Namespace(arch='wideresnet18', batch_size=128, data='/scratch/bzhou/imagenet/data_pytorch', dataset='imagenet', epochs=90, evaluate=False, lr=0.1, momentum=0.9, num_classes=1000, pretrained=True, print_freq=10, resume='imagenet_wideresnet18_best.pth.tar', start_epoch=0, weight_decay=0.0001, workers=8) => creating model 'wideresnet18' DataParallel ( (module): ResNet ( (conv1): Conv2d(3, 64, kernel_size=(7, 7), stride=(2, 2), padding=(3, 3), bias=False) (bn1): BatchNorm2d(64, eps=1e-05, momentum=0.1, affine=True) (relu): ReLU (inplace) (layer1): Sequential ( (0): BasicBlock ( (conv1): Conv2d(64, 64, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False) (bn1): BatchNorm2d(64, eps=1e-05, momentum=0.1, affine=True) (relu): ReLU (inplace) (conv2): Conv2d(64, 64, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False) (bn2): BatchNorm2d(64, eps=1e-05, momentum=0.1, affine=True) ) (1): BasicBlock ( (conv1): Conv2d(64, 64, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False) (bn1): BatchNorm2d(64, eps=1e-05, momentum=0.1, affine=True) (relu): ReLU (inplace) (conv2): Conv2d(64, 64, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False) (bn2): BatchNorm2d(64, eps=1e-05, momentum=0.1, affine=True) ) ) (layer2): Sequential ( (0): BasicBlock ( (conv1): Conv2d(64, 128, kernel_size=(3, 3), stride=(2, 2), padding=(1, 1), bias=False) (bn1): BatchNorm2d(128, eps=1e-05, momentum=0.1, affine=True) (relu): ReLU (inplace) (conv2): Conv2d(128, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False) (bn2): BatchNorm2d(128, eps=1e-05, momentum=0.1, affine=True) (downsample): Sequential ( (0): Conv2d(64, 128, kernel_size=(1, 1), stride=(2, 2), bias=False) (1): BatchNorm2d(128, eps=1e-05, momentum=0.1, affine=True) ) ) (1): BasicBlock ( (conv1): Conv2d(128, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False) (bn1): BatchNorm2d(128, eps=1e-05, momentum=0.1, affine=True) (relu): ReLU (inplace) (conv2): Conv2d(128, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False) (bn2): BatchNorm2d(128, eps=1e-05, momentum=0.1, affine=True) ) ) (layer3): Sequential ( (0): BasicBlock ( (conv1): Conv2d(128, 256, kernel_size=(3, 3), stride=(2, 2), padding=(1, 1), bias=False) (bn1): BatchNorm2d(256, eps=1e-05, momentum=0.1, affine=True) (relu): ReLU (inplace) (conv2): Conv2d(256, 256, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False) (bn2): BatchNorm2d(256, eps=1e-05, momentum=0.1, affine=True) (downsample): Sequential ( (0): Conv2d(128, 256, kernel_size=(1, 1), stride=(2, 2), bias=False) (1): BatchNorm2d(256, eps=1e-05, momentum=0.1, affine=True) ) ) (1): BasicBlock ( (conv1): Conv2d(256, 256, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False) (bn1): BatchNorm2d(256, eps=1e-05, momentum=0.1, affine=True) (relu): ReLU (inplace) (conv2): Conv2d(256, 256, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False) (bn2): BatchNorm2d(256, eps=1e-05, momentum=0.1, affine=True) ) ) (layer4): Sequential ( (0): BasicBlock ( (conv1): Conv2d(256, 512, kernel_size=(3, 3), stride=(2, 2), padding=(1, 1), bias=False) (bn1): BatchNorm2d(512, eps=1e-05, momentum=0.1, affine=True) (relu): ReLU (inplace) (conv2): Conv2d(512, 512, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False) (bn2): BatchNorm2d(512, eps=1e-05, momentum=0.1, affine=True) (downsample): Sequential ( (0): Conv2d(256, 512, kernel_size=(1, 1), stride=(2, 2), bias=False) (1): BatchNorm2d(512, eps=1e-05, momentum=0.1, affine=True) ) ) (1): BasicBlock ( (conv1): Conv2d(512, 512, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False) (bn1): BatchNorm2d(512, eps=1e-05, momentum=0.1, affine=True) (relu): ReLU (inplace) (conv2): Conv2d(512, 512, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False) (bn2): BatchNorm2d(512, eps=1e-05, momentum=0.1, affine=True) ) ) (avgpool): AvgPool2d (size=14, stride=14, padding=0, ceil_mode=False, count_include_pad=True) (fc): Linear (512 -> 1000) ) ) => loading checkpoint 'imagenet_wideresnet18_best.pth.tar' => loaded checkpoint 'imagenet_wideresnet18_best.pth.tar' (epoch 35) Epoch: [35][0/10010] Time 28.641 (28.641) Data 12.004 (12.004) Loss 1.9902 (1.9902) Prec@1 57.031 (57.031) Prec@5 79.688 (79.688) Epoch: [35][10/10010] Time 0.307 (2.870) Data 0.001 (1.092) Loss 1.8274 (1.7500) Prec@1 59.375 (62.074) Prec@5 81.250 (81.747) Epoch: [35][20/10010] Time 1.220 (1.942) Data 0.954 (0.890) Loss 1.9635 (1.7794) Prec@1 58.594 (60.565) Prec@5 75.000 (80.990) Epoch: [35][30/10010] Time 0.308 (1.714) Data 0.001 (0.911) Loss 1.3990 (1.7670) Prec@1 61.719 (60.660) Prec@5 88.281 (81.300) Epoch: [35][40/10010] Time 0.381 (1.583) Data 0.241 (0.922) Loss 2.1261 (1.7859) Prec@1 50.781 (60.309) Prec@5 75.000 (80.945) Epoch: [35][50/10010] Time 3.188 (1.706) Data 3.045 (1.138) Loss 1.7711 (1.7622) Prec@1 59.375 (60.463) Prec@5 82.031 (81.388) Epoch: [35][60/10010] Time 0.310 (1.628) Data 0.000 (1.111) Loss 1.5691 (1.7592) Prec@1 66.406 (60.451) Prec@5 85.938 (81.493) Epoch: [35][70/10010] Time 0.596 (1.575) Data 0.457 (1.103) Loss 1.9622 (1.7575) Prec@1 58.594 (60.585) Prec@5 73.438 (81.448) Epoch: [35][80/10010] Time 0.310 (1.560) Data 0.000 (1.119) Loss 1.7727 (1.7594) Prec@1 57.812 (60.754) Prec@5 82.031 (81.346) Epoch: [35][90/10010] Time 1.028 (1.590) Data 0.885 (1.174) Loss 1.6604 (1.7728) Prec@1 60.156 (60.543) Prec@5 84.375 (81.302) Epoch: [35][100/10010] Time 0.669 (1.559) Data 0.538 (1.163) Loss 1.6947 (1.7815) Prec@1 54.688 (60.187) Prec@5 83.594 (81.157) Epoch: [35][110/10010] Time 2.443 (1.563) Data 2.305 (1.185) Loss 2.1218 (1.7839) Prec@1 61.719 (60.269) Prec@5 77.344 (81.109) Epoch: [35][120/10010] Time 3.723 (1.557) Data 3.586 (1.191) Loss 1.8871 (1.7856) Prec@1 61.719 (60.331) Prec@5 79.688 (81.082) Epoch: [35][130/10010] Time 0.306 (1.558) Data 0.001 (1.206) Loss 1.6861 (1.7963) Prec@1 60.938 (60.025) Prec@5 82.812 (80.934) Epoch: [35][140/10010] Time 0.932 (1.539) Data 0.795 (1.201) Loss 1.7508 (1.7984) Prec@1 53.906 (60.023) Prec@5 83.594 (80.973) Epoch: [35][150/10010] Time 1.432 (1.535) Data 1.295 (1.206) Loss 1.6886 (1.7888) Prec@1 60.156 (60.182) Prec@5 83.594 (81.121) Epoch: [35][160/10010] Time 1.891 (1.539) Data 1.751 (1.217) Loss 1.8538 (1.7840) Prec@1 54.688 (60.142) Prec@5 78.906 (81.201) Epoch: [35][170/10010] Time 0.317 (1.517) Data 0.016 (1.202) Loss 1.9395 (1.7857) Prec@1 57.031 (60.015) Prec@5 78.906 (81.191) Epoch: [35][180/10010] Time 2.398 (1.544) Data 2.262 (1.237) Loss 1.6384 (1.7809) Prec@1 60.156 (59.997) Prec@5 82.812 (81.293) Epoch: [35][190/10010] Time 0.996 (1.523) Data 0.842 (1.224) Loss 2.0361 (1.7855) Prec@1 57.031 (59.927) Prec@5 77.344 (81.160) Epoch: [35][200/10010] Time 0.318 (1.523) Data 0.000 (1.225) Loss 1.8456 (1.7872) Prec@1 56.250 (59.888) Prec@5 78.125 (81.095) Epoch: [35][210/10010] Time 0.313 (1.516) Data 0.000 (1.225) Loss 1.7830 (1.7865) Prec@1 58.594 (59.838) Prec@5 79.688 (81.087) Epoch: [35][220/10010] Time 0.658 (1.519) Data 0.507 (1.235) Loss 1.6879 (1.7878) Prec@1 65.625 (59.820) Prec@5 79.688 (81.052) Epoch: [35][230/10010] Time 1.088 (1.516) Data 0.946 (1.235) Loss 1.6986 (1.7897) Prec@1 62.500 (59.781) Prec@5 80.469 (81.040) Epoch: [35][240/10010] Time 0.309 (1.510) Data 0.001 (1.232) Loss 1.5990 (1.7882) Prec@1 64.844 (59.735) Prec@5 88.281 (81.091) Epoch: [35][250/10010] Time 0.830 (1.507) Data 0.693 (1.233) Loss 1.9401 (1.7869) Prec@1 56.250 (59.714) Prec@5 77.344 (81.097) Epoch: [35][260/10010] Time 0.797 (1.512) Data 0.662 (1.243) Loss 1.7385 (1.7852) Prec@1 60.156 (59.737) Prec@5 80.469 (81.136) Epoch: [35][270/10010] Time 0.311 (1.510) Data 0.001 (1.245) Loss 1.5762 (1.7847) Prec@1 62.500 (59.779) Prec@5 82.812 (81.126) Epoch: [35][280/10010] Time 0.313 (1.509) Data 0.001 (1.247) Loss 1.8409 (1.7840) Prec@1 57.812 (59.803) Prec@5 80.469 (81.114) Epoch: [35][290/10010] Time 2.446 (1.503) Data 2.303 (1.243) Loss 2.0943 (1.7863) Prec@1 51.562 (59.775) Prec@5 78.125 (81.078) Epoch: [35][300/10010] Time 3.484 (1.511) Data 3.346 (1.254) Loss 1.8412 (1.7853) Prec@1 57.031 (59.764) Prec@5 78.906 (81.094) Epoch: [35][310/10010] Time 0.925 (1.502) Data 0.785 (1.247) Loss 1.7715 (1.7862) Prec@1 55.469 (59.689) Prec@5 80.469 (81.119) Epoch: [35][320/10010] Time 0.659 (1.503) Data 0.520 (1.251) Loss 1.6924 (1.7858) Prec@1 61.719 (59.674) Prec@5 84.375 (81.099) Epoch: [35][330/10010] Time 1.827 (1.501) Data 1.576 (1.249) Loss 1.9971 (1.7899) Prec@1 49.219 (59.552) Prec@5 77.344 (81.035) Epoch: [35][340/10010] Time 1.872 (1.510) Data 1.733 (1.261) Loss 1.6762 (1.7885) Prec@1 64.062 (59.577) Prec@5 85.938 (81.039) Epoch: [35][350/10010] Time 0.313 (1.504) Data 0.000 (1.257) Loss 1.9298 (1.7891) Prec@1 57.031 (59.526) Prec@5 78.906 (81.036) Epoch: [35][360/10010] Time 0.313 (1.497) Data 0.008 (1.249) Loss 1.7471 (1.7867) Prec@1 57.812 (59.570) Prec@5 81.250 (81.090) Epoch: [35][370/10010] Time 1.376 (1.501) Data 1.236 (1.255) Loss 1.6759 (1.7874) Prec@1 61.719 (59.529) Prec@5 81.250 (81.050) Epoch: [35][380/10010] Time 2.032 (1.508) Data 1.894 (1.262) Loss 1.5766 (1.7880) Prec@1 66.406 (59.473) Prec@5 85.156 (81.047) Epoch: [35][390/10010] Time 2.182 (1.505) Data 2.044 (1.260) Loss 1.9074 (1.7864) Prec@1 56.250 (59.493) Prec@5 80.469 (81.092) Epoch: [35][400/10010] Time 0.313 (1.496) Data 0.152 (1.253) Loss 1.6321 (1.7850) Prec@1 59.375 (59.527) Prec@5 81.250 (81.110) Epoch: [35][410/10010] Time 0.314 (1.501) Data 0.001 (1.259) Loss 1.5948 (1.7861) Prec@1 56.250 (59.504) Prec@5 82.812 (81.087) Epoch: [35][420/10010] Time 1.966 (1.499) Data 1.825 (1.260) Loss 2.0120 (1.7851) Prec@1 55.469 (59.492) Prec@5 76.562 (81.096) Epoch: [35][430/10010] Time 0.479 (1.495) Data 0.340 (1.257) Loss 1.7730 (1.7821) Prec@1 62.500 (59.553) Prec@5 78.906 (81.156) Epoch: [35][440/10010] Time 3.822 (1.503) Data 3.673 (1.265) Loss 2.1754 (1.7833) Prec@1 57.812 (59.520) Prec@5 75.000 (81.128) Epoch: [35][450/10010] Time 0.313 (1.499) Data 0.000 (1.262) Loss 2.0569 (1.7847) Prec@1 57.031 (59.514) Prec@5 76.562 (81.115) Epoch: [35][460/10010] Time 0.309 (1.497) Data 0.001 (1.261) Loss 1.6703 (1.7863) Prec@1 58.594 (59.480) Prec@5 83.594 (81.108) Epoch: [35][470/10010] Time 0.312 (1.495) Data 0.000 (1.259) Loss 1.9901 (1.7867) Prec@1 55.469 (59.476) Prec@5 76.562 (81.079) Epoch: [35][480/10010] Time 2.013 (1.498) Data 1.873 (1.263) Loss 2.0884 (1.7883) Prec@1 60.938 (59.458) Prec@5 79.688 (81.068) Epoch: [35][490/10010] Time 0.314 (1.496) Data 0.001 (1.262) Loss 1.7711 (1.7877) Prec@1 60.938 (59.470) Prec@5 79.688 (81.070) Epoch: [35][500/10010] Time 3.362 (1.502) Data 3.223 (1.269) Loss 1.9982 (1.7885) Prec@1 58.594 (59.453) Prec@5 78.906 (81.083) Epoch: [35][510/10010] Time 0.318 (1.498) Data 0.001 (1.265) Loss 1.7248 (1.7876) Prec@1 60.156 (59.455) Prec@5 81.250 (81.103) Epoch: [35][520/10010] Time 0.755 (1.497) Data 0.609 (1.264) Loss 1.4703 (1.7864) Prec@1 67.188 (59.468) Prec@5 89.844 (81.123) Epoch: [35][530/10010] Time 3.684 (1.497) Data 3.546 (1.265) Loss 1.8335 (1.7885) Prec@1 58.594 (59.440) Prec@5 77.344 (81.100) Epoch: [35][540/10010] Time 0.696 (1.498) Data 0.557 (1.268) Loss 2.0166 (1.7873) Prec@1 57.031 (59.480) Prec@5 73.438 (81.119) Epoch: [35][550/10010] Time 0.313 (1.493) Data 0.012 (1.263) Loss 1.8050 (1.7884) Prec@1 57.031 (59.464) Prec@5 78.906 (81.081) Epoch: [35][560/10010] Time 2.973 (1.496) Data 2.828 (1.266) Loss 1.9811 (1.7899) Prec@1 53.906 (59.468) Prec@5 81.250 (81.061) Epoch: [35][570/10010] Time 5.209 (1.500) Data 5.058 (1.271) Loss 1.8210 (1.7893) Prec@1 57.812 (59.475) Prec@5 80.469 (81.058) Epoch: [35][580/10010] Time 0.320 (1.496) Data 0.001 (1.266) Loss 2.1364 (1.7906) Prec@1 53.906 (59.472) Prec@5 78.125 (81.044) Epoch: [35][590/10010] Time 0.312 (1.493) Data 0.000 (1.263) Loss 1.8929 (1.7909) Prec@1 52.344 (59.437) Prec@5 79.688 (81.057) Epoch: [35][600/10010] Time 2.362 (1.496) Data 2.223 (1.267) Loss 1.9426 (1.7903) Prec@1 55.469 (59.426) Prec@5 80.469 (81.082) Epoch: [35][610/10010] Time 1.635 (1.495) Data 1.493 (1.267) Loss 1.7942 (1.7903) Prec@1 60.156 (59.425) Prec@5 82.812 (81.094) Epoch: [35][620/10010] Time 1.196 (1.498) Data 1.055 (1.272) Loss 1.6640 (1.7898) Prec@1 60.938 (59.432) Prec@5 82.031 (81.099) Epoch: [35][630/10010] Time 0.318 (1.495) Data 0.001 (1.269) Loss 1.9271 (1.7888) Prec@1 58.594 (59.448) Prec@5 78.125 (81.104) Epoch: [35][640/10010] Time 3.395 (1.498) Data 3.253 (1.272) Loss 2.2275 (1.7890) Prec@1 49.219 (59.446) Prec@5 77.344 (81.103) Epoch: [35][650/10010] Time 0.317 (1.496) Data 0.009 (1.270) Loss 1.2689 (1.7891) Prec@1 68.750 (59.445) Prec@5 89.062 (81.090) Epoch: [35][660/10010] Time 0.704 (1.500) Data 0.564 (1.274) Loss 1.8683 (1.7876) Prec@1 55.469 (59.481) Prec@5 79.688 (81.107) Epoch: [35][670/10010] Time 3.847 (1.502) Data 3.705 (1.276) Loss 2.2876 (1.7877) Prec@1 54.688 (59.489) Prec@5 72.656 (81.095) Epoch: [35][680/10010] Time 0.315 (1.500) Data 0.001 (1.274) Loss 1.7849 (1.7876) Prec@1 57.031 (59.470) Prec@5 82.812 (81.092) Epoch: [35][690/10010] Time 0.312 (1.495) Data 0.001 (1.269) Loss 1.9421 (1.7901) Prec@1 53.125 (59.434) Prec@5 78.906 (81.051) Epoch: [35][700/10010] Time 0.314 (1.498) Data 0.001 (1.273) Loss 2.0769 (1.7907) Prec@1 50.781 (59.407) Prec@5 75.000 (81.047) Epoch: [35][710/10010] Time 1.449 (1.501) Data 1.310 (1.276) Loss 1.4891 (1.7919) Prec@1 67.188 (59.397) Prec@5 81.250 (81.028) Epoch: [35][720/10010] Time 0.314 (1.498) Data 0.010 (1.273) Loss 1.8977 (1.7899) Prec@1 58.594 (59.430) Prec@5 83.594 (81.074) Epoch: [35][730/10010] Time 1.704 (1.498) Data 1.567 (1.273) Loss 1.8204 (1.7917) Prec@1 57.812 (59.403) Prec@5 75.000 (81.036) Epoch: [35][740/10010] Time 5.247 (1.505) Data 5.105 (1.281) Loss 1.9332 (1.7919) Prec@1 60.938 (59.381) Prec@5 78.125 (81.039) Epoch: [35][750/10010] Time 0.319 (1.500) Data 0.000 (1.276) Loss 2.0623 (1.7930) Prec@1 54.688 (59.354) Prec@5 75.000 (81.003) Epoch: [35][760/10010] Time 0.313 (1.501) Data 0.000 (1.277) Loss 2.0454 (1.7947) Prec@1 53.125 (59.330) Prec@5 75.000 (80.968) Epoch: [35][770/10010] Time 4.162 (1.503) Data 4.014 (1.280) Loss 1.7633 (1.7949) Prec@1 58.594 (59.317) Prec@5 82.812 (80.977) Epoch: [35][780/10010] Time 0.314 (1.503) Data 0.001 (1.280) Loss 1.7233 (1.7950) Prec@1 63.281 (59.319) Prec@5 82.031 (80.973) Epoch: [35][790/10010] Time 0.936 (1.501) Data 0.799 (1.278) Loss 1.5884 (1.7945) Prec@1 65.625 (59.342) Prec@5 85.938 (80.970) Epoch: [35][800/10010] Time 0.319 (1.502) Data 0.001 (1.279) Loss 1.7343 (1.7942) Prec@1 57.031 (59.329) Prec@5 82.031 (80.975) Epoch: [35][810/10010] Time 7.980 (1.508) Data 7.841 (1.285) Loss 1.7650 (1.7930) Prec@1 59.375 (59.366) Prec@5 80.469 (80.991) Epoch: [35][820/10010] Time 0.318 (1.502) Data 0.001 (1.279) Loss 1.6525 (1.7917) Prec@1 60.938 (59.399) Prec@5 85.156 (81.019) Epoch: [35][830/10010] Time 2.921 (1.503) Data 2.781 (1.281) Loss 1.7937 (1.7917) Prec@1 57.031 (59.393) Prec@5 80.469 (81.009) Epoch: [35][840/10010] Time 0.314 (1.502) Data 0.000 (1.280) Loss 1.9114 (1.7911) Prec@1 65.625 (59.397) Prec@5 78.906 (81.026) Epoch: [35][850/10010] Time 1.615 (1.502) Data 1.473 (1.280) Loss 1.9863 (1.7916) Prec@1 56.250 (59.369) Prec@5 79.688 (81.030) Epoch: [35][860/10010] Time 1.051 (1.502) Data 0.911 (1.281) Loss 2.0929 (1.7918) Prec@1 51.562 (59.382) Prec@5 75.781 (81.020) Epoch: [35][870/10010] Time 4.299 (1.504) Data 4.152 (1.284) Loss 1.9489 (1.7919) Prec@1 51.562 (59.370) Prec@5 81.250 (81.022) Epoch: [35][880/10010] Time 1.297 (1.501) Data 1.167 (1.281) Loss 1.8108 (1.7917) Prec@1 57.031 (59.382) Prec@5 81.250 (81.033) Epoch: [35][890/10010] Time 0.694 (1.503) Data 0.553 (1.283) Loss 1.6414 (1.7919) Prec@1 63.281 (59.371) Prec@5 82.031 (81.033) Epoch: [35][900/10010] Time 3.468 (1.505) Data 3.314 (1.285) Loss 1.7831 (1.7918) Prec@1 59.375 (59.370) Prec@5 82.031 (81.021) Epoch: [35][910/10010] Time 1.982 (1.504) Data 1.840 (1.285) Loss 1.7770 (1.7923) Prec@1 57.812 (59.370) Prec@5 80.469 (81.017) Epoch: [35][920/10010] Time 0.321 (1.503) Data 0.000 (1.284) Loss 2.0688 (1.7933) Prec@1 51.562 (59.350) Prec@5 76.562 (81.008) Epoch: [35][930/10010] Time 0.315 (1.503) Data 0.000 (1.284) Loss 1.7429 (1.7934) Prec@1 60.156 (59.351) Prec@5 82.812 (81.013) Epoch: [35][940/10010] Time 0.312 (1.500) Data 0.009 (1.280) Loss 1.7836 (1.7939) Prec@1 63.281 (59.338) Prec@5 82.031 (81.008) Epoch: [35][950/10010] Time 2.640 (1.504) Data 2.508 (1.285) Loss 1.9192 (1.7952) Prec@1 59.375 (59.308) Prec@5 78.125 (80.983) Epoch: [35][960/10010] Time 0.314 (1.502) Data 0.001 (1.283) Loss 1.7667 (1.7943) Prec@1 60.156 (59.332) Prec@5 76.562 (80.990) Epoch: [35][970/10010] Time 2.212 (1.503) Data 2.070 (1.285) Loss 1.6510 (1.7939) Prec@1 62.500 (59.332) Prec@5 82.812 (80.987) Epoch: [35][980/10010] Time 1.091 (1.501) Data 0.953 (1.284) Loss 2.0201 (1.7937) Prec@1 57.812 (59.336) Prec@5 78.125 (80.990) Epoch: [35][990/10010] Time 0.745 (1.502) Data 0.610 (1.284) Loss 1.6951 (1.7934) Prec@1 60.938 (59.335) Prec@5 82.812 (80.987) Epoch: [35][1000/10010] Time 3.364 (1.503) Data 3.223 (1.286) Loss 1.6906 (1.7931) Prec@1 60.156 (59.347) Prec@5 82.812 (80.990) Epoch: [35][1010/10010] Time 1.997 (1.502) Data 1.859 (1.285) Loss 1.9927 (1.7922) Prec@1 56.250 (59.363) Prec@5 79.688 (80.993) Epoch: [35][1020/10010] Time 0.314 (1.500) Data 0.000 (1.283) Loss 1.7346 (1.7927) Prec@1 58.594 (59.347) Prec@5 83.594 (80.988) Epoch: [35][1030/10010] Time 1.160 (1.501) Data 1.027 (1.284) Loss 1.7180 (1.7919) Prec@1 58.594 (59.351) Prec@5 80.469 (80.995) Epoch: [35][1040/10010] Time 2.421 (1.502) Data 2.180 (1.285) Loss 1.8152 (1.7931) Prec@1 57.812 (59.314) Prec@5 78.906 (80.975) Epoch: [35][1050/10010] Time 0.314 (1.502) Data 0.001 (1.285) Loss 2.1273 (1.7936) Prec@1 50.781 (59.313) Prec@5 71.094 (80.960) Epoch: [35][1060/10010] Time 0.315 (1.501) Data 0.000 (1.285) Loss 1.7962 (1.7934) Prec@1 60.156 (59.325) Prec@5 78.906 (80.955) Epoch: [35][1070/10010] Time 0.319 (1.500) Data 0.013 (1.284) Loss 2.0289 (1.7929) Prec@1 55.469 (59.328) Prec@5 77.344 (80.959) Epoch: [35][1080/10010] Time 0.313 (1.502) Data 0.001 (1.285) Loss 1.7358 (1.7936) Prec@1 57.031 (59.314) Prec@5 78.125 (80.945) Epoch: [35][1090/10010] Time 0.479 (1.502) Data 0.339 (1.286) Loss 1.5547 (1.7936) Prec@1 63.281 (59.317) Prec@5 81.250 (80.934) Epoch: [35][1100/10010] Time 0.319 (1.500) Data 0.000 (1.283) Loss 1.6804 (1.7935) Prec@1 57.812 (59.327) Prec@5 82.812 (80.931) Epoch: [35][1110/10010] Time 0.315 (1.499) Data 0.001 (1.282) Loss 1.6125 (1.7938) Prec@1 64.062 (59.331) Prec@5 85.938 (80.930) Epoch: [35][1120/10010] Time 0.331 (1.500) Data 0.001 (1.284) Loss 1.8686 (1.7941) Prec@1 54.688 (59.331) Prec@5 82.812 (80.929) Epoch: [35][1130/10010] Time 5.487 (1.503) Data 5.345 (1.287) Loss 1.7633 (1.7944) Prec@1 56.250 (59.310) Prec@5 82.812 (80.923) /data/vision/torralba/deepscene/lib/anaconda2/lib/python2.7/site-packages/PIL/TiffImagePlugin.py:692: UserWarning: Possibly corrupt EXIF data. Expecting to read 2555904 bytes but only got 0. Skipping tag 0 "Skipping tag %s" % (size, len(data), tag)) Epoch: [35][1140/10010] Time 0.311 (1.501) Data 0.000 (1.285) Loss 1.4636 (1.7940) Prec@1 68.750 (59.324) Prec@5 84.375 (80.934) Epoch: [35][1150/10010] Time 0.361 (1.499) Data 0.222 (1.283) Loss 1.8182 (1.7940) Prec@1 60.156 (59.316) Prec@5 82.812 (80.936) Epoch: [35][1160/10010] Time 4.560 (1.502) Data 4.417 (1.286) Loss 1.5357 (1.7943) Prec@1 65.625 (59.328) Prec@5 86.719 (80.940) Epoch: [35][1170/10010] Time 0.313 (1.499) Data 0.001 (1.283) Loss 1.6057 (1.7931) Prec@1 60.938 (59.344) Prec@5 82.031 (80.964) Epoch: [35][1180/10010] Time 0.314 (1.499) Data 0.000 (1.283) Loss 1.7688 (1.7931) Prec@1 61.719 (59.346) Prec@5 78.906 (80.956) Epoch: [35][1190/10010] Time 2.216 (1.500) Data 2.079 (1.285) Loss 1.8261 (1.7926) Prec@1 57.031 (59.368) Prec@5 82.031 (80.969) Epoch: [35][1200/10010] Time 3.048 (1.501) Data 2.902 (1.286) Loss 1.8655 (1.7923) Prec@1 59.375 (59.375) Prec@5 76.562 (80.968) Epoch: [35][1210/10010] Time 0.313 (1.500) Data 0.001 (1.285) Loss 1.4698 (1.7908) Prec@1 66.406 (59.396) Prec@5 85.938 (80.988) Epoch: [35][1220/10010] Time 3.078 (1.501) Data 2.940 (1.286) Loss 1.6652 (1.7910) Prec@1 57.812 (59.390) Prec@5 81.250 (80.985) Epoch: [35][1230/10010] Time 0.315 (1.503) Data 0.001 (1.287) Loss 1.9485 (1.7916) Prec@1 53.125 (59.375) Prec@5 77.344 (80.973) Epoch: [35][1240/10010] Time 1.787 (1.500) Data 1.647 (1.285) Loss 1.9749 (1.7914) Prec@1 56.250 (59.383) Prec@5 77.344 (80.977) Epoch: [35][1250/10010] Time 0.319 (1.500) Data 0.001 (1.285) Loss 1.6134 (1.7916) Prec@1 64.062 (59.382) Prec@5 89.062 (80.973) Epoch: [35][1260/10010] Time 1.634 (1.503) Data 1.497 (1.287) Loss 2.2749 (1.7925) Prec@1 53.125 (59.379) Prec@5 74.219 (80.956) Epoch: [35][1270/10010] Time 3.002 (1.503) Data 2.865 (1.288) Loss 1.8395 (1.7924) Prec@1 57.812 (59.384) Prec@5 82.031 (80.964) Epoch: [35][1280/10010] Time 0.783 (1.502) Data 0.639 (1.287) Loss 2.0643 (1.7923) Prec@1 46.875 (59.386) Prec@5 76.562 (80.959) Epoch: [35][1290/10010] Time 0.416 (1.503) Data 0.275 (1.288) Loss 1.9219 (1.7927) Prec@1 50.000 (59.379) Prec@5 78.125 (80.955) Epoch: [35][1300/10010] Time 4.992 (1.505) Data 4.851 (1.291) Loss 1.8610 (1.7933) Prec@1 63.281 (59.371) Prec@5 82.031 (80.942) Epoch: [35][1310/10010] Time 0.314 (1.504) Data 0.125 (1.290) Loss 1.8194 (1.7930) Prec@1 54.688 (59.370) Prec@5 81.250 (80.943) Epoch: [35][1320/10010] Time 0.842 (1.503) Data 0.705 (1.289) Loss 1.5233 (1.7926) Prec@1 68.750 (59.370) Prec@5 88.281 (80.946) Epoch: [35][1330/10010] Time 0.315 (1.503) Data 0.173 (1.289) Loss 1.7184 (1.7927) Prec@1 60.938 (59.363) Prec@5 82.812 (80.945) Epoch: [35][1340/10010] Time 0.318 (1.503) Data 0.001 (1.289) Loss 1.7399 (1.7926) Prec@1 60.156 (59.358) Prec@5 80.469 (80.944) Epoch: [35][1350/10010] Time 1.399 (1.504) Data 1.152 (1.291) Loss 1.5281 (1.7918) Prec@1 64.844 (59.374) Prec@5 85.156 (80.960) Epoch: [35][1360/10010] Time 0.316 (1.505) Data 0.001 (1.291) Loss 1.4259 (1.7916) Prec@1 64.844 (59.376) Prec@5 87.500 (80.962) Epoch: [35][1370/10010] Time 0.987 (1.503) Data 0.851 (1.290) Loss 2.2159 (1.7920) Prec@1 46.875 (59.363) Prec@5 76.562 (80.953) Epoch: [35][1380/10010] Time 0.314 (1.503) Data 0.001 (1.290) Loss 1.7716 (1.7921) Prec@1 60.938 (59.367) Prec@5 82.812 (80.945) Epoch: [35][1390/10010] Time 0.312 (1.503) Data 0.001 (1.290) Loss 1.6546 (1.7924) Prec@1 60.156 (59.366) Prec@5 81.250 (80.940) Epoch: [35][1400/10010] Time 1.027 (1.502) Data 0.882 (1.289) Loss 1.6102 (1.7919) Prec@1 64.844 (59.367) Prec@5 82.812 (80.945) Epoch: [35][1410/10010] Time 1.669 (1.503) Data 1.527 (1.290) Loss 2.0299 (1.7925) Prec@1 57.031 (59.356) Prec@5 75.781 (80.931) Epoch: [35][1420/10010] Time 3.576 (1.504) Data 3.433 (1.291) Loss 1.6578 (1.7926) Prec@1 63.281 (59.345) Prec@5 82.031 (80.938) Epoch: [35][1430/10010] Time 0.315 (1.503) Data 0.000 (1.290) Loss 1.9934 (1.7936) Prec@1 55.469 (59.328) Prec@5 77.344 (80.921) Epoch: [35][1440/10010] Time 1.716 (1.502) Data 1.579 (1.289) Loss 1.4406 (1.7937) Prec@1 63.281 (59.314) Prec@5 89.844 (80.917) Epoch: [35][1450/10010] Time 3.163 (1.503) Data 3.026 (1.291) Loss 1.7024 (1.7933) Prec@1 64.844 (59.321) Prec@5 81.250 (80.923) Epoch: [35][1460/10010] Time 1.124 (1.503) Data 0.987 (1.291) Loss 1.9578 (1.7937) Prec@1 51.562 (59.310) Prec@5 77.344 (80.917) Epoch: [35][1470/10010] Time 1.539 (1.502) Data 1.400 (1.290) Loss 1.7355 (1.7938) Prec@1 57.031 (59.300) Prec@5 82.812 (80.914) Epoch: [35][1480/10010] Time 2.958 (1.502) Data 2.819 (1.290) Loss 1.6041 (1.7929) Prec@1 58.594 (59.314) Prec@5 84.375 (80.917) Epoch: [35][1490/10010] Time 0.320 (1.503) Data 0.001 (1.290) Loss 1.7051 (1.7934) Prec@1 61.719 (59.319) Prec@5 82.031 (80.908) Epoch: [35][1500/10010] Time 3.238 (1.503) Data 3.098 (1.291) Loss 1.6827 (1.7935) Prec@1 57.812 (59.317) Prec@5 80.469 (80.903) Epoch: [35][1510/10010] Time 3.108 (1.504) Data 2.971 (1.291) Loss 1.9596 (1.7933) Prec@1 52.344 (59.323) Prec@5 76.562 (80.906) Epoch: [35][1520/10010] Time 0.517 (1.503) Data 0.382 (1.291) Loss 1.8907 (1.7931) Prec@1 57.812 (59.331) Prec@5 82.031 (80.900) Epoch: [35][1530/10010] Time 0.314 (1.502) Data 0.000 (1.290) Loss 1.7691 (1.7928) Prec@1 60.156 (59.335) Prec@5 81.250 (80.905) Epoch: [35][1540/10010] Time 0.319 (1.503) Data 0.001 (1.291) Loss 1.4756 (1.7919) Prec@1 61.719 (59.333) Prec@5 83.594 (80.916) Epoch: [35][1550/10010] Time 5.461 (1.504) Data 5.313 (1.292) Loss 1.7088 (1.7925) Prec@1 59.375 (59.312) Prec@5 82.031 (80.907) Epoch: [35][1560/10010] Time 1.260 (1.503) Data 1.121 (1.291) Loss 1.4978 (1.7925) Prec@1 65.625 (59.315) Prec@5 84.375 (80.911) Epoch: [35][1570/10010] Time 1.935 (1.503) Data 1.794 (1.290) Loss 1.7710 (1.7927) Prec@1 63.281 (59.311) Prec@5 81.250 (80.907) Epoch: [35][1580/10010] Time 0.324 (1.503) Data 0.000 (1.291) Loss 1.7478 (1.7927) Prec@1 57.812 (59.306) Prec@5 81.250 (80.910) Epoch: [35][1590/10010] Time 0.882 (1.501) Data 0.742 (1.289) Loss 1.6985 (1.7925) Prec@1 64.062 (59.309) Prec@5 81.250 (80.915) Epoch: [35][1600/10010] Time 2.947 (1.502) Data 2.803 (1.289) Loss 1.9303 (1.7930) Prec@1 53.125 (59.300) Prec@5 78.125 (80.912) Epoch: [35][1610/10010] Time 2.788 (1.503) Data 2.650 (1.291) Loss 2.0545 (1.7935) Prec@1 54.688 (59.298) Prec@5 76.562 (80.899) Epoch: [35][1620/10010] Time 1.263 (1.502) Data 1.125 (1.290) Loss 1.5753 (1.7929) Prec@1 63.281 (59.308) Prec@5 84.375 (80.915) Epoch: [35][1630/10010] Time 3.491 (1.503) Data 3.352 (1.291) Loss 1.8199 (1.7928) Prec@1 61.719 (59.313) Prec@5 79.688 (80.911) Epoch: [35][1640/10010] Time 0.312 (1.502) Data 0.000 (1.289) Loss 1.7804 (1.7928) Prec@1 63.281 (59.305) Prec@5 80.469 (80.909) Epoch: [35][1650/10010] Time 5.070 (1.503) Data 4.931 (1.291) Loss 1.9752 (1.7939) Prec@1 58.594 (59.287) Prec@5 74.219 (80.893) Epoch: [35][1660/10010] Time 0.349 (1.502) Data 0.001 (1.290) Loss 1.9702 (1.7941) Prec@1 60.156 (59.292) Prec@5 78.125 (80.890) Epoch: [35][1670/10010] Time 0.389 (1.502) Data 0.252 (1.291) Loss 1.7420 (1.7936) Prec@1 60.156 (59.305) Prec@5 81.250 (80.895) Epoch: [35][1680/10010] Time 0.888 (1.502) Data 0.750 (1.290) Loss 1.9677 (1.7942) Prec@1 50.000 (59.295) Prec@5 76.562 (80.891) Epoch: [35][1690/10010] Time 0.311 (1.501) Data 0.001 (1.290) Loss 1.9079 (1.7946) Prec@1 54.688 (59.284) Prec@5 78.125 (80.883) Epoch: [35][1700/10010] Time 3.114 (1.503) Data 2.971 (1.292) Loss 1.6416 (1.7941) Prec@1 61.719 (59.293) Prec@5 82.031 (80.892) Epoch: [35][1710/10010] Time 0.313 (1.502) Data 0.000 (1.291) Loss 1.7144 (1.7941) Prec@1 62.500 (59.288) Prec@5 82.812 (80.888) Epoch: [35][1720/10010] Time 0.314 (1.502) Data 0.017 (1.290) Loss 1.6758 (1.7937) Prec@1 62.500 (59.286) Prec@5 82.031 (80.898) Epoch: [35][1730/10010] Time 0.309 (1.500) Data 0.014 (1.289) Loss 1.6648 (1.7939) Prec@1 64.844 (59.286) Prec@5 84.375 (80.895) Epoch: [35][1740/10010] Time 4.156 (1.503) Data 4.018 (1.292) Loss 1.7458 (1.7938) Prec@1 53.906 (59.283) Prec@5 77.344 (80.894) Epoch: [35][1750/10010] Time 0.905 (1.502) Data 0.764 (1.291) Loss 1.9957 (1.7944) Prec@1 56.250 (59.272) Prec@5 79.688 (80.891) Epoch: [35][1760/10010] Time 0.313 (1.501) Data 0.013 (1.290) Loss 1.7568 (1.7940) Prec@1 57.812 (59.281) Prec@5 82.812 (80.892) Epoch: [35][1770/10010] Time 0.318 (1.501) Data 0.000 (1.290) Loss 1.9536 (1.7939) Prec@1 53.906 (59.271) Prec@5 82.812 (80.891) Epoch: [35][1780/10010] Time 1.378 (1.500) Data 1.237 (1.289) Loss 1.4984 (1.7931) Prec@1 57.812 (59.281) Prec@5 83.594 (80.909) Epoch: [35][1790/10010] Time 2.752 (1.502) Data 2.616 (1.291) Loss 1.5719 (1.7931) Prec@1 59.375 (59.280) Prec@5 85.938 (80.911) Epoch: [35][1800/10010] Time 0.312 (1.501) Data 0.164 (1.290) Loss 1.9160 (1.7932) Prec@1 60.156 (59.285) Prec@5 78.906 (80.908) Epoch: [35][1810/10010] Time 1.941 (1.501) Data 1.808 (1.291) Loss 2.1027 (1.7934) Prec@1 53.125 (59.278) Prec@5 70.312 (80.901) Epoch: [35][1820/10010] Time 1.106 (1.500) Data 0.960 (1.289) Loss 1.8818 (1.7931) Prec@1 57.812 (59.281) Prec@5 81.250 (80.904) Epoch: [35][1830/10010] Time 0.875 (1.501) Data 0.740 (1.290) Loss 1.8624 (1.7932) Prec@1 53.125 (59.264) Prec@5 82.031 (80.902) Epoch: [35][1840/10010] Time 0.313 (1.501) Data 0.000 (1.291) Loss 1.4356 (1.7930) Prec@1 61.719 (59.263) Prec@5 85.156 (80.908) Epoch: [35][1850/10010] Time 2.284 (1.500) Data 2.147 (1.290) Loss 1.6858 (1.7926) Prec@1 61.719 (59.271) Prec@5 84.375 (80.915) Epoch: [35][1860/10010] Time 0.442 (1.499) Data 0.306 (1.289) Loss 1.8285 (1.7925) Prec@1 57.031 (59.273) Prec@5 80.469 (80.911) Epoch: [35][1870/10010] Time 0.317 (1.501) Data 0.151 (1.291) Loss 1.5949 (1.7929) Prec@1 63.281 (59.264) Prec@5 82.812 (80.904) Epoch: [35][1880/10010] Time 0.321 (1.501) Data 0.001 (1.290) Loss 1.9574 (1.7925) Prec@1 53.125 (59.270) Prec@5 76.562 (80.910) Epoch: [35][1890/10010] Time 0.729 (1.500) Data 0.580 (1.289) Loss 2.0172 (1.7925) Prec@1 60.156 (59.266) Prec@5 78.125 (80.913) Epoch: [35][1900/10010] Time 0.314 (1.500) Data 0.000 (1.289) Loss 1.9343 (1.7928) Prec@1 54.688 (59.254) Prec@5 76.562 (80.908) Epoch: [35][1910/10010] Time 2.435 (1.501) Data 2.292 (1.291) Loss 1.9451 (1.7933) Prec@1 57.812 (59.249) Prec@5 77.344 (80.898) Epoch: [35][1920/10010] Time 0.311 (1.501) Data 0.000 (1.290) Loss 2.2039 (1.7934) Prec@1 54.688 (59.258) Prec@5 73.438 (80.895) Epoch: [35][1930/10010] Time 0.318 (1.499) Data 0.000 (1.289) Loss 1.5686 (1.7936) Prec@1 63.281 (59.254) Prec@5 84.375 (80.890) Epoch: [35][1940/10010] Time 0.318 (1.498) Data 0.050 (1.288) Loss 1.6658 (1.7930) Prec@1 59.375 (59.260) Prec@5 80.469 (80.899) Epoch: [35][1950/10010] Time 1.562 (1.500) Data 1.427 (1.289) Loss 1.2636 (1.7930) Prec@1 71.094 (59.270) Prec@5 89.844 (80.898) Epoch: [35][1960/10010] Time 1.747 (1.500) Data 1.606 (1.289) Loss 1.8148 (1.7928) Prec@1 57.031 (59.278) Prec@5 83.594 (80.910) Epoch: [35][1970/10010] Time 0.316 (1.499) Data 0.000 (1.288) Loss 2.0238 (1.7938) Prec@1 56.250 (59.264) Prec@5 75.781 (80.894) Epoch: [35][1980/10010] Time 0.314 (1.498) Data 0.001 (1.287) Loss 1.6976 (1.7938) Prec@1 61.719 (59.263) Prec@5 80.469 (80.887) Epoch: [35][1990/10010] Time 2.768 (1.500) Data 2.623 (1.289) Loss 1.7812 (1.7934) Prec@1 58.594 (59.271) Prec@5 81.250 (80.891) Epoch: [35][2000/10010] Time 0.315 (1.499) Data 0.000 (1.288) Loss 1.7597 (1.7935) Prec@1 60.938 (59.269) Prec@5 83.594 (80.894) Epoch: [35][2010/10010] Time 0.312 (1.499) Data 0.000 (1.288) Loss 1.9767 (1.7937) Prec@1 56.250 (59.277) Prec@5 75.781 (80.892) Epoch: [35][2020/10010] Time 0.314 (1.497) Data 0.156 (1.286) Loss 2.1777 (1.7939) Prec@1 49.219 (59.267) Prec@5 77.344 (80.887) Epoch: [35][2030/10010] Time 2.790 (1.499) Data 2.657 (1.288) Loss 1.6835 (1.7939) Prec@1 57.031 (59.255) Prec@5 85.156 (80.893) Epoch: [35][2040/10010] Time 0.653 (1.499) Data 0.516 (1.288) Loss 1.6015 (1.7943) Prec@1 65.625 (59.246) Prec@5 82.031 (80.886) Epoch: [35][2050/10010] Time 0.312 (1.498) Data 0.001 (1.287) Loss 1.9503 (1.7946) Prec@1 54.688 (59.236) Prec@5 77.344 (80.879) Epoch: [35][2060/10010] Time 0.408 (1.498) Data 0.267 (1.287) Loss 1.7021 (1.7951) Prec@1 60.938 (59.221) Prec@5 82.031 (80.869) Epoch: [35][2070/10010] Time 2.681 (1.499) Data 2.542 (1.288) Loss 1.9113 (1.7952) Prec@1 57.031 (59.226) Prec@5 80.469 (80.871) Epoch: [35][2080/10010] Time 0.313 (1.499) Data 0.069 (1.288) Loss 1.6833 (1.7952) Prec@1 55.469 (59.226) Prec@5 82.031 (80.869) Epoch: [35][2090/10010] Time 1.531 (1.498) Data 1.391 (1.288) Loss 1.9256 (1.7949) Prec@1 55.469 (59.235) Prec@5 78.906 (80.872) Epoch: [35][2100/10010] Time 0.310 (1.498) Data 0.008 (1.288) Loss 1.6259 (1.7947) Prec@1 57.812 (59.238) Prec@5 82.812 (80.879) Epoch: [35][2110/10010] Time 5.232 (1.499) Data 5.092 (1.289) Loss 1.8037 (1.7944) Prec@1 59.375 (59.245) Prec@5 81.250 (80.887) Epoch: [35][2120/10010] Time 4.912 (1.499) Data 4.775 (1.289) Loss 1.7106 (1.7942) Prec@1 60.938 (59.251) Prec@5 84.375 (80.889) Epoch: [35][2130/10010] Time 0.308 (1.499) Data 0.001 (1.289) Loss 1.9175 (1.7945) Prec@1 59.375 (59.245) Prec@5 78.906 (80.887) Epoch: [35][2140/10010] Time 0.319 (1.499) Data 0.001 (1.288) Loss 1.9744 (1.7942) Prec@1 57.031 (59.254) Prec@5 75.000 (80.886) Epoch: [35][2150/10010] Time 0.712 (1.497) Data 0.576 (1.287) Loss 2.1508 (1.7943) Prec@1 51.562 (59.258) Prec@5 76.562 (80.880) Epoch: [35][2160/10010] Time 6.006 (1.499) Data 5.866 (1.289) Loss 1.8605 (1.7951) Prec@1 57.031 (59.242) Prec@5 80.469 (80.873) Epoch: [35][2170/10010] Time 0.604 (1.499) Data 0.460 (1.288) Loss 1.4364 (1.7948) Prec@1 67.188 (59.246) Prec@5 85.938 (80.876) Epoch: [35][2180/10010] Time 0.314 (1.498) Data 0.001 (1.287) Loss 1.6502 (1.7946) Prec@1 58.594 (59.246) Prec@5 85.938 (80.883) Epoch: [35][2190/10010] Time 0.313 (1.497) Data 0.000 (1.286) Loss 1.9493 (1.7952) Prec@1 57.812 (59.234) Prec@5 76.562 (80.874) Epoch: [35][2200/10010] Time 5.709 (1.498) Data 5.564 (1.287) Loss 1.9534 (1.7947) Prec@1 57.812 (59.248) Prec@5 78.125 (80.883) Epoch: [35][2210/10010] Time 0.314 (1.499) Data 0.000 (1.288) Loss 1.6982 (1.7939) Prec@1 62.500 (59.256) Prec@5 82.031 (80.896) Epoch: [35][2220/10010] Time 0.552 (1.498) Data 0.413 (1.287) Loss 1.9452 (1.7940) Prec@1 53.906 (59.258) Prec@5 77.344 (80.898) Epoch: [35][2230/10010] Time 0.412 (1.497) Data 0.273 (1.286) Loss 1.5729 (1.7940) Prec@1 64.062 (59.259) Prec@5 82.812 (80.894) Epoch: [35][2240/10010] Time 5.927 (1.498) Data 5.783 (1.287) Loss 2.0642 (1.7938) Prec@1 51.562 (59.269) Prec@5 76.562 (80.894) Epoch: [35][2250/10010] Time 0.649 (1.498) Data 0.510 (1.286) Loss 1.6697 (1.7937) Prec@1 66.406 (59.276) Prec@5 78.906 (80.896) Epoch: [35][2260/10010] Time 0.314 (1.497) Data 0.012 (1.285) Loss 1.6876 (1.7937) Prec@1 60.156 (59.279) Prec@5 80.469 (80.894) Epoch: [35][2270/10010] Time 0.412 (1.496) Data 0.271 (1.285) Loss 2.0102 (1.7939) Prec@1 56.250 (59.273) Prec@5 79.688 (80.894) Epoch: [35][2280/10010] Time 1.461 (1.498) Data 1.320 (1.286) Loss 1.6634 (1.7936) Prec@1 63.281 (59.283) Prec@5 85.156 (80.901) Epoch: [35][2290/10010] Time 0.313 (1.496) Data 0.044 (1.285) Loss 1.8093 (1.7944) Prec@1 57.812 (59.265) Prec@5 78.125 (80.884) Epoch: [35][2300/10010] Time 0.311 (1.496) Data 0.000 (1.285) Loss 1.9348 (1.7947) Prec@1 57.812 (59.258) Prec@5 81.250 (80.880) Epoch: [35][2310/10010] Time 2.161 (1.496) Data 2.017 (1.285) Loss 2.0220 (1.7949) Prec@1 50.000 (59.253) Prec@5 76.562 (80.874) Epoch: [35][2320/10010] Time 0.909 (1.496) Data 0.770 (1.285) Loss 2.1251 (1.7953) Prec@1 57.031 (59.249) Prec@5 76.562 (80.873) Epoch: [35][2330/10010] Time 5.879 (1.497) Data 5.729 (1.287) Loss 2.0010 (1.7954) Prec@1 55.469 (59.244) Prec@5 75.000 (80.873) Epoch: [35][2340/10010] Time 0.556 (1.496) Data 0.416 (1.285) Loss 1.7620 (1.7951) Prec@1 64.062 (59.250) Prec@5 82.812 (80.879) Epoch: [35][2350/10010] Time 0.314 (1.496) Data 0.012 (1.286) Loss 1.8938 (1.7951) Prec@1 60.938 (59.254) Prec@5 76.562 (80.877) Epoch: [35][2360/10010] Time 2.685 (1.496) Data 2.552 (1.285) Loss 1.5385 (1.7952) Prec@1 62.500 (59.254) Prec@5 83.594 (80.874) Epoch: [35][2370/10010] Time 0.343 (1.496) Data 0.111 (1.285) Loss 1.8228 (1.7952) Prec@1 59.375 (59.251) Prec@5 78.125 (80.873) Epoch: [35][2380/10010] Time 0.315 (1.495) Data 0.001 (1.284) Loss 1.7080 (1.7956) Prec@1 61.719 (59.242) Prec@5 82.812 (80.867) Epoch: [35][2390/10010] Time 0.312 (1.496) Data 0.014 (1.285) Loss 1.8152 (1.7957) Prec@1 60.156 (59.242) Prec@5 82.812 (80.868) Epoch: [35][2400/10010] Time 2.460 (1.496) Data 2.327 (1.285) Loss 1.9268 (1.7954) Prec@1 59.375 (59.247) Prec@5 80.469 (80.870) Epoch: [35][2410/10010] Time 0.498 (1.496) Data 0.362 (1.285) Loss 1.8631 (1.7959) Prec@1 53.906 (59.239) Prec@5 78.906 (80.865) Epoch: [35][2420/10010] Time 1.493 (1.496) Data 1.351 (1.286) Loss 1.6103 (1.7959) Prec@1 59.375 (59.240) Prec@5 84.375 (80.863) Epoch: [35][2430/10010] Time 2.237 (1.496) Data 2.097 (1.285) Loss 1.6804 (1.7956) Prec@1 60.156 (59.250) Prec@5 84.375 (80.869) Epoch: [35][2440/10010] Time 3.012 (1.496) Data 2.862 (1.286) Loss 1.8718 (1.7959) Prec@1 55.469 (59.247) Prec@5 77.344 (80.864) Epoch: [35][2450/10010] Time 0.866 (1.495) Data 0.733 (1.285) Loss 1.5982 (1.7955) Prec@1 64.844 (59.262) Prec@5 82.812 (80.868) Epoch: [35][2460/10010] Time 2.208 (1.496) Data 2.070 (1.286) Loss 1.8775 (1.7959) Prec@1 62.500 (59.258) Prec@5 79.688 (80.863) Epoch: [35][2470/10010] Time 0.539 (1.496) Data 0.401 (1.286) Loss 1.6586 (1.7958) Prec@1 61.719 (59.256) Prec@5 85.156 (80.865) Epoch: [35][2480/10010] Time 1.828 (1.496) Data 1.692 (1.286) Loss 1.3995 (1.7959) Prec@1 64.062 (59.252) Prec@5 84.375 (80.864) Epoch: [35][2490/10010] Time 0.313 (1.497) Data 0.001 (1.287) Loss 1.7354 (1.7961) Prec@1 58.594 (59.240) Prec@5 78.125 (80.863) Epoch: [35][2500/10010] Time 0.763 (1.496) Data 0.626 (1.286) Loss 1.5104 (1.7963) Prec@1 63.281 (59.238) Prec@5 85.938 (80.862) Epoch: [35][2510/10010] Time 1.265 (1.496) Data 1.126 (1.286) Loss 1.8552 (1.7963) Prec@1 58.594 (59.235) Prec@5 80.469 (80.866) /data/vision/torralba/deepscene/lib/anaconda2/lib/python2.7/site-packages/PIL/TiffImagePlugin.py:692: UserWarning: Possibly corrupt EXIF data. Expecting to read 2555904 bytes but only got 0. Skipping tag 0 "Skipping tag %s" % (size, len(data), tag)) Epoch: [35][2520/10010] Time 4.254 (1.497) Data 4.116 (1.287) Loss 1.5898 (1.7965) Prec@1 69.531 (59.234) Prec@5 84.375 (80.860) Epoch: [35][2530/10010] Time 1.307 (1.497) Data 1.169 (1.287) Loss 1.6309 (1.7969) Prec@1 64.062 (59.231) Prec@5 85.938 (80.856) Epoch: [35][2540/10010] Time 0.311 (1.496) Data 0.009 (1.286) Loss 1.6458 (1.7970) Prec@1 62.500 (59.226) Prec@5 85.938 (80.857) Epoch: [35][2550/10010] Time 3.055 (1.496) Data 2.919 (1.286) Loss 1.6085 (1.7969) Prec@1 62.500 (59.225) Prec@5 82.031 (80.856) Epoch: [35][2560/10010] Time 4.497 (1.498) Data 4.354 (1.288) Loss 1.8882 (1.7973) Prec@1 53.906 (59.217) Prec@5 78.906 (80.851) Epoch: [35][2570/10010] Time 0.307 (1.497) Data 0.001 (1.288) Loss 1.5962 (1.7972) Prec@1 64.062 (59.214) Prec@5 83.594 (80.855) Epoch: [35][2580/10010] Time 0.315 (1.496) Data 0.000 (1.287) Loss 1.8588 (1.7970) Prec@1 53.906 (59.215) Prec@5 78.906 (80.859) Epoch: [35][2590/10010] Time 2.658 (1.496) Data 2.518 (1.286) Loss 1.7915 (1.7968) Prec@1 54.688 (59.213) Prec@5 83.594 (80.861) Epoch: [35][2600/10010] Time 8.290 (1.498) Data 8.145 (1.289) Loss 1.8237 (1.7971) Prec@1 56.250 (59.203) Prec@5 82.031 (80.858) Epoch: [35][2610/10010] Time 0.317 (1.498) Data 0.000 (1.288) Loss 1.8350 (1.7970) Prec@1 60.938 (59.204) Prec@5 76.562 (80.859) Epoch: [35][2620/10010] Time 0.314 (1.497) Data 0.000 (1.288) Loss 1.7851 (1.7970) Prec@1 61.719 (59.208) Prec@5 83.594 (80.855) Epoch: [35][2630/10010] Time 2.406 (1.496) Data 2.272 (1.286) Loss 2.1622 (1.7974) Prec@1 46.094 (59.197) Prec@5 77.344 (80.847) Epoch: [35][2640/10010] Time 3.201 (1.497) Data 3.060 (1.287) Loss 1.5368 (1.7977) Prec@1 63.281 (59.192) Prec@5 83.594 (80.838) Epoch: [35][2650/10010] Time 0.565 (1.498) Data 0.430 (1.288) Loss 1.6230 (1.7976) Prec@1 63.281 (59.193) Prec@5 86.719 (80.843) Epoch: [35][2660/10010] Time 0.318 (1.498) Data 0.001 (1.288) Loss 1.4831 (1.7979) Prec@1 63.281 (59.182) Prec@5 86.719 (80.837) Epoch: [35][2670/10010] Time 0.312 (1.498) Data 0.000 (1.289) Loss 1.7445 (1.7980) Prec@1 59.375 (59.176) Prec@5 84.375 (80.837) Epoch: [35][2680/10010] Time 3.210 (1.498) Data 2.963 (1.289) Loss 1.9964 (1.7982) Prec@1 54.688 (59.174) Prec@5 75.781 (80.831) Epoch: [35][2690/10010] Time 0.320 (1.498) Data 0.000 (1.288) Loss 1.4373 (1.7980) Prec@1 64.062 (59.179) Prec@5 85.156 (80.834) Epoch: [35][2700/10010] Time 1.828 (1.498) Data 1.691 (1.288) Loss 1.7800 (1.7980) Prec@1 59.375 (59.179) Prec@5 80.469 (80.833) Epoch: [35][2710/10010] Time 0.456 (1.498) Data 0.318 (1.289) Loss 1.6724 (1.7981) Prec@1 61.719 (59.172) Prec@5 82.812 (80.832) Epoch: [35][2720/10010] Time 0.493 (1.498) Data 0.353 (1.288) Loss 1.4646 (1.7977) Prec@1 63.281 (59.177) Prec@5 86.719 (80.836) Epoch: [35][2730/10010] Time 2.270 (1.499) Data 2.134 (1.289) Loss 1.8161 (1.7978) Prec@1 63.281 (59.174) Prec@5 84.375 (80.840) Epoch: [35][2740/10010] Time 0.972 (1.498) Data 0.832 (1.288) Loss 1.7997 (1.7977) Prec@1 58.594 (59.178) Prec@5 79.688 (80.838) Epoch: [35][2750/10010] Time 4.361 (1.499) Data 4.222 (1.289) Loss 1.4860 (1.7977) Prec@1 66.406 (59.185) Prec@5 82.812 (80.838) Epoch: [35][2760/10010] Time 1.350 (1.499) Data 1.212 (1.289) Loss 1.5060 (1.7977) Prec@1 60.938 (59.182) Prec@5 85.938 (80.841) Epoch: [35][2770/10010] Time 0.316 (1.499) Data 0.001 (1.289) Loss 1.9142 (1.7981) Prec@1 62.500 (59.178) Prec@5 78.906 (80.834) Epoch: [35][2780/10010] Time 4.006 (1.499) Data 3.860 (1.289) Loss 1.8368 (1.7983) Prec@1 53.906 (59.176) Prec@5 79.688 (80.827) Epoch: [35][2790/10010] Time 0.315 (1.499) Data 0.001 (1.289) Loss 1.7959 (1.7983) Prec@1 53.906 (59.175) Prec@5 81.250 (80.828) Epoch: [35][2800/10010] Time 0.315 (1.498) Data 0.016 (1.288) Loss 1.6767 (1.7984) Prec@1 53.125 (59.171) Prec@5 84.375 (80.827) Epoch: [35][2810/10010] Time 3.408 (1.498) Data 3.268 (1.289) Loss 2.3426 (1.7986) Prec@1 51.562 (59.171) Prec@5 75.781 (80.822) Epoch: [35][2820/10010] Time 3.763 (1.499) Data 3.617 (1.289) Loss 2.1315 (1.7988) Prec@1 57.812 (59.167) Prec@5 75.000 (80.817) Epoch: [35][2830/10010] Time 0.314 (1.498) Data 0.019 (1.288) Loss 1.7482 (1.7987) Prec@1 57.812 (59.171) Prec@5 82.031 (80.819) Epoch: [35][2840/10010] Time 0.467 (1.498) Data 0.327 (1.288) Loss 1.9034 (1.7991) Prec@1 58.594 (59.159) Prec@5 78.125 (80.816) Epoch: [35][2850/10010] Time 0.931 (1.498) Data 0.797 (1.289) Loss 1.8816 (1.7993) Prec@1 60.156 (59.154) Prec@5 77.344 (80.815) Epoch: [35][2860/10010] Time 3.744 (1.499) Data 3.602 (1.289) Loss 1.8645 (1.7997) Prec@1 58.594 (59.146) Prec@5 80.469 (80.812) Epoch: [35][2870/10010] Time 0.446 (1.498) Data 0.307 (1.288) Loss 1.7284 (1.7996) Prec@1 58.594 (59.145) Prec@5 82.812 (80.815) Epoch: [35][2880/10010] Time 0.317 (1.499) Data 0.000 (1.289) Loss 1.4899 (1.7994) Prec@1 62.500 (59.151) Prec@5 85.156 (80.819) Epoch: [35][2890/10010] Time 0.313 (1.498) Data 0.001 (1.289) Loss 1.8018 (1.7990) Prec@1 58.594 (59.155) Prec@5 82.031 (80.825) Epoch: [35][2900/10010] Time 3.052 (1.499) Data 2.918 (1.290) Loss 1.7162 (1.7990) Prec@1 57.031 (59.153) Prec@5 81.250 (80.826) Epoch: [35][2910/10010] Time 0.762 (1.498) Data 0.627 (1.289) Loss 1.7015 (1.7992) Prec@1 58.594 (59.152) Prec@5 82.031 (80.824) Epoch: [35][2920/10010] Time 1.301 (1.499) Data 1.169 (1.290) Loss 1.7523 (1.7996) Prec@1 58.594 (59.141) Prec@5 76.562 (80.816) Epoch: [35][2930/10010] Time 3.950 (1.499) Data 3.801 (1.290) Loss 2.1918 (1.7997) Prec@1 52.344 (59.142) Prec@5 71.094 (80.814) Epoch: [35][2940/10010] Time 1.434 (1.499) Data 1.295 (1.290) Loss 1.8436 (1.7992) Prec@1 60.938 (59.153) Prec@5 80.469 (80.820) Epoch: [35][2950/10010] Time 3.209 (1.499) Data 3.068 (1.290) Loss 1.6621 (1.7993) Prec@1 53.125 (59.144) Prec@5 84.375 (80.816) Epoch: [35][2960/10010] Time 1.369 (1.498) Data 1.230 (1.290) Loss 1.8152 (1.7996) Prec@1 64.062 (59.141) Prec@5 80.469 (80.808) Epoch: [35][2970/10010] Time 2.692 (1.498) Data 2.562 (1.290) Loss 1.5210 (1.7994) Prec@1 63.281 (59.147) Prec@5 82.812 (80.810) Epoch: [35][2980/10010] Time 0.313 (1.499) Data 0.001 (1.290) Loss 1.3431 (1.7992) Prec@1 67.969 (59.150) Prec@5 89.844 (80.815) Epoch: [35][2990/10010] Time 0.569 (1.498) Data 0.319 (1.289) Loss 1.8133 (1.7991) Prec@1 55.469 (59.151) Prec@5 79.688 (80.817) Epoch: [35][3000/10010] Time 2.905 (1.498) Data 2.768 (1.289) Loss 1.8405 (1.7990) Prec@1 59.375 (59.150) Prec@5 81.250 (80.822) Epoch: [35][3010/10010] Time 2.523 (1.498) Data 2.385 (1.290) Loss 1.6090 (1.7990) Prec@1 62.500 (59.150) Prec@5 77.344 (80.820) Epoch: [35][3020/10010] Time 0.314 (1.498) Data 0.000 (1.290) Loss 1.7345 (1.7991) Prec@1 60.938 (59.152) Prec@5 78.125 (80.817) Epoch: [35][3030/10010] Time 0.685 (1.498) Data 0.545 (1.290) Loss 1.7382 (1.7993) Prec@1 61.719 (59.152) Prec@5 81.250 (80.816) Epoch: [35][3040/10010] Time 0.313 (1.498) Data 0.000 (1.290) Loss 1.9567 (1.7990) Prec@1 61.719 (59.161) Prec@5 78.906 (80.823) Epoch: [35][3050/10010] Time 5.168 (1.499) Data 5.027 (1.290) Loss 1.5440 (1.7990) Prec@1 60.156 (59.165) Prec@5 86.719 (80.821) Epoch: [35][3060/10010] Time 0.668 (1.499) Data 0.526 (1.290) Loss 1.8181 (1.7988) Prec@1 56.250 (59.171) Prec@5 80.469 (80.823) Epoch: [35][3070/10010] Time 0.469 (1.498) Data 0.330 (1.290) Loss 1.9332 (1.7986) Prec@1 57.812 (59.172) Prec@5 78.125 (80.826) Epoch: [35][3080/10010] Time 0.644 (1.497) Data 0.508 (1.289) Loss 1.6606 (1.7989) Prec@1 60.156 (59.160) Prec@5 85.156 (80.822) Epoch: [35][3090/10010] Time 7.348 (1.500) Data 7.203 (1.291) Loss 1.7300 (1.7987) Prec@1 61.719 (59.161) Prec@5 80.469 (80.825) Epoch: [35][3100/10010] Time 0.790 (1.498) Data 0.652 (1.290) Loss 1.6154 (1.7988) Prec@1 60.938 (59.159) Prec@5 83.594 (80.826) Epoch: [35][3110/10010] Time 0.752 (1.497) Data 0.612 (1.288) Loss 1.9551 (1.7991) Prec@1 58.594 (59.158) Prec@5 75.781 (80.820) Epoch: [35][3120/10010] Time 1.747 (1.497) Data 1.611 (1.289) Loss 1.6460 (1.7991) Prec@1 61.719 (59.157) Prec@5 82.812 (80.820) Epoch: [35][3130/10010] Time 5.776 (1.498) Data 5.634 (1.289) Loss 1.6660 (1.7990) Prec@1 64.062 (59.158) Prec@5 78.906 (80.818) Epoch: [35][3140/10010] Time 0.410 (1.498) Data 0.258 (1.289) Loss 1.7186 (1.7991) Prec@1 64.062 (59.155) Prec@5 80.469 (80.815) Epoch: [35][3150/10010] Time 0.315 (1.497) Data 0.144 (1.289) Loss 2.0592 (1.7994) Prec@1 59.375 (59.150) Prec@5 76.562 (80.816) Epoch: [35][3160/10010] Time 0.584 (1.497) Data 0.446 (1.288) Loss 1.7166 (1.7994) Prec@1 60.938 (59.154) Prec@5 82.812 (80.816) Epoch: [35][3170/10010] Time 6.214 (1.498) Data 6.071 (1.289) Loss 1.4500 (1.7994) Prec@1 63.281 (59.152) Prec@5 87.500 (80.818) Epoch: [35][3180/10010] Time 0.798 (1.497) Data 0.664 (1.289) Loss 1.5802 (1.7994) Prec@1 63.281 (59.153) Prec@5 85.156 (80.817) Epoch: [35][3190/10010] Time 0.318 (1.497) Data 0.000 (1.289) Loss 1.7343 (1.7994) Prec@1 57.812 (59.151) Prec@5 83.594 (80.815) Epoch: [35][3200/10010] Time 2.115 (1.497) Data 1.977 (1.288) Loss 1.7216 (1.7993) Prec@1 65.625 (59.150) Prec@5 80.469 (80.814) Epoch: [35][3210/10010] Time 1.134 (1.496) Data 0.999 (1.288) Loss 1.8147 (1.7992) Prec@1 60.156 (59.151) Prec@5 76.562 (80.814) Epoch: [35][3220/10010] Time 1.177 (1.497) Data 1.037 (1.289) Loss 1.8345 (1.7994) Prec@1 55.469 (59.150) Prec@5 81.250 (80.813) Epoch: [35][3230/10010] Time 0.313 (1.497) Data 0.000 (1.289) Loss 1.7881 (1.7994) Prec@1 60.156 (59.151) Prec@5 75.000 (80.811) Epoch: [35][3240/10010] Time 4.462 (1.498) Data 4.321 (1.289) Loss 1.8914 (1.7993) Prec@1 56.250 (59.154) Prec@5 80.469 (80.813) Epoch: [35][3250/10010] Time 0.419 (1.497) Data 0.286 (1.289) Loss 1.9766 (1.7997) Prec@1 54.688 (59.146) Prec@5 78.125 (80.810) Epoch: [35][3260/10010] Time 1.575 (1.497) Data 1.438 (1.289) Loss 1.5969 (1.7997) Prec@1 59.375 (59.143) Prec@5 83.594 (80.813) Epoch: [35][3270/10010] Time 1.184 (1.497) Data 1.046 (1.289) Loss 1.8480 (1.7995) Prec@1 59.375 (59.145) Prec@5 79.688 (80.816) Epoch: [35][3280/10010] Time 2.852 (1.498) Data 2.715 (1.290) Loss 1.7804 (1.7994) Prec@1 57.812 (59.148) Prec@5 79.688 (80.818) Epoch: [35][3290/10010] Time 0.313 (1.497) Data 0.141 (1.290) Loss 2.0234 (1.7991) Prec@1 53.906 (59.149) Prec@5 77.344 (80.826) Epoch: [35][3300/10010] Time 2.767 (1.497) Data 2.631 (1.290) Loss 1.8245 (1.7986) Prec@1 59.375 (59.159) Prec@5 78.125 (80.835) Epoch: [35][3310/10010] Time 1.932 (1.497) Data 1.794 (1.289) Loss 2.1104 (1.7988) Prec@1 46.875 (59.150) Prec@5 78.125 (80.831) Epoch: [35][3320/10010] Time 0.314 (1.498) Data 0.073 (1.290) Loss 1.7462 (1.7990) Prec@1 60.938 (59.145) Prec@5 80.469 (80.831) Epoch: [35][3330/10010] Time 0.318 (1.497) Data 0.001 (1.289) Loss 1.8530 (1.7990) Prec@1 57.812 (59.143) Prec@5 83.594 (80.831) Epoch: [35][3340/10010] Time 0.315 (1.497) Data 0.000 (1.289) Loss 1.9171 (1.7991) Prec@1 54.688 (59.144) Prec@5 80.469 (80.830) Epoch: [35][3350/10010] Time 6.945 (1.498) Data 6.806 (1.290) Loss 1.4489 (1.7988) Prec@1 62.500 (59.147) Prec@5 85.938 (80.837) Epoch: [35][3360/10010] Time 5.370 (1.498) Data 5.232 (1.290) Loss 1.8127 (1.7987) Prec@1 59.375 (59.150) Prec@5 78.906 (80.838) Epoch: [35][3370/10010] Time 0.310 (1.497) Data 0.001 (1.289) Loss 1.9177 (1.7986) Prec@1 58.594 (59.155) Prec@5 78.906 (80.837) Epoch: [35][3380/10010] Time 0.314 (1.496) Data 0.000 (1.288) Loss 1.6137 (1.7988) Prec@1 60.938 (59.155) Prec@5 87.500 (80.838) Epoch: [35][3390/10010] Time 5.261 (1.498) Data 5.121 (1.289) Loss 1.6473 (1.7988) Prec@1 57.812 (59.150) Prec@5 83.594 (80.837) Epoch: [35][3400/10010] Time 1.573 (1.497) Data 1.437 (1.289) Loss 1.5360 (1.7990) Prec@1 62.500 (59.147) Prec@5 84.375 (80.833) Epoch: [35][3410/10010] Time 0.502 (1.497) Data 0.365 (1.289) Loss 2.1923 (1.7992) Prec@1 55.469 (59.147) Prec@5 73.438 (80.829) Epoch: [35][3420/10010] Time 0.887 (1.496) Data 0.750 (1.288) Loss 2.0911 (1.7996) Prec@1 51.562 (59.138) Prec@5 75.781 (80.824) Epoch: [35][3430/10010] Time 4.255 (1.497) Data 4.110 (1.290) Loss 1.9310 (1.7998) Prec@1 59.375 (59.136) Prec@5 75.000 (80.820) Epoch: [35][3440/10010] Time 0.316 (1.496) Data 0.000 (1.288) Loss 1.6452 (1.7995) Prec@1 61.719 (59.142) Prec@5 84.375 (80.827) Epoch: [35][3450/10010] Time 1.683 (1.497) Data 1.550 (1.289) Loss 1.8555 (1.7995) Prec@1 54.688 (59.139) Prec@5 81.250 (80.828) Epoch: [35][3460/10010] Time 1.910 (1.496) Data 1.770 (1.288) Loss 2.1896 (1.7995) Prec@1 54.688 (59.142) Prec@5 73.438 (80.827) Epoch: [35][3470/10010] Time 0.632 (1.497) Data 0.498 (1.289) Loss 1.4736 (1.7993) Prec@1 67.969 (59.149) Prec@5 84.375 (80.828) Epoch: [35][3480/10010] Time 0.314 (1.497) Data 0.001 (1.289) Loss 2.1616 (1.7998) Prec@1 50.781 (59.139) Prec@5 75.000 (80.824) Epoch: [35][3490/10010] Time 0.313 (1.496) Data 0.001 (1.288) Loss 1.9304 (1.7999) Prec@1 53.906 (59.140) Prec@5 82.812 (80.824) Epoch: [35][3500/10010] Time 3.891 (1.496) Data 3.755 (1.288) Loss 1.6417 (1.7999) Prec@1 62.500 (59.139) Prec@5 82.031 (80.826) Epoch: [35][3510/10010] Time 1.320 (1.496) Data 1.183 (1.289) Loss 1.8476 (1.7999) Prec@1 58.594 (59.138) Prec@5 82.031 (80.822) Epoch: [35][3520/10010] Time 0.313 (1.496) Data 0.001 (1.288) Loss 1.7477 (1.7999) Prec@1 61.719 (59.142) Prec@5 82.031 (80.823) Epoch: [35][3530/10010] Time 0.470 (1.496) Data 0.335 (1.288) Loss 1.5804 (1.8002) Prec@1 61.719 (59.140) Prec@5 83.594 (80.815) Epoch: [35][3540/10010] Time 3.288 (1.496) Data 3.141 (1.288) Loss 1.9152 (1.8003) Prec@1 54.688 (59.140) Prec@5 80.469 (80.814) Epoch: [35][3550/10010] Time 1.365 (1.496) Data 1.224 (1.288) Loss 1.8753 (1.8002) Prec@1 60.938 (59.142) Prec@5 82.031 (80.815) Epoch: [35][3560/10010] Time 0.313 (1.496) Data 0.001 (1.288) Loss 2.0470 (1.8003) Prec@1 53.125 (59.138) Prec@5 76.562 (80.814) Epoch: [35][3570/10010] Time 2.288 (1.496) Data 2.152 (1.288) Loss 1.5980 (1.8002) Prec@1 64.062 (59.143) Prec@5 82.812 (80.814) Epoch: [35][3580/10010] Time 0.876 (1.496) Data 0.735 (1.288) Loss 1.5714 (1.8002) Prec@1 64.844 (59.142) Prec@5 82.812 (80.813) Epoch: [35][3590/10010] Time 1.059 (1.495) Data 0.923 (1.288) Loss 1.9912 (1.8002) Prec@1 55.469 (59.146) Prec@5 78.906 (80.812) Epoch: [35][3600/10010] Time 2.636 (1.496) Data 2.499 (1.288) Loss 2.0358 (1.8005) Prec@1 60.156 (59.142) Prec@5 81.250 (80.811) Epoch: [35][3610/10010] Time 3.412 (1.496) Data 3.267 (1.289) Loss 1.8748 (1.8004) Prec@1 62.500 (59.145) Prec@5 78.906 (80.813) Epoch: [35][3620/10010] Time 0.313 (1.496) Data 0.001 (1.288) Loss 1.9615 (1.8003) Prec@1 50.781 (59.146) Prec@5 81.250 (80.814) Epoch: [35][3630/10010] Time 0.313 (1.495) Data 0.000 (1.288) Loss 2.2333 (1.8002) Prec@1 50.000 (59.144) Prec@5 78.125 (80.818) Epoch: [35][3640/10010] Time 1.247 (1.495) Data 1.108 (1.288) Loss 2.1115 (1.8001) Prec@1 49.219 (59.144) Prec@5 74.219 (80.818) Epoch: [35][3650/10010] Time 2.817 (1.496) Data 2.679 (1.288) Loss 1.8152 (1.8000) Prec@1 60.938 (59.146) Prec@5 78.906 (80.820) Epoch: [35][3660/10010] Time 0.314 (1.496) Data 0.000 (1.288) Loss 1.8737 (1.8002) Prec@1 56.250 (59.143) Prec@5 78.125 (80.816) Epoch: [35][3670/10010] Time 1.580 (1.495) Data 1.437 (1.288) Loss 1.8188 (1.8003) Prec@1 54.688 (59.143) Prec@5 79.688 (80.815) Epoch: [35][3680/10010] Time 0.321 (1.496) Data 0.001 (1.289) Loss 2.0633 (1.8003) Prec@1 53.906 (59.140) Prec@5 75.781 (80.814) Epoch: [35][3690/10010] Time 0.312 (1.495) Data 0.121 (1.288) Loss 1.9281 (1.8001) Prec@1 58.594 (59.142) Prec@5 78.125 (80.816) Epoch: [35][3700/10010] Time 1.053 (1.495) Data 0.814 (1.288) Loss 1.8999 (1.8003) Prec@1 57.812 (59.140) Prec@5 79.688 (80.814) Epoch: [35][3710/10010] Time 2.909 (1.495) Data 2.773 (1.288) Loss 1.7148 (1.8005) Prec@1 64.844 (59.138) Prec@5 82.812 (80.808) Epoch: [35][3720/10010] Time 0.311 (1.495) Data 0.000 (1.288) Loss 1.8182 (1.8006) Prec@1 60.156 (59.136) Prec@5 78.906 (80.809) Epoch: [35][3730/10010] Time 0.818 (1.495) Data 0.679 (1.288) Loss 1.7216 (1.8007) Prec@1 60.938 (59.136) Prec@5 80.469 (80.810) Epoch: [35][3740/10010] Time 0.312 (1.495) Data 0.001 (1.288) Loss 1.7766 (1.8009) Prec@1 63.281 (59.138) Prec@5 82.031 (80.806) Epoch: [35][3750/10010] Time 4.116 (1.495) Data 3.977 (1.288) Loss 1.7690 (1.8009) Prec@1 57.812 (59.130) Prec@5 84.375 (80.811) Epoch: [35][3760/10010] Time 0.311 (1.494) Data 0.001 (1.288) Loss 1.6366 (1.8008) Prec@1 62.500 (59.133) Prec@5 84.375 (80.813) Epoch: [35][3770/10010] Time 1.231 (1.494) Data 1.097 (1.288) Loss 1.8883 (1.8008) Prec@1 53.906 (59.133) Prec@5 78.125 (80.813) Epoch: [35][3780/10010] Time 1.153 (1.495) Data 1.004 (1.288) Loss 1.6671 (1.8008) Prec@1 60.156 (59.131) Prec@5 82.031 (80.813) Epoch: [35][3790/10010] Time 0.445 (1.495) Data 0.302 (1.288) Loss 1.6865 (1.8008) Prec@1 60.938 (59.132) Prec@5 83.594 (80.814) Epoch: [35][3800/10010] Time 0.319 (1.495) Data 0.001 (1.288) Loss 1.6890 (1.8006) Prec@1 57.812 (59.139) Prec@5 83.594 (80.816) Epoch: [35][3810/10010] Time 0.310 (1.494) Data 0.001 (1.287) Loss 1.7298 (1.8008) Prec@1 62.500 (59.134) Prec@5 79.688 (80.814) Epoch: [35][3820/10010] Time 3.604 (1.495) Data 3.455 (1.288) Loss 1.8949 (1.8007) Prec@1 57.812 (59.135) Prec@5 78.125 (80.818) Epoch: [35][3830/10010] Time 1.720 (1.495) Data 1.585 (1.288) Loss 1.6708 (1.8006) Prec@1 63.281 (59.134) Prec@5 81.250 (80.821) Epoch: [35][3840/10010] Time 0.312 (1.495) Data 0.000 (1.288) Loss 1.8961 (1.8004) Prec@1 61.719 (59.140) Prec@5 78.906 (80.824) Epoch: [35][3850/10010] Time 0.313 (1.494) Data 0.000 (1.287) Loss 1.7471 (1.8003) Prec@1 60.156 (59.141) Prec@5 82.812 (80.826) Epoch: [35][3860/10010] Time 3.845 (1.494) Data 3.706 (1.287) Loss 1.9826 (1.8006) Prec@1 56.250 (59.133) Prec@5 78.125 (80.825) Epoch: [35][3870/10010] Time 2.609 (1.495) Data 2.470 (1.288) Loss 1.6463 (1.8006) Prec@1 63.281 (59.135) Prec@5 81.250 (80.825) Epoch: [35][3880/10010] Time 1.096 (1.495) Data 0.955 (1.287) Loss 1.5385 (1.8008) Prec@1 61.719 (59.128) Prec@5 84.375 (80.822) Epoch: [35][3890/10010] Time 0.313 (1.495) Data 0.001 (1.288) Loss 1.7727 (1.8007) Prec@1 61.719 (59.128) Prec@5 82.812 (80.825) Epoch: [35][3900/10010] Time 2.969 (1.495) Data 2.829 (1.287) Loss 1.9001 (1.8007) Prec@1 57.031 (59.127) Prec@5 80.469 (80.826) Epoch: [35][3910/10010] Time 2.955 (1.495) Data 2.816 (1.287) Loss 2.4551 (1.8009) Prec@1 45.312 (59.126) Prec@5 69.531 (80.825) Epoch: [35][3920/10010] Time 0.670 (1.494) Data 0.532 (1.287) Loss 1.4923 (1.8008) Prec@1 65.625 (59.127) Prec@5 84.375 (80.827) Epoch: [35][3930/10010] Time 0.799 (1.494) Data 0.658 (1.287) Loss 1.8595 (1.8007) Prec@1 57.031 (59.126) Prec@5 78.906 (80.828) Epoch: [35][3940/10010] Time 0.312 (1.494) Data 0.000 (1.287) Loss 1.9205 (1.8010) Prec@1 55.469 (59.119) Prec@5 77.344 (80.821) Epoch: [35][3950/10010] Time 1.350 (1.495) Data 1.210 (1.287) Loss 1.5825 (1.8010) Prec@1 64.062 (59.120) Prec@5 82.031 (80.821) Epoch: [35][3960/10010] Time 1.164 (1.495) Data 1.021 (1.288) Loss 1.8074 (1.8010) Prec@1 61.719 (59.115) Prec@5 80.469 (80.817) Epoch: [35][3970/10010] Time 2.362 (1.495) Data 2.220 (1.287) Loss 1.6232 (1.8010) Prec@1 57.031 (59.115) Prec@5 82.812 (80.820) Epoch: [35][3980/10010] Time 0.606 (1.495) Data 0.471 (1.288) Loss 1.8324 (1.8009) Prec@1 67.969 (59.122) Prec@5 78.125 (80.823) Epoch: [35][3990/10010] Time 0.315 (1.495) Data 0.000 (1.288) Loss 1.8193 (1.8011) Prec@1 61.719 (59.116) Prec@5 82.812 (80.820) Epoch: [35][4000/10010] Time 0.406 (1.494) Data 0.268 (1.287) Loss 1.9279 (1.8011) Prec@1 60.156 (59.118) Prec@5 79.688 (80.821) Epoch: [35][4010/10010] Time 2.701 (1.495) Data 2.476 (1.288) Loss 1.8118 (1.8011) Prec@1 60.938 (59.119) Prec@5 79.688 (80.819) Epoch: [35][4020/10010] Time 0.310 (1.495) Data 0.001 (1.288) Loss 1.7561 (1.8009) Prec@1 58.594 (59.123) Prec@5 78.906 (80.822) Epoch: [35][4030/10010] Time 2.104 (1.495) Data 1.968 (1.288) Loss 1.7092 (1.8009) Prec@1 60.938 (59.126) Prec@5 81.250 (80.821) Epoch: [35][4040/10010] Time 0.309 (1.494) Data 0.000 (1.287) Loss 1.6560 (1.8009) Prec@1 59.375 (59.123) Prec@5 83.594 (80.822) Epoch: [35][4050/10010] Time 0.805 (1.494) Data 0.667 (1.287) Loss 1.8239 (1.8011) Prec@1 58.594 (59.118) Prec@5 82.031 (80.818) Epoch: [35][4060/10010] Time 0.648 (1.494) Data 0.508 (1.287) Loss 1.5141 (1.8011) Prec@1 68.750 (59.120) Prec@5 86.719 (80.819) Epoch: [35][4070/10010] Time 0.392 (1.495) Data 0.254 (1.288) Loss 1.5527 (1.8011) Prec@1 65.625 (59.117) Prec@5 85.156 (80.820) Epoch: [35][4080/10010] Time 3.169 (1.495) Data 3.029 (1.288) Loss 1.6839 (1.8012) Prec@1 59.375 (59.116) Prec@5 82.812 (80.819) Epoch: [35][4090/10010] Time 0.313 (1.494) Data 0.000 (1.287) Loss 1.8918 (1.8012) Prec@1 50.781 (59.117) Prec@5 79.688 (80.820) Epoch: [35][4100/10010] Time 0.314 (1.494) Data 0.000 (1.288) Loss 1.6435 (1.8012) Prec@1 64.062 (59.119) Prec@5 85.156 (80.819) Epoch: [35][4110/10010] Time 0.383 (1.494) Data 0.245 (1.288) Loss 2.0484 (1.8013) Prec@1 54.688 (59.115) Prec@5 78.906 (80.822) Epoch: [35][4120/10010] Time 0.313 (1.494) Data 0.000 (1.287) Loss 1.9180 (1.8011) Prec@1 56.250 (59.118) Prec@5 81.250 (80.825) Epoch: [35][4130/10010] Time 0.313 (1.494) Data 0.001 (1.287) Loss 1.7107 (1.8012) Prec@1 64.062 (59.122) Prec@5 80.469 (80.822) Epoch: [35][4140/10010] Time 0.655 (1.494) Data 0.523 (1.287) Loss 1.6717 (1.8010) Prec@1 64.062 (59.126) Prec@5 82.031 (80.821) Epoch: [35][4150/10010] Time 0.314 (1.494) Data 0.001 (1.287) Loss 1.9725 (1.8013) Prec@1 58.594 (59.121) Prec@5 78.125 (80.819) Epoch: [35][4160/10010] Time 0.313 (1.494) Data 0.000 (1.287) Loss 1.7984 (1.8013) Prec@1 58.594 (59.119) Prec@5 82.812 (80.816) Epoch: [35][4170/10010] Time 3.963 (1.494) Data 3.819 (1.287) Loss 2.2015 (1.8015) Prec@1 56.250 (59.115) Prec@5 73.438 (80.811) Epoch: [35][4180/10010] Time 1.857 (1.494) Data 1.716 (1.287) Loss 1.8029 (1.8015) Prec@1 57.031 (59.114) Prec@5 82.812 (80.815) Epoch: [35][4190/10010] Time 0.329 (1.494) Data 0.000 (1.287) Loss 1.5202 (1.8014) Prec@1 62.500 (59.118) Prec@5 83.594 (80.817) Epoch: [35][4200/10010] Time 0.942 (1.494) Data 0.801 (1.287) Loss 1.9459 (1.8014) Prec@1 56.250 (59.118) Prec@5 82.031 (80.817) Epoch: [35][4210/10010] Time 0.313 (1.493) Data 0.001 (1.286) Loss 1.7870 (1.8015) Prec@1 53.906 (59.116) Prec@5 80.469 (80.815) Epoch: [35][4220/10010] Time 4.069 (1.494) Data 3.930 (1.287) Loss 2.1854 (1.8016) Prec@1 47.656 (59.114) Prec@5 75.000 (80.814) Epoch: [35][4230/10010] Time 3.729 (1.494) Data 3.590 (1.287) Loss 1.6741 (1.8014) Prec@1 64.844 (59.117) Prec@5 81.250 (80.818) Epoch: [35][4240/10010] Time 2.711 (1.494) Data 2.577 (1.287) Loss 1.9492 (1.8017) Prec@1 58.594 (59.114) Prec@5 82.812 (80.815) Epoch: [35][4250/10010] Time 0.311 (1.494) Data 0.117 (1.287) Loss 1.6793 (1.8016) Prec@1 62.500 (59.115) Prec@5 82.812 (80.816) Epoch: [35][4260/10010] Time 0.840 (1.494) Data 0.698 (1.287) Loss 1.9540 (1.8016) Prec@1 57.812 (59.117) Prec@5 76.562 (80.816) Epoch: [35][4270/10010] Time 1.520 (1.493) Data 1.382 (1.286) Loss 2.2761 (1.8017) Prec@1 52.344 (59.113) Prec@5 71.875 (80.814) Epoch: [35][4280/10010] Time 3.424 (1.494) Data 3.283 (1.287) Loss 1.8617 (1.8016) Prec@1 57.812 (59.117) Prec@5 79.688 (80.817) Epoch: [35][4290/10010] Time 0.313 (1.493) Data 0.012 (1.286) Loss 1.6932 (1.8016) Prec@1 57.031 (59.112) Prec@5 81.250 (80.816) Epoch: [35][4300/10010] Time 4.634 (1.494) Data 4.496 (1.287) Loss 1.9622 (1.8016) Prec@1 57.031 (59.110) Prec@5 77.344 (80.814) Epoch: [35][4310/10010] Time 0.524 (1.494) Data 0.379 (1.287) Loss 1.7638 (1.8016) Prec@1 58.594 (59.106) Prec@5 82.031 (80.814) Epoch: [35][4320/10010] Time 6.223 (1.495) Data 5.978 (1.288) Loss 1.8866 (1.8019) Prec@1 57.031 (59.102) Prec@5 80.469 (80.809) Epoch: [35][4330/10010] Time 0.312 (1.494) Data 0.001 (1.287) Loss 1.7469 (1.8018) Prec@1 58.594 (59.104) Prec@5 80.469 (80.814) Epoch: [35][4340/10010] Time 0.309 (1.494) Data 0.012 (1.287) Loss 1.6265 (1.8016) Prec@1 62.500 (59.103) Prec@5 82.031 (80.816) Epoch: [35][4350/10010] Time 0.441 (1.493) Data 0.302 (1.286) Loss 1.7908 (1.8016) Prec@1 59.375 (59.104) Prec@5 78.906 (80.817) Epoch: [35][4360/10010] Time 0.934 (1.494) Data 0.793 (1.287) Loss 2.1061 (1.8017) Prec@1 56.250 (59.101) Prec@5 74.219 (80.813) Epoch: [35][4370/10010] Time 4.514 (1.495) Data 4.377 (1.288) Loss 1.6836 (1.8018) Prec@1 65.625 (59.102) Prec@5 83.594 (80.811) Epoch: [35][4380/10010] Time 0.314 (1.494) Data 0.001 (1.287) Loss 1.6473 (1.8017) Prec@1 60.156 (59.097) Prec@5 81.250 (80.812) Epoch: [35][4390/10010] Time 2.872 (1.494) Data 2.734 (1.287) Loss 1.7856 (1.8018) Prec@1 61.719 (59.094) Prec@5 81.250 (80.810) /data/vision/torralba/deepscene/lib/anaconda2/lib/python2.7/site-packages/PIL/TiffImagePlugin.py:692: UserWarning: Possibly corrupt EXIF data. Expecting to read 1835008 bytes but only got 0. Skipping tag 0 "Skipping tag %s" % (size, len(data), tag)) Epoch: [35][4400/10010] Time 0.695 (1.494) Data 0.559 (1.287) Loss 1.6704 (1.8020) Prec@1 60.156 (59.091) Prec@5 82.031 (80.807) Epoch: [35][4410/10010] Time 2.485 (1.494) Data 2.348 (1.287) Loss 1.7636 (1.8020) Prec@1 60.156 (59.088) Prec@5 80.469 (80.806) Epoch: [35][4420/10010] Time 3.544 (1.494) Data 3.405 (1.288) Loss 1.8262 (1.8019) Prec@1 56.250 (59.087) Prec@5 79.688 (80.808) Epoch: [35][4430/10010] Time 2.531 (1.494) Data 2.392 (1.288) Loss 1.7547 (1.8019) Prec@1 60.156 (59.085) Prec@5 81.250 (80.806) Epoch: [35][4440/10010] Time 0.312 (1.493) Data 0.016 (1.287) Loss 1.6821 (1.8020) Prec@1 62.500 (59.084) Prec@5 81.250 (80.805) Epoch: [35][4450/10010] Time 4.419 (1.494) Data 4.289 (1.287) Loss 1.7743 (1.8021) Prec@1 62.500 (59.087) Prec@5 82.031 (80.804) Epoch: [35][4460/10010] Time 2.921 (1.494) Data 2.785 (1.287) Loss 1.7984 (1.8021) Prec@1 59.375 (59.084) Prec@5 83.594 (80.805) Epoch: [35][4470/10010] Time 0.313 (1.493) Data 0.001 (1.287) Loss 1.6162 (1.8020) Prec@1 64.844 (59.090) Prec@5 86.719 (80.808) Epoch: [35][4480/10010] Time 0.312 (1.494) Data 0.000 (1.287) Loss 1.8301 (1.8021) Prec@1 60.938 (59.086) Prec@5 82.812 (80.806) Epoch: [35][4490/10010] Time 0.311 (1.493) Data 0.019 (1.286) Loss 1.7199 (1.8022) Prec@1 60.938 (59.086) Prec@5 80.469 (80.804) Epoch: [35][4500/10010] Time 1.402 (1.493) Data 1.264 (1.287) Loss 1.6362 (1.8020) Prec@1 58.594 (59.088) Prec@5 85.156 (80.809) Epoch: [35][4510/10010] Time 2.914 (1.493) Data 2.774 (1.287) Loss 1.9962 (1.8020) Prec@1 60.156 (59.091) Prec@5 76.562 (80.807) Epoch: [35][4520/10010] Time 1.639 (1.493) Data 1.499 (1.287) Loss 2.1422 (1.8020) Prec@1 53.125 (59.090) Prec@5 71.094 (80.805) Epoch: [35][4530/10010] Time 1.368 (1.493) Data 1.228 (1.287) Loss 1.9446 (1.8020) Prec@1 53.125 (59.090) Prec@5 78.125 (80.805) Epoch: [35][4540/10010] Time 2.067 (1.494) Data 1.928 (1.288) Loss 1.8763 (1.8022) Prec@1 55.469 (59.084) Prec@5 81.250 (80.800) Epoch: [35][4550/10010] Time 0.310 (1.493) Data 0.001 (1.287) Loss 2.1086 (1.8023) Prec@1 52.344 (59.083) Prec@5 78.125 (80.799) Epoch: [35][4560/10010] Time 0.310 (1.492) Data 0.026 (1.286) Loss 1.7929 (1.8022) Prec@1 60.156 (59.081) Prec@5 82.031 (80.800) Epoch: [35][4570/10010] Time 4.229 (1.493) Data 4.077 (1.287) Loss 1.8375 (1.8022) Prec@1 57.031 (59.079) Prec@5 80.469 (80.801) Epoch: [35][4580/10010] Time 0.336 (1.493) Data 0.191 (1.287) Loss 1.8610 (1.8021) Prec@1 54.688 (59.081) Prec@5 82.812 (80.805) Epoch: [35][4590/10010] Time 0.318 (1.493) Data 0.000 (1.287) Loss 2.2924 (1.8020) Prec@1 53.125 (59.085) Prec@5 72.656 (80.805) Epoch: [35][4600/10010] Time 0.310 (1.493) Data 0.001 (1.286) Loss 1.6916 (1.8019) Prec@1 58.594 (59.089) Prec@5 84.375 (80.806) Epoch: [35][4610/10010] Time 0.315 (1.493) Data 0.001 (1.287) Loss 2.0100 (1.8018) Prec@1 54.688 (59.089) Prec@5 72.656 (80.806) Epoch: [35][4620/10010] Time 4.961 (1.493) Data 4.823 (1.287) Loss 1.9021 (1.8019) Prec@1 55.469 (59.087) Prec@5 80.469 (80.807) Epoch: [35][4630/10010] Time 0.318 (1.494) Data 0.001 (1.288) Loss 1.5354 (1.8018) Prec@1 66.406 (59.090) Prec@5 83.594 (80.808) Epoch: [35][4640/10010] Time 1.973 (1.493) Data 1.835 (1.287) Loss 1.8598 (1.8019) Prec@1 59.375 (59.088) Prec@5 78.906 (80.808) Epoch: [35][4650/10010] Time 2.605 (1.493) Data 2.469 (1.286) Loss 1.7541 (1.8022) Prec@1 54.688 (59.081) Prec@5 81.250 (80.804) Epoch: [35][4660/10010] Time 2.420 (1.493) Data 2.280 (1.287) Loss 1.5919 (1.8021) Prec@1 64.844 (59.083) Prec@5 84.375 (80.807) Epoch: [35][4670/10010] Time 0.476 (1.493) Data 0.343 (1.287) Loss 1.7987 (1.8023) Prec@1 57.812 (59.078) Prec@5 81.250 (80.805) Epoch: [35][4680/10010] Time 0.313 (1.493) Data 0.000 (1.287) Loss 2.0165 (1.8026) Prec@1 52.344 (59.074) Prec@5 78.125 (80.800) Epoch: [35][4690/10010] Time 2.441 (1.494) Data 2.301 (1.287) Loss 1.8588 (1.8026) Prec@1 60.938 (59.073) Prec@5 82.031 (80.802) Epoch: [35][4700/10010] Time 0.313 (1.493) Data 0.000 (1.287) Loss 1.8289 (1.8027) Prec@1 60.156 (59.071) Prec@5 81.250 (80.801) Epoch: [35][4710/10010] Time 1.891 (1.493) Data 1.749 (1.287) Loss 1.9400 (1.8028) Prec@1 57.031 (59.071) Prec@5 76.562 (80.799) Epoch: [35][4720/10010] Time 0.311 (1.492) Data 0.015 (1.286) Loss 1.9029 (1.8028) Prec@1 57.812 (59.070) Prec@5 75.781 (80.799) Epoch: [35][4730/10010] Time 0.603 (1.493) Data 0.467 (1.286) Loss 1.6764 (1.8029) Prec@1 59.375 (59.068) Prec@5 83.594 (80.798) Epoch: [35][4740/10010] Time 5.941 (1.494) Data 5.805 (1.287) Loss 1.9115 (1.8032) Prec@1 58.594 (59.064) Prec@5 80.469 (80.793) Epoch: [35][4750/10010] Time 0.317 (1.493) Data 0.001 (1.287) Loss 1.5385 (1.8032) Prec@1 64.062 (59.065) Prec@5 84.375 (80.793) Epoch: [35][4760/10010] Time 0.315 (1.493) Data 0.001 (1.286) Loss 1.8686 (1.8034) Prec@1 58.594 (59.061) Prec@5 78.125 (80.791) Epoch: [35][4770/10010] Time 0.620 (1.492) Data 0.484 (1.286) Loss 1.8343 (1.8033) Prec@1 54.688 (59.062) Prec@5 79.688 (80.793) Epoch: [35][4780/10010] Time 0.312 (1.493) Data 0.000 (1.286) Loss 1.7521 (1.8034) Prec@1 62.500 (59.059) Prec@5 82.812 (80.795) Epoch: [35][4790/10010] Time 3.679 (1.493) Data 3.535 (1.287) Loss 1.6979 (1.8035) Prec@1 63.281 (59.057) Prec@5 82.812 (80.793) Epoch: [35][4800/10010] Time 0.658 (1.493) Data 0.521 (1.286) Loss 1.8449 (1.8037) Prec@1 52.344 (59.053) Prec@5 80.469 (80.792) Epoch: [35][4810/10010] Time 1.494 (1.493) Data 1.360 (1.286) Loss 1.5314 (1.8036) Prec@1 65.625 (59.056) Prec@5 82.031 (80.790) Epoch: [35][4820/10010] Time 2.426 (1.493) Data 2.287 (1.287) Loss 1.5811 (1.8036) Prec@1 64.062 (59.057) Prec@5 83.594 (80.790) Epoch: [35][4830/10010] Time 2.814 (1.493) Data 2.672 (1.287) Loss 1.8739 (1.8037) Prec@1 60.156 (59.059) Prec@5 82.031 (80.790) Epoch: [35][4840/10010] Time 0.313 (1.493) Data 0.000 (1.287) Loss 1.6052 (1.8036) Prec@1 59.375 (59.061) Prec@5 87.500 (80.791) Epoch: [35][4850/10010] Time 1.343 (1.493) Data 1.204 (1.287) Loss 1.6622 (1.8037) Prec@1 57.031 (59.062) Prec@5 82.031 (80.790) Epoch: [35][4860/10010] Time 0.315 (1.493) Data 0.001 (1.286) Loss 2.2311 (1.8037) Prec@1 53.125 (59.060) Prec@5 68.750 (80.785) Epoch: [35][4870/10010] Time 2.991 (1.493) Data 2.850 (1.287) Loss 1.7803 (1.8037) Prec@1 60.156 (59.061) Prec@5 81.250 (80.783) Epoch: [35][4880/10010] Time 1.683 (1.493) Data 1.546 (1.287) Loss 1.7567 (1.8036) Prec@1 60.938 (59.061) Prec@5 83.594 (80.784) Epoch: [35][4890/10010] Time 0.310 (1.492) Data 0.001 (1.286) Loss 1.8870 (1.8038) Prec@1 58.594 (59.055) Prec@5 78.125 (80.783) Epoch: [35][4900/10010] Time 0.323 (1.493) Data 0.183 (1.286) Loss 1.9555 (1.8038) Prec@1 60.156 (59.059) Prec@5 77.344 (80.785) Epoch: [35][4910/10010] Time 0.321 (1.493) Data 0.006 (1.287) Loss 2.0940 (1.8038) Prec@1 50.000 (59.057) Prec@5 76.562 (80.786) Epoch: [35][4920/10010] Time 0.313 (1.492) Data 0.000 (1.286) Loss 2.1178 (1.8037) Prec@1 53.125 (59.061) Prec@5 76.562 (80.787) Epoch: [35][4930/10010] Time 0.314 (1.492) Data 0.000 (1.286) Loss 1.7368 (1.8036) Prec@1 57.031 (59.062) Prec@5 86.719 (80.788) Epoch: [35][4940/10010] Time 2.163 (1.493) Data 2.027 (1.287) Loss 1.9115 (1.8037) Prec@1 59.375 (59.064) Prec@5 78.906 (80.788) Epoch: [35][4950/10010] Time 0.312 (1.492) Data 0.000 (1.286) Loss 2.1142 (1.8038) Prec@1 53.906 (59.059) Prec@5 78.906 (80.786) Epoch: [35][4960/10010] Time 0.316 (1.493) Data 0.000 (1.287) Loss 1.8334 (1.8039) Prec@1 62.500 (59.062) Prec@5 78.125 (80.783) Epoch: [35][4970/10010] Time 1.936 (1.493) Data 1.802 (1.287) Loss 1.6489 (1.8038) Prec@1 61.719 (59.064) Prec@5 85.156 (80.787) Epoch: [35][4980/10010] Time 2.133 (1.493) Data 1.994 (1.287) Loss 1.9161 (1.8038) Prec@1 57.812 (59.062) Prec@5 79.688 (80.790) Epoch: [35][4990/10010] Time 3.488 (1.493) Data 3.350 (1.287) Loss 1.4737 (1.8037) Prec@1 64.062 (59.065) Prec@5 85.938 (80.792) Epoch: [35][5000/10010] Time 0.314 (1.493) Data 0.000 (1.287) Loss 1.8223 (1.8037) Prec@1 56.250 (59.067) Prec@5 78.906 (80.793) Epoch: [35][5010/10010] Time 2.836 (1.493) Data 2.700 (1.287) Loss 1.9914 (1.8036) Prec@1 54.688 (59.067) Prec@5 75.781 (80.793) Epoch: [35][5020/10010] Time 1.895 (1.493) Data 1.758 (1.287) Loss 1.9999 (1.8036) Prec@1 58.594 (59.067) Prec@5 78.125 (80.793) Epoch: [35][5030/10010] Time 3.374 (1.493) Data 3.146 (1.287) Loss 2.0223 (1.8035) Prec@1 57.031 (59.069) Prec@5 76.562 (80.793) Epoch: [35][5040/10010] Time 0.312 (1.493) Data 0.000 (1.287) Loss 1.7978 (1.8037) Prec@1 54.688 (59.066) Prec@5 78.125 (80.790) Epoch: [35][5050/10010] Time 1.129 (1.493) Data 0.991 (1.288) Loss 2.0443 (1.8036) Prec@1 57.812 (59.069) Prec@5 79.688 (80.791) Epoch: [35][5060/10010] Time 1.772 (1.493) Data 1.633 (1.288) Loss 1.9453 (1.8036) Prec@1 57.031 (59.069) Prec@5 80.469 (80.794) Epoch: [35][5070/10010] Time 0.902 (1.494) Data 0.759 (1.288) Loss 1.8462 (1.8036) Prec@1 59.375 (59.071) Prec@5 82.031 (80.793) Epoch: [35][5080/10010] Time 0.312 (1.493) Data 0.000 (1.287) Loss 2.2092 (1.8035) Prec@1 50.000 (59.072) Prec@5 75.781 (80.793) Epoch: [35][5090/10010] Time 0.315 (1.494) Data 0.149 (1.288) Loss 1.4356 (1.8035) Prec@1 68.750 (59.072) Prec@5 89.062 (80.796) Epoch: [35][5100/10010] Time 5.500 (1.494) Data 5.364 (1.288) Loss 1.8242 (1.8035) Prec@1 57.812 (59.071) Prec@5 81.250 (80.796) Epoch: [35][5110/10010] Time 0.950 (1.494) Data 0.808 (1.288) Loss 1.7995 (1.8034) Prec@1 59.375 (59.074) Prec@5 82.031 (80.798) Epoch: [35][5120/10010] Time 0.311 (1.493) Data 0.001 (1.287) Loss 1.5146 (1.8035) Prec@1 64.844 (59.072) Prec@5 88.281 (80.799) Epoch: [35][5130/10010] Time 0.317 (1.494) Data 0.001 (1.288) Loss 1.9524 (1.8033) Prec@1 51.562 (59.074) Prec@5 79.688 (80.803) Epoch: [35][5140/10010] Time 3.336 (1.494) Data 3.194 (1.288) Loss 1.8699 (1.8033) Prec@1 58.594 (59.072) Prec@5 79.688 (80.800) Epoch: [35][5150/10010] Time 2.764 (1.494) Data 2.623 (1.288) Loss 1.7647 (1.8035) Prec@1 57.812 (59.065) Prec@5 80.469 (80.795) Epoch: [35][5160/10010] Time 6.422 (1.494) Data 6.275 (1.288) Loss 2.0002 (1.8037) Prec@1 57.812 (59.062) Prec@5 80.469 (80.794) Epoch: [35][5170/10010] Time 2.234 (1.494) Data 2.089 (1.288) Loss 1.9180 (1.8036) Prec@1 56.250 (59.064) Prec@5 79.688 (80.795) Epoch: [35][5180/10010] Time 1.134 (1.494) Data 0.998 (1.288) Loss 1.5341 (1.8035) Prec@1 68.750 (59.065) Prec@5 89.844 (80.797) Epoch: [35][5190/10010] Time 0.565 (1.494) Data 0.419 (1.288) Loss 1.8508 (1.8037) Prec@1 57.812 (59.066) Prec@5 82.031 (80.793) Epoch: [35][5200/10010] Time 4.993 (1.494) Data 4.838 (1.288) Loss 1.6970 (1.8038) Prec@1 61.719 (59.061) Prec@5 83.594 (80.791) Epoch: [35][5210/10010] Time 0.312 (1.494) Data 0.009 (1.288) Loss 1.7539 (1.8040) Prec@1 64.062 (59.059) Prec@5 80.469 (80.789) Epoch: [35][5220/10010] Time 0.312 (1.494) Data 0.001 (1.288) Loss 1.9673 (1.8039) Prec@1 56.250 (59.063) Prec@5 75.781 (80.791) Epoch: [35][5230/10010] Time 1.304 (1.494) Data 1.162 (1.288) Loss 1.9792 (1.8039) Prec@1 57.812 (59.064) Prec@5 78.125 (80.789) Epoch: [35][5240/10010] Time 1.330 (1.494) Data 1.193 (1.288) Loss 1.6973 (1.8039) Prec@1 64.844 (59.065) Prec@5 84.375 (80.791) Epoch: [35][5250/10010] Time 4.547 (1.495) Data 4.404 (1.289) Loss 1.9412 (1.8041) Prec@1 57.812 (59.060) Prec@5 82.031 (80.789) Epoch: [35][5260/10010] Time 2.893 (1.495) Data 2.755 (1.289) Loss 1.9052 (1.8041) Prec@1 57.812 (59.060) Prec@5 81.250 (80.790) Epoch: [35][5270/10010] Time 0.317 (1.495) Data 0.001 (1.289) Loss 1.7934 (1.8039) Prec@1 60.156 (59.064) Prec@5 78.906 (80.791) Epoch: [35][5280/10010] Time 0.309 (1.494) Data 0.011 (1.288) Loss 1.6109 (1.8040) Prec@1 65.625 (59.066) Prec@5 83.594 (80.788) Epoch: [35][5290/10010] Time 2.997 (1.495) Data 2.861 (1.289) Loss 1.9173 (1.8038) Prec@1 56.250 (59.067) Prec@5 78.906 (80.789) Epoch: [35][5300/10010] Time 1.463 (1.495) Data 1.323 (1.289) Loss 1.5004 (1.8035) Prec@1 64.062 (59.071) Prec@5 83.594 (80.792) Epoch: [35][5310/10010] Time 0.310 (1.495) Data 0.000 (1.289) Loss 1.7534 (1.8036) Prec@1 63.281 (59.073) Prec@5 81.250 (80.791) Epoch: [35][5320/10010] Time 0.318 (1.495) Data 0.000 (1.289) Loss 1.4786 (1.8036) Prec@1 71.875 (59.072) Prec@5 86.719 (80.792) Epoch: [35][5330/10010] Time 1.929 (1.494) Data 1.788 (1.289) Loss 1.7386 (1.8036) Prec@1 55.469 (59.072) Prec@5 82.812 (80.792) Epoch: [35][5340/10010] Time 0.329 (1.495) Data 0.084 (1.290) Loss 1.8127 (1.8035) Prec@1 54.688 (59.075) Prec@5 82.812 (80.796) Epoch: [35][5350/10010] Time 0.311 (1.495) Data 0.001 (1.289) Loss 1.7177 (1.8034) Prec@1 60.938 (59.075) Prec@5 78.906 (80.796) Epoch: [35][5360/10010] Time 0.736 (1.495) Data 0.589 (1.289) Loss 2.1533 (1.8035) Prec@1 56.250 (59.075) Prec@5 73.438 (80.794) Epoch: [35][5370/10010] Time 0.314 (1.495) Data 0.000 (1.289) Loss 1.9052 (1.8035) Prec@1 59.375 (59.074) Prec@5 79.688 (80.794) Epoch: [35][5380/10010] Time 1.205 (1.495) Data 1.065 (1.289) Loss 2.0242 (1.8034) Prec@1 54.688 (59.074) Prec@5 78.125 (80.793) Epoch: [35][5390/10010] Time 0.314 (1.495) Data 0.010 (1.289) Loss 1.8669 (1.8037) Prec@1 53.906 (59.071) Prec@5 80.469 (80.788) Epoch: [35][5400/10010] Time 2.900 (1.495) Data 2.759 (1.289) Loss 1.8455 (1.8037) Prec@1 60.938 (59.074) Prec@5 78.125 (80.786) Epoch: [35][5410/10010] Time 2.912 (1.495) Data 2.770 (1.289) Loss 1.7837 (1.8037) Prec@1 57.031 (59.073) Prec@5 82.031 (80.788) Epoch: [35][5420/10010] Time 1.217 (1.495) Data 1.071 (1.289) Loss 1.7174 (1.8037) Prec@1 60.938 (59.071) Prec@5 79.688 (80.789) Epoch: [35][5430/10010] Time 5.547 (1.496) Data 5.406 (1.290) Loss 1.9648 (1.8037) Prec@1 55.469 (59.070) Prec@5 79.688 (80.791) Epoch: [35][5440/10010] Time 4.951 (1.496) Data 4.809 (1.290) Loss 1.8244 (1.8036) Prec@1 56.250 (59.071) Prec@5 78.125 (80.794) Epoch: [35][5450/10010] Time 0.313 (1.495) Data 0.000 (1.289) Loss 1.9623 (1.8037) Prec@1 55.469 (59.068) Prec@5 78.125 (80.793) Epoch: [35][5460/10010] Time 2.453 (1.495) Data 2.317 (1.289) Loss 1.7605 (1.8039) Prec@1 60.156 (59.066) Prec@5 81.250 (80.791) Epoch: [35][5470/10010] Time 4.252 (1.496) Data 4.112 (1.290) Loss 1.8957 (1.8039) Prec@1 59.375 (59.066) Prec@5 79.688 (80.792) Epoch: [35][5480/10010] Time 1.495 (1.496) Data 1.355 (1.290) Loss 1.9066 (1.8039) Prec@1 51.562 (59.067) Prec@5 81.250 (80.791) Epoch: [35][5490/10010] Time 0.313 (1.496) Data 0.001 (1.290) Loss 1.7570 (1.8037) Prec@1 59.375 (59.072) Prec@5 77.344 (80.793) Epoch: [35][5500/10010] Time 0.316 (1.495) Data 0.178 (1.290) Loss 1.9908 (1.8038) Prec@1 55.469 (59.071) Prec@5 78.906 (80.794) Epoch: [35][5510/10010] Time 1.382 (1.496) Data 1.246 (1.290) Loss 1.6485 (1.8037) Prec@1 64.844 (59.074) Prec@5 84.375 (80.796) Epoch: [35][5520/10010] Time 0.312 (1.495) Data 0.001 (1.290) Loss 2.0668 (1.8038) Prec@1 55.469 (59.075) Prec@5 75.781 (80.794) Epoch: [35][5530/10010] Time 0.622 (1.495) Data 0.478 (1.290) Loss 2.1477 (1.8039) Prec@1 50.781 (59.075) Prec@5 73.438 (80.791) /data/vision/torralba/deepscene/lib/anaconda2/lib/python2.7/site-packages/PIL/TiffImagePlugin.py:709: UserWarning: Corrupt EXIF data. Expecting to read 4 bytes but only got 0. warnings.warn(str(msg)) Epoch: [35][5540/10010] Time 1.166 (1.495) Data 1.025 (1.289) Loss 1.6211 (1.8038) Prec@1 60.938 (59.075) Prec@5 84.375 (80.791) Epoch: [35][5550/10010] Time 5.197 (1.495) Data 5.059 (1.290) Loss 1.8483 (1.8037) Prec@1 51.562 (59.076) Prec@5 82.031 (80.793) Epoch: [35][5560/10010] Time 0.310 (1.495) Data 0.001 (1.290) Loss 2.0681 (1.8038) Prec@1 47.656 (59.074) Prec@5 79.688 (80.792) Epoch: [35][5570/10010] Time 0.366 (1.495) Data 0.223 (1.290) Loss 1.8420 (1.8039) Prec@1 59.375 (59.072) Prec@5 78.906 (80.792) Epoch: [35][5580/10010] Time 0.312 (1.495) Data 0.015 (1.289) Loss 2.0125 (1.8040) Prec@1 56.250 (59.068) Prec@5 78.906 (80.791) Epoch: [35][5590/10010] Time 3.792 (1.495) Data 3.653 (1.290) Loss 1.8706 (1.8041) Prec@1 55.469 (59.067) Prec@5 80.469 (80.793) Epoch: [35][5600/10010] Time 0.751 (1.495) Data 0.615 (1.289) Loss 1.8519 (1.8040) Prec@1 58.594 (59.068) Prec@5 83.594 (80.793) Epoch: [35][5610/10010] Time 0.767 (1.496) Data 0.630 (1.290) Loss 1.6094 (1.8041) Prec@1 63.281 (59.069) Prec@5 85.938 (80.793) Epoch: [35][5620/10010] Time 1.365 (1.495) Data 1.218 (1.289) Loss 1.8866 (1.8041) Prec@1 56.250 (59.066) Prec@5 76.562 (80.791) Epoch: [35][5630/10010] Time 5.676 (1.496) Data 5.533 (1.290) Loss 2.2181 (1.8041) Prec@1 53.906 (59.064) Prec@5 75.000 (80.789) Epoch: [35][5640/10010] Time 0.312 (1.495) Data 0.109 (1.290) Loss 2.2161 (1.8043) Prec@1 50.000 (59.061) Prec@5 76.562 (80.788) Epoch: [35][5650/10010] Time 0.911 (1.495) Data 0.671 (1.290) Loss 1.5872 (1.8042) Prec@1 64.062 (59.061) Prec@5 84.375 (80.788) Epoch: [35][5660/10010] Time 0.316 (1.495) Data 0.001 (1.289) Loss 1.8963 (1.8042) Prec@1 60.156 (59.060) Prec@5 77.344 (80.789) Epoch: [35][5670/10010] Time 5.603 (1.496) Data 5.462 (1.290) Loss 1.8687 (1.8042) Prec@1 58.594 (59.063) Prec@5 79.688 (80.790) Epoch: [35][5680/10010] Time 2.605 (1.496) Data 2.472 (1.290) Loss 1.9441 (1.8043) Prec@1 56.250 (59.061) Prec@5 75.781 (80.787) Epoch: [35][5690/10010] Time 0.316 (1.495) Data 0.000 (1.290) Loss 2.0790 (1.8043) Prec@1 53.125 (59.063) Prec@5 76.562 (80.786) Epoch: [35][5700/10010] Time 0.315 (1.495) Data 0.000 (1.289) Loss 1.9226 (1.8040) Prec@1 57.812 (59.069) Prec@5 79.688 (80.790) Epoch: [35][5710/10010] Time 10.791 (1.497) Data 10.643 (1.291) Loss 1.8904 (1.8041) Prec@1 57.812 (59.071) Prec@5 79.688 (80.790) Epoch: [35][5720/10010] Time 3.545 (1.496) Data 3.408 (1.290) Loss 1.5405 (1.8040) Prec@1 66.406 (59.074) Prec@5 85.938 (80.791) Epoch: [35][5730/10010] Time 0.320 (1.495) Data 0.001 (1.290) Loss 1.8795 (1.8041) Prec@1 55.469 (59.072) Prec@5 75.781 (80.789) Epoch: [35][5740/10010] Time 0.315 (1.495) Data 0.001 (1.289) Loss 2.0965 (1.8042) Prec@1 53.906 (59.066) Prec@5 76.562 (80.788) Epoch: [35][5750/10010] Time 4.826 (1.496) Data 4.687 (1.290) Loss 1.9770 (1.8042) Prec@1 57.812 (59.068) Prec@5 77.344 (80.788) Epoch: [35][5760/10010] Time 2.828 (1.496) Data 2.689 (1.290) Loss 2.1545 (1.8042) Prec@1 56.250 (59.067) Prec@5 75.781 (80.788) Epoch: [35][5770/10010] Time 0.312 (1.496) Data 0.000 (1.290) Loss 1.7041 (1.8042) Prec@1 62.500 (59.065) Prec@5 85.156 (80.787) Epoch: [35][5780/10010] Time 3.433 (1.496) Data 3.294 (1.290) Loss 2.0486 (1.8042) Prec@1 51.562 (59.068) Prec@5 78.906 (80.787) Epoch: [35][5790/10010] Time 1.884 (1.496) Data 1.740 (1.290) Loss 1.6923 (1.8042) Prec@1 60.938 (59.067) Prec@5 83.594 (80.787) Epoch: [35][5800/10010] Time 5.459 (1.496) Data 5.321 (1.290) Loss 1.6560 (1.8043) Prec@1 60.938 (59.065) Prec@5 87.500 (80.785) Epoch: [35][5810/10010] Time 1.509 (1.496) Data 1.371 (1.290) Loss 1.9513 (1.8044) Prec@1 58.594 (59.061) Prec@5 76.562 (80.785) Epoch: [35][5820/10010] Time 4.526 (1.496) Data 4.395 (1.290) Loss 1.7280 (1.8044) Prec@1 50.781 (59.059) Prec@5 81.250 (80.784) Epoch: [35][5830/10010] Time 0.310 (1.496) Data 0.013 (1.290) Loss 1.8093 (1.8044) Prec@1 57.812 (59.056) Prec@5 78.906 (80.784) Epoch: [35][5840/10010] Time 0.310 (1.496) Data 0.000 (1.290) Loss 1.7443 (1.8044) Prec@1 57.812 (59.055) Prec@5 80.469 (80.785) Epoch: [35][5850/10010] Time 0.325 (1.495) Data 0.186 (1.289) Loss 1.9936 (1.8046) Prec@1 53.906 (59.051) Prec@5 78.906 (80.781) Epoch: [35][5860/10010] Time 4.418 (1.496) Data 4.277 (1.290) Loss 1.5775 (1.8046) Prec@1 58.594 (59.050) Prec@5 85.156 (80.783) Epoch: [35][5870/10010] Time 2.071 (1.497) Data 1.933 (1.291) Loss 2.0053 (1.8046) Prec@1 57.812 (59.052) Prec@5 78.906 (80.784) Epoch: [35][5880/10010] Time 0.613 (1.496) Data 0.477 (1.290) Loss 1.7099 (1.8046) Prec@1 57.031 (59.051) Prec@5 81.250 (80.785) Epoch: [35][5890/10010] Time 0.311 (1.496) Data 0.001 (1.290) Loss 1.4924 (1.8046) Prec@1 64.844 (59.049) Prec@5 85.938 (80.785) Epoch: [35][5900/10010] Time 0.316 (1.496) Data 0.001 (1.290) Loss 2.0784 (1.8046) Prec@1 57.812 (59.049) Prec@5 78.125 (80.785) Epoch: [35][5910/10010] Time 2.134 (1.496) Data 1.996 (1.290) Loss 1.8803 (1.8046) Prec@1 58.594 (59.048) Prec@5 78.125 (80.783) Epoch: [35][5920/10010] Time 0.311 (1.496) Data 0.000 (1.291) Loss 1.6794 (1.8045) Prec@1 60.156 (59.049) Prec@5 85.156 (80.785) Epoch: [35][5930/10010] Time 3.667 (1.497) Data 3.528 (1.291) Loss 1.9838 (1.8046) Prec@1 55.469 (59.048) Prec@5 78.906 (80.785) Epoch: [35][5940/10010] Time 0.314 (1.497) Data 0.000 (1.291) Loss 1.8623 (1.8046) Prec@1 61.719 (59.048) Prec@5 80.469 (80.786) Epoch: [35][5950/10010] Time 1.921 (1.497) Data 1.781 (1.291) Loss 1.8388 (1.8044) Prec@1 53.906 (59.053) Prec@5 82.031 (80.789) Epoch: [35][5960/10010] Time 0.316 (1.497) Data 0.000 (1.291) Loss 1.7164 (1.8045) Prec@1 60.156 (59.051) Prec@5 81.250 (80.787) Epoch: [35][5970/10010] Time 1.125 (1.497) Data 0.988 (1.291) Loss 1.8663 (1.8044) Prec@1 54.688 (59.054) Prec@5 76.562 (80.786) Epoch: [35][5980/10010] Time 0.472 (1.497) Data 0.332 (1.291) Loss 2.1107 (1.8045) Prec@1 51.562 (59.054) Prec@5 79.688 (80.783) Epoch: [35][5990/10010] Time 0.314 (1.497) Data 0.001 (1.291) Loss 1.8897 (1.8045) Prec@1 60.938 (59.055) Prec@5 78.125 (80.783) Epoch: [35][6000/10010] Time 0.312 (1.496) Data 0.000 (1.290) Loss 1.8159 (1.8044) Prec@1 57.031 (59.059) Prec@5 82.031 (80.786) Epoch: [35][6010/10010] Time 0.448 (1.496) Data 0.314 (1.290) Loss 1.5652 (1.8044) Prec@1 61.719 (59.060) Prec@5 84.375 (80.786) Epoch: [35][6020/10010] Time 0.952 (1.497) Data 0.818 (1.291) Loss 2.0757 (1.8047) Prec@1 57.031 (59.057) Prec@5 78.125 (80.782) Epoch: [35][6030/10010] Time 0.316 (1.497) Data 0.000 (1.291) Loss 1.8871 (1.8047) Prec@1 55.469 (59.054) Prec@5 78.125 (80.780) Epoch: [35][6040/10010] Time 0.704 (1.496) Data 0.567 (1.290) Loss 1.6799 (1.8046) Prec@1 60.156 (59.055) Prec@5 85.156 (80.782) Epoch: [35][6050/10010] Time 2.210 (1.497) Data 2.070 (1.291) Loss 1.8659 (1.8048) Prec@1 57.812 (59.051) Prec@5 77.344 (80.780) Epoch: [35][6060/10010] Time 0.313 (1.497) Data 0.000 (1.290) Loss 1.8947 (1.8047) Prec@1 55.469 (59.051) Prec@5 77.344 (80.783) Epoch: [35][6070/10010] Time 4.304 (1.497) Data 4.160 (1.291) Loss 1.7618 (1.8047) Prec@1 60.938 (59.052) Prec@5 82.812 (80.786) Epoch: [35][6080/10010] Time 2.684 (1.497) Data 2.545 (1.291) Loss 1.7414 (1.8048) Prec@1 57.031 (59.048) Prec@5 81.250 (80.783) Epoch: [35][6090/10010] Time 0.312 (1.497) Data 0.001 (1.291) Loss 1.5383 (1.8050) Prec@1 63.281 (59.043) Prec@5 82.812 (80.779) Epoch: [35][6100/10010] Time 0.312 (1.497) Data 0.000 (1.291) Loss 1.7889 (1.8049) Prec@1 64.844 (59.046) Prec@5 80.469 (80.780) Epoch: [35][6110/10010] Time 0.313 (1.497) Data 0.001 (1.290) Loss 1.6592 (1.8050) Prec@1 58.594 (59.045) Prec@5 83.594 (80.779) Epoch: [35][6120/10010] Time 1.448 (1.497) Data 1.311 (1.291) Loss 1.7448 (1.8050) Prec@1 57.812 (59.045) Prec@5 80.469 (80.780) Epoch: [35][6130/10010] Time 2.191 (1.497) Data 2.051 (1.291) Loss 1.9419 (1.8049) Prec@1 56.250 (59.045) Prec@5 78.906 (80.781) Epoch: [35][6140/10010] Time 0.312 (1.497) Data 0.000 (1.291) Loss 2.0995 (1.8050) Prec@1 52.344 (59.041) Prec@5 74.219 (80.778) Epoch: [35][6150/10010] Time 1.139 (1.497) Data 0.995 (1.291) Loss 1.7479 (1.8051) Prec@1 62.500 (59.038) Prec@5 82.812 (80.778) Epoch: [35][6160/10010] Time 0.600 (1.497) Data 0.451 (1.291) Loss 1.9637 (1.8053) Prec@1 50.781 (59.034) Prec@5 80.469 (80.774) Epoch: [35][6170/10010] Time 2.849 (1.497) Data 2.711 (1.291) Loss 1.7370 (1.8053) Prec@1 57.812 (59.033) Prec@5 86.719 (80.774) Epoch: [35][6180/10010] Time 0.326 (1.497) Data 0.001 (1.291) Loss 1.9557 (1.8054) Prec@1 60.156 (59.031) Prec@5 75.000 (80.773) Epoch: [35][6190/10010] Time 4.165 (1.497) Data 4.027 (1.291) Loss 1.8668 (1.8055) Prec@1 63.281 (59.028) Prec@5 78.125 (80.772) Epoch: [35][6200/10010] Time 0.546 (1.497) Data 0.409 (1.291) Loss 2.1639 (1.8056) Prec@1 55.469 (59.025) Prec@5 74.219 (80.771) Epoch: [35][6210/10010] Time 0.312 (1.496) Data 0.000 (1.290) Loss 2.1001 (1.8056) Prec@1 49.219 (59.024) Prec@5 75.781 (80.771) Epoch: [35][6220/10010] Time 0.622 (1.497) Data 0.480 (1.291) Loss 1.8891 (1.8056) Prec@1 55.469 (59.025) Prec@5 78.125 (80.772) Epoch: [35][6230/10010] Time 4.471 (1.497) Data 4.334 (1.291) Loss 1.5126 (1.8057) Prec@1 62.500 (59.022) Prec@5 83.594 (80.768) Epoch: [35][6240/10010] Time 0.316 (1.497) Data 0.018 (1.290) Loss 2.0141 (1.8059) Prec@1 60.156 (59.021) Prec@5 75.781 (80.765) Epoch: [35][6250/10010] Time 0.313 (1.496) Data 0.098 (1.290) Loss 1.8731 (1.8060) Prec@1 56.250 (59.021) Prec@5 77.344 (80.763) Epoch: [35][6260/10010] Time 3.112 (1.496) Data 2.970 (1.290) Loss 1.6369 (1.8060) Prec@1 64.844 (59.022) Prec@5 82.031 (80.765) Epoch: [35][6270/10010] Time 5.262 (1.497) Data 5.121 (1.291) Loss 1.7194 (1.8060) Prec@1 62.500 (59.021) Prec@5 82.031 (80.764) /data/vision/torralba/deepscene/lib/anaconda2/lib/python2.7/site-packages/PIL/TiffImagePlugin.py:692: UserWarning: Possibly corrupt EXIF data. Expecting to read 2555904 bytes but only got 0. Skipping tag 0 "Skipping tag %s" % (size, len(data), tag)) Epoch: [35][6280/10010] Time 0.672 (1.497) Data 0.536 (1.290) Loss 1.8487 (1.8061) Prec@1 56.250 (59.018) Prec@5 76.562 (80.764) Epoch: [35][6290/10010] Time 0.313 (1.496) Data 0.000 (1.290) Loss 1.9717 (1.8063) Prec@1 58.594 (59.014) Prec@5 77.344 (80.760) Epoch: [35][6300/10010] Time 0.312 (1.497) Data 0.000 (1.290) Loss 1.8744 (1.8062) Prec@1 60.156 (59.017) Prec@5 78.906 (80.763) Epoch: [35][6310/10010] Time 2.752 (1.497) Data 2.610 (1.291) Loss 1.5952 (1.8061) Prec@1 60.156 (59.020) Prec@5 85.156 (80.766) Epoch: [35][6320/10010] Time 0.313 (1.497) Data 0.000 (1.290) Loss 1.8395 (1.8061) Prec@1 57.812 (59.019) Prec@5 77.344 (80.767) Epoch: [35][6330/10010] Time 1.250 (1.496) Data 1.109 (1.290) Loss 1.8013 (1.8062) Prec@1 59.375 (59.017) Prec@5 82.812 (80.766) Epoch: [35][6340/10010] Time 4.253 (1.497) Data 4.112 (1.290) Loss 1.7022 (1.8060) Prec@1 58.594 (59.021) Prec@5 85.156 (80.768) Epoch: [35][6350/10010] Time 0.312 (1.496) Data 0.000 (1.290) Loss 1.8065 (1.8060) Prec@1 56.250 (59.020) Prec@5 82.812 (80.771) Epoch: [35][6360/10010] Time 0.315 (1.496) Data 0.000 (1.290) Loss 1.7476 (1.8060) Prec@1 54.688 (59.019) Prec@5 82.031 (80.771) Epoch: [35][6370/10010] Time 0.317 (1.496) Data 0.001 (1.290) Loss 1.6894 (1.8062) Prec@1 59.375 (59.013) Prec@5 84.375 (80.765) Epoch: [35][6380/10010] Time 4.456 (1.496) Data 4.308 (1.290) Loss 1.8253 (1.8061) Prec@1 54.688 (59.017) Prec@5 77.344 (80.766) Epoch: [35][6390/10010] Time 2.318 (1.496) Data 2.181 (1.290) Loss 1.9135 (1.8061) Prec@1 58.594 (59.019) Prec@5 78.125 (80.768) Epoch: [35][6400/10010] Time 0.312 (1.497) Data 0.001 (1.291) Loss 1.7583 (1.8060) Prec@1 61.719 (59.021) Prec@5 81.250 (80.770) Epoch: [35][6410/10010] Time 0.320 (1.496) Data 0.001 (1.290) Loss 2.0667 (1.8060) Prec@1 52.344 (59.020) Prec@5 75.781 (80.770) /data/vision/torralba/deepscene/lib/anaconda2/lib/python2.7/site-packages/PIL/TiffImagePlugin.py:692: UserWarning: Possibly corrupt EXIF data. Expecting to read 19660800 bytes but only got 0. Skipping tag 0 "Skipping tag %s" % (size, len(data), tag)) /data/vision/torralba/deepscene/lib/anaconda2/lib/python2.7/site-packages/PIL/TiffImagePlugin.py:692: UserWarning: Possibly corrupt EXIF data. Expecting to read 18481152 bytes but only got 0. Skipping tag 0 "Skipping tag %s" % (size, len(data), tag)) /data/vision/torralba/deepscene/lib/anaconda2/lib/python2.7/site-packages/PIL/TiffImagePlugin.py:692: UserWarning: Possibly corrupt EXIF data. Expecting to read 37093376 bytes but only got 0. Skipping tag 0 "Skipping tag %s" % (size, len(data), tag)) /data/vision/torralba/deepscene/lib/anaconda2/lib/python2.7/site-packages/PIL/TiffImagePlugin.py:692: UserWarning: Possibly corrupt EXIF data. Expecting to read 39976960 bytes but only got 0. Skipping tag 0 "Skipping tag %s" % (size, len(data), tag)) /data/vision/torralba/deepscene/lib/anaconda2/lib/python2.7/site-packages/PIL/TiffImagePlugin.py:692: UserWarning: Possibly corrupt EXIF data. Expecting to read 34865152 bytes but only got 0. Skipping tag 0 "Skipping tag %s" % (size, len(data), tag)) /data/vision/torralba/deepscene/lib/anaconda2/lib/python2.7/site-packages/PIL/TiffImagePlugin.py:709: UserWarning: Corrupt EXIF data. Expecting to read 12 bytes but only got 10. warnings.warn(str(msg)) Epoch: [35][6420/10010] Time 4.862 (1.496) Data 4.718 (1.290) Loss 2.1276 (1.8061) Prec@1 48.438 (59.019) Prec@5 78.906 (80.770) Epoch: [35][6430/10010] Time 0.515 (1.496) Data 0.387 (1.290) Loss 2.2273 (1.8061) Prec@1 47.656 (59.017) Prec@5 70.312 (80.769) Epoch: [35][6440/10010] Time 0.311 (1.496) Data 0.119 (1.290) Loss 1.7246 (1.8060) Prec@1 59.375 (59.018) Prec@5 80.469 (80.768) Epoch: [35][6450/10010] Time 0.313 (1.496) Data 0.000 (1.290) Loss 1.7483 (1.8060) Prec@1 62.500 (59.017) Prec@5 81.250 (80.768) Epoch: [35][6460/10010] Time 0.542 (1.496) Data 0.400 (1.290) Loss 1.3770 (1.8060) Prec@1 67.188 (59.019) Prec@5 87.500 (80.771) Epoch: [35][6470/10010] Time 1.540 (1.496) Data 1.399 (1.290) Loss 1.5659 (1.8061) Prec@1 62.500 (59.017) Prec@5 86.719 (80.770) Epoch: [35][6480/10010] Time 0.835 (1.496) Data 0.693 (1.290) Loss 1.6140 (1.8061) Prec@1 64.062 (59.017) Prec@5 81.250 (80.769) Epoch: [35][6490/10010] Time 1.323 (1.496) Data 1.188 (1.290) Loss 1.7314 (1.8061) Prec@1 58.594 (59.018) Prec@5 83.594 (80.771) Epoch: [35][6500/10010] Time 3.732 (1.496) Data 3.599 (1.290) Loss 1.7326 (1.8062) Prec@1 64.062 (59.015) Prec@5 82.812 (80.768) Epoch: [35][6510/10010] Time 0.314 (1.496) Data 0.000 (1.290) Loss 2.0550 (1.8064) Prec@1 53.125 (59.010) Prec@5 79.688 (80.766) Epoch: [35][6520/10010] Time 0.311 (1.496) Data 0.013 (1.290) Loss 1.6624 (1.8063) Prec@1 62.500 (59.011) Prec@5 84.375 (80.768) Epoch: [35][6530/10010] Time 2.596 (1.496) Data 2.457 (1.290) Loss 1.9641 (1.8062) Prec@1 53.125 (59.010) Prec@5 81.250 (80.770) Epoch: [35][6540/10010] Time 0.312 (1.496) Data 0.000 (1.290) Loss 1.6539 (1.8062) Prec@1 64.062 (59.011) Prec@5 84.375 (80.772) Epoch: [35][6550/10010] Time 3.509 (1.496) Data 3.369 (1.290) Loss 2.0204 (1.8065) Prec@1 56.250 (59.007) Prec@5 77.344 (80.768) Epoch: [35][6560/10010] Time 3.629 (1.496) Data 3.493 (1.291) Loss 1.6941 (1.8065) Prec@1 57.031 (59.006) Prec@5 82.812 (80.767) Epoch: [35][6570/10010] Time 0.315 (1.496) Data 0.000 (1.290) Loss 1.4336 (1.8065) Prec@1 67.188 (59.007) Prec@5 84.375 (80.767) Epoch: [35][6580/10010] Time 0.556 (1.496) Data 0.421 (1.290) Loss 1.6896 (1.8066) Prec@1 60.156 (59.007) Prec@5 85.938 (80.767) Epoch: [35][6590/10010] Time 1.481 (1.496) Data 1.340 (1.290) Loss 2.2309 (1.8065) Prec@1 53.125 (59.008) Prec@5 73.438 (80.767) Epoch: [35][6600/10010] Time 0.312 (1.496) Data 0.001 (1.290) Loss 1.6132 (1.8063) Prec@1 64.844 (59.012) Prec@5 85.156 (80.769) Epoch: [35][6610/10010] Time 0.710 (1.496) Data 0.575 (1.290) Loss 1.6872 (1.8063) Prec@1 59.375 (59.014) Prec@5 82.812 (80.769) Epoch: [35][6620/10010] Time 1.519 (1.496) Data 1.381 (1.290) Loss 1.9558 (1.8064) Prec@1 54.688 (59.013) Prec@5 78.906 (80.767) Epoch: [35][6630/10010] Time 0.314 (1.496) Data 0.000 (1.290) Loss 1.5367 (1.8064) Prec@1 61.719 (59.012) Prec@5 86.719 (80.768) Epoch: [35][6640/10010] Time 0.634 (1.496) Data 0.494 (1.290) Loss 1.7941 (1.8064) Prec@1 59.375 (59.010) Prec@5 78.906 (80.768) Epoch: [35][6650/10010] Time 0.314 (1.495) Data 0.083 (1.290) Loss 1.7086 (1.8064) Prec@1 60.156 (59.011) Prec@5 83.594 (80.770) Epoch: [35][6660/10010] Time 0.782 (1.496) Data 0.647 (1.290) Loss 1.5757 (1.8064) Prec@1 67.969 (59.009) Prec@5 82.812 (80.770) Epoch: [35][6670/10010] Time 1.629 (1.496) Data 1.385 (1.291) Loss 1.9798 (1.8063) Prec@1 53.906 (59.009) Prec@5 77.344 (80.771) Epoch: [35][6680/10010] Time 0.317 (1.496) Data 0.001 (1.290) Loss 1.6500 (1.8064) Prec@1 60.938 (59.007) Prec@5 82.031 (80.768) Epoch: [35][6690/10010] Time 1.798 (1.495) Data 1.659 (1.290) Loss 1.7891 (1.8065) Prec@1 60.156 (59.009) Prec@5 78.906 (80.767) Epoch: [35][6700/10010] Time 6.422 (1.496) Data 6.292 (1.290) Loss 1.9698 (1.8066) Prec@1 53.906 (59.004) Prec@5 84.375 (80.765) Epoch: [35][6710/10010] Time 0.311 (1.496) Data 0.001 (1.290) Loss 1.8006 (1.8066) Prec@1 57.812 (59.004) Prec@5 82.031 (80.767) Epoch: [35][6720/10010] Time 0.313 (1.496) Data 0.001 (1.290) Loss 1.9253 (1.8067) Prec@1 55.469 (59.000) Prec@5 78.125 (80.764) Epoch: [35][6730/10010] Time 0.312 (1.495) Data 0.001 (1.289) Loss 2.0722 (1.8068) Prec@1 56.250 (59.001) Prec@5 75.000 (80.764) Epoch: [35][6740/10010] Time 0.607 (1.496) Data 0.470 (1.290) Loss 1.6970 (1.8068) Prec@1 58.594 (59.000) Prec@5 84.375 (80.763) Epoch: [35][6750/10010] Time 4.559 (1.496) Data 4.415 (1.290) Loss 1.6893 (1.8068) Prec@1 60.156 (59.001) Prec@5 82.031 (80.763) Epoch: [35][6760/10010] Time 0.944 (1.496) Data 0.805 (1.290) Loss 1.6999 (1.8069) Prec@1 55.469 (58.997) Prec@5 83.594 (80.762) Epoch: [35][6770/10010] Time 0.313 (1.495) Data 0.000 (1.290) Loss 2.0788 (1.8069) Prec@1 50.000 (58.998) Prec@5 75.000 (80.761) Epoch: [35][6780/10010] Time 1.580 (1.495) Data 1.440 (1.290) Loss 1.6942 (1.8069) Prec@1 67.188 (58.998) Prec@5 83.594 (80.761) Epoch: [35][6790/10010] Time 2.010 (1.495) Data 1.874 (1.290) Loss 2.0790 (1.8070) Prec@1 56.250 (58.996) Prec@5 76.562 (80.762) Epoch: [35][6800/10010] Time 2.024 (1.495) Data 1.892 (1.290) Loss 1.9011 (1.8070) Prec@1 57.031 (58.997) Prec@5 78.906 (80.761) Epoch: [35][6810/10010] Time 1.598 (1.495) Data 1.458 (1.290) Loss 1.7813 (1.8070) Prec@1 58.594 (58.998) Prec@5 82.031 (80.762) Epoch: [35][6820/10010] Time 0.853 (1.496) Data 0.719 (1.290) Loss 2.0391 (1.8072) Prec@1 54.688 (58.995) Prec@5 81.250 (80.759) Epoch: [35][6830/10010] Time 0.718 (1.495) Data 0.582 (1.290) Loss 1.7106 (1.8072) Prec@1 64.062 (58.995) Prec@5 79.688 (80.759) Epoch: [35][6840/10010] Time 0.634 (1.495) Data 0.491 (1.290) Loss 1.5659 (1.8072) Prec@1 57.031 (58.994) Prec@5 85.938 (80.761) Epoch: [35][6850/10010] Time 4.516 (1.496) Data 4.379 (1.290) Loss 1.9475 (1.8073) Prec@1 53.125 (58.992) Prec@5 77.344 (80.759) Epoch: [35][6860/10010] Time 2.639 (1.496) Data 2.499 (1.290) Loss 1.6372 (1.8072) Prec@1 61.719 (58.992) Prec@5 82.812 (80.758) Epoch: [35][6870/10010] Time 2.253 (1.495) Data 2.118 (1.290) Loss 1.6254 (1.8072) Prec@1 62.500 (58.992) Prec@5 85.938 (80.760) Epoch: [35][6880/10010] Time 3.512 (1.496) Data 3.366 (1.290) Loss 1.9292 (1.8072) Prec@1 54.688 (58.992) Prec@5 79.688 (80.761) Epoch: [35][6890/10010] Time 1.698 (1.495) Data 1.561 (1.290) Loss 1.8515 (1.8072) Prec@1 57.812 (58.994) Prec@5 82.812 (80.762) Epoch: [35][6900/10010] Time 2.398 (1.495) Data 2.259 (1.290) Loss 1.8625 (1.8074) Prec@1 58.594 (58.988) Prec@5 78.906 (80.758) Epoch: [35][6910/10010] Time 2.849 (1.495) Data 2.710 (1.290) Loss 1.9347 (1.8074) Prec@1 53.906 (58.988) Prec@5 79.688 (80.760) Epoch: [35][6920/10010] Time 0.306 (1.495) Data 0.023 (1.290) Loss 1.8634 (1.8075) Prec@1 56.250 (58.983) Prec@5 82.812 (80.759) Epoch: [35][6930/10010] Time 0.311 (1.495) Data 0.000 (1.289) Loss 1.8317 (1.8075) Prec@1 53.125 (58.983) Prec@5 81.250 (80.760) Epoch: [35][6940/10010] Time 2.087 (1.495) Data 1.945 (1.290) Loss 1.7886 (1.8074) Prec@1 56.250 (58.982) Prec@5 80.469 (80.760) Epoch: [35][6950/10010] Time 4.046 (1.496) Data 3.899 (1.290) Loss 1.8249 (1.8074) Prec@1 61.719 (58.982) Prec@5 83.594 (80.759) Epoch: [35][6960/10010] Time 1.192 (1.495) Data 1.049 (1.290) Loss 2.3048 (1.8076) Prec@1 55.469 (58.981) Prec@5 72.656 (80.756) Epoch: [35][6970/10010] Time 0.551 (1.495) Data 0.412 (1.289) Loss 1.9552 (1.8076) Prec@1 57.031 (58.983) Prec@5 83.594 (80.759) Epoch: [35][6980/10010] Time 7.557 (1.496) Data 7.302 (1.290) Loss 1.6986 (1.8075) Prec@1 55.469 (58.983) Prec@5 84.375 (80.759) Epoch: [35][6990/10010] Time 0.314 (1.495) Data 0.001 (1.289) Loss 2.2595 (1.8077) Prec@1 52.344 (58.982) Prec@5 70.312 (80.757) Epoch: [35][7000/10010] Time 0.314 (1.495) Data 0.009 (1.289) Loss 1.8142 (1.8075) Prec@1 60.156 (58.986) Prec@5 79.688 (80.759) Epoch: [35][7010/10010] Time 2.253 (1.495) Data 2.112 (1.289) Loss 1.9738 (1.8075) Prec@1 57.812 (58.986) Prec@5 82.812 (80.760) Epoch: [35][7020/10010] Time 1.810 (1.495) Data 1.669 (1.289) Loss 1.8578 (1.8074) Prec@1 57.812 (58.985) Prec@5 78.906 (80.763) Epoch: [35][7030/10010] Time 1.915 (1.495) Data 1.778 (1.289) Loss 1.7524 (1.8074) Prec@1 55.469 (58.985) Prec@5 80.469 (80.762) Epoch: [35][7040/10010] Time 1.281 (1.495) Data 1.141 (1.289) Loss 1.7880 (1.8074) Prec@1 56.250 (58.984) Prec@5 83.594 (80.764) Epoch: [35][7050/10010] Time 1.876 (1.495) Data 1.738 (1.289) Loss 1.5808 (1.8073) Prec@1 63.281 (58.986) Prec@5 89.062 (80.763) Epoch: [35][7060/10010] Time 3.165 (1.495) Data 3.026 (1.290) Loss 2.0629 (1.8074) Prec@1 56.250 (58.984) Prec@5 77.344 (80.762) Epoch: [35][7070/10010] Time 0.985 (1.495) Data 0.845 (1.290) Loss 1.6482 (1.8075) Prec@1 64.844 (58.983) Prec@5 82.031 (80.760) Epoch: [35][7080/10010] Time 2.069 (1.495) Data 1.936 (1.289) Loss 1.9352 (1.8076) Prec@1 56.250 (58.980) Prec@5 75.781 (80.759) Epoch: [35][7090/10010] Time 4.172 (1.495) Data 4.033 (1.290) Loss 1.6837 (1.8078) Prec@1 57.812 (58.976) Prec@5 82.031 (80.758) Epoch: [35][7100/10010] Time 3.742 (1.496) Data 3.599 (1.290) Loss 1.6168 (1.8078) Prec@1 59.375 (58.980) Prec@5 84.375 (80.758) Epoch: [35][7110/10010] Time 0.314 (1.495) Data 0.001 (1.290) Loss 1.8610 (1.8079) Prec@1 56.250 (58.978) Prec@5 78.906 (80.757) Epoch: [35][7120/10010] Time 0.401 (1.495) Data 0.265 (1.289) Loss 1.6636 (1.8078) Prec@1 59.375 (58.976) Prec@5 86.719 (80.758) Epoch: [35][7130/10010] Time 3.992 (1.495) Data 3.854 (1.290) Loss 1.9509 (1.8079) Prec@1 51.562 (58.974) Prec@5 76.562 (80.758) Epoch: [35][7140/10010] Time 1.985 (1.495) Data 1.848 (1.290) Loss 1.9970 (1.8079) Prec@1 53.906 (58.974) Prec@5 78.906 (80.759) Epoch: [35][7150/10010] Time 0.314 (1.495) Data 0.000 (1.290) Loss 1.9164 (1.8080) Prec@1 54.688 (58.974) Prec@5 77.344 (80.757) Epoch: [35][7160/10010] Time 2.752 (1.495) Data 2.612 (1.289) Loss 2.1587 (1.8080) Prec@1 50.000 (58.975) Prec@5 78.906 (80.758) Epoch: [35][7170/10010] Time 0.435 (1.495) Data 0.294 (1.290) Loss 2.1403 (1.8080) Prec@1 48.438 (58.973) Prec@5 74.219 (80.756) Epoch: [35][7180/10010] Time 0.311 (1.495) Data 0.001 (1.289) Loss 1.8023 (1.8082) Prec@1 57.031 (58.971) Prec@5 78.906 (80.753) Epoch: [35][7190/10010] Time 2.253 (1.495) Data 2.115 (1.290) Loss 1.7866 (1.8081) Prec@1 64.062 (58.971) Prec@5 84.375 (80.754) Epoch: [35][7200/10010] Time 0.314 (1.495) Data 0.000 (1.289) Loss 1.8896 (1.8082) Prec@1 57.031 (58.969) Prec@5 78.906 (80.753) Epoch: [35][7210/10010] Time 5.687 (1.495) Data 5.538 (1.290) Loss 1.9363 (1.8082) Prec@1 55.469 (58.969) Prec@5 77.344 (80.754) Epoch: [35][7220/10010] Time 0.937 (1.495) Data 0.800 (1.290) Loss 1.9246 (1.8083) Prec@1 54.688 (58.969) Prec@5 78.906 (80.754) Epoch: [35][7230/10010] Time 0.318 (1.495) Data 0.000 (1.289) Loss 2.1644 (1.8083) Prec@1 53.125 (58.969) Prec@5 76.562 (80.753) Epoch: [35][7240/10010] Time 1.698 (1.495) Data 1.563 (1.289) Loss 1.5774 (1.8083) Prec@1 65.625 (58.968) Prec@5 87.500 (80.754) Epoch: [35][7250/10010] Time 3.159 (1.495) Data 3.017 (1.289) Loss 1.8627 (1.8082) Prec@1 55.469 (58.969) Prec@5 76.562 (80.756) Epoch: [35][7260/10010] Time 0.618 (1.495) Data 0.482 (1.289) Loss 1.8702 (1.8083) Prec@1 57.812 (58.969) Prec@5 78.906 (80.754) Epoch: [35][7270/10010] Time 0.773 (1.495) Data 0.636 (1.289) Loss 2.1214 (1.8085) Prec@1 55.469 (58.964) Prec@5 78.906 (80.753) Epoch: [35][7280/10010] Time 0.311 (1.495) Data 0.000 (1.289) Loss 1.7205 (1.8084) Prec@1 62.500 (58.966) Prec@5 79.688 (80.753) Epoch: [35][7290/10010] Time 1.006 (1.495) Data 0.868 (1.289) Loss 1.5685 (1.8085) Prec@1 59.375 (58.965) Prec@5 85.156 (80.753) Epoch: [35][7300/10010] Time 0.385 (1.495) Data 0.242 (1.289) Loss 1.7414 (1.8084) Prec@1 60.938 (58.966) Prec@5 84.375 (80.753) Epoch: [35][7310/10010] Time 0.996 (1.495) Data 0.850 (1.290) Loss 1.8268 (1.8085) Prec@1 57.031 (58.965) Prec@5 78.125 (80.750) Epoch: [35][7320/10010] Time 0.312 (1.495) Data 0.001 (1.289) Loss 1.7555 (1.8085) Prec@1 58.594 (58.966) Prec@5 81.250 (80.752) Epoch: [35][7330/10010] Time 0.311 (1.494) Data 0.013 (1.289) Loss 2.0832 (1.8085) Prec@1 52.344 (58.966) Prec@5 78.125 (80.751) Epoch: [35][7340/10010] Time 0.321 (1.495) Data 0.000 (1.289) Loss 1.7776 (1.8085) Prec@1 57.031 (58.965) Prec@5 80.469 (80.751) Epoch: [35][7350/10010] Time 0.747 (1.495) Data 0.614 (1.290) Loss 1.9445 (1.8085) Prec@1 59.375 (58.963) Prec@5 78.125 (80.751) Epoch: [35][7360/10010] Time 0.872 (1.495) Data 0.734 (1.289) Loss 2.0450 (1.8085) Prec@1 50.000 (58.963) Prec@5 76.562 (80.752) Epoch: [35][7370/10010] Time 1.490 (1.495) Data 1.348 (1.289) Loss 2.0811 (1.8086) Prec@1 57.031 (58.962) Prec@5 75.781 (80.749) Epoch: [35][7380/10010] Time 2.860 (1.495) Data 2.716 (1.290) Loss 1.8810 (1.8086) Prec@1 53.906 (58.960) Prec@5 80.469 (80.748) Epoch: [35][7390/10010] Time 3.378 (1.495) Data 3.234 (1.290) Loss 2.1364 (1.8087) Prec@1 50.000 (58.958) Prec@5 72.656 (80.746) Epoch: [35][7400/10010] Time 0.313 (1.495) Data 0.000 (1.290) Loss 1.6906 (1.8087) Prec@1 63.281 (58.958) Prec@5 82.031 (80.746) Epoch: [35][7410/10010] Time 0.313 (1.495) Data 0.001 (1.290) Loss 1.8652 (1.8087) Prec@1 58.594 (58.959) Prec@5 80.469 (80.746) Epoch: [35][7420/10010] Time 0.319 (1.495) Data 0.000 (1.290) Loss 1.7411 (1.8088) Prec@1 60.156 (58.957) Prec@5 82.031 (80.744) Epoch: [35][7430/10010] Time 0.312 (1.495) Data 0.001 (1.289) Loss 2.0696 (1.8088) Prec@1 48.438 (58.958) Prec@5 78.125 (80.744) Epoch: [35][7440/10010] Time 0.307 (1.495) Data 0.012 (1.290) Loss 1.6531 (1.8088) Prec@1 60.938 (58.957) Prec@5 82.031 (80.744) Epoch: [35][7450/10010] Time 3.682 (1.495) Data 3.541 (1.290) Loss 1.9742 (1.8088) Prec@1 54.688 (58.955) Prec@5 82.812 (80.744) Epoch: [35][7460/10010] Time 0.312 (1.495) Data 0.046 (1.290) Loss 1.8098 (1.8088) Prec@1 57.812 (58.953) Prec@5 75.781 (80.745) Epoch: [35][7470/10010] Time 0.314 (1.495) Data 0.000 (1.289) Loss 1.8977 (1.8087) Prec@1 57.812 (58.953) Prec@5 78.125 (80.748) Epoch: [35][7480/10010] Time 6.344 (1.495) Data 6.205 (1.290) Loss 1.8086 (1.8087) Prec@1 61.719 (58.953) Prec@5 83.594 (80.747) Epoch: [35][7490/10010] Time 0.495 (1.495) Data 0.359 (1.290) Loss 2.0223 (1.8087) Prec@1 58.594 (58.952) Prec@5 76.562 (80.747) Epoch: [35][7500/10010] Time 0.312 (1.495) Data 0.000 (1.289) Loss 1.9758 (1.8088) Prec@1 50.000 (58.949) Prec@5 75.781 (80.745) Epoch: [35][7510/10010] Time 0.312 (1.495) Data 0.001 (1.290) Loss 1.8152 (1.8088) Prec@1 58.594 (58.950) Prec@5 80.469 (80.743) Epoch: [35][7520/10010] Time 4.746 (1.495) Data 4.608 (1.290) Loss 2.1077 (1.8089) Prec@1 53.906 (58.949) Prec@5 78.906 (80.744) Epoch: [35][7530/10010] Time 0.583 (1.495) Data 0.448 (1.290) Loss 1.5128 (1.8090) Prec@1 62.500 (58.947) Prec@5 82.812 (80.743) Epoch: [35][7540/10010] Time 3.886 (1.495) Data 3.732 (1.290) Loss 2.0668 (1.8091) Prec@1 49.219 (58.946) Prec@5 77.344 (80.741) Epoch: [35][7550/10010] Time 0.306 (1.495) Data 0.001 (1.289) Loss 1.5230 (1.8092) Prec@1 67.969 (58.944) Prec@5 85.938 (80.741) Epoch: [35][7560/10010] Time 2.036 (1.495) Data 1.899 (1.290) Loss 1.7082 (1.8093) Prec@1 57.031 (58.943) Prec@5 82.812 (80.740) Epoch: [35][7570/10010] Time 0.311 (1.495) Data 0.000 (1.290) Loss 1.8559 (1.8092) Prec@1 62.500 (58.943) Prec@5 78.125 (80.740) Epoch: [35][7580/10010] Time 2.457 (1.495) Data 2.317 (1.290) Loss 2.0040 (1.8093) Prec@1 53.125 (58.944) Prec@5 84.375 (80.741) Epoch: [35][7590/10010] Time 0.454 (1.495) Data 0.316 (1.290) Loss 1.5885 (1.8093) Prec@1 63.281 (58.943) Prec@5 85.156 (80.740) Epoch: [35][7600/10010] Time 0.316 (1.496) Data 0.000 (1.290) Loss 1.8457 (1.8093) Prec@1 53.125 (58.940) Prec@5 80.469 (80.741) Epoch: [35][7610/10010] Time 0.315 (1.495) Data 0.001 (1.290) Loss 1.8780 (1.8094) Prec@1 60.156 (58.939) Prec@5 79.688 (80.739) Epoch: [35][7620/10010] Time 0.311 (1.495) Data 0.001 (1.289) Loss 1.6498 (1.8093) Prec@1 57.031 (58.940) Prec@5 85.938 (80.741) Epoch: [35][7630/10010] Time 0.312 (1.495) Data 0.000 (1.289) Loss 1.9147 (1.8093) Prec@1 59.375 (58.939) Prec@5 73.438 (80.739) Epoch: [35][7640/10010] Time 0.326 (1.496) Data 0.000 (1.290) Loss 1.9222 (1.8095) Prec@1 55.469 (58.936) Prec@5 79.688 (80.736) Epoch: [35][7650/10010] Time 0.314 (1.495) Data 0.017 (1.290) Loss 1.7954 (1.8094) Prec@1 60.156 (58.936) Prec@5 82.031 (80.736) Epoch: [35][7660/10010] Time 0.312 (1.495) Data 0.000 (1.289) Loss 1.7176 (1.8095) Prec@1 58.594 (58.934) Prec@5 83.594 (80.735) Epoch: [35][7670/10010] Time 0.718 (1.495) Data 0.579 (1.289) Loss 1.9637 (1.8097) Prec@1 58.594 (58.935) Prec@5 78.125 (80.735) Epoch: [35][7680/10010] Time 1.020 (1.495) Data 0.881 (1.290) Loss 1.7715 (1.8097) Prec@1 60.938 (58.935) Prec@5 82.812 (80.734) Epoch: [35][7690/10010] Time 0.589 (1.495) Data 0.342 (1.289) Loss 1.7719 (1.8097) Prec@1 60.156 (58.935) Prec@5 82.812 (80.736) Epoch: [35][7700/10010] Time 0.816 (1.495) Data 0.680 (1.289) Loss 1.5706 (1.8096) Prec@1 68.750 (58.938) Prec@5 82.031 (80.736) Epoch: [35][7710/10010] Time 2.623 (1.495) Data 2.480 (1.289) Loss 1.7496 (1.8096) Prec@1 59.375 (58.936) Prec@5 82.812 (80.736) Epoch: [35][7720/10010] Time 0.312 (1.495) Data 0.000 (1.290) Loss 1.7187 (1.8096) Prec@1 64.062 (58.934) Prec@5 82.031 (80.736) Epoch: [35][7730/10010] Time 0.311 (1.495) Data 0.001 (1.289) Loss 1.7394 (1.8096) Prec@1 63.281 (58.932) Prec@5 79.688 (80.736) Epoch: [35][7740/10010] Time 0.317 (1.495) Data 0.001 (1.289) Loss 1.7639 (1.8097) Prec@1 56.250 (58.931) Prec@5 78.125 (80.735) Epoch: [35][7750/10010] Time 0.681 (1.495) Data 0.541 (1.289) Loss 1.8553 (1.8098) Prec@1 57.812 (58.929) Prec@5 77.344 (80.733) Epoch: [35][7760/10010] Time 5.848 (1.496) Data 5.708 (1.290) Loss 2.2951 (1.8100) Prec@1 50.000 (58.925) Prec@5 71.875 (80.731) Epoch: [35][7770/10010] Time 0.509 (1.495) Data 0.373 (1.289) Loss 1.9974 (1.8100) Prec@1 55.469 (58.926) Prec@5 78.906 (80.731) Epoch: [35][7780/10010] Time 0.317 (1.495) Data 0.001 (1.289) Loss 1.6542 (1.8100) Prec@1 60.938 (58.927) Prec@5 82.031 (80.730) Epoch: [35][7790/10010] Time 5.147 (1.495) Data 5.004 (1.289) Loss 1.7880 (1.8101) Prec@1 59.375 (58.926) Prec@5 82.031 (80.729) Epoch: [35][7800/10010] Time 1.536 (1.495) Data 1.399 (1.289) Loss 1.6680 (1.8101) Prec@1 60.938 (58.926) Prec@5 85.938 (80.729) Epoch: [35][7810/10010] Time 2.010 (1.495) Data 1.871 (1.289) Loss 2.0186 (1.8100) Prec@1 59.375 (58.927) Prec@5 73.438 (80.732) Epoch: [35][7820/10010] Time 0.410 (1.495) Data 0.271 (1.289) Loss 1.9021 (1.8100) Prec@1 62.500 (58.928) Prec@5 80.469 (80.731) Epoch: [35][7830/10010] Time 0.654 (1.495) Data 0.515 (1.289) Loss 1.6459 (1.8100) Prec@1 59.375 (58.929) Prec@5 84.375 (80.731) Epoch: [35][7840/10010] Time 0.759 (1.495) Data 0.621 (1.289) Loss 1.7154 (1.8101) Prec@1 58.594 (58.928) Prec@5 83.594 (80.732) Epoch: [35][7850/10010] Time 0.313 (1.495) Data 0.013 (1.289) Loss 1.7431 (1.8101) Prec@1 61.719 (58.927) Prec@5 78.125 (80.731) Epoch: [35][7860/10010] Time 1.520 (1.495) Data 1.378 (1.289) Loss 1.7932 (1.8101) Prec@1 54.688 (58.927) Prec@5 77.344 (80.731) Epoch: [35][7870/10010] Time 0.318 (1.495) Data 0.014 (1.289) Loss 1.8934 (1.8102) Prec@1 60.156 (58.924) Prec@5 79.688 (80.730) Epoch: [35][7880/10010] Time 0.319 (1.495) Data 0.185 (1.289) Loss 1.5870 (1.8103) Prec@1 60.156 (58.924) Prec@5 83.594 (80.727) Epoch: [35][7890/10010] Time 0.318 (1.495) Data 0.001 (1.289) Loss 1.6899 (1.8104) Prec@1 66.406 (58.921) Prec@5 82.031 (80.725) Epoch: [35][7900/10010] Time 3.104 (1.495) Data 2.964 (1.289) Loss 1.8365 (1.8105) Prec@1 58.594 (58.919) Prec@5 79.688 (80.725) Epoch: [35][7910/10010] Time 0.313 (1.495) Data 0.000 (1.289) Loss 1.8185 (1.8106) Prec@1 60.156 (58.917) Prec@5 78.125 (80.723) Epoch: [35][7920/10010] Time 0.316 (1.495) Data 0.000 (1.289) Loss 1.8947 (1.8106) Prec@1 56.250 (58.915) Prec@5 80.469 (80.721) Epoch: [35][7930/10010] Time 0.312 (1.495) Data 0.000 (1.289) Loss 2.1004 (1.8109) Prec@1 57.031 (58.913) Prec@5 75.000 (80.717) Epoch: [35][7940/10010] Time 2.956 (1.495) Data 2.823 (1.289) Loss 1.9381 (1.8109) Prec@1 55.469 (58.916) Prec@5 78.906 (80.717) Epoch: [35][7950/10010] Time 0.564 (1.495) Data 0.424 (1.289) Loss 1.7903 (1.8108) Prec@1 60.156 (58.917) Prec@5 82.031 (80.717) Epoch: [35][7960/10010] Time 0.356 (1.495) Data 0.218 (1.289) Loss 2.0451 (1.8109) Prec@1 54.688 (58.917) Prec@5 76.562 (80.716) Epoch: [35][7970/10010] Time 1.775 (1.495) Data 1.636 (1.289) Loss 1.7090 (1.8110) Prec@1 62.500 (58.914) Prec@5 77.344 (80.713) Epoch: [35][7980/10010] Time 0.935 (1.495) Data 0.797 (1.289) Loss 1.9928 (1.8110) Prec@1 57.031 (58.914) Prec@5 82.031 (80.713) Epoch: [35][7990/10010] Time 3.436 (1.495) Data 3.298 (1.289) Loss 1.4788 (1.8110) Prec@1 64.844 (58.915) Prec@5 88.281 (80.714) Epoch: [35][8000/10010] Time 0.565 (1.495) Data 0.351 (1.289) Loss 2.0536 (1.8110) Prec@1 58.594 (58.915) Prec@5 76.562 (80.714) Epoch: [35][8010/10010] Time 0.730 (1.495) Data 0.593 (1.289) Loss 1.6626 (1.8111) Prec@1 60.938 (58.915) Prec@5 86.719 (80.714) Epoch: [35][8020/10010] Time 4.369 (1.495) Data 4.227 (1.289) Loss 1.5505 (1.8111) Prec@1 66.406 (58.913) Prec@5 85.156 (80.714) Epoch: [35][8030/10010] Time 1.100 (1.495) Data 0.961 (1.289) Loss 1.9410 (1.8111) Prec@1 55.469 (58.914) Prec@5 78.125 (80.714) Epoch: [35][8040/10010] Time 3.981 (1.495) Data 3.841 (1.289) Loss 1.8148 (1.8110) Prec@1 54.688 (58.916) Prec@5 78.906 (80.715) Epoch: [35][8050/10010] Time 0.313 (1.495) Data 0.001 (1.289) Loss 1.6557 (1.8110) Prec@1 57.031 (58.915) Prec@5 82.031 (80.715) Epoch: [35][8060/10010] Time 0.756 (1.495) Data 0.616 (1.289) Loss 1.8759 (1.8110) Prec@1 55.469 (58.914) Prec@5 76.562 (80.714) Epoch: [35][8070/10010] Time 3.836 (1.495) Data 3.695 (1.289) Loss 2.0021 (1.8110) Prec@1 56.250 (58.915) Prec@5 77.344 (80.714) Epoch: [35][8080/10010] Time 1.874 (1.495) Data 1.733 (1.289) Loss 2.0173 (1.8110) Prec@1 50.000 (58.915) Prec@5 74.219 (80.713) Epoch: [35][8090/10010] Time 0.319 (1.495) Data 0.001 (1.289) Loss 1.8610 (1.8111) Prec@1 56.250 (58.913) Prec@5 79.688 (80.712) Epoch: [35][8100/10010] Time 0.399 (1.494) Data 0.263 (1.289) Loss 1.4750 (1.8110) Prec@1 64.844 (58.915) Prec@5 85.938 (80.713) Epoch: [35][8110/10010] Time 6.436 (1.495) Data 6.298 (1.289) Loss 1.9040 (1.8111) Prec@1 57.031 (58.913) Prec@5 79.688 (80.712) Epoch: [35][8120/10010] Time 2.555 (1.496) Data 2.408 (1.290) Loss 2.0342 (1.8112) Prec@1 57.031 (58.911) Prec@5 76.562 (80.710) Epoch: [35][8130/10010] Time 0.314 (1.495) Data 0.001 (1.289) Loss 1.5157 (1.8111) Prec@1 62.500 (58.911) Prec@5 84.375 (80.710) Epoch: [35][8140/10010] Time 0.313 (1.495) Data 0.001 (1.289) Loss 1.9710 (1.8111) Prec@1 55.469 (58.911) Prec@5 80.469 (80.710) Epoch: [35][8150/10010] Time 3.845 (1.495) Data 3.702 (1.289) Loss 1.7873 (1.8111) Prec@1 58.594 (58.913) Prec@5 80.469 (80.710) Epoch: [35][8160/10010] Time 4.617 (1.496) Data 4.478 (1.290) Loss 1.8653 (1.8110) Prec@1 58.594 (58.914) Prec@5 78.125 (80.713) Epoch: [35][8170/10010] Time 0.313 (1.495) Data 0.000 (1.289) Loss 2.0839 (1.8110) Prec@1 53.125 (58.915) Prec@5 76.562 (80.713) Epoch: [35][8180/10010] Time 0.311 (1.495) Data 0.001 (1.289) Loss 2.0526 (1.8110) Prec@1 57.031 (58.913) Prec@5 76.562 (80.712) Epoch: [35][8190/10010] Time 6.146 (1.495) Data 5.999 (1.289) Loss 1.9030 (1.8110) Prec@1 53.125 (58.916) Prec@5 79.688 (80.713) Epoch: [35][8200/10010] Time 2.874 (1.496) Data 2.737 (1.289) Loss 1.7763 (1.8110) Prec@1 57.031 (58.916) Prec@5 78.906 (80.713) Epoch: [35][8210/10010] Time 0.316 (1.495) Data 0.123 (1.289) Loss 2.1463 (1.8110) Prec@1 49.219 (58.915) Prec@5 75.781 (80.715) Epoch: [35][8220/10010] Time 0.315 (1.495) Data 0.001 (1.289) Loss 1.9799 (1.8111) Prec@1 56.250 (58.914) Prec@5 77.344 (80.713) Epoch: [35][8230/10010] Time 2.052 (1.495) Data 1.917 (1.289) Loss 1.6450 (1.8111) Prec@1 59.375 (58.914) Prec@5 82.812 (80.712) Epoch: [35][8240/10010] Time 1.016 (1.495) Data 0.874 (1.289) Loss 1.7766 (1.8112) Prec@1 60.938 (58.910) Prec@5 82.031 (80.711) Epoch: [35][8250/10010] Time 0.786 (1.495) Data 0.647 (1.289) Loss 1.9938 (1.8113) Prec@1 60.156 (58.909) Prec@5 75.781 (80.711) Epoch: [35][8260/10010] Time 0.316 (1.495) Data 0.016 (1.289) Loss 1.5509 (1.8111) Prec@1 63.281 (58.911) Prec@5 82.031 (80.713) /data/vision/torralba/deepscene/lib/anaconda2/lib/python2.7/site-packages/PIL/TiffImagePlugin.py:692: UserWarning: Possibly corrupt EXIF data. Expecting to read 2555904 bytes but only got 0. Skipping tag 0 "Skipping tag %s" % (size, len(data), tag)) Epoch: [35][8270/10010] Time 2.035 (1.495) Data 1.899 (1.289) Loss 1.5267 (1.8110) Prec@1 65.625 (58.914) Prec@5 84.375 (80.713) Epoch: [35][8280/10010] Time 0.311 (1.496) Data 0.001 (1.289) Loss 1.6040 (1.8110) Prec@1 63.281 (58.914) Prec@5 80.469 (80.712) Epoch: [35][8290/10010] Time 1.071 (1.495) Data 0.931 (1.289) Loss 2.0069 (1.8111) Prec@1 61.719 (58.913) Prec@5 77.344 (80.711) Epoch: [35][8300/10010] Time 5.663 (1.495) Data 5.527 (1.289) Loss 1.8110 (1.8111) Prec@1 55.469 (58.911) Prec@5 81.250 (80.711) Epoch: [35][8310/10010] Time 0.948 (1.495) Data 0.711 (1.289) Loss 1.8687 (1.8112) Prec@1 60.938 (58.911) Prec@5 80.469 (80.710) Epoch: [35][8320/10010] Time 4.013 (1.495) Data 3.868 (1.289) Loss 1.8715 (1.8112) Prec@1 60.938 (58.910) Prec@5 75.781 (80.710) Epoch: [35][8330/10010] Time 0.311 (1.495) Data 0.001 (1.289) Loss 1.9138 (1.8112) Prec@1 53.906 (58.910) Prec@5 80.469 (80.709) Epoch: [35][8340/10010] Time 1.573 (1.495) Data 1.435 (1.289) Loss 2.0112 (1.8112) Prec@1 53.906 (58.906) Prec@5 77.344 (80.709) Epoch: [35][8350/10010] Time 0.313 (1.495) Data 0.000 (1.289) Loss 1.8446 (1.8112) Prec@1 58.594 (58.907) Prec@5 81.250 (80.709) Epoch: [35][8360/10010] Time 0.386 (1.495) Data 0.246 (1.289) Loss 1.8972 (1.8113) Prec@1 62.500 (58.907) Prec@5 79.688 (80.706) Epoch: [35][8370/10010] Time 0.311 (1.495) Data 0.163 (1.289) Loss 1.8995 (1.8113) Prec@1 56.250 (58.906) Prec@5 78.906 (80.705) Epoch: [35][8380/10010] Time 0.314 (1.495) Data 0.078 (1.289) Loss 1.7188 (1.8114) Prec@1 60.938 (58.905) Prec@5 83.594 (80.705) Epoch: [35][8390/10010] Time 0.322 (1.495) Data 0.001 (1.289) Loss 1.3592 (1.8112) Prec@1 67.188 (58.906) Prec@5 91.406 (80.707) Epoch: [35][8400/10010] Time 0.577 (1.495) Data 0.438 (1.289) Loss 1.6420 (1.8111) Prec@1 61.719 (58.908) Prec@5 82.812 (80.708) Epoch: [35][8410/10010] Time 3.019 (1.495) Data 2.883 (1.289) Loss 1.8109 (1.8111) Prec@1 57.812 (58.909) Prec@5 81.250 (80.708) Epoch: [35][8420/10010] Time 1.557 (1.495) Data 1.416 (1.289) Loss 1.7620 (1.8111) Prec@1 58.594 (58.910) Prec@5 82.031 (80.709) Epoch: [35][8430/10010] Time 2.805 (1.495) Data 2.670 (1.289) Loss 1.8479 (1.8112) Prec@1 59.375 (58.909) Prec@5 79.688 (80.709) Epoch: [35][8440/10010] Time 0.315 (1.495) Data 0.012 (1.289) Loss 1.7234 (1.8111) Prec@1 59.375 (58.911) Prec@5 85.938 (80.709) Epoch: [35][8450/10010] Time 0.661 (1.495) Data 0.521 (1.289) Loss 1.5317 (1.8111) Prec@1 60.156 (58.913) Prec@5 87.500 (80.710) Epoch: [35][8460/10010] Time 5.008 (1.495) Data 4.867 (1.289) Loss 1.5727 (1.8112) Prec@1 64.844 (58.911) Prec@5 84.375 (80.709) Epoch: [35][8470/10010] Time 0.311 (1.495) Data 0.001 (1.289) Loss 1.8194 (1.8112) Prec@1 62.500 (58.912) Prec@5 80.469 (80.709) Epoch: [35][8480/10010] Time 4.144 (1.495) Data 4.006 (1.289) Loss 2.0031 (1.8112) Prec@1 57.812 (58.911) Prec@5 77.344 (80.709) Epoch: [35][8490/10010] Time 0.311 (1.495) Data 0.001 (1.289) Loss 1.8885 (1.8113) Prec@1 57.812 (58.910) Prec@5 77.344 (80.708) Epoch: [35][8500/10010] Time 1.523 (1.495) Data 1.381 (1.289) Loss 1.5979 (1.8112) Prec@1 64.844 (58.912) Prec@5 84.375 (80.709) Epoch: [35][8510/10010] Time 4.385 (1.495) Data 4.247 (1.289) Loss 1.8873 (1.8113) Prec@1 57.031 (58.908) Prec@5 80.469 (80.708) Epoch: [35][8520/10010] Time 2.388 (1.495) Data 2.246 (1.289) Loss 1.6809 (1.8114) Prec@1 61.719 (58.908) Prec@5 83.594 (80.706) Epoch: [35][8530/10010] Time 4.698 (1.495) Data 4.559 (1.289) Loss 1.6911 (1.8113) Prec@1 64.062 (58.910) Prec@5 81.250 (80.705) Epoch: [35][8540/10010] Time 0.313 (1.495) Data 0.001 (1.289) Loss 1.8072 (1.8114) Prec@1 57.812 (58.908) Prec@5 78.125 (80.705) Epoch: [35][8550/10010] Time 0.377 (1.495) Data 0.237 (1.289) Loss 2.0359 (1.8114) Prec@1 57.812 (58.907) Prec@5 71.094 (80.704) Epoch: [35][8560/10010] Time 1.675 (1.495) Data 1.535 (1.289) Loss 1.5792 (1.8113) Prec@1 65.625 (58.907) Prec@5 83.594 (80.706) Epoch: [35][8570/10010] Time 2.729 (1.495) Data 2.591 (1.289) Loss 1.6414 (1.8114) Prec@1 58.594 (58.907) Prec@5 83.594 (80.705) Epoch: [35][8580/10010] Time 0.624 (1.495) Data 0.484 (1.289) Loss 1.9929 (1.8115) Prec@1 52.344 (58.904) Prec@5 78.906 (80.705) Epoch: [35][8590/10010] Time 0.312 (1.495) Data 0.001 (1.289) Loss 1.4648 (1.8115) Prec@1 63.281 (58.904) Prec@5 87.500 (80.705) Epoch: [35][8600/10010] Time 1.727 (1.494) Data 1.589 (1.288) Loss 1.7915 (1.8116) Prec@1 57.031 (58.904) Prec@5 78.125 (80.703) Epoch: [35][8610/10010] Time 3.820 (1.495) Data 3.679 (1.289) Loss 1.9445 (1.8117) Prec@1 55.469 (58.902) Prec@5 78.125 (80.703) Epoch: [35][8620/10010] Time 2.460 (1.495) Data 2.318 (1.289) Loss 1.4644 (1.8116) Prec@1 64.844 (58.903) Prec@5 86.719 (80.704) Epoch: [35][8630/10010] Time 0.312 (1.495) Data 0.009 (1.289) Loss 2.0286 (1.8115) Prec@1 51.562 (58.902) Prec@5 79.688 (80.706) Epoch: [35][8640/10010] Time 0.647 (1.495) Data 0.508 (1.289) Loss 2.1843 (1.8115) Prec@1 54.688 (58.903) Prec@5 76.562 (80.706) Epoch: [35][8650/10010] Time 0.704 (1.494) Data 0.566 (1.288) Loss 2.0727 (1.8115) Prec@1 55.469 (58.904) Prec@5 76.562 (80.707) Epoch: [35][8660/10010] Time 4.143 (1.495) Data 3.993 (1.289) Loss 1.6781 (1.8115) Prec@1 64.844 (58.902) Prec@5 83.594 (80.707) Epoch: [35][8670/10010] Time 1.206 (1.495) Data 1.066 (1.289) Loss 1.9433 (1.8115) Prec@1 60.938 (58.902) Prec@5 82.812 (80.708) Epoch: [35][8680/10010] Time 0.318 (1.494) Data 0.001 (1.288) Loss 1.7193 (1.8115) Prec@1 60.156 (58.900) Prec@5 79.688 (80.707) Epoch: [35][8690/10010] Time 0.446 (1.494) Data 0.299 (1.288) Loss 1.8324 (1.8114) Prec@1 58.594 (58.901) Prec@5 78.906 (80.708) Epoch: [35][8700/10010] Time 0.310 (1.495) Data 0.001 (1.289) Loss 1.9042 (1.8115) Prec@1 57.031 (58.899) Prec@5 78.125 (80.707) Epoch: [35][8710/10010] Time 1.729 (1.494) Data 1.591 (1.289) Loss 1.6968 (1.8115) Prec@1 67.188 (58.901) Prec@5 82.031 (80.707) Epoch: [35][8720/10010] Time 3.147 (1.494) Data 3.007 (1.289) Loss 1.7176 (1.8114) Prec@1 60.938 (58.901) Prec@5 82.031 (80.707) Epoch: [35][8730/10010] Time 1.247 (1.495) Data 1.112 (1.289) Loss 2.2426 (1.8115) Prec@1 53.125 (58.899) Prec@5 74.219 (80.705) Epoch: [35][8740/10010] Time 1.410 (1.495) Data 1.269 (1.289) Loss 1.8452 (1.8115) Prec@1 57.031 (58.900) Prec@5 76.562 (80.703) Epoch: [35][8750/10010] Time 1.322 (1.495) Data 1.182 (1.289) Loss 1.6239 (1.8116) Prec@1 65.625 (58.900) Prec@5 83.594 (80.703) Epoch: [35][8760/10010] Time 2.720 (1.495) Data 2.580 (1.289) Loss 2.0862 (1.8117) Prec@1 54.688 (58.897) Prec@5 78.906 (80.701) Epoch: [35][8770/10010] Time 0.891 (1.495) Data 0.750 (1.289) Loss 1.9136 (1.8117) Prec@1 58.594 (58.899) Prec@5 78.125 (80.703) Epoch: [35][8780/10010] Time 1.263 (1.495) Data 1.125 (1.289) Loss 1.8509 (1.8118) Prec@1 57.812 (58.895) Prec@5 81.250 (80.700) Epoch: [35][8790/10010] Time 0.349 (1.495) Data 0.214 (1.289) Loss 1.6316 (1.8119) Prec@1 63.281 (58.895) Prec@5 82.031 (80.698) Epoch: [35][8800/10010] Time 0.314 (1.495) Data 0.000 (1.289) Loss 2.2288 (1.8120) Prec@1 53.906 (58.895) Prec@5 75.781 (80.695) Epoch: [35][8810/10010] Time 2.436 (1.495) Data 2.300 (1.289) Loss 1.6160 (1.8121) Prec@1 62.500 (58.891) Prec@5 85.156 (80.694) Epoch: [35][8820/10010] Time 2.364 (1.495) Data 2.234 (1.289) Loss 1.7862 (1.8123) Prec@1 61.719 (58.889) Prec@5 78.125 (80.691) Epoch: [35][8830/10010] Time 1.060 (1.495) Data 0.924 (1.289) Loss 2.0600 (1.8123) Prec@1 50.781 (58.890) Prec@5 79.688 (80.692) Epoch: [35][8840/10010] Time 4.127 (1.495) Data 3.992 (1.289) Loss 1.7036 (1.8122) Prec@1 60.156 (58.891) Prec@5 82.812 (80.693) Epoch: [35][8850/10010] Time 0.424 (1.495) Data 0.282 (1.289) Loss 1.5524 (1.8122) Prec@1 66.406 (58.891) Prec@5 85.156 (80.692) Epoch: [35][8860/10010] Time 4.266 (1.495) Data 4.125 (1.289) Loss 1.9670 (1.8123) Prec@1 53.906 (58.890) Prec@5 75.781 (80.691) Epoch: [35][8870/10010] Time 1.653 (1.495) Data 1.513 (1.289) Loss 1.5924 (1.8123) Prec@1 62.500 (58.891) Prec@5 85.938 (80.691) Epoch: [35][8880/10010] Time 0.334 (1.494) Data 0.189 (1.289) Loss 1.6428 (1.8122) Prec@1 61.719 (58.894) Prec@5 87.500 (80.692) Epoch: [35][8890/10010] Time 0.312 (1.495) Data 0.000 (1.289) Loss 1.4121 (1.8121) Prec@1 70.312 (58.895) Prec@5 86.719 (80.693) /data/vision/torralba/deepscene/lib/anaconda2/lib/python2.7/site-packages/PIL/TiffImagePlugin.py:692: UserWarning: Possibly corrupt EXIF data. Expecting to read 2555904 bytes but only got 0. Skipping tag 0 "Skipping tag %s" % (size, len(data), tag)) Epoch: [35][8900/10010] Time 1.126 (1.494) Data 0.989 (1.289) Loss 1.8812 (1.8121) Prec@1 60.156 (58.894) Prec@5 78.906 (80.691) Epoch: [35][8910/10010] Time 3.989 (1.495) Data 3.852 (1.289) Loss 1.8429 (1.8122) Prec@1 59.375 (58.894) Prec@5 79.688 (80.690) Epoch: [35][8920/10010] Time 0.313 (1.495) Data 0.001 (1.289) Loss 1.6377 (1.8122) Prec@1 61.719 (58.893) Prec@5 88.281 (80.691) Epoch: [35][8930/10010] Time 2.399 (1.495) Data 2.253 (1.289) Loss 1.7493 (1.8122) Prec@1 57.031 (58.892) Prec@5 80.469 (80.690) Epoch: [35][8940/10010] Time 0.320 (1.494) Data 0.016 (1.289) Loss 1.7660 (1.8122) Prec@1 57.812 (58.892) Prec@5 79.688 (80.690) Epoch: [35][8950/10010] Time 4.185 (1.495) Data 4.047 (1.289) Loss 1.7185 (1.8122) Prec@1 63.281 (58.891) Prec@5 82.031 (80.690) Epoch: [35][8960/10010] Time 0.311 (1.494) Data 0.016 (1.289) Loss 1.7967 (1.8123) Prec@1 54.688 (58.887) Prec@5 77.344 (80.687) Epoch: [35][8970/10010] Time 1.050 (1.494) Data 0.911 (1.289) Loss 1.8576 (1.8123) Prec@1 64.844 (58.889) Prec@5 81.250 (80.688) Epoch: [35][8980/10010] Time 0.314 (1.494) Data 0.085 (1.289) Loss 1.9437 (1.8123) Prec@1 50.781 (58.889) Prec@5 78.125 (80.688) Epoch: [35][8990/10010] Time 0.573 (1.494) Data 0.435 (1.289) Loss 1.9948 (1.8122) Prec@1 56.250 (58.889) Prec@5 78.125 (80.689) Epoch: [35][9000/10010] Time 1.022 (1.494) Data 0.882 (1.289) Loss 1.8675 (1.8122) Prec@1 53.906 (58.888) Prec@5 81.250 (80.688) Epoch: [35][9010/10010] Time 0.320 (1.494) Data 0.181 (1.289) Loss 2.1872 (1.8122) Prec@1 50.781 (58.888) Prec@5 76.562 (80.688) Epoch: [35][9020/10010] Time 1.508 (1.494) Data 1.271 (1.289) Loss 2.0838 (1.8122) Prec@1 53.906 (58.890) Prec@5 75.781 (80.690) Epoch: [35][9030/10010] Time 0.313 (1.494) Data 0.000 (1.289) Loss 1.8818 (1.8122) Prec@1 60.938 (58.891) Prec@5 78.125 (80.689) Epoch: [35][9040/10010] Time 2.723 (1.494) Data 2.584 (1.289) Loss 1.3449 (1.8121) Prec@1 71.875 (58.892) Prec@5 86.719 (80.688) Epoch: [35][9050/10010] Time 0.310 (1.494) Data 0.009 (1.289) Loss 1.8147 (1.8121) Prec@1 57.031 (58.890) Prec@5 82.031 (80.688) Epoch: [35][9060/10010] Time 3.028 (1.494) Data 2.892 (1.289) Loss 1.6601 (1.8120) Prec@1 58.594 (58.892) Prec@5 82.812 (80.689) Epoch: [35][9070/10010] Time 1.779 (1.494) Data 1.637 (1.289) Loss 1.8042 (1.8121) Prec@1 60.938 (58.892) Prec@5 76.562 (80.689) Epoch: [35][9080/10010] Time 0.314 (1.494) Data 0.122 (1.289) Loss 1.8656 (1.8120) Prec@1 60.938 (58.893) Prec@5 80.469 (80.691) Epoch: [35][9090/10010] Time 0.315 (1.494) Data 0.000 (1.289) Loss 1.6757 (1.8119) Prec@1 60.156 (58.895) Prec@5 87.500 (80.694) Epoch: [35][9100/10010] Time 0.321 (1.494) Data 0.000 (1.289) Loss 1.9976 (1.8121) Prec@1 60.156 (58.894) Prec@5 77.344 (80.690) Epoch: [35][9110/10010] Time 0.313 (1.494) Data 0.000 (1.288) Loss 2.0203 (1.8121) Prec@1 57.031 (58.894) Prec@5 82.031 (80.690) Epoch: [35][9120/10010] Time 1.914 (1.494) Data 1.780 (1.289) Loss 2.1610 (1.8122) Prec@1 52.344 (58.895) Prec@5 77.344 (80.689) Epoch: [35][9130/10010] Time 1.237 (1.494) Data 1.099 (1.288) Loss 1.8697 (1.8122) Prec@1 56.250 (58.894) Prec@5 75.000 (80.688) Epoch: [35][9140/10010] Time 0.823 (1.494) Data 0.680 (1.289) Loss 2.2659 (1.8122) Prec@1 45.312 (58.893) Prec@5 75.000 (80.687) Epoch: [35][9150/10010] Time 2.266 (1.494) Data 2.125 (1.289) Loss 1.8980 (1.8122) Prec@1 57.812 (58.892) Prec@5 77.344 (80.688) Epoch: [35][9160/10010] Time 0.315 (1.494) Data 0.001 (1.289) Loss 1.6448 (1.8122) Prec@1 60.938 (58.891) Prec@5 82.812 (80.687) Epoch: [35][9170/10010] Time 0.353 (1.494) Data 0.217 (1.289) Loss 1.5849 (1.8121) Prec@1 63.281 (58.891) Prec@5 82.812 (80.689) Epoch: [35][9180/10010] Time 4.637 (1.495) Data 4.498 (1.289) Loss 2.0169 (1.8122) Prec@1 57.812 (58.889) Prec@5 75.000 (80.687) Epoch: [35][9190/10010] Time 0.314 (1.495) Data 0.001 (1.289) Loss 1.7166 (1.8122) Prec@1 66.406 (58.890) Prec@5 81.250 (80.687) Epoch: [35][9200/10010] Time 3.547 (1.495) Data 3.400 (1.289) Loss 1.6917 (1.8122) Prec@1 62.500 (58.890) Prec@5 82.812 (80.687) Epoch: [35][9210/10010] Time 2.838 (1.494) Data 2.700 (1.289) Loss 1.9584 (1.8122) Prec@1 57.031 (58.890) Prec@5 80.469 (80.686) Epoch: [35][9220/10010] Time 0.312 (1.494) Data 0.000 (1.289) Loss 1.9853 (1.8123) Prec@1 58.594 (58.889) Prec@5 78.125 (80.685) Epoch: [35][9230/10010] Time 1.008 (1.495) Data 0.870 (1.289) Loss 1.8305 (1.8123) Prec@1 63.281 (58.889) Prec@5 82.031 (80.685) Epoch: [35][9240/10010] Time 0.314 (1.495) Data 0.000 (1.289) Loss 1.8220 (1.8123) Prec@1 57.031 (58.889) Prec@5 78.125 (80.684) Epoch: [35][9250/10010] Time 1.402 (1.494) Data 1.268 (1.289) Loss 1.8307 (1.8123) Prec@1 59.375 (58.887) Prec@5 82.031 (80.683) Epoch: [35][9260/10010] Time 6.239 (1.495) Data 6.109 (1.289) Loss 1.8638 (1.8124) Prec@1 56.250 (58.885) Prec@5 77.344 (80.680) Epoch: [35][9270/10010] Time 0.812 (1.494) Data 0.673 (1.289) Loss 1.8832 (1.8124) Prec@1 55.469 (58.887) Prec@5 75.781 (80.679) Epoch: [35][9280/10010] Time 0.312 (1.494) Data 0.111 (1.288) Loss 2.1396 (1.8124) Prec@1 52.344 (58.887) Prec@5 75.000 (80.679) Epoch: [35][9290/10010] Time 3.131 (1.494) Data 2.991 (1.289) Loss 1.9818 (1.8124) Prec@1 50.000 (58.886) Prec@5 78.125 (80.680) Epoch: [35][9300/10010] Time 1.381 (1.494) Data 1.244 (1.288) Loss 1.7969 (1.8124) Prec@1 57.031 (58.887) Prec@5 82.031 (80.681) Epoch: [35][9310/10010] Time 0.870 (1.494) Data 0.733 (1.289) Loss 1.4697 (1.8123) Prec@1 64.062 (58.887) Prec@5 84.375 (80.681) Epoch: [35][9320/10010] Time 0.312 (1.494) Data 0.000 (1.288) Loss 2.3322 (1.8125) Prec@1 53.906 (58.886) Prec@5 68.750 (80.679) Epoch: [35][9330/10010] Time 0.313 (1.494) Data 0.000 (1.289) Loss 1.6844 (1.8125) Prec@1 59.375 (58.887) Prec@5 82.031 (80.679) Epoch: [35][9340/10010] Time 0.314 (1.494) Data 0.000 (1.289) Loss 1.8466 (1.8125) Prec@1 57.812 (58.886) Prec@5 78.125 (80.678) Epoch: [35][9350/10010] Time 0.313 (1.494) Data 0.001 (1.289) Loss 1.9447 (1.8125) Prec@1 53.906 (58.886) Prec@5 75.000 (80.677) Epoch: [35][9360/10010] Time 0.311 (1.494) Data 0.001 (1.288) Loss 1.9500 (1.8126) Prec@1 51.562 (58.883) Prec@5 79.688 (80.675) Epoch: [35][9370/10010] Time 0.323 (1.494) Data 0.000 (1.289) Loss 1.5599 (1.8126) Prec@1 60.938 (58.882) Prec@5 83.594 (80.675) Epoch: [35][9380/10010] Time 1.426 (1.494) Data 1.286 (1.289) Loss 1.7300 (1.8125) Prec@1 57.031 (58.883) Prec@5 81.250 (80.677) Epoch: [35][9390/10010] Time 1.591 (1.494) Data 1.453 (1.289) Loss 1.6551 (1.8123) Prec@1 58.594 (58.885) Prec@5 82.812 (80.679) Epoch: [35][9400/10010] Time 1.010 (1.494) Data 0.880 (1.289) Loss 1.5675 (1.8123) Prec@1 62.500 (58.884) Prec@5 83.594 (80.680) Epoch: [35][9410/10010] Time 3.761 (1.494) Data 3.621 (1.289) Loss 1.6378 (1.8124) Prec@1 64.844 (58.883) Prec@5 84.375 (80.679) Epoch: [35][9420/10010] Time 0.641 (1.494) Data 0.502 (1.289) Loss 1.7983 (1.8123) Prec@1 56.250 (58.886) Prec@5 78.125 (80.679) Epoch: [35][9430/10010] Time 0.313 (1.494) Data 0.015 (1.289) Loss 1.7519 (1.8123) Prec@1 58.594 (58.888) Prec@5 81.250 (80.679) Epoch: [35][9440/10010] Time 0.317 (1.494) Data 0.000 (1.289) Loss 1.8763 (1.8122) Prec@1 53.125 (58.890) Prec@5 78.906 (80.681) Epoch: [35][9450/10010] Time 1.530 (1.494) Data 1.394 (1.289) Loss 2.0417 (1.8123) Prec@1 50.000 (58.889) Prec@5 78.906 (80.680) Epoch: [35][9460/10010] Time 0.314 (1.494) Data 0.000 (1.289) Loss 1.7542 (1.8124) Prec@1 57.031 (58.888) Prec@5 81.250 (80.679) Epoch: [35][9470/10010] Time 0.311 (1.494) Data 0.001 (1.289) Loss 1.5108 (1.8123) Prec@1 66.406 (58.888) Prec@5 81.250 (80.680) Epoch: [35][9480/10010] Time 1.583 (1.494) Data 1.445 (1.289) Loss 1.7569 (1.8123) Prec@1 65.625 (58.889) Prec@5 83.594 (80.681) Epoch: [35][9490/10010] Time 0.762 (1.494) Data 0.623 (1.289) Loss 1.5749 (1.8122) Prec@1 64.062 (58.891) Prec@5 85.156 (80.682) Epoch: [35][9500/10010] Time 0.759 (1.494) Data 0.622 (1.289) Loss 1.7883 (1.8123) Prec@1 60.938 (58.891) Prec@5 79.688 (80.680) Epoch: [35][9510/10010] Time 2.043 (1.494) Data 1.905 (1.289) Loss 1.8649 (1.8122) Prec@1 60.156 (58.890) Prec@5 79.688 (80.682) Epoch: [35][9520/10010] Time 0.314 (1.494) Data 0.000 (1.288) Loss 1.9726 (1.8122) Prec@1 57.031 (58.891) Prec@5 75.000 (80.682) Epoch: [35][9530/10010] Time 0.314 (1.494) Data 0.000 (1.288) Loss 1.7910 (1.8123) Prec@1 58.594 (58.889) Prec@5 82.031 (80.681) Epoch: [35][9540/10010] Time 0.317 (1.494) Data 0.000 (1.289) Loss 1.6940 (1.8123) Prec@1 62.500 (58.888) Prec@5 83.594 (80.681) Epoch: [35][9550/10010] Time 2.494 (1.494) Data 2.354 (1.289) Loss 1.8443 (1.8123) Prec@1 53.906 (58.887) Prec@5 79.688 (80.681) Epoch: [35][9560/10010] Time 0.315 (1.494) Data 0.014 (1.288) Loss 2.2146 (1.8123) Prec@1 49.219 (58.885) Prec@5 78.906 (80.679) Epoch: [35][9570/10010] Time 0.485 (1.494) Data 0.344 (1.288) Loss 1.7824 (1.8124) Prec@1 60.938 (58.885) Prec@5 82.031 (80.679) Epoch: [35][9580/10010] Time 5.040 (1.494) Data 4.902 (1.289) Loss 2.0733 (1.8124) Prec@1 57.812 (58.884) Prec@5 75.000 (80.677) Epoch: [35][9590/10010] Time 0.431 (1.494) Data 0.297 (1.289) Loss 1.5982 (1.8125) Prec@1 60.156 (58.883) Prec@5 82.031 (80.675) Epoch: [35][9600/10010] Time 1.826 (1.494) Data 1.686 (1.289) Loss 1.7071 (1.8124) Prec@1 58.594 (58.886) Prec@5 82.812 (80.676) Epoch: [35][9610/10010] Time 2.520 (1.494) Data 2.380 (1.289) Loss 1.7050 (1.8124) Prec@1 63.281 (58.887) Prec@5 82.812 (80.677) Epoch: [35][9620/10010] Time 4.080 (1.494) Data 3.940 (1.289) Loss 1.6726 (1.8124) Prec@1 60.938 (58.888) Prec@5 82.812 (80.677) Epoch: [35][9630/10010] Time 2.685 (1.494) Data 2.542 (1.289) Loss 1.8277 (1.8124) Prec@1 60.156 (58.888) Prec@5 80.469 (80.678) Epoch: [35][9640/10010] Time 4.552 (1.494) Data 4.307 (1.289) Loss 1.8786 (1.8123) Prec@1 58.594 (58.889) Prec@5 79.688 (80.679) Epoch: [35][9650/10010] Time 4.176 (1.494) Data 4.039 (1.289) Loss 1.8951 (1.8123) Prec@1 62.500 (58.891) Prec@5 78.906 (80.679) Epoch: [35][9660/10010] Time 0.318 (1.494) Data 0.000 (1.289) Loss 1.7935 (1.8123) Prec@1 60.156 (58.892) Prec@5 80.469 (80.680) Epoch: [35][9670/10010] Time 3.279 (1.494) Data 3.135 (1.289) Loss 1.9321 (1.8123) Prec@1 55.469 (58.892) Prec@5 79.688 (80.680) Epoch: [35][9680/10010] Time 0.820 (1.494) Data 0.681 (1.289) Loss 1.9452 (1.8123) Prec@1 57.031 (58.892) Prec@5 78.906 (80.679) Epoch: [35][9690/10010] Time 4.096 (1.494) Data 3.955 (1.289) Loss 1.7003 (1.8123) Prec@1 66.406 (58.891) Prec@5 83.594 (80.679) Epoch: [35][9700/10010] Time 2.327 (1.494) Data 2.192 (1.289) Loss 1.6858 (1.8122) Prec@1 64.844 (58.893) Prec@5 81.250 (80.681) Epoch: [35][9710/10010] Time 0.318 (1.494) Data 0.000 (1.289) Loss 1.8821 (1.8121) Prec@1 58.594 (58.894) Prec@5 78.125 (80.683) Epoch: [35][9720/10010] Time 0.310 (1.494) Data 0.001 (1.289) Loss 1.8163 (1.8122) Prec@1 61.719 (58.893) Prec@5 77.344 (80.682) Epoch: [35][9730/10010] Time 3.773 (1.494) Data 3.634 (1.289) Loss 1.8708 (1.8122) Prec@1 51.562 (58.892) Prec@5 82.812 (80.683) Epoch: [35][9740/10010] Time 0.483 (1.494) Data 0.346 (1.289) Loss 1.7936 (1.8122) Prec@1 60.938 (58.892) Prec@5 78.906 (80.683) Epoch: [35][9750/10010] Time 5.584 (1.494) Data 5.446 (1.289) Loss 1.5509 (1.8121) Prec@1 59.375 (58.894) Prec@5 85.156 (80.683) Epoch: [35][9760/10010] Time 1.061 (1.494) Data 0.925 (1.289) Loss 1.6632 (1.8122) Prec@1 56.250 (58.893) Prec@5 84.375 (80.681) Epoch: [35][9770/10010] Time 5.954 (1.494) Data 5.810 (1.289) Loss 1.7135 (1.8122) Prec@1 66.406 (58.892) Prec@5 82.812 (80.681) Epoch: [35][9780/10010] Time 0.312 (1.494) Data 0.001 (1.289) Loss 1.8217 (1.8122) Prec@1 54.688 (58.893) Prec@5 77.344 (80.679) Epoch: [35][9790/10010] Time 0.528 (1.494) Data 0.397 (1.289) Loss 1.7576 (1.8123) Prec@1 59.375 (58.892) Prec@5 83.594 (80.680) Epoch: [35][9800/10010] Time 1.680 (1.494) Data 1.542 (1.289) Loss 1.8798 (1.8124) Prec@1 63.281 (58.891) Prec@5 80.469 (80.679) Epoch: [35][9810/10010] Time 2.534 (1.494) Data 2.396 (1.289) Loss 2.1522 (1.8124) Prec@1 56.250 (58.890) Prec@5 77.344 (80.679) Epoch: [35][9820/10010] Time 0.314 (1.494) Data 0.139 (1.289) Loss 1.8794 (1.8124) Prec@1 55.469 (58.889) Prec@5 78.906 (80.680) Epoch: [35][9830/10010] Time 2.442 (1.494) Data 2.301 (1.289) Loss 1.8328 (1.8124) Prec@1 53.906 (58.888) Prec@5 78.125 (80.680) Epoch: [35][9840/10010] Time 2.604 (1.494) Data 2.464 (1.289) Loss 1.8301 (1.8125) Prec@1 58.594 (58.886) Prec@5 83.594 (80.679) Epoch: [35][9850/10010] Time 0.315 (1.495) Data 0.000 (1.290) Loss 1.8664 (1.8125) Prec@1 56.250 (58.885) Prec@5 81.250 (80.680) Epoch: [35][9860/10010] Time 0.314 (1.495) Data 0.000 (1.289) Loss 1.8571 (1.8125) Prec@1 55.469 (58.883) Prec@5 78.906 (80.679) Epoch: [35][9870/10010] Time 3.363 (1.495) Data 3.224 (1.290) Loss 1.8122 (1.8126) Prec@1 58.594 (58.881) Prec@5 79.688 (80.677) Epoch: [35][9880/10010] Time 0.309 (1.494) Data 0.001 (1.289) Loss 1.9581 (1.8126) Prec@1 60.938 (58.883) Prec@5 79.688 (80.678) Epoch: [35][9890/10010] Time 0.312 (1.495) Data 0.000 (1.289) Loss 1.6064 (1.8126) Prec@1 59.375 (58.884) Prec@5 85.938 (80.678) Epoch: [35][9900/10010] Time 2.776 (1.495) Data 2.640 (1.289) Loss 1.8897 (1.8126) Prec@1 58.594 (58.882) Prec@5 82.031 (80.680) Epoch: [35][9910/10010] Time 1.078 (1.495) Data 0.937 (1.289) Loss 1.6177 (1.8126) Prec@1 63.281 (58.881) Prec@5 82.031 (80.678) Epoch: [35][9920/10010] Time 0.392 (1.495) Data 0.256 (1.290) Loss 2.1570 (1.8126) Prec@1 51.562 (58.881) Prec@5 74.219 (80.678) Epoch: [35][9930/10010] Time 0.315 (1.494) Data 0.000 (1.289) Loss 1.9750 (1.8127) Prec@1 53.906 (58.881) Prec@5 76.562 (80.676) Epoch: [35][9940/10010] Time 2.448 (1.494) Data 2.307 (1.289) Loss 1.7131 (1.8126) Prec@1 63.281 (58.883) Prec@5 82.031 (80.677) Epoch: [35][9950/10010] Time 2.888 (1.495) Data 2.747 (1.289) Loss 1.6138 (1.8127) Prec@1 60.156 (58.881) Prec@5 81.250 (80.676) Epoch: [35][9960/10010] Time 0.925 (1.494) Data 0.787 (1.289) Loss 2.0413 (1.8128) Prec@1 53.125 (58.879) Prec@5 77.344 (80.675) Epoch: [35][9970/10010] Time 0.314 (1.494) Data 0.001 (1.289) Loss 2.1204 (1.8128) Prec@1 51.562 (58.879) Prec@5 78.125 (80.675) Epoch: [35][9980/10010] Time 2.420 (1.494) Data 2.280 (1.289) Loss 1.8141 (1.8128) Prec@1 63.281 (58.878) Prec@5 83.594 (80.675) Epoch: [35][9990/10010] Time 1.675 (1.495) Data 1.545 (1.290) Loss 1.6451 (1.8128) Prec@1 61.719 (58.879) Prec@5 80.469 (80.676) Epoch: [35][10000/10010] Time 0.858 (1.494) Data 0.718 (1.289) Loss 2.0055 (1.8128) Prec@1 60.156 (58.879) Prec@5 75.000 (80.677) Test: [0/391] Time 4.993 (4.993) Loss 0.7075 (0.7075) Prec@1 84.375 (84.375) Prec@5 92.188 (92.188) Test: [10/391] Time 0.202 (1.068) Loss 1.4056 (0.8831) Prec@1 68.750 (78.409) Prec@5 89.062 (92.543) Test: [20/391] Time 0.102 (0.822) Loss 1.2626 (1.1692) Prec@1 66.406 (70.610) Prec@5 87.500 (89.286) Test: [30/391] Time 0.098 (0.761) Loss 1.9273 (1.2864) Prec@1 61.719 (67.364) Prec@5 80.469 (88.508) Test: [40/391] Time 3.316 (0.775) Loss 1.1402 (1.1598) Prec@1 72.656 (70.503) Prec@5 90.625 (89.920) Test: [50/391] Time 0.107 (0.744) Loss 0.5899 (1.1723) Prec@1 82.031 (70.588) Prec@5 95.312 (89.660) Test: [60/391] Time 0.099 (0.701) Loss 1.0841 (1.1029) Prec@1 71.094 (72.259) Prec@5 92.188 (90.446) Test: [70/391] Time 0.836 (0.678) Loss 1.2783 (1.1384) Prec@1 63.281 (71.105) Prec@5 94.531 (90.372) Test: [80/391] Time 1.807 (0.689) Loss 1.3509 (1.1738) Prec@1 61.719 (70.004) Prec@5 89.062 (90.230) Test: [90/391] Time 0.193 (0.673) Loss 1.3851 (1.1818) Prec@1 55.469 (69.900) Prec@5 90.625 (90.264) Test: [100/391] Time 0.148 (0.662) Loss 1.0497 (1.1766) Prec@1 72.656 (69.655) Prec@5 92.188 (90.470) Test: [110/391] Time 0.100 (0.648) Loss 1.4543 (1.1763) Prec@1 47.656 (69.405) Prec@5 90.625 (90.541) Test: [120/391] Time 1.935 (0.652) Loss 0.9793 (1.1667) Prec@1 72.656 (69.667) Prec@5 93.750 (90.670) Test: [130/391] Time 1.306 (0.647) Loss 0.6168 (1.1553) Prec@1 86.719 (70.092) Prec@5 94.531 (90.810) Test: [140/391] Time 0.097 (0.648) Loss 1.4162 (1.1529) Prec@1 56.250 (70.107) Prec@5 89.844 (90.863) Test: [150/391] Time 1.215 (0.639) Loss 1.0127 (1.1541) Prec@1 68.750 (70.214) Prec@5 92.969 (90.801) Test: [160/391] Time 0.096 (0.635) Loss 1.4256 (1.1592) Prec@1 60.156 (70.191) Prec@5 84.375 (90.722) Test: [170/391] Time 0.098 (0.639) Loss 1.7310 (1.1927) Prec@1 62.500 (69.600) Prec@5 85.156 (90.301) Test: [180/391] Time 0.493 (0.629) Loss 2.3604 (1.2283) Prec@1 48.438 (68.867) Prec@5 80.469 (89.835) Test: [190/391] Time 0.351 (0.624) Loss 1.8868 (1.2633) Prec@1 54.688 (68.247) Prec@5 82.031 (89.275) Test: [200/391] Time 0.107 (0.625) Loss 1.6295 (1.2989) Prec@1 55.469 (67.506) Prec@5 85.156 (88.806) Test: [210/391] Time 1.947 (0.628) Loss 1.5796 (1.3180) Prec@1 67.188 (67.202) Prec@5 82.031 (88.515) Test: [220/391] Time 0.330 (0.621) Loss 0.8796 (1.3262) Prec@1 76.562 (67.089) Prec@5 93.750 (88.317) Test: [230/391] Time 0.097 (0.627) Loss 2.6975 (1.3484) Prec@1 35.938 (66.704) Prec@5 74.219 (88.024) Test: [240/391] Time 0.979 (0.616) Loss 1.7500 (1.3600) Prec@1 65.625 (66.598) Prec@5 80.469 (87.847) Test: [250/391] Time 1.209 (0.616) Loss 1.0569 (1.3860) Prec@1 75.000 (66.086) Prec@5 89.844 (87.481) Test: [260/391] Time 0.983 (0.614) Loss 1.8816 (1.4052) Prec@1 56.250 (65.712) Prec@5 80.469 (87.255) Test: [270/391] Time 1.108 (0.614) Loss 2.2717 (1.4188) Prec@1 45.312 (65.374) Prec@5 75.781 (87.039) Test: [280/391] Time 2.859 (0.617) Loss 1.6864 (1.4298) Prec@1 50.781 (65.161) Prec@5 87.500 (86.911) Test: [290/391] Time 0.099 (0.609) Loss 2.0259 (1.4461) Prec@1 38.281 (64.841) Prec@5 82.031 (86.670) Test: [300/391] Time 1.390 (0.611) Loss 1.5053 (1.4584) Prec@1 75.000 (64.654) Prec@5 85.156 (86.488) Test: [310/391] Time 0.145 (0.605) Loss 1.9635 (1.4689) Prec@1 61.719 (64.492) Prec@5 77.344 (86.287) Test: [320/391] Time 0.547 (0.607) Loss 0.8336 (1.4754) Prec@1 83.594 (64.430) Prec@5 92.969 (86.176) Test: [330/391] Time 0.098 (0.608) Loss 2.3351 (1.4980) Prec@1 45.312 (63.978) Prec@5 75.000 (85.819) Test: [340/391] Time 0.287 (0.607) Loss 1.5562 (1.5078) Prec@1 56.250 (63.675) Prec@5 89.844 (85.704) Test: [350/391] Time 0.219 (0.604) Loss 1.4790 (1.5130) Prec@1 66.406 (63.617) Prec@5 89.844 (85.599) Test: [360/391] Time 1.498 (0.606) Loss 1.7122 (1.5242) Prec@1 52.344 (63.385) Prec@5 86.719 (85.509) Test: [370/391] Time 0.098 (0.609) Loss 1.2279 (1.5184) Prec@1 58.594 (63.418) Prec@5 92.188 (85.582) Test: [380/391] Time 0.146 (0.605) Loss 1.0143 (1.5184) Prec@1 75.000 (63.458) Prec@5 92.188 (85.581) Test: [390/391] Time 0.562 (0.602) Loss 2.4069 (1.5104) Prec@1 30.000 (63.618) Prec@5 73.750 (85.680) * Prec@1 63.618 Prec@5 85.680 Epoch: [36][0/10010] Time 2.504 (2.504) Data 2.253 (2.253) Loss 1.5976 (1.5976) Prec@1 59.375 (59.375) Prec@5 87.500 (87.500) Epoch: [36][10/10010] Time 0.318 (0.516) Data 0.001 (0.205) Loss 1.6217 (1.7377) Prec@1 61.719 (59.801) Prec@5 81.250 (81.250) Epoch: [36][20/10010] Time 0.320 (0.421) Data 0.000 (0.108) Loss 1.9579 (1.7758) Prec@1 57.031 (59.189) Prec@5 76.562 (80.692) Epoch: [36][30/10010] Time 0.312 (0.388) Data 0.001 (0.073) Loss 1.6501 (1.7731) Prec@1 62.500 (59.677) Prec@5 82.031 (80.872) Epoch: [36][40/10010] Time 0.320 (0.371) Data 0.001 (0.056) Loss 1.9885 (1.7671) Prec@1 54.688 (60.080) Prec@5 77.344 (80.907) Epoch: [36][50/10010] Time 0.319 (0.360) Data 0.000 (0.045) Loss 1.8796 (1.7747) Prec@1 55.469 (59.789) Prec@5 77.344 (80.882) Epoch: [36][60/10010] Time 0.322 (0.353) Data 0.001 (0.038) Loss 2.0278 (1.7732) Prec@1 53.906 (59.900) Prec@5 75.000 (80.879) Epoch: [36][70/10010] Time 0.318 (0.348) Data 0.001 (0.032) Loss 1.8641 (1.7684) Prec@1 61.719 (60.101) Prec@5 76.562 (81.118) Epoch: [36][80/10010] Time 0.320 (0.386) Data 0.000 (0.028) Loss 1.6581 (1.7674) Prec@1 60.156 (60.060) Prec@5 83.594 (81.144) Epoch: [36][90/10010] Time 0.320 (0.378) Data 0.000 (0.025) Loss 1.9262 (1.7750) Prec@1 58.594 (59.813) Prec@5 77.344 (81.053) Epoch: [36][100/10010] Time 0.323 (0.373) Data 0.001 (0.023) Loss 1.6747 (1.7786) Prec@1 60.156 (59.723) Prec@5 78.906 (80.995) Epoch: [36][110/10010] Time 0.325 (0.368) Data 0.000 (0.021) Loss 1.9266 (1.7954) Prec@1 58.594 (59.438) Prec@5 80.469 (80.750) Epoch: [36][120/10010] Time 0.317 (0.364) Data 0.001 (0.019) Loss 1.7865 (1.7870) Prec@1 59.375 (59.556) Prec@5 81.250 (80.966) Epoch: [36][130/10010] Time 0.321 (0.360) Data 0.001 (0.018) Loss 1.8935 (1.7924) Prec@1 57.812 (59.399) Prec@5 78.125 (80.886) Epoch: [36][140/10010] Time 0.320 (0.358) Data 0.001 (0.017) Loss 1.5346 (1.7876) Prec@1 64.844 (59.502) Prec@5 87.500 (80.984) Epoch: [36][150/10010] Time 0.322 (0.355) Data 0.000 (0.016) Loss 1.6307 (1.7946) Prec@1 64.062 (59.427) Prec@5 81.250 (80.867) Epoch: [36][160/10010] Time 0.321 (0.353) Data 0.000 (0.015) Loss 1.8598 (1.7906) Prec@1 62.500 (59.491) Prec@5 78.125 (80.969) Epoch: [36][170/10010] Time 0.322 (0.351) Data 0.001 (0.014) Loss 1.4911 (1.7916) Prec@1 64.844 (59.434) Prec@5 86.719 (81.026) Epoch: [36][180/10010] Time 0.321 (0.350) Data 0.001 (0.013) Loss 1.6559 (1.7994) Prec@1 64.844 (59.319) Prec@5 82.812 (80.900) Epoch: [36][190/10010] Time 0.321 (0.348) Data 0.001 (0.012) Loss 2.0021 (1.7956) Prec@1 53.906 (59.383) Prec@5 76.562 (80.915) Epoch: [36][200/10010] Time 0.326 (0.347) Data 0.001 (0.012) Loss 1.8178 (1.7974) Prec@1 55.469 (59.313) Prec@5 83.594 (80.881) Epoch: [36][210/10010] Time 0.320 (0.346) Data 0.000 (0.011) Loss 1.8180 (1.7977) Prec@1 62.500 (59.375) Prec@5 81.250 (80.861) Epoch: [36][220/10010] Time 0.322 (0.345) Data 0.001 (0.011) Loss 1.9298 (1.7961) Prec@1 57.031 (59.347) Prec@5 75.000 (80.858) Epoch: [36][230/10010] Time 0.335 (0.345) Data 0.000 (0.010) Loss 1.7610 (1.7933) Prec@1 57.031 (59.378) Prec@5 82.812 (80.878) Epoch: [36][240/10010] Time 0.324 (0.344) Data 0.001 (0.010) Loss 1.9144 (1.7913) Prec@1 54.688 (59.440) Prec@5 78.125 (80.929) Epoch: [36][250/10010] Time 0.340 (0.343) Data 0.001 (0.010) Loss 1.5672 (1.7867) Prec@1 62.500 (59.493) Prec@5 86.719 (80.992) Epoch: [36][260/10010] Time 0.327 (0.343) Data 0.001 (0.009) Loss 2.1686 (1.7886) Prec@1 52.344 (59.399) Prec@5 73.438 (80.951) Epoch: [36][270/10010] Time 0.332 (0.343) Data 0.001 (0.009) Loss 1.9448 (1.7881) Prec@1 62.500 (59.499) Prec@5 80.469 (80.924) Epoch: [36][280/10010] Time 0.329 (0.342) Data 0.001 (0.009) Loss 1.5534 (1.7841) Prec@1 67.969 (59.553) Prec@5 85.938 (80.980) Epoch: [36][290/10010] Time 0.337 (0.342) Data 0.001 (0.008) Loss 1.8422 (1.7836) Prec@1 56.250 (59.485) Prec@5 82.812 (81.024) Epoch: [36][300/10010] Time 0.341 (0.341) Data 0.001 (0.008) Loss 2.1257 (1.7838) Prec@1 51.562 (59.526) Prec@5 79.688 (81.061) Epoch: [36][310/10010] Time 0.339 (0.341) Data 0.000 (0.008) Loss 1.3900 (1.7805) Prec@1 63.281 (59.561) Prec@5 86.719 (81.122) Epoch: [36][320/10010] Time 0.324 (0.341) Data 0.001 (0.008) Loss 1.8688 (1.7809) Prec@1 60.938 (59.558) Prec@5 78.906 (81.109) Epoch: [36][330/10010] Time 0.332 (0.340) Data 0.001 (0.007) Loss 2.0059 (1.7820) Prec@1 60.156 (59.543) Prec@5 78.125 (81.104) Epoch: [36][340/10010] Time 0.336 (0.340) Data 0.001 (0.007) Loss 1.9801 (1.7824) Prec@1 52.344 (59.522) Prec@5 82.031 (81.115) Epoch: [36][350/10010] Time 0.333 (0.340) Data 0.001 (0.007) Loss 1.7439 (1.7851) Prec@1 63.281 (59.482) Prec@5 84.375 (81.054) Epoch: [36][360/10010] Time 0.331 (0.340) Data 0.000 (0.007) Loss 1.6455 (1.7840) Prec@1 59.375 (59.520) Prec@5 82.812 (81.057) Epoch: [36][370/10010] Time 0.327 (0.339) Data 0.001 (0.007) Loss 2.2064 (1.7856) Prec@1 51.562 (59.533) Prec@5 74.219 (81.046) Epoch: [36][380/10010] Time 0.326 (0.339) Data 0.001 (0.007) Loss 1.9425 (1.7836) Prec@1 59.375 (59.594) Prec@5 75.000 (81.076) Epoch: [36][390/10010] Time 0.339 (0.339) Data 0.001 (0.006) Loss 1.7212 (1.7844) Prec@1 61.719 (59.543) Prec@5 82.812 (81.072) Epoch: [36][400/10010] Time 0.317 (0.339) Data 0.001 (0.006) Loss 1.5048 (1.7828) Prec@1 63.281 (59.556) Prec@5 85.156 (81.079) Epoch: [36][410/10010] Time 0.337 (0.338) Data 0.000 (0.006) Loss 1.6328 (1.7829) Prec@1 60.156 (59.504) Prec@5 82.812 (81.066) Epoch: [36][420/10010] Time 0.334 (0.338) Data 0.001 (0.006) Loss 1.7091 (1.7809) Prec@1 62.500 (59.562) Prec@5 82.031 (81.092) Epoch: [36][430/10010] Time 0.319 (0.338) Data 0.001 (0.006) Loss 1.6928 (1.7803) Prec@1 59.375 (59.569) Prec@5 79.688 (81.096) Epoch: [36][440/10010] Time 0.317 (0.338) Data 0.001 (0.006) Loss 1.9297 (1.7817) Prec@1 54.688 (59.522) Prec@5 78.125 (81.069) Epoch: [36][450/10010] Time 0.329 (0.337) Data 0.000 (0.006) Loss 1.3687 (1.7816) Prec@1 64.062 (59.546) Prec@5 89.062 (81.065) Epoch: [36][460/10010] Time 0.335 (0.337) Data 0.001 (0.006) Loss 2.2470 (1.7835) Prec@1 50.000 (59.519) Prec@5 71.875 (81.040) Epoch: [36][470/10010] Time 0.323 (0.337) Data 0.001 (0.005) Loss 1.8199 (1.7859) Prec@1 60.938 (59.463) Prec@5 79.688 (81.018) Epoch: [36][480/10010] Time 0.316 (0.337) Data 0.001 (0.005) Loss 1.6673 (1.7866) Prec@1 60.938 (59.474) Prec@5 82.812 (80.980) Epoch: [36][490/10010] Time 0.325 (0.337) Data 0.001 (0.005) Loss 1.8896 (1.7877) Prec@1 53.906 (59.440) Prec@5 80.469 (80.995) Epoch: [36][500/10010] Time 0.324 (0.337) Data 0.001 (0.005) Loss 1.8587 (1.7894) Prec@1 53.125 (59.387) Prec@5 82.031 (80.979) Epoch: [36][510/10010] Time 0.323 (0.336) Data 0.000 (0.005) Loss 2.0240 (1.7909) Prec@1 50.000 (59.325) Prec@5 78.906 (80.955) Epoch: [36][520/10010] Time 0.319 (0.336) Data 0.001 (0.005) Loss 2.0034 (1.7906) Prec@1 58.594 (59.342) Prec@5 77.344 (80.953) Epoch: [36][530/10010] Time 0.319 (0.336) Data 0.001 (0.005) Loss 1.4301 (1.7894) Prec@1 66.406 (59.382) Prec@5 87.500 (80.979) Epoch: [36][540/10010] Time 0.326 (0.336) Data 0.001 (0.005) Loss 1.8265 (1.7889) Prec@1 60.938 (59.394) Prec@5 81.250 (80.987) Epoch: [36][550/10010] Time 0.331 (0.336) Data 0.001 (0.005) Loss 1.7854 (1.7874) Prec@1 58.594 (59.413) Prec@5 82.031 (81.008) Epoch: [36][560/10010] Time 0.320 (0.336) Data 0.000 (0.005) Loss 1.7389 (1.7867) Prec@1 60.938 (59.438) Prec@5 84.375 (81.020) Epoch: [36][570/10010] Time 0.338 (0.336) Data 0.001 (0.005) Loss 1.7535 (1.7852) Prec@1 60.938 (59.446) Prec@5 84.375 (81.058) Epoch: [36][580/10010] Time 0.337 (0.336) Data 0.001 (0.005) Loss 2.1065 (1.7853) Prec@1 53.906 (59.440) Prec@5 75.000 (81.058) Epoch: [36][590/10010] Time 0.321 (0.336) Data 0.001 (0.004) Loss 1.8215 (1.7845) Prec@1 58.594 (59.474) Prec@5 84.375 (81.076) Epoch: [36][600/10010] Time 0.319 (0.335) Data 0.000 (0.004) Loss 1.6088 (1.7836) Prec@1 63.281 (59.470) Prec@5 83.594 (81.081) Epoch: [36][610/10010] Time 0.327 (0.335) Data 0.001 (0.004) Loss 1.6110 (1.7835) Prec@1 63.281 (59.491) Prec@5 82.812 (81.094) Epoch: [36][620/10010] Time 0.340 (0.338) Data 0.001 (0.004) Loss 1.9111 (1.7838) Prec@1 49.219 (59.478) Prec@5 80.469 (81.091) Epoch: [36][630/10010] Time 0.321 (0.338) Data 0.001 (0.004) Loss 1.8859 (1.7854) Prec@1 60.156 (59.453) Prec@5 80.469 (81.064) Epoch: [36][640/10010] Time 0.318 (0.338) Data 0.001 (0.004) Loss 1.8212 (1.7863) Prec@1 54.688 (59.438) Prec@5 78.906 (81.048) Epoch: [36][650/10010] Time 0.327 (0.337) Data 0.001 (0.004) Loss 1.8787 (1.7856) Prec@1 62.500 (59.447) Prec@5 79.688 (81.069) Epoch: [36][660/10010] Time 0.335 (0.337) Data 0.001 (0.004) Loss 1.7870 (1.7860) Prec@1 55.469 (59.436) Prec@5 81.250 (81.076) Epoch: [36][670/10010] Time 0.321 (0.337) Data 0.001 (0.004) Loss 1.8190 (1.7870) Prec@1 59.375 (59.430) Prec@5 81.250 (81.068) Epoch: [36][680/10010] Time 0.328 (0.337) Data 0.000 (0.004) Loss 1.7008 (1.7866) Prec@1 66.406 (59.460) Prec@5 82.031 (81.077) /data/vision/torralba/deepscene/lib/anaconda2/lib/python2.7/site-packages/PIL/TiffImagePlugin.py:692: UserWarning: Possibly corrupt EXIF data. Expecting to read 2555904 bytes but only got 0. Skipping tag 0 "Skipping tag %s" % (size, len(data), tag)) Epoch: [36][690/10010] Time 0.333 (0.337) Data 0.001 (0.004) Loss 1.9928 (1.7875) Prec@1 53.125 (59.438) Prec@5 80.469 (81.070) Epoch: [36][700/10010] Time 0.339 (0.337) Data 0.001 (0.004) Loss 1.7841 (1.7870) Prec@1 64.062 (59.460) Prec@5 80.469 (81.067) Epoch: [36][710/10010] Time 0.335 (0.337) Data 0.001 (0.004) Loss 1.8697 (1.7875) Prec@1 57.031 (59.429) Prec@5 81.250 (81.061) Epoch: [36][720/10010] Time 0.333 (0.336) Data 0.001 (0.004) Loss 2.0018 (1.7877) Prec@1 53.125 (59.415) Prec@5 77.344 (81.052) Epoch: [36][730/10010] Time 0.331 (0.336) Data 0.001 (0.004) Loss 1.5200 (1.7885) Prec@1 65.625 (59.385) Prec@5 83.594 (81.035) Epoch: [36][740/10010] Time 0.337 (0.336) Data 0.001 (0.004) Loss 1.8773 (1.7884) Prec@1 60.156 (59.383) Prec@5 83.594 (81.042) Epoch: [36][750/10010] Time 0.335 (0.336) Data 0.000 (0.004) Loss 1.9339 (1.7890) Prec@1 57.031 (59.377) Prec@5 78.125 (81.048) Epoch: [36][760/10010] Time 0.327 (0.336) Data 0.001 (0.004) Loss 1.5806 (1.7894) Prec@1 61.719 (59.366) Prec@5 82.812 (81.034) Epoch: [36][770/10010] Time 0.339 (0.336) Data 0.001 (0.004) Loss 1.8166 (1.7894) Prec@1 60.938 (59.381) Prec@5 81.250 (81.039) Epoch: [36][780/10010] Time 0.336 (0.336) Data 0.000 (0.004) Loss 2.1145 (1.7917) Prec@1 54.688 (59.353) Prec@5 76.562 (80.994) Epoch: [36][790/10010] Time 0.338 (0.336) Data 0.000 (0.004) Loss 1.8452 (1.7916) Prec@1 57.812 (59.358) Prec@5 80.469 (80.994) Epoch: [36][800/10010] Time 0.337 (0.336) Data 0.001 (0.003) Loss 1.5955 (1.7909) Prec@1 63.281 (59.389) Prec@5 82.812 (81.007) Epoch: [36][810/10010] Time 0.339 (0.336) Data 0.000 (0.003) Loss 2.1391 (1.7925) Prec@1 57.031 (59.358) Prec@5 72.656 (80.995) Epoch: [36][820/10010] Time 0.347 (0.336) Data 0.000 (0.003) Loss 1.7348 (1.7920) Prec@1 59.375 (59.376) Prec@5 82.031 (80.990) Epoch: [36][830/10010] Time 0.336 (0.336) Data 0.001 (0.003) Loss 1.4416 (1.7911) Prec@1 62.500 (59.385) Prec@5 89.062 (81.004) Epoch: [36][840/10010] Time 0.323 (0.336) Data 0.001 (0.003) Loss 1.4433 (1.7905) Prec@1 64.062 (59.366) Prec@5 85.938 (81.011) Epoch: [36][850/10010] Time 0.331 (0.335) Data 0.001 (0.003) Loss 1.7340 (1.7918) Prec@1 60.938 (59.347) Prec@5 82.812 (80.988) Epoch: [36][860/10010] Time 0.322 (0.335) Data 0.001 (0.003) Loss 1.9123 (1.7923) Prec@1 59.375 (59.346) Prec@5 77.344 (80.989) Epoch: [36][870/10010] Time 0.320 (0.335) Data 0.001 (0.003) Loss 1.7829 (1.7931) Prec@1 59.375 (59.344) Prec@5 79.688 (80.969) Epoch: [36][880/10010] Time 0.338 (0.335) Data 0.000 (0.003) Loss 1.5951 (1.7936) Prec@1 66.406 (59.329) Prec@5 80.469 (80.961) Epoch: [36][890/10010] Time 0.335 (0.335) Data 0.001 (0.003) Loss 1.7664 (1.7923) Prec@1 57.812 (59.336) Prec@5 81.250 (80.988) Epoch: [36][900/10010] Time 0.333 (0.335) Data 0.001 (0.003) Loss 1.7362 (1.7931) Prec@1 60.156 (59.299) Prec@5 84.375 (80.986) Epoch: [36][910/10010] Time 0.321 (0.335) Data 0.001 (0.003) Loss 1.8611 (1.7929) Prec@1 56.250 (59.293) Prec@5 82.031 (80.983) Epoch: [36][920/10010] Time 0.324 (0.335) Data 0.000 (0.003) Loss 1.3620 (1.7925) Prec@1 67.969 (59.277) Prec@5 85.938 (80.992) Epoch: [36][930/10010] Time 0.333 (0.335) Data 0.001 (0.003) Loss 1.7932 (1.7929) Prec@1 61.719 (59.278) Prec@5 85.156 (80.999) Epoch: [36][940/10010] Time 0.336 (0.335) Data 0.001 (0.003) Loss 2.2641 (1.7935) Prec@1 49.219 (59.270) Prec@5 74.219 (80.988) Epoch: [36][950/10010] Time 0.323 (0.335) Data 0.001 (0.003) Loss 1.6872 (1.7940) Prec@1 64.844 (59.280) Prec@5 79.688 (80.982) Epoch: [36][960/10010] Time 0.341 (0.335) Data 0.001 (0.003) Loss 2.3240 (1.7951) Prec@1 53.906 (59.259) Prec@5 71.875 (80.957) Epoch: [36][970/10010] Time 0.327 (0.335) Data 0.001 (0.003) Loss 1.5238 (1.7952) Prec@1 68.750 (59.273) Prec@5 82.812 (80.960) Epoch: [36][980/10010] Time 0.323 (0.334) Data 0.000 (0.003) Loss 1.7311 (1.7957) Prec@1 57.812 (59.256) Prec@5 82.812 (80.947) /data/vision/torralba/deepscene/lib/anaconda2/lib/python2.7/site-packages/PIL/TiffImagePlugin.py:692: UserWarning: Possibly corrupt EXIF data. Expecting to read 2555904 bytes but only got 0. Skipping tag 0 "Skipping tag %s" % (size, len(data), tag)) Epoch: [36][990/10010] Time 0.319 (0.334) Data 0.001 (0.003) Loss 1.9219 (1.7963) Prec@1 58.594 (59.243) Prec@5 79.688 (80.928) Epoch: [36][1000/10010] Time 0.326 (0.334) Data 0.001 (0.003) Loss 1.8869 (1.7956) Prec@1 58.594 (59.242) Prec@5 80.469 (80.934) Epoch: [36][1010/10010] Time 0.325 (0.334) Data 0.000 (0.003) Loss 1.6844 (1.7950) Prec@1 60.156 (59.247) Prec@5 81.250 (80.942) Epoch: [36][1020/10010] Time 0.330 (0.334) Data 0.001 (0.003) Loss 1.8612 (1.7960) Prec@1 62.500 (59.243) Prec@5 78.125 (80.921) Epoch: [36][1030/10010] Time 0.318 (0.334) Data 0.001 (0.003) Loss 1.8123 (1.7960) Prec@1 53.125 (59.254) Prec@5 82.812 (80.932) Epoch: [36][1040/10010] Time 0.322 (0.334) Data 0.001 (0.003) Loss 1.5178 (1.7954) Prec@1 60.938 (59.255) Prec@5 87.500 (80.941) Epoch: [36][1050/10010] Time 0.342 (0.334) Data 0.000 (0.003) Loss 1.8759 (1.7957) Prec@1 57.031 (59.248) Prec@5 80.469 (80.943) Epoch: [36][1060/10010] Time 0.327 (0.334) Data 0.001 (0.003) Loss 1.7007 (1.7957) Prec@1 60.156 (59.241) Prec@5 83.594 (80.941) Epoch: [36][1070/10010] Time 0.343 (0.334) Data 0.000 (0.003) Loss 1.8555 (1.7946) Prec@1 57.812 (59.263) Prec@5 80.469 (80.955) Epoch: [36][1080/10010] Time 0.325 (0.334) Data 0.000 (0.003) Loss 1.5470 (1.7949) Prec@1 64.062 (59.272) Prec@5 82.031 (80.965) Epoch: [36][1090/10010] Time 0.314 (0.334) Data 0.001 (0.003) Loss 2.1704 (1.7954) Prec@1 52.344 (59.250) Prec@5 75.000 (80.955) Epoch: [36][1100/10010] Time 0.338 (0.334) Data 0.000 (0.003) Loss 1.6990 (1.7953) Prec@1 60.938 (59.234) Prec@5 79.688 (80.965) Epoch: [36][1110/10010] Time 0.339 (0.334) Data 0.001 (0.003) Loss 1.6091 (1.7955) Prec@1 62.500 (59.240) Prec@5 83.594 (80.969) Epoch: [36][1120/10010] Time 0.342 (0.334) Data 0.000 (0.003) Loss 2.0494 (1.7967) Prec@1 46.875 (59.224) Prec@5 75.781 (80.948) Epoch: [36][1130/10010] Time 0.331 (0.334) Data 0.001 (0.003) Loss 2.1525 (1.7968) Prec@1 52.344 (59.229) Prec@5 76.562 (80.946) Epoch: [36][1140/10010] Time 0.339 (0.334) Data 0.001 (0.003) Loss 1.9664 (1.7972) Prec@1 57.812 (59.232) Prec@5 77.344 (80.940) Epoch: [36][1150/10010] Time 0.336 (0.334) Data 0.001 (0.003) Loss 1.9565 (1.7972) Prec@1 55.469 (59.226) Prec@5 78.906 (80.941) Epoch: [36][1160/10010] Time 0.326 (0.334) Data 0.001 (0.003) Loss 1.6003 (1.7975) Prec@1 63.281 (59.224) Prec@5 80.469 (80.930) Epoch: [36][1170/10010] Time 0.326 (0.334) Data 0.001 (0.003) Loss 1.7708 (1.7973) Prec@1 58.594 (59.224) Prec@5 78.906 (80.932) Epoch: [36][1180/10010] Time 0.324 (0.334) Data 0.001 (0.003) Loss 1.7968 (1.7970) Prec@1 57.812 (59.220) Prec@5 82.031 (80.940) Epoch: [36][1190/10010] Time 0.328 (0.334) Data 0.001 (0.003) Loss 1.6895 (1.7968) Prec@1 61.719 (59.226) Prec@5 82.031 (80.942) Epoch: [36][1200/10010] Time 0.325 (0.334) Data 0.001 (0.003) Loss 1.5958 (1.7968) Prec@1 64.062 (59.230) Prec@5 87.500 (80.949) Epoch: [36][1210/10010] Time 0.323 (0.333) Data 0.001 (0.003) Loss 1.7204 (1.7965) Prec@1 64.062 (59.241) Prec@5 84.375 (80.959) Epoch: [36][1220/10010] Time 0.323 (0.333) Data 0.000 (0.002) Loss 1.6881 (1.7975) Prec@1 60.156 (59.209) Prec@5 82.031 (80.940) Epoch: [36][1230/10010] Time 0.324 (0.333) Data 0.001 (0.002) Loss 1.9340 (1.7976) Prec@1 54.688 (59.200) Prec@5 78.125 (80.933) Epoch: [36][1240/10010] Time 0.333 (0.333) Data 0.001 (0.002) Loss 1.6503 (1.7975) Prec@1 63.281 (59.206) Prec@5 85.156 (80.942) Epoch: [36][1250/10010] Time 0.325 (0.333) Data 0.000 (0.002) Loss 1.8393 (1.7971) Prec@1 58.594 (59.195) Prec@5 78.125 (80.945) Epoch: [36][1260/10010] Time 0.326 (0.333) Data 0.001 (0.002) Loss 1.8783 (1.7974) Prec@1 59.375 (59.187) Prec@5 79.688 (80.944) Epoch: [36][1270/10010] Time 0.330 (0.333) Data 0.001 (0.002) Loss 1.6104 (1.7982) Prec@1 60.938 (59.173) Prec@5 82.031 (80.925) Epoch: [36][1280/10010] Time 0.323 (0.333) Data 0.000 (0.002) Loss 1.7266 (1.7974) Prec@1 60.938 (59.187) Prec@5 82.031 (80.935) Epoch: [36][1290/10010] Time 0.324 (0.333) Data 0.001 (0.002) Loss 1.8280 (1.7977) Prec@1 57.812 (59.186) Prec@5 78.125 (80.915) Epoch: [36][1300/10010] Time 0.331 (0.333) Data 0.001 (0.002) Loss 2.0446 (1.7977) Prec@1 50.000 (59.190) Prec@5 76.562 (80.917) Epoch: [36][1310/10010] Time 0.339 (0.333) Data 0.000 (0.002) Loss 2.0098 (1.7979) Prec@1 55.469 (59.185) Prec@5 77.344 (80.910) Epoch: [36][1320/10010] Time 0.340 (0.333) Data 0.001 (0.002) Loss 1.7448 (1.7978) Prec@1 62.500 (59.191) Prec@5 79.688 (80.904) Epoch: [36][1330/10010] Time 0.345 (0.333) Data 0.001 (0.002) Loss 1.5477 (1.7970) Prec@1 63.281 (59.197) Prec@5 85.156 (80.917) Epoch: [36][1340/10010] Time 0.321 (0.333) Data 0.001 (0.002) Loss 1.6320 (1.7973) Prec@1 61.719 (59.200) Prec@5 79.688 (80.914) Epoch: [36][1350/10010] Time 0.336 (0.333) Data 0.001 (0.002) Loss 1.6674 (1.7965) Prec@1 60.938 (59.210) Prec@5 84.375 (80.931) Epoch: [36][1360/10010] Time 0.339 (0.333) Data 0.000 (0.002) Loss 2.1718 (1.7962) Prec@1 47.656 (59.211) Prec@5 77.344 (80.933) Epoch: [36][1370/10010] Time 0.330 (0.333) Data 0.000 (0.002) Loss 1.5394 (1.7960) Prec@1 60.156 (59.209) Prec@5 85.156 (80.937) Epoch: [36][1380/10010] Time 0.325 (0.333) Data 0.001 (0.002) Loss 1.8209 (1.7955) Prec@1 58.594 (59.217) Prec@5 79.688 (80.943) Epoch: [36][1390/10010] Time 0.340 (0.333) Data 0.001 (0.002) Loss 1.7777 (1.7961) Prec@1 58.594 (59.211) Prec@5 78.906 (80.933) Epoch: [36][1400/10010] Time 0.323 (0.333) Data 0.001 (0.002) Loss 1.8171 (1.7961) Prec@1 57.031 (59.213) Prec@5 82.812 (80.931) Epoch: [36][1410/10010] Time 0.321 (0.333) Data 0.001 (0.002) Loss 1.7063 (1.7958) Prec@1 57.812 (59.222) Prec@5 84.375 (80.942) Epoch: [36][1420/10010] Time 0.326 (0.333) Data 0.001 (0.002) Loss 1.8917 (1.7955) Prec@1 61.719 (59.230) Prec@5 80.469 (80.946) Epoch: [36][1430/10010] Time 0.330 (0.333) Data 0.000 (0.002) Loss 2.0377 (1.7954) Prec@1 58.594 (59.238) Prec@5 77.344 (80.941) Epoch: [36][1440/10010] Time 0.330 (0.333) Data 0.001 (0.002) Loss 1.7481 (1.7961) Prec@1 62.500 (59.231) Prec@5 82.031 (80.930) Epoch: [36][1450/10010] Time 0.317 (0.333) Data 0.001 (0.002) Loss 2.1926 (1.7958) Prec@1 50.781 (59.233) Prec@5 77.344 (80.937) Epoch: [36][1460/10010] Time 0.326 (0.333) Data 0.001 (0.002) Loss 1.7090 (1.7956) Prec@1 60.156 (59.230) Prec@5 84.375 (80.941) Epoch: [36][1470/10010] Time 0.338 (0.333) Data 0.000 (0.002) Loss 1.8648 (1.7958) Prec@1 56.250 (59.226) Prec@5 81.250 (80.928) Epoch: [36][1480/10010] Time 0.332 (0.333) Data 0.000 (0.002) Loss 1.9345 (1.7955) Prec@1 58.594 (59.236) Prec@5 82.031 (80.932) Epoch: [36][1490/10010] Time 0.324 (0.333) Data 0.000 (0.002) Loss 1.5976 (1.7956) Prec@1 64.062 (59.227) Prec@5 83.594 (80.927) Epoch: [36][1500/10010] Time 0.331 (0.333) Data 0.001 (0.002) Loss 1.9063 (1.7956) Prec@1 56.250 (59.212) Prec@5 78.125 (80.921) Epoch: [36][1510/10010] Time 0.336 (0.333) Data 0.001 (0.002) Loss 2.0064 (1.7955) Prec@1 51.562 (59.212) Prec@5 78.125 (80.925) Epoch: [36][1520/10010] Time 0.350 (0.333) Data 0.001 (0.002) Loss 1.9584 (1.7960) Prec@1 57.031 (59.208) Prec@5 77.344 (80.918) Epoch: [36][1530/10010] Time 0.318 (0.333) Data 0.001 (0.002) Loss 1.8705 (1.7954) Prec@1 55.469 (59.221) Prec@5 79.688 (80.926) Epoch: [36][1540/10010] Time 0.328 (0.332) Data 0.001 (0.002) Loss 1.6415 (1.7950) Prec@1 64.062 (59.225) Prec@5 84.375 (80.937) Epoch: [36][1550/10010] Time 0.342 (0.332) Data 0.001 (0.002) Loss 1.7371 (1.7957) Prec@1 60.156 (59.206) Prec@5 79.688 (80.930) Epoch: [36][1560/10010] Time 0.321 (0.332) Data 0.001 (0.002) Loss 1.8927 (1.7959) Prec@1 57.812 (59.190) Prec@5 78.125 (80.924) Epoch: [36][1570/10010] Time 0.326 (0.332) Data 0.001 (0.002) Loss 1.8860 (1.7961) Prec@1 57.031 (59.186) Prec@5 78.125 (80.911) Epoch: [36][1580/10010] Time 0.326 (0.332) Data 0.000 (0.002) Loss 1.9102 (1.7966) Prec@1 53.906 (59.182) Prec@5 78.906 (80.896) Epoch: [36][1590/10010] Time 0.323 (0.332) Data 0.001 (0.002) Loss 1.5344 (1.7960) Prec@1 59.375 (59.182) Prec@5 85.938 (80.910) Epoch: [36][1600/10010] Time 0.338 (0.332) Data 0.001 (0.002) Loss 1.7052 (1.7959) Prec@1 60.938 (59.179) Prec@5 85.156 (80.910) Epoch: [36][1610/10010] Time 0.328 (0.332) Data 0.001 (0.002) Loss 2.0574 (1.7959) Prec@1 56.250 (59.182) Prec@5 75.781 (80.910) Epoch: [36][1620/10010] Time 0.327 (0.332) Data 0.001 (0.002) Loss 1.8589 (1.7957) Prec@1 57.812 (59.191) Prec@5 78.125 (80.911) Epoch: [36][1630/10010] Time 0.337 (0.332) Data 0.001 (0.002) Loss 1.9213 (1.7960) Prec@1 57.031 (59.195) Prec@5 74.219 (80.907) Epoch: [36][1640/10010] Time 0.328 (0.332) Data 0.001 (0.002) Loss 1.8009 (1.7961) Prec@1 59.375 (59.189) Prec@5 79.688 (80.906) Epoch: [36][1650/10010] Time 0.327 (0.332) Data 0.001 (0.002) Loss 1.8844 (1.7962) Prec@1 57.812 (59.195) Prec@5 79.688 (80.914) Epoch: [36][1660/10010] Time 0.328 (0.332) Data 0.000 (0.002) Loss 1.7502 (1.7961) Prec@1 64.844 (59.200) Prec@5 81.250 (80.915) Epoch: [36][1670/10010] Time 0.323 (0.332) Data 0.001 (0.002) Loss 2.2379 (1.7962) Prec@1 55.469 (59.200) Prec@5 73.438 (80.914) Epoch: [36][1680/10010] Time 0.327 (0.332) Data 0.000 (0.002) Loss 1.6891 (1.7959) Prec@1 67.188 (59.212) Prec@5 84.375 (80.918) Epoch: [36][1690/10010] Time 0.330 (0.332) Data 0.001 (0.002) Loss 2.0223 (1.7958) Prec@1 56.250 (59.215) Prec@5 77.344 (80.920) Epoch: [36][1700/10010] Time 0.327 (0.332) Data 0.001 (0.002) Loss 1.6739 (1.7959) Prec@1 58.594 (59.212) Prec@5 81.250 (80.923) Epoch: [36][1710/10010] Time 0.324 (0.332) Data 0.001 (0.002) Loss 1.7054 (1.7960) Prec@1 61.719 (59.207) Prec@5 84.375 (80.924) Epoch: [36][1720/10010] Time 0.330 (0.332) Data 0.001 (0.002) Loss 1.7278 (1.7964) Prec@1 62.500 (59.202) Prec@5 82.031 (80.918) Epoch: [36][1730/10010] Time 0.327 (0.332) Data 0.001 (0.002) Loss 1.9313 (1.7970) Prec@1 57.031 (59.199) Prec@5 81.250 (80.916) Epoch: [36][1740/10010] Time 0.339 (0.332) Data 0.001 (0.002) Loss 1.8051 (1.7966) Prec@1 59.375 (59.206) Prec@5 81.250 (80.924) Epoch: [36][1750/10010] Time 0.330 (0.332) Data 0.001 (0.002) Loss 1.7870 (1.7971) Prec@1 58.594 (59.186) Prec@5 82.031 (80.914) Epoch: [36][1760/10010] Time 0.329 (0.332) Data 0.001 (0.002) Loss 1.6695 (1.7968) Prec@1 56.250 (59.185) Prec@5 78.906 (80.912) Epoch: [36][1770/10010] Time 0.326 (0.332) Data 0.000 (0.002) Loss 1.8417 (1.7964) Prec@1 54.688 (59.189) Prec@5 78.906 (80.921) Epoch: [36][1780/10010] Time 0.325 (0.332) Data 0.000 (0.002) Loss 1.6986 (1.7969) Prec@1 60.156 (59.182) Prec@5 78.906 (80.916) Epoch: [36][1790/10010] Time 0.327 (0.332) Data 0.000 (0.002) Loss 1.7802 (1.7969) Prec@1 58.594 (59.181) Prec@5 78.906 (80.917) Epoch: [36][1800/10010] Time 0.342 (0.332) Data 0.001 (0.002) Loss 1.5610 (1.7963) Prec@1 63.281 (59.203) Prec@5 82.812 (80.923) Epoch: [36][1810/10010] Time 0.331 (0.332) Data 0.000 (0.002) Loss 1.8583 (1.7966) Prec@1 56.250 (59.204) Prec@5 82.031 (80.917) Epoch: [36][1820/10010] Time 0.315 (0.332) Data 0.001 (0.002) Loss 1.7534 (1.7964) Prec@1 60.938 (59.212) Prec@5 82.031 (80.921) Epoch: [36][1830/10010] Time 0.325 (0.332) Data 0.001 (0.002) Loss 1.7819 (1.7969) Prec@1 57.031 (59.204) Prec@5 80.469 (80.917) Epoch: [36][1840/10010] Time 0.325 (0.332) Data 0.001 (0.002) Loss 1.8295 (1.7968) Prec@1 57.812 (59.192) Prec@5 80.469 (80.922) Epoch: [36][1850/10010] Time 0.339 (0.332) Data 0.001 (0.002) Loss 1.5337 (1.7969) Prec@1 65.625 (59.188) Prec@5 87.500 (80.919) Epoch: [36][1860/10010] Time 0.320 (0.332) Data 0.001 (0.002) Loss 1.6557 (1.7971) Prec@1 58.594 (59.184) Prec@5 82.031 (80.920) Epoch: [36][1870/10010] Time 0.323 (0.332) Data 0.001 (0.002) Loss 2.0593 (1.7973) Prec@1 54.688 (59.179) Prec@5 78.125 (80.918) Epoch: [36][1880/10010] Time 0.333 (0.332) Data 0.001 (0.002) Loss 1.6003 (1.7968) Prec@1 60.938 (59.175) Prec@5 82.812 (80.929) Epoch: [36][1890/10010] Time 0.332 (0.332) Data 0.001 (0.002) Loss 1.8880 (1.7967) Prec@1 57.812 (59.176) Prec@5 80.469 (80.929) Epoch: [36][1900/10010] Time 0.326 (0.332) Data 0.001 (0.002) Loss 1.8122 (1.7966) Prec@1 57.031 (59.173) Prec@5 78.125 (80.929) Epoch: [36][1910/10010] Time 0.326 (0.332) Data 0.000 (0.002) Loss 1.9667 (1.7969) Prec@1 60.156 (59.169) Prec@5 78.906 (80.924) Epoch: [36][1920/10010] Time 0.344 (0.332) Data 0.001 (0.002) Loss 1.7493 (1.7968) Prec@1 57.031 (59.168) Prec@5 85.156 (80.921) Epoch: [36][1930/10010] Time 0.334 (0.332) Data 0.001 (0.002) Loss 1.9331 (1.7971) Prec@1 56.250 (59.167) Prec@5 74.219 (80.914) Epoch: [36][1940/10010] Time 0.339 (0.332) Data 0.001 (0.002) Loss 2.1215 (1.7972) Prec@1 60.938 (59.171) Prec@5 74.219 (80.912) Epoch: [36][1950/10010] Time 0.319 (0.332) Data 0.001 (0.002) Loss 1.6995 (1.7970) Prec@1 62.500 (59.168) Prec@5 81.250 (80.918) Epoch: [36][1960/10010] Time 0.328 (0.332) Data 0.001 (0.002) Loss 1.8039 (1.7970) Prec@1 58.594 (59.171) Prec@5 78.906 (80.916) Epoch: [36][1970/10010] Time 0.322 (0.332) Data 0.001 (0.002) Loss 2.0783 (1.7972) Prec@1 52.344 (59.162) Prec@5 75.781 (80.916) Epoch: [36][1980/10010] Time 0.325 (0.332) Data 0.000 (0.002) Loss 1.5853 (1.7972) Prec@1 64.844 (59.164) Prec@5 83.594 (80.917) Epoch: [36][1990/10010] Time 0.325 (0.332) Data 0.001 (0.002) Loss 1.6822 (1.7974) Prec@1 67.188 (59.166) Prec@5 82.031 (80.912) Epoch: [36][2000/10010] Time 0.327 (0.332) Data 0.000 (0.002) Loss 1.6762 (1.7975) Prec@1 57.812 (59.158) Prec@5 84.375 (80.910) Epoch: [36][2010/10010] Time 0.336 (0.332) Data 0.000 (0.002) Loss 1.8334 (1.7977) Prec@1 57.031 (59.153) Prec@5 78.125 (80.908) Epoch: [36][2020/10010] Time 0.342 (0.332) Data 0.000 (0.002) Loss 1.7862 (1.7977) Prec@1 57.812 (59.149) Prec@5 81.250 (80.911) Epoch: [36][2030/10010] Time 0.332 (0.332) Data 0.001 (0.002) Loss 1.6543 (1.7978) Prec@1 62.500 (59.152) Prec@5 82.031 (80.906) Epoch: [36][2040/10010] Time 0.322 (0.332) Data 0.001 (0.002) Loss 1.9495 (1.7982) Prec@1 60.156 (59.152) Prec@5 78.906 (80.902) Epoch: [36][2050/10010] Time 0.325 (0.332) Data 0.001 (0.002) Loss 1.4375 (1.7979) Prec@1 67.188 (59.165) Prec@5 87.500 (80.906) Epoch: [36][2060/10010] Time 0.319 (0.332) Data 0.001 (0.002) Loss 1.6445 (1.7979) Prec@1 63.281 (59.167) Prec@5 85.156 (80.905) Epoch: [36][2070/10010] Time 0.339 (0.332) Data 0.001 (0.002) Loss 1.6422 (1.7977) Prec@1 54.688 (59.165) Prec@5 82.812 (80.903) Epoch: [36][2080/10010] Time 0.329 (0.332) Data 0.001 (0.002) Loss 1.7271 (1.7981) Prec@1 60.156 (59.153) Prec@5 83.594 (80.902) Epoch: [36][2090/10010] Time 0.326 (0.331) Data 0.001 (0.002) Loss 2.0639 (1.7982) Prec@1 51.562 (59.151) Prec@5 74.219 (80.900) Epoch: [36][2100/10010] Time 0.335 (0.331) Data 0.001 (0.002) Loss 1.8105 (1.7982) Prec@1 56.250 (59.148) Prec@5 82.031 (80.902) /data/vision/torralba/deepscene/lib/anaconda2/lib/python2.7/site-packages/PIL/TiffImagePlugin.py:692: UserWarning: Possibly corrupt EXIF data. Expecting to read 2555904 bytes but only got 0. Skipping tag 0 "Skipping tag %s" % (size, len(data), tag)) Epoch: [36][2110/10010] Time 0.323 (0.331) Data 0.000 (0.002) Loss 1.5010 (1.7980) Prec@1 65.625 (59.147) Prec@5 87.500 (80.905) Epoch: [36][2120/10010] Time 0.337 (0.331) Data 0.001 (0.002) Loss 1.6177 (1.7980) Prec@1 62.500 (59.146) Prec@5 84.375 (80.903) Epoch: [36][2130/10010] Time 0.337 (0.331) Data 0.001 (0.002) Loss 1.8903 (1.7981) Prec@1 57.812 (59.147) Prec@5 78.125 (80.904) Epoch: [36][2140/10010] Time 0.325 (0.331) Data 0.001 (0.002) Loss 1.7194 (1.7981) Prec@1 53.906 (59.146) Prec@5 84.375 (80.903) Epoch: [36][2150/10010] Time 0.339 (0.331) Data 0.001 (0.002) Loss 1.5661 (1.7982) Prec@1 59.375 (59.145) Prec@5 88.281 (80.899) Epoch: [36][2160/10010] Time 0.325 (0.331) Data 0.000 (0.002) Loss 1.5565 (1.7978) Prec@1 64.062 (59.150) Prec@5 84.375 (80.907) Epoch: [36][2170/10010] Time 0.344 (0.331) Data 0.001 (0.002) Loss 1.7675 (1.7980) Prec@1 56.250 (59.152) Prec@5 86.719 (80.906) Epoch: [36][2180/10010] Time 0.326 (0.331) Data 0.000 (0.002) Loss 1.7990 (1.7979) Prec@1 58.594 (59.154) Prec@5 83.594 (80.911) Epoch: [36][2190/10010] Time 0.336 (0.331) Data 0.001 (0.002) Loss 1.8236 (1.7976) Prec@1 57.812 (59.159) Prec@5 79.688 (80.917) Epoch: [36][2200/10010] Time 0.330 (0.331) Data 0.001 (0.002) Loss 1.8409 (1.7976) Prec@1 61.719 (59.159) Prec@5 74.219 (80.920) Epoch: [36][2210/10010] Time 0.324 (0.331) Data 0.001 (0.002) Loss 1.5156 (1.7978) Prec@1 64.062 (59.160) Prec@5 87.500 (80.918) Epoch: [36][2220/10010] Time 0.337 (0.331) Data 0.000 (0.002) Loss 1.9026 (1.7971) Prec@1 50.000 (59.169) Prec@5 79.688 (80.922) Epoch: [36][2230/10010] Time 0.330 (0.331) Data 0.000 (0.002) Loss 1.7715 (1.7971) Prec@1 60.938 (59.169) Prec@5 82.031 (80.924) Epoch: [36][2240/10010] Time 0.326 (0.331) Data 0.001 (0.002) Loss 1.5046 (1.7975) Prec@1 64.844 (59.162) Prec@5 87.500 (80.924) Epoch: [36][2250/10010] Time 0.327 (0.331) Data 0.001 (0.002) Loss 1.6501 (1.7973) Prec@1 57.812 (59.164) Prec@5 82.812 (80.930) Epoch: [36][2260/10010] Time 0.334 (0.331) Data 0.001 (0.002) Loss 1.7353 (1.7971) Prec@1 63.281 (59.168) Prec@5 83.594 (80.931) Epoch: [36][2270/10010] Time 0.335 (0.331) Data 0.000 (0.002) Loss 1.6804 (1.7977) Prec@1 61.719 (59.157) Prec@5 78.906 (80.923) Epoch: [36][2280/10010] Time 0.315 (0.331) Data 0.001 (0.002) Loss 1.6582 (1.7976) Prec@1 57.812 (59.154) Prec@5 82.031 (80.925) Epoch: [36][2290/10010] Time 0.343 (0.331) Data 0.000 (0.002) Loss 1.9219 (1.7977) Prec@1 57.031 (59.156) Prec@5 76.562 (80.919) Epoch: [36][2300/10010] Time 0.319 (0.331) Data 0.000 (0.002) Loss 1.6431 (1.7977) Prec@1 67.969 (59.159) Prec@5 84.375 (80.919) Epoch: [36][2310/10010] Time 0.322 (0.331) Data 0.001 (0.002) Loss 1.9208 (1.7981) Prec@1 61.719 (59.156) Prec@5 75.000 (80.911) Epoch: [36][2320/10010] Time 0.319 (0.331) Data 0.001 (0.002) Loss 1.9508 (1.7983) Prec@1 56.250 (59.151) Prec@5 76.562 (80.906) Epoch: [36][2330/10010] Time 0.322 (0.331) Data 0.001 (0.002) Loss 1.5874 (1.7982) Prec@1 60.938 (59.156) Prec@5 83.594 (80.904) Epoch: [36][2340/10010] Time 0.326 (0.331) Data 0.000 (0.002) Loss 2.1303 (1.7984) Prec@1 50.000 (59.148) Prec@5 76.562 (80.897) Epoch: [36][2350/10010] Time 0.325 (0.331) Data 0.001 (0.002) Loss 1.8074 (1.7988) Prec@1 57.812 (59.144) Prec@5 79.688 (80.893) Epoch: [36][2360/10010] Time 0.320 (0.331) Data 0.001 (0.002) Loss 1.9611 (1.7991) Prec@1 56.250 (59.135) Prec@5 76.562 (80.892) Epoch: [36][2370/10010] Time 0.333 (0.331) Data 0.001 (0.002) Loss 1.3003 (1.7987) Prec@1 67.188 (59.141) Prec@5 89.062 (80.899) Epoch: [36][2380/10010] Time 0.325 (0.331) Data 0.001 (0.002) Loss 1.5268 (1.7986) Prec@1 60.156 (59.141) Prec@5 84.375 (80.901) Epoch: [36][2390/10010] Time 0.338 (0.331) Data 0.000 (0.002) Loss 2.0662 (1.7986) Prec@1 48.438 (59.140) Prec@5 78.906 (80.902) Epoch: [36][2400/10010] Time 0.329 (0.331) Data 0.001 (0.002) Loss 1.8217 (1.7984) Prec@1 60.938 (59.143) Prec@5 81.250 (80.901) Epoch: [36][2410/10010] Time 0.326 (0.331) Data 0.001 (0.002) Loss 1.7756 (1.7986) Prec@1 64.062 (59.139) Prec@5 82.031 (80.896) Epoch: [36][2420/10010] Time 0.341 (0.331) Data 0.000 (0.002) Loss 2.2424 (1.7990) Prec@1 48.438 (59.131) Prec@5 72.656 (80.888) Epoch: [36][2430/10010] Time 0.326 (0.331) Data 0.000 (0.002) Loss 1.7540 (1.7991) Prec@1 62.500 (59.138) Prec@5 78.906 (80.886) Epoch: [36][2440/10010] Time 0.336 (0.331) Data 0.001 (0.002) Loss 1.9121 (1.7988) Prec@1 53.125 (59.149) Prec@5 77.344 (80.888) Epoch: [36][2450/10010] Time 0.318 (0.331) Data 0.001 (0.002) Loss 1.9284 (1.7987) Prec@1 60.156 (59.150) Prec@5 75.781 (80.887) Epoch: [36][2460/10010] Time 0.326 (0.331) Data 0.001 (0.002) Loss 1.8950 (1.7990) Prec@1 56.250 (59.144) Prec@5 77.344 (80.880) Epoch: [36][2470/10010] Time 0.334 (0.331) Data 0.001 (0.002) Loss 1.9671 (1.7989) Prec@1 56.250 (59.143) Prec@5 78.125 (80.879) Epoch: [36][2480/10010] Time 0.324 (0.331) Data 0.001 (0.002) Loss 1.9507 (1.7991) Prec@1 51.562 (59.133) Prec@5 79.688 (80.876) Epoch: [36][2490/10010] Time 0.331 (0.331) Data 0.000 (0.002) Loss 2.2778 (1.7994) Prec@1 48.438 (59.127) Prec@5 75.000 (80.873) Epoch: [36][2500/10010] Time 0.330 (0.331) Data 0.001 (0.002) Loss 1.6294 (1.7993) Prec@1 65.625 (59.133) Prec@5 82.031 (80.871) Epoch: [36][2510/10010] Time 0.333 (0.331) Data 0.001 (0.002) Loss 1.8513 (1.7993) Prec@1 60.938 (59.130) Prec@5 82.812 (80.867) Epoch: [36][2520/10010] Time 0.340 (0.331) Data 0.001 (0.002) Loss 1.5602 (1.7990) Prec@1 63.281 (59.130) Prec@5 84.375 (80.871) Epoch: [36][2530/10010] Time 0.326 (0.331) Data 0.001 (0.002) Loss 1.7112 (1.7988) Prec@1 64.844 (59.139) Prec@5 82.812 (80.874) Epoch: [36][2540/10010] Time 0.331 (0.331) Data 0.000 (0.002) Loss 1.6815 (1.7985) Prec@1 57.812 (59.140) Prec@5 79.688 (80.878) Epoch: [36][2550/10010] Time 0.325 (0.331) Data 0.000 (0.002) Loss 1.6536 (1.7982) Prec@1 57.812 (59.145) Prec@5 83.594 (80.882) Epoch: [36][2560/10010] Time 0.337 (0.331) Data 0.001 (0.002) Loss 1.6021 (1.7983) Prec@1 67.969 (59.146) Prec@5 81.250 (80.881) Epoch: [36][2570/10010] Time 0.321 (0.331) Data 0.001 (0.002) Loss 1.6446 (1.7982) Prec@1 62.500 (59.140) Prec@5 83.594 (80.882) Epoch: [36][2580/10010] Time 0.334 (0.331) Data 0.000 (0.002) Loss 1.5923 (1.7983) Prec@1 55.469 (59.133) Prec@5 87.500 (80.883) Epoch: [36][2590/10010] Time 0.339 (0.331) Data 0.000 (0.002) Loss 1.7358 (1.7981) Prec@1 57.812 (59.137) Prec@5 82.812 (80.884) Epoch: [36][2600/10010] Time 0.339 (0.331) Data 0.001 (0.002) Loss 1.7659 (1.7981) Prec@1 65.625 (59.142) Prec@5 82.031 (80.883) Epoch: [36][2610/10010] Time 0.322 (0.331) Data 0.001 (0.002) Loss 1.4773 (1.7973) Prec@1 66.406 (59.151) Prec@5 85.938 (80.893) Epoch: [36][2620/10010] Time 0.323 (0.331) Data 0.000 (0.002) Loss 1.7765 (1.7972) Prec@1 62.500 (59.148) Prec@5 81.250 (80.891) Epoch: [36][2630/10010] Time 0.337 (0.331) Data 0.000 (0.001) Loss 2.3297 (1.7974) Prec@1 42.969 (59.150) Prec@5 73.438 (80.887) Epoch: [36][2640/10010] Time 0.330 (0.331) Data 0.001 (0.001) Loss 1.5150 (1.7976) Prec@1 63.281 (59.154) Prec@5 84.375 (80.881) Epoch: [36][2650/10010] Time 0.338 (0.331) Data 0.000 (0.001) Loss 1.8744 (1.7980) Prec@1 62.500 (59.153) Prec@5 79.688 (80.874) Epoch: [36][2660/10010] Time 0.324 (0.331) Data 0.000 (0.001) Loss 1.5267 (1.7979) Prec@1 63.281 (59.154) Prec@5 88.281 (80.884) Epoch: [36][2670/10010] Time 0.326 (0.331) Data 0.000 (0.001) Loss 1.5826 (1.7976) Prec@1 67.969 (59.161) Prec@5 83.594 (80.887) Epoch: [36][2680/10010] Time 0.344 (0.331) Data 0.001 (0.001) Loss 1.7268 (1.7975) Prec@1 63.281 (59.160) Prec@5 81.250 (80.887) Epoch: [36][2690/10010] Time 0.337 (0.331) Data 0.001 (0.001) Loss 1.8576 (1.7975) Prec@1 57.812 (59.160) Prec@5 82.031 (80.885) Epoch: [36][2700/10010] Time 0.319 (0.331) Data 0.001 (0.001) Loss 1.8340 (1.7974) Prec@1 60.156 (59.162) Prec@5 79.688 (80.890) Epoch: [36][2710/10010] Time 0.347 (0.331) Data 0.000 (0.001) Loss 1.8362 (1.7972) Prec@1 62.500 (59.166) Prec@5 78.906 (80.890) Epoch: [36][2720/10010] Time 0.317 (0.331) Data 0.001 (0.001) Loss 1.9851 (1.7975) Prec@1 56.250 (59.161) Prec@5 80.469 (80.893) Epoch: [36][2730/10010] Time 0.333 (0.331) Data 0.000 (0.001) Loss 1.8290 (1.7975) Prec@1 58.594 (59.160) Prec@5 81.250 (80.894) Epoch: [36][2740/10010] Time 0.340 (0.331) Data 0.001 (0.001) Loss 1.4918 (1.7972) Prec@1 62.500 (59.161) Prec@5 89.062 (80.897) Epoch: [36][2750/10010] Time 0.326 (0.331) Data 0.001 (0.001) Loss 1.7649 (1.7973) Prec@1 58.594 (59.157) Prec@5 79.688 (80.893) Epoch: [36][2760/10010] Time 0.340 (0.331) Data 0.000 (0.001) Loss 1.8371 (1.7973) Prec@1 60.156 (59.156) Prec@5 78.906 (80.891) Epoch: [36][2770/10010] Time 0.345 (0.331) Data 0.000 (0.001) Loss 1.4955 (1.7974) Prec@1 64.844 (59.153) Prec@5 84.375 (80.890) Epoch: [36][2780/10010] Time 0.336 (0.331) Data 0.000 (0.001) Loss 1.8454 (1.7974) Prec@1 56.250 (59.150) Prec@5 82.031 (80.888) Epoch: [36][2790/10010] Time 0.326 (0.331) Data 0.001 (0.001) Loss 1.6593 (1.7974) Prec@1 60.938 (59.153) Prec@5 82.031 (80.891) Epoch: [36][2800/10010] Time 0.319 (0.331) Data 0.001 (0.001) Loss 1.6807 (1.7974) Prec@1 61.719 (59.157) Prec@5 81.250 (80.896) Epoch: [36][2810/10010] Time 0.322 (0.331) Data 0.001 (0.001) Loss 1.6495 (1.7978) Prec@1 63.281 (59.157) Prec@5 85.938 (80.891) Epoch: [36][2820/10010] Time 0.327 (0.331) Data 0.000 (0.001) Loss 1.9472 (1.7980) Prec@1 58.594 (59.151) Prec@5 78.125 (80.888) Epoch: [36][2830/10010] Time 0.329 (0.331) Data 0.001 (0.001) Loss 1.6235 (1.7978) Prec@1 68.750 (59.162) Prec@5 80.469 (80.885) Epoch: [36][2840/10010] Time 0.335 (0.331) Data 0.001 (0.001) Loss 1.7115 (1.7980) Prec@1 60.938 (59.159) Prec@5 83.594 (80.882) Epoch: [36][2850/10010] Time 0.331 (0.331) Data 0.000 (0.001) Loss 2.0968 (1.7982) Prec@1 50.781 (59.162) Prec@5 75.000 (80.881) Epoch: [36][2860/10010] Time 0.320 (0.331) Data 0.001 (0.001) Loss 1.7974 (1.7982) Prec@1 61.719 (59.161) Prec@5 82.031 (80.883) Epoch: [36][2870/10010] Time 0.325 (0.331) Data 0.001 (0.001) Loss 2.1359 (1.7984) Prec@1 50.781 (59.159) Prec@5 75.781 (80.882) Epoch: [36][2880/10010] Time 0.329 (0.331) Data 0.001 (0.001) Loss 1.6183 (1.7983) Prec@1 62.500 (59.161) Prec@5 82.031 (80.883) Epoch: [36][2890/10010] Time 0.324 (0.331) Data 0.001 (0.001) Loss 1.6017 (1.7978) Prec@1 59.375 (59.169) Prec@5 81.250 (80.888) Epoch: [36][2900/10010] Time 0.324 (0.331) Data 0.001 (0.001) Loss 1.8747 (1.7978) Prec@1 61.719 (59.170) Prec@5 78.125 (80.889) Epoch: [36][2910/10010] Time 0.316 (0.331) Data 0.000 (0.001) Loss 1.8864 (1.7977) Prec@1 63.281 (59.175) Prec@5 80.469 (80.893) Epoch: [36][2920/10010] Time 0.321 (0.331) Data 0.001 (0.001) Loss 1.4783 (1.7977) Prec@1 66.406 (59.175) Prec@5 86.719 (80.892) Epoch: [36][2930/10010] Time 0.340 (0.331) Data 0.001 (0.001) Loss 1.7369 (1.7978) Prec@1 58.594 (59.175) Prec@5 80.469 (80.892) Epoch: [36][2940/10010] Time 0.342 (0.331) Data 0.001 (0.001) Loss 1.8468 (1.7977) Prec@1 59.375 (59.175) Prec@5 77.344 (80.891) Epoch: [36][2950/10010] Time 0.328 (0.331) Data 0.001 (0.001) Loss 1.7459 (1.7980) Prec@1 64.062 (59.171) Prec@5 80.469 (80.890) Epoch: [36][2960/10010] Time 0.337 (0.331) Data 0.001 (0.001) Loss 1.9681 (1.7981) Prec@1 56.250 (59.164) Prec@5 80.469 (80.889) Epoch: [36][2970/10010] Time 0.338 (0.331) Data 0.000 (0.001) Loss 1.6715 (1.7980) Prec@1 67.188 (59.165) Prec@5 83.594 (80.890) Epoch: [36][2980/10010] Time 0.329 (0.331) Data 0.001 (0.001) Loss 1.9114 (1.7983) Prec@1 57.031 (59.160) Prec@5 80.469 (80.887) Epoch: [36][2990/10010] Time 0.327 (0.331) Data 0.000 (0.001) Loss 1.6229 (1.7984) Prec@1 61.719 (59.163) Prec@5 81.250 (80.885) Epoch: [36][3000/10010] Time 0.331 (0.331) Data 0.001 (0.001) Loss 1.8407 (1.7985) Prec@1 59.375 (59.162) Prec@5 85.156 (80.888) Epoch: [36][3010/10010] Time 0.327 (0.331) Data 0.001 (0.001) Loss 1.8119 (1.7987) Prec@1 57.812 (59.157) Prec@5 78.906 (80.885) Epoch: [36][3020/10010] Time 0.325 (0.331) Data 0.001 (0.001) Loss 1.7181 (1.7986) Prec@1 63.281 (59.158) Prec@5 79.688 (80.885) Epoch: [36][3030/10010] Time 0.327 (0.331) Data 0.000 (0.001) Loss 1.7927 (1.7984) Prec@1 54.688 (59.160) Prec@5 81.250 (80.888) Epoch: [36][3040/10010] Time 0.342 (0.331) Data 0.001 (0.001) Loss 2.1589 (1.7984) Prec@1 48.438 (59.157) Prec@5 78.906 (80.888) Epoch: [36][3050/10010] Time 0.334 (0.331) Data 0.000 (0.001) Loss 2.2344 (1.7984) Prec@1 50.781 (59.161) Prec@5 75.781 (80.886) Epoch: [36][3060/10010] Time 0.324 (0.331) Data 0.001 (0.001) Loss 1.7224 (1.7984) Prec@1 60.156 (59.164) Prec@5 78.125 (80.890) Epoch: [36][3070/10010] Time 0.342 (0.331) Data 0.001 (0.001) Loss 1.6840 (1.7983) Prec@1 64.062 (59.165) Prec@5 79.688 (80.892) Epoch: [36][3080/10010] Time 0.347 (0.331) Data 0.001 (0.001) Loss 1.8256 (1.7985) Prec@1 57.812 (59.160) Prec@5 78.906 (80.887) Epoch: [36][3090/10010] Time 0.320 (0.331) Data 0.001 (0.001) Loss 1.7617 (1.7985) Prec@1 60.938 (59.162) Prec@5 79.688 (80.884) Epoch: [36][3100/10010] Time 0.325 (0.331) Data 0.000 (0.001) Loss 1.6370 (1.7987) Prec@1 59.375 (59.154) Prec@5 85.156 (80.882) Epoch: [36][3110/10010] Time 0.329 (0.331) Data 0.001 (0.001) Loss 1.6523 (1.7985) Prec@1 60.156 (59.161) Prec@5 82.031 (80.883) Epoch: [36][3120/10010] Time 0.334 (0.331) Data 0.001 (0.001) Loss 1.7987 (1.7989) Prec@1 58.594 (59.154) Prec@5 84.375 (80.879) Epoch: [36][3130/10010] Time 0.326 (0.331) Data 0.000 (0.001) Loss 2.0525 (1.7989) Prec@1 57.031 (59.153) Prec@5 78.906 (80.878) Epoch: [36][3140/10010] Time 0.330 (0.331) Data 0.006 (0.001) Loss 1.7462 (1.7992) Prec@1 58.594 (59.146) Prec@5 82.031 (80.871) Epoch: [36][3150/10010] Time 0.332 (0.331) Data 0.001 (0.001) Loss 1.6296 (1.7990) Prec@1 62.500 (59.150) Prec@5 81.250 (80.872) Epoch: [36][3160/10010] Time 0.316 (0.331) Data 0.000 (0.001) Loss 2.3171 (1.7990) Prec@1 51.562 (59.149) Prec@5 71.094 (80.872) Epoch: [36][3170/10010] Time 0.319 (0.331) Data 0.000 (0.001) Loss 1.6232 (1.7989) Prec@1 69.531 (59.154) Prec@5 82.031 (80.875) Epoch: [36][3180/10010] Time 0.335 (0.331) Data 0.001 (0.001) Loss 1.8818 (1.7989) Prec@1 58.594 (59.157) Prec@5 75.781 (80.872) Epoch: [36][3190/10010] Time 0.319 (0.331) Data 0.001 (0.001) Loss 1.9253 (1.7988) Prec@1 58.594 (59.158) Prec@5 74.219 (80.873) Epoch: [36][3200/10010] Time 0.325 (0.331) Data 0.001 (0.001) Loss 1.9729 (1.7988) Prec@1 55.469 (59.157) Prec@5 74.219 (80.872) Epoch: [36][3210/10010] Time 0.332 (0.331) Data 0.001 (0.001) Loss 1.8094 (1.7989) Prec@1 58.594 (59.157) Prec@5 81.250 (80.870) Epoch: [36][3220/10010] Time 0.341 (0.331) Data 0.001 (0.001) Loss 1.8007 (1.7989) Prec@1 54.688 (59.159) Prec@5 82.031 (80.872) Epoch: [36][3230/10010] Time 0.343 (0.331) Data 0.001 (0.001) Loss 1.7487 (1.7988) Prec@1 56.250 (59.158) Prec@5 82.031 (80.875) Epoch: [36][3240/10010] Time 0.323 (0.331) Data 0.001 (0.001) Loss 1.8596 (1.7987) Prec@1 57.031 (59.158) Prec@5 79.688 (80.880) Epoch: [36][3250/10010] Time 0.328 (0.331) Data 0.001 (0.001) Loss 1.8882 (1.7989) Prec@1 59.375 (59.156) Prec@5 77.344 (80.873) Epoch: [36][3260/10010] Time 0.322 (0.331) Data 0.001 (0.001) Loss 1.6426 (1.7992) Prec@1 59.375 (59.157) Prec@5 84.375 (80.867) Epoch: [36][3270/10010] Time 0.319 (0.331) Data 0.000 (0.001) Loss 2.0298 (1.7992) Prec@1 54.688 (59.157) Prec@5 76.562 (80.864) Epoch: [36][3280/10010] Time 0.326 (0.331) Data 0.001 (0.001) Loss 1.8363 (1.7991) Prec@1 64.844 (59.160) Prec@5 78.125 (80.862) Epoch: [36][3290/10010] Time 0.321 (0.331) Data 0.001 (0.001) Loss 1.6742 (1.7989) Prec@1 61.719 (59.163) Prec@5 82.031 (80.867) Epoch: [36][3300/10010] Time 0.342 (0.331) Data 0.000 (0.001) Loss 1.7717 (1.7990) Prec@1 59.375 (59.160) Prec@5 80.469 (80.865) Epoch: [36][3310/10010] Time 0.321 (0.331) Data 0.001 (0.001) Loss 1.5207 (1.7989) Prec@1 61.719 (59.161) Prec@5 83.594 (80.866) Epoch: [36][3320/10010] Time 0.339 (0.331) Data 0.001 (0.001) Loss 2.1494 (1.7993) Prec@1 57.812 (59.157) Prec@5 75.781 (80.858) Epoch: [36][3330/10010] Time 0.329 (0.331) Data 0.001 (0.001) Loss 1.4494 (1.7995) Prec@1 65.625 (59.154) Prec@5 86.719 (80.856) Epoch: [36][3340/10010] Time 0.328 (0.331) Data 0.001 (0.001) Loss 1.4107 (1.7993) Prec@1 59.375 (59.153) Prec@5 89.062 (80.859) Epoch: [36][3350/10010] Time 0.336 (0.331) Data 0.001 (0.001) Loss 2.2740 (1.7998) Prec@1 48.438 (59.144) Prec@5 71.875 (80.848) Epoch: [36][3360/10010] Time 0.327 (0.331) Data 0.001 (0.001) Loss 1.7535 (1.7996) Prec@1 56.250 (59.144) Prec@5 80.469 (80.848) Epoch: [36][3370/10010] Time 0.329 (0.331) Data 0.000 (0.001) Loss 2.1679 (1.7998) Prec@1 57.812 (59.145) Prec@5 75.781 (80.844) Epoch: [36][3380/10010] Time 0.328 (0.331) Data 0.001 (0.001) Loss 1.8844 (1.7998) Prec@1 51.562 (59.145) Prec@5 83.594 (80.846) Epoch: [36][3390/10010] Time 0.328 (0.331) Data 0.000 (0.001) Loss 1.5325 (1.7999) Prec@1 58.594 (59.138) Prec@5 87.500 (80.845) Epoch: [36][3400/10010] Time 0.338 (0.331) Data 0.001 (0.001) Loss 1.9438 (1.8000) Prec@1 56.250 (59.133) Prec@5 74.219 (80.839) Epoch: [36][3410/10010] Time 0.341 (0.331) Data 0.001 (0.001) Loss 1.9413 (1.8000) Prec@1 58.594 (59.134) Prec@5 79.688 (80.842) Epoch: [36][3420/10010] Time 0.343 (0.331) Data 0.001 (0.001) Loss 1.7525 (1.7998) Prec@1 61.719 (59.140) Prec@5 82.812 (80.844) Epoch: [36][3430/10010] Time 0.319 (0.331) Data 0.000 (0.001) Loss 1.7653 (1.7999) Prec@1 60.938 (59.137) Prec@5 82.812 (80.843) Epoch: [36][3440/10010] Time 0.344 (0.331) Data 0.000 (0.001) Loss 1.9736 (1.7998) Prec@1 53.906 (59.141) Prec@5 78.906 (80.845) Epoch: [36][3450/10010] Time 0.328 (0.331) Data 0.000 (0.001) Loss 1.9714 (1.8000) Prec@1 55.469 (59.138) Prec@5 79.688 (80.840) Epoch: [36][3460/10010] Time 0.319 (0.331) Data 0.001 (0.001) Loss 1.7439 (1.8002) Prec@1 62.500 (59.136) Prec@5 80.469 (80.836) Epoch: [36][3470/10010] Time 0.322 (0.331) Data 0.000 (0.001) Loss 1.6913 (1.8003) Prec@1 60.156 (59.133) Prec@5 81.250 (80.835) Epoch: [36][3480/10010] Time 0.324 (0.331) Data 0.001 (0.001) Loss 1.6189 (1.8004) Prec@1 64.062 (59.132) Prec@5 81.250 (80.833) Epoch: [36][3490/10010] Time 0.326 (0.331) Data 0.001 (0.001) Loss 1.9613 (1.8006) Prec@1 58.594 (59.128) Prec@5 78.125 (80.828) Epoch: [36][3500/10010] Time 0.322 (0.333) Data 0.000 (0.001) Loss 1.6093 (1.8005) Prec@1 60.938 (59.128) Prec@5 86.719 (80.827) Epoch: [36][3510/10010] Time 0.324 (0.333) Data 0.000 (0.001) Loss 1.8419 (1.8005) Prec@1 58.594 (59.128) Prec@5 78.906 (80.825) Epoch: [36][3520/10010] Time 0.328 (0.333) Data 0.000 (0.001) Loss 2.0179 (1.8003) Prec@1 52.344 (59.136) Prec@5 75.000 (80.826) Epoch: [36][3530/10010] Time 0.323 (0.333) Data 0.001 (0.001) Loss 2.0675 (1.8005) Prec@1 55.469 (59.134) Prec@5 77.344 (80.822) Epoch: [36][3540/10010] Time 0.317 (0.333) Data 0.000 (0.001) Loss 2.0361 (1.8005) Prec@1 52.344 (59.132) Prec@5 78.125 (80.818) Epoch: [36][3550/10010] Time 0.315 (0.333) Data 0.001 (0.001) Loss 1.9975 (1.8003) Prec@1 53.906 (59.136) Prec@5 79.688 (80.822) Epoch: [36][3560/10010] Time 0.328 (0.333) Data 0.000 (0.001) Loss 1.8417 (1.8003) Prec@1 58.594 (59.137) Prec@5 79.688 (80.824) Epoch: [36][3570/10010] Time 0.326 (0.333) Data 0.001 (0.001) Loss 1.7578 (1.8003) Prec@1 58.594 (59.136) Prec@5 80.469 (80.824) Epoch: [36][3580/10010] Time 0.325 (0.333) Data 0.001 (0.001) Loss 1.7552 (1.8004) Prec@1 62.500 (59.134) Prec@5 82.031 (80.818) Epoch: [36][3590/10010] Time 0.330 (0.333) Data 0.001 (0.001) Loss 2.1425 (1.8004) Prec@1 52.344 (59.131) Prec@5 75.000 (80.821) Epoch: [36][3600/10010] Time 0.333 (0.333) Data 0.001 (0.001) Loss 1.9104 (1.8003) Prec@1 55.469 (59.133) Prec@5 78.906 (80.825) Epoch: [36][3610/10010] Time 0.331 (0.333) Data 0.001 (0.001) Loss 1.5223 (1.8002) Prec@1 65.625 (59.135) Prec@5 83.594 (80.822) Epoch: [36][3620/10010] Time 0.316 (0.333) Data 0.001 (0.001) Loss 1.6888 (1.8005) Prec@1 60.156 (59.131) Prec@5 83.594 (80.817) Epoch: [36][3630/10010] Time 0.331 (0.333) Data 0.001 (0.001) Loss 2.2607 (1.8008) Prec@1 53.125 (59.130) Prec@5 75.781 (80.815) Epoch: [36][3640/10010] Time 0.329 (0.333) Data 0.001 (0.001) Loss 1.7429 (1.8007) Prec@1 60.938 (59.128) Prec@5 81.250 (80.815) Epoch: [36][3650/10010] Time 0.325 (0.333) Data 0.001 (0.001) Loss 2.1415 (1.8006) Prec@1 54.688 (59.129) Prec@5 77.344 (80.817) Epoch: [36][3660/10010] Time 0.311 (0.333) Data 0.001 (0.001) Loss 1.9392 (1.8007) Prec@1 57.812 (59.122) Prec@5 78.906 (80.813) Epoch: [36][3670/10010] Time 0.338 (0.333) Data 0.001 (0.001) Loss 1.9758 (1.8009) Prec@1 52.344 (59.116) Prec@5 75.781 (80.809) Epoch: [36][3680/10010] Time 0.323 (0.333) Data 0.000 (0.001) Loss 1.8758 (1.8010) Prec@1 57.031 (59.111) Prec@5 75.781 (80.808) Epoch: [36][3690/10010] Time 0.324 (0.333) Data 0.001 (0.001) Loss 1.6800 (1.8011) Prec@1 56.250 (59.109) Prec@5 79.688 (80.804) Epoch: [36][3700/10010] Time 0.343 (0.333) Data 0.001 (0.001) Loss 1.6990 (1.8010) Prec@1 64.844 (59.114) Prec@5 81.250 (80.807) Epoch: [36][3710/10010] Time 0.338 (0.333) Data 0.001 (0.001) Loss 1.7368 (1.8010) Prec@1 57.812 (59.113) Prec@5 82.031 (80.806) Epoch: [36][3720/10010] Time 0.342 (0.333) Data 0.001 (0.001) Loss 1.6702 (1.8009) Prec@1 58.594 (59.114) Prec@5 80.469 (80.807) Epoch: [36][3730/10010] Time 0.326 (0.333) Data 0.000 (0.001) Loss 1.6898 (1.8007) Prec@1 61.719 (59.115) Prec@5 80.469 (80.806) Epoch: [36][3740/10010] Time 0.321 (0.333) Data 0.001 (0.001) Loss 1.8055 (1.8008) Prec@1 56.250 (59.114) Prec@5 79.688 (80.805) Epoch: [36][3750/10010] Time 0.317 (0.333) Data 0.001 (0.001) Loss 1.8735 (1.8007) Prec@1 60.156 (59.120) Prec@5 80.469 (80.807) Epoch: [36][3760/10010] Time 0.341 (0.333) Data 0.001 (0.001) Loss 1.6685 (1.8006) Prec@1 62.500 (59.125) Prec@5 83.594 (80.807) Epoch: [36][3770/10010] Time 0.325 (0.333) Data 0.001 (0.001) Loss 1.9620 (1.8006) Prec@1 54.688 (59.128) Prec@5 76.562 (80.804) Epoch: [36][3780/10010] Time 0.326 (0.333) Data 0.001 (0.001) Loss 1.6396 (1.8005) Prec@1 62.500 (59.132) Prec@5 85.938 (80.807) Epoch: [36][3790/10010] Time 0.330 (0.333) Data 0.000 (0.001) Loss 1.5739 (1.8004) Prec@1 58.594 (59.131) Prec@5 83.594 (80.806) Epoch: [36][3800/10010] Time 0.319 (0.333) Data 0.001 (0.001) Loss 1.8884 (1.8007) Prec@1 61.719 (59.125) Prec@5 84.375 (80.804) Epoch: [36][3810/10010] Time 0.341 (0.333) Data 0.001 (0.001) Loss 2.0569 (1.8007) Prec@1 50.781 (59.125) Prec@5 81.250 (80.806) Epoch: [36][3820/10010] Time 0.317 (0.333) Data 0.001 (0.001) Loss 1.6895 (1.8009) Prec@1 62.500 (59.124) Prec@5 80.469 (80.804) Epoch: [36][3830/10010] Time 0.323 (0.333) Data 0.001 (0.001) Loss 2.0040 (1.8013) Prec@1 53.125 (59.114) Prec@5 79.688 (80.798) Epoch: [36][3840/10010] Time 0.331 (0.333) Data 0.001 (0.001) Loss 1.7197 (1.8012) Prec@1 60.156 (59.121) Prec@5 79.688 (80.800) Epoch: [36][3850/10010] Time 0.343 (0.333) Data 0.001 (0.001) Loss 1.6524 (1.8013) Prec@1 60.156 (59.119) Prec@5 83.594 (80.801) Epoch: [36][3860/10010] Time 0.335 (0.333) Data 0.001 (0.001) Loss 1.9522 (1.8014) Prec@1 59.375 (59.119) Prec@5 76.562 (80.798) Epoch: [36][3870/10010] Time 0.330 (0.333) Data 0.000 (0.001) Loss 2.0475 (1.8015) Prec@1 57.812 (59.117) Prec@5 78.906 (80.797) Epoch: [36][3880/10010] Time 0.324 (0.333) Data 0.001 (0.001) Loss 1.7507 (1.8015) Prec@1 57.812 (59.115) Prec@5 81.250 (80.797) Epoch: [36][3890/10010] Time 0.328 (0.333) Data 0.000 (0.001) Loss 1.7651 (1.8018) Prec@1 59.375 (59.113) Prec@5 80.469 (80.788) Epoch: [36][3900/10010] Time 0.325 (0.333) Data 0.001 (0.001) Loss 1.8626 (1.8018) Prec@1 56.250 (59.115) Prec@5 80.469 (80.786) Epoch: [36][3910/10010] Time 0.331 (0.333) Data 0.001 (0.001) Loss 1.8233 (1.8017) Prec@1 56.250 (59.119) Prec@5 78.906 (80.790) Epoch: [36][3920/10010] Time 0.328 (0.333) Data 0.001 (0.001) Loss 1.6997 (1.8016) Prec@1 61.719 (59.122) Prec@5 83.594 (80.791) Epoch: [36][3930/10010] Time 0.324 (0.333) Data 0.000 (0.001) Loss 2.1335 (1.8018) Prec@1 52.344 (59.118) Prec@5 75.781 (80.786) Epoch: [36][3940/10010] Time 0.339 (0.333) Data 0.000 (0.001) Loss 1.6517 (1.8018) Prec@1 64.062 (59.118) Prec@5 83.594 (80.787) /data/vision/torralba/deepscene/lib/anaconda2/lib/python2.7/site-packages/PIL/TiffImagePlugin.py:709: UserWarning: Corrupt EXIF data. Expecting to read 4 bytes but only got 0. warnings.warn(str(msg)) Epoch: [36][3950/10010] Time 0.325 (0.333) Data 0.001 (0.001) Loss 1.7555 (1.8019) Prec@1 60.938 (59.114) Prec@5 78.906 (80.787) Epoch: [36][3960/10010] Time 0.327 (0.333) Data 0.001 (0.001) Loss 1.9306 (1.8019) Prec@1 60.938 (59.115) Prec@5 80.469 (80.787) Epoch: [36][3970/10010] Time 0.321 (0.333) Data 0.001 (0.001) Loss 1.8370 (1.8019) Prec@1 55.469 (59.120) Prec@5 79.688 (80.787) Epoch: [36][3980/10010] Time 0.342 (0.333) Data 0.000 (0.001) Loss 1.8768 (1.8021) Prec@1 52.344 (59.116) Prec@5 81.250 (80.788) Epoch: [36][3990/10010] Time 0.323 (0.333) Data 0.000 (0.001) Loss 1.7152 (1.8023) Prec@1 58.594 (59.111) Prec@5 82.031 (80.786) Epoch: [36][4000/10010] Time 0.336 (0.333) Data 0.001 (0.001) Loss 2.0658 (1.8024) Prec@1 57.031 (59.108) Prec@5 79.688 (80.787) Epoch: [36][4010/10010] Time 0.342 (0.333) Data 0.001 (0.001) Loss 1.6372 (1.8024) Prec@1 57.812 (59.103) Prec@5 83.594 (80.789) Epoch: [36][4020/10010] Time 0.345 (0.333) Data 0.000 (0.001) Loss 1.8493 (1.8023) Prec@1 52.344 (59.099) Prec@5 82.031 (80.790) Epoch: [36][4030/10010] Time 0.330 (0.333) Data 0.001 (0.001) Loss 1.9168 (1.8024) Prec@1 53.125 (59.096) Prec@5 78.906 (80.788) Epoch: [36][4040/10010] Time 0.338 (0.333) Data 0.001 (0.001) Loss 1.9326 (1.8025) Prec@1 50.781 (59.090) Prec@5 78.906 (80.789) Epoch: [36][4050/10010] Time 0.338 (0.333) Data 0.001 (0.001) Loss 1.5036 (1.8025) Prec@1 64.062 (59.091) Prec@5 85.156 (80.788) Epoch: [36][4060/10010] Time 0.328 (0.333) Data 0.001 (0.001) Loss 1.6841 (1.8024) Prec@1 58.594 (59.092) Prec@5 85.156 (80.793) Epoch: [36][4070/10010] Time 0.337 (0.333) Data 0.000 (0.001) Loss 1.6913 (1.8024) Prec@1 60.156 (59.096) Prec@5 83.594 (80.796) Epoch: [36][4080/10010] Time 0.327 (0.333) Data 0.001 (0.001) Loss 1.9311 (1.8023) Prec@1 57.031 (59.097) Prec@5 82.812 (80.798) Epoch: [36][4090/10010] Time 0.325 (0.333) Data 0.001 (0.001) Loss 1.7164 (1.8024) Prec@1 60.156 (59.096) Prec@5 80.469 (80.797) Epoch: [36][4100/10010] Time 0.328 (0.333) Data 0.001 (0.001) Loss 1.6635 (1.8022) Prec@1 54.688 (59.102) Prec@5 88.281 (80.804) Epoch: [36][4110/10010] Time 0.316 (0.333) Data 0.001 (0.001) Loss 1.7539 (1.8025) Prec@1 59.375 (59.097) Prec@5 82.031 (80.802) Epoch: [36][4120/10010] Time 0.324 (0.333) Data 0.001 (0.001) Loss 1.8410 (1.8026) Prec@1 56.250 (59.094) Prec@5 78.125 (80.801) Epoch: [36][4130/10010] Time 0.335 (0.333) Data 0.001 (0.001) Loss 1.9423 (1.8023) Prec@1 51.562 (59.099) Prec@5 78.906 (80.806) Epoch: [36][4140/10010] Time 0.341 (0.333) Data 0.001 (0.001) Loss 1.6980 (1.8025) Prec@1 59.375 (59.094) Prec@5 82.812 (80.803) Epoch: [36][4150/10010] Time 0.323 (0.333) Data 0.001 (0.001) Loss 1.9997 (1.8028) Prec@1 50.000 (59.087) Prec@5 80.469 (80.798) Epoch: [36][4160/10010] Time 0.333 (0.333) Data 0.000 (0.001) Loss 1.9617 (1.8029) Prec@1 57.812 (59.085) Prec@5 74.219 (80.797) Epoch: [36][4170/10010] Time 0.325 (0.333) Data 0.001 (0.001) Loss 1.6630 (1.8033) Prec@1 57.812 (59.077) Prec@5 79.688 (80.788) Epoch: [36][4180/10010] Time 0.334 (0.333) Data 0.000 (0.001) Loss 1.9828 (1.8036) Prec@1 53.906 (59.066) Prec@5 78.125 (80.785) Epoch: [36][4190/10010] Time 0.325 (0.333) Data 0.000 (0.001) Loss 1.8645 (1.8038) Prec@1 52.344 (59.062) Prec@5 82.031 (80.782) Epoch: [36][4200/10010] Time 0.320 (0.333) Data 0.001 (0.001) Loss 1.9105 (1.8039) Prec@1 56.250 (59.059) Prec@5 78.906 (80.780) Epoch: [36][4210/10010] Time 0.340 (0.333) Data 0.001 (0.001) Loss 1.7351 (1.8039) Prec@1 60.156 (59.060) Prec@5 82.031 (80.781) Epoch: [36][4220/10010] Time 0.344 (0.333) Data 0.000 (0.001) Loss 1.5368 (1.8038) Prec@1 63.281 (59.063) Prec@5 81.250 (80.779) Epoch: [36][4230/10010] Time 0.324 (0.333) Data 0.001 (0.001) Loss 1.9952 (1.8040) Prec@1 61.719 (59.060) Prec@5 78.125 (80.778) Epoch: [36][4240/10010] Time 0.326 (0.333) Data 0.001 (0.001) Loss 1.9066 (1.8041) Prec@1 59.375 (59.059) Prec@5 84.375 (80.775) Epoch: [36][4250/10010] Time 0.321 (0.333) Data 0.001 (0.001) Loss 1.6211 (1.8042) Prec@1 61.719 (59.059) Prec@5 82.031 (80.773) Epoch: [36][4260/10010] Time 0.329 (0.333) Data 0.000 (0.001) Loss 1.8370 (1.8044) Prec@1 60.938 (59.059) Prec@5 83.594 (80.770) Epoch: [36][4270/10010] Time 0.326 (0.333) Data 0.001 (0.001) Loss 1.8690 (1.8044) Prec@1 57.812 (59.058) Prec@5 83.594 (80.773) Epoch: [36][4280/10010] Time 0.324 (0.333) Data 0.000 (0.001) Loss 1.9920 (1.8045) Prec@1 54.688 (59.059) Prec@5 79.688 (80.773) Epoch: [36][4290/10010] Time 0.322 (0.333) Data 0.000 (0.001) Loss 1.7106 (1.8044) Prec@1 60.938 (59.063) Prec@5 80.469 (80.774) Epoch: [36][4300/10010] Time 0.337 (0.333) Data 0.000 (0.001) Loss 1.7106 (1.8042) Prec@1 61.719 (59.064) Prec@5 82.812 (80.778) Epoch: [36][4310/10010] Time 0.339 (0.333) Data 0.001 (0.001) Loss 1.7161 (1.8042) Prec@1 58.594 (59.064) Prec@5 80.469 (80.774) Epoch: [36][4320/10010] Time 0.333 (0.333) Data 0.001 (0.001) Loss 1.6596 (1.8040) Prec@1 56.250 (59.065) Prec@5 82.812 (80.780) Epoch: [36][4330/10010] Time 0.335 (0.333) Data 0.001 (0.001) Loss 1.7076 (1.8042) Prec@1 64.844 (59.060) Prec@5 82.031 (80.778) Epoch: [36][4340/10010] Time 0.324 (0.333) Data 0.001 (0.001) Loss 1.9278 (1.8044) Prec@1 61.719 (59.054) Prec@5 76.562 (80.773) Epoch: [36][4350/10010] Time 0.343 (0.333) Data 0.001 (0.001) Loss 1.8410 (1.8044) Prec@1 52.344 (59.053) Prec@5 80.469 (80.772) Epoch: [36][4360/10010] Time 0.325 (0.333) Data 0.001 (0.001) Loss 1.9899 (1.8046) Prec@1 57.812 (59.052) Prec@5 78.906 (80.769) Epoch: [36][4370/10010] Time 0.323 (0.333) Data 0.001 (0.001) Loss 1.8377 (1.8045) Prec@1 60.156 (59.055) Prec@5 78.906 (80.770) Epoch: [36][4380/10010] Time 0.326 (0.333) Data 0.001 (0.001) Loss 1.7699 (1.8044) Prec@1 59.375 (59.057) Prec@5 80.469 (80.773) Epoch: [36][4390/10010] Time 0.318 (0.333) Data 0.001 (0.001) Loss 1.8338 (1.8045) Prec@1 61.719 (59.057) Prec@5 84.375 (80.773) Epoch: [36][4400/10010] Time 0.322 (0.333) Data 0.001 (0.001) Loss 1.8192 (1.8043) Prec@1 61.719 (59.062) Prec@5 78.906 (80.773) Epoch: [36][4410/10010] Time 0.314 (0.333) Data 0.001 (0.001) Loss 1.7604 (1.8043) Prec@1 63.281 (59.061) Prec@5 79.688 (80.773) Epoch: [36][4420/10010] Time 0.319 (0.333) Data 0.001 (0.001) Loss 1.9218 (1.8043) Prec@1 56.250 (59.059) Prec@5 81.250 (80.775) Epoch: [36][4430/10010] Time 0.327 (0.333) Data 0.001 (0.001) Loss 1.7527 (1.8045) Prec@1 57.031 (59.059) Prec@5 82.812 (80.771) Epoch: [36][4440/10010] Time 0.327 (0.333) Data 0.001 (0.001) Loss 1.8798 (1.8046) Prec@1 56.250 (59.060) Prec@5 75.781 (80.767) Epoch: [36][4450/10010] Time 0.322 (0.333) Data 0.001 (0.001) Loss 1.7629 (1.8047) Prec@1 62.500 (59.060) Prec@5 80.469 (80.766) Epoch: [36][4460/10010] Time 0.328 (0.333) Data 0.001 (0.001) Loss 1.9432 (1.8048) Prec@1 57.031 (59.056) Prec@5 78.125 (80.766) Epoch: [36][4470/10010] Time 0.320 (0.333) Data 0.001 (0.001) Loss 1.4343 (1.8046) Prec@1 67.188 (59.063) Prec@5 89.844 (80.769) Epoch: [36][4480/10010] Time 0.318 (0.333) Data 0.001 (0.001) Loss 1.5548 (1.8049) Prec@1 64.844 (59.062) Prec@5 82.031 (80.766) Epoch: [36][4490/10010] Time 0.323 (0.333) Data 0.001 (0.001) Loss 1.8156 (1.8049) Prec@1 60.938 (59.061) Prec@5 78.125 (80.767) Epoch: [36][4500/10010] Time 0.324 (0.333) Data 0.001 (0.001) Loss 1.6374 (1.8049) Prec@1 60.938 (59.063) Prec@5 81.250 (80.770) Epoch: [36][4510/10010] Time 0.335 (0.333) Data 0.000 (0.001) Loss 1.6795 (1.8049) Prec@1 53.125 (59.060) Prec@5 86.719 (80.773) Epoch: [36][4520/10010] Time 0.328 (0.333) Data 0.000 (0.001) Loss 1.7283 (1.8049) Prec@1 57.031 (59.055) Prec@5 82.031 (80.772) Epoch: [36][4530/10010] Time 0.322 (0.332) Data 0.001 (0.001) Loss 1.6424 (1.8049) Prec@1 61.719 (59.053) Prec@5 83.594 (80.771) Epoch: [36][4540/10010] Time 0.329 (0.332) Data 0.001 (0.001) Loss 2.0906 (1.8049) Prec@1 51.562 (59.057) Prec@5 73.438 (80.771) Epoch: [36][4550/10010] Time 0.322 (0.332) Data 0.001 (0.001) Loss 1.7546 (1.8050) Prec@1 65.625 (59.054) Prec@5 81.250 (80.769) Epoch: [36][4560/10010] Time 0.322 (0.332) Data 0.001 (0.001) Loss 2.1153 (1.8050) Prec@1 50.781 (59.051) Prec@5 75.000 (80.770) Epoch: [36][4570/10010] Time 0.322 (0.332) Data 0.001 (0.001) Loss 1.7390 (1.8048) Prec@1 60.938 (59.054) Prec@5 81.250 (80.775) Epoch: [36][4580/10010] Time 0.334 (0.332) Data 0.001 (0.001) Loss 1.6037 (1.8047) Prec@1 63.281 (59.055) Prec@5 86.719 (80.776) Epoch: [36][4590/10010] Time 0.316 (0.332) Data 0.000 (0.001) Loss 1.6421 (1.8048) Prec@1 65.625 (59.058) Prec@5 80.469 (80.773) Epoch: [36][4600/10010] Time 0.337 (0.332) Data 0.001 (0.001) Loss 1.7519 (1.8050) Prec@1 59.375 (59.055) Prec@5 81.250 (80.768) Epoch: [36][4610/10010] Time 0.330 (0.332) Data 0.001 (0.001) Loss 2.1163 (1.8052) Prec@1 53.125 (59.052) Prec@5 76.562 (80.765) Epoch: [36][4620/10010] Time 0.334 (0.332) Data 0.001 (0.001) Loss 1.6879 (1.8050) Prec@1 64.062 (59.054) Prec@5 82.031 (80.767) Epoch: [36][4630/10010] Time 0.336 (0.332) Data 0.000 (0.001) Loss 1.6256 (1.8049) Prec@1 60.938 (59.059) Prec@5 79.688 (80.769) Epoch: [36][4640/10010] Time 0.341 (0.332) Data 0.001 (0.001) Loss 1.8218 (1.8048) Prec@1 53.125 (59.059) Prec@5 78.125 (80.769) Epoch: [36][4650/10010] Time 0.322 (0.332) Data 0.001 (0.001) Loss 2.0037 (1.8049) Prec@1 56.250 (59.060) Prec@5 75.781 (80.768) Epoch: [36][4660/10010] Time 0.323 (0.332) Data 0.001 (0.001) Loss 1.5759 (1.8046) Prec@1 61.719 (59.064) Prec@5 85.156 (80.774) Epoch: [36][4670/10010] Time 0.326 (0.332) Data 0.001 (0.001) Loss 1.6563 (1.8047) Prec@1 64.062 (59.062) Prec@5 81.250 (80.770) Epoch: [36][4680/10010] Time 0.322 (0.332) Data 0.001 (0.001) Loss 1.9209 (1.8047) Prec@1 60.156 (59.063) Prec@5 82.031 (80.772) Epoch: [36][4690/10010] Time 0.323 (0.332) Data 0.001 (0.001) Loss 1.8281 (1.8046) Prec@1 60.938 (59.066) Prec@5 81.250 (80.774) Epoch: [36][4700/10010] Time 0.329 (0.332) Data 0.000 (0.001) Loss 2.1813 (1.8049) Prec@1 50.000 (59.060) Prec@5 76.562 (80.770) Epoch: [36][4710/10010] Time 0.322 (0.332) Data 0.000 (0.001) Loss 2.2334 (1.8050) Prec@1 47.656 (59.058) Prec@5 75.000 (80.768) Epoch: [36][4720/10010] Time 0.334 (0.332) Data 0.000 (0.001) Loss 2.1564 (1.8050) Prec@1 51.562 (59.060) Prec@5 74.219 (80.770) Epoch: [36][4730/10010] Time 0.332 (0.332) Data 0.000 (0.001) Loss 1.7987 (1.8050) Prec@1 60.156 (59.061) Prec@5 78.906 (80.770) Epoch: [36][4740/10010] Time 0.329 (0.332) Data 0.001 (0.001) Loss 1.8156 (1.8049) Prec@1 53.906 (59.062) Prec@5 82.031 (80.770) Epoch: [36][4750/10010] Time 0.327 (0.332) Data 0.001 (0.001) Loss 2.1370 (1.8051) Prec@1 57.031 (59.058) Prec@5 79.688 (80.765) Epoch: [36][4760/10010] Time 0.336 (0.332) Data 0.001 (0.001) Loss 2.2158 (1.8052) Prec@1 54.688 (59.056) Prec@5 71.094 (80.765) Epoch: [36][4770/10010] Time 0.322 (0.332) Data 0.001 (0.001) Loss 1.7744 (1.8052) Prec@1 54.688 (59.052) Prec@5 81.250 (80.764) Epoch: [36][4780/10010] Time 0.316 (0.332) Data 0.001 (0.001) Loss 1.8316 (1.8053) Prec@1 61.719 (59.053) Prec@5 82.812 (80.763) Epoch: [36][4790/10010] Time 0.327 (0.332) Data 0.001 (0.001) Loss 1.3663 (1.8052) Prec@1 63.281 (59.052) Prec@5 88.281 (80.763) Epoch: [36][4800/10010] Time 0.316 (0.332) Data 0.001 (0.001) Loss 1.6659 (1.8051) Prec@1 61.719 (59.056) Prec@5 81.250 (80.765) Epoch: [36][4810/10010] Time 0.338 (0.332) Data 0.001 (0.001) Loss 1.6424 (1.8050) Prec@1 61.719 (59.059) Prec@5 82.812 (80.766) Epoch: [36][4820/10010] Time 0.325 (0.332) Data 0.001 (0.001) Loss 1.8002 (1.8051) Prec@1 52.344 (59.056) Prec@5 80.469 (80.762) Epoch: [36][4830/10010] Time 0.332 (0.332) Data 0.001 (0.001) Loss 1.7277 (1.8048) Prec@1 58.594 (59.060) Prec@5 84.375 (80.767) Epoch: [36][4840/10010] Time 0.327 (0.332) Data 0.000 (0.001) Loss 1.5683 (1.8047) Prec@1 66.406 (59.064) Prec@5 84.375 (80.767) Epoch: [36][4850/10010] Time 0.340 (0.332) Data 0.001 (0.001) Loss 1.8344 (1.8047) Prec@1 59.375 (59.065) Prec@5 80.469 (80.767) Epoch: [36][4860/10010] Time 0.327 (0.332) Data 0.000 (0.001) Loss 1.7421 (1.8047) Prec@1 57.812 (59.066) Prec@5 82.812 (80.765) Epoch: [36][4870/10010] Time 0.339 (0.332) Data 0.001 (0.001) Loss 1.6576 (1.8048) Prec@1 63.281 (59.064) Prec@5 81.250 (80.765) Epoch: [36][4880/10010] Time 0.324 (0.332) Data 0.001 (0.001) Loss 2.2664 (1.8049) Prec@1 53.906 (59.061) Prec@5 75.781 (80.763) Epoch: [36][4890/10010] Time 0.323 (0.332) Data 0.000 (0.001) Loss 2.0621 (1.8049) Prec@1 52.344 (59.062) Prec@5 74.219 (80.762) Epoch: [36][4900/10010] Time 0.335 (0.332) Data 0.001 (0.001) Loss 1.4713 (1.8049) Prec@1 69.531 (59.064) Prec@5 86.719 (80.762) Epoch: [36][4910/10010] Time 0.327 (0.332) Data 0.000 (0.001) Loss 1.8248 (1.8050) Prec@1 58.594 (59.060) Prec@5 79.688 (80.762) Epoch: [36][4920/10010] Time 0.326 (0.332) Data 0.000 (0.001) Loss 1.7844 (1.8051) Prec@1 58.594 (59.058) Prec@5 84.375 (80.762) Epoch: [36][4930/10010] Time 0.328 (0.332) Data 0.001 (0.001) Loss 2.2636 (1.8052) Prec@1 53.125 (59.057) Prec@5 71.094 (80.758) Epoch: [36][4940/10010] Time 0.324 (0.332) Data 0.001 (0.001) Loss 1.6152 (1.8052) Prec@1 67.188 (59.055) Prec@5 88.281 (80.758) Epoch: [36][4950/10010] Time 0.326 (0.332) Data 0.000 (0.001) Loss 1.7961 (1.8053) Prec@1 60.156 (59.056) Prec@5 84.375 (80.759) Epoch: [36][4960/10010] Time 0.344 (0.332) Data 0.000 (0.001) Loss 2.1053 (1.8054) Prec@1 56.250 (59.053) Prec@5 75.000 (80.758) Epoch: [36][4970/10010] Time 0.313 (0.332) Data 0.001 (0.001) Loss 1.4417 (1.8055) Prec@1 64.062 (59.051) Prec@5 85.938 (80.756) Epoch: [36][4980/10010] Time 0.327 (0.332) Data 0.000 (0.001) Loss 1.9085 (1.8054) Prec@1 58.594 (59.053) Prec@5 81.250 (80.756) Epoch: [36][4990/10010] Time 0.341 (0.332) Data 0.000 (0.001) Loss 1.5633 (1.8052) Prec@1 60.156 (59.056) Prec@5 85.938 (80.759) Epoch: [36][5000/10010] Time 0.324 (0.332) Data 0.001 (0.001) Loss 1.7261 (1.8053) Prec@1 59.375 (59.054) Prec@5 79.688 (80.760) Epoch: [36][5010/10010] Time 0.322 (0.332) Data 0.001 (0.001) Loss 2.1136 (1.8055) Prec@1 50.000 (59.052) Prec@5 74.219 (80.757) Epoch: [36][5020/10010] Time 0.332 (0.332) Data 0.001 (0.001) Loss 1.5356 (1.8055) Prec@1 63.281 (59.049) Prec@5 89.062 (80.759) Epoch: [36][5030/10010] Time 0.340 (0.332) Data 0.000 (0.001) Loss 2.1775 (1.8057) Prec@1 57.031 (59.049) Prec@5 73.438 (80.754) Epoch: [36][5040/10010] Time 0.320 (0.332) Data 0.001 (0.001) Loss 1.5452 (1.8055) Prec@1 66.406 (59.052) Prec@5 84.375 (80.757) Epoch: [36][5050/10010] Time 0.334 (0.332) Data 0.001 (0.001) Loss 1.6563 (1.8053) Prec@1 62.500 (59.053) Prec@5 84.375 (80.761) Epoch: [36][5060/10010] Time 0.337 (0.332) Data 0.001 (0.001) Loss 1.5499 (1.8054) Prec@1 59.375 (59.053) Prec@5 86.719 (80.760) Epoch: [36][5070/10010] Time 0.323 (0.332) Data 0.000 (0.001) Loss 1.7607 (1.8053) Prec@1 54.688 (59.054) Prec@5 84.375 (80.763) Epoch: [36][5080/10010] Time 0.324 (0.332) Data 0.000 (0.001) Loss 1.7520 (1.8052) Prec@1 57.812 (59.051) Prec@5 80.469 (80.764) Epoch: [36][5090/10010] Time 0.324 (0.332) Data 0.001 (0.001) Loss 2.0454 (1.8052) Prec@1 51.562 (59.052) Prec@5 74.219 (80.763) Epoch: [36][5100/10010] Time 0.324 (0.332) Data 0.001 (0.001) Loss 1.4700 (1.8052) Prec@1 67.188 (59.050) Prec@5 87.500 (80.763) Epoch: [36][5110/10010] Time 0.328 (0.332) Data 0.000 (0.001) Loss 1.8523 (1.8052) Prec@1 57.812 (59.050) Prec@5 78.125 (80.764) Epoch: [36][5120/10010] Time 0.335 (0.332) Data 0.000 (0.001) Loss 2.0694 (1.8052) Prec@1 56.250 (59.047) Prec@5 78.906 (80.765) Epoch: [36][5130/10010] Time 0.333 (0.332) Data 0.001 (0.001) Loss 1.7732 (1.8052) Prec@1 60.938 (59.049) Prec@5 82.031 (80.766) Epoch: [36][5140/10010] Time 0.334 (0.332) Data 0.000 (0.001) Loss 1.5746 (1.8050) Prec@1 66.406 (59.056) Prec@5 85.938 (80.771) Epoch: [36][5150/10010] Time 0.344 (0.332) Data 0.000 (0.001) Loss 1.6312 (1.8050) Prec@1 63.281 (59.057) Prec@5 86.719 (80.770) Epoch: [36][5160/10010] Time 0.328 (0.332) Data 0.001 (0.001) Loss 1.5952 (1.8050) Prec@1 66.406 (59.055) Prec@5 82.812 (80.770) Epoch: [36][5170/10010] Time 0.329 (0.332) Data 0.001 (0.001) Loss 1.6902 (1.8051) Prec@1 59.375 (59.052) Prec@5 83.594 (80.768) Epoch: [36][5180/10010] Time 0.336 (0.332) Data 0.001 (0.001) Loss 2.1118 (1.8051) Prec@1 58.594 (59.054) Prec@5 73.438 (80.766) Epoch: [36][5190/10010] Time 0.324 (0.332) Data 0.000 (0.001) Loss 1.7364 (1.8052) Prec@1 58.594 (59.052) Prec@5 80.469 (80.764) Epoch: [36][5200/10010] Time 0.334 (0.332) Data 0.001 (0.001) Loss 1.7631 (1.8053) Prec@1 53.906 (59.051) Prec@5 81.250 (80.764) Epoch: [36][5210/10010] Time 0.331 (0.332) Data 0.001 (0.001) Loss 1.5656 (1.8052) Prec@1 64.062 (59.051) Prec@5 83.594 (80.766) Epoch: [36][5220/10010] Time 0.322 (0.332) Data 0.001 (0.001) Loss 1.8093 (1.8052) Prec@1 57.031 (59.051) Prec@5 78.125 (80.763) Epoch: [36][5230/10010] Time 0.332 (0.332) Data 0.000 (0.001) Loss 1.6384 (1.8053) Prec@1 55.469 (59.048) Prec@5 80.469 (80.761) Epoch: [36][5240/10010] Time 0.329 (0.332) Data 0.001 (0.001) Loss 1.7444 (1.8054) Prec@1 61.719 (59.046) Prec@5 80.469 (80.761) Epoch: [36][5250/10010] Time 0.328 (0.332) Data 0.001 (0.001) Loss 1.9353 (1.8054) Prec@1 57.031 (59.044) Prec@5 78.125 (80.762) Epoch: [36][5260/10010] Time 0.331 (0.332) Data 0.001 (0.001) Loss 1.7567 (1.8055) Prec@1 54.688 (59.039) Prec@5 81.250 (80.759) Epoch: [36][5270/10010] Time 0.331 (0.332) Data 0.000 (0.001) Loss 1.8011 (1.8057) Prec@1 61.719 (59.036) Prec@5 81.250 (80.759) Epoch: [36][5280/10010] Time 0.337 (0.332) Data 0.001 (0.001) Loss 1.8725 (1.8056) Prec@1 52.344 (59.036) Prec@5 83.594 (80.760) Epoch: [36][5290/10010] Time 0.337 (0.332) Data 0.001 (0.001) Loss 1.9688 (1.8058) Prec@1 53.125 (59.032) Prec@5 77.344 (80.757) Epoch: [36][5300/10010] Time 0.322 (0.332) Data 0.001 (0.001) Loss 2.1404 (1.8060) Prec@1 51.562 (59.026) Prec@5 75.000 (80.753) Epoch: [36][5310/10010] Time 0.326 (0.332) Data 0.000 (0.001) Loss 1.5259 (1.8060) Prec@1 61.719 (59.025) Prec@5 85.156 (80.753) Epoch: [36][5320/10010] Time 0.323 (0.332) Data 0.001 (0.001) Loss 1.5961 (1.8060) Prec@1 60.156 (59.023) Prec@5 88.281 (80.754) Epoch: [36][5330/10010] Time 0.313 (0.332) Data 0.000 (0.001) Loss 1.8490 (1.8058) Prec@1 60.156 (59.029) Prec@5 80.469 (80.757) Epoch: [36][5340/10010] Time 0.338 (0.332) Data 0.001 (0.001) Loss 1.7492 (1.8060) Prec@1 61.719 (59.024) Prec@5 77.344 (80.755) Epoch: [36][5350/10010] Time 0.320 (0.332) Data 0.000 (0.001) Loss 1.6657 (1.8061) Prec@1 65.625 (59.020) Prec@5 83.594 (80.753) Epoch: [36][5360/10010] Time 0.336 (0.332) Data 0.000 (0.001) Loss 1.6288 (1.8061) Prec@1 62.500 (59.019) Prec@5 85.156 (80.753) Epoch: [36][5370/10010] Time 0.334 (0.332) Data 0.001 (0.001) Loss 2.0037 (1.8060) Prec@1 50.781 (59.018) Prec@5 77.344 (80.754) Epoch: [36][5380/10010] Time 0.321 (0.332) Data 0.001 (0.001) Loss 1.9332 (1.8060) Prec@1 56.250 (59.019) Prec@5 81.250 (80.753) Epoch: [36][5390/10010] Time 0.340 (0.332) Data 0.000 (0.001) Loss 1.8936 (1.8059) Prec@1 54.688 (59.021) Prec@5 79.688 (80.753) Epoch: [36][5400/10010] Time 0.320 (0.332) Data 0.001 (0.001) Loss 1.6019 (1.8060) Prec@1 61.719 (59.019) Prec@5 83.594 (80.753) Epoch: [36][5410/10010] Time 0.334 (0.332) Data 0.001 (0.001) Loss 1.8059 (1.8060) Prec@1 60.938 (59.021) Prec@5 79.688 (80.755) Epoch: [36][5420/10010] Time 0.323 (0.332) Data 0.001 (0.001) Loss 1.7893 (1.8059) Prec@1 65.625 (59.021) Prec@5 78.906 (80.755) Epoch: [36][5430/10010] Time 0.339 (0.332) Data 0.000 (0.001) Loss 1.6363 (1.8060) Prec@1 66.406 (59.022) Prec@5 84.375 (80.755) Epoch: [36][5440/10010] Time 0.327 (0.332) Data 0.001 (0.001) Loss 1.7608 (1.8058) Prec@1 60.156 (59.023) Prec@5 81.250 (80.757) Epoch: [36][5450/10010] Time 0.326 (0.332) Data 0.001 (0.001) Loss 1.9735 (1.8058) Prec@1 50.000 (59.021) Prec@5 77.344 (80.757) Epoch: [36][5460/10010] Time 0.317 (0.332) Data 0.000 (0.001) Loss 1.8425 (1.8057) Prec@1 57.031 (59.021) Prec@5 79.688 (80.756) Epoch: [36][5470/10010] Time 0.334 (0.332) Data 0.000 (0.001) Loss 1.6182 (1.8058) Prec@1 57.812 (59.018) Prec@5 85.156 (80.755) Epoch: [36][5480/10010] Time 0.326 (0.332) Data 0.001 (0.001) Loss 2.0813 (1.8059) Prec@1 53.906 (59.012) Prec@5 75.781 (80.752) Epoch: [36][5490/10010] Time 0.326 (0.332) Data 0.001 (0.001) Loss 1.7896 (1.8060) Prec@1 57.031 (59.010) Prec@5 81.250 (80.750) Epoch: [36][5500/10010] Time 0.326 (0.332) Data 0.001 (0.001) Loss 2.1400 (1.8060) Prec@1 57.031 (59.009) Prec@5 78.906 (80.751) Epoch: [36][5510/10010] Time 0.332 (0.332) Data 0.000 (0.001) Loss 1.8865 (1.8060) Prec@1 57.031 (59.012) Prec@5 79.688 (80.750) Epoch: [36][5520/10010] Time 0.321 (0.332) Data 0.001 (0.001) Loss 2.0069 (1.8061) Prec@1 53.125 (59.009) Prec@5 78.906 (80.750) Epoch: [36][5530/10010] Time 0.333 (0.332) Data 0.000 (0.001) Loss 1.4572 (1.8061) Prec@1 64.062 (59.009) Prec@5 86.719 (80.749) Epoch: [36][5540/10010] Time 0.344 (0.332) Data 0.000 (0.001) Loss 1.7983 (1.8062) Prec@1 55.469 (59.005) Prec@5 80.469 (80.747) Epoch: [36][5550/10010] Time 0.330 (0.332) Data 0.000 (0.001) Loss 1.7393 (1.8063) Prec@1 65.625 (59.006) Prec@5 83.594 (80.748) Epoch: [36][5560/10010] Time 0.338 (0.332) Data 0.001 (0.001) Loss 2.0866 (1.8064) Prec@1 53.906 (59.003) Prec@5 76.562 (80.747) Epoch: [36][5570/10010] Time 0.327 (0.332) Data 0.001 (0.001) Loss 2.0912 (1.8064) Prec@1 50.000 (58.999) Prec@5 73.438 (80.749) Epoch: [36][5580/10010] Time 0.342 (0.332) Data 0.001 (0.001) Loss 1.7049 (1.8064) Prec@1 60.938 (58.998) Prec@5 82.812 (80.752) Epoch: [36][5590/10010] Time 0.345 (0.332) Data 0.000 (0.001) Loss 1.4775 (1.8064) Prec@1 60.938 (58.999) Prec@5 86.719 (80.754) Epoch: [36][5600/10010] Time 0.320 (0.332) Data 0.000 (0.001) Loss 1.7423 (1.8065) Prec@1 62.500 (58.995) Prec@5 82.812 (80.753) Epoch: [36][5610/10010] Time 0.345 (0.332) Data 0.001 (0.001) Loss 1.9729 (1.8067) Prec@1 53.125 (58.992) Prec@5 76.562 (80.750) Epoch: [36][5620/10010] Time 0.324 (0.332) Data 0.001 (0.001) Loss 1.7056 (1.8069) Prec@1 65.625 (58.991) Prec@5 84.375 (80.748) Epoch: [36][5630/10010] Time 0.336 (0.332) Data 0.001 (0.001) Loss 1.7986 (1.8069) Prec@1 57.812 (58.994) Prec@5 78.906 (80.749) Epoch: [36][5640/10010] Time 0.326 (0.332) Data 0.001 (0.001) Loss 1.7075 (1.8068) Prec@1 62.500 (58.997) Prec@5 83.594 (80.751) Epoch: [36][5650/10010] Time 0.345 (0.332) Data 0.000 (0.001) Loss 1.7255 (1.8067) Prec@1 61.719 (59.002) Prec@5 79.688 (80.755) Epoch: [36][5660/10010] Time 0.333 (0.332) Data 0.001 (0.001) Loss 1.8537 (1.8068) Prec@1 56.250 (59.000) Prec@5 79.688 (80.754) Epoch: [36][5670/10010] Time 0.317 (0.332) Data 0.001 (0.001) Loss 1.7727 (1.8067) Prec@1 57.812 (59.002) Prec@5 78.906 (80.754) Epoch: [36][5680/10010] Time 0.327 (0.332) Data 0.000 (0.001) Loss 1.7560 (1.8065) Prec@1 63.281 (59.007) Prec@5 78.906 (80.756) Epoch: [36][5690/10010] Time 0.338 (0.332) Data 0.001 (0.001) Loss 1.7782 (1.8067) Prec@1 64.062 (59.004) Prec@5 79.688 (80.753) Epoch: [36][5700/10010] Time 0.337 (0.332) Data 0.001 (0.001) Loss 1.7285 (1.8068) Prec@1 60.938 (59.002) Prec@5 80.469 (80.752) Epoch: [36][5710/10010] Time 0.337 (0.332) Data 0.001 (0.001) Loss 1.9311 (1.8068) Prec@1 57.812 (59.002) Prec@5 78.906 (80.750) Epoch: [36][5720/10010] Time 0.345 (0.332) Data 0.000 (0.001) Loss 1.6793 (1.8068) Prec@1 64.062 (59.003) Prec@5 82.031 (80.751) Epoch: [36][5730/10010] Time 0.324 (0.332) Data 0.001 (0.001) Loss 1.6907 (1.8067) Prec@1 58.594 (59.002) Prec@5 79.688 (80.751) Epoch: [36][5740/10010] Time 0.331 (0.332) Data 0.000 (0.001) Loss 1.9694 (1.8067) Prec@1 64.062 (59.003) Prec@5 77.344 (80.750) Epoch: [36][5750/10010] Time 0.333 (0.332) Data 0.001 (0.001) Loss 1.8649 (1.8070) Prec@1 57.812 (59.000) Prec@5 79.688 (80.745) Epoch: [36][5760/10010] Time 0.333 (0.332) Data 0.000 (0.001) Loss 1.7438 (1.8069) Prec@1 64.062 (59.001) Prec@5 78.906 (80.744) Epoch: [36][5770/10010] Time 0.328 (0.332) Data 0.001 (0.001) Loss 2.0716 (1.8071) Prec@1 53.125 (58.998) Prec@5 79.688 (80.742) Epoch: [36][5780/10010] Time 0.340 (0.332) Data 0.001 (0.001) Loss 1.8839 (1.8073) Prec@1 61.719 (58.996) Prec@5 79.688 (80.741) Epoch: [36][5790/10010] Time 0.336 (0.332) Data 0.001 (0.001) Loss 1.8618 (1.8073) Prec@1 58.594 (58.997) Prec@5 82.031 (80.741) Epoch: [36][5800/10010] Time 0.337 (0.332) Data 0.001 (0.001) Loss 1.8777 (1.8073) Prec@1 56.250 (58.994) Prec@5 78.906 (80.740) Epoch: [36][5810/10010] Time 0.345 (0.332) Data 0.000 (0.001) Loss 2.0646 (1.8072) Prec@1 55.469 (58.995) Prec@5 75.000 (80.738) Epoch: [36][5820/10010] Time 0.333 (0.332) Data 0.001 (0.001) Loss 1.6514 (1.8073) Prec@1 62.500 (58.992) Prec@5 82.031 (80.738) Epoch: [36][5830/10010] Time 0.330 (0.332) Data 0.001 (0.001) Loss 1.7421 (1.8071) Prec@1 60.156 (58.995) Prec@5 81.250 (80.742) Epoch: [36][5840/10010] Time 0.326 (0.332) Data 0.000 (0.001) Loss 1.4748 (1.8070) Prec@1 67.188 (58.998) Prec@5 88.281 (80.741) Epoch: [36][5850/10010] Time 0.337 (0.332) Data 0.001 (0.001) Loss 1.7473 (1.8070) Prec@1 59.375 (58.996) Prec@5 81.250 (80.742) Epoch: [36][5860/10010] Time 0.323 (0.332) Data 0.001 (0.001) Loss 1.6370 (1.8069) Prec@1 62.500 (59.000) Prec@5 82.812 (80.743) Epoch: [36][5870/10010] Time 0.322 (0.332) Data 0.000 (0.001) Loss 1.7226 (1.8068) Prec@1 60.156 (59.001) Prec@5 79.688 (80.744) Epoch: [36][5880/10010] Time 0.323 (0.332) Data 0.001 (0.001) Loss 1.7889 (1.8068) Prec@1 63.281 (59.000) Prec@5 82.812 (80.746) Epoch: [36][5890/10010] Time 0.333 (0.332) Data 0.001 (0.001) Loss 1.8539 (1.8069) Prec@1 62.500 (58.999) Prec@5 82.031 (80.744) Epoch: [36][5900/10010] Time 0.317 (0.332) Data 0.001 (0.001) Loss 2.0371 (1.8071) Prec@1 57.031 (58.997) Prec@5 75.781 (80.743) Epoch: [36][5910/10010] Time 0.322 (0.332) Data 0.001 (0.001) Loss 2.0548 (1.8073) Prec@1 55.469 (58.993) Prec@5 78.125 (80.741) Epoch: [36][5920/10010] Time 0.326 (0.332) Data 0.001 (0.001) Loss 1.6502 (1.8073) Prec@1 59.375 (58.990) Prec@5 80.469 (80.739) Epoch: [36][5930/10010] Time 0.327 (0.332) Data 0.001 (0.001) Loss 1.6266 (1.8074) Prec@1 63.281 (58.988) Prec@5 84.375 (80.741) Epoch: [36][5940/10010] Time 0.334 (0.332) Data 0.001 (0.001) Loss 1.6785 (1.8074) Prec@1 64.062 (58.989) Prec@5 82.031 (80.741) Epoch: [36][5950/10010] Time 0.340 (0.332) Data 0.001 (0.001) Loss 1.8965 (1.8074) Prec@1 53.906 (58.989) Prec@5 82.031 (80.742) Epoch: [36][5960/10010] Time 0.338 (0.332) Data 0.001 (0.001) Loss 2.1351 (1.8076) Prec@1 53.125 (58.987) Prec@5 76.562 (80.737) Epoch: [36][5970/10010] Time 0.333 (0.332) Data 0.001 (0.001) Loss 1.8034 (1.8074) Prec@1 60.938 (58.990) Prec@5 79.688 (80.741) Epoch: [36][5980/10010] Time 0.337 (0.332) Data 0.001 (0.001) Loss 1.6180 (1.8074) Prec@1 63.281 (58.989) Prec@5 85.938 (80.741) Epoch: [36][5990/10010] Time 0.327 (0.332) Data 0.000 (0.001) Loss 1.8619 (1.8074) Prec@1 55.469 (58.987) Prec@5 78.906 (80.743) Epoch: [36][6000/10010] Time 0.318 (0.332) Data 0.001 (0.001) Loss 2.0747 (1.8074) Prec@1 53.125 (58.987) Prec@5 77.344 (80.743) Epoch: [36][6010/10010] Time 0.336 (0.332) Data 0.001 (0.001) Loss 1.7843 (1.8074) Prec@1 57.031 (58.987) Prec@5 80.469 (80.741) Epoch: [36][6020/10010] Time 0.332 (0.332) Data 0.001 (0.001) Loss 1.7103 (1.8073) Prec@1 60.156 (58.988) Prec@5 80.469 (80.741) Epoch: [36][6030/10010] Time 0.332 (0.332) Data 0.000 (0.001) Loss 2.0860 (1.8075) Prec@1 55.469 (58.986) Prec@5 76.562 (80.739) Epoch: [36][6040/10010] Time 0.324 (0.332) Data 0.000 (0.001) Loss 1.7008 (1.8073) Prec@1 61.719 (58.988) Prec@5 81.250 (80.741) Epoch: [36][6050/10010] Time 0.339 (0.332) Data 0.001 (0.001) Loss 2.0637 (1.8075) Prec@1 55.469 (58.988) Prec@5 82.812 (80.739) Epoch: [36][6060/10010] Time 0.334 (0.332) Data 0.001 (0.001) Loss 1.6074 (1.8076) Prec@1 57.812 (58.985) Prec@5 84.375 (80.739) Epoch: [36][6070/10010] Time 0.322 (0.332) Data 0.001 (0.001) Loss 1.9131 (1.8076) Prec@1 58.594 (58.985) Prec@5 78.125 (80.740) Epoch: [36][6080/10010] Time 0.346 (0.332) Data 0.001 (0.001) Loss 1.7588 (1.8077) Prec@1 64.062 (58.986) Prec@5 82.031 (80.738) Epoch: [36][6090/10010] Time 0.333 (0.332) Data 0.000 (0.001) Loss 1.8656 (1.8077) Prec@1 58.594 (58.987) Prec@5 78.906 (80.736) Epoch: [36][6100/10010] Time 0.331 (0.332) Data 0.000 (0.001) Loss 1.8195 (1.8075) Prec@1 60.156 (58.991) Prec@5 83.594 (80.741) Epoch: [36][6110/10010] Time 0.329 (0.332) Data 0.001 (0.001) Loss 1.9991 (1.8076) Prec@1 59.375 (58.987) Prec@5 74.219 (80.739) Epoch: [36][6120/10010] Time 0.320 (0.332) Data 0.001 (0.001) Loss 1.7261 (1.8077) Prec@1 64.062 (58.988) Prec@5 82.031 (80.739) Epoch: [36][6130/10010] Time 0.330 (0.332) Data 0.001 (0.001) Loss 1.7167 (1.8077) Prec@1 57.812 (58.987) Prec@5 83.594 (80.739) Epoch: [36][6140/10010] Time 0.340 (0.332) Data 0.001 (0.001) Loss 1.5812 (1.8075) Prec@1 64.844 (58.991) Prec@5 83.594 (80.740) Epoch: [36][6150/10010] Time 0.329 (0.332) Data 0.001 (0.001) Loss 1.4778 (1.8075) Prec@1 64.844 (58.990) Prec@5 85.156 (80.741) Epoch: [36][6160/10010] Time 0.341 (0.332) Data 0.001 (0.001) Loss 2.0055 (1.8076) Prec@1 57.031 (58.989) Prec@5 77.344 (80.739) Epoch: [36][6170/10010] Time 0.326 (0.332) Data 0.001 (0.001) Loss 1.7656 (1.8076) Prec@1 64.844 (58.989) Prec@5 77.344 (80.738) Epoch: [36][6180/10010] Time 0.331 (0.332) Data 0.000 (0.001) Loss 1.9151 (1.8078) Prec@1 60.156 (58.987) Prec@5 82.031 (80.736) Epoch: [36][6190/10010] Time 0.323 (0.332) Data 0.001 (0.001) Loss 1.8785 (1.8079) Prec@1 55.469 (58.984) Prec@5 79.688 (80.734) Epoch: [36][6200/10010] Time 0.324 (0.332) Data 0.000 (0.001) Loss 1.9534 (1.8079) Prec@1 56.250 (58.986) Prec@5 74.219 (80.731) Epoch: [36][6210/10010] Time 0.338 (0.332) Data 0.000 (0.001) Loss 1.7382 (1.8080) Prec@1 59.375 (58.985) Prec@5 82.031 (80.729) Epoch: [36][6220/10010] Time 0.325 (0.332) Data 0.001 (0.001) Loss 1.8156 (1.8079) Prec@1 56.250 (58.984) Prec@5 79.688 (80.731) Epoch: [36][6230/10010] Time 0.330 (0.332) Data 0.000 (0.001) Loss 1.4239 (1.8079) Prec@1 65.625 (58.984) Prec@5 83.594 (80.733) Epoch: [36][6240/10010] Time 0.330 (0.332) Data 0.001 (0.001) Loss 1.4440 (1.8077) Prec@1 69.531 (58.986) Prec@5 87.500 (80.733) Epoch: [36][6250/10010] Time 0.321 (0.332) Data 0.001 (0.001) Loss 1.8480 (1.8079) Prec@1 53.125 (58.983) Prec@5 79.688 (80.730) Epoch: [36][6260/10010] Time 0.326 (0.332) Data 0.000 (0.001) Loss 1.5387 (1.8078) Prec@1 68.750 (58.984) Prec@5 83.594 (80.732) Epoch: [36][6270/10010] Time 0.334 (0.332) Data 0.001 (0.001) Loss 1.7041 (1.8080) Prec@1 53.906 (58.980) Prec@5 82.031 (80.731) Epoch: [36][6280/10010] Time 0.342 (0.332) Data 0.000 (0.001) Loss 1.8174 (1.8079) Prec@1 60.156 (58.980) Prec@5 79.688 (80.733) Epoch: [36][6290/10010] Time 0.336 (0.332) Data 0.000 (0.001) Loss 1.9611 (1.8080) Prec@1 54.688 (58.977) Prec@5 79.688 (80.733) Epoch: [36][6300/10010] Time 0.320 (0.332) Data 0.000 (0.001) Loss 1.6901 (1.8079) Prec@1 57.031 (58.980) Prec@5 79.688 (80.734) Epoch: [36][6310/10010] Time 0.339 (0.332) Data 0.001 (0.001) Loss 1.4063 (1.8080) Prec@1 65.625 (58.977) Prec@5 89.844 (80.732) Epoch: [36][6320/10010] Time 0.341 (0.332) Data 0.001 (0.001) Loss 1.9655 (1.8080) Prec@1 56.250 (58.978) Prec@5 82.031 (80.733) Epoch: [36][6330/10010] Time 0.345 (0.332) Data 0.001 (0.001) Loss 1.9485 (1.8080) Prec@1 51.562 (58.979) Prec@5 78.125 (80.733) Epoch: [36][6340/10010] Time 0.335 (0.332) Data 0.000 (0.001) Loss 1.6229 (1.8079) Prec@1 60.938 (58.981) Prec@5 83.594 (80.735) Epoch: [36][6350/10010] Time 0.335 (0.332) Data 0.001 (0.001) Loss 1.8646 (1.8079) Prec@1 56.250 (58.980) Prec@5 82.031 (80.735) Epoch: [36][6360/10010] Time 0.335 (0.332) Data 0.000 (0.001) Loss 1.7874 (1.8081) Prec@1 65.625 (58.977) Prec@5 84.375 (80.734) Epoch: [36][6370/10010] Time 0.323 (0.332) Data 0.001 (0.001) Loss 1.8967 (1.8082) Prec@1 55.469 (58.976) Prec@5 78.906 (80.731) Epoch: [36][6380/10010] Time 0.337 (0.332) Data 0.001 (0.001) Loss 1.9762 (1.8083) Prec@1 57.812 (58.978) Prec@5 78.906 (80.731) Epoch: [36][6390/10010] Time 0.322 (0.332) Data 0.001 (0.001) Loss 1.5684 (1.8083) Prec@1 61.719 (58.978) Prec@5 82.031 (80.731) Epoch: [36][6400/10010] Time 0.337 (0.332) Data 0.000 (0.001) Loss 1.8018 (1.8083) Prec@1 57.031 (58.978) Prec@5 81.250 (80.731) Epoch: [36][6410/10010] Time 0.325 (0.332) Data 0.001 (0.001) Loss 2.1834 (1.8084) Prec@1 49.219 (58.974) Prec@5 73.438 (80.727) Epoch: [36][6420/10010] Time 0.340 (0.332) Data 0.001 (0.001) Loss 2.1469 (1.8085) Prec@1 50.000 (58.973) Prec@5 75.000 (80.726) Epoch: [36][6430/10010] Time 0.339 (0.332) Data 0.001 (0.001) Loss 1.9390 (1.8086) Prec@1 55.469 (58.970) Prec@5 81.250 (80.727) Epoch: [36][6440/10010] Time 0.319 (0.332) Data 0.001 (0.001) Loss 1.8306 (1.8086) Prec@1 53.906 (58.968) Prec@5 81.250 (80.725) Epoch: [36][6450/10010] Time 0.326 (0.332) Data 0.001 (0.001) Loss 1.4540 (1.8085) Prec@1 67.188 (58.968) Prec@5 85.938 (80.727) Epoch: [36][6460/10010] Time 0.320 (0.332) Data 0.001 (0.001) Loss 1.6191 (1.8085) Prec@1 59.375 (58.970) Prec@5 84.375 (80.729) Epoch: [36][6470/10010] Time 0.324 (0.332) Data 0.001 (0.001) Loss 1.9416 (1.8084) Prec@1 59.375 (58.972) Prec@5 79.688 (80.730) Epoch: [36][6480/10010] Time 0.322 (0.332) Data 0.001 (0.001) Loss 1.9499 (1.8085) Prec@1 60.156 (58.973) Prec@5 77.344 (80.728) Epoch: [36][6490/10010] Time 0.343 (0.332) Data 0.001 (0.001) Loss 2.1696 (1.8086) Prec@1 48.438 (58.972) Prec@5 73.438 (80.725) Epoch: [36][6500/10010] Time 0.332 (0.332) Data 0.001 (0.001) Loss 1.9328 (1.8088) Prec@1 61.719 (58.971) Prec@5 78.906 (80.723) Epoch: [36][6510/10010] Time 0.345 (0.332) Data 0.001 (0.001) Loss 1.9012 (1.8089) Prec@1 56.250 (58.966) Prec@5 79.688 (80.721) Epoch: [36][6520/10010] Time 0.325 (0.332) Data 0.001 (0.001) Loss 1.5853 (1.8087) Prec@1 64.062 (58.970) Prec@5 84.375 (80.724) Epoch: [36][6530/10010] Time 0.331 (0.332) Data 0.001 (0.001) Loss 1.6250 (1.8088) Prec@1 64.062 (58.969) Prec@5 82.812 (80.722) Epoch: [36][6540/10010] Time 0.344 (0.332) Data 0.001 (0.001) Loss 1.9144 (1.8088) Prec@1 58.594 (58.967) Prec@5 81.250 (80.721) Epoch: [36][6550/10010] Time 0.342 (0.332) Data 0.000 (0.001) Loss 1.6377 (1.8088) Prec@1 64.062 (58.964) Prec@5 85.156 (80.720) Epoch: [36][6560/10010] Time 0.323 (0.332) Data 0.001 (0.001) Loss 1.7005 (1.8089) Prec@1 59.375 (58.962) Prec@5 85.156 (80.719) Epoch: [36][6570/10010] Time 0.335 (0.332) Data 0.001 (0.001) Loss 2.0548 (1.8089) Prec@1 57.812 (58.962) Prec@5 79.688 (80.721) Epoch: [36][6580/10010] Time 0.319 (0.332) Data 0.001 (0.001) Loss 1.7377 (1.8091) Prec@1 59.375 (58.956) Prec@5 85.938 (80.718) Epoch: [36][6590/10010] Time 0.325 (0.332) Data 0.001 (0.001) Loss 1.8202 (1.8091) Prec@1 60.156 (58.956) Prec@5 83.594 (80.719) Epoch: [36][6600/10010] Time 0.337 (0.332) Data 0.001 (0.001) Loss 1.9805 (1.8090) Prec@1 55.469 (58.957) Prec@5 80.469 (80.720) Epoch: [36][6610/10010] Time 0.335 (0.332) Data 0.001 (0.001) Loss 1.6972 (1.8090) Prec@1 57.031 (58.957) Prec@5 80.469 (80.721) Epoch: [36][6620/10010] Time 0.337 (0.332) Data 0.000 (0.001) Loss 1.8666 (1.8089) Prec@1 64.844 (58.959) Prec@5 80.469 (80.722) Epoch: [36][6630/10010] Time 0.323 (0.332) Data 0.001 (0.001) Loss 1.8739 (1.8090) Prec@1 60.938 (58.958) Prec@5 75.781 (80.720) Epoch: [36][6640/10010] Time 0.322 (0.332) Data 0.001 (0.001) Loss 1.4726 (1.8089) Prec@1 60.938 (58.958) Prec@5 82.812 (80.720) Epoch: [36][6650/10010] Time 0.324 (0.332) Data 0.001 (0.001) Loss 1.6046 (1.8090) Prec@1 60.156 (58.958) Prec@5 82.812 (80.718) Epoch: [36][6660/10010] Time 0.321 (0.332) Data 0.001 (0.001) Loss 1.7183 (1.8090) Prec@1 62.500 (58.958) Prec@5 83.594 (80.716) Epoch: [36][6670/10010] Time 0.333 (0.332) Data 0.001 (0.001) Loss 1.6137 (1.8089) Prec@1 60.938 (58.963) Prec@5 79.688 (80.718) Epoch: [36][6680/10010] Time 0.322 (0.332) Data 0.001 (0.001) Loss 1.9130 (1.8090) Prec@1 58.594 (58.963) Prec@5 81.250 (80.718) Epoch: [36][6690/10010] Time 0.333 (0.332) Data 0.001 (0.001) Loss 1.8154 (1.8091) Prec@1 55.469 (58.959) Prec@5 83.594 (80.716) Epoch: [36][6700/10010] Time 0.320 (0.332) Data 0.000 (0.001) Loss 1.8538 (1.8091) Prec@1 57.812 (58.959) Prec@5 79.688 (80.715) Epoch: [36][6710/10010] Time 0.334 (0.332) Data 0.000 (0.001) Loss 1.6382 (1.8092) Prec@1 59.375 (58.958) Prec@5 86.719 (80.713) Epoch: [36][6720/10010] Time 0.323 (0.332) Data 0.001 (0.001) Loss 1.9686 (1.8092) Prec@1 52.344 (58.956) Prec@5 75.000 (80.712) Epoch: [36][6730/10010] Time 0.335 (0.332) Data 0.001 (0.001) Loss 1.8671 (1.8094) Prec@1 53.906 (58.951) Prec@5 80.469 (80.710) Epoch: [36][6740/10010] Time 0.319 (0.332) Data 0.001 (0.001) Loss 2.0416 (1.8095) Prec@1 59.375 (58.951) Prec@5 74.219 (80.708) Epoch: [36][6750/10010] Time 0.339 (0.332) Data 0.000 (0.001) Loss 2.0419 (1.8093) Prec@1 50.781 (58.955) Prec@5 81.250 (80.710) Epoch: [36][6760/10010] Time 0.323 (0.332) Data 0.000 (0.001) Loss 1.6073 (1.8094) Prec@1 64.844 (58.953) Prec@5 83.594 (80.708) Epoch: [36][6770/10010] Time 0.345 (0.332) Data 0.000 (0.001) Loss 1.5209 (1.8094) Prec@1 61.719 (58.953) Prec@5 86.719 (80.707) Epoch: [36][6780/10010] Time 0.328 (0.332) Data 0.001 (0.001) Loss 1.7623 (1.8095) Prec@1 62.500 (58.953) Prec@5 78.906 (80.707) Epoch: [36][6790/10010] Time 0.323 (0.332) Data 0.001 (0.001) Loss 1.7106 (1.8095) Prec@1 60.156 (58.949) Prec@5 82.031 (80.707) Epoch: [36][6800/10010] Time 0.338 (0.332) Data 0.001 (0.001) Loss 1.8524 (1.8096) Prec@1 61.719 (58.948) Prec@5 77.344 (80.704) Epoch: [36][6810/10010] Time 0.329 (0.331) Data 0.000 (0.001) Loss 1.5203 (1.8095) Prec@1 60.156 (58.947) Prec@5 85.938 (80.706) Epoch: [36][6820/10010] Time 0.329 (0.331) Data 0.001 (0.001) Loss 1.6002 (1.8095) Prec@1 63.281 (58.950) Prec@5 85.938 (80.704) Epoch: [36][6830/10010] Time 0.326 (0.331) Data 0.001 (0.001) Loss 1.7271 (1.8095) Prec@1 59.375 (58.948) Prec@5 80.469 (80.703) Epoch: [36][6840/10010] Time 0.324 (0.331) Data 0.001 (0.001) Loss 1.8203 (1.8096) Prec@1 57.031 (58.947) Prec@5 82.812 (80.701) Epoch: [36][6850/10010] Time 0.329 (0.331) Data 0.001 (0.001) Loss 1.8483 (1.8096) Prec@1 56.250 (58.947) Prec@5 82.031 (80.702) Epoch: [36][6860/10010] Time 0.342 (0.331) Data 0.000 (0.001) Loss 1.7170 (1.8095) Prec@1 57.812 (58.947) Prec@5 78.906 (80.700) Epoch: [36][6870/10010] Time 0.341 (0.331) Data 0.001 (0.001) Loss 1.7008 (1.8096) Prec@1 56.250 (58.945) Prec@5 82.031 (80.699) Epoch: [36][6880/10010] Time 0.328 (0.331) Data 0.001 (0.001) Loss 1.8282 (1.8096) Prec@1 58.594 (58.942) Prec@5 82.031 (80.699) Epoch: [36][6890/10010] Time 0.325 (0.331) Data 0.001 (0.001) Loss 2.2252 (1.8098) Prec@1 52.344 (58.939) Prec@5 69.531 (80.697) Epoch: [36][6900/10010] Time 0.331 (0.331) Data 0.001 (0.001) Loss 2.0399 (1.8099) Prec@1 54.688 (58.936) Prec@5 72.656 (80.695) Epoch: [36][6910/10010] Time 0.330 (0.331) Data 0.000 (0.001) Loss 1.4780 (1.8098) Prec@1 61.719 (58.936) Prec@5 85.156 (80.695) Epoch: [36][6920/10010] Time 0.341 (0.331) Data 0.001 (0.001) Loss 1.8617 (1.8099) Prec@1 50.781 (58.935) Prec@5 79.688 (80.694) Epoch: [36][6930/10010] Time 0.330 (0.331) Data 0.001 (0.001) Loss 1.7705 (1.8098) Prec@1 57.031 (58.934) Prec@5 79.688 (80.696) Epoch: [36][6940/10010] Time 0.324 (0.331) Data 0.001 (0.001) Loss 2.2479 (1.8099) Prec@1 50.000 (58.932) Prec@5 75.781 (80.695) Epoch: [36][6950/10010] Time 0.346 (0.331) Data 0.000 (0.001) Loss 2.0931 (1.8101) Prec@1 57.031 (58.929) Prec@5 74.219 (80.692) Epoch: [36][6960/10010] Time 0.321 (0.331) Data 0.001 (0.001) Loss 1.8034 (1.8101) Prec@1 65.625 (58.929) Prec@5 82.812 (80.692) Epoch: [36][6970/10010] Time 0.323 (0.331) Data 0.001 (0.001) Loss 2.0104 (1.8099) Prec@1 60.938 (58.933) Prec@5 76.562 (80.694) Epoch: [36][6980/10010] Time 0.325 (0.331) Data 0.001 (0.001) Loss 1.9223 (1.8099) Prec@1 53.125 (58.932) Prec@5 78.906 (80.695) Epoch: [36][6990/10010] Time 0.321 (0.331) Data 0.001 (0.001) Loss 1.6465 (1.8097) Prec@1 66.406 (58.938) Prec@5 83.594 (80.698) Epoch: [36][7000/10010] Time 0.340 (0.331) Data 0.001 (0.001) Loss 1.9291 (1.8098) Prec@1 57.031 (58.936) Prec@5 79.688 (80.697) Epoch: [36][7010/10010] Time 0.332 (0.331) Data 0.000 (0.001) Loss 1.9375 (1.8099) Prec@1 57.031 (58.935) Prec@5 75.781 (80.693) Epoch: [36][7020/10010] Time 0.336 (0.331) Data 0.001 (0.001) Loss 1.8849 (1.8100) Prec@1 53.125 (58.933) Prec@5 80.469 (80.693) Epoch: [36][7030/10010] Time 0.321 (0.331) Data 0.001 (0.001) Loss 1.8420 (1.8098) Prec@1 66.406 (58.937) Prec@5 82.031 (80.695) Epoch: [36][7040/10010] Time 0.339 (0.331) Data 0.001 (0.001) Loss 2.4005 (1.8099) Prec@1 50.000 (58.935) Prec@5 69.531 (80.694) Epoch: [36][7050/10010] Time 0.323 (0.331) Data 0.000 (0.001) Loss 1.8503 (1.8099) Prec@1 60.938 (58.938) Prec@5 76.562 (80.694) Epoch: [36][7060/10010] Time 0.316 (0.331) Data 0.001 (0.001) Loss 1.8908 (1.8098) Prec@1 57.031 (58.937) Prec@5 78.906 (80.692) Epoch: [36][7070/10010] Time 0.322 (0.331) Data 0.000 (0.001) Loss 1.8533 (1.8099) Prec@1 57.812 (58.936) Prec@5 78.906 (80.693) Epoch: [36][7080/10010] Time 0.331 (0.331) Data 0.001 (0.001) Loss 1.9234 (1.8099) Prec@1 55.469 (58.938) Prec@5 78.906 (80.693) Epoch: [36][7090/10010] Time 0.338 (0.331) Data 0.000 (0.001) Loss 1.7566 (1.8100) Prec@1 55.469 (58.934) Prec@5 82.812 (80.692) Epoch: [36][7100/10010] Time 0.339 (0.331) Data 0.001 (0.001) Loss 2.0899 (1.8100) Prec@1 53.125 (58.935) Prec@5 75.781 (80.693) Epoch: [36][7110/10010] Time 0.318 (0.331) Data 0.001 (0.001) Loss 2.0123 (1.8100) Prec@1 51.562 (58.934) Prec@5 78.125 (80.693) Epoch: [36][7120/10010] Time 0.326 (0.331) Data 0.001 (0.001) Loss 1.7011 (1.8100) Prec@1 57.812 (58.936) Prec@5 83.594 (80.693) Epoch: [36][7130/10010] Time 0.326 (0.331) Data 0.001 (0.001) Loss 1.6621 (1.8099) Prec@1 64.844 (58.939) Prec@5 84.375 (80.694) Epoch: [36][7140/10010] Time 0.325 (0.331) Data 0.000 (0.001) Loss 1.8261 (1.8099) Prec@1 60.156 (58.935) Prec@5 82.812 (80.695) Epoch: [36][7150/10010] Time 0.323 (0.331) Data 0.001 (0.001) Loss 2.2311 (1.8100) Prec@1 54.688 (58.935) Prec@5 75.000 (80.693) Epoch: [36][7160/10010] Time 0.327 (0.331) Data 0.001 (0.001) Loss 1.9771 (1.8101) Prec@1 50.781 (58.933) Prec@5 82.031 (80.693) Epoch: [36][7170/10010] Time 0.334 (0.331) Data 0.001 (0.001) Loss 2.1171 (1.8101) Prec@1 50.000 (58.931) Prec@5 75.781 (80.692) Epoch: [36][7180/10010] Time 0.339 (0.331) Data 0.000 (0.001) Loss 2.1197 (1.8104) Prec@1 53.906 (58.927) Prec@5 74.219 (80.689) Epoch: [36][7190/10010] Time 0.342 (0.331) Data 0.000 (0.001) Loss 1.6100 (1.8104) Prec@1 60.156 (58.925) Prec@5 85.938 (80.690) /data/vision/torralba/deepscene/lib/anaconda2/lib/python2.7/site-packages/PIL/TiffImagePlugin.py:692: UserWarning: Possibly corrupt EXIF data. Expecting to read 2555904 bytes but only got 0. Skipping tag 0 "Skipping tag %s" % (size, len(data), tag)) Epoch: [36][7200/10010] Time 0.328 (0.331) Data 0.001 (0.001) Loss 1.8438 (1.8106) Prec@1 58.594 (58.923) Prec@5 77.344 (80.687) Epoch: [36][7210/10010] Time 0.326 (0.331) Data 0.001 (0.001) Loss 1.6198 (1.8106) Prec@1 62.500 (58.922) Prec@5 82.031 (80.686) Epoch: [36][7220/10010] Time 0.323 (0.331) Data 0.000 (0.001) Loss 1.9132 (1.8106) Prec@1 55.469 (58.921) Prec@5 79.688 (80.686) Epoch: [36][7230/10010] Time 0.337 (0.331) Data 0.000 (0.001) Loss 2.0576 (1.8108) Prec@1 51.562 (58.917) Prec@5 77.344 (80.684) Epoch: [36][7240/10010] Time 0.336 (0.331) Data 0.001 (0.001) Loss 1.8447 (1.8108) Prec@1 60.156 (58.918) Prec@5 76.562 (80.682) Epoch: [36][7250/10010] Time 0.338 (0.331) Data 0.000 (0.001) Loss 1.9502 (1.8108) Prec@1 57.812 (58.919) Prec@5 78.125 (80.682) Epoch: [36][7260/10010] Time 0.343 (0.331) Data 0.000 (0.001) Loss 1.9680 (1.8110) Prec@1 57.812 (58.915) Prec@5 80.469 (80.679) Epoch: [36][7270/10010] Time 0.332 (0.331) Data 0.000 (0.001) Loss 2.2581 (1.8111) Prec@1 50.781 (58.913) Prec@5 73.438 (80.678) Epoch: [36][7280/10010] Time 0.337 (0.331) Data 0.001 (0.001) Loss 2.0072 (1.8112) Prec@1 59.375 (58.911) Prec@5 77.344 (80.676) Epoch: [36][7290/10010] Time 0.335 (0.331) Data 0.001 (0.001) Loss 1.6994 (1.8112) Prec@1 57.812 (58.911) Prec@5 81.250 (80.677) Epoch: [36][7300/10010] Time 0.335 (0.331) Data 0.001 (0.001) Loss 1.7577 (1.8111) Prec@1 63.281 (58.911) Prec@5 82.031 (80.678) Epoch: [36][7310/10010] Time 0.335 (0.331) Data 0.001 (0.001) Loss 1.7996 (1.8110) Prec@1 50.000 (58.912) Prec@5 83.594 (80.680) Epoch: [36][7320/10010] Time 0.339 (0.331) Data 0.001 (0.001) Loss 1.8465 (1.8110) Prec@1 50.781 (58.909) Prec@5 81.250 (80.680) Epoch: [36][7330/10010] Time 0.334 (0.331) Data 0.001 (0.001) Loss 1.7763 (1.8110) Prec@1 60.156 (58.909) Prec@5 81.250 (80.679) Epoch: [36][7340/10010] Time 0.342 (0.331) Data 0.001 (0.001) Loss 1.8609 (1.8110) Prec@1 58.594 (58.910) Prec@5 78.125 (80.680) Epoch: [36][7350/10010] Time 0.319 (0.331) Data 0.001 (0.001) Loss 1.9327 (1.8110) Prec@1 55.469 (58.912) Prec@5 77.344 (80.679) Epoch: [36][7360/10010] Time 0.324 (0.331) Data 0.000 (0.001) Loss 2.0112 (1.8111) Prec@1 57.031 (58.911) Prec@5 78.906 (80.677) Epoch: [36][7370/10010] Time 0.329 (0.331) Data 0.001 (0.001) Loss 1.8301 (1.8110) Prec@1 55.469 (58.909) Prec@5 78.125 (80.676) Epoch: [36][7380/10010] Time 0.311 (0.331) Data 0.001 (0.001) Loss 1.5902 (1.8111) Prec@1 63.281 (58.905) Prec@5 84.375 (80.677) Epoch: [36][7390/10010] Time 0.337 (0.331) Data 0.001 (0.001) Loss 1.8361 (1.8111) Prec@1 61.719 (58.906) Prec@5 79.688 (80.677) Epoch: [36][7400/10010] Time 0.332 (0.331) Data 0.000 (0.001) Loss 1.9220 (1.8111) Prec@1 57.031 (58.906) Prec@5 80.469 (80.676) Epoch: [36][7410/10010] Time 0.331 (0.331) Data 0.001 (0.001) Loss 1.9920 (1.8111) Prec@1 54.688 (58.907) Prec@5 77.344 (80.676) Epoch: [36][7420/10010] Time 0.318 (0.331) Data 0.001 (0.001) Loss 1.8031 (1.8113) Prec@1 57.812 (58.906) Prec@5 82.031 (80.673) Epoch: [36][7430/10010] Time 0.337 (0.331) Data 0.001 (0.001) Loss 1.8088 (1.8113) Prec@1 55.469 (58.904) Prec@5 82.812 (80.672) Epoch: [36][7440/10010] Time 0.335 (0.331) Data 0.001 (0.001) Loss 1.8646 (1.8113) Prec@1 57.031 (58.901) Prec@5 80.469 (80.674) Epoch: [36][7450/10010] Time 0.327 (0.331) Data 0.001 (0.001) Loss 1.9948 (1.8114) Prec@1 52.344 (58.900) Prec@5 78.125 (80.674) Epoch: [36][7460/10010] Time 0.334 (0.331) Data 0.001 (0.001) Loss 1.4340 (1.8113) Prec@1 64.844 (58.898) Prec@5 85.156 (80.676) Epoch: [36][7470/10010] Time 0.332 (0.331) Data 0.000 (0.001) Loss 1.7498 (1.8114) Prec@1 63.281 (58.896) Prec@5 81.250 (80.675) Epoch: [36][7480/10010] Time 0.325 (0.331) Data 0.001 (0.001) Loss 1.9303 (1.8113) Prec@1 57.031 (58.897) Prec@5 76.562 (80.675) Epoch: [36][7490/10010] Time 0.324 (0.331) Data 0.001 (0.001) Loss 1.7898 (1.8113) Prec@1 60.156 (58.897) Prec@5 82.812 (80.675) Epoch: [36][7500/10010] Time 0.343 (0.331) Data 0.000 (0.001) Loss 1.9364 (1.8114) Prec@1 58.594 (58.896) Prec@5 77.344 (80.674) Epoch: [36][7510/10010] Time 0.330 (0.331) Data 0.001 (0.001) Loss 1.6785 (1.8114) Prec@1 57.812 (58.895) Prec@5 85.156 (80.675) Epoch: [36][7520/10010] Time 0.339 (0.331) Data 0.001 (0.001) Loss 1.8052 (1.8114) Prec@1 63.281 (58.895) Prec@5 81.250 (80.674) Epoch: [36][7530/10010] Time 0.327 (0.331) Data 0.000 (0.001) Loss 2.2683 (1.8115) Prec@1 48.438 (58.893) Prec@5 75.781 (80.672) Epoch: [36][7540/10010] Time 0.338 (0.331) Data 0.001 (0.001) Loss 1.7148 (1.8116) Prec@1 57.812 (58.890) Prec@5 82.812 (80.670) Epoch: [36][7550/10010] Time 0.326 (0.331) Data 0.001 (0.001) Loss 1.2316 (1.8115) Prec@1 67.969 (58.892) Prec@5 91.406 (80.673) Epoch: [36][7560/10010] Time 0.326 (0.331) Data 0.001 (0.001) Loss 1.4658 (1.8114) Prec@1 67.188 (58.896) Prec@5 83.594 (80.673) Epoch: [36][7570/10010] Time 0.326 (0.331) Data 0.001 (0.001) Loss 1.8464 (1.8114) Prec@1 59.375 (58.897) Prec@5 82.031 (80.675) Epoch: [36][7580/10010] Time 0.342 (0.331) Data 0.000 (0.001) Loss 1.8572 (1.8114) Prec@1 57.031 (58.897) Prec@5 78.906 (80.675) Epoch: [36][7590/10010] Time 0.340 (0.331) Data 0.001 (0.001) Loss 1.5536 (1.8113) Prec@1 64.844 (58.898) Prec@5 83.594 (80.676) Epoch: [36][7600/10010] Time 0.339 (0.331) Data 0.001 (0.001) Loss 2.0904 (1.8113) Prec@1 56.250 (58.900) Prec@5 82.031 (80.677) Epoch: [36][7610/10010] Time 0.325 (0.331) Data 0.001 (0.001) Loss 2.0598 (1.8114) Prec@1 55.469 (58.898) Prec@5 74.219 (80.674) Epoch: [36][7620/10010] Time 0.342 (0.331) Data 0.001 (0.001) Loss 1.8783 (1.8115) Prec@1 53.906 (58.896) Prec@5 82.031 (80.674) Epoch: [36][7630/10010] Time 0.314 (0.331) Data 0.001 (0.001) Loss 1.9847 (1.8116) Prec@1 55.469 (58.894) Prec@5 78.906 (80.673) Epoch: [36][7640/10010] Time 0.329 (0.331) Data 0.000 (0.001) Loss 1.5785 (1.8116) Prec@1 65.625 (58.893) Prec@5 82.812 (80.672) Epoch: [36][7650/10010] Time 0.329 (0.331) Data 0.001 (0.001) Loss 1.6526 (1.8118) Prec@1 59.375 (58.888) Prec@5 84.375 (80.672) Epoch: [36][7660/10010] Time 0.320 (0.331) Data 0.001 (0.001) Loss 1.7939 (1.8118) Prec@1 59.375 (58.888) Prec@5 82.031 (80.673) Epoch: [36][7670/10010] Time 0.329 (0.331) Data 0.001 (0.001) Loss 1.8510 (1.8118) Prec@1 60.156 (58.890) Prec@5 80.469 (80.672) Epoch: [36][7680/10010] Time 0.337 (0.331) Data 0.001 (0.001) Loss 1.6889 (1.8118) Prec@1 62.500 (58.892) Prec@5 85.938 (80.672) Epoch: [36][7690/10010] Time 0.326 (0.331) Data 0.001 (0.001) Loss 1.7251 (1.8117) Prec@1 61.719 (58.893) Prec@5 81.250 (80.674) Epoch: [36][7700/10010] Time 0.333 (0.331) Data 0.001 (0.001) Loss 1.7938 (1.8117) Prec@1 60.938 (58.892) Prec@5 78.906 (80.674) Epoch: [36][7710/10010] Time 0.331 (0.331) Data 0.000 (0.001) Loss 1.8221 (1.8116) Prec@1 59.375 (58.893) Prec@5 82.031 (80.676) Epoch: [36][7720/10010] Time 0.329 (0.331) Data 0.001 (0.001) Loss 1.4669 (1.8116) Prec@1 69.531 (58.894) Prec@5 89.062 (80.675) Epoch: [36][7730/10010] Time 0.333 (0.331) Data 0.000 (0.001) Loss 2.0211 (1.8117) Prec@1 51.562 (58.891) Prec@5 76.562 (80.673) Epoch: [36][7740/10010] Time 0.331 (0.331) Data 0.001 (0.001) Loss 2.1136 (1.8119) Prec@1 51.562 (58.886) Prec@5 76.562 (80.672) Epoch: [36][7750/10010] Time 0.329 (0.331) Data 0.001 (0.001) Loss 1.6203 (1.8118) Prec@1 64.062 (58.886) Prec@5 86.719 (80.673) Epoch: [36][7760/10010] Time 0.317 (0.331) Data 0.001 (0.001) Loss 2.0932 (1.8118) Prec@1 53.906 (58.885) Prec@5 76.562 (80.674) Epoch: [36][7770/10010] Time 0.342 (0.331) Data 0.001 (0.001) Loss 1.8030 (1.8118) Prec@1 56.250 (58.887) Prec@5 81.250 (80.676) Epoch: [36][7780/10010] Time 0.322 (0.331) Data 0.001 (0.001) Loss 1.6700 (1.8117) Prec@1 62.500 (58.890) Prec@5 85.938 (80.678) Epoch: [36][7790/10010] Time 0.330 (0.331) Data 0.000 (0.001) Loss 1.8319 (1.8117) Prec@1 58.594 (58.889) Prec@5 82.812 (80.678) Epoch: [36][7800/10010] Time 0.323 (0.332) Data 0.000 (0.001) Loss 1.7233 (1.8118) Prec@1 65.625 (58.889) Prec@5 78.906 (80.678) Epoch: [36][7810/10010] Time 0.319 (0.332) Data 0.001 (0.001) Loss 1.7972 (1.8118) Prec@1 57.812 (58.891) Prec@5 81.250 (80.678) Epoch: [36][7820/10010] Time 0.343 (0.332) Data 0.001 (0.001) Loss 1.8914 (1.8119) Prec@1 52.344 (58.889) Prec@5 79.688 (80.677) Epoch: [36][7830/10010] Time 0.329 (0.332) Data 0.000 (0.001) Loss 1.6695 (1.8118) Prec@1 58.594 (58.889) Prec@5 83.594 (80.678) Epoch: [36][7840/10010] Time 0.333 (0.332) Data 0.000 (0.001) Loss 1.9958 (1.8118) Prec@1 54.688 (58.887) Prec@5 79.688 (80.678) Epoch: [36][7850/10010] Time 0.344 (0.332) Data 0.001 (0.001) Loss 1.7663 (1.8117) Prec@1 57.812 (58.889) Prec@5 81.250 (80.679) Epoch: [36][7860/10010] Time 0.323 (0.332) Data 0.001 (0.001) Loss 1.7509 (1.8117) Prec@1 59.375 (58.887) Prec@5 82.812 (80.680) Epoch: [36][7870/10010] Time 0.332 (0.332) Data 0.001 (0.001) Loss 2.0574 (1.8116) Prec@1 56.250 (58.891) Prec@5 78.906 (80.683) Epoch: [36][7880/10010] Time 0.339 (0.332) Data 0.001 (0.001) Loss 1.7718 (1.8115) Prec@1 59.375 (58.893) Prec@5 85.938 (80.685) Epoch: [36][7890/10010] Time 0.327 (0.332) Data 0.001 (0.001) Loss 1.5941 (1.8116) Prec@1 64.844 (58.893) Prec@5 85.156 (80.684) Epoch: [36][7900/10010] Time 0.320 (0.332) Data 0.000 (0.001) Loss 2.1930 (1.8116) Prec@1 49.219 (58.892) Prec@5 76.562 (80.683) Epoch: [36][7910/10010] Time 0.311 (0.334) Data 0.001 (0.001) Loss 1.7934 (1.8116) Prec@1 57.031 (58.890) Prec@5 84.375 (80.682) Epoch: [36][7920/10010] Time 0.309 (0.334) Data 0.001 (0.001) Loss 1.6299 (1.8117) Prec@1 62.500 (58.888) Prec@5 82.031 (80.681) Epoch: [36][7930/10010] Time 0.313 (0.334) Data 0.000 (0.001) Loss 2.0334 (1.8117) Prec@1 50.781 (58.889) Prec@5 74.219 (80.680) Epoch: [36][7940/10010] Time 0.314 (0.334) Data 0.001 (0.001) Loss 2.0129 (1.8116) Prec@1 50.781 (58.889) Prec@5 80.469 (80.683) Epoch: [36][7950/10010] Time 0.318 (0.334) Data 0.000 (0.001) Loss 1.5931 (1.8117) Prec@1 62.500 (58.889) Prec@5 83.594 (80.680) Epoch: [36][7960/10010] Time 0.318 (0.334) Data 0.001 (0.001) Loss 1.6014 (1.8118) Prec@1 60.156 (58.885) Prec@5 82.031 (80.678) Epoch: [36][7970/10010] Time 0.319 (0.334) Data 0.001 (0.001) Loss 2.0831 (1.8117) Prec@1 57.031 (58.885) Prec@5 78.906 (80.680) Epoch: [36][7980/10010] Time 0.316 (0.334) Data 0.000 (0.001) Loss 1.6578 (1.8116) Prec@1 59.375 (58.888) Prec@5 81.250 (80.683) Epoch: [36][7990/10010] Time 0.317 (0.334) Data 0.001 (0.001) Loss 1.7090 (1.8115) Prec@1 59.375 (58.887) Prec@5 78.125 (80.683) Epoch: [36][8000/10010] Time 0.323 (0.334) Data 0.000 (0.001) Loss 2.1026 (1.8116) Prec@1 53.125 (58.886) Prec@5 75.000 (80.681) Epoch: [36][8010/10010] Time 0.313 (0.334) Data 0.001 (0.001) Loss 1.7702 (1.8116) Prec@1 64.062 (58.887) Prec@5 80.469 (80.681) Epoch: [36][8020/10010] Time 0.309 (0.334) Data 0.001 (0.001) Loss 1.7402 (1.8117) Prec@1 61.719 (58.888) Prec@5 82.812 (80.680) Epoch: [36][8030/10010] Time 0.327 (0.334) Data 0.001 (0.001) Loss 2.2707 (1.8117) Prec@1 56.250 (58.886) Prec@5 74.219 (80.681) Epoch: [36][8040/10010] Time 0.334 (0.334) Data 0.001 (0.001) Loss 1.7780 (1.8116) Prec@1 58.594 (58.888) Prec@5 81.250 (80.681) Epoch: [36][8050/10010] Time 0.318 (0.335) Data 0.001 (0.001) Loss 1.7470 (1.8117) Prec@1 57.812 (58.887) Prec@5 82.812 (80.681) Epoch: [36][8060/10010] Time 0.316 (0.335) Data 0.001 (0.001) Loss 1.7320 (1.8116) Prec@1 58.594 (58.889) Prec@5 86.719 (80.684) Epoch: [36][8070/10010] Time 0.310 (0.335) Data 0.001 (0.001) Loss 1.6321 (1.8116) Prec@1 59.375 (58.887) Prec@5 85.156 (80.683) Epoch: [36][8080/10010] Time 0.316 (0.336) Data 0.000 (0.002) Loss 1.9750 (1.8117) Prec@1 57.812 (58.885) Prec@5 82.031 (80.683) Epoch: [36][8090/10010] Time 0.316 (0.336) Data 0.001 (0.002) Loss 1.9587 (1.8117) Prec@1 52.344 (58.884) Prec@5 77.344 (80.682) Epoch: [36][8100/10010] Time 0.317 (0.336) Data 0.000 (0.002) Loss 1.7727 (1.8118) Prec@1 60.156 (58.880) Prec@5 83.594 (80.681) Epoch: [36][8110/10010] Time 0.320 (0.336) Data 0.000 (0.002) Loss 1.7407 (1.8120) Prec@1 57.031 (58.879) Prec@5 82.031 (80.679) Epoch: [36][8120/10010] Time 0.317 (0.336) Data 0.000 (0.002) Loss 1.5141 (1.8120) Prec@1 64.062 (58.879) Prec@5 83.594 (80.678) Epoch: [36][8130/10010] Time 0.318 (0.336) Data 0.001 (0.002) Loss 1.9733 (1.8121) Prec@1 51.562 (58.875) Prec@5 78.125 (80.677) Epoch: [36][8140/10010] Time 0.317 (0.336) Data 0.001 (0.002) Loss 1.7509 (1.8122) Prec@1 57.031 (58.875) Prec@5 82.812 (80.676) Epoch: [36][8150/10010] Time 0.338 (0.336) Data 0.001 (0.002) Loss 1.5199 (1.8121) Prec@1 59.375 (58.873) Prec@5 83.594 (80.676) Epoch: [36][8160/10010] Time 0.330 (0.336) Data 0.001 (0.002) Loss 1.6408 (1.8122) Prec@1 63.281 (58.871) Prec@5 84.375 (80.673) Epoch: [36][8170/10010] Time 0.312 (0.336) Data 0.001 (0.002) Loss 1.9677 (1.8123) Prec@1 53.125 (58.870) Prec@5 78.125 (80.672) Epoch: [36][8180/10010] Time 0.324 (0.336) Data 0.001 (0.002) Loss 1.7734 (1.8123) Prec@1 60.938 (58.872) Prec@5 82.812 (80.672) Epoch: [36][8190/10010] Time 0.336 (0.336) Data 0.000 (0.002) Loss 1.5863 (1.8122) Prec@1 67.969 (58.874) Prec@5 86.719 (80.672) Epoch: [36][8200/10010] Time 0.333 (0.336) Data 0.001 (0.002) Loss 1.5562 (1.8122) Prec@1 63.281 (58.875) Prec@5 83.594 (80.673) Epoch: [36][8210/10010] Time 0.337 (0.336) Data 0.001 (0.002) Loss 1.7655 (1.8121) Prec@1 60.156 (58.879) Prec@5 83.594 (80.674) Epoch: [36][8220/10010] Time 0.317 (0.336) Data 0.001 (0.002) Loss 1.9059 (1.8120) Prec@1 58.594 (58.880) Prec@5 81.250 (80.675) Epoch: [36][8230/10010] Time 0.311 (0.336) Data 0.001 (0.002) Loss 1.8331 (1.8120) Prec@1 55.469 (58.880) Prec@5 82.031 (80.676) Epoch: [36][8240/10010] Time 0.319 (0.336) Data 0.000 (0.002) Loss 1.6276 (1.8119) Prec@1 60.938 (58.880) Prec@5 85.156 (80.677) Epoch: [36][8250/10010] Time 0.318 (0.336) Data 0.000 (0.002) Loss 1.8027 (1.8119) Prec@1 57.031 (58.880) Prec@5 81.250 (80.679) Epoch: [36][8260/10010] Time 0.319 (0.336) Data 0.001 (0.002) Loss 1.7520 (1.8120) Prec@1 61.719 (58.878) Prec@5 83.594 (80.678) Epoch: [36][8270/10010] Time 0.337 (0.336) Data 0.000 (0.002) Loss 1.5094 (1.8120) Prec@1 65.625 (58.877) Prec@5 85.938 (80.677) Epoch: [36][8280/10010] Time 0.320 (0.336) Data 0.000 (0.002) Loss 1.8286 (1.8120) Prec@1 61.719 (58.877) Prec@5 79.688 (80.678) Epoch: [36][8290/10010] Time 0.311 (0.336) Data 0.000 (0.002) Loss 1.4626 (1.8120) Prec@1 65.625 (58.877) Prec@5 89.062 (80.678) Epoch: [36][8300/10010] Time 0.331 (0.336) Data 0.001 (0.002) Loss 2.0377 (1.8120) Prec@1 53.906 (58.878) Prec@5 75.781 (80.678) Epoch: [36][8310/10010] Time 0.319 (0.336) Data 0.001 (0.002) Loss 2.2987 (1.8121) Prec@1 48.438 (58.877) Prec@5 74.219 (80.677) Epoch: [36][8320/10010] Time 0.320 (0.338) Data 0.001 (0.002) Loss 1.8484 (1.8120) Prec@1 59.375 (58.878) Prec@5 75.781 (80.677) Epoch: [36][8330/10010] Time 0.316 (0.338) Data 0.001 (0.002) Loss 2.0220 (1.8121) Prec@1 53.906 (58.876) Prec@5 76.562 (80.677) Epoch: [36][8340/10010] Time 0.313 (0.338) Data 0.001 (0.002) Loss 1.9314 (1.8121) Prec@1 57.031 (58.877) Prec@5 75.781 (80.675) Epoch: [36][8350/10010] Time 0.317 (0.338) Data 0.001 (0.002) Loss 1.6972 (1.8121) Prec@1 58.594 (58.876) Prec@5 82.812 (80.676) Epoch: [36][8360/10010] Time 0.316 (0.338) Data 0.001 (0.002) Loss 1.8659 (1.8121) Prec@1 57.812 (58.875) Prec@5 81.250 (80.675) Epoch: [36][8370/10010] Time 0.318 (0.338) Data 0.001 (0.002) Loss 1.8411 (1.8122) Prec@1 53.906 (58.877) Prec@5 84.375 (80.675) Epoch: [36][8380/10010] Time 0.316 (0.338) Data 0.001 (0.002) Loss 1.6790 (1.8122) Prec@1 58.594 (58.877) Prec@5 82.031 (80.674) Epoch: [36][8390/10010] Time 0.313 (0.338) Data 0.000 (0.002) Loss 1.9821 (1.8121) Prec@1 54.688 (58.879) Prec@5 77.344 (80.676) Epoch: [36][8400/10010] Time 0.313 (0.338) Data 0.001 (0.002) Loss 2.2225 (1.8122) Prec@1 55.469 (58.877) Prec@5 75.781 (80.674) Epoch: [36][8410/10010] Time 0.317 (0.338) Data 0.001 (0.002) Loss 1.8151 (1.8122) Prec@1 53.125 (58.875) Prec@5 82.812 (80.673) Epoch: [36][8420/10010] Time 0.332 (0.338) Data 0.001 (0.002) Loss 1.8832 (1.8124) Prec@1 58.594 (58.873) Prec@5 80.469 (80.671) Epoch: [36][8430/10010] Time 0.344 (0.338) Data 0.001 (0.002) Loss 1.6986 (1.8124) Prec@1 61.719 (58.872) Prec@5 81.250 (80.669) Epoch: [36][8440/10010] Time 0.332 (0.338) Data 0.000 (0.002) Loss 1.8465 (1.8125) Prec@1 65.625 (58.872) Prec@5 81.250 (80.667) Epoch: [36][8450/10010] Time 0.323 (0.338) Data 0.001 (0.002) Loss 1.9991 (1.8126) Prec@1 53.906 (58.869) Prec@5 77.344 (80.665) Epoch: [36][8460/10010] Time 0.331 (0.337) Data 0.001 (0.002) Loss 2.0308 (1.8127) Prec@1 58.594 (58.871) Prec@5 79.688 (80.665) Epoch: [36][8470/10010] Time 0.332 (0.337) Data 0.001 (0.002) Loss 1.9099 (1.8126) Prec@1 54.688 (58.871) Prec@5 74.219 (80.665) Epoch: [36][8480/10010] Time 0.323 (0.337) Data 0.001 (0.002) Loss 1.7911 (1.8125) Prec@1 57.812 (58.874) Prec@5 82.812 (80.666) Epoch: [36][8490/10010] Time 0.318 (0.337) Data 0.001 (0.002) Loss 1.8791 (1.8125) Prec@1 54.688 (58.874) Prec@5 77.344 (80.666) Epoch: [36][8500/10010] Time 0.338 (0.337) Data 0.001 (0.002) Loss 1.8293 (1.8126) Prec@1 59.375 (58.872) Prec@5 78.906 (80.663) Epoch: [36][8510/10010] Time 0.328 (0.337) Data 0.001 (0.002) Loss 1.7610 (1.8125) Prec@1 54.688 (58.873) Prec@5 82.812 (80.665) Epoch: [36][8520/10010] Time 0.340 (0.337) Data 0.001 (0.002) Loss 1.8345 (1.8125) Prec@1 55.469 (58.872) Prec@5 81.250 (80.666) Epoch: [36][8530/10010] Time 0.332 (0.337) Data 0.001 (0.002) Loss 1.7612 (1.8125) Prec@1 56.250 (58.870) Prec@5 82.031 (80.665) Epoch: [36][8540/10010] Time 0.336 (0.337) Data 0.000 (0.002) Loss 1.6113 (1.8124) Prec@1 60.156 (58.873) Prec@5 79.688 (80.667) Epoch: [36][8550/10010] Time 0.321 (0.337) Data 0.000 (0.002) Loss 1.5768 (1.8124) Prec@1 65.625 (58.872) Prec@5 86.719 (80.666) Epoch: [36][8560/10010] Time 0.334 (0.337) Data 0.001 (0.002) Loss 1.7573 (1.8123) Prec@1 61.719 (58.875) Prec@5 83.594 (80.668) Epoch: [36][8570/10010] Time 0.335 (0.337) Data 0.001 (0.002) Loss 2.0836 (1.8125) Prec@1 57.031 (58.873) Prec@5 74.219 (80.664) Epoch: [36][8580/10010] Time 0.329 (0.337) Data 0.000 (0.002) Loss 1.8307 (1.8125) Prec@1 57.031 (58.873) Prec@5 81.250 (80.664) Epoch: [36][8590/10010] Time 0.321 (0.337) Data 0.001 (0.002) Loss 1.7330 (1.8127) Prec@1 59.375 (58.869) Prec@5 80.469 (80.661) Epoch: [36][8600/10010] Time 0.339 (0.337) Data 0.000 (0.002) Loss 2.0120 (1.8127) Prec@1 50.000 (58.869) Prec@5 78.906 (80.661) Epoch: [36][8610/10010] Time 0.334 (0.337) Data 0.001 (0.002) Loss 1.7008 (1.8126) Prec@1 60.156 (58.872) Prec@5 78.906 (80.663) Epoch: [36][8620/10010] Time 0.314 (0.337) Data 0.001 (0.002) Loss 1.8117 (1.8126) Prec@1 57.812 (58.870) Prec@5 82.812 (80.663) Epoch: [36][8630/10010] Time 0.335 (0.337) Data 0.001 (0.002) Loss 1.9687 (1.8126) Prec@1 55.469 (58.867) Prec@5 78.906 (80.664) Epoch: [36][8640/10010] Time 0.338 (0.337) Data 0.000 (0.002) Loss 2.0865 (1.8128) Prec@1 56.250 (58.863) Prec@5 75.781 (80.661) Epoch: [36][8650/10010] Time 0.320 (0.337) Data 0.001 (0.002) Loss 1.6960 (1.8127) Prec@1 55.469 (58.862) Prec@5 84.375 (80.661) Epoch: [36][8660/10010] Time 0.338 (0.337) Data 0.001 (0.002) Loss 1.9219 (1.8127) Prec@1 64.062 (58.862) Prec@5 77.344 (80.663) Epoch: [36][8670/10010] Time 0.323 (0.337) Data 0.001 (0.002) Loss 1.9176 (1.8127) Prec@1 49.219 (58.862) Prec@5 78.125 (80.663) Epoch: [36][8680/10010] Time 0.340 (0.337) Data 0.001 (0.002) Loss 1.8884 (1.8127) Prec@1 50.781 (58.862) Prec@5 80.469 (80.664) Epoch: [36][8690/10010] Time 0.335 (0.337) Data 0.000 (0.002) Loss 2.1520 (1.8127) Prec@1 53.906 (58.860) Prec@5 75.000 (80.661) Epoch: [36][8700/10010] Time 0.321 (0.337) Data 0.001 (0.002) Loss 1.4889 (1.8127) Prec@1 68.750 (58.862) Prec@5 87.500 (80.664) Epoch: [36][8710/10010] Time 0.328 (0.337) Data 0.000 (0.002) Loss 2.1721 (1.8128) Prec@1 51.562 (58.859) Prec@5 75.781 (80.662) Epoch: [36][8720/10010] Time 0.313 (0.337) Data 0.001 (0.002) Loss 1.7262 (1.8128) Prec@1 61.719 (58.857) Prec@5 80.469 (80.661) /data/vision/torralba/deepscene/lib/anaconda2/lib/python2.7/site-packages/PIL/TiffImagePlugin.py:692: UserWarning: Possibly corrupt EXIF data. Expecting to read 19660800 bytes but only got 0. Skipping tag 0 "Skipping tag %s" % (size, len(data), tag)) /data/vision/torralba/deepscene/lib/anaconda2/lib/python2.7/site-packages/PIL/TiffImagePlugin.py:692: UserWarning: Possibly corrupt EXIF data. Expecting to read 18481152 bytes but only got 0. Skipping tag 0 "Skipping tag %s" % (size, len(data), tag)) /data/vision/torralba/deepscene/lib/anaconda2/lib/python2.7/site-packages/PIL/TiffImagePlugin.py:692: UserWarning: Possibly corrupt EXIF data. Expecting to read 37093376 bytes but only got 0. Skipping tag 0 "Skipping tag %s" % (size, len(data), tag)) /data/vision/torralba/deepscene/lib/anaconda2/lib/python2.7/site-packages/PIL/TiffImagePlugin.py:692: UserWarning: Possibly corrupt EXIF data. Expecting to read 39976960 bytes but only got 0. Skipping tag 0 "Skipping tag %s" % (size, len(data), tag)) /data/vision/torralba/deepscene/lib/anaconda2/lib/python2.7/site-packages/PIL/TiffImagePlugin.py:692: UserWarning: Possibly corrupt EXIF data. Expecting to read 34865152 bytes but only got 0. Skipping tag 0 "Skipping tag %s" % (size, len(data), tag)) /data/vision/torralba/deepscene/lib/anaconda2/lib/python2.7/site-packages/PIL/TiffImagePlugin.py:709: UserWarning: Corrupt EXIF data. Expecting to read 12 bytes but only got 10. warnings.warn(str(msg)) Epoch: [36][8730/10010] Time 0.330 (0.337) Data 0.001 (0.002) Loss 1.8183 (1.8129) Prec@1 55.469 (58.854) Prec@5 76.562 (80.660) Epoch: [36][8740/10010] Time 0.331 (0.337) Data 0.001 (0.002) Loss 1.5486 (1.8128) Prec@1 64.062 (58.856) Prec@5 85.156 (80.659) Epoch: [36][8750/10010] Time 0.317 (0.337) Data 0.000 (0.002) Loss 1.7316 (1.8128) Prec@1 57.031 (58.857) Prec@5 82.812 (80.660) Epoch: [36][8760/10010] Time 0.313 (0.337) Data 0.001 (0.002) Loss 1.9842 (1.8128) Prec@1 57.031 (58.859) Prec@5 78.125 (80.660) Epoch: [36][8770/10010] Time 0.340 (0.337) Data 0.000 (0.002) Loss 1.7327 (1.8127) Prec@1 58.594 (58.860) Prec@5 84.375 (80.661) Epoch: [36][8780/10010] Time 0.337 (0.337) Data 0.000 (0.002) Loss 1.9513 (1.8126) Prec@1 53.906 (58.861) Prec@5 71.875 (80.662) Epoch: [36][8790/10010] Time 0.322 (0.337) Data 0.000 (0.002) Loss 1.9086 (1.8126) Prec@1 53.906 (58.859) Prec@5 83.594 (80.661) Epoch: [36][8800/10010] Time 0.340 (0.337) Data 0.001 (0.002) Loss 1.9630 (1.8126) Prec@1 60.938 (58.859) Prec@5 78.906 (80.662) Epoch: [36][8810/10010] Time 0.316 (0.337) Data 0.000 (0.002) Loss 1.9170 (1.8126) Prec@1 53.906 (58.858) Prec@5 82.031 (80.663) Epoch: [36][8820/10010] Time 0.337 (0.337) Data 0.000 (0.002) Loss 1.9317 (1.8127) Prec@1 60.938 (58.857) Prec@5 81.250 (80.662) Epoch: [36][8830/10010] Time 0.332 (0.337) Data 0.001 (0.002) Loss 1.4213 (1.8126) Prec@1 65.625 (58.859) Prec@5 85.938 (80.664) Epoch: [36][8840/10010] Time 0.316 (0.337) Data 0.001 (0.002) Loss 1.5154 (1.8125) Prec@1 67.969 (58.861) Prec@5 85.156 (80.665) Epoch: [36][8850/10010] Time 0.331 (0.337) Data 0.001 (0.002) Loss 1.9608 (1.8126) Prec@1 59.375 (58.861) Prec@5 78.125 (80.664) Epoch: [36][8860/10010] Time 0.331 (0.337) Data 0.001 (0.002) Loss 1.8453 (1.8125) Prec@1 58.594 (58.862) Prec@5 79.688 (80.664) Epoch: [36][8870/10010] Time 0.319 (0.337) Data 0.001 (0.002) Loss 1.8548 (1.8125) Prec@1 57.812 (58.864) Prec@5 82.031 (80.665) /data/vision/torralba/deepscene/lib/anaconda2/lib/python2.7/site-packages/PIL/TiffImagePlugin.py:692: UserWarning: Possibly corrupt EXIF data. Expecting to read 1835008 bytes but only got 0. Skipping tag 0 "Skipping tag %s" % (size, len(data), tag)) Epoch: [36][8880/10010] Time 0.313 (0.338) Data 0.000 (0.002) Loss 1.5542 (1.8123) Prec@1 68.750 (58.865) Prec@5 83.594 (80.668) Epoch: [36][8890/10010] Time 0.316 (0.338) Data 0.001 (0.002) Loss 2.1691 (1.8125) Prec@1 52.344 (58.863) Prec@5 74.219 (80.666) Epoch: [36][8900/10010] Time 0.317 (0.337) Data 0.001 (0.002) Loss 1.9258 (1.8125) Prec@1 62.500 (58.862) Prec@5 82.031 (80.666) Epoch: [36][8910/10010] Time 0.319 (0.337) Data 0.001 (0.002) Loss 1.9275 (1.8126) Prec@1 54.688 (58.860) Prec@5 79.688 (80.665) Epoch: [36][8920/10010] Time 0.315 (0.337) Data 0.000 (0.002) Loss 1.7933 (1.8125) Prec@1 62.500 (58.862) Prec@5 82.031 (80.666) Epoch: [36][8930/10010] Time 0.318 (0.337) Data 0.001 (0.002) Loss 1.6277 (1.8125) Prec@1 59.375 (58.862) Prec@5 87.500 (80.666) Epoch: [36][8940/10010] Time 0.325 (0.337) Data 0.001 (0.002) Loss 1.7583 (1.8126) Prec@1 58.594 (58.860) Prec@5 82.031 (80.664) Epoch: [36][8950/10010] Time 0.325 (0.337) Data 0.001 (0.002) Loss 1.6797 (1.8125) Prec@1 63.281 (58.861) Prec@5 78.906 (80.665) Epoch: [36][8960/10010] Time 0.336 (0.337) Data 0.001 (0.002) Loss 1.8636 (1.8126) Prec@1 59.375 (58.861) Prec@5 81.250 (80.665) Epoch: [36][8970/10010] Time 0.339 (0.337) Data 0.001 (0.002) Loss 1.9845 (1.8126) Prec@1 54.688 (58.861) Prec@5 78.125 (80.664) Epoch: [36][8980/10010] Time 0.338 (0.337) Data 0.000 (0.002) Loss 1.7608 (1.8127) Prec@1 63.281 (58.859) Prec@5 82.031 (80.664) Epoch: [36][8990/10010] Time 0.325 (0.337) Data 0.001 (0.002) Loss 1.7941 (1.8127) Prec@1 61.719 (58.860) Prec@5 80.469 (80.664) Epoch: [36][9000/10010] Time 0.323 (0.337) Data 0.001 (0.002) Loss 1.9205 (1.8127) Prec@1 58.594 (58.860) Prec@5 79.688 (80.662) Epoch: [36][9010/10010] Time 0.323 (0.337) Data 0.000 (0.002) Loss 1.7839 (1.8129) Prec@1 64.062 (58.857) Prec@5 80.469 (80.661) Epoch: [36][9020/10010] Time 0.314 (0.337) Data 0.000 (0.002) Loss 2.1314 (1.8129) Prec@1 50.781 (58.856) Prec@5 75.781 (80.660) Epoch: [36][9030/10010] Time 0.313 (0.340) Data 0.001 (0.002) Loss 1.7441 (1.8128) Prec@1 61.719 (58.858) Prec@5 78.125 (80.663) Epoch: [36][9040/10010] Time 0.315 (0.340) Data 0.001 (0.002) Loss 1.8598 (1.8128) Prec@1 58.594 (58.857) Prec@5 78.125 (80.663) Epoch: [36][9050/10010] Time 0.317 (0.340) Data 0.001 (0.002) Loss 1.6102 (1.8128) Prec@1 60.938 (58.857) Prec@5 85.156 (80.664) Epoch: [36][9060/10010] Time 0.312 (0.340) Data 0.001 (0.002) Loss 1.9620 (1.8129) Prec@1 46.875 (58.854) Prec@5 78.125 (80.662) Epoch: [36][9070/10010] Time 0.311 (0.340) Data 0.001 (0.002) Loss 1.9405 (1.8129) Prec@1 56.250 (58.853) Prec@5 79.688 (80.662) Epoch: [36][9080/10010] Time 0.310 (0.340) Data 0.000 (0.002) Loss 1.8639 (1.8129) Prec@1 58.594 (58.854) Prec@5 79.688 (80.663) Epoch: [36][9090/10010] Time 0.319 (0.340) Data 0.001 (0.002) Loss 1.9782 (1.8128) Prec@1 53.906 (58.855) Prec@5 75.781 (80.665) Epoch: [36][9100/10010] Time 0.317 (0.340) Data 0.001 (0.002) Loss 1.6848 (1.8127) Prec@1 63.281 (58.855) Prec@5 82.812 (80.665) Epoch: [36][9110/10010] Time 0.316 (0.340) Data 0.001 (0.002) Loss 1.8325 (1.8127) Prec@1 57.031 (58.855) Prec@5 78.125 (80.665) Epoch: [36][9120/10010] Time 0.309 (0.340) Data 0.001 (0.002) Loss 1.7525 (1.8128) Prec@1 54.688 (58.851) Prec@5 81.250 (80.664) Epoch: [36][9130/10010] Time 0.321 (0.340) Data 0.001 (0.002) Loss 1.7762 (1.8129) Prec@1 60.156 (58.850) Prec@5 83.594 (80.662) Epoch: [36][9140/10010] Time 0.320 (0.340) Data 0.000 (0.002) Loss 2.0925 (1.8129) Prec@1 51.562 (58.850) Prec@5 75.000 (80.661) Epoch: [36][9150/10010] Time 0.321 (0.340) Data 0.000 (0.002) Loss 2.0014 (1.8130) Prec@1 57.031 (58.849) Prec@5 78.906 (80.661) Epoch: [36][9160/10010] Time 0.322 (0.340) Data 0.000 (0.002) Loss 1.8911 (1.8129) Prec@1 58.594 (58.850) Prec@5 80.469 (80.661) Epoch: [36][9170/10010] Time 0.318 (0.340) Data 0.001 (0.002) Loss 1.9756 (1.8130) Prec@1 57.031 (58.848) Prec@5 77.344 (80.659) Epoch: [36][9180/10010] Time 0.333 (0.340) Data 0.001 (0.002) Loss 1.7038 (1.8129) Prec@1 64.062 (58.851) Prec@5 83.594 (80.660) Epoch: [36][9190/10010] Time 0.327 (0.340) Data 0.001 (0.002) Loss 1.9588 (1.8130) Prec@1 57.812 (58.852) Prec@5 78.906 (80.659) Epoch: [36][9200/10010] Time 0.340 (0.340) Data 0.000 (0.002) Loss 1.7562 (1.8129) Prec@1 60.938 (58.854) Prec@5 81.250 (80.661) Epoch: [36][9210/10010] Time 0.321 (0.340) Data 0.001 (0.002) Loss 1.6267 (1.8128) Prec@1 63.281 (58.853) Prec@5 86.719 (80.663) Epoch: [36][9220/10010] Time 0.322 (0.340) Data 0.000 (0.002) Loss 1.9041 (1.8128) Prec@1 59.375 (58.852) Prec@5 78.906 (80.663) Epoch: [36][9230/10010] Time 0.324 (0.340) Data 0.000 (0.002) Loss 1.9181 (1.8129) Prec@1 57.031 (58.850) Prec@5 78.906 (80.661) Epoch: [36][9240/10010] Time 0.332 (0.340) Data 0.000 (0.002) Loss 1.8582 (1.8129) Prec@1 60.938 (58.849) Prec@5 78.125 (80.660) Epoch: [36][9250/10010] Time 0.322 (0.340) Data 0.001 (0.002) Loss 1.8414 (1.8130) Prec@1 56.250 (58.846) Prec@5 83.594 (80.660) Epoch: [36][9260/10010] Time 0.333 (0.339) Data 0.001 (0.002) Loss 2.1100 (1.8130) Prec@1 56.250 (58.845) Prec@5 78.125 (80.661) Epoch: [36][9270/10010] Time 0.326 (0.339) Data 0.001 (0.002) Loss 2.2015 (1.8131) Prec@1 50.781 (58.844) Prec@5 75.000 (80.658) Epoch: [36][9280/10010] Time 0.339 (0.339) Data 0.001 (0.002) Loss 1.6803 (1.8132) Prec@1 60.938 (58.844) Prec@5 80.469 (80.657) Epoch: [36][9290/10010] Time 0.324 (0.339) Data 0.001 (0.002) Loss 1.7752 (1.8132) Prec@1 55.469 (58.842) Prec@5 78.906 (80.657) Epoch: [36][9300/10010] Time 0.323 (0.339) Data 0.001 (0.002) Loss 2.0459 (1.8133) Prec@1 53.125 (58.840) Prec@5 76.562 (80.655) Epoch: [36][9310/10010] Time 0.336 (0.339) Data 0.001 (0.002) Loss 1.7041 (1.8135) Prec@1 64.062 (58.838) Prec@5 78.906 (80.654) Epoch: [36][9320/10010] Time 0.313 (0.339) Data 0.001 (0.002) Loss 1.8078 (1.8135) Prec@1 63.281 (58.839) Prec@5 80.469 (80.654) Epoch: [36][9330/10010] Time 0.319 (0.339) Data 0.001 (0.002) Loss 1.7606 (1.8135) Prec@1 55.469 (58.838) Prec@5 80.469 (80.654) Epoch: [36][9340/10010] Time 0.327 (0.339) Data 0.001 (0.002) Loss 1.7980 (1.8135) Prec@1 57.031 (58.838) Prec@5 78.906 (80.653) Epoch: [36][9350/10010] Time 0.323 (0.339) Data 0.001 (0.002) Loss 1.9561 (1.8136) Prec@1 57.812 (58.837) Prec@5 77.344 (80.652) Epoch: [36][9360/10010] Time 0.315 (0.339) Data 0.001 (0.002) Loss 2.1431 (1.8136) Prec@1 50.000 (58.837) Prec@5 75.000 (80.652) Epoch: [36][9370/10010] Time 0.334 (0.339) Data 0.003 (0.002) Loss 1.7124 (1.8135) Prec@1 58.594 (58.839) Prec@5 82.031 (80.653) Epoch: [36][9380/10010] Time 0.330 (0.339) Data 0.001 (0.002) Loss 1.6549 (1.8135) Prec@1 64.062 (58.841) Prec@5 84.375 (80.655) Epoch: [36][9390/10010] Time 0.333 (0.339) Data 0.001 (0.002) Loss 1.7942 (1.8135) Prec@1 60.156 (58.840) Prec@5 78.906 (80.653) Epoch: [36][9400/10010] Time 0.322 (0.339) Data 0.001 (0.002) Loss 2.1327 (1.8136) Prec@1 52.344 (58.839) Prec@5 71.875 (80.651) Epoch: [36][9410/10010] Time 0.325 (0.339) Data 0.001 (0.002) Loss 1.8107 (1.8137) Prec@1 59.375 (58.838) Prec@5 80.469 (80.649) Epoch: [36][9420/10010] Time 0.326 (0.339) Data 0.001 (0.002) Loss 1.9039 (1.8137) Prec@1 58.594 (58.838) Prec@5 78.125 (80.650) /data/vision/torralba/deepscene/lib/anaconda2/lib/python2.7/site-packages/PIL/TiffImagePlugin.py:692: UserWarning: Possibly corrupt EXIF data. Expecting to read 2555904 bytes but only got 0. Skipping tag 0 "Skipping tag %s" % (size, len(data), tag)) Epoch: [36][9430/10010] Time 0.332 (0.339) Data 0.000 (0.002) Loss 1.9054 (1.8137) Prec@1 60.156 (58.839) Prec@5 78.125 (80.650) Epoch: [36][9440/10010] Time 0.326 (0.339) Data 0.001 (0.002) Loss 1.9543 (1.8137) Prec@1 55.469 (58.838) Prec@5 79.688 (80.651) Epoch: [36][9450/10010] Time 0.322 (0.339) Data 0.001 (0.002) Loss 1.5764 (1.8137) Prec@1 64.844 (58.836) Prec@5 85.156 (80.651) Epoch: [36][9460/10010] Time 0.310 (0.339) Data 0.000 (0.002) Loss 1.9906 (1.8137) Prec@1 54.688 (58.836) Prec@5 81.250 (80.650) Epoch: [36][9470/10010] Time 0.335 (0.339) Data 0.001 (0.002) Loss 1.7303 (1.8137) Prec@1 60.156 (58.838) Prec@5 80.469 (80.651) Epoch: [36][9480/10010] Time 0.322 (0.340) Data 0.001 (0.002) Loss 1.7562 (1.8136) Prec@1 58.594 (58.837) Prec@5 78.906 (80.651) Epoch: [36][9490/10010] Time 0.315 (0.340) Data 0.001 (0.002) Loss 1.9469 (1.8137) Prec@1 51.562 (58.837) Prec@5 79.688 (80.650) Epoch: [36][9500/10010] Time 0.314 (0.340) Data 0.000 (0.002) Loss 1.9293 (1.8138) Prec@1 60.938 (58.835) Prec@5 78.906 (80.649) Epoch: [36][9510/10010] Time 0.318 (0.340) Data 0.000 (0.002) Loss 1.8180 (1.8137) Prec@1 57.031 (58.836) Prec@5 80.469 (80.649) Epoch: [36][9520/10010] Time 0.313 (0.340) Data 0.001 (0.002) Loss 1.8261 (1.8137) Prec@1 53.125 (58.835) Prec@5 80.469 (80.650) Epoch: [36][9530/10010] Time 0.319 (0.340) Data 0.001 (0.002) Loss 1.7393 (1.8138) Prec@1 66.406 (58.832) Prec@5 82.031 (80.648) Epoch: [36][9540/10010] Time 0.318 (0.340) Data 0.001 (0.002) Loss 1.7147 (1.8139) Prec@1 62.500 (58.830) Prec@5 82.031 (80.648) Epoch: [36][9550/10010] Time 0.315 (0.340) Data 0.001 (0.002) Loss 1.4554 (1.8138) Prec@1 66.406 (58.832) Prec@5 82.031 (80.648) Epoch: [36][9560/10010] Time 0.343 (0.340) Data 0.000 (0.002) Loss 1.6517 (1.8139) Prec@1 66.406 (58.830) Prec@5 82.812 (80.645) Epoch: [36][9570/10010] Time 0.315 (0.340) Data 0.001 (0.002) Loss 1.9042 (1.8139) Prec@1 56.250 (58.828) Prec@5 75.000 (80.644) Epoch: [36][9580/10010] Time 0.342 (0.340) Data 0.000 (0.002) Loss 1.6095 (1.8139) Prec@1 61.719 (58.829) Prec@5 85.156 (80.645) Epoch: [36][9590/10010] Time 0.338 (0.340) Data 0.000 (0.002) Loss 1.8630 (1.8138) Prec@1 53.906 (58.831) Prec@5 80.469 (80.646) Epoch: [36][9600/10010] Time 0.325 (0.340) Data 0.001 (0.002) Loss 1.7751 (1.8138) Prec@1 61.719 (58.832) Prec@5 79.688 (80.647) Epoch: [36][9610/10010] Time 0.323 (0.340) Data 0.001 (0.002) Loss 1.6103 (1.8138) Prec@1 59.375 (58.832) Prec@5 84.375 (80.647) Epoch: [36][9620/10010] Time 0.323 (0.340) Data 0.000 (0.002) Loss 1.8559 (1.8138) Prec@1 53.906 (58.830) Prec@5 77.344 (80.645) Epoch: [36][9630/10010] Time 0.327 (0.340) Data 0.001 (0.002) Loss 1.8802 (1.8138) Prec@1 55.469 (58.829) Prec@5 79.688 (80.646) Epoch: [36][9640/10010] Time 0.311 (0.340) Data 0.000 (0.002) Loss 1.8662 (1.8139) Prec@1 53.125 (58.828) Prec@5 82.812 (80.646) Epoch: [36][9650/10010] Time 0.336 (0.340) Data 0.000 (0.002) Loss 1.6447 (1.8138) Prec@1 63.281 (58.829) Prec@5 85.156 (80.647) Epoch: [36][9660/10010] Time 0.332 (0.340) Data 0.001 (0.002) Loss 1.7824 (1.8138) Prec@1 60.156 (58.830) Prec@5 79.688 (80.649) Epoch: [36][9670/10010] Time 0.337 (0.340) Data 0.001 (0.002) Loss 1.7283 (1.8138) Prec@1 55.469 (58.830) Prec@5 84.375 (80.650) Epoch: [36][9680/10010] Time 0.320 (0.340) Data 0.001 (0.002) Loss 1.9095 (1.8137) Prec@1 59.375 (58.830) Prec@5 80.469 (80.649) Epoch: [36][9690/10010] Time 0.336 (0.340) Data 0.001 (0.002) Loss 1.7846 (1.8138) Prec@1 57.812 (58.827) Prec@5 78.125 (80.649) Epoch: [36][9700/10010] Time 0.310 (0.340) Data 0.001 (0.002) Loss 1.9928 (1.8138) Prec@1 50.781 (58.824) Prec@5 71.094 (80.646) Epoch: [36][9710/10010] Time 0.316 (0.340) Data 0.001 (0.002) Loss 1.6500 (1.8138) Prec@1 57.031 (58.823) Prec@5 80.469 (80.647) Epoch: [36][9720/10010] Time 0.337 (0.340) Data 0.001 (0.002) Loss 2.0861 (1.8138) Prec@1 56.250 (58.823) Prec@5 83.594 (80.649) Epoch: [36][9730/10010] Time 0.328 (0.340) Data 0.001 (0.002) Loss 1.8367 (1.8138) Prec@1 57.812 (58.824) Prec@5 81.250 (80.650) Epoch: [36][9740/10010] Time 0.340 (0.340) Data 0.001 (0.002) Loss 1.8861 (1.8138) Prec@1 60.156 (58.826) Prec@5 77.344 (80.650) Epoch: [36][9750/10010] Time 0.313 (0.340) Data 0.001 (0.002) Loss 2.0482 (1.8138) Prec@1 60.156 (58.828) Prec@5 74.219 (80.648) Epoch: [36][9760/10010] Time 0.333 (0.340) Data 0.000 (0.002) Loss 2.0314 (1.8139) Prec@1 56.250 (58.827) Prec@5 77.344 (80.648) Epoch: [36][9770/10010] Time 0.315 (0.340) Data 0.001 (0.002) Loss 2.0535 (1.8139) Prec@1 50.000 (58.826) Prec@5 79.688 (80.649) Epoch: [36][9780/10010] Time 0.317 (0.340) Data 0.001 (0.002) Loss 1.9242 (1.8139) Prec@1 57.031 (58.826) Prec@5 81.250 (80.650) Epoch: [36][9790/10010] Time 0.319 (0.340) Data 0.001 (0.002) Loss 1.7323 (1.8139) Prec@1 58.594 (58.827) Prec@5 83.594 (80.649) Epoch: [36][9800/10010] Time 0.341 (0.340) Data 0.001 (0.002) Loss 1.8722 (1.8139) Prec@1 51.562 (58.826) Prec@5 80.469 (80.648) Epoch: [36][9810/10010] Time 0.331 (0.340) Data 0.001 (0.002) Loss 1.6360 (1.8138) Prec@1 60.156 (58.829) Prec@5 82.812 (80.649) Epoch: [36][9820/10010] Time 0.339 (0.340) Data 0.001 (0.002) Loss 1.8226 (1.8139) Prec@1 62.500 (58.828) Prec@5 83.594 (80.649) Epoch: [36][9830/10010] Time 0.336 (0.340) Data 0.001 (0.002) Loss 1.8541 (1.8139) Prec@1 59.375 (58.828) Prec@5 79.688 (80.650) Epoch: [36][9840/10010] Time 0.331 (0.340) Data 0.000 (0.002) Loss 2.0178 (1.8139) Prec@1 58.594 (58.827) Prec@5 79.688 (80.650) Epoch: [36][9850/10010] Time 0.319 (0.340) Data 0.001 (0.002) Loss 2.0129 (1.8139) Prec@1 55.469 (58.827) Prec@5 79.688 (80.650) Epoch: [36][9860/10010] Time 0.338 (0.340) Data 0.001 (0.002) Loss 2.0335 (1.8140) Prec@1 53.125 (58.825) Prec@5 82.031 (80.649) Epoch: [36][9870/10010] Time 0.341 (0.340) Data 0.001 (0.002) Loss 1.3162 (1.8140) Prec@1 75.781 (58.826) Prec@5 88.281 (80.650) Epoch: [36][9880/10010] Time 0.319 (0.340) Data 0.000 (0.002) Loss 2.0186 (1.8141) Prec@1 55.469 (58.825) Prec@5 77.344 (80.649) Epoch: [36][9890/10010] Time 0.347 (0.340) Data 0.000 (0.002) Loss 1.9223 (1.8140) Prec@1 57.031 (58.826) Prec@5 80.469 (80.650) Epoch: [36][9900/10010] Time 0.329 (0.340) Data 0.001 (0.002) Loss 1.8236 (1.8140) Prec@1 55.469 (58.825) Prec@5 79.688 (80.649) Epoch: [36][9910/10010] Time 0.326 (0.340) Data 0.001 (0.002) Loss 1.7500 (1.8141) Prec@1 57.031 (58.823) Prec@5 82.031 (80.649) Epoch: [36][9920/10010] Time 0.315 (0.340) Data 0.001 (0.002) Loss 1.7205 (1.8141) Prec@1 63.281 (58.824) Prec@5 78.906 (80.649) Epoch: [36][9930/10010] Time 0.315 (0.340) Data 0.001 (0.002) Loss 1.7227 (1.8141) Prec@1 59.375 (58.826) Prec@5 82.031 (80.649) Epoch: [36][9940/10010] Time 0.314 (0.340) Data 0.001 (0.002) Loss 2.2543 (1.8141) Prec@1 51.562 (58.827) Prec@5 73.438 (80.649) Epoch: [36][9950/10010] Time 0.320 (0.340) Data 0.001 (0.002) Loss 1.9073 (1.8140) Prec@1 60.156 (58.827) Prec@5 79.688 (80.651) Epoch: [36][9960/10010] Time 0.334 (0.340) Data 0.001 (0.002) Loss 1.6681 (1.8140) Prec@1 58.594 (58.827) Prec@5 82.812 (80.652) Epoch: [36][9970/10010] Time 0.318 (0.340) Data 0.001 (0.002) Loss 1.5718 (1.8139) Prec@1 56.250 (58.828) Prec@5 89.062 (80.653) Epoch: [36][9980/10010] Time 0.325 (0.340) Data 0.001 (0.002) Loss 1.6729 (1.8139) Prec@1 64.062 (58.829) Prec@5 83.594 (80.653) Epoch: [36][9990/10010] Time 0.314 (0.340) Data 0.000 (0.002) Loss 1.9831 (1.8139) Prec@1 56.250 (58.831) Prec@5 76.562 (80.653) Epoch: [36][10000/10010] Time 0.325 (0.340) Data 0.000 (0.002) Loss 1.8478 (1.8138) Prec@1 57.031 (58.831) Prec@5 82.031 (80.654) Test: [0/391] Time 1.130 (1.130) Loss 0.9654 (0.9654) Prec@1 78.125 (78.125) Prec@5 89.844 (89.844) Test: [10/391] Time 0.113 (0.205) Loss 1.5712 (0.8733) Prec@1 65.625 (78.977) Prec@5 85.156 (92.756) Test: [20/391] Time 0.108 (0.160) Loss 1.3348 (1.1732) Prec@1 67.188 (71.466) Prec@5 85.938 (89.211) Test: [30/391] Time 0.208 (0.147) Loss 2.0730 (1.3147) Prec@1 57.031 (67.717) Prec@5 80.469 (88.256) Test: [40/391] Time 0.119 (0.517) Loss 1.4033 (1.1899) Prec@1 68.750 (70.694) Prec@5 88.281 (89.444) Test: [50/391] Time 0.103 (0.444) Loss 0.8453 (1.2313) Prec@1 75.000 (69.945) Prec@5 92.969 (89.062) Test: [60/391] Time 0.104 (0.388) Loss 1.3064 (1.1663) Prec@1 63.281 (71.504) Prec@5 90.625 (89.690) Test: [70/391] Time 0.107 (0.348) Loss 1.3915 (1.1933) Prec@1 63.281 (70.346) Prec@5 91.406 (89.723) Test: [80/391] Time 0.102 (0.324) Loss 1.1526 (1.2133) Prec@1 69.531 (69.319) Prec@5 89.844 (89.699) Test: [90/391] Time 0.107 (0.300) Loss 1.2899 (1.2141) Prec@1 50.000 (69.257) Prec@5 94.531 (89.827) Test: [100/391] Time 0.102 (0.280) Loss 1.0099 (1.2040) Prec@1 76.562 (69.067) Prec@5 93.750 (90.114) Test: [110/391] Time 0.101 (0.265) Loss 1.5046 (1.2068) Prec@1 47.656 (68.722) Prec@5 93.750 (90.224) Test: [120/391] Time 0.105 (0.252) Loss 1.0534 (1.1952) Prec@1 71.875 (69.196) Prec@5 92.969 (90.412) Test: [130/391] Time 0.106 (0.241) Loss 0.7101 (1.1809) Prec@1 84.375 (69.728) Prec@5 95.312 (90.589) Test: [140/391] Time 0.102 (0.231) Loss 1.6147 (1.1830) Prec@1 56.250 (69.631) Prec@5 86.719 (90.597) Test: [150/391] Time 0.099 (0.223) Loss 1.0971 (1.1875) Prec@1 64.062 (69.640) Prec@5 92.188 (90.449) Test: [160/391] Time 0.105 (0.216) Loss 1.2201 (1.1930) Prec@1 66.406 (69.531) Prec@5 91.406 (90.363) Test: [170/391] Time 0.102 (0.209) Loss 2.1919 (1.2285) Prec@1 47.656 (68.855) Prec@5 78.906 (89.871) Test: [180/391] Time 0.098 (0.204) Loss 2.1114 (1.2620) Prec@1 45.312 (68.198) Prec@5 78.906 (89.416) Test: [190/391] Time 0.103 (0.199) Loss 2.2816 (1.3019) Prec@1 44.531 (67.470) Prec@5 82.812 (88.846) Test: [200/391] Time 0.101 (0.194) Loss 1.5705 (1.3371) Prec@1 57.031 (66.729) Prec@5 86.719 (88.340) Test: [210/391] Time 0.104 (0.190) Loss 1.7490 (1.3585) Prec@1 58.594 (66.269) Prec@5 82.031 (88.078) Test: [220/391] Time 0.105 (0.186) Loss 0.8301 (1.3724) Prec@1 82.812 (66.116) Prec@5 92.188 (87.808) Test: [230/391] Time 0.101 (0.182) Loss 2.3060 (1.3929) Prec@1 46.875 (65.825) Prec@5 74.219 (87.473) Test: [240/391] Time 0.104 (0.179) Loss 1.8455 (1.4039) Prec@1 64.062 (65.790) Prec@5 78.125 (87.263) Test: [250/391] Time 0.107 (0.176) Loss 1.0509 (1.4340) Prec@1 77.344 (65.167) Prec@5 88.281 (86.884) Test: [260/391] Time 0.189 (0.174) Loss 2.0921 (1.4532) Prec@1 48.438 (64.763) Prec@5 77.344 (86.659) Test: [270/391] Time 0.103 (0.171) Loss 2.3157 (1.4654) Prec@1 48.438 (64.527) Prec@5 78.125 (86.445) Test: [280/391] Time 0.101 (0.169) Loss 1.7281 (1.4753) Prec@1 52.344 (64.357) Prec@5 87.500 (86.341) Test: [290/391] Time 0.104 (0.167) Loss 1.8679 (1.4938) Prec@1 47.656 (64.071) Prec@5 82.812 (86.021) Test: [300/391] Time 0.103 (0.165) Loss 1.2457 (1.5068) Prec@1 75.781 (63.855) Prec@5 86.719 (85.826) Test: [310/391] Time 0.102 (0.163) Loss 1.7965 (1.5179) Prec@1 59.375 (63.658) Prec@5 79.688 (85.651) Test: [320/391] Time 0.103 (0.161) Loss 0.9574 (1.5243) Prec@1 78.125 (63.576) Prec@5 92.969 (85.553) Test: [330/391] Time 0.103 (0.159) Loss 2.5191 (1.5495) Prec@1 43.750 (63.074) Prec@5 71.094 (85.187) Test: [340/391] Time 0.102 (0.158) Loss 1.4554 (1.5584) Prec@1 60.156 (62.839) Prec@5 91.406 (85.076) Test: [350/391] Time 0.111 (0.156) Loss 1.7008 (1.5644) Prec@1 63.281 (62.720) Prec@5 87.500 (84.976) Test: [360/391] Time 0.101 (0.155) Loss 1.7435 (1.5724) Prec@1 49.219 (62.580) Prec@5 87.500 (84.899) Test: [370/391] Time 0.102 (0.154) Loss 1.2572 (1.5645) Prec@1 60.156 (62.673) Prec@5 90.625 (85.000) Test: [380/391] Time 0.104 (0.152) Loss 1.2555 (1.5661) Prec@1 68.750 (62.629) Prec@5 91.406 (84.968) Test: [390/391] Time 0.069 (0.151) Loss 2.1289 (1.5571) Prec@1 42.500 (62.828) Prec@5 81.250 (85.100) * Prec@1 62.828 Prec@5 85.100 Epoch: [37][0/10010] Time 2.265 (2.265) Data 2.054 (2.054) Loss 1.8102 (1.8102) Prec@1 62.500 (62.500) Prec@5 80.469 (80.469) Epoch: [37][10/10010] Time 0.317 (0.493) Data 0.001 (0.191) Loss 2.1447 (1.8216) Prec@1 51.562 (59.659) Prec@5 73.438 (80.469) Epoch: [37][20/10010] Time 0.307 (0.409) Data 0.001 (0.101) Loss 1.7247 (1.8285) Prec@1 53.125 (58.780) Prec@5 80.469 (80.915) Epoch: [37][30/10010] Time 0.318 (0.379) Data 0.000 (0.068) Loss 1.5130 (1.8208) Prec@1 61.719 (58.594) Prec@5 85.938 (81.023) Epoch: [37][40/10010] Time 0.314 (0.364) Data 0.001 (0.052) Loss 1.7609 (1.8368) Prec@1 56.250 (58.117) Prec@5 84.375 (80.755) Epoch: [37][50/10010] Time 0.314 (0.354) Data 0.001 (0.042) Loss 1.8425 (1.8466) Prec@1 63.281 (57.904) Prec@5 82.031 (80.591) Epoch: [37][60/10010] Time 0.338 (0.350) Data 0.001 (0.035) Loss 1.8295 (1.8463) Prec@1 61.719 (57.864) Prec@5 83.594 (80.520) Epoch: [37][70/10010] Time 0.320 (0.346) Data 0.000 (0.030) Loss 1.7065 (1.8378) Prec@1 63.281 (58.220) Prec@5 84.375 (80.689) Epoch: [37][80/10010] Time 0.321 (0.343) Data 0.001 (0.027) Loss 1.8394 (1.8273) Prec@1 53.125 (58.131) Prec@5 79.688 (80.845) Epoch: [37][90/10010] Time 0.332 (0.341) Data 0.001 (0.024) Loss 2.2206 (1.8244) Prec@1 56.250 (58.173) Prec@5 75.781 (80.967) Epoch: [37][100/10010] Time 0.325 (0.339) Data 0.000 (0.021) Loss 1.5848 (1.8119) Prec@1 62.500 (58.439) Prec@5 84.375 (81.103) Epoch: [37][110/10010] Time 0.315 (0.427) Data 0.013 (0.111) Loss 1.6059 (1.8085) Prec@1 64.062 (58.608) Prec@5 82.031 (81.074) Epoch: [37][120/10010] Time 0.321 (0.418) Data 0.000 (0.103) Loss 1.7482 (1.8094) Prec@1 58.594 (58.658) Prec@5 84.375 (81.011) Epoch: [37][130/10010] Time 0.316 (0.410) Data 0.000 (0.095) Loss 1.7773 (1.8022) Prec@1 57.812 (58.868) Prec@5 82.031 (81.101) Epoch: [37][140/10010] Time 0.310 (0.403) Data 0.001 (0.089) Loss 1.9698 (1.8046) Prec@1 50.000 (58.838) Prec@5 77.344 (81.084) Epoch: [37][150/10010] Time 0.312 (0.397) Data 0.001 (0.083) Loss 1.9105 (1.8085) Prec@1 56.250 (58.677) Prec@5 78.906 (81.033) Epoch: [37][160/10010] Time 0.334 (0.393) Data 0.001 (0.078) Loss 1.5299 (1.8019) Prec@1 63.281 (58.865) Prec@5 84.375 (81.158) Epoch: [37][170/10010] Time 0.337 (0.389) Data 0.000 (0.073) Loss 1.7223 (1.7952) Prec@1 62.500 (59.041) Prec@5 85.156 (81.259) /data/vision/torralba/deepscene/lib/anaconda2/lib/python2.7/site-packages/PIL/TiffImagePlugin.py:692: UserWarning: Possibly corrupt EXIF data. Expecting to read 1835008 bytes but only got 0. Skipping tag 0 "Skipping tag %s" % (size, len(data), tag)) Epoch: [37][180/10010] Time 0.324 (0.386) Data 0.000 (0.069) Loss 1.8499 (1.7918) Prec@1 57.812 (59.094) Prec@5 78.906 (81.285) Epoch: [37][190/10010] Time 0.324 (0.382) Data 0.001 (0.066) Loss 2.1657 (1.7918) Prec@1 53.906 (59.089) Prec@5 76.562 (81.299) Epoch: [37][200/10010] Time 0.318 (0.379) Data 0.001 (0.062) Loss 2.1440 (1.7919) Prec@1 52.344 (59.107) Prec@5 76.562 (81.258) Epoch: [37][210/10010] Time 0.315 (0.376) Data 0.000 (0.059) Loss 1.7219 (1.7895) Prec@1 61.719 (59.108) Prec@5 80.469 (81.265) Epoch: [37][220/10010] Time 0.330 (0.374) Data 0.001 (0.057) Loss 1.9779 (1.7900) Prec@1 57.812 (59.170) Prec@5 79.688 (81.264) Epoch: [37][230/10010] Time 0.334 (0.372) Data 0.000 (0.054) Loss 1.8408 (1.7901) Prec@1 59.375 (59.169) Prec@5 79.688 (81.213) Epoch: [37][240/10010] Time 0.310 (0.414) Data 0.001 (0.052) Loss 1.6110 (1.7903) Prec@1 60.156 (59.200) Prec@5 82.812 (81.208) Epoch: [37][250/10010] Time 0.312 (0.410) Data 0.001 (0.050) Loss 1.6503 (1.7898) Prec@1 66.406 (59.207) Prec@5 82.812 (81.222) Epoch: [37][260/10010] Time 0.316 (0.406) Data 0.001 (0.048) Loss 1.8380 (1.7873) Prec@1 58.594 (59.183) Prec@5 78.906 (81.274) Epoch: [37][270/10010] Time 0.318 (0.403) Data 0.000 (0.046) Loss 1.8285 (1.7887) Prec@1 53.906 (59.167) Prec@5 81.250 (81.236) Epoch: [37][280/10010] Time 0.319 (0.400) Data 0.001 (0.045) Loss 1.5401 (1.7875) Prec@1 64.062 (59.186) Prec@5 84.375 (81.253) Epoch: [37][290/10010] Time 0.316 (0.397) Data 0.001 (0.043) Loss 1.4398 (1.7894) Prec@1 65.625 (59.179) Prec@5 89.062 (81.220) Epoch: [37][300/10010] Time 0.320 (0.394) Data 0.001 (0.042) Loss 1.5814 (1.7885) Prec@1 62.500 (59.201) Prec@5 85.938 (81.211) Epoch: [37][310/10010] Time 0.339 (0.392) Data 0.001 (0.041) Loss 1.4720 (1.7885) Prec@1 68.750 (59.259) Prec@5 88.281 (81.210) Epoch: [37][320/10010] Time 0.341 (0.390) Data 0.001 (0.039) Loss 2.0644 (1.7881) Prec@1 53.906 (59.268) Prec@5 81.250 (81.238) Epoch: [37][330/10010] Time 0.319 (0.388) Data 0.000 (0.038) Loss 1.9227 (1.7860) Prec@1 57.812 (59.344) Prec@5 76.562 (81.245) Epoch: [37][340/10010] Time 0.315 (0.387) Data 0.001 (0.037) Loss 1.6176 (1.7826) Prec@1 60.938 (59.396) Prec@5 83.594 (81.284) Epoch: [37][350/10010] Time 0.317 (0.385) Data 0.001 (0.036) Loss 1.3616 (1.7857) Prec@1 65.625 (59.382) Prec@5 87.500 (81.234) Epoch: [37][360/10010] Time 0.318 (0.383) Data 0.001 (0.035) Loss 1.7848 (1.7872) Prec@1 62.500 (59.336) Prec@5 77.344 (81.185) Epoch: [37][370/10010] Time 0.313 (0.381) Data 0.000 (0.034) Loss 1.7931 (1.7827) Prec@1 63.281 (59.392) Prec@5 80.469 (81.254) Epoch: [37][380/10010] Time 0.314 (0.443) Data 0.000 (0.033) Loss 1.5253 (1.7850) Prec@1 63.281 (59.365) Prec@5 82.812 (81.213) Epoch: [37][390/10010] Time 0.316 (0.440) Data 0.001 (0.032) Loss 1.8359 (1.7833) Prec@1 57.812 (59.383) Prec@5 79.688 (81.212) Epoch: [37][400/10010] Time 0.313 (0.436) Data 0.001 (0.032) Loss 1.9438 (1.7859) Prec@1 57.812 (59.332) Prec@5 78.125 (81.180) Epoch: [37][410/10010] Time 0.315 (0.434) Data 0.001 (0.031) Loss 2.0314 (1.7866) Prec@1 51.562 (59.354) Prec@5 76.562 (81.182) Epoch: [37][420/10010] Time 0.310 (0.431) Data 0.001 (0.030) Loss 1.4038 (1.7880) Prec@1 67.969 (59.334) Prec@5 86.719 (81.135) Epoch: [37][430/10010] Time 0.317 (0.428) Data 0.000 (0.029) Loss 1.7489 (1.7855) Prec@1 58.594 (59.382) Prec@5 80.469 (81.158) Epoch: [37][440/10010] Time 0.318 (0.425) Data 0.001 (0.029) Loss 2.1646 (1.7863) Prec@1 55.469 (59.343) Prec@5 75.000 (81.135) Epoch: [37][450/10010] Time 0.316 (0.423) Data 0.001 (0.028) Loss 1.8494 (1.7862) Prec@1 64.062 (59.361) Prec@5 78.906 (81.136) Epoch: [37][460/10010] Time 0.317 (0.421) Data 0.001 (0.028) Loss 1.7448 (1.7849) Prec@1 59.375 (59.377) Prec@5 82.812 (81.165) Epoch: [37][470/10010] Time 0.310 (0.418) Data 0.001 (0.027) Loss 1.8479 (1.7859) Prec@1 54.688 (59.345) Prec@5 81.250 (81.134) Epoch: [37][480/10010] Time 0.316 (0.416) Data 0.000 (0.026) Loss 1.8375 (1.7838) Prec@1 59.375 (59.338) Prec@5 81.250 (81.164) Epoch: [37][490/10010] Time 0.322 (0.414) Data 0.001 (0.026) Loss 1.4191 (1.7822) Prec@1 68.750 (59.370) Prec@5 88.281 (81.177) Epoch: [37][500/10010] Time 0.321 (0.413) Data 0.001 (0.025) Loss 1.5938 (1.7828) Prec@1 60.938 (59.336) Prec@5 84.375 (81.177) Epoch: [37][510/10010] Time 0.338 (0.411) Data 0.001 (0.025) Loss 2.0468 (1.7825) Prec@1 60.156 (59.363) Prec@5 80.469 (81.195) Epoch: [37][520/10010] Time 0.331 (0.409) Data 0.000 (0.024) Loss 1.8930 (1.7817) Prec@1 54.688 (59.366) Prec@5 78.906 (81.204) Epoch: [37][530/10010] Time 0.341 (0.408) Data 0.001 (0.024) Loss 1.9687 (1.7831) Prec@1 60.156 (59.350) Prec@5 82.812 (81.203) Epoch: [37][540/10010] Time 0.318 (0.406) Data 0.001 (0.024) Loss 1.7657 (1.7823) Prec@1 54.688 (59.382) Prec@5 78.906 (81.217) Epoch: [37][550/10010] Time 0.332 (0.405) Data 0.001 (0.023) Loss 1.6231 (1.7810) Prec@1 55.469 (59.382) Prec@5 87.500 (81.232) Epoch: [37][560/10010] Time 0.316 (0.404) Data 0.000 (0.023) Loss 1.6968 (1.7799) Prec@1 58.594 (59.410) Prec@5 83.594 (81.249) Epoch: [37][570/10010] Time 0.326 (0.402) Data 0.000 (0.022) Loss 1.8202 (1.7813) Prec@1 60.156 (59.409) Prec@5 79.688 (81.220) Epoch: [37][580/10010] Time 0.330 (0.401) Data 0.001 (0.022) Loss 1.7325 (1.7810) Prec@1 63.281 (59.403) Prec@5 84.375 (81.226) Epoch: [37][590/10010] Time 0.332 (0.400) Data 0.001 (0.022) Loss 1.8127 (1.7821) Prec@1 62.500 (59.376) Prec@5 82.031 (81.202) Epoch: [37][600/10010] Time 0.314 (0.398) Data 0.001 (0.021) Loss 1.8902 (1.7824) Prec@1 54.688 (59.392) Prec@5 78.906 (81.199) Epoch: [37][610/10010] Time 0.317 (0.397) Data 0.001 (0.021) Loss 1.9328 (1.7817) Prec@1 54.688 (59.413) Prec@5 77.344 (81.217) Epoch: [37][620/10010] Time 0.310 (0.396) Data 0.001 (0.021) Loss 1.5913 (1.7821) Prec@1 64.062 (59.420) Prec@5 82.812 (81.214) Epoch: [37][630/10010] Time 0.336 (0.395) Data 0.000 (0.020) Loss 1.3170 (1.7813) Prec@1 68.750 (59.439) Prec@5 86.719 (81.229) Epoch: [37][640/10010] Time 0.330 (0.394) Data 0.001 (0.020) Loss 1.9312 (1.7832) Prec@1 62.500 (59.427) Prec@5 77.344 (81.207) Epoch: [37][650/10010] Time 0.337 (0.393) Data 0.000 (0.020) Loss 2.0142 (1.7851) Prec@1 52.344 (59.388) Prec@5 78.906 (81.165) Epoch: [37][660/10010] Time 0.329 (0.392) Data 0.001 (0.019) Loss 1.7601 (1.7851) Prec@1 62.500 (59.394) Prec@5 79.688 (81.150) Epoch: [37][670/10010] Time 0.325 (0.391) Data 0.000 (0.019) Loss 1.9462 (1.7857) Prec@1 53.906 (59.359) Prec@5 78.906 (81.149) Epoch: [37][680/10010] Time 0.338 (0.390) Data 0.000 (0.019) Loss 1.7336 (1.7859) Prec@1 64.062 (59.369) Prec@5 81.250 (81.140) Epoch: [37][690/10010] Time 0.331 (0.389) Data 0.000 (0.019) Loss 1.8894 (1.7852) Prec@1 62.500 (59.406) Prec@5 76.562 (81.152) Epoch: [37][700/10010] Time 0.336 (0.388) Data 0.001 (0.018) Loss 1.4487 (1.7869) Prec@1 67.969 (59.376) Prec@5 85.156 (81.129) Epoch: [37][710/10010] Time 0.328 (0.387) Data 0.000 (0.018) Loss 1.7808 (1.7876) Prec@1 58.594 (59.364) Prec@5 78.906 (81.118) Epoch: [37][720/10010] Time 0.334 (0.386) Data 0.001 (0.018) Loss 1.6065 (1.7879) Prec@1 58.594 (59.351) Prec@5 84.375 (81.110) Epoch: [37][730/10010] Time 0.322 (0.386) Data 0.001 (0.018) Loss 1.6322 (1.7879) Prec@1 61.719 (59.365) Prec@5 81.250 (81.104) Epoch: [37][740/10010] Time 0.338 (0.385) Data 0.000 (0.017) Loss 1.7904 (1.7883) Prec@1 56.250 (59.369) Prec@5 82.812 (81.099) Epoch: [37][750/10010] Time 0.336 (0.384) Data 0.000 (0.017) Loss 1.9115 (1.7888) Prec@1 55.469 (59.361) Prec@5 81.250 (81.093) Epoch: [37][760/10010] Time 0.328 (0.383) Data 0.001 (0.017) Loss 1.8568 (1.7874) Prec@1 57.031 (59.380) Prec@5 81.250 (81.114) Epoch: [37][770/10010] Time 0.323 (0.383) Data 0.000 (0.017) Loss 1.5946 (1.7879) Prec@1 61.719 (59.362) Prec@5 85.156 (81.099) Epoch: [37][780/10010] Time 0.344 (0.382) Data 0.000 (0.017) Loss 1.7825 (1.7892) Prec@1 57.812 (59.350) Prec@5 82.031 (81.073) Epoch: [37][790/10010] Time 0.321 (0.381) Data 0.001 (0.016) Loss 1.7304 (1.7901) Prec@1 63.281 (59.348) Prec@5 80.469 (81.047) Epoch: [37][800/10010] Time 0.318 (0.380) Data 0.001 (0.016) Loss 1.6579 (1.7896) Prec@1 62.500 (59.357) Prec@5 83.594 (81.060) Epoch: [37][810/10010] Time 0.320 (0.380) Data 0.001 (0.016) Loss 1.6881 (1.7899) Prec@1 58.594 (59.374) Prec@5 83.594 (81.052) Epoch: [37][820/10010] Time 0.321 (0.379) Data 0.001 (0.016) Loss 1.9458 (1.7902) Prec@1 59.375 (59.378) Prec@5 79.688 (81.044) Epoch: [37][830/10010] Time 0.312 (0.378) Data 0.001 (0.016) Loss 1.8298 (1.7896) Prec@1 55.469 (59.384) Prec@5 82.031 (81.050) Epoch: [37][840/10010] Time 0.318 (0.378) Data 0.001 (0.015) Loss 1.9337 (1.7893) Prec@1 60.156 (59.387) Prec@5 81.250 (81.060) Epoch: [37][850/10010] Time 0.340 (0.377) Data 0.000 (0.015) Loss 1.9499 (1.7891) Prec@1 52.344 (59.393) Prec@5 78.125 (81.049) Epoch: [37][860/10010] Time 0.325 (0.377) Data 0.001 (0.015) Loss 1.9042 (1.7887) Prec@1 53.906 (59.381) Prec@5 79.688 (81.054) Epoch: [37][870/10010] Time 0.323 (0.376) Data 0.001 (0.015) Loss 1.6196 (1.7887) Prec@1 60.938 (59.392) Prec@5 81.250 (81.055) Epoch: [37][880/10010] Time 0.324 (0.376) Data 0.001 (0.015) Loss 2.0861 (1.7896) Prec@1 50.781 (59.379) Prec@5 80.469 (81.050) Epoch: [37][890/10010] Time 0.316 (0.375) Data 0.001 (0.015) Loss 1.6463 (1.7900) Prec@1 64.844 (59.388) Prec@5 83.594 (81.031) Epoch: [37][900/10010] Time 0.345 (0.374) Data 0.000 (0.014) Loss 1.9972 (1.7900) Prec@1 55.469 (59.393) Prec@5 77.344 (81.037) Epoch: [37][910/10010] Time 0.322 (0.374) Data 0.000 (0.014) Loss 1.8034 (1.7897) Prec@1 59.375 (59.394) Prec@5 79.688 (81.032) Epoch: [37][920/10010] Time 0.331 (0.374) Data 0.000 (0.014) Loss 2.1560 (1.7901) Prec@1 54.688 (59.389) Prec@5 76.562 (81.028) Epoch: [37][930/10010] Time 0.317 (0.373) Data 0.001 (0.014) Loss 1.8905 (1.7900) Prec@1 62.500 (59.398) Prec@5 78.125 (81.033) Epoch: [37][940/10010] Time 0.315 (0.381) Data 0.000 (0.014) Loss 1.7029 (1.7903) Prec@1 60.156 (59.377) Prec@5 78.906 (81.019) Epoch: [37][950/10010] Time 0.318 (0.381) Data 0.001 (0.014) Loss 1.7194 (1.7903) Prec@1 60.156 (59.368) Prec@5 82.812 (81.022) Epoch: [37][960/10010] Time 0.315 (0.380) Data 0.000 (0.014) Loss 1.6437 (1.7907) Prec@1 61.719 (59.357) Prec@5 83.594 (81.016) Epoch: [37][970/10010] Time 0.312 (0.379) Data 0.001 (0.013) Loss 1.6140 (1.7899) Prec@1 57.812 (59.369) Prec@5 85.156 (81.030) Epoch: [37][980/10010] Time 0.318 (0.379) Data 0.000 (0.013) Loss 1.9967 (1.7904) Prec@1 59.375 (59.370) Prec@5 79.688 (81.035) Epoch: [37][990/10010] Time 0.316 (0.378) Data 0.001 (0.013) Loss 1.7381 (1.7905) Prec@1 58.594 (59.371) Prec@5 82.812 (81.037) Epoch: [37][1000/10010] Time 0.317 (0.377) Data 0.001 (0.013) Loss 1.5329 (1.7907) Prec@1 64.062 (59.351) Prec@5 85.938 (81.037) /data/vision/torralba/deepscene/lib/anaconda2/lib/python2.7/site-packages/PIL/TiffImagePlugin.py:692: UserWarning: Possibly corrupt EXIF data. Expecting to read 2555904 bytes but only got 0. Skipping tag 0 "Skipping tag %s" % (size, len(data), tag)) Epoch: [37][1010/10010] Time 0.315 (0.377) Data 0.001 (0.013) Loss 1.9575 (1.7908) Prec@1 49.219 (59.339) Prec@5 77.344 (81.029) Epoch: [37][1020/10010] Time 0.314 (0.376) Data 0.000 (0.013) Loss 1.6192 (1.7902) Prec@1 61.719 (59.338) Prec@5 83.594 (81.039) Epoch: [37][1030/10010] Time 0.322 (0.376) Data 0.000 (0.013) Loss 1.7873 (1.7897) Prec@1 58.594 (59.344) Prec@5 82.031 (81.043) Epoch: [37][1040/10010] Time 0.324 (0.375) Data 0.001 (0.013) Loss 1.6451 (1.7895) Prec@1 60.156 (59.340) Prec@5 85.938 (81.053) Epoch: [37][1050/10010] Time 0.334 (0.375) Data 0.001 (0.012) Loss 1.7693 (1.7894) Prec@1 58.594 (59.339) Prec@5 76.562 (81.053) Epoch: [37][1060/10010] Time 0.338 (0.374) Data 0.000 (0.012) Loss 1.9468 (1.7897) Prec@1 57.031 (59.332) Prec@5 76.562 (81.045) Epoch: [37][1070/10010] Time 0.320 (0.374) Data 0.001 (0.012) Loss 1.9947 (1.7909) Prec@1 57.031 (59.301) Prec@5 77.344 (81.028) Epoch: [37][1080/10010] Time 0.325 (0.373) Data 0.001 (0.012) Loss 1.5137 (1.7914) Prec@1 64.062 (59.287) Prec@5 83.594 (81.018) Epoch: [37][1090/10010] Time 0.337 (0.373) Data 0.001 (0.012) Loss 1.7261 (1.7913) Prec@1 63.281 (59.287) Prec@5 81.250 (81.019) Epoch: [37][1100/10010] Time 0.338 (0.373) Data 0.001 (0.012) Loss 1.8387 (1.7917) Prec@1 54.688 (59.283) Prec@5 84.375 (81.014) Epoch: [37][1110/10010] Time 0.338 (0.372) Data 0.001 (0.012) Loss 1.6957 (1.7924) Prec@1 64.062 (59.270) Prec@5 82.031 (80.997) Epoch: [37][1120/10010] Time 0.339 (0.372) Data 0.001 (0.012) Loss 1.6571 (1.7916) Prec@1 58.594 (59.290) Prec@5 82.031 (81.001) Epoch: [37][1130/10010] Time 0.330 (0.372) Data 0.001 (0.012) Loss 2.2286 (1.7920) Prec@1 53.125 (59.285) Prec@5 72.656 (81.011) Epoch: [37][1140/10010] Time 0.332 (0.371) Data 0.001 (0.012) Loss 1.5892 (1.7920) Prec@1 61.719 (59.284) Prec@5 82.812 (81.006) Epoch: [37][1150/10010] Time 0.339 (0.371) Data 0.000 (0.011) Loss 1.9590 (1.7918) Prec@1 56.250 (59.275) Prec@5 78.906 (81.015) Epoch: [37][1160/10010] Time 0.326 (0.371) Data 0.001 (0.011) Loss 1.7215 (1.7913) Prec@1 57.031 (59.270) Prec@5 83.594 (81.020) Epoch: [37][1170/10010] Time 0.327 (0.370) Data 0.001 (0.011) Loss 1.7072 (1.7910) Prec@1 58.594 (59.268) Prec@5 80.469 (81.014) Epoch: [37][1180/10010] Time 0.335 (0.370) Data 0.001 (0.011) Loss 1.8582 (1.7912) Prec@1 59.375 (59.266) Prec@5 81.250 (81.016) Epoch: [37][1190/10010] Time 0.336 (0.370) Data 0.001 (0.011) Loss 1.2254 (1.7906) Prec@1 74.219 (59.277) Prec@5 90.625 (81.018) Epoch: [37][1200/10010] Time 0.318 (0.369) Data 0.001 (0.011) Loss 1.9880 (1.7916) Prec@1 58.594 (59.264) Prec@5 78.125 (81.003) Epoch: [37][1210/10010] Time 0.319 (0.369) Data 0.001 (0.011) Loss 1.7641 (1.7919) Prec@1 60.938 (59.264) Prec@5 82.031 (80.998) Epoch: [37][1220/10010] Time 0.338 (0.369) Data 0.000 (0.011) Loss 1.6799 (1.7919) Prec@1 59.375 (59.265) Prec@5 83.594 (80.990) Epoch: [37][1230/10010] Time 0.322 (0.368) Data 0.001 (0.011) Loss 1.8133 (1.7913) Prec@1 58.594 (59.265) Prec@5 78.906 (81.001) Epoch: [37][1240/10010] Time 0.334 (0.368) Data 0.001 (0.011) Loss 1.8795 (1.7909) Prec@1 54.688 (59.281) Prec@5 79.688 (81.008) Epoch: [37][1250/10010] Time 0.330 (0.368) Data 0.001 (0.011) Loss 1.9724 (1.7909) Prec@1 54.688 (59.292) Prec@5 77.344 (81.008) Epoch: [37][1260/10010] Time 0.317 (0.367) Data 0.000 (0.010) Loss 1.7450 (1.7912) Prec@1 64.062 (59.285) Prec@5 82.812 (81.001) Epoch: [37][1270/10010] Time 0.332 (0.367) Data 0.001 (0.010) Loss 1.8726 (1.7908) Prec@1 58.594 (59.284) Prec@5 85.156 (81.013) Epoch: [37][1280/10010] Time 0.330 (0.367) Data 0.001 (0.010) Loss 1.6117 (1.7904) Prec@1 65.625 (59.294) Prec@5 85.156 (81.029) Epoch: [37][1290/10010] Time 0.340 (0.366) Data 0.001 (0.010) Loss 1.6385 (1.7908) Prec@1 64.062 (59.295) Prec@5 83.594 (81.027) Epoch: [37][1300/10010] Time 0.331 (0.366) Data 0.000 (0.010) Loss 1.9702 (1.7919) Prec@1 53.125 (59.277) Prec@5 80.469 (81.003) Epoch: [37][1310/10010] Time 0.335 (0.366) Data 0.001 (0.010) Loss 1.8177 (1.7919) Prec@1 57.812 (59.273) Prec@5 81.250 (80.997) Epoch: [37][1320/10010] Time 0.314 (0.366) Data 0.001 (0.010) Loss 1.6836 (1.7919) Prec@1 59.375 (59.274) Prec@5 85.156 (81.000) Epoch: [37][1330/10010] Time 0.334 (0.365) Data 0.001 (0.010) Loss 1.6456 (1.7922) Prec@1 62.500 (59.265) Prec@5 80.469 (80.991) Epoch: [37][1340/10010] Time 0.316 (0.365) Data 0.001 (0.010) Loss 1.7863 (1.7920) Prec@1 57.812 (59.261) Prec@5 78.906 (80.995) Epoch: [37][1350/10010] Time 0.344 (0.365) Data 0.000 (0.010) Loss 1.6062 (1.7919) Prec@1 63.281 (59.264) Prec@5 83.594 (80.996) Epoch: [37][1360/10010] Time 0.318 (0.364) Data 0.001 (0.010) Loss 2.1841 (1.7917) Prec@1 50.781 (59.268) Prec@5 76.562 (80.996) Epoch: [37][1370/10010] Time 0.331 (0.364) Data 0.000 (0.010) Loss 1.6039 (1.7923) Prec@1 59.375 (59.266) Prec@5 82.812 (80.990) Epoch: [37][1380/10010] Time 0.319 (0.364) Data 0.000 (0.010) Loss 1.7933 (1.7918) Prec@1 60.938 (59.277) Prec@5 82.031 (81.001) Epoch: [37][1390/10010] Time 0.319 (0.363) Data 0.001 (0.010) Loss 1.7188 (1.7918) Prec@1 61.719 (59.267) Prec@5 84.375 (81.007) Epoch: [37][1400/10010] Time 0.336 (0.363) Data 0.000 (0.009) Loss 1.5616 (1.7917) Prec@1 58.594 (59.261) Prec@5 83.594 (81.008) Epoch: [37][1410/10010] Time 0.327 (0.363) Data 0.000 (0.009) Loss 1.9258 (1.7921) Prec@1 53.906 (59.260) Prec@5 78.906 (81.003) Epoch: [37][1420/10010] Time 0.316 (0.363) Data 0.001 (0.009) Loss 2.0232 (1.7922) Prec@1 53.125 (59.269) Prec@5 78.125 (80.998) Epoch: [37][1430/10010] Time 0.323 (0.362) Data 0.001 (0.009) Loss 1.6837 (1.7919) Prec@1 64.062 (59.275) Prec@5 82.812 (81.001) Epoch: [37][1440/10010] Time 0.336 (0.362) Data 0.001 (0.009) Loss 1.6155 (1.7928) Prec@1 60.156 (59.263) Prec@5 85.938 (80.997) Epoch: [37][1450/10010] Time 0.319 (0.362) Data 0.001 (0.009) Loss 1.4942 (1.7926) Prec@1 66.406 (59.263) Prec@5 87.500 (81.002) Epoch: [37][1460/10010] Time 0.319 (0.362) Data 0.001 (0.009) Loss 1.6884 (1.7923) Prec@1 61.719 (59.265) Prec@5 82.031 (81.005) Epoch: [37][1470/10010] Time 0.322 (0.362) Data 0.001 (0.009) Loss 1.9030 (1.7917) Prec@1 56.250 (59.279) Prec@5 77.344 (81.017) Epoch: [37][1480/10010] Time 0.316 (0.361) Data 0.000 (0.009) Loss 1.9660 (1.7920) Prec@1 62.500 (59.281) Prec@5 76.562 (81.013) Epoch: [37][1490/10010] Time 0.337 (0.361) Data 0.000 (0.009) Loss 1.7818 (1.7924) Prec@1 60.156 (59.278) Prec@5 78.125 (81.006) Epoch: [37][1500/10010] Time 0.317 (0.372) Data 0.000 (0.020) Loss 1.7620 (1.7927) Prec@1 59.375 (59.270) Prec@5 78.125 (81.000) Epoch: [37][1510/10010] Time 0.312 (0.371) Data 0.000 (0.020) Loss 1.4768 (1.7925) Prec@1 65.625 (59.270) Prec@5 86.719 (81.013) Epoch: [37][1520/10010] Time 0.314 (0.371) Data 0.001 (0.020) Loss 1.6631 (1.7925) Prec@1 56.250 (59.256) Prec@5 83.594 (81.015) Epoch: [37][1530/10010] Time 0.318 (0.371) Data 0.001 (0.020) Loss 1.7272 (1.7929) Prec@1 60.156 (59.244) Prec@5 80.469 (81.018) Epoch: [37][1540/10010] Time 0.316 (0.370) Data 0.001 (0.020) Loss 1.6389 (1.7931) Prec@1 60.156 (59.225) Prec@5 79.688 (81.011) Epoch: [37][1550/10010] Time 0.313 (0.370) Data 0.001 (0.020) Loss 1.7775 (1.7934) Prec@1 57.031 (59.223) Prec@5 82.031 (81.007) Epoch: [37][1560/10010] Time 0.317 (0.369) Data 0.000 (0.019) Loss 1.9049 (1.7941) Prec@1 60.156 (59.207) Prec@5 80.469 (80.995) Epoch: [37][1570/10010] Time 0.306 (0.369) Data 0.001 (0.019) Loss 1.8251 (1.7946) Prec@1 60.156 (59.198) Prec@5 83.594 (80.990) Epoch: [37][1580/10010] Time 0.315 (0.369) Data 0.001 (0.019) Loss 1.8081 (1.7943) Prec@1 57.812 (59.194) Prec@5 79.688 (80.995) Epoch: [37][1590/10010] Time 0.316 (0.368) Data 0.001 (0.019) Loss 1.6869 (1.7943) Prec@1 58.594 (59.198) Prec@5 80.469 (80.989) Epoch: [37][1600/10010] Time 0.318 (0.368) Data 0.000 (0.019) Loss 1.5463 (1.7943) Prec@1 65.625 (59.204) Prec@5 89.062 (80.996) Epoch: [37][1610/10010] Time 0.321 (0.368) Data 0.001 (0.019) Loss 1.7521 (1.7941) Prec@1 59.375 (59.209) Prec@5 80.469 (80.997) Epoch: [37][1620/10010] Time 0.336 (0.368) Data 0.001 (0.019) Loss 1.4754 (1.7940) Prec@1 66.406 (59.210) Prec@5 85.938 (81.002) Epoch: [37][1630/10010] Time 0.337 (0.367) Data 0.001 (0.019) Loss 1.5563 (1.7941) Prec@1 60.938 (59.210) Prec@5 87.500 (80.998) Epoch: [37][1640/10010] Time 0.310 (0.367) Data 0.001 (0.019) Loss 1.8389 (1.7942) Prec@1 60.938 (59.224) Prec@5 81.250 (80.994) Epoch: [37][1650/10010] Time 0.318 (0.367) Data 0.001 (0.018) Loss 1.6172 (1.7942) Prec@1 60.156 (59.230) Prec@5 82.031 (80.993) Epoch: [37][1660/10010] Time 0.324 (0.367) Data 0.001 (0.018) Loss 1.8900 (1.7947) Prec@1 59.375 (59.216) Prec@5 78.906 (80.980) Epoch: [37][1670/10010] Time 0.325 (0.366) Data 0.000 (0.018) Loss 1.8168 (1.7945) Prec@1 60.938 (59.216) Prec@5 78.906 (80.976) Epoch: [37][1680/10010] Time 0.321 (0.366) Data 0.001 (0.018) Loss 1.6221 (1.7945) Prec@1 62.500 (59.212) Prec@5 85.156 (80.971) Epoch: [37][1690/10010] Time 0.327 (0.366) Data 0.000 (0.018) Loss 1.6324 (1.7943) Prec@1 64.844 (59.226) Prec@5 86.719 (80.976) Epoch: [37][1700/10010] Time 0.320 (0.366) Data 0.000 (0.018) Loss 2.0639 (1.7937) Prec@1 57.031 (59.236) Prec@5 75.000 (80.985) Epoch: [37][1710/10010] Time 0.324 (0.366) Data 0.001 (0.018) Loss 1.7961 (1.7937) Prec@1 59.375 (59.233) Prec@5 79.688 (80.977) Epoch: [37][1720/10010] Time 0.336 (0.365) Data 0.000 (0.018) Loss 1.7603 (1.7936) Prec@1 60.938 (59.239) Prec@5 84.375 (80.983) Epoch: [37][1730/10010] Time 0.328 (0.365) Data 0.001 (0.018) Loss 2.4388 (1.7941) Prec@1 43.750 (59.230) Prec@5 69.531 (80.966) Epoch: [37][1740/10010] Time 0.318 (0.365) Data 0.001 (0.017) Loss 1.7921 (1.7939) Prec@1 59.375 (59.231) Prec@5 82.812 (80.977) Epoch: [37][1750/10010] Time 0.313 (0.365) Data 0.001 (0.017) Loss 1.6690 (1.7938) Prec@1 58.594 (59.237) Prec@5 84.375 (80.982) Epoch: [37][1760/10010] Time 0.330 (0.364) Data 0.001 (0.017) Loss 2.0411 (1.7946) Prec@1 56.250 (59.218) Prec@5 76.562 (80.969) Epoch: [37][1770/10010] Time 0.336 (0.364) Data 0.001 (0.017) Loss 2.0458 (1.7945) Prec@1 59.375 (59.221) Prec@5 73.438 (80.971) Epoch: [37][1780/10010] Time 0.337 (0.364) Data 0.001 (0.017) Loss 1.5818 (1.7948) Prec@1 63.281 (59.205) Prec@5 83.594 (80.967) Epoch: [37][1790/10010] Time 0.320 (0.364) Data 0.001 (0.017) Loss 2.1258 (1.7952) Prec@1 55.469 (59.207) Prec@5 76.562 (80.962) Epoch: [37][1800/10010] Time 0.339 (0.364) Data 0.000 (0.017) Loss 1.7469 (1.7950) Prec@1 60.938 (59.208) Prec@5 81.250 (80.960) Epoch: [37][1810/10010] Time 0.339 (0.363) Data 0.001 (0.017) Loss 1.8471 (1.7947) Prec@1 53.906 (59.209) Prec@5 83.594 (80.972) Epoch: [37][1820/10010] Time 0.336 (0.363) Data 0.000 (0.017) Loss 1.8727 (1.7946) Prec@1 59.375 (59.214) Prec@5 84.375 (80.979) Epoch: [37][1830/10010] Time 0.321 (0.363) Data 0.000 (0.017) Loss 1.4070 (1.7942) Prec@1 67.969 (59.224) Prec@5 89.062 (80.990) Epoch: [37][1840/10010] Time 0.338 (0.363) Data 0.001 (0.017) Loss 1.8574 (1.7943) Prec@1 57.031 (59.221) Prec@5 83.594 (80.986) Epoch: [37][1850/10010] Time 0.334 (0.363) Data 0.000 (0.016) Loss 2.1401 (1.7945) Prec@1 54.688 (59.215) Prec@5 78.906 (80.987) Epoch: [37][1860/10010] Time 0.335 (0.362) Data 0.000 (0.016) Loss 2.0954 (1.7943) Prec@1 52.344 (59.215) Prec@5 75.781 (80.988) Epoch: [37][1870/10010] Time 0.329 (0.362) Data 0.001 (0.016) Loss 2.0539 (1.7944) Prec@1 53.906 (59.209) Prec@5 79.688 (80.987) Epoch: [37][1880/10010] Time 0.328 (0.362) Data 0.000 (0.016) Loss 1.8853 (1.7942) Prec@1 60.156 (59.213) Prec@5 78.906 (80.994) Epoch: [37][1890/10010] Time 0.321 (0.362) Data 0.001 (0.016) Loss 1.8432 (1.7941) Prec@1 58.594 (59.212) Prec@5 78.906 (80.996) Epoch: [37][1900/10010] Time 0.318 (0.362) Data 0.001 (0.016) Loss 1.8858 (1.7944) Prec@1 55.469 (59.209) Prec@5 80.469 (80.996) Epoch: [37][1910/10010] Time 0.322 (0.361) Data 0.001 (0.016) Loss 1.6711 (1.7947) Prec@1 65.625 (59.203) Prec@5 81.250 (80.983) Epoch: [37][1920/10010] Time 0.324 (0.361) Data 0.001 (0.016) Loss 1.8021 (1.7950) Prec@1 59.375 (59.199) Prec@5 81.250 (80.982) Epoch: [37][1930/10010] Time 0.327 (0.361) Data 0.001 (0.016) Loss 1.6811 (1.7949) Prec@1 60.156 (59.206) Prec@5 82.812 (80.985) Epoch: [37][1940/10010] Time 0.336 (0.361) Data 0.001 (0.016) Loss 1.9565 (1.7952) Prec@1 57.812 (59.206) Prec@5 77.344 (80.983) Epoch: [37][1950/10010] Time 0.334 (0.361) Data 0.001 (0.016) Loss 1.6608 (1.7949) Prec@1 60.156 (59.219) Prec@5 82.812 (80.983) Epoch: [37][1960/10010] Time 0.320 (0.361) Data 0.001 (0.016) Loss 1.6511 (1.7946) Prec@1 61.719 (59.231) Prec@5 81.250 (80.989) Epoch: [37][1970/10010] Time 0.333 (0.360) Data 0.001 (0.016) Loss 2.0952 (1.7946) Prec@1 53.906 (59.232) Prec@5 76.562 (80.988) Epoch: [37][1980/10010] Time 0.313 (0.360) Data 0.001 (0.015) Loss 1.8589 (1.7948) Prec@1 57.031 (59.234) Prec@5 80.469 (80.986) Epoch: [37][1990/10010] Time 0.328 (0.360) Data 0.001 (0.015) Loss 1.9073 (1.7949) Prec@1 51.562 (59.232) Prec@5 80.469 (80.986) Epoch: [37][2000/10010] Time 0.318 (0.360) Data 0.001 (0.015) Loss 2.1446 (1.7950) Prec@1 53.125 (59.231) Prec@5 78.125 (80.987) Epoch: [37][2010/10010] Time 0.326 (0.360) Data 0.000 (0.015) Loss 1.6202 (1.7953) Prec@1 60.156 (59.221) Prec@5 83.594 (80.979) Epoch: [37][2020/10010] Time 0.318 (0.360) Data 0.001 (0.015) Loss 1.6791 (1.7952) Prec@1 60.938 (59.223) Prec@5 82.031 (80.980) Epoch: [37][2030/10010] Time 0.314 (0.359) Data 0.001 (0.015) Loss 1.9614 (1.7954) Prec@1 53.125 (59.212) Prec@5 81.250 (80.974) Epoch: [37][2040/10010] Time 0.324 (0.359) Data 0.000 (0.015) Loss 1.6808 (1.7952) Prec@1 62.500 (59.216) Prec@5 82.031 (80.975) Epoch: [37][2050/10010] Time 0.320 (0.359) Data 0.001 (0.015) Loss 1.5296 (1.7949) Prec@1 58.594 (59.216) Prec@5 86.719 (80.979) Epoch: [37][2060/10010] Time 0.324 (0.359) Data 0.001 (0.015) Loss 1.9056 (1.7950) Prec@1 59.375 (59.218) Prec@5 81.250 (80.979) Epoch: [37][2070/10010] Time 0.313 (0.359) Data 0.000 (0.015) Loss 1.4823 (1.7946) Prec@1 66.406 (59.237) Prec@5 84.375 (80.982) Epoch: [37][2080/10010] Time 0.336 (0.359) Data 0.001 (0.015) Loss 1.8113 (1.7945) Prec@1 58.594 (59.239) Prec@5 79.688 (80.983) Epoch: [37][2090/10010] Time 0.323 (0.358) Data 0.001 (0.015) Loss 1.8043 (1.7945) Prec@1 56.250 (59.245) Prec@5 83.594 (80.983) Epoch: [37][2100/10010] Time 0.323 (0.358) Data 0.001 (0.015) Loss 1.7225 (1.7941) Prec@1 60.938 (59.256) Prec@5 81.250 (80.989) Epoch: [37][2110/10010] Time 0.335 (0.358) Data 0.000 (0.015) Loss 1.8876 (1.7940) Prec@1 53.125 (59.257) Prec@5 81.250 (80.995) Epoch: [37][2120/10010] Time 0.322 (0.358) Data 0.000 (0.014) Loss 1.6945 (1.7940) Prec@1 63.281 (59.251) Prec@5 84.375 (81.000) Epoch: [37][2130/10010] Time 0.322 (0.358) Data 0.001 (0.014) Loss 2.1358 (1.7944) Prec@1 55.469 (59.246) Prec@5 76.562 (80.995) Epoch: [37][2140/10010] Time 0.320 (0.358) Data 0.001 (0.014) Loss 1.7442 (1.7942) Prec@1 60.938 (59.246) Prec@5 78.906 (80.999) Epoch: [37][2150/10010] Time 0.340 (0.358) Data 0.000 (0.014) Loss 2.0293 (1.7945) Prec@1 50.781 (59.232) Prec@5 80.469 (80.999) Epoch: [37][2160/10010] Time 0.341 (0.357) Data 0.001 (0.014) Loss 1.9632 (1.7946) Prec@1 52.344 (59.230) Prec@5 78.906 (80.997) Epoch: [37][2170/10010] Time 0.325 (0.357) Data 0.001 (0.014) Loss 2.0732 (1.7948) Prec@1 49.219 (59.225) Prec@5 82.812 (80.998) Epoch: [37][2180/10010] Time 0.324 (0.357) Data 0.001 (0.014) Loss 1.7984 (1.7952) Prec@1 59.375 (59.221) Prec@5 83.594 (80.991) Epoch: [37][2190/10010] Time 0.313 (0.357) Data 0.001 (0.014) Loss 1.9066 (1.7951) Prec@1 57.812 (59.222) Prec@5 79.688 (80.990) Epoch: [37][2200/10010] Time 0.323 (0.357) Data 0.000 (0.014) Loss 1.9078 (1.7948) Prec@1 54.688 (59.226) Prec@5 76.562 (80.988) Epoch: [37][2210/10010] Time 0.328 (0.357) Data 0.001 (0.014) Loss 1.8080 (1.7951) Prec@1 61.719 (59.229) Prec@5 78.906 (80.984) Epoch: [37][2220/10010] Time 0.337 (0.357) Data 0.001 (0.014) Loss 1.6719 (1.7950) Prec@1 67.188 (59.233) Prec@5 81.250 (80.980) Epoch: [37][2230/10010] Time 0.323 (0.356) Data 0.001 (0.014) Loss 1.6131 (1.7953) Prec@1 67.188 (59.227) Prec@5 85.156 (80.978) Epoch: [37][2240/10010] Time 0.324 (0.356) Data 0.001 (0.014) Loss 2.0410 (1.7954) Prec@1 61.719 (59.223) Prec@5 80.469 (80.979) Epoch: [37][2250/10010] Time 0.315 (0.356) Data 0.001 (0.014) Loss 2.0594 (1.7956) Prec@1 57.812 (59.221) Prec@5 77.344 (80.976) Epoch: [37][2260/10010] Time 0.339 (0.356) Data 0.001 (0.014) Loss 1.7205 (1.7958) Prec@1 59.375 (59.216) Prec@5 81.250 (80.975) Epoch: [37][2270/10010] Time 0.318 (0.356) Data 0.000 (0.014) Loss 1.8510 (1.7955) Prec@1 57.031 (59.220) Prec@5 77.344 (80.977) Epoch: [37][2280/10010] Time 0.324 (0.356) Data 0.000 (0.013) Loss 1.5391 (1.7950) Prec@1 66.406 (59.227) Prec@5 84.375 (80.980) Epoch: [37][2290/10010] Time 0.325 (0.356) Data 0.001 (0.013) Loss 1.7750 (1.7955) Prec@1 63.281 (59.220) Prec@5 80.469 (80.973) Epoch: [37][2300/10010] Time 0.316 (0.356) Data 0.001 (0.013) Loss 1.5988 (1.7957) Prec@1 57.812 (59.212) Prec@5 82.031 (80.970) Epoch: [37][2310/10010] Time 0.337 (0.355) Data 0.001 (0.013) Loss 1.7479 (1.7955) Prec@1 63.281 (59.223) Prec@5 78.125 (80.967) Epoch: [37][2320/10010] Time 0.320 (0.355) Data 0.000 (0.013) Loss 1.7927 (1.7957) Prec@1 54.688 (59.214) Prec@5 82.031 (80.960) Epoch: [37][2330/10010] Time 0.334 (0.355) Data 0.001 (0.013) Loss 2.0090 (1.7956) Prec@1 53.906 (59.217) Prec@5 80.469 (80.965) Epoch: [37][2340/10010] Time 0.322 (0.355) Data 0.001 (0.013) Loss 1.6489 (1.7956) Prec@1 60.938 (59.214) Prec@5 82.812 (80.962) Epoch: [37][2350/10010] Time 0.337 (0.355) Data 0.001 (0.013) Loss 2.1345 (1.7962) Prec@1 53.125 (59.209) Prec@5 78.125 (80.953) Epoch: [37][2360/10010] Time 0.335 (0.355) Data 0.001 (0.013) Loss 1.6581 (1.7957) Prec@1 64.062 (59.217) Prec@5 83.594 (80.966) Epoch: [37][2370/10010] Time 0.343 (0.355) Data 0.001 (0.013) Loss 1.6333 (1.7958) Prec@1 67.188 (59.217) Prec@5 85.156 (80.966) Epoch: [37][2380/10010] Time 0.324 (0.355) Data 0.001 (0.013) Loss 1.9815 (1.7962) Prec@1 55.469 (59.213) Prec@5 78.125 (80.959) Epoch: [37][2390/10010] Time 0.336 (0.355) Data 0.001 (0.013) Loss 2.0006 (1.7961) Prec@1 60.938 (59.221) Prec@5 78.125 (80.963) Epoch: [37][2400/10010] Time 0.338 (0.354) Data 0.000 (0.013) Loss 1.3259 (1.7961) Prec@1 69.531 (59.227) Prec@5 85.938 (80.960) Epoch: [37][2410/10010] Time 0.335 (0.354) Data 0.001 (0.013) Loss 1.5083 (1.7958) Prec@1 61.719 (59.232) Prec@5 86.719 (80.963) Epoch: [37][2420/10010] Time 0.317 (0.354) Data 0.000 (0.013) Loss 1.8939 (1.7959) Prec@1 57.812 (59.228) Prec@5 76.562 (80.963) Epoch: [37][2430/10010] Time 0.338 (0.354) Data 0.001 (0.013) Loss 1.8495 (1.7960) Prec@1 57.812 (59.228) Prec@5 80.469 (80.960) Epoch: [37][2440/10010] Time 0.326 (0.354) Data 0.001 (0.013) Loss 1.9386 (1.7961) Prec@1 61.719 (59.231) Prec@5 78.906 (80.963) Epoch: [37][2450/10010] Time 0.334 (0.354) Data 0.001 (0.013) Loss 2.1612 (1.7964) Prec@1 56.250 (59.224) Prec@5 76.562 (80.958) Epoch: [37][2460/10010] Time 0.335 (0.354) Data 0.001 (0.013) Loss 1.7451 (1.7966) Prec@1 60.938 (59.222) Prec@5 82.031 (80.952) Epoch: [37][2470/10010] Time 0.336 (0.354) Data 0.001 (0.013) Loss 1.8189 (1.7969) Prec@1 57.812 (59.221) Prec@5 80.469 (80.953) Epoch: [37][2480/10010] Time 0.316 (0.354) Data 0.001 (0.012) Loss 1.8381 (1.7969) Prec@1 57.812 (59.225) Prec@5 78.906 (80.952) Epoch: [37][2490/10010] Time 0.322 (0.353) Data 0.001 (0.012) Loss 1.8531 (1.7973) Prec@1 59.375 (59.215) Prec@5 80.469 (80.944) Epoch: [37][2500/10010] Time 0.324 (0.353) Data 0.001 (0.012) Loss 1.9125 (1.7974) Prec@1 49.219 (59.209) Prec@5 82.031 (80.945) Epoch: [37][2510/10010] Time 0.317 (0.353) Data 0.001 (0.012) Loss 1.7069 (1.7975) Prec@1 62.500 (59.202) Prec@5 85.156 (80.944) Epoch: [37][2520/10010] Time 0.327 (0.353) Data 0.000 (0.012) Loss 1.8127 (1.7981) Prec@1 56.250 (59.190) Prec@5 78.125 (80.935) Epoch: [37][2530/10010] Time 0.327 (0.353) Data 0.001 (0.012) Loss 1.9352 (1.7980) Prec@1 62.500 (59.195) Prec@5 82.031 (80.938) Epoch: [37][2540/10010] Time 0.322 (0.353) Data 0.001 (0.012) Loss 1.7030 (1.7982) Prec@1 64.062 (59.194) Prec@5 78.906 (80.940) Epoch: [37][2550/10010] Time 0.332 (0.353) Data 0.000 (0.012) Loss 1.7360 (1.7981) Prec@1 60.156 (59.194) Prec@5 84.375 (80.939) Epoch: [37][2560/10010] Time 0.340 (0.353) Data 0.001 (0.012) Loss 1.6174 (1.7983) Prec@1 61.719 (59.190) Prec@5 80.469 (80.935) Epoch: [37][2570/10010] Time 0.321 (0.353) Data 0.001 (0.012) Loss 1.9995 (1.7985) Prec@1 56.250 (59.183) Prec@5 76.562 (80.931) Epoch: [37][2580/10010] Time 0.333 (0.352) Data 0.001 (0.012) Loss 1.8940 (1.7985) Prec@1 59.375 (59.188) Prec@5 77.344 (80.927) Epoch: [37][2590/10010] Time 0.321 (0.352) Data 0.001 (0.012) Loss 1.6236 (1.7987) Prec@1 63.281 (59.184) Prec@5 84.375 (80.927) Epoch: [37][2600/10010] Time 0.339 (0.352) Data 0.001 (0.012) Loss 2.0373 (1.7988) Prec@1 52.344 (59.184) Prec@5 75.000 (80.921) Epoch: [37][2610/10010] Time 0.327 (0.352) Data 0.001 (0.012) Loss 2.0291 (1.7989) Prec@1 60.156 (59.181) Prec@5 75.781 (80.914) Epoch: [37][2620/10010] Time 0.323 (0.352) Data 0.001 (0.012) Loss 1.9266 (1.7992) Prec@1 58.594 (59.176) Prec@5 78.906 (80.910) Epoch: [37][2630/10010] Time 0.323 (0.352) Data 0.001 (0.012) Loss 1.7083 (1.7994) Prec@1 63.281 (59.171) Prec@5 83.594 (80.905) Epoch: [37][2640/10010] Time 0.314 (0.352) Data 0.001 (0.012) Loss 1.7280 (1.7991) Prec@1 60.156 (59.178) Prec@5 79.688 (80.912) Epoch: [37][2650/10010] Time 0.333 (0.352) Data 0.001 (0.012) Loss 1.7366 (1.7990) Prec@1 52.344 (59.177) Prec@5 80.469 (80.916) Epoch: [37][2660/10010] Time 0.328 (0.352) Data 0.001 (0.012) Loss 1.6792 (1.7990) Prec@1 60.938 (59.178) Prec@5 84.375 (80.919) Epoch: [37][2670/10010] Time 0.327 (0.352) Data 0.001 (0.012) Loss 1.3698 (1.7988) Prec@1 69.531 (59.179) Prec@5 88.281 (80.920) Epoch: [37][2680/10010] Time 0.340 (0.351) Data 0.000 (0.012) Loss 1.6361 (1.7987) Prec@1 63.281 (59.184) Prec@5 81.250 (80.919) Epoch: [37][2690/10010] Time 0.334 (0.351) Data 0.001 (0.012) Loss 1.8448 (1.7986) Prec@1 57.812 (59.190) Prec@5 82.031 (80.918) Epoch: [37][2700/10010] Time 0.320 (0.351) Data 0.001 (0.012) Loss 2.0956 (1.7989) Prec@1 50.781 (59.185) Prec@5 76.562 (80.918) Epoch: [37][2710/10010] Time 0.316 (0.351) Data 0.001 (0.011) Loss 2.0572 (1.7989) Prec@1 54.688 (59.190) Prec@5 77.344 (80.916) Epoch: [37][2720/10010] Time 0.328 (0.351) Data 0.001 (0.011) Loss 1.6152 (1.7988) Prec@1 65.625 (59.197) Prec@5 84.375 (80.917) Epoch: [37][2730/10010] Time 0.338 (0.351) Data 0.001 (0.011) Loss 1.9033 (1.7988) Prec@1 61.719 (59.198) Prec@5 77.344 (80.915) Epoch: [37][2740/10010] Time 0.312 (0.351) Data 0.001 (0.011) Loss 1.5771 (1.7987) Prec@1 57.812 (59.198) Prec@5 82.812 (80.919) Epoch: [37][2750/10010] Time 0.327 (0.351) Data 0.001 (0.011) Loss 1.9115 (1.7988) Prec@1 57.812 (59.196) Prec@5 76.562 (80.916) Epoch: [37][2760/10010] Time 0.338 (0.351) Data 0.000 (0.011) Loss 1.6199 (1.7989) Prec@1 62.500 (59.194) Prec@5 83.594 (80.920) Epoch: [37][2770/10010] Time 0.333 (0.351) Data 0.001 (0.011) Loss 1.7026 (1.7988) Prec@1 60.156 (59.193) Prec@5 82.812 (80.924) Epoch: [37][2780/10010] Time 0.325 (0.351) Data 0.000 (0.011) Loss 2.0303 (1.7989) Prec@1 54.688 (59.187) Prec@5 79.688 (80.923) Epoch: [37][2790/10010] Time 0.330 (0.351) Data 0.000 (0.011) Loss 1.9535 (1.7989) Prec@1 60.156 (59.188) Prec@5 81.250 (80.921) Epoch: [37][2800/10010] Time 0.336 (0.350) Data 0.001 (0.011) Loss 1.7834 (1.7991) Prec@1 64.062 (59.179) Prec@5 81.250 (80.918) Epoch: [37][2810/10010] Time 0.317 (0.350) Data 0.001 (0.011) Loss 1.7657 (1.7990) Prec@1 58.594 (59.182) Prec@5 82.812 (80.921) Epoch: [37][2820/10010] Time 0.332 (0.350) Data 0.001 (0.011) Loss 1.8929 (1.7991) Prec@1 57.031 (59.178) Prec@5 80.469 (80.921) Epoch: [37][2830/10010] Time 0.330 (0.350) Data 0.001 (0.011) Loss 1.4764 (1.7990) Prec@1 64.844 (59.180) Prec@5 84.375 (80.921) Epoch: [37][2840/10010] Time 0.343 (0.350) Data 0.000 (0.011) Loss 1.8400 (1.7993) Prec@1 56.250 (59.171) Prec@5 80.469 (80.918) Epoch: [37][2850/10010] Time 0.322 (0.350) Data 0.001 (0.011) Loss 1.6204 (1.7991) Prec@1 66.406 (59.175) Prec@5 85.156 (80.920) Epoch: [37][2860/10010] Time 0.315 (0.350) Data 0.001 (0.011) Loss 1.8168 (1.7989) Prec@1 57.031 (59.179) Prec@5 81.250 (80.921) Epoch: [37][2870/10010] Time 0.333 (0.350) Data 0.001 (0.011) Loss 1.8398 (1.7990) Prec@1 57.812 (59.175) Prec@5 82.031 (80.924) Epoch: [37][2880/10010] Time 0.321 (0.350) Data 0.001 (0.011) Loss 1.8773 (1.7993) Prec@1 60.156 (59.169) Prec@5 78.125 (80.918) Epoch: [37][2890/10010] Time 0.320 (0.350) Data 0.001 (0.011) Loss 1.7894 (1.7994) Prec@1 58.594 (59.170) Prec@5 76.562 (80.915) Epoch: [37][2900/10010] Time 0.339 (0.350) Data 0.001 (0.011) Loss 1.6713 (1.7990) Prec@1 64.062 (59.178) Prec@5 82.812 (80.919) Epoch: [37][2910/10010] Time 0.323 (0.350) Data 0.001 (0.011) Loss 1.9466 (1.7991) Prec@1 57.812 (59.174) Prec@5 78.906 (80.917) Epoch: [37][2920/10010] Time 0.315 (0.350) Data 0.001 (0.011) Loss 1.6780 (1.7988) Prec@1 61.719 (59.177) Prec@5 82.812 (80.922) Epoch: [37][2930/10010] Time 0.310 (0.349) Data 0.001 (0.011) Loss 2.0861 (1.7992) Prec@1 53.906 (59.176) Prec@5 75.781 (80.913) Epoch: [37][2940/10010] Time 0.317 (0.349) Data 0.001 (0.011) Loss 1.7894 (1.7991) Prec@1 51.562 (59.181) Prec@5 81.250 (80.914) Epoch: [37][2950/10010] Time 0.341 (0.349) Data 0.000 (0.011) Loss 1.5134 (1.7990) Prec@1 61.719 (59.182) Prec@5 85.156 (80.918) Epoch: [37][2960/10010] Time 0.341 (0.349) Data 0.000 (0.011) Loss 1.7112 (1.7991) Prec@1 60.156 (59.182) Prec@5 80.469 (80.915) Epoch: [37][2970/10010] Time 0.328 (0.349) Data 0.000 (0.011) Loss 1.7000 (1.7994) Prec@1 57.812 (59.173) Prec@5 87.500 (80.913) Epoch: [37][2980/10010] Time 0.329 (0.349) Data 0.001 (0.010) Loss 1.7142 (1.7991) Prec@1 65.625 (59.182) Prec@5 82.031 (80.917) Epoch: [37][2990/10010] Time 0.317 (0.349) Data 0.001 (0.010) Loss 1.8420 (1.7990) Prec@1 52.344 (59.178) Prec@5 82.812 (80.921) Epoch: [37][3000/10010] Time 0.341 (0.349) Data 0.003 (0.010) Loss 1.8681 (1.7994) Prec@1 60.156 (59.173) Prec@5 78.906 (80.911) Epoch: [37][3010/10010] Time 0.321 (0.349) Data 0.000 (0.010) Loss 1.7371 (1.7996) Prec@1 56.250 (59.175) Prec@5 80.469 (80.906) Epoch: [37][3020/10010] Time 0.319 (0.349) Data 0.001 (0.010) Loss 1.6748 (1.7991) Prec@1 58.594 (59.185) Prec@5 82.031 (80.915) Epoch: [37][3030/10010] Time 0.320 (0.349) Data 0.001 (0.010) Loss 1.7135 (1.7994) Prec@1 58.594 (59.178) Prec@5 82.812 (80.908) Epoch: [37][3040/10010] Time 0.341 (0.349) Data 0.001 (0.010) Loss 1.9920 (1.7994) Prec@1 53.125 (59.176) Prec@5 77.344 (80.907) Epoch: [37][3050/10010] Time 0.341 (0.349) Data 0.001 (0.010) Loss 1.8667 (1.7995) Prec@1 57.031 (59.175) Prec@5 78.125 (80.904) Epoch: [37][3060/10010] Time 0.323 (0.349) Data 0.001 (0.010) Loss 1.8908 (1.7996) Prec@1 53.906 (59.173) Prec@5 86.719 (80.907) Epoch: [37][3070/10010] Time 0.324 (0.348) Data 0.001 (0.010) Loss 1.8553 (1.7997) Prec@1 57.031 (59.170) Prec@5 80.469 (80.904) Epoch: [37][3080/10010] Time 0.323 (0.348) Data 0.001 (0.010) Loss 1.6342 (1.7995) Prec@1 61.719 (59.168) Prec@5 81.250 (80.908) Epoch: [37][3090/10010] Time 0.330 (0.348) Data 0.001 (0.010) Loss 1.6489 (1.7996) Prec@1 66.406 (59.169) Prec@5 79.688 (80.905) Epoch: [37][3100/10010] Time 0.323 (0.348) Data 0.000 (0.010) Loss 2.0132 (1.7996) Prec@1 50.781 (59.161) Prec@5 78.125 (80.903) Epoch: [37][3110/10010] Time 0.322 (0.348) Data 0.001 (0.010) Loss 1.6338 (1.7993) Prec@1 61.719 (59.165) Prec@5 82.031 (80.908) Epoch: [37][3120/10010] Time 0.327 (0.348) Data 0.000 (0.010) Loss 2.2364 (1.7995) Prec@1 51.562 (59.168) Prec@5 76.562 (80.902) Epoch: [37][3130/10010] Time 0.315 (0.348) Data 0.001 (0.010) Loss 1.6813 (1.7996) Prec@1 60.938 (59.160) Prec@5 82.031 (80.902) Epoch: [37][3140/10010] Time 0.337 (0.348) Data 0.000 (0.010) Loss 1.6604 (1.7996) Prec@1 60.156 (59.161) Prec@5 85.156 (80.904) Epoch: [37][3150/10010] Time 0.321 (0.348) Data 0.004 (0.010) Loss 1.7985 (1.7998) Prec@1 59.375 (59.155) Prec@5 85.938 (80.903) Epoch: [37][3160/10010] Time 0.329 (0.348) Data 0.000 (0.010) Loss 1.7883 (1.7999) Prec@1 58.594 (59.157) Prec@5 80.469 (80.901) Epoch: [37][3170/10010] Time 0.318 (0.349) Data 0.001 (0.011) Loss 1.6263 (1.7999) Prec@1 62.500 (59.156) Prec@5 83.594 (80.902) Epoch: [37][3180/10010] Time 0.327 (0.349) Data 0.000 (0.011) Loss 1.8683 (1.7996) Prec@1 61.719 (59.165) Prec@5 78.906 (80.905) Epoch: [37][3190/10010] Time 0.341 (0.349) Data 0.001 (0.011) Loss 1.5854 (1.7996) Prec@1 61.719 (59.162) Prec@5 82.031 (80.903) Epoch: [37][3200/10010] Time 0.323 (0.349) Data 0.001 (0.011) Loss 2.0272 (1.7995) Prec@1 55.469 (59.161) Prec@5 75.000 (80.905) Epoch: [37][3210/10010] Time 0.321 (0.349) Data 0.001 (0.011) Loss 1.5523 (1.7996) Prec@1 64.844 (59.158) Prec@5 85.156 (80.906) Epoch: [37][3220/10010] Time 0.322 (0.349) Data 0.001 (0.011) Loss 1.9427 (1.7996) Prec@1 57.031 (59.161) Prec@5 79.688 (80.907) Epoch: [37][3230/10010] Time 0.334 (0.349) Data 0.001 (0.011) Loss 1.7367 (1.7998) Prec@1 59.375 (59.162) Prec@5 85.156 (80.905) Epoch: [37][3240/10010] Time 0.329 (0.348) Data 0.001 (0.011) Loss 1.5960 (1.7997) Prec@1 63.281 (59.166) Prec@5 79.688 (80.905) Epoch: [37][3250/10010] Time 0.338 (0.348) Data 0.001 (0.011) Loss 1.7630 (1.7998) Prec@1 55.469 (59.161) Prec@5 80.469 (80.901) Epoch: [37][3260/10010] Time 0.342 (0.348) Data 0.001 (0.011) Loss 1.8222 (1.8001) Prec@1 53.906 (59.155) Prec@5 78.906 (80.899) Epoch: [37][3270/10010] Time 0.320 (0.348) Data 0.000 (0.011) Loss 1.9238 (1.8001) Prec@1 57.812 (59.157) Prec@5 77.344 (80.897) Epoch: [37][3280/10010] Time 0.338 (0.348) Data 0.001 (0.011) Loss 1.6010 (1.8002) Prec@1 64.062 (59.155) Prec@5 82.812 (80.900) Epoch: [37][3290/10010] Time 0.333 (0.348) Data 0.001 (0.011) Loss 1.6947 (1.8001) Prec@1 67.188 (59.161) Prec@5 82.031 (80.898) Epoch: [37][3300/10010] Time 0.330 (0.348) Data 0.001 (0.011) Loss 2.0436 (1.7999) Prec@1 60.156 (59.170) Prec@5 73.438 (80.900) Epoch: [37][3310/10010] Time 0.339 (0.348) Data 0.001 (0.011) Loss 1.8567 (1.8002) Prec@1 56.250 (59.166) Prec@5 82.031 (80.899) Epoch: [37][3320/10010] Time 0.337 (0.348) Data 0.001 (0.011) Loss 1.8025 (1.8002) Prec@1 60.938 (59.169) Prec@5 80.469 (80.896) Epoch: [37][3330/10010] Time 0.335 (0.348) Data 0.001 (0.011) Loss 1.8535 (1.8002) Prec@1 56.250 (59.167) Prec@5 83.594 (80.896) Epoch: [37][3340/10010] Time 0.335 (0.348) Data 0.000 (0.011) Loss 1.6789 (1.8004) Prec@1 60.938 (59.166) Prec@5 82.031 (80.893) /data/vision/torralba/deepscene/lib/anaconda2/lib/python2.7/site-packages/PIL/TiffImagePlugin.py:692: UserWarning: Possibly corrupt EXIF data. Expecting to read 2555904 bytes but only got 0. Skipping tag 0 "Skipping tag %s" % (size, len(data), tag)) Epoch: [37][3350/10010] Time 0.334 (0.348) Data 0.000 (0.011) Loss 1.7893 (1.8007) Prec@1 61.719 (59.159) Prec@5 78.906 (80.887) Epoch: [37][3360/10010] Time 0.331 (0.348) Data 0.001 (0.011) Loss 1.7495 (1.8008) Prec@1 57.812 (59.160) Prec@5 78.125 (80.885) Epoch: [37][3370/10010] Time 0.337 (0.348) Data 0.001 (0.011) Loss 1.9804 (1.8009) Prec@1 53.125 (59.156) Prec@5 78.906 (80.884) Epoch: [37][3380/10010] Time 0.340 (0.348) Data 0.000 (0.011) Loss 1.7792 (1.8008) Prec@1 60.938 (59.162) Prec@5 83.594 (80.887) Epoch: [37][3390/10010] Time 0.340 (0.348) Data 0.001 (0.011) Loss 1.8627 (1.8010) Prec@1 59.375 (59.160) Prec@5 77.344 (80.880) Epoch: [37][3400/10010] Time 0.336 (0.348) Data 0.001 (0.011) Loss 1.7831 (1.8011) Prec@1 60.938 (59.159) Prec@5 82.031 (80.879) Epoch: [37][3410/10010] Time 0.335 (0.348) Data 0.001 (0.011) Loss 1.9193 (1.8013) Prec@1 57.812 (59.156) Prec@5 75.781 (80.876) Epoch: [37][3420/10010] Time 0.339 (0.348) Data 0.000 (0.010) Loss 1.8952 (1.8015) Prec@1 62.500 (59.155) Prec@5 79.688 (80.870) Epoch: [37][3430/10010] Time 0.321 (0.347) Data 0.000 (0.010) Loss 1.9423 (1.8014) Prec@1 57.812 (59.154) Prec@5 79.688 (80.871) Epoch: [37][3440/10010] Time 0.321 (0.347) Data 0.001 (0.010) Loss 1.7456 (1.8012) Prec@1 64.062 (59.157) Prec@5 80.469 (80.877) Epoch: [37][3450/10010] Time 0.336 (0.347) Data 0.001 (0.010) Loss 1.8171 (1.8012) Prec@1 60.156 (59.161) Prec@5 78.906 (80.875) Epoch: [37][3460/10010] Time 0.330 (0.347) Data 0.001 (0.010) Loss 1.8182 (1.8013) Prec@1 61.719 (59.157) Prec@5 80.469 (80.876) Epoch: [37][3470/10010] Time 0.330 (0.347) Data 0.001 (0.010) Loss 1.8578 (1.8015) Prec@1 60.156 (59.156) Prec@5 80.469 (80.873) Epoch: [37][3480/10010] Time 0.324 (0.347) Data 0.000 (0.010) Loss 1.5306 (1.8016) Prec@1 62.500 (59.157) Prec@5 82.812 (80.871) Epoch: [37][3490/10010] Time 0.335 (0.347) Data 0.001 (0.010) Loss 1.6884 (1.8016) Prec@1 60.156 (59.150) Prec@5 81.250 (80.874) Epoch: [37][3500/10010] Time 0.325 (0.347) Data 0.001 (0.010) Loss 1.8570 (1.8016) Prec@1 55.469 (59.149) Prec@5 79.688 (80.873) Epoch: [37][3510/10010] Time 0.337 (0.347) Data 0.001 (0.010) Loss 1.9453 (1.8018) Prec@1 56.250 (59.143) Prec@5 76.562 (80.870) Epoch: [37][3520/10010] Time 0.335 (0.347) Data 0.000 (0.010) Loss 2.0884 (1.8022) Prec@1 52.344 (59.135) Prec@5 78.125 (80.863) Epoch: [37][3530/10010] Time 0.319 (0.347) Data 0.001 (0.010) Loss 1.9369 (1.8024) Prec@1 55.469 (59.134) Prec@5 78.906 (80.856) Epoch: [37][3540/10010] Time 0.321 (0.347) Data 0.000 (0.010) Loss 2.0993 (1.8024) Prec@1 51.562 (59.131) Prec@5 76.562 (80.857) Epoch: [37][3550/10010] Time 0.329 (0.347) Data 0.000 (0.010) Loss 1.5809 (1.8023) Prec@1 64.844 (59.136) Prec@5 86.719 (80.860) Epoch: [37][3560/10010] Time 0.338 (0.347) Data 0.001 (0.010) Loss 1.7506 (1.8023) Prec@1 57.812 (59.136) Prec@5 82.812 (80.861) Epoch: [37][3570/10010] Time 0.328 (0.347) Data 0.001 (0.010) Loss 1.5219 (1.8021) Prec@1 63.281 (59.141) Prec@5 85.938 (80.863) Epoch: [37][3580/10010] Time 0.333 (0.347) Data 0.001 (0.010) Loss 1.7538 (1.8020) Prec@1 56.250 (59.140) Prec@5 83.594 (80.865) Epoch: [37][3590/10010] Time 0.330 (0.347) Data 0.000 (0.010) Loss 1.7432 (1.8019) Prec@1 60.156 (59.137) Prec@5 83.594 (80.867) Epoch: [37][3600/10010] Time 0.338 (0.347) Data 0.000 (0.010) Loss 1.8424 (1.8022) Prec@1 60.938 (59.133) Prec@5 78.906 (80.864) Epoch: [37][3610/10010] Time 0.330 (0.347) Data 0.000 (0.010) Loss 1.9532 (1.8020) Prec@1 54.688 (59.138) Prec@5 82.031 (80.869) Epoch: [37][3620/10010] Time 0.335 (0.346) Data 0.001 (0.010) Loss 1.5550 (1.8021) Prec@1 61.719 (59.134) Prec@5 81.250 (80.864) Epoch: [37][3630/10010] Time 0.339 (0.346) Data 0.000 (0.010) Loss 1.6089 (1.8021) Prec@1 61.719 (59.135) Prec@5 81.250 (80.865) Epoch: [37][3640/10010] Time 0.342 (0.346) Data 0.000 (0.010) Loss 1.8470 (1.8021) Prec@1 59.375 (59.135) Prec@5 79.688 (80.864) Epoch: [37][3650/10010] Time 0.336 (0.346) Data 0.001 (0.010) Loss 2.1287 (1.8024) Prec@1 56.250 (59.130) Prec@5 75.000 (80.857) Epoch: [37][3660/10010] Time 0.336 (0.346) Data 0.001 (0.010) Loss 2.2223 (1.8022) Prec@1 50.000 (59.131) Prec@5 74.219 (80.859) Epoch: [37][3670/10010] Time 0.325 (0.346) Data 0.001 (0.010) Loss 1.8896 (1.8020) Prec@1 55.469 (59.132) Prec@5 81.250 (80.861) Epoch: [37][3680/10010] Time 0.317 (0.346) Data 0.001 (0.010) Loss 1.6870 (1.8019) Prec@1 57.812 (59.128) Prec@5 84.375 (80.864) Epoch: [37][3690/10010] Time 0.324 (0.346) Data 0.001 (0.010) Loss 1.8194 (1.8020) Prec@1 54.688 (59.127) Prec@5 76.562 (80.861) Epoch: [37][3700/10010] Time 0.319 (0.346) Data 0.000 (0.010) Loss 1.7611 (1.8021) Prec@1 58.594 (59.127) Prec@5 86.719 (80.862) Epoch: [37][3710/10010] Time 0.318 (0.346) Data 0.000 (0.010) Loss 1.9043 (1.8021) Prec@1 58.594 (59.126) Prec@5 79.688 (80.861) /data/vision/torralba/deepscene/lib/anaconda2/lib/python2.7/site-packages/PIL/TiffImagePlugin.py:692: UserWarning: Possibly corrupt EXIF data. Expecting to read 2555904 bytes but only got 0. Skipping tag 0 "Skipping tag %s" % (size, len(data), tag)) Epoch: [37][3720/10010] Time 0.332 (0.346) Data 0.001 (0.010) Loss 1.7344 (1.8023) Prec@1 60.156 (59.125) Prec@5 80.469 (80.857) Epoch: [37][3730/10010] Time 0.318 (0.346) Data 0.001 (0.010) Loss 1.8206 (1.8024) Prec@1 51.562 (59.121) Prec@5 81.250 (80.854) Epoch: [37][3740/10010] Time 0.322 (0.346) Data 0.001 (0.010) Loss 1.8454 (1.8025) Prec@1 56.250 (59.116) Prec@5 82.812 (80.854) Epoch: [37][3750/10010] Time 0.327 (0.346) Data 0.000 (0.010) Loss 1.9219 (1.8025) Prec@1 61.719 (59.117) Prec@5 78.125 (80.852) Epoch: [37][3760/10010] Time 0.320 (0.346) Data 0.001 (0.010) Loss 1.6117 (1.8027) Prec@1 70.312 (59.119) Prec@5 87.500 (80.851) Epoch: [37][3770/10010] Time 0.311 (0.346) Data 0.001 (0.010) Loss 1.7386 (1.8027) Prec@1 57.812 (59.116) Prec@5 81.250 (80.854) Epoch: [37][3780/10010] Time 0.318 (0.346) Data 0.001 (0.010) Loss 1.5083 (1.8026) Prec@1 66.406 (59.121) Prec@5 87.500 (80.856) Epoch: [37][3790/10010] Time 0.318 (0.345) Data 0.001 (0.010) Loss 1.9423 (1.8023) Prec@1 60.156 (59.127) Prec@5 78.906 (80.858) Epoch: [37][3800/10010] Time 0.326 (0.345) Data 0.001 (0.010) Loss 1.7079 (1.8022) Prec@1 63.281 (59.130) Prec@5 87.500 (80.861) Epoch: [37][3810/10010] Time 0.316 (0.345) Data 0.001 (0.009) Loss 2.1713 (1.8024) Prec@1 55.469 (59.128) Prec@5 74.219 (80.857) Epoch: [37][3820/10010] Time 0.320 (0.345) Data 0.001 (0.009) Loss 1.5038 (1.8022) Prec@1 64.062 (59.128) Prec@5 84.375 (80.860) Epoch: [37][3830/10010] Time 0.325 (0.345) Data 0.001 (0.009) Loss 1.5699 (1.8021) Prec@1 62.500 (59.127) Prec@5 85.938 (80.861) /data/vision/torralba/deepscene/lib/anaconda2/lib/python2.7/site-packages/PIL/TiffImagePlugin.py:692: UserWarning: Possibly corrupt EXIF data. Expecting to read 19660800 bytes but only got 0. Skipping tag 0 "Skipping tag %s" % (size, len(data), tag)) /data/vision/torralba/deepscene/lib/anaconda2/lib/python2.7/site-packages/PIL/TiffImagePlugin.py:692: UserWarning: Possibly corrupt EXIF data. Expecting to read 18481152 bytes but only got 0. Skipping tag 0 "Skipping tag %s" % (size, len(data), tag)) /data/vision/torralba/deepscene/lib/anaconda2/lib/python2.7/site-packages/PIL/TiffImagePlugin.py:692: UserWarning: Possibly corrupt EXIF data. Expecting to read 37093376 bytes but only got 0. Skipping tag 0 "Skipping tag %s" % (size, len(data), tag)) /data/vision/torralba/deepscene/lib/anaconda2/lib/python2.7/site-packages/PIL/TiffImagePlugin.py:692: UserWarning: Possibly corrupt EXIF data. Expecting to read 39976960 bytes but only got 0. Skipping tag 0 "Skipping tag %s" % (size, len(data), tag)) /data/vision/torralba/deepscene/lib/anaconda2/lib/python2.7/site-packages/PIL/TiffImagePlugin.py:692: UserWarning: Possibly corrupt EXIF data. Expecting to read 34865152 bytes but only got 0. Skipping tag 0 "Skipping tag %s" % (size, len(data), tag)) /data/vision/torralba/deepscene/lib/anaconda2/lib/python2.7/site-packages/PIL/TiffImagePlugin.py:709: UserWarning: Corrupt EXIF data. Expecting to read 12 bytes but only got 10. warnings.warn(str(msg)) Epoch: [37][3840/10010] Time 0.322 (0.345) Data 0.001 (0.009) Loss 1.5209 (1.8018) Prec@1 61.719 (59.130) Prec@5 87.500 (80.864) Epoch: [37][3850/10010] Time 0.338 (0.345) Data 0.000 (0.009) Loss 1.9784 (1.8020) Prec@1 55.469 (59.128) Prec@5 78.906 (80.862) Epoch: [37][3860/10010] Time 0.316 (0.345) Data 0.001 (0.009) Loss 1.6869 (1.8021) Prec@1 60.938 (59.125) Prec@5 82.812 (80.863) Epoch: [37][3870/10010] Time 0.330 (0.345) Data 0.001 (0.009) Loss 1.6896 (1.8023) Prec@1 60.156 (59.121) Prec@5 82.812 (80.865) Epoch: [37][3880/10010] Time 0.334 (0.345) Data 0.001 (0.009) Loss 1.8160 (1.8024) Prec@1 67.969 (59.124) Prec@5 78.906 (80.862) Epoch: [37][3890/10010] Time 0.323 (0.345) Data 0.001 (0.009) Loss 2.1128 (1.8027) Prec@1 51.562 (59.116) Prec@5 76.562 (80.858) Epoch: [37][3900/10010] Time 0.314 (0.345) Data 0.001 (0.009) Loss 1.8047 (1.8027) Prec@1 56.250 (59.115) Prec@5 77.344 (80.858) Epoch: [37][3910/10010] Time 0.319 (0.345) Data 0.001 (0.009) Loss 1.8937 (1.8028) Prec@1 54.688 (59.113) Prec@5 80.469 (80.857) Epoch: [37][3920/10010] Time 0.321 (0.345) Data 0.001 (0.009) Loss 1.8496 (1.8024) Prec@1 60.156 (59.119) Prec@5 80.469 (80.864) Epoch: [37][3930/10010] Time 0.321 (0.345) Data 0.001 (0.009) Loss 1.4627 (1.8024) Prec@1 65.625 (59.118) Prec@5 85.156 (80.865) Epoch: [37][3940/10010] Time 0.332 (0.345) Data 0.001 (0.009) Loss 1.7622 (1.8024) Prec@1 52.344 (59.115) Prec@5 84.375 (80.866) Epoch: [37][3950/10010] Time 0.326 (0.345) Data 0.001 (0.009) Loss 2.0125 (1.8027) Prec@1 57.031 (59.110) Prec@5 78.125 (80.862) Epoch: [37][3960/10010] Time 0.327 (0.345) Data 0.001 (0.009) Loss 2.0117 (1.8030) Prec@1 54.688 (59.104) Prec@5 78.906 (80.859) Epoch: [37][3970/10010] Time 0.323 (0.345) Data 0.001 (0.009) Loss 1.7915 (1.8029) Prec@1 55.469 (59.106) Prec@5 82.031 (80.856) Epoch: [37][3980/10010] Time 0.327 (0.345) Data 0.001 (0.009) Loss 1.8339 (1.8029) Prec@1 56.250 (59.104) Prec@5 80.469 (80.860) Epoch: [37][3990/10010] Time 0.341 (0.345) Data 0.000 (0.009) Loss 1.6513 (1.8029) Prec@1 61.719 (59.102) Prec@5 85.938 (80.860) Epoch: [37][4000/10010] Time 0.336 (0.344) Data 0.001 (0.009) Loss 2.0953 (1.8031) Prec@1 57.812 (59.097) Prec@5 74.219 (80.855) Epoch: [37][4010/10010] Time 0.336 (0.344) Data 0.000 (0.009) Loss 1.9595 (1.8032) Prec@1 57.812 (59.094) Prec@5 78.125 (80.851) Epoch: [37][4020/10010] Time 0.324 (0.344) Data 0.001 (0.009) Loss 1.8308 (1.8034) Prec@1 57.812 (59.093) Prec@5 79.688 (80.848) Epoch: [37][4030/10010] Time 0.331 (0.344) Data 0.001 (0.009) Loss 1.9150 (1.8036) Prec@1 56.250 (59.090) Prec@5 77.344 (80.843) Epoch: [37][4040/10010] Time 0.337 (0.344) Data 0.001 (0.009) Loss 2.0133 (1.8035) Prec@1 57.031 (59.090) Prec@5 76.562 (80.846) Epoch: [37][4050/10010] Time 0.311 (0.344) Data 0.001 (0.009) Loss 1.7657 (1.8036) Prec@1 64.062 (59.093) Prec@5 79.688 (80.846) Epoch: [37][4060/10010] Time 0.341 (0.344) Data 0.000 (0.009) Loss 1.8289 (1.8036) Prec@1 60.938 (59.095) Prec@5 82.812 (80.844) Epoch: [37][4070/10010] Time 0.335 (0.344) Data 0.001 (0.009) Loss 1.9299 (1.8035) Prec@1 60.156 (59.094) Prec@5 77.344 (80.845) Epoch: [37][4080/10010] Time 0.319 (0.344) Data 0.001 (0.009) Loss 2.0773 (1.8035) Prec@1 54.688 (59.097) Prec@5 78.906 (80.844) Epoch: [37][4090/10010] Time 0.338 (0.344) Data 0.001 (0.009) Loss 1.6513 (1.8035) Prec@1 63.281 (59.097) Prec@5 82.031 (80.842) Epoch: [37][4100/10010] Time 0.315 (0.344) Data 0.000 (0.009) Loss 1.7125 (1.8037) Prec@1 61.719 (59.095) Prec@5 82.812 (80.839) Epoch: [37][4110/10010] Time 0.335 (0.344) Data 0.001 (0.009) Loss 2.2587 (1.8037) Prec@1 52.344 (59.094) Prec@5 75.000 (80.839) Epoch: [37][4120/10010] Time 0.328 (0.344) Data 0.001 (0.009) Loss 1.8670 (1.8039) Prec@1 58.594 (59.096) Prec@5 77.344 (80.838) Epoch: [37][4130/10010] Time 0.334 (0.344) Data 0.001 (0.009) Loss 2.0536 (1.8041) Prec@1 55.469 (59.094) Prec@5 75.781 (80.834) Epoch: [37][4140/10010] Time 0.325 (0.344) Data 0.001 (0.009) Loss 1.6723 (1.8042) Prec@1 62.500 (59.093) Prec@5 82.031 (80.834) Epoch: [37][4150/10010] Time 0.342 (0.344) Data 0.001 (0.009) Loss 2.1007 (1.8042) Prec@1 49.219 (59.094) Prec@5 80.469 (80.838) Epoch: [37][4160/10010] Time 0.324 (0.344) Data 0.001 (0.009) Loss 1.9232 (1.8042) Prec@1 57.031 (59.092) Prec@5 79.688 (80.838) Epoch: [37][4170/10010] Time 0.335 (0.344) Data 0.001 (0.009) Loss 1.6056 (1.8044) Prec@1 57.031 (59.087) Prec@5 86.719 (80.835) Epoch: [37][4180/10010] Time 0.321 (0.344) Data 0.001 (0.009) Loss 1.6448 (1.8045) Prec@1 64.844 (59.084) Prec@5 84.375 (80.832) Epoch: [37][4190/10010] Time 0.331 (0.344) Data 0.001 (0.009) Loss 1.9075 (1.8047) Prec@1 59.375 (59.083) Prec@5 77.344 (80.829) Epoch: [37][4200/10010] Time 0.344 (0.344) Data 0.000 (0.009) Loss 1.7180 (1.8050) Prec@1 59.375 (59.075) Prec@5 82.812 (80.825) Epoch: [37][4210/10010] Time 0.325 (0.344) Data 0.000 (0.009) Loss 1.6891 (1.8050) Prec@1 64.062 (59.077) Prec@5 79.688 (80.825) Epoch: [37][4220/10010] Time 0.338 (0.344) Data 0.000 (0.009) Loss 1.8612 (1.8050) Prec@1 53.125 (59.074) Prec@5 80.469 (80.825) Epoch: [37][4230/10010] Time 0.338 (0.344) Data 0.001 (0.009) Loss 1.8045 (1.8049) Prec@1 57.031 (59.074) Prec@5 77.344 (80.825) Epoch: [37][4240/10010] Time 0.319 (0.344) Data 0.001 (0.009) Loss 1.5725 (1.8051) Prec@1 62.500 (59.071) Prec@5 80.469 (80.822) Epoch: [37][4250/10010] Time 0.337 (0.344) Data 0.001 (0.009) Loss 2.0718 (1.8052) Prec@1 51.562 (59.067) Prec@5 75.000 (80.821) Epoch: [37][4260/10010] Time 0.335 (0.344) Data 0.001 (0.009) Loss 1.8365 (1.8052) Prec@1 58.594 (59.064) Prec@5 81.250 (80.820) Epoch: [37][4270/10010] Time 0.341 (0.344) Data 0.001 (0.009) Loss 1.9217 (1.8054) Prec@1 54.688 (59.061) Prec@5 80.469 (80.820) Epoch: [37][4280/10010] Time 0.318 (0.343) Data 0.000 (0.009) Loss 1.8025 (1.8052) Prec@1 60.938 (59.068) Prec@5 78.906 (80.824) Epoch: [37][4290/10010] Time 0.336 (0.343) Data 0.001 (0.008) Loss 1.9964 (1.8051) Prec@1 57.031 (59.070) Prec@5 81.250 (80.826) Epoch: [37][4300/10010] Time 0.337 (0.343) Data 0.000 (0.008) Loss 1.9428 (1.8049) Prec@1 62.500 (59.073) Prec@5 76.562 (80.828) Epoch: [37][4310/10010] Time 0.339 (0.343) Data 0.001 (0.008) Loss 1.7450 (1.8047) Prec@1 62.500 (59.074) Prec@5 82.031 (80.829) Epoch: [37][4320/10010] Time 0.335 (0.343) Data 0.001 (0.008) Loss 1.7604 (1.8045) Prec@1 57.031 (59.075) Prec@5 81.250 (80.832) Epoch: [37][4330/10010] Time 0.331 (0.343) Data 0.001 (0.008) Loss 1.6979 (1.8045) Prec@1 58.594 (59.075) Prec@5 81.250 (80.830) Epoch: [37][4340/10010] Time 0.327 (0.343) Data 0.001 (0.008) Loss 1.9436 (1.8044) Prec@1 55.469 (59.078) Prec@5 79.688 (80.831) Epoch: [37][4350/10010] Time 0.340 (0.343) Data 0.001 (0.008) Loss 1.7958 (1.8046) Prec@1 63.281 (59.077) Prec@5 78.906 (80.824) Epoch: [37][4360/10010] Time 0.333 (0.343) Data 0.001 (0.008) Loss 1.7965 (1.8046) Prec@1 60.938 (59.077) Prec@5 78.906 (80.824) Epoch: [37][4370/10010] Time 0.325 (0.343) Data 0.001 (0.008) Loss 1.6328 (1.8045) Prec@1 62.500 (59.077) Prec@5 85.156 (80.826) Epoch: [37][4380/10010] Time 0.338 (0.343) Data 0.001 (0.008) Loss 1.9608 (1.8045) Prec@1 57.812 (59.078) Prec@5 76.562 (80.825) Epoch: [37][4390/10010] Time 0.313 (0.343) Data 0.001 (0.008) Loss 1.9394 (1.8045) Prec@1 60.156 (59.078) Prec@5 77.344 (80.827) Epoch: [37][4400/10010] Time 0.317 (0.343) Data 0.001 (0.008) Loss 1.7140 (1.8043) Prec@1 64.062 (59.081) Prec@5 80.469 (80.829) Epoch: [37][4410/10010] Time 0.330 (0.343) Data 0.000 (0.008) Loss 1.5627 (1.8045) Prec@1 66.406 (59.080) Prec@5 84.375 (80.826) Epoch: [37][4420/10010] Time 0.336 (0.343) Data 0.000 (0.008) Loss 1.8236 (1.8046) Prec@1 54.688 (59.074) Prec@5 80.469 (80.826) Epoch: [37][4430/10010] Time 0.328 (0.343) Data 0.000 (0.008) Loss 2.0041 (1.8046) Prec@1 53.125 (59.075) Prec@5 76.562 (80.826) Epoch: [37][4440/10010] Time 0.318 (0.346) Data 0.001 (0.008) Loss 1.7109 (1.8046) Prec@1 60.938 (59.076) Prec@5 77.344 (80.824) Epoch: [37][4450/10010] Time 0.308 (0.346) Data 0.000 (0.008) Loss 2.1478 (1.8047) Prec@1 55.469 (59.073) Prec@5 75.000 (80.823) Epoch: [37][4460/10010] Time 0.311 (0.346) Data 0.001 (0.008) Loss 1.8539 (1.8047) Prec@1 57.031 (59.074) Prec@5 77.344 (80.822) Epoch: [37][4470/10010] Time 0.316 (0.346) Data 0.000 (0.008) Loss 2.1361 (1.8049) Prec@1 57.812 (59.072) Prec@5 73.438 (80.818) Epoch: [37][4480/10010] Time 0.333 (0.346) Data 0.001 (0.008) Loss 1.6646 (1.8047) Prec@1 63.281 (59.073) Prec@5 85.938 (80.821) Epoch: [37][4490/10010] Time 0.317 (0.345) Data 0.001 (0.008) Loss 2.1954 (1.8047) Prec@1 55.469 (59.073) Prec@5 72.656 (80.821) Epoch: [37][4500/10010] Time 0.315 (0.345) Data 0.001 (0.008) Loss 1.9061 (1.8046) Prec@1 57.031 (59.073) Prec@5 77.344 (80.823) Epoch: [37][4510/10010] Time 0.313 (0.345) Data 0.001 (0.008) Loss 1.3491 (1.8044) Prec@1 71.094 (59.081) Prec@5 88.281 (80.825) Epoch: [37][4520/10010] Time 0.319 (0.345) Data 0.000 (0.008) Loss 1.8295 (1.8042) Prec@1 57.812 (59.087) Prec@5 79.688 (80.827) Epoch: [37][4530/10010] Time 0.341 (0.345) Data 0.001 (0.008) Loss 1.6694 (1.8043) Prec@1 63.281 (59.084) Prec@5 84.375 (80.827) Epoch: [37][4540/10010] Time 0.318 (0.345) Data 0.001 (0.008) Loss 2.2092 (1.8042) Prec@1 52.344 (59.088) Prec@5 75.000 (80.828) Epoch: [37][4550/10010] Time 0.318 (0.345) Data 0.001 (0.008) Loss 1.6165 (1.8041) Prec@1 66.406 (59.089) Prec@5 84.375 (80.829) Epoch: [37][4560/10010] Time 0.318 (0.345) Data 0.001 (0.008) Loss 1.9093 (1.8041) Prec@1 54.688 (59.088) Prec@5 77.344 (80.831) Epoch: [37][4570/10010] Time 0.331 (0.345) Data 0.001 (0.008) Loss 1.7474 (1.8042) Prec@1 58.594 (59.085) Prec@5 81.250 (80.832) Epoch: [37][4580/10010] Time 0.316 (0.345) Data 0.001 (0.008) Loss 1.9461 (1.8041) Prec@1 55.469 (59.083) Prec@5 78.125 (80.836) Epoch: [37][4590/10010] Time 0.331 (0.345) Data 0.001 (0.008) Loss 1.5075 (1.8038) Prec@1 64.844 (59.085) Prec@5 84.375 (80.842) Epoch: [37][4600/10010] Time 0.313 (0.345) Data 0.001 (0.008) Loss 1.9915 (1.8038) Prec@1 56.250 (59.086) Prec@5 76.562 (80.843) Epoch: [37][4610/10010] Time 0.320 (0.345) Data 0.000 (0.008) Loss 1.7059 (1.8039) Prec@1 59.375 (59.083) Prec@5 84.375 (80.840) Epoch: [37][4620/10010] Time 0.337 (0.345) Data 0.000 (0.008) Loss 2.0623 (1.8040) Prec@1 48.438 (59.081) Prec@5 78.906 (80.838) Epoch: [37][4630/10010] Time 0.327 (0.345) Data 0.001 (0.008) Loss 1.8560 (1.8041) Prec@1 56.250 (59.074) Prec@5 80.469 (80.838) Epoch: [37][4640/10010] Time 0.327 (0.345) Data 0.001 (0.008) Loss 1.7731 (1.8040) Prec@1 58.594 (59.073) Prec@5 80.469 (80.838) Epoch: [37][4650/10010] Time 0.342 (0.345) Data 0.000 (0.008) Loss 1.5930 (1.8040) Prec@1 59.375 (59.072) Prec@5 86.719 (80.841) Epoch: [37][4660/10010] Time 0.325 (0.345) Data 0.001 (0.008) Loss 1.8070 (1.8040) Prec@1 57.031 (59.072) Prec@5 81.250 (80.842) Epoch: [37][4670/10010] Time 0.315 (0.345) Data 0.001 (0.008) Loss 1.5862 (1.8039) Prec@1 60.156 (59.072) Prec@5 85.938 (80.843) Epoch: [37][4680/10010] Time 0.333 (0.345) Data 0.001 (0.008) Loss 1.6703 (1.8039) Prec@1 61.719 (59.074) Prec@5 79.688 (80.841) Epoch: [37][4690/10010] Time 0.327 (0.345) Data 0.001 (0.008) Loss 1.8117 (1.8041) Prec@1 60.156 (59.075) Prec@5 82.031 (80.840) Epoch: [37][4700/10010] Time 0.321 (0.345) Data 0.001 (0.008) Loss 1.5294 (1.8039) Prec@1 62.500 (59.081) Prec@5 87.500 (80.841) Epoch: [37][4710/10010] Time 0.323 (0.345) Data 0.000 (0.008) Loss 1.7415 (1.8038) Prec@1 62.500 (59.082) Prec@5 78.906 (80.842) Epoch: [37][4720/10010] Time 0.323 (0.344) Data 0.001 (0.008) Loss 1.7400 (1.8038) Prec@1 60.156 (59.083) Prec@5 81.250 (80.842) Epoch: [37][4730/10010] Time 0.340 (0.344) Data 0.001 (0.008) Loss 1.7477 (1.8036) Prec@1 54.688 (59.084) Prec@5 82.031 (80.843) Epoch: [37][4740/10010] Time 0.330 (0.344) Data 0.001 (0.008) Loss 2.0498 (1.8038) Prec@1 55.469 (59.080) Prec@5 76.562 (80.842) Epoch: [37][4750/10010] Time 0.318 (0.344) Data 0.001 (0.008) Loss 2.1264 (1.8038) Prec@1 50.000 (59.079) Prec@5 75.781 (80.841) Epoch: [37][4760/10010] Time 0.329 (0.344) Data 0.000 (0.008) Loss 1.8173 (1.8038) Prec@1 60.156 (59.078) Prec@5 80.469 (80.839) Epoch: [37][4770/10010] Time 0.315 (0.344) Data 0.001 (0.008) Loss 1.5500 (1.8036) Prec@1 62.500 (59.081) Prec@5 84.375 (80.841) Epoch: [37][4780/10010] Time 0.318 (0.344) Data 0.001 (0.008) Loss 1.7015 (1.8037) Prec@1 62.500 (59.080) Prec@5 82.812 (80.842) Epoch: [37][4790/10010] Time 0.308 (0.344) Data 0.001 (0.008) Loss 1.5198 (1.8034) Prec@1 60.156 (59.082) Prec@5 84.375 (80.845) Epoch: [37][4800/10010] Time 0.322 (0.344) Data 0.001 (0.008) Loss 1.9256 (1.8035) Prec@1 54.688 (59.077) Prec@5 79.688 (80.844) Epoch: [37][4810/10010] Time 0.323 (0.344) Data 0.000 (0.008) Loss 2.1036 (1.8036) Prec@1 53.125 (59.076) Prec@5 77.344 (80.845) Epoch: [37][4820/10010] Time 0.327 (0.344) Data 0.001 (0.008) Loss 1.8782 (1.8036) Prec@1 56.250 (59.071) Prec@5 78.125 (80.842) Epoch: [37][4830/10010] Time 0.321 (0.344) Data 0.001 (0.008) Loss 1.8274 (1.8036) Prec@1 53.906 (59.069) Prec@5 78.906 (80.842) Epoch: [37][4840/10010] Time 0.320 (0.344) Data 0.000 (0.008) Loss 1.8007 (1.8040) Prec@1 61.719 (59.062) Prec@5 83.594 (80.839) Epoch: [37][4850/10010] Time 0.325 (0.344) Data 0.001 (0.008) Loss 1.7648 (1.8040) Prec@1 60.156 (59.062) Prec@5 81.250 (80.840) Epoch: [37][4860/10010] Time 0.315 (0.344) Data 0.001 (0.008) Loss 1.8363 (1.8039) Prec@1 64.062 (59.062) Prec@5 82.031 (80.840) Epoch: [37][4870/10010] Time 0.318 (0.344) Data 0.001 (0.008) Loss 1.7215 (1.8039) Prec@1 57.812 (59.062) Prec@5 82.812 (80.839) Epoch: [37][4880/10010] Time 0.328 (0.344) Data 0.001 (0.008) Loss 1.7307 (1.8038) Prec@1 64.844 (59.064) Prec@5 82.031 (80.839) Epoch: [37][4890/10010] Time 0.327 (0.344) Data 0.001 (0.008) Loss 1.5590 (1.8036) Prec@1 64.062 (59.070) Prec@5 81.250 (80.842) Epoch: [37][4900/10010] Time 0.326 (0.344) Data 0.001 (0.008) Loss 1.5437 (1.8035) Prec@1 62.500 (59.071) Prec@5 88.281 (80.844) Epoch: [37][4910/10010] Time 0.334 (0.344) Data 0.001 (0.008) Loss 1.8105 (1.8034) Prec@1 59.375 (59.074) Prec@5 78.125 (80.844) Epoch: [37][4920/10010] Time 0.338 (0.344) Data 0.001 (0.007) Loss 1.9221 (1.8034) Prec@1 60.938 (59.074) Prec@5 78.125 (80.844) Epoch: [37][4930/10010] Time 0.338 (0.344) Data 0.001 (0.007) Loss 1.8293 (1.8037) Prec@1 56.250 (59.066) Prec@5 82.031 (80.842) Epoch: [37][4940/10010] Time 0.325 (0.344) Data 0.001 (0.007) Loss 1.8863 (1.8037) Prec@1 54.688 (59.065) Prec@5 81.250 (80.842) Epoch: [37][4950/10010] Time 0.339 (0.344) Data 0.000 (0.007) Loss 1.8297 (1.8037) Prec@1 59.375 (59.065) Prec@5 79.688 (80.841) Epoch: [37][4960/10010] Time 0.334 (0.344) Data 0.001 (0.007) Loss 2.1393 (1.8037) Prec@1 50.000 (59.066) Prec@5 75.781 (80.842) Epoch: [37][4970/10010] Time 0.342 (0.344) Data 0.000 (0.007) Loss 1.9744 (1.8037) Prec@1 60.938 (59.066) Prec@5 77.344 (80.839) Epoch: [37][4980/10010] Time 0.339 (0.344) Data 0.001 (0.007) Loss 1.6629 (1.8038) Prec@1 57.812 (59.066) Prec@5 81.250 (80.836) Epoch: [37][4990/10010] Time 0.314 (0.344) Data 0.001 (0.007) Loss 1.8898 (1.8040) Prec@1 57.031 (59.065) Prec@5 77.344 (80.834) Epoch: [37][5000/10010] Time 0.341 (0.344) Data 0.001 (0.007) Loss 1.6038 (1.8040) Prec@1 64.844 (59.066) Prec@5 84.375 (80.834) Epoch: [37][5010/10010] Time 0.315 (0.344) Data 0.001 (0.007) Loss 1.8163 (1.8041) Prec@1 58.594 (59.064) Prec@5 81.250 (80.832) Epoch: [37][5020/10010] Time 0.335 (0.343) Data 0.001 (0.007) Loss 2.0830 (1.8041) Prec@1 50.000 (59.062) Prec@5 77.344 (80.835) Epoch: [37][5030/10010] Time 0.336 (0.343) Data 0.001 (0.007) Loss 1.6056 (1.8040) Prec@1 65.625 (59.064) Prec@5 82.812 (80.836) Epoch: [37][5040/10010] Time 0.329 (0.343) Data 0.001 (0.007) Loss 1.6307 (1.8040) Prec@1 60.156 (59.064) Prec@5 85.156 (80.838) Epoch: [37][5050/10010] Time 0.317 (0.343) Data 0.001 (0.007) Loss 1.8558 (1.8040) Prec@1 55.469 (59.063) Prec@5 80.469 (80.838) Epoch: [37][5060/10010] Time 0.341 (0.343) Data 0.001 (0.007) Loss 1.7549 (1.8041) Prec@1 64.844 (59.060) Prec@5 82.812 (80.835) Epoch: [37][5070/10010] Time 0.339 (0.343) Data 0.001 (0.007) Loss 1.7940 (1.8042) Prec@1 60.938 (59.059) Prec@5 82.031 (80.834) Epoch: [37][5080/10010] Time 0.317 (0.343) Data 0.001 (0.007) Loss 1.7589 (1.8042) Prec@1 58.594 (59.057) Prec@5 78.125 (80.835) Epoch: [37][5090/10010] Time 0.335 (0.343) Data 0.001 (0.007) Loss 2.1787 (1.8044) Prec@1 48.438 (59.051) Prec@5 71.875 (80.831) Epoch: [37][5100/10010] Time 0.321 (0.343) Data 0.001 (0.007) Loss 1.7457 (1.8043) Prec@1 60.938 (59.057) Prec@5 81.250 (80.832) Epoch: [37][5110/10010] Time 0.340 (0.343) Data 0.001 (0.007) Loss 1.6994 (1.8042) Prec@1 60.156 (59.058) Prec@5 82.031 (80.833) Epoch: [37][5120/10010] Time 0.316 (0.343) Data 0.001 (0.007) Loss 1.8895 (1.8044) Prec@1 53.125 (59.050) Prec@5 79.688 (80.830) Epoch: [37][5130/10010] Time 0.323 (0.343) Data 0.001 (0.007) Loss 1.9876 (1.8044) Prec@1 59.375 (59.050) Prec@5 76.562 (80.830) Epoch: [37][5140/10010] Time 0.339 (0.343) Data 0.001 (0.007) Loss 1.9176 (1.8047) Prec@1 54.688 (59.046) Prec@5 82.031 (80.828) Epoch: [37][5150/10010] Time 0.344 (0.343) Data 0.001 (0.007) Loss 1.5674 (1.8047) Prec@1 60.938 (59.046) Prec@5 85.156 (80.825) Epoch: [37][5160/10010] Time 0.333 (0.343) Data 0.001 (0.007) Loss 1.9588 (1.8049) Prec@1 57.812 (59.042) Prec@5 77.344 (80.822) Epoch: [37][5170/10010] Time 0.340 (0.343) Data 0.000 (0.007) Loss 1.7212 (1.8049) Prec@1 63.281 (59.042) Prec@5 82.031 (80.821) Epoch: [37][5180/10010] Time 0.329 (0.343) Data 0.001 (0.007) Loss 2.0279 (1.8050) Prec@1 50.781 (59.039) Prec@5 78.906 (80.819) Epoch: [37][5190/10010] Time 0.339 (0.343) Data 0.001 (0.007) Loss 1.7884 (1.8053) Prec@1 60.938 (59.036) Prec@5 80.469 (80.815) Epoch: [37][5200/10010] Time 0.316 (0.343) Data 0.001 (0.007) Loss 1.7157 (1.8054) Prec@1 66.406 (59.032) Prec@5 85.938 (80.813) Epoch: [37][5210/10010] Time 0.311 (0.343) Data 0.001 (0.007) Loss 2.0050 (1.8055) Prec@1 48.438 (59.029) Prec@5 78.125 (80.811) Epoch: [37][5220/10010] Time 0.342 (0.343) Data 0.001 (0.007) Loss 1.9714 (1.8055) Prec@1 55.469 (59.030) Prec@5 78.906 (80.811) Epoch: [37][5230/10010] Time 0.331 (0.343) Data 0.001 (0.007) Loss 1.8236 (1.8056) Prec@1 59.375 (59.029) Prec@5 79.688 (80.807) Epoch: [37][5240/10010] Time 0.334 (0.343) Data 0.001 (0.007) Loss 1.9709 (1.8058) Prec@1 60.156 (59.022) Prec@5 78.906 (80.807) Epoch: [37][5250/10010] Time 0.318 (0.343) Data 0.000 (0.007) Loss 1.8945 (1.8061) Prec@1 57.812 (59.017) Prec@5 78.906 (80.801) Epoch: [37][5260/10010] Time 0.342 (0.343) Data 0.001 (0.007) Loss 1.5775 (1.8060) Prec@1 64.062 (59.020) Prec@5 85.156 (80.800) Epoch: [37][5270/10010] Time 0.320 (0.343) Data 0.000 (0.007) Loss 1.6842 (1.8060) Prec@1 60.938 (59.020) Prec@5 80.469 (80.801) Epoch: [37][5280/10010] Time 0.316 (0.343) Data 0.001 (0.007) Loss 1.7921 (1.8061) Prec@1 57.812 (59.020) Prec@5 82.031 (80.801) Epoch: [37][5290/10010] Time 0.341 (0.343) Data 0.001 (0.007) Loss 1.9242 (1.8061) Prec@1 55.469 (59.017) Prec@5 78.906 (80.801) Epoch: [37][5300/10010] Time 0.316 (0.343) Data 0.001 (0.007) Loss 1.6425 (1.8060) Prec@1 60.938 (59.020) Prec@5 79.688 (80.801) Epoch: [37][5310/10010] Time 0.326 (0.343) Data 0.001 (0.007) Loss 1.9863 (1.8059) Prec@1 57.812 (59.018) Prec@5 78.125 (80.802) Epoch: [37][5320/10010] Time 0.332 (0.343) Data 0.001 (0.007) Loss 2.0784 (1.8059) Prec@1 50.000 (59.019) Prec@5 77.344 (80.802) Epoch: [37][5330/10010] Time 0.333 (0.343) Data 0.000 (0.007) Loss 1.5790 (1.8059) Prec@1 63.281 (59.018) Prec@5 83.594 (80.802) Epoch: [37][5340/10010] Time 0.339 (0.343) Data 0.000 (0.007) Loss 1.8593 (1.8060) Prec@1 59.375 (59.017) Prec@5 79.688 (80.799) Epoch: [37][5350/10010] Time 0.315 (0.343) Data 0.001 (0.007) Loss 1.3615 (1.8059) Prec@1 67.969 (59.019) Prec@5 92.969 (80.803) Epoch: [37][5360/10010] Time 0.322 (0.343) Data 0.001 (0.007) Loss 1.7699 (1.8060) Prec@1 60.938 (59.016) Prec@5 81.250 (80.803) Epoch: [37][5370/10010] Time 0.317 (0.343) Data 0.001 (0.007) Loss 1.9039 (1.8062) Prec@1 54.688 (59.014) Prec@5 78.125 (80.802) Epoch: [37][5380/10010] Time 0.337 (0.343) Data 0.001 (0.007) Loss 1.9291 (1.8065) Prec@1 58.594 (59.012) Prec@5 82.812 (80.797) Epoch: [37][5390/10010] Time 0.338 (0.342) Data 0.001 (0.007) Loss 1.8266 (1.8064) Prec@1 55.469 (59.014) Prec@5 81.250 (80.798) Epoch: [37][5400/10010] Time 0.339 (0.342) Data 0.001 (0.007) Loss 1.7791 (1.8064) Prec@1 57.812 (59.016) Prec@5 79.688 (80.797) Epoch: [37][5410/10010] Time 0.337 (0.342) Data 0.001 (0.007) Loss 1.8758 (1.8065) Prec@1 60.156 (59.015) Prec@5 78.125 (80.795) Epoch: [37][5420/10010] Time 0.317 (0.342) Data 0.001 (0.007) Loss 2.0501 (1.8065) Prec@1 57.031 (59.014) Prec@5 76.562 (80.793) Epoch: [37][5430/10010] Time 0.328 (0.342) Data 0.000 (0.007) Loss 2.1220 (1.8066) Prec@1 52.344 (59.013) Prec@5 71.875 (80.789) Epoch: [37][5440/10010] Time 0.338 (0.342) Data 0.001 (0.007) Loss 1.7078 (1.8068) Prec@1 60.938 (59.009) Prec@5 79.688 (80.784) Epoch: [37][5450/10010] Time 0.328 (0.342) Data 0.001 (0.007) Loss 1.6242 (1.8069) Prec@1 64.844 (59.008) Prec@5 86.719 (80.784) Epoch: [37][5460/10010] Time 0.338 (0.342) Data 0.001 (0.007) Loss 1.7859 (1.8067) Prec@1 62.500 (59.011) Prec@5 77.344 (80.784) Epoch: [37][5470/10010] Time 0.343 (0.342) Data 0.001 (0.007) Loss 2.1581 (1.8067) Prec@1 50.000 (59.007) Prec@5 73.438 (80.783) Epoch: [37][5480/10010] Time 0.327 (0.342) Data 0.000 (0.007) Loss 1.8268 (1.8069) Prec@1 60.156 (59.004) Prec@5 81.250 (80.779) Epoch: [37][5490/10010] Time 0.340 (0.342) Data 0.000 (0.007) Loss 1.5918 (1.8070) Prec@1 64.062 (58.998) Prec@5 84.375 (80.777) Epoch: [37][5500/10010] Time 0.318 (0.342) Data 0.001 (0.007) Loss 1.8236 (1.8072) Prec@1 60.156 (58.997) Prec@5 82.031 (80.775) Epoch: [37][5510/10010] Time 0.339 (0.342) Data 0.001 (0.007) Loss 1.5738 (1.8072) Prec@1 66.406 (58.997) Prec@5 82.812 (80.777) Epoch: [37][5520/10010] Time 0.316 (0.342) Data 0.000 (0.007) Loss 1.6632 (1.8072) Prec@1 57.031 (58.995) Prec@5 86.719 (80.775) Epoch: [37][5530/10010] Time 0.331 (0.342) Data 0.001 (0.007) Loss 1.5690 (1.8072) Prec@1 68.750 (58.995) Prec@5 82.812 (80.774) Epoch: [37][5540/10010] Time 0.314 (0.342) Data 0.000 (0.007) Loss 1.8211 (1.8073) Prec@1 54.688 (58.993) Prec@5 80.469 (80.774) Epoch: [37][5550/10010] Time 0.317 (0.342) Data 0.001 (0.007) Loss 1.9079 (1.8073) Prec@1 59.375 (58.994) Prec@5 81.250 (80.771) Epoch: [37][5560/10010] Time 0.342 (0.342) Data 0.001 (0.007) Loss 1.8430 (1.8073) Prec@1 54.688 (58.993) Prec@5 78.906 (80.771) Epoch: [37][5570/10010] Time 0.326 (0.342) Data 0.001 (0.007) Loss 1.7665 (1.8072) Prec@1 61.719 (58.997) Prec@5 80.469 (80.771) Epoch: [37][5580/10010] Time 0.322 (0.342) Data 0.000 (0.007) Loss 1.6036 (1.8073) Prec@1 64.844 (59.000) Prec@5 83.594 (80.771) Epoch: [37][5590/10010] Time 0.324 (0.342) Data 0.001 (0.007) Loss 1.8082 (1.8073) Prec@1 60.156 (59.001) Prec@5 83.594 (80.771) Epoch: [37][5600/10010] Time 0.320 (0.342) Data 0.001 (0.007) Loss 1.7089 (1.8074) Prec@1 64.062 (59.000) Prec@5 78.125 (80.767) Epoch: [37][5610/10010] Time 0.322 (0.342) Data 0.001 (0.007) Loss 1.9323 (1.8075) Prec@1 47.656 (58.996) Prec@5 84.375 (80.764) Epoch: [37][5620/10010] Time 0.321 (0.342) Data 0.000 (0.007) Loss 1.7562 (1.8076) Prec@1 62.500 (58.996) Prec@5 81.250 (80.765) Epoch: [37][5630/10010] Time 0.327 (0.342) Data 0.000 (0.007) Loss 1.5342 (1.8076) Prec@1 63.281 (58.996) Prec@5 84.375 (80.764) Epoch: [37][5640/10010] Time 0.318 (0.342) Data 0.001 (0.007) Loss 1.9158 (1.8077) Prec@1 57.812 (58.992) Prec@5 78.906 (80.762) Epoch: [37][5650/10010] Time 0.335 (0.342) Data 0.001 (0.007) Loss 1.9877 (1.8077) Prec@1 54.688 (58.992) Prec@5 78.125 (80.762) Epoch: [37][5660/10010] Time 0.323 (0.342) Data 0.001 (0.007) Loss 1.6882 (1.8077) Prec@1 64.062 (58.993) Prec@5 79.688 (80.759) Epoch: [37][5670/10010] Time 0.342 (0.342) Data 0.001 (0.007) Loss 1.9900 (1.8078) Prec@1 53.906 (58.994) Prec@5 75.000 (80.757) Epoch: [37][5680/10010] Time 0.319 (0.342) Data 0.001 (0.007) Loss 1.7213 (1.8077) Prec@1 61.719 (58.997) Prec@5 78.125 (80.758) Epoch: [37][5690/10010] Time 0.338 (0.342) Data 0.001 (0.007) Loss 1.8024 (1.8079) Prec@1 59.375 (58.991) Prec@5 80.469 (80.756) Epoch: [37][5700/10010] Time 0.331 (0.342) Data 0.001 (0.007) Loss 1.9362 (1.8079) Prec@1 58.594 (58.992) Prec@5 78.125 (80.757) Epoch: [37][5710/10010] Time 0.317 (0.342) Data 0.001 (0.007) Loss 1.7468 (1.8078) Prec@1 60.156 (58.994) Prec@5 83.594 (80.760) Epoch: [37][5720/10010] Time 0.331 (0.342) Data 0.001 (0.007) Loss 2.0048 (1.8079) Prec@1 55.469 (58.993) Prec@5 75.781 (80.758) Epoch: [37][5730/10010] Time 0.322 (0.342) Data 0.000 (0.007) Loss 1.6451 (1.8077) Prec@1 61.719 (58.995) Prec@5 82.812 (80.760) Epoch: [37][5740/10010] Time 0.312 (0.342) Data 0.000 (0.007) Loss 1.7366 (1.8077) Prec@1 58.594 (58.997) Prec@5 79.688 (80.760) Epoch: [37][5750/10010] Time 0.315 (0.342) Data 0.001 (0.007) Loss 1.9834 (1.8076) Prec@1 53.906 (59.000) Prec@5 74.219 (80.760) Epoch: [37][5760/10010] Time 0.324 (0.342) Data 0.000 (0.007) Loss 1.8204 (1.8076) Prec@1 53.125 (58.999) Prec@5 81.250 (80.761) Epoch: [37][5770/10010] Time 0.322 (0.342) Data 0.001 (0.006) Loss 2.1001 (1.8076) Prec@1 52.344 (58.999) Prec@5 75.000 (80.761) Epoch: [37][5780/10010] Time 0.311 (0.342) Data 0.001 (0.006) Loss 1.7929 (1.8076) Prec@1 57.031 (58.999) Prec@5 82.031 (80.761) Epoch: [37][5790/10010] Time 0.313 (0.341) Data 0.001 (0.006) Loss 2.0483 (1.8076) Prec@1 57.031 (58.999) Prec@5 77.344 (80.761) Epoch: [37][5800/10010] Time 0.316 (0.341) Data 0.001 (0.006) Loss 1.5884 (1.8077) Prec@1 60.156 (58.997) Prec@5 83.594 (80.761) Epoch: [37][5810/10010] Time 0.334 (0.341) Data 0.001 (0.006) Loss 1.7009 (1.8076) Prec@1 63.281 (59.001) Prec@5 82.031 (80.760) Epoch: [37][5820/10010] Time 0.315 (0.341) Data 0.001 (0.006) Loss 1.9510 (1.8076) Prec@1 61.719 (59.005) Prec@5 79.688 (80.762) Epoch: [37][5830/10010] Time 0.339 (0.341) Data 0.001 (0.006) Loss 1.8453 (1.8076) Prec@1 59.375 (59.006) Prec@5 77.344 (80.762) Epoch: [37][5840/10010] Time 0.341 (0.341) Data 0.000 (0.006) Loss 1.9799 (1.8077) Prec@1 55.469 (59.005) Prec@5 78.906 (80.761) Epoch: [37][5850/10010] Time 0.333 (0.341) Data 0.000 (0.006) Loss 1.8941 (1.8076) Prec@1 56.250 (59.006) Prec@5 75.781 (80.761) Epoch: [37][5860/10010] Time 0.335 (0.341) Data 0.001 (0.006) Loss 1.6236 (1.8075) Prec@1 66.406 (59.009) Prec@5 79.688 (80.762) Epoch: [37][5870/10010] Time 0.333 (0.341) Data 0.001 (0.006) Loss 1.6055 (1.8076) Prec@1 60.938 (59.008) Prec@5 82.031 (80.759) Epoch: [37][5880/10010] Time 0.333 (0.341) Data 0.001 (0.006) Loss 1.5555 (1.8076) Prec@1 57.812 (59.007) Prec@5 85.938 (80.761) Epoch: [37][5890/10010] Time 0.340 (0.341) Data 0.001 (0.006) Loss 1.7216 (1.8075) Prec@1 61.719 (59.007) Prec@5 82.031 (80.761) Epoch: [37][5900/10010] Time 0.319 (0.341) Data 0.001 (0.006) Loss 1.8179 (1.8077) Prec@1 53.906 (59.005) Prec@5 81.250 (80.761) Epoch: [37][5910/10010] Time 0.325 (0.341) Data 0.000 (0.006) Loss 1.4258 (1.8077) Prec@1 67.969 (59.006) Prec@5 86.719 (80.761) Epoch: [37][5920/10010] Time 0.321 (0.341) Data 0.001 (0.006) Loss 1.7934 (1.8077) Prec@1 58.594 (59.005) Prec@5 78.906 (80.761) Epoch: [37][5930/10010] Time 0.328 (0.341) Data 0.001 (0.006) Loss 1.8276 (1.8076) Prec@1 56.250 (59.005) Prec@5 80.469 (80.763) Epoch: [37][5940/10010] Time 0.328 (0.341) Data 0.001 (0.006) Loss 1.7602 (1.8078) Prec@1 60.156 (59.003) Prec@5 82.812 (80.761) Epoch: [37][5950/10010] Time 0.327 (0.341) Data 0.001 (0.006) Loss 1.8676 (1.8078) Prec@1 60.156 (59.002) Prec@5 81.250 (80.762) Epoch: [37][5960/10010] Time 0.333 (0.341) Data 0.001 (0.006) Loss 1.7942 (1.8075) Prec@1 59.375 (59.005) Prec@5 81.250 (80.766) Epoch: [37][5970/10010] Time 0.329 (0.341) Data 0.000 (0.006) Loss 1.6988 (1.8075) Prec@1 63.281 (59.007) Prec@5 81.250 (80.767) Epoch: [37][5980/10010] Time 0.339 (0.341) Data 0.000 (0.006) Loss 1.9477 (1.8077) Prec@1 51.562 (59.000) Prec@5 79.688 (80.764) Epoch: [37][5990/10010] Time 0.342 (0.341) Data 0.001 (0.006) Loss 2.1959 (1.8078) Prec@1 50.781 (58.999) Prec@5 76.562 (80.762) Epoch: [37][6000/10010] Time 0.320 (0.341) Data 0.001 (0.006) Loss 1.6660 (1.8077) Prec@1 66.406 (59.001) Prec@5 82.031 (80.761) Epoch: [37][6010/10010] Time 0.332 (0.341) Data 0.000 (0.006) Loss 1.7942 (1.8078) Prec@1 55.469 (58.999) Prec@5 85.938 (80.761) Epoch: [37][6020/10010] Time 0.318 (0.341) Data 0.001 (0.006) Loss 1.8082 (1.8079) Prec@1 62.500 (58.998) Prec@5 79.688 (80.760) Epoch: [37][6030/10010] Time 0.341 (0.341) Data 0.000 (0.006) Loss 1.6003 (1.8079) Prec@1 63.281 (58.998) Prec@5 85.938 (80.760) Epoch: [37][6040/10010] Time 0.313 (0.341) Data 0.001 (0.006) Loss 1.8291 (1.8080) Prec@1 63.281 (58.996) Prec@5 79.688 (80.760) Epoch: [37][6050/10010] Time 0.337 (0.341) Data 0.000 (0.006) Loss 1.8984 (1.8081) Prec@1 57.031 (58.994) Prec@5 81.250 (80.759) Epoch: [37][6060/10010] Time 0.313 (0.341) Data 0.000 (0.006) Loss 1.5752 (1.8082) Prec@1 63.281 (58.994) Prec@5 82.812 (80.759) Epoch: [37][6070/10010] Time 0.341 (0.341) Data 0.001 (0.006) Loss 1.9280 (1.8082) Prec@1 50.000 (58.992) Prec@5 80.469 (80.758) Epoch: [37][6080/10010] Time 0.326 (0.341) Data 0.001 (0.006) Loss 1.5570 (1.8081) Prec@1 64.844 (58.990) Prec@5 84.375 (80.760) Epoch: [37][6090/10010] Time 0.341 (0.341) Data 0.000 (0.006) Loss 1.5815 (1.8082) Prec@1 58.594 (58.988) Prec@5 85.156 (80.758) Epoch: [37][6100/10010] Time 0.332 (0.341) Data 0.001 (0.006) Loss 2.3140 (1.8083) Prec@1 55.469 (58.987) Prec@5 75.000 (80.756) Epoch: [37][6110/10010] Time 0.318 (0.341) Data 0.001 (0.006) Loss 2.0677 (1.8083) Prec@1 53.125 (58.989) Prec@5 77.344 (80.756) Epoch: [37][6120/10010] Time 0.327 (0.341) Data 0.001 (0.006) Loss 1.8435 (1.8083) Prec@1 53.906 (58.986) Prec@5 78.125 (80.755) Epoch: [37][6130/10010] Time 0.322 (0.341) Data 0.001 (0.006) Loss 1.4869 (1.8084) Prec@1 67.188 (58.985) Prec@5 85.938 (80.753) Epoch: [37][6140/10010] Time 0.324 (0.341) Data 0.001 (0.006) Loss 2.0245 (1.8085) Prec@1 55.469 (58.985) Prec@5 78.125 (80.753) Epoch: [37][6150/10010] Time 0.324 (0.341) Data 0.001 (0.006) Loss 1.8254 (1.8085) Prec@1 60.938 (58.983) Prec@5 81.250 (80.754) Epoch: [37][6160/10010] Time 0.336 (0.341) Data 0.001 (0.006) Loss 2.1289 (1.8086) Prec@1 50.781 (58.981) Prec@5 75.781 (80.752) Epoch: [37][6170/10010] Time 0.318 (0.341) Data 0.001 (0.006) Loss 1.9053 (1.8088) Prec@1 57.031 (58.977) Prec@5 78.906 (80.751) Epoch: [37][6180/10010] Time 0.320 (0.341) Data 0.001 (0.006) Loss 1.7668 (1.8087) Prec@1 60.938 (58.979) Prec@5 79.688 (80.749) Epoch: [37][6190/10010] Time 0.330 (0.341) Data 0.001 (0.006) Loss 1.5721 (1.8089) Prec@1 65.625 (58.974) Prec@5 85.938 (80.746) Epoch: [37][6200/10010] Time 0.329 (0.341) Data 0.000 (0.006) Loss 1.7926 (1.8088) Prec@1 59.375 (58.975) Prec@5 78.906 (80.747) Epoch: [37][6210/10010] Time 0.335 (0.341) Data 0.001 (0.006) Loss 1.8532 (1.8090) Prec@1 57.812 (58.973) Prec@5 81.250 (80.744) Epoch: [37][6220/10010] Time 0.338 (0.340) Data 0.000 (0.006) Loss 1.9093 (1.8090) Prec@1 56.250 (58.973) Prec@5 80.469 (80.744) Epoch: [37][6230/10010] Time 0.342 (0.340) Data 0.001 (0.006) Loss 1.9767 (1.8089) Prec@1 56.250 (58.976) Prec@5 74.219 (80.742) Epoch: [37][6240/10010] Time 0.328 (0.340) Data 0.001 (0.006) Loss 1.9426 (1.8090) Prec@1 59.375 (58.974) Prec@5 77.344 (80.742) Epoch: [37][6250/10010] Time 0.343 (0.340) Data 0.001 (0.006) Loss 1.4789 (1.8089) Prec@1 67.188 (58.976) Prec@5 85.938 (80.742) Epoch: [37][6260/10010] Time 0.322 (0.340) Data 0.001 (0.006) Loss 1.9716 (1.8091) Prec@1 57.031 (58.975) Prec@5 79.688 (80.742) Epoch: [37][6270/10010] Time 0.331 (0.340) Data 0.001 (0.006) Loss 1.8860 (1.8090) Prec@1 61.719 (58.978) Prec@5 77.344 (80.741) Epoch: [37][6280/10010] Time 0.332 (0.340) Data 0.001 (0.006) Loss 1.9418 (1.8091) Prec@1 56.250 (58.978) Prec@5 80.469 (80.739) Epoch: [37][6290/10010] Time 0.321 (0.340) Data 0.001 (0.006) Loss 1.8997 (1.8092) Prec@1 58.594 (58.978) Prec@5 79.688 (80.738) Epoch: [37][6300/10010] Time 0.319 (0.340) Data 0.001 (0.006) Loss 1.5407 (1.8092) Prec@1 62.500 (58.977) Prec@5 85.156 (80.737) Epoch: [37][6310/10010] Time 0.323 (0.340) Data 0.001 (0.006) Loss 2.0335 (1.8092) Prec@1 53.125 (58.976) Prec@5 79.688 (80.736) Epoch: [37][6320/10010] Time 0.327 (0.340) Data 0.001 (0.006) Loss 1.7908 (1.8095) Prec@1 60.938 (58.973) Prec@5 81.250 (80.733) Epoch: [37][6330/10010] Time 0.328 (0.340) Data 0.001 (0.006) Loss 1.8516 (1.8096) Prec@1 61.719 (58.971) Prec@5 77.344 (80.729) Epoch: [37][6340/10010] Time 0.324 (0.340) Data 0.001 (0.006) Loss 1.9641 (1.8097) Prec@1 52.344 (58.969) Prec@5 75.000 (80.726) Epoch: [37][6350/10010] Time 0.336 (0.340) Data 0.001 (0.006) Loss 1.6113 (1.8097) Prec@1 65.625 (58.970) Prec@5 85.938 (80.728) Epoch: [37][6360/10010] Time 0.316 (0.340) Data 0.001 (0.006) Loss 1.6206 (1.8096) Prec@1 60.938 (58.970) Prec@5 85.938 (80.727) Epoch: [37][6370/10010] Time 0.329 (0.340) Data 0.000 (0.006) Loss 1.9446 (1.8097) Prec@1 55.469 (58.969) Prec@5 78.125 (80.725) Epoch: [37][6380/10010] Time 0.324 (0.340) Data 0.001 (0.006) Loss 1.8265 (1.8099) Prec@1 53.906 (58.964) Prec@5 81.250 (80.722) Epoch: [37][6390/10010] Time 0.342 (0.340) Data 0.001 (0.006) Loss 1.8598 (1.8099) Prec@1 57.812 (58.966) Prec@5 83.594 (80.723) Epoch: [37][6400/10010] Time 0.328 (0.340) Data 0.001 (0.006) Loss 1.8940 (1.8099) Prec@1 57.812 (58.966) Prec@5 80.469 (80.722) Epoch: [37][6410/10010] Time 0.315 (0.340) Data 0.001 (0.006) Loss 1.6927 (1.8098) Prec@1 60.156 (58.966) Prec@5 82.812 (80.724) Epoch: [37][6420/10010] Time 0.336 (0.340) Data 0.001 (0.006) Loss 1.6461 (1.8098) Prec@1 67.188 (58.966) Prec@5 80.469 (80.723) Epoch: [37][6430/10010] Time 0.324 (0.340) Data 0.001 (0.006) Loss 1.9608 (1.8099) Prec@1 60.938 (58.965) Prec@5 78.125 (80.722) Epoch: [37][6440/10010] Time 0.323 (0.340) Data 0.001 (0.006) Loss 1.9593 (1.8098) Prec@1 54.688 (58.967) Prec@5 80.469 (80.724) Epoch: [37][6450/10010] Time 0.339 (0.340) Data 0.001 (0.006) Loss 1.6626 (1.8100) Prec@1 69.531 (58.963) Prec@5 81.250 (80.720) Epoch: [37][6460/10010] Time 0.316 (0.340) Data 0.001 (0.006) Loss 1.4764 (1.8100) Prec@1 64.062 (58.964) Prec@5 89.062 (80.721) Epoch: [37][6470/10010] Time 0.338 (0.340) Data 0.001 (0.006) Loss 1.4482 (1.8098) Prec@1 63.281 (58.965) Prec@5 86.719 (80.723) Epoch: [37][6480/10010] Time 0.338 (0.340) Data 0.001 (0.006) Loss 1.7336 (1.8099) Prec@1 61.719 (58.965) Prec@5 83.594 (80.724) Epoch: [37][6490/10010] Time 0.314 (0.340) Data 0.000 (0.006) Loss 1.9511 (1.8100) Prec@1 61.719 (58.965) Prec@5 74.219 (80.723) Epoch: [37][6500/10010] Time 0.334 (0.340) Data 0.001 (0.006) Loss 1.9327 (1.8100) Prec@1 53.906 (58.961) Prec@5 75.781 (80.723) Epoch: [37][6510/10010] Time 0.337 (0.340) Data 0.001 (0.006) Loss 1.8780 (1.8101) Prec@1 55.469 (58.961) Prec@5 79.688 (80.720) Epoch: [37][6520/10010] Time 0.340 (0.340) Data 0.001 (0.006) Loss 1.8854 (1.8102) Prec@1 57.812 (58.960) Prec@5 78.906 (80.719) Epoch: [37][6530/10010] Time 0.319 (0.340) Data 0.001 (0.006) Loss 1.4590 (1.8100) Prec@1 65.625 (58.961) Prec@5 82.812 (80.722) Epoch: [37][6540/10010] Time 0.339 (0.340) Data 0.001 (0.006) Loss 1.7866 (1.8101) Prec@1 58.594 (58.962) Prec@5 81.250 (80.721) Epoch: [37][6550/10010] Time 0.341 (0.340) Data 0.001 (0.006) Loss 1.9787 (1.8099) Prec@1 54.688 (58.963) Prec@5 78.125 (80.722) Epoch: [37][6560/10010] Time 0.318 (0.340) Data 0.001 (0.006) Loss 2.1415 (1.8100) Prec@1 46.094 (58.960) Prec@5 73.438 (80.721) Epoch: [37][6570/10010] Time 0.322 (0.340) Data 0.000 (0.006) Loss 1.7276 (1.8098) Prec@1 57.812 (58.963) Prec@5 82.812 (80.724) Epoch: [37][6580/10010] Time 0.341 (0.340) Data 0.001 (0.006) Loss 1.5971 (1.8096) Prec@1 58.594 (58.967) Prec@5 82.812 (80.729) Epoch: [37][6590/10010] Time 0.338 (0.340) Data 0.001 (0.006) Loss 1.8210 (1.8099) Prec@1 60.156 (58.959) Prec@5 77.344 (80.727) Epoch: [37][6600/10010] Time 0.325 (0.340) Data 0.001 (0.006) Loss 1.7450 (1.8099) Prec@1 60.156 (58.958) Prec@5 78.125 (80.725) Epoch: [37][6610/10010] Time 0.340 (0.340) Data 0.001 (0.006) Loss 1.7314 (1.8099) Prec@1 57.812 (58.957) Prec@5 82.031 (80.725) Epoch: [37][6620/10010] Time 0.333 (0.340) Data 0.001 (0.006) Loss 1.7004 (1.8098) Prec@1 61.719 (58.959) Prec@5 85.156 (80.728) Epoch: [37][6630/10010] Time 0.322 (0.340) Data 0.001 (0.006) Loss 2.2389 (1.8099) Prec@1 52.344 (58.958) Prec@5 74.219 (80.728) Epoch: [37][6640/10010] Time 0.334 (0.340) Data 0.001 (0.006) Loss 1.8288 (1.8101) Prec@1 60.156 (58.952) Prec@5 81.250 (80.725) Epoch: [37][6650/10010] Time 0.332 (0.340) Data 0.001 (0.006) Loss 2.1216 (1.8101) Prec@1 54.688 (58.955) Prec@5 75.000 (80.724) Epoch: [37][6660/10010] Time 0.328 (0.340) Data 0.001 (0.006) Loss 1.6587 (1.8100) Prec@1 60.156 (58.955) Prec@5 82.812 (80.725) Epoch: [37][6670/10010] Time 0.338 (0.340) Data 0.001 (0.006) Loss 1.5892 (1.8100) Prec@1 62.500 (58.957) Prec@5 85.938 (80.726) Epoch: [37][6680/10010] Time 0.324 (0.340) Data 0.001 (0.006) Loss 1.6431 (1.8100) Prec@1 64.062 (58.956) Prec@5 82.031 (80.725) Epoch: [37][6690/10010] Time 0.343 (0.340) Data 0.000 (0.006) Loss 1.6789 (1.8099) Prec@1 57.812 (58.958) Prec@5 79.688 (80.726) Epoch: [37][6700/10010] Time 0.324 (0.340) Data 0.000 (0.006) Loss 1.9629 (1.8101) Prec@1 55.469 (58.956) Prec@5 77.344 (80.723) Epoch: [37][6710/10010] Time 0.324 (0.340) Data 0.001 (0.006) Loss 1.8800 (1.8101) Prec@1 53.125 (58.955) Prec@5 82.031 (80.722) Epoch: [37][6720/10010] Time 0.338 (0.340) Data 0.000 (0.006) Loss 1.9203 (1.8102) Prec@1 60.938 (58.954) Prec@5 79.688 (80.721) Epoch: [37][6730/10010] Time 0.338 (0.340) Data 0.000 (0.006) Loss 2.0163 (1.8100) Prec@1 53.125 (58.957) Prec@5 77.344 (80.723) Epoch: [37][6740/10010] Time 0.322 (0.340) Data 0.001 (0.006) Loss 2.2849 (1.8101) Prec@1 49.219 (58.955) Prec@5 76.562 (80.721) Epoch: [37][6750/10010] Time 0.342 (0.340) Data 0.001 (0.006) Loss 1.7858 (1.8102) Prec@1 58.594 (58.953) Prec@5 79.688 (80.721) Epoch: [37][6760/10010] Time 0.320 (0.340) Data 0.000 (0.006) Loss 1.6793 (1.8103) Prec@1 60.938 (58.952) Prec@5 84.375 (80.721) Epoch: [37][6770/10010] Time 0.336 (0.340) Data 0.000 (0.006) Loss 1.6851 (1.8102) Prec@1 60.938 (58.955) Prec@5 83.594 (80.723) Epoch: [37][6780/10010] Time 0.337 (0.340) Data 0.001 (0.006) Loss 1.8831 (1.8103) Prec@1 57.812 (58.953) Prec@5 82.031 (80.721) Epoch: [37][6790/10010] Time 0.340 (0.340) Data 0.001 (0.006) Loss 2.1166 (1.8103) Prec@1 57.812 (58.955) Prec@5 74.219 (80.719) Epoch: [37][6800/10010] Time 0.312 (0.339) Data 0.001 (0.006) Loss 2.2016 (1.8102) Prec@1 53.906 (58.956) Prec@5 70.312 (80.719) Epoch: [37][6810/10010] Time 0.335 (0.339) Data 0.001 (0.006) Loss 1.8293 (1.8105) Prec@1 58.594 (58.952) Prec@5 79.688 (80.715) Epoch: [37][6820/10010] Time 0.329 (0.339) Data 0.001 (0.006) Loss 1.8623 (1.8105) Prec@1 61.719 (58.951) Prec@5 79.688 (80.716) Epoch: [37][6830/10010] Time 0.316 (0.339) Data 0.001 (0.006) Loss 1.9825 (1.8105) Prec@1 54.688 (58.951) Prec@5 75.781 (80.714) Epoch: [37][6840/10010] Time 0.337 (0.339) Data 0.000 (0.006) Loss 1.7320 (1.8104) Prec@1 57.812 (58.952) Prec@5 82.031 (80.714) Epoch: [37][6850/10010] Time 0.338 (0.339) Data 0.000 (0.006) Loss 1.7265 (1.8105) Prec@1 58.594 (58.950) Prec@5 78.906 (80.714) Epoch: [37][6860/10010] Time 0.312 (0.339) Data 0.001 (0.006) Loss 1.8973 (1.8104) Prec@1 55.469 (58.952) Prec@5 77.344 (80.716) Epoch: [37][6870/10010] Time 0.339 (0.339) Data 0.001 (0.006) Loss 1.7358 (1.8105) Prec@1 64.062 (58.951) Prec@5 80.469 (80.712) Epoch: [37][6880/10010] Time 0.322 (0.339) Data 0.001 (0.006) Loss 1.5815 (1.8105) Prec@1 62.500 (58.950) Prec@5 82.031 (80.713) Epoch: [37][6890/10010] Time 0.322 (0.339) Data 0.001 (0.006) Loss 1.6733 (1.8105) Prec@1 57.031 (58.949) Prec@5 82.812 (80.714) Epoch: [37][6900/10010] Time 0.321 (0.339) Data 0.001 (0.006) Loss 1.6363 (1.8105) Prec@1 65.625 (58.948) Prec@5 82.812 (80.714) Epoch: [37][6910/10010] Time 0.320 (0.339) Data 0.001 (0.006) Loss 1.6199 (1.8104) Prec@1 62.500 (58.950) Prec@5 84.375 (80.714) Epoch: [37][6920/10010] Time 0.335 (0.339) Data 0.000 (0.006) Loss 1.5945 (1.8104) Prec@1 61.719 (58.948) Prec@5 83.594 (80.711) Epoch: [37][6930/10010] Time 0.316 (0.339) Data 0.001 (0.006) Loss 1.8891 (1.8105) Prec@1 61.719 (58.948) Prec@5 78.906 (80.709) Epoch: [37][6940/10010] Time 0.338 (0.339) Data 0.001 (0.006) Loss 1.6811 (1.8105) Prec@1 60.156 (58.950) Prec@5 81.250 (80.710) Epoch: [37][6950/10010] Time 0.324 (0.339) Data 0.001 (0.006) Loss 1.6303 (1.8103) Prec@1 58.594 (58.951) Prec@5 84.375 (80.712) Epoch: [37][6960/10010] Time 0.320 (0.339) Data 0.001 (0.006) Loss 1.7590 (1.8104) Prec@1 57.812 (58.950) Prec@5 84.375 (80.710) Epoch: [37][6970/10010] Time 0.335 (0.339) Data 0.000 (0.005) Loss 1.7386 (1.8104) Prec@1 57.812 (58.948) Prec@5 80.469 (80.708) Epoch: [37][6980/10010] Time 0.318 (0.339) Data 0.001 (0.005) Loss 1.7072 (1.8105) Prec@1 62.500 (58.948) Prec@5 80.469 (80.707) Epoch: [37][6990/10010] Time 0.326 (0.339) Data 0.001 (0.005) Loss 1.8122 (1.8106) Prec@1 58.594 (58.946) Prec@5 82.031 (80.705) Epoch: [37][7000/10010] Time 0.331 (0.339) Data 0.001 (0.005) Loss 1.4163 (1.8105) Prec@1 67.969 (58.948) Prec@5 85.938 (80.706) Epoch: [37][7010/10010] Time 0.342 (0.339) Data 0.000 (0.005) Loss 1.8708 (1.8103) Prec@1 55.469 (58.951) Prec@5 80.469 (80.709) Epoch: [37][7020/10010] Time 0.335 (0.339) Data 0.001 (0.005) Loss 1.5177 (1.8102) Prec@1 62.500 (58.951) Prec@5 84.375 (80.710) Epoch: [37][7030/10010] Time 0.317 (0.339) Data 0.001 (0.005) Loss 1.6574 (1.8104) Prec@1 62.500 (58.948) Prec@5 82.812 (80.708) Epoch: [37][7040/10010] Time 0.328 (0.339) Data 0.000 (0.005) Loss 1.9814 (1.8103) Prec@1 51.562 (58.951) Prec@5 80.469 (80.708) Epoch: [37][7050/10010] Time 0.323 (0.339) Data 0.000 (0.005) Loss 1.7791 (1.8103) Prec@1 59.375 (58.950) Prec@5 79.688 (80.709) Epoch: [37][7060/10010] Time 0.339 (0.339) Data 0.001 (0.005) Loss 1.6091 (1.8102) Prec@1 64.062 (58.951) Prec@5 82.031 (80.709) Epoch: [37][7070/10010] Time 0.337 (0.339) Data 0.001 (0.005) Loss 2.1223 (1.8103) Prec@1 55.469 (58.948) Prec@5 76.562 (80.708) Epoch: [37][7080/10010] Time 0.319 (0.339) Data 0.001 (0.005) Loss 1.7877 (1.8103) Prec@1 57.812 (58.949) Prec@5 81.250 (80.708) Epoch: [37][7090/10010] Time 0.327 (0.339) Data 0.001 (0.005) Loss 1.7116 (1.8104) Prec@1 60.938 (58.949) Prec@5 84.375 (80.706) Epoch: [37][7100/10010] Time 0.333 (0.339) Data 0.001 (0.005) Loss 1.8566 (1.8104) Prec@1 55.469 (58.946) Prec@5 82.031 (80.706) Epoch: [37][7110/10010] Time 0.318 (0.339) Data 0.001 (0.005) Loss 1.5756 (1.8102) Prec@1 59.375 (58.949) Prec@5 86.719 (80.708) Epoch: [37][7120/10010] Time 0.324 (0.339) Data 0.000 (0.005) Loss 2.1291 (1.8103) Prec@1 56.250 (58.949) Prec@5 75.781 (80.706) Epoch: [37][7130/10010] Time 0.317 (0.339) Data 0.000 (0.005) Loss 1.6317 (1.8104) Prec@1 64.062 (58.948) Prec@5 82.812 (80.706) Epoch: [37][7140/10010] Time 0.325 (0.339) Data 0.001 (0.005) Loss 1.5330 (1.8104) Prec@1 60.156 (58.948) Prec@5 85.156 (80.703) Epoch: [37][7150/10010] Time 0.318 (0.339) Data 0.001 (0.005) Loss 1.4745 (1.8103) Prec@1 65.625 (58.947) Prec@5 86.719 (80.706) Epoch: [37][7160/10010] Time 0.325 (0.339) Data 0.000 (0.005) Loss 1.8649 (1.8104) Prec@1 60.938 (58.948) Prec@5 79.688 (80.705) Epoch: [37][7170/10010] Time 0.319 (0.339) Data 0.001 (0.005) Loss 2.0635 (1.8103) Prec@1 60.156 (58.951) Prec@5 78.125 (80.707) Epoch: [37][7180/10010] Time 0.319 (0.339) Data 0.001 (0.005) Loss 1.8730 (1.8102) Prec@1 55.469 (58.954) Prec@5 79.688 (80.707) Epoch: [37][7190/10010] Time 0.335 (0.339) Data 0.001 (0.005) Loss 2.1083 (1.8102) Prec@1 51.562 (58.954) Prec@5 75.781 (80.709) Epoch: [37][7200/10010] Time 0.317 (0.339) Data 0.000 (0.005) Loss 1.7996 (1.8102) Prec@1 58.594 (58.953) Prec@5 83.594 (80.708) Epoch: [37][7210/10010] Time 0.312 (0.339) Data 0.001 (0.005) Loss 1.6518 (1.8103) Prec@1 62.500 (58.953) Prec@5 82.031 (80.706) Epoch: [37][7220/10010] Time 0.339 (0.339) Data 0.001 (0.005) Loss 1.7089 (1.8103) Prec@1 60.938 (58.953) Prec@5 81.250 (80.707) Epoch: [37][7230/10010] Time 0.336 (0.339) Data 0.001 (0.005) Loss 1.8162 (1.8104) Prec@1 63.281 (58.950) Prec@5 81.250 (80.705) Epoch: [37][7240/10010] Time 0.322 (0.339) Data 0.000 (0.005) Loss 1.6990 (1.8104) Prec@1 52.344 (58.949) Prec@5 82.812 (80.704) Epoch: [37][7250/10010] Time 0.337 (0.339) Data 0.000 (0.005) Loss 1.7713 (1.8106) Prec@1 53.125 (58.946) Prec@5 81.250 (80.703) Epoch: [37][7260/10010] Time 0.323 (0.339) Data 0.001 (0.005) Loss 1.8410 (1.8106) Prec@1 59.375 (58.944) Prec@5 80.469 (80.703) Epoch: [37][7270/10010] Time 0.325 (0.339) Data 0.001 (0.005) Loss 2.0575 (1.8106) Prec@1 54.688 (58.942) Prec@5 77.344 (80.704) Epoch: [37][7280/10010] Time 0.339 (0.339) Data 0.001 (0.005) Loss 1.9291 (1.8106) Prec@1 61.719 (58.941) Prec@5 78.906 (80.704) Epoch: [37][7290/10010] Time 0.322 (0.339) Data 0.001 (0.005) Loss 1.9840 (1.8106) Prec@1 52.344 (58.942) Prec@5 78.906 (80.703) /data/vision/torralba/deepscene/lib/anaconda2/lib/python2.7/site-packages/PIL/TiffImagePlugin.py:709: UserWarning: Corrupt EXIF data. Expecting to read 4 bytes but only got 0. warnings.warn(str(msg)) Epoch: [37][7300/10010] Time 0.331 (0.339) Data 0.001 (0.005) Loss 1.8729 (1.8107) Prec@1 57.031 (58.937) Prec@5 81.250 (80.700) Epoch: [37][7310/10010] Time 0.327 (0.339) Data 0.001 (0.005) Loss 1.9607 (1.8107) Prec@1 56.250 (58.938) Prec@5 80.469 (80.700) Epoch: [37][7320/10010] Time 0.314 (0.339) Data 0.001 (0.005) Loss 1.8840 (1.8107) Prec@1 62.500 (58.937) Prec@5 78.906 (80.699) Epoch: [37][7330/10010] Time 0.339 (0.339) Data 0.001 (0.005) Loss 1.7904 (1.8108) Prec@1 56.250 (58.934) Prec@5 78.125 (80.698) Epoch: [37][7340/10010] Time 0.321 (0.339) Data 0.001 (0.005) Loss 1.5610 (1.8108) Prec@1 59.375 (58.934) Prec@5 84.375 (80.700) Epoch: [37][7350/10010] Time 0.324 (0.339) Data 0.001 (0.005) Loss 1.4419 (1.8107) Prec@1 66.406 (58.935) Prec@5 85.156 (80.701) Epoch: [37][7360/10010] Time 0.317 (0.339) Data 0.001 (0.005) Loss 1.9773 (1.8108) Prec@1 54.688 (58.934) Prec@5 77.344 (80.701) Epoch: [37][7370/10010] Time 0.315 (0.338) Data 0.001 (0.005) Loss 1.7341 (1.8108) Prec@1 60.938 (58.934) Prec@5 82.812 (80.701) Epoch: [37][7380/10010] Time 0.336 (0.338) Data 0.001 (0.005) Loss 2.1120 (1.8108) Prec@1 56.250 (58.933) Prec@5 76.562 (80.701) Epoch: [37][7390/10010] Time 0.337 (0.338) Data 0.001 (0.005) Loss 1.6480 (1.8109) Prec@1 57.031 (58.931) Prec@5 83.594 (80.700) Epoch: [37][7400/10010] Time 0.335 (0.338) Data 0.001 (0.005) Loss 1.4681 (1.8109) Prec@1 58.594 (58.929) Prec@5 88.281 (80.700) Epoch: [37][7410/10010] Time 0.336 (0.338) Data 0.000 (0.005) Loss 1.7749 (1.8110) Prec@1 59.375 (58.929) Prec@5 85.938 (80.699) Epoch: [37][7420/10010] Time 0.310 (0.338) Data 0.001 (0.005) Loss 1.7339 (1.8109) Prec@1 60.938 (58.931) Prec@5 82.812 (80.701) Epoch: [37][7430/10010] Time 0.324 (0.338) Data 0.001 (0.005) Loss 1.9619 (1.8110) Prec@1 60.156 (58.929) Prec@5 75.781 (80.699) Epoch: [37][7440/10010] Time 0.314 (0.338) Data 0.001 (0.005) Loss 1.9548 (1.8111) Prec@1 53.906 (58.926) Prec@5 76.562 (80.696) Epoch: [37][7450/10010] Time 0.323 (0.338) Data 0.001 (0.005) Loss 2.2521 (1.8111) Prec@1 52.344 (58.924) Prec@5 75.000 (80.697) Epoch: [37][7460/10010] Time 0.316 (0.338) Data 0.001 (0.005) Loss 1.9015 (1.8112) Prec@1 60.156 (58.923) Prec@5 81.250 (80.695) Epoch: [37][7470/10010] Time 0.322 (0.338) Data 0.000 (0.005) Loss 1.6068 (1.8113) Prec@1 64.062 (58.921) Prec@5 84.375 (80.692) Epoch: [37][7480/10010] Time 0.337 (0.338) Data 0.001 (0.005) Loss 1.8740 (1.8115) Prec@1 59.375 (58.918) Prec@5 78.906 (80.691) Epoch: [37][7490/10010] Time 0.331 (0.338) Data 0.001 (0.005) Loss 1.7158 (1.8116) Prec@1 61.719 (58.916) Prec@5 82.812 (80.692) Epoch: [37][7500/10010] Time 0.338 (0.338) Data 0.001 (0.005) Loss 2.0502 (1.8115) Prec@1 53.906 (58.918) Prec@5 76.562 (80.692) Epoch: [37][7510/10010] Time 0.325 (0.338) Data 0.001 (0.005) Loss 1.6364 (1.8115) Prec@1 60.938 (58.918) Prec@5 83.594 (80.691) Epoch: [37][7520/10010] Time 0.333 (0.338) Data 0.000 (0.005) Loss 1.7085 (1.8116) Prec@1 61.719 (58.916) Prec@5 82.031 (80.690) Epoch: [37][7530/10010] Time 0.336 (0.338) Data 0.001 (0.005) Loss 1.8823 (1.8117) Prec@1 56.250 (58.914) Prec@5 80.469 (80.691) Epoch: [37][7540/10010] Time 0.318 (0.338) Data 0.001 (0.005) Loss 1.8606 (1.8117) Prec@1 55.469 (58.915) Prec@5 78.125 (80.690) Epoch: [37][7550/10010] Time 0.314 (0.338) Data 0.001 (0.005) Loss 1.8932 (1.8116) Prec@1 57.812 (58.917) Prec@5 79.688 (80.690) Epoch: [37][7560/10010] Time 0.339 (0.338) Data 0.001 (0.005) Loss 1.6464 (1.8115) Prec@1 61.719 (58.918) Prec@5 83.594 (80.690) Epoch: [37][7570/10010] Time 0.333 (0.338) Data 0.001 (0.005) Loss 1.8021 (1.8116) Prec@1 58.594 (58.918) Prec@5 78.906 (80.688) Epoch: [37][7580/10010] Time 0.318 (0.338) Data 0.001 (0.005) Loss 2.1312 (1.8115) Prec@1 53.906 (58.919) Prec@5 78.125 (80.690) Epoch: [37][7590/10010] Time 0.333 (0.338) Data 0.001 (0.005) Loss 2.1672 (1.8115) Prec@1 51.562 (58.919) Prec@5 73.438 (80.690) Epoch: [37][7600/10010] Time 0.319 (0.338) Data 0.000 (0.005) Loss 2.2518 (1.8116) Prec@1 52.344 (58.921) Prec@5 75.000 (80.690) Epoch: [37][7610/10010] Time 0.324 (0.338) Data 0.001 (0.005) Loss 1.5535 (1.8116) Prec@1 67.969 (58.921) Prec@5 85.156 (80.691) Epoch: [37][7620/10010] Time 0.340 (0.338) Data 0.000 (0.005) Loss 1.9008 (1.8116) Prec@1 56.250 (58.922) Prec@5 78.906 (80.692) Epoch: [37][7630/10010] Time 0.326 (0.338) Data 0.001 (0.005) Loss 1.5077 (1.8116) Prec@1 64.844 (58.921) Prec@5 85.938 (80.691) Epoch: [37][7640/10010] Time 0.340 (0.338) Data 0.001 (0.005) Loss 2.2379 (1.8118) Prec@1 51.562 (58.916) Prec@5 71.094 (80.689) Epoch: [37][7650/10010] Time 0.321 (0.338) Data 0.001 (0.005) Loss 1.6259 (1.8117) Prec@1 58.594 (58.917) Prec@5 82.812 (80.689) Epoch: [37][7660/10010] Time 0.334 (0.338) Data 0.001 (0.005) Loss 2.2390 (1.8118) Prec@1 51.562 (58.915) Prec@5 70.312 (80.687) Epoch: [37][7670/10010] Time 0.320 (0.338) Data 0.000 (0.005) Loss 1.8695 (1.8118) Prec@1 53.906 (58.914) Prec@5 80.469 (80.687) Epoch: [37][7680/10010] Time 0.331 (0.338) Data 0.001 (0.005) Loss 1.9071 (1.8118) Prec@1 60.938 (58.916) Prec@5 77.344 (80.687) Epoch: [37][7690/10010] Time 0.319 (0.338) Data 0.001 (0.005) Loss 1.9043 (1.8119) Prec@1 56.250 (58.916) Prec@5 80.469 (80.687) Epoch: [37][7700/10010] Time 0.337 (0.338) Data 0.001 (0.005) Loss 1.6687 (1.8118) Prec@1 61.719 (58.917) Prec@5 80.469 (80.687) Epoch: [37][7710/10010] Time 0.339 (0.338) Data 0.000 (0.005) Loss 1.8112 (1.8117) Prec@1 53.906 (58.918) Prec@5 83.594 (80.690) Epoch: [37][7720/10010] Time 0.333 (0.338) Data 0.000 (0.005) Loss 1.6062 (1.8116) Prec@1 59.375 (58.921) Prec@5 80.469 (80.689) Epoch: [37][7730/10010] Time 0.336 (0.338) Data 0.001 (0.005) Loss 1.7217 (1.8115) Prec@1 60.938 (58.921) Prec@5 82.031 (80.691) Epoch: [37][7740/10010] Time 0.332 (0.338) Data 0.001 (0.005) Loss 1.8095 (1.8115) Prec@1 58.594 (58.921) Prec@5 80.469 (80.691) Epoch: [37][7750/10010] Time 0.317 (0.338) Data 0.001 (0.005) Loss 1.9884 (1.8115) Prec@1 59.375 (58.924) Prec@5 78.125 (80.692) Epoch: [37][7760/10010] Time 0.334 (0.338) Data 0.001 (0.005) Loss 2.1691 (1.8116) Prec@1 46.875 (58.921) Prec@5 78.125 (80.692) Epoch: [37][7770/10010] Time 0.339 (0.338) Data 0.001 (0.005) Loss 1.6616 (1.8115) Prec@1 62.500 (58.920) Prec@5 87.500 (80.693) Epoch: [37][7780/10010] Time 0.316 (0.338) Data 0.001 (0.005) Loss 2.0376 (1.8115) Prec@1 57.031 (58.919) Prec@5 76.562 (80.694) Epoch: [37][7790/10010] Time 0.343 (0.338) Data 0.000 (0.005) Loss 1.5928 (1.8115) Prec@1 66.406 (58.920) Prec@5 82.031 (80.694) Epoch: [37][7800/10010] Time 0.330 (0.338) Data 0.000 (0.005) Loss 1.4928 (1.8115) Prec@1 60.938 (58.921) Prec@5 83.594 (80.694) Epoch: [37][7810/10010] Time 0.332 (0.338) Data 0.001 (0.005) Loss 1.9138 (1.8116) Prec@1 57.031 (58.918) Prec@5 81.250 (80.693) Epoch: [37][7820/10010] Time 0.318 (0.338) Data 0.001 (0.005) Loss 1.8353 (1.8116) Prec@1 60.156 (58.919) Prec@5 78.125 (80.694) Epoch: [37][7830/10010] Time 0.341 (0.338) Data 0.001 (0.005) Loss 2.0482 (1.8117) Prec@1 57.031 (58.917) Prec@5 77.344 (80.690) Epoch: [37][7840/10010] Time 0.343 (0.338) Data 0.001 (0.005) Loss 1.8657 (1.8117) Prec@1 57.031 (58.916) Prec@5 76.562 (80.688) Epoch: [37][7850/10010] Time 0.335 (0.338) Data 0.001 (0.005) Loss 1.6696 (1.8117) Prec@1 61.719 (58.918) Prec@5 82.031 (80.689) Epoch: [37][7860/10010] Time 0.316 (0.338) Data 0.001 (0.005) Loss 1.6108 (1.8117) Prec@1 65.625 (58.918) Prec@5 81.250 (80.688) Epoch: [37][7870/10010] Time 0.332 (0.338) Data 0.001 (0.005) Loss 1.5273 (1.8116) Prec@1 66.406 (58.919) Prec@5 82.812 (80.690) Epoch: [37][7880/10010] Time 0.341 (0.338) Data 0.001 (0.005) Loss 1.9380 (1.8117) Prec@1 54.688 (58.917) Prec@5 78.906 (80.686) Epoch: [37][7890/10010] Time 0.332 (0.338) Data 0.001 (0.005) Loss 2.0175 (1.8118) Prec@1 53.125 (58.916) Prec@5 76.562 (80.684) Epoch: [37][7900/10010] Time 0.331 (0.338) Data 0.001 (0.005) Loss 1.8015 (1.8119) Prec@1 62.500 (58.912) Prec@5 78.125 (80.681) Epoch: [37][7910/10010] Time 0.319 (0.338) Data 0.000 (0.005) Loss 1.8642 (1.8118) Prec@1 57.031 (58.912) Prec@5 80.469 (80.681) Epoch: [37][7920/10010] Time 0.330 (0.338) Data 0.001 (0.005) Loss 1.7913 (1.8117) Prec@1 59.375 (58.914) Prec@5 85.156 (80.682) Epoch: [37][7930/10010] Time 0.338 (0.338) Data 0.001 (0.005) Loss 1.7392 (1.8116) Prec@1 59.375 (58.918) Prec@5 78.125 (80.683) Epoch: [37][7940/10010] Time 0.329 (0.338) Data 0.001 (0.005) Loss 1.6351 (1.8116) Prec@1 60.938 (58.920) Prec@5 84.375 (80.684) Epoch: [37][7950/10010] Time 0.322 (0.338) Data 0.001 (0.005) Loss 1.9703 (1.8116) Prec@1 61.719 (58.918) Prec@5 78.906 (80.683) Epoch: [37][7960/10010] Time 0.336 (0.338) Data 0.001 (0.005) Loss 2.0563 (1.8117) Prec@1 58.594 (58.918) Prec@5 75.781 (80.681) Epoch: [37][7970/10010] Time 0.311 (0.338) Data 0.001 (0.005) Loss 2.0315 (1.8118) Prec@1 48.438 (58.915) Prec@5 80.469 (80.679) Epoch: [37][7980/10010] Time 0.318 (0.338) Data 0.001 (0.005) Loss 1.7670 (1.8118) Prec@1 61.719 (58.914) Prec@5 80.469 (80.680) Epoch: [37][7990/10010] Time 0.336 (0.338) Data 0.000 (0.005) Loss 1.7264 (1.8118) Prec@1 61.719 (58.914) Prec@5 83.594 (80.679) Epoch: [37][8000/10010] Time 0.341 (0.338) Data 0.001 (0.005) Loss 2.4101 (1.8120) Prec@1 46.875 (58.911) Prec@5 72.656 (80.677) Epoch: [37][8010/10010] Time 0.324 (0.338) Data 0.001 (0.005) Loss 1.9099 (1.8121) Prec@1 57.812 (58.908) Prec@5 78.125 (80.675) Epoch: [37][8020/10010] Time 0.319 (0.338) Data 0.000 (0.005) Loss 1.6011 (1.8121) Prec@1 64.062 (58.907) Prec@5 85.156 (80.674) Epoch: [37][8030/10010] Time 0.340 (0.338) Data 0.000 (0.005) Loss 1.6477 (1.8122) Prec@1 59.375 (58.906) Prec@5 83.594 (80.674) Epoch: [37][8040/10010] Time 0.331 (0.338) Data 0.001 (0.005) Loss 1.6075 (1.8122) Prec@1 62.500 (58.904) Prec@5 85.156 (80.674) Epoch: [37][8050/10010] Time 0.343 (0.338) Data 0.001 (0.005) Loss 1.7942 (1.8123) Prec@1 57.031 (58.902) Prec@5 83.594 (80.674) Epoch: [37][8060/10010] Time 0.317 (0.338) Data 0.001 (0.005) Loss 1.7320 (1.8123) Prec@1 63.281 (58.902) Prec@5 82.812 (80.673) Epoch: [37][8070/10010] Time 0.326 (0.338) Data 0.001 (0.005) Loss 1.6020 (1.8123) Prec@1 58.594 (58.902) Prec@5 85.938 (80.676) Epoch: [37][8080/10010] Time 0.338 (0.338) Data 0.001 (0.005) Loss 1.5465 (1.8121) Prec@1 66.406 (58.903) Prec@5 82.812 (80.677) Epoch: [37][8090/10010] Time 0.324 (0.338) Data 0.000 (0.005) Loss 1.9653 (1.8122) Prec@1 55.469 (58.901) Prec@5 76.562 (80.676) Epoch: [37][8100/10010] Time 0.337 (0.338) Data 0.001 (0.005) Loss 1.8270 (1.8123) Prec@1 50.781 (58.899) Prec@5 83.594 (80.674) Epoch: [37][8110/10010] Time 0.329 (0.338) Data 0.000 (0.005) Loss 1.7754 (1.8122) Prec@1 57.812 (58.900) Prec@5 81.250 (80.674) Epoch: [37][8120/10010] Time 0.334 (0.338) Data 0.001 (0.005) Loss 1.7434 (1.8123) Prec@1 58.594 (58.901) Prec@5 78.125 (80.673) Epoch: [37][8130/10010] Time 0.331 (0.338) Data 0.001 (0.005) Loss 1.6968 (1.8124) Prec@1 59.375 (58.901) Prec@5 82.031 (80.672) Epoch: [37][8140/10010] Time 0.330 (0.338) Data 0.001 (0.005) Loss 1.8255 (1.8124) Prec@1 63.281 (58.902) Prec@5 80.469 (80.671) Epoch: [37][8150/10010] Time 0.312 (0.338) Data 0.001 (0.005) Loss 1.6324 (1.8125) Prec@1 63.281 (58.901) Prec@5 88.281 (80.671) Epoch: [37][8160/10010] Time 0.331 (0.338) Data 0.000 (0.005) Loss 1.6343 (1.8125) Prec@1 60.938 (58.902) Prec@5 83.594 (80.672) Epoch: [37][8170/10010] Time 0.340 (0.338) Data 0.000 (0.005) Loss 1.7810 (1.8124) Prec@1 60.156 (58.903) Prec@5 82.031 (80.674) Epoch: [37][8180/10010] Time 0.340 (0.338) Data 0.001 (0.005) Loss 1.7471 (1.8123) Prec@1 60.156 (58.904) Prec@5 82.031 (80.676) Epoch: [37][8190/10010] Time 0.333 (0.337) Data 0.000 (0.005) Loss 1.9788 (1.8123) Prec@1 57.812 (58.904) Prec@5 75.781 (80.677) Epoch: [37][8200/10010] Time 0.339 (0.337) Data 0.001 (0.005) Loss 1.6875 (1.8121) Prec@1 57.812 (58.906) Prec@5 78.906 (80.681) Epoch: [37][8210/10010] Time 0.338 (0.337) Data 0.001 (0.005) Loss 1.6447 (1.8122) Prec@1 60.156 (58.906) Prec@5 82.031 (80.680) Epoch: [37][8220/10010] Time 0.320 (0.337) Data 0.001 (0.005) Loss 1.9227 (1.8123) Prec@1 58.594 (58.901) Prec@5 84.375 (80.678) Epoch: [37][8230/10010] Time 0.326 (0.337) Data 0.001 (0.005) Loss 1.7756 (1.8124) Prec@1 58.594 (58.900) Prec@5 81.250 (80.678) Epoch: [37][8240/10010] Time 0.312 (0.337) Data 0.001 (0.005) Loss 1.8621 (1.8124) Prec@1 53.906 (58.898) Prec@5 83.594 (80.677) Epoch: [37][8250/10010] Time 0.319 (0.337) Data 0.001 (0.005) Loss 1.8379 (1.8126) Prec@1 53.125 (58.894) Prec@5 81.250 (80.676) Epoch: [37][8260/10010] Time 0.324 (0.337) Data 0.001 (0.005) Loss 1.8816 (1.8126) Prec@1 59.375 (58.895) Prec@5 82.031 (80.676) Epoch: [37][8270/10010] Time 0.333 (0.337) Data 0.001 (0.005) Loss 1.8615 (1.8125) Prec@1 57.031 (58.896) Prec@5 82.031 (80.679) Epoch: [37][8280/10010] Time 0.331 (0.337) Data 0.001 (0.005) Loss 1.5744 (1.8125) Prec@1 64.844 (58.896) Prec@5 84.375 (80.678) Epoch: [37][8290/10010] Time 0.336 (0.337) Data 0.001 (0.005) Loss 1.8121 (1.8125) Prec@1 63.281 (58.897) Prec@5 81.250 (80.678) Epoch: [37][8300/10010] Time 0.328 (0.337) Data 0.000 (0.005) Loss 1.4259 (1.8124) Prec@1 67.188 (58.899) Prec@5 86.719 (80.679) Epoch: [37][8310/10010] Time 0.335 (0.337) Data 0.001 (0.005) Loss 1.6069 (1.8124) Prec@1 59.375 (58.900) Prec@5 87.500 (80.679) Epoch: [37][8320/10010] Time 0.329 (0.337) Data 0.001 (0.005) Loss 1.7950 (1.8125) Prec@1 60.938 (58.899) Prec@5 78.906 (80.676) Epoch: [37][8330/10010] Time 0.324 (0.337) Data 0.001 (0.005) Loss 1.6780 (1.8126) Prec@1 63.281 (58.898) Prec@5 83.594 (80.676) Epoch: [37][8340/10010] Time 0.321 (0.337) Data 0.001 (0.005) Loss 1.8337 (1.8126) Prec@1 54.688 (58.897) Prec@5 78.906 (80.675) Epoch: [37][8350/10010] Time 0.319 (0.337) Data 0.001 (0.005) Loss 1.6999 (1.8125) Prec@1 59.375 (58.898) Prec@5 85.156 (80.678) Epoch: [37][8360/10010] Time 0.330 (0.337) Data 0.000 (0.005) Loss 1.8594 (1.8126) Prec@1 59.375 (58.897) Prec@5 75.781 (80.674) Epoch: [37][8370/10010] Time 0.338 (0.337) Data 0.001 (0.005) Loss 1.7521 (1.8126) Prec@1 58.594 (58.897) Prec@5 85.938 (80.674) Epoch: [37][8380/10010] Time 0.325 (0.337) Data 0.001 (0.005) Loss 1.8598 (1.8125) Prec@1 57.812 (58.899) Prec@5 82.031 (80.676) Epoch: [37][8390/10010] Time 0.324 (0.337) Data 0.001 (0.005) Loss 2.1558 (1.8126) Prec@1 53.125 (58.899) Prec@5 75.781 (80.674) Epoch: [37][8400/10010] Time 0.327 (0.337) Data 0.000 (0.005) Loss 1.7909 (1.8125) Prec@1 57.812 (58.900) Prec@5 78.906 (80.674) Epoch: [37][8410/10010] Time 0.329 (0.337) Data 0.000 (0.005) Loss 1.8692 (1.8125) Prec@1 60.156 (58.900) Prec@5 82.031 (80.674) Epoch: [37][8420/10010] Time 0.311 (0.337) Data 0.001 (0.005) Loss 2.0889 (1.8126) Prec@1 57.031 (58.900) Prec@5 78.906 (80.674) Epoch: [37][8430/10010] Time 0.336 (0.337) Data 0.001 (0.005) Loss 1.9949 (1.8127) Prec@1 51.562 (58.898) Prec@5 76.562 (80.673) Epoch: [37][8440/10010] Time 0.319 (0.337) Data 0.000 (0.005) Loss 1.9562 (1.8127) Prec@1 55.469 (58.897) Prec@5 78.906 (80.672) Epoch: [37][8450/10010] Time 0.331 (0.337) Data 0.001 (0.005) Loss 1.4354 (1.8127) Prec@1 66.406 (58.898) Prec@5 88.281 (80.673) Epoch: [37][8460/10010] Time 0.337 (0.337) Data 0.001 (0.005) Loss 1.6067 (1.8127) Prec@1 64.062 (58.900) Prec@5 86.719 (80.674) Epoch: [37][8470/10010] Time 0.319 (0.337) Data 0.001 (0.005) Loss 1.7637 (1.8127) Prec@1 57.812 (58.899) Prec@5 82.812 (80.674) Epoch: [37][8480/10010] Time 0.324 (0.337) Data 0.000 (0.005) Loss 1.9415 (1.8128) Prec@1 59.375 (58.898) Prec@5 79.688 (80.673) Epoch: [37][8490/10010] Time 0.326 (0.337) Data 0.001 (0.005) Loss 1.8977 (1.8129) Prec@1 59.375 (58.896) Prec@5 79.688 (80.672) Epoch: [37][8500/10010] Time 0.330 (0.337) Data 0.001 (0.005) Loss 2.0115 (1.8128) Prec@1 53.906 (58.895) Prec@5 77.344 (80.672) Epoch: [37][8510/10010] Time 0.338 (0.337) Data 0.001 (0.005) Loss 1.8195 (1.8127) Prec@1 59.375 (58.899) Prec@5 78.906 (80.672) Epoch: [37][8520/10010] Time 0.338 (0.337) Data 0.001 (0.005) Loss 1.8583 (1.8129) Prec@1 58.594 (58.895) Prec@5 77.344 (80.670) Epoch: [37][8530/10010] Time 0.310 (0.337) Data 0.001 (0.005) Loss 1.6974 (1.8128) Prec@1 58.594 (58.895) Prec@5 84.375 (80.671) Epoch: [37][8540/10010] Time 0.314 (0.337) Data 0.001 (0.005) Loss 2.0447 (1.8128) Prec@1 54.688 (58.896) Prec@5 78.125 (80.671) Epoch: [37][8550/10010] Time 0.337 (0.337) Data 0.001 (0.005) Loss 1.8786 (1.8129) Prec@1 60.156 (58.895) Prec@5 75.781 (80.670) Epoch: [37][8560/10010] Time 0.322 (0.337) Data 0.000 (0.005) Loss 1.6686 (1.8129) Prec@1 57.812 (58.894) Prec@5 82.031 (80.670) Epoch: [37][8570/10010] Time 0.331 (0.337) Data 0.001 (0.005) Loss 1.6875 (1.8129) Prec@1 64.844 (58.894) Prec@5 78.125 (80.668) Epoch: [37][8580/10010] Time 0.338 (0.337) Data 0.001 (0.005) Loss 1.8026 (1.8128) Prec@1 59.375 (58.895) Prec@5 79.688 (80.669) Epoch: [37][8590/10010] Time 0.325 (0.337) Data 0.001 (0.005) Loss 1.8324 (1.8128) Prec@1 60.938 (58.897) Prec@5 78.906 (80.669) Epoch: [37][8600/10010] Time 0.313 (0.337) Data 0.002 (0.005) Loss 1.3156 (1.8127) Prec@1 67.188 (58.901) Prec@5 87.500 (80.670) Epoch: [37][8610/10010] Time 0.319 (0.337) Data 0.001 (0.005) Loss 1.9886 (1.8127) Prec@1 56.250 (58.900) Prec@5 82.031 (80.670) Epoch: [37][8620/10010] Time 0.335 (0.337) Data 0.000 (0.005) Loss 1.8088 (1.8127) Prec@1 53.906 (58.900) Prec@5 80.469 (80.670) Epoch: [37][8630/10010] Time 0.333 (0.337) Data 0.001 (0.005) Loss 1.4309 (1.8126) Prec@1 67.969 (58.901) Prec@5 85.938 (80.671) Epoch: [37][8640/10010] Time 0.342 (0.337) Data 0.001 (0.005) Loss 2.0724 (1.8127) Prec@1 55.469 (58.900) Prec@5 78.125 (80.671) Epoch: [37][8650/10010] Time 0.314 (0.337) Data 0.001 (0.005) Loss 1.7166 (1.8126) Prec@1 62.500 (58.901) Prec@5 78.906 (80.671) Epoch: [37][8660/10010] Time 0.335 (0.337) Data 0.001 (0.005) Loss 1.8726 (1.8127) Prec@1 62.500 (58.897) Prec@5 80.469 (80.669) Epoch: [37][8670/10010] Time 0.319 (0.337) Data 0.000 (0.005) Loss 1.6320 (1.8127) Prec@1 61.719 (58.898) Prec@5 79.688 (80.670) Epoch: [37][8680/10010] Time 0.332 (0.337) Data 0.000 (0.005) Loss 1.9643 (1.8127) Prec@1 51.562 (58.895) Prec@5 77.344 (80.670) Epoch: [37][8690/10010] Time 0.337 (0.337) Data 0.000 (0.005) Loss 1.8671 (1.8128) Prec@1 55.469 (58.895) Prec@5 81.250 (80.669) Epoch: [37][8700/10010] Time 0.335 (0.337) Data 0.001 (0.005) Loss 1.7011 (1.8128) Prec@1 62.500 (58.895) Prec@5 83.594 (80.669) Epoch: [37][8710/10010] Time 0.321 (0.337) Data 0.000 (0.005) Loss 1.7735 (1.8127) Prec@1 56.250 (58.895) Prec@5 78.906 (80.672) Epoch: [37][8720/10010] Time 0.341 (0.337) Data 0.001 (0.005) Loss 1.8890 (1.8127) Prec@1 57.031 (58.896) Prec@5 77.344 (80.671) Epoch: [37][8730/10010] Time 0.340 (0.337) Data 0.000 (0.005) Loss 1.8937 (1.8126) Prec@1 56.250 (58.897) Prec@5 82.031 (80.673) Epoch: [37][8740/10010] Time 0.325 (0.337) Data 0.001 (0.005) Loss 1.9906 (1.8126) Prec@1 55.469 (58.896) Prec@5 79.688 (80.673) Epoch: [37][8750/10010] Time 0.322 (0.337) Data 0.001 (0.005) Loss 1.8094 (1.8127) Prec@1 62.500 (58.897) Prec@5 80.469 (80.671) Epoch: [37][8760/10010] Time 0.335 (0.337) Data 0.001 (0.005) Loss 1.6389 (1.8127) Prec@1 62.500 (58.896) Prec@5 83.594 (80.670) Epoch: [37][8770/10010] Time 0.326 (0.337) Data 0.000 (0.005) Loss 1.7759 (1.8129) Prec@1 60.938 (58.892) Prec@5 84.375 (80.667) Epoch: [37][8780/10010] Time 0.323 (0.337) Data 0.001 (0.005) Loss 1.9732 (1.8129) Prec@1 55.469 (58.889) Prec@5 79.688 (80.665) Epoch: [37][8790/10010] Time 0.337 (0.337) Data 0.001 (0.004) Loss 1.7021 (1.8129) Prec@1 62.500 (58.893) Prec@5 82.031 (80.667) Epoch: [37][8800/10010] Time 0.326 (0.337) Data 0.001 (0.004) Loss 1.9925 (1.8129) Prec@1 54.688 (58.892) Prec@5 79.688 (80.666) Epoch: [37][8810/10010] Time 0.319 (0.337) Data 0.001 (0.004) Loss 1.9556 (1.8129) Prec@1 58.594 (58.893) Prec@5 77.344 (80.666) Epoch: [37][8820/10010] Time 0.329 (0.337) Data 0.005 (0.004) Loss 1.6308 (1.8130) Prec@1 63.281 (58.891) Prec@5 86.719 (80.666) Epoch: [37][8830/10010] Time 0.325 (0.337) Data 0.001 (0.004) Loss 1.6285 (1.8129) Prec@1 62.500 (58.894) Prec@5 85.156 (80.665) Epoch: [37][8840/10010] Time 0.330 (0.337) Data 0.001 (0.004) Loss 2.2305 (1.8129) Prec@1 46.875 (58.894) Prec@5 71.875 (80.665) Epoch: [37][8850/10010] Time 0.313 (0.337) Data 0.001 (0.004) Loss 1.9910 (1.8128) Prec@1 59.375 (58.895) Prec@5 78.125 (80.668) Epoch: [37][8860/10010] Time 0.336 (0.337) Data 0.000 (0.004) Loss 1.8783 (1.8129) Prec@1 57.812 (58.894) Prec@5 81.250 (80.667) Epoch: [37][8870/10010] Time 0.331 (0.337) Data 0.001 (0.004) Loss 1.7079 (1.8130) Prec@1 59.375 (58.892) Prec@5 80.469 (80.665) Epoch: [37][8880/10010] Time 0.318 (0.337) Data 0.001 (0.004) Loss 1.9605 (1.8130) Prec@1 55.469 (58.892) Prec@5 77.344 (80.663) Epoch: [37][8890/10010] Time 0.324 (0.337) Data 0.001 (0.004) Loss 1.7843 (1.8131) Prec@1 59.375 (58.890) Prec@5 82.031 (80.662) Epoch: [37][8900/10010] Time 0.333 (0.337) Data 0.001 (0.004) Loss 1.6436 (1.8130) Prec@1 63.281 (58.892) Prec@5 82.812 (80.663) Epoch: [37][8910/10010] Time 0.324 (0.337) Data 0.001 (0.004) Loss 1.8166 (1.8130) Prec@1 61.719 (58.892) Prec@5 81.250 (80.663) Epoch: [37][8920/10010] Time 0.333 (0.337) Data 0.001 (0.004) Loss 1.8482 (1.8130) Prec@1 57.031 (58.893) Prec@5 79.688 (80.662) Epoch: [37][8930/10010] Time 0.318 (0.337) Data 0.001 (0.004) Loss 1.8248 (1.8130) Prec@1 57.031 (58.895) Prec@5 77.344 (80.663) Epoch: [37][8940/10010] Time 0.335 (0.337) Data 0.001 (0.004) Loss 1.8733 (1.8130) Prec@1 56.250 (58.894) Prec@5 78.125 (80.665) Epoch: [37][8950/10010] Time 0.336 (0.337) Data 0.001 (0.004) Loss 1.5841 (1.8129) Prec@1 64.062 (58.897) Prec@5 82.031 (80.666) Epoch: [37][8960/10010] Time 0.334 (0.337) Data 0.001 (0.004) Loss 1.7929 (1.8129) Prec@1 53.906 (58.895) Prec@5 80.469 (80.666) Epoch: [37][8970/10010] Time 0.339 (0.337) Data 0.001 (0.004) Loss 1.7616 (1.8129) Prec@1 64.062 (58.898) Prec@5 82.031 (80.668) Epoch: [37][8980/10010] Time 0.319 (0.337) Data 0.001 (0.004) Loss 1.5762 (1.8129) Prec@1 64.062 (58.896) Prec@5 88.281 (80.666) Epoch: [37][8990/10010] Time 0.336 (0.337) Data 0.001 (0.004) Loss 1.6661 (1.8128) Prec@1 67.188 (58.900) Prec@5 83.594 (80.667) Epoch: [37][9000/10010] Time 0.319 (0.337) Data 0.001 (0.004) Loss 1.6938 (1.8128) Prec@1 57.031 (58.899) Prec@5 80.469 (80.668) Epoch: [37][9010/10010] Time 0.334 (0.337) Data 0.001 (0.004) Loss 1.8088 (1.8128) Prec@1 52.344 (58.899) Prec@5 81.250 (80.668) Epoch: [37][9020/10010] Time 0.340 (0.337) Data 0.000 (0.004) Loss 1.8026 (1.8130) Prec@1 58.594 (58.895) Prec@5 82.031 (80.664) Epoch: [37][9030/10010] Time 0.321 (0.337) Data 0.000 (0.004) Loss 2.0010 (1.8130) Prec@1 58.594 (58.893) Prec@5 77.344 (80.663) Epoch: [37][9040/10010] Time 0.312 (0.337) Data 0.001 (0.004) Loss 1.7632 (1.8129) Prec@1 55.469 (58.894) Prec@5 81.250 (80.664) Epoch: [37][9050/10010] Time 0.336 (0.337) Data 0.001 (0.004) Loss 1.9559 (1.8130) Prec@1 54.688 (58.893) Prec@5 80.469 (80.663) Epoch: [37][9060/10010] Time 0.318 (0.337) Data 0.001 (0.004) Loss 1.6408 (1.8129) Prec@1 59.375 (58.894) Prec@5 82.031 (80.663) Epoch: [37][9070/10010] Time 0.332 (0.337) Data 0.001 (0.004) Loss 1.8714 (1.8130) Prec@1 59.375 (58.892) Prec@5 78.125 (80.662) Epoch: [37][9080/10010] Time 0.327 (0.337) Data 0.001 (0.004) Loss 2.0643 (1.8132) Prec@1 56.250 (58.890) Prec@5 76.562 (80.660) Epoch: [37][9090/10010] Time 0.321 (0.337) Data 0.000 (0.004) Loss 1.8837 (1.8133) Prec@1 60.938 (58.889) Prec@5 75.781 (80.656) Epoch: [37][9100/10010] Time 0.320 (0.336) Data 0.001 (0.004) Loss 1.7160 (1.8133) Prec@1 53.125 (58.888) Prec@5 83.594 (80.657) Epoch: [37][9110/10010] Time 0.328 (0.336) Data 0.001 (0.004) Loss 1.8011 (1.8134) Prec@1 58.594 (58.886) Prec@5 78.906 (80.656) Epoch: [37][9120/10010] Time 0.326 (0.336) Data 0.000 (0.004) Loss 1.9147 (1.8133) Prec@1 60.938 (58.886) Prec@5 79.688 (80.657) Epoch: [37][9130/10010] Time 0.321 (0.336) Data 0.000 (0.004) Loss 1.8445 (1.8133) Prec@1 60.156 (58.887) Prec@5 80.469 (80.657) Epoch: [37][9140/10010] Time 0.333 (0.336) Data 0.001 (0.004) Loss 1.9709 (1.8135) Prec@1 61.719 (58.884) Prec@5 82.031 (80.655) Epoch: [37][9150/10010] Time 0.325 (0.336) Data 0.001 (0.004) Loss 1.7902 (1.8135) Prec@1 60.938 (58.882) Prec@5 82.031 (80.653) Epoch: [37][9160/10010] Time 0.343 (0.336) Data 0.001 (0.004) Loss 1.6247 (1.8135) Prec@1 63.281 (58.884) Prec@5 82.812 (80.654) Epoch: [37][9170/10010] Time 0.336 (0.336) Data 0.001 (0.004) Loss 1.8602 (1.8135) Prec@1 60.156 (58.883) Prec@5 77.344 (80.652) Epoch: [37][9180/10010] Time 0.325 (0.336) Data 0.001 (0.004) Loss 1.8467 (1.8135) Prec@1 60.938 (58.886) Prec@5 81.250 (80.653) Epoch: [37][9190/10010] Time 0.325 (0.336) Data 0.000 (0.004) Loss 2.2320 (1.8136) Prec@1 51.562 (58.886) Prec@5 78.125 (80.653) Epoch: [37][9200/10010] Time 0.320 (0.336) Data 0.000 (0.004) Loss 1.8972 (1.8136) Prec@1 53.125 (58.886) Prec@5 84.375 (80.652) Epoch: [37][9210/10010] Time 0.338 (0.336) Data 0.001 (0.004) Loss 2.0505 (1.8136) Prec@1 50.000 (58.886) Prec@5 77.344 (80.652) Epoch: [37][9220/10010] Time 0.323 (0.336) Data 0.001 (0.004) Loss 1.8588 (1.8136) Prec@1 53.125 (58.883) Prec@5 79.688 (80.653) Epoch: [37][9230/10010] Time 0.320 (0.336) Data 0.001 (0.004) Loss 1.9985 (1.8136) Prec@1 55.469 (58.880) Prec@5 75.000 (80.653) Epoch: [37][9240/10010] Time 0.324 (0.336) Data 0.001 (0.004) Loss 1.8737 (1.8137) Prec@1 61.719 (58.880) Prec@5 81.250 (80.653) Epoch: [37][9250/10010] Time 0.331 (0.336) Data 0.001 (0.004) Loss 1.6223 (1.8136) Prec@1 62.500 (58.879) Prec@5 81.250 (80.653) Epoch: [37][9260/10010] Time 0.317 (0.336) Data 0.001 (0.004) Loss 1.8287 (1.8138) Prec@1 58.594 (58.877) Prec@5 75.781 (80.650) Epoch: [37][9270/10010] Time 0.335 (0.336) Data 0.001 (0.004) Loss 1.7253 (1.8138) Prec@1 60.938 (58.876) Prec@5 81.250 (80.650) Epoch: [37][9280/10010] Time 0.318 (0.336) Data 0.001 (0.004) Loss 2.0666 (1.8137) Prec@1 53.125 (58.876) Prec@5 75.000 (80.650) Epoch: [37][9290/10010] Time 0.326 (0.336) Data 0.001 (0.004) Loss 1.8194 (1.8138) Prec@1 57.812 (58.875) Prec@5 81.250 (80.650) Epoch: [37][9300/10010] Time 0.337 (0.336) Data 0.001 (0.004) Loss 1.8817 (1.8137) Prec@1 59.375 (58.878) Prec@5 79.688 (80.650) Epoch: [37][9310/10010] Time 0.313 (0.336) Data 0.001 (0.004) Loss 1.8309 (1.8138) Prec@1 61.719 (58.877) Prec@5 81.250 (80.648) Epoch: [37][9320/10010] Time 0.329 (0.336) Data 0.001 (0.004) Loss 1.7978 (1.8138) Prec@1 61.719 (58.876) Prec@5 82.812 (80.648) Epoch: [37][9330/10010] Time 0.329 (0.336) Data 0.000 (0.004) Loss 1.7071 (1.8139) Prec@1 62.500 (58.875) Prec@5 82.812 (80.647) Epoch: [37][9340/10010] Time 0.318 (0.336) Data 0.001 (0.004) Loss 1.7656 (1.8140) Prec@1 60.938 (58.873) Prec@5 80.469 (80.644) Epoch: [37][9350/10010] Time 0.336 (0.336) Data 0.001 (0.004) Loss 1.8441 (1.8141) Prec@1 53.906 (58.873) Prec@5 78.906 (80.644) Epoch: [37][9360/10010] Time 0.317 (0.336) Data 0.001 (0.004) Loss 1.6179 (1.8142) Prec@1 56.250 (58.871) Prec@5 85.156 (80.642) Epoch: [37][9370/10010] Time 0.341 (0.336) Data 0.000 (0.004) Loss 1.8784 (1.8142) Prec@1 59.375 (58.870) Prec@5 82.031 (80.643) Epoch: [37][9380/10010] Time 0.332 (0.336) Data 0.001 (0.004) Loss 1.4418 (1.8142) Prec@1 66.406 (58.871) Prec@5 87.500 (80.643) Epoch: [37][9390/10010] Time 0.321 (0.336) Data 0.001 (0.004) Loss 2.0526 (1.8142) Prec@1 55.469 (58.871) Prec@5 77.344 (80.642) Epoch: [37][9400/10010] Time 0.316 (0.336) Data 0.001 (0.004) Loss 1.7612 (1.8143) Prec@1 62.500 (58.871) Prec@5 83.594 (80.643) Epoch: [37][9410/10010] Time 0.331 (0.336) Data 0.001 (0.004) Loss 1.8710 (1.8144) Prec@1 60.938 (58.870) Prec@5 79.688 (80.642) Epoch: [37][9420/10010] Time 0.320 (0.336) Data 0.001 (0.004) Loss 1.8864 (1.8144) Prec@1 60.156 (58.870) Prec@5 75.781 (80.642) Epoch: [37][9430/10010] Time 0.336 (0.336) Data 0.001 (0.004) Loss 1.6007 (1.8144) Prec@1 62.500 (58.870) Prec@5 83.594 (80.641) Epoch: [37][9440/10010] Time 0.319 (0.336) Data 0.001 (0.004) Loss 1.7654 (1.8144) Prec@1 60.156 (58.869) Prec@5 80.469 (80.640) Epoch: [37][9450/10010] Time 0.326 (0.336) Data 0.001 (0.004) Loss 2.1839 (1.8144) Prec@1 50.781 (58.868) Prec@5 74.219 (80.639) Epoch: [37][9460/10010] Time 0.338 (0.336) Data 0.000 (0.004) Loss 1.8313 (1.8145) Prec@1 60.156 (58.867) Prec@5 82.031 (80.638) Epoch: [37][9470/10010] Time 0.333 (0.336) Data 0.001 (0.004) Loss 1.7044 (1.8145) Prec@1 60.938 (58.868) Prec@5 85.156 (80.639) Epoch: [37][9480/10010] Time 0.339 (0.336) Data 0.001 (0.004) Loss 2.1069 (1.8145) Prec@1 53.125 (58.870) Prec@5 78.906 (80.641) Epoch: [37][9490/10010] Time 0.335 (0.336) Data 0.001 (0.004) Loss 1.7177 (1.8144) Prec@1 59.375 (58.871) Prec@5 77.344 (80.641) Epoch: [37][9500/10010] Time 0.320 (0.336) Data 0.000 (0.004) Loss 1.8081 (1.8143) Prec@1 53.906 (58.873) Prec@5 82.031 (80.642) Epoch: [37][9510/10010] Time 0.327 (0.336) Data 0.001 (0.004) Loss 2.0077 (1.8143) Prec@1 55.469 (58.872) Prec@5 75.781 (80.642) Epoch: [37][9520/10010] Time 0.339 (0.336) Data 0.001 (0.004) Loss 1.4158 (1.8143) Prec@1 67.969 (58.873) Prec@5 88.281 (80.642) Epoch: [37][9530/10010] Time 0.322 (0.336) Data 0.001 (0.004) Loss 1.5823 (1.8143) Prec@1 68.750 (58.872) Prec@5 86.719 (80.640) Epoch: [37][9540/10010] Time 0.337 (0.336) Data 0.001 (0.004) Loss 1.3021 (1.8143) Prec@1 68.750 (58.872) Prec@5 87.500 (80.640) Epoch: [37][9550/10010] Time 0.314 (0.336) Data 0.000 (0.004) Loss 2.0736 (1.8142) Prec@1 52.344 (58.874) Prec@5 79.688 (80.642) Epoch: [37][9560/10010] Time 0.323 (0.336) Data 0.001 (0.004) Loss 1.7070 (1.8142) Prec@1 63.281 (58.873) Prec@5 81.250 (80.643) Epoch: [37][9570/10010] Time 0.315 (0.336) Data 0.000 (0.004) Loss 1.9096 (1.8141) Prec@1 54.688 (58.873) Prec@5 78.125 (80.645) Epoch: [37][9580/10010] Time 0.335 (0.336) Data 0.001 (0.004) Loss 1.5804 (1.8141) Prec@1 60.938 (58.874) Prec@5 83.594 (80.646) Epoch: [37][9590/10010] Time 0.340 (0.336) Data 0.001 (0.004) Loss 1.8410 (1.8142) Prec@1 51.562 (58.869) Prec@5 80.469 (80.645) Epoch: [37][9600/10010] Time 0.317 (0.336) Data 0.000 (0.004) Loss 1.8524 (1.8141) Prec@1 55.469 (58.871) Prec@5 79.688 (80.646) Epoch: [37][9610/10010] Time 0.344 (0.336) Data 0.001 (0.004) Loss 1.6350 (1.8140) Prec@1 64.062 (58.872) Prec@5 81.250 (80.645) Epoch: [37][9620/10010] Time 0.334 (0.336) Data 0.001 (0.004) Loss 1.7570 (1.8140) Prec@1 66.406 (58.873) Prec@5 81.250 (80.646) Epoch: [37][9630/10010] Time 0.311 (0.336) Data 0.001 (0.004) Loss 1.7441 (1.8139) Prec@1 57.812 (58.874) Prec@5 85.156 (80.645) Epoch: [37][9640/10010] Time 0.323 (0.336) Data 0.001 (0.004) Loss 2.1906 (1.8140) Prec@1 50.781 (58.873) Prec@5 75.000 (80.644) Epoch: [37][9650/10010] Time 0.337 (0.336) Data 0.001 (0.004) Loss 1.7096 (1.8141) Prec@1 60.156 (58.873) Prec@5 83.594 (80.643) Epoch: [37][9660/10010] Time 0.334 (0.336) Data 0.001 (0.004) Loss 1.6981 (1.8140) Prec@1 59.375 (58.874) Prec@5 87.500 (80.644) Epoch: [37][9670/10010] Time 0.319 (0.336) Data 0.001 (0.004) Loss 1.7892 (1.8140) Prec@1 62.500 (58.874) Prec@5 81.250 (80.645) Epoch: [37][9680/10010] Time 0.340 (0.336) Data 0.001 (0.004) Loss 1.8791 (1.8141) Prec@1 57.031 (58.873) Prec@5 77.344 (80.644) Epoch: [37][9690/10010] Time 0.341 (0.336) Data 0.001 (0.004) Loss 1.8252 (1.8141) Prec@1 58.594 (58.874) Prec@5 78.906 (80.643) Epoch: [37][9700/10010] Time 0.321 (0.336) Data 0.000 (0.004) Loss 2.0750 (1.8142) Prec@1 55.469 (58.873) Prec@5 76.562 (80.642) Epoch: [37][9710/10010] Time 0.337 (0.336) Data 0.001 (0.004) Loss 1.6234 (1.8142) Prec@1 60.156 (58.874) Prec@5 83.594 (80.642) Epoch: [37][9720/10010] Time 0.340 (0.336) Data 0.001 (0.004) Loss 1.8867 (1.8143) Prec@1 57.031 (58.873) Prec@5 82.031 (80.641) Epoch: [37][9730/10010] Time 0.321 (0.336) Data 0.000 (0.004) Loss 1.7800 (1.8143) Prec@1 59.375 (58.872) Prec@5 80.469 (80.641) Epoch: [37][9740/10010] Time 0.339 (0.336) Data 0.000 (0.004) Loss 1.7157 (1.8143) Prec@1 58.594 (58.872) Prec@5 82.031 (80.640) Epoch: [37][9750/10010] Time 0.332 (0.336) Data 0.001 (0.004) Loss 2.0224 (1.8143) Prec@1 54.688 (58.873) Prec@5 77.344 (80.640) Epoch: [37][9760/10010] Time 0.333 (0.336) Data 0.001 (0.004) Loss 1.4883 (1.8143) Prec@1 64.062 (58.874) Prec@5 85.938 (80.639) Epoch: [37][9770/10010] Time 0.325 (0.336) Data 0.001 (0.004) Loss 1.6534 (1.8144) Prec@1 63.281 (58.873) Prec@5 82.812 (80.638) Epoch: [37][9780/10010] Time 0.317 (0.336) Data 0.000 (0.004) Loss 1.8762 (1.8144) Prec@1 55.469 (58.872) Prec@5 80.469 (80.639) Epoch: [37][9790/10010] Time 0.312 (0.336) Data 0.001 (0.004) Loss 1.8944 (1.8144) Prec@1 55.469 (58.871) Prec@5 82.031 (80.639) Epoch: [37][9800/10010] Time 0.319 (0.336) Data 0.000 (0.004) Loss 1.9662 (1.8144) Prec@1 58.594 (58.872) Prec@5 78.125 (80.638) Epoch: [37][9810/10010] Time 0.321 (0.336) Data 0.001 (0.004) Loss 1.8713 (1.8145) Prec@1 63.281 (58.873) Prec@5 78.906 (80.638) Epoch: [37][9820/10010] Time 0.331 (0.336) Data 0.000 (0.004) Loss 2.1281 (1.8146) Prec@1 53.906 (58.873) Prec@5 74.219 (80.637) Epoch: [37][9830/10010] Time 0.322 (0.336) Data 0.001 (0.004) Loss 1.9483 (1.8146) Prec@1 57.031 (58.872) Prec@5 80.469 (80.637) Epoch: [37][9840/10010] Time 0.327 (0.336) Data 0.000 (0.004) Loss 1.6479 (1.8146) Prec@1 61.719 (58.871) Prec@5 82.812 (80.635) Epoch: [37][9850/10010] Time 0.327 (0.336) Data 0.001 (0.004) Loss 1.8970 (1.8147) Prec@1 57.812 (58.870) Prec@5 80.469 (80.635) Epoch: [37][9860/10010] Time 0.330 (0.336) Data 0.001 (0.004) Loss 1.8033 (1.8146) Prec@1 57.031 (58.871) Prec@5 82.031 (80.635) Epoch: [37][9870/10010] Time 0.332 (0.336) Data 0.001 (0.004) Loss 1.6527 (1.8145) Prec@1 64.844 (58.872) Prec@5 83.594 (80.637) Epoch: [37][9880/10010] Time 0.326 (0.336) Data 0.000 (0.004) Loss 1.7444 (1.8145) Prec@1 64.062 (58.874) Prec@5 83.594 (80.636) Epoch: [37][9890/10010] Time 0.328 (0.336) Data 0.001 (0.004) Loss 1.6958 (1.8145) Prec@1 65.625 (58.875) Prec@5 82.812 (80.638) Epoch: [37][9900/10010] Time 0.332 (0.336) Data 0.001 (0.004) Loss 1.9897 (1.8144) Prec@1 53.125 (58.876) Prec@5 81.250 (80.638) Epoch: [37][9910/10010] Time 0.334 (0.336) Data 0.001 (0.004) Loss 1.5724 (1.8144) Prec@1 60.938 (58.876) Prec@5 85.156 (80.638) Epoch: [37][9920/10010] Time 0.322 (0.336) Data 0.001 (0.004) Loss 1.7104 (1.8145) Prec@1 58.594 (58.874) Prec@5 78.125 (80.637) Epoch: [37][9930/10010] Time 0.329 (0.336) Data 0.001 (0.004) Loss 1.7172 (1.8144) Prec@1 62.500 (58.875) Prec@5 81.250 (80.637) Epoch: [37][9940/10010] Time 0.329 (0.336) Data 0.001 (0.004) Loss 2.1336 (1.8145) Prec@1 50.000 (58.874) Prec@5 75.781 (80.636) Epoch: [37][9950/10010] Time 0.318 (0.336) Data 0.001 (0.004) Loss 2.0849 (1.8145) Prec@1 55.469 (58.875) Prec@5 78.125 (80.636) Epoch: [37][9960/10010] Time 0.319 (0.336) Data 0.001 (0.004) Loss 2.0637 (1.8146) Prec@1 54.688 (58.872) Prec@5 77.344 (80.633) Epoch: [37][9970/10010] Time 0.323 (0.336) Data 0.001 (0.004) Loss 2.0261 (1.8146) Prec@1 57.812 (58.873) Prec@5 78.125 (80.635) Epoch: [37][9980/10010] Time 0.331 (0.336) Data 0.001 (0.004) Loss 1.8043 (1.8147) Prec@1 58.594 (58.872) Prec@5 82.812 (80.634) Epoch: [37][9990/10010] Time 0.327 (0.336) Data 0.001 (0.004) Loss 1.8092 (1.8147) Prec@1 58.594 (58.872) Prec@5 80.469 (80.634) Epoch: [37][10000/10010] Time 0.327 (0.336) Data 0.000 (0.004) Loss 2.0055 (1.8148) Prec@1 57.031 (58.869) Prec@5 78.125 (80.632) Test: [0/391] Time 1.135 (1.135) Loss 0.9065 (0.9065) Prec@1 78.906 (78.906) Prec@5 89.062 (89.062) Test: [10/391] Time 0.178 (0.211) Loss 1.7396 (0.9012) Prec@1 62.500 (78.480) Prec@5 84.375 (92.116) Test: [20/391] Time 0.121 (0.169) Loss 1.2990 (1.2448) Prec@1 70.312 (70.312) Prec@5 87.500 (88.244) Test: [30/391] Time 0.132 (0.155) Loss 1.8548 (1.3551) Prec@1 62.500 (66.784) Prec@5 82.031 (87.954) Test: [40/391] Time 0.124 (0.147) Loss 1.5859 (1.2365) Prec@1 65.625 (69.817) Prec@5 85.156 (88.948) Test: [50/391] Time 0.127 (0.141) Loss 0.5280 (1.2587) Prec@1 85.938 (69.332) Prec@5 96.094 (88.588) Test: [60/391] Time 0.128 (0.138) Loss 1.2186 (1.1815) Prec@1 64.844 (71.119) Prec@5 91.406 (89.408) Test: [70/391] Time 0.126 (0.135) Loss 1.8588 (1.2282) Prec@1 49.219 (69.443) Prec@5 83.594 (89.272) Test: [80/391] Time 0.116 (0.135) Loss 1.1349 (1.2476) Prec@1 68.750 (68.306) Prec@5 90.625 (89.304) Test: [90/391] Time 0.114 (0.133) Loss 1.1282 (1.2479) Prec@1 59.375 (68.252) Prec@5 94.531 (89.423) Test: [100/391] Time 0.106 (0.131) Loss 0.9883 (1.2321) Prec@1 78.125 (68.239) Prec@5 92.969 (89.813) Test: [110/391] Time 0.122 (0.130) Loss 1.4140 (1.2280) Prec@1 53.125 (67.983) Prec@5 90.625 (90.027) Test: [120/391] Time 0.114 (0.129) Loss 0.9609 (1.2198) Prec@1 74.219 (68.459) Prec@5 94.531 (90.128) Test: [130/391] Time 0.115 (0.128) Loss 0.5289 (1.2044) Prec@1 89.844 (69.036) Prec@5 96.094 (90.303) Test: [140/391] Time 0.125 (0.127) Loss 1.4893 (1.2041) Prec@1 64.844 (69.071) Prec@5 89.844 (90.309) Test: [150/391] Time 0.102 (0.126) Loss 1.3360 (1.2102) Prec@1 54.688 (69.004) Prec@5 92.188 (90.154) Test: [160/391] Time 0.241 (0.126) Loss 1.3726 (1.2189) Prec@1 61.719 (68.866) Prec@5 89.062 (90.023) Test: [170/391] Time 0.115 (0.126) Loss 1.8277 (1.2543) Prec@1 50.781 (68.220) Prec@5 87.500 (89.519) Test: [180/391] Time 0.124 (0.126) Loss 2.4344 (1.2943) Prec@1 41.406 (67.442) Prec@5 78.906 (88.950) Test: [190/391] Time 0.119 (0.125) Loss 1.9751 (1.3281) Prec@1 50.781 (66.836) Prec@5 82.031 (88.490) Test: [200/391] Time 0.113 (0.125) Loss 1.2884 (1.3599) Prec@1 72.656 (66.344) Prec@5 89.844 (88.052) Test: [210/391] Time 0.117 (0.125) Loss 1.6268 (1.3762) Prec@1 67.969 (66.043) Prec@5 85.938 (87.848) Test: [220/391] Time 0.119 (0.125) Loss 0.7933 (1.3836) Prec@1 81.250 (65.964) Prec@5 93.750 (87.659) Test: [230/391] Time 0.117 (0.125) Loss 2.6090 (1.4018) Prec@1 39.844 (65.618) Prec@5 74.219 (87.453) Test: [240/391] Time 0.123 (0.124) Loss 1.7081 (1.4130) Prec@1 64.062 (65.482) Prec@5 82.812 (87.241) Test: [250/391] Time 0.112 (0.124) Loss 1.1614 (1.4406) Prec@1 74.219 (64.894) Prec@5 88.281 (86.874) Test: [260/391] Time 0.159 (0.124) Loss 1.9439 (1.4586) Prec@1 58.594 (64.538) Prec@5 80.469 (86.683) Test: [270/391] Time 0.183 (0.124) Loss 2.3285 (1.4704) Prec@1 45.312 (64.302) Prec@5 78.125 (86.494) Test: [280/391] Time 0.122 (0.124) Loss 1.4389 (1.4797) Prec@1 61.719 (64.190) Prec@5 89.844 (86.324) Test: [290/391] Time 0.106 (0.124) Loss 2.4139 (1.4959) Prec@1 29.688 (63.893) Prec@5 73.438 (86.040) Test: [300/391] Time 0.105 (0.123) Loss 1.6367 (1.5092) Prec@1 74.219 (63.722) Prec@5 83.594 (85.841) Test: [310/391] Time 0.109 (0.123) Loss 1.8159 (1.5197) Prec@1 57.031 (63.510) Prec@5 80.469 (85.634) Test: [320/391] Time 0.107 (0.122) Loss 1.3163 (1.5272) Prec@1 71.875 (63.391) Prec@5 90.625 (85.572) Test: [330/391] Time 0.100 (0.122) Loss 2.1769 (1.5455) Prec@1 57.031 (62.986) Prec@5 75.000 (85.293) Test: [340/391] Time 0.107 (0.121) Loss 1.3751 (1.5556) Prec@1 53.906 (62.679) Prec@5 92.969 (85.181) Test: [350/391] Time 0.108 (0.121) Loss 1.5478 (1.5629) Prec@1 68.750 (62.531) Prec@5 85.156 (85.078) Test: [360/391] Time 0.104 (0.120) Loss 1.5784 (1.5745) Prec@1 57.031 (62.305) Prec@5 86.719 (84.966) Test: [370/391] Time 0.101 (0.120) Loss 1.6204 (1.5695) Prec@1 54.688 (62.340) Prec@5 86.719 (85.013) Test: [380/391] Time 0.113 (0.120) Loss 1.0689 (1.5692) Prec@1 71.875 (62.375) Prec@5 93.750 (84.990) Test: [390/391] Time 0.072 (0.119) Loss 2.5205 (1.5625) Prec@1 37.500 (62.526) Prec@5 73.750 (85.080) * Prec@1 62.526 Prec@5 85.080 Epoch: [38][0/10010] Time 2.981 (2.981) Data 2.792 (2.792) Loss 1.9010 (1.9010) Prec@1 56.250 (56.250) Prec@5 78.906 (78.906) Epoch: [38][10/10010] Time 0.320 (0.559) Data 0.001 (0.254) Loss 1.8506 (1.8516) Prec@1 56.250 (57.955) Prec@5 78.906 (79.545) Epoch: [38][20/10010] Time 0.318 (0.443) Data 0.000 (0.133) Loss 1.7556 (1.8143) Prec@1 58.594 (58.705) Prec@5 80.469 (80.134) Epoch: [38][30/10010] Time 0.318 (0.402) Data 0.000 (0.091) Loss 1.5487 (1.7886) Prec@1 64.062 (59.073) Prec@5 84.375 (81.074) Epoch: [38][40/10010] Time 0.327 (0.381) Data 0.001 (0.069) Loss 1.8355 (1.8185) Prec@1 58.594 (58.651) Prec@5 80.469 (80.716) Epoch: [38][50/10010] Time 0.333 (0.370) Data 0.001 (0.055) Loss 1.7488 (1.7997) Prec@1 60.156 (59.099) Prec@5 82.031 (80.882) Epoch: [38][60/10010] Time 0.335 (0.365) Data 0.000 (0.046) Loss 2.1356 (1.7973) Prec@1 57.031 (59.068) Prec@5 75.781 (80.930) Epoch: [38][70/10010] Time 0.313 (0.358) Data 0.001 (0.040) Loss 1.7498 (1.7938) Prec@1 57.812 (59.155) Prec@5 81.250 (81.008) Epoch: [38][80/10010] Time 0.325 (0.354) Data 0.001 (0.035) Loss 1.7487 (1.7843) Prec@1 65.625 (59.510) Prec@5 82.031 (81.260) Epoch: [38][90/10010] Time 0.324 (0.351) Data 0.000 (0.031) Loss 1.8385 (1.7814) Prec@1 57.812 (59.590) Prec@5 80.469 (81.216) Epoch: [38][100/10010] Time 0.314 (0.347) Data 0.000 (0.028) Loss 1.9707 (1.7880) Prec@1 59.375 (59.561) Prec@5 76.562 (81.026) Epoch: [38][110/10010] Time 0.316 (0.345) Data 0.001 (0.026) Loss 1.7165 (1.7905) Prec@1 57.812 (59.551) Prec@5 78.906 (80.968) Epoch: [38][120/10010] Time 0.324 (0.344) Data 0.001 (0.024) Loss 1.8122 (1.7952) Prec@1 59.375 (59.440) Prec@5 77.344 (80.850) Epoch: [38][130/10010] Time 0.329 (0.342) Data 0.001 (0.022) Loss 1.7575 (1.7952) Prec@1 64.062 (59.447) Prec@5 82.812 (80.844) Epoch: [38][140/10010] Time 0.321 (0.341) Data 0.001 (0.020) Loss 1.5375 (1.7936) Prec@1 65.625 (59.469) Prec@5 80.469 (80.801) Epoch: [38][150/10010] Time 0.328 (0.340) Data 0.000 (0.019) Loss 1.8859 (1.7977) Prec@1 60.938 (59.458) Prec@5 75.000 (80.738) Epoch: [38][160/10010] Time 0.317 (0.339) Data 0.001 (0.018) Loss 1.4689 (1.7957) Prec@1 67.188 (59.569) Prec@5 88.281 (80.750) Epoch: [38][170/10010] Time 0.337 (0.338) Data 0.001 (0.017) Loss 1.5466 (1.7914) Prec@1 63.281 (59.681) Prec@5 83.594 (80.816) Epoch: [38][180/10010] Time 0.328 (0.337) Data 0.000 (0.016) Loss 1.9773 (1.7885) Prec@1 54.688 (59.617) Prec@5 77.344 (80.866) Epoch: [38][190/10010] Time 0.343 (0.337) Data 0.001 (0.015) Loss 1.8691 (1.7906) Prec@1 60.156 (59.604) Prec@5 75.781 (80.845) Epoch: [38][200/10010] Time 0.333 (0.337) Data 0.001 (0.014) Loss 1.6479 (1.7882) Prec@1 60.938 (59.624) Prec@5 82.031 (80.912) Epoch: [38][210/10010] Time 0.324 (0.336) Data 0.000 (0.014) Loss 1.4296 (1.7843) Prec@1 66.406 (59.671) Prec@5 86.719 (81.002) Epoch: [38][220/10010] Time 0.328 (0.336) Data 0.001 (0.013) Loss 1.7300 (1.7836) Prec@1 61.719 (59.718) Prec@5 79.688 (80.995) Epoch: [38][230/10010] Time 0.333 (0.335) Data 0.000 (0.013) Loss 2.2584 (1.7825) Prec@1 50.781 (59.791) Prec@5 71.875 (81.010) Epoch: [38][240/10010] Time 0.332 (0.335) Data 0.000 (0.012) Loss 2.0184 (1.7791) Prec@1 53.906 (59.832) Prec@5 77.344 (81.062) Epoch: [38][250/10010] Time 0.321 (0.334) Data 0.001 (0.012) Loss 1.4160 (1.7790) Prec@1 61.719 (59.786) Prec@5 87.500 (81.045) Epoch: [38][260/10010] Time 0.330 (0.334) Data 0.000 (0.011) Loss 2.0929 (1.7798) Prec@1 51.562 (59.770) Prec@5 74.219 (81.017) Epoch: [38][270/10010] Time 0.320 (0.334) Data 0.000 (0.011) Loss 1.7852 (1.7808) Prec@1 63.281 (59.781) Prec@5 81.250 (81.008) Epoch: [38][280/10010] Time 0.332 (0.333) Data 0.001 (0.011) Loss 1.8649 (1.7777) Prec@1 61.719 (59.848) Prec@5 80.469 (81.080) Epoch: [38][290/10010] Time 0.337 (0.333) Data 0.001 (0.010) Loss 1.7888 (1.7778) Prec@1 60.156 (59.807) Prec@5 85.156 (81.108) Epoch: [38][300/10010] Time 0.320 (0.333) Data 0.000 (0.010) Loss 1.5608 (1.7766) Prec@1 66.406 (59.801) Prec@5 85.156 (81.133) Epoch: [38][310/10010] Time 0.326 (0.333) Data 0.001 (0.010) Loss 1.5321 (1.7755) Prec@1 65.625 (59.774) Prec@5 84.375 (81.150) Epoch: [38][320/10010] Time 0.320 (0.333) Data 0.001 (0.009) Loss 2.2287 (1.7761) Prec@1 54.688 (59.818) Prec@5 72.656 (81.126) Epoch: [38][330/10010] Time 0.324 (0.332) Data 0.001 (0.009) Loss 2.1118 (1.7769) Prec@1 52.344 (59.772) Prec@5 71.875 (81.080) Epoch: [38][340/10010] Time 0.312 (0.332) Data 0.001 (0.009) Loss 1.5981 (1.7756) Prec@1 58.594 (59.742) Prec@5 85.156 (81.117) Epoch: [38][350/10010] Time 0.320 (0.332) Data 0.001 (0.009) Loss 1.4973 (1.7765) Prec@1 64.062 (59.722) Prec@5 85.938 (81.090) Epoch: [38][360/10010] Time 0.320 (0.332) Data 0.001 (0.008) Loss 1.5128 (1.7770) Prec@1 67.969 (59.765) Prec@5 86.719 (81.064) Epoch: [38][370/10010] Time 0.318 (0.331) Data 0.000 (0.008) Loss 1.9968 (1.7761) Prec@1 54.688 (59.817) Prec@5 78.906 (81.071) Epoch: [38][380/10010] Time 0.317 (0.331) Data 0.000 (0.008) Loss 1.7001 (1.7733) Prec@1 63.281 (59.847) Prec@5 80.469 (81.137) Epoch: [38][390/10010] Time 0.319 (0.331) Data 0.001 (0.008) Loss 2.0418 (1.7730) Prec@1 55.469 (59.813) Prec@5 79.688 (81.168) Epoch: [38][400/10010] Time 0.321 (0.331) Data 0.000 (0.008) Loss 1.9252 (1.7747) Prec@1 57.812 (59.808) Prec@5 79.688 (81.147) Epoch: [38][410/10010] Time 0.334 (0.331) Data 0.000 (0.007) Loss 1.5512 (1.7756) Prec@1 61.719 (59.795) Prec@5 83.594 (81.123) Epoch: [38][420/10010] Time 0.339 (0.331) Data 0.001 (0.007) Loss 1.8956 (1.7779) Prec@1 60.156 (59.739) Prec@5 80.469 (81.072) Epoch: [38][430/10010] Time 0.331 (0.331) Data 0.001 (0.007) Loss 1.8542 (1.7791) Prec@1 60.156 (59.672) Prec@5 79.688 (81.071) Epoch: [38][440/10010] Time 0.337 (0.331) Data 0.001 (0.007) Loss 1.8460 (1.7824) Prec@1 58.594 (59.589) Prec@5 74.219 (81.020) Epoch: [38][450/10010] Time 0.336 (0.331) Data 0.001 (0.007) Loss 1.6328 (1.7826) Prec@1 60.938 (59.574) Prec@5 80.469 (81.035) Epoch: [38][460/10010] Time 0.319 (0.331) Data 0.000 (0.007) Loss 1.8118 (1.7848) Prec@1 58.594 (59.543) Prec@5 78.125 (80.977) Epoch: [38][470/10010] Time 0.335 (0.331) Data 0.001 (0.007) Loss 1.5982 (1.7833) Prec@1 65.625 (59.569) Prec@5 82.031 (81.006) Epoch: [38][480/10010] Time 0.341 (0.331) Data 0.001 (0.006) Loss 1.6555 (1.7818) Prec@1 64.844 (59.593) Prec@5 82.031 (81.019) Epoch: [38][490/10010] Time 0.328 (0.331) Data 0.000 (0.006) Loss 1.4200 (1.7814) Prec@1 69.531 (59.579) Prec@5 86.719 (81.021) Epoch: [38][500/10010] Time 0.320 (0.331) Data 0.001 (0.006) Loss 1.9534 (1.7806) Prec@1 55.469 (59.607) Prec@5 77.344 (81.025) Epoch: [38][510/10010] Time 0.319 (0.330) Data 0.001 (0.006) Loss 1.9539 (1.7799) Prec@1 53.906 (59.659) Prec@5 78.125 (81.028) Epoch: [38][520/10010] Time 0.335 (0.331) Data 0.001 (0.006) Loss 1.6552 (1.7797) Prec@1 60.938 (59.690) Prec@5 84.375 (81.037) Epoch: [38][530/10010] Time 0.315 (0.330) Data 0.000 (0.006) Loss 2.0800 (1.7810) Prec@1 58.594 (59.668) Prec@5 78.906 (81.041) Epoch: [38][540/10010] Time 0.335 (0.330) Data 0.000 (0.006) Loss 1.5504 (1.7793) Prec@1 66.406 (59.691) Prec@5 87.500 (81.077) Epoch: [38][550/10010] Time 0.335 (0.331) Data 0.001 (0.006) Loss 1.6261 (1.7777) Prec@1 64.844 (59.714) Prec@5 85.156 (81.100) Epoch: [38][560/10010] Time 0.321 (0.331) Data 0.000 (0.006) Loss 1.5018 (1.7764) Prec@1 67.969 (59.737) Prec@5 87.500 (81.132) Epoch: [38][570/10010] Time 0.315 (0.330) Data 0.001 (0.006) Loss 1.6135 (1.7765) Prec@1 67.188 (59.773) Prec@5 84.375 (81.123) Epoch: [38][580/10010] Time 0.321 (0.330) Data 0.000 (0.005) Loss 1.8823 (1.7763) Prec@1 60.156 (59.764) Prec@5 80.469 (81.128) Epoch: [38][590/10010] Time 0.336 (0.330) Data 0.001 (0.005) Loss 1.8587 (1.7771) Prec@1 57.031 (59.744) Prec@5 82.812 (81.119) Epoch: [38][600/10010] Time 0.314 (0.330) Data 0.001 (0.005) Loss 1.8312 (1.7770) Prec@1 60.156 (59.747) Prec@5 81.250 (81.137) Epoch: [38][610/10010] Time 0.335 (0.330) Data 0.000 (0.005) Loss 1.6386 (1.7776) Prec@1 61.719 (59.725) Prec@5 83.594 (81.116) Epoch: [38][620/10010] Time 0.341 (0.330) Data 0.000 (0.005) Loss 1.9679 (1.7775) Prec@1 59.375 (59.711) Prec@5 80.469 (81.132) Epoch: [38][630/10010] Time 0.334 (0.330) Data 0.001 (0.005) Loss 1.6531 (1.7780) Prec@1 58.594 (59.707) Prec@5 84.375 (81.135) Epoch: [38][640/10010] Time 0.338 (0.330) Data 0.001 (0.005) Loss 1.9075 (1.7782) Prec@1 57.031 (59.692) Prec@5 78.125 (81.112) Epoch: [38][650/10010] Time 0.319 (0.330) Data 0.000 (0.005) Loss 1.7965 (1.7794) Prec@1 60.938 (59.665) Prec@5 82.812 (81.087) Epoch: [38][660/10010] Time 0.331 (0.330) Data 0.000 (0.005) Loss 1.9090 (1.7802) Prec@1 58.594 (59.663) Prec@5 78.906 (81.070) Epoch: [38][670/10010] Time 0.323 (0.330) Data 0.000 (0.005) Loss 1.8237 (1.7798) Prec@1 61.719 (59.672) Prec@5 82.031 (81.080) Epoch: [38][680/10010] Time 0.320 (0.330) Data 0.001 (0.005) Loss 1.9193 (1.7802) Prec@1 57.031 (59.669) Prec@5 78.125 (81.073) Epoch: [38][690/10010] Time 0.334 (0.330) Data 0.000 (0.005) Loss 1.4721 (1.7799) Prec@1 68.750 (59.685) Prec@5 85.938 (81.082) Epoch: [38][700/10010] Time 0.338 (0.330) Data 0.001 (0.005) Loss 1.7749 (1.7799) Prec@1 60.156 (59.676) Prec@5 77.344 (81.086) Epoch: [38][710/10010] Time 0.339 (0.330) Data 0.001 (0.005) Loss 1.7356 (1.7790) Prec@1 60.156 (59.690) Prec@5 78.906 (81.098) Epoch: [38][720/10010] Time 0.338 (0.330) Data 0.001 (0.004) Loss 1.6273 (1.7787) Prec@1 62.500 (59.688) Prec@5 85.156 (81.109) Epoch: [38][730/10010] Time 0.319 (0.330) Data 0.000 (0.004) Loss 1.7122 (1.7776) Prec@1 62.500 (59.707) Prec@5 83.594 (81.140) Epoch: [38][740/10010] Time 0.320 (0.330) Data 0.000 (0.004) Loss 2.0218 (1.7770) Prec@1 60.938 (59.718) Prec@5 77.344 (81.149) Epoch: [38][750/10010] Time 0.318 (0.330) Data 0.001 (0.004) Loss 1.8727 (1.7776) Prec@1 62.500 (59.706) Prec@5 77.344 (81.133) Epoch: [38][760/10010] Time 0.340 (0.330) Data 0.001 (0.004) Loss 1.7603 (1.7786) Prec@1 57.812 (59.689) Prec@5 81.250 (81.118) Epoch: [38][770/10010] Time 0.309 (0.330) Data 0.001 (0.004) Loss 2.0373 (1.7797) Prec@1 55.469 (59.667) Prec@5 78.906 (81.098) Epoch: [38][780/10010] Time 0.334 (0.330) Data 0.001 (0.004) Loss 1.7074 (1.7789) Prec@1 63.281 (59.663) Prec@5 82.031 (81.128) Epoch: [38][790/10010] Time 0.321 (0.330) Data 0.000 (0.004) Loss 1.7521 (1.7796) Prec@1 60.938 (59.630) Prec@5 79.688 (81.119) Epoch: [38][800/10010] Time 0.327 (0.330) Data 0.001 (0.004) Loss 1.5318 (1.7796) Prec@1 64.062 (59.622) Prec@5 87.500 (81.128) Epoch: [38][810/10010] Time 0.332 (0.330) Data 0.000 (0.004) Loss 1.7133 (1.7794) Prec@1 62.500 (59.634) Prec@5 83.594 (81.136) Epoch: [38][820/10010] Time 0.312 (0.330) Data 0.001 (0.004) Loss 2.0025 (1.7796) Prec@1 54.688 (59.649) Prec@5 78.125 (81.131) Epoch: [38][830/10010] Time 0.341 (0.330) Data 0.000 (0.004) Loss 1.7330 (1.7796) Prec@1 58.594 (59.629) Prec@5 81.250 (81.128) Epoch: [38][840/10010] Time 0.320 (0.330) Data 0.001 (0.004) Loss 1.6522 (1.7794) Prec@1 59.375 (59.608) Prec@5 85.938 (81.149) Epoch: [38][850/10010] Time 0.314 (0.330) Data 0.000 (0.004) Loss 1.6914 (1.7792) Prec@1 58.594 (59.618) Prec@5 81.250 (81.164) Epoch: [38][860/10010] Time 0.331 (0.330) Data 0.000 (0.004) Loss 1.6791 (1.7787) Prec@1 57.812 (59.618) Prec@5 82.031 (81.172) Epoch: [38][870/10010] Time 0.317 (0.330) Data 0.001 (0.004) Loss 2.3810 (1.7794) Prec@1 48.438 (59.599) Prec@5 72.656 (81.158) Epoch: [38][880/10010] Time 0.316 (0.330) Data 0.001 (0.004) Loss 1.4365 (1.7786) Prec@1 64.844 (59.617) Prec@5 85.156 (81.161) Epoch: [38][890/10010] Time 0.322 (0.330) Data 0.001 (0.004) Loss 2.0057 (1.7790) Prec@1 57.031 (59.607) Prec@5 74.219 (81.147) Epoch: [38][900/10010] Time 0.326 (0.330) Data 0.001 (0.004) Loss 1.8489 (1.7796) Prec@1 60.156 (59.606) Prec@5 78.906 (81.142) Epoch: [38][910/10010] Time 0.335 (0.330) Data 0.001 (0.004) Loss 1.5672 (1.7786) Prec@1 62.500 (59.619) Prec@5 84.375 (81.158) Epoch: [38][920/10010] Time 0.340 (0.330) Data 0.001 (0.004) Loss 1.7289 (1.7786) Prec@1 54.688 (59.623) Prec@5 82.812 (81.169) Epoch: [38][930/10010] Time 0.322 (0.330) Data 0.000 (0.004) Loss 2.0434 (1.7796) Prec@1 53.906 (59.599) Prec@5 77.344 (81.153) Epoch: [38][940/10010] Time 0.336 (0.330) Data 0.001 (0.004) Loss 1.8218 (1.7799) Prec@1 58.594 (59.584) Prec@5 81.250 (81.141) Epoch: [38][950/10010] Time 0.342 (0.330) Data 0.001 (0.004) Loss 2.0248 (1.7793) Prec@1 53.906 (59.582) Prec@5 78.906 (81.159) Epoch: [38][960/10010] Time 0.321 (0.330) Data 0.001 (0.004) Loss 1.8586 (1.7795) Prec@1 54.688 (59.568) Prec@5 80.469 (81.170) Epoch: [38][970/10010] Time 0.328 (0.330) Data 0.000 (0.003) Loss 1.8065 (1.7793) Prec@1 57.031 (59.577) Prec@5 78.906 (81.176) Epoch: [38][980/10010] Time 0.324 (0.330) Data 0.000 (0.003) Loss 1.6245 (1.7796) Prec@1 63.281 (59.570) Prec@5 85.156 (81.162) Epoch: [38][990/10010] Time 0.328 (0.330) Data 0.000 (0.003) Loss 1.8792 (1.7803) Prec@1 56.250 (59.564) Prec@5 78.125 (81.140) Epoch: [38][1000/10010] Time 0.321 (0.330) Data 0.001 (0.003) Loss 1.6681 (1.7797) Prec@1 62.500 (59.568) Prec@5 81.250 (81.150) Epoch: [38][1010/10010] Time 0.315 (0.330) Data 0.000 (0.003) Loss 2.0704 (1.7801) Prec@1 60.156 (59.565) Prec@5 78.125 (81.142) Epoch: [38][1020/10010] Time 0.325 (0.330) Data 0.000 (0.003) Loss 1.7665 (1.7802) Prec@1 62.500 (59.575) Prec@5 84.375 (81.142) Epoch: [38][1030/10010] Time 0.319 (0.330) Data 0.001 (0.003) Loss 1.8803 (1.7802) Prec@1 58.594 (59.561) Prec@5 82.031 (81.149) Epoch: [38][1040/10010] Time 0.333 (0.330) Data 0.001 (0.003) Loss 1.6895 (1.7809) Prec@1 57.812 (59.554) Prec@5 83.594 (81.133) Epoch: [38][1050/10010] Time 0.311 (0.330) Data 0.001 (0.003) Loss 1.5881 (1.7811) Prec@1 67.969 (59.556) Prec@5 85.156 (81.133) Epoch: [38][1060/10010] Time 0.327 (0.330) Data 0.001 (0.003) Loss 1.6102 (1.7807) Prec@1 62.500 (59.565) Prec@5 82.031 (81.136) Epoch: [38][1070/10010] Time 0.339 (0.330) Data 0.001 (0.003) Loss 1.9359 (1.7808) Prec@1 57.031 (59.568) Prec@5 77.344 (81.121) Epoch: [38][1080/10010] Time 0.333 (0.330) Data 0.001 (0.003) Loss 1.9035 (1.7809) Prec@1 54.688 (59.580) Prec@5 80.469 (81.118) Epoch: [38][1090/10010] Time 0.327 (0.330) Data 0.000 (0.003) Loss 1.8587 (1.7807) Prec@1 57.031 (59.573) Prec@5 79.688 (81.120) Epoch: [38][1100/10010] Time 0.327 (0.330) Data 0.001 (0.003) Loss 1.7069 (1.7808) Prec@1 60.156 (59.575) Prec@5 86.719 (81.123) Epoch: [38][1110/10010] Time 0.318 (0.330) Data 0.001 (0.003) Loss 1.7603 (1.7803) Prec@1 64.844 (59.583) Prec@5 82.031 (81.133) Epoch: [38][1120/10010] Time 0.314 (0.329) Data 0.001 (0.003) Loss 1.8547 (1.7804) Prec@1 55.469 (59.565) Prec@5 83.594 (81.129) Epoch: [38][1130/10010] Time 0.338 (0.329) Data 0.001 (0.003) Loss 1.6445 (1.7797) Prec@1 62.500 (59.584) Prec@5 83.594 (81.148) Epoch: [38][1140/10010] Time 0.340 (0.329) Data 0.000 (0.003) Loss 1.3761 (1.7803) Prec@1 71.094 (59.578) Prec@5 87.500 (81.138) Epoch: [38][1150/10010] Time 0.325 (0.329) Data 0.000 (0.003) Loss 2.0121 (1.7803) Prec@1 55.469 (59.576) Prec@5 78.906 (81.136) Epoch: [38][1160/10010] Time 0.320 (0.329) Data 0.001 (0.003) Loss 1.8101 (1.7805) Prec@1 62.500 (59.566) Prec@5 82.812 (81.140) Epoch: [38][1170/10010] Time 0.322 (0.329) Data 0.000 (0.003) Loss 1.6538 (1.7801) Prec@1 61.719 (59.555) Prec@5 77.344 (81.146) Epoch: [38][1180/10010] Time 0.323 (0.329) Data 0.001 (0.003) Loss 1.9572 (1.7807) Prec@1 53.125 (59.545) Prec@5 79.688 (81.142) Epoch: [38][1190/10010] Time 0.310 (0.329) Data 0.000 (0.003) Loss 1.8541 (1.7808) Prec@1 53.125 (59.532) Prec@5 81.250 (81.132) Epoch: [38][1200/10010] Time 0.315 (0.329) Data 0.001 (0.003) Loss 1.8301 (1.7804) Prec@1 63.281 (59.556) Prec@5 82.031 (81.142) Epoch: [38][1210/10010] Time 0.311 (0.329) Data 0.001 (0.003) Loss 1.8689 (1.7808) Prec@1 57.812 (59.553) Prec@5 79.688 (81.131) Epoch: [38][1220/10010] Time 0.324 (0.329) Data 0.001 (0.003) Loss 1.7435 (1.7808) Prec@1 58.594 (59.554) Prec@5 82.031 (81.129) Epoch: [38][1230/10010] Time 0.326 (0.329) Data 0.000 (0.003) Loss 1.8455 (1.7807) Prec@1 57.031 (59.550) Prec@5 76.562 (81.133) Epoch: [38][1240/10010] Time 0.318 (0.329) Data 0.000 (0.003) Loss 1.6935 (1.7803) Prec@1 60.156 (59.554) Prec@5 85.156 (81.142) Epoch: [38][1250/10010] Time 0.329 (0.329) Data 0.001 (0.003) Loss 1.6633 (1.7803) Prec@1 61.719 (59.552) Prec@5 82.031 (81.127) Epoch: [38][1260/10010] Time 0.322 (0.329) Data 0.001 (0.003) Loss 1.5405 (1.7801) Prec@1 60.938 (59.554) Prec@5 83.594 (81.131) Epoch: [38][1270/10010] Time 0.333 (0.329) Data 0.001 (0.003) Loss 1.6541 (1.7803) Prec@1 60.156 (59.549) Prec@5 82.031 (81.133) Epoch: [38][1280/10010] Time 0.317 (0.329) Data 0.001 (0.003) Loss 1.4747 (1.7799) Prec@1 64.844 (59.544) Prec@5 84.375 (81.140) Epoch: [38][1290/10010] Time 0.328 (0.329) Data 0.001 (0.003) Loss 1.9908 (1.7815) Prec@1 56.250 (59.519) Prec@5 80.469 (81.124) Epoch: [38][1300/10010] Time 0.335 (0.329) Data 0.001 (0.003) Loss 1.9850 (1.7821) Prec@1 53.906 (59.513) Prec@5 75.781 (81.123) Epoch: [38][1310/10010] Time 0.337 (0.329) Data 0.000 (0.003) Loss 1.4718 (1.7817) Prec@1 62.500 (59.517) Prec@5 85.938 (81.127) Epoch: [38][1320/10010] Time 0.311 (0.329) Data 0.001 (0.003) Loss 1.9509 (1.7820) Prec@1 55.469 (59.506) Prec@5 77.344 (81.116) Epoch: [38][1330/10010] Time 0.337 (0.329) Data 0.001 (0.003) Loss 1.7967 (1.7826) Prec@1 61.719 (59.499) Prec@5 82.031 (81.104) Epoch: [38][1340/10010] Time 0.330 (0.329) Data 0.001 (0.003) Loss 1.7391 (1.7827) Prec@1 60.938 (59.496) Prec@5 84.375 (81.102) Epoch: [38][1350/10010] Time 0.324 (0.329) Data 0.001 (0.003) Loss 1.5225 (1.7822) Prec@1 63.281 (59.510) Prec@5 87.500 (81.111) Epoch: [38][1360/10010] Time 0.318 (0.329) Data 0.000 (0.003) Loss 1.9433 (1.7826) Prec@1 61.719 (59.506) Prec@5 82.031 (81.109) Epoch: [38][1370/10010] Time 0.341 (0.329) Data 0.001 (0.003) Loss 1.8332 (1.7826) Prec@1 53.906 (59.516) Prec@5 85.156 (81.118) Epoch: [38][1380/10010] Time 0.338 (0.329) Data 0.001 (0.003) Loss 1.5957 (1.7823) Prec@1 60.156 (59.514) Prec@5 83.594 (81.118) Epoch: [38][1390/10010] Time 0.313 (0.329) Data 0.001 (0.003) Loss 1.9897 (1.7821) Prec@1 56.250 (59.513) Prec@5 77.344 (81.124) Epoch: [38][1400/10010] Time 0.318 (0.329) Data 0.000 (0.003) Loss 1.9903 (1.7829) Prec@1 58.594 (59.494) Prec@5 78.125 (81.109) Epoch: [38][1410/10010] Time 0.323 (0.329) Data 0.000 (0.003) Loss 1.4545 (1.7825) Prec@1 67.969 (59.494) Prec@5 83.594 (81.105) Epoch: [38][1420/10010] Time 0.329 (0.329) Data 0.000 (0.003) Loss 2.0922 (1.7827) Prec@1 53.906 (59.493) Prec@5 78.125 (81.104) Epoch: [38][1430/10010] Time 0.315 (0.329) Data 0.001 (0.003) Loss 2.2900 (1.7826) Prec@1 54.688 (59.497) Prec@5 68.750 (81.105) Epoch: [38][1440/10010] Time 0.317 (0.329) Data 0.001 (0.003) Loss 1.8047 (1.7830) Prec@1 60.156 (59.489) Prec@5 83.594 (81.094) Epoch: [38][1450/10010] Time 0.316 (0.329) Data 0.001 (0.003) Loss 1.6997 (1.7830) Prec@1 60.938 (59.489) Prec@5 81.250 (81.098) Epoch: [38][1460/10010] Time 0.321 (0.329) Data 0.001 (0.003) Loss 1.6625 (1.7829) Prec@1 62.500 (59.488) Prec@5 84.375 (81.099) Epoch: [38][1470/10010] Time 0.319 (0.329) Data 0.001 (0.003) Loss 1.7596 (1.7835) Prec@1 56.250 (59.474) Prec@5 82.812 (81.094) Epoch: [38][1480/10010] Time 0.336 (0.329) Data 0.000 (0.003) Loss 1.6030 (1.7831) Prec@1 64.844 (59.481) Prec@5 85.938 (81.099) Epoch: [38][1490/10010] Time 0.321 (0.329) Data 0.001 (0.002) Loss 1.6903 (1.7831) Prec@1 59.375 (59.487) Prec@5 84.375 (81.105) Epoch: [38][1500/10010] Time 0.330 (0.329) Data 0.001 (0.002) Loss 2.0367 (1.7831) Prec@1 55.469 (59.480) Prec@5 77.344 (81.107) Epoch: [38][1510/10010] Time 0.319 (0.329) Data 0.001 (0.002) Loss 1.7378 (1.7828) Prec@1 60.938 (59.483) Prec@5 77.344 (81.109) Epoch: [38][1520/10010] Time 0.338 (0.329) Data 0.000 (0.002) Loss 1.7889 (1.7828) Prec@1 59.375 (59.481) Prec@5 81.250 (81.114) Epoch: [38][1530/10010] Time 0.320 (0.329) Data 0.001 (0.002) Loss 1.9057 (1.7825) Prec@1 58.594 (59.483) Prec@5 76.562 (81.114) Epoch: [38][1540/10010] Time 0.324 (0.329) Data 0.001 (0.002) Loss 1.6985 (1.7820) Prec@1 64.844 (59.485) Prec@5 82.812 (81.127) Epoch: [38][1550/10010] Time 0.329 (0.329) Data 0.001 (0.002) Loss 1.6395 (1.7820) Prec@1 59.375 (59.476) Prec@5 84.375 (81.129) Epoch: [38][1560/10010] Time 0.319 (0.329) Data 0.001 (0.002) Loss 1.8509 (1.7816) Prec@1 53.906 (59.485) Prec@5 81.250 (81.133) Epoch: [38][1570/10010] Time 0.339 (0.329) Data 0.001 (0.002) Loss 1.8287 (1.7822) Prec@1 60.938 (59.481) Prec@5 79.688 (81.121) Epoch: [38][1580/10010] Time 0.336 (0.329) Data 0.001 (0.002) Loss 1.7256 (1.7823) Prec@1 65.625 (59.491) Prec@5 83.594 (81.124) Epoch: [38][1590/10010] Time 0.319 (0.329) Data 0.000 (0.002) Loss 2.0111 (1.7827) Prec@1 53.906 (59.492) Prec@5 76.562 (81.125) Epoch: [38][1600/10010] Time 0.324 (0.329) Data 0.000 (0.002) Loss 1.5344 (1.7825) Prec@1 69.531 (59.503) Prec@5 85.938 (81.124) Epoch: [38][1610/10010] Time 0.324 (0.329) Data 0.001 (0.002) Loss 1.7272 (1.7821) Prec@1 58.594 (59.501) Prec@5 82.812 (81.123) Epoch: [38][1620/10010] Time 0.319 (0.329) Data 0.001 (0.002) Loss 2.0102 (1.7821) Prec@1 53.906 (59.507) Prec@5 78.906 (81.124) Epoch: [38][1630/10010] Time 0.319 (0.329) Data 0.001 (0.002) Loss 1.7251 (1.7820) Prec@1 61.719 (59.515) Prec@5 78.125 (81.124) Epoch: [38][1640/10010] Time 0.330 (0.329) Data 0.001 (0.002) Loss 1.5404 (1.7823) Prec@1 66.406 (59.521) Prec@5 83.594 (81.118) Epoch: [38][1650/10010] Time 0.334 (0.329) Data 0.001 (0.002) Loss 2.0983 (1.7824) Prec@1 53.125 (59.511) Prec@5 79.688 (81.121) Epoch: [38][1660/10010] Time 0.332 (0.328) Data 0.000 (0.002) Loss 1.8950 (1.7821) Prec@1 59.375 (59.509) Prec@5 79.688 (81.129) Epoch: [38][1670/10010] Time 0.329 (0.328) Data 0.000 (0.002) Loss 1.6113 (1.7818) Prec@1 64.062 (59.516) Prec@5 89.844 (81.139) Epoch: [38][1680/10010] Time 0.327 (0.328) Data 0.001 (0.002) Loss 1.7274 (1.7817) Prec@1 58.594 (59.508) Prec@5 80.469 (81.142) Epoch: [38][1690/10010] Time 0.340 (0.328) Data 0.001 (0.002) Loss 2.0633 (1.7821) Prec@1 51.562 (59.501) Prec@5 78.906 (81.135) Epoch: [38][1700/10010] Time 0.316 (0.328) Data 0.001 (0.002) Loss 1.6916 (1.7823) Prec@1 62.500 (59.493) Prec@5 81.250 (81.133) Epoch: [38][1710/10010] Time 0.336 (0.328) Data 0.001 (0.002) Loss 1.8396 (1.7826) Prec@1 60.938 (59.484) Prec@5 80.469 (81.129) Epoch: [38][1720/10010] Time 0.318 (0.328) Data 0.000 (0.002) Loss 1.7620 (1.7827) Prec@1 58.594 (59.473) Prec@5 81.250 (81.134) Epoch: [38][1730/10010] Time 0.332 (0.328) Data 0.001 (0.002) Loss 1.6264 (1.7829) Prec@1 62.500 (59.470) Prec@5 84.375 (81.130) Epoch: [38][1740/10010] Time 0.317 (0.328) Data 0.001 (0.002) Loss 1.7347 (1.7828) Prec@1 60.938 (59.474) Prec@5 82.031 (81.136) Epoch: [38][1750/10010] Time 0.338 (0.328) Data 0.001 (0.002) Loss 1.8596 (1.7826) Prec@1 59.375 (59.467) Prec@5 83.594 (81.131) Epoch: [38][1760/10010] Time 0.335 (0.328) Data 0.001 (0.002) Loss 1.9224 (1.7821) Prec@1 63.281 (59.476) Prec@5 80.469 (81.139) Epoch: [38][1770/10010] Time 0.318 (0.328) Data 0.001 (0.002) Loss 1.6573 (1.7822) Prec@1 59.375 (59.470) Prec@5 86.719 (81.144) Epoch: [38][1780/10010] Time 0.339 (0.328) Data 0.001 (0.002) Loss 1.7866 (1.7824) Prec@1 58.594 (59.466) Prec@5 83.594 (81.143) Epoch: [38][1790/10010] Time 0.321 (0.328) Data 0.001 (0.002) Loss 1.6518 (1.7824) Prec@1 63.281 (59.460) Prec@5 83.594 (81.141) Epoch: [38][1800/10010] Time 0.322 (0.328) Data 0.001 (0.002) Loss 1.7504 (1.7824) Prec@1 61.719 (59.462) Prec@5 82.031 (81.142) Epoch: [38][1810/10010] Time 0.317 (0.328) Data 0.000 (0.002) Loss 1.7174 (1.7819) Prec@1 64.062 (59.476) Prec@5 82.812 (81.153) Epoch: [38][1820/10010] Time 0.315 (0.328) Data 0.000 (0.002) Loss 1.8552 (1.7821) Prec@1 62.500 (59.475) Prec@5 82.812 (81.150) Epoch: [38][1830/10010] Time 0.317 (0.328) Data 0.001 (0.002) Loss 1.6753 (1.7825) Prec@1 61.719 (59.471) Prec@5 84.375 (81.143) Epoch: [38][1840/10010] Time 0.317 (0.328) Data 0.000 (0.002) Loss 1.5253 (1.7826) Prec@1 65.625 (59.471) Prec@5 84.375 (81.142) Epoch: [38][1850/10010] Time 0.335 (0.328) Data 0.000 (0.002) Loss 1.8271 (1.7831) Prec@1 57.031 (59.472) Prec@5 81.250 (81.131) Epoch: [38][1860/10010] Time 0.338 (0.328) Data 0.001 (0.002) Loss 2.0836 (1.7837) Prec@1 51.562 (59.447) Prec@5 76.562 (81.126) Epoch: [38][1870/10010] Time 0.325 (0.328) Data 0.001 (0.002) Loss 1.5922 (1.7837) Prec@1 58.594 (59.442) Prec@5 85.156 (81.126) Epoch: [38][1880/10010] Time 0.337 (0.328) Data 0.000 (0.002) Loss 1.8708 (1.7840) Prec@1 60.156 (59.436) Prec@5 77.344 (81.125) Epoch: [38][1890/10010] Time 0.332 (0.328) Data 0.000 (0.002) Loss 1.8206 (1.7841) Prec@1 60.156 (59.437) Prec@5 78.125 (81.125) Epoch: [38][1900/10010] Time 0.320 (0.328) Data 0.000 (0.002) Loss 1.8682 (1.7846) Prec@1 55.469 (59.433) Prec@5 82.812 (81.120) Epoch: [38][1910/10010] Time 0.331 (0.328) Data 0.001 (0.002) Loss 1.7261 (1.7846) Prec@1 62.500 (59.433) Prec@5 82.031 (81.119) Epoch: [38][1920/10010] Time 0.314 (0.328) Data 0.001 (0.002) Loss 1.8017 (1.7845) Prec@1 57.031 (59.438) Prec@5 80.469 (81.118) Epoch: [38][1930/10010] Time 0.338 (0.328) Data 0.000 (0.002) Loss 1.5338 (1.7844) Prec@1 64.844 (59.445) Prec@5 85.156 (81.126) Epoch: [38][1940/10010] Time 0.337 (0.328) Data 0.000 (0.002) Loss 1.7494 (1.7844) Prec@1 57.812 (59.451) Prec@5 83.594 (81.127) Epoch: [38][1950/10010] Time 0.326 (0.328) Data 0.001 (0.002) Loss 1.4901 (1.7848) Prec@1 64.844 (59.446) Prec@5 86.719 (81.122) /data/vision/torralba/deepscene/lib/anaconda2/lib/python2.7/site-packages/PIL/TiffImagePlugin.py:692: UserWarning: Possibly corrupt EXIF data. Expecting to read 2555904 bytes but only got 0. Skipping tag 0 "Skipping tag %s" % (size, len(data), tag)) Epoch: [38][1960/10010] Time 0.339 (0.328) Data 0.000 (0.002) Loss 1.8731 (1.7854) Prec@1 57.031 (59.435) Prec@5 79.688 (81.109) Epoch: [38][1970/10010] Time 0.329 (0.328) Data 0.000 (0.002) Loss 1.7918 (1.7856) Prec@1 61.719 (59.432) Prec@5 79.688 (81.105) Epoch: [38][1980/10010] Time 0.325 (0.328) Data 0.001 (0.002) Loss 1.5605 (1.7855) Prec@1 58.594 (59.433) Prec@5 87.500 (81.104) Epoch: [38][1990/10010] Time 0.313 (0.328) Data 0.001 (0.002) Loss 1.9715 (1.7855) Prec@1 52.344 (59.429) Prec@5 77.344 (81.103) Epoch: [38][2000/10010] Time 0.334 (0.328) Data 0.000 (0.002) Loss 2.2844 (1.7857) Prec@1 46.875 (59.420) Prec@5 74.219 (81.099) Epoch: [38][2010/10010] Time 0.326 (0.328) Data 0.001 (0.002) Loss 1.8499 (1.7855) Prec@1 59.375 (59.421) Prec@5 78.125 (81.100) Epoch: [38][2020/10010] Time 0.325 (0.328) Data 0.000 (0.002) Loss 1.9112 (1.7854) Prec@1 58.594 (59.415) Prec@5 75.000 (81.099) Epoch: [38][2030/10010] Time 0.339 (0.328) Data 0.001 (0.002) Loss 1.5020 (1.7853) Prec@1 66.406 (59.414) Prec@5 83.594 (81.102) Epoch: [38][2040/10010] Time 0.331 (0.328) Data 0.000 (0.002) Loss 1.6945 (1.7852) Prec@1 59.375 (59.413) Prec@5 82.031 (81.103) Epoch: [38][2050/10010] Time 0.323 (0.328) Data 0.001 (0.002) Loss 1.5887 (1.7850) Prec@1 60.938 (59.410) Prec@5 82.031 (81.103) Epoch: [38][2060/10010] Time 0.337 (0.328) Data 0.001 (0.002) Loss 1.6367 (1.7846) Prec@1 60.938 (59.416) Prec@5 82.031 (81.108) Epoch: [38][2070/10010] Time 0.317 (0.328) Data 0.001 (0.002) Loss 1.7406 (1.7846) Prec@1 59.375 (59.414) Prec@5 85.938 (81.106) Epoch: [38][2080/10010] Time 0.339 (0.328) Data 0.001 (0.002) Loss 1.8446 (1.7844) Prec@1 58.594 (59.417) Prec@5 80.469 (81.109) Epoch: [38][2090/10010] Time 0.315 (0.328) Data 0.001 (0.002) Loss 2.2472 (1.7846) Prec@1 51.562 (59.413) Prec@5 70.312 (81.104) Epoch: [38][2100/10010] Time 0.314 (0.328) Data 0.001 (0.002) Loss 1.5681 (1.7844) Prec@1 63.281 (59.413) Prec@5 82.812 (81.106) Epoch: [38][2110/10010] Time 0.327 (0.328) Data 0.000 (0.002) Loss 1.6038 (1.7843) Prec@1 61.719 (59.422) Prec@5 80.469 (81.110) Epoch: [38][2120/10010] Time 0.320 (0.328) Data 0.001 (0.002) Loss 1.8370 (1.7840) Prec@1 62.500 (59.428) Prec@5 82.812 (81.115) Epoch: [38][2130/10010] Time 0.339 (0.328) Data 0.000 (0.002) Loss 1.7434 (1.7839) Prec@1 60.156 (59.419) Prec@5 82.031 (81.114) Epoch: [38][2140/10010] Time 0.339 (0.328) Data 0.001 (0.002) Loss 1.7225 (1.7836) Prec@1 56.250 (59.429) Prec@5 80.469 (81.125) Epoch: [38][2150/10010] Time 0.320 (0.328) Data 0.001 (0.002) Loss 2.0608 (1.7839) Prec@1 52.344 (59.420) Prec@5 78.906 (81.118) Epoch: [38][2160/10010] Time 0.316 (0.328) Data 0.001 (0.002) Loss 1.5761 (1.7839) Prec@1 65.625 (59.421) Prec@5 80.469 (81.115) Epoch: [38][2170/10010] Time 0.322 (0.328) Data 0.001 (0.002) Loss 1.8384 (1.7839) Prec@1 59.375 (59.413) Prec@5 81.250 (81.114) Epoch: [38][2180/10010] Time 0.334 (0.328) Data 0.001 (0.002) Loss 2.1236 (1.7841) Prec@1 53.125 (59.417) Prec@5 76.562 (81.111) Epoch: [38][2190/10010] Time 0.331 (0.328) Data 0.001 (0.002) Loss 2.0936 (1.7846) Prec@1 57.812 (59.407) Prec@5 77.344 (81.101) Epoch: [38][2200/10010] Time 0.319 (0.328) Data 0.001 (0.002) Loss 1.8968 (1.7848) Prec@1 56.250 (59.399) Prec@5 81.250 (81.099) Epoch: [38][2210/10010] Time 0.338 (0.328) Data 0.000 (0.002) Loss 1.8055 (1.7847) Prec@1 55.469 (59.404) Prec@5 82.812 (81.103) Epoch: [38][2220/10010] Time 0.318 (0.328) Data 0.000 (0.002) Loss 1.6604 (1.7850) Prec@1 63.281 (59.395) Prec@5 85.156 (81.099) Epoch: [38][2230/10010] Time 0.333 (0.328) Data 0.001 (0.002) Loss 1.7709 (1.7854) Prec@1 62.500 (59.386) Prec@5 84.375 (81.092) Epoch: [38][2240/10010] Time 0.322 (0.328) Data 0.000 (0.002) Loss 1.6147 (1.7858) Prec@1 67.188 (59.386) Prec@5 82.812 (81.085) Epoch: [38][2250/10010] Time 0.329 (0.328) Data 0.001 (0.002) Loss 1.6120 (1.7856) Prec@1 61.719 (59.382) Prec@5 84.375 (81.090) Epoch: [38][2260/10010] Time 0.341 (0.328) Data 0.000 (0.002) Loss 1.8642 (1.7861) Prec@1 57.031 (59.373) Prec@5 78.906 (81.089) Epoch: [38][2270/10010] Time 0.324 (0.328) Data 0.001 (0.002) Loss 1.3510 (1.7859) Prec@1 70.312 (59.376) Prec@5 84.375 (81.089) Epoch: [38][2280/10010] Time 0.337 (0.328) Data 0.000 (0.002) Loss 1.5934 (1.7859) Prec@1 61.719 (59.374) Prec@5 86.719 (81.087) Epoch: [38][2290/10010] Time 0.331 (0.328) Data 0.001 (0.002) Loss 1.4317 (1.7858) Prec@1 67.188 (59.372) Prec@5 85.156 (81.092) Epoch: [38][2300/10010] Time 0.336 (0.328) Data 0.001 (0.002) Loss 1.8243 (1.7859) Prec@1 59.375 (59.375) Prec@5 82.812 (81.095) Epoch: [38][2310/10010] Time 0.311 (0.328) Data 0.001 (0.002) Loss 1.7708 (1.7860) Prec@1 63.281 (59.377) Prec@5 80.469 (81.095) Epoch: [38][2320/10010] Time 0.330 (0.328) Data 0.001 (0.002) Loss 1.8316 (1.7863) Prec@1 58.594 (59.374) Prec@5 80.469 (81.094) Epoch: [38][2330/10010] Time 0.322 (0.328) Data 0.001 (0.002) Loss 1.9083 (1.7862) Prec@1 59.375 (59.370) Prec@5 78.906 (81.101) Epoch: [38][2340/10010] Time 0.337 (0.328) Data 0.001 (0.002) Loss 1.9855 (1.7860) Prec@1 59.375 (59.381) Prec@5 77.344 (81.107) Epoch: [38][2350/10010] Time 0.320 (0.328) Data 0.001 (0.002) Loss 1.5020 (1.7859) Prec@1 63.281 (59.381) Prec@5 86.719 (81.111) Epoch: [38][2360/10010] Time 0.316 (0.328) Data 0.001 (0.002) Loss 1.8157 (1.7860) Prec@1 59.375 (59.375) Prec@5 80.469 (81.104) Epoch: [38][2370/10010] Time 0.332 (0.328) Data 0.001 (0.002) Loss 1.7433 (1.7860) Prec@1 60.156 (59.377) Prec@5 81.250 (81.105) Epoch: [38][2380/10010] Time 0.312 (0.328) Data 0.000 (0.002) Loss 1.6894 (1.7858) Prec@1 59.375 (59.374) Prec@5 86.719 (81.113) Epoch: [38][2390/10010] Time 0.320 (0.328) Data 0.001 (0.002) Loss 1.7246 (1.7855) Prec@1 58.594 (59.377) Prec@5 79.688 (81.114) Epoch: [38][2400/10010] Time 0.324 (0.328) Data 0.001 (0.002) Loss 1.6713 (1.7853) Prec@1 61.719 (59.378) Prec@5 82.812 (81.118) Epoch: [38][2410/10010] Time 0.323 (0.328) Data 0.001 (0.002) Loss 1.6031 (1.7851) Prec@1 60.156 (59.379) Prec@5 83.594 (81.125) Epoch: [38][2420/10010] Time 0.323 (0.328) Data 0.001 (0.002) Loss 1.8804 (1.7849) Prec@1 59.375 (59.385) Prec@5 76.562 (81.126) Epoch: [38][2430/10010] Time 0.324 (0.328) Data 0.001 (0.002) Loss 1.8156 (1.7848) Prec@1 55.469 (59.390) Prec@5 77.344 (81.127) Epoch: [38][2440/10010] Time 0.321 (0.328) Data 0.001 (0.002) Loss 1.6894 (1.7849) Prec@1 61.719 (59.392) Prec@5 82.031 (81.123) Epoch: [38][2450/10010] Time 0.318 (0.328) Data 0.001 (0.002) Loss 1.9369 (1.7852) Prec@1 55.469 (59.384) Prec@5 82.031 (81.123) Epoch: [38][2460/10010] Time 0.315 (0.328) Data 0.001 (0.002) Loss 2.1753 (1.7855) Prec@1 57.031 (59.374) Prec@5 79.688 (81.122) Epoch: [38][2470/10010] Time 0.334 (0.328) Data 0.002 (0.002) Loss 2.0609 (1.7855) Prec@1 55.469 (59.374) Prec@5 78.125 (81.120) Epoch: [38][2480/10010] Time 0.324 (0.328) Data 0.001 (0.002) Loss 1.7363 (1.7856) Prec@1 61.719 (59.374) Prec@5 82.812 (81.120) Epoch: [38][2490/10010] Time 0.333 (0.328) Data 0.001 (0.002) Loss 1.9136 (1.7854) Prec@1 57.031 (59.380) Prec@5 77.344 (81.123) Epoch: [38][2500/10010] Time 0.318 (0.328) Data 0.000 (0.002) Loss 2.0440 (1.7853) Prec@1 56.250 (59.380) Prec@5 78.125 (81.125) Epoch: [38][2510/10010] Time 0.317 (0.328) Data 0.001 (0.002) Loss 1.5021 (1.7851) Prec@1 69.531 (59.384) Prec@5 85.156 (81.126) Epoch: [38][2520/10010] Time 0.325 (0.328) Data 0.000 (0.002) Loss 1.8251 (1.7848) Prec@1 55.469 (59.387) Prec@5 78.125 (81.128) Epoch: [38][2530/10010] Time 0.310 (0.328) Data 0.001 (0.002) Loss 1.7325 (1.7851) Prec@1 64.844 (59.384) Prec@5 82.031 (81.122) Epoch: [38][2540/10010] Time 0.321 (0.328) Data 0.000 (0.002) Loss 1.8356 (1.7849) Prec@1 60.938 (59.385) Prec@5 82.031 (81.127) Epoch: [38][2550/10010] Time 0.318 (0.328) Data 0.001 (0.002) Loss 1.7205 (1.7847) Prec@1 60.938 (59.392) Prec@5 82.812 (81.133) Epoch: [38][2560/10010] Time 0.334 (0.328) Data 0.001 (0.002) Loss 2.1545 (1.7846) Prec@1 58.594 (59.398) Prec@5 74.219 (81.136) /data/vision/torralba/deepscene/lib/anaconda2/lib/python2.7/site-packages/PIL/TiffImagePlugin.py:692: UserWarning: Possibly corrupt EXIF data. Expecting to read 2555904 bytes but only got 0. Skipping tag 0 "Skipping tag %s" % (size, len(data), tag)) Epoch: [38][2570/10010] Time 0.318 (0.328) Data 0.000 (0.002) Loss 1.8242 (1.7847) Prec@1 58.594 (59.396) Prec@5 78.125 (81.128) Epoch: [38][2580/10010] Time 0.332 (0.328) Data 0.000 (0.002) Loss 1.7821 (1.7850) Prec@1 60.156 (59.393) Prec@5 83.594 (81.124) Epoch: [38][2590/10010] Time 0.322 (0.328) Data 0.001 (0.002) Loss 2.0271 (1.7851) Prec@1 53.906 (59.386) Prec@5 75.781 (81.124) Epoch: [38][2600/10010] Time 0.316 (0.328) Data 0.001 (0.002) Loss 1.7262 (1.7853) Prec@1 60.938 (59.380) Prec@5 82.812 (81.121) Epoch: [38][2610/10010] Time 0.333 (0.328) Data 0.001 (0.002) Loss 1.7796 (1.7855) Prec@1 59.375 (59.380) Prec@5 81.250 (81.113) Epoch: [38][2620/10010] Time 0.335 (0.328) Data 0.000 (0.002) Loss 1.9031 (1.7857) Prec@1 53.906 (59.376) Prec@5 79.688 (81.103) Epoch: [38][2630/10010] Time 0.324 (0.328) Data 0.001 (0.002) Loss 1.8688 (1.7858) Prec@1 55.469 (59.379) Prec@5 82.812 (81.105) Epoch: [38][2640/10010] Time 0.326 (0.328) Data 0.001 (0.002) Loss 1.8216 (1.7860) Prec@1 57.812 (59.379) Prec@5 79.688 (81.100) Epoch: [38][2650/10010] Time 0.339 (0.328) Data 0.001 (0.002) Loss 1.7025 (1.7865) Prec@1 53.125 (59.365) Prec@5 86.719 (81.093) Epoch: [38][2660/10010] Time 0.318 (0.328) Data 0.000 (0.002) Loss 1.6960 (1.7865) Prec@1 62.500 (59.373) Prec@5 80.469 (81.090) Epoch: [38][2670/10010] Time 0.321 (0.328) Data 0.001 (0.002) Loss 1.8558 (1.7869) Prec@1 57.031 (59.365) Prec@5 80.469 (81.084) Epoch: [38][2680/10010] Time 0.325 (0.328) Data 0.001 (0.002) Loss 1.8221 (1.7868) Prec@1 58.594 (59.364) Prec@5 80.469 (81.083) Epoch: [38][2690/10010] Time 0.328 (0.328) Data 0.001 (0.002) Loss 1.6597 (1.7872) Prec@1 57.031 (59.352) Prec@5 85.156 (81.079) Epoch: [38][2700/10010] Time 0.314 (0.328) Data 0.000 (0.002) Loss 1.4451 (1.7869) Prec@1 67.969 (59.361) Prec@5 85.938 (81.080) Epoch: [38][2710/10010] Time 0.315 (0.328) Data 0.001 (0.002) Loss 1.3079 (1.7869) Prec@1 73.438 (59.365) Prec@5 83.594 (81.082) Epoch: [38][2720/10010] Time 0.319 (0.328) Data 0.000 (0.002) Loss 2.0313 (1.7866) Prec@1 57.031 (59.367) Prec@5 75.000 (81.088) Epoch: [38][2730/10010] Time 0.318 (0.328) Data 0.001 (0.002) Loss 1.8953 (1.7868) Prec@1 58.594 (59.361) Prec@5 75.000 (81.082) Epoch: [38][2740/10010] Time 0.338 (0.328) Data 0.000 (0.002) Loss 1.8760 (1.7872) Prec@1 57.031 (59.357) Prec@5 81.250 (81.075) Epoch: [38][2750/10010] Time 0.325 (0.328) Data 0.000 (0.002) Loss 2.0491 (1.7873) Prec@1 57.812 (59.349) Prec@5 75.781 (81.074) Epoch: [38][2760/10010] Time 0.317 (0.328) Data 0.001 (0.002) Loss 1.8409 (1.7878) Prec@1 57.031 (59.336) Prec@5 80.469 (81.066) Epoch: [38][2770/10010] Time 0.318 (0.328) Data 0.001 (0.002) Loss 1.7454 (1.7878) Prec@1 56.250 (59.334) Prec@5 82.031 (81.068) Epoch: [38][2780/10010] Time 0.335 (0.328) Data 0.001 (0.002) Loss 2.2178 (1.7882) Prec@1 53.906 (59.324) Prec@5 74.219 (81.063) Epoch: [38][2790/10010] Time 0.319 (0.328) Data 0.001 (0.002) Loss 1.9654 (1.7886) Prec@1 54.688 (59.315) Prec@5 83.594 (81.056) Epoch: [38][2800/10010] Time 0.321 (0.328) Data 0.000 (0.002) Loss 1.6376 (1.7887) Prec@1 60.156 (59.314) Prec@5 85.938 (81.060) Epoch: [38][2810/10010] Time 0.326 (0.328) Data 0.006 (0.002) Loss 1.9249 (1.7887) Prec@1 55.469 (59.316) Prec@5 80.469 (81.059) Epoch: [38][2820/10010] Time 0.326 (0.328) Data 0.001 (0.002) Loss 1.9124 (1.7889) Prec@1 59.375 (59.308) Prec@5 80.469 (81.055) Epoch: [38][2830/10010] Time 0.312 (0.327) Data 0.001 (0.002) Loss 1.9698 (1.7891) Prec@1 48.438 (59.300) Prec@5 82.031 (81.053) Epoch: [38][2840/10010] Time 0.319 (0.327) Data 0.001 (0.002) Loss 1.6389 (1.7890) Prec@1 64.844 (59.303) Prec@5 82.031 (81.051) Epoch: [38][2850/10010] Time 0.321 (0.327) Data 0.001 (0.002) Loss 1.6343 (1.7890) Prec@1 59.375 (59.305) Prec@5 82.812 (81.050) Epoch: [38][2860/10010] Time 0.335 (0.327) Data 0.001 (0.002) Loss 1.7906 (1.7889) Prec@1 60.938 (59.307) Prec@5 79.688 (81.050) Epoch: [38][2870/10010] Time 0.323 (0.327) Data 0.000 (0.002) Loss 1.5494 (1.7889) Prec@1 64.844 (59.307) Prec@5 82.812 (81.050) Epoch: [38][2880/10010] Time 0.321 (0.327) Data 0.001 (0.002) Loss 1.9364 (1.7895) Prec@1 57.812 (59.299) Prec@5 80.469 (81.040) Epoch: [38][2890/10010] Time 0.331 (0.327) Data 0.001 (0.002) Loss 1.7780 (1.7895) Prec@1 60.156 (59.303) Prec@5 82.812 (81.038) Epoch: [38][2900/10010] Time 0.324 (0.327) Data 0.001 (0.002) Loss 1.8737 (1.7895) Prec@1 54.688 (59.302) Prec@5 79.688 (81.037) Epoch: [38][2910/10010] Time 0.317 (0.327) Data 0.000 (0.002) Loss 1.7893 (1.7896) Prec@1 58.594 (59.298) Prec@5 78.906 (81.033) Epoch: [38][2920/10010] Time 0.331 (0.327) Data 0.000 (0.002) Loss 1.7966 (1.7895) Prec@1 56.250 (59.303) Prec@5 78.906 (81.035) Epoch: [38][2930/10010] Time 0.338 (0.327) Data 0.001 (0.002) Loss 2.2295 (1.7901) Prec@1 50.000 (59.294) Prec@5 72.656 (81.025) Epoch: [38][2940/10010] Time 0.335 (0.327) Data 0.000 (0.002) Loss 2.1697 (1.7900) Prec@1 50.781 (59.296) Prec@5 74.219 (81.029) Epoch: [38][2950/10010] Time 0.320 (0.327) Data 0.000 (0.002) Loss 1.4459 (1.7898) Prec@1 67.188 (59.296) Prec@5 82.031 (81.029) Epoch: [38][2960/10010] Time 0.326 (0.327) Data 0.001 (0.002) Loss 1.9538 (1.7899) Prec@1 53.125 (59.291) Prec@5 78.906 (81.030) Epoch: [38][2970/10010] Time 0.333 (0.327) Data 0.001 (0.002) Loss 1.6934 (1.7899) Prec@1 57.812 (59.287) Prec@5 82.812 (81.030) Epoch: [38][2980/10010] Time 0.332 (0.327) Data 0.001 (0.002) Loss 2.0022 (1.7902) Prec@1 58.594 (59.285) Prec@5 81.250 (81.027) Epoch: [38][2990/10010] Time 0.319 (0.327) Data 0.001 (0.002) Loss 1.7397 (1.7901) Prec@1 54.688 (59.287) Prec@5 82.031 (81.029) Epoch: [38][3000/10010] Time 0.324 (0.327) Data 0.000 (0.002) Loss 1.8684 (1.7901) Prec@1 63.281 (59.288) Prec@5 78.906 (81.026) Epoch: [38][3010/10010] Time 0.337 (0.327) Data 0.001 (0.002) Loss 1.8551 (1.7902) Prec@1 51.562 (59.288) Prec@5 81.250 (81.023) Epoch: [38][3020/10010] Time 0.339 (0.327) Data 0.000 (0.002) Loss 1.5316 (1.7902) Prec@1 63.281 (59.288) Prec@5 82.031 (81.022) Epoch: [38][3030/10010] Time 0.325 (0.327) Data 0.001 (0.002) Loss 1.5929 (1.7906) Prec@1 63.281 (59.285) Prec@5 83.594 (81.018) Epoch: [38][3040/10010] Time 0.333 (0.327) Data 0.000 (0.002) Loss 1.6781 (1.7909) Prec@1 58.594 (59.281) Prec@5 81.250 (81.012) Epoch: [38][3050/10010] Time 0.319 (0.327) Data 0.001 (0.002) Loss 2.0611 (1.7913) Prec@1 49.219 (59.275) Prec@5 73.438 (81.008) Epoch: [38][3060/10010] Time 0.317 (0.327) Data 0.001 (0.002) Loss 1.8383 (1.7917) Prec@1 53.906 (59.263) Prec@5 82.031 (80.999) Epoch: [38][3070/10010] Time 0.338 (0.327) Data 0.001 (0.002) Loss 1.5658 (1.7915) Prec@1 61.719 (59.267) Prec@5 85.156 (81.004) Epoch: [38][3080/10010] Time 0.338 (0.327) Data 0.001 (0.002) Loss 1.6842 (1.7914) Prec@1 61.719 (59.265) Prec@5 81.250 (81.007) Epoch: [38][3090/10010] Time 0.339 (0.327) Data 0.000 (0.002) Loss 1.7761 (1.7915) Prec@1 61.719 (59.263) Prec@5 81.250 (81.003) Epoch: [38][3100/10010] Time 0.337 (0.327) Data 0.001 (0.002) Loss 1.9624 (1.7915) Prec@1 52.344 (59.261) Prec@5 78.125 (81.004) Epoch: [38][3110/10010] Time 0.321 (0.327) Data 0.001 (0.002) Loss 1.8075 (1.7916) Prec@1 61.719 (59.259) Prec@5 78.906 (81.001) Epoch: [38][3120/10010] Time 0.320 (0.327) Data 0.000 (0.002) Loss 1.6295 (1.7915) Prec@1 60.156 (59.263) Prec@5 85.938 (81.004) Epoch: [38][3130/10010] Time 0.321 (0.327) Data 0.001 (0.002) Loss 1.6202 (1.7918) Prec@1 62.500 (59.255) Prec@5 83.594 (81.000) Epoch: [38][3140/10010] Time 0.325 (0.327) Data 0.001 (0.002) Loss 1.9101 (1.7918) Prec@1 57.812 (59.256) Prec@5 79.688 (81.002) Epoch: [38][3150/10010] Time 0.337 (0.327) Data 0.001 (0.002) Loss 1.8339 (1.7916) Prec@1 57.031 (59.263) Prec@5 80.469 (81.003) Epoch: [38][3160/10010] Time 0.329 (0.328) Data 0.001 (0.002) Loss 1.7785 (1.7918) Prec@1 60.156 (59.259) Prec@5 81.250 (80.996) Epoch: [38][3170/10010] Time 0.318 (0.327) Data 0.001 (0.002) Loss 1.8979 (1.7920) Prec@1 58.594 (59.258) Prec@5 82.031 (80.995) Epoch: [38][3180/10010] Time 0.339 (0.328) Data 0.000 (0.002) Loss 1.8925 (1.7923) Prec@1 57.031 (59.251) Prec@5 82.031 (80.993) Epoch: [38][3190/10010] Time 0.336 (0.328) Data 0.000 (0.002) Loss 2.0698 (1.7923) Prec@1 54.688 (59.249) Prec@5 78.906 (80.991) Epoch: [38][3200/10010] Time 0.314 (0.328) Data 0.001 (0.002) Loss 1.7964 (1.7925) Prec@1 57.812 (59.248) Prec@5 83.594 (80.993) Epoch: [38][3210/10010] Time 0.333 (0.328) Data 0.001 (0.002) Loss 1.9024 (1.7927) Prec@1 58.594 (59.248) Prec@5 81.250 (80.992) Epoch: [38][3220/10010] Time 0.318 (0.328) Data 0.001 (0.002) Loss 2.0088 (1.7930) Prec@1 56.250 (59.242) Prec@5 75.781 (80.987) Epoch: [38][3230/10010] Time 0.339 (0.328) Data 0.001 (0.001) Loss 1.7164 (1.7930) Prec@1 60.156 (59.238) Prec@5 82.031 (80.983) Epoch: [38][3240/10010] Time 0.321 (0.328) Data 0.001 (0.001) Loss 1.9831 (1.7931) Prec@1 57.031 (59.234) Prec@5 78.906 (80.984) Epoch: [38][3250/10010] Time 0.319 (0.328) Data 0.000 (0.001) Loss 1.8344 (1.7931) Prec@1 58.594 (59.235) Prec@5 77.344 (80.984) Epoch: [38][3260/10010] Time 0.316 (0.328) Data 0.001 (0.001) Loss 1.7814 (1.7930) Prec@1 57.812 (59.236) Prec@5 82.031 (80.989) Epoch: [38][3270/10010] Time 0.337 (0.328) Data 0.001 (0.001) Loss 2.0258 (1.7930) Prec@1 61.719 (59.236) Prec@5 76.562 (80.986) Epoch: [38][3280/10010] Time 0.322 (0.328) Data 0.000 (0.001) Loss 1.5981 (1.7930) Prec@1 64.844 (59.237) Prec@5 85.938 (80.987) Epoch: [38][3290/10010] Time 0.318 (0.328) Data 0.001 (0.001) Loss 1.4544 (1.7928) Prec@1 64.844 (59.247) Prec@5 88.281 (80.989) Epoch: [38][3300/10010] Time 0.322 (0.328) Data 0.000 (0.001) Loss 1.7271 (1.7928) Prec@1 62.500 (59.248) Prec@5 81.250 (80.987) Epoch: [38][3310/10010] Time 0.312 (0.328) Data 0.001 (0.001) Loss 1.9274 (1.7931) Prec@1 56.250 (59.243) Prec@5 82.031 (80.985) Epoch: [38][3320/10010] Time 0.319 (0.328) Data 0.000 (0.001) Loss 1.7585 (1.7929) Prec@1 60.938 (59.247) Prec@5 81.250 (80.985) Epoch: [38][3330/10010] Time 0.318 (0.328) Data 0.001 (0.001) Loss 1.6811 (1.7928) Prec@1 59.375 (59.241) Prec@5 82.812 (80.984) Epoch: [38][3340/10010] Time 0.324 (0.328) Data 0.001 (0.001) Loss 1.9376 (1.7929) Prec@1 58.594 (59.242) Prec@5 77.344 (80.982) Epoch: [38][3350/10010] Time 0.313 (0.328) Data 0.000 (0.001) Loss 1.9050 (1.7932) Prec@1 53.125 (59.233) Prec@5 78.125 (80.975) Epoch: [38][3360/10010] Time 0.328 (0.327) Data 0.000 (0.001) Loss 1.8099 (1.7932) Prec@1 57.812 (59.231) Prec@5 82.812 (80.976) Epoch: [38][3370/10010] Time 0.318 (0.327) Data 0.001 (0.001) Loss 1.7497 (1.7936) Prec@1 60.156 (59.225) Prec@5 84.375 (80.969) Epoch: [38][3380/10010] Time 0.315 (0.327) Data 0.001 (0.001) Loss 1.4241 (1.7936) Prec@1 66.406 (59.225) Prec@5 87.500 (80.966) Epoch: [38][3390/10010] Time 0.339 (0.327) Data 0.000 (0.001) Loss 2.0419 (1.7937) Prec@1 55.469 (59.228) Prec@5 75.781 (80.966) Epoch: [38][3400/10010] Time 0.320 (0.327) Data 0.000 (0.001) Loss 1.6893 (1.7939) Prec@1 62.500 (59.226) Prec@5 81.250 (80.963) Epoch: [38][3410/10010] Time 0.319 (0.327) Data 0.000 (0.001) Loss 1.5506 (1.7938) Prec@1 64.062 (59.228) Prec@5 82.812 (80.962) Epoch: [38][3420/10010] Time 0.315 (0.327) Data 0.001 (0.001) Loss 1.9407 (1.7939) Prec@1 57.812 (59.229) Prec@5 78.125 (80.961) Epoch: [38][3430/10010] Time 0.324 (0.327) Data 0.000 (0.001) Loss 1.8047 (1.7942) Prec@1 60.938 (59.222) Prec@5 82.031 (80.957) Epoch: [38][3440/10010] Time 0.331 (0.327) Data 0.001 (0.001) Loss 2.1633 (1.7940) Prec@1 45.312 (59.224) Prec@5 78.125 (80.964) Epoch: [38][3450/10010] Time 0.334 (0.327) Data 0.001 (0.001) Loss 2.0581 (1.7940) Prec@1 50.781 (59.219) Prec@5 79.688 (80.966) Epoch: [38][3460/10010] Time 0.338 (0.327) Data 0.001 (0.001) Loss 1.7237 (1.7939) Prec@1 57.031 (59.219) Prec@5 82.812 (80.965) Epoch: [38][3470/10010] Time 0.327 (0.327) Data 0.001 (0.001) Loss 1.6781 (1.7938) Prec@1 60.156 (59.218) Prec@5 86.719 (80.964) Epoch: [38][3480/10010] Time 0.321 (0.327) Data 0.000 (0.001) Loss 1.6907 (1.7939) Prec@1 57.031 (59.209) Prec@5 82.812 (80.964) Epoch: [38][3490/10010] Time 0.338 (0.327) Data 0.000 (0.001) Loss 1.7000 (1.7940) Prec@1 59.375 (59.205) Prec@5 82.812 (80.964) Epoch: [38][3500/10010] Time 0.338 (0.327) Data 0.001 (0.001) Loss 2.0485 (1.7942) Prec@1 58.594 (59.205) Prec@5 75.000 (80.959) Epoch: [38][3510/10010] Time 0.332 (0.327) Data 0.001 (0.001) Loss 1.8389 (1.7939) Prec@1 55.469 (59.213) Prec@5 80.469 (80.960) Epoch: [38][3520/10010] Time 0.326 (0.327) Data 0.001 (0.001) Loss 1.6746 (1.7943) Prec@1 54.688 (59.201) Prec@5 86.719 (80.953) Epoch: [38][3530/10010] Time 0.317 (0.327) Data 0.000 (0.001) Loss 1.5860 (1.7942) Prec@1 64.062 (59.206) Prec@5 83.594 (80.956) Epoch: [38][3540/10010] Time 0.327 (0.327) Data 0.001 (0.001) Loss 1.6576 (1.7946) Prec@1 63.281 (59.199) Prec@5 78.906 (80.951) Epoch: [38][3550/10010] Time 0.313 (0.327) Data 0.001 (0.001) Loss 1.6420 (1.7947) Prec@1 60.156 (59.200) Prec@5 83.594 (80.946) Epoch: [38][3560/10010] Time 0.318 (0.327) Data 0.001 (0.001) Loss 1.7032 (1.7948) Prec@1 61.719 (59.203) Prec@5 83.594 (80.947) Epoch: [38][3570/10010] Time 0.328 (0.327) Data 0.001 (0.001) Loss 1.8042 (1.7946) Prec@1 55.469 (59.205) Prec@5 82.812 (80.950) Epoch: [38][3580/10010] Time 0.336 (0.327) Data 0.001 (0.001) Loss 1.7029 (1.7950) Prec@1 62.500 (59.204) Prec@5 82.031 (80.946) Epoch: [38][3590/10010] Time 0.318 (0.327) Data 0.001 (0.001) Loss 1.7338 (1.7951) Prec@1 59.375 (59.202) Prec@5 83.594 (80.945) Epoch: [38][3600/10010] Time 0.314 (0.327) Data 0.000 (0.001) Loss 1.9309 (1.7952) Prec@1 57.031 (59.203) Prec@5 78.906 (80.946) Epoch: [38][3610/10010] Time 0.322 (0.327) Data 0.000 (0.001) Loss 1.8794 (1.7951) Prec@1 57.812 (59.205) Prec@5 78.906 (80.950) Epoch: [38][3620/10010] Time 0.319 (0.327) Data 0.000 (0.001) Loss 1.9396 (1.7951) Prec@1 53.906 (59.200) Prec@5 84.375 (80.952) Epoch: [38][3630/10010] Time 0.331 (0.327) Data 0.001 (0.001) Loss 1.7838 (1.7951) Prec@1 59.375 (59.199) Prec@5 79.688 (80.954) Epoch: [38][3640/10010] Time 0.336 (0.327) Data 0.001 (0.001) Loss 1.7751 (1.7952) Prec@1 59.375 (59.202) Prec@5 83.594 (80.951) Epoch: [38][3650/10010] Time 0.322 (0.327) Data 0.001 (0.001) Loss 1.9198 (1.7956) Prec@1 53.906 (59.192) Prec@5 79.688 (80.946) Epoch: [38][3660/10010] Time 0.333 (0.327) Data 0.000 (0.001) Loss 1.8261 (1.7957) Prec@1 58.594 (59.188) Prec@5 79.688 (80.945) Epoch: [38][3670/10010] Time 0.318 (0.327) Data 0.001 (0.001) Loss 2.1240 (1.7958) Prec@1 53.906 (59.187) Prec@5 75.781 (80.942) Epoch: [38][3680/10010] Time 0.332 (0.327) Data 0.001 (0.001) Loss 2.1228 (1.7960) Prec@1 53.906 (59.186) Prec@5 74.219 (80.940) Epoch: [38][3690/10010] Time 0.321 (0.327) Data 0.001 (0.001) Loss 1.9889 (1.7959) Prec@1 56.250 (59.182) Prec@5 77.344 (80.942) Epoch: [38][3700/10010] Time 0.311 (0.327) Data 0.001 (0.001) Loss 1.5341 (1.7960) Prec@1 60.938 (59.178) Prec@5 85.938 (80.941) Epoch: [38][3710/10010] Time 0.316 (0.327) Data 0.001 (0.001) Loss 1.7109 (1.7959) Prec@1 57.812 (59.180) Prec@5 82.031 (80.944) Epoch: [38][3720/10010] Time 0.329 (0.327) Data 0.000 (0.001) Loss 1.4466 (1.7960) Prec@1 62.500 (59.181) Prec@5 83.594 (80.942) Epoch: [38][3730/10010] Time 0.321 (0.327) Data 0.000 (0.001) Loss 1.7227 (1.7957) Prec@1 61.719 (59.185) Prec@5 84.375 (80.946) Epoch: [38][3740/10010] Time 0.336 (0.327) Data 0.000 (0.001) Loss 1.7493 (1.7956) Prec@1 59.375 (59.184) Prec@5 82.812 (80.947) Epoch: [38][3750/10010] Time 0.334 (0.327) Data 0.001 (0.001) Loss 2.0530 (1.7956) Prec@1 55.469 (59.185) Prec@5 75.000 (80.944) Epoch: [38][3760/10010] Time 0.322 (0.327) Data 0.001 (0.001) Loss 1.5074 (1.7955) Prec@1 57.031 (59.186) Prec@5 86.719 (80.947) Epoch: [38][3770/10010] Time 0.323 (0.327) Data 0.000 (0.001) Loss 1.9636 (1.7956) Prec@1 52.344 (59.186) Prec@5 77.344 (80.947) Epoch: [38][3780/10010] Time 0.318 (0.327) Data 0.001 (0.001) Loss 1.8381 (1.7955) Prec@1 53.906 (59.184) Prec@5 82.812 (80.952) Epoch: [38][3790/10010] Time 0.331 (0.327) Data 0.000 (0.001) Loss 1.8893 (1.7955) Prec@1 58.594 (59.186) Prec@5 75.781 (80.951) Epoch: [38][3800/10010] Time 0.319 (0.327) Data 0.001 (0.001) Loss 1.5749 (1.7955) Prec@1 61.719 (59.186) Prec@5 85.156 (80.951) Epoch: [38][3810/10010] Time 0.316 (0.327) Data 0.001 (0.001) Loss 1.9344 (1.7958) Prec@1 60.156 (59.181) Prec@5 79.688 (80.945) Epoch: [38][3820/10010] Time 0.333 (0.327) Data 0.000 (0.001) Loss 1.6554 (1.7958) Prec@1 62.500 (59.185) Prec@5 81.250 (80.943) Epoch: [38][3830/10010] Time 0.321 (0.327) Data 0.001 (0.001) Loss 1.8498 (1.7957) Prec@1 56.250 (59.185) Prec@5 82.031 (80.946) Epoch: [38][3840/10010] Time 0.317 (0.327) Data 0.001 (0.001) Loss 1.9194 (1.7960) Prec@1 54.688 (59.178) Prec@5 79.688 (80.942) Epoch: [38][3850/10010] Time 0.325 (0.327) Data 0.000 (0.001) Loss 1.9811 (1.7961) Prec@1 56.250 (59.176) Prec@5 80.469 (80.942) Epoch: [38][3860/10010] Time 0.323 (0.327) Data 0.001 (0.001) Loss 1.7926 (1.7961) Prec@1 61.719 (59.176) Prec@5 80.469 (80.942) Epoch: [38][3870/10010] Time 0.338 (0.327) Data 0.001 (0.001) Loss 1.6093 (1.7962) Prec@1 60.938 (59.174) Prec@5 86.719 (80.942) Epoch: [38][3880/10010] Time 0.325 (0.327) Data 0.001 (0.001) Loss 2.3560 (1.7964) Prec@1 46.875 (59.170) Prec@5 71.094 (80.936) Epoch: [38][3890/10010] Time 0.315 (0.327) Data 0.001 (0.001) Loss 1.6771 (1.7966) Prec@1 60.156 (59.168) Prec@5 81.250 (80.933) Epoch: [38][3900/10010] Time 0.335 (0.327) Data 0.000 (0.001) Loss 1.9003 (1.7968) Prec@1 59.375 (59.166) Prec@5 79.688 (80.929) Epoch: [38][3910/10010] Time 0.338 (0.327) Data 0.001 (0.001) Loss 1.8661 (1.7968) Prec@1 62.500 (59.163) Prec@5 80.469 (80.929) Epoch: [38][3920/10010] Time 0.338 (0.327) Data 0.001 (0.001) Loss 1.5653 (1.7965) Prec@1 60.156 (59.171) Prec@5 82.812 (80.932) Epoch: [38][3930/10010] Time 0.317 (0.327) Data 0.001 (0.001) Loss 2.1102 (1.7966) Prec@1 50.000 (59.170) Prec@5 76.562 (80.927) Epoch: [38][3940/10010] Time 0.339 (0.327) Data 0.000 (0.001) Loss 1.6448 (1.7966) Prec@1 60.938 (59.168) Prec@5 84.375 (80.926) Epoch: [38][3950/10010] Time 0.339 (0.327) Data 0.001 (0.001) Loss 1.9129 (1.7967) Prec@1 60.156 (59.166) Prec@5 78.906 (80.925) Epoch: [38][3960/10010] Time 0.336 (0.327) Data 0.000 (0.001) Loss 1.7495 (1.7967) Prec@1 57.031 (59.165) Prec@5 80.469 (80.926) Epoch: [38][3970/10010] Time 0.327 (0.327) Data 0.001 (0.001) Loss 1.5321 (1.7967) Prec@1 62.500 (59.169) Prec@5 85.938 (80.930) Epoch: [38][3980/10010] Time 0.322 (0.327) Data 0.000 (0.001) Loss 1.7416 (1.7967) Prec@1 58.594 (59.172) Prec@5 85.156 (80.932) Epoch: [38][3990/10010] Time 0.323 (0.327) Data 0.001 (0.001) Loss 1.9119 (1.7968) Prec@1 53.125 (59.168) Prec@5 82.031 (80.929) Epoch: [38][4000/10010] Time 0.336 (0.327) Data 0.001 (0.001) Loss 1.8399 (1.7970) Prec@1 59.375 (59.166) Prec@5 81.250 (80.926) Epoch: [38][4010/10010] Time 0.318 (0.327) Data 0.000 (0.001) Loss 1.3974 (1.7968) Prec@1 64.844 (59.170) Prec@5 89.844 (80.928) Epoch: [38][4020/10010] Time 0.321 (0.327) Data 0.000 (0.001) Loss 1.5970 (1.7968) Prec@1 61.719 (59.171) Prec@5 82.031 (80.929) Epoch: [38][4030/10010] Time 0.316 (0.327) Data 0.001 (0.001) Loss 1.6905 (1.7968) Prec@1 57.812 (59.170) Prec@5 82.812 (80.929) Epoch: [38][4040/10010] Time 0.328 (0.327) Data 0.001 (0.001) Loss 1.9900 (1.7968) Prec@1 55.469 (59.167) Prec@5 75.000 (80.930) Epoch: [38][4050/10010] Time 0.320 (0.327) Data 0.000 (0.001) Loss 1.6394 (1.7970) Prec@1 60.938 (59.162) Prec@5 81.250 (80.927) Epoch: [38][4060/10010] Time 0.324 (0.327) Data 0.000 (0.001) Loss 1.7906 (1.7970) Prec@1 60.938 (59.159) Prec@5 80.469 (80.927) Epoch: [38][4070/10010] Time 0.338 (0.327) Data 0.001 (0.001) Loss 1.5825 (1.7969) Prec@1 64.062 (59.162) Prec@5 82.031 (80.927) Epoch: [38][4080/10010] Time 0.320 (0.327) Data 0.000 (0.001) Loss 1.8652 (1.7972) Prec@1 57.031 (59.154) Prec@5 77.344 (80.921) Epoch: [38][4090/10010] Time 0.327 (0.327) Data 0.001 (0.001) Loss 1.7637 (1.7973) Prec@1 59.375 (59.150) Prec@5 78.125 (80.920) Epoch: [38][4100/10010] Time 0.311 (0.327) Data 0.001 (0.001) Loss 1.6283 (1.7974) Prec@1 56.250 (59.151) Prec@5 86.719 (80.919) Epoch: [38][4110/10010] Time 0.338 (0.327) Data 0.000 (0.001) Loss 1.7692 (1.7972) Prec@1 64.062 (59.159) Prec@5 78.906 (80.920) Epoch: [38][4120/10010] Time 0.338 (0.327) Data 0.000 (0.001) Loss 1.5074 (1.7971) Prec@1 59.375 (59.157) Prec@5 85.938 (80.923) Epoch: [38][4130/10010] Time 0.317 (0.327) Data 0.001 (0.001) Loss 1.7350 (1.7973) Prec@1 64.062 (59.153) Prec@5 79.688 (80.918) Epoch: [38][4140/10010] Time 0.337 (0.327) Data 0.000 (0.001) Loss 1.9794 (1.7974) Prec@1 62.500 (59.150) Prec@5 77.344 (80.916) Epoch: [38][4150/10010] Time 0.340 (0.327) Data 0.000 (0.001) Loss 1.9857 (1.7975) Prec@1 57.812 (59.152) Prec@5 78.125 (80.914) Epoch: [38][4160/10010] Time 0.344 (0.327) Data 0.000 (0.001) Loss 1.6812 (1.7975) Prec@1 60.156 (59.150) Prec@5 80.469 (80.914) Epoch: [38][4170/10010] Time 0.322 (0.327) Data 0.001 (0.001) Loss 1.6488 (1.7975) Prec@1 61.719 (59.150) Prec@5 83.594 (80.913) Epoch: [38][4180/10010] Time 0.314 (0.327) Data 0.001 (0.001) Loss 1.7407 (1.7974) Prec@1 57.812 (59.153) Prec@5 82.031 (80.913) Epoch: [38][4190/10010] Time 0.333 (0.327) Data 0.001 (0.001) Loss 1.9549 (1.7974) Prec@1 60.156 (59.151) Prec@5 77.344 (80.915) Epoch: [38][4200/10010] Time 0.321 (0.327) Data 0.001 (0.001) Loss 1.3803 (1.7973) Prec@1 69.531 (59.149) Prec@5 85.938 (80.920) Epoch: [38][4210/10010] Time 0.316 (0.327) Data 0.001 (0.001) Loss 1.6791 (1.7974) Prec@1 61.719 (59.144) Prec@5 82.031 (80.918) Epoch: [38][4220/10010] Time 0.323 (0.327) Data 0.000 (0.001) Loss 1.7176 (1.7976) Prec@1 63.281 (59.137) Prec@5 83.594 (80.915) Epoch: [38][4230/10010] Time 0.313 (0.327) Data 0.001 (0.001) Loss 1.7569 (1.7975) Prec@1 60.156 (59.136) Prec@5 77.344 (80.914) Epoch: [38][4240/10010] Time 0.330 (0.327) Data 0.001 (0.001) Loss 1.5967 (1.7974) Prec@1 64.844 (59.135) Prec@5 83.594 (80.915) /data/vision/torralba/deepscene/lib/anaconda2/lib/python2.7/site-packages/PIL/TiffImagePlugin.py:692: UserWarning: Possibly corrupt EXIF data. Expecting to read 2555904 bytes but only got 0. Skipping tag 0 "Skipping tag %s" % (size, len(data), tag)) Epoch: [38][4250/10010] Time 0.326 (0.327) Data 0.001 (0.001) Loss 2.0020 (1.7974) Prec@1 57.031 (59.131) Prec@5 81.250 (80.915) Epoch: [38][4260/10010] Time 0.336 (0.327) Data 0.001 (0.001) Loss 1.8672 (1.7974) Prec@1 57.031 (59.133) Prec@5 75.781 (80.913) Epoch: [38][4270/10010] Time 0.319 (0.327) Data 0.000 (0.001) Loss 1.7194 (1.7973) Prec@1 64.062 (59.135) Prec@5 82.812 (80.915) Epoch: [38][4280/10010] Time 0.317 (0.327) Data 0.001 (0.001) Loss 1.9113 (1.7972) Prec@1 64.062 (59.138) Prec@5 75.781 (80.915) Epoch: [38][4290/10010] Time 0.320 (0.327) Data 0.001 (0.001) Loss 1.9052 (1.7970) Prec@1 55.469 (59.138) Prec@5 78.125 (80.918) Epoch: [38][4300/10010] Time 0.325 (0.327) Data 0.001 (0.001) Loss 2.0324 (1.7970) Prec@1 56.250 (59.140) Prec@5 75.781 (80.917) Epoch: [38][4310/10010] Time 0.328 (0.327) Data 0.001 (0.001) Loss 1.7259 (1.7973) Prec@1 64.844 (59.136) Prec@5 82.031 (80.912) Epoch: [38][4320/10010] Time 0.331 (0.327) Data 0.001 (0.001) Loss 1.9434 (1.7974) Prec@1 58.594 (59.136) Prec@5 79.688 (80.909) Epoch: [38][4330/10010] Time 0.335 (0.327) Data 0.001 (0.001) Loss 1.8904 (1.7976) Prec@1 54.688 (59.132) Prec@5 80.469 (80.906) Epoch: [38][4340/10010] Time 0.314 (0.327) Data 0.001 (0.001) Loss 1.7603 (1.7976) Prec@1 58.594 (59.132) Prec@5 83.594 (80.906) Epoch: [38][4350/10010] Time 0.320 (0.327) Data 0.000 (0.001) Loss 1.8319 (1.7974) Prec@1 64.062 (59.138) Prec@5 82.031 (80.909) Epoch: [38][4360/10010] Time 0.324 (0.327) Data 0.000 (0.001) Loss 1.6673 (1.7975) Prec@1 64.062 (59.137) Prec@5 82.031 (80.909) Epoch: [38][4370/10010] Time 0.319 (0.327) Data 0.000 (0.001) Loss 2.0801 (1.7977) Prec@1 52.344 (59.135) Prec@5 79.688 (80.908) Epoch: [38][4380/10010] Time 0.326 (0.327) Data 0.001 (0.001) Loss 1.8757 (1.7978) Prec@1 56.250 (59.130) Prec@5 79.688 (80.906) Epoch: [38][4390/10010] Time 0.317 (0.327) Data 0.001 (0.001) Loss 1.9488 (1.7978) Prec@1 55.469 (59.133) Prec@5 79.688 (80.905) Epoch: [38][4400/10010] Time 0.337 (0.327) Data 0.001 (0.001) Loss 2.1196 (1.7978) Prec@1 49.219 (59.133) Prec@5 74.219 (80.904) Epoch: [38][4410/10010] Time 0.319 (0.327) Data 0.000 (0.001) Loss 1.7736 (1.7976) Prec@1 60.156 (59.137) Prec@5 81.250 (80.906) Epoch: [38][4420/10010] Time 0.324 (0.327) Data 0.001 (0.001) Loss 2.0574 (1.7975) Prec@1 56.250 (59.137) Prec@5 75.781 (80.910) Epoch: [38][4430/10010] Time 0.323 (0.327) Data 0.001 (0.001) Loss 1.8305 (1.7976) Prec@1 52.344 (59.136) Prec@5 82.812 (80.908) Epoch: [38][4440/10010] Time 0.338 (0.327) Data 0.001 (0.001) Loss 1.4471 (1.7975) Prec@1 65.625 (59.139) Prec@5 84.375 (80.911) Epoch: [38][4450/10010] Time 0.330 (0.327) Data 0.001 (0.001) Loss 1.8729 (1.7977) Prec@1 57.812 (59.133) Prec@5 81.250 (80.908) Epoch: [38][4460/10010] Time 0.317 (0.327) Data 0.001 (0.001) Loss 2.0171 (1.7976) Prec@1 51.562 (59.132) Prec@5 77.344 (80.912) Epoch: [38][4470/10010] Time 0.329 (0.327) Data 0.001 (0.001) Loss 1.8321 (1.7976) Prec@1 58.594 (59.135) Prec@5 81.250 (80.914) Epoch: [38][4480/10010] Time 0.324 (0.327) Data 0.001 (0.001) Loss 1.7850 (1.7975) Prec@1 59.375 (59.137) Prec@5 80.469 (80.916) Epoch: [38][4490/10010] Time 0.339 (0.327) Data 0.001 (0.001) Loss 1.8433 (1.7976) Prec@1 56.250 (59.134) Prec@5 78.906 (80.912) Epoch: [38][4500/10010] Time 0.322 (0.327) Data 0.000 (0.001) Loss 2.0126 (1.7977) Prec@1 52.344 (59.132) Prec@5 76.562 (80.911) Epoch: [38][4510/10010] Time 0.316 (0.327) Data 0.001 (0.001) Loss 1.7683 (1.7978) Prec@1 60.156 (59.132) Prec@5 80.469 (80.911) Epoch: [38][4520/10010] Time 0.317 (0.327) Data 0.001 (0.001) Loss 2.0708 (1.7979) Prec@1 50.000 (59.126) Prec@5 76.562 (80.906) Epoch: [38][4530/10010] Time 0.329 (0.327) Data 0.001 (0.001) Loss 1.9609 (1.7979) Prec@1 58.594 (59.122) Prec@5 78.906 (80.906) Epoch: [38][4540/10010] Time 0.325 (0.327) Data 0.001 (0.001) Loss 1.8765 (1.7980) Prec@1 58.594 (59.122) Prec@5 78.906 (80.905) Epoch: [38][4550/10010] Time 0.320 (0.327) Data 0.001 (0.001) Loss 1.9066 (1.7983) Prec@1 57.031 (59.118) Prec@5 78.125 (80.898) Epoch: [38][4560/10010] Time 0.338 (0.327) Data 0.000 (0.001) Loss 1.7941 (1.7984) Prec@1 57.031 (59.114) Prec@5 78.125 (80.896) Epoch: [38][4570/10010] Time 0.340 (0.327) Data 0.000 (0.001) Loss 1.8450 (1.7985) Prec@1 56.250 (59.109) Prec@5 79.688 (80.894) Epoch: [38][4580/10010] Time 0.316 (0.327) Data 0.000 (0.001) Loss 1.8729 (1.7984) Prec@1 58.594 (59.110) Prec@5 82.031 (80.897) Epoch: [38][4590/10010] Time 0.327 (0.327) Data 0.001 (0.001) Loss 1.9783 (1.7987) Prec@1 59.375 (59.108) Prec@5 77.344 (80.892) Epoch: [38][4600/10010] Time 0.316 (0.327) Data 0.000 (0.001) Loss 2.1147 (1.7990) Prec@1 48.438 (59.100) Prec@5 75.781 (80.887) Epoch: [38][4610/10010] Time 0.319 (0.327) Data 0.000 (0.001) Loss 1.7076 (1.7992) Prec@1 61.719 (59.096) Prec@5 79.688 (80.883) Epoch: [38][4620/10010] Time 0.323 (0.327) Data 0.001 (0.001) Loss 1.5978 (1.7993) Prec@1 62.500 (59.093) Prec@5 85.938 (80.882) Epoch: [38][4630/10010] Time 0.316 (0.327) Data 0.001 (0.001) Loss 1.8959 (1.7995) Prec@1 54.688 (59.089) Prec@5 77.344 (80.881) Epoch: [38][4640/10010] Time 0.312 (0.327) Data 0.001 (0.001) Loss 1.8901 (1.7997) Prec@1 57.812 (59.085) Prec@5 78.906 (80.878) Epoch: [38][4650/10010] Time 0.321 (0.327) Data 0.000 (0.001) Loss 2.0664 (1.7999) Prec@1 56.250 (59.086) Prec@5 80.469 (80.875) Epoch: [38][4660/10010] Time 0.313 (0.327) Data 0.001 (0.001) Loss 1.6156 (1.7999) Prec@1 60.156 (59.085) Prec@5 85.938 (80.875) Epoch: [38][4670/10010] Time 0.316 (0.327) Data 0.000 (0.001) Loss 1.8315 (1.7999) Prec@1 58.594 (59.083) Prec@5 80.469 (80.875) Epoch: [38][4680/10010] Time 0.320 (0.327) Data 0.001 (0.001) Loss 1.5847 (1.7999) Prec@1 64.844 (59.083) Prec@5 80.469 (80.873) Epoch: [38][4690/10010] Time 0.335 (0.327) Data 0.000 (0.001) Loss 1.6915 (1.7999) Prec@1 61.719 (59.083) Prec@5 80.469 (80.873) Epoch: [38][4700/10010] Time 0.332 (0.327) Data 0.001 (0.001) Loss 2.0164 (1.7999) Prec@1 53.125 (59.078) Prec@5 75.781 (80.870) Epoch: [38][4710/10010] Time 0.324 (0.327) Data 0.000 (0.001) Loss 1.6140 (1.7999) Prec@1 59.375 (59.081) Prec@5 82.031 (80.870) Epoch: [38][4720/10010] Time 0.334 (0.327) Data 0.000 (0.001) Loss 1.8153 (1.8001) Prec@1 62.500 (59.078) Prec@5 80.469 (80.869) Epoch: [38][4730/10010] Time 0.332 (0.327) Data 0.000 (0.001) Loss 1.9928 (1.8001) Prec@1 54.688 (59.074) Prec@5 78.125 (80.870) Epoch: [38][4740/10010] Time 0.340 (0.327) Data 0.001 (0.001) Loss 1.7402 (1.8000) Prec@1 58.594 (59.078) Prec@5 83.594 (80.870) Epoch: [38][4750/10010] Time 0.335 (0.327) Data 0.001 (0.001) Loss 1.8293 (1.7999) Prec@1 51.562 (59.077) Prec@5 78.125 (80.873) Epoch: [38][4760/10010] Time 0.341 (0.327) Data 0.000 (0.001) Loss 1.4518 (1.7997) Prec@1 64.844 (59.080) Prec@5 87.500 (80.873) Epoch: [38][4770/10010] Time 0.335 (0.327) Data 0.001 (0.001) Loss 2.3083 (1.7997) Prec@1 51.562 (59.079) Prec@5 78.125 (80.872) Epoch: [38][4780/10010] Time 0.317 (0.327) Data 0.001 (0.001) Loss 1.9852 (1.7999) Prec@1 52.344 (59.077) Prec@5 78.906 (80.870) Epoch: [38][4790/10010] Time 0.314 (0.327) Data 0.001 (0.001) Loss 2.0617 (1.8001) Prec@1 52.344 (59.070) Prec@5 80.469 (80.869) Epoch: [38][4800/10010] Time 0.324 (0.327) Data 0.001 (0.001) Loss 1.6100 (1.7999) Prec@1 64.844 (59.075) Prec@5 84.375 (80.871) Epoch: [38][4810/10010] Time 0.310 (0.327) Data 0.001 (0.001) Loss 1.7020 (1.7999) Prec@1 62.500 (59.077) Prec@5 82.812 (80.870) Epoch: [38][4820/10010] Time 0.318 (0.327) Data 0.001 (0.001) Loss 1.9447 (1.8000) Prec@1 54.688 (59.074) Prec@5 78.125 (80.870) Epoch: [38][4830/10010] Time 0.332 (0.327) Data 0.000 (0.001) Loss 1.7999 (1.8000) Prec@1 59.375 (59.072) Prec@5 82.812 (80.869) Epoch: [38][4840/10010] Time 0.319 (0.327) Data 0.000 (0.001) Loss 2.3429 (1.8002) Prec@1 50.000 (59.065) Prec@5 69.531 (80.866) Epoch: [38][4850/10010] Time 0.322 (0.327) Data 0.001 (0.001) Loss 1.8544 (1.8005) Prec@1 60.156 (59.061) Prec@5 81.250 (80.863) Epoch: [38][4860/10010] Time 0.324 (0.327) Data 0.001 (0.001) Loss 1.6308 (1.8002) Prec@1 60.156 (59.064) Prec@5 82.812 (80.865) Epoch: [38][4870/10010] Time 0.331 (0.327) Data 0.000 (0.001) Loss 2.1108 (1.8001) Prec@1 55.469 (59.064) Prec@5 77.344 (80.865) Epoch: [38][4880/10010] Time 0.320 (0.327) Data 0.001 (0.001) Loss 1.8646 (1.8002) Prec@1 53.125 (59.060) Prec@5 79.688 (80.865) Epoch: [38][4890/10010] Time 0.325 (0.327) Data 0.001 (0.001) Loss 1.6519 (1.8003) Prec@1 62.500 (59.056) Prec@5 86.719 (80.863) Epoch: [38][4900/10010] Time 0.319 (0.327) Data 0.000 (0.001) Loss 1.8002 (1.8005) Prec@1 58.594 (59.056) Prec@5 81.250 (80.861) Epoch: [38][4910/10010] Time 0.336 (0.327) Data 0.001 (0.001) Loss 1.6918 (1.8005) Prec@1 58.594 (59.057) Prec@5 80.469 (80.865) Epoch: [38][4920/10010] Time 0.321 (0.327) Data 0.000 (0.001) Loss 1.8411 (1.8005) Prec@1 59.375 (59.058) Prec@5 79.688 (80.864) Epoch: [38][4930/10010] Time 0.341 (0.327) Data 0.001 (0.001) Loss 1.5288 (1.8004) Prec@1 61.719 (59.059) Prec@5 87.500 (80.865) Epoch: [38][4940/10010] Time 0.342 (0.327) Data 0.001 (0.001) Loss 1.5702 (1.8003) Prec@1 65.625 (59.063) Prec@5 78.906 (80.866) Epoch: [38][4950/10010] Time 0.333 (0.327) Data 0.001 (0.001) Loss 1.8008 (1.8003) Prec@1 60.156 (59.065) Prec@5 80.469 (80.864) Epoch: [38][4960/10010] Time 0.329 (0.327) Data 0.001 (0.001) Loss 1.7924 (1.8005) Prec@1 58.594 (59.060) Prec@5 82.031 (80.861) Epoch: [38][4970/10010] Time 0.318 (0.327) Data 0.001 (0.001) Loss 1.7681 (1.8004) Prec@1 61.719 (59.062) Prec@5 81.250 (80.861) Epoch: [38][4980/10010] Time 0.334 (0.327) Data 0.001 (0.001) Loss 2.0047 (1.8005) Prec@1 54.688 (59.061) Prec@5 79.688 (80.859) Epoch: [38][4990/10010] Time 0.321 (0.327) Data 0.000 (0.001) Loss 2.1225 (1.8005) Prec@1 52.344 (59.061) Prec@5 74.219 (80.859) Epoch: [38][5000/10010] Time 0.339 (0.327) Data 0.001 (0.001) Loss 1.7406 (1.8005) Prec@1 57.031 (59.063) Prec@5 84.375 (80.860) Epoch: [38][5010/10010] Time 0.332 (0.327) Data 0.001 (0.001) Loss 1.8117 (1.8004) Prec@1 58.594 (59.062) Prec@5 78.125 (80.860) Epoch: [38][5020/10010] Time 0.321 (0.327) Data 0.001 (0.001) Loss 1.6911 (1.8004) Prec@1 61.719 (59.063) Prec@5 82.812 (80.858) Epoch: [38][5030/10010] Time 0.337 (0.327) Data 0.001 (0.001) Loss 1.9283 (1.8004) Prec@1 57.812 (59.066) Prec@5 78.906 (80.860) Epoch: [38][5040/10010] Time 0.335 (0.327) Data 0.001 (0.001) Loss 1.6212 (1.8005) Prec@1 65.625 (59.064) Prec@5 82.812 (80.858) Epoch: [38][5050/10010] Time 0.317 (0.327) Data 0.000 (0.001) Loss 1.9793 (1.8005) Prec@1 58.594 (59.068) Prec@5 81.250 (80.860) Epoch: [38][5060/10010] Time 0.314 (0.327) Data 0.000 (0.001) Loss 1.9541 (1.8006) Prec@1 59.375 (59.068) Prec@5 78.125 (80.858) Epoch: [38][5070/10010] Time 0.320 (0.327) Data 0.001 (0.001) Loss 2.1231 (1.8006) Prec@1 50.000 (59.066) Prec@5 75.781 (80.858) Epoch: [38][5080/10010] Time 0.329 (0.327) Data 0.000 (0.001) Loss 1.6928 (1.8006) Prec@1 65.625 (59.067) Prec@5 81.250 (80.857) Epoch: [38][5090/10010] Time 0.338 (0.327) Data 0.000 (0.001) Loss 2.0096 (1.8006) Prec@1 52.344 (59.068) Prec@5 78.125 (80.858) Epoch: [38][5100/10010] Time 0.336 (0.327) Data 0.001 (0.001) Loss 1.6419 (1.8006) Prec@1 60.938 (59.066) Prec@5 85.156 (80.859) Epoch: [38][5110/10010] Time 0.337 (0.327) Data 0.001 (0.001) Loss 1.6416 (1.8006) Prec@1 61.719 (59.065) Prec@5 83.594 (80.860) Epoch: [38][5120/10010] Time 0.318 (0.327) Data 0.000 (0.001) Loss 2.2155 (1.8007) Prec@1 50.000 (59.062) Prec@5 75.000 (80.859) Epoch: [38][5130/10010] Time 0.310 (0.327) Data 0.001 (0.001) Loss 2.1621 (1.8008) Prec@1 52.344 (59.058) Prec@5 72.656 (80.857) Epoch: [38][5140/10010] Time 0.318 (0.327) Data 0.001 (0.001) Loss 1.8278 (1.8007) Prec@1 55.469 (59.058) Prec@5 81.250 (80.860) Epoch: [38][5150/10010] Time 0.340 (0.327) Data 0.000 (0.001) Loss 1.9022 (1.8008) Prec@1 60.156 (59.054) Prec@5 74.219 (80.856) Epoch: [38][5160/10010] Time 0.322 (0.327) Data 0.001 (0.001) Loss 1.9013 (1.8008) Prec@1 57.812 (59.055) Prec@5 79.688 (80.854) Epoch: [38][5170/10010] Time 0.337 (0.327) Data 0.000 (0.001) Loss 1.6218 (1.8007) Prec@1 60.938 (59.057) Prec@5 84.375 (80.856) Epoch: [38][5180/10010] Time 0.329 (0.327) Data 0.001 (0.001) Loss 1.8412 (1.8009) Prec@1 56.250 (59.053) Prec@5 79.688 (80.852) Epoch: [38][5190/10010] Time 0.337 (0.327) Data 0.001 (0.001) Loss 1.7188 (1.8009) Prec@1 62.500 (59.055) Prec@5 78.906 (80.852) Epoch: [38][5200/10010] Time 0.317 (0.327) Data 0.000 (0.001) Loss 1.7911 (1.8009) Prec@1 56.250 (59.051) Prec@5 81.250 (80.850) Epoch: [38][5210/10010] Time 0.326 (0.327) Data 0.001 (0.001) Loss 2.0828 (1.8008) Prec@1 52.344 (59.052) Prec@5 77.344 (80.853) Epoch: [38][5220/10010] Time 0.319 (0.327) Data 0.000 (0.001) Loss 2.2037 (1.8008) Prec@1 47.656 (59.048) Prec@5 78.906 (80.854) Epoch: [38][5230/10010] Time 0.327 (0.327) Data 0.001 (0.001) Loss 1.6600 (1.8007) Prec@1 56.250 (59.051) Prec@5 82.812 (80.855) Epoch: [38][5240/10010] Time 0.333 (0.327) Data 0.001 (0.001) Loss 2.0145 (1.8006) Prec@1 53.125 (59.049) Prec@5 77.344 (80.856) Epoch: [38][5250/10010] Time 0.330 (0.327) Data 0.001 (0.001) Loss 2.0703 (1.8007) Prec@1 46.875 (59.045) Prec@5 75.781 (80.856) Epoch: [38][5260/10010] Time 0.338 (0.327) Data 0.000 (0.001) Loss 1.5080 (1.8006) Prec@1 63.281 (59.046) Prec@5 83.594 (80.857) Epoch: [38][5270/10010] Time 0.336 (0.327) Data 0.000 (0.001) Loss 1.7178 (1.8008) Prec@1 60.156 (59.044) Prec@5 83.594 (80.856) Epoch: [38][5280/10010] Time 0.321 (0.327) Data 0.000 (0.001) Loss 2.1833 (1.8010) Prec@1 57.031 (59.041) Prec@5 78.906 (80.853) Epoch: [38][5290/10010] Time 0.319 (0.327) Data 0.001 (0.001) Loss 2.0017 (1.8011) Prec@1 56.250 (59.042) Prec@5 76.562 (80.851) Epoch: [38][5300/10010] Time 0.322 (0.327) Data 0.001 (0.001) Loss 1.7805 (1.8011) Prec@1 61.719 (59.043) Prec@5 81.250 (80.852) Epoch: [38][5310/10010] Time 0.325 (0.327) Data 0.000 (0.001) Loss 1.8001 (1.8013) Prec@1 57.031 (59.038) Prec@5 79.688 (80.849) Epoch: [38][5320/10010] Time 0.313 (0.327) Data 0.000 (0.001) Loss 1.4605 (1.8014) Prec@1 60.938 (59.034) Prec@5 87.500 (80.848) Epoch: [38][5330/10010] Time 0.338 (0.327) Data 0.000 (0.001) Loss 1.9895 (1.8014) Prec@1 55.469 (59.035) Prec@5 75.781 (80.848) Epoch: [38][5340/10010] Time 0.312 (0.327) Data 0.001 (0.001) Loss 1.5286 (1.8013) Prec@1 64.844 (59.035) Prec@5 82.812 (80.848) Epoch: [38][5350/10010] Time 0.336 (0.327) Data 0.001 (0.001) Loss 2.0715 (1.8014) Prec@1 57.031 (59.035) Prec@5 76.562 (80.846) Epoch: [38][5360/10010] Time 0.319 (0.327) Data 0.000 (0.001) Loss 1.8339 (1.8014) Prec@1 58.594 (59.034) Prec@5 80.469 (80.847) Epoch: [38][5370/10010] Time 0.333 (0.327) Data 0.001 (0.001) Loss 1.7873 (1.8014) Prec@1 54.688 (59.036) Prec@5 80.469 (80.847) Epoch: [38][5380/10010] Time 0.340 (0.327) Data 0.000 (0.001) Loss 1.4920 (1.8013) Prec@1 62.500 (59.040) Prec@5 88.281 (80.848) Epoch: [38][5390/10010] Time 0.330 (0.327) Data 0.000 (0.001) Loss 1.8325 (1.8014) Prec@1 60.156 (59.037) Prec@5 78.906 (80.847) Epoch: [38][5400/10010] Time 0.338 (0.327) Data 0.000 (0.001) Loss 2.0344 (1.8016) Prec@1 50.781 (59.033) Prec@5 76.562 (80.843) Epoch: [38][5410/10010] Time 0.341 (0.327) Data 0.001 (0.001) Loss 1.8743 (1.8017) Prec@1 53.906 (59.032) Prec@5 78.906 (80.840) Epoch: [38][5420/10010] Time 0.319 (0.327) Data 0.001 (0.001) Loss 1.6591 (1.8015) Prec@1 57.812 (59.032) Prec@5 85.156 (80.843) Epoch: [38][5430/10010] Time 0.316 (0.327) Data 0.001 (0.001) Loss 1.8949 (1.8017) Prec@1 56.250 (59.030) Prec@5 80.469 (80.842) Epoch: [38][5440/10010] Time 0.318 (0.327) Data 0.001 (0.001) Loss 1.6063 (1.8017) Prec@1 60.156 (59.030) Prec@5 80.469 (80.841) Epoch: [38][5450/10010] Time 0.323 (0.327) Data 0.001 (0.001) Loss 1.6129 (1.8015) Prec@1 64.062 (59.035) Prec@5 82.031 (80.840) Epoch: [38][5460/10010] Time 0.323 (0.327) Data 0.001 (0.001) Loss 2.0558 (1.8017) Prec@1 57.031 (59.034) Prec@5 76.562 (80.839) Epoch: [38][5470/10010] Time 0.338 (0.327) Data 0.000 (0.001) Loss 1.9224 (1.8016) Prec@1 56.250 (59.035) Prec@5 76.562 (80.840) Epoch: [38][5480/10010] Time 0.329 (0.327) Data 0.000 (0.001) Loss 2.0295 (1.8016) Prec@1 57.031 (59.036) Prec@5 78.125 (80.841) Epoch: [38][5490/10010] Time 0.332 (0.327) Data 0.001 (0.001) Loss 1.8058 (1.8017) Prec@1 60.156 (59.033) Prec@5 79.688 (80.840) Epoch: [38][5500/10010] Time 0.319 (0.327) Data 0.001 (0.001) Loss 2.1863 (1.8018) Prec@1 50.000 (59.030) Prec@5 72.656 (80.839) Epoch: [38][5510/10010] Time 0.333 (0.327) Data 0.000 (0.001) Loss 1.8944 (1.8017) Prec@1 53.906 (59.028) Prec@5 79.688 (80.839) Epoch: [38][5520/10010] Time 0.330 (0.327) Data 0.001 (0.001) Loss 1.9044 (1.8016) Prec@1 54.688 (59.029) Prec@5 77.344 (80.840) Epoch: [38][5530/10010] Time 0.315 (0.327) Data 0.001 (0.001) Loss 2.1487 (1.8017) Prec@1 58.594 (59.029) Prec@5 78.125 (80.841) Epoch: [38][5540/10010] Time 0.323 (0.327) Data 0.001 (0.001) Loss 1.8407 (1.8016) Prec@1 53.125 (59.031) Prec@5 83.594 (80.842) Epoch: [38][5550/10010] Time 0.317 (0.327) Data 0.000 (0.001) Loss 1.7877 (1.8016) Prec@1 53.906 (59.030) Prec@5 81.250 (80.840) Epoch: [38][5560/10010] Time 0.320 (0.327) Data 0.000 (0.001) Loss 2.2270 (1.8016) Prec@1 53.906 (59.031) Prec@5 71.875 (80.839) Epoch: [38][5570/10010] Time 0.326 (0.327) Data 0.001 (0.001) Loss 2.0440 (1.8017) Prec@1 53.125 (59.030) Prec@5 77.344 (80.838) Epoch: [38][5580/10010] Time 0.331 (0.327) Data 0.001 (0.001) Loss 1.6891 (1.8018) Prec@1 58.594 (59.027) Prec@5 81.250 (80.837) Epoch: [38][5590/10010] Time 0.336 (0.327) Data 0.001 (0.001) Loss 1.4672 (1.8017) Prec@1 66.406 (59.028) Prec@5 85.156 (80.838) Epoch: [38][5600/10010] Time 0.336 (0.327) Data 0.000 (0.001) Loss 1.8543 (1.8016) Prec@1 56.250 (59.030) Prec@5 81.250 (80.843) Epoch: [38][5610/10010] Time 0.330 (0.327) Data 0.001 (0.001) Loss 1.5380 (1.8017) Prec@1 63.281 (59.028) Prec@5 82.031 (80.841) Epoch: [38][5620/10010] Time 0.337 (0.327) Data 0.001 (0.001) Loss 1.9297 (1.8017) Prec@1 60.156 (59.030) Prec@5 80.469 (80.843) Epoch: [38][5630/10010] Time 0.320 (0.327) Data 0.000 (0.001) Loss 1.9042 (1.8019) Prec@1 53.906 (59.026) Prec@5 77.344 (80.839) Epoch: [38][5640/10010] Time 0.323 (0.327) Data 0.000 (0.001) Loss 1.9144 (1.8019) Prec@1 53.125 (59.027) Prec@5 78.906 (80.838) Epoch: [38][5650/10010] Time 0.327 (0.327) Data 0.000 (0.001) Loss 1.9677 (1.8020) Prec@1 54.688 (59.023) Prec@5 78.125 (80.836) Epoch: [38][5660/10010] Time 0.323 (0.327) Data 0.000 (0.001) Loss 2.3758 (1.8021) Prec@1 50.000 (59.023) Prec@5 76.562 (80.835) Epoch: [38][5670/10010] Time 0.333 (0.327) Data 0.001 (0.001) Loss 1.9610 (1.8021) Prec@1 57.812 (59.021) Prec@5 78.125 (80.835) Epoch: [38][5680/10010] Time 0.331 (0.327) Data 0.001 (0.001) Loss 1.9226 (1.8023) Prec@1 56.250 (59.015) Prec@5 80.469 (80.833) Epoch: [38][5690/10010] Time 0.319 (0.327) Data 0.001 (0.001) Loss 2.1775 (1.8023) Prec@1 49.219 (59.014) Prec@5 74.219 (80.831) Epoch: [38][5700/10010] Time 0.322 (0.327) Data 0.001 (0.001) Loss 1.6908 (1.8024) Prec@1 57.812 (59.013) Prec@5 82.031 (80.831) Epoch: [38][5710/10010] Time 0.313 (0.327) Data 0.001 (0.001) Loss 1.8562 (1.8024) Prec@1 53.125 (59.012) Prec@5 80.469 (80.830) Epoch: [38][5720/10010] Time 0.336 (0.327) Data 0.001 (0.001) Loss 1.7883 (1.8023) Prec@1 54.688 (59.011) Prec@5 82.812 (80.832) Epoch: [38][5730/10010] Time 0.323 (0.327) Data 0.001 (0.001) Loss 1.8378 (1.8025) Prec@1 54.688 (59.007) Prec@5 80.469 (80.831) Epoch: [38][5740/10010] Time 0.319 (0.327) Data 0.001 (0.001) Loss 2.3022 (1.8026) Prec@1 49.219 (59.004) Prec@5 78.125 (80.830) Epoch: [38][5750/10010] Time 0.337 (0.327) Data 0.001 (0.001) Loss 1.8731 (1.8026) Prec@1 58.594 (59.004) Prec@5 75.781 (80.830) Epoch: [38][5760/10010] Time 0.319 (0.327) Data 0.001 (0.001) Loss 1.9284 (1.8026) Prec@1 53.906 (59.004) Prec@5 82.812 (80.829) Epoch: [38][5770/10010] Time 0.322 (0.327) Data 0.001 (0.001) Loss 2.1466 (1.8025) Prec@1 50.781 (59.003) Prec@5 78.125 (80.831) Epoch: [38][5780/10010] Time 0.318 (0.327) Data 0.001 (0.001) Loss 2.0741 (1.8025) Prec@1 54.688 (59.004) Prec@5 77.344 (80.832) Epoch: [38][5790/10010] Time 0.324 (0.327) Data 0.001 (0.001) Loss 2.1621 (1.8026) Prec@1 52.344 (59.003) Prec@5 72.656 (80.830) Epoch: [38][5800/10010] Time 0.312 (0.327) Data 0.001 (0.001) Loss 1.9476 (1.8027) Prec@1 58.594 (59.003) Prec@5 81.250 (80.830) Epoch: [38][5810/10010] Time 0.342 (0.327) Data 0.000 (0.001) Loss 1.7133 (1.8028) Prec@1 60.156 (58.997) Prec@5 82.812 (80.828) Epoch: [38][5820/10010] Time 0.335 (0.327) Data 0.000 (0.001) Loss 1.9526 (1.8028) Prec@1 54.688 (58.995) Prec@5 77.344 (80.826) Epoch: [38][5830/10010] Time 0.323 (0.327) Data 0.001 (0.001) Loss 2.2400 (1.8028) Prec@1 52.344 (58.992) Prec@5 77.344 (80.826) Epoch: [38][5840/10010] Time 0.338 (0.327) Data 0.001 (0.001) Loss 2.2493 (1.8030) Prec@1 47.656 (58.990) Prec@5 74.219 (80.823) Epoch: [38][5850/10010] Time 0.320 (0.327) Data 0.001 (0.001) Loss 1.5841 (1.8029) Prec@1 66.406 (58.993) Prec@5 81.250 (80.823) Epoch: [38][5860/10010] Time 0.337 (0.327) Data 0.000 (0.001) Loss 1.5831 (1.8030) Prec@1 61.719 (58.990) Prec@5 80.469 (80.822) Epoch: [38][5870/10010] Time 0.336 (0.327) Data 0.001 (0.001) Loss 1.8138 (1.8031) Prec@1 62.500 (58.986) Prec@5 79.688 (80.819) Epoch: [38][5880/10010] Time 0.329 (0.327) Data 0.001 (0.001) Loss 1.4619 (1.8030) Prec@1 66.406 (58.990) Prec@5 90.625 (80.821) Epoch: [38][5890/10010] Time 0.314 (0.327) Data 0.000 (0.001) Loss 1.9004 (1.8030) Prec@1 51.562 (58.991) Prec@5 82.031 (80.824) Epoch: [38][5900/10010] Time 0.330 (0.327) Data 0.001 (0.001) Loss 1.9494 (1.8030) Prec@1 55.469 (58.989) Prec@5 77.344 (80.822) Epoch: [38][5910/10010] Time 0.336 (0.327) Data 0.000 (0.001) Loss 1.7503 (1.8028) Prec@1 60.156 (58.993) Prec@5 80.469 (80.824) Epoch: [38][5920/10010] Time 0.324 (0.327) Data 0.000 (0.001) Loss 1.8804 (1.8029) Prec@1 54.688 (58.992) Prec@5 78.906 (80.823) Epoch: [38][5930/10010] Time 0.332 (0.327) Data 0.000 (0.001) Loss 1.6565 (1.8029) Prec@1 60.938 (58.995) Prec@5 81.250 (80.822) Epoch: [38][5940/10010] Time 0.318 (0.327) Data 0.001 (0.001) Loss 1.8091 (1.8028) Prec@1 54.688 (58.994) Prec@5 81.250 (80.823) Epoch: [38][5950/10010] Time 0.322 (0.327) Data 0.000 (0.001) Loss 2.0375 (1.8029) Prec@1 55.469 (58.992) Prec@5 77.344 (80.822) Epoch: [38][5960/10010] Time 0.336 (0.327) Data 0.001 (0.001) Loss 1.5424 (1.8029) Prec@1 64.844 (58.993) Prec@5 81.250 (80.822) Epoch: [38][5970/10010] Time 0.319 (0.327) Data 0.000 (0.001) Loss 1.6084 (1.8029) Prec@1 63.281 (58.993) Prec@5 82.031 (80.823) Epoch: [38][5980/10010] Time 0.334 (0.327) Data 0.000 (0.001) Loss 1.6669 (1.8030) Prec@1 63.281 (58.993) Prec@5 84.375 (80.820) Epoch: [38][5990/10010] Time 0.320 (0.327) Data 0.000 (0.001) Loss 1.9180 (1.8031) Prec@1 53.906 (58.989) Prec@5 80.469 (80.819) Epoch: [38][6000/10010] Time 0.335 (0.327) Data 0.000 (0.001) Loss 1.5343 (1.8031) Prec@1 64.062 (58.990) Prec@5 83.594 (80.819) Epoch: [38][6010/10010] Time 0.320 (0.327) Data 0.000 (0.001) Loss 1.9419 (1.8031) Prec@1 51.562 (58.990) Prec@5 78.906 (80.819) Epoch: [38][6020/10010] Time 0.337 (0.327) Data 0.000 (0.001) Loss 1.8762 (1.8031) Prec@1 60.156 (58.988) Prec@5 83.594 (80.818) Epoch: [38][6030/10010] Time 0.323 (0.327) Data 0.000 (0.001) Loss 1.4821 (1.8031) Prec@1 66.406 (58.991) Prec@5 84.375 (80.818) Epoch: [38][6040/10010] Time 0.331 (0.327) Data 0.000 (0.001) Loss 1.9767 (1.8031) Prec@1 57.031 (58.990) Prec@5 75.781 (80.819) Epoch: [38][6050/10010] Time 0.332 (0.327) Data 0.001 (0.001) Loss 1.6587 (1.8032) Prec@1 52.344 (58.988) Prec@5 85.156 (80.819) Epoch: [38][6060/10010] Time 0.338 (0.327) Data 0.001 (0.001) Loss 1.6157 (1.8032) Prec@1 60.938 (58.988) Prec@5 82.812 (80.817) Epoch: [38][6070/10010] Time 0.319 (0.327) Data 0.001 (0.001) Loss 1.6386 (1.8033) Prec@1 60.156 (58.983) Prec@5 82.031 (80.815) Epoch: [38][6080/10010] Time 0.327 (0.327) Data 0.000 (0.001) Loss 2.0135 (1.8034) Prec@1 58.594 (58.980) Prec@5 77.344 (80.812) Epoch: [38][6090/10010] Time 0.323 (0.327) Data 0.001 (0.001) Loss 1.9879 (1.8035) Prec@1 56.250 (58.980) Prec@5 78.125 (80.810) Epoch: [38][6100/10010] Time 0.323 (0.327) Data 0.000 (0.001) Loss 1.9599 (1.8035) Prec@1 57.812 (58.980) Prec@5 78.906 (80.810) Epoch: [38][6110/10010] Time 0.337 (0.327) Data 0.001 (0.001) Loss 1.7076 (1.8035) Prec@1 60.156 (58.981) Prec@5 82.812 (80.807) Epoch: [38][6120/10010] Time 0.318 (0.327) Data 0.000 (0.001) Loss 1.5478 (1.8035) Prec@1 67.969 (58.981) Prec@5 80.469 (80.806) Epoch: [38][6130/10010] Time 0.326 (0.327) Data 0.000 (0.001) Loss 1.9422 (1.8035) Prec@1 52.344 (58.980) Prec@5 78.125 (80.804) Epoch: [38][6140/10010] Time 0.319 (0.327) Data 0.000 (0.001) Loss 1.8439 (1.8035) Prec@1 53.125 (58.979) Prec@5 80.469 (80.804) Epoch: [38][6150/10010] Time 0.317 (0.327) Data 0.001 (0.001) Loss 2.3856 (1.8037) Prec@1 46.875 (58.975) Prec@5 71.875 (80.800) Epoch: [38][6160/10010] Time 0.314 (0.327) Data 0.000 (0.001) Loss 1.6249 (1.8038) Prec@1 63.281 (58.974) Prec@5 84.375 (80.797) Epoch: [38][6170/10010] Time 0.328 (0.327) Data 0.001 (0.001) Loss 2.0943 (1.8040) Prec@1 53.125 (58.969) Prec@5 72.656 (80.793) Epoch: [38][6180/10010] Time 0.320 (0.327) Data 0.001 (0.001) Loss 1.6181 (1.8040) Prec@1 65.625 (58.970) Prec@5 85.938 (80.795) Epoch: [38][6190/10010] Time 0.318 (0.327) Data 0.001 (0.001) Loss 1.7177 (1.8040) Prec@1 60.938 (58.969) Prec@5 81.250 (80.795) Epoch: [38][6200/10010] Time 0.320 (0.327) Data 0.001 (0.001) Loss 2.1316 (1.8043) Prec@1 52.344 (58.964) Prec@5 78.906 (80.793) Epoch: [38][6210/10010] Time 0.333 (0.327) Data 0.000 (0.001) Loss 1.9025 (1.8043) Prec@1 55.469 (58.966) Prec@5 82.031 (80.792) Epoch: [38][6220/10010] Time 0.334 (0.327) Data 0.001 (0.001) Loss 2.0360 (1.8046) Prec@1 53.125 (58.964) Prec@5 81.250 (80.788) Epoch: [38][6230/10010] Time 0.328 (0.327) Data 0.001 (0.001) Loss 1.9210 (1.8047) Prec@1 53.906 (58.963) Prec@5 80.469 (80.787) Epoch: [38][6240/10010] Time 0.336 (0.327) Data 0.000 (0.001) Loss 1.9877 (1.8046) Prec@1 51.562 (58.961) Prec@5 77.344 (80.785) Epoch: [38][6250/10010] Time 0.337 (0.327) Data 0.001 (0.001) Loss 1.9729 (1.8047) Prec@1 54.688 (58.960) Prec@5 79.688 (80.783) Epoch: [38][6260/10010] Time 0.319 (0.327) Data 0.001 (0.001) Loss 1.6263 (1.8047) Prec@1 60.938 (58.963) Prec@5 85.156 (80.784) Epoch: [38][6270/10010] Time 0.327 (0.327) Data 0.001 (0.001) Loss 1.6479 (1.8048) Prec@1 67.969 (58.964) Prec@5 81.250 (80.780) Epoch: [38][6280/10010] Time 0.319 (0.327) Data 0.001 (0.001) Loss 2.1283 (1.8049) Prec@1 60.938 (58.963) Prec@5 75.781 (80.776) Epoch: [38][6290/10010] Time 0.334 (0.327) Data 0.000 (0.001) Loss 1.9252 (1.8050) Prec@1 61.719 (58.961) Prec@5 78.125 (80.774) Epoch: [38][6300/10010] Time 0.319 (0.327) Data 0.001 (0.001) Loss 1.9150 (1.8051) Prec@1 57.812 (58.959) Prec@5 82.812 (80.775) Epoch: [38][6310/10010] Time 0.332 (0.327) Data 0.001 (0.001) Loss 1.9473 (1.8050) Prec@1 51.562 (58.959) Prec@5 77.344 (80.776) Epoch: [38][6320/10010] Time 0.325 (0.327) Data 0.000 (0.001) Loss 1.8257 (1.8050) Prec@1 62.500 (58.963) Prec@5 78.906 (80.775) Epoch: [38][6330/10010] Time 0.334 (0.327) Data 0.000 (0.001) Loss 1.8408 (1.8052) Prec@1 57.031 (58.959) Prec@5 84.375 (80.774) Epoch: [38][6340/10010] Time 0.330 (0.327) Data 0.001 (0.001) Loss 1.9721 (1.8053) Prec@1 58.594 (58.959) Prec@5 74.219 (80.769) Epoch: [38][6350/10010] Time 0.346 (0.327) Data 0.001 (0.001) Loss 1.9412 (1.8051) Prec@1 59.375 (58.963) Prec@5 78.906 (80.771) Epoch: [38][6360/10010] Time 0.336 (0.327) Data 0.000 (0.001) Loss 1.8813 (1.8049) Prec@1 56.250 (58.966) Prec@5 82.812 (80.774) Epoch: [38][6370/10010] Time 0.327 (0.327) Data 0.001 (0.001) Loss 1.8987 (1.8050) Prec@1 59.375 (58.966) Prec@5 81.250 (80.775) Epoch: [38][6380/10010] Time 0.326 (0.327) Data 0.001 (0.001) Loss 1.8005 (1.8051) Prec@1 59.375 (58.966) Prec@5 80.469 (80.775) Epoch: [38][6390/10010] Time 0.341 (0.327) Data 0.001 (0.001) Loss 1.5926 (1.8053) Prec@1 60.938 (58.963) Prec@5 82.031 (80.769) Epoch: [38][6400/10010] Time 0.322 (0.327) Data 0.000 (0.001) Loss 1.6745 (1.8053) Prec@1 65.625 (58.962) Prec@5 80.469 (80.768) Epoch: [38][6410/10010] Time 0.315 (0.327) Data 0.001 (0.001) Loss 1.7623 (1.8052) Prec@1 60.156 (58.963) Prec@5 80.469 (80.769) Epoch: [38][6420/10010] Time 0.325 (0.327) Data 0.001 (0.001) Loss 1.7488 (1.8053) Prec@1 58.594 (58.963) Prec@5 81.250 (80.770) Epoch: [38][6430/10010] Time 0.329 (0.327) Data 0.000 (0.001) Loss 1.4270 (1.8053) Prec@1 64.844 (58.963) Prec@5 86.719 (80.769) Epoch: [38][6440/10010] Time 0.328 (0.327) Data 0.001 (0.001) Loss 1.9935 (1.8053) Prec@1 50.000 (58.959) Prec@5 78.906 (80.767) Epoch: [38][6450/10010] Time 0.336 (0.327) Data 0.001 (0.001) Loss 1.7231 (1.8053) Prec@1 61.719 (58.958) Prec@5 81.250 (80.770) Epoch: [38][6460/10010] Time 0.335 (0.327) Data 0.001 (0.001) Loss 1.8514 (1.8052) Prec@1 60.156 (58.960) Prec@5 78.125 (80.773) Epoch: [38][6470/10010] Time 0.335 (0.327) Data 0.001 (0.001) Loss 1.7755 (1.8052) Prec@1 61.719 (58.961) Prec@5 79.688 (80.771) Epoch: [38][6480/10010] Time 0.326 (0.327) Data 0.001 (0.001) Loss 1.6160 (1.8053) Prec@1 64.844 (58.962) Prec@5 84.375 (80.770) Epoch: [38][6490/10010] Time 0.321 (0.327) Data 0.001 (0.001) Loss 1.9361 (1.8052) Prec@1 57.812 (58.962) Prec@5 78.125 (80.769) Epoch: [38][6500/10010] Time 0.319 (0.327) Data 0.000 (0.001) Loss 1.5555 (1.8051) Prec@1 64.844 (58.965) Prec@5 82.812 (80.769) /data/vision/torralba/deepscene/lib/anaconda2/lib/python2.7/site-packages/PIL/TiffImagePlugin.py:692: UserWarning: Possibly corrupt EXIF data. Expecting to read 2555904 bytes but only got 0. Skipping tag 0 "Skipping tag %s" % (size, len(data), tag)) Epoch: [38][6510/10010] Time 0.328 (0.327) Data 0.000 (0.001) Loss 1.4044 (1.8051) Prec@1 71.875 (58.966) Prec@5 85.938 (80.768) Epoch: [38][6520/10010] Time 0.334 (0.327) Data 0.001 (0.001) Loss 1.5693 (1.8052) Prec@1 58.594 (58.966) Prec@5 87.500 (80.769) Epoch: [38][6530/10010] Time 0.333 (0.327) Data 0.001 (0.001) Loss 1.9747 (1.8053) Prec@1 58.594 (58.965) Prec@5 79.688 (80.767) Epoch: [38][6540/10010] Time 0.337 (0.327) Data 0.001 (0.001) Loss 1.4892 (1.8054) Prec@1 65.625 (58.961) Prec@5 87.500 (80.764) Epoch: [38][6550/10010] Time 0.336 (0.327) Data 0.003 (0.001) Loss 1.9457 (1.8054) Prec@1 51.562 (58.958) Prec@5 80.469 (80.764) Epoch: [38][6560/10010] Time 0.319 (0.327) Data 0.000 (0.001) Loss 1.7683 (1.8054) Prec@1 57.031 (58.958) Prec@5 78.125 (80.764) Epoch: [38][6570/10010] Time 0.336 (0.327) Data 0.001 (0.001) Loss 2.0695 (1.8054) Prec@1 51.562 (58.957) Prec@5 75.000 (80.764) Epoch: [38][6580/10010] Time 0.326 (0.327) Data 0.001 (0.001) Loss 1.6300 (1.8054) Prec@1 60.156 (58.957) Prec@5 85.938 (80.765) Epoch: [38][6590/10010] Time 0.340 (0.327) Data 0.000 (0.001) Loss 1.8065 (1.8055) Prec@1 58.594 (58.955) Prec@5 79.688 (80.765) Epoch: [38][6600/10010] Time 0.337 (0.327) Data 0.000 (0.001) Loss 1.8406 (1.8055) Prec@1 59.375 (58.953) Prec@5 83.594 (80.765) Epoch: [38][6610/10010] Time 0.317 (0.327) Data 0.001 (0.001) Loss 1.5736 (1.8055) Prec@1 62.500 (58.953) Prec@5 82.812 (80.765) Epoch: [38][6620/10010] Time 0.321 (0.327) Data 0.001 (0.001) Loss 1.9327 (1.8055) Prec@1 57.031 (58.951) Prec@5 81.250 (80.765) Epoch: [38][6630/10010] Time 0.333 (0.327) Data 0.001 (0.001) Loss 1.6781 (1.8056) Prec@1 60.938 (58.948) Prec@5 82.031 (80.764) Epoch: [38][6640/10010] Time 0.332 (0.327) Data 0.001 (0.001) Loss 1.5495 (1.8056) Prec@1 65.625 (58.948) Prec@5 83.594 (80.763) Epoch: [38][6650/10010] Time 0.338 (0.327) Data 0.000 (0.001) Loss 1.5431 (1.8056) Prec@1 62.500 (58.948) Prec@5 86.719 (80.763) Epoch: [38][6660/10010] Time 0.338 (0.327) Data 0.001 (0.001) Loss 1.8708 (1.8058) Prec@1 61.719 (58.946) Prec@5 80.469 (80.761) Epoch: [38][6670/10010] Time 0.323 (0.327) Data 0.001 (0.001) Loss 2.0981 (1.8058) Prec@1 47.656 (58.943) Prec@5 75.000 (80.760) Epoch: [38][6680/10010] Time 0.324 (0.327) Data 0.001 (0.001) Loss 2.2479 (1.8059) Prec@1 52.344 (58.943) Prec@5 75.000 (80.758) Epoch: [38][6690/10010] Time 0.314 (0.327) Data 0.001 (0.001) Loss 1.5227 (1.8059) Prec@1 64.062 (58.945) Prec@5 81.250 (80.758) Epoch: [38][6700/10010] Time 0.332 (0.327) Data 0.001 (0.001) Loss 1.7162 (1.8060) Prec@1 61.719 (58.942) Prec@5 81.250 (80.757) Epoch: [38][6710/10010] Time 0.333 (0.327) Data 0.000 (0.001) Loss 1.7270 (1.8060) Prec@1 61.719 (58.944) Prec@5 80.469 (80.757) Epoch: [38][6720/10010] Time 0.343 (0.327) Data 0.000 (0.001) Loss 1.5334 (1.8061) Prec@1 67.188 (58.943) Prec@5 82.031 (80.754) Epoch: [38][6730/10010] Time 0.337 (0.327) Data 0.000 (0.001) Loss 1.7374 (1.8061) Prec@1 60.938 (58.942) Prec@5 81.250 (80.752) Epoch: [38][6740/10010] Time 0.339 (0.327) Data 0.000 (0.001) Loss 1.8983 (1.8061) Prec@1 57.812 (58.941) Prec@5 78.906 (80.752) Epoch: [38][6750/10010] Time 0.332 (0.327) Data 0.001 (0.001) Loss 2.2090 (1.8063) Prec@1 54.688 (58.939) Prec@5 75.781 (80.750) Epoch: [38][6760/10010] Time 0.323 (0.327) Data 0.001 (0.001) Loss 1.6384 (1.8062) Prec@1 66.406 (58.942) Prec@5 79.688 (80.748) Epoch: [38][6770/10010] Time 0.324 (0.327) Data 0.001 (0.001) Loss 2.0623 (1.8063) Prec@1 52.344 (58.940) Prec@5 76.562 (80.748) Epoch: [38][6780/10010] Time 0.324 (0.327) Data 0.000 (0.001) Loss 1.9455 (1.8064) Prec@1 53.906 (58.940) Prec@5 79.688 (80.745) Epoch: [38][6790/10010] Time 0.318 (0.327) Data 0.001 (0.001) Loss 1.8445 (1.8063) Prec@1 53.906 (58.941) Prec@5 78.906 (80.748) Epoch: [38][6800/10010] Time 0.339 (0.327) Data 0.001 (0.001) Loss 1.7222 (1.8062) Prec@1 62.500 (58.942) Prec@5 82.031 (80.751) Epoch: [38][6810/10010] Time 0.320 (0.327) Data 0.000 (0.001) Loss 1.8048 (1.8063) Prec@1 58.594 (58.942) Prec@5 84.375 (80.750) Epoch: [38][6820/10010] Time 0.329 (0.327) Data 0.000 (0.001) Loss 1.8310 (1.8063) Prec@1 60.156 (58.943) Prec@5 82.812 (80.751) Epoch: [38][6830/10010] Time 0.323 (0.327) Data 0.001 (0.001) Loss 1.7849 (1.8063) Prec@1 60.156 (58.942) Prec@5 82.812 (80.751) Epoch: [38][6840/10010] Time 0.324 (0.327) Data 0.000 (0.001) Loss 1.5377 (1.8063) Prec@1 60.156 (58.943) Prec@5 85.156 (80.751) Epoch: [38][6850/10010] Time 0.338 (0.327) Data 0.000 (0.001) Loss 1.8499 (1.8063) Prec@1 60.938 (58.943) Prec@5 78.906 (80.751) Epoch: [38][6860/10010] Time 0.328 (0.327) Data 0.001 (0.001) Loss 2.1735 (1.8065) Prec@1 51.562 (58.939) Prec@5 75.000 (80.748) Epoch: [38][6870/10010] Time 0.334 (0.327) Data 0.000 (0.001) Loss 1.6549 (1.8065) Prec@1 60.938 (58.937) Prec@5 82.031 (80.748) Epoch: [38][6880/10010] Time 0.337 (0.327) Data 0.000 (0.001) Loss 2.0343 (1.8066) Prec@1 54.688 (58.938) Prec@5 75.000 (80.748) Epoch: [38][6890/10010] Time 0.323 (0.327) Data 0.001 (0.001) Loss 1.7930 (1.8065) Prec@1 60.938 (58.940) Prec@5 82.031 (80.750) Epoch: [38][6900/10010] Time 0.329 (0.327) Data 0.001 (0.001) Loss 1.8429 (1.8066) Prec@1 54.688 (58.937) Prec@5 77.344 (80.748) Epoch: [38][6910/10010] Time 0.339 (0.327) Data 0.000 (0.001) Loss 1.7870 (1.8067) Prec@1 61.719 (58.934) Prec@5 80.469 (80.745) Epoch: [38][6920/10010] Time 0.327 (0.327) Data 0.001 (0.001) Loss 1.6964 (1.8067) Prec@1 57.031 (58.934) Prec@5 82.812 (80.746) Epoch: [38][6930/10010] Time 0.336 (0.327) Data 0.000 (0.001) Loss 1.9596 (1.8068) Prec@1 54.688 (58.932) Prec@5 78.906 (80.745) Epoch: [38][6940/10010] Time 0.325 (0.327) Data 0.001 (0.001) Loss 1.7488 (1.8068) Prec@1 60.938 (58.934) Prec@5 78.906 (80.742) Epoch: [38][6950/10010] Time 0.320 (0.327) Data 0.001 (0.001) Loss 1.7247 (1.8068) Prec@1 60.156 (58.932) Prec@5 81.250 (80.741) Epoch: [38][6960/10010] Time 0.328 (0.327) Data 0.001 (0.001) Loss 1.9783 (1.8070) Prec@1 53.906 (58.930) Prec@5 75.781 (80.740) Epoch: [38][6970/10010] Time 0.338 (0.327) Data 0.001 (0.001) Loss 1.6124 (1.8070) Prec@1 61.719 (58.931) Prec@5 83.594 (80.741) Epoch: [38][6980/10010] Time 0.333 (0.327) Data 0.000 (0.001) Loss 2.1906 (1.8070) Prec@1 50.781 (58.932) Prec@5 72.656 (80.741) /data/vision/torralba/deepscene/lib/anaconda2/lib/python2.7/site-packages/PIL/TiffImagePlugin.py:692: UserWarning: Possibly corrupt EXIF data. Expecting to read 19660800 bytes but only got 0. Skipping tag 0 "Skipping tag %s" % (size, len(data), tag)) /data/vision/torralba/deepscene/lib/anaconda2/lib/python2.7/site-packages/PIL/TiffImagePlugin.py:692: UserWarning: Possibly corrupt EXIF data. Expecting to read 18481152 bytes but only got 0. Skipping tag 0 "Skipping tag %s" % (size, len(data), tag)) /data/vision/torralba/deepscene/lib/anaconda2/lib/python2.7/site-packages/PIL/TiffImagePlugin.py:692: UserWarning: Possibly corrupt EXIF data. Expecting to read 37093376 bytes but only got 0. Skipping tag 0 "Skipping tag %s" % (size, len(data), tag)) /data/vision/torralba/deepscene/lib/anaconda2/lib/python2.7/site-packages/PIL/TiffImagePlugin.py:692: UserWarning: Possibly corrupt EXIF data. Expecting to read 39976960 bytes but only got 0. Skipping tag 0 "Skipping tag %s" % (size, len(data), tag)) /data/vision/torralba/deepscene/lib/anaconda2/lib/python2.7/site-packages/PIL/TiffImagePlugin.py:692: UserWarning: Possibly corrupt EXIF data. Expecting to read 34865152 bytes but only got 0. Skipping tag 0 "Skipping tag %s" % (size, len(data), tag)) /data/vision/torralba/deepscene/lib/anaconda2/lib/python2.7/site-packages/PIL/TiffImagePlugin.py:709: UserWarning: Corrupt EXIF data. Expecting to read 12 bytes but only got 10. warnings.warn(str(msg)) Epoch: [38][6990/10010] Time 0.321 (0.327) Data 0.001 (0.001) Loss 1.7745 (1.8071) Prec@1 57.812 (58.929) Prec@5 81.250 (80.739) Epoch: [38][7000/10010] Time 0.313 (0.327) Data 0.001 (0.001) Loss 1.8860 (1.8072) Prec@1 59.375 (58.926) Prec@5 81.250 (80.739) Epoch: [38][7010/10010] Time 0.329 (0.327) Data 0.000 (0.001) Loss 2.1360 (1.8072) Prec@1 52.344 (58.924) Prec@5 75.000 (80.738) Epoch: [38][7020/10010] Time 0.316 (0.327) Data 0.001 (0.001) Loss 1.8054 (1.8073) Prec@1 62.500 (58.925) Prec@5 79.688 (80.737) Epoch: [38][7030/10010] Time 0.321 (0.327) Data 0.000 (0.001) Loss 1.9105 (1.8072) Prec@1 53.906 (58.925) Prec@5 78.125 (80.739) Epoch: [38][7040/10010] Time 0.320 (0.327) Data 0.001 (0.001) Loss 1.9318 (1.8072) Prec@1 59.375 (58.925) Prec@5 81.250 (80.739) Epoch: [38][7050/10010] Time 0.326 (0.327) Data 0.001 (0.001) Loss 1.8736 (1.8073) Prec@1 60.156 (58.922) Prec@5 82.031 (80.740) Epoch: [38][7060/10010] Time 0.332 (0.327) Data 0.001 (0.001) Loss 1.7752 (1.8073) Prec@1 61.719 (58.921) Prec@5 82.031 (80.739) Epoch: [38][7070/10010] Time 0.335 (0.327) Data 0.000 (0.001) Loss 1.6173 (1.8073) Prec@1 64.844 (58.921) Prec@5 82.812 (80.739) Epoch: [38][7080/10010] Time 0.317 (0.327) Data 0.001 (0.001) Loss 1.7459 (1.8072) Prec@1 55.469 (58.923) Prec@5 82.812 (80.741) Epoch: [38][7090/10010] Time 0.328 (0.327) Data 0.001 (0.001) Loss 1.9779 (1.8073) Prec@1 52.344 (58.920) Prec@5 79.688 (80.739) Epoch: [38][7100/10010] Time 0.327 (0.327) Data 0.001 (0.001) Loss 1.9678 (1.8074) Prec@1 57.031 (58.918) Prec@5 82.812 (80.738) Epoch: [38][7110/10010] Time 0.333 (0.327) Data 0.000 (0.001) Loss 1.8836 (1.8077) Prec@1 56.250 (58.915) Prec@5 81.250 (80.734) Epoch: [38][7120/10010] Time 0.328 (0.327) Data 0.001 (0.001) Loss 2.0653 (1.8076) Prec@1 52.344 (58.917) Prec@5 76.562 (80.735) Epoch: [38][7130/10010] Time 0.323 (0.327) Data 0.001 (0.001) Loss 1.8187 (1.8075) Prec@1 58.594 (58.920) Prec@5 75.781 (80.736) Epoch: [38][7140/10010] Time 0.336 (0.327) Data 0.001 (0.001) Loss 2.2316 (1.8076) Prec@1 52.344 (58.916) Prec@5 69.531 (80.735) Epoch: [38][7150/10010] Time 0.311 (0.327) Data 0.000 (0.001) Loss 1.7669 (1.8077) Prec@1 60.156 (58.915) Prec@5 79.688 (80.734) Epoch: [38][7160/10010] Time 0.314 (0.327) Data 0.001 (0.001) Loss 2.0293 (1.8077) Prec@1 51.562 (58.915) Prec@5 78.906 (80.734) Epoch: [38][7170/10010] Time 0.319 (0.327) Data 0.001 (0.001) Loss 1.5702 (1.8077) Prec@1 64.844 (58.913) Prec@5 85.938 (80.735) Epoch: [38][7180/10010] Time 0.325 (0.327) Data 0.001 (0.001) Loss 2.2040 (1.8079) Prec@1 55.469 (58.909) Prec@5 72.656 (80.731) Epoch: [38][7190/10010] Time 0.326 (0.327) Data 0.001 (0.001) Loss 1.7155 (1.8079) Prec@1 60.938 (58.908) Prec@5 81.250 (80.731) Epoch: [38][7200/10010] Time 0.326 (0.327) Data 0.001 (0.001) Loss 1.6223 (1.8080) Prec@1 63.281 (58.908) Prec@5 82.812 (80.731) Epoch: [38][7210/10010] Time 0.321 (0.327) Data 0.000 (0.001) Loss 2.0191 (1.8081) Prec@1 54.688 (58.908) Prec@5 75.000 (80.730) Epoch: [38][7220/10010] Time 0.318 (0.327) Data 0.001 (0.001) Loss 1.7361 (1.8080) Prec@1 56.250 (58.908) Prec@5 78.906 (80.731) Epoch: [38][7230/10010] Time 0.341 (0.327) Data 0.001 (0.001) Loss 2.1877 (1.8082) Prec@1 46.094 (58.904) Prec@5 74.219 (80.729) Epoch: [38][7240/10010] Time 0.342 (0.327) Data 0.001 (0.001) Loss 1.7136 (1.8081) Prec@1 60.938 (58.905) Prec@5 86.719 (80.731) Epoch: [38][7250/10010] Time 0.336 (0.327) Data 0.001 (0.001) Loss 1.5625 (1.8080) Prec@1 60.938 (58.906) Prec@5 88.281 (80.734) Epoch: [38][7260/10010] Time 0.313 (0.327) Data 0.000 (0.001) Loss 1.6800 (1.8080) Prec@1 60.938 (58.907) Prec@5 81.250 (80.734) Epoch: [38][7270/10010] Time 0.339 (0.327) Data 0.001 (0.001) Loss 1.9293 (1.8081) Prec@1 64.062 (58.907) Prec@5 77.344 (80.734) Epoch: [38][7280/10010] Time 0.319 (0.327) Data 0.001 (0.001) Loss 2.4065 (1.8082) Prec@1 50.000 (58.905) Prec@5 72.656 (80.734) Epoch: [38][7290/10010] Time 0.337 (0.327) Data 0.001 (0.001) Loss 2.0007 (1.8081) Prec@1 60.938 (58.906) Prec@5 80.469 (80.736) Epoch: [38][7300/10010] Time 0.329 (0.327) Data 0.000 (0.001) Loss 1.6244 (1.8082) Prec@1 65.625 (58.906) Prec@5 83.594 (80.736) Epoch: [38][7310/10010] Time 0.334 (0.327) Data 0.001 (0.001) Loss 1.5274 (1.8081) Prec@1 65.625 (58.906) Prec@5 84.375 (80.736) Epoch: [38][7320/10010] Time 0.321 (0.327) Data 0.001 (0.001) Loss 1.7391 (1.8082) Prec@1 57.812 (58.902) Prec@5 85.938 (80.736) Epoch: [38][7330/10010] Time 0.339 (0.327) Data 0.000 (0.001) Loss 2.2759 (1.8083) Prec@1 50.781 (58.901) Prec@5 72.656 (80.733) Epoch: [38][7340/10010] Time 0.326 (0.327) Data 0.001 (0.001) Loss 1.9292 (1.8084) Prec@1 53.125 (58.900) Prec@5 78.906 (80.733) Epoch: [38][7350/10010] Time 0.326 (0.327) Data 0.001 (0.001) Loss 2.1663 (1.8083) Prec@1 53.125 (58.901) Prec@5 74.219 (80.734) Epoch: [38][7360/10010] Time 0.328 (0.327) Data 0.001 (0.001) Loss 1.4035 (1.8083) Prec@1 68.750 (58.901) Prec@5 84.375 (80.735) Epoch: [38][7370/10010] Time 0.330 (0.327) Data 0.001 (0.001) Loss 1.8501 (1.8083) Prec@1 60.156 (58.903) Prec@5 77.344 (80.734) Epoch: [38][7380/10010] Time 0.326 (0.327) Data 0.001 (0.001) Loss 1.7369 (1.8081) Prec@1 62.500 (58.906) Prec@5 84.375 (80.738) Epoch: [38][7390/10010] Time 0.315 (0.327) Data 0.001 (0.001) Loss 1.8010 (1.8082) Prec@1 58.594 (58.906) Prec@5 78.906 (80.738) Epoch: [38][7400/10010] Time 0.334 (0.327) Data 0.001 (0.001) Loss 2.1755 (1.8082) Prec@1 53.125 (58.906) Prec@5 71.875 (80.737) Epoch: [38][7410/10010] Time 0.321 (0.327) Data 0.001 (0.001) Loss 1.8379 (1.8082) Prec@1 61.719 (58.906) Prec@5 81.250 (80.738) Epoch: [38][7420/10010] Time 0.325 (0.327) Data 0.001 (0.001) Loss 1.8868 (1.8083) Prec@1 58.594 (58.907) Prec@5 82.031 (80.737) Epoch: [38][7430/10010] Time 0.336 (0.327) Data 0.000 (0.001) Loss 2.1376 (1.8085) Prec@1 55.469 (58.904) Prec@5 73.438 (80.733) Epoch: [38][7440/10010] Time 0.323 (0.327) Data 0.001 (0.001) Loss 2.0607 (1.8086) Prec@1 55.469 (58.904) Prec@5 76.562 (80.731) Epoch: [38][7450/10010] Time 0.337 (0.327) Data 0.000 (0.001) Loss 1.8881 (1.8086) Prec@1 57.812 (58.903) Prec@5 75.781 (80.729) Epoch: [38][7460/10010] Time 0.314 (0.327) Data 0.000 (0.001) Loss 1.7397 (1.8088) Prec@1 58.594 (58.900) Prec@5 87.500 (80.726) Epoch: [38][7470/10010] Time 0.318 (0.327) Data 0.001 (0.001) Loss 1.7994 (1.8088) Prec@1 59.375 (58.900) Prec@5 79.688 (80.726) Epoch: [38][7480/10010] Time 0.320 (0.327) Data 0.000 (0.001) Loss 1.7043 (1.8089) Prec@1 60.156 (58.899) Prec@5 82.031 (80.726) Epoch: [38][7490/10010] Time 0.317 (0.327) Data 0.001 (0.001) Loss 1.9612 (1.8089) Prec@1 56.250 (58.897) Prec@5 75.781 (80.727) Epoch: [38][7500/10010] Time 0.304 (0.327) Data 0.000 (0.001) Loss 1.8999 (1.8090) Prec@1 56.250 (58.892) Prec@5 78.906 (80.724) Epoch: [38][7510/10010] Time 0.329 (0.327) Data 0.001 (0.001) Loss 1.6538 (1.8090) Prec@1 63.281 (58.892) Prec@5 83.594 (80.725) Epoch: [38][7520/10010] Time 0.313 (0.327) Data 0.001 (0.001) Loss 1.7046 (1.8090) Prec@1 60.156 (58.891) Prec@5 81.250 (80.726) Epoch: [38][7530/10010] Time 0.320 (0.327) Data 0.001 (0.001) Loss 1.8995 (1.8089) Prec@1 60.156 (58.894) Prec@5 81.250 (80.728) Epoch: [38][7540/10010] Time 0.317 (0.327) Data 0.001 (0.001) Loss 1.7402 (1.8089) Prec@1 59.375 (58.895) Prec@5 79.688 (80.729) Epoch: [38][7550/10010] Time 0.331 (0.327) Data 0.001 (0.001) Loss 1.7236 (1.8087) Prec@1 57.812 (58.896) Prec@5 84.375 (80.734) Epoch: [38][7560/10010] Time 0.332 (0.327) Data 0.000 (0.001) Loss 2.1312 (1.8089) Prec@1 50.781 (58.891) Prec@5 72.656 (80.731) Epoch: [38][7570/10010] Time 0.329 (0.327) Data 0.001 (0.001) Loss 1.8826 (1.8089) Prec@1 48.438 (58.891) Prec@5 82.812 (80.732) Epoch: [38][7580/10010] Time 0.335 (0.327) Data 0.001 (0.001) Loss 1.8757 (1.8089) Prec@1 57.812 (58.889) Prec@5 75.781 (80.730) Epoch: [38][7590/10010] Time 0.321 (0.327) Data 0.000 (0.001) Loss 1.9463 (1.8089) Prec@1 56.250 (58.889) Prec@5 78.906 (80.729) Epoch: [38][7600/10010] Time 0.326 (0.327) Data 0.000 (0.001) Loss 1.9486 (1.8088) Prec@1 57.812 (58.891) Prec@5 75.781 (80.730) Epoch: [38][7610/10010] Time 0.331 (0.327) Data 0.001 (0.001) Loss 1.9016 (1.8088) Prec@1 62.500 (58.893) Prec@5 79.688 (80.731) Epoch: [38][7620/10010] Time 0.341 (0.327) Data 0.001 (0.001) Loss 2.0382 (1.8088) Prec@1 57.031 (58.892) Prec@5 76.562 (80.730) Epoch: [38][7630/10010] Time 0.334 (0.327) Data 0.000 (0.001) Loss 1.5154 (1.8087) Prec@1 65.625 (58.895) Prec@5 84.375 (80.731) Epoch: [38][7640/10010] Time 0.327 (0.327) Data 0.000 (0.001) Loss 1.9136 (1.8088) Prec@1 51.562 (58.892) Prec@5 77.344 (80.730) Epoch: [38][7650/10010] Time 0.317 (0.327) Data 0.001 (0.001) Loss 1.9187 (1.8090) Prec@1 55.469 (58.890) Prec@5 80.469 (80.729) Epoch: [38][7660/10010] Time 0.318 (0.327) Data 0.001 (0.001) Loss 1.7953 (1.8091) Prec@1 63.281 (58.887) Prec@5 79.688 (80.726) Epoch: [38][7670/10010] Time 0.341 (0.327) Data 0.001 (0.001) Loss 1.9567 (1.8091) Prec@1 60.938 (58.889) Prec@5 78.125 (80.724) Epoch: [38][7680/10010] Time 0.341 (0.327) Data 0.001 (0.001) Loss 1.9351 (1.8092) Prec@1 53.906 (58.887) Prec@5 77.344 (80.724) Epoch: [38][7690/10010] Time 0.318 (0.327) Data 0.001 (0.001) Loss 1.8523 (1.8093) Prec@1 56.250 (58.885) Prec@5 78.906 (80.721) Epoch: [38][7700/10010] Time 0.338 (0.327) Data 0.001 (0.001) Loss 1.7582 (1.8093) Prec@1 60.938 (58.884) Prec@5 81.250 (80.720) Epoch: [38][7710/10010] Time 0.341 (0.327) Data 0.001 (0.001) Loss 1.8616 (1.8092) Prec@1 60.938 (58.885) Prec@5 75.000 (80.719) Epoch: [38][7720/10010] Time 0.319 (0.327) Data 0.001 (0.001) Loss 1.9304 (1.8093) Prec@1 64.062 (58.885) Prec@5 79.688 (80.719) Epoch: [38][7730/10010] Time 0.336 (0.327) Data 0.000 (0.001) Loss 1.9580 (1.8093) Prec@1 56.250 (58.886) Prec@5 80.469 (80.720) Epoch: [38][7740/10010] Time 0.340 (0.327) Data 0.001 (0.001) Loss 1.5496 (1.8093) Prec@1 60.938 (58.885) Prec@5 82.812 (80.719) Epoch: [38][7750/10010] Time 0.335 (0.327) Data 0.001 (0.001) Loss 1.7910 (1.8094) Prec@1 56.250 (58.884) Prec@5 81.250 (80.719) Epoch: [38][7760/10010] Time 0.328 (0.327) Data 0.001 (0.001) Loss 1.6770 (1.8094) Prec@1 65.625 (58.883) Prec@5 85.156 (80.719) Epoch: [38][7770/10010] Time 0.312 (0.327) Data 0.001 (0.001) Loss 1.7351 (1.8094) Prec@1 64.844 (58.885) Prec@5 82.031 (80.720) Epoch: [38][7780/10010] Time 0.340 (0.327) Data 0.001 (0.001) Loss 1.7182 (1.8093) Prec@1 60.938 (58.885) Prec@5 80.469 (80.721) Epoch: [38][7790/10010] Time 0.334 (0.327) Data 0.001 (0.001) Loss 1.7870 (1.8093) Prec@1 59.375 (58.886) Prec@5 85.156 (80.723) Epoch: [38][7800/10010] Time 0.312 (0.327) Data 0.001 (0.001) Loss 1.7473 (1.8094) Prec@1 57.812 (58.885) Prec@5 84.375 (80.722) Epoch: [38][7810/10010] Time 0.316 (0.327) Data 0.001 (0.001) Loss 1.9963 (1.8095) Prec@1 60.938 (58.884) Prec@5 82.031 (80.722) Epoch: [38][7820/10010] Time 0.336 (0.327) Data 0.000 (0.001) Loss 1.7506 (1.8095) Prec@1 64.062 (58.883) Prec@5 81.250 (80.722) Epoch: [38][7830/10010] Time 0.325 (0.327) Data 0.001 (0.001) Loss 1.9496 (1.8095) Prec@1 53.906 (58.882) Prec@5 82.812 (80.722) Epoch: [38][7840/10010] Time 0.317 (0.327) Data 0.000 (0.001) Loss 1.8327 (1.8097) Prec@1 60.938 (58.878) Prec@5 78.906 (80.720) Epoch: [38][7850/10010] Time 0.336 (0.327) Data 0.001 (0.001) Loss 1.8496 (1.8097) Prec@1 55.469 (58.876) Prec@5 79.688 (80.719) Epoch: [38][7860/10010] Time 0.310 (0.327) Data 0.001 (0.001) Loss 2.0382 (1.8098) Prec@1 56.250 (58.875) Prec@5 81.250 (80.717) Epoch: [38][7870/10010] Time 0.319 (0.327) Data 0.001 (0.001) Loss 1.7576 (1.8098) Prec@1 61.719 (58.874) Prec@5 82.812 (80.718) Epoch: [38][7880/10010] Time 0.320 (0.327) Data 0.001 (0.001) Loss 1.7086 (1.8099) Prec@1 64.844 (58.871) Prec@5 79.688 (80.717) Epoch: [38][7890/10010] Time 0.311 (0.327) Data 0.000 (0.001) Loss 1.7381 (1.8098) Prec@1 61.719 (58.872) Prec@5 79.688 (80.718) Epoch: [38][7900/10010] Time 0.333 (0.327) Data 0.000 (0.001) Loss 2.1627 (1.8099) Prec@1 56.250 (58.873) Prec@5 75.781 (80.718) Epoch: [38][7910/10010] Time 0.340 (0.327) Data 0.001 (0.001) Loss 1.8937 (1.8100) Prec@1 50.000 (58.870) Prec@5 81.250 (80.717) Epoch: [38][7920/10010] Time 0.321 (0.327) Data 0.000 (0.001) Loss 1.7594 (1.8100) Prec@1 64.062 (58.871) Prec@5 80.469 (80.717) Epoch: [38][7930/10010] Time 0.328 (0.327) Data 0.001 (0.001) Loss 2.0078 (1.8099) Prec@1 56.250 (58.873) Prec@5 81.250 (80.719) Epoch: [38][7940/10010] Time 0.330 (0.327) Data 0.001 (0.001) Loss 1.8189 (1.8099) Prec@1 57.031 (58.873) Prec@5 79.688 (80.719) Epoch: [38][7950/10010] Time 0.323 (0.327) Data 0.000 (0.001) Loss 1.7482 (1.8101) Prec@1 60.156 (58.870) Prec@5 79.688 (80.717) Epoch: [38][7960/10010] Time 0.324 (0.327) Data 0.001 (0.001) Loss 1.9535 (1.8102) Prec@1 60.156 (58.870) Prec@5 76.562 (80.713) Epoch: [38][7970/10010] Time 0.331 (0.327) Data 0.001 (0.001) Loss 2.0558 (1.8101) Prec@1 53.906 (58.872) Prec@5 75.000 (80.714) Epoch: [38][7980/10010] Time 0.332 (0.327) Data 0.001 (0.001) Loss 1.8672 (1.8101) Prec@1 56.250 (58.872) Prec@5 80.469 (80.714) Epoch: [38][7990/10010] Time 0.332 (0.327) Data 0.000 (0.001) Loss 2.1188 (1.8101) Prec@1 50.000 (58.872) Prec@5 76.562 (80.717) Epoch: [38][8000/10010] Time 0.332 (0.327) Data 0.000 (0.001) Loss 1.8080 (1.8101) Prec@1 58.594 (58.871) Prec@5 81.250 (80.716) Epoch: [38][8010/10010] Time 0.334 (0.327) Data 0.001 (0.001) Loss 1.6835 (1.8101) Prec@1 61.719 (58.871) Prec@5 83.594 (80.717) Epoch: [38][8020/10010] Time 0.315 (0.327) Data 0.001 (0.001) Loss 1.8437 (1.8101) Prec@1 56.250 (58.869) Prec@5 81.250 (80.715) Epoch: [38][8030/10010] Time 0.330 (0.327) Data 0.001 (0.001) Loss 2.1912 (1.8102) Prec@1 57.031 (58.868) Prec@5 77.344 (80.714) Epoch: [38][8040/10010] Time 0.338 (0.327) Data 0.001 (0.001) Loss 1.5098 (1.8102) Prec@1 57.812 (58.867) Prec@5 87.500 (80.714) Epoch: [38][8050/10010] Time 0.334 (0.327) Data 0.000 (0.001) Loss 1.8894 (1.8103) Prec@1 56.250 (58.864) Prec@5 79.688 (80.712) Epoch: [38][8060/10010] Time 0.342 (0.327) Data 0.000 (0.001) Loss 1.5467 (1.8102) Prec@1 65.625 (58.868) Prec@5 86.719 (80.713) Epoch: [38][8070/10010] Time 0.314 (0.327) Data 0.001 (0.001) Loss 1.6305 (1.8102) Prec@1 66.406 (58.869) Prec@5 83.594 (80.714) Epoch: [38][8080/10010] Time 0.333 (0.327) Data 0.000 (0.001) Loss 1.9522 (1.8101) Prec@1 62.500 (58.873) Prec@5 75.000 (80.714) Epoch: [38][8090/10010] Time 0.346 (0.327) Data 0.000 (0.001) Loss 1.9129 (1.8101) Prec@1 57.812 (58.872) Prec@5 82.031 (80.713) Epoch: [38][8100/10010] Time 0.339 (0.327) Data 0.001 (0.001) Loss 1.6363 (1.8102) Prec@1 64.062 (58.872) Prec@5 82.812 (80.711) Epoch: [38][8110/10010] Time 0.330 (0.327) Data 0.001 (0.001) Loss 1.7550 (1.8103) Prec@1 62.500 (58.870) Prec@5 82.031 (80.709) Epoch: [38][8120/10010] Time 0.326 (0.327) Data 0.000 (0.001) Loss 1.6770 (1.8103) Prec@1 61.719 (58.868) Prec@5 83.594 (80.708) Epoch: [38][8130/10010] Time 0.324 (0.327) Data 0.000 (0.001) Loss 2.0414 (1.8105) Prec@1 47.656 (58.867) Prec@5 78.125 (80.705) Epoch: [38][8140/10010] Time 0.335 (0.327) Data 0.001 (0.001) Loss 1.6632 (1.8104) Prec@1 64.062 (58.868) Prec@5 82.812 (80.707) Epoch: [38][8150/10010] Time 0.335 (0.327) Data 0.001 (0.001) Loss 1.9301 (1.8105) Prec@1 59.375 (58.866) Prec@5 75.000 (80.703) Epoch: [38][8160/10010] Time 0.326 (0.327) Data 0.001 (0.001) Loss 1.7868 (1.8106) Prec@1 61.719 (58.864) Prec@5 79.688 (80.701) Epoch: [38][8170/10010] Time 0.320 (0.327) Data 0.001 (0.001) Loss 1.5274 (1.8106) Prec@1 60.938 (58.865) Prec@5 87.500 (80.702) Epoch: [38][8180/10010] Time 0.320 (0.327) Data 0.001 (0.001) Loss 1.8665 (1.8107) Prec@1 57.031 (58.864) Prec@5 78.906 (80.701) Epoch: [38][8190/10010] Time 0.323 (0.327) Data 0.000 (0.001) Loss 2.0864 (1.8108) Prec@1 51.562 (58.860) Prec@5 72.656 (80.699) Epoch: [38][8200/10010] Time 0.323 (0.327) Data 0.001 (0.001) Loss 1.8630 (1.8107) Prec@1 57.031 (58.861) Prec@5 81.250 (80.699) Epoch: [38][8210/10010] Time 0.324 (0.327) Data 0.001 (0.001) Loss 1.9778 (1.8107) Prec@1 56.250 (58.861) Prec@5 75.781 (80.700) Epoch: [38][8220/10010] Time 0.327 (0.327) Data 0.000 (0.001) Loss 1.6412 (1.8107) Prec@1 63.281 (58.862) Prec@5 83.594 (80.700) Epoch: [38][8230/10010] Time 0.332 (0.327) Data 0.001 (0.001) Loss 1.7791 (1.8107) Prec@1 60.938 (58.862) Prec@5 79.688 (80.699) Epoch: [38][8240/10010] Time 0.315 (0.327) Data 0.001 (0.001) Loss 1.6307 (1.8106) Prec@1 64.844 (58.865) Prec@5 79.688 (80.700) Epoch: [38][8250/10010] Time 0.317 (0.327) Data 0.001 (0.001) Loss 1.7526 (1.8106) Prec@1 56.250 (58.865) Prec@5 80.469 (80.698) Epoch: [38][8260/10010] Time 0.324 (0.327) Data 0.000 (0.001) Loss 1.8232 (1.8107) Prec@1 59.375 (58.865) Prec@5 79.688 (80.695) Epoch: [38][8270/10010] Time 0.328 (0.327) Data 0.000 (0.001) Loss 1.7537 (1.8106) Prec@1 59.375 (58.865) Prec@5 79.688 (80.696) Epoch: [38][8280/10010] Time 0.333 (0.327) Data 0.001 (0.001) Loss 1.6781 (1.8108) Prec@1 64.062 (58.864) Prec@5 85.156 (80.693) Epoch: [38][8290/10010] Time 0.320 (0.327) Data 0.000 (0.001) Loss 1.7619 (1.8108) Prec@1 58.594 (58.862) Prec@5 82.812 (80.694) Epoch: [38][8300/10010] Time 0.331 (0.327) Data 0.000 (0.001) Loss 1.9063 (1.8109) Prec@1 60.156 (58.861) Prec@5 78.125 (80.693) Epoch: [38][8310/10010] Time 0.327 (0.327) Data 0.000 (0.001) Loss 2.3035 (1.8110) Prec@1 53.906 (58.859) Prec@5 75.000 (80.691) Epoch: [38][8320/10010] Time 0.335 (0.327) Data 0.001 (0.001) Loss 1.4932 (1.8110) Prec@1 67.188 (58.858) Prec@5 86.719 (80.692) Epoch: [38][8330/10010] Time 0.334 (0.327) Data 0.001 (0.001) Loss 2.0821 (1.8111) Prec@1 54.688 (58.856) Prec@5 73.438 (80.690) Epoch: [38][8340/10010] Time 0.337 (0.327) Data 0.001 (0.001) Loss 1.9876 (1.8112) Prec@1 57.812 (58.856) Prec@5 78.906 (80.692) Epoch: [38][8350/10010] Time 0.322 (0.327) Data 0.000 (0.001) Loss 1.7565 (1.8112) Prec@1 53.906 (58.856) Prec@5 80.469 (80.691) Epoch: [38][8360/10010] Time 0.327 (0.327) Data 0.001 (0.001) Loss 1.5241 (1.8113) Prec@1 65.625 (58.854) Prec@5 81.250 (80.689) Epoch: [38][8370/10010] Time 0.309 (0.327) Data 0.001 (0.001) Loss 1.8943 (1.8112) Prec@1 59.375 (58.855) Prec@5 80.469 (80.690) Epoch: [38][8380/10010] Time 0.334 (0.327) Data 0.000 (0.001) Loss 1.8755 (1.8112) Prec@1 59.375 (58.855) Prec@5 78.906 (80.690) Epoch: [38][8390/10010] Time 0.330 (0.327) Data 0.001 (0.001) Loss 1.7669 (1.8113) Prec@1 57.812 (58.854) Prec@5 84.375 (80.690) Epoch: [38][8400/10010] Time 0.320 (0.327) Data 0.001 (0.001) Loss 1.8206 (1.8112) Prec@1 60.938 (58.853) Prec@5 78.125 (80.690) Epoch: [38][8410/10010] Time 0.319 (0.327) Data 0.001 (0.001) Loss 1.6078 (1.8113) Prec@1 63.281 (58.851) Prec@5 81.250 (80.690) Epoch: [38][8420/10010] Time 0.337 (0.327) Data 0.001 (0.001) Loss 1.7842 (1.8113) Prec@1 64.062 (58.852) Prec@5 83.594 (80.691) Epoch: [38][8430/10010] Time 0.316 (0.327) Data 0.001 (0.001) Loss 2.0840 (1.8113) Prec@1 53.125 (58.849) Prec@5 72.656 (80.688) Epoch: [38][8440/10010] Time 0.318 (0.327) Data 0.001 (0.001) Loss 1.8925 (1.8115) Prec@1 57.031 (58.847) Prec@5 76.562 (80.686) Epoch: [38][8450/10010] Time 0.319 (0.327) Data 0.001 (0.001) Loss 1.3667 (1.8115) Prec@1 67.969 (58.848) Prec@5 85.938 (80.684) Epoch: [38][8460/10010] Time 0.337 (0.327) Data 0.000 (0.001) Loss 1.6883 (1.8114) Prec@1 60.938 (58.850) Prec@5 79.688 (80.685) Epoch: [38][8470/10010] Time 0.323 (0.327) Data 0.001 (0.001) Loss 1.8888 (1.8113) Prec@1 64.062 (58.854) Prec@5 79.688 (80.687) Epoch: [38][8480/10010] Time 0.318 (0.327) Data 0.000 (0.001) Loss 1.8105 (1.8113) Prec@1 58.594 (58.853) Prec@5 83.594 (80.688) Epoch: [38][8490/10010] Time 0.328 (0.327) Data 0.000 (0.001) Loss 2.1068 (1.8112) Prec@1 53.906 (58.854) Prec@5 78.125 (80.689) Epoch: [38][8500/10010] Time 0.314 (0.327) Data 0.001 (0.001) Loss 1.9420 (1.8113) Prec@1 60.156 (58.852) Prec@5 79.688 (80.688) Epoch: [38][8510/10010] Time 0.335 (0.327) Data 0.001 (0.001) Loss 1.7822 (1.8114) Prec@1 59.375 (58.848) Prec@5 85.156 (80.686) Epoch: [38][8520/10010] Time 0.320 (0.327) Data 0.001 (0.001) Loss 1.9226 (1.8116) Prec@1 61.719 (58.848) Prec@5 76.562 (80.684) Epoch: [38][8530/10010] Time 0.315 (0.327) Data 0.000 (0.001) Loss 1.7535 (1.8116) Prec@1 59.375 (58.847) Prec@5 81.250 (80.683) Epoch: [38][8540/10010] Time 0.324 (0.327) Data 0.001 (0.001) Loss 1.8771 (1.8118) Prec@1 51.562 (58.844) Prec@5 79.688 (80.680) Epoch: [38][8550/10010] Time 0.327 (0.327) Data 0.001 (0.001) Loss 1.8681 (1.8118) Prec@1 59.375 (58.842) Prec@5 80.469 (80.679) Epoch: [38][8560/10010] Time 0.322 (0.327) Data 0.001 (0.001) Loss 1.6272 (1.8118) Prec@1 62.500 (58.842) Prec@5 86.719 (80.680) Epoch: [38][8570/10010] Time 0.337 (0.327) Data 0.001 (0.001) Loss 2.1146 (1.8119) Prec@1 57.031 (58.840) Prec@5 75.781 (80.678) Epoch: [38][8580/10010] Time 0.326 (0.327) Data 0.000 (0.001) Loss 1.9007 (1.8119) Prec@1 57.031 (58.841) Prec@5 77.344 (80.678) Epoch: [38][8590/10010] Time 0.344 (0.327) Data 0.000 (0.001) Loss 1.4248 (1.8119) Prec@1 64.062 (58.842) Prec@5 88.281 (80.677) Epoch: [38][8600/10010] Time 0.315 (0.327) Data 0.000 (0.001) Loss 1.8442 (1.8119) Prec@1 60.156 (58.843) Prec@5 80.469 (80.676) Epoch: [38][8610/10010] Time 0.320 (0.327) Data 0.001 (0.001) Loss 1.7321 (1.8119) Prec@1 57.031 (58.843) Prec@5 79.688 (80.677) Epoch: [38][8620/10010] Time 0.319 (0.327) Data 0.001 (0.001) Loss 1.9097 (1.8119) Prec@1 56.250 (58.844) Prec@5 79.688 (80.676) Epoch: [38][8630/10010] Time 0.337 (0.327) Data 0.000 (0.001) Loss 1.7877 (1.8120) Prec@1 64.062 (58.844) Prec@5 79.688 (80.676) Epoch: [38][8640/10010] Time 0.315 (0.327) Data 0.001 (0.001) Loss 2.1585 (1.8121) Prec@1 54.688 (58.842) Prec@5 77.344 (80.673) Epoch: [38][8650/10010] Time 0.325 (0.327) Data 0.000 (0.001) Loss 1.8644 (1.8122) Prec@1 57.812 (58.840) Prec@5 78.125 (80.671) Epoch: [38][8660/10010] Time 0.325 (0.327) Data 0.000 (0.001) Loss 1.7261 (1.8124) Prec@1 60.156 (58.839) Prec@5 85.156 (80.669) Epoch: [38][8670/10010] Time 0.342 (0.327) Data 0.000 (0.001) Loss 1.8642 (1.8124) Prec@1 57.812 (58.840) Prec@5 80.469 (80.667) Epoch: [38][8680/10010] Time 0.320 (0.327) Data 0.001 (0.001) Loss 1.6880 (1.8123) Prec@1 57.812 (58.840) Prec@5 83.594 (80.668) Epoch: [38][8690/10010] Time 0.340 (0.327) Data 0.001 (0.001) Loss 1.9811 (1.8124) Prec@1 57.031 (58.840) Prec@5 74.219 (80.666) Epoch: [38][8700/10010] Time 0.329 (0.327) Data 0.001 (0.001) Loss 1.5254 (1.8122) Prec@1 63.281 (58.841) Prec@5 83.594 (80.669) Epoch: [38][8710/10010] Time 0.321 (0.327) Data 0.001 (0.001) Loss 2.0762 (1.8123) Prec@1 55.469 (58.840) Prec@5 77.344 (80.668) Epoch: [38][8720/10010] Time 0.320 (0.327) Data 0.001 (0.001) Loss 1.6966 (1.8123) Prec@1 62.500 (58.839) Prec@5 84.375 (80.669) Epoch: [38][8730/10010] Time 0.335 (0.327) Data 0.001 (0.001) Loss 2.0489 (1.8124) Prec@1 51.562 (58.838) Prec@5 81.250 (80.668) Epoch: [38][8740/10010] Time 0.338 (0.327) Data 0.001 (0.001) Loss 1.9515 (1.8124) Prec@1 52.344 (58.837) Prec@5 75.781 (80.668) Epoch: [38][8750/10010] Time 0.336 (0.327) Data 0.001 (0.001) Loss 1.9552 (1.8124) Prec@1 55.469 (58.836) Prec@5 78.125 (80.667) Epoch: [38][8760/10010] Time 0.324 (0.327) Data 0.001 (0.001) Loss 1.6154 (1.8125) Prec@1 54.688 (58.833) Prec@5 85.156 (80.667) Epoch: [38][8770/10010] Time 0.338 (0.327) Data 0.001 (0.001) Loss 1.8339 (1.8125) Prec@1 54.688 (58.831) Prec@5 78.125 (80.667) Epoch: [38][8780/10010] Time 0.312 (0.327) Data 0.001 (0.001) Loss 2.0307 (1.8126) Prec@1 58.594 (58.831) Prec@5 73.438 (80.665) Epoch: [38][8790/10010] Time 0.311 (0.327) Data 0.001 (0.001) Loss 1.7082 (1.8127) Prec@1 58.594 (58.828) Prec@5 82.812 (80.662) Epoch: [38][8800/10010] Time 0.331 (0.327) Data 0.001 (0.001) Loss 1.6343 (1.8127) Prec@1 64.844 (58.828) Prec@5 83.594 (80.663) Epoch: [38][8810/10010] Time 0.329 (0.327) Data 0.001 (0.001) Loss 2.1552 (1.8129) Prec@1 49.219 (58.825) Prec@5 75.781 (80.659) Epoch: [38][8820/10010] Time 0.318 (0.327) Data 0.000 (0.001) Loss 1.8095 (1.8129) Prec@1 64.062 (58.825) Prec@5 81.250 (80.659) Epoch: [38][8830/10010] Time 0.318 (0.327) Data 0.001 (0.001) Loss 2.1836 (1.8130) Prec@1 52.344 (58.826) Prec@5 73.438 (80.659) Epoch: [38][8840/10010] Time 0.336 (0.327) Data 0.000 (0.001) Loss 1.9049 (1.8130) Prec@1 55.469 (58.826) Prec@5 78.125 (80.658) Epoch: [38][8850/10010] Time 0.318 (0.327) Data 0.000 (0.001) Loss 1.9044 (1.8130) Prec@1 57.812 (58.828) Prec@5 78.906 (80.659) Epoch: [38][8860/10010] Time 0.321 (0.327) Data 0.000 (0.001) Loss 2.0772 (1.8131) Prec@1 51.562 (58.826) Prec@5 77.344 (80.658) Epoch: [38][8870/10010] Time 0.313 (0.327) Data 0.001 (0.001) Loss 2.0414 (1.8132) Prec@1 59.375 (58.825) Prec@5 75.781 (80.658) Epoch: [38][8880/10010] Time 0.339 (0.327) Data 0.001 (0.001) Loss 1.8824 (1.8132) Prec@1 61.719 (58.824) Prec@5 78.906 (80.657) Epoch: [38][8890/10010] Time 0.318 (0.327) Data 0.001 (0.001) Loss 2.0182 (1.8132) Prec@1 56.250 (58.822) Prec@5 75.000 (80.656) Epoch: [38][8900/10010] Time 0.335 (0.327) Data 0.000 (0.001) Loss 1.7576 (1.8132) Prec@1 57.812 (58.823) Prec@5 81.250 (80.657) Epoch: [38][8910/10010] Time 0.325 (0.327) Data 0.000 (0.001) Loss 1.9153 (1.8132) Prec@1 55.469 (58.824) Prec@5 78.125 (80.655) Epoch: [38][8920/10010] Time 0.314 (0.327) Data 0.001 (0.001) Loss 1.9822 (1.8134) Prec@1 58.594 (58.823) Prec@5 77.344 (80.654) Epoch: [38][8930/10010] Time 0.339 (0.327) Data 0.001 (0.001) Loss 2.1224 (1.8134) Prec@1 57.031 (58.822) Prec@5 74.219 (80.653) Epoch: [38][8940/10010] Time 0.340 (0.327) Data 0.000 (0.001) Loss 1.8907 (1.8135) Prec@1 60.938 (58.820) Prec@5 78.906 (80.651) Epoch: [38][8950/10010] Time 0.317 (0.327) Data 0.000 (0.001) Loss 1.6618 (1.8134) Prec@1 59.375 (58.820) Prec@5 83.594 (80.653) Epoch: [38][8960/10010] Time 0.319 (0.327) Data 0.001 (0.001) Loss 1.7445 (1.8134) Prec@1 62.500 (58.821) Prec@5 79.688 (80.653) Epoch: [38][8970/10010] Time 0.337 (0.327) Data 0.001 (0.001) Loss 1.7005 (1.8133) Prec@1 64.844 (58.823) Prec@5 79.688 (80.655) Epoch: [38][8980/10010] Time 0.339 (0.327) Data 0.000 (0.001) Loss 1.9860 (1.8133) Prec@1 57.031 (58.823) Prec@5 78.125 (80.653) Epoch: [38][8990/10010] Time 0.313 (0.327) Data 0.001 (0.001) Loss 1.7596 (1.8133) Prec@1 63.281 (58.824) Prec@5 82.812 (80.653) Epoch: [38][9000/10010] Time 0.309 (0.327) Data 0.001 (0.001) Loss 1.9568 (1.8134) Prec@1 60.156 (58.823) Prec@5 79.688 (80.653) Epoch: [38][9010/10010] Time 0.327 (0.327) Data 0.001 (0.001) Loss 1.7526 (1.8134) Prec@1 53.906 (58.819) Prec@5 85.156 (80.651) Epoch: [38][9020/10010] Time 0.335 (0.327) Data 0.001 (0.001) Loss 1.9521 (1.8135) Prec@1 56.250 (58.816) Prec@5 78.125 (80.650) Epoch: [38][9030/10010] Time 0.339 (0.327) Data 0.001 (0.001) Loss 1.8677 (1.8135) Prec@1 52.344 (58.818) Prec@5 75.000 (80.650) Epoch: [38][9040/10010] Time 0.320 (0.327) Data 0.001 (0.001) Loss 1.7631 (1.8135) Prec@1 60.938 (58.817) Prec@5 81.250 (80.650) Epoch: [38][9050/10010] Time 0.334 (0.327) Data 0.001 (0.001) Loss 1.7294 (1.8135) Prec@1 61.719 (58.818) Prec@5 84.375 (80.651) Epoch: [38][9060/10010] Time 0.340 (0.327) Data 0.001 (0.001) Loss 2.0909 (1.8135) Prec@1 55.469 (58.817) Prec@5 75.000 (80.649) Epoch: [38][9070/10010] Time 0.320 (0.327) Data 0.001 (0.001) Loss 1.8219 (1.8135) Prec@1 54.688 (58.815) Prec@5 81.250 (80.649) Epoch: [38][9080/10010] Time 0.318 (0.327) Data 0.000 (0.001) Loss 2.2131 (1.8135) Prec@1 51.562 (58.814) Prec@5 75.781 (80.649) Epoch: [38][9090/10010] Time 0.308 (0.327) Data 0.001 (0.001) Loss 1.8211 (1.8136) Prec@1 60.156 (58.814) Prec@5 77.344 (80.649) Epoch: [38][9100/10010] Time 0.338 (0.327) Data 0.001 (0.001) Loss 1.5650 (1.8136) Prec@1 64.062 (58.814) Prec@5 83.594 (80.648) Epoch: [38][9110/10010] Time 0.326 (0.327) Data 0.001 (0.001) Loss 1.9164 (1.8137) Prec@1 59.375 (58.813) Prec@5 79.688 (80.646) Epoch: [38][9120/10010] Time 0.319 (0.327) Data 0.000 (0.001) Loss 1.6999 (1.8138) Prec@1 61.719 (58.812) Prec@5 82.812 (80.645) Epoch: [38][9130/10010] Time 0.322 (0.327) Data 0.001 (0.001) Loss 1.7480 (1.8138) Prec@1 64.062 (58.813) Prec@5 79.688 (80.646) Epoch: [38][9140/10010] Time 0.320 (0.327) Data 0.001 (0.001) Loss 1.6592 (1.8139) Prec@1 64.844 (58.811) Prec@5 84.375 (80.644) Epoch: [38][9150/10010] Time 0.326 (0.327) Data 0.001 (0.001) Loss 1.9221 (1.8140) Prec@1 56.250 (58.808) Prec@5 77.344 (80.642) Epoch: [38][9160/10010] Time 0.333 (0.327) Data 0.001 (0.001) Loss 1.5023 (1.8139) Prec@1 62.500 (58.810) Prec@5 85.156 (80.643) Epoch: [38][9170/10010] Time 0.320 (0.327) Data 0.001 (0.001) Loss 1.7507 (1.8138) Prec@1 59.375 (58.811) Prec@5 78.125 (80.642) Epoch: [38][9180/10010] Time 0.318 (0.327) Data 0.001 (0.001) Loss 1.5308 (1.8138) Prec@1 64.844 (58.810) Prec@5 86.719 (80.642) Epoch: [38][9190/10010] Time 0.314 (0.327) Data 0.001 (0.001) Loss 1.6726 (1.8139) Prec@1 60.938 (58.808) Prec@5 83.594 (80.644) Epoch: [38][9200/10010] Time 0.332 (0.327) Data 0.000 (0.001) Loss 1.8584 (1.8140) Prec@1 57.031 (58.804) Prec@5 78.906 (80.643) Epoch: [38][9210/10010] Time 0.318 (0.327) Data 0.001 (0.001) Loss 1.8261 (1.8140) Prec@1 59.375 (58.805) Prec@5 82.031 (80.642) Epoch: [38][9220/10010] Time 0.315 (0.327) Data 0.001 (0.001) Loss 1.7046 (1.8141) Prec@1 62.500 (58.803) Prec@5 79.688 (80.640) Epoch: [38][9230/10010] Time 0.327 (0.327) Data 0.001 (0.001) Loss 1.6191 (1.8141) Prec@1 63.281 (58.801) Prec@5 85.938 (80.639) Epoch: [38][9240/10010] Time 0.317 (0.327) Data 0.000 (0.001) Loss 2.0011 (1.8142) Prec@1 58.594 (58.800) Prec@5 78.125 (80.638) Epoch: [38][9250/10010] Time 0.325 (0.327) Data 0.000 (0.001) Loss 1.7878 (1.8142) Prec@1 57.031 (58.800) Prec@5 81.250 (80.638) Epoch: [38][9260/10010] Time 0.313 (0.327) Data 0.001 (0.001) Loss 1.7715 (1.8143) Prec@1 59.375 (58.799) Prec@5 78.906 (80.635) Epoch: [38][9270/10010] Time 0.323 (0.327) Data 0.001 (0.001) Loss 1.9251 (1.8144) Prec@1 59.375 (58.798) Prec@5 78.906 (80.633) Epoch: [38][9280/10010] Time 0.336 (0.327) Data 0.001 (0.001) Loss 1.7018 (1.8143) Prec@1 62.500 (58.799) Prec@5 82.812 (80.635) Epoch: [38][9290/10010] Time 0.313 (0.327) Data 0.000 (0.001) Loss 1.9105 (1.8143) Prec@1 57.031 (58.801) Prec@5 81.250 (80.637) Epoch: [38][9300/10010] Time 0.336 (0.327) Data 0.001 (0.001) Loss 1.7872 (1.8143) Prec@1 57.812 (58.800) Prec@5 85.156 (80.637) Epoch: [38][9310/10010] Time 0.319 (0.327) Data 0.001 (0.001) Loss 1.5537 (1.8143) Prec@1 64.844 (58.800) Prec@5 82.812 (80.635) Epoch: [38][9320/10010] Time 0.329 (0.327) Data 0.000 (0.001) Loss 1.8215 (1.8143) Prec@1 61.719 (58.801) Prec@5 81.250 (80.635) Epoch: [38][9330/10010] Time 0.316 (0.327) Data 0.001 (0.001) Loss 1.7848 (1.8144) Prec@1 58.594 (58.799) Prec@5 81.250 (80.634) Epoch: [38][9340/10010] Time 0.343 (0.327) Data 0.001 (0.001) Loss 1.8863 (1.8144) Prec@1 57.031 (58.798) Prec@5 78.906 (80.631) Epoch: [38][9350/10010] Time 0.337 (0.327) Data 0.000 (0.001) Loss 1.7934 (1.8144) Prec@1 58.594 (58.799) Prec@5 82.031 (80.633) Epoch: [38][9360/10010] Time 0.326 (0.327) Data 0.001 (0.001) Loss 2.0369 (1.8144) Prec@1 53.125 (58.797) Prec@5 79.688 (80.634) Epoch: [38][9370/10010] Time 0.313 (0.327) Data 0.001 (0.001) Loss 1.9808 (1.8145) Prec@1 56.250 (58.794) Prec@5 78.906 (80.632) Epoch: [38][9380/10010] Time 0.330 (0.327) Data 0.001 (0.001) Loss 1.8830 (1.8145) Prec@1 57.812 (58.795) Prec@5 81.250 (80.634) Epoch: [38][9390/10010] Time 0.343 (0.327) Data 0.001 (0.001) Loss 1.6965 (1.8144) Prec@1 54.688 (58.795) Prec@5 82.031 (80.635) Epoch: [38][9400/10010] Time 0.340 (0.327) Data 0.000 (0.001) Loss 1.9931 (1.8145) Prec@1 55.469 (58.793) Prec@5 79.688 (80.635) Epoch: [38][9410/10010] Time 0.323 (0.327) Data 0.000 (0.001) Loss 1.9578 (1.8144) Prec@1 54.688 (58.796) Prec@5 78.125 (80.637) Epoch: [38][9420/10010] Time 0.315 (0.327) Data 0.001 (0.001) Loss 2.2667 (1.8144) Prec@1 52.344 (58.794) Prec@5 68.750 (80.636) Epoch: [38][9430/10010] Time 0.316 (0.327) Data 0.000 (0.001) Loss 1.4822 (1.8144) Prec@1 64.844 (58.793) Prec@5 83.594 (80.635) Epoch: [38][9440/10010] Time 0.326 (0.327) Data 0.001 (0.001) Loss 1.9550 (1.8145) Prec@1 52.344 (58.792) Prec@5 80.469 (80.634) Epoch: [38][9450/10010] Time 0.340 (0.327) Data 0.001 (0.001) Loss 1.9804 (1.8145) Prec@1 57.031 (58.794) Prec@5 73.438 (80.633) Epoch: [38][9460/10010] Time 0.318 (0.327) Data 0.001 (0.001) Loss 1.7140 (1.8146) Prec@1 58.594 (58.793) Prec@5 82.812 (80.632) Epoch: [38][9470/10010] Time 0.321 (0.327) Data 0.001 (0.001) Loss 1.7653 (1.8146) Prec@1 65.625 (58.793) Prec@5 83.594 (80.632) Epoch: [38][9480/10010] Time 0.328 (0.327) Data 0.000 (0.001) Loss 1.9503 (1.8146) Prec@1 53.906 (58.795) Prec@5 78.906 (80.633) Epoch: [38][9490/10010] Time 0.335 (0.327) Data 0.001 (0.001) Loss 1.7562 (1.8147) Prec@1 53.906 (58.796) Prec@5 81.250 (80.632) Epoch: [38][9500/10010] Time 0.335 (0.327) Data 0.001 (0.001) Loss 1.7344 (1.8147) Prec@1 59.375 (58.796) Prec@5 80.469 (80.633) Epoch: [38][9510/10010] Time 0.323 (0.327) Data 0.001 (0.001) Loss 1.5747 (1.8146) Prec@1 64.062 (58.796) Prec@5 85.156 (80.634) Epoch: [38][9520/10010] Time 0.337 (0.327) Data 0.000 (0.001) Loss 1.6116 (1.8145) Prec@1 64.062 (58.798) Prec@5 82.031 (80.636) Epoch: [38][9530/10010] Time 0.323 (0.327) Data 0.000 (0.001) Loss 1.6672 (1.8145) Prec@1 60.938 (58.798) Prec@5 82.812 (80.637) Epoch: [38][9540/10010] Time 0.338 (0.327) Data 0.001 (0.001) Loss 1.8752 (1.8144) Prec@1 58.594 (58.797) Prec@5 81.250 (80.638) Epoch: [38][9550/10010] Time 0.325 (0.327) Data 0.001 (0.001) Loss 1.9956 (1.8145) Prec@1 56.250 (58.795) Prec@5 81.250 (80.637) Epoch: [38][9560/10010] Time 0.340 (0.327) Data 0.001 (0.001) Loss 1.9368 (1.8146) Prec@1 58.594 (58.795) Prec@5 76.562 (80.635) Epoch: [38][9570/10010] Time 0.322 (0.327) Data 0.000 (0.001) Loss 1.9814 (1.8145) Prec@1 58.594 (58.795) Prec@5 78.906 (80.636) Epoch: [38][9580/10010] Time 0.306 (0.327) Data 0.001 (0.001) Loss 1.7903 (1.8145) Prec@1 60.938 (58.794) Prec@5 78.906 (80.636) Epoch: [38][9590/10010] Time 0.341 (0.327) Data 0.001 (0.001) Loss 1.5374 (1.8144) Prec@1 65.625 (58.795) Prec@5 84.375 (80.636) Epoch: [38][9600/10010] Time 0.326 (0.327) Data 0.001 (0.001) Loss 2.0062 (1.8144) Prec@1 52.344 (58.794) Prec@5 78.906 (80.634) Epoch: [38][9610/10010] Time 0.319 (0.327) Data 0.000 (0.001) Loss 1.8002 (1.8144) Prec@1 55.469 (58.794) Prec@5 81.250 (80.635) Epoch: [38][9620/10010] Time 0.335 (0.327) Data 0.001 (0.001) Loss 1.8038 (1.8144) Prec@1 57.031 (58.794) Prec@5 78.906 (80.635) Epoch: [38][9630/10010] Time 0.316 (0.327) Data 0.001 (0.001) Loss 1.9500 (1.8144) Prec@1 58.594 (58.793) Prec@5 78.125 (80.634) Epoch: [38][9640/10010] Time 0.324 (0.327) Data 0.000 (0.001) Loss 1.7779 (1.8144) Prec@1 59.375 (58.793) Prec@5 83.594 (80.635) Epoch: [38][9650/10010] Time 0.320 (0.327) Data 0.001 (0.001) Loss 1.9675 (1.8144) Prec@1 58.594 (58.794) Prec@5 78.906 (80.636) Epoch: [38][9660/10010] Time 0.325 (0.327) Data 0.001 (0.001) Loss 1.8160 (1.8144) Prec@1 59.375 (58.795) Prec@5 80.469 (80.637) Epoch: [38][9670/10010] Time 0.320 (0.327) Data 0.001 (0.001) Loss 1.4492 (1.8144) Prec@1 67.188 (58.794) Prec@5 82.812 (80.635) Epoch: [38][9680/10010] Time 0.329 (0.327) Data 0.001 (0.001) Loss 1.8417 (1.8144) Prec@1 53.906 (58.795) Prec@5 82.031 (80.636) Epoch: [38][9690/10010] Time 0.334 (0.327) Data 0.000 (0.001) Loss 1.6909 (1.8145) Prec@1 60.156 (58.793) Prec@5 82.812 (80.635) Epoch: [38][9700/10010] Time 0.324 (0.327) Data 0.001 (0.001) Loss 1.6215 (1.8146) Prec@1 65.625 (58.792) Prec@5 82.031 (80.634) Epoch: [38][9710/10010] Time 0.335 (0.327) Data 0.001 (0.001) Loss 2.0309 (1.8145) Prec@1 57.031 (58.794) Prec@5 78.125 (80.634) Epoch: [38][9720/10010] Time 0.338 (0.327) Data 0.001 (0.001) Loss 1.7621 (1.8147) Prec@1 62.500 (58.793) Prec@5 79.688 (80.631) Epoch: [38][9730/10010] Time 0.324 (0.327) Data 0.000 (0.001) Loss 1.5433 (1.8146) Prec@1 56.250 (58.794) Prec@5 85.938 (80.633) Epoch: [38][9740/10010] Time 0.323 (0.327) Data 0.000 (0.001) Loss 1.6536 (1.8146) Prec@1 58.594 (58.795) Prec@5 85.156 (80.633) Epoch: [38][9750/10010] Time 0.323 (0.327) Data 0.001 (0.001) Loss 2.1246 (1.8147) Prec@1 50.000 (58.792) Prec@5 78.125 (80.632) Epoch: [38][9760/10010] Time 0.321 (0.327) Data 0.001 (0.001) Loss 1.7933 (1.8147) Prec@1 60.938 (58.791) Prec@5 82.812 (80.631) Epoch: [38][9770/10010] Time 0.341 (0.327) Data 0.001 (0.001) Loss 1.7811 (1.8147) Prec@1 57.031 (58.792) Prec@5 84.375 (80.631) Epoch: [38][9780/10010] Time 0.333 (0.327) Data 0.001 (0.001) Loss 1.9780 (1.8146) Prec@1 50.000 (58.792) Prec@5 83.594 (80.632) Epoch: [38][9790/10010] Time 0.334 (0.327) Data 0.001 (0.001) Loss 1.4402 (1.8147) Prec@1 61.719 (58.790) Prec@5 85.156 (80.632) Epoch: [38][9800/10010] Time 0.333 (0.327) Data 0.001 (0.001) Loss 1.8952 (1.8148) Prec@1 57.031 (58.789) Prec@5 75.000 (80.630) Epoch: [38][9810/10010] Time 0.334 (0.327) Data 0.001 (0.001) Loss 1.8993 (1.8148) Prec@1 53.906 (58.787) Prec@5 78.906 (80.631) Epoch: [38][9820/10010] Time 0.331 (0.327) Data 0.001 (0.001) Loss 2.1551 (1.8148) Prec@1 46.875 (58.787) Prec@5 79.688 (80.631) Epoch: [38][9830/10010] Time 0.335 (0.327) Data 0.001 (0.001) Loss 1.7529 (1.8148) Prec@1 60.938 (58.789) Prec@5 81.250 (80.631) Epoch: [38][9840/10010] Time 0.333 (0.327) Data 0.000 (0.001) Loss 1.6533 (1.8148) Prec@1 60.156 (58.788) Prec@5 81.250 (80.632) Epoch: [38][9850/10010] Time 0.337 (0.327) Data 0.001 (0.001) Loss 1.8094 (1.8148) Prec@1 59.375 (58.788) Prec@5 78.906 (80.631) /data/vision/torralba/deepscene/lib/anaconda2/lib/python2.7/site-packages/PIL/TiffImagePlugin.py:709: UserWarning: Corrupt EXIF data. Expecting to read 4 bytes but only got 0. warnings.warn(str(msg)) Epoch: [38][9860/10010] Time 0.336 (0.327) Data 0.000 (0.001) Loss 1.7278 (1.8149) Prec@1 65.625 (58.788) Prec@5 84.375 (80.631) Epoch: [38][9870/10010] Time 0.313 (0.327) Data 0.001 (0.001) Loss 2.1511 (1.8150) Prec@1 50.000 (58.785) Prec@5 75.000 (80.628) Epoch: [38][9880/10010] Time 0.334 (0.327) Data 0.000 (0.001) Loss 1.7764 (1.8150) Prec@1 60.938 (58.786) Prec@5 80.469 (80.628) Epoch: [38][9890/10010] Time 0.327 (0.327) Data 0.001 (0.001) Loss 2.0280 (1.8151) Prec@1 50.781 (58.782) Prec@5 74.219 (80.625) Epoch: [38][9900/10010] Time 0.334 (0.327) Data 0.000 (0.001) Loss 1.7475 (1.8152) Prec@1 60.938 (58.782) Prec@5 81.250 (80.624) Epoch: [38][9910/10010] Time 0.334 (0.327) Data 0.001 (0.001) Loss 1.6920 (1.8152) Prec@1 64.062 (58.781) Prec@5 78.906 (80.623) Epoch: [38][9920/10010] Time 0.314 (0.327) Data 0.001 (0.001) Loss 1.7614 (1.8151) Prec@1 60.938 (58.780) Prec@5 78.906 (80.623) Epoch: [38][9930/10010] Time 0.332 (0.327) Data 0.001 (0.001) Loss 1.9287 (1.8152) Prec@1 59.375 (58.779) Prec@5 77.344 (80.622) Epoch: [38][9940/10010] Time 0.337 (0.327) Data 0.001 (0.001) Loss 2.0885 (1.8152) Prec@1 52.344 (58.780) Prec@5 78.906 (80.623) Epoch: [38][9950/10010] Time 0.337 (0.327) Data 0.001 (0.001) Loss 2.1004 (1.8153) Prec@1 53.125 (58.778) Prec@5 75.781 (80.621) Epoch: [38][9960/10010] Time 0.317 (0.327) Data 0.001 (0.001) Loss 2.2384 (1.8154) Prec@1 53.125 (58.777) Prec@5 70.312 (80.620) /data/vision/torralba/deepscene/lib/anaconda2/lib/python2.7/site-packages/PIL/TiffImagePlugin.py:692: UserWarning: Possibly corrupt EXIF data. Expecting to read 1835008 bytes but only got 0. Skipping tag 0 "Skipping tag %s" % (size, len(data), tag)) Epoch: [38][9970/10010] Time 0.337 (0.327) Data 0.001 (0.001) Loss 1.9372 (1.8154) Prec@1 55.469 (58.777) Prec@5 79.688 (80.620) Epoch: [38][9980/10010] Time 0.326 (0.327) Data 0.001 (0.001) Loss 2.0620 (1.8154) Prec@1 56.250 (58.776) Prec@5 74.219 (80.619) Epoch: [38][9990/10010] Time 0.339 (0.327) Data 0.001 (0.001) Loss 2.1064 (1.8155) Prec@1 47.656 (58.774) Prec@5 76.562 (80.618) Epoch: [38][10000/10010] Time 0.315 (0.327) Data 0.000 (0.001) Loss 1.6963 (1.8155) Prec@1 64.062 (58.772) Prec@5 85.156 (80.617) Test: [0/391] Time 1.193 (1.193) Loss 0.9193 (0.9193) Prec@1 80.469 (80.469) Prec@5 90.625 (90.625) Test: [10/391] Time 0.105 (0.204) Loss 1.9065 (0.9358) Prec@1 60.938 (77.841) Prec@5 80.469 (92.330) Test: [20/391] Time 0.120 (0.162) Loss 1.0888 (1.1913) Prec@1 74.219 (71.168) Prec@5 89.844 (89.174) Test: [30/391] Time 0.121 (0.147) Loss 1.7827 (1.2797) Prec@1 63.281 (67.440) Prec@5 85.156 (89.239) Test: [40/391] Time 0.128 (0.141) Loss 1.3014 (1.1624) Prec@1 66.406 (70.389) Prec@5 85.938 (90.225) Test: [50/391] Time 0.121 (0.137) Loss 0.7040 (1.2067) Prec@1 81.250 (69.868) Prec@5 94.531 (89.568) Test: [60/391] Time 0.100 (0.133) Loss 1.0927 (1.1439) Prec@1 71.094 (71.337) Prec@5 90.625 (90.151) Test: [70/391] Time 0.116 (0.132) Loss 1.3204 (1.1847) Prec@1 65.625 (70.169) Prec@5 94.531 (89.943) Test: [80/391] Time 0.104 (0.129) Loss 1.4225 (1.2115) Prec@1 60.938 (69.174) Prec@5 87.500 (89.824) Test: [90/391] Time 0.110 (0.126) Loss 1.4951 (1.2235) Prec@1 46.875 (68.802) Prec@5 89.844 (89.758) Test: [100/391] Time 0.116 (0.125) Loss 1.0597 (1.2153) Prec@1 75.000 (68.580) Prec@5 92.188 (90.029) Test: [110/391] Time 0.105 (0.123) Loss 1.2443 (1.2175) Prec@1 54.688 (68.307) Prec@5 96.094 (90.104) Test: [120/391] Time 0.112 (0.122) Loss 0.9936 (1.2158) Prec@1 75.781 (68.401) Prec@5 94.531 (90.192) Test: [130/391] Time 0.102 (0.121) Loss 0.6063 (1.2060) Prec@1 85.938 (68.798) Prec@5 96.875 (90.386) Test: [140/391] Time 0.108 (0.120) Loss 1.5960 (1.2071) Prec@1 60.938 (68.778) Prec@5 86.719 (90.370) Test: [150/391] Time 0.105 (0.119) Loss 1.3843 (1.2156) Prec@1 58.594 (68.740) Prec@5 87.500 (90.128) Test: [160/391] Time 0.154 (0.118) Loss 1.4040 (1.2233) Prec@1 60.156 (68.595) Prec@5 87.500 (90.038) Test: [170/391] Time 0.108 (0.117) Loss 1.8424 (1.2576) Prec@1 58.594 (67.996) Prec@5 85.156 (89.597) Test: [180/391] Time 0.103 (0.117) Loss 2.5871 (1.2891) Prec@1 39.062 (67.356) Prec@5 78.125 (89.218) Test: [190/391] Time 0.101 (0.116) Loss 2.4213 (1.3235) Prec@1 41.406 (66.729) Prec@5 78.125 (88.748) Test: [200/391] Time 0.112 (0.116) Loss 1.9353 (1.3541) Prec@1 50.781 (66.138) Prec@5 78.906 (88.270) Test: [210/391] Time 0.101 (0.115) Loss 1.4612 (1.3726) Prec@1 64.062 (65.818) Prec@5 86.719 (87.992) Test: [220/391] Time 0.101 (0.115) Loss 0.8759 (1.3912) Prec@1 78.125 (65.505) Prec@5 93.750 (87.641) Test: [230/391] Time 0.104 (0.114) Loss 2.4082 (1.4024) Prec@1 43.750 (65.307) Prec@5 73.438 (87.527) Test: [240/391] Time 0.110 (0.114) Loss 1.9019 (1.4122) Prec@1 61.719 (65.223) Prec@5 76.562 (87.344) Test: [250/391] Time 0.117 (0.114) Loss 1.1075 (1.4402) Prec@1 71.875 (64.573) Prec@5 89.062 (86.983) Test: [260/391] Time 0.108 (0.114) Loss 1.7712 (1.4589) Prec@1 62.500 (64.170) Prec@5 82.031 (86.752) Test: [270/391] Time 0.115 (0.114) Loss 2.0740 (1.4700) Prec@1 50.000 (63.944) Prec@5 83.594 (86.575) Test: [280/391] Time 0.103 (0.113) Loss 1.8732 (1.4832) Prec@1 53.906 (63.737) Prec@5 80.469 (86.374) Test: [290/391] Time 0.113 (0.113) Loss 1.8220 (1.4974) Prec@1 56.250 (63.539) Prec@5 85.938 (86.112) Test: [300/391] Time 0.106 (0.113) Loss 1.6113 (1.5120) Prec@1 73.438 (63.328) Prec@5 84.375 (85.886) Test: [310/391] Time 0.108 (0.113) Loss 1.7566 (1.5208) Prec@1 60.938 (63.171) Prec@5 78.906 (85.709) Test: [320/391] Time 0.118 (0.113) Loss 0.9561 (1.5282) Prec@1 81.250 (63.031) Prec@5 91.406 (85.609) Test: [330/391] Time 0.101 (0.113) Loss 2.5059 (1.5493) Prec@1 45.312 (62.625) Prec@5 71.094 (85.270) Test: [340/391] Time 0.105 (0.112) Loss 1.4836 (1.5578) Prec@1 54.688 (62.388) Prec@5 92.188 (85.179) Test: [350/391] Time 0.104 (0.112) Loss 1.6424 (1.5619) Prec@1 64.844 (62.342) Prec@5 88.281 (85.143) Test: [360/391] Time 0.100 (0.112) Loss 1.6762 (1.5683) Prec@1 52.344 (62.234) Prec@5 87.500 (85.074) Test: [370/391] Time 0.111 (0.112) Loss 1.3542 (1.5624) Prec@1 61.719 (62.313) Prec@5 89.844 (85.163) Test: [380/391] Time 0.114 (0.112) Loss 1.1380 (1.5616) Prec@1 71.875 (62.336) Prec@5 92.188 (85.167) Test: [390/391] Time 0.074 (0.112) Loss 2.2325 (1.5546) Prec@1 46.250 (62.496) Prec@5 82.500 (85.268) * Prec@1 62.496 Prec@5 85.268 Epoch: [39][0/10010] Time 2.527 (2.527) Data 2.339 (2.339) Loss 1.6435 (1.6435) Prec@1 61.719 (61.719) Prec@5 85.938 (85.938) Epoch: [39][10/10010] Time 0.312 (0.518) Data 0.000 (0.213) Loss 2.0138 (1.7994) Prec@1 57.812 (59.091) Prec@5 78.125 (80.256) Epoch: [39][20/10010] Time 0.319 (0.422) Data 0.001 (0.112) Loss 1.6192 (1.8337) Prec@1 57.812 (57.664) Prec@5 85.938 (80.208) Epoch: [39][30/10010] Time 0.320 (0.389) Data 0.001 (0.076) Loss 1.6986 (1.7823) Prec@1 60.156 (58.644) Prec@5 83.594 (81.124) Epoch: [39][40/10010] Time 0.310 (0.372) Data 0.001 (0.058) Loss 1.8996 (1.7894) Prec@1 61.719 (58.518) Prec@5 81.250 (80.869) Epoch: [39][50/10010] Time 0.330 (0.363) Data 0.001 (0.046) Loss 1.3578 (1.7679) Prec@1 67.969 (59.191) Prec@5 88.281 (81.066) Epoch: [39][60/10010] Time 0.334 (0.358) Data 0.000 (0.039) Loss 1.6691 (1.7728) Prec@1 60.938 (59.401) Prec@5 85.938 (80.930) Epoch: [39][70/10010] Time 0.340 (0.354) Data 0.001 (0.034) Loss 1.6172 (1.7634) Prec@1 60.156 (59.474) Prec@5 83.594 (81.118) Epoch: [39][80/10010] Time 0.313 (0.350) Data 0.001 (0.030) Loss 1.6173 (1.7568) Prec@1 59.375 (59.520) Prec@5 87.500 (81.240) Epoch: [39][90/10010] Time 0.337 (0.348) Data 0.001 (0.026) Loss 1.4779 (1.7565) Prec@1 67.969 (59.667) Prec@5 82.812 (81.198) Epoch: [39][100/10010] Time 0.320 (0.346) Data 0.001 (0.024) Loss 1.8756 (1.7667) Prec@1 53.125 (59.383) Prec@5 81.250 (81.095) Epoch: [39][110/10010] Time 0.319 (0.343) Data 0.001 (0.022) Loss 1.7850 (1.7685) Prec@1 55.469 (59.333) Prec@5 82.812 (81.102) Epoch: [39][120/10010] Time 0.316 (0.342) Data 0.001 (0.020) Loss 1.9085 (1.7683) Prec@1 50.000 (59.233) Prec@5 88.281 (81.237) Epoch: [39][130/10010] Time 0.332 (0.340) Data 0.001 (0.019) Loss 2.0826 (1.7671) Prec@1 50.000 (59.268) Prec@5 78.125 (81.286) Epoch: [39][140/10010] Time 0.325 (0.340) Data 0.001 (0.017) Loss 1.8930 (1.7698) Prec@1 60.156 (59.203) Prec@5 76.562 (81.250) Epoch: [39][150/10010] Time 0.319 (0.339) Data 0.001 (0.016) Loss 1.7141 (1.7647) Prec@1 61.719 (59.328) Prec@5 82.031 (81.353) Epoch: [39][160/10010] Time 0.326 (0.338) Data 0.001 (0.015) Loss 1.8412 (1.7639) Prec@1 58.594 (59.293) Prec@5 82.031 (81.357) Epoch: [39][170/10010] Time 0.317 (0.338) Data 0.000 (0.014) Loss 1.7042 (1.7677) Prec@1 57.031 (59.206) Prec@5 84.375 (81.328) Epoch: [39][180/10010] Time 0.313 (0.337) Data 0.001 (0.014) Loss 1.8313 (1.7741) Prec@1 60.156 (59.159) Prec@5 81.250 (81.207) Epoch: [39][190/10010] Time 0.322 (0.336) Data 0.000 (0.013) Loss 1.5031 (1.7675) Prec@1 63.281 (59.322) Prec@5 84.375 (81.389) Epoch: [39][200/10010] Time 0.330 (0.336) Data 0.001 (0.012) Loss 2.0714 (1.7681) Prec@1 52.344 (59.379) Prec@5 74.219 (81.378) Epoch: [39][210/10010] Time 0.314 (0.335) Data 0.000 (0.012) Loss 1.9970 (1.7689) Prec@1 54.688 (59.412) Prec@5 74.219 (81.317) Epoch: [39][220/10010] Time 0.314 (0.335) Data 0.001 (0.011) Loss 1.8221 (1.7692) Prec@1 58.594 (59.379) Prec@5 79.688 (81.314) Epoch: [39][230/10010] Time 0.322 (0.334) Data 0.000 (0.011) Loss 1.5031 (1.7684) Prec@1 63.281 (59.405) Prec@5 83.594 (81.355) Epoch: [39][240/10010] Time 0.314 (0.334) Data 0.001 (0.010) Loss 1.5555 (1.7692) Prec@1 55.469 (59.394) Prec@5 86.719 (81.380) Epoch: [39][250/10010] Time 0.331 (0.334) Data 0.001 (0.010) Loss 1.8444 (1.7746) Prec@1 54.688 (59.235) Prec@5 76.562 (81.322) Epoch: [39][260/10010] Time 0.334 (0.333) Data 0.001 (0.010) Loss 1.9689 (1.7804) Prec@1 53.906 (59.118) Prec@5 77.344 (81.226) Epoch: [39][270/10010] Time 0.331 (0.333) Data 0.001 (0.009) Loss 1.9253 (1.7796) Prec@1 59.375 (59.173) Prec@5 74.219 (81.221) Epoch: [39][280/10010] Time 0.324 (0.333) Data 0.001 (0.009) Loss 1.4007 (1.7816) Prec@1 70.312 (59.197) Prec@5 86.719 (81.167) Epoch: [39][290/10010] Time 0.315 (0.333) Data 0.001 (0.009) Loss 1.9719 (1.7809) Prec@1 52.344 (59.155) Prec@5 72.656 (81.175) Epoch: [39][300/10010] Time 0.333 (0.333) Data 0.000 (0.008) Loss 1.7228 (1.7832) Prec@1 61.719 (59.108) Prec@5 82.031 (81.105) Epoch: [39][310/10010] Time 0.343 (0.332) Data 0.000 (0.008) Loss 1.7798 (1.7816) Prec@1 58.594 (59.169) Prec@5 82.031 (81.167) Epoch: [39][320/10010] Time 0.339 (0.332) Data 0.001 (0.008) Loss 1.7050 (1.7817) Prec@1 57.031 (59.175) Prec@5 82.812 (81.172) Epoch: [39][330/10010] Time 0.331 (0.332) Data 0.001 (0.008) Loss 1.9193 (1.7831) Prec@1 60.938 (59.179) Prec@5 78.906 (81.146) Epoch: [39][340/10010] Time 0.328 (0.332) Data 0.000 (0.008) Loss 2.0689 (1.7827) Prec@1 54.688 (59.196) Prec@5 76.562 (81.147) Epoch: [39][350/10010] Time 0.330 (0.332) Data 0.001 (0.007) Loss 1.6368 (1.7821) Prec@1 65.625 (59.235) Prec@5 82.812 (81.157) Epoch: [39][360/10010] Time 0.328 (0.332) Data 0.001 (0.007) Loss 1.8336 (1.7803) Prec@1 57.031 (59.228) Prec@5 85.156 (81.228) Epoch: [39][370/10010] Time 0.324 (0.332) Data 0.000 (0.007) Loss 1.7316 (1.7797) Prec@1 59.375 (59.204) Prec@5 81.250 (81.239) Epoch: [39][380/10010] Time 0.317 (0.331) Data 0.000 (0.007) Loss 1.8892 (1.7789) Prec@1 58.594 (59.201) Prec@5 79.688 (81.244) Epoch: [39][390/10010] Time 0.320 (0.331) Data 0.000 (0.007) Loss 1.6850 (1.7774) Prec@1 64.844 (59.247) Prec@5 80.469 (81.260) Epoch: [39][400/10010] Time 0.322 (0.331) Data 0.001 (0.006) Loss 1.5693 (1.7771) Prec@1 58.594 (59.248) Prec@5 85.938 (81.275) Epoch: [39][410/10010] Time 0.334 (0.331) Data 0.000 (0.006) Loss 1.8601 (1.7779) Prec@1 63.281 (59.246) Prec@5 80.469 (81.256) Epoch: [39][420/10010] Time 0.329 (0.331) Data 0.000 (0.006) Loss 1.6726 (1.7770) Prec@1 58.594 (59.299) Prec@5 82.031 (81.283) /data/vision/torralba/deepscene/lib/anaconda2/lib/python2.7/site-packages/PIL/TiffImagePlugin.py:692: UserWarning: Possibly corrupt EXIF data. Expecting to read 2555904 bytes but only got 0. Skipping tag 0 "Skipping tag %s" % (size, len(data), tag)) Epoch: [39][430/10010] Time 0.341 (0.331) Data 0.001 (0.006) Loss 1.7798 (1.7788) Prec@1 59.375 (59.277) Prec@5 85.156 (81.284) Epoch: [39][440/10010] Time 0.321 (0.331) Data 0.001 (0.006) Loss 1.5747 (1.7792) Prec@1 63.281 (59.295) Prec@5 85.156 (81.282) Epoch: [39][450/10010] Time 0.330 (0.331) Data 0.000 (0.006) Loss 1.7522 (1.7807) Prec@1 59.375 (59.301) Prec@5 85.938 (81.252) Epoch: [39][460/10010] Time 0.331 (0.331) Data 0.001 (0.006) Loss 1.7274 (1.7782) Prec@1 57.812 (59.350) Prec@5 79.688 (81.289) Epoch: [39][470/10010] Time 0.312 (0.330) Data 0.000 (0.006) Loss 1.7657 (1.7799) Prec@1 56.250 (59.334) Prec@5 82.031 (81.263) Epoch: [39][480/10010] Time 0.312 (0.330) Data 0.001 (0.006) Loss 2.1511 (1.7828) Prec@1 50.781 (59.289) Prec@5 75.000 (81.226) Epoch: [39][490/10010] Time 0.317 (0.330) Data 0.001 (0.005) Loss 2.1609 (1.7838) Prec@1 50.781 (59.256) Prec@5 71.875 (81.207) Epoch: [39][500/10010] Time 0.336 (0.330) Data 0.000 (0.005) Loss 1.8698 (1.7844) Prec@1 51.562 (59.219) Prec@5 83.594 (81.191) Epoch: [39][510/10010] Time 0.335 (0.330) Data 0.001 (0.005) Loss 1.8521 (1.7843) Prec@1 59.375 (59.224) Prec@5 80.469 (81.186) Epoch: [39][520/10010] Time 0.335 (0.330) Data 0.001 (0.005) Loss 1.3752 (1.7844) Prec@1 66.406 (59.245) Prec@5 86.719 (81.183) Epoch: [39][530/10010] Time 0.330 (0.330) Data 0.000 (0.005) Loss 1.9935 (1.7841) Prec@1 55.469 (59.241) Prec@5 78.906 (81.196) Epoch: [39][540/10010] Time 0.325 (0.330) Data 0.001 (0.005) Loss 1.7990 (1.7851) Prec@1 55.469 (59.244) Prec@5 79.688 (81.188) Epoch: [39][550/10010] Time 0.339 (0.330) Data 0.000 (0.005) Loss 1.7528 (1.7835) Prec@1 53.906 (59.218) Prec@5 85.156 (81.232) Epoch: [39][560/10010] Time 0.330 (0.330) Data 0.001 (0.005) Loss 1.8391 (1.7856) Prec@1 55.469 (59.184) Prec@5 80.469 (81.193) Epoch: [39][570/10010] Time 0.341 (0.330) Data 0.000 (0.005) Loss 2.0796 (1.7863) Prec@1 56.250 (59.163) Prec@5 76.562 (81.182) Epoch: [39][580/10010] Time 0.317 (0.330) Data 0.001 (0.005) Loss 1.9711 (1.7877) Prec@1 54.688 (59.142) Prec@5 79.688 (81.161) Epoch: [39][590/10010] Time 0.342 (0.330) Data 0.001 (0.005) Loss 1.7927 (1.7871) Prec@1 59.375 (59.146) Prec@5 80.469 (81.191) Epoch: [39][600/10010] Time 0.334 (0.330) Data 0.001 (0.005) Loss 1.6930 (1.7870) Prec@1 58.594 (59.151) Prec@5 86.719 (81.185) Epoch: [39][610/10010] Time 0.322 (0.330) Data 0.000 (0.004) Loss 1.9087 (1.7885) Prec@1 59.375 (59.114) Prec@5 82.812 (81.190) Epoch: [39][620/10010] Time 0.338 (0.330) Data 0.001 (0.004) Loss 1.8049 (1.7874) Prec@1 60.938 (59.135) Prec@5 79.688 (81.207) Epoch: [39][630/10010] Time 0.326 (0.330) Data 0.001 (0.004) Loss 1.7274 (1.7876) Prec@1 63.281 (59.116) Prec@5 83.594 (81.199) Epoch: [39][640/10010] Time 0.315 (0.329) Data 0.001 (0.004) Loss 1.7004 (1.7879) Prec@1 60.938 (59.118) Prec@5 82.812 (81.181) Epoch: [39][650/10010] Time 0.318 (0.330) Data 0.001 (0.004) Loss 1.9105 (1.7871) Prec@1 58.594 (59.127) Prec@5 75.000 (81.190) Epoch: [39][660/10010] Time 0.323 (0.329) Data 0.001 (0.004) Loss 2.1516 (1.7879) Prec@1 54.688 (59.097) Prec@5 74.219 (81.171) Epoch: [39][670/10010] Time 0.317 (0.329) Data 0.001 (0.004) Loss 1.5722 (1.7865) Prec@1 64.844 (59.101) Prec@5 88.281 (81.193) Epoch: [39][680/10010] Time 0.330 (0.329) Data 0.001 (0.004) Loss 1.6483 (1.7876) Prec@1 59.375 (59.061) Prec@5 82.812 (81.165) Epoch: [39][690/10010] Time 0.341 (0.329) Data 0.001 (0.004) Loss 1.8785 (1.7891) Prec@1 53.906 (59.048) Prec@5 79.688 (81.136) Epoch: [39][700/10010] Time 0.314 (0.329) Data 0.001 (0.004) Loss 1.6870 (1.7894) Prec@1 61.719 (59.050) Prec@5 86.719 (81.137) Epoch: [39][710/10010] Time 0.325 (0.329) Data 0.000 (0.004) Loss 1.4604 (1.7879) Prec@1 66.406 (59.070) Prec@5 83.594 (81.151) Epoch: [39][720/10010] Time 0.315 (0.329) Data 0.001 (0.004) Loss 1.9816 (1.7884) Prec@1 58.594 (59.087) Prec@5 78.906 (81.145) Epoch: [39][730/10010] Time 0.339 (0.329) Data 0.001 (0.004) Loss 1.8201 (1.7897) Prec@1 58.594 (59.053) Prec@5 79.688 (81.139) Epoch: [39][740/10010] Time 0.313 (0.329) Data 0.001 (0.004) Loss 1.7689 (1.7904) Prec@1 54.688 (59.049) Prec@5 82.031 (81.119) Epoch: [39][750/10010] Time 0.329 (0.329) Data 0.001 (0.004) Loss 1.9442 (1.7904) Prec@1 50.781 (59.042) Prec@5 75.781 (81.114) Epoch: [39][760/10010] Time 0.337 (0.329) Data 0.001 (0.004) Loss 2.0376 (1.7907) Prec@1 57.031 (59.059) Prec@5 78.906 (81.113) Epoch: [39][770/10010] Time 0.309 (0.329) Data 0.001 (0.004) Loss 1.5605 (1.7913) Prec@1 61.719 (59.041) Prec@5 85.938 (81.109) Epoch: [39][780/10010] Time 0.322 (0.329) Data 0.000 (0.004) Loss 1.9010 (1.7907) Prec@1 57.812 (59.056) Prec@5 80.469 (81.116) Epoch: [39][790/10010] Time 0.319 (0.329) Data 0.001 (0.004) Loss 1.9294 (1.7911) Prec@1 55.469 (59.046) Prec@5 78.125 (81.106) Epoch: [39][800/10010] Time 0.322 (0.329) Data 0.001 (0.004) Loss 1.8990 (1.7911) Prec@1 59.375 (59.060) Prec@5 82.031 (81.105) Epoch: [39][810/10010] Time 0.317 (0.329) Data 0.001 (0.004) Loss 1.8206 (1.7918) Prec@1 55.469 (59.046) Prec@5 79.688 (81.076) Epoch: [39][820/10010] Time 0.342 (0.329) Data 0.000 (0.004) Loss 1.7681 (1.7906) Prec@1 57.031 (59.069) Prec@5 82.812 (81.087) Epoch: [39][830/10010] Time 0.336 (0.329) Data 0.001 (0.003) Loss 1.3569 (1.7904) Prec@1 70.312 (59.083) Prec@5 85.156 (81.094) Epoch: [39][840/10010] Time 0.314 (0.329) Data 0.001 (0.003) Loss 1.7052 (1.7902) Prec@1 58.594 (59.076) Prec@5 80.469 (81.094) Epoch: [39][850/10010] Time 0.311 (0.329) Data 0.001 (0.003) Loss 1.8106 (1.7903) Prec@1 53.906 (59.061) Prec@5 80.469 (81.096) Epoch: [39][860/10010] Time 0.334 (0.329) Data 0.001 (0.003) Loss 1.5332 (1.7908) Prec@1 63.281 (59.049) Prec@5 81.250 (81.082) Epoch: [39][870/10010] Time 0.321 (0.329) Data 0.001 (0.003) Loss 2.0478 (1.7919) Prec@1 57.031 (59.015) Prec@5 78.906 (81.053) Epoch: [39][880/10010] Time 0.315 (0.329) Data 0.001 (0.003) Loss 1.6757 (1.7928) Prec@1 67.188 (59.003) Prec@5 85.156 (81.042) Epoch: [39][890/10010] Time 0.321 (0.329) Data 0.001 (0.003) Loss 1.8785 (1.7934) Prec@1 60.938 (58.981) Prec@5 82.031 (81.040) Epoch: [39][900/10010] Time 0.315 (0.329) Data 0.000 (0.003) Loss 1.9225 (1.7920) Prec@1 56.250 (59.002) Prec@5 79.688 (81.058) Epoch: [39][910/10010] Time 0.340 (0.329) Data 0.001 (0.003) Loss 1.8104 (1.7927) Prec@1 57.812 (58.990) Prec@5 77.344 (81.044) Epoch: [39][920/10010] Time 0.326 (0.329) Data 0.001 (0.003) Loss 1.7674 (1.7926) Prec@1 62.500 (59.006) Prec@5 82.031 (81.048) Epoch: [39][930/10010] Time 0.331 (0.329) Data 0.001 (0.003) Loss 1.4283 (1.7921) Prec@1 70.312 (59.023) Prec@5 84.375 (81.059) Epoch: [39][940/10010] Time 0.315 (0.329) Data 0.001 (0.003) Loss 1.8246 (1.7916) Prec@1 57.812 (59.036) Prec@5 84.375 (81.089) Epoch: [39][950/10010] Time 0.319 (0.329) Data 0.001 (0.003) Loss 1.7130 (1.7915) Prec@1 62.500 (59.040) Prec@5 78.125 (81.080) Epoch: [39][960/10010] Time 0.336 (0.329) Data 0.001 (0.003) Loss 2.0353 (1.7927) Prec@1 58.594 (59.030) Prec@5 75.000 (81.063) Epoch: [39][970/10010] Time 0.319 (0.329) Data 0.001 (0.003) Loss 2.0327 (1.7932) Prec@1 57.812 (59.026) Prec@5 75.781 (81.056) Epoch: [39][980/10010] Time 0.328 (0.329) Data 0.000 (0.003) Loss 1.6265 (1.7919) Prec@1 55.469 (59.044) Prec@5 83.594 (81.078) Epoch: [39][990/10010] Time 0.321 (0.329) Data 0.001 (0.003) Loss 1.5545 (1.7917) Prec@1 62.500 (59.042) Prec@5 85.156 (81.070) Epoch: [39][1000/10010] Time 0.322 (0.329) Data 0.001 (0.003) Loss 1.6719 (1.7929) Prec@1 60.938 (59.040) Prec@5 82.812 (81.046) Epoch: [39][1010/10010] Time 0.318 (0.329) Data 0.001 (0.003) Loss 1.7280 (1.7923) Prec@1 63.281 (59.054) Prec@5 78.906 (81.043) Epoch: [39][1020/10010] Time 0.320 (0.329) Data 0.001 (0.003) Loss 1.6151 (1.7929) Prec@1 66.406 (59.053) Prec@5 84.375 (81.033) Epoch: [39][1030/10010] Time 0.339 (0.329) Data 0.001 (0.003) Loss 1.7157 (1.7923) Prec@1 61.719 (59.063) Prec@5 82.812 (81.048) Epoch: [39][1040/10010] Time 0.339 (0.329) Data 0.001 (0.003) Loss 1.7873 (1.7924) Prec@1 55.469 (59.055) Prec@5 82.031 (81.046) Epoch: [39][1050/10010] Time 0.338 (0.329) Data 0.001 (0.003) Loss 1.7362 (1.7921) Prec@1 63.281 (59.067) Prec@5 78.906 (81.045) Epoch: [39][1060/10010] Time 0.331 (0.329) Data 0.001 (0.003) Loss 1.6852 (1.7929) Prec@1 61.719 (59.054) Prec@5 83.594 (81.028) Epoch: [39][1070/10010] Time 0.332 (0.329) Data 0.001 (0.003) Loss 2.0344 (1.7932) Prec@1 57.812 (59.041) Prec@5 76.562 (81.027) Epoch: [39][1080/10010] Time 0.310 (0.329) Data 0.001 (0.003) Loss 1.7622 (1.7928) Prec@1 58.594 (59.051) Prec@5 80.469 (81.035) Epoch: [39][1090/10010] Time 0.336 (0.329) Data 0.000 (0.003) Loss 1.5522 (1.7920) Prec@1 64.062 (59.071) Prec@5 82.812 (81.041) Epoch: [39][1100/10010] Time 0.331 (0.329) Data 0.003 (0.003) Loss 1.8098 (1.7929) Prec@1 60.938 (59.054) Prec@5 82.031 (81.036) Epoch: [39][1110/10010] Time 0.330 (0.329) Data 0.001 (0.003) Loss 1.8828 (1.7945) Prec@1 61.719 (59.008) Prec@5 81.250 (81.017) Epoch: [39][1120/10010] Time 0.325 (0.329) Data 0.000 (0.003) Loss 1.5975 (1.7959) Prec@1 60.156 (58.975) Prec@5 85.938 (80.998) Epoch: [39][1130/10010] Time 0.329 (0.329) Data 0.001 (0.003) Loss 1.8366 (1.7963) Prec@1 64.062 (58.977) Prec@5 78.125 (80.985) Epoch: [39][1140/10010] Time 0.327 (0.329) Data 0.000 (0.003) Loss 1.9562 (1.7956) Prec@1 62.500 (58.996) Prec@5 76.562 (80.992) Epoch: [39][1150/10010] Time 0.322 (0.329) Data 0.001 (0.003) Loss 1.6807 (1.7958) Prec@1 59.375 (58.993) Prec@5 80.469 (80.999) Epoch: [39][1160/10010] Time 0.320 (0.329) Data 0.001 (0.003) Loss 1.9415 (1.7958) Prec@1 57.031 (58.999) Prec@5 75.781 (80.992) Epoch: [39][1170/10010] Time 0.328 (0.329) Data 0.001 (0.003) Loss 2.3471 (1.7964) Prec@1 47.656 (58.986) Prec@5 71.094 (80.986) Epoch: [39][1180/10010] Time 0.342 (0.329) Data 0.001 (0.003) Loss 1.7623 (1.7967) Prec@1 59.375 (58.986) Prec@5 79.688 (80.977) Epoch: [39][1190/10010] Time 0.334 (0.329) Data 0.001 (0.003) Loss 1.9418 (1.7978) Prec@1 53.125 (58.966) Prec@5 80.469 (80.961) Epoch: [39][1200/10010] Time 0.325 (0.329) Data 0.001 (0.003) Loss 1.9940 (1.7974) Prec@1 55.469 (58.970) Prec@5 78.906 (80.968) /data/vision/torralba/deepscene/lib/anaconda2/lib/python2.7/site-packages/PIL/TiffImagePlugin.py:709: UserWarning: Corrupt EXIF data. Expecting to read 4 bytes but only got 0. warnings.warn(str(msg)) Epoch: [39][1210/10010] Time 0.338 (0.329) Data 0.000 (0.003) Loss 1.8978 (1.7975) Prec@1 57.812 (58.965) Prec@5 76.562 (80.954) Epoch: [39][1220/10010] Time 0.336 (0.329) Data 0.001 (0.003) Loss 1.9427 (1.7976) Prec@1 55.469 (58.962) Prec@5 77.344 (80.944) Epoch: [39][1230/10010] Time 0.337 (0.329) Data 0.000 (0.003) Loss 1.3739 (1.7971) Prec@1 65.625 (58.967) Prec@5 86.719 (80.951) Epoch: [39][1240/10010] Time 0.345 (0.329) Data 0.000 (0.003) Loss 2.0734 (1.7974) Prec@1 53.906 (58.970) Prec@5 78.125 (80.942) Epoch: [39][1250/10010] Time 0.319 (0.329) Data 0.001 (0.003) Loss 1.6321 (1.7975) Prec@1 62.500 (58.947) Prec@5 80.469 (80.937) Epoch: [39][1260/10010] Time 0.332 (0.329) Data 0.001 (0.003) Loss 1.3954 (1.7967) Prec@1 65.625 (58.959) Prec@5 89.844 (80.957) Epoch: [39][1270/10010] Time 0.334 (0.329) Data 0.001 (0.003) Loss 1.9689 (1.7968) Prec@1 50.781 (58.953) Prec@5 77.344 (80.954) Epoch: [39][1280/10010] Time 0.326 (0.329) Data 0.001 (0.002) Loss 1.8244 (1.7962) Prec@1 57.812 (58.958) Prec@5 82.812 (80.968) Epoch: [39][1290/10010] Time 0.329 (0.329) Data 0.001 (0.002) Loss 1.9639 (1.7959) Prec@1 61.719 (58.975) Prec@5 80.469 (80.979) Epoch: [39][1300/10010] Time 0.328 (0.329) Data 0.000 (0.002) Loss 1.8366 (1.7961) Prec@1 59.375 (58.971) Prec@5 78.125 (80.978) Epoch: [39][1310/10010] Time 0.320 (0.329) Data 0.001 (0.002) Loss 1.7121 (1.7961) Prec@1 61.719 (58.969) Prec@5 82.812 (80.978) Epoch: [39][1320/10010] Time 0.331 (0.329) Data 0.001 (0.002) Loss 1.7816 (1.7951) Prec@1 56.250 (58.991) Prec@5 81.250 (80.992) Epoch: [39][1330/10010] Time 0.313 (0.329) Data 0.001 (0.002) Loss 1.8508 (1.7946) Prec@1 59.375 (59.001) Prec@5 79.688 (81.001) Epoch: [39][1340/10010] Time 0.320 (0.329) Data 0.001 (0.002) Loss 2.0929 (1.7944) Prec@1 53.906 (58.998) Prec@5 72.656 (81.008) Epoch: [39][1350/10010] Time 0.339 (0.329) Data 0.001 (0.002) Loss 2.0879 (1.7946) Prec@1 52.344 (58.989) Prec@5 77.344 (81.004) Epoch: [39][1360/10010] Time 0.338 (0.329) Data 0.001 (0.002) Loss 1.6299 (1.7939) Prec@1 60.938 (59.002) Prec@5 83.594 (81.015) Epoch: [39][1370/10010] Time 0.319 (0.329) Data 0.001 (0.002) Loss 1.6406 (1.7942) Prec@1 61.719 (58.997) Prec@5 84.375 (81.018) Epoch: [39][1380/10010] Time 0.334 (0.329) Data 0.001 (0.002) Loss 2.1570 (1.7941) Prec@1 48.438 (58.995) Prec@5 76.562 (81.016) Epoch: [39][1390/10010] Time 0.323 (0.329) Data 0.001 (0.002) Loss 1.7228 (1.7942) Prec@1 62.500 (58.988) Prec@5 81.250 (81.016) Epoch: [39][1400/10010] Time 0.317 (0.329) Data 0.001 (0.002) Loss 1.7197 (1.7945) Prec@1 57.812 (58.985) Prec@5 81.250 (81.003) Epoch: [39][1410/10010] Time 0.316 (0.329) Data 0.001 (0.002) Loss 1.7478 (1.7937) Prec@1 57.812 (58.997) Prec@5 78.125 (81.015) Epoch: [39][1420/10010] Time 0.319 (0.329) Data 0.001 (0.002) Loss 1.6583 (1.7932) Prec@1 60.156 (59.006) Prec@5 84.375 (81.019) Epoch: [39][1430/10010] Time 0.329 (0.329) Data 0.001 (0.002) Loss 1.8655 (1.7935) Prec@1 52.344 (59.003) Prec@5 78.906 (81.011) Epoch: [39][1440/10010] Time 0.329 (0.329) Data 0.001 (0.002) Loss 1.9080 (1.7936) Prec@1 60.938 (59.001) Prec@5 81.250 (81.011) Epoch: [39][1450/10010] Time 0.337 (0.329) Data 0.001 (0.002) Loss 1.9216 (1.7935) Prec@1 53.906 (59.012) Prec@5 82.031 (81.013) Epoch: [39][1460/10010] Time 0.336 (0.329) Data 0.001 (0.002) Loss 1.3924 (1.7929) Prec@1 71.875 (59.025) Prec@5 86.719 (81.014) Epoch: [39][1470/10010] Time 0.337 (0.329) Data 0.001 (0.002) Loss 1.8192 (1.7929) Prec@1 57.812 (59.018) Prec@5 81.250 (81.019) Epoch: [39][1480/10010] Time 0.340 (0.329) Data 0.001 (0.002) Loss 2.0677 (1.7929) Prec@1 49.219 (59.022) Prec@5 74.219 (81.018) Epoch: [39][1490/10010] Time 0.323 (0.329) Data 0.001 (0.002) Loss 1.8110 (1.7929) Prec@1 56.250 (59.024) Prec@5 80.469 (81.015) Epoch: [39][1500/10010] Time 0.338 (0.329) Data 0.001 (0.002) Loss 1.5139 (1.7929) Prec@1 67.969 (59.029) Prec@5 89.062 (81.007) Epoch: [39][1510/10010] Time 0.324 (0.329) Data 0.000 (0.002) Loss 1.5891 (1.7927) Prec@1 64.844 (59.036) Prec@5 83.594 (81.009) Epoch: [39][1520/10010] Time 0.324 (0.329) Data 0.001 (0.002) Loss 2.0052 (1.7926) Prec@1 54.688 (59.035) Prec@5 75.000 (81.011) Epoch: [39][1530/10010] Time 0.320 (0.329) Data 0.001 (0.002) Loss 2.0660 (1.7922) Prec@1 51.562 (59.047) Prec@5 71.094 (81.006) Epoch: [39][1540/10010] Time 0.331 (0.329) Data 0.001 (0.002) Loss 1.5880 (1.7916) Prec@1 62.500 (59.063) Prec@5 83.594 (81.010) Epoch: [39][1550/10010] Time 0.331 (0.329) Data 0.000 (0.002) Loss 1.5803 (1.7918) Prec@1 62.500 (59.055) Prec@5 82.031 (81.004) Epoch: [39][1560/10010] Time 0.336 (0.329) Data 0.001 (0.002) Loss 1.5111 (1.7913) Prec@1 60.156 (59.063) Prec@5 88.281 (81.019) Epoch: [39][1570/10010] Time 0.336 (0.329) Data 0.001 (0.002) Loss 1.8928 (1.7913) Prec@1 49.219 (59.052) Prec@5 82.812 (81.019) Epoch: [39][1580/10010] Time 0.317 (0.329) Data 0.001 (0.002) Loss 1.9238 (1.7915) Prec@1 62.500 (59.046) Prec@5 78.906 (81.013) Epoch: [39][1590/10010] Time 0.317 (0.329) Data 0.001 (0.002) Loss 1.4415 (1.7915) Prec@1 67.969 (59.046) Prec@5 85.938 (81.007) Epoch: [39][1600/10010] Time 0.328 (0.329) Data 0.000 (0.002) Loss 1.4389 (1.7911) Prec@1 69.531 (59.050) Prec@5 88.281 (81.013) Epoch: [39][1610/10010] Time 0.341 (0.329) Data 0.000 (0.002) Loss 1.7500 (1.7910) Prec@1 61.719 (59.055) Prec@5 83.594 (81.020) Epoch: [39][1620/10010] Time 0.320 (0.329) Data 0.001 (0.002) Loss 1.6454 (1.7909) Prec@1 64.062 (59.063) Prec@5 84.375 (81.023) Epoch: [39][1630/10010] Time 0.332 (0.329) Data 0.000 (0.002) Loss 1.6842 (1.7908) Prec@1 62.500 (59.068) Prec@5 80.469 (81.015) Epoch: [39][1640/10010] Time 0.332 (0.329) Data 0.001 (0.002) Loss 1.6506 (1.7902) Prec@1 65.625 (59.082) Prec@5 82.812 (81.019) Epoch: [39][1650/10010] Time 0.342 (0.329) Data 0.000 (0.002) Loss 1.8529 (1.7904) Prec@1 57.812 (59.073) Prec@5 80.469 (81.011) Epoch: [39][1660/10010] Time 0.334 (0.329) Data 0.001 (0.002) Loss 1.6515 (1.7901) Prec@1 61.719 (59.086) Prec@5 83.594 (81.016) /data/vision/torralba/deepscene/lib/anaconda2/lib/python2.7/site-packages/PIL/TiffImagePlugin.py:692: UserWarning: Possibly corrupt EXIF data. Expecting to read 2555904 bytes but only got 0. Skipping tag 0 "Skipping tag %s" % (size, len(data), tag)) Epoch: [39][1670/10010] Time 0.336 (0.329) Data 0.001 (0.002) Loss 1.6935 (1.7900) Prec@1 61.719 (59.086) Prec@5 82.812 (81.017) Epoch: [39][1680/10010] Time 0.324 (0.328) Data 0.001 (0.002) Loss 2.2570 (1.7902) Prec@1 50.781 (59.087) Prec@5 75.000 (81.010) Epoch: [39][1690/10010] Time 0.316 (0.328) Data 0.000 (0.002) Loss 2.1601 (1.7902) Prec@1 53.906 (59.088) Prec@5 72.656 (81.006) Epoch: [39][1700/10010] Time 0.328 (0.328) Data 0.001 (0.002) Loss 1.6624 (1.7901) Prec@1 58.594 (59.087) Prec@5 83.594 (81.010) Epoch: [39][1710/10010] Time 0.323 (0.328) Data 0.000 (0.002) Loss 1.7372 (1.7896) Prec@1 61.719 (59.098) Prec@5 85.156 (81.019) Epoch: [39][1720/10010] Time 0.322 (0.328) Data 0.001 (0.002) Loss 1.7998 (1.7901) Prec@1 56.250 (59.096) Prec@5 83.594 (81.008) Epoch: [39][1730/10010] Time 0.334 (0.328) Data 0.001 (0.002) Loss 2.1019 (1.7906) Prec@1 51.562 (59.080) Prec@5 79.688 (80.997) Epoch: [39][1740/10010] Time 0.311 (0.328) Data 0.001 (0.002) Loss 1.6708 (1.7909) Prec@1 67.188 (59.089) Prec@5 78.125 (80.985) Epoch: [39][1750/10010] Time 0.332 (0.328) Data 0.000 (0.002) Loss 1.6685 (1.7910) Prec@1 66.406 (59.077) Prec@5 79.688 (80.979) Epoch: [39][1760/10010] Time 0.323 (0.328) Data 0.001 (0.002) Loss 1.4697 (1.7912) Prec@1 62.500 (59.076) Prec@5 85.156 (80.974) Epoch: [39][1770/10010] Time 0.329 (0.328) Data 0.001 (0.002) Loss 1.7809 (1.7913) Prec@1 60.938 (59.087) Prec@5 80.469 (80.967) Epoch: [39][1780/10010] Time 0.319 (0.328) Data 0.001 (0.002) Loss 1.8551 (1.7916) Prec@1 62.500 (59.086) Prec@5 78.125 (80.966) Epoch: [39][1790/10010] Time 0.338 (0.328) Data 0.001 (0.002) Loss 1.8588 (1.7908) Prec@1 61.719 (59.101) Prec@5 79.688 (80.974) Epoch: [39][1800/10010] Time 0.336 (0.328) Data 0.001 (0.002) Loss 1.4950 (1.7906) Prec@1 64.844 (59.104) Prec@5 83.594 (80.970) Epoch: [39][1810/10010] Time 0.310 (0.328) Data 0.001 (0.002) Loss 1.6945 (1.7909) Prec@1 61.719 (59.099) Prec@5 82.031 (80.962) Epoch: [39][1820/10010] Time 0.324 (0.328) Data 0.001 (0.002) Loss 1.6985 (1.7916) Prec@1 64.062 (59.085) Prec@5 80.469 (80.947) Epoch: [39][1830/10010] Time 0.336 (0.328) Data 0.001 (0.002) Loss 2.0004 (1.7920) Prec@1 53.906 (59.080) Prec@5 77.344 (80.942) Epoch: [39][1840/10010] Time 0.339 (0.328) Data 0.000 (0.002) Loss 1.7487 (1.7922) Prec@1 60.156 (59.078) Prec@5 78.906 (80.939) Epoch: [39][1850/10010] Time 0.318 (0.328) Data 0.001 (0.002) Loss 1.7722 (1.7921) Prec@1 60.156 (59.091) Prec@5 82.031 (80.941) Epoch: [39][1860/10010] Time 0.318 (0.328) Data 0.000 (0.002) Loss 1.7272 (1.7919) Prec@1 62.500 (59.092) Prec@5 82.031 (80.958) Epoch: [39][1870/10010] Time 0.314 (0.328) Data 0.001 (0.002) Loss 1.8265 (1.7918) Prec@1 58.594 (59.092) Prec@5 78.906 (80.963) Epoch: [39][1880/10010] Time 0.317 (0.328) Data 0.001 (0.002) Loss 1.8189 (1.7916) Prec@1 60.156 (59.093) Prec@5 82.031 (80.961) Epoch: [39][1890/10010] Time 0.324 (0.328) Data 0.001 (0.002) Loss 1.8695 (1.7924) Prec@1 57.812 (59.077) Prec@5 79.688 (80.947) Epoch: [39][1900/10010] Time 0.328 (0.328) Data 0.001 (0.002) Loss 1.5044 (1.7921) Prec@1 62.500 (59.081) Prec@5 86.719 (80.953) Epoch: [39][1910/10010] Time 0.330 (0.328) Data 0.000 (0.002) Loss 1.7407 (1.7917) Prec@1 63.281 (59.095) Prec@5 83.594 (80.956) Epoch: [39][1920/10010] Time 0.325 (0.328) Data 0.001 (0.002) Loss 1.9958 (1.7919) Prec@1 54.688 (59.092) Prec@5 78.906 (80.954) Epoch: [39][1930/10010] Time 0.335 (0.328) Data 0.001 (0.002) Loss 1.8329 (1.7919) Prec@1 60.156 (59.088) Prec@5 81.250 (80.951) Epoch: [39][1940/10010] Time 0.331 (0.328) Data 0.001 (0.002) Loss 1.8590 (1.7918) Prec@1 58.594 (59.096) Prec@5 82.031 (80.953) Epoch: [39][1950/10010] Time 0.334 (0.328) Data 0.001 (0.002) Loss 1.5520 (1.7912) Prec@1 64.062 (59.108) Prec@5 81.250 (80.961) Epoch: [39][1960/10010] Time 0.330 (0.328) Data 0.000 (0.002) Loss 2.0954 (1.7913) Prec@1 55.469 (59.104) Prec@5 74.219 (80.954) Epoch: [39][1970/10010] Time 0.320 (0.328) Data 0.000 (0.002) Loss 1.7143 (1.7913) Prec@1 57.812 (59.107) Prec@5 81.250 (80.956) Epoch: [39][1980/10010] Time 0.339 (0.328) Data 0.000 (0.002) Loss 2.0209 (1.7912) Prec@1 51.562 (59.109) Prec@5 74.219 (80.952) Epoch: [39][1990/10010] Time 0.333 (0.328) Data 0.001 (0.002) Loss 1.8043 (1.7915) Prec@1 60.938 (59.109) Prec@5 78.125 (80.946) Epoch: [39][2000/10010] Time 0.319 (0.328) Data 0.001 (0.002) Loss 1.8282 (1.7918) Prec@1 53.125 (59.096) Prec@5 79.688 (80.939) Epoch: [39][2010/10010] Time 0.313 (0.328) Data 0.000 (0.002) Loss 1.6920 (1.7918) Prec@1 60.938 (59.098) Prec@5 81.250 (80.940) Epoch: [39][2020/10010] Time 0.328 (0.328) Data 0.001 (0.002) Loss 2.0706 (1.7920) Prec@1 55.469 (59.100) Prec@5 76.562 (80.933) Epoch: [39][2030/10010] Time 0.339 (0.328) Data 0.000 (0.002) Loss 1.8888 (1.7921) Prec@1 58.594 (59.099) Prec@5 78.125 (80.932) Epoch: [39][2040/10010] Time 0.339 (0.328) Data 0.001 (0.002) Loss 1.4745 (1.7920) Prec@1 64.844 (59.102) Prec@5 84.375 (80.937) Epoch: [39][2050/10010] Time 0.337 (0.328) Data 0.000 (0.002) Loss 1.6762 (1.7918) Prec@1 55.469 (59.106) Prec@5 82.031 (80.945) Epoch: [39][2060/10010] Time 0.338 (0.328) Data 0.001 (0.002) Loss 1.9093 (1.7922) Prec@1 60.156 (59.101) Prec@5 81.250 (80.942) Epoch: [39][2070/10010] Time 0.335 (0.328) Data 0.001 (0.002) Loss 1.5623 (1.7919) Prec@1 64.062 (59.100) Prec@5 85.156 (80.946) Epoch: [39][2080/10010] Time 0.314 (0.328) Data 0.001 (0.002) Loss 1.8535 (1.7918) Prec@1 56.250 (59.102) Prec@5 78.125 (80.943) Epoch: [39][2090/10010] Time 0.321 (0.328) Data 0.001 (0.002) Loss 1.7274 (1.7917) Prec@1 64.844 (59.107) Prec@5 79.688 (80.941) Epoch: [39][2100/10010] Time 0.336 (0.328) Data 0.001 (0.002) Loss 2.0806 (1.7916) Prec@1 57.031 (59.106) Prec@5 78.125 (80.945) Epoch: [39][2110/10010] Time 0.337 (0.328) Data 0.001 (0.002) Loss 1.6304 (1.7920) Prec@1 60.938 (59.097) Prec@5 82.031 (80.941) Epoch: [39][2120/10010] Time 0.337 (0.328) Data 0.000 (0.002) Loss 1.7266 (1.7916) Prec@1 56.250 (59.105) Prec@5 81.250 (80.949) Epoch: [39][2130/10010] Time 0.337 (0.328) Data 0.000 (0.002) Loss 2.1245 (1.7922) Prec@1 53.906 (59.097) Prec@5 75.781 (80.944) Epoch: [39][2140/10010] Time 0.335 (0.328) Data 0.001 (0.002) Loss 1.4856 (1.7922) Prec@1 68.750 (59.098) Prec@5 84.375 (80.946) Epoch: [39][2150/10010] Time 0.323 (0.328) Data 0.000 (0.002) Loss 1.7597 (1.7920) Prec@1 58.594 (59.105) Prec@5 83.594 (80.951) Epoch: [39][2160/10010] Time 0.337 (0.328) Data 0.001 (0.002) Loss 1.8213 (1.7920) Prec@1 57.031 (59.111) Prec@5 82.031 (80.954) Epoch: [39][2170/10010] Time 0.340 (0.328) Data 0.001 (0.002) Loss 1.8193 (1.7925) Prec@1 54.688 (59.100) Prec@5 82.812 (80.943) Epoch: [39][2180/10010] Time 0.342 (0.328) Data 0.001 (0.002) Loss 1.7244 (1.7928) Prec@1 58.594 (59.096) Prec@5 82.812 (80.946) Epoch: [39][2190/10010] Time 0.325 (0.328) Data 0.000 (0.002) Loss 1.6929 (1.7928) Prec@1 65.625 (59.100) Prec@5 80.469 (80.945) Epoch: [39][2200/10010] Time 0.324 (0.328) Data 0.001 (0.002) Loss 1.8004 (1.7933) Prec@1 58.594 (59.091) Prec@5 79.688 (80.933) Epoch: [39][2210/10010] Time 0.319 (0.328) Data 0.001 (0.002) Loss 1.9122 (1.7938) Prec@1 57.031 (59.079) Prec@5 76.562 (80.929) Epoch: [39][2220/10010] Time 0.338 (0.328) Data 0.001 (0.002) Loss 1.4981 (1.7939) Prec@1 67.969 (59.081) Prec@5 85.938 (80.926) Epoch: [39][2230/10010] Time 0.317 (0.328) Data 0.000 (0.002) Loss 1.8985 (1.7945) Prec@1 60.938 (59.070) Prec@5 78.125 (80.917) Epoch: [39][2240/10010] Time 0.330 (0.328) Data 0.001 (0.002) Loss 1.5643 (1.7944) Prec@1 62.500 (59.069) Prec@5 84.375 (80.920) Epoch: [39][2250/10010] Time 0.314 (0.328) Data 0.001 (0.002) Loss 1.6447 (1.7943) Prec@1 62.500 (59.075) Prec@5 82.031 (80.921) Epoch: [39][2260/10010] Time 0.340 (0.328) Data 0.001 (0.002) Loss 1.7436 (1.7936) Prec@1 60.156 (59.089) Prec@5 77.344 (80.928) Epoch: [39][2270/10010] Time 0.314 (0.328) Data 0.000 (0.002) Loss 1.6768 (1.7937) Prec@1 58.594 (59.085) Prec@5 82.031 (80.925) Epoch: [39][2280/10010] Time 0.320 (0.328) Data 0.000 (0.002) Loss 1.7774 (1.7938) Prec@1 57.812 (59.086) Prec@5 82.031 (80.927) Epoch: [39][2290/10010] Time 0.318 (0.328) Data 0.001 (0.002) Loss 1.7447 (1.7942) Prec@1 57.812 (59.077) Prec@5 82.812 (80.924) Epoch: [39][2300/10010] Time 0.320 (0.328) Data 0.001 (0.002) Loss 2.1977 (1.7947) Prec@1 51.562 (59.075) Prec@5 75.781 (80.922) Epoch: [39][2310/10010] Time 0.330 (0.328) Data 0.000 (0.002) Loss 1.9296 (1.7945) Prec@1 51.562 (59.079) Prec@5 76.562 (80.919) Epoch: [39][2320/10010] Time 0.322 (0.328) Data 0.001 (0.002) Loss 2.0380 (1.7946) Prec@1 60.156 (59.072) Prec@5 78.906 (80.919) Epoch: [39][2330/10010] Time 0.316 (0.328) Data 0.001 (0.002) Loss 1.9436 (1.7949) Prec@1 58.594 (59.070) Prec@5 82.031 (80.913) Epoch: [39][2340/10010] Time 0.328 (0.328) Data 0.000 (0.002) Loss 1.6466 (1.7947) Prec@1 60.938 (59.079) Prec@5 81.250 (80.918) Epoch: [39][2350/10010] Time 0.318 (0.328) Data 0.000 (0.002) Loss 1.6529 (1.7949) Prec@1 64.844 (59.082) Prec@5 85.938 (80.914) Epoch: [39][2360/10010] Time 0.339 (0.328) Data 0.000 (0.002) Loss 2.0051 (1.7950) Prec@1 57.031 (59.085) Prec@5 76.562 (80.911) Epoch: [39][2370/10010] Time 0.324 (0.328) Data 0.001 (0.002) Loss 1.5029 (1.7950) Prec@1 65.625 (59.087) Prec@5 83.594 (80.908) Epoch: [39][2380/10010] Time 0.336 (0.328) Data 0.000 (0.002) Loss 2.2663 (1.7947) Prec@1 46.875 (59.083) Prec@5 70.312 (80.910) Epoch: [39][2390/10010] Time 0.321 (0.328) Data 0.000 (0.002) Loss 2.0185 (1.7949) Prec@1 53.906 (59.079) Prec@5 77.344 (80.912) Epoch: [39][2400/10010] Time 0.324 (0.328) Data 0.000 (0.002) Loss 1.8983 (1.7951) Prec@1 60.938 (59.085) Prec@5 82.031 (80.911) Epoch: [39][2410/10010] Time 0.325 (0.328) Data 0.001 (0.002) Loss 1.8006 (1.7953) Prec@1 63.281 (59.083) Prec@5 82.031 (80.911) Epoch: [39][2420/10010] Time 0.336 (0.328) Data 0.000 (0.002) Loss 1.7083 (1.7955) Prec@1 59.375 (59.083) Prec@5 82.812 (80.904) Epoch: [39][2430/10010] Time 0.328 (0.328) Data 0.001 (0.002) Loss 1.6782 (1.7955) Prec@1 60.938 (59.087) Prec@5 81.250 (80.903) Epoch: [39][2440/10010] Time 0.310 (0.328) Data 0.001 (0.002) Loss 1.8444 (1.7951) Prec@1 60.156 (59.095) Prec@5 75.781 (80.907) Epoch: [39][2450/10010] Time 0.339 (0.328) Data 0.001 (0.002) Loss 1.7665 (1.7945) Prec@1 59.375 (59.104) Prec@5 83.594 (80.915) Epoch: [39][2460/10010] Time 0.315 (0.328) Data 0.001 (0.002) Loss 1.7009 (1.7949) Prec@1 60.156 (59.100) Prec@5 82.031 (80.909) Epoch: [39][2470/10010] Time 0.315 (0.328) Data 0.001 (0.002) Loss 1.6064 (1.7948) Prec@1 65.625 (59.102) Prec@5 85.156 (80.917) Epoch: [39][2480/10010] Time 0.319 (0.328) Data 0.000 (0.002) Loss 1.5404 (1.7948) Prec@1 64.062 (59.099) Prec@5 85.938 (80.917) Epoch: [39][2490/10010] Time 0.342 (0.328) Data 0.001 (0.002) Loss 1.7789 (1.7949) Prec@1 60.938 (59.098) Prec@5 78.906 (80.913) Epoch: [39][2500/10010] Time 0.335 (0.328) Data 0.001 (0.002) Loss 1.8210 (1.7947) Prec@1 60.156 (59.102) Prec@5 79.688 (80.919) Epoch: [39][2510/10010] Time 0.338 (0.328) Data 0.001 (0.002) Loss 1.9502 (1.7948) Prec@1 58.594 (59.102) Prec@5 77.344 (80.916) Epoch: [39][2520/10010] Time 0.333 (0.328) Data 0.001 (0.002) Loss 2.0148 (1.7948) Prec@1 54.688 (59.099) Prec@5 76.562 (80.920) Epoch: [39][2530/10010] Time 0.314 (0.328) Data 0.001 (0.002) Loss 1.4187 (1.7948) Prec@1 67.969 (59.096) Prec@5 86.719 (80.914) Epoch: [39][2540/10010] Time 0.333 (0.328) Data 0.000 (0.002) Loss 1.5894 (1.7950) Prec@1 64.844 (59.096) Prec@5 84.375 (80.911) Epoch: [39][2550/10010] Time 0.312 (0.328) Data 0.000 (0.002) Loss 1.7692 (1.7949) Prec@1 58.594 (59.097) Prec@5 82.031 (80.909) Epoch: [39][2560/10010] Time 0.324 (0.328) Data 0.000 (0.002) Loss 1.7864 (1.7953) Prec@1 58.594 (59.090) Prec@5 80.469 (80.898) Epoch: [39][2570/10010] Time 0.330 (0.328) Data 0.001 (0.002) Loss 1.9230 (1.7954) Prec@1 57.031 (59.085) Prec@5 78.906 (80.898) Epoch: [39][2580/10010] Time 0.322 (0.328) Data 0.001 (0.002) Loss 1.8964 (1.7956) Prec@1 55.469 (59.083) Prec@5 83.594 (80.894) Epoch: [39][2590/10010] Time 0.335 (0.328) Data 0.001 (0.002) Loss 1.9748 (1.7961) Prec@1 54.688 (59.074) Prec@5 81.250 (80.889) Epoch: [39][2600/10010] Time 0.317 (0.328) Data 0.001 (0.002) Loss 1.9199 (1.7960) Prec@1 59.375 (59.082) Prec@5 80.469 (80.892) Epoch: [39][2610/10010] Time 0.330 (0.328) Data 0.000 (0.002) Loss 1.7860 (1.7959) Prec@1 57.031 (59.084) Prec@5 81.250 (80.897) Epoch: [39][2620/10010] Time 0.336 (0.328) Data 0.001 (0.002) Loss 1.8234 (1.7954) Prec@1 60.938 (59.092) Prec@5 79.688 (80.906) Epoch: [39][2630/10010] Time 0.335 (0.328) Data 0.001 (0.002) Loss 2.2518 (1.7956) Prec@1 58.594 (59.097) Prec@5 76.562 (80.905) Epoch: [39][2640/10010] Time 0.330 (0.328) Data 0.001 (0.002) Loss 1.9364 (1.7958) Prec@1 56.250 (59.098) Prec@5 82.031 (80.906) Epoch: [39][2650/10010] Time 0.338 (0.328) Data 0.001 (0.002) Loss 1.4332 (1.7958) Prec@1 65.625 (59.092) Prec@5 86.719 (80.906) Epoch: [39][2660/10010] Time 0.325 (0.328) Data 0.001 (0.002) Loss 1.6590 (1.7954) Prec@1 61.719 (59.091) Prec@5 83.594 (80.911) Epoch: [39][2670/10010] Time 0.338 (0.328) Data 0.000 (0.002) Loss 1.5764 (1.7950) Prec@1 63.281 (59.095) Prec@5 85.938 (80.920) Epoch: [39][2680/10010] Time 0.321 (0.328) Data 0.000 (0.002) Loss 1.8036 (1.7948) Prec@1 59.375 (59.096) Prec@5 80.469 (80.926) Epoch: [39][2690/10010] Time 0.319 (0.328) Data 0.000 (0.002) Loss 1.9996 (1.7949) Prec@1 53.906 (59.093) Prec@5 78.906 (80.925) Epoch: [39][2700/10010] Time 0.332 (0.328) Data 0.001 (0.002) Loss 2.0312 (1.7951) Prec@1 51.562 (59.094) Prec@5 76.562 (80.924) Epoch: [39][2710/10010] Time 0.320 (0.328) Data 0.000 (0.002) Loss 1.8797 (1.7953) Prec@1 54.688 (59.087) Prec@5 80.469 (80.922) Epoch: [39][2720/10010] Time 0.339 (0.328) Data 0.000 (0.002) Loss 1.6166 (1.7955) Prec@1 64.062 (59.088) Prec@5 81.250 (80.919) /data/vision/torralba/deepscene/lib/anaconda2/lib/python2.7/site-packages/PIL/TiffImagePlugin.py:692: UserWarning: Possibly corrupt EXIF data. Expecting to read 1835008 bytes but only got 0. Skipping tag 0 "Skipping tag %s" % (size, len(data), tag)) Epoch: [39][2730/10010] Time 0.318 (0.328) Data 0.001 (0.002) Loss 1.9270 (1.7954) Prec@1 48.438 (59.090) Prec@5 79.688 (80.924) Epoch: [39][2740/10010] Time 0.333 (0.328) Data 0.001 (0.002) Loss 1.4088 (1.7955) Prec@1 67.188 (59.092) Prec@5 87.500 (80.922) Epoch: [39][2750/10010] Time 0.322 (0.328) Data 0.000 (0.002) Loss 1.9024 (1.7956) Prec@1 53.906 (59.090) Prec@5 75.000 (80.919) Epoch: [39][2760/10010] Time 0.321 (0.328) Data 0.001 (0.002) Loss 1.8171 (1.7959) Prec@1 55.469 (59.086) Prec@5 81.250 (80.915) Epoch: [39][2770/10010] Time 0.328 (0.328) Data 0.000 (0.002) Loss 1.9566 (1.7959) Prec@1 58.594 (59.082) Prec@5 78.125 (80.915) Epoch: [39][2780/10010] Time 0.316 (0.328) Data 0.001 (0.002) Loss 1.7718 (1.7959) Prec@1 59.375 (59.081) Prec@5 83.594 (80.916) Epoch: [39][2790/10010] Time 0.336 (0.328) Data 0.001 (0.002) Loss 2.1025 (1.7962) Prec@1 50.000 (59.071) Prec@5 78.906 (80.914) Epoch: [39][2800/10010] Time 0.314 (0.328) Data 0.001 (0.002) Loss 1.5883 (1.7961) Prec@1 64.062 (59.070) Prec@5 86.719 (80.917) Epoch: [39][2810/10010] Time 0.317 (0.328) Data 0.001 (0.001) Loss 1.6833 (1.7961) Prec@1 67.188 (59.077) Prec@5 80.469 (80.916) Epoch: [39][2820/10010] Time 0.318 (0.328) Data 0.001 (0.001) Loss 1.8023 (1.7962) Prec@1 60.938 (59.075) Prec@5 82.031 (80.910) Epoch: [39][2830/10010] Time 0.329 (0.328) Data 0.001 (0.001) Loss 2.1923 (1.7966) Prec@1 54.688 (59.067) Prec@5 74.219 (80.908) Epoch: [39][2840/10010] Time 0.325 (0.328) Data 0.001 (0.001) Loss 1.8720 (1.7963) Prec@1 57.812 (59.080) Prec@5 78.125 (80.911) Epoch: [39][2850/10010] Time 0.318 (0.328) Data 0.001 (0.001) Loss 1.9053 (1.7965) Prec@1 51.562 (59.075) Prec@5 78.125 (80.910) Epoch: [39][2860/10010] Time 0.331 (0.328) Data 0.000 (0.001) Loss 1.6781 (1.7965) Prec@1 58.594 (59.073) Prec@5 78.906 (80.908) Epoch: [39][2870/10010] Time 0.316 (0.328) Data 0.001 (0.001) Loss 1.9241 (1.7969) Prec@1 51.562 (59.065) Prec@5 78.125 (80.900) Epoch: [39][2880/10010] Time 0.334 (0.328) Data 0.001 (0.001) Loss 1.7139 (1.7971) Prec@1 64.062 (59.059) Prec@5 80.469 (80.896) Epoch: [39][2890/10010] Time 0.322 (0.328) Data 0.001 (0.001) Loss 1.9671 (1.7971) Prec@1 61.719 (59.065) Prec@5 78.125 (80.894) Epoch: [39][2900/10010] Time 0.329 (0.328) Data 0.001 (0.001) Loss 1.5993 (1.7970) Prec@1 66.406 (59.067) Prec@5 81.250 (80.897) Epoch: [39][2910/10010] Time 0.333 (0.328) Data 0.001 (0.001) Loss 1.6388 (1.7970) Prec@1 59.375 (59.064) Prec@5 83.594 (80.895) Epoch: [39][2920/10010] Time 0.337 (0.328) Data 0.001 (0.001) Loss 1.9076 (1.7971) Prec@1 57.812 (59.063) Prec@5 78.906 (80.892) Epoch: [39][2930/10010] Time 0.322 (0.328) Data 0.000 (0.001) Loss 1.5649 (1.7969) Prec@1 67.969 (59.067) Prec@5 82.812 (80.899) Epoch: [39][2940/10010] Time 0.326 (0.328) Data 0.001 (0.001) Loss 1.8937 (1.7968) Prec@1 58.594 (59.067) Prec@5 79.688 (80.904) Epoch: [39][2950/10010] Time 0.318 (0.328) Data 0.001 (0.001) Loss 1.6748 (1.7972) Prec@1 59.375 (59.059) Prec@5 83.594 (80.899) Epoch: [39][2960/10010] Time 0.326 (0.328) Data 0.000 (0.001) Loss 1.8805 (1.7973) Prec@1 58.594 (59.058) Prec@5 78.906 (80.900) Epoch: [39][2970/10010] Time 0.339 (0.328) Data 0.001 (0.001) Loss 1.6536 (1.7973) Prec@1 62.500 (59.057) Prec@5 82.031 (80.902) Epoch: [39][2980/10010] Time 0.330 (0.328) Data 0.001 (0.001) Loss 1.5438 (1.7970) Prec@1 61.719 (59.056) Prec@5 85.938 (80.907) Epoch: [39][2990/10010] Time 0.318 (0.328) Data 0.001 (0.001) Loss 1.8254 (1.7971) Prec@1 56.250 (59.056) Prec@5 78.125 (80.906) Epoch: [39][3000/10010] Time 0.323 (0.328) Data 0.000 (0.001) Loss 1.9376 (1.7974) Prec@1 55.469 (59.047) Prec@5 82.031 (80.903) Epoch: [39][3010/10010] Time 0.340 (0.328) Data 0.001 (0.001) Loss 2.0174 (1.7974) Prec@1 54.688 (59.048) Prec@5 78.906 (80.903) Epoch: [39][3020/10010] Time 0.331 (0.328) Data 0.000 (0.001) Loss 1.5248 (1.7974) Prec@1 64.062 (59.051) Prec@5 82.031 (80.903) Epoch: [39][3030/10010] Time 0.320 (0.328) Data 0.000 (0.001) Loss 1.5579 (1.7973) Prec@1 65.625 (59.047) Prec@5 83.594 (80.905) Epoch: [39][3040/10010] Time 0.319 (0.328) Data 0.001 (0.001) Loss 1.4853 (1.7972) Prec@1 62.500 (59.054) Prec@5 85.938 (80.908) Epoch: [39][3050/10010] Time 0.341 (0.328) Data 0.001 (0.001) Loss 1.7109 (1.7972) Prec@1 58.594 (59.053) Prec@5 82.812 (80.907) Epoch: [39][3060/10010] Time 0.328 (0.328) Data 0.001 (0.001) Loss 1.7409 (1.7975) Prec@1 65.625 (59.048) Prec@5 82.812 (80.902) Epoch: [39][3070/10010] Time 0.337 (0.328) Data 0.000 (0.001) Loss 2.0841 (1.7978) Prec@1 52.344 (59.041) Prec@5 78.125 (80.899) Epoch: [39][3080/10010] Time 0.324 (0.328) Data 0.001 (0.001) Loss 1.8682 (1.7976) Prec@1 57.031 (59.043) Prec@5 78.906 (80.902) Epoch: [39][3090/10010] Time 0.341 (0.328) Data 0.001 (0.001) Loss 1.9962 (1.7977) Prec@1 52.344 (59.045) Prec@5 76.562 (80.898) Epoch: [39][3100/10010] Time 0.325 (0.328) Data 0.001 (0.001) Loss 2.0400 (1.7981) Prec@1 51.562 (59.034) Prec@5 80.469 (80.894) Epoch: [39][3110/10010] Time 0.341 (0.328) Data 0.001 (0.001) Loss 1.6728 (1.7981) Prec@1 63.281 (59.034) Prec@5 81.250 (80.891) Epoch: [39][3120/10010] Time 0.342 (0.328) Data 0.000 (0.001) Loss 1.4999 (1.7982) Prec@1 64.844 (59.031) Prec@5 84.375 (80.890) Epoch: [39][3130/10010] Time 0.320 (0.328) Data 0.000 (0.001) Loss 1.6401 (1.7981) Prec@1 62.500 (59.032) Prec@5 82.812 (80.888) Epoch: [39][3140/10010] Time 0.329 (0.328) Data 0.001 (0.001) Loss 2.1082 (1.7986) Prec@1 50.000 (59.024) Prec@5 72.656 (80.881) Epoch: [39][3150/10010] Time 0.341 (0.328) Data 0.000 (0.001) Loss 1.7148 (1.7987) Prec@1 63.281 (59.020) Prec@5 83.594 (80.883) Epoch: [39][3160/10010] Time 0.337 (0.328) Data 0.001 (0.001) Loss 1.9161 (1.7990) Prec@1 55.469 (59.013) Prec@5 78.906 (80.876) Epoch: [39][3170/10010] Time 0.311 (0.328) Data 0.001 (0.001) Loss 1.8268 (1.7989) Prec@1 63.281 (59.014) Prec@5 80.469 (80.879) Epoch: [39][3180/10010] Time 0.339 (0.328) Data 0.001 (0.001) Loss 1.9040 (1.7988) Prec@1 54.688 (59.010) Prec@5 78.906 (80.882) Epoch: [39][3190/10010] Time 0.312 (0.328) Data 0.000 (0.001) Loss 1.6258 (1.7987) Prec@1 65.625 (59.015) Prec@5 83.594 (80.881) Epoch: [39][3200/10010] Time 0.323 (0.328) Data 0.001 (0.001) Loss 1.7400 (1.7987) Prec@1 60.938 (59.009) Prec@5 80.469 (80.877) Epoch: [39][3210/10010] Time 0.335 (0.328) Data 0.001 (0.001) Loss 1.9778 (1.7987) Prec@1 54.688 (59.008) Prec@5 79.688 (80.873) Epoch: [39][3220/10010] Time 0.313 (0.328) Data 0.001 (0.001) Loss 1.5987 (1.7987) Prec@1 62.500 (59.011) Prec@5 85.156 (80.871) Epoch: [39][3230/10010] Time 0.317 (0.328) Data 0.001 (0.001) Loss 2.1774 (1.7988) Prec@1 48.438 (59.010) Prec@5 78.125 (80.870) Epoch: [39][3240/10010] Time 0.333 (0.328) Data 0.000 (0.001) Loss 2.0200 (1.7986) Prec@1 53.906 (59.014) Prec@5 78.906 (80.874) Epoch: [39][3250/10010] Time 0.315 (0.328) Data 0.001 (0.001) Loss 2.0654 (1.7984) Prec@1 53.906 (59.015) Prec@5 74.219 (80.877) Epoch: [39][3260/10010] Time 0.342 (0.328) Data 0.000 (0.001) Loss 1.8758 (1.7981) Prec@1 57.812 (59.022) Prec@5 79.688 (80.882) Epoch: [39][3270/10010] Time 0.317 (0.328) Data 0.001 (0.001) Loss 1.9840 (1.7980) Prec@1 58.594 (59.017) Prec@5 79.688 (80.886) Epoch: [39][3280/10010] Time 0.336 (0.328) Data 0.000 (0.001) Loss 1.6364 (1.7983) Prec@1 61.719 (59.012) Prec@5 83.594 (80.881) Epoch: [39][3290/10010] Time 0.330 (0.328) Data 0.001 (0.001) Loss 2.0018 (1.7981) Prec@1 55.469 (59.016) Prec@5 74.219 (80.884) Epoch: [39][3300/10010] Time 0.321 (0.328) Data 0.001 (0.001) Loss 1.9455 (1.7982) Prec@1 58.594 (59.013) Prec@5 78.906 (80.883) Epoch: [39][3310/10010] Time 0.321 (0.328) Data 0.001 (0.001) Loss 2.0862 (1.7982) Prec@1 58.594 (59.014) Prec@5 74.219 (80.886) Epoch: [39][3320/10010] Time 0.338 (0.328) Data 0.000 (0.001) Loss 1.8743 (1.7985) Prec@1 57.812 (59.012) Prec@5 76.562 (80.881) Epoch: [39][3330/10010] Time 0.324 (0.328) Data 0.000 (0.001) Loss 1.7596 (1.7985) Prec@1 61.719 (59.009) Prec@5 78.906 (80.881) Epoch: [39][3340/10010] Time 0.311 (0.328) Data 0.001 (0.001) Loss 2.0125 (1.7989) Prec@1 54.688 (58.998) Prec@5 78.125 (80.878) Epoch: [39][3350/10010] Time 0.339 (0.328) Data 0.000 (0.001) Loss 2.1145 (1.7990) Prec@1 46.875 (58.997) Prec@5 75.000 (80.876) Epoch: [39][3360/10010] Time 0.323 (0.328) Data 0.001 (0.001) Loss 1.8976 (1.7989) Prec@1 61.719 (59.000) Prec@5 80.469 (80.876) Epoch: [39][3370/10010] Time 0.342 (0.328) Data 0.001 (0.001) Loss 1.7072 (1.7988) Prec@1 58.594 (59.003) Prec@5 83.594 (80.880) Epoch: [39][3380/10010] Time 0.314 (0.328) Data 0.000 (0.001) Loss 1.9230 (1.7990) Prec@1 59.375 (59.000) Prec@5 80.469 (80.881) Epoch: [39][3390/10010] Time 0.334 (0.328) Data 0.001 (0.001) Loss 1.6686 (1.7989) Prec@1 61.719 (59.000) Prec@5 80.469 (80.882) Epoch: [39][3400/10010] Time 0.339 (0.328) Data 0.000 (0.001) Loss 1.5481 (1.7988) Prec@1 67.188 (59.000) Prec@5 82.031 (80.878) Epoch: [39][3410/10010] Time 0.331 (0.328) Data 0.001 (0.001) Loss 1.7806 (1.7986) Prec@1 59.375 (59.006) Prec@5 81.250 (80.878) Epoch: [39][3420/10010] Time 0.325 (0.328) Data 0.000 (0.001) Loss 1.5726 (1.7987) Prec@1 64.062 (59.002) Prec@5 83.594 (80.877) Epoch: [39][3430/10010] Time 0.339 (0.328) Data 0.001 (0.001) Loss 1.6483 (1.7986) Prec@1 65.625 (59.005) Prec@5 78.906 (80.876) Epoch: [39][3440/10010] Time 0.324 (0.328) Data 0.000 (0.001) Loss 2.1504 (1.7988) Prec@1 55.469 (59.002) Prec@5 73.438 (80.872) Epoch: [39][3450/10010] Time 0.335 (0.328) Data 0.001 (0.001) Loss 1.7268 (1.7989) Prec@1 58.594 (58.995) Prec@5 84.375 (80.870) Epoch: [39][3460/10010] Time 0.335 (0.328) Data 0.000 (0.001) Loss 1.6358 (1.7990) Prec@1 60.938 (58.991) Prec@5 85.156 (80.869) Epoch: [39][3470/10010] Time 0.324 (0.328) Data 0.001 (0.001) Loss 1.9397 (1.7992) Prec@1 61.719 (58.990) Prec@5 78.125 (80.868) Epoch: [39][3480/10010] Time 0.341 (0.328) Data 0.001 (0.001) Loss 1.8244 (1.7990) Prec@1 57.031 (58.990) Prec@5 80.469 (80.870) Epoch: [39][3490/10010] Time 0.325 (0.328) Data 0.001 (0.001) Loss 1.9891 (1.7989) Prec@1 56.250 (58.992) Prec@5 82.812 (80.878) Epoch: [39][3500/10010] Time 0.332 (0.328) Data 0.000 (0.001) Loss 1.6548 (1.7987) Prec@1 60.156 (58.992) Prec@5 81.250 (80.879) Epoch: [39][3510/10010] Time 0.311 (0.328) Data 0.001 (0.001) Loss 1.6992 (1.7984) Prec@1 60.938 (58.997) Prec@5 82.812 (80.884) Epoch: [39][3520/10010] Time 0.312 (0.328) Data 0.000 (0.001) Loss 1.4525 (1.7983) Prec@1 64.844 (58.999) Prec@5 84.375 (80.883) Epoch: [39][3530/10010] Time 0.319 (0.328) Data 0.001 (0.001) Loss 1.7039 (1.7984) Prec@1 57.812 (58.994) Prec@5 84.375 (80.882) Epoch: [39][3540/10010] Time 0.335 (0.328) Data 0.001 (0.001) Loss 1.6987 (1.7984) Prec@1 61.719 (58.998) Prec@5 82.812 (80.883) Epoch: [39][3550/10010] Time 0.331 (0.328) Data 0.000 (0.001) Loss 1.8145 (1.7981) Prec@1 59.375 (59.004) Prec@5 81.250 (80.886) Epoch: [39][3560/10010] Time 0.319 (0.328) Data 0.001 (0.001) Loss 2.0752 (1.7983) Prec@1 53.906 (59.000) Prec@5 76.562 (80.883) Epoch: [39][3570/10010] Time 0.341 (0.328) Data 0.001 (0.001) Loss 1.8443 (1.7985) Prec@1 57.812 (58.996) Prec@5 82.812 (80.879) Epoch: [39][3580/10010] Time 0.319 (0.328) Data 0.001 (0.001) Loss 2.1681 (1.7985) Prec@1 53.906 (58.997) Prec@5 76.562 (80.876) Epoch: [39][3590/10010] Time 0.313 (0.328) Data 0.001 (0.001) Loss 2.0730 (1.7988) Prec@1 54.688 (58.997) Prec@5 78.125 (80.870) Epoch: [39][3600/10010] Time 0.315 (0.328) Data 0.001 (0.001) Loss 1.7079 (1.7987) Prec@1 60.938 (59.001) Prec@5 78.906 (80.869) Epoch: [39][3610/10010] Time 0.339 (0.328) Data 0.000 (0.001) Loss 1.7179 (1.7987) Prec@1 64.844 (59.001) Prec@5 82.031 (80.869) Epoch: [39][3620/10010] Time 0.327 (0.328) Data 0.001 (0.001) Loss 1.9138 (1.7987) Prec@1 56.250 (59.002) Prec@5 78.906 (80.869) Epoch: [39][3630/10010] Time 0.318 (0.328) Data 0.001 (0.001) Loss 1.5891 (1.7984) Prec@1 64.844 (59.005) Prec@5 83.594 (80.873) Epoch: [39][3640/10010] Time 0.341 (0.328) Data 0.001 (0.001) Loss 1.7901 (1.7984) Prec@1 60.938 (59.008) Prec@5 82.031 (80.873) Epoch: [39][3650/10010] Time 0.324 (0.328) Data 0.001 (0.001) Loss 2.0320 (1.7984) Prec@1 50.781 (59.007) Prec@5 75.781 (80.871) Epoch: [39][3660/10010] Time 0.336 (0.328) Data 0.001 (0.001) Loss 1.8978 (1.7984) Prec@1 57.812 (59.011) Prec@5 81.250 (80.871) Epoch: [39][3670/10010] Time 0.338 (0.328) Data 0.001 (0.001) Loss 1.7759 (1.7985) Prec@1 57.812 (59.007) Prec@5 81.250 (80.872) Epoch: [39][3680/10010] Time 0.317 (0.328) Data 0.001 (0.001) Loss 1.9329 (1.7988) Prec@1 55.469 (58.998) Prec@5 85.156 (80.870) Epoch: [39][3690/10010] Time 0.314 (0.328) Data 0.001 (0.001) Loss 1.7862 (1.7991) Prec@1 60.156 (58.992) Prec@5 82.812 (80.868) Epoch: [39][3700/10010] Time 0.317 (0.328) Data 0.001 (0.001) Loss 1.7296 (1.7991) Prec@1 61.719 (58.990) Prec@5 82.812 (80.866) Epoch: [39][3710/10010] Time 0.338 (0.328) Data 0.001 (0.001) Loss 2.1904 (1.7993) Prec@1 51.562 (58.992) Prec@5 78.906 (80.867) Epoch: [39][3720/10010] Time 0.330 (0.328) Data 0.001 (0.001) Loss 1.7471 (1.7994) Prec@1 61.719 (58.991) Prec@5 82.031 (80.867) Epoch: [39][3730/10010] Time 0.339 (0.328) Data 0.000 (0.001) Loss 1.8381 (1.7994) Prec@1 55.469 (58.989) Prec@5 76.562 (80.865) Epoch: [39][3740/10010] Time 0.319 (0.328) Data 0.000 (0.001) Loss 1.9129 (1.7995) Prec@1 57.031 (58.982) Prec@5 78.125 (80.867) Epoch: [39][3750/10010] Time 0.320 (0.328) Data 0.001 (0.001) Loss 1.6519 (1.7993) Prec@1 62.500 (58.986) Prec@5 82.812 (80.869) Epoch: [39][3760/10010] Time 0.319 (0.328) Data 0.000 (0.001) Loss 1.8194 (1.7990) Prec@1 60.938 (58.994) Prec@5 80.469 (80.876) Epoch: [39][3770/10010] Time 0.333 (0.328) Data 0.001 (0.001) Loss 1.4951 (1.7990) Prec@1 62.500 (58.993) Prec@5 84.375 (80.875) Epoch: [39][3780/10010] Time 0.328 (0.328) Data 0.001 (0.001) Loss 2.0274 (1.7991) Prec@1 54.688 (58.991) Prec@5 78.906 (80.875) Epoch: [39][3790/10010] Time 0.339 (0.328) Data 0.001 (0.001) Loss 1.6797 (1.7993) Prec@1 60.156 (58.993) Prec@5 80.469 (80.869) Epoch: [39][3800/10010] Time 0.304 (0.328) Data 0.001 (0.001) Loss 1.7029 (1.7991) Prec@1 55.469 (58.993) Prec@5 82.031 (80.870) Epoch: [39][3810/10010] Time 0.328 (0.328) Data 0.001 (0.001) Loss 1.3058 (1.7990) Prec@1 73.438 (58.999) Prec@5 85.938 (80.873) Epoch: [39][3820/10010] Time 0.321 (0.328) Data 0.001 (0.001) Loss 1.9047 (1.7991) Prec@1 56.250 (58.998) Prec@5 76.562 (80.873) Epoch: [39][3830/10010] Time 0.319 (0.328) Data 0.000 (0.001) Loss 1.6181 (1.7991) Prec@1 63.281 (58.999) Prec@5 83.594 (80.876) Epoch: [39][3840/10010] Time 0.343 (0.328) Data 0.001 (0.001) Loss 2.0432 (1.7992) Prec@1 53.906 (58.998) Prec@5 76.562 (80.875) Epoch: [39][3850/10010] Time 0.321 (0.328) Data 0.001 (0.001) Loss 1.6438 (1.7992) Prec@1 63.281 (58.994) Prec@5 81.250 (80.874) Epoch: [39][3860/10010] Time 0.335 (0.328) Data 0.001 (0.001) Loss 1.7888 (1.7993) Prec@1 58.594 (58.991) Prec@5 81.250 (80.873) Epoch: [39][3870/10010] Time 0.318 (0.328) Data 0.001 (0.001) Loss 1.8889 (1.7994) Prec@1 56.250 (58.992) Prec@5 78.906 (80.873) Epoch: [39][3880/10010] Time 0.326 (0.328) Data 0.001 (0.001) Loss 1.6496 (1.7995) Prec@1 60.938 (58.987) Prec@5 86.719 (80.874) Epoch: [39][3890/10010] Time 0.333 (0.328) Data 0.001 (0.001) Loss 1.8288 (1.7996) Prec@1 60.938 (58.982) Prec@5 80.469 (80.873) Epoch: [39][3900/10010] Time 0.318 (0.328) Data 0.000 (0.001) Loss 1.8625 (1.7995) Prec@1 57.812 (58.985) Prec@5 79.688 (80.876) Epoch: [39][3910/10010] Time 0.342 (0.328) Data 0.000 (0.001) Loss 2.2908 (1.8000) Prec@1 53.125 (58.975) Prec@5 77.344 (80.871) Epoch: [39][3920/10010] Time 0.322 (0.328) Data 0.001 (0.001) Loss 1.5873 (1.7996) Prec@1 64.062 (58.982) Prec@5 83.594 (80.877) Epoch: [39][3930/10010] Time 0.336 (0.328) Data 0.001 (0.001) Loss 2.1043 (1.7997) Prec@1 55.469 (58.981) Prec@5 77.344 (80.875) Epoch: [39][3940/10010] Time 0.333 (0.328) Data 0.001 (0.001) Loss 2.3854 (1.7995) Prec@1 51.562 (58.986) Prec@5 73.438 (80.879) Epoch: [39][3950/10010] Time 0.340 (0.328) Data 0.000 (0.001) Loss 1.8141 (1.7994) Prec@1 61.719 (58.989) Prec@5 78.125 (80.879) Epoch: [39][3960/10010] Time 0.323 (0.328) Data 0.001 (0.001) Loss 2.0183 (1.7997) Prec@1 59.375 (58.991) Prec@5 77.344 (80.876) Epoch: [39][3970/10010] Time 0.321 (0.328) Data 0.001 (0.001) Loss 1.4761 (1.7996) Prec@1 65.625 (58.989) Prec@5 85.938 (80.878) Epoch: [39][3980/10010] Time 0.319 (0.328) Data 0.001 (0.001) Loss 1.6616 (1.7995) Prec@1 64.062 (58.991) Prec@5 82.031 (80.878) Epoch: [39][3990/10010] Time 0.327 (0.328) Data 0.001 (0.001) Loss 1.7650 (1.7996) Prec@1 60.938 (58.988) Prec@5 80.469 (80.878) Epoch: [39][4000/10010] Time 0.337 (0.328) Data 0.001 (0.001) Loss 1.5868 (1.7996) Prec@1 62.500 (58.986) Prec@5 85.938 (80.879) Epoch: [39][4010/10010] Time 0.335 (0.328) Data 0.001 (0.001) Loss 1.5186 (1.7995) Prec@1 64.062 (58.983) Prec@5 87.500 (80.881) Epoch: [39][4020/10010] Time 0.320 (0.328) Data 0.001 (0.001) Loss 1.6291 (1.7994) Prec@1 63.281 (58.987) Prec@5 82.812 (80.882) Epoch: [39][4030/10010] Time 0.323 (0.328) Data 0.001 (0.001) Loss 1.6989 (1.7994) Prec@1 65.625 (58.987) Prec@5 82.031 (80.880) Epoch: [39][4040/10010] Time 0.326 (0.328) Data 0.001 (0.001) Loss 1.6796 (1.7995) Prec@1 61.719 (58.987) Prec@5 84.375 (80.879) Epoch: [39][4050/10010] Time 0.332 (0.328) Data 0.001 (0.001) Loss 1.5803 (1.7994) Prec@1 68.750 (58.991) Prec@5 89.062 (80.878) Epoch: [39][4060/10010] Time 0.333 (0.328) Data 0.001 (0.001) Loss 1.7637 (1.7997) Prec@1 58.594 (58.984) Prec@5 78.125 (80.874) Epoch: [39][4070/10010] Time 0.335 (0.328) Data 0.000 (0.001) Loss 1.5462 (1.7998) Prec@1 59.375 (58.982) Prec@5 89.062 (80.872) Epoch: [39][4080/10010] Time 0.318 (0.328) Data 0.001 (0.001) Loss 1.9423 (1.8000) Prec@1 57.031 (58.975) Prec@5 81.250 (80.866) Epoch: [39][4090/10010] Time 0.338 (0.328) Data 0.000 (0.001) Loss 1.8078 (1.8000) Prec@1 57.031 (58.978) Prec@5 81.250 (80.865) Epoch: [39][4100/10010] Time 0.333 (0.328) Data 0.001 (0.001) Loss 1.8938 (1.8001) Prec@1 55.469 (58.977) Prec@5 78.125 (80.864) Epoch: [39][4110/10010] Time 0.334 (0.328) Data 0.001 (0.001) Loss 1.5395 (1.8003) Prec@1 59.375 (58.973) Prec@5 84.375 (80.861) Epoch: [39][4120/10010] Time 0.314 (0.328) Data 0.001 (0.001) Loss 1.8715 (1.8003) Prec@1 58.594 (58.972) Prec@5 78.125 (80.860) Epoch: [39][4130/10010] Time 0.333 (0.328) Data 0.001 (0.001) Loss 1.5519 (1.8003) Prec@1 61.719 (58.972) Prec@5 85.938 (80.859) Epoch: [39][4140/10010] Time 0.319 (0.328) Data 0.001 (0.001) Loss 1.7046 (1.8002) Prec@1 57.812 (58.971) Prec@5 84.375 (80.861) Epoch: [39][4150/10010] Time 0.339 (0.328) Data 0.000 (0.001) Loss 2.1132 (1.8002) Prec@1 50.781 (58.971) Prec@5 77.344 (80.863) Epoch: [39][4160/10010] Time 0.331 (0.328) Data 0.001 (0.001) Loss 2.4239 (1.8005) Prec@1 46.875 (58.968) Prec@5 70.312 (80.859) Epoch: [39][4170/10010] Time 0.320 (0.328) Data 0.001 (0.001) Loss 1.7345 (1.8004) Prec@1 59.375 (58.973) Prec@5 80.469 (80.859) Epoch: [39][4180/10010] Time 0.318 (0.328) Data 0.001 (0.001) Loss 1.7539 (1.8002) Prec@1 59.375 (58.975) Prec@5 82.031 (80.860) Epoch: [39][4190/10010] Time 0.318 (0.328) Data 0.001 (0.001) Loss 1.6317 (1.8001) Prec@1 63.281 (58.978) Prec@5 83.594 (80.861) Epoch: [39][4200/10010] Time 0.327 (0.328) Data 0.001 (0.001) Loss 1.7401 (1.8000) Prec@1 63.281 (58.981) Prec@5 84.375 (80.864) Epoch: [39][4210/10010] Time 0.319 (0.328) Data 0.000 (0.001) Loss 1.8799 (1.8003) Prec@1 56.250 (58.974) Prec@5 80.469 (80.860) Epoch: [39][4220/10010] Time 0.324 (0.328) Data 0.001 (0.001) Loss 1.8667 (1.8002) Prec@1 58.594 (58.976) Prec@5 78.125 (80.862) Epoch: [39][4230/10010] Time 0.322 (0.328) Data 0.001 (0.001) Loss 2.1292 (1.8003) Prec@1 53.906 (58.978) Prec@5 75.000 (80.860) Epoch: [39][4240/10010] Time 0.338 (0.328) Data 0.001 (0.001) Loss 1.7660 (1.8005) Prec@1 60.156 (58.976) Prec@5 80.469 (80.858) Epoch: [39][4250/10010] Time 0.319 (0.328) Data 0.001 (0.001) Loss 1.7032 (1.8004) Prec@1 65.625 (58.979) Prec@5 82.812 (80.861) Epoch: [39][4260/10010] Time 0.326 (0.328) Data 0.001 (0.001) Loss 1.8180 (1.8004) Prec@1 60.938 (58.982) Prec@5 81.250 (80.862) Epoch: [39][4270/10010] Time 0.341 (0.328) Data 0.001 (0.001) Loss 1.9696 (1.8006) Prec@1 55.469 (58.975) Prec@5 76.562 (80.860) Epoch: [39][4280/10010] Time 0.334 (0.328) Data 0.001 (0.001) Loss 1.9195 (1.8007) Prec@1 55.469 (58.973) Prec@5 76.562 (80.860) Epoch: [39][4290/10010] Time 0.319 (0.328) Data 0.001 (0.001) Loss 1.9337 (1.8008) Prec@1 58.594 (58.969) Prec@5 81.250 (80.859) Epoch: [39][4300/10010] Time 0.332 (0.328) Data 0.001 (0.001) Loss 1.7715 (1.8008) Prec@1 57.031 (58.971) Prec@5 79.688 (80.858) Epoch: [39][4310/10010] Time 0.325 (0.328) Data 0.000 (0.001) Loss 1.4884 (1.8007) Prec@1 66.406 (58.974) Prec@5 85.938 (80.859) Epoch: [39][4320/10010] Time 0.325 (0.328) Data 0.001 (0.001) Loss 1.7642 (1.8008) Prec@1 59.375 (58.973) Prec@5 78.906 (80.856) Epoch: [39][4330/10010] Time 0.325 (0.328) Data 0.001 (0.001) Loss 2.0952 (1.8010) Prec@1 56.250 (58.969) Prec@5 80.469 (80.853) Epoch: [39][4340/10010] Time 0.334 (0.328) Data 0.001 (0.001) Loss 2.0369 (1.8011) Prec@1 56.250 (58.970) Prec@5 73.438 (80.851) Epoch: [39][4350/10010] Time 0.339 (0.328) Data 0.001 (0.001) Loss 1.8868 (1.8010) Prec@1 59.375 (58.972) Prec@5 80.469 (80.853) Epoch: [39][4360/10010] Time 0.320 (0.328) Data 0.001 (0.001) Loss 1.8342 (1.8011) Prec@1 60.156 (58.970) Prec@5 76.562 (80.850) Epoch: [39][4370/10010] Time 0.327 (0.328) Data 0.001 (0.001) Loss 2.0475 (1.8012) Prec@1 53.906 (58.968) Prec@5 76.562 (80.849) Epoch: [39][4380/10010] Time 0.325 (0.328) Data 0.001 (0.001) Loss 1.5093 (1.8012) Prec@1 60.938 (58.970) Prec@5 85.156 (80.849) Epoch: [39][4390/10010] Time 0.333 (0.328) Data 0.000 (0.001) Loss 1.7253 (1.8009) Prec@1 62.500 (58.977) Prec@5 79.688 (80.852) Epoch: [39][4400/10010] Time 0.331 (0.328) Data 0.000 (0.001) Loss 1.9379 (1.8010) Prec@1 60.156 (58.977) Prec@5 79.688 (80.852) Epoch: [39][4410/10010] Time 0.332 (0.328) Data 0.001 (0.001) Loss 1.8992 (1.8010) Prec@1 52.344 (58.977) Prec@5 75.781 (80.849) Epoch: [39][4420/10010] Time 0.332 (0.328) Data 0.001 (0.001) Loss 2.3531 (1.8011) Prec@1 50.781 (58.976) Prec@5 71.094 (80.848) Epoch: [39][4430/10010] Time 0.329 (0.328) Data 0.001 (0.001) Loss 1.6872 (1.8009) Prec@1 57.031 (58.979) Prec@5 84.375 (80.853) Epoch: [39][4440/10010] Time 0.319 (0.328) Data 0.000 (0.001) Loss 1.9177 (1.8010) Prec@1 58.594 (58.976) Prec@5 78.906 (80.849) Epoch: [39][4450/10010] Time 0.332 (0.328) Data 0.001 (0.001) Loss 1.8463 (1.8008) Prec@1 53.906 (58.980) Prec@5 81.250 (80.853) Epoch: [39][4460/10010] Time 0.328 (0.328) Data 0.001 (0.001) Loss 1.7024 (1.8007) Prec@1 58.594 (58.981) Prec@5 80.469 (80.855) Epoch: [39][4470/10010] Time 0.335 (0.328) Data 0.001 (0.001) Loss 1.4482 (1.8007) Prec@1 64.844 (58.982) Prec@5 82.812 (80.857) Epoch: [39][4480/10010] Time 0.334 (0.328) Data 0.000 (0.001) Loss 1.7197 (1.8008) Prec@1 64.844 (58.983) Prec@5 79.688 (80.856) Epoch: [39][4490/10010] Time 0.319 (0.328) Data 0.001 (0.001) Loss 1.8570 (1.8008) Prec@1 59.375 (58.981) Prec@5 82.031 (80.855) Epoch: [39][4500/10010] Time 0.340 (0.328) Data 0.000 (0.001) Loss 2.0630 (1.8007) Prec@1 57.031 (58.981) Prec@5 77.344 (80.855) Epoch: [39][4510/10010] Time 0.326 (0.328) Data 0.001 (0.001) Loss 1.8534 (1.8008) Prec@1 53.125 (58.980) Prec@5 80.469 (80.851) Epoch: [39][4520/10010] Time 0.312 (0.328) Data 0.000 (0.001) Loss 2.0427 (1.8009) Prec@1 57.812 (58.980) Prec@5 76.562 (80.851) Epoch: [39][4530/10010] Time 0.327 (0.328) Data 0.001 (0.001) Loss 1.5347 (1.8007) Prec@1 63.281 (58.982) Prec@5 85.156 (80.858) Epoch: [39][4540/10010] Time 0.340 (0.328) Data 0.001 (0.001) Loss 1.9740 (1.8006) Prec@1 56.250 (58.984) Prec@5 78.125 (80.859) Epoch: [39][4550/10010] Time 0.336 (0.328) Data 0.001 (0.001) Loss 1.5238 (1.8006) Prec@1 67.188 (58.985) Prec@5 85.938 (80.858) Epoch: [39][4560/10010] Time 0.320 (0.328) Data 0.001 (0.001) Loss 2.1892 (1.8010) Prec@1 50.781 (58.976) Prec@5 73.438 (80.851) Epoch: [39][4570/10010] Time 0.344 (0.328) Data 0.001 (0.001) Loss 1.9795 (1.8011) Prec@1 56.250 (58.976) Prec@5 75.000 (80.851) Epoch: [39][4580/10010] Time 0.329 (0.328) Data 0.001 (0.001) Loss 1.7008 (1.8010) Prec@1 61.719 (58.978) Prec@5 81.250 (80.850) Epoch: [39][4590/10010] Time 0.325 (0.328) Data 0.001 (0.001) Loss 1.7278 (1.8010) Prec@1 61.719 (58.976) Prec@5 82.812 (80.848) Epoch: [39][4600/10010] Time 0.343 (0.328) Data 0.000 (0.001) Loss 1.8961 (1.8011) Prec@1 57.812 (58.976) Prec@5 80.469 (80.846) Epoch: [39][4610/10010] Time 0.340 (0.328) Data 0.001 (0.001) Loss 1.9279 (1.8014) Prec@1 58.594 (58.969) Prec@5 80.469 (80.844) Epoch: [39][4620/10010] Time 0.324 (0.328) Data 0.001 (0.001) Loss 1.6250 (1.8014) Prec@1 59.375 (58.971) Prec@5 81.250 (80.840) Epoch: [39][4630/10010] Time 0.336 (0.328) Data 0.001 (0.001) Loss 1.5850 (1.8015) Prec@1 63.281 (58.970) Prec@5 82.812 (80.838) Epoch: [39][4640/10010] Time 0.324 (0.328) Data 0.000 (0.001) Loss 1.8764 (1.8015) Prec@1 60.156 (58.968) Prec@5 83.594 (80.840) Epoch: [39][4650/10010] Time 0.310 (0.328) Data 0.001 (0.001) Loss 1.4817 (1.8016) Prec@1 66.406 (58.963) Prec@5 85.156 (80.836) Epoch: [39][4660/10010] Time 0.322 (0.328) Data 0.001 (0.001) Loss 1.6802 (1.8014) Prec@1 62.500 (58.967) Prec@5 82.812 (80.839) Epoch: [39][4670/10010] Time 0.322 (0.328) Data 0.001 (0.001) Loss 1.6134 (1.8014) Prec@1 60.156 (58.969) Prec@5 86.719 (80.840) Epoch: [39][4680/10010] Time 0.320 (0.328) Data 0.001 (0.001) Loss 1.9184 (1.8015) Prec@1 58.594 (58.973) Prec@5 78.125 (80.838) Epoch: [39][4690/10010] Time 0.333 (0.328) Data 0.001 (0.001) Loss 1.8012 (1.8017) Prec@1 55.469 (58.970) Prec@5 81.250 (80.835) Epoch: [39][4700/10010] Time 0.329 (0.328) Data 0.000 (0.001) Loss 2.1476 (1.8018) Prec@1 52.344 (58.968) Prec@5 72.656 (80.833) Epoch: [39][4710/10010] Time 0.318 (0.328) Data 0.001 (0.001) Loss 1.6511 (1.8016) Prec@1 60.938 (58.973) Prec@5 81.250 (80.836) Epoch: [39][4720/10010] Time 0.318 (0.328) Data 0.001 (0.001) Loss 2.0496 (1.8015) Prec@1 57.031 (58.975) Prec@5 78.906 (80.835) Epoch: [39][4730/10010] Time 0.326 (0.328) Data 0.001 (0.001) Loss 1.4614 (1.8016) Prec@1 67.188 (58.975) Prec@5 84.375 (80.830) Epoch: [39][4740/10010] Time 0.324 (0.328) Data 0.001 (0.001) Loss 1.9955 (1.8018) Prec@1 54.688 (58.971) Prec@5 76.562 (80.828) Epoch: [39][4750/10010] Time 0.318 (0.328) Data 0.000 (0.001) Loss 1.6772 (1.8016) Prec@1 60.938 (58.975) Prec@5 85.156 (80.833) Epoch: [39][4760/10010] Time 0.337 (0.328) Data 0.001 (0.001) Loss 1.7603 (1.8017) Prec@1 60.156 (58.971) Prec@5 80.469 (80.829) Epoch: [39][4770/10010] Time 0.327 (0.328) Data 0.000 (0.001) Loss 1.7609 (1.8017) Prec@1 60.156 (58.969) Prec@5 78.906 (80.826) Epoch: [39][4780/10010] Time 0.336 (0.328) Data 0.001 (0.001) Loss 1.7193 (1.8018) Prec@1 56.250 (58.969) Prec@5 78.906 (80.827) Epoch: [39][4790/10010] Time 0.322 (0.328) Data 0.001 (0.001) Loss 2.3409 (1.8020) Prec@1 48.438 (58.962) Prec@5 75.781 (80.826) Epoch: [39][4800/10010] Time 0.313 (0.328) Data 0.001 (0.001) Loss 1.6608 (1.8018) Prec@1 59.375 (58.963) Prec@5 81.250 (80.827) Epoch: [39][4810/10010] Time 0.327 (0.328) Data 0.000 (0.001) Loss 1.8212 (1.8018) Prec@1 60.938 (58.963) Prec@5 80.469 (80.829) Epoch: [39][4820/10010] Time 0.323 (0.328) Data 0.001 (0.001) Loss 1.9240 (1.8018) Prec@1 59.375 (58.965) Prec@5 77.344 (80.829) Epoch: [39][4830/10010] Time 0.319 (0.328) Data 0.000 (0.001) Loss 1.5305 (1.8019) Prec@1 65.625 (58.964) Prec@5 84.375 (80.829) Epoch: [39][4840/10010] Time 0.320 (0.328) Data 0.001 (0.001) Loss 1.8313 (1.8020) Prec@1 63.281 (58.962) Prec@5 80.469 (80.826) Epoch: [39][4850/10010] Time 0.322 (0.328) Data 0.001 (0.001) Loss 1.8279 (1.8021) Prec@1 60.156 (58.963) Prec@5 80.469 (80.826) Epoch: [39][4860/10010] Time 0.329 (0.328) Data 0.001 (0.001) Loss 1.8511 (1.8022) Prec@1 59.375 (58.963) Prec@5 82.031 (80.824) Epoch: [39][4870/10010] Time 0.328 (0.328) Data 0.001 (0.001) Loss 2.0876 (1.8023) Prec@1 52.344 (58.959) Prec@5 80.469 (80.824) Epoch: [39][4880/10010] Time 0.319 (0.328) Data 0.001 (0.001) Loss 1.7579 (1.8022) Prec@1 61.719 (58.961) Prec@5 81.250 (80.826) Epoch: [39][4890/10010] Time 0.319 (0.328) Data 0.001 (0.001) Loss 1.9907 (1.8023) Prec@1 60.156 (58.958) Prec@5 79.688 (80.827) Epoch: [39][4900/10010] Time 0.330 (0.328) Data 0.000 (0.001) Loss 1.9477 (1.8024) Prec@1 57.031 (58.956) Prec@5 80.469 (80.825) Epoch: [39][4910/10010] Time 0.319 (0.328) Data 0.001 (0.001) Loss 1.7900 (1.8022) Prec@1 56.250 (58.956) Prec@5 75.000 (80.828) Epoch: [39][4920/10010] Time 0.328 (0.328) Data 0.000 (0.001) Loss 1.8969 (1.8022) Prec@1 55.469 (58.958) Prec@5 78.125 (80.829) Epoch: [39][4930/10010] Time 0.319 (0.328) Data 0.000 (0.001) Loss 1.7626 (1.8022) Prec@1 53.125 (58.957) Prec@5 78.906 (80.830) Epoch: [39][4940/10010] Time 0.318 (0.328) Data 0.001 (0.001) Loss 1.8436 (1.8022) Prec@1 61.719 (58.958) Prec@5 78.125 (80.830) Epoch: [39][4950/10010] Time 0.321 (0.328) Data 0.000 (0.001) Loss 1.4877 (1.8021) Prec@1 66.406 (58.961) Prec@5 83.594 (80.831) Epoch: [39][4960/10010] Time 0.338 (0.328) Data 0.000 (0.001) Loss 1.7882 (1.8021) Prec@1 60.156 (58.963) Prec@5 82.812 (80.832) Epoch: [39][4970/10010] Time 0.329 (0.328) Data 0.001 (0.001) Loss 1.8867 (1.8020) Prec@1 57.031 (58.962) Prec@5 76.562 (80.835) Epoch: [39][4980/10010] Time 0.327 (0.328) Data 0.001 (0.001) Loss 1.7578 (1.8020) Prec@1 60.938 (58.964) Prec@5 78.906 (80.835) Epoch: [39][4990/10010] Time 0.313 (0.328) Data 0.001 (0.001) Loss 1.6484 (1.8019) Prec@1 61.719 (58.968) Prec@5 82.812 (80.837) Epoch: [39][5000/10010] Time 0.311 (0.328) Data 0.001 (0.001) Loss 2.0183 (1.8019) Prec@1 54.688 (58.968) Prec@5 73.438 (80.836) Epoch: [39][5010/10010] Time 0.323 (0.328) Data 0.001 (0.001) Loss 1.6773 (1.8018) Prec@1 59.375 (58.970) Prec@5 81.250 (80.837) Epoch: [39][5020/10010] Time 0.320 (0.328) Data 0.001 (0.001) Loss 1.9358 (1.8022) Prec@1 57.031 (58.962) Prec@5 78.906 (80.830) Epoch: [39][5030/10010] Time 0.331 (0.328) Data 0.001 (0.001) Loss 1.6288 (1.8020) Prec@1 59.375 (58.966) Prec@5 85.156 (80.833) Epoch: [39][5040/10010] Time 0.318 (0.328) Data 0.000 (0.001) Loss 1.8453 (1.8020) Prec@1 54.688 (58.963) Prec@5 77.344 (80.833) Epoch: [39][5050/10010] Time 0.325 (0.328) Data 0.001 (0.001) Loss 1.9582 (1.8020) Prec@1 54.688 (58.961) Prec@5 78.906 (80.831) Epoch: [39][5060/10010] Time 0.332 (0.328) Data 0.001 (0.001) Loss 2.0311 (1.8022) Prec@1 54.688 (58.959) Prec@5 81.250 (80.828) Epoch: [39][5070/10010] Time 0.320 (0.328) Data 0.001 (0.001) Loss 1.6147 (1.8020) Prec@1 62.500 (58.962) Prec@5 86.719 (80.832) Epoch: [39][5080/10010] Time 0.314 (0.328) Data 0.001 (0.001) Loss 1.6137 (1.8018) Prec@1 64.062 (58.968) Prec@5 85.938 (80.836) Epoch: [39][5090/10010] Time 0.329 (0.328) Data 0.001 (0.001) Loss 1.8422 (1.8019) Prec@1 64.844 (58.968) Prec@5 81.250 (80.836) Epoch: [39][5100/10010] Time 0.324 (0.328) Data 0.001 (0.001) Loss 1.8852 (1.8019) Prec@1 57.031 (58.967) Prec@5 80.469 (80.836) Epoch: [39][5110/10010] Time 0.316 (0.328) Data 0.001 (0.001) Loss 1.7252 (1.8020) Prec@1 56.250 (58.962) Prec@5 82.812 (80.836) Epoch: [39][5120/10010] Time 0.338 (0.328) Data 0.001 (0.001) Loss 1.9083 (1.8020) Prec@1 52.344 (58.962) Prec@5 78.125 (80.835) Epoch: [39][5130/10010] Time 0.326 (0.328) Data 0.000 (0.001) Loss 1.9642 (1.8021) Prec@1 52.344 (58.959) Prec@5 76.562 (80.835) Epoch: [39][5140/10010] Time 0.328 (0.328) Data 0.001 (0.001) Loss 2.0140 (1.8022) Prec@1 51.562 (58.956) Prec@5 77.344 (80.833) Epoch: [39][5150/10010] Time 0.333 (0.328) Data 0.001 (0.001) Loss 1.7176 (1.8024) Prec@1 60.156 (58.956) Prec@5 85.938 (80.830) Epoch: [39][5160/10010] Time 0.316 (0.328) Data 0.001 (0.001) Loss 1.7233 (1.8026) Prec@1 57.812 (58.953) Prec@5 84.375 (80.828) Epoch: [39][5170/10010] Time 0.341 (0.328) Data 0.001 (0.001) Loss 2.1243 (1.8027) Prec@1 55.469 (58.950) Prec@5 78.906 (80.826) Epoch: [39][5180/10010] Time 0.322 (0.328) Data 0.000 (0.001) Loss 2.3486 (1.8029) Prec@1 56.250 (58.948) Prec@5 70.312 (80.823) Epoch: [39][5190/10010] Time 0.327 (0.328) Data 0.001 (0.001) Loss 1.8219 (1.8029) Prec@1 63.281 (58.949) Prec@5 78.906 (80.822) Epoch: [39][5200/10010] Time 0.342 (0.328) Data 0.001 (0.001) Loss 2.0285 (1.8032) Prec@1 54.688 (58.941) Prec@5 75.781 (80.815) Epoch: [39][5210/10010] Time 0.316 (0.328) Data 0.001 (0.001) Loss 1.8538 (1.8034) Prec@1 61.719 (58.940) Prec@5 82.031 (80.812) Epoch: [39][5220/10010] Time 0.338 (0.328) Data 0.001 (0.001) Loss 1.8465 (1.8037) Prec@1 58.594 (58.936) Prec@5 80.469 (80.809) Epoch: [39][5230/10010] Time 0.318 (0.328) Data 0.000 (0.001) Loss 2.1173 (1.8039) Prec@1 56.250 (58.933) Prec@5 76.562 (80.806) Epoch: [39][5240/10010] Time 0.337 (0.328) Data 0.001 (0.001) Loss 1.8013 (1.8038) Prec@1 55.469 (58.937) Prec@5 81.250 (80.805) Epoch: [39][5250/10010] Time 0.337 (0.328) Data 0.001 (0.001) Loss 1.7869 (1.8039) Prec@1 60.938 (58.934) Prec@5 78.906 (80.804) Epoch: [39][5260/10010] Time 0.335 (0.328) Data 0.001 (0.001) Loss 1.6741 (1.8039) Prec@1 62.500 (58.937) Prec@5 80.469 (80.804) Epoch: [39][5270/10010] Time 0.337 (0.328) Data 0.001 (0.001) Loss 1.6174 (1.8039) Prec@1 58.594 (58.936) Prec@5 83.594 (80.802) Epoch: [39][5280/10010] Time 0.315 (0.328) Data 0.001 (0.001) Loss 1.7442 (1.8039) Prec@1 57.031 (58.938) Prec@5 84.375 (80.802) Epoch: [39][5290/10010] Time 0.321 (0.328) Data 0.001 (0.001) Loss 1.5308 (1.8040) Prec@1 65.625 (58.935) Prec@5 85.938 (80.800) Epoch: [39][5300/10010] Time 0.335 (0.328) Data 0.001 (0.001) Loss 1.8886 (1.8041) Prec@1 58.594 (58.936) Prec@5 79.688 (80.799) Epoch: [39][5310/10010] Time 0.334 (0.328) Data 0.001 (0.001) Loss 2.1736 (1.8040) Prec@1 55.469 (58.939) Prec@5 75.781 (80.802) Epoch: [39][5320/10010] Time 0.339 (0.328) Data 0.001 (0.001) Loss 1.5445 (1.8040) Prec@1 61.719 (58.939) Prec@5 85.938 (80.802) Epoch: [39][5330/10010] Time 0.317 (0.328) Data 0.001 (0.001) Loss 1.7746 (1.8041) Prec@1 56.250 (58.935) Prec@5 82.031 (80.799) Epoch: [39][5340/10010] Time 0.339 (0.328) Data 0.001 (0.001) Loss 1.4206 (1.8039) Prec@1 69.531 (58.938) Prec@5 88.281 (80.801) Epoch: [39][5350/10010] Time 0.333 (0.328) Data 0.001 (0.001) Loss 1.8480 (1.8039) Prec@1 60.938 (58.938) Prec@5 79.688 (80.800) Epoch: [39][5360/10010] Time 0.336 (0.328) Data 0.001 (0.001) Loss 1.9370 (1.8038) Prec@1 53.125 (58.937) Prec@5 78.125 (80.800) Epoch: [39][5370/10010] Time 0.312 (0.328) Data 0.001 (0.001) Loss 1.8827 (1.8040) Prec@1 60.156 (58.936) Prec@5 79.688 (80.797) Epoch: [39][5380/10010] Time 0.340 (0.328) Data 0.001 (0.001) Loss 1.9595 (1.8043) Prec@1 55.469 (58.934) Prec@5 78.906 (80.793) Epoch: [39][5390/10010] Time 0.327 (0.328) Data 0.000 (0.001) Loss 1.8315 (1.8043) Prec@1 65.625 (58.934) Prec@5 79.688 (80.792) Epoch: [39][5400/10010] Time 0.337 (0.328) Data 0.001 (0.001) Loss 1.8756 (1.8043) Prec@1 57.812 (58.934) Prec@5 77.344 (80.791) Epoch: [39][5410/10010] Time 0.322 (0.328) Data 0.001 (0.001) Loss 1.7501 (1.8042) Prec@1 60.938 (58.939) Prec@5 79.688 (80.794) Epoch: [39][5420/10010] Time 0.323 (0.328) Data 0.001 (0.001) Loss 1.9487 (1.8042) Prec@1 58.594 (58.943) Prec@5 78.906 (80.793) Epoch: [39][5430/10010] Time 0.331 (0.328) Data 0.000 (0.001) Loss 2.1407 (1.8043) Prec@1 53.125 (58.944) Prec@5 71.875 (80.789) Epoch: [39][5440/10010] Time 0.326 (0.328) Data 0.001 (0.001) Loss 1.7775 (1.8043) Prec@1 59.375 (58.948) Prec@5 78.906 (80.789) Epoch: [39][5450/10010] Time 0.331 (0.328) Data 0.000 (0.001) Loss 1.6193 (1.8043) Prec@1 60.156 (58.947) Prec@5 82.812 (80.788) Epoch: [39][5460/10010] Time 0.335 (0.328) Data 0.000 (0.001) Loss 1.9680 (1.8043) Prec@1 57.031 (58.948) Prec@5 77.344 (80.788) Epoch: [39][5470/10010] Time 0.316 (0.328) Data 0.001 (0.001) Loss 1.8908 (1.8044) Prec@1 57.031 (58.947) Prec@5 77.344 (80.786) Epoch: [39][5480/10010] Time 0.333 (0.328) Data 0.000 (0.001) Loss 1.8907 (1.8044) Prec@1 56.250 (58.948) Prec@5 78.906 (80.785) Epoch: [39][5490/10010] Time 0.336 (0.328) Data 0.001 (0.001) Loss 1.7844 (1.8044) Prec@1 60.938 (58.949) Prec@5 82.031 (80.785) Epoch: [39][5500/10010] Time 0.330 (0.328) Data 0.001 (0.001) Loss 1.6814 (1.8043) Prec@1 64.062 (58.949) Prec@5 83.594 (80.787) Epoch: [39][5510/10010] Time 0.342 (0.328) Data 0.000 (0.001) Loss 1.8067 (1.8044) Prec@1 53.125 (58.945) Prec@5 82.812 (80.785) Epoch: [39][5520/10010] Time 0.332 (0.328) Data 0.000 (0.001) Loss 2.0108 (1.8046) Prec@1 54.688 (58.944) Prec@5 75.000 (80.781) Epoch: [39][5530/10010] Time 0.336 (0.328) Data 0.001 (0.001) Loss 1.6856 (1.8045) Prec@1 64.062 (58.948) Prec@5 81.250 (80.780) Epoch: [39][5540/10010] Time 0.322 (0.328) Data 0.001 (0.001) Loss 1.9296 (1.8047) Prec@1 59.375 (58.946) Prec@5 78.125 (80.777) Epoch: [39][5550/10010] Time 0.313 (0.328) Data 0.001 (0.001) Loss 1.9524 (1.8046) Prec@1 53.125 (58.949) Prec@5 79.688 (80.778) Epoch: [39][5560/10010] Time 0.324 (0.328) Data 0.001 (0.001) Loss 1.9527 (1.8047) Prec@1 57.812 (58.946) Prec@5 79.688 (80.776) Epoch: [39][5570/10010] Time 0.334 (0.328) Data 0.001 (0.001) Loss 1.9463 (1.8049) Prec@1 56.250 (58.945) Prec@5 77.344 (80.774) Epoch: [39][5580/10010] Time 0.317 (0.328) Data 0.000 (0.001) Loss 2.1770 (1.8050) Prec@1 50.781 (58.942) Prec@5 79.688 (80.772) Epoch: [39][5590/10010] Time 0.334 (0.328) Data 0.000 (0.001) Loss 1.7613 (1.8049) Prec@1 58.594 (58.941) Prec@5 83.594 (80.774) Epoch: [39][5600/10010] Time 0.327 (0.328) Data 0.001 (0.001) Loss 1.9661 (1.8050) Prec@1 56.250 (58.937) Prec@5 76.562 (80.771) Epoch: [39][5610/10010] Time 0.329 (0.328) Data 0.001 (0.001) Loss 1.6335 (1.8050) Prec@1 64.844 (58.936) Prec@5 81.250 (80.771) Epoch: [39][5620/10010] Time 0.337 (0.328) Data 0.000 (0.001) Loss 1.5492 (1.8048) Prec@1 64.062 (58.941) Prec@5 82.812 (80.775) Epoch: [39][5630/10010] Time 0.337 (0.328) Data 0.001 (0.001) Loss 1.7785 (1.8048) Prec@1 58.594 (58.943) Prec@5 80.469 (80.775) Epoch: [39][5640/10010] Time 0.341 (0.328) Data 0.000 (0.001) Loss 1.9255 (1.8048) Prec@1 56.250 (58.942) Prec@5 81.250 (80.776) Epoch: [39][5650/10010] Time 0.321 (0.328) Data 0.001 (0.001) Loss 1.6051 (1.8046) Prec@1 63.281 (58.942) Prec@5 84.375 (80.778) Epoch: [39][5660/10010] Time 0.321 (0.328) Data 0.001 (0.001) Loss 1.8951 (1.8048) Prec@1 57.812 (58.941) Prec@5 76.562 (80.776) Epoch: [39][5670/10010] Time 0.324 (0.328) Data 0.001 (0.001) Loss 1.6373 (1.8048) Prec@1 61.719 (58.942) Prec@5 85.156 (80.775) Epoch: [39][5680/10010] Time 0.316 (0.328) Data 0.001 (0.001) Loss 1.6788 (1.8049) Prec@1 57.031 (58.939) Prec@5 84.375 (80.775) Epoch: [39][5690/10010] Time 0.316 (0.328) Data 0.000 (0.001) Loss 1.4331 (1.8049) Prec@1 66.406 (58.941) Prec@5 84.375 (80.775) Epoch: [39][5700/10010] Time 0.334 (0.328) Data 0.001 (0.001) Loss 1.5568 (1.8049) Prec@1 67.188 (58.942) Prec@5 82.812 (80.775) Epoch: [39][5710/10010] Time 0.341 (0.328) Data 0.001 (0.001) Loss 1.4928 (1.8049) Prec@1 63.281 (58.943) Prec@5 85.156 (80.774) /data/vision/torralba/deepscene/lib/anaconda2/lib/python2.7/site-packages/PIL/TiffImagePlugin.py:692: UserWarning: Possibly corrupt EXIF data. Expecting to read 2555904 bytes but only got 0. Skipping tag 0 "Skipping tag %s" % (size, len(data), tag)) Epoch: [39][5720/10010] Time 0.327 (0.328) Data 0.001 (0.001) Loss 1.7844 (1.8050) Prec@1 60.156 (58.942) Prec@5 85.156 (80.773) Epoch: [39][5730/10010] Time 0.320 (0.328) Data 0.001 (0.001) Loss 2.0533 (1.8051) Prec@1 51.562 (58.940) Prec@5 78.125 (80.772) Epoch: [39][5740/10010] Time 0.340 (0.328) Data 0.000 (0.001) Loss 1.9799 (1.8051) Prec@1 54.688 (58.939) Prec@5 77.344 (80.770) Epoch: [39][5750/10010] Time 0.324 (0.328) Data 0.001 (0.001) Loss 1.7924 (1.8051) Prec@1 51.562 (58.936) Prec@5 75.000 (80.768) Epoch: [39][5760/10010] Time 0.315 (0.328) Data 0.001 (0.001) Loss 1.9960 (1.8050) Prec@1 55.469 (58.938) Prec@5 75.000 (80.769) Epoch: [39][5770/10010] Time 0.337 (0.328) Data 0.001 (0.001) Loss 1.4987 (1.8050) Prec@1 65.625 (58.939) Prec@5 85.938 (80.771) Epoch: [39][5780/10010] Time 0.324 (0.328) Data 0.000 (0.001) Loss 1.9053 (1.8050) Prec@1 58.594 (58.941) Prec@5 78.906 (80.773) Epoch: [39][5790/10010] Time 0.336 (0.328) Data 0.001 (0.001) Loss 1.6345 (1.8049) Prec@1 61.719 (58.941) Prec@5 84.375 (80.773) Epoch: [39][5800/10010] Time 0.338 (0.328) Data 0.001 (0.001) Loss 1.7750 (1.8048) Prec@1 55.469 (58.941) Prec@5 77.344 (80.775) Epoch: [39][5810/10010] Time 0.313 (0.328) Data 0.001 (0.001) Loss 1.6837 (1.8048) Prec@1 57.812 (58.941) Prec@5 82.031 (80.776) Epoch: [39][5820/10010] Time 0.320 (0.328) Data 0.001 (0.001) Loss 2.0085 (1.8047) Prec@1 54.688 (58.944) Prec@5 75.000 (80.778) Epoch: [39][5830/10010] Time 0.334 (0.328) Data 0.001 (0.001) Loss 2.0966 (1.8047) Prec@1 50.000 (58.942) Prec@5 78.125 (80.778) Epoch: [39][5840/10010] Time 0.325 (0.328) Data 0.000 (0.001) Loss 1.5854 (1.8048) Prec@1 59.375 (58.937) Prec@5 86.719 (80.778) Epoch: [39][5850/10010] Time 0.311 (0.328) Data 0.000 (0.001) Loss 1.6996 (1.8049) Prec@1 65.625 (58.938) Prec@5 78.125 (80.777) Epoch: [39][5860/10010] Time 0.342 (0.328) Data 0.000 (0.001) Loss 1.9305 (1.8050) Prec@1 56.250 (58.936) Prec@5 79.688 (80.775) Epoch: [39][5870/10010] Time 0.318 (0.328) Data 0.001 (0.001) Loss 1.5241 (1.8049) Prec@1 62.500 (58.935) Prec@5 86.719 (80.777) Epoch: [39][5880/10010] Time 0.328 (0.328) Data 0.000 (0.001) Loss 1.9891 (1.8050) Prec@1 53.906 (58.933) Prec@5 78.906 (80.776) Epoch: [39][5890/10010] Time 0.329 (0.328) Data 0.001 (0.001) Loss 1.8999 (1.8050) Prec@1 60.938 (58.933) Prec@5 78.906 (80.776) Epoch: [39][5900/10010] Time 0.325 (0.328) Data 0.001 (0.001) Loss 1.9080 (1.8049) Prec@1 59.375 (58.934) Prec@5 81.250 (80.776) Epoch: [39][5910/10010] Time 0.330 (0.328) Data 0.001 (0.001) Loss 1.7378 (1.8051) Prec@1 60.938 (58.932) Prec@5 76.562 (80.774) Epoch: [39][5920/10010] Time 0.333 (0.328) Data 0.001 (0.001) Loss 2.0523 (1.8052) Prec@1 53.125 (58.928) Prec@5 74.219 (80.772) Epoch: [39][5930/10010] Time 0.331 (0.328) Data 0.001 (0.001) Loss 1.7534 (1.8053) Prec@1 53.125 (58.927) Prec@5 81.250 (80.771) Epoch: [39][5940/10010] Time 0.314 (0.327) Data 0.000 (0.001) Loss 2.1005 (1.8054) Prec@1 50.000 (58.925) Prec@5 75.781 (80.770) Epoch: [39][5950/10010] Time 0.343 (0.327) Data 0.001 (0.001) Loss 1.8326 (1.8055) Prec@1 58.594 (58.924) Prec@5 79.688 (80.768) Epoch: [39][5960/10010] Time 0.330 (0.327) Data 0.001 (0.001) Loss 1.9057 (1.8055) Prec@1 55.469 (58.923) Prec@5 78.125 (80.767) Epoch: [39][5970/10010] Time 0.323 (0.327) Data 0.001 (0.001) Loss 1.7893 (1.8055) Prec@1 50.781 (58.921) Prec@5 85.156 (80.766) Epoch: [39][5980/10010] Time 0.327 (0.327) Data 0.001 (0.001) Loss 2.1436 (1.8057) Prec@1 51.562 (58.917) Prec@5 74.219 (80.764) Epoch: [39][5990/10010] Time 0.319 (0.327) Data 0.001 (0.001) Loss 1.5934 (1.8055) Prec@1 58.594 (58.917) Prec@5 87.500 (80.767) Epoch: [39][6000/10010] Time 0.319 (0.327) Data 0.001 (0.001) Loss 1.7830 (1.8056) Prec@1 56.250 (58.916) Prec@5 78.906 (80.766) Epoch: [39][6010/10010] Time 0.334 (0.327) Data 0.001 (0.001) Loss 1.8904 (1.8056) Prec@1 55.469 (58.915) Prec@5 74.219 (80.765) Epoch: [39][6020/10010] Time 0.326 (0.328) Data 0.001 (0.001) Loss 1.9637 (1.8057) Prec@1 53.125 (58.911) Prec@5 79.688 (80.763) Epoch: [39][6030/10010] Time 0.325 (0.328) Data 0.001 (0.001) Loss 1.9222 (1.8057) Prec@1 57.031 (58.909) Prec@5 78.125 (80.762) Epoch: [39][6040/10010] Time 0.312 (0.327) Data 0.001 (0.001) Loss 1.6744 (1.8058) Prec@1 56.250 (58.909) Prec@5 81.250 (80.759) Epoch: [39][6050/10010] Time 0.322 (0.327) Data 0.000 (0.001) Loss 1.8227 (1.8059) Prec@1 61.719 (58.908) Prec@5 79.688 (80.759) Epoch: [39][6060/10010] Time 0.338 (0.327) Data 0.001 (0.001) Loss 1.7174 (1.8060) Prec@1 53.906 (58.904) Prec@5 85.938 (80.756) Epoch: [39][6070/10010] Time 0.322 (0.327) Data 0.000 (0.001) Loss 1.7515 (1.8060) Prec@1 59.375 (58.903) Prec@5 82.031 (80.754) Epoch: [39][6080/10010] Time 0.340 (0.327) Data 0.000 (0.001) Loss 1.4813 (1.8061) Prec@1 68.750 (58.899) Prec@5 85.156 (80.753) Epoch: [39][6090/10010] Time 0.320 (0.327) Data 0.001 (0.001) Loss 1.9876 (1.8061) Prec@1 58.594 (58.900) Prec@5 78.125 (80.753) Epoch: [39][6100/10010] Time 0.324 (0.327) Data 0.001 (0.001) Loss 1.7594 (1.8061) Prec@1 59.375 (58.900) Prec@5 78.125 (80.754) Epoch: [39][6110/10010] Time 0.317 (0.327) Data 0.001 (0.001) Loss 1.6120 (1.8062) Prec@1 66.406 (58.898) Prec@5 85.156 (80.753) Epoch: [39][6120/10010] Time 0.337 (0.327) Data 0.001 (0.001) Loss 1.9154 (1.8063) Prec@1 63.281 (58.897) Prec@5 75.781 (80.751) Epoch: [39][6130/10010] Time 0.338 (0.327) Data 0.001 (0.001) Loss 2.0312 (1.8064) Prec@1 56.250 (58.895) Prec@5 76.562 (80.749) Epoch: [39][6140/10010] Time 0.335 (0.327) Data 0.000 (0.001) Loss 1.7969 (1.8064) Prec@1 61.719 (58.895) Prec@5 80.469 (80.749) Epoch: [39][6150/10010] Time 0.319 (0.327) Data 0.001 (0.001) Loss 1.8999 (1.8064) Prec@1 60.156 (58.897) Prec@5 82.031 (80.750) /data/vision/torralba/deepscene/lib/anaconda2/lib/python2.7/site-packages/PIL/TiffImagePlugin.py:692: UserWarning: Possibly corrupt EXIF data. Expecting to read 2555904 bytes but only got 0. Skipping tag 0 "Skipping tag %s" % (size, len(data), tag)) Epoch: [39][6160/10010] Time 0.335 (0.327) Data 0.001 (0.001) Loss 1.8656 (1.8064) Prec@1 57.031 (58.896) Prec@5 78.906 (80.749) Epoch: [39][6170/10010] Time 0.321 (0.327) Data 0.000 (0.001) Loss 1.9786 (1.8064) Prec@1 55.469 (58.896) Prec@5 75.781 (80.748) Epoch: [39][6180/10010] Time 0.323 (0.327) Data 0.001 (0.001) Loss 1.7166 (1.8064) Prec@1 58.594 (58.896) Prec@5 81.250 (80.748) Epoch: [39][6190/10010] Time 0.339 (0.327) Data 0.001 (0.001) Loss 1.5201 (1.8065) Prec@1 66.406 (58.896) Prec@5 83.594 (80.745) Epoch: [39][6200/10010] Time 0.327 (0.327) Data 0.001 (0.001) Loss 2.1027 (1.8067) Prec@1 50.000 (58.895) Prec@5 78.125 (80.743) Epoch: [39][6210/10010] Time 0.318 (0.327) Data 0.001 (0.001) Loss 2.3983 (1.8067) Prec@1 49.219 (58.895) Prec@5 74.219 (80.743) Epoch: [39][6220/10010] Time 0.340 (0.327) Data 0.000 (0.001) Loss 1.9095 (1.8067) Prec@1 57.812 (58.893) Prec@5 77.344 (80.742) Epoch: [39][6230/10010] Time 0.318 (0.328) Data 0.001 (0.001) Loss 2.1134 (1.8068) Prec@1 52.344 (58.891) Prec@5 74.219 (80.740) Epoch: [39][6240/10010] Time 0.334 (0.328) Data 0.001 (0.001) Loss 1.8123 (1.8068) Prec@1 59.375 (58.889) Prec@5 80.469 (80.740) Epoch: [39][6250/10010] Time 0.326 (0.328) Data 0.001 (0.001) Loss 1.4396 (1.8068) Prec@1 64.062 (58.890) Prec@5 90.625 (80.743) Epoch: [39][6260/10010] Time 0.329 (0.328) Data 0.001 (0.001) Loss 1.6810 (1.8067) Prec@1 60.938 (58.893) Prec@5 82.812 (80.742) Epoch: [39][6270/10010] Time 0.336 (0.328) Data 0.001 (0.001) Loss 1.8304 (1.8067) Prec@1 57.031 (58.892) Prec@5 82.031 (80.742) Epoch: [39][6280/10010] Time 0.312 (0.328) Data 0.001 (0.001) Loss 1.8450 (1.8067) Prec@1 54.688 (58.893) Prec@5 79.688 (80.741) Epoch: [39][6290/10010] Time 0.335 (0.328) Data 0.000 (0.001) Loss 1.9734 (1.8068) Prec@1 58.594 (58.891) Prec@5 78.906 (80.740) Epoch: [39][6300/10010] Time 0.319 (0.328) Data 0.001 (0.001) Loss 1.7101 (1.8071) Prec@1 62.500 (58.885) Prec@5 82.031 (80.736) Epoch: [39][6310/10010] Time 0.331 (0.328) Data 0.001 (0.001) Loss 1.6855 (1.8070) Prec@1 57.812 (58.884) Prec@5 79.688 (80.739) Epoch: [39][6320/10010] Time 0.321 (0.328) Data 0.000 (0.001) Loss 1.9039 (1.8070) Prec@1 54.688 (58.883) Prec@5 80.469 (80.738) Epoch: [39][6330/10010] Time 0.321 (0.328) Data 0.001 (0.001) Loss 1.7902 (1.8070) Prec@1 58.594 (58.885) Prec@5 80.469 (80.740) Epoch: [39][6340/10010] Time 0.333 (0.328) Data 0.001 (0.001) Loss 2.2257 (1.8070) Prec@1 52.344 (58.886) Prec@5 75.000 (80.740) Epoch: [39][6350/10010] Time 0.339 (0.328) Data 0.001 (0.001) Loss 1.9188 (1.8070) Prec@1 57.031 (58.886) Prec@5 79.688 (80.738) Epoch: [39][6360/10010] Time 0.318 (0.328) Data 0.000 (0.001) Loss 1.6894 (1.8071) Prec@1 62.500 (58.884) Prec@5 80.469 (80.736) Epoch: [39][6370/10010] Time 0.332 (0.328) Data 0.001 (0.001) Loss 2.0350 (1.8071) Prec@1 57.031 (58.886) Prec@5 82.812 (80.738) Epoch: [39][6380/10010] Time 0.339 (0.328) Data 0.000 (0.001) Loss 2.0041 (1.8071) Prec@1 57.812 (58.887) Prec@5 76.562 (80.737) Epoch: [39][6390/10010] Time 0.320 (0.328) Data 0.001 (0.001) Loss 1.9437 (1.8073) Prec@1 53.906 (58.882) Prec@5 80.469 (80.735) Epoch: [39][6400/10010] Time 0.339 (0.328) Data 0.001 (0.001) Loss 1.8574 (1.8074) Prec@1 52.344 (58.879) Prec@5 79.688 (80.733) Epoch: [39][6410/10010] Time 0.319 (0.328) Data 0.000 (0.001) Loss 1.4299 (1.8072) Prec@1 65.625 (58.883) Prec@5 86.719 (80.735) Epoch: [39][6420/10010] Time 0.338 (0.328) Data 0.001 (0.001) Loss 2.1261 (1.8073) Prec@1 52.344 (58.881) Prec@5 75.000 (80.733) Epoch: [39][6430/10010] Time 0.317 (0.328) Data 0.000 (0.001) Loss 1.6592 (1.8073) Prec@1 62.500 (58.880) Prec@5 84.375 (80.734) Epoch: [39][6440/10010] Time 0.333 (0.328) Data 0.001 (0.001) Loss 1.7659 (1.8074) Prec@1 57.812 (58.879) Prec@5 82.812 (80.734) Epoch: [39][6450/10010] Time 0.328 (0.328) Data 0.000 (0.001) Loss 1.8885 (1.8075) Prec@1 52.344 (58.875) Prec@5 78.906 (80.731) Epoch: [39][6460/10010] Time 0.318 (0.328) Data 0.001 (0.001) Loss 1.9559 (1.8077) Prec@1 57.812 (58.873) Prec@5 77.344 (80.729) Epoch: [39][6470/10010] Time 0.342 (0.328) Data 0.001 (0.001) Loss 1.8338 (1.8076) Prec@1 56.250 (58.875) Prec@5 81.250 (80.731) Epoch: [39][6480/10010] Time 0.318 (0.328) Data 0.000 (0.001) Loss 1.9649 (1.8076) Prec@1 60.156 (58.874) Prec@5 75.781 (80.731) Epoch: [39][6490/10010] Time 0.335 (0.328) Data 0.000 (0.001) Loss 1.8051 (1.8076) Prec@1 58.594 (58.874) Prec@5 80.469 (80.732) Epoch: [39][6500/10010] Time 0.333 (0.328) Data 0.000 (0.001) Loss 2.1226 (1.8077) Prec@1 54.688 (58.872) Prec@5 75.000 (80.730) Epoch: [39][6510/10010] Time 0.335 (0.328) Data 0.001 (0.001) Loss 1.6602 (1.8077) Prec@1 59.375 (58.872) Prec@5 84.375 (80.730) Epoch: [39][6520/10010] Time 0.312 (0.328) Data 0.001 (0.001) Loss 2.1460 (1.8078) Prec@1 50.781 (58.867) Prec@5 77.344 (80.729) Epoch: [39][6530/10010] Time 0.338 (0.328) Data 0.000 (0.001) Loss 1.7195 (1.8078) Prec@1 57.031 (58.867) Prec@5 78.906 (80.729) Epoch: [39][6540/10010] Time 0.343 (0.328) Data 0.000 (0.001) Loss 1.5448 (1.8077) Prec@1 64.844 (58.868) Prec@5 84.375 (80.731) Epoch: [39][6550/10010] Time 0.321 (0.328) Data 0.001 (0.001) Loss 1.9699 (1.8077) Prec@1 57.812 (58.866) Prec@5 75.000 (80.730) Epoch: [39][6560/10010] Time 0.314 (0.328) Data 0.001 (0.001) Loss 2.1030 (1.8079) Prec@1 55.469 (58.861) Prec@5 74.219 (80.727) Epoch: [39][6570/10010] Time 0.333 (0.328) Data 0.000 (0.001) Loss 1.6869 (1.8079) Prec@1 58.594 (58.863) Prec@5 84.375 (80.726) Epoch: [39][6580/10010] Time 0.338 (0.328) Data 0.000 (0.001) Loss 2.2098 (1.8081) Prec@1 60.938 (58.860) Prec@5 77.344 (80.723) Epoch: [39][6590/10010] Time 0.321 (0.328) Data 0.000 (0.001) Loss 1.8723 (1.8081) Prec@1 56.250 (58.857) Prec@5 78.125 (80.722) Epoch: [39][6600/10010] Time 0.320 (0.328) Data 0.001 (0.001) Loss 1.7912 (1.8082) Prec@1 62.500 (58.856) Prec@5 79.688 (80.721) Epoch: [39][6610/10010] Time 0.319 (0.328) Data 0.001 (0.001) Loss 1.7976 (1.8081) Prec@1 54.688 (58.860) Prec@5 80.469 (80.721) Epoch: [39][6620/10010] Time 0.329 (0.328) Data 0.000 (0.001) Loss 1.4972 (1.8080) Prec@1 65.625 (58.862) Prec@5 82.031 (80.720) Epoch: [39][6630/10010] Time 0.318 (0.328) Data 0.001 (0.001) Loss 2.1819 (1.8080) Prec@1 50.781 (58.861) Prec@5 76.562 (80.720) Epoch: [39][6640/10010] Time 0.315 (0.328) Data 0.000 (0.001) Loss 1.9192 (1.8080) Prec@1 57.812 (58.862) Prec@5 79.688 (80.721) Epoch: [39][6650/10010] Time 0.325 (0.328) Data 0.001 (0.001) Loss 1.7109 (1.8081) Prec@1 58.594 (58.860) Prec@5 82.031 (80.719) Epoch: [39][6660/10010] Time 0.330 (0.328) Data 0.001 (0.001) Loss 1.6138 (1.8082) Prec@1 61.719 (58.859) Prec@5 82.812 (80.719) Epoch: [39][6670/10010] Time 0.336 (0.328) Data 0.001 (0.001) Loss 1.6593 (1.8082) Prec@1 60.938 (58.857) Prec@5 85.938 (80.720) Epoch: [39][6680/10010] Time 0.319 (0.328) Data 0.001 (0.001) Loss 1.3974 (1.8081) Prec@1 63.281 (58.860) Prec@5 89.844 (80.721) Epoch: [39][6690/10010] Time 0.331 (0.328) Data 0.000 (0.001) Loss 1.9665 (1.8080) Prec@1 54.688 (58.860) Prec@5 76.562 (80.723) Epoch: [39][6700/10010] Time 0.338 (0.328) Data 0.001 (0.001) Loss 1.7701 (1.8081) Prec@1 59.375 (58.860) Prec@5 85.156 (80.719) Epoch: [39][6710/10010] Time 0.325 (0.328) Data 0.001 (0.001) Loss 1.7742 (1.8082) Prec@1 53.125 (58.856) Prec@5 81.250 (80.719) Epoch: [39][6720/10010] Time 0.327 (0.328) Data 0.000 (0.001) Loss 1.7873 (1.8081) Prec@1 57.031 (58.857) Prec@5 81.250 (80.722) Epoch: [39][6730/10010] Time 0.327 (0.328) Data 0.001 (0.001) Loss 1.9583 (1.8081) Prec@1 54.688 (58.856) Prec@5 79.688 (80.723) Epoch: [39][6740/10010] Time 0.327 (0.328) Data 0.000 (0.001) Loss 1.3761 (1.8080) Prec@1 68.750 (58.859) Prec@5 86.719 (80.725) Epoch: [39][6750/10010] Time 0.337 (0.327) Data 0.000 (0.001) Loss 2.0578 (1.8080) Prec@1 56.250 (58.859) Prec@5 74.219 (80.724) Epoch: [39][6760/10010] Time 0.324 (0.327) Data 0.001 (0.001) Loss 1.9235 (1.8082) Prec@1 60.156 (58.855) Prec@5 81.250 (80.721) Epoch: [39][6770/10010] Time 0.327 (0.327) Data 0.001 (0.001) Loss 1.6208 (1.8082) Prec@1 64.844 (58.855) Prec@5 82.031 (80.722) Epoch: [39][6780/10010] Time 0.325 (0.327) Data 0.001 (0.001) Loss 1.7470 (1.8082) Prec@1 56.250 (58.851) Prec@5 85.156 (80.721) Epoch: [39][6790/10010] Time 0.320 (0.327) Data 0.001 (0.001) Loss 1.8924 (1.8083) Prec@1 61.719 (58.850) Prec@5 78.906 (80.720) Epoch: [39][6800/10010] Time 0.311 (0.327) Data 0.001 (0.001) Loss 1.9811 (1.8085) Prec@1 58.594 (58.847) Prec@5 79.688 (80.717) Epoch: [39][6810/10010] Time 0.330 (0.327) Data 0.001 (0.001) Loss 1.8322 (1.8087) Prec@1 56.250 (58.842) Prec@5 79.688 (80.714) Epoch: [39][6820/10010] Time 0.340 (0.327) Data 0.001 (0.001) Loss 1.8256 (1.8088) Prec@1 55.469 (58.840) Prec@5 84.375 (80.712) Epoch: [39][6830/10010] Time 0.317 (0.327) Data 0.000 (0.001) Loss 1.7670 (1.8088) Prec@1 59.375 (58.839) Prec@5 81.250 (80.713) Epoch: [39][6840/10010] Time 0.318 (0.327) Data 0.001 (0.001) Loss 1.9584 (1.8089) Prec@1 54.688 (58.838) Prec@5 79.688 (80.711) Epoch: [39][6850/10010] Time 0.316 (0.327) Data 0.001 (0.001) Loss 2.3452 (1.8089) Prec@1 51.562 (58.838) Prec@5 71.875 (80.711) Epoch: [39][6860/10010] Time 0.315 (0.327) Data 0.000 (0.001) Loss 1.7433 (1.8088) Prec@1 53.125 (58.840) Prec@5 83.594 (80.713) Epoch: [39][6870/10010] Time 0.322 (0.327) Data 0.001 (0.001) Loss 1.9835 (1.8090) Prec@1 59.375 (58.839) Prec@5 77.344 (80.710) Epoch: [39][6880/10010] Time 0.321 (0.327) Data 0.001 (0.001) Loss 2.1119 (1.8091) Prec@1 55.469 (58.838) Prec@5 76.562 (80.709) Epoch: [39][6890/10010] Time 0.336 (0.327) Data 0.001 (0.001) Loss 1.7380 (1.8090) Prec@1 58.594 (58.839) Prec@5 82.812 (80.709) Epoch: [39][6900/10010] Time 0.334 (0.327) Data 0.000 (0.001) Loss 1.7090 (1.8090) Prec@1 61.719 (58.837) Prec@5 80.469 (80.710) Epoch: [39][6910/10010] Time 0.320 (0.327) Data 0.000 (0.001) Loss 1.6802 (1.8091) Prec@1 60.938 (58.839) Prec@5 84.375 (80.708) Epoch: [39][6920/10010] Time 0.329 (0.327) Data 0.001 (0.001) Loss 1.7724 (1.8092) Prec@1 60.156 (58.838) Prec@5 83.594 (80.705) Epoch: [39][6930/10010] Time 0.319 (0.327) Data 0.001 (0.001) Loss 1.6255 (1.8091) Prec@1 63.281 (58.839) Prec@5 85.156 (80.708) Epoch: [39][6940/10010] Time 0.322 (0.327) Data 0.001 (0.001) Loss 2.0668 (1.8091) Prec@1 53.125 (58.839) Prec@5 74.219 (80.705) Epoch: [39][6950/10010] Time 0.325 (0.327) Data 0.000 (0.001) Loss 1.8361 (1.8092) Prec@1 60.938 (58.838) Prec@5 79.688 (80.703) Epoch: [39][6960/10010] Time 0.313 (0.327) Data 0.001 (0.001) Loss 1.6825 (1.8093) Prec@1 64.844 (58.839) Prec@5 82.031 (80.702) Epoch: [39][6970/10010] Time 0.334 (0.327) Data 0.001 (0.001) Loss 1.6281 (1.8093) Prec@1 58.594 (58.839) Prec@5 84.375 (80.702) Epoch: [39][6980/10010] Time 0.335 (0.327) Data 0.001 (0.001) Loss 1.7717 (1.8093) Prec@1 57.031 (58.834) Prec@5 79.688 (80.700) Epoch: [39][6990/10010] Time 0.320 (0.327) Data 0.000 (0.001) Loss 1.9214 (1.8093) Prec@1 57.812 (58.837) Prec@5 78.906 (80.701) Epoch: [39][7000/10010] Time 0.330 (0.327) Data 0.000 (0.001) Loss 1.9134 (1.8093) Prec@1 57.031 (58.836) Prec@5 76.562 (80.701) Epoch: [39][7010/10010] Time 0.320 (0.327) Data 0.001 (0.001) Loss 1.6239 (1.8093) Prec@1 63.281 (58.835) Prec@5 81.250 (80.702) Epoch: [39][7020/10010] Time 0.321 (0.327) Data 0.001 (0.001) Loss 1.7587 (1.8093) Prec@1 53.125 (58.834) Prec@5 82.031 (80.702) Epoch: [39][7030/10010] Time 0.323 (0.327) Data 0.001 (0.001) Loss 1.8488 (1.8093) Prec@1 54.688 (58.833) Prec@5 82.031 (80.703) Epoch: [39][7040/10010] Time 0.322 (0.327) Data 0.001 (0.001) Loss 1.8702 (1.8093) Prec@1 57.812 (58.833) Prec@5 79.688 (80.704) Epoch: [39][7050/10010] Time 0.333 (0.327) Data 0.001 (0.001) Loss 2.2366 (1.8094) Prec@1 49.219 (58.830) Prec@5 75.000 (80.703) Epoch: [39][7060/10010] Time 0.317 (0.327) Data 0.001 (0.001) Loss 2.0220 (1.8095) Prec@1 56.250 (58.828) Prec@5 76.562 (80.701) Epoch: [39][7070/10010] Time 0.319 (0.327) Data 0.001 (0.001) Loss 1.9107 (1.8094) Prec@1 55.469 (58.829) Prec@5 80.469 (80.701) Epoch: [39][7080/10010] Time 0.320 (0.327) Data 0.001 (0.001) Loss 1.6014 (1.8094) Prec@1 60.938 (58.829) Prec@5 84.375 (80.704) Epoch: [39][7090/10010] Time 0.322 (0.327) Data 0.001 (0.001) Loss 2.0096 (1.8093) Prec@1 56.250 (58.833) Prec@5 77.344 (80.705) Epoch: [39][7100/10010] Time 0.337 (0.327) Data 0.001 (0.001) Loss 2.1389 (1.8093) Prec@1 61.719 (58.834) Prec@5 75.000 (80.704) Epoch: [39][7110/10010] Time 0.343 (0.327) Data 0.001 (0.001) Loss 1.8929 (1.8093) Prec@1 55.469 (58.834) Prec@5 81.250 (80.705) Epoch: [39][7120/10010] Time 0.330 (0.327) Data 0.001 (0.001) Loss 1.9411 (1.8093) Prec@1 56.250 (58.834) Prec@5 78.906 (80.706) Epoch: [39][7130/10010] Time 0.322 (0.327) Data 0.001 (0.001) Loss 1.4760 (1.8092) Prec@1 63.281 (58.833) Prec@5 87.500 (80.707) Epoch: [39][7140/10010] Time 0.329 (0.327) Data 0.001 (0.001) Loss 1.6350 (1.8093) Prec@1 64.844 (58.832) Prec@5 83.594 (80.708) Epoch: [39][7150/10010] Time 0.321 (0.327) Data 0.001 (0.001) Loss 1.8940 (1.8094) Prec@1 60.938 (58.830) Prec@5 78.906 (80.706) Epoch: [39][7160/10010] Time 0.339 (0.327) Data 0.001 (0.001) Loss 1.7869 (1.8093) Prec@1 59.375 (58.833) Prec@5 81.250 (80.707) Epoch: [39][7170/10010] Time 0.323 (0.327) Data 0.001 (0.001) Loss 1.6976 (1.8093) Prec@1 51.562 (58.832) Prec@5 86.719 (80.708) Epoch: [39][7180/10010] Time 0.331 (0.327) Data 0.001 (0.001) Loss 1.9138 (1.8093) Prec@1 57.812 (58.832) Prec@5 77.344 (80.708) Epoch: [39][7190/10010] Time 0.317 (0.327) Data 0.001 (0.001) Loss 1.7337 (1.8093) Prec@1 60.156 (58.834) Prec@5 80.469 (80.709) Epoch: [39][7200/10010] Time 0.315 (0.327) Data 0.001 (0.001) Loss 1.8927 (1.8094) Prec@1 57.812 (58.833) Prec@5 78.906 (80.707) Epoch: [39][7210/10010] Time 0.324 (0.327) Data 0.001 (0.001) Loss 1.9183 (1.8095) Prec@1 57.031 (58.832) Prec@5 78.906 (80.704) Epoch: [39][7220/10010] Time 0.323 (0.327) Data 0.001 (0.001) Loss 1.9622 (1.8096) Prec@1 60.156 (58.832) Prec@5 78.906 (80.703) Epoch: [39][7230/10010] Time 0.333 (0.327) Data 0.001 (0.001) Loss 1.9097 (1.8096) Prec@1 54.688 (58.832) Prec@5 82.031 (80.704) Epoch: [39][7240/10010] Time 0.338 (0.327) Data 0.001 (0.001) Loss 1.7196 (1.8096) Prec@1 61.719 (58.833) Prec@5 82.812 (80.704) Epoch: [39][7250/10010] Time 0.340 (0.327) Data 0.001 (0.001) Loss 2.0668 (1.8096) Prec@1 53.906 (58.831) Prec@5 76.562 (80.702) Epoch: [39][7260/10010] Time 0.335 (0.327) Data 0.001 (0.001) Loss 1.7781 (1.8097) Prec@1 58.594 (58.829) Prec@5 79.688 (80.702) Epoch: [39][7270/10010] Time 0.319 (0.327) Data 0.001 (0.001) Loss 2.0172 (1.8098) Prec@1 57.812 (58.826) Prec@5 79.688 (80.702) Epoch: [39][7280/10010] Time 0.319 (0.327) Data 0.001 (0.001) Loss 1.7753 (1.8098) Prec@1 55.469 (58.825) Prec@5 78.906 (80.702) Epoch: [39][7290/10010] Time 0.320 (0.327) Data 0.000 (0.001) Loss 2.1838 (1.8098) Prec@1 57.812 (58.826) Prec@5 77.344 (80.701) Epoch: [39][7300/10010] Time 0.337 (0.327) Data 0.000 (0.001) Loss 1.4506 (1.8099) Prec@1 67.969 (58.827) Prec@5 85.938 (80.699) Epoch: [39][7310/10010] Time 0.340 (0.327) Data 0.000 (0.001) Loss 1.7067 (1.8098) Prec@1 61.719 (58.828) Prec@5 82.031 (80.699) Epoch: [39][7320/10010] Time 0.315 (0.327) Data 0.001 (0.001) Loss 1.4393 (1.8098) Prec@1 65.625 (58.828) Prec@5 82.812 (80.697) Epoch: [39][7330/10010] Time 0.329 (0.327) Data 0.001 (0.001) Loss 1.8794 (1.8098) Prec@1 57.031 (58.826) Prec@5 81.250 (80.697) Epoch: [39][7340/10010] Time 0.340 (0.327) Data 0.001 (0.001) Loss 1.7150 (1.8099) Prec@1 59.375 (58.826) Prec@5 83.594 (80.695) Epoch: [39][7350/10010] Time 0.317 (0.327) Data 0.001 (0.001) Loss 1.7886 (1.8099) Prec@1 62.500 (58.826) Prec@5 84.375 (80.695) Epoch: [39][7360/10010] Time 0.332 (0.327) Data 0.001 (0.001) Loss 1.8346 (1.8100) Prec@1 63.281 (58.824) Prec@5 78.906 (80.692) Epoch: [39][7370/10010] Time 0.335 (0.327) Data 0.001 (0.001) Loss 1.6427 (1.8100) Prec@1 60.938 (58.823) Prec@5 85.156 (80.692) Epoch: [39][7380/10010] Time 0.315 (0.327) Data 0.001 (0.001) Loss 1.9337 (1.8101) Prec@1 62.500 (58.823) Prec@5 81.250 (80.690) Epoch: [39][7390/10010] Time 0.333 (0.327) Data 0.000 (0.001) Loss 1.7679 (1.8101) Prec@1 62.500 (58.822) Prec@5 80.469 (80.691) Epoch: [39][7400/10010] Time 0.322 (0.327) Data 0.001 (0.001) Loss 1.9566 (1.8100) Prec@1 56.250 (58.823) Prec@5 78.906 (80.693) Epoch: [39][7410/10010] Time 0.332 (0.327) Data 0.000 (0.001) Loss 1.6074 (1.8099) Prec@1 60.156 (58.824) Prec@5 83.594 (80.694) Epoch: [39][7420/10010] Time 0.341 (0.327) Data 0.000 (0.001) Loss 1.6813 (1.8100) Prec@1 62.500 (58.824) Prec@5 82.812 (80.693) Epoch: [39][7430/10010] Time 0.336 (0.327) Data 0.001 (0.001) Loss 1.4951 (1.8099) Prec@1 64.062 (58.824) Prec@5 84.375 (80.694) Epoch: [39][7440/10010] Time 0.320 (0.327) Data 0.001 (0.001) Loss 1.5484 (1.8098) Prec@1 67.969 (58.827) Prec@5 84.375 (80.694) Epoch: [39][7450/10010] Time 0.330 (0.327) Data 0.001 (0.001) Loss 2.4032 (1.8100) Prec@1 50.000 (58.823) Prec@5 71.875 (80.692) Epoch: [39][7460/10010] Time 0.334 (0.327) Data 0.001 (0.001) Loss 1.6851 (1.8101) Prec@1 60.938 (58.822) Prec@5 83.594 (80.693) Epoch: [39][7470/10010] Time 0.331 (0.327) Data 0.001 (0.001) Loss 1.2649 (1.8100) Prec@1 70.312 (58.820) Prec@5 86.719 (80.692) Epoch: [39][7480/10010] Time 0.346 (0.327) Data 0.001 (0.001) Loss 1.9343 (1.8100) Prec@1 51.562 (58.818) Prec@5 78.906 (80.694) Epoch: [39][7490/10010] Time 0.318 (0.327) Data 0.001 (0.001) Loss 1.9255 (1.8101) Prec@1 53.906 (58.818) Prec@5 75.781 (80.693) Epoch: [39][7500/10010] Time 0.318 (0.327) Data 0.001 (0.001) Loss 1.6500 (1.8101) Prec@1 57.812 (58.817) Prec@5 84.375 (80.693) Epoch: [39][7510/10010] Time 0.312 (0.327) Data 0.001 (0.001) Loss 1.8494 (1.8101) Prec@1 55.469 (58.817) Prec@5 79.688 (80.694) Epoch: [39][7520/10010] Time 0.340 (0.327) Data 0.000 (0.001) Loss 1.7764 (1.8101) Prec@1 63.281 (58.818) Prec@5 81.250 (80.694) Epoch: [39][7530/10010] Time 0.330 (0.327) Data 0.001 (0.001) Loss 1.6106 (1.8100) Prec@1 54.688 (58.817) Prec@5 86.719 (80.696) Epoch: [39][7540/10010] Time 0.319 (0.327) Data 0.001 (0.001) Loss 1.7418 (1.8099) Prec@1 60.938 (58.819) Prec@5 82.812 (80.697) Epoch: [39][7550/10010] Time 0.317 (0.327) Data 0.001 (0.001) Loss 2.0337 (1.8100) Prec@1 58.594 (58.818) Prec@5 78.125 (80.695) Epoch: [39][7560/10010] Time 0.320 (0.327) Data 0.001 (0.001) Loss 1.5932 (1.8100) Prec@1 67.188 (58.818) Prec@5 82.812 (80.693) Epoch: [39][7570/10010] Time 0.318 (0.327) Data 0.001 (0.001) Loss 2.1371 (1.8100) Prec@1 50.000 (58.818) Prec@5 74.219 (80.693) Epoch: [39][7580/10010] Time 0.341 (0.327) Data 0.000 (0.001) Loss 1.8657 (1.8101) Prec@1 60.938 (58.815) Prec@5 83.594 (80.693) Epoch: [39][7590/10010] Time 0.332 (0.327) Data 0.001 (0.001) Loss 1.9131 (1.8102) Prec@1 55.469 (58.816) Prec@5 80.469 (80.692) Epoch: [39][7600/10010] Time 0.335 (0.327) Data 0.001 (0.001) Loss 2.0508 (1.8103) Prec@1 51.562 (58.812) Prec@5 78.906 (80.690) Epoch: [39][7610/10010] Time 0.327 (0.327) Data 0.001 (0.001) Loss 1.7428 (1.8104) Prec@1 59.375 (58.812) Prec@5 85.156 (80.691) Epoch: [39][7620/10010] Time 0.329 (0.327) Data 0.001 (0.001) Loss 2.0164 (1.8104) Prec@1 54.688 (58.810) Prec@5 78.125 (80.690) Epoch: [39][7630/10010] Time 0.319 (0.327) Data 0.001 (0.001) Loss 1.8453 (1.8104) Prec@1 53.906 (58.811) Prec@5 79.688 (80.690) Epoch: [39][7640/10010] Time 0.327 (0.327) Data 0.001 (0.001) Loss 1.3545 (1.8103) Prec@1 67.969 (58.813) Prec@5 86.719 (80.694) Epoch: [39][7650/10010] Time 0.317 (0.327) Data 0.001 (0.001) Loss 1.7795 (1.8104) Prec@1 56.250 (58.809) Prec@5 84.375 (80.694) Epoch: [39][7660/10010] Time 0.333 (0.327) Data 0.001 (0.001) Loss 1.7829 (1.8105) Prec@1 55.469 (58.808) Prec@5 81.250 (80.695) Epoch: [39][7670/10010] Time 0.316 (0.327) Data 0.001 (0.001) Loss 1.8388 (1.8104) Prec@1 60.156 (58.808) Prec@5 81.250 (80.697) Epoch: [39][7680/10010] Time 0.334 (0.327) Data 0.001 (0.001) Loss 1.5624 (1.8103) Prec@1 64.844 (58.810) Prec@5 85.938 (80.699) Epoch: [39][7690/10010] Time 0.336 (0.327) Data 0.001 (0.001) Loss 1.4539 (1.8103) Prec@1 64.844 (58.813) Prec@5 88.281 (80.701) Epoch: [39][7700/10010] Time 0.332 (0.327) Data 0.000 (0.001) Loss 1.8966 (1.8103) Prec@1 61.719 (58.813) Prec@5 78.906 (80.703) Epoch: [39][7710/10010] Time 0.321 (0.327) Data 0.001 (0.001) Loss 1.9922 (1.8103) Prec@1 53.906 (58.815) Prec@5 75.781 (80.701) Epoch: [39][7720/10010] Time 0.329 (0.327) Data 0.001 (0.001) Loss 2.0282 (1.8104) Prec@1 60.938 (58.815) Prec@5 77.344 (80.698) Epoch: [39][7730/10010] Time 0.319 (0.327) Data 0.001 (0.001) Loss 1.4942 (1.8104) Prec@1 62.500 (58.815) Prec@5 85.938 (80.698) Epoch: [39][7740/10010] Time 0.316 (0.327) Data 0.001 (0.001) Loss 1.9620 (1.8104) Prec@1 56.250 (58.815) Prec@5 83.594 (80.699) /data/vision/torralba/deepscene/lib/anaconda2/lib/python2.7/site-packages/PIL/TiffImagePlugin.py:692: UserWarning: Possibly corrupt EXIF data. Expecting to read 2555904 bytes but only got 0. Skipping tag 0 "Skipping tag %s" % (size, len(data), tag)) Epoch: [39][7750/10010] Time 0.340 (0.327) Data 0.001 (0.001) Loss 1.5670 (1.8104) Prec@1 65.625 (58.815) Prec@5 82.812 (80.699) Epoch: [39][7760/10010] Time 0.335 (0.327) Data 0.001 (0.001) Loss 1.9942 (1.8105) Prec@1 53.906 (58.815) Prec@5 76.562 (80.698) Epoch: [39][7770/10010] Time 0.315 (0.327) Data 0.001 (0.001) Loss 1.7092 (1.8104) Prec@1 60.156 (58.816) Prec@5 79.688 (80.699) Epoch: [39][7780/10010] Time 0.337 (0.327) Data 0.001 (0.001) Loss 1.6410 (1.8105) Prec@1 65.625 (58.815) Prec@5 80.469 (80.698) Epoch: [39][7790/10010] Time 0.335 (0.327) Data 0.001 (0.001) Loss 1.4896 (1.8104) Prec@1 63.281 (58.815) Prec@5 89.062 (80.699) Epoch: [39][7800/10010] Time 0.316 (0.327) Data 0.001 (0.001) Loss 1.7399 (1.8103) Prec@1 59.375 (58.816) Prec@5 82.031 (80.700) Epoch: [39][7810/10010] Time 0.339 (0.327) Data 0.000 (0.001) Loss 1.8672 (1.8103) Prec@1 57.031 (58.815) Prec@5 81.250 (80.700) Epoch: [39][7820/10010] Time 0.331 (0.327) Data 0.001 (0.001) Loss 1.9076 (1.8104) Prec@1 56.250 (58.817) Prec@5 76.562 (80.700) Epoch: [39][7830/10010] Time 0.338 (0.327) Data 0.001 (0.001) Loss 2.0838 (1.8105) Prec@1 57.812 (58.815) Prec@5 75.781 (80.701) Epoch: [39][7840/10010] Time 0.330 (0.327) Data 0.001 (0.001) Loss 2.1083 (1.8105) Prec@1 55.469 (58.815) Prec@5 75.781 (80.700) Epoch: [39][7850/10010] Time 0.320 (0.327) Data 0.001 (0.001) Loss 1.9502 (1.8105) Prec@1 54.688 (58.815) Prec@5 78.906 (80.700) Epoch: [39][7860/10010] Time 0.335 (0.327) Data 0.001 (0.001) Loss 1.9997 (1.8106) Prec@1 55.469 (58.813) Prec@5 81.250 (80.699) Epoch: [39][7870/10010] Time 0.320 (0.327) Data 0.000 (0.001) Loss 1.7113 (1.8105) Prec@1 62.500 (58.814) Prec@5 82.812 (80.701) Epoch: [39][7880/10010] Time 0.320 (0.327) Data 0.001 (0.001) Loss 1.3825 (1.8104) Prec@1 65.625 (58.815) Prec@5 88.281 (80.701) Epoch: [39][7890/10010] Time 0.335 (0.327) Data 0.001 (0.001) Loss 1.5960 (1.8104) Prec@1 61.719 (58.814) Prec@5 84.375 (80.700) Epoch: [39][7900/10010] Time 0.333 (0.327) Data 0.001 (0.001) Loss 1.6794 (1.8104) Prec@1 56.250 (58.812) Prec@5 81.250 (80.700) Epoch: [39][7910/10010] Time 0.330 (0.327) Data 0.001 (0.001) Loss 1.6931 (1.8105) Prec@1 61.719 (58.809) Prec@5 83.594 (80.699) Epoch: [39][7920/10010] Time 0.326 (0.328) Data 0.001 (0.001) Loss 1.8079 (1.8107) Prec@1 57.031 (58.806) Prec@5 80.469 (80.698) Epoch: [39][7930/10010] Time 0.326 (0.328) Data 0.000 (0.001) Loss 1.9082 (1.8108) Prec@1 60.156 (58.803) Prec@5 80.469 (80.696) Epoch: [39][7940/10010] Time 0.318 (0.328) Data 0.001 (0.001) Loss 1.9229 (1.8108) Prec@1 58.594 (58.805) Prec@5 75.781 (80.695) Epoch: [39][7950/10010] Time 0.318 (0.328) Data 0.001 (0.001) Loss 1.8710 (1.8108) Prec@1 60.938 (58.806) Prec@5 79.688 (80.696) Epoch: [39][7960/10010] Time 0.327 (0.328) Data 0.001 (0.001) Loss 1.5737 (1.8107) Prec@1 67.188 (58.809) Prec@5 82.031 (80.698) Epoch: [39][7970/10010] Time 0.326 (0.327) Data 0.001 (0.001) Loss 1.7304 (1.8107) Prec@1 58.594 (58.807) Prec@5 78.906 (80.696) Epoch: [39][7980/10010] Time 0.328 (0.327) Data 0.001 (0.001) Loss 1.7263 (1.8106) Prec@1 60.156 (58.807) Prec@5 80.469 (80.697) Epoch: [39][7990/10010] Time 0.332 (0.327) Data 0.001 (0.001) Loss 2.0544 (1.8106) Prec@1 53.125 (58.807) Prec@5 77.344 (80.698) Epoch: [39][8000/10010] Time 0.328 (0.327) Data 0.001 (0.001) Loss 1.8339 (1.8108) Prec@1 57.812 (58.802) Prec@5 80.469 (80.696) Epoch: [39][8010/10010] Time 0.321 (0.327) Data 0.001 (0.001) Loss 2.1259 (1.8108) Prec@1 50.000 (58.802) Prec@5 76.562 (80.695) Epoch: [39][8020/10010] Time 0.330 (0.327) Data 0.001 (0.001) Loss 1.6516 (1.8109) Prec@1 62.500 (58.803) Prec@5 85.156 (80.695) Epoch: [39][8030/10010] Time 0.341 (0.327) Data 0.000 (0.001) Loss 1.7443 (1.8109) Prec@1 60.156 (58.801) Prec@5 78.906 (80.694) Epoch: [39][8040/10010] Time 0.315 (0.327) Data 0.001 (0.001) Loss 1.5904 (1.8111) Prec@1 64.844 (58.800) Prec@5 83.594 (80.692) Epoch: [39][8050/10010] Time 0.331 (0.327) Data 0.001 (0.001) Loss 1.6416 (1.8111) Prec@1 64.844 (58.799) Prec@5 85.938 (80.692) Epoch: [39][8060/10010] Time 0.319 (0.327) Data 0.000 (0.001) Loss 1.7417 (1.8111) Prec@1 59.375 (58.801) Prec@5 78.906 (80.691) Epoch: [39][8070/10010] Time 0.320 (0.328) Data 0.001 (0.001) Loss 1.8125 (1.8112) Prec@1 61.719 (58.799) Prec@5 79.688 (80.691) Epoch: [39][8080/10010] Time 0.313 (0.327) Data 0.001 (0.001) Loss 1.5189 (1.8113) Prec@1 61.719 (58.796) Prec@5 82.031 (80.689) Epoch: [39][8090/10010] Time 0.316 (0.327) Data 0.001 (0.001) Loss 1.9368 (1.8114) Prec@1 58.594 (58.795) Prec@5 78.125 (80.688) Epoch: [39][8100/10010] Time 0.339 (0.327) Data 0.001 (0.001) Loss 1.9084 (1.8115) Prec@1 58.594 (58.795) Prec@5 77.344 (80.688) Epoch: [39][8110/10010] Time 0.334 (0.327) Data 0.001 (0.001) Loss 2.1169 (1.8115) Prec@1 52.344 (58.795) Prec@5 78.906 (80.686) Epoch: [39][8120/10010] Time 0.339 (0.327) Data 0.001 (0.001) Loss 1.6282 (1.8116) Prec@1 64.062 (58.793) Prec@5 82.031 (80.682) Epoch: [39][8130/10010] Time 0.319 (0.327) Data 0.001 (0.001) Loss 1.5489 (1.8118) Prec@1 62.500 (58.790) Prec@5 85.156 (80.679) Epoch: [39][8140/10010] Time 0.313 (0.327) Data 0.001 (0.001) Loss 1.6586 (1.8116) Prec@1 60.938 (58.792) Prec@5 82.031 (80.681) Epoch: [39][8150/10010] Time 0.323 (0.327) Data 0.001 (0.001) Loss 2.1678 (1.8117) Prec@1 51.562 (58.792) Prec@5 71.094 (80.681) Epoch: [39][8160/10010] Time 0.325 (0.327) Data 0.001 (0.001) Loss 1.9625 (1.8116) Prec@1 54.688 (58.796) Prec@5 78.125 (80.682) Epoch: [39][8170/10010] Time 0.338 (0.327) Data 0.001 (0.001) Loss 1.4977 (1.8115) Prec@1 67.969 (58.798) Prec@5 80.469 (80.682) Epoch: [39][8180/10010] Time 0.313 (0.327) Data 0.000 (0.001) Loss 1.6281 (1.8115) Prec@1 64.844 (58.799) Prec@5 82.031 (80.682) Epoch: [39][8190/10010] Time 0.330 (0.327) Data 0.000 (0.001) Loss 1.9867 (1.8116) Prec@1 57.031 (58.798) Prec@5 78.906 (80.682) Epoch: [39][8200/10010] Time 0.335 (0.327) Data 0.001 (0.001) Loss 1.7020 (1.8115) Prec@1 62.500 (58.800) Prec@5 83.594 (80.685) Epoch: [39][8210/10010] Time 0.312 (0.327) Data 0.001 (0.001) Loss 2.0700 (1.8115) Prec@1 60.156 (58.803) Prec@5 74.219 (80.685) Epoch: [39][8220/10010] Time 0.312 (0.327) Data 0.001 (0.001) Loss 1.7618 (1.8115) Prec@1 61.719 (58.803) Prec@5 81.250 (80.684) Epoch: [39][8230/10010] Time 0.316 (0.327) Data 0.000 (0.001) Loss 1.9418 (1.8116) Prec@1 53.906 (58.800) Prec@5 75.781 (80.682) Epoch: [39][8240/10010] Time 0.326 (0.327) Data 0.000 (0.001) Loss 1.6336 (1.8117) Prec@1 63.281 (58.800) Prec@5 81.250 (80.682) Epoch: [39][8250/10010] Time 0.340 (0.327) Data 0.001 (0.001) Loss 2.1273 (1.8116) Prec@1 53.906 (58.802) Prec@5 76.562 (80.684) Epoch: [39][8260/10010] Time 0.312 (0.327) Data 0.000 (0.001) Loss 1.6331 (1.8115) Prec@1 61.719 (58.803) Prec@5 83.594 (80.684) Epoch: [39][8270/10010] Time 0.337 (0.327) Data 0.001 (0.001) Loss 1.6518 (1.8116) Prec@1 67.969 (58.803) Prec@5 82.031 (80.683) Epoch: [39][8280/10010] Time 0.323 (0.327) Data 0.000 (0.001) Loss 2.1630 (1.8117) Prec@1 50.000 (58.798) Prec@5 75.781 (80.682) Epoch: [39][8290/10010] Time 0.330 (0.327) Data 0.001 (0.001) Loss 1.5987 (1.8118) Prec@1 64.844 (58.796) Prec@5 84.375 (80.682) Epoch: [39][8300/10010] Time 0.323 (0.327) Data 0.001 (0.001) Loss 2.1037 (1.8119) Prec@1 56.250 (58.795) Prec@5 75.781 (80.680) Epoch: [39][8310/10010] Time 0.327 (0.327) Data 0.001 (0.001) Loss 1.6011 (1.8118) Prec@1 64.062 (58.797) Prec@5 85.156 (80.681) Epoch: [39][8320/10010] Time 0.326 (0.327) Data 0.001 (0.001) Loss 1.7687 (1.8117) Prec@1 56.250 (58.798) Prec@5 80.469 (80.681) Epoch: [39][8330/10010] Time 0.330 (0.327) Data 0.001 (0.001) Loss 1.8342 (1.8117) Prec@1 60.156 (58.798) Prec@5 85.156 (80.682) Epoch: [39][8340/10010] Time 0.338 (0.327) Data 0.000 (0.001) Loss 1.7161 (1.8116) Prec@1 58.594 (58.798) Prec@5 82.031 (80.684) Epoch: [39][8350/10010] Time 0.324 (0.327) Data 0.001 (0.001) Loss 1.7377 (1.8116) Prec@1 64.844 (58.797) Prec@5 81.250 (80.686) Epoch: [39][8360/10010] Time 0.322 (0.327) Data 0.001 (0.001) Loss 1.7434 (1.8117) Prec@1 54.688 (58.794) Prec@5 82.812 (80.683) Epoch: [39][8370/10010] Time 0.318 (0.327) Data 0.001 (0.001) Loss 1.8030 (1.8118) Prec@1 57.812 (58.793) Prec@5 78.906 (80.680) Epoch: [39][8380/10010] Time 0.323 (0.327) Data 0.001 (0.001) Loss 1.6066 (1.8117) Prec@1 61.719 (58.793) Prec@5 85.156 (80.681) Epoch: [39][8390/10010] Time 0.318 (0.327) Data 0.001 (0.001) Loss 1.8102 (1.8117) Prec@1 56.250 (58.793) Prec@5 77.344 (80.680) Epoch: [39][8400/10010] Time 0.331 (0.327) Data 0.001 (0.001) Loss 1.8903 (1.8118) Prec@1 58.594 (58.792) Prec@5 78.906 (80.680) Epoch: [39][8410/10010] Time 0.334 (0.327) Data 0.001 (0.001) Loss 1.7376 (1.8119) Prec@1 58.594 (58.790) Prec@5 81.250 (80.678) Epoch: [39][8420/10010] Time 0.317 (0.327) Data 0.001 (0.001) Loss 1.8430 (1.8119) Prec@1 58.594 (58.789) Prec@5 80.469 (80.678) Epoch: [39][8430/10010] Time 0.309 (0.327) Data 0.001 (0.001) Loss 1.9827 (1.8119) Prec@1 55.469 (58.791) Prec@5 77.344 (80.679) Epoch: [39][8440/10010] Time 0.313 (0.327) Data 0.001 (0.001) Loss 1.5400 (1.8119) Prec@1 63.281 (58.790) Prec@5 81.250 (80.677) Epoch: [39][8450/10010] Time 0.325 (0.327) Data 0.001 (0.001) Loss 1.9234 (1.8119) Prec@1 57.031 (58.789) Prec@5 78.125 (80.676) Epoch: [39][8460/10010] Time 0.339 (0.327) Data 0.000 (0.001) Loss 1.6035 (1.8118) Prec@1 60.938 (58.788) Prec@5 84.375 (80.677) Epoch: [39][8470/10010] Time 0.319 (0.327) Data 0.001 (0.001) Loss 1.8791 (1.8118) Prec@1 60.156 (58.789) Prec@5 79.688 (80.678) Epoch: [39][8480/10010] Time 0.330 (0.327) Data 0.001 (0.001) Loss 1.7366 (1.8118) Prec@1 59.375 (58.789) Prec@5 78.906 (80.678) Epoch: [39][8490/10010] Time 0.322 (0.327) Data 0.001 (0.001) Loss 1.8587 (1.8118) Prec@1 57.031 (58.789) Prec@5 79.688 (80.678) Epoch: [39][8500/10010] Time 0.328 (0.327) Data 0.001 (0.001) Loss 1.8968 (1.8118) Prec@1 59.375 (58.790) Prec@5 82.031 (80.679) Epoch: [39][8510/10010] Time 0.318 (0.327) Data 0.000 (0.001) Loss 2.0454 (1.8119) Prec@1 54.688 (58.790) Prec@5 77.344 (80.680) Epoch: [39][8520/10010] Time 0.318 (0.327) Data 0.001 (0.001) Loss 1.6516 (1.8119) Prec@1 64.062 (58.792) Prec@5 82.031 (80.680) Epoch: [39][8530/10010] Time 0.319 (0.327) Data 0.001 (0.001) Loss 2.2059 (1.8120) Prec@1 56.250 (58.790) Prec@5 74.219 (80.678) Epoch: [39][8540/10010] Time 0.323 (0.327) Data 0.001 (0.001) Loss 1.5629 (1.8120) Prec@1 60.156 (58.787) Prec@5 82.812 (80.678) Epoch: [39][8550/10010] Time 0.333 (0.327) Data 0.001 (0.001) Loss 1.9220 (1.8120) Prec@1 59.375 (58.787) Prec@5 78.906 (80.678) Epoch: [39][8560/10010] Time 0.331 (0.327) Data 0.001 (0.001) Loss 1.6121 (1.8121) Prec@1 61.719 (58.784) Prec@5 85.938 (80.676) Epoch: [39][8570/10010] Time 0.333 (0.327) Data 0.001 (0.001) Loss 1.9026 (1.8121) Prec@1 51.562 (58.781) Prec@5 82.812 (80.677) Epoch: [39][8580/10010] Time 0.332 (0.327) Data 0.001 (0.001) Loss 1.7816 (1.8121) Prec@1 58.594 (58.779) Prec@5 81.250 (80.676) Epoch: [39][8590/10010] Time 0.340 (0.327) Data 0.001 (0.001) Loss 1.7966 (1.8122) Prec@1 61.719 (58.778) Prec@5 84.375 (80.677) Epoch: [39][8600/10010] Time 0.326 (0.327) Data 0.001 (0.001) Loss 1.9442 (1.8122) Prec@1 60.156 (58.779) Prec@5 78.906 (80.677) Epoch: [39][8610/10010] Time 0.325 (0.327) Data 0.001 (0.001) Loss 1.6160 (1.8121) Prec@1 67.188 (58.782) Prec@5 80.469 (80.677) Epoch: [39][8620/10010] Time 0.313 (0.327) Data 0.001 (0.001) Loss 1.6041 (1.8121) Prec@1 67.188 (58.786) Prec@5 86.719 (80.677) Epoch: [39][8630/10010] Time 0.308 (0.327) Data 0.001 (0.001) Loss 1.6915 (1.8121) Prec@1 60.156 (58.786) Prec@5 85.938 (80.677) Epoch: [39][8640/10010] Time 0.337 (0.327) Data 0.001 (0.001) Loss 1.9652 (1.8121) Prec@1 50.781 (58.787) Prec@5 72.656 (80.677) Epoch: [39][8650/10010] Time 0.334 (0.327) Data 0.001 (0.001) Loss 1.4987 (1.8120) Prec@1 62.500 (58.788) Prec@5 85.156 (80.679) Epoch: [39][8660/10010] Time 0.321 (0.327) Data 0.000 (0.001) Loss 1.6520 (1.8120) Prec@1 62.500 (58.788) Prec@5 83.594 (80.679) Epoch: [39][8670/10010] Time 0.330 (0.327) Data 0.001 (0.001) Loss 1.7300 (1.8120) Prec@1 58.594 (58.787) Prec@5 82.812 (80.679) Epoch: [39][8680/10010] Time 0.323 (0.327) Data 0.001 (0.001) Loss 1.5043 (1.8119) Prec@1 65.625 (58.790) Prec@5 83.594 (80.679) Epoch: [39][8690/10010] Time 0.336 (0.327) Data 0.001 (0.001) Loss 1.7651 (1.8120) Prec@1 57.812 (58.790) Prec@5 81.250 (80.679) Epoch: [39][8700/10010] Time 0.337 (0.327) Data 0.004 (0.001) Loss 1.9192 (1.8119) Prec@1 58.594 (58.792) Prec@5 76.562 (80.679) Epoch: [39][8710/10010] Time 0.328 (0.327) Data 0.001 (0.001) Loss 1.7774 (1.8119) Prec@1 59.375 (58.795) Prec@5 75.781 (80.678) Epoch: [39][8720/10010] Time 0.311 (0.327) Data 0.001 (0.001) Loss 1.7496 (1.8120) Prec@1 64.062 (58.795) Prec@5 78.906 (80.675) Epoch: [39][8730/10010] Time 0.318 (0.327) Data 0.001 (0.001) Loss 1.8791 (1.8121) Prec@1 57.031 (58.793) Prec@5 80.469 (80.675) Epoch: [39][8740/10010] Time 0.327 (0.327) Data 0.001 (0.001) Loss 1.5711 (1.8120) Prec@1 62.500 (58.793) Prec@5 84.375 (80.676) Epoch: [39][8750/10010] Time 0.318 (0.327) Data 0.001 (0.001) Loss 1.9956 (1.8120) Prec@1 53.906 (58.794) Prec@5 77.344 (80.676) Epoch: [39][8760/10010] Time 0.319 (0.327) Data 0.001 (0.001) Loss 1.7796 (1.8121) Prec@1 64.062 (58.791) Prec@5 79.688 (80.672) Epoch: [39][8770/10010] Time 0.341 (0.327) Data 0.001 (0.001) Loss 1.7772 (1.8122) Prec@1 57.031 (58.790) Prec@5 85.938 (80.673) Epoch: [39][8780/10010] Time 0.337 (0.327) Data 0.000 (0.001) Loss 1.9836 (1.8123) Prec@1 53.125 (58.788) Prec@5 73.438 (80.670) Epoch: [39][8790/10010] Time 0.319 (0.327) Data 0.001 (0.001) Loss 1.7393 (1.8124) Prec@1 60.938 (58.787) Prec@5 79.688 (80.668) Epoch: [39][8800/10010] Time 0.340 (0.327) Data 0.000 (0.001) Loss 1.8336 (1.8124) Prec@1 57.031 (58.787) Prec@5 82.812 (80.668) Epoch: [39][8810/10010] Time 0.313 (0.327) Data 0.000 (0.001) Loss 1.6517 (1.8124) Prec@1 61.719 (58.785) Prec@5 81.250 (80.668) Epoch: [39][8820/10010] Time 0.315 (0.327) Data 0.001 (0.001) Loss 1.6967 (1.8125) Prec@1 56.250 (58.782) Prec@5 85.938 (80.667) Epoch: [39][8830/10010] Time 0.326 (0.327) Data 0.001 (0.001) Loss 1.6399 (1.8124) Prec@1 67.188 (58.784) Prec@5 84.375 (80.668) Epoch: [39][8840/10010] Time 0.319 (0.327) Data 0.001 (0.001) Loss 2.0962 (1.8124) Prec@1 53.125 (58.783) Prec@5 78.125 (80.666) Epoch: [39][8850/10010] Time 0.336 (0.327) Data 0.001 (0.001) Loss 1.8968 (1.8124) Prec@1 58.594 (58.782) Prec@5 78.906 (80.667) Epoch: [39][8860/10010] Time 0.327 (0.327) Data 0.001 (0.001) Loss 1.8481 (1.8125) Prec@1 53.906 (58.780) Prec@5 84.375 (80.667) Epoch: [39][8870/10010] Time 0.318 (0.327) Data 0.001 (0.001) Loss 1.7342 (1.8124) Prec@1 60.156 (58.782) Prec@5 84.375 (80.669) Epoch: [39][8880/10010] Time 0.315 (0.327) Data 0.001 (0.001) Loss 2.0138 (1.8125) Prec@1 55.469 (58.782) Prec@5 80.469 (80.668) Epoch: [39][8890/10010] Time 0.343 (0.327) Data 0.001 (0.001) Loss 2.1416 (1.8126) Prec@1 57.812 (58.781) Prec@5 79.688 (80.667) Epoch: [39][8900/10010] Time 0.332 (0.327) Data 0.001 (0.001) Loss 2.0188 (1.8126) Prec@1 57.031 (58.780) Prec@5 75.781 (80.666) Epoch: [39][8910/10010] Time 0.331 (0.327) Data 0.000 (0.001) Loss 1.7255 (1.8126) Prec@1 57.812 (58.780) Prec@5 81.250 (80.666) Epoch: [39][8920/10010] Time 0.339 (0.327) Data 0.001 (0.001) Loss 1.8015 (1.8126) Prec@1 57.031 (58.781) Prec@5 80.469 (80.667) Epoch: [39][8930/10010] Time 0.337 (0.327) Data 0.001 (0.001) Loss 1.9714 (1.8126) Prec@1 58.594 (58.780) Prec@5 78.125 (80.666) Epoch: [39][8940/10010] Time 0.331 (0.327) Data 0.001 (0.001) Loss 1.7693 (1.8125) Prec@1 56.250 (58.779) Prec@5 78.125 (80.665) Epoch: [39][8950/10010] Time 0.339 (0.327) Data 0.001 (0.001) Loss 1.9070 (1.8125) Prec@1 62.500 (58.781) Prec@5 79.688 (80.665) Epoch: [39][8960/10010] Time 0.319 (0.327) Data 0.001 (0.001) Loss 1.6543 (1.8125) Prec@1 58.594 (58.782) Prec@5 82.031 (80.667) Epoch: [39][8970/10010] Time 0.338 (0.327) Data 0.001 (0.001) Loss 1.7064 (1.8125) Prec@1 59.375 (58.783) Prec@5 82.812 (80.666) Epoch: [39][8980/10010] Time 0.329 (0.327) Data 0.000 (0.001) Loss 1.5911 (1.8126) Prec@1 59.375 (58.782) Prec@5 82.812 (80.664) Epoch: [39][8990/10010] Time 0.330 (0.327) Data 0.001 (0.001) Loss 1.7277 (1.8126) Prec@1 55.469 (58.780) Prec@5 80.469 (80.665) Epoch: [39][9000/10010] Time 0.317 (0.327) Data 0.001 (0.001) Loss 1.9401 (1.8126) Prec@1 56.250 (58.780) Prec@5 78.125 (80.665) Epoch: [39][9010/10010] Time 0.324 (0.327) Data 0.001 (0.001) Loss 1.6949 (1.8126) Prec@1 62.500 (58.780) Prec@5 83.594 (80.667) Epoch: [39][9020/10010] Time 0.331 (0.327) Data 0.001 (0.001) Loss 1.6238 (1.8127) Prec@1 66.406 (58.778) Prec@5 80.469 (80.666) Epoch: [39][9030/10010] Time 0.314 (0.327) Data 0.001 (0.001) Loss 1.9117 (1.8127) Prec@1 51.562 (58.777) Prec@5 78.125 (80.665) Epoch: [39][9040/10010] Time 0.313 (0.327) Data 0.001 (0.001) Loss 1.8336 (1.8127) Prec@1 60.156 (58.775) Prec@5 81.250 (80.664) Epoch: [39][9050/10010] Time 0.326 (0.327) Data 0.001 (0.001) Loss 1.7689 (1.8127) Prec@1 60.156 (58.775) Prec@5 79.688 (80.664) Epoch: [39][9060/10010] Time 0.326 (0.327) Data 0.001 (0.001) Loss 1.9124 (1.8128) Prec@1 56.250 (58.773) Prec@5 78.906 (80.663) Epoch: [39][9070/10010] Time 0.327 (0.327) Data 0.001 (0.001) Loss 1.6056 (1.8127) Prec@1 62.500 (58.774) Prec@5 84.375 (80.663) Epoch: [39][9080/10010] Time 0.313 (0.327) Data 0.001 (0.001) Loss 1.8404 (1.8127) Prec@1 54.688 (58.775) Prec@5 78.125 (80.662) Epoch: [39][9090/10010] Time 0.337 (0.327) Data 0.001 (0.001) Loss 1.7310 (1.8127) Prec@1 59.375 (58.775) Prec@5 85.156 (80.663) Epoch: [39][9100/10010] Time 0.321 (0.327) Data 0.001 (0.001) Loss 1.5733 (1.8127) Prec@1 64.062 (58.775) Prec@5 84.375 (80.664) Epoch: [39][9110/10010] Time 0.328 (0.327) Data 0.001 (0.001) Loss 1.7486 (1.8126) Prec@1 50.781 (58.775) Prec@5 82.812 (80.664) Epoch: [39][9120/10010] Time 0.316 (0.327) Data 0.001 (0.001) Loss 1.8903 (1.8126) Prec@1 58.594 (58.776) Prec@5 73.438 (80.666) Epoch: [39][9130/10010] Time 0.313 (0.327) Data 0.001 (0.001) Loss 1.7002 (1.8125) Prec@1 62.500 (58.780) Prec@5 86.719 (80.667) Epoch: [39][9140/10010] Time 0.336 (0.327) Data 0.000 (0.001) Loss 1.9128 (1.8125) Prec@1 57.812 (58.779) Prec@5 77.344 (80.665) Epoch: [39][9150/10010] Time 0.310 (0.327) Data 0.001 (0.001) Loss 2.1907 (1.8126) Prec@1 52.344 (58.779) Prec@5 76.562 (80.664) Epoch: [39][9160/10010] Time 0.324 (0.327) Data 0.001 (0.001) Loss 1.9482 (1.8127) Prec@1 62.500 (58.779) Prec@5 77.344 (80.664) Epoch: [39][9170/10010] Time 0.331 (0.327) Data 0.001 (0.001) Loss 1.7672 (1.8126) Prec@1 63.281 (58.782) Prec@5 82.812 (80.664) Epoch: [39][9180/10010] Time 0.315 (0.327) Data 0.001 (0.001) Loss 1.8379 (1.8126) Prec@1 57.812 (58.782) Prec@5 76.562 (80.664) Epoch: [39][9190/10010] Time 0.316 (0.327) Data 0.001 (0.001) Loss 1.6327 (1.8126) Prec@1 60.938 (58.782) Prec@5 84.375 (80.663) Epoch: [39][9200/10010] Time 0.328 (0.327) Data 0.001 (0.001) Loss 2.0634 (1.8127) Prec@1 54.688 (58.781) Prec@5 74.219 (80.662) Epoch: [39][9210/10010] Time 0.321 (0.327) Data 0.000 (0.001) Loss 1.8521 (1.8127) Prec@1 57.812 (58.780) Prec@5 78.125 (80.662) Epoch: [39][9220/10010] Time 0.324 (0.327) Data 0.001 (0.001) Loss 1.9045 (1.8127) Prec@1 53.906 (58.779) Prec@5 79.688 (80.662) Epoch: [39][9230/10010] Time 0.321 (0.327) Data 0.001 (0.001) Loss 2.0506 (1.8129) Prec@1 51.562 (58.777) Prec@5 72.656 (80.660) Epoch: [39][9240/10010] Time 0.328 (0.327) Data 0.000 (0.001) Loss 1.8970 (1.8129) Prec@1 57.812 (58.775) Prec@5 76.562 (80.660) Epoch: [39][9250/10010] Time 0.327 (0.327) Data 0.001 (0.001) Loss 2.1625 (1.8130) Prec@1 54.688 (58.773) Prec@5 73.438 (80.657) Epoch: [39][9260/10010] Time 0.316 (0.327) Data 0.001 (0.001) Loss 2.1157 (1.8130) Prec@1 58.594 (58.772) Prec@5 75.781 (80.657) Epoch: [39][9270/10010] Time 0.336 (0.327) Data 0.001 (0.001) Loss 1.8843 (1.8131) Prec@1 60.938 (58.771) Prec@5 82.031 (80.656) Epoch: [39][9280/10010] Time 0.340 (0.327) Data 0.000 (0.001) Loss 1.5544 (1.8130) Prec@1 62.500 (58.772) Prec@5 86.719 (80.657) Epoch: [39][9290/10010] Time 0.339 (0.327) Data 0.001 (0.001) Loss 1.8515 (1.8131) Prec@1 56.250 (58.769) Prec@5 77.344 (80.655) Epoch: [39][9300/10010] Time 0.322 (0.327) Data 0.000 (0.001) Loss 2.1289 (1.8131) Prec@1 53.906 (58.771) Prec@5 77.344 (80.656) Epoch: [39][9310/10010] Time 0.319 (0.327) Data 0.001 (0.001) Loss 1.7623 (1.8131) Prec@1 62.500 (58.768) Prec@5 83.594 (80.656) Epoch: [39][9320/10010] Time 0.333 (0.327) Data 0.001 (0.001) Loss 1.7693 (1.8131) Prec@1 60.938 (58.768) Prec@5 79.688 (80.655) Epoch: [39][9330/10010] Time 0.333 (0.327) Data 0.001 (0.001) Loss 1.6913 (1.8131) Prec@1 60.938 (58.770) Prec@5 83.594 (80.656) Epoch: [39][9340/10010] Time 0.325 (0.327) Data 0.001 (0.001) Loss 1.9825 (1.8131) Prec@1 53.906 (58.771) Prec@5 79.688 (80.656) Epoch: [39][9350/10010] Time 0.335 (0.327) Data 0.001 (0.001) Loss 2.1215 (1.8133) Prec@1 54.688 (58.769) Prec@5 73.438 (80.653) Epoch: [39][9360/10010] Time 0.315 (0.327) Data 0.001 (0.001) Loss 2.0966 (1.8134) Prec@1 53.906 (58.767) Prec@5 77.344 (80.653) Epoch: [39][9370/10010] Time 0.334 (0.327) Data 0.000 (0.001) Loss 1.8256 (1.8134) Prec@1 55.469 (58.766) Prec@5 78.125 (80.653) Epoch: [39][9380/10010] Time 0.321 (0.327) Data 0.001 (0.001) Loss 1.8745 (1.8134) Prec@1 60.156 (58.767) Prec@5 79.688 (80.654) Epoch: [39][9390/10010] Time 0.337 (0.327) Data 0.001 (0.001) Loss 1.6886 (1.8134) Prec@1 63.281 (58.767) Prec@5 83.594 (80.654) Epoch: [39][9400/10010] Time 0.332 (0.327) Data 0.001 (0.001) Loss 2.0627 (1.8135) Prec@1 52.344 (58.763) Prec@5 76.562 (80.652) Epoch: [39][9410/10010] Time 0.332 (0.327) Data 0.001 (0.001) Loss 1.8847 (1.8135) Prec@1 57.812 (58.764) Prec@5 78.125 (80.651) Epoch: [39][9420/10010] Time 0.308 (0.327) Data 0.001 (0.001) Loss 1.6753 (1.8135) Prec@1 63.281 (58.766) Prec@5 83.594 (80.652) Epoch: [39][9430/10010] Time 0.331 (0.327) Data 0.001 (0.001) Loss 1.7833 (1.8135) Prec@1 57.031 (58.766) Prec@5 82.031 (80.653) Epoch: [39][9440/10010] Time 0.330 (0.327) Data 0.000 (0.001) Loss 2.0692 (1.8135) Prec@1 57.812 (58.766) Prec@5 76.562 (80.651) Epoch: [39][9450/10010] Time 0.322 (0.327) Data 0.001 (0.001) Loss 1.6440 (1.8136) Prec@1 65.625 (58.764) Prec@5 82.812 (80.651) Epoch: [39][9460/10010] Time 0.339 (0.327) Data 0.001 (0.001) Loss 1.6924 (1.8136) Prec@1 64.844 (58.764) Prec@5 82.031 (80.650) Epoch: [39][9470/10010] Time 0.320 (0.327) Data 0.000 (0.001) Loss 1.7672 (1.8136) Prec@1 57.031 (58.763) Prec@5 84.375 (80.650) Epoch: [39][9480/10010] Time 0.315 (0.327) Data 0.001 (0.001) Loss 1.7125 (1.8137) Prec@1 64.062 (58.764) Prec@5 82.812 (80.649) Epoch: [39][9490/10010] Time 0.330 (0.327) Data 0.001 (0.001) Loss 2.1088 (1.8137) Prec@1 57.031 (58.763) Prec@5 76.562 (80.649) Epoch: [39][9500/10010] Time 0.335 (0.327) Data 0.001 (0.001) Loss 1.7685 (1.8136) Prec@1 60.938 (58.766) Prec@5 80.469 (80.651) Epoch: [39][9510/10010] Time 0.320 (0.327) Data 0.001 (0.001) Loss 1.5169 (1.8136) Prec@1 63.281 (58.766) Prec@5 82.812 (80.651) Epoch: [39][9520/10010] Time 0.337 (0.327) Data 0.001 (0.001) Loss 1.6575 (1.8136) Prec@1 58.594 (58.766) Prec@5 78.906 (80.652) Epoch: [39][9530/10010] Time 0.319 (0.327) Data 0.001 (0.001) Loss 2.0568 (1.8136) Prec@1 51.562 (58.766) Prec@5 75.781 (80.651) Epoch: [39][9540/10010] Time 0.315 (0.327) Data 0.001 (0.001) Loss 2.0251 (1.8136) Prec@1 54.688 (58.766) Prec@5 75.781 (80.651) Epoch: [39][9550/10010] Time 0.324 (0.327) Data 0.001 (0.001) Loss 1.6845 (1.8137) Prec@1 58.594 (58.764) Prec@5 82.812 (80.650) Epoch: [39][9560/10010] Time 0.328 (0.327) Data 0.000 (0.001) Loss 2.1381 (1.8137) Prec@1 54.688 (58.764) Prec@5 79.688 (80.651) Epoch: [39][9570/10010] Time 0.321 (0.327) Data 0.001 (0.001) Loss 1.6754 (1.8136) Prec@1 65.625 (58.766) Prec@5 82.031 (80.652) Epoch: [39][9580/10010] Time 0.336 (0.327) Data 0.000 (0.001) Loss 2.0747 (1.8136) Prec@1 57.812 (58.766) Prec@5 78.125 (80.651) Epoch: [39][9590/10010] Time 0.323 (0.327) Data 0.001 (0.001) Loss 2.0074 (1.8136) Prec@1 59.375 (58.765) Prec@5 77.344 (80.652) Epoch: [39][9600/10010] Time 0.336 (0.327) Data 0.001 (0.001) Loss 1.8217 (1.8136) Prec@1 56.250 (58.765) Prec@5 82.812 (80.652) Epoch: [39][9610/10010] Time 0.335 (0.327) Data 0.001 (0.001) Loss 1.8301 (1.8137) Prec@1 57.031 (58.764) Prec@5 78.125 (80.651) Epoch: [39][9620/10010] Time 0.314 (0.327) Data 0.001 (0.001) Loss 1.8869 (1.8137) Prec@1 60.156 (58.763) Prec@5 78.906 (80.649) Epoch: [39][9630/10010] Time 0.332 (0.327) Data 0.001 (0.001) Loss 1.6767 (1.8138) Prec@1 53.125 (58.763) Prec@5 79.688 (80.648) Epoch: [39][9640/10010] Time 0.325 (0.327) Data 0.001 (0.001) Loss 1.6487 (1.8137) Prec@1 60.156 (58.764) Prec@5 82.031 (80.648) Epoch: [39][9650/10010] Time 0.337 (0.327) Data 0.000 (0.001) Loss 1.7810 (1.8137) Prec@1 58.594 (58.763) Prec@5 78.125 (80.647) Epoch: [39][9660/10010] Time 0.328 (0.327) Data 0.001 (0.001) Loss 2.2567 (1.8138) Prec@1 52.344 (58.764) Prec@5 74.219 (80.647) Epoch: [39][9670/10010] Time 0.339 (0.327) Data 0.001 (0.001) Loss 1.9752 (1.8138) Prec@1 53.125 (58.765) Prec@5 80.469 (80.647) Epoch: [39][9680/10010] Time 0.336 (0.327) Data 0.001 (0.001) Loss 1.7836 (1.8138) Prec@1 57.812 (58.765) Prec@5 80.469 (80.645) Epoch: [39][9690/10010] Time 0.319 (0.327) Data 0.001 (0.001) Loss 1.8704 (1.8138) Prec@1 52.344 (58.764) Prec@5 82.031 (80.645) Epoch: [39][9700/10010] Time 0.338 (0.327) Data 0.001 (0.001) Loss 2.0782 (1.8139) Prec@1 53.906 (58.763) Prec@5 79.688 (80.643) Epoch: [39][9710/10010] Time 0.321 (0.327) Data 0.001 (0.001) Loss 1.9047 (1.8139) Prec@1 55.469 (58.762) Prec@5 79.688 (80.642) Epoch: [39][9720/10010] Time 0.333 (0.327) Data 0.000 (0.001) Loss 2.0543 (1.8139) Prec@1 53.125 (58.762) Prec@5 74.219 (80.643) Epoch: [39][9730/10010] Time 0.325 (0.327) Data 0.001 (0.001) Loss 2.0289 (1.8139) Prec@1 53.906 (58.760) Prec@5 80.469 (80.643) Epoch: [39][9740/10010] Time 0.340 (0.327) Data 0.001 (0.001) Loss 1.8224 (1.8141) Prec@1 57.031 (58.757) Prec@5 83.594 (80.641) Epoch: [39][9750/10010] Time 0.317 (0.327) Data 0.001 (0.001) Loss 2.0624 (1.8142) Prec@1 51.562 (58.756) Prec@5 73.438 (80.640) Epoch: [39][9760/10010] Time 0.326 (0.327) Data 0.000 (0.001) Loss 1.7032 (1.8141) Prec@1 63.281 (58.756) Prec@5 82.812 (80.640) Epoch: [39][9770/10010] Time 0.314 (0.327) Data 0.000 (0.001) Loss 1.5469 (1.8142) Prec@1 60.156 (58.755) Prec@5 84.375 (80.638) /data/vision/torralba/deepscene/lib/anaconda2/lib/python2.7/site-packages/PIL/TiffImagePlugin.py:692: UserWarning: Possibly corrupt EXIF data. Expecting to read 19660800 bytes but only got 0. Skipping tag 0 "Skipping tag %s" % (size, len(data), tag)) /data/vision/torralba/deepscene/lib/anaconda2/lib/python2.7/site-packages/PIL/TiffImagePlugin.py:692: UserWarning: Possibly corrupt EXIF data. Expecting to read 18481152 bytes but only got 0. Skipping tag 0 "Skipping tag %s" % (size, len(data), tag)) /data/vision/torralba/deepscene/lib/anaconda2/lib/python2.7/site-packages/PIL/TiffImagePlugin.py:692: UserWarning: Possibly corrupt EXIF data. Expecting to read 37093376 bytes but only got 0. Skipping tag 0 "Skipping tag %s" % (size, len(data), tag)) /data/vision/torralba/deepscene/lib/anaconda2/lib/python2.7/site-packages/PIL/TiffImagePlugin.py:692: UserWarning: Possibly corrupt EXIF data. Expecting to read 39976960 bytes but only got 0. Skipping tag 0 "Skipping tag %s" % (size, len(data), tag)) /data/vision/torralba/deepscene/lib/anaconda2/lib/python2.7/site-packages/PIL/TiffImagePlugin.py:692: UserWarning: Possibly corrupt EXIF data. Expecting to read 34865152 bytes but only got 0. Skipping tag 0 "Skipping tag %s" % (size, len(data), tag)) /data/vision/torralba/deepscene/lib/anaconda2/lib/python2.7/site-packages/PIL/TiffImagePlugin.py:709: UserWarning: Corrupt EXIF data. Expecting to read 12 bytes but only got 10. warnings.warn(str(msg)) Epoch: [39][9780/10010] Time 0.334 (0.327) Data 0.001 (0.001) Loss 1.6691 (1.8141) Prec@1 63.281 (58.757) Prec@5 81.250 (80.639) Epoch: [39][9790/10010] Time 0.318 (0.327) Data 0.001 (0.001) Loss 1.8659 (1.8141) Prec@1 59.375 (58.757) Prec@5 79.688 (80.639) Epoch: [39][9800/10010] Time 0.316 (0.327) Data 0.001 (0.001) Loss 1.8872 (1.8142) Prec@1 60.938 (58.756) Prec@5 78.125 (80.639) Epoch: [39][9810/10010] Time 0.322 (0.327) Data 0.001 (0.001) Loss 1.7711 (1.8141) Prec@1 58.594 (58.758) Prec@5 77.344 (80.639) Epoch: [39][9820/10010] Time 0.320 (0.327) Data 0.000 (0.001) Loss 2.0234 (1.8141) Prec@1 54.688 (58.759) Prec@5 78.125 (80.640) Epoch: [39][9830/10010] Time 0.319 (0.327) Data 0.001 (0.001) Loss 1.7400 (1.8141) Prec@1 61.719 (58.759) Prec@5 80.469 (80.638) Epoch: [39][9840/10010] Time 0.338 (0.327) Data 0.001 (0.001) Loss 1.9670 (1.8141) Prec@1 54.688 (58.759) Prec@5 78.125 (80.639) Epoch: [39][9850/10010] Time 0.322 (0.327) Data 0.000 (0.001) Loss 1.8560 (1.8142) Prec@1 57.812 (58.758) Prec@5 78.125 (80.638) Epoch: [39][9860/10010] Time 0.320 (0.327) Data 0.000 (0.001) Loss 1.8289 (1.8142) Prec@1 55.469 (58.759) Prec@5 81.250 (80.638) Epoch: [39][9870/10010] Time 0.319 (0.327) Data 0.000 (0.001) Loss 2.0289 (1.8141) Prec@1 53.906 (58.760) Prec@5 75.000 (80.639) Epoch: [39][9880/10010] Time 0.336 (0.327) Data 0.000 (0.001) Loss 1.9527 (1.8142) Prec@1 53.906 (58.759) Prec@5 78.125 (80.637) Epoch: [39][9890/10010] Time 0.335 (0.327) Data 0.001 (0.001) Loss 1.7100 (1.8142) Prec@1 56.250 (58.759) Prec@5 81.250 (80.637) Epoch: [39][9900/10010] Time 0.335 (0.327) Data 0.002 (0.001) Loss 2.0518 (1.8142) Prec@1 57.031 (58.760) Prec@5 78.125 (80.638) Epoch: [39][9910/10010] Time 0.339 (0.327) Data 0.001 (0.001) Loss 2.0478 (1.8141) Prec@1 56.250 (58.761) Prec@5 79.688 (80.638) Epoch: [39][9920/10010] Time 0.311 (0.327) Data 0.000 (0.001) Loss 1.8937 (1.8142) Prec@1 58.594 (58.763) Prec@5 79.688 (80.638) Epoch: [39][9930/10010] Time 0.328 (0.327) Data 0.000 (0.001) Loss 2.0211 (1.8142) Prec@1 57.812 (58.761) Prec@5 78.906 (80.637) Epoch: [39][9940/10010] Time 0.330 (0.327) Data 0.001 (0.001) Loss 1.5657 (1.8142) Prec@1 64.062 (58.762) Prec@5 88.281 (80.638) Epoch: [39][9950/10010] Time 0.331 (0.327) Data 0.001 (0.001) Loss 2.0938 (1.8141) Prec@1 50.000 (58.763) Prec@5 73.438 (80.639) Epoch: [39][9960/10010] Time 0.339 (0.327) Data 0.000 (0.001) Loss 1.9139 (1.8141) Prec@1 50.781 (58.761) Prec@5 81.250 (80.639) Epoch: [39][9970/10010] Time 0.319 (0.327) Data 0.001 (0.001) Loss 1.8321 (1.8142) Prec@1 55.469 (58.759) Prec@5 78.125 (80.638) Epoch: [39][9980/10010] Time 0.317 (0.327) Data 0.000 (0.001) Loss 1.7989 (1.8142) Prec@1 52.344 (58.757) Prec@5 83.594 (80.638) Epoch: [39][9990/10010] Time 0.314 (0.327) Data 0.001 (0.001) Loss 1.8278 (1.8141) Prec@1 57.812 (58.757) Prec@5 79.688 (80.639) Epoch: [39][10000/10010] Time 0.331 (0.327) Data 0.000 (0.001) Loss 1.7426 (1.8141) Prec@1 60.156 (58.756) Prec@5 82.031 (80.639) Test: [0/391] Time 1.355 (1.355) Loss 0.8743 (0.8743) Prec@1 78.906 (78.906) Prec@5 92.188 (92.188) Test: [10/391] Time 0.104 (0.220) Loss 1.1794 (0.8151) Prec@1 67.969 (79.688) Prec@5 89.062 (93.395) Test: [20/391] Time 0.117 (0.172) Loss 1.1463 (1.1838) Prec@1 72.656 (70.461) Prec@5 91.406 (89.397) Test: [30/391] Time 0.101 (0.151) Loss 2.1249 (1.3142) Prec@1 58.594 (67.213) Prec@5 81.250 (88.710) Test: [40/391] Time 0.110 (0.140) Loss 1.4679 (1.1905) Prec@1 64.844 (69.798) Prec@5 83.594 (89.806) Test: [50/391] Time 0.099 (0.133) Loss 0.5102 (1.2291) Prec@1 89.062 (69.684) Prec@5 97.656 (89.216) Test: [60/391] Time 0.103 (0.130) Loss 1.0877 (1.1517) Prec@1 66.406 (71.427) Prec@5 91.406 (90.100) Test: [70/391] Time 0.104 (0.126) Loss 1.2989 (1.1853) Prec@1 59.375 (70.235) Prec@5 92.969 (90.009) Test: [80/391] Time 0.106 (0.124) Loss 1.0890 (1.2050) Prec@1 70.312 (69.300) Prec@5 94.531 (90.085) Test: [90/391] Time 0.102 (0.122) Loss 1.1151 (1.2149) Prec@1 65.625 (69.102) Prec@5 94.531 (90.084) Test: [100/391] Time 0.103 (0.120) Loss 0.9051 (1.1991) Prec@1 75.000 (68.889) Prec@5 95.312 (90.463) Test: [110/391] Time 0.105 (0.119) Loss 1.5077 (1.2021) Prec@1 54.688 (68.546) Prec@5 85.938 (90.555) Test: [120/391] Time 0.105 (0.118) Loss 0.9819 (1.1941) Prec@1 75.781 (68.886) Prec@5 94.531 (90.774) Test: [130/391] Time 0.102 (0.117) Loss 0.7275 (1.1863) Prec@1 85.156 (69.305) Prec@5 93.750 (90.828) Test: [140/391] Time 0.108 (0.116) Loss 1.6367 (1.1885) Prec@1 57.812 (69.221) Prec@5 86.719 (90.797) Test: [150/391] Time 0.108 (0.116) Loss 1.0874 (1.1938) Prec@1 67.188 (69.210) Prec@5 92.969 (90.656) Test: [160/391] Time 0.117 (0.116) Loss 1.2413 (1.1945) Prec@1 65.625 (69.298) Prec@5 89.062 (90.572) Test: [170/391] Time 0.106 (0.115) Loss 1.9011 (1.2297) Prec@1 55.469 (68.736) Prec@5 84.375 (90.054) Test: [180/391] Time 0.110 (0.115) Loss 2.4516 (1.2677) Prec@1 46.875 (68.098) Prec@5 76.562 (89.524) Test: [190/391] Time 0.107 (0.114) Loss 2.8707 (1.3111) Prec@1 40.625 (67.400) Prec@5 74.219 (88.874) Test: [200/391] Time 0.103 (0.114) Loss 1.3835 (1.3454) Prec@1 69.531 (66.822) Prec@5 85.156 (88.390) Test: [210/391] Time 0.106 (0.114) Loss 1.7278 (1.3655) Prec@1 60.938 (66.421) Prec@5 85.938 (88.107) Test: [220/391] Time 0.108 (0.113) Loss 0.7891 (1.3722) Prec@1 80.469 (66.374) Prec@5 92.188 (87.907) Test: [230/391] Time 0.104 (0.113) Loss 2.2691 (1.3861) Prec@1 53.125 (66.186) Prec@5 75.000 (87.706) Test: [240/391] Time 0.103 (0.113) Loss 1.7297 (1.3961) Prec@1 66.406 (66.056) Prec@5 78.125 (87.506) Test: [250/391] Time 0.099 (0.113) Loss 1.0023 (1.4234) Prec@1 78.906 (65.516) Prec@5 89.062 (87.098) Test: [260/391] Time 0.108 (0.113) Loss 2.0092 (1.4426) Prec@1 49.219 (65.107) Prec@5 80.469 (86.901) Test: [270/391] Time 0.106 (0.112) Loss 2.3506 (1.4578) Prec@1 42.188 (64.754) Prec@5 74.219 (86.652) Test: [280/391] Time 0.102 (0.112) Loss 1.7387 (1.4694) Prec@1 54.688 (64.563) Prec@5 85.156 (86.507) Test: [290/391] Time 0.104 (0.112) Loss 1.7475 (1.4844) Prec@1 53.125 (64.301) Prec@5 84.375 (86.252) Test: [300/391] Time 0.097 (0.112) Loss 1.5356 (1.4986) Prec@1 71.875 (63.995) Prec@5 84.375 (86.036) Test: [310/391] Time 0.105 (0.112) Loss 1.7823 (1.5089) Prec@1 62.500 (63.814) Prec@5 83.594 (85.877) Test: [320/391] Time 0.101 (0.111) Loss 1.0862 (1.5193) Prec@1 75.000 (63.595) Prec@5 94.531 (85.753) Test: [330/391] Time 0.102 (0.111) Loss 2.4810 (1.5404) Prec@1 51.562 (63.166) Prec@5 68.750 (85.414) Test: [340/391] Time 0.103 (0.111) Loss 1.4289 (1.5499) Prec@1 50.781 (62.908) Prec@5 92.969 (85.307) Test: [350/391] Time 0.112 (0.111) Loss 1.5982 (1.5555) Prec@1 63.281 (62.789) Prec@5 82.812 (85.210) Test: [360/391] Time 0.102 (0.111) Loss 1.9046 (1.5650) Prec@1 50.000 (62.615) Prec@5 85.156 (85.130) Test: [370/391] Time 0.102 (0.111) Loss 1.5668 (1.5576) Prec@1 57.031 (62.770) Prec@5 92.188 (85.240) Test: [380/391] Time 0.097 (0.111) Loss 1.1850 (1.5596) Prec@1 69.531 (62.732) Prec@5 91.406 (85.224) Test: [390/391] Time 0.068 (0.111) Loss 2.2445 (1.5508) Prec@1 50.000 (62.940) Prec@5 78.750 (85.348) * Prec@1 62.940 Prec@5 85.348 Epoch: [40][0/10010] Time 2.526 (2.526) Data 2.344 (2.344) Loss 1.9740 (1.9740) Prec@1 53.125 (53.125) Prec@5 78.906 (78.906) Epoch: [40][10/10010] Time 0.318 (0.519) Data 0.001 (0.214) Loss 1.8921 (1.7967) Prec@1 53.125 (58.026) Prec@5 78.906 (81.108) Epoch: [40][20/10010] Time 0.317 (0.423) Data 0.001 (0.112) Loss 1.6897 (1.8302) Prec@1 57.812 (57.961) Prec@5 81.250 (80.208) Epoch: [40][30/10010] Time 0.337 (0.390) Data 0.001 (0.076) Loss 1.8040 (1.7882) Prec@1 59.375 (59.173) Prec@5 83.594 (80.595) Epoch: [40][40/10010] Time 0.326 (0.373) Data 0.000 (0.058) Loss 1.6712 (1.7768) Prec@1 57.031 (59.261) Prec@5 84.375 (81.098) Epoch: [40][50/10010] Time 0.339 (0.363) Data 0.001 (0.047) Loss 2.1854 (1.7786) Prec@1 53.125 (59.589) Prec@5 72.656 (81.081) Epoch: [40][60/10010] Time 0.331 (0.359) Data 0.001 (0.039) Loss 1.6506 (1.7733) Prec@1 64.062 (59.836) Prec@5 81.250 (81.122) Epoch: [40][70/10010] Time 0.333 (0.355) Data 0.001 (0.034) Loss 1.8518 (1.7738) Prec@1 58.594 (59.903) Prec@5 82.812 (81.393) Epoch: [40][80/10010] Time 0.338 (0.352) Data 0.001 (0.030) Loss 1.9580 (1.7762) Prec@1 50.781 (59.751) Prec@5 77.344 (81.433) Epoch: [40][90/10010] Time 0.342 (0.351) Data 0.001 (0.026) Loss 1.5171 (1.7687) Prec@1 58.594 (59.787) Prec@5 84.375 (81.413) Epoch: [40][100/10010] Time 0.328 (0.349) Data 0.001 (0.024) Loss 1.5800 (1.7686) Prec@1 59.375 (59.746) Prec@5 85.938 (81.451) Epoch: [40][110/10010] Time 0.327 (0.347) Data 0.001 (0.022) Loss 1.9142 (1.7647) Prec@1 57.031 (59.797) Prec@5 76.562 (81.482) Epoch: [40][120/10010] Time 0.337 (0.346) Data 0.000 (0.020) Loss 1.8205 (1.7579) Prec@1 54.688 (59.801) Prec@5 78.906 (81.586) Epoch: [40][130/10010] Time 0.328 (0.345) Data 0.000 (0.019) Loss 1.9166 (1.7632) Prec@1 55.469 (59.733) Prec@5 79.688 (81.512) Epoch: [40][140/10010] Time 0.337 (0.344) Data 0.001 (0.017) Loss 1.4928 (1.7667) Prec@1 64.844 (59.818) Prec@5 85.156 (81.389) Epoch: [40][150/10010] Time 0.321 (0.343) Data 0.000 (0.016) Loss 1.8592 (1.7671) Prec@1 57.812 (59.820) Prec@5 81.250 (81.410) Epoch: [40][160/10010] Time 0.337 (0.341) Data 0.000 (0.015) Loss 1.7198 (1.7729) Prec@1 66.406 (59.753) Prec@5 81.250 (81.279) Epoch: [40][170/10010] Time 0.337 (0.340) Data 0.001 (0.014) Loss 1.6730 (1.7735) Prec@1 57.031 (59.736) Prec@5 85.156 (81.245) Epoch: [40][180/10010] Time 0.331 (0.340) Data 0.001 (0.014) Loss 1.5370 (1.7728) Prec@1 64.844 (59.729) Prec@5 85.156 (81.285) Epoch: [40][190/10010] Time 0.334 (0.339) Data 0.000 (0.013) Loss 1.6991 (1.7762) Prec@1 66.406 (59.727) Prec@5 82.031 (81.209) Epoch: [40][200/10010] Time 0.319 (0.339) Data 0.000 (0.012) Loss 1.9509 (1.7802) Prec@1 53.906 (59.709) Prec@5 80.469 (81.211) Epoch: [40][210/10010] Time 0.322 (0.338) Data 0.001 (0.012) Loss 1.5252 (1.7797) Prec@1 67.969 (59.690) Prec@5 86.719 (81.276) Epoch: [40][220/10010] Time 0.334 (0.337) Data 0.001 (0.011) Loss 2.2053 (1.7798) Prec@1 54.688 (59.647) Prec@5 73.438 (81.264) Epoch: [40][230/10010] Time 0.336 (0.337) Data 0.001 (0.011) Loss 1.4693 (1.7771) Prec@1 63.281 (59.703) Prec@5 85.156 (81.267) Epoch: [40][240/10010] Time 0.341 (0.336) Data 0.000 (0.010) Loss 2.0531 (1.7765) Prec@1 56.250 (59.699) Prec@5 78.906 (81.292) Epoch: [40][250/10010] Time 0.333 (0.336) Data 0.001 (0.010) Loss 1.8445 (1.7775) Prec@1 60.156 (59.680) Prec@5 76.562 (81.256) Epoch: [40][260/10010] Time 0.309 (0.335) Data 0.001 (0.010) Loss 1.6000 (1.7756) Prec@1 64.844 (59.749) Prec@5 81.250 (81.286) Epoch: [40][270/10010] Time 0.337 (0.335) Data 0.001 (0.009) Loss 1.8116 (1.7777) Prec@1 60.938 (59.698) Prec@5 82.031 (81.267) Epoch: [40][280/10010] Time 0.326 (0.335) Data 0.001 (0.009) Loss 2.0552 (1.7800) Prec@1 58.594 (59.603) Prec@5 74.219 (81.222) Epoch: [40][290/10010] Time 0.315 (0.335) Data 0.001 (0.009) Loss 1.7884 (1.7812) Prec@1 57.031 (59.582) Prec@5 83.594 (81.207) Epoch: [40][300/10010] Time 0.332 (0.335) Data 0.001 (0.008) Loss 1.8050 (1.7808) Prec@1 59.375 (59.585) Prec@5 82.031 (81.177) Epoch: [40][310/10010] Time 0.315 (0.334) Data 0.001 (0.008) Loss 1.7518 (1.7820) Prec@1 57.031 (59.473) Prec@5 79.688 (81.165) Epoch: [40][320/10010] Time 0.318 (0.334) Data 0.001 (0.008) Loss 1.8779 (1.7842) Prec@1 63.281 (59.460) Prec@5 78.125 (81.128) Epoch: [40][330/10010] Time 0.323 (0.334) Data 0.001 (0.008) Loss 1.7599 (1.7839) Prec@1 65.625 (59.462) Prec@5 78.906 (81.141) Epoch: [40][340/10010] Time 0.326 (0.333) Data 0.001 (0.008) Loss 1.8695 (1.7831) Prec@1 58.594 (59.435) Prec@5 78.125 (81.149) Epoch: [40][350/10010] Time 0.316 (0.333) Data 0.001 (0.007) Loss 1.6254 (1.7814) Prec@1 64.844 (59.491) Prec@5 84.375 (81.177) Epoch: [40][360/10010] Time 0.335 (0.333) Data 0.001 (0.007) Loss 1.8321 (1.7820) Prec@1 62.500 (59.485) Prec@5 78.906 (81.161) Epoch: [40][370/10010] Time 0.317 (0.332) Data 0.000 (0.007) Loss 1.5778 (1.7849) Prec@1 61.719 (59.438) Prec@5 89.062 (81.149) Epoch: [40][380/10010] Time 0.337 (0.332) Data 0.001 (0.007) Loss 1.9806 (1.7849) Prec@1 55.469 (59.445) Prec@5 78.906 (81.156) Epoch: [40][390/10010] Time 0.332 (0.332) Data 0.001 (0.007) Loss 1.6763 (1.7858) Prec@1 57.812 (59.377) Prec@5 84.375 (81.144) Epoch: [40][400/10010] Time 0.317 (0.332) Data 0.001 (0.006) Loss 1.9825 (1.7884) Prec@1 60.938 (59.352) Prec@5 77.344 (81.119) Epoch: [40][410/10010] Time 0.338 (0.332) Data 0.001 (0.006) Loss 1.4162 (1.7883) Prec@1 63.281 (59.320) Prec@5 85.938 (81.092) Epoch: [40][420/10010] Time 0.336 (0.332) Data 0.001 (0.006) Loss 1.9546 (1.7885) Prec@1 58.594 (59.336) Prec@5 74.219 (81.094) Epoch: [40][430/10010] Time 0.336 (0.332) Data 0.001 (0.006) Loss 1.8925 (1.7878) Prec@1 55.469 (59.346) Prec@5 80.469 (81.105) Epoch: [40][440/10010] Time 0.317 (0.331) Data 0.001 (0.006) Loss 1.5611 (1.7851) Prec@1 65.625 (59.396) Prec@5 85.156 (81.161) Epoch: [40][450/10010] Time 0.330 (0.331) Data 0.001 (0.006) Loss 1.6840 (1.7847) Prec@1 55.469 (59.415) Prec@5 84.375 (81.184) Epoch: [40][460/10010] Time 0.318 (0.331) Data 0.000 (0.006) Loss 1.8756 (1.7887) Prec@1 54.688 (59.314) Prec@5 80.469 (81.104) Epoch: [40][470/10010] Time 0.329 (0.331) Data 0.001 (0.006) Loss 1.6188 (1.7895) Prec@1 62.500 (59.312) Prec@5 81.250 (81.082) Epoch: [40][480/10010] Time 0.327 (0.331) Data 0.001 (0.006) Loss 1.6708 (1.7875) Prec@1 60.938 (59.344) Prec@5 84.375 (81.123) Epoch: [40][490/10010] Time 0.322 (0.331) Data 0.001 (0.005) Loss 1.8311 (1.7895) Prec@1 57.812 (59.300) Prec@5 80.469 (81.080) Epoch: [40][500/10010] Time 0.317 (0.331) Data 0.001 (0.005) Loss 1.7460 (1.7906) Prec@1 61.719 (59.283) Prec@5 80.469 (81.057) Epoch: [40][510/10010] Time 0.329 (0.331) Data 0.001 (0.005) Loss 1.9100 (1.7899) Prec@1 55.469 (59.303) Prec@5 77.344 (81.045) Epoch: [40][520/10010] Time 0.325 (0.330) Data 0.000 (0.005) Loss 1.3790 (1.7884) Prec@1 67.188 (59.323) Prec@5 85.156 (81.066) Epoch: [40][530/10010] Time 0.338 (0.330) Data 0.001 (0.005) Loss 1.5076 (1.7868) Prec@1 62.500 (59.357) Prec@5 84.375 (81.079) Epoch: [40][540/10010] Time 0.325 (0.330) Data 0.001 (0.005) Loss 1.6675 (1.7850) Prec@1 59.375 (59.401) Prec@5 83.594 (81.108) Epoch: [40][550/10010] Time 0.313 (0.330) Data 0.000 (0.005) Loss 2.0747 (1.7859) Prec@1 57.812 (59.359) Prec@5 78.906 (81.097) Epoch: [40][560/10010] Time 0.336 (0.330) Data 0.001 (0.005) Loss 2.2792 (1.7859) Prec@1 50.781 (59.360) Prec@5 71.875 (81.098) Epoch: [40][570/10010] Time 0.318 (0.330) Data 0.001 (0.005) Loss 1.9394 (1.7860) Prec@1 57.812 (59.352) Prec@5 81.250 (81.110) Epoch: [40][580/10010] Time 0.321 (0.330) Data 0.001 (0.005) Loss 1.4355 (1.7852) Prec@1 67.969 (59.343) Prec@5 87.500 (81.106) Epoch: [40][590/10010] Time 0.314 (0.330) Data 0.001 (0.005) Loss 1.7588 (1.7861) Prec@1 60.938 (59.339) Prec@5 82.812 (81.066) Epoch: [40][600/10010] Time 0.338 (0.330) Data 0.000 (0.005) Loss 2.0589 (1.7870) Prec@1 53.906 (59.297) Prec@5 79.688 (81.050) Epoch: [40][610/10010] Time 0.330 (0.330) Data 0.001 (0.004) Loss 1.7666 (1.7866) Prec@1 59.375 (59.273) Prec@5 79.688 (81.047) Epoch: [40][620/10010] Time 0.326 (0.330) Data 0.001 (0.004) Loss 1.7038 (1.7865) Prec@1 56.250 (59.247) Prec@5 79.688 (81.031) Epoch: [40][630/10010] Time 0.324 (0.330) Data 0.001 (0.004) Loss 1.8235 (1.7876) Prec@1 58.594 (59.249) Prec@5 82.031 (81.020) Epoch: [40][640/10010] Time 0.339 (0.330) Data 0.000 (0.004) Loss 1.7074 (1.7891) Prec@1 62.500 (59.238) Prec@5 79.688 (80.977) Epoch: [40][650/10010] Time 0.332 (0.330) Data 0.001 (0.004) Loss 1.8342 (1.7898) Prec@1 64.062 (59.224) Prec@5 81.250 (80.963) Epoch: [40][660/10010] Time 0.330 (0.330) Data 0.000 (0.004) Loss 1.8464 (1.7893) Prec@1 58.594 (59.218) Prec@5 79.688 (80.973) Epoch: [40][670/10010] Time 0.339 (0.330) Data 0.001 (0.004) Loss 1.7470 (1.7899) Prec@1 60.156 (59.214) Prec@5 81.250 (80.962) Epoch: [40][680/10010] Time 0.345 (0.330) Data 0.001 (0.004) Loss 1.9170 (1.7896) Prec@1 53.906 (59.238) Prec@5 78.906 (80.979) Epoch: [40][690/10010] Time 0.317 (0.330) Data 0.001 (0.004) Loss 1.5547 (1.7902) Prec@1 62.500 (59.223) Prec@5 87.500 (80.985) Epoch: [40][700/10010] Time 0.328 (0.330) Data 0.001 (0.004) Loss 1.9321 (1.7911) Prec@1 57.812 (59.196) Prec@5 79.688 (80.970) Epoch: [40][710/10010] Time 0.318 (0.330) Data 0.001 (0.004) Loss 1.6281 (1.7896) Prec@1 67.969 (59.229) Prec@5 81.250 (80.977) Epoch: [40][720/10010] Time 0.338 (0.330) Data 0.001 (0.004) Loss 1.8476 (1.7894) Prec@1 57.031 (59.218) Prec@5 78.125 (80.963) Epoch: [40][730/10010] Time 0.322 (0.330) Data 0.000 (0.004) Loss 1.9510 (1.7884) Prec@1 51.562 (59.222) Prec@5 80.469 (80.987) Epoch: [40][740/10010] Time 0.321 (0.330) Data 0.000 (0.004) Loss 1.6397 (1.7885) Prec@1 67.969 (59.237) Prec@5 84.375 (80.987) Epoch: [40][750/10010] Time 0.338 (0.330) Data 0.000 (0.004) Loss 1.9683 (1.7887) Prec@1 56.250 (59.246) Prec@5 75.781 (80.982) Epoch: [40][760/10010] Time 0.323 (0.330) Data 0.000 (0.004) Loss 2.0911 (1.7899) Prec@1 57.812 (59.224) Prec@5 77.344 (80.964) Epoch: [40][770/10010] Time 0.325 (0.329) Data 0.000 (0.004) Loss 1.8253 (1.7909) Prec@1 52.344 (59.207) Prec@5 82.812 (80.961) Epoch: [40][780/10010] Time 0.316 (0.329) Data 0.001 (0.004) Loss 1.7683 (1.7927) Prec@1 59.375 (59.177) Prec@5 85.156 (80.934) Epoch: [40][790/10010] Time 0.333 (0.329) Data 0.001 (0.004) Loss 1.9371 (1.7933) Prec@1 54.688 (59.176) Prec@5 79.688 (80.935) Epoch: [40][800/10010] Time 0.335 (0.329) Data 0.001 (0.004) Loss 1.6530 (1.7927) Prec@1 64.062 (59.182) Prec@5 82.812 (80.953) Epoch: [40][810/10010] Time 0.318 (0.329) Data 0.001 (0.004) Loss 1.8355 (1.7916) Prec@1 54.688 (59.214) Prec@5 79.688 (80.964) Epoch: [40][820/10010] Time 0.336 (0.329) Data 0.001 (0.004) Loss 1.9405 (1.7918) Prec@1 56.250 (59.212) Prec@5 76.562 (80.964) Epoch: [40][830/10010] Time 0.321 (0.329) Data 0.000 (0.003) Loss 1.5944 (1.7919) Prec@1 64.062 (59.218) Prec@5 82.812 (80.965) Epoch: [40][840/10010] Time 0.317 (0.329) Data 0.000 (0.003) Loss 1.5977 (1.7920) Prec@1 60.938 (59.224) Prec@5 86.719 (80.965) Epoch: [40][850/10010] Time 0.340 (0.329) Data 0.000 (0.003) Loss 1.8683 (1.7919) Prec@1 57.812 (59.223) Prec@5 78.906 (80.965) Epoch: [40][860/10010] Time 0.321 (0.329) Data 0.001 (0.003) Loss 2.2564 (1.7924) Prec@1 49.219 (59.211) Prec@5 73.438 (80.952) Epoch: [40][870/10010] Time 0.319 (0.329) Data 0.001 (0.003) Loss 1.9615 (1.7927) Prec@1 57.031 (59.205) Prec@5 77.344 (80.940) Epoch: [40][880/10010] Time 0.336 (0.329) Data 0.000 (0.003) Loss 1.9982 (1.7932) Prec@1 55.469 (59.190) Prec@5 77.344 (80.932) Epoch: [40][890/10010] Time 0.318 (0.329) Data 0.001 (0.003) Loss 2.1281 (1.7938) Prec@1 56.250 (59.203) Prec@5 77.344 (80.908) Epoch: [40][900/10010] Time 0.330 (0.329) Data 0.000 (0.003) Loss 2.0374 (1.7943) Prec@1 57.812 (59.202) Prec@5 78.125 (80.905) Epoch: [40][910/10010] Time 0.334 (0.329) Data 0.001 (0.003) Loss 1.8201 (1.7942) Prec@1 55.469 (59.191) Prec@5 80.469 (80.911) Epoch: [40][920/10010] Time 0.317 (0.329) Data 0.001 (0.003) Loss 1.8957 (1.7939) Prec@1 54.688 (59.185) Prec@5 75.000 (80.901) Epoch: [40][930/10010] Time 0.304 (0.329) Data 0.001 (0.003) Loss 1.7097 (1.7931) Prec@1 59.375 (59.208) Prec@5 83.594 (80.906) Epoch: [40][940/10010] Time 0.321 (0.329) Data 0.001 (0.003) Loss 1.7321 (1.7940) Prec@1 60.156 (59.207) Prec@5 79.688 (80.883) Epoch: [40][950/10010] Time 0.327 (0.329) Data 0.001 (0.003) Loss 2.0379 (1.7951) Prec@1 54.688 (59.201) Prec@5 78.906 (80.880) Epoch: [40][960/10010] Time 0.319 (0.329) Data 0.001 (0.003) Loss 1.6464 (1.7942) Prec@1 59.375 (59.205) Prec@5 81.250 (80.895) Epoch: [40][970/10010] Time 0.314 (0.329) Data 0.001 (0.003) Loss 1.9262 (1.7954) Prec@1 58.594 (59.185) Prec@5 81.250 (80.881) Epoch: [40][980/10010] Time 0.320 (0.329) Data 0.001 (0.003) Loss 1.5073 (1.7951) Prec@1 67.969 (59.200) Prec@5 86.719 (80.891) Epoch: [40][990/10010] Time 0.335 (0.329) Data 0.001 (0.003) Loss 1.7695 (1.7948) Prec@1 65.625 (59.209) Prec@5 84.375 (80.900) Epoch: [40][1000/10010] Time 0.320 (0.329) Data 0.001 (0.003) Loss 1.7620 (1.7941) Prec@1 61.719 (59.231) Prec@5 79.688 (80.892) Epoch: [40][1010/10010] Time 0.330 (0.329) Data 0.001 (0.003) Loss 1.6946 (1.7944) Prec@1 66.406 (59.230) Prec@5 81.250 (80.891) Epoch: [40][1020/10010] Time 0.333 (0.329) Data 0.000 (0.003) Loss 1.8148 (1.7945) Prec@1 55.469 (59.218) Prec@5 82.031 (80.891) Epoch: [40][1030/10010] Time 0.337 (0.329) Data 0.001 (0.003) Loss 1.9335 (1.7935) Prec@1 57.031 (59.221) Prec@5 76.562 (80.906) Epoch: [40][1040/10010] Time 0.325 (0.329) Data 0.001 (0.003) Loss 1.9955 (1.7929) Prec@1 57.031 (59.227) Prec@5 80.469 (80.914) Epoch: [40][1050/10010] Time 0.317 (0.329) Data 0.001 (0.003) Loss 1.7274 (1.7924) Prec@1 64.844 (59.240) Prec@5 77.344 (80.926) Epoch: [40][1060/10010] Time 0.329 (0.329) Data 0.001 (0.003) Loss 1.4690 (1.7917) Prec@1 65.625 (59.253) Prec@5 83.594 (80.946) Epoch: [40][1070/10010] Time 0.340 (0.329) Data 0.001 (0.003) Loss 1.9098 (1.7919) Prec@1 57.812 (59.248) Prec@5 78.906 (80.954) Epoch: [40][1080/10010] Time 0.313 (0.329) Data 0.000 (0.003) Loss 1.7584 (1.7911) Prec@1 60.156 (59.265) Prec@5 82.812 (80.959) Epoch: [40][1090/10010] Time 0.312 (0.329) Data 0.001 (0.003) Loss 1.6663 (1.7911) Prec@1 59.375 (59.273) Prec@5 83.594 (80.950) Epoch: [40][1100/10010] Time 0.319 (0.329) Data 0.000 (0.003) Loss 1.7476 (1.7909) Prec@1 66.406 (59.281) Prec@5 81.250 (80.958) Epoch: [40][1110/10010] Time 0.322 (0.328) Data 0.001 (0.003) Loss 1.8037 (1.7907) Prec@1 53.906 (59.274) Prec@5 82.812 (80.960) Epoch: [40][1120/10010] Time 0.328 (0.328) Data 0.001 (0.003) Loss 1.7521 (1.7906) Prec@1 60.156 (59.277) Prec@5 81.250 (80.957) Epoch: [40][1130/10010] Time 0.338 (0.328) Data 0.001 (0.003) Loss 1.8336 (1.7909) Prec@1 57.812 (59.262) Prec@5 82.812 (80.954) Epoch: [40][1140/10010] Time 0.331 (0.328) Data 0.000 (0.003) Loss 2.1748 (1.7912) Prec@1 50.000 (59.258) Prec@5 75.781 (80.949) Epoch: [40][1150/10010] Time 0.340 (0.328) Data 0.001 (0.003) Loss 1.8472 (1.7919) Prec@1 58.594 (59.248) Prec@5 81.250 (80.940) Epoch: [40][1160/10010] Time 0.313 (0.328) Data 0.000 (0.003) Loss 1.6884 (1.7920) Prec@1 63.281 (59.256) Prec@5 82.031 (80.930) Epoch: [40][1170/10010] Time 0.333 (0.328) Data 0.001 (0.003) Loss 1.5450 (1.7918) Prec@1 67.188 (59.268) Prec@5 82.812 (80.937) Epoch: [40][1180/10010] Time 0.313 (0.328) Data 0.001 (0.003) Loss 1.8682 (1.7909) Prec@1 60.938 (59.278) Prec@5 78.125 (80.951) Epoch: [40][1190/10010] Time 0.328 (0.329) Data 0.001 (0.003) Loss 1.8153 (1.7912) Prec@1 58.594 (59.266) Prec@5 79.688 (80.939) Epoch: [40][1200/10010] Time 0.322 (0.328) Data 0.001 (0.003) Loss 1.7813 (1.7917) Prec@1 59.375 (59.253) Prec@5 80.469 (80.938) Epoch: [40][1210/10010] Time 0.339 (0.328) Data 0.001 (0.003) Loss 1.8426 (1.7919) Prec@1 62.500 (59.259) Prec@5 79.688 (80.944) Epoch: [40][1220/10010] Time 0.335 (0.328) Data 0.001 (0.003) Loss 1.9287 (1.7929) Prec@1 57.031 (59.245) Prec@5 79.688 (80.931) Epoch: [40][1230/10010] Time 0.323 (0.329) Data 0.000 (0.003) Loss 1.9181 (1.7933) Prec@1 58.594 (59.250) Prec@5 77.344 (80.930) Epoch: [40][1240/10010] Time 0.321 (0.328) Data 0.000 (0.003) Loss 1.9015 (1.7936) Prec@1 55.469 (59.240) Prec@5 78.125 (80.927) Epoch: [40][1250/10010] Time 0.333 (0.328) Data 0.001 (0.003) Loss 1.9101 (1.7934) Prec@1 59.375 (59.253) Prec@5 78.906 (80.927) Epoch: [40][1260/10010] Time 0.340 (0.328) Data 0.001 (0.003) Loss 1.8151 (1.7939) Prec@1 58.594 (59.237) Prec@5 82.812 (80.927) Epoch: [40][1270/10010] Time 0.334 (0.328) Data 0.001 (0.003) Loss 1.8220 (1.7941) Prec@1 63.281 (59.237) Prec@5 78.906 (80.925) Epoch: [40][1280/10010] Time 0.339 (0.328) Data 0.001 (0.002) Loss 1.6524 (1.7943) Prec@1 61.719 (59.238) Prec@5 80.469 (80.917) Epoch: [40][1290/10010] Time 0.327 (0.328) Data 0.001 (0.002) Loss 2.0818 (1.7940) Prec@1 55.469 (59.259) Prec@5 76.562 (80.920) Epoch: [40][1300/10010] Time 0.340 (0.329) Data 0.001 (0.002) Loss 1.8518 (1.7939) Prec@1 59.375 (59.263) Prec@5 80.469 (80.916) Epoch: [40][1310/10010] Time 0.337 (0.329) Data 0.001 (0.002) Loss 1.6830 (1.7946) Prec@1 64.844 (59.254) Prec@5 79.688 (80.904) Epoch: [40][1320/10010] Time 0.324 (0.329) Data 0.000 (0.002) Loss 1.5580 (1.7945) Prec@1 62.500 (59.254) Prec@5 81.250 (80.906) Epoch: [40][1330/10010] Time 0.336 (0.329) Data 0.001 (0.002) Loss 1.8633 (1.7949) Prec@1 56.250 (59.254) Prec@5 81.250 (80.904) Epoch: [40][1340/10010] Time 0.313 (0.329) Data 0.001 (0.002) Loss 1.5844 (1.7954) Prec@1 68.750 (59.246) Prec@5 83.594 (80.895) Epoch: [40][1350/10010] Time 0.322 (0.329) Data 0.000 (0.002) Loss 1.7063 (1.7945) Prec@1 59.375 (59.262) Prec@5 80.469 (80.904) Epoch: [40][1360/10010] Time 0.311 (0.329) Data 0.001 (0.002) Loss 1.8226 (1.7946) Prec@1 53.906 (59.258) Prec@5 81.250 (80.915) Epoch: [40][1370/10010] Time 0.338 (0.328) Data 0.001 (0.002) Loss 1.9973 (1.7944) Prec@1 57.031 (59.259) Prec@5 75.781 (80.918) Epoch: [40][1380/10010] Time 0.320 (0.329) Data 0.001 (0.002) Loss 1.9496 (1.7944) Prec@1 61.719 (59.274) Prec@5 79.688 (80.917) Epoch: [40][1390/10010] Time 0.315 (0.328) Data 0.000 (0.002) Loss 1.6956 (1.7948) Prec@1 63.281 (59.261) Prec@5 82.031 (80.910) Epoch: [40][1400/10010] Time 0.334 (0.329) Data 0.001 (0.002) Loss 1.6701 (1.7943) Prec@1 56.250 (59.264) Prec@5 85.938 (80.917) Epoch: [40][1410/10010] Time 0.321 (0.328) Data 0.000 (0.002) Loss 1.5806 (1.7944) Prec@1 63.281 (59.265) Prec@5 87.500 (80.916) Epoch: [40][1420/10010] Time 0.317 (0.328) Data 0.001 (0.002) Loss 2.0302 (1.7950) Prec@1 57.812 (59.259) Prec@5 78.125 (80.915) Epoch: [40][1430/10010] Time 0.331 (0.328) Data 0.000 (0.002) Loss 2.1506 (1.7955) Prec@1 53.125 (59.255) Prec@5 76.562 (80.907) Epoch: [40][1440/10010] Time 0.319 (0.328) Data 0.001 (0.002) Loss 2.1136 (1.7957) Prec@1 56.250 (59.251) Prec@5 71.875 (80.906) Epoch: [40][1450/10010] Time 0.338 (0.328) Data 0.001 (0.002) Loss 1.5816 (1.7951) Prec@1 61.719 (59.255) Prec@5 81.250 (80.912) Epoch: [40][1460/10010] Time 0.331 (0.328) Data 0.001 (0.002) Loss 1.7299 (1.7954) Prec@1 62.500 (59.250) Prec@5 81.250 (80.915) Epoch: [40][1470/10010] Time 0.336 (0.328) Data 0.000 (0.002) Loss 2.0455 (1.7964) Prec@1 58.594 (59.234) Prec@5 81.250 (80.904) Epoch: [40][1480/10010] Time 0.324 (0.328) Data 0.000 (0.002) Loss 1.6956 (1.7958) Prec@1 60.156 (59.246) Prec@5 81.250 (80.921) Epoch: [40][1490/10010] Time 0.319 (0.328) Data 0.001 (0.002) Loss 1.6341 (1.7953) Prec@1 60.156 (59.252) Prec@5 82.812 (80.929) Epoch: [40][1500/10010] Time 0.333 (0.328) Data 0.001 (0.002) Loss 1.7579 (1.7955) Prec@1 58.594 (59.251) Prec@5 82.031 (80.921) Epoch: [40][1510/10010] Time 0.334 (0.328) Data 0.000 (0.002) Loss 1.7523 (1.7952) Prec@1 63.281 (59.256) Prec@5 78.906 (80.923) Epoch: [40][1520/10010] Time 0.320 (0.328) Data 0.001 (0.002) Loss 1.8436 (1.7950) Prec@1 63.281 (59.254) Prec@5 79.688 (80.939) Epoch: [40][1530/10010] Time 0.335 (0.328) Data 0.001 (0.002) Loss 1.8323 (1.7952) Prec@1 59.375 (59.246) Prec@5 82.031 (80.935) Epoch: [40][1540/10010] Time 0.334 (0.328) Data 0.001 (0.002) Loss 1.7772 (1.7955) Prec@1 61.719 (59.247) Prec@5 85.938 (80.931) Epoch: [40][1550/10010] Time 0.323 (0.328) Data 0.001 (0.002) Loss 1.8468 (1.7956) Prec@1 53.906 (59.230) Prec@5 81.250 (80.928) Epoch: [40][1560/10010] Time 0.343 (0.328) Data 0.000 (0.002) Loss 1.7407 (1.7962) Prec@1 60.156 (59.211) Prec@5 78.906 (80.923) Epoch: [40][1570/10010] Time 0.322 (0.328) Data 0.001 (0.002) Loss 1.5953 (1.7961) Prec@1 62.500 (59.211) Prec@5 82.812 (80.930) Epoch: [40][1580/10010] Time 0.313 (0.328) Data 0.001 (0.002) Loss 1.7173 (1.7961) Prec@1 62.500 (59.213) Prec@5 84.375 (80.931) Epoch: [40][1590/10010] Time 0.338 (0.328) Data 0.001 (0.002) Loss 1.7484 (1.7960) Prec@1 60.938 (59.212) Prec@5 78.906 (80.931) Epoch: [40][1600/10010] Time 0.324 (0.328) Data 0.001 (0.002) Loss 1.9151 (1.7954) Prec@1 53.125 (59.226) Prec@5 75.781 (80.943) Epoch: [40][1610/10010] Time 0.322 (0.328) Data 0.001 (0.002) Loss 1.5348 (1.7948) Prec@1 62.500 (59.241) Prec@5 87.500 (80.951) Epoch: [40][1620/10010] Time 0.317 (0.328) Data 0.001 (0.002) Loss 1.7953 (1.7948) Prec@1 60.938 (59.246) Prec@5 80.469 (80.955) Epoch: [40][1630/10010] Time 0.318 (0.328) Data 0.000 (0.002) Loss 1.5552 (1.7950) Prec@1 67.969 (59.253) Prec@5 82.031 (80.949) Epoch: [40][1640/10010] Time 0.322 (0.328) Data 0.001 (0.002) Loss 1.8446 (1.7951) Prec@1 57.812 (59.255) Prec@5 80.469 (80.944) Epoch: [40][1650/10010] Time 0.332 (0.328) Data 0.001 (0.002) Loss 1.4783 (1.7945) Prec@1 63.281 (59.262) Prec@5 85.938 (80.960) Epoch: [40][1660/10010] Time 0.338 (0.328) Data 0.001 (0.002) Loss 2.0092 (1.7948) Prec@1 55.469 (59.263) Prec@5 78.125 (80.958) Epoch: [40][1670/10010] Time 0.338 (0.328) Data 0.001 (0.002) Loss 1.8989 (1.7944) Prec@1 55.469 (59.270) Prec@5 80.469 (80.958) Epoch: [40][1680/10010] Time 0.337 (0.329) Data 0.001 (0.002) Loss 1.6218 (1.7947) Prec@1 62.500 (59.266) Prec@5 85.938 (80.955) Epoch: [40][1690/10010] Time 0.311 (0.328) Data 0.001 (0.002) Loss 1.6764 (1.7949) Prec@1 64.062 (59.262) Prec@5 82.031 (80.951) Epoch: [40][1700/10010] Time 0.339 (0.328) Data 0.001 (0.002) Loss 1.6924 (1.7942) Prec@1 64.844 (59.271) Prec@5 80.469 (80.959) Epoch: [40][1710/10010] Time 0.339 (0.328) Data 0.001 (0.002) Loss 2.0635 (1.7940) Prec@1 51.562 (59.275) Prec@5 78.125 (80.965) Epoch: [40][1720/10010] Time 0.340 (0.329) Data 0.001 (0.002) Loss 1.8375 (1.7938) Prec@1 58.594 (59.276) Prec@5 80.469 (80.973) Epoch: [40][1730/10010] Time 0.322 (0.328) Data 0.000 (0.002) Loss 1.9611 (1.7938) Prec@1 57.031 (59.274) Prec@5 78.125 (80.977) Epoch: [40][1740/10010] Time 0.345 (0.329) Data 0.000 (0.002) Loss 1.9114 (1.7939) Prec@1 57.812 (59.278) Prec@5 81.250 (80.975) Epoch: [40][1750/10010] Time 0.341 (0.329) Data 0.000 (0.002) Loss 1.9797 (1.7938) Prec@1 53.125 (59.279) Prec@5 79.688 (80.981) Epoch: [40][1760/10010] Time 0.310 (0.328) Data 0.001 (0.002) Loss 1.7168 (1.7943) Prec@1 59.375 (59.274) Prec@5 84.375 (80.973) Epoch: [40][1770/10010] Time 0.328 (0.329) Data 0.001 (0.002) Loss 1.7288 (1.7944) Prec@1 61.719 (59.275) Prec@5 82.812 (80.973) Epoch: [40][1780/10010] Time 0.341 (0.329) Data 0.001 (0.002) Loss 1.9825 (1.7944) Prec@1 57.031 (59.267) Prec@5 76.562 (80.966) Epoch: [40][1790/10010] Time 0.326 (0.329) Data 0.001 (0.002) Loss 1.7233 (1.7945) Prec@1 62.500 (59.267) Prec@5 82.031 (80.969) Epoch: [40][1800/10010] Time 0.322 (0.328) Data 0.001 (0.002) Loss 1.5979 (1.7949) Prec@1 65.625 (59.267) Prec@5 89.062 (80.967) Epoch: [40][1810/10010] Time 0.336 (0.328) Data 0.001 (0.002) Loss 1.5548 (1.7949) Prec@1 62.500 (59.274) Prec@5 81.250 (80.968) Epoch: [40][1820/10010] Time 0.322 (0.328) Data 0.001 (0.002) Loss 1.8414 (1.7945) Prec@1 54.688 (59.277) Prec@5 80.469 (80.973) Epoch: [40][1830/10010] Time 0.323 (0.328) Data 0.000 (0.002) Loss 1.7134 (1.7953) Prec@1 62.500 (59.264) Prec@5 82.031 (80.965) Epoch: [40][1840/10010] Time 0.314 (0.328) Data 0.001 (0.002) Loss 1.7910 (1.7954) Prec@1 57.031 (59.262) Prec@5 82.812 (80.968) Epoch: [40][1850/10010] Time 0.317 (0.328) Data 0.001 (0.002) Loss 1.4332 (1.7955) Prec@1 65.625 (59.261) Prec@5 86.719 (80.967) Epoch: [40][1860/10010] Time 0.320 (0.328) Data 0.000 (0.002) Loss 1.7423 (1.7954) Prec@1 60.156 (59.262) Prec@5 79.688 (80.967) Epoch: [40][1870/10010] Time 0.331 (0.328) Data 0.001 (0.002) Loss 2.3048 (1.7959) Prec@1 42.188 (59.243) Prec@5 74.219 (80.966) Epoch: [40][1880/10010] Time 0.326 (0.328) Data 0.001 (0.002) Loss 1.8052 (1.7962) Prec@1 57.031 (59.243) Prec@5 81.250 (80.963) Epoch: [40][1890/10010] Time 0.312 (0.328) Data 0.001 (0.002) Loss 1.7884 (1.7963) Prec@1 59.375 (59.235) Prec@5 79.688 (80.956) Epoch: [40][1900/10010] Time 0.333 (0.328) Data 0.001 (0.002) Loss 2.0326 (1.7961) Prec@1 52.344 (59.237) Prec@5 75.781 (80.959) Epoch: [40][1910/10010] Time 0.332 (0.328) Data 0.001 (0.002) Loss 1.5877 (1.7960) Prec@1 64.844 (59.235) Prec@5 82.812 (80.959) Epoch: [40][1920/10010] Time 0.317 (0.328) Data 0.001 (0.002) Loss 1.7557 (1.7960) Prec@1 57.031 (59.233) Prec@5 84.375 (80.958) Epoch: [40][1930/10010] Time 0.326 (0.328) Data 0.000 (0.002) Loss 1.5822 (1.7963) Prec@1 62.500 (59.221) Prec@5 85.938 (80.958) Epoch: [40][1940/10010] Time 0.317 (0.328) Data 0.001 (0.002) Loss 1.9980 (1.7961) Prec@1 59.375 (59.217) Prec@5 80.469 (80.971) Epoch: [40][1950/10010] Time 0.324 (0.328) Data 0.001 (0.002) Loss 1.7893 (1.7964) Prec@1 59.375 (59.208) Prec@5 79.688 (80.969) Epoch: [40][1960/10010] Time 0.317 (0.328) Data 0.001 (0.002) Loss 2.0797 (1.7963) Prec@1 50.000 (59.210) Prec@5 81.250 (80.973) Epoch: [40][1970/10010] Time 0.319 (0.328) Data 0.000 (0.002) Loss 1.6711 (1.7963) Prec@1 62.500 (59.205) Prec@5 82.031 (80.977) Epoch: [40][1980/10010] Time 0.340 (0.328) Data 0.001 (0.002) Loss 2.0633 (1.7969) Prec@1 52.344 (59.191) Prec@5 78.125 (80.965) Epoch: [40][1990/10010] Time 0.332 (0.328) Data 0.001 (0.002) Loss 2.0393 (1.7970) Prec@1 53.125 (59.195) Prec@5 78.906 (80.964) Epoch: [40][2000/10010] Time 0.312 (0.328) Data 0.001 (0.002) Loss 1.6500 (1.7968) Prec@1 59.375 (59.197) Prec@5 83.594 (80.969) Epoch: [40][2010/10010] Time 0.318 (0.328) Data 0.001 (0.002) Loss 1.6719 (1.7967) Prec@1 59.375 (59.199) Prec@5 83.594 (80.972) Epoch: [40][2020/10010] Time 0.332 (0.328) Data 0.001 (0.002) Loss 1.6409 (1.7964) Prec@1 57.812 (59.197) Prec@5 84.375 (80.979) Epoch: [40][2030/10010] Time 0.321 (0.328) Data 0.001 (0.002) Loss 1.8621 (1.7965) Prec@1 55.469 (59.194) Prec@5 79.688 (80.975) Epoch: [40][2040/10010] Time 0.333 (0.328) Data 0.001 (0.002) Loss 1.9029 (1.7965) Prec@1 59.375 (59.197) Prec@5 79.688 (80.972) Epoch: [40][2050/10010] Time 0.338 (0.328) Data 0.000 (0.002) Loss 1.8302 (1.7967) Prec@1 56.250 (59.186) Prec@5 81.250 (80.969) Epoch: [40][2060/10010] Time 0.320 (0.328) Data 0.001 (0.002) Loss 1.8769 (1.7966) Prec@1 53.906 (59.186) Prec@5 78.125 (80.972) Epoch: [40][2070/10010] Time 0.319 (0.328) Data 0.001 (0.002) Loss 1.6179 (1.7969) Prec@1 62.500 (59.183) Prec@5 82.812 (80.971) Epoch: [40][2080/10010] Time 0.325 (0.328) Data 0.001 (0.002) Loss 1.8000 (1.7967) Prec@1 61.719 (59.182) Prec@5 79.688 (80.973) Epoch: [40][2090/10010] Time 0.323 (0.328) Data 0.000 (0.002) Loss 1.7178 (1.7969) Prec@1 57.812 (59.175) Prec@5 78.906 (80.964) Epoch: [40][2100/10010] Time 0.321 (0.328) Data 0.001 (0.002) Loss 2.1792 (1.7973) Prec@1 51.562 (59.167) Prec@5 75.781 (80.960) Epoch: [40][2110/10010] Time 0.314 (0.328) Data 0.001 (0.002) Loss 1.8224 (1.7969) Prec@1 51.562 (59.174) Prec@5 81.250 (80.967) Epoch: [40][2120/10010] Time 0.325 (0.328) Data 0.001 (0.002) Loss 1.7451 (1.7969) Prec@1 64.062 (59.177) Prec@5 82.031 (80.967) Epoch: [40][2130/10010] Time 0.327 (0.328) Data 0.001 (0.002) Loss 1.5862 (1.7969) Prec@1 60.938 (59.178) Prec@5 82.812 (80.969) Epoch: [40][2140/10010] Time 0.333 (0.328) Data 0.001 (0.002) Loss 2.0633 (1.7971) Prec@1 56.250 (59.174) Prec@5 77.344 (80.968) Epoch: [40][2150/10010] Time 0.326 (0.328) Data 0.001 (0.002) Loss 1.7910 (1.7975) Prec@1 57.812 (59.171) Prec@5 79.688 (80.960) Epoch: [40][2160/10010] Time 0.339 (0.328) Data 0.000 (0.002) Loss 1.6578 (1.7975) Prec@1 60.938 (59.178) Prec@5 84.375 (80.965) Epoch: [40][2170/10010] Time 0.320 (0.328) Data 0.000 (0.002) Loss 1.8859 (1.7970) Prec@1 60.938 (59.188) Prec@5 81.250 (80.973) Epoch: [40][2180/10010] Time 0.319 (0.328) Data 0.001 (0.002) Loss 2.0687 (1.7970) Prec@1 56.250 (59.193) Prec@5 79.688 (80.972) Epoch: [40][2190/10010] Time 0.332 (0.328) Data 0.001 (0.002) Loss 1.7435 (1.7970) Prec@1 57.031 (59.190) Prec@5 82.812 (80.973) Epoch: [40][2200/10010] Time 0.323 (0.328) Data 0.001 (0.002) Loss 2.0424 (1.7972) Prec@1 60.938 (59.191) Prec@5 75.000 (80.969) Epoch: [40][2210/10010] Time 0.330 (0.328) Data 0.001 (0.002) Loss 1.3887 (1.7968) Prec@1 69.531 (59.209) Prec@5 83.594 (80.973) Epoch: [40][2220/10010] Time 0.340 (0.328) Data 0.001 (0.002) Loss 1.5745 (1.7970) Prec@1 57.031 (59.195) Prec@5 89.844 (80.972) Epoch: [40][2230/10010] Time 0.316 (0.328) Data 0.001 (0.002) Loss 1.7505 (1.7976) Prec@1 60.156 (59.186) Prec@5 82.812 (80.960) Epoch: [40][2240/10010] Time 0.325 (0.328) Data 0.001 (0.002) Loss 1.9376 (1.7977) Prec@1 59.375 (59.187) Prec@5 77.344 (80.955) Epoch: [40][2250/10010] Time 0.320 (0.328) Data 0.000 (0.002) Loss 1.9938 (1.7976) Prec@1 53.125 (59.191) Prec@5 76.562 (80.959) Epoch: [40][2260/10010] Time 0.322 (0.328) Data 0.001 (0.002) Loss 1.9965 (1.7978) Prec@1 50.781 (59.182) Prec@5 77.344 (80.957) Epoch: [40][2270/10010] Time 0.339 (0.328) Data 0.001 (0.002) Loss 1.8137 (1.7978) Prec@1 58.594 (59.183) Prec@5 83.594 (80.953) Epoch: [40][2280/10010] Time 0.325 (0.328) Data 0.001 (0.002) Loss 1.8925 (1.7978) Prec@1 55.469 (59.186) Prec@5 76.562 (80.953) Epoch: [40][2290/10010] Time 0.329 (0.328) Data 0.001 (0.002) Loss 1.9034 (1.7981) Prec@1 57.031 (59.178) Prec@5 78.906 (80.951) Epoch: [40][2300/10010] Time 0.329 (0.328) Data 0.000 (0.002) Loss 1.5143 (1.7979) Prec@1 64.844 (59.182) Prec@5 83.594 (80.952) Epoch: [40][2310/10010] Time 0.334 (0.328) Data 0.001 (0.002) Loss 2.1585 (1.7987) Prec@1 50.781 (59.164) Prec@5 77.344 (80.940) Epoch: [40][2320/10010] Time 0.310 (0.328) Data 0.001 (0.002) Loss 1.6446 (1.7988) Prec@1 62.500 (59.160) Prec@5 83.594 (80.929) Epoch: [40][2330/10010] Time 0.315 (0.328) Data 0.001 (0.002) Loss 1.6994 (1.7990) Prec@1 61.719 (59.157) Prec@5 82.812 (80.924) Epoch: [40][2340/10010] Time 0.321 (0.328) Data 0.001 (0.002) Loss 1.8222 (1.7988) Prec@1 64.062 (59.165) Prec@5 78.906 (80.926) Epoch: [40][2350/10010] Time 0.324 (0.328) Data 0.001 (0.002) Loss 1.6155 (1.7988) Prec@1 63.281 (59.164) Prec@5 84.375 (80.929) Epoch: [40][2360/10010] Time 0.328 (0.328) Data 0.001 (0.002) Loss 2.1223 (1.7987) Prec@1 53.125 (59.168) Prec@5 76.562 (80.929) Epoch: [40][2370/10010] Time 0.318 (0.328) Data 0.000 (0.002) Loss 1.7107 (1.7989) Prec@1 61.719 (59.162) Prec@5 82.031 (80.927) Epoch: [40][2380/10010] Time 0.330 (0.328) Data 0.000 (0.002) Loss 1.8739 (1.7986) Prec@1 57.031 (59.169) Prec@5 78.125 (80.932) Epoch: [40][2390/10010] Time 0.336 (0.328) Data 0.000 (0.002) Loss 1.6329 (1.7990) Prec@1 59.375 (59.160) Prec@5 84.375 (80.927) /data/vision/torralba/deepscene/lib/anaconda2/lib/python2.7/site-packages/PIL/TiffImagePlugin.py:692: UserWarning: Possibly corrupt EXIF data. Expecting to read 2555904 bytes but only got 0. Skipping tag 0 "Skipping tag %s" % (size, len(data), tag)) Epoch: [40][2400/10010] Time 0.321 (0.328) Data 0.001 (0.002) Loss 1.9093 (1.7991) Prec@1 53.125 (59.159) Prec@5 81.250 (80.929) Epoch: [40][2410/10010] Time 0.317 (0.328) Data 0.001 (0.002) Loss 1.7944 (1.7990) Prec@1 60.938 (59.165) Prec@5 78.906 (80.929) Epoch: [40][2420/10010] Time 0.316 (0.328) Data 0.000 (0.002) Loss 1.2424 (1.7989) Prec@1 67.969 (59.168) Prec@5 89.844 (80.929) Epoch: [40][2430/10010] Time 0.314 (0.328) Data 0.001 (0.002) Loss 1.9026 (1.7989) Prec@1 56.250 (59.170) Prec@5 75.000 (80.928) Epoch: [40][2440/10010] Time 0.341 (0.328) Data 0.000 (0.002) Loss 1.8456 (1.7986) Prec@1 64.062 (59.176) Prec@5 80.469 (80.933) Epoch: [40][2450/10010] Time 0.321 (0.328) Data 0.001 (0.002) Loss 1.9118 (1.7990) Prec@1 53.906 (59.167) Prec@5 79.688 (80.927) Epoch: [40][2460/10010] Time 0.323 (0.328) Data 0.001 (0.002) Loss 1.5335 (1.7990) Prec@1 64.844 (59.173) Prec@5 85.156 (80.927) Epoch: [40][2470/10010] Time 0.317 (0.328) Data 0.001 (0.002) Loss 1.6545 (1.7989) Prec@1 61.719 (59.175) Prec@5 84.375 (80.927) Epoch: [40][2480/10010] Time 0.319 (0.328) Data 0.001 (0.002) Loss 1.6586 (1.7985) Prec@1 66.406 (59.182) Prec@5 83.594 (80.933) Epoch: [40][2490/10010] Time 0.319 (0.328) Data 0.001 (0.002) Loss 2.0524 (1.7985) Prec@1 58.594 (59.184) Prec@5 76.562 (80.934) Epoch: [40][2500/10010] Time 0.320 (0.328) Data 0.001 (0.002) Loss 1.8095 (1.7984) Prec@1 59.375 (59.193) Prec@5 82.812 (80.934) Epoch: [40][2510/10010] Time 0.331 (0.328) Data 0.001 (0.002) Loss 1.9393 (1.7985) Prec@1 55.469 (59.184) Prec@5 78.906 (80.933) Epoch: [40][2520/10010] Time 0.314 (0.328) Data 0.001 (0.002) Loss 1.6421 (1.7980) Prec@1 63.281 (59.193) Prec@5 84.375 (80.940) Epoch: [40][2530/10010] Time 0.332 (0.328) Data 0.001 (0.002) Loss 1.7979 (1.7980) Prec@1 60.938 (59.189) Prec@5 80.469 (80.941) Epoch: [40][2540/10010] Time 0.336 (0.328) Data 0.001 (0.002) Loss 1.9993 (1.7980) Prec@1 53.906 (59.193) Prec@5 78.906 (80.943) Epoch: [40][2550/10010] Time 0.315 (0.328) Data 0.001 (0.002) Loss 1.8525 (1.7983) Prec@1 58.594 (59.194) Prec@5 78.125 (80.943) Epoch: [40][2560/10010] Time 0.320 (0.328) Data 0.001 (0.002) Loss 1.5412 (1.7982) Prec@1 72.656 (59.202) Prec@5 82.031 (80.942) Epoch: [40][2570/10010] Time 0.318 (0.328) Data 0.001 (0.002) Loss 1.7396 (1.7983) Prec@1 64.062 (59.205) Prec@5 84.375 (80.945) Epoch: [40][2580/10010] Time 0.332 (0.328) Data 0.000 (0.002) Loss 1.7586 (1.7988) Prec@1 59.375 (59.193) Prec@5 83.594 (80.939) Epoch: [40][2590/10010] Time 0.337 (0.328) Data 0.000 (0.002) Loss 2.3770 (1.7988) Prec@1 50.000 (59.197) Prec@5 77.344 (80.936) Epoch: [40][2600/10010] Time 0.321 (0.328) Data 0.001 (0.002) Loss 1.5495 (1.7988) Prec@1 67.969 (59.202) Prec@5 83.594 (80.936) Epoch: [40][2610/10010] Time 0.337 (0.328) Data 0.001 (0.002) Loss 1.6729 (1.7986) Prec@1 59.375 (59.206) Prec@5 85.156 (80.934) Epoch: [40][2620/10010] Time 0.319 (0.328) Data 0.001 (0.002) Loss 1.9465 (1.7987) Prec@1 54.688 (59.200) Prec@5 75.781 (80.929) Epoch: [40][2630/10010] Time 0.317 (0.328) Data 0.001 (0.002) Loss 1.8941 (1.7988) Prec@1 55.469 (59.194) Prec@5 79.688 (80.931) Epoch: [40][2640/10010] Time 0.321 (0.327) Data 0.001 (0.002) Loss 1.3954 (1.7988) Prec@1 67.188 (59.183) Prec@5 84.375 (80.933) Epoch: [40][2650/10010] Time 0.315 (0.327) Data 0.000 (0.002) Loss 1.8371 (1.7989) Prec@1 59.375 (59.182) Prec@5 79.688 (80.931) Epoch: [40][2660/10010] Time 0.334 (0.327) Data 0.000 (0.002) Loss 1.9192 (1.7990) Prec@1 56.250 (59.172) Prec@5 76.562 (80.926) Epoch: [40][2670/10010] Time 0.320 (0.327) Data 0.001 (0.002) Loss 2.2158 (1.7993) Prec@1 54.688 (59.172) Prec@5 75.781 (80.924) Epoch: [40][2680/10010] Time 0.321 (0.327) Data 0.001 (0.002) Loss 2.0806 (1.7993) Prec@1 51.562 (59.173) Prec@5 77.344 (80.919) Epoch: [40][2690/10010] Time 0.315 (0.327) Data 0.001 (0.002) Loss 2.3960 (1.7994) Prec@1 47.656 (59.175) Prec@5 71.875 (80.918) Epoch: [40][2700/10010] Time 0.332 (0.327) Data 0.001 (0.002) Loss 1.7929 (1.7996) Prec@1 57.812 (59.171) Prec@5 79.688 (80.914) Epoch: [40][2710/10010] Time 0.341 (0.327) Data 0.000 (0.002) Loss 1.8712 (1.7997) Prec@1 59.375 (59.173) Prec@5 78.906 (80.912) Epoch: [40][2720/10010] Time 0.319 (0.327) Data 0.000 (0.002) Loss 1.7665 (1.7999) Prec@1 62.500 (59.169) Prec@5 78.906 (80.910) Epoch: [40][2730/10010] Time 0.329 (0.327) Data 0.001 (0.002) Loss 1.7804 (1.7998) Prec@1 57.031 (59.169) Prec@5 83.594 (80.912) Epoch: [40][2740/10010] Time 0.327 (0.327) Data 0.000 (0.002) Loss 1.5244 (1.7997) Prec@1 61.719 (59.168) Prec@5 84.375 (80.910) Epoch: [40][2750/10010] Time 0.335 (0.327) Data 0.001 (0.002) Loss 2.0643 (1.7998) Prec@1 55.469 (59.167) Prec@5 75.000 (80.904) Epoch: [40][2760/10010] Time 0.338 (0.327) Data 0.001 (0.002) Loss 2.2440 (1.7997) Prec@1 51.562 (59.168) Prec@5 74.219 (80.904) Epoch: [40][2770/10010] Time 0.327 (0.327) Data 0.001 (0.002) Loss 1.7772 (1.7999) Prec@1 61.719 (59.164) Prec@5 83.594 (80.907) Epoch: [40][2780/10010] Time 0.313 (0.327) Data 0.000 (0.002) Loss 1.7883 (1.8001) Prec@1 57.812 (59.161) Prec@5 82.031 (80.906) Epoch: [40][2790/10010] Time 0.329 (0.327) Data 0.001 (0.002) Loss 2.1716 (1.8000) Prec@1 54.688 (59.163) Prec@5 74.219 (80.909) Epoch: [40][2800/10010] Time 0.340 (0.327) Data 0.001 (0.002) Loss 1.6542 (1.7998) Prec@1 59.375 (59.164) Prec@5 82.812 (80.915) Epoch: [40][2810/10010] Time 0.319 (0.327) Data 0.001 (0.002) Loss 1.7530 (1.7997) Prec@1 58.594 (59.168) Prec@5 85.156 (80.918) Epoch: [40][2820/10010] Time 0.319 (0.327) Data 0.001 (0.001) Loss 1.8009 (1.7995) Prec@1 65.625 (59.171) Prec@5 81.250 (80.920) Epoch: [40][2830/10010] Time 0.324 (0.327) Data 0.000 (0.001) Loss 1.5753 (1.7994) Prec@1 67.969 (59.177) Prec@5 80.469 (80.919) Epoch: [40][2840/10010] Time 0.319 (0.327) Data 0.001 (0.001) Loss 1.5870 (1.7996) Prec@1 60.938 (59.170) Prec@5 79.688 (80.919) Epoch: [40][2850/10010] Time 0.324 (0.327) Data 0.001 (0.001) Loss 1.8732 (1.7996) Prec@1 55.469 (59.166) Prec@5 80.469 (80.922) Epoch: [40][2860/10010] Time 0.323 (0.327) Data 0.001 (0.001) Loss 1.9337 (1.7999) Prec@1 58.594 (59.158) Prec@5 78.125 (80.921) Epoch: [40][2870/10010] Time 0.321 (0.327) Data 0.001 (0.001) Loss 1.7739 (1.8000) Prec@1 60.156 (59.156) Prec@5 81.250 (80.920) Epoch: [40][2880/10010] Time 0.332 (0.327) Data 0.001 (0.001) Loss 2.1693 (1.8001) Prec@1 50.000 (59.155) Prec@5 73.438 (80.915) Epoch: [40][2890/10010] Time 0.330 (0.327) Data 0.000 (0.001) Loss 1.7190 (1.8000) Prec@1 58.594 (59.160) Prec@5 83.594 (80.916) Epoch: [40][2900/10010] Time 0.332 (0.327) Data 0.001 (0.001) Loss 1.9082 (1.8001) Prec@1 57.812 (59.155) Prec@5 78.906 (80.911) Epoch: [40][2910/10010] Time 0.339 (0.327) Data 0.000 (0.001) Loss 1.8705 (1.8003) Prec@1 60.156 (59.150) Prec@5 78.906 (80.906) Epoch: [40][2920/10010] Time 0.337 (0.327) Data 0.000 (0.001) Loss 1.7979 (1.8005) Prec@1 62.500 (59.145) Prec@5 83.594 (80.904) Epoch: [40][2930/10010] Time 0.316 (0.327) Data 0.001 (0.001) Loss 1.9617 (1.8005) Prec@1 59.375 (59.141) Prec@5 75.781 (80.903) Epoch: [40][2940/10010] Time 0.315 (0.327) Data 0.001 (0.001) Loss 1.9230 (1.8009) Prec@1 57.031 (59.128) Prec@5 78.125 (80.896) Epoch: [40][2950/10010] Time 0.333 (0.327) Data 0.001 (0.001) Loss 1.9608 (1.8009) Prec@1 56.250 (59.123) Prec@5 80.469 (80.894) Epoch: [40][2960/10010] Time 0.341 (0.327) Data 0.000 (0.001) Loss 1.8868 (1.8009) Prec@1 55.469 (59.125) Prec@5 79.688 (80.894) Epoch: [40][2970/10010] Time 0.321 (0.327) Data 0.001 (0.001) Loss 2.0863 (1.8010) Prec@1 57.031 (59.120) Prec@5 77.344 (80.892) Epoch: [40][2980/10010] Time 0.342 (0.327) Data 0.000 (0.001) Loss 1.8914 (1.8009) Prec@1 55.469 (59.121) Prec@5 82.031 (80.894) Epoch: [40][2990/10010] Time 0.321 (0.327) Data 0.001 (0.001) Loss 1.7918 (1.8011) Prec@1 54.688 (59.115) Prec@5 82.031 (80.892) Epoch: [40][3000/10010] Time 0.330 (0.327) Data 0.001 (0.001) Loss 1.8426 (1.8011) Prec@1 61.719 (59.114) Prec@5 78.906 (80.895) Epoch: [40][3010/10010] Time 0.338 (0.327) Data 0.000 (0.001) Loss 2.1912 (1.8011) Prec@1 55.469 (59.115) Prec@5 74.219 (80.897) Epoch: [40][3020/10010] Time 0.313 (0.327) Data 0.001 (0.001) Loss 1.7188 (1.8010) Prec@1 61.719 (59.111) Prec@5 81.250 (80.898) Epoch: [40][3030/10010] Time 0.335 (0.327) Data 0.001 (0.001) Loss 1.7387 (1.8011) Prec@1 60.938 (59.111) Prec@5 82.812 (80.897) Epoch: [40][3040/10010] Time 0.340 (0.328) Data 0.000 (0.001) Loss 1.5208 (1.8012) Prec@1 62.500 (59.106) Prec@5 86.719 (80.899) Epoch: [40][3050/10010] Time 0.337 (0.328) Data 0.001 (0.001) Loss 1.5489 (1.8011) Prec@1 66.406 (59.111) Prec@5 86.719 (80.905) Epoch: [40][3060/10010] Time 0.319 (0.328) Data 0.001 (0.001) Loss 1.8504 (1.8014) Prec@1 62.500 (59.102) Prec@5 78.906 (80.901) Epoch: [40][3070/10010] Time 0.339 (0.328) Data 0.001 (0.001) Loss 1.9131 (1.8015) Prec@1 63.281 (59.103) Prec@5 80.469 (80.901) Epoch: [40][3080/10010] Time 0.317 (0.328) Data 0.001 (0.001) Loss 1.6984 (1.8015) Prec@1 60.938 (59.099) Prec@5 82.812 (80.900) Epoch: [40][3090/10010] Time 0.341 (0.328) Data 0.001 (0.001) Loss 1.6069 (1.8016) Prec@1 63.281 (59.095) Prec@5 84.375 (80.901) Epoch: [40][3100/10010] Time 0.324 (0.328) Data 0.001 (0.001) Loss 1.8987 (1.8016) Prec@1 62.500 (59.096) Prec@5 81.250 (80.901) Epoch: [40][3110/10010] Time 0.320 (0.327) Data 0.001 (0.001) Loss 1.6971 (1.8015) Prec@1 57.812 (59.100) Prec@5 82.812 (80.904) Epoch: [40][3120/10010] Time 0.328 (0.327) Data 0.001 (0.001) Loss 2.0525 (1.8013) Prec@1 53.125 (59.098) Prec@5 74.219 (80.910) Epoch: [40][3130/10010] Time 0.340 (0.327) Data 0.001 (0.001) Loss 1.9851 (1.8013) Prec@1 60.938 (59.097) Prec@5 76.562 (80.912) Epoch: [40][3140/10010] Time 0.330 (0.327) Data 0.001 (0.001) Loss 1.9762 (1.8014) Prec@1 55.469 (59.092) Prec@5 75.781 (80.911) Epoch: [40][3150/10010] Time 0.328 (0.327) Data 0.001 (0.001) Loss 1.4933 (1.8015) Prec@1 69.531 (59.095) Prec@5 85.938 (80.909) Epoch: [40][3160/10010] Time 0.317 (0.327) Data 0.001 (0.001) Loss 1.6842 (1.8015) Prec@1 60.156 (59.095) Prec@5 83.594 (80.908) Epoch: [40][3170/10010] Time 0.322 (0.327) Data 0.001 (0.001) Loss 1.6344 (1.8015) Prec@1 62.500 (59.096) Prec@5 80.469 (80.909) Epoch: [40][3180/10010] Time 0.324 (0.327) Data 0.000 (0.001) Loss 1.6534 (1.8012) Prec@1 61.719 (59.102) Prec@5 80.469 (80.913) Epoch: [40][3190/10010] Time 0.329 (0.327) Data 0.001 (0.001) Loss 1.5772 (1.8013) Prec@1 60.156 (59.096) Prec@5 84.375 (80.909) Epoch: [40][3200/10010] Time 0.338 (0.327) Data 0.000 (0.001) Loss 1.6973 (1.8013) Prec@1 58.594 (59.092) Prec@5 82.812 (80.909) Epoch: [40][3210/10010] Time 0.337 (0.327) Data 0.001 (0.001) Loss 2.0058 (1.8012) Prec@1 52.344 (59.095) Prec@5 76.562 (80.914) Epoch: [40][3220/10010] Time 0.320 (0.327) Data 0.001 (0.001) Loss 1.6772 (1.8013) Prec@1 63.281 (59.085) Prec@5 78.906 (80.910) Epoch: [40][3230/10010] Time 0.327 (0.327) Data 0.001 (0.001) Loss 1.8121 (1.8013) Prec@1 57.812 (59.082) Prec@5 76.562 (80.908) Epoch: [40][3240/10010] Time 0.316 (0.327) Data 0.001 (0.001) Loss 1.3929 (1.8012) Prec@1 66.406 (59.083) Prec@5 84.375 (80.910) /data/vision/torralba/deepscene/lib/anaconda2/lib/python2.7/site-packages/PIL/TiffImagePlugin.py:692: UserWarning: Possibly corrupt EXIF data. Expecting to read 2555904 bytes but only got 0. Skipping tag 0 "Skipping tag %s" % (size, len(data), tag)) Epoch: [40][3250/10010] Time 0.346 (0.327) Data 0.001 (0.001) Loss 1.8805 (1.8015) Prec@1 57.031 (59.075) Prec@5 78.125 (80.904) Epoch: [40][3260/10010] Time 0.320 (0.327) Data 0.001 (0.001) Loss 1.8767 (1.8018) Prec@1 55.469 (59.072) Prec@5 80.469 (80.900) Epoch: [40][3270/10010] Time 0.321 (0.327) Data 0.001 (0.001) Loss 1.6923 (1.8017) Prec@1 56.250 (59.073) Prec@5 85.938 (80.903) Epoch: [40][3280/10010] Time 0.322 (0.327) Data 0.001 (0.001) Loss 1.5934 (1.8014) Prec@1 65.625 (59.078) Prec@5 82.031 (80.905) Epoch: [40][3290/10010] Time 0.322 (0.327) Data 0.001 (0.001) Loss 1.8863 (1.8017) Prec@1 57.812 (59.076) Prec@5 75.000 (80.898) Epoch: [40][3300/10010] Time 0.327 (0.327) Data 0.001 (0.001) Loss 2.1387 (1.8016) Prec@1 48.438 (59.079) Prec@5 71.875 (80.896) Epoch: [40][3310/10010] Time 0.331 (0.327) Data 0.001 (0.001) Loss 1.6995 (1.8017) Prec@1 63.281 (59.083) Prec@5 82.812 (80.896) Epoch: [40][3320/10010] Time 0.339 (0.327) Data 0.001 (0.001) Loss 1.9471 (1.8014) Prec@1 53.125 (59.087) Prec@5 82.812 (80.901) Epoch: [40][3330/10010] Time 0.333 (0.327) Data 0.001 (0.001) Loss 1.9583 (1.8013) Prec@1 55.469 (59.086) Prec@5 78.906 (80.903) Epoch: [40][3340/10010] Time 0.324 (0.327) Data 0.000 (0.001) Loss 1.9726 (1.8013) Prec@1 53.906 (59.082) Prec@5 76.562 (80.901) Epoch: [40][3350/10010] Time 0.320 (0.327) Data 0.000 (0.001) Loss 1.7313 (1.8011) Prec@1 63.281 (59.086) Prec@5 80.469 (80.904) Epoch: [40][3360/10010] Time 0.339 (0.327) Data 0.001 (0.001) Loss 1.9187 (1.8013) Prec@1 60.156 (59.076) Prec@5 79.688 (80.902) Epoch: [40][3370/10010] Time 0.331 (0.327) Data 0.001 (0.001) Loss 1.9553 (1.8012) Prec@1 57.031 (59.079) Prec@5 75.000 (80.903) Epoch: [40][3380/10010] Time 0.330 (0.327) Data 0.001 (0.001) Loss 2.0151 (1.8014) Prec@1 48.438 (59.078) Prec@5 78.125 (80.901) Epoch: [40][3390/10010] Time 0.317 (0.327) Data 0.001 (0.001) Loss 1.9504 (1.8014) Prec@1 55.469 (59.074) Prec@5 82.031 (80.903) Epoch: [40][3400/10010] Time 0.324 (0.327) Data 0.001 (0.001) Loss 1.6955 (1.8013) Prec@1 57.812 (59.077) Prec@5 83.594 (80.907) Epoch: [40][3410/10010] Time 0.323 (0.327) Data 0.000 (0.001) Loss 2.0322 (1.8012) Prec@1 53.906 (59.081) Prec@5 78.125 (80.908) Epoch: [40][3420/10010] Time 0.321 (0.327) Data 0.001 (0.001) Loss 1.6527 (1.8010) Prec@1 60.938 (59.082) Prec@5 88.281 (80.912) Epoch: [40][3430/10010] Time 0.325 (0.327) Data 0.001 (0.001) Loss 1.9057 (1.8013) Prec@1 55.469 (59.077) Prec@5 78.125 (80.907) Epoch: [40][3440/10010] Time 0.320 (0.327) Data 0.001 (0.001) Loss 1.9619 (1.8014) Prec@1 58.594 (59.074) Prec@5 75.781 (80.904) Epoch: [40][3450/10010] Time 0.320 (0.327) Data 0.000 (0.001) Loss 1.9134 (1.8014) Prec@1 53.906 (59.074) Prec@5 75.000 (80.903) Epoch: [40][3460/10010] Time 0.335 (0.327) Data 0.001 (0.001) Loss 1.6386 (1.8011) Prec@1 64.844 (59.082) Prec@5 81.250 (80.903) /data/vision/torralba/deepscene/lib/anaconda2/lib/python2.7/site-packages/PIL/TiffImagePlugin.py:692: UserWarning: Possibly corrupt EXIF data. Expecting to read 2555904 bytes but only got 0. Skipping tag 0 "Skipping tag %s" % (size, len(data), tag)) Epoch: [40][3470/10010] Time 0.314 (0.327) Data 0.001 (0.001) Loss 1.6498 (1.8011) Prec@1 64.844 (59.079) Prec@5 82.031 (80.902) Epoch: [40][3480/10010] Time 0.336 (0.327) Data 0.000 (0.001) Loss 1.9283 (1.8009) Prec@1 57.812 (59.085) Prec@5 82.812 (80.910) Epoch: [40][3490/10010] Time 0.317 (0.327) Data 0.000 (0.001) Loss 2.0878 (1.8008) Prec@1 55.469 (59.089) Prec@5 75.000 (80.912) Epoch: [40][3500/10010] Time 0.321 (0.327) Data 0.001 (0.001) Loss 1.8615 (1.8006) Prec@1 57.031 (59.094) Prec@5 78.125 (80.916) Epoch: [40][3510/10010] Time 0.329 (0.327) Data 0.000 (0.001) Loss 1.6684 (1.8005) Prec@1 65.625 (59.095) Prec@5 81.250 (80.916) Epoch: [40][3520/10010] Time 0.340 (0.327) Data 0.000 (0.001) Loss 1.6462 (1.8005) Prec@1 62.500 (59.098) Prec@5 86.719 (80.920) Epoch: [40][3530/10010] Time 0.339 (0.327) Data 0.001 (0.001) Loss 1.8678 (1.8003) Prec@1 57.812 (59.101) Prec@5 75.781 (80.920) Epoch: [40][3540/10010] Time 0.328 (0.327) Data 0.001 (0.001) Loss 1.4947 (1.8001) Prec@1 62.500 (59.108) Prec@5 87.500 (80.923) Epoch: [40][3550/10010] Time 0.335 (0.327) Data 0.001 (0.001) Loss 1.9882 (1.8002) Prec@1 51.562 (59.107) Prec@5 78.125 (80.923) Epoch: [40][3560/10010] Time 0.323 (0.327) Data 0.001 (0.001) Loss 1.9610 (1.8004) Prec@1 55.469 (59.101) Prec@5 78.906 (80.919) Epoch: [40][3570/10010] Time 0.324 (0.327) Data 0.001 (0.001) Loss 1.6099 (1.8002) Prec@1 63.281 (59.106) Prec@5 85.156 (80.922) Epoch: [40][3580/10010] Time 0.314 (0.327) Data 0.001 (0.001) Loss 1.6152 (1.8002) Prec@1 57.812 (59.103) Prec@5 81.250 (80.923) Epoch: [40][3590/10010] Time 0.326 (0.327) Data 0.000 (0.001) Loss 2.0589 (1.8003) Prec@1 54.688 (59.098) Prec@5 76.562 (80.922) Epoch: [40][3600/10010] Time 0.319 (0.327) Data 0.000 (0.001) Loss 1.8258 (1.8003) Prec@1 60.938 (59.097) Prec@5 80.469 (80.921) Epoch: [40][3610/10010] Time 0.327 (0.327) Data 0.001 (0.001) Loss 1.7527 (1.8002) Prec@1 60.938 (59.098) Prec@5 82.031 (80.921) Epoch: [40][3620/10010] Time 0.324 (0.327) Data 0.001 (0.001) Loss 1.7166 (1.8002) Prec@1 58.594 (59.098) Prec@5 78.906 (80.920) Epoch: [40][3630/10010] Time 0.336 (0.327) Data 0.001 (0.001) Loss 1.4941 (1.8003) Prec@1 63.281 (59.094) Prec@5 86.719 (80.918) Epoch: [40][3640/10010] Time 0.329 (0.327) Data 0.001 (0.001) Loss 1.9774 (1.8005) Prec@1 57.812 (59.089) Prec@5 71.875 (80.914) Epoch: [40][3650/10010] Time 0.320 (0.327) Data 0.001 (0.001) Loss 1.6161 (1.8004) Prec@1 58.594 (59.091) Prec@5 83.594 (80.917) Epoch: [40][3660/10010] Time 0.326 (0.327) Data 0.001 (0.001) Loss 1.7291 (1.8004) Prec@1 58.594 (59.089) Prec@5 80.469 (80.916) Epoch: [40][3670/10010] Time 0.315 (0.327) Data 0.001 (0.001) Loss 1.7557 (1.8005) Prec@1 57.812 (59.089) Prec@5 80.469 (80.911) Epoch: [40][3680/10010] Time 0.328 (0.327) Data 0.001 (0.001) Loss 1.9124 (1.8005) Prec@1 54.688 (59.089) Prec@5 79.688 (80.910) Epoch: [40][3690/10010] Time 0.335 (0.327) Data 0.001 (0.001) Loss 1.6435 (1.8004) Prec@1 67.969 (59.096) Prec@5 80.469 (80.909) Epoch: [40][3700/10010] Time 0.338 (0.327) Data 0.001 (0.001) Loss 1.7316 (1.8003) Prec@1 61.719 (59.098) Prec@5 81.250 (80.910) Epoch: [40][3710/10010] Time 0.335 (0.327) Data 0.001 (0.001) Loss 1.9366 (1.8003) Prec@1 56.250 (59.101) Prec@5 77.344 (80.909) Epoch: [40][3720/10010] Time 0.316 (0.327) Data 0.001 (0.001) Loss 2.3788 (1.8004) Prec@1 49.219 (59.097) Prec@5 69.531 (80.908) Epoch: [40][3730/10010] Time 0.323 (0.327) Data 0.001 (0.001) Loss 1.8947 (1.8005) Prec@1 54.688 (59.089) Prec@5 80.469 (80.908) Epoch: [40][3740/10010] Time 0.333 (0.327) Data 0.001 (0.001) Loss 1.9549 (1.8004) Prec@1 55.469 (59.088) Prec@5 76.562 (80.911) Epoch: [40][3750/10010] Time 0.322 (0.327) Data 0.001 (0.001) Loss 1.7716 (1.8004) Prec@1 63.281 (59.091) Prec@5 84.375 (80.911) Epoch: [40][3760/10010] Time 0.344 (0.327) Data 0.001 (0.001) Loss 1.9650 (1.8003) Prec@1 58.594 (59.092) Prec@5 77.344 (80.909) Epoch: [40][3770/10010] Time 0.322 (0.327) Data 0.000 (0.001) Loss 1.9840 (1.8006) Prec@1 57.812 (59.090) Prec@5 78.125 (80.904) Epoch: [40][3780/10010] Time 0.323 (0.327) Data 0.001 (0.001) Loss 1.7309 (1.8007) Prec@1 58.594 (59.089) Prec@5 80.469 (80.899) Epoch: [40][3790/10010] Time 0.314 (0.327) Data 0.001 (0.001) Loss 1.8221 (1.8008) Prec@1 57.812 (59.087) Prec@5 80.469 (80.900) Epoch: [40][3800/10010] Time 0.324 (0.327) Data 0.001 (0.001) Loss 1.8225 (1.8008) Prec@1 60.938 (59.090) Prec@5 82.031 (80.901) Epoch: [40][3810/10010] Time 0.336 (0.327) Data 0.001 (0.001) Loss 1.7348 (1.8008) Prec@1 57.031 (59.089) Prec@5 79.688 (80.901) Epoch: [40][3820/10010] Time 0.331 (0.327) Data 0.001 (0.001) Loss 1.6684 (1.8007) Prec@1 63.281 (59.094) Prec@5 80.469 (80.901) Epoch: [40][3830/10010] Time 0.324 (0.327) Data 0.001 (0.001) Loss 1.6354 (1.8007) Prec@1 57.031 (59.094) Prec@5 85.156 (80.900) Epoch: [40][3840/10010] Time 0.322 (0.327) Data 0.001 (0.001) Loss 2.1972 (1.8008) Prec@1 56.250 (59.095) Prec@5 70.312 (80.899) Epoch: [40][3850/10010] Time 0.313 (0.327) Data 0.001 (0.001) Loss 2.0540 (1.8010) Prec@1 53.906 (59.090) Prec@5 77.344 (80.896) Epoch: [40][3860/10010] Time 0.335 (0.327) Data 0.000 (0.001) Loss 1.5280 (1.8010) Prec@1 65.625 (59.086) Prec@5 85.156 (80.896) Epoch: [40][3870/10010] Time 0.321 (0.327) Data 0.001 (0.001) Loss 1.7162 (1.8008) Prec@1 60.938 (59.097) Prec@5 77.344 (80.897) Epoch: [40][3880/10010] Time 0.328 (0.327) Data 0.001 (0.001) Loss 1.8188 (1.8008) Prec@1 57.031 (59.096) Prec@5 82.812 (80.899) Epoch: [40][3890/10010] Time 0.342 (0.327) Data 0.000 (0.001) Loss 1.9007 (1.8009) Prec@1 57.031 (59.094) Prec@5 78.125 (80.902) Epoch: [40][3900/10010] Time 0.323 (0.327) Data 0.001 (0.001) Loss 1.7189 (1.8008) Prec@1 57.812 (59.095) Prec@5 82.812 (80.901) Epoch: [40][3910/10010] Time 0.322 (0.327) Data 0.001 (0.001) Loss 2.0828 (1.8009) Prec@1 50.000 (59.089) Prec@5 81.250 (80.900) Epoch: [40][3920/10010] Time 0.339 (0.327) Data 0.001 (0.001) Loss 2.3518 (1.8009) Prec@1 53.906 (59.088) Prec@5 75.000 (80.901) Epoch: [40][3930/10010] Time 0.320 (0.327) Data 0.001 (0.001) Loss 1.9702 (1.8009) Prec@1 56.250 (59.087) Prec@5 77.344 (80.899) Epoch: [40][3940/10010] Time 0.339 (0.327) Data 0.001 (0.001) Loss 1.9159 (1.8011) Prec@1 57.031 (59.086) Prec@5 78.906 (80.899) Epoch: [40][3950/10010] Time 0.331 (0.327) Data 0.001 (0.001) Loss 1.7441 (1.8009) Prec@1 60.156 (59.090) Prec@5 81.250 (80.901) Epoch: [40][3960/10010] Time 0.335 (0.327) Data 0.001 (0.001) Loss 2.2167 (1.8010) Prec@1 54.688 (59.087) Prec@5 77.344 (80.899) Epoch: [40][3970/10010] Time 0.334 (0.327) Data 0.001 (0.001) Loss 1.8052 (1.8009) Prec@1 60.938 (59.089) Prec@5 82.812 (80.901) Epoch: [40][3980/10010] Time 0.350 (0.327) Data 0.001 (0.001) Loss 1.7629 (1.8010) Prec@1 60.938 (59.087) Prec@5 80.469 (80.898) Epoch: [40][3990/10010] Time 0.341 (0.327) Data 0.001 (0.001) Loss 1.7886 (1.8010) Prec@1 57.031 (59.083) Prec@5 80.469 (80.895) Epoch: [40][4000/10010] Time 0.334 (0.327) Data 0.001 (0.001) Loss 1.6317 (1.8012) Prec@1 64.844 (59.081) Prec@5 85.938 (80.892) Epoch: [40][4010/10010] Time 0.336 (0.327) Data 0.001 (0.001) Loss 1.2922 (1.8008) Prec@1 69.531 (59.087) Prec@5 88.281 (80.900) Epoch: [40][4020/10010] Time 0.315 (0.327) Data 0.001 (0.001) Loss 1.9876 (1.8009) Prec@1 55.469 (59.085) Prec@5 80.469 (80.900) Epoch: [40][4030/10010] Time 0.338 (0.327) Data 0.001 (0.001) Loss 1.8877 (1.8010) Prec@1 56.250 (59.087) Prec@5 75.781 (80.896) /data/vision/torralba/deepscene/lib/anaconda2/lib/python2.7/site-packages/PIL/TiffImagePlugin.py:692: UserWarning: Possibly corrupt EXIF data. Expecting to read 19660800 bytes but only got 0. Skipping tag 0 "Skipping tag %s" % (size, len(data), tag)) /data/vision/torralba/deepscene/lib/anaconda2/lib/python2.7/site-packages/PIL/TiffImagePlugin.py:692: UserWarning: Possibly corrupt EXIF data. Expecting to read 18481152 bytes but only got 0. Skipping tag 0 "Skipping tag %s" % (size, len(data), tag)) /data/vision/torralba/deepscene/lib/anaconda2/lib/python2.7/site-packages/PIL/TiffImagePlugin.py:692: UserWarning: Possibly corrupt EXIF data. Expecting to read 37093376 bytes but only got 0. Skipping tag 0 "Skipping tag %s" % (size, len(data), tag)) /data/vision/torralba/deepscene/lib/anaconda2/lib/python2.7/site-packages/PIL/TiffImagePlugin.py:692: UserWarning: Possibly corrupt EXIF data. Expecting to read 39976960 bytes but only got 0. Skipping tag 0 "Skipping tag %s" % (size, len(data), tag)) /data/vision/torralba/deepscene/lib/anaconda2/lib/python2.7/site-packages/PIL/TiffImagePlugin.py:692: UserWarning: Possibly corrupt EXIF data. Expecting to read 34865152 bytes but only got 0. Skipping tag 0 "Skipping tag %s" % (size, len(data), tag)) /data/vision/torralba/deepscene/lib/anaconda2/lib/python2.7/site-packages/PIL/TiffImagePlugin.py:709: UserWarning: Corrupt EXIF data. Expecting to read 12 bytes but only got 10. warnings.warn(str(msg)) Epoch: [40][4040/10010] Time 0.315 (0.327) Data 0.001 (0.001) Loss 1.6114 (1.8011) Prec@1 60.156 (59.083) Prec@5 82.031 (80.895) Epoch: [40][4050/10010] Time 0.331 (0.327) Data 0.001 (0.001) Loss 1.5075 (1.8009) Prec@1 65.625 (59.084) Prec@5 83.594 (80.897) Epoch: [40][4060/10010] Time 0.339 (0.327) Data 0.000 (0.001) Loss 2.0302 (1.8008) Prec@1 55.469 (59.087) Prec@5 77.344 (80.899) Epoch: [40][4070/10010] Time 0.318 (0.327) Data 0.001 (0.001) Loss 2.0356 (1.8006) Prec@1 59.375 (59.093) Prec@5 78.125 (80.900) Epoch: [40][4080/10010] Time 0.329 (0.327) Data 0.001 (0.001) Loss 1.8730 (1.8006) Prec@1 57.812 (59.091) Prec@5 79.688 (80.901) Epoch: [40][4090/10010] Time 0.323 (0.327) Data 0.001 (0.001) Loss 1.7637 (1.8004) Prec@1 61.719 (59.098) Prec@5 82.812 (80.903) Epoch: [40][4100/10010] Time 0.320 (0.327) Data 0.000 (0.001) Loss 1.9187 (1.8004) Prec@1 59.375 (59.099) Prec@5 82.031 (80.904) Epoch: [40][4110/10010] Time 0.337 (0.327) Data 0.001 (0.001) Loss 1.4838 (1.8005) Prec@1 64.844 (59.096) Prec@5 87.500 (80.903) Epoch: [40][4120/10010] Time 0.337 (0.327) Data 0.000 (0.001) Loss 1.9423 (1.8005) Prec@1 57.031 (59.091) Prec@5 78.125 (80.902) Epoch: [40][4130/10010] Time 0.336 (0.327) Data 0.000 (0.001) Loss 1.6209 (1.8006) Prec@1 63.281 (59.091) Prec@5 85.156 (80.900) Epoch: [40][4140/10010] Time 0.339 (0.327) Data 0.000 (0.001) Loss 1.8925 (1.8008) Prec@1 57.031 (59.087) Prec@5 76.562 (80.896) Epoch: [40][4150/10010] Time 0.337 (0.327) Data 0.001 (0.001) Loss 1.7211 (1.8010) Prec@1 62.500 (59.084) Prec@5 78.125 (80.891) Epoch: [40][4160/10010] Time 0.326 (0.327) Data 0.001 (0.001) Loss 1.5871 (1.8010) Prec@1 59.375 (59.086) Prec@5 80.469 (80.890) Epoch: [40][4170/10010] Time 0.331 (0.327) Data 0.000 (0.001) Loss 1.9349 (1.8012) Prec@1 54.688 (59.081) Prec@5 78.906 (80.887) Epoch: [40][4180/10010] Time 0.325 (0.327) Data 0.001 (0.001) Loss 1.6307 (1.8011) Prec@1 63.281 (59.081) Prec@5 82.031 (80.891) Epoch: [40][4190/10010] Time 0.340 (0.327) Data 0.001 (0.001) Loss 1.7302 (1.8010) Prec@1 62.500 (59.086) Prec@5 84.375 (80.894) Epoch: [40][4200/10010] Time 0.332 (0.327) Data 0.001 (0.001) Loss 2.0249 (1.8010) Prec@1 56.250 (59.085) Prec@5 76.562 (80.894) Epoch: [40][4210/10010] Time 0.337 (0.327) Data 0.000 (0.001) Loss 2.1893 (1.8010) Prec@1 54.688 (59.085) Prec@5 75.781 (80.892) Epoch: [40][4220/10010] Time 0.337 (0.327) Data 0.001 (0.001) Loss 1.8823 (1.8009) Prec@1 57.812 (59.088) Prec@5 82.031 (80.894) Epoch: [40][4230/10010] Time 0.316 (0.327) Data 0.000 (0.001) Loss 1.9494 (1.8010) Prec@1 57.812 (59.087) Prec@5 77.344 (80.893) Epoch: [40][4240/10010] Time 0.341 (0.327) Data 0.001 (0.001) Loss 2.0396 (1.8012) Prec@1 55.469 (59.087) Prec@5 74.219 (80.888) Epoch: [40][4250/10010] Time 0.317 (0.327) Data 0.000 (0.001) Loss 2.2185 (1.8013) Prec@1 48.438 (59.086) Prec@5 74.219 (80.886) Epoch: [40][4260/10010] Time 0.323 (0.327) Data 0.002 (0.001) Loss 1.9048 (1.8011) Prec@1 53.906 (59.087) Prec@5 78.125 (80.889) Epoch: [40][4270/10010] Time 0.338 (0.327) Data 0.001 (0.001) Loss 1.7784 (1.8013) Prec@1 55.469 (59.083) Prec@5 79.688 (80.887) Epoch: [40][4280/10010] Time 0.326 (0.327) Data 0.001 (0.001) Loss 1.6843 (1.8013) Prec@1 64.844 (59.084) Prec@5 82.031 (80.887) Epoch: [40][4290/10010] Time 0.313 (0.327) Data 0.000 (0.001) Loss 2.0425 (1.8011) Prec@1 48.438 (59.086) Prec@5 77.344 (80.890) Epoch: [40][4300/10010] Time 0.314 (0.327) Data 0.001 (0.001) Loss 1.7023 (1.8011) Prec@1 60.938 (59.081) Prec@5 83.594 (80.890) Epoch: [40][4310/10010] Time 0.342 (0.327) Data 0.000 (0.001) Loss 1.9360 (1.8012) Prec@1 59.375 (59.079) Prec@5 76.562 (80.890) Epoch: [40][4320/10010] Time 0.328 (0.327) Data 0.000 (0.001) Loss 1.4842 (1.8011) Prec@1 66.406 (59.083) Prec@5 84.375 (80.893) Epoch: [40][4330/10010] Time 0.333 (0.327) Data 0.000 (0.001) Loss 1.9742 (1.8012) Prec@1 62.500 (59.081) Prec@5 78.906 (80.889) Epoch: [40][4340/10010] Time 0.328 (0.327) Data 0.001 (0.001) Loss 1.6041 (1.8012) Prec@1 65.625 (59.085) Prec@5 85.938 (80.890) Epoch: [40][4350/10010] Time 0.325 (0.328) Data 0.001 (0.001) Loss 1.5900 (1.8012) Prec@1 57.812 (59.086) Prec@5 85.156 (80.892) Epoch: [40][4360/10010] Time 0.317 (0.328) Data 0.000 (0.001) Loss 1.6966 (1.8013) Prec@1 59.375 (59.088) Prec@5 84.375 (80.894) Epoch: [40][4370/10010] Time 0.333 (0.328) Data 0.001 (0.001) Loss 2.1812 (1.8013) Prec@1 49.219 (59.090) Prec@5 78.906 (80.894) Epoch: [40][4380/10010] Time 0.318 (0.328) Data 0.000 (0.001) Loss 1.7628 (1.8014) Prec@1 61.719 (59.088) Prec@5 80.469 (80.892) Epoch: [40][4390/10010] Time 0.339 (0.327) Data 0.001 (0.001) Loss 2.0451 (1.8016) Prec@1 58.594 (59.084) Prec@5 75.000 (80.888) Epoch: [40][4400/10010] Time 0.341 (0.328) Data 0.000 (0.001) Loss 1.7751 (1.8017) Prec@1 58.594 (59.084) Prec@5 82.812 (80.890) Epoch: [40][4410/10010] Time 0.339 (0.328) Data 0.001 (0.001) Loss 2.0010 (1.8018) Prec@1 56.250 (59.083) Prec@5 77.344 (80.889) Epoch: [40][4420/10010] Time 0.334 (0.328) Data 0.001 (0.001) Loss 1.7737 (1.8020) Prec@1 57.031 (59.080) Prec@5 83.594 (80.886) Epoch: [40][4430/10010] Time 0.313 (0.328) Data 0.001 (0.001) Loss 1.9676 (1.8020) Prec@1 57.031 (59.083) Prec@5 72.656 (80.882) Epoch: [40][4440/10010] Time 0.338 (0.328) Data 0.001 (0.001) Loss 1.7631 (1.8022) Prec@1 55.469 (59.078) Prec@5 84.375 (80.883) Epoch: [40][4450/10010] Time 0.334 (0.328) Data 0.001 (0.001) Loss 1.8091 (1.8024) Prec@1 57.031 (59.074) Prec@5 78.125 (80.881) Epoch: [40][4460/10010] Time 0.318 (0.328) Data 0.000 (0.001) Loss 1.6814 (1.8022) Prec@1 61.719 (59.075) Prec@5 82.031 (80.884) Epoch: [40][4470/10010] Time 0.316 (0.328) Data 0.000 (0.001) Loss 2.0526 (1.8023) Prec@1 52.344 (59.073) Prec@5 76.562 (80.881) Epoch: [40][4480/10010] Time 0.327 (0.328) Data 0.000 (0.001) Loss 1.8266 (1.8023) Prec@1 61.719 (59.074) Prec@5 79.688 (80.880) Epoch: [40][4490/10010] Time 0.317 (0.327) Data 0.001 (0.001) Loss 1.7721 (1.8021) Prec@1 61.719 (59.077) Prec@5 78.906 (80.882) Epoch: [40][4500/10010] Time 0.337 (0.328) Data 0.001 (0.001) Loss 1.9572 (1.8019) Prec@1 53.125 (59.082) Prec@5 78.125 (80.885) Epoch: [40][4510/10010] Time 0.334 (0.328) Data 0.001 (0.001) Loss 1.9523 (1.8022) Prec@1 57.812 (59.080) Prec@5 78.125 (80.881) Epoch: [40][4520/10010] Time 0.336 (0.328) Data 0.001 (0.001) Loss 1.5867 (1.8021) Prec@1 67.969 (59.079) Prec@5 85.156 (80.882) Epoch: [40][4530/10010] Time 0.329 (0.328) Data 0.001 (0.001) Loss 1.6508 (1.8020) Prec@1 56.250 (59.082) Prec@5 85.156 (80.880) Epoch: [40][4540/10010] Time 0.323 (0.327) Data 0.000 (0.001) Loss 2.0204 (1.8021) Prec@1 57.812 (59.080) Prec@5 80.469 (80.882) Epoch: [40][4550/10010] Time 0.313 (0.327) Data 0.001 (0.001) Loss 1.6630 (1.8020) Prec@1 64.062 (59.081) Prec@5 80.469 (80.882) Epoch: [40][4560/10010] Time 0.326 (0.327) Data 0.001 (0.001) Loss 1.6249 (1.8020) Prec@1 62.500 (59.083) Prec@5 82.812 (80.880) Epoch: [40][4570/10010] Time 0.327 (0.327) Data 0.000 (0.001) Loss 2.1604 (1.8020) Prec@1 52.344 (59.080) Prec@5 75.000 (80.880) Epoch: [40][4580/10010] Time 0.331 (0.327) Data 0.001 (0.001) Loss 1.8717 (1.8020) Prec@1 57.031 (59.081) Prec@5 80.469 (80.878) Epoch: [40][4590/10010] Time 0.315 (0.327) Data 0.001 (0.001) Loss 1.7652 (1.8020) Prec@1 61.719 (59.079) Prec@5 82.812 (80.875) Epoch: [40][4600/10010] Time 0.321 (0.327) Data 0.001 (0.001) Loss 2.0293 (1.8021) Prec@1 54.688 (59.081) Prec@5 74.219 (80.874) Epoch: [40][4610/10010] Time 0.325 (0.327) Data 0.001 (0.001) Loss 1.9643 (1.8022) Prec@1 50.781 (59.076) Prec@5 77.344 (80.874) Epoch: [40][4620/10010] Time 0.333 (0.327) Data 0.001 (0.001) Loss 2.0903 (1.8021) Prec@1 52.344 (59.079) Prec@5 76.562 (80.875) Epoch: [40][4630/10010] Time 0.333 (0.327) Data 0.001 (0.001) Loss 1.7959 (1.8020) Prec@1 59.375 (59.081) Prec@5 80.469 (80.876) Epoch: [40][4640/10010] Time 0.324 (0.327) Data 0.001 (0.001) Loss 2.1947 (1.8022) Prec@1 51.562 (59.074) Prec@5 73.438 (80.872) Epoch: [40][4650/10010] Time 0.331 (0.327) Data 0.001 (0.001) Loss 1.7823 (1.8022) Prec@1 61.719 (59.075) Prec@5 83.594 (80.873) Epoch: [40][4660/10010] Time 0.340 (0.327) Data 0.000 (0.001) Loss 1.7077 (1.8020) Prec@1 64.844 (59.077) Prec@5 85.156 (80.877) Epoch: [40][4670/10010] Time 0.315 (0.327) Data 0.001 (0.001) Loss 1.8513 (1.8021) Prec@1 60.156 (59.077) Prec@5 79.688 (80.876) Epoch: [40][4680/10010] Time 0.321 (0.327) Data 0.001 (0.001) Loss 1.8066 (1.8019) Prec@1 60.156 (59.082) Prec@5 79.688 (80.879) Epoch: [40][4690/10010] Time 0.323 (0.327) Data 0.000 (0.001) Loss 1.9471 (1.8017) Prec@1 54.688 (59.084) Prec@5 78.906 (80.882) Epoch: [40][4700/10010] Time 0.317 (0.327) Data 0.001 (0.001) Loss 2.0113 (1.8018) Prec@1 51.562 (59.081) Prec@5 79.688 (80.881) Epoch: [40][4710/10010] Time 0.316 (0.327) Data 0.001 (0.001) Loss 1.6750 (1.8017) Prec@1 62.500 (59.081) Prec@5 83.594 (80.882) Epoch: [40][4720/10010] Time 0.330 (0.327) Data 0.001 (0.001) Loss 1.5802 (1.8016) Prec@1 70.312 (59.084) Prec@5 84.375 (80.883) Epoch: [40][4730/10010] Time 0.317 (0.327) Data 0.000 (0.001) Loss 1.6688 (1.8016) Prec@1 60.156 (59.081) Prec@5 84.375 (80.882) Epoch: [40][4740/10010] Time 0.325 (0.327) Data 0.000 (0.001) Loss 1.9053 (1.8015) Prec@1 53.125 (59.078) Prec@5 80.469 (80.883) Epoch: [40][4750/10010] Time 0.340 (0.327) Data 0.001 (0.001) Loss 1.6021 (1.8015) Prec@1 57.812 (59.076) Prec@5 85.938 (80.881) Epoch: [40][4760/10010] Time 0.337 (0.327) Data 0.001 (0.001) Loss 1.6447 (1.8016) Prec@1 61.719 (59.077) Prec@5 85.156 (80.882) Epoch: [40][4770/10010] Time 0.315 (0.327) Data 0.000 (0.001) Loss 1.4453 (1.8015) Prec@1 68.750 (59.078) Prec@5 84.375 (80.882) Epoch: [40][4780/10010] Time 0.327 (0.327) Data 0.000 (0.001) Loss 1.9543 (1.8015) Prec@1 55.469 (59.080) Prec@5 83.594 (80.881) Epoch: [40][4790/10010] Time 0.314 (0.327) Data 0.001 (0.001) Loss 1.7935 (1.8017) Prec@1 54.688 (59.076) Prec@5 81.250 (80.880) Epoch: [40][4800/10010] Time 0.328 (0.327) Data 0.001 (0.001) Loss 2.2755 (1.8018) Prec@1 46.094 (59.072) Prec@5 71.875 (80.879) Epoch: [40][4810/10010] Time 0.323 (0.327) Data 0.000 (0.001) Loss 2.0686 (1.8018) Prec@1 52.344 (59.071) Prec@5 78.125 (80.880) Epoch: [40][4820/10010] Time 0.335 (0.327) Data 0.001 (0.001) Loss 1.8605 (1.8019) Prec@1 53.906 (59.069) Prec@5 78.906 (80.879) Epoch: [40][4830/10010] Time 0.320 (0.327) Data 0.001 (0.001) Loss 1.9086 (1.8022) Prec@1 53.906 (59.061) Prec@5 80.469 (80.871) Epoch: [40][4840/10010] Time 0.330 (0.327) Data 0.001 (0.001) Loss 1.5743 (1.8021) Prec@1 60.156 (59.062) Prec@5 86.719 (80.873) Epoch: [40][4850/10010] Time 0.314 (0.327) Data 0.001 (0.001) Loss 1.6004 (1.8021) Prec@1 60.938 (59.060) Prec@5 81.250 (80.873) Epoch: [40][4860/10010] Time 0.335 (0.327) Data 0.001 (0.001) Loss 1.7931 (1.8020) Prec@1 60.938 (59.058) Prec@5 85.938 (80.877) Epoch: [40][4870/10010] Time 0.322 (0.327) Data 0.001 (0.001) Loss 2.0648 (1.8020) Prec@1 53.906 (59.057) Prec@5 73.438 (80.878) Epoch: [40][4880/10010] Time 0.317 (0.327) Data 0.000 (0.001) Loss 1.4080 (1.8019) Prec@1 66.406 (59.057) Prec@5 87.500 (80.877) Epoch: [40][4890/10010] Time 0.331 (0.327) Data 0.001 (0.001) Loss 2.0558 (1.8020) Prec@1 52.344 (59.054) Prec@5 79.688 (80.877) Epoch: [40][4900/10010] Time 0.339 (0.327) Data 0.001 (0.001) Loss 1.7913 (1.8021) Prec@1 53.125 (59.051) Prec@5 82.812 (80.874) Epoch: [40][4910/10010] Time 0.329 (0.327) Data 0.001 (0.001) Loss 1.4250 (1.8023) Prec@1 67.969 (59.047) Prec@5 87.500 (80.873) Epoch: [40][4920/10010] Time 0.334 (0.327) Data 0.000 (0.001) Loss 1.8471 (1.8025) Prec@1 56.250 (59.044) Prec@5 82.812 (80.869) Epoch: [40][4930/10010] Time 0.337 (0.327) Data 0.001 (0.001) Loss 1.7465 (1.8026) Prec@1 57.031 (59.045) Prec@5 82.031 (80.869) Epoch: [40][4940/10010] Time 0.339 (0.327) Data 0.001 (0.001) Loss 1.9474 (1.8026) Prec@1 60.156 (59.044) Prec@5 75.000 (80.866) Epoch: [40][4950/10010] Time 0.335 (0.327) Data 0.001 (0.001) Loss 1.6334 (1.8026) Prec@1 61.719 (59.047) Prec@5 82.812 (80.868) Epoch: [40][4960/10010] Time 0.341 (0.327) Data 0.000 (0.001) Loss 1.5767 (1.8025) Prec@1 60.156 (59.048) Prec@5 85.156 (80.869) Epoch: [40][4970/10010] Time 0.319 (0.327) Data 0.001 (0.001) Loss 1.8896 (1.8028) Prec@1 57.031 (59.045) Prec@5 78.906 (80.863) Epoch: [40][4980/10010] Time 0.336 (0.327) Data 0.001 (0.001) Loss 2.2676 (1.8029) Prec@1 53.906 (59.044) Prec@5 71.875 (80.860) Epoch: [40][4990/10010] Time 0.317 (0.327) Data 0.001 (0.001) Loss 2.2183 (1.8030) Prec@1 54.688 (59.043) Prec@5 70.312 (80.856) Epoch: [40][5000/10010] Time 0.332 (0.327) Data 0.001 (0.001) Loss 1.5598 (1.8029) Prec@1 63.281 (59.043) Prec@5 82.031 (80.857) Epoch: [40][5010/10010] Time 0.337 (0.327) Data 0.000 (0.001) Loss 1.8864 (1.8029) Prec@1 54.688 (59.043) Prec@5 76.562 (80.857) Epoch: [40][5020/10010] Time 0.340 (0.327) Data 0.000 (0.001) Loss 1.8648 (1.8029) Prec@1 64.844 (59.049) Prec@5 80.469 (80.857) Epoch: [40][5030/10010] Time 0.321 (0.327) Data 0.001 (0.001) Loss 2.0417 (1.8031) Prec@1 52.344 (59.042) Prec@5 78.906 (80.854) Epoch: [40][5040/10010] Time 0.319 (0.327) Data 0.001 (0.001) Loss 2.1674 (1.8032) Prec@1 53.125 (59.040) Prec@5 74.219 (80.854) Epoch: [40][5050/10010] Time 0.331 (0.327) Data 0.001 (0.001) Loss 1.9984 (1.8032) Prec@1 55.469 (59.038) Prec@5 76.562 (80.853) Epoch: [40][5060/10010] Time 0.327 (0.327) Data 0.001 (0.001) Loss 1.7226 (1.8034) Prec@1 57.031 (59.034) Prec@5 83.594 (80.851) Epoch: [40][5070/10010] Time 0.329 (0.327) Data 0.001 (0.001) Loss 1.8123 (1.8033) Prec@1 61.719 (59.037) Prec@5 80.469 (80.854) Epoch: [40][5080/10010] Time 0.342 (0.327) Data 0.001 (0.001) Loss 1.9487 (1.8034) Prec@1 52.344 (59.034) Prec@5 79.688 (80.853) Epoch: [40][5090/10010] Time 0.338 (0.327) Data 0.001 (0.001) Loss 1.5934 (1.8033) Prec@1 65.625 (59.035) Prec@5 81.250 (80.854) Epoch: [40][5100/10010] Time 0.321 (0.327) Data 0.000 (0.001) Loss 1.5245 (1.8032) Prec@1 64.844 (59.034) Prec@5 87.500 (80.854) Epoch: [40][5110/10010] Time 0.335 (0.327) Data 0.000 (0.001) Loss 1.8583 (1.8033) Prec@1 53.125 (59.030) Prec@5 80.469 (80.853) Epoch: [40][5120/10010] Time 0.326 (0.327) Data 0.001 (0.001) Loss 1.8980 (1.8031) Prec@1 56.250 (59.032) Prec@5 75.781 (80.855) Epoch: [40][5130/10010] Time 0.316 (0.327) Data 0.000 (0.001) Loss 1.6774 (1.8033) Prec@1 57.031 (59.025) Prec@5 82.812 (80.852) Epoch: [40][5140/10010] Time 0.338 (0.327) Data 0.001 (0.001) Loss 1.8003 (1.8034) Prec@1 59.375 (59.022) Prec@5 80.469 (80.853) Epoch: [40][5150/10010] Time 0.333 (0.327) Data 0.000 (0.001) Loss 1.7608 (1.8033) Prec@1 62.500 (59.020) Prec@5 82.031 (80.856) /data/vision/torralba/deepscene/lib/anaconda2/lib/python2.7/site-packages/PIL/TiffImagePlugin.py:692: UserWarning: Possibly corrupt EXIF data. Expecting to read 1835008 bytes but only got 0. Skipping tag 0 "Skipping tag %s" % (size, len(data), tag)) Epoch: [40][5160/10010] Time 0.322 (0.327) Data 0.000 (0.001) Loss 1.7127 (1.8034) Prec@1 60.156 (59.020) Prec@5 79.688 (80.851) Epoch: [40][5170/10010] Time 0.335 (0.327) Data 0.001 (0.001) Loss 1.8836 (1.8035) Prec@1 58.594 (59.016) Prec@5 79.688 (80.850) Epoch: [40][5180/10010] Time 0.320 (0.327) Data 0.001 (0.001) Loss 1.8769 (1.8037) Prec@1 56.250 (59.011) Prec@5 79.688 (80.846) Epoch: [40][5190/10010] Time 0.335 (0.327) Data 0.001 (0.001) Loss 1.4626 (1.8037) Prec@1 68.750 (59.012) Prec@5 88.281 (80.847) Epoch: [40][5200/10010] Time 0.341 (0.327) Data 0.001 (0.001) Loss 2.1750 (1.8037) Prec@1 56.250 (59.014) Prec@5 76.562 (80.847) Epoch: [40][5210/10010] Time 0.337 (0.327) Data 0.001 (0.001) Loss 1.6553 (1.8039) Prec@1 59.375 (59.014) Prec@5 84.375 (80.846) Epoch: [40][5220/10010] Time 0.319 (0.327) Data 0.001 (0.001) Loss 1.9633 (1.8040) Prec@1 53.906 (59.006) Prec@5 77.344 (80.845) Epoch: [40][5230/10010] Time 0.319 (0.327) Data 0.000 (0.001) Loss 1.8502 (1.8040) Prec@1 61.719 (59.007) Prec@5 82.031 (80.844) Epoch: [40][5240/10010] Time 0.311 (0.327) Data 0.001 (0.001) Loss 1.9858 (1.8039) Prec@1 57.031 (59.008) Prec@5 81.250 (80.846) Epoch: [40][5250/10010] Time 0.315 (0.327) Data 0.001 (0.001) Loss 1.8677 (1.8041) Prec@1 59.375 (59.004) Prec@5 81.250 (80.843) Epoch: [40][5260/10010] Time 0.317 (0.327) Data 0.001 (0.001) Loss 2.1441 (1.8042) Prec@1 53.906 (59.000) Prec@5 81.250 (80.842) Epoch: [40][5270/10010] Time 0.317 (0.327) Data 0.000 (0.001) Loss 1.9623 (1.8042) Prec@1 55.469 (58.996) Prec@5 78.125 (80.844) Epoch: [40][5280/10010] Time 0.317 (0.327) Data 0.001 (0.001) Loss 1.7363 (1.8042) Prec@1 64.062 (58.996) Prec@5 81.250 (80.844) Epoch: [40][5290/10010] Time 0.312 (0.327) Data 0.001 (0.001) Loss 1.8763 (1.8042) Prec@1 59.375 (58.998) Prec@5 74.219 (80.843) Epoch: [40][5300/10010] Time 0.319 (0.327) Data 0.000 (0.001) Loss 1.8857 (1.8042) Prec@1 49.219 (58.997) Prec@5 80.469 (80.844) Epoch: [40][5310/10010] Time 0.336 (0.327) Data 0.001 (0.001) Loss 1.7647 (1.8044) Prec@1 63.281 (58.995) Prec@5 80.469 (80.840) Epoch: [40][5320/10010] Time 0.320 (0.327) Data 0.001 (0.001) Loss 1.8684 (1.8044) Prec@1 56.250 (59.000) Prec@5 77.344 (80.840) Epoch: [40][5330/10010] Time 0.313 (0.327) Data 0.001 (0.001) Loss 1.8682 (1.8047) Prec@1 55.469 (58.991) Prec@5 81.250 (80.833) Epoch: [40][5340/10010] Time 0.321 (0.327) Data 0.000 (0.001) Loss 1.6877 (1.8047) Prec@1 60.156 (58.991) Prec@5 81.250 (80.833) Epoch: [40][5350/10010] Time 0.330 (0.327) Data 0.001 (0.001) Loss 1.5451 (1.8046) Prec@1 61.719 (58.990) Prec@5 83.594 (80.835) Epoch: [40][5360/10010] Time 0.317 (0.327) Data 0.000 (0.001) Loss 2.0262 (1.8046) Prec@1 56.250 (58.992) Prec@5 75.781 (80.834) Epoch: [40][5370/10010] Time 0.320 (0.327) Data 0.000 (0.001) Loss 1.7106 (1.8046) Prec@1 58.594 (58.989) Prec@5 82.031 (80.834) Epoch: [40][5380/10010] Time 0.330 (0.327) Data 0.000 (0.001) Loss 1.9338 (1.8048) Prec@1 53.125 (58.987) Prec@5 79.688 (80.830) Epoch: [40][5390/10010] Time 0.314 (0.327) Data 0.001 (0.001) Loss 1.9681 (1.8048) Prec@1 56.250 (58.989) Prec@5 75.781 (80.830) Epoch: [40][5400/10010] Time 0.311 (0.327) Data 0.001 (0.001) Loss 2.2527 (1.8048) Prec@1 54.688 (58.989) Prec@5 72.656 (80.827) Epoch: [40][5410/10010] Time 0.334 (0.327) Data 0.001 (0.001) Loss 2.2691 (1.8051) Prec@1 51.562 (58.984) Prec@5 71.094 (80.823) Epoch: [40][5420/10010] Time 0.329 (0.327) Data 0.000 (0.001) Loss 1.9298 (1.8051) Prec@1 57.812 (58.985) Prec@5 82.031 (80.825) Epoch: [40][5430/10010] Time 0.320 (0.327) Data 0.001 (0.001) Loss 1.7833 (1.8051) Prec@1 54.688 (58.982) Prec@5 80.469 (80.825) Epoch: [40][5440/10010] Time 0.321 (0.327) Data 0.001 (0.001) Loss 1.6628 (1.8051) Prec@1 64.062 (58.983) Prec@5 82.812 (80.824) Epoch: [40][5450/10010] Time 0.326 (0.327) Data 0.001 (0.001) Loss 2.0453 (1.8052) Prec@1 56.250 (58.982) Prec@5 75.781 (80.823) Epoch: [40][5460/10010] Time 0.328 (0.327) Data 0.000 (0.001) Loss 1.7183 (1.8052) Prec@1 58.594 (58.980) Prec@5 85.938 (80.825) Epoch: [40][5470/10010] Time 0.319 (0.327) Data 0.001 (0.001) Loss 1.6240 (1.8050) Prec@1 60.938 (58.983) Prec@5 82.031 (80.828) Epoch: [40][5480/10010] Time 0.337 (0.327) Data 0.001 (0.001) Loss 1.7369 (1.8049) Prec@1 55.469 (58.984) Prec@5 85.156 (80.831) Epoch: [40][5490/10010] Time 0.338 (0.327) Data 0.000 (0.001) Loss 1.8050 (1.8047) Prec@1 57.031 (58.987) Prec@5 78.125 (80.832) Epoch: [40][5500/10010] Time 0.321 (0.327) Data 0.001 (0.001) Loss 2.0015 (1.8049) Prec@1 56.250 (58.984) Prec@5 76.562 (80.830) Epoch: [40][5510/10010] Time 0.327 (0.327) Data 0.000 (0.001) Loss 1.7997 (1.8049) Prec@1 54.688 (58.983) Prec@5 83.594 (80.832) Epoch: [40][5520/10010] Time 0.339 (0.327) Data 0.000 (0.001) Loss 1.8528 (1.8049) Prec@1 57.812 (58.982) Prec@5 79.688 (80.830) Epoch: [40][5530/10010] Time 0.339 (0.327) Data 0.000 (0.001) Loss 1.8653 (1.8051) Prec@1 54.688 (58.977) Prec@5 78.906 (80.825) Epoch: [40][5540/10010] Time 0.340 (0.327) Data 0.000 (0.001) Loss 1.7643 (1.8052) Prec@1 63.281 (58.977) Prec@5 83.594 (80.826) Epoch: [40][5550/10010] Time 0.324 (0.327) Data 0.001 (0.001) Loss 1.8121 (1.8054) Prec@1 64.062 (58.973) Prec@5 77.344 (80.823) Epoch: [40][5560/10010] Time 0.330 (0.327) Data 0.001 (0.001) Loss 1.7570 (1.8053) Prec@1 57.031 (58.974) Prec@5 82.812 (80.823) Epoch: [40][5570/10010] Time 0.341 (0.327) Data 0.001 (0.001) Loss 2.0185 (1.8054) Prec@1 57.812 (58.975) Prec@5 78.906 (80.822) Epoch: [40][5580/10010] Time 0.314 (0.327) Data 0.001 (0.001) Loss 1.6375 (1.8054) Prec@1 58.594 (58.975) Prec@5 84.375 (80.824) Epoch: [40][5590/10010] Time 0.318 (0.327) Data 0.001 (0.001) Loss 1.5165 (1.8052) Prec@1 65.625 (58.978) Prec@5 83.594 (80.826) Epoch: [40][5600/10010] Time 0.326 (0.327) Data 0.001 (0.001) Loss 1.4860 (1.8053) Prec@1 60.156 (58.973) Prec@5 87.500 (80.825) Epoch: [40][5610/10010] Time 0.320 (0.327) Data 0.000 (0.001) Loss 1.8678 (1.8053) Prec@1 54.688 (58.974) Prec@5 78.906 (80.825) Epoch: [40][5620/10010] Time 0.330 (0.327) Data 0.001 (0.001) Loss 2.0807 (1.8053) Prec@1 55.469 (58.976) Prec@5 76.562 (80.825) Epoch: [40][5630/10010] Time 0.315 (0.327) Data 0.000 (0.001) Loss 1.7165 (1.8053) Prec@1 54.688 (58.975) Prec@5 83.594 (80.824) Epoch: [40][5640/10010] Time 0.315 (0.327) Data 0.001 (0.001) Loss 1.8438 (1.8054) Prec@1 59.375 (58.971) Prec@5 78.906 (80.822) Epoch: [40][5650/10010] Time 0.327 (0.327) Data 0.000 (0.001) Loss 1.9568 (1.8055) Prec@1 56.250 (58.972) Prec@5 77.344 (80.818) Epoch: [40][5660/10010] Time 0.333 (0.327) Data 0.000 (0.001) Loss 2.3923 (1.8056) Prec@1 52.344 (58.968) Prec@5 69.531 (80.815) Epoch: [40][5670/10010] Time 0.321 (0.327) Data 0.000 (0.001) Loss 1.6589 (1.8055) Prec@1 66.406 (58.971) Prec@5 81.250 (80.816) Epoch: [40][5680/10010] Time 0.323 (0.327) Data 0.001 (0.001) Loss 2.1176 (1.8057) Prec@1 54.688 (58.966) Prec@5 76.562 (80.816) Epoch: [40][5690/10010] Time 0.326 (0.327) Data 0.000 (0.001) Loss 1.7321 (1.8057) Prec@1 60.156 (58.967) Prec@5 79.688 (80.815) Epoch: [40][5700/10010] Time 0.327 (0.327) Data 0.001 (0.001) Loss 1.9203 (1.8057) Prec@1 53.125 (58.965) Prec@5 77.344 (80.816) Epoch: [40][5710/10010] Time 0.326 (0.327) Data 0.001 (0.001) Loss 1.8165 (1.8058) Prec@1 55.469 (58.964) Prec@5 77.344 (80.812) Epoch: [40][5720/10010] Time 0.321 (0.327) Data 0.001 (0.001) Loss 1.8064 (1.8058) Prec@1 57.812 (58.962) Prec@5 82.812 (80.813) Epoch: [40][5730/10010] Time 0.332 (0.327) Data 0.000 (0.001) Loss 1.7448 (1.8059) Prec@1 61.719 (58.962) Prec@5 82.812 (80.813) Epoch: [40][5740/10010] Time 0.339 (0.327) Data 0.001 (0.001) Loss 1.9486 (1.8059) Prec@1 64.062 (58.964) Prec@5 80.469 (80.812) Epoch: [40][5750/10010] Time 0.330 (0.327) Data 0.001 (0.001) Loss 2.1169 (1.8060) Prec@1 47.656 (58.963) Prec@5 78.125 (80.809) Epoch: [40][5760/10010] Time 0.333 (0.327) Data 0.001 (0.001) Loss 1.8696 (1.8059) Prec@1 59.375 (58.965) Prec@5 77.344 (80.809) Epoch: [40][5770/10010] Time 0.336 (0.327) Data 0.001 (0.001) Loss 1.5937 (1.8060) Prec@1 60.156 (58.964) Prec@5 85.938 (80.805) Epoch: [40][5780/10010] Time 0.336 (0.327) Data 0.000 (0.001) Loss 2.1761 (1.8060) Prec@1 56.250 (58.964) Prec@5 75.000 (80.805) Epoch: [40][5790/10010] Time 0.338 (0.327) Data 0.001 (0.001) Loss 1.7950 (1.8060) Prec@1 60.156 (58.967) Prec@5 77.344 (80.804) Epoch: [40][5800/10010] Time 0.317 (0.327) Data 0.000 (0.001) Loss 2.0152 (1.8062) Prec@1 53.906 (58.963) Prec@5 76.562 (80.800) Epoch: [40][5810/10010] Time 0.322 (0.327) Data 0.001 (0.001) Loss 1.7084 (1.8061) Prec@1 58.594 (58.961) Prec@5 84.375 (80.800) Epoch: [40][5820/10010] Time 0.337 (0.327) Data 0.001 (0.001) Loss 1.9091 (1.8062) Prec@1 59.375 (58.959) Prec@5 75.781 (80.797) Epoch: [40][5830/10010] Time 0.319 (0.327) Data 0.001 (0.001) Loss 2.0083 (1.8063) Prec@1 53.906 (58.955) Prec@5 78.125 (80.798) Epoch: [40][5840/10010] Time 0.339 (0.327) Data 0.001 (0.001) Loss 1.7619 (1.8063) Prec@1 60.938 (58.954) Prec@5 81.250 (80.799) Epoch: [40][5850/10010] Time 0.314 (0.327) Data 0.001 (0.001) Loss 2.0633 (1.8064) Prec@1 56.250 (58.955) Prec@5 77.344 (80.797) Epoch: [40][5860/10010] Time 0.334 (0.327) Data 0.001 (0.001) Loss 2.1432 (1.8065) Prec@1 52.344 (58.954) Prec@5 74.219 (80.796) Epoch: [40][5870/10010] Time 0.317 (0.327) Data 0.001 (0.001) Loss 1.9149 (1.8065) Prec@1 52.344 (58.953) Prec@5 78.125 (80.796) Epoch: [40][5880/10010] Time 0.317 (0.327) Data 0.000 (0.001) Loss 1.9409 (1.8065) Prec@1 60.938 (58.952) Prec@5 78.906 (80.795) Epoch: [40][5890/10010] Time 0.320 (0.327) Data 0.001 (0.001) Loss 1.9549 (1.8066) Prec@1 55.469 (58.951) Prec@5 77.344 (80.794) Epoch: [40][5900/10010] Time 0.340 (0.327) Data 0.000 (0.001) Loss 1.8759 (1.8066) Prec@1 53.125 (58.952) Prec@5 82.812 (80.794) Epoch: [40][5910/10010] Time 0.339 (0.327) Data 0.001 (0.001) Loss 1.9564 (1.8069) Prec@1 60.156 (58.951) Prec@5 77.344 (80.790) Epoch: [40][5920/10010] Time 0.321 (0.327) Data 0.003 (0.001) Loss 2.1811 (1.8072) Prec@1 53.125 (58.946) Prec@5 74.219 (80.788) Epoch: [40][5930/10010] Time 0.338 (0.327) Data 0.000 (0.001) Loss 2.1022 (1.8074) Prec@1 55.469 (58.946) Prec@5 75.781 (80.785) Epoch: [40][5940/10010] Time 0.315 (0.327) Data 0.000 (0.001) Loss 1.6850 (1.8073) Prec@1 64.844 (58.948) Prec@5 82.812 (80.786) Epoch: [40][5950/10010] Time 0.341 (0.327) Data 0.000 (0.001) Loss 1.8929 (1.8075) Prec@1 56.250 (58.944) Prec@5 78.906 (80.784) Epoch: [40][5960/10010] Time 0.335 (0.327) Data 0.001 (0.001) Loss 1.6761 (1.8075) Prec@1 59.375 (58.943) Prec@5 81.250 (80.783) Epoch: [40][5970/10010] Time 0.338 (0.327) Data 0.001 (0.001) Loss 1.7177 (1.8075) Prec@1 61.719 (58.945) Prec@5 82.031 (80.782) Epoch: [40][5980/10010] Time 0.316 (0.327) Data 0.001 (0.001) Loss 1.7501 (1.8076) Prec@1 56.250 (58.944) Prec@5 81.250 (80.779) Epoch: [40][5990/10010] Time 0.324 (0.327) Data 0.001 (0.001) Loss 1.9451 (1.8076) Prec@1 60.156 (58.945) Prec@5 77.344 (80.781) Epoch: [40][6000/10010] Time 0.338 (0.327) Data 0.001 (0.001) Loss 2.4466 (1.8077) Prec@1 51.562 (58.944) Prec@5 71.875 (80.779) Epoch: [40][6010/10010] Time 0.336 (0.327) Data 0.001 (0.001) Loss 1.6519 (1.8077) Prec@1 64.062 (58.943) Prec@5 82.812 (80.779) Epoch: [40][6020/10010] Time 0.319 (0.327) Data 0.001 (0.001) Loss 1.5799 (1.8076) Prec@1 67.188 (58.945) Prec@5 82.031 (80.778) Epoch: [40][6030/10010] Time 0.336 (0.327) Data 0.001 (0.001) Loss 1.9717 (1.8076) Prec@1 53.125 (58.944) Prec@5 78.125 (80.778) Epoch: [40][6040/10010] Time 0.322 (0.327) Data 0.001 (0.001) Loss 1.4963 (1.8074) Prec@1 65.625 (58.949) Prec@5 84.375 (80.780) Epoch: [40][6050/10010] Time 0.322 (0.327) Data 0.001 (0.001) Loss 1.8636 (1.8074) Prec@1 57.031 (58.949) Prec@5 79.688 (80.782) Epoch: [40][6060/10010] Time 0.339 (0.327) Data 0.001 (0.001) Loss 1.5041 (1.8074) Prec@1 64.844 (58.947) Prec@5 82.031 (80.780) Epoch: [40][6070/10010] Time 0.336 (0.327) Data 0.000 (0.001) Loss 1.7022 (1.8073) Prec@1 61.719 (58.948) Prec@5 82.031 (80.782) Epoch: [40][6080/10010] Time 0.318 (0.327) Data 0.001 (0.001) Loss 2.0693 (1.8073) Prec@1 53.125 (58.946) Prec@5 76.562 (80.781) Epoch: [40][6090/10010] Time 0.330 (0.327) Data 0.001 (0.001) Loss 2.1147 (1.8075) Prec@1 53.125 (58.942) Prec@5 75.000 (80.779) Epoch: [40][6100/10010] Time 0.336 (0.327) Data 0.001 (0.001) Loss 1.3926 (1.8073) Prec@1 70.312 (58.948) Prec@5 85.156 (80.781) Epoch: [40][6110/10010] Time 0.329 (0.327) Data 0.001 (0.001) Loss 1.8641 (1.8074) Prec@1 60.156 (58.945) Prec@5 79.688 (80.779) Epoch: [40][6120/10010] Time 0.326 (0.327) Data 0.001 (0.001) Loss 1.6885 (1.8073) Prec@1 57.031 (58.949) Prec@5 83.594 (80.781) Epoch: [40][6130/10010] Time 0.321 (0.327) Data 0.001 (0.001) Loss 1.7446 (1.8071) Prec@1 59.375 (58.950) Prec@5 79.688 (80.783) Epoch: [40][6140/10010] Time 0.331 (0.327) Data 0.000 (0.001) Loss 1.8442 (1.8072) Prec@1 59.375 (58.952) Prec@5 79.688 (80.782) Epoch: [40][6150/10010] Time 0.330 (0.327) Data 0.001 (0.001) Loss 1.8646 (1.8072) Prec@1 53.125 (58.951) Prec@5 82.031 (80.784) Epoch: [40][6160/10010] Time 0.320 (0.327) Data 0.001 (0.001) Loss 1.7532 (1.8073) Prec@1 63.281 (58.949) Prec@5 80.469 (80.781) Epoch: [40][6170/10010] Time 0.318 (0.327) Data 0.001 (0.001) Loss 2.0691 (1.8072) Prec@1 53.125 (58.951) Prec@5 75.000 (80.781) Epoch: [40][6180/10010] Time 0.335 (0.327) Data 0.001 (0.001) Loss 1.8985 (1.8072) Prec@1 59.375 (58.948) Prec@5 81.250 (80.780) Epoch: [40][6190/10010] Time 0.338 (0.327) Data 0.001 (0.001) Loss 1.7484 (1.8071) Prec@1 62.500 (58.950) Prec@5 79.688 (80.781) Epoch: [40][6200/10010] Time 0.315 (0.327) Data 0.001 (0.001) Loss 2.0161 (1.8072) Prec@1 54.688 (58.947) Prec@5 78.906 (80.780) Epoch: [40][6210/10010] Time 0.336 (0.327) Data 0.001 (0.001) Loss 1.9100 (1.8072) Prec@1 60.938 (58.948) Prec@5 77.344 (80.780) Epoch: [40][6220/10010] Time 0.316 (0.327) Data 0.000 (0.001) Loss 1.6739 (1.8073) Prec@1 58.594 (58.945) Prec@5 83.594 (80.778) Epoch: [40][6230/10010] Time 0.332 (0.327) Data 0.001 (0.001) Loss 1.8897 (1.8073) Prec@1 58.594 (58.943) Prec@5 81.250 (80.778) Epoch: [40][6240/10010] Time 0.335 (0.327) Data 0.001 (0.001) Loss 2.0816 (1.8075) Prec@1 54.688 (58.940) Prec@5 75.000 (80.774) Epoch: [40][6250/10010] Time 0.319 (0.327) Data 0.001 (0.001) Loss 1.7511 (1.8076) Prec@1 57.031 (58.938) Prec@5 80.469 (80.773) Epoch: [40][6260/10010] Time 0.315 (0.327) Data 0.001 (0.001) Loss 1.7243 (1.8076) Prec@1 62.500 (58.937) Prec@5 81.250 (80.772) Epoch: [40][6270/10010] Time 0.329 (0.327) Data 0.001 (0.001) Loss 1.6579 (1.8075) Prec@1 61.719 (58.939) Prec@5 78.906 (80.773) Epoch: [40][6280/10010] Time 0.332 (0.327) Data 0.001 (0.001) Loss 1.7510 (1.8073) Prec@1 53.125 (58.943) Prec@5 82.812 (80.777) Epoch: [40][6290/10010] Time 0.340 (0.327) Data 0.001 (0.001) Loss 1.6648 (1.8074) Prec@1 59.375 (58.939) Prec@5 82.031 (80.775) Epoch: [40][6300/10010] Time 0.337 (0.327) Data 0.001 (0.001) Loss 1.9504 (1.8074) Prec@1 58.594 (58.942) Prec@5 79.688 (80.775) Epoch: [40][6310/10010] Time 0.325 (0.327) Data 0.001 (0.001) Loss 1.9433 (1.8074) Prec@1 54.688 (58.942) Prec@5 78.906 (80.773) Epoch: [40][6320/10010] Time 0.319 (0.327) Data 0.001 (0.001) Loss 2.1027 (1.8074) Prec@1 56.250 (58.944) Prec@5 82.812 (80.775) Epoch: [40][6330/10010] Time 0.318 (0.327) Data 0.001 (0.001) Loss 1.7710 (1.8074) Prec@1 58.594 (58.943) Prec@5 80.469 (80.773) Epoch: [40][6340/10010] Time 0.333 (0.327) Data 0.000 (0.001) Loss 2.0071 (1.8075) Prec@1 56.250 (58.944) Prec@5 80.469 (80.772) Epoch: [40][6350/10010] Time 0.327 (0.327) Data 0.001 (0.001) Loss 1.8908 (1.8075) Prec@1 58.594 (58.946) Prec@5 78.906 (80.772) Epoch: [40][6360/10010] Time 0.340 (0.327) Data 0.001 (0.001) Loss 1.6812 (1.8075) Prec@1 60.156 (58.946) Prec@5 82.812 (80.773) Epoch: [40][6370/10010] Time 0.327 (0.327) Data 0.001 (0.001) Loss 1.9901 (1.8076) Prec@1 56.250 (58.944) Prec@5 76.562 (80.771) Epoch: [40][6380/10010] Time 0.318 (0.327) Data 0.000 (0.001) Loss 1.6079 (1.8076) Prec@1 63.281 (58.947) Prec@5 85.156 (80.770) Epoch: [40][6390/10010] Time 0.328 (0.327) Data 0.001 (0.001) Loss 1.6604 (1.8074) Prec@1 60.156 (58.950) Prec@5 82.812 (80.771) Epoch: [40][6400/10010] Time 0.317 (0.327) Data 0.000 (0.001) Loss 1.8225 (1.8075) Prec@1 63.281 (58.947) Prec@5 79.688 (80.771) Epoch: [40][6410/10010] Time 0.329 (0.327) Data 0.001 (0.001) Loss 1.7557 (1.8076) Prec@1 55.469 (58.943) Prec@5 81.250 (80.770) Epoch: [40][6420/10010] Time 0.335 (0.327) Data 0.000 (0.001) Loss 1.7239 (1.8077) Prec@1 62.500 (58.943) Prec@5 82.031 (80.769) Epoch: [40][6430/10010] Time 0.315 (0.327) Data 0.001 (0.001) Loss 2.0827 (1.8077) Prec@1 57.031 (58.940) Prec@5 71.875 (80.768) Epoch: [40][6440/10010] Time 0.341 (0.327) Data 0.001 (0.001) Loss 1.8478 (1.8076) Prec@1 57.812 (58.941) Prec@5 78.906 (80.769) Epoch: [40][6450/10010] Time 0.324 (0.327) Data 0.001 (0.001) Loss 1.6071 (1.8078) Prec@1 59.375 (58.940) Prec@5 82.031 (80.767) Epoch: [40][6460/10010] Time 0.330 (0.327) Data 0.000 (0.001) Loss 1.7871 (1.8078) Prec@1 60.156 (58.940) Prec@5 82.031 (80.768) Epoch: [40][6470/10010] Time 0.321 (0.327) Data 0.001 (0.001) Loss 1.8311 (1.8076) Prec@1 62.500 (58.943) Prec@5 80.469 (80.770) Epoch: [40][6480/10010] Time 0.326 (0.327) Data 0.001 (0.001) Loss 1.9890 (1.8076) Prec@1 54.688 (58.942) Prec@5 78.906 (80.771) Epoch: [40][6490/10010] Time 0.318 (0.327) Data 0.001 (0.001) Loss 1.9732 (1.8075) Prec@1 58.594 (58.942) Prec@5 75.000 (80.772) Epoch: [40][6500/10010] Time 0.317 (0.327) Data 0.001 (0.001) Loss 1.5046 (1.8075) Prec@1 63.281 (58.945) Prec@5 85.156 (80.769) Epoch: [40][6510/10010] Time 0.313 (0.327) Data 0.001 (0.001) Loss 1.9003 (1.8076) Prec@1 55.469 (58.943) Prec@5 79.688 (80.768) Epoch: [40][6520/10010] Time 0.331 (0.327) Data 0.001 (0.001) Loss 1.8767 (1.8076) Prec@1 57.812 (58.944) Prec@5 79.688 (80.768) Epoch: [40][6530/10010] Time 0.319 (0.327) Data 0.000 (0.001) Loss 1.8277 (1.8075) Prec@1 57.812 (58.945) Prec@5 81.250 (80.769) Epoch: [40][6540/10010] Time 0.328 (0.327) Data 0.000 (0.001) Loss 1.3362 (1.8074) Prec@1 67.188 (58.945) Prec@5 89.062 (80.770) Epoch: [40][6550/10010] Time 0.324 (0.327) Data 0.001 (0.001) Loss 1.6328 (1.8074) Prec@1 61.719 (58.947) Prec@5 82.031 (80.770) Epoch: [40][6560/10010] Time 0.337 (0.327) Data 0.001 (0.001) Loss 1.6425 (1.8072) Prec@1 64.062 (58.949) Prec@5 84.375 (80.772) Epoch: [40][6570/10010] Time 0.323 (0.327) Data 0.001 (0.001) Loss 1.7132 (1.8072) Prec@1 60.938 (58.947) Prec@5 78.125 (80.771) Epoch: [40][6580/10010] Time 0.343 (0.327) Data 0.001 (0.001) Loss 1.9258 (1.8072) Prec@1 53.125 (58.947) Prec@5 78.125 (80.772) Epoch: [40][6590/10010] Time 0.311 (0.327) Data 0.001 (0.001) Loss 1.7035 (1.8072) Prec@1 63.281 (58.945) Prec@5 82.812 (80.772) Epoch: [40][6600/10010] Time 0.321 (0.327) Data 0.001 (0.001) Loss 1.6657 (1.8073) Prec@1 62.500 (58.944) Prec@5 82.031 (80.772) Epoch: [40][6610/10010] Time 0.330 (0.327) Data 0.001 (0.001) Loss 1.7874 (1.8072) Prec@1 58.594 (58.945) Prec@5 82.031 (80.774) Epoch: [40][6620/10010] Time 0.318 (0.327) Data 0.001 (0.001) Loss 2.1058 (1.8073) Prec@1 51.562 (58.944) Prec@5 73.438 (80.771) Epoch: [40][6630/10010] Time 0.332 (0.327) Data 0.001 (0.001) Loss 1.7328 (1.8073) Prec@1 60.156 (58.946) Prec@5 79.688 (80.772) Epoch: [40][6640/10010] Time 0.340 (0.327) Data 0.001 (0.001) Loss 1.7527 (1.8072) Prec@1 58.594 (58.948) Prec@5 85.156 (80.775) Epoch: [40][6650/10010] Time 0.337 (0.327) Data 0.001 (0.001) Loss 1.8247 (1.8072) Prec@1 57.031 (58.949) Prec@5 76.562 (80.773) Epoch: [40][6660/10010] Time 0.320 (0.327) Data 0.001 (0.001) Loss 1.9125 (1.8072) Prec@1 58.594 (58.947) Prec@5 78.906 (80.772) Epoch: [40][6670/10010] Time 0.336 (0.327) Data 0.001 (0.001) Loss 1.8383 (1.8071) Prec@1 57.812 (58.951) Prec@5 78.125 (80.772) Epoch: [40][6680/10010] Time 0.336 (0.327) Data 0.001 (0.001) Loss 2.1497 (1.8072) Prec@1 54.688 (58.952) Prec@5 73.438 (80.771) Epoch: [40][6690/10010] Time 0.321 (0.327) Data 0.000 (0.001) Loss 1.8329 (1.8072) Prec@1 55.469 (58.948) Prec@5 81.250 (80.770) Epoch: [40][6700/10010] Time 0.338 (0.327) Data 0.001 (0.001) Loss 1.8284 (1.8074) Prec@1 59.375 (58.944) Prec@5 82.031 (80.770) Epoch: [40][6710/10010] Time 0.333 (0.327) Data 0.001 (0.001) Loss 1.8013 (1.8074) Prec@1 62.500 (58.945) Prec@5 82.031 (80.769) Epoch: [40][6720/10010] Time 0.330 (0.327) Data 0.001 (0.001) Loss 1.8638 (1.8073) Prec@1 60.156 (58.947) Prec@5 82.031 (80.770) Epoch: [40][6730/10010] Time 0.322 (0.327) Data 0.000 (0.001) Loss 1.7318 (1.8074) Prec@1 57.812 (58.949) Prec@5 82.031 (80.768) Epoch: [40][6740/10010] Time 0.327 (0.327) Data 0.001 (0.001) Loss 1.9114 (1.8073) Prec@1 53.125 (58.949) Prec@5 78.125 (80.768) Epoch: [40][6750/10010] Time 0.337 (0.327) Data 0.001 (0.001) Loss 1.7467 (1.8074) Prec@1 64.844 (58.949) Prec@5 80.469 (80.767) Epoch: [40][6760/10010] Time 0.323 (0.327) Data 0.000 (0.001) Loss 1.6061 (1.8074) Prec@1 59.375 (58.947) Prec@5 84.375 (80.767) Epoch: [40][6770/10010] Time 0.318 (0.327) Data 0.001 (0.001) Loss 1.7098 (1.8075) Prec@1 59.375 (58.946) Prec@5 82.812 (80.767) Epoch: [40][6780/10010] Time 0.318 (0.327) Data 0.001 (0.001) Loss 1.5365 (1.8076) Prec@1 62.500 (58.944) Prec@5 85.156 (80.766) /data/vision/torralba/deepscene/lib/anaconda2/lib/python2.7/site-packages/PIL/TiffImagePlugin.py:709: UserWarning: Corrupt EXIF data. Expecting to read 4 bytes but only got 0. warnings.warn(str(msg)) Epoch: [40][6790/10010] Time 0.322 (0.327) Data 0.000 (0.001) Loss 1.6117 (1.8076) Prec@1 61.719 (58.944) Prec@5 83.594 (80.766) Epoch: [40][6800/10010] Time 0.317 (0.327) Data 0.000 (0.001) Loss 1.8870 (1.8076) Prec@1 56.250 (58.947) Prec@5 80.469 (80.767) Epoch: [40][6810/10010] Time 0.321 (0.327) Data 0.001 (0.001) Loss 1.7949 (1.8076) Prec@1 60.938 (58.947) Prec@5 83.594 (80.767) Epoch: [40][6820/10010] Time 0.329 (0.327) Data 0.000 (0.001) Loss 1.9704 (1.8077) Prec@1 51.562 (58.945) Prec@5 79.688 (80.765) Epoch: [40][6830/10010] Time 0.334 (0.327) Data 0.001 (0.001) Loss 1.8949 (1.8077) Prec@1 60.156 (58.946) Prec@5 77.344 (80.763) Epoch: [40][6840/10010] Time 0.337 (0.327) Data 0.000 (0.001) Loss 1.7544 (1.8076) Prec@1 58.594 (58.947) Prec@5 84.375 (80.764) Epoch: [40][6850/10010] Time 0.331 (0.327) Data 0.001 (0.001) Loss 1.7944 (1.8077) Prec@1 61.719 (58.948) Prec@5 79.688 (80.764) Epoch: [40][6860/10010] Time 0.338 (0.327) Data 0.001 (0.001) Loss 1.9660 (1.8078) Prec@1 54.688 (58.945) Prec@5 80.469 (80.763) Epoch: [40][6870/10010] Time 0.332 (0.327) Data 0.000 (0.001) Loss 2.0512 (1.8079) Prec@1 57.812 (58.943) Prec@5 74.219 (80.760) Epoch: [40][6880/10010] Time 0.347 (0.327) Data 0.001 (0.001) Loss 1.7374 (1.8079) Prec@1 56.250 (58.942) Prec@5 80.469 (80.761) Epoch: [40][6890/10010] Time 0.330 (0.327) Data 0.000 (0.001) Loss 1.5522 (1.8079) Prec@1 59.375 (58.942) Prec@5 84.375 (80.760) Epoch: [40][6900/10010] Time 0.334 (0.327) Data 0.001 (0.001) Loss 1.7297 (1.8080) Prec@1 60.156 (58.940) Prec@5 83.594 (80.760) Epoch: [40][6910/10010] Time 0.326 (0.327) Data 0.000 (0.001) Loss 1.7118 (1.8081) Prec@1 57.812 (58.940) Prec@5 83.594 (80.759) Epoch: [40][6920/10010] Time 0.319 (0.327) Data 0.001 (0.001) Loss 1.7731 (1.8081) Prec@1 58.594 (58.943) Prec@5 80.469 (80.760) Epoch: [40][6930/10010] Time 0.320 (0.327) Data 0.001 (0.001) Loss 1.7899 (1.8079) Prec@1 58.594 (58.945) Prec@5 79.688 (80.763) Epoch: [40][6940/10010] Time 0.340 (0.327) Data 0.001 (0.001) Loss 1.9673 (1.8080) Prec@1 57.812 (58.943) Prec@5 79.688 (80.762) Epoch: [40][6950/10010] Time 0.329 (0.327) Data 0.001 (0.001) Loss 1.4872 (1.8079) Prec@1 68.750 (58.942) Prec@5 82.031 (80.760) Epoch: [40][6960/10010] Time 0.338 (0.327) Data 0.001 (0.001) Loss 1.7146 (1.8080) Prec@1 63.281 (58.941) Prec@5 78.906 (80.758) Epoch: [40][6970/10010] Time 0.339 (0.327) Data 0.000 (0.001) Loss 1.9026 (1.8080) Prec@1 52.344 (58.941) Prec@5 82.812 (80.760) Epoch: [40][6980/10010] Time 0.337 (0.327) Data 0.001 (0.001) Loss 1.7256 (1.8080) Prec@1 60.156 (58.938) Prec@5 82.812 (80.759) Epoch: [40][6990/10010] Time 0.340 (0.327) Data 0.001 (0.001) Loss 1.9088 (1.8080) Prec@1 57.031 (58.939) Prec@5 80.469 (80.761) Epoch: [40][7000/10010] Time 0.320 (0.327) Data 0.001 (0.001) Loss 2.2403 (1.8081) Prec@1 50.781 (58.936) Prec@5 75.781 (80.760) Epoch: [40][7010/10010] Time 0.343 (0.327) Data 0.001 (0.001) Loss 1.6333 (1.8080) Prec@1 60.938 (58.938) Prec@5 84.375 (80.762) Epoch: [40][7020/10010] Time 0.331 (0.327) Data 0.001 (0.001) Loss 1.9338 (1.8080) Prec@1 56.250 (58.937) Prec@5 78.125 (80.762) Epoch: [40][7030/10010] Time 0.335 (0.327) Data 0.000 (0.001) Loss 1.6826 (1.8079) Prec@1 64.062 (58.937) Prec@5 81.250 (80.762) Epoch: [40][7040/10010] Time 0.314 (0.327) Data 0.001 (0.001) Loss 1.8999 (1.8081) Prec@1 60.938 (58.935) Prec@5 76.562 (80.759) Epoch: [40][7050/10010] Time 0.309 (0.327) Data 0.001 (0.001) Loss 2.0745 (1.8082) Prec@1 55.469 (58.934) Prec@5 74.219 (80.758) Epoch: [40][7060/10010] Time 0.323 (0.327) Data 0.001 (0.001) Loss 2.0065 (1.8082) Prec@1 58.594 (58.934) Prec@5 77.344 (80.756) Epoch: [40][7070/10010] Time 0.333 (0.327) Data 0.001 (0.001) Loss 1.6644 (1.8083) Prec@1 64.062 (58.933) Prec@5 84.375 (80.755) Epoch: [40][7080/10010] Time 0.314 (0.327) Data 0.001 (0.001) Loss 1.5186 (1.8083) Prec@1 59.375 (58.933) Prec@5 84.375 (80.753) Epoch: [40][7090/10010] Time 0.324 (0.327) Data 0.001 (0.001) Loss 1.8356 (1.8084) Prec@1 58.594 (58.931) Prec@5 80.469 (80.752) Epoch: [40][7100/10010] Time 0.320 (0.327) Data 0.001 (0.001) Loss 1.6513 (1.8083) Prec@1 60.938 (58.930) Prec@5 82.031 (80.751) Epoch: [40][7110/10010] Time 0.337 (0.327) Data 0.001 (0.001) Loss 1.8139 (1.8084) Prec@1 57.031 (58.928) Prec@5 84.375 (80.751) Epoch: [40][7120/10010] Time 0.330 (0.327) Data 0.001 (0.001) Loss 2.1365 (1.8086) Prec@1 53.125 (58.927) Prec@5 75.781 (80.748) Epoch: [40][7130/10010] Time 0.323 (0.327) Data 0.001 (0.001) Loss 1.5048 (1.8086) Prec@1 62.500 (58.925) Prec@5 83.594 (80.746) Epoch: [40][7140/10010] Time 0.321 (0.327) Data 0.001 (0.001) Loss 2.1515 (1.8086) Prec@1 55.469 (58.925) Prec@5 76.562 (80.746) Epoch: [40][7150/10010] Time 0.318 (0.327) Data 0.001 (0.001) Loss 1.8548 (1.8086) Prec@1 57.812 (58.926) Prec@5 79.688 (80.745) Epoch: [40][7160/10010] Time 0.325 (0.327) Data 0.001 (0.001) Loss 1.7506 (1.8087) Prec@1 64.844 (58.926) Prec@5 77.344 (80.743) Epoch: [40][7170/10010] Time 0.322 (0.327) Data 0.000 (0.001) Loss 1.9041 (1.8089) Prec@1 60.156 (58.924) Prec@5 79.688 (80.741) Epoch: [40][7180/10010] Time 0.320 (0.327) Data 0.001 (0.001) Loss 1.8706 (1.8090) Prec@1 65.625 (58.922) Prec@5 85.156 (80.740) Epoch: [40][7190/10010] Time 0.323 (0.327) Data 0.001 (0.001) Loss 2.0253 (1.8091) Prec@1 50.000 (58.918) Prec@5 76.562 (80.738) Epoch: [40][7200/10010] Time 0.320 (0.327) Data 0.001 (0.001) Loss 1.6018 (1.8090) Prec@1 63.281 (58.917) Prec@5 83.594 (80.739) Epoch: [40][7210/10010] Time 0.336 (0.327) Data 0.000 (0.001) Loss 2.1784 (1.8091) Prec@1 53.906 (58.917) Prec@5 77.344 (80.738) Epoch: [40][7220/10010] Time 0.331 (0.327) Data 0.001 (0.001) Loss 1.8554 (1.8092) Prec@1 57.031 (58.915) Prec@5 79.688 (80.738) Epoch: [40][7230/10010] Time 0.329 (0.327) Data 0.001 (0.001) Loss 1.8773 (1.8091) Prec@1 57.812 (58.915) Prec@5 80.469 (80.736) Epoch: [40][7240/10010] Time 0.323 (0.327) Data 0.001 (0.001) Loss 1.9173 (1.8092) Prec@1 60.938 (58.915) Prec@5 78.906 (80.736) Epoch: [40][7250/10010] Time 0.316 (0.327) Data 0.001 (0.001) Loss 1.6694 (1.8092) Prec@1 60.938 (58.915) Prec@5 82.812 (80.737) Epoch: [40][7260/10010] Time 0.321 (0.327) Data 0.001 (0.001) Loss 1.4374 (1.8092) Prec@1 63.281 (58.914) Prec@5 85.156 (80.737) Epoch: [40][7270/10010] Time 0.332 (0.327) Data 0.000 (0.001) Loss 1.7084 (1.8091) Prec@1 55.469 (58.915) Prec@5 81.250 (80.737) Epoch: [40][7280/10010] Time 0.320 (0.327) Data 0.001 (0.001) Loss 1.9353 (1.8092) Prec@1 58.594 (58.914) Prec@5 77.344 (80.735) Epoch: [40][7290/10010] Time 0.333 (0.327) Data 0.001 (0.001) Loss 1.8007 (1.8092) Prec@1 57.031 (58.914) Prec@5 82.031 (80.736) Epoch: [40][7300/10010] Time 0.334 (0.327) Data 0.001 (0.001) Loss 2.1496 (1.8093) Prec@1 53.125 (58.913) Prec@5 78.125 (80.738) Epoch: [40][7310/10010] Time 0.338 (0.327) Data 0.001 (0.001) Loss 2.0077 (1.8092) Prec@1 54.688 (58.916) Prec@5 77.344 (80.738) Epoch: [40][7320/10010] Time 0.332 (0.327) Data 0.001 (0.001) Loss 1.6697 (1.8092) Prec@1 65.625 (58.916) Prec@5 82.031 (80.737) Epoch: [40][7330/10010] Time 0.308 (0.327) Data 0.001 (0.001) Loss 1.7850 (1.8091) Prec@1 60.156 (58.918) Prec@5 82.031 (80.736) Epoch: [40][7340/10010] Time 0.329 (0.327) Data 0.001 (0.001) Loss 1.5272 (1.8092) Prec@1 62.500 (58.916) Prec@5 79.688 (80.735) Epoch: [40][7350/10010] Time 0.320 (0.327) Data 0.001 (0.001) Loss 1.9877 (1.8093) Prec@1 57.031 (58.913) Prec@5 77.344 (80.733) Epoch: [40][7360/10010] Time 0.320 (0.327) Data 0.000 (0.001) Loss 1.6892 (1.8092) Prec@1 61.719 (58.914) Prec@5 80.469 (80.733) Epoch: [40][7370/10010] Time 0.313 (0.327) Data 0.000 (0.001) Loss 1.7878 (1.8092) Prec@1 55.469 (58.912) Prec@5 85.156 (80.734) Epoch: [40][7380/10010] Time 0.318 (0.327) Data 0.001 (0.001) Loss 2.0463 (1.8091) Prec@1 55.469 (58.913) Prec@5 78.125 (80.734) Epoch: [40][7390/10010] Time 0.330 (0.327) Data 0.001 (0.001) Loss 1.7136 (1.8092) Prec@1 57.031 (58.912) Prec@5 81.250 (80.733) Epoch: [40][7400/10010] Time 0.324 (0.327) Data 0.001 (0.001) Loss 1.5973 (1.8091) Prec@1 63.281 (58.915) Prec@5 83.594 (80.734) Epoch: [40][7410/10010] Time 0.315 (0.327) Data 0.000 (0.001) Loss 1.6317 (1.8091) Prec@1 60.938 (58.914) Prec@5 83.594 (80.733) Epoch: [40][7420/10010] Time 0.327 (0.327) Data 0.001 (0.001) Loss 2.0627 (1.8091) Prec@1 50.781 (58.914) Prec@5 79.688 (80.733) Epoch: [40][7430/10010] Time 0.320 (0.327) Data 0.001 (0.001) Loss 1.7792 (1.8090) Prec@1 58.594 (58.917) Prec@5 78.906 (80.734) Epoch: [40][7440/10010] Time 0.314 (0.327) Data 0.001 (0.001) Loss 1.9217 (1.8090) Prec@1 57.031 (58.919) Prec@5 78.906 (80.732) Epoch: [40][7450/10010] Time 0.328 (0.327) Data 0.001 (0.001) Loss 1.6311 (1.8090) Prec@1 60.156 (58.918) Prec@5 84.375 (80.730) Epoch: [40][7460/10010] Time 0.328 (0.327) Data 0.001 (0.001) Loss 1.9760 (1.8090) Prec@1 53.906 (58.918) Prec@5 82.031 (80.731) Epoch: [40][7470/10010] Time 0.315 (0.327) Data 0.001 (0.001) Loss 1.8854 (1.8090) Prec@1 55.469 (58.917) Prec@5 75.781 (80.730) Epoch: [40][7480/10010] Time 0.315 (0.327) Data 0.001 (0.001) Loss 2.0052 (1.8089) Prec@1 57.812 (58.918) Prec@5 79.688 (80.731) Epoch: [40][7490/10010] Time 0.320 (0.327) Data 0.001 (0.001) Loss 1.8677 (1.8090) Prec@1 57.031 (58.917) Prec@5 84.375 (80.730) Epoch: [40][7500/10010] Time 0.320 (0.327) Data 0.001 (0.001) Loss 1.8517 (1.8089) Prec@1 62.500 (58.921) Prec@5 77.344 (80.730) Epoch: [40][7510/10010] Time 0.321 (0.327) Data 0.001 (0.001) Loss 1.8983 (1.8090) Prec@1 60.938 (58.918) Prec@5 80.469 (80.728) Epoch: [40][7520/10010] Time 0.316 (0.327) Data 0.001 (0.001) Loss 1.7989 (1.8090) Prec@1 57.812 (58.919) Prec@5 83.594 (80.728) Epoch: [40][7530/10010] Time 0.322 (0.327) Data 0.001 (0.001) Loss 1.9100 (1.8090) Prec@1 60.938 (58.923) Prec@5 76.562 (80.727) Epoch: [40][7540/10010] Time 0.315 (0.327) Data 0.002 (0.001) Loss 1.7955 (1.8090) Prec@1 64.062 (58.922) Prec@5 82.031 (80.727) Epoch: [40][7550/10010] Time 0.331 (0.327) Data 0.001 (0.001) Loss 1.7997 (1.8090) Prec@1 59.375 (58.922) Prec@5 78.906 (80.728) Epoch: [40][7560/10010] Time 0.318 (0.327) Data 0.000 (0.001) Loss 1.6939 (1.8089) Prec@1 58.594 (58.923) Prec@5 82.031 (80.729) Epoch: [40][7570/10010] Time 0.321 (0.327) Data 0.001 (0.001) Loss 1.7162 (1.8089) Prec@1 61.719 (58.923) Prec@5 85.156 (80.727) Epoch: [40][7580/10010] Time 0.319 (0.327) Data 0.000 (0.001) Loss 1.7868 (1.8091) Prec@1 56.250 (58.921) Prec@5 78.906 (80.726) Epoch: [40][7590/10010] Time 0.328 (0.327) Data 0.001 (0.001) Loss 1.8416 (1.8092) Prec@1 57.812 (58.919) Prec@5 83.594 (80.725) Epoch: [40][7600/10010] Time 0.320 (0.327) Data 0.000 (0.001) Loss 1.9033 (1.8093) Prec@1 57.812 (58.920) Prec@5 75.000 (80.723) Epoch: [40][7610/10010] Time 0.330 (0.327) Data 0.000 (0.001) Loss 1.7731 (1.8093) Prec@1 54.688 (58.918) Prec@5 80.469 (80.723) Epoch: [40][7620/10010] Time 0.321 (0.327) Data 0.001 (0.001) Loss 2.1106 (1.8094) Prec@1 53.125 (58.917) Prec@5 75.781 (80.722) Epoch: [40][7630/10010] Time 0.329 (0.327) Data 0.001 (0.001) Loss 2.1723 (1.8092) Prec@1 50.781 (58.921) Prec@5 78.125 (80.724) Epoch: [40][7640/10010] Time 0.338 (0.327) Data 0.001 (0.001) Loss 1.6925 (1.8092) Prec@1 55.469 (58.920) Prec@5 84.375 (80.724) Epoch: [40][7650/10010] Time 0.331 (0.327) Data 0.001 (0.001) Loss 1.5371 (1.8091) Prec@1 64.844 (58.922) Prec@5 82.812 (80.724) Epoch: [40][7660/10010] Time 0.329 (0.327) Data 0.003 (0.001) Loss 1.6284 (1.8092) Prec@1 65.625 (58.921) Prec@5 82.812 (80.722) Epoch: [40][7670/10010] Time 0.331 (0.327) Data 0.001 (0.001) Loss 1.8878 (1.8092) Prec@1 58.594 (58.920) Prec@5 82.812 (80.724) Epoch: [40][7680/10010] Time 0.337 (0.327) Data 0.001 (0.001) Loss 1.6258 (1.8093) Prec@1 58.594 (58.920) Prec@5 82.812 (80.722) Epoch: [40][7690/10010] Time 0.321 (0.327) Data 0.001 (0.001) Loss 1.5736 (1.8093) Prec@1 59.375 (58.919) Prec@5 82.812 (80.723) Epoch: [40][7700/10010] Time 0.339 (0.327) Data 0.001 (0.001) Loss 1.5413 (1.8092) Prec@1 60.938 (58.919) Prec@5 86.719 (80.724) Epoch: [40][7710/10010] Time 0.321 (0.327) Data 0.001 (0.001) Loss 2.0534 (1.8092) Prec@1 57.812 (58.918) Prec@5 80.469 (80.724) Epoch: [40][7720/10010] Time 0.337 (0.327) Data 0.001 (0.001) Loss 2.0726 (1.8093) Prec@1 53.125 (58.916) Prec@5 78.906 (80.724) Epoch: [40][7730/10010] Time 0.339 (0.327) Data 0.000 (0.001) Loss 1.5689 (1.8092) Prec@1 58.594 (58.917) Prec@5 87.500 (80.726) Epoch: [40][7740/10010] Time 0.324 (0.327) Data 0.001 (0.001) Loss 2.1346 (1.8092) Prec@1 56.250 (58.920) Prec@5 72.656 (80.727) Epoch: [40][7750/10010] Time 0.318 (0.327) Data 0.001 (0.001) Loss 1.7988 (1.8092) Prec@1 62.500 (58.922) Prec@5 79.688 (80.727) Epoch: [40][7760/10010] Time 0.316 (0.327) Data 0.001 (0.001) Loss 1.9516 (1.8092) Prec@1 56.250 (58.920) Prec@5 80.469 (80.728) Epoch: [40][7770/10010] Time 0.335 (0.327) Data 0.001 (0.001) Loss 1.9520 (1.8093) Prec@1 53.906 (58.919) Prec@5 79.688 (80.726) Epoch: [40][7780/10010] Time 0.342 (0.327) Data 0.000 (0.001) Loss 1.6762 (1.8092) Prec@1 61.719 (58.920) Prec@5 82.812 (80.728) Epoch: [40][7790/10010] Time 0.338 (0.327) Data 0.001 (0.001) Loss 2.2232 (1.8094) Prec@1 51.562 (58.915) Prec@5 70.312 (80.726) Epoch: [40][7800/10010] Time 0.309 (0.327) Data 0.001 (0.001) Loss 1.6225 (1.8094) Prec@1 63.281 (58.917) Prec@5 84.375 (80.726) Epoch: [40][7810/10010] Time 0.342 (0.327) Data 0.001 (0.001) Loss 1.9811 (1.8093) Prec@1 51.562 (58.915) Prec@5 77.344 (80.725) Epoch: [40][7820/10010] Time 0.343 (0.327) Data 0.001 (0.001) Loss 1.7423 (1.8093) Prec@1 63.281 (58.915) Prec@5 82.812 (80.726) Epoch: [40][7830/10010] Time 0.338 (0.327) Data 0.001 (0.001) Loss 1.7604 (1.8093) Prec@1 60.938 (58.917) Prec@5 81.250 (80.726) Epoch: [40][7840/10010] Time 0.339 (0.327) Data 0.001 (0.001) Loss 1.8055 (1.8093) Prec@1 57.812 (58.917) Prec@5 77.344 (80.726) Epoch: [40][7850/10010] Time 0.319 (0.327) Data 0.000 (0.001) Loss 2.0372 (1.8092) Prec@1 55.469 (58.917) Prec@5 76.562 (80.728) Epoch: [40][7860/10010] Time 0.330 (0.327) Data 0.001 (0.001) Loss 1.6306 (1.8093) Prec@1 66.406 (58.918) Prec@5 84.375 (80.728) Epoch: [40][7870/10010] Time 0.337 (0.327) Data 0.001 (0.001) Loss 1.9973 (1.8093) Prec@1 48.438 (58.915) Prec@5 76.562 (80.728) Epoch: [40][7880/10010] Time 0.319 (0.327) Data 0.001 (0.001) Loss 1.6650 (1.8091) Prec@1 60.156 (58.920) Prec@5 85.938 (80.729) Epoch: [40][7890/10010] Time 0.313 (0.327) Data 0.001 (0.001) Loss 1.8912 (1.8092) Prec@1 57.812 (58.918) Prec@5 81.250 (80.729) Epoch: [40][7900/10010] Time 0.325 (0.327) Data 0.001 (0.001) Loss 1.7528 (1.8091) Prec@1 56.250 (58.920) Prec@5 84.375 (80.728) Epoch: [40][7910/10010] Time 0.317 (0.327) Data 0.001 (0.001) Loss 1.7966 (1.8093) Prec@1 64.844 (58.917) Prec@5 80.469 (80.726) Epoch: [40][7920/10010] Time 0.338 (0.327) Data 0.001 (0.001) Loss 1.4458 (1.8093) Prec@1 66.406 (58.917) Prec@5 81.250 (80.724) Epoch: [40][7930/10010] Time 0.313 (0.327) Data 0.001 (0.001) Loss 1.9343 (1.8093) Prec@1 55.469 (58.915) Prec@5 78.125 (80.724) Epoch: [40][7940/10010] Time 0.325 (0.327) Data 0.000 (0.001) Loss 2.0185 (1.8095) Prec@1 57.031 (58.915) Prec@5 73.438 (80.721) Epoch: [40][7950/10010] Time 0.333 (0.327) Data 0.001 (0.001) Loss 1.4500 (1.8094) Prec@1 65.625 (58.916) Prec@5 88.281 (80.720) Epoch: [40][7960/10010] Time 0.317 (0.327) Data 0.001 (0.001) Loss 1.9035 (1.8093) Prec@1 60.156 (58.921) Prec@5 79.688 (80.723) Epoch: [40][7970/10010] Time 0.318 (0.327) Data 0.001 (0.001) Loss 1.5580 (1.8091) Prec@1 66.406 (58.925) Prec@5 83.594 (80.723) Epoch: [40][7980/10010] Time 0.335 (0.327) Data 0.000 (0.001) Loss 2.0033 (1.8091) Prec@1 53.906 (58.926) Prec@5 77.344 (80.723) Epoch: [40][7990/10010] Time 0.323 (0.327) Data 0.000 (0.001) Loss 1.6916 (1.8091) Prec@1 57.812 (58.926) Prec@5 80.469 (80.723) Epoch: [40][8000/10010] Time 0.319 (0.327) Data 0.001 (0.001) Loss 1.6365 (1.8091) Prec@1 63.281 (58.925) Prec@5 85.938 (80.722) Epoch: [40][8010/10010] Time 0.335 (0.327) Data 0.001 (0.001) Loss 1.7032 (1.8092) Prec@1 58.594 (58.922) Prec@5 80.469 (80.719) Epoch: [40][8020/10010] Time 0.317 (0.327) Data 0.001 (0.001) Loss 2.0589 (1.8092) Prec@1 57.031 (58.923) Prec@5 77.344 (80.720) Epoch: [40][8030/10010] Time 0.313 (0.327) Data 0.001 (0.001) Loss 1.9298 (1.8093) Prec@1 54.688 (58.921) Prec@5 76.562 (80.718) Epoch: [40][8040/10010] Time 0.315 (0.327) Data 0.001 (0.001) Loss 1.9482 (1.8093) Prec@1 47.656 (58.921) Prec@5 77.344 (80.718) Epoch: [40][8050/10010] Time 0.323 (0.327) Data 0.000 (0.001) Loss 1.6555 (1.8093) Prec@1 55.469 (58.918) Prec@5 81.250 (80.717) Epoch: [40][8060/10010] Time 0.326 (0.327) Data 0.001 (0.001) Loss 1.6553 (1.8093) Prec@1 59.375 (58.919) Prec@5 80.469 (80.716) Epoch: [40][8070/10010] Time 0.327 (0.327) Data 0.000 (0.001) Loss 1.6085 (1.8094) Prec@1 59.375 (58.919) Prec@5 82.812 (80.715) Epoch: [40][8080/10010] Time 0.325 (0.327) Data 0.000 (0.001) Loss 2.0444 (1.8094) Prec@1 63.281 (58.921) Prec@5 78.906 (80.716) Epoch: [40][8090/10010] Time 0.322 (0.327) Data 0.000 (0.001) Loss 1.6948 (1.8093) Prec@1 57.031 (58.920) Prec@5 82.812 (80.718) Epoch: [40][8100/10010] Time 0.332 (0.327) Data 0.001 (0.001) Loss 1.6643 (1.8093) Prec@1 58.594 (58.920) Prec@5 85.156 (80.718) Epoch: [40][8110/10010] Time 0.323 (0.327) Data 0.001 (0.001) Loss 1.5160 (1.8093) Prec@1 67.969 (58.918) Prec@5 85.156 (80.719) Epoch: [40][8120/10010] Time 0.320 (0.327) Data 0.000 (0.001) Loss 1.8369 (1.8094) Prec@1 60.938 (58.917) Prec@5 80.469 (80.719) Epoch: [40][8130/10010] Time 0.333 (0.327) Data 0.001 (0.001) Loss 1.7615 (1.8094) Prec@1 60.938 (58.917) Prec@5 84.375 (80.718) Epoch: [40][8140/10010] Time 0.320 (0.327) Data 0.001 (0.001) Loss 1.9112 (1.8095) Prec@1 54.688 (58.916) Prec@5 80.469 (80.718) Epoch: [40][8150/10010] Time 0.315 (0.327) Data 0.001 (0.001) Loss 1.9786 (1.8095) Prec@1 59.375 (58.916) Prec@5 78.906 (80.718) Epoch: [40][8160/10010] Time 0.336 (0.327) Data 0.001 (0.001) Loss 2.1594 (1.8096) Prec@1 57.812 (58.915) Prec@5 69.531 (80.714) Epoch: [40][8170/10010] Time 0.329 (0.327) Data 0.001 (0.001) Loss 1.7625 (1.8095) Prec@1 54.688 (58.916) Prec@5 84.375 (80.716) Epoch: [40][8180/10010] Time 0.326 (0.327) Data 0.001 (0.001) Loss 1.5859 (1.8095) Prec@1 64.844 (58.916) Prec@5 83.594 (80.717) Epoch: [40][8190/10010] Time 0.318 (0.327) Data 0.001 (0.001) Loss 1.7279 (1.8095) Prec@1 64.062 (58.917) Prec@5 83.594 (80.717) Epoch: [40][8200/10010] Time 0.322 (0.327) Data 0.001 (0.001) Loss 1.6959 (1.8096) Prec@1 61.719 (58.917) Prec@5 78.906 (80.717) Epoch: [40][8210/10010] Time 0.317 (0.327) Data 0.001 (0.001) Loss 1.8775 (1.8096) Prec@1 61.719 (58.915) Prec@5 77.344 (80.717) Epoch: [40][8220/10010] Time 0.326 (0.327) Data 0.001 (0.001) Loss 2.0433 (1.8096) Prec@1 57.812 (58.915) Prec@5 79.688 (80.718) Epoch: [40][8230/10010] Time 0.338 (0.327) Data 0.001 (0.001) Loss 1.9951 (1.8096) Prec@1 54.688 (58.915) Prec@5 77.344 (80.718) Epoch: [40][8240/10010] Time 0.338 (0.327) Data 0.001 (0.001) Loss 1.4937 (1.8095) Prec@1 61.719 (58.918) Prec@5 87.500 (80.721) Epoch: [40][8250/10010] Time 0.328 (0.327) Data 0.001 (0.001) Loss 2.0109 (1.8094) Prec@1 56.250 (58.919) Prec@5 74.219 (80.721) Epoch: [40][8260/10010] Time 0.323 (0.327) Data 0.008 (0.001) Loss 1.8829 (1.8095) Prec@1 58.594 (58.918) Prec@5 78.906 (80.720) Epoch: [40][8270/10010] Time 0.319 (0.327) Data 0.001 (0.001) Loss 1.6941 (1.8094) Prec@1 64.844 (58.919) Prec@5 81.250 (80.720) Epoch: [40][8280/10010] Time 0.321 (0.327) Data 0.000 (0.001) Loss 1.8342 (1.8095) Prec@1 57.812 (58.917) Prec@5 79.688 (80.718) Epoch: [40][8290/10010] Time 0.341 (0.327) Data 0.001 (0.001) Loss 1.7683 (1.8096) Prec@1 60.156 (58.915) Prec@5 82.812 (80.718) Epoch: [40][8300/10010] Time 0.325 (0.327) Data 0.001 (0.001) Loss 1.6567 (1.8096) Prec@1 59.375 (58.914) Prec@5 81.250 (80.717) Epoch: [40][8310/10010] Time 0.336 (0.327) Data 0.001 (0.001) Loss 1.8629 (1.8097) Prec@1 57.031 (58.910) Prec@5 80.469 (80.715) Epoch: [40][8320/10010] Time 0.325 (0.327) Data 0.001 (0.001) Loss 1.8112 (1.8097) Prec@1 57.031 (58.911) Prec@5 81.250 (80.716) Epoch: [40][8330/10010] Time 0.324 (0.327) Data 0.001 (0.001) Loss 1.8397 (1.8097) Prec@1 52.344 (58.910) Prec@5 78.906 (80.716) Epoch: [40][8340/10010] Time 0.323 (0.327) Data 0.001 (0.001) Loss 2.1062 (1.8096) Prec@1 53.125 (58.910) Prec@5 76.562 (80.717) Epoch: [40][8350/10010] Time 0.321 (0.327) Data 0.001 (0.001) Loss 2.1548 (1.8095) Prec@1 57.812 (58.910) Prec@5 75.781 (80.718) Epoch: [40][8360/10010] Time 0.344 (0.327) Data 0.001 (0.001) Loss 1.9241 (1.8096) Prec@1 50.781 (58.909) Prec@5 79.688 (80.716) Epoch: [40][8370/10010] Time 0.312 (0.327) Data 0.001 (0.001) Loss 1.3027 (1.8095) Prec@1 72.656 (58.911) Prec@5 89.062 (80.718) Epoch: [40][8380/10010] Time 0.325 (0.327) Data 0.001 (0.001) Loss 1.8370 (1.8095) Prec@1 55.469 (58.910) Prec@5 80.469 (80.717) Epoch: [40][8390/10010] Time 0.316 (0.327) Data 0.001 (0.001) Loss 1.5618 (1.8094) Prec@1 63.281 (58.913) Prec@5 86.719 (80.719) Epoch: [40][8400/10010] Time 0.325 (0.327) Data 0.000 (0.001) Loss 1.6898 (1.8094) Prec@1 54.688 (58.912) Prec@5 81.250 (80.719) Epoch: [40][8410/10010] Time 0.321 (0.327) Data 0.001 (0.001) Loss 1.7305 (1.8094) Prec@1 62.500 (58.912) Prec@5 82.031 (80.717) Epoch: [40][8420/10010] Time 0.319 (0.327) Data 0.000 (0.001) Loss 1.5604 (1.8094) Prec@1 61.719 (58.913) Prec@5 82.812 (80.716) Epoch: [40][8430/10010] Time 0.324 (0.327) Data 0.001 (0.001) Loss 2.1218 (1.8095) Prec@1 53.125 (58.910) Prec@5 74.219 (80.715) Epoch: [40][8440/10010] Time 0.330 (0.327) Data 0.000 (0.001) Loss 1.7580 (1.8095) Prec@1 57.031 (58.908) Prec@5 78.906 (80.714) Epoch: [40][8450/10010] Time 0.325 (0.327) Data 0.001 (0.001) Loss 1.8597 (1.8096) Prec@1 55.469 (58.907) Prec@5 80.469 (80.712) Epoch: [40][8460/10010] Time 0.322 (0.327) Data 0.001 (0.001) Loss 2.0906 (1.8097) Prec@1 57.031 (58.909) Prec@5 78.906 (80.712) Epoch: [40][8470/10010] Time 0.316 (0.327) Data 0.001 (0.001) Loss 1.4453 (1.8095) Prec@1 67.188 (58.911) Prec@5 87.500 (80.714) Epoch: [40][8480/10010] Time 0.312 (0.327) Data 0.001 (0.001) Loss 1.7482 (1.8094) Prec@1 64.062 (58.915) Prec@5 81.250 (80.715) Epoch: [40][8490/10010] Time 0.320 (0.327) Data 0.001 (0.001) Loss 1.7447 (1.8095) Prec@1 60.156 (58.914) Prec@5 81.250 (80.715) Epoch: [40][8500/10010] Time 0.335 (0.327) Data 0.001 (0.001) Loss 1.5970 (1.8094) Prec@1 67.188 (58.914) Prec@5 82.812 (80.716) Epoch: [40][8510/10010] Time 0.323 (0.327) Data 0.001 (0.001) Loss 2.0610 (1.8094) Prec@1 53.125 (58.914) Prec@5 78.125 (80.715) Epoch: [40][8520/10010] Time 0.316 (0.327) Data 0.001 (0.001) Loss 2.0385 (1.8094) Prec@1 53.125 (58.914) Prec@5 77.344 (80.716) Epoch: [40][8530/10010] Time 0.333 (0.327) Data 0.000 (0.001) Loss 1.5989 (1.8093) Prec@1 62.500 (58.915) Prec@5 83.594 (80.718) Epoch: [40][8540/10010] Time 0.335 (0.327) Data 0.000 (0.001) Loss 1.8590 (1.8094) Prec@1 55.469 (58.915) Prec@5 79.688 (80.716) Epoch: [40][8550/10010] Time 0.327 (0.327) Data 0.001 (0.001) Loss 1.7933 (1.8093) Prec@1 57.031 (58.917) Prec@5 78.906 (80.717) Epoch: [40][8560/10010] Time 0.319 (0.327) Data 0.001 (0.001) Loss 1.5843 (1.8093) Prec@1 65.625 (58.916) Prec@5 84.375 (80.717) Epoch: [40][8570/10010] Time 0.334 (0.327) Data 0.001 (0.001) Loss 1.8643 (1.8092) Prec@1 61.719 (58.916) Prec@5 80.469 (80.718) Epoch: [40][8580/10010] Time 0.311 (0.327) Data 0.000 (0.001) Loss 1.8564 (1.8093) Prec@1 63.281 (58.916) Prec@5 78.906 (80.717) Epoch: [40][8590/10010] Time 0.322 (0.327) Data 0.001 (0.001) Loss 1.6796 (1.8094) Prec@1 62.500 (58.915) Prec@5 81.250 (80.715) Epoch: [40][8600/10010] Time 0.320 (0.327) Data 0.001 (0.001) Loss 1.8862 (1.8095) Prec@1 57.812 (58.911) Prec@5 78.125 (80.713) Epoch: [40][8610/10010] Time 0.330 (0.327) Data 0.001 (0.001) Loss 1.9304 (1.8097) Prec@1 55.469 (58.907) Prec@5 76.562 (80.711) Epoch: [40][8620/10010] Time 0.317 (0.327) Data 0.001 (0.001) Loss 1.8062 (1.8096) Prec@1 59.375 (58.908) Prec@5 79.688 (80.711) Epoch: [40][8630/10010] Time 0.313 (0.327) Data 0.001 (0.001) Loss 1.5808 (1.8095) Prec@1 67.188 (58.908) Prec@5 85.156 (80.712) Epoch: [40][8640/10010] Time 0.320 (0.327) Data 0.000 (0.001) Loss 1.9472 (1.8095) Prec@1 57.812 (58.908) Prec@5 80.469 (80.713) Epoch: [40][8650/10010] Time 0.344 (0.327) Data 0.001 (0.001) Loss 1.6597 (1.8094) Prec@1 64.062 (58.909) Prec@5 85.156 (80.714) Epoch: [40][8660/10010] Time 0.326 (0.327) Data 0.000 (0.001) Loss 1.6055 (1.8095) Prec@1 63.281 (58.906) Prec@5 85.938 (80.713) Epoch: [40][8670/10010] Time 0.340 (0.327) Data 0.001 (0.001) Loss 1.4980 (1.8095) Prec@1 64.062 (58.907) Prec@5 88.281 (80.713) Epoch: [40][8680/10010] Time 0.337 (0.327) Data 0.000 (0.001) Loss 1.6374 (1.8096) Prec@1 67.188 (58.907) Prec@5 83.594 (80.713) Epoch: [40][8690/10010] Time 0.317 (0.327) Data 0.000 (0.001) Loss 1.8923 (1.8095) Prec@1 67.188 (58.907) Prec@5 81.250 (80.713) Epoch: [40][8700/10010] Time 0.317 (0.327) Data 0.001 (0.001) Loss 2.0776 (1.8097) Prec@1 58.594 (58.906) Prec@5 77.344 (80.711) Epoch: [40][8710/10010] Time 0.311 (0.327) Data 0.001 (0.001) Loss 1.3039 (1.8096) Prec@1 68.750 (58.905) Prec@5 92.188 (80.713) Epoch: [40][8720/10010] Time 0.322 (0.327) Data 0.001 (0.001) Loss 2.0542 (1.8096) Prec@1 56.250 (58.906) Prec@5 76.562 (80.713) Epoch: [40][8730/10010] Time 0.326 (0.327) Data 0.000 (0.001) Loss 1.5728 (1.8096) Prec@1 65.625 (58.907) Prec@5 85.938 (80.715) Epoch: [40][8740/10010] Time 0.320 (0.327) Data 0.000 (0.001) Loss 1.7078 (1.8095) Prec@1 57.812 (58.906) Prec@5 85.156 (80.716) Epoch: [40][8750/10010] Time 0.320 (0.327) Data 0.000 (0.001) Loss 1.8563 (1.8095) Prec@1 57.812 (58.908) Prec@5 82.031 (80.716) Epoch: [40][8760/10010] Time 0.319 (0.327) Data 0.001 (0.001) Loss 1.5112 (1.8096) Prec@1 64.844 (58.909) Prec@5 85.938 (80.714) Epoch: [40][8770/10010] Time 0.326 (0.327) Data 0.000 (0.001) Loss 1.9764 (1.8097) Prec@1 53.125 (58.909) Prec@5 78.125 (80.714) Epoch: [40][8780/10010] Time 0.335 (0.327) Data 0.000 (0.001) Loss 1.8511 (1.8097) Prec@1 64.062 (58.909) Prec@5 82.031 (80.715) Epoch: [40][8790/10010] Time 0.318 (0.327) Data 0.001 (0.001) Loss 1.5415 (1.8096) Prec@1 63.281 (58.910) Prec@5 87.500 (80.716) Epoch: [40][8800/10010] Time 0.337 (0.327) Data 0.001 (0.001) Loss 1.9503 (1.8095) Prec@1 55.469 (58.911) Prec@5 83.594 (80.718) Epoch: [40][8810/10010] Time 0.324 (0.327) Data 0.000 (0.001) Loss 1.8758 (1.8096) Prec@1 60.938 (58.910) Prec@5 80.469 (80.717) Epoch: [40][8820/10010] Time 0.334 (0.327) Data 0.001 (0.001) Loss 1.8439 (1.8096) Prec@1 59.375 (58.909) Prec@5 80.469 (80.717) Epoch: [40][8830/10010] Time 0.327 (0.327) Data 0.001 (0.001) Loss 1.7782 (1.8096) Prec@1 63.281 (58.907) Prec@5 80.469 (80.717) Epoch: [40][8840/10010] Time 0.343 (0.327) Data 0.000 (0.001) Loss 1.6862 (1.8095) Prec@1 63.281 (58.910) Prec@5 80.469 (80.719) Epoch: [40][8850/10010] Time 0.320 (0.327) Data 0.001 (0.001) Loss 2.0134 (1.8096) Prec@1 60.156 (58.910) Prec@5 76.562 (80.718) Epoch: [40][8860/10010] Time 0.322 (0.327) Data 0.000 (0.001) Loss 1.7962 (1.8097) Prec@1 59.375 (58.907) Prec@5 82.812 (80.719) Epoch: [40][8870/10010] Time 0.337 (0.327) Data 0.001 (0.001) Loss 1.8727 (1.8097) Prec@1 57.812 (58.908) Prec@5 83.594 (80.720) Epoch: [40][8880/10010] Time 0.314 (0.327) Data 0.001 (0.001) Loss 1.6633 (1.8097) Prec@1 61.719 (58.906) Prec@5 86.719 (80.720) Epoch: [40][8890/10010] Time 0.339 (0.327) Data 0.001 (0.001) Loss 2.0384 (1.8097) Prec@1 56.250 (58.904) Prec@5 76.562 (80.719) Epoch: [40][8900/10010] Time 0.321 (0.327) Data 0.000 (0.001) Loss 2.0358 (1.8096) Prec@1 55.469 (58.908) Prec@5 75.000 (80.720) Epoch: [40][8910/10010] Time 0.320 (0.327) Data 0.001 (0.001) Loss 1.7982 (1.8096) Prec@1 58.594 (58.908) Prec@5 81.250 (80.721) Epoch: [40][8920/10010] Time 0.318 (0.327) Data 0.001 (0.001) Loss 1.9706 (1.8096) Prec@1 53.906 (58.908) Prec@5 80.469 (80.721) Epoch: [40][8930/10010] Time 0.318 (0.327) Data 0.001 (0.001) Loss 2.1524 (1.8095) Prec@1 50.000 (58.907) Prec@5 75.000 (80.721) Epoch: [40][8940/10010] Time 0.326 (0.327) Data 0.001 (0.001) Loss 1.7976 (1.8095) Prec@1 65.625 (58.909) Prec@5 81.250 (80.722) Epoch: [40][8950/10010] Time 0.323 (0.327) Data 0.000 (0.001) Loss 2.1160 (1.8095) Prec@1 57.812 (58.909) Prec@5 81.250 (80.721) Epoch: [40][8960/10010] Time 0.315 (0.327) Data 0.001 (0.001) Loss 1.7406 (1.8095) Prec@1 63.281 (58.909) Prec@5 80.469 (80.721) Epoch: [40][8970/10010] Time 0.331 (0.327) Data 0.001 (0.001) Loss 2.0182 (1.8097) Prec@1 57.812 (58.907) Prec@5 76.562 (80.719) Epoch: [40][8980/10010] Time 0.313 (0.327) Data 0.001 (0.001) Loss 1.9072 (1.8098) Prec@1 62.500 (58.906) Prec@5 81.250 (80.717) Epoch: [40][8990/10010] Time 0.320 (0.327) Data 0.000 (0.001) Loss 2.1070 (1.8099) Prec@1 53.125 (58.905) Prec@5 75.000 (80.714) Epoch: [40][9000/10010] Time 0.323 (0.327) Data 0.001 (0.001) Loss 1.8840 (1.8099) Prec@1 53.906 (58.903) Prec@5 78.906 (80.712) Epoch: [40][9010/10010] Time 0.317 (0.327) Data 0.001 (0.001) Loss 2.0014 (1.8099) Prec@1 56.250 (58.903) Prec@5 76.562 (80.712) Epoch: [40][9020/10010] Time 0.334 (0.327) Data 0.000 (0.001) Loss 1.9634 (1.8099) Prec@1 54.688 (58.903) Prec@5 82.031 (80.714) Epoch: [40][9030/10010] Time 0.339 (0.327) Data 0.001 (0.001) Loss 1.8630 (1.8099) Prec@1 62.500 (58.903) Prec@5 76.562 (80.714) Epoch: [40][9040/10010] Time 0.338 (0.327) Data 0.001 (0.001) Loss 1.7422 (1.8100) Prec@1 62.500 (58.905) Prec@5 83.594 (80.713) Epoch: [40][9050/10010] Time 0.318 (0.327) Data 0.000 (0.001) Loss 1.8664 (1.8099) Prec@1 64.844 (58.906) Prec@5 77.344 (80.715) Epoch: [40][9060/10010] Time 0.331 (0.327) Data 0.000 (0.001) Loss 1.9812 (1.8101) Prec@1 55.469 (58.903) Prec@5 75.781 (80.713) Epoch: [40][9070/10010] Time 0.312 (0.327) Data 0.001 (0.001) Loss 1.8536 (1.8102) Prec@1 59.375 (58.901) Prec@5 82.812 (80.710) Epoch: [40][9080/10010] Time 0.328 (0.327) Data 0.000 (0.001) Loss 1.6491 (1.8102) Prec@1 59.375 (58.899) Prec@5 85.156 (80.710) Epoch: [40][9090/10010] Time 0.318 (0.327) Data 0.000 (0.001) Loss 1.3670 (1.8101) Prec@1 64.844 (58.901) Prec@5 89.844 (80.713) Epoch: [40][9100/10010] Time 0.339 (0.327) Data 0.001 (0.001) Loss 1.9750 (1.8101) Prec@1 58.594 (58.902) Prec@5 78.906 (80.712) Epoch: [40][9110/10010] Time 0.316 (0.327) Data 0.001 (0.001) Loss 1.9314 (1.8102) Prec@1 57.031 (58.901) Prec@5 80.469 (80.710) Epoch: [40][9120/10010] Time 0.324 (0.327) Data 0.000 (0.001) Loss 1.7294 (1.8102) Prec@1 65.625 (58.901) Prec@5 85.156 (80.711) Epoch: [40][9130/10010] Time 0.330 (0.327) Data 0.001 (0.001) Loss 1.9317 (1.8102) Prec@1 56.250 (58.901) Prec@5 82.812 (80.712) Epoch: [40][9140/10010] Time 0.318 (0.327) Data 0.000 (0.001) Loss 1.6745 (1.8102) Prec@1 57.812 (58.900) Prec@5 82.031 (80.711) Epoch: [40][9150/10010] Time 0.336 (0.327) Data 0.000 (0.001) Loss 1.8121 (1.8102) Prec@1 57.031 (58.900) Prec@5 80.469 (80.710) Epoch: [40][9160/10010] Time 0.326 (0.327) Data 0.001 (0.001) Loss 1.9732 (1.8103) Prec@1 54.688 (58.899) Prec@5 74.219 (80.708) Epoch: [40][9170/10010] Time 0.333 (0.327) Data 0.001 (0.001) Loss 1.9384 (1.8104) Prec@1 54.688 (58.896) Prec@5 79.688 (80.707) Epoch: [40][9180/10010] Time 0.323 (0.327) Data 0.000 (0.001) Loss 1.6736 (1.8103) Prec@1 61.719 (58.897) Prec@5 82.031 (80.708) Epoch: [40][9190/10010] Time 0.319 (0.327) Data 0.001 (0.001) Loss 2.2600 (1.8104) Prec@1 54.688 (58.895) Prec@5 75.000 (80.706) /data/vision/torralba/deepscene/lib/anaconda2/lib/python2.7/site-packages/PIL/TiffImagePlugin.py:692: UserWarning: Possibly corrupt EXIF data. Expecting to read 2555904 bytes but only got 0. Skipping tag 0 "Skipping tag %s" % (size, len(data), tag)) Epoch: [40][9200/10010] Time 0.336 (0.327) Data 0.001 (0.001) Loss 1.9211 (1.8105) Prec@1 53.125 (58.893) Prec@5 78.906 (80.705) Epoch: [40][9210/10010] Time 0.338 (0.327) Data 0.001 (0.001) Loss 1.8347 (1.8105) Prec@1 59.375 (58.894) Prec@5 76.562 (80.702) Epoch: [40][9220/10010] Time 0.338 (0.327) Data 0.001 (0.001) Loss 1.4962 (1.8105) Prec@1 67.969 (58.895) Prec@5 83.594 (80.702) Epoch: [40][9230/10010] Time 0.323 (0.327) Data 0.000 (0.001) Loss 2.0541 (1.8106) Prec@1 55.469 (58.895) Prec@5 77.344 (80.701) Epoch: [40][9240/10010] Time 0.323 (0.327) Data 0.001 (0.001) Loss 1.8283 (1.8107) Prec@1 60.938 (58.893) Prec@5 79.688 (80.699) /data/vision/torralba/deepscene/lib/anaconda2/lib/python2.7/site-packages/PIL/TiffImagePlugin.py:692: UserWarning: Possibly corrupt EXIF data. Expecting to read 2555904 bytes but only got 0. Skipping tag 0 "Skipping tag %s" % (size, len(data), tag)) Epoch: [40][9250/10010] Time 0.312 (0.327) Data 0.001 (0.001) Loss 1.6788 (1.8106) Prec@1 61.719 (58.894) Prec@5 81.250 (80.700) Epoch: [40][9260/10010] Time 0.328 (0.327) Data 0.001 (0.001) Loss 2.1296 (1.8108) Prec@1 48.438 (58.890) Prec@5 75.000 (80.697) Epoch: [40][9270/10010] Time 0.337 (0.327) Data 0.002 (0.001) Loss 2.0468 (1.8108) Prec@1 49.219 (58.889) Prec@5 74.219 (80.696) Epoch: [40][9280/10010] Time 0.308 (0.327) Data 0.001 (0.001) Loss 1.6789 (1.8107) Prec@1 63.281 (58.892) Prec@5 79.688 (80.697) Epoch: [40][9290/10010] Time 0.321 (0.327) Data 0.001 (0.001) Loss 1.7027 (1.8108) Prec@1 60.938 (58.892) Prec@5 79.688 (80.697) Epoch: [40][9300/10010] Time 0.324 (0.327) Data 0.001 (0.001) Loss 1.6214 (1.8108) Prec@1 67.188 (58.892) Prec@5 82.812 (80.696) Epoch: [40][9310/10010] Time 0.320 (0.327) Data 0.001 (0.001) Loss 1.9008 (1.8108) Prec@1 53.125 (58.893) Prec@5 79.688 (80.695) Epoch: [40][9320/10010] Time 0.321 (0.327) Data 0.000 (0.001) Loss 1.4395 (1.8108) Prec@1 61.719 (58.893) Prec@5 84.375 (80.695) Epoch: [40][9330/10010] Time 0.324 (0.327) Data 0.001 (0.001) Loss 2.1482 (1.8109) Prec@1 57.031 (58.892) Prec@5 72.656 (80.695) Epoch: [40][9340/10010] Time 0.331 (0.327) Data 0.001 (0.001) Loss 1.7921 (1.8109) Prec@1 58.594 (58.892) Prec@5 81.250 (80.694) Epoch: [40][9350/10010] Time 0.328 (0.327) Data 0.001 (0.001) Loss 1.6884 (1.8109) Prec@1 56.250 (58.889) Prec@5 82.031 (80.693) Epoch: [40][9360/10010] Time 0.335 (0.327) Data 0.001 (0.001) Loss 1.8237 (1.8109) Prec@1 59.375 (58.890) Prec@5 82.812 (80.695) Epoch: [40][9370/10010] Time 0.331 (0.327) Data 0.001 (0.001) Loss 1.7653 (1.8109) Prec@1 59.375 (58.890) Prec@5 82.812 (80.695) Epoch: [40][9380/10010] Time 0.336 (0.327) Data 0.000 (0.001) Loss 1.9731 (1.8110) Prec@1 57.812 (58.889) Prec@5 73.438 (80.693) Epoch: [40][9390/10010] Time 0.331 (0.327) Data 0.001 (0.001) Loss 1.7094 (1.8111) Prec@1 58.594 (58.888) Prec@5 80.469 (80.692) Epoch: [40][9400/10010] Time 0.339 (0.327) Data 0.000 (0.001) Loss 1.6424 (1.8111) Prec@1 59.375 (58.888) Prec@5 82.812 (80.692) Epoch: [40][9410/10010] Time 0.323 (0.327) Data 0.001 (0.001) Loss 1.6823 (1.8110) Prec@1 61.719 (58.890) Prec@5 81.250 (80.692) Epoch: [40][9420/10010] Time 0.331 (0.327) Data 0.001 (0.001) Loss 1.7983 (1.8111) Prec@1 56.250 (58.888) Prec@5 78.906 (80.692) Epoch: [40][9430/10010] Time 0.323 (0.327) Data 0.001 (0.001) Loss 1.8562 (1.8111) Prec@1 59.375 (58.888) Prec@5 81.250 (80.691) Epoch: [40][9440/10010] Time 0.332 (0.327) Data 0.001 (0.001) Loss 1.7869 (1.8111) Prec@1 59.375 (58.886) Prec@5 78.906 (80.690) Epoch: [40][9450/10010] Time 0.320 (0.327) Data 0.001 (0.001) Loss 1.6936 (1.8111) Prec@1 50.000 (58.883) Prec@5 82.812 (80.690) Epoch: [40][9460/10010] Time 0.318 (0.327) Data 0.001 (0.001) Loss 2.1569 (1.8111) Prec@1 53.125 (58.882) Prec@5 75.000 (80.691) Epoch: [40][9470/10010] Time 0.339 (0.327) Data 0.000 (0.001) Loss 1.8612 (1.8111) Prec@1 57.812 (58.883) Prec@5 79.688 (80.692) Epoch: [40][9480/10010] Time 0.314 (0.327) Data 0.001 (0.001) Loss 2.0237 (1.8111) Prec@1 56.250 (58.882) Prec@5 75.781 (80.693) Epoch: [40][9490/10010] Time 0.337 (0.327) Data 0.000 (0.001) Loss 1.7612 (1.8112) Prec@1 61.719 (58.880) Prec@5 81.250 (80.691) Epoch: [40][9500/10010] Time 0.338 (0.327) Data 0.001 (0.001) Loss 1.3338 (1.8111) Prec@1 67.969 (58.880) Prec@5 86.719 (80.691) Epoch: [40][9510/10010] Time 0.332 (0.327) Data 0.000 (0.001) Loss 1.5140 (1.8111) Prec@1 64.062 (58.881) Prec@5 85.156 (80.691) Epoch: [40][9520/10010] Time 0.335 (0.327) Data 0.000 (0.001) Loss 1.9180 (1.8111) Prec@1 56.250 (58.879) Prec@5 76.562 (80.690) Epoch: [40][9530/10010] Time 0.314 (0.327) Data 0.001 (0.001) Loss 1.7732 (1.8111) Prec@1 60.938 (58.879) Prec@5 80.469 (80.690) Epoch: [40][9540/10010] Time 0.317 (0.327) Data 0.001 (0.001) Loss 1.7986 (1.8112) Prec@1 57.031 (58.879) Prec@5 81.250 (80.691) Epoch: [40][9550/10010] Time 0.335 (0.327) Data 0.001 (0.001) Loss 1.7174 (1.8112) Prec@1 64.062 (58.877) Prec@5 83.594 (80.689) Epoch: [40][9560/10010] Time 0.325 (0.327) Data 0.001 (0.001) Loss 1.8641 (1.8112) Prec@1 58.594 (58.878) Prec@5 78.906 (80.690) Epoch: [40][9570/10010] Time 0.332 (0.327) Data 0.001 (0.001) Loss 1.6704 (1.8111) Prec@1 65.625 (58.880) Prec@5 82.031 (80.691) Epoch: [40][9580/10010] Time 0.331 (0.327) Data 0.001 (0.001) Loss 1.7704 (1.8112) Prec@1 57.812 (58.880) Prec@5 79.688 (80.689) Epoch: [40][9590/10010] Time 0.328 (0.327) Data 0.001 (0.001) Loss 1.7575 (1.8111) Prec@1 58.594 (58.881) Prec@5 83.594 (80.689) Epoch: [40][9600/10010] Time 0.335 (0.327) Data 0.000 (0.001) Loss 1.5841 (1.8110) Prec@1 64.062 (58.881) Prec@5 82.812 (80.690) Epoch: [40][9610/10010] Time 0.327 (0.327) Data 0.001 (0.001) Loss 2.0182 (1.8112) Prec@1 57.812 (58.879) Prec@5 77.344 (80.687) Epoch: [40][9620/10010] Time 0.339 (0.327) Data 0.001 (0.001) Loss 2.0332 (1.8112) Prec@1 55.469 (58.879) Prec@5 78.125 (80.688) Epoch: [40][9630/10010] Time 0.315 (0.327) Data 0.001 (0.001) Loss 1.7182 (1.8113) Prec@1 59.375 (58.878) Prec@5 80.469 (80.687) Epoch: [40][9640/10010] Time 0.312 (0.327) Data 0.001 (0.001) Loss 1.8869 (1.8114) Prec@1 59.375 (58.875) Prec@5 79.688 (80.686) Epoch: [40][9650/10010] Time 0.323 (0.327) Data 0.001 (0.001) Loss 1.8384 (1.8115) Prec@1 59.375 (58.874) Prec@5 78.125 (80.684) Epoch: [40][9660/10010] Time 0.322 (0.327) Data 0.001 (0.001) Loss 1.8948 (1.8115) Prec@1 60.156 (58.873) Prec@5 81.250 (80.685) Epoch: [40][9670/10010] Time 0.325 (0.327) Data 0.000 (0.001) Loss 1.9760 (1.8115) Prec@1 53.906 (58.873) Prec@5 78.906 (80.684) Epoch: [40][9680/10010] Time 0.335 (0.327) Data 0.001 (0.001) Loss 1.8829 (1.8116) Prec@1 57.031 (58.874) Prec@5 82.031 (80.683) Epoch: [40][9690/10010] Time 0.332 (0.327) Data 0.001 (0.001) Loss 1.6217 (1.8116) Prec@1 61.719 (58.873) Prec@5 85.156 (80.685) Epoch: [40][9700/10010] Time 0.325 (0.327) Data 0.001 (0.001) Loss 2.0221 (1.8117) Prec@1 55.469 (58.872) Prec@5 72.656 (80.682) Epoch: [40][9710/10010] Time 0.319 (0.327) Data 0.000 (0.001) Loss 2.2473 (1.8117) Prec@1 52.344 (58.873) Prec@5 71.094 (80.682) Epoch: [40][9720/10010] Time 0.327 (0.327) Data 0.001 (0.001) Loss 1.7468 (1.8118) Prec@1 64.062 (58.872) Prec@5 78.906 (80.681) Epoch: [40][9730/10010] Time 0.320 (0.327) Data 0.000 (0.001) Loss 1.8803 (1.8118) Prec@1 59.375 (58.871) Prec@5 78.906 (80.680) Epoch: [40][9740/10010] Time 0.323 (0.327) Data 0.001 (0.001) Loss 1.7732 (1.8118) Prec@1 62.500 (58.871) Prec@5 80.469 (80.681) Epoch: [40][9750/10010] Time 0.320 (0.327) Data 0.001 (0.001) Loss 1.5871 (1.8117) Prec@1 59.375 (58.872) Prec@5 82.031 (80.681) Epoch: [40][9760/10010] Time 0.312 (0.327) Data 0.000 (0.001) Loss 1.3879 (1.8116) Prec@1 67.969 (58.874) Prec@5 87.500 (80.683) Epoch: [40][9770/10010] Time 0.319 (0.327) Data 0.001 (0.001) Loss 1.4184 (1.8116) Prec@1 64.844 (58.875) Prec@5 87.500 (80.683) Epoch: [40][9780/10010] Time 0.308 (0.327) Data 0.001 (0.001) Loss 1.8799 (1.8116) Prec@1 56.250 (58.875) Prec@5 78.906 (80.682) Epoch: [40][9790/10010] Time 0.317 (0.327) Data 0.001 (0.001) Loss 1.7762 (1.8117) Prec@1 54.688 (58.874) Prec@5 84.375 (80.681) Epoch: [40][9800/10010] Time 0.321 (0.327) Data 0.000 (0.001) Loss 1.9055 (1.8116) Prec@1 59.375 (58.874) Prec@5 78.125 (80.683) Epoch: [40][9810/10010] Time 0.318 (0.327) Data 0.000 (0.001) Loss 1.7540 (1.8116) Prec@1 61.719 (58.875) Prec@5 79.688 (80.683) Epoch: [40][9820/10010] Time 0.340 (0.327) Data 0.001 (0.001) Loss 1.8431 (1.8116) Prec@1 63.281 (58.873) Prec@5 79.688 (80.683) Epoch: [40][9830/10010] Time 0.317 (0.327) Data 0.001 (0.001) Loss 1.8747 (1.8116) Prec@1 55.469 (58.873) Prec@5 82.031 (80.684) Epoch: [40][9840/10010] Time 0.333 (0.327) Data 0.001 (0.001) Loss 1.6373 (1.8116) Prec@1 65.625 (58.873) Prec@5 82.031 (80.683) Epoch: [40][9850/10010] Time 0.323 (0.327) Data 0.002 (0.001) Loss 1.7975 (1.8116) Prec@1 62.500 (58.873) Prec@5 78.906 (80.683) Epoch: [40][9860/10010] Time 0.336 (0.327) Data 0.001 (0.001) Loss 1.7082 (1.8117) Prec@1 59.375 (58.874) Prec@5 82.031 (80.682) Epoch: [40][9870/10010] Time 0.326 (0.327) Data 0.001 (0.001) Loss 1.7902 (1.8118) Prec@1 62.500 (58.872) Prec@5 82.031 (80.681) Epoch: [40][9880/10010] Time 0.325 (0.327) Data 0.001 (0.001) Loss 1.9159 (1.8118) Prec@1 59.375 (58.872) Prec@5 75.781 (80.681) Epoch: [40][9890/10010] Time 0.328 (0.327) Data 0.000 (0.001) Loss 1.9036 (1.8119) Prec@1 57.812 (58.871) Prec@5 80.469 (80.679) Epoch: [40][9900/10010] Time 0.320 (0.327) Data 0.001 (0.001) Loss 1.7183 (1.8119) Prec@1 61.719 (58.873) Prec@5 77.344 (80.679) Epoch: [40][9910/10010] Time 0.339 (0.327) Data 0.000 (0.001) Loss 2.2601 (1.8119) Prec@1 50.000 (58.872) Prec@5 71.875 (80.679) Epoch: [40][9920/10010] Time 0.322 (0.327) Data 0.001 (0.001) Loss 1.8248 (1.8119) Prec@1 64.062 (58.873) Prec@5 80.469 (80.679) Epoch: [40][9930/10010] Time 0.331 (0.327) Data 0.001 (0.001) Loss 1.5828 (1.8120) Prec@1 64.844 (58.872) Prec@5 85.938 (80.678) Epoch: [40][9940/10010] Time 0.337 (0.327) Data 0.001 (0.001) Loss 1.7933 (1.8119) Prec@1 56.250 (58.872) Prec@5 79.688 (80.679) Epoch: [40][9950/10010] Time 0.319 (0.327) Data 0.000 (0.001) Loss 1.8104 (1.8119) Prec@1 62.500 (58.875) Prec@5 81.250 (80.679) Epoch: [40][9960/10010] Time 0.333 (0.327) Data 0.001 (0.001) Loss 1.6258 (1.8118) Prec@1 61.719 (58.876) Prec@5 81.250 (80.679) Epoch: [40][9970/10010] Time 0.330 (0.327) Data 0.001 (0.001) Loss 1.6712 (1.8119) Prec@1 60.156 (58.876) Prec@5 80.469 (80.678) Epoch: [40][9980/10010] Time 0.335 (0.327) Data 0.001 (0.001) Loss 1.6079 (1.8119) Prec@1 60.938 (58.875) Prec@5 83.594 (80.677) Epoch: [40][9990/10010] Time 0.329 (0.327) Data 0.001 (0.001) Loss 1.7573 (1.8119) Prec@1 61.719 (58.876) Prec@5 82.031 (80.677) Epoch: [40][10000/10010] Time 0.323 (0.327) Data 0.000 (0.001) Loss 1.8137 (1.8117) Prec@1 57.812 (58.877) Prec@5 80.469 (80.679) Test: [0/391] Time 1.259 (1.259) Loss 0.7631 (0.7631) Prec@1 83.594 (83.594) Prec@5 94.531 (94.531) Test: [10/391] Time 0.107 (0.221) Loss 1.4294 (0.8253) Prec@1 65.625 (79.688) Prec@5 89.062 (93.750) Test: [20/391] Time 0.112 (0.166) Loss 1.1251 (1.1354) Prec@1 74.219 (71.912) Prec@5 89.844 (89.993) Test: [30/391] Time 0.103 (0.147) Loss 1.8604 (1.2784) Prec@1 63.281 (68.271) Prec@5 84.375 (88.785) Test: [40/391] Time 0.115 (0.138) Loss 1.2467 (1.1526) Prec@1 71.094 (71.418) Prec@5 85.938 (89.901) Test: [50/391] Time 0.105 (0.133) Loss 0.5716 (1.1754) Prec@1 85.156 (71.124) Prec@5 96.094 (89.645) Test: [60/391] Time 0.103 (0.130) Loss 1.2447 (1.1157) Prec@1 63.281 (72.349) Prec@5 90.625 (90.330) Test: [70/391] Time 0.104 (0.126) Loss 1.5717 (1.1671) Prec@1 53.906 (70.775) Prec@5 89.062 (90.174) Test: [80/391] Time 0.101 (0.123) Loss 1.3101 (1.1920) Prec@1 64.844 (69.647) Prec@5 89.844 (90.152) Test: [90/391] Time 0.102 (0.121) Loss 1.3185 (1.1944) Prec@1 55.469 (69.557) Prec@5 92.969 (90.213) Test: [100/391] Time 0.109 (0.121) Loss 1.2692 (1.1805) Prec@1 69.531 (69.423) Prec@5 89.844 (90.563) Test: [110/391] Time 0.105 (0.120) Loss 1.3433 (1.1823) Prec@1 50.000 (69.017) Prec@5 91.406 (90.695) Test: [120/391] Time 0.101 (0.119) Loss 1.1089 (1.1824) Prec@1 69.531 (69.202) Prec@5 92.969 (90.754) Test: [130/391] Time 0.104 (0.117) Loss 0.8203 (1.1762) Prec@1 84.375 (69.513) Prec@5 93.750 (90.816) Test: [140/391] Time 0.102 (0.117) Loss 1.4330 (1.1785) Prec@1 62.500 (69.476) Prec@5 89.062 (90.808) Test: [150/391] Time 0.106 (0.116) Loss 1.1680 (1.1776) Prec@1 64.062 (69.583) Prec@5 92.969 (90.713) Test: [160/391] Time 0.108 (0.115) Loss 1.3654 (1.1827) Prec@1 64.062 (69.502) Prec@5 90.625 (90.693) Test: [170/391] Time 0.108 (0.115) Loss 2.1266 (1.2179) Prec@1 47.656 (68.860) Prec@5 79.688 (90.241) Test: [180/391] Time 0.106 (0.115) Loss 2.6660 (1.2619) Prec@1 39.062 (67.999) Prec@5 79.688 (89.675) Test: [190/391] Time 0.102 (0.114) Loss 2.3466 (1.3047) Prec@1 48.438 (67.175) Prec@5 80.469 (89.091) Test: [200/391] Time 0.103 (0.114) Loss 1.5538 (1.3405) Prec@1 57.812 (66.488) Prec@5 85.156 (88.565) Test: [210/391] Time 0.108 (0.114) Loss 1.4998 (1.3610) Prec@1 70.312 (66.162) Prec@5 87.500 (88.296) Test: [220/391] Time 0.104 (0.113) Loss 0.9909 (1.3728) Prec@1 74.219 (65.979) Prec@5 91.406 (88.062) Test: [230/391] Time 0.101 (0.113) Loss 2.0752 (1.3838) Prec@1 50.000 (65.872) Prec@5 82.812 (87.973) Test: [240/391] Time 0.100 (0.113) Loss 1.6259 (1.3941) Prec@1 65.625 (65.781) Prec@5 83.594 (87.750) Test: [250/391] Time 0.105 (0.112) Loss 1.0415 (1.4229) Prec@1 74.219 (65.211) Prec@5 89.062 (87.329) Test: [260/391] Time 0.107 (0.112) Loss 1.7378 (1.4377) Prec@1 64.062 (64.955) Prec@5 79.688 (87.108) Test: [270/391] Time 0.112 (0.112) Loss 2.4169 (1.4510) Prec@1 44.531 (64.700) Prec@5 75.781 (86.848) Test: [280/391] Time 0.105 (0.111) Loss 1.3367 (1.4625) Prec@1 66.406 (64.555) Prec@5 87.500 (86.705) Test: [290/391] Time 0.109 (0.112) Loss 2.4265 (1.4771) Prec@1 28.906 (64.301) Prec@5 76.562 (86.445) Test: [300/391] Time 0.106 (0.111) Loss 1.5668 (1.4905) Prec@1 71.094 (64.120) Prec@5 85.156 (86.215) Test: [310/391] Time 0.108 (0.111) Loss 2.0460 (1.5008) Prec@1 57.031 (63.939) Prec@5 77.344 (86.048) Test: [320/391] Time 0.109 (0.111) Loss 1.0783 (1.5075) Prec@1 76.562 (63.865) Prec@5 92.969 (85.974) Test: [330/391] Time 0.103 (0.111) Loss 2.3199 (1.5310) Prec@1 50.000 (63.402) Prec@5 72.656 (85.621) Test: [340/391] Time 0.103 (0.111) Loss 1.6150 (1.5390) Prec@1 57.031 (63.176) Prec@5 88.281 (85.514) Test: [350/391] Time 0.108 (0.111) Loss 1.7195 (1.5454) Prec@1 60.156 (63.110) Prec@5 83.594 (85.410) Test: [360/391] Time 0.105 (0.111) Loss 1.7460 (1.5540) Prec@1 56.250 (62.926) Prec@5 88.281 (85.355) Test: [370/391] Time 0.108 (0.111) Loss 1.2806 (1.5483) Prec@1 60.938 (62.980) Prec@5 92.188 (85.417) Test: [380/391] Time 0.099 (0.111) Loss 1.1267 (1.5506) Prec@1 79.688 (62.970) Prec@5 90.625 (85.402) Test: [390/391] Time 0.066 (0.111) Loss 2.5483 (1.5406) Prec@1 40.000 (63.196) Prec@5 70.000 (85.518) * Prec@1 63.196 Prec@5 85.518 Epoch: [41][0/10010] Time 2.342 (2.342) Data 2.130 (2.130) Loss 1.5089 (1.5089) Prec@1 60.156 (60.156) Prec@5 86.719 (86.719) Epoch: [41][10/10010] Time 0.321 (0.503) Data 0.000 (0.194) Loss 1.7054 (1.7745) Prec@1 62.500 (60.582) Prec@5 83.594 (81.392) Epoch: [41][20/10010] Time 0.323 (0.414) Data 0.001 (0.102) Loss 2.0802 (1.7902) Prec@1 53.906 (60.082) Prec@5 74.219 (80.804) Epoch: [41][30/10010] Time 0.315 (0.382) Data 0.001 (0.069) Loss 2.0436 (1.8168) Prec@1 56.250 (59.577) Prec@5 76.562 (80.318) Epoch: [41][40/10010] Time 0.314 (0.368) Data 0.000 (0.053) Loss 1.8115 (1.7839) Prec@1 59.375 (59.718) Prec@5 78.906 (80.907) Epoch: [41][50/10010] Time 0.322 (0.360) Data 0.001 (0.042) Loss 1.8842 (1.7820) Prec@1 57.812 (59.743) Prec@5 81.250 (80.959) Epoch: [41][60/10010] Time 0.329 (0.354) Data 0.000 (0.036) Loss 1.8893 (1.7868) Prec@1 54.688 (59.375) Prec@5 75.000 (80.866) Epoch: [41][70/10010] Time 0.315 (0.350) Data 0.000 (0.031) Loss 1.6906 (1.7686) Prec@1 63.281 (59.771) Prec@5 85.156 (81.261) Epoch: [41][80/10010] Time 0.315 (0.346) Data 0.001 (0.027) Loss 1.7936 (1.7657) Prec@1 56.250 (59.587) Prec@5 78.125 (81.308) Epoch: [41][90/10010] Time 0.339 (0.345) Data 0.000 (0.024) Loss 1.6653 (1.7671) Prec@1 63.281 (59.658) Prec@5 81.250 (81.319) Epoch: [41][100/10010] Time 0.339 (0.343) Data 0.000 (0.022) Loss 2.0635 (1.7720) Prec@1 50.000 (59.568) Prec@5 81.250 (81.273) Epoch: [41][110/10010] Time 0.330 (0.342) Data 0.001 (0.020) Loss 1.6569 (1.7696) Prec@1 60.938 (59.558) Prec@5 82.812 (81.306) Epoch: [41][120/10010] Time 0.332 (0.341) Data 0.000 (0.018) Loss 1.5749 (1.7670) Prec@1 61.719 (59.685) Prec@5 83.594 (81.340) Epoch: [41][130/10010] Time 0.335 (0.340) Data 0.000 (0.017) Loss 1.5411 (1.7632) Prec@1 65.625 (59.810) Prec@5 88.281 (81.459) Epoch: [41][140/10010] Time 0.319 (0.338) Data 0.000 (0.016) Loss 2.0299 (1.7629) Prec@1 52.344 (59.779) Prec@5 78.125 (81.499) Epoch: [41][150/10010] Time 0.322 (0.338) Data 0.001 (0.015) Loss 1.4595 (1.7614) Prec@1 67.969 (59.825) Prec@5 85.156 (81.524) Epoch: [41][160/10010] Time 0.316 (0.337) Data 0.000 (0.014) Loss 1.9477 (1.7707) Prec@1 60.156 (59.763) Prec@5 79.688 (81.400) Epoch: [41][170/10010] Time 0.317 (0.336) Data 0.001 (0.013) Loss 1.6439 (1.7671) Prec@1 56.250 (59.823) Prec@5 78.906 (81.392) Epoch: [41][180/10010] Time 0.322 (0.335) Data 0.001 (0.012) Loss 1.6429 (1.7664) Prec@1 63.281 (59.915) Prec@5 82.031 (81.418) Epoch: [41][190/10010] Time 0.320 (0.335) Data 0.001 (0.012) Loss 2.0228 (1.7694) Prec@1 57.812 (59.784) Prec@5 75.781 (81.373) Epoch: [41][200/10010] Time 0.315 (0.334) Data 0.000 (0.011) Loss 1.7340 (1.7721) Prec@1 59.375 (59.701) Prec@5 83.594 (81.359) Epoch: [41][210/10010] Time 0.325 (0.334) Data 0.001 (0.011) Loss 1.5787 (1.7693) Prec@1 61.719 (59.779) Prec@5 84.375 (81.391) Epoch: [41][220/10010] Time 0.320 (0.333) Data 0.001 (0.010) Loss 2.0038 (1.7750) Prec@1 57.031 (59.683) Prec@5 76.562 (81.356) Epoch: [41][230/10010] Time 0.315 (0.332) Data 0.001 (0.010) Loss 1.7174 (1.7762) Prec@1 60.938 (59.639) Prec@5 85.156 (81.402) Epoch: [41][240/10010] Time 0.330 (0.332) Data 0.001 (0.009) Loss 1.7261 (1.7751) Prec@1 61.719 (59.670) Prec@5 82.031 (81.386) Epoch: [41][250/10010] Time 0.338 (0.332) Data 0.001 (0.009) Loss 1.2902 (1.7712) Prec@1 70.312 (59.671) Prec@5 89.062 (81.468) Epoch: [41][260/10010] Time 0.319 (0.332) Data 0.000 (0.009) Loss 1.9654 (1.7724) Prec@1 57.812 (59.665) Prec@5 78.125 (81.442) Epoch: [41][270/10010] Time 0.322 (0.331) Data 0.000 (0.008) Loss 1.8141 (1.7741) Prec@1 50.000 (59.574) Prec@5 84.375 (81.400) Epoch: [41][280/10010] Time 0.318 (0.331) Data 0.001 (0.008) Loss 1.5958 (1.7754) Prec@1 64.844 (59.522) Prec@5 85.156 (81.408) Epoch: [41][290/10010] Time 0.322 (0.331) Data 0.000 (0.008) Loss 1.7164 (1.7773) Prec@1 67.188 (59.531) Prec@5 83.594 (81.400) Epoch: [41][300/10010] Time 0.331 (0.331) Data 0.001 (0.008) Loss 1.9570 (1.7780) Prec@1 58.594 (59.596) Prec@5 80.469 (81.401) Epoch: [41][310/10010] Time 0.332 (0.331) Data 0.001 (0.007) Loss 1.9729 (1.7785) Prec@1 53.125 (59.619) Prec@5 78.125 (81.371) Epoch: [41][320/10010] Time 0.327 (0.331) Data 0.001 (0.007) Loss 1.7975 (1.7815) Prec@1 60.156 (59.523) Prec@5 82.031 (81.345) Epoch: [41][330/10010] Time 0.331 (0.331) Data 0.001 (0.007) Loss 1.8710 (1.7839) Prec@1 64.062 (59.479) Prec@5 80.469 (81.295) Epoch: [41][340/10010] Time 0.325 (0.330) Data 0.000 (0.007) Loss 1.9040 (1.7838) Prec@1 53.906 (59.474) Prec@5 82.812 (81.282) Epoch: [41][350/10010] Time 0.325 (0.330) Data 0.001 (0.007) Loss 1.7184 (1.7830) Prec@1 61.719 (59.509) Prec@5 80.469 (81.281) Epoch: [41][360/10010] Time 0.323 (0.330) Data 0.001 (0.006) Loss 2.1054 (1.7852) Prec@1 50.781 (59.455) Prec@5 77.344 (81.244) Epoch: [41][370/10010] Time 0.333 (0.330) Data 0.001 (0.006) Loss 1.7510 (1.7847) Prec@1 58.594 (59.440) Prec@5 82.031 (81.242) Epoch: [41][380/10010] Time 0.333 (0.330) Data 0.001 (0.006) Loss 1.8301 (1.7844) Prec@1 57.031 (59.418) Prec@5 78.906 (81.248) Epoch: [41][390/10010] Time 0.325 (0.330) Data 0.000 (0.006) Loss 2.1087 (1.7854) Prec@1 56.250 (59.389) Prec@5 76.562 (81.228) Epoch: [41][400/10010] Time 0.312 (0.330) Data 0.000 (0.006) Loss 1.7153 (1.7843) Prec@1 57.812 (59.420) Prec@5 81.250 (81.231) Epoch: [41][410/10010] Time 0.323 (0.330) Data 0.001 (0.006) Loss 1.8886 (1.7848) Prec@1 59.375 (59.438) Prec@5 78.906 (81.214) Epoch: [41][420/10010] Time 0.330 (0.330) Data 0.001 (0.006) Loss 2.2495 (1.7855) Prec@1 58.594 (59.442) Prec@5 73.438 (81.205) Epoch: [41][430/10010] Time 0.341 (0.330) Data 0.001 (0.006) Loss 1.8729 (1.7861) Prec@1 57.031 (59.406) Prec@5 79.688 (81.188) Epoch: [41][440/10010] Time 0.318 (0.330) Data 0.001 (0.005) Loss 2.1016 (1.7866) Prec@1 53.125 (59.386) Prec@5 76.562 (81.211) Epoch: [41][450/10010] Time 0.321 (0.330) Data 0.001 (0.005) Loss 1.9405 (1.7888) Prec@1 60.938 (59.415) Prec@5 78.906 (81.176) Epoch: [41][460/10010] Time 0.334 (0.330) Data 0.000 (0.005) Loss 1.8292 (1.7882) Prec@1 64.844 (59.456) Prec@5 80.469 (81.187) Epoch: [41][470/10010] Time 0.315 (0.329) Data 0.001 (0.005) Loss 1.4830 (1.7886) Prec@1 66.406 (59.458) Prec@5 85.156 (81.185) Epoch: [41][480/10010] Time 0.339 (0.329) Data 0.000 (0.005) Loss 1.5296 (1.7895) Prec@1 64.844 (59.424) Prec@5 86.719 (81.185) Epoch: [41][490/10010] Time 0.322 (0.329) Data 0.000 (0.005) Loss 2.1368 (1.7897) Prec@1 53.125 (59.435) Prec@5 75.781 (81.180) Epoch: [41][500/10010] Time 0.323 (0.329) Data 0.000 (0.005) Loss 1.3427 (1.7879) Prec@1 68.750 (59.459) Prec@5 88.281 (81.227) Epoch: [41][510/10010] Time 0.312 (0.329) Data 0.001 (0.005) Loss 1.6673 (1.7863) Prec@1 59.375 (59.477) Prec@5 84.375 (81.250) Epoch: [41][520/10010] Time 0.318 (0.329) Data 0.000 (0.005) Loss 2.0801 (1.7895) Prec@1 53.906 (59.403) Prec@5 74.219 (81.192) Epoch: [41][530/10010] Time 0.319 (0.329) Data 0.000 (0.005) Loss 1.8640 (1.7893) Prec@1 57.812 (59.419) Prec@5 78.906 (81.165) Epoch: [41][540/10010] Time 0.326 (0.329) Data 0.001 (0.005) Loss 1.9639 (1.7905) Prec@1 57.031 (59.423) Prec@5 78.906 (81.119) Epoch: [41][550/10010] Time 0.315 (0.329) Data 0.001 (0.004) Loss 1.5043 (1.7885) Prec@1 65.625 (59.439) Prec@5 84.375 (81.139) Epoch: [41][560/10010] Time 0.315 (0.328) Data 0.001 (0.004) Loss 1.8333 (1.7889) Prec@1 50.781 (59.424) Prec@5 82.812 (81.130) Epoch: [41][570/10010] Time 0.319 (0.328) Data 0.000 (0.004) Loss 1.7029 (1.7897) Prec@1 58.594 (59.398) Prec@5 82.812 (81.134) Epoch: [41][580/10010] Time 0.335 (0.328) Data 0.000 (0.004) Loss 1.7565 (1.7891) Prec@1 63.281 (59.426) Prec@5 78.125 (81.142) Epoch: [41][590/10010] Time 0.326 (0.328) Data 0.000 (0.004) Loss 1.9366 (1.7885) Prec@1 53.906 (59.432) Prec@5 72.656 (81.136) Epoch: [41][600/10010] Time 0.324 (0.328) Data 0.000 (0.004) Loss 1.7795 (1.7893) Prec@1 57.031 (59.409) Prec@5 83.594 (81.116) Epoch: [41][610/10010] Time 0.319 (0.328) Data 0.001 (0.004) Loss 1.8830 (1.7887) Prec@1 57.031 (59.412) Prec@5 80.469 (81.127) Epoch: [41][620/10010] Time 0.307 (0.328) Data 0.001 (0.004) Loss 1.7673 (1.7885) Prec@1 61.719 (59.411) Prec@5 78.906 (81.118) Epoch: [41][630/10010] Time 0.315 (0.328) Data 0.001 (0.004) Loss 1.7968 (1.7893) Prec@1 61.719 (59.415) Prec@5 82.812 (81.119) Epoch: [41][640/10010] Time 0.317 (0.328) Data 0.000 (0.004) Loss 1.8371 (1.7888) Prec@1 60.156 (59.451) Prec@5 80.469 (81.113) Epoch: [41][650/10010] Time 0.324 (0.328) Data 0.001 (0.004) Loss 1.8702 (1.7884) Prec@1 57.812 (59.443) Prec@5 81.250 (81.120) Epoch: [41][660/10010] Time 0.336 (0.328) Data 0.000 (0.004) Loss 1.6149 (1.7875) Prec@1 64.062 (59.445) Prec@5 85.156 (81.127) Epoch: [41][670/10010] Time 0.320 (0.328) Data 0.000 (0.004) Loss 1.5068 (1.7875) Prec@1 66.406 (59.438) Prec@5 88.281 (81.136) Epoch: [41][680/10010] Time 0.333 (0.328) Data 0.001 (0.004) Loss 1.7253 (1.7878) Prec@1 64.062 (59.447) Prec@5 83.594 (81.130) Epoch: [41][690/10010] Time 0.322 (0.328) Data 0.001 (0.004) Loss 1.7300 (1.7885) Prec@1 60.938 (59.441) Prec@5 80.469 (81.122) Epoch: [41][700/10010] Time 0.329 (0.328) Data 0.001 (0.004) Loss 1.6747 (1.7894) Prec@1 60.938 (59.407) Prec@5 81.250 (81.094) Epoch: [41][710/10010] Time 0.320 (0.328) Data 0.001 (0.004) Loss 1.6363 (1.7905) Prec@1 64.844 (59.377) Prec@5 85.156 (81.076) Epoch: [41][720/10010] Time 0.325 (0.328) Data 0.001 (0.004) Loss 1.8270 (1.7914) Prec@1 59.375 (59.340) Prec@5 82.031 (81.063) Epoch: [41][730/10010] Time 0.329 (0.328) Data 0.000 (0.003) Loss 1.6823 (1.7920) Prec@1 60.938 (59.327) Prec@5 85.156 (81.059) Epoch: [41][740/10010] Time 0.321 (0.328) Data 0.001 (0.003) Loss 1.6244 (1.7908) Prec@1 64.062 (59.344) Prec@5 82.031 (81.072) Epoch: [41][750/10010] Time 0.315 (0.328) Data 0.000 (0.003) Loss 1.6167 (1.7905) Prec@1 65.625 (59.345) Prec@5 82.812 (81.080) Epoch: [41][760/10010] Time 0.339 (0.328) Data 0.000 (0.003) Loss 1.7723 (1.7903) Prec@1 59.375 (59.338) Prec@5 80.469 (81.089) Epoch: [41][770/10010] Time 0.332 (0.328) Data 0.000 (0.003) Loss 1.7892 (1.7901) Prec@1 58.594 (59.334) Prec@5 80.469 (81.080) Epoch: [41][780/10010] Time 0.339 (0.328) Data 0.001 (0.003) Loss 1.9009 (1.7896) Prec@1 60.938 (59.354) Prec@5 76.562 (81.088) Epoch: [41][790/10010] Time 0.325 (0.328) Data 0.000 (0.003) Loss 1.7270 (1.7893) Prec@1 57.812 (59.353) Prec@5 81.250 (81.092) Epoch: [41][800/10010] Time 0.337 (0.328) Data 0.001 (0.003) Loss 2.0534 (1.7909) Prec@1 55.469 (59.323) Prec@5 76.562 (81.072) Epoch: [41][810/10010] Time 0.339 (0.328) Data 0.001 (0.003) Loss 1.8439 (1.7906) Prec@1 55.469 (59.321) Prec@5 80.469 (81.068) Epoch: [41][820/10010] Time 0.339 (0.328) Data 0.001 (0.003) Loss 2.1136 (1.7908) Prec@1 55.469 (59.328) Prec@5 75.781 (81.063) Epoch: [41][830/10010] Time 0.334 (0.328) Data 0.001 (0.003) Loss 1.9799 (1.7910) Prec@1 57.031 (59.316) Prec@5 78.125 (81.065) Epoch: [41][840/10010] Time 0.313 (0.328) Data 0.001 (0.003) Loss 1.5637 (1.7900) Prec@1 61.719 (59.327) Prec@5 85.156 (81.083) Epoch: [41][850/10010] Time 0.327 (0.328) Data 0.001 (0.003) Loss 1.7131 (1.7896) Prec@1 57.812 (59.351) Prec@5 82.031 (81.082) Epoch: [41][860/10010] Time 0.317 (0.328) Data 0.000 (0.003) Loss 1.8595 (1.7896) Prec@1 54.688 (59.334) Prec@5 78.906 (81.090) Epoch: [41][870/10010] Time 0.323 (0.328) Data 0.001 (0.003) Loss 1.7186 (1.7901) Prec@1 60.156 (59.338) Prec@5 83.594 (81.090) Epoch: [41][880/10010] Time 0.337 (0.328) Data 0.001 (0.003) Loss 1.6536 (1.7901) Prec@1 65.625 (59.324) Prec@5 84.375 (81.092) Epoch: [41][890/10010] Time 0.333 (0.328) Data 0.000 (0.003) Loss 1.6775 (1.7905) Prec@1 60.156 (59.314) Prec@5 80.469 (81.075) Epoch: [41][900/10010] Time 0.318 (0.328) Data 0.000 (0.003) Loss 1.7982 (1.7909) Prec@1 61.719 (59.317) Prec@5 81.250 (81.066) Epoch: [41][910/10010] Time 0.321 (0.328) Data 0.001 (0.003) Loss 2.0828 (1.7913) Prec@1 53.125 (59.309) Prec@5 75.781 (81.072) Epoch: [41][920/10010] Time 0.324 (0.328) Data 0.000 (0.003) Loss 1.5840 (1.7913) Prec@1 65.625 (59.317) Prec@5 81.250 (81.070) Epoch: [41][930/10010] Time 0.336 (0.328) Data 0.001 (0.003) Loss 1.8585 (1.7917) Prec@1 54.688 (59.305) Prec@5 75.781 (81.074) Epoch: [41][940/10010] Time 0.317 (0.328) Data 0.000 (0.003) Loss 2.0610 (1.7930) Prec@1 58.594 (59.303) Prec@5 78.125 (81.058) Epoch: [41][950/10010] Time 0.314 (0.328) Data 0.001 (0.003) Loss 1.4625 (1.7926) Prec@1 65.625 (59.303) Prec@5 85.938 (81.059) Epoch: [41][960/10010] Time 0.333 (0.328) Data 0.001 (0.003) Loss 1.8113 (1.7922) Prec@1 59.375 (59.308) Prec@5 83.594 (81.070) Epoch: [41][970/10010] Time 0.340 (0.328) Data 0.000 (0.003) Loss 2.2003 (1.7930) Prec@1 54.688 (59.287) Prec@5 75.781 (81.066) Epoch: [41][980/10010] Time 0.326 (0.328) Data 0.001 (0.003) Loss 1.8894 (1.7940) Prec@1 53.906 (59.282) Prec@5 78.906 (81.051) Epoch: [41][990/10010] Time 0.340 (0.328) Data 0.000 (0.003) Loss 1.9115 (1.7936) Prec@1 59.375 (59.280) Prec@5 80.469 (81.060) Epoch: [41][1000/10010] Time 0.337 (0.328) Data 0.000 (0.003) Loss 2.0092 (1.7941) Prec@1 58.594 (59.272) Prec@5 77.344 (81.048) Epoch: [41][1010/10010] Time 0.314 (0.327) Data 0.001 (0.003) Loss 1.8620 (1.7941) Prec@1 55.469 (59.269) Prec@5 79.688 (81.050) Epoch: [41][1020/10010] Time 0.339 (0.328) Data 0.001 (0.003) Loss 1.6274 (1.7944) Prec@1 60.156 (59.263) Prec@5 84.375 (81.038) Epoch: [41][1030/10010] Time 0.313 (0.328) Data 0.001 (0.003) Loss 1.4939 (1.7941) Prec@1 62.500 (59.273) Prec@5 83.594 (81.051) Epoch: [41][1040/10010] Time 0.322 (0.328) Data 0.001 (0.003) Loss 1.5266 (1.7927) Prec@1 66.406 (59.303) Prec@5 85.156 (81.067) Epoch: [41][1050/10010] Time 0.317 (0.327) Data 0.001 (0.003) Loss 1.7430 (1.7929) Prec@1 62.500 (59.305) Prec@5 79.688 (81.067) Epoch: [41][1060/10010] Time 0.322 (0.327) Data 0.001 (0.003) Loss 1.6614 (1.7925) Prec@1 64.844 (59.322) Prec@5 83.594 (81.072) Epoch: [41][1070/10010] Time 0.316 (0.327) Data 0.000 (0.003) Loss 1.9896 (1.7926) Prec@1 55.469 (59.312) Prec@5 78.906 (81.071) Epoch: [41][1080/10010] Time 0.333 (0.327) Data 0.001 (0.003) Loss 1.8718 (1.7932) Prec@1 55.469 (59.299) Prec@5 81.250 (81.060) Epoch: [41][1090/10010] Time 0.317 (0.327) Data 0.000 (0.003) Loss 1.8689 (1.7933) Prec@1 54.688 (59.291) Prec@5 83.594 (81.055) Epoch: [41][1100/10010] Time 0.331 (0.327) Data 0.000 (0.003) Loss 2.0289 (1.7928) Prec@1 56.250 (59.298) Prec@5 75.000 (81.058) Epoch: [41][1110/10010] Time 0.321 (0.327) Data 0.000 (0.003) Loss 2.0159 (1.7921) Prec@1 61.719 (59.315) Prec@5 79.688 (81.081) Epoch: [41][1120/10010] Time 0.326 (0.327) Data 0.001 (0.003) Loss 1.5822 (1.7924) Prec@1 58.594 (59.307) Prec@5 85.938 (81.083) Epoch: [41][1130/10010] Time 0.324 (0.327) Data 0.001 (0.002) Loss 1.8078 (1.7924) Prec@1 61.719 (59.316) Prec@5 79.688 (81.084) Epoch: [41][1140/10010] Time 0.328 (0.327) Data 0.001 (0.002) Loss 1.8145 (1.7923) Prec@1 60.156 (59.335) Prec@5 85.156 (81.087) Epoch: [41][1150/10010] Time 0.336 (0.327) Data 0.000 (0.002) Loss 1.7665 (1.7919) Prec@1 59.375 (59.338) Prec@5 80.469 (81.090) Epoch: [41][1160/10010] Time 0.321 (0.327) Data 0.001 (0.002) Loss 1.7614 (1.7919) Prec@1 62.500 (59.354) Prec@5 80.469 (81.096) Epoch: [41][1170/10010] Time 0.327 (0.327) Data 0.001 (0.002) Loss 1.5779 (1.7913) Prec@1 63.281 (59.367) Prec@5 85.938 (81.100) Epoch: [41][1180/10010] Time 0.320 (0.327) Data 0.000 (0.002) Loss 2.0040 (1.7911) Prec@1 56.250 (59.380) Prec@5 76.562 (81.102) Epoch: [41][1190/10010] Time 0.324 (0.327) Data 0.000 (0.002) Loss 1.6906 (1.7903) Prec@1 57.812 (59.393) Prec@5 84.375 (81.110) Epoch: [41][1200/10010] Time 0.318 (0.327) Data 0.001 (0.002) Loss 1.7483 (1.7900) Prec@1 57.812 (59.388) Prec@5 82.031 (81.113) Epoch: [41][1210/10010] Time 0.335 (0.327) Data 0.000 (0.002) Loss 2.0955 (1.7897) Prec@1 55.469 (59.398) Prec@5 75.781 (81.125) Epoch: [41][1220/10010] Time 0.344 (0.327) Data 0.000 (0.002) Loss 1.5784 (1.7897) Prec@1 60.156 (59.381) Prec@5 83.594 (81.127) Epoch: [41][1230/10010] Time 0.317 (0.327) Data 0.001 (0.002) Loss 1.7348 (1.7909) Prec@1 53.906 (59.360) Prec@5 85.156 (81.110) Epoch: [41][1240/10010] Time 0.317 (0.327) Data 0.000 (0.002) Loss 1.5710 (1.7903) Prec@1 64.844 (59.392) Prec@5 83.594 (81.124) Epoch: [41][1250/10010] Time 0.341 (0.327) Data 0.000 (0.002) Loss 1.5453 (1.7904) Prec@1 65.625 (59.384) Prec@5 85.938 (81.124) Epoch: [41][1260/10010] Time 0.320 (0.327) Data 0.001 (0.002) Loss 1.6642 (1.7895) Prec@1 61.719 (59.408) Prec@5 83.594 (81.133) Epoch: [41][1270/10010] Time 0.330 (0.327) Data 0.001 (0.002) Loss 1.6807 (1.7891) Prec@1 58.594 (59.401) Prec@5 82.031 (81.145) Epoch: [41][1280/10010] Time 0.324 (0.327) Data 0.001 (0.002) Loss 1.9448 (1.7895) Prec@1 56.250 (59.380) Prec@5 76.562 (81.140) Epoch: [41][1290/10010] Time 0.321 (0.327) Data 0.000 (0.002) Loss 1.7725 (1.7895) Prec@1 57.031 (59.380) Prec@5 78.125 (81.135) Epoch: [41][1300/10010] Time 0.339 (0.327) Data 0.001 (0.002) Loss 1.9525 (1.7904) Prec@1 53.906 (59.349) Prec@5 76.562 (81.128) Epoch: [41][1310/10010] Time 0.327 (0.327) Data 0.001 (0.002) Loss 1.7587 (1.7908) Prec@1 60.938 (59.339) Prec@5 80.469 (81.117) Epoch: [41][1320/10010] Time 0.339 (0.327) Data 0.001 (0.002) Loss 1.8709 (1.7901) Prec@1 59.375 (59.355) Prec@5 80.469 (81.133) Epoch: [41][1330/10010] Time 0.317 (0.327) Data 0.000 (0.002) Loss 1.4879 (1.7901) Prec@1 62.500 (59.350) Prec@5 85.156 (81.140) Epoch: [41][1340/10010] Time 0.341 (0.327) Data 0.000 (0.002) Loss 1.8696 (1.7902) Prec@1 61.719 (59.341) Prec@5 80.469 (81.137) Epoch: [41][1350/10010] Time 0.315 (0.327) Data 0.001 (0.002) Loss 1.7303 (1.7906) Prec@1 63.281 (59.326) Prec@5 79.688 (81.122) Epoch: [41][1360/10010] Time 0.318 (0.327) Data 0.000 (0.002) Loss 1.8251 (1.7909) Prec@1 56.250 (59.318) Prec@5 80.469 (81.116) Epoch: [41][1370/10010] Time 0.329 (0.327) Data 0.001 (0.002) Loss 1.7823 (1.7912) Prec@1 60.156 (59.317) Prec@5 82.031 (81.111) Epoch: [41][1380/10010] Time 0.320 (0.327) Data 0.001 (0.002) Loss 1.7207 (1.7919) Prec@1 63.281 (59.308) Prec@5 83.594 (81.100) Epoch: [41][1390/10010] Time 0.334 (0.327) Data 0.001 (0.002) Loss 1.5460 (1.7916) Prec@1 60.938 (59.323) Prec@5 85.156 (81.102) Epoch: [41][1400/10010] Time 0.315 (0.327) Data 0.000 (0.002) Loss 1.8094 (1.7913) Prec@1 63.281 (59.323) Prec@5 82.031 (81.108) Epoch: [41][1410/10010] Time 0.307 (0.327) Data 0.000 (0.002) Loss 1.6272 (1.7907) Prec@1 68.750 (59.338) Prec@5 79.688 (81.112) Epoch: [41][1420/10010] Time 0.331 (0.327) Data 0.001 (0.002) Loss 1.7785 (1.7905) Prec@1 54.688 (59.340) Prec@5 82.031 (81.117) Epoch: [41][1430/10010] Time 0.312 (0.327) Data 0.001 (0.002) Loss 1.6614 (1.7903) Prec@1 64.844 (59.347) Prec@5 84.375 (81.119) Epoch: [41][1440/10010] Time 0.317 (0.327) Data 0.000 (0.002) Loss 1.9032 (1.7908) Prec@1 56.250 (59.337) Prec@5 80.469 (81.112) Epoch: [41][1450/10010] Time 0.318 (0.327) Data 0.000 (0.002) Loss 1.9910 (1.7910) Prec@1 57.031 (59.341) Prec@5 76.562 (81.102) Epoch: [41][1460/10010] Time 0.335 (0.327) Data 0.000 (0.002) Loss 1.3464 (1.7900) Prec@1 65.625 (59.353) Prec@5 87.500 (81.122) Epoch: [41][1470/10010] Time 0.338 (0.327) Data 0.000 (0.002) Loss 1.8504 (1.7897) Prec@1 57.812 (59.352) Prec@5 79.688 (81.128) Epoch: [41][1480/10010] Time 0.310 (0.327) Data 0.001 (0.002) Loss 2.0430 (1.7896) Prec@1 53.125 (59.351) Prec@5 78.125 (81.133) Epoch: [41][1490/10010] Time 0.332 (0.327) Data 0.000 (0.002) Loss 1.8311 (1.7898) Prec@1 51.562 (59.346) Prec@5 82.031 (81.130) Epoch: [41][1500/10010] Time 0.325 (0.327) Data 0.000 (0.002) Loss 1.7597 (1.7902) Prec@1 57.812 (59.344) Prec@5 81.250 (81.119) Epoch: [41][1510/10010] Time 0.320 (0.327) Data 0.000 (0.002) Loss 1.7442 (1.7905) Prec@1 55.469 (59.338) Prec@5 80.469 (81.117) Epoch: [41][1520/10010] Time 0.319 (0.327) Data 0.001 (0.002) Loss 1.8174 (1.7909) Prec@1 60.156 (59.329) Prec@5 83.594 (81.106) Epoch: [41][1530/10010] Time 0.320 (0.327) Data 0.001 (0.002) Loss 1.9932 (1.7906) Prec@1 51.562 (59.330) Prec@5 78.125 (81.113) Epoch: [41][1540/10010] Time 0.317 (0.327) Data 0.001 (0.002) Loss 1.9672 (1.7911) Prec@1 57.812 (59.334) Prec@5 82.031 (81.109) Epoch: [41][1550/10010] Time 0.325 (0.327) Data 0.000 (0.002) Loss 1.6079 (1.7917) Prec@1 64.844 (59.322) Prec@5 82.031 (81.095) Epoch: [41][1560/10010] Time 0.337 (0.327) Data 0.000 (0.002) Loss 1.7849 (1.7920) Prec@1 60.156 (59.321) Prec@5 82.812 (81.101) Epoch: [41][1570/10010] Time 0.337 (0.327) Data 0.000 (0.002) Loss 1.6154 (1.7920) Prec@1 65.625 (59.323) Prec@5 82.031 (81.104) Epoch: [41][1580/10010] Time 0.330 (0.327) Data 0.000 (0.002) Loss 1.8355 (1.7918) Prec@1 55.469 (59.323) Prec@5 79.688 (81.115) Epoch: [41][1590/10010] Time 0.316 (0.327) Data 0.001 (0.002) Loss 1.9347 (1.7915) Prec@1 57.812 (59.322) Prec@5 76.562 (81.118) Epoch: [41][1600/10010] Time 0.317 (0.327) Data 0.000 (0.002) Loss 1.8880 (1.7913) Prec@1 57.812 (59.315) Prec@5 77.344 (81.117) Epoch: [41][1610/10010] Time 0.326 (0.327) Data 0.000 (0.002) Loss 1.7099 (1.7912) Prec@1 60.156 (59.318) Prec@5 78.125 (81.106) Epoch: [41][1620/10010] Time 0.311 (0.327) Data 0.001 (0.002) Loss 1.9350 (1.7911) Prec@1 56.250 (59.326) Prec@5 80.469 (81.107) Epoch: [41][1630/10010] Time 0.326 (0.327) Data 0.001 (0.002) Loss 1.5817 (1.7913) Prec@1 60.156 (59.323) Prec@5 85.156 (81.106) Epoch: [41][1640/10010] Time 0.316 (0.327) Data 0.001 (0.002) Loss 1.8168 (1.7909) Prec@1 58.594 (59.314) Prec@5 82.812 (81.111) Epoch: [41][1650/10010] Time 0.327 (0.327) Data 0.001 (0.002) Loss 1.7433 (1.7912) Prec@1 59.375 (59.314) Prec@5 78.906 (81.109) Epoch: [41][1660/10010] Time 0.333 (0.327) Data 0.000 (0.002) Loss 1.4798 (1.7910) Prec@1 63.281 (59.321) Prec@5 86.719 (81.112) Epoch: [41][1670/10010] Time 0.323 (0.327) Data 0.001 (0.002) Loss 2.0839 (1.7913) Prec@1 52.344 (59.315) Prec@5 75.000 (81.104) Epoch: [41][1680/10010] Time 0.332 (0.327) Data 0.001 (0.002) Loss 1.8952 (1.7917) Prec@1 60.156 (59.310) Prec@5 77.344 (81.091) Epoch: [41][1690/10010] Time 0.320 (0.327) Data 0.001 (0.002) Loss 1.8132 (1.7917) Prec@1 60.938 (59.314) Prec@5 79.688 (81.085) Epoch: [41][1700/10010] Time 0.334 (0.327) Data 0.001 (0.002) Loss 1.6346 (1.7924) Prec@1 60.938 (59.317) Prec@5 81.250 (81.073) Epoch: [41][1710/10010] Time 0.321 (0.327) Data 0.001 (0.002) Loss 1.5653 (1.7921) Prec@1 59.375 (59.322) Prec@5 85.156 (81.076) Epoch: [41][1720/10010] Time 0.312 (0.327) Data 0.001 (0.002) Loss 1.7734 (1.7919) Prec@1 59.375 (59.326) Prec@5 78.125 (81.079) Epoch: [41][1730/10010] Time 0.328 (0.327) Data 0.001 (0.002) Loss 1.9034 (1.7923) Prec@1 55.469 (59.325) Prec@5 77.344 (81.074) Epoch: [41][1740/10010] Time 0.318 (0.327) Data 0.000 (0.002) Loss 1.9587 (1.7929) Prec@1 57.031 (59.319) Prec@5 75.000 (81.060) Epoch: [41][1750/10010] Time 0.323 (0.327) Data 0.001 (0.002) Loss 2.1302 (1.7935) Prec@1 50.781 (59.297) Prec@5 77.344 (81.043) Epoch: [41][1760/10010] Time 0.327 (0.327) Data 0.001 (0.002) Loss 1.9177 (1.7936) Prec@1 57.031 (59.277) Prec@5 81.250 (81.041) Epoch: [41][1770/10010] Time 0.320 (0.327) Data 0.001 (0.002) Loss 1.8285 (1.7937) Prec@1 65.625 (59.278) Prec@5 79.688 (81.040) Epoch: [41][1780/10010] Time 0.330 (0.327) Data 0.000 (0.002) Loss 1.8385 (1.7938) Prec@1 55.469 (59.277) Prec@5 78.906 (81.040) Epoch: [41][1790/10010] Time 0.332 (0.327) Data 0.001 (0.002) Loss 1.9509 (1.7937) Prec@1 54.688 (59.282) Prec@5 80.469 (81.046) Epoch: [41][1800/10010] Time 0.326 (0.327) Data 0.001 (0.002) Loss 1.7976 (1.7929) Prec@1 62.500 (59.299) Prec@5 79.688 (81.052) Epoch: [41][1810/10010] Time 0.324 (0.327) Data 0.001 (0.002) Loss 1.6486 (1.7927) Prec@1 60.156 (59.299) Prec@5 82.031 (81.051) Epoch: [41][1820/10010] Time 0.335 (0.327) Data 0.000 (0.002) Loss 1.8173 (1.7929) Prec@1 57.031 (59.293) Prec@5 80.469 (81.047) Epoch: [41][1830/10010] Time 0.322 (0.327) Data 0.001 (0.002) Loss 1.9821 (1.7938) Prec@1 50.781 (59.286) Prec@5 78.125 (81.035) Epoch: [41][1840/10010] Time 0.322 (0.327) Data 0.000 (0.002) Loss 1.8153 (1.7939) Prec@1 57.812 (59.289) Prec@5 84.375 (81.038) Epoch: [41][1850/10010] Time 0.317 (0.327) Data 0.001 (0.002) Loss 1.7468 (1.7936) Prec@1 62.500 (59.291) Prec@5 78.906 (81.045) Epoch: [41][1860/10010] Time 0.319 (0.327) Data 0.000 (0.002) Loss 1.9261 (1.7933) Prec@1 60.938 (59.298) Prec@5 75.781 (81.043) Epoch: [41][1870/10010] Time 0.319 (0.327) Data 0.001 (0.002) Loss 1.4684 (1.7936) Prec@1 64.062 (59.298) Prec@5 85.938 (81.040) Epoch: [41][1880/10010] Time 0.338 (0.327) Data 0.001 (0.002) Loss 1.9763 (1.7939) Prec@1 60.156 (59.289) Prec@5 79.688 (81.044) Epoch: [41][1890/10010] Time 0.332 (0.327) Data 0.000 (0.002) Loss 1.8267 (1.7934) Prec@1 58.594 (59.308) Prec@5 78.125 (81.049) Epoch: [41][1900/10010] Time 0.337 (0.327) Data 0.001 (0.002) Loss 1.7450 (1.7933) Prec@1 57.812 (59.315) Prec@5 82.031 (81.053) Epoch: [41][1910/10010] Time 0.343 (0.327) Data 0.001 (0.002) Loss 2.1502 (1.7935) Prec@1 57.031 (59.313) Prec@5 76.562 (81.052) Epoch: [41][1920/10010] Time 0.310 (0.327) Data 0.001 (0.002) Loss 1.8117 (1.7938) Prec@1 60.156 (59.308) Prec@5 77.344 (81.045) Epoch: [41][1930/10010] Time 0.319 (0.327) Data 0.001 (0.002) Loss 1.6298 (1.7939) Prec@1 59.375 (59.301) Prec@5 86.719 (81.046) Epoch: [41][1940/10010] Time 0.331 (0.327) Data 0.001 (0.002) Loss 1.6455 (1.7933) Prec@1 61.719 (59.309) Prec@5 82.031 (81.053) Epoch: [41][1950/10010] Time 0.330 (0.327) Data 0.000 (0.002) Loss 1.5421 (1.7929) Prec@1 64.062 (59.316) Prec@5 82.031 (81.061) Epoch: [41][1960/10010] Time 0.336 (0.327) Data 0.000 (0.002) Loss 1.6551 (1.7922) Prec@1 60.938 (59.328) Prec@5 80.469 (81.069) Epoch: [41][1970/10010] Time 0.328 (0.327) Data 0.001 (0.002) Loss 1.9191 (1.7922) Prec@1 52.344 (59.325) Prec@5 78.125 (81.066) Epoch: [41][1980/10010] Time 0.318 (0.327) Data 0.001 (0.002) Loss 1.5677 (1.7924) Prec@1 62.500 (59.321) Prec@5 82.031 (81.066) Epoch: [41][1990/10010] Time 0.331 (0.327) Data 0.001 (0.002) Loss 2.1971 (1.7925) Prec@1 52.344 (59.324) Prec@5 74.219 (81.069) Epoch: [41][2000/10010] Time 0.339 (0.327) Data 0.001 (0.002) Loss 1.5746 (1.7923) Prec@1 60.938 (59.327) Prec@5 86.719 (81.070) Epoch: [41][2010/10010] Time 0.335 (0.327) Data 0.001 (0.002) Loss 2.1146 (1.7923) Prec@1 52.344 (59.326) Prec@5 78.906 (81.071) Epoch: [41][2020/10010] Time 0.337 (0.327) Data 0.000 (0.002) Loss 2.0447 (1.7923) Prec@1 57.812 (59.326) Prec@5 73.438 (81.066) Epoch: [41][2030/10010] Time 0.325 (0.327) Data 0.001 (0.002) Loss 1.5462 (1.7918) Prec@1 63.281 (59.333) Prec@5 86.719 (81.075) Epoch: [41][2040/10010] Time 0.327 (0.327) Data 0.001 (0.002) Loss 1.4560 (1.7923) Prec@1 59.375 (59.325) Prec@5 89.844 (81.070) Epoch: [41][2050/10010] Time 0.318 (0.327) Data 0.000 (0.002) Loss 1.7177 (1.7922) Prec@1 55.469 (59.322) Prec@5 82.812 (81.076) Epoch: [41][2060/10010] Time 0.337 (0.327) Data 0.000 (0.002) Loss 1.9339 (1.7919) Prec@1 60.156 (59.333) Prec@5 78.906 (81.079) Epoch: [41][2070/10010] Time 0.314 (0.327) Data 0.001 (0.002) Loss 1.8991 (1.7917) Prec@1 55.469 (59.334) Prec@5 80.469 (81.084) Epoch: [41][2080/10010] Time 0.336 (0.327) Data 0.001 (0.002) Loss 2.0223 (1.7921) Prec@1 53.906 (59.322) Prec@5 78.906 (81.083) Epoch: [41][2090/10010] Time 0.337 (0.327) Data 0.001 (0.002) Loss 2.1004 (1.7921) Prec@1 56.250 (59.319) Prec@5 73.438 (81.083) Epoch: [41][2100/10010] Time 0.326 (0.327) Data 0.000 (0.002) Loss 1.6864 (1.7920) Prec@1 60.156 (59.325) Prec@5 79.688 (81.078) Epoch: [41][2110/10010] Time 0.336 (0.327) Data 0.000 (0.002) Loss 1.9950 (1.7922) Prec@1 57.031 (59.321) Prec@5 78.906 (81.074) Epoch: [41][2120/10010] Time 0.340 (0.327) Data 0.000 (0.002) Loss 1.9657 (1.7918) Prec@1 53.906 (59.319) Prec@5 82.812 (81.082) Epoch: [41][2130/10010] Time 0.319 (0.327) Data 0.000 (0.002) Loss 1.7938 (1.7918) Prec@1 60.938 (59.318) Prec@5 80.469 (81.079) Epoch: [41][2140/10010] Time 0.330 (0.327) Data 0.000 (0.002) Loss 1.7090 (1.7919) Prec@1 60.938 (59.313) Prec@5 82.031 (81.074) Epoch: [41][2150/10010] Time 0.330 (0.327) Data 0.001 (0.002) Loss 1.7189 (1.7921) Prec@1 55.469 (59.303) Prec@5 84.375 (81.073) Epoch: [41][2160/10010] Time 0.317 (0.327) Data 0.001 (0.002) Loss 1.7389 (1.7919) Prec@1 60.156 (59.306) Prec@5 82.031 (81.076) Epoch: [41][2170/10010] Time 0.313 (0.327) Data 0.000 (0.002) Loss 2.2233 (1.7919) Prec@1 51.562 (59.303) Prec@5 75.781 (81.078) Epoch: [41][2180/10010] Time 0.332 (0.327) Data 0.000 (0.002) Loss 1.6250 (1.7919) Prec@1 61.719 (59.302) Prec@5 85.938 (81.078) Epoch: [41][2190/10010] Time 0.328 (0.327) Data 0.001 (0.002) Loss 2.0262 (1.7920) Prec@1 57.812 (59.294) Prec@5 82.031 (81.078) Epoch: [41][2200/10010] Time 0.323 (0.327) Data 0.000 (0.002) Loss 1.7401 (1.7918) Prec@1 57.031 (59.294) Prec@5 78.906 (81.080) Epoch: [41][2210/10010] Time 0.314 (0.327) Data 0.000 (0.002) Loss 1.8854 (1.7918) Prec@1 53.906 (59.290) Prec@5 82.031 (81.080) Epoch: [41][2220/10010] Time 0.328 (0.327) Data 0.000 (0.002) Loss 1.9961 (1.7916) Prec@1 55.469 (59.286) Prec@5 74.219 (81.078) Epoch: [41][2230/10010] Time 0.323 (0.327) Data 0.000 (0.002) Loss 1.6761 (1.7913) Prec@1 60.156 (59.288) Prec@5 83.594 (81.079) Epoch: [41][2240/10010] Time 0.313 (0.327) Data 0.001 (0.002) Loss 1.9636 (1.7910) Prec@1 57.031 (59.297) Prec@5 78.125 (81.086) Epoch: [41][2250/10010] Time 0.311 (0.327) Data 0.001 (0.002) Loss 1.8252 (1.7909) Prec@1 65.625 (59.299) Prec@5 78.906 (81.090) Epoch: [41][2260/10010] Time 0.338 (0.327) Data 0.000 (0.002) Loss 1.9945 (1.7912) Prec@1 53.906 (59.292) Prec@5 75.781 (81.087) Epoch: [41][2270/10010] Time 0.318 (0.327) Data 0.001 (0.002) Loss 1.4313 (1.7911) Prec@1 66.406 (59.295) Prec@5 86.719 (81.090) Epoch: [41][2280/10010] Time 0.331 (0.327) Data 0.000 (0.002) Loss 1.5101 (1.7907) Prec@1 63.281 (59.302) Prec@5 82.031 (81.094) Epoch: [41][2290/10010] Time 0.329 (0.327) Data 0.001 (0.002) Loss 2.1386 (1.7909) Prec@1 60.156 (59.300) Prec@5 76.562 (81.089) Epoch: [41][2300/10010] Time 0.326 (0.327) Data 0.001 (0.002) Loss 1.7755 (1.7910) Prec@1 54.688 (59.295) Prec@5 82.031 (81.090) Epoch: [41][2310/10010] Time 0.319 (0.327) Data 0.000 (0.002) Loss 1.5312 (1.7909) Prec@1 65.625 (59.301) Prec@5 86.719 (81.093) Epoch: [41][2320/10010] Time 0.311 (0.327) Data 0.001 (0.002) Loss 1.8474 (1.7911) Prec@1 60.938 (59.298) Prec@5 78.906 (81.092) Epoch: [41][2330/10010] Time 0.323 (0.327) Data 0.001 (0.002) Loss 1.9114 (1.7913) Prec@1 56.250 (59.297) Prec@5 82.031 (81.090) Epoch: [41][2340/10010] Time 0.334 (0.327) Data 0.000 (0.002) Loss 1.7458 (1.7907) Prec@1 58.594 (59.301) Prec@5 79.688 (81.095) Epoch: [41][2350/10010] Time 0.323 (0.327) Data 0.000 (0.002) Loss 1.7078 (1.7905) Prec@1 57.812 (59.298) Prec@5 79.688 (81.098) Epoch: [41][2360/10010] Time 0.320 (0.327) Data 0.001 (0.002) Loss 1.7673 (1.7907) Prec@1 60.156 (59.294) Prec@5 81.250 (81.100) Epoch: [41][2370/10010] Time 0.332 (0.327) Data 0.001 (0.002) Loss 2.2018 (1.7906) Prec@1 43.750 (59.293) Prec@5 78.906 (81.106) Epoch: [41][2380/10010] Time 0.338 (0.327) Data 0.000 (0.002) Loss 1.7105 (1.7905) Prec@1 57.812 (59.296) Prec@5 85.938 (81.104) Epoch: [41][2390/10010] Time 0.326 (0.327) Data 0.001 (0.002) Loss 1.7932 (1.7907) Prec@1 59.375 (59.286) Prec@5 81.250 (81.096) Epoch: [41][2400/10010] Time 0.317 (0.327) Data 0.001 (0.002) Loss 1.7655 (1.7908) Prec@1 60.938 (59.282) Prec@5 82.812 (81.093) Epoch: [41][2410/10010] Time 0.315 (0.327) Data 0.001 (0.002) Loss 1.7594 (1.7907) Prec@1 57.812 (59.277) Prec@5 82.031 (81.095) Epoch: [41][2420/10010] Time 0.321 (0.327) Data 0.001 (0.001) Loss 1.6162 (1.7904) Prec@1 63.281 (59.274) Prec@5 82.031 (81.095) Epoch: [41][2430/10010] Time 0.333 (0.327) Data 0.000 (0.001) Loss 1.5825 (1.7904) Prec@1 64.844 (59.273) Prec@5 82.812 (81.098) Epoch: [41][2440/10010] Time 0.328 (0.327) Data 0.000 (0.001) Loss 1.6182 (1.7904) Prec@1 60.938 (59.276) Prec@5 82.031 (81.093) Epoch: [41][2450/10010] Time 0.329 (0.327) Data 0.001 (0.001) Loss 1.6675 (1.7905) Prec@1 67.969 (59.274) Prec@5 82.812 (81.093) Epoch: [41][2460/10010] Time 0.319 (0.327) Data 0.001 (0.001) Loss 1.7104 (1.7902) Prec@1 60.938 (59.277) Prec@5 84.375 (81.100) Epoch: [41][2470/10010] Time 0.317 (0.327) Data 0.001 (0.001) Loss 1.9501 (1.7904) Prec@1 53.906 (59.276) Prec@5 82.031 (81.097) Epoch: [41][2480/10010] Time 0.334 (0.327) Data 0.001 (0.001) Loss 1.7003 (1.7904) Prec@1 64.844 (59.273) Prec@5 83.594 (81.101) Epoch: [41][2490/10010] Time 0.337 (0.327) Data 0.000 (0.001) Loss 2.0791 (1.7905) Prec@1 55.469 (59.275) Prec@5 75.000 (81.094) Epoch: [41][2500/10010] Time 0.335 (0.327) Data 0.001 (0.001) Loss 2.0266 (1.7906) Prec@1 53.125 (59.278) Prec@5 75.781 (81.092) Epoch: [41][2510/10010] Time 0.335 (0.327) Data 0.001 (0.001) Loss 1.7423 (1.7904) Prec@1 61.719 (59.291) Prec@5 81.250 (81.095) Epoch: [41][2520/10010] Time 0.326 (0.327) Data 0.000 (0.001) Loss 1.8947 (1.7905) Prec@1 60.938 (59.290) Prec@5 83.594 (81.096) Epoch: [41][2530/10010] Time 0.313 (0.327) Data 0.000 (0.001) Loss 1.9040 (1.7908) Prec@1 55.469 (59.291) Prec@5 76.562 (81.091) Epoch: [41][2540/10010] Time 0.331 (0.327) Data 0.001 (0.001) Loss 1.7966 (1.7904) Prec@1 60.938 (59.290) Prec@5 80.469 (81.097) Epoch: [41][2550/10010] Time 0.318 (0.327) Data 0.001 (0.001) Loss 1.9804 (1.7908) Prec@1 60.156 (59.283) Prec@5 76.562 (81.088) Epoch: [41][2560/10010] Time 0.315 (0.327) Data 0.000 (0.001) Loss 2.0364 (1.7911) Prec@1 50.781 (59.268) Prec@5 81.250 (81.085) Epoch: [41][2570/10010] Time 0.334 (0.327) Data 0.000 (0.001) Loss 1.7527 (1.7912) Prec@1 62.500 (59.270) Prec@5 81.250 (81.083) Epoch: [41][2580/10010] Time 0.322 (0.327) Data 0.000 (0.001) Loss 1.5640 (1.7907) Prec@1 60.938 (59.278) Prec@5 83.594 (81.089) Epoch: [41][2590/10010] Time 0.327 (0.327) Data 0.000 (0.001) Loss 1.8558 (1.7908) Prec@1 60.156 (59.279) Prec@5 82.812 (81.087) Epoch: [41][2600/10010] Time 0.318 (0.327) Data 0.000 (0.001) Loss 1.8157 (1.7909) Prec@1 60.156 (59.279) Prec@5 78.125 (81.081) Epoch: [41][2610/10010] Time 0.329 (0.327) Data 0.000 (0.001) Loss 2.0029 (1.7910) Prec@1 59.375 (59.275) Prec@5 76.562 (81.081) Epoch: [41][2620/10010] Time 0.321 (0.327) Data 0.001 (0.001) Loss 1.8294 (1.7914) Prec@1 53.906 (59.268) Prec@5 78.906 (81.076) Epoch: [41][2630/10010] Time 0.319 (0.327) Data 0.000 (0.001) Loss 1.7516 (1.7915) Prec@1 55.469 (59.266) Prec@5 84.375 (81.074) Epoch: [41][2640/10010] Time 0.330 (0.327) Data 0.001 (0.001) Loss 1.8601 (1.7916) Prec@1 57.812 (59.269) Prec@5 77.344 (81.073) Epoch: [41][2650/10010] Time 0.334 (0.327) Data 0.000 (0.001) Loss 1.7116 (1.7913) Prec@1 58.594 (59.278) Prec@5 82.031 (81.072) Epoch: [41][2660/10010] Time 0.323 (0.327) Data 0.001 (0.001) Loss 1.6411 (1.7912) Prec@1 61.719 (59.283) Prec@5 82.812 (81.079) Epoch: [41][2670/10010] Time 0.323 (0.327) Data 0.001 (0.001) Loss 1.7725 (1.7914) Prec@1 64.062 (59.283) Prec@5 78.906 (81.073) Epoch: [41][2680/10010] Time 0.323 (0.327) Data 0.001 (0.001) Loss 1.9467 (1.7915) Prec@1 60.156 (59.278) Prec@5 78.906 (81.073) Epoch: [41][2690/10010] Time 0.329 (0.327) Data 0.001 (0.001) Loss 1.6947 (1.7920) Prec@1 66.406 (59.264) Prec@5 82.031 (81.060) Epoch: [41][2700/10010] Time 0.328 (0.327) Data 0.001 (0.001) Loss 2.0187 (1.7927) Prec@1 53.125 (59.249) Prec@5 76.562 (81.047) Epoch: [41][2710/10010] Time 0.320 (0.327) Data 0.000 (0.001) Loss 1.6219 (1.7927) Prec@1 65.625 (59.246) Prec@5 81.250 (81.046) Epoch: [41][2720/10010] Time 0.340 (0.327) Data 0.000 (0.001) Loss 1.9071 (1.7927) Prec@1 60.156 (59.248) Prec@5 82.031 (81.052) Epoch: [41][2730/10010] Time 0.333 (0.327) Data 0.001 (0.001) Loss 1.5609 (1.7927) Prec@1 62.500 (59.240) Prec@5 85.156 (81.051) Epoch: [41][2740/10010] Time 0.316 (0.327) Data 0.001 (0.001) Loss 1.6306 (1.7929) Prec@1 58.594 (59.236) Prec@5 85.156 (81.052) Epoch: [41][2750/10010] Time 0.336 (0.327) Data 0.001 (0.001) Loss 1.8475 (1.7927) Prec@1 60.156 (59.246) Prec@5 77.344 (81.056) Epoch: [41][2760/10010] Time 0.332 (0.327) Data 0.001 (0.001) Loss 2.0476 (1.7931) Prec@1 59.375 (59.239) Prec@5 75.781 (81.049) Epoch: [41][2770/10010] Time 0.339 (0.327) Data 0.000 (0.001) Loss 1.9901 (1.7929) Prec@1 57.031 (59.244) Prec@5 75.000 (81.053) Epoch: [41][2780/10010] Time 0.322 (0.327) Data 0.001 (0.001) Loss 1.7309 (1.7930) Prec@1 67.188 (59.249) Prec@5 82.031 (81.053) Epoch: [41][2790/10010] Time 0.332 (0.327) Data 0.001 (0.001) Loss 1.8484 (1.7934) Prec@1 64.844 (59.245) Prec@5 78.906 (81.044) Epoch: [41][2800/10010] Time 0.325 (0.327) Data 0.000 (0.001) Loss 2.0834 (1.7936) Prec@1 53.125 (59.243) Prec@5 77.344 (81.043) Epoch: [41][2810/10010] Time 0.319 (0.327) Data 0.000 (0.001) Loss 2.0323 (1.7937) Prec@1 53.125 (59.240) Prec@5 76.562 (81.039) Epoch: [41][2820/10010] Time 0.318 (0.327) Data 0.001 (0.001) Loss 1.8991 (1.7938) Prec@1 55.469 (59.240) Prec@5 76.562 (81.034) Epoch: [41][2830/10010] Time 0.318 (0.327) Data 0.001 (0.001) Loss 1.7717 (1.7938) Prec@1 60.156 (59.238) Prec@5 81.250 (81.030) Epoch: [41][2840/10010] Time 0.336 (0.327) Data 0.000 (0.001) Loss 1.6790 (1.7938) Prec@1 54.688 (59.237) Prec@5 82.031 (81.031) Epoch: [41][2850/10010] Time 0.318 (0.327) Data 0.001 (0.001) Loss 1.7815 (1.7937) Prec@1 56.250 (59.237) Prec@5 82.812 (81.033) Epoch: [41][2860/10010] Time 0.323 (0.327) Data 0.000 (0.001) Loss 1.9303 (1.7938) Prec@1 49.219 (59.226) Prec@5 79.688 (81.028) Epoch: [41][2870/10010] Time 0.337 (0.327) Data 0.001 (0.001) Loss 1.7739 (1.7940) Prec@1 63.281 (59.228) Prec@5 83.594 (81.024) Epoch: [41][2880/10010] Time 0.337 (0.327) Data 0.000 (0.001) Loss 1.6174 (1.7938) Prec@1 60.938 (59.232) Prec@5 82.812 (81.027) Epoch: [41][2890/10010] Time 0.324 (0.327) Data 0.001 (0.001) Loss 1.7196 (1.7940) Prec@1 58.594 (59.230) Prec@5 84.375 (81.024) Epoch: [41][2900/10010] Time 0.337 (0.327) Data 0.001 (0.001) Loss 2.0388 (1.7942) Prec@1 50.000 (59.221) Prec@5 77.344 (81.021) Epoch: [41][2910/10010] Time 0.321 (0.327) Data 0.001 (0.001) Loss 1.8817 (1.7945) Prec@1 57.031 (59.219) Prec@5 77.344 (81.015) Epoch: [41][2920/10010] Time 0.313 (0.327) Data 0.000 (0.001) Loss 1.6067 (1.7943) Prec@1 66.406 (59.223) Prec@5 85.156 (81.019) Epoch: [41][2930/10010] Time 0.311 (0.327) Data 0.001 (0.001) Loss 2.1417 (1.7947) Prec@1 50.000 (59.222) Prec@5 76.562 (81.013) Epoch: [41][2940/10010] Time 0.319 (0.327) Data 0.000 (0.001) Loss 1.7362 (1.7947) Prec@1 60.156 (59.223) Prec@5 85.938 (81.012) Epoch: [41][2950/10010] Time 0.326 (0.327) Data 0.001 (0.001) Loss 1.9467 (1.7950) Prec@1 53.906 (59.215) Prec@5 78.125 (81.005) Epoch: [41][2960/10010] Time 0.318 (0.327) Data 0.000 (0.001) Loss 1.7942 (1.7948) Prec@1 60.938 (59.215) Prec@5 81.250 (81.008) Epoch: [41][2970/10010] Time 0.340 (0.327) Data 0.001 (0.001) Loss 1.9485 (1.7950) Prec@1 56.250 (59.209) Prec@5 77.344 (81.007) Epoch: [41][2980/10010] Time 0.321 (0.327) Data 0.000 (0.001) Loss 1.8516 (1.7949) Prec@1 53.906 (59.208) Prec@5 82.031 (81.007) Epoch: [41][2990/10010] Time 0.342 (0.327) Data 0.001 (0.001) Loss 2.2155 (1.7950) Prec@1 54.688 (59.207) Prec@5 74.219 (81.003) Epoch: [41][3000/10010] Time 0.333 (0.327) Data 0.001 (0.001) Loss 1.9015 (1.7951) Prec@1 59.375 (59.202) Prec@5 83.594 (81.003) Epoch: [41][3010/10010] Time 0.327 (0.327) Data 0.001 (0.001) Loss 1.7011 (1.7951) Prec@1 59.375 (59.201) Prec@5 81.250 (81.004) Epoch: [41][3020/10010] Time 0.321 (0.327) Data 0.001 (0.001) Loss 1.8363 (1.7949) Prec@1 54.688 (59.204) Prec@5 79.688 (81.007) Epoch: [41][3030/10010] Time 0.341 (0.327) Data 0.000 (0.001) Loss 1.7006 (1.7949) Prec@1 57.812 (59.198) Prec@5 81.250 (81.007) Epoch: [41][3040/10010] Time 0.336 (0.327) Data 0.000 (0.001) Loss 1.8288 (1.7949) Prec@1 60.156 (59.198) Prec@5 81.250 (81.006) Epoch: [41][3050/10010] Time 0.324 (0.327) Data 0.000 (0.001) Loss 1.7220 (1.7946) Prec@1 57.031 (59.203) Prec@5 82.812 (81.011) Epoch: [41][3060/10010] Time 0.338 (0.327) Data 0.001 (0.001) Loss 1.5957 (1.7945) Prec@1 60.156 (59.203) Prec@5 81.250 (81.010) Epoch: [41][3070/10010] Time 0.336 (0.327) Data 0.001 (0.001) Loss 1.8183 (1.7944) Prec@1 57.031 (59.205) Prec@5 82.031 (81.012) Epoch: [41][3080/10010] Time 0.320 (0.327) Data 0.000 (0.001) Loss 1.6978 (1.7946) Prec@1 58.594 (59.199) Prec@5 82.031 (81.010) Epoch: [41][3090/10010] Time 0.343 (0.327) Data 0.001 (0.001) Loss 1.8280 (1.7946) Prec@1 61.719 (59.196) Prec@5 84.375 (81.009) Epoch: [41][3100/10010] Time 0.312 (0.327) Data 0.001 (0.001) Loss 1.9508 (1.7948) Prec@1 60.938 (59.195) Prec@5 78.125 (81.003) Epoch: [41][3110/10010] Time 0.340 (0.327) Data 0.001 (0.001) Loss 2.1513 (1.7950) Prec@1 56.250 (59.192) Prec@5 76.562 (81.000) /data/vision/torralba/deepscene/lib/anaconda2/lib/python2.7/site-packages/PIL/TiffImagePlugin.py:692: UserWarning: Possibly corrupt EXIF data. Expecting to read 2555904 bytes but only got 0. Skipping tag 0 "Skipping tag %s" % (size, len(data), tag)) Epoch: [41][3120/10010] Time 0.340 (0.327) Data 0.000 (0.001) Loss 1.7632 (1.7953) Prec@1 62.500 (59.191) Prec@5 80.469 (80.994) Epoch: [41][3130/10010] Time 0.338 (0.327) Data 0.001 (0.001) Loss 1.9282 (1.7955) Prec@1 58.594 (59.187) Prec@5 75.781 (80.990) Epoch: [41][3140/10010] Time 0.339 (0.327) Data 0.001 (0.001) Loss 1.6655 (1.7957) Prec@1 60.938 (59.180) Prec@5 85.156 (80.989) Epoch: [41][3150/10010] Time 0.340 (0.327) Data 0.000 (0.001) Loss 1.9309 (1.7957) Prec@1 57.031 (59.182) Prec@5 84.375 (80.989) Epoch: [41][3160/10010] Time 0.315 (0.327) Data 0.001 (0.001) Loss 1.7864 (1.7957) Prec@1 51.562 (59.180) Prec@5 80.469 (80.989) Epoch: [41][3170/10010] Time 0.329 (0.327) Data 0.001 (0.001) Loss 1.6618 (1.7955) Prec@1 60.156 (59.179) Prec@5 85.156 (80.992) Epoch: [41][3180/10010] Time 0.318 (0.327) Data 0.001 (0.001) Loss 1.9903 (1.7956) Prec@1 57.031 (59.175) Prec@5 77.344 (80.990) Epoch: [41][3190/10010] Time 0.329 (0.327) Data 0.001 (0.001) Loss 1.7417 (1.7958) Prec@1 57.031 (59.174) Prec@5 82.031 (80.990) Epoch: [41][3200/10010] Time 0.340 (0.327) Data 0.001 (0.001) Loss 2.0059 (1.7963) Prec@1 54.688 (59.165) Prec@5 78.906 (80.983) Epoch: [41][3210/10010] Time 0.320 (0.327) Data 0.000 (0.001) Loss 1.6765 (1.7961) Prec@1 60.938 (59.169) Prec@5 84.375 (80.986) Epoch: [41][3220/10010] Time 0.337 (0.327) Data 0.001 (0.001) Loss 2.0700 (1.7962) Prec@1 52.344 (59.168) Prec@5 77.344 (80.984) Epoch: [41][3230/10010] Time 0.316 (0.327) Data 0.000 (0.001) Loss 1.5267 (1.7960) Prec@1 66.406 (59.168) Prec@5 84.375 (80.988) Epoch: [41][3240/10010] Time 0.325 (0.327) Data 0.001 (0.001) Loss 1.5857 (1.7960) Prec@1 59.375 (59.168) Prec@5 84.375 (80.987) Epoch: [41][3250/10010] Time 0.320 (0.327) Data 0.000 (0.001) Loss 1.9485 (1.7963) Prec@1 60.938 (59.161) Prec@5 78.125 (80.983) Epoch: [41][3260/10010] Time 0.315 (0.327) Data 0.000 (0.001) Loss 1.7468 (1.7963) Prec@1 57.031 (59.164) Prec@5 82.812 (80.980) Epoch: [41][3270/10010] Time 0.323 (0.327) Data 0.001 (0.001) Loss 2.0476 (1.7962) Prec@1 57.031 (59.164) Prec@5 74.219 (80.982) Epoch: [41][3280/10010] Time 0.318 (0.327) Data 0.000 (0.001) Loss 1.5615 (1.7964) Prec@1 62.500 (59.162) Prec@5 84.375 (80.980) Epoch: [41][3290/10010] Time 0.341 (0.327) Data 0.000 (0.001) Loss 1.7497 (1.7964) Prec@1 61.719 (59.162) Prec@5 79.688 (80.979) Epoch: [41][3300/10010] Time 0.330 (0.327) Data 0.001 (0.001) Loss 1.7901 (1.7962) Prec@1 57.812 (59.168) Prec@5 79.688 (80.984) Epoch: [41][3310/10010] Time 0.322 (0.327) Data 0.000 (0.001) Loss 1.5947 (1.7963) Prec@1 68.750 (59.173) Prec@5 82.031 (80.983) Epoch: [41][3320/10010] Time 0.329 (0.327) Data 0.001 (0.001) Loss 1.9901 (1.7966) Prec@1 54.688 (59.163) Prec@5 71.094 (80.975) Epoch: [41][3330/10010] Time 0.327 (0.327) Data 0.001 (0.001) Loss 1.6229 (1.7966) Prec@1 60.938 (59.164) Prec@5 82.812 (80.975) Epoch: [41][3340/10010] Time 0.318 (0.327) Data 0.001 (0.001) Loss 1.7080 (1.7965) Prec@1 57.031 (59.161) Prec@5 80.469 (80.977) Epoch: [41][3350/10010] Time 0.314 (0.327) Data 0.001 (0.001) Loss 1.7488 (1.7966) Prec@1 60.156 (59.164) Prec@5 81.250 (80.977) Epoch: [41][3360/10010] Time 0.342 (0.327) Data 0.001 (0.001) Loss 1.8311 (1.7963) Prec@1 61.719 (59.163) Prec@5 80.469 (80.982) Epoch: [41][3370/10010] Time 0.324 (0.327) Data 0.000 (0.001) Loss 1.7992 (1.7965) Prec@1 58.594 (59.154) Prec@5 82.812 (80.980) Epoch: [41][3380/10010] Time 0.314 (0.327) Data 0.001 (0.001) Loss 1.8393 (1.7965) Prec@1 59.375 (59.148) Prec@5 82.812 (80.984) Epoch: [41][3390/10010] Time 0.334 (0.327) Data 0.001 (0.001) Loss 1.6423 (1.7967) Prec@1 66.406 (59.147) Prec@5 84.375 (80.980) Epoch: [41][3400/10010] Time 0.338 (0.327) Data 0.001 (0.001) Loss 1.7357 (1.7967) Prec@1 60.938 (59.148) Prec@5 79.688 (80.984) Epoch: [41][3410/10010] Time 0.327 (0.327) Data 0.001 (0.001) Loss 1.6375 (1.7965) Prec@1 64.062 (59.146) Prec@5 85.156 (80.989) Epoch: [41][3420/10010] Time 0.318 (0.327) Data 0.000 (0.001) Loss 1.5882 (1.7964) Prec@1 66.406 (59.148) Prec@5 86.719 (80.991) Epoch: [41][3430/10010] Time 0.338 (0.327) Data 0.000 (0.001) Loss 2.2747 (1.7966) Prec@1 49.219 (59.145) Prec@5 70.312 (80.989) Epoch: [41][3440/10010] Time 0.312 (0.327) Data 0.001 (0.001) Loss 1.9024 (1.7968) Prec@1 58.594 (59.142) Prec@5 80.469 (80.982) Epoch: [41][3450/10010] Time 0.324 (0.327) Data 0.000 (0.001) Loss 1.8871 (1.7971) Prec@1 60.156 (59.135) Prec@5 80.469 (80.978) Epoch: [41][3460/10010] Time 0.339 (0.327) Data 0.001 (0.001) Loss 1.7356 (1.7968) Prec@1 63.281 (59.140) Prec@5 82.812 (80.983) Epoch: [41][3470/10010] Time 0.332 (0.327) Data 0.001 (0.001) Loss 1.8985 (1.7965) Prec@1 51.562 (59.143) Prec@5 80.469 (80.989) Epoch: [41][3480/10010] Time 0.322 (0.327) Data 0.001 (0.001) Loss 1.7253 (1.7966) Prec@1 60.938 (59.140) Prec@5 83.594 (80.989) Epoch: [41][3490/10010] Time 0.332 (0.327) Data 0.001 (0.001) Loss 1.7984 (1.7967) Prec@1 63.281 (59.138) Prec@5 78.125 (80.987) Epoch: [41][3500/10010] Time 0.330 (0.327) Data 0.001 (0.001) Loss 1.8590 (1.7966) Prec@1 57.031 (59.141) Prec@5 81.250 (80.988) Epoch: [41][3510/10010] Time 0.329 (0.327) Data 0.000 (0.001) Loss 1.7566 (1.7966) Prec@1 63.281 (59.144) Prec@5 79.688 (80.987) Epoch: [41][3520/10010] Time 0.326 (0.327) Data 0.000 (0.001) Loss 1.8993 (1.7966) Prec@1 59.375 (59.144) Prec@5 77.344 (80.988) Epoch: [41][3530/10010] Time 0.333 (0.327) Data 0.001 (0.001) Loss 1.6269 (1.7965) Prec@1 64.062 (59.144) Prec@5 82.031 (80.987) Epoch: [41][3540/10010] Time 0.326 (0.327) Data 0.000 (0.001) Loss 2.1140 (1.7966) Prec@1 56.250 (59.140) Prec@5 74.219 (80.985) Epoch: [41][3550/10010] Time 0.330 (0.327) Data 0.001 (0.001) Loss 1.8574 (1.7963) Prec@1 56.250 (59.147) Prec@5 80.469 (80.989) Epoch: [41][3560/10010] Time 0.329 (0.327) Data 0.001 (0.001) Loss 1.8470 (1.7962) Prec@1 60.156 (59.152) Prec@5 78.906 (80.990) Epoch: [41][3570/10010] Time 0.337 (0.327) Data 0.000 (0.001) Loss 1.9947 (1.7965) Prec@1 53.906 (59.149) Prec@5 75.781 (80.984) Epoch: [41][3580/10010] Time 0.320 (0.327) Data 0.001 (0.001) Loss 1.5458 (1.7966) Prec@1 63.281 (59.147) Prec@5 83.594 (80.981) Epoch: [41][3590/10010] Time 0.313 (0.327) Data 0.001 (0.001) Loss 1.9555 (1.7965) Prec@1 52.344 (59.149) Prec@5 78.125 (80.981) /data/vision/torralba/deepscene/lib/anaconda2/lib/python2.7/site-packages/PIL/TiffImagePlugin.py:692: UserWarning: Possibly corrupt EXIF data. Expecting to read 19660800 bytes but only got 0. Skipping tag 0 "Skipping tag %s" % (size, len(data), tag)) /data/vision/torralba/deepscene/lib/anaconda2/lib/python2.7/site-packages/PIL/TiffImagePlugin.py:692: UserWarning: Possibly corrupt EXIF data. Expecting to read 18481152 bytes but only got 0. Skipping tag 0 "Skipping tag %s" % (size, len(data), tag)) /data/vision/torralba/deepscene/lib/anaconda2/lib/python2.7/site-packages/PIL/TiffImagePlugin.py:692: UserWarning: Possibly corrupt EXIF data. Expecting to read 37093376 bytes but only got 0. Skipping tag 0 "Skipping tag %s" % (size, len(data), tag)) /data/vision/torralba/deepscene/lib/anaconda2/lib/python2.7/site-packages/PIL/TiffImagePlugin.py:692: UserWarning: Possibly corrupt EXIF data. Expecting to read 39976960 bytes but only got 0. Skipping tag 0 "Skipping tag %s" % (size, len(data), tag)) /data/vision/torralba/deepscene/lib/anaconda2/lib/python2.7/site-packages/PIL/TiffImagePlugin.py:692: UserWarning: Possibly corrupt EXIF data. Expecting to read 34865152 bytes but only got 0. Skipping tag 0 "Skipping tag %s" % (size, len(data), tag)) /data/vision/torralba/deepscene/lib/anaconda2/lib/python2.7/site-packages/PIL/TiffImagePlugin.py:709: UserWarning: Corrupt EXIF data. Expecting to read 12 bytes but only got 10. warnings.warn(str(msg)) Epoch: [41][3600/10010] Time 0.320 (0.327) Data 0.001 (0.001) Loss 2.0639 (1.7965) Prec@1 52.344 (59.145) Prec@5 78.125 (80.982) Epoch: [41][3610/10010] Time 0.341 (0.327) Data 0.000 (0.001) Loss 1.4380 (1.7967) Prec@1 64.844 (59.144) Prec@5 86.719 (80.979) Epoch: [41][3620/10010] Time 0.325 (0.327) Data 0.001 (0.001) Loss 1.8616 (1.7968) Prec@1 57.031 (59.141) Prec@5 81.250 (80.981) Epoch: [41][3630/10010] Time 0.335 (0.327) Data 0.000 (0.001) Loss 1.6598 (1.7966) Prec@1 64.844 (59.143) Prec@5 80.469 (80.984) Epoch: [41][3640/10010] Time 0.324 (0.327) Data 0.001 (0.001) Loss 1.6919 (1.7966) Prec@1 62.500 (59.146) Prec@5 85.938 (80.983) Epoch: [41][3650/10010] Time 0.320 (0.327) Data 0.001 (0.001) Loss 1.9607 (1.7963) Prec@1 54.688 (59.155) Prec@5 78.125 (80.988) Epoch: [41][3660/10010] Time 0.323 (0.327) Data 0.001 (0.001) Loss 1.5528 (1.7961) Prec@1 64.844 (59.160) Prec@5 82.812 (80.989) Epoch: [41][3670/10010] Time 0.323 (0.327) Data 0.001 (0.001) Loss 2.0245 (1.7961) Prec@1 53.906 (59.161) Prec@5 79.688 (80.988) Epoch: [41][3680/10010] Time 0.317 (0.327) Data 0.001 (0.001) Loss 1.6186 (1.7958) Prec@1 64.844 (59.165) Prec@5 85.938 (80.995) Epoch: [41][3690/10010] Time 0.312 (0.327) Data 0.001 (0.001) Loss 2.0082 (1.7956) Prec@1 57.031 (59.169) Prec@5 77.344 (80.998) Epoch: [41][3700/10010] Time 0.334 (0.327) Data 0.001 (0.001) Loss 1.9728 (1.7955) Prec@1 54.688 (59.167) Prec@5 78.125 (80.997) Epoch: [41][3710/10010] Time 0.316 (0.327) Data 0.001 (0.001) Loss 1.8074 (1.7954) Prec@1 59.375 (59.168) Prec@5 78.125 (80.998) Epoch: [41][3720/10010] Time 0.319 (0.327) Data 0.000 (0.001) Loss 1.7067 (1.7953) Prec@1 61.719 (59.170) Prec@5 78.125 (80.998) Epoch: [41][3730/10010] Time 0.318 (0.327) Data 0.001 (0.001) Loss 1.6739 (1.7954) Prec@1 59.375 (59.165) Prec@5 84.375 (80.996) Epoch: [41][3740/10010] Time 0.315 (0.327) Data 0.001 (0.001) Loss 1.6954 (1.7955) Prec@1 56.250 (59.163) Prec@5 82.812 (80.994) Epoch: [41][3750/10010] Time 0.321 (0.327) Data 0.001 (0.001) Loss 1.7039 (1.7956) Prec@1 55.469 (59.157) Prec@5 79.688 (80.989) Epoch: [41][3760/10010] Time 0.324 (0.327) Data 0.001 (0.001) Loss 1.7286 (1.7956) Prec@1 61.719 (59.154) Prec@5 81.250 (80.989) Epoch: [41][3770/10010] Time 0.315 (0.327) Data 0.000 (0.001) Loss 2.0788 (1.7957) Prec@1 55.469 (59.156) Prec@5 78.906 (80.990) Epoch: [41][3780/10010] Time 0.318 (0.327) Data 0.001 (0.001) Loss 1.6151 (1.7958) Prec@1 60.156 (59.152) Prec@5 84.375 (80.987) Epoch: [41][3790/10010] Time 0.336 (0.327) Data 0.001 (0.001) Loss 1.8269 (1.7960) Prec@1 58.594 (59.146) Prec@5 82.031 (80.986) Epoch: [41][3800/10010] Time 0.331 (0.327) Data 0.001 (0.001) Loss 1.5486 (1.7961) Prec@1 64.062 (59.146) Prec@5 83.594 (80.982) Epoch: [41][3810/10010] Time 0.314 (0.327) Data 0.000 (0.001) Loss 1.5897 (1.7961) Prec@1 62.500 (59.146) Prec@5 84.375 (80.982) Epoch: [41][3820/10010] Time 0.314 (0.327) Data 0.000 (0.001) Loss 1.7108 (1.7960) Prec@1 60.938 (59.148) Prec@5 82.812 (80.985) Epoch: [41][3830/10010] Time 0.325 (0.327) Data 0.000 (0.001) Loss 1.5973 (1.7962) Prec@1 61.719 (59.145) Prec@5 82.031 (80.981) Epoch: [41][3840/10010] Time 0.319 (0.327) Data 0.000 (0.001) Loss 1.8279 (1.7962) Prec@1 60.156 (59.145) Prec@5 79.688 (80.979) Epoch: [41][3850/10010] Time 0.326 (0.327) Data 0.000 (0.001) Loss 1.9402 (1.7964) Prec@1 62.500 (59.145) Prec@5 78.906 (80.976) Epoch: [41][3860/10010] Time 0.319 (0.327) Data 0.000 (0.001) Loss 1.9168 (1.7963) Prec@1 53.906 (59.145) Prec@5 82.031 (80.981) Epoch: [41][3870/10010] Time 0.323 (0.327) Data 0.001 (0.001) Loss 1.6958 (1.7962) Prec@1 60.156 (59.146) Prec@5 83.594 (80.981) Epoch: [41][3880/10010] Time 0.322 (0.327) Data 0.001 (0.001) Loss 1.5219 (1.7959) Prec@1 64.062 (59.150) Prec@5 85.156 (80.983) Epoch: [41][3890/10010] Time 0.326 (0.327) Data 0.001 (0.001) Loss 1.7846 (1.7960) Prec@1 55.469 (59.145) Prec@5 80.469 (80.986) Epoch: [41][3900/10010] Time 0.315 (0.327) Data 0.000 (0.001) Loss 2.1825 (1.7961) Prec@1 54.688 (59.142) Prec@5 78.125 (80.987) Epoch: [41][3910/10010] Time 0.339 (0.327) Data 0.001 (0.001) Loss 2.0890 (1.7961) Prec@1 49.219 (59.144) Prec@5 78.906 (80.986) Epoch: [41][3920/10010] Time 0.319 (0.327) Data 0.000 (0.001) Loss 1.7793 (1.7960) Prec@1 64.062 (59.149) Prec@5 82.812 (80.989) /data/vision/torralba/deepscene/lib/anaconda2/lib/python2.7/site-packages/PIL/TiffImagePlugin.py:692: UserWarning: Possibly corrupt EXIF data. Expecting to read 2555904 bytes but only got 0. Skipping tag 0 "Skipping tag %s" % (size, len(data), tag)) Epoch: [41][3930/10010] Time 0.331 (0.327) Data 0.001 (0.001) Loss 1.6515 (1.7961) Prec@1 60.938 (59.151) Prec@5 82.812 (80.988) Epoch: [41][3940/10010] Time 0.337 (0.327) Data 0.000 (0.001) Loss 1.9233 (1.7963) Prec@1 57.031 (59.148) Prec@5 78.906 (80.984) Epoch: [41][3950/10010] Time 0.325 (0.327) Data 0.000 (0.001) Loss 1.8019 (1.7963) Prec@1 58.594 (59.146) Prec@5 82.812 (80.983) Epoch: [41][3960/10010] Time 0.329 (0.327) Data 0.001 (0.001) Loss 1.7668 (1.7964) Prec@1 60.938 (59.145) Prec@5 77.344 (80.984) Epoch: [41][3970/10010] Time 0.335 (0.327) Data 0.001 (0.001) Loss 2.0510 (1.7966) Prec@1 52.344 (59.143) Prec@5 82.812 (80.985) Epoch: [41][3980/10010] Time 0.339 (0.327) Data 0.001 (0.001) Loss 1.7526 (1.7967) Prec@1 59.375 (59.146) Prec@5 84.375 (80.983) Epoch: [41][3990/10010] Time 0.319 (0.327) Data 0.000 (0.001) Loss 1.8323 (1.7968) Prec@1 58.594 (59.149) Prec@5 79.688 (80.982) Epoch: [41][4000/10010] Time 0.329 (0.327) Data 0.001 (0.001) Loss 1.8137 (1.7968) Prec@1 62.500 (59.147) Prec@5 80.469 (80.981) Epoch: [41][4010/10010] Time 0.318 (0.327) Data 0.000 (0.001) Loss 1.8026 (1.7968) Prec@1 57.812 (59.144) Prec@5 78.906 (80.979) Epoch: [41][4020/10010] Time 0.336 (0.327) Data 0.000 (0.001) Loss 2.0209 (1.7966) Prec@1 50.781 (59.144) Prec@5 77.344 (80.980) Epoch: [41][4030/10010] Time 0.333 (0.327) Data 0.001 (0.001) Loss 1.6803 (1.7967) Prec@1 64.844 (59.144) Prec@5 82.031 (80.979) Epoch: [41][4040/10010] Time 0.339 (0.327) Data 0.001 (0.001) Loss 1.8492 (1.7967) Prec@1 57.031 (59.143) Prec@5 80.469 (80.984) Epoch: [41][4050/10010] Time 0.332 (0.327) Data 0.001 (0.001) Loss 1.6150 (1.7965) Prec@1 64.062 (59.149) Prec@5 82.031 (80.986) Epoch: [41][4060/10010] Time 0.338 (0.327) Data 0.001 (0.001) Loss 1.7249 (1.7967) Prec@1 65.625 (59.151) Prec@5 82.031 (80.985) Epoch: [41][4070/10010] Time 0.335 (0.327) Data 0.000 (0.001) Loss 1.6715 (1.7967) Prec@1 57.812 (59.151) Prec@5 82.812 (80.985) Epoch: [41][4080/10010] Time 0.334 (0.327) Data 0.000 (0.001) Loss 1.4282 (1.7969) Prec@1 68.750 (59.153) Prec@5 87.500 (80.985) Epoch: [41][4090/10010] Time 0.341 (0.327) Data 0.001 (0.001) Loss 1.8507 (1.7969) Prec@1 57.812 (59.148) Prec@5 79.688 (80.983) Epoch: [41][4100/10010] Time 0.316 (0.327) Data 0.001 (0.001) Loss 1.5251 (1.7969) Prec@1 61.719 (59.153) Prec@5 84.375 (80.983) Epoch: [41][4110/10010] Time 0.318 (0.327) Data 0.001 (0.001) Loss 1.8355 (1.7970) Prec@1 58.594 (59.149) Prec@5 79.688 (80.980) Epoch: [41][4120/10010] Time 0.322 (0.327) Data 0.001 (0.001) Loss 1.7776 (1.7970) Prec@1 64.844 (59.154) Prec@5 77.344 (80.982) Epoch: [41][4130/10010] Time 0.334 (0.327) Data 0.001 (0.001) Loss 1.7112 (1.7972) Prec@1 63.281 (59.149) Prec@5 81.250 (80.980) Epoch: [41][4140/10010] Time 0.318 (0.327) Data 0.000 (0.001) Loss 1.8320 (1.7971) Prec@1 59.375 (59.152) Prec@5 82.031 (80.984) Epoch: [41][4150/10010] Time 0.324 (0.327) Data 0.000 (0.001) Loss 1.6066 (1.7970) Prec@1 57.812 (59.154) Prec@5 85.156 (80.983) Epoch: [41][4160/10010] Time 0.324 (0.327) Data 0.001 (0.001) Loss 1.5063 (1.7969) Prec@1 68.750 (59.155) Prec@5 85.156 (80.985) Epoch: [41][4170/10010] Time 0.322 (0.327) Data 0.001 (0.001) Loss 1.8286 (1.7971) Prec@1 49.219 (59.150) Prec@5 80.469 (80.983) Epoch: [41][4180/10010] Time 0.314 (0.327) Data 0.001 (0.001) Loss 2.0779 (1.7971) Prec@1 51.562 (59.151) Prec@5 77.344 (80.984) Epoch: [41][4190/10010] Time 0.313 (0.327) Data 0.001 (0.001) Loss 1.7820 (1.7970) Prec@1 60.938 (59.151) Prec@5 81.250 (80.983) Epoch: [41][4200/10010] Time 0.334 (0.327) Data 0.001 (0.001) Loss 1.8507 (1.7971) Prec@1 59.375 (59.148) Prec@5 82.031 (80.981) Epoch: [41][4210/10010] Time 0.329 (0.327) Data 0.001 (0.001) Loss 2.0747 (1.7971) Prec@1 52.344 (59.147) Prec@5 75.000 (80.980) Epoch: [41][4220/10010] Time 0.338 (0.327) Data 0.001 (0.001) Loss 1.9046 (1.7969) Prec@1 55.469 (59.149) Prec@5 79.688 (80.984) Epoch: [41][4230/10010] Time 0.337 (0.327) Data 0.001 (0.001) Loss 1.7863 (1.7970) Prec@1 57.812 (59.149) Prec@5 80.469 (80.982) Epoch: [41][4240/10010] Time 0.319 (0.327) Data 0.001 (0.001) Loss 1.8859 (1.7973) Prec@1 58.594 (59.148) Prec@5 77.344 (80.977) Epoch: [41][4250/10010] Time 0.325 (0.327) Data 0.001 (0.001) Loss 1.6667 (1.7972) Prec@1 65.625 (59.153) Prec@5 82.031 (80.978) Epoch: [41][4260/10010] Time 0.333 (0.327) Data 0.001 (0.001) Loss 1.7761 (1.7973) Prec@1 55.469 (59.149) Prec@5 79.688 (80.974) Epoch: [41][4270/10010] Time 0.318 (0.327) Data 0.001 (0.001) Loss 1.6918 (1.7973) Prec@1 64.062 (59.152) Prec@5 82.031 (80.974) Epoch: [41][4280/10010] Time 0.316 (0.327) Data 0.001 (0.001) Loss 1.7333 (1.7972) Prec@1 59.375 (59.154) Prec@5 82.812 (80.978) Epoch: [41][4290/10010] Time 0.321 (0.327) Data 0.001 (0.001) Loss 1.5033 (1.7972) Prec@1 60.156 (59.153) Prec@5 85.156 (80.978) Epoch: [41][4300/10010] Time 0.316 (0.327) Data 0.001 (0.001) Loss 1.8070 (1.7972) Prec@1 57.031 (59.154) Prec@5 84.375 (80.977) Epoch: [41][4310/10010] Time 0.333 (0.327) Data 0.000 (0.001) Loss 2.0803 (1.7972) Prec@1 51.562 (59.156) Prec@5 75.781 (80.976) Epoch: [41][4320/10010] Time 0.326 (0.327) Data 0.000 (0.001) Loss 1.8782 (1.7972) Prec@1 55.469 (59.155) Prec@5 80.469 (80.978) Epoch: [41][4330/10010] Time 0.332 (0.327) Data 0.001 (0.001) Loss 1.7154 (1.7971) Prec@1 58.594 (59.160) Prec@5 82.031 (80.979) Epoch: [41][4340/10010] Time 0.317 (0.327) Data 0.001 (0.001) Loss 1.6137 (1.7971) Prec@1 60.938 (59.157) Prec@5 83.594 (80.979) Epoch: [41][4350/10010] Time 0.322 (0.327) Data 0.001 (0.001) Loss 1.9295 (1.7973) Prec@1 56.250 (59.154) Prec@5 76.562 (80.975) Epoch: [41][4360/10010] Time 0.332 (0.327) Data 0.000 (0.001) Loss 2.0393 (1.7974) Prec@1 53.906 (59.154) Prec@5 76.562 (80.973) Epoch: [41][4370/10010] Time 0.315 (0.327) Data 0.000 (0.001) Loss 2.0425 (1.7975) Prec@1 51.562 (59.150) Prec@5 76.562 (80.974) Epoch: [41][4380/10010] Time 0.335 (0.327) Data 0.001 (0.001) Loss 2.1461 (1.7974) Prec@1 51.562 (59.149) Prec@5 78.125 (80.975) Epoch: [41][4390/10010] Time 0.313 (0.327) Data 0.000 (0.001) Loss 1.7496 (1.7975) Prec@1 63.281 (59.149) Prec@5 80.469 (80.971) Epoch: [41][4400/10010] Time 0.327 (0.327) Data 0.001 (0.001) Loss 1.4004 (1.7975) Prec@1 67.188 (59.149) Prec@5 89.062 (80.972) Epoch: [41][4410/10010] Time 0.318 (0.327) Data 0.001 (0.001) Loss 1.9907 (1.7976) Prec@1 55.469 (59.148) Prec@5 77.344 (80.972) Epoch: [41][4420/10010] Time 0.336 (0.327) Data 0.000 (0.001) Loss 1.7968 (1.7975) Prec@1 60.938 (59.148) Prec@5 78.906 (80.971) Epoch: [41][4430/10010] Time 0.330 (0.327) Data 0.001 (0.001) Loss 1.7665 (1.7975) Prec@1 60.938 (59.148) Prec@5 78.125 (80.972) Epoch: [41][4440/10010] Time 0.316 (0.327) Data 0.000 (0.001) Loss 1.8349 (1.7976) Prec@1 63.281 (59.147) Prec@5 78.906 (80.969) Epoch: [41][4450/10010] Time 0.335 (0.327) Data 0.001 (0.001) Loss 1.4054 (1.7977) Prec@1 67.188 (59.144) Prec@5 89.062 (80.970) Epoch: [41][4460/10010] Time 0.322 (0.327) Data 0.001 (0.001) Loss 1.5090 (1.7978) Prec@1 66.406 (59.142) Prec@5 84.375 (80.970) Epoch: [41][4470/10010] Time 0.335 (0.327) Data 0.001 (0.001) Loss 2.0539 (1.7980) Prec@1 53.125 (59.143) Prec@5 80.469 (80.967) Epoch: [41][4480/10010] Time 0.320 (0.327) Data 0.000 (0.001) Loss 2.1587 (1.7982) Prec@1 51.562 (59.135) Prec@5 74.219 (80.963) Epoch: [41][4490/10010] Time 0.323 (0.327) Data 0.001 (0.001) Loss 1.9405 (1.7981) Prec@1 54.688 (59.134) Prec@5 78.906 (80.963) Epoch: [41][4500/10010] Time 0.336 (0.327) Data 0.001 (0.001) Loss 1.9100 (1.7981) Prec@1 59.375 (59.135) Prec@5 78.906 (80.963) Epoch: [41][4510/10010] Time 0.341 (0.327) Data 0.000 (0.001) Loss 1.8003 (1.7980) Prec@1 60.156 (59.133) Prec@5 78.906 (80.963) Epoch: [41][4520/10010] Time 0.318 (0.327) Data 0.001 (0.001) Loss 1.8354 (1.7980) Prec@1 62.500 (59.134) Prec@5 75.781 (80.962) Epoch: [41][4530/10010] Time 0.319 (0.327) Data 0.000 (0.001) Loss 1.9079 (1.7981) Prec@1 57.812 (59.132) Prec@5 79.688 (80.961) Epoch: [41][4540/10010] Time 0.313 (0.327) Data 0.001 (0.001) Loss 1.7804 (1.7980) Prec@1 60.938 (59.136) Prec@5 77.344 (80.961) Epoch: [41][4550/10010] Time 0.319 (0.327) Data 0.001 (0.001) Loss 1.7628 (1.7980) Prec@1 63.281 (59.138) Prec@5 83.594 (80.960) Epoch: [41][4560/10010] Time 0.326 (0.327) Data 0.001 (0.001) Loss 1.8102 (1.7979) Prec@1 60.938 (59.139) Prec@5 81.250 (80.962) Epoch: [41][4570/10010] Time 0.339 (0.327) Data 0.001 (0.001) Loss 1.9114 (1.7981) Prec@1 58.594 (59.138) Prec@5 76.562 (80.959) Epoch: [41][4580/10010] Time 0.316 (0.327) Data 0.001 (0.001) Loss 1.8235 (1.7981) Prec@1 61.719 (59.142) Prec@5 75.000 (80.959) Epoch: [41][4590/10010] Time 0.339 (0.327) Data 0.001 (0.001) Loss 1.7243 (1.7980) Prec@1 60.938 (59.146) Prec@5 81.250 (80.959) Epoch: [41][4600/10010] Time 0.332 (0.327) Data 0.001 (0.001) Loss 1.6813 (1.7978) Prec@1 60.156 (59.149) Prec@5 84.375 (80.962) Epoch: [41][4610/10010] Time 0.337 (0.327) Data 0.001 (0.001) Loss 1.7836 (1.7977) Prec@1 60.938 (59.157) Prec@5 82.031 (80.963) Epoch: [41][4620/10010] Time 0.339 (0.327) Data 0.001 (0.001) Loss 1.8242 (1.7978) Prec@1 57.812 (59.158) Prec@5 81.250 (80.959) Epoch: [41][4630/10010] Time 0.311 (0.327) Data 0.001 (0.001) Loss 1.6079 (1.7977) Prec@1 60.938 (59.160) Prec@5 86.719 (80.963) Epoch: [41][4640/10010] Time 0.336 (0.327) Data 0.001 (0.001) Loss 1.9648 (1.7980) Prec@1 53.906 (59.154) Prec@5 77.344 (80.958) Epoch: [41][4650/10010] Time 0.340 (0.327) Data 0.001 (0.001) Loss 2.3149 (1.7981) Prec@1 50.781 (59.155) Prec@5 73.438 (80.954) Epoch: [41][4660/10010] Time 0.337 (0.327) Data 0.001 (0.001) Loss 1.9145 (1.7981) Prec@1 56.250 (59.154) Prec@5 79.688 (80.955) Epoch: [41][4670/10010] Time 0.310 (0.327) Data 0.000 (0.001) Loss 1.9404 (1.7982) Prec@1 60.156 (59.156) Prec@5 77.344 (80.953) Epoch: [41][4680/10010] Time 0.322 (0.327) Data 0.001 (0.001) Loss 1.7579 (1.7983) Prec@1 55.469 (59.150) Prec@5 83.594 (80.952) Epoch: [41][4690/10010] Time 0.336 (0.327) Data 0.001 (0.001) Loss 1.4350 (1.7981) Prec@1 70.312 (59.154) Prec@5 85.156 (80.954) Epoch: [41][4700/10010] Time 0.313 (0.327) Data 0.001 (0.001) Loss 2.0164 (1.7982) Prec@1 53.906 (59.153) Prec@5 78.906 (80.952) Epoch: [41][4710/10010] Time 0.322 (0.327) Data 0.001 (0.001) Loss 1.7658 (1.7980) Prec@1 56.250 (59.157) Prec@5 81.250 (80.955) Epoch: [41][4720/10010] Time 0.336 (0.327) Data 0.001 (0.001) Loss 1.7927 (1.7981) Prec@1 57.031 (59.152) Prec@5 79.688 (80.955) Epoch: [41][4730/10010] Time 0.327 (0.327) Data 0.001 (0.001) Loss 2.0508 (1.7982) Prec@1 50.000 (59.147) Prec@5 80.469 (80.954) Epoch: [41][4740/10010] Time 0.334 (0.327) Data 0.001 (0.001) Loss 1.4663 (1.7981) Prec@1 68.750 (59.150) Prec@5 85.938 (80.954) Epoch: [41][4750/10010] Time 0.335 (0.327) Data 0.001 (0.001) Loss 1.6723 (1.7981) Prec@1 62.500 (59.149) Prec@5 78.125 (80.951) Epoch: [41][4760/10010] Time 0.321 (0.327) Data 0.001 (0.001) Loss 1.6219 (1.7982) Prec@1 58.594 (59.148) Prec@5 86.719 (80.949) Epoch: [41][4770/10010] Time 0.328 (0.327) Data 0.001 (0.001) Loss 1.7105 (1.7982) Prec@1 58.594 (59.148) Prec@5 82.812 (80.947) Epoch: [41][4780/10010] Time 0.335 (0.327) Data 0.001 (0.001) Loss 1.9209 (1.7986) Prec@1 55.469 (59.144) Prec@5 79.688 (80.943) Epoch: [41][4790/10010] Time 0.336 (0.327) Data 0.000 (0.001) Loss 1.8238 (1.7987) Prec@1 60.156 (59.143) Prec@5 81.250 (80.940) Epoch: [41][4800/10010] Time 0.318 (0.327) Data 0.001 (0.001) Loss 1.9000 (1.7987) Prec@1 57.031 (59.145) Prec@5 80.469 (80.939) Epoch: [41][4810/10010] Time 0.331 (0.327) Data 0.001 (0.001) Loss 1.8382 (1.7988) Prec@1 61.719 (59.143) Prec@5 79.688 (80.936) Epoch: [41][4820/10010] Time 0.335 (0.327) Data 0.001 (0.001) Loss 1.5355 (1.7988) Prec@1 60.938 (59.139) Prec@5 82.812 (80.935) Epoch: [41][4830/10010] Time 0.337 (0.327) Data 0.001 (0.001) Loss 2.0226 (1.7990) Prec@1 54.688 (59.135) Prec@5 75.000 (80.929) Epoch: [41][4840/10010] Time 0.329 (0.327) Data 0.001 (0.001) Loss 1.7519 (1.7989) Prec@1 59.375 (59.133) Prec@5 82.031 (80.928) Epoch: [41][4850/10010] Time 0.330 (0.327) Data 0.001 (0.001) Loss 2.0024 (1.7990) Prec@1 52.344 (59.128) Prec@5 80.469 (80.927) Epoch: [41][4860/10010] Time 0.319 (0.327) Data 0.001 (0.001) Loss 1.8012 (1.7992) Prec@1 58.594 (59.124) Prec@5 77.344 (80.921) Epoch: [41][4870/10010] Time 0.326 (0.327) Data 0.001 (0.001) Loss 1.5293 (1.7992) Prec@1 66.406 (59.128) Prec@5 86.719 (80.920) Epoch: [41][4880/10010] Time 0.329 (0.327) Data 0.001 (0.001) Loss 1.7184 (1.7992) Prec@1 60.156 (59.129) Prec@5 78.906 (80.920) Epoch: [41][4890/10010] Time 0.332 (0.327) Data 0.000 (0.001) Loss 1.8995 (1.7991) Prec@1 57.031 (59.131) Prec@5 79.688 (80.921) Epoch: [41][4900/10010] Time 0.334 (0.327) Data 0.001 (0.001) Loss 1.6991 (1.7992) Prec@1 58.594 (59.128) Prec@5 81.250 (80.921) Epoch: [41][4910/10010] Time 0.313 (0.327) Data 0.000 (0.001) Loss 1.7476 (1.7992) Prec@1 55.469 (59.130) Prec@5 81.250 (80.920) Epoch: [41][4920/10010] Time 0.342 (0.327) Data 0.000 (0.001) Loss 1.9444 (1.7993) Prec@1 57.812 (59.127) Prec@5 77.344 (80.914) Epoch: [41][4930/10010] Time 0.326 (0.327) Data 0.001 (0.001) Loss 2.3066 (1.7996) Prec@1 53.906 (59.122) Prec@5 70.312 (80.910) Epoch: [41][4940/10010] Time 0.336 (0.327) Data 0.000 (0.001) Loss 1.6037 (1.7997) Prec@1 60.156 (59.119) Prec@5 83.594 (80.911) Epoch: [41][4950/10010] Time 0.331 (0.327) Data 0.001 (0.001) Loss 1.8051 (1.7996) Prec@1 59.375 (59.121) Prec@5 81.250 (80.911) Epoch: [41][4960/10010] Time 0.333 (0.327) Data 0.001 (0.001) Loss 2.2007 (1.7998) Prec@1 48.438 (59.119) Prec@5 75.000 (80.909) Epoch: [41][4970/10010] Time 0.334 (0.327) Data 0.000 (0.001) Loss 2.1773 (1.8000) Prec@1 52.344 (59.114) Prec@5 75.000 (80.903) Epoch: [41][4980/10010] Time 0.321 (0.327) Data 0.001 (0.001) Loss 2.1126 (1.8003) Prec@1 53.125 (59.108) Prec@5 77.344 (80.902) Epoch: [41][4990/10010] Time 0.316 (0.327) Data 0.001 (0.001) Loss 2.0735 (1.8004) Prec@1 55.469 (59.107) Prec@5 77.344 (80.901) Epoch: [41][5000/10010] Time 0.323 (0.327) Data 0.000 (0.001) Loss 1.8081 (1.8004) Prec@1 55.469 (59.108) Prec@5 82.812 (80.900) Epoch: [41][5010/10010] Time 0.325 (0.327) Data 0.001 (0.001) Loss 2.4878 (1.8005) Prec@1 51.562 (59.106) Prec@5 71.094 (80.899) Epoch: [41][5020/10010] Time 0.321 (0.327) Data 0.000 (0.001) Loss 1.9370 (1.8004) Prec@1 54.688 (59.108) Prec@5 78.906 (80.901) Epoch: [41][5030/10010] Time 0.327 (0.327) Data 0.000 (0.001) Loss 1.8756 (1.8007) Prec@1 58.594 (59.107) Prec@5 80.469 (80.897) Epoch: [41][5040/10010] Time 0.317 (0.327) Data 0.001 (0.001) Loss 1.8240 (1.8006) Prec@1 58.594 (59.106) Prec@5 81.250 (80.897) Epoch: [41][5050/10010] Time 0.330 (0.327) Data 0.001 (0.001) Loss 1.5511 (1.8005) Prec@1 62.500 (59.108) Prec@5 85.938 (80.901) Epoch: [41][5060/10010] Time 0.324 (0.327) Data 0.001 (0.001) Loss 2.0815 (1.8008) Prec@1 54.688 (59.103) Prec@5 76.562 (80.896) Epoch: [41][5070/10010] Time 0.323 (0.327) Data 0.001 (0.001) Loss 1.8053 (1.8009) Prec@1 67.188 (59.101) Prec@5 77.344 (80.895) Epoch: [41][5080/10010] Time 0.326 (0.327) Data 0.000 (0.001) Loss 2.2814 (1.8009) Prec@1 49.219 (59.101) Prec@5 72.656 (80.895) Epoch: [41][5090/10010] Time 0.332 (0.327) Data 0.001 (0.001) Loss 1.9821 (1.8009) Prec@1 50.781 (59.099) Prec@5 75.781 (80.895) Epoch: [41][5100/10010] Time 0.336 (0.327) Data 0.000 (0.001) Loss 1.9347 (1.8009) Prec@1 57.031 (59.096) Prec@5 81.250 (80.895) Epoch: [41][5110/10010] Time 0.333 (0.327) Data 0.000 (0.001) Loss 1.9033 (1.8010) Prec@1 57.812 (59.097) Prec@5 78.906 (80.891) Epoch: [41][5120/10010] Time 0.331 (0.327) Data 0.001 (0.001) Loss 1.9123 (1.8011) Prec@1 58.594 (59.096) Prec@5 80.469 (80.891) Epoch: [41][5130/10010] Time 0.320 (0.327) Data 0.001 (0.001) Loss 1.4781 (1.8011) Prec@1 64.062 (59.094) Prec@5 88.281 (80.892) Epoch: [41][5140/10010] Time 0.332 (0.327) Data 0.001 (0.001) Loss 1.7866 (1.8011) Prec@1 54.688 (59.093) Prec@5 82.812 (80.892) Epoch: [41][5150/10010] Time 0.318 (0.327) Data 0.001 (0.001) Loss 1.6438 (1.8011) Prec@1 62.500 (59.092) Prec@5 83.594 (80.892) Epoch: [41][5160/10010] Time 0.329 (0.327) Data 0.000 (0.001) Loss 1.6073 (1.8011) Prec@1 67.188 (59.091) Prec@5 82.812 (80.892) Epoch: [41][5170/10010] Time 0.316 (0.327) Data 0.001 (0.001) Loss 1.7363 (1.8011) Prec@1 57.031 (59.093) Prec@5 80.469 (80.895) Epoch: [41][5180/10010] Time 0.336 (0.327) Data 0.000 (0.001) Loss 1.5396 (1.8009) Prec@1 60.156 (59.098) Prec@5 83.594 (80.898) Epoch: [41][5190/10010] Time 0.319 (0.327) Data 0.001 (0.001) Loss 1.4899 (1.8009) Prec@1 67.188 (59.096) Prec@5 85.938 (80.896) Epoch: [41][5200/10010] Time 0.329 (0.327) Data 0.001 (0.001) Loss 1.5298 (1.8008) Prec@1 64.844 (59.099) Prec@5 82.812 (80.898) Epoch: [41][5210/10010] Time 0.338 (0.327) Data 0.001 (0.001) Loss 2.0085 (1.8009) Prec@1 52.344 (59.097) Prec@5 78.906 (80.896) Epoch: [41][5220/10010] Time 0.326 (0.327) Data 0.001 (0.001) Loss 1.7979 (1.8007) Prec@1 59.375 (59.098) Prec@5 82.031 (80.897) Epoch: [41][5230/10010] Time 0.315 (0.327) Data 0.001 (0.001) Loss 1.9488 (1.8011) Prec@1 57.031 (59.090) Prec@5 76.562 (80.893) Epoch: [41][5240/10010] Time 0.326 (0.327) Data 0.000 (0.001) Loss 1.6762 (1.8011) Prec@1 64.062 (59.088) Prec@5 77.344 (80.895) Epoch: [41][5250/10010] Time 0.330 (0.327) Data 0.001 (0.001) Loss 1.5729 (1.8011) Prec@1 64.844 (59.088) Prec@5 84.375 (80.895) Epoch: [41][5260/10010] Time 0.337 (0.327) Data 0.000 (0.001) Loss 1.6809 (1.8011) Prec@1 60.156 (59.087) Prec@5 80.469 (80.894) Epoch: [41][5270/10010] Time 0.335 (0.327) Data 0.001 (0.001) Loss 1.6092 (1.8012) Prec@1 58.594 (59.083) Prec@5 82.812 (80.890) Epoch: [41][5280/10010] Time 0.339 (0.327) Data 0.001 (0.001) Loss 1.8706 (1.8009) Prec@1 59.375 (59.090) Prec@5 79.688 (80.892) Epoch: [41][5290/10010] Time 0.319 (0.327) Data 0.001 (0.001) Loss 2.1061 (1.8011) Prec@1 53.125 (59.086) Prec@5 76.562 (80.888) Epoch: [41][5300/10010] Time 0.332 (0.327) Data 0.001 (0.001) Loss 1.9857 (1.8011) Prec@1 54.688 (59.084) Prec@5 78.906 (80.886) Epoch: [41][5310/10010] Time 0.321 (0.327) Data 0.000 (0.001) Loss 1.6132 (1.8013) Prec@1 60.156 (59.080) Prec@5 82.031 (80.881) Epoch: [41][5320/10010] Time 0.330 (0.327) Data 0.000 (0.001) Loss 1.6539 (1.8012) Prec@1 61.719 (59.081) Prec@5 82.812 (80.880) Epoch: [41][5330/10010] Time 0.334 (0.327) Data 0.001 (0.001) Loss 2.1078 (1.8013) Prec@1 57.031 (59.080) Prec@5 75.781 (80.878) Epoch: [41][5340/10010] Time 0.319 (0.327) Data 0.001 (0.001) Loss 1.6908 (1.8014) Prec@1 60.938 (59.079) Prec@5 81.250 (80.878) Epoch: [41][5350/10010] Time 0.323 (0.327) Data 0.000 (0.001) Loss 1.6300 (1.8014) Prec@1 64.844 (59.079) Prec@5 81.250 (80.879) Epoch: [41][5360/10010] Time 0.320 (0.327) Data 0.001 (0.001) Loss 2.0012 (1.8015) Prec@1 53.906 (59.080) Prec@5 75.000 (80.876) Epoch: [41][5370/10010] Time 0.327 (0.327) Data 0.001 (0.001) Loss 2.1022 (1.8015) Prec@1 54.688 (59.079) Prec@5 75.781 (80.876) Epoch: [41][5380/10010] Time 0.317 (0.327) Data 0.001 (0.001) Loss 1.8918 (1.8018) Prec@1 56.250 (59.075) Prec@5 82.031 (80.873) Epoch: [41][5390/10010] Time 0.317 (0.327) Data 0.000 (0.001) Loss 1.7618 (1.8018) Prec@1 60.938 (59.076) Prec@5 82.031 (80.873) Epoch: [41][5400/10010] Time 0.332 (0.327) Data 0.000 (0.001) Loss 1.7668 (1.8019) Prec@1 60.156 (59.074) Prec@5 79.688 (80.870) Epoch: [41][5410/10010] Time 0.337 (0.327) Data 0.001 (0.001) Loss 1.5367 (1.8019) Prec@1 58.594 (59.075) Prec@5 85.938 (80.870) Epoch: [41][5420/10010] Time 0.322 (0.327) Data 0.001 (0.001) Loss 1.9387 (1.8020) Prec@1 57.031 (59.074) Prec@5 79.688 (80.868) Epoch: [41][5430/10010] Time 0.339 (0.327) Data 0.001 (0.001) Loss 1.7474 (1.8021) Prec@1 64.844 (59.074) Prec@5 78.125 (80.865) Epoch: [41][5440/10010] Time 0.326 (0.327) Data 0.001 (0.001) Loss 1.9020 (1.8021) Prec@1 55.469 (59.070) Prec@5 77.344 (80.865) Epoch: [41][5450/10010] Time 0.342 (0.327) Data 0.001 (0.001) Loss 1.7116 (1.8023) Prec@1 59.375 (59.066) Prec@5 80.469 (80.862) Epoch: [41][5460/10010] Time 0.321 (0.327) Data 0.001 (0.001) Loss 1.9406 (1.8023) Prec@1 53.125 (59.065) Prec@5 79.688 (80.863) Epoch: [41][5470/10010] Time 0.327 (0.327) Data 0.001 (0.001) Loss 1.7896 (1.8026) Prec@1 61.719 (59.062) Prec@5 80.469 (80.859) Epoch: [41][5480/10010] Time 0.336 (0.327) Data 0.000 (0.001) Loss 1.9071 (1.8028) Prec@1 57.031 (59.059) Prec@5 78.906 (80.856) Epoch: [41][5490/10010] Time 0.332 (0.327) Data 0.001 (0.001) Loss 1.7913 (1.8025) Prec@1 56.250 (59.065) Prec@5 81.250 (80.860) Epoch: [41][5500/10010] Time 0.316 (0.327) Data 0.000 (0.001) Loss 1.6570 (1.8025) Prec@1 60.938 (59.063) Prec@5 81.250 (80.860) Epoch: [41][5510/10010] Time 0.337 (0.327) Data 0.001 (0.001) Loss 2.0493 (1.8026) Prec@1 53.906 (59.059) Prec@5 78.906 (80.859) Epoch: [41][5520/10010] Time 0.324 (0.327) Data 0.001 (0.001) Loss 1.8083 (1.8025) Prec@1 61.719 (59.066) Prec@5 86.719 (80.860) Epoch: [41][5530/10010] Time 0.340 (0.327) Data 0.001 (0.001) Loss 2.0356 (1.8024) Prec@1 54.688 (59.072) Prec@5 75.781 (80.862) Epoch: [41][5540/10010] Time 0.338 (0.327) Data 0.001 (0.001) Loss 1.8435 (1.8023) Prec@1 64.844 (59.075) Prec@5 80.469 (80.863) Epoch: [41][5550/10010] Time 0.339 (0.327) Data 0.001 (0.001) Loss 1.8906 (1.8026) Prec@1 57.812 (59.072) Prec@5 76.562 (80.856) Epoch: [41][5560/10010] Time 0.339 (0.327) Data 0.001 (0.001) Loss 1.6901 (1.8024) Prec@1 64.844 (59.077) Prec@5 84.375 (80.861) Epoch: [41][5570/10010] Time 0.313 (0.327) Data 0.001 (0.001) Loss 1.6468 (1.8025) Prec@1 66.406 (59.075) Prec@5 82.031 (80.858) Epoch: [41][5580/10010] Time 0.339 (0.327) Data 0.001 (0.001) Loss 1.7136 (1.8025) Prec@1 61.719 (59.072) Prec@5 85.938 (80.859) Epoch: [41][5590/10010] Time 0.313 (0.327) Data 0.001 (0.001) Loss 2.0008 (1.8026) Prec@1 55.469 (59.068) Prec@5 77.344 (80.858) Epoch: [41][5600/10010] Time 0.340 (0.327) Data 0.001 (0.001) Loss 1.9359 (1.8025) Prec@1 56.250 (59.070) Prec@5 78.125 (80.860) Epoch: [41][5610/10010] Time 0.311 (0.327) Data 0.001 (0.001) Loss 2.1612 (1.8027) Prec@1 52.344 (59.070) Prec@5 73.438 (80.857) Epoch: [41][5620/10010] Time 0.343 (0.327) Data 0.001 (0.001) Loss 2.0265 (1.8028) Prec@1 53.906 (59.070) Prec@5 74.219 (80.856) Epoch: [41][5630/10010] Time 0.333 (0.327) Data 0.001 (0.001) Loss 1.8472 (1.8028) Prec@1 57.031 (59.069) Prec@5 80.469 (80.856) Epoch: [41][5640/10010] Time 0.317 (0.327) Data 0.001 (0.001) Loss 1.9125 (1.8029) Prec@1 57.812 (59.066) Prec@5 75.781 (80.855) Epoch: [41][5650/10010] Time 0.336 (0.327) Data 0.001 (0.001) Loss 1.9917 (1.8029) Prec@1 56.250 (59.065) Prec@5 78.125 (80.854) Epoch: [41][5660/10010] Time 0.336 (0.327) Data 0.001 (0.001) Loss 1.7616 (1.8029) Prec@1 55.469 (59.063) Prec@5 81.250 (80.855) Epoch: [41][5670/10010] Time 0.309 (0.327) Data 0.000 (0.001) Loss 2.1008 (1.8031) Prec@1 53.906 (59.057) Prec@5 79.688 (80.854) Epoch: [41][5680/10010] Time 0.335 (0.327) Data 0.001 (0.001) Loss 1.7580 (1.8033) Prec@1 60.156 (59.053) Prec@5 82.031 (80.851) Epoch: [41][5690/10010] Time 0.335 (0.327) Data 0.001 (0.001) Loss 1.6638 (1.8033) Prec@1 60.938 (59.055) Prec@5 82.031 (80.852) Epoch: [41][5700/10010] Time 0.330 (0.327) Data 0.000 (0.001) Loss 1.7827 (1.8032) Prec@1 60.156 (59.059) Prec@5 81.250 (80.854) Epoch: [41][5710/10010] Time 0.320 (0.327) Data 0.000 (0.001) Loss 1.9989 (1.8035) Prec@1 54.688 (59.056) Prec@5 73.438 (80.849) Epoch: [41][5720/10010] Time 0.331 (0.327) Data 0.001 (0.001) Loss 1.6454 (1.8035) Prec@1 60.156 (59.056) Prec@5 81.250 (80.849) Epoch: [41][5730/10010] Time 0.334 (0.327) Data 0.001 (0.001) Loss 1.7584 (1.8035) Prec@1 61.719 (59.057) Prec@5 84.375 (80.847) Epoch: [41][5740/10010] Time 0.325 (0.327) Data 0.001 (0.001) Loss 2.0072 (1.8035) Prec@1 56.250 (59.057) Prec@5 80.469 (80.848) Epoch: [41][5750/10010] Time 0.333 (0.327) Data 0.001 (0.001) Loss 1.8384 (1.8035) Prec@1 54.688 (59.061) Prec@5 81.250 (80.847) Epoch: [41][5760/10010] Time 0.340 (0.327) Data 0.001 (0.001) Loss 1.3527 (1.8034) Prec@1 71.094 (59.061) Prec@5 88.281 (80.848) Epoch: [41][5770/10010] Time 0.338 (0.327) Data 0.001 (0.001) Loss 1.7970 (1.8035) Prec@1 57.812 (59.059) Prec@5 79.688 (80.848) Epoch: [41][5780/10010] Time 0.325 (0.327) Data 0.000 (0.001) Loss 1.6254 (1.8035) Prec@1 62.500 (59.060) Prec@5 82.031 (80.849) Epoch: [41][5790/10010] Time 0.321 (0.327) Data 0.001 (0.001) Loss 1.7001 (1.8035) Prec@1 59.375 (59.061) Prec@5 81.250 (80.850) Epoch: [41][5800/10010] Time 0.333 (0.327) Data 0.000 (0.001) Loss 1.4611 (1.8036) Prec@1 60.156 (59.056) Prec@5 88.281 (80.847) Epoch: [41][5810/10010] Time 0.330 (0.327) Data 0.000 (0.001) Loss 1.5683 (1.8035) Prec@1 63.281 (59.059) Prec@5 85.156 (80.848) Epoch: [41][5820/10010] Time 0.313 (0.327) Data 0.001 (0.001) Loss 1.9402 (1.8036) Prec@1 51.562 (59.058) Prec@5 81.250 (80.846) Epoch: [41][5830/10010] Time 0.325 (0.327) Data 0.001 (0.001) Loss 1.6749 (1.8036) Prec@1 63.281 (59.057) Prec@5 82.812 (80.844) Epoch: [41][5840/10010] Time 0.324 (0.327) Data 0.001 (0.001) Loss 2.0230 (1.8038) Prec@1 52.344 (59.052) Prec@5 79.688 (80.841) Epoch: [41][5850/10010] Time 0.343 (0.327) Data 0.001 (0.001) Loss 2.0649 (1.8040) Prec@1 53.125 (59.049) Prec@5 77.344 (80.838) Epoch: [41][5860/10010] Time 0.311 (0.327) Data 0.001 (0.001) Loss 1.8744 (1.8041) Prec@1 53.906 (59.044) Prec@5 78.125 (80.836) Epoch: [41][5870/10010] Time 0.322 (0.327) Data 0.000 (0.001) Loss 2.1220 (1.8041) Prec@1 46.094 (59.042) Prec@5 77.344 (80.836) Epoch: [41][5880/10010] Time 0.323 (0.327) Data 0.001 (0.001) Loss 2.0309 (1.8043) Prec@1 57.031 (59.040) Prec@5 76.562 (80.834) Epoch: [41][5890/10010] Time 0.339 (0.327) Data 0.001 (0.001) Loss 1.6703 (1.8044) Prec@1 56.250 (59.036) Prec@5 82.031 (80.833) Epoch: [41][5900/10010] Time 0.332 (0.327) Data 0.000 (0.001) Loss 1.6453 (1.8044) Prec@1 60.156 (59.036) Prec@5 83.594 (80.834) Epoch: [41][5910/10010] Time 0.343 (0.327) Data 0.000 (0.001) Loss 2.0810 (1.8045) Prec@1 56.250 (59.035) Prec@5 79.688 (80.834) Epoch: [41][5920/10010] Time 0.335 (0.327) Data 0.001 (0.001) Loss 1.8057 (1.8045) Prec@1 55.469 (59.033) Prec@5 84.375 (80.834) Epoch: [41][5930/10010] Time 0.336 (0.327) Data 0.000 (0.001) Loss 1.4996 (1.8045) Prec@1 66.406 (59.035) Prec@5 84.375 (80.836) Epoch: [41][5940/10010] Time 0.331 (0.327) Data 0.000 (0.001) Loss 1.9820 (1.8045) Prec@1 57.031 (59.034) Prec@5 77.344 (80.837) Epoch: [41][5950/10010] Time 0.330 (0.327) Data 0.001 (0.001) Loss 1.8946 (1.8043) Prec@1 58.594 (59.037) Prec@5 79.688 (80.841) Epoch: [41][5960/10010] Time 0.319 (0.327) Data 0.001 (0.001) Loss 1.9354 (1.8043) Prec@1 57.812 (59.038) Prec@5 76.562 (80.839) Epoch: [41][5970/10010] Time 0.339 (0.327) Data 0.000 (0.001) Loss 1.7556 (1.8041) Prec@1 58.594 (59.039) Prec@5 78.125 (80.842) Epoch: [41][5980/10010] Time 0.320 (0.327) Data 0.000 (0.001) Loss 1.7587 (1.8042) Prec@1 58.594 (59.038) Prec@5 84.375 (80.840) Epoch: [41][5990/10010] Time 0.335 (0.327) Data 0.000 (0.001) Loss 1.7022 (1.8043) Prec@1 64.062 (59.039) Prec@5 82.031 (80.837) Epoch: [41][6000/10010] Time 0.333 (0.327) Data 0.001 (0.001) Loss 1.8783 (1.8042) Prec@1 57.812 (59.042) Prec@5 75.000 (80.837) Epoch: [41][6010/10010] Time 0.334 (0.327) Data 0.001 (0.001) Loss 1.9813 (1.8042) Prec@1 55.469 (59.042) Prec@5 78.125 (80.835) Epoch: [41][6020/10010] Time 0.322 (0.327) Data 0.001 (0.001) Loss 1.5091 (1.8042) Prec@1 65.625 (59.043) Prec@5 83.594 (80.836) Epoch: [41][6030/10010] Time 0.323 (0.327) Data 0.001 (0.001) Loss 2.0091 (1.8041) Prec@1 55.469 (59.040) Prec@5 76.562 (80.835) Epoch: [41][6040/10010] Time 0.334 (0.327) Data 0.001 (0.001) Loss 1.8735 (1.8041) Prec@1 60.938 (59.040) Prec@5 77.344 (80.834) Epoch: [41][6050/10010] Time 0.338 (0.327) Data 0.001 (0.001) Loss 1.6311 (1.8042) Prec@1 60.938 (59.039) Prec@5 86.719 (80.833) Epoch: [41][6060/10010] Time 0.323 (0.327) Data 0.000 (0.001) Loss 1.7416 (1.8042) Prec@1 60.156 (59.038) Prec@5 82.031 (80.834) Epoch: [41][6070/10010] Time 0.340 (0.327) Data 0.001 (0.001) Loss 1.6247 (1.8043) Prec@1 61.719 (59.035) Prec@5 82.031 (80.832) Epoch: [41][6080/10010] Time 0.323 (0.327) Data 0.001 (0.001) Loss 1.7956 (1.8044) Prec@1 62.500 (59.034) Prec@5 80.469 (80.831) Epoch: [41][6090/10010] Time 0.333 (0.327) Data 0.001 (0.001) Loss 1.5910 (1.8044) Prec@1 64.844 (59.033) Prec@5 85.938 (80.831) Epoch: [41][6100/10010] Time 0.335 (0.327) Data 0.001 (0.001) Loss 1.8708 (1.8045) Prec@1 55.469 (59.032) Prec@5 81.250 (80.830) Epoch: [41][6110/10010] Time 0.320 (0.327) Data 0.001 (0.001) Loss 2.0562 (1.8046) Prec@1 56.250 (59.030) Prec@5 76.562 (80.825) Epoch: [41][6120/10010] Time 0.337 (0.327) Data 0.001 (0.001) Loss 1.9534 (1.8046) Prec@1 58.594 (59.032) Prec@5 79.688 (80.827) Epoch: [41][6130/10010] Time 0.315 (0.327) Data 0.001 (0.001) Loss 1.5956 (1.8046) Prec@1 61.719 (59.033) Prec@5 82.031 (80.828) Epoch: [41][6140/10010] Time 0.324 (0.327) Data 0.001 (0.001) Loss 1.5659 (1.8047) Prec@1 60.938 (59.029) Prec@5 83.594 (80.826) Epoch: [41][6150/10010] Time 0.334 (0.327) Data 0.001 (0.001) Loss 1.7491 (1.8048) Prec@1 64.062 (59.032) Prec@5 78.906 (80.823) Epoch: [41][6160/10010] Time 0.338 (0.327) Data 0.000 (0.001) Loss 1.6516 (1.8049) Prec@1 63.281 (59.029) Prec@5 82.031 (80.821) Epoch: [41][6170/10010] Time 0.320 (0.327) Data 0.001 (0.001) Loss 1.8121 (1.8048) Prec@1 57.031 (59.032) Prec@5 78.906 (80.822) Epoch: [41][6180/10010] Time 0.338 (0.327) Data 0.001 (0.001) Loss 1.6811 (1.8047) Prec@1 57.812 (59.033) Prec@5 82.812 (80.824) Epoch: [41][6190/10010] Time 0.338 (0.327) Data 0.001 (0.001) Loss 1.8502 (1.8047) Prec@1 57.031 (59.031) Prec@5 78.125 (80.823) Epoch: [41][6200/10010] Time 0.337 (0.327) Data 0.001 (0.001) Loss 1.7152 (1.8048) Prec@1 58.594 (59.028) Prec@5 81.250 (80.821) Epoch: [41][6210/10010] Time 0.330 (0.327) Data 0.001 (0.001) Loss 1.6015 (1.8049) Prec@1 60.938 (59.024) Prec@5 85.938 (80.819) Epoch: [41][6220/10010] Time 0.323 (0.327) Data 0.000 (0.001) Loss 1.8845 (1.8050) Prec@1 56.250 (59.024) Prec@5 77.344 (80.818) Epoch: [41][6230/10010] Time 0.329 (0.327) Data 0.000 (0.001) Loss 1.8934 (1.8051) Prec@1 56.250 (59.022) Prec@5 78.906 (80.816) Epoch: [41][6240/10010] Time 0.314 (0.327) Data 0.001 (0.001) Loss 1.6947 (1.8052) Prec@1 53.906 (59.021) Prec@5 85.156 (80.814) Epoch: [41][6250/10010] Time 0.337 (0.327) Data 0.001 (0.001) Loss 1.8283 (1.8052) Prec@1 58.594 (59.023) Prec@5 79.688 (80.813) Epoch: [41][6260/10010] Time 0.327 (0.327) Data 0.001 (0.001) Loss 1.7860 (1.8053) Prec@1 61.719 (59.018) Prec@5 81.250 (80.811) Epoch: [41][6270/10010] Time 0.312 (0.327) Data 0.001 (0.001) Loss 1.6349 (1.8053) Prec@1 60.938 (59.021) Prec@5 82.031 (80.811) Epoch: [41][6280/10010] Time 0.337 (0.327) Data 0.000 (0.001) Loss 1.7131 (1.8054) Prec@1 60.156 (59.018) Prec@5 80.469 (80.811) Epoch: [41][6290/10010] Time 0.323 (0.327) Data 0.001 (0.001) Loss 1.9458 (1.8054) Prec@1 56.250 (59.017) Prec@5 81.250 (80.809) Epoch: [41][6300/10010] Time 0.329 (0.327) Data 0.001 (0.001) Loss 1.7290 (1.8054) Prec@1 60.156 (59.017) Prec@5 82.812 (80.809) Epoch: [41][6310/10010] Time 0.335 (0.327) Data 0.001 (0.001) Loss 1.6828 (1.8056) Prec@1 59.375 (59.015) Prec@5 85.156 (80.807) Epoch: [41][6320/10010] Time 0.323 (0.327) Data 0.001 (0.001) Loss 1.8262 (1.8055) Prec@1 57.812 (59.016) Prec@5 81.250 (80.806) Epoch: [41][6330/10010] Time 0.329 (0.327) Data 0.001 (0.001) Loss 2.0317 (1.8057) Prec@1 56.250 (59.014) Prec@5 78.125 (80.806) Epoch: [41][6340/10010] Time 0.330 (0.327) Data 0.000 (0.001) Loss 2.1139 (1.8058) Prec@1 50.000 (59.012) Prec@5 78.906 (80.803) Epoch: [41][6350/10010] Time 0.327 (0.327) Data 0.001 (0.001) Loss 2.1287 (1.8060) Prec@1 53.906 (59.007) Prec@5 75.781 (80.800) Epoch: [41][6360/10010] Time 0.341 (0.327) Data 0.001 (0.001) Loss 1.8051 (1.8061) Prec@1 52.344 (59.005) Prec@5 82.812 (80.799) Epoch: [41][6370/10010] Time 0.327 (0.327) Data 0.001 (0.001) Loss 1.4733 (1.8059) Prec@1 64.062 (59.007) Prec@5 85.938 (80.802) Epoch: [41][6380/10010] Time 0.321 (0.327) Data 0.001 (0.001) Loss 1.8171 (1.8061) Prec@1 59.375 (59.006) Prec@5 78.906 (80.799) Epoch: [41][6390/10010] Time 0.322 (0.327) Data 0.001 (0.001) Loss 2.0342 (1.8062) Prec@1 59.375 (59.004) Prec@5 78.906 (80.799) Epoch: [41][6400/10010] Time 0.320 (0.327) Data 0.000 (0.001) Loss 1.9463 (1.8062) Prec@1 54.688 (59.000) Prec@5 75.781 (80.798) Epoch: [41][6410/10010] Time 0.323 (0.327) Data 0.001 (0.001) Loss 1.8289 (1.8062) Prec@1 55.469 (58.999) Prec@5 82.812 (80.796) Epoch: [41][6420/10010] Time 0.319 (0.327) Data 0.001 (0.001) Loss 1.6697 (1.8061) Prec@1 64.062 (59.004) Prec@5 82.031 (80.798) Epoch: [41][6430/10010] Time 0.330 (0.327) Data 0.001 (0.001) Loss 1.6550 (1.8060) Prec@1 65.625 (59.005) Prec@5 83.594 (80.799) Epoch: [41][6440/10010] Time 0.317 (0.327) Data 0.001 (0.001) Loss 1.7453 (1.8061) Prec@1 58.594 (59.002) Prec@5 85.156 (80.797) /data/vision/torralba/deepscene/lib/anaconda2/lib/python2.7/site-packages/PIL/TiffImagePlugin.py:692: UserWarning: Possibly corrupt EXIF data. Expecting to read 2555904 bytes but only got 0. Skipping tag 0 "Skipping tag %s" % (size, len(data), tag)) Epoch: [41][6450/10010] Time 0.330 (0.327) Data 0.001 (0.001) Loss 1.9640 (1.8063) Prec@1 53.906 (58.999) Prec@5 78.125 (80.796) Epoch: [41][6460/10010] Time 0.335 (0.327) Data 0.000 (0.001) Loss 1.7334 (1.8064) Prec@1 59.375 (58.997) Prec@5 83.594 (80.796) Epoch: [41][6470/10010] Time 0.342 (0.327) Data 0.000 (0.001) Loss 1.9385 (1.8063) Prec@1 57.031 (58.998) Prec@5 82.031 (80.797) Epoch: [41][6480/10010] Time 0.330 (0.327) Data 0.001 (0.001) Loss 1.5953 (1.8062) Prec@1 65.625 (59.000) Prec@5 83.594 (80.798) Epoch: [41][6490/10010] Time 0.318 (0.327) Data 0.001 (0.001) Loss 1.9719 (1.8063) Prec@1 53.906 (58.999) Prec@5 79.688 (80.799) Epoch: [41][6500/10010] Time 0.332 (0.327) Data 0.001 (0.001) Loss 2.1176 (1.8063) Prec@1 50.000 (58.997) Prec@5 80.469 (80.798) Epoch: [41][6510/10010] Time 0.324 (0.327) Data 0.001 (0.001) Loss 1.7256 (1.8064) Prec@1 62.500 (58.997) Prec@5 82.031 (80.797) Epoch: [41][6520/10010] Time 0.339 (0.327) Data 0.001 (0.001) Loss 1.6534 (1.8064) Prec@1 65.625 (58.998) Prec@5 80.469 (80.797) Epoch: [41][6530/10010] Time 0.323 (0.327) Data 0.001 (0.001) Loss 1.4794 (1.8064) Prec@1 67.188 (58.999) Prec@5 82.812 (80.796) Epoch: [41][6540/10010] Time 0.343 (0.327) Data 0.001 (0.001) Loss 2.2381 (1.8065) Prec@1 58.594 (58.997) Prec@5 74.219 (80.795) Epoch: [41][6550/10010] Time 0.324 (0.327) Data 0.001 (0.001) Loss 1.6540 (1.8066) Prec@1 64.844 (58.996) Prec@5 82.031 (80.796) Epoch: [41][6560/10010] Time 0.323 (0.327) Data 0.000 (0.001) Loss 1.8479 (1.8065) Prec@1 65.625 (58.997) Prec@5 78.906 (80.796) Epoch: [41][6570/10010] Time 0.341 (0.327) Data 0.000 (0.001) Loss 2.0942 (1.8066) Prec@1 53.125 (58.995) Prec@5 78.125 (80.794) Epoch: [41][6580/10010] Time 0.318 (0.327) Data 0.001 (0.001) Loss 1.5191 (1.8065) Prec@1 66.406 (58.999) Prec@5 84.375 (80.795) Epoch: [41][6590/10010] Time 0.322 (0.327) Data 0.001 (0.001) Loss 2.0504 (1.8064) Prec@1 54.688 (58.999) Prec@5 75.781 (80.795) Epoch: [41][6600/10010] Time 0.338 (0.327) Data 0.000 (0.001) Loss 1.6820 (1.8063) Prec@1 55.469 (58.999) Prec@5 82.812 (80.796) Epoch: [41][6610/10010] Time 0.325 (0.327) Data 0.001 (0.001) Loss 1.7500 (1.8063) Prec@1 61.719 (58.995) Prec@5 82.812 (80.795) Epoch: [41][6620/10010] Time 0.340 (0.327) Data 0.001 (0.001) Loss 1.7638 (1.8064) Prec@1 58.594 (58.995) Prec@5 81.250 (80.795) Epoch: [41][6630/10010] Time 0.318 (0.327) Data 0.001 (0.001) Loss 1.4632 (1.8064) Prec@1 67.188 (58.996) Prec@5 85.156 (80.795) Epoch: [41][6640/10010] Time 0.318 (0.327) Data 0.001 (0.001) Loss 1.9523 (1.8063) Prec@1 56.250 (58.994) Prec@5 83.594 (80.796) Epoch: [41][6650/10010] Time 0.338 (0.327) Data 0.000 (0.001) Loss 1.7336 (1.8064) Prec@1 60.156 (58.994) Prec@5 82.031 (80.796) Epoch: [41][6660/10010] Time 0.338 (0.327) Data 0.001 (0.001) Loss 1.5145 (1.8064) Prec@1 61.719 (58.993) Prec@5 86.719 (80.797) Epoch: [41][6670/10010] Time 0.323 (0.327) Data 0.001 (0.001) Loss 1.7469 (1.8064) Prec@1 61.719 (58.992) Prec@5 82.812 (80.798) Epoch: [41][6680/10010] Time 0.319 (0.327) Data 0.000 (0.001) Loss 1.6862 (1.8066) Prec@1 62.500 (58.990) Prec@5 84.375 (80.797) Epoch: [41][6690/10010] Time 0.327 (0.327) Data 0.000 (0.001) Loss 1.4959 (1.8066) Prec@1 63.281 (58.988) Prec@5 85.156 (80.795) Epoch: [41][6700/10010] Time 0.318 (0.327) Data 0.001 (0.001) Loss 1.9725 (1.8066) Prec@1 59.375 (58.991) Prec@5 79.688 (80.795) Epoch: [41][6710/10010] Time 0.325 (0.327) Data 0.001 (0.001) Loss 1.8006 (1.8065) Prec@1 53.906 (58.990) Prec@5 79.688 (80.797) Epoch: [41][6720/10010] Time 0.319 (0.327) Data 0.000 (0.001) Loss 1.7359 (1.8066) Prec@1 60.938 (58.991) Prec@5 82.812 (80.796) Epoch: [41][6730/10010] Time 0.334 (0.327) Data 0.001 (0.001) Loss 2.3396 (1.8066) Prec@1 52.344 (58.994) Prec@5 69.531 (80.795) Epoch: [41][6740/10010] Time 0.337 (0.327) Data 0.001 (0.001) Loss 1.7888 (1.8066) Prec@1 51.562 (58.992) Prec@5 85.156 (80.795) Epoch: [41][6750/10010] Time 0.333 (0.327) Data 0.001 (0.001) Loss 1.8204 (1.8067) Prec@1 63.281 (58.991) Prec@5 82.031 (80.795) Epoch: [41][6760/10010] Time 0.336 (0.327) Data 0.001 (0.001) Loss 1.9162 (1.8068) Prec@1 51.562 (58.988) Prec@5 80.469 (80.794) Epoch: [41][6770/10010] Time 0.319 (0.327) Data 0.000 (0.001) Loss 1.9998 (1.8068) Prec@1 57.812 (58.990) Prec@5 75.000 (80.793) Epoch: [41][6780/10010] Time 0.337 (0.327) Data 0.001 (0.001) Loss 1.7429 (1.8068) Prec@1 60.938 (58.990) Prec@5 81.250 (80.792) Epoch: [41][6790/10010] Time 0.337 (0.327) Data 0.001 (0.001) Loss 2.0125 (1.8068) Prec@1 53.906 (58.988) Prec@5 79.688 (80.791) Epoch: [41][6800/10010] Time 0.316 (0.327) Data 0.001 (0.001) Loss 2.0484 (1.8069) Prec@1 57.031 (58.988) Prec@5 79.688 (80.791) Epoch: [41][6810/10010] Time 0.322 (0.327) Data 0.001 (0.001) Loss 1.6454 (1.8069) Prec@1 61.719 (58.989) Prec@5 83.594 (80.792) Epoch: [41][6820/10010] Time 0.339 (0.327) Data 0.001 (0.001) Loss 1.9769 (1.8070) Prec@1 50.000 (58.988) Prec@5 79.688 (80.790) Epoch: [41][6830/10010] Time 0.317 (0.327) Data 0.001 (0.001) Loss 1.7362 (1.8069) Prec@1 57.812 (58.989) Prec@5 82.812 (80.791) Epoch: [41][6840/10010] Time 0.318 (0.327) Data 0.001 (0.001) Loss 1.7633 (1.8070) Prec@1 54.688 (58.987) Prec@5 82.812 (80.790) Epoch: [41][6850/10010] Time 0.329 (0.327) Data 0.001 (0.001) Loss 1.9210 (1.8072) Prec@1 54.688 (58.986) Prec@5 74.219 (80.787) Epoch: [41][6860/10010] Time 0.333 (0.327) Data 0.001 (0.001) Loss 1.8208 (1.8071) Prec@1 60.156 (58.986) Prec@5 77.344 (80.787) Epoch: [41][6870/10010] Time 0.319 (0.327) Data 0.001 (0.001) Loss 1.9135 (1.8072) Prec@1 55.469 (58.987) Prec@5 79.688 (80.786) Epoch: [41][6880/10010] Time 0.338 (0.327) Data 0.001 (0.001) Loss 2.0476 (1.8073) Prec@1 53.125 (58.984) Prec@5 78.125 (80.784) Epoch: [41][6890/10010] Time 0.335 (0.327) Data 0.001 (0.001) Loss 1.7361 (1.8075) Prec@1 61.719 (58.982) Prec@5 78.906 (80.782) Epoch: [41][6900/10010] Time 0.336 (0.327) Data 0.001 (0.001) Loss 1.7710 (1.8074) Prec@1 55.469 (58.983) Prec@5 80.469 (80.782) Epoch: [41][6910/10010] Time 0.319 (0.327) Data 0.000 (0.001) Loss 1.6864 (1.8072) Prec@1 64.844 (58.985) Prec@5 82.031 (80.783) Epoch: [41][6920/10010] Time 0.338 (0.327) Data 0.001 (0.001) Loss 1.8202 (1.8074) Prec@1 59.375 (58.982) Prec@5 80.469 (80.780) Epoch: [41][6930/10010] Time 0.328 (0.327) Data 0.001 (0.001) Loss 1.8231 (1.8075) Prec@1 57.812 (58.978) Prec@5 77.344 (80.778) Epoch: [41][6940/10010] Time 0.318 (0.327) Data 0.001 (0.001) Loss 1.7229 (1.8074) Prec@1 64.062 (58.981) Prec@5 78.125 (80.779) Epoch: [41][6950/10010] Time 0.317 (0.327) Data 0.001 (0.001) Loss 1.7737 (1.8074) Prec@1 52.344 (58.981) Prec@5 82.812 (80.779) Epoch: [41][6960/10010] Time 0.326 (0.327) Data 0.001 (0.001) Loss 1.9011 (1.8074) Prec@1 59.375 (58.983) Prec@5 75.781 (80.780) Epoch: [41][6970/10010] Time 0.322 (0.327) Data 0.001 (0.001) Loss 1.8345 (1.8074) Prec@1 61.719 (58.981) Prec@5 83.594 (80.781) Epoch: [41][6980/10010] Time 0.316 (0.327) Data 0.001 (0.001) Loss 1.7074 (1.8076) Prec@1 58.594 (58.976) Prec@5 82.031 (80.778) Epoch: [41][6990/10010] Time 0.329 (0.327) Data 0.000 (0.001) Loss 1.7915 (1.8076) Prec@1 60.156 (58.977) Prec@5 80.469 (80.777) Epoch: [41][7000/10010] Time 0.320 (0.327) Data 0.001 (0.001) Loss 1.4925 (1.8076) Prec@1 67.969 (58.976) Prec@5 83.594 (80.777) Epoch: [41][7010/10010] Time 0.318 (0.327) Data 0.000 (0.001) Loss 1.4936 (1.8074) Prec@1 65.625 (58.981) Prec@5 84.375 (80.779) Epoch: [41][7020/10010] Time 0.333 (0.327) Data 0.001 (0.001) Loss 1.7823 (1.8075) Prec@1 58.594 (58.981) Prec@5 82.812 (80.778) Epoch: [41][7030/10010] Time 0.319 (0.327) Data 0.001 (0.001) Loss 1.8667 (1.8074) Prec@1 57.812 (58.980) Prec@5 78.125 (80.779) Epoch: [41][7040/10010] Time 0.312 (0.327) Data 0.001 (0.001) Loss 1.8454 (1.8076) Prec@1 56.250 (58.977) Prec@5 79.688 (80.776) Epoch: [41][7050/10010] Time 0.330 (0.327) Data 0.001 (0.001) Loss 1.7087 (1.8076) Prec@1 64.062 (58.978) Prec@5 78.906 (80.774) Epoch: [41][7060/10010] Time 0.320 (0.327) Data 0.001 (0.001) Loss 1.7135 (1.8075) Prec@1 66.406 (58.979) Prec@5 77.344 (80.775) Epoch: [41][7070/10010] Time 0.335 (0.327) Data 0.001 (0.001) Loss 1.8698 (1.8075) Prec@1 60.938 (58.978) Prec@5 80.469 (80.775) Epoch: [41][7080/10010] Time 0.333 (0.327) Data 0.001 (0.001) Loss 1.9554 (1.8075) Prec@1 57.812 (58.980) Prec@5 77.344 (80.774) Epoch: [41][7090/10010] Time 0.315 (0.327) Data 0.001 (0.001) Loss 1.8226 (1.8076) Prec@1 58.594 (58.979) Prec@5 78.125 (80.772) Epoch: [41][7100/10010] Time 0.317 (0.327) Data 0.001 (0.001) Loss 1.7174 (1.8076) Prec@1 57.812 (58.978) Prec@5 83.594 (80.773) Epoch: [41][7110/10010] Time 0.316 (0.327) Data 0.001 (0.001) Loss 1.6599 (1.8075) Prec@1 56.250 (58.979) Prec@5 82.812 (80.773) Epoch: [41][7120/10010] Time 0.330 (0.327) Data 0.000 (0.001) Loss 1.5482 (1.8075) Prec@1 66.406 (58.981) Prec@5 85.156 (80.774) Epoch: [41][7130/10010] Time 0.331 (0.327) Data 0.001 (0.001) Loss 1.9921 (1.8076) Prec@1 54.688 (58.978) Prec@5 75.000 (80.772) Epoch: [41][7140/10010] Time 0.330 (0.327) Data 0.001 (0.001) Loss 2.1730 (1.8077) Prec@1 46.875 (58.974) Prec@5 75.000 (80.772) Epoch: [41][7150/10010] Time 0.319 (0.327) Data 0.001 (0.001) Loss 1.7888 (1.8075) Prec@1 57.812 (58.975) Prec@5 86.719 (80.775) Epoch: [41][7160/10010] Time 0.326 (0.327) Data 0.001 (0.001) Loss 1.9313 (1.8076) Prec@1 60.938 (58.976) Prec@5 77.344 (80.774) Epoch: [41][7170/10010] Time 0.320 (0.327) Data 0.001 (0.001) Loss 1.8033 (1.8076) Prec@1 61.719 (58.977) Prec@5 83.594 (80.773) Epoch: [41][7180/10010] Time 0.327 (0.327) Data 0.001 (0.001) Loss 1.6522 (1.8075) Prec@1 63.281 (58.977) Prec@5 83.594 (80.774) Epoch: [41][7190/10010] Time 0.319 (0.327) Data 0.001 (0.001) Loss 1.7744 (1.8076) Prec@1 62.500 (58.978) Prec@5 82.812 (80.775) Epoch: [41][7200/10010] Time 0.325 (0.327) Data 0.001 (0.001) Loss 1.8314 (1.8076) Prec@1 51.562 (58.974) Prec@5 82.812 (80.774) Epoch: [41][7210/10010] Time 0.315 (0.327) Data 0.001 (0.001) Loss 1.6903 (1.8076) Prec@1 61.719 (58.973) Prec@5 85.156 (80.772) Epoch: [41][7220/10010] Time 0.317 (0.327) Data 0.001 (0.001) Loss 1.7576 (1.8077) Prec@1 57.031 (58.971) Prec@5 82.031 (80.771) Epoch: [41][7230/10010] Time 0.338 (0.327) Data 0.001 (0.001) Loss 1.6780 (1.8077) Prec@1 64.062 (58.971) Prec@5 80.469 (80.771) Epoch: [41][7240/10010] Time 0.335 (0.327) Data 0.001 (0.001) Loss 1.6469 (1.8077) Prec@1 57.031 (58.970) Prec@5 88.281 (80.773) Epoch: [41][7250/10010] Time 0.318 (0.327) Data 0.001 (0.001) Loss 1.8502 (1.8078) Prec@1 57.031 (58.966) Prec@5 82.812 (80.771) Epoch: [41][7260/10010] Time 0.325 (0.327) Data 0.000 (0.001) Loss 2.0022 (1.8079) Prec@1 57.812 (58.967) Prec@5 78.906 (80.771) Epoch: [41][7270/10010] Time 0.319 (0.327) Data 0.001 (0.001) Loss 2.0181 (1.8080) Prec@1 54.688 (58.963) Prec@5 78.906 (80.769) Epoch: [41][7280/10010] Time 0.330 (0.327) Data 0.001 (0.001) Loss 1.5763 (1.8081) Prec@1 57.031 (58.962) Prec@5 83.594 (80.769) Epoch: [41][7290/10010] Time 0.334 (0.327) Data 0.000 (0.001) Loss 1.9640 (1.8081) Prec@1 55.469 (58.960) Prec@5 78.125 (80.769) Epoch: [41][7300/10010] Time 0.338 (0.327) Data 0.001 (0.001) Loss 1.5185 (1.8083) Prec@1 65.625 (58.958) Prec@5 84.375 (80.767) Epoch: [41][7310/10010] Time 0.334 (0.327) Data 0.001 (0.001) Loss 1.9312 (1.8083) Prec@1 56.250 (58.957) Prec@5 80.469 (80.767) Epoch: [41][7320/10010] Time 0.313 (0.327) Data 0.001 (0.001) Loss 1.6607 (1.8084) Prec@1 56.250 (58.954) Prec@5 80.469 (80.766) Epoch: [41][7330/10010] Time 0.332 (0.327) Data 0.001 (0.001) Loss 1.7828 (1.8083) Prec@1 60.156 (58.955) Prec@5 79.688 (80.768) Epoch: [41][7340/10010] Time 0.315 (0.327) Data 0.001 (0.001) Loss 1.9478 (1.8083) Prec@1 63.281 (58.956) Prec@5 77.344 (80.769) Epoch: [41][7350/10010] Time 0.326 (0.327) Data 0.001 (0.001) Loss 1.7083 (1.8083) Prec@1 59.375 (58.957) Prec@5 83.594 (80.768) Epoch: [41][7360/10010] Time 0.329 (0.327) Data 0.001 (0.001) Loss 1.9900 (1.8084) Prec@1 54.688 (58.954) Prec@5 75.781 (80.765) Epoch: [41][7370/10010] Time 0.321 (0.327) Data 0.001 (0.001) Loss 1.7141 (1.8084) Prec@1 63.281 (58.953) Prec@5 84.375 (80.766) Epoch: [41][7380/10010] Time 0.317 (0.327) Data 0.001 (0.001) Loss 1.5714 (1.8083) Prec@1 57.031 (58.956) Prec@5 84.375 (80.768) Epoch: [41][7390/10010] Time 0.344 (0.327) Data 0.000 (0.001) Loss 1.5361 (1.8082) Prec@1 63.281 (58.957) Prec@5 85.156 (80.768) Epoch: [41][7400/10010] Time 0.324 (0.327) Data 0.000 (0.001) Loss 1.7102 (1.8082) Prec@1 60.156 (58.958) Prec@5 83.594 (80.769) Epoch: [41][7410/10010] Time 0.326 (0.327) Data 0.001 (0.001) Loss 1.3362 (1.8081) Prec@1 68.750 (58.960) Prec@5 86.719 (80.770) Epoch: [41][7420/10010] Time 0.348 (0.327) Data 0.001 (0.001) Loss 1.7711 (1.8081) Prec@1 63.281 (58.962) Prec@5 82.031 (80.770) Epoch: [41][7430/10010] Time 0.320 (0.327) Data 0.001 (0.001) Loss 1.9469 (1.8081) Prec@1 53.906 (58.961) Prec@5 77.344 (80.769) Epoch: [41][7440/10010] Time 0.341 (0.327) Data 0.000 (0.001) Loss 1.8862 (1.8080) Prec@1 60.938 (58.963) Prec@5 82.031 (80.771) Epoch: [41][7450/10010] Time 0.328 (0.327) Data 0.001 (0.001) Loss 1.8604 (1.8080) Prec@1 51.562 (58.965) Prec@5 77.344 (80.771) Epoch: [41][7460/10010] Time 0.321 (0.327) Data 0.001 (0.001) Loss 1.5443 (1.8079) Prec@1 66.406 (58.966) Prec@5 82.031 (80.773) Epoch: [41][7470/10010] Time 0.318 (0.327) Data 0.001 (0.001) Loss 1.6072 (1.8079) Prec@1 60.938 (58.965) Prec@5 82.812 (80.772) Epoch: [41][7480/10010] Time 0.331 (0.327) Data 0.001 (0.001) Loss 1.7377 (1.8080) Prec@1 57.031 (58.963) Prec@5 82.031 (80.772) Epoch: [41][7490/10010] Time 0.327 (0.327) Data 0.001 (0.001) Loss 1.8718 (1.8079) Prec@1 56.250 (58.963) Prec@5 77.344 (80.773) Epoch: [41][7500/10010] Time 0.326 (0.327) Data 0.001 (0.001) Loss 2.1564 (1.8079) Prec@1 53.125 (58.962) Prec@5 75.781 (80.772) Epoch: [41][7510/10010] Time 0.317 (0.327) Data 0.001 (0.001) Loss 2.0570 (1.8080) Prec@1 54.688 (58.961) Prec@5 75.000 (80.770) Epoch: [41][7520/10010] Time 0.327 (0.327) Data 0.000 (0.001) Loss 1.8129 (1.8081) Prec@1 50.000 (58.958) Prec@5 80.469 (80.769) Epoch: [41][7530/10010] Time 0.337 (0.327) Data 0.001 (0.001) Loss 2.0365 (1.8082) Prec@1 47.656 (58.957) Prec@5 78.906 (80.767) Epoch: [41][7540/10010] Time 0.332 (0.327) Data 0.001 (0.001) Loss 2.1757 (1.8082) Prec@1 50.781 (58.956) Prec@5 71.094 (80.768) Epoch: [41][7550/10010] Time 0.325 (0.327) Data 0.001 (0.001) Loss 2.0429 (1.8084) Prec@1 55.469 (58.951) Prec@5 78.125 (80.764) Epoch: [41][7560/10010] Time 0.330 (0.327) Data 0.001 (0.001) Loss 1.9309 (1.8085) Prec@1 53.125 (58.949) Prec@5 78.906 (80.763) Epoch: [41][7570/10010] Time 0.334 (0.327) Data 0.000 (0.001) Loss 1.8164 (1.8086) Prec@1 58.594 (58.947) Prec@5 78.906 (80.761) Epoch: [41][7580/10010] Time 0.326 (0.327) Data 0.000 (0.001) Loss 1.9117 (1.8086) Prec@1 54.688 (58.947) Prec@5 81.250 (80.760) Epoch: [41][7590/10010] Time 0.325 (0.327) Data 0.001 (0.001) Loss 1.9810 (1.8085) Prec@1 57.031 (58.948) Prec@5 75.000 (80.761) Epoch: [41][7600/10010] Time 0.318 (0.327) Data 0.001 (0.001) Loss 1.7441 (1.8085) Prec@1 59.375 (58.949) Prec@5 85.156 (80.763) Epoch: [41][7610/10010] Time 0.320 (0.327) Data 0.001 (0.001) Loss 1.5635 (1.8084) Prec@1 59.375 (58.950) Prec@5 83.594 (80.763) Epoch: [41][7620/10010] Time 0.317 (0.327) Data 0.001 (0.001) Loss 1.9688 (1.8084) Prec@1 58.594 (58.951) Prec@5 79.688 (80.764) Epoch: [41][7630/10010] Time 0.310 (0.327) Data 0.001 (0.001) Loss 2.0047 (1.8084) Prec@1 55.469 (58.951) Prec@5 80.469 (80.764) Epoch: [41][7640/10010] Time 0.319 (0.327) Data 0.001 (0.001) Loss 1.6862 (1.8085) Prec@1 64.844 (58.949) Prec@5 84.375 (80.763) Epoch: [41][7650/10010] Time 0.325 (0.327) Data 0.001 (0.001) Loss 1.9775 (1.8086) Prec@1 56.250 (58.945) Prec@5 78.125 (80.762) Epoch: [41][7660/10010] Time 0.316 (0.327) Data 0.001 (0.001) Loss 1.9831 (1.8087) Prec@1 54.688 (58.944) Prec@5 79.688 (80.760) Epoch: [41][7670/10010] Time 0.318 (0.327) Data 0.001 (0.001) Loss 1.9283 (1.8089) Prec@1 56.250 (58.941) Prec@5 80.469 (80.759) Epoch: [41][7680/10010] Time 0.327 (0.327) Data 0.000 (0.001) Loss 1.9573 (1.8088) Prec@1 61.719 (58.942) Prec@5 76.562 (80.758) Epoch: [41][7690/10010] Time 0.337 (0.327) Data 0.001 (0.001) Loss 1.7028 (1.8089) Prec@1 56.250 (58.940) Prec@5 84.375 (80.757) Epoch: [41][7700/10010] Time 0.318 (0.327) Data 0.000 (0.001) Loss 2.1278 (1.8090) Prec@1 53.125 (58.936) Prec@5 74.219 (80.754) Epoch: [41][7710/10010] Time 0.338 (0.327) Data 0.000 (0.001) Loss 1.7686 (1.8091) Prec@1 57.031 (58.935) Prec@5 80.469 (80.752) Epoch: [41][7720/10010] Time 0.320 (0.327) Data 0.001 (0.001) Loss 1.8457 (1.8091) Prec@1 55.469 (58.935) Prec@5 82.031 (80.752) Epoch: [41][7730/10010] Time 0.333 (0.327) Data 0.001 (0.001) Loss 1.9311 (1.8091) Prec@1 60.156 (58.937) Prec@5 75.000 (80.752) Epoch: [41][7740/10010] Time 0.339 (0.327) Data 0.000 (0.001) Loss 1.7779 (1.8091) Prec@1 59.375 (58.936) Prec@5 81.250 (80.751) Epoch: [41][7750/10010] Time 0.332 (0.327) Data 0.001 (0.001) Loss 1.9107 (1.8091) Prec@1 51.562 (58.935) Prec@5 80.469 (80.750) Epoch: [41][7760/10010] Time 0.339 (0.327) Data 0.000 (0.001) Loss 2.0922 (1.8093) Prec@1 56.250 (58.933) Prec@5 77.344 (80.748) Epoch: [41][7770/10010] Time 0.322 (0.327) Data 0.001 (0.001) Loss 1.8052 (1.8095) Prec@1 60.938 (58.932) Prec@5 80.469 (80.746) Epoch: [41][7780/10010] Time 0.330 (0.327) Data 0.001 (0.001) Loss 1.7546 (1.8095) Prec@1 64.062 (58.932) Prec@5 82.031 (80.744) Epoch: [41][7790/10010] Time 0.332 (0.327) Data 0.001 (0.001) Loss 1.9294 (1.8096) Prec@1 54.688 (58.930) Prec@5 82.031 (80.743) Epoch: [41][7800/10010] Time 0.323 (0.327) Data 0.001 (0.001) Loss 1.7845 (1.8096) Prec@1 63.281 (58.930) Prec@5 81.250 (80.743) Epoch: [41][7810/10010] Time 0.322 (0.327) Data 0.000 (0.001) Loss 1.5284 (1.8095) Prec@1 64.844 (58.933) Prec@5 84.375 (80.743) Epoch: [41][7820/10010] Time 0.317 (0.327) Data 0.001 (0.001) Loss 1.9519 (1.8095) Prec@1 52.344 (58.931) Prec@5 78.906 (80.743) Epoch: [41][7830/10010] Time 0.321 (0.327) Data 0.001 (0.001) Loss 1.6722 (1.8095) Prec@1 60.938 (58.931) Prec@5 83.594 (80.744) Epoch: [41][7840/10010] Time 0.319 (0.327) Data 0.000 (0.001) Loss 2.2186 (1.8094) Prec@1 51.562 (58.933) Prec@5 76.562 (80.744) Epoch: [41][7850/10010] Time 0.336 (0.327) Data 0.001 (0.001) Loss 2.2911 (1.8096) Prec@1 51.562 (58.932) Prec@5 74.219 (80.742) Epoch: [41][7860/10010] Time 0.327 (0.327) Data 0.000 (0.001) Loss 2.1264 (1.8098) Prec@1 54.688 (58.929) Prec@5 74.219 (80.739) Epoch: [41][7870/10010] Time 0.311 (0.327) Data 0.001 (0.001) Loss 1.7711 (1.8098) Prec@1 57.031 (58.931) Prec@5 82.031 (80.739) /data/vision/torralba/deepscene/lib/anaconda2/lib/python2.7/site-packages/PIL/TiffImagePlugin.py:709: UserWarning: Corrupt EXIF data. Expecting to read 4 bytes but only got 0. warnings.warn(str(msg)) Epoch: [41][7880/10010] Time 0.338 (0.327) Data 0.001 (0.001) Loss 2.0643 (1.8098) Prec@1 55.469 (58.930) Prec@5 78.906 (80.739) Epoch: [41][7890/10010] Time 0.338 (0.327) Data 0.000 (0.001) Loss 1.6814 (1.8097) Prec@1 55.469 (58.933) Prec@5 83.594 (80.741) Epoch: [41][7900/10010] Time 0.339 (0.327) Data 0.001 (0.001) Loss 1.9330 (1.8098) Prec@1 59.375 (58.932) Prec@5 78.125 (80.741) Epoch: [41][7910/10010] Time 0.321 (0.327) Data 0.001 (0.001) Loss 1.4677 (1.8098) Prec@1 65.625 (58.932) Prec@5 85.938 (80.739) Epoch: [41][7920/10010] Time 0.307 (0.327) Data 0.001 (0.001) Loss 2.2712 (1.8101) Prec@1 46.094 (58.928) Prec@5 77.344 (80.736) Epoch: [41][7930/10010] Time 0.321 (0.327) Data 0.001 (0.001) Loss 1.8543 (1.8101) Prec@1 56.250 (58.928) Prec@5 79.688 (80.736) Epoch: [41][7940/10010] Time 0.324 (0.327) Data 0.001 (0.001) Loss 1.7130 (1.8101) Prec@1 61.719 (58.927) Prec@5 81.250 (80.735) Epoch: [41][7950/10010] Time 0.335 (0.327) Data 0.001 (0.001) Loss 2.0211 (1.8102) Prec@1 51.562 (58.925) Prec@5 76.562 (80.734) Epoch: [41][7960/10010] Time 0.336 (0.327) Data 0.001 (0.001) Loss 2.1564 (1.8103) Prec@1 50.781 (58.921) Prec@5 74.219 (80.733) Epoch: [41][7970/10010] Time 0.337 (0.327) Data 0.000 (0.001) Loss 2.0268 (1.8103) Prec@1 55.469 (58.920) Prec@5 75.781 (80.733) Epoch: [41][7980/10010] Time 0.325 (0.327) Data 0.001 (0.001) Loss 1.6800 (1.8104) Prec@1 62.500 (58.917) Prec@5 80.469 (80.733) Epoch: [41][7990/10010] Time 0.330 (0.327) Data 0.001 (0.001) Loss 1.9009 (1.8103) Prec@1 50.781 (58.917) Prec@5 78.906 (80.736) Epoch: [41][8000/10010] Time 0.337 (0.327) Data 0.001 (0.001) Loss 2.1033 (1.8103) Prec@1 58.594 (58.915) Prec@5 76.562 (80.737) Epoch: [41][8010/10010] Time 0.332 (0.327) Data 0.000 (0.001) Loss 1.6733 (1.8103) Prec@1 63.281 (58.916) Prec@5 85.156 (80.738) Epoch: [41][8020/10010] Time 0.340 (0.327) Data 0.001 (0.001) Loss 2.0619 (1.8103) Prec@1 54.688 (58.915) Prec@5 82.812 (80.739) Epoch: [41][8030/10010] Time 0.316 (0.327) Data 0.000 (0.001) Loss 1.7416 (1.8103) Prec@1 62.500 (58.914) Prec@5 82.031 (80.739) Epoch: [41][8040/10010] Time 0.337 (0.327) Data 0.000 (0.001) Loss 1.7788 (1.8103) Prec@1 58.594 (58.913) Prec@5 81.250 (80.738) Epoch: [41][8050/10010] Time 0.318 (0.327) Data 0.001 (0.001) Loss 1.9167 (1.8103) Prec@1 55.469 (58.914) Prec@5 80.469 (80.740) Epoch: [41][8060/10010] Time 0.334 (0.327) Data 0.001 (0.001) Loss 2.0972 (1.8103) Prec@1 53.906 (58.913) Prec@5 77.344 (80.739) Epoch: [41][8070/10010] Time 0.315 (0.327) Data 0.001 (0.001) Loss 1.8052 (1.8103) Prec@1 58.594 (58.912) Prec@5 82.812 (80.738) Epoch: [41][8080/10010] Time 0.330 (0.327) Data 0.001 (0.001) Loss 1.9033 (1.8102) Prec@1 54.688 (58.914) Prec@5 81.250 (80.740) Epoch: [41][8090/10010] Time 0.322 (0.327) Data 0.001 (0.001) Loss 1.8343 (1.8102) Prec@1 55.469 (58.912) Prec@5 78.906 (80.739) Epoch: [41][8100/10010] Time 0.323 (0.327) Data 0.001 (0.001) Loss 1.9032 (1.8102) Prec@1 52.344 (58.912) Prec@5 78.906 (80.738) Epoch: [41][8110/10010] Time 0.340 (0.327) Data 0.000 (0.001) Loss 2.2189 (1.8103) Prec@1 53.125 (58.912) Prec@5 74.219 (80.738) Epoch: [41][8120/10010] Time 0.320 (0.327) Data 0.001 (0.001) Loss 1.7067 (1.8103) Prec@1 63.281 (58.913) Prec@5 82.031 (80.739) Epoch: [41][8130/10010] Time 0.323 (0.327) Data 0.001 (0.001) Loss 1.9386 (1.8105) Prec@1 60.156 (58.909) Prec@5 79.688 (80.735) Epoch: [41][8140/10010] Time 0.339 (0.327) Data 0.000 (0.001) Loss 1.9305 (1.8105) Prec@1 52.344 (58.909) Prec@5 79.688 (80.734) Epoch: [41][8150/10010] Time 0.316 (0.327) Data 0.001 (0.001) Loss 1.6480 (1.8106) Prec@1 64.062 (58.909) Prec@5 80.469 (80.734) Epoch: [41][8160/10010] Time 0.323 (0.327) Data 0.001 (0.001) Loss 1.9131 (1.8106) Prec@1 61.719 (58.909) Prec@5 80.469 (80.735) Epoch: [41][8170/10010] Time 0.337 (0.327) Data 0.001 (0.001) Loss 1.8088 (1.8105) Prec@1 60.938 (58.912) Prec@5 78.906 (80.736) Epoch: [41][8180/10010] Time 0.320 (0.327) Data 0.001 (0.001) Loss 1.8108 (1.8104) Prec@1 56.250 (58.912) Prec@5 80.469 (80.736) Epoch: [41][8190/10010] Time 0.322 (0.327) Data 0.000 (0.001) Loss 1.9939 (1.8104) Prec@1 59.375 (58.913) Prec@5 78.906 (80.737) Epoch: [41][8200/10010] Time 0.339 (0.327) Data 0.000 (0.001) Loss 1.4756 (1.8103) Prec@1 68.750 (58.916) Prec@5 87.500 (80.738) Epoch: [41][8210/10010] Time 0.341 (0.327) Data 0.000 (0.001) Loss 1.8739 (1.8103) Prec@1 60.938 (58.915) Prec@5 83.594 (80.738) Epoch: [41][8220/10010] Time 0.319 (0.327) Data 0.001 (0.001) Loss 1.8545 (1.8103) Prec@1 58.594 (58.917) Prec@5 80.469 (80.739) Epoch: [41][8230/10010] Time 0.340 (0.327) Data 0.001 (0.001) Loss 2.0823 (1.8103) Prec@1 54.688 (58.915) Prec@5 74.219 (80.739) Epoch: [41][8240/10010] Time 0.322 (0.327) Data 0.001 (0.001) Loss 1.6372 (1.8102) Prec@1 61.719 (58.916) Prec@5 85.156 (80.739) Epoch: [41][8250/10010] Time 0.309 (0.327) Data 0.001 (0.001) Loss 1.8901 (1.8103) Prec@1 57.812 (58.914) Prec@5 77.344 (80.739) Epoch: [41][8260/10010] Time 0.324 (0.327) Data 0.001 (0.001) Loss 1.9701 (1.8104) Prec@1 52.344 (58.912) Prec@5 78.125 (80.737) Epoch: [41][8270/10010] Time 0.336 (0.327) Data 0.001 (0.001) Loss 1.4726 (1.8104) Prec@1 67.188 (58.913) Prec@5 86.719 (80.739) Epoch: [41][8280/10010] Time 0.319 (0.327) Data 0.001 (0.001) Loss 1.6380 (1.8103) Prec@1 57.031 (58.914) Prec@5 83.594 (80.739) Epoch: [41][8290/10010] Time 0.326 (0.327) Data 0.001 (0.001) Loss 1.9126 (1.8103) Prec@1 51.562 (58.913) Prec@5 80.469 (80.740) Epoch: [41][8300/10010] Time 0.332 (0.327) Data 0.001 (0.001) Loss 1.9192 (1.8103) Prec@1 56.250 (58.911) Prec@5 76.562 (80.738) Epoch: [41][8310/10010] Time 0.335 (0.327) Data 0.001 (0.001) Loss 1.9704 (1.8103) Prec@1 52.344 (58.911) Prec@5 77.344 (80.738) Epoch: [41][8320/10010] Time 0.338 (0.327) Data 0.001 (0.001) Loss 1.5893 (1.8103) Prec@1 62.500 (58.912) Prec@5 86.719 (80.738) Epoch: [41][8330/10010] Time 0.323 (0.327) Data 0.000 (0.001) Loss 1.8891 (1.8103) Prec@1 55.469 (58.912) Prec@5 81.250 (80.737) Epoch: [41][8340/10010] Time 0.313 (0.327) Data 0.001 (0.001) Loss 1.8127 (1.8104) Prec@1 57.031 (58.910) Prec@5 78.125 (80.734) Epoch: [41][8350/10010] Time 0.334 (0.327) Data 0.001 (0.001) Loss 2.6159 (1.8104) Prec@1 42.969 (58.907) Prec@5 68.750 (80.733) Epoch: [41][8360/10010] Time 0.340 (0.327) Data 0.001 (0.001) Loss 1.7083 (1.8104) Prec@1 59.375 (58.908) Prec@5 82.812 (80.735) Epoch: [41][8370/10010] Time 0.333 (0.327) Data 0.001 (0.001) Loss 1.7156 (1.8105) Prec@1 60.156 (58.906) Prec@5 79.688 (80.734) Epoch: [41][8380/10010] Time 0.318 (0.327) Data 0.001 (0.001) Loss 1.8791 (1.8104) Prec@1 57.812 (58.907) Prec@5 80.469 (80.735) Epoch: [41][8390/10010] Time 0.328 (0.327) Data 0.001 (0.001) Loss 1.7835 (1.8104) Prec@1 53.906 (58.905) Prec@5 82.031 (80.734) Epoch: [41][8400/10010] Time 0.340 (0.327) Data 0.001 (0.001) Loss 1.9664 (1.8105) Prec@1 56.250 (58.903) Prec@5 79.688 (80.733) Epoch: [41][8410/10010] Time 0.330 (0.327) Data 0.001 (0.001) Loss 2.1514 (1.8105) Prec@1 50.781 (58.902) Prec@5 75.000 (80.732) /data/vision/torralba/deepscene/lib/anaconda2/lib/python2.7/site-packages/PIL/TiffImagePlugin.py:692: UserWarning: Possibly corrupt EXIF data. Expecting to read 1835008 bytes but only got 0. Skipping tag 0 "Skipping tag %s" % (size, len(data), tag)) Epoch: [41][8420/10010] Time 0.322 (0.327) Data 0.001 (0.001) Loss 1.6543 (1.8106) Prec@1 60.938 (58.900) Prec@5 84.375 (80.731) Epoch: [41][8430/10010] Time 0.324 (0.327) Data 0.000 (0.001) Loss 2.0974 (1.8106) Prec@1 56.250 (58.901) Prec@5 77.344 (80.731) Epoch: [41][8440/10010] Time 0.337 (0.327) Data 0.001 (0.001) Loss 2.1006 (1.8105) Prec@1 53.906 (58.901) Prec@5 76.562 (80.731) Epoch: [41][8450/10010] Time 0.340 (0.327) Data 0.000 (0.001) Loss 1.6192 (1.8105) Prec@1 58.594 (58.900) Prec@5 85.938 (80.731) Epoch: [41][8460/10010] Time 0.332 (0.327) Data 0.001 (0.001) Loss 2.2558 (1.8105) Prec@1 50.781 (58.900) Prec@5 71.094 (80.731) Epoch: [41][8470/10010] Time 0.346 (0.327) Data 0.001 (0.001) Loss 2.1383 (1.8107) Prec@1 53.125 (58.898) Prec@5 76.562 (80.729) Epoch: [41][8480/10010] Time 0.335 (0.327) Data 0.001 (0.001) Loss 2.3190 (1.8108) Prec@1 51.562 (58.897) Prec@5 75.000 (80.728) Epoch: [41][8490/10010] Time 0.318 (0.327) Data 0.001 (0.001) Loss 1.8709 (1.8107) Prec@1 57.812 (58.898) Prec@5 82.031 (80.730) Epoch: [41][8500/10010] Time 0.334 (0.327) Data 0.001 (0.001) Loss 1.9146 (1.8107) Prec@1 57.031 (58.900) Prec@5 79.688 (80.730) Epoch: [41][8510/10010] Time 0.322 (0.327) Data 0.000 (0.001) Loss 1.4709 (1.8106) Prec@1 65.625 (58.901) Prec@5 85.156 (80.731) Epoch: [41][8520/10010] Time 0.340 (0.327) Data 0.001 (0.001) Loss 1.9305 (1.8106) Prec@1 57.031 (58.902) Prec@5 82.031 (80.731) Epoch: [41][8530/10010] Time 0.330 (0.327) Data 0.001 (0.001) Loss 2.0388 (1.8106) Prec@1 51.562 (58.903) Prec@5 77.344 (80.732) Epoch: [41][8540/10010] Time 0.330 (0.327) Data 0.001 (0.001) Loss 1.5848 (1.8105) Prec@1 59.375 (58.903) Prec@5 86.719 (80.733) Epoch: [41][8550/10010] Time 0.323 (0.327) Data 0.001 (0.001) Loss 1.9345 (1.8106) Prec@1 53.906 (58.903) Prec@5 81.250 (80.732) Epoch: [41][8560/10010] Time 0.315 (0.327) Data 0.001 (0.001) Loss 1.8556 (1.8106) Prec@1 52.344 (58.903) Prec@5 78.906 (80.732) Epoch: [41][8570/10010] Time 0.338 (0.327) Data 0.001 (0.001) Loss 1.7597 (1.8104) Prec@1 60.938 (58.906) Prec@5 84.375 (80.735) Epoch: [41][8580/10010] Time 0.316 (0.327) Data 0.000 (0.001) Loss 2.0223 (1.8104) Prec@1 60.156 (58.905) Prec@5 74.219 (80.734) Epoch: [41][8590/10010] Time 0.339 (0.327) Data 0.000 (0.001) Loss 1.5997 (1.8104) Prec@1 59.375 (58.906) Prec@5 82.812 (80.735) Epoch: [41][8600/10010] Time 0.325 (0.327) Data 0.001 (0.001) Loss 2.1964 (1.8104) Prec@1 53.906 (58.906) Prec@5 71.875 (80.734) Epoch: [41][8610/10010] Time 0.331 (0.327) Data 0.000 (0.001) Loss 1.7678 (1.8106) Prec@1 61.719 (58.903) Prec@5 79.688 (80.730) Epoch: [41][8620/10010] Time 0.324 (0.327) Data 0.001 (0.001) Loss 2.0455 (1.8106) Prec@1 60.156 (58.902) Prec@5 78.125 (80.731) Epoch: [41][8630/10010] Time 0.324 (0.327) Data 0.001 (0.001) Loss 1.7317 (1.8105) Prec@1 60.156 (58.903) Prec@5 80.469 (80.731) Epoch: [41][8640/10010] Time 0.332 (0.327) Data 0.001 (0.001) Loss 1.9541 (1.8106) Prec@1 57.031 (58.901) Prec@5 81.250 (80.728) Epoch: [41][8650/10010] Time 0.315 (0.327) Data 0.000 (0.001) Loss 2.1253 (1.8106) Prec@1 53.906 (58.900) Prec@5 76.562 (80.727) Epoch: [41][8660/10010] Time 0.320 (0.327) Data 0.000 (0.001) Loss 1.7307 (1.8107) Prec@1 63.281 (58.899) Prec@5 85.156 (80.726) Epoch: [41][8670/10010] Time 0.307 (0.327) Data 0.001 (0.001) Loss 1.5601 (1.8106) Prec@1 59.375 (58.901) Prec@5 86.719 (80.727) Epoch: [41][8680/10010] Time 0.316 (0.327) Data 0.001 (0.001) Loss 1.8598 (1.8106) Prec@1 57.031 (58.902) Prec@5 79.688 (80.728) Epoch: [41][8690/10010] Time 0.315 (0.327) Data 0.001 (0.001) Loss 1.9189 (1.8106) Prec@1 53.906 (58.901) Prec@5 78.906 (80.728) Epoch: [41][8700/10010] Time 0.337 (0.327) Data 0.000 (0.001) Loss 1.7208 (1.8106) Prec@1 57.812 (58.900) Prec@5 79.688 (80.728) Epoch: [41][8710/10010] Time 0.313 (0.327) Data 0.001 (0.001) Loss 1.7037 (1.8104) Prec@1 59.375 (58.901) Prec@5 82.812 (80.730) Epoch: [41][8720/10010] Time 0.340 (0.327) Data 0.001 (0.001) Loss 1.7023 (1.8104) Prec@1 56.250 (58.903) Prec@5 84.375 (80.730) Epoch: [41][8730/10010] Time 0.330 (0.327) Data 0.001 (0.001) Loss 1.8606 (1.8105) Prec@1 60.938 (58.901) Prec@5 78.906 (80.729) Epoch: [41][8740/10010] Time 0.319 (0.327) Data 0.001 (0.001) Loss 1.7260 (1.8105) Prec@1 65.625 (58.900) Prec@5 82.812 (80.730) Epoch: [41][8750/10010] Time 0.323 (0.327) Data 0.001 (0.001) Loss 1.8660 (1.8105) Prec@1 53.906 (58.901) Prec@5 78.125 (80.730) Epoch: [41][8760/10010] Time 0.318 (0.327) Data 0.001 (0.001) Loss 1.7522 (1.8105) Prec@1 60.938 (58.899) Prec@5 82.031 (80.729) Epoch: [41][8770/10010] Time 0.338 (0.327) Data 0.001 (0.001) Loss 2.0101 (1.8106) Prec@1 57.031 (58.897) Prec@5 73.438 (80.727) Epoch: [41][8780/10010] Time 0.335 (0.327) Data 0.001 (0.001) Loss 1.6141 (1.8105) Prec@1 59.375 (58.897) Prec@5 83.594 (80.730) Epoch: [41][8790/10010] Time 0.334 (0.327) Data 0.001 (0.001) Loss 1.8333 (1.8106) Prec@1 54.688 (58.897) Prec@5 77.344 (80.729) Epoch: [41][8800/10010] Time 0.334 (0.327) Data 0.001 (0.001) Loss 1.6430 (1.8105) Prec@1 60.156 (58.897) Prec@5 82.812 (80.729) Epoch: [41][8810/10010] Time 0.331 (0.327) Data 0.001 (0.001) Loss 2.0592 (1.8105) Prec@1 55.469 (58.895) Prec@5 71.875 (80.726) Epoch: [41][8820/10010] Time 0.333 (0.327) Data 0.001 (0.001) Loss 1.9079 (1.8106) Prec@1 56.250 (58.897) Prec@5 81.250 (80.725) Epoch: [41][8830/10010] Time 0.319 (0.327) Data 0.001 (0.001) Loss 1.8733 (1.8105) Prec@1 53.125 (58.897) Prec@5 78.906 (80.726) Epoch: [41][8840/10010] Time 0.332 (0.327) Data 0.001 (0.001) Loss 1.5691 (1.8105) Prec@1 65.625 (58.898) Prec@5 84.375 (80.725) Epoch: [41][8850/10010] Time 0.321 (0.327) Data 0.000 (0.001) Loss 1.9185 (1.8106) Prec@1 59.375 (58.897) Prec@5 78.906 (80.724) Epoch: [41][8860/10010] Time 0.315 (0.327) Data 0.001 (0.001) Loss 1.9728 (1.8105) Prec@1 57.812 (58.898) Prec@5 78.125 (80.724) Epoch: [41][8870/10010] Time 0.315 (0.327) Data 0.001 (0.001) Loss 1.7457 (1.8106) Prec@1 59.375 (58.898) Prec@5 81.250 (80.725) Epoch: [41][8880/10010] Time 0.316 (0.327) Data 0.001 (0.001) Loss 1.5035 (1.8105) Prec@1 63.281 (58.898) Prec@5 85.156 (80.726) Epoch: [41][8890/10010] Time 0.326 (0.327) Data 0.001 (0.001) Loss 1.6139 (1.8105) Prec@1 60.938 (58.899) Prec@5 87.500 (80.727) Epoch: [41][8900/10010] Time 0.324 (0.327) Data 0.001 (0.001) Loss 1.7413 (1.8105) Prec@1 60.156 (58.899) Prec@5 82.031 (80.727) Epoch: [41][8910/10010] Time 0.337 (0.327) Data 0.000 (0.001) Loss 1.8076 (1.8104) Prec@1 56.250 (58.900) Prec@5 84.375 (80.728) Epoch: [41][8920/10010] Time 0.322 (0.327) Data 0.001 (0.001) Loss 1.8870 (1.8104) Prec@1 57.031 (58.901) Prec@5 75.781 (80.728) Epoch: [41][8930/10010] Time 0.325 (0.327) Data 0.000 (0.001) Loss 1.8944 (1.8105) Prec@1 54.688 (58.898) Prec@5 80.469 (80.727) Epoch: [41][8940/10010] Time 0.331 (0.327) Data 0.001 (0.001) Loss 1.9527 (1.8105) Prec@1 57.031 (58.898) Prec@5 78.906 (80.728) Epoch: [41][8950/10010] Time 0.330 (0.327) Data 0.001 (0.001) Loss 1.6091 (1.8105) Prec@1 62.500 (58.899) Prec@5 85.156 (80.727) Epoch: [41][8960/10010] Time 0.325 (0.327) Data 0.000 (0.001) Loss 1.5792 (1.8105) Prec@1 62.500 (58.900) Prec@5 85.156 (80.725) Epoch: [41][8970/10010] Time 0.336 (0.327) Data 0.001 (0.001) Loss 1.8244 (1.8105) Prec@1 56.250 (58.900) Prec@5 82.812 (80.725) Epoch: [41][8980/10010] Time 0.318 (0.327) Data 0.000 (0.001) Loss 2.2376 (1.8106) Prec@1 51.562 (58.899) Prec@5 72.656 (80.725) Epoch: [41][8990/10010] Time 0.310 (0.327) Data 0.001 (0.001) Loss 1.9799 (1.8106) Prec@1 57.031 (58.897) Prec@5 78.125 (80.726) Epoch: [41][9000/10010] Time 0.318 (0.327) Data 0.001 (0.001) Loss 1.5636 (1.8106) Prec@1 63.281 (58.896) Prec@5 83.594 (80.727) Epoch: [41][9010/10010] Time 0.322 (0.327) Data 0.001 (0.001) Loss 1.7866 (1.8106) Prec@1 58.594 (58.896) Prec@5 81.250 (80.729) Epoch: [41][9020/10010] Time 0.322 (0.327) Data 0.001 (0.001) Loss 1.9584 (1.8105) Prec@1 53.125 (58.896) Prec@5 78.125 (80.730) Epoch: [41][9030/10010] Time 0.324 (0.327) Data 0.001 (0.001) Loss 1.9170 (1.8105) Prec@1 60.938 (58.896) Prec@5 80.469 (80.729) Epoch: [41][9040/10010] Time 0.335 (0.327) Data 0.001 (0.001) Loss 1.8268 (1.8106) Prec@1 60.156 (58.895) Prec@5 81.250 (80.729) Epoch: [41][9050/10010] Time 0.341 (0.327) Data 0.001 (0.001) Loss 1.9531 (1.8105) Prec@1 53.906 (58.894) Prec@5 77.344 (80.729) Epoch: [41][9060/10010] Time 0.338 (0.327) Data 0.000 (0.001) Loss 1.9820 (1.8105) Prec@1 56.250 (58.895) Prec@5 81.250 (80.729) Epoch: [41][9070/10010] Time 0.340 (0.327) Data 0.000 (0.001) Loss 1.7849 (1.8105) Prec@1 62.500 (58.894) Prec@5 82.031 (80.728) Epoch: [41][9080/10010] Time 0.332 (0.327) Data 0.001 (0.001) Loss 1.9348 (1.8105) Prec@1 55.469 (58.896) Prec@5 78.125 (80.729) Epoch: [41][9090/10010] Time 0.335 (0.327) Data 0.001 (0.001) Loss 1.7504 (1.8105) Prec@1 56.250 (58.896) Prec@5 80.469 (80.728) Epoch: [41][9100/10010] Time 0.315 (0.327) Data 0.001 (0.001) Loss 1.7983 (1.8104) Prec@1 60.938 (58.897) Prec@5 78.125 (80.729) Epoch: [41][9110/10010] Time 0.328 (0.327) Data 0.001 (0.001) Loss 1.7074 (1.8105) Prec@1 61.719 (58.895) Prec@5 82.031 (80.727) Epoch: [41][9120/10010] Time 0.338 (0.327) Data 0.001 (0.001) Loss 1.7634 (1.8106) Prec@1 60.156 (58.894) Prec@5 82.031 (80.728) Epoch: [41][9130/10010] Time 0.337 (0.327) Data 0.000 (0.001) Loss 1.8012 (1.8106) Prec@1 58.594 (58.894) Prec@5 81.250 (80.727) Epoch: [41][9140/10010] Time 0.330 (0.327) Data 0.001 (0.001) Loss 1.7228 (1.8107) Prec@1 59.375 (58.895) Prec@5 81.250 (80.726) Epoch: [41][9150/10010] Time 0.331 (0.327) Data 0.000 (0.001) Loss 1.3939 (1.8106) Prec@1 66.406 (58.897) Prec@5 86.719 (80.728) Epoch: [41][9160/10010] Time 0.332 (0.327) Data 0.001 (0.001) Loss 1.9827 (1.8105) Prec@1 59.375 (58.899) Prec@5 80.469 (80.726) Epoch: [41][9170/10010] Time 0.327 (0.327) Data 0.001 (0.001) Loss 1.7525 (1.8105) Prec@1 55.469 (58.898) Prec@5 79.688 (80.726) Epoch: [41][9180/10010] Time 0.322 (0.327) Data 0.001 (0.001) Loss 1.7424 (1.8104) Prec@1 55.469 (58.899) Prec@5 82.812 (80.729) Epoch: [41][9190/10010] Time 0.342 (0.327) Data 0.001 (0.001) Loss 1.6913 (1.8104) Prec@1 64.844 (58.899) Prec@5 85.938 (80.730) Epoch: [41][9200/10010] Time 0.336 (0.327) Data 0.001 (0.001) Loss 2.1387 (1.8104) Prec@1 54.688 (58.900) Prec@5 78.125 (80.731) Epoch: [41][9210/10010] Time 0.339 (0.327) Data 0.001 (0.001) Loss 1.7668 (1.8104) Prec@1 59.375 (58.899) Prec@5 78.125 (80.729) Epoch: [41][9220/10010] Time 0.319 (0.327) Data 0.001 (0.001) Loss 1.6695 (1.8106) Prec@1 62.500 (58.896) Prec@5 82.812 (80.728) Epoch: [41][9230/10010] Time 0.342 (0.327) Data 0.000 (0.001) Loss 1.5222 (1.8105) Prec@1 61.719 (58.897) Prec@5 87.500 (80.728) Epoch: [41][9240/10010] Time 0.315 (0.327) Data 0.001 (0.001) Loss 1.9260 (1.8106) Prec@1 58.594 (58.896) Prec@5 76.562 (80.725) Epoch: [41][9250/10010] Time 0.338 (0.327) Data 0.001 (0.001) Loss 2.1415 (1.8107) Prec@1 50.781 (58.893) Prec@5 77.344 (80.726) Epoch: [41][9260/10010] Time 0.339 (0.327) Data 0.000 (0.001) Loss 1.7898 (1.8107) Prec@1 57.812 (58.891) Prec@5 82.031 (80.724) Epoch: [41][9270/10010] Time 0.327 (0.327) Data 0.001 (0.001) Loss 1.8693 (1.8107) Prec@1 55.469 (58.891) Prec@5 78.125 (80.724) Epoch: [41][9280/10010] Time 0.332 (0.327) Data 0.001 (0.001) Loss 1.8059 (1.8107) Prec@1 60.938 (58.891) Prec@5 80.469 (80.725) Epoch: [41][9290/10010] Time 0.320 (0.327) Data 0.000 (0.001) Loss 2.0730 (1.8107) Prec@1 55.469 (58.891) Prec@5 81.250 (80.725) Epoch: [41][9300/10010] Time 0.337 (0.327) Data 0.001 (0.001) Loss 2.0566 (1.8108) Prec@1 55.469 (58.891) Prec@5 78.906 (80.724) Epoch: [41][9310/10010] Time 0.336 (0.327) Data 0.001 (0.001) Loss 1.7776 (1.8109) Prec@1 63.281 (58.889) Prec@5 80.469 (80.723) Epoch: [41][9320/10010] Time 0.323 (0.327) Data 0.001 (0.001) Loss 1.8135 (1.8109) Prec@1 60.938 (58.890) Prec@5 75.781 (80.722) Epoch: [41][9330/10010] Time 0.339 (0.327) Data 0.001 (0.001) Loss 1.9040 (1.8108) Prec@1 51.562 (58.892) Prec@5 80.469 (80.722) Epoch: [41][9340/10010] Time 0.316 (0.327) Data 0.001 (0.001) Loss 1.7667 (1.8108) Prec@1 60.938 (58.892) Prec@5 82.031 (80.723) Epoch: [41][9350/10010] Time 0.323 (0.327) Data 0.000 (0.001) Loss 1.4500 (1.8108) Prec@1 66.406 (58.894) Prec@5 88.281 (80.723) Epoch: [41][9360/10010] Time 0.324 (0.327) Data 0.001 (0.001) Loss 2.0044 (1.8109) Prec@1 53.906 (58.892) Prec@5 78.125 (80.722) Epoch: [41][9370/10010] Time 0.338 (0.327) Data 0.001 (0.001) Loss 1.8145 (1.8110) Prec@1 60.156 (58.888) Prec@5 80.469 (80.719) Epoch: [41][9380/10010] Time 0.330 (0.327) Data 0.001 (0.001) Loss 1.7617 (1.8111) Prec@1 57.031 (58.887) Prec@5 79.688 (80.719) Epoch: [41][9390/10010] Time 0.339 (0.327) Data 0.000 (0.001) Loss 1.6882 (1.8111) Prec@1 63.281 (58.886) Prec@5 87.500 (80.718) Epoch: [41][9400/10010] Time 0.325 (0.327) Data 0.001 (0.001) Loss 2.4157 (1.8111) Prec@1 48.438 (58.886) Prec@5 73.438 (80.719) Epoch: [41][9410/10010] Time 0.334 (0.327) Data 0.001 (0.001) Loss 1.9510 (1.8112) Prec@1 54.688 (58.885) Prec@5 78.906 (80.717) Epoch: [41][9420/10010] Time 0.343 (0.327) Data 0.001 (0.001) Loss 1.8627 (1.8111) Prec@1 58.594 (58.888) Prec@5 78.125 (80.718) Epoch: [41][9430/10010] Time 0.320 (0.327) Data 0.001 (0.001) Loss 1.6157 (1.8111) Prec@1 59.375 (58.888) Prec@5 83.594 (80.717) Epoch: [41][9440/10010] Time 0.341 (0.327) Data 0.001 (0.001) Loss 1.5023 (1.8112) Prec@1 63.281 (58.887) Prec@5 84.375 (80.716) Epoch: [41][9450/10010] Time 0.333 (0.327) Data 0.001 (0.001) Loss 1.6645 (1.8113) Prec@1 62.500 (58.886) Prec@5 82.031 (80.714) Epoch: [41][9460/10010] Time 0.338 (0.327) Data 0.001 (0.001) Loss 1.6180 (1.8113) Prec@1 62.500 (58.886) Prec@5 85.938 (80.714) Epoch: [41][9470/10010] Time 0.321 (0.327) Data 0.001 (0.001) Loss 1.5432 (1.8113) Prec@1 63.281 (58.884) Prec@5 85.938 (80.715) Epoch: [41][9480/10010] Time 0.334 (0.327) Data 0.004 (0.001) Loss 1.7626 (1.8114) Prec@1 60.938 (58.883) Prec@5 82.812 (80.715) Epoch: [41][9490/10010] Time 0.334 (0.327) Data 0.001 (0.001) Loss 1.6707 (1.8113) Prec@1 60.938 (58.883) Prec@5 82.031 (80.715) Epoch: [41][9500/10010] Time 0.328 (0.327) Data 0.001 (0.001) Loss 1.8924 (1.8113) Prec@1 58.594 (58.885) Prec@5 75.781 (80.714) Epoch: [41][9510/10010] Time 0.341 (0.327) Data 0.000 (0.001) Loss 1.7192 (1.8114) Prec@1 64.062 (58.883) Prec@5 79.688 (80.712) Epoch: [41][9520/10010] Time 0.322 (0.327) Data 0.001 (0.001) Loss 1.7937 (1.8114) Prec@1 60.938 (58.883) Prec@5 82.031 (80.711) Epoch: [41][9530/10010] Time 0.327 (0.327) Data 0.001 (0.001) Loss 1.6294 (1.8114) Prec@1 61.719 (58.883) Prec@5 83.594 (80.710) Epoch: [41][9540/10010] Time 0.330 (0.327) Data 0.001 (0.001) Loss 1.9625 (1.8116) Prec@1 53.906 (58.881) Prec@5 74.219 (80.707) Epoch: [41][9550/10010] Time 0.320 (0.327) Data 0.001 (0.001) Loss 2.0019 (1.8116) Prec@1 57.812 (58.881) Prec@5 77.344 (80.707) Epoch: [41][9560/10010] Time 0.333 (0.327) Data 0.000 (0.001) Loss 1.8397 (1.8117) Prec@1 57.812 (58.879) Prec@5 78.125 (80.706) Epoch: [41][9570/10010] Time 0.342 (0.327) Data 0.001 (0.001) Loss 1.9248 (1.8118) Prec@1 53.125 (58.878) Prec@5 80.469 (80.705) Epoch: [41][9580/10010] Time 0.320 (0.327) Data 0.001 (0.001) Loss 1.9328 (1.8119) Prec@1 60.156 (58.878) Prec@5 77.344 (80.705) Epoch: [41][9590/10010] Time 0.325 (0.327) Data 0.001 (0.001) Loss 2.0764 (1.8120) Prec@1 54.688 (58.877) Prec@5 73.438 (80.703) Epoch: [41][9600/10010] Time 0.329 (0.327) Data 0.001 (0.001) Loss 1.9179 (1.8120) Prec@1 62.500 (58.878) Prec@5 77.344 (80.704) Epoch: [41][9610/10010] Time 0.335 (0.327) Data 0.001 (0.001) Loss 1.6771 (1.8120) Prec@1 63.281 (58.880) Prec@5 83.594 (80.705) Epoch: [41][9620/10010] Time 0.326 (0.327) Data 0.001 (0.001) Loss 2.0753 (1.8120) Prec@1 59.375 (58.880) Prec@5 75.000 (80.704) Epoch: [41][9630/10010] Time 0.337 (0.327) Data 0.001 (0.001) Loss 1.8965 (1.8120) Prec@1 57.031 (58.880) Prec@5 78.125 (80.704) Epoch: [41][9640/10010] Time 0.311 (0.327) Data 0.001 (0.001) Loss 1.8898 (1.8120) Prec@1 58.594 (58.878) Prec@5 80.469 (80.703) Epoch: [41][9650/10010] Time 0.324 (0.327) Data 0.001 (0.001) Loss 1.8807 (1.8120) Prec@1 57.812 (58.879) Prec@5 78.125 (80.704) Epoch: [41][9660/10010] Time 0.314 (0.327) Data 0.001 (0.001) Loss 1.9900 (1.8120) Prec@1 54.688 (58.878) Prec@5 78.125 (80.703) Epoch: [41][9670/10010] Time 0.325 (0.327) Data 0.001 (0.001) Loss 1.6786 (1.8120) Prec@1 61.719 (58.879) Prec@5 85.156 (80.705) Epoch: [41][9680/10010] Time 0.323 (0.327) Data 0.001 (0.001) Loss 1.8559 (1.8120) Prec@1 58.594 (58.880) Prec@5 84.375 (80.705) Epoch: [41][9690/10010] Time 0.325 (0.327) Data 0.001 (0.001) Loss 1.8092 (1.8120) Prec@1 60.938 (58.881) Prec@5 82.812 (80.707) Epoch: [41][9700/10010] Time 0.338 (0.327) Data 0.000 (0.001) Loss 1.5021 (1.8121) Prec@1 67.969 (58.879) Prec@5 88.281 (80.705) Epoch: [41][9710/10010] Time 0.335 (0.327) Data 0.001 (0.001) Loss 2.0497 (1.8121) Prec@1 54.688 (58.879) Prec@5 76.562 (80.705) Epoch: [41][9720/10010] Time 0.332 (0.327) Data 0.001 (0.001) Loss 1.8784 (1.8121) Prec@1 54.688 (58.878) Prec@5 78.125 (80.704) Epoch: [41][9730/10010] Time 0.324 (0.327) Data 0.001 (0.001) Loss 1.7154 (1.8121) Prec@1 59.375 (58.876) Prec@5 82.031 (80.704) Epoch: [41][9740/10010] Time 0.314 (0.327) Data 0.001 (0.001) Loss 1.6076 (1.8121) Prec@1 62.500 (58.875) Prec@5 84.375 (80.704) Epoch: [41][9750/10010] Time 0.316 (0.327) Data 0.000 (0.001) Loss 2.0995 (1.8120) Prec@1 50.000 (58.875) Prec@5 76.562 (80.706) Epoch: [41][9760/10010] Time 0.315 (0.327) Data 0.001 (0.001) Loss 1.8353 (1.8120) Prec@1 53.906 (58.873) Prec@5 82.812 (80.707) Epoch: [41][9770/10010] Time 0.320 (0.327) Data 0.001 (0.001) Loss 1.8972 (1.8120) Prec@1 54.688 (58.874) Prec@5 82.031 (80.707) Epoch: [41][9780/10010] Time 0.331 (0.327) Data 0.001 (0.001) Loss 2.0576 (1.8120) Prec@1 56.250 (58.874) Prec@5 79.688 (80.708) Epoch: [41][9790/10010] Time 0.334 (0.327) Data 0.000 (0.001) Loss 1.7717 (1.8120) Prec@1 59.375 (58.872) Prec@5 83.594 (80.708) Epoch: [41][9800/10010] Time 0.319 (0.327) Data 0.001 (0.001) Loss 1.9317 (1.8121) Prec@1 55.469 (58.870) Prec@5 80.469 (80.705) Epoch: [41][9810/10010] Time 0.333 (0.327) Data 0.001 (0.001) Loss 2.0457 (1.8122) Prec@1 48.438 (58.871) Prec@5 80.469 (80.704) Epoch: [41][9820/10010] Time 0.327 (0.327) Data 0.001 (0.001) Loss 1.5640 (1.8122) Prec@1 64.844 (58.869) Prec@5 85.156 (80.705) Epoch: [41][9830/10010] Time 0.320 (0.327) Data 0.001 (0.001) Loss 2.0013 (1.8121) Prec@1 56.250 (58.869) Prec@5 77.344 (80.706) Epoch: [41][9840/10010] Time 0.327 (0.327) Data 0.001 (0.001) Loss 1.9079 (1.8122) Prec@1 52.344 (58.867) Prec@5 82.031 (80.705) Epoch: [41][9850/10010] Time 0.322 (0.327) Data 0.001 (0.001) Loss 1.7546 (1.8123) Prec@1 57.812 (58.864) Prec@5 85.156 (80.704) Epoch: [41][9860/10010] Time 0.321 (0.327) Data 0.001 (0.001) Loss 1.4969 (1.8124) Prec@1 63.281 (58.864) Prec@5 85.156 (80.705) Epoch: [41][9870/10010] Time 0.331 (0.327) Data 0.001 (0.001) Loss 1.7058 (1.8123) Prec@1 63.281 (58.866) Prec@5 82.031 (80.707) Epoch: [41][9880/10010] Time 0.348 (0.327) Data 0.001 (0.001) Loss 2.1313 (1.8123) Prec@1 56.250 (58.865) Prec@5 74.219 (80.707) Epoch: [41][9890/10010] Time 0.319 (0.327) Data 0.000 (0.001) Loss 1.7139 (1.8124) Prec@1 60.156 (58.864) Prec@5 80.469 (80.705) Epoch: [41][9900/10010] Time 0.332 (0.327) Data 0.001 (0.001) Loss 1.9584 (1.8124) Prec@1 51.562 (58.864) Prec@5 77.344 (80.704) Epoch: [41][9910/10010] Time 0.325 (0.327) Data 0.000 (0.001) Loss 1.6176 (1.8124) Prec@1 60.938 (58.863) Prec@5 85.938 (80.705) Epoch: [41][9920/10010] Time 0.307 (0.327) Data 0.001 (0.001) Loss 1.8316 (1.8124) Prec@1 60.938 (58.861) Prec@5 81.250 (80.705) Epoch: [41][9930/10010] Time 0.318 (0.327) Data 0.001 (0.001) Loss 2.1009 (1.8124) Prec@1 53.125 (58.861) Prec@5 78.906 (80.705) Epoch: [41][9940/10010] Time 0.331 (0.327) Data 0.001 (0.001) Loss 1.7521 (1.8124) Prec@1 55.469 (58.860) Prec@5 82.031 (80.705) Epoch: [41][9950/10010] Time 0.342 (0.327) Data 0.000 (0.001) Loss 1.6193 (1.8122) Prec@1 61.719 (58.861) Prec@5 84.375 (80.707) Epoch: [41][9960/10010] Time 0.327 (0.327) Data 0.001 (0.001) Loss 1.9806 (1.8123) Prec@1 53.125 (58.858) Prec@5 76.562 (80.706) Epoch: [41][9970/10010] Time 0.336 (0.327) Data 0.001 (0.001) Loss 1.5738 (1.8123) Prec@1 64.844 (58.859) Prec@5 85.156 (80.707) Epoch: [41][9980/10010] Time 0.328 (0.327) Data 0.000 (0.001) Loss 1.9598 (1.8125) Prec@1 56.250 (58.856) Prec@5 78.906 (80.704) Epoch: [41][9990/10010] Time 0.341 (0.327) Data 0.001 (0.001) Loss 1.7897 (1.8125) Prec@1 64.062 (58.856) Prec@5 78.125 (80.703) Epoch: [41][10000/10010] Time 0.333 (0.327) Data 0.000 (0.001) Loss 2.1876 (1.8126) Prec@1 53.125 (58.855) Prec@5 76.562 (80.703) Test: [0/391] Time 1.234 (1.234) Loss 0.7584 (0.7584) Prec@1 82.812 (82.812) Prec@5 92.188 (92.188) Test: [10/391] Time 0.099 (0.205) Loss 1.3602 (0.7991) Prec@1 68.750 (80.540) Prec@5 88.281 (93.963) Test: [20/391] Time 0.112 (0.157) Loss 1.0518 (1.1887) Prec@1 71.875 (70.908) Prec@5 89.844 (88.876) Test: [30/391] Time 0.100 (0.140) Loss 1.7198 (1.3161) Prec@1 60.156 (66.734) Prec@5 85.156 (88.180) Test: [40/391] Time 0.109 (0.133) Loss 1.3574 (1.1840) Prec@1 72.656 (70.103) Prec@5 85.938 (89.482) Test: [50/391] Time 0.112 (0.130) Loss 0.7771 (1.2110) Prec@1 75.781 (69.700) Prec@5 95.312 (89.108) Test: [60/391] Time 0.104 (0.126) Loss 1.0905 (1.1436) Prec@1 71.875 (71.337) Prec@5 89.844 (89.831) Test: [70/391] Time 0.106 (0.123) Loss 1.5523 (1.1802) Prec@1 56.250 (70.059) Prec@5 92.188 (89.778) Test: [80/391] Time 0.105 (0.121) Loss 1.1394 (1.2064) Prec@1 71.094 (68.914) Prec@5 89.062 (89.805) Test: [90/391] Time 0.107 (0.120) Loss 1.2866 (1.2070) Prec@1 54.688 (68.793) Prec@5 89.844 (89.887) Test: [100/391] Time 0.103 (0.120) Loss 0.8994 (1.1987) Prec@1 78.906 (68.750) Prec@5 92.969 (90.145) Test: [110/391] Time 0.103 (0.119) Loss 1.5030 (1.2016) Prec@1 52.344 (68.581) Prec@5 91.406 (90.322) Test: [120/391] Time 0.104 (0.118) Loss 1.0629 (1.1955) Prec@1 68.750 (68.879) Prec@5 93.750 (90.457) Test: [130/391] Time 0.104 (0.117) Loss 0.7609 (1.1886) Prec@1 81.250 (69.197) Prec@5 96.094 (90.512) Test: [140/391] Time 0.103 (0.117) Loss 1.4679 (1.1905) Prec@1 62.500 (69.149) Prec@5 89.062 (90.542) Test: [150/391] Time 0.106 (0.116) Loss 1.0776 (1.1921) Prec@1 64.844 (69.216) Prec@5 92.188 (90.454) Test: [160/391] Time 0.108 (0.115) Loss 1.4776 (1.1967) Prec@1 60.156 (69.250) Prec@5 86.719 (90.358) Test: [170/391] Time 0.107 (0.114) Loss 1.8974 (1.2328) Prec@1 60.156 (68.741) Prec@5 82.812 (89.803) Test: [180/391] Time 0.108 (0.114) Loss 2.2712 (1.2687) Prec@1 49.219 (68.064) Prec@5 75.781 (89.313) Test: [190/391] Time 0.102 (0.114) Loss 2.2557 (1.3044) Prec@1 53.906 (67.372) Prec@5 79.688 (88.776) Test: [200/391] Time 0.110 (0.113) Loss 1.5386 (1.3353) Prec@1 57.031 (66.775) Prec@5 89.062 (88.367) Test: [210/391] Time 0.112 (0.113) Loss 1.5900 (1.3548) Prec@1 66.406 (66.403) Prec@5 85.938 (88.141) Test: [220/391] Time 0.105 (0.113) Loss 1.0194 (1.3654) Prec@1 75.000 (66.275) Prec@5 90.625 (87.924) Test: [230/391] Time 0.104 (0.112) Loss 2.8169 (1.3828) Prec@1 35.938 (65.956) Prec@5 66.406 (87.669) Test: [240/391] Time 0.106 (0.113) Loss 2.0438 (1.3935) Prec@1 62.500 (65.926) Prec@5 78.125 (87.477) Test: [250/391] Time 0.104 (0.112) Loss 0.9951 (1.4194) Prec@1 75.000 (65.373) Prec@5 90.625 (87.133) Test: [260/391] Time 0.109 (0.112) Loss 1.8420 (1.4364) Prec@1 58.594 (65.005) Prec@5 82.812 (86.919) Test: [270/391] Time 0.108 (0.112) Loss 2.3718 (1.4487) Prec@1 39.844 (64.737) Prec@5 78.125 (86.687) Test: [280/391] Time 0.109 (0.112) Loss 1.7002 (1.4625) Prec@1 55.469 (64.496) Prec@5 85.938 (86.513) Test: [290/391] Time 0.101 (0.112) Loss 2.2325 (1.4814) Prec@1 44.531 (64.170) Prec@5 75.781 (86.174) Test: [300/391] Time 0.106 (0.111) Loss 1.6906 (1.4919) Prec@1 66.406 (64.047) Prec@5 84.375 (86.018) Test: [310/391] Time 0.103 (0.111) Loss 1.8292 (1.5057) Prec@1 64.062 (63.816) Prec@5 78.906 (85.814) Test: [320/391] Time 0.109 (0.111) Loss 0.9380 (1.5116) Prec@1 79.688 (63.693) Prec@5 92.188 (85.743) Test: [330/391] Time 0.099 (0.111) Loss 2.0664 (1.5315) Prec@1 58.594 (63.281) Prec@5 74.219 (85.439) Test: [340/391] Time 0.107 (0.111) Loss 1.2384 (1.5393) Prec@1 62.500 (63.057) Prec@5 92.188 (85.326) Test: [350/391] Time 0.101 (0.111) Loss 1.6577 (1.5450) Prec@1 65.625 (62.987) Prec@5 85.938 (85.219) Test: [360/391] Time 0.104 (0.111) Loss 1.8240 (1.5534) Prec@1 50.000 (62.803) Prec@5 82.031 (85.141) Test: [370/391] Time 0.100 (0.111) Loss 1.6178 (1.5517) Prec@1 54.688 (62.818) Prec@5 89.844 (85.167) Test: [380/391] Time 0.097 (0.110) Loss 1.1600 (1.5566) Prec@1 71.875 (62.754) Prec@5 92.969 (85.084) Test: [390/391] Time 0.067 (0.110) Loss 2.4437 (1.5500) Prec@1 43.750 (62.902) Prec@5 76.250 (85.158) * Prec@1 62.902 Prec@5 85.158 Epoch: [42][0/10010] Time 2.693 (2.693) Data 2.506 (2.506) Loss 1.9201 (1.9201) Prec@1 57.812 (57.812) Prec@5 75.781 (75.781) Epoch: [42][10/10010] Time 0.316 (0.532) Data 0.000 (0.228) Loss 2.2384 (1.8254) Prec@1 49.219 (57.812) Prec@5 72.656 (79.830) Epoch: [42][20/10010] Time 0.312 (0.430) Data 0.000 (0.120) Loss 1.5712 (1.8305) Prec@1 56.250 (57.552) Prec@5 84.375 (79.874) Epoch: [42][30/10010] Time 0.306 (0.393) Data 0.001 (0.081) Loss 1.8831 (1.8125) Prec@1 60.938 (58.266) Prec@5 77.344 (80.166) Epoch: [42][40/10010] Time 0.325 (0.375) Data 0.000 (0.062) Loss 1.6851 (1.8248) Prec@1 61.719 (58.518) Prec@5 85.156 (80.373) Epoch: [42][50/10010] Time 0.340 (0.364) Data 0.001 (0.050) Loss 1.7254 (1.8151) Prec@1 57.031 (58.609) Prec@5 82.812 (80.561) Epoch: [42][60/10010] Time 0.326 (0.359) Data 0.000 (0.042) Loss 1.9417 (1.8165) Prec@1 54.688 (58.747) Prec@5 78.125 (80.546) Epoch: [42][70/10010] Time 0.330 (0.354) Data 0.001 (0.036) Loss 1.6015 (1.8136) Prec@1 60.938 (58.627) Prec@5 82.031 (80.546) Epoch: [42][80/10010] Time 0.330 (0.351) Data 0.000 (0.032) Loss 1.7782 (1.8142) Prec@1 57.812 (58.709) Prec@5 85.156 (80.478) Epoch: [42][90/10010] Time 0.334 (0.349) Data 0.001 (0.028) Loss 1.9231 (1.8043) Prec@1 56.250 (58.757) Prec@5 80.469 (80.683) Epoch: [42][100/10010] Time 0.339 (0.348) Data 0.000 (0.025) Loss 1.7471 (1.8096) Prec@1 63.281 (58.617) Prec@5 78.906 (80.507) Epoch: [42][110/10010] Time 0.317 (0.346) Data 0.001 (0.023) Loss 1.7386 (1.8047) Prec@1 59.375 (58.749) Prec@5 82.031 (80.624) Epoch: [42][120/10010] Time 0.335 (0.345) Data 0.000 (0.021) Loss 1.7132 (1.8029) Prec@1 57.031 (58.762) Prec@5 81.250 (80.688) Epoch: [42][130/10010] Time 0.338 (0.344) Data 0.000 (0.020) Loss 1.7672 (1.7971) Prec@1 60.156 (58.844) Prec@5 81.250 (80.868) Epoch: [42][140/10010] Time 0.338 (0.343) Data 0.000 (0.018) Loss 2.1410 (1.7933) Prec@1 46.094 (58.976) Prec@5 77.344 (80.884) Epoch: [42][150/10010] Time 0.323 (0.342) Data 0.000 (0.017) Loss 1.7475 (1.7945) Prec@1 63.281 (58.920) Prec@5 77.344 (80.795) Epoch: [42][160/10010] Time 0.320 (0.342) Data 0.001 (0.016) Loss 1.8580 (1.7983) Prec@1 55.469 (58.812) Prec@5 78.125 (80.711) Epoch: [42][170/10010] Time 0.336 (0.341) Data 0.000 (0.015) Loss 1.6448 (1.7955) Prec@1 62.500 (58.895) Prec@5 79.688 (80.711) Epoch: [42][180/10010] Time 0.317 (0.340) Data 0.001 (0.014) Loss 1.8243 (1.7972) Prec@1 57.031 (58.792) Prec@5 78.125 (80.667) Epoch: [42][190/10010] Time 0.334 (0.340) Data 0.000 (0.014) Loss 2.0272 (1.7975) Prec@1 53.906 (58.737) Prec@5 75.781 (80.731) Epoch: [42][200/10010] Time 0.336 (0.340) Data 0.001 (0.013) Loss 1.9160 (1.7978) Prec@1 57.812 (58.815) Prec@5 82.031 (80.694) Epoch: [42][210/10010] Time 0.330 (0.339) Data 0.001 (0.012) Loss 1.9976 (1.7967) Prec@1 56.250 (58.842) Prec@5 79.688 (80.754) Epoch: [42][220/10010] Time 0.332 (0.339) Data 0.001 (0.012) Loss 1.6747 (1.7961) Prec@1 62.500 (58.841) Prec@5 82.031 (80.755) Epoch: [42][230/10010] Time 0.323 (0.338) Data 0.000 (0.011) Loss 1.7878 (1.7953) Prec@1 53.906 (58.834) Prec@5 82.031 (80.864) Epoch: [42][240/10010] Time 0.327 (0.337) Data 0.001 (0.011) Loss 1.9685 (1.7890) Prec@1 55.469 (58.973) Prec@5 78.125 (80.939) Epoch: [42][250/10010] Time 0.338 (0.337) Data 0.001 (0.011) Loss 1.5789 (1.7880) Prec@1 60.938 (59.011) Prec@5 85.938 (80.948) Epoch: [42][260/10010] Time 0.337 (0.337) Data 0.000 (0.010) Loss 1.5528 (1.7861) Prec@1 70.312 (59.055) Prec@5 84.375 (80.987) Epoch: [42][270/10010] Time 0.317 (0.337) Data 0.001 (0.010) Loss 1.7796 (1.7860) Prec@1 56.250 (59.058) Prec@5 81.250 (80.982) Epoch: [42][280/10010] Time 0.321 (0.336) Data 0.001 (0.009) Loss 1.5232 (1.7855) Prec@1 66.406 (59.094) Prec@5 83.594 (81.028) Epoch: [42][290/10010] Time 0.319 (0.336) Data 0.000 (0.009) Loss 1.7405 (1.7884) Prec@1 58.594 (59.085) Prec@5 84.375 (80.976) Epoch: [42][300/10010] Time 0.334 (0.335) Data 0.001 (0.009) Loss 1.6598 (1.7880) Prec@1 65.625 (59.141) Prec@5 82.031 (80.996) Epoch: [42][310/10010] Time 0.335 (0.335) Data 0.000 (0.009) Loss 1.8015 (1.7863) Prec@1 57.812 (59.177) Prec@5 82.812 (81.036) Epoch: [42][320/10010] Time 0.317 (0.335) Data 0.001 (0.008) Loss 1.8349 (1.7818) Prec@1 51.562 (59.261) Prec@5 82.031 (81.158) Epoch: [42][330/10010] Time 0.324 (0.334) Data 0.000 (0.008) Loss 2.1037 (1.7838) Prec@1 50.781 (59.252) Prec@5 75.000 (81.134) Epoch: [42][340/10010] Time 0.332 (0.334) Data 0.000 (0.008) Loss 1.5647 (1.7845) Prec@1 59.375 (59.251) Prec@5 84.375 (81.151) Epoch: [42][350/10010] Time 0.314 (0.334) Data 0.000 (0.008) Loss 1.4318 (1.7827) Prec@1 61.719 (59.317) Prec@5 84.375 (81.199) Epoch: [42][360/10010] Time 0.315 (0.334) Data 0.001 (0.008) Loss 1.6607 (1.7837) Prec@1 59.375 (59.295) Prec@5 86.719 (81.205) Epoch: [42][370/10010] Time 0.322 (0.334) Data 0.000 (0.007) Loss 2.0275 (1.7848) Prec@1 55.469 (59.287) Prec@5 79.688 (81.168) Epoch: [42][380/10010] Time 0.315 (0.333) Data 0.001 (0.007) Loss 1.7214 (1.7851) Prec@1 60.938 (59.287) Prec@5 82.812 (81.141) Epoch: [42][390/10010] Time 0.332 (0.333) Data 0.001 (0.007) Loss 1.6165 (1.7856) Prec@1 63.281 (59.333) Prec@5 84.375 (81.152) Epoch: [42][400/10010] Time 0.319 (0.333) Data 0.001 (0.007) Loss 1.7727 (1.7877) Prec@1 57.031 (59.295) Prec@5 82.031 (81.118) Epoch: [42][410/10010] Time 0.328 (0.333) Data 0.000 (0.007) Loss 1.8200 (1.7890) Prec@1 57.812 (59.257) Prec@5 82.812 (81.106) Epoch: [42][420/10010] Time 0.316 (0.333) Data 0.001 (0.007) Loss 1.8454 (1.7866) Prec@1 58.594 (59.303) Prec@5 81.250 (81.135) Epoch: [42][430/10010] Time 0.317 (0.333) Data 0.000 (0.006) Loss 1.8650 (1.7862) Prec@1 55.469 (59.292) Prec@5 78.125 (81.123) Epoch: [42][440/10010] Time 0.330 (0.332) Data 0.000 (0.006) Loss 2.1607 (1.7862) Prec@1 53.906 (59.288) Prec@5 78.125 (81.140) Epoch: [42][450/10010] Time 0.312 (0.332) Data 0.001 (0.006) Loss 1.7656 (1.7872) Prec@1 64.062 (59.302) Prec@5 82.031 (81.146) Epoch: [42][460/10010] Time 0.319 (0.332) Data 0.001 (0.006) Loss 1.8916 (1.7874) Prec@1 57.812 (59.280) Prec@5 78.906 (81.130) Epoch: [42][470/10010] Time 0.318 (0.332) Data 0.001 (0.006) Loss 1.9925 (1.7885) Prec@1 57.812 (59.282) Prec@5 80.469 (81.112) Epoch: [42][480/10010] Time 0.325 (0.332) Data 0.001 (0.006) Loss 1.5190 (1.7907) Prec@1 65.625 (59.255) Prec@5 82.031 (81.083) Epoch: [42][490/10010] Time 0.316 (0.332) Data 0.000 (0.006) Loss 1.5149 (1.7884) Prec@1 64.062 (59.287) Prec@5 83.594 (81.112) Epoch: [42][500/10010] Time 0.338 (0.331) Data 0.000 (0.006) Loss 1.8066 (1.7885) Prec@1 60.938 (59.303) Prec@5 79.688 (81.085) Epoch: [42][510/10010] Time 0.321 (0.331) Data 0.001 (0.005) Loss 1.7632 (1.7876) Prec@1 58.594 (59.323) Prec@5 81.250 (81.102) Epoch: [42][520/10010] Time 0.319 (0.331) Data 0.000 (0.005) Loss 1.9970 (1.7877) Prec@1 63.281 (59.350) Prec@5 79.688 (81.099) Epoch: [42][530/10010] Time 0.322 (0.331) Data 0.000 (0.005) Loss 1.6903 (1.7869) Prec@1 59.375 (59.343) Prec@5 82.031 (81.103) Epoch: [42][540/10010] Time 0.334 (0.331) Data 0.001 (0.005) Loss 1.5944 (1.7863) Prec@1 62.500 (59.368) Prec@5 82.812 (81.104) Epoch: [42][550/10010] Time 0.317 (0.331) Data 0.001 (0.005) Loss 1.8441 (1.7860) Prec@1 57.812 (59.358) Prec@5 82.031 (81.127) Epoch: [42][560/10010] Time 0.318 (0.331) Data 0.001 (0.005) Loss 1.6981 (1.7860) Prec@1 59.375 (59.362) Prec@5 81.250 (81.123) Epoch: [42][570/10010] Time 0.329 (0.330) Data 0.000 (0.005) Loss 1.6793 (1.7836) Prec@1 64.062 (59.385) Prec@5 85.156 (81.158) Epoch: [42][580/10010] Time 0.314 (0.330) Data 0.001 (0.005) Loss 2.2038 (1.7838) Prec@1 50.781 (59.370) Prec@5 78.125 (81.165) Epoch: [42][590/10010] Time 0.333 (0.330) Data 0.001 (0.005) Loss 1.8161 (1.7843) Prec@1 58.594 (59.366) Prec@5 81.250 (81.151) Epoch: [42][600/10010] Time 0.321 (0.330) Data 0.000 (0.005) Loss 1.6291 (1.7834) Prec@1 60.156 (59.367) Prec@5 81.250 (81.154) Epoch: [42][610/10010] Time 0.320 (0.330) Data 0.001 (0.005) Loss 1.8465 (1.7831) Prec@1 61.719 (59.356) Prec@5 81.250 (81.157) Epoch: [42][620/10010] Time 0.336 (0.330) Data 0.000 (0.005) Loss 2.0324 (1.7854) Prec@1 55.469 (59.321) Prec@5 77.344 (81.120) Epoch: [42][630/10010] Time 0.319 (0.330) Data 0.001 (0.005) Loss 1.6405 (1.7856) Prec@1 65.625 (59.335) Prec@5 84.375 (81.106) Epoch: [42][640/10010] Time 0.316 (0.330) Data 0.001 (0.004) Loss 1.5506 (1.7848) Prec@1 68.750 (59.380) Prec@5 82.031 (81.116) Epoch: [42][650/10010] Time 0.330 (0.330) Data 0.000 (0.004) Loss 1.5329 (1.7851) Prec@1 63.281 (59.369) Prec@5 87.500 (81.105) Epoch: [42][660/10010] Time 0.314 (0.329) Data 0.000 (0.004) Loss 1.6143 (1.7851) Prec@1 59.375 (59.354) Prec@5 85.938 (81.105) Epoch: [42][670/10010] Time 0.334 (0.329) Data 0.000 (0.004) Loss 1.8442 (1.7864) Prec@1 56.250 (59.333) Prec@5 78.906 (81.086) Epoch: [42][680/10010] Time 0.336 (0.329) Data 0.001 (0.004) Loss 1.8854 (1.7871) Prec@1 57.031 (59.322) Prec@5 78.125 (81.071) Epoch: [42][690/10010] Time 0.334 (0.329) Data 0.000 (0.004) Loss 1.8707 (1.7883) Prec@1 60.938 (59.282) Prec@5 83.594 (81.065) Epoch: [42][700/10010] Time 0.337 (0.329) Data 0.001 (0.004) Loss 1.6482 (1.7889) Prec@1 59.375 (59.272) Prec@5 83.594 (81.043) Epoch: [42][710/10010] Time 0.328 (0.329) Data 0.001 (0.004) Loss 1.9812 (1.7886) Prec@1 52.344 (59.276) Prec@5 78.125 (81.045) Epoch: [42][720/10010] Time 0.334 (0.329) Data 0.001 (0.004) Loss 2.0255 (1.7905) Prec@1 57.812 (59.244) Prec@5 78.125 (81.015) Epoch: [42][730/10010] Time 0.339 (0.329) Data 0.000 (0.004) Loss 1.7740 (1.7906) Prec@1 60.156 (59.238) Prec@5 80.469 (81.013) Epoch: [42][740/10010] Time 0.320 (0.329) Data 0.000 (0.004) Loss 1.7088 (1.7905) Prec@1 60.156 (59.252) Prec@5 79.688 (81.001) Epoch: [42][750/10010] Time 0.331 (0.329) Data 0.000 (0.004) Loss 1.9920 (1.7918) Prec@1 43.750 (59.216) Prec@5 79.688 (80.993) Epoch: [42][760/10010] Time 0.317 (0.329) Data 0.001 (0.004) Loss 1.4759 (1.7935) Prec@1 64.062 (59.184) Prec@5 84.375 (80.962) Epoch: [42][770/10010] Time 0.330 (0.329) Data 0.001 (0.004) Loss 1.8013 (1.7938) Prec@1 57.031 (59.174) Prec@5 79.688 (80.962) Epoch: [42][780/10010] Time 0.337 (0.329) Data 0.001 (0.004) Loss 1.9166 (1.7943) Prec@1 57.812 (59.160) Prec@5 76.562 (80.949) Epoch: [42][790/10010] Time 0.327 (0.329) Data 0.000 (0.004) Loss 1.8638 (1.7949) Prec@1 56.250 (59.156) Prec@5 80.469 (80.939) Epoch: [42][800/10010] Time 0.338 (0.329) Data 0.001 (0.004) Loss 2.1257 (1.7952) Prec@1 53.906 (59.162) Prec@5 77.344 (80.936) Epoch: [42][810/10010] Time 0.312 (0.329) Data 0.001 (0.004) Loss 1.6545 (1.7947) Prec@1 67.969 (59.169) Prec@5 80.469 (80.956) Epoch: [42][820/10010] Time 0.336 (0.329) Data 0.000 (0.004) Loss 2.2399 (1.7963) Prec@1 51.562 (59.148) Prec@5 75.000 (80.931) Epoch: [42][830/10010] Time 0.336 (0.329) Data 0.001 (0.004) Loss 1.8665 (1.7957) Prec@1 54.688 (59.163) Prec@5 82.031 (80.939) Epoch: [42][840/10010] Time 0.312 (0.329) Data 0.001 (0.004) Loss 1.7589 (1.7958) Prec@1 57.812 (59.164) Prec@5 86.719 (80.937) Epoch: [42][850/10010] Time 0.330 (0.329) Data 0.001 (0.004) Loss 1.8538 (1.7960) Prec@1 60.938 (59.163) Prec@5 82.031 (80.924) Epoch: [42][860/10010] Time 0.341 (0.329) Data 0.000 (0.004) Loss 1.7912 (1.7962) Prec@1 60.938 (59.155) Prec@5 81.250 (80.921) Epoch: [42][870/10010] Time 0.320 (0.329) Data 0.000 (0.003) Loss 1.8088 (1.7958) Prec@1 60.156 (59.163) Prec@5 82.812 (80.932) Epoch: [42][880/10010] Time 0.333 (0.329) Data 0.000 (0.003) Loss 1.8416 (1.7955) Prec@1 57.812 (59.166) Prec@5 83.594 (80.942) Epoch: [42][890/10010] Time 0.316 (0.329) Data 0.000 (0.003) Loss 1.3827 (1.7962) Prec@1 71.875 (59.160) Prec@5 86.719 (80.931) Epoch: [42][900/10010] Time 0.323 (0.329) Data 0.001 (0.003) Loss 1.8727 (1.7973) Prec@1 59.375 (59.146) Prec@5 75.781 (80.901) Epoch: [42][910/10010] Time 0.324 (0.329) Data 0.001 (0.003) Loss 1.9644 (1.7971) Prec@1 60.938 (59.143) Prec@5 78.906 (80.909) Epoch: [42][920/10010] Time 0.321 (0.329) Data 0.000 (0.003) Loss 1.8389 (1.7978) Prec@1 54.688 (59.128) Prec@5 80.469 (80.906) Epoch: [42][930/10010] Time 0.320 (0.329) Data 0.000 (0.003) Loss 1.8970 (1.7973) Prec@1 57.812 (59.152) Prec@5 81.250 (80.916) Epoch: [42][940/10010] Time 0.336 (0.329) Data 0.001 (0.003) Loss 1.5814 (1.7963) Prec@1 64.062 (59.171) Prec@5 85.156 (80.926) Epoch: [42][950/10010] Time 0.333 (0.329) Data 0.000 (0.003) Loss 1.4748 (1.7966) Prec@1 61.719 (59.154) Prec@5 83.594 (80.914) Epoch: [42][960/10010] Time 0.317 (0.329) Data 0.000 (0.003) Loss 1.6574 (1.7964) Prec@1 60.938 (59.165) Prec@5 81.250 (80.908) Epoch: [42][970/10010] Time 0.336 (0.329) Data 0.001 (0.003) Loss 2.1118 (1.7962) Prec@1 52.344 (59.174) Prec@5 76.562 (80.910) Epoch: [42][980/10010] Time 0.321 (0.329) Data 0.001 (0.003) Loss 1.5884 (1.7952) Prec@1 64.844 (59.193) Prec@5 86.719 (80.933) Epoch: [42][990/10010] Time 0.339 (0.329) Data 0.000 (0.003) Loss 1.8140 (1.7947) Prec@1 54.688 (59.193) Prec@5 79.688 (80.943) Epoch: [42][1000/10010] Time 0.332 (0.329) Data 0.001 (0.003) Loss 1.6722 (1.7940) Prec@1 60.938 (59.209) Prec@5 83.594 (80.963) Epoch: [42][1010/10010] Time 0.315 (0.329) Data 0.001 (0.003) Loss 1.8489 (1.7938) Prec@1 54.688 (59.219) Prec@5 82.812 (80.981) Epoch: [42][1020/10010] Time 0.334 (0.329) Data 0.000 (0.003) Loss 1.8745 (1.7935) Prec@1 60.938 (59.227) Prec@5 77.344 (80.984) Epoch: [42][1030/10010] Time 0.322 (0.329) Data 0.000 (0.003) Loss 1.6664 (1.7942) Prec@1 60.156 (59.211) Prec@5 81.250 (80.970) Epoch: [42][1040/10010] Time 0.339 (0.329) Data 0.001 (0.003) Loss 1.9083 (1.7939) Prec@1 53.125 (59.199) Prec@5 81.250 (80.983) Epoch: [42][1050/10010] Time 0.326 (0.329) Data 0.001 (0.003) Loss 1.4463 (1.7940) Prec@1 64.844 (59.219) Prec@5 89.062 (80.988) Epoch: [42][1060/10010] Time 0.324 (0.329) Data 0.000 (0.003) Loss 1.9193 (1.7940) Prec@1 56.250 (59.222) Prec@5 78.906 (80.981) Epoch: [42][1070/10010] Time 0.340 (0.329) Data 0.001 (0.003) Loss 1.6063 (1.7939) Prec@1 63.281 (59.219) Prec@5 82.812 (80.976) Epoch: [42][1080/10010] Time 0.338 (0.329) Data 0.000 (0.003) Loss 1.7708 (1.7939) Prec@1 65.625 (59.225) Prec@5 81.250 (80.984) Epoch: [42][1090/10010] Time 0.319 (0.329) Data 0.001 (0.003) Loss 2.1888 (1.7935) Prec@1 55.469 (59.231) Prec@5 71.875 (80.985) Epoch: [42][1100/10010] Time 0.335 (0.329) Data 0.001 (0.003) Loss 2.0335 (1.7939) Prec@1 51.562 (59.217) Prec@5 78.125 (80.970) Epoch: [42][1110/10010] Time 0.321 (0.329) Data 0.001 (0.003) Loss 1.4729 (1.7948) Prec@1 67.188 (59.211) Prec@5 84.375 (80.948) Epoch: [42][1120/10010] Time 0.328 (0.329) Data 0.001 (0.003) Loss 2.1572 (1.7951) Prec@1 51.562 (59.215) Prec@5 71.094 (80.942) Epoch: [42][1130/10010] Time 0.322 (0.329) Data 0.001 (0.003) Loss 1.9913 (1.7954) Prec@1 50.781 (59.206) Prec@5 81.250 (80.936) Epoch: [42][1140/10010] Time 0.315 (0.329) Data 0.001 (0.003) Loss 1.8614 (1.7954) Prec@1 60.156 (59.209) Prec@5 79.688 (80.945) Epoch: [42][1150/10010] Time 0.323 (0.329) Data 0.001 (0.003) Loss 1.6760 (1.7958) Prec@1 57.031 (59.196) Prec@5 85.156 (80.943) Epoch: [42][1160/10010] Time 0.335 (0.329) Data 0.001 (0.003) Loss 1.4678 (1.7956) Prec@1 64.062 (59.193) Prec@5 87.500 (80.949) Epoch: [42][1170/10010] Time 0.337 (0.329) Data 0.001 (0.003) Loss 1.8833 (1.7949) Prec@1 57.031 (59.209) Prec@5 81.250 (80.953) Epoch: [42][1180/10010] Time 0.336 (0.329) Data 0.001 (0.003) Loss 1.9967 (1.7945) Prec@1 60.938 (59.222) Prec@5 75.000 (80.952) Epoch: [42][1190/10010] Time 0.334 (0.329) Data 0.001 (0.003) Loss 2.0951 (1.7954) Prec@1 53.906 (59.195) Prec@5 75.000 (80.946) Epoch: [42][1200/10010] Time 0.339 (0.329) Data 0.001 (0.003) Loss 1.7026 (1.7963) Prec@1 61.719 (59.176) Prec@5 84.375 (80.923) Epoch: [42][1210/10010] Time 0.334 (0.329) Data 0.001 (0.003) Loss 1.7626 (1.7963) Prec@1 56.250 (59.171) Prec@5 82.031 (80.919) Epoch: [42][1220/10010] Time 0.317 (0.329) Data 0.000 (0.003) Loss 1.6350 (1.7958) Prec@1 61.719 (59.176) Prec@5 79.688 (80.932) Epoch: [42][1230/10010] Time 0.334 (0.329) Data 0.001 (0.003) Loss 1.4953 (1.7957) Prec@1 64.062 (59.174) Prec@5 85.156 (80.933) Epoch: [42][1240/10010] Time 0.327 (0.329) Data 0.001 (0.003) Loss 1.7109 (1.7959) Prec@1 60.938 (59.167) Prec@5 82.031 (80.925) /data/vision/torralba/deepscene/lib/anaconda2/lib/python2.7/site-packages/PIL/TiffImagePlugin.py:692: UserWarning: Possibly corrupt EXIF data. Expecting to read 19660800 bytes but only got 0. Skipping tag 0 "Skipping tag %s" % (size, len(data), tag)) /data/vision/torralba/deepscene/lib/anaconda2/lib/python2.7/site-packages/PIL/TiffImagePlugin.py:692: UserWarning: Possibly corrupt EXIF data. Expecting to read 18481152 bytes but only got 0. Skipping tag 0 "Skipping tag %s" % (size, len(data), tag)) /data/vision/torralba/deepscene/lib/anaconda2/lib/python2.7/site-packages/PIL/TiffImagePlugin.py:692: UserWarning: Possibly corrupt EXIF data. Expecting to read 37093376 bytes but only got 0. Skipping tag 0 "Skipping tag %s" % (size, len(data), tag)) /data/vision/torralba/deepscene/lib/anaconda2/lib/python2.7/site-packages/PIL/TiffImagePlugin.py:692: UserWarning: Possibly corrupt EXIF data. Expecting to read 39976960 bytes but only got 0. Skipping tag 0 "Skipping tag %s" % (size, len(data), tag)) /data/vision/torralba/deepscene/lib/anaconda2/lib/python2.7/site-packages/PIL/TiffImagePlugin.py:692: UserWarning: Possibly corrupt EXIF data. Expecting to read 34865152 bytes but only got 0. Skipping tag 0 "Skipping tag %s" % (size, len(data), tag)) /data/vision/torralba/deepscene/lib/anaconda2/lib/python2.7/site-packages/PIL/TiffImagePlugin.py:709: UserWarning: Corrupt EXIF data. Expecting to read 12 bytes but only got 10. warnings.warn(str(msg)) Epoch: [42][1250/10010] Time 0.337 (0.329) Data 0.001 (0.003) Loss 1.8702 (1.7961) Prec@1 59.375 (59.165) Prec@5 80.469 (80.926) Epoch: [42][1260/10010] Time 0.319 (0.329) Data 0.000 (0.003) Loss 1.8345 (1.7959) Prec@1 57.812 (59.167) Prec@5 82.031 (80.934) Epoch: [42][1270/10010] Time 0.328 (0.329) Data 0.001 (0.003) Loss 2.2694 (1.7970) Prec@1 52.344 (59.154) Prec@5 73.438 (80.912) Epoch: [42][1280/10010] Time 0.328 (0.329) Data 0.001 (0.003) Loss 1.6361 (1.7969) Prec@1 62.500 (59.165) Prec@5 82.031 (80.917) Epoch: [42][1290/10010] Time 0.334 (0.329) Data 0.004 (0.003) Loss 1.8117 (1.7958) Prec@1 59.375 (59.176) Prec@5 79.688 (80.935) Epoch: [42][1300/10010] Time 0.320 (0.329) Data 0.000 (0.003) Loss 1.7680 (1.7964) Prec@1 58.594 (59.159) Prec@5 82.031 (80.922) Epoch: [42][1310/10010] Time 0.322 (0.329) Data 0.001 (0.003) Loss 1.6510 (1.7958) Prec@1 65.625 (59.180) Prec@5 81.250 (80.925) Epoch: [42][1320/10010] Time 0.338 (0.329) Data 0.000 (0.003) Loss 1.8547 (1.7958) Prec@1 56.250 (59.178) Prec@5 84.375 (80.922) Epoch: [42][1330/10010] Time 0.338 (0.329) Data 0.001 (0.002) Loss 1.7884 (1.7956) Prec@1 58.594 (59.188) Prec@5 85.938 (80.934) Epoch: [42][1340/10010] Time 0.333 (0.329) Data 0.001 (0.002) Loss 1.7401 (1.7951) Prec@1 60.156 (59.190) Prec@5 80.469 (80.936) Epoch: [42][1350/10010] Time 0.336 (0.329) Data 0.001 (0.002) Loss 1.7693 (1.7948) Prec@1 59.375 (59.190) Prec@5 82.812 (80.944) Epoch: [42][1360/10010] Time 0.336 (0.329) Data 0.001 (0.002) Loss 1.5426 (1.7945) Prec@1 66.406 (59.194) Prec@5 83.594 (80.952) Epoch: [42][1370/10010] Time 0.319 (0.329) Data 0.001 (0.002) Loss 1.8506 (1.7941) Prec@1 60.938 (59.205) Prec@5 82.031 (80.956) Epoch: [42][1380/10010] Time 0.321 (0.329) Data 0.001 (0.002) Loss 2.1953 (1.7944) Prec@1 50.000 (59.200) Prec@5 74.219 (80.947) Epoch: [42][1390/10010] Time 0.327 (0.329) Data 0.000 (0.002) Loss 1.4953 (1.7941) Prec@1 66.406 (59.209) Prec@5 85.156 (80.952) Epoch: [42][1400/10010] Time 0.330 (0.329) Data 0.001 (0.002) Loss 2.2699 (1.7944) Prec@1 53.125 (59.200) Prec@5 76.562 (80.958) Epoch: [42][1410/10010] Time 0.337 (0.329) Data 0.001 (0.002) Loss 1.8834 (1.7944) Prec@1 60.938 (59.209) Prec@5 78.125 (80.949) Epoch: [42][1420/10010] Time 0.315 (0.329) Data 0.001 (0.002) Loss 1.7042 (1.7937) Prec@1 64.844 (59.228) Prec@5 82.031 (80.966) Epoch: [42][1430/10010] Time 0.309 (0.329) Data 0.001 (0.002) Loss 1.7463 (1.7934) Prec@1 60.156 (59.237) Prec@5 81.250 (80.969) Epoch: [42][1440/10010] Time 0.312 (0.329) Data 0.001 (0.002) Loss 1.8456 (1.7926) Prec@1 60.938 (59.243) Prec@5 80.469 (80.985) Epoch: [42][1450/10010] Time 0.331 (0.329) Data 0.001 (0.002) Loss 1.7748 (1.7923) Prec@1 55.469 (59.251) Prec@5 80.469 (80.985) Epoch: [42][1460/10010] Time 0.317 (0.329) Data 0.001 (0.002) Loss 1.8104 (1.7933) Prec@1 60.156 (59.231) Prec@5 82.031 (80.967) Epoch: [42][1470/10010] Time 0.331 (0.329) Data 0.001 (0.002) Loss 1.5450 (1.7930) Prec@1 65.625 (59.229) Prec@5 83.594 (80.971) Epoch: [42][1480/10010] Time 0.329 (0.329) Data 0.001 (0.002) Loss 1.9020 (1.7931) Prec@1 56.250 (59.234) Prec@5 76.562 (80.963) Epoch: [42][1490/10010] Time 0.319 (0.329) Data 0.000 (0.002) Loss 1.6671 (1.7931) Prec@1 64.844 (59.229) Prec@5 84.375 (80.971) Epoch: [42][1500/10010] Time 0.321 (0.329) Data 0.000 (0.002) Loss 1.8387 (1.7933) Prec@1 60.156 (59.230) Prec@5 81.250 (80.967) Epoch: [42][1510/10010] Time 0.314 (0.329) Data 0.000 (0.002) Loss 1.6568 (1.7932) Prec@1 58.594 (59.228) Prec@5 82.031 (80.964) Epoch: [42][1520/10010] Time 0.336 (0.329) Data 0.001 (0.002) Loss 1.8527 (1.7936) Prec@1 58.594 (59.214) Prec@5 78.906 (80.960) Epoch: [42][1530/10010] Time 0.334 (0.329) Data 0.001 (0.002) Loss 1.6070 (1.7929) Prec@1 64.062 (59.217) Prec@5 83.594 (80.966) Epoch: [42][1540/10010] Time 0.337 (0.329) Data 0.001 (0.002) Loss 1.5803 (1.7929) Prec@1 65.625 (59.232) Prec@5 85.156 (80.969) Epoch: [42][1550/10010] Time 0.328 (0.329) Data 0.000 (0.002) Loss 1.8511 (1.7928) Prec@1 64.062 (59.236) Prec@5 80.469 (80.971) Epoch: [42][1560/10010] Time 0.331 (0.329) Data 0.000 (0.002) Loss 1.7284 (1.7925) Prec@1 59.375 (59.241) Prec@5 82.031 (80.968) Epoch: [42][1570/10010] Time 0.335 (0.329) Data 0.001 (0.002) Loss 2.0294 (1.7926) Prec@1 55.469 (59.241) Prec@5 75.781 (80.969) Epoch: [42][1580/10010] Time 0.336 (0.328) Data 0.001 (0.002) Loss 1.6453 (1.7924) Prec@1 60.938 (59.247) Prec@5 81.250 (80.971) Epoch: [42][1590/10010] Time 0.318 (0.328) Data 0.001 (0.002) Loss 1.7350 (1.7922) Prec@1 63.281 (59.255) Prec@5 82.812 (80.976) Epoch: [42][1600/10010] Time 0.344 (0.328) Data 0.001 (0.002) Loss 1.5279 (1.7918) Prec@1 66.406 (59.266) Prec@5 83.594 (80.989) Epoch: [42][1610/10010] Time 0.331 (0.328) Data 0.000 (0.002) Loss 1.7255 (1.7919) Prec@1 59.375 (59.261) Prec@5 85.938 (80.990) Epoch: [42][1620/10010] Time 0.324 (0.328) Data 0.000 (0.002) Loss 1.8208 (1.7914) Prec@1 58.594 (59.270) Prec@5 75.781 (80.992) Epoch: [42][1630/10010] Time 0.314 (0.328) Data 0.000 (0.002) Loss 1.7488 (1.7919) Prec@1 55.469 (59.253) Prec@5 83.594 (80.991) Epoch: [42][1640/10010] Time 0.337 (0.328) Data 0.000 (0.002) Loss 1.6962 (1.7921) Prec@1 66.406 (59.255) Prec@5 82.031 (80.994) /data/vision/torralba/deepscene/lib/anaconda2/lib/python2.7/site-packages/PIL/TiffImagePlugin.py:692: UserWarning: Possibly corrupt EXIF data. Expecting to read 2555904 bytes but only got 0. Skipping tag 0 "Skipping tag %s" % (size, len(data), tag)) Epoch: [42][1650/10010] Time 0.327 (0.328) Data 0.001 (0.002) Loss 1.6699 (1.7924) Prec@1 63.281 (59.249) Prec@5 82.812 (80.994) Epoch: [42][1660/10010] Time 0.320 (0.328) Data 0.000 (0.002) Loss 1.7685 (1.7927) Prec@1 62.500 (59.236) Prec@5 77.344 (80.988) Epoch: [42][1670/10010] Time 0.340 (0.328) Data 0.000 (0.002) Loss 1.9573 (1.7926) Prec@1 54.688 (59.233) Prec@5 76.562 (80.990) Epoch: [42][1680/10010] Time 0.323 (0.328) Data 0.000 (0.002) Loss 1.8796 (1.7921) Prec@1 53.906 (59.236) Prec@5 78.906 (80.993) Epoch: [42][1690/10010] Time 0.331 (0.328) Data 0.001 (0.002) Loss 1.9171 (1.7924) Prec@1 59.375 (59.236) Prec@5 78.125 (80.988) Epoch: [42][1700/10010] Time 0.321 (0.328) Data 0.001 (0.002) Loss 1.9614 (1.7926) Prec@1 53.906 (59.231) Prec@5 78.906 (80.978) Epoch: [42][1710/10010] Time 0.320 (0.328) Data 0.001 (0.002) Loss 1.5043 (1.7924) Prec@1 65.625 (59.240) Prec@5 86.719 (80.984) Epoch: [42][1720/10010] Time 0.327 (0.328) Data 0.001 (0.002) Loss 1.7338 (1.7922) Prec@1 62.500 (59.240) Prec@5 82.031 (80.982) Epoch: [42][1730/10010] Time 0.324 (0.328) Data 0.000 (0.002) Loss 1.9476 (1.7923) Prec@1 56.250 (59.227) Prec@5 82.812 (80.984) Epoch: [42][1740/10010] Time 0.318 (0.328) Data 0.000 (0.002) Loss 1.8791 (1.7922) Prec@1 57.812 (59.224) Prec@5 82.812 (80.989) Epoch: [42][1750/10010] Time 0.328 (0.328) Data 0.001 (0.002) Loss 1.9293 (1.7919) Prec@1 57.031 (59.234) Prec@5 78.906 (80.989) Epoch: [42][1760/10010] Time 0.332 (0.328) Data 0.001 (0.002) Loss 1.7035 (1.7915) Prec@1 61.719 (59.245) Prec@5 80.469 (80.992) Epoch: [42][1770/10010] Time 0.328 (0.328) Data 0.000 (0.002) Loss 1.8236 (1.7916) Prec@1 57.812 (59.251) Prec@5 78.906 (80.989) Epoch: [42][1780/10010] Time 0.339 (0.328) Data 0.000 (0.002) Loss 1.8767 (1.7916) Prec@1 53.906 (59.250) Prec@5 82.031 (80.989) Epoch: [42][1790/10010] Time 0.336 (0.328) Data 0.000 (0.002) Loss 1.7236 (1.7919) Prec@1 64.844 (59.243) Prec@5 78.906 (80.981) Epoch: [42][1800/10010] Time 0.318 (0.328) Data 0.001 (0.002) Loss 1.9919 (1.7923) Prec@1 59.375 (59.238) Prec@5 75.781 (80.972) Epoch: [42][1810/10010] Time 0.335 (0.328) Data 0.001 (0.002) Loss 1.8808 (1.7926) Prec@1 54.688 (59.228) Prec@5 78.906 (80.963) Epoch: [42][1820/10010] Time 0.335 (0.328) Data 0.001 (0.002) Loss 1.7887 (1.7923) Prec@1 60.938 (59.236) Prec@5 82.031 (80.975) Epoch: [42][1830/10010] Time 0.319 (0.328) Data 0.001 (0.002) Loss 2.0082 (1.7925) Prec@1 54.688 (59.227) Prec@5 78.125 (80.971) Epoch: [42][1840/10010] Time 0.320 (0.328) Data 0.001 (0.002) Loss 1.7973 (1.7926) Prec@1 59.375 (59.222) Prec@5 80.469 (80.964) Epoch: [42][1850/10010] Time 0.339 (0.328) Data 0.000 (0.002) Loss 1.6408 (1.7924) Prec@1 64.062 (59.221) Prec@5 85.156 (80.973) Epoch: [42][1860/10010] Time 0.339 (0.328) Data 0.000 (0.002) Loss 1.9321 (1.7931) Prec@1 59.375 (59.202) Prec@5 79.688 (80.960) Epoch: [42][1870/10010] Time 0.334 (0.328) Data 0.001 (0.002) Loss 1.8861 (1.7930) Prec@1 54.688 (59.197) Prec@5 82.031 (80.965) Epoch: [42][1880/10010] Time 0.341 (0.328) Data 0.001 (0.002) Loss 1.4242 (1.7930) Prec@1 65.625 (59.191) Prec@5 88.281 (80.963) Epoch: [42][1890/10010] Time 0.323 (0.328) Data 0.000 (0.002) Loss 1.7537 (1.7931) Prec@1 65.625 (59.197) Prec@5 82.031 (80.963) Epoch: [42][1900/10010] Time 0.316 (0.328) Data 0.001 (0.002) Loss 2.2575 (1.7936) Prec@1 50.781 (59.187) Prec@5 70.312 (80.958) Epoch: [42][1910/10010] Time 0.320 (0.328) Data 0.000 (0.002) Loss 1.8493 (1.7937) Prec@1 56.250 (59.173) Prec@5 81.250 (80.958) Epoch: [42][1920/10010] Time 0.330 (0.328) Data 0.001 (0.002) Loss 1.7608 (1.7937) Prec@1 62.500 (59.174) Prec@5 83.594 (80.954) Epoch: [42][1930/10010] Time 0.334 (0.328) Data 0.000 (0.002) Loss 1.6731 (1.7933) Prec@1 57.031 (59.175) Prec@5 80.469 (80.961) Epoch: [42][1940/10010] Time 0.338 (0.328) Data 0.000 (0.002) Loss 1.4973 (1.7931) Prec@1 59.375 (59.167) Prec@5 86.719 (80.970) Epoch: [42][1950/10010] Time 0.321 (0.328) Data 0.001 (0.002) Loss 1.7940 (1.7928) Prec@1 57.812 (59.177) Prec@5 84.375 (80.975) Epoch: [42][1960/10010] Time 0.340 (0.328) Data 0.001 (0.002) Loss 1.7458 (1.7925) Prec@1 58.594 (59.182) Prec@5 82.812 (80.985) Epoch: [42][1970/10010] Time 0.337 (0.328) Data 0.001 (0.002) Loss 1.6069 (1.7926) Prec@1 64.062 (59.190) Prec@5 85.938 (80.981) Epoch: [42][1980/10010] Time 0.337 (0.328) Data 0.001 (0.002) Loss 1.7357 (1.7925) Prec@1 59.375 (59.191) Prec@5 81.250 (80.982) Epoch: [42][1990/10010] Time 0.340 (0.328) Data 0.000 (0.002) Loss 1.8872 (1.7925) Prec@1 60.156 (59.194) Prec@5 78.125 (80.983) Epoch: [42][2000/10010] Time 0.341 (0.328) Data 0.001 (0.002) Loss 1.5124 (1.7926) Prec@1 59.375 (59.195) Prec@5 86.719 (80.979) Epoch: [42][2010/10010] Time 0.332 (0.328) Data 0.001 (0.002) Loss 2.2845 (1.7930) Prec@1 49.219 (59.187) Prec@5 75.781 (80.977) Epoch: [42][2020/10010] Time 0.314 (0.328) Data 0.000 (0.002) Loss 1.8394 (1.7933) Prec@1 57.812 (59.185) Prec@5 77.344 (80.966) Epoch: [42][2030/10010] Time 0.337 (0.328) Data 0.000 (0.002) Loss 2.1012 (1.7933) Prec@1 48.438 (59.182) Prec@5 78.125 (80.969) Epoch: [42][2040/10010] Time 0.333 (0.328) Data 0.001 (0.002) Loss 1.7737 (1.7934) Prec@1 60.156 (59.178) Prec@5 82.031 (80.968) Epoch: [42][2050/10010] Time 0.345 (0.328) Data 0.000 (0.002) Loss 1.6014 (1.7932) Prec@1 65.625 (59.186) Prec@5 84.375 (80.964) Epoch: [42][2060/10010] Time 0.338 (0.328) Data 0.000 (0.002) Loss 1.5460 (1.7931) Prec@1 63.281 (59.184) Prec@5 89.062 (80.973) Epoch: [42][2070/10010] Time 0.334 (0.328) Data 0.000 (0.002) Loss 1.5660 (1.7925) Prec@1 67.188 (59.207) Prec@5 84.375 (80.983) Epoch: [42][2080/10010] Time 0.319 (0.328) Data 0.001 (0.002) Loss 1.7635 (1.7926) Prec@1 53.906 (59.200) Prec@5 82.812 (80.984) Epoch: [42][2090/10010] Time 0.320 (0.328) Data 0.001 (0.002) Loss 1.9870 (1.7930) Prec@1 53.125 (59.187) Prec@5 79.688 (80.983) Epoch: [42][2100/10010] Time 0.337 (0.328) Data 0.000 (0.002) Loss 1.4531 (1.7924) Prec@1 66.406 (59.195) Prec@5 88.281 (80.995) Epoch: [42][2110/10010] Time 0.317 (0.328) Data 0.000 (0.002) Loss 1.3555 (1.7925) Prec@1 67.969 (59.190) Prec@5 89.062 (80.992) Epoch: [42][2120/10010] Time 0.336 (0.328) Data 0.001 (0.002) Loss 1.7855 (1.7917) Prec@1 59.375 (59.206) Prec@5 84.375 (81.007) Epoch: [42][2130/10010] Time 0.335 (0.328) Data 0.001 (0.002) Loss 1.8700 (1.7917) Prec@1 56.250 (59.207) Prec@5 81.250 (81.009) Epoch: [42][2140/10010] Time 0.336 (0.328) Data 0.001 (0.002) Loss 1.9255 (1.7920) Prec@1 57.031 (59.197) Prec@5 76.562 (81.002) Epoch: [42][2150/10010] Time 0.337 (0.328) Data 0.001 (0.002) Loss 1.7829 (1.7919) Prec@1 59.375 (59.194) Prec@5 80.469 (81.003) Epoch: [42][2160/10010] Time 0.341 (0.328) Data 0.001 (0.002) Loss 2.1011 (1.7918) Prec@1 50.000 (59.192) Prec@5 75.781 (81.002) Epoch: [42][2170/10010] Time 0.343 (0.328) Data 0.001 (0.002) Loss 1.7041 (1.7917) Prec@1 59.375 (59.184) Prec@5 82.812 (81.008) Epoch: [42][2180/10010] Time 0.318 (0.328) Data 0.001 (0.002) Loss 1.6253 (1.7914) Prec@1 62.500 (59.186) Prec@5 83.594 (81.011) Epoch: [42][2190/10010] Time 0.322 (0.328) Data 0.000 (0.002) Loss 1.8417 (1.7915) Prec@1 60.156 (59.189) Prec@5 78.125 (81.007) Epoch: [42][2200/10010] Time 0.333 (0.328) Data 0.001 (0.002) Loss 1.4609 (1.7912) Prec@1 69.531 (59.194) Prec@5 89.062 (81.013) Epoch: [42][2210/10010] Time 0.320 (0.328) Data 0.001 (0.002) Loss 2.2085 (1.7916) Prec@1 48.438 (59.190) Prec@5 71.875 (81.000) Epoch: [42][2220/10010] Time 0.318 (0.328) Data 0.000 (0.002) Loss 1.9196 (1.7914) Prec@1 58.594 (59.196) Prec@5 78.125 (81.004) Epoch: [42][2230/10010] Time 0.325 (0.328) Data 0.001 (0.002) Loss 1.7138 (1.7915) Prec@1 61.719 (59.192) Prec@5 82.031 (81.002) Epoch: [42][2240/10010] Time 0.340 (0.328) Data 0.000 (0.002) Loss 1.9161 (1.7912) Prec@1 58.594 (59.196) Prec@5 78.906 (81.013) Epoch: [42][2250/10010] Time 0.333 (0.328) Data 0.001 (0.002) Loss 2.0248 (1.7912) Prec@1 56.250 (59.202) Prec@5 75.781 (81.011) Epoch: [42][2260/10010] Time 0.332 (0.328) Data 0.000 (0.002) Loss 1.8074 (1.7912) Prec@1 61.719 (59.205) Prec@5 82.812 (81.010) Epoch: [42][2270/10010] Time 0.327 (0.328) Data 0.001 (0.002) Loss 2.1012 (1.7913) Prec@1 56.250 (59.196) Prec@5 77.344 (81.014) Epoch: [42][2280/10010] Time 0.324 (0.328) Data 0.001 (0.002) Loss 1.4579 (1.7910) Prec@1 66.406 (59.202) Prec@5 86.719 (81.018) Epoch: [42][2290/10010] Time 0.327 (0.328) Data 0.001 (0.002) Loss 1.6749 (1.7909) Prec@1 64.844 (59.209) Prec@5 82.812 (81.021) Epoch: [42][2300/10010] Time 0.337 (0.328) Data 0.001 (0.002) Loss 1.9508 (1.7905) Prec@1 54.688 (59.216) Prec@5 76.562 (81.024) Epoch: [42][2310/10010] Time 0.322 (0.328) Data 0.003 (0.002) Loss 1.6857 (1.7903) Prec@1 57.031 (59.211) Prec@5 84.375 (81.028) Epoch: [42][2320/10010] Time 0.327 (0.328) Data 0.001 (0.002) Loss 1.7408 (1.7905) Prec@1 61.719 (59.207) Prec@5 81.250 (81.021) Epoch: [42][2330/10010] Time 0.323 (0.328) Data 0.001 (0.002) Loss 1.6997 (1.7902) Prec@1 63.281 (59.210) Prec@5 83.594 (81.024) Epoch: [42][2340/10010] Time 0.325 (0.328) Data 0.000 (0.002) Loss 1.8249 (1.7903) Prec@1 53.125 (59.208) Prec@5 79.688 (81.019) Epoch: [42][2350/10010] Time 0.335 (0.328) Data 0.001 (0.002) Loss 1.7485 (1.7902) Prec@1 59.375 (59.213) Prec@5 81.250 (81.018) Epoch: [42][2360/10010] Time 0.319 (0.328) Data 0.001 (0.002) Loss 1.6023 (1.7903) Prec@1 60.156 (59.208) Prec@5 85.156 (81.018) Epoch: [42][2370/10010] Time 0.317 (0.328) Data 0.001 (0.002) Loss 1.8795 (1.7900) Prec@1 54.688 (59.215) Prec@5 80.469 (81.030) Epoch: [42][2380/10010] Time 0.316 (0.328) Data 0.000 (0.002) Loss 1.7985 (1.7895) Prec@1 60.156 (59.221) Prec@5 78.906 (81.038) Epoch: [42][2390/10010] Time 0.340 (0.328) Data 0.000 (0.002) Loss 1.8376 (1.7899) Prec@1 55.469 (59.213) Prec@5 78.906 (81.037) Epoch: [42][2400/10010] Time 0.321 (0.328) Data 0.000 (0.002) Loss 1.4923 (1.7896) Prec@1 66.406 (59.216) Prec@5 89.062 (81.038) Epoch: [42][2410/10010] Time 0.314 (0.328) Data 0.000 (0.002) Loss 1.7016 (1.7894) Prec@1 60.156 (59.214) Prec@5 84.375 (81.039) Epoch: [42][2420/10010] Time 0.314 (0.328) Data 0.000 (0.002) Loss 1.7276 (1.7893) Prec@1 60.156 (59.217) Prec@5 79.688 (81.040) Epoch: [42][2430/10010] Time 0.317 (0.328) Data 0.001 (0.002) Loss 1.4853 (1.7893) Prec@1 63.281 (59.219) Prec@5 86.719 (81.041) Epoch: [42][2440/10010] Time 0.336 (0.328) Data 0.000 (0.002) Loss 1.4375 (1.7893) Prec@1 70.312 (59.224) Prec@5 87.500 (81.039) Epoch: [42][2450/10010] Time 0.318 (0.328) Data 0.001 (0.002) Loss 1.7070 (1.7892) Prec@1 62.500 (59.235) Prec@5 85.938 (81.043) Epoch: [42][2460/10010] Time 0.332 (0.328) Data 0.001 (0.002) Loss 1.6368 (1.7896) Prec@1 59.375 (59.225) Prec@5 82.812 (81.033) Epoch: [42][2470/10010] Time 0.326 (0.328) Data 0.001 (0.002) Loss 1.7192 (1.7896) Prec@1 59.375 (59.219) Prec@5 82.031 (81.035) Epoch: [42][2480/10010] Time 0.326 (0.328) Data 0.001 (0.002) Loss 1.7301 (1.7893) Prec@1 59.375 (59.218) Prec@5 85.156 (81.042) /data/vision/torralba/deepscene/lib/anaconda2/lib/python2.7/site-packages/PIL/TiffImagePlugin.py:692: UserWarning: Possibly corrupt EXIF data. Expecting to read 2555904 bytes but only got 0. Skipping tag 0 "Skipping tag %s" % (size, len(data), tag)) Epoch: [42][2490/10010] Time 0.339 (0.328) Data 0.001 (0.002) Loss 1.6593 (1.7890) Prec@1 60.938 (59.226) Prec@5 85.156 (81.044) Epoch: [42][2500/10010] Time 0.333 (0.328) Data 0.000 (0.002) Loss 1.8117 (1.7891) Prec@1 56.250 (59.228) Prec@5 81.250 (81.042) Epoch: [42][2510/10010] Time 0.330 (0.328) Data 0.001 (0.002) Loss 2.1032 (1.7891) Prec@1 53.906 (59.229) Prec@5 76.562 (81.042) Epoch: [42][2520/10010] Time 0.339 (0.328) Data 0.000 (0.002) Loss 1.8192 (1.7893) Prec@1 50.000 (59.221) Prec@5 82.812 (81.036) Epoch: [42][2530/10010] Time 0.318 (0.328) Data 0.000 (0.002) Loss 1.5929 (1.7891) Prec@1 61.719 (59.221) Prec@5 83.594 (81.038) Epoch: [42][2540/10010] Time 0.316 (0.328) Data 0.001 (0.002) Loss 2.0871 (1.7892) Prec@1 54.688 (59.221) Prec@5 82.031 (81.038) Epoch: [42][2550/10010] Time 0.326 (0.328) Data 0.000 (0.002) Loss 1.8243 (1.7892) Prec@1 57.812 (59.215) Prec@5 79.688 (81.041) Epoch: [42][2560/10010] Time 0.319 (0.328) Data 0.000 (0.002) Loss 1.9000 (1.7893) Prec@1 60.156 (59.214) Prec@5 79.688 (81.040) Epoch: [42][2570/10010] Time 0.338 (0.328) Data 0.001 (0.002) Loss 1.3539 (1.7891) Prec@1 64.062 (59.211) Prec@5 89.062 (81.042) Epoch: [42][2580/10010] Time 0.327 (0.328) Data 0.001 (0.002) Loss 1.8192 (1.7892) Prec@1 57.812 (59.211) Prec@5 78.125 (81.038) Epoch: [42][2590/10010] Time 0.331 (0.328) Data 0.001 (0.002) Loss 1.9825 (1.7897) Prec@1 59.375 (59.200) Prec@5 77.344 (81.032) Epoch: [42][2600/10010] Time 0.332 (0.328) Data 0.001 (0.002) Loss 1.8546 (1.7894) Prec@1 55.469 (59.202) Prec@5 78.125 (81.036) Epoch: [42][2610/10010] Time 0.325 (0.328) Data 0.000 (0.002) Loss 1.9394 (1.7898) Prec@1 60.156 (59.201) Prec@5 77.344 (81.026) Epoch: [42][2620/10010] Time 0.324 (0.328) Data 0.001 (0.002) Loss 1.9220 (1.7901) Prec@1 55.469 (59.198) Prec@5 76.562 (81.021) Epoch: [42][2630/10010] Time 0.329 (0.328) Data 0.000 (0.002) Loss 1.6377 (1.7901) Prec@1 56.250 (59.196) Prec@5 82.031 (81.023) Epoch: [42][2640/10010] Time 0.329 (0.328) Data 0.001 (0.002) Loss 2.0053 (1.7904) Prec@1 56.250 (59.191) Prec@5 80.469 (81.023) Epoch: [42][2650/10010] Time 0.337 (0.328) Data 0.001 (0.002) Loss 2.0773 (1.7908) Prec@1 57.812 (59.187) Prec@5 74.219 (81.014) Epoch: [42][2660/10010] Time 0.336 (0.328) Data 0.001 (0.002) Loss 1.9682 (1.7910) Prec@1 61.719 (59.184) Prec@5 81.250 (81.010) Epoch: [42][2670/10010] Time 0.328 (0.328) Data 0.000 (0.002) Loss 1.8272 (1.7912) Prec@1 53.906 (59.183) Prec@5 82.812 (81.011) Epoch: [42][2680/10010] Time 0.338 (0.328) Data 0.001 (0.002) Loss 1.7496 (1.7909) Prec@1 58.594 (59.191) Prec@5 82.812 (81.014) Epoch: [42][2690/10010] Time 0.340 (0.328) Data 0.001 (0.002) Loss 1.7640 (1.7910) Prec@1 58.594 (59.191) Prec@5 81.250 (81.008) Epoch: [42][2700/10010] Time 0.338 (0.328) Data 0.001 (0.002) Loss 2.0112 (1.7907) Prec@1 56.250 (59.200) Prec@5 79.688 (81.014) Epoch: [42][2710/10010] Time 0.325 (0.328) Data 0.003 (0.002) Loss 1.7621 (1.7912) Prec@1 59.375 (59.194) Prec@5 81.250 (81.009) Epoch: [42][2720/10010] Time 0.324 (0.328) Data 0.001 (0.002) Loss 1.5820 (1.7916) Prec@1 66.406 (59.192) Prec@5 86.719 (81.000) Epoch: [42][2730/10010] Time 0.327 (0.328) Data 0.001 (0.002) Loss 1.8059 (1.7919) Prec@1 58.594 (59.184) Prec@5 78.906 (80.995) Epoch: [42][2740/10010] Time 0.337 (0.328) Data 0.001 (0.002) Loss 2.0010 (1.7919) Prec@1 59.375 (59.189) Prec@5 77.344 (80.993) Epoch: [42][2750/10010] Time 0.326 (0.328) Data 0.000 (0.002) Loss 1.7243 (1.7920) Prec@1 59.375 (59.187) Prec@5 82.031 (80.990) Epoch: [42][2760/10010] Time 0.339 (0.328) Data 0.000 (0.002) Loss 1.7488 (1.7918) Prec@1 61.719 (59.188) Prec@5 82.812 (80.992) Epoch: [42][2770/10010] Time 0.336 (0.328) Data 0.001 (0.002) Loss 2.0110 (1.7919) Prec@1 56.250 (59.186) Prec@5 76.562 (80.988) Epoch: [42][2780/10010] Time 0.321 (0.328) Data 0.001 (0.002) Loss 1.9026 (1.7915) Prec@1 57.031 (59.196) Prec@5 78.906 (80.996) Epoch: [42][2790/10010] Time 0.319 (0.328) Data 0.000 (0.002) Loss 1.6219 (1.7917) Prec@1 64.062 (59.187) Prec@5 84.375 (80.994) Epoch: [42][2800/10010] Time 0.331 (0.328) Data 0.001 (0.002) Loss 1.9218 (1.7918) Prec@1 57.031 (59.185) Prec@5 78.906 (80.992) Epoch: [42][2810/10010] Time 0.332 (0.328) Data 0.001 (0.002) Loss 1.4881 (1.7917) Prec@1 67.188 (59.189) Prec@5 87.500 (80.997) Epoch: [42][2820/10010] Time 0.329 (0.328) Data 0.001 (0.002) Loss 1.8496 (1.7914) Prec@1 55.469 (59.189) Prec@5 82.031 (81.001) Epoch: [42][2830/10010] Time 0.329 (0.328) Data 0.001 (0.002) Loss 1.7420 (1.7917) Prec@1 57.812 (59.179) Prec@5 81.250 (80.994) Epoch: [42][2840/10010] Time 0.317 (0.328) Data 0.001 (0.002) Loss 2.2186 (1.7917) Prec@1 52.344 (59.183) Prec@5 70.312 (80.994) Epoch: [42][2850/10010] Time 0.343 (0.328) Data 0.001 (0.002) Loss 1.6676 (1.7915) Prec@1 62.500 (59.188) Prec@5 85.156 (80.992) Epoch: [42][2860/10010] Time 0.335 (0.328) Data 0.001 (0.002) Loss 1.6278 (1.7916) Prec@1 59.375 (59.176) Prec@5 84.375 (80.991) Epoch: [42][2870/10010] Time 0.324 (0.328) Data 0.000 (0.002) Loss 1.7052 (1.7916) Prec@1 60.938 (59.174) Prec@5 83.594 (80.986) Epoch: [42][2880/10010] Time 0.336 (0.328) Data 0.001 (0.001) Loss 1.9586 (1.7919) Prec@1 55.469 (59.170) Prec@5 75.781 (80.982) Epoch: [42][2890/10010] Time 0.317 (0.328) Data 0.001 (0.001) Loss 1.6080 (1.7918) Prec@1 61.719 (59.169) Prec@5 83.594 (80.984) Epoch: [42][2900/10010] Time 0.327 (0.328) Data 0.001 (0.001) Loss 1.7146 (1.7920) Prec@1 53.906 (59.167) Prec@5 86.719 (80.983) Epoch: [42][2910/10010] Time 0.333 (0.328) Data 0.001 (0.001) Loss 1.9754 (1.7921) Prec@1 46.094 (59.162) Prec@5 78.125 (80.985) Epoch: [42][2920/10010] Time 0.336 (0.328) Data 0.000 (0.001) Loss 1.9393 (1.7921) Prec@1 59.375 (59.166) Prec@5 75.781 (80.982) Epoch: [42][2930/10010] Time 0.322 (0.328) Data 0.001 (0.001) Loss 2.1626 (1.7924) Prec@1 51.562 (59.158) Prec@5 68.750 (80.976) Epoch: [42][2940/10010] Time 0.323 (0.328) Data 0.001 (0.001) Loss 1.7342 (1.7925) Prec@1 61.719 (59.159) Prec@5 84.375 (80.975) Epoch: [42][2950/10010] Time 0.314 (0.328) Data 0.001 (0.001) Loss 1.7552 (1.7926) Prec@1 61.719 (59.157) Prec@5 83.594 (80.973) Epoch: [42][2960/10010] Time 0.336 (0.328) Data 0.000 (0.001) Loss 1.6259 (1.7927) Prec@1 61.719 (59.158) Prec@5 82.812 (80.967) Epoch: [42][2970/10010] Time 0.339 (0.328) Data 0.001 (0.001) Loss 1.5847 (1.7927) Prec@1 60.156 (59.153) Prec@5 85.156 (80.966) Epoch: [42][2980/10010] Time 0.325 (0.328) Data 0.001 (0.001) Loss 1.8487 (1.7926) Prec@1 57.031 (59.152) Prec@5 83.594 (80.969) Epoch: [42][2990/10010] Time 0.312 (0.328) Data 0.001 (0.001) Loss 2.0954 (1.7928) Prec@1 51.562 (59.146) Prec@5 74.219 (80.966) Epoch: [42][3000/10010] Time 0.332 (0.328) Data 0.001 (0.001) Loss 1.6175 (1.7926) Prec@1 66.406 (59.147) Prec@5 81.250 (80.964) Epoch: [42][3010/10010] Time 0.329 (0.328) Data 0.001 (0.001) Loss 1.6631 (1.7926) Prec@1 64.062 (59.154) Prec@5 82.812 (80.960) Epoch: [42][3020/10010] Time 0.315 (0.328) Data 0.001 (0.001) Loss 1.7083 (1.7925) Prec@1 62.500 (59.159) Prec@5 82.031 (80.961) Epoch: [42][3030/10010] Time 0.319 (0.328) Data 0.001 (0.001) Loss 1.5860 (1.7926) Prec@1 66.406 (59.160) Prec@5 83.594 (80.958) Epoch: [42][3040/10010] Time 0.320 (0.328) Data 0.001 (0.001) Loss 1.8988 (1.7924) Prec@1 59.375 (59.163) Prec@5 79.688 (80.957) Epoch: [42][3050/10010] Time 0.328 (0.328) Data 0.001 (0.001) Loss 2.0152 (1.7922) Prec@1 57.812 (59.168) Prec@5 79.688 (80.959) Epoch: [42][3060/10010] Time 0.317 (0.328) Data 0.001 (0.001) Loss 1.7364 (1.7925) Prec@1 64.844 (59.167) Prec@5 82.812 (80.954) Epoch: [42][3070/10010] Time 0.329 (0.328) Data 0.001 (0.001) Loss 1.7544 (1.7928) Prec@1 61.719 (59.167) Prec@5 80.469 (80.951) Epoch: [42][3080/10010] Time 0.328 (0.328) Data 0.001 (0.001) Loss 2.1300 (1.7924) Prec@1 54.688 (59.175) Prec@5 77.344 (80.959) Epoch: [42][3090/10010] Time 0.328 (0.328) Data 0.001 (0.001) Loss 1.9971 (1.7926) Prec@1 54.688 (59.167) Prec@5 76.562 (80.956) Epoch: [42][3100/10010] Time 0.320 (0.328) Data 0.001 (0.001) Loss 1.4474 (1.7925) Prec@1 60.938 (59.166) Prec@5 85.938 (80.956) Epoch: [42][3110/10010] Time 0.319 (0.328) Data 0.001 (0.001) Loss 1.5987 (1.7924) Prec@1 63.281 (59.165) Prec@5 86.719 (80.961) Epoch: [42][3120/10010] Time 0.319 (0.328) Data 0.001 (0.001) Loss 1.8965 (1.7921) Prec@1 58.594 (59.170) Prec@5 78.906 (80.968) Epoch: [42][3130/10010] Time 0.340 (0.328) Data 0.001 (0.001) Loss 1.7870 (1.7917) Prec@1 62.500 (59.175) Prec@5 82.031 (80.973) Epoch: [42][3140/10010] Time 0.333 (0.328) Data 0.001 (0.001) Loss 1.9577 (1.7916) Prec@1 58.594 (59.183) Prec@5 78.906 (80.979) Epoch: [42][3150/10010] Time 0.317 (0.328) Data 0.001 (0.001) Loss 2.1272 (1.7919) Prec@1 53.125 (59.178) Prec@5 77.344 (80.971) Epoch: [42][3160/10010] Time 0.322 (0.328) Data 0.001 (0.001) Loss 1.9286 (1.7920) Prec@1 57.031 (59.175) Prec@5 75.000 (80.968) Epoch: [42][3170/10010] Time 0.337 (0.328) Data 0.000 (0.001) Loss 2.0538 (1.7919) Prec@1 55.469 (59.173) Prec@5 80.469 (80.969) Epoch: [42][3180/10010] Time 0.323 (0.328) Data 0.001 (0.001) Loss 1.7787 (1.7919) Prec@1 64.062 (59.173) Prec@5 80.469 (80.967) Epoch: [42][3190/10010] Time 0.315 (0.328) Data 0.000 (0.001) Loss 1.9412 (1.7918) Prec@1 57.031 (59.170) Prec@5 79.688 (80.972) Epoch: [42][3200/10010] Time 0.333 (0.328) Data 0.001 (0.001) Loss 1.7934 (1.7922) Prec@1 57.031 (59.165) Prec@5 83.594 (80.964) Epoch: [42][3210/10010] Time 0.324 (0.328) Data 0.000 (0.001) Loss 2.0507 (1.7921) Prec@1 55.469 (59.171) Prec@5 75.781 (80.965) Epoch: [42][3220/10010] Time 0.327 (0.328) Data 0.000 (0.001) Loss 2.0369 (1.7923) Prec@1 53.906 (59.162) Prec@5 74.219 (80.960) Epoch: [42][3230/10010] Time 0.320 (0.328) Data 0.001 (0.001) Loss 1.6214 (1.7922) Prec@1 61.719 (59.168) Prec@5 84.375 (80.965) Epoch: [42][3240/10010] Time 0.334 (0.328) Data 0.000 (0.001) Loss 1.7204 (1.7923) Prec@1 64.062 (59.171) Prec@5 81.250 (80.960) Epoch: [42][3250/10010] Time 0.320 (0.328) Data 0.001 (0.001) Loss 1.7262 (1.7926) Prec@1 62.500 (59.173) Prec@5 82.031 (80.956) Epoch: [42][3260/10010] Time 0.310 (0.328) Data 0.001 (0.001) Loss 1.6970 (1.7928) Prec@1 57.031 (59.168) Prec@5 82.812 (80.956) Epoch: [42][3270/10010] Time 0.323 (0.328) Data 0.001 (0.001) Loss 1.5456 (1.7930) Prec@1 64.844 (59.165) Prec@5 81.250 (80.950) Epoch: [42][3280/10010] Time 0.317 (0.328) Data 0.001 (0.001) Loss 1.9507 (1.7930) Prec@1 57.031 (59.170) Prec@5 77.344 (80.949) Epoch: [42][3290/10010] Time 0.317 (0.328) Data 0.001 (0.001) Loss 1.9115 (1.7931) Prec@1 57.031 (59.164) Prec@5 75.000 (80.947) Epoch: [42][3300/10010] Time 0.344 (0.328) Data 0.001 (0.001) Loss 1.8299 (1.7930) Prec@1 60.156 (59.169) Prec@5 82.031 (80.951) Epoch: [42][3310/10010] Time 0.320 (0.328) Data 0.001 (0.001) Loss 1.6069 (1.7929) Prec@1 65.625 (59.175) Prec@5 83.594 (80.954) Epoch: [42][3320/10010] Time 0.332 (0.328) Data 0.001 (0.001) Loss 1.8446 (1.7930) Prec@1 58.594 (59.167) Prec@5 85.938 (80.951) Epoch: [42][3330/10010] Time 0.319 (0.328) Data 0.000 (0.001) Loss 1.8224 (1.7932) Prec@1 53.125 (59.161) Prec@5 84.375 (80.947) Epoch: [42][3340/10010] Time 0.316 (0.328) Data 0.001 (0.001) Loss 1.8849 (1.7934) Prec@1 60.156 (59.158) Prec@5 78.125 (80.944) Epoch: [42][3350/10010] Time 0.326 (0.328) Data 0.001 (0.001) Loss 1.6902 (1.7932) Prec@1 63.281 (59.164) Prec@5 83.594 (80.948) Epoch: [42][3360/10010] Time 0.332 (0.328) Data 0.001 (0.001) Loss 1.6699 (1.7930) Prec@1 57.812 (59.167) Prec@5 83.594 (80.954) Epoch: [42][3370/10010] Time 0.323 (0.328) Data 0.000 (0.001) Loss 1.9959 (1.7932) Prec@1 60.156 (59.164) Prec@5 77.344 (80.948) Epoch: [42][3380/10010] Time 0.330 (0.328) Data 0.000 (0.001) Loss 1.9696 (1.7930) Prec@1 54.688 (59.165) Prec@5 75.000 (80.949) Epoch: [42][3390/10010] Time 0.318 (0.328) Data 0.001 (0.001) Loss 1.5822 (1.7933) Prec@1 62.500 (59.159) Prec@5 82.812 (80.942) Epoch: [42][3400/10010] Time 0.318 (0.328) Data 0.001 (0.001) Loss 1.7794 (1.7932) Prec@1 57.812 (59.160) Prec@5 82.031 (80.944) Epoch: [42][3410/10010] Time 0.316 (0.328) Data 0.001 (0.001) Loss 1.6338 (1.7934) Prec@1 63.281 (59.153) Prec@5 83.594 (80.941) Epoch: [42][3420/10010] Time 0.340 (0.328) Data 0.001 (0.001) Loss 1.7176 (1.7935) Prec@1 60.938 (59.151) Prec@5 78.906 (80.938) Epoch: [42][3430/10010] Time 0.320 (0.328) Data 0.001 (0.001) Loss 1.8823 (1.7933) Prec@1 57.812 (59.160) Prec@5 79.688 (80.943) Epoch: [42][3440/10010] Time 0.320 (0.328) Data 0.001 (0.001) Loss 1.5351 (1.7934) Prec@1 62.500 (59.160) Prec@5 85.156 (80.940) Epoch: [42][3450/10010] Time 0.313 (0.328) Data 0.001 (0.001) Loss 2.0044 (1.7937) Prec@1 63.281 (59.155) Prec@5 78.906 (80.936) Epoch: [42][3460/10010] Time 0.322 (0.328) Data 0.001 (0.001) Loss 1.5929 (1.7932) Prec@1 63.281 (59.159) Prec@5 82.812 (80.943) Epoch: [42][3470/10010] Time 0.319 (0.328) Data 0.001 (0.001) Loss 1.5684 (1.7931) Prec@1 64.844 (59.165) Prec@5 83.594 (80.947) Epoch: [42][3480/10010] Time 0.338 (0.328) Data 0.001 (0.001) Loss 1.5115 (1.7932) Prec@1 64.062 (59.166) Prec@5 87.500 (80.949) Epoch: [42][3490/10010] Time 0.323 (0.328) Data 0.001 (0.001) Loss 1.5633 (1.7930) Prec@1 67.969 (59.174) Prec@5 83.594 (80.949) Epoch: [42][3500/10010] Time 0.335 (0.328) Data 0.001 (0.001) Loss 1.9479 (1.7929) Prec@1 49.219 (59.176) Prec@5 78.125 (80.953) Epoch: [42][3510/10010] Time 0.338 (0.328) Data 0.001 (0.001) Loss 1.7681 (1.7928) Prec@1 61.719 (59.175) Prec@5 79.688 (80.953) Epoch: [42][3520/10010] Time 0.320 (0.328) Data 0.000 (0.001) Loss 1.8665 (1.7928) Prec@1 58.594 (59.178) Prec@5 78.906 (80.954) Epoch: [42][3530/10010] Time 0.333 (0.328) Data 0.000 (0.001) Loss 1.8197 (1.7928) Prec@1 53.906 (59.173) Prec@5 78.125 (80.951) Epoch: [42][3540/10010] Time 0.339 (0.328) Data 0.001 (0.001) Loss 1.5799 (1.7928) Prec@1 63.281 (59.169) Prec@5 84.375 (80.950) Epoch: [42][3550/10010] Time 0.337 (0.328) Data 0.000 (0.001) Loss 1.8534 (1.7927) Prec@1 59.375 (59.168) Prec@5 81.250 (80.953) Epoch: [42][3560/10010] Time 0.336 (0.328) Data 0.001 (0.001) Loss 1.9094 (1.7928) Prec@1 56.250 (59.163) Prec@5 78.906 (80.951) Epoch: [42][3570/10010] Time 0.331 (0.328) Data 0.001 (0.001) Loss 1.6227 (1.7926) Prec@1 61.719 (59.165) Prec@5 79.688 (80.955) Epoch: [42][3580/10010] Time 0.314 (0.328) Data 0.001 (0.001) Loss 1.8072 (1.7926) Prec@1 63.281 (59.167) Prec@5 78.906 (80.955) Epoch: [42][3590/10010] Time 0.319 (0.328) Data 0.001 (0.001) Loss 2.0480 (1.7925) Prec@1 52.344 (59.164) Prec@5 75.000 (80.955) Epoch: [42][3600/10010] Time 0.340 (0.328) Data 0.000 (0.001) Loss 1.7068 (1.7926) Prec@1 60.938 (59.169) Prec@5 81.250 (80.955) Epoch: [42][3610/10010] Time 0.340 (0.328) Data 0.001 (0.001) Loss 2.1901 (1.7927) Prec@1 50.781 (59.167) Prec@5 78.906 (80.954) Epoch: [42][3620/10010] Time 0.331 (0.328) Data 0.001 (0.001) Loss 2.3779 (1.7929) Prec@1 43.750 (59.159) Prec@5 72.656 (80.956) Epoch: [42][3630/10010] Time 0.321 (0.328) Data 0.001 (0.001) Loss 1.8401 (1.7929) Prec@1 57.812 (59.158) Prec@5 79.688 (80.957) Epoch: [42][3640/10010] Time 0.334 (0.328) Data 0.001 (0.001) Loss 1.7968 (1.7929) Prec@1 63.281 (59.159) Prec@5 83.594 (80.957) Epoch: [42][3650/10010] Time 0.307 (0.328) Data 0.001 (0.001) Loss 1.8122 (1.7929) Prec@1 64.062 (59.158) Prec@5 83.594 (80.958) Epoch: [42][3660/10010] Time 0.339 (0.328) Data 0.001 (0.001) Loss 1.5945 (1.7931) Prec@1 66.406 (59.153) Prec@5 82.812 (80.956) Epoch: [42][3670/10010] Time 0.315 (0.328) Data 0.001 (0.001) Loss 1.7363 (1.7933) Prec@1 53.125 (59.152) Prec@5 85.938 (80.958) /data/vision/torralba/deepscene/lib/anaconda2/lib/python2.7/site-packages/PIL/TiffImagePlugin.py:692: UserWarning: Possibly corrupt EXIF data. Expecting to read 2555904 bytes but only got 0. Skipping tag 0 "Skipping tag %s" % (size, len(data), tag)) Epoch: [42][3680/10010] Time 0.327 (0.328) Data 0.001 (0.001) Loss 1.9487 (1.7936) Prec@1 56.250 (59.151) Prec@5 81.250 (80.956) Epoch: [42][3690/10010] Time 0.341 (0.328) Data 0.001 (0.001) Loss 1.7982 (1.7940) Prec@1 57.031 (59.146) Prec@5 83.594 (80.953) Epoch: [42][3700/10010] Time 0.317 (0.328) Data 0.001 (0.001) Loss 1.9475 (1.7940) Prec@1 54.688 (59.144) Prec@5 73.438 (80.950) Epoch: [42][3710/10010] Time 0.320 (0.328) Data 0.001 (0.001) Loss 1.7292 (1.7942) Prec@1 59.375 (59.140) Prec@5 79.688 (80.946) Epoch: [42][3720/10010] Time 0.326 (0.328) Data 0.001 (0.001) Loss 1.6277 (1.7942) Prec@1 58.594 (59.138) Prec@5 82.812 (80.945) Epoch: [42][3730/10010] Time 0.328 (0.328) Data 0.000 (0.001) Loss 1.8402 (1.7942) Prec@1 60.938 (59.138) Prec@5 75.781 (80.942) Epoch: [42][3740/10010] Time 0.332 (0.328) Data 0.001 (0.001) Loss 1.4807 (1.7942) Prec@1 63.281 (59.142) Prec@5 86.719 (80.946) Epoch: [42][3750/10010] Time 0.347 (0.328) Data 0.001 (0.001) Loss 1.5018 (1.7940) Prec@1 62.500 (59.143) Prec@5 88.281 (80.950) Epoch: [42][3760/10010] Time 0.315 (0.328) Data 0.000 (0.001) Loss 1.7651 (1.7942) Prec@1 57.812 (59.139) Prec@5 82.031 (80.947) Epoch: [42][3770/10010] Time 0.329 (0.328) Data 0.001 (0.001) Loss 1.9973 (1.7944) Prec@1 54.688 (59.135) Prec@5 78.906 (80.941) /data/vision/torralba/deepscene/lib/anaconda2/lib/python2.7/site-packages/PIL/TiffImagePlugin.py:692: UserWarning: Possibly corrupt EXIF data. Expecting to read 1835008 bytes but only got 0. Skipping tag 0 "Skipping tag %s" % (size, len(data), tag)) Epoch: [42][3780/10010] Time 0.338 (0.328) Data 0.001 (0.001) Loss 1.7239 (1.7945) Prec@1 57.812 (59.136) Prec@5 84.375 (80.937) Epoch: [42][3790/10010] Time 0.327 (0.328) Data 0.000 (0.001) Loss 2.1324 (1.7946) Prec@1 50.781 (59.131) Prec@5 75.000 (80.933) Epoch: [42][3800/10010] Time 0.327 (0.328) Data 0.001 (0.001) Loss 1.5350 (1.7948) Prec@1 62.500 (59.130) Prec@5 86.719 (80.931) Epoch: [42][3810/10010] Time 0.337 (0.328) Data 0.001 (0.001) Loss 1.5694 (1.7950) Prec@1 68.750 (59.126) Prec@5 82.031 (80.928) Epoch: [42][3820/10010] Time 0.317 (0.328) Data 0.001 (0.001) Loss 1.8059 (1.7949) Prec@1 58.594 (59.128) Prec@5 83.594 (80.929) Epoch: [42][3830/10010] Time 0.337 (0.328) Data 0.001 (0.001) Loss 1.5203 (1.7947) Prec@1 66.406 (59.133) Prec@5 84.375 (80.933) Epoch: [42][3840/10010] Time 0.334 (0.328) Data 0.001 (0.001) Loss 1.7964 (1.7948) Prec@1 53.125 (59.132) Prec@5 79.688 (80.931) Epoch: [42][3850/10010] Time 0.316 (0.328) Data 0.001 (0.001) Loss 1.6465 (1.7948) Prec@1 60.938 (59.126) Prec@5 83.594 (80.934) Epoch: [42][3860/10010] Time 0.325 (0.328) Data 0.001 (0.001) Loss 1.8930 (1.7948) Prec@1 63.281 (59.129) Prec@5 80.469 (80.932) Epoch: [42][3870/10010] Time 0.337 (0.328) Data 0.000 (0.001) Loss 1.6835 (1.7949) Prec@1 63.281 (59.127) Prec@5 82.031 (80.932) Epoch: [42][3880/10010] Time 0.312 (0.328) Data 0.001 (0.001) Loss 1.9115 (1.7949) Prec@1 54.688 (59.126) Prec@5 77.344 (80.929) Epoch: [42][3890/10010] Time 0.317 (0.328) Data 0.001 (0.001) Loss 1.5755 (1.7949) Prec@1 60.156 (59.123) Prec@5 85.938 (80.927) Epoch: [42][3900/10010] Time 0.335 (0.328) Data 0.001 (0.001) Loss 1.7945 (1.7947) Prec@1 60.156 (59.129) Prec@5 78.906 (80.929) Epoch: [42][3910/10010] Time 0.324 (0.328) Data 0.001 (0.001) Loss 1.5934 (1.7948) Prec@1 63.281 (59.128) Prec@5 85.938 (80.929) Epoch: [42][3920/10010] Time 0.317 (0.328) Data 0.001 (0.001) Loss 1.7900 (1.7948) Prec@1 57.812 (59.127) Prec@5 78.125 (80.929) Epoch: [42][3930/10010] Time 0.329 (0.328) Data 0.001 (0.001) Loss 2.1108 (1.7948) Prec@1 56.250 (59.126) Prec@5 75.000 (80.931) Epoch: [42][3940/10010] Time 0.327 (0.328) Data 0.001 (0.001) Loss 1.6116 (1.7950) Prec@1 63.281 (59.123) Prec@5 85.156 (80.925) Epoch: [42][3950/10010] Time 0.315 (0.328) Data 0.001 (0.001) Loss 1.9888 (1.7950) Prec@1 54.688 (59.129) Prec@5 77.344 (80.925) Epoch: [42][3960/10010] Time 0.327 (0.328) Data 0.001 (0.001) Loss 1.7312 (1.7952) Prec@1 55.469 (59.125) Prec@5 82.031 (80.924) Epoch: [42][3970/10010] Time 0.323 (0.328) Data 0.001 (0.001) Loss 1.7606 (1.7953) Prec@1 62.500 (59.120) Prec@5 82.031 (80.918) Epoch: [42][3980/10010] Time 0.330 (0.328) Data 0.000 (0.001) Loss 1.5387 (1.7950) Prec@1 60.938 (59.128) Prec@5 86.719 (80.922) Epoch: [42][3990/10010] Time 0.320 (0.328) Data 0.000 (0.001) Loss 2.1111 (1.7950) Prec@1 52.344 (59.123) Prec@5 75.781 (80.923) Epoch: [42][4000/10010] Time 0.330 (0.328) Data 0.000 (0.001) Loss 1.6771 (1.7950) Prec@1 62.500 (59.125) Prec@5 81.250 (80.921) Epoch: [42][4010/10010] Time 0.332 (0.328) Data 0.001 (0.001) Loss 1.8118 (1.7954) Prec@1 57.031 (59.121) Prec@5 81.250 (80.915) Epoch: [42][4020/10010] Time 0.331 (0.328) Data 0.001 (0.001) Loss 2.0528 (1.7955) Prec@1 55.469 (59.119) Prec@5 74.219 (80.912) Epoch: [42][4030/10010] Time 0.324 (0.328) Data 0.001 (0.001) Loss 1.6734 (1.7954) Prec@1 63.281 (59.120) Prec@5 82.812 (80.916) Epoch: [42][4040/10010] Time 0.320 (0.328) Data 0.001 (0.001) Loss 1.8272 (1.7954) Prec@1 54.688 (59.119) Prec@5 82.031 (80.917) Epoch: [42][4050/10010] Time 0.321 (0.328) Data 0.000 (0.001) Loss 1.9120 (1.7954) Prec@1 55.469 (59.116) Prec@5 80.469 (80.914) Epoch: [42][4060/10010] Time 0.332 (0.328) Data 0.001 (0.001) Loss 1.9718 (1.7955) Prec@1 57.031 (59.112) Prec@5 75.000 (80.912) Epoch: [42][4070/10010] Time 0.322 (0.328) Data 0.001 (0.001) Loss 1.3257 (1.7953) Prec@1 70.312 (59.115) Prec@5 88.281 (80.915) Epoch: [42][4080/10010] Time 0.337 (0.328) Data 0.001 (0.001) Loss 2.3176 (1.7954) Prec@1 48.438 (59.111) Prec@5 75.781 (80.914) Epoch: [42][4090/10010] Time 0.321 (0.328) Data 0.000 (0.001) Loss 2.2631 (1.7955) Prec@1 53.906 (59.108) Prec@5 75.000 (80.914) Epoch: [42][4100/10010] Time 0.335 (0.328) Data 0.001 (0.001) Loss 2.0130 (1.7957) Prec@1 55.469 (59.104) Prec@5 81.250 (80.912) Epoch: [42][4110/10010] Time 0.314 (0.328) Data 0.001 (0.001) Loss 1.9539 (1.7958) Prec@1 58.594 (59.103) Prec@5 79.688 (80.910) Epoch: [42][4120/10010] Time 0.320 (0.328) Data 0.000 (0.001) Loss 1.6843 (1.7959) Prec@1 60.156 (59.102) Prec@5 81.250 (80.909) Epoch: [42][4130/10010] Time 0.321 (0.328) Data 0.001 (0.001) Loss 2.0087 (1.7960) Prec@1 55.469 (59.096) Prec@5 80.469 (80.909) Epoch: [42][4140/10010] Time 0.316 (0.328) Data 0.001 (0.001) Loss 1.6411 (1.7961) Prec@1 60.938 (59.097) Prec@5 84.375 (80.908) Epoch: [42][4150/10010] Time 0.334 (0.328) Data 0.001 (0.001) Loss 1.6598 (1.7961) Prec@1 61.719 (59.094) Prec@5 85.156 (80.910) Epoch: [42][4160/10010] Time 0.334 (0.328) Data 0.001 (0.001) Loss 1.8374 (1.7961) Prec@1 62.500 (59.094) Prec@5 77.344 (80.908) Epoch: [42][4170/10010] Time 0.332 (0.328) Data 0.000 (0.001) Loss 1.4711 (1.7959) Prec@1 65.625 (59.098) Prec@5 82.031 (80.909) Epoch: [42][4180/10010] Time 0.329 (0.328) Data 0.001 (0.001) Loss 1.4482 (1.7958) Prec@1 67.188 (59.100) Prec@5 82.812 (80.911) Epoch: [42][4190/10010] Time 0.325 (0.328) Data 0.001 (0.001) Loss 1.4482 (1.7957) Prec@1 70.312 (59.101) Prec@5 87.500 (80.914) Epoch: [42][4200/10010] Time 0.322 (0.328) Data 0.001 (0.001) Loss 1.6251 (1.7957) Prec@1 60.938 (59.099) Prec@5 82.031 (80.915) Epoch: [42][4210/10010] Time 0.320 (0.328) Data 0.000 (0.001) Loss 1.8852 (1.7953) Prec@1 53.125 (59.105) Prec@5 82.031 (80.918) Epoch: [42][4220/10010] Time 0.335 (0.328) Data 0.001 (0.001) Loss 1.5868 (1.7952) Prec@1 57.031 (59.101) Prec@5 82.812 (80.919) Epoch: [42][4230/10010] Time 0.322 (0.328) Data 0.001 (0.001) Loss 1.9300 (1.7954) Prec@1 54.688 (59.101) Prec@5 76.562 (80.916) Epoch: [42][4240/10010] Time 0.327 (0.328) Data 0.001 (0.001) Loss 1.4072 (1.7952) Prec@1 64.844 (59.106) Prec@5 86.719 (80.918) Epoch: [42][4250/10010] Time 0.341 (0.328) Data 0.000 (0.001) Loss 1.5778 (1.7953) Prec@1 61.719 (59.104) Prec@5 82.031 (80.918) Epoch: [42][4260/10010] Time 0.325 (0.328) Data 0.001 (0.001) Loss 1.6991 (1.7955) Prec@1 55.469 (59.100) Prec@5 82.031 (80.914) Epoch: [42][4270/10010] Time 0.324 (0.328) Data 0.001 (0.001) Loss 1.4545 (1.7956) Prec@1 67.969 (59.097) Prec@5 83.594 (80.911) Epoch: [42][4280/10010] Time 0.317 (0.328) Data 0.001 (0.001) Loss 1.6171 (1.7956) Prec@1 67.969 (59.099) Prec@5 83.594 (80.913) Epoch: [42][4290/10010] Time 0.320 (0.328) Data 0.001 (0.001) Loss 2.0587 (1.7957) Prec@1 51.562 (59.098) Prec@5 78.125 (80.912) Epoch: [42][4300/10010] Time 0.314 (0.328) Data 0.001 (0.001) Loss 1.6535 (1.7954) Prec@1 63.281 (59.101) Prec@5 81.250 (80.917) Epoch: [42][4310/10010] Time 0.330 (0.328) Data 0.001 (0.001) Loss 1.8417 (1.7956) Prec@1 61.719 (59.103) Prec@5 78.125 (80.915) Epoch: [42][4320/10010] Time 0.316 (0.328) Data 0.001 (0.001) Loss 1.8862 (1.7955) Prec@1 57.812 (59.107) Prec@5 78.125 (80.913) Epoch: [42][4330/10010] Time 0.321 (0.328) Data 0.001 (0.001) Loss 1.9403 (1.7956) Prec@1 52.344 (59.102) Prec@5 81.250 (80.914) Epoch: [42][4340/10010] Time 0.322 (0.328) Data 0.001 (0.001) Loss 1.4309 (1.7956) Prec@1 67.188 (59.098) Prec@5 85.156 (80.913) Epoch: [42][4350/10010] Time 0.338 (0.328) Data 0.001 (0.001) Loss 1.6019 (1.7956) Prec@1 64.844 (59.098) Prec@5 82.031 (80.914) Epoch: [42][4360/10010] Time 0.332 (0.328) Data 0.001 (0.001) Loss 2.0604 (1.7956) Prec@1 56.250 (59.101) Prec@5 74.219 (80.913) Epoch: [42][4370/10010] Time 0.338 (0.328) Data 0.000 (0.001) Loss 1.9113 (1.7957) Prec@1 55.469 (59.098) Prec@5 81.250 (80.913) Epoch: [42][4380/10010] Time 0.330 (0.328) Data 0.001 (0.001) Loss 1.5797 (1.7957) Prec@1 64.062 (59.101) Prec@5 88.281 (80.914) Epoch: [42][4390/10010] Time 0.328 (0.328) Data 0.001 (0.001) Loss 2.0161 (1.7956) Prec@1 50.781 (59.103) Prec@5 79.688 (80.915) Epoch: [42][4400/10010] Time 0.313 (0.328) Data 0.001 (0.001) Loss 1.7387 (1.7957) Prec@1 54.688 (59.104) Prec@5 82.812 (80.914) Epoch: [42][4410/10010] Time 0.324 (0.328) Data 0.001 (0.001) Loss 1.9324 (1.7957) Prec@1 53.906 (59.101) Prec@5 80.469 (80.913) Epoch: [42][4420/10010] Time 0.318 (0.328) Data 0.001 (0.001) Loss 1.6105 (1.7957) Prec@1 64.062 (59.102) Prec@5 85.156 (80.914) Epoch: [42][4430/10010] Time 0.331 (0.328) Data 0.001 (0.001) Loss 1.6888 (1.7955) Prec@1 60.938 (59.108) Prec@5 79.688 (80.918) Epoch: [42][4440/10010] Time 0.336 (0.328) Data 0.001 (0.001) Loss 2.1111 (1.7955) Prec@1 44.531 (59.104) Prec@5 75.000 (80.919) Epoch: [42][4450/10010] Time 0.332 (0.328) Data 0.001 (0.001) Loss 1.7038 (1.7956) Prec@1 59.375 (59.104) Prec@5 84.375 (80.919) Epoch: [42][4460/10010] Time 0.317 (0.328) Data 0.001 (0.001) Loss 1.9588 (1.7953) Prec@1 52.344 (59.111) Prec@5 82.031 (80.924) Epoch: [42][4470/10010] Time 0.336 (0.328) Data 0.001 (0.001) Loss 1.7826 (1.7954) Prec@1 57.812 (59.109) Prec@5 81.250 (80.923) Epoch: [42][4480/10010] Time 0.341 (0.328) Data 0.000 (0.001) Loss 1.7790 (1.7953) Prec@1 60.938 (59.109) Prec@5 82.812 (80.924) Epoch: [42][4490/10010] Time 0.324 (0.328) Data 0.001 (0.001) Loss 1.8537 (1.7951) Prec@1 53.906 (59.112) Prec@5 78.906 (80.925) Epoch: [42][4500/10010] Time 0.336 (0.328) Data 0.001 (0.001) Loss 1.5867 (1.7952) Prec@1 67.969 (59.110) Prec@5 79.688 (80.922) Epoch: [42][4510/10010] Time 0.341 (0.328) Data 0.000 (0.001) Loss 1.9896 (1.7954) Prec@1 55.469 (59.107) Prec@5 75.781 (80.919) Epoch: [42][4520/10010] Time 0.322 (0.328) Data 0.001 (0.001) Loss 1.8939 (1.7953) Prec@1 57.812 (59.107) Prec@5 82.031 (80.922) Epoch: [42][4530/10010] Time 0.319 (0.328) Data 0.000 (0.001) Loss 1.8224 (1.7954) Prec@1 58.594 (59.106) Prec@5 82.031 (80.920) Epoch: [42][4540/10010] Time 0.338 (0.328) Data 0.001 (0.001) Loss 1.9320 (1.7956) Prec@1 57.812 (59.104) Prec@5 79.688 (80.917) Epoch: [42][4550/10010] Time 0.315 (0.328) Data 0.001 (0.001) Loss 1.7824 (1.7956) Prec@1 54.688 (59.101) Prec@5 80.469 (80.916) Epoch: [42][4560/10010] Time 0.311 (0.328) Data 0.001 (0.001) Loss 2.1602 (1.7957) Prec@1 52.344 (59.101) Prec@5 78.125 (80.915) Epoch: [42][4570/10010] Time 0.318 (0.328) Data 0.000 (0.001) Loss 1.6047 (1.7957) Prec@1 58.594 (59.104) Prec@5 85.156 (80.917) Epoch: [42][4580/10010] Time 0.333 (0.328) Data 0.001 (0.001) Loss 2.0160 (1.7958) Prec@1 50.781 (59.099) Prec@5 78.906 (80.913) Epoch: [42][4590/10010] Time 0.321 (0.328) Data 0.001 (0.001) Loss 2.0142 (1.7960) Prec@1 57.031 (59.093) Prec@5 75.781 (80.910) Epoch: [42][4600/10010] Time 0.323 (0.328) Data 0.001 (0.001) Loss 1.9018 (1.7962) Prec@1 56.250 (59.093) Prec@5 78.906 (80.907) Epoch: [42][4610/10010] Time 0.335 (0.328) Data 0.001 (0.001) Loss 1.7244 (1.7961) Prec@1 56.250 (59.095) Prec@5 84.375 (80.908) Epoch: [42][4620/10010] Time 0.334 (0.328) Data 0.001 (0.001) Loss 1.5549 (1.7960) Prec@1 62.500 (59.096) Prec@5 85.156 (80.910) Epoch: [42][4630/10010] Time 0.329 (0.328) Data 0.001 (0.001) Loss 1.4487 (1.7959) Prec@1 67.188 (59.098) Prec@5 87.500 (80.909) Epoch: [42][4640/10010] Time 0.322 (0.328) Data 0.001 (0.001) Loss 2.0194 (1.7960) Prec@1 55.469 (59.099) Prec@5 75.781 (80.906) Epoch: [42][4650/10010] Time 0.321 (0.328) Data 0.001 (0.001) Loss 1.8823 (1.7963) Prec@1 60.938 (59.096) Prec@5 79.688 (80.901) Epoch: [42][4660/10010] Time 0.323 (0.328) Data 0.001 (0.001) Loss 1.9708 (1.7963) Prec@1 57.812 (59.096) Prec@5 77.344 (80.900) Epoch: [42][4670/10010] Time 0.322 (0.328) Data 0.001 (0.001) Loss 2.1583 (1.7965) Prec@1 59.375 (59.098) Prec@5 75.781 (80.896) Epoch: [42][4680/10010] Time 0.315 (0.328) Data 0.001 (0.001) Loss 2.1634 (1.7967) Prec@1 53.125 (59.096) Prec@5 78.906 (80.893) Epoch: [42][4690/10010] Time 0.331 (0.328) Data 0.001 (0.001) Loss 1.9244 (1.7966) Prec@1 57.812 (59.097) Prec@5 77.344 (80.891) Epoch: [42][4700/10010] Time 0.330 (0.328) Data 0.001 (0.001) Loss 2.0649 (1.7966) Prec@1 49.219 (59.097) Prec@5 78.125 (80.893) Epoch: [42][4710/10010] Time 0.334 (0.328) Data 0.001 (0.001) Loss 1.5951 (1.7966) Prec@1 59.375 (59.095) Prec@5 85.156 (80.892) Epoch: [42][4720/10010] Time 0.320 (0.328) Data 0.001 (0.001) Loss 1.6821 (1.7966) Prec@1 62.500 (59.096) Prec@5 81.250 (80.892) Epoch: [42][4730/10010] Time 0.322 (0.328) Data 0.001 (0.001) Loss 1.4327 (1.7965) Prec@1 67.188 (59.096) Prec@5 81.250 (80.893) Epoch: [42][4740/10010] Time 0.321 (0.328) Data 0.000 (0.001) Loss 1.9272 (1.7967) Prec@1 60.938 (59.095) Prec@5 78.125 (80.890) Epoch: [42][4750/10010] Time 0.337 (0.328) Data 0.001 (0.001) Loss 1.5139 (1.7966) Prec@1 65.625 (59.096) Prec@5 85.156 (80.891) Epoch: [42][4760/10010] Time 0.338 (0.328) Data 0.000 (0.001) Loss 2.0968 (1.7968) Prec@1 48.438 (59.090) Prec@5 77.344 (80.888) Epoch: [42][4770/10010] Time 0.327 (0.328) Data 0.000 (0.001) Loss 1.6284 (1.7966) Prec@1 65.625 (59.094) Prec@5 83.594 (80.891) Epoch: [42][4780/10010] Time 0.337 (0.328) Data 0.001 (0.001) Loss 2.2279 (1.7966) Prec@1 50.000 (59.096) Prec@5 75.000 (80.891) Epoch: [42][4790/10010] Time 0.332 (0.328) Data 0.000 (0.001) Loss 2.1420 (1.7967) Prec@1 55.469 (59.095) Prec@5 75.781 (80.890) Epoch: [42][4800/10010] Time 0.331 (0.328) Data 0.001 (0.001) Loss 2.0781 (1.7968) Prec@1 57.031 (59.094) Prec@5 76.562 (80.888) Epoch: [42][4810/10010] Time 0.312 (0.328) Data 0.000 (0.001) Loss 1.6921 (1.7969) Prec@1 60.938 (59.092) Prec@5 83.594 (80.889) Epoch: [42][4820/10010] Time 0.319 (0.327) Data 0.001 (0.001) Loss 1.7945 (1.7969) Prec@1 56.250 (59.091) Prec@5 82.031 (80.890) Epoch: [42][4830/10010] Time 0.319 (0.327) Data 0.001 (0.001) Loss 1.7515 (1.7969) Prec@1 53.906 (59.086) Prec@5 81.250 (80.889) Epoch: [42][4840/10010] Time 0.326 (0.327) Data 0.001 (0.001) Loss 1.8480 (1.7969) Prec@1 53.906 (59.086) Prec@5 80.469 (80.888) Epoch: [42][4850/10010] Time 0.329 (0.327) Data 0.001 (0.001) Loss 1.4137 (1.7967) Prec@1 68.750 (59.091) Prec@5 85.938 (80.892) Epoch: [42][4860/10010] Time 0.310 (0.327) Data 0.001 (0.001) Loss 1.5902 (1.7967) Prec@1 60.156 (59.091) Prec@5 85.156 (80.893) Epoch: [42][4870/10010] Time 0.333 (0.327) Data 0.001 (0.001) Loss 1.7732 (1.7967) Prec@1 60.938 (59.090) Prec@5 78.125 (80.891) Epoch: [42][4880/10010] Time 0.325 (0.327) Data 0.001 (0.001) Loss 1.6749 (1.7968) Prec@1 59.375 (59.089) Prec@5 85.156 (80.893) Epoch: [42][4890/10010] Time 0.329 (0.327) Data 0.001 (0.001) Loss 1.7990 (1.7969) Prec@1 59.375 (59.087) Prec@5 80.469 (80.893) Epoch: [42][4900/10010] Time 0.323 (0.327) Data 0.001 (0.001) Loss 1.9673 (1.7969) Prec@1 56.250 (59.086) Prec@5 76.562 (80.891) Epoch: [42][4910/10010] Time 0.328 (0.327) Data 0.001 (0.001) Loss 1.5758 (1.7969) Prec@1 65.625 (59.084) Prec@5 84.375 (80.893) Epoch: [42][4920/10010] Time 0.334 (0.327) Data 0.001 (0.001) Loss 1.7359 (1.7969) Prec@1 60.938 (59.088) Prec@5 83.594 (80.896) Epoch: [42][4930/10010] Time 0.321 (0.327) Data 0.000 (0.001) Loss 1.8587 (1.7970) Prec@1 55.469 (59.085) Prec@5 77.344 (80.893) Epoch: [42][4940/10010] Time 0.337 (0.327) Data 0.001 (0.001) Loss 1.7815 (1.7972) Prec@1 58.594 (59.079) Prec@5 81.250 (80.891) Epoch: [42][4950/10010] Time 0.333 (0.327) Data 0.001 (0.001) Loss 1.9070 (1.7975) Prec@1 59.375 (59.075) Prec@5 77.344 (80.887) Epoch: [42][4960/10010] Time 0.338 (0.327) Data 0.000 (0.001) Loss 1.5079 (1.7972) Prec@1 60.156 (59.079) Prec@5 84.375 (80.891) Epoch: [42][4970/10010] Time 0.328 (0.327) Data 0.001 (0.001) Loss 2.0219 (1.7972) Prec@1 60.156 (59.079) Prec@5 77.344 (80.891) Epoch: [42][4980/10010] Time 0.331 (0.327) Data 0.001 (0.001) Loss 2.0426 (1.7973) Prec@1 54.688 (59.078) Prec@5 72.656 (80.887) Epoch: [42][4990/10010] Time 0.317 (0.327) Data 0.001 (0.001) Loss 1.9605 (1.7974) Prec@1 59.375 (59.077) Prec@5 76.562 (80.886) Epoch: [42][5000/10010] Time 0.329 (0.327) Data 0.001 (0.001) Loss 1.8431 (1.7973) Prec@1 60.938 (59.080) Prec@5 84.375 (80.889) Epoch: [42][5010/10010] Time 0.319 (0.327) Data 0.001 (0.001) Loss 1.8530 (1.7972) Prec@1 58.594 (59.080) Prec@5 78.125 (80.889) Epoch: [42][5020/10010] Time 0.339 (0.327) Data 0.001 (0.001) Loss 1.7072 (1.7972) Prec@1 61.719 (59.080) Prec@5 82.031 (80.890) Epoch: [42][5030/10010] Time 0.339 (0.327) Data 0.001 (0.001) Loss 1.9235 (1.7972) Prec@1 53.906 (59.078) Prec@5 80.469 (80.890) Epoch: [42][5040/10010] Time 0.325 (0.327) Data 0.001 (0.001) Loss 1.6591 (1.7970) Prec@1 64.062 (59.084) Prec@5 80.469 (80.893) Epoch: [42][5050/10010] Time 0.342 (0.327) Data 0.000 (0.001) Loss 1.7214 (1.7968) Prec@1 65.625 (59.090) Prec@5 82.812 (80.896) Epoch: [42][5060/10010] Time 0.317 (0.327) Data 0.000 (0.001) Loss 1.8085 (1.7967) Prec@1 59.375 (59.090) Prec@5 79.688 (80.895) Epoch: [42][5070/10010] Time 0.336 (0.327) Data 0.001 (0.001) Loss 1.7382 (1.7968) Prec@1 64.844 (59.089) Prec@5 79.688 (80.891) Epoch: [42][5080/10010] Time 0.341 (0.327) Data 0.000 (0.001) Loss 1.7822 (1.7969) Prec@1 61.719 (59.092) Prec@5 83.594 (80.890) Epoch: [42][5090/10010] Time 0.332 (0.327) Data 0.001 (0.001) Loss 1.6836 (1.7968) Prec@1 61.719 (59.092) Prec@5 80.469 (80.889) Epoch: [42][5100/10010] Time 0.335 (0.327) Data 0.001 (0.001) Loss 1.8040 (1.7968) Prec@1 55.469 (59.091) Prec@5 82.031 (80.892) Epoch: [42][5110/10010] Time 0.327 (0.327) Data 0.001 (0.001) Loss 1.9250 (1.7967) Prec@1 56.250 (59.091) Prec@5 78.906 (80.893) Epoch: [42][5120/10010] Time 0.335 (0.327) Data 0.001 (0.001) Loss 2.0125 (1.7967) Prec@1 50.781 (59.091) Prec@5 80.469 (80.895) Epoch: [42][5130/10010] Time 0.325 (0.327) Data 0.000 (0.001) Loss 1.4509 (1.7967) Prec@1 64.844 (59.093) Prec@5 84.375 (80.893) Epoch: [42][5140/10010] Time 0.319 (0.327) Data 0.001 (0.001) Loss 1.8019 (1.7968) Prec@1 55.469 (59.087) Prec@5 79.688 (80.892) Epoch: [42][5150/10010] Time 0.341 (0.327) Data 0.001 (0.001) Loss 2.0548 (1.7969) Prec@1 56.250 (59.086) Prec@5 76.562 (80.890) Epoch: [42][5160/10010] Time 0.320 (0.327) Data 0.001 (0.001) Loss 1.8089 (1.7971) Prec@1 59.375 (59.081) Prec@5 80.469 (80.888) Epoch: [42][5170/10010] Time 0.313 (0.327) Data 0.001 (0.001) Loss 1.9587 (1.7970) Prec@1 53.906 (59.083) Prec@5 78.906 (80.889) Epoch: [42][5180/10010] Time 0.321 (0.327) Data 0.001 (0.001) Loss 1.6523 (1.7970) Prec@1 61.719 (59.081) Prec@5 86.719 (80.890) Epoch: [42][5190/10010] Time 0.340 (0.327) Data 0.001 (0.001) Loss 1.6322 (1.7970) Prec@1 59.375 (59.080) Prec@5 85.156 (80.891) Epoch: [42][5200/10010] Time 0.314 (0.327) Data 0.001 (0.001) Loss 1.8190 (1.7972) Prec@1 60.938 (59.078) Prec@5 78.906 (80.888) Epoch: [42][5210/10010] Time 0.326 (0.327) Data 0.001 (0.001) Loss 1.4497 (1.7970) Prec@1 65.625 (59.081) Prec@5 85.156 (80.891) Epoch: [42][5220/10010] Time 0.322 (0.327) Data 0.001 (0.001) Loss 1.7376 (1.7971) Prec@1 60.938 (59.079) Prec@5 82.812 (80.889) Epoch: [42][5230/10010] Time 0.316 (0.327) Data 0.001 (0.001) Loss 2.1559 (1.7972) Prec@1 57.812 (59.078) Prec@5 77.344 (80.888) Epoch: [42][5240/10010] Time 0.322 (0.327) Data 0.001 (0.001) Loss 1.9783 (1.7972) Prec@1 52.344 (59.078) Prec@5 75.000 (80.885) Epoch: [42][5250/10010] Time 0.320 (0.327) Data 0.001 (0.001) Loss 2.0439 (1.7974) Prec@1 55.469 (59.078) Prec@5 78.125 (80.883) Epoch: [42][5260/10010] Time 0.340 (0.327) Data 0.001 (0.001) Loss 1.6282 (1.7973) Prec@1 61.719 (59.077) Prec@5 84.375 (80.883) Epoch: [42][5270/10010] Time 0.327 (0.327) Data 0.001 (0.001) Loss 1.9031 (1.7975) Prec@1 58.594 (59.074) Prec@5 82.031 (80.879) Epoch: [42][5280/10010] Time 0.334 (0.327) Data 0.000 (0.001) Loss 1.7856 (1.7974) Prec@1 55.469 (59.074) Prec@5 80.469 (80.881) Epoch: [42][5290/10010] Time 0.314 (0.327) Data 0.000 (0.001) Loss 1.9126 (1.7973) Prec@1 56.250 (59.075) Prec@5 79.688 (80.885) Epoch: [42][5300/10010] Time 0.335 (0.327) Data 0.000 (0.001) Loss 1.4430 (1.7972) Prec@1 61.719 (59.076) Prec@5 85.938 (80.885) Epoch: [42][5310/10010] Time 0.324 (0.327) Data 0.000 (0.001) Loss 1.8364 (1.7971) Prec@1 60.938 (59.080) Prec@5 78.125 (80.888) Epoch: [42][5320/10010] Time 0.315 (0.327) Data 0.001 (0.001) Loss 2.0100 (1.7971) Prec@1 56.250 (59.079) Prec@5 75.000 (80.887) Epoch: [42][5330/10010] Time 0.339 (0.327) Data 0.000 (0.001) Loss 1.5416 (1.7972) Prec@1 65.625 (59.079) Prec@5 85.938 (80.886) Epoch: [42][5340/10010] Time 0.322 (0.327) Data 0.001 (0.001) Loss 1.6807 (1.7972) Prec@1 64.062 (59.077) Prec@5 81.250 (80.885) Epoch: [42][5350/10010] Time 0.340 (0.327) Data 0.000 (0.001) Loss 1.6874 (1.7972) Prec@1 62.500 (59.078) Prec@5 82.031 (80.885) Epoch: [42][5360/10010] Time 0.338 (0.327) Data 0.001 (0.001) Loss 2.1092 (1.7974) Prec@1 53.906 (59.073) Prec@5 74.219 (80.882) Epoch: [42][5370/10010] Time 0.335 (0.327) Data 0.001 (0.001) Loss 1.6090 (1.7973) Prec@1 59.375 (59.075) Prec@5 83.594 (80.883) Epoch: [42][5380/10010] Time 0.327 (0.327) Data 0.001 (0.001) Loss 2.2996 (1.7975) Prec@1 49.219 (59.072) Prec@5 74.219 (80.881) Epoch: [42][5390/10010] Time 0.337 (0.327) Data 0.001 (0.001) Loss 1.7791 (1.7976) Prec@1 59.375 (59.072) Prec@5 80.469 (80.881) Epoch: [42][5400/10010] Time 0.328 (0.327) Data 0.001 (0.001) Loss 2.3285 (1.7978) Prec@1 53.906 (59.066) Prec@5 75.000 (80.880) Epoch: [42][5410/10010] Time 0.321 (0.327) Data 0.000 (0.001) Loss 1.4241 (1.7977) Prec@1 63.281 (59.070) Prec@5 85.938 (80.880) Epoch: [42][5420/10010] Time 0.317 (0.327) Data 0.000 (0.001) Loss 1.7411 (1.7977) Prec@1 64.062 (59.071) Prec@5 79.688 (80.880) Epoch: [42][5430/10010] Time 0.342 (0.327) Data 0.000 (0.001) Loss 1.8770 (1.7978) Prec@1 54.688 (59.068) Prec@5 78.125 (80.880) Epoch: [42][5440/10010] Time 0.320 (0.327) Data 0.001 (0.001) Loss 1.7030 (1.7978) Prec@1 58.594 (59.069) Prec@5 85.156 (80.881) Epoch: [42][5450/10010] Time 0.333 (0.327) Data 0.000 (0.001) Loss 1.5592 (1.7977) Prec@1 67.188 (59.073) Prec@5 86.719 (80.882) Epoch: [42][5460/10010] Time 0.336 (0.327) Data 0.001 (0.001) Loss 1.9338 (1.7978) Prec@1 54.688 (59.070) Prec@5 82.031 (80.881) Epoch: [42][5470/10010] Time 0.321 (0.327) Data 0.000 (0.001) Loss 1.6791 (1.7980) Prec@1 59.375 (59.067) Prec@5 80.469 (80.876) Epoch: [42][5480/10010] Time 0.320 (0.327) Data 0.001 (0.001) Loss 2.1684 (1.7980) Prec@1 53.125 (59.065) Prec@5 73.438 (80.875) Epoch: [42][5490/10010] Time 0.313 (0.327) Data 0.000 (0.001) Loss 1.7634 (1.7981) Prec@1 59.375 (59.063) Prec@5 82.031 (80.875) Epoch: [42][5500/10010] Time 0.329 (0.327) Data 0.001 (0.001) Loss 2.0001 (1.7982) Prec@1 54.688 (59.060) Prec@5 77.344 (80.872) Epoch: [42][5510/10010] Time 0.315 (0.327) Data 0.001 (0.001) Loss 1.7307 (1.7981) Prec@1 60.938 (59.059) Prec@5 84.375 (80.873) Epoch: [42][5520/10010] Time 0.323 (0.327) Data 0.001 (0.001) Loss 1.6959 (1.7982) Prec@1 62.500 (59.060) Prec@5 81.250 (80.872) Epoch: [42][5530/10010] Time 0.337 (0.327) Data 0.000 (0.001) Loss 1.6191 (1.7981) Prec@1 64.062 (59.062) Prec@5 81.250 (80.874) Epoch: [42][5540/10010] Time 0.322 (0.327) Data 0.001 (0.001) Loss 1.7301 (1.7981) Prec@1 56.250 (59.060) Prec@5 79.688 (80.874) Epoch: [42][5550/10010] Time 0.318 (0.327) Data 0.000 (0.001) Loss 1.7874 (1.7982) Prec@1 60.156 (59.057) Prec@5 82.031 (80.874) Epoch: [42][5560/10010] Time 0.321 (0.327) Data 0.001 (0.001) Loss 1.9055 (1.7982) Prec@1 53.125 (59.059) Prec@5 82.812 (80.874) Epoch: [42][5570/10010] Time 0.340 (0.327) Data 0.000 (0.001) Loss 1.6478 (1.7982) Prec@1 61.719 (59.057) Prec@5 82.031 (80.874) Epoch: [42][5580/10010] Time 0.328 (0.327) Data 0.001 (0.001) Loss 2.0490 (1.7981) Prec@1 53.125 (59.060) Prec@5 71.875 (80.874) Epoch: [42][5590/10010] Time 0.331 (0.327) Data 0.000 (0.001) Loss 1.4915 (1.7983) Prec@1 64.062 (59.060) Prec@5 89.062 (80.874) Epoch: [42][5600/10010] Time 0.318 (0.327) Data 0.001 (0.001) Loss 1.7730 (1.7984) Prec@1 59.375 (59.056) Prec@5 80.469 (80.873) Epoch: [42][5610/10010] Time 0.333 (0.327) Data 0.000 (0.001) Loss 1.7789 (1.7985) Prec@1 64.062 (59.054) Prec@5 81.250 (80.872) Epoch: [42][5620/10010] Time 0.315 (0.327) Data 0.001 (0.001) Loss 1.8111 (1.7984) Prec@1 57.031 (59.054) Prec@5 78.125 (80.872) Epoch: [42][5630/10010] Time 0.340 (0.327) Data 0.000 (0.001) Loss 1.8428 (1.7986) Prec@1 57.812 (59.048) Prec@5 82.031 (80.869) Epoch: [42][5640/10010] Time 0.318 (0.327) Data 0.000 (0.001) Loss 1.8835 (1.7987) Prec@1 58.594 (59.047) Prec@5 78.906 (80.868) Epoch: [42][5650/10010] Time 0.333 (0.327) Data 0.001 (0.001) Loss 1.4632 (1.7985) Prec@1 62.500 (59.048) Prec@5 87.500 (80.872) Epoch: [42][5660/10010] Time 0.311 (0.327) Data 0.001 (0.001) Loss 1.4275 (1.7984) Prec@1 63.281 (59.048) Prec@5 85.938 (80.873) Epoch: [42][5670/10010] Time 0.323 (0.327) Data 0.001 (0.001) Loss 1.7327 (1.7984) Prec@1 64.844 (59.047) Prec@5 85.156 (80.872) Epoch: [42][5680/10010] Time 0.319 (0.327) Data 0.001 (0.001) Loss 1.6474 (1.7984) Prec@1 55.469 (59.049) Prec@5 82.812 (80.873) Epoch: [42][5690/10010] Time 0.341 (0.327) Data 0.001 (0.001) Loss 1.8470 (1.7983) Prec@1 57.031 (59.050) Prec@5 82.031 (80.876) Epoch: [42][5700/10010] Time 0.318 (0.327) Data 0.001 (0.001) Loss 1.8145 (1.7984) Prec@1 57.812 (59.046) Prec@5 79.688 (80.875) Epoch: [42][5710/10010] Time 0.322 (0.327) Data 0.001 (0.001) Loss 1.7195 (1.7983) Prec@1 59.375 (59.048) Prec@5 85.156 (80.876) Epoch: [42][5720/10010] Time 0.337 (0.327) Data 0.001 (0.001) Loss 1.8824 (1.7984) Prec@1 59.375 (59.046) Prec@5 77.344 (80.876) Epoch: [42][5730/10010] Time 0.326 (0.327) Data 0.001 (0.001) Loss 1.8070 (1.7983) Prec@1 57.812 (59.045) Prec@5 80.469 (80.876) Epoch: [42][5740/10010] Time 0.338 (0.327) Data 0.000 (0.001) Loss 1.7776 (1.7983) Prec@1 59.375 (59.045) Prec@5 78.906 (80.874) Epoch: [42][5750/10010] Time 0.334 (0.327) Data 0.000 (0.001) Loss 1.8228 (1.7985) Prec@1 59.375 (59.042) Prec@5 82.031 (80.872) Epoch: [42][5760/10010] Time 0.338 (0.327) Data 0.001 (0.001) Loss 1.6037 (1.7985) Prec@1 60.156 (59.042) Prec@5 82.812 (80.873) Epoch: [42][5770/10010] Time 0.322 (0.327) Data 0.001 (0.001) Loss 1.6768 (1.7984) Prec@1 60.938 (59.046) Prec@5 82.031 (80.874) Epoch: [42][5780/10010] Time 0.318 (0.327) Data 0.001 (0.001) Loss 1.7958 (1.7983) Prec@1 60.938 (59.047) Prec@5 79.688 (80.876) Epoch: [42][5790/10010] Time 0.322 (0.327) Data 0.001 (0.001) Loss 1.9616 (1.7983) Prec@1 53.125 (59.045) Prec@5 81.250 (80.876) Epoch: [42][5800/10010] Time 0.327 (0.327) Data 0.001 (0.001) Loss 1.7547 (1.7983) Prec@1 57.812 (59.048) Prec@5 81.250 (80.878) Epoch: [42][5810/10010] Time 0.322 (0.327) Data 0.001 (0.001) Loss 1.7832 (1.7983) Prec@1 59.375 (59.045) Prec@5 82.812 (80.878) Epoch: [42][5820/10010] Time 0.316 (0.327) Data 0.000 (0.001) Loss 1.8905 (1.7982) Prec@1 55.469 (59.046) Prec@5 82.812 (80.879) Epoch: [42][5830/10010] Time 0.328 (0.327) Data 0.000 (0.001) Loss 1.6512 (1.7983) Prec@1 60.156 (59.045) Prec@5 83.594 (80.879) Epoch: [42][5840/10010] Time 0.327 (0.327) Data 0.001 (0.001) Loss 1.7990 (1.7982) Prec@1 55.469 (59.047) Prec@5 78.906 (80.879) Epoch: [42][5850/10010] Time 0.340 (0.327) Data 0.001 (0.001) Loss 1.8993 (1.7980) Prec@1 58.594 (59.054) Prec@5 81.250 (80.881) Epoch: [42][5860/10010] Time 0.311 (0.327) Data 0.001 (0.001) Loss 1.7457 (1.7980) Prec@1 64.844 (59.052) Prec@5 82.031 (80.881) Epoch: [42][5870/10010] Time 0.337 (0.327) Data 0.000 (0.001) Loss 2.1247 (1.7982) Prec@1 50.781 (59.052) Prec@5 72.656 (80.879) Epoch: [42][5880/10010] Time 0.312 (0.327) Data 0.001 (0.001) Loss 1.6009 (1.7983) Prec@1 64.062 (59.048) Prec@5 82.812 (80.877) Epoch: [42][5890/10010] Time 0.320 (0.327) Data 0.001 (0.001) Loss 1.9407 (1.7985) Prec@1 60.156 (59.042) Prec@5 79.688 (80.872) Epoch: [42][5900/10010] Time 0.319 (0.327) Data 0.000 (0.001) Loss 1.6444 (1.7985) Prec@1 59.375 (59.042) Prec@5 82.812 (80.874) Epoch: [42][5910/10010] Time 0.326 (0.327) Data 0.001 (0.001) Loss 1.7218 (1.7986) Prec@1 57.812 (59.041) Prec@5 81.250 (80.870) Epoch: [42][5920/10010] Time 0.334 (0.327) Data 0.001 (0.001) Loss 1.5758 (1.7985) Prec@1 60.156 (59.040) Prec@5 85.938 (80.871) Epoch: [42][5930/10010] Time 0.318 (0.327) Data 0.000 (0.001) Loss 1.7127 (1.7984) Prec@1 59.375 (59.040) Prec@5 82.812 (80.873) Epoch: [42][5940/10010] Time 0.314 (0.327) Data 0.001 (0.001) Loss 1.4973 (1.7985) Prec@1 63.281 (59.038) Prec@5 85.938 (80.874) Epoch: [42][5950/10010] Time 0.321 (0.327) Data 0.000 (0.001) Loss 1.8760 (1.7986) Prec@1 57.031 (59.038) Prec@5 80.469 (80.872) Epoch: [42][5960/10010] Time 0.329 (0.327) Data 0.001 (0.001) Loss 1.8484 (1.7986) Prec@1 64.844 (59.038) Prec@5 81.250 (80.871) Epoch: [42][5970/10010] Time 0.316 (0.327) Data 0.001 (0.001) Loss 1.8762 (1.7986) Prec@1 57.031 (59.038) Prec@5 81.250 (80.872) Epoch: [42][5980/10010] Time 0.335 (0.327) Data 0.000 (0.001) Loss 2.1172 (1.7987) Prec@1 55.469 (59.038) Prec@5 77.344 (80.870) Epoch: [42][5990/10010] Time 0.338 (0.327) Data 0.001 (0.001) Loss 1.9306 (1.7987) Prec@1 53.906 (59.037) Prec@5 80.469 (80.869) Epoch: [42][6000/10010] Time 0.318 (0.327) Data 0.001 (0.001) Loss 2.0345 (1.7989) Prec@1 59.375 (59.034) Prec@5 76.562 (80.867) Epoch: [42][6010/10010] Time 0.317 (0.327) Data 0.001 (0.001) Loss 1.9968 (1.7989) Prec@1 51.562 (59.031) Prec@5 77.344 (80.866) Epoch: [42][6020/10010] Time 0.336 (0.327) Data 0.001 (0.001) Loss 1.8301 (1.7990) Prec@1 59.375 (59.030) Prec@5 81.250 (80.868) Epoch: [42][6030/10010] Time 0.319 (0.327) Data 0.000 (0.001) Loss 1.6439 (1.7990) Prec@1 61.719 (59.033) Prec@5 82.031 (80.868) Epoch: [42][6040/10010] Time 0.336 (0.327) Data 0.001 (0.001) Loss 1.7799 (1.7990) Prec@1 58.594 (59.034) Prec@5 80.469 (80.867) Epoch: [42][6050/10010] Time 0.326 (0.327) Data 0.001 (0.001) Loss 1.7208 (1.7990) Prec@1 60.156 (59.037) Prec@5 81.250 (80.867) Epoch: [42][6060/10010] Time 0.320 (0.327) Data 0.001 (0.001) Loss 1.7421 (1.7990) Prec@1 57.812 (59.037) Prec@5 83.594 (80.867) Epoch: [42][6070/10010] Time 0.331 (0.327) Data 0.001 (0.001) Loss 1.2856 (1.7990) Prec@1 66.406 (59.037) Prec@5 89.844 (80.868) Epoch: [42][6080/10010] Time 0.310 (0.327) Data 0.001 (0.001) Loss 1.6922 (1.7988) Prec@1 60.938 (59.042) Prec@5 82.812 (80.870) Epoch: [42][6090/10010] Time 0.318 (0.327) Data 0.000 (0.001) Loss 1.4516 (1.7988) Prec@1 62.500 (59.043) Prec@5 88.281 (80.873) Epoch: [42][6100/10010] Time 0.338 (0.327) Data 0.001 (0.001) Loss 1.5381 (1.7989) Prec@1 67.969 (59.041) Prec@5 85.156 (80.869) Epoch: [42][6110/10010] Time 0.323 (0.327) Data 0.000 (0.001) Loss 1.8191 (1.7989) Prec@1 59.375 (59.042) Prec@5 78.906 (80.872) Epoch: [42][6120/10010] Time 0.333 (0.327) Data 0.001 (0.001) Loss 2.2048 (1.7989) Prec@1 54.688 (59.039) Prec@5 73.438 (80.872) Epoch: [42][6130/10010] Time 0.325 (0.327) Data 0.001 (0.001) Loss 1.6926 (1.7989) Prec@1 60.156 (59.040) Prec@5 82.812 (80.869) Epoch: [42][6140/10010] Time 0.344 (0.327) Data 0.001 (0.001) Loss 1.9345 (1.7990) Prec@1 57.812 (59.040) Prec@5 78.906 (80.867) Epoch: [42][6150/10010] Time 0.327 (0.327) Data 0.001 (0.001) Loss 1.9540 (1.7989) Prec@1 57.812 (59.042) Prec@5 76.562 (80.869) Epoch: [42][6160/10010] Time 0.326 (0.327) Data 0.000 (0.001) Loss 2.0763 (1.7991) Prec@1 49.219 (59.038) Prec@5 80.469 (80.866) Epoch: [42][6170/10010] Time 0.337 (0.327) Data 0.001 (0.001) Loss 1.8209 (1.7991) Prec@1 55.469 (59.040) Prec@5 81.250 (80.866) Epoch: [42][6180/10010] Time 0.312 (0.327) Data 0.002 (0.001) Loss 1.8203 (1.7992) Prec@1 60.938 (59.043) Prec@5 78.906 (80.866) Epoch: [42][6190/10010] Time 0.327 (0.327) Data 0.001 (0.001) Loss 2.0301 (1.7992) Prec@1 57.031 (59.045) Prec@5 77.344 (80.866) Epoch: [42][6200/10010] Time 0.318 (0.327) Data 0.001 (0.001) Loss 2.0037 (1.7992) Prec@1 57.031 (59.044) Prec@5 79.688 (80.866) Epoch: [42][6210/10010] Time 0.323 (0.327) Data 0.000 (0.001) Loss 1.7582 (1.7992) Prec@1 56.250 (59.044) Prec@5 80.469 (80.865) Epoch: [42][6220/10010] Time 0.342 (0.327) Data 0.001 (0.001) Loss 1.9732 (1.7993) Prec@1 58.594 (59.044) Prec@5 78.125 (80.863) Epoch: [42][6230/10010] Time 0.333 (0.327) Data 0.001 (0.001) Loss 1.6503 (1.7992) Prec@1 61.719 (59.047) Prec@5 82.031 (80.866) Epoch: [42][6240/10010] Time 0.315 (0.327) Data 0.001 (0.001) Loss 1.5080 (1.7994) Prec@1 67.188 (59.044) Prec@5 86.719 (80.864) Epoch: [42][6250/10010] Time 0.325 (0.327) Data 0.001 (0.001) Loss 1.7956 (1.7993) Prec@1 53.906 (59.047) Prec@5 80.469 (80.866) Epoch: [42][6260/10010] Time 0.316 (0.327) Data 0.000 (0.001) Loss 2.0381 (1.7994) Prec@1 60.938 (59.049) Prec@5 81.250 (80.866) Epoch: [42][6270/10010] Time 0.340 (0.327) Data 0.001 (0.001) Loss 1.9293 (1.7995) Prec@1 62.500 (59.047) Prec@5 78.125 (80.863) Epoch: [42][6280/10010] Time 0.319 (0.327) Data 0.001 (0.001) Loss 1.4459 (1.7995) Prec@1 60.156 (59.047) Prec@5 86.719 (80.864) Epoch: [42][6290/10010] Time 0.331 (0.327) Data 0.001 (0.001) Loss 1.7163 (1.7995) Prec@1 61.719 (59.046) Prec@5 80.469 (80.864) Epoch: [42][6300/10010] Time 0.336 (0.327) Data 0.000 (0.001) Loss 1.8837 (1.7995) Prec@1 59.375 (59.047) Prec@5 76.562 (80.861) Epoch: [42][6310/10010] Time 0.327 (0.327) Data 0.001 (0.001) Loss 1.9686 (1.7996) Prec@1 57.031 (59.044) Prec@5 75.781 (80.860) Epoch: [42][6320/10010] Time 0.331 (0.327) Data 0.000 (0.001) Loss 2.0201 (1.7996) Prec@1 53.125 (59.044) Prec@5 75.000 (80.860) Epoch: [42][6330/10010] Time 0.317 (0.327) Data 0.001 (0.001) Loss 1.6500 (1.7996) Prec@1 60.156 (59.044) Prec@5 82.812 (80.861) Epoch: [42][6340/10010] Time 0.316 (0.327) Data 0.001 (0.001) Loss 1.7382 (1.7996) Prec@1 60.156 (59.044) Prec@5 80.469 (80.861) Epoch: [42][6350/10010] Time 0.324 (0.327) Data 0.000 (0.001) Loss 1.9604 (1.7997) Prec@1 56.250 (59.043) Prec@5 78.125 (80.859) Epoch: [42][6360/10010] Time 0.327 (0.327) Data 0.001 (0.001) Loss 1.9918 (1.7997) Prec@1 57.812 (59.043) Prec@5 77.344 (80.861) Epoch: [42][6370/10010] Time 0.322 (0.327) Data 0.001 (0.001) Loss 1.4481 (1.7996) Prec@1 66.406 (59.048) Prec@5 85.156 (80.861) Epoch: [42][6380/10010] Time 0.327 (0.327) Data 0.001 (0.001) Loss 1.7605 (1.7994) Prec@1 58.594 (59.054) Prec@5 80.469 (80.866) Epoch: [42][6390/10010] Time 0.322 (0.327) Data 0.001 (0.001) Loss 1.7542 (1.7996) Prec@1 57.812 (59.053) Prec@5 79.688 (80.863) Epoch: [42][6400/10010] Time 0.320 (0.327) Data 0.001 (0.001) Loss 1.7104 (1.7995) Prec@1 60.156 (59.053) Prec@5 82.812 (80.863) Epoch: [42][6410/10010] Time 0.333 (0.327) Data 0.000 (0.001) Loss 2.0242 (1.7995) Prec@1 57.031 (59.055) Prec@5 75.781 (80.862) Epoch: [42][6420/10010] Time 0.316 (0.327) Data 0.001 (0.001) Loss 2.0130 (1.7997) Prec@1 55.469 (59.053) Prec@5 75.781 (80.861) Epoch: [42][6430/10010] Time 0.333 (0.327) Data 0.001 (0.001) Loss 1.9384 (1.7996) Prec@1 57.812 (59.057) Prec@5 78.906 (80.862) Epoch: [42][6440/10010] Time 0.315 (0.327) Data 0.001 (0.001) Loss 1.5018 (1.7995) Prec@1 64.844 (59.056) Prec@5 85.156 (80.862) Epoch: [42][6450/10010] Time 0.339 (0.327) Data 0.001 (0.001) Loss 1.6655 (1.7995) Prec@1 64.844 (59.057) Prec@5 79.688 (80.861) Epoch: [42][6460/10010] Time 0.320 (0.327) Data 0.001 (0.001) Loss 2.1706 (1.7996) Prec@1 51.562 (59.056) Prec@5 74.219 (80.859) Epoch: [42][6470/10010] Time 0.317 (0.327) Data 0.001 (0.001) Loss 1.6788 (1.7996) Prec@1 63.281 (59.058) Prec@5 84.375 (80.859) Epoch: [42][6480/10010] Time 0.314 (0.327) Data 0.001 (0.001) Loss 1.8822 (1.7996) Prec@1 57.812 (59.061) Prec@5 77.344 (80.858) Epoch: [42][6490/10010] Time 0.321 (0.327) Data 0.001 (0.001) Loss 1.8813 (1.7997) Prec@1 55.469 (59.055) Prec@5 79.688 (80.857) Epoch: [42][6500/10010] Time 0.322 (0.327) Data 0.001 (0.001) Loss 1.9418 (1.7998) Prec@1 58.594 (59.053) Prec@5 77.344 (80.855) Epoch: [42][6510/10010] Time 0.330 (0.327) Data 0.001 (0.001) Loss 2.0770 (1.8000) Prec@1 54.688 (59.050) Prec@5 79.688 (80.853) Epoch: [42][6520/10010] Time 0.326 (0.327) Data 0.001 (0.001) Loss 2.1862 (1.8001) Prec@1 51.562 (59.048) Prec@5 70.312 (80.853) Epoch: [42][6530/10010] Time 0.315 (0.327) Data 0.001 (0.001) Loss 1.7771 (1.8001) Prec@1 64.844 (59.048) Prec@5 78.906 (80.853) Epoch: [42][6540/10010] Time 0.331 (0.327) Data 0.000 (0.001) Loss 1.5675 (1.8001) Prec@1 61.719 (59.048) Prec@5 87.500 (80.854) Epoch: [42][6550/10010] Time 0.319 (0.327) Data 0.001 (0.001) Loss 1.7220 (1.8003) Prec@1 57.812 (59.047) Prec@5 80.469 (80.851) Epoch: [42][6560/10010] Time 0.317 (0.327) Data 0.001 (0.001) Loss 2.0003 (1.8003) Prec@1 52.344 (59.047) Prec@5 78.906 (80.851) Epoch: [42][6570/10010] Time 0.328 (0.327) Data 0.000 (0.001) Loss 1.7736 (1.8002) Prec@1 59.375 (59.049) Prec@5 85.938 (80.853) Epoch: [42][6580/10010] Time 0.331 (0.327) Data 0.001 (0.001) Loss 1.7831 (1.8002) Prec@1 58.594 (59.048) Prec@5 84.375 (80.855) Epoch: [42][6590/10010] Time 0.325 (0.327) Data 0.001 (0.001) Loss 2.1313 (1.8004) Prec@1 54.688 (59.046) Prec@5 72.656 (80.853) Epoch: [42][6600/10010] Time 0.334 (0.327) Data 0.001 (0.001) Loss 1.9548 (1.8003) Prec@1 53.125 (59.046) Prec@5 75.000 (80.854) Epoch: [42][6610/10010] Time 0.322 (0.327) Data 0.001 (0.001) Loss 1.9187 (1.8004) Prec@1 57.812 (59.044) Prec@5 79.688 (80.854) Epoch: [42][6620/10010] Time 0.338 (0.327) Data 0.001 (0.001) Loss 2.0268 (1.8005) Prec@1 54.688 (59.043) Prec@5 75.000 (80.852) Epoch: [42][6630/10010] Time 0.318 (0.327) Data 0.001 (0.001) Loss 1.6324 (1.8004) Prec@1 60.938 (59.044) Prec@5 84.375 (80.853) Epoch: [42][6640/10010] Time 0.334 (0.327) Data 0.001 (0.001) Loss 1.9940 (1.8005) Prec@1 59.375 (59.043) Prec@5 77.344 (80.853) Epoch: [42][6650/10010] Time 0.318 (0.327) Data 0.001 (0.001) Loss 1.9794 (1.8005) Prec@1 62.500 (59.044) Prec@5 77.344 (80.853) Epoch: [42][6660/10010] Time 0.339 (0.327) Data 0.000 (0.001) Loss 1.9195 (1.8005) Prec@1 53.125 (59.041) Prec@5 82.031 (80.851) Epoch: [42][6670/10010] Time 0.324 (0.327) Data 0.001 (0.001) Loss 1.8528 (1.8005) Prec@1 58.594 (59.041) Prec@5 79.688 (80.852) Epoch: [42][6680/10010] Time 0.326 (0.327) Data 0.001 (0.001) Loss 2.0343 (1.8005) Prec@1 51.562 (59.042) Prec@5 74.219 (80.854) Epoch: [42][6690/10010] Time 0.337 (0.327) Data 0.000 (0.001) Loss 1.8829 (1.8005) Prec@1 58.594 (59.043) Prec@5 78.125 (80.854) Epoch: [42][6700/10010] Time 0.318 (0.327) Data 0.001 (0.001) Loss 1.5042 (1.8003) Prec@1 65.625 (59.046) Prec@5 84.375 (80.856) Epoch: [42][6710/10010] Time 0.316 (0.327) Data 0.001 (0.001) Loss 1.8294 (1.8004) Prec@1 58.594 (59.045) Prec@5 76.562 (80.853) Epoch: [42][6720/10010] Time 0.332 (0.327) Data 0.001 (0.001) Loss 1.7634 (1.8005) Prec@1 58.594 (59.047) Prec@5 79.688 (80.853) Epoch: [42][6730/10010] Time 0.339 (0.327) Data 0.001 (0.001) Loss 1.7924 (1.8006) Prec@1 66.406 (59.043) Prec@5 81.250 (80.854) Epoch: [42][6740/10010] Time 0.316 (0.327) Data 0.001 (0.001) Loss 1.8479 (1.8006) Prec@1 58.594 (59.042) Prec@5 79.688 (80.852) Epoch: [42][6750/10010] Time 0.318 (0.327) Data 0.001 (0.001) Loss 1.7285 (1.8007) Prec@1 54.688 (59.043) Prec@5 82.812 (80.852) Epoch: [42][6760/10010] Time 0.328 (0.327) Data 0.001 (0.001) Loss 1.9186 (1.8007) Prec@1 58.594 (59.042) Prec@5 80.469 (80.852) Epoch: [42][6770/10010] Time 0.310 (0.327) Data 0.001 (0.001) Loss 1.5076 (1.8006) Prec@1 63.281 (59.046) Prec@5 87.500 (80.853) Epoch: [42][6780/10010] Time 0.319 (0.327) Data 0.001 (0.001) Loss 1.8086 (1.8006) Prec@1 57.031 (59.046) Prec@5 80.469 (80.852) Epoch: [42][6790/10010] Time 0.319 (0.327) Data 0.001 (0.001) Loss 1.6775 (1.8005) Prec@1 55.469 (59.049) Prec@5 83.594 (80.854) Epoch: [42][6800/10010] Time 0.331 (0.327) Data 0.001 (0.001) Loss 1.8495 (1.8005) Prec@1 54.688 (59.048) Prec@5 84.375 (80.857) Epoch: [42][6810/10010] Time 0.315 (0.327) Data 0.001 (0.001) Loss 1.8207 (1.8003) Prec@1 53.125 (59.047) Prec@5 78.906 (80.860) Epoch: [42][6820/10010] Time 0.325 (0.327) Data 0.001 (0.001) Loss 1.6915 (1.8004) Prec@1 63.281 (59.047) Prec@5 84.375 (80.858) Epoch: [42][6830/10010] Time 0.326 (0.327) Data 0.001 (0.001) Loss 1.9236 (1.8005) Prec@1 61.719 (59.047) Prec@5 78.125 (80.858) Epoch: [42][6840/10010] Time 0.314 (0.327) Data 0.000 (0.001) Loss 2.1238 (1.8006) Prec@1 56.250 (59.045) Prec@5 75.000 (80.855) Epoch: [42][6850/10010] Time 0.318 (0.327) Data 0.001 (0.001) Loss 1.9919 (1.8008) Prec@1 60.938 (59.043) Prec@5 77.344 (80.852) Epoch: [42][6860/10010] Time 0.321 (0.327) Data 0.001 (0.001) Loss 1.8209 (1.8008) Prec@1 58.594 (59.045) Prec@5 81.250 (80.853) Epoch: [42][6870/10010] Time 0.322 (0.327) Data 0.001 (0.001) Loss 1.6617 (1.8010) Prec@1 63.281 (59.042) Prec@5 82.031 (80.852) Epoch: [42][6880/10010] Time 0.320 (0.327) Data 0.001 (0.001) Loss 1.6971 (1.8009) Prec@1 60.156 (59.043) Prec@5 81.250 (80.853) Epoch: [42][6890/10010] Time 0.317 (0.327) Data 0.000 (0.001) Loss 1.8735 (1.8010) Prec@1 57.812 (59.038) Prec@5 81.250 (80.851) Epoch: [42][6900/10010] Time 0.319 (0.327) Data 0.000 (0.001) Loss 1.4519 (1.8012) Prec@1 68.750 (59.036) Prec@5 82.031 (80.849) Epoch: [42][6910/10010] Time 0.329 (0.327) Data 0.002 (0.001) Loss 1.7926 (1.8013) Prec@1 60.938 (59.035) Prec@5 81.250 (80.848) Epoch: [42][6920/10010] Time 0.316 (0.327) Data 0.001 (0.001) Loss 2.0738 (1.8014) Prec@1 53.906 (59.033) Prec@5 77.344 (80.846) Epoch: [42][6930/10010] Time 0.314 (0.327) Data 0.001 (0.001) Loss 1.5046 (1.8013) Prec@1 66.406 (59.035) Prec@5 82.812 (80.848) Epoch: [42][6940/10010] Time 0.336 (0.327) Data 0.001 (0.001) Loss 1.7811 (1.8013) Prec@1 58.594 (59.033) Prec@5 79.688 (80.847) Epoch: [42][6950/10010] Time 0.317 (0.327) Data 0.001 (0.001) Loss 1.5851 (1.8012) Prec@1 61.719 (59.035) Prec@5 82.031 (80.848) Epoch: [42][6960/10010] Time 0.325 (0.327) Data 0.001 (0.001) Loss 1.9466 (1.8012) Prec@1 52.344 (59.035) Prec@5 75.781 (80.847) /data/vision/torralba/deepscene/lib/anaconda2/lib/python2.7/site-packages/PIL/TiffImagePlugin.py:709: UserWarning: Corrupt EXIF data. Expecting to read 4 bytes but only got 0. warnings.warn(str(msg)) Epoch: [42][6970/10010] Time 0.321 (0.327) Data 0.001 (0.001) Loss 2.0436 (1.8012) Prec@1 56.250 (59.036) Prec@5 73.438 (80.848) Epoch: [42][6980/10010] Time 0.329 (0.327) Data 0.001 (0.001) Loss 1.6047 (1.8013) Prec@1 58.594 (59.033) Prec@5 86.719 (80.846) Epoch: [42][6990/10010] Time 0.338 (0.327) Data 0.001 (0.001) Loss 1.5321 (1.8012) Prec@1 63.281 (59.036) Prec@5 83.594 (80.847) Epoch: [42][7000/10010] Time 0.320 (0.327) Data 0.001 (0.001) Loss 2.1186 (1.8013) Prec@1 51.562 (59.037) Prec@5 78.906 (80.848) Epoch: [42][7010/10010] Time 0.336 (0.327) Data 0.000 (0.001) Loss 2.1724 (1.8014) Prec@1 51.562 (59.035) Prec@5 77.344 (80.847) Epoch: [42][7020/10010] Time 0.331 (0.327) Data 0.001 (0.001) Loss 1.4938 (1.8014) Prec@1 63.281 (59.034) Prec@5 86.719 (80.845) Epoch: [42][7030/10010] Time 0.336 (0.327) Data 0.001 (0.001) Loss 1.7480 (1.8015) Prec@1 59.375 (59.032) Prec@5 84.375 (80.845) Epoch: [42][7040/10010] Time 0.338 (0.327) Data 0.001 (0.001) Loss 1.7501 (1.8014) Prec@1 60.156 (59.034) Prec@5 83.594 (80.847) Epoch: [42][7050/10010] Time 0.322 (0.327) Data 0.001 (0.001) Loss 1.9043 (1.8013) Prec@1 57.031 (59.036) Prec@5 78.125 (80.849) Epoch: [42][7060/10010] Time 0.336 (0.327) Data 0.001 (0.001) Loss 1.6788 (1.8013) Prec@1 60.938 (59.035) Prec@5 84.375 (80.850) Epoch: [42][7070/10010] Time 0.325 (0.327) Data 0.001 (0.001) Loss 1.7405 (1.8013) Prec@1 59.375 (59.036) Prec@5 80.469 (80.849) Epoch: [42][7080/10010] Time 0.319 (0.327) Data 0.000 (0.001) Loss 1.8579 (1.8013) Prec@1 64.062 (59.034) Prec@5 80.469 (80.849) Epoch: [42][7090/10010] Time 0.340 (0.327) Data 0.001 (0.001) Loss 1.6855 (1.8013) Prec@1 57.031 (59.034) Prec@5 82.031 (80.848) Epoch: [42][7100/10010] Time 0.315 (0.327) Data 0.001 (0.001) Loss 2.0472 (1.8013) Prec@1 57.812 (59.035) Prec@5 76.562 (80.847) Epoch: [42][7110/10010] Time 0.335 (0.327) Data 0.000 (0.001) Loss 1.4992 (1.8013) Prec@1 62.500 (59.036) Prec@5 81.250 (80.848) Epoch: [42][7120/10010] Time 0.326 (0.327) Data 0.001 (0.001) Loss 2.1194 (1.8014) Prec@1 53.125 (59.033) Prec@5 70.312 (80.845) Epoch: [42][7130/10010] Time 0.341 (0.327) Data 0.000 (0.001) Loss 2.1835 (1.8014) Prec@1 55.469 (59.032) Prec@5 75.000 (80.844) Epoch: [42][7140/10010] Time 0.336 (0.327) Data 0.001 (0.001) Loss 1.8836 (1.8015) Prec@1 53.906 (59.031) Prec@5 78.125 (80.843) Epoch: [42][7150/10010] Time 0.325 (0.327) Data 0.001 (0.001) Loss 1.8127 (1.8016) Prec@1 64.844 (59.030) Prec@5 79.688 (80.843) Epoch: [42][7160/10010] Time 0.337 (0.327) Data 0.001 (0.001) Loss 2.1991 (1.8015) Prec@1 51.562 (59.031) Prec@5 71.875 (80.843) Epoch: [42][7170/10010] Time 0.334 (0.327) Data 0.001 (0.001) Loss 1.3726 (1.8014) Prec@1 58.594 (59.029) Prec@5 89.844 (80.845) Epoch: [42][7180/10010] Time 0.316 (0.327) Data 0.001 (0.001) Loss 1.5320 (1.8014) Prec@1 64.844 (59.031) Prec@5 85.938 (80.846) Epoch: [42][7190/10010] Time 0.320 (0.327) Data 0.001 (0.001) Loss 1.7893 (1.8014) Prec@1 60.938 (59.033) Prec@5 78.906 (80.845) Epoch: [42][7200/10010] Time 0.312 (0.327) Data 0.001 (0.001) Loss 1.8443 (1.8015) Prec@1 57.812 (59.030) Prec@5 78.125 (80.842) Epoch: [42][7210/10010] Time 0.341 (0.327) Data 0.001 (0.001) Loss 1.7641 (1.8017) Prec@1 59.375 (59.028) Prec@5 85.938 (80.839) Epoch: [42][7220/10010] Time 0.320 (0.327) Data 0.001 (0.001) Loss 1.3873 (1.8016) Prec@1 68.750 (59.032) Prec@5 84.375 (80.840) Epoch: [42][7230/10010] Time 0.314 (0.327) Data 0.001 (0.001) Loss 1.5131 (1.8017) Prec@1 63.281 (59.033) Prec@5 82.031 (80.840) Epoch: [42][7240/10010] Time 0.323 (0.327) Data 0.000 (0.001) Loss 1.6828 (1.8017) Prec@1 57.812 (59.033) Prec@5 85.938 (80.841) Epoch: [42][7250/10010] Time 0.313 (0.327) Data 0.001 (0.001) Loss 1.8626 (1.8018) Prec@1 57.812 (59.031) Prec@5 78.125 (80.837) Epoch: [42][7260/10010] Time 0.328 (0.327) Data 0.001 (0.001) Loss 1.6848 (1.8018) Prec@1 62.500 (59.031) Prec@5 83.594 (80.837) Epoch: [42][7270/10010] Time 0.329 (0.327) Data 0.000 (0.001) Loss 1.6573 (1.8018) Prec@1 58.594 (59.032) Prec@5 85.156 (80.837) Epoch: [42][7280/10010] Time 0.319 (0.327) Data 0.001 (0.001) Loss 1.7176 (1.8019) Prec@1 61.719 (59.032) Prec@5 81.250 (80.835) Epoch: [42][7290/10010] Time 0.323 (0.327) Data 0.001 (0.001) Loss 1.7993 (1.8020) Prec@1 57.031 (59.032) Prec@5 79.688 (80.833) Epoch: [42][7300/10010] Time 0.320 (0.327) Data 0.001 (0.001) Loss 1.4472 (1.8020) Prec@1 66.406 (59.031) Prec@5 85.938 (80.833) Epoch: [42][7310/10010] Time 0.333 (0.327) Data 0.001 (0.001) Loss 1.8264 (1.8020) Prec@1 55.469 (59.028) Prec@5 79.688 (80.833) Epoch: [42][7320/10010] Time 0.317 (0.327) Data 0.001 (0.001) Loss 1.8904 (1.8020) Prec@1 57.812 (59.027) Prec@5 79.688 (80.833) Epoch: [42][7330/10010] Time 0.319 (0.327) Data 0.001 (0.001) Loss 1.9367 (1.8020) Prec@1 55.469 (59.028) Prec@5 78.125 (80.834) Epoch: [42][7340/10010] Time 0.331 (0.327) Data 0.001 (0.001) Loss 1.8594 (1.8020) Prec@1 61.719 (59.027) Prec@5 82.031 (80.833) Epoch: [42][7350/10010] Time 0.323 (0.327) Data 0.000 (0.001) Loss 1.5592 (1.8020) Prec@1 65.625 (59.029) Prec@5 83.594 (80.833) Epoch: [42][7360/10010] Time 0.323 (0.327) Data 0.000 (0.001) Loss 1.8265 (1.8019) Prec@1 59.375 (59.032) Prec@5 82.812 (80.835) Epoch: [42][7370/10010] Time 0.337 (0.327) Data 0.001 (0.001) Loss 1.7346 (1.8019) Prec@1 56.250 (59.032) Prec@5 79.688 (80.835) Epoch: [42][7380/10010] Time 0.321 (0.327) Data 0.001 (0.001) Loss 1.7478 (1.8020) Prec@1 60.938 (59.033) Prec@5 82.031 (80.834) Epoch: [42][7390/10010] Time 0.316 (0.327) Data 0.001 (0.001) Loss 1.8922 (1.8020) Prec@1 56.250 (59.033) Prec@5 81.250 (80.834) Epoch: [42][7400/10010] Time 0.335 (0.327) Data 0.000 (0.001) Loss 2.1183 (1.8021) Prec@1 53.125 (59.032) Prec@5 76.562 (80.834) Epoch: [42][7410/10010] Time 0.319 (0.327) Data 0.001 (0.001) Loss 1.7828 (1.8020) Prec@1 60.156 (59.031) Prec@5 80.469 (80.834) Epoch: [42][7420/10010] Time 0.316 (0.327) Data 0.001 (0.001) Loss 1.7340 (1.8020) Prec@1 55.469 (59.030) Prec@5 84.375 (80.833) Epoch: [42][7430/10010] Time 0.325 (0.327) Data 0.001 (0.001) Loss 1.6610 (1.8019) Prec@1 64.062 (59.030) Prec@5 84.375 (80.834) Epoch: [42][7440/10010] Time 0.321 (0.327) Data 0.000 (0.001) Loss 1.7839 (1.8020) Prec@1 62.500 (59.029) Prec@5 79.688 (80.833) Epoch: [42][7450/10010] Time 0.333 (0.327) Data 0.001 (0.001) Loss 1.7031 (1.8021) Prec@1 62.500 (59.028) Prec@5 82.812 (80.832) Epoch: [42][7460/10010] Time 0.328 (0.327) Data 0.001 (0.001) Loss 1.6566 (1.8021) Prec@1 63.281 (59.030) Prec@5 82.031 (80.833) Epoch: [42][7470/10010] Time 0.344 (0.327) Data 0.001 (0.001) Loss 1.5784 (1.8021) Prec@1 64.062 (59.030) Prec@5 87.500 (80.832) Epoch: [42][7480/10010] Time 0.316 (0.327) Data 0.001 (0.001) Loss 1.8456 (1.8021) Prec@1 59.375 (59.029) Prec@5 82.812 (80.833) Epoch: [42][7490/10010] Time 0.322 (0.327) Data 0.001 (0.001) Loss 1.8820 (1.8021) Prec@1 53.906 (59.027) Prec@5 83.594 (80.835) Epoch: [42][7500/10010] Time 0.324 (0.327) Data 0.001 (0.001) Loss 2.2558 (1.8022) Prec@1 50.000 (59.026) Prec@5 72.656 (80.833) Epoch: [42][7510/10010] Time 0.320 (0.327) Data 0.001 (0.001) Loss 1.7589 (1.8023) Prec@1 54.688 (59.023) Prec@5 82.031 (80.831) Epoch: [42][7520/10010] Time 0.325 (0.327) Data 0.001 (0.001) Loss 1.8554 (1.8024) Prec@1 54.688 (59.019) Prec@5 82.812 (80.832) Epoch: [42][7530/10010] Time 0.322 (0.327) Data 0.001 (0.001) Loss 1.9198 (1.8024) Prec@1 56.250 (59.019) Prec@5 77.344 (80.832) Epoch: [42][7540/10010] Time 0.316 (0.327) Data 0.000 (0.001) Loss 1.9233 (1.8024) Prec@1 58.594 (59.018) Prec@5 78.125 (80.831) Epoch: [42][7550/10010] Time 0.330 (0.327) Data 0.001 (0.001) Loss 1.5237 (1.8024) Prec@1 63.281 (59.018) Prec@5 86.719 (80.831) Epoch: [42][7560/10010] Time 0.318 (0.327) Data 0.001 (0.001) Loss 1.8008 (1.8025) Prec@1 57.812 (59.017) Prec@5 80.469 (80.830) Epoch: [42][7570/10010] Time 0.318 (0.327) Data 0.001 (0.001) Loss 1.6852 (1.8025) Prec@1 58.594 (59.017) Prec@5 82.031 (80.831) Epoch: [42][7580/10010] Time 0.332 (0.327) Data 0.000 (0.001) Loss 2.0098 (1.8025) Prec@1 54.688 (59.014) Prec@5 76.562 (80.831) Epoch: [42][7590/10010] Time 0.325 (0.327) Data 0.001 (0.001) Loss 2.0407 (1.8027) Prec@1 60.938 (59.015) Prec@5 79.688 (80.831) Epoch: [42][7600/10010] Time 0.343 (0.327) Data 0.000 (0.001) Loss 1.9973 (1.8027) Prec@1 58.594 (59.017) Prec@5 77.344 (80.831) Epoch: [42][7610/10010] Time 0.308 (0.327) Data 0.001 (0.001) Loss 1.7757 (1.8026) Prec@1 62.500 (59.020) Prec@5 78.906 (80.832) Epoch: [42][7620/10010] Time 0.338 (0.327) Data 0.001 (0.001) Loss 1.8829 (1.8025) Prec@1 59.375 (59.021) Prec@5 81.250 (80.835) Epoch: [42][7630/10010] Time 0.339 (0.327) Data 0.000 (0.001) Loss 2.0245 (1.8024) Prec@1 57.031 (59.022) Prec@5 78.906 (80.836) Epoch: [42][7640/10010] Time 0.338 (0.327) Data 0.001 (0.001) Loss 1.9826 (1.8026) Prec@1 59.375 (59.019) Prec@5 75.781 (80.833) Epoch: [42][7650/10010] Time 0.319 (0.327) Data 0.001 (0.001) Loss 1.7795 (1.8026) Prec@1 60.156 (59.019) Prec@5 81.250 (80.831) Epoch: [42][7660/10010] Time 0.322 (0.327) Data 0.001 (0.001) Loss 2.0615 (1.8026) Prec@1 51.562 (59.018) Prec@5 77.344 (80.830) Epoch: [42][7670/10010] Time 0.324 (0.327) Data 0.001 (0.001) Loss 1.9349 (1.8027) Prec@1 57.031 (59.018) Prec@5 76.562 (80.829) Epoch: [42][7680/10010] Time 0.340 (0.327) Data 0.003 (0.001) Loss 1.3686 (1.8027) Prec@1 66.406 (59.019) Prec@5 89.062 (80.830) Epoch: [42][7690/10010] Time 0.321 (0.327) Data 0.001 (0.001) Loss 1.7622 (1.8027) Prec@1 58.594 (59.017) Prec@5 82.031 (80.829) Epoch: [42][7700/10010] Time 0.309 (0.327) Data 0.001 (0.001) Loss 1.9510 (1.8027) Prec@1 57.031 (59.016) Prec@5 78.125 (80.829) Epoch: [42][7710/10010] Time 0.342 (0.327) Data 0.001 (0.001) Loss 1.9095 (1.8027) Prec@1 57.031 (59.018) Prec@5 79.688 (80.829) Epoch: [42][7720/10010] Time 0.336 (0.327) Data 0.001 (0.001) Loss 1.8853 (1.8027) Prec@1 53.906 (59.018) Prec@5 79.688 (80.829) Epoch: [42][7730/10010] Time 0.317 (0.327) Data 0.000 (0.001) Loss 1.6308 (1.8027) Prec@1 60.938 (59.016) Prec@5 85.938 (80.830) Epoch: [42][7740/10010] Time 0.315 (0.327) Data 0.000 (0.001) Loss 1.9970 (1.8028) Prec@1 57.031 (59.014) Prec@5 78.906 (80.829) Epoch: [42][7750/10010] Time 0.342 (0.327) Data 0.000 (0.001) Loss 1.8244 (1.8029) Prec@1 60.156 (59.013) Prec@5 80.469 (80.830) Epoch: [42][7760/10010] Time 0.320 (0.327) Data 0.001 (0.001) Loss 1.9091 (1.8028) Prec@1 57.812 (59.013) Prec@5 77.344 (80.829) Epoch: [42][7770/10010] Time 0.314 (0.327) Data 0.001 (0.001) Loss 1.5103 (1.8029) Prec@1 63.281 (59.011) Prec@5 86.719 (80.828) Epoch: [42][7780/10010] Time 0.327 (0.327) Data 0.001 (0.001) Loss 1.7283 (1.8028) Prec@1 58.594 (59.014) Prec@5 82.812 (80.828) Epoch: [42][7790/10010] Time 0.312 (0.327) Data 0.001 (0.001) Loss 1.6268 (1.8027) Prec@1 64.844 (59.015) Prec@5 83.594 (80.829) Epoch: [42][7800/10010] Time 0.318 (0.327) Data 0.001 (0.001) Loss 1.6205 (1.8026) Prec@1 64.062 (59.017) Prec@5 86.719 (80.831) Epoch: [42][7810/10010] Time 0.333 (0.327) Data 0.000 (0.001) Loss 1.5590 (1.8025) Prec@1 63.281 (59.019) Prec@5 81.250 (80.832) Epoch: [42][7820/10010] Time 0.329 (0.327) Data 0.001 (0.001) Loss 1.8139 (1.8026) Prec@1 60.156 (59.020) Prec@5 81.250 (80.831) Epoch: [42][7830/10010] Time 0.317 (0.327) Data 0.001 (0.001) Loss 2.0271 (1.8026) Prec@1 53.125 (59.021) Prec@5 81.250 (80.831) Epoch: [42][7840/10010] Time 0.337 (0.327) Data 0.001 (0.001) Loss 1.9578 (1.8026) Prec@1 53.906 (59.020) Prec@5 78.906 (80.829) Epoch: [42][7850/10010] Time 0.315 (0.327) Data 0.000 (0.001) Loss 1.9249 (1.8028) Prec@1 56.250 (59.017) Prec@5 82.031 (80.827) Epoch: [42][7860/10010] Time 0.314 (0.327) Data 0.001 (0.001) Loss 1.9307 (1.8029) Prec@1 57.812 (59.015) Prec@5 76.562 (80.826) Epoch: [42][7870/10010] Time 0.323 (0.327) Data 0.001 (0.001) Loss 1.8557 (1.8029) Prec@1 63.281 (59.016) Prec@5 82.031 (80.827) Epoch: [42][7880/10010] Time 0.313 (0.327) Data 0.001 (0.001) Loss 1.6807 (1.8027) Prec@1 62.500 (59.018) Prec@5 78.125 (80.828) Epoch: [42][7890/10010] Time 0.333 (0.327) Data 0.001 (0.001) Loss 1.9200 (1.8027) Prec@1 58.594 (59.018) Prec@5 79.688 (80.829) Epoch: [42][7900/10010] Time 0.318 (0.327) Data 0.001 (0.001) Loss 1.7478 (1.8027) Prec@1 62.500 (59.018) Prec@5 82.812 (80.829) Epoch: [42][7910/10010] Time 0.326 (0.327) Data 0.001 (0.001) Loss 2.0648 (1.8028) Prec@1 53.906 (59.018) Prec@5 77.344 (80.828) Epoch: [42][7920/10010] Time 0.324 (0.327) Data 0.001 (0.001) Loss 1.6285 (1.8028) Prec@1 60.938 (59.016) Prec@5 82.812 (80.828) Epoch: [42][7930/10010] Time 0.315 (0.327) Data 0.001 (0.001) Loss 1.6695 (1.8027) Prec@1 61.719 (59.017) Prec@5 85.156 (80.831) Epoch: [42][7940/10010] Time 0.322 (0.327) Data 0.000 (0.001) Loss 1.8414 (1.8028) Prec@1 54.688 (59.016) Prec@5 82.031 (80.832) Epoch: [42][7950/10010] Time 0.320 (0.327) Data 0.001 (0.001) Loss 1.7524 (1.8028) Prec@1 57.812 (59.015) Prec@5 83.594 (80.832) Epoch: [42][7960/10010] Time 0.341 (0.327) Data 0.000 (0.001) Loss 2.0890 (1.8029) Prec@1 50.781 (59.015) Prec@5 76.562 (80.829) Epoch: [42][7970/10010] Time 0.322 (0.327) Data 0.001 (0.001) Loss 2.0913 (1.8030) Prec@1 57.031 (59.014) Prec@5 76.562 (80.828) Epoch: [42][7980/10010] Time 0.330 (0.327) Data 0.000 (0.001) Loss 1.9123 (1.8030) Prec@1 57.812 (59.014) Prec@5 80.469 (80.827) Epoch: [42][7990/10010] Time 0.328 (0.327) Data 0.001 (0.001) Loss 1.8756 (1.8031) Prec@1 57.812 (59.013) Prec@5 81.250 (80.823) Epoch: [42][8000/10010] Time 0.313 (0.327) Data 0.001 (0.001) Loss 1.8501 (1.8032) Prec@1 56.250 (59.012) Prec@5 79.688 (80.822) Epoch: [42][8010/10010] Time 0.335 (0.327) Data 0.001 (0.001) Loss 1.7841 (1.8033) Prec@1 58.594 (59.011) Prec@5 78.125 (80.820) Epoch: [42][8020/10010] Time 0.340 (0.327) Data 0.001 (0.001) Loss 2.0433 (1.8034) Prec@1 52.344 (59.007) Prec@5 78.906 (80.819) Epoch: [42][8030/10010] Time 0.329 (0.327) Data 0.001 (0.001) Loss 1.8026 (1.8034) Prec@1 60.156 (59.006) Prec@5 82.812 (80.818) Epoch: [42][8040/10010] Time 0.318 (0.327) Data 0.001 (0.001) Loss 2.1117 (1.8034) Prec@1 51.562 (59.006) Prec@5 75.781 (80.818) Epoch: [42][8050/10010] Time 0.323 (0.327) Data 0.001 (0.001) Loss 2.2704 (1.8033) Prec@1 51.562 (59.007) Prec@5 75.000 (80.820) Epoch: [42][8060/10010] Time 0.313 (0.327) Data 0.001 (0.001) Loss 1.5999 (1.8033) Prec@1 64.844 (59.007) Prec@5 85.938 (80.819) Epoch: [42][8070/10010] Time 0.319 (0.327) Data 0.001 (0.001) Loss 1.8226 (1.8033) Prec@1 59.375 (59.005) Prec@5 79.688 (80.819) Epoch: [42][8080/10010] Time 0.320 (0.327) Data 0.000 (0.001) Loss 1.7567 (1.8035) Prec@1 60.156 (59.003) Prec@5 81.250 (80.818) Epoch: [42][8090/10010] Time 0.326 (0.327) Data 0.000 (0.001) Loss 1.7474 (1.8034) Prec@1 66.406 (59.003) Prec@5 80.469 (80.820) Epoch: [42][8100/10010] Time 0.324 (0.327) Data 0.001 (0.001) Loss 1.6400 (1.8034) Prec@1 59.375 (59.001) Prec@5 85.156 (80.818) Epoch: [42][8110/10010] Time 0.334 (0.327) Data 0.001 (0.001) Loss 1.6869 (1.8035) Prec@1 60.156 (58.999) Prec@5 81.250 (80.818) Epoch: [42][8120/10010] Time 0.322 (0.327) Data 0.000 (0.001) Loss 1.4030 (1.8034) Prec@1 71.094 (59.002) Prec@5 86.719 (80.819) Epoch: [42][8130/10010] Time 0.329 (0.327) Data 0.001 (0.001) Loss 2.0074 (1.8034) Prec@1 57.031 (59.000) Prec@5 77.344 (80.818) Epoch: [42][8140/10010] Time 0.322 (0.327) Data 0.001 (0.001) Loss 1.9839 (1.8035) Prec@1 57.812 (58.999) Prec@5 78.125 (80.816) Epoch: [42][8150/10010] Time 0.320 (0.327) Data 0.001 (0.001) Loss 1.9268 (1.8036) Prec@1 54.688 (58.996) Prec@5 77.344 (80.815) Epoch: [42][8160/10010] Time 0.326 (0.327) Data 0.001 (0.001) Loss 1.6150 (1.8036) Prec@1 65.625 (58.996) Prec@5 82.031 (80.816) Epoch: [42][8170/10010] Time 0.316 (0.327) Data 0.001 (0.001) Loss 1.4970 (1.8036) Prec@1 62.500 (58.997) Prec@5 84.375 (80.818) Epoch: [42][8180/10010] Time 0.334 (0.327) Data 0.001 (0.001) Loss 1.7297 (1.8036) Prec@1 57.812 (58.996) Prec@5 84.375 (80.816) Epoch: [42][8190/10010] Time 0.329 (0.327) Data 0.001 (0.001) Loss 2.1300 (1.8037) Prec@1 58.594 (58.996) Prec@5 71.094 (80.815) Epoch: [42][8200/10010] Time 0.333 (0.327) Data 0.000 (0.001) Loss 1.6803 (1.8038) Prec@1 57.812 (58.994) Prec@5 85.938 (80.815) Epoch: [42][8210/10010] Time 0.322 (0.327) Data 0.001 (0.001) Loss 1.7225 (1.8039) Prec@1 59.375 (58.992) Prec@5 85.156 (80.813) Epoch: [42][8220/10010] Time 0.323 (0.327) Data 0.000 (0.001) Loss 1.6476 (1.8039) Prec@1 64.844 (58.992) Prec@5 80.469 (80.814) Epoch: [42][8230/10010] Time 0.330 (0.327) Data 0.000 (0.001) Loss 1.5830 (1.8039) Prec@1 66.406 (58.992) Prec@5 82.812 (80.813) Epoch: [42][8240/10010] Time 0.340 (0.327) Data 0.001 (0.001) Loss 1.6362 (1.8039) Prec@1 64.062 (58.990) Prec@5 82.812 (80.813) Epoch: [42][8250/10010] Time 0.318 (0.327) Data 0.001 (0.001) Loss 1.9112 (1.8039) Prec@1 55.469 (58.991) Prec@5 78.125 (80.813) Epoch: [42][8260/10010] Time 0.317 (0.327) Data 0.001 (0.001) Loss 1.4544 (1.8039) Prec@1 67.969 (58.994) Prec@5 84.375 (80.814) Epoch: [42][8270/10010] Time 0.314 (0.327) Data 0.001 (0.001) Loss 1.7137 (1.8039) Prec@1 59.375 (58.994) Prec@5 82.031 (80.814) Epoch: [42][8280/10010] Time 0.321 (0.327) Data 0.000 (0.001) Loss 2.0380 (1.8039) Prec@1 54.688 (58.994) Prec@5 74.219 (80.812) Epoch: [42][8290/10010] Time 0.316 (0.327) Data 0.001 (0.001) Loss 1.5796 (1.8038) Prec@1 62.500 (58.995) Prec@5 85.938 (80.813) Epoch: [42][8300/10010] Time 0.321 (0.327) Data 0.001 (0.001) Loss 1.9726 (1.8039) Prec@1 54.688 (58.992) Prec@5 78.906 (80.812) Epoch: [42][8310/10010] Time 0.327 (0.327) Data 0.000 (0.001) Loss 1.8174 (1.8039) Prec@1 59.375 (58.992) Prec@5 79.688 (80.811) Epoch: [42][8320/10010] Time 0.320 (0.327) Data 0.000 (0.001) Loss 1.9893 (1.8040) Prec@1 58.594 (58.992) Prec@5 74.219 (80.811) Epoch: [42][8330/10010] Time 0.321 (0.327) Data 0.000 (0.001) Loss 1.9686 (1.8040) Prec@1 57.812 (58.989) Prec@5 82.031 (80.812) Epoch: [42][8340/10010] Time 0.317 (0.327) Data 0.001 (0.001) Loss 1.7080 (1.8039) Prec@1 59.375 (58.990) Prec@5 84.375 (80.813) Epoch: [42][8350/10010] Time 0.320 (0.327) Data 0.001 (0.001) Loss 1.8254 (1.8039) Prec@1 58.594 (58.989) Prec@5 79.688 (80.813) Epoch: [42][8360/10010] Time 0.309 (0.327) Data 0.001 (0.001) Loss 1.8387 (1.8039) Prec@1 57.031 (58.989) Prec@5 79.688 (80.812) Epoch: [42][8370/10010] Time 0.314 (0.327) Data 0.000 (0.001) Loss 1.7740 (1.8039) Prec@1 60.156 (58.990) Prec@5 81.250 (80.812) Epoch: [42][8380/10010] Time 0.318 (0.327) Data 0.001 (0.001) Loss 1.6148 (1.8039) Prec@1 62.500 (58.990) Prec@5 83.594 (80.811) Epoch: [42][8390/10010] Time 0.338 (0.327) Data 0.001 (0.001) Loss 2.0161 (1.8039) Prec@1 56.250 (58.991) Prec@5 76.562 (80.812) Epoch: [42][8400/10010] Time 0.328 (0.327) Data 0.001 (0.001) Loss 1.9991 (1.8040) Prec@1 58.594 (58.990) Prec@5 81.250 (80.811) Epoch: [42][8410/10010] Time 0.314 (0.327) Data 0.001 (0.001) Loss 1.6688 (1.8040) Prec@1 64.844 (58.989) Prec@5 83.594 (80.810) Epoch: [42][8420/10010] Time 0.337 (0.327) Data 0.001 (0.001) Loss 1.9607 (1.8040) Prec@1 55.469 (58.988) Prec@5 75.000 (80.808) Epoch: [42][8430/10010] Time 0.344 (0.327) Data 0.001 (0.001) Loss 1.6638 (1.8039) Prec@1 63.281 (58.990) Prec@5 85.938 (80.809) Epoch: [42][8440/10010] Time 0.339 (0.327) Data 0.001 (0.001) Loss 1.5407 (1.8040) Prec@1 61.719 (58.990) Prec@5 85.156 (80.806) Epoch: [42][8450/10010] Time 0.315 (0.327) Data 0.001 (0.001) Loss 1.8778 (1.8042) Prec@1 53.125 (58.988) Prec@5 75.000 (80.803) Epoch: [42][8460/10010] Time 0.320 (0.327) Data 0.000 (0.001) Loss 1.7383 (1.8042) Prec@1 61.719 (58.988) Prec@5 80.469 (80.803) Epoch: [42][8470/10010] Time 0.322 (0.327) Data 0.001 (0.001) Loss 2.0217 (1.8043) Prec@1 57.812 (58.986) Prec@5 75.781 (80.801) Epoch: [42][8480/10010] Time 0.318 (0.327) Data 0.001 (0.001) Loss 1.7917 (1.8044) Prec@1 57.812 (58.983) Prec@5 83.594 (80.800) Epoch: [42][8490/10010] Time 0.336 (0.327) Data 0.001 (0.001) Loss 1.5425 (1.8043) Prec@1 60.938 (58.984) Prec@5 84.375 (80.801) Epoch: [42][8500/10010] Time 0.333 (0.327) Data 0.001 (0.001) Loss 1.5766 (1.8044) Prec@1 67.188 (58.984) Prec@5 83.594 (80.800) Epoch: [42][8510/10010] Time 0.313 (0.327) Data 0.000 (0.001) Loss 1.9695 (1.8044) Prec@1 57.031 (58.982) Prec@5 77.344 (80.799) Epoch: [42][8520/10010] Time 0.336 (0.327) Data 0.001 (0.001) Loss 1.6980 (1.8045) Prec@1 63.281 (58.981) Prec@5 79.688 (80.798) Epoch: [42][8530/10010] Time 0.319 (0.327) Data 0.001 (0.001) Loss 1.3871 (1.8044) Prec@1 64.844 (58.982) Prec@5 87.500 (80.797) Epoch: [42][8540/10010] Time 0.312 (0.327) Data 0.001 (0.001) Loss 1.9776 (1.8045) Prec@1 53.906 (58.981) Prec@5 78.125 (80.798) Epoch: [42][8550/10010] Time 0.319 (0.327) Data 0.001 (0.001) Loss 1.6399 (1.8044) Prec@1 65.625 (58.981) Prec@5 85.938 (80.798) Epoch: [42][8560/10010] Time 0.319 (0.327) Data 0.000 (0.001) Loss 1.8225 (1.8045) Prec@1 57.031 (58.980) Prec@5 76.562 (80.799) Epoch: [42][8570/10010] Time 0.322 (0.327) Data 0.001 (0.001) Loss 1.8660 (1.8045) Prec@1 57.031 (58.980) Prec@5 82.031 (80.797) Epoch: [42][8580/10010] Time 0.341 (0.327) Data 0.001 (0.001) Loss 1.7071 (1.8043) Prec@1 62.500 (58.982) Prec@5 80.469 (80.800) Epoch: [42][8590/10010] Time 0.341 (0.327) Data 0.000 (0.001) Loss 1.5112 (1.8044) Prec@1 63.281 (58.981) Prec@5 85.156 (80.799) Epoch: [42][8600/10010] Time 0.319 (0.327) Data 0.000 (0.001) Loss 1.9820 (1.8045) Prec@1 50.781 (58.980) Prec@5 75.000 (80.797) Epoch: [42][8610/10010] Time 0.321 (0.327) Data 0.001 (0.001) Loss 1.8898 (1.8045) Prec@1 60.938 (58.980) Prec@5 78.125 (80.796) Epoch: [42][8620/10010] Time 0.320 (0.327) Data 0.001 (0.001) Loss 1.9593 (1.8045) Prec@1 58.594 (58.979) Prec@5 78.125 (80.796) Epoch: [42][8630/10010] Time 0.329 (0.327) Data 0.001 (0.001) Loss 1.9995 (1.8045) Prec@1 58.594 (58.980) Prec@5 75.000 (80.797) Epoch: [42][8640/10010] Time 0.343 (0.327) Data 0.000 (0.001) Loss 1.8673 (1.8045) Prec@1 55.469 (58.980) Prec@5 79.688 (80.798) Epoch: [42][8650/10010] Time 0.327 (0.327) Data 0.001 (0.001) Loss 1.8649 (1.8046) Prec@1 57.812 (58.978) Prec@5 78.125 (80.797) Epoch: [42][8660/10010] Time 0.336 (0.327) Data 0.000 (0.001) Loss 1.8147 (1.8047) Prec@1 63.281 (58.975) Prec@5 79.688 (80.794) Epoch: [42][8670/10010] Time 0.342 (0.327) Data 0.001 (0.001) Loss 1.6391 (1.8047) Prec@1 64.844 (58.976) Prec@5 82.812 (80.794) Epoch: [42][8680/10010] Time 0.321 (0.327) Data 0.001 (0.001) Loss 1.9114 (1.8048) Prec@1 54.688 (58.974) Prec@5 75.000 (80.793) Epoch: [42][8690/10010] Time 0.334 (0.327) Data 0.001 (0.001) Loss 2.1920 (1.8048) Prec@1 53.906 (58.974) Prec@5 74.219 (80.790) Epoch: [42][8700/10010] Time 0.319 (0.327) Data 0.001 (0.001) Loss 1.7610 (1.8048) Prec@1 58.594 (58.976) Prec@5 79.688 (80.790) Epoch: [42][8710/10010] Time 0.314 (0.327) Data 0.001 (0.001) Loss 1.6453 (1.8049) Prec@1 65.625 (58.975) Prec@5 85.156 (80.789) Epoch: [42][8720/10010] Time 0.339 (0.327) Data 0.001 (0.001) Loss 1.9035 (1.8048) Prec@1 65.625 (58.978) Prec@5 76.562 (80.791) Epoch: [42][8730/10010] Time 0.329 (0.327) Data 0.001 (0.001) Loss 1.8742 (1.8048) Prec@1 54.688 (58.978) Prec@5 83.594 (80.791) Epoch: [42][8740/10010] Time 0.339 (0.327) Data 0.001 (0.001) Loss 2.0134 (1.8050) Prec@1 56.250 (58.975) Prec@5 75.000 (80.789) Epoch: [42][8750/10010] Time 0.315 (0.327) Data 0.001 (0.001) Loss 2.0629 (1.8051) Prec@1 54.688 (58.974) Prec@5 77.344 (80.789) Epoch: [42][8760/10010] Time 0.339 (0.327) Data 0.001 (0.001) Loss 1.8575 (1.8051) Prec@1 57.812 (58.974) Prec@5 82.031 (80.789) Epoch: [42][8770/10010] Time 0.326 (0.327) Data 0.001 (0.001) Loss 1.8945 (1.8051) Prec@1 55.469 (58.974) Prec@5 79.688 (80.789) Epoch: [42][8780/10010] Time 0.320 (0.327) Data 0.001 (0.001) Loss 1.7252 (1.8051) Prec@1 60.938 (58.975) Prec@5 83.594 (80.789) Epoch: [42][8790/10010] Time 0.322 (0.327) Data 0.001 (0.001) Loss 1.7195 (1.8052) Prec@1 57.812 (58.975) Prec@5 83.594 (80.788) Epoch: [42][8800/10010] Time 0.324 (0.327) Data 0.000 (0.001) Loss 1.8976 (1.8052) Prec@1 57.031 (58.973) Prec@5 76.562 (80.786) Epoch: [42][8810/10010] Time 0.323 (0.327) Data 0.001 (0.001) Loss 1.8282 (1.8052) Prec@1 64.062 (58.974) Prec@5 82.031 (80.788) Epoch: [42][8820/10010] Time 0.337 (0.327) Data 0.001 (0.001) Loss 2.1414 (1.8052) Prec@1 49.219 (58.975) Prec@5 78.906 (80.787) Epoch: [42][8830/10010] Time 0.331 (0.327) Data 0.000 (0.001) Loss 2.0160 (1.8052) Prec@1 55.469 (58.975) Prec@5 74.219 (80.787) Epoch: [42][8840/10010] Time 0.321 (0.327) Data 0.001 (0.001) Loss 1.8749 (1.8053) Prec@1 53.125 (58.972) Prec@5 77.344 (80.785) Epoch: [42][8850/10010] Time 0.320 (0.327) Data 0.001 (0.001) Loss 1.6031 (1.8052) Prec@1 57.031 (58.972) Prec@5 89.844 (80.787) Epoch: [42][8860/10010] Time 0.323 (0.327) Data 0.001 (0.001) Loss 1.7475 (1.8053) Prec@1 61.719 (58.970) Prec@5 83.594 (80.785) Epoch: [42][8870/10010] Time 0.315 (0.327) Data 0.000 (0.001) Loss 2.0652 (1.8054) Prec@1 57.812 (58.969) Prec@5 73.438 (80.784) Epoch: [42][8880/10010] Time 0.335 (0.327) Data 0.001 (0.001) Loss 1.6652 (1.8054) Prec@1 56.250 (58.970) Prec@5 82.031 (80.784) Epoch: [42][8890/10010] Time 0.331 (0.327) Data 0.001 (0.001) Loss 1.4975 (1.8052) Prec@1 67.188 (58.972) Prec@5 86.719 (80.786) Epoch: [42][8900/10010] Time 0.320 (0.327) Data 0.001 (0.001) Loss 1.9351 (1.8052) Prec@1 58.594 (58.972) Prec@5 81.250 (80.788) Epoch: [42][8910/10010] Time 0.338 (0.327) Data 0.001 (0.001) Loss 1.8985 (1.8051) Prec@1 56.250 (58.973) Prec@5 80.469 (80.790) Epoch: [42][8920/10010] Time 0.331 (0.327) Data 0.001 (0.001) Loss 1.6208 (1.8051) Prec@1 61.719 (58.973) Prec@5 84.375 (80.790) Epoch: [42][8930/10010] Time 0.318 (0.327) Data 0.000 (0.001) Loss 1.6185 (1.8050) Prec@1 57.812 (58.975) Prec@5 82.031 (80.792) Epoch: [42][8940/10010] Time 0.313 (0.327) Data 0.001 (0.001) Loss 1.6208 (1.8051) Prec@1 63.281 (58.974) Prec@5 82.812 (80.788) Epoch: [42][8950/10010] Time 0.319 (0.327) Data 0.001 (0.001) Loss 2.0816 (1.8051) Prec@1 55.469 (58.975) Prec@5 78.906 (80.789) Epoch: [42][8960/10010] Time 0.318 (0.327) Data 0.001 (0.001) Loss 1.6665 (1.8051) Prec@1 60.156 (58.975) Prec@5 82.812 (80.789) Epoch: [42][8970/10010] Time 0.323 (0.327) Data 0.000 (0.001) Loss 2.1402 (1.8051) Prec@1 50.781 (58.975) Prec@5 75.000 (80.787) Epoch: [42][8980/10010] Time 0.325 (0.327) Data 0.001 (0.001) Loss 1.7413 (1.8050) Prec@1 62.500 (58.975) Prec@5 80.469 (80.789) Epoch: [42][8990/10010] Time 0.323 (0.327) Data 0.000 (0.001) Loss 1.6091 (1.8050) Prec@1 66.406 (58.975) Prec@5 82.031 (80.790) Epoch: [42][9000/10010] Time 0.311 (0.327) Data 0.001 (0.001) Loss 1.8293 (1.8051) Prec@1 55.469 (58.973) Prec@5 80.469 (80.787) Epoch: [42][9010/10010] Time 0.332 (0.327) Data 0.001 (0.001) Loss 1.5215 (1.8051) Prec@1 63.281 (58.974) Prec@5 83.594 (80.786) Epoch: [42][9020/10010] Time 0.322 (0.327) Data 0.001 (0.001) Loss 1.8993 (1.8052) Prec@1 56.250 (58.972) Prec@5 80.469 (80.784) Epoch: [42][9030/10010] Time 0.318 (0.327) Data 0.000 (0.001) Loss 1.6334 (1.8052) Prec@1 60.938 (58.973) Prec@5 80.469 (80.784) Epoch: [42][9040/10010] Time 0.327 (0.327) Data 0.001 (0.001) Loss 1.9460 (1.8054) Prec@1 57.031 (58.969) Prec@5 80.469 (80.782) Epoch: [42][9050/10010] Time 0.319 (0.327) Data 0.001 (0.001) Loss 1.6618 (1.8054) Prec@1 59.375 (58.970) Prec@5 81.250 (80.781) Epoch: [42][9060/10010] Time 0.312 (0.327) Data 0.000 (0.001) Loss 1.7149 (1.8055) Prec@1 61.719 (58.969) Prec@5 82.812 (80.780) Epoch: [42][9070/10010] Time 0.331 (0.327) Data 0.000 (0.001) Loss 1.7380 (1.8055) Prec@1 59.375 (58.970) Prec@5 84.375 (80.779) /data/vision/torralba/deepscene/lib/anaconda2/lib/python2.7/site-packages/PIL/TiffImagePlugin.py:692: UserWarning: Possibly corrupt EXIF data. Expecting to read 2555904 bytes but only got 0. Skipping tag 0 "Skipping tag %s" % (size, len(data), tag)) Epoch: [42][9080/10010] Time 0.327 (0.327) Data 0.001 (0.001) Loss 1.6303 (1.8056) Prec@1 63.281 (58.970) Prec@5 85.156 (80.778) Epoch: [42][9090/10010] Time 0.320 (0.327) Data 0.001 (0.001) Loss 1.8149 (1.8056) Prec@1 60.156 (58.971) Prec@5 79.688 (80.778) Epoch: [42][9100/10010] Time 0.327 (0.327) Data 0.001 (0.001) Loss 1.9540 (1.8057) Prec@1 57.812 (58.970) Prec@5 77.344 (80.777) Epoch: [42][9110/10010] Time 0.324 (0.327) Data 0.001 (0.001) Loss 1.9000 (1.8057) Prec@1 56.250 (58.969) Prec@5 79.688 (80.778) Epoch: [42][9120/10010] Time 0.321 (0.327) Data 0.001 (0.001) Loss 1.7556 (1.8058) Prec@1 54.688 (58.968) Prec@5 80.469 (80.776) Epoch: [42][9130/10010] Time 0.314 (0.327) Data 0.001 (0.001) Loss 1.7535 (1.8057) Prec@1 66.406 (58.967) Prec@5 79.688 (80.776) Epoch: [42][9140/10010] Time 0.327 (0.327) Data 0.001 (0.001) Loss 1.9721 (1.8059) Prec@1 51.562 (58.964) Prec@5 77.344 (80.774) Epoch: [42][9150/10010] Time 0.338 (0.327) Data 0.001 (0.001) Loss 1.8982 (1.8059) Prec@1 53.906 (58.965) Prec@5 78.906 (80.775) Epoch: [42][9160/10010] Time 0.319 (0.327) Data 0.001 (0.001) Loss 1.6135 (1.8059) Prec@1 63.281 (58.964) Prec@5 85.938 (80.776) Epoch: [42][9170/10010] Time 0.338 (0.327) Data 0.000 (0.001) Loss 1.6730 (1.8060) Prec@1 63.281 (58.964) Prec@5 83.594 (80.778) Epoch: [42][9180/10010] Time 0.315 (0.327) Data 0.001 (0.001) Loss 1.5201 (1.8059) Prec@1 64.844 (58.965) Prec@5 83.594 (80.778) Epoch: [42][9190/10010] Time 0.312 (0.327) Data 0.001 (0.001) Loss 1.5457 (1.8058) Prec@1 62.500 (58.966) Prec@5 85.156 (80.778) Epoch: [42][9200/10010] Time 0.334 (0.327) Data 0.001 (0.001) Loss 1.7465 (1.8059) Prec@1 57.812 (58.965) Prec@5 81.250 (80.778) Epoch: [42][9210/10010] Time 0.337 (0.327) Data 0.001 (0.001) Loss 1.9795 (1.8059) Prec@1 54.688 (58.963) Prec@5 80.469 (80.777) Epoch: [42][9220/10010] Time 0.333 (0.327) Data 0.001 (0.001) Loss 1.8285 (1.8059) Prec@1 59.375 (58.963) Prec@5 78.906 (80.777) Epoch: [42][9230/10010] Time 0.343 (0.327) Data 0.000 (0.001) Loss 1.7231 (1.8059) Prec@1 59.375 (58.962) Prec@5 83.594 (80.777) Epoch: [42][9240/10010] Time 0.309 (0.327) Data 0.001 (0.001) Loss 1.9382 (1.8059) Prec@1 60.156 (58.963) Prec@5 82.031 (80.778) Epoch: [42][9250/10010] Time 0.340 (0.327) Data 0.001 (0.001) Loss 1.9669 (1.8059) Prec@1 52.344 (58.961) Prec@5 78.125 (80.778) Epoch: [42][9260/10010] Time 0.319 (0.327) Data 0.001 (0.001) Loss 1.4654 (1.8059) Prec@1 62.500 (58.961) Prec@5 84.375 (80.776) Epoch: [42][9270/10010] Time 0.334 (0.327) Data 0.000 (0.001) Loss 1.9057 (1.8060) Prec@1 59.375 (58.962) Prec@5 78.125 (80.777) Epoch: [42][9280/10010] Time 0.336 (0.327) Data 0.001 (0.001) Loss 1.9120 (1.8059) Prec@1 61.719 (58.962) Prec@5 83.594 (80.778) Epoch: [42][9290/10010] Time 0.335 (0.327) Data 0.000 (0.001) Loss 1.8121 (1.8060) Prec@1 60.156 (58.960) Prec@5 79.688 (80.776) Epoch: [42][9300/10010] Time 0.323 (0.327) Data 0.001 (0.001) Loss 1.9978 (1.8061) Prec@1 59.375 (58.960) Prec@5 75.781 (80.774) Epoch: [42][9310/10010] Time 0.322 (0.327) Data 0.001 (0.001) Loss 1.4089 (1.8060) Prec@1 65.625 (58.962) Prec@5 86.719 (80.776) Epoch: [42][9320/10010] Time 0.335 (0.327) Data 0.001 (0.001) Loss 1.7202 (1.8060) Prec@1 58.594 (58.960) Prec@5 83.594 (80.775) Epoch: [42][9330/10010] Time 0.336 (0.327) Data 0.000 (0.001) Loss 1.9415 (1.8061) Prec@1 55.469 (58.959) Prec@5 78.906 (80.774) Epoch: [42][9340/10010] Time 0.322 (0.327) Data 0.000 (0.001) Loss 1.8417 (1.8061) Prec@1 60.156 (58.960) Prec@5 80.469 (80.775) Epoch: [42][9350/10010] Time 0.318 (0.327) Data 0.001 (0.001) Loss 1.6465 (1.8060) Prec@1 65.625 (58.961) Prec@5 83.594 (80.774) Epoch: [42][9360/10010] Time 0.318 (0.327) Data 0.000 (0.001) Loss 1.4089 (1.8061) Prec@1 61.719 (58.960) Prec@5 83.594 (80.774) Epoch: [42][9370/10010] Time 0.318 (0.327) Data 0.001 (0.001) Loss 1.6789 (1.8061) Prec@1 60.156 (58.961) Prec@5 80.469 (80.773) Epoch: [42][9380/10010] Time 0.323 (0.327) Data 0.000 (0.001) Loss 1.8611 (1.8061) Prec@1 55.469 (58.962) Prec@5 76.562 (80.772) Epoch: [42][9390/10010] Time 0.336 (0.327) Data 0.001 (0.001) Loss 1.8748 (1.8061) Prec@1 56.250 (58.962) Prec@5 76.562 (80.771) Epoch: [42][9400/10010] Time 0.339 (0.327) Data 0.001 (0.001) Loss 1.3541 (1.8061) Prec@1 69.531 (58.962) Prec@5 85.156 (80.770) Epoch: [42][9410/10010] Time 0.328 (0.327) Data 0.001 (0.001) Loss 1.5697 (1.8061) Prec@1 58.594 (58.963) Prec@5 86.719 (80.771) Epoch: [42][9420/10010] Time 0.320 (0.327) Data 0.000 (0.001) Loss 1.8873 (1.8062) Prec@1 57.812 (58.962) Prec@5 78.906 (80.771) Epoch: [42][9430/10010] Time 0.315 (0.327) Data 0.001 (0.001) Loss 1.5937 (1.8061) Prec@1 57.812 (58.962) Prec@5 86.719 (80.772) Epoch: [42][9440/10010] Time 0.320 (0.327) Data 0.001 (0.001) Loss 1.9861 (1.8060) Prec@1 53.906 (58.964) Prec@5 77.344 (80.774) Epoch: [42][9450/10010] Time 0.317 (0.327) Data 0.001 (0.001) Loss 1.7211 (1.8059) Prec@1 59.375 (58.967) Prec@5 79.688 (80.775) Epoch: [42][9460/10010] Time 0.319 (0.327) Data 0.001 (0.001) Loss 1.8726 (1.8059) Prec@1 56.250 (58.968) Prec@5 79.688 (80.775) Epoch: [42][9470/10010] Time 0.317 (0.326) Data 0.001 (0.001) Loss 1.7161 (1.8058) Prec@1 61.719 (58.968) Prec@5 83.594 (80.777) Epoch: [42][9480/10010] Time 0.337 (0.326) Data 0.001 (0.001) Loss 2.2098 (1.8059) Prec@1 55.469 (58.968) Prec@5 76.562 (80.776) Epoch: [42][9490/10010] Time 0.322 (0.326) Data 0.000 (0.001) Loss 1.5689 (1.8058) Prec@1 59.375 (58.968) Prec@5 85.938 (80.778) Epoch: [42][9500/10010] Time 0.334 (0.326) Data 0.000 (0.001) Loss 1.7928 (1.8059) Prec@1 61.719 (58.967) Prec@5 84.375 (80.778) Epoch: [42][9510/10010] Time 0.323 (0.326) Data 0.001 (0.001) Loss 1.8903 (1.8060) Prec@1 56.250 (58.967) Prec@5 75.781 (80.777) Epoch: [42][9520/10010] Time 0.331 (0.326) Data 0.001 (0.001) Loss 1.7901 (1.8060) Prec@1 63.281 (58.968) Prec@5 82.812 (80.777) Epoch: [42][9530/10010] Time 0.318 (0.326) Data 0.001 (0.001) Loss 1.6923 (1.8060) Prec@1 65.625 (58.969) Prec@5 82.812 (80.777) Epoch: [42][9540/10010] Time 0.314 (0.326) Data 0.001 (0.001) Loss 2.1836 (1.8060) Prec@1 48.438 (58.966) Prec@5 75.781 (80.777) Epoch: [42][9550/10010] Time 0.324 (0.326) Data 0.001 (0.001) Loss 1.7232 (1.8060) Prec@1 59.375 (58.966) Prec@5 85.156 (80.776) Epoch: [42][9560/10010] Time 0.316 (0.326) Data 0.001 (0.001) Loss 1.7635 (1.8060) Prec@1 62.500 (58.968) Prec@5 80.469 (80.778) Epoch: [42][9570/10010] Time 0.321 (0.326) Data 0.001 (0.001) Loss 1.8230 (1.8059) Prec@1 58.594 (58.968) Prec@5 78.906 (80.777) Epoch: [42][9580/10010] Time 0.335 (0.326) Data 0.001 (0.001) Loss 1.7934 (1.8060) Prec@1 59.375 (58.967) Prec@5 80.469 (80.777) Epoch: [42][9590/10010] Time 0.323 (0.326) Data 0.001 (0.001) Loss 2.0541 (1.8060) Prec@1 57.812 (58.967) Prec@5 76.562 (80.777) Epoch: [42][9600/10010] Time 0.331 (0.326) Data 0.000 (0.001) Loss 1.7901 (1.8060) Prec@1 61.719 (58.967) Prec@5 78.125 (80.777) Epoch: [42][9610/10010] Time 0.333 (0.326) Data 0.001 (0.001) Loss 1.7907 (1.8060) Prec@1 64.062 (58.967) Prec@5 82.031 (80.776) Epoch: [42][9620/10010] Time 0.312 (0.326) Data 0.001 (0.001) Loss 1.6502 (1.8060) Prec@1 63.281 (58.969) Prec@5 85.156 (80.777) Epoch: [42][9630/10010] Time 0.316 (0.326) Data 0.001 (0.001) Loss 1.7096 (1.8060) Prec@1 61.719 (58.971) Prec@5 82.812 (80.777) Epoch: [42][9640/10010] Time 0.330 (0.326) Data 0.000 (0.001) Loss 1.7477 (1.8060) Prec@1 62.500 (58.972) Prec@5 82.812 (80.778) Epoch: [42][9650/10010] Time 0.339 (0.326) Data 0.001 (0.001) Loss 1.5953 (1.8060) Prec@1 59.375 (58.973) Prec@5 82.812 (80.778) Epoch: [42][9660/10010] Time 0.325 (0.326) Data 0.001 (0.001) Loss 1.7342 (1.8060) Prec@1 60.938 (58.973) Prec@5 80.469 (80.778) Epoch: [42][9670/10010] Time 0.335 (0.326) Data 0.000 (0.001) Loss 1.7724 (1.8059) Prec@1 60.156 (58.975) Prec@5 83.594 (80.779) Epoch: [42][9680/10010] Time 0.323 (0.326) Data 0.000 (0.001) Loss 1.7047 (1.8058) Prec@1 55.469 (58.976) Prec@5 77.344 (80.779) Epoch: [42][9690/10010] Time 0.340 (0.326) Data 0.000 (0.001) Loss 1.6781 (1.8059) Prec@1 62.500 (58.974) Prec@5 79.688 (80.778) Epoch: [42][9700/10010] Time 0.333 (0.326) Data 0.001 (0.001) Loss 1.8459 (1.8059) Prec@1 58.594 (58.972) Prec@5 80.469 (80.778) Epoch: [42][9710/10010] Time 0.332 (0.326) Data 0.001 (0.001) Loss 1.7831 (1.8059) Prec@1 54.688 (58.972) Prec@5 80.469 (80.778) Epoch: [42][9720/10010] Time 0.327 (0.326) Data 0.001 (0.001) Loss 1.8927 (1.8058) Prec@1 54.688 (58.974) Prec@5 80.469 (80.779) Epoch: [42][9730/10010] Time 0.315 (0.326) Data 0.001 (0.001) Loss 2.0472 (1.8058) Prec@1 54.688 (58.975) Prec@5 77.344 (80.779) Epoch: [42][9740/10010] Time 0.325 (0.326) Data 0.001 (0.001) Loss 1.6958 (1.8059) Prec@1 59.375 (58.974) Prec@5 82.031 (80.779) Epoch: [42][9750/10010] Time 0.320 (0.326) Data 0.001 (0.001) Loss 1.8323 (1.8059) Prec@1 51.562 (58.972) Prec@5 78.906 (80.779) Epoch: [42][9760/10010] Time 0.322 (0.326) Data 0.001 (0.001) Loss 1.9146 (1.8059) Prec@1 59.375 (58.972) Prec@5 78.906 (80.779) Epoch: [42][9770/10010] Time 0.331 (0.326) Data 0.001 (0.001) Loss 1.9698 (1.8060) Prec@1 56.250 (58.971) Prec@5 78.125 (80.777) Epoch: [42][9780/10010] Time 0.336 (0.326) Data 0.001 (0.001) Loss 1.7668 (1.8060) Prec@1 57.031 (58.969) Prec@5 84.375 (80.777) Epoch: [42][9790/10010] Time 0.334 (0.326) Data 0.001 (0.001) Loss 1.7296 (1.8061) Prec@1 58.594 (58.968) Prec@5 77.344 (80.777) Epoch: [42][9800/10010] Time 0.323 (0.326) Data 0.001 (0.001) Loss 1.8821 (1.8061) Prec@1 61.719 (58.966) Prec@5 78.125 (80.775) Epoch: [42][9810/10010] Time 0.321 (0.326) Data 0.001 (0.001) Loss 1.8250 (1.8060) Prec@1 57.812 (58.969) Prec@5 78.125 (80.776) Epoch: [42][9820/10010] Time 0.316 (0.326) Data 0.000 (0.001) Loss 1.8749 (1.8060) Prec@1 56.250 (58.967) Prec@5 82.031 (80.776) Epoch: [42][9830/10010] Time 0.338 (0.326) Data 0.001 (0.001) Loss 1.9325 (1.8062) Prec@1 54.688 (58.965) Prec@5 78.906 (80.774) Epoch: [42][9840/10010] Time 0.313 (0.326) Data 0.001 (0.001) Loss 2.2184 (1.8062) Prec@1 55.469 (58.965) Prec@5 74.219 (80.775) Epoch: [42][9850/10010] Time 0.334 (0.326) Data 0.001 (0.001) Loss 2.0519 (1.8062) Prec@1 58.594 (58.966) Prec@5 71.875 (80.774) Epoch: [42][9860/10010] Time 0.324 (0.326) Data 0.001 (0.001) Loss 2.1646 (1.8064) Prec@1 52.344 (58.963) Prec@5 76.562 (80.772) Epoch: [42][9870/10010] Time 0.317 (0.326) Data 0.001 (0.001) Loss 1.8235 (1.8064) Prec@1 56.250 (58.962) Prec@5 81.250 (80.772) Epoch: [42][9880/10010] Time 0.329 (0.326) Data 0.001 (0.001) Loss 1.8359 (1.8064) Prec@1 58.594 (58.962) Prec@5 79.688 (80.771) Epoch: [42][9890/10010] Time 0.316 (0.326) Data 0.000 (0.001) Loss 1.5641 (1.8065) Prec@1 64.844 (58.962) Prec@5 79.688 (80.770) Epoch: [42][9900/10010] Time 0.335 (0.326) Data 0.001 (0.001) Loss 2.0946 (1.8065) Prec@1 55.469 (58.962) Prec@5 71.094 (80.769) Epoch: [42][9910/10010] Time 0.336 (0.326) Data 0.001 (0.001) Loss 1.7434 (1.8065) Prec@1 58.594 (58.962) Prec@5 81.250 (80.768) Epoch: [42][9920/10010] Time 0.326 (0.326) Data 0.001 (0.001) Loss 1.9360 (1.8065) Prec@1 50.781 (58.961) Prec@5 81.250 (80.769) Epoch: [42][9930/10010] Time 0.317 (0.326) Data 0.001 (0.001) Loss 1.5803 (1.8065) Prec@1 64.062 (58.964) Prec@5 85.938 (80.770) Epoch: [42][9940/10010] Time 0.316 (0.326) Data 0.001 (0.001) Loss 1.4158 (1.8065) Prec@1 64.844 (58.963) Prec@5 85.156 (80.770) Epoch: [42][9950/10010] Time 0.313 (0.326) Data 0.001 (0.001) Loss 1.4969 (1.8065) Prec@1 64.062 (58.963) Prec@5 86.719 (80.772) Epoch: [42][9960/10010] Time 0.333 (0.326) Data 0.001 (0.001) Loss 2.0866 (1.8065) Prec@1 53.906 (58.964) Prec@5 75.781 (80.772) Epoch: [42][9970/10010] Time 0.338 (0.326) Data 0.001 (0.001) Loss 1.6701 (1.8064) Prec@1 61.719 (58.967) Prec@5 82.812 (80.773) Epoch: [42][9980/10010] Time 0.316 (0.326) Data 0.000 (0.001) Loss 1.5804 (1.8065) Prec@1 61.719 (58.966) Prec@5 82.031 (80.772) Epoch: [42][9990/10010] Time 0.333 (0.326) Data 0.001 (0.001) Loss 1.7289 (1.8064) Prec@1 55.469 (58.966) Prec@5 82.812 (80.772) Epoch: [42][10000/10010] Time 0.332 (0.326) Data 0.000 (0.001) Loss 1.8325 (1.8065) Prec@1 59.375 (58.965) Prec@5 79.688 (80.772) Test: [0/391] Time 1.159 (1.159) Loss 0.9170 (0.9170) Prec@1 79.688 (79.688) Prec@5 92.188 (92.188) Test: [10/391] Time 0.114 (0.202) Loss 1.3395 (0.8253) Prec@1 67.188 (79.332) Prec@5 87.500 (93.821) Test: [20/391] Time 0.106 (0.155) Loss 1.0677 (1.1355) Prec@1 72.656 (71.429) Prec@5 92.969 (90.290) Test: [30/391] Time 0.112 (0.139) Loss 1.6877 (1.3073) Prec@1 67.969 (67.566) Prec@5 84.375 (88.584) Test: [40/391] Time 0.104 (0.134) Loss 1.1743 (1.1797) Prec@1 75.781 (70.427) Prec@5 87.500 (89.539) Test: [50/391] Time 0.112 (0.129) Loss 0.5730 (1.2072) Prec@1 84.375 (70.113) Prec@5 96.094 (89.262) Test: [60/391] Time 0.104 (0.125) Loss 1.3430 (1.1483) Prec@1 60.156 (71.580) Prec@5 86.719 (89.780) Test: [70/391] Time 0.109 (0.122) Loss 1.4325 (1.1702) Prec@1 60.156 (70.753) Prec@5 89.844 (89.855) Test: [80/391] Time 0.108 (0.121) Loss 1.2316 (1.1796) Prec@1 66.406 (70.129) Prec@5 89.062 (89.950) Test: [90/391] Time 0.097 (0.120) Loss 1.4644 (1.1999) Prec@1 57.031 (69.591) Prec@5 88.281 (89.921) Test: [100/391] Time 0.105 (0.118) Loss 0.9141 (1.1987) Prec@1 75.000 (69.175) Prec@5 92.188 (90.084) Test: [110/391] Time 0.111 (0.117) Loss 1.9356 (1.2026) Prec@1 44.531 (68.806) Prec@5 85.938 (90.224) Test: [120/391] Time 0.104 (0.116) Loss 1.0190 (1.1961) Prec@1 75.000 (69.066) Prec@5 94.531 (90.347) Test: [130/391] Time 0.109 (0.115) Loss 0.6717 (1.1864) Prec@1 84.375 (69.448) Prec@5 96.875 (90.476) Test: [140/391] Time 0.102 (0.115) Loss 1.2885 (1.1917) Prec@1 60.156 (69.348) Prec@5 92.969 (90.470) Test: [150/391] Time 0.103 (0.114) Loss 1.1785 (1.2002) Prec@1 60.938 (69.236) Prec@5 91.406 (90.309) Test: [160/391] Time 0.103 (0.114) Loss 1.6072 (1.2078) Prec@1 55.469 (69.119) Prec@5 89.844 (90.261) Test: [170/391] Time 0.106 (0.113) Loss 1.9454 (1.2479) Prec@1 52.344 (68.407) Prec@5 80.469 (89.666) Test: [180/391] Time 0.100 (0.113) Loss 2.1406 (1.2792) Prec@1 53.906 (67.800) Prec@5 80.469 (89.248) Test: [190/391] Time 0.096 (0.112) Loss 2.4533 (1.3148) Prec@1 49.219 (67.114) Prec@5 79.688 (88.760) Test: [200/391] Time 0.104 (0.112) Loss 1.6602 (1.3459) Prec@1 57.031 (66.519) Prec@5 85.156 (88.324) Test: [210/391] Time 0.108 (0.112) Loss 1.5974 (1.3657) Prec@1 66.406 (66.147) Prec@5 86.719 (88.100) Test: [220/391] Time 0.107 (0.112) Loss 0.7014 (1.3774) Prec@1 84.375 (66.010) Prec@5 94.531 (87.797) Test: [230/391] Time 0.103 (0.112) Loss 1.9495 (1.3968) Prec@1 56.250 (65.682) Prec@5 80.469 (87.514) Test: [240/391] Time 0.105 (0.111) Loss 1.5905 (1.4062) Prec@1 67.188 (65.622) Prec@5 82.812 (87.318) Test: [250/391] Time 0.108 (0.111) Loss 1.1573 (1.4334) Prec@1 76.562 (65.012) Prec@5 86.719 (86.980) Test: [260/391] Time 0.103 (0.111) Loss 1.6764 (1.4534) Prec@1 65.625 (64.598) Prec@5 83.594 (86.716) Test: [270/391] Time 0.102 (0.111) Loss 2.2953 (1.4671) Prec@1 44.531 (64.342) Prec@5 78.125 (86.474) Test: [280/391] Time 0.108 (0.111) Loss 1.8019 (1.4775) Prec@1 53.906 (64.149) Prec@5 82.812 (86.346) Test: [290/391] Time 0.114 (0.110) Loss 1.8708 (1.4897) Prec@1 50.781 (63.947) Prec@5 85.156 (86.125) Test: [300/391] Time 0.106 (0.110) Loss 1.5327 (1.5026) Prec@1 73.438 (63.748) Prec@5 83.594 (85.943) Test: [310/391] Time 0.101 (0.110) Loss 1.7609 (1.5136) Prec@1 66.406 (63.618) Prec@5 78.906 (85.744) Test: [320/391] Time 0.151 (0.110) Loss 1.0934 (1.5227) Prec@1 76.562 (63.420) Prec@5 92.188 (85.658) Test: [330/391] Time 0.109 (0.110) Loss 2.1870 (1.5430) Prec@1 53.906 (63.026) Prec@5 73.438 (85.362) Test: [340/391] Time 0.110 (0.110) Loss 1.2490 (1.5491) Prec@1 67.188 (62.869) Prec@5 92.188 (85.294) Test: [350/391] Time 0.110 (0.110) Loss 1.3548 (1.5529) Prec@1 73.438 (62.847) Prec@5 91.406 (85.225) Test: [360/391] Time 0.106 (0.110) Loss 1.7043 (1.5630) Prec@1 55.469 (62.647) Prec@5 84.375 (85.128) Test: [370/391] Time 0.100 (0.110) Loss 1.2989 (1.5592) Prec@1 63.281 (62.744) Prec@5 92.188 (85.150) Test: [380/391] Time 0.100 (0.110) Loss 1.2096 (1.5646) Prec@1 67.188 (62.637) Prec@5 89.062 (85.078) Test: [390/391] Time 0.066 (0.109) Loss 2.0618 (1.5554) Prec@1 50.000 (62.870) Prec@5 82.500 (85.182) * Prec@1 62.870 Prec@5 85.182 Epoch: [43][0/10010] Time 2.334 (2.334) Data 2.127 (2.127) Loss 2.0459 (2.0459) Prec@1 55.469 (55.469) Prec@5 78.125 (78.125) Epoch: [43][10/10010] Time 0.315 (0.500) Data 0.001 (0.196) Loss 1.8021 (1.8935) Prec@1 65.625 (58.523) Prec@5 81.250 (79.759) Epoch: [43][20/10010] Time 0.317 (0.412) Data 0.000 (0.103) Loss 1.9401 (1.8756) Prec@1 54.688 (58.594) Prec@5 79.688 (80.171) Epoch: [43][30/10010] Time 0.321 (0.381) Data 0.001 (0.070) Loss 1.7019 (1.8283) Prec@1 60.938 (59.098) Prec@5 83.594 (80.696) Epoch: [43][40/10010] Time 0.315 (0.365) Data 0.000 (0.053) Loss 1.5280 (1.7932) Prec@1 64.844 (59.775) Prec@5 87.500 (81.136) Epoch: [43][50/10010] Time 0.329 (0.359) Data 0.000 (0.043) Loss 1.9172 (1.7900) Prec@1 52.344 (59.666) Prec@5 82.812 (81.250) Epoch: [43][60/10010] Time 0.341 (0.354) Data 0.000 (0.036) Loss 1.9022 (1.8030) Prec@1 57.031 (59.465) Prec@5 78.125 (80.917) Epoch: [43][70/10010] Time 0.335 (0.352) Data 0.001 (0.031) Loss 1.5357 (1.7897) Prec@1 67.969 (59.639) Prec@5 86.719 (81.008) Epoch: [43][80/10010] Time 0.322 (0.348) Data 0.000 (0.027) Loss 2.1491 (1.7932) Prec@1 50.781 (59.568) Prec@5 75.781 (80.903) Epoch: [43][90/10010] Time 0.331 (0.345) Data 0.000 (0.024) Loss 1.9503 (1.7919) Prec@1 57.031 (59.590) Prec@5 82.031 (81.061) Epoch: [43][100/10010] Time 0.316 (0.343) Data 0.001 (0.022) Loss 2.0172 (1.8033) Prec@1 55.469 (59.259) Prec@5 79.688 (80.894) Epoch: [43][110/10010] Time 0.322 (0.341) Data 0.000 (0.020) Loss 1.5109 (1.8016) Prec@1 59.375 (59.298) Prec@5 84.375 (80.990) Epoch: [43][120/10010] Time 0.321 (0.339) Data 0.001 (0.018) Loss 1.8528 (1.8061) Prec@1 55.469 (59.214) Prec@5 80.469 (81.005) Epoch: [43][130/10010] Time 0.326 (0.338) Data 0.001 (0.017) Loss 2.1567 (1.8067) Prec@1 52.344 (59.136) Prec@5 73.438 (80.964) Epoch: [43][140/10010] Time 0.318 (0.337) Data 0.001 (0.016) Loss 1.4982 (1.8057) Prec@1 65.625 (59.131) Prec@5 84.375 (81.001) Epoch: [43][150/10010] Time 0.314 (0.335) Data 0.001 (0.015) Loss 1.5286 (1.7940) Prec@1 64.844 (59.370) Prec@5 84.375 (81.105) Epoch: [43][160/10010] Time 0.316 (0.335) Data 0.000 (0.014) Loss 1.5836 (1.7906) Prec@1 60.938 (59.409) Prec@5 83.594 (81.177) Epoch: [43][170/10010] Time 0.338 (0.334) Data 0.000 (0.013) Loss 1.4073 (1.7862) Prec@1 67.969 (59.549) Prec@5 85.938 (81.159) Epoch: [43][180/10010] Time 0.319 (0.333) Data 0.000 (0.012) Loss 1.8424 (1.7828) Prec@1 60.156 (59.677) Prec@5 78.906 (81.194) Epoch: [43][190/10010] Time 0.320 (0.333) Data 0.001 (0.012) Loss 1.6084 (1.7812) Prec@1 60.938 (59.657) Prec@5 89.062 (81.213) Epoch: [43][200/10010] Time 0.326 (0.332) Data 0.001 (0.011) Loss 1.4774 (1.7803) Prec@1 64.062 (59.647) Prec@5 87.500 (81.254) Epoch: [43][210/10010] Time 0.324 (0.332) Data 0.001 (0.011) Loss 1.8742 (1.7814) Prec@1 59.375 (59.634) Prec@5 81.250 (81.217) Epoch: [43][220/10010] Time 0.328 (0.332) Data 0.001 (0.010) Loss 1.7550 (1.7795) Prec@1 59.375 (59.711) Prec@5 81.250 (81.246) Epoch: [43][230/10010] Time 0.333 (0.331) Data 0.001 (0.010) Loss 1.7882 (1.7768) Prec@1 64.062 (59.801) Prec@5 79.688 (81.301) Epoch: [43][240/10010] Time 0.332 (0.331) Data 0.000 (0.010) Loss 2.0994 (1.7795) Prec@1 52.344 (59.741) Prec@5 78.125 (81.289) Epoch: [43][250/10010] Time 0.315 (0.331) Data 0.000 (0.009) Loss 2.0015 (1.7812) Prec@1 59.375 (59.686) Prec@5 78.906 (81.238) Epoch: [43][260/10010] Time 0.321 (0.330) Data 0.001 (0.009) Loss 1.9082 (1.7790) Prec@1 54.688 (59.683) Prec@5 83.594 (81.304) Epoch: [43][270/10010] Time 0.323 (0.330) Data 0.001 (0.009) Loss 2.0286 (1.7789) Prec@1 53.125 (59.695) Prec@5 76.562 (81.262) Epoch: [43][280/10010] Time 0.323 (0.330) Data 0.000 (0.008) Loss 1.5077 (1.7802) Prec@1 64.062 (59.678) Prec@5 85.156 (81.267) Epoch: [43][290/10010] Time 0.337 (0.330) Data 0.000 (0.008) Loss 1.8770 (1.7800) Prec@1 62.500 (59.748) Prec@5 78.906 (81.220) Epoch: [43][300/10010] Time 0.325 (0.330) Data 0.001 (0.008) Loss 1.4760 (1.7804) Prec@1 67.188 (59.751) Prec@5 87.500 (81.227) Epoch: [43][310/10010] Time 0.322 (0.329) Data 0.000 (0.008) Loss 1.9777 (1.7793) Prec@1 53.125 (59.764) Prec@5 75.000 (81.220) Epoch: [43][320/10010] Time 0.323 (0.329) Data 0.000 (0.007) Loss 1.8240 (1.7783) Prec@1 64.844 (59.789) Prec@5 81.250 (81.233) Epoch: [43][330/10010] Time 0.317 (0.329) Data 0.001 (0.007) Loss 1.9929 (1.7755) Prec@1 50.000 (59.795) Prec@5 80.469 (81.285) Epoch: [43][340/10010] Time 0.326 (0.329) Data 0.001 (0.007) Loss 1.6483 (1.7785) Prec@1 66.406 (59.737) Prec@5 85.156 (81.234) Epoch: [43][350/10010] Time 0.323 (0.329) Data 0.001 (0.007) Loss 1.6763 (1.7801) Prec@1 58.594 (59.713) Prec@5 85.156 (81.221) Epoch: [43][360/10010] Time 0.332 (0.328) Data 0.001 (0.007) Loss 1.9060 (1.7820) Prec@1 53.125 (59.648) Prec@5 84.375 (81.220) Epoch: [43][370/10010] Time 0.322 (0.328) Data 0.000 (0.006) Loss 1.9298 (1.7793) Prec@1 60.938 (59.685) Prec@5 81.250 (81.254) Epoch: [43][380/10010] Time 0.317 (0.328) Data 0.001 (0.006) Loss 1.9600 (1.7790) Prec@1 52.344 (59.631) Prec@5 78.125 (81.250) Epoch: [43][390/10010] Time 0.324 (0.328) Data 0.001 (0.006) Loss 2.0292 (1.7801) Prec@1 59.375 (59.631) Prec@5 78.906 (81.250) Epoch: [43][400/10010] Time 0.343 (0.328) Data 0.000 (0.006) Loss 1.8587 (1.7782) Prec@1 60.938 (59.677) Prec@5 81.250 (81.277) Epoch: [43][410/10010] Time 0.335 (0.328) Data 0.000 (0.006) Loss 1.8128 (1.7779) Prec@1 60.938 (59.666) Prec@5 82.812 (81.286) Epoch: [43][420/10010] Time 0.316 (0.328) Data 0.000 (0.006) Loss 1.9276 (1.7802) Prec@1 57.812 (59.661) Prec@5 81.250 (81.263) Epoch: [43][430/10010] Time 0.312 (0.328) Data 0.001 (0.006) Loss 1.6959 (1.7769) Prec@1 60.156 (59.701) Prec@5 81.250 (81.306) Epoch: [43][440/10010] Time 0.314 (0.328) Data 0.000 (0.005) Loss 1.8563 (1.7780) Prec@1 60.156 (59.674) Prec@5 77.344 (81.298) Epoch: [43][450/10010] Time 0.319 (0.328) Data 0.001 (0.005) Loss 1.3985 (1.7765) Prec@1 68.750 (59.702) Prec@5 85.938 (81.311) Epoch: [43][460/10010] Time 0.326 (0.328) Data 0.000 (0.005) Loss 1.7290 (1.7782) Prec@1 54.688 (59.650) Prec@5 80.469 (81.301) Epoch: [43][470/10010] Time 0.314 (0.328) Data 0.000 (0.005) Loss 1.7650 (1.7771) Prec@1 55.469 (59.652) Prec@5 83.594 (81.335) Epoch: [43][480/10010] Time 0.334 (0.328) Data 0.000 (0.005) Loss 1.7201 (1.7766) Prec@1 60.938 (59.677) Prec@5 82.031 (81.375) Epoch: [43][490/10010] Time 0.318 (0.328) Data 0.001 (0.005) Loss 2.0135 (1.7767) Prec@1 60.156 (59.708) Prec@5 78.125 (81.366) Epoch: [43][500/10010] Time 0.330 (0.328) Data 0.000 (0.005) Loss 1.7885 (1.7766) Prec@1 59.375 (59.710) Prec@5 82.812 (81.381) Epoch: [43][510/10010] Time 0.326 (0.328) Data 0.001 (0.005) Loss 1.5511 (1.7773) Prec@1 64.844 (59.713) Prec@5 85.156 (81.362) Epoch: [43][520/10010] Time 0.332 (0.327) Data 0.000 (0.005) Loss 2.1703 (1.7791) Prec@1 52.344 (59.688) Prec@5 77.344 (81.319) Epoch: [43][530/10010] Time 0.318 (0.327) Data 0.000 (0.005) Loss 1.7111 (1.7770) Prec@1 58.594 (59.728) Prec@5 78.125 (81.335) Epoch: [43][540/10010] Time 0.315 (0.327) Data 0.000 (0.005) Loss 1.7856 (1.7767) Prec@1 60.156 (59.755) Prec@5 78.125 (81.322) Epoch: [43][550/10010] Time 0.324 (0.327) Data 0.001 (0.004) Loss 1.9030 (1.7741) Prec@1 54.688 (59.813) Prec@5 80.469 (81.352) Epoch: [43][560/10010] Time 0.335 (0.327) Data 0.000 (0.004) Loss 1.8891 (1.7730) Prec@1 58.594 (59.825) Prec@5 77.344 (81.356) Epoch: [43][570/10010] Time 0.319 (0.327) Data 0.001 (0.004) Loss 1.7264 (1.7729) Prec@1 63.281 (59.825) Prec@5 82.031 (81.361) Epoch: [43][580/10010] Time 0.337 (0.327) Data 0.001 (0.004) Loss 1.6831 (1.7725) Prec@1 60.156 (59.809) Prec@5 84.375 (81.378) Epoch: [43][590/10010] Time 0.320 (0.327) Data 0.001 (0.004) Loss 1.6409 (1.7718) Prec@1 59.375 (59.793) Prec@5 78.906 (81.381) Epoch: [43][600/10010] Time 0.334 (0.327) Data 0.001 (0.004) Loss 1.7472 (1.7727) Prec@1 56.250 (59.769) Prec@5 82.031 (81.358) Epoch: [43][610/10010] Time 0.327 (0.327) Data 0.000 (0.004) Loss 1.6875 (1.7719) Prec@1 64.062 (59.800) Prec@5 80.469 (81.359) Epoch: [43][620/10010] Time 0.318 (0.327) Data 0.001 (0.004) Loss 1.8247 (1.7707) Prec@1 59.375 (59.810) Prec@5 79.688 (81.390) Epoch: [43][630/10010] Time 0.317 (0.327) Data 0.001 (0.004) Loss 1.8786 (1.7713) Prec@1 60.156 (59.800) Prec@5 72.656 (81.349) Epoch: [43][640/10010] Time 0.336 (0.327) Data 0.000 (0.004) Loss 1.7623 (1.7710) Prec@1 58.594 (59.792) Prec@5 78.125 (81.354) Epoch: [43][650/10010] Time 0.322 (0.327) Data 0.000 (0.004) Loss 1.8016 (1.7702) Prec@1 57.031 (59.794) Prec@5 78.906 (81.356) Epoch: [43][660/10010] Time 0.341 (0.327) Data 0.000 (0.004) Loss 1.7791 (1.7710) Prec@1 55.469 (59.757) Prec@5 81.250 (81.367) /data/vision/torralba/deepscene/lib/anaconda2/lib/python2.7/site-packages/PIL/TiffImagePlugin.py:692: UserWarning: Possibly corrupt EXIF data. Expecting to read 19660800 bytes but only got 0. Skipping tag 0 "Skipping tag %s" % (size, len(data), tag)) /data/vision/torralba/deepscene/lib/anaconda2/lib/python2.7/site-packages/PIL/TiffImagePlugin.py:692: UserWarning: Possibly corrupt EXIF data. Expecting to read 18481152 bytes but only got 0. Skipping tag 0 "Skipping tag %s" % (size, len(data), tag)) /data/vision/torralba/deepscene/lib/anaconda2/lib/python2.7/site-packages/PIL/TiffImagePlugin.py:692: UserWarning: Possibly corrupt EXIF data. Expecting to read 37093376 bytes but only got 0. Skipping tag 0 "Skipping tag %s" % (size, len(data), tag)) /data/vision/torralba/deepscene/lib/anaconda2/lib/python2.7/site-packages/PIL/TiffImagePlugin.py:692: UserWarning: Possibly corrupt EXIF data. Expecting to read 39976960 bytes but only got 0. Skipping tag 0 "Skipping tag %s" % (size, len(data), tag)) /data/vision/torralba/deepscene/lib/anaconda2/lib/python2.7/site-packages/PIL/TiffImagePlugin.py:692: UserWarning: Possibly corrupt EXIF data. Expecting to read 34865152 bytes but only got 0. Skipping tag 0 "Skipping tag %s" % (size, len(data), tag)) /data/vision/torralba/deepscene/lib/anaconda2/lib/python2.7/site-packages/PIL/TiffImagePlugin.py:709: UserWarning: Corrupt EXIF data. Expecting to read 12 bytes but only got 10. warnings.warn(str(msg)) Epoch: [43][670/10010] Time 0.322 (0.327) Data 0.001 (0.004) Loss 1.8111 (1.7719) Prec@1 64.062 (59.741) Prec@5 78.906 (81.348) Epoch: [43][680/10010] Time 0.333 (0.327) Data 0.000 (0.004) Loss 1.5619 (1.7712) Prec@1 61.719 (59.756) Prec@5 82.031 (81.367) Epoch: [43][690/10010] Time 0.335 (0.327) Data 0.001 (0.004) Loss 1.3958 (1.7697) Prec@1 62.500 (59.777) Prec@5 85.156 (81.381) Epoch: [43][700/10010] Time 0.339 (0.327) Data 0.000 (0.004) Loss 2.0164 (1.7703) Prec@1 57.031 (59.770) Prec@5 76.562 (81.389) Epoch: [43][710/10010] Time 0.333 (0.327) Data 0.001 (0.004) Loss 1.7083 (1.7705) Prec@1 57.812 (59.778) Prec@5 84.375 (81.391) Epoch: [43][720/10010] Time 0.336 (0.327) Data 0.001 (0.004) Loss 1.8649 (1.7697) Prec@1 57.812 (59.782) Prec@5 78.125 (81.395) Epoch: [43][730/10010] Time 0.333 (0.327) Data 0.001 (0.004) Loss 1.5812 (1.7681) Prec@1 66.406 (59.830) Prec@5 85.938 (81.415) Epoch: [43][740/10010] Time 0.321 (0.327) Data 0.000 (0.003) Loss 2.0455 (1.7677) Prec@1 50.781 (59.828) Prec@5 77.344 (81.422) Epoch: [43][750/10010] Time 0.317 (0.327) Data 0.000 (0.003) Loss 1.6323 (1.7682) Prec@1 63.281 (59.823) Prec@5 86.719 (81.425) Epoch: [43][760/10010] Time 0.316 (0.326) Data 0.001 (0.003) Loss 1.5772 (1.7688) Prec@1 62.500 (59.815) Prec@5 82.031 (81.415) Epoch: [43][770/10010] Time 0.340 (0.326) Data 0.000 (0.003) Loss 1.8827 (1.7694) Prec@1 55.469 (59.815) Prec@5 78.906 (81.397) Epoch: [43][780/10010] Time 0.325 (0.327) Data 0.001 (0.003) Loss 1.3313 (1.7674) Prec@1 72.656 (59.853) Prec@5 88.281 (81.432) Epoch: [43][790/10010] Time 0.328 (0.327) Data 0.001 (0.003) Loss 1.8591 (1.7676) Prec@1 60.156 (59.854) Prec@5 77.344 (81.412) Epoch: [43][800/10010] Time 0.333 (0.327) Data 0.001 (0.003) Loss 1.8375 (1.7679) Prec@1 64.844 (59.847) Prec@5 78.125 (81.388) Epoch: [43][810/10010] Time 0.343 (0.327) Data 0.000 (0.003) Loss 1.6346 (1.7685) Prec@1 62.500 (59.836) Prec@5 82.031 (81.368) Epoch: [43][820/10010] Time 0.321 (0.327) Data 0.001 (0.003) Loss 2.1126 (1.7686) Prec@1 57.812 (59.851) Prec@5 77.344 (81.361) Epoch: [43][830/10010] Time 0.323 (0.327) Data 0.000 (0.003) Loss 1.4077 (1.7681) Prec@1 69.531 (59.843) Prec@5 87.500 (81.370) Epoch: [43][840/10010] Time 0.336 (0.327) Data 0.001 (0.003) Loss 1.7171 (1.7681) Prec@1 60.156 (59.836) Prec@5 83.594 (81.369) Epoch: [43][850/10010] Time 0.341 (0.327) Data 0.000 (0.003) Loss 1.8213 (1.7671) Prec@1 63.281 (59.878) Prec@5 79.688 (81.396) Epoch: [43][860/10010] Time 0.337 (0.327) Data 0.000 (0.003) Loss 1.6506 (1.7669) Prec@1 57.812 (59.870) Prec@5 82.031 (81.406) Epoch: [43][870/10010] Time 0.333 (0.327) Data 0.001 (0.003) Loss 1.9379 (1.7655) Prec@1 55.469 (59.893) Prec@5 76.562 (81.426) Epoch: [43][880/10010] Time 0.325 (0.327) Data 0.001 (0.003) Loss 1.9002 (1.7661) Prec@1 56.250 (59.892) Prec@5 78.906 (81.418) Epoch: [43][890/10010] Time 0.338 (0.327) Data 0.000 (0.003) Loss 1.6554 (1.7654) Prec@1 60.156 (59.907) Prec@5 84.375 (81.429) Epoch: [43][900/10010] Time 0.321 (0.327) Data 0.000 (0.003) Loss 1.4901 (1.7645) Prec@1 64.844 (59.918) Prec@5 85.156 (81.442) Epoch: [43][910/10010] Time 0.319 (0.327) Data 0.000 (0.003) Loss 1.8267 (1.7646) Prec@1 58.594 (59.914) Prec@5 77.344 (81.445) Epoch: [43][920/10010] Time 0.310 (0.327) Data 0.001 (0.003) Loss 1.5745 (1.7643) Prec@1 60.938 (59.914) Prec@5 84.375 (81.448) Epoch: [43][930/10010] Time 0.330 (0.327) Data 0.001 (0.003) Loss 1.7331 (1.7649) Prec@1 60.156 (59.905) Prec@5 77.344 (81.428) Epoch: [43][940/10010] Time 0.321 (0.327) Data 0.000 (0.003) Loss 1.6431 (1.7655) Prec@1 59.375 (59.898) Prec@5 84.375 (81.414) Epoch: [43][950/10010] Time 0.339 (0.327) Data 0.001 (0.003) Loss 1.8596 (1.7657) Prec@1 55.469 (59.884) Prec@5 78.125 (81.410) Epoch: [43][960/10010] Time 0.338 (0.327) Data 0.001 (0.003) Loss 1.6008 (1.7659) Prec@1 65.625 (59.878) Prec@5 81.250 (81.408) Epoch: [43][970/10010] Time 0.337 (0.327) Data 0.000 (0.003) Loss 2.0543 (1.7663) Prec@1 57.031 (59.869) Prec@5 78.906 (81.408) Epoch: [43][980/10010] Time 0.309 (0.327) Data 0.000 (0.003) Loss 1.6779 (1.7662) Prec@1 55.469 (59.870) Prec@5 83.594 (81.404) Epoch: [43][990/10010] Time 0.331 (0.327) Data 0.001 (0.003) Loss 2.0506 (1.7670) Prec@1 51.562 (59.855) Prec@5 80.469 (81.401) Epoch: [43][1000/10010] Time 0.338 (0.327) Data 0.001 (0.003) Loss 1.4682 (1.7655) Prec@1 66.406 (59.878) Prec@5 84.375 (81.417) Epoch: [43][1010/10010] Time 0.321 (0.327) Data 0.001 (0.003) Loss 1.9484 (1.7654) Prec@1 54.688 (59.861) Prec@5 82.031 (81.422) Epoch: [43][1020/10010] Time 0.323 (0.327) Data 0.000 (0.003) Loss 1.8567 (1.7654) Prec@1 60.156 (59.867) Prec@5 77.344 (81.419) Epoch: [43][1030/10010] Time 0.340 (0.327) Data 0.000 (0.003) Loss 1.7018 (1.7656) Prec@1 57.812 (59.854) Prec@5 81.250 (81.426) Epoch: [43][1040/10010] Time 0.315 (0.327) Data 0.001 (0.003) Loss 1.8057 (1.7654) Prec@1 58.594 (59.855) Prec@5 79.688 (81.423) Epoch: [43][1050/10010] Time 0.331 (0.327) Data 0.000 (0.003) Loss 1.9896 (1.7650) Prec@1 58.594 (59.857) Prec@5 76.562 (81.429) Epoch: [43][1060/10010] Time 0.320 (0.327) Data 0.000 (0.003) Loss 1.7691 (1.7657) Prec@1 60.156 (59.847) Prec@5 81.250 (81.420) Epoch: [43][1070/10010] Time 0.338 (0.327) Data 0.001 (0.003) Loss 1.7654 (1.7664) Prec@1 61.719 (59.830) Prec@5 84.375 (81.405) Epoch: [43][1080/10010] Time 0.324 (0.327) Data 0.001 (0.003) Loss 1.8747 (1.7667) Prec@1 57.031 (59.819) Prec@5 78.125 (81.396) Epoch: [43][1090/10010] Time 0.322 (0.327) Data 0.001 (0.003) Loss 1.8091 (1.7670) Prec@1 55.469 (59.816) Prec@5 78.125 (81.393) Epoch: [43][1100/10010] Time 0.316 (0.327) Data 0.001 (0.003) Loss 1.9836 (1.7674) Prec@1 59.375 (59.816) Prec@5 78.125 (81.378) Epoch: [43][1110/10010] Time 0.319 (0.327) Data 0.001 (0.003) Loss 1.4803 (1.7676) Prec@1 64.062 (59.808) Prec@5 85.156 (81.374) Epoch: [43][1120/10010] Time 0.322 (0.327) Data 0.001 (0.003) Loss 2.0088 (1.7683) Prec@1 55.469 (59.800) Prec@5 79.688 (81.362) Epoch: [43][1130/10010] Time 0.338 (0.327) Data 0.001 (0.003) Loss 1.6594 (1.7678) Prec@1 60.938 (59.809) Prec@5 81.250 (81.367) Epoch: [43][1140/10010] Time 0.337 (0.327) Data 0.001 (0.002) Loss 1.5474 (1.7676) Prec@1 61.719 (59.802) Prec@5 86.719 (81.360) Epoch: [43][1150/10010] Time 0.327 (0.327) Data 0.001 (0.002) Loss 1.6908 (1.7671) Prec@1 60.156 (59.805) Prec@5 81.250 (81.371) Epoch: [43][1160/10010] Time 0.319 (0.327) Data 0.001 (0.002) Loss 1.5711 (1.7671) Prec@1 73.438 (59.823) Prec@5 84.375 (81.370) Epoch: [43][1170/10010] Time 0.310 (0.327) Data 0.001 (0.002) Loss 1.9019 (1.7672) Prec@1 57.812 (59.814) Prec@5 79.688 (81.359) Epoch: [43][1180/10010] Time 0.317 (0.327) Data 0.001 (0.002) Loss 2.0920 (1.7679) Prec@1 57.031 (59.806) Prec@5 77.344 (81.339) Epoch: [43][1190/10010] Time 0.325 (0.327) Data 0.001 (0.002) Loss 1.7664 (1.7677) Prec@1 64.062 (59.819) Prec@5 78.906 (81.341) Epoch: [43][1200/10010] Time 0.320 (0.327) Data 0.001 (0.002) Loss 1.5254 (1.7676) Prec@1 57.812 (59.808) Prec@5 89.062 (81.338) Epoch: [43][1210/10010] Time 0.322 (0.327) Data 0.001 (0.002) Loss 1.4821 (1.7670) Prec@1 68.750 (59.812) Prec@5 84.375 (81.343) Epoch: [43][1220/10010] Time 0.322 (0.327) Data 0.001 (0.002) Loss 1.9200 (1.7668) Prec@1 56.250 (59.807) Prec@5 77.344 (81.348) Epoch: [43][1230/10010] Time 0.337 (0.327) Data 0.000 (0.002) Loss 2.2712 (1.7667) Prec@1 47.656 (59.803) Prec@5 78.125 (81.352) Epoch: [43][1240/10010] Time 0.333 (0.327) Data 0.001 (0.002) Loss 1.6355 (1.7664) Prec@1 58.594 (59.807) Prec@5 86.719 (81.362) Epoch: [43][1250/10010] Time 0.323 (0.327) Data 0.000 (0.002) Loss 2.0488 (1.7669) Prec@1 51.562 (59.788) Prec@5 78.906 (81.356) Epoch: [43][1260/10010] Time 0.319 (0.327) Data 0.001 (0.002) Loss 2.0117 (1.7676) Prec@1 57.812 (59.778) Prec@5 81.250 (81.342) Epoch: [43][1270/10010] Time 0.314 (0.327) Data 0.000 (0.002) Loss 1.6296 (1.7675) Prec@1 61.719 (59.779) Prec@5 82.031 (81.349) Epoch: [43][1280/10010] Time 0.326 (0.327) Data 0.000 (0.002) Loss 1.6618 (1.7679) Prec@1 66.406 (59.776) Prec@5 81.250 (81.338) Epoch: [43][1290/10010] Time 0.315 (0.327) Data 0.001 (0.002) Loss 1.9893 (1.7674) Prec@1 56.250 (59.788) Prec@5 78.906 (81.349) Epoch: [43][1300/10010] Time 0.321 (0.327) Data 0.001 (0.002) Loss 1.9449 (1.7678) Prec@1 55.469 (59.783) Prec@5 80.469 (81.341) Epoch: [43][1310/10010] Time 0.324 (0.327) Data 0.000 (0.002) Loss 1.6485 (1.7678) Prec@1 64.844 (59.795) Prec@5 84.375 (81.337) Epoch: [43][1320/10010] Time 0.314 (0.327) Data 0.001 (0.002) Loss 1.7803 (1.7678) Prec@1 62.500 (59.791) Prec@5 76.562 (81.338) Epoch: [43][1330/10010] Time 0.338 (0.327) Data 0.001 (0.002) Loss 1.5419 (1.7674) Prec@1 60.938 (59.801) Prec@5 84.375 (81.341) Epoch: [43][1340/10010] Time 0.319 (0.327) Data 0.000 (0.002) Loss 1.6063 (1.7673) Prec@1 64.844 (59.799) Prec@5 84.375 (81.345) Epoch: [43][1350/10010] Time 0.337 (0.327) Data 0.000 (0.002) Loss 1.4640 (1.7675) Prec@1 64.844 (59.784) Prec@5 85.938 (81.335) Epoch: [43][1360/10010] Time 0.326 (0.327) Data 0.000 (0.002) Loss 2.0126 (1.7675) Prec@1 55.469 (59.791) Prec@5 78.906 (81.329) Epoch: [43][1370/10010] Time 0.318 (0.327) Data 0.001 (0.002) Loss 2.0170 (1.7675) Prec@1 56.250 (59.791) Prec@5 77.344 (81.333) Epoch: [43][1380/10010] Time 0.336 (0.327) Data 0.001 (0.002) Loss 1.6686 (1.7673) Prec@1 60.938 (59.787) Prec@5 82.031 (81.339) Epoch: [43][1390/10010] Time 0.331 (0.327) Data 0.001 (0.002) Loss 1.6438 (1.7673) Prec@1 63.281 (59.781) Prec@5 83.594 (81.341) Epoch: [43][1400/10010] Time 0.329 (0.327) Data 0.001 (0.002) Loss 1.8107 (1.7679) Prec@1 56.250 (59.765) Prec@5 80.469 (81.331) Epoch: [43][1410/10010] Time 0.339 (0.327) Data 0.000 (0.002) Loss 2.0271 (1.7684) Prec@1 50.781 (59.754) Prec@5 79.688 (81.330) Epoch: [43][1420/10010] Time 0.313 (0.327) Data 0.001 (0.002) Loss 1.9460 (1.7689) Prec@1 58.594 (59.742) Prec@5 80.469 (81.328) Epoch: [43][1430/10010] Time 0.316 (0.326) Data 0.000 (0.002) Loss 2.0285 (1.7683) Prec@1 53.906 (59.757) Prec@5 73.438 (81.332) Epoch: [43][1440/10010] Time 0.317 (0.326) Data 0.000 (0.002) Loss 2.0307 (1.7686) Prec@1 52.344 (59.754) Prec@5 74.219 (81.320) Epoch: [43][1450/10010] Time 0.335 (0.326) Data 0.000 (0.002) Loss 1.7405 (1.7689) Prec@1 57.031 (59.744) Prec@5 82.031 (81.320) Epoch: [43][1460/10010] Time 0.322 (0.326) Data 0.001 (0.002) Loss 1.8048 (1.7686) Prec@1 61.719 (59.751) Prec@5 81.250 (81.329) Epoch: [43][1470/10010] Time 0.327 (0.326) Data 0.000 (0.002) Loss 1.7362 (1.7691) Prec@1 63.281 (59.747) Prec@5 82.031 (81.322) Epoch: [43][1480/10010] Time 0.340 (0.326) Data 0.000 (0.002) Loss 1.8523 (1.7697) Prec@1 50.781 (59.726) Prec@5 81.250 (81.315) Epoch: [43][1490/10010] Time 0.313 (0.327) Data 0.000 (0.002) Loss 1.5754 (1.7699) Prec@1 64.062 (59.710) Prec@5 85.156 (81.314) Epoch: [43][1500/10010] Time 0.344 (0.327) Data 0.000 (0.002) Loss 1.5713 (1.7701) Prec@1 57.031 (59.705) Prec@5 83.594 (81.311) Epoch: [43][1510/10010] Time 0.323 (0.327) Data 0.000 (0.002) Loss 1.9631 (1.7704) Prec@1 55.469 (59.703) Prec@5 78.125 (81.303) Epoch: [43][1520/10010] Time 0.317 (0.326) Data 0.001 (0.002) Loss 1.3551 (1.7702) Prec@1 72.656 (59.712) Prec@5 86.719 (81.298) Epoch: [43][1530/10010] Time 0.318 (0.326) Data 0.001 (0.002) Loss 1.8393 (1.7703) Prec@1 58.594 (59.714) Prec@5 81.250 (81.301) Epoch: [43][1540/10010] Time 0.325 (0.326) Data 0.001 (0.002) Loss 1.9325 (1.7707) Prec@1 51.562 (59.696) Prec@5 78.125 (81.294) Epoch: [43][1550/10010] Time 0.322 (0.326) Data 0.000 (0.002) Loss 1.9523 (1.7711) Prec@1 57.031 (59.690) Prec@5 80.469 (81.296) Epoch: [43][1560/10010] Time 0.318 (0.326) Data 0.001 (0.002) Loss 1.5130 (1.7709) Prec@1 63.281 (59.700) Prec@5 88.281 (81.301) Epoch: [43][1570/10010] Time 0.313 (0.326) Data 0.000 (0.002) Loss 1.7342 (1.7710) Prec@1 63.281 (59.703) Prec@5 82.812 (81.300) Epoch: [43][1580/10010] Time 0.318 (0.326) Data 0.000 (0.002) Loss 1.6026 (1.7717) Prec@1 60.938 (59.687) Prec@5 86.719 (81.293) Epoch: [43][1590/10010] Time 0.321 (0.326) Data 0.001 (0.002) Loss 1.8601 (1.7715) Prec@1 62.500 (59.690) Prec@5 82.812 (81.298) Epoch: [43][1600/10010] Time 0.335 (0.326) Data 0.001 (0.002) Loss 2.0089 (1.7715) Prec@1 52.344 (59.690) Prec@5 75.000 (81.296) Epoch: [43][1610/10010] Time 0.321 (0.326) Data 0.001 (0.002) Loss 2.0697 (1.7716) Prec@1 57.031 (59.681) Prec@5 77.344 (81.293) Epoch: [43][1620/10010] Time 0.321 (0.326) Data 0.000 (0.002) Loss 2.0101 (1.7715) Prec@1 53.906 (59.682) Prec@5 75.000 (81.298) Epoch: [43][1630/10010] Time 0.319 (0.326) Data 0.000 (0.002) Loss 2.1089 (1.7712) Prec@1 56.250 (59.692) Prec@5 75.000 (81.301) Epoch: [43][1640/10010] Time 0.334 (0.326) Data 0.001 (0.002) Loss 1.5653 (1.7715) Prec@1 60.938 (59.684) Prec@5 85.156 (81.294) Epoch: [43][1650/10010] Time 0.317 (0.326) Data 0.001 (0.002) Loss 1.6775 (1.7714) Prec@1 61.719 (59.686) Prec@5 81.250 (81.298) Epoch: [43][1660/10010] Time 0.326 (0.326) Data 0.001 (0.002) Loss 1.7229 (1.7715) Prec@1 58.594 (59.678) Prec@5 85.938 (81.300) Epoch: [43][1670/10010] Time 0.313 (0.326) Data 0.001 (0.002) Loss 2.0669 (1.7711) Prec@1 48.438 (59.678) Prec@5 81.250 (81.304) Epoch: [43][1680/10010] Time 0.317 (0.326) Data 0.001 (0.002) Loss 1.5119 (1.7708) Prec@1 65.625 (59.685) Prec@5 84.375 (81.304) Epoch: [43][1690/10010] Time 0.332 (0.326) Data 0.001 (0.002) Loss 1.8339 (1.7706) Prec@1 58.594 (59.694) Prec@5 78.906 (81.307) Epoch: [43][1700/10010] Time 0.312 (0.326) Data 0.001 (0.002) Loss 1.9945 (1.7712) Prec@1 60.156 (59.682) Prec@5 78.906 (81.300) Epoch: [43][1710/10010] Time 0.331 (0.326) Data 0.001 (0.002) Loss 1.5004 (1.7709) Prec@1 63.281 (59.679) Prec@5 82.031 (81.305) Epoch: [43][1720/10010] Time 0.319 (0.326) Data 0.001 (0.002) Loss 1.9693 (1.7705) Prec@1 53.906 (59.678) Prec@5 79.688 (81.315) Epoch: [43][1730/10010] Time 0.323 (0.326) Data 0.000 (0.002) Loss 1.8734 (1.7708) Prec@1 52.344 (59.671) Prec@5 80.469 (81.312) Epoch: [43][1740/10010] Time 0.317 (0.326) Data 0.001 (0.002) Loss 2.0482 (1.7712) Prec@1 53.906 (59.663) Prec@5 77.344 (81.303) Epoch: [43][1750/10010] Time 0.320 (0.326) Data 0.000 (0.002) Loss 1.6158 (1.7714) Prec@1 67.969 (59.673) Prec@5 83.594 (81.303) Epoch: [43][1760/10010] Time 0.325 (0.326) Data 0.001 (0.002) Loss 1.7453 (1.7713) Prec@1 62.500 (59.674) Prec@5 81.250 (81.299) Epoch: [43][1770/10010] Time 0.322 (0.326) Data 0.001 (0.002) Loss 1.8138 (1.7712) Prec@1 59.375 (59.679) Prec@5 81.250 (81.300) Epoch: [43][1780/10010] Time 0.333 (0.326) Data 0.000 (0.002) Loss 1.7818 (1.7712) Prec@1 60.156 (59.687) Prec@5 82.031 (81.301) Epoch: [43][1790/10010] Time 0.331 (0.326) Data 0.001 (0.002) Loss 1.7282 (1.7710) Prec@1 63.281 (59.687) Prec@5 80.469 (81.305) Epoch: [43][1800/10010] Time 0.322 (0.326) Data 0.000 (0.002) Loss 1.8887 (1.7706) Prec@1 60.156 (59.695) Prec@5 78.906 (81.303) Epoch: [43][1810/10010] Time 0.334 (0.326) Data 0.000 (0.002) Loss 1.8541 (1.7703) Prec@1 52.344 (59.694) Prec@5 77.344 (81.306) Epoch: [43][1820/10010] Time 0.322 (0.326) Data 0.000 (0.002) Loss 1.7406 (1.7705) Prec@1 60.938 (59.686) Prec@5 81.250 (81.300) Epoch: [43][1830/10010] Time 0.340 (0.326) Data 0.000 (0.002) Loss 1.7403 (1.7704) Prec@1 53.125 (59.675) Prec@5 85.156 (81.299) Epoch: [43][1840/10010] Time 0.327 (0.326) Data 0.000 (0.002) Loss 1.5610 (1.7708) Prec@1 64.062 (59.663) Prec@5 82.812 (81.287) Epoch: [43][1850/10010] Time 0.323 (0.326) Data 0.001 (0.002) Loss 2.0294 (1.7715) Prec@1 50.000 (59.649) Prec@5 76.562 (81.279) Epoch: [43][1860/10010] Time 0.323 (0.326) Data 0.001 (0.002) Loss 1.9077 (1.7717) Prec@1 54.688 (59.648) Prec@5 80.469 (81.273) Epoch: [43][1870/10010] Time 0.331 (0.326) Data 0.001 (0.002) Loss 1.6105 (1.7715) Prec@1 60.938 (59.648) Prec@5 85.156 (81.277) Epoch: [43][1880/10010] Time 0.329 (0.326) Data 0.001 (0.002) Loss 1.8313 (1.7718) Prec@1 60.938 (59.648) Prec@5 79.688 (81.271) Epoch: [43][1890/10010] Time 0.337 (0.326) Data 0.000 (0.002) Loss 1.8995 (1.7720) Prec@1 58.594 (59.657) Prec@5 78.125 (81.270) Epoch: [43][1900/10010] Time 0.318 (0.326) Data 0.000 (0.002) Loss 2.3187 (1.7725) Prec@1 47.656 (59.645) Prec@5 73.438 (81.267) Epoch: [43][1910/10010] Time 0.319 (0.326) Data 0.000 (0.002) Loss 2.0420 (1.7729) Prec@1 55.469 (59.637) Prec@5 75.781 (81.256) Epoch: [43][1920/10010] Time 0.335 (0.326) Data 0.001 (0.002) Loss 1.8737 (1.7724) Prec@1 60.938 (59.651) Prec@5 78.125 (81.267) Epoch: [43][1930/10010] Time 0.338 (0.326) Data 0.001 (0.002) Loss 1.7316 (1.7725) Prec@1 60.938 (59.650) Prec@5 77.344 (81.263) Epoch: [43][1940/10010] Time 0.335 (0.326) Data 0.001 (0.002) Loss 1.7764 (1.7733) Prec@1 55.469 (59.631) Prec@5 81.250 (81.254) Epoch: [43][1950/10010] Time 0.323 (0.326) Data 0.000 (0.002) Loss 1.6496 (1.7728) Prec@1 58.594 (59.641) Prec@5 85.156 (81.268) Epoch: [43][1960/10010] Time 0.314 (0.326) Data 0.001 (0.002) Loss 1.4605 (1.7728) Prec@1 67.188 (59.638) Prec@5 86.719 (81.268) Epoch: [43][1970/10010] Time 0.337 (0.326) Data 0.000 (0.002) Loss 1.8339 (1.7726) Prec@1 58.594 (59.651) Prec@5 79.688 (81.270) Epoch: [43][1980/10010] Time 0.334 (0.326) Data 0.001 (0.002) Loss 1.6442 (1.7727) Prec@1 60.938 (59.647) Prec@5 82.031 (81.275) Epoch: [43][1990/10010] Time 0.310 (0.326) Data 0.001 (0.002) Loss 1.6053 (1.7727) Prec@1 61.719 (59.654) Prec@5 82.812 (81.279) Epoch: [43][2000/10010] Time 0.338 (0.326) Data 0.001 (0.002) Loss 1.6768 (1.7725) Prec@1 58.594 (59.664) Prec@5 89.062 (81.280) Epoch: [43][2010/10010] Time 0.318 (0.326) Data 0.001 (0.002) Loss 1.7509 (1.7725) Prec@1 61.719 (59.668) Prec@5 80.469 (81.283) Epoch: [43][2020/10010] Time 0.334 (0.326) Data 0.001 (0.002) Loss 1.7100 (1.7724) Prec@1 60.156 (59.667) Prec@5 84.375 (81.287) Epoch: [43][2030/10010] Time 0.328 (0.326) Data 0.001 (0.002) Loss 1.8958 (1.7725) Prec@1 57.812 (59.664) Prec@5 79.688 (81.288) Epoch: [43][2040/10010] Time 0.334 (0.326) Data 0.001 (0.002) Loss 1.6021 (1.7724) Prec@1 64.844 (59.668) Prec@5 85.156 (81.292) Epoch: [43][2050/10010] Time 0.326 (0.326) Data 0.001 (0.002) Loss 1.6525 (1.7724) Prec@1 61.719 (59.669) Prec@5 80.469 (81.290) Epoch: [43][2060/10010] Time 0.314 (0.326) Data 0.000 (0.002) Loss 1.8170 (1.7724) Prec@1 58.594 (59.670) Prec@5 78.906 (81.292) Epoch: [43][2070/10010] Time 0.335 (0.326) Data 0.000 (0.002) Loss 1.9562 (1.7723) Prec@1 55.469 (59.670) Prec@5 78.906 (81.296) Epoch: [43][2080/10010] Time 0.320 (0.326) Data 0.001 (0.002) Loss 1.4639 (1.7717) Prec@1 61.719 (59.678) Prec@5 84.375 (81.303) Epoch: [43][2090/10010] Time 0.317 (0.326) Data 0.001 (0.002) Loss 1.5818 (1.7711) Prec@1 62.500 (59.684) Prec@5 82.812 (81.311) Epoch: [43][2100/10010] Time 0.327 (0.326) Data 0.001 (0.002) Loss 1.9521 (1.7712) Prec@1 57.031 (59.680) Prec@5 78.125 (81.308) Epoch: [43][2110/10010] Time 0.322 (0.326) Data 0.001 (0.002) Loss 1.9655 (1.7711) Prec@1 51.562 (59.680) Prec@5 78.906 (81.310) Epoch: [43][2120/10010] Time 0.324 (0.326) Data 0.001 (0.002) Loss 1.6877 (1.7711) Prec@1 62.500 (59.677) Prec@5 82.031 (81.309) Epoch: [43][2130/10010] Time 0.332 (0.326) Data 0.000 (0.002) Loss 1.8210 (1.7710) Prec@1 56.250 (59.680) Prec@5 77.344 (81.307) Epoch: [43][2140/10010] Time 0.338 (0.326) Data 0.001 (0.002) Loss 1.8136 (1.7711) Prec@1 60.938 (59.691) Prec@5 78.125 (81.304) Epoch: [43][2150/10010] Time 0.316 (0.326) Data 0.000 (0.002) Loss 1.5143 (1.7713) Prec@1 62.500 (59.690) Prec@5 85.156 (81.303) Epoch: [43][2160/10010] Time 0.340 (0.326) Data 0.001 (0.002) Loss 1.8239 (1.7716) Prec@1 58.594 (59.687) Prec@5 80.469 (81.297) Epoch: [43][2170/10010] Time 0.338 (0.326) Data 0.001 (0.002) Loss 1.6644 (1.7717) Prec@1 64.844 (59.687) Prec@5 82.031 (81.295) /data/vision/torralba/deepscene/lib/anaconda2/lib/python2.7/site-packages/PIL/TiffImagePlugin.py:692: UserWarning: Possibly corrupt EXIF data. Expecting to read 2555904 bytes but only got 0. Skipping tag 0 "Skipping tag %s" % (size, len(data), tag)) Epoch: [43][2180/10010] Time 0.333 (0.326) Data 0.001 (0.002) Loss 2.2116 (1.7715) Prec@1 52.344 (59.693) Prec@5 72.656 (81.300) Epoch: [43][2190/10010] Time 0.316 (0.326) Data 0.001 (0.002) Loss 2.1096 (1.7717) Prec@1 54.688 (59.693) Prec@5 82.031 (81.300) Epoch: [43][2200/10010] Time 0.329 (0.326) Data 0.000 (0.002) Loss 1.9397 (1.7726) Prec@1 57.031 (59.680) Prec@5 78.906 (81.289) Epoch: [43][2210/10010] Time 0.338 (0.326) Data 0.001 (0.002) Loss 1.6910 (1.7722) Prec@1 55.469 (59.683) Prec@5 85.156 (81.298) Epoch: [43][2220/10010] Time 0.327 (0.326) Data 0.000 (0.002) Loss 1.6750 (1.7721) Prec@1 55.469 (59.682) Prec@5 83.594 (81.302) Epoch: [43][2230/10010] Time 0.317 (0.326) Data 0.000 (0.002) Loss 1.9519 (1.7725) Prec@1 59.375 (59.668) Prec@5 78.125 (81.296) Epoch: [43][2240/10010] Time 0.342 (0.326) Data 0.000 (0.002) Loss 1.9368 (1.7727) Prec@1 57.031 (59.664) Prec@5 82.031 (81.291) Epoch: [43][2250/10010] Time 0.337 (0.326) Data 0.001 (0.002) Loss 1.6096 (1.7726) Prec@1 61.719 (59.671) Prec@5 88.281 (81.292) Epoch: [43][2260/10010] Time 0.315 (0.326) Data 0.001 (0.002) Loss 1.6613 (1.7731) Prec@1 67.188 (59.662) Prec@5 82.812 (81.283) Epoch: [43][2270/10010] Time 0.329 (0.326) Data 0.000 (0.002) Loss 1.9063 (1.7731) Prec@1 60.938 (59.667) Prec@5 79.688 (81.286) Epoch: [43][2280/10010] Time 0.328 (0.326) Data 0.001 (0.002) Loss 1.9588 (1.7734) Prec@1 59.375 (59.667) Prec@5 80.469 (81.287) Epoch: [43][2290/10010] Time 0.336 (0.326) Data 0.001 (0.002) Loss 2.0269 (1.7736) Prec@1 58.594 (59.663) Prec@5 78.125 (81.281) Epoch: [43][2300/10010] Time 0.337 (0.326) Data 0.001 (0.002) Loss 1.6246 (1.7739) Prec@1 65.625 (59.657) Prec@5 84.375 (81.277) Epoch: [43][2310/10010] Time 0.341 (0.326) Data 0.000 (0.002) Loss 1.9331 (1.7736) Prec@1 57.031 (59.663) Prec@5 75.000 (81.282) Epoch: [43][2320/10010] Time 0.334 (0.327) Data 0.000 (0.002) Loss 1.8875 (1.7742) Prec@1 53.125 (59.648) Prec@5 79.688 (81.272) Epoch: [43][2330/10010] Time 0.340 (0.327) Data 0.001 (0.002) Loss 2.0395 (1.7745) Prec@1 55.469 (59.641) Prec@5 75.781 (81.267) Epoch: [43][2340/10010] Time 0.311 (0.326) Data 0.001 (0.002) Loss 1.8344 (1.7745) Prec@1 58.594 (59.637) Prec@5 81.250 (81.272) Epoch: [43][2350/10010] Time 0.333 (0.326) Data 0.001 (0.002) Loss 1.9058 (1.7749) Prec@1 56.250 (59.631) Prec@5 79.688 (81.265) Epoch: [43][2360/10010] Time 0.318 (0.327) Data 0.001 (0.002) Loss 1.5795 (1.7751) Prec@1 64.062 (59.627) Prec@5 84.375 (81.260) Epoch: [43][2370/10010] Time 0.339 (0.327) Data 0.000 (0.002) Loss 1.8728 (1.7751) Prec@1 59.375 (59.624) Prec@5 76.562 (81.256) Epoch: [43][2380/10010] Time 0.333 (0.327) Data 0.000 (0.002) Loss 1.6126 (1.7750) Prec@1 61.719 (59.628) Prec@5 85.156 (81.258) Epoch: [43][2390/10010] Time 0.325 (0.327) Data 0.001 (0.002) Loss 1.5623 (1.7749) Prec@1 60.938 (59.627) Prec@5 87.500 (81.261) Epoch: [43][2400/10010] Time 0.336 (0.327) Data 0.001 (0.002) Loss 1.9453 (1.7749) Prec@1 63.281 (59.620) Prec@5 79.688 (81.262) Epoch: [43][2410/10010] Time 0.339 (0.326) Data 0.000 (0.002) Loss 2.1106 (1.7746) Prec@1 55.469 (59.634) Prec@5 73.438 (81.267) Epoch: [43][2420/10010] Time 0.334 (0.326) Data 0.000 (0.002) Loss 1.8170 (1.7742) Prec@1 60.156 (59.642) Prec@5 78.906 (81.273) Epoch: [43][2430/10010] Time 0.331 (0.326) Data 0.001 (0.002) Loss 1.9329 (1.7746) Prec@1 53.125 (59.636) Prec@5 76.562 (81.265) Epoch: [43][2440/10010] Time 0.319 (0.326) Data 0.001 (0.001) Loss 1.6217 (1.7745) Prec@1 63.281 (59.639) Prec@5 82.812 (81.269) Epoch: [43][2450/10010] Time 0.326 (0.326) Data 0.001 (0.001) Loss 1.9501 (1.7743) Prec@1 62.500 (59.641) Prec@5 78.906 (81.271) Epoch: [43][2460/10010] Time 0.336 (0.327) Data 0.001 (0.001) Loss 1.7565 (1.7747) Prec@1 60.938 (59.637) Prec@5 79.688 (81.268) Epoch: [43][2470/10010] Time 0.319 (0.327) Data 0.001 (0.001) Loss 1.9265 (1.7751) Prec@1 62.500 (59.628) Prec@5 76.562 (81.260) Epoch: [43][2480/10010] Time 0.329 (0.326) Data 0.001 (0.001) Loss 1.5703 (1.7749) Prec@1 60.156 (59.623) Prec@5 82.812 (81.262) Epoch: [43][2490/10010] Time 0.317 (0.326) Data 0.001 (0.001) Loss 1.8285 (1.7750) Prec@1 57.031 (59.623) Prec@5 82.812 (81.261) Epoch: [43][2500/10010] Time 0.319 (0.326) Data 0.000 (0.001) Loss 1.9325 (1.7751) Prec@1 53.125 (59.617) Prec@5 77.344 (81.264) Epoch: [43][2510/10010] Time 0.336 (0.327) Data 0.001 (0.001) Loss 1.9461 (1.7753) Prec@1 51.562 (59.613) Prec@5 81.250 (81.263) Epoch: [43][2520/10010] Time 0.314 (0.327) Data 0.001 (0.001) Loss 2.2321 (1.7757) Prec@1 50.781 (59.602) Prec@5 73.438 (81.255) Epoch: [43][2530/10010] Time 0.336 (0.327) Data 0.001 (0.001) Loss 1.7085 (1.7761) Prec@1 57.812 (59.594) Prec@5 85.938 (81.250) Epoch: [43][2540/10010] Time 0.311 (0.327) Data 0.001 (0.001) Loss 1.9392 (1.7761) Prec@1 58.594 (59.596) Prec@5 77.344 (81.248) Epoch: [43][2550/10010] Time 0.336 (0.327) Data 0.001 (0.001) Loss 1.5390 (1.7762) Prec@1 61.719 (59.594) Prec@5 82.031 (81.242) Epoch: [43][2560/10010] Time 0.317 (0.327) Data 0.001 (0.001) Loss 1.9202 (1.7763) Prec@1 56.250 (59.597) Prec@5 76.562 (81.242) Epoch: [43][2570/10010] Time 0.339 (0.327) Data 0.000 (0.001) Loss 1.8445 (1.7763) Prec@1 58.594 (59.605) Prec@5 80.469 (81.243) Epoch: [43][2580/10010] Time 0.325 (0.327) Data 0.000 (0.001) Loss 1.8485 (1.7762) Prec@1 57.031 (59.607) Prec@5 79.688 (81.240) Epoch: [43][2590/10010] Time 0.309 (0.326) Data 0.001 (0.001) Loss 1.9606 (1.7761) Prec@1 51.562 (59.603) Prec@5 82.031 (81.245) Epoch: [43][2600/10010] Time 0.332 (0.326) Data 0.001 (0.001) Loss 1.7861 (1.7759) Prec@1 55.469 (59.602) Prec@5 81.250 (81.250) Epoch: [43][2610/10010] Time 0.318 (0.327) Data 0.001 (0.001) Loss 1.8039 (1.7760) Prec@1 54.688 (59.595) Prec@5 79.688 (81.250) Epoch: [43][2620/10010] Time 0.310 (0.326) Data 0.001 (0.001) Loss 2.0408 (1.7763) Prec@1 52.344 (59.591) Prec@5 75.781 (81.247) Epoch: [43][2630/10010] Time 0.336 (0.326) Data 0.001 (0.001) Loss 1.6244 (1.7763) Prec@1 60.938 (59.583) Prec@5 82.812 (81.249) Epoch: [43][2640/10010] Time 0.333 (0.326) Data 0.001 (0.001) Loss 1.9017 (1.7764) Prec@1 60.156 (59.585) Prec@5 78.125 (81.242) Epoch: [43][2650/10010] Time 0.339 (0.326) Data 0.001 (0.001) Loss 2.0261 (1.7769) Prec@1 50.781 (59.571) Prec@5 82.812 (81.234) Epoch: [43][2660/10010] Time 0.337 (0.326) Data 0.000 (0.001) Loss 1.6705 (1.7773) Prec@1 60.938 (59.561) Prec@5 80.469 (81.227) Epoch: [43][2670/10010] Time 0.329 (0.327) Data 0.001 (0.001) Loss 1.6557 (1.7773) Prec@1 64.844 (59.560) Prec@5 83.594 (81.227) Epoch: [43][2680/10010] Time 0.321 (0.326) Data 0.001 (0.001) Loss 1.7662 (1.7770) Prec@1 60.156 (59.561) Prec@5 78.906 (81.233) Epoch: [43][2690/10010] Time 0.322 (0.326) Data 0.000 (0.001) Loss 1.8481 (1.7768) Prec@1 58.594 (59.573) Prec@5 81.250 (81.235) Epoch: [43][2700/10010] Time 0.317 (0.326) Data 0.001 (0.001) Loss 1.9408 (1.7773) Prec@1 58.594 (59.567) Prec@5 78.125 (81.227) Epoch: [43][2710/10010] Time 0.332 (0.326) Data 0.001 (0.001) Loss 1.7967 (1.7774) Prec@1 51.562 (59.560) Prec@5 82.812 (81.228) Epoch: [43][2720/10010] Time 0.335 (0.326) Data 0.001 (0.001) Loss 1.8907 (1.7779) Prec@1 58.594 (59.560) Prec@5 78.125 (81.222) Epoch: [43][2730/10010] Time 0.337 (0.326) Data 0.001 (0.001) Loss 1.7171 (1.7782) Prec@1 66.406 (59.557) Prec@5 84.375 (81.220) Epoch: [43][2740/10010] Time 0.336 (0.326) Data 0.001 (0.001) Loss 1.6390 (1.7783) Prec@1 63.281 (59.558) Prec@5 81.250 (81.217) Epoch: [43][2750/10010] Time 0.315 (0.326) Data 0.000 (0.001) Loss 1.8072 (1.7783) Prec@1 57.812 (59.556) Prec@5 79.688 (81.214) Epoch: [43][2760/10010] Time 0.325 (0.326) Data 0.000 (0.001) Loss 2.1502 (1.7783) Prec@1 53.906 (59.558) Prec@5 77.344 (81.215) Epoch: [43][2770/10010] Time 0.322 (0.326) Data 0.000 (0.001) Loss 1.6211 (1.7779) Prec@1 66.406 (59.566) Prec@5 81.250 (81.222) Epoch: [43][2780/10010] Time 0.333 (0.326) Data 0.001 (0.001) Loss 1.9884 (1.7780) Prec@1 50.781 (59.564) Prec@5 80.469 (81.224) Epoch: [43][2790/10010] Time 0.339 (0.326) Data 0.000 (0.001) Loss 1.5337 (1.7777) Prec@1 60.938 (59.572) Prec@5 87.500 (81.229) Epoch: [43][2800/10010] Time 0.313 (0.326) Data 0.001 (0.001) Loss 1.7140 (1.7778) Prec@1 62.500 (59.571) Prec@5 82.031 (81.230) Epoch: [43][2810/10010] Time 0.331 (0.327) Data 0.001 (0.001) Loss 1.5389 (1.7779) Prec@1 66.406 (59.573) Prec@5 86.719 (81.224) Epoch: [43][2820/10010] Time 0.327 (0.327) Data 0.000 (0.001) Loss 1.5292 (1.7780) Prec@1 65.625 (59.575) Prec@5 84.375 (81.221) Epoch: [43][2830/10010] Time 0.324 (0.327) Data 0.001 (0.001) Loss 1.8224 (1.7781) Prec@1 56.250 (59.575) Prec@5 81.250 (81.215) Epoch: [43][2840/10010] Time 0.329 (0.326) Data 0.000 (0.001) Loss 1.5098 (1.7781) Prec@1 60.938 (59.580) Prec@5 87.500 (81.214) Epoch: [43][2850/10010] Time 0.339 (0.326) Data 0.000 (0.001) Loss 1.7757 (1.7780) Prec@1 55.469 (59.580) Prec@5 81.250 (81.213) Epoch: [43][2860/10010] Time 0.338 (0.326) Data 0.001 (0.001) Loss 1.7858 (1.7783) Prec@1 54.688 (59.574) Prec@5 80.469 (81.204) Epoch: [43][2870/10010] Time 0.325 (0.326) Data 0.001 (0.001) Loss 1.5797 (1.7784) Prec@1 64.062 (59.574) Prec@5 79.688 (81.200) Epoch: [43][2880/10010] Time 0.321 (0.326) Data 0.001 (0.001) Loss 1.9188 (1.7783) Prec@1 55.469 (59.574) Prec@5 74.219 (81.199) Epoch: [43][2890/10010] Time 0.320 (0.326) Data 0.000 (0.001) Loss 1.7566 (1.7783) Prec@1 58.594 (59.579) Prec@5 80.469 (81.200) Epoch: [43][2900/10010] Time 0.342 (0.326) Data 0.001 (0.001) Loss 1.8658 (1.7786) Prec@1 55.469 (59.574) Prec@5 81.250 (81.199) Epoch: [43][2910/10010] Time 0.320 (0.326) Data 0.001 (0.001) Loss 1.4372 (1.7789) Prec@1 60.938 (59.569) Prec@5 87.500 (81.193) Epoch: [43][2920/10010] Time 0.319 (0.326) Data 0.001 (0.001) Loss 1.8512 (1.7787) Prec@1 61.719 (59.570) Prec@5 78.906 (81.200) Epoch: [43][2930/10010] Time 0.310 (0.326) Data 0.001 (0.001) Loss 1.8681 (1.7790) Prec@1 53.125 (59.566) Prec@5 78.906 (81.193) Epoch: [43][2940/10010] Time 0.332 (0.326) Data 0.000 (0.001) Loss 1.6187 (1.7790) Prec@1 64.062 (59.563) Prec@5 84.375 (81.192) Epoch: [43][2950/10010] Time 0.335 (0.326) Data 0.001 (0.001) Loss 1.9071 (1.7792) Prec@1 51.562 (59.560) Prec@5 77.344 (81.190) Epoch: [43][2960/10010] Time 0.334 (0.326) Data 0.001 (0.001) Loss 2.0417 (1.7794) Prec@1 60.938 (59.557) Prec@5 76.562 (81.187) Epoch: [43][2970/10010] Time 0.337 (0.326) Data 0.001 (0.001) Loss 1.7438 (1.7794) Prec@1 64.844 (59.561) Prec@5 78.906 (81.189) Epoch: [43][2980/10010] Time 0.314 (0.326) Data 0.001 (0.001) Loss 1.6882 (1.7793) Prec@1 64.062 (59.556) Prec@5 82.812 (81.191) Epoch: [43][2990/10010] Time 0.316 (0.326) Data 0.001 (0.001) Loss 1.9290 (1.7793) Prec@1 57.812 (59.556) Prec@5 78.906 (81.188) Epoch: [43][3000/10010] Time 0.320 (0.326) Data 0.001 (0.001) Loss 1.7848 (1.7797) Prec@1 57.031 (59.548) Prec@5 83.594 (81.186) Epoch: [43][3010/10010] Time 0.333 (0.326) Data 0.001 (0.001) Loss 1.6946 (1.7798) Prec@1 66.406 (59.543) Prec@5 82.812 (81.185) Epoch: [43][3020/10010] Time 0.319 (0.326) Data 0.001 (0.001) Loss 1.8236 (1.7802) Prec@1 57.031 (59.533) Prec@5 82.812 (81.178) Epoch: [43][3030/10010] Time 0.317 (0.326) Data 0.001 (0.001) Loss 1.9031 (1.7804) Prec@1 58.594 (59.531) Prec@5 78.125 (81.176) Epoch: [43][3040/10010] Time 0.337 (0.326) Data 0.001 (0.001) Loss 1.8976 (1.7805) Prec@1 60.938 (59.533) Prec@5 78.906 (81.170) Epoch: [43][3050/10010] Time 0.318 (0.326) Data 0.001 (0.001) Loss 1.9402 (1.7804) Prec@1 53.906 (59.538) Prec@5 75.781 (81.170) Epoch: [43][3060/10010] Time 0.318 (0.326) Data 0.001 (0.001) Loss 1.7364 (1.7803) Prec@1 60.938 (59.538) Prec@5 82.812 (81.172) Epoch: [43][3070/10010] Time 0.327 (0.326) Data 0.001 (0.001) Loss 1.9073 (1.7805) Prec@1 57.812 (59.527) Prec@5 77.344 (81.169) Epoch: [43][3080/10010] Time 0.335 (0.326) Data 0.001 (0.001) Loss 1.7759 (1.7805) Prec@1 63.281 (59.534) Prec@5 84.375 (81.169) Epoch: [43][3090/10010] Time 0.324 (0.326) Data 0.001 (0.001) Loss 1.5444 (1.7806) Prec@1 65.625 (59.534) Prec@5 85.156 (81.168) Epoch: [43][3100/10010] Time 0.329 (0.326) Data 0.001 (0.001) Loss 1.4020 (1.7803) Prec@1 64.062 (59.540) Prec@5 85.938 (81.172) Epoch: [43][3110/10010] Time 0.310 (0.326) Data 0.001 (0.001) Loss 1.7971 (1.7804) Prec@1 59.375 (59.538) Prec@5 80.469 (81.171) Epoch: [43][3120/10010] Time 0.327 (0.326) Data 0.000 (0.001) Loss 1.8368 (1.7806) Prec@1 60.938 (59.535) Prec@5 79.688 (81.163) Epoch: [43][3130/10010] Time 0.328 (0.326) Data 0.001 (0.001) Loss 1.7176 (1.7807) Prec@1 57.031 (59.528) Prec@5 80.469 (81.159) Epoch: [43][3140/10010] Time 0.322 (0.326) Data 0.001 (0.001) Loss 1.8636 (1.7810) Prec@1 61.719 (59.522) Prec@5 79.688 (81.154) Epoch: [43][3150/10010] Time 0.335 (0.326) Data 0.001 (0.001) Loss 1.8643 (1.7812) Prec@1 60.156 (59.520) Prec@5 78.906 (81.147) Epoch: [43][3160/10010] Time 0.321 (0.326) Data 0.000 (0.001) Loss 1.8308 (1.7809) Prec@1 54.688 (59.524) Prec@5 78.906 (81.151) Epoch: [43][3170/10010] Time 0.335 (0.326) Data 0.001 (0.001) Loss 2.0005 (1.7811) Prec@1 53.125 (59.524) Prec@5 78.125 (81.148) Epoch: [43][3180/10010] Time 0.313 (0.326) Data 0.001 (0.001) Loss 1.5720 (1.7812) Prec@1 64.844 (59.523) Prec@5 86.719 (81.148) Epoch: [43][3190/10010] Time 0.326 (0.326) Data 0.001 (0.001) Loss 2.2201 (1.7814) Prec@1 56.250 (59.515) Prec@5 74.219 (81.145) Epoch: [43][3200/10010] Time 0.330 (0.326) Data 0.000 (0.001) Loss 1.9717 (1.7814) Prec@1 60.938 (59.512) Prec@5 78.125 (81.147) Epoch: [43][3210/10010] Time 0.327 (0.326) Data 0.000 (0.001) Loss 1.9840 (1.7813) Prec@1 53.906 (59.516) Prec@5 77.344 (81.148) Epoch: [43][3220/10010] Time 0.340 (0.326) Data 0.001 (0.001) Loss 1.4328 (1.7813) Prec@1 62.500 (59.514) Prec@5 86.719 (81.146) Epoch: [43][3230/10010] Time 0.339 (0.326) Data 0.001 (0.001) Loss 2.0426 (1.7814) Prec@1 53.906 (59.514) Prec@5 78.125 (81.147) Epoch: [43][3240/10010] Time 0.336 (0.326) Data 0.001 (0.001) Loss 1.6525 (1.7811) Prec@1 60.938 (59.513) Prec@5 82.031 (81.149) Epoch: [43][3250/10010] Time 0.335 (0.326) Data 0.001 (0.001) Loss 1.7647 (1.7811) Prec@1 62.500 (59.516) Prec@5 79.688 (81.150) Epoch: [43][3260/10010] Time 0.315 (0.326) Data 0.000 (0.001) Loss 1.5950 (1.7811) Prec@1 61.719 (59.513) Prec@5 82.812 (81.150) Epoch: [43][3270/10010] Time 0.327 (0.326) Data 0.001 (0.001) Loss 1.6818 (1.7813) Prec@1 62.500 (59.509) Prec@5 83.594 (81.150) Epoch: [43][3280/10010] Time 0.324 (0.326) Data 0.001 (0.001) Loss 2.0710 (1.7816) Prec@1 53.125 (59.503) Prec@5 75.781 (81.140) Epoch: [43][3290/10010] Time 0.334 (0.326) Data 0.001 (0.001) Loss 1.7813 (1.7819) Prec@1 60.156 (59.497) Prec@5 81.250 (81.135) Epoch: [43][3300/10010] Time 0.334 (0.326) Data 0.000 (0.001) Loss 1.8139 (1.7818) Prec@1 60.938 (59.505) Prec@5 78.125 (81.139) Epoch: [43][3310/10010] Time 0.329 (0.326) Data 0.001 (0.001) Loss 1.8132 (1.7816) Prec@1 59.375 (59.504) Prec@5 80.469 (81.140) Epoch: [43][3320/10010] Time 0.331 (0.326) Data 0.001 (0.001) Loss 1.9683 (1.7816) Prec@1 59.375 (59.507) Prec@5 79.688 (81.138) Epoch: [43][3330/10010] Time 0.335 (0.326) Data 0.001 (0.001) Loss 1.6119 (1.7815) Prec@1 63.281 (59.508) Prec@5 83.594 (81.138) Epoch: [43][3340/10010] Time 0.318 (0.326) Data 0.001 (0.001) Loss 1.8389 (1.7815) Prec@1 59.375 (59.506) Prec@5 75.000 (81.140) Epoch: [43][3350/10010] Time 0.320 (0.326) Data 0.001 (0.001) Loss 1.7605 (1.7817) Prec@1 61.719 (59.504) Prec@5 82.031 (81.139) Epoch: [43][3360/10010] Time 0.339 (0.326) Data 0.001 (0.001) Loss 2.0487 (1.7819) Prec@1 57.031 (59.502) Prec@5 76.562 (81.135) Epoch: [43][3370/10010] Time 0.327 (0.326) Data 0.001 (0.001) Loss 1.8476 (1.7819) Prec@1 61.719 (59.498) Prec@5 81.250 (81.136) Epoch: [43][3380/10010] Time 0.313 (0.326) Data 0.001 (0.001) Loss 1.8560 (1.7820) Prec@1 57.031 (59.497) Prec@5 81.250 (81.134) Epoch: [43][3390/10010] Time 0.315 (0.326) Data 0.001 (0.001) Loss 1.9887 (1.7822) Prec@1 53.125 (59.495) Prec@5 75.781 (81.133) Epoch: [43][3400/10010] Time 0.330 (0.326) Data 0.001 (0.001) Loss 1.9608 (1.7823) Prec@1 52.344 (59.493) Prec@5 80.469 (81.132) Epoch: [43][3410/10010] Time 0.328 (0.326) Data 0.001 (0.001) Loss 1.5544 (1.7821) Prec@1 61.719 (59.499) Prec@5 81.250 (81.138) Epoch: [43][3420/10010] Time 0.322 (0.326) Data 0.001 (0.001) Loss 2.0630 (1.7822) Prec@1 50.000 (59.497) Prec@5 76.562 (81.134) Epoch: [43][3430/10010] Time 0.319 (0.326) Data 0.001 (0.001) Loss 1.8008 (1.7823) Prec@1 58.594 (59.494) Prec@5 85.156 (81.131) Epoch: [43][3440/10010] Time 0.319 (0.326) Data 0.001 (0.001) Loss 1.5117 (1.7821) Prec@1 60.156 (59.499) Prec@5 86.719 (81.135) Epoch: [43][3450/10010] Time 0.325 (0.326) Data 0.001 (0.001) Loss 1.9793 (1.7821) Prec@1 54.688 (59.503) Prec@5 79.688 (81.137) Epoch: [43][3460/10010] Time 0.338 (0.326) Data 0.001 (0.001) Loss 1.8875 (1.7821) Prec@1 59.375 (59.505) Prec@5 81.250 (81.138) Epoch: [43][3470/10010] Time 0.319 (0.326) Data 0.001 (0.001) Loss 1.8773 (1.7822) Prec@1 49.219 (59.499) Prec@5 78.906 (81.140) /data/vision/torralba/deepscene/lib/anaconda2/lib/python2.7/site-packages/PIL/TiffImagePlugin.py:692: UserWarning: Possibly corrupt EXIF data. Expecting to read 1835008 bytes but only got 0. Skipping tag 0 "Skipping tag %s" % (size, len(data), tag)) Epoch: [43][3480/10010] Time 0.310 (0.326) Data 0.000 (0.001) Loss 1.4301 (1.7819) Prec@1 69.531 (59.505) Prec@5 85.156 (81.143) Epoch: [43][3490/10010] Time 0.330 (0.326) Data 0.001 (0.001) Loss 1.6826 (1.7817) Prec@1 68.750 (59.509) Prec@5 82.031 (81.144) Epoch: [43][3500/10010] Time 0.316 (0.326) Data 0.001 (0.001) Loss 1.7248 (1.7817) Prec@1 55.469 (59.506) Prec@5 82.812 (81.147) Epoch: [43][3510/10010] Time 0.316 (0.326) Data 0.001 (0.001) Loss 1.9614 (1.7818) Prec@1 57.031 (59.501) Prec@5 77.344 (81.147) Epoch: [43][3520/10010] Time 0.321 (0.326) Data 0.001 (0.001) Loss 1.5590 (1.7816) Prec@1 66.406 (59.505) Prec@5 82.812 (81.148) Epoch: [43][3530/10010] Time 0.319 (0.326) Data 0.000 (0.001) Loss 1.7729 (1.7818) Prec@1 59.375 (59.503) Prec@5 75.781 (81.143) Epoch: [43][3540/10010] Time 0.340 (0.326) Data 0.000 (0.001) Loss 1.5509 (1.7818) Prec@1 62.500 (59.500) Prec@5 83.594 (81.142) Epoch: [43][3550/10010] Time 0.335 (0.326) Data 0.001 (0.001) Loss 2.3515 (1.7822) Prec@1 52.344 (59.497) Prec@5 70.312 (81.136) Epoch: [43][3560/10010] Time 0.312 (0.326) Data 0.000 (0.001) Loss 1.9684 (1.7824) Prec@1 52.344 (59.490) Prec@5 75.000 (81.132) Epoch: [43][3570/10010] Time 0.321 (0.326) Data 0.000 (0.001) Loss 1.7803 (1.7822) Prec@1 56.250 (59.493) Prec@5 79.688 (81.134) Epoch: [43][3580/10010] Time 0.325 (0.326) Data 0.001 (0.001) Loss 1.5865 (1.7824) Prec@1 60.938 (59.490) Prec@5 83.594 (81.131) Epoch: [43][3590/10010] Time 0.320 (0.326) Data 0.001 (0.001) Loss 1.7325 (1.7823) Prec@1 61.719 (59.493) Prec@5 79.688 (81.128) Epoch: [43][3600/10010] Time 0.323 (0.326) Data 0.000 (0.001) Loss 2.0828 (1.7824) Prec@1 51.562 (59.491) Prec@5 75.781 (81.127) Epoch: [43][3610/10010] Time 0.337 (0.326) Data 0.001 (0.001) Loss 1.8484 (1.7826) Prec@1 59.375 (59.485) Prec@5 85.156 (81.122) Epoch: [43][3620/10010] Time 0.339 (0.326) Data 0.001 (0.001) Loss 1.8077 (1.7827) Prec@1 60.156 (59.483) Prec@5 77.344 (81.120) Epoch: [43][3630/10010] Time 0.336 (0.326) Data 0.001 (0.001) Loss 1.4655 (1.7826) Prec@1 67.969 (59.487) Prec@5 89.844 (81.122) Epoch: [43][3640/10010] Time 0.329 (0.326) Data 0.000 (0.001) Loss 1.7845 (1.7824) Prec@1 57.812 (59.489) Prec@5 81.250 (81.124) Epoch: [43][3650/10010] Time 0.338 (0.326) Data 0.001 (0.001) Loss 1.6400 (1.7828) Prec@1 58.594 (59.479) Prec@5 87.500 (81.121) Epoch: [43][3660/10010] Time 0.322 (0.326) Data 0.000 (0.001) Loss 1.9049 (1.7829) Prec@1 54.688 (59.479) Prec@5 78.125 (81.117) /data/vision/torralba/deepscene/lib/anaconda2/lib/python2.7/site-packages/PIL/TiffImagePlugin.py:692: UserWarning: Possibly corrupt EXIF data. Expecting to read 2555904 bytes but only got 0. Skipping tag 0 "Skipping tag %s" % (size, len(data), tag)) Epoch: [43][3670/10010] Time 0.331 (0.326) Data 0.001 (0.001) Loss 1.9431 (1.7829) Prec@1 54.688 (59.475) Prec@5 77.344 (81.114) Epoch: [43][3680/10010] Time 0.334 (0.326) Data 0.001 (0.001) Loss 1.6747 (1.7828) Prec@1 62.500 (59.476) Prec@5 79.688 (81.118) Epoch: [43][3690/10010] Time 0.323 (0.326) Data 0.001 (0.001) Loss 1.8012 (1.7827) Prec@1 57.812 (59.477) Prec@5 82.031 (81.119) Epoch: [43][3700/10010] Time 0.331 (0.326) Data 0.001 (0.001) Loss 2.0397 (1.7829) Prec@1 48.438 (59.473) Prec@5 79.688 (81.119) Epoch: [43][3710/10010] Time 0.341 (0.326) Data 0.000 (0.001) Loss 2.0226 (1.7832) Prec@1 53.906 (59.467) Prec@5 76.562 (81.109) Epoch: [43][3720/10010] Time 0.319 (0.326) Data 0.001 (0.001) Loss 1.9052 (1.7832) Prec@1 56.250 (59.463) Prec@5 80.469 (81.110) Epoch: [43][3730/10010] Time 0.323 (0.326) Data 0.001 (0.001) Loss 1.8226 (1.7836) Prec@1 57.812 (59.459) Prec@5 81.250 (81.106) Epoch: [43][3740/10010] Time 0.331 (0.326) Data 0.001 (0.001) Loss 1.5238 (1.7835) Prec@1 61.719 (59.458) Prec@5 85.156 (81.104) Epoch: [43][3750/10010] Time 0.341 (0.326) Data 0.001 (0.001) Loss 1.7839 (1.7834) Prec@1 57.812 (59.464) Prec@5 81.250 (81.105) Epoch: [43][3760/10010] Time 0.321 (0.326) Data 0.000 (0.001) Loss 2.2361 (1.7837) Prec@1 53.125 (59.458) Prec@5 75.781 (81.102) Epoch: [43][3770/10010] Time 0.329 (0.326) Data 0.001 (0.001) Loss 1.6222 (1.7836) Prec@1 62.500 (59.455) Prec@5 82.031 (81.106) Epoch: [43][3780/10010] Time 0.319 (0.326) Data 0.001 (0.001) Loss 1.9224 (1.7838) Prec@1 53.125 (59.451) Prec@5 77.344 (81.103) Epoch: [43][3790/10010] Time 0.313 (0.326) Data 0.001 (0.001) Loss 1.6955 (1.7838) Prec@1 58.594 (59.449) Prec@5 82.031 (81.104) Epoch: [43][3800/10010] Time 0.334 (0.326) Data 0.000 (0.001) Loss 1.5834 (1.7837) Prec@1 67.969 (59.452) Prec@5 84.375 (81.103) Epoch: [43][3810/10010] Time 0.317 (0.326) Data 0.000 (0.001) Loss 1.7710 (1.7837) Prec@1 59.375 (59.449) Prec@5 82.812 (81.099) Epoch: [43][3820/10010] Time 0.333 (0.326) Data 0.001 (0.001) Loss 1.7691 (1.7837) Prec@1 60.156 (59.449) Prec@5 78.906 (81.101) Epoch: [43][3830/10010] Time 0.336 (0.326) Data 0.001 (0.001) Loss 1.7717 (1.7838) Prec@1 58.594 (59.443) Prec@5 82.812 (81.099) Epoch: [43][3840/10010] Time 0.336 (0.326) Data 0.001 (0.001) Loss 2.0036 (1.7838) Prec@1 51.562 (59.441) Prec@5 76.562 (81.099) Epoch: [43][3850/10010] Time 0.324 (0.326) Data 0.001 (0.001) Loss 1.7674 (1.7840) Prec@1 60.156 (59.441) Prec@5 82.812 (81.096) Epoch: [43][3860/10010] Time 0.341 (0.326) Data 0.001 (0.001) Loss 1.7974 (1.7842) Prec@1 60.156 (59.440) Prec@5 84.375 (81.095) Epoch: [43][3870/10010] Time 0.311 (0.326) Data 0.001 (0.001) Loss 1.8508 (1.7842) Prec@1 57.031 (59.434) Prec@5 78.125 (81.095) Epoch: [43][3880/10010] Time 0.342 (0.326) Data 0.001 (0.001) Loss 1.8746 (1.7842) Prec@1 61.719 (59.436) Prec@5 78.906 (81.093) Epoch: [43][3890/10010] Time 0.334 (0.326) Data 0.001 (0.001) Loss 1.7298 (1.7842) Prec@1 62.500 (59.436) Prec@5 82.031 (81.091) Epoch: [43][3900/10010] Time 0.344 (0.326) Data 0.001 (0.001) Loss 1.7087 (1.7842) Prec@1 63.281 (59.432) Prec@5 83.594 (81.091) Epoch: [43][3910/10010] Time 0.312 (0.326) Data 0.001 (0.001) Loss 1.7042 (1.7843) Prec@1 59.375 (59.429) Prec@5 84.375 (81.089) Epoch: [43][3920/10010] Time 0.314 (0.326) Data 0.001 (0.001) Loss 1.5543 (1.7842) Prec@1 67.969 (59.432) Prec@5 85.938 (81.091) Epoch: [43][3930/10010] Time 0.328 (0.326) Data 0.001 (0.001) Loss 1.4177 (1.7841) Prec@1 65.625 (59.430) Prec@5 82.812 (81.094) Epoch: [43][3940/10010] Time 0.320 (0.326) Data 0.001 (0.001) Loss 1.7582 (1.7841) Prec@1 59.375 (59.431) Prec@5 82.812 (81.094) Epoch: [43][3950/10010] Time 0.318 (0.326) Data 0.001 (0.001) Loss 1.8443 (1.7844) Prec@1 59.375 (59.422) Prec@5 79.688 (81.092) Epoch: [43][3960/10010] Time 0.317 (0.326) Data 0.001 (0.001) Loss 1.5118 (1.7842) Prec@1 60.938 (59.426) Prec@5 86.719 (81.092) Epoch: [43][3970/10010] Time 0.311 (0.326) Data 0.001 (0.001) Loss 1.6714 (1.7842) Prec@1 58.594 (59.426) Prec@5 84.375 (81.093) Epoch: [43][3980/10010] Time 0.336 (0.326) Data 0.000 (0.001) Loss 1.5867 (1.7843) Prec@1 60.156 (59.420) Prec@5 83.594 (81.092) Epoch: [43][3990/10010] Time 0.332 (0.326) Data 0.001 (0.001) Loss 1.8287 (1.7841) Prec@1 57.812 (59.420) Prec@5 82.031 (81.094) Epoch: [43][4000/10010] Time 0.332 (0.327) Data 0.001 (0.001) Loss 1.7598 (1.7841) Prec@1 64.062 (59.425) Prec@5 82.812 (81.096) Epoch: [43][4010/10010] Time 0.310 (0.327) Data 0.001 (0.001) Loss 1.8573 (1.7842) Prec@1 60.156 (59.424) Prec@5 81.250 (81.093) Epoch: [43][4020/10010] Time 0.316 (0.327) Data 0.001 (0.001) Loss 2.2326 (1.7843) Prec@1 50.000 (59.418) Prec@5 72.656 (81.091) Epoch: [43][4030/10010] Time 0.328 (0.327) Data 0.001 (0.001) Loss 1.6966 (1.7843) Prec@1 60.938 (59.419) Prec@5 84.375 (81.093) Epoch: [43][4040/10010] Time 0.322 (0.327) Data 0.001 (0.001) Loss 1.7393 (1.7844) Prec@1 57.031 (59.416) Prec@5 80.469 (81.091) Epoch: [43][4050/10010] Time 0.320 (0.327) Data 0.001 (0.001) Loss 1.5553 (1.7843) Prec@1 60.938 (59.415) Prec@5 85.156 (81.091) Epoch: [43][4060/10010] Time 0.309 (0.326) Data 0.001 (0.001) Loss 1.3988 (1.7844) Prec@1 68.750 (59.413) Prec@5 85.938 (81.090) Epoch: [43][4070/10010] Time 0.337 (0.326) Data 0.001 (0.001) Loss 1.9887 (1.7845) Prec@1 52.344 (59.413) Prec@5 80.469 (81.086) Epoch: [43][4080/10010] Time 0.314 (0.327) Data 0.000 (0.001) Loss 2.1810 (1.7845) Prec@1 53.906 (59.409) Prec@5 74.219 (81.085) Epoch: [43][4090/10010] Time 0.322 (0.326) Data 0.001 (0.001) Loss 1.6001 (1.7843) Prec@1 61.719 (59.413) Prec@5 85.156 (81.089) Epoch: [43][4100/10010] Time 0.337 (0.326) Data 0.001 (0.001) Loss 2.2441 (1.7845) Prec@1 51.562 (59.410) Prec@5 75.000 (81.086) Epoch: [43][4110/10010] Time 0.331 (0.326) Data 0.001 (0.001) Loss 1.8894 (1.7844) Prec@1 56.250 (59.409) Prec@5 79.688 (81.087) Epoch: [43][4120/10010] Time 0.323 (0.326) Data 0.000 (0.001) Loss 1.7582 (1.7844) Prec@1 57.812 (59.405) Prec@5 83.594 (81.088) /data/vision/torralba/deepscene/lib/anaconda2/lib/python2.7/site-packages/PIL/TiffImagePlugin.py:692: UserWarning: Possibly corrupt EXIF data. Expecting to read 2555904 bytes but only got 0. Skipping tag 0 "Skipping tag %s" % (size, len(data), tag)) Epoch: [43][4130/10010] Time 0.330 (0.326) Data 0.001 (0.001) Loss 1.5304 (1.7843) Prec@1 62.500 (59.407) Prec@5 84.375 (81.089) Epoch: [43][4140/10010] Time 0.324 (0.326) Data 0.001 (0.001) Loss 1.6453 (1.7844) Prec@1 61.719 (59.404) Prec@5 80.469 (81.088) Epoch: [43][4150/10010] Time 0.323 (0.326) Data 0.001 (0.001) Loss 1.7890 (1.7843) Prec@1 61.719 (59.408) Prec@5 77.344 (81.088) Epoch: [43][4160/10010] Time 0.313 (0.326) Data 0.001 (0.001) Loss 1.4852 (1.7841) Prec@1 60.938 (59.408) Prec@5 84.375 (81.092) Epoch: [43][4170/10010] Time 0.331 (0.326) Data 0.001 (0.001) Loss 1.7860 (1.7844) Prec@1 58.594 (59.404) Prec@5 80.469 (81.090) Epoch: [43][4180/10010] Time 0.329 (0.326) Data 0.001 (0.001) Loss 1.9920 (1.7845) Prec@1 52.344 (59.401) Prec@5 75.000 (81.089) Epoch: [43][4190/10010] Time 0.321 (0.326) Data 0.001 (0.001) Loss 1.9206 (1.7846) Prec@1 53.906 (59.398) Prec@5 81.250 (81.087) Epoch: [43][4200/10010] Time 0.332 (0.326) Data 0.001 (0.001) Loss 1.7447 (1.7846) Prec@1 59.375 (59.399) Prec@5 78.906 (81.086) Epoch: [43][4210/10010] Time 0.336 (0.326) Data 0.000 (0.001) Loss 1.5997 (1.7844) Prec@1 63.281 (59.399) Prec@5 83.594 (81.093) Epoch: [43][4220/10010] Time 0.346 (0.326) Data 0.001 (0.001) Loss 1.5768 (1.7844) Prec@1 63.281 (59.402) Prec@5 84.375 (81.091) Epoch: [43][4230/10010] Time 0.317 (0.326) Data 0.000 (0.001) Loss 2.1828 (1.7847) Prec@1 57.031 (59.398) Prec@5 75.000 (81.084) Epoch: [43][4240/10010] Time 0.330 (0.326) Data 0.001 (0.001) Loss 1.9136 (1.7850) Prec@1 60.156 (59.393) Prec@5 78.906 (81.077) /data/vision/torralba/deepscene/lib/anaconda2/lib/python2.7/site-packages/PIL/TiffImagePlugin.py:709: UserWarning: Corrupt EXIF data. Expecting to read 4 bytes but only got 0. warnings.warn(str(msg)) Epoch: [43][4250/10010] Time 0.328 (0.326) Data 0.000 (0.001) Loss 1.6501 (1.7851) Prec@1 60.156 (59.388) Prec@5 82.031 (81.075) Epoch: [43][4260/10010] Time 0.345 (0.326) Data 0.000 (0.001) Loss 1.7329 (1.7849) Prec@1 63.281 (59.392) Prec@5 78.125 (81.079) Epoch: [43][4270/10010] Time 0.325 (0.326) Data 0.001 (0.001) Loss 1.8272 (1.7851) Prec@1 56.250 (59.386) Prec@5 82.031 (81.076) Epoch: [43][4280/10010] Time 0.323 (0.326) Data 0.001 (0.001) Loss 1.8948 (1.7854) Prec@1 57.031 (59.381) Prec@5 76.562 (81.070) Epoch: [43][4290/10010] Time 0.321 (0.326) Data 0.000 (0.001) Loss 1.7937 (1.7856) Prec@1 60.938 (59.377) Prec@5 83.594 (81.067) Epoch: [43][4300/10010] Time 0.333 (0.326) Data 0.000 (0.001) Loss 1.6547 (1.7856) Prec@1 58.594 (59.375) Prec@5 82.812 (81.068) Epoch: [43][4310/10010] Time 0.329 (0.326) Data 0.001 (0.001) Loss 1.6977 (1.7855) Prec@1 66.406 (59.373) Prec@5 82.031 (81.069) Epoch: [43][4320/10010] Time 0.338 (0.326) Data 0.001 (0.001) Loss 2.3157 (1.7858) Prec@1 46.875 (59.368) Prec@5 75.000 (81.064) Epoch: [43][4330/10010] Time 0.329 (0.326) Data 0.001 (0.001) Loss 1.9063 (1.7859) Prec@1 57.812 (59.362) Prec@5 80.469 (81.065) Epoch: [43][4340/10010] Time 0.337 (0.326) Data 0.001 (0.001) Loss 1.6353 (1.7859) Prec@1 59.375 (59.365) Prec@5 85.938 (81.066) Epoch: [43][4350/10010] Time 0.348 (0.326) Data 0.001 (0.001) Loss 2.0346 (1.7859) Prec@1 59.375 (59.366) Prec@5 78.906 (81.066) Epoch: [43][4360/10010] Time 0.320 (0.326) Data 0.001 (0.001) Loss 1.8331 (1.7859) Prec@1 60.156 (59.369) Prec@5 79.688 (81.067) Epoch: [43][4370/10010] Time 0.342 (0.326) Data 0.001 (0.001) Loss 2.0783 (1.7860) Prec@1 53.125 (59.368) Prec@5 77.344 (81.065) Epoch: [43][4380/10010] Time 0.318 (0.326) Data 0.000 (0.001) Loss 1.5518 (1.7860) Prec@1 64.062 (59.369) Prec@5 84.375 (81.065) Epoch: [43][4390/10010] Time 0.328 (0.326) Data 0.001 (0.001) Loss 1.8535 (1.7859) Prec@1 57.812 (59.369) Prec@5 82.812 (81.065) Epoch: [43][4400/10010] Time 0.326 (0.326) Data 0.001 (0.001) Loss 1.9642 (1.7861) Prec@1 57.031 (59.366) Prec@5 75.000 (81.061) Epoch: [43][4410/10010] Time 0.328 (0.326) Data 0.001 (0.001) Loss 1.6869 (1.7863) Prec@1 60.156 (59.364) Prec@5 86.719 (81.058) Epoch: [43][4420/10010] Time 0.335 (0.326) Data 0.000 (0.001) Loss 1.8215 (1.7865) Prec@1 67.188 (59.362) Prec@5 82.812 (81.058) Epoch: [43][4430/10010] Time 0.325 (0.326) Data 0.001 (0.001) Loss 1.5379 (1.7865) Prec@1 69.531 (59.362) Prec@5 88.281 (81.060) Epoch: [43][4440/10010] Time 0.330 (0.326) Data 0.001 (0.001) Loss 1.5646 (1.7865) Prec@1 64.844 (59.364) Prec@5 86.719 (81.060) Epoch: [43][4450/10010] Time 0.322 (0.326) Data 0.001 (0.001) Loss 1.9339 (1.7864) Prec@1 56.250 (59.365) Prec@5 82.031 (81.063) Epoch: [43][4460/10010] Time 0.338 (0.326) Data 0.001 (0.001) Loss 1.4360 (1.7866) Prec@1 63.281 (59.361) Prec@5 85.156 (81.064) Epoch: [43][4470/10010] Time 0.316 (0.326) Data 0.001 (0.001) Loss 1.8212 (1.7866) Prec@1 51.562 (59.358) Prec@5 82.812 (81.066) Epoch: [43][4480/10010] Time 0.336 (0.326) Data 0.001 (0.001) Loss 1.9574 (1.7868) Prec@1 57.031 (59.354) Prec@5 75.781 (81.060) Epoch: [43][4490/10010] Time 0.340 (0.326) Data 0.001 (0.001) Loss 2.0378 (1.7869) Prec@1 50.781 (59.351) Prec@5 78.125 (81.061) Epoch: [43][4500/10010] Time 0.341 (0.326) Data 0.000 (0.001) Loss 1.6496 (1.7870) Prec@1 59.375 (59.346) Prec@5 84.375 (81.059) Epoch: [43][4510/10010] Time 0.328 (0.327) Data 0.001 (0.001) Loss 1.9614 (1.7873) Prec@1 60.156 (59.342) Prec@5 78.906 (81.056) Epoch: [43][4520/10010] Time 0.323 (0.326) Data 0.001 (0.001) Loss 1.6596 (1.7873) Prec@1 65.625 (59.339) Prec@5 82.031 (81.056) Epoch: [43][4530/10010] Time 0.313 (0.327) Data 0.001 (0.001) Loss 1.9348 (1.7874) Prec@1 53.125 (59.341) Prec@5 79.688 (81.054) Epoch: [43][4540/10010] Time 0.318 (0.326) Data 0.000 (0.001) Loss 1.8059 (1.7874) Prec@1 57.031 (59.341) Prec@5 81.250 (81.052) Epoch: [43][4550/10010] Time 0.336 (0.327) Data 0.001 (0.001) Loss 1.5996 (1.7875) Prec@1 65.625 (59.343) Prec@5 85.156 (81.053) Epoch: [43][4560/10010] Time 0.335 (0.327) Data 0.001 (0.001) Loss 1.9511 (1.7877) Prec@1 55.469 (59.342) Prec@5 78.906 (81.048) Epoch: [43][4570/10010] Time 0.318 (0.326) Data 0.001 (0.001) Loss 1.8437 (1.7879) Prec@1 57.812 (59.334) Prec@5 79.688 (81.045) Epoch: [43][4580/10010] Time 0.325 (0.327) Data 0.001 (0.001) Loss 1.7333 (1.7881) Prec@1 61.719 (59.333) Prec@5 79.688 (81.042) Epoch: [43][4590/10010] Time 0.313 (0.327) Data 0.001 (0.001) Loss 1.6330 (1.7879) Prec@1 60.156 (59.337) Prec@5 82.031 (81.043) Epoch: [43][4600/10010] Time 0.315 (0.327) Data 0.001 (0.001) Loss 1.6931 (1.7879) Prec@1 60.938 (59.338) Prec@5 80.469 (81.043) Epoch: [43][4610/10010] Time 0.314 (0.326) Data 0.001 (0.001) Loss 2.0304 (1.7878) Prec@1 56.250 (59.338) Prec@5 73.438 (81.043) Epoch: [43][4620/10010] Time 0.338 (0.326) Data 0.000 (0.001) Loss 1.6295 (1.7878) Prec@1 58.594 (59.336) Prec@5 85.938 (81.045) Epoch: [43][4630/10010] Time 0.333 (0.326) Data 0.001 (0.001) Loss 1.6334 (1.7879) Prec@1 57.031 (59.332) Prec@5 82.031 (81.043) Epoch: [43][4640/10010] Time 0.340 (0.327) Data 0.001 (0.001) Loss 1.6073 (1.7879) Prec@1 61.719 (59.332) Prec@5 82.031 (81.044) Epoch: [43][4650/10010] Time 0.327 (0.327) Data 0.000 (0.001) Loss 1.7380 (1.7877) Prec@1 60.938 (59.336) Prec@5 79.688 (81.048) Epoch: [43][4660/10010] Time 0.336 (0.327) Data 0.000 (0.001) Loss 1.5508 (1.7878) Prec@1 61.719 (59.337) Prec@5 86.719 (81.044) Epoch: [43][4670/10010] Time 0.338 (0.327) Data 0.001 (0.001) Loss 1.7250 (1.7878) Prec@1 60.938 (59.336) Prec@5 81.250 (81.042) Epoch: [43][4680/10010] Time 0.334 (0.327) Data 0.001 (0.001) Loss 1.9323 (1.7881) Prec@1 60.938 (59.334) Prec@5 81.250 (81.038) Epoch: [43][4690/10010] Time 0.317 (0.327) Data 0.001 (0.001) Loss 2.0498 (1.7884) Prec@1 53.906 (59.329) Prec@5 75.781 (81.033) Epoch: [43][4700/10010] Time 0.312 (0.327) Data 0.001 (0.001) Loss 1.8751 (1.7883) Prec@1 61.719 (59.333) Prec@5 75.781 (81.033) Epoch: [43][4710/10010] Time 0.333 (0.327) Data 0.001 (0.001) Loss 2.2087 (1.7886) Prec@1 54.688 (59.327) Prec@5 74.219 (81.029) Epoch: [43][4720/10010] Time 0.338 (0.327) Data 0.001 (0.001) Loss 1.6831 (1.7886) Prec@1 58.594 (59.329) Prec@5 83.594 (81.029) Epoch: [43][4730/10010] Time 0.323 (0.327) Data 0.001 (0.001) Loss 1.7113 (1.7886) Prec@1 60.156 (59.329) Prec@5 82.812 (81.030) Epoch: [43][4740/10010] Time 0.341 (0.327) Data 0.001 (0.001) Loss 1.6235 (1.7887) Prec@1 66.406 (59.332) Prec@5 84.375 (81.028) Epoch: [43][4750/10010] Time 0.338 (0.327) Data 0.001 (0.001) Loss 2.0364 (1.7888) Prec@1 54.688 (59.329) Prec@5 75.781 (81.026) Epoch: [43][4760/10010] Time 0.334 (0.327) Data 0.001 (0.001) Loss 1.7909 (1.7889) Prec@1 62.500 (59.327) Prec@5 76.562 (81.023) Epoch: [43][4770/10010] Time 0.340 (0.327) Data 0.001 (0.001) Loss 1.8283 (1.7890) Prec@1 60.156 (59.325) Prec@5 79.688 (81.023) Epoch: [43][4780/10010] Time 0.316 (0.327) Data 0.001 (0.001) Loss 1.8192 (1.7888) Prec@1 58.594 (59.328) Prec@5 85.156 (81.024) Epoch: [43][4790/10010] Time 0.328 (0.327) Data 0.001 (0.001) Loss 1.7842 (1.7889) Prec@1 64.844 (59.327) Prec@5 77.344 (81.021) Epoch: [43][4800/10010] Time 0.311 (0.327) Data 0.001 (0.001) Loss 1.7107 (1.7890) Prec@1 62.500 (59.323) Prec@5 84.375 (81.018) Epoch: [43][4810/10010] Time 0.332 (0.327) Data 0.001 (0.001) Loss 2.0038 (1.7889) Prec@1 57.031 (59.324) Prec@5 79.688 (81.017) Epoch: [43][4820/10010] Time 0.317 (0.327) Data 0.000 (0.001) Loss 1.6664 (1.7888) Prec@1 64.062 (59.327) Prec@5 82.031 (81.019) Epoch: [43][4830/10010] Time 0.329 (0.327) Data 0.001 (0.001) Loss 2.0198 (1.7889) Prec@1 53.125 (59.325) Prec@5 73.438 (81.016) Epoch: [43][4840/10010] Time 0.335 (0.327) Data 0.001 (0.001) Loss 1.7282 (1.7888) Prec@1 60.938 (59.329) Prec@5 80.469 (81.016) Epoch: [43][4850/10010] Time 0.335 (0.327) Data 0.001 (0.001) Loss 1.7751 (1.7890) Prec@1 62.500 (59.326) Prec@5 79.688 (81.013) Epoch: [43][4860/10010] Time 0.324 (0.327) Data 0.001 (0.001) Loss 1.8762 (1.7893) Prec@1 56.250 (59.320) Prec@5 76.562 (81.006) Epoch: [43][4870/10010] Time 0.314 (0.327) Data 0.001 (0.001) Loss 1.4082 (1.7892) Prec@1 62.500 (59.322) Prec@5 85.156 (81.008) Epoch: [43][4880/10010] Time 0.318 (0.327) Data 0.001 (0.001) Loss 1.6157 (1.7892) Prec@1 62.500 (59.321) Prec@5 82.812 (81.006) Epoch: [43][4890/10010] Time 0.336 (0.327) Data 0.001 (0.001) Loss 1.9769 (1.7894) Prec@1 57.031 (59.318) Prec@5 78.906 (81.003) Epoch: [43][4900/10010] Time 0.325 (0.327) Data 0.001 (0.001) Loss 2.0177 (1.7893) Prec@1 52.344 (59.319) Prec@5 74.219 (81.002) Epoch: [43][4910/10010] Time 0.339 (0.327) Data 0.000 (0.001) Loss 1.9056 (1.7893) Prec@1 53.906 (59.318) Prec@5 75.000 (81.001) Epoch: [43][4920/10010] Time 0.326 (0.327) Data 0.001 (0.001) Loss 1.7244 (1.7894) Prec@1 60.156 (59.315) Prec@5 82.031 (81.000) Epoch: [43][4930/10010] Time 0.337 (0.327) Data 0.000 (0.001) Loss 1.9527 (1.7894) Prec@1 58.594 (59.316) Prec@5 78.906 (81.000) Epoch: [43][4940/10010] Time 0.317 (0.327) Data 0.001 (0.001) Loss 1.8411 (1.7895) Prec@1 63.281 (59.316) Prec@5 76.562 (80.998) Epoch: [43][4950/10010] Time 0.326 (0.327) Data 0.001 (0.001) Loss 1.7474 (1.7896) Prec@1 58.594 (59.312) Prec@5 82.812 (80.999) Epoch: [43][4960/10010] Time 0.332 (0.327) Data 0.001 (0.001) Loss 1.8777 (1.7896) Prec@1 58.594 (59.312) Prec@5 79.688 (80.999) Epoch: [43][4970/10010] Time 0.316 (0.327) Data 0.000 (0.001) Loss 1.7475 (1.7896) Prec@1 56.250 (59.311) Prec@5 81.250 (81.000) Epoch: [43][4980/10010] Time 0.315 (0.327) Data 0.001 (0.001) Loss 2.2987 (1.7896) Prec@1 51.562 (59.310) Prec@5 75.781 (81.002) Epoch: [43][4990/10010] Time 0.324 (0.327) Data 0.000 (0.001) Loss 1.4444 (1.7894) Prec@1 63.281 (59.312) Prec@5 84.375 (81.005) Epoch: [43][5000/10010] Time 0.341 (0.327) Data 0.001 (0.001) Loss 1.9614 (1.7893) Prec@1 55.469 (59.314) Prec@5 78.125 (81.006) Epoch: [43][5010/10010] Time 0.313 (0.327) Data 0.000 (0.001) Loss 1.9110 (1.7893) Prec@1 57.031 (59.314) Prec@5 84.375 (81.008) Epoch: [43][5020/10010] Time 0.338 (0.327) Data 0.000 (0.001) Loss 1.8339 (1.7896) Prec@1 56.250 (59.308) Prec@5 82.812 (81.001) Epoch: [43][5030/10010] Time 0.322 (0.327) Data 0.000 (0.001) Loss 1.8715 (1.7897) Prec@1 57.812 (59.305) Prec@5 78.906 (80.999) Epoch: [43][5040/10010] Time 0.314 (0.327) Data 0.001 (0.001) Loss 1.7918 (1.7900) Prec@1 57.031 (59.297) Prec@5 76.562 (80.994) Epoch: [43][5050/10010] Time 0.333 (0.327) Data 0.000 (0.001) Loss 1.9819 (1.7901) Prec@1 56.250 (59.293) Prec@5 79.688 (80.992) Epoch: [43][5060/10010] Time 0.315 (0.327) Data 0.000 (0.001) Loss 1.7905 (1.7901) Prec@1 60.938 (59.293) Prec@5 85.938 (80.993) Epoch: [43][5070/10010] Time 0.325 (0.327) Data 0.001 (0.001) Loss 2.0049 (1.7900) Prec@1 54.688 (59.293) Prec@5 76.562 (80.993) Epoch: [43][5080/10010] Time 0.310 (0.327) Data 0.000 (0.001) Loss 1.7700 (1.7901) Prec@1 59.375 (59.292) Prec@5 80.469 (80.993) Epoch: [43][5090/10010] Time 0.332 (0.327) Data 0.000 (0.001) Loss 2.0089 (1.7902) Prec@1 53.906 (59.290) Prec@5 78.125 (80.991) Epoch: [43][5100/10010] Time 0.317 (0.327) Data 0.000 (0.001) Loss 1.9957 (1.7904) Prec@1 54.688 (59.287) Prec@5 79.688 (80.989) Epoch: [43][5110/10010] Time 0.327 (0.327) Data 0.001 (0.001) Loss 1.7966 (1.7904) Prec@1 60.938 (59.288) Prec@5 80.469 (80.988) Epoch: [43][5120/10010] Time 0.324 (0.326) Data 0.001 (0.001) Loss 1.7230 (1.7904) Prec@1 56.250 (59.285) Prec@5 79.688 (80.985) Epoch: [43][5130/10010] Time 0.317 (0.326) Data 0.001 (0.001) Loss 1.5470 (1.7903) Prec@1 72.656 (59.285) Prec@5 87.500 (80.987) Epoch: [43][5140/10010] Time 0.320 (0.326) Data 0.001 (0.001) Loss 1.6873 (1.7901) Prec@1 60.156 (59.290) Prec@5 82.812 (80.991) Epoch: [43][5150/10010] Time 0.315 (0.326) Data 0.001 (0.001) Loss 1.6869 (1.7901) Prec@1 57.031 (59.291) Prec@5 85.156 (80.993) Epoch: [43][5160/10010] Time 0.332 (0.326) Data 0.001 (0.001) Loss 1.9263 (1.7900) Prec@1 57.812 (59.292) Prec@5 78.906 (80.996) Epoch: [43][5170/10010] Time 0.319 (0.326) Data 0.001 (0.001) Loss 1.7887 (1.7901) Prec@1 59.375 (59.290) Prec@5 82.812 (80.994) Epoch: [43][5180/10010] Time 0.335 (0.326) Data 0.000 (0.001) Loss 2.0359 (1.7904) Prec@1 53.125 (59.285) Prec@5 74.219 (80.988) Epoch: [43][5190/10010] Time 0.326 (0.326) Data 0.001 (0.001) Loss 1.8841 (1.7904) Prec@1 56.250 (59.284) Prec@5 83.594 (80.989) Epoch: [43][5200/10010] Time 0.319 (0.326) Data 0.001 (0.001) Loss 1.5566 (1.7904) Prec@1 64.844 (59.284) Prec@5 83.594 (80.989) Epoch: [43][5210/10010] Time 0.336 (0.326) Data 0.001 (0.001) Loss 1.6721 (1.7904) Prec@1 55.469 (59.280) Prec@5 82.031 (80.990) Epoch: [43][5220/10010] Time 0.306 (0.326) Data 0.001 (0.001) Loss 1.8041 (1.7905) Prec@1 60.156 (59.278) Prec@5 80.469 (80.989) Epoch: [43][5230/10010] Time 0.321 (0.326) Data 0.001 (0.001) Loss 2.0630 (1.7907) Prec@1 53.906 (59.274) Prec@5 77.344 (80.984) Epoch: [43][5240/10010] Time 0.332 (0.326) Data 0.001 (0.001) Loss 1.9459 (1.7907) Prec@1 59.375 (59.273) Prec@5 76.562 (80.980) Epoch: [43][5250/10010] Time 0.338 (0.326) Data 0.000 (0.001) Loss 1.9163 (1.7907) Prec@1 57.031 (59.275) Prec@5 77.344 (80.980) Epoch: [43][5260/10010] Time 0.315 (0.326) Data 0.001 (0.001) Loss 1.6453 (1.7907) Prec@1 59.375 (59.277) Prec@5 82.812 (80.981) Epoch: [43][5270/10010] Time 0.327 (0.326) Data 0.001 (0.001) Loss 1.4493 (1.7905) Prec@1 63.281 (59.280) Prec@5 83.594 (80.984) Epoch: [43][5280/10010] Time 0.312 (0.326) Data 0.001 (0.001) Loss 1.7376 (1.7905) Prec@1 58.594 (59.280) Prec@5 79.688 (80.984) Epoch: [43][5290/10010] Time 0.323 (0.326) Data 0.001 (0.001) Loss 1.8477 (1.7905) Prec@1 64.844 (59.282) Prec@5 78.906 (80.985) Epoch: [43][5300/10010] Time 0.332 (0.326) Data 0.001 (0.001) Loss 1.8230 (1.7906) Prec@1 60.156 (59.281) Prec@5 78.125 (80.983) Epoch: [43][5310/10010] Time 0.332 (0.326) Data 0.000 (0.001) Loss 1.7101 (1.7906) Prec@1 57.812 (59.280) Prec@5 79.688 (80.981) Epoch: [43][5320/10010] Time 0.317 (0.326) Data 0.001 (0.001) Loss 1.8519 (1.7906) Prec@1 57.812 (59.280) Prec@5 76.562 (80.981) Epoch: [43][5330/10010] Time 0.341 (0.326) Data 0.001 (0.001) Loss 1.8870 (1.7908) Prec@1 59.375 (59.278) Prec@5 82.812 (80.979) Epoch: [43][5340/10010] Time 0.318 (0.326) Data 0.001 (0.001) Loss 1.7783 (1.7907) Prec@1 62.500 (59.282) Prec@5 85.156 (80.980) Epoch: [43][5350/10010] Time 0.334 (0.326) Data 0.001 (0.001) Loss 2.1476 (1.7909) Prec@1 53.906 (59.278) Prec@5 74.219 (80.977) Epoch: [43][5360/10010] Time 0.317 (0.326) Data 0.001 (0.001) Loss 1.6077 (1.7908) Prec@1 63.281 (59.281) Prec@5 82.031 (80.978) Epoch: [43][5370/10010] Time 0.318 (0.326) Data 0.001 (0.001) Loss 1.4569 (1.7906) Prec@1 64.062 (59.285) Prec@5 86.719 (80.980) Epoch: [43][5380/10010] Time 0.331 (0.326) Data 0.001 (0.001) Loss 2.1018 (1.7906) Prec@1 52.344 (59.282) Prec@5 75.000 (80.980) Epoch: [43][5390/10010] Time 0.324 (0.326) Data 0.001 (0.001) Loss 1.7141 (1.7906) Prec@1 58.594 (59.280) Prec@5 84.375 (80.982) Epoch: [43][5400/10010] Time 0.333 (0.326) Data 0.000 (0.001) Loss 1.9476 (1.7907) Prec@1 57.031 (59.281) Prec@5 78.906 (80.982) Epoch: [43][5410/10010] Time 0.321 (0.326) Data 0.000 (0.001) Loss 1.3059 (1.7905) Prec@1 67.969 (59.285) Prec@5 90.625 (80.985) Epoch: [43][5420/10010] Time 0.323 (0.326) Data 0.000 (0.001) Loss 2.0497 (1.7907) Prec@1 52.344 (59.281) Prec@5 74.219 (80.979) Epoch: [43][5430/10010] Time 0.325 (0.326) Data 0.000 (0.001) Loss 1.8847 (1.7909) Prec@1 58.594 (59.278) Prec@5 77.344 (80.975) Epoch: [43][5440/10010] Time 0.336 (0.326) Data 0.000 (0.001) Loss 1.9405 (1.7910) Prec@1 57.812 (59.278) Prec@5 79.688 (80.975) Epoch: [43][5450/10010] Time 0.331 (0.326) Data 0.001 (0.001) Loss 1.9694 (1.7911) Prec@1 54.688 (59.277) Prec@5 75.781 (80.973) Epoch: [43][5460/10010] Time 0.324 (0.326) Data 0.000 (0.001) Loss 1.7396 (1.7910) Prec@1 64.844 (59.278) Prec@5 79.688 (80.971) Epoch: [43][5470/10010] Time 0.334 (0.326) Data 0.001 (0.001) Loss 1.9667 (1.7910) Prec@1 54.688 (59.278) Prec@5 77.344 (80.969) Epoch: [43][5480/10010] Time 0.333 (0.326) Data 0.001 (0.001) Loss 1.7820 (1.7911) Prec@1 60.938 (59.278) Prec@5 81.250 (80.969) Epoch: [43][5490/10010] Time 0.319 (0.326) Data 0.001 (0.001) Loss 1.7984 (1.7911) Prec@1 57.031 (59.275) Prec@5 80.469 (80.968) Epoch: [43][5500/10010] Time 0.331 (0.326) Data 0.001 (0.001) Loss 1.7925 (1.7913) Prec@1 62.500 (59.274) Prec@5 78.906 (80.964) Epoch: [43][5510/10010] Time 0.316 (0.326) Data 0.000 (0.001) Loss 1.8876 (1.7913) Prec@1 60.156 (59.272) Prec@5 78.906 (80.963) Epoch: [43][5520/10010] Time 0.327 (0.326) Data 0.001 (0.001) Loss 1.4467 (1.7912) Prec@1 63.281 (59.274) Prec@5 85.938 (80.966) Epoch: [43][5530/10010] Time 0.332 (0.326) Data 0.001 (0.001) Loss 1.6249 (1.7913) Prec@1 60.938 (59.271) Prec@5 84.375 (80.963) Epoch: [43][5540/10010] Time 0.334 (0.326) Data 0.001 (0.001) Loss 1.8521 (1.7914) Prec@1 57.031 (59.270) Prec@5 80.469 (80.962) Epoch: [43][5550/10010] Time 0.336 (0.326) Data 0.000 (0.001) Loss 2.0656 (1.7914) Prec@1 53.125 (59.271) Prec@5 71.094 (80.959) Epoch: [43][5560/10010] Time 0.338 (0.326) Data 0.001 (0.001) Loss 1.7637 (1.7914) Prec@1 60.938 (59.271) Prec@5 78.125 (80.957) Epoch: [43][5570/10010] Time 0.339 (0.326) Data 0.001 (0.001) Loss 2.0845 (1.7916) Prec@1 53.906 (59.267) Prec@5 78.125 (80.953) Epoch: [43][5580/10010] Time 0.313 (0.326) Data 0.001 (0.001) Loss 1.8516 (1.7916) Prec@1 57.812 (59.268) Prec@5 81.250 (80.954) Epoch: [43][5590/10010] Time 0.332 (0.326) Data 0.000 (0.001) Loss 1.6757 (1.7917) Prec@1 57.031 (59.264) Prec@5 85.938 (80.954) Epoch: [43][5600/10010] Time 0.317 (0.326) Data 0.001 (0.001) Loss 1.7025 (1.7918) Prec@1 57.031 (59.263) Prec@5 81.250 (80.954) Epoch: [43][5610/10010] Time 0.321 (0.326) Data 0.000 (0.001) Loss 1.7718 (1.7919) Prec@1 60.938 (59.264) Prec@5 82.031 (80.953) Epoch: [43][5620/10010] Time 0.319 (0.326) Data 0.001 (0.001) Loss 1.7326 (1.7920) Prec@1 64.062 (59.261) Prec@5 84.375 (80.950) Epoch: [43][5630/10010] Time 0.335 (0.326) Data 0.000 (0.001) Loss 1.8268 (1.7919) Prec@1 59.375 (59.263) Prec@5 82.812 (80.953) Epoch: [43][5640/10010] Time 0.337 (0.326) Data 0.000 (0.001) Loss 1.8054 (1.7921) Prec@1 57.812 (59.258) Prec@5 79.688 (80.949) Epoch: [43][5650/10010] Time 0.319 (0.326) Data 0.001 (0.001) Loss 1.3779 (1.7920) Prec@1 69.531 (59.265) Prec@5 89.062 (80.950) Epoch: [43][5660/10010] Time 0.315 (0.326) Data 0.001 (0.001) Loss 2.1494 (1.7920) Prec@1 51.562 (59.263) Prec@5 75.781 (80.951) Epoch: [43][5670/10010] Time 0.311 (0.326) Data 0.001 (0.001) Loss 1.9590 (1.7919) Prec@1 57.812 (59.266) Prec@5 86.719 (80.955) Epoch: [43][5680/10010] Time 0.325 (0.326) Data 0.001 (0.001) Loss 2.2822 (1.7920) Prec@1 48.438 (59.263) Prec@5 71.094 (80.953) Epoch: [43][5690/10010] Time 0.310 (0.326) Data 0.001 (0.001) Loss 1.6830 (1.7919) Prec@1 60.938 (59.265) Prec@5 83.594 (80.956) Epoch: [43][5700/10010] Time 0.337 (0.327) Data 0.001 (0.001) Loss 2.0761 (1.7922) Prec@1 57.031 (59.262) Prec@5 78.125 (80.953) Epoch: [43][5710/10010] Time 0.317 (0.327) Data 0.000 (0.001) Loss 1.4049 (1.7920) Prec@1 67.969 (59.262) Prec@5 88.281 (80.956) Epoch: [43][5720/10010] Time 0.320 (0.326) Data 0.001 (0.001) Loss 1.7787 (1.7919) Prec@1 62.500 (59.261) Prec@5 81.250 (80.957) Epoch: [43][5730/10010] Time 0.320 (0.326) Data 0.001 (0.001) Loss 1.9643 (1.7920) Prec@1 57.812 (59.260) Prec@5 77.344 (80.955) Epoch: [43][5740/10010] Time 0.326 (0.326) Data 0.001 (0.001) Loss 1.8043 (1.7921) Prec@1 58.594 (59.256) Prec@5 81.250 (80.955) Epoch: [43][5750/10010] Time 0.335 (0.326) Data 0.001 (0.001) Loss 1.8426 (1.7921) Prec@1 59.375 (59.258) Prec@5 80.469 (80.955) Epoch: [43][5760/10010] Time 0.330 (0.326) Data 0.001 (0.001) Loss 1.6695 (1.7921) Prec@1 59.375 (59.259) Prec@5 82.031 (80.955) Epoch: [43][5770/10010] Time 0.320 (0.326) Data 0.000 (0.001) Loss 1.5343 (1.7920) Prec@1 63.281 (59.260) Prec@5 85.156 (80.955) Epoch: [43][5780/10010] Time 0.336 (0.326) Data 0.001 (0.001) Loss 1.5889 (1.7921) Prec@1 60.938 (59.256) Prec@5 83.594 (80.954) Epoch: [43][5790/10010] Time 0.325 (0.326) Data 0.001 (0.001) Loss 1.6133 (1.7921) Prec@1 62.500 (59.255) Prec@5 83.594 (80.953) Epoch: [43][5800/10010] Time 0.337 (0.326) Data 0.000 (0.001) Loss 1.8435 (1.7920) Prec@1 59.375 (59.256) Prec@5 78.125 (80.952) /data/vision/torralba/deepscene/lib/anaconda2/lib/python2.7/site-packages/PIL/TiffImagePlugin.py:692: UserWarning: Possibly corrupt EXIF data. Expecting to read 2555904 bytes but only got 0. Skipping tag 0 "Skipping tag %s" % (size, len(data), tag)) Epoch: [43][5810/10010] Time 0.329 (0.326) Data 0.000 (0.001) Loss 2.0217 (1.7919) Prec@1 57.031 (59.256) Prec@5 76.562 (80.954) Epoch: [43][5820/10010] Time 0.321 (0.326) Data 0.001 (0.001) Loss 1.5201 (1.7920) Prec@1 60.938 (59.256) Prec@5 84.375 (80.953) Epoch: [43][5830/10010] Time 0.333 (0.326) Data 0.001 (0.001) Loss 1.7204 (1.7920) Prec@1 60.938 (59.255) Prec@5 82.031 (80.954) Epoch: [43][5840/10010] Time 0.335 (0.327) Data 0.001 (0.001) Loss 1.8969 (1.7920) Prec@1 59.375 (59.255) Prec@5 82.031 (80.955) Epoch: [43][5850/10010] Time 0.338 (0.327) Data 0.001 (0.001) Loss 1.9076 (1.7920) Prec@1 56.250 (59.256) Prec@5 80.469 (80.955) Epoch: [43][5860/10010] Time 0.320 (0.327) Data 0.001 (0.001) Loss 1.6835 (1.7922) Prec@1 60.156 (59.252) Prec@5 82.031 (80.952) Epoch: [43][5870/10010] Time 0.339 (0.327) Data 0.001 (0.001) Loss 1.6400 (1.7923) Prec@1 60.156 (59.252) Prec@5 85.156 (80.953) Epoch: [43][5880/10010] Time 0.320 (0.327) Data 0.001 (0.001) Loss 1.5688 (1.7925) Prec@1 63.281 (59.247) Prec@5 85.156 (80.948) Epoch: [43][5890/10010] Time 0.336 (0.327) Data 0.001 (0.001) Loss 1.9946 (1.7924) Prec@1 56.250 (59.248) Prec@5 80.469 (80.951) Epoch: [43][5900/10010] Time 0.341 (0.327) Data 0.001 (0.001) Loss 2.1148 (1.7925) Prec@1 61.719 (59.248) Prec@5 75.000 (80.951) Epoch: [43][5910/10010] Time 0.319 (0.327) Data 0.001 (0.001) Loss 1.8392 (1.7926) Prec@1 62.500 (59.249) Prec@5 80.469 (80.949) Epoch: [43][5920/10010] Time 0.331 (0.327) Data 0.001 (0.001) Loss 1.4591 (1.7926) Prec@1 64.062 (59.249) Prec@5 85.156 (80.947) Epoch: [43][5930/10010] Time 0.339 (0.327) Data 0.001 (0.001) Loss 1.3681 (1.7926) Prec@1 73.438 (59.247) Prec@5 84.375 (80.947) Epoch: [43][5940/10010] Time 0.318 (0.327) Data 0.001 (0.001) Loss 1.9328 (1.7927) Prec@1 55.469 (59.246) Prec@5 77.344 (80.945) Epoch: [43][5950/10010] Time 0.337 (0.327) Data 0.001 (0.001) Loss 1.8782 (1.7927) Prec@1 54.688 (59.245) Prec@5 82.031 (80.946) Epoch: [43][5960/10010] Time 0.310 (0.327) Data 0.001 (0.001) Loss 1.9293 (1.7929) Prec@1 53.906 (59.242) Prec@5 80.469 (80.944) Epoch: [43][5970/10010] Time 0.344 (0.327) Data 0.000 (0.001) Loss 1.9775 (1.7930) Prec@1 53.906 (59.241) Prec@5 78.125 (80.940) Epoch: [43][5980/10010] Time 0.318 (0.327) Data 0.001 (0.001) Loss 1.9216 (1.7932) Prec@1 53.125 (59.239) Prec@5 76.562 (80.937) Epoch: [43][5990/10010] Time 0.334 (0.327) Data 0.001 (0.001) Loss 1.9084 (1.7932) Prec@1 52.344 (59.240) Prec@5 82.812 (80.938) Epoch: [43][6000/10010] Time 0.317 (0.327) Data 0.000 (0.001) Loss 1.9678 (1.7933) Prec@1 57.812 (59.238) Prec@5 76.562 (80.935) Epoch: [43][6010/10010] Time 0.329 (0.327) Data 0.001 (0.001) Loss 1.6602 (1.7934) Prec@1 58.594 (59.236) Prec@5 84.375 (80.934) Epoch: [43][6020/10010] Time 0.337 (0.327) Data 0.001 (0.001) Loss 1.8350 (1.7933) Prec@1 58.594 (59.239) Prec@5 81.250 (80.933) Epoch: [43][6030/10010] Time 0.318 (0.327) Data 0.001 (0.001) Loss 1.9886 (1.7933) Prec@1 57.812 (59.241) Prec@5 75.000 (80.933) Epoch: [43][6040/10010] Time 0.340 (0.327) Data 0.001 (0.001) Loss 1.8841 (1.7932) Prec@1 55.469 (59.243) Prec@5 80.469 (80.933) Epoch: [43][6050/10010] Time 0.324 (0.327) Data 0.001 (0.001) Loss 1.8878 (1.7934) Prec@1 53.906 (59.240) Prec@5 79.688 (80.934) Epoch: [43][6060/10010] Time 0.320 (0.327) Data 0.001 (0.001) Loss 1.9880 (1.7935) Prec@1 56.250 (59.236) Prec@5 78.125 (80.930) Epoch: [43][6070/10010] Time 0.335 (0.327) Data 0.001 (0.001) Loss 1.6386 (1.7934) Prec@1 56.250 (59.236) Prec@5 88.281 (80.932) Epoch: [43][6080/10010] Time 0.321 (0.327) Data 0.001 (0.001) Loss 2.0378 (1.7936) Prec@1 53.125 (59.232) Prec@5 78.906 (80.930) Epoch: [43][6090/10010] Time 0.339 (0.327) Data 0.001 (0.001) Loss 2.0076 (1.7937) Prec@1 60.156 (59.231) Prec@5 77.344 (80.928) Epoch: [43][6100/10010] Time 0.339 (0.327) Data 0.001 (0.001) Loss 1.9734 (1.7936) Prec@1 53.906 (59.229) Prec@5 78.906 (80.932) Epoch: [43][6110/10010] Time 0.333 (0.327) Data 0.001 (0.001) Loss 2.0190 (1.7937) Prec@1 56.250 (59.229) Prec@5 78.906 (80.931) Epoch: [43][6120/10010] Time 0.319 (0.327) Data 0.001 (0.001) Loss 2.0838 (1.7937) Prec@1 54.688 (59.228) Prec@5 74.219 (80.930) Epoch: [43][6130/10010] Time 0.338 (0.327) Data 0.001 (0.001) Loss 1.9259 (1.7937) Prec@1 59.375 (59.228) Prec@5 79.688 (80.930) Epoch: [43][6140/10010] Time 0.331 (0.327) Data 0.001 (0.001) Loss 2.0403 (1.7936) Prec@1 58.594 (59.229) Prec@5 75.000 (80.932) Epoch: [43][6150/10010] Time 0.312 (0.327) Data 0.001 (0.001) Loss 1.7974 (1.7937) Prec@1 61.719 (59.229) Prec@5 81.250 (80.932) Epoch: [43][6160/10010] Time 0.329 (0.327) Data 0.001 (0.001) Loss 2.1375 (1.7938) Prec@1 53.125 (59.226) Prec@5 73.438 (80.931) Epoch: [43][6170/10010] Time 0.337 (0.327) Data 0.001 (0.001) Loss 2.0411 (1.7939) Prec@1 57.031 (59.221) Prec@5 74.219 (80.928) Epoch: [43][6180/10010] Time 0.325 (0.327) Data 0.001 (0.001) Loss 1.5113 (1.7940) Prec@1 67.188 (59.219) Prec@5 84.375 (80.927) Epoch: [43][6190/10010] Time 0.324 (0.327) Data 0.001 (0.001) Loss 1.8209 (1.7940) Prec@1 53.125 (59.218) Prec@5 82.031 (80.928) Epoch: [43][6200/10010] Time 0.327 (0.327) Data 0.001 (0.001) Loss 1.7871 (1.7940) Prec@1 60.938 (59.218) Prec@5 81.250 (80.929) Epoch: [43][6210/10010] Time 0.317 (0.327) Data 0.001 (0.001) Loss 1.9835 (1.7940) Prec@1 53.125 (59.219) Prec@5 80.469 (80.931) Epoch: [43][6220/10010] Time 0.336 (0.327) Data 0.001 (0.001) Loss 1.7963 (1.7941) Prec@1 58.594 (59.217) Prec@5 81.250 (80.928) Epoch: [43][6230/10010] Time 0.316 (0.327) Data 0.000 (0.001) Loss 1.9952 (1.7942) Prec@1 53.125 (59.215) Prec@5 78.125 (80.927) Epoch: [43][6240/10010] Time 0.315 (0.327) Data 0.001 (0.001) Loss 1.8509 (1.7942) Prec@1 57.031 (59.213) Prec@5 78.125 (80.927) Epoch: [43][6250/10010] Time 0.335 (0.327) Data 0.001 (0.001) Loss 1.6667 (1.7941) Prec@1 57.812 (59.214) Prec@5 82.812 (80.928) Epoch: [43][6260/10010] Time 0.322 (0.327) Data 0.001 (0.001) Loss 2.0798 (1.7942) Prec@1 57.031 (59.212) Prec@5 77.344 (80.925) Epoch: [43][6270/10010] Time 0.329 (0.327) Data 0.001 (0.001) Loss 1.9200 (1.7943) Prec@1 54.688 (59.213) Prec@5 81.250 (80.925) Epoch: [43][6280/10010] Time 0.327 (0.327) Data 0.000 (0.001) Loss 1.6291 (1.7941) Prec@1 64.062 (59.214) Prec@5 83.594 (80.930) Epoch: [43][6290/10010] Time 0.321 (0.327) Data 0.001 (0.001) Loss 1.7220 (1.7941) Prec@1 61.719 (59.214) Prec@5 82.031 (80.929) Epoch: [43][6300/10010] Time 0.322 (0.327) Data 0.001 (0.001) Loss 1.6757 (1.7942) Prec@1 57.812 (59.212) Prec@5 85.156 (80.930) Epoch: [43][6310/10010] Time 0.321 (0.327) Data 0.001 (0.001) Loss 1.8493 (1.7943) Prec@1 57.812 (59.208) Prec@5 80.469 (80.927) Epoch: [43][6320/10010] Time 0.337 (0.327) Data 0.001 (0.001) Loss 1.7328 (1.7943) Prec@1 56.250 (59.209) Prec@5 81.250 (80.928) Epoch: [43][6330/10010] Time 0.313 (0.327) Data 0.001 (0.001) Loss 1.9246 (1.7943) Prec@1 55.469 (59.209) Prec@5 82.031 (80.927) Epoch: [43][6340/10010] Time 0.328 (0.327) Data 0.001 (0.001) Loss 2.0038 (1.7944) Prec@1 52.344 (59.206) Prec@5 76.562 (80.925) Epoch: [43][6350/10010] Time 0.339 (0.327) Data 0.001 (0.001) Loss 1.5091 (1.7945) Prec@1 57.031 (59.204) Prec@5 82.812 (80.924) Epoch: [43][6360/10010] Time 0.322 (0.327) Data 0.001 (0.001) Loss 1.9330 (1.7947) Prec@1 50.781 (59.201) Prec@5 73.438 (80.920) Epoch: [43][6370/10010] Time 0.332 (0.327) Data 0.001 (0.001) Loss 1.9527 (1.7946) Prec@1 54.688 (59.203) Prec@5 73.438 (80.921) Epoch: [43][6380/10010] Time 0.313 (0.327) Data 0.001 (0.001) Loss 1.6506 (1.7946) Prec@1 64.062 (59.203) Prec@5 83.594 (80.921) Epoch: [43][6390/10010] Time 0.335 (0.327) Data 0.001 (0.001) Loss 2.1503 (1.7946) Prec@1 46.875 (59.200) Prec@5 79.688 (80.922) Epoch: [43][6400/10010] Time 0.321 (0.327) Data 0.001 (0.001) Loss 1.8708 (1.7946) Prec@1 53.125 (59.199) Prec@5 78.125 (80.922) Epoch: [43][6410/10010] Time 0.329 (0.327) Data 0.001 (0.001) Loss 2.1240 (1.7947) Prec@1 51.562 (59.196) Prec@5 75.000 (80.921) Epoch: [43][6420/10010] Time 0.335 (0.327) Data 0.000 (0.001) Loss 1.8297 (1.7948) Prec@1 58.594 (59.196) Prec@5 82.812 (80.921) Epoch: [43][6430/10010] Time 0.322 (0.327) Data 0.001 (0.001) Loss 1.7466 (1.7949) Prec@1 60.156 (59.194) Prec@5 81.250 (80.919) Epoch: [43][6440/10010] Time 0.317 (0.327) Data 0.001 (0.001) Loss 1.6626 (1.7947) Prec@1 58.594 (59.197) Prec@5 82.812 (80.921) Epoch: [43][6450/10010] Time 0.324 (0.327) Data 0.001 (0.001) Loss 1.8355 (1.7948) Prec@1 53.906 (59.193) Prec@5 80.469 (80.918) Epoch: [43][6460/10010] Time 0.336 (0.327) Data 0.001 (0.001) Loss 2.0413 (1.7949) Prec@1 51.562 (59.193) Prec@5 78.125 (80.917) Epoch: [43][6470/10010] Time 0.337 (0.327) Data 0.001 (0.001) Loss 2.2176 (1.7950) Prec@1 53.906 (59.193) Prec@5 75.000 (80.917) Epoch: [43][6480/10010] Time 0.338 (0.327) Data 0.001 (0.001) Loss 1.9474 (1.7951) Prec@1 49.219 (59.189) Prec@5 78.125 (80.915) Epoch: [43][6490/10010] Time 0.319 (0.327) Data 0.001 (0.001) Loss 1.9271 (1.7953) Prec@1 54.688 (59.185) Prec@5 81.250 (80.912) Epoch: [43][6500/10010] Time 0.336 (0.327) Data 0.001 (0.001) Loss 1.9255 (1.7953) Prec@1 56.250 (59.182) Prec@5 77.344 (80.911) Epoch: [43][6510/10010] Time 0.318 (0.327) Data 0.000 (0.001) Loss 1.6237 (1.7954) Prec@1 65.625 (59.184) Prec@5 85.938 (80.911) Epoch: [43][6520/10010] Time 0.338 (0.327) Data 0.001 (0.001) Loss 1.7325 (1.7955) Prec@1 60.156 (59.183) Prec@5 82.812 (80.911) Epoch: [43][6530/10010] Time 0.323 (0.327) Data 0.000 (0.001) Loss 1.6744 (1.7955) Prec@1 59.375 (59.183) Prec@5 85.156 (80.911) Epoch: [43][6540/10010] Time 0.335 (0.327) Data 0.000 (0.001) Loss 1.7146 (1.7954) Prec@1 64.844 (59.185) Prec@5 82.812 (80.912) Epoch: [43][6550/10010] Time 0.318 (0.327) Data 0.000 (0.001) Loss 1.8173 (1.7954) Prec@1 57.812 (59.184) Prec@5 82.031 (80.912) Epoch: [43][6560/10010] Time 0.332 (0.327) Data 0.001 (0.001) Loss 1.6364 (1.7953) Prec@1 61.719 (59.186) Prec@5 83.594 (80.913) Epoch: [43][6570/10010] Time 0.321 (0.327) Data 0.001 (0.001) Loss 1.7800 (1.7955) Prec@1 54.688 (59.181) Prec@5 77.344 (80.909) Epoch: [43][6580/10010] Time 0.316 (0.327) Data 0.001 (0.001) Loss 1.5323 (1.7954) Prec@1 69.531 (59.186) Prec@5 82.812 (80.910) Epoch: [43][6590/10010] Time 0.324 (0.327) Data 0.001 (0.001) Loss 2.0984 (1.7954) Prec@1 51.562 (59.185) Prec@5 74.219 (80.908) Epoch: [43][6600/10010] Time 0.335 (0.327) Data 0.001 (0.001) Loss 1.7916 (1.7955) Prec@1 59.375 (59.186) Prec@5 81.250 (80.907) Epoch: [43][6610/10010] Time 0.327 (0.327) Data 0.001 (0.001) Loss 1.7501 (1.7955) Prec@1 55.469 (59.186) Prec@5 85.156 (80.908) Epoch: [43][6620/10010] Time 0.326 (0.327) Data 0.001 (0.001) Loss 1.6931 (1.7956) Prec@1 58.594 (59.183) Prec@5 84.375 (80.907) Epoch: [43][6630/10010] Time 0.335 (0.327) Data 0.001 (0.001) Loss 1.9790 (1.7957) Prec@1 57.031 (59.181) Prec@5 78.906 (80.906) Epoch: [43][6640/10010] Time 0.320 (0.327) Data 0.001 (0.001) Loss 1.7619 (1.7956) Prec@1 63.281 (59.184) Prec@5 85.156 (80.907) Epoch: [43][6650/10010] Time 0.338 (0.327) Data 0.001 (0.001) Loss 2.1424 (1.7957) Prec@1 50.781 (59.182) Prec@5 73.438 (80.904) Epoch: [43][6660/10010] Time 0.334 (0.327) Data 0.001 (0.001) Loss 1.7525 (1.7956) Prec@1 60.938 (59.183) Prec@5 80.469 (80.906) Epoch: [43][6670/10010] Time 0.337 (0.327) Data 0.001 (0.001) Loss 1.4673 (1.7955) Prec@1 64.844 (59.186) Prec@5 85.156 (80.908) Epoch: [43][6680/10010] Time 0.328 (0.327) Data 0.001 (0.001) Loss 1.9083 (1.7956) Prec@1 57.031 (59.186) Prec@5 76.562 (80.908) Epoch: [43][6690/10010] Time 0.322 (0.327) Data 0.001 (0.001) Loss 2.0663 (1.7958) Prec@1 60.938 (59.186) Prec@5 75.000 (80.904) Epoch: [43][6700/10010] Time 0.333 (0.327) Data 0.000 (0.001) Loss 2.1093 (1.7958) Prec@1 57.812 (59.186) Prec@5 74.219 (80.906) Epoch: [43][6710/10010] Time 0.318 (0.327) Data 0.001 (0.001) Loss 1.8798 (1.7958) Prec@1 57.812 (59.188) Prec@5 81.250 (80.906) Epoch: [43][6720/10010] Time 0.324 (0.327) Data 0.000 (0.001) Loss 2.0411 (1.7958) Prec@1 53.906 (59.186) Prec@5 72.656 (80.905) Epoch: [43][6730/10010] Time 0.308 (0.327) Data 0.001 (0.001) Loss 1.8910 (1.7958) Prec@1 53.125 (59.185) Prec@5 82.031 (80.901) Epoch: [43][6740/10010] Time 0.315 (0.327) Data 0.000 (0.001) Loss 1.7596 (1.7957) Prec@1 57.031 (59.185) Prec@5 82.031 (80.903) Epoch: [43][6750/10010] Time 0.330 (0.327) Data 0.001 (0.001) Loss 1.6288 (1.7957) Prec@1 58.594 (59.185) Prec@5 83.594 (80.904) Epoch: [43][6760/10010] Time 0.318 (0.327) Data 0.001 (0.001) Loss 1.6646 (1.7958) Prec@1 61.719 (59.183) Prec@5 82.031 (80.903) Epoch: [43][6770/10010] Time 0.325 (0.327) Data 0.000 (0.001) Loss 1.7923 (1.7959) Prec@1 60.938 (59.182) Prec@5 81.250 (80.899) Epoch: [43][6780/10010] Time 0.321 (0.327) Data 0.001 (0.001) Loss 2.0093 (1.7960) Prec@1 51.562 (59.180) Prec@5 78.125 (80.898) Epoch: [43][6790/10010] Time 0.319 (0.327) Data 0.001 (0.001) Loss 1.9465 (1.7962) Prec@1 53.125 (59.176) Prec@5 82.031 (80.897) Epoch: [43][6800/10010] Time 0.312 (0.327) Data 0.001 (0.001) Loss 1.8106 (1.7963) Prec@1 61.719 (59.172) Prec@5 78.906 (80.895) Epoch: [43][6810/10010] Time 0.326 (0.327) Data 0.001 (0.001) Loss 1.3132 (1.7963) Prec@1 69.531 (59.171) Prec@5 86.719 (80.895) Epoch: [43][6820/10010] Time 0.315 (0.327) Data 0.001 (0.001) Loss 1.8360 (1.7962) Prec@1 58.594 (59.171) Prec@5 78.125 (80.897) Epoch: [43][6830/10010] Time 0.323 (0.327) Data 0.001 (0.001) Loss 1.7614 (1.7962) Prec@1 64.062 (59.172) Prec@5 80.469 (80.895) Epoch: [43][6840/10010] Time 0.334 (0.327) Data 0.000 (0.001) Loss 2.1507 (1.7963) Prec@1 49.219 (59.172) Prec@5 77.344 (80.895) Epoch: [43][6850/10010] Time 0.320 (0.327) Data 0.000 (0.001) Loss 1.8022 (1.7964) Prec@1 58.594 (59.170) Prec@5 80.469 (80.894) Epoch: [43][6860/10010] Time 0.319 (0.327) Data 0.001 (0.001) Loss 1.8800 (1.7964) Prec@1 59.375 (59.170) Prec@5 77.344 (80.894) Epoch: [43][6870/10010] Time 0.330 (0.327) Data 0.001 (0.001) Loss 1.5667 (1.7964) Prec@1 61.719 (59.170) Prec@5 83.594 (80.893) Epoch: [43][6880/10010] Time 0.324 (0.327) Data 0.001 (0.001) Loss 1.9422 (1.7965) Prec@1 53.125 (59.167) Prec@5 76.562 (80.892) Epoch: [43][6890/10010] Time 0.335 (0.327) Data 0.001 (0.001) Loss 1.6371 (1.7965) Prec@1 61.719 (59.169) Prec@5 85.156 (80.891) Epoch: [43][6900/10010] Time 0.341 (0.327) Data 0.000 (0.001) Loss 1.6978 (1.7966) Prec@1 60.938 (59.167) Prec@5 83.594 (80.890) Epoch: [43][6910/10010] Time 0.315 (0.327) Data 0.001 (0.001) Loss 1.8144 (1.7965) Prec@1 57.812 (59.169) Prec@5 77.344 (80.890) Epoch: [43][6920/10010] Time 0.319 (0.327) Data 0.001 (0.001) Loss 1.5874 (1.7963) Prec@1 67.188 (59.174) Prec@5 87.500 (80.894) Epoch: [43][6930/10010] Time 0.321 (0.327) Data 0.001 (0.001) Loss 1.8430 (1.7962) Prec@1 60.156 (59.176) Prec@5 81.250 (80.896) Epoch: [43][6940/10010] Time 0.313 (0.327) Data 0.001 (0.001) Loss 1.7584 (1.7962) Prec@1 60.156 (59.174) Prec@5 78.906 (80.894) Epoch: [43][6950/10010] Time 0.323 (0.327) Data 0.001 (0.001) Loss 1.9177 (1.7962) Prec@1 62.500 (59.172) Prec@5 75.781 (80.892) Epoch: [43][6960/10010] Time 0.340 (0.327) Data 0.001 (0.001) Loss 2.0632 (1.7963) Prec@1 55.469 (59.170) Prec@5 73.438 (80.891) Epoch: [43][6970/10010] Time 0.330 (0.327) Data 0.001 (0.001) Loss 1.8358 (1.7963) Prec@1 62.500 (59.169) Prec@5 81.250 (80.890) Epoch: [43][6980/10010] Time 0.311 (0.327) Data 0.001 (0.001) Loss 1.8716 (1.7966) Prec@1 60.156 (59.165) Prec@5 83.594 (80.887) Epoch: [43][6990/10010] Time 0.317 (0.327) Data 0.001 (0.001) Loss 1.8209 (1.7966) Prec@1 57.812 (59.165) Prec@5 82.812 (80.888) Epoch: [43][7000/10010] Time 0.334 (0.326) Data 0.001 (0.001) Loss 1.7075 (1.7964) Prec@1 62.500 (59.168) Prec@5 84.375 (80.891) Epoch: [43][7010/10010] Time 0.321 (0.327) Data 0.001 (0.001) Loss 1.4713 (1.7964) Prec@1 62.500 (59.166) Prec@5 86.719 (80.890) Epoch: [43][7020/10010] Time 0.338 (0.326) Data 0.001 (0.001) Loss 1.7287 (1.7964) Prec@1 59.375 (59.165) Prec@5 82.812 (80.889) Epoch: [43][7030/10010] Time 0.315 (0.326) Data 0.001 (0.001) Loss 1.7228 (1.7966) Prec@1 63.281 (59.162) Prec@5 79.688 (80.887) Epoch: [43][7040/10010] Time 0.322 (0.326) Data 0.001 (0.001) Loss 2.0489 (1.7966) Prec@1 57.812 (59.161) Prec@5 78.906 (80.888) Epoch: [43][7050/10010] Time 0.338 (0.326) Data 0.000 (0.001) Loss 1.8358 (1.7967) Prec@1 55.469 (59.158) Prec@5 78.906 (80.886) Epoch: [43][7060/10010] Time 0.336 (0.326) Data 0.001 (0.001) Loss 1.9763 (1.7967) Prec@1 53.125 (59.156) Prec@5 76.562 (80.887) Epoch: [43][7070/10010] Time 0.329 (0.326) Data 0.000 (0.001) Loss 1.7683 (1.7967) Prec@1 60.938 (59.157) Prec@5 80.469 (80.886) Epoch: [43][7080/10010] Time 0.338 (0.326) Data 0.001 (0.001) Loss 1.9258 (1.7969) Prec@1 58.594 (59.153) Prec@5 79.688 (80.882) Epoch: [43][7090/10010] Time 0.333 (0.326) Data 0.000 (0.001) Loss 1.4439 (1.7967) Prec@1 64.844 (59.156) Prec@5 86.719 (80.885) Epoch: [43][7100/10010] Time 0.337 (0.326) Data 0.001 (0.001) Loss 1.7584 (1.7966) Prec@1 63.281 (59.159) Prec@5 82.031 (80.887) Epoch: [43][7110/10010] Time 0.334 (0.326) Data 0.001 (0.001) Loss 1.9007 (1.7967) Prec@1 57.031 (59.158) Prec@5 80.469 (80.887) Epoch: [43][7120/10010] Time 0.315 (0.326) Data 0.001 (0.001) Loss 1.9561 (1.7968) Prec@1 52.344 (59.156) Prec@5 77.344 (80.884) Epoch: [43][7130/10010] Time 0.317 (0.326) Data 0.001 (0.001) Loss 1.8649 (1.7968) Prec@1 53.125 (59.153) Prec@5 77.344 (80.883) Epoch: [43][7140/10010] Time 0.331 (0.326) Data 0.001 (0.001) Loss 1.9145 (1.7969) Prec@1 57.812 (59.153) Prec@5 75.000 (80.881) Epoch: [43][7150/10010] Time 0.337 (0.326) Data 0.000 (0.001) Loss 1.5576 (1.7968) Prec@1 62.500 (59.154) Prec@5 85.938 (80.882) Epoch: [43][7160/10010] Time 0.334 (0.326) Data 0.001 (0.001) Loss 1.4596 (1.7968) Prec@1 64.844 (59.155) Prec@5 88.281 (80.884) Epoch: [43][7170/10010] Time 0.337 (0.326) Data 0.001 (0.001) Loss 1.7171 (1.7967) Prec@1 60.938 (59.158) Prec@5 77.344 (80.885) Epoch: [43][7180/10010] Time 0.335 (0.326) Data 0.001 (0.001) Loss 1.7343 (1.7968) Prec@1 62.500 (59.154) Prec@5 79.688 (80.883) Epoch: [43][7190/10010] Time 0.337 (0.326) Data 0.000 (0.001) Loss 1.8796 (1.7969) Prec@1 61.719 (59.153) Prec@5 76.562 (80.881) Epoch: [43][7200/10010] Time 0.318 (0.326) Data 0.000 (0.001) Loss 1.7619 (1.7969) Prec@1 55.469 (59.155) Prec@5 80.469 (80.882) Epoch: [43][7210/10010] Time 0.334 (0.326) Data 0.001 (0.001) Loss 2.1395 (1.7970) Prec@1 52.344 (59.154) Prec@5 78.125 (80.882) Epoch: [43][7220/10010] Time 0.318 (0.326) Data 0.001 (0.001) Loss 1.6577 (1.7969) Prec@1 62.500 (59.156) Prec@5 82.031 (80.882) Epoch: [43][7230/10010] Time 0.334 (0.326) Data 0.001 (0.001) Loss 1.7025 (1.7969) Prec@1 64.062 (59.155) Prec@5 78.125 (80.883) Epoch: [43][7240/10010] Time 0.320 (0.326) Data 0.001 (0.001) Loss 1.6711 (1.7970) Prec@1 61.719 (59.154) Prec@5 79.688 (80.882) Epoch: [43][7250/10010] Time 0.330 (0.326) Data 0.000 (0.001) Loss 2.1919 (1.7970) Prec@1 51.562 (59.154) Prec@5 75.781 (80.882) Epoch: [43][7260/10010] Time 0.311 (0.326) Data 0.000 (0.001) Loss 1.7486 (1.7971) Prec@1 60.156 (59.155) Prec@5 82.031 (80.881) Epoch: [43][7270/10010] Time 0.326 (0.326) Data 0.001 (0.001) Loss 1.8600 (1.7972) Prec@1 60.156 (59.153) Prec@5 78.125 (80.879) Epoch: [43][7280/10010] Time 0.315 (0.326) Data 0.001 (0.001) Loss 1.6937 (1.7972) Prec@1 65.625 (59.153) Prec@5 79.688 (80.880) Epoch: [43][7290/10010] Time 0.321 (0.326) Data 0.001 (0.001) Loss 2.0323 (1.7973) Prec@1 55.469 (59.153) Prec@5 77.344 (80.878) Epoch: [43][7300/10010] Time 0.330 (0.326) Data 0.001 (0.001) Loss 1.9121 (1.7974) Prec@1 57.031 (59.152) Prec@5 78.125 (80.876) Epoch: [43][7310/10010] Time 0.313 (0.326) Data 0.001 (0.001) Loss 1.7374 (1.7975) Prec@1 60.938 (59.150) Prec@5 82.812 (80.874) Epoch: [43][7320/10010] Time 0.324 (0.326) Data 0.000 (0.001) Loss 1.9921 (1.7977) Prec@1 54.688 (59.146) Prec@5 75.781 (80.872) Epoch: [43][7330/10010] Time 0.326 (0.326) Data 0.001 (0.001) Loss 2.0054 (1.7978) Prec@1 55.469 (59.146) Prec@5 78.906 (80.870) Epoch: [43][7340/10010] Time 0.328 (0.326) Data 0.001 (0.001) Loss 1.9585 (1.7977) Prec@1 59.375 (59.147) Prec@5 78.906 (80.872) Epoch: [43][7350/10010] Time 0.340 (0.326) Data 0.000 (0.001) Loss 1.8507 (1.7978) Prec@1 64.062 (59.148) Prec@5 78.906 (80.871) Epoch: [43][7360/10010] Time 0.341 (0.326) Data 0.001 (0.001) Loss 1.9723 (1.7977) Prec@1 53.125 (59.147) Prec@5 75.781 (80.871) Epoch: [43][7370/10010] Time 0.331 (0.326) Data 0.000 (0.001) Loss 1.9669 (1.7977) Prec@1 48.438 (59.146) Prec@5 79.688 (80.872) Epoch: [43][7380/10010] Time 0.335 (0.326) Data 0.001 (0.001) Loss 1.6062 (1.7977) Prec@1 61.719 (59.145) Prec@5 81.250 (80.872) Epoch: [43][7390/10010] Time 0.325 (0.326) Data 0.001 (0.001) Loss 2.0198 (1.7976) Prec@1 57.031 (59.145) Prec@5 79.688 (80.874) Epoch: [43][7400/10010] Time 0.333 (0.326) Data 0.000 (0.001) Loss 1.8938 (1.7976) Prec@1 55.469 (59.141) Prec@5 78.906 (80.875) Epoch: [43][7410/10010] Time 0.333 (0.326) Data 0.001 (0.001) Loss 1.6594 (1.7975) Prec@1 60.156 (59.144) Prec@5 84.375 (80.877) Epoch: [43][7420/10010] Time 0.318 (0.326) Data 0.000 (0.001) Loss 1.6098 (1.7975) Prec@1 62.500 (59.143) Prec@5 80.469 (80.877) Epoch: [43][7430/10010] Time 0.332 (0.326) Data 0.001 (0.001) Loss 2.0513 (1.7975) Prec@1 55.469 (59.142) Prec@5 76.562 (80.877) Epoch: [43][7440/10010] Time 0.339 (0.326) Data 0.001 (0.001) Loss 1.5985 (1.7976) Prec@1 60.156 (59.141) Prec@5 84.375 (80.876) Epoch: [43][7450/10010] Time 0.321 (0.326) Data 0.001 (0.001) Loss 2.1096 (1.7977) Prec@1 48.438 (59.139) Prec@5 75.781 (80.875) Epoch: [43][7460/10010] Time 0.335 (0.326) Data 0.001 (0.001) Loss 1.6922 (1.7978) Prec@1 60.938 (59.137) Prec@5 83.594 (80.872) Epoch: [43][7470/10010] Time 0.337 (0.326) Data 0.000 (0.001) Loss 2.0130 (1.7980) Prec@1 53.906 (59.136) Prec@5 76.562 (80.870) Epoch: [43][7480/10010] Time 0.334 (0.326) Data 0.001 (0.001) Loss 1.9594 (1.7982) Prec@1 58.594 (59.134) Prec@5 80.469 (80.869) Epoch: [43][7490/10010] Time 0.341 (0.327) Data 0.001 (0.001) Loss 1.4347 (1.7981) Prec@1 67.969 (59.137) Prec@5 87.500 (80.870) Epoch: [43][7500/10010] Time 0.340 (0.327) Data 0.000 (0.001) Loss 1.8482 (1.7981) Prec@1 58.594 (59.135) Prec@5 82.031 (80.870) Epoch: [43][7510/10010] Time 0.320 (0.327) Data 0.001 (0.001) Loss 1.6783 (1.7981) Prec@1 60.156 (59.134) Prec@5 84.375 (80.870) Epoch: [43][7520/10010] Time 0.323 (0.327) Data 0.000 (0.001) Loss 1.7879 (1.7981) Prec@1 60.156 (59.131) Prec@5 84.375 (80.870) Epoch: [43][7530/10010] Time 0.318 (0.327) Data 0.001 (0.001) Loss 1.8632 (1.7982) Prec@1 53.125 (59.131) Prec@5 78.125 (80.871) Epoch: [43][7540/10010] Time 0.335 (0.327) Data 0.001 (0.001) Loss 1.8348 (1.7981) Prec@1 64.062 (59.132) Prec@5 81.250 (80.871) Epoch: [43][7550/10010] Time 0.341 (0.327) Data 0.001 (0.001) Loss 1.9428 (1.7983) Prec@1 64.062 (59.131) Prec@5 76.562 (80.867) Epoch: [43][7560/10010] Time 0.334 (0.327) Data 0.001 (0.001) Loss 1.7858 (1.7984) Prec@1 57.031 (59.128) Prec@5 80.469 (80.866) Epoch: [43][7570/10010] Time 0.333 (0.327) Data 0.001 (0.001) Loss 2.1457 (1.7983) Prec@1 58.594 (59.131) Prec@5 77.344 (80.867) Epoch: [43][7580/10010] Time 0.334 (0.327) Data 0.001 (0.001) Loss 1.9675 (1.7983) Prec@1 52.344 (59.132) Prec@5 81.250 (80.868) Epoch: [43][7590/10010] Time 0.322 (0.327) Data 0.000 (0.001) Loss 1.9519 (1.7983) Prec@1 61.719 (59.132) Prec@5 78.125 (80.867) Epoch: [43][7600/10010] Time 0.338 (0.327) Data 0.001 (0.001) Loss 2.0527 (1.7983) Prec@1 54.688 (59.133) Prec@5 78.906 (80.866) Epoch: [43][7610/10010] Time 0.329 (0.327) Data 0.001 (0.001) Loss 1.8345 (1.7984) Prec@1 57.812 (59.133) Prec@5 82.031 (80.865) Epoch: [43][7620/10010] Time 0.329 (0.327) Data 0.000 (0.001) Loss 1.9573 (1.7985) Prec@1 61.719 (59.131) Prec@5 76.562 (80.864) Epoch: [43][7630/10010] Time 0.328 (0.327) Data 0.000 (0.001) Loss 2.2675 (1.7986) Prec@1 56.250 (59.130) Prec@5 78.125 (80.864) Epoch: [43][7640/10010] Time 0.339 (0.327) Data 0.001 (0.001) Loss 1.6575 (1.7987) Prec@1 60.938 (59.127) Prec@5 83.594 (80.862) Epoch: [43][7650/10010] Time 0.312 (0.327) Data 0.001 (0.001) Loss 1.9930 (1.7988) Prec@1 49.219 (59.123) Prec@5 77.344 (80.860) Epoch: [43][7660/10010] Time 0.341 (0.327) Data 0.001 (0.001) Loss 2.2326 (1.7988) Prec@1 47.656 (59.123) Prec@5 68.750 (80.859) Epoch: [43][7670/10010] Time 0.338 (0.327) Data 0.001 (0.001) Loss 1.9206 (1.7988) Prec@1 54.688 (59.121) Prec@5 80.469 (80.860) Epoch: [43][7680/10010] Time 0.336 (0.327) Data 0.001 (0.001) Loss 1.9787 (1.7989) Prec@1 55.469 (59.119) Prec@5 81.250 (80.859) Epoch: [43][7690/10010] Time 0.336 (0.327) Data 0.000 (0.001) Loss 1.8220 (1.7990) Prec@1 58.594 (59.119) Prec@5 79.688 (80.858) Epoch: [43][7700/10010] Time 0.338 (0.327) Data 0.001 (0.001) Loss 1.4938 (1.7990) Prec@1 69.531 (59.120) Prec@5 83.594 (80.858) Epoch: [43][7710/10010] Time 0.325 (0.327) Data 0.001 (0.001) Loss 1.8513 (1.7991) Prec@1 59.375 (59.120) Prec@5 81.250 (80.856) Epoch: [43][7720/10010] Time 0.319 (0.327) Data 0.001 (0.001) Loss 1.7081 (1.7991) Prec@1 62.500 (59.121) Prec@5 82.031 (80.858) Epoch: [43][7730/10010] Time 0.320 (0.327) Data 0.000 (0.001) Loss 1.4342 (1.7991) Prec@1 73.438 (59.122) Prec@5 85.938 (80.857) Epoch: [43][7740/10010] Time 0.330 (0.327) Data 0.001 (0.001) Loss 1.7175 (1.7990) Prec@1 58.594 (59.123) Prec@5 82.031 (80.857) Epoch: [43][7750/10010] Time 0.349 (0.327) Data 0.001 (0.001) Loss 1.8848 (1.7990) Prec@1 53.906 (59.125) Prec@5 81.250 (80.857) Epoch: [43][7760/10010] Time 0.341 (0.327) Data 0.001 (0.001) Loss 2.2334 (1.7992) Prec@1 50.781 (59.122) Prec@5 75.000 (80.853) Epoch: [43][7770/10010] Time 0.330 (0.327) Data 0.000 (0.001) Loss 1.7704 (1.7990) Prec@1 58.594 (59.123) Prec@5 83.594 (80.856) Epoch: [43][7780/10010] Time 0.332 (0.327) Data 0.003 (0.001) Loss 1.7260 (1.7992) Prec@1 60.156 (59.120) Prec@5 85.156 (80.854) Epoch: [43][7790/10010] Time 0.331 (0.327) Data 0.001 (0.001) Loss 1.7724 (1.7991) Prec@1 59.375 (59.119) Prec@5 79.688 (80.854) Epoch: [43][7800/10010] Time 0.336 (0.327) Data 0.001 (0.001) Loss 1.6245 (1.7992) Prec@1 60.156 (59.116) Prec@5 83.594 (80.852) Epoch: [43][7810/10010] Time 0.326 (0.327) Data 0.001 (0.001) Loss 1.7911 (1.7991) Prec@1 64.844 (59.115) Prec@5 81.250 (80.851) Epoch: [43][7820/10010] Time 0.333 (0.327) Data 0.000 (0.001) Loss 1.7974 (1.7990) Prec@1 58.594 (59.116) Prec@5 78.906 (80.853) Epoch: [43][7830/10010] Time 0.326 (0.327) Data 0.000 (0.001) Loss 1.5250 (1.7989) Prec@1 56.250 (59.115) Prec@5 86.719 (80.854) Epoch: [43][7840/10010] Time 0.328 (0.327) Data 0.001 (0.001) Loss 2.1287 (1.7989) Prec@1 50.000 (59.116) Prec@5 76.562 (80.855) Epoch: [43][7850/10010] Time 0.339 (0.327) Data 0.004 (0.001) Loss 1.5063 (1.7989) Prec@1 62.500 (59.115) Prec@5 86.719 (80.856) Epoch: [43][7860/10010] Time 0.326 (0.327) Data 0.000 (0.001) Loss 2.2552 (1.7990) Prec@1 52.344 (59.110) Prec@5 73.438 (80.853) Epoch: [43][7870/10010] Time 0.331 (0.327) Data 0.001 (0.001) Loss 1.6508 (1.7992) Prec@1 62.500 (59.107) Prec@5 80.469 (80.853) Epoch: [43][7880/10010] Time 0.333 (0.327) Data 0.001 (0.001) Loss 1.7425 (1.7991) Prec@1 59.375 (59.106) Prec@5 81.250 (80.853) Epoch: [43][7890/10010] Time 0.335 (0.327) Data 0.001 (0.001) Loss 1.5832 (1.7992) Prec@1 56.250 (59.105) Prec@5 86.719 (80.854) Epoch: [43][7900/10010] Time 0.317 (0.327) Data 0.001 (0.001) Loss 1.8171 (1.7992) Prec@1 53.906 (59.103) Prec@5 82.031 (80.854) Epoch: [43][7910/10010] Time 0.320 (0.327) Data 0.000 (0.001) Loss 1.9520 (1.7992) Prec@1 56.250 (59.101) Prec@5 81.250 (80.856) Epoch: [43][7920/10010] Time 0.337 (0.327) Data 0.001 (0.001) Loss 1.9119 (1.7992) Prec@1 60.156 (59.103) Prec@5 81.250 (80.856) Epoch: [43][7930/10010] Time 0.334 (0.327) Data 0.000 (0.001) Loss 1.7777 (1.7993) Prec@1 59.375 (59.099) Prec@5 83.594 (80.855) Epoch: [43][7940/10010] Time 0.349 (0.327) Data 0.001 (0.001) Loss 1.9269 (1.7993) Prec@1 60.156 (59.100) Prec@5 78.906 (80.857) Epoch: [43][7950/10010] Time 0.338 (0.327) Data 0.001 (0.001) Loss 1.8367 (1.7992) Prec@1 56.250 (59.101) Prec@5 78.906 (80.857) Epoch: [43][7960/10010] Time 0.315 (0.327) Data 0.000 (0.001) Loss 2.1530 (1.7993) Prec@1 54.688 (59.099) Prec@5 78.906 (80.856) Epoch: [43][7970/10010] Time 0.331 (0.327) Data 0.001 (0.001) Loss 1.7375 (1.7994) Prec@1 58.594 (59.098) Prec@5 77.344 (80.854) Epoch: [43][7980/10010] Time 0.336 (0.327) Data 0.000 (0.001) Loss 2.0033 (1.7995) Prec@1 57.812 (59.096) Prec@5 74.219 (80.854) Epoch: [43][7990/10010] Time 0.319 (0.327) Data 0.001 (0.001) Loss 1.8503 (1.7994) Prec@1 55.469 (59.097) Prec@5 78.125 (80.856) Epoch: [43][8000/10010] Time 0.335 (0.327) Data 0.001 (0.001) Loss 1.8580 (1.7994) Prec@1 59.375 (59.096) Prec@5 78.125 (80.854) Epoch: [43][8010/10010] Time 0.341 (0.327) Data 0.000 (0.001) Loss 1.6148 (1.7994) Prec@1 64.062 (59.097) Prec@5 81.250 (80.854) Epoch: [43][8020/10010] Time 0.312 (0.327) Data 0.001 (0.001) Loss 1.5199 (1.7995) Prec@1 58.594 (59.096) Prec@5 85.938 (80.853) Epoch: [43][8030/10010] Time 0.322 (0.327) Data 0.001 (0.001) Loss 2.2874 (1.7996) Prec@1 49.219 (59.095) Prec@5 69.531 (80.851) Epoch: [43][8040/10010] Time 0.329 (0.327) Data 0.001 (0.001) Loss 2.0058 (1.7997) Prec@1 54.688 (59.093) Prec@5 78.906 (80.847) Epoch: [43][8050/10010] Time 0.337 (0.327) Data 0.001 (0.001) Loss 1.8625 (1.7998) Prec@1 58.594 (59.092) Prec@5 80.469 (80.848) Epoch: [43][8060/10010] Time 0.318 (0.327) Data 0.001 (0.001) Loss 2.1869 (1.7999) Prec@1 54.688 (59.090) Prec@5 72.656 (80.847) Epoch: [43][8070/10010] Time 0.321 (0.327) Data 0.001 (0.001) Loss 1.8326 (1.7999) Prec@1 57.031 (59.092) Prec@5 79.688 (80.848) Epoch: [43][8080/10010] Time 0.314 (0.327) Data 0.000 (0.001) Loss 1.9875 (1.7998) Prec@1 54.688 (59.093) Prec@5 78.125 (80.850) Epoch: [43][8090/10010] Time 0.317 (0.327) Data 0.001 (0.001) Loss 1.4849 (1.7997) Prec@1 66.406 (59.096) Prec@5 83.594 (80.853) Epoch: [43][8100/10010] Time 0.325 (0.327) Data 0.001 (0.001) Loss 1.8839 (1.7997) Prec@1 54.688 (59.094) Prec@5 78.125 (80.851) Epoch: [43][8110/10010] Time 0.340 (0.327) Data 0.001 (0.001) Loss 1.5376 (1.7998) Prec@1 60.156 (59.093) Prec@5 84.375 (80.850) Epoch: [43][8120/10010] Time 0.318 (0.327) Data 0.001 (0.001) Loss 1.6184 (1.7999) Prec@1 59.375 (59.093) Prec@5 79.688 (80.847) Epoch: [43][8130/10010] Time 0.331 (0.327) Data 0.001 (0.001) Loss 1.8738 (1.7999) Prec@1 58.594 (59.092) Prec@5 78.125 (80.847) Epoch: [43][8140/10010] Time 0.314 (0.327) Data 0.001 (0.001) Loss 1.8057 (1.8000) Prec@1 60.938 (59.090) Prec@5 78.125 (80.844) Epoch: [43][8150/10010] Time 0.314 (0.327) Data 0.000 (0.001) Loss 1.8724 (1.8000) Prec@1 60.938 (59.092) Prec@5 80.469 (80.846) Epoch: [43][8160/10010] Time 0.305 (0.327) Data 0.001 (0.001) Loss 1.9020 (1.8000) Prec@1 54.688 (59.090) Prec@5 80.469 (80.846) Epoch: [43][8170/10010] Time 0.319 (0.327) Data 0.001 (0.001) Loss 2.2081 (1.8001) Prec@1 50.781 (59.088) Prec@5 75.000 (80.846) Epoch: [43][8180/10010] Time 0.311 (0.327) Data 0.000 (0.001) Loss 1.9955 (1.8001) Prec@1 55.469 (59.087) Prec@5 76.562 (80.845) Epoch: [43][8190/10010] Time 0.332 (0.327) Data 0.001 (0.001) Loss 1.5278 (1.8001) Prec@1 65.625 (59.089) Prec@5 83.594 (80.845) Epoch: [43][8200/10010] Time 0.324 (0.327) Data 0.001 (0.001) Loss 1.9026 (1.8001) Prec@1 52.344 (59.089) Prec@5 75.781 (80.845) Epoch: [43][8210/10010] Time 0.324 (0.327) Data 0.001 (0.001) Loss 1.8776 (1.8001) Prec@1 56.250 (59.089) Prec@5 77.344 (80.844) Epoch: [43][8220/10010] Time 0.337 (0.327) Data 0.001 (0.001) Loss 1.5946 (1.8002) Prec@1 61.719 (59.087) Prec@5 85.156 (80.843) Epoch: [43][8230/10010] Time 0.338 (0.327) Data 0.001 (0.001) Loss 2.2075 (1.8004) Prec@1 52.344 (59.084) Prec@5 76.562 (80.841) Epoch: [43][8240/10010] Time 0.313 (0.327) Data 0.001 (0.001) Loss 1.6947 (1.8004) Prec@1 64.062 (59.085) Prec@5 87.500 (80.840) Epoch: [43][8250/10010] Time 0.329 (0.327) Data 0.000 (0.001) Loss 1.9548 (1.8005) Prec@1 53.906 (59.084) Prec@5 79.688 (80.839) Epoch: [43][8260/10010] Time 0.333 (0.327) Data 0.001 (0.001) Loss 2.1670 (1.8007) Prec@1 51.562 (59.082) Prec@5 75.000 (80.837) Epoch: [43][8270/10010] Time 0.327 (0.327) Data 0.001 (0.001) Loss 1.9715 (1.8007) Prec@1 59.375 (59.083) Prec@5 77.344 (80.837) Epoch: [43][8280/10010] Time 0.314 (0.327) Data 0.001 (0.001) Loss 1.9088 (1.8007) Prec@1 56.250 (59.084) Prec@5 80.469 (80.838) Epoch: [43][8290/10010] Time 0.340 (0.327) Data 0.001 (0.001) Loss 1.6468 (1.8006) Prec@1 57.031 (59.084) Prec@5 82.031 (80.839) Epoch: [43][8300/10010] Time 0.337 (0.327) Data 0.001 (0.001) Loss 1.8905 (1.8007) Prec@1 57.812 (59.082) Prec@5 78.906 (80.837) Epoch: [43][8310/10010] Time 0.317 (0.327) Data 0.001 (0.001) Loss 1.7844 (1.8007) Prec@1 60.938 (59.083) Prec@5 81.250 (80.836) Epoch: [43][8320/10010] Time 0.315 (0.327) Data 0.001 (0.001) Loss 1.6123 (1.8007) Prec@1 61.719 (59.083) Prec@5 84.375 (80.837) Epoch: [43][8330/10010] Time 0.322 (0.327) Data 0.000 (0.001) Loss 1.7630 (1.8007) Prec@1 60.156 (59.084) Prec@5 79.688 (80.836) Epoch: [43][8340/10010] Time 0.321 (0.327) Data 0.001 (0.001) Loss 1.4714 (1.8007) Prec@1 68.750 (59.086) Prec@5 88.281 (80.836) Epoch: [43][8350/10010] Time 0.335 (0.327) Data 0.001 (0.001) Loss 1.7175 (1.8006) Prec@1 64.062 (59.086) Prec@5 82.031 (80.837) Epoch: [43][8360/10010] Time 0.316 (0.327) Data 0.001 (0.001) Loss 2.1108 (1.8006) Prec@1 46.875 (59.085) Prec@5 78.906 (80.838) Epoch: [43][8370/10010] Time 0.325 (0.327) Data 0.000 (0.001) Loss 1.7050 (1.8006) Prec@1 65.625 (59.084) Prec@5 82.031 (80.838) Epoch: [43][8380/10010] Time 0.307 (0.327) Data 0.001 (0.001) Loss 1.7477 (1.8005) Prec@1 55.469 (59.084) Prec@5 85.156 (80.841) Epoch: [43][8390/10010] Time 0.336 (0.327) Data 0.001 (0.001) Loss 1.8605 (1.8006) Prec@1 56.250 (59.084) Prec@5 83.594 (80.840) Epoch: [43][8400/10010] Time 0.334 (0.327) Data 0.000 (0.001) Loss 1.9530 (1.8007) Prec@1 54.688 (59.082) Prec@5 75.781 (80.838) Epoch: [43][8410/10010] Time 0.336 (0.327) Data 0.001 (0.001) Loss 1.6904 (1.8008) Prec@1 60.938 (59.080) Prec@5 80.469 (80.835) Epoch: [43][8420/10010] Time 0.323 (0.327) Data 0.001 (0.001) Loss 1.7682 (1.8008) Prec@1 62.500 (59.081) Prec@5 78.906 (80.836) Epoch: [43][8430/10010] Time 0.312 (0.327) Data 0.000 (0.001) Loss 2.0121 (1.8009) Prec@1 58.594 (59.078) Prec@5 75.781 (80.835) Epoch: [43][8440/10010] Time 0.334 (0.327) Data 0.001 (0.001) Loss 2.1592 (1.8011) Prec@1 46.875 (59.073) Prec@5 75.781 (80.831) Epoch: [43][8450/10010] Time 0.323 (0.327) Data 0.001 (0.001) Loss 1.8423 (1.8011) Prec@1 61.719 (59.076) Prec@5 79.688 (80.833) Epoch: [43][8460/10010] Time 0.332 (0.327) Data 0.001 (0.001) Loss 1.9885 (1.8011) Prec@1 52.344 (59.073) Prec@5 76.562 (80.831) Epoch: [43][8470/10010] Time 0.338 (0.327) Data 0.001 (0.001) Loss 1.5844 (1.8012) Prec@1 63.281 (59.073) Prec@5 84.375 (80.831) Epoch: [43][8480/10010] Time 0.322 (0.327) Data 0.002 (0.001) Loss 2.0625 (1.8011) Prec@1 47.656 (59.074) Prec@5 77.344 (80.833) Epoch: [43][8490/10010] Time 0.327 (0.327) Data 0.001 (0.001) Loss 1.4741 (1.8012) Prec@1 64.844 (59.071) Prec@5 85.938 (80.831) Epoch: [43][8500/10010] Time 0.315 (0.327) Data 0.001 (0.001) Loss 1.6469 (1.8012) Prec@1 62.500 (59.071) Prec@5 82.812 (80.832) Epoch: [43][8510/10010] Time 0.314 (0.327) Data 0.001 (0.001) Loss 1.8751 (1.8013) Prec@1 54.688 (59.068) Prec@5 82.031 (80.832) Epoch: [43][8520/10010] Time 0.334 (0.327) Data 0.001 (0.001) Loss 1.8305 (1.8013) Prec@1 57.031 (59.067) Prec@5 80.469 (80.830) Epoch: [43][8530/10010] Time 0.332 (0.327) Data 0.000 (0.001) Loss 1.4544 (1.8013) Prec@1 63.281 (59.067) Prec@5 86.719 (80.831) Epoch: [43][8540/10010] Time 0.330 (0.327) Data 0.001 (0.001) Loss 1.3951 (1.8013) Prec@1 63.281 (59.066) Prec@5 86.719 (80.829) Epoch: [43][8550/10010] Time 0.330 (0.327) Data 0.001 (0.001) Loss 1.9301 (1.8014) Prec@1 51.562 (59.062) Prec@5 79.688 (80.827) Epoch: [43][8560/10010] Time 0.342 (0.327) Data 0.000 (0.001) Loss 1.7851 (1.8015) Prec@1 57.031 (59.060) Prec@5 84.375 (80.827) Epoch: [43][8570/10010] Time 0.330 (0.327) Data 0.000 (0.001) Loss 1.6038 (1.8013) Prec@1 60.156 (59.063) Prec@5 83.594 (80.829) Epoch: [43][8580/10010] Time 0.314 (0.327) Data 0.000 (0.001) Loss 1.7576 (1.8014) Prec@1 58.594 (59.062) Prec@5 83.594 (80.829) Epoch: [43][8590/10010] Time 0.336 (0.327) Data 0.001 (0.001) Loss 1.6806 (1.8014) Prec@1 66.406 (59.063) Prec@5 78.906 (80.829) Epoch: [43][8600/10010] Time 0.319 (0.327) Data 0.001 (0.001) Loss 2.1966 (1.8015) Prec@1 49.219 (59.061) Prec@5 75.000 (80.827) Epoch: [43][8610/10010] Time 0.319 (0.327) Data 0.001 (0.001) Loss 2.0559 (1.8014) Prec@1 57.031 (59.060) Prec@5 80.469 (80.828) Epoch: [43][8620/10010] Time 0.314 (0.327) Data 0.001 (0.001) Loss 1.7577 (1.8015) Prec@1 60.938 (59.057) Prec@5 78.906 (80.827) Epoch: [43][8630/10010] Time 0.319 (0.327) Data 0.001 (0.001) Loss 1.7415 (1.8014) Prec@1 62.500 (59.057) Prec@5 84.375 (80.830) Epoch: [43][8640/10010] Time 0.317 (0.327) Data 0.001 (0.001) Loss 1.7519 (1.8014) Prec@1 58.594 (59.057) Prec@5 80.469 (80.832) Epoch: [43][8650/10010] Time 0.331 (0.327) Data 0.001 (0.001) Loss 1.7536 (1.8014) Prec@1 64.844 (59.058) Prec@5 80.469 (80.832) Epoch: [43][8660/10010] Time 0.324 (0.327) Data 0.001 (0.001) Loss 1.9380 (1.8014) Prec@1 55.469 (59.059) Prec@5 74.219 (80.832) Epoch: [43][8670/10010] Time 0.327 (0.327) Data 0.001 (0.001) Loss 1.7417 (1.8013) Prec@1 62.500 (59.059) Prec@5 79.688 (80.832) Epoch: [43][8680/10010] Time 0.332 (0.327) Data 0.000 (0.001) Loss 1.8840 (1.8014) Prec@1 58.594 (59.059) Prec@5 77.344 (80.831) Epoch: [43][8690/10010] Time 0.314 (0.327) Data 0.001 (0.001) Loss 1.7341 (1.8015) Prec@1 58.594 (59.057) Prec@5 77.344 (80.828) Epoch: [43][8700/10010] Time 0.336 (0.327) Data 0.001 (0.001) Loss 1.7462 (1.8016) Prec@1 60.938 (59.057) Prec@5 83.594 (80.827) Epoch: [43][8710/10010] Time 0.320 (0.327) Data 0.001 (0.001) Loss 1.8375 (1.8016) Prec@1 61.719 (59.054) Prec@5 82.031 (80.827) Epoch: [43][8720/10010] Time 0.332 (0.327) Data 0.001 (0.001) Loss 1.9003 (1.8016) Prec@1 53.906 (59.056) Prec@5 79.688 (80.829) Epoch: [43][8730/10010] Time 0.335 (0.327) Data 0.001 (0.001) Loss 1.5847 (1.8016) Prec@1 60.156 (59.059) Prec@5 82.031 (80.828) Epoch: [43][8740/10010] Time 0.318 (0.327) Data 0.001 (0.001) Loss 1.7472 (1.8016) Prec@1 57.812 (59.058) Prec@5 83.594 (80.828) Epoch: [43][8750/10010] Time 0.320 (0.327) Data 0.001 (0.001) Loss 1.6367 (1.8017) Prec@1 57.031 (59.057) Prec@5 84.375 (80.827) Epoch: [43][8760/10010] Time 0.333 (0.327) Data 0.001 (0.001) Loss 1.8703 (1.8017) Prec@1 60.156 (59.056) Prec@5 81.250 (80.827) Epoch: [43][8770/10010] Time 0.320 (0.327) Data 0.001 (0.001) Loss 1.7509 (1.8016) Prec@1 60.156 (59.056) Prec@5 80.469 (80.829) Epoch: [43][8780/10010] Time 0.322 (0.327) Data 0.001 (0.001) Loss 1.5710 (1.8016) Prec@1 64.062 (59.056) Prec@5 85.156 (80.830) Epoch: [43][8790/10010] Time 0.322 (0.327) Data 0.001 (0.001) Loss 2.1635 (1.8018) Prec@1 57.812 (59.054) Prec@5 75.781 (80.829) Epoch: [43][8800/10010] Time 0.324 (0.327) Data 0.001 (0.001) Loss 1.7521 (1.8017) Prec@1 59.375 (59.054) Prec@5 80.469 (80.829) Epoch: [43][8810/10010] Time 0.324 (0.327) Data 0.001 (0.001) Loss 1.9858 (1.8017) Prec@1 57.812 (59.055) Prec@5 78.125 (80.829) Epoch: [43][8820/10010] Time 0.334 (0.327) Data 0.001 (0.001) Loss 2.1156 (1.8017) Prec@1 53.125 (59.055) Prec@5 75.781 (80.829) Epoch: [43][8830/10010] Time 0.337 (0.327) Data 0.001 (0.001) Loss 1.7838 (1.8017) Prec@1 62.500 (59.056) Prec@5 81.250 (80.830) Epoch: [43][8840/10010] Time 0.343 (0.327) Data 0.000 (0.001) Loss 1.7807 (1.8017) Prec@1 57.031 (59.055) Prec@5 79.688 (80.830) Epoch: [43][8850/10010] Time 0.333 (0.327) Data 0.001 (0.001) Loss 1.6806 (1.8018) Prec@1 61.719 (59.053) Prec@5 80.469 (80.829) Epoch: [43][8860/10010] Time 0.320 (0.327) Data 0.001 (0.001) Loss 2.0475 (1.8018) Prec@1 60.938 (59.054) Prec@5 75.781 (80.828) Epoch: [43][8870/10010] Time 0.319 (0.327) Data 0.001 (0.001) Loss 1.6133 (1.8017) Prec@1 67.188 (59.056) Prec@5 82.031 (80.828) Epoch: [43][8880/10010] Time 0.334 (0.327) Data 0.001 (0.001) Loss 1.7897 (1.8017) Prec@1 60.156 (59.055) Prec@5 83.594 (80.828) Epoch: [43][8890/10010] Time 0.315 (0.327) Data 0.000 (0.001) Loss 1.8170 (1.8017) Prec@1 57.031 (59.054) Prec@5 82.812 (80.830) Epoch: [43][8900/10010] Time 0.317 (0.327) Data 0.001 (0.001) Loss 1.4284 (1.8016) Prec@1 67.188 (59.056) Prec@5 87.500 (80.829) Epoch: [43][8910/10010] Time 0.331 (0.327) Data 0.000 (0.001) Loss 1.4326 (1.8015) Prec@1 62.500 (59.057) Prec@5 87.500 (80.831) Epoch: [43][8920/10010] Time 0.333 (0.327) Data 0.001 (0.001) Loss 2.0111 (1.8015) Prec@1 58.594 (59.058) Prec@5 78.125 (80.831) Epoch: [43][8930/10010] Time 0.323 (0.327) Data 0.001 (0.001) Loss 1.6947 (1.8014) Prec@1 64.844 (59.060) Prec@5 82.031 (80.833) Epoch: [43][8940/10010] Time 0.327 (0.327) Data 0.001 (0.001) Loss 1.8858 (1.8014) Prec@1 59.375 (59.060) Prec@5 80.469 (80.832) Epoch: [43][8950/10010] Time 0.319 (0.327) Data 0.001 (0.001) Loss 1.8543 (1.8014) Prec@1 57.812 (59.059) Prec@5 80.469 (80.832) Epoch: [43][8960/10010] Time 0.318 (0.327) Data 0.001 (0.001) Loss 1.6754 (1.8015) Prec@1 59.375 (59.058) Prec@5 80.469 (80.831) Epoch: [43][8970/10010] Time 0.339 (0.327) Data 0.001 (0.001) Loss 1.7542 (1.8015) Prec@1 58.594 (59.057) Prec@5 82.031 (80.833) Epoch: [43][8980/10010] Time 0.326 (0.327) Data 0.001 (0.001) Loss 1.5768 (1.8016) Prec@1 63.281 (59.055) Prec@5 79.688 (80.833) Epoch: [43][8990/10010] Time 0.312 (0.327) Data 0.001 (0.001) Loss 1.8378 (1.8017) Prec@1 60.938 (59.052) Prec@5 78.125 (80.831) Epoch: [43][9000/10010] Time 0.324 (0.327) Data 0.001 (0.001) Loss 1.9917 (1.8018) Prec@1 58.594 (59.050) Prec@5 82.031 (80.832) Epoch: [43][9010/10010] Time 0.313 (0.327) Data 0.001 (0.001) Loss 1.9874 (1.8019) Prec@1 54.688 (59.048) Prec@5 78.125 (80.830) Epoch: [43][9020/10010] Time 0.327 (0.327) Data 0.001 (0.001) Loss 1.6825 (1.8018) Prec@1 60.938 (59.050) Prec@5 84.375 (80.831) Epoch: [43][9030/10010] Time 0.323 (0.327) Data 0.001 (0.001) Loss 1.8610 (1.8017) Prec@1 53.906 (59.050) Prec@5 80.469 (80.831) Epoch: [43][9040/10010] Time 0.314 (0.327) Data 0.000 (0.001) Loss 2.0620 (1.8018) Prec@1 56.250 (59.049) Prec@5 75.000 (80.828) Epoch: [43][9050/10010] Time 0.318 (0.327) Data 0.001 (0.001) Loss 1.7639 (1.8019) Prec@1 59.375 (59.049) Prec@5 78.906 (80.827) Epoch: [43][9060/10010] Time 0.322 (0.327) Data 0.001 (0.001) Loss 1.7993 (1.8019) Prec@1 59.375 (59.048) Prec@5 81.250 (80.827) Epoch: [43][9070/10010] Time 0.325 (0.327) Data 0.001 (0.001) Loss 2.0299 (1.8020) Prec@1 56.250 (59.047) Prec@5 76.562 (80.827) Epoch: [43][9080/10010] Time 0.315 (0.327) Data 0.001 (0.001) Loss 1.6140 (1.8021) Prec@1 59.375 (59.045) Prec@5 85.156 (80.825) Epoch: [43][9090/10010] Time 0.331 (0.327) Data 0.001 (0.001) Loss 1.8277 (1.8022) Prec@1 56.250 (59.041) Prec@5 81.250 (80.823) Epoch: [43][9100/10010] Time 0.325 (0.327) Data 0.001 (0.001) Loss 1.9859 (1.8022) Prec@1 54.688 (59.041) Prec@5 78.906 (80.823) Epoch: [43][9110/10010] Time 0.335 (0.327) Data 0.001 (0.001) Loss 2.1348 (1.8023) Prec@1 53.125 (59.040) Prec@5 78.125 (80.821) Epoch: [43][9120/10010] Time 0.320 (0.327) Data 0.001 (0.001) Loss 1.8982 (1.8023) Prec@1 56.250 (59.040) Prec@5 78.906 (80.821) Epoch: [43][9130/10010] Time 0.319 (0.327) Data 0.000 (0.001) Loss 1.6423 (1.8025) Prec@1 64.062 (59.035) Prec@5 82.031 (80.819) Epoch: [43][9140/10010] Time 0.321 (0.327) Data 0.000 (0.001) Loss 1.6482 (1.8025) Prec@1 62.500 (59.033) Prec@5 81.250 (80.817) Epoch: [43][9150/10010] Time 0.335 (0.327) Data 0.001 (0.001) Loss 2.0462 (1.8026) Prec@1 50.000 (59.032) Prec@5 75.781 (80.817) Epoch: [43][9160/10010] Time 0.317 (0.327) Data 0.001 (0.001) Loss 1.7375 (1.8026) Prec@1 64.844 (59.033) Prec@5 82.812 (80.817) Epoch: [43][9170/10010] Time 0.323 (0.327) Data 0.000 (0.001) Loss 1.6371 (1.8027) Prec@1 67.188 (59.032) Prec@5 84.375 (80.816) Epoch: [43][9180/10010] Time 0.323 (0.327) Data 0.000 (0.001) Loss 1.8113 (1.8026) Prec@1 53.906 (59.031) Prec@5 78.906 (80.817) Epoch: [43][9190/10010] Time 0.335 (0.327) Data 0.001 (0.001) Loss 2.4668 (1.8027) Prec@1 45.312 (59.029) Prec@5 67.188 (80.816) Epoch: [43][9200/10010] Time 0.325 (0.327) Data 0.001 (0.001) Loss 2.0400 (1.8029) Prec@1 53.906 (59.025) Prec@5 77.344 (80.813) Epoch: [43][9210/10010] Time 0.316 (0.327) Data 0.001 (0.001) Loss 1.8973 (1.8029) Prec@1 57.031 (59.025) Prec@5 82.031 (80.814) Epoch: [43][9220/10010] Time 0.320 (0.327) Data 0.001 (0.001) Loss 1.6280 (1.8029) Prec@1 61.719 (59.026) Prec@5 84.375 (80.815) Epoch: [43][9230/10010] Time 0.327 (0.327) Data 0.000 (0.001) Loss 1.7044 (1.8029) Prec@1 56.250 (59.025) Prec@5 82.031 (80.814) Epoch: [43][9240/10010] Time 0.339 (0.327) Data 0.000 (0.001) Loss 1.4918 (1.8029) Prec@1 65.625 (59.025) Prec@5 90.625 (80.814) Epoch: [43][9250/10010] Time 0.319 (0.327) Data 0.001 (0.001) Loss 2.0191 (1.8030) Prec@1 63.281 (59.026) Prec@5 80.469 (80.813) Epoch: [43][9260/10010] Time 0.321 (0.327) Data 0.001 (0.001) Loss 1.6747 (1.8030) Prec@1 64.844 (59.026) Prec@5 80.469 (80.810) Epoch: [43][9270/10010] Time 0.332 (0.327) Data 0.001 (0.001) Loss 1.8550 (1.8030) Prec@1 53.125 (59.027) Prec@5 81.250 (80.812) Epoch: [43][9280/10010] Time 0.329 (0.327) Data 0.001 (0.001) Loss 1.5044 (1.8028) Prec@1 64.844 (59.031) Prec@5 87.500 (80.814) Epoch: [43][9290/10010] Time 0.321 (0.327) Data 0.000 (0.001) Loss 2.1424 (1.8028) Prec@1 46.094 (59.031) Prec@5 75.000 (80.815) Epoch: [43][9300/10010] Time 0.327 (0.327) Data 0.001 (0.001) Loss 1.7390 (1.8028) Prec@1 63.281 (59.031) Prec@5 82.812 (80.815) Epoch: [43][9310/10010] Time 0.337 (0.327) Data 0.001 (0.001) Loss 1.6741 (1.8027) Prec@1 66.406 (59.031) Prec@5 82.812 (80.815) Epoch: [43][9320/10010] Time 0.326 (0.327) Data 0.001 (0.001) Loss 1.5998 (1.8028) Prec@1 64.062 (59.030) Prec@5 83.594 (80.815) Epoch: [43][9330/10010] Time 0.314 (0.327) Data 0.001 (0.001) Loss 1.8645 (1.8028) Prec@1 58.594 (59.028) Prec@5 80.469 (80.813) /data/vision/torralba/deepscene/lib/anaconda2/lib/python2.7/site-packages/PIL/TiffImagePlugin.py:692: UserWarning: Possibly corrupt EXIF data. Expecting to read 2555904 bytes but only got 0. Skipping tag 0 "Skipping tag %s" % (size, len(data), tag)) Epoch: [43][9340/10010] Time 0.328 (0.327) Data 0.000 (0.001) Loss 1.8329 (1.8028) Prec@1 58.594 (59.028) Prec@5 81.250 (80.814) Epoch: [43][9350/10010] Time 0.317 (0.327) Data 0.001 (0.001) Loss 1.7084 (1.8027) Prec@1 58.594 (59.030) Prec@5 82.031 (80.815) /data/vision/torralba/deepscene/lib/anaconda2/lib/python2.7/site-packages/PIL/TiffImagePlugin.py:692: UserWarning: Possibly corrupt EXIF data. Expecting to read 2555904 bytes but only got 0. Skipping tag 0 "Skipping tag %s" % (size, len(data), tag)) Epoch: [43][9360/10010] Time 0.319 (0.327) Data 0.001 (0.001) Loss 1.7422 (1.8028) Prec@1 58.594 (59.028) Prec@5 81.250 (80.814) Epoch: [43][9370/10010] Time 0.328 (0.327) Data 0.001 (0.001) Loss 1.9620 (1.8028) Prec@1 54.688 (59.029) Prec@5 78.906 (80.815) Epoch: [43][9380/10010] Time 0.332 (0.327) Data 0.001 (0.001) Loss 1.7488 (1.8027) Prec@1 61.719 (59.030) Prec@5 82.031 (80.817) Epoch: [43][9390/10010] Time 0.334 (0.327) Data 0.001 (0.001) Loss 1.5268 (1.8027) Prec@1 64.844 (59.032) Prec@5 87.500 (80.817) Epoch: [43][9400/10010] Time 0.313 (0.327) Data 0.000 (0.001) Loss 1.6329 (1.8027) Prec@1 63.281 (59.035) Prec@5 84.375 (80.817) Epoch: [43][9410/10010] Time 0.325 (0.327) Data 0.001 (0.001) Loss 1.9431 (1.8027) Prec@1 56.250 (59.034) Prec@5 80.469 (80.819) Epoch: [43][9420/10010] Time 0.328 (0.327) Data 0.001 (0.001) Loss 1.7887 (1.8027) Prec@1 60.156 (59.035) Prec@5 79.688 (80.818) Epoch: [43][9430/10010] Time 0.336 (0.327) Data 0.001 (0.001) Loss 1.8401 (1.8028) Prec@1 59.375 (59.034) Prec@5 78.125 (80.816) Epoch: [43][9440/10010] Time 0.334 (0.327) Data 0.001 (0.001) Loss 1.7547 (1.8028) Prec@1 67.188 (59.035) Prec@5 85.156 (80.817) Epoch: [43][9450/10010] Time 0.335 (0.327) Data 0.001 (0.001) Loss 1.8750 (1.8029) Prec@1 53.125 (59.033) Prec@5 77.344 (80.815) Epoch: [43][9460/10010] Time 0.331 (0.327) Data 0.001 (0.001) Loss 2.2013 (1.8029) Prec@1 53.906 (59.032) Prec@5 76.562 (80.815) Epoch: [43][9470/10010] Time 0.324 (0.327) Data 0.001 (0.001) Loss 1.9954 (1.8029) Prec@1 58.594 (59.032) Prec@5 82.031 (80.815) Epoch: [43][9480/10010] Time 0.316 (0.327) Data 0.001 (0.001) Loss 2.0049 (1.8029) Prec@1 50.781 (59.033) Prec@5 78.906 (80.817) Epoch: [43][9490/10010] Time 0.339 (0.327) Data 0.001 (0.001) Loss 1.7210 (1.8030) Prec@1 57.812 (59.030) Prec@5 82.031 (80.816) Epoch: [43][9500/10010] Time 0.317 (0.327) Data 0.001 (0.001) Loss 1.7436 (1.8029) Prec@1 62.500 (59.029) Prec@5 79.688 (80.817) Epoch: [43][9510/10010] Time 0.328 (0.327) Data 0.001 (0.001) Loss 1.7776 (1.8030) Prec@1 57.031 (59.028) Prec@5 76.562 (80.817) Epoch: [43][9520/10010] Time 0.332 (0.327) Data 0.001 (0.001) Loss 1.8803 (1.8030) Prec@1 61.719 (59.029) Prec@5 77.344 (80.815) Epoch: [43][9530/10010] Time 0.339 (0.327) Data 0.000 (0.001) Loss 1.9148 (1.8031) Prec@1 53.906 (59.027) Prec@5 82.031 (80.815) Epoch: [43][9540/10010] Time 0.337 (0.327) Data 0.000 (0.001) Loss 1.8840 (1.8031) Prec@1 59.375 (59.028) Prec@5 76.562 (80.813) Epoch: [43][9550/10010] Time 0.339 (0.327) Data 0.001 (0.001) Loss 1.8219 (1.8032) Prec@1 58.594 (59.028) Prec@5 80.469 (80.812) Epoch: [43][9560/10010] Time 0.339 (0.327) Data 0.001 (0.001) Loss 1.5941 (1.8032) Prec@1 62.500 (59.028) Prec@5 85.938 (80.813) Epoch: [43][9570/10010] Time 0.320 (0.327) Data 0.001 (0.001) Loss 2.0779 (1.8032) Prec@1 58.594 (59.027) Prec@5 78.125 (80.812) Epoch: [43][9580/10010] Time 0.337 (0.327) Data 0.001 (0.001) Loss 1.8004 (1.8033) Prec@1 56.250 (59.026) Prec@5 85.156 (80.812) Epoch: [43][9590/10010] Time 0.328 (0.327) Data 0.001 (0.001) Loss 1.6730 (1.8034) Prec@1 57.812 (59.024) Prec@5 85.938 (80.812) Epoch: [43][9600/10010] Time 0.340 (0.327) Data 0.001 (0.001) Loss 1.7436 (1.8034) Prec@1 54.688 (59.023) Prec@5 80.469 (80.813) Epoch: [43][9610/10010] Time 0.344 (0.327) Data 0.000 (0.001) Loss 1.8875 (1.8035) Prec@1 53.125 (59.022) Prec@5 78.125 (80.812) Epoch: [43][9620/10010] Time 0.315 (0.327) Data 0.001 (0.001) Loss 1.8567 (1.8034) Prec@1 55.469 (59.022) Prec@5 78.906 (80.813) Epoch: [43][9630/10010] Time 0.337 (0.327) Data 0.001 (0.001) Loss 1.8772 (1.8035) Prec@1 61.719 (59.024) Prec@5 78.906 (80.813) Epoch: [43][9640/10010] Time 0.316 (0.327) Data 0.001 (0.001) Loss 1.8408 (1.8035) Prec@1 52.344 (59.021) Prec@5 79.688 (80.813) Epoch: [43][9650/10010] Time 0.340 (0.327) Data 0.001 (0.001) Loss 1.8258 (1.8035) Prec@1 59.375 (59.021) Prec@5 77.344 (80.812) Epoch: [43][9660/10010] Time 0.317 (0.327) Data 0.001 (0.001) Loss 2.1090 (1.8036) Prec@1 52.344 (59.021) Prec@5 76.562 (80.810) Epoch: [43][9670/10010] Time 0.316 (0.327) Data 0.001 (0.001) Loss 2.0353 (1.8036) Prec@1 57.031 (59.020) Prec@5 75.781 (80.809) Epoch: [43][9680/10010] Time 0.335 (0.327) Data 0.001 (0.001) Loss 1.8896 (1.8036) Prec@1 61.719 (59.020) Prec@5 78.906 (80.809) Epoch: [43][9690/10010] Time 0.329 (0.327) Data 0.001 (0.001) Loss 1.5036 (1.8035) Prec@1 67.188 (59.022) Prec@5 82.812 (80.809) Epoch: [43][9700/10010] Time 0.313 (0.327) Data 0.001 (0.001) Loss 1.9657 (1.8035) Prec@1 59.375 (59.022) Prec@5 77.344 (80.810) Epoch: [43][9710/10010] Time 0.329 (0.327) Data 0.000 (0.001) Loss 1.6203 (1.8034) Prec@1 66.406 (59.025) Prec@5 82.031 (80.812) Epoch: [43][9720/10010] Time 0.322 (0.327) Data 0.000 (0.001) Loss 1.9446 (1.8034) Prec@1 54.688 (59.023) Prec@5 80.469 (80.811) Epoch: [43][9730/10010] Time 0.342 (0.327) Data 0.000 (0.001) Loss 1.7406 (1.8034) Prec@1 62.500 (59.024) Prec@5 81.250 (80.811) Epoch: [43][9740/10010] Time 0.342 (0.327) Data 0.000 (0.001) Loss 1.6855 (1.8034) Prec@1 64.062 (59.026) Prec@5 83.594 (80.812) Epoch: [43][9750/10010] Time 0.329 (0.327) Data 0.001 (0.001) Loss 1.7126 (1.8034) Prec@1 59.375 (59.024) Prec@5 79.688 (80.811) Epoch: [43][9760/10010] Time 0.318 (0.327) Data 0.001 (0.001) Loss 2.1467 (1.8034) Prec@1 57.031 (59.025) Prec@5 73.438 (80.811) Epoch: [43][9770/10010] Time 0.322 (0.327) Data 0.001 (0.001) Loss 1.9795 (1.8035) Prec@1 53.906 (59.022) Prec@5 80.469 (80.811) Epoch: [43][9780/10010] Time 0.321 (0.327) Data 0.001 (0.001) Loss 1.6480 (1.8034) Prec@1 64.062 (59.024) Prec@5 83.594 (80.813) Epoch: [43][9790/10010] Time 0.320 (0.327) Data 0.001 (0.001) Loss 1.8351 (1.8034) Prec@1 60.156 (59.024) Prec@5 82.031 (80.812) Epoch: [43][9800/10010] Time 0.316 (0.327) Data 0.000 (0.001) Loss 2.0869 (1.8034) Prec@1 62.500 (59.025) Prec@5 76.562 (80.812) Epoch: [43][9810/10010] Time 0.315 (0.327) Data 0.000 (0.001) Loss 1.8375 (1.8034) Prec@1 59.375 (59.025) Prec@5 78.906 (80.812) Epoch: [43][9820/10010] Time 0.330 (0.327) Data 0.001 (0.001) Loss 1.7757 (1.8034) Prec@1 64.062 (59.026) Prec@5 82.031 (80.810) Epoch: [43][9830/10010] Time 0.332 (0.327) Data 0.000 (0.001) Loss 2.0650 (1.8033) Prec@1 54.688 (59.027) Prec@5 78.125 (80.812) Epoch: [43][9840/10010] Time 0.339 (0.327) Data 0.000 (0.001) Loss 1.9753 (1.8034) Prec@1 60.156 (59.028) Prec@5 78.906 (80.812) Epoch: [43][9850/10010] Time 0.320 (0.327) Data 0.001 (0.001) Loss 2.1831 (1.8034) Prec@1 52.344 (59.025) Prec@5 76.562 (80.810) Epoch: [43][9860/10010] Time 0.321 (0.327) Data 0.001 (0.001) Loss 1.8061 (1.8034) Prec@1 58.594 (59.026) Prec@5 82.031 (80.810) Epoch: [43][9870/10010] Time 0.326 (0.327) Data 0.001 (0.001) Loss 1.6573 (1.8034) Prec@1 57.812 (59.028) Prec@5 85.938 (80.811) Epoch: [43][9880/10010] Time 0.330 (0.327) Data 0.000 (0.001) Loss 1.8972 (1.8034) Prec@1 53.125 (59.027) Prec@5 81.250 (80.811) Epoch: [43][9890/10010] Time 0.337 (0.327) Data 0.001 (0.001) Loss 1.7938 (1.8036) Prec@1 66.406 (59.026) Prec@5 83.594 (80.808) Epoch: [43][9900/10010] Time 0.310 (0.327) Data 0.001 (0.001) Loss 1.6020 (1.8036) Prec@1 65.625 (59.027) Prec@5 83.594 (80.808) Epoch: [43][9910/10010] Time 0.327 (0.327) Data 0.001 (0.001) Loss 1.7496 (1.8035) Prec@1 59.375 (59.029) Prec@5 83.594 (80.808) Epoch: [43][9920/10010] Time 0.325 (0.327) Data 0.001 (0.001) Loss 1.5400 (1.8035) Prec@1 63.281 (59.028) Prec@5 85.156 (80.809) Epoch: [43][9930/10010] Time 0.323 (0.327) Data 0.001 (0.001) Loss 2.0504 (1.8035) Prec@1 53.125 (59.027) Prec@5 75.781 (80.809) Epoch: [43][9940/10010] Time 0.318 (0.327) Data 0.001 (0.001) Loss 2.2851 (1.8037) Prec@1 50.781 (59.025) Prec@5 75.781 (80.807) Epoch: [43][9950/10010] Time 0.339 (0.327) Data 0.001 (0.001) Loss 1.7962 (1.8037) Prec@1 58.594 (59.024) Prec@5 84.375 (80.806) Epoch: [43][9960/10010] Time 0.332 (0.327) Data 0.000 (0.001) Loss 1.6379 (1.8037) Prec@1 60.938 (59.024) Prec@5 82.812 (80.806) Epoch: [43][9970/10010] Time 0.335 (0.327) Data 0.000 (0.001) Loss 1.9705 (1.8037) Prec@1 57.031 (59.025) Prec@5 78.906 (80.806) Epoch: [43][9980/10010] Time 0.335 (0.327) Data 0.000 (0.001) Loss 1.6338 (1.8037) Prec@1 59.375 (59.024) Prec@5 81.250 (80.806) Epoch: [43][9990/10010] Time 0.321 (0.327) Data 0.001 (0.001) Loss 1.9105 (1.8037) Prec@1 57.031 (59.024) Prec@5 76.562 (80.805) Epoch: [43][10000/10010] Time 0.311 (0.327) Data 0.000 (0.001) Loss 1.7128 (1.8036) Prec@1 60.156 (59.025) Prec@5 79.688 (80.808) Test: [0/391] Time 1.252 (1.252) Loss 0.8570 (0.8570) Prec@1 82.812 (82.812) Prec@5 91.406 (91.406) Test: [10/391] Time 0.108 (0.214) Loss 1.2064 (0.7912) Prec@1 73.438 (80.682) Prec@5 89.844 (93.537) Test: [20/391] Time 0.100 (0.163) Loss 1.1415 (1.0985) Prec@1 74.219 (72.507) Prec@5 89.844 (90.179) Test: [30/391] Time 0.110 (0.145) Loss 1.9553 (1.2770) Prec@1 60.156 (68.196) Prec@5 81.250 (88.684) Test: [40/391] Time 0.115 (0.139) Loss 1.0353 (1.1485) Prec@1 76.562 (71.208) Prec@5 89.844 (89.977) Test: [50/391] Time 0.103 (0.132) Loss 0.9443 (1.1856) Prec@1 73.438 (70.665) Prec@5 90.625 (89.522) Test: [60/391] Time 0.105 (0.128) Loss 1.1316 (1.1234) Prec@1 71.094 (72.144) Prec@5 90.625 (90.228) Test: [70/391] Time 0.111 (0.125) Loss 1.3228 (1.1632) Prec@1 61.719 (70.929) Prec@5 93.750 (90.119) Test: [80/391] Time 0.108 (0.125) Loss 1.3746 (1.1828) Prec@1 64.844 (70.100) Prec@5 88.281 (90.162) Test: [90/391] Time 0.104 (0.123) Loss 1.2935 (1.1950) Prec@1 60.156 (69.832) Prec@5 91.406 (90.179) Test: [100/391] Time 0.116 (0.121) Loss 0.9527 (1.1821) Prec@1 75.781 (69.601) Prec@5 92.188 (90.494) Test: [110/391] Time 0.104 (0.120) Loss 1.7012 (1.1800) Prec@1 44.531 (69.412) Prec@5 85.938 (90.688) Test: [120/391] Time 0.190 (0.119) Loss 0.9588 (1.1707) Prec@1 75.781 (69.718) Prec@5 95.312 (90.864) Test: [130/391] Time 0.108 (0.118) Loss 0.6643 (1.1648) Prec@1 84.375 (70.038) Prec@5 95.312 (90.935) Test: [140/391] Time 0.105 (0.117) Loss 1.5285 (1.1654) Prec@1 60.156 (69.969) Prec@5 89.844 (90.969) Test: [150/391] Time 0.108 (0.117) Loss 1.2652 (1.1698) Prec@1 56.250 (69.914) Prec@5 89.062 (90.816) Test: [160/391] Time 0.103 (0.116) Loss 1.2127 (1.1765) Prec@1 67.969 (69.866) Prec@5 91.406 (90.727) Test: [170/391] Time 0.105 (0.115) Loss 1.8249 (1.2097) Prec@1 50.000 (69.184) Prec@5 84.375 (90.241) Test: [180/391] Time 0.101 (0.115) Loss 2.3187 (1.2557) Prec@1 46.875 (68.297) Prec@5 84.375 (89.628) Test: [190/391] Time 0.103 (0.115) Loss 2.0537 (1.2892) Prec@1 55.469 (67.752) Prec@5 83.594 (89.157) Test: [200/391] Time 0.105 (0.114) Loss 1.5438 (1.3161) Prec@1 58.594 (67.203) Prec@5 85.156 (88.794) Test: [210/391] Time 0.107 (0.114) Loss 1.6588 (1.3310) Prec@1 62.500 (66.958) Prec@5 84.375 (88.511) Test: [220/391] Time 0.115 (0.114) Loss 0.8738 (1.3417) Prec@1 78.125 (66.845) Prec@5 93.750 (88.242) Test: [230/391] Time 0.099 (0.114) Loss 2.5573 (1.3553) Prec@1 40.625 (66.555) Prec@5 72.656 (88.075) Test: [240/391] Time 0.105 (0.113) Loss 1.7201 (1.3661) Prec@1 64.844 (66.442) Prec@5 81.250 (87.866) Test: [250/391] Time 0.103 (0.113) Loss 1.1306 (1.3924) Prec@1 72.656 (65.930) Prec@5 88.281 (87.525) Test: [260/391] Time 0.107 (0.113) Loss 1.9794 (1.4112) Prec@1 58.594 (65.583) Prec@5 79.688 (87.290) Test: [270/391] Time 0.107 (0.113) Loss 2.3251 (1.4276) Prec@1 39.844 (65.244) Prec@5 80.469 (87.056) Test: [280/391] Time 0.109 (0.112) Loss 1.8305 (1.4386) Prec@1 53.125 (65.069) Prec@5 86.719 (86.950) Test: [290/391] Time 0.105 (0.112) Loss 1.9443 (1.4535) Prec@1 42.188 (64.828) Prec@5 82.031 (86.697) Test: [300/391] Time 0.103 (0.112) Loss 1.1615 (1.4656) Prec@1 78.125 (64.600) Prec@5 86.719 (86.477) Test: [310/391] Time 0.111 (0.112) Loss 2.0044 (1.4827) Prec@1 60.156 (64.304) Prec@5 78.125 (86.216) Test: [320/391] Time 0.102 (0.112) Loss 0.8339 (1.4915) Prec@1 82.031 (64.131) Prec@5 94.531 (86.118) Test: [330/391] Time 0.105 (0.111) Loss 2.2495 (1.5128) Prec@1 50.781 (63.718) Prec@5 75.000 (85.831) Test: [340/391] Time 0.102 (0.111) Loss 1.4349 (1.5169) Prec@1 60.156 (63.591) Prec@5 90.625 (85.821) Test: [350/391] Time 0.102 (0.111) Loss 1.5935 (1.5235) Prec@1 67.188 (63.488) Prec@5 85.938 (85.679) Test: [360/391] Time 0.109 (0.111) Loss 1.5316 (1.5327) Prec@1 58.594 (63.301) Prec@5 88.281 (85.578) Test: [370/391] Time 0.107 (0.111) Loss 1.3528 (1.5290) Prec@1 57.031 (63.355) Prec@5 89.844 (85.626) Test: [380/391] Time 0.109 (0.111) Loss 1.2197 (1.5315) Prec@1 69.531 (63.326) Prec@5 92.969 (85.616) Test: [390/391] Time 0.072 (0.111) Loss 2.4954 (1.5235) Prec@1 28.750 (63.506) Prec@5 76.250 (85.722) * Prec@1 63.506 Prec@5 85.722 Epoch: [44][0/10010] Time 2.405 (2.405) Data 2.211 (2.211) Loss 1.7801 (1.7801) Prec@1 57.812 (57.812) Prec@5 82.031 (82.031) Epoch: [44][10/10010] Time 0.315 (0.506) Data 0.001 (0.202) Loss 1.5396 (1.7080) Prec@1 61.719 (59.943) Prec@5 83.594 (82.812) Epoch: [44][20/10010] Time 0.317 (0.416) Data 0.001 (0.106) Loss 1.9248 (1.7613) Prec@1 58.594 (59.635) Prec@5 75.781 (81.734) Epoch: [44][30/10010] Time 0.322 (0.384) Data 0.000 (0.072) Loss 1.7114 (1.7397) Prec@1 61.719 (60.005) Prec@5 82.031 (81.981) Epoch: [44][40/10010] Time 0.341 (0.369) Data 0.001 (0.055) Loss 1.3900 (1.7422) Prec@1 67.188 (59.985) Prec@5 88.281 (81.898) Epoch: [44][50/10010] Time 0.339 (0.361) Data 0.001 (0.044) Loss 2.0418 (1.7594) Prec@1 55.469 (59.789) Prec@5 75.781 (81.572) Epoch: [44][60/10010] Time 0.340 (0.357) Data 0.000 (0.037) Loss 1.7285 (1.7542) Prec@1 57.812 (59.759) Prec@5 78.125 (81.468) Epoch: [44][70/10010] Time 0.336 (0.354) Data 0.001 (0.032) Loss 1.7225 (1.7603) Prec@1 63.281 (59.606) Prec@5 84.375 (81.349) Epoch: [44][80/10010] Time 0.318 (0.351) Data 0.000 (0.028) Loss 1.6422 (1.7493) Prec@1 65.625 (59.973) Prec@5 80.469 (81.424) Epoch: [44][90/10010] Time 0.315 (0.347) Data 0.001 (0.025) Loss 1.9094 (1.7507) Prec@1 54.688 (59.770) Prec@5 81.250 (81.370) Epoch: [44][100/10010] Time 0.321 (0.345) Data 0.001 (0.023) Loss 2.4422 (1.7605) Prec@1 46.875 (59.769) Prec@5 71.875 (81.265) Epoch: [44][110/10010] Time 0.313 (0.343) Data 0.001 (0.021) Loss 1.6704 (1.7646) Prec@1 61.719 (59.769) Prec@5 84.375 (81.173) Epoch: [44][120/10010] Time 0.316 (0.342) Data 0.001 (0.019) Loss 1.8401 (1.7698) Prec@1 56.250 (59.769) Prec@5 76.562 (81.050) Epoch: [44][130/10010] Time 0.315 (0.341) Data 0.000 (0.018) Loss 1.6882 (1.7683) Prec@1 60.938 (59.781) Prec@5 85.938 (81.125) Epoch: [44][140/10010] Time 0.327 (0.340) Data 0.001 (0.016) Loss 1.5961 (1.7658) Prec@1 64.844 (59.874) Prec@5 80.469 (81.145) Epoch: [44][150/10010] Time 0.325 (0.339) Data 0.001 (0.015) Loss 1.5249 (1.7684) Prec@1 64.062 (59.877) Prec@5 85.156 (81.105) Epoch: [44][160/10010] Time 0.309 (0.339) Data 0.001 (0.014) Loss 1.8276 (1.7710) Prec@1 57.812 (59.894) Prec@5 78.125 (81.056) Epoch: [44][170/10010] Time 0.346 (0.338) Data 0.000 (0.014) Loss 1.9728 (1.7705) Prec@1 53.906 (59.919) Prec@5 76.562 (81.022) Epoch: [44][180/10010] Time 0.320 (0.337) Data 0.001 (0.013) Loss 1.6111 (1.7633) Prec@1 64.062 (60.040) Prec@5 79.688 (81.146) Epoch: [44][190/10010] Time 0.338 (0.337) Data 0.000 (0.012) Loss 1.5085 (1.7597) Prec@1 64.062 (60.193) Prec@5 81.250 (81.189) Epoch: [44][200/10010] Time 0.321 (0.336) Data 0.000 (0.012) Loss 1.7237 (1.7587) Prec@1 63.281 (60.187) Prec@5 84.375 (81.227) Epoch: [44][210/10010] Time 0.330 (0.336) Data 0.001 (0.011) Loss 1.8041 (1.7578) Prec@1 60.938 (60.238) Prec@5 79.688 (81.272) Epoch: [44][220/10010] Time 0.326 (0.335) Data 0.001 (0.011) Loss 2.1214 (1.7574) Prec@1 51.562 (60.230) Prec@5 74.219 (81.282) Epoch: [44][230/10010] Time 0.337 (0.335) Data 0.001 (0.010) Loss 1.9619 (1.7631) Prec@1 53.906 (60.065) Prec@5 76.562 (81.203) Epoch: [44][240/10010] Time 0.343 (0.335) Data 0.001 (0.010) Loss 1.4882 (1.7647) Prec@1 63.281 (60.001) Prec@5 83.594 (81.137) Epoch: [44][250/10010] Time 0.319 (0.334) Data 0.001 (0.010) Loss 1.8209 (1.7650) Prec@1 57.812 (60.022) Prec@5 81.250 (81.113) Epoch: [44][260/10010] Time 0.338 (0.334) Data 0.001 (0.009) Loss 1.9530 (1.7693) Prec@1 53.906 (59.926) Prec@5 79.688 (81.046) Epoch: [44][270/10010] Time 0.337 (0.334) Data 0.001 (0.009) Loss 2.0323 (1.7682) Prec@1 57.031 (59.966) Prec@5 78.125 (81.112) Epoch: [44][280/10010] Time 0.326 (0.333) Data 0.000 (0.009) Loss 1.6891 (1.7689) Prec@1 63.281 (59.934) Prec@5 83.594 (81.128) Epoch: [44][290/10010] Time 0.321 (0.333) Data 0.000 (0.008) Loss 1.9668 (1.7689) Prec@1 51.562 (59.848) Prec@5 79.688 (81.148) Epoch: [44][300/10010] Time 0.325 (0.333) Data 0.000 (0.008) Loss 1.7155 (1.7720) Prec@1 57.812 (59.731) Prec@5 83.594 (81.084) Epoch: [44][310/10010] Time 0.338 (0.333) Data 0.001 (0.008) Loss 1.8802 (1.7701) Prec@1 51.562 (59.757) Prec@5 80.469 (81.107) Epoch: [44][320/10010] Time 0.325 (0.333) Data 0.000 (0.008) Loss 1.8244 (1.7713) Prec@1 58.594 (59.682) Prec@5 81.250 (81.111) Epoch: [44][330/10010] Time 0.317 (0.333) Data 0.001 (0.007) Loss 1.7855 (1.7694) Prec@1 58.594 (59.694) Prec@5 83.594 (81.203) Epoch: [44][340/10010] Time 0.332 (0.333) Data 0.001 (0.007) Loss 1.7029 (1.7703) Prec@1 63.281 (59.671) Prec@5 82.031 (81.179) Epoch: [44][350/10010] Time 0.325 (0.332) Data 0.001 (0.007) Loss 2.0435 (1.7728) Prec@1 57.031 (59.658) Prec@5 75.000 (81.136) Epoch: [44][360/10010] Time 0.314 (0.332) Data 0.000 (0.007) Loss 1.8028 (1.7738) Prec@1 60.938 (59.622) Prec@5 79.688 (81.142) Epoch: [44][370/10010] Time 0.319 (0.332) Data 0.001 (0.007) Loss 1.8128 (1.7750) Prec@1 60.156 (59.626) Prec@5 82.812 (81.132) Epoch: [44][380/10010] Time 0.321 (0.332) Data 0.000 (0.006) Loss 1.9109 (1.7756) Prec@1 51.562 (59.576) Prec@5 75.781 (81.121) Epoch: [44][390/10010] Time 0.334 (0.332) Data 0.001 (0.006) Loss 1.5594 (1.7753) Prec@1 63.281 (59.569) Prec@5 84.375 (81.150) Epoch: [44][400/10010] Time 0.323 (0.332) Data 0.001 (0.006) Loss 1.5620 (1.7735) Prec@1 65.625 (59.589) Prec@5 83.594 (81.170) Epoch: [44][410/10010] Time 0.311 (0.331) Data 0.001 (0.006) Loss 1.9482 (1.7751) Prec@1 50.781 (59.535) Prec@5 81.250 (81.159) Epoch: [44][420/10010] Time 0.341 (0.331) Data 0.000 (0.006) Loss 1.5453 (1.7746) Prec@1 60.938 (59.514) Prec@5 88.281 (81.187) Epoch: [44][430/10010] Time 0.320 (0.331) Data 0.001 (0.006) Loss 1.9054 (1.7766) Prec@1 53.906 (59.458) Prec@5 79.688 (81.165) Epoch: [44][440/10010] Time 0.336 (0.331) Data 0.001 (0.006) Loss 1.7377 (1.7765) Prec@1 60.156 (59.469) Prec@5 79.688 (81.156) Epoch: [44][450/10010] Time 0.338 (0.331) Data 0.000 (0.006) Loss 1.8264 (1.7770) Prec@1 57.031 (59.477) Prec@5 81.250 (81.141) Epoch: [44][460/10010] Time 0.331 (0.331) Data 0.001 (0.005) Loss 1.8020 (1.7766) Prec@1 58.594 (59.502) Prec@5 81.250 (81.135) Epoch: [44][470/10010] Time 0.311 (0.331) Data 0.001 (0.005) Loss 1.6630 (1.7749) Prec@1 59.375 (59.529) Prec@5 85.156 (81.170) Epoch: [44][480/10010] Time 0.338 (0.331) Data 0.000 (0.005) Loss 1.8382 (1.7738) Prec@1 59.375 (59.567) Prec@5 78.906 (81.190) /data/vision/torralba/deepscene/lib/anaconda2/lib/python2.7/site-packages/PIL/TiffImagePlugin.py:692: UserWarning: Possibly corrupt EXIF data. Expecting to read 2555904 bytes but only got 0. Skipping tag 0 "Skipping tag %s" % (size, len(data), tag)) Epoch: [44][490/10010] Time 0.313 (0.331) Data 0.001 (0.005) Loss 1.9368 (1.7724) Prec@1 53.906 (59.563) Prec@5 77.344 (81.188) Epoch: [44][500/10010] Time 0.332 (0.331) Data 0.001 (0.005) Loss 1.8565 (1.7732) Prec@1 55.469 (59.550) Prec@5 79.688 (81.185) Epoch: [44][510/10010] Time 0.318 (0.331) Data 0.001 (0.005) Loss 1.7877 (1.7725) Prec@1 60.938 (59.568) Prec@5 80.469 (81.212) Epoch: [44][520/10010] Time 0.312 (0.330) Data 0.000 (0.005) Loss 1.7483 (1.7739) Prec@1 62.500 (59.550) Prec@5 82.812 (81.181) Epoch: [44][530/10010] Time 0.334 (0.330) Data 0.000 (0.005) Loss 2.0852 (1.7740) Prec@1 58.594 (59.557) Prec@5 76.562 (81.182) Epoch: [44][540/10010] Time 0.334 (0.330) Data 0.001 (0.005) Loss 1.6353 (1.7738) Prec@1 60.156 (59.584) Prec@5 86.719 (81.186) Epoch: [44][550/10010] Time 0.325 (0.330) Data 0.001 (0.005) Loss 1.4835 (1.7726) Prec@1 61.719 (59.606) Prec@5 85.938 (81.196) Epoch: [44][560/10010] Time 0.325 (0.330) Data 0.000 (0.005) Loss 1.9227 (1.7729) Prec@1 60.156 (59.616) Prec@5 77.344 (81.198) Epoch: [44][570/10010] Time 0.325 (0.330) Data 0.001 (0.005) Loss 1.9607 (1.7731) Prec@1 60.938 (59.614) Prec@5 79.688 (81.202) Epoch: [44][580/10010] Time 0.329 (0.330) Data 0.000 (0.004) Loss 1.5925 (1.7716) Prec@1 64.062 (59.636) Prec@5 82.031 (81.220) Epoch: [44][590/10010] Time 0.333 (0.330) Data 0.001 (0.004) Loss 1.9350 (1.7713) Prec@1 57.031 (59.653) Prec@5 78.125 (81.222) Epoch: [44][600/10010] Time 0.337 (0.330) Data 0.001 (0.004) Loss 1.4420 (1.7710) Prec@1 63.281 (59.638) Prec@5 86.719 (81.223) Epoch: [44][610/10010] Time 0.314 (0.330) Data 0.001 (0.004) Loss 1.5723 (1.7702) Prec@1 63.281 (59.633) Prec@5 85.156 (81.242) Epoch: [44][620/10010] Time 0.312 (0.330) Data 0.001 (0.004) Loss 2.0505 (1.7716) Prec@1 54.688 (59.644) Prec@5 78.906 (81.242) Epoch: [44][630/10010] Time 0.327 (0.329) Data 0.001 (0.004) Loss 1.6742 (1.7720) Prec@1 56.250 (59.640) Prec@5 82.812 (81.238) Epoch: [44][640/10010] Time 0.328 (0.329) Data 0.001 (0.004) Loss 1.8195 (1.7718) Prec@1 64.844 (59.643) Prec@5 81.250 (81.252) Epoch: [44][650/10010] Time 0.334 (0.329) Data 0.001 (0.004) Loss 1.5867 (1.7703) Prec@1 58.594 (59.671) Prec@5 80.469 (81.270) Epoch: [44][660/10010] Time 0.338 (0.330) Data 0.001 (0.004) Loss 1.5372 (1.7685) Prec@1 63.281 (59.713) Prec@5 83.594 (81.280) Epoch: [44][670/10010] Time 0.310 (0.329) Data 0.001 (0.004) Loss 1.7895 (1.7693) Prec@1 59.375 (59.706) Prec@5 84.375 (81.267) Epoch: [44][680/10010] Time 0.317 (0.329) Data 0.000 (0.004) Loss 2.0417 (1.7697) Prec@1 51.562 (59.702) Prec@5 77.344 (81.268) Epoch: [44][690/10010] Time 0.322 (0.329) Data 0.000 (0.004) Loss 1.9822 (1.7691) Prec@1 56.250 (59.720) Prec@5 79.688 (81.275) Epoch: [44][700/10010] Time 0.317 (0.329) Data 0.001 (0.004) Loss 1.7146 (1.7706) Prec@1 60.938 (59.714) Prec@5 85.938 (81.252) Epoch: [44][710/10010] Time 0.326 (0.329) Data 0.001 (0.004) Loss 1.7925 (1.7695) Prec@1 59.375 (59.737) Prec@5 78.906 (81.265) Epoch: [44][720/10010] Time 0.331 (0.329) Data 0.001 (0.004) Loss 1.6118 (1.7694) Prec@1 64.062 (59.736) Prec@5 81.250 (81.271) Epoch: [44][730/10010] Time 0.328 (0.329) Data 0.001 (0.004) Loss 1.9597 (1.7690) Prec@1 54.688 (59.729) Prec@5 75.781 (81.277) Epoch: [44][740/10010] Time 0.326 (0.329) Data 0.001 (0.004) Loss 2.0367 (1.7704) Prec@1 55.469 (59.712) Prec@5 78.906 (81.258) Epoch: [44][750/10010] Time 0.330 (0.329) Data 0.001 (0.004) Loss 1.9426 (1.7714) Prec@1 51.562 (59.692) Prec@5 78.906 (81.242) Epoch: [44][760/10010] Time 0.320 (0.329) Data 0.001 (0.004) Loss 1.6408 (1.7711) Prec@1 60.156 (59.700) Prec@5 82.031 (81.239) Epoch: [44][770/10010] Time 0.335 (0.329) Data 0.001 (0.004) Loss 1.4728 (1.7692) Prec@1 64.844 (59.724) Prec@5 85.156 (81.256) Epoch: [44][780/10010] Time 0.327 (0.329) Data 0.001 (0.003) Loss 1.8656 (1.7692) Prec@1 57.031 (59.730) Prec@5 82.812 (81.256) Epoch: [44][790/10010] Time 0.341 (0.329) Data 0.000 (0.003) Loss 1.6186 (1.7694) Prec@1 64.062 (59.720) Prec@5 84.375 (81.255) Epoch: [44][800/10010] Time 0.319 (0.329) Data 0.001 (0.003) Loss 1.6336 (1.7687) Prec@1 62.500 (59.739) Prec@5 84.375 (81.274) Epoch: [44][810/10010] Time 0.328 (0.329) Data 0.001 (0.003) Loss 1.7332 (1.7692) Prec@1 60.156 (59.725) Prec@5 80.469 (81.263) Epoch: [44][820/10010] Time 0.333 (0.329) Data 0.001 (0.003) Loss 1.8997 (1.7706) Prec@1 57.812 (59.710) Prec@5 81.250 (81.265) Epoch: [44][830/10010] Time 0.317 (0.329) Data 0.001 (0.003) Loss 1.8824 (1.7712) Prec@1 59.375 (59.686) Prec@5 74.219 (81.250) Epoch: [44][840/10010] Time 0.318 (0.329) Data 0.001 (0.003) Loss 1.6960 (1.7709) Prec@1 59.375 (59.679) Prec@5 83.594 (81.256) Epoch: [44][850/10010] Time 0.339 (0.329) Data 0.001 (0.003) Loss 1.7408 (1.7703) Prec@1 58.594 (59.684) Prec@5 82.031 (81.269) Epoch: [44][860/10010] Time 0.340 (0.329) Data 0.001 (0.003) Loss 1.5194 (1.7699) Prec@1 64.062 (59.694) Prec@5 85.938 (81.284) Epoch: [44][870/10010] Time 0.338 (0.329) Data 0.000 (0.003) Loss 1.6758 (1.7694) Prec@1 63.281 (59.715) Prec@5 82.812 (81.288) Epoch: [44][880/10010] Time 0.323 (0.329) Data 0.001 (0.003) Loss 1.9334 (1.7698) Prec@1 56.250 (59.692) Prec@5 80.469 (81.285) Epoch: [44][890/10010] Time 0.317 (0.329) Data 0.001 (0.003) Loss 1.7074 (1.7692) Prec@1 60.156 (59.699) Prec@5 82.031 (81.287) Epoch: [44][900/10010] Time 0.337 (0.329) Data 0.001 (0.003) Loss 1.6092 (1.7689) Prec@1 64.062 (59.703) Prec@5 83.594 (81.286) Epoch: [44][910/10010] Time 0.336 (0.329) Data 0.001 (0.003) Loss 1.5042 (1.7700) Prec@1 61.719 (59.671) Prec@5 84.375 (81.265) Epoch: [44][920/10010] Time 0.320 (0.329) Data 0.001 (0.003) Loss 1.9958 (1.7708) Prec@1 58.594 (59.674) Prec@5 77.344 (81.245) Epoch: [44][930/10010] Time 0.339 (0.329) Data 0.001 (0.003) Loss 1.7101 (1.7715) Prec@1 61.719 (59.658) Prec@5 82.031 (81.240) Epoch: [44][940/10010] Time 0.333 (0.329) Data 0.001 (0.003) Loss 1.9627 (1.7714) Prec@1 53.125 (59.648) Prec@5 77.344 (81.252) Epoch: [44][950/10010] Time 0.313 (0.329) Data 0.001 (0.003) Loss 1.7006 (1.7707) Prec@1 62.500 (59.667) Prec@5 83.594 (81.254) Epoch: [44][960/10010] Time 0.338 (0.329) Data 0.000 (0.003) Loss 2.1433 (1.7709) Prec@1 51.562 (59.661) Prec@5 78.125 (81.250) Epoch: [44][970/10010] Time 0.327 (0.329) Data 0.001 (0.003) Loss 1.7198 (1.7718) Prec@1 63.281 (59.662) Prec@5 81.250 (81.245) Epoch: [44][980/10010] Time 0.340 (0.329) Data 0.000 (0.003) Loss 1.7217 (1.7710) Prec@1 60.156 (59.686) Prec@5 84.375 (81.264) Epoch: [44][990/10010] Time 0.336 (0.329) Data 0.001 (0.003) Loss 1.6848 (1.7708) Prec@1 61.719 (59.693) Prec@5 82.031 (81.273) Epoch: [44][1000/10010] Time 0.335 (0.329) Data 0.001 (0.003) Loss 1.5828 (1.7716) Prec@1 65.625 (59.675) Prec@5 85.156 (81.255) Epoch: [44][1010/10010] Time 0.315 (0.329) Data 0.001 (0.003) Loss 1.8844 (1.7713) Prec@1 58.594 (59.673) Prec@5 79.688 (81.251) Epoch: [44][1020/10010] Time 0.331 (0.329) Data 0.001 (0.003) Loss 1.4788 (1.7709) Prec@1 67.188 (59.680) Prec@5 88.281 (81.249) Epoch: [44][1030/10010] Time 0.318 (0.329) Data 0.001 (0.003) Loss 1.7014 (1.7715) Prec@1 59.375 (59.670) Prec@5 83.594 (81.242) Epoch: [44][1040/10010] Time 0.337 (0.329) Data 0.001 (0.003) Loss 1.8197 (1.7712) Prec@1 61.719 (59.678) Prec@5 80.469 (81.252) Epoch: [44][1050/10010] Time 0.308 (0.329) Data 0.000 (0.003) Loss 1.7285 (1.7721) Prec@1 62.500 (59.664) Prec@5 78.906 (81.225) Epoch: [44][1060/10010] Time 0.339 (0.329) Data 0.001 (0.003) Loss 2.0535 (1.7725) Prec@1 52.344 (59.642) Prec@5 72.656 (81.225) Epoch: [44][1070/10010] Time 0.338 (0.329) Data 0.001 (0.003) Loss 1.5285 (1.7719) Prec@1 65.625 (59.660) Prec@5 88.281 (81.243) Epoch: [44][1080/10010] Time 0.337 (0.329) Data 0.001 (0.003) Loss 1.7323 (1.7718) Prec@1 55.469 (59.646) Prec@5 79.688 (81.250) Epoch: [44][1090/10010] Time 0.336 (0.329) Data 0.000 (0.003) Loss 1.9310 (1.7720) Prec@1 53.125 (59.647) Prec@5 78.125 (81.238) Epoch: [44][1100/10010] Time 0.335 (0.329) Data 0.001 (0.003) Loss 2.1370 (1.7727) Prec@1 53.906 (59.637) Prec@5 75.781 (81.229) Epoch: [44][1110/10010] Time 0.316 (0.329) Data 0.001 (0.003) Loss 1.5724 (1.7729) Prec@1 62.500 (59.643) Prec@5 81.250 (81.220) Epoch: [44][1120/10010] Time 0.325 (0.329) Data 0.000 (0.003) Loss 1.6606 (1.7725) Prec@1 60.938 (59.648) Prec@5 83.594 (81.224) Epoch: [44][1130/10010] Time 0.332 (0.329) Data 0.001 (0.003) Loss 1.2590 (1.7719) Prec@1 71.875 (59.658) Prec@5 86.719 (81.225) Epoch: [44][1140/10010] Time 0.317 (0.329) Data 0.000 (0.003) Loss 1.7364 (1.7722) Prec@1 61.719 (59.665) Prec@5 83.594 (81.216) Epoch: [44][1150/10010] Time 0.326 (0.329) Data 0.001 (0.003) Loss 1.9593 (1.7720) Prec@1 57.031 (59.670) Prec@5 81.250 (81.219) Epoch: [44][1160/10010] Time 0.322 (0.329) Data 0.001 (0.003) Loss 1.8607 (1.7718) Prec@1 63.281 (59.674) Prec@5 80.469 (81.222) Epoch: [44][1170/10010] Time 0.338 (0.329) Data 0.000 (0.003) Loss 1.9891 (1.7723) Prec@1 60.156 (59.657) Prec@5 78.906 (81.226) Epoch: [44][1180/10010] Time 0.322 (0.329) Data 0.000 (0.003) Loss 1.5084 (1.7724) Prec@1 66.406 (59.671) Prec@5 82.031 (81.221) Epoch: [44][1190/10010] Time 0.324 (0.329) Data 0.000 (0.003) Loss 1.6508 (1.7717) Prec@1 60.938 (59.679) Prec@5 81.250 (81.236) Epoch: [44][1200/10010] Time 0.314 (0.329) Data 0.001 (0.003) Loss 1.6289 (1.7718) Prec@1 64.062 (59.681) Prec@5 82.812 (81.216) Epoch: [44][1210/10010] Time 0.334 (0.329) Data 0.000 (0.002) Loss 1.6871 (1.7713) Prec@1 61.719 (59.694) Prec@5 81.250 (81.216) Epoch: [44][1220/10010] Time 0.327 (0.329) Data 0.000 (0.002) Loss 1.8511 (1.7720) Prec@1 62.500 (59.685) Prec@5 79.688 (81.208) Epoch: [44][1230/10010] Time 0.315 (0.329) Data 0.001 (0.002) Loss 2.1016 (1.7730) Prec@1 53.906 (59.671) Prec@5 75.000 (81.191) Epoch: [44][1240/10010] Time 0.323 (0.329) Data 0.001 (0.002) Loss 1.7791 (1.7729) Prec@1 56.250 (59.680) Prec@5 80.469 (81.191) Epoch: [44][1250/10010] Time 0.317 (0.329) Data 0.000 (0.002) Loss 1.5664 (1.7721) Prec@1 65.625 (59.692) Prec@5 86.719 (81.198) Epoch: [44][1260/10010] Time 0.320 (0.329) Data 0.001 (0.002) Loss 1.7126 (1.7714) Prec@1 61.719 (59.715) Prec@5 80.469 (81.206) Epoch: [44][1270/10010] Time 0.330 (0.329) Data 0.000 (0.002) Loss 1.4904 (1.7712) Prec@1 64.844 (59.720) Prec@5 86.719 (81.211) Epoch: [44][1280/10010] Time 0.331 (0.329) Data 0.001 (0.002) Loss 2.1100 (1.7707) Prec@1 52.344 (59.723) Prec@5 75.781 (81.220) Epoch: [44][1290/10010] Time 0.328 (0.329) Data 0.000 (0.002) Loss 1.9489 (1.7711) Prec@1 54.688 (59.714) Prec@5 76.562 (81.212) Epoch: [44][1300/10010] Time 0.329 (0.329) Data 0.000 (0.002) Loss 1.8638 (1.7703) Prec@1 57.031 (59.720) Prec@5 78.906 (81.219) Epoch: [44][1310/10010] Time 0.338 (0.329) Data 0.001 (0.002) Loss 1.5863 (1.7704) Prec@1 64.844 (59.714) Prec@5 86.719 (81.222) Epoch: [44][1320/10010] Time 0.323 (0.329) Data 0.001 (0.002) Loss 1.7327 (1.7706) Prec@1 62.500 (59.720) Prec@5 82.812 (81.222) Epoch: [44][1330/10010] Time 0.314 (0.329) Data 0.000 (0.002) Loss 1.8571 (1.7704) Prec@1 59.375 (59.734) Prec@5 78.906 (81.227) Epoch: [44][1340/10010] Time 0.319 (0.329) Data 0.001 (0.002) Loss 1.9912 (1.7708) Prec@1 57.031 (59.723) Prec@5 78.125 (81.224) Epoch: [44][1350/10010] Time 0.340 (0.329) Data 0.000 (0.002) Loss 1.8992 (1.7710) Prec@1 53.906 (59.710) Prec@5 75.781 (81.218) Epoch: [44][1360/10010] Time 0.326 (0.329) Data 0.001 (0.002) Loss 1.6234 (1.7716) Prec@1 57.812 (59.707) Prec@5 85.938 (81.212) Epoch: [44][1370/10010] Time 0.322 (0.329) Data 0.001 (0.002) Loss 1.7011 (1.7715) Prec@1 61.719 (59.707) Prec@5 82.812 (81.222) Epoch: [44][1380/10010] Time 0.319 (0.329) Data 0.000 (0.002) Loss 1.6917 (1.7714) Prec@1 60.938 (59.710) Prec@5 82.812 (81.229) Epoch: [44][1390/10010] Time 0.317 (0.329) Data 0.001 (0.002) Loss 1.5186 (1.7716) Prec@1 64.062 (59.707) Prec@5 83.594 (81.228) Epoch: [44][1400/10010] Time 0.328 (0.329) Data 0.001 (0.002) Loss 1.8781 (1.7715) Prec@1 58.594 (59.702) Prec@5 78.125 (81.222) Epoch: [44][1410/10010] Time 0.325 (0.329) Data 0.001 (0.002) Loss 1.3960 (1.7713) Prec@1 69.531 (59.716) Prec@5 88.281 (81.226) Epoch: [44][1420/10010] Time 0.336 (0.329) Data 0.001 (0.002) Loss 1.8463 (1.7719) Prec@1 57.812 (59.702) Prec@5 79.688 (81.219) Epoch: [44][1430/10010] Time 0.339 (0.329) Data 0.001 (0.002) Loss 1.9911 (1.7723) Prec@1 57.812 (59.701) Prec@5 78.906 (81.215) Epoch: [44][1440/10010] Time 0.326 (0.329) Data 0.000 (0.002) Loss 2.0806 (1.7730) Prec@1 54.688 (59.692) Prec@5 77.344 (81.202) Epoch: [44][1450/10010] Time 0.333 (0.329) Data 0.001 (0.002) Loss 1.5420 (1.7734) Prec@1 60.156 (59.679) Prec@5 85.156 (81.187) Epoch: [44][1460/10010] Time 0.325 (0.329) Data 0.000 (0.002) Loss 1.6407 (1.7727) Prec@1 56.250 (59.701) Prec@5 83.594 (81.198) Epoch: [44][1470/10010] Time 0.339 (0.329) Data 0.000 (0.002) Loss 1.7818 (1.7724) Prec@1 56.250 (59.701) Prec@5 81.250 (81.206) Epoch: [44][1480/10010] Time 0.333 (0.329) Data 0.001 (0.002) Loss 1.5328 (1.7719) Prec@1 62.500 (59.709) Prec@5 84.375 (81.213) Epoch: [44][1490/10010] Time 0.322 (0.329) Data 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[44][1570/10010] Time 0.332 (0.329) Data 0.000 (0.002) Loss 1.5824 (1.7717) Prec@1 67.188 (59.684) Prec@5 80.469 (81.224) Epoch: [44][1580/10010] Time 0.323 (0.329) Data 0.000 (0.002) Loss 1.6241 (1.7717) Prec@1 63.281 (59.685) Prec@5 82.031 (81.227) /data/vision/torralba/deepscene/lib/anaconda2/lib/python2.7/site-packages/PIL/TiffImagePlugin.py:692: UserWarning: Possibly corrupt EXIF data. Expecting to read 2555904 bytes but only got 0. Skipping tag 0 "Skipping tag %s" % (size, len(data), tag)) Epoch: [44][1590/10010] Time 0.329 (0.329) Data 0.000 (0.002) Loss 1.8735 (1.7711) Prec@1 60.938 (59.706) Prec@5 81.250 (81.238) Epoch: [44][1600/10010] Time 0.334 (0.329) Data 0.001 (0.002) Loss 1.5882 (1.7710) Prec@1 64.062 (59.710) Prec@5 85.156 (81.241) Epoch: [44][1610/10010] Time 0.326 (0.329) Data 0.001 (0.002) Loss 1.8536 (1.7710) Prec@1 57.031 (59.706) Prec@5 81.250 (81.241) Epoch: [44][1620/10010] Time 0.338 (0.329) Data 0.000 (0.002) Loss 2.1273 (1.7719) Prec@1 56.250 (59.680) Prec@5 76.562 (81.229) Epoch: [44][1630/10010] Time 0.338 (0.329) Data 0.001 (0.002) Loss 1.6234 (1.7725) Prec@1 64.062 (59.660) Prec@5 82.031 (81.219) Epoch: [44][1640/10010] Time 0.324 (0.329) Data 0.001 (0.002) Loss 1.8630 (1.7728) Prec@1 59.375 (59.655) Prec@5 79.688 (81.211) Epoch: [44][1650/10010] Time 0.317 (0.329) Data 0.001 (0.002) Loss 1.8363 (1.7728) Prec@1 58.594 (59.652) Prec@5 80.469 (81.212) Epoch: [44][1660/10010] Time 0.346 (0.329) Data 0.001 (0.002) Loss 1.8014 (1.7729) Prec@1 55.469 (59.645) Prec@5 82.812 (81.209) Epoch: [44][1670/10010] Time 0.324 (0.329) Data 0.001 (0.002) Loss 1.4901 (1.7730) Prec@1 64.062 (59.640) Prec@5 87.500 (81.209) Epoch: [44][1680/10010] Time 0.313 (0.329) Data 0.001 (0.002) Loss 2.0452 (1.7730) Prec@1 53.906 (59.643) Prec@5 76.562 (81.203) Epoch: [44][1690/10010] Time 0.337 (0.329) Data 0.001 (0.002) Loss 1.7741 (1.7731) Prec@1 54.688 (59.642) Prec@5 82.031 (81.204) Epoch: [44][1700/10010] Time 0.331 (0.329) Data 0.000 (0.002) Loss 1.7651 (1.7739) Prec@1 58.594 (59.616) Prec@5 81.250 (81.199) Epoch: [44][1710/10010] Time 0.319 (0.329) Data 0.000 (0.002) Loss 1.5910 (1.7738) Prec@1 63.281 (59.620) Prec@5 83.594 (81.198) Epoch: [44][1720/10010] Time 0.339 (0.329) Data 0.001 (0.002) Loss 1.7362 (1.7740) Prec@1 62.500 (59.604) Prec@5 82.031 (81.197) Epoch: [44][1730/10010] Time 0.329 (0.329) Data 0.001 (0.002) Loss 1.8303 (1.7737) Prec@1 59.375 (59.611) Prec@5 82.812 (81.203) Epoch: [44][1740/10010] Time 0.337 (0.329) Data 0.001 (0.002) Loss 1.7812 (1.7736) Prec@1 58.594 (59.610) Prec@5 78.906 (81.203) Epoch: [44][1750/10010] Time 0.320 (0.329) Data 0.001 (0.002) Loss 1.6216 (1.7735) Prec@1 57.812 (59.622) Prec@5 82.812 (81.207) Epoch: [44][1760/10010] Time 0.329 (0.329) Data 0.000 (0.002) Loss 1.8078 (1.7737) Prec@1 54.688 (59.618) Prec@5 80.469 (81.202) Epoch: [44][1770/10010] Time 0.313 (0.329) Data 0.001 (0.002) Loss 1.7591 (1.7741) Prec@1 57.812 (59.612) Prec@5 80.469 (81.199) Epoch: [44][1780/10010] Time 0.315 (0.329) Data 0.001 (0.002) Loss 1.6631 (1.7741) Prec@1 63.281 (59.607) Prec@5 85.156 (81.202) Epoch: [44][1790/10010] Time 0.332 (0.329) Data 0.000 (0.002) Loss 1.6333 (1.7736) Prec@1 61.719 (59.618) Prec@5 79.688 (81.204) Epoch: [44][1800/10010] Time 0.314 (0.329) Data 0.000 (0.002) Loss 1.9692 (1.7741) Prec@1 61.719 (59.612) Prec@5 78.125 (81.200) Epoch: [44][1810/10010] Time 0.321 (0.329) Data 0.000 (0.002) Loss 1.7347 (1.7742) Prec@1 58.594 (59.602) Prec@5 82.812 (81.197) Epoch: [44][1820/10010] Time 0.332 (0.329) Data 0.001 (0.002) Loss 1.8428 (1.7746) Prec@1 57.031 (59.603) Prec@5 79.688 (81.192) Epoch: [44][1830/10010] Time 0.338 (0.329) Data 0.000 (0.002) Loss 1.7400 (1.7752) Prec@1 61.719 (59.592) Prec@5 80.469 (81.181) Epoch: [44][1840/10010] Time 0.334 (0.329) Data 0.001 (0.002) Loss 2.2018 (1.7759) Prec@1 57.031 (59.577) Prec@5 73.438 (81.167) Epoch: [44][1850/10010] Time 0.313 (0.329) Data 0.000 (0.002) Loss 1.5351 (1.7752) Prec@1 60.938 (59.590) Prec@5 84.375 (81.185) Epoch: [44][1860/10010] Time 0.342 (0.329) Data 0.000 (0.002) Loss 2.0012 (1.7756) Prec@1 54.688 (59.583) Prec@5 78.906 (81.177) Epoch: [44][1870/10010] Time 0.334 (0.329) Data 0.001 (0.002) Loss 1.6956 (1.7760) Prec@1 59.375 (59.570) Prec@5 83.594 (81.171) Epoch: [44][1880/10010] Time 0.331 (0.329) Data 0.001 (0.002) Loss 1.6952 (1.7755) Prec@1 57.031 (59.573) Prec@5 82.812 (81.177) Epoch: [44][1890/10010] Time 0.340 (0.329) Data 0.000 (0.002) Loss 1.9266 (1.7755) Prec@1 60.156 (59.578) Prec@5 78.125 (81.180) Epoch: [44][1900/10010] Time 0.332 (0.329) Data 0.001 (0.002) Loss 1.8857 (1.7763) Prec@1 55.469 (59.560) Prec@5 75.000 (81.168) Epoch: [44][1910/10010] Time 0.329 (0.329) Data 0.000 (0.002) Loss 1.6632 (1.7763) Prec@1 63.281 (59.561) Prec@5 82.812 (81.170) Epoch: [44][1920/10010] Time 0.316 (0.329) Data 0.001 (0.002) Loss 1.5351 (1.7761) Prec@1 62.500 (59.570) Prec@5 85.156 (81.169) Epoch: [44][1930/10010] Time 0.338 (0.329) Data 0.001 (0.002) Loss 2.0031 (1.7767) Prec@1 53.906 (59.565) Prec@5 72.656 (81.158) Epoch: [44][1940/10010] Time 0.336 (0.329) Data 0.001 (0.002) Loss 1.6985 (1.7772) Prec@1 59.375 (59.551) Prec@5 82.812 (81.151) Epoch: [44][1950/10010] Time 0.334 (0.329) Data 0.000 (0.002) Loss 1.6896 (1.7767) Prec@1 64.062 (59.566) Prec@5 81.250 (81.164) Epoch: [44][1960/10010] Time 0.322 (0.329) Data 0.001 (0.002) Loss 1.5901 (1.7761) Prec@1 65.625 (59.571) Prec@5 84.375 (81.171) Epoch: [44][1970/10010] Time 0.338 (0.329) Data 0.001 (0.002) Loss 1.7488 (1.7759) Prec@1 56.250 (59.571) Prec@5 82.812 (81.175) Epoch: [44][1980/10010] Time 0.322 (0.329) Data 0.001 (0.002) Loss 1.8062 (1.7757) Prec@1 60.938 (59.575) Prec@5 74.219 (81.173) Epoch: [44][1990/10010] Time 0.311 (0.329) Data 0.001 (0.002) Loss 1.4742 (1.7754) Prec@1 63.281 (59.576) Prec@5 85.938 (81.173) Epoch: [44][2000/10010] Time 0.322 (0.329) Data 0.000 (0.002) Loss 1.9705 (1.7755) Prec@1 54.688 (59.567) Prec@5 79.688 (81.172) Epoch: [44][2010/10010] Time 0.320 (0.329) Data 0.000 (0.002) Loss 1.5543 (1.7751) Prec@1 67.969 (59.584) Prec@5 83.594 (81.179) Epoch: [44][2020/10010] Time 0.322 (0.329) Data 0.001 (0.002) Loss 1.6631 (1.7753) Prec@1 63.281 (59.584) Prec@5 82.031 (81.176) Epoch: [44][2030/10010] Time 0.318 (0.329) Data 0.001 (0.002) Loss 1.8319 (1.7752) Prec@1 62.500 (59.586) Prec@5 82.031 (81.176) Epoch: [44][2040/10010] Time 0.316 (0.329) Data 0.001 (0.002) Loss 1.8887 (1.7755) Prec@1 60.156 (59.579) Prec@5 78.125 (81.174) Epoch: [44][2050/10010] Time 0.334 (0.329) Data 0.001 (0.002) Loss 1.7006 (1.7757) Prec@1 62.500 (59.570) Prec@5 82.812 (81.169) Epoch: [44][2060/10010] Time 0.335 (0.329) Data 0.001 (0.002) Loss 1.5338 (1.7754) Prec@1 67.188 (59.574) Prec@5 83.594 (81.175) Epoch: [44][2070/10010] Time 0.334 (0.329) Data 0.001 (0.002) Loss 1.6758 (1.7752) Prec@1 59.375 (59.582) Prec@5 85.938 (81.185) Epoch: [44][2080/10010] Time 0.325 (0.329) Data 0.001 (0.002) Loss 2.3060 (1.7754) Prec@1 53.906 (59.581) Prec@5 71.875 (81.180) Epoch: [44][2090/10010] Time 0.321 (0.329) Data 0.001 (0.002) Loss 1.9573 (1.7759) Prec@1 50.781 (59.566) Prec@5 78.125 (81.173) Epoch: [44][2100/10010] Time 0.335 (0.329) Data 0.001 (0.002) Loss 1.7653 (1.7760) Prec@1 64.844 (59.566) Prec@5 80.469 (81.167) Epoch: [44][2110/10010] Time 0.330 (0.329) Data 0.001 (0.002) Loss 1.8778 (1.7765) Prec@1 62.500 (59.561) Prec@5 76.562 (81.162) Epoch: [44][2120/10010] Time 0.311 (0.329) Data 0.001 (0.002) Loss 1.6950 (1.7768) Prec@1 61.719 (59.552) Prec@5 78.906 (81.153) Epoch: [44][2130/10010] Time 0.317 (0.329) Data 0.000 (0.002) Loss 1.7718 (1.7766) Prec@1 60.938 (59.556) Prec@5 78.906 (81.152) Epoch: [44][2140/10010] Time 0.315 (0.329) Data 0.001 (0.002) Loss 1.9529 (1.7760) Prec@1 57.812 (59.563) Prec@5 77.344 (81.159) Epoch: [44][2150/10010] Time 0.314 (0.328) Data 0.001 (0.002) Loss 1.5992 (1.7760) Prec@1 61.719 (59.566) Prec@5 86.719 (81.158) Epoch: [44][2160/10010] Time 0.332 (0.328) Data 0.001 (0.002) Loss 1.6290 (1.7761) Prec@1 60.938 (59.563) Prec@5 80.469 (81.155) Epoch: [44][2170/10010] Time 0.312 (0.328) Data 0.001 (0.002) Loss 1.9049 (1.7761) Prec@1 60.156 (59.568) Prec@5 78.906 (81.156) Epoch: [44][2180/10010] Time 0.334 (0.328) Data 0.001 (0.002) Loss 2.1594 (1.7763) Prec@1 50.781 (59.564) Prec@5 76.562 (81.149) Epoch: [44][2190/10010] Time 0.332 (0.328) Data 0.000 (0.002) Loss 1.8760 (1.7767) Prec@1 59.375 (59.563) Prec@5 78.125 (81.148) Epoch: [44][2200/10010] Time 0.322 (0.328) Data 0.001 (0.002) Loss 1.6422 (1.7769) Prec@1 62.500 (59.563) Prec@5 81.250 (81.144) Epoch: [44][2210/10010] Time 0.321 (0.328) Data 0.001 (0.002) Loss 1.7511 (1.7774) Prec@1 56.250 (59.554) Prec@5 85.938 (81.140) Epoch: [44][2220/10010] Time 0.333 (0.328) Data 0.001 (0.002) Loss 2.0073 (1.7774) Prec@1 54.688 (59.555) Prec@5 78.906 (81.141) Epoch: [44][2230/10010] Time 0.336 (0.328) Data 0.000 (0.002) Loss 2.0314 (1.7777) Prec@1 58.594 (59.552) Prec@5 76.562 (81.135) Epoch: [44][2240/10010] Time 0.331 (0.328) Data 0.001 (0.002) Loss 2.1295 (1.7777) Prec@1 57.812 (59.555) Prec@5 73.438 (81.131) Epoch: [44][2250/10010] Time 0.321 (0.328) Data 0.001 (0.002) Loss 1.9905 (1.7778) Prec@1 52.344 (59.553) Prec@5 74.219 (81.126) Epoch: [44][2260/10010] Time 0.319 (0.328) Data 0.001 (0.002) Loss 2.1140 (1.7780) Prec@1 50.781 (59.549) Prec@5 79.688 (81.127) Epoch: [44][2270/10010] Time 0.343 (0.328) Data 0.000 (0.002) Loss 2.2555 (1.7785) Prec@1 53.125 (59.538) Prec@5 73.438 (81.120) Epoch: [44][2280/10010] Time 0.332 (0.328) Data 0.001 (0.002) Loss 1.5474 (1.7785) Prec@1 62.500 (59.535) Prec@5 86.719 (81.114) Epoch: [44][2290/10010] Time 0.340 (0.328) Data 0.000 (0.002) Loss 1.9825 (1.7787) Prec@1 57.031 (59.532) Prec@5 77.344 (81.113) Epoch: [44][2300/10010] Time 0.326 (0.328) Data 0.001 (0.002) Loss 1.8605 (1.7787) Prec@1 60.938 (59.534) Prec@5 77.344 (81.116) Epoch: [44][2310/10010] Time 0.339 (0.328) Data 0.000 (0.002) Loss 1.8073 (1.7789) Prec@1 62.500 (59.536) Prec@5 77.344 (81.114) Epoch: [44][2320/10010] Time 0.315 (0.328) Data 0.001 (0.002) Loss 1.7017 (1.7792) Prec@1 58.594 (59.530) Prec@5 82.812 (81.107) Epoch: [44][2330/10010] Time 0.334 (0.328) Data 0.001 (0.002) Loss 2.1566 (1.7791) Prec@1 57.812 (59.534) Prec@5 75.000 (81.107) Epoch: [44][2340/10010] Time 0.331 (0.328) Data 0.000 (0.002) Loss 1.6491 (1.7793) Prec@1 60.938 (59.524) Prec@5 83.594 (81.099) Epoch: [44][2350/10010] Time 0.341 (0.328) Data 0.000 (0.002) Loss 1.7523 (1.7797) Prec@1 60.156 (59.518) Prec@5 81.250 (81.089) Epoch: [44][2360/10010] Time 0.315 (0.328) Data 0.001 (0.002) Loss 1.9733 (1.7797) Prec@1 60.938 (59.520) Prec@5 80.469 (81.091) Epoch: [44][2370/10010] Time 0.340 (0.328) Data 0.001 (0.002) Loss 2.2927 (1.7799) Prec@1 52.344 (59.515) Prec@5 75.781 (81.089) Epoch: [44][2380/10010] Time 0.318 (0.328) Data 0.000 (0.002) Loss 1.6557 (1.7801) Prec@1 63.281 (59.518) Prec@5 82.812 (81.090) Epoch: [44][2390/10010] Time 0.342 (0.328) Data 0.000 (0.002) Loss 1.9242 (1.7797) Prec@1 50.781 (59.524) Prec@5 85.156 (81.099) Epoch: [44][2400/10010] Time 0.318 (0.328) Data 0.001 (0.002) Loss 1.6095 (1.7795) Prec@1 60.938 (59.521) Prec@5 79.688 (81.103) Epoch: [44][2410/10010] Time 0.336 (0.328) Data 0.001 (0.002) Loss 2.0057 (1.7796) Prec@1 57.031 (59.520) Prec@5 77.344 (81.104) Epoch: [44][2420/10010] Time 0.329 (0.328) Data 0.001 (0.002) Loss 1.7777 (1.7797) Prec@1 56.250 (59.517) Prec@5 81.250 (81.101) Epoch: [44][2430/10010] Time 0.320 (0.328) Data 0.001 (0.002) Loss 1.6688 (1.7793) Prec@1 62.500 (59.524) Prec@5 81.250 (81.104) Epoch: [44][2440/10010] Time 0.340 (0.328) Data 0.001 (0.002) Loss 1.5585 (1.7794) Prec@1 62.500 (59.527) Prec@5 82.812 (81.105) Epoch: [44][2450/10010] Time 0.320 (0.328) Data 0.001 (0.002) Loss 1.7311 (1.7793) Prec@1 53.906 (59.532) Prec@5 80.469 (81.106) Epoch: [44][2460/10010] Time 0.335 (0.328) Data 0.000 (0.002) Loss 1.4704 (1.7791) Prec@1 63.281 (59.537) Prec@5 88.281 (81.106) Epoch: [44][2470/10010] Time 0.334 (0.328) Data 0.001 (0.002) Loss 1.8027 (1.7791) Prec@1 54.688 (59.536) Prec@5 82.812 (81.108) Epoch: [44][2480/10010] Time 0.315 (0.328) Data 0.001 (0.002) Loss 2.0168 (1.7792) Prec@1 56.250 (59.533) Prec@5 77.344 (81.112) Epoch: [44][2490/10010] Time 0.329 (0.328) Data 0.001 (0.002) Loss 1.8776 (1.7796) Prec@1 57.812 (59.523) Prec@5 79.688 (81.108) Epoch: [44][2500/10010] Time 0.309 (0.328) Data 0.001 (0.002) Loss 1.5675 (1.7794) Prec@1 63.281 (59.530) Prec@5 85.938 (81.109) Epoch: [44][2510/10010] Time 0.317 (0.328) Data 0.001 (0.002) Loss 1.8508 (1.7796) Prec@1 57.031 (59.524) Prec@5 82.031 (81.109) Epoch: [44][2520/10010] Time 0.316 (0.328) Data 0.000 (0.002) Loss 1.9177 (1.7799) Prec@1 56.250 (59.526) Prec@5 81.250 (81.109) Epoch: [44][2530/10010] Time 0.316 (0.328) Data 0.001 (0.002) Loss 1.8872 (1.7800) Prec@1 57.031 (59.520) Prec@5 78.906 (81.109) Epoch: [44][2540/10010] Time 0.338 (0.328) Data 0.001 (0.002) Loss 1.5773 (1.7800) Prec@1 59.375 (59.518) Prec@5 87.500 (81.110) Epoch: [44][2550/10010] Time 0.320 (0.328) Data 0.000 (0.002) Loss 1.4918 (1.7801) Prec@1 63.281 (59.517) Prec@5 86.719 (81.109) Epoch: [44][2560/10010] Time 0.319 (0.328) Data 0.001 (0.002) Loss 2.0188 (1.7805) Prec@1 48.438 (59.504) Prec@5 75.781 (81.102) Epoch: [44][2570/10010] Time 0.318 (0.328) Data 0.001 (0.002) Loss 1.7984 (1.7812) Prec@1 57.812 (59.492) Prec@5 82.031 (81.090) Epoch: [44][2580/10010] Time 0.328 (0.328) Data 0.001 (0.002) Loss 1.9227 (1.7812) Prec@1 59.375 (59.489) Prec@5 80.469 (81.091) Epoch: [44][2590/10010] Time 0.314 (0.328) Data 0.001 (0.002) Loss 1.6946 (1.7813) Prec@1 62.500 (59.490) Prec@5 79.688 (81.087) Epoch: [44][2600/10010] Time 0.335 (0.328) Data 0.001 (0.002) Loss 1.8165 (1.7811) Prec@1 56.250 (59.489) Prec@5 78.906 (81.094) Epoch: [44][2610/10010] Time 0.317 (0.328) Data 0.001 (0.002) Loss 1.6203 (1.7814) Prec@1 62.500 (59.485) Prec@5 85.938 (81.091) Epoch: [44][2620/10010] Time 0.319 (0.328) Data 0.000 (0.002) Loss 1.6484 (1.7816) Prec@1 58.594 (59.483) Prec@5 84.375 (81.085) Epoch: [44][2630/10010] Time 0.332 (0.328) Data 0.001 (0.002) Loss 1.9870 (1.7818) Prec@1 57.812 (59.480) Prec@5 78.906 (81.086) Epoch: [44][2640/10010] Time 0.324 (0.328) Data 0.001 (0.001) Loss 1.9888 (1.7821) Prec@1 58.594 (59.479) Prec@5 74.219 (81.080) Epoch: [44][2650/10010] Time 0.316 (0.328) Data 0.001 (0.001) Loss 1.5724 (1.7819) Prec@1 63.281 (59.481) Prec@5 83.594 (81.083) Epoch: [44][2660/10010] Time 0.334 (0.328) Data 0.000 (0.001) Loss 1.7203 (1.7819) Prec@1 62.500 (59.483) Prec@5 78.125 (81.082) Epoch: [44][2670/10010] Time 0.319 (0.328) Data 0.000 (0.001) Loss 1.5888 (1.7817) Prec@1 58.594 (59.486) Prec@5 81.250 (81.080) Epoch: [44][2680/10010] Time 0.332 (0.328) Data 0.000 (0.001) Loss 1.7739 (1.7816) Prec@1 60.938 (59.490) Prec@5 83.594 (81.082) Epoch: [44][2690/10010] Time 0.317 (0.328) Data 0.001 (0.001) Loss 1.5681 (1.7818) Prec@1 61.719 (59.487) Prec@5 81.250 (81.076) /data/vision/torralba/deepscene/lib/anaconda2/lib/python2.7/site-packages/PIL/TiffImagePlugin.py:692: UserWarning: Possibly corrupt EXIF data. Expecting to read 2555904 bytes but only got 0. Skipping tag 0 "Skipping tag %s" % (size, len(data), tag)) Epoch: [44][2700/10010] Time 0.324 (0.328) Data 0.001 (0.001) Loss 1.8201 (1.7817) Prec@1 58.594 (59.490) Prec@5 78.906 (81.074) Epoch: [44][2710/10010] Time 0.338 (0.328) Data 0.000 (0.001) Loss 1.8455 (1.7821) Prec@1 58.594 (59.486) Prec@5 75.781 (81.065) Epoch: [44][2720/10010] Time 0.324 (0.328) Data 0.000 (0.001) Loss 1.8083 (1.7823) Prec@1 64.062 (59.481) Prec@5 78.125 (81.061) Epoch: [44][2730/10010] Time 0.323 (0.328) Data 0.001 (0.001) Loss 1.5507 (1.7821) Prec@1 65.625 (59.485) Prec@5 83.594 (81.061) Epoch: [44][2740/10010] Time 0.327 (0.328) Data 0.001 (0.001) Loss 1.9461 (1.7820) Prec@1 59.375 (59.489) Prec@5 79.688 (81.064) Epoch: [44][2750/10010] Time 0.331 (0.328) Data 0.001 (0.001) Loss 1.9712 (1.7818) Prec@1 54.688 (59.490) Prec@5 78.906 (81.069) Epoch: [44][2760/10010] Time 0.328 (0.328) Data 0.000 (0.001) Loss 1.7849 (1.7821) Prec@1 58.594 (59.486) Prec@5 81.250 (81.064) Epoch: [44][2770/10010] Time 0.341 (0.328) Data 0.001 (0.001) Loss 1.8184 (1.7820) Prec@1 60.156 (59.486) Prec@5 79.688 (81.067) Epoch: [44][2780/10010] Time 0.328 (0.328) Data 0.001 (0.001) Loss 2.0301 (1.7821) Prec@1 52.344 (59.485) Prec@5 78.125 (81.063) Epoch: [44][2790/10010] Time 0.318 (0.328) Data 0.001 (0.001) Loss 1.7500 (1.7821) Prec@1 62.500 (59.485) Prec@5 82.812 (81.064) Epoch: [44][2800/10010] Time 0.327 (0.328) Data 0.001 (0.001) Loss 1.6182 (1.7823) Prec@1 65.625 (59.481) Prec@5 84.375 (81.061) Epoch: [44][2810/10010] Time 0.339 (0.328) Data 0.001 (0.001) Loss 1.7379 (1.7818) Prec@1 62.500 (59.492) Prec@5 84.375 (81.065) Epoch: [44][2820/10010] Time 0.335 (0.328) Data 0.001 (0.001) Loss 2.0008 (1.7822) Prec@1 53.906 (59.480) Prec@5 79.688 (81.062) Epoch: [44][2830/10010] Time 0.327 (0.328) Data 0.000 (0.001) Loss 2.3121 (1.7824) Prec@1 49.219 (59.473) Prec@5 67.969 (81.057) Epoch: [44][2840/10010] Time 0.315 (0.328) Data 0.001 (0.001) Loss 1.9485 (1.7824) Prec@1 50.781 (59.477) Prec@5 78.906 (81.056) Epoch: [44][2850/10010] Time 0.316 (0.328) Data 0.001 (0.001) Loss 1.5419 (1.7824) Prec@1 63.281 (59.480) Prec@5 84.375 (81.060) Epoch: [44][2860/10010] Time 0.318 (0.328) Data 0.001 (0.001) Loss 1.6263 (1.7822) Prec@1 63.281 (59.486) Prec@5 85.156 (81.062) Epoch: [44][2870/10010] Time 0.328 (0.328) Data 0.000 (0.001) Loss 1.8964 (1.7823) Prec@1 57.812 (59.480) Prec@5 78.906 (81.061) Epoch: [44][2880/10010] Time 0.339 (0.328) Data 0.000 (0.001) Loss 1.7741 (1.7820) Prec@1 59.375 (59.487) Prec@5 78.906 (81.065) Epoch: [44][2890/10010] Time 0.339 (0.328) Data 0.001 (0.001) Loss 2.0211 (1.7820) Prec@1 56.250 (59.481) Prec@5 78.125 (81.062) Epoch: [44][2900/10010] Time 0.319 (0.328) Data 0.001 (0.001) Loss 1.6729 (1.7822) Prec@1 63.281 (59.476) Prec@5 84.375 (81.063) Epoch: [44][2910/10010] Time 0.327 (0.328) Data 0.000 (0.001) Loss 2.0066 (1.7823) Prec@1 59.375 (59.477) Prec@5 75.000 (81.062) Epoch: [44][2920/10010] Time 0.335 (0.328) Data 0.000 (0.001) Loss 1.7810 (1.7823) Prec@1 62.500 (59.476) Prec@5 78.906 (81.063) Epoch: [44][2930/10010] Time 0.327 (0.328) Data 0.001 (0.001) Loss 2.1813 (1.7827) Prec@1 55.469 (59.471) Prec@5 74.219 (81.055) Epoch: [44][2940/10010] Time 0.317 (0.328) Data 0.001 (0.001) Loss 1.8624 (1.7829) Prec@1 58.594 (59.469) Prec@5 80.469 (81.054) Epoch: [44][2950/10010] Time 0.318 (0.328) Data 0.000 (0.001) Loss 1.6873 (1.7828) Prec@1 62.500 (59.473) Prec@5 80.469 (81.057) Epoch: [44][2960/10010] Time 0.324 (0.328) Data 0.001 (0.001) Loss 1.8415 (1.7831) Prec@1 59.375 (59.469) Prec@5 78.125 (81.051) Epoch: [44][2970/10010] Time 0.319 (0.328) Data 0.001 (0.001) Loss 1.6530 (1.7831) Prec@1 64.062 (59.467) Prec@5 84.375 (81.055) Epoch: [44][2980/10010] Time 0.331 (0.328) Data 0.001 (0.001) Loss 1.4940 (1.7831) Prec@1 68.750 (59.473) Prec@5 85.156 (81.054) Epoch: [44][2990/10010] Time 0.340 (0.328) Data 0.000 (0.001) Loss 1.7086 (1.7834) Prec@1 57.031 (59.469) Prec@5 85.156 (81.051) Epoch: [44][3000/10010] Time 0.338 (0.328) Data 0.001 (0.001) Loss 2.0813 (1.7833) Prec@1 53.125 (59.470) Prec@5 76.562 (81.053) Epoch: [44][3010/10010] Time 0.330 (0.328) Data 0.001 (0.001) Loss 1.8621 (1.7833) Prec@1 58.594 (59.466) Prec@5 77.344 (81.051) Epoch: [44][3020/10010] Time 0.315 (0.328) Data 0.001 (0.001) Loss 1.8255 (1.7833) Prec@1 57.031 (59.462) Prec@5 82.812 (81.051) Epoch: [44][3030/10010] Time 0.336 (0.328) Data 0.000 (0.001) Loss 2.0889 (1.7832) Prec@1 54.688 (59.463) Prec@5 78.125 (81.055) Epoch: [44][3040/10010] Time 0.338 (0.328) Data 0.000 (0.001) Loss 2.0698 (1.7832) Prec@1 57.031 (59.466) Prec@5 73.438 (81.054) Epoch: [44][3050/10010] Time 0.333 (0.328) Data 0.001 (0.001) Loss 1.6838 (1.7831) Prec@1 58.594 (59.466) Prec@5 80.469 (81.054) Epoch: [44][3060/10010] Time 0.324 (0.328) Data 0.000 (0.001) Loss 2.0297 (1.7831) Prec@1 50.781 (59.466) Prec@5 75.000 (81.053) Epoch: [44][3070/10010] Time 0.333 (0.328) Data 0.000 (0.001) Loss 1.8102 (1.7832) Prec@1 60.938 (59.466) Prec@5 76.562 (81.052) Epoch: [44][3080/10010] Time 0.322 (0.328) Data 0.001 (0.001) Loss 1.7770 (1.7833) Prec@1 57.031 (59.468) Prec@5 82.031 (81.051) Epoch: [44][3090/10010] Time 0.336 (0.328) Data 0.000 (0.001) Loss 1.6956 (1.7830) Prec@1 57.812 (59.473) Prec@5 84.375 (81.057) Epoch: [44][3100/10010] Time 0.338 (0.328) Data 0.000 (0.001) Loss 1.8522 (1.7830) Prec@1 62.500 (59.473) Prec@5 78.906 (81.059) Epoch: [44][3110/10010] Time 0.322 (0.328) Data 0.001 (0.001) Loss 1.5917 (1.7830) Prec@1 70.312 (59.475) Prec@5 82.812 (81.059) Epoch: [44][3120/10010] Time 0.335 (0.328) Data 0.001 (0.001) Loss 2.0395 (1.7833) Prec@1 53.906 (59.472) Prec@5 77.344 (81.055) Epoch: [44][3130/10010] Time 0.330 (0.328) Data 0.001 (0.001) Loss 1.8086 (1.7835) Prec@1 55.469 (59.465) Prec@5 83.594 (81.051) Epoch: [44][3140/10010] Time 0.334 (0.328) Data 0.001 (0.001) Loss 1.7189 (1.7835) Prec@1 63.281 (59.461) Prec@5 82.812 (81.049) Epoch: [44][3150/10010] Time 0.331 (0.328) Data 0.000 (0.001) Loss 1.9397 (1.7832) Prec@1 53.906 (59.465) Prec@5 76.562 (81.054) Epoch: [44][3160/10010] Time 0.322 (0.328) Data 0.001 (0.001) Loss 1.9164 (1.7833) Prec@1 55.469 (59.459) Prec@5 77.344 (81.057) Epoch: [44][3170/10010] Time 0.314 (0.328) Data 0.001 (0.001) Loss 1.4936 (1.7833) Prec@1 68.750 (59.458) Prec@5 86.719 (81.059) /data/vision/torralba/deepscene/lib/anaconda2/lib/python2.7/site-packages/PIL/TiffImagePlugin.py:709: UserWarning: Corrupt EXIF data. Expecting to read 4 bytes but only got 0. warnings.warn(str(msg)) Epoch: [44][3180/10010] Time 0.333 (0.328) Data 0.001 (0.001) Loss 1.8999 (1.7833) Prec@1 52.344 (59.452) Prec@5 81.250 (81.058) Epoch: [44][3190/10010] Time 0.333 (0.328) Data 0.000 (0.001) Loss 1.8193 (1.7835) Prec@1 55.469 (59.449) Prec@5 82.812 (81.054) Epoch: [44][3200/10010] Time 0.322 (0.328) Data 0.001 (0.001) Loss 1.9743 (1.7836) Prec@1 49.219 (59.441) Prec@5 78.125 (81.053) Epoch: [44][3210/10010] Time 0.321 (0.328) Data 0.001 (0.001) Loss 1.9590 (1.7834) Prec@1 53.125 (59.440) Prec@5 78.125 (81.054) Epoch: [44][3220/10010] Time 0.339 (0.328) Data 0.000 (0.001) Loss 1.6618 (1.7835) Prec@1 67.188 (59.439) Prec@5 84.375 (81.056) Epoch: [44][3230/10010] Time 0.329 (0.328) Data 0.001 (0.001) Loss 1.6522 (1.7835) Prec@1 61.719 (59.437) Prec@5 84.375 (81.056) Epoch: [44][3240/10010] Time 0.333 (0.328) Data 0.001 (0.001) Loss 1.9373 (1.7837) Prec@1 59.375 (59.437) Prec@5 80.469 (81.053) Epoch: [44][3250/10010] Time 0.326 (0.328) Data 0.001 (0.001) Loss 1.6037 (1.7837) Prec@1 66.406 (59.443) Prec@5 83.594 (81.053) Epoch: [44][3260/10010] Time 0.313 (0.328) Data 0.001 (0.001) Loss 1.7370 (1.7841) Prec@1 60.938 (59.434) Prec@5 85.938 (81.051) Epoch: [44][3270/10010] Time 0.326 (0.328) Data 0.001 (0.001) Loss 1.8900 (1.7843) Prec@1 59.375 (59.435) Prec@5 78.125 (81.047) Epoch: [44][3280/10010] Time 0.320 (0.328) Data 0.000 (0.001) Loss 1.8787 (1.7845) Prec@1 54.688 (59.432) Prec@5 78.906 (81.041) Epoch: [44][3290/10010] Time 0.328 (0.328) Data 0.001 (0.001) Loss 1.8349 (1.7844) Prec@1 63.281 (59.430) Prec@5 78.906 (81.039) Epoch: [44][3300/10010] Time 0.316 (0.328) Data 0.000 (0.001) Loss 1.7199 (1.7845) Prec@1 58.594 (59.424) Prec@5 80.469 (81.037) Epoch: [44][3310/10010] Time 0.326 (0.328) Data 0.000 (0.001) Loss 1.9528 (1.7848) Prec@1 54.688 (59.421) Prec@5 79.688 (81.036) Epoch: [44][3320/10010] Time 0.326 (0.328) Data 0.001 (0.001) Loss 2.0204 (1.7850) Prec@1 59.375 (59.420) Prec@5 78.125 (81.036) Epoch: [44][3330/10010] Time 0.330 (0.328) Data 0.001 (0.001) Loss 1.8027 (1.7852) Prec@1 58.594 (59.413) Prec@5 78.906 (81.033) Epoch: [44][3340/10010] Time 0.314 (0.328) Data 0.001 (0.001) Loss 1.9608 (1.7849) Prec@1 61.719 (59.416) Prec@5 81.250 (81.037) Epoch: [44][3350/10010] Time 0.316 (0.328) Data 0.001 (0.001) Loss 1.6425 (1.7847) Prec@1 61.719 (59.423) Prec@5 83.594 (81.043) Epoch: [44][3360/10010] Time 0.327 (0.328) Data 0.000 (0.001) Loss 1.6338 (1.7849) Prec@1 60.156 (59.417) Prec@5 82.031 (81.042) Epoch: [44][3370/10010] Time 0.313 (0.328) Data 0.001 (0.001) Loss 1.8206 (1.7851) Prec@1 55.469 (59.413) Prec@5 78.906 (81.039) Epoch: [44][3380/10010] Time 0.323 (0.328) Data 0.001 (0.001) Loss 1.7315 (1.7850) Prec@1 64.844 (59.408) Prec@5 84.375 (81.043) Epoch: [44][3390/10010] Time 0.319 (0.328) Data 0.000 (0.001) Loss 1.7931 (1.7852) Prec@1 62.500 (59.404) Prec@5 84.375 (81.043) Epoch: [44][3400/10010] Time 0.330 (0.328) Data 0.001 (0.001) Loss 1.9954 (1.7853) Prec@1 58.594 (59.402) Prec@5 75.781 (81.043) Epoch: [44][3410/10010] Time 0.317 (0.328) Data 0.001 (0.001) Loss 1.9220 (1.7856) Prec@1 53.906 (59.397) Prec@5 77.344 (81.036) Epoch: [44][3420/10010] Time 0.316 (0.328) Data 0.001 (0.001) Loss 2.0145 (1.7858) Prec@1 51.562 (59.394) Prec@5 78.125 (81.033) Epoch: [44][3430/10010] Time 0.319 (0.328) Data 0.000 (0.001) Loss 1.7440 (1.7859) Prec@1 62.500 (59.393) Prec@5 81.250 (81.028) Epoch: [44][3440/10010] Time 0.319 (0.328) Data 0.001 (0.001) Loss 1.8211 (1.7859) Prec@1 53.906 (59.390) Prec@5 84.375 (81.032) Epoch: [44][3450/10010] Time 0.314 (0.328) Data 0.001 (0.001) Loss 1.6350 (1.7859) Prec@1 61.719 (59.389) Prec@5 80.469 (81.028) Epoch: [44][3460/10010] Time 0.317 (0.328) Data 0.000 (0.001) Loss 1.5448 (1.7856) Prec@1 62.500 (59.391) Prec@5 84.375 (81.035) Epoch: [44][3470/10010] Time 0.318 (0.328) Data 0.001 (0.001) Loss 2.0346 (1.7857) Prec@1 55.469 (59.392) Prec@5 71.875 (81.029) Epoch: [44][3480/10010] Time 0.313 (0.328) Data 0.001 (0.001) Loss 1.8314 (1.7858) Prec@1 57.812 (59.389) Prec@5 78.906 (81.027) Epoch: [44][3490/10010] Time 0.325 (0.328) Data 0.000 (0.001) Loss 2.0316 (1.7860) Prec@1 54.688 (59.382) Prec@5 75.781 (81.022) Epoch: [44][3500/10010] Time 0.324 (0.328) Data 0.001 (0.001) Loss 2.1460 (1.7863) Prec@1 50.000 (59.377) Prec@5 73.438 (81.017) Epoch: [44][3510/10010] Time 0.318 (0.328) Data 0.001 (0.001) Loss 1.6589 (1.7863) Prec@1 60.156 (59.377) Prec@5 84.375 (81.018) Epoch: [44][3520/10010] Time 0.324 (0.328) Data 0.001 (0.001) Loss 1.6986 (1.7865) Prec@1 58.594 (59.369) Prec@5 82.812 (81.015) Epoch: [44][3530/10010] Time 0.313 (0.328) Data 0.001 (0.001) Loss 1.7535 (1.7861) Prec@1 58.594 (59.380) Prec@5 81.250 (81.025) Epoch: [44][3540/10010] Time 0.320 (0.328) Data 0.000 (0.001) Loss 1.6362 (1.7863) Prec@1 64.062 (59.381) Prec@5 82.812 (81.026) Epoch: [44][3550/10010] Time 0.335 (0.328) Data 0.001 (0.001) Loss 1.7511 (1.7861) Prec@1 61.719 (59.382) Prec@5 83.594 (81.029) Epoch: [44][3560/10010] Time 0.329 (0.328) Data 0.001 (0.001) Loss 1.7841 (1.7863) Prec@1 55.469 (59.376) Prec@5 81.250 (81.026) Epoch: [44][3570/10010] Time 0.326 (0.328) Data 0.001 (0.001) Loss 1.7316 (1.7863) Prec@1 60.938 (59.375) Prec@5 76.562 (81.025) Epoch: [44][3580/10010] Time 0.315 (0.328) Data 0.001 (0.001) Loss 2.0013 (1.7863) Prec@1 53.125 (59.378) Prec@5 79.688 (81.027) Epoch: [44][3590/10010] Time 0.325 (0.328) Data 0.001 (0.001) Loss 1.3803 (1.7862) Prec@1 67.969 (59.381) Prec@5 89.062 (81.029) Epoch: [44][3600/10010] Time 0.341 (0.328) Data 0.001 (0.001) Loss 1.5493 (1.7860) Prec@1 65.625 (59.386) Prec@5 86.719 (81.032) Epoch: [44][3610/10010] Time 0.330 (0.328) Data 0.000 (0.001) Loss 1.7369 (1.7858) Prec@1 63.281 (59.392) Prec@5 83.594 (81.034) Epoch: [44][3620/10010] Time 0.336 (0.328) Data 0.000 (0.001) Loss 2.0621 (1.7863) Prec@1 56.250 (59.386) Prec@5 78.906 (81.026) Epoch: [44][3630/10010] Time 0.323 (0.328) Data 0.001 (0.001) Loss 1.8896 (1.7862) Prec@1 57.031 (59.389) Prec@5 80.469 (81.028) Epoch: [44][3640/10010] Time 0.321 (0.328) Data 0.000 (0.001) Loss 1.9425 (1.7860) Prec@1 53.125 (59.389) Prec@5 75.781 (81.033) Epoch: [44][3650/10010] Time 0.320 (0.328) Data 0.000 (0.001) Loss 1.5249 (1.7858) Prec@1 64.844 (59.391) Prec@5 85.938 (81.036) Epoch: [44][3660/10010] Time 0.325 (0.328) Data 0.000 (0.001) Loss 2.0270 (1.7859) Prec@1 57.812 (59.391) Prec@5 76.562 (81.033) Epoch: [44][3670/10010] Time 0.329 (0.328) Data 0.001 (0.001) Loss 1.8201 (1.7860) Prec@1 54.688 (59.386) Prec@5 82.031 (81.032) Epoch: [44][3680/10010] Time 0.322 (0.328) Data 0.000 (0.001) Loss 1.8756 (1.7865) Prec@1 58.594 (59.377) Prec@5 82.031 (81.027) Epoch: [44][3690/10010] Time 0.326 (0.328) Data 0.001 (0.001) Loss 1.7743 (1.7863) Prec@1 58.594 (59.381) Prec@5 79.688 (81.030) Epoch: [44][3700/10010] Time 0.330 (0.328) Data 0.001 (0.001) Loss 1.9933 (1.7862) Prec@1 57.812 (59.388) Prec@5 75.781 (81.032) Epoch: [44][3710/10010] Time 0.329 (0.328) Data 0.001 (0.001) Loss 1.8454 (1.7861) Prec@1 58.594 (59.394) Prec@5 82.031 (81.032) Epoch: [44][3720/10010] Time 0.319 (0.328) Data 0.000 (0.001) Loss 1.6807 (1.7858) Prec@1 60.156 (59.397) Prec@5 83.594 (81.037) Epoch: [44][3730/10010] Time 0.336 (0.328) Data 0.001 (0.001) Loss 2.1260 (1.7861) Prec@1 58.594 (59.395) Prec@5 76.562 (81.037) Epoch: [44][3740/10010] Time 0.339 (0.328) Data 0.001 (0.001) Loss 1.7527 (1.7861) Prec@1 61.719 (59.397) Prec@5 80.469 (81.040) Epoch: [44][3750/10010] Time 0.335 (0.328) Data 0.000 (0.001) Loss 1.7004 (1.7861) Prec@1 60.156 (59.397) Prec@5 86.719 (81.038) Epoch: [44][3760/10010] Time 0.334 (0.328) Data 0.001 (0.001) Loss 1.6622 (1.7862) Prec@1 60.156 (59.391) Prec@5 84.375 (81.034) Epoch: [44][3770/10010] Time 0.322 (0.328) Data 0.000 (0.001) Loss 1.4843 (1.7864) Prec@1 67.188 (59.390) Prec@5 86.719 (81.032) Epoch: [44][3780/10010] Time 0.319 (0.328) Data 0.000 (0.001) Loss 1.4543 (1.7864) Prec@1 66.406 (59.391) Prec@5 85.938 (81.033) Epoch: [44][3790/10010] Time 0.338 (0.328) Data 0.001 (0.001) Loss 1.5317 (1.7865) Prec@1 67.969 (59.390) Prec@5 82.812 (81.031) Epoch: [44][3800/10010] Time 0.315 (0.328) Data 0.001 (0.001) Loss 2.0265 (1.7864) Prec@1 51.562 (59.390) Prec@5 77.344 (81.034) Epoch: [44][3810/10010] Time 0.339 (0.328) Data 0.000 (0.001) Loss 1.3878 (1.7863) Prec@1 64.062 (59.390) Prec@5 88.281 (81.037) Epoch: [44][3820/10010] Time 0.327 (0.328) Data 0.001 (0.001) Loss 1.7289 (1.7863) Prec@1 63.281 (59.393) Prec@5 79.688 (81.037) Epoch: [44][3830/10010] Time 0.337 (0.328) Data 0.000 (0.001) Loss 1.9037 (1.7865) Prec@1 58.594 (59.389) Prec@5 80.469 (81.037) Epoch: [44][3840/10010] Time 0.318 (0.328) Data 0.001 (0.001) Loss 1.7857 (1.7863) Prec@1 55.469 (59.390) Prec@5 82.812 (81.039) Epoch: [44][3850/10010] Time 0.330 (0.328) Data 0.001 (0.001) Loss 1.8645 (1.7865) Prec@1 57.031 (59.384) Prec@5 79.688 (81.037) Epoch: [44][3860/10010] Time 0.340 (0.328) Data 0.001 (0.001) Loss 1.5804 (1.7864) Prec@1 64.844 (59.380) Prec@5 85.156 (81.040) Epoch: [44][3870/10010] Time 0.331 (0.328) Data 0.001 (0.001) Loss 1.7039 (1.7864) Prec@1 60.156 (59.379) Prec@5 81.250 (81.037) Epoch: [44][3880/10010] Time 0.336 (0.328) Data 0.001 (0.001) Loss 1.6182 (1.7862) Prec@1 62.500 (59.386) Prec@5 85.156 (81.041) Epoch: [44][3890/10010] Time 0.341 (0.328) Data 0.000 (0.001) Loss 1.6566 (1.7860) Prec@1 60.938 (59.389) Prec@5 82.031 (81.045) Epoch: [44][3900/10010] Time 0.314 (0.328) Data 0.001 (0.001) Loss 1.7678 (1.7860) Prec@1 56.250 (59.389) Prec@5 85.156 (81.044) Epoch: [44][3910/10010] Time 0.339 (0.328) Data 0.001 (0.001) Loss 1.4687 (1.7860) Prec@1 58.594 (59.389) Prec@5 87.500 (81.042) Epoch: [44][3920/10010] Time 0.333 (0.328) Data 0.000 (0.001) Loss 1.7469 (1.7859) Prec@1 63.281 (59.388) Prec@5 82.812 (81.045) Epoch: [44][3930/10010] Time 0.318 (0.328) Data 0.001 (0.001) Loss 1.7854 (1.7859) Prec@1 64.844 (59.388) Prec@5 79.688 (81.046) Epoch: [44][3940/10010] Time 0.318 (0.328) Data 0.000 (0.001) Loss 1.7274 (1.7861) Prec@1 58.594 (59.386) Prec@5 84.375 (81.046) Epoch: [44][3950/10010] Time 0.335 (0.328) Data 0.001 (0.001) Loss 1.5384 (1.7861) Prec@1 65.625 (59.384) Prec@5 85.156 (81.044) Epoch: [44][3960/10010] Time 0.320 (0.328) Data 0.001 (0.001) Loss 1.8963 (1.7861) Prec@1 55.469 (59.386) Prec@5 78.125 (81.041) Epoch: [44][3970/10010] Time 0.323 (0.328) Data 0.000 (0.001) Loss 1.4873 (1.7860) Prec@1 61.719 (59.386) Prec@5 85.938 (81.041) Epoch: [44][3980/10010] Time 0.326 (0.328) Data 0.000 (0.001) Loss 1.7425 (1.7861) Prec@1 58.594 (59.384) Prec@5 78.906 (81.038) Epoch: [44][3990/10010] Time 0.338 (0.328) Data 0.001 (0.001) Loss 1.8076 (1.7861) Prec@1 57.812 (59.388) Prec@5 80.469 (81.038) Epoch: [44][4000/10010] Time 0.331 (0.328) Data 0.001 (0.001) Loss 1.4476 (1.7863) Prec@1 67.969 (59.386) Prec@5 84.375 (81.033) Epoch: [44][4010/10010] Time 0.317 (0.328) Data 0.001 (0.001) Loss 1.8312 (1.7862) Prec@1 55.469 (59.386) Prec@5 81.250 (81.037) Epoch: [44][4020/10010] Time 0.327 (0.328) Data 0.001 (0.001) Loss 1.8327 (1.7863) Prec@1 58.594 (59.385) Prec@5 82.031 (81.036) Epoch: [44][4030/10010] Time 0.318 (0.328) Data 0.001 (0.001) Loss 2.1577 (1.7863) Prec@1 52.344 (59.382) Prec@5 78.906 (81.037) Epoch: [44][4040/10010] Time 0.327 (0.328) Data 0.000 (0.001) Loss 1.7724 (1.7863) Prec@1 61.719 (59.385) Prec@5 80.469 (81.035) Epoch: [44][4050/10010] Time 0.332 (0.328) Data 0.000 (0.001) Loss 1.7784 (1.7865) Prec@1 57.812 (59.380) Prec@5 81.250 (81.035) Epoch: [44][4060/10010] Time 0.336 (0.328) Data 0.001 (0.001) Loss 2.0790 (1.7866) Prec@1 53.906 (59.375) Prec@5 76.562 (81.033) Epoch: [44][4070/10010] Time 0.321 (0.328) Data 0.001 (0.001) Loss 1.9279 (1.7864) Prec@1 53.906 (59.377) Prec@5 78.906 (81.038) Epoch: [44][4080/10010] Time 0.338 (0.328) Data 0.001 (0.001) Loss 1.8524 (1.7865) Prec@1 57.031 (59.373) Prec@5 81.250 (81.036) Epoch: [44][4090/10010] Time 0.338 (0.328) Data 0.000 (0.001) Loss 2.0293 (1.7865) Prec@1 57.812 (59.371) Prec@5 74.219 (81.035) Epoch: [44][4100/10010] Time 0.329 (0.328) Data 0.000 (0.001) Loss 2.1525 (1.7867) Prec@1 54.688 (59.370) Prec@5 75.781 (81.029) Epoch: [44][4110/10010] Time 0.338 (0.328) Data 0.001 (0.001) Loss 1.7135 (1.7866) Prec@1 62.500 (59.372) Prec@5 80.469 (81.029) Epoch: [44][4120/10010] Time 0.338 (0.328) Data 0.001 (0.001) Loss 1.8035 (1.7866) Prec@1 56.250 (59.374) Prec@5 82.031 (81.030) Epoch: [44][4130/10010] Time 0.325 (0.328) Data 0.001 (0.001) Loss 1.8815 (1.7865) Prec@1 60.938 (59.376) Prec@5 78.125 (81.028) Epoch: [44][4140/10010] Time 0.321 (0.328) Data 0.001 (0.001) Loss 1.7461 (1.7865) Prec@1 60.156 (59.377) Prec@5 85.156 (81.030) Epoch: [44][4150/10010] Time 0.339 (0.328) Data 0.001 (0.001) Loss 1.6113 (1.7864) Prec@1 57.812 (59.373) Prec@5 86.719 (81.033) Epoch: [44][4160/10010] Time 0.314 (0.328) Data 0.001 (0.001) Loss 1.6959 (1.7864) Prec@1 57.812 (59.378) Prec@5 83.594 (81.036) Epoch: [44][4170/10010] Time 0.338 (0.328) Data 0.001 (0.001) Loss 1.5096 (1.7863) Prec@1 57.812 (59.378) Prec@5 85.938 (81.039) Epoch: [44][4180/10010] Time 0.318 (0.328) Data 0.000 (0.001) Loss 1.7152 (1.7864) Prec@1 61.719 (59.375) Prec@5 80.469 (81.035) Epoch: [44][4190/10010] Time 0.341 (0.328) Data 0.001 (0.001) Loss 1.5310 (1.7862) Prec@1 70.312 (59.379) Prec@5 82.031 (81.036) Epoch: [44][4200/10010] Time 0.334 (0.328) Data 0.001 (0.001) Loss 1.7204 (1.7862) Prec@1 60.938 (59.378) Prec@5 82.812 (81.038) Epoch: [44][4210/10010] Time 0.336 (0.328) Data 0.001 (0.001) Loss 1.5409 (1.7861) Prec@1 60.938 (59.380) Prec@5 85.156 (81.040) Epoch: [44][4220/10010] Time 0.322 (0.328) Data 0.001 (0.001) Loss 1.7336 (1.7862) Prec@1 65.625 (59.381) Prec@5 84.375 (81.039) Epoch: [44][4230/10010] Time 0.337 (0.328) Data 0.000 (0.001) Loss 1.8097 (1.7863) Prec@1 62.500 (59.382) Prec@5 82.031 (81.038) Epoch: [44][4240/10010] Time 0.334 (0.328) Data 0.001 (0.001) Loss 1.6216 (1.7862) Prec@1 68.750 (59.385) Prec@5 86.719 (81.043) Epoch: [44][4250/10010] Time 0.323 (0.328) Data 0.001 (0.001) Loss 2.0648 (1.7864) Prec@1 55.469 (59.385) Prec@5 77.344 (81.041) Epoch: [44][4260/10010] Time 0.338 (0.328) Data 0.001 (0.001) Loss 2.1186 (1.7865) Prec@1 51.562 (59.387) Prec@5 77.344 (81.038) Epoch: [44][4270/10010] Time 0.339 (0.328) Data 0.000 (0.001) Loss 1.8951 (1.7864) Prec@1 53.906 (59.386) Prec@5 80.469 (81.042) Epoch: [44][4280/10010] Time 0.317 (0.328) Data 0.001 (0.001) Loss 1.9777 (1.7865) Prec@1 58.594 (59.389) Prec@5 78.125 (81.039) Epoch: [44][4290/10010] Time 0.340 (0.328) Data 0.001 (0.001) Loss 1.9207 (1.7866) Prec@1 58.594 (59.386) Prec@5 78.906 (81.038) Epoch: [44][4300/10010] Time 0.342 (0.328) Data 0.000 (0.001) Loss 1.7612 (1.7868) Prec@1 56.250 (59.384) Prec@5 84.375 (81.035) Epoch: [44][4310/10010] Time 0.329 (0.328) Data 0.001 (0.001) Loss 1.7543 (1.7868) Prec@1 60.156 (59.384) Prec@5 81.250 (81.038) Epoch: [44][4320/10010] Time 0.322 (0.328) Data 0.001 (0.001) Loss 1.7292 (1.7870) Prec@1 61.719 (59.382) Prec@5 82.031 (81.032) Epoch: [44][4330/10010] Time 0.314 (0.328) Data 0.001 (0.001) Loss 1.6655 (1.7870) Prec@1 62.500 (59.381) Prec@5 85.156 (81.032) Epoch: [44][4340/10010] Time 0.335 (0.328) Data 0.000 (0.001) Loss 1.7483 (1.7870) Prec@1 57.031 (59.380) Prec@5 84.375 (81.031) Epoch: [44][4350/10010] Time 0.324 (0.328) Data 0.000 (0.001) Loss 1.9408 (1.7869) Prec@1 62.500 (59.383) Prec@5 80.469 (81.031) Epoch: [44][4360/10010] Time 0.318 (0.328) Data 0.001 (0.001) Loss 1.7265 (1.7867) Prec@1 57.031 (59.380) Prec@5 83.594 (81.036) Epoch: [44][4370/10010] Time 0.336 (0.328) Data 0.001 (0.001) Loss 1.7495 (1.7866) Prec@1 55.469 (59.377) Prec@5 84.375 (81.037) Epoch: [44][4380/10010] Time 0.330 (0.328) Data 0.001 (0.001) Loss 1.6368 (1.7868) Prec@1 57.031 (59.371) Prec@5 80.469 (81.035) Epoch: [44][4390/10010] Time 0.328 (0.328) Data 0.001 (0.001) Loss 1.6933 (1.7868) Prec@1 62.500 (59.369) Prec@5 83.594 (81.035) Epoch: [44][4400/10010] Time 0.310 (0.328) Data 0.000 (0.001) Loss 1.8218 (1.7870) Prec@1 57.031 (59.362) Prec@5 81.250 (81.032) Epoch: [44][4410/10010] Time 0.338 (0.328) Data 0.000 (0.001) Loss 1.7263 (1.7873) Prec@1 62.500 (59.353) Prec@5 82.812 (81.026) Epoch: [44][4420/10010] Time 0.333 (0.328) Data 0.000 (0.001) Loss 1.2152 (1.7874) Prec@1 69.531 (59.350) Prec@5 89.062 (81.026) Epoch: [44][4430/10010] Time 0.339 (0.328) Data 0.000 (0.001) Loss 1.9979 (1.7875) Prec@1 57.031 (59.346) Prec@5 73.438 (81.024) Epoch: [44][4440/10010] Time 0.334 (0.328) Data 0.001 (0.001) Loss 1.9192 (1.7877) Prec@1 49.219 (59.339) Prec@5 77.344 (81.021) Epoch: [44][4450/10010] Time 0.339 (0.328) Data 0.000 (0.001) Loss 1.8881 (1.7877) Prec@1 53.125 (59.338) Prec@5 84.375 (81.022) Epoch: [44][4460/10010] Time 0.318 (0.328) Data 0.001 (0.001) Loss 1.4913 (1.7878) Prec@1 63.281 (59.334) Prec@5 87.500 (81.021) Epoch: [44][4470/10010] Time 0.331 (0.328) Data 0.000 (0.001) Loss 1.7546 (1.7878) Prec@1 60.156 (59.334) Prec@5 78.906 (81.022) Epoch: [44][4480/10010] Time 0.329 (0.328) Data 0.000 (0.001) Loss 1.6280 (1.7878) Prec@1 56.250 (59.332) Prec@5 85.938 (81.021) Epoch: [44][4490/10010] Time 0.341 (0.328) Data 0.000 (0.001) Loss 1.8052 (1.7878) Prec@1 53.906 (59.330) Prec@5 78.906 (81.021) Epoch: [44][4500/10010] Time 0.336 (0.328) Data 0.000 (0.001) Loss 1.6980 (1.7880) Prec@1 65.625 (59.324) Prec@5 84.375 (81.019) Epoch: [44][4510/10010] Time 0.336 (0.328) Data 0.001 (0.001) Loss 1.5270 (1.7880) Prec@1 66.406 (59.324) Prec@5 87.500 (81.017) Epoch: [44][4520/10010] Time 0.330 (0.328) Data 0.001 (0.001) Loss 1.8271 (1.7881) Prec@1 60.938 (59.325) Prec@5 80.469 (81.017) Epoch: [44][4530/10010] Time 0.321 (0.328) Data 0.001 (0.001) Loss 1.7067 (1.7881) Prec@1 66.406 (59.324) Prec@5 81.250 (81.016) Epoch: [44][4540/10010] Time 0.318 (0.328) Data 0.001 (0.001) Loss 1.7436 (1.7882) Prec@1 57.031 (59.324) Prec@5 82.031 (81.015) Epoch: [44][4550/10010] Time 0.323 (0.328) Data 0.001 (0.001) Loss 1.8647 (1.7883) Prec@1 57.812 (59.324) Prec@5 82.812 (81.016) Epoch: [44][4560/10010] Time 0.310 (0.328) Data 0.000 (0.001) Loss 2.0432 (1.7881) Prec@1 50.000 (59.327) Prec@5 74.219 (81.020) Epoch: [44][4570/10010] Time 0.309 (0.328) Data 0.000 (0.001) Loss 1.9847 (1.7883) Prec@1 58.594 (59.323) Prec@5 75.000 (81.017) Epoch: [44][4580/10010] Time 0.332 (0.328) Data 0.000 (0.001) Loss 1.6470 (1.7884) Prec@1 61.719 (59.318) Prec@5 82.812 (81.016) Epoch: [44][4590/10010] Time 0.333 (0.328) Data 0.001 (0.001) Loss 1.7415 (1.7883) Prec@1 56.250 (59.319) Prec@5 80.469 (81.019) Epoch: [44][4600/10010] Time 0.316 (0.328) Data 0.000 (0.001) Loss 2.0241 (1.7882) Prec@1 54.688 (59.317) Prec@5 75.000 (81.019) Epoch: [44][4610/10010] Time 0.336 (0.328) Data 0.000 (0.001) Loss 2.0372 (1.7881) Prec@1 53.125 (59.317) Prec@5 77.344 (81.021) Epoch: [44][4620/10010] Time 0.336 (0.328) Data 0.001 (0.001) Loss 1.7368 (1.7882) Prec@1 57.812 (59.319) Prec@5 86.719 (81.019) Epoch: [44][4630/10010] Time 0.335 (0.328) Data 0.001 (0.001) Loss 2.0513 (1.7882) Prec@1 58.594 (59.319) Prec@5 77.344 (81.018) Epoch: [44][4640/10010] Time 0.319 (0.328) Data 0.001 (0.001) Loss 2.1782 (1.7885) Prec@1 51.562 (59.315) Prec@5 74.219 (81.014) Epoch: [44][4650/10010] Time 0.336 (0.328) Data 0.000 (0.001) Loss 1.7804 (1.7886) Prec@1 59.375 (59.311) Prec@5 80.469 (81.012) Epoch: [44][4660/10010] Time 0.324 (0.328) Data 0.000 (0.001) Loss 2.1017 (1.7887) Prec@1 54.688 (59.311) Prec@5 78.125 (81.011) Epoch: [44][4670/10010] Time 0.314 (0.328) Data 0.001 (0.001) Loss 1.6284 (1.7886) Prec@1 57.031 (59.311) Prec@5 87.500 (81.013) Epoch: [44][4680/10010] Time 0.334 (0.328) Data 0.000 (0.001) Loss 1.6015 (1.7885) Prec@1 56.250 (59.314) Prec@5 82.812 (81.015) Epoch: [44][4690/10010] Time 0.341 (0.328) Data 0.001 (0.001) Loss 1.6782 (1.7883) Prec@1 62.500 (59.319) Prec@5 81.250 (81.015) Epoch: [44][4700/10010] Time 0.317 (0.328) Data 0.001 (0.001) Loss 1.8963 (1.7883) Prec@1 60.156 (59.321) Prec@5 80.469 (81.017) Epoch: [44][4710/10010] Time 0.324 (0.328) Data 0.000 (0.001) Loss 1.8334 (1.7883) Prec@1 56.250 (59.321) Prec@5 82.031 (81.016) Epoch: [44][4720/10010] Time 0.323 (0.328) Data 0.001 (0.001) Loss 1.5127 (1.7881) Prec@1 62.500 (59.323) Prec@5 82.031 (81.017) Epoch: [44][4730/10010] Time 0.334 (0.328) Data 0.000 (0.001) Loss 1.7844 (1.7883) Prec@1 57.031 (59.320) Prec@5 81.250 (81.015) Epoch: [44][4740/10010] Time 0.327 (0.328) Data 0.001 (0.001) Loss 1.9423 (1.7884) Prec@1 61.719 (59.319) Prec@5 81.250 (81.014) Epoch: [44][4750/10010] Time 0.337 (0.328) Data 0.001 (0.001) Loss 1.9754 (1.7884) Prec@1 57.031 (59.315) Prec@5 80.469 (81.013) Epoch: [44][4760/10010] Time 0.314 (0.328) Data 0.000 (0.001) Loss 1.5352 (1.7884) Prec@1 61.719 (59.315) Prec@5 85.938 (81.012) Epoch: [44][4770/10010] Time 0.339 (0.328) Data 0.001 (0.001) Loss 1.6891 (1.7887) Prec@1 55.469 (59.310) Prec@5 86.719 (81.009) Epoch: [44][4780/10010] Time 0.319 (0.328) Data 0.001 (0.001) Loss 2.2335 (1.7888) Prec@1 55.469 (59.308) Prec@5 74.219 (81.008) Epoch: [44][4790/10010] Time 0.312 (0.328) Data 0.001 (0.001) Loss 1.6350 (1.7888) Prec@1 63.281 (59.308) Prec@5 85.938 (81.007) Epoch: [44][4800/10010] Time 0.319 (0.328) Data 0.001 (0.001) Loss 1.9661 (1.7888) Prec@1 57.031 (59.309) Prec@5 76.562 (81.006) Epoch: [44][4810/10010] Time 0.329 (0.328) Data 0.001 (0.001) Loss 1.8075 (1.7887) Prec@1 57.812 (59.311) Prec@5 81.250 (81.007) Epoch: [44][4820/10010] Time 0.341 (0.328) Data 0.001 (0.001) Loss 1.7878 (1.7887) Prec@1 60.938 (59.310) Prec@5 82.031 (81.008) Epoch: [44][4830/10010] Time 0.335 (0.328) Data 0.000 (0.001) Loss 1.8585 (1.7887) Prec@1 57.812 (59.308) Prec@5 82.031 (81.007) Epoch: [44][4840/10010] Time 0.340 (0.328) Data 0.001 (0.001) Loss 1.7630 (1.7887) Prec@1 59.375 (59.310) Prec@5 84.375 (81.008) Epoch: [44][4850/10010] Time 0.330 (0.328) Data 0.001 (0.001) Loss 1.6545 (1.7889) Prec@1 65.625 (59.307) Prec@5 79.688 (81.006) Epoch: [44][4860/10010] Time 0.322 (0.328) Data 0.001 (0.001) Loss 1.3828 (1.7889) Prec@1 64.062 (59.303) Prec@5 85.938 (81.005) Epoch: [44][4870/10010] Time 0.334 (0.328) Data 0.001 (0.001) Loss 1.8340 (1.7890) Prec@1 56.250 (59.303) Prec@5 82.812 (81.004) Epoch: [44][4880/10010] Time 0.332 (0.328) Data 0.001 (0.001) Loss 2.0650 (1.7890) Prec@1 54.688 (59.301) Prec@5 73.438 (81.000) Epoch: [44][4890/10010] Time 0.339 (0.328) Data 0.001 (0.001) Loss 1.9459 (1.7891) Prec@1 53.125 (59.296) Prec@5 78.125 (81.001) Epoch: [44][4900/10010] Time 0.332 (0.328) Data 0.001 (0.001) Loss 1.9547 (1.7891) Prec@1 53.906 (59.297) Prec@5 79.688 (81.004) Epoch: [44][4910/10010] Time 0.321 (0.328) Data 0.001 (0.001) Loss 1.8897 (1.7892) Prec@1 57.031 (59.295) Prec@5 80.469 (81.002) Epoch: [44][4920/10010] Time 0.325 (0.328) Data 0.001 (0.001) Loss 1.8050 (1.7895) Prec@1 62.500 (59.290) Prec@5 81.250 (80.998) Epoch: [44][4930/10010] Time 0.336 (0.328) Data 0.001 (0.001) Loss 2.0660 (1.7897) Prec@1 55.469 (59.288) Prec@5 74.219 (80.997) Epoch: [44][4940/10010] Time 0.331 (0.328) Data 0.001 (0.001) Loss 1.5864 (1.7896) Prec@1 61.719 (59.291) Prec@5 82.812 (80.999) Epoch: [44][4950/10010] Time 0.336 (0.328) Data 0.000 (0.001) Loss 1.6069 (1.7896) Prec@1 60.156 (59.292) Prec@5 87.500 (81.001) Epoch: [44][4960/10010] Time 0.321 (0.328) Data 0.000 (0.001) Loss 1.5669 (1.7894) Prec@1 68.750 (59.295) Prec@5 82.812 (81.002) Epoch: [44][4970/10010] Time 0.337 (0.328) Data 0.000 (0.001) Loss 1.8656 (1.7895) Prec@1 59.375 (59.291) Prec@5 82.812 (81.000) Epoch: [44][4980/10010] Time 0.332 (0.328) Data 0.000 (0.001) Loss 1.6956 (1.7895) Prec@1 61.719 (59.290) Prec@5 82.812 (80.999) Epoch: [44][4990/10010] Time 0.343 (0.328) Data 0.000 (0.001) Loss 1.8069 (1.7893) Prec@1 55.469 (59.289) Prec@5 81.250 (81.002) Epoch: [44][5000/10010] Time 0.328 (0.328) Data 0.000 (0.001) Loss 1.6736 (1.7894) Prec@1 62.500 (59.285) Prec@5 82.812 (81.003) Epoch: [44][5010/10010] Time 0.320 (0.328) Data 0.001 (0.001) Loss 1.8977 (1.7893) Prec@1 55.469 (59.284) Prec@5 77.344 (81.005) Epoch: [44][5020/10010] Time 0.338 (0.328) Data 0.000 (0.001) Loss 1.9345 (1.7893) Prec@1 57.812 (59.286) Prec@5 79.688 (81.007) Epoch: [44][5030/10010] Time 0.339 (0.328) Data 0.000 (0.001) Loss 1.9017 (1.7893) Prec@1 57.031 (59.286) Prec@5 78.906 (81.007) Epoch: [44][5040/10010] Time 0.316 (0.328) Data 0.001 (0.001) Loss 1.9677 (1.7893) Prec@1 57.812 (59.288) Prec@5 80.469 (81.005) Epoch: [44][5050/10010] Time 0.317 (0.328) Data 0.001 (0.001) Loss 2.0553 (1.7894) Prec@1 53.125 (59.286) Prec@5 78.125 (81.004) Epoch: [44][5060/10010] Time 0.329 (0.328) Data 0.001 (0.001) Loss 1.4886 (1.7893) Prec@1 64.844 (59.285) Prec@5 87.500 (81.004) Epoch: [44][5070/10010] Time 0.340 (0.328) Data 0.001 (0.001) Loss 2.2165 (1.7895) Prec@1 57.031 (59.284) Prec@5 76.562 (81.000) Epoch: [44][5080/10010] Time 0.336 (0.328) Data 0.001 (0.001) Loss 1.8188 (1.7894) Prec@1 57.812 (59.284) Prec@5 79.688 (81.003) Epoch: [44][5090/10010] Time 0.318 (0.328) Data 0.001 (0.001) Loss 1.6278 (1.7896) Prec@1 66.406 (59.282) Prec@5 82.812 (81.001) Epoch: [44][5100/10010] Time 0.327 (0.328) Data 0.000 (0.001) Loss 1.8579 (1.7896) Prec@1 52.344 (59.281) Prec@5 82.812 (81.000) Epoch: [44][5110/10010] Time 0.335 (0.328) Data 0.001 (0.001) Loss 2.0616 (1.7896) Prec@1 51.562 (59.276) Prec@5 73.438 (80.999) Epoch: [44][5120/10010] Time 0.318 (0.328) Data 0.001 (0.001) Loss 1.7614 (1.7897) Prec@1 58.594 (59.277) Prec@5 82.031 (80.998) Epoch: [44][5130/10010] Time 0.338 (0.328) Data 0.001 (0.001) Loss 1.9672 (1.7900) Prec@1 57.031 (59.273) Prec@5 78.906 (80.992) Epoch: [44][5140/10010] Time 0.325 (0.328) Data 0.000 (0.001) Loss 2.0150 (1.7900) Prec@1 53.125 (59.274) Prec@5 76.562 (80.992) Epoch: [44][5150/10010] Time 0.340 (0.328) Data 0.001 (0.001) Loss 1.8027 (1.7900) Prec@1 58.594 (59.274) Prec@5 81.250 (80.994) /data/vision/torralba/deepscene/lib/anaconda2/lib/python2.7/site-packages/PIL/TiffImagePlugin.py:692: UserWarning: Possibly corrupt EXIF data. Expecting to read 2555904 bytes but only got 0. Skipping tag 0 "Skipping tag %s" % (size, len(data), tag)) Epoch: [44][5160/10010] Time 0.323 (0.328) Data 0.001 (0.001) Loss 1.8005 (1.7901) Prec@1 60.938 (59.271) Prec@5 83.594 (80.992) Epoch: [44][5170/10010] Time 0.334 (0.328) Data 0.001 (0.001) Loss 1.6401 (1.7899) Prec@1 64.062 (59.273) Prec@5 84.375 (80.995) Epoch: [44][5180/10010] Time 0.315 (0.328) Data 0.001 (0.001) Loss 1.7185 (1.7898) Prec@1 61.719 (59.275) Prec@5 81.250 (80.995) Epoch: [44][5190/10010] Time 0.334 (0.328) Data 0.001 (0.001) Loss 1.8125 (1.7897) Prec@1 57.812 (59.276) Prec@5 84.375 (81.000) Epoch: [44][5200/10010] Time 0.331 (0.328) Data 0.001 (0.001) Loss 2.0145 (1.7898) Prec@1 56.250 (59.274) Prec@5 82.031 (80.998) Epoch: [44][5210/10010] Time 0.342 (0.328) Data 0.001 (0.001) Loss 1.5816 (1.7899) Prec@1 60.156 (59.272) Prec@5 85.156 (80.998) Epoch: [44][5220/10010] Time 0.321 (0.328) Data 0.000 (0.001) Loss 1.5621 (1.7899) Prec@1 62.500 (59.271) Prec@5 83.594 (80.997) Epoch: [44][5230/10010] Time 0.317 (0.328) Data 0.001 (0.001) Loss 1.8865 (1.7902) Prec@1 57.812 (59.264) Prec@5 77.344 (80.992) Epoch: [44][5240/10010] Time 0.330 (0.328) Data 0.001 (0.001) Loss 1.6998 (1.7901) Prec@1 52.344 (59.263) Prec@5 84.375 (80.996) Epoch: [44][5250/10010] Time 0.337 (0.328) Data 0.001 (0.001) Loss 1.5472 (1.7900) Prec@1 62.500 (59.264) Prec@5 82.812 (80.998) Epoch: [44][5260/10010] Time 0.311 (0.328) Data 0.001 (0.001) Loss 1.7399 (1.7900) Prec@1 57.812 (59.264) Prec@5 82.031 (81.000) Epoch: [44][5270/10010] Time 0.337 (0.328) Data 0.001 (0.001) Loss 1.9380 (1.7900) Prec@1 60.938 (59.264) Prec@5 80.469 (80.998) Epoch: [44][5280/10010] Time 0.340 (0.328) Data 0.000 (0.001) Loss 1.9667 (1.7900) Prec@1 53.125 (59.264) Prec@5 76.562 (80.998) Epoch: [44][5290/10010] Time 0.334 (0.328) Data 0.000 (0.001) Loss 1.7699 (1.7902) Prec@1 60.156 (59.261) Prec@5 80.469 (80.997) Epoch: [44][5300/10010] Time 0.337 (0.328) Data 0.001 (0.001) Loss 2.1459 (1.7904) Prec@1 50.781 (59.257) Prec@5 78.906 (80.993) Epoch: [44][5310/10010] Time 0.319 (0.328) Data 0.000 (0.001) Loss 1.8152 (1.7903) Prec@1 57.031 (59.257) Prec@5 81.250 (80.993) Epoch: [44][5320/10010] Time 0.321 (0.328) Data 0.001 (0.001) Loss 1.8571 (1.7902) Prec@1 57.812 (59.258) Prec@5 78.125 (80.996) /data/vision/torralba/deepscene/lib/anaconda2/lib/python2.7/site-packages/PIL/TiffImagePlugin.py:692: UserWarning: Possibly corrupt EXIF data. Expecting to read 19660800 bytes but only got 0. Skipping tag 0 "Skipping tag %s" % (size, len(data), tag)) /data/vision/torralba/deepscene/lib/anaconda2/lib/python2.7/site-packages/PIL/TiffImagePlugin.py:692: UserWarning: Possibly corrupt EXIF data. Expecting to read 18481152 bytes but only got 0. Skipping tag 0 "Skipping tag %s" % (size, len(data), tag)) /data/vision/torralba/deepscene/lib/anaconda2/lib/python2.7/site-packages/PIL/TiffImagePlugin.py:692: UserWarning: Possibly corrupt EXIF data. Expecting to read 37093376 bytes but only got 0. Skipping tag 0 "Skipping tag %s" % (size, len(data), tag)) /data/vision/torralba/deepscene/lib/anaconda2/lib/python2.7/site-packages/PIL/TiffImagePlugin.py:692: UserWarning: Possibly corrupt EXIF data. Expecting to read 39976960 bytes but only got 0. Skipping tag 0 "Skipping tag %s" % (size, len(data), tag)) /data/vision/torralba/deepscene/lib/anaconda2/lib/python2.7/site-packages/PIL/TiffImagePlugin.py:692: UserWarning: Possibly corrupt EXIF data. Expecting to read 34865152 bytes but only got 0. Skipping tag 0 "Skipping tag %s" % (size, len(data), tag)) /data/vision/torralba/deepscene/lib/anaconda2/lib/python2.7/site-packages/PIL/TiffImagePlugin.py:709: UserWarning: Corrupt EXIF data. Expecting to read 12 bytes but only got 10. warnings.warn(str(msg)) Epoch: [44][5330/10010] Time 0.321 (0.328) Data 0.000 (0.001) Loss 1.6517 (1.7903) Prec@1 60.156 (59.256) Prec@5 82.031 (80.993) Epoch: [44][5340/10010] Time 0.319 (0.328) Data 0.001 (0.001) Loss 1.5983 (1.7904) Prec@1 60.938 (59.253) Prec@5 82.031 (80.990) Epoch: [44][5350/10010] Time 0.319 (0.328) Data 0.001 (0.001) Loss 1.6999 (1.7904) Prec@1 62.500 (59.255) Prec@5 83.594 (80.990) Epoch: [44][5360/10010] Time 0.316 (0.328) Data 0.001 (0.001) Loss 1.7847 (1.7906) Prec@1 57.031 (59.250) Prec@5 80.469 (80.986) Epoch: [44][5370/10010] Time 0.327 (0.328) Data 0.001 (0.001) Loss 1.9469 (1.7905) Prec@1 54.688 (59.251) Prec@5 78.125 (80.987) Epoch: [44][5380/10010] Time 0.314 (0.328) Data 0.001 (0.001) Loss 2.2431 (1.7905) Prec@1 49.219 (59.251) Prec@5 76.562 (80.987) Epoch: [44][5390/10010] Time 0.316 (0.328) Data 0.000 (0.001) Loss 1.6095 (1.7907) Prec@1 61.719 (59.247) Prec@5 82.031 (80.985) Epoch: [44][5400/10010] Time 0.316 (0.328) Data 0.001 (0.001) Loss 1.6311 (1.7908) Prec@1 63.281 (59.247) Prec@5 85.156 (80.984) Epoch: [44][5410/10010] Time 0.318 (0.328) Data 0.001 (0.001) Loss 1.6647 (1.7907) Prec@1 62.500 (59.249) Prec@5 81.250 (80.986) Epoch: [44][5420/10010] Time 0.318 (0.328) Data 0.000 (0.001) Loss 1.8292 (1.7906) Prec@1 60.156 (59.252) Prec@5 78.906 (80.988) Epoch: [44][5430/10010] Time 0.317 (0.328) Data 0.001 (0.001) Loss 1.8548 (1.7908) Prec@1 57.031 (59.250) Prec@5 77.344 (80.986) Epoch: [44][5440/10010] Time 0.320 (0.328) Data 0.001 (0.001) Loss 2.0422 (1.7910) Prec@1 53.125 (59.247) Prec@5 78.125 (80.983) Epoch: [44][5450/10010] Time 0.329 (0.328) Data 0.001 (0.001) Loss 2.0241 (1.7910) Prec@1 53.125 (59.246) Prec@5 79.688 (80.983) Epoch: [44][5460/10010] Time 0.328 (0.328) Data 0.001 (0.001) Loss 2.1988 (1.7912) Prec@1 50.781 (59.245) Prec@5 76.562 (80.979) Epoch: [44][5470/10010] Time 0.330 (0.328) Data 0.000 (0.001) Loss 1.8847 (1.7912) Prec@1 53.125 (59.242) Prec@5 81.250 (80.977) Epoch: [44][5480/10010] Time 0.322 (0.328) Data 0.000 (0.001) Loss 1.6905 (1.7912) Prec@1 59.375 (59.242) Prec@5 81.250 (80.979) Epoch: [44][5490/10010] Time 0.320 (0.328) Data 0.000 (0.001) Loss 1.6352 (1.7912) Prec@1 60.938 (59.239) Prec@5 82.812 (80.979) Epoch: [44][5500/10010] Time 0.322 (0.328) Data 0.001 (0.001) Loss 2.0146 (1.7912) Prec@1 59.375 (59.239) Prec@5 76.562 (80.976) Epoch: [44][5510/10010] Time 0.322 (0.328) Data 0.001 (0.001) Loss 1.9208 (1.7913) Prec@1 54.688 (59.237) Prec@5 81.250 (80.975) Epoch: [44][5520/10010] Time 0.325 (0.328) Data 0.000 (0.001) Loss 1.6751 (1.7915) Prec@1 62.500 (59.232) Prec@5 82.812 (80.974) Epoch: [44][5530/10010] Time 0.314 (0.328) Data 0.001 (0.001) Loss 1.7421 (1.7916) Prec@1 59.375 (59.230) Prec@5 79.688 (80.971) Epoch: [44][5540/10010] Time 0.321 (0.328) Data 0.001 (0.001) Loss 1.5192 (1.7916) Prec@1 64.844 (59.230) Prec@5 85.938 (80.971) Epoch: [44][5550/10010] Time 0.321 (0.328) Data 0.001 (0.001) Loss 2.0672 (1.7916) Prec@1 50.000 (59.227) Prec@5 78.125 (80.972) Epoch: [44][5560/10010] Time 0.320 (0.328) Data 0.001 (0.001) Loss 1.6062 (1.7915) Prec@1 67.969 (59.230) Prec@5 84.375 (80.972) Epoch: [44][5570/10010] Time 0.332 (0.328) Data 0.000 (0.001) Loss 1.8269 (1.7916) Prec@1 56.250 (59.227) Prec@5 78.125 (80.972) Epoch: [44][5580/10010] Time 0.323 (0.328) Data 0.000 (0.001) Loss 1.8343 (1.7915) Prec@1 56.250 (59.228) Prec@5 78.906 (80.972) Epoch: [44][5590/10010] Time 0.336 (0.328) Data 0.000 (0.001) Loss 1.8239 (1.7916) Prec@1 60.938 (59.228) Prec@5 85.156 (80.969) Epoch: [44][5600/10010] Time 0.338 (0.328) Data 0.000 (0.001) Loss 1.6144 (1.7917) Prec@1 58.594 (59.227) Prec@5 89.062 (80.969) Epoch: [44][5610/10010] Time 0.327 (0.328) Data 0.001 (0.001) Loss 1.7848 (1.7917) Prec@1 57.812 (59.228) Prec@5 78.906 (80.967) Epoch: [44][5620/10010] Time 0.322 (0.328) Data 0.000 (0.001) Loss 1.6777 (1.7918) Prec@1 62.500 (59.226) Prec@5 83.594 (80.967) Epoch: [44][5630/10010] Time 0.322 (0.328) Data 0.001 (0.001) Loss 1.6978 (1.7917) Prec@1 60.156 (59.228) Prec@5 84.375 (80.970) Epoch: [44][5640/10010] Time 0.337 (0.328) Data 0.001 (0.001) Loss 1.5919 (1.7915) Prec@1 58.594 (59.231) Prec@5 84.375 (80.973) Epoch: [44][5650/10010] Time 0.335 (0.328) Data 0.000 (0.001) Loss 1.9853 (1.7917) Prec@1 53.906 (59.224) Prec@5 79.688 (80.970) Epoch: [44][5660/10010] Time 0.345 (0.328) Data 0.001 (0.001) Loss 2.0494 (1.7918) Prec@1 48.438 (59.223) Prec@5 78.125 (80.970) Epoch: [44][5670/10010] Time 0.320 (0.328) Data 0.001 (0.001) Loss 1.8274 (1.7919) Prec@1 55.469 (59.219) Prec@5 85.156 (80.971) Epoch: [44][5680/10010] Time 0.337 (0.328) Data 0.001 (0.001) Loss 1.8282 (1.7918) Prec@1 61.719 (59.225) Prec@5 82.031 (80.970) Epoch: [44][5690/10010] Time 0.338 (0.328) Data 0.001 (0.001) Loss 2.1572 (1.7919) Prec@1 52.344 (59.224) Prec@5 75.000 (80.969) Epoch: [44][5700/10010] Time 0.328 (0.328) Data 0.001 (0.001) Loss 1.7434 (1.7920) Prec@1 62.500 (59.221) Prec@5 80.469 (80.968) Epoch: [44][5710/10010] Time 0.307 (0.328) Data 0.001 (0.001) Loss 1.7200 (1.7922) Prec@1 57.812 (59.219) Prec@5 83.594 (80.965) Epoch: [44][5720/10010] Time 0.338 (0.328) Data 0.001 (0.001) Loss 1.9900 (1.7922) Prec@1 52.344 (59.216) Prec@5 74.219 (80.964) Epoch: [44][5730/10010] Time 0.328 (0.328) Data 0.000 (0.001) Loss 2.0191 (1.7923) Prec@1 54.688 (59.215) Prec@5 75.781 (80.963) Epoch: [44][5740/10010] Time 0.322 (0.328) Data 0.001 (0.001) Loss 1.8990 (1.7923) Prec@1 55.469 (59.215) Prec@5 78.906 (80.960) Epoch: [44][5750/10010] Time 0.318 (0.328) Data 0.001 (0.001) Loss 1.8713 (1.7924) Prec@1 58.594 (59.215) Prec@5 78.906 (80.959) Epoch: [44][5760/10010] Time 0.330 (0.328) Data 0.001 (0.001) Loss 1.6828 (1.7923) Prec@1 60.938 (59.215) Prec@5 82.812 (80.960) Epoch: [44][5770/10010] Time 0.339 (0.328) Data 0.001 (0.001) Loss 1.7290 (1.7924) Prec@1 61.719 (59.213) Prec@5 80.469 (80.957) Epoch: [44][5780/10010] Time 0.324 (0.328) Data 0.001 (0.001) Loss 1.5219 (1.7922) Prec@1 64.062 (59.218) Prec@5 84.375 (80.961) Epoch: [44][5790/10010] Time 0.339 (0.328) Data 0.001 (0.001) Loss 1.8256 (1.7921) Prec@1 59.375 (59.219) Prec@5 81.250 (80.962) Epoch: [44][5800/10010] Time 0.338 (0.328) Data 0.001 (0.001) Loss 1.9137 (1.7922) Prec@1 55.469 (59.218) Prec@5 75.000 (80.959) Epoch: [44][5810/10010] Time 0.326 (0.328) Data 0.000 (0.001) Loss 1.8846 (1.7923) Prec@1 57.812 (59.218) Prec@5 78.125 (80.957) Epoch: [44][5820/10010] Time 0.318 (0.328) Data 0.000 (0.001) Loss 1.5455 (1.7924) Prec@1 61.719 (59.214) Prec@5 85.156 (80.957) Epoch: [44][5830/10010] Time 0.338 (0.328) Data 0.000 (0.001) Loss 1.7362 (1.7923) Prec@1 59.375 (59.214) Prec@5 80.469 (80.959) Epoch: [44][5840/10010] Time 0.339 (0.328) Data 0.000 (0.001) Loss 1.5652 (1.7922) Prec@1 71.875 (59.217) Prec@5 83.594 (80.961) Epoch: [44][5850/10010] Time 0.314 (0.328) Data 0.001 (0.001) Loss 1.7825 (1.7923) Prec@1 58.594 (59.216) Prec@5 83.594 (80.960) Epoch: [44][5860/10010] Time 0.318 (0.328) Data 0.001 (0.001) Loss 1.6204 (1.7922) Prec@1 62.500 (59.222) Prec@5 85.156 (80.963) Epoch: [44][5870/10010] Time 0.336 (0.328) Data 0.000 (0.001) Loss 2.2569 (1.7925) Prec@1 49.219 (59.218) Prec@5 72.656 (80.958) Epoch: [44][5880/10010] Time 0.311 (0.328) Data 0.000 (0.001) Loss 1.8843 (1.7924) Prec@1 56.250 (59.220) Prec@5 77.344 (80.957) Epoch: [44][5890/10010] Time 0.335 (0.328) Data 0.001 (0.001) Loss 1.6372 (1.7924) Prec@1 60.156 (59.223) Prec@5 87.500 (80.959) Epoch: [44][5900/10010] Time 0.319 (0.328) Data 0.000 (0.001) Loss 1.7648 (1.7923) Prec@1 62.500 (59.223) Prec@5 78.906 (80.959) Epoch: [44][5910/10010] Time 0.317 (0.328) Data 0.001 (0.001) Loss 1.8620 (1.7925) Prec@1 59.375 (59.220) Prec@5 76.562 (80.957) Epoch: [44][5920/10010] Time 0.325 (0.328) Data 0.000 (0.001) Loss 1.9573 (1.7925) Prec@1 53.906 (59.220) Prec@5 77.344 (80.957) Epoch: [44][5930/10010] Time 0.318 (0.328) Data 0.000 (0.001) Loss 2.1119 (1.7927) Prec@1 51.562 (59.218) Prec@5 74.219 (80.955) Epoch: [44][5940/10010] Time 0.317 (0.328) Data 0.000 (0.001) Loss 1.7758 (1.7926) Prec@1 59.375 (59.218) Prec@5 80.469 (80.955) Epoch: [44][5950/10010] Time 0.318 (0.328) Data 0.001 (0.001) Loss 1.7530 (1.7926) Prec@1 60.156 (59.220) Prec@5 82.031 (80.954) Epoch: [44][5960/10010] Time 0.341 (0.328) Data 0.001 (0.001) Loss 1.8279 (1.7927) Prec@1 53.906 (59.216) Prec@5 80.469 (80.953) Epoch: [44][5970/10010] Time 0.332 (0.328) Data 0.001 (0.001) Loss 2.0460 (1.7928) Prec@1 51.562 (59.212) Prec@5 75.781 (80.951) Epoch: [44][5980/10010] Time 0.319 (0.328) Data 0.000 (0.001) Loss 1.9856 (1.7928) Prec@1 51.562 (59.211) Prec@5 76.562 (80.952) Epoch: [44][5990/10010] Time 0.322 (0.328) Data 0.001 (0.001) Loss 1.8677 (1.7929) Prec@1 53.906 (59.208) Prec@5 83.594 (80.953) Epoch: [44][6000/10010] Time 0.318 (0.328) Data 0.001 (0.001) Loss 1.7497 (1.7930) Prec@1 60.938 (59.206) Prec@5 86.719 (80.954) Epoch: [44][6010/10010] Time 0.341 (0.328) Data 0.000 (0.001) Loss 1.9575 (1.7931) Prec@1 58.594 (59.207) Prec@5 79.688 (80.953) Epoch: [44][6020/10010] Time 0.320 (0.328) Data 0.001 (0.001) Loss 1.8130 (1.7930) Prec@1 62.500 (59.210) Prec@5 81.250 (80.952) Epoch: [44][6030/10010] Time 0.326 (0.328) Data 0.001 (0.001) Loss 1.9829 (1.7930) Prec@1 59.375 (59.210) Prec@5 78.125 (80.951) Epoch: [44][6040/10010] Time 0.340 (0.328) Data 0.001 (0.001) Loss 1.8098 (1.7932) Prec@1 63.281 (59.207) Prec@5 81.250 (80.949) Epoch: [44][6050/10010] Time 0.326 (0.328) Data 0.001 (0.001) Loss 1.9152 (1.7932) Prec@1 56.250 (59.207) Prec@5 75.000 (80.950) Epoch: [44][6060/10010] Time 0.326 (0.328) Data 0.000 (0.001) Loss 1.7759 (1.7932) Prec@1 61.719 (59.206) Prec@5 84.375 (80.950) Epoch: [44][6070/10010] Time 0.326 (0.328) Data 0.000 (0.001) Loss 1.6951 (1.7932) Prec@1 58.594 (59.205) Prec@5 83.594 (80.950) Epoch: [44][6080/10010] Time 0.312 (0.328) Data 0.001 (0.001) Loss 2.1845 (1.7934) Prec@1 54.688 (59.204) Prec@5 73.438 (80.947) Epoch: [44][6090/10010] Time 0.338 (0.328) Data 0.001 (0.001) Loss 1.6745 (1.7932) Prec@1 60.938 (59.207) Prec@5 82.812 (80.951) Epoch: [44][6100/10010] Time 0.326 (0.328) Data 0.001 (0.001) Loss 1.6297 (1.7932) Prec@1 64.844 (59.207) Prec@5 82.812 (80.953) Epoch: [44][6110/10010] Time 0.339 (0.328) Data 0.000 (0.001) Loss 1.7692 (1.7931) Prec@1 57.812 (59.206) Prec@5 82.812 (80.953) Epoch: [44][6120/10010] Time 0.335 (0.328) Data 0.000 (0.001) Loss 1.8260 (1.7932) Prec@1 55.469 (59.203) Prec@5 80.469 (80.953) Epoch: [44][6130/10010] Time 0.336 (0.328) Data 0.001 (0.001) Loss 1.8065 (1.7931) Prec@1 62.500 (59.205) Prec@5 79.688 (80.954) Epoch: [44][6140/10010] Time 0.335 (0.328) Data 0.001 (0.001) Loss 1.9931 (1.7933) Prec@1 56.250 (59.199) Prec@5 75.781 (80.951) Epoch: [44][6150/10010] Time 0.335 (0.328) Data 0.001 (0.001) Loss 1.5732 (1.7933) Prec@1 69.531 (59.199) Prec@5 82.031 (80.951) Epoch: [44][6160/10010] Time 0.326 (0.328) Data 0.000 (0.001) Loss 1.6985 (1.7932) Prec@1 60.938 (59.201) Prec@5 83.594 (80.953) Epoch: [44][6170/10010] Time 0.314 (0.328) Data 0.001 (0.001) Loss 1.6753 (1.7933) Prec@1 51.562 (59.197) Prec@5 84.375 (80.953) Epoch: [44][6180/10010] Time 0.317 (0.328) Data 0.001 (0.001) Loss 1.8745 (1.7933) Prec@1 60.938 (59.199) Prec@5 79.688 (80.952) Epoch: [44][6190/10010] Time 0.309 (0.328) Data 0.001 (0.001) Loss 1.7909 (1.7933) Prec@1 55.469 (59.198) Prec@5 82.031 (80.952) Epoch: [44][6200/10010] Time 0.318 (0.328) Data 0.000 (0.001) Loss 1.9234 (1.7933) Prec@1 50.781 (59.195) Prec@5 78.125 (80.951) Epoch: [44][6210/10010] Time 0.344 (0.328) Data 0.001 (0.001) Loss 1.6859 (1.7933) Prec@1 63.281 (59.195) Prec@5 79.688 (80.951) Epoch: [44][6220/10010] Time 0.325 (0.328) Data 0.001 (0.001) Loss 1.8173 (1.7933) Prec@1 56.250 (59.196) Prec@5 82.812 (80.953) Epoch: [44][6230/10010] Time 0.338 (0.328) Data 0.000 (0.001) Loss 1.7897 (1.7934) Prec@1 60.938 (59.194) Prec@5 80.469 (80.953) Epoch: [44][6240/10010] Time 0.338 (0.328) Data 0.001 (0.001) Loss 2.0582 (1.7935) Prec@1 54.688 (59.192) Prec@5 75.781 (80.950) Epoch: [44][6250/10010] Time 0.340 (0.328) Data 0.001 (0.001) Loss 1.4287 (1.7932) Prec@1 62.500 (59.195) Prec@5 85.156 (80.953) Epoch: [44][6260/10010] Time 0.322 (0.328) Data 0.000 (0.001) Loss 1.8093 (1.7931) Prec@1 66.406 (59.196) Prec@5 79.688 (80.955) Epoch: [44][6270/10010] Time 0.335 (0.328) Data 0.000 (0.001) Loss 1.9682 (1.7933) Prec@1 55.469 (59.193) Prec@5 80.469 (80.954) Epoch: [44][6280/10010] Time 0.316 (0.328) Data 0.000 (0.001) Loss 1.6611 (1.7931) Prec@1 59.375 (59.197) Prec@5 82.812 (80.955) Epoch: [44][6290/10010] Time 0.333 (0.328) Data 0.001 (0.001) Loss 1.9259 (1.7933) Prec@1 55.469 (59.194) Prec@5 78.906 (80.950) Epoch: [44][6300/10010] Time 0.325 (0.328) Data 0.001 (0.001) Loss 1.9325 (1.7935) Prec@1 57.031 (59.191) Prec@5 76.562 (80.948) Epoch: [44][6310/10010] Time 0.331 (0.328) Data 0.001 (0.001) Loss 1.9155 (1.7934) Prec@1 52.344 (59.190) Prec@5 79.688 (80.950) Epoch: [44][6320/10010] Time 0.325 (0.328) Data 0.000 (0.001) Loss 1.9650 (1.7935) Prec@1 57.812 (59.190) Prec@5 81.250 (80.949) Epoch: [44][6330/10010] Time 0.331 (0.328) Data 0.000 (0.001) Loss 2.1838 (1.7935) Prec@1 52.344 (59.189) Prec@5 75.781 (80.948) Epoch: [44][6340/10010] Time 0.318 (0.328) Data 0.001 (0.001) Loss 1.6363 (1.7934) Prec@1 59.375 (59.191) Prec@5 84.375 (80.949) Epoch: [44][6350/10010] Time 0.314 (0.328) Data 0.001 (0.001) Loss 1.4667 (1.7933) Prec@1 62.500 (59.193) Prec@5 86.719 (80.951) Epoch: [44][6360/10010] Time 0.320 (0.328) Data 0.000 (0.001) Loss 1.9825 (1.7934) Prec@1 59.375 (59.195) Prec@5 79.688 (80.950) Epoch: [44][6370/10010] Time 0.342 (0.328) Data 0.000 (0.001) Loss 1.7877 (1.7934) Prec@1 60.938 (59.193) Prec@5 84.375 (80.949) Epoch: [44][6380/10010] Time 0.309 (0.328) Data 0.001 (0.001) Loss 2.0086 (1.7936) Prec@1 56.250 (59.190) Prec@5 78.125 (80.946) Epoch: [44][6390/10010] Time 0.320 (0.328) Data 0.001 (0.001) Loss 1.3244 (1.7934) Prec@1 66.406 (59.194) Prec@5 88.281 (80.950) Epoch: [44][6400/10010] Time 0.323 (0.328) Data 0.001 (0.001) Loss 1.8528 (1.7936) Prec@1 57.812 (59.191) Prec@5 81.250 (80.946) Epoch: [44][6410/10010] Time 0.337 (0.328) Data 0.001 (0.001) Loss 1.3860 (1.7936) Prec@1 67.188 (59.189) Prec@5 83.594 (80.948) Epoch: [44][6420/10010] Time 0.325 (0.328) Data 0.001 (0.001) Loss 1.7353 (1.7936) Prec@1 64.062 (59.188) Prec@5 83.594 (80.947) Epoch: [44][6430/10010] Time 0.337 (0.328) Data 0.001 (0.001) Loss 1.5690 (1.7937) Prec@1 60.156 (59.186) Prec@5 87.500 (80.948) Epoch: [44][6440/10010] Time 0.316 (0.328) Data 0.001 (0.001) Loss 1.9129 (1.7937) Prec@1 60.938 (59.186) Prec@5 80.469 (80.949) Epoch: [44][6450/10010] Time 0.339 (0.328) Data 0.000 (0.001) Loss 1.7012 (1.7937) Prec@1 66.406 (59.187) Prec@5 80.469 (80.948) Epoch: [44][6460/10010] Time 0.335 (0.328) Data 0.001 (0.001) Loss 1.5583 (1.7935) Prec@1 65.625 (59.189) Prec@5 86.719 (80.951) Epoch: [44][6470/10010] Time 0.334 (0.328) Data 0.001 (0.001) Loss 2.1072 (1.7937) Prec@1 57.031 (59.186) Prec@5 81.250 (80.950) Epoch: [44][6480/10010] Time 0.338 (0.328) Data 0.001 (0.001) Loss 2.1530 (1.7937) Prec@1 55.469 (59.183) Prec@5 74.219 (80.949) Epoch: [44][6490/10010] Time 0.335 (0.328) Data 0.001 (0.001) Loss 1.6127 (1.7937) Prec@1 58.594 (59.184) Prec@5 82.812 (80.949) Epoch: [44][6500/10010] Time 0.316 (0.328) Data 0.000 (0.001) Loss 1.7453 (1.7936) Prec@1 59.375 (59.185) Prec@5 78.906 (80.949) Epoch: [44][6510/10010] Time 0.333 (0.328) Data 0.001 (0.001) Loss 1.8008 (1.7936) Prec@1 58.594 (59.183) Prec@5 80.469 (80.949) Epoch: [44][6520/10010] Time 0.334 (0.328) Data 0.001 (0.001) Loss 1.6840 (1.7937) Prec@1 64.062 (59.181) Prec@5 80.469 (80.947) Epoch: [44][6530/10010] Time 0.336 (0.328) Data 0.001 (0.001) Loss 1.4561 (1.7937) Prec@1 62.500 (59.184) Prec@5 85.156 (80.949) Epoch: [44][6540/10010] Time 0.339 (0.328) Data 0.001 (0.001) Loss 1.8303 (1.7937) Prec@1 57.031 (59.184) Prec@5 78.906 (80.949) Epoch: [44][6550/10010] Time 0.313 (0.328) Data 0.000 (0.001) Loss 1.6538 (1.7935) Prec@1 65.625 (59.188) Prec@5 82.031 (80.952) Epoch: [44][6560/10010] Time 0.319 (0.328) Data 0.000 (0.001) Loss 1.7822 (1.7936) Prec@1 59.375 (59.188) Prec@5 83.594 (80.951) Epoch: [44][6570/10010] Time 0.339 (0.328) Data 0.000 (0.001) Loss 1.7957 (1.7935) Prec@1 57.031 (59.188) Prec@5 81.250 (80.952) Epoch: [44][6580/10010] Time 0.325 (0.328) Data 0.001 (0.001) Loss 2.2552 (1.7936) Prec@1 51.562 (59.187) Prec@5 72.656 (80.950) Epoch: [44][6590/10010] Time 0.317 (0.328) Data 0.000 (0.001) Loss 1.3501 (1.7937) Prec@1 70.312 (59.189) Prec@5 87.500 (80.950) Epoch: [44][6600/10010] Time 0.335 (0.328) Data 0.001 (0.001) Loss 1.6085 (1.7936) Prec@1 59.375 (59.191) Prec@5 84.375 (80.952) Epoch: [44][6610/10010] Time 0.319 (0.328) Data 0.000 (0.001) Loss 2.2429 (1.7937) Prec@1 46.875 (59.188) Prec@5 72.656 (80.949) Epoch: [44][6620/10010] Time 0.335 (0.328) Data 0.000 (0.001) Loss 1.9248 (1.7938) Prec@1 57.812 (59.186) Prec@5 78.125 (80.948) Epoch: [44][6630/10010] Time 0.325 (0.328) Data 0.001 (0.001) Loss 1.5732 (1.7937) Prec@1 65.625 (59.186) Prec@5 82.031 (80.948) Epoch: [44][6640/10010] Time 0.328 (0.328) Data 0.000 (0.001) Loss 1.9504 (1.7937) Prec@1 60.156 (59.183) Prec@5 78.906 (80.950) Epoch: [44][6650/10010] Time 0.337 (0.328) Data 0.001 (0.001) Loss 1.7696 (1.7937) Prec@1 56.250 (59.181) Prec@5 78.906 (80.952) Epoch: [44][6660/10010] Time 0.323 (0.328) Data 0.001 (0.001) Loss 1.5837 (1.7936) Prec@1 64.844 (59.182) Prec@5 82.812 (80.953) Epoch: [44][6670/10010] Time 0.335 (0.328) Data 0.001 (0.001) Loss 1.7351 (1.7936) Prec@1 57.031 (59.182) Prec@5 84.375 (80.955) Epoch: [44][6680/10010] Time 0.321 (0.328) Data 0.001 (0.001) Loss 1.8044 (1.7936) Prec@1 59.375 (59.180) Prec@5 81.250 (80.953) Epoch: [44][6690/10010] Time 0.334 (0.328) Data 0.000 (0.001) Loss 2.1990 (1.7936) Prec@1 50.781 (59.179) Prec@5 74.219 (80.952) Epoch: [44][6700/10010] Time 0.318 (0.328) Data 0.000 (0.001) Loss 1.8125 (1.7938) Prec@1 61.719 (59.176) Prec@5 82.812 (80.949) Epoch: [44][6710/10010] Time 0.336 (0.328) Data 0.001 (0.001) Loss 1.9238 (1.7939) Prec@1 54.688 (59.175) Prec@5 82.031 (80.948) Epoch: [44][6720/10010] Time 0.341 (0.328) Data 0.001 (0.001) Loss 1.4117 (1.7940) Prec@1 71.094 (59.174) Prec@5 87.500 (80.945) Epoch: [44][6730/10010] Time 0.334 (0.328) Data 0.000 (0.001) Loss 1.8605 (1.7940) Prec@1 62.500 (59.175) Prec@5 75.781 (80.944) Epoch: [44][6740/10010] Time 0.320 (0.328) Data 0.001 (0.001) Loss 1.5613 (1.7939) Prec@1 67.969 (59.177) Prec@5 84.375 (80.945) Epoch: [44][6750/10010] Time 0.318 (0.328) Data 0.000 (0.001) Loss 1.8064 (1.7939) Prec@1 58.594 (59.180) Prec@5 84.375 (80.946) Epoch: [44][6760/10010] Time 0.319 (0.328) Data 0.000 (0.001) Loss 1.5353 (1.7938) Prec@1 71.094 (59.182) Prec@5 83.594 (80.945) Epoch: [44][6770/10010] Time 0.330 (0.328) Data 0.000 (0.001) Loss 1.9552 (1.7938) Prec@1 56.250 (59.186) Prec@5 79.688 (80.946) Epoch: [44][6780/10010] Time 0.333 (0.328) Data 0.000 (0.001) Loss 1.6990 (1.7938) Prec@1 61.719 (59.187) Prec@5 82.812 (80.945) Epoch: [44][6790/10010] Time 0.320 (0.328) Data 0.001 (0.001) Loss 1.6482 (1.7937) Prec@1 66.406 (59.188) Prec@5 85.938 (80.946) Epoch: [44][6800/10010] Time 0.315 (0.328) Data 0.001 (0.001) Loss 1.6995 (1.7940) Prec@1 65.625 (59.185) Prec@5 85.938 (80.945) Epoch: [44][6810/10010] Time 0.319 (0.328) Data 0.001 (0.001) Loss 1.7992 (1.7939) Prec@1 56.250 (59.188) Prec@5 85.156 (80.946) Epoch: [44][6820/10010] Time 0.314 (0.328) Data 0.001 (0.001) Loss 1.7763 (1.7938) Prec@1 58.594 (59.188) Prec@5 78.906 (80.947) Epoch: [44][6830/10010] Time 0.317 (0.328) Data 0.001 (0.001) Loss 1.7463 (1.7937) Prec@1 58.594 (59.188) Prec@5 82.031 (80.948) Epoch: [44][6840/10010] Time 0.323 (0.328) Data 0.001 (0.001) Loss 1.6658 (1.7937) Prec@1 61.719 (59.188) Prec@5 82.031 (80.946) Epoch: [44][6850/10010] Time 0.318 (0.328) Data 0.001 (0.001) Loss 1.5549 (1.7939) Prec@1 61.719 (59.185) Prec@5 82.812 (80.944) Epoch: [44][6860/10010] Time 0.339 (0.328) Data 0.001 (0.001) Loss 1.5432 (1.7939) Prec@1 65.625 (59.184) Prec@5 82.031 (80.944) Epoch: [44][6870/10010] Time 0.322 (0.328) Data 0.000 (0.001) Loss 1.7389 (1.7940) Prec@1 65.625 (59.183) Prec@5 82.031 (80.942) Epoch: [44][6880/10010] Time 0.323 (0.328) Data 0.001 (0.001) Loss 1.8097 (1.7940) Prec@1 60.156 (59.183) Prec@5 85.156 (80.943) Epoch: [44][6890/10010] Time 0.319 (0.328) Data 0.001 (0.001) Loss 1.8041 (1.7942) Prec@1 57.031 (59.181) Prec@5 78.906 (80.939) Epoch: [44][6900/10010] Time 0.330 (0.328) Data 0.001 (0.001) Loss 1.8271 (1.7942) Prec@1 57.031 (59.180) Prec@5 82.031 (80.939) Epoch: [44][6910/10010] Time 0.316 (0.328) Data 0.001 (0.001) Loss 1.8538 (1.7942) Prec@1 57.031 (59.177) Prec@5 80.469 (80.938) Epoch: [44][6920/10010] Time 0.321 (0.328) Data 0.001 (0.001) Loss 1.6205 (1.7942) Prec@1 60.938 (59.177) Prec@5 83.594 (80.939) Epoch: [44][6930/10010] Time 0.321 (0.328) Data 0.000 (0.001) Loss 1.8951 (1.7941) Prec@1 54.688 (59.180) Prec@5 82.031 (80.939) Epoch: [44][6940/10010] Time 0.334 (0.328) Data 0.001 (0.001) Loss 1.8296 (1.7941) Prec@1 57.031 (59.179) Prec@5 83.594 (80.939) Epoch: [44][6950/10010] Time 0.315 (0.328) Data 0.001 (0.001) Loss 1.8373 (1.7941) Prec@1 58.594 (59.179) Prec@5 80.469 (80.940) Epoch: [44][6960/10010] Time 0.330 (0.328) Data 0.001 (0.001) Loss 2.0353 (1.7941) Prec@1 54.688 (59.177) Prec@5 74.219 (80.940) Epoch: [44][6970/10010] Time 0.336 (0.328) Data 0.001 (0.001) Loss 1.6397 (1.7941) Prec@1 65.625 (59.178) Prec@5 84.375 (80.942) Epoch: [44][6980/10010] Time 0.340 (0.328) Data 0.000 (0.001) Loss 1.6354 (1.7940) Prec@1 61.719 (59.179) Prec@5 83.594 (80.942) Epoch: [44][6990/10010] Time 0.331 (0.328) Data 0.000 (0.001) Loss 1.8301 (1.7940) Prec@1 61.719 (59.180) Prec@5 82.031 (80.941) Epoch: [44][7000/10010] Time 0.338 (0.328) Data 0.001 (0.001) Loss 1.6025 (1.7939) Prec@1 65.625 (59.180) Prec@5 82.812 (80.941) Epoch: [44][7010/10010] Time 0.330 (0.328) Data 0.000 (0.001) Loss 2.0695 (1.7938) Prec@1 54.688 (59.183) Prec@5 76.562 (80.943) Epoch: [44][7020/10010] Time 0.334 (0.328) Data 0.000 (0.001) Loss 1.9484 (1.7940) Prec@1 53.906 (59.181) Prec@5 78.125 (80.940) Epoch: [44][7030/10010] Time 0.337 (0.328) Data 0.000 (0.001) Loss 1.6564 (1.7939) Prec@1 63.281 (59.183) Prec@5 84.375 (80.941) Epoch: [44][7040/10010] Time 0.327 (0.328) Data 0.001 (0.001) Loss 1.7484 (1.7940) Prec@1 53.906 (59.182) Prec@5 82.812 (80.939) Epoch: [44][7050/10010] Time 0.329 (0.328) Data 0.000 (0.001) Loss 1.9405 (1.7940) Prec@1 53.906 (59.181) Prec@5 77.344 (80.938) Epoch: [44][7060/10010] Time 0.333 (0.328) Data 0.000 (0.001) Loss 1.8587 (1.7942) Prec@1 57.031 (59.177) Prec@5 83.594 (80.937) Epoch: [44][7070/10010] Time 0.316 (0.328) Data 0.000 (0.001) Loss 1.8431 (1.7940) Prec@1 55.469 (59.179) Prec@5 82.031 (80.938) Epoch: [44][7080/10010] Time 0.320 (0.328) Data 0.001 (0.001) Loss 1.6905 (1.7941) Prec@1 57.812 (59.177) Prec@5 83.594 (80.938) Epoch: [44][7090/10010] Time 0.329 (0.328) Data 0.000 (0.001) Loss 1.5992 (1.7940) Prec@1 59.375 (59.178) Prec@5 86.719 (80.939) Epoch: [44][7100/10010] Time 0.315 (0.328) Data 0.001 (0.001) Loss 1.9767 (1.7941) Prec@1 51.562 (59.174) Prec@5 75.781 (80.936) Epoch: [44][7110/10010] Time 0.329 (0.328) Data 0.001 (0.001) Loss 1.8071 (1.7942) Prec@1 60.938 (59.174) Prec@5 78.906 (80.934) Epoch: [44][7120/10010] Time 0.320 (0.328) Data 0.001 (0.001) Loss 1.8480 (1.7943) Prec@1 60.156 (59.172) Prec@5 78.125 (80.933) Epoch: [44][7130/10010] Time 0.321 (0.328) Data 0.001 (0.001) Loss 1.7131 (1.7943) Prec@1 59.375 (59.172) Prec@5 80.469 (80.933) Epoch: [44][7140/10010] Time 0.319 (0.328) Data 0.000 (0.001) Loss 1.7395 (1.7943) Prec@1 59.375 (59.172) Prec@5 82.812 (80.933) Epoch: [44][7150/10010] Time 0.334 (0.328) Data 0.001 (0.001) Loss 2.1028 (1.7944) Prec@1 54.688 (59.169) Prec@5 76.562 (80.929) Epoch: [44][7160/10010] Time 0.338 (0.328) Data 0.000 (0.001) Loss 1.7212 (1.7945) Prec@1 60.938 (59.168) Prec@5 80.469 (80.928) Epoch: [44][7170/10010] Time 0.337 (0.328) Data 0.000 (0.001) Loss 1.8483 (1.7947) Prec@1 57.031 (59.164) Prec@5 81.250 (80.927) Epoch: [44][7180/10010] Time 0.334 (0.328) Data 0.000 (0.001) Loss 1.7827 (1.7948) Prec@1 64.844 (59.161) Prec@5 80.469 (80.924) Epoch: [44][7190/10010] Time 0.328 (0.328) Data 0.001 (0.001) Loss 1.4666 (1.7948) Prec@1 67.188 (59.160) Prec@5 80.469 (80.923) Epoch: [44][7200/10010] Time 0.330 (0.328) Data 0.001 (0.001) Loss 1.8449 (1.7949) Prec@1 55.469 (59.156) Prec@5 82.031 (80.923) Epoch: [44][7210/10010] Time 0.320 (0.328) Data 0.001 (0.001) Loss 1.4882 (1.7948) Prec@1 64.062 (59.155) Prec@5 82.031 (80.923) Epoch: [44][7220/10010] Time 0.334 (0.328) Data 0.001 (0.001) Loss 1.6887 (1.7949) Prec@1 60.156 (59.156) Prec@5 83.594 (80.922) Epoch: [44][7230/10010] Time 0.319 (0.328) Data 0.001 (0.001) Loss 1.6899 (1.7950) Prec@1 59.375 (59.156) Prec@5 81.250 (80.921) Epoch: [44][7240/10010] Time 0.336 (0.328) Data 0.001 (0.001) Loss 1.8772 (1.7948) Prec@1 57.031 (59.158) Prec@5 77.344 (80.922) Epoch: [44][7250/10010] Time 0.316 (0.328) Data 0.001 (0.001) Loss 1.9642 (1.7949) Prec@1 60.938 (59.159) Prec@5 75.781 (80.922) Epoch: [44][7260/10010] Time 0.318 (0.328) Data 0.001 (0.001) Loss 1.7656 (1.7949) Prec@1 61.719 (59.161) Prec@5 80.469 (80.922) Epoch: [44][7270/10010] Time 0.318 (0.328) Data 0.000 (0.001) Loss 1.6568 (1.7948) Prec@1 56.250 (59.159) Prec@5 86.719 (80.923) Epoch: [44][7280/10010] Time 0.335 (0.328) Data 0.001 (0.001) Loss 1.9611 (1.7950) Prec@1 57.031 (59.157) Prec@5 76.562 (80.921) Epoch: [44][7290/10010] Time 0.334 (0.328) Data 0.000 (0.001) Loss 1.8067 (1.7950) Prec@1 59.375 (59.157) Prec@5 85.156 (80.921) Epoch: [44][7300/10010] Time 0.339 (0.328) Data 0.000 (0.001) Loss 1.7651 (1.7949) Prec@1 61.719 (59.158) Prec@5 82.031 (80.923) Epoch: [44][7310/10010] Time 0.327 (0.328) Data 0.001 (0.001) Loss 1.8231 (1.7948) Prec@1 55.469 (59.159) Prec@5 75.000 (80.923) Epoch: [44][7320/10010] Time 0.332 (0.328) Data 0.001 (0.001) Loss 1.7687 (1.7949) Prec@1 60.938 (59.157) Prec@5 80.469 (80.921) Epoch: [44][7330/10010] Time 0.320 (0.328) Data 0.000 (0.001) Loss 1.6593 (1.7948) Prec@1 64.844 (59.158) Prec@5 80.469 (80.923) Epoch: [44][7340/10010] Time 0.329 (0.328) Data 0.001 (0.001) Loss 1.8525 (1.7949) Prec@1 54.688 (59.154) Prec@5 77.344 (80.923) Epoch: [44][7350/10010] Time 0.317 (0.328) Data 0.001 (0.001) Loss 2.3351 (1.7951) Prec@1 50.000 (59.152) Prec@5 72.656 (80.921) Epoch: [44][7360/10010] Time 0.319 (0.328) Data 0.001 (0.001) Loss 1.5305 (1.7950) Prec@1 64.844 (59.153) Prec@5 85.938 (80.922) Epoch: [44][7370/10010] Time 0.331 (0.328) Data 0.001 (0.001) Loss 1.6883 (1.7950) Prec@1 59.375 (59.154) Prec@5 84.375 (80.921) Epoch: [44][7380/10010] Time 0.322 (0.328) Data 0.001 (0.001) Loss 1.6782 (1.7950) Prec@1 60.156 (59.155) Prec@5 84.375 (80.921) Epoch: [44][7390/10010] Time 0.340 (0.328) Data 0.000 (0.001) Loss 1.6922 (1.7949) Prec@1 60.938 (59.158) Prec@5 86.719 (80.924) Epoch: [44][7400/10010] Time 0.328 (0.328) Data 0.000 (0.001) Loss 2.4502 (1.7949) Prec@1 52.344 (59.159) Prec@5 72.656 (80.924) Epoch: [44][7410/10010] Time 0.321 (0.328) Data 0.000 (0.001) Loss 1.6685 (1.7947) Prec@1 61.719 (59.163) Prec@5 82.812 (80.927) Epoch: [44][7420/10010] Time 0.330 (0.328) Data 0.001 (0.001) Loss 1.9209 (1.7949) Prec@1 54.688 (59.160) Prec@5 79.688 (80.926) Epoch: [44][7430/10010] Time 0.334 (0.328) Data 0.001 (0.001) Loss 1.8829 (1.7949) Prec@1 57.812 (59.161) Prec@5 82.031 (80.924) Epoch: [44][7440/10010] Time 0.323 (0.328) Data 0.000 (0.001) Loss 1.8159 (1.7949) Prec@1 60.938 (59.162) Prec@5 79.688 (80.924) Epoch: [44][7450/10010] Time 0.336 (0.328) Data 0.001 (0.001) Loss 1.6387 (1.7948) Prec@1 62.500 (59.163) Prec@5 85.156 (80.926) Epoch: [44][7460/10010] Time 0.324 (0.328) Data 0.001 (0.001) Loss 1.8729 (1.7950) Prec@1 58.594 (59.161) Prec@5 77.344 (80.924) Epoch: [44][7470/10010] Time 0.340 (0.328) Data 0.001 (0.001) Loss 1.8081 (1.7950) Prec@1 63.281 (59.161) Prec@5 84.375 (80.922) Epoch: [44][7480/10010] Time 0.335 (0.328) Data 0.001 (0.001) Loss 1.9841 (1.7950) Prec@1 56.250 (59.159) Prec@5 79.688 (80.923) Epoch: [44][7490/10010] Time 0.335 (0.328) Data 0.000 (0.001) Loss 2.0743 (1.7950) Prec@1 52.344 (59.160) Prec@5 75.781 (80.924) Epoch: [44][7500/10010] Time 0.319 (0.328) Data 0.000 (0.001) Loss 1.7562 (1.7951) Prec@1 55.469 (59.158) Prec@5 77.344 (80.922) Epoch: [44][7510/10010] Time 0.333 (0.328) Data 0.001 (0.001) Loss 1.9973 (1.7952) Prec@1 58.594 (59.157) Prec@5 78.125 (80.919) Epoch: [44][7520/10010] Time 0.318 (0.328) Data 0.001 (0.001) Loss 1.7636 (1.7953) Prec@1 57.812 (59.152) Prec@5 83.594 (80.917) Epoch: [44][7530/10010] Time 0.331 (0.328) Data 0.000 (0.001) Loss 1.7874 (1.7954) Prec@1 55.469 (59.150) Prec@5 82.812 (80.917) Epoch: [44][7540/10010] Time 0.329 (0.328) Data 0.004 (0.001) Loss 1.7796 (1.7954) Prec@1 53.906 (59.150) Prec@5 82.812 (80.916) Epoch: [44][7550/10010] Time 0.325 (0.328) Data 0.000 (0.001) Loss 1.8232 (1.7954) Prec@1 61.719 (59.149) Prec@5 80.469 (80.916) Epoch: [44][7560/10010] Time 0.321 (0.328) Data 0.001 (0.001) Loss 1.7556 (1.7953) Prec@1 58.594 (59.150) Prec@5 82.812 (80.916) Epoch: [44][7570/10010] Time 0.319 (0.328) Data 0.000 (0.001) Loss 1.7304 (1.7953) Prec@1 60.156 (59.149) Prec@5 82.031 (80.917) Epoch: [44][7580/10010] Time 0.331 (0.328) Data 0.001 (0.001) Loss 1.7959 (1.7955) Prec@1 58.594 (59.146) Prec@5 83.594 (80.915) Epoch: [44][7590/10010] Time 0.313 (0.328) Data 0.000 (0.001) Loss 1.7660 (1.7955) Prec@1 65.625 (59.148) Prec@5 82.031 (80.914) Epoch: [44][7600/10010] Time 0.342 (0.328) Data 0.001 (0.001) Loss 1.8987 (1.7955) Prec@1 55.469 (59.146) Prec@5 78.906 (80.914) Epoch: [44][7610/10010] Time 0.343 (0.328) Data 0.001 (0.001) Loss 1.5887 (1.7954) Prec@1 61.719 (59.149) Prec@5 81.250 (80.915) Epoch: [44][7620/10010] Time 0.328 (0.328) Data 0.001 (0.001) Loss 1.7815 (1.7955) Prec@1 57.031 (59.148) Prec@5 77.344 (80.914) Epoch: [44][7630/10010] Time 0.335 (0.328) Data 0.001 (0.001) Loss 1.8209 (1.7955) Prec@1 55.469 (59.147) Prec@5 80.469 (80.914) Epoch: [44][7640/10010] Time 0.316 (0.328) Data 0.000 (0.001) Loss 1.8381 (1.7956) Prec@1 53.906 (59.146) Prec@5 80.469 (80.914) Epoch: [44][7650/10010] Time 0.342 (0.328) Data 0.000 (0.001) Loss 1.9015 (1.7955) Prec@1 57.812 (59.146) Prec@5 78.906 (80.916) Epoch: [44][7660/10010] Time 0.326 (0.328) Data 0.001 (0.001) Loss 2.0232 (1.7957) Prec@1 58.594 (59.145) Prec@5 78.906 (80.914) Epoch: [44][7670/10010] Time 0.329 (0.328) Data 0.001 (0.001) Loss 1.5354 (1.7957) Prec@1 66.406 (59.147) Prec@5 88.281 (80.914) Epoch: [44][7680/10010] Time 0.316 (0.328) Data 0.001 (0.001) Loss 2.1302 (1.7957) Prec@1 55.469 (59.148) Prec@5 78.125 (80.915) Epoch: [44][7690/10010] Time 0.322 (0.328) Data 0.000 (0.001) Loss 1.8067 (1.7956) Prec@1 60.938 (59.150) Prec@5 82.031 (80.915) Epoch: [44][7700/10010] Time 0.328 (0.328) Data 0.000 (0.001) Loss 1.7633 (1.7956) Prec@1 59.375 (59.150) Prec@5 84.375 (80.917) Epoch: [44][7710/10010] Time 0.324 (0.328) Data 0.001 (0.001) Loss 1.7790 (1.7956) Prec@1 57.812 (59.148) Prec@5 79.688 (80.915) Epoch: [44][7720/10010] Time 0.343 (0.328) Data 0.001 (0.001) Loss 1.8222 (1.7956) Prec@1 57.812 (59.147) Prec@5 82.031 (80.915) Epoch: [44][7730/10010] Time 0.334 (0.328) Data 0.000 (0.001) Loss 1.7975 (1.7956) Prec@1 58.594 (59.147) Prec@5 82.031 (80.915) Epoch: [44][7740/10010] Time 0.341 (0.328) Data 0.001 (0.001) Loss 2.1801 (1.7958) Prec@1 50.781 (59.146) Prec@5 73.438 (80.914) Epoch: [44][7750/10010] Time 0.335 (0.328) Data 0.001 (0.001) Loss 1.5382 (1.7957) Prec@1 62.500 (59.149) Prec@5 83.594 (80.914) Epoch: [44][7760/10010] Time 0.336 (0.328) Data 0.001 (0.001) Loss 1.8045 (1.7958) Prec@1 60.156 (59.146) Prec@5 80.469 (80.912) Epoch: [44][7770/10010] Time 0.337 (0.328) Data 0.000 (0.001) Loss 2.0986 (1.7959) Prec@1 58.594 (59.146) Prec@5 75.000 (80.909) Epoch: [44][7780/10010] Time 0.338 (0.328) Data 0.001 (0.001) Loss 2.0906 (1.7959) Prec@1 50.781 (59.146) Prec@5 73.438 (80.909) Epoch: [44][7790/10010] Time 0.322 (0.328) Data 0.001 (0.001) Loss 1.6081 (1.7957) Prec@1 61.719 (59.148) Prec@5 81.250 (80.911) Epoch: [44][7800/10010] Time 0.329 (0.328) Data 0.001 (0.001) Loss 1.9927 (1.7958) Prec@1 56.250 (59.146) Prec@5 76.562 (80.910) Epoch: [44][7810/10010] Time 0.321 (0.328) Data 0.000 (0.001) Loss 2.1460 (1.7960) Prec@1 54.688 (59.144) Prec@5 75.781 (80.908) Epoch: [44][7820/10010] Time 0.338 (0.328) Data 0.001 (0.001) Loss 2.3216 (1.7963) Prec@1 52.344 (59.141) Prec@5 74.219 (80.904) Epoch: [44][7830/10010] Time 0.327 (0.328) Data 0.000 (0.001) Loss 1.6826 (1.7963) Prec@1 60.938 (59.141) Prec@5 81.250 (80.902) Epoch: [44][7840/10010] Time 0.317 (0.328) Data 0.000 (0.001) Loss 1.8608 (1.7963) Prec@1 62.500 (59.138) Prec@5 79.688 (80.901) Epoch: [44][7850/10010] Time 0.321 (0.328) Data 0.001 (0.001) Loss 1.6524 (1.7963) Prec@1 64.844 (59.140) Prec@5 81.250 (80.900) Epoch: [44][7860/10010] Time 0.316 (0.328) Data 0.001 (0.001) Loss 1.7565 (1.7964) Prec@1 57.812 (59.138) Prec@5 82.812 (80.899) Epoch: [44][7870/10010] Time 0.334 (0.328) Data 0.001 (0.001) Loss 1.9224 (1.7966) Prec@1 51.562 (59.133) Prec@5 78.125 (80.896) Epoch: [44][7880/10010] Time 0.322 (0.328) Data 0.000 (0.001) Loss 1.6711 (1.7964) Prec@1 62.500 (59.136) Prec@5 83.594 (80.897) Epoch: [44][7890/10010] Time 0.318 (0.328) Data 0.000 (0.001) Loss 1.8330 (1.7966) Prec@1 53.125 (59.132) Prec@5 80.469 (80.895) Epoch: [44][7900/10010] Time 0.311 (0.328) Data 0.001 (0.001) Loss 1.6534 (1.7966) Prec@1 66.406 (59.132) Prec@5 85.156 (80.893) Epoch: [44][7910/10010] Time 0.313 (0.328) Data 0.001 (0.001) Loss 1.8706 (1.7966) Prec@1 60.938 (59.132) Prec@5 81.250 (80.894) Epoch: [44][7920/10010] Time 0.339 (0.328) Data 0.001 (0.001) Loss 1.8985 (1.7967) Prec@1 54.688 (59.130) Prec@5 81.250 (80.892) Epoch: [44][7930/10010] Time 0.323 (0.328) Data 0.000 (0.001) Loss 1.9820 (1.7966) Prec@1 57.031 (59.133) Prec@5 77.344 (80.894) Epoch: [44][7940/10010] Time 0.316 (0.328) Data 0.001 (0.001) Loss 2.0526 (1.7966) Prec@1 53.125 (59.133) Prec@5 78.125 (80.894) Epoch: [44][7950/10010] Time 0.320 (0.328) Data 0.001 (0.001) Loss 2.1124 (1.7966) Prec@1 55.469 (59.131) Prec@5 75.781 (80.893) Epoch: [44][7960/10010] Time 0.317 (0.328) Data 0.001 (0.001) Loss 1.8003 (1.7967) Prec@1 55.469 (59.130) Prec@5 81.250 (80.892) Epoch: [44][7970/10010] Time 0.327 (0.328) Data 0.001 (0.001) Loss 2.0497 (1.7968) Prec@1 53.125 (59.128) Prec@5 75.000 (80.891) Epoch: [44][7980/10010] Time 0.315 (0.328) Data 0.001 (0.001) Loss 1.5376 (1.7969) Prec@1 67.188 (59.124) Prec@5 84.375 (80.890) Epoch: [44][7990/10010] Time 0.314 (0.328) Data 0.001 (0.001) Loss 1.9887 (1.7968) Prec@1 53.125 (59.126) Prec@5 75.781 (80.892) Epoch: [44][8000/10010] Time 0.327 (0.328) Data 0.001 (0.001) Loss 1.8905 (1.7968) Prec@1 59.375 (59.128) Prec@5 75.781 (80.892) Epoch: [44][8010/10010] Time 0.323 (0.328) Data 0.000 (0.001) Loss 1.9100 (1.7967) Prec@1 57.031 (59.128) Prec@5 78.125 (80.893) Epoch: [44][8020/10010] Time 0.324 (0.328) Data 0.001 (0.001) Loss 1.8759 (1.7968) Prec@1 60.938 (59.127) Prec@5 81.250 (80.891) Epoch: [44][8030/10010] Time 0.335 (0.328) Data 0.001 (0.001) Loss 1.6901 (1.7968) Prec@1 57.812 (59.126) Prec@5 85.156 (80.892) Epoch: [44][8040/10010] Time 0.330 (0.328) Data 0.001 (0.001) Loss 1.7720 (1.7968) Prec@1 60.156 (59.127) Prec@5 82.812 (80.894) Epoch: [44][8050/10010] Time 0.315 (0.328) Data 0.000 (0.001) Loss 1.7802 (1.7968) Prec@1 61.719 (59.127) Prec@5 78.906 (80.894) Epoch: [44][8060/10010] Time 0.315 (0.328) Data 0.001 (0.001) Loss 1.7643 (1.7969) Prec@1 58.594 (59.123) Prec@5 77.344 (80.891) Epoch: [44][8070/10010] Time 0.335 (0.328) Data 0.000 (0.001) Loss 1.8605 (1.7969) Prec@1 57.031 (59.125) Prec@5 82.031 (80.891) Epoch: [44][8080/10010] Time 0.315 (0.328) Data 0.001 (0.001) Loss 1.4172 (1.7969) Prec@1 62.500 (59.124) Prec@5 89.844 (80.892) Epoch: [44][8090/10010] Time 0.341 (0.328) Data 0.000 (0.001) Loss 1.8263 (1.7969) Prec@1 58.594 (59.124) Prec@5 82.812 (80.890) Epoch: [44][8100/10010] Time 0.322 (0.328) Data 0.001 (0.001) Loss 1.8301 (1.7969) Prec@1 58.594 (59.126) Prec@5 79.688 (80.891) Epoch: [44][8110/10010] Time 0.340 (0.328) Data 0.001 (0.001) Loss 2.0259 (1.7971) Prec@1 54.688 (59.121) Prec@5 78.125 (80.887) Epoch: [44][8120/10010] Time 0.333 (0.328) Data 0.000 (0.001) Loss 2.0239 (1.7971) Prec@1 54.688 (59.122) Prec@5 79.688 (80.888) Epoch: [44][8130/10010] Time 0.337 (0.328) Data 0.001 (0.001) Loss 2.0641 (1.7971) Prec@1 52.344 (59.122) Prec@5 76.562 (80.888) Epoch: [44][8140/10010] Time 0.312 (0.327) Data 0.001 (0.001) Loss 1.8912 (1.7971) Prec@1 55.469 (59.121) Prec@5 79.688 (80.888) Epoch: [44][8150/10010] Time 0.322 (0.327) Data 0.001 (0.001) Loss 1.5040 (1.7970) Prec@1 65.625 (59.124) Prec@5 82.812 (80.889) Epoch: [44][8160/10010] Time 0.339 (0.327) Data 0.000 (0.001) Loss 1.8286 (1.7970) Prec@1 52.344 (59.123) Prec@5 80.469 (80.889) Epoch: [44][8170/10010] Time 0.336 (0.327) Data 0.000 (0.001) Loss 1.7709 (1.7970) Prec@1 58.594 (59.122) Prec@5 81.250 (80.889) Epoch: [44][8180/10010] Time 0.319 (0.327) Data 0.000 (0.001) Loss 1.9227 (1.7971) Prec@1 58.594 (59.121) Prec@5 76.562 (80.888) Epoch: [44][8190/10010] Time 0.328 (0.327) Data 0.001 (0.001) Loss 1.5229 (1.7973) Prec@1 64.844 (59.118) Prec@5 80.469 (80.886) Epoch: [44][8200/10010] Time 0.339 (0.327) Data 0.000 (0.001) Loss 1.9017 (1.7974) Prec@1 55.469 (59.115) Prec@5 80.469 (80.885) Epoch: [44][8210/10010] Time 0.326 (0.327) Data 0.001 (0.001) Loss 1.6414 (1.7973) Prec@1 64.062 (59.117) Prec@5 84.375 (80.887) Epoch: [44][8220/10010] Time 0.312 (0.327) Data 0.001 (0.001) Loss 1.6732 (1.7974) Prec@1 57.812 (59.117) Prec@5 80.469 (80.886) Epoch: [44][8230/10010] Time 0.326 (0.327) Data 0.001 (0.001) Loss 1.8706 (1.7974) Prec@1 57.031 (59.115) Prec@5 78.906 (80.887) Epoch: [44][8240/10010] Time 0.324 (0.327) Data 0.001 (0.001) Loss 1.9692 (1.7975) Prec@1 57.031 (59.113) Prec@5 78.125 (80.886) Epoch: [44][8250/10010] Time 0.333 (0.327) Data 0.000 (0.001) Loss 1.4594 (1.7975) Prec@1 70.312 (59.111) Prec@5 83.594 (80.886) Epoch: [44][8260/10010] Time 0.321 (0.327) Data 0.000 (0.001) Loss 2.1864 (1.7976) Prec@1 55.469 (59.109) Prec@5 73.438 (80.884) Epoch: [44][8270/10010] Time 0.339 (0.327) Data 0.000 (0.001) Loss 1.7528 (1.7975) Prec@1 57.812 (59.110) Prec@5 84.375 (80.885) Epoch: [44][8280/10010] Time 0.319 (0.327) Data 0.001 (0.001) Loss 1.7587 (1.7975) Prec@1 59.375 (59.112) Prec@5 81.250 (80.885) Epoch: [44][8290/10010] Time 0.326 (0.327) Data 0.001 (0.001) Loss 1.9894 (1.7975) Prec@1 52.344 (59.112) Prec@5 79.688 (80.885) Epoch: [44][8300/10010] Time 0.319 (0.327) Data 0.000 (0.001) Loss 1.7662 (1.7974) Prec@1 58.594 (59.113) Prec@5 82.031 (80.886) Epoch: [44][8310/10010] Time 0.331 (0.327) Data 0.000 (0.001) Loss 1.5396 (1.7973) Prec@1 63.281 (59.115) Prec@5 89.844 (80.888) Epoch: [44][8320/10010] Time 0.328 (0.327) Data 0.001 (0.001) Loss 1.8689 (1.7973) Prec@1 60.938 (59.117) Prec@5 79.688 (80.888) /data/vision/torralba/deepscene/lib/anaconda2/lib/python2.7/site-packages/PIL/TiffImagePlugin.py:692: UserWarning: Possibly corrupt EXIF data. Expecting to read 2555904 bytes but only got 0. Skipping tag 0 "Skipping tag %s" % (size, len(data), tag)) Epoch: [44][8330/10010] Time 0.325 (0.327) Data 0.001 (0.001) Loss 1.6520 (1.7973) Prec@1 58.594 (59.118) Prec@5 80.469 (80.888) Epoch: [44][8340/10010] Time 0.332 (0.327) Data 0.000 (0.001) Loss 1.5965 (1.7972) Prec@1 60.156 (59.119) Prec@5 87.500 (80.889) Epoch: [44][8350/10010] Time 0.335 (0.327) Data 0.000 (0.001) Loss 1.8990 (1.7973) Prec@1 57.812 (59.119) Prec@5 78.125 (80.888) Epoch: [44][8360/10010] Time 0.338 (0.327) Data 0.001 (0.001) Loss 1.8737 (1.7973) Prec@1 59.375 (59.118) Prec@5 81.250 (80.887) Epoch: [44][8370/10010] Time 0.328 (0.327) Data 0.001 (0.001) Loss 1.7627 (1.7974) Prec@1 62.500 (59.115) Prec@5 81.250 (80.884) Epoch: [44][8380/10010] Time 0.323 (0.327) Data 0.000 (0.001) Loss 1.6025 (1.7973) Prec@1 60.156 (59.118) Prec@5 86.719 (80.888) Epoch: [44][8390/10010] Time 0.337 (0.327) Data 0.000 (0.001) Loss 1.7295 (1.7972) Prec@1 61.719 (59.119) Prec@5 80.469 (80.888) Epoch: [44][8400/10010] Time 0.338 (0.327) Data 0.000 (0.001) Loss 2.1430 (1.7973) Prec@1 50.781 (59.118) Prec@5 72.656 (80.887) Epoch: [44][8410/10010] Time 0.313 (0.327) Data 0.001 (0.001) Loss 1.8577 (1.7972) Prec@1 58.594 (59.122) Prec@5 79.688 (80.888) Epoch: [44][8420/10010] Time 0.340 (0.327) Data 0.001 (0.001) Loss 1.6819 (1.7973) Prec@1 64.062 (59.122) Prec@5 84.375 (80.887) Epoch: [44][8430/10010] Time 0.325 (0.327) Data 0.000 (0.001) Loss 1.5553 (1.7973) Prec@1 60.938 (59.124) Prec@5 85.156 (80.887) Epoch: [44][8440/10010] Time 0.322 (0.327) Data 0.001 (0.001) Loss 1.9011 (1.7973) Prec@1 53.125 (59.124) Prec@5 78.125 (80.886) Epoch: [44][8450/10010] Time 0.313 (0.327) Data 0.001 (0.001) Loss 2.0493 (1.7975) Prec@1 53.906 (59.120) Prec@5 76.562 (80.882) Epoch: [44][8460/10010] Time 0.315 (0.327) Data 0.000 (0.001) Loss 1.6798 (1.7975) Prec@1 63.281 (59.120) Prec@5 81.250 (80.883) Epoch: [44][8470/10010] Time 0.338 (0.327) Data 0.001 (0.001) Loss 1.9001 (1.7975) Prec@1 61.719 (59.122) Prec@5 79.688 (80.884) Epoch: [44][8480/10010] Time 0.315 (0.327) Data 0.001 (0.001) Loss 2.0325 (1.7975) Prec@1 55.469 (59.120) Prec@5 76.562 (80.883) Epoch: [44][8490/10010] Time 0.323 (0.327) Data 0.001 (0.001) Loss 1.7845 (1.7976) Prec@1 57.031 (59.117) Prec@5 84.375 (80.880) Epoch: [44][8500/10010] Time 0.319 (0.327) Data 0.000 (0.001) Loss 1.9586 (1.7976) Prec@1 54.688 (59.117) Prec@5 78.906 (80.881) Epoch: [44][8510/10010] Time 0.336 (0.327) Data 0.000 (0.001) Loss 1.8302 (1.7977) Prec@1 57.812 (59.116) Prec@5 80.469 (80.881) Epoch: [44][8520/10010] Time 0.334 (0.327) Data 0.000 (0.001) Loss 1.4685 (1.7977) Prec@1 66.406 (59.114) Prec@5 85.938 (80.881) Epoch: [44][8530/10010] Time 0.330 (0.327) Data 0.001 (0.001) Loss 1.8113 (1.7977) Prec@1 53.906 (59.114) Prec@5 85.156 (80.882) Epoch: [44][8540/10010] Time 0.315 (0.327) Data 0.001 (0.001) Loss 1.7327 (1.7977) Prec@1 58.594 (59.116) Prec@5 78.125 (80.881) Epoch: [44][8550/10010] Time 0.312 (0.327) Data 0.000 (0.001) Loss 1.7574 (1.7977) Prec@1 60.156 (59.116) Prec@5 77.344 (80.881) Epoch: [44][8560/10010] Time 0.331 (0.327) Data 0.001 (0.001) Loss 1.7995 (1.7976) Prec@1 58.594 (59.117) Prec@5 82.031 (80.883) Epoch: [44][8570/10010] Time 0.334 (0.327) Data 0.001 (0.001) Loss 1.8222 (1.7976) Prec@1 57.812 (59.116) Prec@5 82.031 (80.883) Epoch: [44][8580/10010] Time 0.328 (0.327) Data 0.001 (0.001) Loss 1.9089 (1.7977) Prec@1 53.125 (59.113) Prec@5 80.469 (80.882) Epoch: [44][8590/10010] Time 0.337 (0.327) Data 0.000 (0.001) Loss 1.6802 (1.7977) Prec@1 57.812 (59.111) Prec@5 80.469 (80.881) Epoch: [44][8600/10010] Time 0.321 (0.327) Data 0.000 (0.001) Loss 1.9117 (1.7979) Prec@1 53.906 (59.108) Prec@5 75.781 (80.878) Epoch: [44][8610/10010] Time 0.332 (0.327) Data 0.000 (0.001) Loss 1.9548 (1.7979) Prec@1 56.250 (59.106) Prec@5 79.688 (80.877) Epoch: [44][8620/10010] Time 0.323 (0.327) Data 0.001 (0.001) Loss 1.8017 (1.7980) Prec@1 60.156 (59.104) Prec@5 77.344 (80.877) Epoch: [44][8630/10010] Time 0.331 (0.327) Data 0.001 (0.001) Loss 1.6942 (1.7980) Prec@1 60.156 (59.102) Prec@5 82.031 (80.876) Epoch: [44][8640/10010] Time 0.328 (0.327) Data 0.001 (0.001) Loss 1.9227 (1.7980) Prec@1 57.812 (59.103) Prec@5 78.125 (80.875) Epoch: [44][8650/10010] Time 0.334 (0.327) Data 0.000 (0.001) Loss 2.0173 (1.7981) Prec@1 53.906 (59.101) Prec@5 75.000 (80.874) Epoch: [44][8660/10010] Time 0.336 (0.327) Data 0.001 (0.001) Loss 1.9572 (1.7982) Prec@1 59.375 (59.101) Prec@5 78.125 (80.873) Epoch: [44][8670/10010] Time 0.340 (0.327) Data 0.000 (0.001) Loss 2.0490 (1.7983) Prec@1 54.688 (59.098) Prec@5 79.688 (80.871) Epoch: [44][8680/10010] Time 0.337 (0.327) Data 0.001 (0.001) Loss 1.6945 (1.7984) Prec@1 61.719 (59.097) Prec@5 85.156 (80.871) Epoch: [44][8690/10010] Time 0.335 (0.327) Data 0.001 (0.001) Loss 1.6525 (1.7984) Prec@1 64.844 (59.099) Prec@5 82.031 (80.869) Epoch: [44][8700/10010] Time 0.320 (0.327) Data 0.001 (0.001) Loss 1.9947 (1.7984) Prec@1 59.375 (59.098) Prec@5 74.219 (80.869) Epoch: [44][8710/10010] Time 0.339 (0.327) Data 0.000 (0.001) Loss 1.9624 (1.7984) Prec@1 60.938 (59.096) Prec@5 81.250 (80.869) Epoch: [44][8720/10010] Time 0.327 (0.327) Data 0.001 (0.001) Loss 2.2509 (1.7986) Prec@1 50.000 (59.094) Prec@5 73.438 (80.867) Epoch: [44][8730/10010] Time 0.329 (0.327) Data 0.000 (0.001) Loss 1.8305 (1.7986) Prec@1 60.938 (59.093) Prec@5 80.469 (80.865) Epoch: [44][8740/10010] Time 0.338 (0.327) Data 0.000 (0.001) Loss 1.8485 (1.7985) Prec@1 61.719 (59.096) Prec@5 80.469 (80.867) Epoch: [44][8750/10010] Time 0.326 (0.327) Data 0.001 (0.001) Loss 1.7433 (1.7986) Prec@1 57.812 (59.093) Prec@5 82.812 (80.865) Epoch: [44][8760/10010] Time 0.339 (0.327) Data 0.001 (0.001) Loss 1.5396 (1.7985) Prec@1 64.844 (59.095) Prec@5 83.594 (80.866) Epoch: [44][8770/10010] Time 0.331 (0.327) Data 0.001 (0.001) Loss 1.7174 (1.7984) Prec@1 62.500 (59.098) Prec@5 81.250 (80.866) Epoch: [44][8780/10010] Time 0.325 (0.327) Data 0.001 (0.001) Loss 2.1367 (1.7985) Prec@1 54.688 (59.099) Prec@5 76.562 (80.865) Epoch: [44][8790/10010] Time 0.343 (0.327) Data 0.001 (0.001) Loss 1.9356 (1.7985) Prec@1 55.469 (59.098) Prec@5 82.812 (80.866) Epoch: [44][8800/10010] Time 0.340 (0.327) Data 0.001 (0.001) Loss 1.7795 (1.7987) Prec@1 61.719 (59.096) Prec@5 82.031 (80.864) Epoch: [44][8810/10010] Time 0.314 (0.327) Data 0.001 (0.001) Loss 1.8679 (1.7987) Prec@1 56.250 (59.093) Prec@5 78.906 (80.862) Epoch: [44][8820/10010] Time 0.317 (0.327) Data 0.000 (0.001) Loss 2.0992 (1.7988) Prec@1 52.344 (59.091) Prec@5 77.344 (80.861) Epoch: [44][8830/10010] Time 0.322 (0.327) Data 0.000 (0.001) Loss 2.0393 (1.7988) Prec@1 55.469 (59.089) Prec@5 75.781 (80.861) Epoch: [44][8840/10010] Time 0.335 (0.327) Data 0.001 (0.001) Loss 1.7331 (1.7988) Prec@1 61.719 (59.089) Prec@5 81.250 (80.862) Epoch: [44][8850/10010] Time 0.318 (0.327) Data 0.001 (0.001) Loss 1.9135 (1.7987) Prec@1 60.938 (59.090) Prec@5 79.688 (80.863) Epoch: [44][8860/10010] Time 0.323 (0.327) Data 0.001 (0.001) Loss 1.6220 (1.7987) Prec@1 63.281 (59.091) Prec@5 82.031 (80.863) Epoch: [44][8870/10010] Time 0.331 (0.327) Data 0.001 (0.001) Loss 1.9221 (1.7988) Prec@1 58.594 (59.091) Prec@5 80.469 (80.863) Epoch: [44][8880/10010] Time 0.335 (0.327) Data 0.001 (0.001) Loss 1.7938 (1.7988) Prec@1 60.156 (59.091) Prec@5 78.125 (80.863) Epoch: [44][8890/10010] Time 0.326 (0.327) Data 0.001 (0.001) Loss 1.8161 (1.7988) Prec@1 54.688 (59.091) Prec@5 80.469 (80.863) Epoch: [44][8900/10010] Time 0.324 (0.327) Data 0.001 (0.001) Loss 1.9502 (1.7988) Prec@1 55.469 (59.090) Prec@5 78.906 (80.862) Epoch: [44][8910/10010] Time 0.317 (0.327) Data 0.001 (0.001) Loss 1.6829 (1.7988) Prec@1 61.719 (59.092) Prec@5 79.688 (80.863) Epoch: [44][8920/10010] Time 0.318 (0.327) Data 0.001 (0.001) Loss 1.4352 (1.7988) Prec@1 67.188 (59.094) Prec@5 88.281 (80.862) Epoch: [44][8930/10010] Time 0.319 (0.327) Data 0.001 (0.001) Loss 2.0742 (1.7989) Prec@1 53.906 (59.093) Prec@5 75.781 (80.860) Epoch: [44][8940/10010] Time 0.312 (0.327) Data 0.001 (0.001) Loss 1.6251 (1.7988) Prec@1 63.281 (59.095) Prec@5 83.594 (80.861) /data/vision/torralba/deepscene/lib/anaconda2/lib/python2.7/site-packages/PIL/TiffImagePlugin.py:692: UserWarning: Possibly corrupt EXIF data. Expecting to read 1835008 bytes but only got 0. Skipping tag 0 "Skipping tag %s" % (size, len(data), tag)) Epoch: [44][8950/10010] Time 0.313 (0.327) Data 0.000 (0.001) Loss 1.7132 (1.7988) Prec@1 58.594 (59.094) Prec@5 81.250 (80.861) Epoch: [44][8960/10010] Time 0.326 (0.327) Data 0.001 (0.001) Loss 1.9013 (1.7988) Prec@1 55.469 (59.093) Prec@5 80.469 (80.861) Epoch: [44][8970/10010] Time 0.325 (0.327) Data 0.000 (0.001) Loss 1.7719 (1.7988) Prec@1 60.156 (59.092) Prec@5 78.906 (80.861) Epoch: [44][8980/10010] Time 0.325 (0.327) Data 0.000 (0.001) Loss 1.8682 (1.7987) Prec@1 58.594 (59.094) Prec@5 77.344 (80.862) Epoch: [44][8990/10010] Time 0.313 (0.327) Data 0.001 (0.001) Loss 1.6387 (1.7987) Prec@1 57.812 (59.094) Prec@5 83.594 (80.861) Epoch: [44][9000/10010] Time 0.317 (0.327) Data 0.001 (0.001) Loss 1.5264 (1.7986) Prec@1 62.500 (59.096) Prec@5 84.375 (80.862) Epoch: [44][9010/10010] Time 0.320 (0.327) Data 0.000 (0.001) Loss 1.7097 (1.7986) Prec@1 61.719 (59.097) Prec@5 80.469 (80.862) Epoch: [44][9020/10010] Time 0.325 (0.327) Data 0.000 (0.001) Loss 1.8832 (1.7987) Prec@1 57.812 (59.096) Prec@5 78.906 (80.862) Epoch: [44][9030/10010] Time 0.324 (0.327) Data 0.000 (0.001) Loss 1.8107 (1.7987) Prec@1 58.594 (59.094) Prec@5 81.250 (80.859) Epoch: [44][9040/10010] Time 0.330 (0.327) Data 0.001 (0.001) Loss 1.7674 (1.7988) Prec@1 57.812 (59.094) Prec@5 82.812 (80.859) Epoch: [44][9050/10010] Time 0.329 (0.327) Data 0.001 (0.001) Loss 2.0347 (1.7988) Prec@1 57.031 (59.096) Prec@5 79.688 (80.859) Epoch: [44][9060/10010] Time 0.323 (0.327) Data 0.001 (0.001) Loss 1.7282 (1.7988) Prec@1 60.156 (59.097) Prec@5 80.469 (80.860) Epoch: [44][9070/10010] Time 0.336 (0.327) Data 0.001 (0.001) Loss 2.0326 (1.7989) Prec@1 53.125 (59.095) Prec@5 75.000 (80.858) Epoch: [44][9080/10010] Time 0.330 (0.327) Data 0.000 (0.001) Loss 1.8744 (1.7989) Prec@1 57.031 (59.095) Prec@5 77.344 (80.856) Epoch: [44][9090/10010] Time 0.322 (0.327) Data 0.001 (0.001) Loss 1.9965 (1.7990) Prec@1 57.031 (59.095) Prec@5 78.125 (80.854) Epoch: [44][9100/10010] Time 0.320 (0.327) Data 0.001 (0.001) Loss 1.6052 (1.7990) Prec@1 67.188 (59.094) Prec@5 87.500 (80.854) Epoch: [44][9110/10010] Time 0.322 (0.327) Data 0.001 (0.001) Loss 1.5973 (1.7990) Prec@1 58.594 (59.095) Prec@5 82.812 (80.855) Epoch: [44][9120/10010] Time 0.328 (0.327) Data 0.001 (0.001) Loss 2.0013 (1.7989) Prec@1 53.906 (59.097) Prec@5 79.688 (80.856) Epoch: [44][9130/10010] Time 0.319 (0.327) Data 0.000 (0.001) Loss 1.8336 (1.7989) Prec@1 59.375 (59.096) Prec@5 79.688 (80.857) Epoch: [44][9140/10010] Time 0.318 (0.327) Data 0.001 (0.001) Loss 1.9891 (1.7990) Prec@1 57.031 (59.096) Prec@5 75.781 (80.856) Epoch: [44][9150/10010] Time 0.316 (0.327) Data 0.001 (0.001) Loss 1.7814 (1.7991) Prec@1 57.031 (59.094) Prec@5 81.250 (80.855) Epoch: [44][9160/10010] Time 0.325 (0.327) Data 0.001 (0.001) Loss 1.9535 (1.7991) Prec@1 54.688 (59.094) Prec@5 78.125 (80.854) Epoch: [44][9170/10010] Time 0.330 (0.327) Data 0.001 (0.001) Loss 1.8272 (1.7991) Prec@1 60.938 (59.096) Prec@5 82.812 (80.855) Epoch: [44][9180/10010] Time 0.326 (0.327) Data 0.001 (0.001) Loss 1.9286 (1.7990) Prec@1 56.250 (59.098) Prec@5 75.000 (80.856) Epoch: [44][9190/10010] Time 0.322 (0.327) Data 0.001 (0.001) Loss 1.5515 (1.7990) Prec@1 64.062 (59.099) Prec@5 85.938 (80.857) Epoch: [44][9200/10010] Time 0.323 (0.327) Data 0.000 (0.001) Loss 2.0554 (1.7991) Prec@1 51.562 (59.096) Prec@5 74.219 (80.855) Epoch: [44][9210/10010] Time 0.328 (0.327) Data 0.001 (0.001) Loss 1.8249 (1.7992) Prec@1 60.938 (59.095) Prec@5 80.469 (80.854) Epoch: [44][9220/10010] Time 0.330 (0.327) Data 0.000 (0.001) Loss 1.9225 (1.7992) Prec@1 60.938 (59.096) Prec@5 78.125 (80.853) Epoch: [44][9230/10010] Time 0.340 (0.327) Data 0.001 (0.001) Loss 1.7057 (1.7991) Prec@1 64.062 (59.097) Prec@5 84.375 (80.855) Epoch: [44][9240/10010] Time 0.336 (0.327) Data 0.000 (0.001) Loss 1.9466 (1.7991) Prec@1 60.938 (59.098) Prec@5 80.469 (80.854) Epoch: [44][9250/10010] Time 0.312 (0.327) Data 0.000 (0.001) Loss 1.4991 (1.7992) Prec@1 64.062 (59.097) Prec@5 88.281 (80.854) Epoch: [44][9260/10010] Time 0.317 (0.327) Data 0.001 (0.001) Loss 1.8803 (1.7991) Prec@1 56.250 (59.098) Prec@5 82.031 (80.856) Epoch: [44][9270/10010] Time 0.333 (0.327) Data 0.001 (0.001) Loss 2.0314 (1.7991) Prec@1 58.594 (59.100) Prec@5 76.562 (80.856) Epoch: [44][9280/10010] Time 0.341 (0.327) Data 0.001 (0.001) Loss 1.5334 (1.7990) Prec@1 67.969 (59.102) Prec@5 82.812 (80.857) Epoch: [44][9290/10010] Time 0.319 (0.327) Data 0.001 (0.001) Loss 1.9227 (1.7991) Prec@1 55.469 (59.100) Prec@5 76.562 (80.854) Epoch: [44][9300/10010] Time 0.334 (0.327) Data 0.001 (0.001) Loss 1.8054 (1.7991) Prec@1 63.281 (59.099) Prec@5 85.156 (80.854) Epoch: [44][9310/10010] Time 0.341 (0.327) Data 0.000 (0.001) Loss 2.0269 (1.7991) Prec@1 56.250 (59.101) Prec@5 76.562 (80.854) Epoch: [44][9320/10010] Time 0.315 (0.327) Data 0.000 (0.001) Loss 1.5510 (1.7991) Prec@1 63.281 (59.100) Prec@5 82.031 (80.854) Epoch: [44][9330/10010] Time 0.341 (0.327) Data 0.000 (0.001) Loss 1.5425 (1.7991) Prec@1 64.844 (59.099) Prec@5 85.156 (80.854) Epoch: [44][9340/10010] Time 0.318 (0.327) Data 0.001 (0.001) Loss 1.7720 (1.7991) Prec@1 60.938 (59.097) Prec@5 82.812 (80.855) Epoch: [44][9350/10010] Time 0.338 (0.327) Data 0.000 (0.001) Loss 1.9099 (1.7992) Prec@1 57.812 (59.096) Prec@5 76.562 (80.853) Epoch: [44][9360/10010] Time 0.315 (0.327) Data 0.001 (0.001) Loss 1.6972 (1.7992) Prec@1 56.250 (59.095) Prec@5 80.469 (80.851) Epoch: [44][9370/10010] Time 0.332 (0.327) Data 0.001 (0.001) Loss 1.5676 (1.7992) Prec@1 62.500 (59.096) Prec@5 83.594 (80.850) Epoch: [44][9380/10010] Time 0.332 (0.327) Data 0.000 (0.001) Loss 1.7966 (1.7991) Prec@1 57.031 (59.097) Prec@5 77.344 (80.851) Epoch: [44][9390/10010] Time 0.323 (0.327) Data 0.001 (0.001) Loss 1.7239 (1.7991) Prec@1 66.406 (59.098) Prec@5 81.250 (80.852) Epoch: [44][9400/10010] Time 0.313 (0.327) Data 0.001 (0.001) Loss 1.8564 (1.7990) Prec@1 63.281 (59.099) Prec@5 80.469 (80.853) Epoch: [44][9410/10010] Time 0.331 (0.327) Data 0.000 (0.001) Loss 1.3846 (1.7990) Prec@1 67.969 (59.100) Prec@5 86.719 (80.853) Epoch: [44][9420/10010] Time 0.316 (0.327) Data 0.001 (0.001) Loss 2.0426 (1.7990) Prec@1 50.781 (59.099) Prec@5 75.781 (80.854) Epoch: [44][9430/10010] Time 0.332 (0.327) Data 0.001 (0.001) Loss 1.9000 (1.7990) Prec@1 64.062 (59.102) Prec@5 79.688 (80.854) Epoch: [44][9440/10010] Time 0.331 (0.327) Data 0.000 (0.001) Loss 1.7462 (1.7990) Prec@1 63.281 (59.101) Prec@5 82.031 (80.853) Epoch: [44][9450/10010] Time 0.333 (0.327) Data 0.000 (0.001) Loss 1.7853 (1.7991) Prec@1 59.375 (59.100) Prec@5 78.125 (80.853) Epoch: [44][9460/10010] Time 0.320 (0.327) Data 0.001 (0.001) Loss 1.8845 (1.7991) Prec@1 57.812 (59.100) Prec@5 78.125 (80.852) Epoch: [44][9470/10010] Time 0.317 (0.327) Data 0.001 (0.001) Loss 1.7632 (1.7992) Prec@1 61.719 (59.099) Prec@5 78.906 (80.851) Epoch: [44][9480/10010] Time 0.326 (0.327) Data 0.000 (0.001) Loss 2.0793 (1.7992) Prec@1 51.562 (59.100) Prec@5 78.906 (80.853) Epoch: [44][9490/10010] Time 0.315 (0.327) Data 0.001 (0.001) Loss 1.9605 (1.7992) Prec@1 50.781 (59.100) Prec@5 80.469 (80.854) Epoch: [44][9500/10010] Time 0.338 (0.327) Data 0.000 (0.001) Loss 1.8631 (1.7994) Prec@1 61.719 (59.095) Prec@5 76.562 (80.851) Epoch: [44][9510/10010] Time 0.333 (0.327) Data 0.001 (0.001) Loss 1.3757 (1.7993) Prec@1 68.750 (59.097) Prec@5 88.281 (80.853) Epoch: [44][9520/10010] Time 0.333 (0.327) Data 0.000 (0.001) Loss 1.8143 (1.7993) Prec@1 58.594 (59.096) Prec@5 78.906 (80.853) Epoch: [44][9530/10010] Time 0.317 (0.327) Data 0.000 (0.001) Loss 1.3998 (1.7993) Prec@1 63.281 (59.096) Prec@5 84.375 (80.851) Epoch: [44][9540/10010] Time 0.338 (0.327) Data 0.000 (0.001) Loss 1.8212 (1.7993) Prec@1 59.375 (59.096) Prec@5 77.344 (80.851) Epoch: [44][9550/10010] Time 0.336 (0.327) Data 0.001 (0.001) Loss 1.8875 (1.7993) Prec@1 56.250 (59.096) Prec@5 78.125 (80.851) Epoch: [44][9560/10010] Time 0.318 (0.327) Data 0.001 (0.001) Loss 1.8003 (1.7994) Prec@1 61.719 (59.095) Prec@5 75.781 (80.849) Epoch: [44][9570/10010] Time 0.318 (0.327) Data 0.001 (0.001) Loss 1.5393 (1.7994) Prec@1 67.188 (59.096) Prec@5 84.375 (80.850) Epoch: [44][9580/10010] Time 0.324 (0.327) Data 0.001 (0.001) Loss 1.4829 (1.7993) Prec@1 63.281 (59.096) Prec@5 85.156 (80.850) Epoch: [44][9590/10010] Time 0.313 (0.327) Data 0.001 (0.001) Loss 1.8102 (1.7994) Prec@1 60.938 (59.096) Prec@5 78.906 (80.849) Epoch: [44][9600/10010] Time 0.338 (0.327) Data 0.001 (0.001) Loss 2.3039 (1.7994) Prec@1 45.312 (59.095) Prec@5 74.219 (80.848) Epoch: [44][9610/10010] Time 0.330 (0.327) Data 0.000 (0.001) Loss 1.6506 (1.7994) Prec@1 64.062 (59.095) Prec@5 83.594 (80.847) Epoch: [44][9620/10010] Time 0.335 (0.327) Data 0.000 (0.001) Loss 1.5747 (1.7994) Prec@1 64.062 (59.096) Prec@5 82.031 (80.846) Epoch: [44][9630/10010] Time 0.315 (0.327) Data 0.001 (0.001) Loss 1.4968 (1.7994) Prec@1 68.750 (59.098) Prec@5 84.375 (80.847) Epoch: [44][9640/10010] Time 0.324 (0.327) Data 0.001 (0.001) Loss 2.1303 (1.7993) Prec@1 57.031 (59.098) Prec@5 75.000 (80.847) Epoch: [44][9650/10010] Time 0.337 (0.327) Data 0.000 (0.001) Loss 1.6466 (1.7994) Prec@1 60.156 (59.097) Prec@5 82.812 (80.847) Epoch: [44][9660/10010] Time 0.334 (0.327) Data 0.001 (0.001) Loss 1.7530 (1.7993) Prec@1 57.031 (59.097) Prec@5 80.469 (80.848) Epoch: [44][9670/10010] Time 0.338 (0.327) Data 0.001 (0.001) Loss 1.7221 (1.7993) Prec@1 58.594 (59.098) Prec@5 83.594 (80.847) Epoch: [44][9680/10010] Time 0.320 (0.327) Data 0.000 (0.001) Loss 1.5392 (1.7994) Prec@1 57.031 (59.097) Prec@5 85.156 (80.847) Epoch: [44][9690/10010] Time 0.316 (0.327) Data 0.000 (0.001) Loss 1.6347 (1.7993) Prec@1 61.719 (59.097) Prec@5 84.375 (80.849) Epoch: [44][9700/10010] Time 0.316 (0.327) Data 0.001 (0.001) Loss 1.6568 (1.7994) Prec@1 61.719 (59.096) Prec@5 83.594 (80.849) Epoch: [44][9710/10010] Time 0.336 (0.327) Data 0.001 (0.001) Loss 1.4916 (1.7993) Prec@1 63.281 (59.095) Prec@5 84.375 (80.849) Epoch: [44][9720/10010] Time 0.332 (0.327) Data 0.001 (0.001) Loss 1.6845 (1.7993) Prec@1 56.250 (59.096) Prec@5 82.031 (80.850) Epoch: [44][9730/10010] Time 0.318 (0.327) Data 0.001 (0.001) Loss 1.8070 (1.7994) Prec@1 64.062 (59.093) Prec@5 82.031 (80.848) Epoch: [44][9740/10010] Time 0.310 (0.327) Data 0.001 (0.001) Loss 1.7558 (1.7996) Prec@1 64.062 (59.091) Prec@5 78.125 (80.846) Epoch: [44][9750/10010] Time 0.315 (0.327) Data 0.000 (0.001) Loss 1.5440 (1.7995) Prec@1 56.250 (59.091) Prec@5 89.062 (80.846) Epoch: [44][9760/10010] Time 0.320 (0.327) Data 0.001 (0.001) Loss 1.7008 (1.7995) Prec@1 64.062 (59.093) Prec@5 79.688 (80.847) Epoch: [44][9770/10010] Time 0.342 (0.327) Data 0.001 (0.001) Loss 1.5325 (1.7995) Prec@1 64.844 (59.094) Prec@5 86.719 (80.846) Epoch: [44][9780/10010] Time 0.323 (0.327) Data 0.000 (0.001) Loss 1.6828 (1.7996) Prec@1 61.719 (59.092) Prec@5 81.250 (80.845) Epoch: [44][9790/10010] Time 0.321 (0.327) Data 0.000 (0.001) Loss 1.9432 (1.7995) Prec@1 54.688 (59.092) Prec@5 79.688 (80.846) Epoch: [44][9800/10010] Time 0.335 (0.327) Data 0.001 (0.001) Loss 1.7189 (1.7996) Prec@1 57.812 (59.090) Prec@5 81.250 (80.844) Epoch: [44][9810/10010] Time 0.326 (0.327) Data 0.001 (0.001) Loss 1.9300 (1.7996) Prec@1 54.688 (59.091) Prec@5 76.562 (80.845) Epoch: [44][9820/10010] Time 0.335 (0.327) Data 0.001 (0.001) Loss 1.9670 (1.7997) Prec@1 61.719 (59.089) Prec@5 80.469 (80.843) Epoch: [44][9830/10010] Time 0.337 (0.327) Data 0.000 (0.001) Loss 1.8075 (1.7998) Prec@1 59.375 (59.086) Prec@5 82.812 (80.842) Epoch: [44][9840/10010] Time 0.339 (0.327) Data 0.001 (0.001) Loss 1.8530 (1.7997) Prec@1 60.156 (59.086) Prec@5 78.125 (80.842) Epoch: [44][9850/10010] Time 0.330 (0.327) Data 0.001 (0.001) Loss 1.3975 (1.7997) Prec@1 67.969 (59.086) Prec@5 83.594 (80.843) Epoch: [44][9860/10010] Time 0.323 (0.327) Data 0.001 (0.001) Loss 1.7878 (1.7997) Prec@1 57.031 (59.086) Prec@5 85.156 (80.841) Epoch: [44][9870/10010] Time 0.319 (0.327) Data 0.001 (0.001) Loss 1.7515 (1.7998) Prec@1 59.375 (59.087) Prec@5 83.594 (80.839) Epoch: [44][9880/10010] Time 0.331 (0.327) Data 0.001 (0.001) Loss 2.2870 (1.7997) Prec@1 53.125 (59.089) Prec@5 73.438 (80.839) Epoch: [44][9890/10010] Time 0.320 (0.327) Data 0.000 (0.001) Loss 1.6965 (1.7997) Prec@1 56.250 (59.089) Prec@5 85.156 (80.840) Epoch: [44][9900/10010] Time 0.338 (0.327) Data 0.000 (0.001) Loss 1.6435 (1.7997) Prec@1 63.281 (59.090) Prec@5 87.500 (80.840) Epoch: [44][9910/10010] Time 0.330 (0.327) Data 0.001 (0.001) Loss 2.1272 (1.7997) Prec@1 46.875 (59.089) Prec@5 75.000 (80.840) Epoch: [44][9920/10010] Time 0.332 (0.327) Data 0.001 (0.001) Loss 1.9674 (1.7997) Prec@1 56.250 (59.089) Prec@5 76.562 (80.840) Epoch: [44][9930/10010] Time 0.317 (0.327) Data 0.001 (0.001) Loss 1.6947 (1.7997) Prec@1 61.719 (59.090) Prec@5 79.688 (80.841) Epoch: [44][9940/10010] Time 0.311 (0.327) Data 0.000 (0.001) Loss 1.7450 (1.7997) Prec@1 62.500 (59.088) Prec@5 79.688 (80.840) Epoch: [44][9950/10010] Time 0.328 (0.327) Data 0.001 (0.001) Loss 1.5251 (1.7996) Prec@1 60.938 (59.089) Prec@5 86.719 (80.843) Epoch: [44][9960/10010] Time 0.329 (0.327) Data 0.000 (0.001) Loss 1.9275 (1.7997) Prec@1 50.781 (59.087) Prec@5 81.250 (80.843) Epoch: [44][9970/10010] Time 0.319 (0.327) Data 0.000 (0.001) Loss 1.5765 (1.7996) Prec@1 61.719 (59.087) Prec@5 84.375 (80.843) Epoch: [44][9980/10010] Time 0.321 (0.327) Data 0.001 (0.001) Loss 1.8894 (1.7996) Prec@1 56.250 (59.088) Prec@5 81.250 (80.844) Epoch: [44][9990/10010] Time 0.313 (0.327) Data 0.001 (0.001) Loss 1.7085 (1.7996) Prec@1 59.375 (59.088) Prec@5 84.375 (80.844) Epoch: [44][10000/10010] Time 0.318 (0.327) Data 0.000 (0.001) Loss 1.9452 (1.7998) Prec@1 55.469 (59.086) Prec@5 78.125 (80.842) Test: [0/391] Time 1.203 (1.203) Loss 0.8520 (0.8520) Prec@1 79.688 (79.688) Prec@5 92.969 (92.969) Test: [10/391] Time 0.107 (0.205) Loss 1.4685 (0.8195) Prec@1 69.531 (79.972) Prec@5 89.062 (93.466) Test: [20/391] Time 0.224 (0.165) Loss 1.0604 (1.1363) Prec@1 76.562 (72.545) Prec@5 92.188 (89.844) Test: [30/391] Time 0.108 (0.147) Loss 1.9064 (1.2834) Prec@1 58.594 (68.523) Prec@5 85.156 (88.710) Test: [40/391] Time 0.110 (0.139) Loss 1.2019 (1.1423) Prec@1 71.094 (71.665) Prec@5 85.156 (90.053) Test: [50/391] Time 0.107 (0.133) Loss 0.6880 (1.1868) Prec@1 85.938 (71.078) Prec@5 92.188 (89.568) Test: [60/391] Time 0.098 (0.129) Loss 0.8739 (1.1178) Prec@1 78.125 (72.772) Prec@5 96.875 (90.356) Test: [70/391] Time 0.103 (0.125) Loss 1.1895 (1.1635) Prec@1 69.531 (71.083) Prec@5 94.531 (90.130) Test: [80/391] Time 0.109 (0.125) Loss 1.0925 (1.1819) Prec@1 72.656 (70.062) Prec@5 93.750 (90.249) Test: [90/391] Time 0.105 (0.122) Loss 1.3774 (1.1946) Prec@1 54.688 (69.772) Prec@5 92.969 (90.239) Test: [100/391] Time 0.106 (0.121) Loss 1.0063 (1.1837) Prec@1 71.875 (69.632) Prec@5 92.969 (90.555) Test: [110/391] Time 0.103 (0.119) Loss 1.4465 (1.1837) Prec@1 53.906 (69.426) Prec@5 88.281 (90.759) Test: [120/391] Time 0.105 (0.118) Loss 0.9961 (1.1734) Prec@1 73.438 (69.777) Prec@5 92.969 (90.922) Test: [130/391] Time 0.108 (0.117) Loss 0.6859 (1.1744) Prec@1 84.375 (69.984) Prec@5 95.312 (90.923) Test: [140/391] Time 0.101 (0.117) Loss 1.5888 (1.1768) Prec@1 53.906 (69.914) Prec@5 89.844 (90.935) Test: [150/391] Time 0.099 (0.116) Loss 1.2513 (1.1796) Prec@1 53.906 (69.821) Prec@5 93.750 (90.801) Test: [160/391] Time 0.112 (0.115) Loss 1.2178 (1.1885) Prec@1 68.750 (69.745) Prec@5 91.406 (90.669) Test: [170/391] Time 0.105 (0.116) Loss 2.0346 (1.2293) Prec@1 48.438 (68.869) Prec@5 82.031 (90.136) Test: [180/391] Time 0.101 (0.115) Loss 2.1517 (1.2605) Prec@1 48.438 (68.258) Prec@5 84.375 (89.723) Test: [190/391] Time 0.107 (0.114) Loss 2.4091 (1.2946) Prec@1 42.969 (67.621) Prec@5 76.562 (89.206) Test: [200/391] Time 0.105 (0.114) Loss 1.8482 (1.3284) Prec@1 49.219 (66.954) Prec@5 79.688 (88.709) Test: [210/391] Time 0.106 (0.114) Loss 1.6037 (1.3466) Prec@1 61.719 (66.577) Prec@5 84.375 (88.444) Test: [220/391] Time 0.105 (0.114) Loss 0.7052 (1.3537) Prec@1 85.156 (66.534) Prec@5 93.750 (88.281) Test: [230/391] Time 0.106 (0.113) Loss 2.4831 (1.3695) Prec@1 44.531 (66.352) Prec@5 74.219 (88.072) Test: [240/391] Time 0.106 (0.113) Loss 1.7732 (1.3759) Prec@1 63.281 (66.409) Prec@5 83.594 (87.912) Test: [250/391] Time 0.106 (0.113) Loss 1.0042 (1.4019) Prec@1 76.562 (65.902) Prec@5 91.406 (87.547) Test: [260/391] Time 0.103 (0.113) Loss 1.8295 (1.4220) Prec@1 55.469 (65.463) Prec@5 80.469 (87.293) Test: [270/391] Time 0.107 (0.112) Loss 2.2685 (1.4333) Prec@1 45.312 (65.219) Prec@5 77.344 (87.070) Test: [280/391] Time 0.104 (0.112) Loss 2.1404 (1.4543) Prec@1 48.438 (64.872) Prec@5 77.344 (86.824) Test: [290/391] Time 0.101 (0.112) Loss 1.7108 (1.4637) Prec@1 57.031 (64.763) Prec@5 85.156 (86.638) Test: [300/391] Time 0.109 (0.112) Loss 1.7148 (1.4745) Prec@1 65.625 (64.605) Prec@5 82.031 (86.438) Test: [310/391] Time 0.108 (0.112) Loss 1.9572 (1.4861) Prec@1 58.594 (64.402) Prec@5 76.562 (86.236) Test: [320/391] Time 0.115 (0.112) Loss 0.7802 (1.4920) Prec@1 82.812 (64.376) Prec@5 93.750 (86.164) Test: [330/391] Time 0.105 (0.112) Loss 2.1577 (1.5135) Prec@1 57.031 (64.003) Prec@5 79.688 (85.876) Test: [340/391] Time 0.107 (0.111) Loss 1.6385 (1.5200) Prec@1 53.906 (63.792) Prec@5 86.719 (85.784) Test: [350/391] Time 0.101 (0.111) Loss 1.5860 (1.5286) Prec@1 64.844 (63.602) Prec@5 89.062 (85.675) Test: [360/391] Time 0.101 (0.111) Loss 1.5011 (1.5381) Prec@1 60.156 (63.413) Prec@5 91.406 (85.587) Test: [370/391] Time 0.109 (0.111) Loss 1.3948 (1.5316) Prec@1 59.375 (63.492) Prec@5 92.188 (85.691) Test: [380/391] Time 0.103 (0.111) Loss 1.3336 (1.5360) Prec@1 64.844 (63.363) Prec@5 91.406 (85.644) Test: [390/391] Time 0.070 (0.110) Loss 2.7662 (1.5283) Prec@1 37.500 (63.554) Prec@5 71.250 (85.752) * Prec@1 63.554 Prec@5 85.752 Epoch: [45][0/10010] Time 2.493 (2.493) Data 2.304 (2.304) Loss 1.6469 (1.6469) Prec@1 59.375 (59.375) Prec@5 84.375 (84.375) Epoch: [45][10/10010] Time 0.318 (0.515) Data 0.000 (0.210) Loss 2.0305 (1.8275) Prec@1 57.031 (59.730) Prec@5 76.562 (80.540) Epoch: [45][20/10010] Time 0.315 (0.421) Data 0.000 (0.110) Loss 1.7956 (1.7810) Prec@1 57.031 (59.449) Prec@5 78.125 (80.692) Epoch: [45][30/10010] Time 0.322 (0.387) Data 0.000 (0.075) Loss 1.6032 (1.7693) Prec@1 61.719 (59.677) Prec@5 87.500 (81.200) Epoch: [45][40/10010] Time 0.310 (0.372) Data 0.001 (0.057) Loss 1.7237 (1.7738) Prec@1 64.844 (59.813) Prec@5 81.250 (81.269) Epoch: [45][50/10010] Time 0.321 (0.362) Data 0.001 (0.046) Loss 1.8916 (1.7810) Prec@1 55.469 (59.620) Prec@5 78.125 (81.189) Epoch: [45][60/10010] Time 0.322 (0.355) Data 0.001 (0.038) Loss 1.6185 (1.7711) Prec@1 64.844 (59.939) Prec@5 81.250 (81.224) Epoch: [45][70/10010] Time 0.320 (0.351) Data 0.000 (0.033) Loss 1.8274 (1.7660) Prec@1 56.250 (59.947) Prec@5 76.562 (81.327) Epoch: [45][80/10010] Time 0.318 (0.347) Data 0.001 (0.029) Loss 2.0782 (1.7685) Prec@1 53.906 (59.838) Prec@5 80.469 (81.472) Epoch: [45][90/10010] Time 0.327 (0.345) Data 0.001 (0.026) Loss 1.7126 (1.7772) Prec@1 63.281 (59.641) Prec@5 80.469 (81.379) Epoch: [45][100/10010] Time 0.334 (0.343) Data 0.000 (0.023) Loss 1.5253 (1.7696) Prec@1 61.719 (59.762) Prec@5 84.375 (81.443) Epoch: [45][110/10010] Time 0.337 (0.343) Data 0.001 (0.021) Loss 1.8659 (1.7773) Prec@1 54.688 (59.621) Prec@5 82.812 (81.349) Epoch: [45][120/10010] Time 0.320 (0.341) Data 0.001 (0.020) Loss 1.6749 (1.7713) Prec@1 57.031 (59.743) Prec@5 80.469 (81.431) Epoch: [45][130/10010] Time 0.326 (0.340) Data 0.001 (0.018) Loss 1.7662 (1.7665) Prec@1 53.906 (59.685) Prec@5 78.906 (81.477) Epoch: [45][140/10010] Time 0.312 (0.339) Data 0.000 (0.017) Loss 1.6420 (1.7685) Prec@1 60.156 (59.591) Prec@5 83.594 (81.389) Epoch: [45][150/10010] Time 0.341 (0.338) Data 0.000 (0.016) Loss 1.8053 (1.7665) Prec@1 64.062 (59.592) Prec@5 79.688 (81.400) Epoch: [45][160/10010] Time 0.319 (0.337) Data 0.000 (0.015) Loss 1.7995 (1.7630) Prec@1 60.156 (59.686) Prec@5 82.812 (81.493) Epoch: [45][170/10010] Time 0.319 (0.336) Data 0.000 (0.014) Loss 1.6944 (1.7606) Prec@1 67.188 (59.667) Prec@5 82.812 (81.565) Epoch: [45][180/10010] Time 0.325 (0.335) Data 0.001 (0.013) Loss 1.5736 (1.7671) Prec@1 63.281 (59.586) Prec@5 84.375 (81.505) Epoch: [45][190/10010] Time 0.330 (0.335) Data 0.001 (0.013) Loss 1.9079 (1.7688) Prec@1 57.812 (59.477) Prec@5 78.906 (81.430) Epoch: [45][200/10010] Time 0.339 (0.335) Data 0.001 (0.012) Loss 1.8237 (1.7701) Prec@1 55.469 (59.379) Prec@5 75.781 (81.359) Epoch: [45][210/10010] Time 0.314 (0.335) Data 0.001 (0.012) Loss 1.8007 (1.7647) Prec@1 58.594 (59.482) Prec@5 80.469 (81.413) Epoch: [45][220/10010] Time 0.335 (0.335) Data 0.001 (0.011) Loss 1.7412 (1.7642) Prec@1 65.625 (59.478) Prec@5 78.906 (81.360) Epoch: [45][230/10010] Time 0.320 (0.334) Data 0.001 (0.011) Loss 1.7313 (1.7591) Prec@1 57.812 (59.544) Prec@5 83.594 (81.473) Epoch: [45][240/10010] Time 0.337 (0.334) Data 0.001 (0.010) Loss 1.8259 (1.7608) Prec@1 59.375 (59.527) Prec@5 81.250 (81.441) Epoch: [45][250/10010] Time 0.340 (0.333) Data 0.001 (0.010) Loss 1.8170 (1.7605) Prec@1 64.844 (59.552) Prec@5 77.344 (81.437) Epoch: [45][260/10010] Time 0.322 (0.333) Data 0.001 (0.009) Loss 1.9915 (1.7610) Prec@1 50.000 (59.561) Prec@5 79.688 (81.457) Epoch: [45][270/10010] Time 0.324 (0.333) Data 0.001 (0.009) Loss 1.9393 (1.7626) Prec@1 59.375 (59.585) Prec@5 75.000 (81.409) Epoch: [45][280/10010] Time 0.339 (0.333) Data 0.001 (0.009) Loss 1.6398 (1.7618) Prec@1 65.625 (59.650) Prec@5 87.500 (81.431) Epoch: [45][290/10010] Time 0.314 (0.333) Data 0.001 (0.009) Loss 1.7157 (1.7604) Prec@1 63.281 (59.762) Prec@5 80.469 (81.443) Epoch: [45][300/10010] Time 0.339 (0.333) Data 0.000 (0.008) Loss 1.8971 (1.7597) Prec@1 57.031 (59.780) Prec@5 76.562 (81.465) Epoch: [45][310/10010] Time 0.321 (0.332) Data 0.001 (0.008) Loss 1.6684 (1.7619) Prec@1 62.500 (59.724) Prec@5 80.469 (81.426) Epoch: [45][320/10010] Time 0.337 (0.332) Data 0.001 (0.008) Loss 1.5290 (1.7635) Prec@1 63.281 (59.672) Prec@5 83.594 (81.413) Epoch: [45][330/10010] Time 0.317 (0.332) Data 0.001 (0.008) Loss 1.6346 (1.7645) Prec@1 60.156 (59.637) Prec@5 82.812 (81.401) Epoch: [45][340/10010] Time 0.332 (0.332) Data 0.000 (0.007) Loss 1.9882 (1.7660) Prec@1 54.688 (59.620) Prec@5 77.344 (81.406) Epoch: [45][350/10010] Time 0.336 (0.332) Data 0.000 (0.007) Loss 1.7294 (1.7641) Prec@1 62.500 (59.716) Prec@5 78.906 (81.439) Epoch: [45][360/10010] Time 0.331 (0.332) Data 0.001 (0.007) Loss 1.5982 (1.7647) Prec@1 62.500 (59.671) Prec@5 85.156 (81.414) Epoch: [45][370/10010] Time 0.317 (0.332) Data 0.001 (0.007) Loss 1.4317 (1.7642) Prec@1 68.750 (59.651) Prec@5 86.719 (81.437) Epoch: [45][380/10010] Time 0.322 (0.332) Data 0.001 (0.007) Loss 1.9637 (1.7649) Prec@1 49.219 (59.599) Prec@5 78.125 (81.449) Epoch: [45][390/10010] Time 0.339 (0.331) Data 0.001 (0.007) Loss 1.7813 (1.7624) Prec@1 64.062 (59.647) Prec@5 80.469 (81.478) Epoch: [45][400/10010] Time 0.341 (0.331) Data 0.001 (0.006) Loss 1.8495 (1.7633) Prec@1 62.500 (59.673) Prec@5 79.688 (81.437) Epoch: [45][410/10010] Time 0.342 (0.331) Data 0.001 (0.006) Loss 1.9329 (1.7647) Prec@1 57.812 (59.637) Prec@5 80.469 (81.442) Epoch: [45][420/10010] Time 0.314 (0.331) Data 0.001 (0.006) Loss 1.6746 (1.7632) Prec@1 64.062 (59.663) Prec@5 86.719 (81.486) Epoch: [45][430/10010] Time 0.332 (0.331) Data 0.000 (0.006) Loss 1.9381 (1.7632) Prec@1 57.031 (59.670) Prec@5 75.000 (81.480) Epoch: [45][440/10010] Time 0.327 (0.331) Data 0.001 (0.006) Loss 2.0906 (1.7648) Prec@1 52.344 (59.619) Prec@5 75.781 (81.452) Epoch: [45][450/10010] Time 0.328 (0.331) Data 0.001 (0.006) Loss 1.6767 (1.7649) Prec@1 61.719 (59.626) Prec@5 81.250 (81.439) Epoch: [45][460/10010] Time 0.317 (0.331) Data 0.001 (0.006) Loss 1.5265 (1.7645) Prec@1 60.156 (59.650) Prec@5 84.375 (81.425) Epoch: [45][470/10010] Time 0.322 (0.331) Data 0.000 (0.006) Loss 1.6036 (1.7636) Prec@1 56.250 (59.642) Prec@5 84.375 (81.447) Epoch: [45][480/10010] Time 0.326 (0.331) Data 0.001 (0.005) Loss 1.6953 (1.7632) Prec@1 66.406 (59.619) Prec@5 80.469 (81.437) Epoch: [45][490/10010] Time 0.331 (0.331) Data 0.001 (0.005) Loss 1.8578 (1.7624) Prec@1 60.938 (59.653) Prec@5 79.688 (81.436) Epoch: [45][500/10010] Time 0.337 (0.330) Data 0.001 (0.005) Loss 1.7204 (1.7633) Prec@1 57.812 (59.615) Prec@5 85.938 (81.436) Epoch: [45][510/10010] Time 0.313 (0.330) Data 0.000 (0.005) Loss 1.8309 (1.7640) Prec@1 59.375 (59.607) Prec@5 78.906 (81.438) Epoch: [45][520/10010] Time 0.327 (0.330) Data 0.000 (0.005) Loss 1.7436 (1.7631) Prec@1 57.812 (59.627) Prec@5 87.500 (81.455) Epoch: [45][530/10010] Time 0.320 (0.330) Data 0.001 (0.005) Loss 1.7892 (1.7632) Prec@1 58.594 (59.618) Prec@5 81.250 (81.478) Epoch: [45][540/10010] Time 0.338 (0.330) Data 0.001 (0.005) Loss 1.6116 (1.7628) Prec@1 60.938 (59.595) Prec@5 85.938 (81.488) Epoch: [45][550/10010] Time 0.337 (0.330) Data 0.000 (0.005) Loss 2.0565 (1.7656) Prec@1 56.250 (59.566) Prec@5 77.344 (81.443) Epoch: [45][560/10010] Time 0.341 (0.330) Data 0.001 (0.005) Loss 1.6344 (1.7647) Prec@1 60.938 (59.589) Prec@5 84.375 (81.452) Epoch: [45][570/10010] Time 0.320 (0.330) Data 0.001 (0.005) Loss 1.6706 (1.7649) Prec@1 64.844 (59.609) Prec@5 85.156 (81.440) Epoch: [45][580/10010] Time 0.339 (0.330) Data 0.000 (0.005) Loss 2.0801 (1.7649) Prec@1 54.688 (59.605) Prec@5 78.125 (81.438) Epoch: [45][590/10010] Time 0.334 (0.330) Data 0.000 (0.005) Loss 1.6552 (1.7650) Prec@1 59.375 (59.597) Prec@5 82.031 (81.436) Epoch: [45][600/10010] Time 0.322 (0.330) Data 0.000 (0.004) Loss 1.7495 (1.7657) Prec@1 61.719 (59.570) Prec@5 82.031 (81.422) Epoch: [45][610/10010] Time 0.314 (0.330) Data 0.000 (0.004) Loss 1.7877 (1.7667) Prec@1 61.719 (59.577) Prec@5 82.031 (81.419) Epoch: [45][620/10010] Time 0.326 (0.330) Data 0.000 (0.004) Loss 1.7830 (1.7677) Prec@1 60.938 (59.566) Prec@5 81.250 (81.410) Epoch: [45][630/10010] Time 0.313 (0.330) Data 0.001 (0.004) Loss 1.5120 (1.7685) Prec@1 66.406 (59.572) Prec@5 82.031 (81.387) Epoch: [45][640/10010] Time 0.338 (0.330) Data 0.001 (0.004) Loss 1.7187 (1.7682) Prec@1 57.812 (59.561) Prec@5 86.719 (81.390) Epoch: [45][650/10010] Time 0.335 (0.330) Data 0.001 (0.004) Loss 2.0292 (1.7688) Prec@1 53.906 (59.549) Prec@5 76.562 (81.376) Epoch: [45][660/10010] Time 0.337 (0.330) Data 0.000 (0.004) Loss 1.6678 (1.7684) Prec@1 58.594 (59.550) Prec@5 83.594 (81.375) Epoch: [45][670/10010] Time 0.321 (0.330) Data 0.000 (0.004) Loss 1.9380 (1.7691) Prec@1 54.688 (59.530) Prec@5 78.906 (81.362) Epoch: [45][680/10010] Time 0.333 (0.330) Data 0.001 (0.004) Loss 1.8854 (1.7697) Prec@1 59.375 (59.506) Prec@5 82.812 (81.352) Epoch: [45][690/10010] Time 0.329 (0.330) Data 0.001 (0.004) Loss 1.7032 (1.7690) Prec@1 63.281 (59.519) Prec@5 84.375 (81.370) Epoch: [45][700/10010] Time 0.320 (0.330) Data 0.001 (0.004) Loss 1.6310 (1.7693) Prec@1 63.281 (59.519) Prec@5 82.031 (81.350) Epoch: [45][710/10010] Time 0.335 (0.329) Data 0.001 (0.004) Loss 1.8771 (1.7678) Prec@1 61.719 (59.550) Prec@5 77.344 (81.360) Epoch: [45][720/10010] Time 0.319 (0.329) Data 0.001 (0.004) Loss 1.6262 (1.7686) Prec@1 59.375 (59.541) Prec@5 83.594 (81.345) Epoch: [45][730/10010] Time 0.324 (0.329) Data 0.000 (0.004) Loss 2.1065 (1.7684) Prec@1 50.781 (59.546) Prec@5 75.000 (81.345) Epoch: [45][740/10010] Time 0.320 (0.329) Data 0.000 (0.004) Loss 1.6697 (1.7686) Prec@1 62.500 (59.527) Prec@5 84.375 (81.347) Epoch: [45][750/10010] Time 0.335 (0.329) Data 0.001 (0.004) Loss 1.7841 (1.7680) Prec@1 59.375 (59.531) Prec@5 78.906 (81.353) Epoch: [45][760/10010] Time 0.328 (0.329) Data 0.001 (0.004) Loss 1.8742 (1.7682) Prec@1 57.031 (59.504) Prec@5 77.344 (81.362) Epoch: [45][770/10010] Time 0.332 (0.329) Data 0.001 (0.004) Loss 1.9645 (1.7684) Prec@1 62.500 (59.507) Prec@5 77.344 (81.362) Epoch: [45][780/10010] Time 0.326 (0.329) Data 0.001 (0.004) Loss 1.7263 (1.7682) Prec@1 57.031 (59.500) Prec@5 84.375 (81.385) Epoch: [45][790/10010] Time 0.313 (0.329) Data 0.001 (0.004) Loss 1.9987 (1.7685) Prec@1 55.469 (59.497) Prec@5 76.562 (81.371) Epoch: [45][800/10010] Time 0.321 (0.329) Data 0.001 (0.004) Loss 1.5613 (1.7678) Prec@1 60.938 (59.496) Prec@5 85.156 (81.373) Epoch: [45][810/10010] Time 0.323 (0.329) Data 0.001 (0.003) Loss 1.9198 (1.7674) Prec@1 51.562 (59.512) Prec@5 78.125 (81.374) Epoch: [45][820/10010] Time 0.328 (0.329) Data 0.000 (0.003) Loss 1.8268 (1.7671) Prec@1 56.250 (59.521) Prec@5 79.688 (81.376) Epoch: [45][830/10010] Time 0.318 (0.329) Data 0.001 (0.003) Loss 1.9377 (1.7677) Prec@1 57.031 (59.511) Prec@5 78.125 (81.364) Epoch: [45][840/10010] Time 0.312 (0.329) Data 0.000 (0.003) Loss 1.6282 (1.7680) Prec@1 58.594 (59.512) Prec@5 83.594 (81.351) Epoch: [45][850/10010] Time 0.337 (0.328) Data 0.000 (0.003) Loss 1.5994 (1.7689) Prec@1 66.406 (59.504) Prec@5 83.594 (81.348) Epoch: [45][860/10010] Time 0.323 (0.328) Data 0.000 (0.003) Loss 1.5339 (1.7690) Prec@1 63.281 (59.503) Prec@5 87.500 (81.345) Epoch: [45][870/10010] Time 0.336 (0.328) Data 0.000 (0.003) Loss 1.9342 (1.7701) Prec@1 57.031 (59.488) Prec@5 78.125 (81.326) Epoch: [45][880/10010] Time 0.317 (0.328) Data 0.001 (0.003) Loss 1.7277 (1.7708) Prec@1 60.156 (59.477) Prec@5 82.812 (81.313) Epoch: [45][890/10010] Time 0.322 (0.328) Data 0.000 (0.003) Loss 1.5366 (1.7730) Prec@1 66.406 (59.423) Prec@5 83.594 (81.287) Epoch: [45][900/10010] Time 0.338 (0.328) Data 0.001 (0.003) Loss 1.6855 (1.7726) Prec@1 60.938 (59.427) Prec@5 80.469 (81.288) Epoch: [45][910/10010] Time 0.317 (0.328) Data 0.000 (0.003) Loss 1.8435 (1.7724) Prec@1 58.594 (59.444) Prec@5 82.031 (81.295) Epoch: [45][920/10010] Time 0.332 (0.328) Data 0.001 (0.003) Loss 1.6421 (1.7720) Prec@1 60.938 (59.455) Prec@5 79.688 (81.287) Epoch: [45][930/10010] Time 0.320 (0.328) Data 0.000 (0.003) Loss 1.8735 (1.7718) Prec@1 56.250 (59.460) Prec@5 79.688 (81.293) Epoch: [45][940/10010] Time 0.320 (0.328) Data 0.001 (0.003) Loss 1.7462 (1.7715) Prec@1 63.281 (59.479) Prec@5 81.250 (81.298) Epoch: [45][950/10010] Time 0.324 (0.328) Data 0.000 (0.003) Loss 1.8224 (1.7715) Prec@1 58.594 (59.479) Prec@5 82.812 (81.304) Epoch: [45][960/10010] Time 0.322 (0.328) Data 0.000 (0.003) Loss 1.5547 (1.7716) Prec@1 62.500 (59.484) Prec@5 84.375 (81.296) Epoch: [45][970/10010] Time 0.318 (0.328) Data 0.000 (0.003) Loss 1.9240 (1.7718) Prec@1 53.906 (59.481) Prec@5 75.000 (81.304) Epoch: [45][980/10010] Time 0.326 (0.328) Data 0.001 (0.003) Loss 1.7779 (1.7712) Prec@1 59.375 (59.490) Prec@5 82.812 (81.321) Epoch: [45][990/10010] Time 0.319 (0.328) Data 0.001 (0.003) Loss 1.7808 (1.7719) Prec@1 58.594 (59.470) Prec@5 82.812 (81.315) Epoch: [45][1000/10010] Time 0.326 (0.328) Data 0.001 (0.003) Loss 1.7005 (1.7719) Prec@1 58.594 (59.481) Prec@5 83.594 (81.306) Epoch: [45][1010/10010] Time 0.328 (0.328) Data 0.001 (0.003) Loss 1.7302 (1.7714) Prec@1 57.031 (59.484) Prec@5 79.688 (81.326) Epoch: [45][1020/10010] Time 0.313 (0.328) Data 0.001 (0.003) Loss 1.9120 (1.7715) Prec@1 51.562 (59.486) Prec@5 79.688 (81.318) Epoch: [45][1030/10010] Time 0.340 (0.328) Data 0.000 (0.003) Loss 1.6486 (1.7719) Prec@1 61.719 (59.486) Prec@5 84.375 (81.308) Epoch: [45][1040/10010] Time 0.324 (0.328) Data 0.001 (0.003) Loss 1.6291 (1.7717) Prec@1 62.500 (59.496) Prec@5 84.375 (81.312) Epoch: [45][1050/10010] Time 0.338 (0.328) Data 0.000 (0.003) Loss 1.8241 (1.7720) Prec@1 58.594 (59.492) Prec@5 80.469 (81.304) Epoch: [45][1060/10010] Time 0.314 (0.328) Data 0.000 (0.003) Loss 1.7959 (1.7720) Prec@1 57.812 (59.491) Prec@5 81.250 (81.303) Epoch: [45][1070/10010] Time 0.324 (0.328) Data 0.001 (0.003) Loss 1.8886 (1.7725) Prec@1 55.469 (59.487) Prec@5 78.906 (81.294) Epoch: [45][1080/10010] Time 0.338 (0.328) Data 0.001 (0.003) Loss 2.0618 (1.7735) Prec@1 52.344 (59.460) Prec@5 75.781 (81.276) Epoch: [45][1090/10010] Time 0.331 (0.328) Data 0.000 (0.003) Loss 1.7063 (1.7740) Prec@1 59.375 (59.450) Prec@5 81.250 (81.264) Epoch: [45][1100/10010] Time 0.319 (0.328) Data 0.001 (0.003) Loss 1.9148 (1.7743) Prec@1 58.594 (59.444) Prec@5 79.688 (81.266) Epoch: [45][1110/10010] Time 0.321 (0.328) Data 0.000 (0.003) Loss 1.7244 (1.7742) Prec@1 66.406 (59.452) Prec@5 77.344 (81.265) Epoch: [45][1120/10010] Time 0.320 (0.328) Data 0.001 (0.003) Loss 1.6869 (1.7738) Prec@1 58.594 (59.479) Prec@5 87.500 (81.276) Epoch: [45][1130/10010] Time 0.327 (0.328) Data 0.000 (0.003) Loss 1.7112 (1.7735) Prec@1 65.625 (59.486) Prec@5 81.250 (81.278) Epoch: [45][1140/10010] Time 0.327 (0.328) Data 0.000 (0.003) Loss 1.7574 (1.7737) Prec@1 60.156 (59.489) Prec@5 79.688 (81.266) Epoch: [45][1150/10010] Time 0.325 (0.328) Data 0.000 (0.003) Loss 2.1287 (1.7734) Prec@1 47.656 (59.505) Prec@5 73.438 (81.279) Epoch: [45][1160/10010] Time 0.330 (0.328) Data 0.000 (0.003) Loss 1.6476 (1.7730) Prec@1 60.938 (59.508) Prec@5 85.156 (81.290) Epoch: [45][1170/10010] Time 0.313 (0.328) Data 0.000 (0.003) Loss 1.5021 (1.7729) Prec@1 71.094 (59.510) Prec@5 83.594 (81.295) Epoch: [45][1180/10010] Time 0.338 (0.328) Data 0.000 (0.003) Loss 1.5617 (1.7727) Prec@1 61.719 (59.510) Prec@5 85.156 (81.298) Epoch: [45][1190/10010] Time 0.334 (0.328) Data 0.001 (0.003) Loss 2.0061 (1.7736) Prec@1 56.250 (59.498) Prec@5 75.000 (81.277) Epoch: [45][1200/10010] Time 0.318 (0.328) Data 0.000 (0.003) Loss 1.7183 (1.7735) Prec@1 60.938 (59.499) Prec@5 83.594 (81.275) Epoch: [45][1210/10010] Time 0.317 (0.328) Data 0.001 (0.003) Loss 1.7739 (1.7739) Prec@1 61.719 (59.490) Prec@5 79.688 (81.273) Epoch: [45][1220/10010] Time 0.330 (0.328) Data 0.000 (0.003) Loss 1.5103 (1.7733) Prec@1 66.406 (59.505) Prec@5 85.156 (81.272) Epoch: [45][1230/10010] Time 0.319 (0.328) Data 0.001 (0.003) Loss 1.7300 (1.7733) Prec@1 63.281 (59.504) Prec@5 81.250 (81.270) Epoch: [45][1240/10010] Time 0.316 (0.328) Data 0.001 (0.002) Loss 1.4421 (1.7727) Prec@1 60.938 (59.519) Prec@5 86.719 (81.279) Epoch: [45][1250/10010] Time 0.314 (0.328) Data 0.000 (0.002) Loss 1.4080 (1.7735) Prec@1 67.188 (59.513) Prec@5 86.719 (81.267) Epoch: [45][1260/10010] Time 0.339 (0.328) Data 0.000 (0.002) Loss 1.6558 (1.7729) Prec@1 64.844 (59.531) Prec@5 82.812 (81.272) Epoch: [45][1270/10010] Time 0.332 (0.328) Data 0.000 (0.002) Loss 1.7474 (1.7726) Prec@1 60.156 (59.543) Prec@5 82.031 (81.277) Epoch: [45][1280/10010] Time 0.328 (0.328) Data 0.000 (0.002) Loss 1.8296 (1.7737) Prec@1 60.156 (59.524) Prec@5 78.906 (81.266) Epoch: [45][1290/10010] Time 0.328 (0.328) Data 0.001 (0.002) Loss 1.8044 (1.7732) Prec@1 64.844 (59.536) Prec@5 82.031 (81.278) Epoch: [45][1300/10010] Time 0.318 (0.328) Data 0.000 (0.002) Loss 1.6655 (1.7737) Prec@1 60.938 (59.531) Prec@5 85.938 (81.269) Epoch: [45][1310/10010] Time 0.321 (0.328) Data 0.001 (0.002) Loss 1.8060 (1.7736) Prec@1 54.688 (59.535) Prec@5 78.125 (81.272) Epoch: [45][1320/10010] Time 0.318 (0.328) Data 0.000 (0.002) Loss 2.0064 (1.7746) Prec@1 53.906 (59.514) Prec@5 74.219 (81.257) Epoch: [45][1330/10010] Time 0.324 (0.328) Data 0.001 (0.002) Loss 1.9061 (1.7754) Prec@1 56.250 (59.505) Prec@5 82.031 (81.255) Epoch: [45][1340/10010] Time 0.338 (0.328) Data 0.000 (0.002) Loss 1.7105 (1.7748) Prec@1 57.812 (59.518) Prec@5 78.906 (81.264) Epoch: [45][1350/10010] Time 0.338 (0.328) Data 0.001 (0.002) Loss 1.9218 (1.7751) Prec@1 56.250 (59.517) Prec@5 78.906 (81.266) Epoch: [45][1360/10010] Time 0.318 (0.328) Data 0.001 (0.002) Loss 1.7097 (1.7748) Prec@1 60.156 (59.536) Prec@5 81.250 (81.267) Epoch: [45][1370/10010] Time 0.334 (0.328) Data 0.000 (0.002) Loss 1.5475 (1.7749) Prec@1 64.062 (59.540) Prec@5 86.719 (81.270) Epoch: [45][1380/10010] Time 0.319 (0.328) Data 0.000 (0.002) Loss 1.8653 (1.7746) Prec@1 56.250 (59.548) Prec@5 81.250 (81.281) Epoch: [45][1390/10010] Time 0.312 (0.328) Data 0.001 (0.002) Loss 1.7766 (1.7750) Prec@1 59.375 (59.538) Prec@5 78.906 (81.278) Epoch: [45][1400/10010] Time 0.322 (0.328) Data 0.000 (0.002) Loss 1.8796 (1.7747) Prec@1 57.812 (59.542) Prec@5 82.812 (81.283) Epoch: [45][1410/10010] Time 0.338 (0.328) Data 0.000 (0.002) Loss 1.7114 (1.7746) Prec@1 57.812 (59.547) Prec@5 84.375 (81.288) Epoch: [45][1420/10010] Time 0.331 (0.328) Data 0.001 (0.002) Loss 1.8077 (1.7746) Prec@1 59.375 (59.550) Prec@5 78.906 (81.287) Epoch: [45][1430/10010] Time 0.326 (0.328) Data 0.001 (0.002) Loss 1.8712 (1.7752) Prec@1 53.906 (59.530) Prec@5 76.562 (81.285) Epoch: [45][1440/10010] Time 0.319 (0.328) Data 0.001 (0.002) Loss 2.0359 (1.7756) Prec@1 55.469 (59.519) Prec@5 82.031 (81.285) Epoch: [45][1450/10010] Time 0.336 (0.328) Data 0.000 (0.002) Loss 1.6722 (1.7762) Prec@1 60.938 (59.507) Prec@5 85.156 (81.280) Epoch: [45][1460/10010] Time 0.332 (0.328) Data 0.001 (0.002) Loss 1.5158 (1.7769) Prec@1 64.062 (59.490) Prec@5 83.594 (81.272) Epoch: [45][1470/10010] Time 0.321 (0.327) Data 0.000 (0.002) Loss 1.9509 (1.7773) Prec@1 51.562 (59.497) Prec@5 82.031 (81.273) Epoch: [45][1480/10010] Time 0.332 (0.327) Data 0.001 (0.002) Loss 1.6815 (1.7773) Prec@1 57.812 (59.495) Prec@5 83.594 (81.276) Epoch: [45][1490/10010] Time 0.336 (0.327) Data 0.000 (0.002) Loss 1.7163 (1.7773) Prec@1 62.500 (59.493) Prec@5 81.250 (81.274) Epoch: [45][1500/10010] Time 0.316 (0.327) Data 0.000 (0.002) Loss 1.5564 (1.7778) Prec@1 62.500 (59.478) Prec@5 86.719 (81.266) Epoch: [45][1510/10010] Time 0.318 (0.327) Data 0.001 (0.002) Loss 1.8775 (1.7779) Prec@1 59.375 (59.475) Prec@5 83.594 (81.258) Epoch: [45][1520/10010] Time 0.322 (0.327) Data 0.001 (0.002) Loss 1.7230 (1.7777) Prec@1 58.594 (59.471) Prec@5 82.031 (81.264) Epoch: [45][1530/10010] Time 0.324 (0.327) Data 0.001 (0.002) Loss 1.7396 (1.7778) Prec@1 59.375 (59.474) Prec@5 80.469 (81.259) Epoch: [45][1540/10010] Time 0.319 (0.327) Data 0.000 (0.002) Loss 1.6115 (1.7777) Prec@1 61.719 (59.479) Prec@5 85.156 (81.254) Epoch: [45][1550/10010] Time 0.326 (0.327) Data 0.000 (0.002) Loss 1.5130 (1.7767) Prec@1 63.281 (59.490) Prec@5 85.156 (81.268) Epoch: [45][1560/10010] Time 0.325 (0.327) Data 0.001 (0.002) Loss 1.5349 (1.7770) Prec@1 64.844 (59.485) Prec@5 85.938 (81.269) Epoch: [45][1570/10010] Time 0.327 (0.327) Data 0.000 (0.002) Loss 1.8442 (1.7769) Prec@1 57.031 (59.494) Prec@5 78.125 (81.266) Epoch: [45][1580/10010] Time 0.327 (0.327) Data 0.001 (0.002) Loss 1.4762 (1.7764) Prec@1 67.969 (59.500) Prec@5 84.375 (81.269) Epoch: [45][1590/10010] Time 0.325 (0.327) Data 0.001 (0.002) Loss 1.7579 (1.7770) Prec@1 59.375 (59.492) Prec@5 82.031 (81.261) Epoch: [45][1600/10010] Time 0.328 (0.327) Data 0.001 (0.002) Loss 1.7055 (1.7770) Prec@1 59.375 (59.480) Prec@5 82.031 (81.257) Epoch: [45][1610/10010] Time 0.330 (0.327) Data 0.001 (0.002) Loss 1.5648 (1.7768) Prec@1 65.625 (59.488) Prec@5 85.156 (81.253) /data/vision/torralba/deepscene/lib/anaconda2/lib/python2.7/site-packages/PIL/TiffImagePlugin.py:692: UserWarning: Possibly corrupt EXIF data. Expecting to read 2555904 bytes but only got 0. Skipping tag 0 "Skipping tag %s" % (size, len(data), tag)) Epoch: [45][1620/10010] Time 0.324 (0.327) Data 0.001 (0.002) Loss 1.9279 (1.7774) Prec@1 58.594 (59.485) Prec@5 79.688 (81.245) Epoch: [45][1630/10010] Time 0.330 (0.327) Data 0.001 (0.002) Loss 1.8636 (1.7778) Prec@1 59.375 (59.484) Prec@5 79.688 (81.241) Epoch: [45][1640/10010] Time 0.324 (0.327) Data 0.001 (0.002) Loss 1.6674 (1.7770) Prec@1 62.500 (59.498) Prec@5 81.250 (81.250) Epoch: [45][1650/10010] Time 0.332 (0.327) Data 0.001 (0.002) Loss 1.6627 (1.7769) Prec@1 61.719 (59.499) Prec@5 84.375 (81.254) Epoch: [45][1660/10010] Time 0.335 (0.327) Data 0.000 (0.002) Loss 2.0514 (1.7772) Prec@1 57.031 (59.497) Prec@5 78.906 (81.247) Epoch: [45][1670/10010] Time 0.320 (0.327) Data 0.001 (0.002) Loss 2.0404 (1.7774) Prec@1 51.562 (59.488) Prec@5 77.344 (81.241) Epoch: [45][1680/10010] Time 0.325 (0.327) Data 0.001 (0.002) Loss 1.8529 (1.7775) Prec@1 56.250 (59.497) Prec@5 83.594 (81.244) Epoch: [45][1690/10010] Time 0.318 (0.327) Data 0.000 (0.002) Loss 1.9206 (1.7782) Prec@1 53.906 (59.489) Prec@5 77.344 (81.232) Epoch: [45][1700/10010] Time 0.332 (0.327) Data 0.000 (0.002) Loss 1.7659 (1.7776) Prec@1 59.375 (59.506) Prec@5 84.375 (81.240) Epoch: [45][1710/10010] Time 0.325 (0.327) Data 0.001 (0.002) Loss 1.8471 (1.7780) Prec@1 58.594 (59.499) Prec@5 80.469 (81.237) Epoch: [45][1720/10010] Time 0.327 (0.327) Data 0.001 (0.002) Loss 1.7348 (1.7775) Prec@1 66.406 (59.508) Prec@5 79.688 (81.244) Epoch: [45][1730/10010] Time 0.327 (0.327) Data 0.000 (0.002) Loss 1.7887 (1.7778) Prec@1 57.812 (59.496) Prec@5 85.156 (81.242) Epoch: [45][1740/10010] Time 0.331 (0.327) Data 0.000 (0.002) Loss 1.9103 (1.7773) Prec@1 53.125 (59.492) Prec@5 77.344 (81.250) Epoch: [45][1750/10010] Time 0.327 (0.327) Data 0.000 (0.002) Loss 1.8993 (1.7771) Prec@1 54.688 (59.488) Prec@5 77.344 (81.248) Epoch: [45][1760/10010] Time 0.336 (0.327) Data 0.001 (0.002) Loss 1.8711 (1.7774) Prec@1 58.594 (59.487) Prec@5 82.031 (81.245) Epoch: [45][1770/10010] Time 0.311 (0.327) Data 0.001 (0.002) Loss 1.8505 (1.7772) Prec@1 57.031 (59.496) Prec@5 80.469 (81.252) Epoch: [45][1780/10010] Time 0.318 (0.327) Data 0.001 (0.002) Loss 1.8471 (1.7772) Prec@1 59.375 (59.502) Prec@5 82.812 (81.251) Epoch: [45][1790/10010] Time 0.335 (0.327) Data 0.001 (0.002) Loss 1.7814 (1.7768) Prec@1 55.469 (59.508) Prec@5 86.719 (81.263) Epoch: [45][1800/10010] Time 0.313 (0.327) Data 0.000 (0.002) Loss 1.9058 (1.7772) Prec@1 59.375 (59.504) Prec@5 75.781 (81.254) Epoch: [45][1810/10010] Time 0.324 (0.327) Data 0.001 (0.002) Loss 1.7774 (1.7770) Prec@1 57.031 (59.510) Prec@5 84.375 (81.257) /data/vision/torralba/deepscene/lib/anaconda2/lib/python2.7/site-packages/PIL/TiffImagePlugin.py:692: UserWarning: Possibly corrupt EXIF data. Expecting to read 2555904 bytes but only got 0. Skipping tag 0 "Skipping tag %s" % (size, len(data), tag)) Epoch: [45][1820/10010] Time 0.330 (0.327) Data 0.001 (0.002) Loss 1.5850 (1.7765) Prec@1 62.500 (59.521) Prec@5 82.812 (81.261) Epoch: [45][1830/10010] Time 0.332 (0.327) Data 0.001 (0.002) Loss 1.5721 (1.7763) Prec@1 63.281 (59.520) Prec@5 82.031 (81.261) Epoch: [45][1840/10010] Time 0.319 (0.327) Data 0.001 (0.002) Loss 1.8557 (1.7763) Prec@1 57.031 (59.519) Prec@5 78.906 (81.264) Epoch: [45][1850/10010] Time 0.333 (0.327) Data 0.000 (0.002) Loss 1.7434 (1.7769) Prec@1 57.031 (59.510) Prec@5 78.906 (81.259) Epoch: [45][1860/10010] Time 0.329 (0.327) Data 0.000 (0.002) Loss 1.5504 (1.7766) Prec@1 61.719 (59.511) Prec@5 85.156 (81.266) Epoch: [45][1870/10010] Time 0.318 (0.327) Data 0.001 (0.002) Loss 2.0601 (1.7769) Prec@1 51.562 (59.501) Prec@5 78.125 (81.261) Epoch: [45][1880/10010] Time 0.332 (0.327) Data 0.001 (0.002) Loss 1.8640 (1.7769) Prec@1 59.375 (59.496) Prec@5 80.469 (81.264) Epoch: [45][1890/10010] Time 0.315 (0.327) Data 0.001 (0.002) Loss 1.7961 (1.7769) Prec@1 60.156 (59.496) Prec@5 83.594 (81.261) Epoch: [45][1900/10010] Time 0.322 (0.327) Data 0.001 (0.002) Loss 1.7754 (1.7768) Prec@1 57.031 (59.495) Prec@5 79.688 (81.258) Epoch: [45][1910/10010] Time 0.314 (0.327) Data 0.001 (0.002) Loss 1.7133 (1.7771) Prec@1 59.375 (59.491) Prec@5 82.812 (81.252) Epoch: [45][1920/10010] Time 0.324 (0.327) Data 0.001 (0.002) Loss 1.8046 (1.7774) Prec@1 57.812 (59.478) Prec@5 78.906 (81.250) Epoch: [45][1930/10010] Time 0.314 (0.327) Data 0.001 (0.002) Loss 1.6427 (1.7771) Prec@1 63.281 (59.483) Prec@5 82.031 (81.253) Epoch: [45][1940/10010] Time 0.319 (0.327) Data 0.001 (0.002) Loss 1.8697 (1.7770) Prec@1 57.812 (59.486) Prec@5 82.031 (81.254) Epoch: [45][1950/10010] Time 0.319 (0.327) Data 0.000 (0.002) Loss 1.7759 (1.7773) Prec@1 60.938 (59.486) Prec@5 82.812 (81.249) Epoch: [45][1960/10010] Time 0.319 (0.327) Data 0.001 (0.002) Loss 1.9412 (1.7773) Prec@1 57.031 (59.496) Prec@5 78.125 (81.254) Epoch: [45][1970/10010] Time 0.334 (0.327) Data 0.001 (0.002) Loss 1.7711 (1.7773) Prec@1 58.594 (59.494) Prec@5 82.031 (81.261) Epoch: [45][1980/10010] Time 0.318 (0.327) Data 0.000 (0.002) Loss 1.9915 (1.7771) Prec@1 57.031 (59.503) Prec@5 76.562 (81.263) Epoch: [45][1990/10010] Time 0.332 (0.327) Data 0.000 (0.002) Loss 1.7015 (1.7769) Prec@1 60.938 (59.506) Prec@5 83.594 (81.272) Epoch: [45][2000/10010] Time 0.328 (0.327) Data 0.000 (0.002) Loss 1.9174 (1.7766) Prec@1 64.062 (59.514) Prec@5 79.688 (81.270) Epoch: [45][2010/10010] Time 0.314 (0.327) Data 0.001 (0.002) Loss 1.6829 (1.7765) Prec@1 63.281 (59.520) Prec@5 80.469 (81.273) Epoch: [45][2020/10010] Time 0.318 (0.327) Data 0.001 (0.002) Loss 1.8856 (1.7768) Prec@1 57.031 (59.512) Prec@5 76.562 (81.266) Epoch: [45][2030/10010] Time 0.322 (0.327) Data 0.000 (0.002) Loss 1.5352 (1.7765) Prec@1 60.938 (59.512) Prec@5 85.938 (81.275) Epoch: [45][2040/10010] Time 0.316 (0.327) Data 0.000 (0.002) Loss 1.8327 (1.7768) Prec@1 60.156 (59.507) Prec@5 82.812 (81.272) Epoch: [45][2050/10010] Time 0.320 (0.327) Data 0.000 (0.002) Loss 1.8445 (1.7769) Prec@1 56.250 (59.501) Prec@5 76.562 (81.270) Epoch: [45][2060/10010] Time 0.314 (0.327) Data 0.001 (0.002) Loss 2.0299 (1.7769) Prec@1 51.562 (59.496) Prec@5 78.125 (81.275) Epoch: [45][2070/10010] Time 0.318 (0.327) Data 0.001 (0.002) Loss 1.7395 (1.7772) Prec@1 63.281 (59.492) Prec@5 80.469 (81.267) Epoch: [45][2080/10010] Time 0.338 (0.327) Data 0.000 (0.002) Loss 1.6611 (1.7769) Prec@1 63.281 (59.496) Prec@5 85.156 (81.268) Epoch: [45][2090/10010] Time 0.338 (0.327) Data 0.001 (0.002) Loss 1.7213 (1.7766) Prec@1 55.469 (59.502) Prec@5 79.688 (81.274) Epoch: [45][2100/10010] Time 0.338 (0.327) Data 0.000 (0.002) Loss 1.7256 (1.7766) Prec@1 62.500 (59.506) Prec@5 82.031 (81.273) Epoch: [45][2110/10010] Time 0.323 (0.327) Data 0.001 (0.002) Loss 1.5314 (1.7766) Prec@1 62.500 (59.507) Prec@5 86.719 (81.274) Epoch: [45][2120/10010] Time 0.313 (0.327) Data 0.000 (0.002) Loss 1.6845 (1.7766) Prec@1 60.156 (59.508) Prec@5 77.344 (81.268) Epoch: [45][2130/10010] Time 0.333 (0.327) Data 0.001 (0.002) Loss 1.7762 (1.7769) Prec@1 61.719 (59.500) Prec@5 81.250 (81.266) Epoch: [45][2140/10010] Time 0.324 (0.327) Data 0.001 (0.002) Loss 1.8493 (1.7770) Prec@1 55.469 (59.495) Prec@5 78.906 (81.263) Epoch: [45][2150/10010] Time 0.334 (0.327) Data 0.000 (0.002) Loss 1.9240 (1.7770) Prec@1 57.812 (59.495) Prec@5 78.125 (81.260) Epoch: [45][2160/10010] Time 0.339 (0.327) Data 0.000 (0.002) Loss 1.8514 (1.7777) Prec@1 57.812 (59.479) Prec@5 82.031 (81.254) Epoch: [45][2170/10010] Time 0.327 (0.327) Data 0.000 (0.002) Loss 1.8739 (1.7777) Prec@1 57.031 (59.485) Prec@5 80.469 (81.250) Epoch: [45][2180/10010] Time 0.331 (0.327) Data 0.000 (0.002) Loss 1.6122 (1.7776) Prec@1 57.812 (59.487) Prec@5 83.594 (81.249) Epoch: [45][2190/10010] Time 0.335 (0.327) Data 0.000 (0.002) Loss 2.2616 (1.7780) Prec@1 59.375 (59.485) Prec@5 73.438 (81.241) Epoch: [45][2200/10010] Time 0.329 (0.327) Data 0.000 (0.002) Loss 1.7208 (1.7775) Prec@1 60.938 (59.499) Prec@5 85.938 (81.250) Epoch: [45][2210/10010] Time 0.316 (0.327) Data 0.000 (0.002) Loss 1.8977 (1.7773) Prec@1 50.781 (59.496) Prec@5 80.469 (81.251) Epoch: [45][2220/10010] Time 0.318 (0.327) Data 0.001 (0.002) Loss 1.5142 (1.7767) Prec@1 62.500 (59.506) Prec@5 85.156 (81.263) Epoch: [45][2230/10010] Time 0.323 (0.327) Data 0.001 (0.002) Loss 1.9051 (1.7768) Prec@1 58.594 (59.511) Prec@5 80.469 (81.259) Epoch: [45][2240/10010] Time 0.336 (0.327) Data 0.000 (0.002) Loss 1.9271 (1.7766) Prec@1 53.125 (59.511) Prec@5 77.344 (81.259) Epoch: [45][2250/10010] Time 0.333 (0.327) Data 0.001 (0.002) Loss 1.5948 (1.7766) Prec@1 61.719 (59.517) Prec@5 82.812 (81.259) Epoch: [45][2260/10010] Time 0.313 (0.327) Data 0.001 (0.002) Loss 1.6931 (1.7763) Prec@1 62.500 (59.523) Prec@5 84.375 (81.263) Epoch: [45][2270/10010] Time 0.320 (0.327) Data 0.001 (0.002) Loss 1.7351 (1.7767) Prec@1 54.688 (59.516) Prec@5 80.469 (81.255) Epoch: [45][2280/10010] Time 0.337 (0.327) Data 0.000 (0.002) Loss 1.7989 (1.7765) Prec@1 61.719 (59.519) Prec@5 81.250 (81.259) Epoch: [45][2290/10010] Time 0.325 (0.327) Data 0.000 (0.002) Loss 1.7418 (1.7766) Prec@1 60.938 (59.515) Prec@5 82.031 (81.256) Epoch: [45][2300/10010] Time 0.319 (0.327) Data 0.000 (0.002) Loss 2.1100 (1.7767) Prec@1 55.469 (59.516) Prec@5 77.344 (81.251) Epoch: [45][2310/10010] Time 0.340 (0.327) Data 0.001 (0.002) Loss 1.5903 (1.7769) Prec@1 62.500 (59.511) Prec@5 85.938 (81.252) Epoch: [45][2320/10010] Time 0.326 (0.327) Data 0.001 (0.002) Loss 1.6791 (1.7768) Prec@1 60.938 (59.515) Prec@5 78.906 (81.252) Epoch: [45][2330/10010] Time 0.326 (0.327) Data 0.001 (0.002) Loss 1.8700 (1.7770) Prec@1 59.375 (59.516) Prec@5 82.812 (81.252) Epoch: [45][2340/10010] Time 0.336 (0.327) Data 0.000 (0.002) Loss 1.4708 (1.7770) Prec@1 64.062 (59.512) Prec@5 86.719 (81.251) Epoch: [45][2350/10010] Time 0.317 (0.327) Data 0.001 (0.002) Loss 1.9086 (1.7771) Prec@1 59.375 (59.511) Prec@5 78.906 (81.254) Epoch: [45][2360/10010] Time 0.319 (0.327) Data 0.001 (0.002) Loss 1.9833 (1.7775) Prec@1 57.031 (59.503) Prec@5 75.781 (81.248) Epoch: [45][2370/10010] Time 0.327 (0.327) Data 0.001 (0.002) Loss 1.5641 (1.7772) Prec@1 63.281 (59.502) Prec@5 84.375 (81.255) Epoch: [45][2380/10010] Time 0.337 (0.327) Data 0.000 (0.002) Loss 1.5112 (1.7770) Prec@1 64.844 (59.503) Prec@5 89.844 (81.257) Epoch: [45][2390/10010] Time 0.337 (0.327) Data 0.000 (0.002) Loss 1.7058 (1.7769) Prec@1 61.719 (59.507) Prec@5 85.938 (81.262) Epoch: [45][2400/10010] Time 0.317 (0.327) Data 0.001 (0.002) Loss 1.4956 (1.7767) Prec@1 62.500 (59.509) Prec@5 86.719 (81.267) Epoch: [45][2410/10010] Time 0.336 (0.327) Data 0.000 (0.002) Loss 1.7283 (1.7767) Prec@1 61.719 (59.516) Prec@5 81.250 (81.264) Epoch: [45][2420/10010] Time 0.329 (0.327) Data 0.000 (0.002) Loss 1.8179 (1.7767) Prec@1 56.250 (59.519) Prec@5 81.250 (81.262) Epoch: [45][2430/10010] Time 0.336 (0.327) Data 0.001 (0.002) Loss 1.8516 (1.7766) Prec@1 59.375 (59.523) Prec@5 79.688 (81.261) Epoch: [45][2440/10010] Time 0.331 (0.327) Data 0.001 (0.002) Loss 2.0769 (1.7768) Prec@1 56.250 (59.524) Prec@5 75.000 (81.255) Epoch: [45][2450/10010] Time 0.319 (0.327) Data 0.001 (0.002) Loss 1.8953 (1.7771) Prec@1 55.469 (59.519) Prec@5 79.688 (81.254) Epoch: [45][2460/10010] Time 0.316 (0.327) Data 0.001 (0.002) Loss 1.8644 (1.7775) Prec@1 62.500 (59.514) Prec@5 78.125 (81.244) Epoch: [45][2470/10010] Time 0.341 (0.327) Data 0.000 (0.002) Loss 1.7935 (1.7777) Prec@1 60.156 (59.510) Prec@5 82.031 (81.241) Epoch: [45][2480/10010] Time 0.320 (0.327) Data 0.000 (0.002) Loss 1.7723 (1.7776) Prec@1 56.250 (59.511) Prec@5 83.594 (81.241) Epoch: [45][2490/10010] Time 0.341 (0.327) Data 0.001 (0.002) Loss 1.6755 (1.7775) Prec@1 64.062 (59.516) Prec@5 81.250 (81.240) Epoch: [45][2500/10010] Time 0.312 (0.327) Data 0.001 (0.002) Loss 1.9140 (1.7780) Prec@1 55.469 (59.507) Prec@5 78.906 (81.230) Epoch: [45][2510/10010] Time 0.321 (0.327) Data 0.001 (0.002) Loss 2.1952 (1.7785) Prec@1 49.219 (59.493) Prec@5 75.000 (81.223) Epoch: [45][2520/10010] Time 0.325 (0.327) Data 0.001 (0.002) Loss 1.7282 (1.7786) Prec@1 56.250 (59.494) Prec@5 82.812 (81.222) Epoch: [45][2530/10010] Time 0.333 (0.327) Data 0.000 (0.002) Loss 1.9672 (1.7787) Prec@1 59.375 (59.497) Prec@5 79.688 (81.219) Epoch: [45][2540/10010] Time 0.317 (0.327) Data 0.001 (0.002) Loss 1.6511 (1.7788) Prec@1 65.625 (59.497) Prec@5 80.469 (81.212) Epoch: [45][2550/10010] Time 0.326 (0.327) Data 0.001 (0.002) Loss 2.0869 (1.7789) Prec@1 52.344 (59.495) Prec@5 79.688 (81.217) Epoch: [45][2560/10010] Time 0.317 (0.327) Data 0.000 (0.002) Loss 1.5790 (1.7787) Prec@1 64.062 (59.496) Prec@5 82.031 (81.222) Epoch: [45][2570/10010] Time 0.311 (0.327) Data 0.001 (0.002) Loss 1.6677 (1.7786) Prec@1 64.844 (59.495) Prec@5 79.688 (81.221) Epoch: [45][2580/10010] Time 0.334 (0.327) Data 0.001 (0.002) Loss 1.8834 (1.7787) Prec@1 65.625 (59.497) Prec@5 79.688 (81.216) Epoch: [45][2590/10010] Time 0.329 (0.327) Data 0.001 (0.002) Loss 2.1669 (1.7788) Prec@1 48.438 (59.502) Prec@5 77.344 (81.220) Epoch: [45][2600/10010] Time 0.344 (0.327) Data 0.000 (0.002) Loss 1.8414 (1.7788) Prec@1 55.469 (59.500) Prec@5 81.250 (81.221) Epoch: [45][2610/10010] Time 0.322 (0.327) Data 0.001 (0.002) Loss 2.1843 (1.7792) Prec@1 50.781 (59.495) Prec@5 72.656 (81.214) Epoch: [45][2620/10010] Time 0.314 (0.327) Data 0.001 (0.002) Loss 1.9013 (1.7789) Prec@1 57.812 (59.498) Prec@5 76.562 (81.219) Epoch: [45][2630/10010] Time 0.330 (0.327) Data 0.001 (0.002) Loss 1.8039 (1.7788) Prec@1 56.250 (59.495) Prec@5 78.906 (81.222) Epoch: [45][2640/10010] Time 0.328 (0.327) Data 0.001 (0.002) Loss 2.0772 (1.7793) Prec@1 53.906 (59.485) Prec@5 78.906 (81.211) Epoch: [45][2650/10010] Time 0.332 (0.327) Data 0.001 (0.001) Loss 1.9365 (1.7792) Prec@1 57.031 (59.493) Prec@5 78.906 (81.213) Epoch: [45][2660/10010] Time 0.329 (0.327) Data 0.001 (0.001) Loss 1.9382 (1.7792) Prec@1 51.562 (59.490) Prec@5 78.125 (81.213) Epoch: [45][2670/10010] Time 0.333 (0.327) Data 0.000 (0.001) Loss 2.1260 (1.7794) Prec@1 52.344 (59.486) Prec@5 75.000 (81.212) Epoch: [45][2680/10010] Time 0.328 (0.327) Data 0.001 (0.001) Loss 1.8113 (1.7791) Prec@1 53.906 (59.489) Prec@5 82.812 (81.220) Epoch: [45][2690/10010] Time 0.333 (0.327) Data 0.000 (0.001) Loss 1.7678 (1.7791) Prec@1 53.906 (59.487) Prec@5 78.906 (81.219) Epoch: [45][2700/10010] Time 0.330 (0.327) Data 0.000 (0.001) Loss 1.7497 (1.7794) Prec@1 58.594 (59.482) Prec@5 83.594 (81.221) Epoch: [45][2710/10010] Time 0.314 (0.327) Data 0.001 (0.001) Loss 1.8060 (1.7794) Prec@1 58.594 (59.478) Prec@5 82.031 (81.221) Epoch: [45][2720/10010] Time 0.317 (0.327) Data 0.001 (0.001) Loss 1.8082 (1.7793) Prec@1 60.938 (59.481) Prec@5 77.344 (81.224) Epoch: [45][2730/10010] Time 0.342 (0.327) Data 0.000 (0.001) Loss 1.5353 (1.7791) Prec@1 68.750 (59.483) Prec@5 83.594 (81.228) Epoch: [45][2740/10010] Time 0.335 (0.327) Data 0.000 (0.001) Loss 1.8807 (1.7793) Prec@1 60.156 (59.486) Prec@5 80.469 (81.225) Epoch: [45][2750/10010] Time 0.318 (0.327) Data 0.001 (0.001) Loss 1.8200 (1.7798) Prec@1 57.031 (59.481) Prec@5 81.250 (81.218) Epoch: [45][2760/10010] Time 0.323 (0.327) Data 0.001 (0.001) Loss 2.2033 (1.7799) Prec@1 51.562 (59.476) Prec@5 74.219 (81.213) Epoch: [45][2770/10010] Time 0.340 (0.327) Data 0.001 (0.001) Loss 1.9139 (1.7797) Prec@1 57.031 (59.471) Prec@5 77.344 (81.214) Epoch: [45][2780/10010] Time 0.339 (0.327) Data 0.000 (0.001) Loss 1.8194 (1.7796) Prec@1 61.719 (59.472) Prec@5 80.469 (81.218) Epoch: [45][2790/10010] Time 0.345 (0.327) Data 0.000 (0.001) Loss 2.4172 (1.7799) Prec@1 49.219 (59.469) Prec@5 72.656 (81.217) Epoch: [45][2800/10010] Time 0.330 (0.327) Data 0.001 (0.001) Loss 1.6118 (1.7800) Prec@1 64.062 (59.466) Prec@5 82.812 (81.217) Epoch: [45][2810/10010] Time 0.336 (0.327) Data 0.001 (0.001) Loss 1.4507 (1.7800) Prec@1 70.312 (59.469) Prec@5 87.500 (81.217) Epoch: [45][2820/10010] Time 0.312 (0.327) Data 0.001 (0.001) Loss 2.0790 (1.7800) Prec@1 58.594 (59.467) Prec@5 79.688 (81.219) Epoch: [45][2830/10010] Time 0.326 (0.327) Data 0.001 (0.001) Loss 1.8807 (1.7801) Prec@1 57.031 (59.466) Prec@5 78.906 (81.214) Epoch: [45][2840/10010] Time 0.314 (0.327) Data 0.001 (0.001) Loss 1.8182 (1.7797) Prec@1 60.938 (59.475) Prec@5 78.906 (81.220) Epoch: [45][2850/10010] Time 0.324 (0.327) Data 0.001 (0.001) Loss 1.7567 (1.7800) Prec@1 55.469 (59.471) Prec@5 79.688 (81.212) Epoch: [45][2860/10010] Time 0.341 (0.327) Data 0.000 (0.001) Loss 1.5533 (1.7801) Prec@1 64.062 (59.470) Prec@5 86.719 (81.208) Epoch: [45][2870/10010] Time 0.319 (0.327) Data 0.001 (0.001) Loss 1.8466 (1.7803) Prec@1 57.812 (59.465) Prec@5 79.688 (81.207) Epoch: [45][2880/10010] Time 0.309 (0.327) Data 0.001 (0.001) Loss 1.8845 (1.7802) Prec@1 52.344 (59.466) Prec@5 80.469 (81.207) Epoch: [45][2890/10010] Time 0.339 (0.327) Data 0.001 (0.001) Loss 1.7094 (1.7803) Prec@1 60.938 (59.464) Prec@5 78.906 (81.204) Epoch: [45][2900/10010] Time 0.324 (0.327) Data 0.000 (0.001) Loss 1.7276 (1.7802) Prec@1 55.469 (59.459) Prec@5 80.469 (81.206) Epoch: [45][2910/10010] Time 0.335 (0.327) Data 0.000 (0.001) Loss 2.1146 (1.7807) Prec@1 59.375 (59.456) Prec@5 80.469 (81.202) Epoch: [45][2920/10010] Time 0.320 (0.327) Data 0.001 (0.001) Loss 1.7077 (1.7809) Prec@1 64.062 (59.452) Prec@5 84.375 (81.195) Epoch: [45][2930/10010] Time 0.322 (0.327) Data 0.001 (0.001) Loss 1.8467 (1.7809) Prec@1 58.594 (59.450) Prec@5 76.562 (81.193) Epoch: [45][2940/10010] Time 0.341 (0.327) Data 0.000 (0.001) Loss 1.5138 (1.7809) Prec@1 66.406 (59.445) Prec@5 86.719 (81.191) Epoch: [45][2950/10010] Time 0.339 (0.327) Data 0.001 (0.001) Loss 1.6869 (1.7809) Prec@1 60.938 (59.444) Prec@5 82.031 (81.191) Epoch: [45][2960/10010] Time 0.343 (0.327) Data 0.001 (0.001) Loss 1.9021 (1.7809) Prec@1 60.156 (59.447) Prec@5 78.906 (81.192) Epoch: [45][2970/10010] Time 0.324 (0.327) Data 0.001 (0.001) Loss 1.6820 (1.7809) Prec@1 59.375 (59.443) Prec@5 84.375 (81.193) Epoch: [45][2980/10010] Time 0.324 (0.327) Data 0.000 (0.001) Loss 1.4216 (1.7805) Prec@1 64.062 (59.446) Prec@5 86.719 (81.199) Epoch: [45][2990/10010] Time 0.313 (0.327) Data 0.001 (0.001) Loss 1.9745 (1.7803) Prec@1 51.562 (59.448) Prec@5 78.906 (81.204) Epoch: [45][3000/10010] Time 0.336 (0.327) Data 0.001 (0.001) Loss 1.6622 (1.7805) Prec@1 67.188 (59.445) Prec@5 79.688 (81.198) Epoch: [45][3010/10010] Time 0.323 (0.327) Data 0.000 (0.001) Loss 2.0145 (1.7809) Prec@1 57.812 (59.439) Prec@5 75.000 (81.191) Epoch: [45][3020/10010] Time 0.324 (0.327) Data 0.001 (0.001) Loss 1.7785 (1.7811) Prec@1 60.938 (59.437) Prec@5 82.812 (81.189) Epoch: [45][3030/10010] Time 0.325 (0.327) Data 0.001 (0.001) Loss 1.6435 (1.7811) Prec@1 69.531 (59.442) Prec@5 89.062 (81.195) Epoch: [45][3040/10010] Time 0.311 (0.327) Data 0.001 (0.001) Loss 1.7438 (1.7810) Prec@1 62.500 (59.446) Prec@5 82.812 (81.199) Epoch: [45][3050/10010] Time 0.343 (0.327) Data 0.000 (0.001) Loss 1.6600 (1.7808) Prec@1 65.625 (59.447) Prec@5 81.250 (81.203) Epoch: [45][3060/10010] Time 0.318 (0.327) Data 0.001 (0.001) Loss 1.6340 (1.7805) Prec@1 63.281 (59.456) Prec@5 86.719 (81.209) Epoch: [45][3070/10010] Time 0.334 (0.327) Data 0.001 (0.001) Loss 1.6612 (1.7804) Prec@1 63.281 (59.457) Prec@5 82.031 (81.211) Epoch: [45][3080/10010] Time 0.328 (0.327) Data 0.001 (0.001) Loss 2.1687 (1.7809) Prec@1 53.906 (59.455) Prec@5 73.438 (81.200) Epoch: [45][3090/10010] Time 0.338 (0.327) Data 0.001 (0.001) Loss 1.7977 (1.7810) Prec@1 56.250 (59.450) Prec@5 86.719 (81.201) Epoch: [45][3100/10010] Time 0.315 (0.327) Data 0.001 (0.001) Loss 1.5779 (1.7812) Prec@1 61.719 (59.445) Prec@5 86.719 (81.198) Epoch: [45][3110/10010] Time 0.323 (0.327) Data 0.001 (0.001) Loss 1.8292 (1.7811) Prec@1 55.469 (59.444) Prec@5 85.156 (81.200) Epoch: [45][3120/10010] Time 0.324 (0.327) Data 0.001 (0.001) Loss 1.8515 (1.7812) Prec@1 57.031 (59.440) Prec@5 83.594 (81.200) Epoch: [45][3130/10010] Time 0.316 (0.327) Data 0.000 (0.001) Loss 1.8997 (1.7811) Prec@1 62.500 (59.447) Prec@5 81.250 (81.203) Epoch: [45][3140/10010] Time 0.323 (0.327) Data 0.001 (0.001) Loss 2.0422 (1.7813) Prec@1 55.469 (59.443) Prec@5 79.688 (81.201) Epoch: [45][3150/10010] Time 0.317 (0.327) Data 0.000 (0.001) Loss 1.7676 (1.7816) Prec@1 63.281 (59.435) Prec@5 79.688 (81.193) Epoch: [45][3160/10010] Time 0.325 (0.327) Data 0.001 (0.001) Loss 1.8223 (1.7817) Prec@1 57.031 (59.430) Prec@5 82.031 (81.193) Epoch: [45][3170/10010] Time 0.320 (0.327) Data 0.001 (0.001) Loss 1.7190 (1.7818) Prec@1 57.812 (59.428) Prec@5 79.688 (81.192) Epoch: [45][3180/10010] Time 0.336 (0.327) Data 0.001 (0.001) Loss 1.8475 (1.7819) Prec@1 60.156 (59.423) Prec@5 80.469 (81.188) Epoch: [45][3190/10010] Time 0.316 (0.327) Data 0.000 (0.001) Loss 1.6533 (1.7819) Prec@1 60.938 (59.424) Prec@5 82.031 (81.185) Epoch: [45][3200/10010] Time 0.338 (0.327) Data 0.001 (0.001) Loss 1.6072 (1.7820) Prec@1 61.719 (59.422) Prec@5 82.031 (81.181) Epoch: [45][3210/10010] Time 0.333 (0.327) Data 0.001 (0.001) Loss 1.8439 (1.7820) Prec@1 58.594 (59.418) Prec@5 81.250 (81.181) Epoch: [45][3220/10010] Time 0.334 (0.327) Data 0.001 (0.001) Loss 1.7440 (1.7817) Prec@1 60.156 (59.423) Prec@5 80.469 (81.187) Epoch: [45][3230/10010] Time 0.322 (0.327) Data 0.001 (0.001) Loss 1.6374 (1.7816) Prec@1 57.031 (59.424) Prec@5 88.281 (81.190) Epoch: [45][3240/10010] Time 0.320 (0.327) Data 0.001 (0.001) Loss 1.6432 (1.7817) Prec@1 57.812 (59.420) Prec@5 84.375 (81.192) Epoch: [45][3250/10010] Time 0.326 (0.327) Data 0.000 (0.001) Loss 1.4933 (1.7815) Prec@1 67.969 (59.425) Prec@5 87.500 (81.194) Epoch: [45][3260/10010] Time 0.339 (0.327) Data 0.000 (0.001) Loss 1.7759 (1.7813) Prec@1 57.031 (59.429) Prec@5 79.688 (81.195) Epoch: [45][3270/10010] Time 0.320 (0.327) Data 0.001 (0.001) Loss 1.8994 (1.7817) Prec@1 53.125 (59.415) Prec@5 79.688 (81.187) Epoch: [45][3280/10010] Time 0.323 (0.327) Data 0.000 (0.001) Loss 2.0409 (1.7817) Prec@1 59.375 (59.418) Prec@5 77.344 (81.188) Epoch: [45][3290/10010] Time 0.339 (0.327) Data 0.000 (0.001) Loss 1.6240 (1.7817) Prec@1 59.375 (59.417) Prec@5 84.375 (81.186) Epoch: [45][3300/10010] Time 0.316 (0.327) Data 0.001 (0.001) Loss 2.0068 (1.7817) Prec@1 60.938 (59.414) Prec@5 76.562 (81.187) /data/vision/torralba/deepscene/lib/anaconda2/lib/python2.7/site-packages/PIL/TiffImagePlugin.py:692: UserWarning: Possibly corrupt EXIF data. Expecting to read 2555904 bytes but only got 0. Skipping tag 0 "Skipping tag %s" % (size, len(data), tag)) Epoch: [45][3310/10010] Time 0.318 (0.327) Data 0.001 (0.001) Loss 1.7316 (1.7820) Prec@1 61.719 (59.411) Prec@5 83.594 (81.184) Epoch: [45][3320/10010] Time 0.328 (0.327) Data 0.001 (0.001) Loss 2.0300 (1.7821) Prec@1 57.812 (59.407) Prec@5 75.000 (81.181) Epoch: [45][3330/10010] Time 0.316 (0.327) Data 0.001 (0.001) Loss 1.7030 (1.7819) Prec@1 60.938 (59.414) Prec@5 85.938 (81.185) Epoch: [45][3340/10010] Time 0.319 (0.327) Data 0.000 (0.001) Loss 1.9296 (1.7820) Prec@1 60.938 (59.413) Prec@5 77.344 (81.183) Epoch: [45][3350/10010] Time 0.315 (0.327) Data 0.000 (0.001) Loss 2.0378 (1.7822) Prec@1 53.906 (59.414) Prec@5 79.688 (81.181) Epoch: [45][3360/10010] Time 0.332 (0.327) Data 0.000 (0.001) Loss 1.9056 (1.7822) Prec@1 54.688 (59.410) Prec@5 80.469 (81.182) Epoch: [45][3370/10010] Time 0.335 (0.327) Data 0.000 (0.001) Loss 1.7938 (1.7822) Prec@1 62.500 (59.411) Prec@5 82.031 (81.185) Epoch: [45][3380/10010] Time 0.315 (0.327) Data 0.001 (0.001) Loss 2.0290 (1.7823) Prec@1 52.344 (59.407) Prec@5 79.688 (81.184) Epoch: [45][3390/10010] Time 0.334 (0.327) Data 0.000 (0.001) Loss 1.7655 (1.7824) Prec@1 58.594 (59.403) Prec@5 79.688 (81.186) Epoch: [45][3400/10010] Time 0.337 (0.327) Data 0.001 (0.001) Loss 2.0062 (1.7826) Prec@1 53.125 (59.401) Prec@5 79.688 (81.183) Epoch: [45][3410/10010] Time 0.335 (0.327) Data 0.001 (0.001) Loss 1.9479 (1.7825) Prec@1 57.812 (59.405) Prec@5 80.469 (81.186) Epoch: [45][3420/10010] Time 0.324 (0.327) Data 0.000 (0.001) Loss 1.8312 (1.7824) Prec@1 60.156 (59.407) Prec@5 82.031 (81.189) Epoch: [45][3430/10010] Time 0.317 (0.327) Data 0.001 (0.001) Loss 1.9404 (1.7824) Prec@1 58.594 (59.409) Prec@5 79.688 (81.190) Epoch: [45][3440/10010] Time 0.318 (0.327) Data 0.001 (0.001) Loss 1.8330 (1.7823) Prec@1 53.906 (59.405) Prec@5 74.219 (81.190) Epoch: [45][3450/10010] Time 0.315 (0.327) Data 0.001 (0.001) Loss 1.6465 (1.7822) Prec@1 57.812 (59.405) Prec@5 83.594 (81.194) Epoch: [45][3460/10010] Time 0.320 (0.327) Data 0.001 (0.001) Loss 1.8357 (1.7819) Prec@1 60.938 (59.413) Prec@5 82.812 (81.202) Epoch: [45][3470/10010] Time 0.336 (0.327) Data 0.001 (0.001) Loss 1.9771 (1.7821) Prec@1 63.281 (59.413) Prec@5 76.562 (81.198) Epoch: [45][3480/10010] Time 0.323 (0.327) Data 0.001 (0.001) Loss 1.4681 (1.7817) Prec@1 63.281 (59.422) Prec@5 87.500 (81.206) Epoch: [45][3490/10010] Time 0.317 (0.327) Data 0.001 (0.001) Loss 2.0383 (1.7817) Prec@1 58.594 (59.418) Prec@5 73.438 (81.205) Epoch: [45][3500/10010] Time 0.331 (0.327) Data 0.000 (0.001) Loss 1.9815 (1.7818) Prec@1 55.469 (59.415) Prec@5 77.344 (81.200) Epoch: [45][3510/10010] Time 0.320 (0.327) Data 0.001 (0.001) Loss 2.0066 (1.7820) Prec@1 60.938 (59.414) Prec@5 79.688 (81.197) Epoch: [45][3520/10010] Time 0.324 (0.327) Data 0.001 (0.001) Loss 1.5619 (1.7823) Prec@1 60.938 (59.409) Prec@5 82.031 (81.189) Epoch: [45][3530/10010] Time 0.331 (0.327) Data 0.001 (0.001) Loss 1.5987 (1.7822) Prec@1 60.938 (59.409) Prec@5 83.594 (81.189) Epoch: [45][3540/10010] Time 0.338 (0.327) Data 0.000 (0.001) Loss 1.8154 (1.7822) Prec@1 57.031 (59.414) Prec@5 81.250 (81.190) Epoch: [45][3550/10010] Time 0.330 (0.327) Data 0.000 (0.001) Loss 1.7045 (1.7820) Prec@1 64.844 (59.418) Prec@5 80.469 (81.191) Epoch: [45][3560/10010] Time 0.333 (0.327) Data 0.001 (0.001) Loss 1.8933 (1.7824) Prec@1 60.938 (59.414) Prec@5 82.031 (81.187) Epoch: [45][3570/10010] Time 0.319 (0.327) Data 0.001 (0.001) Loss 1.9540 (1.7828) Prec@1 55.469 (59.412) Prec@5 76.562 (81.181) Epoch: [45][3580/10010] Time 0.343 (0.327) Data 0.001 (0.001) Loss 1.6194 (1.7826) Prec@1 64.844 (59.416) Prec@5 85.938 (81.183) Epoch: [45][3590/10010] Time 0.317 (0.327) Data 0.001 (0.001) Loss 1.7999 (1.7829) Prec@1 64.062 (59.410) Prec@5 80.469 (81.179) Epoch: [45][3600/10010] Time 0.328 (0.327) Data 0.001 (0.001) Loss 1.4127 (1.7827) Prec@1 64.844 (59.408) Prec@5 87.500 (81.181) Epoch: [45][3610/10010] Time 0.315 (0.327) Data 0.001 (0.001) Loss 1.9759 (1.7828) Prec@1 59.375 (59.408) Prec@5 75.000 (81.177) Epoch: [45][3620/10010] Time 0.320 (0.327) Data 0.001 (0.001) Loss 1.4946 (1.7827) Prec@1 65.625 (59.407) Prec@5 81.250 (81.177) Epoch: [45][3630/10010] Time 0.322 (0.327) Data 0.000 (0.001) Loss 1.5808 (1.7824) Prec@1 60.938 (59.415) Prec@5 84.375 (81.184) Epoch: [45][3640/10010] Time 0.337 (0.327) Data 0.001 (0.001) Loss 1.6627 (1.7822) Prec@1 60.938 (59.419) Prec@5 85.156 (81.187) Epoch: [45][3650/10010] Time 0.322 (0.327) Data 0.001 (0.001) Loss 1.9101 (1.7821) Prec@1 57.031 (59.421) Prec@5 78.125 (81.187) Epoch: [45][3660/10010] Time 0.317 (0.327) Data 0.000 (0.001) Loss 1.6781 (1.7823) Prec@1 58.594 (59.418) Prec@5 84.375 (81.184) Epoch: [45][3670/10010] Time 0.316 (0.327) Data 0.000 (0.001) Loss 1.7029 (1.7822) Prec@1 60.156 (59.422) Prec@5 80.469 (81.186) Epoch: [45][3680/10010] Time 0.315 (0.327) Data 0.001 (0.001) Loss 1.7329 (1.7821) Prec@1 60.938 (59.418) Prec@5 80.469 (81.189) Epoch: [45][3690/10010] Time 0.330 (0.327) Data 0.001 (0.001) Loss 1.5557 (1.7822) Prec@1 67.188 (59.415) Prec@5 85.156 (81.187) Epoch: [45][3700/10010] Time 0.320 (0.327) Data 0.001 (0.001) Loss 2.0624 (1.7822) Prec@1 53.125 (59.420) Prec@5 77.344 (81.188) Epoch: [45][3710/10010] Time 0.316 (0.327) Data 0.001 (0.001) Loss 1.7350 (1.7822) Prec@1 60.938 (59.416) Prec@5 82.031 (81.186) Epoch: [45][3720/10010] Time 0.338 (0.327) Data 0.001 (0.001) Loss 1.6802 (1.7823) Prec@1 60.156 (59.413) Prec@5 84.375 (81.189) Epoch: [45][3730/10010] Time 0.337 (0.327) Data 0.001 (0.001) Loss 1.5533 (1.7822) Prec@1 62.500 (59.413) Prec@5 85.156 (81.190) Epoch: [45][3740/10010] Time 0.334 (0.327) Data 0.001 (0.001) Loss 1.7498 (1.7820) Prec@1 62.500 (59.413) Prec@5 83.594 (81.193) Epoch: [45][3750/10010] Time 0.332 (0.327) Data 0.001 (0.001) Loss 2.0249 (1.7821) Prec@1 50.781 (59.408) Prec@5 75.781 (81.190) Epoch: [45][3760/10010] Time 0.333 (0.327) Data 0.000 (0.001) Loss 1.9190 (1.7822) Prec@1 51.562 (59.408) Prec@5 83.594 (81.187) Epoch: [45][3770/10010] Time 0.337 (0.327) Data 0.001 (0.001) Loss 1.9363 (1.7822) Prec@1 55.469 (59.406) Prec@5 80.469 (81.186) Epoch: [45][3780/10010] Time 0.319 (0.327) Data 0.001 (0.001) Loss 1.6528 (1.7823) Prec@1 60.938 (59.405) Prec@5 85.938 (81.184) Epoch: [45][3790/10010] Time 0.331 (0.327) Data 0.001 (0.001) Loss 1.5995 (1.7819) Prec@1 60.938 (59.411) Prec@5 84.375 (81.188) Epoch: [45][3800/10010] Time 0.326 (0.327) Data 0.001 (0.001) Loss 1.8915 (1.7821) Prec@1 53.906 (59.412) Prec@5 79.688 (81.186) Epoch: [45][3810/10010] Time 0.341 (0.327) Data 0.000 (0.001) Loss 1.6473 (1.7822) Prec@1 64.844 (59.409) Prec@5 82.031 (81.187) Epoch: [45][3820/10010] Time 0.324 (0.327) Data 0.001 (0.001) Loss 1.8551 (1.7823) Prec@1 56.250 (59.407) Prec@5 82.031 (81.189) Epoch: [45][3830/10010] Time 0.328 (0.327) Data 0.000 (0.001) Loss 1.8847 (1.7826) Prec@1 58.594 (59.395) Prec@5 77.344 (81.183) Epoch: [45][3840/10010] Time 0.331 (0.327) Data 0.000 (0.001) Loss 2.0186 (1.7828) Prec@1 56.250 (59.395) Prec@5 78.125 (81.179) Epoch: [45][3850/10010] Time 0.317 (0.327) Data 0.000 (0.001) Loss 1.9757 (1.7828) Prec@1 55.469 (59.394) Prec@5 75.000 (81.174) Epoch: [45][3860/10010] Time 0.311 (0.327) Data 0.001 (0.001) Loss 1.9250 (1.7829) Prec@1 56.250 (59.393) Prec@5 77.344 (81.172) Epoch: [45][3870/10010] Time 0.317 (0.327) Data 0.001 (0.001) Loss 1.5474 (1.7829) Prec@1 61.719 (59.393) Prec@5 83.594 (81.174) Epoch: [45][3880/10010] Time 0.339 (0.327) Data 0.000 (0.001) Loss 1.7669 (1.7827) Prec@1 59.375 (59.399) Prec@5 81.250 (81.177) Epoch: [45][3890/10010] Time 0.323 (0.327) Data 0.001 (0.001) Loss 1.7846 (1.7826) Prec@1 57.812 (59.402) Prec@5 81.250 (81.178) Epoch: [45][3900/10010] Time 0.334 (0.327) Data 0.001 (0.001) Loss 1.6931 (1.7823) Prec@1 59.375 (59.408) Prec@5 81.250 (81.181) Epoch: [45][3910/10010] Time 0.325 (0.327) Data 0.001 (0.001) Loss 1.8896 (1.7824) Prec@1 57.812 (59.405) Prec@5 78.906 (81.178) Epoch: [45][3920/10010] Time 0.322 (0.327) Data 0.000 (0.001) Loss 1.8634 (1.7827) Prec@1 56.250 (59.400) Prec@5 76.562 (81.173) Epoch: [45][3930/10010] Time 0.338 (0.327) Data 0.000 (0.001) Loss 1.5888 (1.7828) Prec@1 60.156 (59.396) Prec@5 84.375 (81.171) Epoch: [45][3940/10010] Time 0.335 (0.327) Data 0.001 (0.001) Loss 1.8418 (1.7829) Prec@1 56.250 (59.398) Prec@5 75.000 (81.168) Epoch: [45][3950/10010] Time 0.333 (0.327) Data 0.001 (0.001) Loss 1.8909 (1.7828) Prec@1 57.812 (59.401) Prec@5 78.906 (81.166) Epoch: [45][3960/10010] Time 0.341 (0.327) Data 0.000 (0.001) Loss 1.8528 (1.7828) Prec@1 59.375 (59.399) Prec@5 81.250 (81.165) Epoch: [45][3970/10010] Time 0.311 (0.327) Data 0.000 (0.001) Loss 1.9146 (1.7830) Prec@1 56.250 (59.395) Prec@5 79.688 (81.162) Epoch: [45][3980/10010] Time 0.328 (0.327) Data 0.000 (0.001) Loss 1.9886 (1.7830) Prec@1 49.219 (59.393) Prec@5 78.125 (81.160) Epoch: [45][3990/10010] Time 0.328 (0.327) Data 0.001 (0.001) Loss 2.0546 (1.7831) Prec@1 53.125 (59.392) Prec@5 74.219 (81.158) Epoch: [45][4000/10010] Time 0.328 (0.327) Data 0.001 (0.001) Loss 1.8346 (1.7834) Prec@1 61.719 (59.386) Prec@5 81.250 (81.156) Epoch: [45][4010/10010] Time 0.314 (0.327) Data 0.000 (0.001) Loss 1.8261 (1.7836) Prec@1 59.375 (59.383) Prec@5 81.250 (81.154) Epoch: [45][4020/10010] Time 0.325 (0.327) Data 0.001 (0.001) Loss 1.7587 (1.7835) Prec@1 62.500 (59.385) Prec@5 78.125 (81.151) Epoch: [45][4030/10010] Time 0.333 (0.327) Data 0.001 (0.001) Loss 1.7217 (1.7833) Prec@1 63.281 (59.387) Prec@5 79.688 (81.154) Epoch: [45][4040/10010] Time 0.316 (0.327) Data 0.001 (0.001) Loss 2.0403 (1.7834) Prec@1 50.000 (59.387) Prec@5 75.000 (81.155) Epoch: [45][4050/10010] Time 0.313 (0.327) Data 0.001 (0.001) Loss 1.8390 (1.7835) Prec@1 60.938 (59.385) Prec@5 81.250 (81.154) Epoch: [45][4060/10010] Time 0.326 (0.327) Data 0.000 (0.001) Loss 2.0530 (1.7837) Prec@1 54.688 (59.383) Prec@5 76.562 (81.150) Epoch: [45][4070/10010] Time 0.332 (0.327) Data 0.001 (0.001) Loss 1.9612 (1.7837) Prec@1 53.906 (59.379) Prec@5 78.125 (81.149) Epoch: [45][4080/10010] Time 0.317 (0.327) Data 0.001 (0.001) Loss 1.7219 (1.7836) Prec@1 57.812 (59.386) Prec@5 82.812 (81.150) Epoch: [45][4090/10010] Time 0.336 (0.327) Data 0.001 (0.001) Loss 1.8222 (1.7838) Prec@1 55.469 (59.381) Prec@5 80.469 (81.147) Epoch: [45][4100/10010] Time 0.336 (0.327) Data 0.001 (0.001) Loss 1.7730 (1.7836) Prec@1 59.375 (59.385) Prec@5 79.688 (81.150) Epoch: [45][4110/10010] Time 0.315 (0.327) Data 0.000 (0.001) Loss 1.6777 (1.7836) Prec@1 63.281 (59.384) Prec@5 82.812 (81.150) Epoch: [45][4120/10010] Time 0.317 (0.327) Data 0.001 (0.001) Loss 1.6093 (1.7837) Prec@1 60.938 (59.382) Prec@5 81.250 (81.148) Epoch: [45][4130/10010] Time 0.330 (0.327) Data 0.000 (0.001) Loss 1.7883 (1.7834) Prec@1 59.375 (59.385) Prec@5 82.031 (81.152) Epoch: [45][4140/10010] Time 0.318 (0.327) Data 0.001 (0.001) Loss 1.7486 (1.7833) Prec@1 57.031 (59.388) Prec@5 81.250 (81.153) Epoch: [45][4150/10010] Time 0.337 (0.327) Data 0.001 (0.001) Loss 1.8885 (1.7832) Prec@1 59.375 (59.391) Prec@5 79.688 (81.153) Epoch: [45][4160/10010] Time 0.317 (0.327) Data 0.000 (0.001) Loss 1.6023 (1.7833) Prec@1 67.188 (59.392) Prec@5 83.594 (81.151) Epoch: [45][4170/10010] Time 0.333 (0.327) Data 0.001 (0.001) Loss 1.7838 (1.7834) Prec@1 53.906 (59.388) Prec@5 84.375 (81.149) Epoch: [45][4180/10010] Time 0.336 (0.327) Data 0.001 (0.001) Loss 1.9418 (1.7833) Prec@1 55.469 (59.390) Prec@5 78.125 (81.152) Epoch: [45][4190/10010] Time 0.320 (0.327) Data 0.001 (0.001) Loss 1.8917 (1.7837) Prec@1 61.719 (59.387) Prec@5 78.906 (81.147) Epoch: [45][4200/10010] Time 0.336 (0.327) Data 0.000 (0.001) Loss 1.7775 (1.7836) Prec@1 61.719 (59.390) Prec@5 81.250 (81.147) Epoch: [45][4210/10010] Time 0.333 (0.327) Data 0.001 (0.001) Loss 2.0498 (1.7840) Prec@1 54.688 (59.384) Prec@5 75.781 (81.137) Epoch: [45][4220/10010] Time 0.326 (0.327) Data 0.001 (0.001) Loss 1.6735 (1.7840) Prec@1 61.719 (59.384) Prec@5 85.156 (81.138) Epoch: [45][4230/10010] Time 0.313 (0.327) Data 0.001 (0.001) Loss 2.1551 (1.7844) Prec@1 53.906 (59.376) Prec@5 72.656 (81.131) Epoch: [45][4240/10010] Time 0.325 (0.327) Data 0.001 (0.001) Loss 1.9802 (1.7844) Prec@1 53.906 (59.377) Prec@5 76.562 (81.130) Epoch: [45][4250/10010] Time 0.334 (0.327) Data 0.001 (0.001) Loss 1.7344 (1.7842) Prec@1 60.938 (59.376) Prec@5 82.031 (81.133) Epoch: [45][4260/10010] Time 0.328 (0.327) Data 0.001 (0.001) Loss 1.7056 (1.7844) Prec@1 61.719 (59.373) Prec@5 82.031 (81.130) Epoch: [45][4270/10010] Time 0.325 (0.327) Data 0.000 (0.001) Loss 1.7511 (1.7845) Prec@1 57.812 (59.368) Prec@5 78.906 (81.128) Epoch: [45][4280/10010] Time 0.337 (0.327) Data 0.000 (0.001) Loss 1.7777 (1.7845) Prec@1 61.719 (59.366) Prec@5 85.156 (81.130) Epoch: [45][4290/10010] Time 0.314 (0.327) Data 0.001 (0.001) Loss 1.9290 (1.7846) Prec@1 54.688 (59.364) Prec@5 76.562 (81.127) Epoch: [45][4300/10010] Time 0.316 (0.327) Data 0.001 (0.001) Loss 1.7969 (1.7847) Prec@1 61.719 (59.362) Prec@5 78.906 (81.125) Epoch: [45][4310/10010] Time 0.331 (0.327) Data 0.000 (0.001) Loss 1.9755 (1.7848) Prec@1 57.031 (59.359) Prec@5 79.688 (81.127) Epoch: [45][4320/10010] Time 0.324 (0.327) Data 0.000 (0.001) Loss 1.8990 (1.7849) Prec@1 62.500 (59.357) Prec@5 77.344 (81.123) Epoch: [45][4330/10010] Time 0.315 (0.327) Data 0.001 (0.001) Loss 1.6316 (1.7846) Prec@1 60.938 (59.363) Prec@5 82.031 (81.128) Epoch: [45][4340/10010] Time 0.324 (0.327) Data 0.000 (0.001) Loss 1.7276 (1.7846) Prec@1 61.719 (59.360) Prec@5 83.594 (81.128) Epoch: [45][4350/10010] Time 0.340 (0.327) Data 0.001 (0.001) Loss 1.6080 (1.7846) Prec@1 60.938 (59.360) Prec@5 82.031 (81.128) Epoch: [45][4360/10010] Time 0.318 (0.327) Data 0.001 (0.001) Loss 2.0019 (1.7846) Prec@1 57.031 (59.361) Prec@5 80.469 (81.128) Epoch: [45][4370/10010] Time 0.334 (0.327) Data 0.000 (0.001) Loss 2.1670 (1.7846) Prec@1 55.469 (59.361) Prec@5 80.469 (81.129) Epoch: [45][4380/10010] Time 0.334 (0.327) Data 0.001 (0.001) Loss 1.8640 (1.7845) Prec@1 57.812 (59.363) Prec@5 78.906 (81.130) Epoch: [45][4390/10010] Time 0.320 (0.327) Data 0.000 (0.001) Loss 1.6277 (1.7845) Prec@1 57.812 (59.359) Prec@5 83.594 (81.130) Epoch: [45][4400/10010] Time 0.316 (0.327) Data 0.001 (0.001) Loss 1.7349 (1.7843) Prec@1 56.250 (59.362) Prec@5 81.250 (81.132) Epoch: [45][4410/10010] Time 0.316 (0.327) Data 0.001 (0.001) Loss 1.8129 (1.7844) Prec@1 62.500 (59.361) Prec@5 80.469 (81.132) Epoch: [45][4420/10010] Time 0.338 (0.327) Data 0.001 (0.001) Loss 1.8614 (1.7845) Prec@1 60.156 (59.358) Prec@5 78.906 (81.134) Epoch: [45][4430/10010] Time 0.324 (0.327) Data 0.000 (0.001) Loss 1.5904 (1.7843) Prec@1 62.500 (59.359) Prec@5 87.500 (81.136) Epoch: [45][4440/10010] Time 0.333 (0.327) Data 0.000 (0.001) Loss 1.7172 (1.7843) Prec@1 59.375 (59.360) Prec@5 82.812 (81.136) Epoch: [45][4450/10010] Time 0.324 (0.327) Data 0.001 (0.001) Loss 1.6979 (1.7843) Prec@1 62.500 (59.361) Prec@5 84.375 (81.136) Epoch: [45][4460/10010] Time 0.337 (0.327) Data 0.001 (0.001) Loss 2.3144 (1.7843) Prec@1 49.219 (59.366) Prec@5 73.438 (81.136) Epoch: [45][4470/10010] Time 0.339 (0.327) Data 0.001 (0.001) Loss 1.8017 (1.7844) Prec@1 56.250 (59.365) Prec@5 80.469 (81.133) Epoch: [45][4480/10010] Time 0.317 (0.327) Data 0.001 (0.001) Loss 1.9321 (1.7844) Prec@1 58.594 (59.363) Prec@5 78.125 (81.131) Epoch: [45][4490/10010] Time 0.338 (0.327) Data 0.001 (0.001) Loss 1.7762 (1.7843) Prec@1 64.062 (59.370) Prec@5 81.250 (81.133) Epoch: [45][4500/10010] Time 0.332 (0.327) Data 0.001 (0.001) Loss 1.5739 (1.7841) Prec@1 64.844 (59.371) Prec@5 86.719 (81.139) Epoch: [45][4510/10010] Time 0.322 (0.327) Data 0.000 (0.001) Loss 2.0446 (1.7843) Prec@1 59.375 (59.369) Prec@5 76.562 (81.139) Epoch: [45][4520/10010] Time 0.335 (0.327) Data 0.000 (0.001) Loss 2.0740 (1.7842) Prec@1 53.125 (59.367) Prec@5 76.562 (81.137) Epoch: [45][4530/10010] Time 0.340 (0.327) Data 0.000 (0.001) Loss 2.0059 (1.7844) Prec@1 59.375 (59.365) Prec@5 76.562 (81.136) Epoch: [45][4540/10010] Time 0.318 (0.327) Data 0.001 (0.001) Loss 1.6478 (1.7844) Prec@1 66.406 (59.366) Prec@5 82.031 (81.136) Epoch: [45][4550/10010] Time 0.333 (0.327) Data 0.001 (0.001) Loss 2.1038 (1.7847) Prec@1 56.250 (59.357) Prec@5 78.906 (81.133) Epoch: [45][4560/10010] Time 0.316 (0.327) Data 0.000 (0.001) Loss 1.6874 (1.7846) Prec@1 58.594 (59.359) Prec@5 82.031 (81.136) Epoch: [45][4570/10010] Time 0.342 (0.327) Data 0.001 (0.001) Loss 1.9781 (1.7847) Prec@1 52.344 (59.353) Prec@5 76.562 (81.134) Epoch: [45][4580/10010] Time 0.319 (0.327) Data 0.001 (0.001) Loss 1.6013 (1.7847) Prec@1 62.500 (59.354) Prec@5 80.469 (81.137) Epoch: [45][4590/10010] Time 0.335 (0.327) Data 0.001 (0.001) Loss 1.6733 (1.7848) Prec@1 60.938 (59.351) Prec@5 85.156 (81.135) Epoch: [45][4600/10010] Time 0.332 (0.327) Data 0.001 (0.001) Loss 1.9257 (1.7849) Prec@1 54.688 (59.350) Prec@5 74.219 (81.133) Epoch: [45][4610/10010] Time 0.321 (0.327) Data 0.001 (0.001) Loss 1.7861 (1.7850) Prec@1 57.812 (59.345) Prec@5 83.594 (81.133) Epoch: [45][4620/10010] Time 0.312 (0.327) Data 0.001 (0.001) Loss 1.9351 (1.7850) Prec@1 60.156 (59.345) Prec@5 76.562 (81.132) Epoch: [45][4630/10010] Time 0.316 (0.327) Data 0.001 (0.001) Loss 1.7657 (1.7849) Prec@1 55.469 (59.347) Prec@5 81.250 (81.133) Epoch: [45][4640/10010] Time 0.323 (0.327) Data 0.000 (0.001) Loss 1.5351 (1.7851) Prec@1 63.281 (59.343) Prec@5 85.156 (81.131) Epoch: [45][4650/10010] Time 0.319 (0.327) Data 0.000 (0.001) Loss 1.4289 (1.7851) Prec@1 64.844 (59.342) Prec@5 85.156 (81.132) Epoch: [45][4660/10010] Time 0.339 (0.327) Data 0.001 (0.001) Loss 1.9915 (1.7852) Prec@1 56.250 (59.338) Prec@5 77.344 (81.131) Epoch: [45][4670/10010] Time 0.311 (0.327) Data 0.001 (0.001) Loss 1.5406 (1.7851) Prec@1 66.406 (59.339) Prec@5 87.500 (81.130) Epoch: [45][4680/10010] Time 0.316 (0.327) Data 0.001 (0.001) Loss 1.9509 (1.7852) Prec@1 58.594 (59.339) Prec@5 79.688 (81.133) Epoch: [45][4690/10010] Time 0.336 (0.327) Data 0.001 (0.001) Loss 1.7382 (1.7851) Prec@1 63.281 (59.343) Prec@5 83.594 (81.135) Epoch: [45][4700/10010] Time 0.318 (0.327) Data 0.001 (0.001) Loss 1.8754 (1.7853) Prec@1 53.125 (59.340) Prec@5 78.125 (81.132) Epoch: [45][4710/10010] Time 0.314 (0.327) Data 0.000 (0.001) Loss 1.4307 (1.7850) Prec@1 69.531 (59.346) Prec@5 86.719 (81.135) Epoch: [45][4720/10010] Time 0.339 (0.327) Data 0.000 (0.001) Loss 1.8918 (1.7851) Prec@1 56.250 (59.344) Prec@5 78.125 (81.133) Epoch: [45][4730/10010] Time 0.319 (0.327) Data 0.000 (0.001) Loss 1.9162 (1.7850) Prec@1 56.250 (59.346) Prec@5 82.031 (81.136) Epoch: [45][4740/10010] Time 0.327 (0.327) Data 0.000 (0.001) Loss 1.4037 (1.7849) Prec@1 68.750 (59.345) Prec@5 88.281 (81.137) Epoch: [45][4750/10010] Time 0.338 (0.327) Data 0.000 (0.001) Loss 1.6826 (1.7850) Prec@1 60.938 (59.345) Prec@5 82.031 (81.136) Epoch: [45][4760/10010] Time 0.315 (0.327) Data 0.001 (0.001) Loss 1.7479 (1.7850) Prec@1 60.938 (59.343) Prec@5 83.594 (81.136) Epoch: [45][4770/10010] Time 0.336 (0.327) Data 0.001 (0.001) Loss 1.6686 (1.7851) Prec@1 64.062 (59.342) Prec@5 82.812 (81.137) Epoch: [45][4780/10010] Time 0.338 (0.327) Data 0.000 (0.001) Loss 1.7226 (1.7851) Prec@1 54.688 (59.342) Prec@5 84.375 (81.138) Epoch: [45][4790/10010] Time 0.323 (0.327) Data 0.000 (0.001) Loss 1.6141 (1.7851) Prec@1 59.375 (59.343) Prec@5 83.594 (81.137) Epoch: [45][4800/10010] Time 0.320 (0.327) Data 0.001 (0.001) Loss 1.6444 (1.7850) Prec@1 58.594 (59.346) Prec@5 84.375 (81.141) Epoch: [45][4810/10010] Time 0.318 (0.327) Data 0.001 (0.001) Loss 1.6717 (1.7851) Prec@1 57.812 (59.343) Prec@5 82.031 (81.140) Epoch: [45][4820/10010] Time 0.332 (0.327) Data 0.001 (0.001) Loss 1.7320 (1.7849) Prec@1 58.594 (59.347) Prec@5 83.594 (81.144) Epoch: [45][4830/10010] Time 0.316 (0.327) Data 0.000 (0.001) Loss 1.7017 (1.7850) Prec@1 54.688 (59.349) Prec@5 83.594 (81.146) Epoch: [45][4840/10010] Time 0.321 (0.327) Data 0.001 (0.001) Loss 1.7924 (1.7851) Prec@1 55.469 (59.346) Prec@5 83.594 (81.145) Epoch: [45][4850/10010] Time 0.319 (0.327) Data 0.001 (0.001) Loss 1.7072 (1.7852) Prec@1 60.156 (59.346) Prec@5 82.812 (81.144) Epoch: [45][4860/10010] Time 0.319 (0.327) Data 0.000 (0.001) Loss 1.8003 (1.7855) Prec@1 63.281 (59.338) Prec@5 79.688 (81.140) Epoch: [45][4870/10010] Time 0.327 (0.327) Data 0.000 (0.001) Loss 2.0360 (1.7856) Prec@1 57.812 (59.334) Prec@5 78.906 (81.137) Epoch: [45][4880/10010] Time 0.326 (0.327) Data 0.001 (0.001) Loss 1.7020 (1.7855) Prec@1 61.719 (59.340) Prec@5 81.250 (81.140) Epoch: [45][4890/10010] Time 0.322 (0.327) Data 0.001 (0.001) Loss 1.8327 (1.7856) Prec@1 59.375 (59.338) Prec@5 82.031 (81.137) Epoch: [45][4900/10010] Time 0.331 (0.327) Data 0.001 (0.001) Loss 1.8193 (1.7856) Prec@1 57.031 (59.338) Prec@5 78.906 (81.136) Epoch: [45][4910/10010] Time 0.327 (0.327) Data 0.001 (0.001) Loss 1.9940 (1.7858) Prec@1 53.906 (59.334) Prec@5 78.125 (81.134) Epoch: [45][4920/10010] Time 0.316 (0.327) Data 0.001 (0.001) Loss 1.9243 (1.7858) Prec@1 56.250 (59.332) Prec@5 85.938 (81.137) Epoch: [45][4930/10010] Time 0.325 (0.327) Data 0.000 (0.001) Loss 1.8649 (1.7859) Prec@1 59.375 (59.332) Prec@5 82.031 (81.137) Epoch: [45][4940/10010] Time 0.332 (0.327) Data 0.000 (0.001) Loss 2.0228 (1.7859) Prec@1 51.562 (59.330) Prec@5 80.469 (81.140) Epoch: [45][4950/10010] Time 0.328 (0.327) Data 0.001 (0.001) Loss 1.8638 (1.7861) Prec@1 58.594 (59.327) Prec@5 75.781 (81.136) Epoch: [45][4960/10010] Time 0.329 (0.327) Data 0.000 (0.001) Loss 1.8623 (1.7862) Prec@1 59.375 (59.326) Prec@5 77.344 (81.135) Epoch: [45][4970/10010] Time 0.312 (0.327) Data 0.001 (0.001) Loss 1.4100 (1.7862) Prec@1 64.062 (59.326) Prec@5 89.062 (81.136) Epoch: [45][4980/10010] Time 0.340 (0.327) Data 0.000 (0.001) Loss 2.1253 (1.7864) Prec@1 52.344 (59.322) Prec@5 75.781 (81.134) Epoch: [45][4990/10010] Time 0.339 (0.327) Data 0.000 (0.001) Loss 2.0301 (1.7866) Prec@1 59.375 (59.317) Prec@5 77.344 (81.130) Epoch: [45][5000/10010] Time 0.322 (0.327) Data 0.001 (0.001) Loss 1.5844 (1.7865) Prec@1 60.156 (59.319) Prec@5 85.938 (81.130) Epoch: [45][5010/10010] Time 0.335 (0.327) Data 0.001 (0.001) Loss 2.0813 (1.7865) Prec@1 53.125 (59.319) Prec@5 75.781 (81.131) Epoch: [45][5020/10010] Time 0.322 (0.327) Data 0.001 (0.001) Loss 1.9057 (1.7866) Prec@1 55.469 (59.316) Prec@5 79.688 (81.131) Epoch: [45][5030/10010] Time 0.333 (0.327) Data 0.001 (0.001) Loss 1.8493 (1.7867) Prec@1 53.906 (59.315) Prec@5 80.469 (81.129) Epoch: [45][5040/10010] Time 0.321 (0.327) Data 0.001 (0.001) Loss 1.5509 (1.7867) Prec@1 62.500 (59.314) Prec@5 82.031 (81.129) Epoch: [45][5050/10010] Time 0.316 (0.327) Data 0.001 (0.001) Loss 1.6994 (1.7866) Prec@1 64.062 (59.315) Prec@5 85.156 (81.130) Epoch: [45][5060/10010] Time 0.320 (0.327) Data 0.001 (0.001) Loss 1.6410 (1.7867) Prec@1 60.938 (59.311) Prec@5 80.469 (81.128) Epoch: [45][5070/10010] Time 0.309 (0.327) Data 0.001 (0.001) Loss 2.1338 (1.7868) Prec@1 56.250 (59.310) Prec@5 77.344 (81.129) Epoch: [45][5080/10010] Time 0.336 (0.327) Data 0.001 (0.001) Loss 1.7086 (1.7868) Prec@1 60.938 (59.307) Prec@5 82.031 (81.129) Epoch: [45][5090/10010] Time 0.333 (0.327) Data 0.000 (0.001) Loss 1.9107 (1.7867) Prec@1 54.688 (59.307) Prec@5 78.906 (81.130) Epoch: [45][5100/10010] Time 0.312 (0.327) Data 0.001 (0.001) Loss 1.7688 (1.7867) Prec@1 57.812 (59.306) Prec@5 82.031 (81.129) Epoch: [45][5110/10010] Time 0.318 (0.327) Data 0.001 (0.001) Loss 1.7691 (1.7870) Prec@1 57.812 (59.300) Prec@5 83.594 (81.126) Epoch: [45][5120/10010] Time 0.336 (0.327) Data 0.001 (0.001) Loss 1.6026 (1.7871) Prec@1 60.938 (59.299) Prec@5 87.500 (81.124) Epoch: [45][5130/10010] Time 0.334 (0.327) Data 0.001 (0.001) Loss 1.6031 (1.7870) Prec@1 67.969 (59.301) Prec@5 85.156 (81.123) Epoch: [45][5140/10010] Time 0.320 (0.327) Data 0.001 (0.001) Loss 1.6151 (1.7871) Prec@1 60.156 (59.299) Prec@5 83.594 (81.122) Epoch: [45][5150/10010] Time 0.317 (0.327) Data 0.001 (0.001) Loss 1.7359 (1.7871) Prec@1 58.594 (59.299) Prec@5 83.594 (81.123) Epoch: [45][5160/10010] Time 0.334 (0.327) Data 0.000 (0.001) Loss 1.7339 (1.7871) Prec@1 60.938 (59.302) Prec@5 82.031 (81.124) Epoch: [45][5170/10010] Time 0.325 (0.327) Data 0.000 (0.001) Loss 1.8142 (1.7871) Prec@1 62.500 (59.303) Prec@5 82.812 (81.122) Epoch: [45][5180/10010] Time 0.325 (0.327) Data 0.001 (0.001) Loss 1.6624 (1.7872) Prec@1 63.281 (59.304) Prec@5 80.469 (81.123) Epoch: [45][5190/10010] Time 0.319 (0.327) Data 0.001 (0.001) Loss 1.9359 (1.7872) Prec@1 59.375 (59.302) Prec@5 78.125 (81.125) Epoch: [45][5200/10010] Time 0.322 (0.327) Data 0.001 (0.001) Loss 1.6967 (1.7872) Prec@1 61.719 (59.304) Prec@5 82.031 (81.126) Epoch: [45][5210/10010] Time 0.338 (0.327) Data 0.000 (0.001) Loss 1.6633 (1.7874) Prec@1 65.625 (59.299) Prec@5 82.031 (81.121) Epoch: [45][5220/10010] Time 0.319 (0.327) Data 0.001 (0.001) Loss 1.8453 (1.7875) Prec@1 62.500 (59.295) Prec@5 78.906 (81.120) Epoch: [45][5230/10010] Time 0.318 (0.327) Data 0.000 (0.001) Loss 2.1352 (1.7876) Prec@1 54.688 (59.293) Prec@5 78.906 (81.119) Epoch: [45][5240/10010] Time 0.333 (0.327) Data 0.001 (0.001) Loss 1.7515 (1.7876) Prec@1 57.812 (59.295) Prec@5 83.594 (81.121) Epoch: [45][5250/10010] Time 0.329 (0.327) Data 0.000 (0.001) Loss 2.0180 (1.7876) Prec@1 63.281 (59.295) Prec@5 77.344 (81.120) Epoch: [45][5260/10010] Time 0.325 (0.327) Data 0.001 (0.001) Loss 1.6215 (1.7876) Prec@1 60.938 (59.296) Prec@5 82.031 (81.119) Epoch: [45][5270/10010] Time 0.338 (0.327) Data 0.001 (0.001) Loss 2.1264 (1.7878) Prec@1 54.688 (59.293) Prec@5 76.562 (81.116) /data/vision/torralba/deepscene/lib/anaconda2/lib/python2.7/site-packages/PIL/TiffImagePlugin.py:692: UserWarning: Possibly corrupt EXIF data. Expecting to read 1835008 bytes but only got 0. Skipping tag 0 "Skipping tag %s" % (size, len(data), tag)) Epoch: [45][5280/10010] Time 0.338 (0.327) Data 0.000 (0.001) Loss 1.8313 (1.7880) Prec@1 60.938 (59.294) Prec@5 82.031 (81.113) Epoch: [45][5290/10010] Time 0.319 (0.327) Data 0.001 (0.001) Loss 2.0944 (1.7880) Prec@1 52.344 (59.288) Prec@5 79.688 (81.114) Epoch: [45][5300/10010] Time 0.337 (0.327) Data 0.001 (0.001) Loss 1.8491 (1.7883) Prec@1 58.594 (59.286) Prec@5 78.125 (81.107) Epoch: [45][5310/10010] Time 0.331 (0.327) Data 0.001 (0.001) Loss 1.5842 (1.7885) Prec@1 64.062 (59.286) Prec@5 83.594 (81.103) Epoch: [45][5320/10010] Time 0.323 (0.327) Data 0.001 (0.001) Loss 1.7961 (1.7885) Prec@1 53.906 (59.287) Prec@5 85.156 (81.105) Epoch: [45][5330/10010] Time 0.342 (0.327) Data 0.000 (0.001) Loss 1.8916 (1.7886) Prec@1 56.250 (59.284) Prec@5 82.812 (81.104) Epoch: [45][5340/10010] Time 0.333 (0.327) Data 0.001 (0.001) Loss 1.6753 (1.7885) Prec@1 61.719 (59.288) Prec@5 82.031 (81.107) Epoch: [45][5350/10010] Time 0.323 (0.327) Data 0.001 (0.001) Loss 1.8864 (1.7887) Prec@1 57.812 (59.287) Prec@5 80.469 (81.102) Epoch: [45][5360/10010] Time 0.312 (0.327) Data 0.001 (0.001) Loss 1.8373 (1.7888) Prec@1 63.281 (59.285) Prec@5 81.250 (81.100) Epoch: [45][5370/10010] Time 0.319 (0.327) Data 0.001 (0.001) Loss 1.7866 (1.7889) Prec@1 61.719 (59.284) Prec@5 80.469 (81.101) Epoch: [45][5380/10010] Time 0.326 (0.327) Data 0.000 (0.001) Loss 1.5734 (1.7887) Prec@1 63.281 (59.286) Prec@5 81.250 (81.102) Epoch: [45][5390/10010] Time 0.319 (0.327) Data 0.001 (0.001) Loss 2.1057 (1.7888) Prec@1 56.250 (59.283) Prec@5 76.562 (81.101) Epoch: [45][5400/10010] Time 0.338 (0.327) Data 0.001 (0.001) Loss 1.7906 (1.7888) Prec@1 57.812 (59.282) Prec@5 82.812 (81.100) Epoch: [45][5410/10010] Time 0.343 (0.327) Data 0.000 (0.001) Loss 1.6239 (1.7889) Prec@1 64.844 (59.279) Prec@5 84.375 (81.097) Epoch: [45][5420/10010] Time 0.323 (0.327) Data 0.000 (0.001) Loss 2.0626 (1.7889) Prec@1 57.031 (59.279) Prec@5 78.125 (81.095) Epoch: [45][5430/10010] Time 0.318 (0.327) Data 0.001 (0.001) Loss 1.9506 (1.7889) Prec@1 57.812 (59.279) Prec@5 75.000 (81.097) Epoch: [45][5440/10010] Time 0.317 (0.327) Data 0.001 (0.001) Loss 1.6406 (1.7889) Prec@1 64.062 (59.277) Prec@5 82.031 (81.094) Epoch: [45][5450/10010] Time 0.338 (0.327) Data 0.000 (0.001) Loss 1.7380 (1.7890) Prec@1 60.938 (59.278) Prec@5 85.156 (81.093) Epoch: [45][5460/10010] Time 0.320 (0.327) Data 0.000 (0.001) Loss 2.1023 (1.7892) Prec@1 54.688 (59.275) Prec@5 78.906 (81.091) Epoch: [45][5470/10010] Time 0.330 (0.327) Data 0.001 (0.001) Loss 1.9839 (1.7892) Prec@1 58.594 (59.273) Prec@5 78.906 (81.087) Epoch: [45][5480/10010] Time 0.328 (0.327) Data 0.001 (0.001) Loss 1.8436 (1.7894) Prec@1 60.938 (59.270) Prec@5 75.781 (81.085) Epoch: [45][5490/10010] Time 0.331 (0.327) Data 0.000 (0.001) Loss 1.6860 (1.7893) Prec@1 60.156 (59.271) Prec@5 82.812 (81.087) Epoch: [45][5500/10010] Time 0.314 (0.327) Data 0.001 (0.001) Loss 1.6086 (1.7894) Prec@1 63.281 (59.269) Prec@5 83.594 (81.086) Epoch: [45][5510/10010] Time 0.319 (0.327) Data 0.001 (0.001) Loss 1.7213 (1.7894) Prec@1 55.469 (59.267) Prec@5 83.594 (81.088) Epoch: [45][5520/10010] Time 0.320 (0.327) Data 0.001 (0.001) Loss 1.6734 (1.7894) Prec@1 63.281 (59.268) Prec@5 81.250 (81.087) Epoch: [45][5530/10010] Time 0.324 (0.327) Data 0.000 (0.001) Loss 2.0135 (1.7895) Prec@1 51.562 (59.265) Prec@5 79.688 (81.087) Epoch: [45][5540/10010] Time 0.315 (0.327) Data 0.001 (0.001) Loss 1.5242 (1.7894) Prec@1 63.281 (59.264) Prec@5 84.375 (81.086) Epoch: [45][5550/10010] Time 0.343 (0.327) Data 0.001 (0.001) Loss 1.7737 (1.7897) Prec@1 55.469 (59.260) Prec@5 80.469 (81.082) Epoch: [45][5560/10010] Time 0.339 (0.327) Data 0.001 (0.001) Loss 1.9386 (1.7899) Prec@1 53.906 (59.253) Prec@5 75.781 (81.080) Epoch: [45][5570/10010] Time 0.339 (0.327) Data 0.001 (0.001) Loss 1.7650 (1.7899) Prec@1 56.250 (59.253) Prec@5 82.031 (81.080) Epoch: [45][5580/10010] Time 0.331 (0.327) Data 0.001 (0.001) Loss 1.7095 (1.7900) Prec@1 59.375 (59.253) Prec@5 79.688 (81.076) Epoch: [45][5590/10010] Time 0.338 (0.327) Data 0.001 (0.001) Loss 1.4335 (1.7900) Prec@1 62.500 (59.252) Prec@5 89.062 (81.075) Epoch: [45][5600/10010] Time 0.312 (0.327) Data 0.001 (0.001) Loss 1.8548 (1.7902) Prec@1 59.375 (59.250) Prec@5 80.469 (81.072) Epoch: [45][5610/10010] Time 0.335 (0.327) Data 0.000 (0.001) Loss 1.8117 (1.7901) Prec@1 59.375 (59.250) Prec@5 83.594 (81.076) Epoch: [45][5620/10010] Time 0.334 (0.327) Data 0.000 (0.001) Loss 2.0364 (1.7902) Prec@1 53.906 (59.248) Prec@5 79.688 (81.074) Epoch: [45][5630/10010] Time 0.317 (0.327) Data 0.001 (0.001) Loss 1.6166 (1.7901) Prec@1 59.375 (59.248) Prec@5 88.281 (81.077) Epoch: [45][5640/10010] Time 0.325 (0.327) Data 0.000 (0.001) Loss 1.7589 (1.7900) Prec@1 60.156 (59.250) Prec@5 84.375 (81.078) Epoch: [45][5650/10010] Time 0.337 (0.327) Data 0.000 (0.001) Loss 1.4591 (1.7900) Prec@1 67.969 (59.248) Prec@5 87.500 (81.077) Epoch: [45][5660/10010] Time 0.318 (0.327) Data 0.001 (0.001) Loss 1.8667 (1.7901) Prec@1 57.031 (59.248) Prec@5 77.344 (81.073) Epoch: [45][5670/10010] Time 0.332 (0.327) Data 0.000 (0.001) Loss 1.5627 (1.7901) Prec@1 64.844 (59.248) Prec@5 80.469 (81.072) Epoch: [45][5680/10010] Time 0.321 (0.327) Data 0.000 (0.001) Loss 1.8040 (1.7899) Prec@1 62.500 (59.253) Prec@5 81.250 (81.074) Epoch: [45][5690/10010] Time 0.329 (0.327) Data 0.001 (0.001) Loss 1.7099 (1.7901) Prec@1 64.062 (59.253) Prec@5 81.250 (81.070) Epoch: [45][5700/10010] Time 0.314 (0.327) Data 0.000 (0.001) Loss 2.2837 (1.7902) Prec@1 50.000 (59.251) Prec@5 75.000 (81.068) Epoch: [45][5710/10010] Time 0.338 (0.327) Data 0.001 (0.001) Loss 1.6912 (1.7901) Prec@1 59.375 (59.253) Prec@5 82.812 (81.070) Epoch: [45][5720/10010] Time 0.330 (0.327) Data 0.001 (0.001) Loss 1.8505 (1.7902) Prec@1 61.719 (59.254) Prec@5 81.250 (81.069) Epoch: [45][5730/10010] Time 0.331 (0.327) Data 0.001 (0.001) Loss 2.0468 (1.7902) Prec@1 53.906 (59.254) Prec@5 78.125 (81.069) Epoch: [45][5740/10010] Time 0.318 (0.327) Data 0.001 (0.001) Loss 1.9961 (1.7903) Prec@1 53.906 (59.252) Prec@5 76.562 (81.067) Epoch: [45][5750/10010] Time 0.316 (0.327) Data 0.001 (0.001) Loss 1.7578 (1.7902) Prec@1 57.812 (59.254) Prec@5 82.812 (81.067) Epoch: [45][5760/10010] Time 0.330 (0.327) Data 0.001 (0.001) Loss 1.8713 (1.7904) Prec@1 56.250 (59.251) Prec@5 78.125 (81.065) Epoch: [45][5770/10010] Time 0.318 (0.327) Data 0.000 (0.001) Loss 1.8537 (1.7905) Prec@1 56.250 (59.251) Prec@5 81.250 (81.064) Epoch: [45][5780/10010] Time 0.310 (0.327) Data 0.001 (0.001) Loss 2.0601 (1.7904) Prec@1 55.469 (59.252) Prec@5 82.031 (81.068) Epoch: [45][5790/10010] Time 0.340 (0.327) Data 0.001 (0.001) Loss 1.7168 (1.7904) Prec@1 64.062 (59.253) Prec@5 83.594 (81.070) Epoch: [45][5800/10010] Time 0.316 (0.327) Data 0.000 (0.001) Loss 1.9078 (1.7903) Prec@1 57.031 (59.255) Prec@5 78.125 (81.071) Epoch: [45][5810/10010] Time 0.325 (0.327) Data 0.000 (0.001) Loss 1.8776 (1.7904) Prec@1 56.250 (59.253) Prec@5 78.125 (81.070) Epoch: [45][5820/10010] Time 0.318 (0.327) Data 0.000 (0.001) Loss 1.7683 (1.7904) Prec@1 62.500 (59.255) Prec@5 83.594 (81.069) Epoch: [45][5830/10010] Time 0.319 (0.327) Data 0.000 (0.001) Loss 1.5999 (1.7903) Prec@1 63.281 (59.258) Prec@5 82.031 (81.069) Epoch: [45][5840/10010] Time 0.339 (0.327) Data 0.000 (0.001) Loss 1.7240 (1.7901) Prec@1 60.938 (59.259) Prec@5 80.469 (81.071) Epoch: [45][5850/10010] Time 0.327 (0.327) Data 0.000 (0.001) Loss 1.7230 (1.7902) Prec@1 61.719 (59.261) Prec@5 82.812 (81.069) Epoch: [45][5860/10010] Time 0.329 (0.327) Data 0.001 (0.001) Loss 1.7154 (1.7901) Prec@1 58.594 (59.261) Prec@5 85.156 (81.070) Epoch: [45][5870/10010] Time 0.314 (0.327) Data 0.001 (0.001) Loss 1.6542 (1.7901) Prec@1 60.938 (59.260) Prec@5 79.688 (81.069) Epoch: [45][5880/10010] Time 0.334 (0.327) Data 0.001 (0.001) Loss 2.0123 (1.7903) Prec@1 59.375 (59.256) Prec@5 73.438 (81.068) Epoch: [45][5890/10010] Time 0.338 (0.327) Data 0.000 (0.001) Loss 1.7341 (1.7903) Prec@1 63.281 (59.258) Prec@5 78.906 (81.067) Epoch: [45][5900/10010] Time 0.322 (0.327) Data 0.001 (0.001) Loss 1.7310 (1.7902) Prec@1 63.281 (59.260) Prec@5 79.688 (81.067) Epoch: [45][5910/10010] Time 0.342 (0.327) Data 0.000 (0.001) Loss 2.0137 (1.7902) Prec@1 53.125 (59.260) Prec@5 75.781 (81.068) Epoch: [45][5920/10010] Time 0.322 (0.327) Data 0.000 (0.001) Loss 1.9326 (1.7903) Prec@1 54.688 (59.259) Prec@5 80.469 (81.070) Epoch: [45][5930/10010] Time 0.315 (0.327) Data 0.001 (0.001) Loss 1.6389 (1.7904) Prec@1 60.156 (59.256) Prec@5 84.375 (81.067) Epoch: [45][5940/10010] Time 0.321 (0.327) Data 0.001 (0.001) Loss 1.7143 (1.7903) Prec@1 63.281 (59.258) Prec@5 85.156 (81.070) /data/vision/torralba/deepscene/lib/anaconda2/lib/python2.7/site-packages/PIL/TiffImagePlugin.py:709: UserWarning: Corrupt EXIF data. Expecting to read 4 bytes but only got 0. warnings.warn(str(msg)) Epoch: [45][5950/10010] Time 0.318 (0.327) Data 0.000 (0.001) Loss 1.6227 (1.7903) Prec@1 60.938 (59.257) Prec@5 82.031 (81.069) Epoch: [45][5960/10010] Time 0.316 (0.327) Data 0.001 (0.001) Loss 1.9032 (1.7902) Prec@1 57.031 (59.258) Prec@5 79.688 (81.069) Epoch: [45][5970/10010] Time 0.326 (0.327) Data 0.001 (0.001) Loss 2.0570 (1.7903) Prec@1 55.469 (59.256) Prec@5 80.469 (81.067) Epoch: [45][5980/10010] Time 0.328 (0.327) Data 0.000 (0.001) Loss 1.6334 (1.7903) Prec@1 60.156 (59.258) Prec@5 84.375 (81.067) Epoch: [45][5990/10010] Time 0.340 (0.327) Data 0.000 (0.001) Loss 1.5538 (1.7902) Prec@1 57.812 (59.259) Prec@5 85.156 (81.069) Epoch: [45][6000/10010] Time 0.320 (0.327) Data 0.001 (0.001) Loss 1.8017 (1.7903) Prec@1 64.062 (59.259) Prec@5 83.594 (81.068) Epoch: [45][6010/10010] Time 0.317 (0.327) Data 0.001 (0.001) Loss 1.8947 (1.7904) Prec@1 60.156 (59.255) Prec@5 77.344 (81.064) Epoch: [45][6020/10010] Time 0.322 (0.327) Data 0.000 (0.001) Loss 2.0858 (1.7904) Prec@1 52.344 (59.255) Prec@5 74.219 (81.063) Epoch: [45][6030/10010] Time 0.340 (0.327) Data 0.000 (0.001) Loss 1.7438 (1.7903) Prec@1 62.500 (59.257) Prec@5 83.594 (81.064) Epoch: [45][6040/10010] Time 0.338 (0.327) Data 0.000 (0.001) Loss 1.7557 (1.7902) Prec@1 59.375 (59.258) Prec@5 80.469 (81.066) Epoch: [45][6050/10010] Time 0.331 (0.327) Data 0.001 (0.001) Loss 1.9910 (1.7904) Prec@1 53.125 (59.255) Prec@5 79.688 (81.061) Epoch: [45][6060/10010] Time 0.342 (0.327) Data 0.001 (0.001) Loss 1.7248 (1.7904) Prec@1 58.594 (59.255) Prec@5 82.812 (81.061) Epoch: [45][6070/10010] Time 0.325 (0.327) Data 0.001 (0.001) Loss 1.4780 (1.7903) Prec@1 62.500 (59.255) Prec@5 82.812 (81.061) Epoch: [45][6080/10010] Time 0.316 (0.327) Data 0.000 (0.001) Loss 1.8010 (1.7904) Prec@1 56.250 (59.254) Prec@5 80.469 (81.061) Epoch: [45][6090/10010] Time 0.338 (0.327) Data 0.001 (0.001) Loss 1.9774 (1.7904) Prec@1 52.344 (59.253) Prec@5 75.781 (81.060) Epoch: [45][6100/10010] Time 0.319 (0.327) Data 0.001 (0.001) Loss 1.3861 (1.7903) Prec@1 66.406 (59.255) Prec@5 89.062 (81.062) Epoch: [45][6110/10010] Time 0.323 (0.327) Data 0.001 (0.001) Loss 1.8459 (1.7902) Prec@1 57.031 (59.258) Prec@5 81.250 (81.061) Epoch: [45][6120/10010] Time 0.314 (0.327) Data 0.001 (0.001) Loss 1.8872 (1.7903) Prec@1 54.688 (59.255) Prec@5 79.688 (81.060) Epoch: [45][6130/10010] Time 0.321 (0.327) Data 0.001 (0.001) Loss 1.6429 (1.7904) Prec@1 64.062 (59.253) Prec@5 83.594 (81.058) Epoch: [45][6140/10010] Time 0.336 (0.327) Data 0.000 (0.001) Loss 1.4668 (1.7904) Prec@1 67.188 (59.254) Prec@5 85.156 (81.059) Epoch: [45][6150/10010] Time 0.339 (0.327) Data 0.000 (0.001) Loss 1.5871 (1.7903) Prec@1 63.281 (59.254) Prec@5 82.812 (81.058) Epoch: [45][6160/10010] Time 0.315 (0.327) Data 0.001 (0.001) Loss 1.8448 (1.7903) Prec@1 53.906 (59.255) Prec@5 82.031 (81.060) Epoch: [45][6170/10010] Time 0.339 (0.327) Data 0.001 (0.001) Loss 1.5225 (1.7903) Prec@1 60.938 (59.254) Prec@5 85.938 (81.058) Epoch: [45][6180/10010] Time 0.321 (0.327) Data 0.000 (0.001) Loss 1.8606 (1.7902) Prec@1 54.688 (59.255) Prec@5 81.250 (81.059) Epoch: [45][6190/10010] Time 0.334 (0.327) Data 0.000 (0.001) Loss 1.3239 (1.7902) Prec@1 71.094 (59.257) Prec@5 86.719 (81.057) Epoch: [45][6200/10010] Time 0.338 (0.327) Data 0.000 (0.001) Loss 1.5995 (1.7901) Prec@1 58.594 (59.259) Prec@5 85.156 (81.059) Epoch: [45][6210/10010] Time 0.342 (0.327) Data 0.001 (0.001) Loss 2.0067 (1.7902) Prec@1 50.000 (59.254) Prec@5 78.125 (81.058) Epoch: [45][6220/10010] Time 0.316 (0.327) Data 0.001 (0.001) Loss 1.7486 (1.7903) Prec@1 58.594 (59.254) Prec@5 80.469 (81.056) Epoch: [45][6230/10010] Time 0.328 (0.327) Data 0.001 (0.001) Loss 1.7586 (1.7904) Prec@1 57.031 (59.254) Prec@5 79.688 (81.056) Epoch: [45][6240/10010] Time 0.343 (0.327) Data 0.001 (0.001) Loss 1.6002 (1.7903) Prec@1 67.188 (59.255) Prec@5 85.156 (81.055) Epoch: [45][6250/10010] Time 0.320 (0.327) Data 0.000 (0.001) Loss 2.0284 (1.7903) Prec@1 55.469 (59.256) Prec@5 73.438 (81.054) Epoch: [45][6260/10010] Time 0.318 (0.327) Data 0.001 (0.001) Loss 1.8304 (1.7903) Prec@1 57.812 (59.257) Prec@5 77.344 (81.054) Epoch: [45][6270/10010] Time 0.318 (0.327) Data 0.000 (0.001) Loss 1.8761 (1.7904) Prec@1 60.938 (59.256) Prec@5 80.469 (81.052) Epoch: [45][6280/10010] Time 0.337 (0.327) Data 0.000 (0.001) Loss 1.6580 (1.7904) Prec@1 56.250 (59.256) Prec@5 84.375 (81.054) Epoch: [45][6290/10010] Time 0.340 (0.327) Data 0.001 (0.001) Loss 1.9310 (1.7906) Prec@1 52.344 (59.252) Prec@5 77.344 (81.051) Epoch: [45][6300/10010] Time 0.315 (0.327) Data 0.001 (0.001) Loss 1.7401 (1.7906) Prec@1 56.250 (59.252) Prec@5 83.594 (81.051) Epoch: [45][6310/10010] Time 0.313 (0.327) Data 0.001 (0.001) Loss 1.3958 (1.7905) Prec@1 67.969 (59.255) Prec@5 90.625 (81.050) Epoch: [45][6320/10010] Time 0.330 (0.327) Data 0.001 (0.001) Loss 2.0422 (1.7905) Prec@1 56.250 (59.257) Prec@5 76.562 (81.051) Epoch: [45][6330/10010] Time 0.320 (0.327) Data 0.001 (0.001) Loss 1.7474 (1.7904) Prec@1 59.375 (59.260) Prec@5 81.250 (81.052) Epoch: [45][6340/10010] Time 0.317 (0.327) Data 0.001 (0.001) Loss 2.1407 (1.7905) Prec@1 56.250 (59.259) Prec@5 76.562 (81.050) Epoch: [45][6350/10010] Time 0.335 (0.327) Data 0.000 (0.001) Loss 1.8101 (1.7905) Prec@1 59.375 (59.259) Prec@5 82.031 (81.050) Epoch: [45][6360/10010] Time 0.321 (0.327) Data 0.001 (0.001) Loss 2.1232 (1.7904) Prec@1 52.344 (59.261) Prec@5 75.781 (81.050) Epoch: [45][6370/10010] Time 0.320 (0.327) Data 0.001 (0.001) Loss 1.6950 (1.7901) Prec@1 59.375 (59.266) Prec@5 86.719 (81.055) Epoch: [45][6380/10010] Time 0.317 (0.327) Data 0.000 (0.001) Loss 1.9756 (1.7901) Prec@1 57.031 (59.268) Prec@5 81.250 (81.055) Epoch: [45][6390/10010] Time 0.344 (0.327) Data 0.001 (0.001) Loss 2.0052 (1.7901) Prec@1 53.906 (59.267) Prec@5 83.594 (81.055) Epoch: [45][6400/10010] Time 0.327 (0.327) Data 0.001 (0.001) Loss 2.2146 (1.7901) Prec@1 47.656 (59.264) Prec@5 74.219 (81.054) Epoch: [45][6410/10010] Time 0.327 (0.327) Data 0.001 (0.001) Loss 2.0318 (1.7901) Prec@1 52.344 (59.266) Prec@5 75.781 (81.052) Epoch: [45][6420/10010] Time 0.328 (0.327) Data 0.001 (0.001) Loss 1.8812 (1.7902) Prec@1 57.812 (59.263) Prec@5 80.469 (81.051) Epoch: [45][6430/10010] Time 0.337 (0.327) Data 0.000 (0.001) Loss 2.0676 (1.7903) Prec@1 55.469 (59.262) Prec@5 77.344 (81.050) Epoch: [45][6440/10010] Time 0.313 (0.327) Data 0.000 (0.001) Loss 1.8550 (1.7903) Prec@1 55.469 (59.263) Prec@5 74.219 (81.050) Epoch: [45][6450/10010] Time 0.319 (0.327) Data 0.001 (0.001) Loss 2.2758 (1.7904) Prec@1 50.781 (59.258) Prec@5 73.438 (81.050) Epoch: [45][6460/10010] Time 0.325 (0.327) Data 0.000 (0.001) Loss 1.5513 (1.7905) Prec@1 63.281 (59.255) Prec@5 86.719 (81.049) Epoch: [45][6470/10010] Time 0.320 (0.327) Data 0.001 (0.001) Loss 2.0719 (1.7906) Prec@1 58.594 (59.254) Prec@5 75.781 (81.045) Epoch: [45][6480/10010] Time 0.324 (0.327) Data 0.001 (0.001) Loss 2.0205 (1.7908) Prec@1 53.125 (59.249) Prec@5 80.469 (81.043) Epoch: [45][6490/10010] Time 0.318 (0.327) Data 0.001 (0.001) Loss 2.0204 (1.7910) Prec@1 57.031 (59.246) Prec@5 76.562 (81.041) Epoch: [45][6500/10010] Time 0.337 (0.327) Data 0.000 (0.001) Loss 1.7826 (1.7911) Prec@1 59.375 (59.244) Prec@5 82.031 (81.039) Epoch: [45][6510/10010] Time 0.336 (0.327) Data 0.001 (0.001) Loss 1.8105 (1.7910) Prec@1 56.250 (59.245) Prec@5 79.688 (81.040) Epoch: [45][6520/10010] Time 0.335 (0.327) Data 0.001 (0.001) Loss 1.7690 (1.7910) Prec@1 56.250 (59.245) Prec@5 84.375 (81.041) Epoch: [45][6530/10010] Time 0.332 (0.327) Data 0.000 (0.001) Loss 1.8445 (1.7911) Prec@1 54.688 (59.244) Prec@5 78.125 (81.040) Epoch: [45][6540/10010] Time 0.332 (0.327) Data 0.001 (0.001) Loss 1.9177 (1.7911) Prec@1 58.594 (59.243) Prec@5 77.344 (81.038) Epoch: [45][6550/10010] Time 0.317 (0.327) Data 0.001 (0.001) Loss 1.9452 (1.7912) Prec@1 55.469 (59.242) Prec@5 78.906 (81.036) Epoch: [45][6560/10010] Time 0.313 (0.327) Data 0.001 (0.001) Loss 1.6969 (1.7911) Prec@1 57.031 (59.244) Prec@5 84.375 (81.038) Epoch: [45][6570/10010] Time 0.328 (0.327) Data 0.003 (0.001) Loss 1.8752 (1.7911) Prec@1 57.812 (59.246) Prec@5 75.781 (81.037) Epoch: [45][6580/10010] Time 0.303 (0.327) Data 0.001 (0.001) Loss 1.7967 (1.7911) Prec@1 59.375 (59.248) Prec@5 80.469 (81.037) Epoch: [45][6590/10010] Time 0.320 (0.327) Data 0.000 (0.001) Loss 1.6565 (1.7911) Prec@1 60.156 (59.245) Prec@5 85.156 (81.035) Epoch: [45][6600/10010] Time 0.324 (0.327) Data 0.000 (0.001) Loss 1.9807 (1.7910) Prec@1 57.812 (59.248) Prec@5 78.125 (81.036) Epoch: [45][6610/10010] Time 0.331 (0.327) Data 0.000 (0.001) Loss 1.6422 (1.7911) Prec@1 60.156 (59.246) Prec@5 81.250 (81.034) Epoch: [45][6620/10010] Time 0.338 (0.327) Data 0.001 (0.001) Loss 1.8691 (1.7911) Prec@1 57.812 (59.246) Prec@5 80.469 (81.033) Epoch: [45][6630/10010] Time 0.340 (0.327) Data 0.001 (0.001) Loss 1.7790 (1.7911) Prec@1 57.812 (59.246) Prec@5 79.688 (81.031) Epoch: [45][6640/10010] Time 0.322 (0.327) Data 0.000 (0.001) Loss 2.2105 (1.7911) Prec@1 54.688 (59.246) Prec@5 70.312 (81.031) Epoch: [45][6650/10010] Time 0.321 (0.327) Data 0.001 (0.001) Loss 1.9367 (1.7914) Prec@1 60.938 (59.243) Prec@5 81.250 (81.028) Epoch: [45][6660/10010] Time 0.321 (0.327) Data 0.000 (0.001) Loss 1.6368 (1.7914) Prec@1 56.250 (59.244) Prec@5 83.594 (81.027) Epoch: [45][6670/10010] Time 0.340 (0.327) Data 0.001 (0.001) Loss 1.4875 (1.7912) Prec@1 64.062 (59.245) Prec@5 87.500 (81.029) Epoch: [45][6680/10010] Time 0.316 (0.327) Data 0.000 (0.001) Loss 1.9020 (1.7911) Prec@1 54.688 (59.246) Prec@5 80.469 (81.031) Epoch: [45][6690/10010] Time 0.326 (0.327) Data 0.001 (0.001) Loss 2.0719 (1.7913) Prec@1 53.906 (59.243) Prec@5 75.781 (81.029) Epoch: [45][6700/10010] Time 0.333 (0.327) Data 0.001 (0.001) Loss 1.8038 (1.7914) Prec@1 57.031 (59.241) Prec@5 82.812 (81.029) Epoch: [45][6710/10010] Time 0.319 (0.327) Data 0.001 (0.001) Loss 2.2422 (1.7915) Prec@1 52.344 (59.240) Prec@5 73.438 (81.029) Epoch: [45][6720/10010] Time 0.335 (0.327) Data 0.000 (0.001) Loss 1.3922 (1.7917) Prec@1 68.750 (59.239) Prec@5 85.938 (81.025) Epoch: [45][6730/10010] Time 0.324 (0.327) Data 0.001 (0.001) Loss 1.8215 (1.7917) Prec@1 50.000 (59.237) Prec@5 76.562 (81.024) Epoch: [45][6740/10010] Time 0.318 (0.327) Data 0.001 (0.001) Loss 2.0980 (1.7918) Prec@1 49.219 (59.233) Prec@5 76.562 (81.021) Epoch: [45][6750/10010] Time 0.322 (0.327) Data 0.000 (0.001) Loss 1.8285 (1.7918) Prec@1 61.719 (59.233) Prec@5 81.250 (81.022) Epoch: [45][6760/10010] Time 0.330 (0.327) Data 0.000 (0.001) Loss 1.7348 (1.7919) Prec@1 60.156 (59.230) Prec@5 77.344 (81.018) Epoch: [45][6770/10010] Time 0.335 (0.327) Data 0.000 (0.001) Loss 1.6143 (1.7920) Prec@1 61.719 (59.229) Prec@5 82.812 (81.017) Epoch: [45][6780/10010] Time 0.323 (0.327) Data 0.000 (0.001) Loss 1.7664 (1.7921) Prec@1 59.375 (59.228) Prec@5 81.250 (81.017) Epoch: [45][6790/10010] Time 0.339 (0.327) Data 0.000 (0.001) Loss 2.0225 (1.7922) Prec@1 57.812 (59.224) Prec@5 75.000 (81.016) Epoch: [45][6800/10010] Time 0.329 (0.327) Data 0.001 (0.001) Loss 1.7234 (1.7921) Prec@1 56.250 (59.225) Prec@5 82.031 (81.017) Epoch: [45][6810/10010] Time 0.320 (0.327) Data 0.000 (0.001) Loss 1.8323 (1.7922) Prec@1 59.375 (59.225) Prec@5 82.031 (81.016) Epoch: [45][6820/10010] Time 0.325 (0.327) Data 0.000 (0.001) Loss 1.7006 (1.7922) Prec@1 62.500 (59.227) Prec@5 84.375 (81.016) Epoch: [45][6830/10010] Time 0.314 (0.327) Data 0.001 (0.001) Loss 2.0302 (1.7924) Prec@1 55.469 (59.225) Prec@5 75.781 (81.016) Epoch: [45][6840/10010] Time 0.340 (0.327) Data 0.001 (0.001) Loss 1.8025 (1.7924) Prec@1 55.469 (59.224) Prec@5 83.594 (81.014) Epoch: [45][6850/10010] Time 0.323 (0.327) Data 0.001 (0.001) Loss 1.9336 (1.7925) Prec@1 58.594 (59.221) Prec@5 79.688 (81.013) Epoch: [45][6860/10010] Time 0.339 (0.327) Data 0.001 (0.001) Loss 1.7083 (1.7926) Prec@1 57.812 (59.220) Prec@5 82.031 (81.011) Epoch: [45][6870/10010] Time 0.333 (0.327) Data 0.001 (0.001) Loss 1.8852 (1.7926) Prec@1 56.250 (59.220) Prec@5 82.812 (81.012) Epoch: [45][6880/10010] Time 0.332 (0.327) Data 0.001 (0.001) Loss 1.9622 (1.7925) Prec@1 53.125 (59.222) Prec@5 76.562 (81.012) Epoch: [45][6890/10010] Time 0.336 (0.327) Data 0.001 (0.001) Loss 2.0179 (1.7927) Prec@1 56.250 (59.219) Prec@5 78.125 (81.008) Epoch: [45][6900/10010] Time 0.325 (0.327) Data 0.001 (0.001) Loss 1.4369 (1.7925) Prec@1 67.188 (59.222) Prec@5 86.719 (81.010) Epoch: [45][6910/10010] Time 0.322 (0.327) Data 0.001 (0.001) Loss 1.7803 (1.7924) Prec@1 56.250 (59.222) Prec@5 84.375 (81.012) Epoch: [45][6920/10010] Time 0.322 (0.327) Data 0.000 (0.001) Loss 1.6157 (1.7926) Prec@1 60.938 (59.221) Prec@5 83.594 (81.009) Epoch: [45][6930/10010] Time 0.332 (0.327) Data 0.000 (0.001) Loss 1.7859 (1.7926) Prec@1 58.594 (59.218) Prec@5 78.125 (81.007) Epoch: [45][6940/10010] Time 0.324 (0.327) Data 0.001 (0.001) Loss 1.6981 (1.7925) Prec@1 62.500 (59.220) Prec@5 79.688 (81.007) Epoch: [45][6950/10010] Time 0.323 (0.327) Data 0.001 (0.001) Loss 1.5511 (1.7926) Prec@1 60.938 (59.219) Prec@5 82.031 (81.007) Epoch: [45][6960/10010] Time 0.342 (0.327) Data 0.000 (0.001) Loss 1.8556 (1.7926) Prec@1 56.250 (59.217) Prec@5 80.469 (81.007) Epoch: [45][6970/10010] Time 0.332 (0.327) Data 0.000 (0.001) Loss 1.8718 (1.7926) Prec@1 60.938 (59.215) Prec@5 76.562 (81.006) Epoch: [45][6980/10010] Time 0.333 (0.327) Data 0.000 (0.001) Loss 1.9189 (1.7927) Prec@1 52.344 (59.213) Prec@5 82.031 (81.005) Epoch: [45][6990/10010] Time 0.332 (0.327) Data 0.000 (0.001) Loss 1.9480 (1.7928) Prec@1 58.594 (59.213) Prec@5 80.469 (81.003) Epoch: [45][7000/10010] Time 0.322 (0.327) Data 0.001 (0.001) Loss 1.8468 (1.7929) Prec@1 55.469 (59.213) Prec@5 78.125 (81.002) Epoch: [45][7010/10010] Time 0.332 (0.327) Data 0.001 (0.001) Loss 1.8568 (1.7929) Prec@1 60.156 (59.213) Prec@5 81.250 (81.000) Epoch: [45][7020/10010] Time 0.342 (0.327) Data 0.000 (0.001) Loss 1.6692 (1.7928) Prec@1 58.594 (59.213) Prec@5 81.250 (81.002) Epoch: [45][7030/10010] Time 0.323 (0.327) Data 0.001 (0.001) Loss 1.9471 (1.7928) Prec@1 59.375 (59.213) Prec@5 75.781 (81.003) Epoch: [45][7040/10010] Time 0.336 (0.327) Data 0.001 (0.001) Loss 1.8476 (1.7928) Prec@1 55.469 (59.212) Prec@5 80.469 (81.003) Epoch: [45][7050/10010] Time 0.312 (0.327) Data 0.000 (0.001) Loss 1.9269 (1.7929) Prec@1 57.031 (59.213) Prec@5 77.344 (81.002) Epoch: [45][7060/10010] Time 0.319 (0.327) Data 0.001 (0.001) Loss 1.7548 (1.7929) Prec@1 60.938 (59.212) Prec@5 83.594 (81.002) Epoch: [45][7070/10010] Time 0.339 (0.327) Data 0.001 (0.001) Loss 1.9483 (1.7930) Prec@1 60.938 (59.211) Prec@5 80.469 (81.001) Epoch: [45][7080/10010] Time 0.325 (0.327) Data 0.001 (0.001) Loss 1.8421 (1.7930) Prec@1 57.031 (59.210) Prec@5 76.562 (81.002) Epoch: [45][7090/10010] Time 0.340 (0.327) Data 0.001 (0.001) Loss 1.9316 (1.7931) Prec@1 57.812 (59.210) Prec@5 78.906 (81.000) Epoch: [45][7100/10010] Time 0.319 (0.327) Data 0.000 (0.001) Loss 2.1299 (1.7932) Prec@1 51.562 (59.208) Prec@5 78.906 (81.000) Epoch: [45][7110/10010] Time 0.318 (0.327) Data 0.000 (0.001) Loss 1.9293 (1.7933) Prec@1 53.906 (59.205) Prec@5 78.125 (81.000) Epoch: [45][7120/10010] Time 0.336 (0.327) Data 0.001 (0.001) Loss 1.5866 (1.7932) Prec@1 66.406 (59.209) Prec@5 84.375 (81.001) Epoch: [45][7130/10010] Time 0.325 (0.327) Data 0.000 (0.001) Loss 1.9856 (1.7933) Prec@1 57.812 (59.208) Prec@5 75.781 (80.999) Epoch: [45][7140/10010] Time 0.318 (0.327) Data 0.001 (0.001) Loss 1.9206 (1.7934) Prec@1 57.812 (59.208) Prec@5 77.344 (80.998) Epoch: [45][7150/10010] Time 0.315 (0.327) Data 0.001 (0.001) Loss 2.3013 (1.7935) Prec@1 51.562 (59.208) Prec@5 75.000 (80.997) Epoch: [45][7160/10010] Time 0.320 (0.327) Data 0.001 (0.001) Loss 1.7301 (1.7934) Prec@1 57.031 (59.205) Prec@5 82.031 (80.997) Epoch: [45][7170/10010] Time 0.316 (0.327) Data 0.001 (0.001) Loss 2.0650 (1.7934) Prec@1 50.000 (59.205) Prec@5 77.344 (80.997) Epoch: [45][7180/10010] Time 0.336 (0.327) Data 0.001 (0.001) Loss 1.8504 (1.7935) Prec@1 61.719 (59.204) Prec@5 79.688 (80.996) Epoch: [45][7190/10010] Time 0.331 (0.327) Data 0.000 (0.001) Loss 1.8864 (1.7934) Prec@1 62.500 (59.206) Prec@5 75.000 (80.997) Epoch: [45][7200/10010] Time 0.340 (0.327) Data 0.000 (0.001) Loss 1.8793 (1.7934) Prec@1 59.375 (59.206) Prec@5 78.125 (80.997) Epoch: [45][7210/10010] Time 0.334 (0.327) Data 0.000 (0.001) Loss 1.8470 (1.7935) Prec@1 60.156 (59.204) Prec@5 80.469 (80.995) Epoch: [45][7220/10010] Time 0.337 (0.327) Data 0.000 (0.001) Loss 1.6955 (1.7933) Prec@1 64.844 (59.208) Prec@5 82.031 (80.997) Epoch: [45][7230/10010] Time 0.329 (0.327) Data 0.001 (0.001) Loss 1.7840 (1.7933) Prec@1 64.844 (59.208) Prec@5 82.812 (80.998) Epoch: [45][7240/10010] Time 0.324 (0.327) Data 0.000 (0.001) Loss 1.6361 (1.7932) Prec@1 61.719 (59.209) Prec@5 80.469 (80.999) Epoch: [45][7250/10010] Time 0.325 (0.327) Data 0.001 (0.001) Loss 1.9931 (1.7932) Prec@1 57.031 (59.210) Prec@5 77.344 (80.998) Epoch: [45][7260/10010] Time 0.328 (0.327) Data 0.001 (0.001) Loss 2.1297 (1.7932) Prec@1 50.000 (59.210) Prec@5 80.469 (80.998) Epoch: [45][7270/10010] Time 0.320 (0.327) Data 0.001 (0.001) Loss 1.8441 (1.7933) Prec@1 62.500 (59.208) Prec@5 79.688 (80.997) Epoch: [45][7280/10010] Time 0.318 (0.327) Data 0.001 (0.001) Loss 2.0156 (1.7933) Prec@1 58.594 (59.210) Prec@5 72.656 (80.997) Epoch: [45][7290/10010] Time 0.324 (0.327) Data 0.001 (0.001) Loss 1.8239 (1.7931) Prec@1 57.812 (59.212) Prec@5 78.906 (80.996) Epoch: [45][7300/10010] Time 0.328 (0.327) Data 0.000 (0.001) Loss 1.5595 (1.7931) Prec@1 64.062 (59.212) Prec@5 85.156 (80.997) Epoch: [45][7310/10010] Time 0.317 (0.327) Data 0.001 (0.001) Loss 2.0236 (1.7931) Prec@1 61.719 (59.215) Prec@5 79.688 (80.997) Epoch: [45][7320/10010] Time 0.319 (0.327) Data 0.001 (0.001) Loss 1.7273 (1.7931) Prec@1 59.375 (59.217) Prec@5 85.156 (80.998) Epoch: [45][7330/10010] Time 0.332 (0.327) Data 0.001 (0.001) Loss 1.8147 (1.7931) Prec@1 60.938 (59.215) Prec@5 80.469 (80.997) Epoch: [45][7340/10010] Time 0.334 (0.327) Data 0.000 (0.001) Loss 1.6504 (1.7931) Prec@1 57.812 (59.214) Prec@5 85.156 (80.998) Epoch: [45][7350/10010] Time 0.327 (0.327) Data 0.000 (0.001) Loss 1.7289 (1.7930) Prec@1 60.938 (59.215) Prec@5 82.031 (80.999) Epoch: [45][7360/10010] Time 0.337 (0.327) Data 0.000 (0.001) Loss 1.6354 (1.7931) Prec@1 64.844 (59.213) Prec@5 83.594 (80.998) Epoch: [45][7370/10010] Time 0.337 (0.327) Data 0.001 (0.001) Loss 1.6578 (1.7931) Prec@1 58.594 (59.212) Prec@5 85.156 (80.998) Epoch: [45][7380/10010] Time 0.323 (0.327) Data 0.000 (0.001) Loss 1.6938 (1.7931) Prec@1 63.281 (59.215) Prec@5 79.688 (80.999) Epoch: [45][7390/10010] Time 0.327 (0.327) Data 0.001 (0.001) Loss 1.9143 (1.7931) Prec@1 57.812 (59.214) Prec@5 77.344 (80.999) Epoch: [45][7400/10010] Time 0.338 (0.327) Data 0.000 (0.001) Loss 1.4750 (1.7930) Prec@1 62.500 (59.215) Prec@5 89.062 (81.000) Epoch: [45][7410/10010] Time 0.336 (0.327) Data 0.000 (0.001) Loss 1.5714 (1.7930) Prec@1 59.375 (59.212) Prec@5 85.938 (81.000) Epoch: [45][7420/10010] Time 0.328 (0.327) Data 0.001 (0.001) Loss 1.6869 (1.7931) Prec@1 58.594 (59.209) Prec@5 85.156 (80.999) Epoch: [45][7430/10010] Time 0.337 (0.327) Data 0.001 (0.001) Loss 1.5557 (1.7931) Prec@1 67.969 (59.207) Prec@5 83.594 (80.999) Epoch: [45][7440/10010] Time 0.338 (0.327) Data 0.000 (0.001) Loss 1.9027 (1.7931) Prec@1 56.250 (59.207) Prec@5 74.219 (80.998) Epoch: [45][7450/10010] Time 0.321 (0.327) Data 0.000 (0.001) Loss 1.6630 (1.7931) Prec@1 61.719 (59.207) Prec@5 83.594 (80.996) Epoch: [45][7460/10010] Time 0.340 (0.327) Data 0.000 (0.001) Loss 1.8435 (1.7931) Prec@1 58.594 (59.208) Prec@5 85.156 (80.997) Epoch: [45][7470/10010] Time 0.336 (0.327) Data 0.000 (0.001) Loss 1.6969 (1.7931) Prec@1 64.844 (59.209) Prec@5 81.250 (80.997) Epoch: [45][7480/10010] Time 0.338 (0.327) Data 0.001 (0.001) Loss 1.4763 (1.7931) Prec@1 64.844 (59.210) Prec@5 87.500 (80.997) Epoch: [45][7490/10010] Time 0.313 (0.327) Data 0.001 (0.001) Loss 1.5718 (1.7931) Prec@1 65.625 (59.209) Prec@5 81.250 (80.995) Epoch: [45][7500/10010] Time 0.333 (0.327) Data 0.001 (0.001) Loss 1.8340 (1.7932) Prec@1 60.156 (59.206) Prec@5 79.688 (80.994) Epoch: [45][7510/10010] Time 0.318 (0.327) Data 0.001 (0.001) Loss 2.2406 (1.7932) Prec@1 46.875 (59.203) Prec@5 71.875 (80.992) Epoch: [45][7520/10010] Time 0.313 (0.327) Data 0.000 (0.001) Loss 1.8919 (1.7932) Prec@1 61.719 (59.205) Prec@5 79.688 (80.992) Epoch: [45][7530/10010] Time 0.329 (0.327) Data 0.001 (0.001) Loss 1.6714 (1.7932) Prec@1 60.156 (59.205) Prec@5 83.594 (80.992) Epoch: [45][7540/10010] Time 0.331 (0.327) Data 0.001 (0.001) Loss 1.7032 (1.7934) Prec@1 59.375 (59.203) Prec@5 82.812 (80.990) Epoch: [45][7550/10010] Time 0.336 (0.327) Data 0.001 (0.001) Loss 1.7335 (1.7935) Prec@1 58.594 (59.203) Prec@5 81.250 (80.990) Epoch: [45][7560/10010] Time 0.341 (0.327) Data 0.000 (0.001) Loss 1.7114 (1.7935) Prec@1 59.375 (59.203) Prec@5 82.031 (80.988) Epoch: [45][7570/10010] Time 0.319 (0.327) Data 0.000 (0.001) Loss 1.9158 (1.7935) Prec@1 60.938 (59.204) Prec@5 77.344 (80.988) Epoch: [45][7580/10010] Time 0.310 (0.327) Data 0.001 (0.001) Loss 1.9923 (1.7935) Prec@1 56.250 (59.205) Prec@5 78.125 (80.987) Epoch: [45][7590/10010] Time 0.319 (0.327) Data 0.001 (0.001) Loss 2.0258 (1.7937) Prec@1 52.344 (59.203) Prec@5 80.469 (80.987) Epoch: [45][7600/10010] Time 0.320 (0.327) Data 0.001 (0.001) Loss 1.9120 (1.7938) Prec@1 59.375 (59.202) Prec@5 78.125 (80.986) Epoch: [45][7610/10010] Time 0.333 (0.327) Data 0.001 (0.001) Loss 1.6676 (1.7937) Prec@1 58.594 (59.202) Prec@5 83.594 (80.988) Epoch: [45][7620/10010] Time 0.337 (0.327) Data 0.001 (0.001) Loss 1.9137 (1.7938) Prec@1 57.812 (59.201) Prec@5 78.125 (80.987) Epoch: [45][7630/10010] Time 0.327 (0.327) Data 0.000 (0.001) Loss 1.7655 (1.7937) Prec@1 60.938 (59.203) Prec@5 82.031 (80.988) Epoch: [45][7640/10010] Time 0.331 (0.327) Data 0.001 (0.001) Loss 1.7579 (1.7937) Prec@1 60.938 (59.205) Prec@5 82.031 (80.988) Epoch: [45][7650/10010] Time 0.313 (0.327) Data 0.001 (0.001) Loss 1.8767 (1.7937) Prec@1 55.469 (59.203) Prec@5 81.250 (80.988) Epoch: [45][7660/10010] Time 0.318 (0.327) Data 0.000 (0.001) Loss 1.7753 (1.7936) Prec@1 58.594 (59.204) Prec@5 82.812 (80.990) Epoch: [45][7670/10010] Time 0.316 (0.327) Data 0.001 (0.001) Loss 1.6115 (1.7936) Prec@1 64.844 (59.205) Prec@5 82.812 (80.989) Epoch: [45][7680/10010] Time 0.337 (0.327) Data 0.000 (0.001) Loss 1.4929 (1.7936) Prec@1 63.281 (59.205) Prec@5 84.375 (80.988) Epoch: [45][7690/10010] Time 0.315 (0.327) Data 0.001 (0.001) Loss 1.7911 (1.7936) Prec@1 57.031 (59.204) Prec@5 83.594 (80.989) Epoch: [45][7700/10010] Time 0.324 (0.327) Data 0.001 (0.001) Loss 1.9094 (1.7938) Prec@1 56.250 (59.201) Prec@5 76.562 (80.987) Epoch: [45][7710/10010] Time 0.317 (0.327) Data 0.001 (0.001) Loss 1.9308 (1.7939) Prec@1 57.031 (59.201) Prec@5 76.562 (80.985) Epoch: [45][7720/10010] Time 0.326 (0.327) Data 0.001 (0.001) Loss 1.9600 (1.7939) Prec@1 60.156 (59.200) Prec@5 76.562 (80.985) Epoch: [45][7730/10010] Time 0.319 (0.327) Data 0.000 (0.001) Loss 1.6266 (1.7939) Prec@1 61.719 (59.200) Prec@5 81.250 (80.985) Epoch: [45][7740/10010] Time 0.337 (0.327) Data 0.001 (0.001) Loss 1.9650 (1.7939) Prec@1 56.250 (59.199) Prec@5 81.250 (80.985) Epoch: [45][7750/10010] Time 0.333 (0.327) Data 0.001 (0.001) Loss 1.9332 (1.7939) Prec@1 62.500 (59.200) Prec@5 78.906 (80.986) Epoch: [45][7760/10010] Time 0.328 (0.327) Data 0.000 (0.001) Loss 1.6627 (1.7939) Prec@1 60.938 (59.199) Prec@5 85.938 (80.986) Epoch: [45][7770/10010] Time 0.338 (0.327) Data 0.000 (0.001) Loss 1.9087 (1.7939) Prec@1 50.781 (59.197) Prec@5 78.906 (80.985) Epoch: [45][7780/10010] Time 0.334 (0.327) Data 0.000 (0.001) Loss 1.6961 (1.7939) Prec@1 67.188 (59.200) Prec@5 82.812 (80.987) Epoch: [45][7790/10010] Time 0.315 (0.327) Data 0.001 (0.001) Loss 1.9564 (1.7939) Prec@1 57.812 (59.200) Prec@5 79.688 (80.988) Epoch: [45][7800/10010] Time 0.336 (0.327) Data 0.001 (0.001) Loss 1.6903 (1.7941) Prec@1 57.031 (59.196) Prec@5 78.906 (80.984) Epoch: [45][7810/10010] Time 0.338 (0.327) Data 0.001 (0.001) Loss 1.7681 (1.7941) Prec@1 61.719 (59.195) Prec@5 80.469 (80.984) Epoch: [45][7820/10010] Time 0.310 (0.327) Data 0.000 (0.001) Loss 1.7958 (1.7942) Prec@1 57.031 (59.192) Prec@5 83.594 (80.982) Epoch: [45][7830/10010] Time 0.333 (0.327) Data 0.001 (0.001) Loss 1.5935 (1.7941) Prec@1 58.594 (59.193) Prec@5 83.594 (80.983) Epoch: [45][7840/10010] Time 0.319 (0.327) Data 0.000 (0.001) Loss 1.7620 (1.7940) Prec@1 58.594 (59.196) Prec@5 82.812 (80.985) Epoch: [45][7850/10010] Time 0.326 (0.327) Data 0.001 (0.001) Loss 1.5079 (1.7939) Prec@1 67.188 (59.198) Prec@5 85.938 (80.987) Epoch: [45][7860/10010] Time 0.317 (0.327) Data 0.001 (0.001) Loss 1.8381 (1.7938) Prec@1 53.906 (59.196) Prec@5 83.594 (80.987) Epoch: [45][7870/10010] Time 0.333 (0.327) Data 0.001 (0.001) Loss 2.0487 (1.7939) Prec@1 53.125 (59.195) Prec@5 75.000 (80.986) Epoch: [45][7880/10010] Time 0.317 (0.327) Data 0.001 (0.001) Loss 1.7541 (1.7938) Prec@1 60.156 (59.196) Prec@5 79.688 (80.987) Epoch: [45][7890/10010] Time 0.332 (0.327) Data 0.001 (0.001) Loss 1.6001 (1.7939) Prec@1 64.062 (59.194) Prec@5 82.031 (80.984) Epoch: [45][7900/10010] Time 0.319 (0.327) Data 0.000 (0.001) Loss 1.9805 (1.7938) Prec@1 57.812 (59.197) Prec@5 75.781 (80.985) Epoch: [45][7910/10010] Time 0.320 (0.327) Data 0.001 (0.001) Loss 1.8493 (1.7938) Prec@1 57.031 (59.196) Prec@5 78.906 (80.984) Epoch: [45][7920/10010] Time 0.322 (0.327) Data 0.000 (0.001) Loss 1.8948 (1.7938) Prec@1 59.375 (59.197) Prec@5 82.031 (80.984) Epoch: [45][7930/10010] Time 0.336 (0.327) Data 0.001 (0.001) Loss 1.5607 (1.7938) Prec@1 61.719 (59.197) Prec@5 86.719 (80.984) Epoch: [45][7940/10010] Time 0.318 (0.327) Data 0.001 (0.001) Loss 1.8976 (1.7937) Prec@1 56.250 (59.199) Prec@5 83.594 (80.985) Epoch: [45][7950/10010] Time 0.332 (0.327) Data 0.000 (0.001) Loss 1.7501 (1.7937) Prec@1 60.938 (59.201) Prec@5 82.812 (80.985) Epoch: [45][7960/10010] Time 0.310 (0.327) Data 0.001 (0.001) Loss 1.9728 (1.7936) Prec@1 50.781 (59.201) Prec@5 79.688 (80.986) Epoch: [45][7970/10010] Time 0.337 (0.327) Data 0.000 (0.001) Loss 2.3848 (1.7937) Prec@1 56.250 (59.199) Prec@5 75.000 (80.985) Epoch: [45][7980/10010] Time 0.327 (0.327) Data 0.001 (0.001) Loss 1.3841 (1.7937) Prec@1 67.188 (59.199) Prec@5 88.281 (80.985) Epoch: [45][7990/10010] Time 0.320 (0.327) Data 0.000 (0.001) Loss 1.6356 (1.7938) Prec@1 61.719 (59.198) Prec@5 83.594 (80.984) Epoch: [45][8000/10010] Time 0.332 (0.327) Data 0.001 (0.001) Loss 1.6525 (1.7938) Prec@1 60.938 (59.196) Prec@5 81.250 (80.983) Epoch: [45][8010/10010] Time 0.322 (0.327) Data 0.000 (0.001) Loss 1.6564 (1.7938) Prec@1 64.062 (59.197) Prec@5 80.469 (80.982) Epoch: [45][8020/10010] Time 0.325 (0.327) Data 0.001 (0.001) Loss 1.5574 (1.7939) Prec@1 63.281 (59.195) Prec@5 84.375 (80.980) Epoch: [45][8030/10010] Time 0.319 (0.327) Data 0.000 (0.001) Loss 1.4945 (1.7938) Prec@1 64.844 (59.196) Prec@5 87.500 (80.982) Epoch: [45][8040/10010] Time 0.331 (0.327) Data 0.000 (0.001) Loss 1.8411 (1.7939) Prec@1 60.938 (59.195) Prec@5 82.812 (80.982) Epoch: [45][8050/10010] Time 0.319 (0.327) Data 0.000 (0.001) Loss 1.4932 (1.7940) Prec@1 60.938 (59.195) Prec@5 85.156 (80.981) Epoch: [45][8060/10010] Time 0.333 (0.327) Data 0.001 (0.001) Loss 1.7685 (1.7939) Prec@1 57.031 (59.195) Prec@5 80.469 (80.979) Epoch: [45][8070/10010] Time 0.315 (0.327) Data 0.001 (0.001) Loss 1.6703 (1.7940) Prec@1 59.375 (59.194) Prec@5 82.812 (80.977) Epoch: [45][8080/10010] Time 0.338 (0.327) Data 0.001 (0.001) Loss 1.4521 (1.7941) Prec@1 66.406 (59.195) Prec@5 87.500 (80.977) Epoch: [45][8090/10010] Time 0.326 (0.327) Data 0.000 (0.001) Loss 1.8299 (1.7940) Prec@1 60.156 (59.195) Prec@5 82.812 (80.977) Epoch: [45][8100/10010] Time 0.325 (0.327) Data 0.001 (0.001) Loss 1.7119 (1.7940) Prec@1 62.500 (59.196) Prec@5 82.031 (80.977) Epoch: [45][8110/10010] Time 0.315 (0.327) Data 0.001 (0.001) Loss 1.9500 (1.7940) Prec@1 50.781 (59.195) Prec@5 78.906 (80.978) Epoch: [45][8120/10010] Time 0.318 (0.327) Data 0.000 (0.001) Loss 1.7423 (1.7941) Prec@1 61.719 (59.194) Prec@5 83.594 (80.976) Epoch: [45][8130/10010] Time 0.333 (0.327) Data 0.001 (0.001) Loss 1.5732 (1.7941) Prec@1 62.500 (59.193) Prec@5 82.812 (80.977) Epoch: [45][8140/10010] Time 0.326 (0.327) Data 0.001 (0.001) Loss 1.8653 (1.7942) Prec@1 57.812 (59.193) Prec@5 82.812 (80.976) Epoch: [45][8150/10010] Time 0.324 (0.327) Data 0.001 (0.001) Loss 1.9112 (1.7941) Prec@1 54.688 (59.191) Prec@5 80.469 (80.979) Epoch: [45][8160/10010] Time 0.316 (0.327) Data 0.001 (0.001) Loss 1.4882 (1.7941) Prec@1 68.750 (59.192) Prec@5 87.500 (80.978) Epoch: [45][8170/10010] Time 0.318 (0.326) Data 0.001 (0.001) Loss 1.6440 (1.7941) Prec@1 64.844 (59.193) Prec@5 82.031 (80.977) Epoch: [45][8180/10010] Time 0.336 (0.327) Data 0.001 (0.001) Loss 1.8459 (1.7942) Prec@1 61.719 (59.192) Prec@5 79.688 (80.976) Epoch: [45][8190/10010] Time 0.327 (0.327) Data 0.001 (0.001) Loss 1.8111 (1.7942) Prec@1 58.594 (59.190) Prec@5 78.125 (80.975) Epoch: [45][8200/10010] Time 0.327 (0.327) Data 0.001 (0.001) Loss 1.7386 (1.7941) Prec@1 57.031 (59.193) Prec@5 81.250 (80.977) Epoch: [45][8210/10010] Time 0.318 (0.327) Data 0.001 (0.001) Loss 1.6278 (1.7941) Prec@1 57.812 (59.190) Prec@5 81.250 (80.976) Epoch: [45][8220/10010] Time 0.322 (0.327) Data 0.001 (0.001) Loss 1.6330 (1.7941) Prec@1 59.375 (59.189) Prec@5 79.688 (80.976) Epoch: [45][8230/10010] Time 0.322 (0.327) Data 0.001 (0.001) Loss 1.9174 (1.7942) Prec@1 59.375 (59.189) Prec@5 82.812 (80.977) Epoch: [45][8240/10010] Time 0.335 (0.327) Data 0.001 (0.001) Loss 1.8685 (1.7941) Prec@1 53.125 (59.192) Prec@5 80.469 (80.977) Epoch: [45][8250/10010] Time 0.318 (0.327) Data 0.000 (0.001) Loss 2.1287 (1.7940) Prec@1 51.562 (59.192) Prec@5 77.344 (80.978) Epoch: [45][8260/10010] Time 0.332 (0.327) Data 0.001 (0.001) Loss 1.7974 (1.7941) Prec@1 60.938 (59.190) Prec@5 83.594 (80.976) Epoch: [45][8270/10010] Time 0.329 (0.327) Data 0.001 (0.001) Loss 1.8076 (1.7942) Prec@1 60.156 (59.189) Prec@5 79.688 (80.974) Epoch: [45][8280/10010] Time 0.323 (0.327) Data 0.001 (0.001) Loss 1.7649 (1.7944) Prec@1 60.156 (59.187) Prec@5 80.469 (80.971) Epoch: [45][8290/10010] Time 0.330 (0.327) Data 0.001 (0.001) Loss 1.7283 (1.7945) Prec@1 62.500 (59.187) Prec@5 79.688 (80.970) Epoch: [45][8300/10010] Time 0.339 (0.327) Data 0.001 (0.001) Loss 1.8531 (1.7946) Prec@1 60.938 (59.187) Prec@5 75.781 (80.968) Epoch: [45][8310/10010] Time 0.317 (0.326) Data 0.000 (0.001) Loss 1.8076 (1.7945) Prec@1 59.375 (59.190) Prec@5 79.688 (80.967) Epoch: [45][8320/10010] Time 0.318 (0.326) Data 0.000 (0.001) Loss 1.9043 (1.7946) Prec@1 54.688 (59.188) Prec@5 81.250 (80.967) Epoch: [45][8330/10010] Time 0.331 (0.327) Data 0.000 (0.001) Loss 1.7002 (1.7946) Prec@1 57.812 (59.187) Prec@5 82.812 (80.968) Epoch: [45][8340/10010] Time 0.322 (0.327) Data 0.001 (0.001) Loss 1.8545 (1.7947) Prec@1 51.562 (59.184) Prec@5 78.906 (80.968) Epoch: [45][8350/10010] Time 0.315 (0.326) Data 0.001 (0.001) Loss 2.2512 (1.7948) Prec@1 53.125 (59.181) Prec@5 74.219 (80.967) Epoch: [45][8360/10010] Time 0.327 (0.326) Data 0.001 (0.001) Loss 1.9091 (1.7948) Prec@1 60.938 (59.181) Prec@5 78.906 (80.969) Epoch: [45][8370/10010] Time 0.338 (0.327) Data 0.001 (0.001) Loss 1.6196 (1.7949) Prec@1 61.719 (59.179) Prec@5 83.594 (80.967) Epoch: [45][8380/10010] Time 0.317 (0.327) Data 0.001 (0.001) Loss 1.7171 (1.7948) Prec@1 56.250 (59.179) Prec@5 82.031 (80.968) Epoch: [45][8390/10010] Time 0.315 (0.326) Data 0.001 (0.001) Loss 1.9629 (1.7949) Prec@1 57.812 (59.178) Prec@5 77.344 (80.965) Epoch: [45][8400/10010] Time 0.312 (0.326) Data 0.001 (0.001) Loss 1.9895 (1.7949) Prec@1 56.250 (59.178) Prec@5 77.344 (80.965) Epoch: [45][8410/10010] Time 0.327 (0.326) Data 0.001 (0.001) Loss 1.9862 (1.7949) Prec@1 52.344 (59.176) Prec@5 78.906 (80.964) Epoch: [45][8420/10010] Time 0.328 (0.326) Data 0.000 (0.001) Loss 1.7247 (1.7950) Prec@1 60.938 (59.175) Prec@5 81.250 (80.964) Epoch: [45][8430/10010] Time 0.318 (0.326) Data 0.001 (0.001) Loss 1.9026 (1.7950) Prec@1 56.250 (59.175) Prec@5 80.469 (80.964) Epoch: [45][8440/10010] Time 0.319 (0.326) Data 0.001 (0.001) Loss 1.9508 (1.7950) Prec@1 56.250 (59.175) Prec@5 81.250 (80.964) Epoch: [45][8450/10010] Time 0.316 (0.326) Data 0.001 (0.001) Loss 1.3892 (1.7949) Prec@1 68.750 (59.176) Prec@5 84.375 (80.965) Epoch: [45][8460/10010] Time 0.316 (0.326) Data 0.001 (0.001) Loss 1.7768 (1.7950) Prec@1 57.812 (59.174) Prec@5 78.125 (80.965) Epoch: [45][8470/10010] Time 0.332 (0.326) Data 0.001 (0.001) Loss 1.9758 (1.7950) Prec@1 54.688 (59.173) Prec@5 77.344 (80.966) Epoch: [45][8480/10010] Time 0.315 (0.326) Data 0.000 (0.001) Loss 2.0628 (1.7950) Prec@1 52.344 (59.174) Prec@5 72.656 (80.966) Epoch: [45][8490/10010] Time 0.333 (0.326) Data 0.000 (0.001) Loss 2.0321 (1.7950) Prec@1 56.250 (59.174) Prec@5 78.906 (80.966) Epoch: [45][8500/10010] Time 0.336 (0.326) Data 0.000 (0.001) Loss 1.8644 (1.7950) Prec@1 59.375 (59.174) Prec@5 78.906 (80.965) Epoch: [45][8510/10010] Time 0.333 (0.326) Data 0.000 (0.001) Loss 2.2500 (1.7951) Prec@1 60.938 (59.174) Prec@5 75.000 (80.963) Epoch: [45][8520/10010] Time 0.334 (0.326) Data 0.000 (0.001) Loss 2.0611 (1.7952) Prec@1 52.344 (59.174) Prec@5 78.906 (80.962) Epoch: [45][8530/10010] Time 0.313 (0.327) Data 0.000 (0.001) Loss 1.8433 (1.7951) Prec@1 57.812 (59.175) Prec@5 79.688 (80.963) Epoch: [45][8540/10010] Time 0.322 (0.327) Data 0.000 (0.001) Loss 2.2601 (1.7951) Prec@1 54.688 (59.176) Prec@5 71.094 (80.964) Epoch: [45][8550/10010] Time 0.342 (0.327) Data 0.001 (0.001) Loss 1.8361 (1.7950) Prec@1 54.688 (59.178) Prec@5 78.906 (80.965) Epoch: [45][8560/10010] Time 0.313 (0.327) Data 0.001 (0.001) Loss 1.7735 (1.7951) Prec@1 53.906 (59.176) Prec@5 81.250 (80.964) Epoch: [45][8570/10010] Time 0.314 (0.327) Data 0.001 (0.001) Loss 1.9781 (1.7950) Prec@1 54.688 (59.177) Prec@5 75.000 (80.964) Epoch: [45][8580/10010] Time 0.331 (0.327) Data 0.001 (0.001) Loss 1.9164 (1.7951) Prec@1 55.469 (59.175) Prec@5 82.812 (80.963) Epoch: [45][8590/10010] Time 0.323 (0.327) Data 0.001 (0.001) Loss 1.7705 (1.7952) Prec@1 55.469 (59.171) Prec@5 80.469 (80.962) Epoch: [45][8600/10010] Time 0.323 (0.327) Data 0.000 (0.001) Loss 1.8996 (1.7952) Prec@1 51.562 (59.172) Prec@5 79.688 (80.961) Epoch: [45][8610/10010] Time 0.332 (0.327) Data 0.001 (0.001) Loss 1.9454 (1.7952) Prec@1 53.906 (59.172) Prec@5 79.688 (80.961) Epoch: [45][8620/10010] Time 0.333 (0.327) Data 0.001 (0.001) Loss 1.9454 (1.7953) Prec@1 60.156 (59.172) Prec@5 78.906 (80.961) Epoch: [45][8630/10010] Time 0.320 (0.327) Data 0.001 (0.001) Loss 1.7753 (1.7953) Prec@1 60.156 (59.173) Prec@5 79.688 (80.961) Epoch: [45][8640/10010] Time 0.315 (0.327) Data 0.001 (0.001) Loss 1.8612 (1.7953) Prec@1 53.906 (59.169) Prec@5 77.344 (80.959) Epoch: [45][8650/10010] Time 0.338 (0.327) Data 0.001 (0.001) Loss 1.8438 (1.7953) Prec@1 55.469 (59.170) Prec@5 79.688 (80.960) Epoch: [45][8660/10010] Time 0.333 (0.327) Data 0.000 (0.001) Loss 1.9381 (1.7953) Prec@1 58.594 (59.172) Prec@5 79.688 (80.961) Epoch: [45][8670/10010] Time 0.340 (0.327) Data 0.001 (0.001) Loss 1.8154 (1.7953) Prec@1 62.500 (59.172) Prec@5 78.125 (80.960) Epoch: [45][8680/10010] Time 0.320 (0.327) Data 0.001 (0.001) Loss 1.7225 (1.7953) Prec@1 63.281 (59.173) Prec@5 80.469 (80.960) Epoch: [45][8690/10010] Time 0.335 (0.327) Data 0.001 (0.001) Loss 1.7903 (1.7953) Prec@1 60.938 (59.173) Prec@5 79.688 (80.960) Epoch: [45][8700/10010] Time 0.333 (0.327) Data 0.001 (0.001) Loss 1.6729 (1.7953) Prec@1 59.375 (59.172) Prec@5 84.375 (80.961) Epoch: [45][8710/10010] Time 0.311 (0.327) Data 0.001 (0.001) Loss 1.8084 (1.7952) Prec@1 55.469 (59.172) Prec@5 81.250 (80.963) Epoch: [45][8720/10010] Time 0.318 (0.327) Data 0.000 (0.001) Loss 2.0297 (1.7953) Prec@1 57.031 (59.170) Prec@5 79.688 (80.963) Epoch: [45][8730/10010] Time 0.322 (0.327) Data 0.001 (0.001) Loss 1.6237 (1.7953) Prec@1 57.031 (59.167) Prec@5 85.938 (80.963) Epoch: [45][8740/10010] Time 0.341 (0.327) Data 0.001 (0.001) Loss 1.6734 (1.7953) Prec@1 61.719 (59.167) Prec@5 82.031 (80.963) Epoch: [45][8750/10010] Time 0.326 (0.327) Data 0.001 (0.001) Loss 1.8137 (1.7954) Prec@1 59.375 (59.166) Prec@5 77.344 (80.962) Epoch: [45][8760/10010] Time 0.333 (0.327) Data 0.001 (0.001) Loss 1.6266 (1.7953) Prec@1 57.812 (59.167) Prec@5 81.250 (80.963) Epoch: [45][8770/10010] Time 0.316 (0.327) Data 0.000 (0.001) Loss 1.8779 (1.7953) Prec@1 57.812 (59.168) Prec@5 78.125 (80.964) /data/vision/torralba/deepscene/lib/anaconda2/lib/python2.7/site-packages/PIL/TiffImagePlugin.py:692: UserWarning: Possibly corrupt EXIF data. Expecting to read 2555904 bytes but only got 0. Skipping tag 0 "Skipping tag %s" % (size, len(data), tag)) Epoch: [45][8780/10010] Time 0.326 (0.327) Data 0.001 (0.001) Loss 1.6979 (1.7952) Prec@1 64.062 (59.169) Prec@5 82.812 (80.964) Epoch: [45][8790/10010] Time 0.317 (0.327) Data 0.001 (0.001) Loss 2.0931 (1.7953) Prec@1 57.812 (59.169) Prec@5 78.906 (80.964) Epoch: [45][8800/10010] Time 0.320 (0.327) Data 0.001 (0.001) Loss 2.1536 (1.7953) Prec@1 50.781 (59.169) Prec@5 77.344 (80.964) Epoch: [45][8810/10010] Time 0.324 (0.327) Data 0.001 (0.001) Loss 1.8412 (1.7954) Prec@1 59.375 (59.169) Prec@5 82.031 (80.963) Epoch: [45][8820/10010] Time 0.337 (0.327) Data 0.001 (0.001) Loss 1.7843 (1.7953) Prec@1 57.031 (59.170) Prec@5 83.594 (80.963) Epoch: [45][8830/10010] Time 0.341 (0.327) Data 0.001 (0.001) Loss 1.5024 (1.7953) Prec@1 65.625 (59.171) Prec@5 83.594 (80.964) Epoch: [45][8840/10010] Time 0.337 (0.327) Data 0.001 (0.001) Loss 1.7401 (1.7953) Prec@1 62.500 (59.170) Prec@5 82.812 (80.964) Epoch: [45][8850/10010] Time 0.336 (0.327) Data 0.000 (0.001) Loss 2.0776 (1.7953) Prec@1 55.469 (59.171) Prec@5 76.562 (80.963) Epoch: [45][8860/10010] Time 0.334 (0.327) Data 0.001 (0.001) Loss 1.8162 (1.7954) Prec@1 60.938 (59.170) Prec@5 78.906 (80.961) Epoch: [45][8870/10010] Time 0.337 (0.327) Data 0.000 (0.001) Loss 1.8390 (1.7954) Prec@1 60.156 (59.169) Prec@5 83.594 (80.961) Epoch: [45][8880/10010] Time 0.341 (0.327) Data 0.001 (0.001) Loss 1.9038 (1.7954) Prec@1 54.688 (59.169) Prec@5 81.250 (80.961) Epoch: [45][8890/10010] Time 0.314 (0.327) Data 0.001 (0.001) Loss 1.6200 (1.7955) Prec@1 60.938 (59.170) Prec@5 78.906 (80.959) Epoch: [45][8900/10010] Time 0.319 (0.327) Data 0.001 (0.001) Loss 1.8197 (1.7955) Prec@1 57.031 (59.170) Prec@5 84.375 (80.958) Epoch: [45][8910/10010] Time 0.315 (0.327) Data 0.001 (0.001) Loss 1.5426 (1.7955) Prec@1 64.062 (59.170) Prec@5 85.938 (80.959) Epoch: [45][8920/10010] Time 0.342 (0.327) Data 0.001 (0.001) Loss 1.7745 (1.7954) Prec@1 57.812 (59.171) Prec@5 82.812 (80.960) Epoch: [45][8930/10010] Time 0.336 (0.327) Data 0.001 (0.001) Loss 1.8268 (1.7955) Prec@1 58.594 (59.168) Prec@5 80.469 (80.959) Epoch: [45][8940/10010] Time 0.330 (0.327) Data 0.001 (0.001) Loss 1.7795 (1.7956) Prec@1 57.031 (59.167) Prec@5 83.594 (80.958) Epoch: [45][8950/10010] Time 0.333 (0.327) Data 0.000 (0.001) Loss 1.8752 (1.7957) Prec@1 57.031 (59.166) Prec@5 81.250 (80.956) Epoch: [45][8960/10010] Time 0.315 (0.327) Data 0.001 (0.001) Loss 1.7915 (1.7956) Prec@1 60.938 (59.166) Prec@5 83.594 (80.958) Epoch: [45][8970/10010] Time 0.340 (0.327) Data 0.001 (0.001) Loss 1.7309 (1.7956) Prec@1 59.375 (59.167) Prec@5 82.031 (80.959) Epoch: [45][8980/10010] Time 0.311 (0.327) Data 0.001 (0.001) Loss 1.7636 (1.7957) Prec@1 59.375 (59.166) Prec@5 81.250 (80.958) Epoch: [45][8990/10010] Time 0.335 (0.327) Data 0.001 (0.001) Loss 2.0128 (1.7958) Prec@1 53.125 (59.165) Prec@5 75.781 (80.954) Epoch: [45][9000/10010] Time 0.336 (0.327) Data 0.001 (0.001) Loss 1.7064 (1.7958) Prec@1 63.281 (59.167) Prec@5 80.469 (80.954) Epoch: [45][9010/10010] Time 0.321 (0.327) Data 0.001 (0.001) Loss 1.9929 (1.7958) Prec@1 53.125 (59.164) Prec@5 79.688 (80.955) Epoch: [45][9020/10010] Time 0.329 (0.327) Data 0.001 (0.001) Loss 1.8241 (1.7958) Prec@1 58.594 (59.165) Prec@5 80.469 (80.954) Epoch: [45][9030/10010] Time 0.316 (0.327) Data 0.001 (0.001) Loss 1.9775 (1.7958) Prec@1 53.125 (59.165) Prec@5 75.000 (80.953) Epoch: [45][9040/10010] Time 0.338 (0.327) Data 0.001 (0.001) Loss 1.7373 (1.7958) Prec@1 62.500 (59.167) Prec@5 83.594 (80.953) Epoch: [45][9050/10010] Time 0.340 (0.327) Data 0.000 (0.001) Loss 1.6362 (1.7957) Prec@1 62.500 (59.169) Prec@5 82.812 (80.954) Epoch: [45][9060/10010] Time 0.313 (0.327) Data 0.001 (0.001) Loss 1.9478 (1.7958) Prec@1 57.031 (59.169) Prec@5 78.906 (80.953) /data/vision/torralba/deepscene/lib/anaconda2/lib/python2.7/site-packages/PIL/TiffImagePlugin.py:692: UserWarning: Possibly corrupt EXIF data. Expecting to read 19660800 bytes but only got 0. Skipping tag 0 "Skipping tag %s" % (size, len(data), tag)) /data/vision/torralba/deepscene/lib/anaconda2/lib/python2.7/site-packages/PIL/TiffImagePlugin.py:692: UserWarning: Possibly corrupt EXIF data. Expecting to read 18481152 bytes but only got 0. Skipping tag 0 "Skipping tag %s" % (size, len(data), tag)) /data/vision/torralba/deepscene/lib/anaconda2/lib/python2.7/site-packages/PIL/TiffImagePlugin.py:692: UserWarning: Possibly corrupt EXIF data. Expecting to read 37093376 bytes but only got 0. Skipping tag 0 "Skipping tag %s" % (size, len(data), tag)) /data/vision/torralba/deepscene/lib/anaconda2/lib/python2.7/site-packages/PIL/TiffImagePlugin.py:692: UserWarning: Possibly corrupt EXIF data. Expecting to read 39976960 bytes but only got 0. Skipping tag 0 "Skipping tag %s" % (size, len(data), tag)) /data/vision/torralba/deepscene/lib/anaconda2/lib/python2.7/site-packages/PIL/TiffImagePlugin.py:692: UserWarning: Possibly corrupt EXIF data. Expecting to read 34865152 bytes but only got 0. Skipping tag 0 "Skipping tag %s" % (size, len(data), tag)) /data/vision/torralba/deepscene/lib/anaconda2/lib/python2.7/site-packages/PIL/TiffImagePlugin.py:709: UserWarning: Corrupt EXIF data. Expecting to read 12 bytes but only got 10. warnings.warn(str(msg)) Epoch: [45][9070/10010] Time 0.329 (0.327) Data 0.001 (0.001) Loss 1.9765 (1.7958) Prec@1 57.031 (59.169) Prec@5 75.781 (80.952) Epoch: [45][9080/10010] Time 0.321 (0.327) Data 0.001 (0.001) Loss 1.7804 (1.7959) Prec@1 54.688 (59.167) Prec@5 81.250 (80.952) Epoch: [45][9090/10010] Time 0.324 (0.327) Data 0.000 (0.001) Loss 1.9762 (1.7960) Prec@1 53.125 (59.166) Prec@5 74.219 (80.948) Epoch: [45][9100/10010] Time 0.318 (0.327) Data 0.000 (0.001) Loss 1.5723 (1.7960) Prec@1 72.656 (59.168) Prec@5 83.594 (80.949) Epoch: [45][9110/10010] Time 0.316 (0.327) Data 0.000 (0.001) Loss 1.8393 (1.7960) Prec@1 57.812 (59.168) Prec@5 79.688 (80.948) Epoch: [45][9120/10010] Time 0.327 (0.327) Data 0.001 (0.001) Loss 1.9588 (1.7960) Prec@1 57.812 (59.168) Prec@5 74.219 (80.948) Epoch: [45][9130/10010] Time 0.325 (0.327) Data 0.001 (0.001) Loss 1.8383 (1.7962) Prec@1 62.500 (59.166) Prec@5 76.562 (80.944) Epoch: [45][9140/10010] Time 0.316 (0.327) Data 0.001 (0.001) Loss 1.6918 (1.7962) Prec@1 54.688 (59.166) Prec@5 84.375 (80.945) Epoch: [45][9150/10010] Time 0.336 (0.327) Data 0.001 (0.001) Loss 1.8564 (1.7962) Prec@1 57.031 (59.165) Prec@5 80.469 (80.945) Epoch: [45][9160/10010] Time 0.329 (0.327) Data 0.001 (0.001) Loss 1.6105 (1.7962) Prec@1 67.969 (59.165) Prec@5 82.812 (80.945) Epoch: [45][9170/10010] Time 0.335 (0.327) Data 0.001 (0.001) Loss 1.7425 (1.7962) Prec@1 54.688 (59.164) Prec@5 82.031 (80.946) Epoch: [45][9180/10010] Time 0.337 (0.327) Data 0.000 (0.001) Loss 1.5585 (1.7961) Prec@1 61.719 (59.164) Prec@5 84.375 (80.946) Epoch: [45][9190/10010] Time 0.320 (0.327) Data 0.001 (0.001) Loss 1.8408 (1.7960) Prec@1 59.375 (59.167) Prec@5 76.562 (80.949) Epoch: [45][9200/10010] Time 0.327 (0.327) Data 0.001 (0.001) Loss 1.7417 (1.7961) Prec@1 58.594 (59.166) Prec@5 82.812 (80.949) Epoch: [45][9210/10010] Time 0.340 (0.327) Data 0.001 (0.001) Loss 1.7956 (1.7960) Prec@1 62.500 (59.168) Prec@5 79.688 (80.949) Epoch: [45][9220/10010] Time 0.333 (0.327) Data 0.000 (0.001) Loss 2.0255 (1.7960) Prec@1 54.688 (59.167) Prec@5 72.656 (80.948) Epoch: [45][9230/10010] Time 0.339 (0.327) Data 0.001 (0.001) Loss 1.9441 (1.7960) Prec@1 58.594 (59.169) Prec@5 78.125 (80.949) Epoch: [45][9240/10010] Time 0.319 (0.327) Data 0.001 (0.001) Loss 2.0444 (1.7961) Prec@1 51.562 (59.167) Prec@5 78.125 (80.948) Epoch: [45][9250/10010] Time 0.322 (0.327) Data 0.001 (0.001) Loss 2.1541 (1.7961) Prec@1 53.906 (59.165) Prec@5 75.781 (80.947) Epoch: [45][9260/10010] Time 0.338 (0.327) Data 0.001 (0.001) Loss 1.7948 (1.7961) Prec@1 60.938 (59.165) Prec@5 84.375 (80.949) Epoch: [45][9270/10010] Time 0.323 (0.327) Data 0.000 (0.001) Loss 1.6564 (1.7961) Prec@1 64.062 (59.166) Prec@5 84.375 (80.947) Epoch: [45][9280/10010] Time 0.324 (0.327) Data 0.001 (0.001) Loss 1.8672 (1.7961) Prec@1 58.594 (59.168) Prec@5 78.125 (80.947) Epoch: [45][9290/10010] Time 0.339 (0.327) Data 0.001 (0.001) Loss 1.9920 (1.7961) Prec@1 53.125 (59.165) Prec@5 78.906 (80.948) Epoch: [45][9300/10010] Time 0.335 (0.327) Data 0.000 (0.001) Loss 2.0626 (1.7962) Prec@1 48.438 (59.163) Prec@5 79.688 (80.947) Epoch: [45][9310/10010] Time 0.319 (0.327) Data 0.001 (0.001) Loss 1.6937 (1.7962) Prec@1 60.938 (59.162) Prec@5 84.375 (80.948) Epoch: [45][9320/10010] Time 0.328 (0.327) Data 0.001 (0.001) Loss 1.9589 (1.7961) Prec@1 58.594 (59.163) Prec@5 77.344 (80.949) Epoch: [45][9330/10010] Time 0.335 (0.327) Data 0.001 (0.001) Loss 1.7550 (1.7962) Prec@1 58.594 (59.163) Prec@5 83.594 (80.947) Epoch: [45][9340/10010] Time 0.311 (0.327) Data 0.001 (0.001) Loss 1.3927 (1.7961) Prec@1 65.625 (59.165) Prec@5 89.062 (80.948) Epoch: [45][9350/10010] Time 0.332 (0.327) Data 0.001 (0.001) Loss 2.0238 (1.7962) Prec@1 48.438 (59.164) Prec@5 79.688 (80.947) Epoch: [45][9360/10010] Time 0.319 (0.327) Data 0.000 (0.001) Loss 1.8098 (1.7963) Prec@1 62.500 (59.163) Prec@5 82.812 (80.944) Epoch: [45][9370/10010] Time 0.321 (0.327) Data 0.001 (0.001) Loss 1.7429 (1.7962) Prec@1 62.500 (59.167) Prec@5 80.469 (80.945) Epoch: [45][9380/10010] Time 0.336 (0.327) Data 0.001 (0.001) Loss 1.5861 (1.7963) Prec@1 67.969 (59.167) Prec@5 85.938 (80.943) Epoch: [45][9390/10010] Time 0.341 (0.327) Data 0.001 (0.001) Loss 1.9456 (1.7963) Prec@1 50.781 (59.166) Prec@5 80.469 (80.943) Epoch: [45][9400/10010] Time 0.318 (0.327) Data 0.000 (0.001) Loss 1.8540 (1.7964) Prec@1 62.500 (59.165) Prec@5 77.344 (80.941) Epoch: [45][9410/10010] Time 0.329 (0.327) Data 0.001 (0.001) Loss 1.6568 (1.7963) Prec@1 59.375 (59.168) Prec@5 82.031 (80.943) Epoch: [45][9420/10010] Time 0.331 (0.327) Data 0.001 (0.001) Loss 1.8215 (1.7963) Prec@1 58.594 (59.167) Prec@5 78.125 (80.942) Epoch: [45][9430/10010] Time 0.339 (0.327) Data 0.001 (0.001) Loss 1.4061 (1.7963) Prec@1 65.625 (59.167) Prec@5 85.938 (80.943) Epoch: [45][9440/10010] Time 0.321 (0.327) Data 0.001 (0.001) Loss 1.8141 (1.7962) Prec@1 60.938 (59.167) Prec@5 77.344 (80.945) Epoch: [45][9450/10010] Time 0.339 (0.327) Data 0.000 (0.001) Loss 2.0306 (1.7963) Prec@1 56.250 (59.167) Prec@5 75.781 (80.942) Epoch: [45][9460/10010] Time 0.315 (0.327) Data 0.001 (0.001) Loss 1.9411 (1.7963) Prec@1 55.469 (59.166) Prec@5 79.688 (80.941) Epoch: [45][9470/10010] Time 0.325 (0.327) Data 0.001 (0.001) Loss 2.0449 (1.7963) Prec@1 53.906 (59.167) Prec@5 78.125 (80.942) Epoch: [45][9480/10010] Time 0.332 (0.327) Data 0.001 (0.001) Loss 2.0141 (1.7963) Prec@1 50.781 (59.164) Prec@5 78.906 (80.944) Epoch: [45][9490/10010] Time 0.338 (0.327) Data 0.001 (0.001) Loss 2.1302 (1.7964) Prec@1 46.875 (59.163) Prec@5 77.344 (80.943) Epoch: [45][9500/10010] Time 0.310 (0.327) Data 0.001 (0.001) Loss 2.0968 (1.7963) Prec@1 51.562 (59.164) Prec@5 73.438 (80.943) Epoch: [45][9510/10010] Time 0.320 (0.327) Data 0.001 (0.001) Loss 1.4943 (1.7963) Prec@1 63.281 (59.163) Prec@5 83.594 (80.943) Epoch: [45][9520/10010] Time 0.336 (0.327) Data 0.001 (0.001) Loss 2.3316 (1.7964) Prec@1 47.656 (59.161) Prec@5 72.656 (80.941) Epoch: [45][9530/10010] Time 0.323 (0.327) Data 0.001 (0.001) Loss 1.8629 (1.7965) Prec@1 56.250 (59.160) Prec@5 82.031 (80.940) Epoch: [45][9540/10010] Time 0.316 (0.327) Data 0.001 (0.001) Loss 1.7635 (1.7965) Prec@1 54.688 (59.160) Prec@5 79.688 (80.939) Epoch: [45][9550/10010] Time 0.317 (0.327) Data 0.001 (0.001) Loss 1.7288 (1.7965) Prec@1 61.719 (59.160) Prec@5 83.594 (80.939) Epoch: [45][9560/10010] Time 0.318 (0.327) Data 0.000 (0.001) Loss 1.8830 (1.7965) Prec@1 59.375 (59.160) Prec@5 78.906 (80.937) Epoch: [45][9570/10010] Time 0.315 (0.327) Data 0.001 (0.001) Loss 1.8147 (1.7965) Prec@1 53.125 (59.159) Prec@5 82.031 (80.937) Epoch: [45][9580/10010] Time 0.319 (0.327) Data 0.001 (0.001) Loss 1.8867 (1.7966) Prec@1 63.281 (59.157) Prec@5 79.688 (80.935) Epoch: [45][9590/10010] Time 0.319 (0.327) Data 0.001 (0.001) Loss 1.9892 (1.7966) Prec@1 61.719 (59.159) Prec@5 77.344 (80.935) Epoch: [45][9600/10010] Time 0.321 (0.327) Data 0.001 (0.001) Loss 1.6467 (1.7966) Prec@1 63.281 (59.159) Prec@5 85.156 (80.935) Epoch: [45][9610/10010] Time 0.317 (0.327) Data 0.001 (0.001) Loss 1.8407 (1.7966) Prec@1 60.156 (59.159) Prec@5 78.125 (80.935) Epoch: [45][9620/10010] Time 0.326 (0.327) Data 0.000 (0.001) Loss 1.7647 (1.7966) Prec@1 53.125 (59.159) Prec@5 82.031 (80.936) Epoch: [45][9630/10010] Time 0.331 (0.327) Data 0.001 (0.001) Loss 1.8240 (1.7967) Prec@1 59.375 (59.159) Prec@5 78.125 (80.936) Epoch: [45][9640/10010] Time 0.320 (0.327) Data 0.000 (0.001) Loss 1.7800 (1.7968) Prec@1 57.031 (59.154) Prec@5 82.812 (80.934) Epoch: [45][9650/10010] Time 0.320 (0.327) Data 0.001 (0.001) Loss 2.2059 (1.7968) Prec@1 55.469 (59.154) Prec@5 72.656 (80.933) Epoch: [45][9660/10010] Time 0.334 (0.327) Data 0.001 (0.001) Loss 1.8193 (1.7969) Prec@1 60.156 (59.155) Prec@5 79.688 (80.932) Epoch: [45][9670/10010] Time 0.339 (0.327) Data 0.001 (0.001) Loss 1.8825 (1.7968) Prec@1 56.250 (59.156) Prec@5 78.125 (80.932) Epoch: [45][9680/10010] Time 0.340 (0.327) Data 0.000 (0.001) Loss 1.7154 (1.7968) Prec@1 61.719 (59.156) Prec@5 78.906 (80.931) Epoch: [45][9690/10010] Time 0.320 (0.327) Data 0.001 (0.001) Loss 2.0646 (1.7968) Prec@1 55.469 (59.156) Prec@5 76.562 (80.931) Epoch: [45][9700/10010] Time 0.340 (0.327) Data 0.000 (0.001) Loss 1.8077 (1.7968) Prec@1 58.594 (59.154) Prec@5 82.812 (80.931) Epoch: [45][9710/10010] Time 0.318 (0.327) Data 0.001 (0.001) Loss 1.8343 (1.7969) Prec@1 54.688 (59.152) Prec@5 80.469 (80.931) Epoch: [45][9720/10010] Time 0.328 (0.327) Data 0.001 (0.001) Loss 1.7399 (1.7969) Prec@1 59.375 (59.152) Prec@5 81.250 (80.931) Epoch: [45][9730/10010] Time 0.337 (0.327) Data 0.001 (0.001) Loss 1.6628 (1.7969) Prec@1 65.625 (59.151) Prec@5 83.594 (80.931) Epoch: [45][9740/10010] Time 0.314 (0.327) Data 0.001 (0.001) Loss 2.0590 (1.7970) Prec@1 58.594 (59.151) Prec@5 77.344 (80.928) Epoch: [45][9750/10010] Time 0.316 (0.327) Data 0.001 (0.001) Loss 1.8376 (1.7970) Prec@1 53.906 (59.149) Prec@5 79.688 (80.928) Epoch: [45][9760/10010] Time 0.331 (0.327) Data 0.000 (0.001) Loss 1.8668 (1.7970) Prec@1 57.812 (59.148) Prec@5 79.688 (80.928) Epoch: [45][9770/10010] Time 0.335 (0.327) Data 0.001 (0.001) Loss 1.9531 (1.7972) Prec@1 52.344 (59.145) Prec@5 79.688 (80.926) Epoch: [45][9780/10010] Time 0.323 (0.327) Data 0.001 (0.001) Loss 1.6541 (1.7971) Prec@1 61.719 (59.147) Prec@5 82.031 (80.927) Epoch: [45][9790/10010] Time 0.336 (0.327) Data 0.001 (0.001) Loss 1.4805 (1.7972) Prec@1 67.969 (59.146) Prec@5 86.719 (80.926) Epoch: [45][9800/10010] Time 0.315 (0.327) Data 0.001 (0.001) Loss 1.7121 (1.7971) Prec@1 58.594 (59.147) Prec@5 77.344 (80.927) Epoch: [45][9810/10010] Time 0.322 (0.327) Data 0.001 (0.001) Loss 1.7793 (1.7970) Prec@1 58.594 (59.148) Prec@5 83.594 (80.926) Epoch: [45][9820/10010] Time 0.331 (0.327) Data 0.001 (0.001) Loss 1.6321 (1.7970) Prec@1 58.594 (59.148) Prec@5 85.938 (80.927) Epoch: [45][9830/10010] Time 0.316 (0.327) Data 0.001 (0.001) Loss 1.6760 (1.7971) Prec@1 61.719 (59.148) Prec@5 81.250 (80.926) Epoch: [45][9840/10010] Time 0.334 (0.327) Data 0.001 (0.001) Loss 1.7946 (1.7970) Prec@1 60.156 (59.149) Prec@5 85.156 (80.927) Epoch: [45][9850/10010] Time 0.322 (0.327) Data 0.001 (0.001) Loss 2.2385 (1.7970) Prec@1 51.562 (59.149) Prec@5 74.219 (80.927) Epoch: [45][9860/10010] Time 0.327 (0.327) Data 0.001 (0.001) Loss 1.5475 (1.7970) Prec@1 64.844 (59.151) Prec@5 85.156 (80.928) Epoch: [45][9870/10010] Time 0.338 (0.327) Data 0.000 (0.001) Loss 1.6438 (1.7970) Prec@1 62.500 (59.152) Prec@5 83.594 (80.928) Epoch: [45][9880/10010] Time 0.336 (0.327) Data 0.000 (0.001) Loss 1.9770 (1.7971) Prec@1 57.812 (59.150) Prec@5 79.688 (80.928) Epoch: [45][9890/10010] Time 0.322 (0.327) Data 0.001 (0.001) Loss 1.7209 (1.7970) Prec@1 55.469 (59.152) Prec@5 82.812 (80.929) Epoch: [45][9900/10010] Time 0.323 (0.327) Data 0.000 (0.001) Loss 1.7817 (1.7971) Prec@1 58.594 (59.152) Prec@5 83.594 (80.929) Epoch: [45][9910/10010] Time 0.317 (0.327) Data 0.001 (0.001) Loss 1.5845 (1.7971) Prec@1 60.938 (59.153) Prec@5 83.594 (80.929) Epoch: [45][9920/10010] Time 0.321 (0.327) Data 0.000 (0.001) Loss 1.9579 (1.7971) Prec@1 60.938 (59.153) Prec@5 74.219 (80.928) Epoch: [45][9930/10010] Time 0.323 (0.327) Data 0.001 (0.001) Loss 1.4760 (1.7971) Prec@1 60.938 (59.155) Prec@5 85.156 (80.928) Epoch: [45][9940/10010] Time 0.320 (0.327) Data 0.001 (0.001) Loss 1.5940 (1.7970) Prec@1 64.844 (59.158) Prec@5 83.594 (80.930) Epoch: [45][9950/10010] Time 0.324 (0.327) Data 0.001 (0.001) Loss 1.9209 (1.7970) Prec@1 62.500 (59.159) Prec@5 78.906 (80.930) Epoch: [45][9960/10010] Time 0.318 (0.327) Data 0.001 (0.001) Loss 1.9686 (1.7971) Prec@1 50.781 (59.160) Prec@5 78.906 (80.929) Epoch: [45][9970/10010] Time 0.318 (0.327) Data 0.001 (0.001) Loss 1.5858 (1.7970) Prec@1 60.156 (59.162) Prec@5 87.500 (80.931) Epoch: [45][9980/10010] Time 0.324 (0.327) Data 0.001 (0.001) Loss 1.9617 (1.7969) Prec@1 60.938 (59.163) Prec@5 80.469 (80.934) Epoch: [45][9990/10010] Time 0.321 (0.327) Data 0.001 (0.001) Loss 1.8469 (1.7969) Prec@1 60.156 (59.161) Prec@5 84.375 (80.931) Epoch: [45][10000/10010] Time 0.315 (0.327) Data 0.000 (0.001) Loss 1.8720 (1.7969) Prec@1 56.250 (59.162) Prec@5 81.250 (80.932) Test: [0/391] Time 1.268 (1.268) Loss 0.6864 (0.6864) Prec@1 85.938 (85.938) Prec@5 92.969 (92.969) Test: [10/391] Time 0.109 (0.214) Loss 1.2743 (0.8221) Prec@1 67.969 (80.043) Prec@5 89.844 (93.395) Test: [20/391] Time 0.109 (0.168) Loss 1.0847 (1.1296) Prec@1 72.656 (72.210) Prec@5 89.844 (90.067) Test: [30/391] Time 0.108 (0.148) Loss 2.1211 (1.2713) Prec@1 64.062 (68.322) Prec@5 82.812 (89.491) Test: [40/391] Time 0.108 (0.138) Loss 1.2102 (1.1494) Prec@1 69.531 (71.094) Prec@5 89.844 (90.587) Test: [50/391] Time 0.101 (0.132) Loss 0.6444 (1.1893) Prec@1 83.594 (70.481) Prec@5 93.750 (89.798) Test: [60/391] Time 0.107 (0.127) Loss 1.1034 (1.1260) Prec@1 66.406 (71.990) Prec@5 92.969 (90.459) Test: [70/391] Time 0.101 (0.125) Loss 1.5848 (1.1708) Prec@1 56.250 (70.687) Prec@5 88.281 (90.196) Test: [80/391] Time 0.105 (0.122) Loss 1.0730 (1.2037) Prec@1 65.625 (69.416) Prec@5 91.406 (89.988) Test: [90/391] Time 0.105 (0.121) Loss 1.6001 (1.2191) Prec@1 52.344 (68.965) Prec@5 85.156 (89.930) Test: [100/391] Time 0.105 (0.119) Loss 0.8569 (1.2075) Prec@1 77.344 (68.881) Prec@5 96.094 (90.223) Test: [110/391] Time 0.114 (0.118) Loss 1.7314 (1.2087) Prec@1 44.531 (68.539) Prec@5 86.719 (90.407) Test: [120/391] Time 0.112 (0.117) Loss 1.2670 (1.1960) Prec@1 68.750 (68.931) Prec@5 91.406 (90.625) Test: [130/391] Time 0.106 (0.116) Loss 0.9874 (1.1864) Prec@1 80.469 (69.370) Prec@5 92.969 (90.756) Test: [140/391] Time 0.101 (0.115) Loss 1.3251 (1.1859) Prec@1 60.938 (69.249) Prec@5 89.844 (90.836) Test: [150/391] Time 0.104 (0.115) Loss 1.2692 (1.1953) Prec@1 60.938 (69.143) Prec@5 89.062 (90.584) Test: [160/391] Time 0.100 (0.115) Loss 1.0694 (1.2004) Prec@1 70.312 (69.143) Prec@5 91.406 (90.518) Test: [170/391] Time 0.108 (0.114) Loss 2.0635 (1.2312) Prec@1 48.438 (68.586) Prec@5 83.594 (90.090) Test: [180/391] Time 0.108 (0.114) Loss 2.3967 (1.2671) Prec@1 46.094 (67.844) Prec@5 78.906 (89.580) Test: [190/391] Time 0.110 (0.114) Loss 2.5134 (1.3055) Prec@1 48.438 (67.163) Prec@5 75.000 (89.046) Test: [200/391] Time 0.102 (0.113) Loss 2.1110 (1.3440) Prec@1 45.312 (66.472) Prec@5 74.219 (88.487) Test: [210/391] Time 0.104 (0.113) Loss 1.7507 (1.3660) Prec@1 59.375 (66.062) Prec@5 82.812 (88.226) Test: [220/391] Time 0.103 (0.112) Loss 0.8609 (1.3759) Prec@1 79.688 (65.936) Prec@5 90.625 (87.952) Test: [230/391] Time 0.105 (0.112) Loss 2.5104 (1.3934) Prec@1 41.406 (65.639) Prec@5 75.781 (87.706) Test: [240/391] Time 0.111 (0.112) Loss 1.4780 (1.4028) Prec@1 66.406 (65.567) Prec@5 82.812 (87.513) Test: [250/391] Time 0.106 (0.112) Loss 1.2719 (1.4274) Prec@1 71.094 (65.012) Prec@5 85.156 (87.186) Test: [260/391] Time 0.108 (0.112) Loss 1.7225 (1.4430) Prec@1 63.281 (64.733) Prec@5 82.812 (86.991) Test: [270/391] Time 0.105 (0.112) Loss 2.4597 (1.4531) Prec@1 45.312 (64.616) Prec@5 75.000 (86.797) Test: [280/391] Time 0.099 (0.111) Loss 1.6078 (1.4676) Prec@1 58.594 (64.388) Prec@5 85.938 (86.624) Test: [290/391] Time 0.100 (0.111) Loss 1.6717 (1.4816) Prec@1 43.750 (64.191) Prec@5 87.500 (86.391) Test: [300/391] Time 0.104 (0.111) Loss 1.4233 (1.4919) Prec@1 76.562 (64.050) Prec@5 85.156 (86.220) Test: [310/391] Time 0.111 (0.111) Loss 2.0212 (1.5041) Prec@1 60.938 (63.864) Prec@5 75.781 (86.000) Test: [320/391] Time 0.106 (0.111) Loss 0.8983 (1.5081) Prec@1 82.031 (63.792) Prec@5 93.750 (85.950) Test: [330/391] Time 0.108 (0.111) Loss 2.1835 (1.5258) Prec@1 54.688 (63.465) Prec@5 75.000 (85.671) Test: [340/391] Time 0.107 (0.111) Loss 1.4487 (1.5330) Prec@1 60.938 (63.258) Prec@5 88.281 (85.578) Test: [350/391] Time 0.108 (0.111) Loss 1.2747 (1.5374) Prec@1 71.875 (63.221) Prec@5 88.281 (85.468) Test: [360/391] Time 0.106 (0.111) Loss 1.6711 (1.5464) Prec@1 51.562 (63.026) Prec@5 86.719 (85.379) Test: [370/391] Time 0.104 (0.110) Loss 1.2931 (1.5428) Prec@1 61.719 (63.058) Prec@5 91.406 (85.426) Test: [380/391] Time 0.104 (0.110) Loss 1.2518 (1.5460) Prec@1 67.969 (62.984) Prec@5 90.625 (85.380) Test: [390/391] Time 0.068 (0.110) Loss 2.1853 (1.5374) Prec@1 48.750 (63.162) Prec@5 77.500 (85.494) * Prec@1 63.162 Prec@5 85.494 Epoch: [46][0/10010] Time 2.662 (2.662) Data 2.242 (2.242) Loss 1.5690 (1.5690) Prec@1 62.500 (62.500) Prec@5 85.156 (85.156) Epoch: [46][10/10010] Time 0.310 (0.531) Data 0.001 (0.204) Loss 1.6519 (1.7677) Prec@1 64.062 (60.440) Prec@5 82.812 (81.179) Epoch: [46][20/10010] Time 0.316 (0.428) Data 0.001 (0.107) Loss 2.0073 (1.8067) Prec@1 59.375 (59.003) Prec@5 75.781 (80.320) Epoch: [46][30/10010] Time 0.313 (0.392) Data 0.001 (0.073) Loss 2.0323 (1.8019) Prec@1 57.812 (59.627) Prec@5 78.125 (80.645) Epoch: [46][40/10010] Time 0.341 (0.376) Data 0.000 (0.055) Loss 2.1914 (1.8066) Prec@1 49.219 (59.413) Prec@5 75.781 (80.583) Epoch: [46][50/10010] Time 0.316 (0.365) Data 0.001 (0.045) Loss 1.4841 (1.8053) Prec@1 64.062 (59.222) Prec@5 85.156 (80.591) Epoch: [46][60/10010] Time 0.333 (0.360) Data 0.001 (0.037) Loss 2.0056 (1.8095) Prec@1 57.031 (59.106) Prec@5 75.781 (80.418) Epoch: [46][70/10010] Time 0.320 (0.356) Data 0.001 (0.032) Loss 1.6274 (1.7998) Prec@1 61.719 (59.331) Prec@5 82.031 (80.590) Epoch: [46][80/10010] Time 0.319 (0.351) Data 0.000 (0.028) Loss 1.6857 (1.7978) Prec@1 58.594 (59.124) Prec@5 82.031 (80.575) Epoch: [46][90/10010] Time 0.324 (0.348) Data 0.001 (0.025) Loss 1.9203 (1.7954) Prec@1 57.031 (59.186) Prec@5 75.781 (80.606) Epoch: [46][100/10010] Time 0.332 (0.346) Data 0.001 (0.023) Loss 1.7962 (1.7916) Prec@1 60.938 (59.251) Prec@5 82.031 (80.701) Epoch: [46][110/10010] Time 0.325 (0.344) Data 0.001 (0.021) Loss 1.8265 (1.7817) Prec@1 59.375 (59.347) Prec@5 81.250 (80.863) Epoch: [46][120/10010] Time 0.322 (0.343) Data 0.001 (0.019) Loss 1.7808 (1.7846) Prec@1 55.469 (59.214) Prec@5 81.250 (80.914) Epoch: [46][130/10010] Time 0.337 (0.342) Data 0.001 (0.018) Loss 1.6926 (1.7911) Prec@1 63.281 (59.154) Prec@5 85.156 (80.922) /data/vision/torralba/deepscene/lib/anaconda2/lib/python2.7/site-packages/PIL/TiffImagePlugin.py:692: UserWarning: Possibly corrupt EXIF data. Expecting to read 2555904 bytes but only got 0. Skipping tag 0 "Skipping tag %s" % (size, len(data), tag)) Epoch: [46][140/10010] Time 0.334 (0.341) Data 0.001 (0.017) Loss 1.8377 (1.7890) Prec@1 64.062 (59.220) Prec@5 80.469 (80.990) Epoch: [46][150/10010] Time 0.320 (0.340) Data 0.001 (0.016) Loss 1.5798 (1.7814) Prec@1 62.500 (59.349) Prec@5 80.469 (81.115) Epoch: [46][160/10010] Time 0.326 (0.339) Data 0.000 (0.015) Loss 1.8892 (1.7844) Prec@1 60.938 (59.346) Prec@5 84.375 (81.080) Epoch: [46][170/10010] Time 0.326 (0.338) Data 0.001 (0.014) Loss 1.7035 (1.7809) Prec@1 61.719 (59.448) Prec@5 80.469 (81.104) Epoch: [46][180/10010] Time 0.322 (0.337) Data 0.001 (0.013) Loss 1.4723 (1.7799) Prec@1 68.750 (59.461) Prec@5 82.812 (81.146) Epoch: [46][190/10010] Time 0.315 (0.336) Data 0.001 (0.012) Loss 1.7388 (1.7833) Prec@1 57.812 (59.404) Prec@5 80.469 (81.054) Epoch: [46][200/10010] Time 0.323 (0.336) Data 0.001 (0.012) Loss 1.6745 (1.7815) Prec@1 63.281 (59.414) Prec@5 83.594 (81.071) Epoch: [46][210/10010] Time 0.329 (0.335) Data 0.001 (0.011) Loss 1.9925 (1.7798) Prec@1 54.688 (59.408) Prec@5 77.344 (81.128) Epoch: [46][220/10010] Time 0.321 (0.335) Data 0.001 (0.011) Loss 1.4101 (1.7789) Prec@1 65.625 (59.463) Prec@5 89.062 (81.109) Epoch: [46][230/10010] Time 0.319 (0.334) Data 0.000 (0.010) Loss 1.9446 (1.7755) Prec@1 60.938 (59.588) Prec@5 80.469 (81.159) Epoch: [46][240/10010] Time 0.319 (0.334) Data 0.000 (0.010) Loss 1.6707 (1.7748) Prec@1 63.281 (59.660) Prec@5 80.469 (81.182) Epoch: [46][250/10010] Time 0.336 (0.333) Data 0.001 (0.010) Loss 1.6322 (1.7759) Prec@1 59.375 (59.590) Prec@5 82.031 (81.147) Epoch: [46][260/10010] Time 0.342 (0.333) Data 0.001 (0.009) Loss 1.6768 (1.7745) Prec@1 60.156 (59.567) Prec@5 81.250 (81.148) Epoch: [46][270/10010] Time 0.338 (0.333) Data 0.000 (0.009) Loss 1.6940 (1.7730) Prec@1 60.938 (59.597) Prec@5 78.906 (81.123) Epoch: [46][280/10010] Time 0.333 (0.333) Data 0.001 (0.009) Loss 1.7713 (1.7765) Prec@1 58.594 (59.508) Prec@5 82.031 (81.061) Epoch: [46][290/10010] Time 0.329 (0.332) Data 0.001 (0.008) Loss 1.7741 (1.7789) Prec@1 53.125 (59.399) Prec@5 82.812 (81.041) Epoch: [46][300/10010] Time 0.334 (0.333) Data 0.000 (0.008) Loss 1.6199 (1.7807) Prec@1 63.281 (59.336) Prec@5 79.688 (81.040) Epoch: [46][310/10010] Time 0.320 (0.332) Data 0.000 (0.008) Loss 1.9130 (1.7832) Prec@1 54.688 (59.337) Prec@5 76.562 (80.996) Epoch: [46][320/10010] Time 0.320 (0.332) Data 0.001 (0.008) Loss 1.6980 (1.7821) Prec@1 61.719 (59.404) Prec@5 79.688 (80.999) Epoch: [46][330/10010] Time 0.330 (0.332) Data 0.001 (0.007) Loss 1.3177 (1.7821) Prec@1 71.875 (59.429) Prec@5 89.844 (80.983) Epoch: [46][340/10010] Time 0.336 (0.332) Data 0.000 (0.007) Loss 1.7962 (1.7849) Prec@1 58.594 (59.306) Prec@5 81.250 (80.929) Epoch: [46][350/10010] Time 0.342 (0.332) Data 0.001 (0.007) Loss 1.5689 (1.7828) Prec@1 66.406 (59.339) Prec@5 82.812 (80.974) Epoch: [46][360/10010] Time 0.325 (0.332) Data 0.001 (0.007) Loss 1.6447 (1.7826) Prec@1 60.156 (59.319) Prec@5 81.250 (80.982) Epoch: [46][370/10010] Time 0.318 (0.332) Data 0.001 (0.007) Loss 1.7943 (1.7845) Prec@1 56.250 (59.284) Prec@5 79.688 (80.957) Epoch: [46][380/10010] Time 0.320 (0.332) Data 0.001 (0.007) Loss 1.8355 (1.7808) Prec@1 59.375 (59.334) Prec@5 80.469 (81.029) Epoch: [46][390/10010] Time 0.329 (0.332) Data 0.003 (0.006) Loss 2.1550 (1.7810) Prec@1 51.562 (59.331) Prec@5 76.562 (81.044) Epoch: [46][400/10010] Time 0.341 (0.331) Data 0.000 (0.006) Loss 1.6196 (1.7841) Prec@1 65.625 (59.285) Prec@5 80.469 (80.995) Epoch: [46][410/10010] Time 0.334 (0.331) Data 0.001 (0.006) Loss 1.9435 (1.7855) Prec@1 57.031 (59.265) Prec@5 76.562 (80.969) Epoch: [46][420/10010] Time 0.325 (0.331) Data 0.000 (0.006) Loss 1.8234 (1.7851) Prec@1 57.031 (59.284) Prec@5 81.250 (80.981) Epoch: [46][430/10010] Time 0.342 (0.331) Data 0.001 (0.006) Loss 1.6692 (1.7875) Prec@1 60.156 (59.215) Prec@5 77.344 (80.927) Epoch: [46][440/10010] Time 0.334 (0.331) Data 0.001 (0.006) Loss 1.5993 (1.7854) Prec@1 64.844 (59.279) Prec@5 85.156 (80.965) Epoch: [46][450/10010] Time 0.313 (0.331) Data 0.001 (0.006) Loss 1.4957 (1.7819) Prec@1 63.281 (59.333) Prec@5 85.156 (81.007) Epoch: [46][460/10010] Time 0.320 (0.330) Data 0.000 (0.006) Loss 1.6690 (1.7835) Prec@1 67.969 (59.309) Prec@5 82.031 (80.996) Epoch: [46][470/10010] Time 0.314 (0.330) Data 0.001 (0.005) Loss 1.8120 (1.7820) Prec@1 58.594 (59.335) Prec@5 79.688 (81.034) Epoch: [46][480/10010] Time 0.329 (0.330) Data 0.001 (0.005) Loss 1.9373 (1.7805) Prec@1 57.031 (59.354) Prec@5 80.469 (81.060) Epoch: [46][490/10010] Time 0.322 (0.330) Data 0.001 (0.005) Loss 1.6870 (1.7813) Prec@1 60.938 (59.294) Prec@5 80.469 (81.032) Epoch: [46][500/10010] Time 0.324 (0.330) Data 0.000 (0.005) Loss 1.5903 (1.7794) Prec@1 64.062 (59.333) Prec@5 86.719 (81.071) Epoch: [46][510/10010] Time 0.328 (0.330) Data 0.001 (0.005) Loss 1.6004 (1.7784) Prec@1 61.719 (59.366) Prec@5 85.156 (81.093) Epoch: [46][520/10010] Time 0.332 (0.330) Data 0.000 (0.005) Loss 1.8629 (1.7785) Prec@1 60.156 (59.354) Prec@5 79.688 (81.085) Epoch: [46][530/10010] Time 0.340 (0.330) Data 0.001 (0.005) Loss 1.6306 (1.7765) Prec@1 62.500 (59.404) Prec@5 82.812 (81.103) Epoch: [46][540/10010] Time 0.331 (0.330) Data 0.000 (0.005) Loss 2.1763 (1.7771) Prec@1 50.781 (59.400) Prec@5 75.781 (81.084) Epoch: [46][550/10010] Time 0.341 (0.330) Data 0.001 (0.005) Loss 1.7687 (1.7762) Prec@1 60.938 (59.423) Prec@5 84.375 (81.104) Epoch: [46][560/10010] Time 0.328 (0.330) Data 0.001 (0.005) Loss 2.0198 (1.7786) Prec@1 58.594 (59.394) Prec@5 76.562 (81.076) Epoch: [46][570/10010] Time 0.338 (0.330) Data 0.001 (0.005) Loss 1.4469 (1.7772) Prec@1 64.844 (59.402) Prec@5 87.500 (81.090) Epoch: [46][580/10010] Time 0.319 (0.330) Data 0.000 (0.005) Loss 1.8548 (1.7779) Prec@1 59.375 (59.394) Prec@5 79.688 (81.085) Epoch: [46][590/10010] Time 0.336 (0.330) Data 0.001 (0.004) Loss 1.7256 (1.7761) Prec@1 60.156 (59.424) Prec@5 82.812 (81.113) Epoch: [46][600/10010] Time 0.339 (0.330) Data 0.001 (0.004) Loss 1.9297 (1.7760) Prec@1 61.719 (59.441) Prec@5 78.125 (81.117) Epoch: [46][610/10010] Time 0.322 (0.330) Data 0.001 (0.004) Loss 1.9257 (1.7763) Prec@1 56.250 (59.434) Prec@5 81.250 (81.121) Epoch: [46][620/10010] Time 0.333 (0.330) Data 0.001 (0.004) Loss 2.2497 (1.7781) Prec@1 53.125 (59.384) Prec@5 73.438 (81.097) Epoch: [46][630/10010] Time 0.334 (0.330) Data 0.001 (0.004) Loss 1.5261 (1.7773) Prec@1 67.969 (59.420) Prec@5 84.375 (81.109) Epoch: [46][640/10010] Time 0.334 (0.330) Data 0.000 (0.004) Loss 1.6911 (1.7771) Prec@1 63.281 (59.418) Prec@5 83.594 (81.128) /data/vision/torralba/deepscene/lib/anaconda2/lib/python2.7/site-packages/PIL/TiffImagePlugin.py:692: UserWarning: Possibly corrupt EXIF data. Expecting to read 2555904 bytes but only got 0. Skipping tag 0 "Skipping tag %s" % (size, len(data), tag)) Epoch: [46][650/10010] Time 0.330 (0.330) Data 0.001 (0.004) Loss 1.6524 (1.7758) Prec@1 59.375 (59.441) Prec@5 82.812 (81.148) Epoch: [46][660/10010] Time 0.339 (0.330) Data 0.001 (0.004) Loss 1.6861 (1.7756) Prec@1 62.500 (59.447) Prec@5 80.469 (81.138) Epoch: [46][670/10010] Time 0.314 (0.330) Data 0.001 (0.004) Loss 1.7734 (1.7751) Prec@1 57.812 (59.443) Prec@5 80.469 (81.139) Epoch: [46][680/10010] Time 0.322 (0.330) Data 0.001 (0.004) Loss 1.8753 (1.7742) Prec@1 56.250 (59.460) Prec@5 78.906 (81.158) Epoch: [46][690/10010] Time 0.338 (0.330) Data 0.001 (0.004) Loss 1.7189 (1.7732) Prec@1 63.281 (59.486) Prec@5 83.594 (81.153) Epoch: [46][700/10010] Time 0.338 (0.330) Data 0.001 (0.004) Loss 1.8349 (1.7733) Prec@1 59.375 (59.473) Prec@5 78.906 (81.143) Epoch: [46][710/10010] Time 0.320 (0.330) Data 0.001 (0.004) Loss 1.8311 (1.7741) Prec@1 59.375 (59.463) Prec@5 76.562 (81.129) Epoch: [46][720/10010] Time 0.319 (0.330) Data 0.001 (0.004) Loss 1.7938 (1.7743) Prec@1 57.812 (59.456) Prec@5 82.031 (81.130) Epoch: [46][730/10010] Time 0.336 (0.329) Data 0.001 (0.004) Loss 1.7944 (1.7749) Prec@1 54.688 (59.440) Prec@5 81.250 (81.123) Epoch: [46][740/10010] Time 0.323 (0.329) Data 0.001 (0.004) Loss 1.4968 (1.7740) Prec@1 63.281 (59.446) Prec@5 86.719 (81.135) Epoch: [46][750/10010] Time 0.335 (0.329) Data 0.001 (0.004) Loss 1.7622 (1.7739) Prec@1 60.938 (59.443) Prec@5 80.469 (81.137) Epoch: [46][760/10010] Time 0.322 (0.329) Data 0.001 (0.004) Loss 1.7655 (1.7739) Prec@1 59.375 (59.440) Prec@5 81.250 (81.149) Epoch: [46][770/10010] Time 0.339 (0.329) Data 0.001 (0.004) Loss 1.8727 (1.7716) Prec@1 60.938 (59.491) Prec@5 78.125 (81.194) Epoch: [46][780/10010] Time 0.312 (0.329) Data 0.001 (0.004) Loss 1.8595 (1.7720) Prec@1 57.812 (59.488) Prec@5 79.688 (81.177) Epoch: [46][790/10010] Time 0.338 (0.329) Data 0.001 (0.004) Loss 1.3461 (1.7718) Prec@1 68.750 (59.512) Prec@5 86.719 (81.182) Epoch: [46][800/10010] Time 0.335 (0.329) Data 0.001 (0.003) Loss 1.7241 (1.7708) Prec@1 62.500 (59.515) Prec@5 82.031 (81.198) Epoch: [46][810/10010] Time 0.347 (0.329) Data 0.001 (0.003) Loss 1.5933 (1.7708) Prec@1 65.625 (59.527) Prec@5 81.250 (81.196) Epoch: [46][820/10010] Time 0.339 (0.329) Data 0.001 (0.003) Loss 1.4661 (1.7691) Prec@1 69.531 (59.553) Prec@5 89.062 (81.215) Epoch: [46][830/10010] Time 0.318 (0.329) Data 0.001 (0.003) Loss 1.5363 (1.7694) Prec@1 63.281 (59.524) Prec@5 87.500 (81.230) Epoch: [46][840/10010] Time 0.341 (0.329) Data 0.001 (0.003) Loss 1.8586 (1.7688) Prec@1 63.281 (59.545) Prec@5 82.031 (81.247) Epoch: [46][850/10010] Time 0.311 (0.329) Data 0.001 (0.003) Loss 1.9899 (1.7690) Prec@1 53.906 (59.547) Prec@5 78.125 (81.237) Epoch: [46][860/10010] Time 0.338 (0.329) Data 0.001 (0.003) Loss 1.5897 (1.7691) Prec@1 60.938 (59.548) Prec@5 84.375 (81.235) Epoch: [46][870/10010] Time 0.342 (0.329) Data 0.000 (0.003) Loss 1.5289 (1.7699) Prec@1 65.625 (59.530) Prec@5 85.156 (81.233) Epoch: [46][880/10010] Time 0.318 (0.329) Data 0.001 (0.003) Loss 1.8646 (1.7693) Prec@1 55.469 (59.551) Prec@5 76.562 (81.235) Epoch: [46][890/10010] Time 0.315 (0.329) Data 0.000 (0.003) Loss 1.9499 (1.7684) Prec@1 55.469 (59.574) Prec@5 81.250 (81.259) Epoch: [46][900/10010] Time 0.314 (0.329) Data 0.001 (0.003) Loss 1.7874 (1.7684) Prec@1 60.938 (59.584) Prec@5 82.812 (81.258) Epoch: [46][910/10010] Time 0.315 (0.329) Data 0.000 (0.003) Loss 1.5540 (1.7684) Prec@1 66.406 (59.576) Prec@5 85.938 (81.271) Epoch: [46][920/10010] Time 0.337 (0.329) Data 0.000 (0.003) Loss 1.6851 (1.7690) Prec@1 63.281 (59.561) Prec@5 82.031 (81.273) Epoch: [46][930/10010] Time 0.340 (0.329) Data 0.000 (0.003) Loss 1.4886 (1.7691) Prec@1 59.375 (59.561) Prec@5 86.719 (81.267) Epoch: [46][940/10010] Time 0.341 (0.329) Data 0.000 (0.003) Loss 2.1082 (1.7691) Prec@1 52.344 (59.548) Prec@5 74.219 (81.270) Epoch: [46][950/10010] Time 0.314 (0.329) Data 0.001 (0.003) Loss 1.9324 (1.7688) Prec@1 55.469 (59.564) Prec@5 79.688 (81.280) Epoch: [46][960/10010] Time 0.331 (0.329) Data 0.001 (0.003) Loss 1.9262 (1.7685) Prec@1 60.938 (59.568) Prec@5 78.906 (81.296) Epoch: [46][970/10010] Time 0.324 (0.329) Data 0.001 (0.003) Loss 2.0126 (1.7698) Prec@1 57.812 (59.549) Prec@5 78.125 (81.278) Epoch: [46][980/10010] Time 0.318 (0.329) Data 0.001 (0.003) Loss 1.7619 (1.7693) Prec@1 60.156 (59.567) Prec@5 82.812 (81.290) Epoch: [46][990/10010] Time 0.313 (0.329) Data 0.000 (0.003) Loss 1.6006 (1.7698) Prec@1 60.938 (59.563) Prec@5 83.594 (81.283) Epoch: [46][1000/10010] Time 0.333 (0.329) Data 0.000 (0.003) Loss 2.1055 (1.7696) Prec@1 53.125 (59.571) Prec@5 75.000 (81.284) Epoch: [46][1010/10010] Time 0.336 (0.329) Data 0.001 (0.003) Loss 1.5251 (1.7713) Prec@1 64.062 (59.549) Prec@5 83.594 (81.253) Epoch: [46][1020/10010] Time 0.318 (0.328) Data 0.001 (0.003) Loss 1.7817 (1.7713) Prec@1 60.156 (59.541) Prec@5 84.375 (81.255) Epoch: [46][1030/10010] Time 0.337 (0.329) Data 0.001 (0.003) Loss 1.5908 (1.7719) Prec@1 63.281 (59.543) Prec@5 83.594 (81.247) Epoch: [46][1040/10010] Time 0.337 (0.329) Data 0.001 (0.003) Loss 1.7143 (1.7730) Prec@1 62.500 (59.534) Prec@5 81.250 (81.229) Epoch: [46][1050/10010] Time 0.327 (0.329) Data 0.001 (0.003) Loss 1.7291 (1.7742) Prec@1 57.812 (59.507) Prec@5 79.688 (81.214) Epoch: [46][1060/10010] Time 0.318 (0.329) Data 0.001 (0.003) Loss 1.9994 (1.7739) Prec@1 58.594 (59.519) Prec@5 80.469 (81.218) Epoch: [46][1070/10010] Time 0.323 (0.329) Data 0.000 (0.003) Loss 1.5769 (1.7737) Prec@1 63.281 (59.530) Prec@5 85.156 (81.234) Epoch: [46][1080/10010] Time 0.343 (0.328) Data 0.000 (0.003) Loss 1.8812 (1.7741) Prec@1 58.594 (59.513) Prec@5 82.031 (81.236) Epoch: [46][1090/10010] Time 0.325 (0.328) Data 0.000 (0.003) Loss 2.0747 (1.7751) Prec@1 54.688 (59.495) Prec@5 78.125 (81.216) Epoch: [46][1100/10010] Time 0.324 (0.328) Data 0.000 (0.003) Loss 1.7752 (1.7744) Prec@1 60.156 (59.499) Prec@5 81.250 (81.229) Epoch: [46][1110/10010] Time 0.329 (0.328) Data 0.001 (0.003) Loss 1.7411 (1.7751) Prec@1 61.719 (59.489) Prec@5 81.250 (81.223) Epoch: [46][1120/10010] Time 0.335 (0.328) Data 0.001 (0.003) Loss 1.4937 (1.7748) Prec@1 67.969 (59.480) Prec@5 85.938 (81.230) Epoch: [46][1130/10010] Time 0.341 (0.328) Data 0.000 (0.003) Loss 1.9047 (1.7748) Prec@1 54.688 (59.475) Prec@5 80.469 (81.230) Epoch: [46][1140/10010] Time 0.342 (0.328) Data 0.000 (0.003) Loss 1.8541 (1.7752) Prec@1 55.469 (59.469) Prec@5 81.250 (81.227) Epoch: [46][1150/10010] Time 0.322 (0.328) Data 0.001 (0.003) Loss 1.8697 (1.7755) Prec@1 56.250 (59.462) Prec@5 81.250 (81.223) Epoch: [46][1160/10010] Time 0.323 (0.328) Data 0.001 (0.003) Loss 1.8965 (1.7764) Prec@1 60.156 (59.448) Prec@5 80.469 (81.218) Epoch: [46][1170/10010] Time 0.329 (0.328) Data 0.001 (0.003) Loss 1.5723 (1.7766) Prec@1 64.062 (59.442) Prec@5 85.156 (81.209) Epoch: [46][1180/10010] Time 0.337 (0.328) Data 0.001 (0.003) Loss 1.9799 (1.7767) Prec@1 57.812 (59.448) Prec@5 76.562 (81.199) Epoch: [46][1190/10010] Time 0.328 (0.328) Data 0.001 (0.003) Loss 1.7123 (1.7764) Prec@1 64.844 (59.452) Prec@5 82.812 (81.204) Epoch: [46][1200/10010] Time 0.312 (0.328) Data 0.000 (0.003) Loss 1.8380 (1.7765) Prec@1 60.156 (59.447) Prec@5 81.250 (81.197) Epoch: [46][1210/10010] Time 0.340 (0.328) Data 0.000 (0.003) Loss 1.8203 (1.7771) Prec@1 55.469 (59.445) Prec@5 78.906 (81.191) Epoch: [46][1220/10010] Time 0.330 (0.328) Data 0.001 (0.003) Loss 1.5977 (1.7763) Prec@1 61.719 (59.450) Prec@5 85.156 (81.207) Epoch: [46][1230/10010] Time 0.328 (0.328) Data 0.000 (0.002) Loss 1.7998 (1.7764) Prec@1 59.375 (59.447) Prec@5 79.688 (81.207) Epoch: [46][1240/10010] Time 0.335 (0.328) Data 0.000 (0.002) Loss 2.0313 (1.7764) Prec@1 60.156 (59.451) Prec@5 79.688 (81.211) Epoch: [46][1250/10010] Time 0.315 (0.328) Data 0.001 (0.002) Loss 2.0558 (1.7769) Prec@1 54.688 (59.434) Prec@5 76.562 (81.203) Epoch: [46][1260/10010] Time 0.329 (0.328) Data 0.001 (0.002) Loss 1.6368 (1.7770) Prec@1 60.938 (59.433) Prec@5 82.031 (81.197) Epoch: [46][1270/10010] Time 0.337 (0.328) Data 0.001 (0.002) Loss 2.1125 (1.7767) Prec@1 57.031 (59.448) Prec@5 78.125 (81.196) Epoch: [46][1280/10010] Time 0.318 (0.328) Data 0.001 (0.002) Loss 1.3996 (1.7764) Prec@1 66.406 (59.449) Prec@5 89.062 (81.196) Epoch: [46][1290/10010] Time 0.318 (0.328) Data 0.000 (0.002) Loss 1.9583 (1.7766) Prec@1 55.469 (59.449) Prec@5 78.906 (81.197) Epoch: [46][1300/10010] Time 0.334 (0.328) Data 0.000 (0.002) Loss 1.4080 (1.7767) Prec@1 64.062 (59.452) Prec@5 86.719 (81.196) Epoch: [46][1310/10010] Time 0.332 (0.328) Data 0.001 (0.002) Loss 1.7782 (1.7775) Prec@1 58.594 (59.440) Prec@5 79.688 (81.176) Epoch: [46][1320/10010] Time 0.320 (0.328) Data 0.001 (0.002) Loss 1.9593 (1.7775) Prec@1 56.250 (59.445) Prec@5 75.781 (81.177) Epoch: [46][1330/10010] Time 0.330 (0.328) Data 0.001 (0.002) Loss 1.9313 (1.7781) Prec@1 50.000 (59.433) Prec@5 82.812 (81.171) Epoch: [46][1340/10010] Time 0.324 (0.328) Data 0.001 (0.002) Loss 1.6736 (1.7777) Prec@1 61.719 (59.435) Prec@5 82.812 (81.177) Epoch: [46][1350/10010] Time 0.321 (0.328) Data 0.001 (0.002) Loss 1.9006 (1.7772) Prec@1 58.594 (59.447) Prec@5 78.906 (81.185) Epoch: [46][1360/10010] Time 0.313 (0.328) Data 0.001 (0.002) Loss 1.6575 (1.7767) Prec@1 62.500 (59.449) Prec@5 82.031 (81.193) Epoch: [46][1370/10010] Time 0.315 (0.328) Data 0.001 (0.002) Loss 1.6853 (1.7763) Prec@1 60.938 (59.471) Prec@5 81.250 (81.192) Epoch: [46][1380/10010] Time 0.338 (0.328) Data 0.001 (0.002) Loss 1.3845 (1.7761) Prec@1 63.281 (59.465) Prec@5 89.062 (81.199) Epoch: [46][1390/10010] Time 0.327 (0.328) Data 0.000 (0.002) Loss 1.6332 (1.7763) Prec@1 64.844 (59.470) Prec@5 83.594 (81.201) Epoch: [46][1400/10010] Time 0.315 (0.328) Data 0.001 (0.002) Loss 1.6478 (1.7763) Prec@1 61.719 (59.488) Prec@5 85.156 (81.211) Epoch: [46][1410/10010] Time 0.322 (0.328) Data 0.000 (0.002) Loss 1.9884 (1.7767) Prec@1 53.125 (59.476) Prec@5 77.344 (81.203) Epoch: [46][1420/10010] Time 0.333 (0.328) Data 0.001 (0.002) Loss 1.8741 (1.7770) Prec@1 58.594 (59.461) Prec@5 82.031 (81.199) Epoch: [46][1430/10010] Time 0.338 (0.328) Data 0.001 (0.002) Loss 1.7309 (1.7770) Prec@1 58.594 (59.465) Prec@5 83.594 (81.197) Epoch: [46][1440/10010] Time 0.322 (0.328) Data 0.000 (0.002) Loss 1.8004 (1.7769) Prec@1 61.719 (59.469) Prec@5 79.688 (81.200) Epoch: [46][1450/10010] Time 0.324 (0.328) Data 0.001 (0.002) Loss 1.7412 (1.7769) Prec@1 58.594 (59.468) Prec@5 80.469 (81.206) Epoch: [46][1460/10010] Time 0.335 (0.328) Data 0.001 (0.002) Loss 1.8169 (1.7768) Prec@1 57.812 (59.468) Prec@5 84.375 (81.207) Epoch: [46][1470/10010] Time 0.320 (0.328) Data 0.001 (0.002) Loss 1.5241 (1.7766) Prec@1 65.625 (59.474) Prec@5 83.594 (81.202) Epoch: [46][1480/10010] Time 0.328 (0.328) Data 0.001 (0.002) Loss 1.4973 (1.7769) Prec@1 61.719 (59.464) Prec@5 85.938 (81.202) Epoch: [46][1490/10010] Time 0.321 (0.328) Data 0.000 (0.002) Loss 1.9458 (1.7776) Prec@1 56.250 (59.457) Prec@5 80.469 (81.191) Epoch: [46][1500/10010] Time 0.319 (0.328) Data 0.001 (0.002) Loss 1.7297 (1.7776) Prec@1 57.031 (59.458) Prec@5 81.250 (81.193) Epoch: [46][1510/10010] Time 0.317 (0.328) Data 0.001 (0.002) Loss 1.6730 (1.7773) Prec@1 59.375 (59.466) Prec@5 81.250 (81.196) Epoch: [46][1520/10010] Time 0.333 (0.328) Data 0.001 (0.002) Loss 1.8199 (1.7771) Prec@1 63.281 (59.475) Prec@5 78.125 (81.196) Epoch: [46][1530/10010] Time 0.318 (0.328) Data 0.001 (0.002) Loss 1.9052 (1.7771) Prec@1 54.688 (59.466) Prec@5 78.906 (81.193) Epoch: [46][1540/10010] Time 0.331 (0.328) Data 0.001 (0.002) Loss 1.9114 (1.7767) Prec@1 60.156 (59.469) Prec@5 76.562 (81.191) Epoch: [46][1550/10010] Time 0.322 (0.328) Data 0.001 (0.002) Loss 1.9185 (1.7770) Prec@1 53.125 (59.460) Prec@5 84.375 (81.192) Epoch: [46][1560/10010] Time 0.339 (0.328) Data 0.000 (0.002) Loss 1.7501 (1.7769) Prec@1 57.031 (59.453) Prec@5 82.031 (81.191) Epoch: [46][1570/10010] Time 0.314 (0.328) Data 0.001 (0.002) Loss 1.6645 (1.7775) Prec@1 62.500 (59.450) Prec@5 83.594 (81.177) Epoch: [46][1580/10010] Time 0.321 (0.328) Data 0.001 (0.002) Loss 1.7830 (1.7773) Prec@1 60.156 (59.442) Prec@5 81.250 (81.186) Epoch: [46][1590/10010] Time 0.334 (0.328) Data 0.001 (0.002) Loss 1.9190 (1.7768) Prec@1 60.938 (59.458) Prec@5 76.562 (81.196) Epoch: [46][1600/10010] Time 0.320 (0.328) Data 0.001 (0.002) Loss 1.5911 (1.7762) Prec@1 61.719 (59.468) Prec@5 82.812 (81.210) Epoch: [46][1610/10010] Time 0.340 (0.328) Data 0.001 (0.002) Loss 1.6650 (1.7767) Prec@1 65.625 (59.465) Prec@5 82.031 (81.202) Epoch: [46][1620/10010] Time 0.316 (0.328) Data 0.000 (0.002) Loss 1.8869 (1.7769) Prec@1 55.469 (59.467) Prec@5 78.125 (81.202) Epoch: [46][1630/10010] Time 0.317 (0.328) Data 0.001 (0.002) Loss 1.7210 (1.7770) Prec@1 59.375 (59.469) Prec@5 83.594 (81.204) Epoch: [46][1640/10010] Time 0.331 (0.328) Data 0.000 (0.002) Loss 1.6955 (1.7771) Prec@1 60.156 (59.459) Prec@5 84.375 (81.208) Epoch: [46][1650/10010] Time 0.315 (0.328) Data 0.000 (0.002) Loss 1.8075 (1.7773) Prec@1 63.281 (59.463) Prec@5 78.125 (81.202) Epoch: [46][1660/10010] Time 0.334 (0.328) Data 0.001 (0.002) Loss 1.5089 (1.7776) Prec@1 69.531 (59.462) Prec@5 85.938 (81.205) Epoch: [46][1670/10010] Time 0.336 (0.328) Data 0.001 (0.002) Loss 1.6287 (1.7774) Prec@1 64.844 (59.468) Prec@5 84.375 (81.212) Epoch: [46][1680/10010] Time 0.337 (0.328) Data 0.001 (0.002) Loss 2.0959 (1.7775) Prec@1 52.344 (59.465) Prec@5 78.125 (81.212) Epoch: [46][1690/10010] Time 0.324 (0.327) Data 0.000 (0.002) Loss 1.4811 (1.7772) Prec@1 66.406 (59.465) Prec@5 82.812 (81.215) Epoch: [46][1700/10010] Time 0.314 (0.327) Data 0.001 (0.002) Loss 1.5997 (1.7766) Prec@1 63.281 (59.480) Prec@5 82.812 (81.221) Epoch: [46][1710/10010] Time 0.329 (0.327) Data 0.001 (0.002) Loss 1.5565 (1.7765) Prec@1 64.062 (59.475) Prec@5 83.594 (81.221) Epoch: [46][1720/10010] Time 0.337 (0.327) Data 0.001 (0.002) Loss 1.8821 (1.7768) Prec@1 60.938 (59.476) Prec@5 77.344 (81.215) Epoch: [46][1730/10010] Time 0.314 (0.327) Data 0.000 (0.002) Loss 1.8776 (1.7773) Prec@1 60.156 (59.474) Prec@5 80.469 (81.210) Epoch: [46][1740/10010] Time 0.332 (0.327) Data 0.001 (0.002) Loss 1.9916 (1.7774) Prec@1 54.688 (59.465) Prec@5 78.125 (81.210) Epoch: [46][1750/10010] Time 0.335 (0.327) Data 0.000 (0.002) Loss 1.6058 (1.7776) Prec@1 61.719 (59.458) Prec@5 82.812 (81.211) Epoch: [46][1760/10010] Time 0.323 (0.327) Data 0.000 (0.002) Loss 1.4978 (1.7773) Prec@1 65.625 (59.457) Prec@5 85.156 (81.211) Epoch: [46][1770/10010] Time 0.313 (0.327) Data 0.001 (0.002) Loss 1.8926 (1.7780) Prec@1 55.469 (59.445) Prec@5 78.906 (81.205) Epoch: [46][1780/10010] Time 0.337 (0.327) Data 0.000 (0.002) Loss 1.9202 (1.7779) Prec@1 58.594 (59.439) Prec@5 75.000 (81.197) Epoch: [46][1790/10010] Time 0.338 (0.327) Data 0.001 (0.002) Loss 1.6940 (1.7779) Prec@1 58.594 (59.430) Prec@5 78.906 (81.194) Epoch: [46][1800/10010] Time 0.325 (0.327) Data 0.001 (0.002) Loss 1.9560 (1.7777) Prec@1 56.250 (59.438) Prec@5 77.344 (81.197) Epoch: [46][1810/10010] Time 0.333 (0.327) Data 0.001 (0.002) Loss 1.7808 (1.7777) Prec@1 55.469 (59.428) Prec@5 80.469 (81.200) Epoch: [46][1820/10010] Time 0.318 (0.327) Data 0.001 (0.002) Loss 1.8654 (1.7777) Prec@1 57.031 (59.435) Prec@5 81.250 (81.198) Epoch: [46][1830/10010] Time 0.325 (0.327) Data 0.001 (0.002) Loss 2.1033 (1.7777) Prec@1 50.000 (59.431) Prec@5 78.906 (81.198) Epoch: [46][1840/10010] Time 0.318 (0.327) Data 0.001 (0.002) Loss 1.8641 (1.7775) Prec@1 53.125 (59.432) Prec@5 82.031 (81.198) Epoch: [46][1850/10010] Time 0.339 (0.327) Data 0.000 (0.002) Loss 1.5040 (1.7773) Prec@1 65.625 (59.432) Prec@5 85.156 (81.209) Epoch: [46][1860/10010] Time 0.335 (0.327) Data 0.001 (0.002) Loss 1.6816 (1.7775) Prec@1 59.375 (59.428) Prec@5 85.938 (81.208) Epoch: [46][1870/10010] Time 0.332 (0.327) Data 0.001 (0.002) Loss 1.6438 (1.7775) Prec@1 61.719 (59.428) Prec@5 82.031 (81.202) Epoch: [46][1880/10010] Time 0.338 (0.328) Data 0.001 (0.002) Loss 1.7453 (1.7778) Prec@1 58.594 (59.416) Prec@5 85.938 (81.200) Epoch: [46][1890/10010] Time 0.318 (0.328) Data 0.000 (0.002) Loss 1.8900 (1.7780) Prec@1 58.594 (59.415) Prec@5 78.125 (81.197) Epoch: [46][1900/10010] Time 0.316 (0.327) Data 0.001 (0.002) Loss 1.9305 (1.7780) Prec@1 60.938 (59.417) Prec@5 76.562 (81.191) Epoch: [46][1910/10010] Time 0.323 (0.327) Data 0.001 (0.002) Loss 1.9502 (1.7787) Prec@1 59.375 (59.401) Prec@5 78.906 (81.179) Epoch: [46][1920/10010] Time 0.328 (0.327) Data 0.001 (0.002) Loss 1.5935 (1.7788) Prec@1 63.281 (59.398) Prec@5 84.375 (81.173) Epoch: [46][1930/10010] Time 0.342 (0.327) Data 0.000 (0.002) Loss 1.6803 (1.7788) Prec@1 62.500 (59.392) Prec@5 79.688 (81.172) Epoch: [46][1940/10010] Time 0.340 (0.328) Data 0.001 (0.002) Loss 1.6899 (1.7786) Prec@1 57.031 (59.397) Prec@5 82.031 (81.176) Epoch: [46][1950/10010] Time 0.320 (0.328) Data 0.001 (0.002) Loss 1.8870 (1.7783) Prec@1 64.062 (59.410) Prec@5 80.469 (81.178) Epoch: [46][1960/10010] Time 0.329 (0.328) Data 0.000 (0.002) Loss 1.7336 (1.7780) Prec@1 56.250 (59.410) Prec@5 81.250 (81.185) Epoch: [46][1970/10010] Time 0.338 (0.328) Data 0.001 (0.002) Loss 2.0528 (1.7785) Prec@1 51.562 (59.410) Prec@5 78.125 (81.179) Epoch: [46][1980/10010] Time 0.333 (0.328) Data 0.001 (0.002) Loss 1.9626 (1.7787) Prec@1 57.812 (59.412) Prec@5 75.000 (81.172) Epoch: [46][1990/10010] Time 0.314 (0.328) Data 0.001 (0.002) Loss 1.3968 (1.7786) Prec@1 66.406 (59.421) Prec@5 86.719 (81.175) Epoch: [46][2000/10010] Time 0.340 (0.328) Data 0.000 (0.002) Loss 2.3328 (1.7790) Prec@1 53.906 (59.411) Prec@5 70.312 (81.165) Epoch: [46][2010/10010] Time 0.332 (0.328) Data 0.001 (0.002) Loss 1.8984 (1.7791) Prec@1 60.156 (59.416) Prec@5 78.906 (81.164) Epoch: [46][2020/10010] Time 0.340 (0.328) Data 0.001 (0.002) Loss 1.8093 (1.7791) Prec@1 60.938 (59.416) Prec@5 81.250 (81.162) Epoch: [46][2030/10010] Time 0.318 (0.328) Data 0.001 (0.002) Loss 1.7287 (1.7798) Prec@1 58.594 (59.410) Prec@5 81.250 (81.151) Epoch: [46][2040/10010] Time 0.334 (0.328) Data 0.001 (0.002) Loss 1.7332 (1.7795) Prec@1 62.500 (59.424) Prec@5 79.688 (81.155) Epoch: [46][2050/10010] Time 0.322 (0.328) Data 0.001 (0.002) Loss 1.6702 (1.7793) Prec@1 59.375 (59.426) Prec@5 82.812 (81.170) Epoch: [46][2060/10010] Time 0.336 (0.328) Data 0.001 (0.002) Loss 1.5296 (1.7790) Prec@1 69.531 (59.437) Prec@5 85.156 (81.173) Epoch: [46][2070/10010] Time 0.331 (0.328) Data 0.001 (0.002) Loss 1.6713 (1.7787) Prec@1 59.375 (59.432) Prec@5 84.375 (81.175) Epoch: [46][2080/10010] Time 0.333 (0.328) Data 0.000 (0.002) Loss 2.0994 (1.7790) Prec@1 52.344 (59.426) Prec@5 76.562 (81.173) Epoch: [46][2090/10010] Time 0.340 (0.328) Data 0.000 (0.002) Loss 1.7716 (1.7790) Prec@1 56.250 (59.426) Prec@5 82.812 (81.172) Epoch: [46][2100/10010] Time 0.309 (0.328) Data 0.001 (0.002) Loss 1.8759 (1.7795) Prec@1 61.719 (59.421) Prec@5 77.344 (81.164) Epoch: [46][2110/10010] Time 0.340 (0.328) Data 0.001 (0.002) Loss 1.9576 (1.7798) Prec@1 56.250 (59.423) Prec@5 79.688 (81.155) Epoch: [46][2120/10010] Time 0.334 (0.328) Data 0.001 (0.002) Loss 1.9002 (1.7799) Prec@1 62.500 (59.430) Prec@5 75.000 (81.149) Epoch: [46][2130/10010] Time 0.342 (0.328) Data 0.000 (0.002) Loss 1.9389 (1.7800) Prec@1 57.031 (59.432) Prec@5 78.125 (81.147) Epoch: [46][2140/10010] Time 0.338 (0.328) Data 0.001 (0.002) Loss 1.9604 (1.7801) Prec@1 54.688 (59.431) Prec@5 78.906 (81.146) Epoch: [46][2150/10010] Time 0.335 (0.328) Data 0.000 (0.002) Loss 1.6580 (1.7801) Prec@1 57.812 (59.436) Prec@5 78.906 (81.147) Epoch: [46][2160/10010] Time 0.331 (0.328) Data 0.001 (0.002) Loss 1.5457 (1.7800) Prec@1 67.969 (59.443) Prec@5 81.250 (81.145) Epoch: [46][2170/10010] Time 0.330 (0.328) Data 0.001 (0.002) Loss 1.8846 (1.7804) Prec@1 60.156 (59.434) Prec@5 78.906 (81.136) Epoch: [46][2180/10010] Time 0.325 (0.328) Data 0.001 (0.002) Loss 2.0580 (1.7807) Prec@1 51.562 (59.433) Prec@5 75.781 (81.131) Epoch: [46][2190/10010] Time 0.334 (0.328) Data 0.001 (0.002) Loss 1.8742 (1.7812) Prec@1 58.594 (59.424) Prec@5 76.562 (81.126) Epoch: [46][2200/10010] Time 0.326 (0.328) Data 0.001 (0.002) Loss 1.7503 (1.7817) Prec@1 61.719 (59.415) Prec@5 85.156 (81.117) Epoch: [46][2210/10010] Time 0.335 (0.328) Data 0.000 (0.002) Loss 1.5692 (1.7813) Prec@1 62.500 (59.427) Prec@5 85.156 (81.122) Epoch: [46][2220/10010] Time 0.332 (0.328) Data 0.001 (0.002) Loss 2.0614 (1.7809) Prec@1 57.812 (59.438) Prec@5 76.562 (81.122) Epoch: [46][2230/10010] Time 0.323 (0.328) Data 0.001 (0.002) Loss 1.7347 (1.7805) Prec@1 59.375 (59.442) Prec@5 82.812 (81.127) Epoch: [46][2240/10010] Time 0.342 (0.328) Data 0.001 (0.002) Loss 1.6831 (1.7807) Prec@1 59.375 (59.445) Prec@5 82.031 (81.122) Epoch: [46][2250/10010] Time 0.319 (0.328) Data 0.000 (0.002) Loss 1.9500 (1.7807) Prec@1 53.125 (59.445) Prec@5 83.594 (81.123) Epoch: [46][2260/10010] Time 0.337 (0.328) Data 0.001 (0.002) Loss 1.7994 (1.7808) Prec@1 64.844 (59.445) Prec@5 82.031 (81.124) Epoch: [46][2270/10010] Time 0.318 (0.328) Data 0.001 (0.002) Loss 1.8157 (1.7803) Prec@1 56.250 (59.456) Prec@5 81.250 (81.133) Epoch: [46][2280/10010] Time 0.325 (0.328) Data 0.001 (0.002) Loss 1.8200 (1.7805) Prec@1 60.938 (59.455) Prec@5 81.250 (81.134) Epoch: [46][2290/10010] Time 0.312 (0.328) Data 0.001 (0.002) Loss 2.0156 (1.7810) Prec@1 51.562 (59.443) Prec@5 78.906 (81.129) Epoch: [46][2300/10010] Time 0.336 (0.328) Data 0.000 (0.002) Loss 1.8099 (1.7804) Prec@1 62.500 (59.457) Prec@5 76.562 (81.137) Epoch: [46][2310/10010] Time 0.334 (0.328) Data 0.001 (0.002) Loss 1.8904 (1.7809) Prec@1 57.812 (59.446) Prec@5 77.344 (81.128) Epoch: [46][2320/10010] Time 0.323 (0.328) Data 0.000 (0.002) Loss 1.9126 (1.7813) Prec@1 59.375 (59.434) Prec@5 79.688 (81.126) Epoch: [46][2330/10010] Time 0.320 (0.328) Data 0.000 (0.002) Loss 2.0829 (1.7815) Prec@1 56.250 (59.434) Prec@5 76.562 (81.117) Epoch: [46][2340/10010] Time 0.325 (0.328) Data 0.000 (0.002) Loss 1.7157 (1.7816) Prec@1 59.375 (59.437) Prec@5 81.250 (81.121) Epoch: [46][2350/10010] Time 0.329 (0.328) Data 0.000 (0.002) Loss 1.9680 (1.7814) Prec@1 57.031 (59.436) Prec@5 76.562 (81.124) Epoch: [46][2360/10010] Time 0.323 (0.328) Data 0.001 (0.002) Loss 1.6253 (1.7813) Prec@1 65.625 (59.439) Prec@5 82.812 (81.124) Epoch: [46][2370/10010] Time 0.325 (0.328) Data 0.000 (0.002) Loss 1.6419 (1.7815) Prec@1 59.375 (59.438) Prec@5 86.719 (81.120) Epoch: [46][2380/10010] Time 0.323 (0.328) Data 0.001 (0.002) Loss 1.7223 (1.7813) Prec@1 59.375 (59.441) Prec@5 79.688 (81.125) Epoch: [46][2390/10010] Time 0.314 (0.328) Data 0.001 (0.002) Loss 1.8469 (1.7811) Prec@1 51.562 (59.443) Prec@5 78.125 (81.126) Epoch: [46][2400/10010] Time 0.322 (0.328) Data 0.001 (0.002) Loss 2.1366 (1.7813) Prec@1 52.344 (59.437) Prec@5 75.000 (81.121) Epoch: [46][2410/10010] Time 0.325 (0.328) Data 0.001 (0.002) Loss 1.9031 (1.7821) Prec@1 57.812 (59.426) Prec@5 78.906 (81.104) Epoch: [46][2420/10010] Time 0.328 (0.328) Data 0.001 (0.002) Loss 1.8298 (1.7817) Prec@1 55.469 (59.440) Prec@5 78.906 (81.105) Epoch: [46][2430/10010] Time 0.321 (0.328) Data 0.001 (0.002) Loss 1.7439 (1.7812) Prec@1 64.062 (59.453) Prec@5 81.250 (81.115) Epoch: [46][2440/10010] Time 0.315 (0.328) Data 0.001 (0.002) Loss 1.2451 (1.7813) Prec@1 67.969 (59.448) Prec@5 92.969 (81.117) Epoch: [46][2450/10010] Time 0.317 (0.328) Data 0.001 (0.002) Loss 1.9805 (1.7818) Prec@1 59.375 (59.444) Prec@5 78.125 (81.113) Epoch: [46][2460/10010] Time 0.340 (0.328) Data 0.001 (0.002) Loss 1.6729 (1.7817) Prec@1 63.281 (59.441) Prec@5 84.375 (81.113) Epoch: [46][2470/10010] Time 0.320 (0.328) Data 0.001 (0.002) Loss 1.8571 (1.7821) Prec@1 56.250 (59.439) Prec@5 78.125 (81.106) Epoch: [46][2480/10010] Time 0.318 (0.328) Data 0.001 (0.002) Loss 1.7298 (1.7823) Prec@1 57.031 (59.438) Prec@5 83.594 (81.104) Epoch: [46][2490/10010] Time 0.333 (0.328) Data 0.000 (0.002) Loss 1.7849 (1.7825) Prec@1 58.594 (59.439) Prec@5 80.469 (81.099) Epoch: [46][2500/10010] Time 0.337 (0.328) Data 0.001 (0.002) Loss 1.8535 (1.7824) Prec@1 57.031 (59.438) Prec@5 81.250 (81.096) Epoch: [46][2510/10010] Time 0.316 (0.328) Data 0.001 (0.002) Loss 1.9605 (1.7825) Prec@1 56.250 (59.438) Prec@5 75.781 (81.095) Epoch: [46][2520/10010] Time 0.321 (0.328) Data 0.001 (0.002) Loss 2.0969 (1.7829) Prec@1 50.781 (59.431) Prec@5 76.562 (81.090) Epoch: [46][2530/10010] Time 0.335 (0.328) Data 0.000 (0.002) Loss 1.9184 (1.7832) Prec@1 55.469 (59.423) Prec@5 80.469 (81.084) Epoch: [46][2540/10010] Time 0.329 (0.328) Data 0.001 (0.002) Loss 1.5664 (1.7833) Prec@1 66.406 (59.419) Prec@5 88.281 (81.080) Epoch: [46][2550/10010] Time 0.340 (0.328) Data 0.001 (0.002) Loss 1.7890 (1.7832) Prec@1 58.594 (59.416) Prec@5 81.250 (81.082) Epoch: [46][2560/10010] Time 0.340 (0.328) Data 0.001 (0.002) Loss 1.6632 (1.7830) Prec@1 60.938 (59.414) Prec@5 85.156 (81.085) Epoch: [46][2570/10010] Time 0.336 (0.328) Data 0.001 (0.002) Loss 1.7025 (1.7833) Prec@1 57.031 (59.410) Prec@5 80.469 (81.080) Epoch: [46][2580/10010] Time 0.311 (0.328) Data 0.000 (0.002) Loss 1.6232 (1.7832) Prec@1 63.281 (59.412) Prec@5 85.938 (81.082) Epoch: [46][2590/10010] Time 0.335 (0.328) Data 0.001 (0.002) Loss 1.8154 (1.7835) Prec@1 59.375 (59.406) Prec@5 84.375 (81.078) Epoch: [46][2600/10010] Time 0.333 (0.328) Data 0.001 (0.002) Loss 1.6042 (1.7831) Prec@1 67.188 (59.416) Prec@5 80.469 (81.083) Epoch: [46][2610/10010] Time 0.316 (0.328) Data 0.000 (0.002) Loss 1.5897 (1.7828) Prec@1 63.281 (59.420) Prec@5 82.812 (81.086) Epoch: [46][2620/10010] Time 0.323 (0.327) Data 0.000 (0.002) Loss 1.9790 (1.7828) Prec@1 52.344 (59.418) Prec@5 78.906 (81.089) Epoch: [46][2630/10010] Time 0.327 (0.327) Data 0.001 (0.002) Loss 1.9132 (1.7828) Prec@1 56.250 (59.413) Prec@5 78.125 (81.087) Epoch: [46][2640/10010] Time 0.312 (0.327) Data 0.001 (0.002) Loss 1.9416 (1.7827) Prec@1 56.250 (59.412) Prec@5 75.000 (81.086) Epoch: [46][2650/10010] Time 0.318 (0.327) Data 0.001 (0.002) Loss 2.0478 (1.7830) Prec@1 56.250 (59.406) Prec@5 74.219 (81.078) Epoch: [46][2660/10010] Time 0.318 (0.327) Data 0.001 (0.002) Loss 1.9297 (1.7831) Prec@1 54.688 (59.401) Prec@5 75.781 (81.074) Epoch: [46][2670/10010] Time 0.333 (0.327) Data 0.001 (0.001) Loss 1.9203 (1.7833) Prec@1 57.812 (59.398) Prec@5 77.344 (81.074) Epoch: [46][2680/10010] Time 0.333 (0.327) Data 0.000 (0.001) Loss 1.6466 (1.7833) Prec@1 62.500 (59.402) Prec@5 85.156 (81.072) Epoch: [46][2690/10010] Time 0.320 (0.327) Data 0.001 (0.001) Loss 1.8458 (1.7836) Prec@1 61.719 (59.392) Prec@5 76.562 (81.067) Epoch: [46][2700/10010] Time 0.323 (0.327) Data 0.001 (0.001) Loss 1.8217 (1.7833) Prec@1 59.375 (59.396) Prec@5 79.688 (81.072) Epoch: [46][2710/10010] Time 0.318 (0.327) Data 0.001 (0.001) Loss 2.1194 (1.7832) Prec@1 54.688 (59.399) Prec@5 71.875 (81.070) Epoch: [46][2720/10010] Time 0.337 (0.327) Data 0.001 (0.001) Loss 1.7570 (1.7830) Prec@1 60.938 (59.402) Prec@5 82.031 (81.077) Epoch: [46][2730/10010] Time 0.318 (0.327) Data 0.001 (0.001) Loss 1.8481 (1.7827) Prec@1 60.156 (59.405) Prec@5 80.469 (81.084) Epoch: [46][2740/10010] Time 0.327 (0.327) Data 0.001 (0.001) Loss 1.5955 (1.7827) Prec@1 64.062 (59.405) Prec@5 83.594 (81.085) Epoch: [46][2750/10010] Time 0.334 (0.327) Data 0.001 (0.001) Loss 1.6647 (1.7827) Prec@1 64.844 (59.401) Prec@5 84.375 (81.092) Epoch: [46][2760/10010] Time 0.319 (0.327) Data 0.001 (0.001) Loss 1.7506 (1.7824) Prec@1 57.031 (59.406) Prec@5 78.125 (81.094) Epoch: [46][2770/10010] Time 0.333 (0.327) Data 0.001 (0.001) Loss 1.7744 (1.7826) Prec@1 62.500 (59.405) Prec@5 82.031 (81.088) Epoch: [46][2780/10010] Time 0.318 (0.327) Data 0.001 (0.001) Loss 1.6936 (1.7823) Prec@1 66.406 (59.409) Prec@5 82.812 (81.091) Epoch: [46][2790/10010] Time 0.332 (0.327) Data 0.001 (0.001) Loss 1.6593 (1.7823) Prec@1 60.156 (59.402) Prec@5 84.375 (81.091) Epoch: [46][2800/10010] Time 0.341 (0.327) Data 0.001 (0.001) Loss 1.6940 (1.7819) Prec@1 57.031 (59.411) Prec@5 82.812 (81.096) Epoch: [46][2810/10010] Time 0.333 (0.327) Data 0.001 (0.001) Loss 1.5299 (1.7817) Prec@1 63.281 (59.415) Prec@5 82.031 (81.100) Epoch: [46][2820/10010] Time 0.310 (0.327) Data 0.001 (0.001) Loss 1.8001 (1.7815) Prec@1 60.938 (59.421) Prec@5 80.469 (81.103) Epoch: [46][2830/10010] Time 0.333 (0.327) Data 0.001 (0.001) Loss 1.8661 (1.7814) Prec@1 60.156 (59.424) Prec@5 82.031 (81.105) Epoch: [46][2840/10010] Time 0.329 (0.327) Data 0.001 (0.001) Loss 1.6167 (1.7819) Prec@1 63.281 (59.418) Prec@5 82.031 (81.098) Epoch: [46][2850/10010] Time 0.334 (0.327) Data 0.001 (0.001) Loss 1.9246 (1.7823) Prec@1 55.469 (59.412) Prec@5 80.469 (81.091) Epoch: [46][2860/10010] Time 0.341 (0.327) Data 0.001 (0.001) Loss 1.7425 (1.7824) Prec@1 55.469 (59.409) Prec@5 81.250 (81.089) Epoch: [46][2870/10010] Time 0.312 (0.327) Data 0.001 (0.001) Loss 1.6305 (1.7827) Prec@1 64.062 (59.408) Prec@5 84.375 (81.090) Epoch: [46][2880/10010] Time 0.312 (0.327) Data 0.001 (0.001) Loss 1.8292 (1.7828) Prec@1 58.594 (59.405) Prec@5 82.031 (81.089) Epoch: [46][2890/10010] Time 0.336 (0.327) Data 0.001 (0.001) Loss 1.7040 (1.7831) Prec@1 54.688 (59.402) Prec@5 89.062 (81.088) Epoch: [46][2900/10010] Time 0.340 (0.328) Data 0.000 (0.001) Loss 2.1901 (1.7836) Prec@1 49.219 (59.391) Prec@5 75.000 (81.082) Epoch: [46][2910/10010] Time 0.326 (0.328) Data 0.000 (0.001) Loss 1.6999 (1.7838) Prec@1 63.281 (59.383) Prec@5 81.250 (81.077) Epoch: [46][2920/10010] Time 0.315 (0.327) Data 0.001 (0.001) Loss 1.8385 (1.7839) Prec@1 61.719 (59.390) Prec@5 79.688 (81.076) Epoch: [46][2930/10010] Time 0.317 (0.327) Data 0.000 (0.001) Loss 1.6827 (1.7839) Prec@1 59.375 (59.389) Prec@5 83.594 (81.076) Epoch: [46][2940/10010] Time 0.313 (0.327) Data 0.001 (0.001) Loss 1.9915 (1.7842) Prec@1 53.125 (59.381) Prec@5 79.688 (81.071) Epoch: [46][2950/10010] Time 0.325 (0.327) Data 0.001 (0.001) Loss 1.9090 (1.7839) Prec@1 56.250 (59.387) Prec@5 82.031 (81.074) Epoch: [46][2960/10010] Time 0.319 (0.327) Data 0.000 (0.001) Loss 1.7998 (1.7839) Prec@1 59.375 (59.385) Prec@5 84.375 (81.075) Epoch: [46][2970/10010] Time 0.333 (0.327) Data 0.001 (0.001) Loss 1.8248 (1.7842) Prec@1 56.250 (59.380) Prec@5 80.469 (81.071) Epoch: [46][2980/10010] Time 0.335 (0.327) Data 0.001 (0.001) Loss 1.9589 (1.7839) Prec@1 54.688 (59.384) Prec@5 78.125 (81.074) Epoch: [46][2990/10010] Time 0.338 (0.327) Data 0.001 (0.001) Loss 1.9162 (1.7842) Prec@1 58.594 (59.378) Prec@5 77.344 (81.072) Epoch: [46][3000/10010] Time 0.321 (0.327) Data 0.000 (0.001) Loss 1.4296 (1.7843) Prec@1 66.406 (59.378) Prec@5 86.719 (81.070) Epoch: [46][3010/10010] Time 0.341 (0.327) Data 0.001 (0.001) Loss 1.6504 (1.7841) Prec@1 60.938 (59.385) Prec@5 82.812 (81.068) /data/vision/torralba/deepscene/lib/anaconda2/lib/python2.7/site-packages/PIL/TiffImagePlugin.py:692: UserWarning: Possibly corrupt EXIF data. Expecting to read 2555904 bytes but only got 0. Skipping tag 0 "Skipping tag %s" % (size, len(data), tag)) Epoch: [46][3020/10010] Time 0.331 (0.328) Data 0.001 (0.001) Loss 1.7817 (1.7840) Prec@1 57.031 (59.386) Prec@5 82.031 (81.072) Epoch: [46][3030/10010] Time 0.318 (0.328) Data 0.000 (0.001) Loss 1.7901 (1.7841) Prec@1 60.156 (59.385) Prec@5 80.469 (81.068) Epoch: [46][3040/10010] Time 0.337 (0.328) Data 0.000 (0.001) Loss 1.9219 (1.7840) Prec@1 56.250 (59.389) Prec@5 73.438 (81.069) Epoch: [46][3050/10010] Time 0.343 (0.328) Data 0.000 (0.001) Loss 1.7556 (1.7841) Prec@1 57.812 (59.390) Prec@5 81.250 (81.067) Epoch: [46][3060/10010] Time 0.329 (0.328) Data 0.001 (0.001) Loss 1.7328 (1.7842) Prec@1 58.594 (59.388) Prec@5 82.812 (81.069) Epoch: [46][3070/10010] Time 0.319 (0.328) Data 0.001 (0.001) Loss 1.7479 (1.7842) Prec@1 60.938 (59.385) Prec@5 82.812 (81.071) Epoch: [46][3080/10010] Time 0.323 (0.328) Data 0.001 (0.001) Loss 1.7218 (1.7845) Prec@1 60.156 (59.385) Prec@5 80.469 (81.066) Epoch: [46][3090/10010] Time 0.317 (0.328) Data 0.001 (0.001) Loss 1.9160 (1.7846) Prec@1 49.219 (59.379) Prec@5 78.906 (81.064) Epoch: [46][3100/10010] Time 0.340 (0.328) Data 0.001 (0.001) Loss 1.7405 (1.7846) Prec@1 58.594 (59.378) Prec@5 83.594 (81.063) Epoch: [46][3110/10010] Time 0.309 (0.328) Data 0.001 (0.001) Loss 1.8878 (1.7846) Prec@1 60.938 (59.380) Prec@5 82.031 (81.064) Epoch: [46][3120/10010] Time 0.317 (0.327) Data 0.000 (0.001) Loss 1.8087 (1.7849) Prec@1 62.500 (59.379) Prec@5 78.906 (81.058) Epoch: [46][3130/10010] Time 0.314 (0.327) Data 0.001 (0.001) Loss 1.8162 (1.7845) Prec@1 64.062 (59.388) Prec@5 80.469 (81.063) /data/vision/torralba/deepscene/lib/anaconda2/lib/python2.7/site-packages/PIL/TiffImagePlugin.py:692: UserWarning: Possibly corrupt EXIF data. Expecting to read 1835008 bytes but only got 0. Skipping tag 0 "Skipping tag %s" % (size, len(data), tag)) Epoch: [46][3140/10010] Time 0.317 (0.327) Data 0.001 (0.001) Loss 1.9676 (1.7845) Prec@1 53.906 (59.389) Prec@5 76.562 (81.059) Epoch: [46][3150/10010] Time 0.311 (0.327) Data 0.001 (0.001) Loss 1.5076 (1.7846) Prec@1 65.625 (59.387) Prec@5 84.375 (81.058) Epoch: [46][3160/10010] Time 0.337 (0.327) Data 0.001 (0.001) Loss 1.8335 (1.7849) Prec@1 56.250 (59.377) Prec@5 82.031 (81.053) Epoch: [46][3170/10010] Time 0.335 (0.327) Data 0.000 (0.001) Loss 1.8684 (1.7849) Prec@1 53.906 (59.379) Prec@5 78.906 (81.053) Epoch: [46][3180/10010] Time 0.330 (0.327) Data 0.001 (0.001) Loss 1.6779 (1.7849) Prec@1 60.156 (59.378) Prec@5 81.250 (81.052) Epoch: [46][3190/10010] Time 0.333 (0.327) Data 0.001 (0.001) Loss 1.9584 (1.7848) Prec@1 57.031 (59.384) Prec@5 76.562 (81.051) Epoch: [46][3200/10010] Time 0.326 (0.327) Data 0.000 (0.001) Loss 1.8647 (1.7848) Prec@1 57.031 (59.384) Prec@5 77.344 (81.052) Epoch: [46][3210/10010] Time 0.312 (0.327) Data 0.000 (0.001) Loss 1.9520 (1.7849) Prec@1 57.031 (59.388) Prec@5 78.125 (81.048) Epoch: [46][3220/10010] Time 0.339 (0.327) Data 0.001 (0.001) Loss 1.7741 (1.7854) Prec@1 60.156 (59.382) Prec@5 84.375 (81.041) Epoch: [46][3230/10010] Time 0.339 (0.327) Data 0.001 (0.001) Loss 1.6424 (1.7855) Prec@1 60.156 (59.379) Prec@5 83.594 (81.041) Epoch: [46][3240/10010] Time 0.338 (0.327) Data 0.000 (0.001) Loss 1.7570 (1.7850) Prec@1 60.156 (59.386) Prec@5 82.812 (81.049) Epoch: [46][3250/10010] Time 0.335 (0.327) Data 0.001 (0.001) Loss 1.7981 (1.7851) Prec@1 61.719 (59.383) Prec@5 85.156 (81.047) Epoch: [46][3260/10010] Time 0.341 (0.327) Data 0.001 (0.001) Loss 1.6681 (1.7850) Prec@1 62.500 (59.381) Prec@5 85.156 (81.050) Epoch: [46][3270/10010] Time 0.329 (0.327) Data 0.001 (0.001) Loss 1.8722 (1.7852) Prec@1 57.812 (59.382) Prec@5 78.906 (81.047) Epoch: [46][3280/10010] Time 0.323 (0.327) Data 0.000 (0.001) Loss 2.1875 (1.7852) Prec@1 51.562 (59.381) Prec@5 77.344 (81.048) Epoch: [46][3290/10010] Time 0.318 (0.327) Data 0.001 (0.001) Loss 1.7585 (1.7853) Prec@1 61.719 (59.377) Prec@5 81.250 (81.048) Epoch: [46][3300/10010] Time 0.335 (0.327) Data 0.001 (0.001) Loss 1.6742 (1.7852) Prec@1 60.938 (59.370) Prec@5 85.156 (81.045) Epoch: [46][3310/10010] Time 0.319 (0.327) Data 0.001 (0.001) Loss 1.8050 (1.7852) Prec@1 63.281 (59.369) Prec@5 81.250 (81.043) Epoch: [46][3320/10010] Time 0.339 (0.327) Data 0.000 (0.001) Loss 1.6624 (1.7853) Prec@1 63.281 (59.371) Prec@5 83.594 (81.044) Epoch: [46][3330/10010] Time 0.318 (0.327) Data 0.001 (0.001) Loss 1.6446 (1.7852) Prec@1 59.375 (59.374) Prec@5 85.156 (81.048) Epoch: [46][3340/10010] Time 0.331 (0.327) Data 0.000 (0.001) Loss 1.8267 (1.7850) Prec@1 59.375 (59.379) Prec@5 77.344 (81.048) Epoch: [46][3350/10010] Time 0.324 (0.327) Data 0.001 (0.001) Loss 1.4497 (1.7848) Prec@1 67.969 (59.385) Prec@5 85.156 (81.050) Epoch: [46][3360/10010] Time 0.316 (0.327) Data 0.001 (0.001) Loss 1.9749 (1.7849) Prec@1 51.562 (59.382) Prec@5 78.125 (81.050) Epoch: [46][3370/10010] Time 0.332 (0.327) Data 0.000 (0.001) Loss 2.1921 (1.7845) Prec@1 55.469 (59.391) Prec@5 71.875 (81.058) Epoch: [46][3380/10010] Time 0.323 (0.327) Data 0.001 (0.001) Loss 1.7979 (1.7843) Prec@1 57.031 (59.394) Prec@5 80.469 (81.062) Epoch: [46][3390/10010] Time 0.330 (0.327) Data 0.001 (0.001) Loss 1.8006 (1.7842) Prec@1 57.812 (59.398) Prec@5 80.469 (81.063) Epoch: [46][3400/10010] Time 0.319 (0.327) Data 0.001 (0.001) Loss 1.9890 (1.7841) Prec@1 55.469 (59.402) Prec@5 78.906 (81.064) Epoch: [46][3410/10010] Time 0.338 (0.327) Data 0.001 (0.001) Loss 1.5726 (1.7841) Prec@1 60.156 (59.401) Prec@5 82.812 (81.065) Epoch: [46][3420/10010] Time 0.337 (0.327) Data 0.001 (0.001) Loss 1.4901 (1.7838) Prec@1 64.062 (59.407) Prec@5 86.719 (81.070) Epoch: [46][3430/10010] Time 0.329 (0.327) Data 0.000 (0.001) Loss 2.1909 (1.7836) Prec@1 57.031 (59.410) Prec@5 74.219 (81.076) Epoch: [46][3440/10010] Time 0.337 (0.327) Data 0.001 (0.001) Loss 1.8020 (1.7836) Prec@1 58.594 (59.412) Prec@5 83.594 (81.081) Epoch: [46][3450/10010] Time 0.312 (0.328) Data 0.001 (0.001) Loss 1.7951 (1.7836) Prec@1 61.719 (59.410) Prec@5 81.250 (81.082) Epoch: [46][3460/10010] Time 0.316 (0.327) Data 0.001 (0.001) Loss 2.0396 (1.7835) Prec@1 57.031 (59.410) Prec@5 74.219 (81.083) Epoch: [46][3470/10010] Time 0.343 (0.327) Data 0.000 (0.001) Loss 1.5164 (1.7833) Prec@1 60.938 (59.410) Prec@5 86.719 (81.086) Epoch: [46][3480/10010] Time 0.325 (0.327) Data 0.001 (0.001) Loss 1.7202 (1.7834) Prec@1 59.375 (59.407) Prec@5 82.031 (81.084) Epoch: [46][3490/10010] Time 0.330 (0.327) Data 0.001 (0.001) Loss 2.0569 (1.7838) Prec@1 53.125 (59.398) Prec@5 77.344 (81.078) Epoch: [46][3500/10010] Time 0.340 (0.327) Data 0.000 (0.001) Loss 1.8156 (1.7841) Prec@1 60.156 (59.394) Prec@5 78.125 (81.072) Epoch: [46][3510/10010] Time 0.336 (0.328) Data 0.001 (0.001) Loss 1.6890 (1.7842) Prec@1 58.594 (59.391) Prec@5 86.719 (81.072) Epoch: [46][3520/10010] Time 0.320 (0.327) Data 0.000 (0.001) Loss 1.4897 (1.7839) Prec@1 64.062 (59.398) Prec@5 84.375 (81.074) Epoch: [46][3530/10010] Time 0.343 (0.328) Data 0.000 (0.001) Loss 2.0037 (1.7841) Prec@1 57.031 (59.395) Prec@5 78.906 (81.074) Epoch: [46][3540/10010] Time 0.316 (0.328) Data 0.001 (0.001) Loss 1.6170 (1.7839) Prec@1 58.594 (59.398) Prec@5 85.938 (81.075) Epoch: [46][3550/10010] Time 0.329 (0.328) Data 0.001 (0.001) Loss 1.3377 (1.7840) Prec@1 66.406 (59.397) Prec@5 89.844 (81.076) Epoch: [46][3560/10010] Time 0.330 (0.327) Data 0.001 (0.001) Loss 1.8388 (1.7841) Prec@1 58.594 (59.401) Prec@5 79.688 (81.072) /data/vision/torralba/deepscene/lib/anaconda2/lib/python2.7/site-packages/PIL/TiffImagePlugin.py:692: UserWarning: Possibly corrupt EXIF data. Expecting to read 19660800 bytes but only got 0. Skipping tag 0 "Skipping tag %s" % (size, len(data), tag)) /data/vision/torralba/deepscene/lib/anaconda2/lib/python2.7/site-packages/PIL/TiffImagePlugin.py:692: UserWarning: Possibly corrupt EXIF data. Expecting to read 18481152 bytes but only got 0. Skipping tag 0 "Skipping tag %s" % (size, len(data), tag)) /data/vision/torralba/deepscene/lib/anaconda2/lib/python2.7/site-packages/PIL/TiffImagePlugin.py:692: UserWarning: Possibly corrupt EXIF data. Expecting to read 37093376 bytes but only got 0. Skipping tag 0 "Skipping tag %s" % (size, len(data), tag)) /data/vision/torralba/deepscene/lib/anaconda2/lib/python2.7/site-packages/PIL/TiffImagePlugin.py:692: UserWarning: Possibly corrupt EXIF data. Expecting to read 39976960 bytes but only got 0. Skipping tag 0 "Skipping tag %s" % (size, len(data), tag)) /data/vision/torralba/deepscene/lib/anaconda2/lib/python2.7/site-packages/PIL/TiffImagePlugin.py:692: UserWarning: Possibly corrupt EXIF data. Expecting to read 34865152 bytes but only got 0. Skipping tag 0 "Skipping tag %s" % (size, len(data), tag)) /data/vision/torralba/deepscene/lib/anaconda2/lib/python2.7/site-packages/PIL/TiffImagePlugin.py:709: UserWarning: Corrupt EXIF data. Expecting to read 12 bytes but only got 10. warnings.warn(str(msg)) Epoch: [46][3570/10010] Time 0.337 (0.327) Data 0.000 (0.001) Loss 2.1175 (1.7842) Prec@1 50.781 (59.398) Prec@5 79.688 (81.070) Epoch: [46][3580/10010] Time 0.318 (0.328) Data 0.001 (0.001) Loss 2.0416 (1.7844) Prec@1 52.344 (59.393) Prec@5 78.125 (81.067) Epoch: [46][3590/10010] Time 0.318 (0.328) Data 0.001 (0.001) Loss 1.8431 (1.7846) Prec@1 59.375 (59.392) Prec@5 78.906 (81.066) Epoch: [46][3600/10010] Time 0.329 (0.328) Data 0.001 (0.001) Loss 2.0427 (1.7846) Prec@1 51.562 (59.391) Prec@5 82.031 (81.069) Epoch: [46][3610/10010] Time 0.348 (0.328) Data 0.000 (0.001) Loss 1.7796 (1.7845) Prec@1 51.562 (59.391) Prec@5 82.812 (81.072) Epoch: [46][3620/10010] Time 0.314 (0.328) Data 0.001 (0.001) Loss 1.8227 (1.7847) Prec@1 55.469 (59.387) Prec@5 80.469 (81.069) Epoch: [46][3630/10010] Time 0.339 (0.328) Data 0.000 (0.001) Loss 1.3866 (1.7847) Prec@1 64.062 (59.392) Prec@5 92.188 (81.072) Epoch: [46][3640/10010] Time 0.318 (0.328) Data 0.000 (0.001) Loss 1.8802 (1.7848) Prec@1 60.938 (59.392) Prec@5 77.344 (81.071) Epoch: [46][3650/10010] Time 0.338 (0.328) Data 0.000 (0.001) Loss 1.7467 (1.7846) Prec@1 60.938 (59.394) Prec@5 81.250 (81.073) Epoch: [46][3660/10010] Time 0.328 (0.328) Data 0.001 (0.001) Loss 2.1150 (1.7846) Prec@1 57.031 (59.395) Prec@5 75.000 (81.076) Epoch: [46][3670/10010] Time 0.339 (0.328) Data 0.001 (0.001) Loss 2.0026 (1.7848) Prec@1 54.688 (59.388) Prec@5 78.125 (81.070) Epoch: [46][3680/10010] Time 0.331 (0.328) Data 0.000 (0.001) Loss 1.7452 (1.7848) Prec@1 59.375 (59.387) Prec@5 78.906 (81.075) Epoch: [46][3690/10010] Time 0.318 (0.328) Data 0.001 (0.001) Loss 1.6462 (1.7848) Prec@1 60.938 (59.387) Prec@5 88.281 (81.079) Epoch: [46][3700/10010] Time 0.328 (0.327) Data 0.001 (0.001) Loss 2.1775 (1.7848) Prec@1 47.656 (59.387) Prec@5 78.125 (81.078) Epoch: [46][3710/10010] Time 0.315 (0.328) Data 0.001 (0.001) Loss 1.8608 (1.7850) Prec@1 56.250 (59.381) Prec@5 80.469 (81.075) Epoch: [46][3720/10010] Time 0.318 (0.327) Data 0.001 (0.001) Loss 2.0023 (1.7854) Prec@1 57.812 (59.379) Prec@5 80.469 (81.072) Epoch: [46][3730/10010] Time 0.324 (0.327) Data 0.000 (0.001) Loss 2.1466 (1.7856) Prec@1 47.656 (59.375) Prec@5 75.781 (81.069) /data/vision/torralba/deepscene/lib/anaconda2/lib/python2.7/site-packages/PIL/TiffImagePlugin.py:692: UserWarning: Possibly corrupt EXIF data. Expecting to read 2555904 bytes but only got 0. Skipping tag 0 "Skipping tag %s" % (size, len(data), tag)) Epoch: [46][3740/10010] Time 0.320 (0.327) Data 0.001 (0.001) Loss 2.0091 (1.7856) Prec@1 56.250 (59.376) Prec@5 78.125 (81.070) Epoch: [46][3750/10010] Time 0.327 (0.327) Data 0.001 (0.001) Loss 1.7331 (1.7855) Prec@1 60.156 (59.375) Prec@5 81.250 (81.071) Epoch: [46][3760/10010] Time 0.325 (0.327) Data 0.001 (0.001) Loss 1.6763 (1.7854) Prec@1 64.062 (59.378) Prec@5 79.688 (81.071) Epoch: [46][3770/10010] Time 0.318 (0.327) Data 0.001 (0.001) Loss 1.6528 (1.7855) Prec@1 66.406 (59.377) Prec@5 85.938 (81.070) Epoch: [46][3780/10010] Time 0.317 (0.327) Data 0.001 (0.001) Loss 1.9168 (1.7857) Prec@1 57.031 (59.378) Prec@5 77.344 (81.069) Epoch: [46][3790/10010] Time 0.331 (0.327) Data 0.001 (0.001) Loss 1.8931 (1.7858) Prec@1 57.812 (59.375) Prec@5 82.812 (81.068) Epoch: [46][3800/10010] Time 0.320 (0.327) Data 0.000 (0.001) Loss 1.7038 (1.7858) Prec@1 59.375 (59.375) Prec@5 82.031 (81.069) Epoch: [46][3810/10010] Time 0.342 (0.327) Data 0.000 (0.001) Loss 1.3997 (1.7857) Prec@1 67.188 (59.378) Prec@5 88.281 (81.071) Epoch: [46][3820/10010] Time 0.331 (0.327) Data 0.001 (0.001) Loss 1.6546 (1.7858) Prec@1 64.062 (59.375) Prec@5 82.031 (81.068) Epoch: [46][3830/10010] Time 0.323 (0.327) Data 0.001 (0.001) Loss 1.7174 (1.7858) Prec@1 63.281 (59.375) Prec@5 81.250 (81.070) Epoch: [46][3840/10010] Time 0.322 (0.327) Data 0.001 (0.001) Loss 1.8886 (1.7859) Prec@1 59.375 (59.374) Prec@5 82.031 (81.068) Epoch: [46][3850/10010] Time 0.330 (0.327) Data 0.001 (0.001) Loss 1.6491 (1.7859) Prec@1 58.594 (59.373) Prec@5 86.719 (81.072) Epoch: [46][3860/10010] Time 0.325 (0.327) Data 0.000 (0.001) Loss 1.5930 (1.7857) Prec@1 64.062 (59.376) Prec@5 84.375 (81.073) Epoch: [46][3870/10010] Time 0.328 (0.327) Data 0.001 (0.001) Loss 1.5934 (1.7859) Prec@1 59.375 (59.372) Prec@5 82.031 (81.074) Epoch: [46][3880/10010] Time 0.323 (0.327) Data 0.000 (0.001) Loss 1.7301 (1.7862) Prec@1 63.281 (59.367) Prec@5 81.250 (81.068) Epoch: [46][3890/10010] Time 0.327 (0.327) Data 0.001 (0.001) Loss 1.3971 (1.7863) Prec@1 66.406 (59.363) Prec@5 87.500 (81.066) Epoch: [46][3900/10010] Time 0.337 (0.327) Data 0.001 (0.001) Loss 1.9074 (1.7864) Prec@1 57.031 (59.362) Prec@5 81.250 (81.064) Epoch: [46][3910/10010] Time 0.317 (0.327) Data 0.001 (0.001) Loss 1.7650 (1.7862) Prec@1 58.594 (59.367) Prec@5 82.031 (81.067) Epoch: [46][3920/10010] Time 0.334 (0.327) Data 0.001 (0.001) Loss 1.6415 (1.7861) Prec@1 66.406 (59.368) Prec@5 83.594 (81.067) Epoch: [46][3930/10010] Time 0.319 (0.327) Data 0.001 (0.001) Loss 1.8254 (1.7861) Prec@1 57.812 (59.366) Prec@5 78.125 (81.065) Epoch: [46][3940/10010] Time 0.314 (0.327) Data 0.001 (0.001) Loss 1.9602 (1.7861) Prec@1 55.469 (59.366) Prec@5 80.469 (81.067) Epoch: [46][3950/10010] Time 0.318 (0.327) Data 0.001 (0.001) Loss 1.4638 (1.7861) Prec@1 63.281 (59.361) Prec@5 85.156 (81.064) Epoch: [46][3960/10010] Time 0.313 (0.327) Data 0.000 (0.001) Loss 2.1621 (1.7862) Prec@1 51.562 (59.356) Prec@5 78.125 (81.064) Epoch: [46][3970/10010] Time 0.336 (0.327) Data 0.001 (0.001) Loss 2.0439 (1.7863) Prec@1 55.469 (59.354) Prec@5 76.562 (81.061) Epoch: [46][3980/10010] Time 0.334 (0.327) Data 0.001 (0.001) Loss 1.9901 (1.7866) Prec@1 57.031 (59.348) Prec@5 77.344 (81.058) Epoch: [46][3990/10010] Time 0.336 (0.327) Data 0.001 (0.001) Loss 1.8553 (1.7866) Prec@1 51.562 (59.344) Prec@5 78.906 (81.058) Epoch: [46][4000/10010] Time 0.332 (0.327) Data 0.001 (0.001) Loss 2.0461 (1.7868) Prec@1 53.125 (59.339) Prec@5 74.219 (81.054) Epoch: [46][4010/10010] Time 0.331 (0.327) Data 0.001 (0.001) Loss 1.8716 (1.7871) Prec@1 59.375 (59.334) Prec@5 80.469 (81.050) Epoch: [46][4020/10010] Time 0.327 (0.327) Data 0.000 (0.001) Loss 1.8094 (1.7870) Prec@1 58.594 (59.331) Prec@5 80.469 (81.052) Epoch: [46][4030/10010] Time 0.337 (0.327) Data 0.000 (0.001) Loss 2.3193 (1.7872) Prec@1 52.344 (59.329) Prec@5 76.562 (81.049) Epoch: [46][4040/10010] Time 0.329 (0.327) Data 0.001 (0.001) Loss 1.8986 (1.7874) Prec@1 56.250 (59.327) Prec@5 79.688 (81.045) Epoch: [46][4050/10010] Time 0.338 (0.327) Data 0.001 (0.001) Loss 2.4477 (1.7875) Prec@1 48.438 (59.328) Prec@5 71.094 (81.039) Epoch: [46][4060/10010] Time 0.330 (0.327) Data 0.000 (0.001) Loss 2.0720 (1.7878) Prec@1 53.125 (59.324) Prec@5 74.219 (81.033) Epoch: [46][4070/10010] Time 0.337 (0.327) Data 0.001 (0.001) Loss 1.7685 (1.7881) Prec@1 60.156 (59.321) Prec@5 78.906 (81.026) Epoch: [46][4080/10010] Time 0.330 (0.327) Data 0.001 (0.001) Loss 1.7753 (1.7880) Prec@1 58.594 (59.323) Prec@5 81.250 (81.026) Epoch: [46][4090/10010] Time 0.341 (0.327) Data 0.001 (0.001) Loss 1.7346 (1.7881) Prec@1 57.031 (59.321) Prec@5 83.594 (81.026) Epoch: [46][4100/10010] Time 0.322 (0.327) Data 0.001 (0.001) Loss 2.0572 (1.7881) Prec@1 50.781 (59.319) Prec@5 78.125 (81.027) Epoch: [46][4110/10010] Time 0.322 (0.327) Data 0.001 (0.001) Loss 1.6958 (1.7882) Prec@1 57.031 (59.316) Prec@5 84.375 (81.028) Epoch: [46][4120/10010] Time 0.326 (0.327) Data 0.001 (0.001) Loss 1.7945 (1.7882) Prec@1 56.250 (59.315) Prec@5 79.688 (81.027) Epoch: [46][4130/10010] Time 0.318 (0.327) Data 0.001 (0.001) Loss 1.6768 (1.7881) Prec@1 57.031 (59.314) Prec@5 82.031 (81.031) Epoch: [46][4140/10010] Time 0.315 (0.327) Data 0.001 (0.001) Loss 1.6328 (1.7880) Prec@1 58.594 (59.314) Prec@5 83.594 (81.034) Epoch: [46][4150/10010] Time 0.324 (0.327) Data 0.000 (0.001) Loss 1.9031 (1.7881) Prec@1 55.469 (59.310) Prec@5 82.031 (81.034) Epoch: [46][4160/10010] Time 0.314 (0.327) Data 0.001 (0.001) Loss 1.7221 (1.7882) Prec@1 60.156 (59.310) Prec@5 79.688 (81.031) Epoch: [46][4170/10010] Time 0.318 (0.327) Data 0.001 (0.001) Loss 1.8157 (1.7880) Prec@1 64.062 (59.314) Prec@5 82.812 (81.033) Epoch: [46][4180/10010] Time 0.317 (0.327) Data 0.001 (0.001) Loss 1.4903 (1.7881) Prec@1 61.719 (59.312) Prec@5 85.156 (81.034) Epoch: [46][4190/10010] Time 0.325 (0.327) Data 0.001 (0.001) Loss 1.7913 (1.7882) Prec@1 54.688 (59.310) Prec@5 83.594 (81.037) Epoch: [46][4200/10010] Time 0.325 (0.327) Data 0.001 (0.001) Loss 2.1602 (1.7884) Prec@1 53.125 (59.301) Prec@5 72.656 (81.033) Epoch: [46][4210/10010] Time 0.324 (0.327) Data 0.001 (0.001) Loss 1.9043 (1.7885) Prec@1 54.688 (59.298) Prec@5 79.688 (81.033) Epoch: [46][4220/10010] Time 0.337 (0.327) Data 0.001 (0.001) Loss 1.6982 (1.7888) Prec@1 51.562 (59.288) Prec@5 80.469 (81.027) Epoch: [46][4230/10010] Time 0.324 (0.327) Data 0.000 (0.001) Loss 1.6564 (1.7889) Prec@1 63.281 (59.291) Prec@5 81.250 (81.027) Epoch: [46][4240/10010] Time 0.318 (0.327) Data 0.001 (0.001) Loss 1.7661 (1.7887) Prec@1 58.594 (59.293) Prec@5 83.594 (81.030) Epoch: [46][4250/10010] Time 0.317 (0.327) Data 0.001 (0.001) Loss 1.4896 (1.7886) Prec@1 64.844 (59.297) Prec@5 88.281 (81.033) Epoch: [46][4260/10010] Time 0.315 (0.327) Data 0.001 (0.001) Loss 1.7490 (1.7885) Prec@1 58.594 (59.298) Prec@5 80.469 (81.036) Epoch: [46][4270/10010] Time 0.323 (0.327) Data 0.000 (0.001) Loss 1.5737 (1.7885) Prec@1 60.938 (59.299) Prec@5 82.031 (81.035) Epoch: [46][4280/10010] Time 0.333 (0.327) Data 0.001 (0.001) Loss 1.9159 (1.7887) Prec@1 55.469 (59.296) Prec@5 76.562 (81.031) Epoch: [46][4290/10010] Time 0.315 (0.327) Data 0.001 (0.001) Loss 1.7135 (1.7888) Prec@1 61.719 (59.296) Prec@5 82.812 (81.029) Epoch: [46][4300/10010] Time 0.314 (0.327) Data 0.000 (0.001) Loss 1.6779 (1.7887) Prec@1 64.844 (59.298) Prec@5 82.812 (81.032) Epoch: [46][4310/10010] Time 0.336 (0.327) Data 0.001 (0.001) Loss 1.7893 (1.7888) Prec@1 57.031 (59.297) Prec@5 78.125 (81.031) Epoch: [46][4320/10010] Time 0.325 (0.327) Data 0.000 (0.001) Loss 1.9210 (1.7888) Prec@1 61.719 (59.300) Prec@5 79.688 (81.034) Epoch: [46][4330/10010] Time 0.338 (0.327) Data 0.001 (0.001) Loss 2.0375 (1.7888) Prec@1 57.812 (59.302) Prec@5 75.781 (81.032) Epoch: [46][4340/10010] Time 0.328 (0.327) Data 0.001 (0.001) Loss 1.8844 (1.7890) Prec@1 55.469 (59.300) Prec@5 80.469 (81.028) Epoch: [46][4350/10010] Time 0.339 (0.327) Data 0.000 (0.001) Loss 1.4107 (1.7889) Prec@1 64.062 (59.302) Prec@5 85.938 (81.030) Epoch: [46][4360/10010] Time 0.319 (0.327) Data 0.000 (0.001) Loss 1.7947 (1.7889) Prec@1 61.719 (59.299) Prec@5 83.594 (81.028) Epoch: [46][4370/10010] Time 0.333 (0.327) Data 0.001 (0.001) Loss 1.8893 (1.7890) Prec@1 53.906 (59.299) Prec@5 83.594 (81.027) Epoch: [46][4380/10010] Time 0.313 (0.327) Data 0.001 (0.001) Loss 1.8273 (1.7889) Prec@1 60.938 (59.300) Prec@5 80.469 (81.028) Epoch: [46][4390/10010] Time 0.339 (0.327) Data 0.001 (0.001) Loss 1.8601 (1.7888) Prec@1 55.469 (59.301) Prec@5 78.125 (81.030) Epoch: [46][4400/10010] Time 0.321 (0.327) Data 0.000 (0.001) Loss 1.7648 (1.7887) Prec@1 54.688 (59.304) Prec@5 83.594 (81.034) Epoch: [46][4410/10010] Time 0.314 (0.327) Data 0.001 (0.001) Loss 1.6948 (1.7888) Prec@1 56.250 (59.301) Prec@5 82.031 (81.034) Epoch: [46][4420/10010] Time 0.331 (0.327) Data 0.001 (0.001) Loss 1.6381 (1.7887) Prec@1 59.375 (59.301) Prec@5 83.594 (81.035) Epoch: [46][4430/10010] Time 0.326 (0.327) Data 0.001 (0.001) Loss 1.7292 (1.7886) Prec@1 57.031 (59.302) Prec@5 82.031 (81.036) Epoch: [46][4440/10010] Time 0.322 (0.327) Data 0.001 (0.001) Loss 1.9449 (1.7887) Prec@1 58.594 (59.303) Prec@5 79.688 (81.036) Epoch: [46][4450/10010] Time 0.311 (0.327) Data 0.001 (0.001) Loss 1.9851 (1.7886) Prec@1 53.125 (59.303) Prec@5 78.125 (81.037) Epoch: [46][4460/10010] Time 0.319 (0.327) Data 0.000 (0.001) Loss 1.7531 (1.7884) Prec@1 58.594 (59.302) Prec@5 82.812 (81.041) Epoch: [46][4470/10010] Time 0.333 (0.327) Data 0.001 (0.001) Loss 1.6409 (1.7882) Prec@1 60.156 (59.304) Prec@5 85.156 (81.043) Epoch: [46][4480/10010] Time 0.318 (0.327) Data 0.000 (0.001) Loss 1.6725 (1.7883) Prec@1 60.938 (59.302) Prec@5 82.812 (81.044) Epoch: [46][4490/10010] Time 0.341 (0.327) Data 0.001 (0.001) Loss 1.7924 (1.7884) Prec@1 53.906 (59.301) Prec@5 79.688 (81.043) Epoch: [46][4500/10010] Time 0.333 (0.327) Data 0.001 (0.001) Loss 2.0208 (1.7884) Prec@1 61.719 (59.300) Prec@5 77.344 (81.044) Epoch: [46][4510/10010] Time 0.334 (0.327) Data 0.001 (0.001) Loss 1.9952 (1.7885) Prec@1 57.812 (59.297) Prec@5 75.000 (81.042) Epoch: [46][4520/10010] Time 0.331 (0.327) Data 0.000 (0.001) Loss 1.8294 (1.7884) Prec@1 60.938 (59.299) Prec@5 80.469 (81.044) Epoch: [46][4530/10010] Time 0.328 (0.327) Data 0.000 (0.001) Loss 1.7880 (1.7885) Prec@1 55.469 (59.299) Prec@5 79.688 (81.041) Epoch: [46][4540/10010] Time 0.324 (0.327) Data 0.001 (0.001) Loss 2.0581 (1.7886) Prec@1 57.812 (59.296) Prec@5 76.562 (81.039) Epoch: [46][4550/10010] Time 0.332 (0.327) Data 0.000 (0.001) Loss 2.2262 (1.7887) Prec@1 50.000 (59.292) Prec@5 73.438 (81.039) Epoch: [46][4560/10010] Time 0.340 (0.327) Data 0.001 (0.001) Loss 1.8497 (1.7886) Prec@1 55.469 (59.296) Prec@5 81.250 (81.040) Epoch: [46][4570/10010] Time 0.335 (0.327) Data 0.001 (0.001) Loss 1.4812 (1.7886) Prec@1 66.406 (59.299) Prec@5 85.156 (81.039) Epoch: [46][4580/10010] Time 0.331 (0.327) Data 0.000 (0.001) Loss 1.7584 (1.7885) Prec@1 61.719 (59.299) Prec@5 80.469 (81.040) Epoch: [46][4590/10010] Time 0.338 (0.327) Data 0.001 (0.001) Loss 1.7813 (1.7887) Prec@1 54.688 (59.292) Prec@5 80.469 (81.038) Epoch: [46][4600/10010] Time 0.338 (0.327) Data 0.000 (0.001) Loss 1.9075 (1.7887) Prec@1 56.250 (59.294) Prec@5 78.906 (81.035) Epoch: [46][4610/10010] Time 0.331 (0.327) Data 0.001 (0.001) Loss 1.9123 (1.7889) Prec@1 59.375 (59.291) Prec@5 82.031 (81.033) Epoch: [46][4620/10010] Time 0.323 (0.327) Data 0.001 (0.001) Loss 1.8475 (1.7888) Prec@1 58.594 (59.291) Prec@5 78.906 (81.033) Epoch: [46][4630/10010] Time 0.339 (0.327) Data 0.001 (0.001) Loss 1.8219 (1.7889) Prec@1 58.594 (59.289) Prec@5 85.156 (81.032) Epoch: [46][4640/10010] Time 0.338 (0.327) Data 0.001 (0.001) Loss 1.8303 (1.7890) Prec@1 56.250 (59.283) Prec@5 82.031 (81.032) Epoch: [46][4650/10010] Time 0.321 (0.327) Data 0.000 (0.001) Loss 1.7990 (1.7891) Prec@1 59.375 (59.281) Prec@5 82.031 (81.030) Epoch: [46][4660/10010] Time 0.317 (0.327) Data 0.001 (0.001) Loss 1.6631 (1.7892) Prec@1 60.938 (59.280) Prec@5 78.906 (81.026) Epoch: [46][4670/10010] Time 0.321 (0.327) Data 0.001 (0.001) Loss 1.7771 (1.7892) Prec@1 57.031 (59.278) Prec@5 83.594 (81.028) Epoch: [46][4680/10010] Time 0.340 (0.327) Data 0.001 (0.001) Loss 2.0887 (1.7893) Prec@1 53.125 (59.276) Prec@5 77.344 (81.028) Epoch: [46][4690/10010] Time 0.324 (0.327) Data 0.000 (0.001) Loss 1.9008 (1.7893) Prec@1 56.250 (59.274) Prec@5 82.031 (81.027) Epoch: [46][4700/10010] Time 0.319 (0.327) Data 0.000 (0.001) Loss 1.7849 (1.7894) Prec@1 59.375 (59.275) Prec@5 78.125 (81.026) Epoch: [46][4710/10010] Time 0.332 (0.327) Data 0.001 (0.001) Loss 2.1387 (1.7897) Prec@1 53.125 (59.271) Prec@5 74.219 (81.021) Epoch: [46][4720/10010] Time 0.315 (0.327) Data 0.001 (0.001) Loss 1.9995 (1.7897) Prec@1 62.500 (59.276) Prec@5 77.344 (81.020) Epoch: [46][4730/10010] Time 0.320 (0.327) Data 0.001 (0.001) Loss 2.1804 (1.7898) Prec@1 56.250 (59.272) Prec@5 78.125 (81.020) Epoch: [46][4740/10010] Time 0.325 (0.327) Data 0.001 (0.001) Loss 1.8968 (1.7899) Prec@1 61.719 (59.268) Prec@5 79.688 (81.019) Epoch: [46][4750/10010] Time 0.313 (0.327) Data 0.001 (0.001) Loss 1.9196 (1.7900) Prec@1 59.375 (59.265) Prec@5 81.250 (81.019) /data/vision/torralba/deepscene/lib/anaconda2/lib/python2.7/site-packages/PIL/TiffImagePlugin.py:709: UserWarning: Corrupt EXIF data. Expecting to read 4 bytes but only got 0. warnings.warn(str(msg)) Epoch: [46][4760/10010] Time 0.315 (0.327) Data 0.000 (0.001) Loss 1.6959 (1.7901) Prec@1 61.719 (59.264) Prec@5 83.594 (81.017) Epoch: [46][4770/10010] Time 0.328 (0.327) Data 0.000 (0.001) Loss 1.7220 (1.7901) Prec@1 59.375 (59.263) Prec@5 80.469 (81.015) Epoch: [46][4780/10010] Time 0.322 (0.327) Data 0.001 (0.001) Loss 1.8113 (1.7901) Prec@1 53.906 (59.261) Prec@5 78.906 (81.016) Epoch: [46][4790/10010] Time 0.320 (0.327) Data 0.001 (0.001) Loss 2.0080 (1.7903) Prec@1 59.375 (59.261) Prec@5 78.125 (81.015) Epoch: [46][4800/10010] Time 0.322 (0.327) Data 0.001 (0.001) Loss 1.6950 (1.7903) Prec@1 57.812 (59.260) Prec@5 82.812 (81.015) Epoch: [46][4810/10010] Time 0.338 (0.327) Data 0.000 (0.001) Loss 1.9091 (1.7902) Prec@1 55.469 (59.263) Prec@5 81.250 (81.017) Epoch: [46][4820/10010] Time 0.334 (0.327) Data 0.001 (0.001) Loss 1.8469 (1.7903) Prec@1 56.250 (59.262) Prec@5 76.562 (81.018) Epoch: [46][4830/10010] Time 0.327 (0.327) Data 0.001 (0.001) Loss 1.6298 (1.7905) Prec@1 60.938 (59.260) Prec@5 82.031 (81.016) Epoch: [46][4840/10010] Time 0.323 (0.327) Data 0.000 (0.001) Loss 1.8818 (1.7905) Prec@1 60.156 (59.262) Prec@5 82.812 (81.017) Epoch: [46][4850/10010] Time 0.321 (0.327) Data 0.001 (0.001) Loss 1.5865 (1.7906) Prec@1 62.500 (59.260) Prec@5 84.375 (81.014) Epoch: [46][4860/10010] Time 0.327 (0.327) Data 0.001 (0.001) Loss 2.0675 (1.7906) Prec@1 50.781 (59.263) Prec@5 75.781 (81.014) Epoch: [46][4870/10010] Time 0.312 (0.327) Data 0.001 (0.001) Loss 1.6005 (1.7904) Prec@1 65.625 (59.267) Prec@5 82.031 (81.016) Epoch: [46][4880/10010] Time 0.315 (0.327) Data 0.000 (0.001) Loss 1.6663 (1.7902) Prec@1 58.594 (59.269) Prec@5 82.812 (81.020) Epoch: [46][4890/10010] Time 0.320 (0.327) Data 0.001 (0.001) Loss 1.4720 (1.7901) Prec@1 64.062 (59.268) Prec@5 86.719 (81.020) Epoch: [46][4900/10010] Time 0.320 (0.327) Data 0.001 (0.001) Loss 1.6026 (1.7901) Prec@1 66.406 (59.271) Prec@5 85.156 (81.019) Epoch: [46][4910/10010] Time 0.338 (0.327) Data 0.000 (0.001) Loss 1.6352 (1.7901) Prec@1 60.156 (59.270) Prec@5 82.812 (81.018) Epoch: [46][4920/10010] Time 0.319 (0.327) Data 0.001 (0.001) Loss 1.8266 (1.7900) Prec@1 60.938 (59.271) Prec@5 81.250 (81.018) Epoch: [46][4930/10010] Time 0.331 (0.327) Data 0.000 (0.001) Loss 1.9026 (1.7900) Prec@1 56.250 (59.273) Prec@5 76.562 (81.018) Epoch: [46][4940/10010] Time 0.328 (0.327) Data 0.001 (0.001) Loss 1.5072 (1.7899) Prec@1 66.406 (59.275) Prec@5 85.938 (81.020) Epoch: [46][4950/10010] Time 0.324 (0.327) Data 0.001 (0.001) Loss 1.6795 (1.7900) Prec@1 62.500 (59.274) Prec@5 82.031 (81.019) Epoch: [46][4960/10010] Time 0.328 (0.327) Data 0.001 (0.001) Loss 1.8382 (1.7901) Prec@1 60.156 (59.272) Prec@5 78.906 (81.018) Epoch: [46][4970/10010] Time 0.337 (0.327) Data 0.000 (0.001) Loss 1.9380 (1.7901) Prec@1 57.031 (59.274) Prec@5 76.562 (81.016) Epoch: [46][4980/10010] Time 0.317 (0.327) Data 0.000 (0.001) Loss 1.5666 (1.7900) Prec@1 63.281 (59.274) Prec@5 85.156 (81.019) Epoch: [46][4990/10010] Time 0.340 (0.327) Data 0.001 (0.001) Loss 1.6015 (1.7898) Prec@1 63.281 (59.280) Prec@5 83.594 (81.022) Epoch: [46][5000/10010] Time 0.337 (0.327) Data 0.000 (0.001) Loss 1.7970 (1.7898) Prec@1 56.250 (59.283) Prec@5 80.469 (81.026) Epoch: [46][5010/10010] Time 0.326 (0.327) Data 0.001 (0.001) Loss 1.7147 (1.7897) Prec@1 60.938 (59.283) Prec@5 82.812 (81.025) Epoch: [46][5020/10010] Time 0.330 (0.327) Data 0.000 (0.001) Loss 1.7281 (1.7897) Prec@1 60.938 (59.282) Prec@5 85.938 (81.025) Epoch: [46][5030/10010] Time 0.318 (0.327) Data 0.001 (0.001) Loss 2.0549 (1.7899) Prec@1 52.344 (59.280) Prec@5 78.125 (81.025) Epoch: [46][5040/10010] Time 0.320 (0.327) Data 0.000 (0.001) Loss 2.0281 (1.7900) Prec@1 57.812 (59.281) Prec@5 74.219 (81.025) Epoch: [46][5050/10010] Time 0.317 (0.327) Data 0.001 (0.001) Loss 1.8878 (1.7899) Prec@1 57.812 (59.283) Prec@5 78.125 (81.025) Epoch: [46][5060/10010] Time 0.322 (0.327) Data 0.001 (0.001) Loss 1.8131 (1.7896) Prec@1 62.500 (59.286) Prec@5 78.906 (81.029) Epoch: [46][5070/10010] Time 0.318 (0.327) Data 0.000 (0.001) Loss 1.9576 (1.7896) Prec@1 54.688 (59.287) Prec@5 82.812 (81.029) Epoch: [46][5080/10010] Time 0.331 (0.327) Data 0.001 (0.001) Loss 2.1464 (1.7897) Prec@1 51.562 (59.285) Prec@5 75.000 (81.027) Epoch: [46][5090/10010] Time 0.312 (0.327) Data 0.000 (0.001) Loss 1.9347 (1.7898) Prec@1 52.344 (59.283) Prec@5 77.344 (81.024) Epoch: [46][5100/10010] Time 0.322 (0.327) Data 0.000 (0.001) Loss 1.9536 (1.7896) Prec@1 58.594 (59.284) Prec@5 76.562 (81.028) Epoch: [46][5110/10010] Time 0.332 (0.327) Data 0.001 (0.001) Loss 1.6524 (1.7896) Prec@1 60.156 (59.283) Prec@5 85.156 (81.027) Epoch: [46][5120/10010] Time 0.335 (0.327) Data 0.001 (0.001) Loss 1.8310 (1.7897) Prec@1 63.281 (59.284) Prec@5 81.250 (81.026) Epoch: [46][5130/10010] Time 0.315 (0.327) Data 0.001 (0.001) Loss 1.6361 (1.7895) Prec@1 61.719 (59.287) Prec@5 85.156 (81.030) Epoch: [46][5140/10010] Time 0.324 (0.327) Data 0.001 (0.001) Loss 1.8630 (1.7898) Prec@1 57.812 (59.280) Prec@5 79.688 (81.027) Epoch: [46][5150/10010] Time 0.316 (0.327) Data 0.001 (0.001) Loss 1.4611 (1.7897) Prec@1 72.656 (59.281) Prec@5 85.938 (81.028) Epoch: [46][5160/10010] Time 0.335 (0.327) Data 0.001 (0.001) Loss 1.5888 (1.7898) Prec@1 59.375 (59.278) Prec@5 89.062 (81.028) Epoch: [46][5170/10010] Time 0.341 (0.327) Data 0.000 (0.001) Loss 1.7669 (1.7898) Prec@1 59.375 (59.279) Prec@5 79.688 (81.027) Epoch: [46][5180/10010] Time 0.315 (0.327) Data 0.001 (0.001) Loss 2.1457 (1.7899) Prec@1 53.906 (59.279) Prec@5 78.906 (81.027) Epoch: [46][5190/10010] Time 0.317 (0.327) Data 0.000 (0.001) Loss 1.4122 (1.7898) Prec@1 66.406 (59.280) Prec@5 84.375 (81.026) Epoch: [46][5200/10010] Time 0.336 (0.327) Data 0.000 (0.001) Loss 1.5962 (1.7900) Prec@1 59.375 (59.276) Prec@5 85.156 (81.022) Epoch: [46][5210/10010] Time 0.318 (0.327) Data 0.001 (0.001) Loss 1.8657 (1.7902) Prec@1 60.156 (59.274) Prec@5 82.031 (81.021) Epoch: [46][5220/10010] Time 0.328 (0.327) Data 0.001 (0.001) Loss 2.1158 (1.7902) Prec@1 58.594 (59.276) Prec@5 78.125 (81.022) Epoch: [46][5230/10010] Time 0.340 (0.327) Data 0.000 (0.001) Loss 1.9631 (1.7904) Prec@1 53.906 (59.273) Prec@5 80.469 (81.019) Epoch: [46][5240/10010] Time 0.342 (0.327) Data 0.001 (0.001) Loss 1.6940 (1.7906) Prec@1 61.719 (59.272) Prec@5 82.812 (81.016) Epoch: [46][5250/10010] Time 0.310 (0.327) Data 0.001 (0.001) Loss 1.7629 (1.7906) Prec@1 60.156 (59.273) Prec@5 83.594 (81.017) Epoch: [46][5260/10010] Time 0.338 (0.327) Data 0.001 (0.001) Loss 1.5902 (1.7904) Prec@1 63.281 (59.276) Prec@5 86.719 (81.019) Epoch: [46][5270/10010] Time 0.338 (0.327) Data 0.001 (0.001) Loss 1.9324 (1.7906) Prec@1 58.594 (59.272) Prec@5 80.469 (81.013) Epoch: [46][5280/10010] Time 0.321 (0.327) Data 0.000 (0.001) Loss 1.7422 (1.7908) Prec@1 60.938 (59.267) Prec@5 78.906 (81.014) Epoch: [46][5290/10010] Time 0.332 (0.327) Data 0.001 (0.001) Loss 1.8091 (1.7908) Prec@1 60.938 (59.265) Prec@5 82.812 (81.014) Epoch: [46][5300/10010] Time 0.318 (0.327) Data 0.001 (0.001) Loss 1.7900 (1.7908) Prec@1 55.469 (59.262) Prec@5 81.250 (81.015) Epoch: [46][5310/10010] Time 0.327 (0.327) Data 0.001 (0.001) Loss 1.7550 (1.7907) Prec@1 65.625 (59.263) Prec@5 80.469 (81.015) Epoch: [46][5320/10010] Time 0.316 (0.327) Data 0.000 (0.001) Loss 1.7670 (1.7907) Prec@1 59.375 (59.264) Prec@5 78.906 (81.017) Epoch: [46][5330/10010] Time 0.338 (0.327) Data 0.001 (0.001) Loss 1.9317 (1.7908) Prec@1 60.156 (59.260) Prec@5 78.125 (81.016) Epoch: [46][5340/10010] Time 0.327 (0.327) Data 0.001 (0.001) Loss 1.8271 (1.7909) Prec@1 58.594 (59.260) Prec@5 79.688 (81.015) Epoch: [46][5350/10010] Time 0.334 (0.327) Data 0.001 (0.001) Loss 1.7589 (1.7907) Prec@1 59.375 (59.264) Prec@5 80.469 (81.017) Epoch: [46][5360/10010] Time 0.320 (0.327) Data 0.000 (0.001) Loss 1.9445 (1.7908) Prec@1 58.594 (59.265) Prec@5 76.562 (81.017) Epoch: [46][5370/10010] Time 0.329 (0.327) Data 0.001 (0.001) Loss 1.8310 (1.7908) Prec@1 57.031 (59.263) Prec@5 86.719 (81.019) Epoch: [46][5380/10010] Time 0.324 (0.327) Data 0.001 (0.001) Loss 2.0149 (1.7909) Prec@1 55.469 (59.263) Prec@5 78.125 (81.017) Epoch: [46][5390/10010] Time 0.331 (0.327) Data 0.000 (0.001) Loss 1.4277 (1.7908) Prec@1 71.094 (59.264) Prec@5 84.375 (81.019) Epoch: [46][5400/10010] Time 0.319 (0.327) Data 0.001 (0.001) Loss 1.8051 (1.7907) Prec@1 58.594 (59.264) Prec@5 79.688 (81.021) Epoch: [46][5410/10010] Time 0.343 (0.327) Data 0.000 (0.001) Loss 1.8255 (1.7908) Prec@1 61.719 (59.264) Prec@5 78.125 (81.017) Epoch: [46][5420/10010] Time 0.339 (0.327) Data 0.001 (0.001) Loss 1.4776 (1.7909) Prec@1 64.062 (59.261) Prec@5 86.719 (81.015) Epoch: [46][5430/10010] Time 0.316 (0.327) Data 0.001 (0.001) Loss 1.7336 (1.7910) Prec@1 60.938 (59.259) Prec@5 84.375 (81.015) Epoch: [46][5440/10010] Time 0.322 (0.327) Data 0.001 (0.001) Loss 1.9312 (1.7908) Prec@1 53.125 (59.262) Prec@5 78.906 (81.018) Epoch: [46][5450/10010] Time 0.343 (0.327) Data 0.000 (0.001) Loss 1.8888 (1.7908) Prec@1 53.906 (59.258) Prec@5 79.688 (81.019) Epoch: [46][5460/10010] Time 0.312 (0.327) Data 0.001 (0.001) Loss 1.9382 (1.7911) Prec@1 55.469 (59.251) Prec@5 75.781 (81.015) Epoch: [46][5470/10010] Time 0.342 (0.327) Data 0.000 (0.001) Loss 1.8069 (1.7909) Prec@1 59.375 (59.250) Prec@5 81.250 (81.019) Epoch: [46][5480/10010] Time 0.334 (0.327) Data 0.000 (0.001) Loss 1.7745 (1.7910) Prec@1 60.156 (59.247) Prec@5 82.031 (81.019) Epoch: [46][5490/10010] Time 0.340 (0.327) Data 0.001 (0.001) Loss 1.5605 (1.7911) Prec@1 63.281 (59.244) Prec@5 85.156 (81.018) Epoch: [46][5500/10010] Time 0.319 (0.327) Data 0.000 (0.001) Loss 2.2074 (1.7912) Prec@1 56.250 (59.243) Prec@5 75.781 (81.017) Epoch: [46][5510/10010] Time 0.338 (0.327) Data 0.001 (0.001) Loss 1.7218 (1.7911) Prec@1 64.062 (59.244) Prec@5 82.812 (81.018) Epoch: [46][5520/10010] Time 0.338 (0.327) Data 0.001 (0.001) Loss 1.9622 (1.7910) Prec@1 53.906 (59.246) Prec@5 77.344 (81.020) Epoch: [46][5530/10010] Time 0.341 (0.327) Data 0.000 (0.001) Loss 1.5874 (1.7909) Prec@1 58.594 (59.247) Prec@5 85.156 (81.021) Epoch: [46][5540/10010] Time 0.318 (0.327) Data 0.001 (0.001) Loss 1.8555 (1.7909) Prec@1 58.594 (59.248) Prec@5 78.906 (81.021) Epoch: [46][5550/10010] Time 0.319 (0.327) Data 0.001 (0.001) Loss 1.5425 (1.7909) Prec@1 62.500 (59.248) Prec@5 85.156 (81.025) Epoch: [46][5560/10010] Time 0.323 (0.327) Data 0.000 (0.001) Loss 1.6045 (1.7909) Prec@1 66.406 (59.248) Prec@5 84.375 (81.026) Epoch: [46][5570/10010] Time 0.335 (0.327) Data 0.001 (0.001) Loss 1.9935 (1.7907) Prec@1 55.469 (59.252) Prec@5 77.344 (81.027) Epoch: [46][5580/10010] Time 0.316 (0.327) Data 0.001 (0.001) Loss 1.7896 (1.7905) Prec@1 63.281 (59.256) Prec@5 81.250 (81.030) Epoch: [46][5590/10010] Time 0.324 (0.327) Data 0.001 (0.001) Loss 1.8053 (1.7906) Prec@1 59.375 (59.255) Prec@5 79.688 (81.029) Epoch: [46][5600/10010] Time 0.321 (0.327) Data 0.000 (0.001) Loss 1.8140 (1.7906) Prec@1 59.375 (59.256) Prec@5 77.344 (81.027) Epoch: [46][5610/10010] Time 0.330 (0.327) Data 0.000 (0.001) Loss 1.8584 (1.7909) Prec@1 53.906 (59.251) Prec@5 82.031 (81.022) Epoch: [46][5620/10010] Time 0.327 (0.327) Data 0.001 (0.001) Loss 1.6902 (1.7911) Prec@1 58.594 (59.248) Prec@5 83.594 (81.019) Epoch: [46][5630/10010] Time 0.340 (0.327) Data 0.000 (0.001) Loss 2.2039 (1.7913) Prec@1 52.344 (59.245) Prec@5 74.219 (81.017) Epoch: [46][5640/10010] Time 0.322 (0.327) Data 0.001 (0.001) Loss 1.4341 (1.7913) Prec@1 67.188 (59.245) Prec@5 85.156 (81.016) Epoch: [46][5650/10010] Time 0.338 (0.327) Data 0.001 (0.001) Loss 1.9500 (1.7914) Prec@1 53.906 (59.245) Prec@5 82.812 (81.017) Epoch: [46][5660/10010] Time 0.308 (0.327) Data 0.000 (0.001) Loss 1.5931 (1.7914) Prec@1 66.406 (59.245) Prec@5 82.812 (81.016) Epoch: [46][5670/10010] Time 0.338 (0.327) Data 0.000 (0.001) Loss 1.9652 (1.7917) Prec@1 53.125 (59.239) Prec@5 78.906 (81.012) Epoch: [46][5680/10010] Time 0.338 (0.327) Data 0.000 (0.001) Loss 1.7982 (1.7916) Prec@1 56.250 (59.238) Prec@5 78.906 (81.015) Epoch: [46][5690/10010] Time 0.317 (0.327) Data 0.001 (0.001) Loss 1.8724 (1.7918) Prec@1 57.812 (59.234) Prec@5 82.812 (81.013) Epoch: [46][5700/10010] Time 0.337 (0.327) Data 0.001 (0.001) Loss 1.7175 (1.7919) Prec@1 54.688 (59.230) Prec@5 81.250 (81.013) Epoch: [46][5710/10010] Time 0.329 (0.327) Data 0.001 (0.001) Loss 1.8424 (1.7919) Prec@1 56.250 (59.230) Prec@5 79.688 (81.016) Epoch: [46][5720/10010] Time 0.316 (0.327) Data 0.000 (0.001) Loss 2.1132 (1.7919) Prec@1 53.906 (59.228) Prec@5 75.000 (81.014) Epoch: [46][5730/10010] Time 0.316 (0.327) Data 0.001 (0.001) Loss 1.7393 (1.7920) Prec@1 53.125 (59.223) Prec@5 78.906 (81.013) Epoch: [46][5740/10010] Time 0.318 (0.327) Data 0.001 (0.001) Loss 1.3070 (1.7918) Prec@1 67.969 (59.225) Prec@5 87.500 (81.015) Epoch: [46][5750/10010] Time 0.321 (0.327) Data 0.000 (0.001) Loss 1.8417 (1.7918) Prec@1 54.688 (59.226) Prec@5 82.812 (81.016) Epoch: [46][5760/10010] Time 0.318 (0.327) Data 0.001 (0.001) Loss 1.6772 (1.7917) Prec@1 60.156 (59.223) Prec@5 84.375 (81.017) Epoch: [46][5770/10010] Time 0.335 (0.327) Data 0.001 (0.001) Loss 1.7732 (1.7917) Prec@1 62.500 (59.225) Prec@5 79.688 (81.018) Epoch: [46][5780/10010] Time 0.327 (0.327) Data 0.001 (0.001) Loss 2.1335 (1.7918) Prec@1 52.344 (59.223) Prec@5 75.000 (81.015) Epoch: [46][5790/10010] Time 0.318 (0.327) Data 0.000 (0.001) Loss 2.0496 (1.7920) Prec@1 52.344 (59.222) Prec@5 76.562 (81.013) Epoch: [46][5800/10010] Time 0.339 (0.327) Data 0.001 (0.001) Loss 2.0885 (1.7920) Prec@1 47.656 (59.222) Prec@5 77.344 (81.010) Epoch: [46][5810/10010] Time 0.332 (0.327) Data 0.001 (0.001) Loss 1.7174 (1.7920) Prec@1 62.500 (59.225) Prec@5 84.375 (81.012) Epoch: [46][5820/10010] Time 0.322 (0.327) Data 0.000 (0.001) Loss 1.7134 (1.7921) Prec@1 57.812 (59.221) Prec@5 82.812 (81.009) Epoch: [46][5830/10010] Time 0.318 (0.327) Data 0.001 (0.001) Loss 1.4763 (1.7920) Prec@1 67.969 (59.223) Prec@5 88.281 (81.010) Epoch: [46][5840/10010] Time 0.344 (0.327) Data 0.001 (0.001) Loss 1.8902 (1.7919) Prec@1 53.906 (59.223) Prec@5 79.688 (81.013) Epoch: [46][5850/10010] Time 0.329 (0.327) Data 0.000 (0.001) Loss 1.7650 (1.7918) Prec@1 60.938 (59.225) Prec@5 82.031 (81.014) Epoch: [46][5860/10010] Time 0.337 (0.327) Data 0.000 (0.001) Loss 1.8202 (1.7919) Prec@1 59.375 (59.223) Prec@5 78.906 (81.012) Epoch: [46][5870/10010] Time 0.338 (0.327) Data 0.001 (0.001) Loss 1.8405 (1.7920) Prec@1 59.375 (59.219) Prec@5 81.250 (81.011) Epoch: [46][5880/10010] Time 0.324 (0.327) Data 0.001 (0.001) Loss 1.6829 (1.7919) Prec@1 60.156 (59.220) Prec@5 82.812 (81.014) Epoch: [46][5890/10010] Time 0.322 (0.327) Data 0.001 (0.001) Loss 1.9021 (1.7920) Prec@1 60.156 (59.216) Prec@5 78.906 (81.012) Epoch: [46][5900/10010] Time 0.322 (0.327) Data 0.001 (0.001) Loss 1.6536 (1.7920) Prec@1 65.625 (59.218) Prec@5 82.812 (81.015) Epoch: [46][5910/10010] Time 0.319 (0.327) Data 0.001 (0.001) Loss 1.5401 (1.7920) Prec@1 66.406 (59.222) Prec@5 87.500 (81.015) Epoch: [46][5920/10010] Time 0.321 (0.327) Data 0.000 (0.001) Loss 1.9803 (1.7920) Prec@1 53.125 (59.219) Prec@5 77.344 (81.013) Epoch: [46][5930/10010] Time 0.320 (0.327) Data 0.001 (0.001) Loss 2.0434 (1.7921) Prec@1 53.125 (59.217) Prec@5 78.906 (81.011) Epoch: [46][5940/10010] Time 0.323 (0.327) Data 0.001 (0.001) Loss 1.6967 (1.7920) Prec@1 64.062 (59.218) Prec@5 85.938 (81.014) Epoch: [46][5950/10010] Time 0.339 (0.327) Data 0.000 (0.001) Loss 1.5313 (1.7920) Prec@1 64.844 (59.221) Prec@5 84.375 (81.014) Epoch: [46][5960/10010] Time 0.340 (0.327) Data 0.001 (0.001) Loss 1.6631 (1.7920) Prec@1 65.625 (59.222) Prec@5 82.812 (81.014) Epoch: [46][5970/10010] Time 0.321 (0.327) Data 0.001 (0.001) Loss 1.6367 (1.7919) Prec@1 60.156 (59.222) Prec@5 83.594 (81.015) Epoch: [46][5980/10010] Time 0.335 (0.327) Data 0.001 (0.001) Loss 1.5490 (1.7919) Prec@1 68.750 (59.223) Prec@5 85.938 (81.014) Epoch: [46][5990/10010] Time 0.337 (0.327) Data 0.001 (0.001) Loss 1.9670 (1.7919) Prec@1 57.812 (59.223) Prec@5 78.906 (81.014) Epoch: [46][6000/10010] Time 0.319 (0.327) Data 0.001 (0.001) Loss 1.8443 (1.7920) Prec@1 61.719 (59.223) Prec@5 83.594 (81.014) Epoch: [46][6010/10010] Time 0.331 (0.327) Data 0.001 (0.001) Loss 2.0618 (1.7920) Prec@1 57.031 (59.222) Prec@5 79.688 (81.013) Epoch: [46][6020/10010] Time 0.318 (0.327) Data 0.001 (0.001) Loss 1.6360 (1.7920) Prec@1 57.812 (59.223) Prec@5 85.938 (81.012) Epoch: [46][6030/10010] Time 0.314 (0.327) Data 0.000 (0.001) Loss 1.7693 (1.7921) Prec@1 57.031 (59.224) Prec@5 82.812 (81.010) Epoch: [46][6040/10010] Time 0.340 (0.327) Data 0.000 (0.001) Loss 1.6846 (1.7918) Prec@1 57.031 (59.228) Prec@5 86.719 (81.016) Epoch: [46][6050/10010] Time 0.313 (0.327) Data 0.001 (0.001) Loss 2.3568 (1.7919) Prec@1 48.438 (59.230) Prec@5 73.438 (81.015) Epoch: [46][6060/10010] Time 0.340 (0.327) Data 0.001 (0.001) Loss 1.7068 (1.7919) Prec@1 58.594 (59.230) Prec@5 82.812 (81.013) Epoch: [46][6070/10010] Time 0.324 (0.327) Data 0.000 (0.001) Loss 1.9366 (1.7920) Prec@1 57.812 (59.228) Prec@5 79.688 (81.013) Epoch: [46][6080/10010] Time 0.328 (0.327) Data 0.000 (0.001) Loss 1.9763 (1.7919) Prec@1 57.031 (59.230) Prec@5 78.125 (81.013) Epoch: [46][6090/10010] Time 0.338 (0.327) Data 0.000 (0.001) Loss 1.7316 (1.7919) Prec@1 59.375 (59.231) Prec@5 82.031 (81.013) Epoch: [46][6100/10010] Time 0.316 (0.327) Data 0.003 (0.001) Loss 1.4219 (1.7919) Prec@1 64.062 (59.233) Prec@5 88.281 (81.012) Epoch: [46][6110/10010] Time 0.339 (0.327) Data 0.001 (0.001) Loss 1.7752 (1.7919) Prec@1 56.250 (59.232) Prec@5 78.906 (81.012) Epoch: [46][6120/10010] Time 0.327 (0.327) Data 0.001 (0.001) Loss 1.7882 (1.7920) Prec@1 60.938 (59.233) Prec@5 84.375 (81.010) Epoch: [46][6130/10010] Time 0.320 (0.327) Data 0.001 (0.001) Loss 1.9905 (1.7920) Prec@1 58.594 (59.234) Prec@5 78.125 (81.007) Epoch: [46][6140/10010] Time 0.323 (0.327) Data 0.001 (0.001) Loss 1.8379 (1.7920) Prec@1 59.375 (59.236) Prec@5 82.812 (81.008) Epoch: [46][6150/10010] Time 0.339 (0.327) Data 0.000 (0.001) Loss 1.6636 (1.7921) Prec@1 59.375 (59.234) Prec@5 78.906 (81.005) Epoch: [46][6160/10010] Time 0.319 (0.327) Data 0.001 (0.001) Loss 1.7311 (1.7920) Prec@1 59.375 (59.236) Prec@5 81.250 (81.004) Epoch: [46][6170/10010] Time 0.322 (0.327) Data 0.000 (0.001) Loss 1.9753 (1.7920) Prec@1 54.688 (59.237) Prec@5 78.125 (81.004) Epoch: [46][6180/10010] Time 0.322 (0.327) Data 0.000 (0.001) Loss 1.5860 (1.7920) Prec@1 62.500 (59.240) Prec@5 87.500 (81.006) Epoch: [46][6190/10010] Time 0.335 (0.327) Data 0.001 (0.001) Loss 1.6376 (1.7921) Prec@1 65.625 (59.238) Prec@5 82.812 (81.002) Epoch: [46][6200/10010] Time 0.338 (0.327) Data 0.000 (0.001) Loss 1.8935 (1.7921) Prec@1 57.812 (59.237) Prec@5 82.031 (81.004) Epoch: [46][6210/10010] Time 0.336 (0.327) Data 0.000 (0.001) Loss 1.9062 (1.7923) Prec@1 60.938 (59.237) Prec@5 79.688 (81.003) Epoch: [46][6220/10010] Time 0.333 (0.327) Data 0.000 (0.001) Loss 1.9485 (1.7924) Prec@1 59.375 (59.233) Prec@5 82.031 (81.001) Epoch: [46][6230/10010] Time 0.329 (0.327) Data 0.000 (0.001) Loss 1.6520 (1.7924) Prec@1 59.375 (59.230) Prec@5 85.938 (81.002) Epoch: [46][6240/10010] Time 0.316 (0.327) Data 0.001 (0.001) Loss 1.9041 (1.7925) Prec@1 63.281 (59.231) Prec@5 78.906 (81.002) Epoch: [46][6250/10010] Time 0.335 (0.327) Data 0.001 (0.001) Loss 1.7898 (1.7925) Prec@1 60.156 (59.230) Prec@5 78.906 (81.000) Epoch: [46][6260/10010] Time 0.328 (0.327) Data 0.000 (0.001) Loss 1.7123 (1.7925) Prec@1 60.156 (59.231) Prec@5 80.469 (80.999) Epoch: [46][6270/10010] Time 0.312 (0.327) Data 0.001 (0.001) Loss 1.8021 (1.7926) Prec@1 60.938 (59.232) Prec@5 77.344 (80.997) Epoch: [46][6280/10010] Time 0.322 (0.327) Data 0.001 (0.001) Loss 2.0714 (1.7925) Prec@1 53.906 (59.234) Prec@5 71.875 (80.996) Epoch: [46][6290/10010] Time 0.334 (0.327) Data 0.000 (0.001) Loss 1.7049 (1.7925) Prec@1 67.188 (59.233) Prec@5 82.031 (80.996) Epoch: [46][6300/10010] Time 0.336 (0.327) Data 0.001 (0.001) Loss 1.6024 (1.7926) Prec@1 60.938 (59.230) Prec@5 84.375 (80.993) Epoch: [46][6310/10010] Time 0.318 (0.327) Data 0.001 (0.001) Loss 1.7379 (1.7926) Prec@1 59.375 (59.231) Prec@5 81.250 (80.993) Epoch: [46][6320/10010] Time 0.322 (0.327) Data 0.000 (0.001) Loss 1.5183 (1.7926) Prec@1 62.500 (59.231) Prec@5 83.594 (80.992) Epoch: [46][6330/10010] Time 0.320 (0.327) Data 0.000 (0.001) Loss 1.7172 (1.7928) Prec@1 62.500 (59.227) Prec@5 78.906 (80.991) Epoch: [46][6340/10010] Time 0.321 (0.327) Data 0.001 (0.001) Loss 1.9039 (1.7929) Prec@1 55.469 (59.226) Prec@5 80.469 (80.989) Epoch: [46][6350/10010] Time 0.322 (0.327) Data 0.001 (0.001) Loss 1.6036 (1.7929) Prec@1 61.719 (59.227) Prec@5 80.469 (80.989) Epoch: [46][6360/10010] Time 0.332 (0.327) Data 0.001 (0.001) Loss 2.0901 (1.7930) Prec@1 57.031 (59.224) Prec@5 75.781 (80.988) Epoch: [46][6370/10010] Time 0.328 (0.327) Data 0.001 (0.001) Loss 1.6441 (1.7929) Prec@1 67.188 (59.227) Prec@5 83.594 (80.991) Epoch: [46][6380/10010] Time 0.322 (0.327) Data 0.001 (0.001) Loss 1.7823 (1.7928) Prec@1 57.031 (59.227) Prec@5 78.906 (80.992) Epoch: [46][6390/10010] Time 0.317 (0.327) Data 0.001 (0.001) Loss 1.8134 (1.7928) Prec@1 61.719 (59.228) Prec@5 81.250 (80.994) Epoch: [46][6400/10010] Time 0.334 (0.327) Data 0.001 (0.001) Loss 1.9437 (1.7929) Prec@1 62.500 (59.227) Prec@5 77.344 (80.991) Epoch: [46][6410/10010] Time 0.335 (0.327) Data 0.001 (0.001) Loss 1.6159 (1.7929) Prec@1 68.750 (59.228) Prec@5 81.250 (80.989) Epoch: [46][6420/10010] Time 0.328 (0.327) Data 0.000 (0.001) Loss 1.6037 (1.7928) Prec@1 60.156 (59.229) Prec@5 82.812 (80.990) Epoch: [46][6430/10010] Time 0.322 (0.327) Data 0.001 (0.001) Loss 2.0357 (1.7929) Prec@1 54.688 (59.226) Prec@5 76.562 (80.987) Epoch: [46][6440/10010] Time 0.320 (0.327) Data 0.001 (0.001) Loss 1.9169 (1.7930) Prec@1 55.469 (59.226) Prec@5 80.469 (80.984) Epoch: [46][6450/10010] Time 0.311 (0.327) Data 0.000 (0.001) Loss 1.6917 (1.7930) Prec@1 56.250 (59.227) Prec@5 82.031 (80.985) Epoch: [46][6460/10010] Time 0.312 (0.327) Data 0.001 (0.001) Loss 1.9008 (1.7930) Prec@1 58.594 (59.229) Prec@5 78.906 (80.986) Epoch: [46][6470/10010] Time 0.325 (0.327) Data 0.001 (0.001) Loss 1.5695 (1.7930) Prec@1 63.281 (59.229) Prec@5 85.156 (80.986) Epoch: [46][6480/10010] Time 0.336 (0.327) Data 0.001 (0.001) Loss 2.0554 (1.7929) Prec@1 56.250 (59.228) Prec@5 77.344 (80.985) Epoch: [46][6490/10010] Time 0.340 (0.327) Data 0.001 (0.001) Loss 1.8548 (1.7930) Prec@1 60.938 (59.229) Prec@5 83.594 (80.985) Epoch: [46][6500/10010] Time 0.324 (0.327) Data 0.001 (0.001) Loss 1.6148 (1.7929) Prec@1 64.062 (59.229) Prec@5 82.812 (80.985) Epoch: [46][6510/10010] Time 0.321 (0.327) Data 0.001 (0.001) Loss 1.5825 (1.7928) Prec@1 60.938 (59.233) Prec@5 84.375 (80.988) Epoch: [46][6520/10010] Time 0.338 (0.327) Data 0.000 (0.001) Loss 1.9575 (1.7928) Prec@1 57.812 (59.233) Prec@5 80.469 (80.988) Epoch: [46][6530/10010] Time 0.314 (0.327) Data 0.001 (0.001) Loss 1.7671 (1.7928) Prec@1 66.406 (59.232) Prec@5 82.812 (80.989) Epoch: [46][6540/10010] Time 0.321 (0.327) Data 0.001 (0.001) Loss 1.9285 (1.7928) Prec@1 57.031 (59.231) Prec@5 79.688 (80.988) Epoch: [46][6550/10010] Time 0.318 (0.327) Data 0.001 (0.001) Loss 1.7263 (1.7928) Prec@1 58.594 (59.229) Prec@5 81.250 (80.988) Epoch: [46][6560/10010] Time 0.339 (0.327) Data 0.000 (0.001) Loss 1.9597 (1.7929) Prec@1 53.906 (59.228) Prec@5 77.344 (80.986) Epoch: [46][6570/10010] Time 0.322 (0.327) Data 0.000 (0.001) Loss 1.9111 (1.7929) Prec@1 63.281 (59.226) Prec@5 78.125 (80.986) Epoch: [46][6580/10010] Time 0.333 (0.327) Data 0.001 (0.001) Loss 1.5516 (1.7929) Prec@1 61.719 (59.225) Prec@5 83.594 (80.986) Epoch: [46][6590/10010] Time 0.341 (0.327) Data 0.000 (0.001) Loss 1.7537 (1.7928) Prec@1 58.594 (59.225) Prec@5 81.250 (80.987) Epoch: [46][6600/10010] Time 0.332 (0.327) Data 0.000 (0.001) Loss 1.8082 (1.7928) Prec@1 57.031 (59.227) Prec@5 80.469 (80.989) Epoch: [46][6610/10010] Time 0.336 (0.327) Data 0.000 (0.001) Loss 2.0367 (1.7929) Prec@1 57.031 (59.224) Prec@5 75.000 (80.986) Epoch: [46][6620/10010] Time 0.317 (0.327) Data 0.001 (0.001) Loss 1.8410 (1.7929) Prec@1 58.594 (59.224) Prec@5 77.344 (80.986) Epoch: [46][6630/10010] Time 0.313 (0.327) Data 0.000 (0.001) Loss 2.0052 (1.7929) Prec@1 53.125 (59.223) Prec@5 77.344 (80.987) Epoch: [46][6640/10010] Time 0.338 (0.327) Data 0.001 (0.001) Loss 1.4582 (1.7928) Prec@1 64.844 (59.224) Prec@5 85.156 (80.989) Epoch: [46][6650/10010] Time 0.330 (0.327) Data 0.000 (0.001) Loss 1.9651 (1.7929) Prec@1 58.594 (59.224) Prec@5 79.688 (80.988) Epoch: [46][6660/10010] Time 0.330 (0.327) Data 0.001 (0.001) Loss 1.9921 (1.7930) Prec@1 53.125 (59.222) Prec@5 75.781 (80.987) Epoch: [46][6670/10010] Time 0.335 (0.327) Data 0.001 (0.001) Loss 1.5396 (1.7930) Prec@1 64.844 (59.223) Prec@5 83.594 (80.987) Epoch: [46][6680/10010] Time 0.331 (0.327) Data 0.000 (0.001) Loss 2.0277 (1.7930) Prec@1 54.688 (59.223) Prec@5 80.469 (80.988) Epoch: [46][6690/10010] Time 0.318 (0.327) Data 0.001 (0.001) Loss 1.8042 (1.7929) Prec@1 60.938 (59.225) Prec@5 80.469 (80.990) Epoch: [46][6700/10010] Time 0.326 (0.327) Data 0.001 (0.001) Loss 1.8904 (1.7930) Prec@1 55.469 (59.221) Prec@5 78.125 (80.988) Epoch: [46][6710/10010] Time 0.339 (0.327) Data 0.001 (0.001) Loss 1.8053 (1.7930) Prec@1 60.156 (59.223) Prec@5 78.906 (80.988) Epoch: [46][6720/10010] Time 0.313 (0.327) Data 0.000 (0.001) Loss 1.6707 (1.7929) Prec@1 64.062 (59.225) Prec@5 82.031 (80.990) Epoch: [46][6730/10010] Time 0.333 (0.327) Data 0.000 (0.001) Loss 1.9775 (1.7930) Prec@1 57.031 (59.224) Prec@5 82.031 (80.989) Epoch: [46][6740/10010] Time 0.321 (0.327) Data 0.001 (0.001) Loss 1.9173 (1.7931) Prec@1 60.938 (59.220) Prec@5 82.031 (80.990) Epoch: [46][6750/10010] Time 0.332 (0.327) Data 0.000 (0.001) Loss 1.7244 (1.7929) Prec@1 61.719 (59.220) Prec@5 82.812 (80.992) Epoch: [46][6760/10010] Time 0.326 (0.327) Data 0.001 (0.001) Loss 1.8207 (1.7929) Prec@1 54.688 (59.219) Prec@5 83.594 (80.992) Epoch: [46][6770/10010] Time 0.308 (0.327) Data 0.000 (0.001) Loss 1.6179 (1.7930) Prec@1 61.719 (59.217) Prec@5 85.156 (80.991) Epoch: [46][6780/10010] Time 0.327 (0.327) Data 0.001 (0.001) Loss 1.6082 (1.7930) Prec@1 60.938 (59.217) Prec@5 84.375 (80.992) Epoch: [46][6790/10010] Time 0.323 (0.327) Data 0.001 (0.001) Loss 2.0566 (1.7931) Prec@1 55.469 (59.215) Prec@5 81.250 (80.991) Epoch: [46][6800/10010] Time 0.336 (0.327) Data 0.001 (0.001) Loss 1.6479 (1.7932) Prec@1 62.500 (59.211) Prec@5 85.938 (80.989) Epoch: [46][6810/10010] Time 0.319 (0.327) Data 0.001 (0.001) Loss 1.6297 (1.7932) Prec@1 55.469 (59.209) Prec@5 81.250 (80.991) Epoch: [46][6820/10010] Time 0.311 (0.327) Data 0.001 (0.001) Loss 1.5591 (1.7931) Prec@1 62.500 (59.210) Prec@5 87.500 (80.995) Epoch: [46][6830/10010] Time 0.328 (0.327) Data 0.001 (0.001) Loss 1.7122 (1.7931) Prec@1 55.469 (59.210) Prec@5 79.688 (80.993) Epoch: [46][6840/10010] Time 0.321 (0.327) Data 0.001 (0.001) Loss 2.2649 (1.7931) Prec@1 51.562 (59.209) Prec@5 72.656 (80.992) Epoch: [46][6850/10010] Time 0.318 (0.327) Data 0.001 (0.001) Loss 2.0139 (1.7932) Prec@1 54.688 (59.208) Prec@5 78.906 (80.992) Epoch: [46][6860/10010] Time 0.317 (0.327) Data 0.001 (0.001) Loss 2.1910 (1.7933) Prec@1 51.562 (59.206) Prec@5 75.781 (80.989) Epoch: [46][6870/10010] Time 0.330 (0.327) Data 0.001 (0.001) Loss 1.6309 (1.7932) Prec@1 60.938 (59.210) Prec@5 82.812 (80.992) Epoch: [46][6880/10010] Time 0.316 (0.327) Data 0.001 (0.001) Loss 1.9307 (1.7932) Prec@1 57.031 (59.209) Prec@5 81.250 (80.992) Epoch: [46][6890/10010] Time 0.321 (0.327) Data 0.001 (0.001) Loss 1.8451 (1.7933) Prec@1 56.250 (59.206) Prec@5 81.250 (80.992) Epoch: [46][6900/10010] Time 0.317 (0.327) Data 0.001 (0.001) Loss 1.5943 (1.7933) Prec@1 62.500 (59.205) Prec@5 85.938 (80.994) Epoch: [46][6910/10010] Time 0.338 (0.327) Data 0.000 (0.001) Loss 1.6901 (1.7933) Prec@1 55.469 (59.203) Prec@5 82.812 (80.992) Epoch: [46][6920/10010] Time 0.334 (0.327) Data 0.000 (0.001) Loss 1.3878 (1.7932) Prec@1 64.844 (59.205) Prec@5 86.719 (80.995) Epoch: [46][6930/10010] Time 0.314 (0.327) Data 0.001 (0.001) Loss 1.8839 (1.7931) Prec@1 58.594 (59.206) Prec@5 77.344 (80.995) Epoch: [46][6940/10010] Time 0.338 (0.327) Data 0.001 (0.001) Loss 1.6631 (1.7930) Prec@1 57.812 (59.207) Prec@5 80.469 (80.997) Epoch: [46][6950/10010] Time 0.335 (0.327) Data 0.001 (0.001) Loss 1.8268 (1.7929) Prec@1 60.156 (59.208) Prec@5 78.906 (80.999) Epoch: [46][6960/10010] Time 0.330 (0.327) Data 0.001 (0.001) Loss 2.0344 (1.7929) Prec@1 57.812 (59.208) Prec@5 75.781 (80.998) Epoch: [46][6970/10010] Time 0.336 (0.327) Data 0.001 (0.001) Loss 1.8899 (1.7930) Prec@1 54.688 (59.204) Prec@5 83.594 (80.997) Epoch: [46][6980/10010] Time 0.322 (0.327) Data 0.001 (0.001) Loss 1.5161 (1.7930) Prec@1 67.188 (59.207) Prec@5 84.375 (80.997) Epoch: [46][6990/10010] Time 0.316 (0.327) Data 0.001 (0.001) Loss 2.0092 (1.7931) Prec@1 55.469 (59.205) Prec@5 73.438 (80.995) Epoch: [46][7000/10010] Time 0.332 (0.327) Data 0.001 (0.001) Loss 1.5251 (1.7931) Prec@1 62.500 (59.203) Prec@5 84.375 (80.994) Epoch: [46][7010/10010] Time 0.322 (0.327) Data 0.000 (0.001) Loss 1.8273 (1.7932) Prec@1 60.156 (59.203) Prec@5 78.125 (80.995) Epoch: [46][7020/10010] Time 0.329 (0.327) Data 0.001 (0.001) Loss 1.7610 (1.7932) Prec@1 58.594 (59.202) Prec@5 80.469 (80.994) Epoch: [46][7030/10010] Time 0.321 (0.327) Data 0.001 (0.001) Loss 1.6832 (1.7933) Prec@1 63.281 (59.201) Prec@5 82.812 (80.991) Epoch: [46][7040/10010] Time 0.333 (0.327) Data 0.000 (0.001) Loss 1.9021 (1.7934) Prec@1 60.938 (59.202) Prec@5 82.031 (80.990) Epoch: [46][7050/10010] Time 0.330 (0.327) Data 0.001 (0.001) Loss 1.5303 (1.7933) Prec@1 67.188 (59.202) Prec@5 86.719 (80.991) Epoch: [46][7060/10010] Time 0.316 (0.327) Data 0.001 (0.001) Loss 1.8877 (1.7934) Prec@1 59.375 (59.199) Prec@5 78.125 (80.989) Epoch: [46][7070/10010] Time 0.343 (0.327) Data 0.001 (0.001) Loss 1.6890 (1.7934) Prec@1 61.719 (59.199) Prec@5 79.688 (80.989) Epoch: [46][7080/10010] Time 0.337 (0.327) Data 0.001 (0.001) Loss 1.5228 (1.7933) Prec@1 64.062 (59.202) Prec@5 86.719 (80.991) Epoch: [46][7090/10010] Time 0.332 (0.327) Data 0.000 (0.001) Loss 1.8420 (1.7933) Prec@1 58.594 (59.200) Prec@5 77.344 (80.989) Epoch: [46][7100/10010] Time 0.326 (0.327) Data 0.001 (0.001) Loss 1.9280 (1.7934) Prec@1 60.156 (59.201) Prec@5 78.125 (80.985) Epoch: [46][7110/10010] Time 0.338 (0.327) Data 0.001 (0.001) Loss 1.9751 (1.7935) Prec@1 52.344 (59.198) Prec@5 76.562 (80.982) Epoch: [46][7120/10010] Time 0.338 (0.327) Data 0.001 (0.001) Loss 1.7194 (1.7935) Prec@1 61.719 (59.199) Prec@5 83.594 (80.983) Epoch: [46][7130/10010] Time 0.315 (0.327) Data 0.001 (0.001) Loss 1.5026 (1.7934) Prec@1 66.406 (59.199) Prec@5 85.938 (80.983) Epoch: [46][7140/10010] Time 0.334 (0.327) Data 0.001 (0.001) Loss 1.5623 (1.7934) Prec@1 61.719 (59.199) Prec@5 81.250 (80.983) Epoch: [46][7150/10010] Time 0.322 (0.327) Data 0.001 (0.001) Loss 1.8364 (1.7935) Prec@1 57.812 (59.197) Prec@5 80.469 (80.982) Epoch: [46][7160/10010] Time 0.321 (0.327) Data 0.001 (0.001) Loss 2.1325 (1.7935) Prec@1 55.469 (59.197) Prec@5 79.688 (80.981) Epoch: [46][7170/10010] Time 0.341 (0.327) Data 0.001 (0.001) Loss 1.4742 (1.7935) Prec@1 66.406 (59.198) Prec@5 89.062 (80.983) Epoch: [46][7180/10010] Time 0.324 (0.327) Data 0.001 (0.001) Loss 1.6613 (1.7935) Prec@1 60.938 (59.198) Prec@5 84.375 (80.983) Epoch: [46][7190/10010] Time 0.340 (0.327) Data 0.000 (0.001) Loss 1.6271 (1.7935) Prec@1 64.062 (59.198) Prec@5 80.469 (80.981) Epoch: [46][7200/10010] Time 0.328 (0.327) Data 0.000 (0.001) Loss 1.8053 (1.7936) Prec@1 59.375 (59.197) Prec@5 83.594 (80.980) Epoch: [46][7210/10010] Time 0.316 (0.327) Data 0.000 (0.001) Loss 1.7078 (1.7936) Prec@1 57.812 (59.195) Prec@5 85.938 (80.981) Epoch: [46][7220/10010] Time 0.342 (0.327) Data 0.001 (0.001) Loss 1.6617 (1.7937) Prec@1 66.406 (59.195) Prec@5 82.812 (80.981) Epoch: [46][7230/10010] Time 0.313 (0.327) Data 0.000 (0.001) Loss 1.9049 (1.7936) Prec@1 54.688 (59.195) Prec@5 81.250 (80.981) Epoch: [46][7240/10010] Time 0.341 (0.327) Data 0.000 (0.001) Loss 1.7207 (1.7937) Prec@1 61.719 (59.193) Prec@5 84.375 (80.980) Epoch: [46][7250/10010] Time 0.323 (0.327) Data 0.001 (0.001) Loss 1.8491 (1.7938) Prec@1 67.969 (59.194) Prec@5 80.469 (80.979) Epoch: [46][7260/10010] Time 0.332 (0.327) Data 0.001 (0.001) Loss 1.8096 (1.7937) Prec@1 64.062 (59.198) Prec@5 80.469 (80.981) Epoch: [46][7270/10010] Time 0.335 (0.327) Data 0.001 (0.001) Loss 1.9688 (1.7937) Prec@1 49.219 (59.195) Prec@5 79.688 (80.980) Epoch: [46][7280/10010] Time 0.319 (0.327) Data 0.000 (0.001) Loss 1.9451 (1.7938) Prec@1 55.469 (59.194) Prec@5 78.906 (80.976) Epoch: [46][7290/10010] Time 0.318 (0.327) Data 0.000 (0.001) Loss 1.6936 (1.7938) Prec@1 65.625 (59.196) Prec@5 83.594 (80.975) Epoch: [46][7300/10010] Time 0.331 (0.327) Data 0.001 (0.001) Loss 1.6928 (1.7937) Prec@1 64.062 (59.197) Prec@5 82.812 (80.974) Epoch: [46][7310/10010] Time 0.323 (0.327) Data 0.001 (0.001) Loss 1.9321 (1.7938) Prec@1 56.250 (59.197) Prec@5 78.906 (80.972) Epoch: [46][7320/10010] Time 0.337 (0.327) Data 0.000 (0.001) Loss 1.8452 (1.7940) Prec@1 57.812 (59.194) Prec@5 83.594 (80.971) Epoch: [46][7330/10010] Time 0.326 (0.327) Data 0.001 (0.001) Loss 1.6046 (1.7939) Prec@1 64.062 (59.194) Prec@5 83.594 (80.972) Epoch: [46][7340/10010] Time 0.333 (0.327) Data 0.001 (0.001) Loss 1.6149 (1.7939) Prec@1 66.406 (59.194) Prec@5 82.812 (80.973) Epoch: [46][7350/10010] Time 0.336 (0.327) Data 0.001 (0.001) Loss 1.9292 (1.7938) Prec@1 55.469 (59.197) Prec@5 77.344 (80.974) Epoch: [46][7360/10010] Time 0.329 (0.327) Data 0.001 (0.001) Loss 1.6992 (1.7938) Prec@1 58.594 (59.195) Prec@5 82.812 (80.973) Epoch: [46][7370/10010] Time 0.328 (0.327) Data 0.000 (0.001) Loss 1.8112 (1.7939) Prec@1 59.375 (59.193) Prec@5 81.250 (80.973) Epoch: [46][7380/10010] Time 0.334 (0.327) Data 0.001 (0.001) Loss 1.7868 (1.7940) Prec@1 61.719 (59.190) Prec@5 83.594 (80.972) Epoch: [46][7390/10010] Time 0.341 (0.327) Data 0.000 (0.001) Loss 1.8253 (1.7940) Prec@1 57.031 (59.192) Prec@5 76.562 (80.972) Epoch: [46][7400/10010] Time 0.339 (0.327) Data 0.001 (0.001) Loss 2.0964 (1.7940) Prec@1 57.812 (59.191) Prec@5 77.344 (80.971) Epoch: [46][7410/10010] Time 0.338 (0.327) Data 0.001 (0.001) Loss 1.9193 (1.7942) Prec@1 57.812 (59.189) Prec@5 77.344 (80.968) Epoch: [46][7420/10010] Time 0.317 (0.327) Data 0.001 (0.001) Loss 2.0179 (1.7942) Prec@1 54.688 (59.189) Prec@5 81.250 (80.971) Epoch: [46][7430/10010] Time 0.335 (0.327) Data 0.000 (0.001) Loss 1.6939 (1.7941) Prec@1 60.156 (59.192) Prec@5 82.031 (80.971) Epoch: [46][7440/10010] Time 0.332 (0.327) Data 0.001 (0.001) Loss 1.5290 (1.7941) Prec@1 67.969 (59.191) Prec@5 85.156 (80.970) Epoch: [46][7450/10010] Time 0.335 (0.327) Data 0.001 (0.001) Loss 1.7793 (1.7941) Prec@1 61.719 (59.191) Prec@5 82.031 (80.972) Epoch: [46][7460/10010] Time 0.316 (0.327) Data 0.001 (0.001) Loss 1.6049 (1.7940) Prec@1 66.406 (59.194) Prec@5 84.375 (80.973) Epoch: [46][7470/10010] Time 0.337 (0.327) Data 0.001 (0.001) Loss 1.8194 (1.7940) Prec@1 54.688 (59.195) Prec@5 79.688 (80.972) Epoch: [46][7480/10010] Time 0.334 (0.327) Data 0.001 (0.001) Loss 1.7897 (1.7940) Prec@1 57.812 (59.195) Prec@5 81.250 (80.972) Epoch: [46][7490/10010] Time 0.337 (0.327) Data 0.001 (0.001) Loss 1.9402 (1.7940) Prec@1 61.719 (59.194) Prec@5 77.344 (80.970) Epoch: [46][7500/10010] Time 0.329 (0.327) Data 0.000 (0.001) Loss 1.6352 (1.7941) Prec@1 63.281 (59.194) Prec@5 80.469 (80.969) Epoch: [46][7510/10010] Time 0.315 (0.327) Data 0.001 (0.001) Loss 1.6674 (1.7941) Prec@1 63.281 (59.195) Prec@5 83.594 (80.968) Epoch: [46][7520/10010] Time 0.315 (0.327) Data 0.000 (0.001) Loss 1.8139 (1.7941) Prec@1 60.156 (59.194) Prec@5 81.250 (80.968) Epoch: [46][7530/10010] Time 0.338 (0.327) Data 0.001 (0.001) Loss 1.7929 (1.7942) Prec@1 57.812 (59.193) Prec@5 82.031 (80.966) Epoch: [46][7540/10010] Time 0.338 (0.327) Data 0.000 (0.001) Loss 1.7446 (1.7941) Prec@1 60.938 (59.195) Prec@5 85.156 (80.968) Epoch: [46][7550/10010] Time 0.338 (0.327) Data 0.001 (0.001) Loss 1.7146 (1.7941) Prec@1 56.250 (59.193) Prec@5 81.250 (80.968) Epoch: [46][7560/10010] Time 0.316 (0.327) Data 0.001 (0.001) Loss 1.7283 (1.7942) Prec@1 57.031 (59.191) Prec@5 82.812 (80.968) Epoch: [46][7570/10010] Time 0.313 (0.327) Data 0.001 (0.001) Loss 2.2414 (1.7942) Prec@1 50.781 (59.190) Prec@5 75.000 (80.966) Epoch: [46][7580/10010] Time 0.331 (0.327) Data 0.001 (0.001) Loss 1.7599 (1.7943) Prec@1 59.375 (59.188) Prec@5 80.469 (80.964) Epoch: [46][7590/10010] Time 0.318 (0.327) Data 0.001 (0.001) Loss 1.7156 (1.7944) Prec@1 62.500 (59.186) Prec@5 81.250 (80.962) Epoch: [46][7600/10010] Time 0.322 (0.327) Data 0.000 (0.001) Loss 2.1951 (1.7946) Prec@1 50.781 (59.181) Prec@5 74.219 (80.959) Epoch: [46][7610/10010] Time 0.337 (0.327) Data 0.000 (0.001) Loss 1.9958 (1.7948) Prec@1 56.250 (59.178) Prec@5 75.000 (80.956) Epoch: [46][7620/10010] Time 0.323 (0.327) Data 0.001 (0.001) Loss 1.8848 (1.7948) Prec@1 61.719 (59.180) Prec@5 75.781 (80.956) Epoch: [46][7630/10010] Time 0.321 (0.327) Data 0.000 (0.001) Loss 1.8530 (1.7948) Prec@1 57.812 (59.179) Prec@5 78.906 (80.955) Epoch: [46][7640/10010] Time 0.335 (0.327) Data 0.000 (0.001) Loss 1.6726 (1.7949) Prec@1 61.719 (59.177) Prec@5 82.031 (80.954) Epoch: [46][7650/10010] Time 0.336 (0.327) Data 0.001 (0.001) Loss 1.9459 (1.7951) Prec@1 56.250 (59.174) Prec@5 78.125 (80.951) Epoch: [46][7660/10010] Time 0.330 (0.327) Data 0.001 (0.001) Loss 1.5464 (1.7951) Prec@1 57.812 (59.173) Prec@5 87.500 (80.950) Epoch: [46][7670/10010] Time 0.338 (0.327) Data 0.001 (0.001) Loss 1.8012 (1.7950) Prec@1 61.719 (59.176) Prec@5 80.469 (80.951) Epoch: [46][7680/10010] Time 0.323 (0.327) Data 0.000 (0.001) Loss 1.6020 (1.7950) Prec@1 65.625 (59.177) Prec@5 82.812 (80.951) Epoch: [46][7690/10010] Time 0.323 (0.327) Data 0.001 (0.001) Loss 1.9263 (1.7951) Prec@1 55.469 (59.173) Prec@5 80.469 (80.949) Epoch: [46][7700/10010] Time 0.327 (0.327) Data 0.000 (0.001) Loss 1.8770 (1.7952) Prec@1 57.031 (59.170) Prec@5 80.469 (80.948) Epoch: [46][7710/10010] Time 0.335 (0.327) Data 0.001 (0.001) Loss 1.8924 (1.7952) Prec@1 59.375 (59.172) Prec@5 77.344 (80.948) Epoch: [46][7720/10010] Time 0.336 (0.327) Data 0.001 (0.001) Loss 1.4995 (1.7951) Prec@1 61.719 (59.172) Prec@5 89.062 (80.949) Epoch: [46][7730/10010] Time 0.320 (0.327) Data 0.001 (0.001) Loss 1.9928 (1.7952) Prec@1 53.125 (59.169) Prec@5 78.906 (80.947) Epoch: [46][7740/10010] Time 0.325 (0.327) Data 0.000 (0.001) Loss 1.8287 (1.7952) Prec@1 57.812 (59.171) Prec@5 81.250 (80.948) Epoch: [46][7750/10010] Time 0.331 (0.327) Data 0.001 (0.001) Loss 1.8231 (1.7951) Prec@1 58.594 (59.172) Prec@5 78.125 (80.947) Epoch: [46][7760/10010] Time 0.335 (0.327) Data 0.001 (0.001) Loss 1.8137 (1.7952) Prec@1 53.906 (59.168) Prec@5 80.469 (80.946) Epoch: [46][7770/10010] Time 0.315 (0.327) Data 0.001 (0.001) Loss 1.8354 (1.7951) Prec@1 56.250 (59.166) Prec@5 79.688 (80.946) Epoch: [46][7780/10010] Time 0.339 (0.327) Data 0.001 (0.001) Loss 1.8694 (1.7953) Prec@1 57.031 (59.163) Prec@5 78.125 (80.943) Epoch: [46][7790/10010] Time 0.321 (0.327) Data 0.001 (0.001) Loss 1.5219 (1.7952) Prec@1 67.188 (59.165) Prec@5 85.156 (80.946) Epoch: [46][7800/10010] Time 0.318 (0.327) Data 0.001 (0.001) Loss 1.8167 (1.7951) Prec@1 57.812 (59.168) Prec@5 82.031 (80.948) Epoch: [46][7810/10010] Time 0.340 (0.327) Data 0.001 (0.001) Loss 1.4534 (1.7950) Prec@1 67.188 (59.170) Prec@5 86.719 (80.948) Epoch: [46][7820/10010] Time 0.313 (0.327) Data 0.000 (0.001) Loss 1.5832 (1.7949) Prec@1 64.062 (59.173) Prec@5 84.375 (80.951) Epoch: [46][7830/10010] Time 0.341 (0.327) Data 0.001 (0.001) Loss 1.6009 (1.7949) Prec@1 67.969 (59.173) Prec@5 84.375 (80.951) Epoch: [46][7840/10010] Time 0.341 (0.327) Data 0.001 (0.001) Loss 1.7774 (1.7950) Prec@1 60.156 (59.172) Prec@5 82.031 (80.949) Epoch: [46][7850/10010] Time 0.340 (0.327) Data 0.001 (0.001) Loss 1.8127 (1.7950) Prec@1 60.156 (59.172) Prec@5 85.156 (80.950) Epoch: [46][7860/10010] Time 0.315 (0.327) Data 0.000 (0.001) Loss 1.9818 (1.7951) Prec@1 60.938 (59.169) Prec@5 78.906 (80.947) Epoch: [46][7870/10010] Time 0.326 (0.327) Data 0.001 (0.001) Loss 1.5428 (1.7951) Prec@1 66.406 (59.169) Prec@5 85.156 (80.947) Epoch: [46][7880/10010] Time 0.331 (0.327) Data 0.001 (0.001) Loss 1.7924 (1.7951) Prec@1 58.594 (59.169) Prec@5 78.906 (80.947) Epoch: [46][7890/10010] Time 0.329 (0.327) Data 0.001 (0.001) Loss 2.0969 (1.7950) Prec@1 53.125 (59.169) Prec@5 73.438 (80.947) Epoch: [46][7900/10010] Time 0.329 (0.327) Data 0.000 (0.001) Loss 1.7283 (1.7950) Prec@1 56.250 (59.167) Prec@5 83.594 (80.948) Epoch: [46][7910/10010] Time 0.322 (0.327) Data 0.001 (0.001) Loss 1.6396 (1.7951) Prec@1 60.156 (59.165) Prec@5 80.469 (80.947) Epoch: [46][7920/10010] Time 0.321 (0.327) Data 0.001 (0.001) Loss 1.8656 (1.7950) Prec@1 53.125 (59.165) Prec@5 80.469 (80.950) Epoch: [46][7930/10010] Time 0.318 (0.327) Data 0.000 (0.001) Loss 1.8358 (1.7949) Prec@1 60.156 (59.167) Prec@5 78.906 (80.951) Epoch: [46][7940/10010] Time 0.329 (0.327) Data 0.001 (0.001) Loss 1.9653 (1.7949) Prec@1 54.688 (59.166) Prec@5 78.906 (80.952) Epoch: [46][7950/10010] Time 0.320 (0.327) Data 0.000 (0.001) Loss 1.9600 (1.7950) Prec@1 57.812 (59.164) Prec@5 80.469 (80.951) Epoch: [46][7960/10010] Time 0.313 (0.327) Data 0.001 (0.001) Loss 1.6508 (1.7949) Prec@1 56.250 (59.163) Prec@5 81.250 (80.951) Epoch: [46][7970/10010] Time 0.321 (0.327) Data 0.000 (0.001) Loss 2.0800 (1.7949) Prec@1 57.812 (59.164) Prec@5 75.781 (80.952) Epoch: [46][7980/10010] Time 0.339 (0.327) Data 0.000 (0.001) Loss 1.5842 (1.7948) Prec@1 67.969 (59.166) Prec@5 80.469 (80.954) Epoch: [46][7990/10010] Time 0.339 (0.327) Data 0.001 (0.001) Loss 1.7058 (1.7949) Prec@1 55.469 (59.165) Prec@5 82.812 (80.953) Epoch: [46][8000/10010] Time 0.341 (0.327) Data 0.000 (0.001) Loss 1.7833 (1.7950) Prec@1 58.594 (59.164) Prec@5 82.812 (80.951) Epoch: [46][8010/10010] Time 0.331 (0.327) Data 0.001 (0.001) Loss 2.0025 (1.7949) Prec@1 53.906 (59.164) Prec@5 78.125 (80.953) Epoch: [46][8020/10010] Time 0.313 (0.327) Data 0.001 (0.001) Loss 2.0324 (1.7950) Prec@1 51.562 (59.163) Prec@5 78.125 (80.951) Epoch: [46][8030/10010] Time 0.319 (0.327) Data 0.000 (0.001) Loss 2.0025 (1.7950) Prec@1 57.031 (59.162) Prec@5 78.906 (80.950) Epoch: [46][8040/10010] Time 0.326 (0.327) Data 0.001 (0.001) Loss 1.8954 (1.7950) Prec@1 61.719 (59.163) Prec@5 82.812 (80.951) Epoch: [46][8050/10010] Time 0.319 (0.327) Data 0.001 (0.001) Loss 1.5851 (1.7950) Prec@1 63.281 (59.162) Prec@5 86.719 (80.951) Epoch: [46][8060/10010] Time 0.322 (0.327) Data 0.001 (0.001) Loss 1.8717 (1.7949) Prec@1 59.375 (59.164) Prec@5 79.688 (80.952) Epoch: [46][8070/10010] Time 0.337 (0.327) Data 0.000 (0.001) Loss 1.9727 (1.7950) Prec@1 58.594 (59.164) Prec@5 78.125 (80.951) Epoch: [46][8080/10010] Time 0.315 (0.327) Data 0.001 (0.001) Loss 1.8579 (1.7949) Prec@1 54.688 (59.165) Prec@5 79.688 (80.952) Epoch: [46][8090/10010] Time 0.332 (0.327) Data 0.001 (0.001) Loss 1.6053 (1.7949) Prec@1 67.969 (59.165) Prec@5 83.594 (80.952) Epoch: [46][8100/10010] Time 0.317 (0.327) Data 0.001 (0.001) Loss 1.6824 (1.7950) Prec@1 61.719 (59.165) Prec@5 81.250 (80.951) Epoch: [46][8110/10010] Time 0.328 (0.327) Data 0.001 (0.001) Loss 1.7058 (1.7949) Prec@1 59.375 (59.166) Prec@5 83.594 (80.953) Epoch: [46][8120/10010] Time 0.338 (0.327) Data 0.001 (0.001) Loss 1.8016 (1.7950) Prec@1 59.375 (59.164) Prec@5 78.906 (80.951) Epoch: [46][8130/10010] Time 0.315 (0.327) Data 0.001 (0.001) Loss 1.7333 (1.7951) Prec@1 60.156 (59.162) Prec@5 81.250 (80.950) Epoch: [46][8140/10010] Time 0.341 (0.327) Data 0.001 (0.001) Loss 2.0093 (1.7951) Prec@1 53.906 (59.160) Prec@5 79.688 (80.950) Epoch: [46][8150/10010] Time 0.337 (0.327) Data 0.001 (0.001) Loss 1.6816 (1.7951) Prec@1 56.250 (59.160) Prec@5 85.156 (80.951) Epoch: [46][8160/10010] Time 0.325 (0.327) Data 0.001 (0.001) Loss 1.6965 (1.7951) Prec@1 60.938 (59.161) Prec@5 83.594 (80.952) Epoch: [46][8170/10010] Time 0.319 (0.327) Data 0.000 (0.001) Loss 1.6132 (1.7950) Prec@1 59.375 (59.162) Prec@5 86.719 (80.953) Epoch: [46][8180/10010] Time 0.336 (0.327) Data 0.001 (0.001) Loss 1.6933 (1.7949) Prec@1 60.156 (59.164) Prec@5 85.156 (80.955) Epoch: [46][8190/10010] Time 0.335 (0.327) Data 0.000 (0.001) Loss 2.0519 (1.7949) Prec@1 54.688 (59.166) Prec@5 78.125 (80.957) Epoch: [46][8200/10010] Time 0.344 (0.327) Data 0.001 (0.001) Loss 1.6743 (1.7948) Prec@1 58.594 (59.169) Prec@5 85.156 (80.959) Epoch: [46][8210/10010] Time 0.315 (0.327) Data 0.001 (0.001) Loss 1.3663 (1.7948) Prec@1 69.531 (59.169) Prec@5 86.719 (80.960) Epoch: [46][8220/10010] Time 0.340 (0.327) Data 0.001 (0.001) Loss 1.8967 (1.7948) Prec@1 54.688 (59.168) Prec@5 79.688 (80.958) Epoch: [46][8230/10010] Time 0.345 (0.327) Data 0.000 (0.001) Loss 2.0411 (1.7948) Prec@1 53.125 (59.167) Prec@5 78.906 (80.959) Epoch: [46][8240/10010] Time 0.318 (0.327) Data 0.001 (0.001) Loss 1.8058 (1.7948) Prec@1 67.188 (59.167) Prec@5 79.688 (80.959) Epoch: [46][8250/10010] Time 0.331 (0.327) Data 0.001 (0.001) Loss 1.9012 (1.7948) Prec@1 53.906 (59.167) Prec@5 80.469 (80.960) Epoch: [46][8260/10010] Time 0.314 (0.327) Data 0.001 (0.001) Loss 1.9886 (1.7949) Prec@1 59.375 (59.163) Prec@5 77.344 (80.957) Epoch: [46][8270/10010] Time 0.329 (0.327) Data 0.000 (0.001) Loss 1.5324 (1.7950) Prec@1 59.375 (59.162) Prec@5 85.938 (80.958) Epoch: [46][8280/10010] Time 0.320 (0.327) Data 0.001 (0.001) Loss 1.7849 (1.7949) Prec@1 67.188 (59.164) Prec@5 80.469 (80.959) Epoch: [46][8290/10010] Time 0.313 (0.327) Data 0.000 (0.001) Loss 2.0735 (1.7949) Prec@1 57.031 (59.165) Prec@5 75.781 (80.959) Epoch: [46][8300/10010] Time 0.319 (0.327) Data 0.001 (0.001) Loss 1.5725 (1.7950) Prec@1 64.062 (59.164) Prec@5 84.375 (80.957) Epoch: [46][8310/10010] Time 0.338 (0.327) Data 0.000 (0.001) Loss 1.6162 (1.7950) Prec@1 63.281 (59.163) Prec@5 86.719 (80.959) Epoch: [46][8320/10010] Time 0.315 (0.327) Data 0.001 (0.001) Loss 1.9576 (1.7950) Prec@1 48.438 (59.162) Prec@5 75.781 (80.959) Epoch: [46][8330/10010] Time 0.329 (0.327) Data 0.001 (0.001) Loss 1.7125 (1.7950) Prec@1 61.719 (59.161) Prec@5 82.031 (80.957) Epoch: [46][8340/10010] Time 0.321 (0.327) Data 0.000 (0.001) Loss 2.0462 (1.7951) Prec@1 53.125 (59.160) Prec@5 79.688 (80.956) Epoch: [46][8350/10010] Time 0.315 (0.327) Data 0.000 (0.001) Loss 1.6552 (1.7952) Prec@1 64.844 (59.161) Prec@5 84.375 (80.955) Epoch: [46][8360/10010] Time 0.338 (0.327) Data 0.000 (0.001) Loss 1.8922 (1.7953) Prec@1 64.844 (59.161) Prec@5 79.688 (80.953) Epoch: [46][8370/10010] Time 0.334 (0.327) Data 0.001 (0.001) Loss 1.8772 (1.7954) Prec@1 57.812 (59.159) Prec@5 77.344 (80.950) Epoch: [46][8380/10010] Time 0.325 (0.327) Data 0.001 (0.001) Loss 1.7936 (1.7954) Prec@1 58.594 (59.157) Prec@5 81.250 (80.950) Epoch: [46][8390/10010] Time 0.319 (0.327) Data 0.001 (0.001) Loss 2.0166 (1.7955) Prec@1 55.469 (59.157) Prec@5 78.906 (80.949) Epoch: [46][8400/10010] Time 0.334 (0.327) Data 0.001 (0.001) Loss 1.6557 (1.7954) Prec@1 59.375 (59.158) Prec@5 81.250 (80.951) Epoch: [46][8410/10010] Time 0.319 (0.327) Data 0.001 (0.001) Loss 2.1949 (1.7955) Prec@1 50.781 (59.157) Prec@5 72.656 (80.950) Epoch: [46][8420/10010] Time 0.334 (0.327) Data 0.000 (0.001) Loss 1.9621 (1.7955) Prec@1 53.906 (59.156) Prec@5 78.906 (80.949) Epoch: [46][8430/10010] Time 0.332 (0.327) Data 0.001 (0.001) Loss 1.8142 (1.7954) Prec@1 57.812 (59.156) Prec@5 78.906 (80.950) Epoch: [46][8440/10010] Time 0.313 (0.327) Data 0.001 (0.001) Loss 1.9847 (1.7954) Prec@1 55.469 (59.157) Prec@5 80.469 (80.950) Epoch: [46][8450/10010] Time 0.321 (0.327) Data 0.001 (0.001) Loss 1.8636 (1.7954) Prec@1 58.594 (59.156) Prec@5 79.688 (80.951) Epoch: [46][8460/10010] Time 0.335 (0.327) Data 0.000 (0.001) Loss 1.6430 (1.7955) Prec@1 60.938 (59.155) Prec@5 84.375 (80.950) Epoch: [46][8470/10010] Time 0.324 (0.327) Data 0.001 (0.001) Loss 1.8861 (1.7955) Prec@1 55.469 (59.151) Prec@5 79.688 (80.950) Epoch: [46][8480/10010] Time 0.317 (0.327) Data 0.000 (0.001) Loss 1.8560 (1.7956) Prec@1 60.156 (59.149) Prec@5 78.906 (80.949) Epoch: [46][8490/10010] Time 0.335 (0.327) Data 0.001 (0.001) Loss 1.9614 (1.7957) Prec@1 54.688 (59.147) Prec@5 81.250 (80.947) Epoch: [46][8500/10010] Time 0.339 (0.327) Data 0.001 (0.001) Loss 1.7520 (1.7958) Prec@1 60.938 (59.143) Prec@5 82.812 (80.945) Epoch: [46][8510/10010] Time 0.326 (0.327) Data 0.001 (0.001) Loss 1.4999 (1.7957) Prec@1 68.750 (59.147) Prec@5 85.156 (80.947) Epoch: [46][8520/10010] Time 0.325 (0.327) Data 0.001 (0.001) Loss 2.0572 (1.7958) Prec@1 59.375 (59.145) Prec@5 80.469 (80.946) Epoch: [46][8530/10010] Time 0.335 (0.327) Data 0.001 (0.001) Loss 2.1067 (1.7959) Prec@1 52.344 (59.144) Prec@5 77.344 (80.946) Epoch: [46][8540/10010] Time 0.317 (0.327) Data 0.000 (0.001) Loss 1.6649 (1.7958) Prec@1 59.375 (59.143) Prec@5 85.156 (80.947) Epoch: [46][8550/10010] Time 0.328 (0.327) Data 0.001 (0.001) Loss 2.1063 (1.7958) Prec@1 53.906 (59.143) Prec@5 76.562 (80.945) Epoch: [46][8560/10010] Time 0.338 (0.327) Data 0.000 (0.001) Loss 1.6553 (1.7959) Prec@1 64.062 (59.144) Prec@5 82.031 (80.944) Epoch: [46][8570/10010] Time 0.318 (0.327) Data 0.001 (0.001) Loss 1.6382 (1.7958) Prec@1 64.844 (59.148) Prec@5 85.938 (80.945) Epoch: [46][8580/10010] Time 0.328 (0.327) Data 0.000 (0.001) Loss 2.0544 (1.7958) Prec@1 54.688 (59.148) Prec@5 79.688 (80.944) Epoch: [46][8590/10010] Time 0.317 (0.327) Data 0.001 (0.001) Loss 1.9814 (1.7960) Prec@1 61.719 (59.146) Prec@5 79.688 (80.943) Epoch: [46][8600/10010] Time 0.339 (0.327) Data 0.001 (0.001) Loss 1.8652 (1.7960) Prec@1 59.375 (59.146) Prec@5 82.031 (80.944) Epoch: [46][8610/10010] Time 0.318 (0.327) Data 0.001 (0.001) Loss 1.9189 (1.7960) Prec@1 57.031 (59.144) Prec@5 77.344 (80.942) Epoch: [46][8620/10010] Time 0.322 (0.327) Data 0.000 (0.001) Loss 1.9236 (1.7961) Prec@1 52.344 (59.144) Prec@5 80.469 (80.940) Epoch: [46][8630/10010] Time 0.310 (0.327) Data 0.001 (0.001) Loss 1.8209 (1.7961) Prec@1 59.375 (59.142) Prec@5 80.469 (80.941) Epoch: [46][8640/10010] Time 0.341 (0.327) Data 0.000 (0.001) Loss 1.9865 (1.7962) Prec@1 57.031 (59.142) Prec@5 76.562 (80.941) Epoch: [46][8650/10010] Time 0.330 (0.327) Data 0.000 (0.001) Loss 1.8868 (1.7962) Prec@1 61.719 (59.143) Prec@5 79.688 (80.940) Epoch: [46][8660/10010] Time 0.325 (0.327) Data 0.000 (0.001) Loss 1.8266 (1.7962) Prec@1 60.156 (59.143) Prec@5 82.812 (80.939) Epoch: [46][8670/10010] Time 0.325 (0.327) Data 0.001 (0.001) Loss 1.5768 (1.7962) Prec@1 66.406 (59.143) Prec@5 85.156 (80.939) Epoch: [46][8680/10010] Time 0.340 (0.327) Data 0.001 (0.001) Loss 1.4180 (1.7962) Prec@1 67.969 (59.144) Prec@5 85.938 (80.940) Epoch: [46][8690/10010] Time 0.339 (0.327) Data 0.000 (0.001) Loss 1.7213 (1.7961) Prec@1 53.125 (59.144) Prec@5 85.938 (80.941) Epoch: [46][8700/10010] Time 0.333 (0.327) Data 0.001 (0.001) Loss 1.9798 (1.7961) Prec@1 53.906 (59.144) Prec@5 80.469 (80.942) Epoch: [46][8710/10010] Time 0.331 (0.327) Data 0.001 (0.001) Loss 1.9258 (1.7961) Prec@1 54.688 (59.145) Prec@5 75.781 (80.942) Epoch: [46][8720/10010] Time 0.324 (0.327) Data 0.001 (0.001) Loss 1.7387 (1.7961) Prec@1 60.156 (59.149) Prec@5 80.469 (80.943) Epoch: [46][8730/10010] Time 0.310 (0.327) Data 0.001 (0.001) Loss 1.6058 (1.7961) Prec@1 60.938 (59.148) Prec@5 85.156 (80.943) Epoch: [46][8740/10010] Time 0.339 (0.327) Data 0.001 (0.001) Loss 1.8218 (1.7961) Prec@1 62.500 (59.150) Prec@5 79.688 (80.942) Epoch: [46][8750/10010] Time 0.337 (0.327) Data 0.000 (0.001) Loss 1.6546 (1.7961) Prec@1 62.500 (59.150) Prec@5 81.250 (80.942) Epoch: [46][8760/10010] Time 0.341 (0.327) Data 0.000 (0.001) Loss 1.4877 (1.7961) Prec@1 64.844 (59.151) Prec@5 84.375 (80.942) Epoch: [46][8770/10010] Time 0.322 (0.327) Data 0.001 (0.001) Loss 1.7336 (1.7962) Prec@1 58.594 (59.150) Prec@5 78.125 (80.939) Epoch: [46][8780/10010] Time 0.314 (0.327) Data 0.001 (0.001) Loss 1.7919 (1.7962) Prec@1 60.938 (59.151) Prec@5 83.594 (80.939) Epoch: [46][8790/10010] Time 0.318 (0.327) Data 0.000 (0.001) Loss 2.0906 (1.7962) Prec@1 53.906 (59.150) Prec@5 73.438 (80.939) Epoch: [46][8800/10010] Time 0.313 (0.327) Data 0.001 (0.001) Loss 1.7024 (1.7963) Prec@1 57.812 (59.149) Prec@5 82.031 (80.937) Epoch: [46][8810/10010] Time 0.315 (0.327) Data 0.001 (0.001) Loss 2.0672 (1.7964) Prec@1 50.781 (59.146) Prec@5 75.781 (80.936) Epoch: [46][8820/10010] Time 0.316 (0.327) Data 0.001 (0.001) Loss 1.6938 (1.7964) Prec@1 60.938 (59.146) Prec@5 82.812 (80.936) Epoch: [46][8830/10010] Time 0.338 (0.327) Data 0.001 (0.001) Loss 1.8360 (1.7963) Prec@1 56.250 (59.149) Prec@5 76.562 (80.938) Epoch: [46][8840/10010] Time 0.338 (0.327) Data 0.001 (0.001) Loss 1.7838 (1.7963) Prec@1 57.812 (59.150) Prec@5 79.688 (80.938) Epoch: [46][8850/10010] Time 0.315 (0.327) Data 0.001 (0.001) Loss 1.6668 (1.7961) Prec@1 61.719 (59.151) Prec@5 86.719 (80.941) Epoch: [46][8860/10010] Time 0.338 (0.327) Data 0.001 (0.001) Loss 1.8154 (1.7960) Prec@1 58.594 (59.152) Prec@5 84.375 (80.944) /data/vision/torralba/deepscene/lib/anaconda2/lib/python2.7/site-packages/PIL/TiffImagePlugin.py:692: UserWarning: Possibly corrupt EXIF data. Expecting to read 2555904 bytes but only got 0. Skipping tag 0 "Skipping tag %s" % (size, len(data), tag)) Epoch: [46][8870/10010] Time 0.327 (0.327) Data 0.001 (0.001) Loss 1.7483 (1.7959) Prec@1 57.812 (59.155) Prec@5 81.250 (80.945) Epoch: [46][8880/10010] Time 0.326 (0.327) Data 0.001 (0.001) Loss 1.6331 (1.7960) Prec@1 61.719 (59.153) Prec@5 86.719 (80.944) Epoch: [46][8890/10010] Time 0.333 (0.327) Data 0.001 (0.001) Loss 2.0041 (1.7960) Prec@1 55.469 (59.154) Prec@5 77.344 (80.944) Epoch: [46][8900/10010] Time 0.331 (0.327) Data 0.001 (0.001) Loss 2.2679 (1.7961) Prec@1 50.781 (59.151) Prec@5 72.656 (80.941) Epoch: [46][8910/10010] Time 0.334 (0.327) Data 0.001 (0.001) Loss 1.6221 (1.7960) Prec@1 60.156 (59.152) Prec@5 86.719 (80.943) Epoch: [46][8920/10010] Time 0.314 (0.327) Data 0.001 (0.001) Loss 1.7406 (1.7960) Prec@1 64.062 (59.152) Prec@5 82.812 (80.943) Epoch: [46][8930/10010] Time 0.318 (0.327) Data 0.001 (0.001) Loss 1.9995 (1.7961) Prec@1 53.125 (59.150) Prec@5 78.906 (80.943) Epoch: [46][8940/10010] Time 0.312 (0.327) Data 0.001 (0.001) Loss 2.0456 (1.7960) Prec@1 56.250 (59.152) Prec@5 76.562 (80.944) Epoch: [46][8950/10010] Time 0.317 (0.327) Data 0.001 (0.001) Loss 1.9204 (1.7960) Prec@1 56.250 (59.150) Prec@5 78.125 (80.944) Epoch: [46][8960/10010] Time 0.337 (0.327) Data 0.000 (0.001) Loss 1.5104 (1.7961) Prec@1 60.938 (59.146) Prec@5 87.500 (80.944) Epoch: [46][8970/10010] Time 0.341 (0.327) Data 0.000 (0.001) Loss 2.0481 (1.7960) Prec@1 57.812 (59.147) Prec@5 75.000 (80.945) Epoch: [46][8980/10010] Time 0.329 (0.327) Data 0.001 (0.001) Loss 1.9410 (1.7961) Prec@1 54.688 (59.145) Prec@5 77.344 (80.945) Epoch: [46][8990/10010] Time 0.316 (0.327) Data 0.000 (0.001) Loss 1.8433 (1.7962) Prec@1 61.719 (59.142) Prec@5 81.250 (80.942) Epoch: [46][9000/10010] Time 0.317 (0.327) Data 0.001 (0.001) Loss 1.9541 (1.7961) Prec@1 54.688 (59.142) Prec@5 82.031 (80.942) Epoch: [46][9010/10010] Time 0.315 (0.327) Data 0.001 (0.001) Loss 1.3385 (1.7961) Prec@1 64.062 (59.142) Prec@5 87.500 (80.943) Epoch: [46][9020/10010] Time 0.336 (0.327) Data 0.001 (0.001) Loss 1.4766 (1.7961) Prec@1 60.938 (59.140) Prec@5 84.375 (80.941) Epoch: [46][9030/10010] Time 0.336 (0.327) Data 0.001 (0.001) Loss 1.7206 (1.7962) Prec@1 58.594 (59.141) Prec@5 81.250 (80.941) Epoch: [46][9040/10010] Time 0.317 (0.327) Data 0.000 (0.001) Loss 1.5478 (1.7962) Prec@1 61.719 (59.141) Prec@5 87.500 (80.941) Epoch: [46][9050/10010] Time 0.331 (0.327) Data 0.001 (0.001) Loss 1.9605 (1.7963) Prec@1 56.250 (59.139) Prec@5 77.344 (80.942) Epoch: [46][9060/10010] Time 0.327 (0.327) Data 0.000 (0.001) Loss 1.9431 (1.7964) Prec@1 58.594 (59.138) Prec@5 78.906 (80.940) Epoch: [46][9070/10010] Time 0.333 (0.327) Data 0.001 (0.001) Loss 1.9107 (1.7963) Prec@1 56.250 (59.140) Prec@5 82.812 (80.941) Epoch: [46][9080/10010] Time 0.324 (0.327) Data 0.000 (0.001) Loss 1.6075 (1.7963) Prec@1 64.062 (59.140) Prec@5 85.156 (80.941) Epoch: [46][9090/10010] Time 0.324 (0.327) Data 0.001 (0.001) Loss 1.8923 (1.7962) Prec@1 51.562 (59.140) Prec@5 78.906 (80.941) Epoch: [46][9100/10010] Time 0.336 (0.327) Data 0.001 (0.001) Loss 1.7935 (1.7963) Prec@1 54.688 (59.138) Prec@5 82.812 (80.940) Epoch: [46][9110/10010] Time 0.325 (0.327) Data 0.001 (0.001) Loss 1.6152 (1.7963) Prec@1 61.719 (59.137) Prec@5 86.719 (80.940) Epoch: [46][9120/10010] Time 0.337 (0.327) Data 0.001 (0.001) Loss 1.7133 (1.7963) Prec@1 64.062 (59.138) Prec@5 81.250 (80.941) Epoch: [46][9130/10010] Time 0.334 (0.327) Data 0.001 (0.001) Loss 1.5524 (1.7962) Prec@1 65.625 (59.140) Prec@5 81.250 (80.942) Epoch: [46][9140/10010] Time 0.316 (0.327) Data 0.001 (0.001) Loss 1.7310 (1.7962) Prec@1 64.062 (59.138) Prec@5 82.031 (80.942) Epoch: [46][9150/10010] Time 0.313 (0.327) Data 0.001 (0.001) Loss 1.7940 (1.7962) Prec@1 53.125 (59.138) Prec@5 83.594 (80.943) Epoch: [46][9160/10010] Time 0.312 (0.327) Data 0.000 (0.001) Loss 1.9089 (1.7961) Prec@1 52.344 (59.140) Prec@5 78.906 (80.944) Epoch: [46][9170/10010] Time 0.317 (0.327) Data 0.000 (0.001) Loss 1.7004 (1.7961) Prec@1 59.375 (59.139) Prec@5 83.594 (80.945) Epoch: [46][9180/10010] Time 0.327 (0.327) Data 0.000 (0.001) Loss 1.6711 (1.7960) Prec@1 60.938 (59.142) Prec@5 83.594 (80.946) Epoch: [46][9190/10010] Time 0.316 (0.327) Data 0.001 (0.001) Loss 1.6267 (1.7959) Prec@1 60.156 (59.143) Prec@5 85.938 (80.947) Epoch: [46][9200/10010] Time 0.330 (0.327) Data 0.000 (0.001) Loss 1.6065 (1.7959) Prec@1 60.938 (59.142) Prec@5 83.594 (80.947) Epoch: [46][9210/10010] Time 0.335 (0.327) Data 0.001 (0.001) Loss 1.8626 (1.7960) Prec@1 61.719 (59.142) Prec@5 78.906 (80.947) Epoch: [46][9220/10010] Time 0.330 (0.327) Data 0.001 (0.001) Loss 1.5064 (1.7960) Prec@1 65.625 (59.140) Prec@5 83.594 (80.945) Epoch: [46][9230/10010] Time 0.318 (0.327) Data 0.001 (0.001) Loss 1.6889 (1.7960) Prec@1 59.375 (59.141) Prec@5 79.688 (80.946) Epoch: [46][9240/10010] Time 0.318 (0.327) Data 0.000 (0.001) Loss 1.8017 (1.7961) Prec@1 64.062 (59.142) Prec@5 83.594 (80.946) Epoch: [46][9250/10010] Time 0.321 (0.327) Data 0.001 (0.001) Loss 1.7405 (1.7961) Prec@1 60.938 (59.142) Prec@5 85.938 (80.946) Epoch: [46][9260/10010] Time 0.335 (0.327) Data 0.001 (0.001) Loss 1.5366 (1.7961) Prec@1 67.188 (59.143) Prec@5 82.031 (80.944) Epoch: [46][9270/10010] Time 0.316 (0.327) Data 0.001 (0.001) Loss 1.7224 (1.7961) Prec@1 55.469 (59.145) Prec@5 80.469 (80.945) Epoch: [46][9280/10010] Time 0.320 (0.327) Data 0.001 (0.001) Loss 1.5978 (1.7960) Prec@1 66.406 (59.147) Prec@5 82.031 (80.947) Epoch: [46][9290/10010] Time 0.320 (0.327) Data 0.000 (0.001) Loss 1.5665 (1.7959) Prec@1 64.844 (59.148) Prec@5 85.156 (80.947) Epoch: [46][9300/10010] Time 0.322 (0.327) Data 0.001 (0.001) Loss 1.4963 (1.7959) Prec@1 70.312 (59.149) Prec@5 83.594 (80.947) Epoch: [46][9310/10010] Time 0.325 (0.327) Data 0.000 (0.001) Loss 2.1699 (1.7958) Prec@1 50.000 (59.149) Prec@5 76.562 (80.948) Epoch: [46][9320/10010] Time 0.325 (0.327) Data 0.001 (0.001) Loss 1.7787 (1.7959) Prec@1 60.938 (59.146) Prec@5 83.594 (80.946) Epoch: [46][9330/10010] Time 0.320 (0.327) Data 0.001 (0.001) Loss 2.1822 (1.7960) Prec@1 52.344 (59.146) Prec@5 72.656 (80.943) Epoch: [46][9340/10010] Time 0.321 (0.327) Data 0.001 (0.001) Loss 2.2633 (1.7961) Prec@1 53.125 (59.145) Prec@5 71.875 (80.942) Epoch: [46][9350/10010] Time 0.318 (0.327) Data 0.001 (0.001) Loss 2.0393 (1.7961) Prec@1 57.812 (59.144) Prec@5 74.219 (80.943) Epoch: [46][9360/10010] Time 0.312 (0.327) Data 0.000 (0.001) Loss 1.6648 (1.7960) Prec@1 60.156 (59.145) Prec@5 82.812 (80.943) Epoch: [46][9370/10010] Time 0.328 (0.327) Data 0.001 (0.001) Loss 1.8799 (1.7959) Prec@1 57.812 (59.147) Prec@5 77.344 (80.943) Epoch: [46][9380/10010] Time 0.326 (0.327) Data 0.001 (0.001) Loss 1.9860 (1.7959) Prec@1 53.906 (59.146) Prec@5 78.125 (80.944) Epoch: [46][9390/10010] Time 0.327 (0.327) Data 0.001 (0.001) Loss 1.6158 (1.7958) Prec@1 64.062 (59.148) Prec@5 85.938 (80.945) Epoch: [46][9400/10010] Time 0.332 (0.327) Data 0.001 (0.001) Loss 1.8907 (1.7959) Prec@1 58.594 (59.147) Prec@5 77.344 (80.944) Epoch: [46][9410/10010] Time 0.321 (0.327) Data 0.001 (0.001) Loss 1.6958 (1.7958) Prec@1 58.594 (59.149) Prec@5 85.938 (80.945) Epoch: [46][9420/10010] Time 0.326 (0.327) Data 0.001 (0.001) Loss 1.5469 (1.7957) Prec@1 61.719 (59.151) Prec@5 83.594 (80.946) Epoch: [46][9430/10010] Time 0.312 (0.327) Data 0.001 (0.001) Loss 1.9074 (1.7957) Prec@1 60.938 (59.152) Prec@5 81.250 (80.948) Epoch: [46][9440/10010] Time 0.324 (0.327) Data 0.000 (0.001) Loss 1.7825 (1.7957) Prec@1 61.719 (59.154) Prec@5 81.250 (80.947) Epoch: [46][9450/10010] Time 0.320 (0.327) Data 0.000 (0.001) Loss 1.8088 (1.7957) Prec@1 60.938 (59.155) Prec@5 79.688 (80.947) Epoch: [46][9460/10010] Time 0.340 (0.327) Data 0.001 (0.001) Loss 1.8040 (1.7957) Prec@1 60.938 (59.156) Prec@5 79.688 (80.946) Epoch: [46][9470/10010] Time 0.317 (0.327) Data 0.001 (0.001) Loss 1.3620 (1.7957) Prec@1 66.406 (59.156) Prec@5 86.719 (80.946) Epoch: [46][9480/10010] Time 0.335 (0.327) Data 0.001 (0.001) Loss 1.9577 (1.7957) Prec@1 59.375 (59.155) Prec@5 81.250 (80.947) Epoch: [46][9490/10010] Time 0.318 (0.327) Data 0.001 (0.001) Loss 2.1197 (1.7957) Prec@1 55.469 (59.157) Prec@5 76.562 (80.948) Epoch: [46][9500/10010] Time 0.319 (0.327) Data 0.001 (0.001) Loss 1.7243 (1.7957) Prec@1 62.500 (59.157) Prec@5 79.688 (80.947) Epoch: [46][9510/10010] Time 0.320 (0.327) Data 0.001 (0.001) Loss 1.6423 (1.7957) Prec@1 59.375 (59.155) Prec@5 85.938 (80.947) Epoch: [46][9520/10010] Time 0.336 (0.327) Data 0.001 (0.001) Loss 1.9631 (1.7957) Prec@1 51.562 (59.155) Prec@5 82.031 (80.948) Epoch: [46][9530/10010] Time 0.327 (0.327) Data 0.001 (0.001) Loss 1.8133 (1.7956) Prec@1 53.125 (59.154) Prec@5 76.562 (80.948) Epoch: [46][9540/10010] Time 0.327 (0.327) Data 0.001 (0.001) Loss 1.8234 (1.7957) Prec@1 58.594 (59.152) Prec@5 79.688 (80.946) Epoch: [46][9550/10010] Time 0.329 (0.327) Data 0.001 (0.001) Loss 1.7230 (1.7957) Prec@1 60.156 (59.152) Prec@5 82.031 (80.947) Epoch: [46][9560/10010] Time 0.325 (0.327) Data 0.001 (0.001) Loss 1.5043 (1.7957) Prec@1 64.062 (59.150) Prec@5 85.938 (80.947) Epoch: [46][9570/10010] Time 0.340 (0.327) Data 0.001 (0.001) Loss 1.3594 (1.7958) Prec@1 67.969 (59.149) Prec@5 89.844 (80.946) Epoch: [46][9580/10010] Time 0.327 (0.327) Data 0.001 (0.001) Loss 1.6495 (1.7958) Prec@1 64.844 (59.149) Prec@5 82.812 (80.946) Epoch: [46][9590/10010] Time 0.314 (0.327) Data 0.001 (0.001) Loss 1.5976 (1.7959) Prec@1 66.406 (59.148) Prec@5 81.250 (80.945) Epoch: [46][9600/10010] Time 0.321 (0.327) Data 0.001 (0.001) Loss 1.9923 (1.7959) Prec@1 57.031 (59.147) Prec@5 82.031 (80.944) Epoch: [46][9610/10010] Time 0.319 (0.327) Data 0.001 (0.001) Loss 2.1428 (1.7960) Prec@1 57.031 (59.146) Prec@5 80.469 (80.944) Epoch: [46][9620/10010] Time 0.311 (0.327) Data 0.001 (0.001) Loss 1.7279 (1.7958) Prec@1 58.594 (59.149) Prec@5 83.594 (80.946) Epoch: [46][9630/10010] Time 0.333 (0.327) Data 0.001 (0.001) Loss 1.5408 (1.7958) Prec@1 62.500 (59.150) Prec@5 82.812 (80.946) Epoch: [46][9640/10010] Time 0.316 (0.327) Data 0.000 (0.001) Loss 1.6285 (1.7958) Prec@1 60.938 (59.150) Prec@5 82.812 (80.946) Epoch: [46][9650/10010] Time 0.332 (0.327) Data 0.000 (0.001) Loss 1.7375 (1.7960) Prec@1 63.281 (59.148) Prec@5 83.594 (80.943) Epoch: [46][9660/10010] Time 0.324 (0.327) Data 0.000 (0.001) Loss 1.9359 (1.7960) Prec@1 55.469 (59.148) Prec@5 78.906 (80.942) Epoch: [46][9670/10010] Time 0.321 (0.327) Data 0.001 (0.001) Loss 2.0335 (1.7960) Prec@1 52.344 (59.145) Prec@5 78.125 (80.941) Epoch: [46][9680/10010] Time 0.331 (0.327) Data 0.001 (0.001) Loss 1.5887 (1.7960) Prec@1 58.594 (59.146) Prec@5 84.375 (80.942) Epoch: [46][9690/10010] Time 0.315 (0.327) Data 0.000 (0.001) Loss 1.3504 (1.7959) Prec@1 66.406 (59.146) Prec@5 89.062 (80.942) Epoch: [46][9700/10010] Time 0.332 (0.327) Data 0.001 (0.001) Loss 1.8012 (1.7960) Prec@1 55.469 (59.144) Prec@5 83.594 (80.943) Epoch: [46][9710/10010] Time 0.331 (0.327) Data 0.001 (0.001) Loss 1.7077 (1.7960) Prec@1 59.375 (59.141) Prec@5 80.469 (80.941) Epoch: [46][9720/10010] Time 0.317 (0.327) Data 0.001 (0.001) Loss 1.7416 (1.7961) Prec@1 56.250 (59.141) Prec@5 78.125 (80.940) Epoch: [46][9730/10010] Time 0.337 (0.327) Data 0.000 (0.001) Loss 2.0720 (1.7960) Prec@1 53.906 (59.141) Prec@5 77.344 (80.938) Epoch: [46][9740/10010] Time 0.327 (0.327) Data 0.001 (0.001) Loss 2.3222 (1.7961) Prec@1 50.781 (59.140) Prec@5 74.219 (80.938) Epoch: [46][9750/10010] Time 0.327 (0.327) Data 0.001 (0.001) Loss 2.0280 (1.7961) Prec@1 52.344 (59.138) Prec@5 75.781 (80.938) Epoch: [46][9760/10010] Time 0.332 (0.327) Data 0.001 (0.001) Loss 1.9069 (1.7961) Prec@1 59.375 (59.135) Prec@5 79.688 (80.938) Epoch: [46][9770/10010] Time 0.323 (0.327) Data 0.001 (0.001) Loss 2.0653 (1.7963) Prec@1 57.812 (59.132) Prec@5 78.125 (80.937) Epoch: [46][9780/10010] Time 0.319 (0.327) Data 0.000 (0.001) Loss 1.8485 (1.7962) Prec@1 60.156 (59.135) Prec@5 78.906 (80.938) Epoch: [46][9790/10010] Time 0.319 (0.327) Data 0.001 (0.001) Loss 2.0356 (1.7963) Prec@1 55.469 (59.133) Prec@5 77.344 (80.937) Epoch: [46][9800/10010] Time 0.319 (0.327) Data 0.000 (0.001) Loss 1.7724 (1.7963) Prec@1 62.500 (59.135) Prec@5 78.906 (80.936) Epoch: [46][9810/10010] Time 0.331 (0.327) Data 0.000 (0.001) Loss 2.0163 (1.7963) Prec@1 54.688 (59.135) Prec@5 78.125 (80.936) Epoch: [46][9820/10010] Time 0.320 (0.327) Data 0.000 (0.001) Loss 2.0793 (1.7964) Prec@1 51.562 (59.134) Prec@5 76.562 (80.934) Epoch: [46][9830/10010] Time 0.336 (0.327) Data 0.001 (0.001) Loss 1.6806 (1.7964) Prec@1 57.812 (59.134) Prec@5 85.938 (80.934) Epoch: [46][9840/10010] Time 0.318 (0.327) Data 0.001 (0.001) Loss 1.5311 (1.7965) Prec@1 65.625 (59.134) Prec@5 86.719 (80.933) Epoch: [46][9850/10010] Time 0.322 (0.327) Data 0.000 (0.001) Loss 2.0056 (1.7965) Prec@1 60.938 (59.136) Prec@5 78.906 (80.932) Epoch: [46][9860/10010] Time 0.337 (0.327) Data 0.000 (0.001) Loss 1.9312 (1.7965) Prec@1 57.812 (59.136) Prec@5 81.250 (80.931) Epoch: [46][9870/10010] Time 0.325 (0.327) Data 0.001 (0.001) Loss 1.6947 (1.7965) Prec@1 57.812 (59.135) Prec@5 81.250 (80.931) Epoch: [46][9880/10010] Time 0.328 (0.327) Data 0.001 (0.001) Loss 1.7654 (1.7965) Prec@1 58.594 (59.135) Prec@5 82.812 (80.932) Epoch: [46][9890/10010] Time 0.336 (0.327) Data 0.000 (0.001) Loss 1.7870 (1.7965) Prec@1 59.375 (59.134) Prec@5 80.469 (80.932) Epoch: [46][9900/10010] Time 0.341 (0.327) Data 0.001 (0.001) Loss 1.6375 (1.7965) Prec@1 60.938 (59.134) Prec@5 82.812 (80.931) Epoch: [46][9910/10010] Time 0.330 (0.327) Data 0.001 (0.001) Loss 2.3042 (1.7965) Prec@1 50.781 (59.134) Prec@5 74.219 (80.932) Epoch: [46][9920/10010] Time 0.314 (0.327) Data 0.000 (0.001) Loss 1.8803 (1.7965) Prec@1 59.375 (59.134) Prec@5 81.250 (80.933) Epoch: [46][9930/10010] Time 0.326 (0.327) Data 0.001 (0.001) Loss 2.0032 (1.7964) Prec@1 57.031 (59.134) Prec@5 78.125 (80.934) Epoch: [46][9940/10010] Time 0.317 (0.327) Data 0.001 (0.001) Loss 1.7398 (1.7965) Prec@1 60.156 (59.133) Prec@5 83.594 (80.935) Epoch: [46][9950/10010] Time 0.334 (0.327) Data 0.001 (0.001) Loss 1.6786 (1.7966) Prec@1 64.844 (59.132) Prec@5 82.031 (80.933) Epoch: [46][9960/10010] Time 0.340 (0.327) Data 0.000 (0.001) Loss 1.7117 (1.7966) Prec@1 59.375 (59.132) Prec@5 84.375 (80.932) Epoch: [46][9970/10010] Time 0.320 (0.327) Data 0.000 (0.001) Loss 1.5846 (1.7965) Prec@1 61.719 (59.134) Prec@5 83.594 (80.933) Epoch: [46][9980/10010] Time 0.335 (0.327) Data 0.001 (0.001) Loss 1.6994 (1.7964) Prec@1 59.375 (59.136) Prec@5 83.594 (80.936) Epoch: [46][9990/10010] Time 0.317 (0.327) Data 0.001 (0.001) Loss 1.7773 (1.7964) Prec@1 53.906 (59.134) Prec@5 82.031 (80.936) Epoch: [46][10000/10010] Time 0.331 (0.327) Data 0.000 (0.001) Loss 1.8256 (1.7963) Prec@1 59.375 (59.134) Prec@5 82.031 (80.937) Test: [0/391] Time 1.275 (1.275) Loss 0.6759 (0.6759) Prec@1 84.375 (84.375) Prec@5 95.312 (95.312) Test: [10/391] Time 0.104 (0.210) Loss 1.3175 (0.8430) Prec@1 68.750 (79.545) Prec@5 89.844 (92.969) Test: [20/391] Time 0.102 (0.165) Loss 1.1828 (1.1447) Prec@1 71.094 (71.726) Prec@5 89.062 (89.360) Test: [30/391] Time 0.102 (0.145) Loss 1.7484 (1.3162) Prec@1 66.406 (67.389) Prec@5 83.594 (87.752) Test: [40/391] Time 0.107 (0.136) Loss 1.3625 (1.1942) Prec@1 64.844 (70.084) Prec@5 85.938 (88.910) Test: [50/391] Time 0.106 (0.131) Loss 0.6995 (1.2256) Prec@1 79.688 (69.623) Prec@5 94.531 (88.695) Test: [60/391] Time 0.106 (0.127) Loss 1.2004 (1.1722) Prec@1 72.656 (70.991) Prec@5 86.719 (89.383) Test: [70/391] Time 0.112 (0.124) Loss 1.1259 (1.2102) Prec@1 62.500 (69.751) Prec@5 94.531 (89.316) Test: [80/391] Time 0.102 (0.122) Loss 1.6341 (1.2390) Prec@1 52.344 (68.490) Prec@5 85.156 (89.323) Test: [90/391] Time 0.106 (0.120) Loss 1.2400 (1.2443) Prec@1 56.250 (68.261) Prec@5 92.188 (89.423) Test: [100/391] Time 0.102 (0.119) Loss 0.9163 (1.2282) Prec@1 78.125 (68.263) Prec@5 92.969 (89.782) Test: [110/391] Time 0.109 (0.118) Loss 1.8429 (1.2346) Prec@1 45.312 (67.814) Prec@5 82.031 (89.823) Test: [120/391] Time 0.101 (0.117) Loss 1.1656 (1.2260) Prec@1 71.094 (68.240) Prec@5 91.406 (89.954) Test: [130/391] Time 0.104 (0.116) Loss 0.7542 (1.2168) Prec@1 82.812 (68.607) Prec@5 94.531 (90.058) Test: [140/391] Time 0.105 (0.115) Loss 1.6684 (1.2164) Prec@1 53.125 (68.617) Prec@5 89.062 (90.049) Test: [150/391] Time 0.101 (0.114) Loss 1.0774 (1.2208) Prec@1 64.844 (68.548) Prec@5 92.969 (89.963) Test: [160/391] Time 0.104 (0.114) Loss 1.2059 (1.2293) Prec@1 70.312 (68.469) Prec@5 89.844 (89.868) Test: [170/391] Time 0.103 (0.113) Loss 1.5221 (1.2654) Prec@1 67.969 (67.868) Prec@5 87.500 (89.355) Test: [180/391] Time 0.103 (0.113) Loss 2.2910 (1.3015) Prec@1 41.406 (67.205) Prec@5 80.469 (88.877) Test: [190/391] Time 0.102 (0.112) Loss 2.7852 (1.3487) Prec@1 37.500 (66.271) Prec@5 79.688 (88.249) Test: [200/391] Time 0.115 (0.112) Loss 1.7943 (1.3847) Prec@1 52.344 (65.532) Prec@5 80.469 (87.753) Test: [210/391] Time 0.111 (0.112) Loss 1.6565 (1.4026) Prec@1 66.406 (65.192) Prec@5 84.375 (87.511) Test: [220/391] Time 0.101 (0.112) Loss 0.6645 (1.4113) Prec@1 83.594 (65.070) Prec@5 96.094 (87.302) Test: [230/391] Time 0.102 (0.112) Loss 2.5290 (1.4284) Prec@1 39.844 (64.861) Prec@5 68.750 (87.064) Test: [240/391] Time 0.103 (0.111) Loss 1.5549 (1.4379) Prec@1 68.750 (64.844) Prec@5 85.938 (86.858) Test: [250/391] Time 0.104 (0.111) Loss 1.1301 (1.4735) Prec@1 76.562 (64.131) Prec@5 89.062 (86.407) Test: [260/391] Time 0.107 (0.111) Loss 1.6721 (1.4957) Prec@1 63.281 (63.682) Prec@5 79.688 (86.129) Test: [270/391] Time 0.104 (0.111) Loss 2.0533 (1.5049) Prec@1 51.562 (63.561) Prec@5 80.469 (85.963) Test: [280/391] Time 0.101 (0.111) Loss 1.7374 (1.5127) Prec@1 57.031 (63.445) Prec@5 82.812 (85.910) Test: [290/391] Time 0.102 (0.111) Loss 1.8178 (1.5258) Prec@1 46.094 (63.222) Prec@5 85.938 (85.666) Test: [300/391] Time 0.102 (0.110) Loss 1.5670 (1.5356) Prec@1 74.219 (63.141) Prec@5 84.375 (85.520) Test: [310/391] Time 0.104 (0.110) Loss 1.6729 (1.5458) Prec@1 60.156 (62.967) Prec@5 80.469 (85.325) Test: [320/391] Time 0.103 (0.110) Loss 1.1870 (1.5530) Prec@1 71.094 (62.887) Prec@5 89.062 (85.261) Test: [330/391] Time 0.101 (0.110) Loss 2.1712 (1.5792) Prec@1 52.344 (62.424) Prec@5 76.562 (84.838) Test: [340/391] Time 0.105 (0.110) Loss 1.4638 (1.5869) Prec@1 60.156 (62.223) Prec@5 89.844 (84.719) Test: [350/391] Time 0.104 (0.110) Loss 1.5225 (1.5909) Prec@1 69.531 (62.108) Prec@5 87.500 (84.655) Test: [360/391] Time 0.100 (0.110) Loss 1.6179 (1.5998) Prec@1 57.812 (61.916) Prec@5 89.062 (84.555) Test: [370/391] Time 0.107 (0.110) Loss 1.1358 (1.5915) Prec@1 65.625 (62.070) Prec@5 93.750 (84.672) Test: [380/391] Time 0.104 (0.109) Loss 1.0652 (1.5919) Prec@1 71.875 (62.061) Prec@5 94.531 (84.676) Test: [390/391] Time 0.070 (0.109) Loss 2.4697 (1.5812) Prec@1 40.000 (62.292) Prec@5 72.500 (84.840) * Prec@1 62.292 Prec@5 84.840 Epoch: [47][0/10010] Time 2.700 (2.700) Data 2.492 (2.492) Loss 1.8086 (1.8086) Prec@1 62.500 (62.500) Prec@5 79.688 (79.688) Epoch: [47][10/10010] Time 0.317 (0.533) Data 0.000 (0.227) Loss 1.7288 (1.7718) Prec@1 58.594 (59.517) Prec@5 84.375 (81.321) Epoch: [47][20/10010] Time 0.318 (0.429) Data 0.000 (0.119) Loss 2.0829 (1.7675) Prec@1 52.344 (59.487) Prec@5 78.906 (81.436) Epoch: [47][30/10010] Time 0.313 (0.393) Data 0.001 (0.081) Loss 1.8485 (1.7713) Prec@1 55.469 (59.224) Prec@5 80.469 (81.326) Epoch: [47][40/10010] Time 0.321 (0.374) Data 0.001 (0.061) Loss 1.8856 (1.7753) Prec@1 54.688 (59.318) Prec@5 82.031 (81.421) Epoch: [47][50/10010] Time 0.313 (0.363) Data 0.001 (0.049) Loss 2.0690 (1.7745) Prec@1 59.375 (59.344) Prec@5 79.688 (81.495) Epoch: [47][60/10010] Time 0.329 (0.357) Data 0.000 (0.041) Loss 2.0582 (1.7798) Prec@1 56.250 (59.362) Prec@5 76.562 (81.352) Epoch: [47][70/10010] Time 0.326 (0.353) Data 0.000 (0.036) Loss 1.8965 (1.7679) Prec@1 62.500 (59.804) Prec@5 82.031 (81.305) Epoch: [47][80/10010] Time 0.324 (0.349) Data 0.000 (0.031) Loss 1.4838 (1.7596) Prec@1 65.625 (59.799) Prec@5 85.938 (81.520) Epoch: [47][90/10010] Time 0.319 (0.345) Data 0.000 (0.028) Loss 1.7214 (1.7646) Prec@1 58.594 (59.710) Prec@5 85.938 (81.473) Epoch: [47][100/10010] Time 0.329 (0.343) Data 0.001 (0.025) Loss 1.7275 (1.7795) Prec@1 58.594 (59.630) Prec@5 85.156 (81.335) Epoch: [47][110/10010] Time 0.333 (0.342) Data 0.001 (0.023) Loss 1.7888 (1.7767) Prec@1 58.594 (59.790) Prec@5 83.594 (81.440) Epoch: [47][120/10010] Time 0.321 (0.341) Data 0.001 (0.021) Loss 1.7864 (1.7745) Prec@1 59.375 (59.795) Prec@5 82.812 (81.515) Epoch: [47][130/10010] Time 0.340 (0.340) Data 0.001 (0.020) Loss 1.6581 (1.7766) Prec@1 62.500 (59.858) Prec@5 82.031 (81.429) Epoch: [47][140/10010] Time 0.321 (0.339) Data 0.001 (0.018) Loss 1.4791 (1.7825) Prec@1 65.625 (59.829) Prec@5 85.938 (81.272) Epoch: [47][150/10010] Time 0.330 (0.338) Data 0.000 (0.017) Loss 1.7523 (1.7783) Prec@1 58.594 (60.006) Prec@5 84.375 (81.297) Epoch: [47][160/10010] Time 0.312 (0.337) Data 0.001 (0.016) Loss 1.8233 (1.7807) Prec@1 62.500 (59.938) Prec@5 78.125 (81.250) Epoch: [47][170/10010] Time 0.321 (0.336) Data 0.000 (0.015) Loss 1.7036 (1.7802) Prec@1 64.062 (59.878) Prec@5 82.031 (81.264) Epoch: [47][180/10010] Time 0.321 (0.336) Data 0.001 (0.014) Loss 1.7666 (1.7818) Prec@1 58.594 (59.854) Prec@5 82.812 (81.203) Epoch: [47][190/10010] Time 0.324 (0.336) Data 0.000 (0.014) Loss 1.5228 (1.7828) Prec@1 67.188 (59.845) Prec@5 85.938 (81.189) Epoch: [47][200/10010] Time 0.336 (0.335) Data 0.001 (0.013) Loss 1.8064 (1.7858) Prec@1 55.469 (59.713) Prec@5 82.812 (81.227) Epoch: [47][210/10010] Time 0.322 (0.335) Data 0.001 (0.012) Loss 1.4841 (1.7821) Prec@1 62.500 (59.730) Prec@5 87.500 (81.339) Epoch: [47][220/10010] Time 0.336 (0.335) Data 0.001 (0.012) Loss 1.8731 (1.7840) Prec@1 57.812 (59.619) Prec@5 78.906 (81.264) Epoch: [47][230/10010] Time 0.331 (0.335) Data 0.000 (0.011) Loss 1.5008 (1.7793) Prec@1 63.281 (59.690) Prec@5 84.375 (81.328) Epoch: [47][240/10010] Time 0.310 (0.335) Data 0.001 (0.011) Loss 1.8533 (1.7725) Prec@1 59.375 (59.826) Prec@5 79.688 (81.435) Epoch: [47][250/10010] Time 0.338 (0.335) Data 0.000 (0.011) Loss 1.7852 (1.7697) Prec@1 59.375 (59.845) Prec@5 81.250 (81.493) Epoch: [47][260/10010] Time 0.314 (0.334) Data 0.001 (0.010) Loss 1.2496 (1.7678) Prec@1 73.438 (59.875) Prec@5 92.188 (81.510) Epoch: [47][270/10010] Time 0.335 (0.334) Data 0.001 (0.010) Loss 1.8849 (1.7696) Prec@1 57.031 (59.836) Prec@5 75.781 (81.458) Epoch: [47][280/10010] Time 0.317 (0.334) Data 0.001 (0.009) Loss 1.9003 (1.7686) Prec@1 56.250 (59.839) Prec@5 71.875 (81.436) Epoch: [47][290/10010] Time 0.334 (0.334) Data 0.001 (0.009) Loss 1.7012 (1.7683) Prec@1 61.719 (59.845) Prec@5 82.031 (81.419) Epoch: [47][300/10010] Time 0.331 (0.334) Data 0.001 (0.009) Loss 1.7489 (1.7677) Prec@1 62.500 (59.920) Prec@5 80.469 (81.447) Epoch: [47][310/10010] Time 0.334 (0.334) Data 0.001 (0.009) Loss 1.7872 (1.7697) Prec@1 55.469 (59.895) Prec@5 81.250 (81.383) Epoch: [47][320/10010] Time 0.318 (0.334) Data 0.001 (0.008) Loss 2.0132 (1.7728) Prec@1 58.594 (59.871) Prec@5 75.000 (81.328) Epoch: [47][330/10010] Time 0.321 (0.333) Data 0.000 (0.008) Loss 1.7235 (1.7711) Prec@1 60.156 (59.908) Prec@5 82.031 (81.375) Epoch: [47][340/10010] Time 0.337 (0.333) Data 0.001 (0.008) Loss 1.9930 (1.7719) Prec@1 56.250 (59.881) Prec@5 76.562 (81.349) Epoch: [47][350/10010] Time 0.320 (0.333) Data 0.001 (0.008) Loss 1.7338 (1.7722) Prec@1 67.188 (59.867) Prec@5 84.375 (81.397) Epoch: [47][360/10010] Time 0.330 (0.333) Data 0.001 (0.008) Loss 1.6942 (1.7728) Prec@1 59.375 (59.842) Prec@5 84.375 (81.397) Epoch: [47][370/10010] Time 0.313 (0.333) Data 0.001 (0.007) Loss 1.7522 (1.7719) Prec@1 64.062 (59.845) Prec@5 84.375 (81.412) Epoch: [47][380/10010] Time 0.333 (0.333) Data 0.001 (0.007) Loss 1.6902 (1.7726) Prec@1 60.156 (59.853) Prec@5 84.375 (81.402) Epoch: [47][390/10010] Time 0.316 (0.333) Data 0.000 (0.007) Loss 1.7115 (1.7740) Prec@1 61.719 (59.793) Prec@5 82.031 (81.384) Epoch: [47][400/10010] Time 0.334 (0.332) Data 0.001 (0.007) Loss 1.7658 (1.7755) Prec@1 64.844 (59.753) Prec@5 78.125 (81.349) Epoch: [47][410/10010] Time 0.323 (0.332) Data 0.000 (0.007) Loss 1.4592 (1.7727) Prec@1 68.750 (59.801) Prec@5 89.062 (81.432) Epoch: [47][420/10010] Time 0.323 (0.332) Data 0.001 (0.007) Loss 1.6054 (1.7736) Prec@1 63.281 (59.761) Prec@5 82.031 (81.424) Epoch: [47][430/10010] Time 0.341 (0.332) Data 0.000 (0.006) Loss 1.7579 (1.7733) Prec@1 57.031 (59.768) Prec@5 78.125 (81.415) Epoch: [47][440/10010] Time 0.315 (0.332) Data 0.000 (0.006) Loss 1.7474 (1.7735) Prec@1 60.938 (59.738) Prec@5 77.344 (81.420) Epoch: [47][450/10010] Time 0.327 (0.332) Data 0.000 (0.006) Loss 2.1418 (1.7744) Prec@1 53.125 (59.713) Prec@5 75.000 (81.387) Epoch: [47][460/10010] Time 0.336 (0.332) Data 0.001 (0.006) Loss 1.7733 (1.7731) Prec@1 58.594 (59.695) Prec@5 82.812 (81.403) Epoch: [47][470/10010] Time 0.334 (0.332) Data 0.001 (0.006) Loss 1.7227 (1.7706) Prec@1 67.969 (59.742) Prec@5 82.812 (81.439) Epoch: [47][480/10010] Time 0.334 (0.332) Data 0.001 (0.006) Loss 1.6127 (1.7717) Prec@1 67.188 (59.729) Prec@5 86.719 (81.422) Epoch: [47][490/10010] Time 0.338 (0.332) Data 0.000 (0.006) Loss 2.0242 (1.7715) Prec@1 53.906 (59.733) Prec@5 81.250 (81.439) Epoch: [47][500/10010] Time 0.328 (0.332) Data 0.001 (0.006) Loss 1.8677 (1.7737) Prec@1 57.812 (59.735) Prec@5 79.688 (81.404) /data/vision/torralba/deepscene/lib/anaconda2/lib/python2.7/site-packages/PIL/TiffImagePlugin.py:692: UserWarning: Possibly corrupt EXIF data. Expecting to read 1835008 bytes but only got 0. Skipping tag 0 "Skipping tag %s" % (size, len(data), tag)) Epoch: [47][510/10010] Time 0.319 (0.331) Data 0.001 (0.006) Loss 1.9859 (1.7749) Prec@1 55.469 (59.675) Prec@5 79.688 (81.375) Epoch: [47][520/10010] Time 0.314 (0.331) Data 0.001 (0.005) Loss 1.6119 (1.7734) Prec@1 57.812 (59.697) Prec@5 81.250 (81.392) Epoch: [47][530/10010] Time 0.325 (0.331) Data 0.000 (0.005) Loss 2.0999 (1.7741) Prec@1 50.781 (59.684) Prec@5 77.344 (81.385) Epoch: [47][540/10010] Time 0.323 (0.331) Data 0.001 (0.005) Loss 1.8076 (1.7746) Prec@1 55.469 (59.668) Prec@5 80.469 (81.387) Epoch: [47][550/10010] Time 0.316 (0.331) Data 0.001 (0.005) Loss 1.9300 (1.7758) Prec@1 53.906 (59.650) Prec@5 78.906 (81.378) Epoch: [47][560/10010] Time 0.338 (0.331) Data 0.000 (0.005) Loss 1.9620 (1.7756) Prec@1 52.344 (59.612) Prec@5 79.688 (81.395) Epoch: [47][570/10010] Time 0.333 (0.330) Data 0.001 (0.005) Loss 1.6098 (1.7758) Prec@1 65.625 (59.614) Prec@5 82.812 (81.394) Epoch: [47][580/10010] Time 0.319 (0.330) Data 0.001 (0.005) Loss 2.1440 (1.7765) Prec@1 46.875 (59.569) Prec@5 75.781 (81.366) Epoch: [47][590/10010] Time 0.324 (0.330) Data 0.001 (0.005) Loss 1.8801 (1.7753) Prec@1 57.812 (59.583) Prec@5 82.812 (81.399) Epoch: [47][600/10010] Time 0.331 (0.330) Data 0.000 (0.005) Loss 1.5742 (1.7756) Prec@1 65.625 (59.602) Prec@5 84.375 (81.385) Epoch: [47][610/10010] Time 0.317 (0.330) Data 0.001 (0.005) Loss 1.8492 (1.7745) Prec@1 60.156 (59.636) Prec@5 80.469 (81.387) Epoch: [47][620/10010] Time 0.320 (0.330) Data 0.000 (0.005) Loss 2.0159 (1.7747) Prec@1 57.812 (59.613) Prec@5 77.344 (81.390) Epoch: [47][630/10010] Time 0.336 (0.330) Data 0.001 (0.005) Loss 2.1445 (1.7741) Prec@1 53.125 (59.642) Prec@5 76.562 (81.405) Epoch: [47][640/10010] Time 0.312 (0.330) Data 0.001 (0.005) Loss 1.5586 (1.7739) Prec@1 62.500 (59.647) Prec@5 82.031 (81.418) Epoch: [47][650/10010] Time 0.337 (0.330) Data 0.000 (0.004) Loss 1.7017 (1.7738) Prec@1 64.844 (59.656) Prec@5 80.469 (81.412) Epoch: [47][660/10010] Time 0.325 (0.330) Data 0.001 (0.004) Loss 2.0399 (1.7735) Prec@1 52.344 (59.676) Prec@5 74.219 (81.401) Epoch: [47][670/10010] Time 0.320 (0.330) Data 0.001 (0.004) Loss 1.7573 (1.7733) Prec@1 57.031 (59.673) Prec@5 81.250 (81.408) Epoch: [47][680/10010] Time 0.332 (0.330) Data 0.001 (0.004) Loss 1.8424 (1.7738) Prec@1 57.031 (59.645) Prec@5 80.469 (81.417) Epoch: [47][690/10010] Time 0.335 (0.329) Data 0.000 (0.004) Loss 1.6250 (1.7741) Prec@1 59.375 (59.642) Prec@5 82.031 (81.399) Epoch: [47][700/10010] Time 0.340 (0.329) Data 0.000 (0.004) Loss 1.5944 (1.7739) Prec@1 64.844 (59.641) Prec@5 84.375 (81.383) Epoch: [47][710/10010] Time 0.312 (0.329) Data 0.001 (0.004) Loss 1.4379 (1.7737) Prec@1 67.188 (59.651) Prec@5 85.938 (81.383) Epoch: [47][720/10010] Time 0.316 (0.329) Data 0.000 (0.004) Loss 1.9406 (1.7746) Prec@1 56.250 (59.603) Prec@5 81.250 (81.384) Epoch: [47][730/10010] Time 0.323 (0.329) Data 0.001 (0.004) Loss 1.5196 (1.7741) Prec@1 67.188 (59.624) Prec@5 84.375 (81.395) Epoch: [47][740/10010] Time 0.313 (0.329) Data 0.001 (0.004) Loss 1.8695 (1.7741) Prec@1 53.906 (59.615) Prec@5 78.906 (81.388) Epoch: [47][750/10010] Time 0.319 (0.329) Data 0.000 (0.004) Loss 1.5756 (1.7741) Prec@1 60.156 (59.616) Prec@5 83.594 (81.383) Epoch: [47][760/10010] Time 0.327 (0.329) Data 0.001 (0.004) Loss 1.4741 (1.7739) Prec@1 67.969 (59.613) Prec@5 83.594 (81.370) Epoch: [47][770/10010] Time 0.321 (0.329) Data 0.000 (0.004) Loss 1.5749 (1.7740) Prec@1 59.375 (59.603) Prec@5 84.375 (81.372) Epoch: [47][780/10010] Time 0.326 (0.329) Data 0.000 (0.004) Loss 1.7686 (1.7730) Prec@1 57.031 (59.605) Prec@5 82.812 (81.386) Epoch: [47][790/10010] Time 0.338 (0.329) Data 0.001 (0.004) Loss 1.6743 (1.7719) Prec@1 67.188 (59.613) Prec@5 84.375 (81.407) Epoch: [47][800/10010] Time 0.318 (0.329) Data 0.001 (0.004) Loss 1.6309 (1.7716) Prec@1 64.062 (59.634) Prec@5 82.812 (81.410) Epoch: [47][810/10010] Time 0.321 (0.329) Data 0.000 (0.004) Loss 1.6437 (1.7717) Prec@1 60.156 (59.628) Prec@5 83.594 (81.414) Epoch: [47][820/10010] Time 0.324 (0.329) Data 0.001 (0.004) Loss 1.5709 (1.7714) Prec@1 63.281 (59.640) Prec@5 85.156 (81.420) Epoch: [47][830/10010] Time 0.335 (0.329) Data 0.000 (0.004) Loss 1.9039 (1.7719) Prec@1 53.906 (59.636) Prec@5 77.344 (81.416) Epoch: [47][840/10010] Time 0.335 (0.329) Data 0.000 (0.004) Loss 1.8584 (1.7715) Prec@1 59.375 (59.632) Prec@5 80.469 (81.429) Epoch: [47][850/10010] Time 0.330 (0.329) Data 0.000 (0.004) Loss 1.5445 (1.7713) Prec@1 58.594 (59.625) Prec@5 88.281 (81.433) Epoch: [47][860/10010] Time 0.321 (0.329) Data 0.000 (0.004) Loss 1.8817 (1.7728) Prec@1 57.812 (59.599) Prec@5 78.906 (81.413) Epoch: [47][870/10010] Time 0.327 (0.329) Data 0.000 (0.003) Loss 1.9338 (1.7731) Prec@1 54.688 (59.615) Prec@5 79.688 (81.398) Epoch: [47][880/10010] Time 0.314 (0.329) Data 0.001 (0.003) Loss 2.1351 (1.7735) Prec@1 52.344 (59.604) Prec@5 73.438 (81.394) Epoch: [47][890/10010] Time 0.322 (0.329) Data 0.001 (0.003) Loss 1.9220 (1.7735) Prec@1 56.250 (59.604) Prec@5 78.906 (81.395) Epoch: [47][900/10010] Time 0.318 (0.328) Data 0.001 (0.003) Loss 1.6683 (1.7733) Prec@1 53.125 (59.595) Prec@5 84.375 (81.396) Epoch: [47][910/10010] Time 0.322 (0.328) Data 0.001 (0.003) Loss 1.7497 (1.7727) Prec@1 60.156 (59.603) Prec@5 83.594 (81.403) Epoch: [47][920/10010] Time 0.318 (0.328) Data 0.000 (0.003) Loss 1.9346 (1.7727) Prec@1 57.031 (59.595) Prec@5 78.125 (81.401) Epoch: [47][930/10010] Time 0.323 (0.328) Data 0.001 (0.003) Loss 1.7553 (1.7730) Prec@1 53.125 (59.593) Prec@5 78.906 (81.391) Epoch: [47][940/10010] Time 0.315 (0.328) Data 0.000 (0.003) Loss 1.7466 (1.7727) Prec@1 64.062 (59.594) Prec@5 77.344 (81.387) Epoch: [47][950/10010] Time 0.322 (0.328) Data 0.001 (0.003) Loss 1.8444 (1.7723) Prec@1 53.906 (59.607) Prec@5 78.906 (81.385) Epoch: [47][960/10010] Time 0.322 (0.328) Data 0.001 (0.003) Loss 1.9782 (1.7716) Prec@1 57.031 (59.607) Prec@5 76.562 (81.390) Epoch: [47][970/10010] Time 0.316 (0.328) Data 0.001 (0.003) Loss 1.6560 (1.7719) Prec@1 61.719 (59.599) Prec@5 78.906 (81.371) Epoch: [47][980/10010] Time 0.336 (0.328) Data 0.000 (0.003) Loss 2.0217 (1.7723) Prec@1 58.594 (59.601) Prec@5 76.562 (81.357) Epoch: [47][990/10010] Time 0.320 (0.328) Data 0.000 (0.003) Loss 1.8244 (1.7734) Prec@1 55.469 (59.579) Prec@5 80.469 (81.340) Epoch: [47][1000/10010] Time 0.337 (0.328) Data 0.001 (0.003) Loss 1.8295 (1.7739) Prec@1 57.812 (59.559) Prec@5 79.688 (81.326) Epoch: [47][1010/10010] Time 0.319 (0.328) Data 0.000 (0.003) Loss 1.8483 (1.7736) Prec@1 56.250 (59.570) Prec@5 79.688 (81.323) Epoch: [47][1020/10010] Time 0.336 (0.328) Data 0.000 (0.003) Loss 1.7332 (1.7737) Prec@1 60.938 (59.575) Prec@5 78.125 (81.327) Epoch: [47][1030/10010] Time 0.320 (0.328) Data 0.000 (0.003) Loss 1.9388 (1.7745) Prec@1 55.469 (59.571) Prec@5 79.688 (81.313) Epoch: [47][1040/10010] Time 0.337 (0.328) Data 0.001 (0.003) Loss 1.6579 (1.7742) Prec@1 65.625 (59.571) Prec@5 85.156 (81.324) Epoch: [47][1050/10010] Time 0.332 (0.328) Data 0.001 (0.003) Loss 1.6546 (1.7734) Prec@1 63.281 (59.597) Prec@5 85.938 (81.338) Epoch: [47][1060/10010] Time 0.341 (0.328) Data 0.001 (0.003) Loss 1.9373 (1.7730) Prec@1 56.250 (59.616) Prec@5 82.031 (81.344) Epoch: [47][1070/10010] Time 0.321 (0.328) Data 0.000 (0.003) Loss 1.5334 (1.7733) Prec@1 66.406 (59.626) Prec@5 82.031 (81.335) Epoch: [47][1080/10010] Time 0.333 (0.328) Data 0.001 (0.003) Loss 1.8283 (1.7741) Prec@1 56.250 (59.608) Prec@5 81.250 (81.319) Epoch: [47][1090/10010] Time 0.334 (0.328) Data 0.001 (0.003) Loss 1.8603 (1.7741) Prec@1 58.594 (59.613) Prec@5 81.250 (81.320) Epoch: [47][1100/10010] Time 0.339 (0.328) Data 0.000 (0.003) Loss 1.9827 (1.7750) Prec@1 52.344 (59.594) Prec@5 78.125 (81.308) Epoch: [47][1110/10010] Time 0.331 (0.328) Data 0.001 (0.003) Loss 1.8752 (1.7753) Prec@1 57.031 (59.585) Prec@5 77.344 (81.303) Epoch: [47][1120/10010] Time 0.317 (0.328) Data 0.001 (0.003) Loss 1.8110 (1.7749) Prec@1 57.031 (59.579) Prec@5 79.688 (81.308) Epoch: [47][1130/10010] Time 0.339 (0.328) Data 0.000 (0.003) Loss 1.8964 (1.7750) Prec@1 54.688 (59.575) Prec@5 82.031 (81.312) Epoch: [47][1140/10010] Time 0.319 (0.328) Data 0.000 (0.003) Loss 1.5298 (1.7752) Prec@1 64.844 (59.571) Prec@5 83.594 (81.312) Epoch: [47][1150/10010] Time 0.315 (0.328) Data 0.000 (0.003) Loss 1.5122 (1.7742) Prec@1 61.719 (59.589) Prec@5 79.688 (81.321) Epoch: [47][1160/10010] Time 0.332 (0.328) Data 0.001 (0.003) Loss 1.8905 (1.7744) Prec@1 57.031 (59.590) Prec@5 80.469 (81.311) Epoch: [47][1170/10010] Time 0.336 (0.328) Data 0.000 (0.003) Loss 2.0349 (1.7750) Prec@1 53.125 (59.588) Prec@5 77.344 (81.300) Epoch: [47][1180/10010] Time 0.338 (0.328) Data 0.000 (0.003) Loss 1.4705 (1.7746) Prec@1 67.188 (59.604) Prec@5 87.500 (81.315) Epoch: [47][1190/10010] Time 0.338 (0.328) Data 0.000 (0.003) Loss 1.9380 (1.7745) Prec@1 57.031 (59.614) Prec@5 77.344 (81.310) Epoch: [47][1200/10010] Time 0.321 (0.328) Data 0.001 (0.003) Loss 2.0786 (1.7755) Prec@1 57.031 (59.601) Prec@5 71.875 (81.289) Epoch: [47][1210/10010] Time 0.321 (0.328) Data 0.001 (0.003) Loss 1.9482 (1.7753) Prec@1 56.250 (59.605) Prec@5 81.250 (81.294) Epoch: [47][1220/10010] Time 0.341 (0.328) Data 0.000 (0.003) Loss 1.7864 (1.7742) Prec@1 62.500 (59.643) Prec@5 80.469 (81.317) Epoch: [47][1230/10010] Time 0.322 (0.328) Data 0.001 (0.003) Loss 1.8239 (1.7743) Prec@1 60.156 (59.638) Prec@5 79.688 (81.305) Epoch: [47][1240/10010] Time 0.327 (0.328) Data 0.001 (0.003) Loss 1.4092 (1.7736) Prec@1 64.062 (59.651) Prec@5 85.938 (81.317) Epoch: [47][1250/10010] Time 0.324 (0.328) Data 0.000 (0.003) Loss 1.5072 (1.7730) Prec@1 65.625 (59.658) Prec@5 83.594 (81.327) Epoch: [47][1260/10010] Time 0.316 (0.328) Data 0.001 (0.003) Loss 2.0533 (1.7733) Prec@1 54.688 (59.655) Prec@5 80.469 (81.322) Epoch: [47][1270/10010] Time 0.315 (0.328) Data 0.001 (0.003) Loss 1.6674 (1.7730) Prec@1 58.594 (59.665) Prec@5 78.906 (81.320) Epoch: [47][1280/10010] Time 0.345 (0.328) Data 0.000 (0.003) Loss 1.5177 (1.7723) Prec@1 64.844 (59.682) Prec@5 85.156 (81.322) Epoch: [47][1290/10010] Time 0.331 (0.328) Data 0.000 (0.003) Loss 1.9939 (1.7725) Prec@1 53.125 (59.676) Prec@5 78.906 (81.324) Epoch: [47][1300/10010] Time 0.340 (0.328) Data 0.000 (0.003) Loss 2.0206 (1.7726) Prec@1 56.250 (59.673) Prec@5 78.906 (81.323) Epoch: [47][1310/10010] Time 0.339 (0.328) Data 0.001 (0.003) Loss 1.8768 (1.7722) Prec@1 56.250 (59.683) Prec@5 79.688 (81.325) Epoch: [47][1320/10010] Time 0.321 (0.328) Data 0.000 (0.003) Loss 1.7209 (1.7719) Prec@1 61.719 (59.691) Prec@5 82.031 (81.341) Epoch: [47][1330/10010] Time 0.327 (0.328) Data 0.001 (0.003) Loss 1.4895 (1.7709) Prec@1 67.969 (59.701) Prec@5 84.375 (81.357) Epoch: [47][1340/10010] Time 0.335 (0.328) Data 0.000 (0.002) Loss 1.7129 (1.7718) Prec@1 60.938 (59.679) Prec@5 78.906 (81.336) Epoch: [47][1350/10010] Time 0.338 (0.328) Data 0.000 (0.002) Loss 1.5771 (1.7711) Prec@1 62.500 (59.689) Prec@5 85.938 (81.349) Epoch: [47][1360/10010] Time 0.330 (0.328) Data 0.000 (0.002) Loss 1.5955 (1.7708) Prec@1 60.156 (59.698) Prec@5 85.938 (81.355) Epoch: [47][1370/10010] Time 0.329 (0.328) Data 0.001 (0.002) Loss 1.8174 (1.7707) Prec@1 56.250 (59.692) Prec@5 82.812 (81.363) Epoch: [47][1380/10010] Time 0.333 (0.328) Data 0.001 (0.002) Loss 2.1535 (1.7706) Prec@1 55.469 (59.700) Prec@5 77.344 (81.368) Epoch: [47][1390/10010] Time 0.333 (0.328) Data 0.000 (0.002) Loss 1.6491 (1.7706) Prec@1 63.281 (59.703) Prec@5 82.812 (81.362) Epoch: [47][1400/10010] Time 0.313 (0.328) Data 0.001 (0.002) Loss 1.7336 (1.7704) Prec@1 57.812 (59.710) Prec@5 82.031 (81.365) Epoch: [47][1410/10010] Time 0.323 (0.328) Data 0.001 (0.002) Loss 1.5755 (1.7705) Prec@1 63.281 (59.703) Prec@5 84.375 (81.363) Epoch: [47][1420/10010] Time 0.325 (0.328) Data 0.000 (0.002) Loss 1.6333 (1.7709) Prec@1 63.281 (59.697) Prec@5 84.375 (81.362) Epoch: [47][1430/10010] Time 0.321 (0.328) Data 0.000 (0.002) Loss 1.9669 (1.7710) Prec@1 51.562 (59.688) Prec@5 78.125 (81.362) Epoch: [47][1440/10010] Time 0.340 (0.328) Data 0.000 (0.002) Loss 1.4923 (1.7704) Prec@1 66.406 (59.703) Prec@5 84.375 (81.373) Epoch: [47][1450/10010] Time 0.339 (0.328) Data 0.001 (0.002) Loss 1.7739 (1.7697) Prec@1 60.156 (59.714) Prec@5 78.906 (81.382) Epoch: [47][1460/10010] Time 0.327 (0.328) Data 0.000 (0.002) Loss 1.8347 (1.7694) Prec@1 57.031 (59.723) Prec@5 79.688 (81.385) Epoch: [47][1470/10010] Time 0.321 (0.328) Data 0.000 (0.002) Loss 1.8498 (1.7695) Prec@1 56.250 (59.722) Prec@5 77.344 (81.382) Epoch: [47][1480/10010] Time 0.314 (0.328) Data 0.001 (0.002) Loss 1.6209 (1.7694) Prec@1 64.844 (59.729) Prec@5 82.812 (81.381) Epoch: [47][1490/10010] Time 0.320 (0.328) Data 0.001 (0.002) Loss 1.6436 (1.7696) Prec@1 63.281 (59.719) Prec@5 81.250 (81.382) Epoch: [47][1500/10010] Time 0.323 (0.328) Data 0.001 (0.002) Loss 1.7875 (1.7697) Prec@1 55.469 (59.719) Prec@5 81.250 (81.380) Epoch: [47][1510/10010] Time 0.331 (0.328) Data 0.001 (0.002) Loss 1.7610 (1.7696) Prec@1 58.594 (59.728) Prec@5 82.031 (81.394) Epoch: [47][1520/10010] Time 0.323 (0.328) Data 0.000 (0.002) Loss 2.0131 (1.7699) Prec@1 56.250 (59.727) Prec@5 77.344 (81.390) Epoch: [47][1530/10010] Time 0.311 (0.328) Data 0.001 (0.002) Loss 1.8487 (1.7704) Prec@1 55.469 (59.718) Prec@5 78.125 (81.381) Epoch: [47][1540/10010] Time 0.315 (0.327) Data 0.001 (0.002) Loss 1.3745 (1.7707) Prec@1 67.188 (59.704) Prec@5 87.500 (81.378) Epoch: [47][1550/10010] Time 0.337 (0.327) Data 0.001 (0.002) Loss 1.6303 (1.7703) Prec@1 66.406 (59.710) Prec@5 82.812 (81.380) Epoch: [47][1560/10010] Time 0.339 (0.327) Data 0.000 (0.002) Loss 1.7854 (1.7700) Prec@1 63.281 (59.706) Prec@5 79.688 (81.377) Epoch: [47][1570/10010] Time 0.329 (0.327) Data 0.000 (0.002) Loss 1.7130 (1.7701) Prec@1 57.812 (59.695) Prec@5 80.469 (81.376) Epoch: [47][1580/10010] Time 0.329 (0.327) Data 0.001 (0.002) Loss 1.6093 (1.7706) Prec@1 62.500 (59.696) Prec@5 81.250 (81.356) Epoch: [47][1590/10010] Time 0.321 (0.327) Data 0.000 (0.002) Loss 2.2194 (1.7712) Prec@1 52.344 (59.688) Prec@5 75.781 (81.342) Epoch: [47][1600/10010] Time 0.325 (0.327) Data 0.001 (0.002) Loss 1.5154 (1.7714) Prec@1 66.406 (59.679) Prec@5 85.156 (81.334) Epoch: [47][1610/10010] Time 0.322 (0.327) Data 0.001 (0.002) Loss 1.7841 (1.7713) Prec@1 57.812 (59.675) Prec@5 82.031 (81.333) Epoch: [47][1620/10010] Time 0.334 (0.327) Data 0.001 (0.002) Loss 1.7966 (1.7711) Prec@1 57.031 (59.677) Prec@5 78.125 (81.336) Epoch: [47][1630/10010] Time 0.332 (0.327) Data 0.001 (0.002) Loss 1.9130 (1.7716) Prec@1 54.688 (59.666) Prec@5 78.906 (81.323) Epoch: [47][1640/10010] Time 0.325 (0.327) Data 0.001 (0.002) Loss 1.8703 (1.7720) Prec@1 62.500 (59.659) Prec@5 79.688 (81.316) Epoch: [47][1650/10010] Time 0.334 (0.327) Data 0.001 (0.002) Loss 1.7375 (1.7718) Prec@1 56.250 (59.657) Prec@5 81.250 (81.323) Epoch: [47][1660/10010] Time 0.327 (0.327) Data 0.001 (0.002) Loss 1.9698 (1.7726) Prec@1 54.688 (59.640) Prec@5 78.906 (81.306) Epoch: [47][1670/10010] Time 0.334 (0.327) Data 0.001 (0.002) Loss 1.8307 (1.7729) Prec@1 51.562 (59.632) Prec@5 82.031 (81.302) Epoch: [47][1680/10010] Time 0.342 (0.327) Data 0.000 (0.002) Loss 1.7394 (1.7733) Prec@1 59.375 (59.626) Prec@5 82.812 (81.297) Epoch: [47][1690/10010] Time 0.333 (0.327) Data 0.001 (0.002) Loss 2.1032 (1.7734) Prec@1 50.781 (59.627) Prec@5 78.906 (81.297) Epoch: [47][1700/10010] Time 0.327 (0.327) Data 0.000 (0.002) Loss 1.4848 (1.7732) Prec@1 65.625 (59.634) Prec@5 88.281 (81.301) Epoch: [47][1710/10010] Time 0.310 (0.327) Data 0.001 (0.002) Loss 1.5857 (1.7735) Prec@1 64.062 (59.629) Prec@5 84.375 (81.296) Epoch: [47][1720/10010] Time 0.341 (0.327) Data 0.000 (0.002) Loss 1.8875 (1.7734) Prec@1 53.125 (59.629) Prec@5 80.469 (81.298) Epoch: [47][1730/10010] Time 0.315 (0.327) Data 0.001 (0.002) Loss 1.7879 (1.7735) Prec@1 57.812 (59.633) Prec@5 79.688 (81.297) Epoch: [47][1740/10010] Time 0.315 (0.327) Data 0.001 (0.002) Loss 1.8623 (1.7737) Prec@1 56.250 (59.612) Prec@5 83.594 (81.296) Epoch: [47][1750/10010] Time 0.335 (0.327) Data 0.000 (0.002) Loss 1.5855 (1.7734) Prec@1 63.281 (59.609) Prec@5 81.250 (81.298) Epoch: [47][1760/10010] Time 0.318 (0.327) Data 0.001 (0.002) Loss 1.9751 (1.7736) Prec@1 56.250 (59.594) Prec@5 76.562 (81.293) Epoch: [47][1770/10010] Time 0.329 (0.327) Data 0.001 (0.002) Loss 1.9363 (1.7733) Prec@1 56.250 (59.601) Prec@5 78.906 (81.296) Epoch: [47][1780/10010] Time 0.312 (0.328) Data 0.000 (0.002) Loss 1.8277 (1.7737) Prec@1 59.375 (59.600) Prec@5 85.156 (81.294) Epoch: [47][1790/10010] Time 0.334 (0.328) Data 0.001 (0.002) Loss 1.9208 (1.7736) Prec@1 58.594 (59.603) Prec@5 79.688 (81.293) Epoch: [47][1800/10010] Time 0.331 (0.328) Data 0.000 (0.002) Loss 1.7540 (1.7733) Prec@1 64.062 (59.608) Prec@5 86.719 (81.299) Epoch: [47][1810/10010] Time 0.337 (0.328) Data 0.000 (0.002) Loss 1.8121 (1.7731) Prec@1 53.906 (59.608) Prec@5 81.250 (81.304) Epoch: [47][1820/10010] Time 0.325 (0.328) Data 0.000 (0.002) Loss 1.6574 (1.7727) Prec@1 64.062 (59.618) Prec@5 84.375 (81.315) Epoch: [47][1830/10010] Time 0.315 (0.328) Data 0.001 (0.002) Loss 1.7102 (1.7725) Prec@1 63.281 (59.622) Prec@5 81.250 (81.319) Epoch: [47][1840/10010] Time 0.339 (0.328) Data 0.001 (0.002) Loss 2.1338 (1.7726) Prec@1 57.812 (59.628) Prec@5 76.562 (81.317) Epoch: [47][1850/10010] Time 0.318 (0.328) Data 0.000 (0.002) Loss 1.6368 (1.7727) Prec@1 57.812 (59.613) Prec@5 83.594 (81.311) Epoch: [47][1860/10010] Time 0.334 (0.327) Data 0.000 (0.002) Loss 1.9554 (1.7730) Prec@1 56.250 (59.612) Prec@5 78.906 (81.308) Epoch: [47][1870/10010] Time 0.313 (0.327) Data 0.001 (0.002) Loss 1.7806 (1.7728) Prec@1 56.250 (59.615) Prec@5 83.594 (81.309) Epoch: [47][1880/10010] Time 0.318 (0.327) Data 0.001 (0.002) Loss 2.0136 (1.7728) Prec@1 53.125 (59.620) Prec@5 78.125 (81.302) Epoch: [47][1890/10010] Time 0.315 (0.327) Data 0.001 (0.002) Loss 1.6343 (1.7729) Prec@1 63.281 (59.620) Prec@5 85.156 (81.299) Epoch: [47][1900/10010] Time 0.342 (0.327) Data 0.001 (0.002) Loss 1.8039 (1.7732) Prec@1 57.031 (59.614) Prec@5 82.031 (81.291) Epoch: [47][1910/10010] Time 0.319 (0.327) Data 0.001 (0.002) Loss 1.8958 (1.7734) Prec@1 58.594 (59.617) Prec@5 79.688 (81.287) Epoch: [47][1920/10010] Time 0.326 (0.327) Data 0.001 (0.002) Loss 1.7941 (1.7731) Prec@1 59.375 (59.621) Prec@5 82.812 (81.289) Epoch: [47][1930/10010] Time 0.319 (0.327) Data 0.002 (0.002) Loss 1.5215 (1.7731) Prec@1 64.062 (59.621) Prec@5 83.594 (81.288) Epoch: [47][1940/10010] Time 0.322 (0.327) Data 0.001 (0.002) Loss 1.8973 (1.7734) Prec@1 59.375 (59.615) Prec@5 76.562 (81.282) Epoch: [47][1950/10010] Time 0.321 (0.327) Data 0.000 (0.002) Loss 1.6010 (1.7732) Prec@1 60.938 (59.612) Prec@5 80.469 (81.289) Epoch: [47][1960/10010] Time 0.319 (0.327) Data 0.001 (0.002) Loss 1.4807 (1.7724) Prec@1 67.188 (59.630) Prec@5 81.250 (81.295) Epoch: [47][1970/10010] Time 0.322 (0.327) Data 0.001 (0.002) Loss 2.0498 (1.7720) Prec@1 53.906 (59.637) Prec@5 78.906 (81.307) Epoch: [47][1980/10010] Time 0.338 (0.327) Data 0.000 (0.002) Loss 1.9557 (1.7720) Prec@1 57.812 (59.642) Prec@5 78.906 (81.307) Epoch: [47][1990/10010] Time 0.318 (0.327) Data 0.000 (0.002) Loss 1.9329 (1.7722) Prec@1 57.812 (59.645) Prec@5 76.562 (81.301) Epoch: [47][2000/10010] Time 0.323 (0.327) Data 0.000 (0.002) Loss 1.7208 (1.7721) Prec@1 57.812 (59.646) Prec@5 82.031 (81.310) Epoch: [47][2010/10010] Time 0.336 (0.327) Data 0.001 (0.002) Loss 1.6305 (1.7724) Prec@1 59.375 (59.642) Prec@5 84.375 (81.301) Epoch: [47][2020/10010] Time 0.321 (0.327) Data 0.001 (0.002) Loss 1.5804 (1.7728) Prec@1 67.969 (59.638) Prec@5 85.156 (81.298) Epoch: [47][2030/10010] Time 0.319 (0.327) Data 0.001 (0.002) Loss 1.5895 (1.7728) Prec@1 61.719 (59.631) Prec@5 84.375 (81.299) Epoch: [47][2040/10010] Time 0.337 (0.327) Data 0.001 (0.002) Loss 1.8493 (1.7731) Prec@1 57.031 (59.623) Prec@5 79.688 (81.289) Epoch: [47][2050/10010] Time 0.324 (0.327) Data 0.001 (0.002) Loss 1.6534 (1.7728) Prec@1 57.031 (59.626) Prec@5 82.812 (81.292) Epoch: [47][2060/10010] Time 0.341 (0.327) Data 0.000 (0.002) Loss 1.6690 (1.7724) Prec@1 61.719 (59.635) Prec@5 82.031 (81.297) Epoch: [47][2070/10010] Time 0.330 (0.327) Data 0.001 (0.002) Loss 1.9789 (1.7725) Prec@1 57.031 (59.624) Prec@5 77.344 (81.293) Epoch: [47][2080/10010] Time 0.318 (0.327) Data 0.001 (0.002) Loss 1.7429 (1.7724) Prec@1 55.469 (59.620) Prec@5 82.812 (81.297) Epoch: [47][2090/10010] Time 0.332 (0.327) Data 0.001 (0.002) Loss 1.6027 (1.7725) Prec@1 61.719 (59.614) Prec@5 82.812 (81.294) Epoch: [47][2100/10010] Time 0.316 (0.327) Data 0.000 (0.002) Loss 1.6775 (1.7725) Prec@1 61.719 (59.605) Prec@5 77.344 (81.292) Epoch: [47][2110/10010] Time 0.340 (0.327) Data 0.000 (0.002) Loss 1.7107 (1.7730) Prec@1 60.938 (59.592) Prec@5 82.812 (81.285) Epoch: [47][2120/10010] Time 0.323 (0.327) Data 0.000 (0.002) Loss 1.7068 (1.7730) Prec@1 56.250 (59.595) Prec@5 85.156 (81.283) Epoch: [47][2130/10010] Time 0.326 (0.327) Data 0.001 (0.002) Loss 2.0689 (1.7729) Prec@1 51.562 (59.592) Prec@5 78.125 (81.279) Epoch: [47][2140/10010] Time 0.325 (0.327) Data 0.000 (0.002) Loss 1.7015 (1.7732) Prec@1 60.938 (59.582) Prec@5 81.250 (81.277) Epoch: [47][2150/10010] Time 0.331 (0.327) Data 0.001 (0.002) Loss 1.7359 (1.7735) Prec@1 58.594 (59.577) Prec@5 78.125 (81.268) Epoch: [47][2160/10010] Time 0.318 (0.327) Data 0.000 (0.002) Loss 2.1640 (1.7734) Prec@1 55.469 (59.584) Prec@5 75.781 (81.270) Epoch: [47][2170/10010] Time 0.338 (0.327) Data 0.000 (0.002) Loss 1.4738 (1.7734) Prec@1 64.844 (59.586) Prec@5 88.281 (81.273) Epoch: [47][2180/10010] Time 0.320 (0.327) Data 0.000 (0.002) Loss 1.7842 (1.7734) Prec@1 62.500 (59.583) Prec@5 77.344 (81.274) Epoch: [47][2190/10010] Time 0.323 (0.327) Data 0.000 (0.002) Loss 1.9163 (1.7732) Prec@1 53.906 (59.584) Prec@5 78.906 (81.275) Epoch: [47][2200/10010] Time 0.320 (0.327) Data 0.001 (0.002) Loss 1.6123 (1.7732) Prec@1 64.062 (59.589) Prec@5 82.812 (81.274) Epoch: [47][2210/10010] Time 0.331 (0.327) Data 0.001 (0.002) Loss 1.8903 (1.7729) Prec@1 56.250 (59.592) Prec@5 79.688 (81.277) Epoch: [47][2220/10010] Time 0.317 (0.327) Data 0.001 (0.002) Loss 1.8354 (1.7728) Prec@1 54.688 (59.592) Prec@5 83.594 (81.281) Epoch: [47][2230/10010] Time 0.319 (0.327) Data 0.001 (0.002) Loss 1.8008 (1.7732) Prec@1 63.281 (59.588) Prec@5 82.031 (81.270) Epoch: [47][2240/10010] Time 0.321 (0.327) Data 0.001 (0.002) Loss 1.3492 (1.7732) Prec@1 69.531 (59.588) Prec@5 87.500 (81.273) Epoch: [47][2250/10010] Time 0.329 (0.327) Data 0.001 (0.002) Loss 1.6485 (1.7733) Prec@1 64.062 (59.582) Prec@5 83.594 (81.277) Epoch: [47][2260/10010] Time 0.341 (0.327) Data 0.000 (0.002) Loss 1.4843 (1.7738) Prec@1 63.281 (59.574) Prec@5 86.719 (81.271) Epoch: [47][2270/10010] Time 0.313 (0.327) Data 0.001 (0.002) Loss 1.7414 (1.7736) Prec@1 60.938 (59.584) Prec@5 79.688 (81.271) Epoch: [47][2280/10010] Time 0.321 (0.327) Data 0.000 (0.002) Loss 1.8765 (1.7743) Prec@1 57.812 (59.572) Prec@5 79.688 (81.262) Epoch: [47][2290/10010] Time 0.318 (0.327) Data 0.001 (0.002) Loss 2.0407 (1.7744) Prec@1 61.719 (59.577) Prec@5 75.000 (81.258) Epoch: [47][2300/10010] Time 0.331 (0.327) Data 0.001 (0.002) Loss 1.7480 (1.7741) Prec@1 57.812 (59.583) Prec@5 79.688 (81.256) Epoch: [47][2310/10010] Time 0.312 (0.327) Data 0.001 (0.002) Loss 1.6463 (1.7742) Prec@1 62.500 (59.586) Prec@5 85.938 (81.254) /data/vision/torralba/deepscene/lib/anaconda2/lib/python2.7/site-packages/PIL/TiffImagePlugin.py:692: UserWarning: Possibly corrupt EXIF data. Expecting to read 2555904 bytes but only got 0. Skipping tag 0 "Skipping tag %s" % (size, len(data), tag)) Epoch: [47][2320/10010] Time 0.340 (0.327) Data 0.001 (0.002) Loss 1.8622 (1.7741) Prec@1 60.156 (59.594) Prec@5 81.250 (81.258) Epoch: [47][2330/10010] Time 0.326 (0.327) Data 0.000 (0.002) Loss 1.6588 (1.7739) Prec@1 60.938 (59.590) Prec@5 85.938 (81.263) Epoch: [47][2340/10010] Time 0.343 (0.327) Data 0.000 (0.002) Loss 1.6913 (1.7739) Prec@1 60.938 (59.595) Prec@5 83.594 (81.264) Epoch: [47][2350/10010] Time 0.331 (0.327) Data 0.001 (0.002) Loss 2.0774 (1.7740) Prec@1 47.656 (59.589) Prec@5 78.125 (81.262) Epoch: [47][2360/10010] Time 0.328 (0.327) Data 0.000 (0.002) Loss 1.6712 (1.7743) Prec@1 62.500 (59.583) Prec@5 81.250 (81.258) Epoch: [47][2370/10010] Time 0.332 (0.327) Data 0.001 (0.002) Loss 1.5877 (1.7744) Prec@1 60.156 (59.582) Prec@5 85.156 (81.260) Epoch: [47][2380/10010] Time 0.332 (0.327) Data 0.001 (0.002) Loss 1.6869 (1.7747) Prec@1 60.156 (59.582) Prec@5 79.688 (81.255) Epoch: [47][2390/10010] Time 0.310 (0.327) Data 0.001 (0.002) Loss 1.8527 (1.7747) Prec@1 57.812 (59.580) Prec@5 79.688 (81.255) Epoch: [47][2400/10010] Time 0.318 (0.327) Data 0.001 (0.002) Loss 1.7097 (1.7746) Prec@1 61.719 (59.581) Prec@5 82.812 (81.250) Epoch: [47][2410/10010] Time 0.331 (0.327) Data 0.000 (0.002) Loss 1.7193 (1.7747) Prec@1 60.938 (59.583) Prec@5 83.594 (81.247) Epoch: [47][2420/10010] Time 0.314 (0.327) Data 0.000 (0.002) Loss 1.7020 (1.7746) Prec@1 59.375 (59.588) Prec@5 82.812 (81.252) Epoch: [47][2430/10010] Time 0.333 (0.327) Data 0.001 (0.002) Loss 1.7770 (1.7748) Prec@1 60.156 (59.580) Prec@5 82.031 (81.246) Epoch: [47][2440/10010] Time 0.322 (0.327) Data 0.001 (0.002) Loss 1.7603 (1.7748) Prec@1 55.469 (59.573) Prec@5 82.031 (81.248) Epoch: [47][2450/10010] Time 0.320 (0.327) Data 0.000 (0.002) Loss 1.5255 (1.7744) Prec@1 64.844 (59.578) Prec@5 87.500 (81.257) Epoch: [47][2460/10010] Time 0.321 (0.327) Data 0.001 (0.002) Loss 1.8752 (1.7745) Prec@1 60.156 (59.579) Prec@5 82.031 (81.257) /data/vision/torralba/deepscene/lib/anaconda2/lib/python2.7/site-packages/PIL/TiffImagePlugin.py:692: UserWarning: Possibly corrupt EXIF data. Expecting to read 2555904 bytes but only got 0. Skipping tag 0 "Skipping tag %s" % (size, len(data), tag)) Epoch: [47][2470/10010] Time 0.318 (0.327) Data 0.000 (0.002) Loss 1.7188 (1.7745) Prec@1 62.500 (59.573) Prec@5 83.594 (81.257) Epoch: [47][2480/10010] Time 0.317 (0.327) Data 0.001 (0.002) Loss 1.4606 (1.7746) Prec@1 64.062 (59.573) Prec@5 84.375 (81.257) Epoch: [47][2490/10010] Time 0.318 (0.327) Data 0.001 (0.002) Loss 1.7132 (1.7746) Prec@1 58.594 (59.567) Prec@5 84.375 (81.260) Epoch: [47][2500/10010] Time 0.333 (0.327) Data 0.001 (0.002) Loss 1.8766 (1.7745) Prec@1 60.938 (59.570) Prec@5 82.031 (81.262) Epoch: [47][2510/10010] Time 0.337 (0.327) Data 0.000 (0.002) Loss 1.9586 (1.7741) Prec@1 57.812 (59.574) Prec@5 75.781 (81.265) Epoch: [47][2520/10010] Time 0.319 (0.327) Data 0.001 (0.002) Loss 1.4150 (1.7742) Prec@1 67.969 (59.571) Prec@5 86.719 (81.265) Epoch: [47][2530/10010] Time 0.328 (0.327) Data 0.000 (0.002) Loss 1.6645 (1.7736) Prec@1 58.594 (59.583) Prec@5 83.594 (81.272) Epoch: [47][2540/10010] Time 0.334 (0.327) Data 0.000 (0.002) Loss 1.5455 (1.7733) Prec@1 67.969 (59.585) Prec@5 83.594 (81.278) Epoch: [47][2550/10010] Time 0.316 (0.327) Data 0.000 (0.002) Loss 1.6234 (1.7727) Prec@1 60.938 (59.596) Prec@5 85.938 (81.293) Epoch: [47][2560/10010] Time 0.320 (0.327) Data 0.000 (0.002) Loss 1.7097 (1.7728) Prec@1 60.938 (59.596) Prec@5 82.031 (81.288) Epoch: [47][2570/10010] Time 0.320 (0.327) Data 0.001 (0.002) Loss 1.6063 (1.7719) Prec@1 64.062 (59.614) Prec@5 83.594 (81.302) Epoch: [47][2580/10010] Time 0.340 (0.327) Data 0.000 (0.002) Loss 1.9655 (1.7722) Prec@1 58.594 (59.608) Prec@5 75.781 (81.297) Epoch: [47][2590/10010] Time 0.336 (0.327) Data 0.000 (0.002) Loss 1.6710 (1.7724) Prec@1 59.375 (59.604) Prec@5 85.938 (81.298) Epoch: [47][2600/10010] Time 0.314 (0.327) Data 0.000 (0.002) Loss 1.6383 (1.7725) Prec@1 60.156 (59.604) Prec@5 82.812 (81.304) Epoch: [47][2610/10010] Time 0.333 (0.327) Data 0.000 (0.002) Loss 2.2083 (1.7726) Prec@1 50.000 (59.602) Prec@5 76.562 (81.302) Epoch: [47][2620/10010] Time 0.316 (0.327) Data 0.001 (0.002) Loss 2.0042 (1.7728) Prec@1 62.500 (59.599) Prec@5 75.781 (81.296) Epoch: [47][2630/10010] Time 0.340 (0.327) Data 0.000 (0.002) Loss 1.7616 (1.7727) Prec@1 64.844 (59.602) Prec@5 82.031 (81.300) Epoch: [47][2640/10010] Time 0.325 (0.327) Data 0.000 (0.002) Loss 1.8057 (1.7728) Prec@1 59.375 (59.597) Prec@5 82.031 (81.299) Epoch: [47][2650/10010] Time 0.319 (0.327) Data 0.001 (0.002) Loss 1.5966 (1.7728) Prec@1 61.719 (59.595) Prec@5 85.156 (81.297) Epoch: [47][2660/10010] Time 0.333 (0.327) Data 0.000 (0.002) Loss 1.8636 (1.7731) Prec@1 60.156 (59.594) Prec@5 78.125 (81.293) Epoch: [47][2670/10010] Time 0.324 (0.327) Data 0.000 (0.002) Loss 1.4981 (1.7730) Prec@1 65.625 (59.592) Prec@5 87.500 (81.297) Epoch: [47][2680/10010] Time 0.319 (0.327) Data 0.001 (0.002) Loss 1.9557 (1.7730) Prec@1 54.688 (59.592) Prec@5 80.469 (81.294) Epoch: [47][2690/10010] Time 0.335 (0.327) Data 0.001 (0.002) Loss 1.6358 (1.7729) Prec@1 57.812 (59.591) Prec@5 85.156 (81.301) Epoch: [47][2700/10010] Time 0.322 (0.327) Data 0.000 (0.002) Loss 1.6239 (1.7727) Prec@1 66.406 (59.591) Prec@5 82.812 (81.300) Epoch: [47][2710/10010] Time 0.330 (0.327) Data 0.000 (0.002) Loss 1.5406 (1.7730) Prec@1 65.625 (59.585) Prec@5 85.156 (81.295) Epoch: [47][2720/10010] Time 0.327 (0.327) Data 0.001 (0.002) Loss 2.1276 (1.7730) Prec@1 57.812 (59.585) Prec@5 77.344 (81.297) Epoch: [47][2730/10010] Time 0.318 (0.327) Data 0.001 (0.002) Loss 1.6545 (1.7731) Prec@1 59.375 (59.585) Prec@5 82.812 (81.298) Epoch: [47][2740/10010] Time 0.319 (0.327) Data 0.000 (0.002) Loss 1.6870 (1.7733) Prec@1 62.500 (59.584) Prec@5 83.594 (81.295) Epoch: [47][2750/10010] Time 0.331 (0.327) Data 0.001 (0.002) Loss 1.6005 (1.7731) Prec@1 60.938 (59.587) Prec@5 86.719 (81.297) Epoch: [47][2760/10010] Time 0.342 (0.327) Data 0.001 (0.002) Loss 1.5282 (1.7731) Prec@1 64.844 (59.587) Prec@5 83.594 (81.301) Epoch: [47][2770/10010] Time 0.338 (0.327) Data 0.000 (0.002) Loss 1.5464 (1.7726) Prec@1 64.062 (59.597) Prec@5 85.156 (81.310) Epoch: [47][2780/10010] Time 0.341 (0.327) Data 0.001 (0.002) Loss 2.1221 (1.7728) Prec@1 56.250 (59.598) Prec@5 75.000 (81.306) Epoch: [47][2790/10010] Time 0.336 (0.327) Data 0.000 (0.002) Loss 1.7997 (1.7732) Prec@1 57.812 (59.594) Prec@5 81.250 (81.298) Epoch: [47][2800/10010] Time 0.332 (0.327) Data 0.001 (0.002) Loss 1.5268 (1.7732) Prec@1 67.188 (59.595) Prec@5 83.594 (81.300) Epoch: [47][2810/10010] Time 0.317 (0.327) Data 0.000 (0.002) Loss 1.7125 (1.7731) Prec@1 62.500 (59.598) Prec@5 81.250 (81.299) Epoch: [47][2820/10010] Time 0.336 (0.327) Data 0.001 (0.002) Loss 2.0197 (1.7731) Prec@1 56.250 (59.600) Prec@5 76.562 (81.298) Epoch: [47][2830/10010] Time 0.311 (0.327) Data 0.000 (0.002) Loss 2.0259 (1.7734) Prec@1 47.656 (59.593) Prec@5 79.688 (81.295) Epoch: [47][2840/10010] Time 0.335 (0.327) Data 0.000 (0.002) Loss 1.8192 (1.7733) Prec@1 53.906 (59.593) Prec@5 82.812 (81.302) Epoch: [47][2850/10010] Time 0.315 (0.327) Data 0.001 (0.002) Loss 1.6595 (1.7733) Prec@1 62.500 (59.596) Prec@5 81.250 (81.303) Epoch: [47][2860/10010] Time 0.324 (0.327) Data 0.001 (0.001) Loss 1.6819 (1.7732) Prec@1 56.250 (59.592) Prec@5 84.375 (81.308) Epoch: [47][2870/10010] Time 0.331 (0.327) Data 0.001 (0.001) Loss 1.6541 (1.7733) Prec@1 59.375 (59.585) Prec@5 85.156 (81.307) Epoch: [47][2880/10010] Time 0.325 (0.327) Data 0.001 (0.001) Loss 2.0304 (1.7736) Prec@1 52.344 (59.577) Prec@5 77.344 (81.302) Epoch: [47][2890/10010] Time 0.319 (0.327) Data 0.001 (0.001) Loss 1.6121 (1.7732) Prec@1 62.500 (59.583) Prec@5 80.469 (81.305) Epoch: [47][2900/10010] Time 0.327 (0.327) Data 0.001 (0.001) Loss 1.7754 (1.7729) Prec@1 64.062 (59.589) Prec@5 78.906 (81.309) Epoch: [47][2910/10010] Time 0.318 (0.327) Data 0.001 (0.001) Loss 1.6776 (1.7730) Prec@1 65.625 (59.591) Prec@5 85.156 (81.313) Epoch: [47][2920/10010] Time 0.321 (0.327) Data 0.001 (0.001) Loss 1.8158 (1.7729) Prec@1 54.688 (59.589) Prec@5 77.344 (81.312) Epoch: [47][2930/10010] Time 0.328 (0.327) Data 0.000 (0.001) Loss 1.9134 (1.7727) Prec@1 56.250 (59.594) Prec@5 78.906 (81.310) Epoch: [47][2940/10010] Time 0.330 (0.327) Data 0.001 (0.001) Loss 1.9391 (1.7732) Prec@1 57.031 (59.587) Prec@5 81.250 (81.304) Epoch: [47][2950/10010] Time 0.317 (0.327) Data 0.000 (0.001) Loss 1.9320 (1.7733) Prec@1 54.688 (59.584) Prec@5 75.781 (81.303) Epoch: [47][2960/10010] Time 0.325 (0.327) Data 0.000 (0.001) Loss 1.8333 (1.7734) Prec@1 56.250 (59.578) Prec@5 82.812 (81.301) Epoch: [47][2970/10010] Time 0.328 (0.327) Data 0.000 (0.001) Loss 1.9922 (1.7740) Prec@1 51.562 (59.569) Prec@5 78.906 (81.293) Epoch: [47][2980/10010] Time 0.336 (0.327) Data 0.001 (0.001) Loss 1.6845 (1.7740) Prec@1 59.375 (59.568) Prec@5 82.812 (81.297) Epoch: [47][2990/10010] Time 0.320 (0.327) Data 0.000 (0.001) Loss 1.6822 (1.7741) Prec@1 62.500 (59.568) Prec@5 79.688 (81.293) Epoch: [47][3000/10010] Time 0.335 (0.327) Data 0.001 (0.001) Loss 1.7411 (1.7741) Prec@1 59.375 (59.570) Prec@5 82.031 (81.291) Epoch: [47][3010/10010] Time 0.322 (0.327) Data 0.001 (0.001) Loss 1.7337 (1.7741) Prec@1 60.156 (59.568) Prec@5 77.344 (81.290) Epoch: [47][3020/10010] Time 0.335 (0.327) Data 0.001 (0.001) Loss 1.9184 (1.7742) Prec@1 58.594 (59.566) Prec@5 79.688 (81.290) Epoch: [47][3030/10010] Time 0.316 (0.327) Data 0.001 (0.001) Loss 2.0431 (1.7745) Prec@1 55.469 (59.557) Prec@5 77.344 (81.286) Epoch: [47][3040/10010] Time 0.326 (0.327) Data 0.000 (0.001) Loss 1.7587 (1.7745) Prec@1 62.500 (59.559) Prec@5 82.812 (81.289) Epoch: [47][3050/10010] Time 0.315 (0.327) Data 0.001 (0.001) Loss 1.5573 (1.7743) Prec@1 61.719 (59.558) Prec@5 84.375 (81.293) Epoch: [47][3060/10010] Time 0.324 (0.327) Data 0.000 (0.001) Loss 1.6808 (1.7742) Prec@1 64.844 (59.556) Prec@5 82.812 (81.292) Epoch: [47][3070/10010] Time 0.339 (0.327) Data 0.001 (0.001) Loss 1.9853 (1.7746) Prec@1 53.125 (59.547) Prec@5 77.344 (81.290) Epoch: [47][3080/10010] Time 0.321 (0.327) Data 0.000 (0.001) Loss 1.6687 (1.7749) Prec@1 60.938 (59.542) Prec@5 84.375 (81.285) Epoch: [47][3090/10010] Time 0.339 (0.327) Data 0.001 (0.001) Loss 1.9395 (1.7749) Prec@1 57.031 (59.547) Prec@5 80.469 (81.287) Epoch: [47][3100/10010] Time 0.341 (0.327) Data 0.001 (0.001) Loss 1.7579 (1.7751) Prec@1 59.375 (59.548) Prec@5 82.812 (81.286) Epoch: [47][3110/10010] Time 0.322 (0.327) Data 0.001 (0.001) Loss 1.4911 (1.7752) Prec@1 68.750 (59.546) Prec@5 85.938 (81.285) Epoch: [47][3120/10010] Time 0.318 (0.327) Data 0.000 (0.001) Loss 1.5844 (1.7751) Prec@1 64.062 (59.546) Prec@5 83.594 (81.285) Epoch: [47][3130/10010] Time 0.318 (0.327) Data 0.001 (0.001) Loss 1.5896 (1.7752) Prec@1 60.938 (59.547) Prec@5 82.812 (81.280) Epoch: [47][3140/10010] Time 0.330 (0.327) Data 0.001 (0.001) Loss 1.7824 (1.7749) Prec@1 59.375 (59.556) Prec@5 80.469 (81.281) Epoch: [47][3150/10010] Time 0.328 (0.327) Data 0.001 (0.001) Loss 1.7433 (1.7750) Prec@1 54.688 (59.555) Prec@5 83.594 (81.282) Epoch: [47][3160/10010] Time 0.323 (0.327) Data 0.000 (0.001) Loss 1.9866 (1.7749) Prec@1 57.812 (59.554) Prec@5 81.250 (81.285) Epoch: [47][3170/10010] Time 0.332 (0.327) Data 0.000 (0.001) Loss 1.8393 (1.7749) Prec@1 56.250 (59.553) Prec@5 81.250 (81.284) Epoch: [47][3180/10010] Time 0.329 (0.327) Data 0.001 (0.001) Loss 1.6162 (1.7749) Prec@1 64.062 (59.554) Prec@5 84.375 (81.285) Epoch: [47][3190/10010] Time 0.323 (0.327) Data 0.001 (0.001) Loss 1.6714 (1.7749) Prec@1 60.156 (59.553) Prec@5 82.031 (81.287) Epoch: [47][3200/10010] Time 0.320 (0.327) Data 0.001 (0.001) Loss 1.6216 (1.7749) Prec@1 62.500 (59.551) Prec@5 89.062 (81.289) Epoch: [47][3210/10010] Time 0.322 (0.327) Data 0.001 (0.001) Loss 1.4187 (1.7751) Prec@1 64.062 (59.547) Prec@5 86.719 (81.287) Epoch: [47][3220/10010] Time 0.334 (0.327) Data 0.000 (0.001) Loss 1.6169 (1.7752) Prec@1 64.844 (59.543) Prec@5 82.031 (81.286) Epoch: [47][3230/10010] Time 0.321 (0.327) Data 0.001 (0.001) Loss 1.6994 (1.7752) Prec@1 61.719 (59.544) Prec@5 82.812 (81.285) Epoch: [47][3240/10010] Time 0.326 (0.327) Data 0.000 (0.001) Loss 1.6256 (1.7750) Prec@1 59.375 (59.543) Prec@5 81.250 (81.285) Epoch: [47][3250/10010] Time 0.342 (0.327) Data 0.000 (0.001) Loss 2.0177 (1.7752) Prec@1 53.125 (59.543) Prec@5 78.906 (81.284) Epoch: [47][3260/10010] Time 0.318 (0.327) Data 0.000 (0.001) Loss 1.6752 (1.7751) Prec@1 63.281 (59.543) Prec@5 86.719 (81.288) Epoch: [47][3270/10010] Time 0.319 (0.327) Data 0.000 (0.001) Loss 1.8648 (1.7756) Prec@1 53.125 (59.533) Prec@5 83.594 (81.284) Epoch: [47][3280/10010] Time 0.332 (0.327) Data 0.001 (0.001) Loss 1.8237 (1.7755) Prec@1 58.594 (59.532) Prec@5 80.469 (81.283) Epoch: [47][3290/10010] Time 0.333 (0.327) Data 0.001 (0.001) Loss 1.7495 (1.7757) Prec@1 60.156 (59.533) Prec@5 85.156 (81.281) Epoch: [47][3300/10010] Time 0.325 (0.327) Data 0.000 (0.001) Loss 1.7553 (1.7757) Prec@1 61.719 (59.532) Prec@5 84.375 (81.281) Epoch: [47][3310/10010] Time 0.335 (0.327) Data 0.001 (0.001) Loss 1.4345 (1.7755) Prec@1 68.750 (59.533) Prec@5 85.156 (81.287) Epoch: [47][3320/10010] Time 0.335 (0.327) Data 0.000 (0.001) Loss 2.2388 (1.7756) Prec@1 48.438 (59.526) Prec@5 73.438 (81.285) Epoch: [47][3330/10010] Time 0.325 (0.327) Data 0.001 (0.001) Loss 1.6826 (1.7758) Prec@1 60.156 (59.522) Prec@5 79.688 (81.281) Epoch: [47][3340/10010] Time 0.333 (0.327) Data 0.001 (0.001) Loss 1.6622 (1.7756) Prec@1 59.375 (59.521) Prec@5 82.031 (81.283) Epoch: [47][3350/10010] Time 0.319 (0.327) Data 0.001 (0.001) Loss 1.6635 (1.7758) Prec@1 60.156 (59.514) Prec@5 85.938 (81.282) Epoch: [47][3360/10010] Time 0.318 (0.327) Data 0.001 (0.001) Loss 1.8526 (1.7758) Prec@1 56.250 (59.511) Prec@5 82.812 (81.281) Epoch: [47][3370/10010] Time 0.325 (0.327) Data 0.001 (0.001) Loss 1.4472 (1.7757) Prec@1 64.062 (59.511) Prec@5 84.375 (81.282) Epoch: [47][3380/10010] Time 0.340 (0.327) Data 0.000 (0.001) Loss 2.0299 (1.7761) Prec@1 56.250 (59.505) Prec@5 76.562 (81.274) Epoch: [47][3390/10010] Time 0.337 (0.327) Data 0.001 (0.001) Loss 1.8020 (1.7763) Prec@1 60.938 (59.501) Prec@5 80.469 (81.266) Epoch: [47][3400/10010] Time 0.323 (0.327) Data 0.001 (0.001) Loss 1.5758 (1.7763) Prec@1 63.281 (59.501) Prec@5 82.031 (81.264) Epoch: [47][3410/10010] Time 0.320 (0.327) Data 0.000 (0.001) Loss 1.8579 (1.7763) Prec@1 54.688 (59.496) Prec@5 82.812 (81.266) Epoch: [47][3420/10010] Time 0.342 (0.327) Data 0.000 (0.001) Loss 1.6666 (1.7764) Prec@1 60.938 (59.494) Prec@5 85.156 (81.267) Epoch: [47][3430/10010] Time 0.319 (0.327) Data 0.000 (0.001) Loss 2.2093 (1.7763) Prec@1 54.688 (59.499) Prec@5 78.125 (81.271) Epoch: [47][3440/10010] Time 0.331 (0.327) Data 0.001 (0.001) Loss 2.0971 (1.7763) Prec@1 54.688 (59.497) Prec@5 76.562 (81.272) Epoch: [47][3450/10010] Time 0.312 (0.327) Data 0.001 (0.001) Loss 1.7383 (1.7764) Prec@1 63.281 (59.495) Prec@5 80.469 (81.272) Epoch: [47][3460/10010] Time 0.323 (0.327) Data 0.001 (0.001) Loss 1.9418 (1.7764) Prec@1 58.594 (59.494) Prec@5 76.562 (81.269) Epoch: [47][3470/10010] Time 0.338 (0.327) Data 0.001 (0.001) Loss 1.6648 (1.7766) Prec@1 59.375 (59.493) Prec@5 85.938 (81.266) /data/vision/torralba/deepscene/lib/anaconda2/lib/python2.7/site-packages/PIL/TiffImagePlugin.py:692: UserWarning: Possibly corrupt EXIF data. Expecting to read 2555904 bytes but only got 0. Skipping tag 0 "Skipping tag %s" % (size, len(data), tag)) Epoch: [47][3480/10010] Time 0.326 (0.327) Data 0.001 (0.001) Loss 1.6620 (1.7764) Prec@1 62.500 (59.499) Prec@5 82.812 (81.269) Epoch: [47][3490/10010] Time 0.323 (0.327) Data 0.001 (0.001) Loss 1.8263 (1.7765) Prec@1 60.156 (59.495) Prec@5 82.031 (81.265) Epoch: [47][3500/10010] Time 0.321 (0.327) Data 0.001 (0.001) Loss 1.7817 (1.7765) Prec@1 60.938 (59.493) Prec@5 80.469 (81.265) Epoch: [47][3510/10010] Time 0.337 (0.327) Data 0.000 (0.001) Loss 1.9311 (1.7766) Prec@1 57.031 (59.493) Prec@5 78.906 (81.262) Epoch: [47][3520/10010] Time 0.329 (0.327) Data 0.001 (0.001) Loss 2.0325 (1.7766) Prec@1 55.469 (59.495) Prec@5 80.469 (81.259) Epoch: [47][3530/10010] Time 0.317 (0.327) Data 0.001 (0.001) Loss 1.7642 (1.7768) Prec@1 57.031 (59.492) Prec@5 80.469 (81.260) Epoch: [47][3540/10010] Time 0.322 (0.327) Data 0.001 (0.001) Loss 1.7509 (1.7767) Prec@1 63.281 (59.492) Prec@5 84.375 (81.262) Epoch: [47][3550/10010] Time 0.319 (0.327) Data 0.001 (0.001) Loss 1.6799 (1.7770) Prec@1 57.031 (59.484) Prec@5 82.031 (81.259) Epoch: [47][3560/10010] Time 0.314 (0.327) Data 0.001 (0.001) Loss 1.6508 (1.7771) Prec@1 61.719 (59.480) Prec@5 84.375 (81.257) Epoch: [47][3570/10010] Time 0.309 (0.327) Data 0.001 (0.001) Loss 1.8250 (1.7770) Prec@1 57.031 (59.482) Prec@5 79.688 (81.259) Epoch: [47][3580/10010] Time 0.337 (0.327) Data 0.000 (0.001) Loss 1.8903 (1.7770) Prec@1 59.375 (59.481) Prec@5 82.031 (81.259) Epoch: [47][3590/10010] Time 0.323 (0.327) Data 0.001 (0.001) Loss 1.7748 (1.7772) Prec@1 64.844 (59.477) Prec@5 82.031 (81.257) Epoch: [47][3600/10010] Time 0.339 (0.327) Data 0.001 (0.001) Loss 1.8655 (1.7772) Prec@1 59.375 (59.475) Prec@5 82.031 (81.255) Epoch: [47][3610/10010] Time 0.342 (0.327) Data 0.000 (0.001) Loss 2.0937 (1.7771) Prec@1 53.906 (59.477) Prec@5 73.438 (81.258) Epoch: [47][3620/10010] Time 0.321 (0.327) Data 0.000 (0.001) Loss 1.9907 (1.7771) Prec@1 56.250 (59.480) Prec@5 80.469 (81.259) Epoch: [47][3630/10010] Time 0.334 (0.327) Data 0.000 (0.001) Loss 1.8520 (1.7770) Prec@1 57.812 (59.486) Prec@5 83.594 (81.261) Epoch: [47][3640/10010] Time 0.335 (0.327) Data 0.001 (0.001) Loss 1.7572 (1.7769) Prec@1 60.938 (59.486) Prec@5 78.125 (81.258) Epoch: [47][3650/10010] Time 0.339 (0.327) Data 0.000 (0.001) Loss 1.8360 (1.7772) Prec@1 57.812 (59.483) Prec@5 80.469 (81.254) Epoch: [47][3660/10010] Time 0.318 (0.327) Data 0.001 (0.001) Loss 1.7506 (1.7775) Prec@1 56.250 (59.475) Prec@5 81.250 (81.252) Epoch: [47][3670/10010] Time 0.335 (0.327) Data 0.000 (0.001) Loss 1.7281 (1.7776) Prec@1 61.719 (59.473) Prec@5 78.906 (81.250) Epoch: [47][3680/10010] Time 0.323 (0.327) Data 0.001 (0.001) Loss 2.1758 (1.7779) Prec@1 49.219 (59.466) Prec@5 75.781 (81.246) Epoch: [47][3690/10010] Time 0.325 (0.327) Data 0.001 (0.001) Loss 1.7825 (1.7779) Prec@1 60.156 (59.465) Prec@5 83.594 (81.245) Epoch: [47][3700/10010] Time 0.324 (0.327) Data 0.000 (0.001) Loss 2.1108 (1.7782) Prec@1 61.719 (59.463) Prec@5 75.781 (81.241) Epoch: [47][3710/10010] Time 0.329 (0.327) Data 0.001 (0.001) Loss 1.9865 (1.7785) Prec@1 59.375 (59.460) Prec@5 76.562 (81.237) Epoch: [47][3720/10010] Time 0.315 (0.327) Data 0.001 (0.001) Loss 1.7599 (1.7785) Prec@1 57.812 (59.457) Prec@5 82.031 (81.236) Epoch: [47][3730/10010] Time 0.318 (0.327) Data 0.001 (0.001) Loss 1.7584 (1.7784) Prec@1 61.719 (59.460) Prec@5 81.250 (81.236) Epoch: [47][3740/10010] Time 0.326 (0.327) Data 0.001 (0.001) Loss 1.6653 (1.7787) Prec@1 56.250 (59.450) Prec@5 82.031 (81.233) Epoch: [47][3750/10010] Time 0.337 (0.327) Data 0.001 (0.001) Loss 1.5028 (1.7788) Prec@1 64.844 (59.445) Prec@5 85.938 (81.233) Epoch: [47][3760/10010] Time 0.320 (0.327) Data 0.000 (0.001) Loss 1.8173 (1.7791) Prec@1 60.938 (59.441) Prec@5 79.688 (81.230) Epoch: [47][3770/10010] Time 0.315 (0.327) Data 0.001 (0.001) Loss 2.1437 (1.7794) Prec@1 54.688 (59.435) Prec@5 75.781 (81.224) Epoch: [47][3780/10010] Time 0.314 (0.327) Data 0.001 (0.001) Loss 1.5431 (1.7793) Prec@1 64.844 (59.438) Prec@5 85.156 (81.224) Epoch: [47][3790/10010] Time 0.338 (0.327) Data 0.001 (0.001) Loss 1.6045 (1.7790) Prec@1 60.156 (59.442) Prec@5 80.469 (81.227) Epoch: [47][3800/10010] Time 0.335 (0.327) Data 0.001 (0.001) Loss 1.7200 (1.7790) Prec@1 55.469 (59.439) Prec@5 83.594 (81.228) Epoch: [47][3810/10010] Time 0.323 (0.327) Data 0.001 (0.001) Loss 1.7664 (1.7790) Prec@1 65.625 (59.441) Prec@5 81.250 (81.228) Epoch: [47][3820/10010] Time 0.325 (0.327) Data 0.000 (0.001) Loss 1.5284 (1.7790) Prec@1 62.500 (59.443) Prec@5 84.375 (81.229) Epoch: [47][3830/10010] Time 0.336 (0.327) Data 0.001 (0.001) Loss 1.8533 (1.7794) Prec@1 62.500 (59.438) Prec@5 82.031 (81.224) Epoch: [47][3840/10010] Time 0.322 (0.327) Data 0.000 (0.001) Loss 1.8822 (1.7797) Prec@1 59.375 (59.434) Prec@5 78.906 (81.220) Epoch: [47][3850/10010] Time 0.330 (0.327) Data 0.000 (0.001) Loss 1.6122 (1.7798) Prec@1 60.938 (59.433) Prec@5 85.156 (81.219) Epoch: [47][3860/10010] Time 0.328 (0.327) Data 0.000 (0.001) Loss 2.1071 (1.7797) Prec@1 53.906 (59.434) Prec@5 74.219 (81.222) Epoch: [47][3870/10010] Time 0.325 (0.327) Data 0.000 (0.001) Loss 1.6739 (1.7799) Prec@1 64.844 (59.432) Prec@5 81.250 (81.221) Epoch: [47][3880/10010] Time 0.319 (0.327) Data 0.000 (0.001) Loss 1.5468 (1.7800) Prec@1 67.188 (59.433) Prec@5 82.812 (81.219) Epoch: [47][3890/10010] Time 0.335 (0.327) Data 0.001 (0.001) Loss 1.8504 (1.7802) Prec@1 60.156 (59.430) Prec@5 78.906 (81.213) Epoch: [47][3900/10010] Time 0.313 (0.327) Data 0.001 (0.001) Loss 1.8810 (1.7801) Prec@1 58.594 (59.429) Prec@5 80.469 (81.216) Epoch: [47][3910/10010] Time 0.311 (0.327) Data 0.001 (0.001) Loss 1.9423 (1.7800) Prec@1 57.812 (59.433) Prec@5 82.031 (81.214) Epoch: [47][3920/10010] Time 0.318 (0.327) Data 0.001 (0.001) Loss 1.4432 (1.7799) Prec@1 62.500 (59.432) Prec@5 85.938 (81.219) Epoch: [47][3930/10010] Time 0.334 (0.327) Data 0.000 (0.001) Loss 1.7789 (1.7800) Prec@1 56.250 (59.430) Prec@5 81.250 (81.220) Epoch: [47][3940/10010] Time 0.342 (0.327) Data 0.001 (0.001) Loss 2.2351 (1.7800) Prec@1 57.812 (59.430) Prec@5 75.781 (81.220) Epoch: [47][3950/10010] Time 0.324 (0.327) Data 0.001 (0.001) Loss 1.6856 (1.7799) Prec@1 65.625 (59.432) Prec@5 85.156 (81.222) Epoch: [47][3960/10010] Time 0.328 (0.327) Data 0.000 (0.001) Loss 1.9230 (1.7799) Prec@1 58.594 (59.433) Prec@5 80.469 (81.223) Epoch: [47][3970/10010] Time 0.323 (0.327) Data 0.000 (0.001) Loss 2.0132 (1.7799) Prec@1 60.938 (59.434) Prec@5 77.344 (81.221) Epoch: [47][3980/10010] Time 0.327 (0.327) Data 0.001 (0.001) Loss 1.5654 (1.7801) Prec@1 60.156 (59.428) Prec@5 81.250 (81.220) Epoch: [47][3990/10010] Time 0.326 (0.327) Data 0.001 (0.001) Loss 1.7590 (1.7801) Prec@1 57.031 (59.430) Prec@5 78.906 (81.216) Epoch: [47][4000/10010] Time 0.331 (0.327) Data 0.001 (0.001) Loss 1.9944 (1.7801) Prec@1 56.250 (59.432) Prec@5 74.219 (81.217) Epoch: [47][4010/10010] Time 0.320 (0.327) Data 0.000 (0.001) Loss 1.7720 (1.7800) Prec@1 60.938 (59.430) Prec@5 81.250 (81.217) Epoch: [47][4020/10010] Time 0.328 (0.327) Data 0.000 (0.001) Loss 1.8629 (1.7798) Prec@1 59.375 (59.431) Prec@5 78.125 (81.221) Epoch: [47][4030/10010] Time 0.323 (0.327) Data 0.000 (0.001) Loss 1.7587 (1.7797) Prec@1 62.500 (59.433) Prec@5 82.031 (81.221) Epoch: [47][4040/10010] Time 0.321 (0.327) Data 0.000 (0.001) Loss 1.6452 (1.7796) Prec@1 63.281 (59.432) Prec@5 82.031 (81.219) Epoch: [47][4050/10010] Time 0.322 (0.327) Data 0.001 (0.001) Loss 1.9633 (1.7800) Prec@1 51.562 (59.424) Prec@5 78.125 (81.214) Epoch: [47][4060/10010] Time 0.330 (0.327) Data 0.000 (0.001) Loss 1.9242 (1.7800) Prec@1 56.250 (59.424) Prec@5 78.906 (81.217) Epoch: [47][4070/10010] Time 0.323 (0.327) Data 0.001 (0.001) Loss 1.8250 (1.7800) Prec@1 62.500 (59.422) Prec@5 78.125 (81.216) Epoch: [47][4080/10010] Time 0.323 (0.327) Data 0.001 (0.001) Loss 1.7836 (1.7800) Prec@1 59.375 (59.425) Prec@5 81.250 (81.215) Epoch: [47][4090/10010] Time 0.319 (0.327) Data 0.000 (0.001) Loss 1.6688 (1.7802) Prec@1 53.125 (59.420) Prec@5 84.375 (81.211) Epoch: [47][4100/10010] Time 0.338 (0.327) Data 0.001 (0.001) Loss 2.0838 (1.7804) Prec@1 53.906 (59.414) Prec@5 78.125 (81.210) Epoch: [47][4110/10010] Time 0.337 (0.327) Data 0.000 (0.001) Loss 1.6339 (1.7802) Prec@1 62.500 (59.420) Prec@5 86.719 (81.215) Epoch: [47][4120/10010] Time 0.323 (0.327) Data 0.001 (0.001) Loss 1.8736 (1.7803) Prec@1 58.594 (59.417) Prec@5 77.344 (81.211) Epoch: [47][4130/10010] Time 0.324 (0.327) Data 0.000 (0.001) Loss 2.0496 (1.7804) Prec@1 57.031 (59.418) Prec@5 79.688 (81.212) Epoch: [47][4140/10010] Time 0.335 (0.327) Data 0.000 (0.001) Loss 1.6529 (1.7804) Prec@1 61.719 (59.420) Prec@5 85.156 (81.213) Epoch: [47][4150/10010] Time 0.331 (0.327) Data 0.001 (0.001) Loss 2.1829 (1.7804) Prec@1 53.125 (59.421) Prec@5 75.000 (81.212) Epoch: [47][4160/10010] Time 0.313 (0.327) Data 0.001 (0.001) Loss 1.9287 (1.7803) Prec@1 50.781 (59.419) Prec@5 79.688 (81.212) Epoch: [47][4170/10010] Time 0.338 (0.327) Data 0.000 (0.001) Loss 1.9057 (1.7805) Prec@1 57.031 (59.418) Prec@5 76.562 (81.210) Epoch: [47][4180/10010] Time 0.341 (0.327) Data 0.001 (0.001) Loss 1.7028 (1.7807) Prec@1 61.719 (59.415) Prec@5 78.125 (81.206) Epoch: [47][4190/10010] Time 0.322 (0.327) Data 0.001 (0.001) Loss 1.7936 (1.7805) Prec@1 59.375 (59.418) Prec@5 85.156 (81.208) Epoch: [47][4200/10010] Time 0.337 (0.327) Data 0.001 (0.001) Loss 1.9982 (1.7805) Prec@1 53.125 (59.417) Prec@5 78.125 (81.210) Epoch: [47][4210/10010] Time 0.309 (0.327) Data 0.000 (0.001) Loss 1.7584 (1.7806) Prec@1 59.375 (59.415) Prec@5 80.469 (81.211) Epoch: [47][4220/10010] Time 0.322 (0.327) Data 0.001 (0.001) Loss 1.9132 (1.7806) Prec@1 59.375 (59.415) Prec@5 80.469 (81.212) Epoch: [47][4230/10010] Time 0.332 (0.327) Data 0.001 (0.001) Loss 1.9125 (1.7805) Prec@1 57.812 (59.416) Prec@5 75.000 (81.212) Epoch: [47][4240/10010] Time 0.322 (0.327) Data 0.001 (0.001) Loss 1.7370 (1.7804) Prec@1 59.375 (59.416) Prec@5 82.812 (81.214) Epoch: [47][4250/10010] Time 0.312 (0.327) Data 0.001 (0.001) Loss 1.8575 (1.7805) Prec@1 64.844 (59.419) Prec@5 83.594 (81.214) Epoch: [47][4260/10010] Time 0.342 (0.327) Data 0.001 (0.001) Loss 1.8339 (1.7808) Prec@1 54.688 (59.413) Prec@5 81.250 (81.208) Epoch: [47][4270/10010] Time 0.326 (0.327) Data 0.001 (0.001) Loss 2.2450 (1.7807) Prec@1 49.219 (59.415) Prec@5 78.125 (81.209) Epoch: [47][4280/10010] Time 0.320 (0.327) Data 0.000 (0.001) Loss 1.7718 (1.7804) Prec@1 59.375 (59.420) Prec@5 79.688 (81.211) Epoch: [47][4290/10010] Time 0.332 (0.327) Data 0.001 (0.001) Loss 1.6781 (1.7805) Prec@1 60.156 (59.420) Prec@5 84.375 (81.212) Epoch: [47][4300/10010] Time 0.334 (0.327) Data 0.001 (0.001) Loss 1.7509 (1.7804) Prec@1 57.812 (59.419) Prec@5 81.250 (81.214) Epoch: [47][4310/10010] Time 0.342 (0.327) Data 0.001 (0.001) Loss 1.8261 (1.7806) Prec@1 53.125 (59.411) Prec@5 79.688 (81.212) Epoch: [47][4320/10010] Time 0.320 (0.327) Data 0.000 (0.001) Loss 1.7009 (1.7804) Prec@1 59.375 (59.415) Prec@5 82.031 (81.217) Epoch: [47][4330/10010] Time 0.312 (0.327) Data 0.000 (0.001) Loss 1.7464 (1.7806) Prec@1 61.719 (59.413) Prec@5 81.250 (81.213) Epoch: [47][4340/10010] Time 0.313 (0.327) Data 0.000 (0.001) Loss 1.8794 (1.7805) Prec@1 60.156 (59.415) Prec@5 78.906 (81.218) Epoch: [47][4350/10010] Time 0.328 (0.327) Data 0.001 (0.001) Loss 1.9193 (1.7805) Prec@1 57.031 (59.413) Prec@5 76.562 (81.214) Epoch: [47][4360/10010] Time 0.330 (0.327) Data 0.000 (0.001) Loss 1.9126 (1.7806) Prec@1 60.156 (59.411) Prec@5 77.344 (81.211) Epoch: [47][4370/10010] Time 0.313 (0.327) Data 0.001 (0.001) Loss 1.6252 (1.7807) Prec@1 60.156 (59.411) Prec@5 82.812 (81.209) Epoch: [47][4380/10010] Time 0.313 (0.327) Data 0.001 (0.001) Loss 1.9239 (1.7810) Prec@1 53.906 (59.402) Prec@5 78.906 (81.204) Epoch: [47][4390/10010] Time 0.317 (0.327) Data 0.001 (0.001) Loss 1.3773 (1.7807) Prec@1 70.312 (59.410) Prec@5 87.500 (81.208) Epoch: [47][4400/10010] Time 0.343 (0.327) Data 0.001 (0.001) Loss 1.7643 (1.7807) Prec@1 58.594 (59.409) Prec@5 79.688 (81.208) Epoch: [47][4410/10010] Time 0.326 (0.327) Data 0.001 (0.001) Loss 1.9515 (1.7810) Prec@1 59.375 (59.407) Prec@5 76.562 (81.205) Epoch: [47][4420/10010] Time 0.328 (0.327) Data 0.000 (0.001) Loss 1.8086 (1.7809) Prec@1 62.500 (59.414) Prec@5 79.688 (81.206) Epoch: [47][4430/10010] Time 0.339 (0.327) Data 0.001 (0.001) Loss 1.7146 (1.7809) Prec@1 60.156 (59.412) Prec@5 82.031 (81.204) Epoch: [47][4440/10010] Time 0.323 (0.327) Data 0.000 (0.001) Loss 1.8431 (1.7809) Prec@1 64.062 (59.414) Prec@5 81.250 (81.203) Epoch: [47][4450/10010] Time 0.317 (0.327) Data 0.001 (0.001) Loss 1.6307 (1.7808) Prec@1 64.062 (59.414) Prec@5 84.375 (81.201) Epoch: [47][4460/10010] Time 0.319 (0.327) Data 0.001 (0.001) Loss 1.8189 (1.7808) Prec@1 57.031 (59.415) Prec@5 75.781 (81.200) Epoch: [47][4470/10010] Time 0.329 (0.327) Data 0.000 (0.001) Loss 1.7208 (1.7808) Prec@1 59.375 (59.413) Prec@5 80.469 (81.202) Epoch: [47][4480/10010] Time 0.319 (0.327) Data 0.001 (0.001) Loss 1.7244 (1.7810) Prec@1 61.719 (59.413) Prec@5 82.812 (81.202) Epoch: [47][4490/10010] Time 0.318 (0.327) Data 0.001 (0.001) Loss 1.4516 (1.7810) Prec@1 66.406 (59.412) Prec@5 85.938 (81.204) Epoch: [47][4500/10010] Time 0.311 (0.327) Data 0.001 (0.001) Loss 1.8985 (1.7810) Prec@1 60.938 (59.413) Prec@5 80.469 (81.205) Epoch: [47][4510/10010] Time 0.322 (0.327) Data 0.000 (0.001) Loss 1.7243 (1.7810) Prec@1 56.250 (59.410) Prec@5 84.375 (81.205) Epoch: [47][4520/10010] Time 0.319 (0.327) Data 0.001 (0.001) Loss 1.7902 (1.7809) Prec@1 62.500 (59.412) Prec@5 79.688 (81.208) Epoch: [47][4530/10010] Time 0.324 (0.327) Data 0.001 (0.001) Loss 1.6474 (1.7806) Prec@1 67.188 (59.418) Prec@5 82.812 (81.213) Epoch: [47][4540/10010] Time 0.328 (0.327) Data 0.001 (0.001) Loss 2.3263 (1.7808) Prec@1 50.781 (59.414) Prec@5 71.875 (81.210) Epoch: [47][4550/10010] Time 0.325 (0.327) Data 0.000 (0.001) Loss 1.6672 (1.7809) Prec@1 57.031 (59.411) Prec@5 83.594 (81.205) Epoch: [47][4560/10010] Time 0.311 (0.327) Data 0.001 (0.001) Loss 1.7436 (1.7810) Prec@1 58.594 (59.411) Prec@5 78.906 (81.202) Epoch: [47][4570/10010] Time 0.325 (0.327) Data 0.000 (0.001) Loss 1.5344 (1.7811) Prec@1 67.188 (59.409) Prec@5 85.156 (81.202) Epoch: [47][4580/10010] Time 0.332 (0.327) Data 0.001 (0.001) Loss 1.9872 (1.7813) Prec@1 57.812 (59.401) Prec@5 78.906 (81.197) Epoch: [47][4590/10010] Time 0.316 (0.327) Data 0.001 (0.001) Loss 1.5614 (1.7814) Prec@1 60.938 (59.398) Prec@5 82.031 (81.196) Epoch: [47][4600/10010] Time 0.312 (0.327) Data 0.001 (0.001) Loss 1.7855 (1.7813) Prec@1 62.500 (59.400) Prec@5 82.812 (81.198) Epoch: [47][4610/10010] Time 0.333 (0.327) Data 0.000 (0.001) Loss 1.6398 (1.7815) Prec@1 63.281 (59.396) Prec@5 80.469 (81.194) Epoch: [47][4620/10010] Time 0.338 (0.327) Data 0.001 (0.001) Loss 1.6990 (1.7815) Prec@1 60.938 (59.400) Prec@5 83.594 (81.194) Epoch: [47][4630/10010] Time 0.322 (0.327) Data 0.001 (0.001) Loss 1.7825 (1.7813) Prec@1 56.250 (59.403) Prec@5 82.031 (81.198) Epoch: [47][4640/10010] Time 0.330 (0.327) Data 0.000 (0.001) Loss 1.8070 (1.7812) Prec@1 56.250 (59.404) Prec@5 82.812 (81.202) Epoch: [47][4650/10010] Time 0.331 (0.327) Data 0.001 (0.001) Loss 1.9016 (1.7813) Prec@1 60.938 (59.407) Prec@5 78.125 (81.197) Epoch: [47][4660/10010] Time 0.340 (0.327) Data 0.001 (0.001) Loss 1.7878 (1.7813) Prec@1 58.594 (59.407) Prec@5 82.812 (81.195) Epoch: [47][4670/10010] Time 0.318 (0.327) Data 0.000 (0.001) Loss 1.5917 (1.7811) Prec@1 62.500 (59.411) Prec@5 85.156 (81.199) Epoch: [47][4680/10010] Time 0.332 (0.327) Data 0.001 (0.001) Loss 1.4049 (1.7809) Prec@1 65.625 (59.414) Prec@5 84.375 (81.201) Epoch: [47][4690/10010] Time 0.309 (0.327) Data 0.001 (0.001) Loss 1.9159 (1.7809) Prec@1 60.938 (59.414) Prec@5 76.562 (81.201) Epoch: [47][4700/10010] Time 0.339 (0.327) Data 0.001 (0.001) Loss 1.7090 (1.7811) Prec@1 61.719 (59.414) Prec@5 81.250 (81.197) Epoch: [47][4710/10010] Time 0.312 (0.327) Data 0.001 (0.001) Loss 1.8970 (1.7812) Prec@1 59.375 (59.418) Prec@5 79.688 (81.194) Epoch: [47][4720/10010] Time 0.324 (0.327) Data 0.000 (0.001) Loss 2.0128 (1.7812) Prec@1 54.688 (59.419) Prec@5 72.656 (81.192) Epoch: [47][4730/10010] Time 0.319 (0.327) Data 0.001 (0.001) Loss 2.0793 (1.7814) Prec@1 55.469 (59.416) Prec@5 75.781 (81.189) Epoch: [47][4740/10010] Time 0.317 (0.327) Data 0.001 (0.001) Loss 1.3921 (1.7811) Prec@1 67.188 (59.423) Prec@5 85.938 (81.192) Epoch: [47][4750/10010] Time 0.331 (0.327) Data 0.000 (0.001) Loss 1.5969 (1.7814) Prec@1 65.625 (59.421) Prec@5 83.594 (81.187) Epoch: [47][4760/10010] Time 0.323 (0.327) Data 0.000 (0.001) Loss 2.1638 (1.7814) Prec@1 50.781 (59.423) Prec@5 76.562 (81.186) Epoch: [47][4770/10010] Time 0.332 (0.327) Data 0.001 (0.001) Loss 2.1142 (1.7814) Prec@1 50.781 (59.420) Prec@5 78.906 (81.188) Epoch: [47][4780/10010] Time 0.318 (0.327) Data 0.000 (0.001) Loss 1.4541 (1.7814) Prec@1 64.062 (59.419) Prec@5 87.500 (81.188) Epoch: [47][4790/10010] Time 0.331 (0.327) Data 0.001 (0.001) Loss 1.6309 (1.7816) Prec@1 60.938 (59.417) Prec@5 83.594 (81.186) Epoch: [47][4800/10010] Time 0.335 (0.327) Data 0.000 (0.001) Loss 1.6672 (1.7814) Prec@1 67.188 (59.423) Prec@5 82.812 (81.189) Epoch: [47][4810/10010] Time 0.317 (0.327) Data 0.001 (0.001) Loss 1.7848 (1.7814) Prec@1 59.375 (59.421) Prec@5 78.906 (81.188) Epoch: [47][4820/10010] Time 0.335 (0.327) Data 0.001 (0.001) Loss 1.6014 (1.7815) Prec@1 67.969 (59.419) Prec@5 82.812 (81.185) Epoch: [47][4830/10010] Time 0.315 (0.327) Data 0.000 (0.001) Loss 2.0914 (1.7816) Prec@1 50.781 (59.417) Prec@5 76.562 (81.180) Epoch: [47][4840/10010] Time 0.334 (0.327) Data 0.001 (0.001) Loss 1.3012 (1.7816) Prec@1 63.281 (59.414) Prec@5 91.406 (81.181) Epoch: [47][4850/10010] Time 0.316 (0.327) Data 0.001 (0.001) Loss 1.9153 (1.7816) Prec@1 56.250 (59.414) Prec@5 78.906 (81.181) Epoch: [47][4860/10010] Time 0.332 (0.327) Data 0.000 (0.001) Loss 1.7288 (1.7815) Prec@1 57.812 (59.417) Prec@5 82.031 (81.181) Epoch: [47][4870/10010] Time 0.335 (0.327) Data 0.001 (0.001) Loss 1.7931 (1.7816) Prec@1 58.594 (59.414) Prec@5 81.250 (81.180) Epoch: [47][4880/10010] Time 0.319 (0.327) Data 0.000 (0.001) Loss 1.6950 (1.7815) Prec@1 64.844 (59.419) Prec@5 80.469 (81.181) /data/vision/torralba/deepscene/lib/anaconda2/lib/python2.7/site-packages/PIL/TiffImagePlugin.py:709: UserWarning: Corrupt EXIF data. Expecting to read 4 bytes but only got 0. warnings.warn(str(msg)) Epoch: [47][4890/10010] Time 0.319 (0.327) Data 0.000 (0.001) Loss 1.9927 (1.7816) Prec@1 54.688 (59.417) Prec@5 79.688 (81.179) Epoch: [47][4900/10010] Time 0.317 (0.327) Data 0.001 (0.001) Loss 1.8783 (1.7816) Prec@1 58.594 (59.416) Prec@5 81.250 (81.179) /data/vision/torralba/deepscene/lib/anaconda2/lib/python2.7/site-packages/PIL/TiffImagePlugin.py:692: UserWarning: Possibly corrupt EXIF data. Expecting to read 2555904 bytes but only got 0. Skipping tag 0 "Skipping tag %s" % (size, len(data), tag)) /data/vision/torralba/deepscene/lib/anaconda2/lib/python2.7/site-packages/PIL/TiffImagePlugin.py:692: UserWarning: Possibly corrupt EXIF data. Expecting to read 19660800 bytes but only got 0. Skipping tag 0 "Skipping tag %s" % (size, len(data), tag)) /data/vision/torralba/deepscene/lib/anaconda2/lib/python2.7/site-packages/PIL/TiffImagePlugin.py:692: UserWarning: Possibly corrupt EXIF data. Expecting to read 18481152 bytes but only got 0. Skipping tag 0 "Skipping tag %s" % (size, len(data), tag)) /data/vision/torralba/deepscene/lib/anaconda2/lib/python2.7/site-packages/PIL/TiffImagePlugin.py:692: UserWarning: Possibly corrupt EXIF data. Expecting to read 37093376 bytes but only got 0. Skipping tag 0 "Skipping tag %s" % (size, len(data), tag)) /data/vision/torralba/deepscene/lib/anaconda2/lib/python2.7/site-packages/PIL/TiffImagePlugin.py:692: UserWarning: Possibly corrupt EXIF data. Expecting to read 39976960 bytes but only got 0. Skipping tag 0 "Skipping tag %s" % (size, len(data), tag)) /data/vision/torralba/deepscene/lib/anaconda2/lib/python2.7/site-packages/PIL/TiffImagePlugin.py:692: UserWarning: Possibly corrupt EXIF data. Expecting to read 34865152 bytes but only got 0. Skipping tag 0 "Skipping tag %s" % (size, len(data), tag)) /data/vision/torralba/deepscene/lib/anaconda2/lib/python2.7/site-packages/PIL/TiffImagePlugin.py:709: UserWarning: Corrupt EXIF data. Expecting to read 12 bytes but only got 10. warnings.warn(str(msg)) Epoch: [47][4910/10010] Time 0.331 (0.327) Data 0.001 (0.001) Loss 2.0237 (1.7816) Prec@1 50.781 (59.415) Prec@5 74.219 (81.179) Epoch: [47][4920/10010] Time 0.318 (0.327) Data 0.000 (0.001) Loss 1.9663 (1.7817) Prec@1 59.375 (59.413) Prec@5 76.562 (81.176) Epoch: [47][4930/10010] Time 0.337 (0.327) Data 0.001 (0.001) Loss 1.9015 (1.7818) Prec@1 59.375 (59.413) Prec@5 81.250 (81.175) Epoch: [47][4940/10010] Time 0.338 (0.327) Data 0.001 (0.001) Loss 1.6246 (1.7818) Prec@1 61.719 (59.412) Prec@5 84.375 (81.177) Epoch: [47][4950/10010] Time 0.336 (0.327) Data 0.001 (0.001) Loss 1.7802 (1.7820) Prec@1 64.062 (59.410) Prec@5 82.812 (81.174) Epoch: [47][4960/10010] Time 0.327 (0.327) Data 0.000 (0.001) Loss 2.1136 (1.7820) Prec@1 54.688 (59.407) Prec@5 77.344 (81.173) Epoch: [47][4970/10010] Time 0.325 (0.327) Data 0.000 (0.001) Loss 1.9561 (1.7821) Prec@1 56.250 (59.407) Prec@5 76.562 (81.171) Epoch: [47][4980/10010] Time 0.329 (0.327) Data 0.001 (0.001) Loss 1.6080 (1.7822) Prec@1 60.938 (59.407) Prec@5 82.812 (81.172) Epoch: [47][4990/10010] Time 0.320 (0.327) Data 0.001 (0.001) Loss 1.7320 (1.7821) Prec@1 57.031 (59.409) Prec@5 80.469 (81.174) Epoch: [47][5000/10010] Time 0.317 (0.327) Data 0.001 (0.001) Loss 1.3560 (1.7820) Prec@1 67.969 (59.411) Prec@5 87.500 (81.176) Epoch: [47][5010/10010] Time 0.324 (0.327) Data 0.000 (0.001) Loss 2.1236 (1.7822) Prec@1 53.906 (59.407) Prec@5 78.125 (81.174) Epoch: [47][5020/10010] Time 0.339 (0.327) Data 0.001 (0.001) Loss 1.8132 (1.7822) Prec@1 58.594 (59.406) Prec@5 76.562 (81.172) Epoch: [47][5030/10010] Time 0.314 (0.327) Data 0.001 (0.001) Loss 1.7225 (1.7822) Prec@1 64.844 (59.407) Prec@5 82.031 (81.171) Epoch: [47][5040/10010] Time 0.318 (0.327) Data 0.000 (0.001) Loss 2.0939 (1.7823) Prec@1 52.344 (59.407) Prec@5 75.000 (81.171) Epoch: [47][5050/10010] Time 0.315 (0.327) Data 0.001 (0.001) Loss 1.9775 (1.7824) Prec@1 49.219 (59.405) Prec@5 76.562 (81.170) Epoch: [47][5060/10010] Time 0.314 (0.327) Data 0.000 (0.001) Loss 1.9419 (1.7824) Prec@1 53.906 (59.404) Prec@5 75.781 (81.170) Epoch: [47][5070/10010] Time 0.319 (0.327) Data 0.000 (0.001) Loss 1.9823 (1.7824) Prec@1 54.688 (59.407) Prec@5 80.469 (81.171) Epoch: [47][5080/10010] Time 0.320 (0.327) Data 0.000 (0.001) Loss 1.8465 (1.7825) Prec@1 59.375 (59.406) Prec@5 80.469 (81.169) Epoch: [47][5090/10010] Time 0.324 (0.327) Data 0.001 (0.001) Loss 1.7421 (1.7825) Prec@1 62.500 (59.406) Prec@5 80.469 (81.167) Epoch: [47][5100/10010] Time 0.342 (0.327) Data 0.001 (0.001) Loss 1.9425 (1.7827) Prec@1 57.031 (59.405) Prec@5 78.906 (81.166) Epoch: [47][5110/10010] Time 0.333 (0.327) Data 0.000 (0.001) Loss 1.4987 (1.7826) Prec@1 62.500 (59.405) Prec@5 84.375 (81.169) Epoch: [47][5120/10010] Time 0.326 (0.327) Data 0.001 (0.001) Loss 1.6522 (1.7825) Prec@1 63.281 (59.407) Prec@5 82.031 (81.171) Epoch: [47][5130/10010] Time 0.320 (0.327) Data 0.001 (0.001) Loss 1.8221 (1.7826) Prec@1 57.031 (59.404) Prec@5 79.688 (81.170) Epoch: [47][5140/10010] Time 0.325 (0.327) Data 0.001 (0.001) Loss 2.0907 (1.7827) Prec@1 57.812 (59.404) Prec@5 74.219 (81.170) Epoch: [47][5150/10010] Time 0.338 (0.327) Data 0.001 (0.001) Loss 1.9339 (1.7827) Prec@1 57.812 (59.405) Prec@5 78.906 (81.170) Epoch: [47][5160/10010] Time 0.330 (0.327) Data 0.001 (0.001) Loss 1.8327 (1.7828) Prec@1 57.031 (59.405) Prec@5 79.688 (81.169) Epoch: [47][5170/10010] Time 0.331 (0.327) Data 0.000 (0.001) Loss 1.7433 (1.7827) Prec@1 64.062 (59.407) Prec@5 83.594 (81.170) Epoch: [47][5180/10010] Time 0.324 (0.327) Data 0.000 (0.001) Loss 1.8707 (1.7827) Prec@1 59.375 (59.406) Prec@5 78.906 (81.171) Epoch: [47][5190/10010] Time 0.319 (0.327) Data 0.001 (0.001) Loss 1.6950 (1.7827) Prec@1 64.062 (59.406) Prec@5 81.250 (81.171) Epoch: [47][5200/10010] Time 0.325 (0.327) Data 0.001 (0.001) Loss 1.5074 (1.7826) Prec@1 61.719 (59.407) Prec@5 85.938 (81.172) Epoch: [47][5210/10010] Time 0.318 (0.327) Data 0.001 (0.001) Loss 1.6801 (1.7826) Prec@1 60.938 (59.411) Prec@5 82.031 (81.172) Epoch: [47][5220/10010] Time 0.320 (0.327) Data 0.001 (0.001) Loss 1.8709 (1.7827) Prec@1 56.250 (59.407) Prec@5 78.906 (81.169) Epoch: [47][5230/10010] Time 0.337 (0.327) Data 0.001 (0.001) Loss 1.6004 (1.7825) Prec@1 63.281 (59.412) Prec@5 84.375 (81.173) Epoch: [47][5240/10010] Time 0.327 (0.327) Data 0.000 (0.001) Loss 1.6319 (1.7824) Prec@1 60.156 (59.414) Prec@5 81.250 (81.173) Epoch: [47][5250/10010] Time 0.323 (0.327) Data 0.000 (0.001) Loss 2.0093 (1.7826) Prec@1 55.469 (59.410) Prec@5 76.562 (81.171) Epoch: [47][5260/10010] Time 0.336 (0.327) Data 0.000 (0.001) Loss 1.9572 (1.7827) Prec@1 53.125 (59.409) Prec@5 78.125 (81.168) Epoch: [47][5270/10010] Time 0.331 (0.327) Data 0.001 (0.001) Loss 1.6334 (1.7825) Prec@1 64.844 (59.412) Prec@5 81.250 (81.171) Epoch: [47][5280/10010] Time 0.327 (0.327) Data 0.000 (0.001) Loss 1.9216 (1.7825) Prec@1 62.500 (59.414) Prec@5 78.906 (81.171) Epoch: [47][5290/10010] Time 0.315 (0.327) Data 0.001 (0.001) Loss 2.1064 (1.7825) Prec@1 60.938 (59.415) Prec@5 76.562 (81.170) Epoch: [47][5300/10010] Time 0.331 (0.327) Data 0.001 (0.001) Loss 2.1387 (1.7825) Prec@1 56.250 (59.418) Prec@5 71.094 (81.169) Epoch: [47][5310/10010] Time 0.314 (0.327) Data 0.000 (0.001) Loss 2.0418 (1.7824) Prec@1 54.688 (59.420) Prec@5 81.250 (81.172) Epoch: [47][5320/10010] Time 0.320 (0.327) Data 0.001 (0.001) Loss 1.8372 (1.7824) Prec@1 63.281 (59.420) Prec@5 77.344 (81.172) Epoch: [47][5330/10010] Time 0.321 (0.327) Data 0.001 (0.001) Loss 1.8495 (1.7824) Prec@1 55.469 (59.419) Prec@5 79.688 (81.171) Epoch: [47][5340/10010] Time 0.325 (0.327) Data 0.001 (0.001) Loss 1.9003 (1.7824) Prec@1 54.688 (59.421) Prec@5 76.562 (81.171) Epoch: [47][5350/10010] Time 0.335 (0.327) Data 0.001 (0.001) Loss 1.9161 (1.7823) Prec@1 57.031 (59.423) Prec@5 80.469 (81.171) Epoch: [47][5360/10010] Time 0.326 (0.327) Data 0.000 (0.001) Loss 1.8289 (1.7824) Prec@1 58.594 (59.424) Prec@5 81.250 (81.171) Epoch: [47][5370/10010] Time 0.338 (0.327) Data 0.000 (0.001) Loss 1.7560 (1.7825) Prec@1 63.281 (59.423) Prec@5 83.594 (81.170) Epoch: [47][5380/10010] Time 0.312 (0.327) Data 0.001 (0.001) Loss 1.6219 (1.7825) Prec@1 64.062 (59.420) Prec@5 81.250 (81.169) Epoch: [47][5390/10010] Time 0.327 (0.327) Data 0.001 (0.001) Loss 1.5933 (1.7824) Prec@1 64.062 (59.420) Prec@5 80.469 (81.168) Epoch: [47][5400/10010] Time 0.333 (0.327) Data 0.001 (0.001) Loss 1.6452 (1.7824) Prec@1 56.250 (59.419) Prec@5 84.375 (81.170) Epoch: [47][5410/10010] Time 0.334 (0.327) Data 0.001 (0.001) Loss 1.8561 (1.7825) Prec@1 53.906 (59.412) Prec@5 81.250 (81.169) Epoch: [47][5420/10010] Time 0.340 (0.327) Data 0.001 (0.001) Loss 2.1154 (1.7827) Prec@1 52.344 (59.409) Prec@5 76.562 (81.166) Epoch: [47][5430/10010] Time 0.322 (0.327) Data 0.000 (0.001) Loss 1.8351 (1.7828) Prec@1 60.156 (59.408) Prec@5 80.469 (81.164) Epoch: [47][5440/10010] Time 0.315 (0.327) Data 0.001 (0.001) Loss 1.6402 (1.7827) Prec@1 67.188 (59.412) Prec@5 81.250 (81.165) Epoch: [47][5450/10010] Time 0.320 (0.327) Data 0.000 (0.001) Loss 1.8230 (1.7828) Prec@1 59.375 (59.408) Prec@5 77.344 (81.162) Epoch: [47][5460/10010] Time 0.320 (0.327) Data 0.001 (0.001) Loss 1.5765 (1.7828) Prec@1 60.938 (59.409) Prec@5 85.938 (81.162) Epoch: [47][5470/10010] Time 0.325 (0.327) Data 0.001 (0.001) Loss 2.0066 (1.7828) Prec@1 57.812 (59.409) Prec@5 77.344 (81.163) Epoch: [47][5480/10010] Time 0.323 (0.327) Data 0.000 (0.001) Loss 1.5704 (1.7825) Prec@1 60.938 (59.413) Prec@5 86.719 (81.168) Epoch: [47][5490/10010] Time 0.326 (0.327) Data 0.001 (0.001) Loss 1.6830 (1.7824) Prec@1 60.156 (59.414) Prec@5 85.156 (81.171) Epoch: [47][5500/10010] Time 0.337 (0.327) Data 0.001 (0.001) Loss 1.8008 (1.7823) Prec@1 56.250 (59.415) Prec@5 81.250 (81.173) Epoch: [47][5510/10010] Time 0.322 (0.327) Data 0.001 (0.001) Loss 1.6188 (1.7822) Prec@1 62.500 (59.415) Prec@5 85.156 (81.176) Epoch: [47][5520/10010] Time 0.320 (0.327) Data 0.001 (0.001) Loss 1.6345 (1.7819) Prec@1 62.500 (59.423) Prec@5 83.594 (81.181) Epoch: [47][5530/10010] Time 0.328 (0.327) Data 0.001 (0.001) Loss 1.9532 (1.7818) Prec@1 54.688 (59.421) Prec@5 81.250 (81.182) Epoch: [47][5540/10010] Time 0.333 (0.327) Data 0.001 (0.001) Loss 1.7995 (1.7819) Prec@1 56.250 (59.416) Prec@5 78.906 (81.180) Epoch: [47][5550/10010] Time 0.338 (0.327) Data 0.001 (0.001) Loss 1.7350 (1.7820) Prec@1 59.375 (59.417) Prec@5 79.688 (81.180) Epoch: [47][5560/10010] Time 0.329 (0.327) Data 0.000 (0.001) Loss 1.5952 (1.7821) Prec@1 61.719 (59.413) Prec@5 83.594 (81.178) Epoch: [47][5570/10010] Time 0.327 (0.327) Data 0.001 (0.001) Loss 1.4147 (1.7821) Prec@1 64.062 (59.410) Prec@5 86.719 (81.178) Epoch: [47][5580/10010] Time 0.312 (0.327) Data 0.001 (0.001) Loss 1.6409 (1.7820) Prec@1 63.281 (59.412) Prec@5 82.031 (81.177) Epoch: [47][5590/10010] Time 0.318 (0.327) Data 0.001 (0.001) Loss 2.1942 (1.7821) Prec@1 53.125 (59.411) Prec@5 76.562 (81.178) Epoch: [47][5600/10010] Time 0.336 (0.327) Data 0.001 (0.001) Loss 2.1941 (1.7823) Prec@1 50.781 (59.408) Prec@5 73.438 (81.176) Epoch: [47][5610/10010] Time 0.315 (0.327) Data 0.003 (0.001) Loss 1.7417 (1.7822) Prec@1 60.938 (59.409) Prec@5 82.031 (81.179) Epoch: [47][5620/10010] Time 0.338 (0.327) Data 0.001 (0.001) Loss 1.8392 (1.7822) Prec@1 58.594 (59.411) Prec@5 80.469 (81.178) Epoch: [47][5630/10010] Time 0.340 (0.327) Data 0.001 (0.001) Loss 2.0138 (1.7821) Prec@1 56.250 (59.412) Prec@5 76.562 (81.178) Epoch: [47][5640/10010] Time 0.337 (0.327) Data 0.000 (0.001) Loss 1.8279 (1.7819) Prec@1 56.250 (59.416) Prec@5 81.250 (81.182) Epoch: [47][5650/10010] Time 0.337 (0.327) Data 0.000 (0.001) Loss 1.7055 (1.7821) Prec@1 60.156 (59.413) Prec@5 81.250 (81.180) Epoch: [47][5660/10010] Time 0.337 (0.327) Data 0.001 (0.001) Loss 1.8691 (1.7823) Prec@1 57.812 (59.413) Prec@5 79.688 (81.177) Epoch: [47][5670/10010] Time 0.317 (0.327) Data 0.001 (0.001) Loss 1.9460 (1.7823) Prec@1 60.938 (59.415) Prec@5 80.469 (81.178) Epoch: [47][5680/10010] Time 0.340 (0.327) Data 0.001 (0.001) Loss 1.8469 (1.7822) Prec@1 59.375 (59.417) Prec@5 80.469 (81.178) Epoch: [47][5690/10010] Time 0.314 (0.327) Data 0.001 (0.001) Loss 1.7302 (1.7823) Prec@1 60.156 (59.413) Prec@5 80.469 (81.176) Epoch: [47][5700/10010] Time 0.340 (0.327) Data 0.001 (0.001) Loss 2.2144 (1.7822) Prec@1 56.250 (59.416) Prec@5 75.000 (81.177) Epoch: [47][5710/10010] Time 0.336 (0.327) Data 0.001 (0.001) Loss 2.0021 (1.7823) Prec@1 51.562 (59.412) Prec@5 76.562 (81.175) Epoch: [47][5720/10010] Time 0.334 (0.327) Data 0.001 (0.001) Loss 1.6026 (1.7824) Prec@1 64.062 (59.411) Prec@5 86.719 (81.174) Epoch: [47][5730/10010] Time 0.337 (0.327) Data 0.001 (0.001) Loss 1.6299 (1.7824) Prec@1 59.375 (59.409) Prec@5 85.156 (81.174) Epoch: [47][5740/10010] Time 0.317 (0.327) Data 0.001 (0.001) Loss 1.8052 (1.7824) Prec@1 64.062 (59.409) Prec@5 79.688 (81.173) Epoch: [47][5750/10010] Time 0.324 (0.327) Data 0.001 (0.001) Loss 1.8776 (1.7823) Prec@1 58.594 (59.411) Prec@5 81.250 (81.175) Epoch: [47][5760/10010] Time 0.338 (0.327) Data 0.000 (0.001) Loss 1.8186 (1.7824) Prec@1 60.938 (59.408) Prec@5 79.688 (81.175) Epoch: [47][5770/10010] Time 0.318 (0.327) Data 0.000 (0.001) Loss 1.7289 (1.7825) Prec@1 60.938 (59.407) Prec@5 79.688 (81.171) Epoch: [47][5780/10010] Time 0.337 (0.327) Data 0.001 (0.001) Loss 1.5825 (1.7824) Prec@1 66.406 (59.406) Prec@5 82.812 (81.171) Epoch: [47][5790/10010] Time 0.335 (0.327) Data 0.001 (0.001) Loss 1.7236 (1.7824) Prec@1 62.500 (59.407) Prec@5 82.812 (81.172) Epoch: [47][5800/10010] Time 0.319 (0.327) Data 0.001 (0.001) Loss 1.7896 (1.7823) Prec@1 56.250 (59.408) Prec@5 85.938 (81.172) Epoch: [47][5810/10010] Time 0.341 (0.327) Data 0.001 (0.001) Loss 2.0845 (1.7823) Prec@1 49.219 (59.406) Prec@5 78.906 (81.171) Epoch: [47][5820/10010] Time 0.319 (0.327) Data 0.001 (0.001) Loss 1.6937 (1.7823) Prec@1 60.156 (59.406) Prec@5 81.250 (81.171) Epoch: [47][5830/10010] Time 0.333 (0.327) Data 0.001 (0.001) Loss 1.7875 (1.7824) Prec@1 64.844 (59.407) Prec@5 78.906 (81.169) Epoch: [47][5840/10010] Time 0.337 (0.327) Data 0.000 (0.001) Loss 1.7925 (1.7826) Prec@1 62.500 (59.405) Prec@5 80.469 (81.166) Epoch: [47][5850/10010] Time 0.333 (0.327) Data 0.000 (0.001) Loss 1.8748 (1.7825) Prec@1 53.906 (59.405) Prec@5 76.562 (81.166) Epoch: [47][5860/10010] Time 0.317 (0.327) Data 0.004 (0.001) Loss 1.9230 (1.7826) Prec@1 57.812 (59.405) Prec@5 75.781 (81.162) Epoch: [47][5870/10010] Time 0.337 (0.327) Data 0.000 (0.001) Loss 2.1010 (1.7828) Prec@1 55.469 (59.401) Prec@5 75.781 (81.159) Epoch: [47][5880/10010] Time 0.329 (0.327) Data 0.000 (0.001) Loss 1.7900 (1.7828) Prec@1 62.500 (59.401) Prec@5 81.250 (81.160) Epoch: [47][5890/10010] Time 0.340 (0.327) Data 0.000 (0.001) Loss 1.4617 (1.7829) Prec@1 64.844 (59.401) Prec@5 88.281 (81.158) Epoch: [47][5900/10010] Time 0.316 (0.327) Data 0.001 (0.001) Loss 1.7531 (1.7828) Prec@1 57.812 (59.404) Prec@5 82.031 (81.158) Epoch: [47][5910/10010] Time 0.332 (0.327) Data 0.001 (0.001) Loss 1.7807 (1.7827) Prec@1 60.938 (59.404) Prec@5 80.469 (81.158) Epoch: [47][5920/10010] Time 0.327 (0.327) Data 0.000 (0.001) Loss 1.9690 (1.7828) Prec@1 53.906 (59.403) Prec@5 80.469 (81.159) Epoch: [47][5930/10010] Time 0.343 (0.327) Data 0.000 (0.001) Loss 1.8069 (1.7829) Prec@1 58.594 (59.401) Prec@5 82.812 (81.157) Epoch: [47][5940/10010] Time 0.318 (0.327) Data 0.000 (0.001) Loss 1.8271 (1.7829) Prec@1 57.812 (59.403) Prec@5 78.906 (81.157) Epoch: [47][5950/10010] Time 0.329 (0.327) Data 0.001 (0.001) Loss 1.8145 (1.7830) Prec@1 59.375 (59.402) Prec@5 82.031 (81.156) Epoch: [47][5960/10010] Time 0.317 (0.327) Data 0.001 (0.001) Loss 1.6030 (1.7830) Prec@1 64.844 (59.401) Prec@5 78.906 (81.155) Epoch: [47][5970/10010] Time 0.315 (0.327) Data 0.001 (0.001) Loss 2.0149 (1.7832) Prec@1 56.250 (59.398) Prec@5 80.469 (81.154) Epoch: [47][5980/10010] Time 0.338 (0.327) Data 0.001 (0.001) Loss 1.7331 (1.7832) Prec@1 61.719 (59.398) Prec@5 82.812 (81.154) Epoch: [47][5990/10010] Time 0.339 (0.327) Data 0.000 (0.001) Loss 1.9431 (1.7832) Prec@1 57.031 (59.396) Prec@5 79.688 (81.154) Epoch: [47][6000/10010] Time 0.321 (0.327) Data 0.000 (0.001) Loss 1.8366 (1.7832) Prec@1 55.469 (59.393) Prec@5 79.688 (81.152) Epoch: [47][6010/10010] Time 0.320 (0.327) Data 0.001 (0.001) Loss 1.6413 (1.7832) Prec@1 64.062 (59.395) Prec@5 81.250 (81.150) Epoch: [47][6020/10010] Time 0.319 (0.327) Data 0.001 (0.001) Loss 1.4549 (1.7833) Prec@1 60.156 (59.392) Prec@5 86.719 (81.147) Epoch: [47][6030/10010] Time 0.338 (0.327) Data 0.000 (0.001) Loss 1.9250 (1.7834) Prec@1 60.156 (59.392) Prec@5 80.469 (81.146) Epoch: [47][6040/10010] Time 0.335 (0.327) Data 0.000 (0.001) Loss 1.5793 (1.7834) Prec@1 56.250 (59.392) Prec@5 85.156 (81.146) Epoch: [47][6050/10010] Time 0.314 (0.327) Data 0.001 (0.001) Loss 1.6506 (1.7833) Prec@1 56.250 (59.392) Prec@5 83.594 (81.148) Epoch: [47][6060/10010] Time 0.338 (0.327) Data 0.001 (0.001) Loss 1.7378 (1.7834) Prec@1 57.812 (59.392) Prec@5 78.125 (81.147) Epoch: [47][6070/10010] Time 0.337 (0.327) Data 0.001 (0.001) Loss 1.7035 (1.7834) Prec@1 57.812 (59.392) Prec@5 83.594 (81.147) Epoch: [47][6080/10010] Time 0.319 (0.327) Data 0.001 (0.001) Loss 1.7876 (1.7835) Prec@1 57.031 (59.387) Prec@5 76.562 (81.145) Epoch: [47][6090/10010] Time 0.330 (0.327) Data 0.001 (0.001) Loss 1.6613 (1.7835) Prec@1 63.281 (59.389) Prec@5 82.812 (81.145) Epoch: [47][6100/10010] Time 0.326 (0.327) Data 0.000 (0.001) Loss 1.5704 (1.7834) Prec@1 58.594 (59.389) Prec@5 85.156 (81.147) Epoch: [47][6110/10010] Time 0.321 (0.327) Data 0.000 (0.001) Loss 1.7563 (1.7833) Prec@1 60.156 (59.389) Prec@5 81.250 (81.148) Epoch: [47][6120/10010] Time 0.313 (0.327) Data 0.001 (0.001) Loss 1.6023 (1.7834) Prec@1 60.156 (59.387) Prec@5 82.812 (81.148) Epoch: [47][6130/10010] Time 0.324 (0.327) Data 0.001 (0.001) Loss 1.8660 (1.7834) Prec@1 63.281 (59.389) Prec@5 81.250 (81.150) Epoch: [47][6140/10010] Time 0.328 (0.327) Data 0.001 (0.001) Loss 2.0259 (1.7834) Prec@1 59.375 (59.389) Prec@5 78.906 (81.151) Epoch: [47][6150/10010] Time 0.310 (0.327) Data 0.001 (0.001) Loss 1.6529 (1.7834) Prec@1 60.938 (59.388) Prec@5 82.812 (81.150) Epoch: [47][6160/10010] Time 0.322 (0.327) Data 0.000 (0.001) Loss 2.0575 (1.7835) Prec@1 55.469 (59.389) Prec@5 71.875 (81.148) Epoch: [47][6170/10010] Time 0.312 (0.327) Data 0.000 (0.001) Loss 1.7908 (1.7835) Prec@1 59.375 (59.386) Prec@5 83.594 (81.147) Epoch: [47][6180/10010] Time 0.321 (0.327) Data 0.000 (0.001) Loss 2.0527 (1.7836) Prec@1 54.688 (59.385) Prec@5 78.906 (81.145) Epoch: [47][6190/10010] Time 0.315 (0.327) Data 0.000 (0.001) Loss 2.0854 (1.7838) Prec@1 53.125 (59.382) Prec@5 78.125 (81.143) Epoch: [47][6200/10010] Time 0.321 (0.327) Data 0.001 (0.001) Loss 1.7940 (1.7839) Prec@1 55.469 (59.378) Prec@5 82.031 (81.139) Epoch: [47][6210/10010] Time 0.318 (0.327) Data 0.001 (0.001) Loss 1.6806 (1.7839) Prec@1 60.156 (59.379) Prec@5 82.031 (81.140) Epoch: [47][6220/10010] Time 0.323 (0.327) Data 0.001 (0.001) Loss 1.9628 (1.7840) Prec@1 58.594 (59.377) Prec@5 77.344 (81.138) Epoch: [47][6230/10010] Time 0.319 (0.327) Data 0.001 (0.001) Loss 1.5884 (1.7841) Prec@1 62.500 (59.376) Prec@5 83.594 (81.138) Epoch: [47][6240/10010] Time 0.336 (0.327) Data 0.001 (0.001) Loss 1.7635 (1.7842) Prec@1 63.281 (59.376) Prec@5 81.250 (81.137) Epoch: [47][6250/10010] Time 0.334 (0.327) Data 0.000 (0.001) Loss 2.0320 (1.7841) Prec@1 57.812 (59.378) Prec@5 84.375 (81.137) Epoch: [47][6260/10010] Time 0.319 (0.327) Data 0.000 (0.001) Loss 1.7242 (1.7841) Prec@1 60.156 (59.382) Prec@5 83.594 (81.138) Epoch: [47][6270/10010] Time 0.331 (0.327) Data 0.001 (0.001) Loss 1.7935 (1.7840) Prec@1 60.938 (59.385) Prec@5 80.469 (81.137) Epoch: [47][6280/10010] Time 0.337 (0.327) Data 0.001 (0.001) Loss 1.5138 (1.7841) Prec@1 64.844 (59.385) Prec@5 84.375 (81.134) Epoch: [47][6290/10010] Time 0.312 (0.327) Data 0.001 (0.001) Loss 1.7277 (1.7840) Prec@1 54.688 (59.387) Prec@5 84.375 (81.137) Epoch: [47][6300/10010] Time 0.337 (0.327) Data 0.001 (0.001) Loss 1.7435 (1.7839) Prec@1 62.500 (59.388) Prec@5 82.812 (81.138) Epoch: [47][6310/10010] Time 0.330 (0.327) Data 0.000 (0.001) Loss 1.4992 (1.7839) Prec@1 65.625 (59.388) Prec@5 85.156 (81.139) Epoch: [47][6320/10010] Time 0.318 (0.327) Data 0.001 (0.001) Loss 1.7019 (1.7837) Prec@1 60.938 (59.393) Prec@5 83.594 (81.142) Epoch: [47][6330/10010] Time 0.330 (0.327) Data 0.001 (0.001) Loss 1.5864 (1.7837) Prec@1 61.719 (59.393) Prec@5 86.719 (81.141) Epoch: [47][6340/10010] Time 0.317 (0.327) Data 0.001 (0.001) Loss 1.6377 (1.7837) Prec@1 60.156 (59.391) Prec@5 86.719 (81.142) Epoch: [47][6350/10010] Time 0.311 (0.327) Data 0.000 (0.001) Loss 1.8725 (1.7839) Prec@1 52.344 (59.388) Prec@5 81.250 (81.140) Epoch: [47][6360/10010] Time 0.328 (0.327) Data 0.000 (0.001) Loss 1.6766 (1.7839) Prec@1 60.156 (59.388) Prec@5 81.250 (81.138) Epoch: [47][6370/10010] Time 0.329 (0.327) Data 0.000 (0.001) Loss 1.8804 (1.7840) Prec@1 53.125 (59.386) Prec@5 79.688 (81.135) Epoch: [47][6380/10010] Time 0.329 (0.327) Data 0.001 (0.001) Loss 1.8892 (1.7839) Prec@1 63.281 (59.390) Prec@5 78.906 (81.137) Epoch: [47][6390/10010] Time 0.332 (0.327) Data 0.001 (0.001) Loss 1.6413 (1.7838) Prec@1 63.281 (59.393) Prec@5 81.250 (81.138) Epoch: [47][6400/10010] Time 0.312 (0.327) Data 0.001 (0.001) Loss 1.8682 (1.7838) Prec@1 57.812 (59.396) Prec@5 78.125 (81.139) Epoch: [47][6410/10010] Time 0.318 (0.327) Data 0.000 (0.001) Loss 1.7488 (1.7839) Prec@1 60.156 (59.394) Prec@5 79.688 (81.134) Epoch: [47][6420/10010] Time 0.327 (0.327) Data 0.001 (0.001) Loss 1.6920 (1.7839) Prec@1 64.844 (59.397) Prec@5 82.031 (81.135) Epoch: [47][6430/10010] Time 0.318 (0.327) Data 0.001 (0.001) Loss 1.8181 (1.7840) Prec@1 60.938 (59.397) Prec@5 79.688 (81.134) Epoch: [47][6440/10010] Time 0.318 (0.327) Data 0.000 (0.001) Loss 1.9929 (1.7841) Prec@1 53.906 (59.395) Prec@5 79.688 (81.133) Epoch: [47][6450/10010] Time 0.342 (0.327) Data 0.000 (0.001) Loss 2.1731 (1.7843) Prec@1 50.781 (59.390) Prec@5 78.125 (81.132) Epoch: [47][6460/10010] Time 0.321 (0.327) Data 0.001 (0.001) Loss 1.9094 (1.7845) Prec@1 57.031 (59.385) Prec@5 80.469 (81.128) Epoch: [47][6470/10010] Time 0.330 (0.327) Data 0.001 (0.001) Loss 1.9800 (1.7846) Prec@1 57.812 (59.381) Prec@5 76.562 (81.128) Epoch: [47][6480/10010] Time 0.322 (0.327) Data 0.001 (0.001) Loss 1.6775 (1.7847) Prec@1 61.719 (59.378) Prec@5 81.250 (81.126) Epoch: [47][6490/10010] Time 0.326 (0.327) Data 0.001 (0.001) Loss 1.8643 (1.7847) Prec@1 53.125 (59.376) Prec@5 81.250 (81.125) Epoch: [47][6500/10010] Time 0.309 (0.327) Data 0.001 (0.001) Loss 1.9454 (1.7849) Prec@1 53.906 (59.371) Prec@5 82.812 (81.123) Epoch: [47][6510/10010] Time 0.313 (0.327) Data 0.001 (0.001) Loss 1.6625 (1.7848) Prec@1 60.938 (59.373) Prec@5 82.812 (81.124) Epoch: [47][6520/10010] Time 0.335 (0.327) Data 0.001 (0.001) Loss 1.7276 (1.7850) Prec@1 58.594 (59.369) Prec@5 80.469 (81.122) Epoch: [47][6530/10010] Time 0.325 (0.327) Data 0.000 (0.001) Loss 1.6304 (1.7851) Prec@1 66.406 (59.369) Prec@5 85.156 (81.122) Epoch: [47][6540/10010] Time 0.315 (0.327) Data 0.000 (0.001) Loss 1.7498 (1.7851) Prec@1 56.250 (59.369) Prec@5 86.719 (81.121) Epoch: [47][6550/10010] Time 0.333 (0.327) Data 0.000 (0.001) Loss 1.6476 (1.7850) Prec@1 60.938 (59.368) Prec@5 82.031 (81.122) Epoch: [47][6560/10010] Time 0.322 (0.327) Data 0.001 (0.001) Loss 1.7835 (1.7851) Prec@1 57.812 (59.369) Prec@5 81.250 (81.121) Epoch: [47][6570/10010] Time 0.331 (0.327) Data 0.000 (0.001) Loss 1.5079 (1.7850) Prec@1 66.406 (59.369) Prec@5 85.938 (81.123) Epoch: [47][6580/10010] Time 0.319 (0.327) Data 0.001 (0.001) Loss 1.8979 (1.7849) Prec@1 60.156 (59.369) Prec@5 79.688 (81.124) Epoch: [47][6590/10010] Time 0.320 (0.327) Data 0.001 (0.001) Loss 1.9805 (1.7849) Prec@1 52.344 (59.368) Prec@5 78.906 (81.124) Epoch: [47][6600/10010] Time 0.323 (0.327) Data 0.000 (0.001) Loss 1.8860 (1.7848) Prec@1 56.250 (59.371) Prec@5 76.562 (81.125) Epoch: [47][6610/10010] Time 0.338 (0.327) Data 0.001 (0.001) Loss 2.0660 (1.7849) Prec@1 53.906 (59.369) Prec@5 76.562 (81.124) Epoch: [47][6620/10010] Time 0.326 (0.327) Data 0.000 (0.001) Loss 2.0181 (1.7849) Prec@1 50.781 (59.370) Prec@5 81.250 (81.123) Epoch: [47][6630/10010] Time 0.326 (0.327) Data 0.000 (0.001) Loss 1.9230 (1.7849) Prec@1 59.375 (59.371) Prec@5 78.906 (81.125) Epoch: [47][6640/10010] Time 0.316 (0.327) Data 0.001 (0.001) Loss 1.7239 (1.7849) Prec@1 65.625 (59.371) Prec@5 82.031 (81.124) Epoch: [47][6650/10010] Time 0.337 (0.327) Data 0.001 (0.001) Loss 1.5801 (1.7848) Prec@1 64.062 (59.374) Prec@5 82.812 (81.125) Epoch: [47][6660/10010] Time 0.336 (0.327) Data 0.000 (0.001) Loss 2.0996 (1.7849) Prec@1 54.688 (59.372) Prec@5 75.781 (81.123) Epoch: [47][6670/10010] Time 0.322 (0.327) Data 0.000 (0.001) Loss 2.0781 (1.7850) Prec@1 57.812 (59.370) Prec@5 72.656 (81.122) Epoch: [47][6680/10010] Time 0.313 (0.327) Data 0.001 (0.001) Loss 1.8784 (1.7850) Prec@1 57.812 (59.371) Prec@5 82.031 (81.123) Epoch: [47][6690/10010] Time 0.325 (0.327) Data 0.000 (0.001) Loss 1.9749 (1.7849) Prec@1 50.000 (59.372) Prec@5 79.688 (81.124) Epoch: [47][6700/10010] Time 0.338 (0.327) Data 0.000 (0.001) Loss 1.7791 (1.7850) Prec@1 57.031 (59.369) Prec@5 82.031 (81.123) Epoch: [47][6710/10010] Time 0.333 (0.327) Data 0.001 (0.001) Loss 1.7295 (1.7850) Prec@1 58.594 (59.372) Prec@5 82.812 (81.124) Epoch: [47][6720/10010] Time 0.340 (0.327) Data 0.001 (0.001) Loss 1.5007 (1.7849) Prec@1 65.625 (59.373) Prec@5 86.719 (81.126) Epoch: [47][6730/10010] Time 0.327 (0.327) Data 0.001 (0.001) Loss 1.9855 (1.7850) Prec@1 56.250 (59.371) Prec@5 82.031 (81.124) Epoch: [47][6740/10010] Time 0.338 (0.327) Data 0.000 (0.001) Loss 1.7575 (1.7850) Prec@1 56.250 (59.370) Prec@5 82.812 (81.125) Epoch: [47][6750/10010] Time 0.317 (0.327) Data 0.001 (0.001) Loss 1.6316 (1.7851) Prec@1 60.938 (59.369) Prec@5 83.594 (81.122) Epoch: [47][6760/10010] Time 0.323 (0.327) Data 0.001 (0.001) Loss 1.4990 (1.7851) Prec@1 67.188 (59.371) Prec@5 87.500 (81.123) Epoch: [47][6770/10010] Time 0.313 (0.327) Data 0.001 (0.001) Loss 1.9035 (1.7851) Prec@1 53.906 (59.369) Prec@5 79.688 (81.122) Epoch: [47][6780/10010] Time 0.337 (0.327) Data 0.001 (0.001) Loss 1.6154 (1.7851) Prec@1 64.844 (59.372) Prec@5 82.031 (81.122) Epoch: [47][6790/10010] Time 0.336 (0.327) Data 0.001 (0.001) Loss 1.7505 (1.7850) Prec@1 59.375 (59.372) Prec@5 82.031 (81.123) Epoch: [47][6800/10010] Time 0.335 (0.327) Data 0.001 (0.001) Loss 1.6635 (1.7850) Prec@1 65.625 (59.374) Prec@5 82.812 (81.123) Epoch: [47][6810/10010] Time 0.326 (0.327) Data 0.000 (0.001) Loss 1.5438 (1.7850) Prec@1 63.281 (59.373) Prec@5 89.062 (81.122) Epoch: [47][6820/10010] Time 0.331 (0.327) Data 0.001 (0.001) Loss 1.8483 (1.7852) Prec@1 57.812 (59.371) Prec@5 80.469 (81.120) Epoch: [47][6830/10010] Time 0.330 (0.327) Data 0.001 (0.001) Loss 1.8084 (1.7851) Prec@1 60.156 (59.371) Prec@5 85.156 (81.122) Epoch: [47][6840/10010] Time 0.337 (0.327) Data 0.000 (0.001) Loss 1.9105 (1.7851) Prec@1 61.719 (59.373) Prec@5 77.344 (81.122) Epoch: [47][6850/10010] Time 0.314 (0.327) Data 0.000 (0.001) Loss 1.8310 (1.7850) Prec@1 61.719 (59.375) Prec@5 82.031 (81.123) Epoch: [47][6860/10010] Time 0.330 (0.327) Data 0.001 (0.001) Loss 1.8032 (1.7852) Prec@1 61.719 (59.372) Prec@5 77.344 (81.121) Epoch: [47][6870/10010] Time 0.321 (0.327) Data 0.000 (0.001) Loss 2.0020 (1.7852) Prec@1 55.469 (59.370) Prec@5 76.562 (81.119) Epoch: [47][6880/10010] Time 0.336 (0.327) Data 0.000 (0.001) Loss 1.4803 (1.7851) Prec@1 63.281 (59.371) Prec@5 83.594 (81.119) Epoch: [47][6890/10010] Time 0.320 (0.327) Data 0.001 (0.001) Loss 1.7756 (1.7850) Prec@1 60.156 (59.375) Prec@5 82.812 (81.121) Epoch: [47][6900/10010] Time 0.336 (0.327) Data 0.000 (0.001) Loss 1.7742 (1.7849) Prec@1 54.688 (59.377) Prec@5 82.812 (81.123) Epoch: [47][6910/10010] Time 0.326 (0.327) Data 0.000 (0.001) Loss 2.0191 (1.7849) Prec@1 53.125 (59.377) Prec@5 78.906 (81.123) Epoch: [47][6920/10010] Time 0.329 (0.327) Data 0.000 (0.001) Loss 1.7861 (1.7848) Prec@1 60.156 (59.377) Prec@5 77.344 (81.124) Epoch: [47][6930/10010] Time 0.328 (0.327) Data 0.000 (0.001) Loss 1.5541 (1.7847) Prec@1 64.062 (59.381) Prec@5 86.719 (81.126) Epoch: [47][6940/10010] Time 0.320 (0.327) Data 0.001 (0.001) Loss 1.6663 (1.7846) Prec@1 64.062 (59.385) Prec@5 81.250 (81.127) Epoch: [47][6950/10010] Time 0.333 (0.327) Data 0.000 (0.001) Loss 1.8246 (1.7844) Prec@1 54.688 (59.387) Prec@5 78.906 (81.129) Epoch: [47][6960/10010] Time 0.307 (0.327) Data 0.001 (0.001) Loss 1.5613 (1.7845) Prec@1 64.062 (59.385) Prec@5 81.250 (81.127) Epoch: [47][6970/10010] Time 0.335 (0.327) Data 0.001 (0.001) Loss 1.7134 (1.7844) Prec@1 59.375 (59.384) Prec@5 82.812 (81.128) Epoch: [47][6980/10010] Time 0.326 (0.327) Data 0.001 (0.001) Loss 2.1867 (1.7845) Prec@1 56.250 (59.382) Prec@5 76.562 (81.129) Epoch: [47][6990/10010] Time 0.318 (0.327) Data 0.001 (0.001) Loss 1.9977 (1.7845) Prec@1 54.688 (59.383) Prec@5 77.344 (81.131) Epoch: [47][7000/10010] Time 0.321 (0.327) Data 0.001 (0.001) Loss 1.6126 (1.7845) Prec@1 61.719 (59.381) Prec@5 82.031 (81.131) Epoch: [47][7010/10010] Time 0.325 (0.327) Data 0.001 (0.001) Loss 2.0335 (1.7846) Prec@1 54.688 (59.379) Prec@5 76.562 (81.130) Epoch: [47][7020/10010] Time 0.338 (0.327) Data 0.000 (0.001) Loss 1.8143 (1.7845) Prec@1 56.250 (59.383) Prec@5 81.250 (81.132) Epoch: [47][7030/10010] Time 0.334 (0.327) Data 0.000 (0.001) Loss 2.1577 (1.7846) Prec@1 55.469 (59.379) Prec@5 75.000 (81.131) Epoch: [47][7040/10010] Time 0.316 (0.327) Data 0.001 (0.001) Loss 1.8742 (1.7848) Prec@1 60.156 (59.377) Prec@5 81.250 (81.129) Epoch: [47][7050/10010] Time 0.319 (0.327) Data 0.000 (0.001) Loss 1.7345 (1.7848) Prec@1 53.906 (59.376) Prec@5 78.906 (81.128) Epoch: [47][7060/10010] Time 0.327 (0.327) Data 0.001 (0.001) Loss 1.7987 (1.7849) Prec@1 60.938 (59.375) Prec@5 79.688 (81.127) Epoch: [47][7070/10010] Time 0.341 (0.327) Data 0.001 (0.001) Loss 1.6436 (1.7849) Prec@1 60.938 (59.373) Prec@5 85.938 (81.126) Epoch: [47][7080/10010] Time 0.329 (0.327) Data 0.001 (0.001) Loss 2.1342 (1.7848) Prec@1 51.562 (59.375) Prec@5 78.906 (81.127) Epoch: [47][7090/10010] Time 0.322 (0.327) Data 0.000 (0.001) Loss 1.6466 (1.7848) Prec@1 60.938 (59.375) Prec@5 83.594 (81.127) Epoch: [47][7100/10010] Time 0.318 (0.327) Data 0.001 (0.001) Loss 1.9543 (1.7849) Prec@1 58.594 (59.374) Prec@5 77.344 (81.126) Epoch: [47][7110/10010] Time 0.333 (0.327) Data 0.001 (0.001) Loss 1.8187 (1.7849) Prec@1 63.281 (59.374) Prec@5 80.469 (81.126) Epoch: [47][7120/10010] Time 0.311 (0.327) Data 0.000 (0.001) Loss 1.5971 (1.7850) Prec@1 59.375 (59.372) Prec@5 84.375 (81.126) Epoch: [47][7130/10010] Time 0.321 (0.327) Data 0.001 (0.001) Loss 2.0100 (1.7850) Prec@1 53.125 (59.371) Prec@5 78.125 (81.125) Epoch: [47][7140/10010] Time 0.323 (0.327) Data 0.001 (0.001) Loss 1.8744 (1.7850) Prec@1 61.719 (59.371) Prec@5 78.906 (81.125) Epoch: [47][7150/10010] Time 0.313 (0.327) Data 0.000 (0.001) Loss 1.7049 (1.7849) Prec@1 63.281 (59.374) Prec@5 82.812 (81.127) Epoch: [47][7160/10010] Time 0.335 (0.327) Data 0.000 (0.001) Loss 2.0238 (1.7849) Prec@1 50.781 (59.375) Prec@5 76.562 (81.129) Epoch: [47][7170/10010] Time 0.325 (0.327) Data 0.000 (0.001) Loss 1.9310 (1.7849) Prec@1 54.688 (59.377) Prec@5 82.812 (81.129) Epoch: [47][7180/10010] Time 0.320 (0.327) Data 0.000 (0.001) Loss 1.6485 (1.7849) Prec@1 59.375 (59.377) Prec@5 82.812 (81.127) Epoch: [47][7190/10010] Time 0.315 (0.327) Data 0.001 (0.001) Loss 1.7602 (1.7849) Prec@1 55.469 (59.373) Prec@5 85.156 (81.126) Epoch: [47][7200/10010] Time 0.336 (0.327) Data 0.000 (0.001) Loss 1.9798 (1.7849) Prec@1 59.375 (59.376) Prec@5 82.812 (81.128) Epoch: [47][7210/10010] Time 0.326 (0.327) Data 0.001 (0.001) Loss 1.4377 (1.7848) Prec@1 65.625 (59.376) Prec@5 85.156 (81.128) Epoch: [47][7220/10010] Time 0.328 (0.327) Data 0.001 (0.001) Loss 1.5788 (1.7849) Prec@1 60.938 (59.375) Prec@5 81.250 (81.126) Epoch: [47][7230/10010] Time 0.334 (0.327) Data 0.001 (0.001) Loss 1.5475 (1.7849) Prec@1 64.062 (59.375) Prec@5 82.812 (81.124) Epoch: [47][7240/10010] Time 0.345 (0.327) Data 0.000 (0.001) Loss 1.9221 (1.7851) Prec@1 55.469 (59.370) Prec@5 75.000 (81.121) Epoch: [47][7250/10010] Time 0.321 (0.327) Data 0.001 (0.001) Loss 1.5765 (1.7852) Prec@1 63.281 (59.368) Prec@5 85.156 (81.120) Epoch: [47][7260/10010] Time 0.318 (0.327) Data 0.001 (0.001) Loss 1.5682 (1.7851) Prec@1 65.625 (59.368) Prec@5 82.812 (81.121) Epoch: [47][7270/10010] Time 0.328 (0.327) Data 0.001 (0.001) Loss 1.6018 (1.7852) Prec@1 64.062 (59.367) Prec@5 84.375 (81.120) Epoch: [47][7280/10010] Time 0.323 (0.327) Data 0.001 (0.001) Loss 2.1149 (1.7853) Prec@1 55.469 (59.364) Prec@5 78.125 (81.118) Epoch: [47][7290/10010] Time 0.317 (0.327) Data 0.001 (0.001) Loss 1.5267 (1.7854) Prec@1 61.719 (59.362) Prec@5 86.719 (81.116) Epoch: [47][7300/10010] Time 0.333 (0.327) Data 0.001 (0.001) Loss 1.7963 (1.7855) Prec@1 60.156 (59.360) Prec@5 83.594 (81.116) Epoch: [47][7310/10010] Time 0.329 (0.327) Data 0.001 (0.001) Loss 1.7206 (1.7856) Prec@1 62.500 (59.359) Prec@5 84.375 (81.114) Epoch: [47][7320/10010] Time 0.326 (0.327) Data 0.001 (0.001) Loss 2.0166 (1.7857) Prec@1 53.906 (59.357) Prec@5 77.344 (81.112) Epoch: [47][7330/10010] Time 0.332 (0.327) Data 0.001 (0.001) Loss 1.7057 (1.7856) Prec@1 61.719 (59.359) Prec@5 85.938 (81.113) Epoch: [47][7340/10010] Time 0.318 (0.327) Data 0.001 (0.001) Loss 1.8848 (1.7856) Prec@1 55.469 (59.358) Prec@5 81.250 (81.113) Epoch: [47][7350/10010] Time 0.337 (0.327) Data 0.001 (0.001) Loss 1.9827 (1.7857) Prec@1 57.031 (59.355) Prec@5 76.562 (81.113) Epoch: [47][7360/10010] Time 0.339 (0.327) Data 0.001 (0.001) Loss 1.7875 (1.7857) Prec@1 57.812 (59.357) Prec@5 84.375 (81.113) Epoch: [47][7370/10010] Time 0.335 (0.327) Data 0.001 (0.001) Loss 2.1126 (1.7857) Prec@1 55.469 (59.355) Prec@5 75.000 (81.114) Epoch: [47][7380/10010] Time 0.340 (0.327) Data 0.001 (0.001) Loss 1.7108 (1.7858) Prec@1 60.938 (59.356) Prec@5 82.031 (81.114) Epoch: [47][7390/10010] Time 0.329 (0.327) Data 0.000 (0.001) Loss 1.9285 (1.7857) Prec@1 58.594 (59.357) Prec@5 82.031 (81.115) Epoch: [47][7400/10010] Time 0.338 (0.327) Data 0.000 (0.001) Loss 1.6724 (1.7857) Prec@1 64.062 (59.357) Prec@5 85.156 (81.116) Epoch: [47][7410/10010] Time 0.338 (0.327) Data 0.000 (0.001) Loss 1.9582 (1.7859) Prec@1 57.812 (59.353) Prec@5 79.688 (81.114) Epoch: [47][7420/10010] Time 0.325 (0.327) Data 0.001 (0.001) Loss 1.6428 (1.7859) Prec@1 60.938 (59.355) Prec@5 84.375 (81.115) Epoch: [47][7430/10010] Time 0.337 (0.327) Data 0.000 (0.001) Loss 1.8778 (1.7859) Prec@1 64.844 (59.357) Prec@5 80.469 (81.116) Epoch: [47][7440/10010] Time 0.316 (0.327) Data 0.001 (0.001) Loss 1.7636 (1.7859) Prec@1 53.906 (59.354) Prec@5 80.469 (81.115) Epoch: [47][7450/10010] Time 0.331 (0.327) Data 0.000 (0.001) Loss 1.7204 (1.7859) Prec@1 55.469 (59.355) Prec@5 82.812 (81.116) Epoch: [47][7460/10010] Time 0.323 (0.327) Data 0.001 (0.001) Loss 1.5983 (1.7860) Prec@1 60.938 (59.355) Prec@5 86.719 (81.114) Epoch: [47][7470/10010] Time 0.320 (0.327) Data 0.001 (0.001) Loss 1.7854 (1.7860) Prec@1 59.375 (59.353) Prec@5 78.906 (81.113) Epoch: [47][7480/10010] Time 0.321 (0.327) Data 0.001 (0.001) Loss 1.9263 (1.7859) Prec@1 54.688 (59.354) Prec@5 82.031 (81.114) Epoch: [47][7490/10010] Time 0.318 (0.327) Data 0.001 (0.001) Loss 1.6354 (1.7860) Prec@1 61.719 (59.352) Prec@5 83.594 (81.114) Epoch: [47][7500/10010] Time 0.342 (0.327) Data 0.000 (0.001) Loss 1.8562 (1.7860) Prec@1 57.812 (59.352) Prec@5 80.469 (81.115) Epoch: [47][7510/10010] Time 0.320 (0.327) Data 0.001 (0.001) Loss 1.8162 (1.7861) Prec@1 59.375 (59.352) Prec@5 82.031 (81.113) Epoch: [47][7520/10010] Time 0.326 (0.327) Data 0.000 (0.001) Loss 1.6204 (1.7862) Prec@1 64.844 (59.350) Prec@5 83.594 (81.112) Epoch: [47][7530/10010] Time 0.340 (0.327) Data 0.001 (0.001) Loss 1.4694 (1.7862) Prec@1 60.938 (59.350) Prec@5 89.062 (81.113) Epoch: [47][7540/10010] Time 0.330 (0.327) Data 0.001 (0.001) Loss 1.5540 (1.7860) Prec@1 59.375 (59.353) Prec@5 86.719 (81.115) Epoch: [47][7550/10010] Time 0.338 (0.327) Data 0.000 (0.001) Loss 1.5206 (1.7859) Prec@1 67.969 (59.354) Prec@5 82.031 (81.116) Epoch: [47][7560/10010] Time 0.339 (0.327) Data 0.001 (0.001) Loss 1.7223 (1.7859) Prec@1 67.188 (59.355) Prec@5 85.156 (81.117) Epoch: [47][7570/10010] Time 0.339 (0.327) Data 0.001 (0.001) Loss 1.7353 (1.7859) Prec@1 58.594 (59.354) Prec@5 82.031 (81.118) Epoch: [47][7580/10010] Time 0.327 (0.327) Data 0.001 (0.001) Loss 1.9164 (1.7859) Prec@1 56.250 (59.353) Prec@5 80.469 (81.116) Epoch: [47][7590/10010] Time 0.324 (0.327) Data 0.001 (0.001) Loss 2.0964 (1.7860) Prec@1 57.812 (59.352) Prec@5 78.125 (81.114) Epoch: [47][7600/10010] Time 0.317 (0.327) Data 0.001 (0.001) Loss 1.6077 (1.7859) Prec@1 62.500 (59.356) Prec@5 82.812 (81.116) Epoch: [47][7610/10010] Time 0.322 (0.327) Data 0.000 (0.001) Loss 2.0475 (1.7860) Prec@1 54.688 (59.353) Prec@5 76.562 (81.115) Epoch: [47][7620/10010] Time 0.327 (0.327) Data 0.001 (0.001) Loss 2.0289 (1.7861) Prec@1 53.125 (59.351) Prec@5 76.562 (81.114) Epoch: [47][7630/10010] Time 0.321 (0.327) Data 0.000 (0.001) Loss 1.8134 (1.7861) Prec@1 59.375 (59.348) Prec@5 83.594 (81.112) Epoch: [47][7640/10010] Time 0.332 (0.327) Data 0.001 (0.001) Loss 2.0630 (1.7861) Prec@1 56.250 (59.348) Prec@5 75.000 (81.112) Epoch: [47][7650/10010] Time 0.323 (0.327) Data 0.001 (0.001) Loss 2.0461 (1.7861) Prec@1 57.031 (59.348) Prec@5 72.656 (81.112) Epoch: [47][7660/10010] Time 0.330 (0.327) Data 0.000 (0.001) Loss 1.6204 (1.7861) Prec@1 67.188 (59.348) Prec@5 85.156 (81.110) Epoch: [47][7670/10010] Time 0.342 (0.327) Data 0.000 (0.001) Loss 1.8205 (1.7861) Prec@1 64.062 (59.351) Prec@5 80.469 (81.110) Epoch: [47][7680/10010] Time 0.317 (0.327) Data 0.000 (0.001) Loss 1.9510 (1.7861) Prec@1 57.812 (59.353) Prec@5 82.031 (81.109) Epoch: [47][7690/10010] Time 0.315 (0.327) Data 0.001 (0.001) Loss 1.7571 (1.7861) Prec@1 58.594 (59.350) Prec@5 82.031 (81.108) Epoch: [47][7700/10010] Time 0.322 (0.327) Data 0.000 (0.001) Loss 1.9136 (1.7861) Prec@1 54.688 (59.350) Prec@5 82.031 (81.109) Epoch: [47][7710/10010] Time 0.336 (0.327) Data 0.000 (0.001) Loss 1.6371 (1.7860) Prec@1 60.156 (59.351) Prec@5 85.938 (81.112) Epoch: [47][7720/10010] Time 0.324 (0.327) Data 0.001 (0.001) Loss 1.8393 (1.7861) Prec@1 64.062 (59.348) Prec@5 77.344 (81.108) Epoch: [47][7730/10010] Time 0.336 (0.327) Data 0.001 (0.001) Loss 2.2544 (1.7862) Prec@1 60.156 (59.346) Prec@5 70.312 (81.106) Epoch: [47][7740/10010] Time 0.327 (0.327) Data 0.000 (0.001) Loss 1.6398 (1.7862) Prec@1 64.844 (59.346) Prec@5 83.594 (81.107) Epoch: [47][7750/10010] Time 0.318 (0.327) Data 0.001 (0.001) Loss 1.9559 (1.7861) Prec@1 50.781 (59.346) Prec@5 78.125 (81.109) Epoch: [47][7760/10010] Time 0.320 (0.327) Data 0.001 (0.001) Loss 1.8859 (1.7861) Prec@1 50.781 (59.345) Prec@5 83.594 (81.110) Epoch: [47][7770/10010] Time 0.335 (0.327) Data 0.001 (0.001) Loss 2.3451 (1.7862) Prec@1 55.469 (59.343) Prec@5 75.000 (81.107) Epoch: [47][7780/10010] Time 0.324 (0.327) Data 0.001 (0.001) Loss 2.0092 (1.7863) Prec@1 57.812 (59.342) Prec@5 79.688 (81.107) Epoch: [47][7790/10010] Time 0.338 (0.327) Data 0.001 (0.001) Loss 1.9705 (1.7864) Prec@1 57.031 (59.341) Prec@5 79.688 (81.105) Epoch: [47][7800/10010] Time 0.341 (0.327) Data 0.000 (0.001) Loss 1.6997 (1.7864) Prec@1 60.156 (59.342) Prec@5 81.250 (81.105) Epoch: [47][7810/10010] Time 0.334 (0.327) Data 0.001 (0.001) Loss 1.8807 (1.7864) Prec@1 57.031 (59.342) Prec@5 78.906 (81.105) Epoch: [47][7820/10010] Time 0.337 (0.327) Data 0.001 (0.001) Loss 1.7744 (1.7864) Prec@1 53.906 (59.341) Prec@5 83.594 (81.105) Epoch: [47][7830/10010] Time 0.330 (0.327) Data 0.001 (0.001) Loss 1.6884 (1.7865) Prec@1 61.719 (59.340) Prec@5 81.250 (81.105) /data/vision/torralba/deepscene/lib/anaconda2/lib/python2.7/site-packages/PIL/TiffImagePlugin.py:692: UserWarning: Possibly corrupt EXIF data. Expecting to read 2555904 bytes but only got 0. Skipping tag 0 "Skipping tag %s" % (size, len(data), tag)) Epoch: [47][7840/10010] Time 0.333 (0.327) Data 0.000 (0.001) Loss 1.6985 (1.7864) Prec@1 57.031 (59.342) Prec@5 85.156 (81.105) Epoch: [47][7850/10010] Time 0.333 (0.327) Data 0.000 (0.001) Loss 1.7345 (1.7863) Prec@1 59.375 (59.343) Prec@5 81.250 (81.106) Epoch: [47][7860/10010] Time 0.328 (0.327) Data 0.001 (0.001) Loss 1.6507 (1.7864) Prec@1 61.719 (59.340) Prec@5 82.812 (81.104) Epoch: [47][7870/10010] Time 0.313 (0.327) Data 0.001 (0.001) Loss 1.9673 (1.7864) Prec@1 58.594 (59.340) Prec@5 79.688 (81.103) Epoch: [47][7880/10010] Time 0.343 (0.327) Data 0.000 (0.001) Loss 1.8534 (1.7865) Prec@1 59.375 (59.337) Prec@5 79.688 (81.103) Epoch: [47][7890/10010] Time 0.337 (0.327) Data 0.001 (0.001) Loss 1.9166 (1.7867) Prec@1 62.500 (59.334) Prec@5 79.688 (81.101) Epoch: [47][7900/10010] Time 0.315 (0.327) Data 0.001 (0.001) Loss 2.2854 (1.7867) Prec@1 53.125 (59.333) Prec@5 74.219 (81.102) Epoch: [47][7910/10010] Time 0.341 (0.327) Data 0.001 (0.001) Loss 2.0609 (1.7867) Prec@1 54.688 (59.332) Prec@5 75.781 (81.102) Epoch: [47][7920/10010] Time 0.339 (0.327) Data 0.000 (0.001) Loss 1.6521 (1.7866) Prec@1 60.938 (59.334) Prec@5 82.031 (81.103) Epoch: [47][7930/10010] Time 0.330 (0.327) Data 0.001 (0.001) Loss 1.5616 (1.7866) Prec@1 62.500 (59.334) Prec@5 84.375 (81.104) Epoch: [47][7940/10010] Time 0.318 (0.327) Data 0.000 (0.001) Loss 1.4288 (1.7865) Prec@1 62.500 (59.334) Prec@5 90.625 (81.107) Epoch: [47][7950/10010] Time 0.344 (0.327) Data 0.001 (0.001) Loss 1.8527 (1.7864) Prec@1 56.250 (59.335) Prec@5 76.562 (81.107) Epoch: [47][7960/10010] Time 0.319 (0.327) Data 0.001 (0.001) Loss 1.8825 (1.7865) Prec@1 56.250 (59.333) Prec@5 78.125 (81.105) Epoch: [47][7970/10010] Time 0.339 (0.327) Data 0.000 (0.001) Loss 1.7893 (1.7866) Prec@1 55.469 (59.330) Prec@5 79.688 (81.102) Epoch: [47][7980/10010] Time 0.336 (0.327) Data 0.001 (0.001) Loss 1.8583 (1.7866) Prec@1 62.500 (59.331) Prec@5 80.469 (81.102) Epoch: [47][7990/10010] Time 0.338 (0.327) Data 0.000 (0.001) Loss 1.5852 (1.7866) Prec@1 64.844 (59.331) Prec@5 86.719 (81.102) Epoch: [47][8000/10010] Time 0.311 (0.327) Data 0.001 (0.001) Loss 1.8345 (1.7867) Prec@1 56.250 (59.328) Prec@5 74.219 (81.101) Epoch: [47][8010/10010] Time 0.321 (0.327) Data 0.000 (0.001) Loss 1.8517 (1.7867) Prec@1 57.031 (59.326) Prec@5 81.250 (81.100) Epoch: [47][8020/10010] Time 0.338 (0.327) Data 0.001 (0.001) Loss 1.5907 (1.7866) Prec@1 63.281 (59.328) Prec@5 83.594 (81.103) Epoch: [47][8030/10010] Time 0.339 (0.327) Data 0.000 (0.001) Loss 1.8653 (1.7867) Prec@1 57.812 (59.327) Prec@5 77.344 (81.101) Epoch: [47][8040/10010] Time 0.320 (0.327) Data 0.001 (0.001) Loss 1.8648 (1.7868) Prec@1 60.938 (59.325) Prec@5 79.688 (81.100) Epoch: [47][8050/10010] Time 0.334 (0.327) Data 0.001 (0.001) Loss 1.5675 (1.7867) Prec@1 60.156 (59.326) Prec@5 89.062 (81.102) Epoch: [47][8060/10010] Time 0.325 (0.327) Data 0.001 (0.001) Loss 1.4438 (1.7867) Prec@1 57.812 (59.324) Prec@5 92.188 (81.103) Epoch: [47][8070/10010] Time 0.335 (0.327) Data 0.001 (0.001) Loss 1.5703 (1.7867) Prec@1 61.719 (59.325) Prec@5 83.594 (81.104) Epoch: [47][8080/10010] Time 0.329 (0.327) Data 0.001 (0.001) Loss 2.1824 (1.7867) Prec@1 51.562 (59.325) Prec@5 75.781 (81.104) Epoch: [47][8090/10010] Time 0.324 (0.327) Data 0.001 (0.001) Loss 2.3397 (1.7868) Prec@1 50.781 (59.322) Prec@5 74.219 (81.100) Epoch: [47][8100/10010] Time 0.339 (0.327) Data 0.001 (0.001) Loss 1.5247 (1.7869) Prec@1 57.812 (59.322) Prec@5 86.719 (81.099) Epoch: [47][8110/10010] Time 0.334 (0.327) Data 0.001 (0.001) Loss 1.8701 (1.7870) Prec@1 60.156 (59.321) Prec@5 81.250 (81.097) Epoch: [47][8120/10010] Time 0.320 (0.327) Data 0.001 (0.001) Loss 1.5567 (1.7870) Prec@1 64.844 (59.322) Prec@5 85.938 (81.098) Epoch: [47][8130/10010] Time 0.339 (0.327) Data 0.001 (0.001) Loss 1.9233 (1.7870) Prec@1 57.812 (59.323) Prec@5 79.688 (81.098) Epoch: [47][8140/10010] Time 0.340 (0.327) Data 0.000 (0.001) Loss 1.7137 (1.7870) Prec@1 55.469 (59.322) Prec@5 82.031 (81.099) Epoch: [47][8150/10010] Time 0.339 (0.327) Data 0.001 (0.001) Loss 1.8275 (1.7870) Prec@1 62.500 (59.322) Prec@5 81.250 (81.098) Epoch: [47][8160/10010] Time 0.321 (0.327) Data 0.000 (0.001) Loss 1.7363 (1.7870) Prec@1 56.250 (59.323) Prec@5 79.688 (81.098) Epoch: [47][8170/10010] Time 0.317 (0.327) Data 0.001 (0.001) Loss 1.9775 (1.7870) Prec@1 51.562 (59.322) Prec@5 81.250 (81.097) Epoch: [47][8180/10010] Time 0.328 (0.327) Data 0.001 (0.001) Loss 1.5759 (1.7869) Prec@1 60.938 (59.323) Prec@5 85.938 (81.099) Epoch: [47][8190/10010] Time 0.319 (0.327) Data 0.000 (0.001) Loss 1.8956 (1.7871) Prec@1 55.469 (59.319) Prec@5 79.688 (81.095) Epoch: [47][8200/10010] Time 0.322 (0.327) Data 0.001 (0.001) Loss 1.8607 (1.7871) Prec@1 60.156 (59.320) Prec@5 81.250 (81.094) Epoch: [47][8210/10010] Time 0.315 (0.327) Data 0.000 (0.001) Loss 2.1096 (1.7872) Prec@1 55.469 (59.319) Prec@5 71.875 (81.093) Epoch: [47][8220/10010] Time 0.332 (0.327) Data 0.001 (0.001) Loss 1.8821 (1.7872) Prec@1 58.594 (59.320) Prec@5 82.031 (81.094) Epoch: [47][8230/10010] Time 0.325 (0.327) Data 0.000 (0.001) Loss 2.0017 (1.7871) Prec@1 57.812 (59.321) Prec@5 79.688 (81.095) Epoch: [47][8240/10010] Time 0.326 (0.327) Data 0.000 (0.001) Loss 1.8456 (1.7872) Prec@1 57.812 (59.320) Prec@5 76.562 (81.094) Epoch: [47][8250/10010] Time 0.332 (0.327) Data 0.001 (0.001) Loss 1.6557 (1.7872) Prec@1 64.062 (59.319) Prec@5 82.812 (81.094) Epoch: [47][8260/10010] Time 0.341 (0.327) Data 0.000 (0.001) Loss 1.8497 (1.7871) Prec@1 57.031 (59.322) Prec@5 78.906 (81.096) Epoch: [47][8270/10010] Time 0.340 (0.327) Data 0.000 (0.001) Loss 1.5829 (1.7871) Prec@1 66.406 (59.322) Prec@5 83.594 (81.093) Epoch: [47][8280/10010] Time 0.316 (0.327) Data 0.001 (0.001) Loss 1.8116 (1.7871) Prec@1 55.469 (59.321) Prec@5 83.594 (81.094) Epoch: [47][8290/10010] Time 0.333 (0.327) Data 0.001 (0.001) Loss 1.8094 (1.7872) Prec@1 56.250 (59.319) Prec@5 79.688 (81.093) Epoch: [47][8300/10010] Time 0.320 (0.327) Data 0.000 (0.001) Loss 1.7591 (1.7872) Prec@1 60.938 (59.320) Prec@5 78.906 (81.093) Epoch: [47][8310/10010] Time 0.312 (0.327) Data 0.000 (0.001) Loss 1.7874 (1.7872) Prec@1 59.375 (59.318) Prec@5 83.594 (81.092) Epoch: [47][8320/10010] Time 0.322 (0.327) Data 0.001 (0.001) Loss 2.1220 (1.7872) Prec@1 53.125 (59.317) Prec@5 76.562 (81.091) Epoch: [47][8330/10010] Time 0.338 (0.327) Data 0.001 (0.001) Loss 1.6751 (1.7872) Prec@1 62.500 (59.317) Prec@5 83.594 (81.092) /data/vision/torralba/deepscene/lib/anaconda2/lib/python2.7/site-packages/PIL/TiffImagePlugin.py:692: UserWarning: Possibly corrupt EXIF data. Expecting to read 2555904 bytes but only got 0. Skipping tag 0 "Skipping tag %s" % (size, len(data), tag)) Epoch: [47][8340/10010] Time 0.333 (0.327) Data 0.000 (0.001) Loss 2.1039 (1.7872) Prec@1 57.812 (59.318) Prec@5 75.000 (81.091) Epoch: [47][8350/10010] Time 0.322 (0.327) Data 0.001 (0.001) Loss 2.0625 (1.7873) Prec@1 57.031 (59.314) Prec@5 78.906 (81.092) Epoch: [47][8360/10010] Time 0.317 (0.327) Data 0.001 (0.001) Loss 1.6161 (1.7874) Prec@1 62.500 (59.312) Prec@5 82.812 (81.090) Epoch: [47][8370/10010] Time 0.308 (0.327) Data 0.001 (0.001) Loss 1.8050 (1.7874) Prec@1 61.719 (59.310) Prec@5 78.906 (81.089) Epoch: [47][8380/10010] Time 0.333 (0.327) Data 0.001 (0.001) Loss 2.0143 (1.7873) Prec@1 49.219 (59.310) Prec@5 73.438 (81.091) Epoch: [47][8390/10010] Time 0.332 (0.327) Data 0.001 (0.001) Loss 2.2384 (1.7874) Prec@1 54.688 (59.309) Prec@5 71.875 (81.088) Epoch: [47][8400/10010] Time 0.346 (0.327) Data 0.000 (0.001) Loss 1.8116 (1.7875) Prec@1 57.812 (59.308) Prec@5 79.688 (81.090) Epoch: [47][8410/10010] Time 0.338 (0.327) Data 0.000 (0.001) Loss 1.8151 (1.7874) Prec@1 57.031 (59.307) Prec@5 81.250 (81.089) Epoch: [47][8420/10010] Time 0.330 (0.327) Data 0.001 (0.001) Loss 2.1273 (1.7876) Prec@1 52.344 (59.304) Prec@5 77.344 (81.088) Epoch: [47][8430/10010] Time 0.321 (0.327) Data 0.000 (0.001) Loss 1.6484 (1.7877) Prec@1 59.375 (59.302) Prec@5 84.375 (81.085) Epoch: [47][8440/10010] Time 0.322 (0.327) Data 0.001 (0.001) Loss 1.8371 (1.7877) Prec@1 56.250 (59.303) Prec@5 83.594 (81.085) Epoch: [47][8450/10010] Time 0.322 (0.327) Data 0.001 (0.001) Loss 1.9663 (1.7877) Prec@1 54.688 (59.302) Prec@5 78.906 (81.085) Epoch: [47][8460/10010] Time 0.314 (0.327) Data 0.001 (0.001) Loss 1.6599 (1.7877) Prec@1 60.156 (59.303) Prec@5 81.250 (81.085) Epoch: [47][8470/10010] Time 0.316 (0.327) Data 0.001 (0.001) Loss 1.8880 (1.7877) Prec@1 56.250 (59.300) Prec@5 80.469 (81.083) Epoch: [47][8480/10010] Time 0.321 (0.327) Data 0.001 (0.001) Loss 1.8155 (1.7878) Prec@1 58.594 (59.301) Prec@5 81.250 (81.082) Epoch: [47][8490/10010] Time 0.333 (0.327) Data 0.001 (0.001) Loss 2.0935 (1.7878) Prec@1 50.781 (59.300) Prec@5 78.125 (81.082) Epoch: [47][8500/10010] Time 0.324 (0.327) Data 0.000 (0.001) Loss 1.8061 (1.7880) Prec@1 53.906 (59.297) Prec@5 78.906 (81.079) Epoch: [47][8510/10010] Time 0.338 (0.327) Data 0.000 (0.001) Loss 1.7677 (1.7882) Prec@1 58.594 (59.294) Prec@5 80.469 (81.078) Epoch: [47][8520/10010] Time 0.319 (0.327) Data 0.001 (0.001) Loss 1.8873 (1.7881) Prec@1 60.938 (59.294) Prec@5 80.469 (81.078) Epoch: [47][8530/10010] Time 0.341 (0.327) Data 0.001 (0.001) Loss 1.5102 (1.7881) Prec@1 62.500 (59.294) Prec@5 86.719 (81.078) Epoch: [47][8540/10010] Time 0.341 (0.327) Data 0.001 (0.001) Loss 1.6430 (1.7879) Prec@1 60.156 (59.299) Prec@5 82.031 (81.080) Epoch: [47][8550/10010] Time 0.339 (0.327) Data 0.001 (0.001) Loss 1.8775 (1.7879) Prec@1 54.688 (59.299) Prec@5 77.344 (81.080) Epoch: [47][8560/10010] Time 0.329 (0.327) Data 0.000 (0.001) Loss 1.8836 (1.7879) Prec@1 55.469 (59.299) Prec@5 78.906 (81.081) Epoch: [47][8570/10010] Time 0.333 (0.327) Data 0.000 (0.001) Loss 1.9001 (1.7879) Prec@1 57.031 (59.300) Prec@5 78.906 (81.081) Epoch: [47][8580/10010] Time 0.331 (0.327) Data 0.001 (0.001) Loss 1.7831 (1.7879) Prec@1 59.375 (59.301) Prec@5 83.594 (81.083) Epoch: [47][8590/10010] Time 0.323 (0.327) Data 0.000 (0.001) Loss 2.0067 (1.7879) Prec@1 54.688 (59.302) Prec@5 76.562 (81.082) Epoch: [47][8600/10010] Time 0.312 (0.327) Data 0.001 (0.001) Loss 1.6723 (1.7878) Prec@1 59.375 (59.304) Prec@5 81.250 (81.080) Epoch: [47][8610/10010] Time 0.330 (0.327) Data 0.000 (0.001) Loss 1.6104 (1.7878) Prec@1 58.594 (59.303) Prec@5 83.594 (81.081) Epoch: [47][8620/10010] Time 0.324 (0.327) Data 0.001 (0.001) Loss 1.7258 (1.7878) Prec@1 57.812 (59.303) Prec@5 75.781 (81.080) Epoch: [47][8630/10010] Time 0.326 (0.327) Data 0.001 (0.001) Loss 1.6916 (1.7878) Prec@1 58.594 (59.304) Prec@5 82.031 (81.078) Epoch: [47][8640/10010] Time 0.334 (0.327) Data 0.000 (0.001) Loss 2.0068 (1.7878) Prec@1 54.688 (59.302) Prec@5 76.562 (81.077) Epoch: [47][8650/10010] Time 0.332 (0.327) Data 0.001 (0.001) Loss 1.8126 (1.7880) Prec@1 60.156 (59.301) Prec@5 85.156 (81.075) Epoch: [47][8660/10010] Time 0.323 (0.327) Data 0.001 (0.001) Loss 1.6933 (1.7881) Prec@1 63.281 (59.300) Prec@5 82.031 (81.073) Epoch: [47][8670/10010] Time 0.333 (0.327) Data 0.001 (0.001) Loss 1.6564 (1.7882) Prec@1 60.156 (59.299) Prec@5 80.469 (81.073) Epoch: [47][8680/10010] Time 0.328 (0.327) Data 0.001 (0.001) Loss 2.0224 (1.7882) Prec@1 55.469 (59.298) Prec@5 79.688 (81.073) Epoch: [47][8690/10010] Time 0.336 (0.327) Data 0.001 (0.001) Loss 1.6023 (1.7882) Prec@1 61.719 (59.299) Prec@5 84.375 (81.073) Epoch: [47][8700/10010] Time 0.325 (0.327) Data 0.001 (0.001) Loss 1.6752 (1.7883) Prec@1 57.812 (59.297) Prec@5 85.938 (81.072) Epoch: [47][8710/10010] Time 0.334 (0.327) Data 0.001 (0.001) Loss 1.7819 (1.7884) Prec@1 58.594 (59.296) Prec@5 82.031 (81.071) Epoch: [47][8720/10010] Time 0.319 (0.327) Data 0.001 (0.001) Loss 1.6430 (1.7884) Prec@1 59.375 (59.295) Prec@5 86.719 (81.073) Epoch: [47][8730/10010] Time 0.339 (0.327) Data 0.000 (0.001) Loss 1.5928 (1.7884) Prec@1 64.062 (59.295) Prec@5 85.938 (81.071) Epoch: [47][8740/10010] Time 0.334 (0.327) Data 0.000 (0.001) Loss 1.7582 (1.7884) Prec@1 63.281 (59.297) Prec@5 81.250 (81.071) Epoch: [47][8750/10010] Time 0.331 (0.327) Data 0.001 (0.001) Loss 1.5250 (1.7884) Prec@1 66.406 (59.296) Prec@5 82.812 (81.070) Epoch: [47][8760/10010] Time 0.334 (0.327) Data 0.001 (0.001) Loss 1.8286 (1.7885) Prec@1 59.375 (59.295) Prec@5 81.250 (81.070) Epoch: [47][8770/10010] Time 0.340 (0.327) Data 0.000 (0.001) Loss 1.7996 (1.7886) Prec@1 55.469 (59.293) Prec@5 80.469 (81.068) Epoch: [47][8780/10010] Time 0.317 (0.327) Data 0.001 (0.001) Loss 1.6372 (1.7885) Prec@1 61.719 (59.294) Prec@5 83.594 (81.068) Epoch: [47][8790/10010] Time 0.341 (0.327) Data 0.001 (0.001) Loss 2.1909 (1.7886) Prec@1 57.031 (59.294) Prec@5 77.344 (81.067) Epoch: [47][8800/10010] Time 0.335 (0.327) Data 0.001 (0.001) Loss 1.5840 (1.7885) Prec@1 66.406 (59.296) Prec@5 82.031 (81.067) Epoch: [47][8810/10010] Time 0.334 (0.327) Data 0.000 (0.001) Loss 1.9003 (1.7886) Prec@1 60.156 (59.295) Prec@5 79.688 (81.066) Epoch: [47][8820/10010] Time 0.341 (0.327) Data 0.001 (0.001) Loss 1.9088 (1.7887) Prec@1 59.375 (59.291) Prec@5 81.250 (81.065) Epoch: [47][8830/10010] Time 0.320 (0.327) Data 0.000 (0.001) Loss 1.5678 (1.7885) Prec@1 60.156 (59.293) Prec@5 83.594 (81.067) Epoch: [47][8840/10010] Time 0.338 (0.327) Data 0.001 (0.001) Loss 2.1520 (1.7886) Prec@1 53.906 (59.292) Prec@5 72.656 (81.065) Epoch: [47][8850/10010] Time 0.322 (0.327) Data 0.000 (0.001) Loss 2.0345 (1.7886) Prec@1 50.000 (59.291) Prec@5 78.906 (81.065) Epoch: [47][8860/10010] Time 0.331 (0.327) Data 0.001 (0.001) Loss 1.8408 (1.7886) Prec@1 55.469 (59.292) Prec@5 78.125 (81.067) Epoch: [47][8870/10010] Time 0.326 (0.327) Data 0.001 (0.001) Loss 1.7848 (1.7886) Prec@1 61.719 (59.294) Prec@5 79.688 (81.065) Epoch: [47][8880/10010] Time 0.316 (0.327) Data 0.001 (0.001) Loss 1.6756 (1.7884) Prec@1 64.844 (59.297) Prec@5 82.812 (81.068) Epoch: [47][8890/10010] Time 0.328 (0.327) Data 0.001 (0.001) Loss 1.7689 (1.7885) Prec@1 54.688 (59.295) Prec@5 82.031 (81.066) Epoch: [47][8900/10010] Time 0.334 (0.327) Data 0.000 (0.001) Loss 1.7473 (1.7885) Prec@1 64.844 (59.296) Prec@5 80.469 (81.066) Epoch: [47][8910/10010] Time 0.343 (0.327) Data 0.001 (0.001) Loss 1.9878 (1.7886) Prec@1 54.688 (59.294) Prec@5 78.125 (81.065) Epoch: [47][8920/10010] Time 0.314 (0.327) Data 0.001 (0.001) Loss 1.7979 (1.7886) Prec@1 61.719 (59.294) Prec@5 83.594 (81.065) Epoch: [47][8930/10010] Time 0.340 (0.327) Data 0.001 (0.001) Loss 1.7258 (1.7887) Prec@1 57.812 (59.292) Prec@5 82.031 (81.064) Epoch: [47][8940/10010] Time 0.338 (0.327) Data 0.001 (0.001) Loss 1.3756 (1.7887) Prec@1 68.750 (59.292) Prec@5 85.156 (81.064) Epoch: [47][8950/10010] Time 0.342 (0.327) Data 0.000 (0.001) Loss 1.8879 (1.7887) Prec@1 56.250 (59.290) Prec@5 82.812 (81.063) Epoch: [47][8960/10010] Time 0.335 (0.327) Data 0.001 (0.001) Loss 1.7842 (1.7886) Prec@1 57.812 (59.290) Prec@5 81.250 (81.065) Epoch: [47][8970/10010] Time 0.337 (0.327) Data 0.001 (0.001) Loss 1.7241 (1.7886) Prec@1 62.500 (59.291) Prec@5 81.250 (81.066) Epoch: [47][8980/10010] Time 0.342 (0.327) Data 0.001 (0.001) Loss 1.9745 (1.7886) Prec@1 56.250 (59.292) Prec@5 80.469 (81.068) Epoch: [47][8990/10010] Time 0.343 (0.327) Data 0.001 (0.001) Loss 1.8846 (1.7885) Prec@1 53.906 (59.293) Prec@5 82.812 (81.069) Epoch: [47][9000/10010] Time 0.311 (0.327) Data 0.001 (0.001) Loss 1.5469 (1.7884) Prec@1 64.844 (59.294) Prec@5 86.719 (81.072) Epoch: [47][9010/10010] Time 0.324 (0.327) Data 0.001 (0.001) Loss 1.9631 (1.7884) Prec@1 61.719 (59.292) Prec@5 79.688 (81.070) Epoch: [47][9020/10010] Time 0.315 (0.327) Data 0.000 (0.001) Loss 1.7786 (1.7885) Prec@1 58.594 (59.291) Prec@5 81.250 (81.070) Epoch: [47][9030/10010] Time 0.322 (0.327) Data 0.001 (0.001) Loss 2.0179 (1.7885) Prec@1 53.125 (59.290) Prec@5 79.688 (81.069) Epoch: [47][9040/10010] Time 0.331 (0.327) Data 0.001 (0.001) Loss 1.9269 (1.7885) Prec@1 57.812 (59.290) Prec@5 78.125 (81.068) Epoch: [47][9050/10010] Time 0.310 (0.327) Data 0.001 (0.001) Loss 2.0237 (1.7885) Prec@1 54.688 (59.292) Prec@5 78.125 (81.068) Epoch: [47][9060/10010] Time 0.334 (0.327) Data 0.001 (0.001) Loss 1.8340 (1.7886) Prec@1 63.281 (59.291) Prec@5 79.688 (81.066) Epoch: [47][9070/10010] Time 0.327 (0.327) Data 0.001 (0.001) Loss 1.8992 (1.7886) Prec@1 55.469 (59.290) Prec@5 77.344 (81.066) Epoch: [47][9080/10010] Time 0.323 (0.327) Data 0.000 (0.001) Loss 1.6384 (1.7886) Prec@1 63.281 (59.290) Prec@5 83.594 (81.068) Epoch: [47][9090/10010] Time 0.328 (0.327) Data 0.001 (0.001) Loss 1.7563 (1.7887) Prec@1 61.719 (59.289) Prec@5 82.031 (81.068) Epoch: [47][9100/10010] Time 0.336 (0.327) Data 0.000 (0.001) Loss 2.1334 (1.7888) Prec@1 54.688 (59.286) Prec@5 75.000 (81.066) Epoch: [47][9110/10010] Time 0.319 (0.327) Data 0.001 (0.001) Loss 1.9835 (1.7887) Prec@1 56.250 (59.287) Prec@5 75.000 (81.067) Epoch: [47][9120/10010] Time 0.325 (0.327) Data 0.001 (0.001) Loss 2.1069 (1.7888) Prec@1 52.344 (59.285) Prec@5 77.344 (81.066) Epoch: [47][9130/10010] Time 0.337 (0.327) Data 0.001 (0.001) Loss 1.9638 (1.7889) Prec@1 57.812 (59.284) Prec@5 78.906 (81.067) Epoch: [47][9140/10010] Time 0.320 (0.327) Data 0.000 (0.001) Loss 1.8569 (1.7890) Prec@1 55.469 (59.281) Prec@5 78.125 (81.065) Epoch: [47][9150/10010] Time 0.322 (0.327) Data 0.000 (0.001) Loss 1.5380 (1.7890) Prec@1 60.156 (59.282) Prec@5 84.375 (81.067) Epoch: [47][9160/10010] Time 0.329 (0.327) Data 0.001 (0.001) Loss 1.5469 (1.7890) Prec@1 64.062 (59.281) Prec@5 87.500 (81.066) Epoch: [47][9170/10010] Time 0.339 (0.327) Data 0.000 (0.001) Loss 1.7343 (1.7890) Prec@1 58.594 (59.280) Prec@5 78.125 (81.066) Epoch: [47][9180/10010] Time 0.314 (0.327) Data 0.001 (0.001) Loss 1.8209 (1.7891) Prec@1 60.938 (59.280) Prec@5 81.250 (81.066) Epoch: [47][9190/10010] Time 0.340 (0.327) Data 0.000 (0.001) Loss 1.8664 (1.7891) Prec@1 58.594 (59.279) Prec@5 78.906 (81.067) Epoch: [47][9200/10010] Time 0.320 (0.327) Data 0.001 (0.001) Loss 2.0181 (1.7890) Prec@1 53.125 (59.279) Prec@5 79.688 (81.066) Epoch: [47][9210/10010] Time 0.317 (0.327) Data 0.000 (0.001) Loss 1.7241 (1.7891) Prec@1 59.375 (59.277) Prec@5 84.375 (81.067) Epoch: [47][9220/10010] Time 0.335 (0.327) Data 0.000 (0.001) Loss 2.0228 (1.7891) Prec@1 50.000 (59.276) Prec@5 78.125 (81.067) Epoch: [47][9230/10010] Time 0.324 (0.327) Data 0.001 (0.001) Loss 1.9710 (1.7890) Prec@1 55.469 (59.279) Prec@5 80.469 (81.069) Epoch: [47][9240/10010] Time 0.321 (0.327) Data 0.001 (0.001) Loss 1.5529 (1.7890) Prec@1 65.625 (59.279) Prec@5 79.688 (81.069) Epoch: [47][9250/10010] Time 0.322 (0.327) Data 0.001 (0.001) Loss 1.9654 (1.7890) Prec@1 57.031 (59.278) Prec@5 77.344 (81.069) Epoch: [47][9260/10010] Time 0.321 (0.327) Data 0.000 (0.001) Loss 2.3023 (1.7891) Prec@1 53.125 (59.276) Prec@5 75.000 (81.068) Epoch: [47][9270/10010] Time 0.336 (0.327) Data 0.001 (0.001) Loss 1.8060 (1.7892) Prec@1 58.594 (59.276) Prec@5 78.906 (81.067) Epoch: [47][9280/10010] Time 0.314 (0.327) Data 0.000 (0.001) Loss 2.0211 (1.7892) Prec@1 57.031 (59.274) Prec@5 77.344 (81.067) Epoch: [47][9290/10010] Time 0.340 (0.327) Data 0.001 (0.001) Loss 1.9157 (1.7893) Prec@1 51.562 (59.270) Prec@5 76.562 (81.064) Epoch: [47][9300/10010] Time 0.329 (0.327) Data 0.000 (0.001) Loss 1.8643 (1.7894) Prec@1 65.625 (59.267) Prec@5 78.906 (81.063) Epoch: [47][9310/10010] Time 0.331 (0.327) Data 0.001 (0.001) Loss 1.7478 (1.7894) Prec@1 64.062 (59.269) Prec@5 78.906 (81.064) Epoch: [47][9320/10010] Time 0.336 (0.327) Data 0.001 (0.001) Loss 1.9418 (1.7895) Prec@1 59.375 (59.267) Prec@5 79.688 (81.063) Epoch: [47][9330/10010] Time 0.338 (0.327) Data 0.000 (0.001) Loss 1.7270 (1.7895) Prec@1 62.500 (59.267) Prec@5 85.156 (81.062) Epoch: [47][9340/10010] Time 0.334 (0.327) Data 0.001 (0.001) Loss 1.6037 (1.7895) Prec@1 59.375 (59.268) Prec@5 81.250 (81.064) Epoch: [47][9350/10010] Time 0.321 (0.327) Data 0.000 (0.001) Loss 1.5938 (1.7895) Prec@1 62.500 (59.267) Prec@5 82.812 (81.064) Epoch: [47][9360/10010] Time 0.317 (0.327) Data 0.000 (0.001) Loss 1.7898 (1.7895) Prec@1 55.469 (59.266) Prec@5 80.469 (81.064) Epoch: [47][9370/10010] Time 0.314 (0.327) Data 0.001 (0.001) Loss 1.5514 (1.7895) Prec@1 58.594 (59.265) Prec@5 87.500 (81.065) Epoch: [47][9380/10010] Time 0.331 (0.327) Data 0.000 (0.001) Loss 1.5708 (1.7895) Prec@1 63.281 (59.265) Prec@5 85.938 (81.066) Epoch: [47][9390/10010] Time 0.318 (0.327) Data 0.001 (0.001) Loss 1.8858 (1.7895) Prec@1 56.250 (59.267) Prec@5 78.906 (81.067) Epoch: [47][9400/10010] Time 0.320 (0.327) Data 0.001 (0.001) Loss 1.9526 (1.7896) Prec@1 50.000 (59.263) Prec@5 78.125 (81.066) Epoch: [47][9410/10010] Time 0.325 (0.327) Data 0.000 (0.001) Loss 1.7056 (1.7896) Prec@1 60.938 (59.264) Prec@5 81.250 (81.066) Epoch: [47][9420/10010] Time 0.314 (0.327) Data 0.001 (0.001) Loss 1.8914 (1.7895) Prec@1 61.719 (59.265) Prec@5 78.906 (81.066) Epoch: [47][9430/10010] Time 0.336 (0.327) Data 0.001 (0.001) Loss 1.6165 (1.7896) Prec@1 61.719 (59.264) Prec@5 81.250 (81.064) Epoch: [47][9440/10010] Time 0.323 (0.327) Data 0.001 (0.001) Loss 1.8818 (1.7896) Prec@1 58.594 (59.262) Prec@5 79.688 (81.063) Epoch: [47][9450/10010] Time 0.319 (0.327) Data 0.001 (0.001) Loss 1.5660 (1.7897) Prec@1 64.062 (59.262) Prec@5 86.719 (81.063) Epoch: [47][9460/10010] Time 0.311 (0.327) Data 0.001 (0.001) Loss 1.7435 (1.7897) Prec@1 63.281 (59.262) Prec@5 85.156 (81.062) Epoch: [47][9470/10010] Time 0.310 (0.327) Data 0.001 (0.001) Loss 1.7645 (1.7897) Prec@1 53.906 (59.261) Prec@5 80.469 (81.062) Epoch: [47][9480/10010] Time 0.334 (0.327) Data 0.000 (0.001) Loss 1.5221 (1.7897) Prec@1 61.719 (59.261) Prec@5 86.719 (81.061) Epoch: [47][9490/10010] Time 0.320 (0.327) Data 0.000 (0.001) Loss 1.7604 (1.7897) Prec@1 57.812 (59.263) Prec@5 78.906 (81.062) Epoch: [47][9500/10010] Time 0.331 (0.327) Data 0.000 (0.001) Loss 1.7663 (1.7896) Prec@1 59.375 (59.265) Prec@5 82.031 (81.061) Epoch: [47][9510/10010] Time 0.317 (0.327) Data 0.001 (0.001) Loss 1.4653 (1.7896) Prec@1 67.969 (59.265) Prec@5 82.031 (81.060) Epoch: [47][9520/10010] Time 0.339 (0.327) Data 0.001 (0.001) Loss 1.9558 (1.7896) Prec@1 51.562 (59.267) Prec@5 75.781 (81.062) Epoch: [47][9530/10010] Time 0.314 (0.327) Data 0.001 (0.001) Loss 1.4981 (1.7896) Prec@1 65.625 (59.266) Prec@5 86.719 (81.061) Epoch: [47][9540/10010] Time 0.321 (0.327) Data 0.000 (0.001) Loss 1.8252 (1.7896) Prec@1 55.469 (59.266) Prec@5 80.469 (81.061) Epoch: [47][9550/10010] Time 0.333 (0.327) Data 0.001 (0.001) Loss 1.8380 (1.7897) Prec@1 62.500 (59.264) Prec@5 84.375 (81.060) Epoch: [47][9560/10010] Time 0.314 (0.327) Data 0.000 (0.001) Loss 2.1923 (1.7897) Prec@1 50.781 (59.264) Prec@5 73.438 (81.060) Epoch: [47][9570/10010] Time 0.341 (0.327) Data 0.000 (0.001) Loss 1.8166 (1.7898) Prec@1 59.375 (59.262) Prec@5 76.562 (81.057) Epoch: [47][9580/10010] Time 0.326 (0.327) Data 0.001 (0.001) Loss 1.4669 (1.7898) Prec@1 69.531 (59.266) Prec@5 84.375 (81.056) Epoch: [47][9590/10010] Time 0.321 (0.327) Data 0.000 (0.001) Loss 1.9150 (1.7898) Prec@1 61.719 (59.267) Prec@5 82.812 (81.057) Epoch: [47][9600/10010] Time 0.329 (0.327) Data 0.000 (0.001) Loss 1.9716 (1.7898) Prec@1 51.562 (59.268) Prec@5 78.906 (81.058) Epoch: [47][9610/10010] Time 0.314 (0.327) Data 0.001 (0.001) Loss 1.6370 (1.7898) Prec@1 57.812 (59.269) Prec@5 85.156 (81.058) Epoch: [47][9620/10010] Time 0.320 (0.327) Data 0.001 (0.001) Loss 1.6169 (1.7897) Prec@1 62.500 (59.270) Prec@5 83.594 (81.059) Epoch: [47][9630/10010] Time 0.336 (0.327) Data 0.001 (0.001) Loss 1.8929 (1.7897) Prec@1 57.812 (59.269) Prec@5 76.562 (81.059) Epoch: [47][9640/10010] Time 0.311 (0.327) Data 0.001 (0.001) Loss 1.8257 (1.7897) Prec@1 57.812 (59.269) Prec@5 81.250 (81.058) Epoch: [47][9650/10010] Time 0.334 (0.327) Data 0.001 (0.001) Loss 1.5656 (1.7897) Prec@1 64.844 (59.271) Prec@5 84.375 (81.059) Epoch: [47][9660/10010] Time 0.323 (0.327) Data 0.000 (0.001) Loss 1.7424 (1.7897) Prec@1 58.594 (59.273) Prec@5 82.031 (81.061) Epoch: [47][9670/10010] Time 0.323 (0.327) Data 0.001 (0.001) Loss 1.8175 (1.7897) Prec@1 62.500 (59.272) Prec@5 80.469 (81.061) Epoch: [47][9680/10010] Time 0.312 (0.327) Data 0.001 (0.001) Loss 1.6287 (1.7896) Prec@1 60.938 (59.273) Prec@5 82.812 (81.062) Epoch: [47][9690/10010] Time 0.323 (0.327) Data 0.001 (0.001) Loss 2.0023 (1.7895) Prec@1 53.906 (59.276) Prec@5 76.562 (81.062) Epoch: [47][9700/10010] Time 0.322 (0.327) Data 0.000 (0.001) Loss 2.0293 (1.7895) Prec@1 54.688 (59.274) Prec@5 78.125 (81.061) Epoch: [47][9710/10010] Time 0.330 (0.327) Data 0.001 (0.001) Loss 1.8700 (1.7897) Prec@1 57.812 (59.271) Prec@5 78.906 (81.059) Epoch: [47][9720/10010] Time 0.334 (0.327) Data 0.001 (0.001) Loss 1.8347 (1.7897) Prec@1 57.812 (59.269) Prec@5 80.469 (81.059) Epoch: [47][9730/10010] Time 0.335 (0.327) Data 0.001 (0.001) Loss 1.5423 (1.7896) Prec@1 68.750 (59.271) Prec@5 85.156 (81.060) Epoch: [47][9740/10010] Time 0.333 (0.327) Data 0.000 (0.001) Loss 1.7584 (1.7896) Prec@1 63.281 (59.271) Prec@5 78.906 (81.061) Epoch: [47][9750/10010] Time 0.326 (0.327) Data 0.000 (0.001) Loss 1.7057 (1.7897) Prec@1 60.938 (59.270) Prec@5 82.031 (81.061) Epoch: [47][9760/10010] Time 0.325 (0.327) Data 0.001 (0.001) Loss 1.6895 (1.7897) Prec@1 62.500 (59.270) Prec@5 83.594 (81.060) Epoch: [47][9770/10010] Time 0.310 (0.327) Data 0.001 (0.001) Loss 1.7797 (1.7896) Prec@1 60.938 (59.274) Prec@5 80.469 (81.061) Epoch: [47][9780/10010] Time 0.324 (0.327) Data 0.001 (0.001) Loss 1.8937 (1.7897) Prec@1 57.812 (59.273) Prec@5 77.344 (81.058) Epoch: [47][9790/10010] Time 0.309 (0.327) Data 0.000 (0.001) Loss 1.3863 (1.7897) Prec@1 63.281 (59.274) Prec@5 87.500 (81.060) Epoch: [47][9800/10010] Time 0.320 (0.327) Data 0.001 (0.001) Loss 1.9426 (1.7899) Prec@1 54.688 (59.270) Prec@5 78.906 (81.057) Epoch: [47][9810/10010] Time 0.335 (0.327) Data 0.001 (0.001) Loss 1.5661 (1.7899) Prec@1 64.062 (59.270) Prec@5 85.938 (81.058) Epoch: [47][9820/10010] Time 0.337 (0.327) Data 0.000 (0.001) Loss 1.5200 (1.7899) Prec@1 66.406 (59.270) Prec@5 87.500 (81.058) Epoch: [47][9830/10010] Time 0.317 (0.327) Data 0.001 (0.001) Loss 1.7474 (1.7899) Prec@1 66.406 (59.271) Prec@5 79.688 (81.058) Epoch: [47][9840/10010] Time 0.321 (0.327) Data 0.001 (0.001) Loss 1.9792 (1.7899) Prec@1 60.938 (59.273) Prec@5 78.906 (81.059) Epoch: [47][9850/10010] Time 0.319 (0.327) Data 0.001 (0.001) Loss 1.9120 (1.7899) Prec@1 57.031 (59.272) Prec@5 75.781 (81.058) Epoch: [47][9860/10010] Time 0.322 (0.327) Data 0.000 (0.001) Loss 1.6358 (1.7898) Prec@1 64.844 (59.273) Prec@5 84.375 (81.057) Epoch: [47][9870/10010] Time 0.326 (0.327) Data 0.000 (0.001) Loss 1.9107 (1.7898) Prec@1 53.906 (59.274) Prec@5 78.906 (81.058) Epoch: [47][9880/10010] Time 0.332 (0.327) Data 0.001 (0.001) Loss 1.6934 (1.7898) Prec@1 62.500 (59.275) Prec@5 80.469 (81.058) Epoch: [47][9890/10010] Time 0.338 (0.327) Data 0.001 (0.001) Loss 1.6160 (1.7898) Prec@1 61.719 (59.275) Prec@5 84.375 (81.058) Epoch: [47][9900/10010] Time 0.313 (0.327) Data 0.000 (0.001) Loss 1.8878 (1.7899) Prec@1 58.594 (59.274) Prec@5 83.594 (81.056) Epoch: [47][9910/10010] Time 0.334 (0.327) Data 0.000 (0.001) Loss 1.6573 (1.7900) Prec@1 61.719 (59.274) Prec@5 82.812 (81.055) Epoch: [47][9920/10010] Time 0.319 (0.327) Data 0.001 (0.001) Loss 1.7929 (1.7900) Prec@1 61.719 (59.275) Prec@5 79.688 (81.055) Epoch: [47][9930/10010] Time 0.331 (0.327) Data 0.001 (0.001) Loss 1.6527 (1.7900) Prec@1 64.062 (59.274) Prec@5 86.719 (81.055) Epoch: [47][9940/10010] Time 0.338 (0.327) Data 0.001 (0.001) Loss 1.9438 (1.7901) Prec@1 54.688 (59.273) Prec@5 79.688 (81.053) Epoch: [47][9950/10010] Time 0.340 (0.327) Data 0.000 (0.001) Loss 1.7743 (1.7902) Prec@1 63.281 (59.271) Prec@5 85.938 (81.052) Epoch: [47][9960/10010] Time 0.334 (0.327) Data 0.001 (0.001) Loss 1.7516 (1.7902) Prec@1 57.031 (59.272) Prec@5 80.469 (81.053) Epoch: [47][9970/10010] Time 0.335 (0.327) Data 0.001 (0.001) Loss 1.5337 (1.7902) Prec@1 61.719 (59.272) Prec@5 84.375 (81.053) Epoch: [47][9980/10010] Time 0.334 (0.327) Data 0.001 (0.001) Loss 1.6496 (1.7901) Prec@1 63.281 (59.271) Prec@5 82.812 (81.054) Epoch: [47][9990/10010] Time 0.319 (0.327) Data 0.000 (0.001) Loss 2.1868 (1.7901) Prec@1 56.250 (59.271) Prec@5 78.125 (81.056) Epoch: [47][10000/10010] Time 0.332 (0.327) Data 0.000 (0.001) Loss 1.8168 (1.7901) Prec@1 59.375 (59.272) Prec@5 82.031 (81.055) Test: [0/391] Time 1.074 (1.074) Loss 0.8656 (0.8656) Prec@1 80.469 (80.469) Prec@5 92.188 (92.188) Test: [10/391] Time 0.111 (0.215) Loss 1.5383 (0.8515) Prec@1 67.969 (78.906) Prec@5 84.375 (93.182) Test: [20/391] Time 0.102 (0.163) Loss 1.3183 (1.2437) Prec@1 71.875 (70.833) Prec@5 85.156 (88.504) Test: [30/391] Time 0.103 (0.144) Loss 1.6172 (1.3848) Prec@1 67.969 (66.431) Prec@5 87.500 (87.399) Test: [40/391] Time 0.106 (0.135) Loss 1.3609 (1.2521) Prec@1 68.750 (69.245) Prec@5 86.719 (88.739) Test: [50/391] Time 0.104 (0.129) Loss 0.7057 (1.2910) Prec@1 83.594 (68.551) Prec@5 94.531 (88.297) Test: [60/391] Time 0.107 (0.126) Loss 1.0821 (1.2072) Prec@1 72.656 (70.543) Prec@5 91.406 (89.127) Test: [70/391] Time 0.101 (0.123) Loss 1.5107 (1.2203) Prec@1 60.938 (69.905) Prec@5 90.625 (89.338) Test: [80/391] Time 0.105 (0.121) Loss 1.0556 (1.2493) Prec@1 73.438 (68.509) Prec@5 93.750 (89.304) Test: [90/391] Time 0.115 (0.119) Loss 1.3955 (1.2549) Prec@1 57.031 (68.218) Prec@5 88.281 (89.320) Test: [100/391] Time 0.101 (0.118) Loss 1.0416 (1.2462) Prec@1 69.531 (67.907) Prec@5 93.750 (89.596) Test: [110/391] Time 0.102 (0.117) Loss 1.3659 (1.2434) Prec@1 51.562 (67.659) Prec@5 93.750 (89.816) Test: [120/391] Time 0.103 (0.116) Loss 1.1662 (1.2393) Prec@1 68.750 (67.872) Prec@5 92.188 (89.895) Test: [130/391] Time 0.118 (0.115) Loss 0.9667 (1.2272) Prec@1 80.469 (68.291) Prec@5 90.625 (90.017) Test: [140/391] Time 0.117 (0.115) Loss 1.6389 (1.2267) Prec@1 56.250 (68.251) Prec@5 86.719 (90.054) Test: [150/391] Time 0.100 (0.115) Loss 1.2138 (1.2307) Prec@1 61.719 (68.258) Prec@5 89.062 (89.927) Test: [160/391] Time 0.097 (0.114) Loss 1.1242 (1.2358) Prec@1 67.188 (68.231) Prec@5 93.750 (89.853) Test: [170/391] Time 0.108 (0.114) Loss 1.9480 (1.2684) Prec@1 46.875 (67.626) Prec@5 85.938 (89.437) Test: [180/391] Time 0.101 (0.113) Loss 2.2404 (1.2997) Prec@1 54.688 (67.011) Prec@5 79.688 (89.050) Test: [190/391] Time 0.107 (0.113) Loss 2.1288 (1.3333) Prec@1 55.469 (66.480) Prec@5 80.469 (88.592) Test: [200/391] Time 0.109 (0.113) Loss 1.6588 (1.3645) Prec@1 55.469 (65.870) Prec@5 84.375 (88.141) Test: [210/391] Time 0.104 (0.113) Loss 1.9117 (1.3856) Prec@1 56.250 (65.477) Prec@5 81.250 (87.885) Test: [220/391] Time 0.102 (0.113) Loss 0.8536 (1.3979) Prec@1 78.906 (65.346) Prec@5 89.844 (87.585) Test: [230/391] Time 0.105 (0.112) Loss 2.3937 (1.4159) Prec@1 42.188 (65.043) Prec@5 74.219 (87.324) Test: [240/391] Time 0.107 (0.112) Loss 1.8658 (1.4280) Prec@1 64.062 (64.928) Prec@5 80.469 (87.114) Test: [250/391] Time 0.110 (0.112) Loss 1.1833 (1.4495) Prec@1 71.094 (64.442) Prec@5 87.500 (86.834) Test: [260/391] Time 0.105 (0.112) Loss 1.7819 (1.4669) Prec@1 61.719 (64.116) Prec@5 78.906 (86.596) Test: [270/391] Time 0.103 (0.111) Loss 2.3399 (1.4816) Prec@1 40.625 (63.864) Prec@5 76.562 (86.341) Test: [280/391] Time 0.110 (0.111) Loss 1.7943 (1.4919) Prec@1 51.562 (63.729) Prec@5 87.500 (86.227) Test: [290/391] Time 0.107 (0.111) Loss 2.0768 (1.5013) Prec@1 46.094 (63.609) Prec@5 78.125 (86.018) Test: [300/391] Time 0.109 (0.111) Loss 1.7292 (1.5194) Prec@1 71.094 (63.357) Prec@5 85.156 (85.771) Test: [310/391] Time 0.104 (0.111) Loss 1.7422 (1.5297) Prec@1 63.281 (63.206) Prec@5 82.031 (85.611) Test: [320/391] Time 0.106 (0.111) Loss 1.1057 (1.5361) Prec@1 75.781 (63.116) Prec@5 90.625 (85.538) Test: [330/391] Time 0.106 (0.111) Loss 2.0291 (1.5572) Prec@1 55.469 (62.731) Prec@5 76.562 (85.218) Test: [340/391] Time 0.103 (0.111) Loss 1.4616 (1.5617) Prec@1 65.625 (62.640) Prec@5 89.062 (85.154) Test: [350/391] Time 0.108 (0.111) Loss 1.7234 (1.5650) Prec@1 62.500 (62.631) Prec@5 85.938 (85.087) Test: [360/391] Time 0.104 (0.111) Loss 1.4023 (1.5729) Prec@1 60.156 (62.468) Prec@5 88.281 (85.016) Test: [370/391] Time 0.106 (0.110) Loss 1.1317 (1.5656) Prec@1 65.625 (62.555) Prec@5 96.094 (85.142) Test: [380/391] Time 0.156 (0.111) Loss 0.8353 (1.5629) Prec@1 78.125 (62.564) Prec@5 95.312 (85.193) Test: [390/391] Time 0.073 (0.110) Loss 2.7203 (1.5559) Prec@1 30.000 (62.704) Prec@5 73.750 (85.280) * Prec@1 62.704 Prec@5 85.280 Epoch: [48][0/10010] Time 2.636 (2.636) Data 2.455 (2.455) Loss 1.5634 (1.5634) Prec@1 61.719 (61.719) Prec@5 83.594 (83.594) Epoch: [48][10/10010] Time 0.318 (0.529) Data 0.000 (0.224) Loss 1.6909 (1.6458) Prec@1 61.719 (62.429) Prec@5 79.688 (82.670) Epoch: [48][20/10010] Time 0.316 (0.428) Data 0.000 (0.118) Loss 1.8860 (1.7533) Prec@1 57.031 (60.045) Prec@5 79.688 (81.064) Epoch: [48][30/10010] Time 0.316 (0.392) Data 0.001 (0.080) Loss 1.6699 (1.7692) Prec@1 59.375 (59.425) Prec@5 82.812 (81.351) Epoch: [48][40/10010] Time 0.325 (0.375) Data 0.001 (0.061) Loss 1.7809 (1.7600) Prec@1 57.031 (59.642) Prec@5 80.469 (81.822) Epoch: [48][50/10010] Time 0.337 (0.366) Data 0.001 (0.049) Loss 1.6490 (1.7609) Prec@1 64.062 (59.957) Prec@5 82.812 (81.602) Epoch: [48][60/10010] Time 0.333 (0.360) Data 0.000 (0.041) Loss 1.6824 (1.7720) Prec@1 59.375 (59.682) Prec@5 82.812 (81.340) Epoch: [48][70/10010] Time 0.321 (0.356) Data 0.001 (0.035) Loss 1.6640 (1.7693) Prec@1 59.375 (59.606) Prec@5 82.031 (81.327) Epoch: [48][80/10010] Time 0.338 (0.353) Data 0.001 (0.031) Loss 1.8081 (1.7710) Prec@1 58.594 (59.703) Prec@5 78.906 (81.289) Epoch: [48][90/10010] Time 0.308 (0.350) Data 0.001 (0.028) Loss 1.6894 (1.7603) Prec@1 60.156 (60.002) Prec@5 82.812 (81.465) Epoch: [48][100/10010] Time 0.340 (0.348) Data 0.001 (0.025) Loss 1.7008 (1.7600) Prec@1 60.156 (59.932) Prec@5 81.250 (81.552) Epoch: [48][110/10010] Time 0.336 (0.347) Data 0.001 (0.023) Loss 1.4756 (1.7593) Prec@1 68.750 (59.868) Prec@5 82.812 (81.532) Epoch: [48][120/10010] Time 0.330 (0.346) Data 0.001 (0.021) Loss 2.1493 (1.7598) Prec@1 49.219 (59.917) Prec@5 73.438 (81.521) Epoch: [48][130/10010] Time 0.339 (0.345) Data 0.001 (0.019) Loss 1.8895 (1.7615) Prec@1 54.688 (59.870) Prec@5 76.562 (81.417) Epoch: [48][140/10010] Time 0.325 (0.344) Data 0.001 (0.018) Loss 1.6168 (1.7548) Prec@1 57.812 (59.968) Prec@5 84.375 (81.533) Epoch: [48][150/10010] Time 0.337 (0.343) Data 0.001 (0.017) Loss 1.6659 (1.7636) Prec@1 61.719 (59.742) Prec@5 79.688 (81.359) Epoch: [48][160/10010] Time 0.337 (0.342) Data 0.000 (0.016) Loss 1.8206 (1.7652) Prec@1 61.719 (59.792) Prec@5 83.594 (81.328) Epoch: [48][170/10010] Time 0.326 (0.341) Data 0.001 (0.015) Loss 1.4539 (1.7658) Prec@1 65.625 (59.786) Prec@5 89.062 (81.291) Epoch: [48][180/10010] Time 0.339 (0.341) Data 0.001 (0.014) Loss 1.6906 (1.7660) Prec@1 64.062 (59.811) Prec@5 81.250 (81.259) Epoch: [48][190/10010] Time 0.333 (0.340) Data 0.001 (0.014) Loss 1.7028 (1.7755) Prec@1 62.500 (59.670) Prec@5 85.938 (81.172) Epoch: [48][200/10010] Time 0.335 (0.340) Data 0.001 (0.013) Loss 1.8873 (1.7816) Prec@1 58.594 (59.593) Prec@5 78.125 (81.091) Epoch: [48][210/10010] Time 0.328 (0.339) Data 0.001 (0.012) Loss 1.5496 (1.7828) Prec@1 67.188 (59.575) Prec@5 82.031 (81.143) Epoch: [48][220/10010] Time 0.332 (0.338) Data 0.001 (0.012) Loss 1.5128 (1.7785) Prec@1 62.500 (59.647) Prec@5 86.719 (81.261) Epoch: [48][230/10010] Time 0.322 (0.338) Data 0.000 (0.011) Loss 1.5535 (1.7801) Prec@1 64.062 (59.706) Prec@5 85.938 (81.240) Epoch: [48][240/10010] Time 0.322 (0.337) Data 0.001 (0.011) Loss 1.5980 (1.7820) Prec@1 66.406 (59.638) Prec@5 85.156 (81.182) Epoch: [48][250/10010] Time 0.326 (0.337) Data 0.001 (0.010) Loss 1.7916 (1.7776) Prec@1 59.375 (59.745) Prec@5 78.906 (81.213) Epoch: [48][260/10010] Time 0.324 (0.337) Data 0.001 (0.010) Loss 1.8032 (1.7748) Prec@1 57.812 (59.752) Prec@5 82.031 (81.271) Epoch: [48][270/10010] Time 0.331 (0.336) Data 0.001 (0.010) Loss 1.8562 (1.7741) Prec@1 55.469 (59.825) Prec@5 82.031 (81.290) Epoch: [48][280/10010] Time 0.328 (0.336) Data 0.001 (0.009) Loss 1.9777 (1.7722) Prec@1 60.938 (59.837) Prec@5 78.906 (81.353) Epoch: [48][290/10010] Time 0.330 (0.336) Data 0.001 (0.009) Loss 1.4989 (1.7705) Prec@1 67.188 (59.794) Prec@5 85.156 (81.390) Epoch: [48][300/10010] Time 0.315 (0.336) Data 0.001 (0.009) Loss 1.8122 (1.7742) Prec@1 63.281 (59.780) Prec@5 82.031 (81.349) Epoch: [48][310/10010] Time 0.331 (0.335) Data 0.001 (0.009) Loss 1.7052 (1.7724) Prec@1 60.156 (59.797) Prec@5 78.906 (81.348) Epoch: [48][320/10010] Time 0.316 (0.335) Data 0.001 (0.008) Loss 1.7001 (1.7725) Prec@1 60.156 (59.769) Prec@5 80.469 (81.333) Epoch: [48][330/10010] Time 0.322 (0.335) Data 0.001 (0.008) Loss 1.3524 (1.7717) Prec@1 68.750 (59.767) Prec@5 85.156 (81.342) Epoch: [48][340/10010] Time 0.338 (0.334) Data 0.001 (0.008) Loss 1.6228 (1.7729) Prec@1 62.500 (59.746) Prec@5 82.812 (81.321) /data/vision/torralba/deepscene/lib/anaconda2/lib/python2.7/site-packages/PIL/TiffImagePlugin.py:692: UserWarning: Possibly corrupt EXIF data. Expecting to read 2555904 bytes but only got 0. Skipping tag 0 "Skipping tag %s" % (size, len(data), tag)) Epoch: [48][350/10010] Time 0.321 (0.334) Data 0.000 (0.008) Loss 1.6491 (1.7712) Prec@1 64.062 (59.760) Prec@5 83.594 (81.341) Epoch: [48][360/10010] Time 0.335 (0.334) Data 0.001 (0.007) Loss 1.5310 (1.7694) Prec@1 63.281 (59.778) Prec@5 85.938 (81.367) Epoch: [48][370/10010] Time 0.335 (0.334) Data 0.001 (0.007) Loss 1.5064 (1.7672) Prec@1 66.406 (59.853) Prec@5 85.938 (81.400) Epoch: [48][380/10010] Time 0.312 (0.334) Data 0.001 (0.007) Loss 1.6686 (1.7674) Prec@1 55.469 (59.826) Prec@5 83.594 (81.406) Epoch: [48][390/10010] Time 0.313 (0.333) Data 0.000 (0.007) Loss 1.7190 (1.7694) Prec@1 61.719 (59.777) Prec@5 83.594 (81.408) Epoch: [48][400/10010] Time 0.323 (0.333) Data 0.000 (0.007) Loss 1.5450 (1.7715) Prec@1 65.625 (59.745) Prec@5 84.375 (81.373) Epoch: [48][410/10010] Time 0.322 (0.333) Data 0.000 (0.007) Loss 1.7668 (1.7708) Prec@1 58.594 (59.772) Prec@5 80.469 (81.393) Epoch: [48][420/10010] Time 0.332 (0.333) Data 0.001 (0.007) Loss 1.6958 (1.7720) Prec@1 60.938 (59.724) Prec@5 82.812 (81.343) Epoch: [48][430/10010] Time 0.317 (0.333) Data 0.001 (0.006) Loss 1.7979 (1.7698) Prec@1 55.469 (59.739) Prec@5 82.812 (81.382) Epoch: [48][440/10010] Time 0.327 (0.332) Data 0.000 (0.006) Loss 1.6951 (1.7711) Prec@1 60.938 (59.743) Prec@5 85.938 (81.388) Epoch: [48][450/10010] Time 0.321 (0.332) Data 0.001 (0.006) Loss 2.0460 (1.7703) Prec@1 59.375 (59.773) Prec@5 79.688 (81.409) Epoch: [48][460/10010] Time 0.330 (0.332) Data 0.000 (0.006) Loss 1.8276 (1.7701) Prec@1 56.250 (59.766) Prec@5 79.688 (81.421) Epoch: [48][470/10010] Time 0.336 (0.332) Data 0.001 (0.006) Loss 1.6612 (1.7694) Prec@1 58.594 (59.775) Prec@5 82.812 (81.437) Epoch: [48][480/10010] Time 0.326 (0.332) Data 0.001 (0.006) Loss 1.6537 (1.7669) Prec@1 64.062 (59.779) Prec@5 82.812 (81.476) Epoch: [48][490/10010] Time 0.326 (0.332) Data 0.001 (0.006) Loss 1.7595 (1.7667) Prec@1 61.719 (59.774) Prec@5 81.250 (81.457) Epoch: [48][500/10010] Time 0.319 (0.332) Data 0.000 (0.006) Loss 1.5435 (1.7658) Prec@1 60.938 (59.768) Prec@5 84.375 (81.479) Epoch: [48][510/10010] Time 0.313 (0.332) Data 0.001 (0.005) Loss 1.3360 (1.7657) Prec@1 67.969 (59.754) Prec@5 87.500 (81.469) Epoch: [48][520/10010] Time 0.333 (0.331) Data 0.000 (0.005) Loss 1.6500 (1.7662) Prec@1 59.375 (59.702) Prec@5 80.469 (81.457) Epoch: [48][530/10010] Time 0.324 (0.331) Data 0.001 (0.005) Loss 1.8350 (1.7676) Prec@1 56.250 (59.669) Prec@5 80.469 (81.428) Epoch: [48][540/10010] Time 0.325 (0.331) Data 0.001 (0.005) Loss 1.6608 (1.7668) Prec@1 64.844 (59.696) Prec@5 83.594 (81.436) Epoch: [48][550/10010] Time 0.318 (0.331) Data 0.001 (0.005) Loss 1.6313 (1.7667) Prec@1 60.938 (59.677) Prec@5 85.938 (81.441) Epoch: [48][560/10010] Time 0.332 (0.331) Data 0.001 (0.005) Loss 1.5985 (1.7690) Prec@1 60.938 (59.620) Prec@5 82.812 (81.391) Epoch: [48][570/10010] Time 0.340 (0.331) Data 0.000 (0.005) Loss 1.7651 (1.7687) Prec@1 63.281 (59.640) Prec@5 81.250 (81.384) Epoch: [48][580/10010] Time 0.335 (0.331) Data 0.001 (0.005) Loss 1.8967 (1.7685) Prec@1 55.469 (59.635) Prec@5 76.562 (81.379) Epoch: [48][590/10010] Time 0.320 (0.331) Data 0.001 (0.005) Loss 1.6577 (1.7682) Prec@1 61.719 (59.655) Prec@5 83.594 (81.378) Epoch: [48][600/10010] Time 0.333 (0.331) Data 0.001 (0.005) Loss 1.7012 (1.7666) Prec@1 62.500 (59.678) Prec@5 85.156 (81.414) Epoch: [48][610/10010] Time 0.320 (0.331) Data 0.001 (0.005) Loss 1.5822 (1.7685) Prec@1 62.500 (59.628) Prec@5 84.375 (81.405) Epoch: [48][620/10010] Time 0.334 (0.331) Data 0.001 (0.005) Loss 1.6396 (1.7703) Prec@1 64.062 (59.609) Prec@5 80.469 (81.370) Epoch: [48][630/10010] Time 0.335 (0.331) Data 0.001 (0.005) Loss 1.6956 (1.7706) Prec@1 62.500 (59.630) Prec@5 85.156 (81.380) Epoch: [48][640/10010] Time 0.335 (0.331) Data 0.001 (0.005) Loss 1.9559 (1.7713) Prec@1 53.906 (59.630) Prec@5 75.781 (81.354) Epoch: [48][650/10010] Time 0.328 (0.331) Data 0.001 (0.004) Loss 1.6939 (1.7714) Prec@1 62.500 (59.633) Prec@5 80.469 (81.348) Epoch: [48][660/10010] Time 0.334 (0.331) Data 0.001 (0.004) Loss 1.8109 (1.7713) Prec@1 57.031 (59.648) Prec@5 82.812 (81.350) Epoch: [48][670/10010] Time 0.339 (0.331) Data 0.001 (0.004) Loss 1.8636 (1.7712) Prec@1 50.781 (59.635) Prec@5 82.031 (81.349) Epoch: [48][680/10010] Time 0.317 (0.331) Data 0.000 (0.004) Loss 1.6412 (1.7708) Prec@1 61.719 (59.634) Prec@5 85.156 (81.367) Epoch: [48][690/10010] Time 0.338 (0.331) Data 0.001 (0.004) Loss 1.6507 (1.7701) Prec@1 61.719 (59.669) Prec@5 82.812 (81.365) Epoch: [48][700/10010] Time 0.323 (0.331) Data 0.000 (0.004) Loss 1.8079 (1.7705) Prec@1 58.594 (59.653) Prec@5 80.469 (81.363) Epoch: [48][710/10010] Time 0.313 (0.331) Data 0.001 (0.004) Loss 1.6023 (1.7707) Prec@1 60.938 (59.635) Prec@5 85.156 (81.348) Epoch: [48][720/10010] Time 0.331 (0.330) Data 0.001 (0.004) Loss 1.8224 (1.7718) Prec@1 59.375 (59.618) Prec@5 78.906 (81.333) Epoch: [48][730/10010] Time 0.334 (0.331) Data 0.001 (0.004) Loss 1.8921 (1.7736) Prec@1 57.812 (59.591) Prec@5 79.688 (81.308) Epoch: [48][740/10010] Time 0.319 (0.330) Data 0.001 (0.004) Loss 1.8106 (1.7750) Prec@1 57.812 (59.566) Prec@5 78.125 (81.283) Epoch: [48][750/10010] Time 0.324 (0.330) Data 0.000 (0.004) Loss 1.7066 (1.7752) Prec@1 60.156 (59.564) Prec@5 85.156 (81.288) Epoch: [48][760/10010] Time 0.331 (0.330) Data 0.001 (0.004) Loss 1.7530 (1.7759) Prec@1 66.406 (59.557) Prec@5 82.812 (81.274) Epoch: [48][770/10010] Time 0.338 (0.330) Data 0.001 (0.004) Loss 1.6529 (1.7763) Prec@1 60.156 (59.554) Prec@5 87.500 (81.268) Epoch: [48][780/10010] Time 0.319 (0.330) Data 0.001 (0.004) Loss 1.9212 (1.7756) Prec@1 59.375 (59.570) Prec@5 81.250 (81.293) Epoch: [48][790/10010] Time 0.339 (0.330) Data 0.001 (0.004) Loss 1.5323 (1.7747) Prec@1 63.281 (59.595) Prec@5 83.594 (81.292) Epoch: [48][800/10010] Time 0.330 (0.330) Data 0.001 (0.004) Loss 1.9155 (1.7746) Prec@1 54.688 (59.561) Prec@5 79.688 (81.294) Epoch: [48][810/10010] Time 0.337 (0.330) Data 0.001 (0.004) Loss 1.7113 (1.7747) Prec@1 64.062 (59.551) Prec@5 82.812 (81.294) Epoch: [48][820/10010] Time 0.317 (0.330) Data 0.001 (0.004) Loss 1.7392 (1.7732) Prec@1 60.156 (59.591) Prec@5 85.156 (81.319) Epoch: [48][830/10010] Time 0.316 (0.330) Data 0.000 (0.004) Loss 1.6961 (1.7723) Prec@1 54.688 (59.588) Prec@5 81.250 (81.331) Epoch: [48][840/10010] Time 0.342 (0.330) Data 0.000 (0.004) Loss 1.6547 (1.7714) Prec@1 61.719 (59.600) Prec@5 82.812 (81.338) Epoch: [48][850/10010] Time 0.324 (0.330) Data 0.000 (0.004) Loss 1.5456 (1.7698) Prec@1 64.844 (59.629) Prec@5 81.250 (81.354) Epoch: [48][860/10010] Time 0.334 (0.330) Data 0.001 (0.004) Loss 2.0940 (1.7699) Prec@1 53.906 (59.599) Prec@5 73.438 (81.367) Epoch: [48][870/10010] Time 0.318 (0.330) Data 0.000 (0.003) Loss 1.8260 (1.7702) Prec@1 58.594 (59.596) Prec@5 81.250 (81.356) Epoch: [48][880/10010] Time 0.339 (0.330) Data 0.001 (0.003) Loss 1.2939 (1.7700) Prec@1 68.750 (59.617) Prec@5 86.719 (81.364) Epoch: [48][890/10010] Time 0.318 (0.330) Data 0.001 (0.003) Loss 1.7552 (1.7707) Prec@1 60.938 (59.607) Prec@5 82.031 (81.349) Epoch: [48][900/10010] Time 0.337 (0.330) Data 0.001 (0.003) Loss 1.8687 (1.7707) Prec@1 56.250 (59.605) Prec@5 79.688 (81.342) Epoch: [48][910/10010] Time 0.332 (0.330) Data 0.001 (0.003) Loss 1.8807 (1.7702) Prec@1 56.250 (59.603) Prec@5 79.688 (81.337) Epoch: [48][920/10010] Time 0.329 (0.330) Data 0.001 (0.003) Loss 2.1392 (1.7713) Prec@1 47.656 (59.573) Prec@5 77.344 (81.323) Epoch: [48][930/10010] Time 0.312 (0.330) Data 0.001 (0.003) Loss 1.7868 (1.7723) Prec@1 63.281 (59.564) Prec@5 78.125 (81.302) Epoch: [48][940/10010] Time 0.327 (0.330) Data 0.000 (0.003) Loss 1.6052 (1.7714) Prec@1 62.500 (59.581) Prec@5 85.156 (81.318) Epoch: [48][950/10010] Time 0.333 (0.330) Data 0.001 (0.003) Loss 1.6083 (1.7720) Prec@1 64.062 (59.571) Prec@5 83.594 (81.308) Epoch: [48][960/10010] Time 0.342 (0.330) Data 0.001 (0.003) Loss 1.9162 (1.7721) Prec@1 53.906 (59.557) Prec@5 77.344 (81.309) Epoch: [48][970/10010] Time 0.339 (0.330) Data 0.001 (0.003) Loss 1.8462 (1.7711) Prec@1 64.062 (59.566) Prec@5 79.688 (81.336) Epoch: [48][980/10010] Time 0.319 (0.330) Data 0.001 (0.003) Loss 2.3992 (1.7722) Prec@1 46.094 (59.556) Prec@5 71.875 (81.314) Epoch: [48][990/10010] Time 0.334 (0.330) Data 0.000 (0.003) Loss 1.7699 (1.7722) Prec@1 60.156 (59.565) Prec@5 82.031 (81.309) Epoch: [48][1000/10010] Time 0.326 (0.330) Data 0.001 (0.003) Loss 1.9457 (1.7719) Prec@1 53.906 (59.576) Prec@5 77.344 (81.318) Epoch: [48][1010/10010] Time 0.338 (0.330) Data 0.001 (0.003) Loss 1.7581 (1.7721) Prec@1 57.812 (59.569) Prec@5 82.031 (81.309) Epoch: [48][1020/10010] Time 0.313 (0.330) Data 0.001 (0.003) Loss 1.7177 (1.7720) Prec@1 57.031 (59.564) Prec@5 80.469 (81.312) Epoch: [48][1030/10010] Time 0.341 (0.330) Data 0.001 (0.003) Loss 1.5027 (1.7716) Prec@1 60.938 (59.573) Prec@5 84.375 (81.309) Epoch: [48][1040/10010] Time 0.322 (0.330) Data 0.001 (0.003) Loss 1.6855 (1.7711) Prec@1 58.594 (59.564) Prec@5 85.156 (81.321) Epoch: [48][1050/10010] Time 0.335 (0.330) Data 0.001 (0.003) Loss 2.2494 (1.7713) Prec@1 42.969 (59.553) Prec@5 76.562 (81.327) Epoch: [48][1060/10010] Time 0.331 (0.330) Data 0.001 (0.003) Loss 1.8566 (1.7712) Prec@1 53.906 (59.545) Prec@5 78.125 (81.332) Epoch: [48][1070/10010] Time 0.340 (0.330) Data 0.001 (0.003) Loss 1.7526 (1.7711) Prec@1 61.719 (59.549) Prec@5 78.906 (81.325) Epoch: [48][1080/10010] Time 0.334 (0.330) Data 0.001 (0.003) Loss 1.5684 (1.7716) Prec@1 59.375 (59.538) Prec@5 84.375 (81.319) Epoch: [48][1090/10010] Time 0.339 (0.330) Data 0.001 (0.003) Loss 1.7175 (1.7710) Prec@1 60.938 (59.548) Prec@5 82.031 (81.321) Epoch: [48][1100/10010] Time 0.320 (0.330) Data 0.001 (0.003) Loss 1.6045 (1.7710) Prec@1 67.188 (59.555) Prec@5 82.031 (81.323) Epoch: [48][1110/10010] Time 0.338 (0.330) Data 0.001 (0.003) Loss 1.9883 (1.7706) Prec@1 60.156 (59.545) Prec@5 78.906 (81.345) Epoch: [48][1120/10010] Time 0.338 (0.330) Data 0.000 (0.003) Loss 1.6871 (1.7702) Prec@1 62.500 (59.572) Prec@5 79.688 (81.344) Epoch: [48][1130/10010] Time 0.320 (0.330) Data 0.000 (0.003) Loss 1.7902 (1.7701) Prec@1 59.375 (59.570) Prec@5 84.375 (81.353) Epoch: [48][1140/10010] Time 0.339 (0.330) Data 0.001 (0.003) Loss 1.5384 (1.7697) Prec@1 63.281 (59.563) Prec@5 83.594 (81.357) Epoch: [48][1150/10010] Time 0.332 (0.330) Data 0.000 (0.003) Loss 1.8207 (1.7689) Prec@1 58.594 (59.575) Prec@5 80.469 (81.362) Epoch: [48][1160/10010] Time 0.335 (0.330) Data 0.000 (0.003) Loss 1.6207 (1.7696) Prec@1 60.156 (59.567) Prec@5 82.031 (81.344) Epoch: [48][1170/10010] Time 0.337 (0.330) Data 0.001 (0.003) Loss 1.6917 (1.7694) Prec@1 60.156 (59.566) Prec@5 83.594 (81.355) Epoch: [48][1180/10010] Time 0.314 (0.330) Data 0.000 (0.003) Loss 1.5622 (1.7690) Prec@1 65.625 (59.589) Prec@5 84.375 (81.360) Epoch: [48][1190/10010] Time 0.326 (0.330) Data 0.000 (0.003) Loss 1.7684 (1.7687) Prec@1 60.938 (59.601) Prec@5 82.812 (81.371) Epoch: [48][1200/10010] Time 0.328 (0.330) Data 0.000 (0.003) Loss 1.8959 (1.7688) Prec@1 52.344 (59.586) Prec@5 80.469 (81.377) Epoch: [48][1210/10010] Time 0.338 (0.330) Data 0.000 (0.003) Loss 1.7661 (1.7688) Prec@1 59.375 (59.586) Prec@5 81.250 (81.382) Epoch: [48][1220/10010] Time 0.320 (0.330) Data 0.000 (0.003) Loss 1.8190 (1.7687) Prec@1 66.406 (59.602) Prec@5 81.250 (81.385) Epoch: [48][1230/10010] Time 0.317 (0.330) Data 0.001 (0.003) Loss 1.9069 (1.7693) Prec@1 57.031 (59.593) Prec@5 78.906 (81.383) Epoch: [48][1240/10010] Time 0.321 (0.330) Data 0.001 (0.003) Loss 1.8486 (1.7690) Prec@1 53.906 (59.588) Prec@5 81.250 (81.378) Epoch: [48][1250/10010] Time 0.313 (0.330) Data 0.001 (0.003) Loss 1.5490 (1.7687) Prec@1 66.406 (59.597) Prec@5 86.719 (81.385) Epoch: [48][1260/10010] Time 0.316 (0.330) Data 0.001 (0.003) Loss 1.9212 (1.7692) Prec@1 58.594 (59.583) Prec@5 82.812 (81.376) Epoch: [48][1270/10010] Time 0.317 (0.330) Data 0.001 (0.003) Loss 1.6377 (1.7685) Prec@1 63.281 (59.594) Prec@5 83.594 (81.388) Epoch: [48][1280/10010] Time 0.330 (0.330) Data 0.001 (0.003) Loss 1.8387 (1.7687) Prec@1 59.375 (59.591) Prec@5 81.250 (81.386) Epoch: [48][1290/10010] Time 0.332 (0.330) Data 0.001 (0.003) Loss 1.4475 (1.7681) Prec@1 65.625 (59.600) Prec@5 87.500 (81.396) Epoch: [48][1300/10010] Time 0.339 (0.330) Data 0.001 (0.003) Loss 1.7245 (1.7685) Prec@1 53.906 (59.603) Prec@5 84.375 (81.391) Epoch: [48][1310/10010] Time 0.337 (0.330) Data 0.000 (0.003) Loss 1.9673 (1.7684) Prec@1 56.250 (59.612) Prec@5 75.000 (81.386) Epoch: [48][1320/10010] Time 0.326 (0.330) Data 0.001 (0.003) Loss 1.7331 (1.7690) Prec@1 63.281 (59.602) Prec@5 84.375 (81.381) Epoch: [48][1330/10010] Time 0.316 (0.330) Data 0.001 (0.003) Loss 2.0371 (1.7690) Prec@1 57.812 (59.599) Prec@5 76.562 (81.382) Epoch: [48][1340/10010] Time 0.326 (0.330) Data 0.001 (0.003) Loss 1.4700 (1.7687) Prec@1 65.625 (59.615) Prec@5 83.594 (81.379) Epoch: [48][1350/10010] Time 0.339 (0.330) Data 0.000 (0.002) Loss 1.6855 (1.7688) Prec@1 60.156 (59.624) Prec@5 78.906 (81.375) Epoch: [48][1360/10010] Time 0.330 (0.330) Data 0.001 (0.002) Loss 1.5433 (1.7686) Prec@1 61.719 (59.629) Prec@5 86.719 (81.374) Epoch: [48][1370/10010] Time 0.339 (0.330) Data 0.000 (0.002) Loss 2.1053 (1.7686) Prec@1 48.438 (59.646) Prec@5 76.562 (81.370) Epoch: [48][1380/10010] Time 0.327 (0.330) Data 0.000 (0.002) Loss 1.7740 (1.7684) Prec@1 59.375 (59.654) Prec@5 80.469 (81.368) Epoch: [48][1390/10010] Time 0.322 (0.330) Data 0.001 (0.002) Loss 1.8288 (1.7685) Prec@1 58.594 (59.648) Prec@5 80.469 (81.374) Epoch: [48][1400/10010] Time 0.324 (0.330) Data 0.001 (0.002) Loss 1.9042 (1.7687) Prec@1 56.250 (59.649) Prec@5 83.594 (81.370) Epoch: [48][1410/10010] Time 0.334 (0.330) Data 0.001 (0.002) Loss 1.6280 (1.7683) Prec@1 64.062 (59.657) Prec@5 85.938 (81.376) Epoch: [48][1420/10010] Time 0.342 (0.330) Data 0.000 (0.002) Loss 2.0689 (1.7685) Prec@1 53.906 (59.653) Prec@5 76.562 (81.378) Epoch: [48][1430/10010] Time 0.325 (0.330) Data 0.001 (0.002) Loss 1.8650 (1.7692) Prec@1 51.562 (59.651) Prec@5 81.250 (81.371) Epoch: [48][1440/10010] Time 0.338 (0.330) Data 0.000 (0.002) Loss 1.4642 (1.7692) Prec@1 62.500 (59.648) Prec@5 86.719 (81.373) Epoch: [48][1450/10010] Time 0.320 (0.330) Data 0.001 (0.002) Loss 1.8510 (1.7690) Prec@1 56.250 (59.653) Prec@5 85.938 (81.380) Epoch: [48][1460/10010] Time 0.323 (0.330) Data 0.000 (0.002) Loss 2.0626 (1.7701) Prec@1 53.906 (59.640) Prec@5 79.688 (81.367) Epoch: [48][1470/10010] Time 0.332 (0.330) Data 0.000 (0.002) Loss 1.8230 (1.7696) Prec@1 59.375 (59.648) Prec@5 82.031 (81.380) Epoch: [48][1480/10010] Time 0.318 (0.330) Data 0.000 (0.002) Loss 1.6563 (1.7696) Prec@1 60.156 (59.648) Prec@5 81.250 (81.370) Epoch: [48][1490/10010] Time 0.325 (0.330) Data 0.001 (0.002) Loss 1.8037 (1.7698) Prec@1 56.250 (59.639) Prec@5 76.562 (81.356) Epoch: [48][1500/10010] Time 0.319 (0.330) Data 0.001 (0.002) Loss 1.3410 (1.7699) Prec@1 63.281 (59.628) Prec@5 89.844 (81.360) Epoch: [48][1510/10010] Time 0.323 (0.330) Data 0.000 (0.002) Loss 1.7396 (1.7707) Prec@1 60.156 (59.611) Prec@5 79.688 (81.344) Epoch: [48][1520/10010] Time 0.330 (0.330) Data 0.000 (0.002) Loss 1.9015 (1.7712) Prec@1 57.031 (59.600) Prec@5 80.469 (81.336) Epoch: [48][1530/10010] Time 0.332 (0.329) Data 0.001 (0.002) Loss 1.6565 (1.7710) Prec@1 63.281 (59.600) Prec@5 85.938 (81.339) Epoch: [48][1540/10010] Time 0.334 (0.329) Data 0.001 (0.002) Loss 2.0974 (1.7711) Prec@1 53.125 (59.601) Prec@5 72.656 (81.338) Epoch: [48][1550/10010] Time 0.320 (0.329) Data 0.000 (0.002) Loss 1.6901 (1.7708) Prec@1 65.625 (59.615) Prec@5 83.594 (81.344) Epoch: [48][1560/10010] Time 0.326 (0.329) Data 0.001 (0.002) Loss 1.7785 (1.7711) Prec@1 55.469 (59.606) Prec@5 81.250 (81.338) Epoch: [48][1570/10010] Time 0.315 (0.329) Data 0.001 (0.002) Loss 1.5478 (1.7714) Prec@1 64.062 (59.600) Prec@5 82.812 (81.331) Epoch: [48][1580/10010] Time 0.318 (0.329) Data 0.001 (0.002) Loss 1.7985 (1.7711) Prec@1 57.031 (59.608) Prec@5 79.688 (81.330) Epoch: [48][1590/10010] Time 0.318 (0.329) Data 0.001 (0.002) Loss 1.6196 (1.7713) Prec@1 60.156 (59.599) Prec@5 83.594 (81.323) Epoch: [48][1600/10010] Time 0.327 (0.329) Data 0.001 (0.002) Loss 1.7502 (1.7713) Prec@1 55.469 (59.609) Prec@5 81.250 (81.329) Epoch: [48][1610/10010] Time 0.337 (0.329) Data 0.001 (0.002) Loss 1.9891 (1.7713) Prec@1 61.719 (59.616) Prec@5 77.344 (81.323) Epoch: [48][1620/10010] Time 0.341 (0.329) Data 0.000 (0.002) Loss 1.5746 (1.7717) Prec@1 59.375 (59.608) Prec@5 78.906 (81.311) Epoch: [48][1630/10010] Time 0.336 (0.329) Data 0.001 (0.002) Loss 1.8302 (1.7712) Prec@1 60.156 (59.624) Prec@5 78.125 (81.322) Epoch: [48][1640/10010] Time 0.336 (0.329) Data 0.001 (0.002) Loss 1.7662 (1.7716) Prec@1 58.594 (59.621) Prec@5 79.688 (81.315) Epoch: [48][1650/10010] Time 0.324 (0.329) Data 0.001 (0.002) Loss 1.5369 (1.7715) Prec@1 68.750 (59.618) Prec@5 85.938 (81.324) Epoch: [48][1660/10010] Time 0.325 (0.329) Data 0.003 (0.002) Loss 1.5983 (1.7715) Prec@1 62.500 (59.621) Prec@5 83.594 (81.325) Epoch: [48][1670/10010] Time 0.324 (0.329) Data 0.001 (0.002) Loss 1.7815 (1.7716) Prec@1 63.281 (59.620) Prec@5 81.250 (81.330) Epoch: [48][1680/10010] Time 0.328 (0.329) Data 0.001 (0.002) Loss 1.5481 (1.7717) Prec@1 66.406 (59.617) Prec@5 82.812 (81.323) Epoch: [48][1690/10010] Time 0.337 (0.329) Data 0.001 (0.002) Loss 1.7622 (1.7721) Prec@1 64.844 (59.613) Prec@5 79.688 (81.322) Epoch: [48][1700/10010] Time 0.337 (0.329) Data 0.001 (0.002) Loss 2.0203 (1.7722) Prec@1 54.688 (59.618) Prec@5 78.125 (81.318) Epoch: [48][1710/10010] Time 0.336 (0.329) Data 0.000 (0.002) Loss 1.8152 (1.7725) Prec@1 60.156 (59.610) Prec@5 82.031 (81.313) Epoch: [48][1720/10010] Time 0.341 (0.329) Data 0.001 (0.002) Loss 1.8462 (1.7725) Prec@1 57.812 (59.602) Prec@5 83.594 (81.314) Epoch: [48][1730/10010] Time 0.338 (0.330) Data 0.001 (0.002) Loss 1.9117 (1.7726) Prec@1 57.031 (59.606) Prec@5 78.125 (81.314) Epoch: [48][1740/10010] Time 0.319 (0.329) Data 0.001 (0.002) Loss 1.7285 (1.7726) Prec@1 61.719 (59.603) Prec@5 78.125 (81.311) Epoch: [48][1750/10010] Time 0.322 (0.329) Data 0.001 (0.002) Loss 1.6643 (1.7726) Prec@1 55.469 (59.600) Prec@5 84.375 (81.319) Epoch: [48][1760/10010] Time 0.339 (0.329) Data 0.001 (0.002) Loss 1.6129 (1.7728) Prec@1 65.625 (59.595) Prec@5 83.594 (81.318) Epoch: [48][1770/10010] Time 0.331 (0.329) Data 0.000 (0.002) Loss 1.9417 (1.7733) Prec@1 57.031 (59.594) Prec@5 78.125 (81.311) Epoch: [48][1780/10010] Time 0.342 (0.329) Data 0.001 (0.002) Loss 2.2086 (1.7735) Prec@1 50.781 (59.590) Prec@5 73.438 (81.305) Epoch: [48][1790/10010] Time 0.321 (0.329) Data 0.001 (0.002) Loss 1.9654 (1.7733) Prec@1 60.156 (59.595) Prec@5 78.125 (81.312) Epoch: [48][1800/10010] Time 0.339 (0.329) Data 0.001 (0.002) Loss 2.0785 (1.7732) Prec@1 53.906 (59.598) Prec@5 78.906 (81.317) Epoch: [48][1810/10010] Time 0.336 (0.329) Data 0.001 (0.002) Loss 1.5097 (1.7729) Prec@1 69.531 (59.613) Prec@5 85.938 (81.316) Epoch: [48][1820/10010] Time 0.324 (0.329) Data 0.000 (0.002) Loss 1.7622 (1.7729) Prec@1 60.156 (59.613) Prec@5 82.031 (81.315) Epoch: [48][1830/10010] Time 0.342 (0.329) Data 0.000 (0.002) Loss 2.0537 (1.7727) Prec@1 50.781 (59.618) Prec@5 78.125 (81.316) Epoch: [48][1840/10010] Time 0.332 (0.329) Data 0.000 (0.002) Loss 1.9769 (1.7730) Prec@1 53.906 (59.613) Prec@5 76.562 (81.311) Epoch: [48][1850/10010] Time 0.314 (0.329) Data 0.001 (0.002) Loss 1.6955 (1.7734) Prec@1 64.062 (59.610) Prec@5 78.906 (81.296) Epoch: [48][1860/10010] Time 0.342 (0.329) Data 0.001 (0.002) Loss 1.6440 (1.7734) Prec@1 57.812 (59.616) Prec@5 82.812 (81.293) Epoch: [48][1870/10010] Time 0.340 (0.329) Data 0.001 (0.002) Loss 1.6906 (1.7733) Prec@1 59.375 (59.619) Prec@5 85.156 (81.298) Epoch: [48][1880/10010] Time 0.321 (0.329) Data 0.000 (0.002) Loss 1.8970 (1.7728) Prec@1 57.812 (59.629) Prec@5 77.344 (81.302) /data/vision/torralba/deepscene/lib/anaconda2/lib/python2.7/site-packages/PIL/TiffImagePlugin.py:709: UserWarning: Corrupt EXIF data. Expecting to read 4 bytes but only got 0. warnings.warn(str(msg)) Epoch: [48][1890/10010] Time 0.337 (0.329) Data 0.001 (0.002) Loss 2.0157 (1.7728) Prec@1 55.469 (59.626) Prec@5 78.125 (81.307) Epoch: [48][1900/10010] Time 0.339 (0.329) Data 0.001 (0.002) Loss 1.6176 (1.7722) Prec@1 61.719 (59.636) Prec@5 83.594 (81.312) Epoch: [48][1910/10010] Time 0.342 (0.330) Data 0.001 (0.002) Loss 1.8246 (1.7721) Prec@1 58.594 (59.639) Prec@5 80.469 (81.317) Epoch: [48][1920/10010] Time 0.340 (0.330) Data 0.001 (0.002) Loss 1.5849 (1.7721) Prec@1 62.500 (59.647) Prec@5 82.812 (81.313) Epoch: [48][1930/10010] Time 0.316 (0.330) Data 0.001 (0.002) Loss 1.3844 (1.7717) Prec@1 71.094 (59.653) Prec@5 89.062 (81.319) Epoch: [48][1940/10010] Time 0.315 (0.329) Data 0.000 (0.002) Loss 1.6207 (1.7719) Prec@1 64.844 (59.654) Prec@5 86.719 (81.318) Epoch: [48][1950/10010] Time 0.333 (0.329) Data 0.001 (0.002) Loss 1.7537 (1.7718) Prec@1 55.469 (59.655) Prec@5 85.938 (81.322) Epoch: [48][1960/10010] Time 0.318 (0.329) Data 0.001 (0.002) Loss 1.7262 (1.7721) Prec@1 61.719 (59.642) Prec@5 81.250 (81.315) Epoch: [48][1970/10010] Time 0.318 (0.329) Data 0.001 (0.002) Loss 2.0089 (1.7724) Prec@1 56.250 (59.639) Prec@5 79.688 (81.313) Epoch: [48][1980/10010] Time 0.315 (0.329) Data 0.001 (0.002) Loss 1.6090 (1.7724) Prec@1 64.062 (59.644) Prec@5 83.594 (81.312) Epoch: [48][1990/10010] Time 0.338 (0.329) Data 0.001 (0.002) Loss 1.6983 (1.7726) Prec@1 59.375 (59.639) Prec@5 82.031 (81.309) Epoch: [48][2000/10010] Time 0.320 (0.329) Data 0.000 (0.002) Loss 1.9780 (1.7726) Prec@1 57.031 (59.641) Prec@5 78.906 (81.308) Epoch: [48][2010/10010] Time 0.327 (0.329) Data 0.001 (0.002) Loss 1.7852 (1.7728) Prec@1 63.281 (59.635) Prec@5 78.906 (81.305) Epoch: [48][2020/10010] Time 0.315 (0.329) Data 0.001 (0.002) Loss 1.9548 (1.7733) Prec@1 53.906 (59.622) Prec@5 80.469 (81.296) Epoch: [48][2030/10010] Time 0.338 (0.329) Data 0.001 (0.002) Loss 1.7056 (1.7733) Prec@1 60.938 (59.630) Prec@5 82.031 (81.291) Epoch: [48][2040/10010] Time 0.342 (0.329) Data 0.001 (0.002) Loss 1.7674 (1.7734) Prec@1 64.062 (59.626) Prec@5 80.469 (81.287) Epoch: [48][2050/10010] Time 0.318 (0.329) Data 0.001 (0.002) Loss 1.9428 (1.7738) Prec@1 57.812 (59.614) Prec@5 78.125 (81.282) Epoch: [48][2060/10010] Time 0.321 (0.329) Data 0.001 (0.002) Loss 1.5534 (1.7736) Prec@1 64.844 (59.612) Prec@5 89.062 (81.290) Epoch: [48][2070/10010] Time 0.336 (0.329) Data 0.001 (0.002) Loss 1.5266 (1.7735) Prec@1 64.062 (59.611) Prec@5 86.719 (81.290) Epoch: [48][2080/10010] Time 0.318 (0.329) Data 0.000 (0.002) Loss 1.9734 (1.7735) Prec@1 57.031 (59.613) Prec@5 78.125 (81.293) Epoch: [48][2090/10010] Time 0.330 (0.329) Data 0.001 (0.002) Loss 1.6185 (1.7735) Prec@1 62.500 (59.611) Prec@5 87.500 (81.291) Epoch: [48][2100/10010] Time 0.325 (0.329) Data 0.000 (0.002) Loss 1.6951 (1.7737) Prec@1 62.500 (59.605) Prec@5 85.156 (81.285) Epoch: [48][2110/10010] Time 0.336 (0.329) Data 0.001 (0.002) Loss 1.7845 (1.7746) Prec@1 57.031 (59.588) Prec@5 78.125 (81.271) Epoch: [48][2120/10010] Time 0.337 (0.329) Data 0.000 (0.002) Loss 1.6788 (1.7748) Prec@1 64.062 (59.586) Prec@5 82.812 (81.270) Epoch: [48][2130/10010] Time 0.319 (0.329) Data 0.001 (0.002) Loss 1.4812 (1.7746) Prec@1 63.281 (59.590) Prec@5 86.719 (81.275) Epoch: [48][2140/10010] Time 0.331 (0.329) Data 0.001 (0.002) Loss 1.3489 (1.7743) Prec@1 67.188 (59.594) Prec@5 85.156 (81.273) Epoch: [48][2150/10010] Time 0.329 (0.329) Data 0.001 (0.002) Loss 2.0057 (1.7745) Prec@1 59.375 (59.598) Prec@5 75.000 (81.269) /data/vision/torralba/deepscene/lib/anaconda2/lib/python2.7/site-packages/PIL/TiffImagePlugin.py:692: UserWarning: Possibly corrupt EXIF data. Expecting to read 2555904 bytes but only got 0. Skipping tag 0 "Skipping tag %s" % (size, len(data), tag)) Epoch: [48][2160/10010] Time 0.336 (0.329) Data 0.001 (0.002) Loss 1.6498 (1.7742) Prec@1 64.844 (59.603) Prec@5 83.594 (81.275) Epoch: [48][2170/10010] Time 0.328 (0.329) Data 0.001 (0.002) Loss 1.8883 (1.7744) Prec@1 57.812 (59.600) Prec@5 80.469 (81.267) Epoch: [48][2180/10010] Time 0.319 (0.329) Data 0.000 (0.002) Loss 1.6770 (1.7740) Prec@1 60.156 (59.607) Prec@5 83.594 (81.274) Epoch: [48][2190/10010] Time 0.321 (0.329) Data 0.001 (0.002) Loss 1.7552 (1.7738) Prec@1 58.594 (59.612) Prec@5 82.812 (81.276) Epoch: [48][2200/10010] Time 0.333 (0.329) Data 0.001 (0.002) Loss 2.2152 (1.7741) Prec@1 46.875 (59.600) Prec@5 74.219 (81.268) Epoch: [48][2210/10010] Time 0.324 (0.329) Data 0.000 (0.002) Loss 1.5560 (1.7742) Prec@1 63.281 (59.591) Prec@5 82.812 (81.269) Epoch: [48][2220/10010] Time 0.323 (0.329) Data 0.000 (0.002) Loss 1.6853 (1.7744) Prec@1 60.156 (59.594) Prec@5 81.250 (81.262) Epoch: [48][2230/10010] Time 0.332 (0.329) Data 0.001 (0.002) Loss 1.4808 (1.7743) Prec@1 64.844 (59.598) Prec@5 81.250 (81.267) Epoch: [48][2240/10010] Time 0.323 (0.329) Data 0.000 (0.002) Loss 1.7618 (1.7740) Prec@1 60.156 (59.609) Prec@5 82.031 (81.273) Epoch: [48][2250/10010] Time 0.330 (0.329) Data 0.001 (0.002) Loss 1.5201 (1.7739) Prec@1 65.625 (59.610) Prec@5 85.938 (81.274) Epoch: [48][2260/10010] Time 0.321 (0.329) Data 0.001 (0.002) Loss 1.7352 (1.7739) Prec@1 64.062 (59.609) Prec@5 83.594 (81.276) Epoch: [48][2270/10010] Time 0.333 (0.329) Data 0.001 (0.002) Loss 1.8066 (1.7745) Prec@1 56.250 (59.600) Prec@5 81.250 (81.268) Epoch: [48][2280/10010] Time 0.325 (0.329) Data 0.001 (0.002) Loss 2.1272 (1.7742) Prec@1 52.344 (59.607) Prec@5 78.125 (81.270) Epoch: [48][2290/10010] Time 0.317 (0.329) Data 0.001 (0.002) Loss 1.7887 (1.7740) Prec@1 64.062 (59.614) Prec@5 78.906 (81.271) Epoch: [48][2300/10010] Time 0.334 (0.329) Data 0.000 (0.002) Loss 1.7730 (1.7738) Prec@1 56.250 (59.618) Prec@5 82.031 (81.278) Epoch: [48][2310/10010] Time 0.334 (0.329) Data 0.001 (0.002) Loss 1.7374 (1.7736) Prec@1 57.812 (59.628) Prec@5 75.781 (81.276) Epoch: [48][2320/10010] Time 0.332 (0.329) Data 0.001 (0.002) Loss 1.9045 (1.7735) Prec@1 53.906 (59.626) Prec@5 80.469 (81.280) Epoch: [48][2330/10010] Time 0.317 (0.329) Data 0.001 (0.002) Loss 1.8212 (1.7733) Prec@1 58.594 (59.632) Prec@5 77.344 (81.285) Epoch: [48][2340/10010] Time 0.320 (0.329) Data 0.000 (0.002) Loss 1.8039 (1.7732) Prec@1 53.125 (59.636) Prec@5 85.156 (81.286) Epoch: [48][2350/10010] Time 0.329 (0.329) Data 0.001 (0.002) Loss 1.7249 (1.7732) Prec@1 62.500 (59.635) Prec@5 82.812 (81.283) Epoch: [48][2360/10010] Time 0.339 (0.329) Data 0.001 (0.002) Loss 1.7730 (1.7735) Prec@1 59.375 (59.620) Prec@5 80.469 (81.277) Epoch: [48][2370/10010] Time 0.316 (0.329) Data 0.000 (0.002) Loss 1.8899 (1.7742) Prec@1 57.031 (59.608) Prec@5 75.781 (81.268) Epoch: [48][2380/10010] Time 0.334 (0.329) Data 0.001 (0.002) Loss 2.1495 (1.7739) Prec@1 50.000 (59.613) Prec@5 80.469 (81.279) Epoch: [48][2390/10010] Time 0.314 (0.329) Data 0.001 (0.002) Loss 1.5383 (1.7740) Prec@1 63.281 (59.610) Prec@5 84.375 (81.275) Epoch: [48][2400/10010] Time 0.323 (0.329) Data 0.000 (0.002) Loss 1.7200 (1.7739) Prec@1 61.719 (59.614) Prec@5 83.594 (81.270) Epoch: [48][2410/10010] Time 0.330 (0.329) Data 0.000 (0.002) Loss 1.6657 (1.7743) Prec@1 67.188 (59.613) Prec@5 81.250 (81.264) Epoch: [48][2420/10010] Time 0.328 (0.329) Data 0.000 (0.002) Loss 1.3804 (1.7740) Prec@1 64.844 (59.619) Prec@5 87.500 (81.266) Epoch: [48][2430/10010] Time 0.334 (0.329) Data 0.001 (0.002) Loss 1.9764 (1.7743) Prec@1 52.344 (59.606) Prec@5 76.562 (81.267) Epoch: [48][2440/10010] Time 0.344 (0.329) Data 0.001 (0.002) Loss 2.0337 (1.7742) Prec@1 50.781 (59.614) Prec@5 77.344 (81.268) Epoch: [48][2450/10010] Time 0.320 (0.329) Data 0.001 (0.002) Loss 1.5444 (1.7741) Prec@1 64.062 (59.617) Prec@5 84.375 (81.268) Epoch: [48][2460/10010] Time 0.332 (0.329) Data 0.001 (0.002) Loss 2.0306 (1.7738) Prec@1 53.906 (59.622) Prec@5 78.906 (81.273) Epoch: [48][2470/10010] Time 0.328 (0.329) Data 0.001 (0.002) Loss 1.8928 (1.7743) Prec@1 57.031 (59.614) Prec@5 79.688 (81.266) Epoch: [48][2480/10010] Time 0.311 (0.329) Data 0.000 (0.002) Loss 1.8296 (1.7741) Prec@1 58.594 (59.611) Prec@5 84.375 (81.276) Epoch: [48][2490/10010] Time 0.321 (0.329) Data 0.001 (0.002) Loss 1.9727 (1.7739) Prec@1 50.781 (59.611) Prec@5 78.906 (81.280) Epoch: [48][2500/10010] Time 0.328 (0.329) Data 0.000 (0.002) Loss 2.0805 (1.7739) Prec@1 57.031 (59.613) Prec@5 75.781 (81.278) Epoch: [48][2510/10010] Time 0.337 (0.329) Data 0.001 (0.002) Loss 2.1662 (1.7741) Prec@1 55.469 (59.611) Prec@5 74.219 (81.273) Epoch: [48][2520/10010] Time 0.324 (0.329) Data 0.001 (0.002) Loss 2.0097 (1.7740) Prec@1 55.469 (59.615) Prec@5 80.469 (81.272) Epoch: [48][2530/10010] Time 0.333 (0.329) Data 0.000 (0.002) Loss 1.5713 (1.7738) Prec@1 66.406 (59.626) Prec@5 85.156 (81.275) Epoch: [48][2540/10010] Time 0.317 (0.329) Data 0.000 (0.002) Loss 1.6311 (1.7736) Prec@1 62.500 (59.627) Prec@5 84.375 (81.279) Epoch: [48][2550/10010] Time 0.316 (0.329) Data 0.001 (0.002) Loss 2.1360 (1.7735) Prec@1 54.688 (59.633) Prec@5 77.344 (81.280) Epoch: [48][2560/10010] Time 0.332 (0.329) Data 0.001 (0.002) Loss 1.6201 (1.7736) Prec@1 63.281 (59.632) Prec@5 83.594 (81.277) Epoch: [48][2570/10010] Time 0.332 (0.329) Data 0.001 (0.002) Loss 2.0964 (1.7740) Prec@1 58.594 (59.626) Prec@5 75.000 (81.265) Epoch: [48][2580/10010] Time 0.331 (0.329) Data 0.001 (0.002) Loss 1.8166 (1.7741) Prec@1 57.812 (59.630) Prec@5 78.125 (81.266) Epoch: [48][2590/10010] Time 0.335 (0.329) Data 0.001 (0.002) Loss 1.8821 (1.7743) Prec@1 51.562 (59.619) Prec@5 80.469 (81.262) Epoch: [48][2600/10010] Time 0.326 (0.329) Data 0.001 (0.002) Loss 1.6625 (1.7743) Prec@1 60.156 (59.620) Prec@5 82.812 (81.260) Epoch: [48][2610/10010] Time 0.331 (0.329) Data 0.001 (0.002) Loss 1.6872 (1.7742) Prec@1 64.062 (59.628) Prec@5 84.375 (81.261) Epoch: [48][2620/10010] Time 0.324 (0.329) Data 0.001 (0.002) Loss 1.8746 (1.7742) Prec@1 61.719 (59.633) Prec@5 82.812 (81.261) Epoch: [48][2630/10010] Time 0.330 (0.329) Data 0.001 (0.002) Loss 1.9466 (1.7744) Prec@1 55.469 (59.626) Prec@5 82.812 (81.260) Epoch: [48][2640/10010] Time 0.334 (0.329) Data 0.000 (0.002) Loss 1.6474 (1.7744) Prec@1 61.719 (59.622) Prec@5 85.156 (81.265) Epoch: [48][2650/10010] Time 0.325 (0.329) Data 0.001 (0.002) Loss 1.3361 (1.7740) Prec@1 73.438 (59.630) Prec@5 87.500 (81.270) Epoch: [48][2660/10010] Time 0.321 (0.329) Data 0.001 (0.002) Loss 1.6340 (1.7737) Prec@1 67.188 (59.636) Prec@5 85.938 (81.272) Epoch: [48][2670/10010] Time 0.338 (0.329) Data 0.000 (0.002) Loss 1.2014 (1.7734) Prec@1 73.438 (59.646) Prec@5 89.844 (81.276) Epoch: [48][2680/10010] Time 0.321 (0.329) Data 0.001 (0.002) Loss 2.0687 (1.7732) Prec@1 50.000 (59.645) Prec@5 73.438 (81.278) Epoch: [48][2690/10010] Time 0.321 (0.329) Data 0.001 (0.002) Loss 1.6189 (1.7732) Prec@1 60.156 (59.645) Prec@5 82.031 (81.276) Epoch: [48][2700/10010] Time 0.336 (0.329) Data 0.001 (0.002) Loss 1.3486 (1.7728) Prec@1 71.875 (59.652) Prec@5 90.625 (81.286) Epoch: [48][2710/10010] Time 0.321 (0.329) Data 0.001 (0.002) Loss 1.5540 (1.7727) Prec@1 65.625 (59.653) Prec@5 83.594 (81.288) Epoch: [48][2720/10010] Time 0.311 (0.329) Data 0.001 (0.002) Loss 1.6756 (1.7728) Prec@1 65.625 (59.654) Prec@5 83.594 (81.286) Epoch: [48][2730/10010] Time 0.335 (0.329) Data 0.001 (0.002) Loss 2.1569 (1.7729) Prec@1 55.469 (59.653) Prec@5 74.219 (81.289) Epoch: [48][2740/10010] Time 0.335 (0.329) Data 0.001 (0.002) Loss 1.7405 (1.7728) Prec@1 56.250 (59.653) Prec@5 82.031 (81.293) Epoch: [48][2750/10010] Time 0.336 (0.329) Data 0.001 (0.002) Loss 1.7886 (1.7729) Prec@1 58.594 (59.648) Prec@5 81.250 (81.291) Epoch: [48][2760/10010] Time 0.320 (0.329) Data 0.001 (0.002) Loss 2.4582 (1.7734) Prec@1 50.000 (59.640) Prec@5 75.000 (81.285) Epoch: [48][2770/10010] Time 0.338 (0.329) Data 0.001 (0.002) Loss 1.7676 (1.7731) Prec@1 59.375 (59.646) Prec@5 81.250 (81.292) Epoch: [48][2780/10010] Time 0.321 (0.329) Data 0.001 (0.002) Loss 1.8938 (1.7728) Prec@1 57.812 (59.650) Prec@5 78.125 (81.295) Epoch: [48][2790/10010] Time 0.338 (0.329) Data 0.000 (0.002) Loss 1.8361 (1.7725) Prec@1 59.375 (59.654) Prec@5 79.688 (81.301) Epoch: [48][2800/10010] Time 0.311 (0.329) Data 0.001 (0.002) Loss 1.8215 (1.7728) Prec@1 58.594 (59.645) Prec@5 82.031 (81.300) Epoch: [48][2810/10010] Time 0.320 (0.329) Data 0.001 (0.002) Loss 1.6960 (1.7733) Prec@1 61.719 (59.637) Prec@5 79.688 (81.288) Epoch: [48][2820/10010] Time 0.324 (0.329) Data 0.000 (0.002) Loss 1.8988 (1.7733) Prec@1 59.375 (59.634) Prec@5 77.344 (81.286) Epoch: [48][2830/10010] Time 0.319 (0.329) Data 0.001 (0.002) Loss 1.7990 (1.7728) Prec@1 58.594 (59.645) Prec@5 82.812 (81.288) Epoch: [48][2840/10010] Time 0.326 (0.329) Data 0.001 (0.002) Loss 1.4229 (1.7725) Prec@1 66.406 (59.647) Prec@5 88.281 (81.293) Epoch: [48][2850/10010] Time 0.326 (0.329) Data 0.001 (0.002) Loss 1.6166 (1.7725) Prec@1 63.281 (59.648) Prec@5 79.688 (81.291) Epoch: [48][2860/10010] Time 0.345 (0.329) Data 0.001 (0.002) Loss 1.9822 (1.7727) Prec@1 51.562 (59.646) Prec@5 79.688 (81.289) Epoch: [48][2870/10010] Time 0.340 (0.329) Data 0.001 (0.002) Loss 1.8291 (1.7725) Prec@1 55.469 (59.646) Prec@5 82.812 (81.294) Epoch: [48][2880/10010] Time 0.332 (0.329) Data 0.001 (0.002) Loss 1.9106 (1.7724) Prec@1 57.812 (59.649) Prec@5 76.562 (81.292) Epoch: [48][2890/10010] Time 0.339 (0.329) Data 0.001 (0.002) Loss 2.0205 (1.7729) Prec@1 57.031 (59.638) Prec@5 78.125 (81.288) Epoch: [48][2900/10010] Time 0.313 (0.329) Data 0.000 (0.002) Loss 1.9254 (1.7730) Prec@1 58.594 (59.638) Prec@5 78.906 (81.286) Epoch: [48][2910/10010] Time 0.330 (0.329) Data 0.001 (0.002) Loss 1.7716 (1.7734) Prec@1 58.594 (59.628) Prec@5 84.375 (81.281) Epoch: [48][2920/10010] Time 0.316 (0.329) Data 0.001 (0.002) Loss 2.0436 (1.7737) Prec@1 57.031 (59.622) Prec@5 80.469 (81.282) Epoch: [48][2930/10010] Time 0.339 (0.329) Data 0.001 (0.001) Loss 1.6419 (1.7737) Prec@1 59.375 (59.620) Prec@5 83.594 (81.285) Epoch: [48][2940/10010] Time 0.325 (0.329) Data 0.000 (0.001) Loss 1.7990 (1.7739) Prec@1 60.156 (59.618) Prec@5 85.156 (81.283) Epoch: [48][2950/10010] Time 0.333 (0.329) Data 0.001 (0.001) Loss 1.7088 (1.7741) Prec@1 60.156 (59.612) Prec@5 80.469 (81.279) Epoch: [48][2960/10010] Time 0.330 (0.329) Data 0.001 (0.001) Loss 2.0250 (1.7744) Prec@1 53.125 (59.602) Prec@5 77.344 (81.273) Epoch: [48][2970/10010] Time 0.328 (0.329) Data 0.001 (0.001) Loss 1.6334 (1.7746) Prec@1 60.156 (59.598) Prec@5 86.719 (81.268) Epoch: [48][2980/10010] Time 0.317 (0.329) Data 0.000 (0.001) Loss 2.0664 (1.7746) Prec@1 59.375 (59.597) Prec@5 76.562 (81.267) Epoch: [48][2990/10010] Time 0.341 (0.329) Data 0.001 (0.001) Loss 1.7124 (1.7747) Prec@1 56.250 (59.590) Prec@5 83.594 (81.264) Epoch: [48][3000/10010] Time 0.320 (0.329) Data 0.000 (0.001) Loss 1.6306 (1.7749) Prec@1 62.500 (59.588) Prec@5 81.250 (81.263) Epoch: [48][3010/10010] Time 0.318 (0.328) Data 0.001 (0.001) Loss 1.8370 (1.7748) Prec@1 60.938 (59.591) Prec@5 82.031 (81.266) Epoch: [48][3020/10010] Time 0.336 (0.328) Data 0.000 (0.001) Loss 1.9849 (1.7750) Prec@1 53.125 (59.579) Prec@5 78.125 (81.263) Epoch: [48][3030/10010] Time 0.314 (0.328) Data 0.000 (0.001) Loss 1.9464 (1.7748) Prec@1 60.938 (59.584) Prec@5 78.906 (81.269) Epoch: [48][3040/10010] Time 0.332 (0.328) Data 0.000 (0.001) Loss 1.5379 (1.7744) Prec@1 60.938 (59.587) Prec@5 84.375 (81.272) Epoch: [48][3050/10010] Time 0.323 (0.328) Data 0.001 (0.001) Loss 1.5826 (1.7746) Prec@1 60.938 (59.580) Prec@5 84.375 (81.267) Epoch: [48][3060/10010] Time 0.322 (0.328) Data 0.000 (0.001) Loss 1.6833 (1.7749) Prec@1 60.938 (59.573) Prec@5 81.250 (81.262) Epoch: [48][3070/10010] Time 0.333 (0.328) Data 0.001 (0.001) Loss 1.6382 (1.7747) Prec@1 64.844 (59.578) Prec@5 83.594 (81.264) Epoch: [48][3080/10010] Time 0.338 (0.328) Data 0.000 (0.001) Loss 1.9220 (1.7750) Prec@1 57.031 (59.569) Prec@5 78.125 (81.261) Epoch: [48][3090/10010] Time 0.326 (0.328) Data 0.001 (0.001) Loss 1.6922 (1.7747) Prec@1 65.625 (59.577) Prec@5 82.031 (81.265) Epoch: [48][3100/10010] Time 0.313 (0.328) Data 0.000 (0.001) Loss 2.1540 (1.7746) Prec@1 50.781 (59.575) Prec@5 71.875 (81.265) Epoch: [48][3110/10010] Time 0.325 (0.328) Data 0.001 (0.001) Loss 1.6397 (1.7745) Prec@1 62.500 (59.572) Prec@5 81.250 (81.265) Epoch: [48][3120/10010] Time 0.321 (0.328) Data 0.001 (0.001) Loss 1.9548 (1.7745) Prec@1 56.250 (59.571) Prec@5 78.906 (81.269) Epoch: [48][3130/10010] Time 0.327 (0.328) Data 0.001 (0.001) Loss 1.7012 (1.7745) Prec@1 60.156 (59.573) Prec@5 82.031 (81.267) Epoch: [48][3140/10010] Time 0.322 (0.328) Data 0.001 (0.001) Loss 1.5114 (1.7745) Prec@1 62.500 (59.569) Prec@5 84.375 (81.268) Epoch: [48][3150/10010] Time 0.315 (0.328) Data 0.001 (0.001) Loss 1.7372 (1.7750) Prec@1 59.375 (59.563) Prec@5 80.469 (81.264) Epoch: [48][3160/10010] Time 0.312 (0.328) Data 0.001 (0.001) Loss 1.4803 (1.7753) Prec@1 64.844 (59.560) Prec@5 86.719 (81.258) Epoch: [48][3170/10010] Time 0.317 (0.328) Data 0.001 (0.001) Loss 2.0653 (1.7757) Prec@1 57.031 (59.549) Prec@5 75.000 (81.254) Epoch: [48][3180/10010] Time 0.317 (0.328) Data 0.001 (0.001) Loss 1.6885 (1.7755) Prec@1 57.812 (59.545) Prec@5 82.812 (81.258) Epoch: [48][3190/10010] Time 0.335 (0.328) Data 0.001 (0.001) Loss 1.8522 (1.7756) Prec@1 60.938 (59.541) Prec@5 76.562 (81.253) Epoch: [48][3200/10010] Time 0.332 (0.328) Data 0.001 (0.001) Loss 1.9564 (1.7759) Prec@1 57.812 (59.534) Prec@5 78.125 (81.252) Epoch: [48][3210/10010] Time 0.335 (0.328) Data 0.001 (0.001) Loss 1.6405 (1.7759) Prec@1 62.500 (59.536) Prec@5 83.594 (81.253) Epoch: [48][3220/10010] Time 0.337 (0.328) Data 0.001 (0.001) Loss 1.6199 (1.7755) Prec@1 64.844 (59.542) Prec@5 80.469 (81.261) Epoch: [48][3230/10010] Time 0.324 (0.328) Data 0.001 (0.001) Loss 1.6398 (1.7751) Prec@1 64.844 (59.546) Prec@5 81.250 (81.267) Epoch: [48][3240/10010] Time 0.317 (0.328) Data 0.000 (0.001) Loss 1.7639 (1.7751) Prec@1 58.594 (59.546) Prec@5 82.812 (81.268) Epoch: [48][3250/10010] Time 0.315 (0.328) Data 0.001 (0.001) Loss 2.0996 (1.7753) Prec@1 56.250 (59.543) Prec@5 75.781 (81.265) Epoch: [48][3260/10010] Time 0.323 (0.328) Data 0.001 (0.001) Loss 2.0569 (1.7754) Prec@1 54.688 (59.538) Prec@5 75.781 (81.265) Epoch: [48][3270/10010] Time 0.324 (0.328) Data 0.001 (0.001) Loss 1.7604 (1.7754) Prec@1 57.812 (59.539) Prec@5 81.250 (81.262) Epoch: [48][3280/10010] Time 0.317 (0.328) Data 0.001 (0.001) Loss 1.7303 (1.7758) Prec@1 60.938 (59.536) Prec@5 81.250 (81.256) Epoch: [48][3290/10010] Time 0.333 (0.328) Data 0.000 (0.001) Loss 1.8798 (1.7760) Prec@1 64.062 (59.534) Prec@5 79.688 (81.257) Epoch: [48][3300/10010] Time 0.333 (0.328) Data 0.001 (0.001) Loss 1.6698 (1.7759) Prec@1 66.406 (59.538) Prec@5 81.250 (81.257) Epoch: [48][3310/10010] Time 0.316 (0.328) Data 0.001 (0.001) Loss 1.7098 (1.7760) Prec@1 57.031 (59.537) Prec@5 85.156 (81.256) Epoch: [48][3320/10010] Time 0.325 (0.328) Data 0.001 (0.001) Loss 1.6019 (1.7761) Prec@1 60.156 (59.537) Prec@5 84.375 (81.255) Epoch: [48][3330/10010] Time 0.325 (0.328) Data 0.001 (0.001) Loss 1.8827 (1.7761) Prec@1 56.250 (59.536) Prec@5 75.000 (81.253) Epoch: [48][3340/10010] Time 0.318 (0.328) Data 0.001 (0.001) Loss 1.6658 (1.7764) Prec@1 57.812 (59.532) Prec@5 83.594 (81.250) Epoch: [48][3350/10010] Time 0.319 (0.328) Data 0.001 (0.001) Loss 1.8708 (1.7762) Prec@1 56.250 (59.535) Prec@5 78.906 (81.253) Epoch: [48][3360/10010] Time 0.334 (0.328) Data 0.000 (0.001) Loss 1.8467 (1.7763) Prec@1 56.250 (59.529) Prec@5 78.906 (81.253) Epoch: [48][3370/10010] Time 0.345 (0.328) Data 0.000 (0.001) Loss 2.1064 (1.7765) Prec@1 50.781 (59.526) Prec@5 80.469 (81.249) Epoch: [48][3380/10010] Time 0.338 (0.328) Data 0.000 (0.001) Loss 1.8266 (1.7767) Prec@1 52.344 (59.523) Prec@5 82.031 (81.248) Epoch: [48][3390/10010] Time 0.317 (0.328) Data 0.000 (0.001) Loss 1.5843 (1.7768) Prec@1 66.406 (59.530) Prec@5 83.594 (81.249) Epoch: [48][3400/10010] Time 0.314 (0.328) Data 0.001 (0.001) Loss 1.7761 (1.7768) Prec@1 59.375 (59.528) Prec@5 77.344 (81.249) Epoch: [48][3410/10010] Time 0.336 (0.328) Data 0.001 (0.001) Loss 1.7593 (1.7768) Prec@1 61.719 (59.529) Prec@5 82.031 (81.250) Epoch: [48][3420/10010] Time 0.344 (0.328) Data 0.001 (0.001) Loss 1.4342 (1.7767) Prec@1 63.281 (59.529) Prec@5 85.156 (81.252) Epoch: [48][3430/10010] Time 0.335 (0.328) Data 0.001 (0.001) Loss 1.5875 (1.7767) Prec@1 60.156 (59.528) Prec@5 81.250 (81.253) Epoch: [48][3440/10010] Time 0.338 (0.328) Data 0.001 (0.001) Loss 1.7087 (1.7764) Prec@1 60.938 (59.536) Prec@5 82.812 (81.256) Epoch: [48][3450/10010] Time 0.313 (0.328) Data 0.001 (0.001) Loss 1.6922 (1.7764) Prec@1 63.281 (59.537) Prec@5 82.812 (81.257) Epoch: [48][3460/10010] Time 0.341 (0.328) Data 0.001 (0.001) Loss 2.1127 (1.7764) Prec@1 54.688 (59.532) Prec@5 74.219 (81.258) Epoch: [48][3470/10010] Time 0.317 (0.328) Data 0.001 (0.001) Loss 1.5797 (1.7768) Prec@1 61.719 (59.525) Prec@5 83.594 (81.251) Epoch: [48][3480/10010] Time 0.337 (0.328) Data 0.001 (0.001) Loss 2.0034 (1.7766) Prec@1 58.594 (59.529) Prec@5 78.906 (81.251) Epoch: [48][3490/10010] Time 0.325 (0.328) Data 0.001 (0.001) Loss 1.6445 (1.7767) Prec@1 60.938 (59.527) Prec@5 83.594 (81.253) Epoch: [48][3500/10010] Time 0.320 (0.328) Data 0.001 (0.001) Loss 1.7913 (1.7770) Prec@1 62.500 (59.522) Prec@5 83.594 (81.250) Epoch: [48][3510/10010] Time 0.326 (0.328) Data 0.001 (0.001) Loss 1.5613 (1.7771) Prec@1 58.594 (59.518) Prec@5 83.594 (81.248) Epoch: [48][3520/10010] Time 0.319 (0.328) Data 0.001 (0.001) Loss 1.7823 (1.7772) Prec@1 61.719 (59.520) Prec@5 82.812 (81.249) Epoch: [48][3530/10010] Time 0.332 (0.328) Data 0.001 (0.001) Loss 1.4034 (1.7773) Prec@1 67.969 (59.521) Prec@5 89.062 (81.250) Epoch: [48][3540/10010] Time 0.342 (0.328) Data 0.001 (0.001) Loss 1.9959 (1.7772) Prec@1 54.688 (59.522) Prec@5 82.031 (81.249) Epoch: [48][3550/10010] Time 0.319 (0.328) Data 0.001 (0.001) Loss 1.9211 (1.7773) Prec@1 57.031 (59.520) Prec@5 79.688 (81.244) Epoch: [48][3560/10010] Time 0.322 (0.328) Data 0.001 (0.001) Loss 1.6677 (1.7774) Prec@1 60.156 (59.517) Prec@5 80.469 (81.245) /data/vision/torralba/deepscene/lib/anaconda2/lib/python2.7/site-packages/PIL/TiffImagePlugin.py:692: UserWarning: Possibly corrupt EXIF data. Expecting to read 1835008 bytes but only got 0. Skipping tag 0 "Skipping tag %s" % (size, len(data), tag)) Epoch: [48][3570/10010] Time 0.339 (0.328) Data 0.001 (0.001) Loss 1.6714 (1.7773) Prec@1 56.250 (59.518) Prec@5 80.469 (81.244) Epoch: [48][3580/10010] Time 0.322 (0.328) Data 0.000 (0.001) Loss 1.5803 (1.7775) Prec@1 62.500 (59.520) Prec@5 84.375 (81.241) Epoch: [48][3590/10010] Time 0.336 (0.328) Data 0.001 (0.001) Loss 1.5987 (1.7773) Prec@1 60.938 (59.518) Prec@5 86.719 (81.243) Epoch: [48][3600/10010] Time 0.342 (0.328) Data 0.000 (0.001) Loss 1.8474 (1.7774) Prec@1 62.500 (59.520) Prec@5 83.594 (81.244) Epoch: [48][3610/10010] Time 0.336 (0.328) Data 0.000 (0.001) Loss 1.9085 (1.7772) Prec@1 53.125 (59.522) Prec@5 80.469 (81.248) Epoch: [48][3620/10010] Time 0.334 (0.328) Data 0.001 (0.001) Loss 1.6182 (1.7774) Prec@1 60.938 (59.516) Prec@5 83.594 (81.250) Epoch: [48][3630/10010] Time 0.335 (0.328) Data 0.001 (0.001) Loss 1.9632 (1.7776) Prec@1 57.031 (59.509) Prec@5 78.906 (81.248) Epoch: [48][3640/10010] Time 0.340 (0.328) Data 0.000 (0.001) Loss 1.6932 (1.7777) Prec@1 57.812 (59.506) Prec@5 87.500 (81.249) Epoch: [48][3650/10010] Time 0.317 (0.328) Data 0.001 (0.001) Loss 2.0393 (1.7779) Prec@1 57.812 (59.500) Prec@5 75.000 (81.243) Epoch: [48][3660/10010] Time 0.341 (0.328) Data 0.000 (0.001) Loss 2.0536 (1.7783) Prec@1 57.812 (59.491) Prec@5 77.344 (81.237) Epoch: [48][3670/10010] Time 0.340 (0.328) Data 0.000 (0.001) Loss 1.8221 (1.7783) Prec@1 61.719 (59.495) Prec@5 82.812 (81.237) Epoch: [48][3680/10010] Time 0.321 (0.328) Data 0.001 (0.001) Loss 2.5003 (1.7787) Prec@1 48.438 (59.489) Prec@5 73.438 (81.229) Epoch: [48][3690/10010] Time 0.313 (0.328) Data 0.001 (0.001) Loss 1.4019 (1.7787) Prec@1 63.281 (59.492) Prec@5 88.281 (81.232) Epoch: [48][3700/10010] Time 0.316 (0.328) Data 0.001 (0.001) Loss 1.6439 (1.7786) Prec@1 56.250 (59.493) Prec@5 82.031 (81.232) Epoch: [48][3710/10010] Time 0.327 (0.328) Data 0.000 (0.001) Loss 1.9314 (1.7785) Prec@1 53.125 (59.496) Prec@5 77.344 (81.236) Epoch: [48][3720/10010] Time 0.315 (0.328) Data 0.000 (0.001) Loss 1.7990 (1.7786) Prec@1 56.250 (59.494) Prec@5 82.031 (81.233) Epoch: [48][3730/10010] Time 0.319 (0.328) Data 0.001 (0.001) Loss 1.9836 (1.7784) Prec@1 52.344 (59.497) Prec@5 80.469 (81.234) Epoch: [48][3740/10010] Time 0.311 (0.328) Data 0.001 (0.001) Loss 1.9081 (1.7784) Prec@1 54.688 (59.497) Prec@5 83.594 (81.235) Epoch: [48][3750/10010] Time 0.338 (0.328) Data 0.001 (0.001) Loss 2.0329 (1.7786) Prec@1 52.344 (59.494) Prec@5 75.000 (81.231) Epoch: [48][3760/10010] Time 0.316 (0.328) Data 0.000 (0.001) Loss 1.8746 (1.7789) Prec@1 60.938 (59.490) Prec@5 79.688 (81.229) Epoch: [48][3770/10010] Time 0.335 (0.328) Data 0.001 (0.001) Loss 1.8804 (1.7791) Prec@1 57.031 (59.486) Prec@5 79.688 (81.224) Epoch: [48][3780/10010] Time 0.338 (0.328) Data 0.001 (0.001) Loss 1.9179 (1.7790) Prec@1 58.594 (59.490) Prec@5 80.469 (81.225) Epoch: [48][3790/10010] Time 0.335 (0.328) Data 0.000 (0.001) Loss 1.8485 (1.7789) Prec@1 55.469 (59.492) Prec@5 83.594 (81.228) Epoch: [48][3800/10010] Time 0.319 (0.328) Data 0.001 (0.001) Loss 2.0036 (1.7788) Prec@1 51.562 (59.495) Prec@5 77.344 (81.229) Epoch: [48][3810/10010] Time 0.329 (0.328) Data 0.001 (0.001) Loss 1.7114 (1.7788) Prec@1 64.062 (59.493) Prec@5 84.375 (81.228) Epoch: [48][3820/10010] Time 0.325 (0.328) Data 0.001 (0.001) Loss 1.8264 (1.7790) Prec@1 60.938 (59.491) Prec@5 79.688 (81.226) Epoch: [48][3830/10010] Time 0.324 (0.328) Data 0.001 (0.001) Loss 1.9699 (1.7791) Prec@1 53.125 (59.489) Prec@5 82.031 (81.223) Epoch: [48][3840/10010] Time 0.330 (0.328) Data 0.000 (0.001) Loss 1.7193 (1.7793) Prec@1 59.375 (59.485) Prec@5 84.375 (81.221) Epoch: [48][3850/10010] Time 0.316 (0.328) Data 0.001 (0.001) Loss 1.6320 (1.7791) Prec@1 60.938 (59.488) Prec@5 82.812 (81.223) Epoch: [48][3860/10010] Time 0.337 (0.328) Data 0.000 (0.001) Loss 1.6923 (1.7788) Prec@1 65.625 (59.497) Prec@5 83.594 (81.227) Epoch: [48][3870/10010] Time 0.330 (0.328) Data 0.001 (0.001) Loss 1.4984 (1.7790) Prec@1 60.938 (59.494) Prec@5 85.938 (81.222) Epoch: [48][3880/10010] Time 0.337 (0.328) Data 0.001 (0.001) Loss 1.8723 (1.7792) Prec@1 56.250 (59.491) Prec@5 78.906 (81.221) Epoch: [48][3890/10010] Time 0.332 (0.328) Data 0.001 (0.001) Loss 2.0018 (1.7793) Prec@1 53.906 (59.490) Prec@5 72.656 (81.216) Epoch: [48][3900/10010] Time 0.333 (0.328) Data 0.000 (0.001) Loss 1.9856 (1.7793) Prec@1 53.125 (59.489) Prec@5 81.250 (81.217) Epoch: [48][3910/10010] Time 0.339 (0.328) Data 0.001 (0.001) Loss 1.7950 (1.7792) Prec@1 57.812 (59.496) Prec@5 81.250 (81.218) Epoch: [48][3920/10010] Time 0.320 (0.328) Data 0.001 (0.001) Loss 2.2076 (1.7792) Prec@1 56.250 (59.497) Prec@5 70.312 (81.218) Epoch: [48][3930/10010] Time 0.318 (0.328) Data 0.001 (0.001) Loss 2.0541 (1.7794) Prec@1 53.906 (59.494) Prec@5 77.344 (81.213) Epoch: [48][3940/10010] Time 0.335 (0.328) Data 0.001 (0.001) Loss 1.7995 (1.7792) Prec@1 57.031 (59.496) Prec@5 82.812 (81.219) Epoch: [48][3950/10010] Time 0.337 (0.328) Data 0.001 (0.001) Loss 2.1447 (1.7792) Prec@1 50.781 (59.496) Prec@5 70.312 (81.219) Epoch: [48][3960/10010] Time 0.326 (0.328) Data 0.001 (0.001) Loss 1.6274 (1.7796) Prec@1 64.062 (59.493) Prec@5 85.938 (81.214) Epoch: [48][3970/10010] Time 0.341 (0.328) Data 0.000 (0.001) Loss 1.8653 (1.7798) Prec@1 55.469 (59.488) Prec@5 81.250 (81.210) Epoch: [48][3980/10010] Time 0.339 (0.328) Data 0.001 (0.001) Loss 1.8302 (1.7798) Prec@1 57.812 (59.485) Prec@5 80.469 (81.213) Epoch: [48][3990/10010] Time 0.316 (0.328) Data 0.001 (0.001) Loss 1.6560 (1.7800) Prec@1 64.062 (59.487) Prec@5 84.375 (81.211) Epoch: [48][4000/10010] Time 0.335 (0.328) Data 0.001 (0.001) Loss 1.7473 (1.7799) Prec@1 60.938 (59.484) Prec@5 82.031 (81.212) Epoch: [48][4010/10010] Time 0.334 (0.328) Data 0.000 (0.001) Loss 1.9672 (1.7801) Prec@1 55.469 (59.482) Prec@5 78.906 (81.208) Epoch: [48][4020/10010] Time 0.329 (0.328) Data 0.001 (0.001) Loss 1.6676 (1.7801) Prec@1 60.938 (59.482) Prec@5 82.812 (81.205) Epoch: [48][4030/10010] Time 0.338 (0.328) Data 0.001 (0.001) Loss 1.4840 (1.7800) Prec@1 59.375 (59.483) Prec@5 87.500 (81.205) Epoch: [48][4040/10010] Time 0.329 (0.328) Data 0.001 (0.001) Loss 1.9591 (1.7799) Prec@1 54.688 (59.485) Prec@5 78.125 (81.207) Epoch: [48][4050/10010] Time 0.325 (0.328) Data 0.001 (0.001) Loss 1.4836 (1.7797) Prec@1 63.281 (59.488) Prec@5 89.844 (81.212) Epoch: [48][4060/10010] Time 0.342 (0.328) Data 0.001 (0.001) Loss 1.8153 (1.7795) Prec@1 60.156 (59.493) Prec@5 82.812 (81.214) Epoch: [48][4070/10010] Time 0.322 (0.328) Data 0.001 (0.001) Loss 1.8735 (1.7796) Prec@1 54.688 (59.490) Prec@5 76.562 (81.213) Epoch: [48][4080/10010] Time 0.335 (0.328) Data 0.001 (0.001) Loss 1.8538 (1.7796) Prec@1 63.281 (59.491) Prec@5 78.906 (81.212) Epoch: [48][4090/10010] Time 0.319 (0.328) Data 0.000 (0.001) Loss 1.5264 (1.7794) Prec@1 63.281 (59.496) Prec@5 83.594 (81.214) Epoch: [48][4100/10010] Time 0.323 (0.328) Data 0.001 (0.001) Loss 1.6980 (1.7793) Prec@1 64.844 (59.499) Prec@5 84.375 (81.215) Epoch: [48][4110/10010] Time 0.321 (0.328) Data 0.001 (0.001) Loss 1.7449 (1.7793) Prec@1 57.031 (59.500) Prec@5 84.375 (81.215) Epoch: [48][4120/10010] Time 0.323 (0.328) Data 0.001 (0.001) Loss 1.7733 (1.7793) Prec@1 56.250 (59.500) Prec@5 81.250 (81.216) Epoch: [48][4130/10010] Time 0.333 (0.328) Data 0.001 (0.001) Loss 2.1058 (1.7794) Prec@1 55.469 (59.500) Prec@5 77.344 (81.216) Epoch: [48][4140/10010] Time 0.314 (0.328) Data 0.001 (0.001) Loss 1.6998 (1.7793) Prec@1 63.281 (59.500) Prec@5 82.812 (81.217) Epoch: [48][4150/10010] Time 0.332 (0.328) Data 0.001 (0.001) Loss 1.6017 (1.7794) Prec@1 61.719 (59.497) Prec@5 86.719 (81.216) Epoch: [48][4160/10010] Time 0.333 (0.328) Data 0.001 (0.001) Loss 2.2325 (1.7795) Prec@1 48.438 (59.496) Prec@5 72.656 (81.216) Epoch: [48][4170/10010] Time 0.323 (0.328) Data 0.001 (0.001) Loss 1.9699 (1.7794) Prec@1 54.688 (59.501) Prec@5 78.125 (81.216) Epoch: [48][4180/10010] Time 0.337 (0.328) Data 0.001 (0.001) Loss 1.5938 (1.7794) Prec@1 62.500 (59.500) Prec@5 86.719 (81.216) Epoch: [48][4190/10010] Time 0.329 (0.328) Data 0.001 (0.001) Loss 1.6129 (1.7795) Prec@1 56.250 (59.499) Prec@5 85.156 (81.216) Epoch: [48][4200/10010] Time 0.313 (0.328) Data 0.000 (0.001) Loss 2.0905 (1.7794) Prec@1 56.250 (59.505) Prec@5 75.781 (81.219) Epoch: [48][4210/10010] Time 0.333 (0.328) Data 0.001 (0.001) Loss 1.8597 (1.7795) Prec@1 54.688 (59.501) Prec@5 78.906 (81.218) Epoch: [48][4220/10010] Time 0.342 (0.328) Data 0.000 (0.001) Loss 2.1563 (1.7797) Prec@1 53.125 (59.501) Prec@5 72.656 (81.217) Epoch: [48][4230/10010] Time 0.325 (0.328) Data 0.001 (0.001) Loss 1.9124 (1.7797) Prec@1 59.375 (59.501) Prec@5 78.906 (81.217) Epoch: [48][4240/10010] Time 0.334 (0.328) Data 0.001 (0.001) Loss 1.7899 (1.7797) Prec@1 57.812 (59.500) Prec@5 81.250 (81.214) Epoch: [48][4250/10010] Time 0.317 (0.328) Data 0.001 (0.001) Loss 1.7601 (1.7798) Prec@1 60.938 (59.503) Prec@5 82.031 (81.214) Epoch: [48][4260/10010] Time 0.331 (0.328) Data 0.001 (0.001) Loss 1.9459 (1.7798) Prec@1 59.375 (59.504) Prec@5 75.000 (81.212) Epoch: [48][4270/10010] Time 0.333 (0.328) Data 0.001 (0.001) Loss 1.7870 (1.7798) Prec@1 60.156 (59.508) Prec@5 80.469 (81.210) Epoch: [48][4280/10010] Time 0.330 (0.328) Data 0.001 (0.001) Loss 2.0828 (1.7798) Prec@1 46.875 (59.508) Prec@5 75.000 (81.209) Epoch: [48][4290/10010] Time 0.323 (0.328) Data 0.001 (0.001) Loss 2.2813 (1.7800) Prec@1 56.250 (59.504) Prec@5 75.000 (81.207) Epoch: [48][4300/10010] Time 0.325 (0.328) Data 0.000 (0.001) Loss 1.6310 (1.7798) Prec@1 62.500 (59.509) Prec@5 84.375 (81.209) Epoch: [48][4310/10010] Time 0.331 (0.328) Data 0.000 (0.001) Loss 1.8331 (1.7799) Prec@1 58.594 (59.505) Prec@5 82.031 (81.209) Epoch: [48][4320/10010] Time 0.325 (0.328) Data 0.001 (0.001) Loss 1.4801 (1.7796) Prec@1 66.406 (59.512) Prec@5 83.594 (81.213) Epoch: [48][4330/10010] Time 0.333 (0.328) Data 0.001 (0.001) Loss 1.8897 (1.7798) Prec@1 60.938 (59.509) Prec@5 78.906 (81.209) Epoch: [48][4340/10010] Time 0.324 (0.328) Data 0.000 (0.001) Loss 1.7065 (1.7796) Prec@1 60.938 (59.509) Prec@5 81.250 (81.210) Epoch: [48][4350/10010] Time 0.334 (0.328) Data 0.001 (0.001) Loss 1.6054 (1.7794) Prec@1 59.375 (59.510) Prec@5 85.156 (81.214) Epoch: [48][4360/10010] Time 0.320 (0.328) Data 0.000 (0.001) Loss 1.5990 (1.7794) Prec@1 62.500 (59.510) Prec@5 82.812 (81.215) Epoch: [48][4370/10010] Time 0.331 (0.328) Data 0.001 (0.001) Loss 1.7546 (1.7795) Prec@1 62.500 (59.510) Prec@5 82.031 (81.210) Epoch: [48][4380/10010] Time 0.320 (0.328) Data 0.001 (0.001) Loss 1.9935 (1.7794) Prec@1 56.250 (59.513) Prec@5 78.125 (81.212) Epoch: [48][4390/10010] Time 0.332 (0.328) Data 0.001 (0.001) Loss 1.4887 (1.7792) Prec@1 67.969 (59.518) Prec@5 83.594 (81.211) Epoch: [48][4400/10010] Time 0.340 (0.328) Data 0.000 (0.001) Loss 1.7142 (1.7794) Prec@1 57.812 (59.514) Prec@5 79.688 (81.206) Epoch: [48][4410/10010] Time 0.318 (0.328) Data 0.001 (0.001) Loss 1.9388 (1.7795) Prec@1 64.062 (59.511) Prec@5 77.344 (81.205) Epoch: [48][4420/10010] Time 0.323 (0.328) Data 0.001 (0.001) Loss 1.5529 (1.7794) Prec@1 64.844 (59.513) Prec@5 82.812 (81.208) Epoch: [48][4430/10010] Time 0.332 (0.328) Data 0.000 (0.001) Loss 1.7502 (1.7793) Prec@1 59.375 (59.514) Prec@5 84.375 (81.212) Epoch: [48][4440/10010] Time 0.326 (0.328) Data 0.001 (0.001) Loss 1.7930 (1.7792) Prec@1 57.812 (59.517) Prec@5 83.594 (81.214) Epoch: [48][4450/10010] Time 0.317 (0.328) Data 0.001 (0.001) Loss 1.9106 (1.7791) Prec@1 57.031 (59.519) Prec@5 78.906 (81.219) Epoch: [48][4460/10010] Time 0.314 (0.328) Data 0.001 (0.001) Loss 1.6840 (1.7790) Prec@1 60.156 (59.522) Prec@5 83.594 (81.222) Epoch: [48][4470/10010] Time 0.324 (0.328) Data 0.000 (0.001) Loss 1.5757 (1.7788) Prec@1 64.062 (59.529) Prec@5 85.938 (81.226) Epoch: [48][4480/10010] Time 0.314 (0.328) Data 0.001 (0.001) Loss 1.6646 (1.7788) Prec@1 57.812 (59.528) Prec@5 82.031 (81.222) Epoch: [48][4490/10010] Time 0.346 (0.328) Data 0.000 (0.001) Loss 1.7306 (1.7788) Prec@1 59.375 (59.528) Prec@5 81.250 (81.222) Epoch: [48][4500/10010] Time 0.319 (0.328) Data 0.001 (0.001) Loss 1.8599 (1.7787) Prec@1 59.375 (59.529) Prec@5 83.594 (81.225) Epoch: [48][4510/10010] Time 0.322 (0.328) Data 0.001 (0.001) Loss 1.6286 (1.7786) Prec@1 59.375 (59.528) Prec@5 84.375 (81.227) Epoch: [48][4520/10010] Time 0.315 (0.328) Data 0.000 (0.001) Loss 2.0127 (1.7789) Prec@1 54.688 (59.524) Prec@5 78.125 (81.224) Epoch: [48][4530/10010] Time 0.316 (0.328) Data 0.001 (0.001) Loss 1.6733 (1.7789) Prec@1 59.375 (59.521) Prec@5 81.250 (81.221) Epoch: [48][4540/10010] Time 0.312 (0.328) Data 0.001 (0.001) Loss 1.5568 (1.7790) Prec@1 60.156 (59.519) Prec@5 86.719 (81.220) Epoch: [48][4550/10010] Time 0.326 (0.328) Data 0.000 (0.001) Loss 1.5212 (1.7789) Prec@1 64.062 (59.518) Prec@5 87.500 (81.222) Epoch: [48][4560/10010] Time 0.322 (0.328) Data 0.001 (0.001) Loss 1.8443 (1.7786) Prec@1 60.938 (59.526) Prec@5 81.250 (81.223) Epoch: [48][4570/10010] Time 0.334 (0.328) Data 0.000 (0.001) Loss 2.2555 (1.7789) Prec@1 51.562 (59.522) Prec@5 75.781 (81.218) Epoch: [48][4580/10010] Time 0.329 (0.328) Data 0.001 (0.001) Loss 1.5824 (1.7789) Prec@1 62.500 (59.521) Prec@5 82.812 (81.217) Epoch: [48][4590/10010] Time 0.324 (0.328) Data 0.001 (0.001) Loss 1.5406 (1.7789) Prec@1 63.281 (59.519) Prec@5 85.156 (81.216) Epoch: [48][4600/10010] Time 0.314 (0.328) Data 0.001 (0.001) Loss 1.8930 (1.7788) Prec@1 51.562 (59.520) Prec@5 78.125 (81.216) Epoch: [48][4610/10010] Time 0.321 (0.328) Data 0.001 (0.001) Loss 1.7668 (1.7789) Prec@1 60.156 (59.517) Prec@5 80.469 (81.216) Epoch: [48][4620/10010] Time 0.335 (0.328) Data 0.001 (0.001) Loss 1.8207 (1.7788) Prec@1 57.031 (59.517) Prec@5 82.031 (81.218) Epoch: [48][4630/10010] Time 0.330 (0.328) Data 0.001 (0.001) Loss 1.7970 (1.7788) Prec@1 61.719 (59.517) Prec@5 81.250 (81.219) Epoch: [48][4640/10010] Time 0.320 (0.328) Data 0.001 (0.001) Loss 1.7532 (1.7789) Prec@1 67.188 (59.516) Prec@5 82.031 (81.217) Epoch: [48][4650/10010] Time 0.327 (0.328) Data 0.000 (0.001) Loss 1.5356 (1.7788) Prec@1 62.500 (59.515) Prec@5 85.156 (81.218) Epoch: [48][4660/10010] Time 0.332 (0.328) Data 0.001 (0.001) Loss 1.7980 (1.7789) Prec@1 57.031 (59.511) Prec@5 79.688 (81.216) Epoch: [48][4670/10010] Time 0.318 (0.328) Data 0.000 (0.001) Loss 2.2232 (1.7791) Prec@1 52.344 (59.508) Prec@5 74.219 (81.214) Epoch: [48][4680/10010] Time 0.328 (0.328) Data 0.001 (0.001) Loss 1.7903 (1.7790) Prec@1 58.594 (59.508) Prec@5 79.688 (81.216) Epoch: [48][4690/10010] Time 0.332 (0.328) Data 0.001 (0.001) Loss 1.7593 (1.7792) Prec@1 58.594 (59.506) Prec@5 79.688 (81.212) Epoch: [48][4700/10010] Time 0.312 (0.328) Data 0.001 (0.001) Loss 1.8476 (1.7792) Prec@1 59.375 (59.502) Prec@5 78.906 (81.212) Epoch: [48][4710/10010] Time 0.336 (0.328) Data 0.000 (0.001) Loss 1.8019 (1.7793) Prec@1 63.281 (59.501) Prec@5 82.031 (81.211) Epoch: [48][4720/10010] Time 0.333 (0.328) Data 0.001 (0.001) Loss 1.6618 (1.7794) Prec@1 60.938 (59.502) Prec@5 83.594 (81.209) Epoch: [48][4730/10010] Time 0.321 (0.328) Data 0.001 (0.001) Loss 2.0064 (1.7795) Prec@1 57.031 (59.504) Prec@5 78.125 (81.211) Epoch: [48][4740/10010] Time 0.327 (0.328) Data 0.001 (0.001) Loss 1.9950 (1.7793) Prec@1 53.906 (59.507) Prec@5 82.031 (81.216) Epoch: [48][4750/10010] Time 0.318 (0.328) Data 0.001 (0.001) Loss 2.0019 (1.7793) Prec@1 48.438 (59.507) Prec@5 79.688 (81.217) Epoch: [48][4760/10010] Time 0.337 (0.328) Data 0.001 (0.001) Loss 2.0584 (1.7795) Prec@1 54.688 (59.504) Prec@5 77.344 (81.214) Epoch: [48][4770/10010] Time 0.343 (0.328) Data 0.000 (0.001) Loss 1.7469 (1.7794) Prec@1 57.031 (59.504) Prec@5 82.031 (81.214) Epoch: [48][4780/10010] Time 0.338 (0.328) Data 0.000 (0.001) Loss 1.6486 (1.7793) Prec@1 64.844 (59.508) Prec@5 84.375 (81.214) Epoch: [48][4790/10010] Time 0.311 (0.328) Data 0.001 (0.001) Loss 1.8171 (1.7792) Prec@1 60.156 (59.511) Prec@5 81.250 (81.216) Epoch: [48][4800/10010] Time 0.327 (0.328) Data 0.001 (0.001) Loss 1.9130 (1.7794) Prec@1 54.688 (59.507) Prec@5 78.125 (81.212) Epoch: [48][4810/10010] Time 0.337 (0.328) Data 0.000 (0.001) Loss 1.6033 (1.7794) Prec@1 64.062 (59.510) Prec@5 82.031 (81.210) Epoch: [48][4820/10010] Time 0.317 (0.328) Data 0.000 (0.001) Loss 1.9120 (1.7796) Prec@1 56.250 (59.503) Prec@5 78.906 (81.207) Epoch: [48][4830/10010] Time 0.324 (0.328) Data 0.001 (0.001) Loss 1.6672 (1.7796) Prec@1 60.938 (59.503) Prec@5 85.156 (81.206) Epoch: [48][4840/10010] Time 0.315 (0.328) Data 0.001 (0.001) Loss 2.0054 (1.7797) Prec@1 55.469 (59.502) Prec@5 74.219 (81.204) Epoch: [48][4850/10010] Time 0.318 (0.328) Data 0.000 (0.001) Loss 1.8262 (1.7799) Prec@1 52.344 (59.499) Prec@5 80.469 (81.200) Epoch: [48][4860/10010] Time 0.319 (0.328) Data 0.000 (0.001) Loss 1.8730 (1.7801) Prec@1 57.031 (59.496) Prec@5 75.781 (81.198) Epoch: [48][4870/10010] Time 0.322 (0.328) Data 0.001 (0.001) Loss 1.6913 (1.7801) Prec@1 62.500 (59.495) Prec@5 82.031 (81.200) Epoch: [48][4880/10010] Time 0.339 (0.328) Data 0.000 (0.001) Loss 1.5092 (1.7802) Prec@1 62.500 (59.490) Prec@5 87.500 (81.198) Epoch: [48][4890/10010] Time 0.337 (0.328) Data 0.001 (0.001) Loss 1.6391 (1.7803) Prec@1 62.500 (59.490) Prec@5 85.156 (81.199) Epoch: [48][4900/10010] Time 0.334 (0.328) Data 0.000 (0.001) Loss 1.8106 (1.7804) Prec@1 61.719 (59.486) Prec@5 85.938 (81.199) Epoch: [48][4910/10010] Time 0.323 (0.328) Data 0.000 (0.001) Loss 1.8145 (1.7806) Prec@1 60.938 (59.486) Prec@5 82.031 (81.196) Epoch: [48][4920/10010] Time 0.337 (0.328) Data 0.001 (0.001) Loss 1.6116 (1.7805) Prec@1 66.406 (59.490) Prec@5 84.375 (81.196) Epoch: [48][4930/10010] Time 0.322 (0.328) Data 0.000 (0.001) Loss 1.8074 (1.7806) Prec@1 62.500 (59.486) Prec@5 79.688 (81.195) Epoch: [48][4940/10010] Time 0.338 (0.328) Data 0.001 (0.001) Loss 1.6585 (1.7805) Prec@1 57.812 (59.488) Prec@5 83.594 (81.196) Epoch: [48][4950/10010] Time 0.318 (0.328) Data 0.001 (0.001) Loss 1.3493 (1.7802) Prec@1 70.312 (59.496) Prec@5 87.500 (81.202) Epoch: [48][4960/10010] Time 0.315 (0.328) Data 0.001 (0.001) Loss 1.4407 (1.7800) Prec@1 68.750 (59.502) Prec@5 85.938 (81.205) Epoch: [48][4970/10010] Time 0.323 (0.328) Data 0.000 (0.001) Loss 1.6393 (1.7799) Prec@1 60.938 (59.501) Prec@5 83.594 (81.206) Epoch: [48][4980/10010] Time 0.326 (0.328) Data 0.001 (0.001) Loss 1.6692 (1.7798) Prec@1 62.500 (59.500) Prec@5 80.469 (81.208) Epoch: [48][4990/10010] Time 0.332 (0.328) Data 0.001 (0.001) Loss 1.7297 (1.7799) Prec@1 62.500 (59.498) Prec@5 78.906 (81.207) Epoch: [48][5000/10010] Time 0.321 (0.328) Data 0.000 (0.001) Loss 1.5967 (1.7799) Prec@1 64.844 (59.496) Prec@5 81.250 (81.206) Epoch: [48][5010/10010] Time 0.332 (0.328) Data 0.001 (0.001) Loss 1.7945 (1.7799) Prec@1 59.375 (59.496) Prec@5 78.125 (81.204) Epoch: [48][5020/10010] Time 0.312 (0.328) Data 0.001 (0.001) Loss 2.1833 (1.7800) Prec@1 55.469 (59.497) Prec@5 79.688 (81.203) Epoch: [48][5030/10010] Time 0.319 (0.328) Data 0.001 (0.001) Loss 1.6933 (1.7802) Prec@1 59.375 (59.497) Prec@5 83.594 (81.201) Epoch: [48][5040/10010] Time 0.319 (0.328) Data 0.001 (0.001) Loss 1.7883 (1.7802) Prec@1 60.156 (59.494) Prec@5 78.906 (81.201) Epoch: [48][5050/10010] Time 0.322 (0.328) Data 0.001 (0.001) Loss 1.4893 (1.7802) Prec@1 64.844 (59.494) Prec@5 84.375 (81.200) Epoch: [48][5060/10010] Time 0.334 (0.328) Data 0.000 (0.001) Loss 1.8790 (1.7801) Prec@1 55.469 (59.496) Prec@5 81.250 (81.201) Epoch: [48][5070/10010] Time 0.323 (0.328) Data 0.001 (0.001) Loss 1.6502 (1.7800) Prec@1 64.062 (59.497) Prec@5 84.375 (81.204) Epoch: [48][5080/10010] Time 0.340 (0.328) Data 0.000 (0.001) Loss 1.7292 (1.7798) Prec@1 60.156 (59.501) Prec@5 82.031 (81.208) Epoch: [48][5090/10010] Time 0.314 (0.328) Data 0.001 (0.001) Loss 1.9407 (1.7799) Prec@1 56.250 (59.501) Prec@5 79.688 (81.207) Epoch: [48][5100/10010] Time 0.317 (0.328) Data 0.001 (0.001) Loss 1.9916 (1.7800) Prec@1 57.031 (59.500) Prec@5 78.125 (81.203) Epoch: [48][5110/10010] Time 0.314 (0.328) Data 0.001 (0.001) Loss 1.7726 (1.7799) Prec@1 57.812 (59.503) Prec@5 78.906 (81.204) Epoch: [48][5120/10010] Time 0.324 (0.328) Data 0.001 (0.001) Loss 1.6291 (1.7798) Prec@1 63.281 (59.508) Prec@5 81.250 (81.207) Epoch: [48][5130/10010] Time 0.333 (0.328) Data 0.001 (0.001) Loss 1.9773 (1.7799) Prec@1 57.812 (59.508) Prec@5 78.906 (81.207) Epoch: [48][5140/10010] Time 0.320 (0.328) Data 0.001 (0.001) Loss 1.7895 (1.7800) Prec@1 60.938 (59.508) Prec@5 79.688 (81.204) Epoch: [48][5150/10010] Time 0.322 (0.328) Data 0.000 (0.001) Loss 1.6141 (1.7800) Prec@1 64.062 (59.510) Prec@5 81.250 (81.203) Epoch: [48][5160/10010] Time 0.331 (0.328) Data 0.001 (0.001) Loss 1.8379 (1.7803) Prec@1 60.156 (59.507) Prec@5 81.250 (81.201) Epoch: [48][5170/10010] Time 0.330 (0.328) Data 0.001 (0.001) Loss 1.8798 (1.7804) Prec@1 63.281 (59.501) Prec@5 78.906 (81.198) Epoch: [48][5180/10010] Time 0.340 (0.328) Data 0.001 (0.001) Loss 1.8202 (1.7804) Prec@1 60.156 (59.499) Prec@5 82.031 (81.202) Epoch: [48][5190/10010] Time 0.315 (0.328) Data 0.001 (0.001) Loss 1.9857 (1.7806) Prec@1 53.906 (59.495) Prec@5 75.781 (81.199) Epoch: [48][5200/10010] Time 0.319 (0.328) Data 0.000 (0.001) Loss 1.6011 (1.7806) Prec@1 57.812 (59.493) Prec@5 85.938 (81.200) Epoch: [48][5210/10010] Time 0.322 (0.328) Data 0.000 (0.001) Loss 1.9430 (1.7804) Prec@1 57.031 (59.496) Prec@5 78.125 (81.206) Epoch: [48][5220/10010] Time 0.331 (0.328) Data 0.001 (0.001) Loss 1.8607 (1.7804) Prec@1 57.031 (59.495) Prec@5 78.906 (81.207) Epoch: [48][5230/10010] Time 0.330 (0.328) Data 0.001 (0.001) Loss 1.7977 (1.7803) Prec@1 54.688 (59.496) Prec@5 81.250 (81.207) Epoch: [48][5240/10010] Time 0.337 (0.328) Data 0.001 (0.001) Loss 1.8419 (1.7803) Prec@1 58.594 (59.497) Prec@5 76.562 (81.208) Epoch: [48][5250/10010] Time 0.326 (0.328) Data 0.000 (0.001) Loss 1.7666 (1.7802) Prec@1 63.281 (59.498) Prec@5 82.812 (81.209) Epoch: [48][5260/10010] Time 0.336 (0.328) Data 0.001 (0.001) Loss 1.7343 (1.7802) Prec@1 57.812 (59.497) Prec@5 84.375 (81.206) Epoch: [48][5270/10010] Time 0.341 (0.328) Data 0.001 (0.001) Loss 1.6819 (1.7803) Prec@1 60.938 (59.498) Prec@5 82.812 (81.205) Epoch: [48][5280/10010] Time 0.326 (0.328) Data 0.001 (0.001) Loss 1.7752 (1.7803) Prec@1 60.156 (59.501) Prec@5 81.250 (81.204) Epoch: [48][5290/10010] Time 0.320 (0.328) Data 0.001 (0.001) Loss 1.8906 (1.7803) Prec@1 54.688 (59.496) Prec@5 75.781 (81.204) Epoch: [48][5300/10010] Time 0.322 (0.328) Data 0.001 (0.001) Loss 1.8847 (1.7804) Prec@1 60.938 (59.497) Prec@5 80.469 (81.204) Epoch: [48][5310/10010] Time 0.317 (0.328) Data 0.001 (0.001) Loss 1.8137 (1.7803) Prec@1 56.250 (59.495) Prec@5 83.594 (81.207) Epoch: [48][5320/10010] Time 0.321 (0.328) Data 0.001 (0.001) Loss 1.8732 (1.7803) Prec@1 53.125 (59.496) Prec@5 82.812 (81.208) Epoch: [48][5330/10010] Time 0.326 (0.328) Data 0.000 (0.001) Loss 1.8294 (1.7804) Prec@1 60.938 (59.496) Prec@5 85.156 (81.207) Epoch: [48][5340/10010] Time 0.334 (0.328) Data 0.001 (0.001) Loss 1.6582 (1.7804) Prec@1 55.469 (59.494) Prec@5 83.594 (81.207) Epoch: [48][5350/10010] Time 0.339 (0.328) Data 0.001 (0.001) Loss 1.8258 (1.7802) Prec@1 58.594 (59.498) Prec@5 80.469 (81.211) Epoch: [48][5360/10010] Time 0.313 (0.328) Data 0.001 (0.001) Loss 1.4745 (1.7801) Prec@1 68.750 (59.499) Prec@5 83.594 (81.213) Epoch: [48][5370/10010] Time 0.338 (0.328) Data 0.001 (0.001) Loss 1.6826 (1.7799) Prec@1 61.719 (59.503) Prec@5 82.031 (81.216) Epoch: [48][5380/10010] Time 0.340 (0.328) Data 0.001 (0.001) Loss 1.5415 (1.7800) Prec@1 63.281 (59.499) Prec@5 82.812 (81.215) Epoch: [48][5390/10010] Time 0.328 (0.328) Data 0.000 (0.001) Loss 1.6585 (1.7802) Prec@1 63.281 (59.497) Prec@5 83.594 (81.213) Epoch: [48][5400/10010] Time 0.335 (0.328) Data 0.001 (0.001) Loss 1.6296 (1.7800) Prec@1 64.844 (59.501) Prec@5 84.375 (81.215) Epoch: [48][5410/10010] Time 0.315 (0.328) Data 0.001 (0.001) Loss 1.7654 (1.7799) Prec@1 56.250 (59.499) Prec@5 78.906 (81.217) Epoch: [48][5420/10010] Time 0.317 (0.328) Data 0.000 (0.001) Loss 2.0157 (1.7797) Prec@1 57.812 (59.503) Prec@5 76.562 (81.216) Epoch: [48][5430/10010] Time 0.337 (0.328) Data 0.001 (0.001) Loss 1.7073 (1.7797) Prec@1 59.375 (59.502) Prec@5 83.594 (81.215) Epoch: [48][5440/10010] Time 0.333 (0.328) Data 0.001 (0.001) Loss 1.8155 (1.7798) Prec@1 53.125 (59.499) Prec@5 78.906 (81.212) Epoch: [48][5450/10010] Time 0.320 (0.328) Data 0.001 (0.001) Loss 1.4136 (1.7798) Prec@1 64.062 (59.499) Prec@5 89.062 (81.213) Epoch: [48][5460/10010] Time 0.341 (0.328) Data 0.000 (0.001) Loss 1.7599 (1.7798) Prec@1 61.719 (59.500) Prec@5 79.688 (81.213) Epoch: [48][5470/10010] Time 0.328 (0.328) Data 0.001 (0.001) Loss 1.7721 (1.7797) Prec@1 60.156 (59.502) Prec@5 81.250 (81.213) Epoch: [48][5480/10010] Time 0.317 (0.328) Data 0.001 (0.001) Loss 1.9815 (1.7799) Prec@1 60.156 (59.500) Prec@5 80.469 (81.209) Epoch: [48][5490/10010] Time 0.333 (0.328) Data 0.000 (0.001) Loss 1.8416 (1.7798) Prec@1 61.719 (59.504) Prec@5 82.031 (81.211) Epoch: [48][5500/10010] Time 0.323 (0.328) Data 0.001 (0.001) Loss 1.5000 (1.7797) Prec@1 64.062 (59.506) Prec@5 86.719 (81.211) Epoch: [48][5510/10010] Time 0.317 (0.328) Data 0.001 (0.001) Loss 2.1110 (1.7797) Prec@1 50.781 (59.505) Prec@5 80.469 (81.211) Epoch: [48][5520/10010] Time 0.322 (0.328) Data 0.001 (0.001) Loss 1.8624 (1.7798) Prec@1 57.031 (59.505) Prec@5 78.125 (81.206) Epoch: [48][5530/10010] Time 0.325 (0.328) Data 0.001 (0.001) Loss 1.6947 (1.7800) Prec@1 62.500 (59.500) Prec@5 80.469 (81.202) Epoch: [48][5540/10010] Time 0.317 (0.328) Data 0.000 (0.001) Loss 1.8102 (1.7800) Prec@1 58.594 (59.501) Prec@5 80.469 (81.203) Epoch: [48][5550/10010] Time 0.324 (0.328) Data 0.001 (0.001) Loss 1.7830 (1.7799) Prec@1 58.594 (59.498) Prec@5 83.594 (81.205) Epoch: [48][5560/10010] Time 0.333 (0.328) Data 0.000 (0.001) Loss 2.0553 (1.7800) Prec@1 53.125 (59.497) Prec@5 75.781 (81.203) Epoch: [48][5570/10010] Time 0.321 (0.328) Data 0.001 (0.001) Loss 1.8987 (1.7802) Prec@1 52.344 (59.490) Prec@5 80.469 (81.199) Epoch: [48][5580/10010] Time 0.326 (0.328) Data 0.000 (0.001) Loss 2.1841 (1.7804) Prec@1 57.812 (59.490) Prec@5 75.781 (81.196) Epoch: [48][5590/10010] Time 0.333 (0.328) Data 0.000 (0.001) Loss 2.0194 (1.7805) Prec@1 52.344 (59.487) Prec@5 75.000 (81.193) Epoch: [48][5600/10010] Time 0.330 (0.328) Data 0.001 (0.001) Loss 1.8025 (1.7805) Prec@1 57.812 (59.484) Prec@5 80.469 (81.193) Epoch: [48][5610/10010] Time 0.337 (0.328) Data 0.001 (0.001) Loss 1.7547 (1.7806) Prec@1 58.594 (59.482) Prec@5 81.250 (81.193) Epoch: [48][5620/10010] Time 0.327 (0.328) Data 0.001 (0.001) Loss 1.9144 (1.7806) Prec@1 54.688 (59.482) Prec@5 79.688 (81.191) Epoch: [48][5630/10010] Time 0.338 (0.328) Data 0.000 (0.001) Loss 1.7954 (1.7805) Prec@1 57.031 (59.485) Prec@5 82.031 (81.195) Epoch: [48][5640/10010] Time 0.338 (0.328) Data 0.001 (0.001) Loss 2.0629 (1.7806) Prec@1 60.156 (59.486) Prec@5 77.344 (81.193) Epoch: [48][5650/10010] Time 0.332 (0.328) Data 0.001 (0.001) Loss 1.6739 (1.7806) Prec@1 67.969 (59.487) Prec@5 82.812 (81.193) Epoch: [48][5660/10010] Time 0.317 (0.328) Data 0.001 (0.001) Loss 2.1485 (1.7807) Prec@1 50.000 (59.484) Prec@5 74.219 (81.190) Epoch: [48][5670/10010] Time 0.330 (0.328) Data 0.001 (0.001) Loss 1.8365 (1.7808) Prec@1 60.156 (59.483) Prec@5 78.906 (81.188) Epoch: [48][5680/10010] Time 0.320 (0.328) Data 0.001 (0.001) Loss 1.8118 (1.7806) Prec@1 60.938 (59.485) Prec@5 84.375 (81.191) Epoch: [48][5690/10010] Time 0.339 (0.328) Data 0.001 (0.001) Loss 2.0033 (1.7807) Prec@1 53.906 (59.482) Prec@5 76.562 (81.187) Epoch: [48][5700/10010] Time 0.319 (0.328) Data 0.001 (0.001) Loss 1.4526 (1.7807) Prec@1 67.969 (59.484) Prec@5 85.156 (81.188) Epoch: [48][5710/10010] Time 0.319 (0.328) Data 0.001 (0.001) Loss 2.1108 (1.7807) Prec@1 56.250 (59.484) Prec@5 75.000 (81.184) Epoch: [48][5720/10010] Time 0.340 (0.328) Data 0.001 (0.001) Loss 1.9453 (1.7808) Prec@1 57.031 (59.484) Prec@5 78.125 (81.181) Epoch: [48][5730/10010] Time 0.328 (0.328) Data 0.001 (0.001) Loss 1.8675 (1.7805) Prec@1 58.594 (59.488) Prec@5 77.344 (81.185) Epoch: [48][5740/10010] Time 0.334 (0.328) Data 0.001 (0.001) Loss 1.8990 (1.7806) Prec@1 58.594 (59.488) Prec@5 78.125 (81.183) /data/vision/torralba/deepscene/lib/anaconda2/lib/python2.7/site-packages/PIL/TiffImagePlugin.py:692: UserWarning: Possibly corrupt EXIF data. Expecting to read 2555904 bytes but only got 0. Skipping tag 0 "Skipping tag %s" % (size, len(data), tag)) Epoch: [48][5750/10010] Time 0.347 (0.328) Data 0.001 (0.001) Loss 1.8112 (1.7805) Prec@1 60.156 (59.488) Prec@5 84.375 (81.184) Epoch: [48][5760/10010] Time 0.321 (0.328) Data 0.000 (0.001) Loss 1.5736 (1.7806) Prec@1 62.500 (59.484) Prec@5 85.938 (81.184) Epoch: [48][5770/10010] Time 0.319 (0.328) Data 0.001 (0.001) Loss 1.7706 (1.7806) Prec@1 63.281 (59.483) Prec@5 85.938 (81.185) Epoch: [48][5780/10010] Time 0.314 (0.328) Data 0.001 (0.001) Loss 1.7844 (1.7805) Prec@1 60.156 (59.484) Prec@5 78.906 (81.185) Epoch: [48][5790/10010] Time 0.339 (0.328) Data 0.001 (0.001) Loss 1.9241 (1.7803) Prec@1 54.688 (59.486) Prec@5 74.219 (81.186) Epoch: [48][5800/10010] Time 0.312 (0.328) Data 0.001 (0.001) Loss 1.7661 (1.7802) Prec@1 58.594 (59.489) Prec@5 82.812 (81.188) Epoch: [48][5810/10010] Time 0.312 (0.328) Data 0.001 (0.001) Loss 1.8260 (1.7800) Prec@1 56.250 (59.494) Prec@5 82.812 (81.191) Epoch: [48][5820/10010] Time 0.314 (0.328) Data 0.001 (0.001) Loss 2.1561 (1.7801) Prec@1 53.906 (59.491) Prec@5 75.000 (81.190) Epoch: [48][5830/10010] Time 0.340 (0.328) Data 0.000 (0.001) Loss 1.6708 (1.7801) Prec@1 61.719 (59.492) Prec@5 80.469 (81.190) Epoch: [48][5840/10010] Time 0.331 (0.328) Data 0.001 (0.001) Loss 1.4684 (1.7801) Prec@1 64.062 (59.493) Prec@5 84.375 (81.191) Epoch: [48][5850/10010] Time 0.332 (0.328) Data 0.001 (0.001) Loss 1.6960 (1.7802) Prec@1 60.938 (59.490) Prec@5 82.031 (81.190) Epoch: [48][5860/10010] Time 0.337 (0.328) Data 0.000 (0.001) Loss 1.7303 (1.7803) Prec@1 62.500 (59.491) Prec@5 82.031 (81.189) Epoch: [48][5870/10010] Time 0.316 (0.328) Data 0.000 (0.001) Loss 1.7674 (1.7803) Prec@1 62.500 (59.489) Prec@5 80.469 (81.186) Epoch: [48][5880/10010] Time 0.317 (0.328) Data 0.001 (0.001) Loss 1.7389 (1.7802) Prec@1 58.594 (59.492) Prec@5 82.812 (81.187) Epoch: [48][5890/10010] Time 0.316 (0.328) Data 0.001 (0.001) Loss 1.9041 (1.7804) Prec@1 48.438 (59.486) Prec@5 82.031 (81.185) /data/vision/torralba/deepscene/lib/anaconda2/lib/python2.7/site-packages/PIL/TiffImagePlugin.py:692: UserWarning: Possibly corrupt EXIF data. Expecting to read 2555904 bytes but only got 0. Skipping tag 0 "Skipping tag %s" % (size, len(data), tag)) Epoch: [48][5900/10010] Time 0.333 (0.328) Data 0.001 (0.001) Loss 1.4313 (1.7802) Prec@1 64.062 (59.488) Prec@5 85.156 (81.188) Epoch: [48][5910/10010] Time 0.313 (0.328) Data 0.001 (0.001) Loss 1.6720 (1.7801) Prec@1 57.031 (59.490) Prec@5 83.594 (81.190) Epoch: [48][5920/10010] Time 0.337 (0.328) Data 0.000 (0.001) Loss 1.5624 (1.7802) Prec@1 65.625 (59.488) Prec@5 82.031 (81.188) Epoch: [48][5930/10010] Time 0.328 (0.328) Data 0.001 (0.001) Loss 1.5900 (1.7799) Prec@1 60.938 (59.491) Prec@5 85.156 (81.193) Epoch: [48][5940/10010] Time 0.317 (0.328) Data 0.001 (0.001) Loss 1.7592 (1.7800) Prec@1 64.062 (59.490) Prec@5 82.812 (81.194) Epoch: [48][5950/10010] Time 0.332 (0.328) Data 0.001 (0.001) Loss 1.5349 (1.7801) Prec@1 63.281 (59.487) Prec@5 85.156 (81.193) Epoch: [48][5960/10010] Time 0.335 (0.328) Data 0.001 (0.001) Loss 1.6959 (1.7802) Prec@1 58.594 (59.485) Prec@5 85.938 (81.193) Epoch: [48][5970/10010] Time 0.322 (0.328) Data 0.001 (0.001) Loss 1.5635 (1.7802) Prec@1 67.969 (59.484) Prec@5 82.812 (81.192) Epoch: [48][5980/10010] Time 0.330 (0.328) Data 0.001 (0.001) Loss 1.5281 (1.7803) Prec@1 65.625 (59.481) Prec@5 85.938 (81.192) Epoch: [48][5990/10010] Time 0.332 (0.327) Data 0.001 (0.001) Loss 1.9319 (1.7804) Prec@1 52.344 (59.479) Prec@5 81.250 (81.191) Epoch: [48][6000/10010] Time 0.336 (0.327) Data 0.000 (0.001) Loss 1.6866 (1.7802) Prec@1 63.281 (59.480) Prec@5 82.812 (81.193) Epoch: [48][6010/10010] Time 0.319 (0.327) Data 0.000 (0.001) Loss 1.4554 (1.7802) Prec@1 64.844 (59.482) Prec@5 86.719 (81.193) Epoch: [48][6020/10010] Time 0.321 (0.327) Data 0.001 (0.001) Loss 1.8162 (1.7802) Prec@1 59.375 (59.485) Prec@5 78.125 (81.194) Epoch: [48][6030/10010] Time 0.334 (0.327) Data 0.001 (0.001) Loss 1.5430 (1.7801) Prec@1 64.844 (59.489) Prec@5 83.594 (81.194) Epoch: [48][6040/10010] Time 0.340 (0.327) Data 0.001 (0.001) Loss 1.6312 (1.7801) Prec@1 63.281 (59.490) Prec@5 83.594 (81.195) Epoch: [48][6050/10010] Time 0.335 (0.328) Data 0.000 (0.001) Loss 1.5853 (1.7800) Prec@1 66.406 (59.491) Prec@5 85.156 (81.194) Epoch: [48][6060/10010] Time 0.318 (0.328) Data 0.001 (0.001) Loss 1.6819 (1.7800) Prec@1 59.375 (59.490) Prec@5 82.812 (81.195) Epoch: [48][6070/10010] Time 0.333 (0.328) Data 0.001 (0.001) Loss 1.9678 (1.7800) Prec@1 57.812 (59.490) Prec@5 77.344 (81.195) Epoch: [48][6080/10010] Time 0.325 (0.328) Data 0.001 (0.001) Loss 1.6719 (1.7800) Prec@1 64.844 (59.488) Prec@5 82.031 (81.194) Epoch: [48][6090/10010] Time 0.320 (0.328) Data 0.001 (0.001) Loss 1.5286 (1.7800) Prec@1 63.281 (59.489) Prec@5 85.938 (81.194) Epoch: [48][6100/10010] Time 0.319 (0.328) Data 0.001 (0.001) Loss 2.0060 (1.7801) Prec@1 56.250 (59.488) Prec@5 77.344 (81.191) Epoch: [48][6110/10010] Time 0.328 (0.328) Data 0.001 (0.001) Loss 1.8780 (1.7801) Prec@1 60.156 (59.487) Prec@5 80.469 (81.191) Epoch: [48][6120/10010] Time 0.336 (0.328) Data 0.000 (0.001) Loss 1.8254 (1.7801) Prec@1 58.594 (59.487) Prec@5 81.250 (81.188) Epoch: [48][6130/10010] Time 0.316 (0.328) Data 0.000 (0.001) Loss 1.5408 (1.7802) Prec@1 70.312 (59.486) Prec@5 85.938 (81.187) Epoch: [48][6140/10010] Time 0.320 (0.328) Data 0.000 (0.001) Loss 1.4174 (1.7802) Prec@1 60.938 (59.485) Prec@5 86.719 (81.185) Epoch: [48][6150/10010] Time 0.335 (0.328) Data 0.001 (0.001) Loss 1.7781 (1.7802) Prec@1 60.938 (59.483) Prec@5 79.688 (81.185) Epoch: [48][6160/10010] Time 0.334 (0.328) Data 0.000 (0.001) Loss 1.5123 (1.7803) Prec@1 64.062 (59.482) Prec@5 88.281 (81.184) Epoch: [48][6170/10010] Time 0.332 (0.328) Data 0.001 (0.001) Loss 1.6090 (1.7803) Prec@1 59.375 (59.482) Prec@5 83.594 (81.184) Epoch: [48][6180/10010] Time 0.338 (0.328) Data 0.001 (0.001) Loss 1.7801 (1.7800) Prec@1 60.156 (59.486) Prec@5 81.250 (81.188) Epoch: [48][6190/10010] Time 0.332 (0.328) Data 0.001 (0.001) Loss 1.4564 (1.7800) Prec@1 60.938 (59.485) Prec@5 88.281 (81.188) Epoch: [48][6200/10010] Time 0.322 (0.328) Data 0.001 (0.001) Loss 1.7675 (1.7799) Prec@1 60.938 (59.487) Prec@5 81.250 (81.191) Epoch: [48][6210/10010] Time 0.323 (0.328) Data 0.001 (0.001) Loss 1.3434 (1.7798) Prec@1 68.750 (59.491) Prec@5 89.062 (81.193) Epoch: [48][6220/10010] Time 0.329 (0.328) Data 0.001 (0.001) Loss 1.8534 (1.7797) Prec@1 57.031 (59.493) Prec@5 78.906 (81.194) Epoch: [48][6230/10010] Time 0.327 (0.328) Data 0.001 (0.001) Loss 1.4481 (1.7798) Prec@1 64.062 (59.493) Prec@5 86.719 (81.194) Epoch: [48][6240/10010] Time 0.340 (0.328) Data 0.001 (0.001) Loss 1.7454 (1.7799) Prec@1 58.594 (59.492) Prec@5 81.250 (81.193) Epoch: [48][6250/10010] Time 0.313 (0.328) Data 0.001 (0.001) Loss 1.6459 (1.7799) Prec@1 59.375 (59.492) Prec@5 82.031 (81.193) Epoch: [48][6260/10010] Time 0.338 (0.328) Data 0.001 (0.001) Loss 1.7262 (1.7799) Prec@1 56.250 (59.491) Prec@5 82.031 (81.193) Epoch: [48][6270/10010] Time 0.332 (0.328) Data 0.001 (0.001) Loss 1.9277 (1.7798) Prec@1 58.594 (59.494) Prec@5 82.031 (81.196) Epoch: [48][6280/10010] Time 0.311 (0.328) Data 0.001 (0.001) Loss 2.0746 (1.7800) Prec@1 57.031 (59.492) Prec@5 78.906 (81.195) Epoch: [48][6290/10010] Time 0.325 (0.328) Data 0.000 (0.001) Loss 1.8975 (1.7801) Prec@1 56.250 (59.488) Prec@5 79.688 (81.194) Epoch: [48][6300/10010] Time 0.339 (0.328) Data 0.000 (0.001) Loss 2.1577 (1.7802) Prec@1 56.250 (59.485) Prec@5 75.000 (81.192) Epoch: [48][6310/10010] Time 0.324 (0.328) Data 0.001 (0.001) Loss 1.8090 (1.7802) Prec@1 58.594 (59.487) Prec@5 83.594 (81.193) Epoch: [48][6320/10010] Time 0.343 (0.328) Data 0.000 (0.001) Loss 1.7380 (1.7802) Prec@1 60.938 (59.489) Prec@5 82.812 (81.195) Epoch: [48][6330/10010] Time 0.318 (0.328) Data 0.000 (0.001) Loss 1.8942 (1.7802) Prec@1 58.594 (59.486) Prec@5 81.250 (81.195) Epoch: [48][6340/10010] Time 0.319 (0.328) Data 0.001 (0.001) Loss 1.7533 (1.7803) Prec@1 57.031 (59.484) Prec@5 82.031 (81.194) Epoch: [48][6350/10010] Time 0.317 (0.328) Data 0.001 (0.001) Loss 1.7545 (1.7803) Prec@1 58.594 (59.484) Prec@5 82.031 (81.193) Epoch: [48][6360/10010] Time 0.318 (0.328) Data 0.000 (0.001) Loss 1.7691 (1.7802) Prec@1 62.500 (59.484) Prec@5 81.250 (81.196) Epoch: [48][6370/10010] Time 0.324 (0.328) Data 0.001 (0.001) Loss 1.5983 (1.7801) Prec@1 64.062 (59.485) Prec@5 80.469 (81.196) Epoch: [48][6380/10010] Time 0.338 (0.328) Data 0.001 (0.001) Loss 1.9893 (1.7803) Prec@1 57.812 (59.483) Prec@5 81.250 (81.195) Epoch: [48][6390/10010] Time 0.329 (0.328) Data 0.001 (0.001) Loss 1.9826 (1.7805) Prec@1 60.156 (59.482) Prec@5 79.688 (81.190) Epoch: [48][6400/10010] Time 0.324 (0.328) Data 0.001 (0.001) Loss 1.6433 (1.7806) Prec@1 61.719 (59.480) Prec@5 82.031 (81.189) Epoch: [48][6410/10010] Time 0.326 (0.328) Data 0.001 (0.001) Loss 1.9639 (1.7805) Prec@1 50.781 (59.480) Prec@5 77.344 (81.191) Epoch: [48][6420/10010] Time 0.337 (0.328) Data 0.001 (0.001) Loss 1.6950 (1.7804) Prec@1 67.969 (59.483) Prec@5 83.594 (81.192) Epoch: [48][6430/10010] Time 0.320 (0.328) Data 0.001 (0.001) Loss 1.9620 (1.7805) Prec@1 56.250 (59.484) Prec@5 75.781 (81.189) Epoch: [48][6440/10010] Time 0.317 (0.328) Data 0.000 (0.001) Loss 1.8496 (1.7805) Prec@1 60.938 (59.483) Prec@5 80.469 (81.189) Epoch: [48][6450/10010] Time 0.341 (0.328) Data 0.000 (0.001) Loss 1.6742 (1.7805) Prec@1 64.844 (59.486) Prec@5 82.812 (81.190) Epoch: [48][6460/10010] Time 0.333 (0.328) Data 0.001 (0.001) Loss 1.4919 (1.7805) Prec@1 68.750 (59.486) Prec@5 83.594 (81.189) Epoch: [48][6470/10010] Time 0.344 (0.328) Data 0.001 (0.001) Loss 1.7910 (1.7806) Prec@1 60.938 (59.483) Prec@5 82.812 (81.186) Epoch: [48][6480/10010] Time 0.318 (0.328) Data 0.001 (0.001) Loss 1.7367 (1.7806) Prec@1 60.938 (59.482) Prec@5 82.812 (81.186) /data/vision/torralba/deepscene/lib/anaconda2/lib/python2.7/site-packages/PIL/TiffImagePlugin.py:692: UserWarning: Possibly corrupt EXIF data. Expecting to read 19660800 bytes but only got 0. Skipping tag 0 "Skipping tag %s" % (size, len(data), tag)) /data/vision/torralba/deepscene/lib/anaconda2/lib/python2.7/site-packages/PIL/TiffImagePlugin.py:692: UserWarning: Possibly corrupt EXIF data. Expecting to read 18481152 bytes but only got 0. Skipping tag 0 "Skipping tag %s" % (size, len(data), tag)) /data/vision/torralba/deepscene/lib/anaconda2/lib/python2.7/site-packages/PIL/TiffImagePlugin.py:692: UserWarning: Possibly corrupt EXIF data. Expecting to read 37093376 bytes but only got 0. Skipping tag 0 "Skipping tag %s" % (size, len(data), tag)) /data/vision/torralba/deepscene/lib/anaconda2/lib/python2.7/site-packages/PIL/TiffImagePlugin.py:692: UserWarning: Possibly corrupt EXIF data. Expecting to read 39976960 bytes but only got 0. Skipping tag 0 "Skipping tag %s" % (size, len(data), tag)) /data/vision/torralba/deepscene/lib/anaconda2/lib/python2.7/site-packages/PIL/TiffImagePlugin.py:692: UserWarning: Possibly corrupt EXIF data. Expecting to read 34865152 bytes but only got 0. Skipping tag 0 "Skipping tag %s" % (size, len(data), tag)) /data/vision/torralba/deepscene/lib/anaconda2/lib/python2.7/site-packages/PIL/TiffImagePlugin.py:709: UserWarning: Corrupt EXIF data. Expecting to read 12 bytes but only got 10. warnings.warn(str(msg)) Epoch: [48][6490/10010] Time 0.339 (0.328) Data 0.001 (0.001) Loss 2.0989 (1.7806) Prec@1 53.906 (59.483) Prec@5 73.438 (81.185) Epoch: [48][6500/10010] Time 0.328 (0.328) Data 0.001 (0.001) Loss 1.5048 (1.7806) Prec@1 65.625 (59.482) Prec@5 82.812 (81.185) Epoch: [48][6510/10010] Time 0.316 (0.328) Data 0.001 (0.001) Loss 1.8953 (1.7806) Prec@1 54.688 (59.483) Prec@5 80.469 (81.185) Epoch: [48][6520/10010] Time 0.318 (0.328) Data 0.001 (0.001) Loss 1.9096 (1.7807) Prec@1 61.719 (59.480) Prec@5 77.344 (81.183) Epoch: [48][6530/10010] Time 0.339 (0.328) Data 0.001 (0.001) Loss 1.9193 (1.7808) Prec@1 56.250 (59.477) Prec@5 81.250 (81.180) Epoch: [48][6540/10010] Time 0.321 (0.328) Data 0.001 (0.001) Loss 1.5792 (1.7809) Prec@1 64.062 (59.478) Prec@5 86.719 (81.180) Epoch: [48][6550/10010] Time 0.316 (0.328) Data 0.001 (0.001) Loss 2.0827 (1.7810) Prec@1 53.125 (59.475) Prec@5 78.906 (81.180) Epoch: [48][6560/10010] Time 0.314 (0.328) Data 0.000 (0.001) Loss 1.7865 (1.7810) Prec@1 58.594 (59.475) Prec@5 81.250 (81.180) Epoch: [48][6570/10010] Time 0.320 (0.328) Data 0.001 (0.001) Loss 1.5191 (1.7811) Prec@1 66.406 (59.476) Prec@5 84.375 (81.179) Epoch: [48][6580/10010] Time 0.311 (0.328) Data 0.001 (0.001) Loss 1.6554 (1.7811) Prec@1 63.281 (59.473) Prec@5 81.250 (81.177) Epoch: [48][6590/10010] Time 0.319 (0.327) Data 0.000 (0.001) Loss 2.3434 (1.7812) Prec@1 48.438 (59.470) Prec@5 71.094 (81.176) Epoch: [48][6600/10010] Time 0.314 (0.327) Data 0.001 (0.001) Loss 1.5229 (1.7812) Prec@1 64.062 (59.466) Prec@5 88.281 (81.176) Epoch: [48][6610/10010] Time 0.336 (0.327) Data 0.001 (0.001) Loss 1.9052 (1.7813) Prec@1 57.812 (59.467) Prec@5 79.688 (81.176) Epoch: [48][6620/10010] Time 0.336 (0.327) Data 0.001 (0.001) Loss 1.7659 (1.7813) Prec@1 54.688 (59.467) Prec@5 84.375 (81.176) Epoch: [48][6630/10010] Time 0.317 (0.327) Data 0.001 (0.001) Loss 1.7781 (1.7813) Prec@1 62.500 (59.468) Prec@5 82.031 (81.174) Epoch: [48][6640/10010] Time 0.316 (0.327) Data 0.000 (0.001) Loss 1.6180 (1.7814) Prec@1 59.375 (59.468) Prec@5 82.812 (81.174) Epoch: [48][6650/10010] Time 0.329 (0.327) Data 0.001 (0.001) Loss 1.8535 (1.7813) Prec@1 59.375 (59.468) Prec@5 78.125 (81.175) Epoch: [48][6660/10010] Time 0.326 (0.327) Data 0.001 (0.001) Loss 1.8408 (1.7815) Prec@1 57.812 (59.466) Prec@5 77.344 (81.172) Epoch: [48][6670/10010] Time 0.335 (0.327) Data 0.001 (0.001) Loss 1.4710 (1.7817) Prec@1 65.625 (59.464) Prec@5 85.938 (81.170) Epoch: [48][6680/10010] Time 0.318 (0.327) Data 0.001 (0.001) Loss 1.6480 (1.7817) Prec@1 64.062 (59.463) Prec@5 82.031 (81.169) Epoch: [48][6690/10010] Time 0.333 (0.327) Data 0.001 (0.001) Loss 1.6319 (1.7817) Prec@1 57.812 (59.462) Prec@5 84.375 (81.170) Epoch: [48][6700/10010] Time 0.337 (0.327) Data 0.001 (0.001) Loss 2.0623 (1.7818) Prec@1 55.469 (59.461) Prec@5 78.125 (81.169) Epoch: [48][6710/10010] Time 0.335 (0.327) Data 0.000 (0.001) Loss 1.9481 (1.7816) Prec@1 53.125 (59.464) Prec@5 78.906 (81.171) Epoch: [48][6720/10010] Time 0.325 (0.327) Data 0.001 (0.001) Loss 1.6557 (1.7818) Prec@1 60.938 (59.462) Prec@5 82.812 (81.168) Epoch: [48][6730/10010] Time 0.329 (0.327) Data 0.001 (0.001) Loss 1.9379 (1.7818) Prec@1 57.031 (59.463) Prec@5 78.125 (81.168) Epoch: [48][6740/10010] Time 0.321 (0.327) Data 0.001 (0.001) Loss 1.6711 (1.7818) Prec@1 66.406 (59.463) Prec@5 78.906 (81.167) Epoch: [48][6750/10010] Time 0.317 (0.327) Data 0.000 (0.001) Loss 1.8953 (1.7818) Prec@1 53.125 (59.464) Prec@5 82.812 (81.169) Epoch: [48][6760/10010] Time 0.326 (0.327) Data 0.001 (0.001) Loss 1.5914 (1.7817) Prec@1 60.156 (59.467) Prec@5 84.375 (81.172) Epoch: [48][6770/10010] Time 0.319 (0.327) Data 0.001 (0.001) Loss 1.9183 (1.7816) Prec@1 51.562 (59.467) Prec@5 80.469 (81.173) Epoch: [48][6780/10010] Time 0.332 (0.327) Data 0.001 (0.001) Loss 1.8534 (1.7817) Prec@1 59.375 (59.466) Prec@5 84.375 (81.172) Epoch: [48][6790/10010] Time 0.332 (0.327) Data 0.001 (0.001) Loss 2.0000 (1.7819) Prec@1 50.781 (59.462) Prec@5 75.781 (81.168) Epoch: [48][6800/10010] Time 0.332 (0.327) Data 0.000 (0.001) Loss 1.7213 (1.7820) Prec@1 60.156 (59.461) Prec@5 80.469 (81.165) Epoch: [48][6810/10010] Time 0.321 (0.327) Data 0.001 (0.001) Loss 1.8649 (1.7819) Prec@1 58.594 (59.462) Prec@5 80.469 (81.167) Epoch: [48][6820/10010] Time 0.337 (0.327) Data 0.000 (0.001) Loss 1.7354 (1.7819) Prec@1 60.938 (59.465) Prec@5 83.594 (81.168) Epoch: [48][6830/10010] Time 0.341 (0.327) Data 0.000 (0.001) Loss 1.6899 (1.7819) Prec@1 62.500 (59.463) Prec@5 81.250 (81.167) Epoch: [48][6840/10010] Time 0.319 (0.327) Data 0.001 (0.001) Loss 2.0455 (1.7819) Prec@1 56.250 (59.463) Prec@5 76.562 (81.167) Epoch: [48][6850/10010] Time 0.324 (0.327) Data 0.000 (0.001) Loss 1.6504 (1.7817) Prec@1 63.281 (59.466) Prec@5 83.594 (81.169) Epoch: [48][6860/10010] Time 0.326 (0.327) Data 0.001 (0.001) Loss 1.5974 (1.7817) Prec@1 60.938 (59.466) Prec@5 82.812 (81.169) Epoch: [48][6870/10010] Time 0.325 (0.327) Data 0.001 (0.001) Loss 1.7545 (1.7818) Prec@1 57.812 (59.463) Prec@5 80.469 (81.169) Epoch: [48][6880/10010] Time 0.339 (0.327) Data 0.001 (0.001) Loss 1.9090 (1.7819) Prec@1 57.812 (59.460) Prec@5 75.781 (81.167) Epoch: [48][6890/10010] Time 0.317 (0.327) Data 0.001 (0.001) Loss 2.0419 (1.7819) Prec@1 54.688 (59.461) Prec@5 79.688 (81.167) Epoch: [48][6900/10010] Time 0.321 (0.327) Data 0.001 (0.001) Loss 1.9350 (1.7819) Prec@1 57.812 (59.459) Prec@5 79.688 (81.166) Epoch: [48][6910/10010] Time 0.341 (0.327) Data 0.000 (0.001) Loss 1.8695 (1.7820) Prec@1 63.281 (59.460) Prec@5 75.000 (81.164) Epoch: [48][6920/10010] Time 0.316 (0.327) Data 0.001 (0.001) Loss 1.8087 (1.7820) Prec@1 60.156 (59.461) Prec@5 81.250 (81.165) Epoch: [48][6930/10010] Time 0.324 (0.327) Data 0.001 (0.001) Loss 1.8220 (1.7820) Prec@1 59.375 (59.460) Prec@5 84.375 (81.165) Epoch: [48][6940/10010] Time 0.333 (0.327) Data 0.001 (0.001) Loss 1.7072 (1.7820) Prec@1 60.156 (59.460) Prec@5 80.469 (81.166) Epoch: [48][6950/10010] Time 0.329 (0.327) Data 0.000 (0.001) Loss 1.8098 (1.7820) Prec@1 57.812 (59.461) Prec@5 75.000 (81.165) Epoch: [48][6960/10010] Time 0.331 (0.327) Data 0.000 (0.001) Loss 1.6136 (1.7819) Prec@1 67.188 (59.464) Prec@5 84.375 (81.166) Epoch: [48][6970/10010] Time 0.312 (0.327) Data 0.001 (0.001) Loss 1.9395 (1.7821) Prec@1 56.250 (59.459) Prec@5 80.469 (81.161) Epoch: [48][6980/10010] Time 0.333 (0.327) Data 0.001 (0.001) Loss 1.8913 (1.7822) Prec@1 58.594 (59.457) Prec@5 78.125 (81.160) Epoch: [48][6990/10010] Time 0.335 (0.327) Data 0.001 (0.001) Loss 1.6876 (1.7823) Prec@1 54.688 (59.454) Prec@5 80.469 (81.159) Epoch: [48][7000/10010] Time 0.336 (0.327) Data 0.000 (0.001) Loss 2.0935 (1.7824) Prec@1 47.656 (59.450) Prec@5 80.469 (81.159) Epoch: [48][7010/10010] Time 0.326 (0.327) Data 0.001 (0.001) Loss 1.4554 (1.7823) Prec@1 66.406 (59.451) Prec@5 84.375 (81.159) Epoch: [48][7020/10010] Time 0.315 (0.327) Data 0.001 (0.001) Loss 1.8751 (1.7823) Prec@1 56.250 (59.451) Prec@5 80.469 (81.160) Epoch: [48][7030/10010] Time 0.317 (0.327) Data 0.001 (0.001) Loss 1.7158 (1.7824) Prec@1 58.594 (59.449) Prec@5 79.688 (81.159) Epoch: [48][7040/10010] Time 0.320 (0.327) Data 0.001 (0.001) Loss 1.9586 (1.7825) Prec@1 54.688 (59.450) Prec@5 78.125 (81.157) Epoch: [48][7050/10010] Time 0.331 (0.327) Data 0.001 (0.001) Loss 1.6264 (1.7824) Prec@1 59.375 (59.451) Prec@5 81.250 (81.160) Epoch: [48][7060/10010] Time 0.319 (0.327) Data 0.001 (0.001) Loss 1.7400 (1.7824) Prec@1 62.500 (59.452) Prec@5 81.250 (81.161) Epoch: [48][7070/10010] Time 0.336 (0.327) Data 0.001 (0.001) Loss 1.9044 (1.7824) Prec@1 54.688 (59.450) Prec@5 79.688 (81.163) Epoch: [48][7080/10010] Time 0.338 (0.327) Data 0.001 (0.001) Loss 1.7501 (1.7824) Prec@1 61.719 (59.451) Prec@5 85.156 (81.164) Epoch: [48][7090/10010] Time 0.318 (0.327) Data 0.001 (0.001) Loss 1.9493 (1.7823) Prec@1 55.469 (59.452) Prec@5 79.688 (81.163) Epoch: [48][7100/10010] Time 0.323 (0.327) Data 0.001 (0.001) Loss 1.8111 (1.7824) Prec@1 57.031 (59.451) Prec@5 84.375 (81.162) Epoch: [48][7110/10010] Time 0.318 (0.327) Data 0.001 (0.001) Loss 1.9378 (1.7826) Prec@1 57.812 (59.450) Prec@5 79.688 (81.160) Epoch: [48][7120/10010] Time 0.332 (0.327) Data 0.001 (0.001) Loss 1.6846 (1.7826) Prec@1 60.938 (59.448) Prec@5 82.031 (81.160) Epoch: [48][7130/10010] Time 0.335 (0.327) Data 0.001 (0.001) Loss 1.6774 (1.7826) Prec@1 60.938 (59.449) Prec@5 79.688 (81.160) Epoch: [48][7140/10010] Time 0.339 (0.327) Data 0.000 (0.001) Loss 1.6520 (1.7824) Prec@1 61.719 (59.451) Prec@5 81.250 (81.161) Epoch: [48][7150/10010] Time 0.315 (0.327) Data 0.001 (0.001) Loss 1.6534 (1.7823) Prec@1 59.375 (59.452) Prec@5 83.594 (81.163) Epoch: [48][7160/10010] Time 0.318 (0.327) Data 0.001 (0.001) Loss 1.8441 (1.7824) Prec@1 58.594 (59.452) Prec@5 75.000 (81.160) Epoch: [48][7170/10010] Time 0.324 (0.327) Data 0.001 (0.001) Loss 2.1611 (1.7825) Prec@1 55.469 (59.449) Prec@5 73.438 (81.159) Epoch: [48][7180/10010] Time 0.321 (0.327) Data 0.001 (0.001) Loss 1.6648 (1.7825) Prec@1 62.500 (59.449) Prec@5 83.594 (81.158) Epoch: [48][7190/10010] Time 0.319 (0.327) Data 0.001 (0.001) Loss 1.7262 (1.7826) Prec@1 60.156 (59.449) Prec@5 82.812 (81.158) Epoch: [48][7200/10010] Time 0.330 (0.327) Data 0.001 (0.001) Loss 1.5852 (1.7826) Prec@1 64.062 (59.448) Prec@5 83.594 (81.158) Epoch: [48][7210/10010] Time 0.330 (0.327) Data 0.001 (0.001) Loss 1.3606 (1.7824) Prec@1 72.656 (59.454) Prec@5 84.375 (81.160) Epoch: [48][7220/10010] Time 0.340 (0.327) Data 0.000 (0.001) Loss 1.6761 (1.7824) Prec@1 60.156 (59.454) Prec@5 81.250 (81.159) Epoch: [48][7230/10010] Time 0.319 (0.327) Data 0.000 (0.001) Loss 2.0850 (1.7825) Prec@1 57.031 (59.454) Prec@5 74.219 (81.157) Epoch: [48][7240/10010] Time 0.321 (0.327) Data 0.000 (0.001) Loss 1.6563 (1.7825) Prec@1 60.938 (59.452) Prec@5 80.469 (81.157) Epoch: [48][7250/10010] Time 0.339 (0.327) Data 0.001 (0.001) Loss 1.8014 (1.7825) Prec@1 60.938 (59.451) Prec@5 82.031 (81.156) Epoch: [48][7260/10010] Time 0.330 (0.327) Data 0.001 (0.001) Loss 1.7719 (1.7826) Prec@1 57.031 (59.450) Prec@5 83.594 (81.155) Epoch: [48][7270/10010] Time 0.326 (0.327) Data 0.001 (0.001) Loss 1.8014 (1.7825) Prec@1 57.812 (59.452) Prec@5 81.250 (81.156) Epoch: [48][7280/10010] Time 0.328 (0.327) Data 0.001 (0.001) Loss 1.9647 (1.7827) Prec@1 55.469 (59.446) Prec@5 75.000 (81.153) Epoch: [48][7290/10010] Time 0.325 (0.327) Data 0.001 (0.001) Loss 2.0402 (1.7828) Prec@1 54.688 (59.443) Prec@5 78.906 (81.152) Epoch: [48][7300/10010] Time 0.320 (0.327) Data 0.001 (0.001) Loss 2.0503 (1.7829) Prec@1 51.562 (59.441) Prec@5 75.781 (81.149) Epoch: [48][7310/10010] Time 0.319 (0.327) Data 0.000 (0.001) Loss 2.0775 (1.7830) Prec@1 52.344 (59.438) Prec@5 78.125 (81.147) Epoch: [48][7320/10010] Time 0.331 (0.327) Data 0.001 (0.001) Loss 1.6989 (1.7831) Prec@1 62.500 (59.437) Prec@5 82.812 (81.145) Epoch: [48][7330/10010] Time 0.336 (0.327) Data 0.001 (0.001) Loss 1.8521 (1.7830) Prec@1 58.594 (59.439) Prec@5 78.906 (81.146) Epoch: [48][7340/10010] Time 0.315 (0.327) Data 0.001 (0.001) Loss 1.6195 (1.7830) Prec@1 61.719 (59.439) Prec@5 82.812 (81.147) Epoch: [48][7350/10010] Time 0.338 (0.327) Data 0.000 (0.001) Loss 1.8764 (1.7830) Prec@1 54.688 (59.438) Prec@5 80.469 (81.147) Epoch: [48][7360/10010] Time 0.320 (0.327) Data 0.000 (0.001) Loss 1.9898 (1.7830) Prec@1 56.250 (59.438) Prec@5 77.344 (81.145) Epoch: [48][7370/10010] Time 0.342 (0.327) Data 0.001 (0.001) Loss 1.6434 (1.7829) Prec@1 65.625 (59.438) Prec@5 83.594 (81.147) Epoch: [48][7380/10010] Time 0.316 (0.327) Data 0.001 (0.001) Loss 1.7087 (1.7829) Prec@1 64.062 (59.438) Prec@5 81.250 (81.147) Epoch: [48][7390/10010] Time 0.341 (0.327) Data 0.001 (0.001) Loss 1.6859 (1.7829) Prec@1 62.500 (59.439) Prec@5 85.156 (81.149) Epoch: [48][7400/10010] Time 0.329 (0.327) Data 0.001 (0.001) Loss 1.8616 (1.7828) Prec@1 57.812 (59.444) Prec@5 82.031 (81.148) Epoch: [48][7410/10010] Time 0.316 (0.327) Data 0.001 (0.001) Loss 1.6359 (1.7827) Prec@1 64.844 (59.444) Prec@5 82.812 (81.150) Epoch: [48][7420/10010] Time 0.332 (0.327) Data 0.001 (0.001) Loss 1.8512 (1.7828) Prec@1 54.688 (59.442) Prec@5 82.031 (81.148) Epoch: [48][7430/10010] Time 0.318 (0.327) Data 0.001 (0.001) Loss 1.7545 (1.7828) Prec@1 60.938 (59.442) Prec@5 78.906 (81.146) Epoch: [48][7440/10010] Time 0.332 (0.327) Data 0.000 (0.001) Loss 1.6778 (1.7827) Prec@1 62.500 (59.441) Prec@5 81.250 (81.147) Epoch: [48][7450/10010] Time 0.337 (0.327) Data 0.001 (0.001) Loss 1.6041 (1.7826) Prec@1 63.281 (59.439) Prec@5 83.594 (81.148) Epoch: [48][7460/10010] Time 0.314 (0.327) Data 0.001 (0.001) Loss 1.8833 (1.7827) Prec@1 57.031 (59.441) Prec@5 80.469 (81.147) Epoch: [48][7470/10010] Time 0.341 (0.327) Data 0.001 (0.001) Loss 1.9679 (1.7827) Prec@1 55.469 (59.441) Prec@5 80.469 (81.149) Epoch: [48][7480/10010] Time 0.336 (0.327) Data 0.000 (0.001) Loss 1.5837 (1.7825) Prec@1 64.062 (59.442) Prec@5 83.594 (81.152) Epoch: [48][7490/10010] Time 0.325 (0.327) Data 0.001 (0.001) Loss 1.8167 (1.7826) Prec@1 60.938 (59.441) Prec@5 76.562 (81.150) Epoch: [48][7500/10010] Time 0.330 (0.327) Data 0.001 (0.001) Loss 1.7772 (1.7825) Prec@1 60.156 (59.443) Prec@5 83.594 (81.151) Epoch: [48][7510/10010] Time 0.327 (0.327) Data 0.001 (0.001) Loss 1.8245 (1.7825) Prec@1 58.594 (59.444) Prec@5 81.250 (81.152) Epoch: [48][7520/10010] Time 0.330 (0.327) Data 0.000 (0.001) Loss 1.6154 (1.7823) Prec@1 61.719 (59.447) Prec@5 82.812 (81.154) Epoch: [48][7530/10010] Time 0.318 (0.327) Data 0.001 (0.001) Loss 1.8781 (1.7825) Prec@1 60.156 (59.446) Prec@5 76.562 (81.151) Epoch: [48][7540/10010] Time 0.321 (0.327) Data 0.001 (0.001) Loss 1.8999 (1.7825) Prec@1 57.031 (59.445) Prec@5 77.344 (81.150) Epoch: [48][7550/10010] Time 0.338 (0.327) Data 0.001 (0.001) Loss 1.7769 (1.7825) Prec@1 58.594 (59.444) Prec@5 81.250 (81.150) Epoch: [48][7560/10010] Time 0.333 (0.327) Data 0.000 (0.001) Loss 1.6538 (1.7824) Prec@1 62.500 (59.446) Prec@5 82.031 (81.152) Epoch: [48][7570/10010] Time 0.320 (0.327) Data 0.001 (0.001) Loss 1.7722 (1.7825) Prec@1 55.469 (59.444) Prec@5 80.469 (81.150) Epoch: [48][7580/10010] Time 0.327 (0.327) Data 0.001 (0.001) Loss 2.1112 (1.7826) Prec@1 55.469 (59.440) Prec@5 78.125 (81.148) Epoch: [48][7590/10010] Time 0.329 (0.327) Data 0.001 (0.001) Loss 1.7590 (1.7827) Prec@1 58.594 (59.437) Prec@5 82.812 (81.147) Epoch: [48][7600/10010] Time 0.332 (0.327) Data 0.000 (0.001) Loss 1.9597 (1.7828) Prec@1 57.812 (59.434) Prec@5 80.469 (81.147) Epoch: [48][7610/10010] Time 0.311 (0.327) Data 0.001 (0.001) Loss 1.8646 (1.7828) Prec@1 63.281 (59.432) Prec@5 78.125 (81.145) Epoch: [48][7620/10010] Time 0.332 (0.327) Data 0.001 (0.001) Loss 1.9593 (1.7830) Prec@1 52.344 (59.431) Prec@5 78.906 (81.142) Epoch: [48][7630/10010] Time 0.310 (0.327) Data 0.001 (0.001) Loss 2.0456 (1.7830) Prec@1 55.469 (59.433) Prec@5 79.688 (81.141) Epoch: [48][7640/10010] Time 0.336 (0.327) Data 0.000 (0.001) Loss 2.0359 (1.7831) Prec@1 48.438 (59.430) Prec@5 75.000 (81.139) Epoch: [48][7650/10010] Time 0.324 (0.327) Data 0.001 (0.001) Loss 1.6075 (1.7830) Prec@1 60.156 (59.432) Prec@5 86.719 (81.141) Epoch: [48][7660/10010] Time 0.321 (0.327) Data 0.001 (0.001) Loss 1.8987 (1.7831) Prec@1 60.938 (59.433) Prec@5 79.688 (81.139) Epoch: [48][7670/10010] Time 0.329 (0.327) Data 0.001 (0.001) Loss 2.0457 (1.7832) Prec@1 53.906 (59.431) Prec@5 79.688 (81.140) Epoch: [48][7680/10010] Time 0.332 (0.327) Data 0.000 (0.001) Loss 2.0839 (1.7832) Prec@1 56.250 (59.430) Prec@5 76.562 (81.139) Epoch: [48][7690/10010] Time 0.310 (0.327) Data 0.001 (0.001) Loss 2.2215 (1.7834) Prec@1 49.219 (59.426) Prec@5 75.000 (81.137) Epoch: [48][7700/10010] Time 0.341 (0.327) Data 0.001 (0.001) Loss 1.6207 (1.7834) Prec@1 59.375 (59.425) Prec@5 83.594 (81.137) Epoch: [48][7710/10010] Time 0.335 (0.327) Data 0.001 (0.001) Loss 1.8230 (1.7834) Prec@1 60.938 (59.425) Prec@5 78.125 (81.137) Epoch: [48][7720/10010] Time 0.326 (0.327) Data 0.001 (0.001) Loss 1.7128 (1.7834) Prec@1 60.938 (59.424) Prec@5 82.031 (81.138) Epoch: [48][7730/10010] Time 0.329 (0.327) Data 0.001 (0.001) Loss 1.7575 (1.7834) Prec@1 54.688 (59.422) Prec@5 81.250 (81.137) Epoch: [48][7740/10010] Time 0.335 (0.327) Data 0.001 (0.001) Loss 1.6850 (1.7833) Prec@1 66.406 (59.425) Prec@5 80.469 (81.137) Epoch: [48][7750/10010] Time 0.336 (0.327) Data 0.000 (0.001) Loss 1.6013 (1.7834) Prec@1 60.156 (59.423) Prec@5 81.250 (81.135) Epoch: [48][7760/10010] Time 0.337 (0.327) Data 0.001 (0.001) Loss 1.8218 (1.7834) Prec@1 57.031 (59.421) Prec@5 81.250 (81.137) Epoch: [48][7770/10010] Time 0.337 (0.327) Data 0.001 (0.001) Loss 1.6918 (1.7834) Prec@1 60.156 (59.420) Prec@5 81.250 (81.136) Epoch: [48][7780/10010] Time 0.334 (0.327) Data 0.001 (0.001) Loss 2.0935 (1.7834) Prec@1 60.938 (59.421) Prec@5 77.344 (81.136) Epoch: [48][7790/10010] Time 0.317 (0.327) Data 0.001 (0.001) Loss 1.5477 (1.7835) Prec@1 63.281 (59.418) Prec@5 83.594 (81.134) Epoch: [48][7800/10010] Time 0.336 (0.327) Data 0.001 (0.001) Loss 1.9526 (1.7835) Prec@1 60.156 (59.418) Prec@5 76.562 (81.133) Epoch: [48][7810/10010] Time 0.333 (0.327) Data 0.001 (0.001) Loss 1.6766 (1.7835) Prec@1 63.281 (59.418) Prec@5 82.031 (81.134) Epoch: [48][7820/10010] Time 0.336 (0.327) Data 0.001 (0.001) Loss 1.7422 (1.7836) Prec@1 57.031 (59.417) Prec@5 85.938 (81.133) Epoch: [48][7830/10010] Time 0.339 (0.327) Data 0.001 (0.001) Loss 1.6981 (1.7836) Prec@1 59.375 (59.415) Prec@5 77.344 (81.133) Epoch: [48][7840/10010] Time 0.317 (0.327) Data 0.000 (0.001) Loss 1.7611 (1.7837) Prec@1 63.281 (59.415) Prec@5 82.031 (81.131) Epoch: [48][7850/10010] Time 0.334 (0.327) Data 0.001 (0.001) Loss 1.7166 (1.7837) Prec@1 57.812 (59.415) Prec@5 83.594 (81.130) Epoch: [48][7860/10010] Time 0.333 (0.327) Data 0.000 (0.001) Loss 1.6299 (1.7839) Prec@1 53.906 (59.411) Prec@5 84.375 (81.127) Epoch: [48][7870/10010] Time 0.319 (0.327) Data 0.001 (0.001) Loss 1.8777 (1.7839) Prec@1 61.719 (59.409) Prec@5 80.469 (81.125) Epoch: [48][7880/10010] Time 0.331 (0.327) Data 0.001 (0.001) Loss 1.6480 (1.7839) Prec@1 65.625 (59.409) Prec@5 83.594 (81.125) Epoch: [48][7890/10010] Time 0.318 (0.327) Data 0.001 (0.001) Loss 1.5392 (1.7839) Prec@1 62.500 (59.409) Prec@5 86.719 (81.126) Epoch: [48][7900/10010] Time 0.322 (0.327) Data 0.001 (0.001) Loss 1.8178 (1.7838) Prec@1 57.031 (59.411) Prec@5 82.031 (81.128) Epoch: [48][7910/10010] Time 0.322 (0.327) Data 0.001 (0.001) Loss 1.6005 (1.7839) Prec@1 66.406 (59.410) Prec@5 84.375 (81.127) Epoch: [48][7920/10010] Time 0.308 (0.327) Data 0.001 (0.001) Loss 1.7598 (1.7838) Prec@1 53.906 (59.411) Prec@5 84.375 (81.128) Epoch: [48][7930/10010] Time 0.323 (0.327) Data 0.001 (0.001) Loss 1.8617 (1.7838) Prec@1 57.031 (59.412) Prec@5 82.031 (81.128) Epoch: [48][7940/10010] Time 0.315 (0.327) Data 0.000 (0.001) Loss 1.7572 (1.7837) Prec@1 58.594 (59.412) Prec@5 79.688 (81.129) Epoch: [48][7950/10010] Time 0.319 (0.327) Data 0.001 (0.001) Loss 1.5860 (1.7838) Prec@1 61.719 (59.412) Prec@5 83.594 (81.127) Epoch: [48][7960/10010] Time 0.318 (0.327) Data 0.001 (0.001) Loss 1.8201 (1.7838) Prec@1 58.594 (59.412) Prec@5 78.906 (81.127) Epoch: [48][7970/10010] Time 0.333 (0.327) Data 0.001 (0.001) Loss 1.9863 (1.7839) Prec@1 57.031 (59.411) Prec@5 82.031 (81.126) Epoch: [48][7980/10010] Time 0.329 (0.327) Data 0.000 (0.001) Loss 1.5874 (1.7839) Prec@1 55.469 (59.412) Prec@5 82.812 (81.125) Epoch: [48][7990/10010] Time 0.309 (0.327) Data 0.001 (0.001) Loss 1.7460 (1.7838) Prec@1 63.281 (59.413) Prec@5 80.469 (81.125) Epoch: [48][8000/10010] Time 0.317 (0.327) Data 0.001 (0.001) Loss 1.5596 (1.7839) Prec@1 66.406 (59.412) Prec@5 83.594 (81.123) Epoch: [48][8010/10010] Time 0.321 (0.327) Data 0.001 (0.001) Loss 1.5489 (1.7839) Prec@1 67.188 (59.412) Prec@5 80.469 (81.122) Epoch: [48][8020/10010] Time 0.342 (0.327) Data 0.000 (0.001) Loss 2.0466 (1.7839) Prec@1 60.938 (59.413) Prec@5 72.656 (81.120) Epoch: [48][8030/10010] Time 0.309 (0.327) Data 0.001 (0.001) Loss 1.9393 (1.7841) Prec@1 57.031 (59.411) Prec@5 80.469 (81.118) Epoch: [48][8040/10010] Time 0.321 (0.327) Data 0.001 (0.001) Loss 2.0645 (1.7842) Prec@1 50.000 (59.409) Prec@5 75.781 (81.117) Epoch: [48][8050/10010] Time 0.335 (0.327) Data 0.001 (0.001) Loss 1.7661 (1.7842) Prec@1 64.062 (59.408) Prec@5 79.688 (81.115) Epoch: [48][8060/10010] Time 0.321 (0.327) Data 0.000 (0.001) Loss 1.9466 (1.7842) Prec@1 58.594 (59.408) Prec@5 77.344 (81.115) Epoch: [48][8070/10010] Time 0.334 (0.327) Data 0.000 (0.001) Loss 1.6093 (1.7842) Prec@1 64.844 (59.409) Prec@5 81.250 (81.116) Epoch: [48][8080/10010] Time 0.326 (0.327) Data 0.000 (0.001) Loss 1.4381 (1.7840) Prec@1 67.969 (59.413) Prec@5 87.500 (81.119) Epoch: [48][8090/10010] Time 0.311 (0.327) Data 0.001 (0.001) Loss 1.7150 (1.7840) Prec@1 64.844 (59.414) Prec@5 83.594 (81.120) Epoch: [48][8100/10010] Time 0.338 (0.327) Data 0.001 (0.001) Loss 1.5801 (1.7839) Prec@1 61.719 (59.414) Prec@5 88.281 (81.123) Epoch: [48][8110/10010] Time 0.323 (0.327) Data 0.000 (0.001) Loss 1.8891 (1.7839) Prec@1 57.812 (59.413) Prec@5 80.469 (81.122) Epoch: [48][8120/10010] Time 0.325 (0.327) Data 0.001 (0.001) Loss 1.5719 (1.7840) Prec@1 61.719 (59.415) Prec@5 85.156 (81.121) Epoch: [48][8130/10010] Time 0.323 (0.327) Data 0.001 (0.001) Loss 1.9197 (1.7840) Prec@1 55.469 (59.412) Prec@5 76.562 (81.120) Epoch: [48][8140/10010] Time 0.322 (0.327) Data 0.001 (0.001) Loss 1.6209 (1.7840) Prec@1 62.500 (59.412) Prec@5 82.031 (81.121) Epoch: [48][8150/10010] Time 0.316 (0.327) Data 0.001 (0.001) Loss 1.5467 (1.7840) Prec@1 64.844 (59.411) Prec@5 87.500 (81.121) Epoch: [48][8160/10010] Time 0.339 (0.327) Data 0.001 (0.001) Loss 1.7054 (1.7840) Prec@1 57.812 (59.410) Prec@5 82.031 (81.122) Epoch: [48][8170/10010] Time 0.322 (0.327) Data 0.001 (0.001) Loss 1.6580 (1.7840) Prec@1 58.594 (59.408) Prec@5 82.812 (81.124) Epoch: [48][8180/10010] Time 0.315 (0.327) Data 0.001 (0.001) Loss 1.7584 (1.7840) Prec@1 58.594 (59.406) Prec@5 82.031 (81.122) Epoch: [48][8190/10010] Time 0.317 (0.327) Data 0.001 (0.001) Loss 1.7597 (1.7840) Prec@1 54.688 (59.404) Prec@5 82.812 (81.122) Epoch: [48][8200/10010] Time 0.316 (0.327) Data 0.001 (0.001) Loss 1.8531 (1.7841) Prec@1 59.375 (59.403) Prec@5 79.688 (81.120) Epoch: [48][8210/10010] Time 0.314 (0.327) Data 0.001 (0.001) Loss 1.5628 (1.7841) Prec@1 61.719 (59.402) Prec@5 82.812 (81.121) Epoch: [48][8220/10010] Time 0.315 (0.327) Data 0.001 (0.001) Loss 1.6198 (1.7842) Prec@1 61.719 (59.402) Prec@5 82.812 (81.120) Epoch: [48][8230/10010] Time 0.325 (0.327) Data 0.000 (0.001) Loss 1.5495 (1.7841) Prec@1 62.500 (59.402) Prec@5 82.812 (81.121) Epoch: [48][8240/10010] Time 0.329 (0.327) Data 0.001 (0.001) Loss 1.6793 (1.7840) Prec@1 59.375 (59.404) Prec@5 85.156 (81.122) Epoch: [48][8250/10010] Time 0.320 (0.327) Data 0.001 (0.001) Loss 1.9341 (1.7842) Prec@1 51.562 (59.401) Prec@5 80.469 (81.120) Epoch: [48][8260/10010] Time 0.322 (0.327) Data 0.001 (0.001) Loss 1.9964 (1.7842) Prec@1 61.719 (59.400) Prec@5 81.250 (81.119) Epoch: [48][8270/10010] Time 0.320 (0.327) Data 0.000 (0.001) Loss 1.7778 (1.7844) Prec@1 60.938 (59.397) Prec@5 77.344 (81.115) Epoch: [48][8280/10010] Time 0.341 (0.327) Data 0.001 (0.001) Loss 2.0644 (1.7845) Prec@1 59.375 (59.394) Prec@5 75.781 (81.113) Epoch: [48][8290/10010] Time 0.318 (0.327) Data 0.001 (0.001) Loss 1.6818 (1.7844) Prec@1 60.938 (59.394) Prec@5 79.688 (81.115) Epoch: [48][8300/10010] Time 0.329 (0.327) Data 0.001 (0.001) Loss 1.4390 (1.7843) Prec@1 69.531 (59.395) Prec@5 88.281 (81.116) Epoch: [48][8310/10010] Time 0.315 (0.327) Data 0.001 (0.001) Loss 1.7497 (1.7843) Prec@1 62.500 (59.396) Prec@5 83.594 (81.115) Epoch: [48][8320/10010] Time 0.319 (0.327) Data 0.001 (0.001) Loss 1.9244 (1.7843) Prec@1 53.906 (59.394) Prec@5 78.906 (81.115) Epoch: [48][8330/10010] Time 0.340 (0.327) Data 0.001 (0.001) Loss 1.7684 (1.7843) Prec@1 58.594 (59.393) Prec@5 83.594 (81.115) Epoch: [48][8340/10010] Time 0.322 (0.327) Data 0.000 (0.001) Loss 1.6258 (1.7844) Prec@1 60.938 (59.391) Prec@5 80.469 (81.113) Epoch: [48][8350/10010] Time 0.321 (0.327) Data 0.001 (0.001) Loss 1.6124 (1.7843) Prec@1 61.719 (59.392) Prec@5 85.156 (81.114) Epoch: [48][8360/10010] Time 0.337 (0.327) Data 0.000 (0.001) Loss 1.5138 (1.7844) Prec@1 62.500 (59.391) Prec@5 85.156 (81.113) Epoch: [48][8370/10010] Time 0.333 (0.327) Data 0.001 (0.001) Loss 1.9543 (1.7844) Prec@1 60.156 (59.390) Prec@5 78.906 (81.113) Epoch: [48][8380/10010] Time 0.331 (0.327) Data 0.001 (0.001) Loss 1.9333 (1.7844) Prec@1 59.375 (59.390) Prec@5 78.906 (81.112) Epoch: [48][8390/10010] Time 0.313 (0.327) Data 0.001 (0.001) Loss 1.9919 (1.7846) Prec@1 56.250 (59.389) Prec@5 78.125 (81.111) Epoch: [48][8400/10010] Time 0.321 (0.327) Data 0.001 (0.001) Loss 1.4380 (1.7844) Prec@1 63.281 (59.390) Prec@5 84.375 (81.113) Epoch: [48][8410/10010] Time 0.341 (0.327) Data 0.001 (0.001) Loss 1.8166 (1.7844) Prec@1 60.938 (59.389) Prec@5 79.688 (81.112) Epoch: [48][8420/10010] Time 0.338 (0.327) Data 0.000 (0.001) Loss 1.8597 (1.7844) Prec@1 60.156 (59.390) Prec@5 79.688 (81.113) Epoch: [48][8430/10010] Time 0.323 (0.327) Data 0.000 (0.001) Loss 1.7626 (1.7845) Prec@1 59.375 (59.389) Prec@5 83.594 (81.113) Epoch: [48][8440/10010] Time 0.334 (0.327) Data 0.000 (0.001) Loss 1.9622 (1.7845) Prec@1 50.000 (59.387) Prec@5 78.906 (81.113) Epoch: [48][8450/10010] Time 0.338 (0.327) Data 0.001 (0.001) Loss 1.9832 (1.7846) Prec@1 59.375 (59.386) Prec@5 78.125 (81.111) Epoch: [48][8460/10010] Time 0.333 (0.327) Data 0.000 (0.001) Loss 1.6402 (1.7845) Prec@1 57.812 (59.384) Prec@5 84.375 (81.112) Epoch: [48][8470/10010] Time 0.315 (0.327) Data 0.001 (0.001) Loss 2.0957 (1.7846) Prec@1 52.344 (59.383) Prec@5 76.562 (81.112) Epoch: [48][8480/10010] Time 0.339 (0.327) Data 0.001 (0.001) Loss 1.4861 (1.7846) Prec@1 64.062 (59.384) Prec@5 86.719 (81.111) Epoch: [48][8490/10010] Time 0.318 (0.327) Data 0.001 (0.001) Loss 2.2639 (1.7847) Prec@1 57.031 (59.383) Prec@5 78.125 (81.112) Epoch: [48][8500/10010] Time 0.325 (0.327) Data 0.001 (0.001) Loss 1.8007 (1.7846) Prec@1 59.375 (59.383) Prec@5 79.688 (81.112) Epoch: [48][8510/10010] Time 0.311 (0.327) Data 0.001 (0.001) Loss 1.8970 (1.7848) Prec@1 60.156 (59.380) Prec@5 78.906 (81.111) Epoch: [48][8520/10010] Time 0.318 (0.327) Data 0.001 (0.001) Loss 2.1417 (1.7849) Prec@1 53.906 (59.378) Prec@5 73.438 (81.109) Epoch: [48][8530/10010] Time 0.332 (0.327) Data 0.001 (0.001) Loss 1.8469 (1.7849) Prec@1 57.812 (59.377) Prec@5 78.125 (81.109) Epoch: [48][8540/10010] Time 0.313 (0.327) Data 0.001 (0.001) Loss 1.9948 (1.7850) Prec@1 56.250 (59.377) Prec@5 76.562 (81.108) Epoch: [48][8550/10010] Time 0.325 (0.327) Data 0.000 (0.001) Loss 1.9429 (1.7850) Prec@1 55.469 (59.375) Prec@5 75.781 (81.107) Epoch: [48][8560/10010] Time 0.314 (0.327) Data 0.001 (0.001) Loss 1.9198 (1.7851) Prec@1 55.469 (59.372) Prec@5 81.250 (81.107) Epoch: [48][8570/10010] Time 0.337 (0.327) Data 0.001 (0.001) Loss 1.7643 (1.7851) Prec@1 62.500 (59.373) Prec@5 85.938 (81.107) Epoch: [48][8580/10010] Time 0.323 (0.327) Data 0.000 (0.001) Loss 1.7343 (1.7852) Prec@1 58.594 (59.371) Prec@5 84.375 (81.105) Epoch: [48][8590/10010] Time 0.334 (0.327) Data 0.001 (0.001) Loss 1.8209 (1.7852) Prec@1 60.156 (59.370) Prec@5 78.906 (81.104) Epoch: [48][8600/10010] Time 0.328 (0.327) Data 0.000 (0.001) Loss 1.8564 (1.7853) Prec@1 57.812 (59.368) Prec@5 81.250 (81.104) Epoch: [48][8610/10010] Time 0.340 (0.327) Data 0.001 (0.001) Loss 1.7240 (1.7852) Prec@1 57.031 (59.370) Prec@5 85.938 (81.105) Epoch: [48][8620/10010] Time 0.338 (0.327) Data 0.001 (0.001) Loss 1.6071 (1.7851) Prec@1 57.812 (59.370) Prec@5 81.250 (81.107) Epoch: [48][8630/10010] Time 0.322 (0.327) Data 0.001 (0.001) Loss 1.6917 (1.7851) Prec@1 60.156 (59.370) Prec@5 83.594 (81.107) Epoch: [48][8640/10010] Time 0.336 (0.327) Data 0.001 (0.001) Loss 1.6899 (1.7852) Prec@1 60.156 (59.369) Prec@5 83.594 (81.105) Epoch: [48][8650/10010] Time 0.315 (0.327) Data 0.001 (0.001) Loss 1.9040 (1.7853) Prec@1 57.031 (59.368) Prec@5 76.562 (81.104) Epoch: [48][8660/10010] Time 0.323 (0.327) Data 0.001 (0.001) Loss 1.6881 (1.7852) Prec@1 61.719 (59.369) Prec@5 78.125 (81.105) Epoch: [48][8670/10010] Time 0.337 (0.327) Data 0.000 (0.001) Loss 1.6297 (1.7854) Prec@1 60.938 (59.367) Prec@5 81.250 (81.103) Epoch: [48][8680/10010] Time 0.329 (0.327) Data 0.000 (0.001) Loss 1.8360 (1.7853) Prec@1 57.812 (59.368) Prec@5 78.906 (81.102) Epoch: [48][8690/10010] Time 0.336 (0.327) Data 0.001 (0.001) Loss 1.9838 (1.7853) Prec@1 53.906 (59.367) Prec@5 75.781 (81.101) Epoch: [48][8700/10010] Time 0.337 (0.327) Data 0.000 (0.001) Loss 1.9755 (1.7854) Prec@1 47.656 (59.366) Prec@5 78.125 (81.102) Epoch: [48][8710/10010] Time 0.319 (0.327) Data 0.001 (0.001) Loss 1.7298 (1.7854) Prec@1 52.344 (59.364) Prec@5 84.375 (81.102) Epoch: [48][8720/10010] Time 0.329 (0.327) Data 0.001 (0.001) Loss 1.8691 (1.7854) Prec@1 57.812 (59.363) Prec@5 81.250 (81.102) Epoch: [48][8730/10010] Time 0.314 (0.327) Data 0.001 (0.001) Loss 1.5884 (1.7855) Prec@1 58.594 (59.362) Prec@5 85.938 (81.101) Epoch: [48][8740/10010] Time 0.317 (0.327) Data 0.000 (0.001) Loss 1.8681 (1.7855) Prec@1 57.812 (59.361) Prec@5 76.562 (81.100) Epoch: [48][8750/10010] Time 0.333 (0.327) Data 0.001 (0.001) Loss 1.8450 (1.7856) Prec@1 60.156 (59.361) Prec@5 81.250 (81.100) Epoch: [48][8760/10010] Time 0.338 (0.327) Data 0.000 (0.001) Loss 1.8956 (1.7857) Prec@1 60.156 (59.358) Prec@5 78.125 (81.098) Epoch: [48][8770/10010] Time 0.329 (0.327) Data 0.001 (0.001) Loss 1.5984 (1.7857) Prec@1 62.500 (59.359) Prec@5 84.375 (81.096) Epoch: [48][8780/10010] Time 0.325 (0.327) Data 0.001 (0.001) Loss 1.8230 (1.7857) Prec@1 57.031 (59.358) Prec@5 78.125 (81.095) Epoch: [48][8790/10010] Time 0.321 (0.327) Data 0.001 (0.001) Loss 1.9009 (1.7857) Prec@1 57.812 (59.358) Prec@5 78.906 (81.095) Epoch: [48][8800/10010] Time 0.317 (0.327) Data 0.001 (0.001) Loss 2.1369 (1.7858) Prec@1 57.031 (59.356) Prec@5 78.906 (81.093) Epoch: [48][8810/10010] Time 0.322 (0.327) Data 0.001 (0.001) Loss 1.6765 (1.7858) Prec@1 57.031 (59.357) Prec@5 81.250 (81.093) Epoch: [48][8820/10010] Time 0.341 (0.327) Data 0.001 (0.001) Loss 1.8749 (1.7857) Prec@1 52.344 (59.357) Prec@5 77.344 (81.095) Epoch: [48][8830/10010] Time 0.325 (0.327) Data 0.000 (0.001) Loss 1.7005 (1.7858) Prec@1 63.281 (59.355) Prec@5 80.469 (81.093) Epoch: [48][8840/10010] Time 0.313 (0.327) Data 0.001 (0.001) Loss 1.8484 (1.7858) Prec@1 57.031 (59.353) Prec@5 76.562 (81.092) Epoch: [48][8850/10010] Time 0.333 (0.327) Data 0.001 (0.001) Loss 1.7981 (1.7859) Prec@1 60.938 (59.352) Prec@5 82.812 (81.091) Epoch: [48][8860/10010] Time 0.332 (0.327) Data 0.001 (0.001) Loss 1.6884 (1.7857) Prec@1 57.812 (59.357) Prec@5 82.031 (81.093) Epoch: [48][8870/10010] Time 0.330 (0.327) Data 0.000 (0.001) Loss 1.8238 (1.7857) Prec@1 53.906 (59.356) Prec@5 78.906 (81.094) Epoch: [48][8880/10010] Time 0.312 (0.327) Data 0.001 (0.001) Loss 1.7919 (1.7857) Prec@1 59.375 (59.357) Prec@5 84.375 (81.096) Epoch: [48][8890/10010] Time 0.319 (0.327) Data 0.001 (0.001) Loss 1.9881 (1.7857) Prec@1 55.469 (59.356) Prec@5 81.250 (81.096) Epoch: [48][8900/10010] Time 0.325 (0.327) Data 0.001 (0.001) Loss 1.6350 (1.7857) Prec@1 60.938 (59.355) Prec@5 85.938 (81.096) Epoch: [48][8910/10010] Time 0.326 (0.327) Data 0.000 (0.001) Loss 1.7574 (1.7858) Prec@1 60.938 (59.354) Prec@5 82.031 (81.094) Epoch: [48][8920/10010] Time 0.333 (0.327) Data 0.001 (0.001) Loss 1.9811 (1.7858) Prec@1 55.469 (59.356) Prec@5 78.906 (81.096) Epoch: [48][8930/10010] Time 0.332 (0.327) Data 0.001 (0.001) Loss 1.8603 (1.7858) Prec@1 57.031 (59.355) Prec@5 76.562 (81.095) Epoch: [48][8940/10010] Time 0.322 (0.327) Data 0.001 (0.001) Loss 1.8390 (1.7858) Prec@1 60.156 (59.357) Prec@5 77.344 (81.095) Epoch: [48][8950/10010] Time 0.335 (0.327) Data 0.000 (0.001) Loss 1.7004 (1.7858) Prec@1 59.375 (59.356) Prec@5 82.812 (81.095) Epoch: [48][8960/10010] Time 0.318 (0.327) Data 0.000 (0.001) Loss 1.7272 (1.7857) Prec@1 59.375 (59.358) Prec@5 81.250 (81.096) Epoch: [48][8970/10010] Time 0.317 (0.327) Data 0.001 (0.001) Loss 2.0884 (1.7858) Prec@1 53.125 (59.357) Prec@5 75.000 (81.095) Epoch: [48][8980/10010] Time 0.313 (0.327) Data 0.001 (0.001) Loss 2.1702 (1.7858) Prec@1 50.000 (59.355) Prec@5 78.906 (81.093) Epoch: [48][8990/10010] Time 0.332 (0.327) Data 0.001 (0.001) Loss 1.6823 (1.7859) Prec@1 58.594 (59.353) Prec@5 82.031 (81.092) Epoch: [48][9000/10010] Time 0.329 (0.327) Data 0.001 (0.001) Loss 2.0939 (1.7861) Prec@1 58.594 (59.352) Prec@5 76.562 (81.090) Epoch: [48][9010/10010] Time 0.323 (0.327) Data 0.001 (0.001) Loss 1.5005 (1.7860) Prec@1 65.625 (59.355) Prec@5 85.156 (81.092) Epoch: [48][9020/10010] Time 0.317 (0.327) Data 0.001 (0.001) Loss 1.7627 (1.7861) Prec@1 60.938 (59.353) Prec@5 82.031 (81.091) Epoch: [48][9030/10010] Time 0.336 (0.327) Data 0.001 (0.001) Loss 1.7462 (1.7860) Prec@1 64.062 (59.356) Prec@5 80.469 (81.092) Epoch: [48][9040/10010] Time 0.314 (0.327) Data 0.000 (0.001) Loss 2.0698 (1.7861) Prec@1 50.781 (59.353) Prec@5 76.562 (81.091) Epoch: [48][9050/10010] Time 0.319 (0.327) Data 0.001 (0.001) Loss 1.5693 (1.7861) Prec@1 64.844 (59.352) Prec@5 82.812 (81.092) Epoch: [48][9060/10010] Time 0.322 (0.327) Data 0.001 (0.001) Loss 2.1309 (1.7862) Prec@1 59.375 (59.351) Prec@5 71.094 (81.091) Epoch: [48][9070/10010] Time 0.339 (0.327) Data 0.000 (0.001) Loss 1.8084 (1.7863) Prec@1 57.812 (59.350) Prec@5 82.812 (81.090) Epoch: [48][9080/10010] Time 0.322 (0.327) Data 0.001 (0.001) Loss 1.8914 (1.7864) Prec@1 57.031 (59.349) Prec@5 79.688 (81.088) Epoch: [48][9090/10010] Time 0.316 (0.327) Data 0.001 (0.001) Loss 1.8469 (1.7864) Prec@1 56.250 (59.346) Prec@5 78.125 (81.087) Epoch: [48][9100/10010] Time 0.316 (0.327) Data 0.001 (0.001) Loss 1.6577 (1.7864) Prec@1 61.719 (59.346) Prec@5 81.250 (81.087) Epoch: [48][9110/10010] Time 0.341 (0.327) Data 0.000 (0.001) Loss 1.9912 (1.7864) Prec@1 59.375 (59.345) Prec@5 78.906 (81.088) Epoch: [48][9120/10010] Time 0.328 (0.327) Data 0.001 (0.001) Loss 1.8935 (1.7865) Prec@1 53.906 (59.345) Prec@5 79.688 (81.086) Epoch: [48][9130/10010] Time 0.335 (0.327) Data 0.001 (0.001) Loss 1.6881 (1.7865) Prec@1 59.375 (59.345) Prec@5 82.031 (81.086) Epoch: [48][9140/10010] Time 0.316 (0.327) Data 0.001 (0.001) Loss 1.9119 (1.7865) Prec@1 57.031 (59.344) Prec@5 78.125 (81.085) Epoch: [48][9150/10010] Time 0.317 (0.327) Data 0.001 (0.001) Loss 1.5665 (1.7865) Prec@1 65.625 (59.345) Prec@5 82.031 (81.085) Epoch: [48][9160/10010] Time 0.317 (0.327) Data 0.001 (0.001) Loss 1.8798 (1.7865) Prec@1 63.281 (59.344) Prec@5 85.156 (81.086) Epoch: [48][9170/10010] Time 0.328 (0.327) Data 0.001 (0.001) Loss 2.0743 (1.7867) Prec@1 57.031 (59.344) Prec@5 77.344 (81.084) Epoch: [48][9180/10010] Time 0.329 (0.327) Data 0.001 (0.001) Loss 1.4917 (1.7867) Prec@1 66.406 (59.344) Prec@5 84.375 (81.083) Epoch: [48][9190/10010] Time 0.316 (0.327) Data 0.001 (0.001) Loss 1.9011 (1.7867) Prec@1 58.594 (59.344) Prec@5 78.125 (81.085) Epoch: [48][9200/10010] Time 0.336 (0.327) Data 0.000 (0.001) Loss 1.6936 (1.7868) Prec@1 57.031 (59.342) Prec@5 76.562 (81.083) Epoch: [48][9210/10010] Time 0.342 (0.327) Data 0.001 (0.001) Loss 1.6689 (1.7868) Prec@1 60.938 (59.342) Prec@5 80.469 (81.084) Epoch: [48][9220/10010] Time 0.324 (0.327) Data 0.001 (0.001) Loss 1.7648 (1.7868) Prec@1 59.375 (59.344) Prec@5 78.906 (81.084) Epoch: [48][9230/10010] Time 0.333 (0.327) Data 0.001 (0.001) Loss 2.0312 (1.7867) Prec@1 53.125 (59.345) Prec@5 81.250 (81.086) Epoch: [48][9240/10010] Time 0.333 (0.327) Data 0.000 (0.001) Loss 1.8703 (1.7868) Prec@1 51.562 (59.344) Prec@5 79.688 (81.085) Epoch: [48][9250/10010] Time 0.338 (0.327) Data 0.001 (0.001) Loss 1.8733 (1.7867) Prec@1 62.500 (59.346) Prec@5 80.469 (81.087) Epoch: [48][9260/10010] Time 0.341 (0.327) Data 0.001 (0.001) Loss 2.1275 (1.7867) Prec@1 55.469 (59.347) Prec@5 78.125 (81.087) Epoch: [48][9270/10010] Time 0.320 (0.327) Data 0.001 (0.001) Loss 1.8858 (1.7867) Prec@1 62.500 (59.344) Prec@5 83.594 (81.087) Epoch: [48][9280/10010] Time 0.327 (0.327) Data 0.001 (0.001) Loss 1.9057 (1.7868) Prec@1 61.719 (59.345) Prec@5 79.688 (81.088) Epoch: [48][9290/10010] Time 0.342 (0.327) Data 0.000 (0.001) Loss 1.8994 (1.7868) Prec@1 55.469 (59.343) Prec@5 80.469 (81.086) Epoch: [48][9300/10010] Time 0.319 (0.327) Data 0.000 (0.001) Loss 1.8535 (1.7869) Prec@1 54.688 (59.342) Prec@5 84.375 (81.085) Epoch: [48][9310/10010] Time 0.322 (0.327) Data 0.000 (0.001) Loss 2.0243 (1.7870) Prec@1 57.812 (59.340) Prec@5 76.562 (81.084) Epoch: [48][9320/10010] Time 0.332 (0.327) Data 0.001 (0.001) Loss 2.0265 (1.7870) Prec@1 56.250 (59.339) Prec@5 74.219 (81.084) Epoch: [48][9330/10010] Time 0.330 (0.327) Data 0.001 (0.001) Loss 1.6767 (1.7870) Prec@1 61.719 (59.340) Prec@5 81.250 (81.084) Epoch: [48][9340/10010] Time 0.339 (0.327) Data 0.001 (0.001) Loss 1.8265 (1.7871) Prec@1 57.812 (59.338) Prec@5 80.469 (81.083) Epoch: [48][9350/10010] Time 0.315 (0.327) Data 0.000 (0.001) Loss 1.5504 (1.7871) Prec@1 60.938 (59.338) Prec@5 83.594 (81.083) Epoch: [48][9360/10010] Time 0.324 (0.327) Data 0.001 (0.001) Loss 1.8015 (1.7871) Prec@1 55.469 (59.337) Prec@5 83.594 (81.084) Epoch: [48][9370/10010] Time 0.338 (0.327) Data 0.001 (0.001) Loss 1.5675 (1.7871) Prec@1 67.188 (59.338) Prec@5 84.375 (81.083) Epoch: [48][9380/10010] Time 0.335 (0.327) Data 0.000 (0.001) Loss 1.9715 (1.7872) Prec@1 60.938 (59.338) Prec@5 76.562 (81.080) Epoch: [48][9390/10010] Time 0.320 (0.327) Data 0.001 (0.001) Loss 2.1463 (1.7874) Prec@1 46.875 (59.333) Prec@5 76.562 (81.079) Epoch: [48][9400/10010] Time 0.327 (0.327) Data 0.000 (0.001) Loss 2.1217 (1.7875) Prec@1 52.344 (59.332) Prec@5 74.219 (81.077) Epoch: [48][9410/10010] Time 0.320 (0.327) Data 0.001 (0.001) Loss 1.5190 (1.7875) Prec@1 64.062 (59.331) Prec@5 82.812 (81.078) Epoch: [48][9420/10010] Time 0.313 (0.327) Data 0.001 (0.001) Loss 2.1609 (1.7875) Prec@1 53.125 (59.330) Prec@5 74.219 (81.078) Epoch: [48][9430/10010] Time 0.334 (0.327) Data 0.001 (0.001) Loss 1.7927 (1.7876) Prec@1 55.469 (59.329) Prec@5 77.344 (81.077) Epoch: [48][9440/10010] Time 0.318 (0.327) Data 0.001 (0.001) Loss 1.6506 (1.7876) Prec@1 64.844 (59.327) Prec@5 85.938 (81.075) Epoch: [48][9450/10010] Time 0.341 (0.327) Data 0.000 (0.001) Loss 1.5845 (1.7877) Prec@1 59.375 (59.327) Prec@5 79.688 (81.076) Epoch: [48][9460/10010] Time 0.316 (0.327) Data 0.001 (0.001) Loss 2.0031 (1.7877) Prec@1 57.031 (59.325) Prec@5 75.000 (81.074) Epoch: [48][9470/10010] Time 0.328 (0.327) Data 0.001 (0.001) Loss 2.0258 (1.7877) Prec@1 52.344 (59.324) Prec@5 78.125 (81.076) Epoch: [48][9480/10010] Time 0.314 (0.327) Data 0.001 (0.001) Loss 1.8180 (1.7877) Prec@1 58.594 (59.324) Prec@5 78.125 (81.076) Epoch: [48][9490/10010] Time 0.327 (0.327) Data 0.000 (0.001) Loss 1.4883 (1.7878) Prec@1 64.062 (59.323) Prec@5 88.281 (81.075) Epoch: [48][9500/10010] Time 0.311 (0.327) Data 0.001 (0.001) Loss 1.5559 (1.7878) Prec@1 65.625 (59.324) Prec@5 85.938 (81.074) Epoch: [48][9510/10010] Time 0.329 (0.327) Data 0.000 (0.001) Loss 1.8262 (1.7878) Prec@1 55.469 (59.323) Prec@5 81.250 (81.074) Epoch: [48][9520/10010] Time 0.327 (0.327) Data 0.000 (0.001) Loss 1.3647 (1.7878) Prec@1 65.625 (59.323) Prec@5 89.062 (81.075) Epoch: [48][9530/10010] Time 0.317 (0.327) Data 0.001 (0.001) Loss 1.8145 (1.7878) Prec@1 56.250 (59.323) Prec@5 79.688 (81.074) Epoch: [48][9540/10010] Time 0.331 (0.327) Data 0.000 (0.001) Loss 1.9860 (1.7878) Prec@1 47.656 (59.322) Prec@5 77.344 (81.074) Epoch: [48][9550/10010] Time 0.335 (0.327) Data 0.001 (0.001) Loss 1.6357 (1.7878) Prec@1 62.500 (59.322) Prec@5 84.375 (81.074) Epoch: [48][9560/10010] Time 0.327 (0.327) Data 0.001 (0.001) Loss 2.0788 (1.7879) Prec@1 50.000 (59.321) Prec@5 78.125 (81.073) Epoch: [48][9570/10010] Time 0.317 (0.327) Data 0.001 (0.001) Loss 1.9037 (1.7878) Prec@1 53.906 (59.321) Prec@5 79.688 (81.073) Epoch: [48][9580/10010] Time 0.337 (0.327) Data 0.001 (0.001) Loss 2.0565 (1.7880) Prec@1 57.812 (59.322) Prec@5 78.125 (81.072) Epoch: [48][9590/10010] Time 0.331 (0.327) Data 0.001 (0.001) Loss 1.7871 (1.7880) Prec@1 59.375 (59.322) Prec@5 81.250 (81.071) Epoch: [48][9600/10010] Time 0.312 (0.327) Data 0.000 (0.001) Loss 1.8712 (1.7880) Prec@1 58.594 (59.322) Prec@5 76.562 (81.071) Epoch: [48][9610/10010] Time 0.335 (0.327) Data 0.001 (0.001) Loss 1.4074 (1.7879) Prec@1 72.656 (59.324) Prec@5 87.500 (81.073) Epoch: [48][9620/10010] Time 0.315 (0.327) Data 0.000 (0.001) Loss 1.7290 (1.7880) Prec@1 60.938 (59.325) Prec@5 78.906 (81.072) Epoch: [48][9630/10010] Time 0.341 (0.327) Data 0.001 (0.001) Loss 1.7401 (1.7879) Prec@1 60.938 (59.324) Prec@5 80.469 (81.072) Epoch: [48][9640/10010] Time 0.317 (0.327) Data 0.001 (0.001) Loss 2.0222 (1.7880) Prec@1 57.031 (59.322) Prec@5 79.688 (81.070) Epoch: [48][9650/10010] Time 0.332 (0.327) Data 0.001 (0.001) Loss 1.8027 (1.7880) Prec@1 54.688 (59.321) Prec@5 78.125 (81.069) Epoch: [48][9660/10010] Time 0.334 (0.327) Data 0.001 (0.001) Loss 1.8489 (1.7881) Prec@1 57.812 (59.319) Prec@5 83.594 (81.067) Epoch: [48][9670/10010] Time 0.328 (0.327) Data 0.001 (0.001) Loss 1.9851 (1.7880) Prec@1 53.125 (59.320) Prec@5 78.906 (81.068) Epoch: [48][9680/10010] Time 0.318 (0.327) Data 0.001 (0.001) Loss 1.7293 (1.7881) Prec@1 60.938 (59.321) Prec@5 82.031 (81.068) Epoch: [48][9690/10010] Time 0.338 (0.327) Data 0.001 (0.001) Loss 1.7966 (1.7881) Prec@1 59.375 (59.320) Prec@5 80.469 (81.067) Epoch: [48][9700/10010] Time 0.319 (0.327) Data 0.001 (0.001) Loss 1.5748 (1.7880) Prec@1 62.500 (59.320) Prec@5 83.594 (81.067) Epoch: [48][9710/10010] Time 0.312 (0.327) Data 0.001 (0.001) Loss 1.9176 (1.7880) Prec@1 54.688 (59.320) Prec@5 76.562 (81.066) Epoch: [48][9720/10010] Time 0.338 (0.327) Data 0.001 (0.001) Loss 1.7610 (1.7880) Prec@1 59.375 (59.321) Prec@5 77.344 (81.066) Epoch: [48][9730/10010] Time 0.312 (0.327) Data 0.001 (0.001) Loss 1.6833 (1.7880) Prec@1 60.938 (59.322) Prec@5 81.250 (81.066) Epoch: [48][9740/10010] Time 0.339 (0.327) Data 0.000 (0.001) Loss 1.8464 (1.7879) Prec@1 59.375 (59.322) Prec@5 79.688 (81.068) Epoch: [48][9750/10010] Time 0.317 (0.327) Data 0.001 (0.001) Loss 1.8654 (1.7880) Prec@1 57.031 (59.319) Prec@5 77.344 (81.066) Epoch: [48][9760/10010] Time 0.332 (0.327) Data 0.001 (0.001) Loss 1.9006 (1.7880) Prec@1 60.938 (59.319) Prec@5 78.906 (81.065) Epoch: [48][9770/10010] Time 0.339 (0.327) Data 0.001 (0.001) Loss 1.7301 (1.7880) Prec@1 61.719 (59.318) Prec@5 82.812 (81.064) Epoch: [48][9780/10010] Time 0.322 (0.327) Data 0.001 (0.001) Loss 1.7193 (1.7881) Prec@1 62.500 (59.316) Prec@5 82.031 (81.062) Epoch: [48][9790/10010] Time 0.320 (0.327) Data 0.001 (0.001) Loss 2.0368 (1.7881) Prec@1 53.906 (59.317) Prec@5 76.562 (81.063) Epoch: [48][9800/10010] Time 0.342 (0.327) Data 0.001 (0.001) Loss 2.1792 (1.7882) Prec@1 50.781 (59.315) Prec@5 78.125 (81.061) Epoch: [48][9810/10010] Time 0.312 (0.327) Data 0.001 (0.001) Loss 1.8536 (1.7882) Prec@1 56.250 (59.315) Prec@5 76.562 (81.060) Epoch: [48][9820/10010] Time 0.334 (0.327) Data 0.001 (0.001) Loss 2.2669 (1.7883) Prec@1 46.094 (59.313) Prec@5 70.312 (81.060) Epoch: [48][9830/10010] Time 0.332 (0.327) Data 0.001 (0.001) Loss 2.0208 (1.7882) Prec@1 52.344 (59.316) Prec@5 75.781 (81.061) Epoch: [48][9840/10010] Time 0.313 (0.327) Data 0.001 (0.001) Loss 1.9160 (1.7883) Prec@1 57.812 (59.316) Prec@5 80.469 (81.059) Epoch: [48][9850/10010] Time 0.336 (0.327) Data 0.001 (0.001) Loss 1.5668 (1.7883) Prec@1 67.188 (59.314) Prec@5 82.812 (81.059) Epoch: [48][9860/10010] Time 0.315 (0.327) Data 0.001 (0.001) Loss 2.2039 (1.7884) Prec@1 55.469 (59.314) Prec@5 72.656 (81.057) Epoch: [48][9870/10010] Time 0.319 (0.327) Data 0.001 (0.001) Loss 1.8943 (1.7885) Prec@1 54.688 (59.311) Prec@5 83.594 (81.056) Epoch: [48][9880/10010] Time 0.325 (0.327) Data 0.000 (0.001) Loss 1.9200 (1.7885) Prec@1 56.250 (59.311) Prec@5 74.219 (81.055) Epoch: [48][9890/10010] Time 0.324 (0.327) Data 0.001 (0.001) Loss 1.9022 (1.7886) Prec@1 60.156 (59.311) Prec@5 76.562 (81.053) Epoch: [48][9900/10010] Time 0.326 (0.327) Data 0.001 (0.001) Loss 1.8384 (1.7886) Prec@1 57.812 (59.309) Prec@5 79.688 (81.052) Epoch: [48][9910/10010] Time 0.325 (0.327) Data 0.001 (0.001) Loss 1.8672 (1.7887) Prec@1 53.906 (59.309) Prec@5 82.031 (81.052) Epoch: [48][9920/10010] Time 0.341 (0.327) Data 0.001 (0.001) Loss 1.5928 (1.7886) Prec@1 62.500 (59.308) Prec@5 85.156 (81.053) Epoch: [48][9930/10010] Time 0.328 (0.327) Data 0.001 (0.001) Loss 1.7462 (1.7886) Prec@1 59.375 (59.307) Prec@5 79.688 (81.053) Epoch: [48][9940/10010] Time 0.332 (0.327) Data 0.001 (0.001) Loss 2.0682 (1.7886) Prec@1 50.000 (59.308) Prec@5 78.125 (81.053) Epoch: [48][9950/10010] Time 0.330 (0.327) Data 0.001 (0.001) Loss 1.7396 (1.7886) Prec@1 58.594 (59.309) Prec@5 81.250 (81.053) Epoch: [48][9960/10010] Time 0.317 (0.327) Data 0.001 (0.001) Loss 1.6610 (1.7886) Prec@1 64.844 (59.309) Prec@5 84.375 (81.054) Epoch: [48][9970/10010] Time 0.340 (0.327) Data 0.001 (0.001) Loss 1.9756 (1.7886) Prec@1 53.125 (59.310) Prec@5 78.125 (81.055) Epoch: [48][9980/10010] Time 0.340 (0.327) Data 0.000 (0.001) Loss 1.9807 (1.7887) Prec@1 60.156 (59.308) Prec@5 77.344 (81.051) Epoch: [48][9990/10010] Time 0.312 (0.327) Data 0.001 (0.001) Loss 1.5315 (1.7887) Prec@1 62.500 (59.309) Prec@5 85.938 (81.052) Epoch: [48][10000/10010] Time 0.322 (0.327) Data 0.000 (0.001) Loss 1.6275 (1.7886) Prec@1 62.500 (59.312) Prec@5 81.250 (81.054) Test: [0/391] Time 1.206 (1.206) Loss 0.9318 (0.9318) Prec@1 79.688 (79.688) Prec@5 89.062 (89.062) Test: [10/391] Time 0.104 (0.205) Loss 1.4935 (0.8339) Prec@1 69.531 (80.043) Prec@5 84.375 (93.040) Test: [20/391] Time 0.102 (0.156) Loss 1.3039 (1.1473) Prec@1 68.750 (72.321) Prec@5 87.500 (90.067) Test: [30/391] Time 0.106 (0.139) Loss 1.9484 (1.2833) Prec@1 61.719 (68.296) Prec@5 82.031 (89.214) Test: [40/391] Time 0.111 (0.131) Loss 1.3781 (1.1721) Prec@1 70.312 (71.227) Prec@5 87.500 (90.187) Test: [50/391] Time 0.103 (0.128) Loss 0.6135 (1.1993) Prec@1 83.594 (70.833) Prec@5 96.094 (89.721) Test: [60/391] Time 0.107 (0.124) Loss 1.2746 (1.1403) Prec@1 67.969 (72.349) Prec@5 86.719 (90.241) Test: [70/391] Time 0.102 (0.121) Loss 1.3251 (1.1850) Prec@1 61.719 (70.951) Prec@5 93.750 (90.053) Test: [80/391] Time 0.103 (0.119) Loss 1.1227 (1.2028) Prec@1 67.188 (70.033) Prec@5 89.844 (90.037) Test: [90/391] Time 0.107 (0.118) Loss 1.4503 (1.2091) Prec@1 54.688 (69.686) Prec@5 88.281 (90.024) Test: [100/391] Time 0.108 (0.118) Loss 1.1719 (1.2023) Prec@1 68.750 (69.438) Prec@5 91.406 (90.254) Test: [110/391] Time 0.105 (0.117) Loss 1.4491 (1.2010) Prec@1 57.031 (69.109) Prec@5 92.188 (90.470) Test: [120/391] Time 0.104 (0.116) Loss 0.9605 (1.1906) Prec@1 75.781 (69.441) Prec@5 95.312 (90.625) Test: [130/391] Time 0.109 (0.115) Loss 0.9159 (1.1885) Prec@1 81.250 (69.674) Prec@5 91.406 (90.673) Test: [140/391] Time 0.103 (0.115) Loss 1.6976 (1.1880) Prec@1 55.469 (69.625) Prec@5 85.156 (90.675) Test: [150/391] Time 0.103 (0.114) Loss 1.1667 (1.1921) Prec@1 59.375 (69.599) Prec@5 92.969 (90.553) Test: [160/391] Time 0.100 (0.114) Loss 1.3756 (1.2031) Prec@1 67.969 (69.400) Prec@5 88.281 (90.436) Test: [170/391] Time 0.107 (0.113) Loss 2.0135 (1.2356) Prec@1 55.469 (68.837) Prec@5 78.906 (89.972) Test: [180/391] Time 0.115 (0.113) Loss 2.1291 (1.2708) Prec@1 50.000 (68.133) Prec@5 85.938 (89.529) Test: [190/391] Time 0.108 (0.113) Loss 2.3788 (1.3063) Prec@1 46.875 (67.417) Prec@5 81.250 (89.058) Test: [200/391] Time 0.111 (0.113) Loss 1.5648 (1.3400) Prec@1 61.719 (66.853) Prec@5 84.375 (88.608) Test: [210/391] Time 0.106 (0.113) Loss 1.8535 (1.3557) Prec@1 58.594 (66.528) Prec@5 82.031 (88.374) Test: [220/391] Time 0.113 (0.112) Loss 0.8953 (1.3682) Prec@1 75.781 (66.307) Prec@5 91.406 (88.101) Test: [230/391] Time 0.104 (0.112) Loss 2.2778 (1.3859) Prec@1 46.094 (66.007) Prec@5 79.688 (87.889) Test: [240/391] Time 0.115 (0.112) Loss 1.9399 (1.3978) Prec@1 60.938 (65.852) Prec@5 75.000 (87.652) Test: [250/391] Time 0.110 (0.112) Loss 1.1545 (1.4255) Prec@1 71.875 (65.276) Prec@5 90.625 (87.279) Test: [260/391] Time 0.106 (0.112) Loss 2.0765 (1.4406) Prec@1 53.906 (64.972) Prec@5 75.000 (87.099) Test: [270/391] Time 0.104 (0.112) Loss 2.5032 (1.4530) Prec@1 36.719 (64.720) Prec@5 76.562 (86.897) Test: [280/391] Time 0.156 (0.111) Loss 1.7327 (1.4622) Prec@1 58.594 (64.607) Prec@5 81.250 (86.785) Test: [290/391] Time 0.112 (0.111) Loss 2.0173 (1.4756) Prec@1 46.875 (64.361) Prec@5 80.469 (86.539) Test: [300/391] Time 0.107 (0.111) Loss 1.5654 (1.4894) Prec@1 69.531 (64.127) Prec@5 84.375 (86.355) Test: [310/391] Time 0.115 (0.111) Loss 1.7092 (1.4988) Prec@1 62.500 (63.982) Prec@5 82.031 (86.174) Test: [320/391] Time 0.105 (0.111) Loss 0.8448 (1.5044) Prec@1 82.031 (63.831) Prec@5 93.750 (86.127) Test: [330/391] Time 0.102 (0.111) Loss 2.0323 (1.5282) Prec@1 57.031 (63.397) Prec@5 78.906 (85.768) Test: [340/391] Time 0.108 (0.111) Loss 1.2716 (1.5317) Prec@1 65.625 (63.302) Prec@5 89.062 (85.708) Test: [350/391] Time 0.105 (0.111) Loss 1.4010 (1.5353) Prec@1 71.094 (63.259) Prec@5 88.281 (85.617) Test: [360/391] Time 0.102 (0.111) Loss 1.9015 (1.5467) Prec@1 53.125 (63.041) Prec@5 82.031 (85.474) Test: [370/391] Time 0.101 (0.111) Loss 1.4669 (1.5416) Prec@1 57.812 (63.090) Prec@5 92.188 (85.542) Test: [380/391] Time 0.096 (0.111) Loss 1.2477 (1.5455) Prec@1 67.188 (63.029) Prec@5 92.969 (85.482) Test: [390/391] Time 0.070 (0.110) Loss 2.1975 (1.5377) Prec@1 40.000 (63.246) Prec@5 76.250 (85.578) * Prec@1 63.246 Prec@5 85.578 Epoch: [49][0/10010] Time 2.578 (2.578) Data 2.397 (2.397) Loss 1.9662 (1.9662) Prec@1 57.031 (57.031) Prec@5 78.125 (78.125) Epoch: [49][10/10010] Time 0.316 (0.522) Data 0.000 (0.226) Loss 1.7550 (1.7726) Prec@1 57.812 (58.949) Prec@5 80.469 (80.895) Epoch: [49][20/10010] Time 0.315 (0.424) Data 0.001 (0.119) Loss 1.5172 (1.7663) Prec@1 67.188 (58.966) Prec@5 85.156 (81.250) Epoch: [49][30/10010] Time 0.317 (0.389) Data 0.001 (0.081) Loss 1.9454 (1.7945) Prec@1 59.375 (58.947) Prec@5 77.344 (80.570) Epoch: [49][40/10010] Time 0.342 (0.373) Data 0.001 (0.061) Loss 1.9958 (1.8093) Prec@1 60.156 (58.880) Prec@5 78.906 (80.526) Epoch: [49][50/10010] Time 0.335 (0.366) Data 0.001 (0.049) Loss 1.7514 (1.7948) Prec@1 59.375 (58.946) Prec@5 80.469 (80.683) Epoch: [49][60/10010] Time 0.322 (0.359) Data 0.001 (0.041) Loss 1.6010 (1.7970) Prec@1 60.156 (58.760) Prec@5 81.250 (80.520) Epoch: [49][70/10010] Time 0.336 (0.354) Data 0.001 (0.036) Loss 1.5977 (1.7827) Prec@1 57.812 (59.265) Prec@5 84.375 (80.755) Epoch: [49][80/10010] Time 0.333 (0.351) Data 0.001 (0.031) Loss 1.7752 (1.7715) Prec@1 57.812 (59.250) Prec@5 81.250 (80.980) Epoch: [49][90/10010] Time 0.320 (0.350) Data 0.001 (0.028) Loss 1.3955 (1.7577) Prec@1 67.969 (59.469) Prec@5 89.844 (81.190) Epoch: [49][100/10010] Time 0.337 (0.347) Data 0.001 (0.025) Loss 1.6956 (1.7535) Prec@1 58.594 (59.623) Prec@5 82.812 (81.289) Epoch: [49][110/10010] Time 0.324 (0.345) Data 0.001 (0.023) Loss 1.5030 (1.7467) Prec@1 63.281 (59.755) Prec@5 78.125 (81.278) Epoch: [49][120/10010] Time 0.341 (0.344) Data 0.001 (0.021) Loss 1.6074 (1.7440) Prec@1 60.938 (59.801) Prec@5 79.688 (81.315) Epoch: [49][130/10010] Time 0.320 (0.342) Data 0.001 (0.020) Loss 1.6623 (1.7424) Prec@1 60.156 (59.858) Prec@5 84.375 (81.429) Epoch: [49][140/10010] Time 0.331 (0.341) Data 0.000 (0.018) Loss 1.8663 (1.7457) Prec@1 56.250 (59.685) Prec@5 80.469 (81.389) Epoch: [49][150/10010] Time 0.321 (0.339) Data 0.001 (0.017) Loss 1.7731 (1.7418) Prec@1 57.031 (59.763) Prec@5 84.375 (81.509) Epoch: [49][160/10010] Time 0.319 (0.338) Data 0.000 (0.016) Loss 1.9303 (1.7457) Prec@1 57.812 (59.797) Prec@5 78.906 (81.420) Epoch: [49][170/10010] Time 0.318 (0.337) Data 0.001 (0.015) Loss 2.1979 (1.7458) Prec@1 50.000 (59.768) Prec@5 76.562 (81.492) Epoch: [49][180/10010] Time 0.336 (0.337) Data 0.001 (0.014) Loss 1.4338 (1.7439) Prec@1 64.844 (59.893) Prec@5 87.500 (81.552) Epoch: [49][190/10010] Time 0.332 (0.336) Data 0.000 (0.014) Loss 1.7051 (1.7526) Prec@1 60.938 (59.764) Prec@5 80.469 (81.385) Epoch: [49][200/10010] Time 0.312 (0.335) Data 0.001 (0.013) Loss 1.6633 (1.7512) Prec@1 62.500 (59.880) Prec@5 84.375 (81.409) Epoch: [49][210/10010] Time 0.333 (0.335) Data 0.001 (0.012) Loss 1.5656 (1.7477) Prec@1 60.156 (59.941) Prec@5 88.281 (81.487) Epoch: [49][220/10010] Time 0.323 (0.335) Data 0.001 (0.012) Loss 1.8388 (1.7483) Prec@1 59.375 (59.983) Prec@5 82.812 (81.515) Epoch: [49][230/10010] Time 0.312 (0.334) Data 0.000 (0.011) Loss 1.4877 (1.7461) Prec@1 63.281 (60.021) Prec@5 87.500 (81.588) Epoch: [49][240/10010] Time 0.337 (0.334) Data 0.000 (0.011) Loss 1.6625 (1.7472) Prec@1 60.156 (60.053) Prec@5 80.469 (81.545) Epoch: [49][250/10010] Time 0.320 (0.334) Data 0.001 (0.011) Loss 1.7802 (1.7475) Prec@1 58.594 (60.050) Prec@5 79.688 (81.521) Epoch: [49][260/10010] Time 0.330 (0.333) Data 0.000 (0.010) Loss 1.7766 (1.7421) Prec@1 61.719 (60.123) Prec@5 80.469 (81.648) Epoch: [49][270/10010] Time 0.321 (0.333) Data 0.001 (0.010) Loss 1.8744 (1.7453) Prec@1 52.344 (60.047) Prec@5 78.125 (81.602) Epoch: [49][280/10010] Time 0.327 (0.333) Data 0.000 (0.010) Loss 1.6128 (1.7438) Prec@1 65.625 (60.065) Prec@5 81.250 (81.614) Epoch: [49][290/10010] Time 0.321 (0.332) Data 0.001 (0.009) Loss 1.9208 (1.7441) Prec@1 53.906 (60.068) Prec@5 77.344 (81.602) Epoch: [49][300/10010] Time 0.327 (0.332) Data 0.001 (0.009) Loss 1.7593 (1.7440) Prec@1 60.938 (60.039) Prec@5 82.031 (81.652) Epoch: [49][310/10010] Time 0.314 (0.332) Data 0.001 (0.009) Loss 1.7068 (1.7428) Prec@1 61.719 (60.058) Prec@5 80.469 (81.647) Epoch: [49][320/10010] Time 0.329 (0.331) Data 0.001 (0.008) Loss 1.5973 (1.7422) Prec@1 60.156 (60.015) Prec@5 85.938 (81.659) Epoch: [49][330/10010] Time 0.313 (0.331) Data 0.001 (0.008) Loss 1.6765 (1.7409) Prec@1 61.719 (60.078) Prec@5 80.469 (81.684) Epoch: [49][340/10010] Time 0.322 (0.331) Data 0.001 (0.008) Loss 1.7390 (1.7402) Prec@1 60.938 (60.085) Prec@5 82.031 (81.708) Epoch: [49][350/10010] Time 0.325 (0.331) Data 0.001 (0.008) Loss 1.5912 (1.7411) Prec@1 58.594 (60.072) Prec@5 81.250 (81.706) Epoch: [49][360/10010] Time 0.332 (0.331) Data 0.000 (0.008) Loss 1.4449 (1.7423) Prec@1 67.969 (60.050) Prec@5 88.281 (81.698) Epoch: [49][370/10010] Time 0.320 (0.331) Data 0.001 (0.007) Loss 1.7950 (1.7429) Prec@1 56.250 (60.013) Prec@5 81.250 (81.675) Epoch: [49][380/10010] Time 0.320 (0.330) Data 0.000 (0.007) Loss 1.7058 (1.7437) Prec@1 55.469 (59.976) Prec@5 81.250 (81.664) Epoch: [49][390/10010] Time 0.331 (0.330) Data 0.000 (0.007) Loss 1.7315 (1.7448) Prec@1 58.594 (59.964) Prec@5 80.469 (81.652) Epoch: [49][400/10010] Time 0.316 (0.330) Data 0.001 (0.007) Loss 1.5143 (1.7437) Prec@1 62.500 (59.969) Prec@5 86.719 (81.671) Epoch: [49][410/10010] Time 0.337 (0.330) Data 0.001 (0.007) Loss 1.5502 (1.7443) Prec@1 65.625 (59.972) Prec@5 86.719 (81.666) Epoch: [49][420/10010] Time 0.332 (0.330) Data 0.001 (0.007) Loss 1.8904 (1.7462) Prec@1 56.250 (59.904) Prec@5 80.469 (81.617) Epoch: [49][430/10010] Time 0.337 (0.330) Data 0.001 (0.006) Loss 1.3811 (1.7461) Prec@1 65.625 (59.893) Prec@5 85.938 (81.602) Epoch: [49][440/10010] Time 0.313 (0.330) Data 0.000 (0.006) Loss 1.8279 (1.7476) Prec@1 59.375 (59.882) Prec@5 83.594 (81.574) Epoch: [49][450/10010] Time 0.336 (0.330) Data 0.001 (0.006) Loss 1.9436 (1.7490) Prec@1 52.344 (59.851) Prec@5 79.688 (81.553) Epoch: [49][460/10010] Time 0.317 (0.329) Data 0.001 (0.006) Loss 1.8713 (1.7499) Prec@1 57.031 (59.843) Prec@5 81.250 (81.514) Epoch: [49][470/10010] Time 0.328 (0.329) Data 0.001 (0.006) Loss 1.6390 (1.7476) Prec@1 61.719 (59.869) Prec@5 80.469 (81.550) Epoch: [49][480/10010] Time 0.324 (0.329) Data 0.001 (0.006) Loss 2.0946 (1.7462) Prec@1 57.812 (59.901) Prec@5 76.562 (81.567) Epoch: [49][490/10010] Time 0.317 (0.329) Data 0.001 (0.006) Loss 1.9194 (1.7461) Prec@1 53.906 (59.894) Prec@5 78.906 (81.563) Epoch: [49][500/10010] Time 0.320 (0.329) Data 0.001 (0.006) Loss 1.8502 (1.7471) Prec@1 57.031 (59.883) Prec@5 78.906 (81.542) Epoch: [49][510/10010] Time 0.324 (0.329) Data 0.001 (0.006) Loss 2.0944 (1.7470) Prec@1 57.031 (59.892) Prec@5 77.344 (81.542) Epoch: [49][520/10010] Time 0.319 (0.329) Data 0.001 (0.005) Loss 1.5750 (1.7468) Prec@1 64.844 (59.925) Prec@5 85.938 (81.551) Epoch: [49][530/10010] Time 0.321 (0.329) Data 0.001 (0.005) Loss 1.8917 (1.7452) Prec@1 60.156 (59.966) Prec@5 77.344 (81.593) Epoch: [49][540/10010] Time 0.318 (0.328) Data 0.001 (0.005) Loss 1.9044 (1.7460) Prec@1 57.031 (59.980) Prec@5 77.344 (81.573) Epoch: [49][550/10010] Time 0.323 (0.328) Data 0.000 (0.005) Loss 2.0700 (1.7472) Prec@1 53.125 (59.979) Prec@5 79.688 (81.561) Epoch: [49][560/10010] Time 0.312 (0.328) Data 0.001 (0.005) Loss 2.0610 (1.7473) Prec@1 55.469 (59.985) Prec@5 76.562 (81.562) Epoch: [49][570/10010] Time 0.333 (0.328) Data 0.000 (0.005) Loss 1.6997 (1.7478) Prec@1 58.594 (59.966) Prec@5 82.812 (81.569) Epoch: [49][580/10010] Time 0.322 (0.328) Data 0.001 (0.005) Loss 1.6835 (1.7467) Prec@1 60.156 (59.996) Prec@5 82.031 (81.586) Epoch: [49][590/10010] Time 0.324 (0.328) Data 0.000 (0.005) Loss 1.7683 (1.7463) Prec@1 58.594 (59.999) Prec@5 78.906 (81.602) Epoch: [49][600/10010] Time 0.335 (0.328) Data 0.001 (0.005) Loss 1.4955 (1.7464) Prec@1 67.188 (60.022) Prec@5 82.812 (81.588) Epoch: [49][610/10010] Time 0.335 (0.328) Data 0.001 (0.005) Loss 1.8456 (1.7457) Prec@1 60.156 (60.062) Prec@5 79.688 (81.591) Epoch: [49][620/10010] Time 0.321 (0.328) Data 0.000 (0.005) Loss 1.7336 (1.7480) Prec@1 58.594 (60.028) Prec@5 84.375 (81.571) Epoch: [49][630/10010] Time 0.321 (0.328) Data 0.001 (0.005) Loss 1.6600 (1.7488) Prec@1 59.375 (60.016) Prec@5 83.594 (81.551) Epoch: [49][640/10010] Time 0.320 (0.328) Data 0.001 (0.005) Loss 1.8673 (1.7485) Prec@1 57.031 (60.017) Prec@5 79.688 (81.545) Epoch: [49][650/10010] Time 0.339 (0.327) Data 0.000 (0.004) Loss 2.0592 (1.7482) Prec@1 55.469 (60.034) Prec@5 76.562 (81.548) Epoch: [49][660/10010] Time 0.325 (0.328) Data 0.001 (0.004) Loss 1.8669 (1.7487) Prec@1 57.812 (60.036) Prec@5 80.469 (81.532) Epoch: [49][670/10010] Time 0.307 (0.327) Data 0.001 (0.004) Loss 1.8111 (1.7491) Prec@1 57.031 (60.020) Prec@5 78.906 (81.536) Epoch: [49][680/10010] Time 0.321 (0.327) Data 0.001 (0.004) Loss 1.7014 (1.7488) Prec@1 64.844 (60.029) Prec@5 82.812 (81.528) Epoch: [49][690/10010] Time 0.320 (0.327) Data 0.000 (0.004) Loss 1.7316 (1.7491) Prec@1 61.719 (60.038) Prec@5 79.688 (81.526) Epoch: [49][700/10010] Time 0.324 (0.327) Data 0.001 (0.004) Loss 1.7829 (1.7488) Prec@1 57.812 (60.050) Prec@5 78.125 (81.531) Epoch: [49][710/10010] Time 0.335 (0.327) Data 0.001 (0.004) Loss 1.8341 (1.7488) Prec@1 64.062 (60.065) Prec@5 82.031 (81.553) Epoch: [49][720/10010] Time 0.336 (0.327) Data 0.001 (0.004) Loss 2.1652 (1.7492) Prec@1 55.469 (60.051) Prec@5 75.781 (81.543) Epoch: [49][730/10010] Time 0.318 (0.327) Data 0.001 (0.004) Loss 1.9703 (1.7484) Prec@1 59.375 (60.084) Prec@5 79.688 (81.563) Epoch: [49][740/10010] Time 0.326 (0.327) Data 0.000 (0.004) Loss 2.2281 (1.7495) Prec@1 53.125 (60.063) Prec@5 71.875 (81.544) Epoch: [49][750/10010] Time 0.331 (0.327) Data 0.001 (0.004) Loss 1.8708 (1.7507) Prec@1 56.250 (60.027) Prec@5 77.344 (81.533) Epoch: [49][760/10010] Time 0.339 (0.327) Data 0.001 (0.004) Loss 1.6757 (1.7502) Prec@1 59.375 (60.040) Prec@5 85.156 (81.557) Epoch: [49][770/10010] Time 0.331 (0.327) Data 0.001 (0.004) Loss 1.8886 (1.7502) Prec@1 60.938 (60.032) Prec@5 78.906 (81.564) Epoch: [49][780/10010] Time 0.318 (0.327) Data 0.001 (0.004) Loss 1.7190 (1.7509) Prec@1 64.062 (60.008) Prec@5 81.250 (81.546) Epoch: [49][790/10010] Time 0.320 (0.327) Data 0.000 (0.004) Loss 1.5359 (1.7520) Prec@1 62.500 (59.978) Prec@5 84.375 (81.528) Epoch: [49][800/10010] Time 0.342 (0.327) Data 0.001 (0.004) Loss 1.6156 (1.7520) Prec@1 60.938 (59.956) Prec@5 84.375 (81.521) Epoch: [49][810/10010] Time 0.326 (0.327) Data 0.001 (0.004) Loss 1.7298 (1.7525) Prec@1 55.469 (59.936) Prec@5 79.688 (81.511) Epoch: [49][820/10010] Time 0.334 (0.327) Data 0.001 (0.004) Loss 1.9726 (1.7527) Prec@1 56.250 (59.937) Prec@5 78.125 (81.506) Epoch: [49][830/10010] Time 0.314 (0.327) Data 0.000 (0.004) Loss 1.6872 (1.7538) Prec@1 62.500 (59.916) Prec@5 82.031 (81.488) Epoch: [49][840/10010] Time 0.339 (0.327) Data 0.001 (0.004) Loss 1.5850 (1.7541) Prec@1 68.750 (59.912) Prec@5 82.031 (81.483) Epoch: [49][850/10010] Time 0.321 (0.327) Data 0.001 (0.004) Loss 2.0642 (1.7543) Prec@1 53.906 (59.914) Prec@5 75.000 (81.489) Epoch: [49][860/10010] Time 0.325 (0.327) Data 0.001 (0.004) Loss 1.8612 (1.7531) Prec@1 60.156 (59.948) Prec@5 85.938 (81.524) Epoch: [49][870/10010] Time 0.328 (0.327) Data 0.000 (0.004) Loss 1.8002 (1.7544) Prec@1 56.250 (59.918) Prec@5 82.812 (81.501) Epoch: [49][880/10010] Time 0.334 (0.327) Data 0.001 (0.003) Loss 1.6854 (1.7539) Prec@1 58.594 (59.916) Prec@5 82.031 (81.498) Epoch: [49][890/10010] Time 0.338 (0.327) Data 0.000 (0.003) Loss 1.9574 (1.7555) Prec@1 53.125 (59.897) Prec@5 79.688 (81.475) Epoch: [49][900/10010] Time 0.319 (0.327) Data 0.001 (0.003) Loss 1.6395 (1.7556) Prec@1 66.406 (59.891) Prec@5 84.375 (81.478) Epoch: [49][910/10010] Time 0.333 (0.327) Data 0.000 (0.003) Loss 1.7372 (1.7553) Prec@1 59.375 (59.893) Prec@5 83.594 (81.495) Epoch: [49][920/10010] Time 0.320 (0.327) Data 0.001 (0.003) Loss 1.6357 (1.7554) Prec@1 60.156 (59.874) Prec@5 79.688 (81.484) Epoch: [49][930/10010] Time 0.316 (0.327) Data 0.001 (0.003) Loss 1.8991 (1.7552) Prec@1 53.906 (59.863) Prec@5 73.438 (81.485) Epoch: [49][940/10010] Time 0.332 (0.327) Data 0.001 (0.003) Loss 1.8867 (1.7550) Prec@1 52.344 (59.886) Prec@5 80.469 (81.483) Epoch: [49][950/10010] Time 0.316 (0.327) Data 0.000 (0.003) Loss 1.7389 (1.7554) Prec@1 59.375 (59.856) Prec@5 82.031 (81.482) Epoch: [49][960/10010] Time 0.323 (0.327) Data 0.001 (0.003) Loss 1.8416 (1.7555) Prec@1 53.906 (59.864) Prec@5 80.469 (81.476) Epoch: [49][970/10010] Time 0.325 (0.327) Data 0.001 (0.003) Loss 1.6510 (1.7559) Prec@1 57.031 (59.843) Prec@5 85.156 (81.477) Epoch: [49][980/10010] Time 0.321 (0.327) Data 0.001 (0.003) Loss 1.8504 (1.7566) Prec@1 59.375 (59.830) Prec@5 83.594 (81.463) Epoch: [49][990/10010] Time 0.321 (0.327) Data 0.001 (0.003) Loss 1.7556 (1.7562) Prec@1 53.906 (59.828) Prec@5 85.156 (81.465) Epoch: [49][1000/10010] Time 0.345 (0.327) Data 0.000 (0.003) Loss 2.0086 (1.7569) Prec@1 56.250 (59.829) Prec@5 75.781 (81.450) Epoch: [49][1010/10010] Time 0.335 (0.327) Data 0.001 (0.003) Loss 2.0933 (1.7575) Prec@1 58.594 (59.831) Prec@5 74.219 (81.440) Epoch: [49][1020/10010] Time 0.333 (0.327) Data 0.001 (0.003) Loss 2.0253 (1.7574) Prec@1 50.781 (59.833) Prec@5 78.906 (81.442) Epoch: [49][1030/10010] Time 0.337 (0.327) Data 0.001 (0.003) Loss 1.4702 (1.7577) Prec@1 66.406 (59.831) Prec@5 82.031 (81.444) Epoch: [49][1040/10010] Time 0.328 (0.327) Data 0.000 (0.003) Loss 1.6048 (1.7568) Prec@1 60.938 (59.848) Prec@5 86.719 (81.458) Epoch: [49][1050/10010] Time 0.317 (0.327) Data 0.001 (0.003) Loss 1.9135 (1.7572) Prec@1 60.938 (59.842) Prec@5 78.125 (81.466) Epoch: [49][1060/10010] Time 0.317 (0.327) Data 0.001 (0.003) Loss 1.7648 (1.7580) Prec@1 61.719 (59.829) Prec@5 86.719 (81.459) Epoch: [49][1070/10010] Time 0.338 (0.327) Data 0.000 (0.003) Loss 1.6511 (1.7587) Prec@1 61.719 (59.805) Prec@5 84.375 (81.456) Epoch: [49][1080/10010] Time 0.320 (0.327) Data 0.001 (0.003) Loss 1.8811 (1.7588) Prec@1 57.031 (59.799) Prec@5 78.125 (81.456) Epoch: [49][1090/10010] Time 0.339 (0.327) Data 0.001 (0.003) Loss 1.6759 (1.7585) Prec@1 58.594 (59.799) Prec@5 82.812 (81.470) Epoch: [49][1100/10010] Time 0.329 (0.327) Data 0.001 (0.003) Loss 1.8879 (1.7591) Prec@1 57.031 (59.796) Prec@5 83.594 (81.461) Epoch: [49][1110/10010] Time 0.334 (0.327) Data 0.001 (0.003) Loss 1.9334 (1.7596) Prec@1 53.906 (59.789) Prec@5 79.688 (81.449) Epoch: [49][1120/10010] Time 0.317 (0.327) Data 0.001 (0.003) Loss 1.8737 (1.7594) Prec@1 59.375 (59.802) Prec@5 82.812 (81.454) Epoch: [49][1130/10010] Time 0.323 (0.327) Data 0.001 (0.003) Loss 1.5753 (1.7590) Prec@1 59.375 (59.806) Prec@5 87.500 (81.468) Epoch: [49][1140/10010] Time 0.339 (0.327) Data 0.000 (0.003) Loss 1.7943 (1.7592) Prec@1 55.469 (59.813) Prec@5 82.031 (81.470) Epoch: [49][1150/10010] Time 0.330 (0.327) Data 0.000 (0.003) Loss 1.6927 (1.7593) Prec@1 64.844 (59.811) Prec@5 84.375 (81.471) Epoch: [49][1160/10010] Time 0.315 (0.327) Data 0.001 (0.003) Loss 1.8789 (1.7600) Prec@1 53.125 (59.794) Prec@5 78.125 (81.458) Epoch: [49][1170/10010] Time 0.338 (0.327) Data 0.001 (0.003) Loss 1.7485 (1.7603) Prec@1 60.156 (59.803) Prec@5 78.906 (81.449) Epoch: [49][1180/10010] Time 0.314 (0.327) Data 0.001 (0.003) Loss 1.6742 (1.7601) Prec@1 63.281 (59.814) Prec@5 79.688 (81.448) Epoch: [49][1190/10010] Time 0.334 (0.327) Data 0.000 (0.003) Loss 1.7936 (1.7603) Prec@1 67.188 (59.819) Prec@5 78.906 (81.447) Epoch: [49][1200/10010] Time 0.311 (0.327) Data 0.001 (0.003) Loss 2.0374 (1.7612) Prec@1 53.906 (59.813) Prec@5 75.781 (81.436) Epoch: [49][1210/10010] Time 0.335 (0.327) Data 0.000 (0.003) Loss 1.5087 (1.7610) Prec@1 60.938 (59.804) Prec@5 86.719 (81.438) Epoch: [49][1220/10010] Time 0.321 (0.327) Data 0.001 (0.003) Loss 1.3311 (1.7607) Prec@1 67.969 (59.818) Prec@5 85.938 (81.437) Epoch: [49][1230/10010] Time 0.335 (0.327) Data 0.001 (0.003) Loss 1.7977 (1.7618) Prec@1 51.562 (59.798) Prec@5 80.469 (81.418) Epoch: [49][1240/10010] Time 0.318 (0.327) Data 0.001 (0.003) Loss 1.8014 (1.7621) Prec@1 58.594 (59.787) Prec@5 78.906 (81.414) Epoch: [49][1250/10010] Time 0.314 (0.327) Data 0.001 (0.003) Loss 1.6495 (1.7627) Prec@1 59.375 (59.777) Prec@5 83.594 (81.408) Epoch: [49][1260/10010] Time 0.333 (0.327) Data 0.000 (0.003) Loss 1.8547 (1.7623) Prec@1 53.125 (59.781) Prec@5 84.375 (81.420) Epoch: [49][1270/10010] Time 0.335 (0.327) Data 0.000 (0.003) Loss 1.7293 (1.7623) Prec@1 60.938 (59.783) Prec@5 79.688 (81.417) Epoch: [49][1280/10010] Time 0.312 (0.327) Data 0.001 (0.003) Loss 1.6435 (1.7629) Prec@1 63.281 (59.776) Prec@5 85.938 (81.411) Epoch: [49][1290/10010] Time 0.319 (0.327) Data 0.001 (0.003) Loss 1.7383 (1.7625) Prec@1 53.906 (59.784) Prec@5 83.594 (81.414) Epoch: [49][1300/10010] Time 0.324 (0.327) Data 0.001 (0.003) Loss 1.6542 (1.7623) Prec@1 64.062 (59.788) Prec@5 85.156 (81.421) Epoch: [49][1310/10010] Time 0.315 (0.327) Data 0.001 (0.003) Loss 1.7693 (1.7622) Prec@1 53.125 (59.779) Prec@5 82.031 (81.424) Epoch: [49][1320/10010] Time 0.331 (0.327) Data 0.001 (0.003) Loss 1.5414 (1.7621) Prec@1 67.188 (59.781) Prec@5 84.375 (81.422) Epoch: [49][1330/10010] Time 0.337 (0.327) Data 0.000 (0.003) Loss 1.6179 (1.7626) Prec@1 60.156 (59.765) Prec@5 85.156 (81.418) Epoch: [49][1340/10010] Time 0.322 (0.327) Data 0.001 (0.003) Loss 1.4935 (1.7631) Prec@1 64.844 (59.754) Prec@5 84.375 (81.412) Epoch: [49][1350/10010] Time 0.319 (0.327) Data 0.001 (0.002) Loss 2.1118 (1.7635) Prec@1 51.562 (59.744) Prec@5 76.562 (81.406) Epoch: [49][1360/10010] Time 0.312 (0.327) Data 0.001 (0.002) Loss 1.9650 (1.7638) Prec@1 56.250 (59.742) Prec@5 79.688 (81.399) Epoch: [49][1370/10010] Time 0.320 (0.327) Data 0.000 (0.002) Loss 1.8504 (1.7640) Prec@1 60.156 (59.740) Prec@5 74.219 (81.396) Epoch: [49][1380/10010] Time 0.313 (0.327) Data 0.001 (0.002) Loss 1.7616 (1.7636) Prec@1 61.719 (59.743) Prec@5 82.031 (81.411) Epoch: [49][1390/10010] Time 0.325 (0.327) Data 0.000 (0.002) Loss 1.8439 (1.7632) Prec@1 57.031 (59.749) Prec@5 78.906 (81.421) Epoch: [49][1400/10010] Time 0.320 (0.327) Data 0.000 (0.002) Loss 1.6984 (1.7641) Prec@1 57.812 (59.740) Prec@5 83.594 (81.404) Epoch: [49][1410/10010] Time 0.328 (0.327) Data 0.001 (0.002) Loss 1.9695 (1.7642) Prec@1 60.156 (59.748) Prec@5 81.250 (81.396) Epoch: [49][1420/10010] Time 0.317 (0.327) Data 0.001 (0.002) Loss 1.6435 (1.7645) Prec@1 60.156 (59.757) Prec@5 82.812 (81.391) Epoch: [49][1430/10010] Time 0.339 (0.327) Data 0.000 (0.002) Loss 1.8028 (1.7646) Prec@1 53.125 (59.753) Prec@5 81.250 (81.395) Epoch: [49][1440/10010] Time 0.318 (0.327) Data 0.001 (0.002) Loss 2.0781 (1.7653) Prec@1 56.250 (59.750) Prec@5 76.562 (81.383) Epoch: [49][1450/10010] Time 0.328 (0.327) Data 0.001 (0.002) Loss 1.6232 (1.7650) Prec@1 67.188 (59.748) Prec@5 82.031 (81.392) Epoch: [49][1460/10010] Time 0.328 (0.327) Data 0.001 (0.002) Loss 1.6457 (1.7652) Prec@1 64.062 (59.746) Prec@5 85.156 (81.387) Epoch: [49][1470/10010] Time 0.331 (0.327) Data 0.000 (0.002) Loss 1.5493 (1.7651) Prec@1 60.938 (59.748) Prec@5 82.812 (81.388) Epoch: [49][1480/10010] Time 0.317 (0.327) Data 0.001 (0.002) Loss 1.6875 (1.7656) Prec@1 61.719 (59.740) Prec@5 78.906 (81.378) Epoch: [49][1490/10010] Time 0.336 (0.327) Data 0.001 (0.002) Loss 1.4662 (1.7653) Prec@1 67.188 (59.750) Prec@5 86.719 (81.383) Epoch: [49][1500/10010] Time 0.318 (0.327) Data 0.000 (0.002) Loss 1.4964 (1.7648) Prec@1 60.938 (59.752) Prec@5 87.500 (81.397) Epoch: [49][1510/10010] Time 0.316 (0.327) Data 0.001 (0.002) Loss 1.8324 (1.7643) Prec@1 58.594 (59.758) Prec@5 81.250 (81.399) Epoch: [49][1520/10010] Time 0.333 (0.327) Data 0.001 (0.002) Loss 1.8733 (1.7645) Prec@1 59.375 (59.750) Prec@5 76.562 (81.393) Epoch: [49][1530/10010] Time 0.326 (0.327) Data 0.001 (0.002) Loss 1.7392 (1.7641) Prec@1 61.719 (59.754) Prec@5 82.812 (81.405) Epoch: [49][1540/10010] Time 0.310 (0.327) Data 0.001 (0.002) Loss 1.6078 (1.7637) Prec@1 59.375 (59.749) Prec@5 85.156 (81.410) Epoch: [49][1550/10010] Time 0.318 (0.327) Data 0.001 (0.002) Loss 1.7371 (1.7640) Prec@1 60.938 (59.739) Prec@5 78.906 (81.400) Epoch: [49][1560/10010] Time 0.322 (0.327) Data 0.000 (0.002) Loss 1.6226 (1.7642) Prec@1 60.156 (59.731) Prec@5 83.594 (81.393) Epoch: [49][1570/10010] Time 0.337 (0.327) Data 0.000 (0.002) Loss 1.8091 (1.7645) Prec@1 59.375 (59.725) Prec@5 81.250 (81.387) Epoch: [49][1580/10010] Time 0.325 (0.327) Data 0.000 (0.002) Loss 1.7800 (1.7647) Prec@1 60.156 (59.721) Prec@5 79.688 (81.382) Epoch: [49][1590/10010] Time 0.320 (0.327) Data 0.001 (0.002) Loss 1.7265 (1.7643) Prec@1 57.031 (59.728) Prec@5 78.125 (81.391) Epoch: [49][1600/10010] Time 0.319 (0.326) Data 0.001 (0.002) Loss 1.5725 (1.7632) Prec@1 66.406 (59.751) Prec@5 83.594 (81.405) Epoch: [49][1610/10010] Time 0.323 (0.326) Data 0.000 (0.002) Loss 1.5067 (1.7636) Prec@1 69.531 (59.752) Prec@5 84.375 (81.397) Epoch: [49][1620/10010] Time 0.318 (0.327) Data 0.000 (0.002) Loss 1.8787 (1.7634) Prec@1 55.469 (59.761) Prec@5 78.906 (81.395) Epoch: [49][1630/10010] Time 0.335 (0.327) Data 0.001 (0.002) Loss 1.6691 (1.7633) Prec@1 66.406 (59.761) Prec@5 84.375 (81.403) Epoch: [49][1640/10010] Time 0.330 (0.327) Data 0.001 (0.002) Loss 1.6461 (1.7638) Prec@1 60.156 (59.754) Prec@5 82.812 (81.394) Epoch: [49][1650/10010] Time 0.335 (0.327) Data 0.000 (0.002) Loss 1.5325 (1.7631) Prec@1 64.844 (59.771) Prec@5 84.375 (81.398) Epoch: [49][1660/10010] Time 0.311 (0.327) Data 0.001 (0.002) Loss 1.7063 (1.7633) Prec@1 58.594 (59.769) Prec@5 85.938 (81.401) Epoch: [49][1670/10010] Time 0.333 (0.327) Data 0.001 (0.002) Loss 1.5444 (1.7636) Prec@1 61.719 (59.764) Prec@5 85.938 (81.399) Epoch: [49][1680/10010] Time 0.335 (0.327) Data 0.001 (0.002) Loss 1.7631 (1.7635) Prec@1 58.594 (59.776) Prec@5 85.938 (81.402) Epoch: [49][1690/10010] Time 0.318 (0.327) Data 0.001 (0.002) Loss 1.6804 (1.7640) Prec@1 63.281 (59.764) Prec@5 79.688 (81.396) Epoch: [49][1700/10010] Time 0.336 (0.327) Data 0.001 (0.002) Loss 1.9334 (1.7635) Prec@1 55.469 (59.771) Prec@5 78.906 (81.400) Epoch: [49][1710/10010] Time 0.311 (0.327) Data 0.001 (0.002) Loss 1.8042 (1.7638) Prec@1 60.156 (59.764) Prec@5 77.344 (81.394) Epoch: [49][1720/10010] Time 0.341 (0.327) Data 0.001 (0.002) Loss 2.1429 (1.7640) Prec@1 52.344 (59.766) Prec@5 76.562 (81.393) Epoch: [49][1730/10010] Time 0.313 (0.327) Data 0.001 (0.002) Loss 1.6592 (1.7646) Prec@1 60.156 (59.747) Prec@5 82.031 (81.383) Epoch: [49][1740/10010] Time 0.340 (0.327) Data 0.000 (0.002) Loss 1.9696 (1.7650) Prec@1 56.250 (59.739) Prec@5 79.688 (81.377) Epoch: [49][1750/10010] Time 0.319 (0.327) Data 0.001 (0.002) Loss 2.2041 (1.7653) Prec@1 50.781 (59.735) Prec@5 76.562 (81.376) Epoch: [49][1760/10010] Time 0.319 (0.327) Data 0.001 (0.002) Loss 2.0593 (1.7653) Prec@1 60.156 (59.740) Prec@5 76.562 (81.376) Epoch: [49][1770/10010] Time 0.318 (0.326) Data 0.001 (0.002) Loss 1.8126 (1.7655) Prec@1 56.250 (59.735) Prec@5 82.812 (81.374) Epoch: [49][1780/10010] Time 0.334 (0.326) Data 0.001 (0.002) Loss 1.6961 (1.7658) Prec@1 59.375 (59.729) Prec@5 82.812 (81.368) Epoch: [49][1790/10010] Time 0.320 (0.326) Data 0.001 (0.002) Loss 2.0059 (1.7657) Prec@1 58.594 (59.729) Prec@5 76.562 (81.366) Epoch: [49][1800/10010] Time 0.326 (0.326) Data 0.000 (0.002) Loss 1.5870 (1.7656) Prec@1 62.500 (59.729) Prec@5 83.594 (81.369) Epoch: [49][1810/10010] Time 0.316 (0.326) Data 0.001 (0.002) Loss 1.5857 (1.7652) Prec@1 63.281 (59.735) Prec@5 85.156 (81.373) Epoch: [49][1820/10010] Time 0.317 (0.326) Data 0.001 (0.002) Loss 1.9666 (1.7649) Prec@1 58.594 (59.746) Prec@5 78.125 (81.372) Epoch: [49][1830/10010] Time 0.318 (0.326) Data 0.001 (0.002) Loss 1.4380 (1.7646) Prec@1 66.406 (59.754) Prec@5 86.719 (81.371) Epoch: [49][1840/10010] Time 0.319 (0.326) Data 0.000 (0.002) Loss 1.6353 (1.7642) Prec@1 61.719 (59.756) Prec@5 85.156 (81.375) Epoch: [49][1850/10010] Time 0.311 (0.326) Data 0.001 (0.002) Loss 2.0317 (1.7647) Prec@1 55.469 (59.749) Prec@5 81.250 (81.375) Epoch: [49][1860/10010] Time 0.321 (0.326) Data 0.001 (0.002) Loss 1.3762 (1.7646) Prec@1 64.844 (59.753) Prec@5 85.938 (81.372) Epoch: [49][1870/10010] Time 0.327 (0.326) Data 0.000 (0.002) Loss 1.8906 (1.7650) Prec@1 54.688 (59.744) Prec@5 80.469 (81.366) Epoch: [49][1880/10010] Time 0.318 (0.326) Data 0.001 (0.002) Loss 1.6786 (1.7656) Prec@1 61.719 (59.735) Prec@5 81.250 (81.356) Epoch: [49][1890/10010] Time 0.330 (0.326) Data 0.001 (0.002) Loss 1.9749 (1.7661) Prec@1 57.031 (59.721) Prec@5 74.219 (81.347) Epoch: [49][1900/10010] Time 0.339 (0.326) Data 0.000 (0.002) Loss 1.6117 (1.7657) Prec@1 65.625 (59.734) Prec@5 85.156 (81.353) Epoch: [49][1910/10010] Time 0.339 (0.326) Data 0.000 (0.002) Loss 1.8822 (1.7655) Prec@1 58.594 (59.738) Prec@5 79.688 (81.354) Epoch: [49][1920/10010] Time 0.324 (0.326) Data 0.001 (0.002) Loss 1.7720 (1.7663) Prec@1 59.375 (59.718) Prec@5 78.906 (81.343) Epoch: [49][1930/10010] Time 0.321 (0.326) Data 0.001 (0.002) Loss 1.3599 (1.7657) Prec@1 68.750 (59.729) Prec@5 87.500 (81.355) Epoch: [49][1940/10010] Time 0.325 (0.326) Data 0.001 (0.002) Loss 1.8568 (1.7659) Prec@1 58.594 (59.723) Prec@5 82.031 (81.353) Epoch: [49][1950/10010] Time 0.333 (0.326) Data 0.000 (0.002) Loss 1.8250 (1.7661) Prec@1 62.500 (59.715) Prec@5 80.469 (81.347) Epoch: [49][1960/10010] Time 0.326 (0.326) Data 0.000 (0.002) Loss 1.5872 (1.7658) Prec@1 62.500 (59.722) Prec@5 85.938 (81.350) Epoch: [49][1970/10010] Time 0.333 (0.326) Data 0.001 (0.002) Loss 1.8147 (1.7660) Prec@1 56.250 (59.715) Prec@5 80.469 (81.344) Epoch: [49][1980/10010] Time 0.336 (0.326) Data 0.001 (0.002) Loss 1.9573 (1.7663) Prec@1 52.344 (59.708) Prec@5 77.344 (81.339) Epoch: [49][1990/10010] Time 0.320 (0.326) Data 0.001 (0.002) Loss 1.7907 (1.7662) Prec@1 58.594 (59.712) Prec@5 79.688 (81.341) Epoch: [49][2000/10010] Time 0.320 (0.326) Data 0.001 (0.002) Loss 1.7313 (1.7664) Prec@1 58.594 (59.709) Prec@5 78.906 (81.338) Epoch: [49][2010/10010] Time 0.336 (0.326) Data 0.001 (0.002) Loss 1.5828 (1.7661) Prec@1 62.500 (59.712) Prec@5 82.812 (81.343) Epoch: [49][2020/10010] Time 0.315 (0.326) Data 0.001 (0.002) Loss 1.6620 (1.7657) Prec@1 60.156 (59.717) Prec@5 82.031 (81.346) Epoch: [49][2030/10010] Time 0.321 (0.326) Data 0.001 (0.002) Loss 1.7592 (1.7661) Prec@1 64.062 (59.719) Prec@5 79.688 (81.335) Epoch: [49][2040/10010] Time 0.318 (0.326) Data 0.000 (0.002) Loss 1.8582 (1.7664) Prec@1 57.031 (59.715) Prec@5 79.688 (81.325) Epoch: [49][2050/10010] Time 0.317 (0.326) Data 0.001 (0.002) Loss 2.2335 (1.7669) Prec@1 46.875 (59.701) Prec@5 77.344 (81.312) Epoch: [49][2060/10010] Time 0.324 (0.326) Data 0.001 (0.002) Loss 1.8936 (1.7668) Prec@1 52.344 (59.696) Prec@5 79.688 (81.312) Epoch: [49][2070/10010] Time 0.316 (0.326) Data 0.001 (0.002) Loss 1.6916 (1.7667) Prec@1 63.281 (59.702) Prec@5 82.812 (81.310) Epoch: [49][2080/10010] Time 0.312 (0.326) Data 0.001 (0.002) Loss 1.7719 (1.7662) Prec@1 62.500 (59.711) Prec@5 82.031 (81.319) Epoch: [49][2090/10010] Time 0.324 (0.326) Data 0.001 (0.002) Loss 1.5931 (1.7658) Prec@1 58.594 (59.719) Prec@5 85.938 (81.331) Epoch: [49][2100/10010] Time 0.321 (0.326) Data 0.001 (0.002) Loss 1.9155 (1.7654) Prec@1 54.688 (59.716) Prec@5 82.031 (81.339) Epoch: [49][2110/10010] Time 0.324 (0.326) Data 0.000 (0.002) Loss 1.7212 (1.7656) Prec@1 63.281 (59.718) Prec@5 81.250 (81.335) Epoch: [49][2120/10010] Time 0.324 (0.326) Data 0.000 (0.002) Loss 1.6761 (1.7662) Prec@1 65.625 (59.709) Prec@5 82.031 (81.322) Epoch: [49][2130/10010] Time 0.314 (0.326) Data 0.001 (0.002) Loss 1.5669 (1.7664) Prec@1 60.938 (59.699) Prec@5 85.938 (81.320) Epoch: [49][2140/10010] Time 0.327 (0.326) Data 0.001 (0.002) Loss 1.5065 (1.7658) Prec@1 68.750 (59.715) Prec@5 87.500 (81.330) Epoch: [49][2150/10010] Time 0.339 (0.326) Data 0.001 (0.002) Loss 1.7581 (1.7654) Prec@1 59.375 (59.726) Prec@5 84.375 (81.336) Epoch: [49][2160/10010] Time 0.320 (0.326) Data 0.000 (0.002) Loss 1.9046 (1.7654) Prec@1 57.812 (59.725) Prec@5 81.250 (81.337) Epoch: [49][2170/10010] Time 0.319 (0.326) Data 0.000 (0.002) Loss 1.4086 (1.7653) Prec@1 67.188 (59.725) Prec@5 85.938 (81.340) Epoch: [49][2180/10010] Time 0.319 (0.326) Data 0.000 (0.002) Loss 2.0388 (1.7655) Prec@1 51.562 (59.728) Prec@5 74.219 (81.335) Epoch: [49][2190/10010] Time 0.314 (0.326) Data 0.001 (0.002) Loss 1.8482 (1.7659) Prec@1 57.031 (59.718) Prec@5 78.125 (81.326) Epoch: [49][2200/10010] Time 0.337 (0.326) Data 0.000 (0.002) Loss 1.7643 (1.7659) Prec@1 61.719 (59.720) Prec@5 81.250 (81.321) Epoch: [49][2210/10010] Time 0.320 (0.326) Data 0.001 (0.002) Loss 2.1722 (1.7661) Prec@1 55.469 (59.717) Prec@5 78.125 (81.318) Epoch: [49][2220/10010] Time 0.315 (0.326) Data 0.001 (0.002) Loss 1.6860 (1.7662) Prec@1 66.406 (59.717) Prec@5 82.031 (81.316) Epoch: [49][2230/10010] Time 0.337 (0.326) Data 0.001 (0.002) Loss 1.7709 (1.7662) Prec@1 63.281 (59.724) Prec@5 80.469 (81.323) Epoch: [49][2240/10010] Time 0.320 (0.326) Data 0.001 (0.002) Loss 1.8611 (1.7663) Prec@1 54.688 (59.722) Prec@5 81.250 (81.325) Epoch: [49][2250/10010] Time 0.331 (0.326) Data 0.001 (0.002) Loss 1.7438 (1.7663) Prec@1 64.062 (59.726) Prec@5 81.250 (81.324) Epoch: [49][2260/10010] Time 0.315 (0.326) Data 0.000 (0.002) Loss 1.9427 (1.7665) Prec@1 54.688 (59.726) Prec@5 78.906 (81.319) Epoch: [49][2270/10010] Time 0.335 (0.326) Data 0.000 (0.002) Loss 1.4989 (1.7668) Prec@1 67.969 (59.720) Prec@5 82.812 (81.314) Epoch: [49][2280/10010] Time 0.315 (0.326) Data 0.001 (0.002) Loss 1.7651 (1.7670) Prec@1 61.719 (59.713) Prec@5 78.906 (81.310) Epoch: [49][2290/10010] Time 0.327 (0.326) Data 0.001 (0.002) Loss 1.7906 (1.7670) Prec@1 62.500 (59.717) Prec@5 82.031 (81.314) Epoch: [49][2300/10010] Time 0.326 (0.326) Data 0.000 (0.002) Loss 1.7760 (1.7670) Prec@1 64.062 (59.723) Prec@5 82.812 (81.313) Epoch: [49][2310/10010] Time 0.334 (0.326) Data 0.001 (0.002) Loss 1.8839 (1.7670) Prec@1 57.031 (59.727) Prec@5 78.906 (81.318) Epoch: [49][2320/10010] Time 0.320 (0.326) Data 0.001 (0.002) Loss 1.9350 (1.7671) Prec@1 50.781 (59.724) Prec@5 81.250 (81.318) Epoch: [49][2330/10010] Time 0.335 (0.326) Data 0.000 (0.002) Loss 1.6101 (1.7669) Prec@1 60.156 (59.726) Prec@5 87.500 (81.328) Epoch: [49][2340/10010] Time 0.338 (0.326) Data 0.001 (0.002) Loss 1.6997 (1.7667) Prec@1 57.812 (59.736) Prec@5 87.500 (81.335) Epoch: [49][2350/10010] Time 0.318 (0.326) Data 0.000 (0.002) Loss 1.5243 (1.7664) Prec@1 60.938 (59.736) Prec@5 85.156 (81.341) Epoch: [49][2360/10010] Time 0.312 (0.326) Data 0.001 (0.002) Loss 2.0054 (1.7670) Prec@1 54.688 (59.726) Prec@5 75.000 (81.333) Epoch: [49][2370/10010] Time 0.317 (0.326) Data 0.001 (0.002) Loss 2.2854 (1.7674) Prec@1 49.219 (59.711) Prec@5 71.875 (81.330) Epoch: [49][2380/10010] Time 0.339 (0.326) Data 0.001 (0.002) Loss 1.7937 (1.7673) Prec@1 55.469 (59.719) Prec@5 81.250 (81.331) Epoch: [49][2390/10010] Time 0.320 (0.326) Data 0.001 (0.002) Loss 1.7206 (1.7674) Prec@1 58.594 (59.720) Prec@5 78.906 (81.329) Epoch: [49][2400/10010] Time 0.317 (0.326) Data 0.000 (0.002) Loss 1.7044 (1.7676) Prec@1 53.906 (59.713) Prec@5 84.375 (81.322) Epoch: [49][2410/10010] Time 0.311 (0.326) Data 0.001 (0.002) Loss 2.1485 (1.7678) Prec@1 53.125 (59.716) Prec@5 72.656 (81.314) Epoch: [49][2420/10010] Time 0.323 (0.326) Data 0.000 (0.002) Loss 1.7912 (1.7678) Prec@1 58.594 (59.723) Prec@5 79.688 (81.308) Epoch: [49][2430/10010] Time 0.322 (0.326) Data 0.001 (0.002) Loss 2.0525 (1.7679) Prec@1 53.906 (59.725) Prec@5 76.562 (81.303) Epoch: [49][2440/10010] Time 0.307 (0.326) Data 0.001 (0.002) Loss 1.7630 (1.7679) Prec@1 59.375 (59.724) Prec@5 82.031 (81.303) Epoch: [49][2450/10010] Time 0.318 (0.326) Data 0.001 (0.002) Loss 1.7728 (1.7677) Prec@1 57.031 (59.722) Prec@5 83.594 (81.306) Epoch: [49][2460/10010] Time 0.322 (0.326) Data 0.000 (0.002) Loss 1.8503 (1.7682) Prec@1 57.812 (59.713) Prec@5 75.781 (81.300) Epoch: [49][2470/10010] Time 0.322 (0.326) Data 0.000 (0.002) Loss 1.6510 (1.7681) Prec@1 62.500 (59.712) Prec@5 82.812 (81.304) Epoch: [49][2480/10010] Time 0.319 (0.326) Data 0.000 (0.002) Loss 1.3686 (1.7680) Prec@1 66.406 (59.713) Prec@5 87.500 (81.303) Epoch: [49][2490/10010] Time 0.338 (0.326) Data 0.000 (0.002) Loss 2.1196 (1.7680) Prec@1 50.781 (59.702) Prec@5 77.344 (81.310) Epoch: [49][2500/10010] Time 0.321 (0.326) Data 0.001 (0.002) Loss 1.5404 (1.7679) Prec@1 62.500 (59.698) Prec@5 86.719 (81.308) Epoch: [49][2510/10010] Time 0.316 (0.326) Data 0.001 (0.002) Loss 1.7004 (1.7680) Prec@1 60.938 (59.700) Prec@5 84.375 (81.306) Epoch: [49][2520/10010] Time 0.321 (0.326) Data 0.000 (0.002) Loss 1.7020 (1.7678) Prec@1 59.375 (59.698) Prec@5 79.688 (81.309) Epoch: [49][2530/10010] Time 0.316 (0.326) Data 0.001 (0.002) Loss 1.7362 (1.7681) Prec@1 61.719 (59.694) Prec@5 82.812 (81.302) Epoch: [49][2540/10010] Time 0.316 (0.326) Data 0.000 (0.002) Loss 1.7609 (1.7680) Prec@1 63.281 (59.698) Prec@5 82.031 (81.304) Epoch: [49][2550/10010] Time 0.320 (0.326) Data 0.001 (0.002) Loss 2.2859 (1.7683) Prec@1 50.000 (59.692) Prec@5 75.781 (81.299) Epoch: [49][2560/10010] Time 0.314 (0.326) Data 0.001 (0.002) Loss 1.6789 (1.7686) Prec@1 64.844 (59.689) Prec@5 81.250 (81.296) Epoch: [49][2570/10010] Time 0.316 (0.326) Data 0.000 (0.002) Loss 1.8575 (1.7691) Prec@1 58.594 (59.683) Prec@5 79.688 (81.286) Epoch: [49][2580/10010] Time 0.339 (0.326) Data 0.001 (0.002) Loss 1.9661 (1.7692) Prec@1 54.688 (59.682) Prec@5 77.344 (81.285) Epoch: [49][2590/10010] Time 0.322 (0.326) Data 0.001 (0.002) Loss 1.8126 (1.7692) Prec@1 54.688 (59.684) Prec@5 80.469 (81.284) Epoch: [49][2600/10010] Time 0.316 (0.326) Data 0.001 (0.002) Loss 1.7296 (1.7695) Prec@1 60.938 (59.676) Prec@5 82.812 (81.286) Epoch: [49][2610/10010] Time 0.321 (0.326) Data 0.000 (0.002) Loss 1.5105 (1.7697) Prec@1 69.531 (59.678) Prec@5 83.594 (81.284) Epoch: [49][2620/10010] Time 0.319 (0.326) Data 0.001 (0.002) Loss 1.7142 (1.7695) Prec@1 66.406 (59.681) Prec@5 82.812 (81.285) Epoch: [49][2630/10010] Time 0.325 (0.326) Data 0.001 (0.002) Loss 1.9640 (1.7693) Prec@1 57.031 (59.688) Prec@5 78.125 (81.292) Epoch: [49][2640/10010] Time 0.319 (0.326) Data 0.001 (0.002) Loss 1.3546 (1.7693) Prec@1 66.406 (59.687) Prec@5 91.406 (81.295) Epoch: [49][2650/10010] Time 0.315 (0.326) Data 0.001 (0.002) Loss 1.7835 (1.7693) Prec@1 57.031 (59.685) Prec@5 82.812 (81.294) Epoch: [49][2660/10010] Time 0.337 (0.326) Data 0.000 (0.002) Loss 1.7379 (1.7695) Prec@1 62.500 (59.682) Prec@5 81.250 (81.291) Epoch: [49][2670/10010] Time 0.317 (0.326) Data 0.001 (0.002) Loss 1.7493 (1.7693) Prec@1 63.281 (59.686) Prec@5 82.812 (81.297) Epoch: [49][2680/10010] Time 0.322 (0.326) Data 0.001 (0.002) Loss 1.5706 (1.7693) Prec@1 57.812 (59.684) Prec@5 85.156 (81.299) Epoch: [49][2690/10010] Time 0.333 (0.326) Data 0.000 (0.002) Loss 2.3534 (1.7697) Prec@1 53.125 (59.672) Prec@5 71.094 (81.288) Epoch: [49][2700/10010] Time 0.330 (0.326) Data 0.001 (0.002) Loss 1.6122 (1.7694) Prec@1 60.938 (59.678) Prec@5 82.812 (81.289) Epoch: [49][2710/10010] Time 0.317 (0.326) Data 0.000 (0.002) Loss 1.7057 (1.7693) Prec@1 63.281 (59.683) Prec@5 82.031 (81.291) Epoch: [49][2720/10010] Time 0.320 (0.326) Data 0.001 (0.002) Loss 1.8625 (1.7695) Prec@1 60.938 (59.685) Prec@5 82.812 (81.291) Epoch: [49][2730/10010] Time 0.328 (0.326) Data 0.001 (0.002) Loss 1.4627 (1.7691) Prec@1 64.062 (59.692) Prec@5 82.812 (81.295) Epoch: [49][2740/10010] Time 0.319 (0.326) Data 0.001 (0.002) Loss 2.0451 (1.7696) Prec@1 53.125 (59.679) Prec@5 75.781 (81.290) Epoch: [49][2750/10010] Time 0.318 (0.326) Data 0.001 (0.002) Loss 1.8786 (1.7693) Prec@1 59.375 (59.688) Prec@5 78.906 (81.292) Epoch: [49][2760/10010] Time 0.320 (0.326) Data 0.001 (0.002) Loss 1.6683 (1.7691) Prec@1 60.156 (59.691) Prec@5 82.031 (81.296) Epoch: [49][2770/10010] Time 0.327 (0.326) Data 0.001 (0.002) Loss 1.8282 (1.7691) Prec@1 57.812 (59.684) Prec@5 79.688 (81.295) Epoch: [49][2780/10010] Time 0.317 (0.326) Data 0.000 (0.002) Loss 2.1115 (1.7691) Prec@1 48.438 (59.672) Prec@5 75.781 (81.296) Epoch: [49][2790/10010] Time 0.332 (0.326) Data 0.001 (0.002) Loss 1.5084 (1.7691) Prec@1 62.500 (59.678) Prec@5 85.156 (81.295) Epoch: [49][2800/10010] Time 0.322 (0.326) Data 0.001 (0.002) Loss 2.0815 (1.7695) Prec@1 54.688 (59.675) Prec@5 79.688 (81.290) Epoch: [49][2810/10010] Time 0.338 (0.326) Data 0.001 (0.002) Loss 1.8917 (1.7694) Prec@1 55.469 (59.669) Prec@5 77.344 (81.295) Epoch: [49][2820/10010] Time 0.318 (0.326) Data 0.000 (0.002) Loss 1.9971 (1.7694) Prec@1 54.688 (59.670) Prec@5 78.125 (81.293) Epoch: [49][2830/10010] Time 0.324 (0.326) Data 0.001 (0.002) Loss 1.8588 (1.7697) Prec@1 60.156 (59.662) Prec@5 78.125 (81.290) Epoch: [49][2840/10010] Time 0.333 (0.326) Data 0.001 (0.002) Loss 1.9256 (1.7702) Prec@1 56.250 (59.657) Prec@5 81.250 (81.281) Epoch: [49][2850/10010] Time 0.331 (0.326) Data 0.001 (0.002) Loss 1.7080 (1.7701) Prec@1 62.500 (59.655) Prec@5 84.375 (81.281) Epoch: [49][2860/10010] Time 0.318 (0.326) Data 0.000 (0.002) Loss 1.5049 (1.7699) Prec@1 61.719 (59.655) Prec@5 84.375 (81.290) Epoch: [49][2870/10010] Time 0.337 (0.326) Data 0.001 (0.002) Loss 1.8201 (1.7697) Prec@1 54.688 (59.660) Prec@5 78.125 (81.291) Epoch: [49][2880/10010] Time 0.336 (0.326) Data 0.001 (0.002) Loss 1.6931 (1.7701) Prec@1 60.938 (59.658) Prec@5 84.375 (81.286) Epoch: [49][2890/10010] Time 0.338 (0.326) Data 0.000 (0.002) Loss 1.6194 (1.7700) Prec@1 61.719 (59.653) Prec@5 85.156 (81.289) Epoch: [49][2900/10010] Time 0.333 (0.326) Data 0.001 (0.002) Loss 1.6736 (1.7702) Prec@1 61.719 (59.648) Prec@5 80.469 (81.288) Epoch: [49][2910/10010] Time 0.337 (0.326) Data 0.000 (0.002) Loss 1.5859 (1.7704) Prec@1 64.844 (59.649) Prec@5 81.250 (81.286) Epoch: [49][2920/10010] Time 0.314 (0.326) Data 0.001 (0.001) Loss 1.7092 (1.7703) Prec@1 59.375 (59.652) Prec@5 84.375 (81.289) Epoch: [49][2930/10010] Time 0.318 (0.326) Data 0.000 (0.001) Loss 1.7694 (1.7704) Prec@1 58.594 (59.651) Prec@5 80.469 (81.286) Epoch: [49][2940/10010] Time 0.314 (0.326) Data 0.000 (0.001) Loss 1.6463 (1.7704) Prec@1 66.406 (59.658) Prec@5 85.156 (81.286) Epoch: [49][2950/10010] Time 0.337 (0.326) Data 0.001 (0.001) Loss 1.5196 (1.7706) Prec@1 63.281 (59.653) Prec@5 88.281 (81.287) Epoch: [49][2960/10010] Time 0.333 (0.326) Data 0.001 (0.001) Loss 1.6898 (1.7705) Prec@1 54.688 (59.653) Prec@5 81.250 (81.290) Epoch: [49][2970/10010] Time 0.339 (0.326) Data 0.001 (0.001) Loss 1.9298 (1.7708) Prec@1 56.250 (59.644) Prec@5 78.906 (81.284) Epoch: [49][2980/10010] Time 0.331 (0.326) Data 0.001 (0.001) Loss 1.8614 (1.7707) Prec@1 54.688 (59.643) Prec@5 81.250 (81.286) Epoch: [49][2990/10010] Time 0.332 (0.326) Data 0.001 (0.001) Loss 1.9605 (1.7706) Prec@1 51.562 (59.646) Prec@5 81.250 (81.290) Epoch: [49][3000/10010] Time 0.319 (0.326) Data 0.000 (0.001) Loss 1.5634 (1.7706) Prec@1 60.156 (59.643) Prec@5 87.500 (81.292) Epoch: [49][3010/10010] Time 0.323 (0.326) Data 0.001 (0.001) Loss 1.6250 (1.7706) Prec@1 60.156 (59.641) Prec@5 85.938 (81.294) Epoch: [49][3020/10010] Time 0.334 (0.326) Data 0.000 (0.001) Loss 1.6411 (1.7705) Prec@1 64.844 (59.646) Prec@5 80.469 (81.294) Epoch: [49][3030/10010] Time 0.321 (0.326) Data 0.000 (0.001) Loss 1.7549 (1.7704) Prec@1 59.375 (59.647) Prec@5 81.250 (81.295) Epoch: [49][3040/10010] Time 0.339 (0.326) Data 0.001 (0.001) Loss 1.7971 (1.7707) Prec@1 60.938 (59.643) Prec@5 80.469 (81.293) Epoch: [49][3050/10010] Time 0.311 (0.326) Data 0.001 (0.001) Loss 1.6195 (1.7704) Prec@1 55.469 (59.646) Prec@5 86.719 (81.300) Epoch: [49][3060/10010] Time 0.331 (0.326) Data 0.001 (0.001) Loss 1.6147 (1.7706) Prec@1 58.594 (59.640) Prec@5 82.812 (81.295) Epoch: [49][3070/10010] Time 0.320 (0.326) Data 0.001 (0.001) Loss 2.0769 (1.7710) Prec@1 56.250 (59.631) Prec@5 78.125 (81.286) Epoch: [49][3080/10010] Time 0.336 (0.326) Data 0.001 (0.001) Loss 1.8112 (1.7709) Prec@1 58.594 (59.635) Prec@5 81.250 (81.287) Epoch: [49][3090/10010] Time 0.326 (0.326) Data 0.001 (0.001) Loss 1.9447 (1.7710) Prec@1 59.375 (59.632) Prec@5 78.906 (81.284) Epoch: [49][3100/10010] Time 0.318 (0.326) Data 0.001 (0.001) Loss 1.9811 (1.7712) Prec@1 53.906 (59.628) Prec@5 77.344 (81.280) Epoch: [49][3110/10010] Time 0.332 (0.326) Data 0.000 (0.001) Loss 2.0099 (1.7714) Prec@1 53.906 (59.624) Prec@5 78.906 (81.278) Epoch: [49][3120/10010] Time 0.312 (0.326) Data 0.000 (0.001) Loss 1.8990 (1.7715) Prec@1 56.250 (59.623) Prec@5 77.344 (81.277) Epoch: [49][3130/10010] Time 0.323 (0.326) Data 0.001 (0.001) Loss 1.6536 (1.7715) Prec@1 64.844 (59.624) Prec@5 82.031 (81.277) Epoch: [49][3140/10010] Time 0.326 (0.326) Data 0.000 (0.001) Loss 1.9195 (1.7716) Prec@1 60.156 (59.624) Prec@5 76.562 (81.274) Epoch: [49][3150/10010] Time 0.321 (0.326) Data 0.001 (0.001) Loss 1.9655 (1.7718) Prec@1 53.906 (59.620) Prec@5 78.125 (81.273) Epoch: [49][3160/10010] Time 0.332 (0.326) Data 0.001 (0.001) Loss 1.7597 (1.7720) Prec@1 60.156 (59.615) Prec@5 82.812 (81.268) Epoch: [49][3170/10010] Time 0.337 (0.326) Data 0.000 (0.001) Loss 1.4747 (1.7720) Prec@1 67.188 (59.619) Prec@5 84.375 (81.268) Epoch: [49][3180/10010] Time 0.322 (0.326) Data 0.001 (0.001) Loss 1.9581 (1.7721) Prec@1 55.469 (59.618) Prec@5 80.469 (81.268) Epoch: [49][3190/10010] Time 0.315 (0.326) Data 0.001 (0.001) Loss 2.1659 (1.7724) Prec@1 57.031 (59.611) Prec@5 71.875 (81.262) Epoch: [49][3200/10010] Time 0.323 (0.326) Data 0.000 (0.001) Loss 1.6014 (1.7724) Prec@1 61.719 (59.611) Prec@5 84.375 (81.260) Epoch: [49][3210/10010] Time 0.331 (0.326) Data 0.001 (0.001) Loss 1.7420 (1.7728) Prec@1 58.594 (59.607) Prec@5 77.344 (81.256) Epoch: [49][3220/10010] Time 0.314 (0.326) Data 0.001 (0.001) Loss 1.7933 (1.7729) Prec@1 58.594 (59.601) Prec@5 84.375 (81.256) Epoch: [49][3230/10010] Time 0.321 (0.326) Data 0.001 (0.001) Loss 1.6917 (1.7728) Prec@1 59.375 (59.602) Prec@5 81.250 (81.256) Epoch: [49][3240/10010] Time 0.332 (0.326) Data 0.000 (0.001) Loss 1.7581 (1.7728) Prec@1 54.688 (59.597) Prec@5 82.031 (81.259) Epoch: [49][3250/10010] Time 0.323 (0.326) Data 0.000 (0.001) Loss 1.7782 (1.7731) Prec@1 60.938 (59.596) Prec@5 78.906 (81.252) Epoch: [49][3260/10010] Time 0.321 (0.326) Data 0.000 (0.001) Loss 1.6879 (1.7732) Prec@1 60.938 (59.595) Prec@5 83.594 (81.251) Epoch: [49][3270/10010] Time 0.322 (0.326) Data 0.001 (0.001) Loss 1.5597 (1.7729) Prec@1 63.281 (59.601) Prec@5 85.938 (81.255) Epoch: [49][3280/10010] Time 0.334 (0.326) Data 0.001 (0.001) Loss 1.6938 (1.7731) Prec@1 57.812 (59.594) Prec@5 83.594 (81.253) Epoch: [49][3290/10010] Time 0.325 (0.326) Data 0.001 (0.001) Loss 1.4579 (1.7729) Prec@1 67.969 (59.596) Prec@5 85.938 (81.258) Epoch: [49][3300/10010] Time 0.338 (0.326) Data 0.001 (0.001) Loss 1.9351 (1.7733) Prec@1 57.031 (59.591) Prec@5 82.031 (81.256) Epoch: [49][3310/10010] Time 0.317 (0.326) Data 0.001 (0.001) Loss 1.5641 (1.7731) Prec@1 63.281 (59.592) Prec@5 85.938 (81.261) Epoch: [49][3320/10010] Time 0.322 (0.326) Data 0.000 (0.001) Loss 1.6939 (1.7733) Prec@1 62.500 (59.592) Prec@5 85.938 (81.257) Epoch: [49][3330/10010] Time 0.315 (0.326) Data 0.000 (0.001) Loss 1.4482 (1.7732) Prec@1 65.625 (59.594) Prec@5 85.156 (81.258) Epoch: [49][3340/10010] Time 0.318 (0.326) Data 0.000 (0.001) Loss 2.1273 (1.7735) Prec@1 50.781 (59.594) Prec@5 76.562 (81.252) Epoch: [49][3350/10010] Time 0.313 (0.326) Data 0.001 (0.001) Loss 1.7709 (1.7734) Prec@1 60.156 (59.595) Prec@5 80.469 (81.257) Epoch: [49][3360/10010] Time 0.321 (0.326) Data 0.000 (0.001) Loss 1.7960 (1.7731) Prec@1 59.375 (59.599) Prec@5 80.469 (81.258) Epoch: [49][3370/10010] Time 0.320 (0.326) Data 0.000 (0.001) Loss 1.7851 (1.7730) Prec@1 59.375 (59.599) Prec@5 80.469 (81.260) Epoch: [49][3380/10010] Time 0.322 (0.326) Data 0.000 (0.001) Loss 1.8317 (1.7731) Prec@1 57.812 (59.596) Prec@5 80.469 (81.257) Epoch: [49][3390/10010] Time 0.313 (0.326) Data 0.001 (0.001) Loss 1.6748 (1.7734) Prec@1 64.062 (59.591) Prec@5 82.031 (81.253) Epoch: [49][3400/10010] Time 0.333 (0.326) Data 0.000 (0.001) Loss 1.7309 (1.7734) Prec@1 63.281 (59.589) Prec@5 85.938 (81.251) Epoch: [49][3410/10010] Time 0.317 (0.326) Data 0.001 (0.001) Loss 1.6759 (1.7732) Prec@1 61.719 (59.593) Prec@5 82.812 (81.258) Epoch: [49][3420/10010] Time 0.309 (0.326) Data 0.001 (0.001) Loss 1.9160 (1.7734) Prec@1 51.562 (59.589) Prec@5 78.906 (81.255) Epoch: [49][3430/10010] Time 0.325 (0.326) Data 0.001 (0.001) Loss 1.7041 (1.7730) Prec@1 59.375 (59.595) Prec@5 82.031 (81.260) Epoch: [49][3440/10010] Time 0.331 (0.326) Data 0.000 (0.001) Loss 1.7419 (1.7730) Prec@1 58.594 (59.595) Prec@5 84.375 (81.260) Epoch: [49][3450/10010] Time 0.315 (0.326) Data 0.000 (0.001) Loss 1.5329 (1.7729) Prec@1 64.844 (59.598) Prec@5 86.719 (81.263) Epoch: [49][3460/10010] Time 0.332 (0.326) Data 0.000 (0.001) Loss 1.6181 (1.7730) Prec@1 62.500 (59.598) Prec@5 85.938 (81.260) Epoch: [49][3470/10010] Time 0.342 (0.326) Data 0.000 (0.001) Loss 1.7558 (1.7731) Prec@1 61.719 (59.596) Prec@5 77.344 (81.256) Epoch: [49][3480/10010] Time 0.337 (0.326) Data 0.001 (0.001) Loss 1.7109 (1.7731) Prec@1 64.844 (59.603) Prec@5 82.812 (81.255) Epoch: [49][3490/10010] Time 0.320 (0.326) Data 0.001 (0.001) Loss 1.7465 (1.7732) Prec@1 60.156 (59.599) Prec@5 81.250 (81.252) Epoch: [49][3500/10010] Time 0.315 (0.326) Data 0.001 (0.001) Loss 2.2259 (1.7734) Prec@1 46.875 (59.593) Prec@5 75.000 (81.249) Epoch: [49][3510/10010] Time 0.317 (0.326) Data 0.000 (0.001) Loss 1.5888 (1.7733) Prec@1 64.062 (59.592) Prec@5 85.938 (81.252) Epoch: [49][3520/10010] Time 0.327 (0.326) Data 0.001 (0.001) Loss 1.5500 (1.7731) Prec@1 64.844 (59.596) Prec@5 82.031 (81.256) Epoch: [49][3530/10010] Time 0.324 (0.326) Data 0.000 (0.001) Loss 1.9437 (1.7732) Prec@1 54.688 (59.592) Prec@5 82.031 (81.257) Epoch: [49][3540/10010] Time 0.335 (0.326) Data 0.001 (0.001) Loss 1.9511 (1.7732) Prec@1 57.031 (59.593) Prec@5 79.688 (81.255) Epoch: [49][3550/10010] Time 0.315 (0.326) Data 0.000 (0.001) Loss 1.7961 (1.7734) Prec@1 57.812 (59.590) Prec@5 81.250 (81.250) Epoch: [49][3560/10010] Time 0.315 (0.326) Data 0.001 (0.001) Loss 1.4827 (1.7732) Prec@1 65.625 (59.593) Prec@5 85.156 (81.256) Epoch: [49][3570/10010] Time 0.316 (0.326) Data 0.000 (0.001) Loss 1.9419 (1.7736) Prec@1 55.469 (59.591) Prec@5 75.781 (81.246) Epoch: [49][3580/10010] Time 0.321 (0.326) Data 0.001 (0.001) Loss 1.5734 (1.7735) Prec@1 66.406 (59.593) Prec@5 87.500 (81.251) Epoch: [49][3590/10010] Time 0.326 (0.326) Data 0.001 (0.001) Loss 1.5497 (1.7734) Prec@1 64.844 (59.594) Prec@5 84.375 (81.253) Epoch: [49][3600/10010] Time 0.321 (0.326) Data 0.001 (0.001) Loss 1.5734 (1.7732) Prec@1 67.188 (59.597) Prec@5 83.594 (81.256) Epoch: [49][3610/10010] Time 0.333 (0.325) Data 0.001 (0.001) Loss 2.0134 (1.7735) Prec@1 54.688 (59.592) Prec@5 76.562 (81.253) Epoch: [49][3620/10010] Time 0.324 (0.326) Data 0.001 (0.001) Loss 1.7663 (1.7737) Prec@1 59.375 (59.588) Prec@5 82.031 (81.250) Epoch: [49][3630/10010] Time 0.324 (0.326) Data 0.001 (0.001) Loss 1.6272 (1.7736) Prec@1 57.812 (59.586) Prec@5 83.594 (81.249) Epoch: [49][3640/10010] Time 0.333 (0.326) Data 0.000 (0.001) Loss 1.6496 (1.7736) Prec@1 64.062 (59.588) Prec@5 82.812 (81.249) Epoch: [49][3650/10010] Time 0.312 (0.326) Data 0.001 (0.001) Loss 1.9543 (1.7735) Prec@1 57.031 (59.583) Prec@5 77.344 (81.248) Epoch: [49][3660/10010] Time 0.316 (0.326) Data 0.000 (0.001) Loss 1.8743 (1.7738) Prec@1 61.719 (59.578) Prec@5 81.250 (81.244) Epoch: [49][3670/10010] Time 0.336 (0.326) Data 0.001 (0.001) Loss 1.8860 (1.7739) Prec@1 55.469 (59.574) Prec@5 83.594 (81.243) Epoch: [49][3680/10010] Time 0.317 (0.325) Data 0.001 (0.001) Loss 1.6233 (1.7740) Prec@1 60.938 (59.570) Prec@5 84.375 (81.242) Epoch: [49][3690/10010] Time 0.321 (0.325) Data 0.000 (0.001) Loss 1.7667 (1.7740) Prec@1 64.844 (59.574) Prec@5 79.688 (81.241) Epoch: [49][3700/10010] Time 0.318 (0.325) Data 0.000 (0.001) Loss 1.7788 (1.7741) Prec@1 61.719 (59.571) Prec@5 82.031 (81.240) Epoch: [49][3710/10010] Time 0.312 (0.325) Data 0.001 (0.001) Loss 2.0541 (1.7742) Prec@1 56.250 (59.570) Prec@5 78.125 (81.240) /data/vision/torralba/deepscene/lib/anaconda2/lib/python2.7/site-packages/PIL/TiffImagePlugin.py:692: UserWarning: Possibly corrupt EXIF data. Expecting to read 2555904 bytes but only got 0. Skipping tag 0 "Skipping tag %s" % (size, len(data), tag)) Epoch: [49][3720/10010] Time 0.328 (0.325) Data 0.001 (0.001) Loss 1.7473 (1.7743) Prec@1 56.250 (59.569) Prec@5 82.031 (81.240) Epoch: [49][3730/10010] Time 0.337 (0.326) Data 0.000 (0.001) Loss 1.6827 (1.7744) Prec@1 62.500 (59.567) Prec@5 80.469 (81.237) Epoch: [49][3740/10010] Time 0.318 (0.326) Data 0.001 (0.001) Loss 2.0282 (1.7746) Prec@1 55.469 (59.566) Prec@5 75.781 (81.231) Epoch: [49][3750/10010] Time 0.325 (0.325) Data 0.001 (0.001) Loss 1.7506 (1.7746) Prec@1 62.500 (59.569) Prec@5 79.688 (81.230) Epoch: [49][3760/10010] Time 0.314 (0.325) Data 0.001 (0.001) Loss 1.5810 (1.7746) Prec@1 63.281 (59.567) Prec@5 82.812 (81.228) Epoch: [49][3770/10010] Time 0.332 (0.325) Data 0.000 (0.001) Loss 1.6883 (1.7748) Prec@1 65.625 (59.561) Prec@5 83.594 (81.224) Epoch: [49][3780/10010] Time 0.332 (0.325) Data 0.001 (0.001) Loss 1.7536 (1.7751) Prec@1 57.812 (59.556) Prec@5 84.375 (81.220) Epoch: [49][3790/10010] Time 0.333 (0.325) Data 0.001 (0.001) Loss 1.7020 (1.7751) Prec@1 65.625 (59.561) Prec@5 85.938 (81.221) Epoch: [49][3800/10010] Time 0.343 (0.325) Data 0.001 (0.001) Loss 1.4927 (1.7751) Prec@1 67.188 (59.560) Prec@5 83.594 (81.223) Epoch: [49][3810/10010] Time 0.340 (0.325) Data 0.001 (0.001) Loss 1.6076 (1.7749) Prec@1 60.938 (59.561) Prec@5 81.250 (81.222) Epoch: [49][3820/10010] Time 0.319 (0.325) Data 0.001 (0.001) Loss 1.8387 (1.7749) Prec@1 57.812 (59.564) Prec@5 79.688 (81.223) Epoch: [49][3830/10010] Time 0.324 (0.325) Data 0.001 (0.001) Loss 1.8552 (1.7749) Prec@1 60.156 (59.561) Prec@5 81.250 (81.225) Epoch: [49][3840/10010] Time 0.347 (0.325) Data 0.001 (0.001) Loss 1.6760 (1.7748) Prec@1 62.500 (59.566) Prec@5 81.250 (81.228) Epoch: [49][3850/10010] Time 0.337 (0.326) Data 0.001 (0.001) Loss 1.7045 (1.7749) Prec@1 58.594 (59.564) Prec@5 80.469 (81.223) Epoch: [49][3860/10010] Time 0.334 (0.326) Data 0.001 (0.001) Loss 1.5018 (1.7749) Prec@1 64.062 (59.563) Prec@5 85.938 (81.221) Epoch: [49][3870/10010] Time 0.313 (0.326) Data 0.000 (0.001) Loss 1.4923 (1.7750) Prec@1 64.844 (59.558) Prec@5 83.594 (81.219) Epoch: [49][3880/10010] Time 0.314 (0.326) Data 0.001 (0.001) Loss 1.9871 (1.7750) Prec@1 53.906 (59.557) Prec@5 81.250 (81.220) Epoch: [49][3890/10010] Time 0.334 (0.325) Data 0.001 (0.001) Loss 1.8573 (1.7751) Prec@1 61.719 (59.556) Prec@5 79.688 (81.218) Epoch: [49][3900/10010] Time 0.334 (0.325) Data 0.001 (0.001) Loss 2.0736 (1.7756) Prec@1 54.688 (59.547) Prec@5 75.781 (81.210) Epoch: [49][3910/10010] Time 0.336 (0.326) Data 0.000 (0.001) Loss 1.9570 (1.7756) Prec@1 54.688 (59.547) Prec@5 76.562 (81.208) Epoch: [49][3920/10010] Time 0.323 (0.326) Data 0.001 (0.001) Loss 1.7633 (1.7755) Prec@1 54.688 (59.547) Prec@5 83.594 (81.211) Epoch: [49][3930/10010] Time 0.326 (0.326) Data 0.001 (0.001) Loss 1.8746 (1.7753) Prec@1 56.250 (59.550) Prec@5 79.688 (81.216) Epoch: [49][3940/10010] Time 0.325 (0.326) Data 0.000 (0.001) Loss 2.2217 (1.7752) Prec@1 52.344 (59.550) Prec@5 74.219 (81.215) Epoch: [49][3950/10010] Time 0.327 (0.326) Data 0.001 (0.001) Loss 1.6832 (1.7750) Prec@1 61.719 (59.552) Prec@5 79.688 (81.218) Epoch: [49][3960/10010] Time 0.321 (0.326) Data 0.001 (0.001) Loss 1.6553 (1.7750) Prec@1 64.844 (59.552) Prec@5 85.938 (81.216) Epoch: [49][3970/10010] Time 0.319 (0.326) Data 0.001 (0.001) Loss 2.0813 (1.7749) Prec@1 57.812 (59.554) Prec@5 74.219 (81.218) Epoch: [49][3980/10010] Time 0.335 (0.326) Data 0.000 (0.001) Loss 1.7127 (1.7752) Prec@1 53.906 (59.548) Prec@5 82.812 (81.217) Epoch: [49][3990/10010] Time 0.313 (0.326) Data 0.000 (0.001) Loss 1.6783 (1.7753) Prec@1 60.938 (59.545) Prec@5 82.812 (81.218) Epoch: [49][4000/10010] Time 0.311 (0.326) Data 0.001 (0.001) Loss 1.6268 (1.7753) Prec@1 64.844 (59.546) Prec@5 79.688 (81.218) Epoch: [49][4010/10010] Time 0.328 (0.326) Data 0.001 (0.001) Loss 1.6080 (1.7753) Prec@1 63.281 (59.541) Prec@5 78.906 (81.217) Epoch: [49][4020/10010] Time 0.340 (0.326) Data 0.000 (0.001) Loss 1.7947 (1.7754) Prec@1 58.594 (59.540) Prec@5 80.469 (81.216) Epoch: [49][4030/10010] Time 0.321 (0.326) Data 0.001 (0.001) Loss 1.5383 (1.7753) Prec@1 67.969 (59.545) Prec@5 82.812 (81.216) Epoch: [49][4040/10010] Time 0.318 (0.326) Data 0.001 (0.001) Loss 1.7473 (1.7755) Prec@1 59.375 (59.541) Prec@5 82.031 (81.211) Epoch: [49][4050/10010] Time 0.321 (0.326) Data 0.001 (0.001) Loss 1.9350 (1.7754) Prec@1 57.812 (59.547) Prec@5 78.906 (81.214) Epoch: [49][4060/10010] Time 0.311 (0.326) Data 0.001 (0.001) Loss 1.5982 (1.7753) Prec@1 67.188 (59.553) Prec@5 82.812 (81.216) Epoch: [49][4070/10010] Time 0.322 (0.326) Data 0.001 (0.001) Loss 1.7476 (1.7754) Prec@1 60.156 (59.555) Prec@5 83.594 (81.214) Epoch: [49][4080/10010] Time 0.322 (0.326) Data 0.001 (0.001) Loss 1.5419 (1.7754) Prec@1 64.062 (59.555) Prec@5 87.500 (81.212) Epoch: [49][4090/10010] Time 0.328 (0.326) Data 0.000 (0.001) Loss 1.7368 (1.7756) Prec@1 64.062 (59.553) Prec@5 82.031 (81.212) Epoch: [49][4100/10010] Time 0.336 (0.326) Data 0.001 (0.001) Loss 1.8676 (1.7758) Prec@1 53.125 (59.546) Prec@5 80.469 (81.209) Epoch: [49][4110/10010] Time 0.337 (0.326) Data 0.000 (0.001) Loss 1.9665 (1.7758) Prec@1 57.812 (59.544) Prec@5 78.906 (81.206) Epoch: [49][4120/10010] Time 0.320 (0.326) Data 0.001 (0.001) Loss 1.8061 (1.7758) Prec@1 59.375 (59.545) Prec@5 80.469 (81.206) Epoch: [49][4130/10010] Time 0.322 (0.326) Data 0.000 (0.001) Loss 1.8233 (1.7755) Prec@1 56.250 (59.551) Prec@5 81.250 (81.212) Epoch: [49][4140/10010] Time 0.330 (0.326) Data 0.000 (0.001) Loss 1.5491 (1.7754) Prec@1 62.500 (59.553) Prec@5 85.938 (81.214) Epoch: [49][4150/10010] Time 0.333 (0.326) Data 0.001 (0.001) Loss 1.6853 (1.7753) Prec@1 58.594 (59.555) Prec@5 82.031 (81.211) Epoch: [49][4160/10010] Time 0.323 (0.326) Data 0.000 (0.001) Loss 1.7969 (1.7752) Prec@1 58.594 (59.558) Prec@5 75.781 (81.212) Epoch: [49][4170/10010] Time 0.339 (0.326) Data 0.000 (0.001) Loss 1.9677 (1.7755) Prec@1 51.562 (59.556) Prec@5 76.562 (81.209) Epoch: [49][4180/10010] Time 0.315 (0.326) Data 0.000 (0.001) Loss 1.6142 (1.7754) Prec@1 65.625 (59.557) Prec@5 84.375 (81.210) Epoch: [49][4190/10010] Time 0.321 (0.326) Data 0.001 (0.001) Loss 1.6275 (1.7756) Prec@1 66.406 (59.557) Prec@5 81.250 (81.205) Epoch: [49][4200/10010] Time 0.334 (0.326) Data 0.001 (0.001) Loss 1.6698 (1.7758) Prec@1 66.406 (59.556) Prec@5 86.719 (81.205) Epoch: [49][4210/10010] Time 0.321 (0.326) Data 0.001 (0.001) Loss 1.7531 (1.7760) Prec@1 61.719 (59.551) Prec@5 82.812 (81.201) Epoch: [49][4220/10010] Time 0.331 (0.326) Data 0.000 (0.001) Loss 1.6778 (1.7760) Prec@1 64.844 (59.552) Prec@5 80.469 (81.202) Epoch: [49][4230/10010] Time 0.330 (0.326) Data 0.001 (0.001) Loss 1.5966 (1.7762) Prec@1 63.281 (59.548) Prec@5 85.156 (81.201) Epoch: [49][4240/10010] Time 0.332 (0.326) Data 0.001 (0.001) Loss 1.6770 (1.7762) Prec@1 58.594 (59.545) Prec@5 81.250 (81.198) Epoch: [49][4250/10010] Time 0.328 (0.326) Data 0.001 (0.001) Loss 1.7246 (1.7761) Prec@1 57.812 (59.551) Prec@5 82.031 (81.199) Epoch: [49][4260/10010] Time 0.333 (0.326) Data 0.000 (0.001) Loss 1.7500 (1.7761) Prec@1 58.594 (59.554) Prec@5 82.812 (81.199) Epoch: [49][4270/10010] Time 0.321 (0.326) Data 0.000 (0.001) Loss 1.9595 (1.7760) Prec@1 56.250 (59.556) Prec@5 79.688 (81.201) Epoch: [49][4280/10010] Time 0.320 (0.326) Data 0.001 (0.001) Loss 1.7177 (1.7762) Prec@1 61.719 (59.551) Prec@5 78.906 (81.196) Epoch: [49][4290/10010] Time 0.339 (0.326) Data 0.000 (0.001) Loss 1.8244 (1.7762) Prec@1 54.688 (59.550) Prec@5 81.250 (81.196) Epoch: [49][4300/10010] Time 0.332 (0.326) Data 0.000 (0.001) Loss 2.2177 (1.7760) Prec@1 49.219 (59.550) Prec@5 74.219 (81.199) Epoch: [49][4310/10010] Time 0.318 (0.326) Data 0.001 (0.001) Loss 1.7080 (1.7761) Prec@1 62.500 (59.550) Prec@5 84.375 (81.196) Epoch: [49][4320/10010] Time 0.323 (0.325) Data 0.001 (0.001) Loss 1.8268 (1.7759) Prec@1 56.250 (59.553) Prec@5 81.250 (81.199) Epoch: [49][4330/10010] Time 0.316 (0.325) Data 0.001 (0.001) Loss 1.8891 (1.7760) Prec@1 63.281 (59.550) Prec@5 78.906 (81.197) Epoch: [49][4340/10010] Time 0.317 (0.325) Data 0.001 (0.001) Loss 1.8293 (1.7760) Prec@1 58.594 (59.547) Prec@5 83.594 (81.199) Epoch: [49][4350/10010] Time 0.323 (0.325) Data 0.000 (0.001) Loss 1.2951 (1.7761) Prec@1 69.531 (59.542) Prec@5 89.844 (81.198) Epoch: [49][4360/10010] Time 0.316 (0.325) Data 0.001 (0.001) Loss 1.5511 (1.7764) Prec@1 61.719 (59.538) Prec@5 84.375 (81.195) Epoch: [49][4370/10010] Time 0.315 (0.325) Data 0.001 (0.001) Loss 1.5851 (1.7764) Prec@1 64.844 (59.536) Prec@5 85.938 (81.195) Epoch: [49][4380/10010] Time 0.322 (0.325) Data 0.000 (0.001) Loss 1.7393 (1.7763) Prec@1 61.719 (59.540) Prec@5 85.156 (81.195) Epoch: [49][4390/10010] Time 0.313 (0.325) Data 0.001 (0.001) Loss 1.9338 (1.7765) Prec@1 56.250 (59.540) Prec@5 78.125 (81.194) Epoch: [49][4400/10010] Time 0.333 (0.325) Data 0.000 (0.001) Loss 1.7134 (1.7766) Prec@1 64.062 (59.536) Prec@5 83.594 (81.191) Epoch: [49][4410/10010] Time 0.324 (0.325) Data 0.000 (0.001) Loss 1.9001 (1.7766) Prec@1 55.469 (59.534) Prec@5 80.469 (81.193) Epoch: [49][4420/10010] Time 0.321 (0.325) Data 0.001 (0.001) Loss 1.7958 (1.7767) Prec@1 58.594 (59.530) Prec@5 81.250 (81.193) Epoch: [49][4430/10010] Time 0.335 (0.325) Data 0.001 (0.001) Loss 1.5846 (1.7766) Prec@1 70.312 (59.537) Prec@5 83.594 (81.194) Epoch: [49][4440/10010] Time 0.332 (0.325) Data 0.001 (0.001) Loss 1.7469 (1.7765) Prec@1 60.938 (59.535) Prec@5 79.688 (81.193) Epoch: [49][4450/10010] Time 0.339 (0.325) Data 0.001 (0.001) Loss 1.5604 (1.7765) Prec@1 67.188 (59.536) Prec@5 84.375 (81.195) Epoch: [49][4460/10010] Time 0.312 (0.325) Data 0.001 (0.001) Loss 1.8801 (1.7766) Prec@1 60.156 (59.536) Prec@5 78.125 (81.194) Epoch: [49][4470/10010] Time 0.328 (0.325) Data 0.001 (0.001) Loss 1.8759 (1.7766) Prec@1 57.031 (59.536) Prec@5 82.031 (81.197) Epoch: [49][4480/10010] Time 0.335 (0.325) Data 0.001 (0.001) Loss 1.5551 (1.7766) Prec@1 64.062 (59.530) Prec@5 86.719 (81.195) Epoch: [49][4490/10010] Time 0.322 (0.325) Data 0.000 (0.001) Loss 1.6567 (1.7767) Prec@1 65.625 (59.535) Prec@5 82.812 (81.194) Epoch: [49][4500/10010] Time 0.334 (0.325) Data 0.000 (0.001) Loss 1.7699 (1.7768) Prec@1 64.844 (59.537) Prec@5 80.469 (81.189) Epoch: [49][4510/10010] Time 0.317 (0.325) Data 0.001 (0.001) Loss 2.0150 (1.7768) Prec@1 55.469 (59.535) Prec@5 75.781 (81.187) Epoch: [49][4520/10010] Time 0.338 (0.325) Data 0.000 (0.001) Loss 1.7242 (1.7768) Prec@1 61.719 (59.535) Prec@5 81.250 (81.185) Epoch: [49][4530/10010] Time 0.341 (0.325) Data 0.001 (0.001) Loss 1.8870 (1.7770) Prec@1 57.031 (59.533) Prec@5 78.906 (81.184) Epoch: [49][4540/10010] Time 0.326 (0.325) Data 0.001 (0.001) Loss 1.4370 (1.7769) Prec@1 67.969 (59.534) Prec@5 89.062 (81.185) Epoch: [49][4550/10010] Time 0.325 (0.325) Data 0.001 (0.001) Loss 1.9417 (1.7769) Prec@1 55.469 (59.531) Prec@5 79.688 (81.183) Epoch: [49][4560/10010] Time 0.327 (0.325) Data 0.001 (0.001) Loss 1.9533 (1.7769) Prec@1 57.031 (59.534) Prec@5 82.031 (81.185) Epoch: [49][4570/10010] Time 0.319 (0.325) Data 0.000 (0.001) Loss 1.9980 (1.7768) Prec@1 56.250 (59.535) Prec@5 75.000 (81.183) Epoch: [49][4580/10010] Time 0.317 (0.325) Data 0.001 (0.001) Loss 1.6318 (1.7769) Prec@1 57.812 (59.529) Prec@5 87.500 (81.182) Epoch: [49][4590/10010] Time 0.338 (0.325) Data 0.001 (0.001) Loss 1.4896 (1.7770) Prec@1 64.844 (59.528) Prec@5 85.938 (81.180) Epoch: [49][4600/10010] Time 0.332 (0.325) Data 0.001 (0.001) Loss 1.6569 (1.7772) Prec@1 62.500 (59.524) Prec@5 81.250 (81.176) Epoch: [49][4610/10010] Time 0.332 (0.325) Data 0.001 (0.001) Loss 1.4719 (1.7774) Prec@1 68.750 (59.521) Prec@5 85.156 (81.174) Epoch: [49][4620/10010] Time 0.324 (0.325) Data 0.001 (0.001) Loss 1.5003 (1.7772) Prec@1 64.844 (59.524) Prec@5 84.375 (81.178) Epoch: [49][4630/10010] Time 0.319 (0.325) Data 0.001 (0.001) Loss 1.6756 (1.7772) Prec@1 59.375 (59.524) Prec@5 83.594 (81.182) Epoch: [49][4640/10010] Time 0.330 (0.325) Data 0.000 (0.001) Loss 1.8410 (1.7769) Prec@1 58.594 (59.530) Prec@5 79.688 (81.187) Epoch: [49][4650/10010] Time 0.331 (0.325) Data 0.001 (0.001) Loss 1.9422 (1.7772) Prec@1 53.125 (59.524) Prec@5 81.250 (81.186) Epoch: [49][4660/10010] Time 0.333 (0.325) Data 0.000 (0.001) Loss 1.8380 (1.7774) Prec@1 58.594 (59.521) Prec@5 79.688 (81.184) Epoch: [49][4670/10010] Time 0.323 (0.325) Data 0.001 (0.001) Loss 1.7141 (1.7777) Prec@1 60.938 (59.514) Prec@5 80.469 (81.178) Epoch: [49][4680/10010] Time 0.341 (0.325) Data 0.001 (0.001) Loss 1.9213 (1.7777) Prec@1 59.375 (59.513) Prec@5 79.688 (81.178) Epoch: [49][4690/10010] Time 0.312 (0.325) Data 0.001 (0.001) Loss 2.2928 (1.7779) Prec@1 57.031 (59.510) Prec@5 71.875 (81.174) Epoch: [49][4700/10010] Time 0.323 (0.326) Data 0.001 (0.001) Loss 1.7047 (1.7780) Prec@1 59.375 (59.510) Prec@5 85.938 (81.172) Epoch: [49][4710/10010] Time 0.335 (0.325) Data 0.001 (0.001) Loss 1.3665 (1.7781) Prec@1 68.750 (59.509) Prec@5 89.062 (81.172) Epoch: [49][4720/10010] Time 0.336 (0.326) Data 0.001 (0.001) Loss 1.7896 (1.7781) Prec@1 59.375 (59.506) Prec@5 78.125 (81.170) Epoch: [49][4730/10010] Time 0.340 (0.326) Data 0.000 (0.001) Loss 1.9737 (1.7781) Prec@1 58.594 (59.505) Prec@5 75.000 (81.171) Epoch: [49][4740/10010] Time 0.316 (0.326) Data 0.000 (0.001) Loss 1.8497 (1.7782) Prec@1 54.688 (59.504) Prec@5 84.375 (81.174) Epoch: [49][4750/10010] Time 0.333 (0.326) Data 0.000 (0.001) Loss 1.7800 (1.7779) Prec@1 60.156 (59.508) Prec@5 77.344 (81.176) Epoch: [49][4760/10010] Time 0.336 (0.326) Data 0.001 (0.001) Loss 1.8215 (1.7778) Prec@1 57.031 (59.505) Prec@5 82.812 (81.180) Epoch: [49][4770/10010] Time 0.313 (0.326) Data 0.001 (0.001) Loss 1.9326 (1.7777) Prec@1 58.594 (59.507) Prec@5 80.469 (81.182) Epoch: [49][4780/10010] Time 0.317 (0.326) Data 0.000 (0.001) Loss 1.8194 (1.7776) Prec@1 55.469 (59.511) Prec@5 78.125 (81.183) Epoch: [49][4790/10010] Time 0.311 (0.326) Data 0.001 (0.001) Loss 1.7308 (1.7775) Prec@1 59.375 (59.512) Prec@5 83.594 (81.184) Epoch: [49][4800/10010] Time 0.337 (0.326) Data 0.000 (0.001) Loss 1.7589 (1.7774) Prec@1 60.156 (59.514) Prec@5 81.250 (81.186) Epoch: [49][4810/10010] Time 0.313 (0.326) Data 0.001 (0.001) Loss 1.7291 (1.7772) Prec@1 62.500 (59.519) Prec@5 81.250 (81.187) Epoch: [49][4820/10010] Time 0.328 (0.326) Data 0.000 (0.001) Loss 2.1121 (1.7772) Prec@1 50.781 (59.516) Prec@5 76.562 (81.185) Epoch: [49][4830/10010] Time 0.340 (0.326) Data 0.000 (0.001) Loss 1.9042 (1.7773) Prec@1 55.469 (59.517) Prec@5 83.594 (81.186) Epoch: [49][4840/10010] Time 0.319 (0.326) Data 0.001 (0.001) Loss 2.0404 (1.7774) Prec@1 59.375 (59.517) Prec@5 78.125 (81.182) Epoch: [49][4850/10010] Time 0.330 (0.326) Data 0.000 (0.001) Loss 1.9489 (1.7778) Prec@1 60.156 (59.513) Prec@5 78.125 (81.177) Epoch: [49][4860/10010] Time 0.326 (0.326) Data 0.000 (0.001) Loss 1.5270 (1.7778) Prec@1 61.719 (59.512) Prec@5 85.938 (81.173) Epoch: [49][4870/10010] Time 0.337 (0.326) Data 0.001 (0.001) Loss 1.8569 (1.7780) Prec@1 57.812 (59.509) Prec@5 77.344 (81.169) Epoch: [49][4880/10010] Time 0.313 (0.326) Data 0.001 (0.001) Loss 1.8653 (1.7781) Prec@1 54.688 (59.505) Prec@5 79.688 (81.169) Epoch: [49][4890/10010] Time 0.336 (0.326) Data 0.000 (0.001) Loss 1.9561 (1.7784) Prec@1 57.031 (59.501) Prec@5 78.125 (81.164) Epoch: [49][4900/10010] Time 0.319 (0.326) Data 0.001 (0.001) Loss 1.7164 (1.7785) Prec@1 57.031 (59.497) Prec@5 79.688 (81.161) Epoch: [49][4910/10010] Time 0.330 (0.326) Data 0.001 (0.001) Loss 1.7326 (1.7785) Prec@1 62.500 (59.493) Prec@5 83.594 (81.162) Epoch: [49][4920/10010] Time 0.310 (0.326) Data 0.001 (0.001) Loss 1.9785 (1.7785) Prec@1 56.250 (59.495) Prec@5 75.000 (81.163) Epoch: [49][4930/10010] Time 0.339 (0.326) Data 0.001 (0.001) Loss 1.5313 (1.7785) Prec@1 64.062 (59.496) Prec@5 82.812 (81.163) Epoch: [49][4940/10010] Time 0.324 (0.326) Data 0.001 (0.001) Loss 1.5264 (1.7785) Prec@1 61.719 (59.493) Prec@5 86.719 (81.165) Epoch: [49][4950/10010] Time 0.318 (0.325) Data 0.000 (0.001) Loss 2.0579 (1.7785) Prec@1 56.250 (59.491) Prec@5 78.125 (81.164) Epoch: [49][4960/10010] Time 0.334 (0.325) Data 0.001 (0.001) Loss 1.7010 (1.7784) Prec@1 58.594 (59.493) Prec@5 82.031 (81.166) Epoch: [49][4970/10010] Time 0.336 (0.325) Data 0.001 (0.001) Loss 1.8442 (1.7785) Prec@1 56.250 (59.490) Prec@5 78.125 (81.163) Epoch: [49][4980/10010] Time 0.331 (0.326) Data 0.001 (0.001) Loss 1.6507 (1.7785) Prec@1 66.406 (59.490) Prec@5 82.812 (81.165) Epoch: [49][4990/10010] Time 0.339 (0.325) Data 0.001 (0.001) Loss 1.6227 (1.7786) Prec@1 64.062 (59.491) Prec@5 82.031 (81.164) Epoch: [49][5000/10010] Time 0.320 (0.325) Data 0.000 (0.001) Loss 1.6852 (1.7785) Prec@1 56.250 (59.493) Prec@5 82.031 (81.165) Epoch: [49][5010/10010] Time 0.322 (0.325) Data 0.001 (0.001) Loss 1.9720 (1.7787) Prec@1 52.344 (59.490) Prec@5 78.906 (81.162) Epoch: [49][5020/10010] Time 0.338 (0.326) Data 0.001 (0.001) Loss 1.8670 (1.7786) Prec@1 61.719 (59.495) Prec@5 78.125 (81.165) Epoch: [49][5030/10010] Time 0.312 (0.325) Data 0.001 (0.001) Loss 1.6786 (1.7786) Prec@1 61.719 (59.494) Prec@5 81.250 (81.165) Epoch: [49][5040/10010] Time 0.315 (0.325) Data 0.001 (0.001) Loss 1.7685 (1.7786) Prec@1 57.031 (59.495) Prec@5 82.031 (81.166) Epoch: [49][5050/10010] Time 0.321 (0.325) Data 0.001 (0.001) Loss 2.0639 (1.7789) Prec@1 53.125 (59.486) Prec@5 76.562 (81.162) Epoch: [49][5060/10010] Time 0.316 (0.325) Data 0.001 (0.001) Loss 1.7187 (1.7790) Prec@1 60.938 (59.485) Prec@5 79.688 (81.158) Epoch: [49][5070/10010] Time 0.318 (0.325) Data 0.001 (0.001) Loss 1.9117 (1.7792) Prec@1 55.469 (59.481) Prec@5 77.344 (81.155) Epoch: [49][5080/10010] Time 0.330 (0.325) Data 0.000 (0.001) Loss 1.9040 (1.7794) Prec@1 55.469 (59.476) Prec@5 81.250 (81.154) Epoch: [49][5090/10010] Time 0.317 (0.325) Data 0.001 (0.001) Loss 1.7833 (1.7795) Prec@1 59.375 (59.476) Prec@5 78.906 (81.154) Epoch: [49][5100/10010] Time 0.321 (0.325) Data 0.001 (0.001) Loss 1.8761 (1.7794) Prec@1 55.469 (59.479) Prec@5 78.125 (81.154) Epoch: [49][5110/10010] Time 0.313 (0.325) Data 0.001 (0.001) Loss 2.3281 (1.7796) Prec@1 50.781 (59.473) Prec@5 73.438 (81.150) Epoch: [49][5120/10010] Time 0.328 (0.325) Data 0.001 (0.001) Loss 1.9985 (1.7797) Prec@1 64.844 (59.476) Prec@5 76.562 (81.149) Epoch: [49][5130/10010] Time 0.317 (0.325) Data 0.001 (0.001) Loss 1.8585 (1.7797) Prec@1 60.156 (59.475) Prec@5 82.812 (81.151) /data/vision/torralba/deepscene/lib/anaconda2/lib/python2.7/site-packages/PIL/TiffImagePlugin.py:692: UserWarning: Possibly corrupt EXIF data. Expecting to read 1835008 bytes but only got 0. Skipping tag 0 "Skipping tag %s" % (size, len(data), tag)) Epoch: [49][5140/10010] Time 0.329 (0.325) Data 0.001 (0.001) Loss 1.8484 (1.7796) Prec@1 58.594 (59.476) Prec@5 80.469 (81.151) Epoch: [49][5150/10010] Time 0.322 (0.325) Data 0.001 (0.001) Loss 1.8483 (1.7795) Prec@1 60.156 (59.480) Prec@5 78.125 (81.151) Epoch: [49][5160/10010] Time 0.338 (0.325) Data 0.000 (0.001) Loss 1.8146 (1.7792) Prec@1 57.031 (59.487) Prec@5 80.469 (81.154) Epoch: [49][5170/10010] Time 0.334 (0.325) Data 0.000 (0.001) Loss 1.7116 (1.7794) Prec@1 60.156 (59.481) Prec@5 76.562 (81.150) Epoch: [49][5180/10010] Time 0.314 (0.325) Data 0.001 (0.001) Loss 1.8761 (1.7794) Prec@1 57.812 (59.481) Prec@5 80.469 (81.151) Epoch: [49][5190/10010] Time 0.340 (0.325) Data 0.001 (0.001) Loss 1.7647 (1.7794) Prec@1 58.594 (59.482) Prec@5 78.125 (81.151) Epoch: [49][5200/10010] Time 0.333 (0.325) Data 0.000 (0.001) Loss 1.7533 (1.7793) Prec@1 57.812 (59.483) Prec@5 81.250 (81.154) Epoch: [49][5210/10010] Time 0.333 (0.325) Data 0.000 (0.001) Loss 1.8234 (1.7792) Prec@1 60.938 (59.485) Prec@5 82.031 (81.157) Epoch: [49][5220/10010] Time 0.316 (0.325) Data 0.001 (0.001) Loss 1.8690 (1.7792) Prec@1 65.625 (59.486) Prec@5 78.125 (81.157) Epoch: [49][5230/10010] Time 0.321 (0.325) Data 0.001 (0.001) Loss 1.8873 (1.7793) Prec@1 57.812 (59.484) Prec@5 79.688 (81.157) Epoch: [49][5240/10010] Time 0.330 (0.325) Data 0.000 (0.001) Loss 1.4919 (1.7793) Prec@1 61.719 (59.485) Prec@5 83.594 (81.157) Epoch: [49][5250/10010] Time 0.323 (0.325) Data 0.001 (0.001) Loss 1.9610 (1.7792) Prec@1 53.125 (59.486) Prec@5 77.344 (81.158) Epoch: [49][5260/10010] Time 0.323 (0.325) Data 0.000 (0.001) Loss 1.9185 (1.7793) Prec@1 56.250 (59.482) Prec@5 78.906 (81.157) Epoch: [49][5270/10010] Time 0.313 (0.325) Data 0.001 (0.001) Loss 1.6923 (1.7793) Prec@1 64.062 (59.481) Prec@5 82.031 (81.155) Epoch: [49][5280/10010] Time 0.324 (0.325) Data 0.000 (0.001) Loss 1.7976 (1.7792) Prec@1 60.156 (59.484) Prec@5 79.688 (81.157) Epoch: [49][5290/10010] Time 0.339 (0.325) Data 0.001 (0.001) Loss 1.7076 (1.7792) Prec@1 60.938 (59.483) Prec@5 81.250 (81.157) Epoch: [49][5300/10010] Time 0.323 (0.325) Data 0.001 (0.001) Loss 1.8725 (1.7793) Prec@1 59.375 (59.485) Prec@5 76.562 (81.157) Epoch: [49][5310/10010] Time 0.317 (0.325) Data 0.001 (0.001) Loss 1.8066 (1.7791) Prec@1 56.250 (59.484) Prec@5 78.125 (81.158) Epoch: [49][5320/10010] Time 0.318 (0.325) Data 0.000 (0.001) Loss 1.5996 (1.7791) Prec@1 64.844 (59.483) Prec@5 82.031 (81.158) Epoch: [49][5330/10010] Time 0.334 (0.325) Data 0.001 (0.001) Loss 1.7152 (1.7792) Prec@1 64.844 (59.481) Prec@5 82.812 (81.156) Epoch: [49][5340/10010] Time 0.319 (0.325) Data 0.001 (0.001) Loss 1.5974 (1.7791) Prec@1 63.281 (59.483) Prec@5 85.156 (81.156) Epoch: [49][5350/10010] Time 0.337 (0.325) Data 0.001 (0.001) Loss 1.9665 (1.7790) Prec@1 57.031 (59.484) Prec@5 75.000 (81.156) /data/vision/torralba/deepscene/lib/anaconda2/lib/python2.7/site-packages/PIL/TiffImagePlugin.py:692: UserWarning: Possibly corrupt EXIF data. Expecting to read 2555904 bytes but only got 0. Skipping tag 0 "Skipping tag %s" % (size, len(data), tag)) Epoch: [49][5360/10010] Time 0.317 (0.325) Data 0.001 (0.001) Loss 1.5439 (1.7790) Prec@1 62.500 (59.484) Prec@5 83.594 (81.157) Epoch: [49][5370/10010] Time 0.339 (0.325) Data 0.001 (0.001) Loss 1.9319 (1.7792) Prec@1 57.812 (59.481) Prec@5 76.562 (81.154) Epoch: [49][5380/10010] Time 0.335 (0.325) Data 0.001 (0.001) Loss 1.6732 (1.7789) Prec@1 61.719 (59.488) Prec@5 84.375 (81.159) Epoch: [49][5390/10010] Time 0.337 (0.325) Data 0.001 (0.001) Loss 2.1443 (1.7790) Prec@1 52.344 (59.487) Prec@5 76.562 (81.156) Epoch: [49][5400/10010] Time 0.320 (0.325) Data 0.000 (0.001) Loss 2.0549 (1.7789) Prec@1 57.031 (59.488) Prec@5 74.219 (81.158) Epoch: [49][5410/10010] Time 0.327 (0.325) Data 0.001 (0.001) Loss 1.7015 (1.7790) Prec@1 60.938 (59.488) Prec@5 82.812 (81.156) Epoch: [49][5420/10010] Time 0.339 (0.325) Data 0.001 (0.001) Loss 1.6573 (1.7791) Prec@1 59.375 (59.485) Prec@5 80.469 (81.154) Epoch: [49][5430/10010] Time 0.319 (0.325) Data 0.001 (0.001) Loss 1.9734 (1.7790) Prec@1 55.469 (59.485) Prec@5 76.562 (81.156) Epoch: [49][5440/10010] Time 0.334 (0.325) Data 0.001 (0.001) Loss 1.8969 (1.7791) Prec@1 54.688 (59.483) Prec@5 81.250 (81.156) Epoch: [49][5450/10010] Time 0.316 (0.325) Data 0.001 (0.001) Loss 1.5502 (1.7790) Prec@1 64.062 (59.482) Prec@5 84.375 (81.156) Epoch: [49][5460/10010] Time 0.337 (0.325) Data 0.001 (0.001) Loss 1.8747 (1.7789) Prec@1 55.469 (59.483) Prec@5 81.250 (81.157) Epoch: [49][5470/10010] Time 0.326 (0.325) Data 0.001 (0.001) Loss 1.6948 (1.7790) Prec@1 60.156 (59.484) Prec@5 82.812 (81.156) Epoch: [49][5480/10010] Time 0.320 (0.325) Data 0.000 (0.001) Loss 1.4534 (1.7790) Prec@1 64.844 (59.484) Prec@5 86.719 (81.155) Epoch: [49][5490/10010] Time 0.320 (0.325) Data 0.001 (0.001) Loss 2.1507 (1.7791) Prec@1 50.781 (59.481) Prec@5 73.438 (81.153) Epoch: [49][5500/10010] Time 0.343 (0.325) Data 0.000 (0.001) Loss 2.0094 (1.7792) Prec@1 55.469 (59.480) Prec@5 79.688 (81.153) Epoch: [49][5510/10010] Time 0.327 (0.325) Data 0.001 (0.001) Loss 1.5570 (1.7793) Prec@1 65.625 (59.479) Prec@5 85.156 (81.154) Epoch: [49][5520/10010] Time 0.324 (0.325) Data 0.001 (0.001) Loss 1.3753 (1.7792) Prec@1 61.719 (59.478) Prec@5 89.844 (81.155) Epoch: [49][5530/10010] Time 0.323 (0.325) Data 0.000 (0.001) Loss 1.7673 (1.7792) Prec@1 60.938 (59.477) Prec@5 83.594 (81.155) Epoch: [49][5540/10010] Time 0.343 (0.325) Data 0.001 (0.001) Loss 1.9703 (1.7793) Prec@1 53.906 (59.477) Prec@5 78.125 (81.156) Epoch: [49][5550/10010] Time 0.311 (0.325) Data 0.001 (0.001) Loss 1.6857 (1.7792) Prec@1 63.281 (59.480) Prec@5 82.031 (81.157) Epoch: [49][5560/10010] Time 0.320 (0.325) Data 0.001 (0.001) Loss 1.4365 (1.7790) Prec@1 60.938 (59.481) Prec@5 87.500 (81.160) Epoch: [49][5570/10010] Time 0.323 (0.325) Data 0.000 (0.001) Loss 1.7491 (1.7789) Prec@1 57.812 (59.483) Prec@5 78.125 (81.162) Epoch: [49][5580/10010] Time 0.309 (0.325) Data 0.001 (0.001) Loss 1.8612 (1.7791) Prec@1 55.469 (59.480) Prec@5 79.688 (81.161) Epoch: [49][5590/10010] Time 0.323 (0.325) Data 0.001 (0.001) Loss 1.8010 (1.7791) Prec@1 55.469 (59.484) Prec@5 83.594 (81.162) Epoch: [49][5600/10010] Time 0.328 (0.325) Data 0.000 (0.001) Loss 1.6397 (1.7791) Prec@1 64.062 (59.485) Prec@5 86.719 (81.161) Epoch: [49][5610/10010] Time 0.336 (0.325) Data 0.000 (0.001) Loss 1.6162 (1.7790) Prec@1 63.281 (59.486) Prec@5 83.594 (81.162) /data/vision/torralba/deepscene/lib/anaconda2/lib/python2.7/site-packages/PIL/TiffImagePlugin.py:692: UserWarning: Possibly corrupt EXIF data. Expecting to read 2555904 bytes but only got 0. Skipping tag 0 "Skipping tag %s" % (size, len(data), tag)) Epoch: [49][5620/10010] Time 0.324 (0.325) Data 0.001 (0.001) Loss 1.5728 (1.7789) Prec@1 64.844 (59.488) Prec@5 85.938 (81.165) Epoch: [49][5630/10010] Time 0.315 (0.325) Data 0.001 (0.001) Loss 2.0462 (1.7787) Prec@1 53.906 (59.491) Prec@5 75.781 (81.167) Epoch: [49][5640/10010] Time 0.338 (0.325) Data 0.001 (0.001) Loss 1.5492 (1.7787) Prec@1 63.281 (59.491) Prec@5 83.594 (81.166) Epoch: [49][5650/10010] Time 0.323 (0.325) Data 0.001 (0.001) Loss 1.5339 (1.7787) Prec@1 71.094 (59.492) Prec@5 85.938 (81.167) Epoch: [49][5660/10010] Time 0.323 (0.325) Data 0.000 (0.001) Loss 1.7770 (1.7787) Prec@1 57.812 (59.487) Prec@5 81.250 (81.168) Epoch: [49][5670/10010] Time 0.332 (0.325) Data 0.001 (0.001) Loss 1.5719 (1.7786) Prec@1 60.156 (59.487) Prec@5 83.594 (81.171) Epoch: [49][5680/10010] Time 0.339 (0.325) Data 0.001 (0.001) Loss 1.5463 (1.7787) Prec@1 64.062 (59.488) Prec@5 85.156 (81.169) Epoch: [49][5690/10010] Time 0.342 (0.325) Data 0.001 (0.001) Loss 1.5500 (1.7785) Prec@1 64.062 (59.492) Prec@5 85.156 (81.171) Epoch: [49][5700/10010] Time 0.339 (0.325) Data 0.001 (0.001) Loss 1.9020 (1.7786) Prec@1 57.812 (59.491) Prec@5 80.469 (81.168) Epoch: [49][5710/10010] Time 0.339 (0.325) Data 0.000 (0.001) Loss 1.8733 (1.7785) Prec@1 54.688 (59.491) Prec@5 78.906 (81.171) Epoch: [49][5720/10010] Time 0.324 (0.325) Data 0.001 (0.001) Loss 1.9518 (1.7785) Prec@1 57.812 (59.490) Prec@5 75.781 (81.169) Epoch: [49][5730/10010] Time 0.337 (0.325) Data 0.000 (0.001) Loss 2.0381 (1.7785) Prec@1 55.469 (59.488) Prec@5 82.031 (81.170) Epoch: [49][5740/10010] Time 0.327 (0.325) Data 0.001 (0.001) Loss 1.9811 (1.7786) Prec@1 56.250 (59.490) Prec@5 76.562 (81.170) Epoch: [49][5750/10010] Time 0.321 (0.325) Data 0.001 (0.001) Loss 2.0186 (1.7784) Prec@1 54.688 (59.493) Prec@5 80.469 (81.171) Epoch: [49][5760/10010] Time 0.319 (0.325) Data 0.000 (0.001) Loss 1.6406 (1.7784) Prec@1 66.406 (59.496) Prec@5 83.594 (81.171) /data/vision/torralba/deepscene/lib/anaconda2/lib/python2.7/site-packages/PIL/TiffImagePlugin.py:692: UserWarning: Possibly corrupt EXIF data. Expecting to read 2555904 bytes but only got 0. Skipping tag 0 "Skipping tag %s" % (size, len(data), tag)) Epoch: [49][5770/10010] Time 0.321 (0.325) Data 0.000 (0.001) Loss 1.4390 (1.7783) Prec@1 65.625 (59.498) Prec@5 85.938 (81.173) Epoch: [49][5780/10010] Time 0.317 (0.325) Data 0.001 (0.001) Loss 1.8228 (1.7782) Prec@1 59.375 (59.500) Prec@5 81.250 (81.174) Epoch: [49][5790/10010] Time 0.331 (0.325) Data 0.001 (0.001) Loss 1.5181 (1.7783) Prec@1 64.062 (59.497) Prec@5 83.594 (81.172) Epoch: [49][5800/10010] Time 0.321 (0.325) Data 0.001 (0.001) Loss 1.7159 (1.7782) Prec@1 62.500 (59.498) Prec@5 82.812 (81.174) Epoch: [49][5810/10010] Time 0.342 (0.325) Data 0.001 (0.001) Loss 1.7353 (1.7783) Prec@1 63.281 (59.499) Prec@5 79.688 (81.172) Epoch: [49][5820/10010] Time 0.312 (0.325) Data 0.001 (0.001) Loss 1.7653 (1.7784) Prec@1 55.469 (59.498) Prec@5 85.156 (81.172) Epoch: [49][5830/10010] Time 0.330 (0.325) Data 0.000 (0.001) Loss 1.6711 (1.7784) Prec@1 63.281 (59.497) Prec@5 79.688 (81.172) Epoch: [49][5840/10010] Time 0.321 (0.325) Data 0.001 (0.001) Loss 1.6810 (1.7783) Prec@1 53.906 (59.500) Prec@5 82.812 (81.174) Epoch: [49][5850/10010] Time 0.320 (0.325) Data 0.001 (0.001) Loss 1.7021 (1.7783) Prec@1 66.406 (59.499) Prec@5 82.812 (81.175) Epoch: [49][5860/10010] Time 0.321 (0.325) Data 0.000 (0.001) Loss 1.8651 (1.7784) Prec@1 60.938 (59.497) Prec@5 81.250 (81.175) Epoch: [49][5870/10010] Time 0.341 (0.325) Data 0.000 (0.001) Loss 1.7992 (1.7783) Prec@1 54.688 (59.495) Prec@5 77.344 (81.176) Epoch: [49][5880/10010] Time 0.315 (0.325) Data 0.001 (0.001) Loss 1.8811 (1.7784) Prec@1 60.156 (59.494) Prec@5 79.688 (81.172) Epoch: [49][5890/10010] Time 0.331 (0.325) Data 0.001 (0.001) Loss 1.7723 (1.7784) Prec@1 60.938 (59.496) Prec@5 78.906 (81.172) Epoch: [49][5900/10010] Time 0.337 (0.325) Data 0.001 (0.001) Loss 1.5580 (1.7784) Prec@1 67.969 (59.496) Prec@5 83.594 (81.173) Epoch: [49][5910/10010] Time 0.317 (0.325) Data 0.001 (0.001) Loss 1.5743 (1.7785) Prec@1 62.500 (59.496) Prec@5 86.719 (81.172) Epoch: [49][5920/10010] Time 0.330 (0.325) Data 0.001 (0.001) Loss 1.8486 (1.7787) Prec@1 53.125 (59.488) Prec@5 78.906 (81.169) Epoch: [49][5930/10010] Time 0.317 (0.325) Data 0.000 (0.001) Loss 1.7594 (1.7788) Prec@1 60.938 (59.487) Prec@5 82.031 (81.168) Epoch: [49][5940/10010] Time 0.337 (0.325) Data 0.001 (0.001) Loss 1.9370 (1.7788) Prec@1 53.125 (59.487) Prec@5 78.125 (81.169) Epoch: [49][5950/10010] Time 0.329 (0.325) Data 0.001 (0.001) Loss 1.3498 (1.7786) Prec@1 63.281 (59.490) Prec@5 87.500 (81.175) Epoch: [49][5960/10010] Time 0.337 (0.325) Data 0.001 (0.001) Loss 1.9642 (1.7786) Prec@1 57.031 (59.490) Prec@5 78.125 (81.176) Epoch: [49][5970/10010] Time 0.319 (0.325) Data 0.000 (0.001) Loss 1.5897 (1.7785) Prec@1 64.844 (59.491) Prec@5 85.938 (81.175) Epoch: [49][5980/10010] Time 0.339 (0.325) Data 0.001 (0.001) Loss 1.7481 (1.7785) Prec@1 62.500 (59.496) Prec@5 83.594 (81.178) Epoch: [49][5990/10010] Time 0.340 (0.325) Data 0.000 (0.001) Loss 2.0652 (1.7784) Prec@1 57.812 (59.495) Prec@5 76.562 (81.180) Epoch: [49][6000/10010] Time 0.327 (0.325) Data 0.001 (0.001) Loss 1.8724 (1.7784) Prec@1 59.375 (59.496) Prec@5 80.469 (81.179) Epoch: [49][6010/10010] Time 0.330 (0.325) Data 0.001 (0.001) Loss 1.8453 (1.7784) Prec@1 63.281 (59.497) Prec@5 80.469 (81.181) Epoch: [49][6020/10010] Time 0.316 (0.325) Data 0.001 (0.001) Loss 1.7853 (1.7785) Prec@1 53.906 (59.497) Prec@5 82.031 (81.179) Epoch: [49][6030/10010] Time 0.319 (0.325) Data 0.000 (0.001) Loss 1.5976 (1.7784) Prec@1 61.719 (59.500) Prec@5 85.938 (81.178) Epoch: [49][6040/10010] Time 0.315 (0.325) Data 0.001 (0.001) Loss 1.7534 (1.7784) Prec@1 57.812 (59.501) Prec@5 81.250 (81.177) Epoch: [49][6050/10010] Time 0.329 (0.325) Data 0.000 (0.001) Loss 1.6594 (1.7785) Prec@1 62.500 (59.501) Prec@5 82.812 (81.177) Epoch: [49][6060/10010] Time 0.337 (0.325) Data 0.000 (0.001) Loss 1.6805 (1.7785) Prec@1 61.719 (59.502) Prec@5 82.812 (81.173) Epoch: [49][6070/10010] Time 0.324 (0.325) Data 0.001 (0.001) Loss 1.6539 (1.7784) Prec@1 58.594 (59.503) Prec@5 83.594 (81.175) Epoch: [49][6080/10010] Time 0.324 (0.325) Data 0.001 (0.001) Loss 2.0608 (1.7783) Prec@1 53.906 (59.505) Prec@5 75.000 (81.176) Epoch: [49][6090/10010] Time 0.319 (0.325) Data 0.001 (0.001) Loss 1.5794 (1.7783) Prec@1 62.500 (59.503) Prec@5 86.719 (81.176) Epoch: [49][6100/10010] Time 0.339 (0.325) Data 0.001 (0.001) Loss 1.6340 (1.7783) Prec@1 58.594 (59.502) Prec@5 85.156 (81.175) Epoch: [49][6110/10010] Time 0.314 (0.325) Data 0.001 (0.001) Loss 2.2008 (1.7783) Prec@1 53.125 (59.501) Prec@5 72.656 (81.174) Epoch: [49][6120/10010] Time 0.314 (0.325) Data 0.001 (0.001) Loss 2.1534 (1.7785) Prec@1 51.562 (59.500) Prec@5 78.125 (81.174) Epoch: [49][6130/10010] Time 0.318 (0.325) Data 0.001 (0.001) Loss 1.8658 (1.7785) Prec@1 62.500 (59.502) Prec@5 78.906 (81.174) Epoch: [49][6140/10010] Time 0.338 (0.325) Data 0.001 (0.001) Loss 1.6811 (1.7783) Prec@1 60.156 (59.503) Prec@5 86.719 (81.178) Epoch: [49][6150/10010] Time 0.341 (0.325) Data 0.001 (0.001) Loss 1.6819 (1.7782) Prec@1 59.375 (59.505) Prec@5 81.250 (81.178) Epoch: [49][6160/10010] Time 0.318 (0.325) Data 0.001 (0.001) Loss 1.4973 (1.7781) Prec@1 67.188 (59.507) Prec@5 86.719 (81.178) Epoch: [49][6170/10010] Time 0.317 (0.325) Data 0.001 (0.001) Loss 1.5111 (1.7781) Prec@1 63.281 (59.506) Prec@5 81.250 (81.179) Epoch: [49][6180/10010] Time 0.320 (0.325) Data 0.001 (0.001) Loss 1.9851 (1.7781) Prec@1 59.375 (59.504) Prec@5 75.781 (81.176) Epoch: [49][6190/10010] Time 0.322 (0.325) Data 0.001 (0.001) Loss 1.9952 (1.7781) Prec@1 61.719 (59.506) Prec@5 81.250 (81.176) Epoch: [49][6200/10010] Time 0.316 (0.325) Data 0.000 (0.001) Loss 1.5268 (1.7781) Prec@1 67.969 (59.507) Prec@5 85.938 (81.175) Epoch: [49][6210/10010] Time 0.333 (0.325) Data 0.001 (0.001) Loss 1.6746 (1.7783) Prec@1 60.156 (59.504) Prec@5 83.594 (81.172) Epoch: [49][6220/10010] Time 0.324 (0.325) Data 0.001 (0.001) Loss 1.8105 (1.7784) Prec@1 56.250 (59.499) Prec@5 83.594 (81.171) Epoch: [49][6230/10010] Time 0.313 (0.325) Data 0.000 (0.001) Loss 1.7783 (1.7784) Prec@1 58.594 (59.500) Prec@5 79.688 (81.170) Epoch: [49][6240/10010] Time 0.328 (0.325) Data 0.001 (0.001) Loss 1.7143 (1.7785) Prec@1 61.719 (59.499) Prec@5 81.250 (81.168) Epoch: [49][6250/10010] Time 0.317 (0.325) Data 0.001 (0.001) Loss 1.7165 (1.7784) Prec@1 60.156 (59.498) Prec@5 80.469 (81.169) Epoch: [49][6260/10010] Time 0.336 (0.325) Data 0.000 (0.001) Loss 1.9396 (1.7784) Prec@1 57.031 (59.497) Prec@5 82.812 (81.168) Epoch: [49][6270/10010] Time 0.325 (0.325) Data 0.001 (0.001) Loss 1.4186 (1.7783) Prec@1 70.312 (59.499) Prec@5 89.062 (81.170) Epoch: [49][6280/10010] Time 0.334 (0.325) Data 0.001 (0.001) Loss 1.8814 (1.7784) Prec@1 57.812 (59.493) Prec@5 78.125 (81.168) Epoch: [49][6290/10010] Time 0.319 (0.325) Data 0.000 (0.001) Loss 1.4480 (1.7785) Prec@1 70.312 (59.493) Prec@5 86.719 (81.166) Epoch: [49][6300/10010] Time 0.316 (0.325) Data 0.000 (0.001) Loss 2.0114 (1.7786) Prec@1 58.594 (59.490) Prec@5 76.562 (81.163) Epoch: [49][6310/10010] Time 0.339 (0.325) Data 0.000 (0.001) Loss 1.7301 (1.7787) Prec@1 58.594 (59.488) Prec@5 80.469 (81.161) Epoch: [49][6320/10010] Time 0.325 (0.325) Data 0.000 (0.001) Loss 1.9539 (1.7787) Prec@1 53.906 (59.488) Prec@5 79.688 (81.162) Epoch: [49][6330/10010] Time 0.329 (0.325) Data 0.001 (0.001) Loss 1.7577 (1.7788) Prec@1 56.250 (59.487) Prec@5 78.906 (81.158) Epoch: [49][6340/10010] Time 0.322 (0.326) Data 0.000 (0.001) Loss 2.2586 (1.7788) Prec@1 51.562 (59.486) Prec@5 71.094 (81.157) Epoch: [49][6350/10010] Time 0.323 (0.325) Data 0.000 (0.001) Loss 1.6332 (1.7787) Prec@1 57.031 (59.487) Prec@5 84.375 (81.157) Epoch: [49][6360/10010] Time 0.339 (0.326) Data 0.001 (0.001) Loss 1.8780 (1.7787) Prec@1 57.812 (59.487) Prec@5 79.688 (81.159) Epoch: [49][6370/10010] Time 0.334 (0.326) Data 0.000 (0.001) Loss 1.7449 (1.7787) Prec@1 60.938 (59.486) Prec@5 83.594 (81.160) Epoch: [49][6380/10010] Time 0.324 (0.326) Data 0.000 (0.001) Loss 1.8272 (1.7786) Prec@1 60.156 (59.488) Prec@5 78.125 (81.161) Epoch: [49][6390/10010] Time 0.340 (0.326) Data 0.001 (0.001) Loss 1.9974 (1.7787) Prec@1 55.469 (59.489) Prec@5 77.344 (81.159) Epoch: [49][6400/10010] Time 0.327 (0.326) Data 0.001 (0.001) Loss 1.8392 (1.7788) Prec@1 53.125 (59.491) Prec@5 82.031 (81.157) Epoch: [49][6410/10010] Time 0.319 (0.326) Data 0.001 (0.001) Loss 1.8397 (1.7788) Prec@1 64.062 (59.494) Prec@5 78.125 (81.157) Epoch: [49][6420/10010] Time 0.337 (0.326) Data 0.000 (0.001) Loss 1.8684 (1.7787) Prec@1 58.594 (59.493) Prec@5 78.125 (81.158) Epoch: [49][6430/10010] Time 0.324 (0.326) Data 0.000 (0.001) Loss 1.7821 (1.7787) Prec@1 56.250 (59.492) Prec@5 81.250 (81.158) Epoch: [49][6440/10010] Time 0.325 (0.326) Data 0.001 (0.001) Loss 1.7946 (1.7788) Prec@1 62.500 (59.491) Prec@5 78.906 (81.153) Epoch: [49][6450/10010] Time 0.312 (0.325) Data 0.001 (0.001) Loss 1.6580 (1.7788) Prec@1 65.625 (59.495) Prec@5 84.375 (81.154) Epoch: [49][6460/10010] Time 0.308 (0.325) Data 0.001 (0.001) Loss 1.9499 (1.7788) Prec@1 53.906 (59.495) Prec@5 80.469 (81.153) Epoch: [49][6470/10010] Time 0.311 (0.325) Data 0.001 (0.001) Loss 1.8798 (1.7789) Prec@1 54.688 (59.492) Prec@5 80.469 (81.150) Epoch: [49][6480/10010] Time 0.334 (0.325) Data 0.001 (0.001) Loss 1.8734 (1.7791) Prec@1 62.500 (59.488) Prec@5 81.250 (81.148) Epoch: [49][6490/10010] Time 0.318 (0.325) Data 0.001 (0.001) Loss 2.1223 (1.7792) Prec@1 54.688 (59.486) Prec@5 78.125 (81.148) Epoch: [49][6500/10010] Time 0.309 (0.326) Data 0.001 (0.001) Loss 1.7458 (1.7792) Prec@1 57.812 (59.487) Prec@5 84.375 (81.149) Epoch: [49][6510/10010] Time 0.313 (0.326) Data 0.001 (0.001) Loss 1.6674 (1.7790) Prec@1 63.281 (59.489) Prec@5 82.031 (81.150) Epoch: [49][6520/10010] Time 0.340 (0.326) Data 0.001 (0.001) Loss 1.7082 (1.7790) Prec@1 60.156 (59.492) Prec@5 81.250 (81.150) Epoch: [49][6530/10010] Time 0.338 (0.326) Data 0.000 (0.001) Loss 1.8422 (1.7790) Prec@1 56.250 (59.490) Prec@5 81.250 (81.150) Epoch: [49][6540/10010] Time 0.318 (0.326) Data 0.001 (0.001) Loss 1.7464 (1.7788) Prec@1 63.281 (59.492) Prec@5 83.594 (81.154) Epoch: [49][6550/10010] Time 0.327 (0.326) Data 0.000 (0.001) Loss 1.5158 (1.7788) Prec@1 65.625 (59.492) Prec@5 86.719 (81.156) Epoch: [49][6560/10010] Time 0.313 (0.326) Data 0.001 (0.001) Loss 1.4372 (1.7788) Prec@1 64.844 (59.493) Prec@5 87.500 (81.157) Epoch: [49][6570/10010] Time 0.330 (0.326) Data 0.001 (0.001) Loss 1.6009 (1.7787) Prec@1 61.719 (59.491) Prec@5 83.594 (81.159) Epoch: [49][6580/10010] Time 0.336 (0.326) Data 0.001 (0.001) Loss 2.0710 (1.7787) Prec@1 57.812 (59.492) Prec@5 80.469 (81.160) Epoch: [49][6590/10010] Time 0.325 (0.326) Data 0.000 (0.001) Loss 1.9737 (1.7788) Prec@1 55.469 (59.489) Prec@5 75.781 (81.156) Epoch: [49][6600/10010] Time 0.329 (0.326) Data 0.000 (0.001) Loss 1.7098 (1.7789) Prec@1 64.062 (59.490) Prec@5 81.250 (81.154) Epoch: [49][6610/10010] Time 0.333 (0.326) Data 0.001 (0.001) Loss 2.1918 (1.7788) Prec@1 51.562 (59.490) Prec@5 71.875 (81.153) Epoch: [49][6620/10010] Time 0.339 (0.326) Data 0.001 (0.001) Loss 1.9574 (1.7788) Prec@1 55.469 (59.493) Prec@5 73.438 (81.154) Epoch: [49][6630/10010] Time 0.342 (0.326) Data 0.000 (0.001) Loss 1.7583 (1.7787) Prec@1 60.156 (59.491) Prec@5 82.031 (81.156) Epoch: [49][6640/10010] Time 0.316 (0.326) Data 0.001 (0.001) Loss 1.5112 (1.7786) Prec@1 61.719 (59.493) Prec@5 83.594 (81.157) Epoch: [49][6650/10010] Time 0.319 (0.326) Data 0.001 (0.001) Loss 2.0189 (1.7788) Prec@1 56.250 (59.492) Prec@5 75.000 (81.153) Epoch: [49][6660/10010] Time 0.318 (0.326) Data 0.001 (0.001) Loss 1.5990 (1.7787) Prec@1 63.281 (59.494) Prec@5 80.469 (81.156) Epoch: [49][6670/10010] Time 0.326 (0.326) Data 0.000 (0.001) Loss 1.8270 (1.7788) Prec@1 56.250 (59.492) Prec@5 82.031 (81.154) Epoch: [49][6680/10010] Time 0.317 (0.326) Data 0.001 (0.001) Loss 1.8274 (1.7788) Prec@1 57.812 (59.490) Prec@5 82.031 (81.154) Epoch: [49][6690/10010] Time 0.336 (0.326) Data 0.000 (0.001) Loss 1.5559 (1.7788) Prec@1 64.844 (59.489) Prec@5 82.812 (81.151) Epoch: [49][6700/10010] Time 0.338 (0.326) Data 0.000 (0.001) Loss 1.6699 (1.7790) Prec@1 59.375 (59.486) Prec@5 82.812 (81.149) Epoch: [49][6710/10010] Time 0.329 (0.326) Data 0.001 (0.001) Loss 1.9304 (1.7790) Prec@1 60.156 (59.487) Prec@5 78.906 (81.148) Epoch: [49][6720/10010] Time 0.330 (0.326) Data 0.001 (0.001) Loss 1.8868 (1.7789) Prec@1 56.250 (59.490) Prec@5 78.906 (81.149) Epoch: [49][6730/10010] Time 0.324 (0.326) Data 0.001 (0.001) Loss 1.9877 (1.7788) Prec@1 50.781 (59.492) Prec@5 79.688 (81.151) Epoch: [49][6740/10010] Time 0.312 (0.326) Data 0.001 (0.001) Loss 1.7468 (1.7788) Prec@1 62.500 (59.493) Prec@5 81.250 (81.151) Epoch: [49][6750/10010] Time 0.321 (0.326) Data 0.000 (0.001) Loss 1.9295 (1.7788) Prec@1 57.812 (59.491) Prec@5 80.469 (81.151) Epoch: [49][6760/10010] Time 0.317 (0.325) Data 0.001 (0.001) Loss 1.7986 (1.7789) Prec@1 57.031 (59.490) Prec@5 81.250 (81.149) Epoch: [49][6770/10010] Time 0.334 (0.325) Data 0.000 (0.001) Loss 1.5660 (1.7789) Prec@1 65.625 (59.492) Prec@5 85.938 (81.150) Epoch: [49][6780/10010] Time 0.318 (0.325) Data 0.000 (0.001) Loss 2.2251 (1.7791) Prec@1 54.688 (59.488) Prec@5 77.344 (81.147) Epoch: [49][6790/10010] Time 0.325 (0.325) Data 0.000 (0.001) Loss 1.9704 (1.7790) Prec@1 55.469 (59.488) Prec@5 76.562 (81.149) Epoch: [49][6800/10010] Time 0.327 (0.325) Data 0.001 (0.001) Loss 1.8230 (1.7791) Prec@1 60.938 (59.487) Prec@5 77.344 (81.148) Epoch: [49][6810/10010] Time 0.325 (0.325) Data 0.001 (0.001) Loss 1.9916 (1.7792) Prec@1 59.375 (59.486) Prec@5 78.125 (81.146) Epoch: [49][6820/10010] Time 0.334 (0.325) Data 0.001 (0.001) Loss 1.8622 (1.7793) Prec@1 57.812 (59.483) Prec@5 78.906 (81.145) Epoch: [49][6830/10010] Time 0.341 (0.325) Data 0.001 (0.001) Loss 1.6447 (1.7792) Prec@1 60.938 (59.484) Prec@5 82.031 (81.145) Epoch: [49][6840/10010] Time 0.318 (0.326) Data 0.000 (0.001) Loss 1.8481 (1.7793) Prec@1 60.156 (59.483) Prec@5 78.906 (81.143) Epoch: [49][6850/10010] Time 0.320 (0.325) Data 0.001 (0.001) Loss 1.6928 (1.7796) Prec@1 60.938 (59.477) Prec@5 88.281 (81.140) Epoch: [49][6860/10010] Time 0.317 (0.325) Data 0.001 (0.001) Loss 1.6318 (1.7796) Prec@1 63.281 (59.473) Prec@5 82.031 (81.139) Epoch: [49][6870/10010] Time 0.314 (0.325) Data 0.001 (0.001) Loss 2.0186 (1.7797) Prec@1 50.000 (59.472) Prec@5 78.906 (81.137) Epoch: [49][6880/10010] Time 0.320 (0.325) Data 0.000 (0.001) Loss 1.8435 (1.7796) Prec@1 54.688 (59.472) Prec@5 82.031 (81.141) Epoch: [49][6890/10010] Time 0.312 (0.325) Data 0.001 (0.001) Loss 1.8312 (1.7797) Prec@1 58.594 (59.470) Prec@5 80.469 (81.139) Epoch: [49][6900/10010] Time 0.325 (0.325) Data 0.000 (0.001) Loss 2.0654 (1.7798) Prec@1 60.938 (59.470) Prec@5 79.688 (81.137) Epoch: [49][6910/10010] Time 0.336 (0.325) Data 0.000 (0.001) Loss 2.0524 (1.7798) Prec@1 51.562 (59.470) Prec@5 77.344 (81.136) Epoch: [49][6920/10010] Time 0.324 (0.325) Data 0.000 (0.001) Loss 1.7281 (1.7799) Prec@1 55.469 (59.469) Prec@5 82.031 (81.136) Epoch: [49][6930/10010] Time 0.343 (0.325) Data 0.000 (0.001) Loss 1.6381 (1.7799) Prec@1 60.938 (59.468) Prec@5 81.250 (81.135) Epoch: [49][6940/10010] Time 0.337 (0.325) Data 0.001 (0.001) Loss 2.0507 (1.7799) Prec@1 50.781 (59.468) Prec@5 75.781 (81.135) Epoch: [49][6950/10010] Time 0.321 (0.325) Data 0.000 (0.001) Loss 2.1428 (1.7799) Prec@1 50.781 (59.467) Prec@5 73.438 (81.136) Epoch: [49][6960/10010] Time 0.335 (0.325) Data 0.000 (0.001) Loss 1.6447 (1.7800) Prec@1 64.844 (59.465) Prec@5 83.594 (81.135) Epoch: [49][6970/10010] Time 0.337 (0.325) Data 0.001 (0.001) Loss 1.7969 (1.7801) Prec@1 57.031 (59.464) Prec@5 79.688 (81.133) Epoch: [49][6980/10010] Time 0.332 (0.326) Data 0.001 (0.001) Loss 1.6667 (1.7800) Prec@1 57.812 (59.464) Prec@5 80.469 (81.134) Epoch: [49][6990/10010] Time 0.327 (0.326) Data 0.001 (0.001) Loss 1.9551 (1.7799) Prec@1 52.344 (59.465) Prec@5 78.125 (81.135) Epoch: [49][7000/10010] Time 0.321 (0.326) Data 0.000 (0.001) Loss 1.7489 (1.7799) Prec@1 61.719 (59.466) Prec@5 79.688 (81.135) Epoch: [49][7010/10010] Time 0.321 (0.326) Data 0.001 (0.001) Loss 1.8902 (1.7799) Prec@1 51.562 (59.466) Prec@5 78.906 (81.135) Epoch: [49][7020/10010] Time 0.314 (0.326) Data 0.001 (0.001) Loss 2.1088 (1.7800) Prec@1 50.781 (59.465) Prec@5 73.438 (81.132) Epoch: [49][7030/10010] Time 0.328 (0.326) Data 0.001 (0.001) Loss 1.6309 (1.7800) Prec@1 60.156 (59.468) Prec@5 83.594 (81.133) Epoch: [49][7040/10010] Time 0.319 (0.326) Data 0.001 (0.001) Loss 2.1702 (1.7801) Prec@1 52.344 (59.465) Prec@5 73.438 (81.130) Epoch: [49][7050/10010] Time 0.319 (0.326) Data 0.001 (0.001) Loss 1.6052 (1.7801) Prec@1 62.500 (59.462) Prec@5 85.938 (81.131) Epoch: [49][7060/10010] Time 0.320 (0.326) Data 0.000 (0.001) Loss 1.9402 (1.7801) Prec@1 57.812 (59.462) Prec@5 80.469 (81.130) Epoch: [49][7070/10010] Time 0.343 (0.326) Data 0.001 (0.001) Loss 1.7745 (1.7801) Prec@1 58.594 (59.463) Prec@5 78.906 (81.131) Epoch: [49][7080/10010] Time 0.320 (0.326) Data 0.001 (0.001) Loss 1.9631 (1.7802) Prec@1 53.125 (59.461) Prec@5 78.906 (81.132) Epoch: [49][7090/10010] Time 0.319 (0.326) Data 0.001 (0.001) Loss 1.6004 (1.7802) Prec@1 64.844 (59.460) Prec@5 83.594 (81.132) Epoch: [49][7100/10010] Time 0.322 (0.326) Data 0.001 (0.001) Loss 1.8339 (1.7802) Prec@1 53.906 (59.460) Prec@5 82.031 (81.132) Epoch: [49][7110/10010] Time 0.311 (0.326) Data 0.001 (0.001) Loss 2.2313 (1.7802) Prec@1 50.781 (59.462) Prec@5 78.125 (81.132) Epoch: [49][7120/10010] Time 0.314 (0.326) Data 0.000 (0.001) Loss 1.7294 (1.7802) Prec@1 66.406 (59.463) Prec@5 82.031 (81.132) Epoch: [49][7130/10010] Time 0.316 (0.326) Data 0.001 (0.001) Loss 1.9697 (1.7802) Prec@1 54.688 (59.460) Prec@5 76.562 (81.131) Epoch: [49][7140/10010] Time 0.314 (0.326) Data 0.001 (0.001) Loss 1.7193 (1.7802) Prec@1 61.719 (59.459) Prec@5 78.906 (81.133) Epoch: [49][7150/10010] Time 0.326 (0.326) Data 0.001 (0.001) Loss 1.7917 (1.7802) Prec@1 62.500 (59.457) Prec@5 82.812 (81.133) Epoch: [49][7160/10010] Time 0.314 (0.325) Data 0.000 (0.001) Loss 1.8605 (1.7803) Prec@1 60.156 (59.455) Prec@5 81.250 (81.131) Epoch: [49][7170/10010] Time 0.318 (0.325) Data 0.001 (0.001) Loss 1.7373 (1.7804) Prec@1 60.938 (59.455) Prec@5 82.812 (81.131) Epoch: [49][7180/10010] Time 0.317 (0.325) Data 0.001 (0.001) Loss 1.4120 (1.7801) Prec@1 67.188 (59.456) Prec@5 85.938 (81.135) Epoch: [49][7190/10010] Time 0.319 (0.325) Data 0.001 (0.001) Loss 1.8535 (1.7801) Prec@1 55.469 (59.454) Prec@5 85.938 (81.138) Epoch: [49][7200/10010] Time 0.330 (0.325) Data 0.001 (0.001) Loss 1.4596 (1.7800) Prec@1 64.062 (59.454) Prec@5 85.156 (81.138) Epoch: [49][7210/10010] Time 0.337 (0.325) Data 0.000 (0.001) Loss 1.6629 (1.7801) Prec@1 63.281 (59.454) Prec@5 81.250 (81.136) Epoch: [49][7220/10010] Time 0.323 (0.325) Data 0.001 (0.001) Loss 2.2531 (1.7800) Prec@1 50.000 (59.455) Prec@5 77.344 (81.137) Epoch: [49][7230/10010] Time 0.318 (0.325) Data 0.001 (0.001) Loss 1.8741 (1.7800) Prec@1 58.594 (59.453) Prec@5 80.469 (81.136) Epoch: [49][7240/10010] Time 0.318 (0.325) Data 0.000 (0.001) Loss 1.5943 (1.7800) Prec@1 63.281 (59.453) Prec@5 85.938 (81.136) Epoch: [49][7250/10010] Time 0.320 (0.325) Data 0.001 (0.001) Loss 1.8303 (1.7802) Prec@1 59.375 (59.449) Prec@5 79.688 (81.132) Epoch: [49][7260/10010] Time 0.328 (0.325) Data 0.000 (0.001) Loss 1.8064 (1.7803) Prec@1 57.812 (59.445) Prec@5 81.250 (81.131) Epoch: [49][7270/10010] Time 0.336 (0.325) Data 0.000 (0.001) Loss 1.5885 (1.7803) Prec@1 63.281 (59.446) Prec@5 85.938 (81.132) Epoch: [49][7280/10010] Time 0.330 (0.325) Data 0.001 (0.001) Loss 1.7099 (1.7801) Prec@1 57.812 (59.448) Prec@5 80.469 (81.135) Epoch: [49][7290/10010] Time 0.336 (0.325) Data 0.000 (0.001) Loss 1.7803 (1.7801) Prec@1 54.688 (59.446) Prec@5 85.156 (81.136) Epoch: [49][7300/10010] Time 0.340 (0.325) Data 0.000 (0.001) Loss 2.0304 (1.7800) Prec@1 53.125 (59.448) Prec@5 77.344 (81.139) Epoch: [49][7310/10010] Time 0.317 (0.325) Data 0.001 (0.001) Loss 1.8650 (1.7799) Prec@1 64.844 (59.451) Prec@5 80.469 (81.141) Epoch: [49][7320/10010] Time 0.325 (0.325) Data 0.000 (0.001) Loss 1.6995 (1.7800) Prec@1 61.719 (59.449) Prec@5 82.812 (81.140) Epoch: [49][7330/10010] Time 0.316 (0.325) Data 0.001 (0.001) Loss 1.8658 (1.7799) Prec@1 57.812 (59.449) Prec@5 80.469 (81.142) Epoch: [49][7340/10010] Time 0.319 (0.325) Data 0.000 (0.001) Loss 1.7599 (1.7798) Prec@1 64.062 (59.452) Prec@5 81.250 (81.143) Epoch: [49][7350/10010] Time 0.313 (0.325) Data 0.001 (0.001) Loss 1.6392 (1.7798) Prec@1 60.156 (59.453) Prec@5 83.594 (81.143) Epoch: [49][7360/10010] Time 0.319 (0.325) Data 0.000 (0.001) Loss 1.7346 (1.7800) Prec@1 60.938 (59.451) Prec@5 81.250 (81.140) Epoch: [49][7370/10010] Time 0.322 (0.325) Data 0.000 (0.001) Loss 1.9899 (1.7800) Prec@1 58.594 (59.452) Prec@5 75.000 (81.140) Epoch: [49][7380/10010] Time 0.317 (0.325) Data 0.001 (0.001) Loss 1.7296 (1.7800) Prec@1 58.594 (59.450) Prec@5 85.156 (81.140) Epoch: [49][7390/10010] Time 0.323 (0.325) Data 0.000 (0.001) Loss 1.8042 (1.7800) Prec@1 57.031 (59.447) Prec@5 78.125 (81.139) Epoch: [49][7400/10010] Time 0.318 (0.325) Data 0.001 (0.001) Loss 1.9869 (1.7801) Prec@1 56.250 (59.447) Prec@5 78.906 (81.137) Epoch: [49][7410/10010] Time 0.338 (0.325) Data 0.000 (0.001) Loss 1.4152 (1.7802) Prec@1 68.750 (59.447) Prec@5 86.719 (81.138) Epoch: [49][7420/10010] Time 0.322 (0.325) Data 0.001 (0.001) Loss 1.7954 (1.7801) Prec@1 59.375 (59.448) Prec@5 80.469 (81.139) Epoch: [49][7430/10010] Time 0.329 (0.325) Data 0.000 (0.001) Loss 1.6765 (1.7801) Prec@1 58.594 (59.448) Prec@5 82.031 (81.140) Epoch: [49][7440/10010] Time 0.338 (0.325) Data 0.000 (0.001) Loss 1.7654 (1.7801) Prec@1 60.156 (59.450) Prec@5 84.375 (81.141) Epoch: [49][7450/10010] Time 0.330 (0.325) Data 0.001 (0.001) Loss 1.6712 (1.7801) Prec@1 55.469 (59.450) Prec@5 84.375 (81.140) Epoch: [49][7460/10010] Time 0.318 (0.325) Data 0.001 (0.001) Loss 2.0439 (1.7801) Prec@1 56.250 (59.449) Prec@5 78.906 (81.141) Epoch: [49][7470/10010] Time 0.322 (0.325) Data 0.000 (0.001) Loss 1.8440 (1.7801) Prec@1 61.719 (59.449) Prec@5 78.906 (81.141) Epoch: [49][7480/10010] Time 0.319 (0.325) Data 0.001 (0.001) Loss 1.5029 (1.7800) Prec@1 64.844 (59.448) Prec@5 85.938 (81.143) Epoch: [49][7490/10010] Time 0.342 (0.325) Data 0.000 (0.001) Loss 1.6964 (1.7800) Prec@1 60.156 (59.447) Prec@5 82.812 (81.143) Epoch: [49][7500/10010] Time 0.327 (0.325) Data 0.000 (0.001) Loss 1.9412 (1.7801) Prec@1 60.938 (59.448) Prec@5 78.906 (81.142) Epoch: [49][7510/10010] Time 0.317 (0.325) Data 0.000 (0.001) Loss 1.9012 (1.7802) Prec@1 65.625 (59.447) Prec@5 81.250 (81.141) Epoch: [49][7520/10010] Time 0.333 (0.325) Data 0.001 (0.001) Loss 1.9780 (1.7803) Prec@1 56.250 (59.446) Prec@5 79.688 (81.139) Epoch: [49][7530/10010] Time 0.341 (0.325) Data 0.000 (0.001) Loss 1.6087 (1.7803) Prec@1 59.375 (59.446) Prec@5 85.156 (81.138) Epoch: [49][7540/10010] Time 0.322 (0.325) Data 0.000 (0.001) Loss 2.1329 (1.7805) Prec@1 54.688 (59.446) Prec@5 76.562 (81.138) Epoch: [49][7550/10010] Time 0.321 (0.325) Data 0.001 (0.001) Loss 1.9473 (1.7805) Prec@1 56.250 (59.445) Prec@5 77.344 (81.137) Epoch: [49][7560/10010] Time 0.333 (0.325) Data 0.001 (0.001) Loss 2.0708 (1.7805) Prec@1 53.906 (59.444) Prec@5 74.219 (81.137) Epoch: [49][7570/10010] Time 0.340 (0.325) Data 0.001 (0.001) Loss 1.6066 (1.7805) Prec@1 61.719 (59.444) Prec@5 84.375 (81.135) Epoch: [49][7580/10010] Time 0.313 (0.325) Data 0.001 (0.001) Loss 1.5654 (1.7806) Prec@1 57.031 (59.441) Prec@5 86.719 (81.135) Epoch: [49][7590/10010] Time 0.322 (0.325) Data 0.000 (0.001) Loss 1.6421 (1.7807) Prec@1 62.500 (59.439) Prec@5 83.594 (81.134) Epoch: [49][7600/10010] Time 0.315 (0.325) Data 0.000 (0.001) Loss 1.7269 (1.7807) Prec@1 55.469 (59.440) Prec@5 80.469 (81.134) Epoch: [49][7610/10010] Time 0.315 (0.325) Data 0.001 (0.001) Loss 1.9063 (1.7807) Prec@1 59.375 (59.439) Prec@5 78.125 (81.134) Epoch: [49][7620/10010] Time 0.325 (0.325) Data 0.000 (0.001) Loss 1.6797 (1.7807) Prec@1 65.625 (59.442) Prec@5 81.250 (81.134) Epoch: [49][7630/10010] Time 0.324 (0.325) Data 0.001 (0.001) Loss 2.1336 (1.7807) Prec@1 51.562 (59.439) Prec@5 74.219 (81.132) Epoch: [49][7640/10010] Time 0.331 (0.325) Data 0.001 (0.001) Loss 1.7765 (1.7808) Prec@1 57.812 (59.438) Prec@5 81.250 (81.130) Epoch: [49][7650/10010] Time 0.336 (0.325) Data 0.000 (0.001) Loss 1.9130 (1.7807) Prec@1 56.250 (59.439) Prec@5 77.344 (81.130) Epoch: [49][7660/10010] Time 0.335 (0.325) Data 0.001 (0.001) Loss 1.7076 (1.7807) Prec@1 64.062 (59.440) Prec@5 80.469 (81.131) Epoch: [49][7670/10010] Time 0.330 (0.325) Data 0.001 (0.001) Loss 2.0137 (1.7809) Prec@1 56.250 (59.438) Prec@5 78.906 (81.128) Epoch: [49][7680/10010] Time 0.334 (0.325) Data 0.001 (0.001) Loss 1.6760 (1.7808) Prec@1 62.500 (59.441) Prec@5 82.031 (81.128) Epoch: [49][7690/10010] Time 0.318 (0.325) Data 0.000 (0.001) Loss 1.7842 (1.7810) Prec@1 60.156 (59.440) Prec@5 82.812 (81.129) Epoch: [49][7700/10010] Time 0.326 (0.325) Data 0.001 (0.001) Loss 1.8609 (1.7811) Prec@1 55.469 (59.437) Prec@5 80.469 (81.126) Epoch: [49][7710/10010] Time 0.341 (0.325) Data 0.001 (0.001) Loss 1.8284 (1.7812) Prec@1 57.031 (59.436) Prec@5 80.469 (81.126) Epoch: [49][7720/10010] Time 0.342 (0.325) Data 0.000 (0.001) Loss 1.5354 (1.7813) Prec@1 64.062 (59.434) Prec@5 82.812 (81.125) Epoch: [49][7730/10010] Time 0.321 (0.325) Data 0.001 (0.001) Loss 2.0477 (1.7815) Prec@1 53.125 (59.431) Prec@5 79.688 (81.123) Epoch: [49][7740/10010] Time 0.328 (0.325) Data 0.001 (0.001) Loss 1.5875 (1.7815) Prec@1 57.812 (59.430) Prec@5 82.812 (81.123) Epoch: [49][7750/10010] Time 0.335 (0.325) Data 0.001 (0.001) Loss 1.2649 (1.7815) Prec@1 64.844 (59.429) Prec@5 89.062 (81.123) Epoch: [49][7760/10010] Time 0.337 (0.325) Data 0.000 (0.001) Loss 1.7376 (1.7815) Prec@1 58.594 (59.430) Prec@5 85.156 (81.124) Epoch: [49][7770/10010] Time 0.305 (0.325) Data 0.001 (0.001) Loss 1.8449 (1.7814) Prec@1 61.719 (59.432) Prec@5 81.250 (81.124) Epoch: [49][7780/10010] Time 0.334 (0.325) Data 0.001 (0.001) Loss 1.7271 (1.7814) Prec@1 60.938 (59.431) Prec@5 82.812 (81.124) Epoch: [49][7790/10010] Time 0.334 (0.325) Data 0.001 (0.001) Loss 1.8046 (1.7814) Prec@1 60.938 (59.430) Prec@5 83.594 (81.125) Epoch: [49][7800/10010] Time 0.327 (0.326) Data 0.000 (0.001) Loss 2.1150 (1.7815) Prec@1 56.250 (59.429) Prec@5 78.125 (81.125) Epoch: [49][7810/10010] Time 0.329 (0.325) Data 0.001 (0.001) Loss 1.8804 (1.7815) Prec@1 56.250 (59.429) Prec@5 81.250 (81.125) Epoch: [49][7820/10010] Time 0.335 (0.325) Data 0.000 (0.001) Loss 1.9813 (1.7814) Prec@1 58.594 (59.431) Prec@5 80.469 (81.125) Epoch: [49][7830/10010] Time 0.318 (0.325) Data 0.000 (0.001) Loss 1.9290 (1.7815) Prec@1 57.031 (59.430) Prec@5 81.250 (81.124) Epoch: [49][7840/10010] Time 0.324 (0.325) Data 0.001 (0.001) Loss 1.7524 (1.7815) Prec@1 59.375 (59.430) Prec@5 80.469 (81.124) Epoch: [49][7850/10010] Time 0.319 (0.325) Data 0.001 (0.001) Loss 2.0282 (1.7815) Prec@1 52.344 (59.431) Prec@5 77.344 (81.124) Epoch: [49][7860/10010] Time 0.340 (0.325) Data 0.001 (0.001) Loss 1.8709 (1.7816) Prec@1 60.938 (59.429) Prec@5 81.250 (81.123) Epoch: [49][7870/10010] Time 0.319 (0.325) Data 0.001 (0.001) Loss 1.9191 (1.7816) Prec@1 60.156 (59.429) Prec@5 80.469 (81.125) Epoch: [49][7880/10010] Time 0.338 (0.325) Data 0.001 (0.001) Loss 1.5929 (1.7815) Prec@1 64.062 (59.431) Prec@5 82.812 (81.126) Epoch: [49][7890/10010] Time 0.327 (0.325) Data 0.001 (0.001) Loss 2.0789 (1.7816) Prec@1 54.688 (59.432) Prec@5 77.344 (81.127) Epoch: [49][7900/10010] Time 0.323 (0.325) Data 0.000 (0.001) Loss 1.5107 (1.7815) Prec@1 66.406 (59.433) Prec@5 87.500 (81.129) Epoch: [49][7910/10010] Time 0.338 (0.325) Data 0.001 (0.001) Loss 1.7345 (1.7815) Prec@1 64.062 (59.433) Prec@5 82.031 (81.129) Epoch: [49][7920/10010] Time 0.316 (0.325) Data 0.000 (0.001) Loss 1.9526 (1.7815) Prec@1 53.125 (59.430) Prec@5 78.906 (81.130) Epoch: [49][7930/10010] Time 0.333 (0.325) Data 0.001 (0.001) Loss 1.9397 (1.7815) Prec@1 52.344 (59.429) Prec@5 78.125 (81.129) Epoch: [49][7940/10010] Time 0.327 (0.326) Data 0.000 (0.001) Loss 1.6753 (1.7816) Prec@1 60.156 (59.427) Prec@5 85.156 (81.128) Epoch: [49][7950/10010] Time 0.311 (0.326) Data 0.001 (0.001) Loss 1.5734 (1.7816) Prec@1 60.938 (59.427) Prec@5 85.938 (81.129) Epoch: [49][7960/10010] Time 0.319 (0.326) Data 0.000 (0.001) Loss 1.8115 (1.7817) Prec@1 63.281 (59.425) Prec@5 80.469 (81.127) Epoch: [49][7970/10010] Time 0.323 (0.325) Data 0.001 (0.001) Loss 1.8111 (1.7818) Prec@1 56.250 (59.423) Prec@5 82.812 (81.128) Epoch: [49][7980/10010] Time 0.335 (0.325) Data 0.001 (0.001) Loss 2.0008 (1.7819) Prec@1 55.469 (59.421) Prec@5 78.906 (81.126) Epoch: [49][7990/10010] Time 0.328 (0.325) Data 0.001 (0.001) Loss 1.8392 (1.7819) Prec@1 61.719 (59.423) Prec@5 80.469 (81.126) Epoch: [49][8000/10010] Time 0.315 (0.325) Data 0.001 (0.001) Loss 1.6273 (1.7819) Prec@1 67.188 (59.425) Prec@5 84.375 (81.126) Epoch: [49][8010/10010] Time 0.335 (0.325) Data 0.001 (0.001) Loss 1.9899 (1.7819) Prec@1 51.562 (59.425) Prec@5 75.000 (81.127) Epoch: [49][8020/10010] Time 0.325 (0.325) Data 0.001 (0.001) Loss 2.0760 (1.7819) Prec@1 56.250 (59.426) Prec@5 76.562 (81.127) Epoch: [49][8030/10010] Time 0.335 (0.326) Data 0.000 (0.001) Loss 1.8341 (1.7820) Prec@1 57.031 (59.424) Prec@5 82.031 (81.127) Epoch: [49][8040/10010] Time 0.337 (0.326) Data 0.001 (0.001) Loss 1.4442 (1.7819) Prec@1 64.844 (59.425) Prec@5 84.375 (81.128) Epoch: [49][8050/10010] Time 0.341 (0.326) Data 0.001 (0.001) Loss 1.8619 (1.7820) Prec@1 59.375 (59.425) Prec@5 81.250 (81.128) Epoch: [49][8060/10010] Time 0.329 (0.326) Data 0.000 (0.001) Loss 1.9624 (1.7820) Prec@1 57.812 (59.426) Prec@5 78.906 (81.128) Epoch: [49][8070/10010] Time 0.318 (0.326) Data 0.001 (0.001) Loss 1.7325 (1.7820) Prec@1 60.156 (59.426) Prec@5 82.031 (81.127) Epoch: [49][8080/10010] Time 0.338 (0.326) Data 0.001 (0.001) Loss 1.5711 (1.7819) Prec@1 64.844 (59.429) Prec@5 84.375 (81.128) Epoch: [49][8090/10010] Time 0.324 (0.326) Data 0.001 (0.001) Loss 1.9367 (1.7820) Prec@1 51.562 (59.427) Prec@5 78.906 (81.127) Epoch: [49][8100/10010] Time 0.319 (0.326) Data 0.001 (0.001) Loss 1.5971 (1.7820) Prec@1 60.938 (59.429) Prec@5 82.812 (81.127) Epoch: [49][8110/10010] Time 0.322 (0.326) Data 0.001 (0.001) Loss 1.6285 (1.7821) Prec@1 62.500 (59.426) Prec@5 82.812 (81.125) Epoch: [49][8120/10010] Time 0.313 (0.325) Data 0.001 (0.001) Loss 2.2913 (1.7821) Prec@1 53.906 (59.426) Prec@5 72.656 (81.125) Epoch: [49][8130/10010] Time 0.322 (0.325) Data 0.000 (0.001) Loss 1.7110 (1.7821) Prec@1 54.688 (59.426) Prec@5 78.906 (81.124) Epoch: [49][8140/10010] Time 0.327 (0.325) Data 0.001 (0.001) Loss 1.8878 (1.7822) Prec@1 56.250 (59.424) Prec@5 78.906 (81.124) Epoch: [49][8150/10010] Time 0.330 (0.326) Data 0.001 (0.001) Loss 2.0321 (1.7822) Prec@1 59.375 (59.425) Prec@5 75.781 (81.123) Epoch: [49][8160/10010] Time 0.334 (0.326) Data 0.001 (0.001) Loss 1.7233 (1.7823) Prec@1 56.250 (59.421) Prec@5 80.469 (81.120) Epoch: [49][8170/10010] Time 0.334 (0.326) Data 0.001 (0.001) Loss 1.9609 (1.7824) Prec@1 59.375 (59.421) Prec@5 81.250 (81.119) Epoch: [49][8180/10010] Time 0.321 (0.326) Data 0.001 (0.001) Loss 1.8264 (1.7824) Prec@1 60.156 (59.421) Prec@5 80.469 (81.118) Epoch: [49][8190/10010] Time 0.340 (0.326) Data 0.001 (0.001) Loss 1.7215 (1.7824) Prec@1 59.375 (59.422) Prec@5 82.031 (81.117) Epoch: [49][8200/10010] Time 0.318 (0.326) Data 0.001 (0.001) Loss 1.8478 (1.7824) Prec@1 55.469 (59.423) Prec@5 80.469 (81.115) Epoch: [49][8210/10010] Time 0.327 (0.326) Data 0.001 (0.001) Loss 1.6869 (1.7826) Prec@1 60.938 (59.420) Prec@5 82.031 (81.112) Epoch: [49][8220/10010] Time 0.330 (0.326) Data 0.001 (0.001) Loss 1.7914 (1.7826) Prec@1 61.719 (59.421) Prec@5 83.594 (81.112) Epoch: [49][8230/10010] Time 0.333 (0.326) Data 0.001 (0.001) Loss 1.7709 (1.7826) Prec@1 60.938 (59.421) Prec@5 81.250 (81.112) Epoch: [49][8240/10010] Time 0.315 (0.326) Data 0.001 (0.001) Loss 1.5814 (1.7825) Prec@1 67.188 (59.422) Prec@5 85.938 (81.114) Epoch: [49][8250/10010] Time 0.316 (0.326) Data 0.000 (0.001) Loss 1.7405 (1.7825) Prec@1 57.812 (59.421) Prec@5 82.812 (81.114) Epoch: [49][8260/10010] Time 0.334 (0.326) Data 0.001 (0.001) Loss 1.8898 (1.7826) Prec@1 53.906 (59.419) Prec@5 78.125 (81.110) Epoch: [49][8270/10010] Time 0.334 (0.326) Data 0.001 (0.001) Loss 1.8374 (1.7826) Prec@1 53.906 (59.418) Prec@5 81.250 (81.111) Epoch: [49][8280/10010] Time 0.325 (0.326) Data 0.000 (0.001) Loss 1.7062 (1.7827) Prec@1 60.938 (59.417) Prec@5 85.938 (81.109) Epoch: [49][8290/10010] Time 0.338 (0.326) Data 0.000 (0.001) Loss 1.5128 (1.7827) Prec@1 62.500 (59.416) Prec@5 86.719 (81.110) Epoch: [49][8300/10010] Time 0.313 (0.326) Data 0.001 (0.001) Loss 1.6608 (1.7826) Prec@1 66.406 (59.419) Prec@5 80.469 (81.111) Epoch: [49][8310/10010] Time 0.316 (0.326) Data 0.001 (0.001) Loss 1.7080 (1.7826) Prec@1 56.250 (59.421) Prec@5 84.375 (81.111) Epoch: [49][8320/10010] Time 0.333 (0.326) Data 0.000 (0.001) Loss 2.0787 (1.7826) Prec@1 57.812 (59.420) Prec@5 72.656 (81.110) Epoch: [49][8330/10010] Time 0.330 (0.326) Data 0.001 (0.001) Loss 1.5217 (1.7827) Prec@1 67.969 (59.420) Prec@5 87.500 (81.109) Epoch: [49][8340/10010] Time 0.327 (0.326) Data 0.001 (0.001) Loss 1.8649 (1.7826) Prec@1 57.812 (59.421) Prec@5 75.781 (81.110) Epoch: [49][8350/10010] Time 0.336 (0.326) Data 0.001 (0.001) Loss 1.5903 (1.7826) Prec@1 58.594 (59.420) Prec@5 84.375 (81.109) Epoch: [49][8360/10010] Time 0.315 (0.326) Data 0.001 (0.001) Loss 1.5519 (1.7827) Prec@1 64.062 (59.419) Prec@5 84.375 (81.108) Epoch: [49][8370/10010] Time 0.327 (0.326) Data 0.000 (0.001) Loss 1.8515 (1.7827) Prec@1 52.344 (59.418) Prec@5 79.688 (81.107) Epoch: [49][8380/10010] Time 0.332 (0.326) Data 0.001 (0.001) Loss 1.4064 (1.7827) Prec@1 61.719 (59.420) Prec@5 89.062 (81.108) Epoch: [49][8390/10010] Time 0.320 (0.326) Data 0.001 (0.001) Loss 1.7309 (1.7827) Prec@1 60.938 (59.421) Prec@5 79.688 (81.108) Epoch: [49][8400/10010] Time 0.315 (0.326) Data 0.001 (0.001) Loss 1.8934 (1.7827) Prec@1 60.156 (59.420) Prec@5 76.562 (81.107) Epoch: [49][8410/10010] Time 0.320 (0.326) Data 0.000 (0.001) Loss 1.7695 (1.7828) Prec@1 58.594 (59.420) Prec@5 82.812 (81.107) Epoch: [49][8420/10010] Time 0.331 (0.326) Data 0.001 (0.001) Loss 1.9599 (1.7828) Prec@1 56.250 (59.420) Prec@5 77.344 (81.107) Epoch: [49][8430/10010] Time 0.323 (0.326) Data 0.001 (0.001) Loss 1.6949 (1.7829) Prec@1 57.031 (59.419) Prec@5 85.156 (81.106) Epoch: [49][8440/10010] Time 0.322 (0.326) Data 0.001 (0.001) Loss 1.7530 (1.7828) Prec@1 54.688 (59.420) Prec@5 82.031 (81.107) Epoch: [49][8450/10010] Time 0.335 (0.326) Data 0.001 (0.001) Loss 1.6754 (1.7829) Prec@1 60.156 (59.419) Prec@5 82.812 (81.107) Epoch: [49][8460/10010] Time 0.339 (0.326) Data 0.000 (0.001) Loss 1.9670 (1.7830) Prec@1 60.156 (59.416) Prec@5 78.906 (81.106) Epoch: [49][8470/10010] Time 0.326 (0.326) Data 0.000 (0.001) Loss 1.9263 (1.7831) Prec@1 53.125 (59.415) Prec@5 83.594 (81.105) Epoch: [49][8480/10010] Time 0.340 (0.326) Data 0.001 (0.001) Loss 1.7012 (1.7830) Prec@1 62.500 (59.415) Prec@5 83.594 (81.106) Epoch: [49][8490/10010] Time 0.322 (0.326) Data 0.001 (0.001) Loss 2.4043 (1.7830) Prec@1 49.219 (59.416) Prec@5 74.219 (81.107) Epoch: [49][8500/10010] Time 0.328 (0.326) Data 0.000 (0.001) Loss 1.8861 (1.7829) Prec@1 61.719 (59.420) Prec@5 81.250 (81.108) Epoch: [49][8510/10010] Time 0.328 (0.326) Data 0.001 (0.001) Loss 1.5994 (1.7828) Prec@1 67.188 (59.419) Prec@5 80.469 (81.109) Epoch: [49][8520/10010] Time 0.317 (0.326) Data 0.001 (0.001) Loss 1.4422 (1.7828) Prec@1 65.625 (59.419) Prec@5 82.031 (81.107) Epoch: [49][8530/10010] Time 0.333 (0.326) Data 0.001 (0.001) Loss 1.8467 (1.7829) Prec@1 60.938 (59.419) Prec@5 79.688 (81.105) Epoch: [49][8540/10010] Time 0.323 (0.326) Data 0.001 (0.001) Loss 1.7626 (1.7829) Prec@1 59.375 (59.420) Prec@5 83.594 (81.105) Epoch: [49][8550/10010] Time 0.341 (0.326) Data 0.000 (0.001) Loss 1.6409 (1.7829) Prec@1 65.625 (59.421) Prec@5 85.938 (81.105) Epoch: [49][8560/10010] Time 0.324 (0.326) Data 0.001 (0.001) Loss 1.7149 (1.7829) Prec@1 62.500 (59.418) Prec@5 85.156 (81.104) Epoch: [49][8570/10010] Time 0.324 (0.326) Data 0.001 (0.001) Loss 1.4392 (1.7830) Prec@1 66.406 (59.415) Prec@5 87.500 (81.102) Epoch: [49][8580/10010] Time 0.320 (0.326) Data 0.001 (0.001) Loss 1.8808 (1.7831) Prec@1 56.250 (59.413) Prec@5 78.906 (81.101) Epoch: [49][8590/10010] Time 0.339 (0.326) Data 0.000 (0.001) Loss 1.7807 (1.7831) Prec@1 57.031 (59.413) Prec@5 81.250 (81.101) Epoch: [49][8600/10010] Time 0.313 (0.326) Data 0.001 (0.001) Loss 2.1545 (1.7831) Prec@1 52.344 (59.411) Prec@5 73.438 (81.102) Epoch: [49][8610/10010] Time 0.341 (0.326) Data 0.001 (0.001) Loss 1.7514 (1.7831) Prec@1 59.375 (59.412) Prec@5 82.812 (81.102) Epoch: [49][8620/10010] Time 0.313 (0.326) Data 0.000 (0.001) Loss 2.0524 (1.7831) Prec@1 57.812 (59.409) Prec@5 78.125 (81.102) Epoch: [49][8630/10010] Time 0.320 (0.326) Data 0.001 (0.001) Loss 1.5815 (1.7831) Prec@1 67.969 (59.408) Prec@5 81.250 (81.103) Epoch: [49][8640/10010] Time 0.337 (0.326) Data 0.001 (0.001) Loss 1.8578 (1.7833) Prec@1 58.594 (59.406) Prec@5 79.688 (81.100) Epoch: [49][8650/10010] Time 0.314 (0.326) Data 0.000 (0.001) Loss 2.0209 (1.7833) Prec@1 53.125 (59.404) Prec@5 77.344 (81.099) Epoch: [49][8660/10010] Time 0.318 (0.326) Data 0.001 (0.001) Loss 1.6758 (1.7834) Prec@1 58.594 (59.402) Prec@5 82.031 (81.097) Epoch: [49][8670/10010] Time 0.332 (0.326) Data 0.001 (0.001) Loss 1.9603 (1.7835) Prec@1 51.562 (59.400) Prec@5 80.469 (81.095) Epoch: [49][8680/10010] Time 0.324 (0.326) Data 0.000 (0.001) Loss 1.9580 (1.7836) Prec@1 55.469 (59.398) Prec@5 81.250 (81.095) Epoch: [49][8690/10010] Time 0.321 (0.326) Data 0.001 (0.001) Loss 1.9072 (1.7836) Prec@1 55.469 (59.398) Prec@5 82.031 (81.094) Epoch: [49][8700/10010] Time 0.336 (0.326) Data 0.000 (0.001) Loss 1.4925 (1.7836) Prec@1 64.062 (59.398) Prec@5 86.719 (81.094) Epoch: [49][8710/10010] Time 0.318 (0.326) Data 0.001 (0.001) Loss 2.0724 (1.7836) Prec@1 53.906 (59.400) Prec@5 76.562 (81.096) Epoch: [49][8720/10010] Time 0.327 (0.326) Data 0.001 (0.001) Loss 1.8221 (1.7836) Prec@1 60.156 (59.399) Prec@5 80.469 (81.095) Epoch: [49][8730/10010] Time 0.319 (0.326) Data 0.001 (0.001) Loss 1.6215 (1.7835) Prec@1 60.938 (59.400) Prec@5 85.938 (81.097) Epoch: [49][8740/10010] Time 0.336 (0.326) Data 0.000 (0.001) Loss 1.7257 (1.7834) Prec@1 60.938 (59.401) Prec@5 79.688 (81.099) Epoch: [49][8750/10010] Time 0.337 (0.326) Data 0.001 (0.001) Loss 1.5081 (1.7834) Prec@1 67.969 (59.401) Prec@5 82.812 (81.099) Epoch: [49][8760/10010] Time 0.324 (0.326) Data 0.001 (0.001) Loss 1.8938 (1.7833) Prec@1 57.031 (59.403) Prec@5 79.688 (81.099) Epoch: [49][8770/10010] Time 0.324 (0.326) Data 0.000 (0.001) Loss 1.6852 (1.7832) Prec@1 60.156 (59.406) Prec@5 80.469 (81.100) Epoch: [49][8780/10010] Time 0.326 (0.326) Data 0.001 (0.001) Loss 2.0404 (1.7832) Prec@1 51.562 (59.404) Prec@5 78.125 (81.099) Epoch: [49][8790/10010] Time 0.324 (0.326) Data 0.000 (0.001) Loss 1.8325 (1.7832) Prec@1 64.062 (59.404) Prec@5 79.688 (81.099) Epoch: [49][8800/10010] Time 0.342 (0.326) Data 0.001 (0.001) Loss 1.7365 (1.7832) Prec@1 61.719 (59.404) Prec@5 80.469 (81.100) Epoch: [49][8810/10010] Time 0.339 (0.326) Data 0.001 (0.001) Loss 1.8191 (1.7833) Prec@1 57.031 (59.402) Prec@5 78.125 (81.098) Epoch: [49][8820/10010] Time 0.318 (0.326) Data 0.000 (0.001) Loss 1.8103 (1.7832) Prec@1 55.469 (59.402) Prec@5 83.594 (81.100) Epoch: [49][8830/10010] Time 0.321 (0.326) Data 0.001 (0.001) Loss 1.6986 (1.7832) Prec@1 64.062 (59.403) Prec@5 84.375 (81.100) Epoch: [49][8840/10010] Time 0.332 (0.326) Data 0.001 (0.001) Loss 1.7217 (1.7832) Prec@1 59.375 (59.405) Prec@5 82.031 (81.100) Epoch: [49][8850/10010] Time 0.319 (0.326) Data 0.001 (0.001) Loss 1.6928 (1.7831) Prec@1 62.500 (59.406) Prec@5 81.250 (81.101) Epoch: [49][8860/10010] Time 0.337 (0.326) Data 0.001 (0.001) Loss 1.8090 (1.7830) Prec@1 53.906 (59.406) Prec@5 77.344 (81.100) /data/vision/torralba/deepscene/lib/anaconda2/lib/python2.7/site-packages/PIL/TiffImagePlugin.py:692: UserWarning: Possibly corrupt EXIF data. Expecting to read 19660800 bytes but only got 0. Skipping tag 0 "Skipping tag %s" % (size, len(data), tag)) /data/vision/torralba/deepscene/lib/anaconda2/lib/python2.7/site-packages/PIL/TiffImagePlugin.py:692: UserWarning: Possibly corrupt EXIF data. Expecting to read 18481152 bytes but only got 0. Skipping tag 0 "Skipping tag %s" % (size, len(data), tag)) /data/vision/torralba/deepscene/lib/anaconda2/lib/python2.7/site-packages/PIL/TiffImagePlugin.py:692: UserWarning: Possibly corrupt EXIF data. Expecting to read 37093376 bytes but only got 0. Skipping tag 0 "Skipping tag %s" % (size, len(data), tag)) /data/vision/torralba/deepscene/lib/anaconda2/lib/python2.7/site-packages/PIL/TiffImagePlugin.py:692: UserWarning: Possibly corrupt EXIF data. Expecting to read 39976960 bytes but only got 0. Skipping tag 0 "Skipping tag %s" % (size, len(data), tag)) /data/vision/torralba/deepscene/lib/anaconda2/lib/python2.7/site-packages/PIL/TiffImagePlugin.py:692: UserWarning: Possibly corrupt EXIF data. Expecting to read 34865152 bytes but only got 0. Skipping tag 0 "Skipping tag %s" % (size, len(data), tag)) /data/vision/torralba/deepscene/lib/anaconda2/lib/python2.7/site-packages/PIL/TiffImagePlugin.py:709: UserWarning: Corrupt EXIF data. Expecting to read 12 bytes but only got 10. warnings.warn(str(msg)) Epoch: [49][8870/10010] Time 0.317 (0.326) Data 0.001 (0.001) Loss 1.8331 (1.7831) Prec@1 59.375 (59.407) Prec@5 82.812 (81.099) Epoch: [49][8880/10010] Time 0.331 (0.326) Data 0.001 (0.001) Loss 1.6488 (1.7831) Prec@1 58.594 (59.405) Prec@5 83.594 (81.097) Epoch: [49][8890/10010] Time 0.317 (0.326) Data 0.000 (0.001) Loss 1.7220 (1.7832) Prec@1 60.156 (59.404) Prec@5 79.688 (81.096) Epoch: [49][8900/10010] Time 0.331 (0.326) Data 0.001 (0.001) Loss 1.6614 (1.7833) Prec@1 60.938 (59.402) Prec@5 83.594 (81.096) Epoch: [49][8910/10010] Time 0.320 (0.326) Data 0.001 (0.001) Loss 1.7021 (1.7832) Prec@1 64.062 (59.404) Prec@5 82.812 (81.097) Epoch: [49][8920/10010] Time 0.319 (0.326) Data 0.001 (0.001) Loss 2.2908 (1.7833) Prec@1 50.000 (59.402) Prec@5 75.000 (81.095) Epoch: [49][8930/10010] Time 0.313 (0.326) Data 0.000 (0.001) Loss 1.4663 (1.7832) Prec@1 67.969 (59.403) Prec@5 86.719 (81.098) Epoch: [49][8940/10010] Time 0.329 (0.326) Data 0.001 (0.001) Loss 1.9106 (1.7832) Prec@1 55.469 (59.402) Prec@5 81.250 (81.099) Epoch: [49][8950/10010] Time 0.338 (0.326) Data 0.001 (0.001) Loss 1.8951 (1.7832) Prec@1 60.156 (59.401) Prec@5 79.688 (81.099) Epoch: [49][8960/10010] Time 0.321 (0.326) Data 0.001 (0.001) Loss 2.1818 (1.7832) Prec@1 50.781 (59.398) Prec@5 78.906 (81.099) Epoch: [49][8970/10010] Time 0.324 (0.326) Data 0.001 (0.001) Loss 1.9997 (1.7832) Prec@1 54.688 (59.397) Prec@5 77.344 (81.099) Epoch: [49][8980/10010] Time 0.324 (0.326) Data 0.000 (0.001) Loss 1.8052 (1.7832) Prec@1 60.156 (59.398) Prec@5 82.812 (81.101) Epoch: [49][8990/10010] Time 0.316 (0.326) Data 0.001 (0.001) Loss 1.7453 (1.7831) Prec@1 61.719 (59.397) Prec@5 79.688 (81.103) Epoch: [49][9000/10010] Time 0.332 (0.326) Data 0.001 (0.001) Loss 1.7146 (1.7832) Prec@1 56.250 (59.395) Prec@5 85.156 (81.103) Epoch: [49][9010/10010] Time 0.340 (0.326) Data 0.000 (0.001) Loss 1.7492 (1.7832) Prec@1 57.031 (59.394) Prec@5 82.031 (81.102) Epoch: [49][9020/10010] Time 0.325 (0.326) Data 0.001 (0.001) Loss 1.9149 (1.7832) Prec@1 56.250 (59.392) Prec@5 75.781 (81.101) Epoch: [49][9030/10010] Time 0.342 (0.326) Data 0.000 (0.001) Loss 1.5410 (1.7833) Prec@1 66.406 (59.391) Prec@5 82.031 (81.100) Epoch: [49][9040/10010] Time 0.340 (0.326) Data 0.001 (0.001) Loss 2.0067 (1.7833) Prec@1 57.031 (59.391) Prec@5 78.125 (81.099) Epoch: [49][9050/10010] Time 0.321 (0.326) Data 0.000 (0.001) Loss 2.0394 (1.7833) Prec@1 51.562 (59.392) Prec@5 77.344 (81.099) Epoch: [49][9060/10010] Time 0.332 (0.326) Data 0.001 (0.001) Loss 1.6883 (1.7833) Prec@1 59.375 (59.392) Prec@5 82.031 (81.098) Epoch: [49][9070/10010] Time 0.326 (0.326) Data 0.000 (0.001) Loss 1.7265 (1.7833) Prec@1 59.375 (59.393) Prec@5 80.469 (81.100) Epoch: [49][9080/10010] Time 0.332 (0.326) Data 0.001 (0.001) Loss 1.6095 (1.7833) Prec@1 64.062 (59.391) Prec@5 84.375 (81.100) Epoch: [49][9090/10010] Time 0.340 (0.326) Data 0.001 (0.001) Loss 1.3094 (1.7833) Prec@1 71.875 (59.391) Prec@5 87.500 (81.099) Epoch: [49][9100/10010] Time 0.316 (0.326) Data 0.000 (0.001) Loss 1.7926 (1.7832) Prec@1 58.594 (59.394) Prec@5 78.906 (81.100) Epoch: [49][9110/10010] Time 0.322 (0.326) Data 0.000 (0.001) Loss 1.9668 (1.7832) Prec@1 60.156 (59.394) Prec@5 82.031 (81.101) Epoch: [49][9120/10010] Time 0.319 (0.326) Data 0.000 (0.001) Loss 1.7760 (1.7832) Prec@1 59.375 (59.395) Prec@5 82.812 (81.103) Epoch: [49][9130/10010] Time 0.338 (0.326) Data 0.000 (0.001) Loss 1.9079 (1.7832) Prec@1 57.812 (59.395) Prec@5 77.344 (81.104) Epoch: [49][9140/10010] Time 0.316 (0.326) Data 0.001 (0.001) Loss 1.9337 (1.7833) Prec@1 57.031 (59.394) Prec@5 79.688 (81.102) Epoch: [49][9150/10010] Time 0.337 (0.326) Data 0.001 (0.001) Loss 1.3582 (1.7834) Prec@1 68.750 (59.392) Prec@5 85.156 (81.099) Epoch: [49][9160/10010] Time 0.329 (0.326) Data 0.000 (0.001) Loss 1.6207 (1.7834) Prec@1 62.500 (59.392) Prec@5 80.469 (81.099) Epoch: [49][9170/10010] Time 0.315 (0.326) Data 0.000 (0.001) Loss 1.7786 (1.7834) Prec@1 58.594 (59.389) Prec@5 79.688 (81.099) Epoch: [49][9180/10010] Time 0.321 (0.326) Data 0.000 (0.001) Loss 1.8608 (1.7835) Prec@1 59.375 (59.390) Prec@5 79.688 (81.098) Epoch: [49][9190/10010] Time 0.319 (0.326) Data 0.001 (0.001) Loss 1.7423 (1.7835) Prec@1 57.812 (59.386) Prec@5 80.469 (81.097) Epoch: [49][9200/10010] Time 0.334 (0.326) Data 0.001 (0.001) Loss 1.7257 (1.7836) Prec@1 63.281 (59.386) Prec@5 80.469 (81.097) /data/vision/torralba/deepscene/lib/anaconda2/lib/python2.7/site-packages/PIL/TiffImagePlugin.py:709: UserWarning: Corrupt EXIF data. Expecting to read 4 bytes but only got 0. warnings.warn(str(msg)) Epoch: [49][9210/10010] Time 0.320 (0.326) Data 0.000 (0.001) Loss 1.5770 (1.7835) Prec@1 64.844 (59.386) Prec@5 82.031 (81.098) Epoch: [49][9220/10010] Time 0.336 (0.326) Data 0.001 (0.001) Loss 1.8073 (1.7835) Prec@1 58.594 (59.385) Prec@5 80.469 (81.098) Epoch: [49][9230/10010] Time 0.315 (0.326) Data 0.000 (0.001) Loss 1.8239 (1.7836) Prec@1 58.594 (59.385) Prec@5 82.031 (81.097) Epoch: [49][9240/10010] Time 0.341 (0.326) Data 0.001 (0.001) Loss 1.9452 (1.7835) Prec@1 60.156 (59.386) Prec@5 82.812 (81.099) Epoch: [49][9250/10010] Time 0.321 (0.326) Data 0.000 (0.001) Loss 1.9029 (1.7835) Prec@1 51.562 (59.386) Prec@5 76.562 (81.099) Epoch: [49][9260/10010] Time 0.321 (0.326) Data 0.001 (0.001) Loss 1.6569 (1.7836) Prec@1 60.938 (59.384) Prec@5 80.469 (81.099) Epoch: [49][9270/10010] Time 0.320 (0.326) Data 0.000 (0.001) Loss 1.6336 (1.7836) Prec@1 57.031 (59.383) Prec@5 83.594 (81.098) Epoch: [49][9280/10010] Time 0.321 (0.326) Data 0.001 (0.001) Loss 1.7497 (1.7836) Prec@1 63.281 (59.385) Prec@5 80.469 (81.098) Epoch: [49][9290/10010] Time 0.314 (0.326) Data 0.000 (0.001) Loss 1.9344 (1.7836) Prec@1 56.250 (59.382) Prec@5 79.688 (81.097) Epoch: [49][9300/10010] Time 0.330 (0.326) Data 0.000 (0.001) Loss 2.2433 (1.7836) Prec@1 50.781 (59.383) Prec@5 69.531 (81.096) Epoch: [49][9310/10010] Time 0.314 (0.326) Data 0.001 (0.001) Loss 1.8087 (1.7836) Prec@1 60.156 (59.382) Prec@5 82.031 (81.094) Epoch: [49][9320/10010] Time 0.310 (0.326) Data 0.001 (0.001) Loss 1.9186 (1.7837) Prec@1 59.375 (59.382) Prec@5 83.594 (81.094) Epoch: [49][9330/10010] Time 0.328 (0.326) Data 0.001 (0.001) Loss 1.7901 (1.7837) Prec@1 62.500 (59.381) Prec@5 79.688 (81.093) Epoch: [49][9340/10010] Time 0.334 (0.326) Data 0.001 (0.001) Loss 1.8759 (1.7837) Prec@1 57.812 (59.381) Prec@5 81.250 (81.093) Epoch: [49][9350/10010] Time 0.332 (0.326) Data 0.001 (0.001) Loss 1.7431 (1.7838) Prec@1 64.062 (59.379) Prec@5 81.250 (81.093) Epoch: [49][9360/10010] Time 0.318 (0.326) Data 0.000 (0.001) Loss 2.1300 (1.7838) Prec@1 56.250 (59.379) Prec@5 73.438 (81.091) Epoch: [49][9370/10010] Time 0.322 (0.326) Data 0.000 (0.001) Loss 1.4592 (1.7839) Prec@1 67.188 (59.378) Prec@5 86.719 (81.091) Epoch: [49][9380/10010] Time 0.339 (0.326) Data 0.001 (0.001) Loss 1.8729 (1.7839) Prec@1 58.594 (59.376) Prec@5 83.594 (81.092) Epoch: [49][9390/10010] Time 0.333 (0.326) Data 0.001 (0.001) Loss 1.8431 (1.7839) Prec@1 56.250 (59.377) Prec@5 82.812 (81.093) Epoch: [49][9400/10010] Time 0.331 (0.326) Data 0.001 (0.001) Loss 2.0574 (1.7839) Prec@1 55.469 (59.377) Prec@5 78.125 (81.093) Epoch: [49][9410/10010] Time 0.318 (0.326) Data 0.001 (0.001) Loss 1.9290 (1.7838) Prec@1 57.812 (59.378) Prec@5 82.812 (81.094) Epoch: [49][9420/10010] Time 0.332 (0.326) Data 0.001 (0.001) Loss 1.3913 (1.7837) Prec@1 66.406 (59.381) Prec@5 88.281 (81.096) Epoch: [49][9430/10010] Time 0.337 (0.326) Data 0.001 (0.001) Loss 1.7678 (1.7838) Prec@1 55.469 (59.380) Prec@5 78.906 (81.094) Epoch: [49][9440/10010] Time 0.328 (0.326) Data 0.001 (0.001) Loss 1.7490 (1.7837) Prec@1 61.719 (59.381) Prec@5 84.375 (81.095) Epoch: [49][9450/10010] Time 0.341 (0.326) Data 0.001 (0.001) Loss 1.6220 (1.7838) Prec@1 59.375 (59.380) Prec@5 83.594 (81.094) Epoch: [49][9460/10010] Time 0.316 (0.326) Data 0.001 (0.001) Loss 1.9818 (1.7837) Prec@1 53.906 (59.381) Prec@5 75.781 (81.096) Epoch: [49][9470/10010] Time 0.333 (0.326) Data 0.000 (0.001) Loss 1.8669 (1.7838) Prec@1 57.812 (59.377) Prec@5 80.469 (81.095) Epoch: [49][9480/10010] Time 0.315 (0.326) Data 0.001 (0.001) Loss 1.5082 (1.7838) Prec@1 64.062 (59.376) Prec@5 83.594 (81.096) Epoch: [49][9490/10010] Time 0.316 (0.326) Data 0.000 (0.001) Loss 1.9602 (1.7838) Prec@1 58.594 (59.377) Prec@5 75.781 (81.096) Epoch: [49][9500/10010] Time 0.325 (0.326) Data 0.001 (0.001) Loss 2.1150 (1.7839) Prec@1 57.031 (59.375) Prec@5 76.562 (81.095) Epoch: [49][9510/10010] Time 0.324 (0.326) Data 0.001 (0.001) Loss 1.9935 (1.7839) Prec@1 56.250 (59.375) Prec@5 76.562 (81.096) Epoch: [49][9520/10010] Time 0.320 (0.326) Data 0.001 (0.001) Loss 1.7246 (1.7839) Prec@1 64.062 (59.374) Prec@5 81.250 (81.096) Epoch: [49][9530/10010] Time 0.310 (0.326) Data 0.001 (0.001) Loss 2.3940 (1.7840) Prec@1 50.781 (59.373) Prec@5 73.438 (81.096) Epoch: [49][9540/10010] Time 0.325 (0.326) Data 0.001 (0.001) Loss 1.6076 (1.7839) Prec@1 62.500 (59.373) Prec@5 83.594 (81.097) Epoch: [49][9550/10010] Time 0.334 (0.326) Data 0.001 (0.001) Loss 1.5707 (1.7839) Prec@1 65.625 (59.374) Prec@5 84.375 (81.096) Epoch: [49][9560/10010] Time 0.322 (0.326) Data 0.000 (0.001) Loss 2.0929 (1.7839) Prec@1 53.906 (59.373) Prec@5 78.125 (81.097) Epoch: [49][9570/10010] Time 0.319 (0.326) Data 0.000 (0.001) Loss 1.8851 (1.7839) Prec@1 53.125 (59.373) Prec@5 78.906 (81.097) Epoch: [49][9580/10010] Time 0.336 (0.326) Data 0.001 (0.001) Loss 1.9088 (1.7840) Prec@1 57.031 (59.371) Prec@5 79.688 (81.095) Epoch: [49][9590/10010] Time 0.325 (0.326) Data 0.001 (0.001) Loss 1.5586 (1.7839) Prec@1 68.750 (59.372) Prec@5 83.594 (81.096) Epoch: [49][9600/10010] Time 0.341 (0.326) Data 0.000 (0.001) Loss 1.8443 (1.7840) Prec@1 55.469 (59.370) Prec@5 82.031 (81.096) Epoch: [49][9610/10010] Time 0.321 (0.326) Data 0.001 (0.001) Loss 1.7757 (1.7839) Prec@1 59.375 (59.371) Prec@5 79.688 (81.097) Epoch: [49][9620/10010] Time 0.319 (0.326) Data 0.000 (0.001) Loss 1.7822 (1.7841) Prec@1 58.594 (59.370) Prec@5 83.594 (81.095) Epoch: [49][9630/10010] Time 0.331 (0.326) Data 0.001 (0.001) Loss 1.5514 (1.7841) Prec@1 60.938 (59.369) Prec@5 85.938 (81.095) Epoch: [49][9640/10010] Time 0.315 (0.326) Data 0.001 (0.001) Loss 1.6408 (1.7841) Prec@1 69.531 (59.370) Prec@5 82.031 (81.096) Epoch: [49][9650/10010] Time 0.321 (0.326) Data 0.001 (0.001) Loss 1.9612 (1.7840) Prec@1 60.156 (59.372) Prec@5 78.906 (81.097) Epoch: [49][9660/10010] Time 0.318 (0.326) Data 0.001 (0.001) Loss 1.6432 (1.7839) Prec@1 64.062 (59.373) Prec@5 81.250 (81.097) Epoch: [49][9670/10010] Time 0.316 (0.326) Data 0.001 (0.001) Loss 1.9886 (1.7840) Prec@1 57.031 (59.371) Prec@5 77.344 (81.095) Epoch: [49][9680/10010] Time 0.325 (0.326) Data 0.001 (0.001) Loss 1.6198 (1.7840) Prec@1 63.281 (59.371) Prec@5 80.469 (81.095) Epoch: [49][9690/10010] Time 0.343 (0.326) Data 0.001 (0.001) Loss 2.0795 (1.7841) Prec@1 52.344 (59.369) Prec@5 77.344 (81.094) Epoch: [49][9700/10010] Time 0.338 (0.326) Data 0.001 (0.001) Loss 2.0074 (1.7842) Prec@1 58.594 (59.368) Prec@5 74.219 (81.093) Epoch: [49][9710/10010] Time 0.339 (0.326) Data 0.001 (0.001) Loss 1.4464 (1.7842) Prec@1 64.844 (59.368) Prec@5 90.625 (81.094) Epoch: [49][9720/10010] Time 0.314 (0.326) Data 0.001 (0.001) Loss 1.7187 (1.7842) Prec@1 58.594 (59.366) Prec@5 82.031 (81.093) Epoch: [49][9730/10010] Time 0.337 (0.326) Data 0.001 (0.001) Loss 1.8977 (1.7842) Prec@1 58.594 (59.367) Prec@5 77.344 (81.093) Epoch: [49][9740/10010] Time 0.318 (0.326) Data 0.001 (0.001) Loss 2.3145 (1.7843) Prec@1 46.875 (59.364) Prec@5 78.125 (81.092) Epoch: [49][9750/10010] Time 0.334 (0.326) Data 0.001 (0.001) Loss 1.9273 (1.7843) Prec@1 53.906 (59.364) Prec@5 80.469 (81.092) Epoch: [49][9760/10010] Time 0.318 (0.326) Data 0.001 (0.001) Loss 1.4463 (1.7843) Prec@1 64.062 (59.363) Prec@5 85.938 (81.092) Epoch: [49][9770/10010] Time 0.333 (0.326) Data 0.001 (0.001) Loss 1.8952 (1.7843) Prec@1 58.594 (59.364) Prec@5 76.562 (81.092) Epoch: [49][9780/10010] Time 0.326 (0.326) Data 0.001 (0.001) Loss 2.0855 (1.7843) Prec@1 54.688 (59.363) Prec@5 82.812 (81.093) Epoch: [49][9790/10010] Time 0.330 (0.326) Data 0.001 (0.001) Loss 1.7694 (1.7843) Prec@1 59.375 (59.364) Prec@5 81.250 (81.093) Epoch: [49][9800/10010] Time 0.330 (0.326) Data 0.001 (0.001) Loss 1.8034 (1.7844) Prec@1 55.469 (59.362) Prec@5 82.031 (81.093) Epoch: [49][9810/10010] Time 0.321 (0.326) Data 0.000 (0.001) Loss 1.6635 (1.7844) Prec@1 60.156 (59.360) Prec@5 84.375 (81.093) Epoch: [49][9820/10010] Time 0.341 (0.326) Data 0.000 (0.001) Loss 1.9094 (1.7845) Prec@1 61.719 (59.360) Prec@5 82.031 (81.093) Epoch: [49][9830/10010] Time 0.339 (0.326) Data 0.001 (0.001) Loss 1.6421 (1.7845) Prec@1 60.156 (59.361) Prec@5 81.250 (81.091) Epoch: [49][9840/10010] Time 0.315 (0.326) Data 0.001 (0.001) Loss 1.7538 (1.7845) Prec@1 63.281 (59.363) Prec@5 80.469 (81.091) Epoch: [49][9850/10010] Time 0.325 (0.326) Data 0.000 (0.001) Loss 1.8486 (1.7844) Prec@1 57.812 (59.365) Prec@5 79.688 (81.092) Epoch: [49][9860/10010] Time 0.338 (0.326) Data 0.000 (0.001) Loss 1.9594 (1.7845) Prec@1 57.812 (59.364) Prec@5 79.688 (81.091) Epoch: [49][9870/10010] Time 0.336 (0.326) Data 0.000 (0.001) Loss 1.6092 (1.7845) Prec@1 63.281 (59.364) Prec@5 85.156 (81.091) Epoch: [49][9880/10010] Time 0.331 (0.326) Data 0.001 (0.001) Loss 1.6477 (1.7844) Prec@1 60.938 (59.365) Prec@5 85.938 (81.093) Epoch: [49][9890/10010] Time 0.336 (0.326) Data 0.000 (0.001) Loss 1.8524 (1.7845) Prec@1 60.938 (59.365) Prec@5 80.469 (81.091) Epoch: [49][9900/10010] Time 0.329 (0.326) Data 0.001 (0.001) Loss 1.5518 (1.7845) Prec@1 67.969 (59.367) Prec@5 84.375 (81.091) Epoch: [49][9910/10010] Time 0.340 (0.326) Data 0.001 (0.001) Loss 2.1178 (1.7845) Prec@1 53.906 (59.367) Prec@5 78.125 (81.092) Epoch: [49][9920/10010] Time 0.317 (0.326) Data 0.001 (0.001) Loss 1.9864 (1.7844) Prec@1 55.469 (59.368) Prec@5 78.125 (81.092) Epoch: [49][9930/10010] Time 0.334 (0.326) Data 0.000 (0.001) Loss 1.7657 (1.7845) Prec@1 56.250 (59.367) Prec@5 78.906 (81.091) Epoch: [49][9940/10010] Time 0.327 (0.326) Data 0.001 (0.001) Loss 1.6921 (1.7845) Prec@1 61.719 (59.367) Prec@5 84.375 (81.092) Epoch: [49][9950/10010] Time 0.320 (0.326) Data 0.001 (0.001) Loss 1.9178 (1.7845) Prec@1 58.594 (59.366) Prec@5 80.469 (81.092) Epoch: [49][9960/10010] Time 0.340 (0.326) Data 0.001 (0.001) Loss 1.9672 (1.7845) Prec@1 56.250 (59.365) Prec@5 78.906 (81.092) Epoch: [49][9970/10010] Time 0.313 (0.326) Data 0.001 (0.001) Loss 1.6276 (1.7845) Prec@1 59.375 (59.366) Prec@5 85.156 (81.092) Epoch: [49][9980/10010] Time 0.341 (0.326) Data 0.000 (0.001) Loss 1.6124 (1.7846) Prec@1 63.281 (59.365) Prec@5 83.594 (81.090) Epoch: [49][9990/10010] Time 0.337 (0.326) Data 0.000 (0.001) Loss 1.6960 (1.7846) Prec@1 61.719 (59.365) Prec@5 82.031 (81.091) Epoch: [49][10000/10010] Time 0.326 (0.326) Data 0.000 (0.001) Loss 1.8258 (1.7846) Prec@1 62.500 (59.363) Prec@5 79.688 (81.090) Test: [0/391] Time 1.017 (1.017) Loss 0.8232 (0.8232) Prec@1 81.250 (81.250) Prec@5 91.406 (91.406) Test: [10/391] Time 0.119 (0.205) Loss 1.4670 (0.8404) Prec@1 67.188 (79.972) Prec@5 85.156 (92.827) Test: [20/391] Time 0.105 (0.159) Loss 1.2011 (1.1657) Prec@1 70.312 (71.466) Prec@5 89.844 (89.546) Test: [30/391] Time 0.104 (0.142) Loss 1.8378 (1.3081) Prec@1 63.281 (67.566) Prec@5 83.594 (88.458) Test: [40/391] Time 0.106 (0.135) Loss 1.4525 (1.1858) Prec@1 69.531 (70.922) Prec@5 90.625 (89.558) Test: [50/391] Time 0.104 (0.129) Loss 0.5764 (1.2196) Prec@1 86.719 (70.726) Prec@5 96.875 (89.001) Test: [60/391] Time 0.103 (0.125) Loss 1.2125 (1.1607) Prec@1 67.969 (72.054) Prec@5 89.844 (89.664) Test: [70/391] Time 0.102 (0.122) Loss 1.3670 (1.2007) Prec@1 60.938 (70.555) Prec@5 92.188 (89.558) Test: [80/391] Time 0.102 (0.120) Loss 1.2038 (1.2030) Prec@1 67.969 (70.014) Prec@5 90.625 (89.863) Test: [90/391] Time 0.107 (0.118) Loss 1.5324 (1.2052) Prec@1 46.094 (69.763) Prec@5 89.844 (90.015) Test: [100/391] Time 0.104 (0.117) Loss 0.8969 (1.1926) Prec@1 75.000 (69.632) Prec@5 96.094 (90.377) Test: [110/391] Time 0.104 (0.116) Loss 1.1941 (1.1928) Prec@1 50.000 (69.299) Prec@5 94.531 (90.548) Test: [120/391] Time 0.107 (0.116) Loss 1.2752 (1.1899) Prec@1 66.406 (69.544) Prec@5 89.062 (90.606) Test: [130/391] Time 0.107 (0.115) Loss 0.8315 (1.1839) Prec@1 81.250 (69.782) Prec@5 91.406 (90.637) Test: [140/391] Time 0.111 (0.115) Loss 1.5954 (1.1792) Prec@1 60.938 (69.825) Prec@5 84.375 (90.747) Test: [150/391] Time 0.111 (0.114) Loss 1.3412 (1.1870) Prec@1 53.906 (69.692) Prec@5 91.406 (90.568) Test: [160/391] Time 0.113 (0.114) Loss 1.1968 (1.1950) Prec@1 68.750 (69.497) Prec@5 89.062 (90.470) Test: [170/391] Time 0.108 (0.114) Loss 2.2248 (1.2338) Prec@1 40.625 (68.686) Prec@5 78.906 (89.963) Test: [180/391] Time 0.172 (0.114) Loss 2.2205 (1.2718) Prec@1 48.438 (67.995) Prec@5 80.469 (89.485) Test: [190/391] Time 0.111 (0.113) Loss 2.2907 (1.3079) Prec@1 51.562 (67.355) Prec@5 82.812 (88.928) Test: [200/391] Time 0.102 (0.113) Loss 1.6279 (1.3438) Prec@1 60.156 (66.698) Prec@5 83.594 (88.429) Test: [210/391] Time 0.105 (0.113) Loss 1.8584 (1.3625) Prec@1 58.594 (66.325) Prec@5 80.469 (88.141) Test: [220/391] Time 0.105 (0.112) Loss 0.9246 (1.3793) Prec@1 76.562 (66.077) Prec@5 93.750 (87.800) Test: [230/391] Time 0.109 (0.112) Loss 2.4583 (1.3888) Prec@1 43.750 (66.011) Prec@5 76.562 (87.669) Test: [240/391] Time 0.109 (0.112) Loss 1.6866 (1.3948) Prec@1 68.750 (65.988) Prec@5 82.812 (87.562) Test: [250/391] Time 0.109 (0.112) Loss 1.2834 (1.4195) Prec@1 71.875 (65.513) Prec@5 87.500 (87.235) Test: [260/391] Time 0.105 (0.111) Loss 1.9460 (1.4368) Prec@1 58.594 (65.107) Prec@5 81.250 (87.024) Test: [270/391] Time 0.102 (0.111) Loss 2.4502 (1.4540) Prec@1 44.531 (64.763) Prec@5 75.781 (86.742) Test: [280/391] Time 0.113 (0.112) Loss 1.3494 (1.4661) Prec@1 64.062 (64.524) Prec@5 91.406 (86.596) Test: [290/391] Time 0.105 (0.111) Loss 1.5717 (1.4790) Prec@1 53.906 (64.377) Prec@5 88.281 (86.351) Test: [300/391] Time 0.104 (0.111) Loss 1.4980 (1.4906) Prec@1 75.000 (64.203) Prec@5 84.375 (86.161) Test: [310/391] Time 0.107 (0.111) Loss 2.1582 (1.5024) Prec@1 57.031 (64.000) Prec@5 75.000 (85.978) Test: [320/391] Time 0.106 (0.111) Loss 1.0539 (1.5146) Prec@1 72.656 (63.727) Prec@5 92.969 (85.826) Test: [330/391] Time 0.102 (0.111) Loss 2.4947 (1.5374) Prec@1 43.750 (63.260) Prec@5 66.406 (85.477) Test: [340/391] Time 0.104 (0.111) Loss 1.2595 (1.5440) Prec@1 64.844 (63.059) Prec@5 92.969 (85.378) Test: [350/391] Time 0.103 (0.111) Loss 1.6292 (1.5486) Prec@1 65.625 (63.021) Prec@5 85.156 (85.292) Test: [360/391] Time 0.110 (0.110) Loss 1.7238 (1.5566) Prec@1 53.906 (62.898) Prec@5 84.375 (85.200) Test: [370/391] Time 0.109 (0.111) Loss 1.4334 (1.5500) Prec@1 59.375 (63.014) Prec@5 96.094 (85.302) Test: [380/391] Time 0.109 (0.110) Loss 1.3638 (1.5500) Prec@1 66.406 (63.009) Prec@5 89.844 (85.308) Test: [390/391] Time 0.070 (0.110) Loss 2.2909 (1.5405) Prec@1 50.000 (63.208) Prec@5 77.500 (85.440) * Prec@1 63.208 Prec@5 85.440 Epoch: [50][0/10010] Time 2.314 (2.314) Data 2.097 (2.097) Loss 1.5364 (1.5364) Prec@1 64.062 (64.062) Prec@5 83.594 (83.594) Epoch: [50][10/10010] Time 0.276 (0.498) Data 0.001 (0.198) Loss 1.6664 (1.6922) Prec@1 59.375 (61.506) Prec@5 83.594 (81.392) Epoch: [50][20/10010] Time 0.261 (0.412) Data 0.001 (0.104) Loss 1.5849 (1.7464) Prec@1 61.719 (60.156) Prec@5 85.156 (81.250) Epoch: [50][30/10010] Time 0.324 (0.381) Data 0.001 (0.071) Loss 1.6500 (1.7648) Prec@1 64.062 (59.526) Prec@5 84.375 (81.426) Epoch: [50][40/10010] Time 0.354 (0.368) Data 0.001 (0.054) Loss 1.5596 (1.7674) Prec@1 62.500 (59.299) Prec@5 86.719 (81.364) Epoch: [50][50/10010] Time 0.341 (0.358) Data 0.001 (0.043) Loss 1.5733 (1.7536) Prec@1 61.719 (59.559) Prec@5 88.281 (81.710) Epoch: [50][60/10010] Time 0.319 (0.353) Data 0.001 (0.036) Loss 1.5932 (1.7653) Prec@1 63.281 (59.375) Prec@5 82.812 (81.481) Epoch: [50][70/10010] Time 0.313 (0.348) Data 0.001 (0.031) Loss 1.6868 (1.7773) Prec@1 59.375 (59.298) Prec@5 85.156 (81.371) Epoch: [50][80/10010] Time 0.327 (0.345) Data 0.001 (0.027) Loss 1.6886 (1.7744) Prec@1 64.062 (59.385) Prec@5 82.031 (81.385) Epoch: [50][90/10010] Time 0.327 (0.343) Data 0.001 (0.025) Loss 1.8501 (1.7728) Prec@1 63.281 (59.418) Prec@5 81.250 (81.319) Epoch: [50][100/10010] Time 0.314 (0.341) Data 0.001 (0.022) Loss 1.8672 (1.7707) Prec@1 60.938 (59.414) Prec@5 84.375 (81.420) Epoch: [50][110/10010] Time 0.310 (0.340) Data 0.000 (0.020) Loss 1.9785 (1.7673) Prec@1 57.031 (59.530) Prec@5 82.812 (81.489) Epoch: [50][120/10010] Time 0.341 (0.339) Data 0.000 (0.019) Loss 1.5962 (1.7644) Prec@1 59.375 (59.562) Prec@5 83.594 (81.508) Epoch: [50][130/10010] Time 0.326 (0.338) Data 0.000 (0.017) Loss 1.9144 (1.7602) Prec@1 56.250 (59.673) Prec@5 77.344 (81.453) Epoch: [50][140/10010] Time 0.333 (0.337) Data 0.001 (0.016) Loss 1.7706 (1.7582) Prec@1 59.375 (59.779) Prec@5 80.469 (81.510) Epoch: [50][150/10010] Time 0.336 (0.336) Data 0.000 (0.015) Loss 1.8099 (1.7536) Prec@1 60.156 (59.887) Prec@5 82.812 (81.617) Epoch: [50][160/10010] Time 0.334 (0.335) Data 0.001 (0.014) Loss 2.0769 (1.7624) Prec@1 56.250 (59.817) Prec@5 78.906 (81.464) Epoch: [50][170/10010] Time 0.318 (0.334) Data 0.001 (0.013) Loss 1.7487 (1.7657) Prec@1 57.812 (59.672) Prec@5 80.469 (81.405) Epoch: [50][180/10010] Time 0.335 (0.334) Data 0.000 (0.013) Loss 1.9164 (1.7637) Prec@1 58.594 (59.716) Prec@5 77.344 (81.436) Epoch: [50][190/10010] Time 0.327 (0.334) Data 0.001 (0.012) Loss 1.5437 (1.7640) Prec@1 60.156 (59.649) Prec@5 85.156 (81.442) Epoch: [50][200/10010] Time 0.334 (0.334) Data 0.001 (0.011) Loss 1.5875 (1.7583) Prec@1 63.281 (59.733) Prec@5 82.031 (81.510) Epoch: [50][210/10010] Time 0.337 (0.333) Data 0.001 (0.011) Loss 1.6921 (1.7582) Prec@1 64.844 (59.767) Prec@5 78.125 (81.476) Epoch: [50][220/10010] Time 0.337 (0.333) Data 0.000 (0.010) Loss 1.7717 (1.7603) Prec@1 61.719 (59.753) Prec@5 78.906 (81.462) Epoch: [50][230/10010] Time 0.318 (0.333) Data 0.000 (0.010) Loss 1.8085 (1.7625) Prec@1 66.406 (59.720) Prec@5 80.469 (81.416) Epoch: [50][240/10010] Time 0.329 (0.333) Data 0.001 (0.010) Loss 1.9808 (1.7678) Prec@1 54.688 (59.612) Prec@5 80.469 (81.350) Epoch: [50][250/10010] Time 0.312 (0.333) Data 0.001 (0.009) Loss 1.7689 (1.7659) Prec@1 61.719 (59.649) Prec@5 80.469 (81.346) Epoch: [50][260/10010] Time 0.317 (0.332) Data 0.001 (0.009) Loss 2.0259 (1.7698) Prec@1 53.125 (59.573) Prec@5 73.438 (81.256) Epoch: [50][270/10010] Time 0.320 (0.332) Data 0.001 (0.009) Loss 1.7086 (1.7692) Prec@1 64.062 (59.597) Prec@5 80.469 (81.282) Epoch: [50][280/10010] Time 0.325 (0.332) Data 0.000 (0.008) Loss 1.7828 (1.7690) Prec@1 57.031 (59.597) Prec@5 81.250 (81.289) Epoch: [50][290/10010] Time 0.315 (0.331) Data 0.001 (0.008) Loss 1.8735 (1.7691) Prec@1 57.812 (59.592) Prec@5 77.344 (81.271) Epoch: [50][300/10010] Time 0.315 (0.331) Data 0.001 (0.008) Loss 1.6524 (1.7703) Prec@1 62.500 (59.567) Prec@5 86.719 (81.271) Epoch: [50][310/10010] Time 0.323 (0.331) Data 0.001 (0.008) Loss 1.5425 (1.7677) Prec@1 64.844 (59.616) Prec@5 86.719 (81.325) Epoch: [50][320/10010] Time 0.338 (0.331) Data 0.000 (0.007) Loss 1.8730 (1.7687) Prec@1 56.250 (59.623) Prec@5 78.125 (81.313) Epoch: [50][330/10010] Time 0.315 (0.330) Data 0.001 (0.007) Loss 1.7049 (1.7650) Prec@1 59.375 (59.670) Prec@5 83.594 (81.363) Epoch: [50][340/10010] Time 0.320 (0.330) Data 0.000 (0.007) Loss 1.6456 (1.7638) Prec@1 58.594 (59.687) Prec@5 84.375 (81.417) Epoch: [50][350/10010] Time 0.316 (0.330) Data 0.001 (0.007) Loss 2.0545 (1.7662) Prec@1 54.688 (59.647) Prec@5 78.906 (81.399) Epoch: [50][360/10010] Time 0.331 (0.330) Data 0.000 (0.007) Loss 1.7636 (1.7663) Prec@1 58.594 (59.671) Prec@5 78.906 (81.391) Epoch: [50][370/10010] Time 0.335 (0.330) Data 0.001 (0.007) Loss 1.7930 (1.7671) Prec@1 57.031 (59.647) Prec@5 78.906 (81.370) Epoch: [50][380/10010] Time 0.319 (0.330) Data 0.001 (0.006) Loss 1.6402 (1.7675) Prec@1 60.938 (59.633) Prec@5 82.031 (81.373) Epoch: [50][390/10010] Time 0.317 (0.330) Data 0.000 (0.006) Loss 1.9466 (1.7668) Prec@1 51.562 (59.635) Prec@5 79.688 (81.412) Epoch: [50][400/10010] Time 0.325 (0.330) Data 0.001 (0.006) Loss 1.7382 (1.7685) Prec@1 62.500 (59.620) Prec@5 82.812 (81.367) Epoch: [50][410/10010] Time 0.325 (0.330) Data 0.001 (0.006) Loss 2.0076 (1.7698) Prec@1 54.688 (59.588) Prec@5 81.250 (81.349) Epoch: [50][420/10010] Time 0.337 (0.330) Data 0.001 (0.006) Loss 1.3698 (1.7671) Prec@1 67.969 (59.689) Prec@5 90.625 (81.371) Epoch: [50][430/10010] Time 0.334 (0.330) Data 0.001 (0.006) Loss 1.8440 (1.7688) Prec@1 60.156 (59.683) Prec@5 82.031 (81.355) Epoch: [50][440/10010] Time 0.320 (0.330) Data 0.001 (0.006) Loss 1.7566 (1.7685) Prec@1 60.938 (59.689) Prec@5 82.812 (81.365) Epoch: [50][450/10010] Time 0.342 (0.330) Data 0.000 (0.005) Loss 1.9782 (1.7678) Prec@1 54.688 (59.678) Prec@5 78.125 (81.387) Epoch: [50][460/10010] Time 0.317 (0.330) Data 0.001 (0.005) Loss 1.6358 (1.7654) Prec@1 66.406 (59.722) Prec@5 85.938 (81.419) Epoch: [50][470/10010] Time 0.329 (0.330) Data 0.001 (0.005) Loss 1.5238 (1.7653) Prec@1 62.500 (59.722) Prec@5 85.156 (81.429) Epoch: [50][480/10010] Time 0.342 (0.329) Data 0.000 (0.005) Loss 1.7995 (1.7644) Prec@1 59.375 (59.729) Prec@5 82.031 (81.447) Epoch: [50][490/10010] Time 0.343 (0.329) Data 0.000 (0.005) Loss 1.9046 (1.7627) Prec@1 57.812 (59.790) Prec@5 78.906 (81.458) Epoch: [50][500/10010] Time 0.338 (0.329) Data 0.000 (0.005) Loss 1.9191 (1.7659) Prec@1 54.688 (59.738) Prec@5 79.688 (81.400) Epoch: [50][510/10010] Time 0.329 (0.329) Data 0.000 (0.005) Loss 1.7260 (1.7651) Prec@1 58.594 (59.748) Prec@5 82.812 (81.411) Epoch: [50][520/10010] Time 0.316 (0.329) Data 0.000 (0.005) Loss 1.8520 (1.7642) Prec@1 60.938 (59.751) Prec@5 77.344 (81.430) Epoch: [50][530/10010] Time 0.319 (0.329) Data 0.000 (0.005) Loss 1.6457 (1.7640) Prec@1 64.062 (59.778) Prec@5 80.469 (81.428) Epoch: [50][540/10010] Time 0.320 (0.329) Data 0.001 (0.005) Loss 1.7175 (1.7644) Prec@1 62.500 (59.750) Prec@5 80.469 (81.416) Epoch: [50][550/10010] Time 0.337 (0.329) Data 0.001 (0.005) Loss 1.8328 (1.7658) Prec@1 62.500 (59.715) Prec@5 81.250 (81.413) Epoch: [50][560/10010] Time 0.339 (0.329) Data 0.001 (0.005) Loss 1.9159 (1.7658) Prec@1 52.344 (59.701) Prec@5 77.344 (81.409) Epoch: [50][570/10010] Time 0.319 (0.329) Data 0.001 (0.004) Loss 1.7452 (1.7673) Prec@1 61.719 (59.646) Prec@5 82.031 (81.375) Epoch: [50][580/10010] Time 0.341 (0.329) Data 0.001 (0.004) Loss 1.6025 (1.7672) Prec@1 60.938 (59.656) Prec@5 84.375 (81.379) Epoch: [50][590/10010] Time 0.334 (0.329) Data 0.001 (0.004) Loss 1.7644 (1.7661) Prec@1 61.719 (59.675) Prec@5 78.906 (81.384) Epoch: [50][600/10010] Time 0.321 (0.329) Data 0.001 (0.004) Loss 1.6595 (1.7663) Prec@1 62.500 (59.657) Prec@5 82.812 (81.396) Epoch: [50][610/10010] Time 0.335 (0.329) Data 0.001 (0.004) Loss 2.0151 (1.7668) Prec@1 49.219 (59.650) Prec@5 78.125 (81.386) Epoch: [50][620/10010] Time 0.318 (0.329) Data 0.000 (0.004) Loss 1.7210 (1.7659) Prec@1 61.719 (59.669) Prec@5 81.250 (81.410) Epoch: [50][630/10010] Time 0.321 (0.329) Data 0.000 (0.004) Loss 1.5942 (1.7649) Prec@1 60.156 (59.687) Prec@5 85.938 (81.426) Epoch: [50][640/10010] Time 0.332 (0.329) Data 0.000 (0.004) Loss 1.6652 (1.7642) Prec@1 61.719 (59.670) Prec@5 81.250 (81.456) Epoch: [50][650/10010] Time 0.326 (0.329) Data 0.001 (0.004) Loss 1.7564 (1.7643) Prec@1 61.719 (59.683) Prec@5 82.812 (81.454) Epoch: [50][660/10010] Time 0.317 (0.329) Data 0.001 (0.004) Loss 1.7301 (1.7653) Prec@1 57.812 (59.669) Prec@5 82.812 (81.443) Epoch: [50][670/10010] Time 0.332 (0.329) Data 0.001 (0.004) Loss 1.7137 (1.7653) Prec@1 56.250 (59.680) Prec@5 79.688 (81.437) Epoch: [50][680/10010] Time 0.322 (0.329) Data 0.001 (0.004) Loss 1.5857 (1.7643) Prec@1 63.281 (59.701) Prec@5 83.594 (81.445) Epoch: [50][690/10010] Time 0.319 (0.328) Data 0.001 (0.004) Loss 1.9845 (1.7648) Prec@1 51.562 (59.692) Prec@5 78.906 (81.438) Epoch: [50][700/10010] Time 0.316 (0.328) Data 0.001 (0.004) Loss 1.5084 (1.7644) Prec@1 64.062 (59.698) Prec@5 84.375 (81.456) Epoch: [50][710/10010] Time 0.320 (0.328) Data 0.000 (0.004) Loss 1.9694 (1.7640) Prec@1 53.125 (59.698) Prec@5 78.906 (81.470) Epoch: [50][720/10010] Time 0.324 (0.328) Data 0.000 (0.004) Loss 1.6239 (1.7646) Prec@1 62.500 (59.684) Prec@5 82.031 (81.455) Epoch: [50][730/10010] Time 0.336 (0.328) Data 0.001 (0.004) Loss 1.7537 (1.7653) Prec@1 60.938 (59.695) Prec@5 82.031 (81.433) Epoch: [50][740/10010] Time 0.316 (0.328) Data 0.001 (0.004) Loss 1.8521 (1.7644) Prec@1 57.031 (59.701) Prec@5 80.469 (81.430) Epoch: [50][750/10010] Time 0.327 (0.328) Data 0.001 (0.004) Loss 1.9636 (1.7640) Prec@1 59.375 (59.700) Prec@5 79.688 (81.449) Epoch: [50][760/10010] Time 0.323 (0.328) Data 0.000 (0.004) Loss 1.8440 (1.7627) Prec@1 58.594 (59.736) Prec@5 82.031 (81.465) Epoch: [50][770/10010] Time 0.311 (0.328) Data 0.001 (0.003) Loss 1.6007 (1.7622) Prec@1 61.719 (59.745) Prec@5 83.594 (81.463) Epoch: [50][780/10010] Time 0.318 (0.328) Data 0.001 (0.003) Loss 1.6005 (1.7617) Prec@1 63.281 (59.752) Prec@5 81.250 (81.459) Epoch: [50][790/10010] Time 0.335 (0.328) Data 0.001 (0.003) Loss 1.9635 (1.7626) Prec@1 54.688 (59.729) Prec@5 75.000 (81.452) Epoch: [50][800/10010] Time 0.312 (0.328) Data 0.001 (0.003) Loss 1.6878 (1.7622) Prec@1 58.594 (59.739) Prec@5 78.906 (81.450) Epoch: [50][810/10010] Time 0.336 (0.328) Data 0.001 (0.003) Loss 2.0702 (1.7631) Prec@1 57.031 (59.746) Prec@5 75.781 (81.436) Epoch: [50][820/10010] Time 0.317 (0.328) Data 0.001 (0.003) Loss 1.5429 (1.7622) Prec@1 62.500 (59.756) Prec@5 86.719 (81.455) Epoch: [50][830/10010] Time 0.330 (0.328) Data 0.000 (0.003) Loss 1.7046 (1.7635) Prec@1 60.938 (59.716) Prec@5 85.938 (81.433) Epoch: [50][840/10010] Time 0.315 (0.328) Data 0.001 (0.003) Loss 1.7360 (1.7637) Prec@1 57.812 (59.715) Prec@5 83.594 (81.425) Epoch: [50][850/10010] Time 0.333 (0.328) Data 0.001 (0.003) Loss 1.4073 (1.7625) Prec@1 71.094 (59.746) Prec@5 85.938 (81.446) Epoch: [50][860/10010] Time 0.322 (0.328) Data 0.001 (0.003) Loss 2.3408 (1.7627) Prec@1 51.562 (59.742) Prec@5 72.656 (81.460) Epoch: [50][870/10010] Time 0.336 (0.328) Data 0.000 (0.003) Loss 1.6759 (1.7635) Prec@1 60.938 (59.738) Prec@5 82.031 (81.448) Epoch: [50][880/10010] Time 0.320 (0.328) Data 0.001 (0.003) Loss 1.6851 (1.7636) Prec@1 64.062 (59.731) Prec@5 82.812 (81.453) Epoch: [50][890/10010] Time 0.333 (0.328) Data 0.001 (0.003) Loss 1.5124 (1.7632) Prec@1 60.156 (59.731) Prec@5 83.594 (81.463) Epoch: [50][900/10010] Time 0.310 (0.328) Data 0.000 (0.003) Loss 1.7443 (1.7634) Prec@1 60.156 (59.726) Prec@5 82.031 (81.456) Epoch: [50][910/10010] Time 0.316 (0.328) Data 0.001 (0.003) Loss 1.9383 (1.7637) Prec@1 55.469 (59.717) Prec@5 82.031 (81.450) Epoch: [50][920/10010] Time 0.332 (0.328) Data 0.001 (0.003) Loss 1.9641 (1.7635) Prec@1 59.375 (59.710) Prec@5 82.031 (81.450) Epoch: [50][930/10010] Time 0.323 (0.328) Data 0.001 (0.003) Loss 1.6108 (1.7632) Prec@1 60.938 (59.717) Prec@5 80.469 (81.454) Epoch: [50][940/10010] Time 0.333 (0.328) Data 0.001 (0.003) Loss 1.8437 (1.7626) Prec@1 53.906 (59.735) Prec@5 82.812 (81.456) Epoch: [50][950/10010] Time 0.332 (0.328) Data 0.001 (0.003) Loss 1.9663 (1.7626) Prec@1 54.688 (59.730) Prec@5 74.219 (81.432) Epoch: [50][960/10010] Time 0.320 (0.328) Data 0.001 (0.003) Loss 1.9614 (1.7623) Prec@1 56.250 (59.734) Prec@5 77.344 (81.442) Epoch: [50][970/10010] Time 0.320 (0.328) Data 0.001 (0.003) Loss 1.7902 (1.7628) Prec@1 59.375 (59.729) Prec@5 80.469 (81.446) Epoch: [50][980/10010] Time 0.316 (0.327) Data 0.001 (0.003) Loss 1.8282 (1.7623) Prec@1 59.375 (59.737) Prec@5 79.688 (81.455) Epoch: [50][990/10010] Time 0.324 (0.327) Data 0.001 (0.003) Loss 1.8182 (1.7621) Prec@1 63.281 (59.747) Prec@5 81.250 (81.457) Epoch: [50][1000/10010] Time 0.321 (0.327) Data 0.000 (0.003) Loss 1.8029 (1.7621) Prec@1 60.156 (59.745) Prec@5 80.469 (81.459) Epoch: [50][1010/10010] Time 0.321 (0.327) Data 0.001 (0.003) Loss 1.6212 (1.7616) Prec@1 64.844 (59.761) Prec@5 85.938 (81.462) Epoch: [50][1020/10010] Time 0.335 (0.327) Data 0.001 (0.003) Loss 1.7083 (1.7614) Prec@1 63.281 (59.760) Prec@5 79.688 (81.463) Epoch: [50][1030/10010] Time 0.320 (0.327) Data 0.001 (0.003) Loss 1.6542 (1.7609) Prec@1 63.281 (59.781) Prec@5 82.031 (81.465) Epoch: [50][1040/10010] Time 0.322 (0.327) Data 0.000 (0.003) Loss 1.7061 (1.7611) Prec@1 60.156 (59.762) Prec@5 83.594 (81.465) Epoch: [50][1050/10010] Time 0.327 (0.327) Data 0.001 (0.003) Loss 1.8083 (1.7609) Prec@1 52.344 (59.752) Prec@5 83.594 (81.469) Epoch: [50][1060/10010] Time 0.335 (0.327) Data 0.000 (0.003) Loss 1.4958 (1.7603) Prec@1 65.625 (59.761) Prec@5 84.375 (81.486) Epoch: [50][1070/10010] Time 0.333 (0.327) Data 0.001 (0.003) Loss 1.7209 (1.7607) Prec@1 58.594 (59.746) Prec@5 80.469 (81.481) Epoch: [50][1080/10010] Time 0.336 (0.327) Data 0.000 (0.003) Loss 1.7022 (1.7613) Prec@1 57.812 (59.743) Prec@5 81.250 (81.466) /data/vision/torralba/deepscene/lib/anaconda2/lib/python2.7/site-packages/PIL/TiffImagePlugin.py:692: UserWarning: Possibly corrupt EXIF data. Expecting to read 2555904 bytes but only got 0. Skipping tag 0 "Skipping tag %s" % (size, len(data), tag)) Epoch: [50][1090/10010] Time 0.320 (0.327) Data 0.000 (0.003) Loss 1.8184 (1.7600) Prec@1 59.375 (59.757) Prec@5 78.125 (81.481) Epoch: [50][1100/10010] Time 0.321 (0.327) Data 0.000 (0.003) Loss 1.6390 (1.7600) Prec@1 64.844 (59.745) Prec@5 85.156 (81.482) Epoch: [50][1110/10010] Time 0.324 (0.327) Data 0.000 (0.003) Loss 1.6232 (1.7597) Prec@1 67.188 (59.750) Prec@5 79.688 (81.488) Epoch: [50][1120/10010] Time 0.323 (0.327) Data 0.001 (0.003) Loss 1.6200 (1.7600) Prec@1 66.406 (59.751) Prec@5 84.375 (81.490) Epoch: [50][1130/10010] Time 0.317 (0.327) Data 0.001 (0.003) Loss 1.8764 (1.7598) Prec@1 62.500 (59.754) Prec@5 75.781 (81.492) Epoch: [50][1140/10010] Time 0.320 (0.327) Data 0.001 (0.003) Loss 1.8481 (1.7601) Prec@1 62.500 (59.745) Prec@5 78.125 (81.485) Epoch: [50][1150/10010] Time 0.320 (0.327) Data 0.001 (0.003) Loss 1.8735 (1.7603) Prec@1 58.594 (59.750) Prec@5 81.250 (81.486) Epoch: [50][1160/10010] Time 0.329 (0.327) Data 0.000 (0.003) Loss 1.9116 (1.7606) Prec@1 59.375 (59.748) Prec@5 76.562 (81.485) Epoch: [50][1170/10010] Time 0.336 (0.327) Data 0.000 (0.003) Loss 1.7209 (1.7605) Prec@1 56.250 (59.740) Prec@5 85.938 (81.497) Epoch: [50][1180/10010] Time 0.322 (0.327) Data 0.001 (0.002) Loss 1.8072 (1.7614) Prec@1 53.906 (59.708) Prec@5 80.469 (81.482) Epoch: [50][1190/10010] Time 0.324 (0.327) Data 0.001 (0.002) Loss 1.8364 (1.7621) Prec@1 59.375 (59.687) Prec@5 80.469 (81.474) Epoch: [50][1200/10010] Time 0.320 (0.327) Data 0.001 (0.002) Loss 1.7608 (1.7627) Prec@1 59.375 (59.674) Prec@5 77.344 (81.469) Epoch: [50][1210/10010] Time 0.337 (0.327) Data 0.001 (0.002) Loss 1.6740 (1.7628) Prec@1 61.719 (59.672) Prec@5 84.375 (81.462) Epoch: [50][1220/10010] Time 0.315 (0.327) Data 0.001 (0.002) Loss 2.0825 (1.7632) Prec@1 56.250 (59.669) Prec@5 76.562 (81.441) Epoch: [50][1230/10010] Time 0.325 (0.327) Data 0.001 (0.002) Loss 1.7259 (1.7641) Prec@1 60.938 (59.656) Prec@5 82.031 (81.424) Epoch: [50][1240/10010] Time 0.315 (0.327) Data 0.001 (0.002) Loss 1.8931 (1.7638) Prec@1 64.062 (59.680) Prec@5 78.125 (81.425) Epoch: [50][1250/10010] Time 0.321 (0.327) Data 0.000 (0.002) Loss 1.5989 (1.7639) Prec@1 63.281 (59.685) Prec@5 83.594 (81.419) Epoch: [50][1260/10010] Time 0.333 (0.327) Data 0.000 (0.002) Loss 1.9039 (1.7640) Prec@1 53.906 (59.692) Prec@5 78.906 (81.419) Epoch: [50][1270/10010] Time 0.323 (0.327) Data 0.001 (0.002) Loss 1.5774 (1.7640) Prec@1 61.719 (59.700) Prec@5 81.250 (81.414) Epoch: [50][1280/10010] Time 0.325 (0.327) Data 0.000 (0.002) Loss 1.8331 (1.7637) Prec@1 53.906 (59.706) Prec@5 79.688 (81.423) Epoch: [50][1290/10010] Time 0.333 (0.327) Data 0.001 (0.002) Loss 1.7897 (1.7642) Prec@1 64.062 (59.699) Prec@5 78.125 (81.409) Epoch: [50][1300/10010] Time 0.322 (0.327) Data 0.001 (0.002) Loss 1.7790 (1.7641) Prec@1 62.500 (59.697) Prec@5 80.469 (81.410) Epoch: [50][1310/10010] Time 0.315 (0.327) Data 0.001 (0.002) Loss 1.6883 (1.7643) Prec@1 64.844 (59.683) Prec@5 83.594 (81.408) Epoch: [50][1320/10010] Time 0.340 (0.327) Data 0.000 (0.002) Loss 1.7353 (1.7647) Prec@1 60.156 (59.671) Prec@5 85.938 (81.401) Epoch: [50][1330/10010] Time 0.333 (0.327) Data 0.001 (0.002) Loss 1.8173 (1.7650) Prec@1 60.938 (59.664) Prec@5 81.250 (81.398) Epoch: [50][1340/10010] Time 0.317 (0.327) Data 0.001 (0.002) Loss 1.7430 (1.7650) Prec@1 60.938 (59.659) Prec@5 81.250 (81.395) Epoch: [50][1350/10010] Time 0.319 (0.327) Data 0.001 (0.002) Loss 2.1932 (1.7659) Prec@1 53.125 (59.643) Prec@5 71.875 (81.384) Epoch: [50][1360/10010] Time 0.338 (0.327) Data 0.000 (0.002) Loss 1.7268 (1.7665) Prec@1 59.375 (59.625) Prec@5 79.688 (81.369) Epoch: [50][1370/10010] Time 0.328 (0.327) Data 0.001 (0.002) Loss 1.7578 (1.7664) Prec@1 61.719 (59.627) Prec@5 77.344 (81.362) Epoch: [50][1380/10010] Time 0.324 (0.327) Data 0.001 (0.002) Loss 1.7157 (1.7674) Prec@1 60.156 (59.604) Prec@5 83.594 (81.352) Epoch: [50][1390/10010] Time 0.328 (0.327) Data 0.000 (0.002) Loss 1.8165 (1.7669) Prec@1 57.031 (59.606) Prec@5 80.469 (81.357) Epoch: [50][1400/10010] Time 0.325 (0.327) Data 0.000 (0.002) Loss 1.5033 (1.7661) Prec@1 63.281 (59.624) Prec@5 86.719 (81.372) Epoch: [50][1410/10010] Time 0.338 (0.327) Data 0.001 (0.002) Loss 1.6649 (1.7667) Prec@1 64.844 (59.619) Prec@5 80.469 (81.359) Epoch: [50][1420/10010] Time 0.318 (0.327) Data 0.000 (0.002) Loss 1.5046 (1.7660) Prec@1 62.500 (59.638) Prec@5 84.375 (81.370) Epoch: [50][1430/10010] Time 0.318 (0.327) Data 0.001 (0.002) Loss 1.9133 (1.7665) Prec@1 57.812 (59.635) Prec@5 79.688 (81.366) Epoch: [50][1440/10010] Time 0.340 (0.327) Data 0.000 (0.002) Loss 1.5880 (1.7662) Prec@1 61.719 (59.634) Prec@5 84.375 (81.371) Epoch: [50][1450/10010] Time 0.331 (0.327) Data 0.001 (0.002) Loss 1.7606 (1.7658) Prec@1 60.156 (59.652) Prec@5 80.469 (81.380) Epoch: [50][1460/10010] Time 0.329 (0.327) Data 0.001 (0.002) Loss 1.6254 (1.7656) Prec@1 64.844 (59.659) Prec@5 82.812 (81.377) Epoch: [50][1470/10010] Time 0.338 (0.327) Data 0.001 (0.002) Loss 1.7409 (1.7655) Prec@1 60.156 (59.662) Prec@5 82.812 (81.376) Epoch: [50][1480/10010] Time 0.327 (0.327) Data 0.001 (0.002) Loss 1.6472 (1.7652) Prec@1 66.406 (59.676) Prec@5 85.938 (81.384) Epoch: [50][1490/10010] Time 0.334 (0.327) Data 0.001 (0.002) Loss 1.8819 (1.7657) Prec@1 57.031 (59.681) Prec@5 78.906 (81.378) Epoch: [50][1500/10010] Time 0.320 (0.327) Data 0.001 (0.002) Loss 1.7215 (1.7658) Prec@1 58.594 (59.679) Prec@5 85.156 (81.378) Epoch: [50][1510/10010] Time 0.318 (0.327) Data 0.001 (0.002) Loss 1.8480 (1.7661) Prec@1 60.938 (59.678) Prec@5 77.344 (81.368) Epoch: [50][1520/10010] Time 0.329 (0.327) Data 0.000 (0.002) Loss 1.7396 (1.7657) Prec@1 57.031 (59.679) Prec@5 81.250 (81.375) Epoch: [50][1530/10010] Time 0.334 (0.327) Data 0.001 (0.002) Loss 1.7553 (1.7656) Prec@1 63.281 (59.686) Prec@5 82.031 (81.379) Epoch: [50][1540/10010] Time 0.320 (0.327) Data 0.001 (0.002) Loss 1.7901 (1.7655) Prec@1 56.250 (59.687) Prec@5 83.594 (81.382) Epoch: [50][1550/10010] Time 0.331 (0.327) Data 0.001 (0.002) Loss 1.8152 (1.7653) Prec@1 56.250 (59.691) Prec@5 79.688 (81.391) Epoch: [50][1560/10010] Time 0.341 (0.327) Data 0.000 (0.002) Loss 1.8410 (1.7650) Prec@1 60.156 (59.693) Prec@5 81.250 (81.398) Epoch: [50][1570/10010] Time 0.335 (0.327) Data 0.000 (0.002) Loss 1.8419 (1.7657) Prec@1 60.938 (59.691) Prec@5 81.250 (81.384) Epoch: [50][1580/10010] Time 0.335 (0.327) Data 0.001 (0.002) Loss 1.6624 (1.7654) Prec@1 65.625 (59.693) Prec@5 82.031 (81.386) Epoch: [50][1590/10010] Time 0.311 (0.327) Data 0.001 (0.002) Loss 1.7402 (1.7655) Prec@1 60.938 (59.683) Prec@5 82.812 (81.382) Epoch: [50][1600/10010] Time 0.321 (0.327) Data 0.000 (0.002) Loss 1.7979 (1.7652) Prec@1 60.938 (59.692) Prec@5 83.594 (81.390) Epoch: [50][1610/10010] Time 0.329 (0.327) Data 0.001 (0.002) Loss 1.8675 (1.7654) Prec@1 57.812 (59.690) Prec@5 79.688 (81.392) Epoch: [50][1620/10010] Time 0.322 (0.327) Data 0.000 (0.002) Loss 1.6672 (1.7652) Prec@1 62.500 (59.692) Prec@5 79.688 (81.398) Epoch: [50][1630/10010] Time 0.320 (0.327) Data 0.001 (0.002) Loss 1.6146 (1.7651) Prec@1 62.500 (59.699) Prec@5 88.281 (81.403) Epoch: [50][1640/10010] Time 0.335 (0.327) Data 0.001 (0.002) Loss 1.8345 (1.7652) Prec@1 53.906 (59.695) Prec@5 77.344 (81.393) Epoch: [50][1650/10010] Time 0.321 (0.327) Data 0.000 (0.002) Loss 1.7386 (1.7661) Prec@1 62.500 (59.680) Prec@5 81.250 (81.381) Epoch: [50][1660/10010] Time 0.328 (0.327) Data 0.001 (0.002) Loss 1.6576 (1.7663) Prec@1 60.938 (59.676) Prec@5 80.469 (81.375) Epoch: [50][1670/10010] Time 0.334 (0.327) Data 0.001 (0.002) Loss 1.7320 (1.7657) Prec@1 58.594 (59.685) Prec@5 81.250 (81.387) Epoch: [50][1680/10010] Time 0.334 (0.327) Data 0.001 (0.002) Loss 2.1845 (1.7663) Prec@1 46.875 (59.679) Prec@5 72.656 (81.377) Epoch: [50][1690/10010] Time 0.333 (0.327) Data 0.001 (0.002) Loss 1.7747 (1.7663) Prec@1 58.594 (59.681) Prec@5 83.594 (81.379) Epoch: [50][1700/10010] Time 0.329 (0.327) Data 0.000 (0.002) Loss 1.7298 (1.7663) Prec@1 60.156 (59.677) Prec@5 81.250 (81.377) Epoch: [50][1710/10010] Time 0.316 (0.327) Data 0.001 (0.002) Loss 1.8491 (1.7666) Prec@1 59.375 (59.675) Prec@5 82.812 (81.372) Epoch: [50][1720/10010] Time 0.315 (0.327) Data 0.001 (0.002) Loss 1.7486 (1.7670) Prec@1 62.500 (59.677) Prec@5 82.031 (81.363) Epoch: [50][1730/10010] Time 0.318 (0.327) Data 0.001 (0.002) Loss 1.3142 (1.7669) Prec@1 70.312 (59.679) Prec@5 87.500 (81.363) Epoch: [50][1740/10010] Time 0.318 (0.327) Data 0.000 (0.002) Loss 1.5097 (1.7666) Prec@1 64.062 (59.684) Prec@5 86.719 (81.369) Epoch: [50][1750/10010] Time 0.331 (0.327) Data 0.001 (0.002) Loss 1.7247 (1.7664) Prec@1 62.500 (59.690) Prec@5 78.906 (81.367) Epoch: [50][1760/10010] Time 0.320 (0.327) Data 0.000 (0.002) Loss 1.3623 (1.7661) Prec@1 63.281 (59.694) Prec@5 85.938 (81.373) Epoch: [50][1770/10010] Time 0.335 (0.327) Data 0.000 (0.002) Loss 1.7037 (1.7668) Prec@1 60.156 (59.679) Prec@5 78.906 (81.366) Epoch: [50][1780/10010] Time 0.330 (0.327) Data 0.001 (0.002) Loss 1.8127 (1.7668) Prec@1 61.719 (59.679) Prec@5 82.031 (81.365) Epoch: [50][1790/10010] Time 0.337 (0.327) Data 0.000 (0.002) Loss 1.9343 (1.7662) Prec@1 59.375 (59.693) Prec@5 77.344 (81.375) Epoch: [50][1800/10010] Time 0.331 (0.327) Data 0.000 (0.002) Loss 1.6813 (1.7666) Prec@1 60.156 (59.685) Prec@5 82.031 (81.365) Epoch: [50][1810/10010] Time 0.335 (0.327) Data 0.000 (0.002) Loss 1.7920 (1.7671) Prec@1 57.031 (59.679) Prec@5 82.031 (81.358) Epoch: [50][1820/10010] Time 0.330 (0.327) Data 0.000 (0.002) Loss 1.4725 (1.7672) Prec@1 65.625 (59.681) Prec@5 84.375 (81.347) Epoch: [50][1830/10010] Time 0.334 (0.327) Data 0.001 (0.002) Loss 1.7392 (1.7676) Prec@1 58.594 (59.670) Prec@5 85.156 (81.336) Epoch: [50][1840/10010] Time 0.339 (0.327) Data 0.001 (0.002) Loss 1.9743 (1.7677) Prec@1 54.688 (59.672) Prec@5 72.656 (81.331) Epoch: [50][1850/10010] Time 0.337 (0.327) Data 0.001 (0.002) Loss 1.4780 (1.7673) Prec@1 67.188 (59.681) Prec@5 85.938 (81.333) Epoch: [50][1860/10010] Time 0.339 (0.327) Data 0.001 (0.002) Loss 1.9260 (1.7673) Prec@1 55.469 (59.684) Prec@5 79.688 (81.334) Epoch: [50][1870/10010] Time 0.324 (0.327) Data 0.001 (0.002) Loss 1.9070 (1.7673) Prec@1 57.031 (59.679) Prec@5 81.250 (81.339) Epoch: [50][1880/10010] Time 0.318 (0.327) Data 0.001 (0.002) Loss 1.9608 (1.7677) Prec@1 54.688 (59.671) Prec@5 78.125 (81.329) Epoch: [50][1890/10010] Time 0.339 (0.327) Data 0.001 (0.002) Loss 1.8060 (1.7675) Prec@1 62.500 (59.684) Prec@5 82.031 (81.333) Epoch: [50][1900/10010] Time 0.339 (0.327) Data 0.001 (0.002) Loss 1.8129 (1.7674) Prec@1 54.688 (59.682) Prec@5 81.250 (81.339) Epoch: [50][1910/10010] Time 0.338 (0.327) Data 0.001 (0.002) Loss 1.6624 (1.7682) Prec@1 56.250 (59.666) Prec@5 80.469 (81.321) Epoch: [50][1920/10010] Time 0.334 (0.327) Data 0.001 (0.002) Loss 1.5168 (1.7677) Prec@1 62.500 (59.676) Prec@5 83.594 (81.330) Epoch: [50][1930/10010] Time 0.333 (0.327) Data 0.001 (0.002) Loss 1.6266 (1.7674) Prec@1 57.031 (59.676) Prec@5 89.062 (81.335) Epoch: [50][1940/10010] Time 0.339 (0.327) Data 0.000 (0.002) Loss 1.6534 (1.7678) Prec@1 64.844 (59.668) Prec@5 82.812 (81.330) Epoch: [50][1950/10010] Time 0.326 (0.327) Data 0.001 (0.002) Loss 1.8101 (1.7682) Prec@1 61.719 (59.657) Prec@5 82.812 (81.324) Epoch: [50][1960/10010] Time 0.343 (0.327) Data 0.001 (0.002) Loss 1.4849 (1.7680) Prec@1 58.594 (59.656) Prec@5 85.938 (81.330) Epoch: [50][1970/10010] Time 0.318 (0.327) Data 0.001 (0.002) Loss 1.6256 (1.7678) Prec@1 59.375 (59.664) Prec@5 87.500 (81.331) Epoch: [50][1980/10010] Time 0.338 (0.327) Data 0.000 (0.002) Loss 1.8915 (1.7683) Prec@1 54.688 (59.652) Prec@5 83.594 (81.327) Epoch: [50][1990/10010] Time 0.334 (0.328) Data 0.001 (0.002) Loss 1.6425 (1.7682) Prec@1 66.406 (59.652) Prec@5 84.375 (81.333) Epoch: [50][2000/10010] Time 0.336 (0.328) Data 0.001 (0.002) Loss 1.8604 (1.7683) Prec@1 64.062 (59.647) Prec@5 80.469 (81.332) Epoch: [50][2010/10010] Time 0.314 (0.328) Data 0.001 (0.002) Loss 1.8367 (1.7682) Prec@1 61.719 (59.648) Prec@5 82.812 (81.332) Epoch: [50][2020/10010] Time 0.318 (0.328) Data 0.001 (0.002) Loss 1.5123 (1.7678) Prec@1 64.062 (59.657) Prec@5 82.812 (81.339) Epoch: [50][2030/10010] Time 0.312 (0.328) Data 0.001 (0.002) Loss 1.7821 (1.7680) Prec@1 60.156 (59.651) Prec@5 83.594 (81.333) Epoch: [50][2040/10010] Time 0.336 (0.328) Data 0.001 (0.002) Loss 1.7080 (1.7676) Prec@1 61.719 (59.659) Prec@5 82.812 (81.338) Epoch: [50][2050/10010] Time 0.333 (0.328) Data 0.001 (0.002) Loss 1.6862 (1.7671) Prec@1 58.594 (59.669) Prec@5 83.594 (81.344) Epoch: [50][2060/10010] Time 0.336 (0.328) Data 0.001 (0.002) Loss 1.5402 (1.7669) Prec@1 64.062 (59.670) Prec@5 85.156 (81.343) Epoch: [50][2070/10010] Time 0.335 (0.328) Data 0.001 (0.002) Loss 1.8174 (1.7666) Prec@1 58.594 (59.674) Prec@5 81.250 (81.353) Epoch: [50][2080/10010] Time 0.336 (0.328) Data 0.001 (0.002) Loss 1.9618 (1.7667) Prec@1 54.688 (59.675) Prec@5 78.906 (81.352) Epoch: [50][2090/10010] Time 0.332 (0.328) Data 0.001 (0.002) Loss 2.0799 (1.7668) Prec@1 52.344 (59.676) Prec@5 75.000 (81.355) Epoch: [50][2100/10010] Time 0.320 (0.328) Data 0.001 (0.002) Loss 1.6753 (1.7666) Prec@1 61.719 (59.679) Prec@5 79.688 (81.359) Epoch: [50][2110/10010] Time 0.326 (0.328) Data 0.001 (0.002) Loss 1.6267 (1.7663) Prec@1 58.594 (59.674) Prec@5 86.719 (81.366) Epoch: [50][2120/10010] Time 0.341 (0.328) Data 0.001 (0.002) Loss 2.1160 (1.7668) Prec@1 55.469 (59.673) Prec@5 74.219 (81.361) Epoch: [50][2130/10010] Time 0.331 (0.328) Data 0.001 (0.002) Loss 1.3902 (1.7667) Prec@1 64.062 (59.673) Prec@5 88.281 (81.361) Epoch: [50][2140/10010] Time 0.314 (0.328) Data 0.001 (0.002) Loss 1.7331 (1.7667) Prec@1 62.500 (59.676) Prec@5 82.812 (81.362) Epoch: [50][2150/10010] Time 0.324 (0.328) Data 0.001 (0.002) Loss 1.7865 (1.7666) Prec@1 58.594 (59.677) Prec@5 82.812 (81.362) Epoch: [50][2160/10010] Time 0.327 (0.328) Data 0.001 (0.002) Loss 1.5804 (1.7665) Prec@1 60.156 (59.678) Prec@5 80.469 (81.361) Epoch: [50][2170/10010] Time 0.323 (0.328) Data 0.001 (0.002) Loss 2.1366 (1.7665) Prec@1 58.594 (59.674) Prec@5 75.781 (81.361) Epoch: [50][2180/10010] Time 0.333 (0.328) Data 0.001 (0.002) Loss 1.6567 (1.7667) Prec@1 61.719 (59.675) Prec@5 86.719 (81.359) Epoch: [50][2190/10010] Time 0.332 (0.328) Data 0.000 (0.002) Loss 1.8254 (1.7664) Prec@1 57.031 (59.678) Prec@5 82.031 (81.364) Epoch: [50][2200/10010] Time 0.341 (0.328) Data 0.001 (0.002) Loss 1.4788 (1.7664) Prec@1 64.844 (59.680) Prec@5 82.812 (81.367) Epoch: [50][2210/10010] Time 0.320 (0.328) Data 0.001 (0.002) Loss 1.8987 (1.7662) Prec@1 55.469 (59.686) Prec@5 77.344 (81.372) Epoch: [50][2220/10010] Time 0.337 (0.328) Data 0.001 (0.002) Loss 1.8152 (1.7664) Prec@1 60.156 (59.683) Prec@5 79.688 (81.368) Epoch: [50][2230/10010] Time 0.338 (0.328) Data 0.001 (0.002) Loss 1.6684 (1.7662) Prec@1 57.812 (59.692) Prec@5 82.031 (81.369) Epoch: [50][2240/10010] Time 0.333 (0.328) Data 0.001 (0.002) Loss 1.6033 (1.7666) Prec@1 58.594 (59.685) Prec@5 82.031 (81.364) Epoch: [50][2250/10010] Time 0.333 (0.328) Data 0.001 (0.002) Loss 1.9045 (1.7667) Prec@1 54.688 (59.679) Prec@5 78.125 (81.360) Epoch: [50][2260/10010] Time 0.337 (0.328) Data 0.001 (0.002) Loss 1.8385 (1.7669) Prec@1 57.812 (59.675) Prec@5 82.812 (81.364) Epoch: [50][2270/10010] Time 0.323 (0.328) Data 0.000 (0.002) Loss 2.0035 (1.7670) Prec@1 53.906 (59.677) Prec@5 80.469 (81.365) Epoch: [50][2280/10010] Time 0.328 (0.328) Data 0.001 (0.002) Loss 1.7525 (1.7670) Prec@1 56.250 (59.673) Prec@5 83.594 (81.365) Epoch: [50][2290/10010] Time 0.326 (0.328) Data 0.001 (0.002) Loss 1.8854 (1.7666) Prec@1 58.594 (59.675) Prec@5 77.344 (81.375) Epoch: [50][2300/10010] Time 0.340 (0.328) Data 0.001 (0.002) Loss 1.7934 (1.7666) Prec@1 58.594 (59.673) Prec@5 76.562 (81.371) Epoch: [50][2310/10010] Time 0.329 (0.328) Data 0.001 (0.002) Loss 1.7624 (1.7663) Prec@1 60.938 (59.676) Prec@5 83.594 (81.374) Epoch: [50][2320/10010] Time 0.337 (0.328) Data 0.000 (0.002) Loss 1.7836 (1.7659) Prec@1 60.938 (59.678) Prec@5 82.031 (81.379) Epoch: [50][2330/10010] Time 0.318 (0.328) Data 0.001 (0.002) Loss 1.8375 (1.7656) Prec@1 57.812 (59.682) Prec@5 80.469 (81.381) Epoch: [50][2340/10010] Time 0.318 (0.328) Data 0.001 (0.002) Loss 1.7863 (1.7660) Prec@1 58.594 (59.676) Prec@5 81.250 (81.375) Epoch: [50][2350/10010] Time 0.322 (0.328) Data 0.001 (0.002) Loss 1.7239 (1.7660) Prec@1 60.938 (59.675) Prec@5 82.812 (81.379) Epoch: [50][2360/10010] Time 0.322 (0.328) Data 0.001 (0.002) Loss 1.2460 (1.7658) Prec@1 72.656 (59.684) Prec@5 86.719 (81.382) Epoch: [50][2370/10010] Time 0.342 (0.328) Data 0.001 (0.002) Loss 1.7573 (1.7657) Prec@1 58.594 (59.683) Prec@5 78.906 (81.381) Epoch: [50][2380/10010] Time 0.319 (0.328) Data 0.001 (0.002) Loss 1.5599 (1.7655) Prec@1 69.531 (59.687) Prec@5 82.031 (81.380) Epoch: [50][2390/10010] Time 0.334 (0.328) Data 0.001 (0.002) Loss 1.6850 (1.7653) Prec@1 56.250 (59.686) Prec@5 85.156 (81.384) Epoch: [50][2400/10010] Time 0.325 (0.328) Data 0.000 (0.002) Loss 1.7095 (1.7653) Prec@1 60.938 (59.686) Prec@5 84.375 (81.387) Epoch: [50][2410/10010] Time 0.321 (0.328) Data 0.001 (0.002) Loss 1.9269 (1.7654) Prec@1 58.594 (59.684) Prec@5 78.906 (81.384) Epoch: [50][2420/10010] Time 0.334 (0.328) Data 0.001 (0.002) Loss 1.7546 (1.7655) Prec@1 59.375 (59.683) Prec@5 82.031 (81.382) /data/vision/torralba/deepscene/lib/anaconda2/lib/python2.7/site-packages/PIL/TiffImagePlugin.py:692: UserWarning: Possibly corrupt EXIF data. Expecting to read 2555904 bytes but only got 0. Skipping tag 0 "Skipping tag %s" % (size, len(data), tag)) Epoch: [50][2430/10010] Time 0.313 (0.328) Data 0.001 (0.002) Loss 1.4572 (1.7654) Prec@1 66.406 (59.689) Prec@5 85.938 (81.382) Epoch: [50][2440/10010] Time 0.319 (0.328) Data 0.001 (0.002) Loss 1.5748 (1.7658) Prec@1 65.625 (59.682) Prec@5 83.594 (81.376) Epoch: [50][2450/10010] Time 0.325 (0.328) Data 0.001 (0.002) Loss 2.1899 (1.7659) Prec@1 53.125 (59.682) Prec@5 75.000 (81.377) Epoch: [50][2460/10010] Time 0.334 (0.328) Data 0.000 (0.002) Loss 2.1140 (1.7658) Prec@1 49.219 (59.684) Prec@5 73.438 (81.378) Epoch: [50][2470/10010] Time 0.321 (0.328) Data 0.001 (0.002) Loss 2.1079 (1.7657) Prec@1 53.906 (59.685) Prec@5 78.906 (81.380) Epoch: [50][2480/10010] Time 0.322 (0.328) Data 0.000 (0.002) Loss 1.8482 (1.7652) Prec@1 59.375 (59.698) Prec@5 81.250 (81.383) Epoch: [50][2490/10010] Time 0.332 (0.328) Data 0.000 (0.002) Loss 1.7116 (1.7650) Prec@1 64.844 (59.703) Prec@5 78.906 (81.386) Epoch: [50][2500/10010] Time 0.317 (0.328) Data 0.001 (0.002) Loss 1.5894 (1.7644) Prec@1 60.938 (59.710) Prec@5 85.938 (81.397) Epoch: [50][2510/10010] Time 0.318 (0.328) Data 0.001 (0.002) Loss 1.7918 (1.7642) Prec@1 57.812 (59.711) Prec@5 80.469 (81.399) Epoch: [50][2520/10010] Time 0.329 (0.328) Data 0.001 (0.002) Loss 1.9852 (1.7644) Prec@1 55.469 (59.712) Prec@5 78.906 (81.398) Epoch: [50][2530/10010] Time 0.318 (0.328) Data 0.001 (0.002) Loss 1.5363 (1.7643) Prec@1 65.625 (59.715) Prec@5 82.812 (81.399) Epoch: [50][2540/10010] Time 0.341 (0.328) Data 0.000 (0.002) Loss 1.4419 (1.7642) Prec@1 64.062 (59.715) Prec@5 85.938 (81.401) Epoch: [50][2550/10010] Time 0.334 (0.328) Data 0.001 (0.002) Loss 1.4346 (1.7642) Prec@1 67.188 (59.709) Prec@5 85.938 (81.401) Epoch: [50][2560/10010] Time 0.332 (0.328) Data 0.001 (0.002) Loss 1.7456 (1.7639) Prec@1 64.844 (59.720) Prec@5 82.031 (81.406) Epoch: [50][2570/10010] Time 0.326 (0.328) Data 0.001 (0.002) Loss 1.6939 (1.7640) Prec@1 62.500 (59.723) Prec@5 81.250 (81.405) Epoch: [50][2580/10010] Time 0.316 (0.328) Data 0.001 (0.002) Loss 1.5157 (1.7639) Prec@1 65.625 (59.724) Prec@5 85.938 (81.409) Epoch: [50][2590/10010] Time 0.334 (0.328) Data 0.001 (0.002) Loss 2.0473 (1.7637) Prec@1 51.562 (59.727) Prec@5 79.688 (81.413) Epoch: [50][2600/10010] Time 0.316 (0.328) Data 0.000 (0.002) Loss 2.1167 (1.7642) Prec@1 51.562 (59.715) Prec@5 79.688 (81.409) Epoch: [50][2610/10010] Time 0.330 (0.328) Data 0.001 (0.002) Loss 2.0993 (1.7644) Prec@1 50.781 (59.712) Prec@5 77.344 (81.407) Epoch: [50][2620/10010] Time 0.320 (0.328) Data 0.000 (0.002) Loss 1.8453 (1.7646) Prec@1 59.375 (59.709) Prec@5 79.688 (81.408) Epoch: [50][2630/10010] Time 0.337 (0.328) Data 0.001 (0.001) Loss 2.0185 (1.7647) Prec@1 55.469 (59.705) Prec@5 77.344 (81.408) Epoch: [50][2640/10010] Time 0.314 (0.328) Data 0.001 (0.001) Loss 2.0905 (1.7648) Prec@1 57.031 (59.699) Prec@5 78.125 (81.403) Epoch: [50][2650/10010] Time 0.322 (0.328) Data 0.001 (0.001) Loss 1.5942 (1.7649) Prec@1 66.406 (59.704) Prec@5 83.594 (81.400) Epoch: [50][2660/10010] Time 0.313 (0.328) Data 0.000 (0.001) Loss 1.8966 (1.7648) Prec@1 56.250 (59.708) Prec@5 81.250 (81.401) Epoch: [50][2670/10010] Time 0.331 (0.328) Data 0.001 (0.001) Loss 1.8515 (1.7647) Prec@1 57.031 (59.707) Prec@5 82.031 (81.403) Epoch: [50][2680/10010] Time 0.324 (0.328) Data 0.000 (0.001) Loss 1.8147 (1.7649) Prec@1 57.031 (59.703) Prec@5 78.906 (81.398) Epoch: [50][2690/10010] Time 0.328 (0.328) Data 0.000 (0.001) Loss 1.5553 (1.7651) Prec@1 64.062 (59.702) Prec@5 89.062 (81.397) Epoch: [50][2700/10010] Time 0.317 (0.328) Data 0.001 (0.001) Loss 2.0975 (1.7658) Prec@1 57.812 (59.692) Prec@5 75.781 (81.386) Epoch: [50][2710/10010] Time 0.340 (0.328) Data 0.000 (0.001) Loss 1.7569 (1.7657) Prec@1 58.594 (59.695) Prec@5 77.344 (81.389) Epoch: [50][2720/10010] Time 0.326 (0.328) Data 0.000 (0.001) Loss 1.3974 (1.7655) Prec@1 64.844 (59.699) Prec@5 88.281 (81.394) Epoch: [50][2730/10010] Time 0.318 (0.328) Data 0.000 (0.001) Loss 1.8324 (1.7654) Prec@1 59.375 (59.702) Prec@5 80.469 (81.398) Epoch: [50][2740/10010] Time 0.321 (0.328) Data 0.001 (0.001) Loss 1.7685 (1.7653) Prec@1 62.500 (59.703) Prec@5 81.250 (81.403) Epoch: [50][2750/10010] Time 0.321 (0.328) Data 0.000 (0.001) Loss 1.4795 (1.7651) Prec@1 64.844 (59.705) Prec@5 86.719 (81.404) Epoch: [50][2760/10010] Time 0.324 (0.328) Data 0.001 (0.001) Loss 1.5308 (1.7652) Prec@1 63.281 (59.703) Prec@5 85.156 (81.405) Epoch: [50][2770/10010] Time 0.322 (0.328) Data 0.001 (0.001) Loss 1.8555 (1.7653) Prec@1 56.250 (59.701) Prec@5 83.594 (81.403) Epoch: [50][2780/10010] Time 0.323 (0.328) Data 0.000 (0.001) Loss 1.7964 (1.7658) Prec@1 60.156 (59.698) Prec@5 82.031 (81.397) Epoch: [50][2790/10010] Time 0.325 (0.328) Data 0.000 (0.001) Loss 1.6458 (1.7661) Prec@1 62.500 (59.688) Prec@5 84.375 (81.397) Epoch: [50][2800/10010] Time 0.334 (0.328) Data 0.004 (0.001) Loss 1.8338 (1.7661) Prec@1 57.031 (59.692) Prec@5 82.031 (81.402) Epoch: [50][2810/10010] Time 0.327 (0.328) Data 0.001 (0.001) Loss 1.8811 (1.7660) Prec@1 57.812 (59.701) Prec@5 78.906 (81.405) Epoch: [50][2820/10010] Time 0.340 (0.328) Data 0.001 (0.001) Loss 1.6388 (1.7662) Prec@1 64.844 (59.697) Prec@5 80.469 (81.398) Epoch: [50][2830/10010] Time 0.319 (0.328) Data 0.001 (0.001) Loss 1.7874 (1.7664) Prec@1 57.031 (59.690) Prec@5 78.125 (81.390) Epoch: [50][2840/10010] Time 0.321 (0.328) Data 0.001 (0.001) Loss 1.7256 (1.7663) Prec@1 58.594 (59.689) Prec@5 82.812 (81.396) Epoch: [50][2850/10010] Time 0.321 (0.327) Data 0.000 (0.001) Loss 1.6117 (1.7663) Prec@1 70.312 (59.695) Prec@5 84.375 (81.398) Epoch: [50][2860/10010] Time 0.328 (0.327) Data 0.000 (0.001) Loss 1.8922 (1.7666) Prec@1 60.938 (59.690) Prec@5 80.469 (81.393) Epoch: [50][2870/10010] Time 0.329 (0.327) Data 0.001 (0.001) Loss 2.0690 (1.7665) Prec@1 55.469 (59.695) Prec@5 78.125 (81.396) Epoch: [50][2880/10010] Time 0.320 (0.327) Data 0.001 (0.001) Loss 1.5187 (1.7664) Prec@1 66.406 (59.697) Prec@5 81.250 (81.399) Epoch: [50][2890/10010] Time 0.333 (0.327) Data 0.000 (0.001) Loss 1.7642 (1.7665) Prec@1 60.938 (59.697) Prec@5 80.469 (81.401) Epoch: [50][2900/10010] Time 0.326 (0.327) Data 0.000 (0.001) Loss 1.6087 (1.7666) Prec@1 62.500 (59.697) Prec@5 82.812 (81.398) Epoch: [50][2910/10010] Time 0.338 (0.327) Data 0.000 (0.001) Loss 1.8415 (1.7666) Prec@1 56.250 (59.692) Prec@5 80.469 (81.394) Epoch: [50][2920/10010] Time 0.321 (0.327) Data 0.000 (0.001) Loss 1.8947 (1.7668) Prec@1 52.344 (59.688) Prec@5 78.125 (81.389) Epoch: [50][2930/10010] Time 0.314 (0.327) Data 0.001 (0.001) Loss 1.6673 (1.7668) Prec@1 61.719 (59.680) Prec@5 83.594 (81.391) Epoch: [50][2940/10010] Time 0.310 (0.327) Data 0.001 (0.001) Loss 1.6160 (1.7669) Prec@1 61.719 (59.674) Prec@5 86.719 (81.390) Epoch: [50][2950/10010] Time 0.321 (0.327) Data 0.001 (0.001) Loss 1.5319 (1.7667) Prec@1 63.281 (59.679) Prec@5 85.938 (81.394) Epoch: [50][2960/10010] Time 0.338 (0.327) Data 0.001 (0.001) Loss 1.7632 (1.7667) Prec@1 60.938 (59.676) Prec@5 79.688 (81.393) Epoch: [50][2970/10010] Time 0.332 (0.327) Data 0.001 (0.001) Loss 2.1602 (1.7665) Prec@1 50.000 (59.677) Prec@5 74.219 (81.397) Epoch: [50][2980/10010] Time 0.339 (0.327) Data 0.001 (0.001) Loss 1.9944 (1.7665) Prec@1 54.688 (59.675) Prec@5 76.562 (81.395) Epoch: [50][2990/10010] Time 0.336 (0.327) Data 0.001 (0.001) Loss 1.9051 (1.7668) Prec@1 60.938 (59.669) Prec@5 81.250 (81.389) Epoch: [50][3000/10010] Time 0.333 (0.327) Data 0.001 (0.001) Loss 1.8178 (1.7670) Prec@1 59.375 (59.662) Prec@5 81.250 (81.387) Epoch: [50][3010/10010] Time 0.335 (0.327) Data 0.001 (0.001) Loss 1.7072 (1.7668) Prec@1 61.719 (59.664) Prec@5 83.594 (81.391) Epoch: [50][3020/10010] Time 0.329 (0.327) Data 0.001 (0.001) Loss 1.9423 (1.7670) Prec@1 57.812 (59.661) Prec@5 78.906 (81.389) Epoch: [50][3030/10010] Time 0.331 (0.327) Data 0.001 (0.001) Loss 1.9149 (1.7669) Prec@1 60.938 (59.662) Prec@5 78.906 (81.390) Epoch: [50][3040/10010] Time 0.319 (0.327) Data 0.001 (0.001) Loss 2.1605 (1.7669) Prec@1 57.812 (59.662) Prec@5 78.125 (81.388) Epoch: [50][3050/10010] Time 0.320 (0.327) Data 0.001 (0.001) Loss 1.7031 (1.7667) Prec@1 59.375 (59.664) Prec@5 82.031 (81.390) Epoch: [50][3060/10010] Time 0.318 (0.327) Data 0.001 (0.001) Loss 1.6838 (1.7669) Prec@1 59.375 (59.655) Prec@5 82.812 (81.385) Epoch: [50][3070/10010] Time 0.317 (0.327) Data 0.001 (0.001) Loss 1.5854 (1.7668) Prec@1 61.719 (59.657) Prec@5 82.031 (81.383) Epoch: [50][3080/10010] Time 0.332 (0.327) Data 0.001 (0.001) Loss 1.8444 (1.7665) Prec@1 58.594 (59.665) Prec@5 79.688 (81.385) Epoch: [50][3090/10010] Time 0.335 (0.327) Data 0.000 (0.001) Loss 1.7835 (1.7667) Prec@1 57.031 (59.659) Prec@5 78.906 (81.377) Epoch: [50][3100/10010] Time 0.338 (0.327) Data 0.001 (0.001) Loss 1.7800 (1.7665) Prec@1 60.156 (59.662) Prec@5 80.469 (81.382) Epoch: [50][3110/10010] Time 0.326 (0.327) Data 0.001 (0.001) Loss 1.6644 (1.7668) Prec@1 61.719 (59.660) Prec@5 82.031 (81.378) Epoch: [50][3120/10010] Time 0.338 (0.327) Data 0.001 (0.001) Loss 1.8592 (1.7669) Prec@1 57.812 (59.658) Prec@5 80.469 (81.377) Epoch: [50][3130/10010] Time 0.314 (0.327) Data 0.001 (0.001) Loss 1.6865 (1.7667) Prec@1 61.719 (59.664) Prec@5 82.812 (81.383) Epoch: [50][3140/10010] Time 0.343 (0.327) Data 0.001 (0.001) Loss 2.0384 (1.7670) Prec@1 57.812 (59.661) Prec@5 75.781 (81.377) Epoch: [50][3150/10010] Time 0.310 (0.327) Data 0.001 (0.001) Loss 1.8547 (1.7673) Prec@1 60.938 (59.659) Prec@5 77.344 (81.370) Epoch: [50][3160/10010] Time 0.316 (0.327) Data 0.001 (0.001) Loss 1.6399 (1.7672) Prec@1 64.844 (59.660) Prec@5 82.812 (81.372) Epoch: [50][3170/10010] Time 0.336 (0.327) Data 0.001 (0.001) Loss 1.9081 (1.7675) Prec@1 57.031 (59.658) Prec@5 78.906 (81.369) Epoch: [50][3180/10010] Time 0.324 (0.327) Data 0.001 (0.001) Loss 2.0117 (1.7674) Prec@1 57.812 (59.664) Prec@5 78.125 (81.370) Epoch: [50][3190/10010] Time 0.340 (0.327) Data 0.000 (0.001) Loss 1.8097 (1.7673) Prec@1 57.812 (59.669) Prec@5 78.906 (81.371) Epoch: [50][3200/10010] Time 0.323 (0.327) Data 0.001 (0.001) Loss 1.6780 (1.7675) Prec@1 62.500 (59.666) Prec@5 86.719 (81.371) Epoch: [50][3210/10010] Time 0.331 (0.327) Data 0.001 (0.001) Loss 2.0089 (1.7676) Prec@1 53.906 (59.666) Prec@5 77.344 (81.371) Epoch: [50][3220/10010] Time 0.317 (0.327) Data 0.001 (0.001) Loss 1.7912 (1.7677) Prec@1 57.812 (59.661) Prec@5 82.031 (81.370) Epoch: [50][3230/10010] Time 0.340 (0.327) Data 0.001 (0.001) Loss 2.0744 (1.7676) Prec@1 53.906 (59.660) Prec@5 77.344 (81.373) Epoch: [50][3240/10010] Time 0.316 (0.327) Data 0.001 (0.001) Loss 1.6172 (1.7675) Prec@1 60.156 (59.661) Prec@5 83.594 (81.374) Epoch: [50][3250/10010] Time 0.315 (0.327) Data 0.000 (0.001) Loss 1.7759 (1.7675) Prec@1 56.250 (59.662) Prec@5 82.031 (81.375) Epoch: [50][3260/10010] Time 0.323 (0.327) Data 0.001 (0.001) Loss 1.8229 (1.7673) Prec@1 57.812 (59.666) Prec@5 82.812 (81.383) Epoch: [50][3270/10010] Time 0.331 (0.327) Data 0.001 (0.001) Loss 1.8593 (1.7671) Prec@1 53.906 (59.671) Prec@5 78.125 (81.387) Epoch: [50][3280/10010] Time 0.337 (0.327) Data 0.001 (0.001) Loss 1.7194 (1.7669) Prec@1 59.375 (59.672) Prec@5 81.250 (81.389) Epoch: [50][3290/10010] Time 0.341 (0.327) Data 0.000 (0.001) Loss 1.8930 (1.7670) Prec@1 55.469 (59.668) Prec@5 81.250 (81.388) Epoch: [50][3300/10010] Time 0.324 (0.327) Data 0.000 (0.001) Loss 1.4382 (1.7670) Prec@1 63.281 (59.670) Prec@5 85.938 (81.390) Epoch: [50][3310/10010] Time 0.312 (0.327) Data 0.001 (0.001) Loss 1.7535 (1.7669) Prec@1 62.500 (59.673) Prec@5 82.812 (81.390) Epoch: [50][3320/10010] Time 0.336 (0.327) Data 0.001 (0.001) Loss 2.1005 (1.7669) Prec@1 53.125 (59.677) Prec@5 76.562 (81.389) Epoch: [50][3330/10010] Time 0.320 (0.327) Data 0.001 (0.001) Loss 1.6315 (1.7668) Prec@1 63.281 (59.682) Prec@5 86.719 (81.394) Epoch: [50][3340/10010] Time 0.338 (0.327) Data 0.001 (0.001) Loss 1.6346 (1.7664) Prec@1 64.062 (59.686) Prec@5 83.594 (81.397) Epoch: [50][3350/10010] Time 0.338 (0.327) Data 0.001 (0.001) Loss 1.5043 (1.7665) Prec@1 62.500 (59.682) Prec@5 82.812 (81.395) Epoch: [50][3360/10010] Time 0.322 (0.327) Data 0.000 (0.001) Loss 1.8429 (1.7666) Prec@1 59.375 (59.680) Prec@5 79.688 (81.394) Epoch: [50][3370/10010] Time 0.339 (0.327) Data 0.001 (0.001) Loss 1.6800 (1.7666) Prec@1 61.719 (59.683) Prec@5 82.812 (81.393) Epoch: [50][3380/10010] Time 0.315 (0.327) Data 0.001 (0.001) Loss 1.6044 (1.7665) Prec@1 67.969 (59.689) Prec@5 88.281 (81.395) Epoch: [50][3390/10010] Time 0.316 (0.327) Data 0.001 (0.001) Loss 1.7640 (1.7666) Prec@1 61.719 (59.684) Prec@5 85.156 (81.396) Epoch: [50][3400/10010] Time 0.312 (0.327) Data 0.001 (0.001) Loss 1.3960 (1.7666) Prec@1 63.281 (59.681) Prec@5 89.844 (81.395) Epoch: [50][3410/10010] Time 0.339 (0.327) Data 0.001 (0.001) Loss 1.9629 (1.7664) Prec@1 60.156 (59.685) Prec@5 77.344 (81.398) Epoch: [50][3420/10010] Time 0.321 (0.327) Data 0.001 (0.001) Loss 1.7288 (1.7666) Prec@1 60.938 (59.681) Prec@5 85.156 (81.395) Epoch: [50][3430/10010] Time 0.335 (0.327) Data 0.001 (0.001) Loss 1.6298 (1.7666) Prec@1 61.719 (59.682) Prec@5 82.031 (81.392) Epoch: [50][3440/10010] Time 0.337 (0.327) Data 0.001 (0.001) Loss 1.4945 (1.7665) Prec@1 65.625 (59.689) Prec@5 84.375 (81.394) Epoch: [50][3450/10010] Time 0.319 (0.327) Data 0.001 (0.001) Loss 1.5952 (1.7668) Prec@1 60.156 (59.689) Prec@5 83.594 (81.390) Epoch: [50][3460/10010] Time 0.338 (0.327) Data 0.001 (0.001) Loss 1.7904 (1.7670) Prec@1 61.719 (59.683) Prec@5 78.906 (81.388) Epoch: [50][3470/10010] Time 0.311 (0.327) Data 0.001 (0.001) Loss 1.7184 (1.7673) Prec@1 64.062 (59.678) Prec@5 83.594 (81.384) Epoch: [50][3480/10010] Time 0.339 (0.327) Data 0.001 (0.001) Loss 1.8481 (1.7673) Prec@1 61.719 (59.677) Prec@5 78.906 (81.382) Epoch: [50][3490/10010] Time 0.323 (0.327) Data 0.000 (0.001) Loss 1.6714 (1.7673) Prec@1 63.281 (59.679) Prec@5 85.156 (81.381) Epoch: [50][3500/10010] Time 0.323 (0.327) Data 0.001 (0.001) Loss 1.8030 (1.7675) Prec@1 60.938 (59.675) Prec@5 78.906 (81.375) Epoch: [50][3510/10010] Time 0.341 (0.327) Data 0.001 (0.001) Loss 1.9617 (1.7674) Prec@1 56.250 (59.676) Prec@5 79.688 (81.376) Epoch: [50][3520/10010] Time 0.314 (0.327) Data 0.001 (0.001) Loss 1.7717 (1.7675) Prec@1 60.938 (59.673) Prec@5 83.594 (81.375) Epoch: [50][3530/10010] Time 0.313 (0.327) Data 0.000 (0.001) Loss 1.5019 (1.7676) Prec@1 66.406 (59.672) Prec@5 82.031 (81.376) Epoch: [50][3540/10010] Time 0.329 (0.327) Data 0.001 (0.001) Loss 1.8862 (1.7676) Prec@1 57.812 (59.670) Prec@5 77.344 (81.376) Epoch: [50][3550/10010] Time 0.340 (0.327) Data 0.001 (0.001) Loss 1.7347 (1.7674) Prec@1 61.719 (59.673) Prec@5 82.031 (81.379) Epoch: [50][3560/10010] Time 0.334 (0.327) Data 0.001 (0.001) Loss 1.7918 (1.7675) Prec@1 57.812 (59.670) Prec@5 81.250 (81.382) Epoch: [50][3570/10010] Time 0.323 (0.327) Data 0.000 (0.001) Loss 1.6732 (1.7672) Prec@1 65.625 (59.670) Prec@5 82.031 (81.384) Epoch: [50][3580/10010] Time 0.336 (0.327) Data 0.001 (0.001) Loss 1.8626 (1.7673) Prec@1 55.469 (59.671) Prec@5 83.594 (81.384) Epoch: [50][3590/10010] Time 0.335 (0.327) Data 0.001 (0.001) Loss 1.8887 (1.7675) Prec@1 60.938 (59.667) Prec@5 78.125 (81.381) Epoch: [50][3600/10010] Time 0.326 (0.327) Data 0.000 (0.001) Loss 1.7913 (1.7675) Prec@1 58.594 (59.669) Prec@5 79.688 (81.381) Epoch: [50][3610/10010] Time 0.338 (0.328) Data 0.001 (0.001) Loss 1.4525 (1.7675) Prec@1 67.969 (59.668) Prec@5 85.156 (81.381) Epoch: [50][3620/10010] Time 0.324 (0.328) Data 0.001 (0.001) Loss 2.0878 (1.7676) Prec@1 54.688 (59.670) Prec@5 77.344 (81.381) Epoch: [50][3630/10010] Time 0.342 (0.328) Data 0.001 (0.001) Loss 1.7367 (1.7681) Prec@1 60.938 (59.657) Prec@5 85.156 (81.377) Epoch: [50][3640/10010] Time 0.341 (0.328) Data 0.001 (0.001) Loss 1.2717 (1.7679) Prec@1 70.312 (59.660) Prec@5 85.938 (81.381) Epoch: [50][3650/10010] Time 0.319 (0.328) Data 0.001 (0.001) Loss 2.1563 (1.7682) Prec@1 57.812 (59.657) Prec@5 75.781 (81.376) Epoch: [50][3660/10010] Time 0.340 (0.328) Data 0.000 (0.001) Loss 1.8536 (1.7685) Prec@1 53.906 (59.649) Prec@5 79.688 (81.371) Epoch: [50][3670/10010] Time 0.322 (0.328) Data 0.000 (0.001) Loss 1.6577 (1.7683) Prec@1 56.250 (59.651) Prec@5 85.156 (81.372) Epoch: [50][3680/10010] Time 0.337 (0.328) Data 0.001 (0.001) Loss 1.7263 (1.7683) Prec@1 57.812 (59.652) Prec@5 80.469 (81.372) Epoch: [50][3690/10010] Time 0.314 (0.328) Data 0.001 (0.001) Loss 1.5276 (1.7680) Prec@1 57.812 (59.654) Prec@5 82.812 (81.374) Epoch: [50][3700/10010] Time 0.330 (0.328) Data 0.001 (0.001) Loss 1.6940 (1.7680) Prec@1 64.062 (59.655) Prec@5 83.594 (81.375) Epoch: [50][3710/10010] Time 0.336 (0.328) Data 0.000 (0.001) Loss 2.2119 (1.7682) Prec@1 53.906 (59.653) Prec@5 75.781 (81.370) Epoch: [50][3720/10010] Time 0.320 (0.328) Data 0.001 (0.001) Loss 2.0352 (1.7682) Prec@1 60.938 (59.653) Prec@5 77.344 (81.372) Epoch: [50][3730/10010] Time 0.315 (0.328) Data 0.001 (0.001) Loss 1.7426 (1.7683) Prec@1 60.938 (59.651) Prec@5 82.031 (81.367) Epoch: [50][3740/10010] Time 0.312 (0.328) Data 0.001 (0.001) Loss 1.7282 (1.7681) Prec@1 63.281 (59.654) Prec@5 81.250 (81.369) Epoch: [50][3750/10010] Time 0.317 (0.328) Data 0.004 (0.001) Loss 1.9151 (1.7682) Prec@1 57.031 (59.651) Prec@5 78.906 (81.370) Epoch: [50][3760/10010] Time 0.336 (0.328) Data 0.001 (0.001) Loss 1.8360 (1.7685) Prec@1 60.938 (59.643) Prec@5 77.344 (81.362) Epoch: [50][3770/10010] Time 0.331 (0.328) Data 0.001 (0.001) Loss 1.8977 (1.7688) Prec@1 50.781 (59.635) Prec@5 85.156 (81.358) Epoch: [50][3780/10010] Time 0.340 (0.328) Data 0.001 (0.001) Loss 1.6118 (1.7689) Prec@1 60.156 (59.635) Prec@5 83.594 (81.359) Epoch: [50][3790/10010] Time 0.339 (0.328) Data 0.001 (0.001) Loss 1.5545 (1.7690) Prec@1 64.062 (59.631) Prec@5 83.594 (81.356) Epoch: [50][3800/10010] Time 0.338 (0.328) Data 0.001 (0.001) Loss 1.7569 (1.7691) Prec@1 60.156 (59.631) Prec@5 78.906 (81.355) Epoch: [50][3810/10010] Time 0.313 (0.328) Data 0.000 (0.001) Loss 1.9414 (1.7690) Prec@1 50.781 (59.632) Prec@5 80.469 (81.357) Epoch: [50][3820/10010] Time 0.319 (0.328) Data 0.001 (0.001) Loss 1.9265 (1.7690) Prec@1 56.250 (59.629) Prec@5 82.812 (81.358) Epoch: [50][3830/10010] Time 0.341 (0.328) Data 0.000 (0.001) Loss 1.7016 (1.7689) Prec@1 59.375 (59.631) Prec@5 82.031 (81.362) Epoch: [50][3840/10010] Time 0.341 (0.328) Data 0.001 (0.001) Loss 1.8098 (1.7688) Prec@1 57.812 (59.632) Prec@5 79.688 (81.361) Epoch: [50][3850/10010] Time 0.309 (0.328) Data 0.000 (0.001) Loss 1.4688 (1.7688) Prec@1 65.625 (59.630) Prec@5 87.500 (81.360) Epoch: [50][3860/10010] Time 0.324 (0.328) Data 0.001 (0.001) Loss 1.5772 (1.7690) Prec@1 64.844 (59.625) Prec@5 82.031 (81.356) Epoch: [50][3870/10010] Time 0.333 (0.328) Data 0.001 (0.001) Loss 1.6165 (1.7690) Prec@1 60.156 (59.632) Prec@5 81.250 (81.356) Epoch: [50][3880/10010] Time 0.338 (0.328) Data 0.001 (0.001) Loss 1.9455 (1.7692) Prec@1 66.406 (59.630) Prec@5 78.125 (81.350) Epoch: [50][3890/10010] Time 0.321 (0.328) Data 0.000 (0.001) Loss 1.9502 (1.7692) Prec@1 57.031 (59.631) Prec@5 82.031 (81.349) Epoch: [50][3900/10010] Time 0.323 (0.328) Data 0.000 (0.001) Loss 1.7917 (1.7691) Prec@1 60.938 (59.630) Prec@5 78.906 (81.351) Epoch: [50][3910/10010] Time 0.314 (0.328) Data 0.001 (0.001) Loss 1.6393 (1.7691) Prec@1 58.594 (59.629) Prec@5 78.125 (81.349) Epoch: [50][3920/10010] Time 0.336 (0.328) Data 0.001 (0.001) Loss 1.5127 (1.7692) Prec@1 66.406 (59.628) Prec@5 85.938 (81.347) Epoch: [50][3930/10010] Time 0.328 (0.328) Data 0.001 (0.001) Loss 1.6616 (1.7691) Prec@1 63.281 (59.631) Prec@5 82.031 (81.347) Epoch: [50][3940/10010] Time 0.342 (0.328) Data 0.000 (0.001) Loss 1.9738 (1.7691) Prec@1 54.688 (59.630) Prec@5 75.781 (81.346) Epoch: [50][3950/10010] Time 0.338 (0.328) Data 0.001 (0.001) Loss 1.7462 (1.7691) Prec@1 59.375 (59.631) Prec@5 80.469 (81.346) Epoch: [50][3960/10010] Time 0.318 (0.328) Data 0.000 (0.001) Loss 1.5624 (1.7689) Prec@1 60.938 (59.630) Prec@5 82.812 (81.350) /data/vision/torralba/deepscene/lib/anaconda2/lib/python2.7/site-packages/PIL/TiffImagePlugin.py:692: UserWarning: Possibly corrupt EXIF data. Expecting to read 2555904 bytes but only got 0. Skipping tag 0 "Skipping tag %s" % (size, len(data), tag)) Epoch: [50][3970/10010] Time 0.331 (0.328) Data 0.001 (0.001) Loss 1.7282 (1.7690) Prec@1 60.156 (59.626) Prec@5 80.469 (81.350) Epoch: [50][3980/10010] Time 0.331 (0.328) Data 0.001 (0.001) Loss 2.0386 (1.7690) Prec@1 52.344 (59.624) Prec@5 77.344 (81.350) Epoch: [50][3990/10010] Time 0.318 (0.328) Data 0.001 (0.001) Loss 1.7658 (1.7691) Prec@1 59.375 (59.622) Prec@5 83.594 (81.346) Epoch: [50][4000/10010] Time 0.323 (0.328) Data 0.000 (0.001) Loss 2.0363 (1.7693) Prec@1 56.250 (59.618) Prec@5 75.781 (81.342) Epoch: [50][4010/10010] Time 0.320 (0.328) Data 0.001 (0.001) Loss 1.7683 (1.7693) Prec@1 60.156 (59.618) Prec@5 82.031 (81.343) Epoch: [50][4020/10010] Time 0.339 (0.328) Data 0.000 (0.001) Loss 1.6742 (1.7692) Prec@1 64.062 (59.619) Prec@5 82.812 (81.345) Epoch: [50][4030/10010] Time 0.324 (0.328) Data 0.001 (0.001) Loss 1.4502 (1.7692) Prec@1 63.281 (59.620) Prec@5 86.719 (81.343) Epoch: [50][4040/10010] Time 0.316 (0.328) Data 0.001 (0.001) Loss 1.4985 (1.7692) Prec@1 65.625 (59.619) Prec@5 82.812 (81.342) Epoch: [50][4050/10010] Time 0.314 (0.328) Data 0.001 (0.001) Loss 1.8486 (1.7693) Prec@1 62.500 (59.620) Prec@5 80.469 (81.341) Epoch: [50][4060/10010] Time 0.336 (0.328) Data 0.001 (0.001) Loss 2.0500 (1.7696) Prec@1 53.906 (59.613) Prec@5 80.469 (81.336) Epoch: [50][4070/10010] Time 0.338 (0.328) Data 0.001 (0.001) Loss 1.5257 (1.7695) Prec@1 62.500 (59.613) Prec@5 83.594 (81.339) Epoch: [50][4080/10010] Time 0.335 (0.328) Data 0.000 (0.001) Loss 2.0043 (1.7696) Prec@1 57.031 (59.610) Prec@5 76.562 (81.338) Epoch: [50][4090/10010] Time 0.319 (0.328) Data 0.001 (0.001) Loss 1.9561 (1.7695) Prec@1 56.250 (59.612) Prec@5 77.344 (81.337) Epoch: [50][4100/10010] Time 0.329 (0.327) Data 0.001 (0.001) Loss 1.7606 (1.7695) Prec@1 53.906 (59.615) Prec@5 84.375 (81.340) Epoch: [50][4110/10010] Time 0.329 (0.327) Data 0.001 (0.001) Loss 1.9603 (1.7696) Prec@1 53.125 (59.614) Prec@5 75.781 (81.335) Epoch: [50][4120/10010] Time 0.339 (0.327) Data 0.000 (0.001) Loss 1.9299 (1.7696) Prec@1 59.375 (59.612) Prec@5 77.344 (81.335) Epoch: [50][4130/10010] Time 0.337 (0.327) Data 0.001 (0.001) Loss 1.1949 (1.7698) Prec@1 71.875 (59.610) Prec@5 91.406 (81.331) Epoch: [50][4140/10010] Time 0.320 (0.327) Data 0.000 (0.001) Loss 1.5856 (1.7698) Prec@1 68.750 (59.609) Prec@5 85.156 (81.330) Epoch: [50][4150/10010] Time 0.321 (0.327) Data 0.001 (0.001) Loss 2.0234 (1.7700) Prec@1 54.688 (59.604) Prec@5 74.219 (81.326) Epoch: [50][4160/10010] Time 0.329 (0.327) Data 0.001 (0.001) Loss 1.8397 (1.7699) Prec@1 60.156 (59.606) Prec@5 81.250 (81.328) Epoch: [50][4170/10010] Time 0.318 (0.327) Data 0.001 (0.001) Loss 1.7353 (1.7698) Prec@1 62.500 (59.606) Prec@5 79.688 (81.328) Epoch: [50][4180/10010] Time 0.341 (0.327) Data 0.000 (0.001) Loss 1.8931 (1.7701) Prec@1 56.250 (59.603) Prec@5 76.562 (81.323) Epoch: [50][4190/10010] Time 0.328 (0.327) Data 0.001 (0.001) Loss 1.6992 (1.7703) Prec@1 60.938 (59.600) Prec@5 82.812 (81.321) Epoch: [50][4200/10010] Time 0.328 (0.327) Data 0.000 (0.001) Loss 1.8846 (1.7702) Prec@1 60.938 (59.603) Prec@5 80.469 (81.325) Epoch: [50][4210/10010] Time 0.323 (0.327) Data 0.001 (0.001) Loss 1.5785 (1.7704) Prec@1 64.062 (59.601) Prec@5 82.031 (81.324) Epoch: [50][4220/10010] Time 0.322 (0.327) Data 0.000 (0.001) Loss 1.7875 (1.7706) Prec@1 59.375 (59.596) Prec@5 80.469 (81.320) Epoch: [50][4230/10010] Time 0.322 (0.327) Data 0.001 (0.001) Loss 1.9053 (1.7707) Prec@1 57.812 (59.596) Prec@5 78.906 (81.319) Epoch: [50][4240/10010] Time 0.324 (0.327) Data 0.001 (0.001) Loss 1.8097 (1.7706) Prec@1 62.500 (59.599) Prec@5 82.031 (81.317) Epoch: [50][4250/10010] Time 0.322 (0.327) Data 0.000 (0.001) Loss 1.5469 (1.7705) Prec@1 65.625 (59.598) Prec@5 84.375 (81.319) Epoch: [50][4260/10010] Time 0.320 (0.327) Data 0.000 (0.001) Loss 1.4139 (1.7704) Prec@1 67.188 (59.601) Prec@5 89.062 (81.323) Epoch: [50][4270/10010] Time 0.317 (0.327) Data 0.000 (0.001) Loss 2.0142 (1.7705) Prec@1 56.250 (59.600) Prec@5 76.562 (81.320) Epoch: [50][4280/10010] Time 0.334 (0.327) Data 0.001 (0.001) Loss 1.6014 (1.7705) Prec@1 64.844 (59.597) Prec@5 83.594 (81.321) Epoch: [50][4290/10010] Time 0.325 (0.327) Data 0.000 (0.001) Loss 1.8384 (1.7705) Prec@1 54.688 (59.595) Prec@5 82.031 (81.320) Epoch: [50][4300/10010] Time 0.319 (0.327) Data 0.001 (0.001) Loss 1.5565 (1.7707) Prec@1 60.156 (59.591) Prec@5 85.156 (81.318) Epoch: [50][4310/10010] Time 0.313 (0.327) Data 0.001 (0.001) Loss 1.8009 (1.7707) Prec@1 57.812 (59.590) Prec@5 79.688 (81.317) Epoch: [50][4320/10010] Time 0.318 (0.327) Data 0.001 (0.001) Loss 1.9814 (1.7709) Prec@1 53.906 (59.587) Prec@5 77.344 (81.316) Epoch: [50][4330/10010] Time 0.337 (0.327) Data 0.001 (0.001) Loss 1.7466 (1.7709) Prec@1 56.250 (59.583) Prec@5 82.031 (81.317) Epoch: [50][4340/10010] Time 0.338 (0.327) Data 0.000 (0.001) Loss 1.6737 (1.7708) Prec@1 60.938 (59.585) Prec@5 82.812 (81.320) Epoch: [50][4350/10010] Time 0.337 (0.327) Data 0.001 (0.001) Loss 1.5505 (1.7707) Prec@1 66.406 (59.588) Prec@5 84.375 (81.321) Epoch: [50][4360/10010] Time 0.334 (0.327) Data 0.001 (0.001) Loss 1.9902 (1.7712) Prec@1 56.250 (59.578) Prec@5 78.906 (81.315) Epoch: [50][4370/10010] Time 0.333 (0.327) Data 0.001 (0.001) Loss 1.6064 (1.7710) Prec@1 64.844 (59.582) Prec@5 82.812 (81.321) Epoch: [50][4380/10010] Time 0.330 (0.327) Data 0.000 (0.001) Loss 1.8655 (1.7710) Prec@1 58.594 (59.582) Prec@5 81.250 (81.321) Epoch: [50][4390/10010] Time 0.334 (0.327) Data 0.001 (0.001) Loss 1.5121 (1.7712) Prec@1 62.500 (59.582) Prec@5 85.938 (81.320) Epoch: [50][4400/10010] Time 0.335 (0.327) Data 0.001 (0.001) Loss 1.7287 (1.7711) Prec@1 60.156 (59.584) Prec@5 83.594 (81.321) Epoch: [50][4410/10010] Time 0.339 (0.327) Data 0.001 (0.001) Loss 1.5827 (1.7710) Prec@1 66.406 (59.585) Prec@5 81.250 (81.319) Epoch: [50][4420/10010] Time 0.338 (0.327) Data 0.001 (0.001) Loss 1.9389 (1.7707) Prec@1 54.688 (59.591) Prec@5 80.469 (81.327) Epoch: [50][4430/10010] Time 0.317 (0.327) Data 0.001 (0.001) Loss 2.0208 (1.7709) Prec@1 55.469 (59.587) Prec@5 78.125 (81.325) Epoch: [50][4440/10010] Time 0.337 (0.327) Data 0.001 (0.001) Loss 1.6544 (1.7712) Prec@1 63.281 (59.583) Prec@5 82.812 (81.321) Epoch: [50][4450/10010] Time 0.316 (0.327) Data 0.001 (0.001) Loss 1.8128 (1.7711) Prec@1 57.031 (59.584) Prec@5 78.906 (81.324) Epoch: [50][4460/10010] Time 0.338 (0.327) Data 0.001 (0.001) Loss 1.9178 (1.7713) Prec@1 60.156 (59.583) Prec@5 81.250 (81.325) Epoch: [50][4470/10010] Time 0.320 (0.327) Data 0.001 (0.001) Loss 1.8127 (1.7712) Prec@1 59.375 (59.586) Prec@5 81.250 (81.328) Epoch: [50][4480/10010] Time 0.340 (0.327) Data 0.000 (0.001) Loss 1.8806 (1.7711) Prec@1 59.375 (59.586) Prec@5 81.250 (81.330) Epoch: [50][4490/10010] Time 0.339 (0.327) Data 0.000 (0.001) Loss 1.5140 (1.7710) Prec@1 66.406 (59.587) Prec@5 82.812 (81.332) Epoch: [50][4500/10010] Time 0.312 (0.328) Data 0.001 (0.001) Loss 1.9731 (1.7710) Prec@1 56.250 (59.583) Prec@5 77.344 (81.332) Epoch: [50][4510/10010] Time 0.335 (0.327) Data 0.001 (0.001) Loss 1.7591 (1.7708) Prec@1 59.375 (59.587) Prec@5 78.125 (81.333) Epoch: [50][4520/10010] Time 0.313 (0.327) Data 0.001 (0.001) Loss 2.2603 (1.7710) Prec@1 49.219 (59.587) Prec@5 71.094 (81.332) Epoch: [50][4530/10010] Time 0.322 (0.327) Data 0.001 (0.001) Loss 1.7161 (1.7709) Prec@1 68.750 (59.591) Prec@5 84.375 (81.332) Epoch: [50][4540/10010] Time 0.337 (0.327) Data 0.000 (0.001) Loss 1.9301 (1.7708) Prec@1 51.562 (59.592) Prec@5 82.031 (81.337) Epoch: [50][4550/10010] Time 0.316 (0.327) Data 0.001 (0.001) Loss 1.7044 (1.7709) Prec@1 61.719 (59.590) Prec@5 84.375 (81.339) Epoch: [50][4560/10010] Time 0.326 (0.328) Data 0.001 (0.001) Loss 1.6546 (1.7708) Prec@1 57.812 (59.589) Prec@5 82.812 (81.338) Epoch: [50][4570/10010] Time 0.322 (0.327) Data 0.001 (0.001) Loss 1.8894 (1.7707) Prec@1 54.688 (59.592) Prec@5 75.781 (81.339) Epoch: [50][4580/10010] Time 0.343 (0.327) Data 0.000 (0.001) Loss 1.5693 (1.7708) Prec@1 64.062 (59.594) Prec@5 82.812 (81.336) Epoch: [50][4590/10010] Time 0.338 (0.328) Data 0.000 (0.001) Loss 1.5669 (1.7708) Prec@1 63.281 (59.594) Prec@5 85.938 (81.336) Epoch: [50][4600/10010] Time 0.339 (0.328) Data 0.001 (0.001) Loss 1.7835 (1.7708) Prec@1 59.375 (59.596) Prec@5 82.031 (81.337) Epoch: [50][4610/10010] Time 0.318 (0.328) Data 0.004 (0.001) Loss 1.5175 (1.7707) Prec@1 69.531 (59.599) Prec@5 83.594 (81.338) Epoch: [50][4620/10010] Time 0.335 (0.328) Data 0.000 (0.001) Loss 1.6574 (1.7707) Prec@1 61.719 (59.599) Prec@5 82.812 (81.336) Epoch: [50][4630/10010] Time 0.317 (0.327) Data 0.001 (0.001) Loss 1.6609 (1.7706) Prec@1 60.938 (59.598) Prec@5 84.375 (81.339) Epoch: [50][4640/10010] Time 0.336 (0.328) Data 0.001 (0.001) Loss 1.7893 (1.7705) Prec@1 56.250 (59.595) Prec@5 78.906 (81.341) Epoch: [50][4650/10010] Time 0.339 (0.328) Data 0.001 (0.001) Loss 2.0781 (1.7708) Prec@1 56.250 (59.591) Prec@5 78.125 (81.335) Epoch: [50][4660/10010] Time 0.314 (0.328) Data 0.001 (0.001) Loss 1.6286 (1.7709) Prec@1 63.281 (59.589) Prec@5 81.250 (81.330) Epoch: [50][4670/10010] Time 0.332 (0.328) Data 0.001 (0.001) Loss 1.8844 (1.7710) Prec@1 58.594 (59.588) Prec@5 80.469 (81.329) Epoch: [50][4680/10010] Time 0.342 (0.328) Data 0.001 (0.001) Loss 1.6915 (1.7710) Prec@1 57.031 (59.588) Prec@5 86.719 (81.331) Epoch: [50][4690/10010] Time 0.322 (0.328) Data 0.001 (0.001) Loss 1.9986 (1.7710) Prec@1 53.906 (59.585) Prec@5 77.344 (81.331) Epoch: [50][4700/10010] Time 0.341 (0.328) Data 0.001 (0.001) Loss 1.9868 (1.7709) Prec@1 56.250 (59.586) Prec@5 78.125 (81.332) Epoch: [50][4710/10010] Time 0.316 (0.328) Data 0.001 (0.001) Loss 1.3945 (1.7709) Prec@1 65.625 (59.590) Prec@5 88.281 (81.334) Epoch: [50][4720/10010] Time 0.342 (0.328) Data 0.001 (0.001) Loss 2.0587 (1.7710) Prec@1 57.812 (59.588) Prec@5 78.906 (81.331) Epoch: [50][4730/10010] Time 0.339 (0.328) Data 0.001 (0.001) Loss 1.8139 (1.7711) Prec@1 59.375 (59.588) Prec@5 82.031 (81.328) Epoch: [50][4740/10010] Time 0.338 (0.328) Data 0.001 (0.001) Loss 1.6710 (1.7712) Prec@1 58.594 (59.586) Prec@5 82.031 (81.328) Epoch: [50][4750/10010] Time 0.335 (0.328) Data 0.001 (0.001) Loss 1.8672 (1.7712) Prec@1 62.500 (59.587) Prec@5 78.125 (81.325) Epoch: [50][4760/10010] Time 0.338 (0.328) Data 0.001 (0.001) Loss 1.7857 (1.7716) Prec@1 53.125 (59.576) Prec@5 85.156 (81.322) Epoch: [50][4770/10010] Time 0.318 (0.328) Data 0.001 (0.001) Loss 1.8318 (1.7714) Prec@1 60.938 (59.580) Prec@5 79.688 (81.324) Epoch: [50][4780/10010] Time 0.320 (0.328) Data 0.000 (0.001) Loss 1.9993 (1.7714) Prec@1 53.906 (59.578) Prec@5 76.562 (81.326) Epoch: [50][4790/10010] Time 0.331 (0.328) Data 0.001 (0.001) Loss 2.1532 (1.7714) Prec@1 53.906 (59.580) Prec@5 77.344 (81.327) Epoch: [50][4800/10010] Time 0.340 (0.328) Data 0.001 (0.001) Loss 2.0058 (1.7715) Prec@1 60.156 (59.580) Prec@5 76.562 (81.325) Epoch: [50][4810/10010] Time 0.321 (0.328) Data 0.001 (0.001) Loss 1.8780 (1.7717) Prec@1 55.469 (59.577) Prec@5 78.906 (81.321) Epoch: [50][4820/10010] Time 0.317 (0.328) Data 0.000 (0.001) Loss 1.8369 (1.7718) Prec@1 61.719 (59.577) Prec@5 79.688 (81.320) Epoch: [50][4830/10010] Time 0.339 (0.328) Data 0.001 (0.001) Loss 1.9812 (1.7719) Prec@1 58.594 (59.577) Prec@5 80.469 (81.319) Epoch: [50][4840/10010] Time 0.322 (0.328) Data 0.001 (0.001) Loss 1.5711 (1.7719) Prec@1 64.062 (59.576) Prec@5 85.156 (81.318) Epoch: [50][4850/10010] Time 0.324 (0.328) Data 0.000 (0.001) Loss 1.6108 (1.7718) Prec@1 65.625 (59.580) Prec@5 81.250 (81.317) Epoch: [50][4860/10010] Time 0.329 (0.328) Data 0.000 (0.001) Loss 1.7093 (1.7718) Prec@1 64.844 (59.579) Prec@5 82.031 (81.316) Epoch: [50][4870/10010] Time 0.340 (0.328) Data 0.000 (0.001) Loss 1.8905 (1.7720) Prec@1 60.938 (59.577) Prec@5 79.688 (81.314) Epoch: [50][4880/10010] Time 0.317 (0.328) Data 0.001 (0.001) Loss 1.7005 (1.7719) Prec@1 60.938 (59.577) Prec@5 76.562 (81.314) Epoch: [50][4890/10010] Time 0.321 (0.328) Data 0.001 (0.001) Loss 1.6706 (1.7718) Prec@1 60.938 (59.580) Prec@5 80.469 (81.314) Epoch: [50][4900/10010] Time 0.323 (0.328) Data 0.001 (0.001) Loss 1.6602 (1.7717) Prec@1 65.625 (59.583) Prec@5 81.250 (81.315) Epoch: [50][4910/10010] Time 0.328 (0.328) Data 0.001 (0.001) Loss 1.7725 (1.7717) Prec@1 57.812 (59.581) Prec@5 79.688 (81.313) Epoch: [50][4920/10010] Time 0.318 (0.328) Data 0.001 (0.001) Loss 1.7660 (1.7715) Prec@1 61.719 (59.586) Prec@5 80.469 (81.317) Epoch: [50][4930/10010] Time 0.317 (0.328) Data 0.000 (0.001) Loss 1.7231 (1.7715) Prec@1 53.906 (59.588) Prec@5 83.594 (81.317) Epoch: [50][4940/10010] Time 0.317 (0.328) Data 0.001 (0.001) Loss 1.5613 (1.7714) Prec@1 56.250 (59.589) Prec@5 84.375 (81.318) Epoch: [50][4950/10010] Time 0.343 (0.328) Data 0.001 (0.001) Loss 1.6322 (1.7714) Prec@1 64.844 (59.590) Prec@5 82.812 (81.318) Epoch: [50][4960/10010] Time 0.334 (0.328) Data 0.001 (0.001) Loss 1.6942 (1.7713) Prec@1 55.469 (59.587) Prec@5 85.156 (81.319) Epoch: [50][4970/10010] Time 0.328 (0.328) Data 0.001 (0.001) Loss 1.6548 (1.7714) Prec@1 64.844 (59.591) Prec@5 81.250 (81.317) Epoch: [50][4980/10010] Time 0.340 (0.328) Data 0.000 (0.001) Loss 1.5108 (1.7713) Prec@1 64.844 (59.595) Prec@5 84.375 (81.319) Epoch: [50][4990/10010] Time 0.334 (0.328) Data 0.001 (0.001) Loss 1.7742 (1.7713) Prec@1 58.594 (59.597) Prec@5 79.688 (81.321) Epoch: [50][5000/10010] Time 0.321 (0.328) Data 0.001 (0.001) Loss 2.0396 (1.7713) Prec@1 54.688 (59.595) Prec@5 80.469 (81.321) Epoch: [50][5010/10010] Time 0.330 (0.328) Data 0.001 (0.001) Loss 1.5716 (1.7714) Prec@1 61.719 (59.595) Prec@5 84.375 (81.318) Epoch: [50][5020/10010] Time 0.330 (0.328) Data 0.000 (0.001) Loss 1.8559 (1.7715) Prec@1 53.125 (59.593) Prec@5 77.344 (81.316) Epoch: [50][5030/10010] Time 0.326 (0.328) Data 0.001 (0.001) Loss 1.8138 (1.7716) Prec@1 62.500 (59.593) Prec@5 82.031 (81.314) Epoch: [50][5040/10010] Time 0.314 (0.328) Data 0.001 (0.001) Loss 1.8290 (1.7715) Prec@1 55.469 (59.591) Prec@5 82.031 (81.318) Epoch: [50][5050/10010] Time 0.330 (0.328) Data 0.001 (0.001) Loss 1.9298 (1.7714) Prec@1 57.031 (59.594) Prec@5 78.125 (81.317) Epoch: [50][5060/10010] Time 0.317 (0.328) Data 0.001 (0.001) Loss 1.5284 (1.7714) Prec@1 71.875 (59.596) Prec@5 86.719 (81.317) Epoch: [50][5070/10010] Time 0.317 (0.328) Data 0.001 (0.001) Loss 1.8933 (1.7713) Prec@1 61.719 (59.603) Prec@5 80.469 (81.320) Epoch: [50][5080/10010] Time 0.318 (0.328) Data 0.000 (0.001) Loss 1.8488 (1.7710) Prec@1 60.156 (59.610) Prec@5 78.125 (81.323) Epoch: [50][5090/10010] Time 0.333 (0.328) Data 0.001 (0.001) Loss 1.5727 (1.7712) Prec@1 64.062 (59.605) Prec@5 84.375 (81.320) Epoch: [50][5100/10010] Time 0.342 (0.328) Data 0.000 (0.001) Loss 2.0067 (1.7712) Prec@1 57.031 (59.605) Prec@5 76.562 (81.319) Epoch: [50][5110/10010] Time 0.323 (0.328) Data 0.001 (0.001) Loss 1.8937 (1.7712) Prec@1 57.812 (59.604) Prec@5 80.469 (81.320) Epoch: [50][5120/10010] Time 0.338 (0.328) Data 0.000 (0.001) Loss 1.9896 (1.7714) Prec@1 55.469 (59.600) Prec@5 80.469 (81.320) Epoch: [50][5130/10010] Time 0.318 (0.328) Data 0.001 (0.001) Loss 1.5812 (1.7713) Prec@1 64.844 (59.600) Prec@5 82.812 (81.319) Epoch: [50][5140/10010] Time 0.314 (0.328) Data 0.001 (0.001) Loss 1.6357 (1.7711) Prec@1 64.062 (59.606) Prec@5 82.031 (81.322) Epoch: [50][5150/10010] Time 0.332 (0.328) Data 0.001 (0.001) Loss 1.7307 (1.7711) Prec@1 57.812 (59.605) Prec@5 81.250 (81.322) Epoch: [50][5160/10010] Time 0.323 (0.328) Data 0.000 (0.001) Loss 1.8111 (1.7712) Prec@1 59.375 (59.604) Prec@5 82.031 (81.321) Epoch: [50][5170/10010] Time 0.325 (0.328) Data 0.000 (0.001) Loss 1.7987 (1.7713) Prec@1 60.938 (59.604) Prec@5 78.906 (81.318) Epoch: [50][5180/10010] Time 0.333 (0.328) Data 0.000 (0.001) Loss 1.7267 (1.7713) Prec@1 59.375 (59.602) Prec@5 78.906 (81.316) Epoch: [50][5190/10010] Time 0.339 (0.328) Data 0.001 (0.001) Loss 1.9507 (1.7714) Prec@1 63.281 (59.604) Prec@5 77.344 (81.313) Epoch: [50][5200/10010] Time 0.342 (0.328) Data 0.001 (0.001) Loss 1.7391 (1.7713) Prec@1 66.406 (59.606) Prec@5 78.906 (81.314) Epoch: [50][5210/10010] Time 0.321 (0.328) Data 0.000 (0.001) Loss 1.8311 (1.7714) Prec@1 56.250 (59.607) Prec@5 78.906 (81.312) Epoch: [50][5220/10010] Time 0.334 (0.328) Data 0.001 (0.001) Loss 1.5654 (1.7716) Prec@1 63.281 (59.601) Prec@5 82.031 (81.308) Epoch: [50][5230/10010] Time 0.329 (0.328) Data 0.001 (0.001) Loss 1.3927 (1.7717) Prec@1 64.062 (59.597) Prec@5 89.062 (81.306) Epoch: [50][5240/10010] Time 0.335 (0.328) Data 0.001 (0.001) Loss 1.8559 (1.7719) Prec@1 56.250 (59.592) Prec@5 78.125 (81.303) Epoch: [50][5250/10010] Time 0.329 (0.328) Data 0.001 (0.001) Loss 1.8343 (1.7721) Prec@1 60.938 (59.586) Prec@5 78.906 (81.299) Epoch: [50][5260/10010] Time 0.336 (0.328) Data 0.001 (0.001) Loss 1.6615 (1.7722) Prec@1 59.375 (59.584) Prec@5 84.375 (81.302) Epoch: [50][5270/10010] Time 0.339 (0.328) Data 0.001 (0.001) Loss 1.6607 (1.7721) Prec@1 60.156 (59.580) Prec@5 83.594 (81.303) Epoch: [50][5280/10010] Time 0.328 (0.328) Data 0.001 (0.001) Loss 1.9311 (1.7722) Prec@1 59.375 (59.580) Prec@5 77.344 (81.301) Epoch: [50][5290/10010] Time 0.335 (0.328) Data 0.001 (0.001) Loss 1.6234 (1.7721) Prec@1 60.938 (59.579) Prec@5 82.812 (81.300) Epoch: [50][5300/10010] Time 0.319 (0.328) Data 0.000 (0.001) Loss 1.5480 (1.7722) Prec@1 64.062 (59.576) Prec@5 85.938 (81.296) Epoch: [50][5310/10010] Time 0.318 (0.328) Data 0.001 (0.001) Loss 1.4878 (1.7723) Prec@1 70.312 (59.575) Prec@5 87.500 (81.294) Epoch: [50][5320/10010] Time 0.316 (0.328) Data 0.001 (0.001) Loss 1.6863 (1.7723) Prec@1 62.500 (59.576) Prec@5 82.812 (81.292) Epoch: [50][5330/10010] Time 0.327 (0.328) Data 0.001 (0.001) Loss 1.8230 (1.7724) Prec@1 61.719 (59.578) Prec@5 80.469 (81.291) Epoch: [50][5340/10010] Time 0.319 (0.328) Data 0.000 (0.001) Loss 1.7505 (1.7724) Prec@1 64.062 (59.577) Prec@5 79.688 (81.290) Epoch: [50][5350/10010] Time 0.336 (0.328) Data 0.001 (0.001) Loss 1.8855 (1.7725) Prec@1 55.469 (59.575) Prec@5 75.000 (81.289) Epoch: [50][5360/10010] Time 0.342 (0.328) Data 0.001 (0.001) Loss 1.9233 (1.7725) Prec@1 60.156 (59.575) Prec@5 80.469 (81.289) Epoch: [50][5370/10010] Time 0.339 (0.328) Data 0.001 (0.001) Loss 1.5984 (1.7724) Prec@1 60.156 (59.578) Prec@5 82.031 (81.291) Epoch: [50][5380/10010] Time 0.319 (0.328) Data 0.000 (0.001) Loss 1.7283 (1.7725) Prec@1 60.938 (59.579) Prec@5 81.250 (81.289) Epoch: [50][5390/10010] Time 0.340 (0.328) Data 0.001 (0.001) Loss 1.5715 (1.7727) Prec@1 64.062 (59.575) Prec@5 83.594 (81.286) Epoch: [50][5400/10010] Time 0.335 (0.328) Data 0.001 (0.001) Loss 1.8790 (1.7727) Prec@1 57.031 (59.577) Prec@5 79.688 (81.285) Epoch: [50][5410/10010] Time 0.341 (0.328) Data 0.001 (0.001) Loss 1.7627 (1.7726) Prec@1 58.594 (59.577) Prec@5 80.469 (81.284) Epoch: [50][5420/10010] Time 0.313 (0.328) Data 0.001 (0.001) Loss 1.8080 (1.7726) Prec@1 61.719 (59.579) Prec@5 77.344 (81.283) Epoch: [50][5430/10010] Time 0.338 (0.328) Data 0.001 (0.001) Loss 2.1420 (1.7728) Prec@1 52.344 (59.575) Prec@5 75.781 (81.278) Epoch: [50][5440/10010] Time 0.318 (0.328) Data 0.001 (0.001) Loss 1.7729 (1.7730) Prec@1 57.812 (59.569) Prec@5 75.000 (81.272) Epoch: [50][5450/10010] Time 0.338 (0.328) Data 0.000 (0.001) Loss 1.7002 (1.7730) Prec@1 57.031 (59.563) Prec@5 82.812 (81.274) Epoch: [50][5460/10010] Time 0.318 (0.328) Data 0.001 (0.001) Loss 1.7619 (1.7729) Prec@1 58.594 (59.563) Prec@5 82.812 (81.276) Epoch: [50][5470/10010] Time 0.338 (0.328) Data 0.001 (0.001) Loss 1.6556 (1.7728) Prec@1 60.156 (59.563) Prec@5 84.375 (81.279) Epoch: [50][5480/10010] Time 0.330 (0.328) Data 0.001 (0.001) Loss 1.5819 (1.7728) Prec@1 60.938 (59.563) Prec@5 88.281 (81.277) Epoch: [50][5490/10010] Time 0.338 (0.328) Data 0.001 (0.001) Loss 1.6133 (1.7730) Prec@1 63.281 (59.562) Prec@5 81.250 (81.275) Epoch: [50][5500/10010] Time 0.341 (0.328) Data 0.000 (0.001) Loss 1.3832 (1.7728) Prec@1 66.406 (59.564) Prec@5 84.375 (81.276) Epoch: [50][5510/10010] Time 0.334 (0.328) Data 0.001 (0.001) Loss 1.5666 (1.7728) Prec@1 64.844 (59.563) Prec@5 82.812 (81.276) Epoch: [50][5520/10010] Time 0.315 (0.328) Data 0.001 (0.001) Loss 1.7801 (1.7727) Prec@1 63.281 (59.566) Prec@5 81.250 (81.278) Epoch: [50][5530/10010] Time 0.328 (0.328) Data 0.001 (0.001) Loss 1.4873 (1.7728) Prec@1 68.750 (59.568) Prec@5 82.812 (81.277) Epoch: [50][5540/10010] Time 0.318 (0.328) Data 0.001 (0.001) Loss 1.9527 (1.7728) Prec@1 52.344 (59.569) Prec@5 78.906 (81.278) Epoch: [50][5550/10010] Time 0.328 (0.328) Data 0.001 (0.001) Loss 1.5590 (1.7728) Prec@1 63.281 (59.568) Prec@5 85.938 (81.279) Epoch: [50][5560/10010] Time 0.311 (0.328) Data 0.001 (0.001) Loss 1.9369 (1.7728) Prec@1 55.469 (59.566) Prec@5 81.250 (81.278) Epoch: [50][5570/10010] Time 0.337 (0.328) Data 0.001 (0.001) Loss 1.5824 (1.7728) Prec@1 66.406 (59.569) Prec@5 82.031 (81.280) Epoch: [50][5580/10010] Time 0.342 (0.328) Data 0.000 (0.001) Loss 1.8225 (1.7730) Prec@1 57.031 (59.566) Prec@5 81.250 (81.278) Epoch: [50][5590/10010] Time 0.315 (0.328) Data 0.001 (0.001) Loss 2.0431 (1.7731) Prec@1 58.594 (59.565) Prec@5 75.000 (81.275) Epoch: [50][5600/10010] Time 0.328 (0.328) Data 0.000 (0.001) Loss 1.7286 (1.7730) Prec@1 64.844 (59.569) Prec@5 80.469 (81.278) Epoch: [50][5610/10010] Time 0.337 (0.328) Data 0.001 (0.001) Loss 1.4223 (1.7731) Prec@1 64.844 (59.565) Prec@5 89.844 (81.279) Epoch: [50][5620/10010] Time 0.335 (0.328) Data 0.001 (0.001) Loss 1.7425 (1.7731) Prec@1 62.500 (59.563) Prec@5 85.156 (81.280) Epoch: [50][5630/10010] Time 0.340 (0.328) Data 0.001 (0.001) Loss 2.0139 (1.7732) Prec@1 54.688 (59.561) Prec@5 77.344 (81.277) Epoch: [50][5640/10010] Time 0.336 (0.328) Data 0.001 (0.001) Loss 1.2436 (1.7731) Prec@1 67.969 (59.563) Prec@5 89.844 (81.279) Epoch: [50][5650/10010] Time 0.320 (0.328) Data 0.000 (0.001) Loss 1.9731 (1.7731) Prec@1 57.031 (59.565) Prec@5 78.125 (81.277) Epoch: [50][5660/10010] Time 0.345 (0.328) Data 0.000 (0.001) Loss 1.9307 (1.7732) Prec@1 55.469 (59.564) Prec@5 80.469 (81.277) Epoch: [50][5670/10010] Time 0.339 (0.328) Data 0.001 (0.001) Loss 1.5958 (1.7732) Prec@1 69.531 (59.566) Prec@5 80.469 (81.275) Epoch: [50][5680/10010] Time 0.324 (0.328) Data 0.000 (0.001) Loss 1.7964 (1.7732) Prec@1 61.719 (59.565) Prec@5 84.375 (81.275) Epoch: [50][5690/10010] Time 0.322 (0.328) Data 0.000 (0.001) Loss 1.7413 (1.7734) Prec@1 56.250 (59.563) Prec@5 83.594 (81.272) Epoch: [50][5700/10010] Time 0.339 (0.328) Data 0.000 (0.001) Loss 2.0301 (1.7734) Prec@1 54.688 (59.563) Prec@5 77.344 (81.274) Epoch: [50][5710/10010] Time 0.329 (0.328) Data 0.001 (0.001) Loss 1.5039 (1.7733) Prec@1 65.625 (59.567) Prec@5 87.500 (81.273) Epoch: [50][5720/10010] Time 0.319 (0.328) Data 0.001 (0.001) Loss 1.7415 (1.7733) Prec@1 60.156 (59.568) Prec@5 82.031 (81.273) Epoch: [50][5730/10010] Time 0.320 (0.328) Data 0.001 (0.001) Loss 1.8214 (1.7735) Prec@1 54.688 (59.564) Prec@5 85.156 (81.273) Epoch: [50][5740/10010] Time 0.337 (0.328) Data 0.000 (0.001) Loss 1.8496 (1.7733) Prec@1 54.688 (59.566) Prec@5 77.344 (81.275) Epoch: [50][5750/10010] Time 0.318 (0.328) Data 0.000 (0.001) Loss 1.5640 (1.7735) Prec@1 63.281 (59.562) Prec@5 84.375 (81.273) Epoch: [50][5760/10010] Time 0.317 (0.328) Data 0.000 (0.001) Loss 1.7638 (1.7735) Prec@1 60.938 (59.560) Prec@5 84.375 (81.273) Epoch: [50][5770/10010] Time 0.339 (0.328) Data 0.000 (0.001) Loss 1.8198 (1.7735) Prec@1 60.156 (59.561) Prec@5 79.688 (81.274) Epoch: [50][5780/10010] Time 0.336 (0.328) Data 0.001 (0.001) Loss 2.0456 (1.7738) Prec@1 54.688 (59.560) Prec@5 80.469 (81.270) Epoch: [50][5790/10010] Time 0.315 (0.328) Data 0.001 (0.001) Loss 2.1665 (1.7738) Prec@1 49.219 (59.559) Prec@5 73.438 (81.271) Epoch: [50][5800/10010] Time 0.312 (0.328) Data 0.001 (0.001) Loss 1.6657 (1.7736) Prec@1 55.469 (59.560) Prec@5 84.375 (81.274) Epoch: [50][5810/10010] Time 0.320 (0.328) Data 0.000 (0.001) Loss 2.0347 (1.7738) Prec@1 56.250 (59.556) Prec@5 78.906 (81.273) Epoch: [50][5820/10010] Time 0.324 (0.328) Data 0.000 (0.001) Loss 1.8397 (1.7737) Prec@1 57.031 (59.557) Prec@5 83.594 (81.273) Epoch: [50][5830/10010] Time 0.321 (0.328) Data 0.001 (0.001) Loss 1.8689 (1.7736) Prec@1 58.594 (59.561) Prec@5 78.906 (81.274) Epoch: [50][5840/10010] Time 0.324 (0.328) Data 0.001 (0.001) Loss 1.5357 (1.7736) Prec@1 65.625 (59.565) Prec@5 83.594 (81.275) Epoch: [50][5850/10010] Time 0.325 (0.328) Data 0.000 (0.001) Loss 1.6168 (1.7738) Prec@1 65.625 (59.560) Prec@5 83.594 (81.272) Epoch: [50][5860/10010] Time 0.339 (0.328) Data 0.001 (0.001) Loss 1.9077 (1.7740) Prec@1 57.031 (59.557) Prec@5 78.906 (81.269) Epoch: [50][5870/10010] Time 0.323 (0.328) Data 0.001 (0.001) Loss 1.7023 (1.7739) Prec@1 57.812 (59.558) Prec@5 81.250 (81.268) Epoch: [50][5880/10010] Time 0.326 (0.328) Data 0.000 (0.001) Loss 2.3248 (1.7739) Prec@1 50.781 (59.555) Prec@5 75.000 (81.269) Epoch: [50][5890/10010] Time 0.334 (0.328) Data 0.004 (0.001) Loss 1.8066 (1.7739) Prec@1 60.156 (59.554) Prec@5 80.469 (81.269) Epoch: [50][5900/10010] Time 0.337 (0.328) Data 0.001 (0.001) Loss 1.8111 (1.7738) Prec@1 54.688 (59.555) Prec@5 82.031 (81.272) Epoch: [50][5910/10010] Time 0.319 (0.328) Data 0.001 (0.001) Loss 1.8581 (1.7739) Prec@1 61.719 (59.555) Prec@5 76.562 (81.271) Epoch: [50][5920/10010] Time 0.320 (0.328) Data 0.000 (0.001) Loss 2.2703 (1.7739) Prec@1 50.000 (59.553) Prec@5 73.438 (81.270) Epoch: [50][5930/10010] Time 0.317 (0.328) Data 0.001 (0.001) Loss 1.9776 (1.7740) Prec@1 56.250 (59.552) Prec@5 76.562 (81.268) /data/vision/torralba/deepscene/lib/anaconda2/lib/python2.7/site-packages/PIL/TiffImagePlugin.py:709: UserWarning: Corrupt EXIF data. Expecting to read 4 bytes but only got 0. warnings.warn(str(msg)) Epoch: [50][5940/10010] Time 0.320 (0.328) Data 0.001 (0.001) Loss 1.7175 (1.7740) Prec@1 60.938 (59.553) Prec@5 82.812 (81.267) Epoch: [50][5950/10010] Time 0.312 (0.328) Data 0.000 (0.001) Loss 1.5102 (1.7740) Prec@1 62.500 (59.553) Prec@5 85.938 (81.268) Epoch: [50][5960/10010] Time 0.328 (0.328) Data 0.001 (0.001) Loss 1.7334 (1.7739) Prec@1 60.938 (59.556) Prec@5 80.469 (81.268) Epoch: [50][5970/10010] Time 0.322 (0.328) Data 0.000 (0.001) Loss 1.8020 (1.7740) Prec@1 57.031 (59.556) Prec@5 80.469 (81.267) Epoch: [50][5980/10010] Time 0.332 (0.328) Data 0.001 (0.001) Loss 2.0334 (1.7739) Prec@1 53.906 (59.557) Prec@5 76.562 (81.268) Epoch: [50][5990/10010] Time 0.337 (0.328) Data 0.001 (0.001) Loss 1.6852 (1.7739) Prec@1 55.469 (59.553) Prec@5 81.250 (81.268) Epoch: [50][6000/10010] Time 0.333 (0.328) Data 0.000 (0.001) Loss 1.8517 (1.7740) Prec@1 57.031 (59.552) Prec@5 80.469 (81.267) Epoch: [50][6010/10010] Time 0.330 (0.328) Data 0.001 (0.001) Loss 1.8776 (1.7740) Prec@1 57.812 (59.551) Prec@5 81.250 (81.267) Epoch: [50][6020/10010] Time 0.311 (0.328) Data 0.001 (0.001) Loss 1.6174 (1.7740) Prec@1 57.812 (59.551) Prec@5 85.938 (81.268) Epoch: [50][6030/10010] Time 0.322 (0.328) Data 0.001 (0.001) Loss 1.8014 (1.7741) Prec@1 63.281 (59.553) Prec@5 80.469 (81.268) Epoch: [50][6040/10010] Time 0.332 (0.328) Data 0.000 (0.001) Loss 1.9306 (1.7742) Prec@1 57.812 (59.552) Prec@5 76.562 (81.268) Epoch: [50][6050/10010] Time 0.323 (0.328) Data 0.001 (0.001) Loss 1.7877 (1.7742) Prec@1 53.906 (59.551) Prec@5 82.031 (81.266) Epoch: [50][6060/10010] Time 0.329 (0.328) Data 0.001 (0.001) Loss 1.7677 (1.7741) Prec@1 62.500 (59.551) Prec@5 76.562 (81.269) Epoch: [50][6070/10010] Time 0.340 (0.328) Data 0.001 (0.001) Loss 1.6769 (1.7740) Prec@1 62.500 (59.553) Prec@5 81.250 (81.271) Epoch: [50][6080/10010] Time 0.331 (0.328) Data 0.000 (0.001) Loss 1.7806 (1.7739) Prec@1 58.594 (59.553) Prec@5 78.906 (81.273) Epoch: [50][6090/10010] Time 0.325 (0.328) Data 0.000 (0.001) Loss 1.9238 (1.7739) Prec@1 56.250 (59.552) Prec@5 80.469 (81.274) Epoch: [50][6100/10010] Time 0.326 (0.328) Data 0.000 (0.001) Loss 1.8176 (1.7740) Prec@1 52.344 (59.550) Prec@5 84.375 (81.273) Epoch: [50][6110/10010] Time 0.337 (0.328) Data 0.001 (0.001) Loss 1.8600 (1.7741) Prec@1 56.250 (59.552) Prec@5 84.375 (81.273) Epoch: [50][6120/10010] Time 0.319 (0.328) Data 0.000 (0.001) Loss 1.6536 (1.7740) Prec@1 64.062 (59.554) Prec@5 84.375 (81.273) Epoch: [50][6130/10010] Time 0.329 (0.328) Data 0.001 (0.001) Loss 1.7012 (1.7742) Prec@1 55.469 (59.550) Prec@5 85.156 (81.270) Epoch: [50][6140/10010] Time 0.323 (0.328) Data 0.001 (0.001) Loss 1.8925 (1.7741) Prec@1 57.031 (59.552) Prec@5 78.125 (81.271) Epoch: [50][6150/10010] Time 0.341 (0.328) Data 0.001 (0.001) Loss 1.6842 (1.7740) Prec@1 62.500 (59.554) Prec@5 85.156 (81.271) Epoch: [50][6160/10010] Time 0.333 (0.328) Data 0.000 (0.001) Loss 1.7193 (1.7740) Prec@1 58.594 (59.553) Prec@5 82.812 (81.271) Epoch: [50][6170/10010] Time 0.316 (0.328) Data 0.001 (0.001) Loss 1.5401 (1.7741) Prec@1 61.719 (59.554) Prec@5 86.719 (81.270) Epoch: [50][6180/10010] Time 0.325 (0.328) Data 0.001 (0.001) Loss 1.6913 (1.7741) Prec@1 62.500 (59.553) Prec@5 79.688 (81.269) Epoch: [50][6190/10010] Time 0.314 (0.328) Data 0.001 (0.001) Loss 1.6334 (1.7743) Prec@1 65.625 (59.547) Prec@5 83.594 (81.269) Epoch: [50][6200/10010] Time 0.318 (0.328) Data 0.000 (0.001) Loss 1.7460 (1.7744) Prec@1 60.938 (59.547) Prec@5 79.688 (81.266) Epoch: [50][6210/10010] Time 0.339 (0.328) Data 0.001 (0.001) Loss 1.7134 (1.7743) Prec@1 57.812 (59.549) Prec@5 81.250 (81.267) Epoch: [50][6220/10010] Time 0.335 (0.328) Data 0.001 (0.001) Loss 1.8937 (1.7742) Prec@1 60.938 (59.551) Prec@5 82.031 (81.269) Epoch: [50][6230/10010] Time 0.330 (0.328) Data 0.001 (0.001) Loss 1.4379 (1.7742) Prec@1 67.969 (59.552) Prec@5 86.719 (81.268) Epoch: [50][6240/10010] Time 0.339 (0.328) Data 0.000 (0.001) Loss 1.7494 (1.7743) Prec@1 58.594 (59.549) Prec@5 85.156 (81.268) Epoch: [50][6250/10010] Time 0.329 (0.328) Data 0.001 (0.001) Loss 1.7718 (1.7743) Prec@1 57.812 (59.548) Prec@5 78.125 (81.266) Epoch: [50][6260/10010] Time 0.317 (0.328) Data 0.001 (0.001) Loss 1.7796 (1.7743) Prec@1 64.062 (59.550) Prec@5 84.375 (81.265) Epoch: [50][6270/10010] Time 0.332 (0.328) Data 0.000 (0.001) Loss 1.6110 (1.7743) Prec@1 60.156 (59.552) Prec@5 79.688 (81.265) Epoch: [50][6280/10010] Time 0.328 (0.328) Data 0.001 (0.001) Loss 1.9831 (1.7744) Prec@1 53.125 (59.550) Prec@5 79.688 (81.263) Epoch: [50][6290/10010] Time 0.318 (0.328) Data 0.001 (0.001) Loss 1.9729 (1.7745) Prec@1 53.125 (59.547) Prec@5 77.344 (81.262) Epoch: [50][6300/10010] Time 0.333 (0.328) Data 0.001 (0.001) Loss 1.4927 (1.7745) Prec@1 66.406 (59.547) Prec@5 84.375 (81.261) Epoch: [50][6310/10010] Time 0.331 (0.328) Data 0.001 (0.001) Loss 1.7204 (1.7745) Prec@1 57.031 (59.548) Prec@5 80.469 (81.261) Epoch: [50][6320/10010] Time 0.321 (0.328) Data 0.001 (0.001) Loss 1.8291 (1.7746) Prec@1 60.938 (59.545) Prec@5 78.125 (81.259) Epoch: [50][6330/10010] Time 0.336 (0.328) Data 0.001 (0.001) Loss 1.7553 (1.7747) Prec@1 57.031 (59.544) Prec@5 79.688 (81.259) Epoch: [50][6340/10010] Time 0.339 (0.328) Data 0.001 (0.001) Loss 1.7664 (1.7746) Prec@1 58.594 (59.544) Prec@5 79.688 (81.258) Epoch: [50][6350/10010] Time 0.327 (0.328) Data 0.001 (0.001) Loss 2.4275 (1.7747) Prec@1 50.000 (59.543) Prec@5 70.312 (81.256) Epoch: [50][6360/10010] Time 0.324 (0.328) Data 0.000 (0.001) Loss 1.7805 (1.7747) Prec@1 60.156 (59.542) Prec@5 85.938 (81.257) Epoch: [50][6370/10010] Time 0.319 (0.328) Data 0.001 (0.001) Loss 1.9495 (1.7747) Prec@1 56.250 (59.541) Prec@5 80.469 (81.256) Epoch: [50][6380/10010] Time 0.327 (0.328) Data 0.001 (0.001) Loss 1.7678 (1.7747) Prec@1 59.375 (59.543) Prec@5 77.344 (81.255) Epoch: [50][6390/10010] Time 0.312 (0.328) Data 0.000 (0.001) Loss 1.7971 (1.7747) Prec@1 55.469 (59.542) Prec@5 78.906 (81.254) Epoch: [50][6400/10010] Time 0.318 (0.328) Data 0.000 (0.001) Loss 1.6677 (1.7746) Prec@1 60.156 (59.545) Prec@5 85.156 (81.255) Epoch: [50][6410/10010] Time 0.329 (0.328) Data 0.001 (0.001) Loss 1.9695 (1.7748) Prec@1 53.906 (59.542) Prec@5 77.344 (81.253) Epoch: [50][6420/10010] Time 0.327 (0.328) Data 0.001 (0.001) Loss 1.9261 (1.7748) Prec@1 57.031 (59.538) Prec@5 78.906 (81.251) Epoch: [50][6430/10010] Time 0.317 (0.328) Data 0.001 (0.001) Loss 1.8593 (1.7748) Prec@1 61.719 (59.537) Prec@5 83.594 (81.251) Epoch: [50][6440/10010] Time 0.331 (0.328) Data 0.000 (0.001) Loss 1.7985 (1.7750) Prec@1 59.375 (59.535) Prec@5 78.125 (81.250) Epoch: [50][6450/10010] Time 0.318 (0.328) Data 0.001 (0.001) Loss 1.7675 (1.7750) Prec@1 58.594 (59.535) Prec@5 82.812 (81.249) Epoch: [50][6460/10010] Time 0.314 (0.328) Data 0.001 (0.001) Loss 1.8524 (1.7751) Prec@1 57.812 (59.533) Prec@5 78.906 (81.248) Epoch: [50][6470/10010] Time 0.329 (0.328) Data 0.001 (0.001) Loss 1.7322 (1.7752) Prec@1 62.500 (59.529) Prec@5 81.250 (81.245) Epoch: [50][6480/10010] Time 0.317 (0.328) Data 0.001 (0.001) Loss 1.9905 (1.7753) Prec@1 51.562 (59.526) Prec@5 78.125 (81.243) Epoch: [50][6490/10010] Time 0.313 (0.328) Data 0.001 (0.001) Loss 1.7848 (1.7752) Prec@1 53.125 (59.526) Prec@5 79.688 (81.244) Epoch: [50][6500/10010] Time 0.336 (0.328) Data 0.001 (0.001) Loss 1.8847 (1.7752) Prec@1 51.562 (59.526) Prec@5 82.812 (81.245) Epoch: [50][6510/10010] Time 0.312 (0.328) Data 0.001 (0.001) Loss 1.8394 (1.7753) Prec@1 57.812 (59.524) Prec@5 79.688 (81.246) Epoch: [50][6520/10010] Time 0.328 (0.328) Data 0.001 (0.001) Loss 1.5798 (1.7753) Prec@1 62.500 (59.525) Prec@5 86.719 (81.247) Epoch: [50][6530/10010] Time 0.325 (0.328) Data 0.001 (0.001) Loss 1.7596 (1.7753) Prec@1 57.812 (59.523) Prec@5 84.375 (81.245) Epoch: [50][6540/10010] Time 0.334 (0.328) Data 0.001 (0.001) Loss 1.8898 (1.7755) Prec@1 57.812 (59.520) Prec@5 77.344 (81.243) Epoch: [50][6550/10010] Time 0.319 (0.328) Data 0.001 (0.001) Loss 1.6030 (1.7755) Prec@1 60.938 (59.520) Prec@5 87.500 (81.243) Epoch: [50][6560/10010] Time 0.339 (0.328) Data 0.000 (0.001) Loss 2.0647 (1.7756) Prec@1 58.594 (59.520) Prec@5 77.344 (81.243) Epoch: [50][6570/10010] Time 0.338 (0.328) Data 0.001 (0.001) Loss 1.6861 (1.7757) Prec@1 59.375 (59.521) Prec@5 82.031 (81.241) Epoch: [50][6580/10010] Time 0.334 (0.328) Data 0.001 (0.001) Loss 1.8707 (1.7757) Prec@1 53.906 (59.522) Prec@5 80.469 (81.241) Epoch: [50][6590/10010] Time 0.322 (0.328) Data 0.001 (0.001) Loss 1.6945 (1.7759) Prec@1 60.938 (59.518) Prec@5 82.812 (81.239) Epoch: [50][6600/10010] Time 0.338 (0.328) Data 0.000 (0.001) Loss 1.5821 (1.7759) Prec@1 61.719 (59.518) Prec@5 82.031 (81.239) Epoch: [50][6610/10010] Time 0.342 (0.328) Data 0.001 (0.001) Loss 1.7707 (1.7760) Prec@1 61.719 (59.517) Prec@5 83.594 (81.238) Epoch: [50][6620/10010] Time 0.330 (0.328) Data 0.001 (0.001) Loss 1.8498 (1.7760) Prec@1 51.562 (59.517) Prec@5 80.469 (81.238) Epoch: [50][6630/10010] Time 0.316 (0.328) Data 0.001 (0.001) Loss 2.0580 (1.7761) Prec@1 59.375 (59.515) Prec@5 76.562 (81.239) Epoch: [50][6640/10010] Time 0.315 (0.328) Data 0.000 (0.001) Loss 1.5498 (1.7761) Prec@1 60.156 (59.515) Prec@5 85.156 (81.238) Epoch: [50][6650/10010] Time 0.336 (0.328) Data 0.001 (0.001) Loss 1.6356 (1.7761) Prec@1 60.156 (59.515) Prec@5 83.594 (81.238) Epoch: [50][6660/10010] Time 0.326 (0.328) Data 0.000 (0.001) Loss 1.8857 (1.7761) Prec@1 56.250 (59.515) Prec@5 79.688 (81.238) Epoch: [50][6670/10010] Time 0.325 (0.328) Data 0.001 (0.001) Loss 1.8887 (1.7762) Prec@1 54.688 (59.514) Prec@5 82.031 (81.237) Epoch: [50][6680/10010] Time 0.331 (0.328) Data 0.001 (0.001) Loss 2.1485 (1.7762) Prec@1 56.250 (59.513) Prec@5 75.000 (81.235) Epoch: [50][6690/10010] Time 0.323 (0.328) Data 0.001 (0.001) Loss 1.5672 (1.7762) Prec@1 65.625 (59.513) Prec@5 85.156 (81.235) Epoch: [50][6700/10010] Time 0.321 (0.328) Data 0.001 (0.001) Loss 1.9620 (1.7763) Prec@1 55.469 (59.513) Prec@5 78.125 (81.234) Epoch: [50][6710/10010] Time 0.332 (0.328) Data 0.001 (0.001) Loss 1.7420 (1.7763) Prec@1 67.969 (59.512) Prec@5 85.156 (81.233) Epoch: [50][6720/10010] Time 0.314 (0.328) Data 0.001 (0.001) Loss 2.1526 (1.7764) Prec@1 48.438 (59.512) Prec@5 77.344 (81.233) Epoch: [50][6730/10010] Time 0.330 (0.328) Data 0.000 (0.001) Loss 1.7696 (1.7764) Prec@1 62.500 (59.511) Prec@5 79.688 (81.232) Epoch: [50][6740/10010] Time 0.327 (0.328) Data 0.001 (0.001) Loss 1.9747 (1.7763) Prec@1 58.594 (59.513) Prec@5 78.906 (81.234) Epoch: [50][6750/10010] Time 0.337 (0.328) Data 0.001 (0.001) Loss 1.6169 (1.7763) Prec@1 62.500 (59.515) Prec@5 82.812 (81.235) Epoch: [50][6760/10010] Time 0.326 (0.328) Data 0.001 (0.001) Loss 1.9361 (1.7764) Prec@1 57.031 (59.513) Prec@5 75.781 (81.232) Epoch: [50][6770/10010] Time 0.337 (0.328) Data 0.001 (0.001) Loss 1.7723 (1.7763) Prec@1 59.375 (59.514) Prec@5 79.688 (81.234) Epoch: [50][6780/10010] Time 0.331 (0.328) Data 0.001 (0.001) Loss 1.9371 (1.7764) Prec@1 53.125 (59.513) Prec@5 79.688 (81.233) Epoch: [50][6790/10010] Time 0.318 (0.328) Data 0.001 (0.001) Loss 1.8095 (1.7764) Prec@1 55.469 (59.513) Prec@5 80.469 (81.233) Epoch: [50][6800/10010] Time 0.318 (0.328) Data 0.001 (0.001) Loss 1.6856 (1.7764) Prec@1 61.719 (59.515) Prec@5 83.594 (81.233) Epoch: [50][6810/10010] Time 0.325 (0.328) Data 0.001 (0.001) Loss 1.9772 (1.7765) Prec@1 54.688 (59.512) Prec@5 78.906 (81.231) Epoch: [50][6820/10010] Time 0.327 (0.328) Data 0.001 (0.001) Loss 1.7753 (1.7766) Prec@1 55.469 (59.511) Prec@5 82.031 (81.231) Epoch: [50][6830/10010] Time 0.332 (0.328) Data 0.001 (0.001) Loss 1.6938 (1.7767) Prec@1 60.156 (59.506) Prec@5 82.812 (81.230) Epoch: [50][6840/10010] Time 0.343 (0.328) Data 0.001 (0.001) Loss 1.7981 (1.7768) Prec@1 58.594 (59.504) Prec@5 84.375 (81.231) Epoch: [50][6850/10010] Time 0.325 (0.328) Data 0.001 (0.001) Loss 2.0831 (1.7769) Prec@1 57.031 (59.501) Prec@5 78.125 (81.230) Epoch: [50][6860/10010] Time 0.321 (0.328) Data 0.000 (0.001) Loss 1.9268 (1.7768) Prec@1 57.031 (59.503) Prec@5 75.781 (81.231) Epoch: [50][6870/10010] Time 0.330 (0.328) Data 0.001 (0.001) Loss 1.6300 (1.7767) Prec@1 55.469 (59.504) Prec@5 84.375 (81.232) Epoch: [50][6880/10010] Time 0.326 (0.328) Data 0.000 (0.001) Loss 1.3885 (1.7765) Prec@1 70.312 (59.506) Prec@5 85.156 (81.234) Epoch: [50][6890/10010] Time 0.316 (0.328) Data 0.000 (0.001) Loss 1.4598 (1.7765) Prec@1 60.938 (59.509) Prec@5 89.062 (81.234) Epoch: [50][6900/10010] Time 0.334 (0.328) Data 0.001 (0.001) Loss 1.5332 (1.7764) Prec@1 64.062 (59.511) Prec@5 85.156 (81.234) Epoch: [50][6910/10010] Time 0.318 (0.328) Data 0.001 (0.001) Loss 1.7185 (1.7764) Prec@1 58.594 (59.512) Prec@5 82.031 (81.235) Epoch: [50][6920/10010] Time 0.333 (0.328) Data 0.001 (0.001) Loss 1.9893 (1.7765) Prec@1 51.562 (59.511) Prec@5 76.562 (81.233) Epoch: [50][6930/10010] Time 0.325 (0.328) Data 0.001 (0.001) Loss 2.0559 (1.7767) Prec@1 56.250 (59.507) Prec@5 77.344 (81.231) Epoch: [50][6940/10010] Time 0.331 (0.328) Data 0.000 (0.001) Loss 1.6820 (1.7765) Prec@1 62.500 (59.511) Prec@5 82.031 (81.233) Epoch: [50][6950/10010] Time 0.333 (0.328) Data 0.001 (0.001) Loss 1.4413 (1.7764) Prec@1 67.188 (59.511) Prec@5 84.375 (81.236) Epoch: [50][6960/10010] Time 0.314 (0.328) Data 0.000 (0.001) Loss 1.5478 (1.7764) Prec@1 61.719 (59.511) Prec@5 82.812 (81.236) Epoch: [50][6970/10010] Time 0.328 (0.328) Data 0.000 (0.001) Loss 1.5021 (1.7763) Prec@1 64.844 (59.513) Prec@5 84.375 (81.237) Epoch: [50][6980/10010] Time 0.333 (0.328) Data 0.001 (0.001) Loss 1.6129 (1.7763) Prec@1 63.281 (59.515) Prec@5 84.375 (81.239) Epoch: [50][6990/10010] Time 0.335 (0.328) Data 0.001 (0.001) Loss 1.6005 (1.7762) Prec@1 61.719 (59.514) Prec@5 84.375 (81.240) Epoch: [50][7000/10010] Time 0.331 (0.328) Data 0.001 (0.001) Loss 2.0745 (1.7761) Prec@1 60.156 (59.517) Prec@5 78.125 (81.241) Epoch: [50][7010/10010] Time 0.319 (0.328) Data 0.000 (0.001) Loss 1.9101 (1.7761) Prec@1 57.812 (59.519) Prec@5 80.469 (81.241) Epoch: [50][7020/10010] Time 0.321 (0.328) Data 0.001 (0.001) Loss 2.0306 (1.7761) Prec@1 57.031 (59.520) Prec@5 79.688 (81.242) Epoch: [50][7030/10010] Time 0.317 (0.328) Data 0.001 (0.001) Loss 1.4667 (1.7760) Prec@1 66.406 (59.521) Prec@5 86.719 (81.244) Epoch: [50][7040/10010] Time 0.339 (0.328) Data 0.000 (0.001) Loss 2.0109 (1.7761) Prec@1 56.250 (59.520) Prec@5 80.469 (81.242) Epoch: [50][7050/10010] Time 0.321 (0.328) Data 0.001 (0.001) Loss 1.6578 (1.7761) Prec@1 62.500 (59.522) Prec@5 80.469 (81.243) Epoch: [50][7060/10010] Time 0.326 (0.328) Data 0.000 (0.001) Loss 1.7544 (1.7761) Prec@1 57.812 (59.521) Prec@5 79.688 (81.243) Epoch: [50][7070/10010] Time 0.322 (0.328) Data 0.001 (0.001) Loss 1.5698 (1.7760) Prec@1 67.188 (59.523) Prec@5 84.375 (81.245) Epoch: [50][7080/10010] Time 0.336 (0.328) Data 0.001 (0.001) Loss 1.6418 (1.7761) Prec@1 61.719 (59.520) Prec@5 83.594 (81.242) Epoch: [50][7090/10010] Time 0.319 (0.328) Data 0.000 (0.001) Loss 2.0113 (1.7762) Prec@1 58.594 (59.518) Prec@5 76.562 (81.242) Epoch: [50][7100/10010] Time 0.320 (0.328) Data 0.000 (0.001) Loss 1.8292 (1.7761) Prec@1 52.344 (59.519) Prec@5 81.250 (81.243) Epoch: [50][7110/10010] Time 0.321 (0.328) Data 0.001 (0.001) Loss 1.7392 (1.7762) Prec@1 60.156 (59.517) Prec@5 82.812 (81.243) Epoch: [50][7120/10010] Time 0.318 (0.328) Data 0.000 (0.001) Loss 1.7845 (1.7761) Prec@1 57.031 (59.516) Prec@5 80.469 (81.245) Epoch: [50][7130/10010] Time 0.333 (0.328) Data 0.000 (0.001) Loss 1.6939 (1.7761) Prec@1 60.938 (59.517) Prec@5 84.375 (81.246) Epoch: [50][7140/10010] Time 0.315 (0.328) Data 0.001 (0.001) Loss 1.5008 (1.7760) Prec@1 67.188 (59.517) Prec@5 82.812 (81.245) Epoch: [50][7150/10010] Time 0.333 (0.328) Data 0.001 (0.001) Loss 2.1261 (1.7760) Prec@1 53.906 (59.519) Prec@5 73.438 (81.245) Epoch: [50][7160/10010] Time 0.338 (0.328) Data 0.001 (0.001) Loss 1.7451 (1.7760) Prec@1 64.062 (59.517) Prec@5 85.156 (81.244) Epoch: [50][7170/10010] Time 0.321 (0.328) Data 0.000 (0.001) Loss 1.7040 (1.7762) Prec@1 60.156 (59.514) Prec@5 86.719 (81.243) Epoch: [50][7180/10010] Time 0.319 (0.328) Data 0.001 (0.001) Loss 1.6331 (1.7762) Prec@1 60.156 (59.513) Prec@5 83.594 (81.242) Epoch: [50][7190/10010] Time 0.341 (0.328) Data 0.001 (0.001) Loss 2.0493 (1.7763) Prec@1 53.125 (59.513) Prec@5 78.125 (81.240) Epoch: [50][7200/10010] Time 0.339 (0.328) Data 0.001 (0.001) Loss 1.4867 (1.7763) Prec@1 66.406 (59.513) Prec@5 86.719 (81.239) Epoch: [50][7210/10010] Time 0.312 (0.328) Data 0.000 (0.001) Loss 1.5490 (1.7763) Prec@1 64.844 (59.513) Prec@5 83.594 (81.241) Epoch: [50][7220/10010] Time 0.338 (0.328) Data 0.000 (0.001) Loss 1.8176 (1.7763) Prec@1 63.281 (59.516) Prec@5 79.688 (81.243) Epoch: [50][7230/10010] Time 0.338 (0.328) Data 0.001 (0.001) Loss 1.7489 (1.7764) Prec@1 61.719 (59.514) Prec@5 78.906 (81.240) Epoch: [50][7240/10010] Time 0.340 (0.328) Data 0.001 (0.001) Loss 1.7558 (1.7764) Prec@1 59.375 (59.513) Prec@5 81.250 (81.241) Epoch: [50][7250/10010] Time 0.320 (0.328) Data 0.000 (0.001) Loss 1.9858 (1.7766) Prec@1 61.719 (59.513) Prec@5 78.125 (81.238) Epoch: [50][7260/10010] Time 0.325 (0.328) Data 0.001 (0.001) Loss 1.8576 (1.7766) Prec@1 60.156 (59.512) Prec@5 78.906 (81.238) Epoch: [50][7270/10010] Time 0.342 (0.328) Data 0.001 (0.001) Loss 1.7271 (1.7765) Prec@1 57.031 (59.512) Prec@5 79.688 (81.239) Epoch: [50][7280/10010] Time 0.312 (0.328) Data 0.001 (0.001) Loss 2.0392 (1.7764) Prec@1 53.906 (59.513) Prec@5 73.438 (81.240) Epoch: [50][7290/10010] Time 0.308 (0.328) Data 0.001 (0.001) Loss 2.0441 (1.7765) Prec@1 53.906 (59.512) Prec@5 80.469 (81.240) /data/vision/torralba/deepscene/lib/anaconda2/lib/python2.7/site-packages/PIL/TiffImagePlugin.py:692: UserWarning: Possibly corrupt EXIF data. Expecting to read 2555904 bytes but only got 0. Skipping tag 0 "Skipping tag %s" % (size, len(data), tag)) Epoch: [50][7300/10010] Time 0.330 (0.328) Data 0.001 (0.001) Loss 1.9652 (1.7764) Prec@1 57.031 (59.512) Prec@5 79.688 (81.242) Epoch: [50][7310/10010] Time 0.323 (0.328) Data 0.001 (0.001) Loss 1.7973 (1.7764) Prec@1 60.938 (59.511) Prec@5 79.688 (81.243) Epoch: [50][7320/10010] Time 0.313 (0.328) Data 0.001 (0.001) Loss 1.5489 (1.7764) Prec@1 64.844 (59.512) Prec@5 84.375 (81.244) Epoch: [50][7330/10010] Time 0.324 (0.328) Data 0.000 (0.001) Loss 2.1231 (1.7766) Prec@1 58.594 (59.508) Prec@5 74.219 (81.240) Epoch: [50][7340/10010] Time 0.316 (0.328) Data 0.001 (0.001) Loss 1.8125 (1.7768) Prec@1 60.156 (59.506) Prec@5 82.812 (81.238) Epoch: [50][7350/10010] Time 0.340 (0.328) Data 0.001 (0.001) Loss 1.7742 (1.7768) Prec@1 62.500 (59.506) Prec@5 80.469 (81.237) Epoch: [50][7360/10010] Time 0.341 (0.328) Data 0.001 (0.001) Loss 1.7513 (1.7768) Prec@1 58.594 (59.503) Prec@5 78.906 (81.238) Epoch: [50][7370/10010] Time 0.333 (0.328) Data 0.001 (0.001) Loss 1.7483 (1.7768) Prec@1 54.688 (59.505) Prec@5 81.250 (81.237) Epoch: [50][7380/10010] Time 0.319 (0.328) Data 0.001 (0.001) Loss 1.8314 (1.7767) Prec@1 56.250 (59.507) Prec@5 80.469 (81.239) Epoch: [50][7390/10010] Time 0.323 (0.328) Data 0.001 (0.001) Loss 1.7387 (1.7767) Prec@1 60.938 (59.505) Prec@5 84.375 (81.239) Epoch: [50][7400/10010] Time 0.342 (0.328) Data 0.001 (0.001) Loss 2.0270 (1.7768) Prec@1 60.938 (59.506) Prec@5 75.781 (81.238) Epoch: [50][7410/10010] Time 0.333 (0.328) Data 0.000 (0.001) Loss 2.0710 (1.7767) Prec@1 53.125 (59.506) Prec@5 72.656 (81.238) Epoch: [50][7420/10010] Time 0.329 (0.328) Data 0.001 (0.001) Loss 1.6893 (1.7768) Prec@1 62.500 (59.505) Prec@5 81.250 (81.235) Epoch: [50][7430/10010] Time 0.338 (0.328) Data 0.001 (0.001) Loss 1.8021 (1.7769) Prec@1 53.906 (59.503) Prec@5 82.812 (81.234) Epoch: [50][7440/10010] Time 0.341 (0.328) Data 0.000 (0.001) Loss 1.9292 (1.7768) Prec@1 56.250 (59.502) Prec@5 80.469 (81.235) Epoch: [50][7450/10010] Time 0.323 (0.328) Data 0.000 (0.001) Loss 1.9803 (1.7769) Prec@1 57.812 (59.502) Prec@5 78.125 (81.234) Epoch: [50][7460/10010] Time 0.334 (0.328) Data 0.000 (0.001) Loss 1.6553 (1.7768) Prec@1 56.250 (59.501) Prec@5 84.375 (81.236) Epoch: [50][7470/10010] Time 0.339 (0.328) Data 0.001 (0.001) Loss 1.8582 (1.7769) Prec@1 53.906 (59.496) Prec@5 82.031 (81.237) Epoch: [50][7480/10010] Time 0.318 (0.328) Data 0.001 (0.001) Loss 1.8921 (1.7769) Prec@1 56.250 (59.495) Prec@5 79.688 (81.236) Epoch: [50][7490/10010] Time 0.341 (0.328) Data 0.001 (0.001) Loss 1.6665 (1.7770) Prec@1 60.156 (59.492) Prec@5 83.594 (81.236) Epoch: [50][7500/10010] Time 0.321 (0.328) Data 0.001 (0.001) Loss 1.6010 (1.7770) Prec@1 60.156 (59.490) Prec@5 86.719 (81.236) Epoch: [50][7510/10010] Time 0.337 (0.328) Data 0.001 (0.001) Loss 1.7040 (1.7769) Prec@1 60.156 (59.490) Prec@5 82.031 (81.237) Epoch: [50][7520/10010] Time 0.341 (0.328) Data 0.001 (0.001) Loss 2.0980 (1.7769) Prec@1 54.688 (59.490) Prec@5 78.125 (81.237) Epoch: [50][7530/10010] Time 0.321 (0.328) Data 0.000 (0.001) Loss 1.8061 (1.7769) Prec@1 58.594 (59.489) Prec@5 80.469 (81.235) Epoch: [50][7540/10010] Time 0.317 (0.328) Data 0.001 (0.001) Loss 1.5801 (1.7769) Prec@1 60.938 (59.490) Prec@5 84.375 (81.235) Epoch: [50][7550/10010] Time 0.337 (0.328) Data 0.000 (0.001) Loss 2.1389 (1.7769) Prec@1 54.688 (59.489) Prec@5 78.125 (81.235) Epoch: [50][7560/10010] Time 0.333 (0.328) Data 0.001 (0.001) Loss 1.7005 (1.7770) Prec@1 60.938 (59.488) Prec@5 87.500 (81.233) Epoch: [50][7570/10010] Time 0.339 (0.328) Data 0.001 (0.001) Loss 1.9287 (1.7771) Prec@1 56.250 (59.487) Prec@5 81.250 (81.232) Epoch: [50][7580/10010] Time 0.328 (0.328) Data 0.001 (0.001) Loss 1.6602 (1.7769) Prec@1 64.062 (59.490) Prec@5 82.812 (81.234) Epoch: [50][7590/10010] Time 0.343 (0.328) Data 0.001 (0.001) Loss 2.0721 (1.7769) Prec@1 48.438 (59.488) Prec@5 75.781 (81.233) Epoch: [50][7600/10010] Time 0.319 (0.328) Data 0.001 (0.001) Loss 1.7574 (1.7770) Prec@1 62.500 (59.487) Prec@5 79.688 (81.233) Epoch: [50][7610/10010] Time 0.340 (0.328) Data 0.001 (0.001) Loss 1.6550 (1.7770) Prec@1 64.844 (59.486) Prec@5 84.375 (81.233) Epoch: [50][7620/10010] Time 0.334 (0.328) Data 0.001 (0.001) Loss 1.7167 (1.7769) Prec@1 58.594 (59.484) Prec@5 83.594 (81.234) Epoch: [50][7630/10010] Time 0.322 (0.328) Data 0.001 (0.001) Loss 1.7043 (1.7770) Prec@1 56.250 (59.480) Prec@5 82.031 (81.235) Epoch: [50][7640/10010] Time 0.335 (0.328) Data 0.001 (0.001) Loss 1.6156 (1.7771) Prec@1 64.062 (59.479) Prec@5 83.594 (81.233) Epoch: [50][7650/10010] Time 0.327 (0.328) Data 0.001 (0.001) Loss 1.4321 (1.7771) Prec@1 63.281 (59.478) Prec@5 86.719 (81.233) Epoch: [50][7660/10010] Time 0.337 (0.328) Data 0.001 (0.001) Loss 1.8403 (1.7771) Prec@1 56.250 (59.477) Prec@5 81.250 (81.233) Epoch: [50][7670/10010] Time 0.322 (0.328) Data 0.000 (0.001) Loss 1.6134 (1.7771) Prec@1 63.281 (59.477) Prec@5 82.812 (81.232) Epoch: [50][7680/10010] Time 0.321 (0.328) Data 0.001 (0.001) Loss 1.7989 (1.7771) Prec@1 60.938 (59.478) Prec@5 85.156 (81.231) Epoch: [50][7690/10010] Time 0.319 (0.328) Data 0.000 (0.001) Loss 2.0646 (1.7771) Prec@1 50.000 (59.479) Prec@5 76.562 (81.233) Epoch: [50][7700/10010] Time 0.339 (0.328) Data 0.001 (0.001) Loss 2.2204 (1.7772) Prec@1 51.562 (59.478) Prec@5 73.438 (81.230) Epoch: [50][7710/10010] Time 0.339 (0.328) Data 0.000 (0.001) Loss 1.7128 (1.7771) Prec@1 60.938 (59.480) Prec@5 82.812 (81.231) Epoch: [50][7720/10010] Time 0.327 (0.328) Data 0.001 (0.001) Loss 1.6738 (1.7772) Prec@1 64.844 (59.479) Prec@5 81.250 (81.230) Epoch: [50][7730/10010] Time 0.331 (0.328) Data 0.001 (0.001) Loss 2.0581 (1.7773) Prec@1 57.031 (59.477) Prec@5 76.562 (81.229) Epoch: [50][7740/10010] Time 0.334 (0.328) Data 0.001 (0.001) Loss 1.8276 (1.7774) Prec@1 61.719 (59.476) Prec@5 80.469 (81.227) Epoch: [50][7750/10010] Time 0.334 (0.328) Data 0.000 (0.001) Loss 1.7450 (1.7774) Prec@1 64.062 (59.475) Prec@5 83.594 (81.229) Epoch: [50][7760/10010] Time 0.323 (0.328) Data 0.001 (0.001) Loss 1.6646 (1.7774) Prec@1 63.281 (59.473) Prec@5 82.031 (81.228) Epoch: [50][7770/10010] Time 0.328 (0.328) Data 0.001 (0.001) Loss 1.8771 (1.7775) Prec@1 56.250 (59.470) Prec@5 75.781 (81.227) Epoch: [50][7780/10010] Time 0.334 (0.328) Data 0.001 (0.001) Loss 1.9030 (1.7777) Prec@1 53.906 (59.466) Prec@5 78.125 (81.223) Epoch: [50][7790/10010] Time 0.315 (0.328) Data 0.000 (0.001) Loss 1.5644 (1.7779) Prec@1 64.062 (59.461) Prec@5 84.375 (81.221) Epoch: [50][7800/10010] Time 0.336 (0.328) Data 0.001 (0.001) Loss 1.4565 (1.7779) Prec@1 60.938 (59.460) Prec@5 85.938 (81.221) Epoch: [50][7810/10010] Time 0.311 (0.328) Data 0.000 (0.001) Loss 1.8385 (1.7779) Prec@1 60.156 (59.460) Prec@5 80.469 (81.221) Epoch: [50][7820/10010] Time 0.333 (0.328) Data 0.001 (0.001) Loss 1.6086 (1.7779) Prec@1 60.156 (59.456) Prec@5 83.594 (81.222) Epoch: [50][7830/10010] Time 0.333 (0.328) Data 0.000 (0.001) Loss 1.8321 (1.7779) Prec@1 60.938 (59.460) Prec@5 80.469 (81.224) Epoch: [50][7840/10010] Time 0.309 (0.328) Data 0.001 (0.001) Loss 1.8449 (1.7780) Prec@1 60.156 (59.457) Prec@5 79.688 (81.220) Epoch: [50][7850/10010] Time 0.322 (0.328) Data 0.001 (0.001) Loss 1.7445 (1.7781) Prec@1 60.156 (59.456) Prec@5 82.031 (81.220) Epoch: [50][7860/10010] Time 0.333 (0.328) Data 0.001 (0.001) Loss 1.8378 (1.7781) Prec@1 57.031 (59.456) Prec@5 82.031 (81.219) Epoch: [50][7870/10010] Time 0.322 (0.328) Data 0.001 (0.001) Loss 1.8685 (1.7781) Prec@1 59.375 (59.458) Prec@5 77.344 (81.219) Epoch: [50][7880/10010] Time 0.339 (0.328) Data 0.000 (0.001) Loss 1.6673 (1.7780) Prec@1 64.844 (59.458) Prec@5 85.156 (81.220) Epoch: [50][7890/10010] Time 0.332 (0.328) Data 0.001 (0.001) Loss 1.7526 (1.7780) Prec@1 57.812 (59.459) Prec@5 82.812 (81.220) Epoch: [50][7900/10010] Time 0.322 (0.328) Data 0.001 (0.001) Loss 1.5569 (1.7779) Prec@1 66.406 (59.460) Prec@5 85.938 (81.220) Epoch: [50][7910/10010] Time 0.320 (0.328) Data 0.001 (0.001) Loss 1.5947 (1.7779) Prec@1 59.375 (59.459) Prec@5 82.812 (81.220) Epoch: [50][7920/10010] Time 0.319 (0.328) Data 0.001 (0.001) Loss 1.6734 (1.7780) Prec@1 64.062 (59.459) Prec@5 84.375 (81.220) Epoch: [50][7930/10010] Time 0.329 (0.328) Data 0.001 (0.001) Loss 1.5199 (1.7780) Prec@1 59.375 (59.461) Prec@5 86.719 (81.221) Epoch: [50][7940/10010] Time 0.319 (0.328) Data 0.001 (0.001) Loss 1.6451 (1.7780) Prec@1 62.500 (59.460) Prec@5 85.156 (81.221) Epoch: [50][7950/10010] Time 0.324 (0.328) Data 0.001 (0.001) Loss 1.9566 (1.7780) Prec@1 60.156 (59.460) Prec@5 79.688 (81.222) Epoch: [50][7960/10010] Time 0.335 (0.328) Data 0.001 (0.001) Loss 1.8798 (1.7780) Prec@1 56.250 (59.461) Prec@5 78.125 (81.221) Epoch: [50][7970/10010] Time 0.322 (0.328) Data 0.001 (0.001) Loss 2.0231 (1.7780) Prec@1 55.469 (59.462) Prec@5 75.781 (81.221) Epoch: [50][7980/10010] Time 0.320 (0.328) Data 0.000 (0.001) Loss 1.6999 (1.7780) Prec@1 62.500 (59.462) Prec@5 80.469 (81.220) Epoch: [50][7990/10010] Time 0.312 (0.328) Data 0.001 (0.001) Loss 2.1147 (1.7780) Prec@1 56.250 (59.461) Prec@5 77.344 (81.220) Epoch: [50][8000/10010] Time 0.323 (0.328) Data 0.001 (0.001) Loss 1.6596 (1.7779) Prec@1 57.812 (59.463) Prec@5 84.375 (81.222) Epoch: [50][8010/10010] Time 0.326 (0.328) Data 0.001 (0.001) Loss 1.7958 (1.7779) Prec@1 58.594 (59.462) Prec@5 82.031 (81.223) Epoch: [50][8020/10010] Time 0.334 (0.328) Data 0.001 (0.001) Loss 1.6216 (1.7780) Prec@1 66.406 (59.462) Prec@5 82.812 (81.222) Epoch: [50][8030/10010] Time 0.313 (0.328) Data 0.000 (0.001) Loss 1.8564 (1.7780) Prec@1 58.594 (59.461) Prec@5 75.000 (81.221) Epoch: [50][8040/10010] Time 0.311 (0.328) Data 0.001 (0.001) Loss 1.6558 (1.7780) Prec@1 59.375 (59.460) Prec@5 82.812 (81.221) Epoch: [50][8050/10010] Time 0.314 (0.328) Data 0.001 (0.001) Loss 1.9877 (1.7781) Prec@1 55.469 (59.459) Prec@5 80.469 (81.218) Epoch: [50][8060/10010] Time 0.320 (0.328) Data 0.000 (0.001) Loss 1.6614 (1.7781) Prec@1 60.938 (59.459) Prec@5 84.375 (81.217) Epoch: [50][8070/10010] Time 0.318 (0.328) Data 0.001 (0.001) Loss 2.0942 (1.7781) Prec@1 53.125 (59.457) Prec@5 73.438 (81.215) Epoch: [50][8080/10010] Time 0.328 (0.328) Data 0.001 (0.001) Loss 2.1745 (1.7783) Prec@1 50.000 (59.453) Prec@5 75.781 (81.212) Epoch: [50][8090/10010] Time 0.332 (0.328) Data 0.001 (0.001) Loss 1.7877 (1.7782) Prec@1 57.031 (59.452) Prec@5 80.469 (81.214) Epoch: [50][8100/10010] Time 0.336 (0.328) Data 0.001 (0.001) Loss 1.8256 (1.7782) Prec@1 57.812 (59.452) Prec@5 80.469 (81.214) Epoch: [50][8110/10010] Time 0.332 (0.328) Data 0.000 (0.001) Loss 1.7532 (1.7784) Prec@1 56.250 (59.450) Prec@5 82.031 (81.213) Epoch: [50][8120/10010] Time 0.318 (0.328) Data 0.001 (0.001) Loss 1.7390 (1.7784) Prec@1 59.375 (59.449) Prec@5 81.250 (81.211) Epoch: [50][8130/10010] Time 0.335 (0.328) Data 0.001 (0.001) Loss 1.9596 (1.7784) Prec@1 54.688 (59.451) Prec@5 78.125 (81.212) Epoch: [50][8140/10010] Time 0.326 (0.328) Data 0.001 (0.001) Loss 1.7960 (1.7784) Prec@1 60.938 (59.452) Prec@5 78.125 (81.211) Epoch: [50][8150/10010] Time 0.317 (0.328) Data 0.001 (0.001) Loss 1.6941 (1.7785) Prec@1 60.938 (59.451) Prec@5 82.031 (81.210) Epoch: [50][8160/10010] Time 0.334 (0.328) Data 0.000 (0.001) Loss 1.6650 (1.7784) Prec@1 63.281 (59.453) Prec@5 82.812 (81.211) Epoch: [50][8170/10010] Time 0.322 (0.328) Data 0.001 (0.001) Loss 2.0491 (1.7784) Prec@1 53.125 (59.455) Prec@5 74.219 (81.210) Epoch: [50][8180/10010] Time 0.317 (0.328) Data 0.001 (0.001) Loss 1.6050 (1.7784) Prec@1 58.594 (59.453) Prec@5 82.812 (81.209) Epoch: [50][8190/10010] Time 0.315 (0.328) Data 0.001 (0.001) Loss 1.8080 (1.7784) Prec@1 63.281 (59.454) Prec@5 82.031 (81.208) Epoch: [50][8200/10010] Time 0.332 (0.328) Data 0.001 (0.001) Loss 2.0075 (1.7784) Prec@1 53.125 (59.452) Prec@5 75.000 (81.207) Epoch: [50][8210/10010] Time 0.313 (0.328) Data 0.000 (0.001) Loss 1.5922 (1.7784) Prec@1 60.156 (59.450) Prec@5 83.594 (81.208) Epoch: [50][8220/10010] Time 0.316 (0.328) Data 0.001 (0.001) Loss 1.7748 (1.7783) Prec@1 57.031 (59.451) Prec@5 81.250 (81.210) Epoch: [50][8230/10010] Time 0.321 (0.328) Data 0.001 (0.001) Loss 1.6253 (1.7783) Prec@1 60.938 (59.451) Prec@5 85.156 (81.209) Epoch: [50][8240/10010] Time 0.311 (0.328) Data 0.000 (0.001) Loss 1.4430 (1.7783) Prec@1 64.062 (59.451) Prec@5 88.281 (81.210) Epoch: [50][8250/10010] Time 0.335 (0.328) Data 0.000 (0.001) Loss 1.7476 (1.7782) Prec@1 55.469 (59.452) Prec@5 80.469 (81.211) Epoch: [50][8260/10010] Time 0.341 (0.328) Data 0.001 (0.001) Loss 1.7771 (1.7783) Prec@1 60.938 (59.451) Prec@5 82.031 (81.210) Epoch: [50][8270/10010] Time 0.336 (0.328) Data 0.001 (0.001) Loss 1.5965 (1.7782) Prec@1 67.188 (59.454) Prec@5 81.250 (81.211) Epoch: [50][8280/10010] Time 0.315 (0.328) Data 0.001 (0.001) Loss 1.6055 (1.7782) Prec@1 62.500 (59.456) Prec@5 81.250 (81.210) /data/vision/torralba/deepscene/lib/anaconda2/lib/python2.7/site-packages/PIL/TiffImagePlugin.py:692: UserWarning: Possibly corrupt EXIF data. Expecting to read 1835008 bytes but only got 0. Skipping tag 0 "Skipping tag %s" % (size, len(data), tag)) Epoch: [50][8290/10010] Time 0.315 (0.328) Data 0.001 (0.001) Loss 1.4221 (1.7781) Prec@1 66.406 (59.458) Prec@5 89.062 (81.212) Epoch: [50][8300/10010] Time 0.335 (0.328) Data 0.001 (0.001) Loss 1.7833 (1.7781) Prec@1 62.500 (59.458) Prec@5 81.250 (81.213) Epoch: [50][8310/10010] Time 0.327 (0.328) Data 0.000 (0.001) Loss 1.6503 (1.7781) Prec@1 64.062 (59.458) Prec@5 83.594 (81.212) Epoch: [50][8320/10010] Time 0.326 (0.328) Data 0.000 (0.001) Loss 1.6904 (1.7781) Prec@1 60.156 (59.459) Prec@5 80.469 (81.211) Epoch: [50][8330/10010] Time 0.333 (0.328) Data 0.001 (0.001) Loss 1.8273 (1.7781) Prec@1 61.719 (59.460) Prec@5 79.688 (81.211) Epoch: [50][8340/10010] Time 0.323 (0.328) Data 0.001 (0.001) Loss 1.9216 (1.7781) Prec@1 56.250 (59.461) Prec@5 76.562 (81.212) Epoch: [50][8350/10010] Time 0.317 (0.328) Data 0.001 (0.001) Loss 1.6836 (1.7782) Prec@1 60.156 (59.461) Prec@5 82.031 (81.212) Epoch: [50][8360/10010] Time 0.315 (0.328) Data 0.000 (0.001) Loss 1.6085 (1.7781) Prec@1 59.375 (59.461) Prec@5 85.938 (81.212) Epoch: [50][8370/10010] Time 0.328 (0.328) Data 0.001 (0.001) Loss 1.6184 (1.7780) Prec@1 58.594 (59.463) Prec@5 82.812 (81.214) Epoch: [50][8380/10010] Time 0.333 (0.328) Data 0.001 (0.001) Loss 2.1522 (1.7782) Prec@1 52.344 (59.457) Prec@5 69.531 (81.210) Epoch: [50][8390/10010] Time 0.320 (0.328) Data 0.001 (0.001) Loss 1.7356 (1.7783) Prec@1 58.594 (59.455) Prec@5 81.250 (81.208) Epoch: [50][8400/10010] Time 0.312 (0.328) Data 0.000 (0.001) Loss 2.0075 (1.7783) Prec@1 56.250 (59.456) Prec@5 80.469 (81.208) Epoch: [50][8410/10010] Time 0.341 (0.328) Data 0.001 (0.001) Loss 1.8644 (1.7784) Prec@1 53.125 (59.457) Prec@5 82.031 (81.208) Epoch: [50][8420/10010] Time 0.313 (0.328) Data 0.001 (0.001) Loss 1.6847 (1.7784) Prec@1 64.062 (59.456) Prec@5 82.031 (81.207) Epoch: [50][8430/10010] Time 0.337 (0.328) Data 0.001 (0.001) Loss 1.9304 (1.7783) Prec@1 54.688 (59.457) Prec@5 80.469 (81.209) Epoch: [50][8440/10010] Time 0.318 (0.328) Data 0.001 (0.001) Loss 1.9685 (1.7784) Prec@1 61.719 (59.456) Prec@5 74.219 (81.207) Epoch: [50][8450/10010] Time 0.313 (0.328) Data 0.001 (0.001) Loss 1.7439 (1.7785) Prec@1 59.375 (59.453) Prec@5 85.938 (81.206) Epoch: [50][8460/10010] Time 0.336 (0.328) Data 0.001 (0.001) Loss 1.6363 (1.7786) Prec@1 64.062 (59.451) Prec@5 82.031 (81.204) Epoch: [50][8470/10010] Time 0.314 (0.328) Data 0.001 (0.001) Loss 1.7543 (1.7785) Prec@1 54.688 (59.450) Prec@5 79.688 (81.207) /data/vision/torralba/deepscene/lib/anaconda2/lib/python2.7/site-packages/PIL/TiffImagePlugin.py:692: UserWarning: Possibly corrupt EXIF data. Expecting to read 2555904 bytes but only got 0. Skipping tag 0 "Skipping tag %s" % (size, len(data), tag)) Epoch: [50][8480/10010] Time 0.322 (0.328) Data 0.000 (0.001) Loss 2.0054 (1.7785) Prec@1 52.344 (59.450) Prec@5 78.906 (81.206) Epoch: [50][8490/10010] Time 0.342 (0.328) Data 0.001 (0.001) Loss 1.7681 (1.7786) Prec@1 57.031 (59.448) Prec@5 82.031 (81.204) Epoch: [50][8500/10010] Time 0.333 (0.328) Data 0.001 (0.001) Loss 1.7849 (1.7787) Prec@1 57.031 (59.448) Prec@5 80.469 (81.203) Epoch: [50][8510/10010] Time 0.320 (0.328) Data 0.001 (0.001) Loss 1.7781 (1.7786) Prec@1 60.938 (59.448) Prec@5 79.688 (81.203) Epoch: [50][8520/10010] Time 0.335 (0.328) Data 0.000 (0.001) Loss 2.2661 (1.7787) Prec@1 53.125 (59.448) Prec@5 74.219 (81.202) Epoch: [50][8530/10010] Time 0.324 (0.328) Data 0.001 (0.001) Loss 2.0446 (1.7788) Prec@1 50.781 (59.445) Prec@5 80.469 (81.201) Epoch: [50][8540/10010] Time 0.337 (0.328) Data 0.001 (0.001) Loss 1.7232 (1.7787) Prec@1 57.031 (59.445) Prec@5 79.688 (81.201) Epoch: [50][8550/10010] Time 0.316 (0.328) Data 0.000 (0.001) Loss 1.9064 (1.7788) Prec@1 59.375 (59.442) Prec@5 79.688 (81.201) Epoch: [50][8560/10010] Time 0.318 (0.328) Data 0.001 (0.001) Loss 1.7908 (1.7788) Prec@1 54.688 (59.441) Prec@5 82.812 (81.202) Epoch: [50][8570/10010] Time 0.318 (0.328) Data 0.001 (0.001) Loss 2.0306 (1.7788) Prec@1 53.906 (59.442) Prec@5 78.906 (81.201) Epoch: [50][8580/10010] Time 0.338 (0.328) Data 0.001 (0.001) Loss 1.3885 (1.7788) Prec@1 65.625 (59.443) Prec@5 86.719 (81.202) Epoch: [50][8590/10010] Time 0.319 (0.328) Data 0.001 (0.001) Loss 2.0312 (1.7788) Prec@1 58.594 (59.444) Prec@5 77.344 (81.202) Epoch: [50][8600/10010] Time 0.334 (0.328) Data 0.000 (0.001) Loss 1.8848 (1.7787) Prec@1 63.281 (59.446) Prec@5 80.469 (81.204) Epoch: [50][8610/10010] Time 0.325 (0.328) Data 0.000 (0.001) Loss 1.6555 (1.7787) Prec@1 62.500 (59.446) Prec@5 82.812 (81.205) Epoch: [50][8620/10010] Time 0.318 (0.328) Data 0.001 (0.001) Loss 1.6858 (1.7787) Prec@1 57.812 (59.446) Prec@5 83.594 (81.204) Epoch: [50][8630/10010] Time 0.341 (0.328) Data 0.001 (0.001) Loss 1.5191 (1.7787) Prec@1 64.062 (59.447) Prec@5 82.031 (81.204) Epoch: [50][8640/10010] Time 0.333 (0.328) Data 0.001 (0.001) Loss 1.7055 (1.7788) Prec@1 60.938 (59.447) Prec@5 85.938 (81.204) Epoch: [50][8650/10010] Time 0.340 (0.328) Data 0.000 (0.001) Loss 1.6530 (1.7788) Prec@1 65.625 (59.446) Prec@5 87.500 (81.204) Epoch: [50][8660/10010] Time 0.336 (0.328) Data 0.001 (0.001) Loss 1.8837 (1.7788) Prec@1 57.812 (59.445) Prec@5 79.688 (81.204) Epoch: [50][8670/10010] Time 0.338 (0.328) Data 0.000 (0.001) Loss 1.7404 (1.7788) Prec@1 59.375 (59.444) Prec@5 78.906 (81.205) Epoch: [50][8680/10010] Time 0.337 (0.328) Data 0.003 (0.001) Loss 1.7235 (1.7788) Prec@1 63.281 (59.446) Prec@5 83.594 (81.204) Epoch: [50][8690/10010] Time 0.322 (0.328) Data 0.001 (0.001) Loss 1.5692 (1.7787) Prec@1 57.812 (59.448) Prec@5 85.938 (81.207) Epoch: [50][8700/10010] Time 0.326 (0.328) Data 0.001 (0.001) Loss 1.9201 (1.7787) Prec@1 58.594 (59.449) Prec@5 81.250 (81.207) Epoch: [50][8710/10010] Time 0.319 (0.328) Data 0.001 (0.001) Loss 1.6901 (1.7787) Prec@1 63.281 (59.448) Prec@5 82.812 (81.206) Epoch: [50][8720/10010] Time 0.330 (0.328) Data 0.001 (0.001) Loss 1.7797 (1.7787) Prec@1 54.688 (59.446) Prec@5 82.031 (81.206) Epoch: [50][8730/10010] Time 0.331 (0.328) Data 0.000 (0.001) Loss 1.8320 (1.7786) Prec@1 61.719 (59.449) Prec@5 81.250 (81.208) Epoch: [50][8740/10010] Time 0.315 (0.328) Data 0.001 (0.001) Loss 1.7245 (1.7787) Prec@1 57.812 (59.447) Prec@5 79.688 (81.207) Epoch: [50][8750/10010] Time 0.329 (0.328) Data 0.001 (0.001) Loss 1.3742 (1.7788) Prec@1 65.625 (59.446) Prec@5 89.062 (81.206) Epoch: [50][8760/10010] Time 0.319 (0.328) Data 0.001 (0.001) Loss 1.5675 (1.7787) Prec@1 61.719 (59.447) Prec@5 85.938 (81.207) Epoch: [50][8770/10010] Time 0.317 (0.328) Data 0.001 (0.001) Loss 2.0059 (1.7787) Prec@1 53.906 (59.446) Prec@5 80.469 (81.207) Epoch: [50][8780/10010] Time 0.321 (0.328) Data 0.001 (0.001) Loss 1.7728 (1.7787) Prec@1 58.594 (59.446) Prec@5 80.469 (81.206) Epoch: [50][8790/10010] Time 0.322 (0.328) Data 0.000 (0.001) Loss 1.7151 (1.7788) Prec@1 62.500 (59.445) Prec@5 82.812 (81.205) Epoch: [50][8800/10010] Time 0.337 (0.328) Data 0.001 (0.001) Loss 1.7657 (1.7787) Prec@1 60.938 (59.445) Prec@5 79.688 (81.205) Epoch: [50][8810/10010] Time 0.343 (0.328) Data 0.001 (0.001) Loss 1.8688 (1.7788) Prec@1 59.375 (59.446) Prec@5 82.031 (81.205) Epoch: [50][8820/10010] Time 0.324 (0.328) Data 0.001 (0.001) Loss 1.4428 (1.7787) Prec@1 67.188 (59.447) Prec@5 86.719 (81.207) Epoch: [50][8830/10010] Time 0.336 (0.328) Data 0.001 (0.001) Loss 2.0880 (1.7788) Prec@1 53.906 (59.446) Prec@5 73.438 (81.205) /data/vision/torralba/deepscene/lib/anaconda2/lib/python2.7/site-packages/PIL/TiffImagePlugin.py:692: UserWarning: Possibly corrupt EXIF data. Expecting to read 19660800 bytes but only got 0. Skipping tag 0 "Skipping tag %s" % (size, len(data), tag)) /data/vision/torralba/deepscene/lib/anaconda2/lib/python2.7/site-packages/PIL/TiffImagePlugin.py:692: UserWarning: Possibly corrupt EXIF data. Expecting to read 18481152 bytes but only got 0. Skipping tag 0 "Skipping tag %s" % (size, len(data), tag)) /data/vision/torralba/deepscene/lib/anaconda2/lib/python2.7/site-packages/PIL/TiffImagePlugin.py:692: UserWarning: Possibly corrupt EXIF data. Expecting to read 37093376 bytes but only got 0. Skipping tag 0 "Skipping tag %s" % (size, len(data), tag)) /data/vision/torralba/deepscene/lib/anaconda2/lib/python2.7/site-packages/PIL/TiffImagePlugin.py:692: UserWarning: Possibly corrupt EXIF data. Expecting to read 39976960 bytes but only got 0. Skipping tag 0 "Skipping tag %s" % (size, len(data), tag)) /data/vision/torralba/deepscene/lib/anaconda2/lib/python2.7/site-packages/PIL/TiffImagePlugin.py:692: UserWarning: Possibly corrupt EXIF data. Expecting to read 34865152 bytes but only got 0. Skipping tag 0 "Skipping tag %s" % (size, len(data), tag)) /data/vision/torralba/deepscene/lib/anaconda2/lib/python2.7/site-packages/PIL/TiffImagePlugin.py:709: UserWarning: Corrupt EXIF data. Expecting to read 12 bytes but only got 10. warnings.warn(str(msg)) Epoch: [50][8840/10010] Time 0.325 (0.328) Data 0.001 (0.001) Loss 2.0043 (1.7788) Prec@1 55.469 (59.449) Prec@5 82.031 (81.206) Epoch: [50][8850/10010] Time 0.342 (0.328) Data 0.000 (0.001) Loss 1.9569 (1.7787) Prec@1 58.594 (59.451) Prec@5 77.344 (81.206) Epoch: [50][8860/10010] Time 0.338 (0.328) Data 0.001 (0.001) Loss 1.8232 (1.7787) Prec@1 58.594 (59.453) Prec@5 80.469 (81.207) Epoch: [50][8870/10010] Time 0.339 (0.328) Data 0.001 (0.001) Loss 1.5740 (1.7786) Prec@1 68.750 (59.457) Prec@5 85.938 (81.209) Epoch: [50][8880/10010] Time 0.315 (0.328) Data 0.001 (0.001) Loss 1.7863 (1.7785) Prec@1 61.719 (59.458) Prec@5 81.250 (81.210) Epoch: [50][8890/10010] Time 0.328 (0.328) Data 0.001 (0.001) Loss 1.8925 (1.7786) Prec@1 60.938 (59.456) Prec@5 84.375 (81.210) Epoch: [50][8900/10010] Time 0.337 (0.328) Data 0.001 (0.001) Loss 1.8042 (1.7785) Prec@1 56.250 (59.454) Prec@5 78.906 (81.211) Epoch: [50][8910/10010] Time 0.315 (0.328) Data 0.001 (0.001) Loss 1.5207 (1.7785) Prec@1 67.969 (59.454) Prec@5 85.156 (81.211) Epoch: [50][8920/10010] Time 0.338 (0.328) Data 0.000 (0.001) Loss 1.9180 (1.7785) Prec@1 59.375 (59.456) Prec@5 79.688 (81.211) Epoch: [50][8930/10010] Time 0.334 (0.328) Data 0.001 (0.001) Loss 1.9007 (1.7785) Prec@1 58.594 (59.457) Prec@5 80.469 (81.211) Epoch: [50][8940/10010] Time 0.318 (0.328) Data 0.001 (0.001) Loss 2.0211 (1.7785) Prec@1 60.938 (59.459) Prec@5 77.344 (81.212) Epoch: [50][8950/10010] Time 0.320 (0.328) Data 0.001 (0.001) Loss 2.0445 (1.7786) Prec@1 55.469 (59.458) Prec@5 79.688 (81.211) Epoch: [50][8960/10010] Time 0.318 (0.328) Data 0.000 (0.001) Loss 1.9677 (1.7785) Prec@1 56.250 (59.457) Prec@5 78.906 (81.211) Epoch: [50][8970/10010] Time 0.326 (0.328) Data 0.001 (0.001) Loss 1.5573 (1.7785) Prec@1 65.625 (59.457) Prec@5 80.469 (81.211) Epoch: [50][8980/10010] Time 0.342 (0.328) Data 0.001 (0.001) Loss 1.8112 (1.7785) Prec@1 55.469 (59.457) Prec@5 80.469 (81.211) Epoch: [50][8990/10010] Time 0.341 (0.328) Data 0.001 (0.001) Loss 1.8866 (1.7785) Prec@1 53.125 (59.456) Prec@5 78.906 (81.211) Epoch: [50][9000/10010] Time 0.342 (0.328) Data 0.001 (0.001) Loss 1.5507 (1.7786) Prec@1 63.281 (59.454) Prec@5 84.375 (81.211) Epoch: [50][9010/10010] Time 0.337 (0.328) Data 0.001 (0.001) Loss 1.4363 (1.7786) Prec@1 60.938 (59.452) Prec@5 85.938 (81.210) Epoch: [50][9020/10010] Time 0.320 (0.328) Data 0.001 (0.001) Loss 1.8444 (1.7786) Prec@1 59.375 (59.452) Prec@5 82.031 (81.210) Epoch: [50][9030/10010] Time 0.336 (0.328) Data 0.001 (0.001) Loss 1.8674 (1.7786) Prec@1 55.469 (59.452) Prec@5 82.031 (81.210) Epoch: [50][9040/10010] Time 0.318 (0.328) Data 0.000 (0.001) Loss 1.7355 (1.7786) Prec@1 64.844 (59.453) Prec@5 78.125 (81.210) Epoch: [50][9050/10010] Time 0.337 (0.328) Data 0.000 (0.001) Loss 1.5922 (1.7785) Prec@1 62.500 (59.453) Prec@5 81.250 (81.212) Epoch: [50][9060/10010] Time 0.317 (0.328) Data 0.000 (0.001) Loss 1.9049 (1.7786) Prec@1 56.250 (59.450) Prec@5 80.469 (81.212) Epoch: [50][9070/10010] Time 0.332 (0.328) Data 0.001 (0.001) Loss 1.7210 (1.7786) Prec@1 61.719 (59.450) Prec@5 86.719 (81.211) Epoch: [50][9080/10010] Time 0.338 (0.328) Data 0.000 (0.001) Loss 1.4136 (1.7786) Prec@1 64.062 (59.450) Prec@5 89.844 (81.212) Epoch: [50][9090/10010] Time 0.311 (0.328) Data 0.001 (0.001) Loss 1.6975 (1.7786) Prec@1 63.281 (59.452) Prec@5 80.469 (81.211) Epoch: [50][9100/10010] Time 0.325 (0.328) Data 0.001 (0.001) Loss 1.8722 (1.7787) Prec@1 51.562 (59.448) Prec@5 81.250 (81.209) Epoch: [50][9110/10010] Time 0.321 (0.328) Data 0.001 (0.001) Loss 1.6245 (1.7787) Prec@1 63.281 (59.449) Prec@5 83.594 (81.211) Epoch: [50][9120/10010] Time 0.317 (0.328) Data 0.001 (0.001) Loss 1.5241 (1.7788) Prec@1 60.156 (59.444) Prec@5 85.938 (81.208) Epoch: [50][9130/10010] Time 0.339 (0.328) Data 0.000 (0.001) Loss 1.8618 (1.7790) Prec@1 58.594 (59.442) Prec@5 81.250 (81.207) Epoch: [50][9140/10010] Time 0.322 (0.328) Data 0.001 (0.001) Loss 1.7776 (1.7790) Prec@1 64.844 (59.443) Prec@5 82.031 (81.207) Epoch: [50][9150/10010] Time 0.319 (0.328) Data 0.000 (0.001) Loss 1.7739 (1.7790) Prec@1 59.375 (59.444) Prec@5 83.594 (81.208) Epoch: [50][9160/10010] Time 0.340 (0.328) Data 0.001 (0.001) Loss 2.0300 (1.7791) Prec@1 60.938 (59.442) Prec@5 76.562 (81.205) Epoch: [50][9170/10010] Time 0.317 (0.328) Data 0.001 (0.001) Loss 1.5958 (1.7792) Prec@1 63.281 (59.439) Prec@5 82.812 (81.203) Epoch: [50][9180/10010] Time 0.338 (0.328) Data 0.001 (0.001) Loss 2.0560 (1.7792) Prec@1 61.719 (59.440) Prec@5 78.125 (81.202) Epoch: [50][9190/10010] Time 0.328 (0.328) Data 0.001 (0.001) Loss 1.7396 (1.7792) Prec@1 61.719 (59.441) Prec@5 81.250 (81.201) Epoch: [50][9200/10010] Time 0.334 (0.328) Data 0.001 (0.001) Loss 1.5404 (1.7792) Prec@1 66.406 (59.439) Prec@5 86.719 (81.201) Epoch: [50][9210/10010] Time 0.322 (0.328) Data 0.001 (0.001) Loss 1.8223 (1.7793) Prec@1 60.938 (59.437) Prec@5 81.250 (81.200) Epoch: [50][9220/10010] Time 0.321 (0.328) Data 0.001 (0.001) Loss 1.6264 (1.7794) Prec@1 62.500 (59.436) Prec@5 82.031 (81.198) Epoch: [50][9230/10010] Time 0.344 (0.328) Data 0.001 (0.001) Loss 1.9482 (1.7794) Prec@1 61.719 (59.436) Prec@5 80.469 (81.198) Epoch: [50][9240/10010] Time 0.335 (0.328) Data 0.001 (0.001) Loss 1.5357 (1.7794) Prec@1 63.281 (59.436) Prec@5 85.156 (81.198) Epoch: [50][9250/10010] Time 0.337 (0.328) Data 0.001 (0.001) Loss 1.7927 (1.7795) Prec@1 57.031 (59.435) Prec@5 79.688 (81.195) Epoch: [50][9260/10010] Time 0.314 (0.328) Data 0.001 (0.001) Loss 1.6893 (1.7795) Prec@1 62.500 (59.433) Prec@5 82.031 (81.195) Epoch: [50][9270/10010] Time 0.321 (0.328) Data 0.000 (0.001) Loss 1.6564 (1.7795) Prec@1 68.750 (59.430) Prec@5 82.812 (81.195) Epoch: [50][9280/10010] Time 0.322 (0.328) Data 0.001 (0.001) Loss 1.8082 (1.7795) Prec@1 56.250 (59.429) Prec@5 80.469 (81.195) Epoch: [50][9290/10010] Time 0.320 (0.328) Data 0.001 (0.001) Loss 1.7926 (1.7795) Prec@1 58.594 (59.430) Prec@5 75.000 (81.195) Epoch: [50][9300/10010] Time 0.331 (0.328) Data 0.001 (0.001) Loss 1.5568 (1.7795) Prec@1 64.844 (59.430) Prec@5 82.812 (81.196) Epoch: [50][9310/10010] Time 0.320 (0.328) Data 0.001 (0.001) Loss 1.7594 (1.7796) Prec@1 60.938 (59.429) Prec@5 82.812 (81.195) Epoch: [50][9320/10010] Time 0.324 (0.328) Data 0.000 (0.001) Loss 1.8120 (1.7796) Prec@1 61.719 (59.429) Prec@5 78.906 (81.195) Epoch: [50][9330/10010] Time 0.338 (0.328) Data 0.001 (0.001) Loss 1.9287 (1.7795) Prec@1 57.812 (59.429) Prec@5 77.344 (81.195) Epoch: [50][9340/10010] Time 0.338 (0.328) Data 0.001 (0.001) Loss 1.7600 (1.7795) Prec@1 61.719 (59.431) Prec@5 82.812 (81.194) Epoch: [50][9350/10010] Time 0.325 (0.328) Data 0.001 (0.001) Loss 1.7850 (1.7796) Prec@1 59.375 (59.430) Prec@5 82.031 (81.194) Epoch: [50][9360/10010] Time 0.320 (0.328) Data 0.001 (0.001) Loss 1.6172 (1.7795) Prec@1 64.062 (59.431) Prec@5 82.812 (81.194) Epoch: [50][9370/10010] Time 0.315 (0.328) Data 0.000 (0.001) Loss 2.0981 (1.7796) Prec@1 56.250 (59.431) Prec@5 73.438 (81.193) Epoch: [50][9380/10010] Time 0.316 (0.328) Data 0.001 (0.001) Loss 2.0370 (1.7796) Prec@1 55.469 (59.431) Prec@5 73.438 (81.192) Epoch: [50][9390/10010] Time 0.328 (0.328) Data 0.001 (0.001) Loss 1.8102 (1.7797) Prec@1 59.375 (59.430) Prec@5 81.250 (81.193) Epoch: [50][9400/10010] Time 0.317 (0.328) Data 0.001 (0.001) Loss 2.0549 (1.7797) Prec@1 53.906 (59.428) Prec@5 72.656 (81.192) Epoch: [50][9410/10010] Time 0.320 (0.328) Data 0.001 (0.001) Loss 2.0502 (1.7798) Prec@1 53.906 (59.427) Prec@5 75.000 (81.190) Epoch: [50][9420/10010] Time 0.324 (0.328) Data 0.001 (0.001) Loss 1.5836 (1.7799) Prec@1 60.156 (59.427) Prec@5 83.594 (81.191) Epoch: [50][9430/10010] Time 0.312 (0.328) Data 0.001 (0.001) Loss 1.6390 (1.7799) Prec@1 59.375 (59.425) Prec@5 82.031 (81.191) Epoch: [50][9440/10010] Time 0.333 (0.328) Data 0.000 (0.001) Loss 2.0742 (1.7800) Prec@1 50.000 (59.425) Prec@5 76.562 (81.190) Epoch: [50][9450/10010] Time 0.332 (0.328) Data 0.001 (0.001) Loss 1.7068 (1.7799) Prec@1 58.594 (59.426) Prec@5 82.031 (81.191) Epoch: [50][9460/10010] Time 0.337 (0.328) Data 0.001 (0.001) Loss 1.8566 (1.7799) Prec@1 59.375 (59.425) Prec@5 82.031 (81.191) Epoch: [50][9470/10010] Time 0.327 (0.328) Data 0.001 (0.001) Loss 1.8003 (1.7799) Prec@1 55.469 (59.423) Prec@5 82.031 (81.192) Epoch: [50][9480/10010] Time 0.323 (0.328) Data 0.000 (0.001) Loss 1.6371 (1.7799) Prec@1 63.281 (59.424) Prec@5 83.594 (81.193) Epoch: [50][9490/10010] Time 0.320 (0.328) Data 0.001 (0.001) Loss 1.7341 (1.7800) Prec@1 61.719 (59.423) Prec@5 85.156 (81.192) Epoch: [50][9500/10010] Time 0.326 (0.328) Data 0.000 (0.001) Loss 1.8933 (1.7799) Prec@1 56.250 (59.424) Prec@5 80.469 (81.194) Epoch: [50][9510/10010] Time 0.331 (0.328) Data 0.001 (0.001) Loss 1.6923 (1.7798) Prec@1 62.500 (59.426) Prec@5 82.812 (81.195) Epoch: [50][9520/10010] Time 0.332 (0.328) Data 0.001 (0.001) Loss 1.9453 (1.7799) Prec@1 55.469 (59.424) Prec@5 78.906 (81.194) Epoch: [50][9530/10010] Time 0.312 (0.328) Data 0.001 (0.001) Loss 1.6582 (1.7798) Prec@1 56.250 (59.425) Prec@5 81.250 (81.196) Epoch: [50][9540/10010] Time 0.338 (0.328) Data 0.000 (0.001) Loss 2.1250 (1.7799) Prec@1 47.656 (59.422) Prec@5 78.125 (81.196) Epoch: [50][9550/10010] Time 0.340 (0.328) Data 0.000 (0.001) Loss 1.7625 (1.7799) Prec@1 62.500 (59.421) Prec@5 82.031 (81.196) Epoch: [50][9560/10010] Time 0.315 (0.328) Data 0.001 (0.001) Loss 1.6015 (1.7799) Prec@1 59.375 (59.419) Prec@5 82.812 (81.195) Epoch: [50][9570/10010] Time 0.339 (0.328) Data 0.001 (0.001) Loss 1.8174 (1.7799) Prec@1 57.812 (59.421) Prec@5 81.250 (81.197) Epoch: [50][9580/10010] Time 0.323 (0.328) Data 0.001 (0.001) Loss 1.6259 (1.7799) Prec@1 60.156 (59.422) Prec@5 82.812 (81.198) Epoch: [50][9590/10010] Time 0.321 (0.328) Data 0.001 (0.001) Loss 1.5665 (1.7798) Prec@1 64.844 (59.423) Prec@5 85.938 (81.199) Epoch: [50][9600/10010] Time 0.323 (0.328) Data 0.001 (0.001) Loss 1.8813 (1.7798) Prec@1 58.594 (59.422) Prec@5 79.688 (81.198) Epoch: [50][9610/10010] Time 0.335 (0.328) Data 0.001 (0.001) Loss 1.9122 (1.7798) Prec@1 56.250 (59.423) Prec@5 81.250 (81.199) Epoch: [50][9620/10010] Time 0.327 (0.328) Data 0.001 (0.001) Loss 1.8173 (1.7799) Prec@1 61.719 (59.423) Prec@5 82.812 (81.198) Epoch: [50][9630/10010] Time 0.321 (0.328) Data 0.001 (0.001) Loss 1.7571 (1.7799) Prec@1 61.719 (59.423) Prec@5 80.469 (81.198) Epoch: [50][9640/10010] Time 0.328 (0.328) Data 0.001 (0.001) Loss 1.6274 (1.7798) Prec@1 56.250 (59.424) Prec@5 83.594 (81.200) Epoch: [50][9650/10010] Time 0.320 (0.328) Data 0.001 (0.001) Loss 1.9267 (1.7799) Prec@1 57.031 (59.421) Prec@5 78.906 (81.198) Epoch: [50][9660/10010] Time 0.336 (0.328) Data 0.001 (0.001) Loss 1.7816 (1.7799) Prec@1 57.031 (59.423) Prec@5 84.375 (81.200) Epoch: [50][9670/10010] Time 0.335 (0.328) Data 0.001 (0.001) Loss 1.7217 (1.7800) Prec@1 63.281 (59.420) Prec@5 79.688 (81.196) Epoch: [50][9680/10010] Time 0.345 (0.328) Data 0.000 (0.001) Loss 1.5154 (1.7800) Prec@1 65.625 (59.419) Prec@5 89.844 (81.196) Epoch: [50][9690/10010] Time 0.322 (0.328) Data 0.000 (0.001) Loss 1.8745 (1.7800) Prec@1 57.031 (59.418) Prec@5 75.781 (81.196) Epoch: [50][9700/10010] Time 0.339 (0.328) Data 0.000 (0.001) Loss 1.5818 (1.7801) Prec@1 60.938 (59.418) Prec@5 84.375 (81.195) Epoch: [50][9710/10010] Time 0.333 (0.328) Data 0.001 (0.001) Loss 2.0187 (1.7801) Prec@1 58.594 (59.417) Prec@5 79.688 (81.194) Epoch: [50][9720/10010] Time 0.324 (0.328) Data 0.001 (0.001) Loss 1.7789 (1.7802) Prec@1 59.375 (59.415) Prec@5 80.469 (81.194) Epoch: [50][9730/10010] Time 0.319 (0.328) Data 0.001 (0.001) Loss 1.6855 (1.7801) Prec@1 61.719 (59.416) Prec@5 85.156 (81.195) Epoch: [50][9740/10010] Time 0.320 (0.328) Data 0.001 (0.001) Loss 1.8514 (1.7802) Prec@1 58.594 (59.414) Prec@5 77.344 (81.195) Epoch: [50][9750/10010] Time 0.329 (0.328) Data 0.001 (0.001) Loss 1.9249 (1.7802) Prec@1 54.688 (59.413) Prec@5 82.812 (81.194) Epoch: [50][9760/10010] Time 0.316 (0.328) Data 0.000 (0.001) Loss 1.6897 (1.7803) Prec@1 61.719 (59.410) Prec@5 81.250 (81.193) Epoch: [50][9770/10010] Time 0.340 (0.328) Data 0.000 (0.001) Loss 1.7937 (1.7803) Prec@1 54.688 (59.409) Prec@5 80.469 (81.193) Epoch: [50][9780/10010] Time 0.319 (0.328) Data 0.001 (0.001) Loss 1.9647 (1.7804) Prec@1 56.250 (59.410) Prec@5 76.562 (81.192) Epoch: [50][9790/10010] Time 0.320 (0.328) Data 0.001 (0.001) Loss 2.0006 (1.7805) Prec@1 63.281 (59.411) Prec@5 79.688 (81.190) Epoch: [50][9800/10010] Time 0.335 (0.328) Data 0.001 (0.001) Loss 1.8117 (1.7805) Prec@1 57.031 (59.409) Prec@5 80.469 (81.188) Epoch: [50][9810/10010] Time 0.333 (0.328) Data 0.000 (0.001) Loss 1.9978 (1.7805) Prec@1 58.594 (59.411) Prec@5 78.125 (81.188) Epoch: [50][9820/10010] Time 0.323 (0.328) Data 0.000 (0.001) Loss 1.8697 (1.7804) Prec@1 57.031 (59.413) Prec@5 80.469 (81.189) Epoch: [50][9830/10010] Time 0.316 (0.328) Data 0.001 (0.001) Loss 1.6063 (1.7804) Prec@1 60.938 (59.414) Prec@5 84.375 (81.189) Epoch: [50][9840/10010] Time 0.327 (0.328) Data 0.000 (0.001) Loss 2.1014 (1.7804) Prec@1 55.469 (59.416) Prec@5 78.125 (81.190) Epoch: [50][9850/10010] Time 0.335 (0.328) Data 0.001 (0.001) Loss 1.5349 (1.7804) Prec@1 63.281 (59.417) Prec@5 85.156 (81.189) Epoch: [50][9860/10010] Time 0.332 (0.328) Data 0.001 (0.001) Loss 1.7281 (1.7804) Prec@1 59.375 (59.417) Prec@5 84.375 (81.189) Epoch: [50][9870/10010] Time 0.323 (0.328) Data 0.001 (0.001) Loss 1.9716 (1.7804) Prec@1 57.812 (59.416) Prec@5 75.781 (81.188) Epoch: [50][9880/10010] Time 0.309 (0.328) Data 0.001 (0.001) Loss 2.1062 (1.7805) Prec@1 53.906 (59.415) Prec@5 82.812 (81.188) Epoch: [50][9890/10010] Time 0.318 (0.328) Data 0.001 (0.001) Loss 1.8293 (1.7804) Prec@1 62.500 (59.416) Prec@5 81.250 (81.188) Epoch: [50][9900/10010] Time 0.318 (0.328) Data 0.001 (0.001) Loss 1.9099 (1.7804) Prec@1 59.375 (59.416) Prec@5 79.688 (81.187) Epoch: [50][9910/10010] Time 0.334 (0.328) Data 0.001 (0.001) Loss 1.7426 (1.7804) Prec@1 60.156 (59.416) Prec@5 80.469 (81.188) Epoch: [50][9920/10010] Time 0.330 (0.328) Data 0.001 (0.001) Loss 1.7319 (1.7803) Prec@1 63.281 (59.418) Prec@5 82.031 (81.190) Epoch: [50][9930/10010] Time 0.321 (0.328) Data 0.001 (0.001) Loss 1.4408 (1.7803) Prec@1 68.750 (59.419) Prec@5 86.719 (81.192) Epoch: [50][9940/10010] Time 0.333 (0.328) Data 0.000 (0.001) Loss 1.9033 (1.7803) Prec@1 54.688 (59.418) Prec@5 75.781 (81.191) Epoch: [50][9950/10010] Time 0.323 (0.328) Data 0.001 (0.001) Loss 1.8943 (1.7803) Prec@1 53.125 (59.419) Prec@5 78.125 (81.191) Epoch: [50][9960/10010] Time 0.310 (0.328) Data 0.001 (0.001) Loss 1.9202 (1.7804) Prec@1 64.062 (59.418) Prec@5 77.344 (81.189) Epoch: [50][9970/10010] Time 0.319 (0.327) Data 0.001 (0.001) Loss 1.6579 (1.7804) Prec@1 64.844 (59.416) Prec@5 82.812 (81.189) Epoch: [50][9980/10010] Time 0.336 (0.327) Data 0.001 (0.001) Loss 1.8004 (1.7805) Prec@1 55.469 (59.416) Prec@5 82.031 (81.188) Epoch: [50][9990/10010] Time 0.339 (0.327) Data 0.001 (0.001) Loss 1.7034 (1.7805) Prec@1 66.406 (59.416) Prec@5 83.594 (81.187) Epoch: [50][10000/10010] Time 0.319 (0.327) Data 0.000 (0.001) Loss 2.3672 (1.7807) Prec@1 46.094 (59.414) Prec@5 68.750 (81.184) Test: [0/391] Time 1.215 (1.215) Loss 0.9520 (0.9520) Prec@1 79.688 (79.688) Prec@5 89.844 (89.844) Test: [10/391] Time 0.107 (0.219) Loss 1.8981 (0.9244) Prec@1 62.500 (78.409) Prec@5 82.031 (91.548) Test: [20/391] Time 0.108 (0.166) Loss 1.4149 (1.2822) Prec@1 67.188 (70.015) Prec@5 85.938 (87.686) Test: [30/391] Time 0.112 (0.148) Loss 1.9934 (1.4334) Prec@1 58.594 (66.179) Prec@5 82.812 (86.668) Test: [40/391] Time 0.105 (0.141) Loss 1.3657 (1.2876) Prec@1 67.969 (69.207) Prec@5 88.281 (88.091) Test: [50/391] Time 0.107 (0.134) Loss 0.6831 (1.3394) Prec@1 82.031 (68.352) Prec@5 95.312 (87.362) Test: [60/391] Time 0.105 (0.130) Loss 0.9245 (1.2464) Prec@1 76.562 (70.479) Prec@5 93.750 (88.473) Test: [70/391] Time 0.099 (0.127) Loss 1.6913 (1.2860) Prec@1 49.219 (68.937) Prec@5 87.500 (88.369) Test: [80/391] Time 0.109 (0.125) Loss 1.2661 (1.3011) Prec@1 67.969 (67.872) Prec@5 87.500 (88.493) Test: [90/391] Time 0.101 (0.123) Loss 1.3956 (1.3054) Prec@1 56.250 (67.797) Prec@5 87.500 (88.504) Test: [100/391] Time 0.106 (0.121) Loss 1.1082 (1.2888) Prec@1 66.406 (67.621) Prec@5 94.531 (88.954) Test: [110/391] Time 0.108 (0.119) Loss 1.8849 (1.2940) Prec@1 49.219 (67.356) Prec@5 85.156 (89.006) Test: [120/391] Time 0.109 (0.119) Loss 1.0192 (1.2824) Prec@1 72.656 (67.652) Prec@5 95.312 (89.211) Test: [130/391] Time 0.103 (0.118) Loss 0.6670 (1.2732) Prec@1 85.156 (68.046) Prec@5 96.094 (89.331) Test: [140/391] Time 0.104 (0.117) Loss 1.3419 (1.2641) Prec@1 65.625 (68.190) Prec@5 89.844 (89.495) Test: [150/391] Time 0.109 (0.116) Loss 1.2378 (1.2647) Prec@1 59.375 (68.186) Prec@5 87.500 (89.419) Test: [160/391] Time 0.101 (0.115) Loss 1.2218 (1.2681) Prec@1 70.312 (68.260) Prec@5 88.281 (89.349) Test: [170/391] Time 0.104 (0.115) Loss 2.1512 (1.3026) Prec@1 42.188 (67.672) Prec@5 80.469 (88.907) Test: [180/391] Time 0.103 (0.114) Loss 2.4715 (1.3370) Prec@1 44.531 (66.976) Prec@5 78.125 (88.419) Test: [190/391] Time 0.103 (0.114) Loss 2.4152 (1.3747) Prec@1 47.656 (66.279) Prec@5 80.469 (87.860) Test: [200/391] Time 0.111 (0.114) Loss 1.6560 (1.4076) Prec@1 50.781 (65.691) Prec@5 85.938 (87.407) Test: [210/391] Time 0.102 (0.113) Loss 1.7360 (1.4275) Prec@1 60.938 (65.340) Prec@5 82.031 (87.159) Test: [220/391] Time 0.099 (0.113) Loss 0.8717 (1.4373) Prec@1 78.906 (65.190) Prec@5 93.750 (86.956) Test: [230/391] Time 0.107 (0.113) Loss 2.5125 (1.4489) Prec@1 42.188 (65.006) Prec@5 71.875 (86.817) Test: [240/391] Time 0.110 (0.113) Loss 1.7699 (1.4581) Prec@1 66.406 (64.999) Prec@5 81.250 (86.628) Test: [250/391] Time 0.107 (0.112) Loss 1.4774 (1.4871) Prec@1 64.844 (64.433) Prec@5 83.594 (86.249) Test: [260/391] Time 0.103 (0.112) Loss 2.1718 (1.5064) Prec@1 57.031 (63.988) Prec@5 75.781 (86.054) Test: [270/391] Time 0.113 (0.112) Loss 2.3595 (1.5165) Prec@1 42.969 (63.774) Prec@5 76.562 (85.857) Test: [280/391] Time 0.116 (0.112) Loss 1.2519 (1.5212) Prec@1 68.750 (63.779) Prec@5 90.625 (85.818) Test: [290/391] Time 0.108 (0.112) Loss 2.2609 (1.5358) Prec@1 37.500 (63.501) Prec@5 75.781 (85.588) Test: [300/391] Time 0.101 (0.112) Loss 1.7416 (1.5449) Prec@1 68.750 (63.364) Prec@5 83.594 (85.429) Test: [310/391] Time 0.105 (0.112) Loss 1.9513 (1.5597) Prec@1 61.719 (63.146) Prec@5 78.906 (85.159) Test: [320/391] Time 0.104 (0.112) Loss 0.8607 (1.5659) Prec@1 80.469 (63.035) Prec@5 92.188 (85.074) Test: [330/391] Time 0.108 (0.111) Loss 2.4137 (1.5889) Prec@1 49.219 (62.557) Prec@5 73.438 (84.734) Test: [340/391] Time 0.101 (0.111) Loss 1.4070 (1.5957) Prec@1 55.469 (62.328) Prec@5 92.188 (84.673) Test: [350/391] Time 0.113 (0.111) Loss 1.7537 (1.6008) Prec@1 57.812 (62.260) Prec@5 87.500 (84.582) Test: [360/391] Time 0.099 (0.111) Loss 1.5513 (1.6084) Prec@1 55.469 (62.102) Prec@5 89.844 (84.505) Test: [370/391] Time 0.102 (0.111) Loss 1.5561 (1.6026) Prec@1 53.125 (62.176) Prec@5 89.844 (84.588) Test: [380/391] Time 0.103 (0.110) Loss 1.0993 (1.6021) Prec@1 71.094 (62.182) Prec@5 91.406 (84.580) Test: [390/391] Time 0.070 (0.110) Loss 2.6006 (1.5944) Prec@1 32.500 (62.346) Prec@5 70.000 (84.676) * Prec@1 62.346 Prec@5 84.676 Epoch: [51][0/10010] Time 2.398 (2.398) Data 2.214 (2.214) Loss 1.8577 (1.8577) Prec@1 57.031 (57.031) Prec@5 76.562 (76.562) Epoch: [51][10/10010] Time 0.317 (0.507) Data 0.001 (0.206) Loss 1.8063 (1.7511) Prec@1 57.031 (59.517) Prec@5 79.688 (80.540) Epoch: [51][20/10010] Time 0.311 (0.416) Data 0.001 (0.108) Loss 1.6711 (1.7774) Prec@1 63.281 (59.040) Prec@5 83.594 (80.692) Epoch: [51][30/10010] Time 0.318 (0.385) Data 0.001 (0.073) Loss 1.7082 (1.7621) Prec@1 57.812 (59.148) Prec@5 83.594 (81.149) /data/vision/torralba/deepscene/lib/anaconda2/lib/python2.7/site-packages/PIL/TiffImagePlugin.py:692: UserWarning: Possibly corrupt EXIF data. Expecting to read 2555904 bytes but only got 0. Skipping tag 0 "Skipping tag %s" % (size, len(data), tag)) Epoch: [51][40/10010] Time 0.318 (0.368) Data 0.001 (0.056) Loss 1.7840 (1.7265) Prec@1 54.688 (59.756) Prec@5 81.250 (82.012) Epoch: [51][50/10010] Time 0.316 (0.360) Data 0.001 (0.045) Loss 1.6636 (1.7218) Prec@1 62.500 (60.095) Prec@5 83.594 (82.322) Epoch: [51][60/10010] Time 0.328 (0.356) Data 0.001 (0.038) Loss 1.8906 (1.7313) Prec@1 57.031 (59.772) Prec@5 78.906 (82.262) Epoch: [51][70/10010] Time 0.341 (0.353) Data 0.001 (0.032) Loss 1.6380 (1.7215) Prec@1 64.062 (60.222) Prec@5 85.938 (82.449) Epoch: [51][80/10010] Time 0.322 (0.350) Data 0.001 (0.029) Loss 1.5208 (1.7198) Prec@1 63.281 (60.455) Prec@5 86.719 (82.446) Epoch: [51][90/10010] Time 0.339 (0.348) Data 0.000 (0.025) Loss 1.5106 (1.7248) Prec@1 66.406 (60.440) Prec@5 82.031 (82.409) Epoch: [51][100/10010] Time 0.338 (0.346) Data 0.000 (0.023) Loss 1.6396 (1.7254) Prec@1 58.594 (60.489) Prec@5 81.250 (82.263) Epoch: [51][110/10010] Time 0.342 (0.345) Data 0.001 (0.021) Loss 1.8955 (1.7381) Prec@1 54.688 (60.262) Prec@5 77.344 (81.996) Epoch: [51][120/10010] Time 0.314 (0.344) Data 0.000 (0.019) Loss 1.9858 (1.7409) Prec@1 55.469 (60.234) Prec@5 78.906 (81.980) Epoch: [51][130/10010] Time 0.328 (0.342) Data 0.000 (0.018) Loss 1.8302 (1.7432) Prec@1 60.156 (60.240) Prec@5 77.344 (81.948) Epoch: [51][140/10010] Time 0.316 (0.341) Data 0.001 (0.017) Loss 1.9011 (1.7465) Prec@1 55.469 (60.189) Prec@5 74.219 (81.826) Epoch: [51][150/10010] Time 0.340 (0.340) Data 0.001 (0.016) Loss 1.7556 (1.7458) Prec@1 58.594 (60.120) Prec@5 82.812 (81.762) Epoch: [51][160/10010] Time 0.332 (0.339) Data 0.001 (0.015) Loss 1.8058 (1.7434) Prec@1 60.156 (60.200) Prec@5 82.031 (81.764) Epoch: [51][170/10010] Time 0.315 (0.339) Data 0.000 (0.014) Loss 1.6697 (1.7380) Prec@1 58.594 (60.266) Prec@5 78.906 (81.803) Epoch: [51][180/10010] Time 0.315 (0.338) Data 0.001 (0.013) Loss 1.4060 (1.7386) Prec@1 68.750 (60.372) Prec@5 88.281 (81.746) Epoch: [51][190/10010] Time 0.325 (0.337) Data 0.001 (0.012) Loss 1.5975 (1.7373) Prec@1 64.844 (60.447) Prec@5 82.031 (81.741) Epoch: [51][200/10010] Time 0.340 (0.337) Data 0.001 (0.012) Loss 1.6234 (1.7427) Prec@1 55.469 (60.292) Prec@5 85.156 (81.650) Epoch: [51][210/10010] Time 0.322 (0.336) Data 0.000 (0.011) Loss 1.7322 (1.7448) Prec@1 60.156 (60.253) Prec@5 84.375 (81.635) Epoch: [51][220/10010] Time 0.337 (0.335) Data 0.000 (0.011) Loss 1.8476 (1.7423) Prec@1 51.562 (60.308) Prec@5 79.688 (81.692) Epoch: [51][230/10010] Time 0.327 (0.335) Data 0.000 (0.010) Loss 1.8046 (1.7432) Prec@1 57.812 (60.224) Prec@5 82.812 (81.666) Epoch: [51][240/10010] Time 0.316 (0.335) Data 0.001 (0.010) Loss 1.4331 (1.7399) Prec@1 67.969 (60.348) Prec@5 85.156 (81.727) Epoch: [51][250/10010] Time 0.342 (0.335) Data 0.001 (0.010) Loss 1.5152 (1.7370) Prec@1 64.062 (60.346) Prec@5 86.719 (81.820) Epoch: [51][260/10010] Time 0.316 (0.334) Data 0.000 (0.009) Loss 1.9101 (1.7370) Prec@1 60.938 (60.288) Prec@5 79.688 (81.828) Epoch: [51][270/10010] Time 0.319 (0.334) Data 0.001 (0.009) Loss 2.0854 (1.7397) Prec@1 57.031 (60.280) Prec@5 78.906 (81.801) Epoch: [51][280/10010] Time 0.315 (0.334) Data 0.000 (0.009) Loss 1.5076 (1.7426) Prec@1 66.406 (60.198) Prec@5 85.156 (81.762) Epoch: [51][290/10010] Time 0.316 (0.333) Data 0.001 (0.008) Loss 2.0895 (1.7466) Prec@1 50.000 (60.140) Prec@5 75.781 (81.647) Epoch: [51][300/10010] Time 0.331 (0.333) Data 0.001 (0.008) Loss 1.6272 (1.7469) Prec@1 59.375 (60.138) Prec@5 81.250 (81.624) Epoch: [51][310/10010] Time 0.335 (0.333) Data 0.001 (0.008) Loss 1.6940 (1.7436) Prec@1 64.844 (60.247) Prec@5 79.688 (81.644) Epoch: [51][320/10010] Time 0.339 (0.333) Data 0.001 (0.008) Loss 1.6519 (1.7418) Prec@1 65.625 (60.329) Prec@5 81.250 (81.669) Epoch: [51][330/10010] Time 0.327 (0.332) Data 0.001 (0.007) Loss 1.8612 (1.7425) Prec@1 59.375 (60.303) Prec@5 78.125 (81.647) Epoch: [51][340/10010] Time 0.329 (0.332) Data 0.001 (0.007) Loss 1.7368 (1.7426) Prec@1 60.938 (60.340) Prec@5 81.250 (81.674) Epoch: [51][350/10010] Time 0.329 (0.332) Data 0.001 (0.007) Loss 1.8558 (1.7478) Prec@1 64.062 (60.245) Prec@5 79.688 (81.577) Epoch: [51][360/10010] Time 0.311 (0.332) Data 0.001 (0.007) Loss 1.5555 (1.7469) Prec@1 66.406 (60.254) Prec@5 85.156 (81.618) Epoch: [51][370/10010] Time 0.324 (0.332) Data 0.001 (0.007) Loss 1.5666 (1.7468) Prec@1 61.719 (60.257) Prec@5 82.031 (81.589) Epoch: [51][380/10010] Time 0.323 (0.331) Data 0.000 (0.007) Loss 1.8245 (1.7487) Prec@1 52.344 (60.203) Prec@5 84.375 (81.564) Epoch: [51][390/10010] Time 0.325 (0.331) Data 0.001 (0.006) Loss 1.7324 (1.7476) Prec@1 63.281 (60.212) Prec@5 81.250 (81.578) Epoch: [51][400/10010] Time 0.310 (0.331) Data 0.000 (0.006) Loss 1.8571 (1.7476) Prec@1 60.156 (60.254) Prec@5 79.688 (81.573) Epoch: [51][410/10010] Time 0.331 (0.331) Data 0.001 (0.006) Loss 2.0921 (1.7487) Prec@1 52.344 (60.206) Prec@5 75.781 (81.566) Epoch: [51][420/10010] Time 0.326 (0.331) Data 0.001 (0.006) Loss 2.0472 (1.7495) Prec@1 47.656 (60.216) Prec@5 78.125 (81.538) Epoch: [51][430/10010] Time 0.334 (0.331) Data 0.001 (0.006) Loss 1.7097 (1.7489) Prec@1 60.938 (60.209) Prec@5 84.375 (81.556) Epoch: [51][440/10010] Time 0.319 (0.330) Data 0.001 (0.006) Loss 1.5508 (1.7473) Prec@1 62.500 (60.202) Prec@5 85.938 (81.601) Epoch: [51][450/10010] Time 0.321 (0.330) Data 0.000 (0.006) Loss 1.6165 (1.7472) Prec@1 64.844 (60.196) Prec@5 79.688 (81.602) Epoch: [51][460/10010] Time 0.312 (0.330) Data 0.001 (0.006) Loss 1.7780 (1.7452) Prec@1 57.812 (60.258) Prec@5 78.906 (81.640) Epoch: [51][470/10010] Time 0.323 (0.330) Data 0.001 (0.005) Loss 1.8123 (1.7469) Prec@1 60.156 (60.236) Prec@5 85.938 (81.635) Epoch: [51][480/10010] Time 0.325 (0.330) Data 0.000 (0.005) Loss 1.9215 (1.7493) Prec@1 55.469 (60.184) Prec@5 78.125 (81.604) Epoch: [51][490/10010] Time 0.320 (0.329) Data 0.000 (0.005) Loss 1.7118 (1.7481) Prec@1 57.812 (60.193) Prec@5 84.375 (81.627) Epoch: [51][500/10010] Time 0.323 (0.329) Data 0.001 (0.005) Loss 1.7324 (1.7468) Prec@1 60.156 (60.192) Prec@5 82.031 (81.671) Epoch: [51][510/10010] Time 0.324 (0.329) Data 0.000 (0.005) Loss 1.9353 (1.7484) Prec@1 53.125 (60.147) Prec@5 84.375 (81.649) Epoch: [51][520/10010] Time 0.316 (0.329) Data 0.000 (0.005) Loss 1.6889 (1.7483) Prec@1 60.156 (60.134) Prec@5 82.031 (81.671) Epoch: [51][530/10010] Time 0.330 (0.329) Data 0.001 (0.005) Loss 1.7640 (1.7502) Prec@1 57.031 (60.097) Prec@5 79.688 (81.634) Epoch: [51][540/10010] Time 0.320 (0.329) Data 0.001 (0.005) Loss 1.6551 (1.7495) Prec@1 60.938 (60.094) Prec@5 83.594 (81.628) Epoch: [51][550/10010] Time 0.316 (0.329) Data 0.001 (0.005) Loss 2.0094 (1.7494) Prec@1 57.812 (60.119) Prec@5 75.781 (81.620) Epoch: [51][560/10010] Time 0.336 (0.329) Data 0.000 (0.005) Loss 1.7222 (1.7478) Prec@1 60.156 (60.155) Prec@5 83.594 (81.654) Epoch: [51][570/10010] Time 0.317 (0.329) Data 0.001 (0.005) Loss 1.4601 (1.7480) Prec@1 66.406 (60.136) Prec@5 85.156 (81.659) Epoch: [51][580/10010] Time 0.337 (0.329) Data 0.001 (0.005) Loss 1.9681 (1.7489) Prec@1 53.906 (60.143) Prec@5 79.688 (81.648) Epoch: [51][590/10010] Time 0.319 (0.328) Data 0.001 (0.004) Loss 1.7198 (1.7502) Prec@1 59.375 (60.109) Prec@5 82.812 (81.612) Epoch: [51][600/10010] Time 0.317 (0.328) Data 0.000 (0.004) Loss 2.0127 (1.7488) Prec@1 52.344 (60.115) Prec@5 79.688 (81.630) Epoch: [51][610/10010] Time 0.323 (0.328) Data 0.000 (0.004) Loss 1.8511 (1.7482) Prec@1 53.125 (60.122) Prec@5 76.562 (81.630) Epoch: [51][620/10010] Time 0.331 (0.328) Data 0.000 (0.004) Loss 1.5949 (1.7463) Prec@1 57.031 (60.150) Prec@5 85.938 (81.658) Epoch: [51][630/10010] Time 0.336 (0.328) Data 0.001 (0.004) Loss 1.9049 (1.7456) Prec@1 53.906 (60.169) Prec@5 79.688 (81.661) Epoch: [51][640/10010] Time 0.321 (0.328) Data 0.000 (0.004) Loss 1.7837 (1.7455) Prec@1 57.031 (60.164) Prec@5 81.250 (81.657) Epoch: [51][650/10010] Time 0.330 (0.328) Data 0.000 (0.004) Loss 1.6170 (1.7449) Prec@1 60.938 (60.187) Prec@5 85.156 (81.677) Epoch: [51][660/10010] Time 0.319 (0.328) Data 0.001 (0.004) Loss 1.6336 (1.7447) Prec@1 60.938 (60.200) Prec@5 82.812 (81.671) Epoch: [51][670/10010] Time 0.320 (0.328) Data 0.000 (0.004) Loss 1.8416 (1.7452) Prec@1 57.812 (60.192) Prec@5 75.000 (81.646) Epoch: [51][680/10010] Time 0.312 (0.328) Data 0.001 (0.004) Loss 1.6180 (1.7463) Prec@1 62.500 (60.176) Prec@5 82.031 (81.625) Epoch: [51][690/10010] Time 0.327 (0.328) Data 0.001 (0.004) Loss 1.7204 (1.7457) Prec@1 62.500 (60.186) Prec@5 78.906 (81.628) Epoch: [51][700/10010] Time 0.336 (0.328) Data 0.001 (0.004) Loss 1.8592 (1.7450) Prec@1 59.375 (60.195) Prec@5 78.125 (81.634) Epoch: [51][710/10010] Time 0.339 (0.328) Data 0.000 (0.004) Loss 2.2272 (1.7475) Prec@1 56.250 (60.152) Prec@5 71.875 (81.592) Epoch: [51][720/10010] Time 0.311 (0.328) Data 0.001 (0.004) Loss 2.0083 (1.7478) Prec@1 57.031 (60.156) Prec@5 74.219 (81.582) Epoch: [51][730/10010] Time 0.338 (0.328) Data 0.000 (0.004) Loss 1.8148 (1.7492) Prec@1 60.938 (60.137) Prec@5 82.812 (81.567) Epoch: [51][740/10010] Time 0.322 (0.328) Data 0.001 (0.004) Loss 1.4019 (1.7487) Prec@1 65.625 (60.143) Prec@5 83.594 (81.576) Epoch: [51][750/10010] Time 0.321 (0.328) Data 0.001 (0.004) Loss 1.8599 (1.7498) Prec@1 58.594 (60.120) Prec@5 78.125 (81.554) Epoch: [51][760/10010] Time 0.322 (0.328) Data 0.000 (0.004) Loss 1.7130 (1.7491) Prec@1 62.500 (60.141) Prec@5 81.250 (81.562) Epoch: [51][770/10010] Time 0.323 (0.328) Data 0.000 (0.004) Loss 1.7721 (1.7490) Prec@1 57.812 (60.137) Prec@5 83.594 (81.573) Epoch: [51][780/10010] Time 0.335 (0.328) Data 0.001 (0.004) Loss 1.6973 (1.7495) Prec@1 61.719 (60.111) Prec@5 80.469 (81.576) Epoch: [51][790/10010] Time 0.313 (0.328) Data 0.001 (0.003) Loss 1.7903 (1.7507) Prec@1 60.156 (60.089) Prec@5 78.125 (81.553) Epoch: [51][800/10010] Time 0.322 (0.328) Data 0.001 (0.003) Loss 1.5597 (1.7504) Prec@1 65.625 (60.088) Prec@5 83.594 (81.552) Epoch: [51][810/10010] Time 0.316 (0.328) Data 0.001 (0.003) Loss 1.6234 (1.7513) Prec@1 65.625 (60.067) Prec@5 82.812 (81.528) Epoch: [51][820/10010] Time 0.341 (0.328) Data 0.000 (0.003) Loss 1.4391 (1.7509) Prec@1 71.094 (60.082) Prec@5 85.156 (81.535) /data/vision/torralba/deepscene/lib/anaconda2/lib/python2.7/site-packages/PIL/TiffImagePlugin.py:692: UserWarning: Possibly corrupt EXIF data. Expecting to read 2555904 bytes but only got 0. Skipping tag 0 "Skipping tag %s" % (size, len(data), tag)) Epoch: [51][830/10010] Time 0.330 (0.328) Data 0.001 (0.003) Loss 1.9212 (1.7511) Prec@1 55.469 (60.090) Prec@5 78.125 (81.536) Epoch: [51][840/10010] Time 0.337 (0.328) Data 0.001 (0.003) Loss 1.6689 (1.7513) Prec@1 60.938 (60.093) Prec@5 79.688 (81.524) Epoch: [51][850/10010] Time 0.328 (0.328) Data 0.001 (0.003) Loss 1.6139 (1.7519) Prec@1 64.844 (60.068) Prec@5 82.812 (81.505) Epoch: [51][860/10010] Time 0.344 (0.328) Data 0.001 (0.003) Loss 1.8976 (1.7524) Prec@1 62.500 (60.074) Prec@5 82.812 (81.501) Epoch: [51][870/10010] Time 0.334 (0.328) Data 0.001 (0.003) Loss 1.8189 (1.7520) Prec@1 60.156 (60.090) Prec@5 79.688 (81.515) Epoch: [51][880/10010] Time 0.339 (0.328) Data 0.000 (0.003) Loss 1.9452 (1.7519) Prec@1 48.438 (60.091) Prec@5 82.031 (81.520) Epoch: [51][890/10010] Time 0.325 (0.328) Data 0.000 (0.003) Loss 1.8308 (1.7524) Prec@1 57.031 (60.081) Prec@5 79.688 (81.512) Epoch: [51][900/10010] Time 0.323 (0.328) Data 0.000 (0.003) Loss 2.0255 (1.7535) Prec@1 57.812 (60.077) Prec@5 79.688 (81.488) Epoch: [51][910/10010] Time 0.314 (0.328) Data 0.001 (0.003) Loss 1.6253 (1.7541) Prec@1 63.281 (60.064) Prec@5 81.250 (81.485) Epoch: [51][920/10010] Time 0.326 (0.328) Data 0.000 (0.003) Loss 1.7082 (1.7547) Prec@1 60.156 (60.051) Prec@5 82.031 (81.483) Epoch: [51][930/10010] Time 0.340 (0.328) Data 0.000 (0.003) Loss 1.6913 (1.7538) Prec@1 60.156 (60.061) Prec@5 84.375 (81.498) Epoch: [51][940/10010] Time 0.329 (0.328) Data 0.000 (0.003) Loss 1.6911 (1.7543) Prec@1 62.500 (60.046) Prec@5 80.469 (81.494) Epoch: [51][950/10010] Time 0.336 (0.328) Data 0.001 (0.003) Loss 2.0475 (1.7544) Prec@1 55.469 (60.044) Prec@5 75.000 (81.497) Epoch: [51][960/10010] Time 0.313 (0.328) Data 0.000 (0.003) Loss 1.9348 (1.7555) Prec@1 53.906 (60.020) Prec@5 78.125 (81.488) Epoch: [51][970/10010] Time 0.341 (0.328) Data 0.000 (0.003) Loss 1.6797 (1.7557) Prec@1 57.812 (60.024) Prec@5 80.469 (81.481) Epoch: [51][980/10010] Time 0.318 (0.328) Data 0.001 (0.003) Loss 1.5925 (1.7560) Prec@1 62.500 (60.015) Prec@5 85.156 (81.473) Epoch: [51][990/10010] Time 0.335 (0.328) Data 0.001 (0.003) Loss 1.7571 (1.7561) Prec@1 54.688 (60.015) Prec@5 79.688 (81.477) Epoch: [51][1000/10010] Time 0.320 (0.328) Data 0.001 (0.003) Loss 1.9348 (1.7559) Prec@1 58.594 (60.013) Prec@5 81.250 (81.483) /data/vision/torralba/deepscene/lib/anaconda2/lib/python2.7/site-packages/PIL/TiffImagePlugin.py:692: UserWarning: Possibly corrupt EXIF data. Expecting to read 1835008 bytes but only got 0. Skipping tag 0 "Skipping tag %s" % (size, len(data), tag)) Epoch: [51][1010/10010] Time 0.335 (0.328) Data 0.001 (0.003) Loss 1.7437 (1.7564) Prec@1 60.938 (60.014) Prec@5 81.250 (81.475) Epoch: [51][1020/10010] Time 0.338 (0.328) Data 0.001 (0.003) Loss 1.4808 (1.7570) Prec@1 67.188 (60.002) Prec@5 88.281 (81.471) Epoch: [51][1030/10010] Time 0.329 (0.328) Data 0.001 (0.003) Loss 1.6090 (1.7564) Prec@1 60.938 (60.027) Prec@5 85.156 (81.480) Epoch: [51][1040/10010] Time 0.337 (0.328) Data 0.001 (0.003) Loss 1.7012 (1.7560) Prec@1 61.719 (60.029) Prec@5 80.469 (81.480) Epoch: [51][1050/10010] Time 0.317 (0.328) Data 0.000 (0.003) Loss 1.7291 (1.7563) Prec@1 60.938 (60.025) Prec@5 81.250 (81.480) Epoch: [51][1060/10010] Time 0.334 (0.328) Data 0.000 (0.003) Loss 1.8808 (1.7564) Prec@1 56.250 (60.026) Prec@5 78.906 (81.480) Epoch: [51][1070/10010] Time 0.324 (0.328) Data 0.001 (0.003) Loss 1.4334 (1.7556) Prec@1 65.625 (60.040) Prec@5 88.281 (81.497) Epoch: [51][1080/10010] Time 0.326 (0.328) Data 0.000 (0.003) Loss 1.6291 (1.7560) Prec@1 60.156 (60.037) Prec@5 81.250 (81.499) Epoch: [51][1090/10010] Time 0.339 (0.328) Data 0.000 (0.003) Loss 1.7769 (1.7548) Prec@1 64.062 (60.075) Prec@5 82.031 (81.514) Epoch: [51][1100/10010] Time 0.322 (0.328) Data 0.000 (0.003) Loss 1.5946 (1.7536) Prec@1 60.938 (60.097) Prec@5 86.719 (81.527) Epoch: [51][1110/10010] Time 0.333 (0.328) Data 0.000 (0.003) Loss 1.4871 (1.7533) Prec@1 63.281 (60.094) Prec@5 85.938 (81.528) Epoch: [51][1120/10010] Time 0.322 (0.328) Data 0.001 (0.003) Loss 1.7149 (1.7524) Prec@1 54.688 (60.105) Prec@5 80.469 (81.536) Epoch: [51][1130/10010] Time 0.342 (0.328) Data 0.000 (0.003) Loss 1.8517 (1.7524) Prec@1 64.062 (60.104) Prec@5 78.906 (81.530) Epoch: [51][1140/10010] Time 0.338 (0.328) Data 0.000 (0.003) Loss 1.8908 (1.7527) Prec@1 58.594 (60.096) Prec@5 82.031 (81.526) Epoch: [51][1150/10010] Time 0.312 (0.328) Data 0.000 (0.003) Loss 1.7041 (1.7537) Prec@1 59.375 (60.073) Prec@5 85.156 (81.511) /data/vision/torralba/deepscene/lib/anaconda2/lib/python2.7/site-packages/PIL/TiffImagePlugin.py:709: UserWarning: Corrupt EXIF data. Expecting to read 4 bytes but only got 0. warnings.warn(str(msg)) Epoch: [51][1160/10010] Time 0.335 (0.328) Data 0.001 (0.003) Loss 1.5552 (1.7534) Prec@1 62.500 (60.088) Prec@5 86.719 (81.516) Epoch: [51][1170/10010] Time 0.312 (0.328) Data 0.000 (0.003) Loss 1.7883 (1.7540) Prec@1 57.812 (60.062) Prec@5 80.469 (81.510) Epoch: [51][1180/10010] Time 0.329 (0.328) Data 0.000 (0.003) Loss 1.8712 (1.7542) Prec@1 60.938 (60.061) Prec@5 78.906 (81.501) Epoch: [51][1190/10010] Time 0.324 (0.328) Data 0.001 (0.003) Loss 1.7133 (1.7543) Prec@1 60.938 (60.065) Prec@5 82.812 (81.505) Epoch: [51][1200/10010] Time 0.333 (0.328) Data 0.001 (0.003) Loss 1.7330 (1.7539) Prec@1 60.156 (60.079) Prec@5 78.906 (81.504) Epoch: [51][1210/10010] Time 0.312 (0.328) Data 0.000 (0.002) Loss 1.7873 (1.7541) Prec@1 60.938 (60.072) Prec@5 80.469 (81.502) Epoch: [51][1220/10010] Time 0.330 (0.328) Data 0.001 (0.002) Loss 2.1526 (1.7541) Prec@1 53.906 (60.073) Prec@5 69.531 (81.498) Epoch: [51][1230/10010] Time 0.308 (0.328) Data 0.000 (0.002) Loss 1.3205 (1.7546) Prec@1 66.406 (60.060) Prec@5 88.281 (81.485) Epoch: [51][1240/10010] Time 0.316 (0.328) Data 0.001 (0.002) Loss 1.8580 (1.7553) Prec@1 61.719 (60.042) Prec@5 79.688 (81.470) Epoch: [51][1250/10010] Time 0.323 (0.328) Data 0.000 (0.002) Loss 2.0724 (1.7544) Prec@1 57.812 (60.066) Prec@5 76.562 (81.488) Epoch: [51][1260/10010] Time 0.328 (0.328) Data 0.000 (0.002) Loss 1.7227 (1.7548) Prec@1 61.719 (60.051) Prec@5 82.812 (81.478) Epoch: [51][1270/10010] Time 0.336 (0.328) Data 0.001 (0.002) Loss 1.6986 (1.7550) Prec@1 58.594 (60.039) Prec@5 81.250 (81.468) Epoch: [51][1280/10010] Time 0.316 (0.328) Data 0.001 (0.002) Loss 2.3596 (1.7564) Prec@1 53.125 (60.026) Prec@5 74.219 (81.443) Epoch: [51][1290/10010] Time 0.323 (0.328) Data 0.000 (0.002) Loss 1.9250 (1.7570) Prec@1 55.469 (60.007) Prec@5 78.906 (81.432) Epoch: [51][1300/10010] Time 0.322 (0.328) Data 0.001 (0.002) Loss 1.5413 (1.7568) Prec@1 62.500 (60.007) Prec@5 83.594 (81.434) Epoch: [51][1310/10010] Time 0.321 (0.327) Data 0.001 (0.002) Loss 1.4177 (1.7569) Prec@1 66.406 (60.007) Prec@5 86.719 (81.437) Epoch: [51][1320/10010] Time 0.328 (0.327) Data 0.001 (0.002) Loss 1.6657 (1.7565) Prec@1 65.625 (60.007) Prec@5 81.250 (81.444) Epoch: [51][1330/10010] Time 0.330 (0.327) Data 0.000 (0.002) Loss 1.1318 (1.7560) Prec@1 70.312 (60.017) Prec@5 91.406 (81.455) Epoch: [51][1340/10010] Time 0.315 (0.327) Data 0.000 (0.002) Loss 1.7778 (1.7556) Prec@1 58.594 (60.030) Prec@5 77.344 (81.454) Epoch: [51][1350/10010] Time 0.320 (0.327) Data 0.001 (0.002) Loss 1.7911 (1.7554) Prec@1 57.031 (60.026) Prec@5 81.250 (81.462) Epoch: [51][1360/10010] Time 0.336 (0.327) Data 0.001 (0.002) Loss 1.3963 (1.7551) Prec@1 65.625 (60.028) Prec@5 87.500 (81.467) Epoch: [51][1370/10010] Time 0.327 (0.327) Data 0.000 (0.002) Loss 1.4740 (1.7552) Prec@1 67.188 (60.039) Prec@5 84.375 (81.465) Epoch: [51][1380/10010] Time 0.329 (0.327) Data 0.001 (0.002) Loss 1.5974 (1.7549) Prec@1 63.281 (60.051) Prec@5 82.812 (81.472) Epoch: [51][1390/10010] Time 0.323 (0.327) Data 0.001 (0.002) Loss 1.8194 (1.7549) Prec@1 58.594 (60.046) Prec@5 82.812 (81.479) Epoch: [51][1400/10010] Time 0.320 (0.327) Data 0.000 (0.002) Loss 1.3615 (1.7541) Prec@1 68.750 (60.048) Prec@5 85.938 (81.488) Epoch: [51][1410/10010] Time 0.328 (0.327) Data 0.000 (0.002) Loss 1.8501 (1.7553) Prec@1 64.062 (60.029) Prec@5 75.781 (81.465) Epoch: [51][1420/10010] Time 0.328 (0.327) Data 0.001 (0.002) Loss 2.1296 (1.7559) Prec@1 53.906 (60.020) Prec@5 76.562 (81.456) Epoch: [51][1430/10010] Time 0.313 (0.327) Data 0.000 (0.002) Loss 1.5808 (1.7556) Prec@1 64.844 (60.022) Prec@5 82.031 (81.465) Epoch: [51][1440/10010] Time 0.315 (0.327) Data 0.000 (0.002) Loss 1.9103 (1.7555) Prec@1 55.469 (60.021) Prec@5 80.469 (81.466) Epoch: [51][1450/10010] Time 0.328 (0.327) Data 0.000 (0.002) Loss 1.7947 (1.7558) Prec@1 60.938 (60.014) Prec@5 78.906 (81.452) Epoch: [51][1460/10010] Time 0.321 (0.327) Data 0.000 (0.002) Loss 1.5984 (1.7551) Prec@1 59.375 (60.020) Prec@5 84.375 (81.459) Epoch: [51][1470/10010] Time 0.336 (0.327) Data 0.001 (0.002) Loss 1.8803 (1.7560) Prec@1 60.156 (60.008) Prec@5 80.469 (81.449) Epoch: [51][1480/10010] Time 0.332 (0.327) Data 0.001 (0.002) Loss 2.0282 (1.7567) Prec@1 50.000 (59.992) Prec@5 82.031 (81.445) Epoch: [51][1490/10010] Time 0.324 (0.327) Data 0.000 (0.002) Loss 1.7432 (1.7571) Prec@1 61.719 (59.979) Prec@5 84.375 (81.444) Epoch: [51][1500/10010] Time 0.319 (0.327) Data 0.000 (0.002) Loss 2.0003 (1.7565) Prec@1 54.688 (59.977) Prec@5 77.344 (81.457) Epoch: [51][1510/10010] Time 0.315 (0.327) Data 0.000 (0.002) Loss 2.0438 (1.7570) Prec@1 56.250 (59.975) Prec@5 74.219 (81.445) Epoch: [51][1520/10010] Time 0.329 (0.327) Data 0.000 (0.002) Loss 1.8191 (1.7572) Prec@1 57.031 (59.971) Prec@5 82.812 (81.449) Epoch: [51][1530/10010] Time 0.311 (0.327) Data 0.001 (0.002) Loss 1.8053 (1.7573) Prec@1 59.375 (59.972) Prec@5 80.469 (81.443) Epoch: [51][1540/10010] Time 0.332 (0.327) Data 0.000 (0.002) Loss 1.6252 (1.7575) Prec@1 62.500 (59.965) Prec@5 82.812 (81.438) Epoch: [51][1550/10010] Time 0.333 (0.327) Data 0.001 (0.002) Loss 1.9274 (1.7583) Prec@1 55.469 (59.961) Prec@5 78.906 (81.422) Epoch: [51][1560/10010] Time 0.327 (0.327) Data 0.001 (0.002) Loss 1.5053 (1.7581) Prec@1 62.500 (59.963) Prec@5 86.719 (81.425) Epoch: [51][1570/10010] Time 0.336 (0.327) Data 0.000 (0.002) Loss 1.7383 (1.7576) Prec@1 60.938 (59.970) Prec@5 79.688 (81.429) Epoch: [51][1580/10010] Time 0.341 (0.327) Data 0.000 (0.002) Loss 1.5799 (1.7580) Prec@1 62.500 (59.961) Prec@5 87.500 (81.431) Epoch: [51][1590/10010] Time 0.324 (0.327) Data 0.001 (0.002) Loss 1.6783 (1.7577) Prec@1 61.719 (59.966) Prec@5 82.031 (81.438) Epoch: [51][1600/10010] Time 0.330 (0.327) Data 0.001 (0.002) Loss 1.7254 (1.7579) Prec@1 64.844 (59.968) Prec@5 82.031 (81.440) Epoch: [51][1610/10010] Time 0.338 (0.327) Data 0.001 (0.002) Loss 1.7176 (1.7581) Prec@1 61.719 (59.961) Prec@5 78.906 (81.438) Epoch: [51][1620/10010] Time 0.323 (0.327) Data 0.001 (0.002) Loss 2.0168 (1.7580) Prec@1 55.469 (59.959) Prec@5 78.906 (81.442) Epoch: [51][1630/10010] Time 0.327 (0.327) Data 0.001 (0.002) Loss 1.7773 (1.7582) Prec@1 64.062 (59.952) Prec@5 83.594 (81.444) Epoch: [51][1640/10010] Time 0.335 (0.327) Data 0.001 (0.002) Loss 1.8043 (1.7583) Prec@1 60.938 (59.950) Prec@5 79.688 (81.446) Epoch: [51][1650/10010] Time 0.327 (0.327) Data 0.001 (0.002) Loss 1.7303 (1.7584) Prec@1 58.594 (59.947) Prec@5 84.375 (81.446) Epoch: [51][1660/10010] Time 0.340 (0.327) Data 0.001 (0.002) Loss 1.6084 (1.7585) Prec@1 58.594 (59.937) Prec@5 83.594 (81.444) Epoch: [51][1670/10010] Time 0.328 (0.327) Data 0.001 (0.002) Loss 1.6885 (1.7583) Prec@1 60.938 (59.947) Prec@5 82.031 (81.452) Epoch: [51][1680/10010] Time 0.322 (0.327) Data 0.000 (0.002) Loss 1.7507 (1.7586) Prec@1 54.688 (59.937) Prec@5 80.469 (81.444) Epoch: [51][1690/10010] Time 0.323 (0.327) Data 0.000 (0.002) Loss 1.5981 (1.7585) Prec@1 64.062 (59.936) Prec@5 84.375 (81.446) Epoch: [51][1700/10010] Time 0.339 (0.327) Data 0.000 (0.002) Loss 2.1083 (1.7591) Prec@1 60.156 (59.925) Prec@5 78.125 (81.438) Epoch: [51][1710/10010] Time 0.337 (0.327) Data 0.001 (0.002) Loss 1.7800 (1.7594) Prec@1 57.812 (59.924) Prec@5 79.688 (81.429) Epoch: [51][1720/10010] Time 0.336 (0.327) Data 0.000 (0.002) Loss 1.6486 (1.7593) Prec@1 64.062 (59.924) Prec@5 82.812 (81.434) Epoch: [51][1730/10010] Time 0.327 (0.327) Data 0.000 (0.002) Loss 1.5038 (1.7594) Prec@1 63.281 (59.923) Prec@5 87.500 (81.435) Epoch: [51][1740/10010] Time 0.335 (0.327) Data 0.000 (0.002) Loss 1.5637 (1.7592) Prec@1 64.062 (59.915) Prec@5 85.156 (81.436) Epoch: [51][1750/10010] Time 0.332 (0.327) Data 0.001 (0.002) Loss 1.7253 (1.7587) Prec@1 62.500 (59.924) Prec@5 80.469 (81.443) Epoch: [51][1760/10010] Time 0.340 (0.327) Data 0.001 (0.002) Loss 1.6917 (1.7589) Prec@1 66.406 (59.929) Prec@5 81.250 (81.440) Epoch: [51][1770/10010] Time 0.340 (0.327) Data 0.001 (0.002) Loss 1.7292 (1.7593) Prec@1 64.062 (59.920) Prec@5 82.031 (81.430) Epoch: [51][1780/10010] Time 0.322 (0.327) Data 0.000 (0.002) Loss 1.8002 (1.7596) Prec@1 60.156 (59.913) Prec@5 75.000 (81.425) Epoch: [51][1790/10010] Time 0.311 (0.327) Data 0.001 (0.002) Loss 1.5340 (1.7591) Prec@1 64.844 (59.920) Prec@5 85.156 (81.429) Epoch: [51][1800/10010] Time 0.338 (0.327) Data 0.000 (0.002) Loss 2.0503 (1.7588) Prec@1 51.562 (59.926) Prec@5 73.438 (81.430) Epoch: [51][1810/10010] Time 0.330 (0.327) Data 0.001 (0.002) Loss 1.6412 (1.7589) Prec@1 58.594 (59.929) Prec@5 83.594 (81.431) Epoch: [51][1820/10010] Time 0.321 (0.327) Data 0.001 (0.002) Loss 1.8128 (1.7588) Prec@1 54.688 (59.928) Prec@5 79.688 (81.435) Epoch: [51][1830/10010] Time 0.318 (0.327) Data 0.001 (0.002) Loss 1.8514 (1.7590) Prec@1 57.031 (59.919) Prec@5 78.125 (81.424) Epoch: [51][1840/10010] Time 0.320 (0.327) Data 0.000 (0.002) Loss 1.7191 (1.7582) Prec@1 63.281 (59.941) Prec@5 77.344 (81.434) Epoch: [51][1850/10010] Time 0.325 (0.327) Data 0.000 (0.002) Loss 1.7064 (1.7578) Prec@1 61.719 (59.952) Prec@5 81.250 (81.438) Epoch: [51][1860/10010] Time 0.338 (0.327) Data 0.001 (0.002) Loss 1.7816 (1.7576) Prec@1 61.719 (59.958) Prec@5 83.594 (81.436) Epoch: [51][1870/10010] Time 0.316 (0.327) Data 0.001 (0.002) Loss 1.6799 (1.7573) Prec@1 57.812 (59.955) Prec@5 85.156 (81.439) Epoch: [51][1880/10010] Time 0.322 (0.327) Data 0.001 (0.002) Loss 1.4513 (1.7574) Prec@1 64.844 (59.937) Prec@5 82.812 (81.432) Epoch: [51][1890/10010] Time 0.320 (0.327) Data 0.001 (0.002) Loss 1.6129 (1.7574) Prec@1 62.500 (59.934) Prec@5 82.812 (81.432) Epoch: [51][1900/10010] Time 0.321 (0.327) Data 0.001 (0.002) Loss 2.0617 (1.7578) Prec@1 53.125 (59.917) Prec@5 78.125 (81.424) Epoch: [51][1910/10010] Time 0.324 (0.327) Data 0.001 (0.002) Loss 1.8435 (1.7579) Prec@1 56.250 (59.918) Prec@5 78.906 (81.426) Epoch: [51][1920/10010] Time 0.330 (0.327) Data 0.001 (0.002) Loss 1.6648 (1.7582) Prec@1 64.844 (59.918) Prec@5 82.812 (81.425) Epoch: [51][1930/10010] Time 0.328 (0.327) Data 0.000 (0.002) Loss 1.6324 (1.7580) Prec@1 62.500 (59.916) Prec@5 82.812 (81.428) Epoch: [51][1940/10010] Time 0.318 (0.327) Data 0.001 (0.002) Loss 1.7273 (1.7579) Prec@1 60.938 (59.920) Prec@5 78.906 (81.430) Epoch: [51][1950/10010] Time 0.316 (0.327) Data 0.001 (0.002) Loss 1.7635 (1.7578) Prec@1 60.156 (59.922) Prec@5 78.906 (81.431) Epoch: [51][1960/10010] Time 0.314 (0.327) Data 0.001 (0.002) Loss 1.6833 (1.7580) Prec@1 57.812 (59.919) Prec@5 82.031 (81.429) Epoch: [51][1970/10010] Time 0.319 (0.327) Data 0.000 (0.002) Loss 1.5115 (1.7584) Prec@1 60.938 (59.909) Prec@5 84.375 (81.420) Epoch: [51][1980/10010] Time 0.326 (0.327) Data 0.000 (0.002) Loss 1.5005 (1.7583) Prec@1 64.844 (59.909) Prec@5 87.500 (81.427) Epoch: [51][1990/10010] Time 0.314 (0.327) Data 0.001 (0.002) Loss 1.5130 (1.7581) Prec@1 61.719 (59.912) Prec@5 85.938 (81.424) Epoch: [51][2000/10010] Time 0.314 (0.327) Data 0.001 (0.002) Loss 1.6128 (1.7583) Prec@1 61.719 (59.905) Prec@5 82.812 (81.428) Epoch: [51][2010/10010] Time 0.323 (0.327) Data 0.000 (0.002) Loss 1.9385 (1.7583) Prec@1 55.469 (59.904) Prec@5 81.250 (81.427) Epoch: [51][2020/10010] Time 0.322 (0.327) Data 0.000 (0.002) Loss 2.1254 (1.7588) Prec@1 54.688 (59.898) Prec@5 76.562 (81.421) Epoch: [51][2030/10010] Time 0.335 (0.327) Data 0.000 (0.002) Loss 1.8802 (1.7589) Prec@1 61.719 (59.896) Prec@5 79.688 (81.419) Epoch: [51][2040/10010] Time 0.318 (0.327) Data 0.001 (0.002) Loss 1.6334 (1.7587) Prec@1 59.375 (59.892) Prec@5 82.031 (81.423) Epoch: [51][2050/10010] Time 0.334 (0.327) Data 0.001 (0.002) Loss 1.5885 (1.7583) Prec@1 64.062 (59.894) Prec@5 85.156 (81.430) Epoch: [51][2060/10010] Time 0.321 (0.327) Data 0.000 (0.002) Loss 1.6666 (1.7584) Prec@1 65.625 (59.891) Prec@5 80.469 (81.432) Epoch: [51][2070/10010] Time 0.318 (0.327) Data 0.001 (0.002) Loss 1.7404 (1.7585) Prec@1 57.031 (59.885) Prec@5 82.031 (81.427) Epoch: [51][2080/10010] Time 0.317 (0.327) Data 0.001 (0.002) Loss 2.0640 (1.7586) Prec@1 58.594 (59.886) Prec@5 73.438 (81.420) Epoch: [51][2090/10010] Time 0.333 (0.327) Data 0.001 (0.002) Loss 1.4692 (1.7585) Prec@1 62.500 (59.884) Prec@5 84.375 (81.423) Epoch: [51][2100/10010] Time 0.324 (0.327) Data 0.000 (0.002) Loss 1.8343 (1.7590) Prec@1 61.719 (59.876) Prec@5 78.906 (81.414) Epoch: [51][2110/10010] Time 0.338 (0.327) Data 0.000 (0.002) Loss 1.8697 (1.7590) Prec@1 62.500 (59.871) Prec@5 78.125 (81.411) Epoch: [51][2120/10010] Time 0.335 (0.327) Data 0.001 (0.002) Loss 1.7425 (1.7594) Prec@1 58.594 (59.865) Prec@5 82.031 (81.402) Epoch: [51][2130/10010] Time 0.315 (0.327) Data 0.000 (0.002) Loss 1.8087 (1.7598) Prec@1 60.156 (59.858) Prec@5 78.906 (81.394) Epoch: [51][2140/10010] Time 0.319 (0.327) Data 0.000 (0.002) Loss 1.5115 (1.7606) Prec@1 64.062 (59.852) Prec@5 83.594 (81.385) Epoch: [51][2150/10010] Time 0.339 (0.327) Data 0.000 (0.002) Loss 1.9450 (1.7610) Prec@1 49.219 (59.836) Prec@5 81.250 (81.375) Epoch: [51][2160/10010] Time 0.318 (0.327) Data 0.001 (0.002) Loss 1.7396 (1.7615) Prec@1 60.938 (59.829) Prec@5 83.594 (81.378) Epoch: [51][2170/10010] Time 0.309 (0.327) Data 0.000 (0.002) Loss 1.6062 (1.7615) Prec@1 59.375 (59.824) Prec@5 86.719 (81.380) Epoch: [51][2180/10010] Time 0.326 (0.327) Data 0.000 (0.002) Loss 2.0893 (1.7612) Prec@1 54.688 (59.829) Prec@5 76.562 (81.384) Epoch: [51][2190/10010] Time 0.319 (0.327) Data 0.000 (0.002) Loss 1.7925 (1.7609) Prec@1 60.156 (59.831) Prec@5 76.562 (81.389) Epoch: [51][2200/10010] Time 0.337 (0.327) Data 0.001 (0.002) Loss 1.7479 (1.7613) Prec@1 60.938 (59.826) Prec@5 78.125 (81.381) Epoch: [51][2210/10010] Time 0.320 (0.327) Data 0.001 (0.002) Loss 1.8011 (1.7614) Prec@1 60.156 (59.822) Prec@5 80.469 (81.379) Epoch: [51][2220/10010] Time 0.332 (0.327) Data 0.000 (0.002) Loss 1.6427 (1.7614) Prec@1 59.375 (59.816) Prec@5 85.156 (81.386) Epoch: [51][2230/10010] Time 0.320 (0.327) Data 0.001 (0.002) Loss 1.7430 (1.7612) Prec@1 58.594 (59.819) Prec@5 79.688 (81.388) Epoch: [51][2240/10010] Time 0.319 (0.327) Data 0.001 (0.002) Loss 1.7827 (1.7610) Prec@1 60.156 (59.823) Prec@5 84.375 (81.389) Epoch: [51][2250/10010] Time 0.323 (0.327) Data 0.001 (0.002) Loss 1.7274 (1.7611) Prec@1 57.812 (59.820) Prec@5 82.812 (81.394) Epoch: [51][2260/10010] Time 0.326 (0.327) Data 0.001 (0.002) Loss 1.6705 (1.7609) Prec@1 59.375 (59.824) Prec@5 83.594 (81.398) Epoch: [51][2270/10010] Time 0.322 (0.327) Data 0.001 (0.002) Loss 1.6336 (1.7609) Prec@1 61.719 (59.825) Prec@5 80.469 (81.401) Epoch: [51][2280/10010] Time 0.337 (0.327) Data 0.001 (0.002) Loss 1.6880 (1.7608) Prec@1 58.594 (59.823) Prec@5 80.469 (81.402) Epoch: [51][2290/10010] Time 0.324 (0.327) Data 0.000 (0.002) Loss 1.4360 (1.7606) Prec@1 64.062 (59.823) Prec@5 86.719 (81.407) Epoch: [51][2300/10010] Time 0.331 (0.327) Data 0.001 (0.002) Loss 1.6810 (1.7605) Prec@1 58.594 (59.825) Prec@5 82.031 (81.408) Epoch: [51][2310/10010] Time 0.320 (0.327) Data 0.001 (0.002) Loss 1.3760 (1.7602) Prec@1 67.188 (59.834) Prec@5 87.500 (81.414) Epoch: [51][2320/10010] Time 0.331 (0.327) Data 0.000 (0.002) Loss 1.7683 (1.7599) Prec@1 58.594 (59.837) Prec@5 78.906 (81.417) Epoch: [51][2330/10010] Time 0.335 (0.327) Data 0.001 (0.002) Loss 1.6033 (1.7601) Prec@1 60.156 (59.830) Prec@5 87.500 (81.414) Epoch: [51][2340/10010] Time 0.326 (0.327) Data 0.000 (0.002) Loss 1.6473 (1.7605) Prec@1 60.938 (59.825) Prec@5 83.594 (81.411) Epoch: [51][2350/10010] Time 0.337 (0.327) Data 0.001 (0.002) Loss 1.7043 (1.7606) Prec@1 60.938 (59.819) Prec@5 84.375 (81.407) Epoch: [51][2360/10010] Time 0.326 (0.327) Data 0.001 (0.002) Loss 1.7406 (1.7605) Prec@1 60.156 (59.821) Prec@5 79.688 (81.406) Epoch: [51][2370/10010] Time 0.315 (0.327) Data 0.001 (0.002) Loss 1.4994 (1.7602) Prec@1 71.094 (59.825) Prec@5 89.062 (81.417) Epoch: [51][2380/10010] Time 0.339 (0.327) Data 0.000 (0.002) Loss 1.7329 (1.7601) Prec@1 63.281 (59.828) Prec@5 82.031 (81.416) Epoch: [51][2390/10010] Time 0.330 (0.327) Data 0.001 (0.002) Loss 1.6857 (1.7601) Prec@1 60.938 (59.824) Prec@5 85.156 (81.418) Epoch: [51][2400/10010] Time 0.315 (0.327) Data 0.000 (0.002) Loss 1.6321 (1.7598) Prec@1 60.156 (59.832) Prec@5 85.156 (81.418) Epoch: [51][2410/10010] Time 0.321 (0.327) Data 0.001 (0.002) Loss 1.8212 (1.7598) Prec@1 56.250 (59.832) Prec@5 80.469 (81.422) Epoch: [51][2420/10010] Time 0.337 (0.327) Data 0.000 (0.002) Loss 1.9464 (1.7599) Prec@1 55.469 (59.829) Prec@5 78.125 (81.422) Epoch: [51][2430/10010] Time 0.337 (0.327) Data 0.001 (0.002) Loss 1.7908 (1.7603) Prec@1 59.375 (59.824) Prec@5 80.469 (81.418) Epoch: [51][2440/10010] Time 0.326 (0.327) Data 0.001 (0.002) Loss 1.6626 (1.7600) Prec@1 64.062 (59.825) Prec@5 81.250 (81.426) Epoch: [51][2450/10010] Time 0.326 (0.327) Data 0.001 (0.002) Loss 1.6127 (1.7600) Prec@1 60.156 (59.821) Prec@5 85.156 (81.428) Epoch: [51][2460/10010] Time 0.336 (0.327) Data 0.001 (0.002) Loss 1.7022 (1.7600) Prec@1 57.812 (59.821) Prec@5 76.562 (81.426) Epoch: [51][2470/10010] Time 0.336 (0.327) Data 0.000 (0.002) Loss 1.6126 (1.7604) Prec@1 62.500 (59.818) Prec@5 82.812 (81.419) Epoch: [51][2480/10010] Time 0.321 (0.327) Data 0.001 (0.002) Loss 1.8206 (1.7606) Prec@1 64.062 (59.814) Prec@5 82.031 (81.416) Epoch: [51][2490/10010] Time 0.330 (0.327) Data 0.000 (0.002) Loss 1.3938 (1.7605) Prec@1 68.750 (59.825) Prec@5 89.062 (81.417) Epoch: [51][2500/10010] Time 0.317 (0.327) Data 0.000 (0.002) Loss 1.8499 (1.7608) Prec@1 52.344 (59.818) Prec@5 77.344 (81.412) Epoch: [51][2510/10010] Time 0.342 (0.327) Data 0.001 (0.002) Loss 1.6671 (1.7609) Prec@1 62.500 (59.813) Prec@5 82.031 (81.410) Epoch: [51][2520/10010] Time 0.318 (0.327) Data 0.001 (0.002) Loss 1.5834 (1.7606) Prec@1 62.500 (59.826) Prec@5 84.375 (81.418) Epoch: [51][2530/10010] Time 0.323 (0.327) Data 0.001 (0.002) Loss 1.7813 (1.7605) Prec@1 64.062 (59.831) Prec@5 81.250 (81.415) Epoch: [51][2540/10010] Time 0.342 (0.327) Data 0.000 (0.002) Loss 1.9440 (1.7602) Prec@1 53.906 (59.835) Prec@5 78.125 (81.419) Epoch: [51][2550/10010] Time 0.339 (0.327) Data 0.001 (0.002) Loss 1.4819 (1.7600) Prec@1 63.281 (59.844) Prec@5 81.250 (81.423) Epoch: [51][2560/10010] Time 0.319 (0.327) Data 0.001 (0.002) Loss 2.0037 (1.7599) Prec@1 54.688 (59.845) Prec@5 77.344 (81.424) Epoch: [51][2570/10010] Time 0.326 (0.327) Data 0.000 (0.001) Loss 1.9175 (1.7600) Prec@1 59.375 (59.842) Prec@5 81.250 (81.427) Epoch: [51][2580/10010] Time 0.320 (0.327) Data 0.001 (0.001) Loss 2.0417 (1.7601) Prec@1 47.656 (59.837) Prec@5 75.781 (81.425) Epoch: [51][2590/10010] Time 0.340 (0.327) Data 0.001 (0.001) Loss 1.7262 (1.7600) Prec@1 61.719 (59.835) Prec@5 82.031 (81.429) Epoch: [51][2600/10010] Time 0.324 (0.327) Data 0.001 (0.001) Loss 1.5249 (1.7603) Prec@1 62.500 (59.833) Prec@5 86.719 (81.428) Epoch: [51][2610/10010] Time 0.341 (0.327) Data 0.001 (0.001) Loss 1.5948 (1.7602) Prec@1 63.281 (59.827) Prec@5 83.594 (81.430) Epoch: [51][2620/10010] Time 0.321 (0.327) Data 0.001 (0.001) Loss 1.8630 (1.7602) Prec@1 57.031 (59.828) Prec@5 81.250 (81.434) Epoch: [51][2630/10010] Time 0.333 (0.327) Data 0.000 (0.001) Loss 1.6637 (1.7603) Prec@1 60.938 (59.823) Prec@5 82.031 (81.430) Epoch: [51][2640/10010] Time 0.317 (0.327) Data 0.001 (0.001) Loss 1.8465 (1.7604) Prec@1 57.812 (59.819) Prec@5 78.906 (81.425) Epoch: [51][2650/10010] Time 0.334 (0.327) Data 0.001 (0.001) Loss 1.3941 (1.7603) Prec@1 66.406 (59.821) Prec@5 85.938 (81.423) Epoch: [51][2660/10010] Time 0.329 (0.327) Data 0.001 (0.001) Loss 1.6715 (1.7603) Prec@1 64.062 (59.826) Prec@5 80.469 (81.422) Epoch: [51][2670/10010] Time 0.318 (0.327) Data 0.001 (0.001) Loss 2.0567 (1.7603) Prec@1 55.469 (59.827) Prec@5 75.000 (81.421) Epoch: [51][2680/10010] Time 0.333 (0.327) Data 0.001 (0.001) Loss 1.8939 (1.7605) Prec@1 60.938 (59.826) Prec@5 75.781 (81.420) Epoch: [51][2690/10010] Time 0.316 (0.327) Data 0.001 (0.001) Loss 1.8206 (1.7610) Prec@1 62.500 (59.818) Prec@5 76.562 (81.406) Epoch: [51][2700/10010] Time 0.329 (0.327) Data 0.000 (0.001) Loss 1.9330 (1.7612) Prec@1 55.469 (59.811) Prec@5 79.688 (81.402) Epoch: [51][2710/10010] Time 0.321 (0.327) Data 0.000 (0.001) Loss 1.8910 (1.7616) Prec@1 52.344 (59.803) Prec@5 81.250 (81.398) Epoch: [51][2720/10010] Time 0.328 (0.327) Data 0.001 (0.001) Loss 1.8509 (1.7618) Prec@1 63.281 (59.800) Prec@5 77.344 (81.396) Epoch: [51][2730/10010] Time 0.333 (0.327) Data 0.000 (0.001) Loss 1.7811 (1.7617) Prec@1 58.594 (59.796) Prec@5 85.156 (81.399) Epoch: [51][2740/10010] Time 0.319 (0.327) Data 0.001 (0.001) Loss 1.7519 (1.7618) Prec@1 60.156 (59.792) Prec@5 82.812 (81.398) Epoch: [51][2750/10010] Time 0.329 (0.327) Data 0.001 (0.001) Loss 2.0811 (1.7622) Prec@1 49.219 (59.786) Prec@5 73.438 (81.393) Epoch: [51][2760/10010] Time 0.333 (0.327) Data 0.001 (0.001) Loss 1.5314 (1.7622) Prec@1 68.750 (59.788) Prec@5 83.594 (81.390) Epoch: [51][2770/10010] Time 0.329 (0.327) Data 0.000 (0.001) Loss 2.1769 (1.7624) Prec@1 53.125 (59.787) Prec@5 72.656 (81.388) Epoch: [51][2780/10010] Time 0.335 (0.327) Data 0.001 (0.001) Loss 1.6898 (1.7630) Prec@1 60.938 (59.774) Prec@5 79.688 (81.377) Epoch: [51][2790/10010] Time 0.327 (0.327) Data 0.001 (0.001) Loss 1.7812 (1.7631) Prec@1 57.031 (59.769) Prec@5 81.250 (81.375) Epoch: [51][2800/10010] Time 0.322 (0.327) Data 0.001 (0.001) Loss 1.7830 (1.7630) Prec@1 59.375 (59.774) Prec@5 82.812 (81.375) Epoch: [51][2810/10010] Time 0.328 (0.327) Data 0.001 (0.001) Loss 1.8470 (1.7629) Prec@1 57.031 (59.774) Prec@5 81.250 (81.379) Epoch: [51][2820/10010] Time 0.328 (0.327) Data 0.001 (0.001) Loss 1.7972 (1.7633) Prec@1 60.156 (59.770) Prec@5 81.250 (81.370) Epoch: [51][2830/10010] Time 0.332 (0.327) Data 0.001 (0.001) Loss 1.6932 (1.7634) Prec@1 60.156 (59.765) Prec@5 83.594 (81.374) Epoch: [51][2840/10010] Time 0.316 (0.327) Data 0.001 (0.001) Loss 1.7098 (1.7635) Prec@1 62.500 (59.767) Prec@5 82.812 (81.373) Epoch: [51][2850/10010] Time 0.330 (0.327) Data 0.001 (0.001) Loss 1.5992 (1.7636) Prec@1 60.156 (59.758) Prec@5 83.594 (81.369) Epoch: [51][2860/10010] Time 0.319 (0.327) Data 0.001 (0.001) Loss 1.7273 (1.7634) Prec@1 63.281 (59.765) Prec@5 84.375 (81.373) Epoch: [51][2870/10010] Time 0.322 (0.327) Data 0.000 (0.001) Loss 1.7231 (1.7633) Prec@1 61.719 (59.762) Prec@5 79.688 (81.377) Epoch: [51][2880/10010] Time 0.314 (0.327) Data 0.000 (0.001) Loss 1.8321 (1.7631) Prec@1 59.375 (59.761) Prec@5 81.250 (81.378) Epoch: [51][2890/10010] Time 0.336 (0.327) Data 0.001 (0.001) Loss 1.8644 (1.7630) Prec@1 58.594 (59.763) Prec@5 82.812 (81.384) Epoch: [51][2900/10010] Time 0.332 (0.327) Data 0.000 (0.001) Loss 1.7077 (1.7629) Prec@1 57.031 (59.764) Prec@5 79.688 (81.382) Epoch: [51][2910/10010] Time 0.323 (0.327) Data 0.001 (0.001) Loss 1.8477 (1.7628) Prec@1 58.594 (59.770) Prec@5 79.688 (81.382) Epoch: [51][2920/10010] Time 0.327 (0.327) Data 0.000 (0.001) Loss 1.7904 (1.7626) Prec@1 60.938 (59.773) Prec@5 82.812 (81.386) Epoch: [51][2930/10010] Time 0.322 (0.327) Data 0.001 (0.001) Loss 1.8305 (1.7628) Prec@1 60.156 (59.772) Prec@5 82.031 (81.384) Epoch: [51][2940/10010] Time 0.320 (0.327) Data 0.000 (0.001) Loss 1.2522 (1.7628) Prec@1 72.656 (59.772) Prec@5 88.281 (81.385) Epoch: [51][2950/10010] Time 0.321 (0.327) Data 0.000 (0.001) Loss 1.6111 (1.7630) Prec@1 65.625 (59.768) Prec@5 78.125 (81.380) Epoch: [51][2960/10010] Time 0.329 (0.327) Data 0.001 (0.001) Loss 1.7519 (1.7632) Prec@1 59.375 (59.765) Prec@5 78.906 (81.375) Epoch: [51][2970/10010] Time 0.319 (0.327) Data 0.001 (0.001) Loss 1.6318 (1.7631) Prec@1 59.375 (59.764) Prec@5 82.812 (81.377) Epoch: [51][2980/10010] Time 0.312 (0.327) Data 0.001 (0.001) Loss 1.4870 (1.7632) Prec@1 64.844 (59.760) Prec@5 82.812 (81.375) Epoch: [51][2990/10010] Time 0.314 (0.327) Data 0.001 (0.001) Loss 1.7291 (1.7631) Prec@1 64.062 (59.767) Prec@5 82.812 (81.376) Epoch: [51][3000/10010] Time 0.330 (0.327) Data 0.001 (0.001) Loss 1.6998 (1.7633) Prec@1 60.938 (59.767) Prec@5 78.906 (81.375) Epoch: [51][3010/10010] Time 0.316 (0.327) Data 0.001 (0.001) Loss 2.0083 (1.7635) Prec@1 54.688 (59.765) Prec@5 78.906 (81.374) Epoch: [51][3020/10010] Time 0.316 (0.327) Data 0.000 (0.001) Loss 1.8019 (1.7635) Prec@1 54.688 (59.764) Prec@5 82.031 (81.374) Epoch: [51][3030/10010] Time 0.323 (0.327) Data 0.000 (0.001) Loss 1.8795 (1.7635) Prec@1 60.156 (59.761) Prec@5 75.000 (81.372) Epoch: [51][3040/10010] Time 0.334 (0.327) Data 0.001 (0.001) Loss 1.5432 (1.7635) Prec@1 64.062 (59.756) Prec@5 80.469 (81.371) Epoch: [51][3050/10010] Time 0.335 (0.327) Data 0.001 (0.001) Loss 1.7805 (1.7636) Prec@1 59.375 (59.757) Prec@5 78.906 (81.373) Epoch: [51][3060/10010] Time 0.323 (0.327) Data 0.000 (0.001) Loss 1.8819 (1.7636) Prec@1 60.938 (59.759) Prec@5 79.688 (81.371) Epoch: [51][3070/10010] Time 0.339 (0.327) Data 0.000 (0.001) Loss 1.8622 (1.7635) Prec@1 57.812 (59.764) Prec@5 77.344 (81.368) Epoch: [51][3080/10010] Time 0.314 (0.327) Data 0.001 (0.001) Loss 1.5279 (1.7634) Prec@1 66.406 (59.773) Prec@5 82.031 (81.367) Epoch: [51][3090/10010] Time 0.320 (0.327) Data 0.001 (0.001) Loss 1.7043 (1.7639) Prec@1 60.938 (59.762) Prec@5 81.250 (81.361) Epoch: [51][3100/10010] Time 0.335 (0.327) Data 0.000 (0.001) Loss 1.4943 (1.7637) Prec@1 65.625 (59.768) Prec@5 88.281 (81.365) Epoch: [51][3110/10010] Time 0.334 (0.327) Data 0.001 (0.001) Loss 1.5557 (1.7630) Prec@1 59.375 (59.774) Prec@5 85.156 (81.379) Epoch: [51][3120/10010] Time 0.319 (0.327) Data 0.001 (0.001) Loss 1.8423 (1.7633) Prec@1 58.594 (59.767) Prec@5 81.250 (81.379) Epoch: [51][3130/10010] Time 0.326 (0.327) Data 0.001 (0.001) Loss 2.1723 (1.7633) Prec@1 51.562 (59.766) Prec@5 74.219 (81.380) Epoch: [51][3140/10010] Time 0.324 (0.327) Data 0.000 (0.001) Loss 1.6841 (1.7631) Prec@1 61.719 (59.765) Prec@5 83.594 (81.383) Epoch: [51][3150/10010] Time 0.333 (0.327) Data 0.001 (0.001) Loss 1.7201 (1.7631) Prec@1 63.281 (59.766) Prec@5 85.156 (81.387) Epoch: [51][3160/10010] Time 0.320 (0.327) Data 0.001 (0.001) Loss 1.7300 (1.7631) Prec@1 57.812 (59.766) Prec@5 80.469 (81.388) Epoch: [51][3170/10010] Time 0.313 (0.327) Data 0.001 (0.001) Loss 1.5577 (1.7632) Prec@1 63.281 (59.764) Prec@5 85.156 (81.386) Epoch: [51][3180/10010] Time 0.325 (0.327) Data 0.001 (0.001) Loss 2.1268 (1.7632) Prec@1 51.562 (59.764) Prec@5 75.000 (81.384) Epoch: [51][3190/10010] Time 0.323 (0.327) Data 0.001 (0.001) Loss 1.9348 (1.7631) Prec@1 57.031 (59.765) Prec@5 79.688 (81.387) Epoch: [51][3200/10010] Time 0.320 (0.327) Data 0.000 (0.001) Loss 1.7454 (1.7630) Prec@1 57.812 (59.764) Prec@5 83.594 (81.387) Epoch: [51][3210/10010] Time 0.326 (0.327) Data 0.001 (0.001) Loss 1.7497 (1.7631) Prec@1 58.594 (59.765) Prec@5 79.688 (81.385) Epoch: [51][3220/10010] Time 0.320 (0.327) Data 0.000 (0.001) Loss 1.6314 (1.7630) Prec@1 65.625 (59.759) Prec@5 83.594 (81.386) Epoch: [51][3230/10010] Time 0.320 (0.327) Data 0.000 (0.001) Loss 1.8019 (1.7628) Prec@1 58.594 (59.766) Prec@5 78.125 (81.388) Epoch: [51][3240/10010] Time 0.336 (0.327) Data 0.001 (0.001) Loss 2.2284 (1.7627) Prec@1 52.344 (59.771) Prec@5 75.781 (81.392) Epoch: [51][3250/10010] Time 0.314 (0.327) Data 0.001 (0.001) Loss 1.8602 (1.7628) Prec@1 59.375 (59.773) Prec@5 74.219 (81.387) Epoch: [51][3260/10010] Time 0.312 (0.327) Data 0.001 (0.001) Loss 1.6701 (1.7629) Prec@1 60.938 (59.774) Prec@5 85.156 (81.387) Epoch: [51][3270/10010] Time 0.339 (0.327) Data 0.000 (0.001) Loss 1.9030 (1.7631) Prec@1 60.156 (59.774) Prec@5 78.125 (81.384) Epoch: [51][3280/10010] Time 0.342 (0.327) Data 0.001 (0.001) Loss 1.4349 (1.7629) Prec@1 63.281 (59.776) Prec@5 85.938 (81.384) Epoch: [51][3290/10010] Time 0.340 (0.327) Data 0.001 (0.001) Loss 2.3708 (1.7633) Prec@1 46.875 (59.768) Prec@5 75.000 (81.377) Epoch: [51][3300/10010] Time 0.317 (0.327) Data 0.001 (0.001) Loss 1.6725 (1.7633) Prec@1 60.938 (59.769) Prec@5 84.375 (81.379) Epoch: [51][3310/10010] Time 0.325 (0.327) Data 0.000 (0.001) Loss 1.8400 (1.7634) Prec@1 58.594 (59.769) Prec@5 84.375 (81.383) Epoch: [51][3320/10010] Time 0.315 (0.327) Data 0.000 (0.001) Loss 1.7401 (1.7637) Prec@1 59.375 (59.766) Prec@5 80.469 (81.373) Epoch: [51][3330/10010] Time 0.321 (0.327) Data 0.000 (0.001) Loss 1.9419 (1.7637) Prec@1 56.250 (59.766) Prec@5 78.906 (81.374) Epoch: [51][3340/10010] Time 0.338 (0.327) Data 0.000 (0.001) Loss 1.9962 (1.7640) Prec@1 57.812 (59.758) Prec@5 75.000 (81.371) Epoch: [51][3350/10010] Time 0.330 (0.327) Data 0.001 (0.001) Loss 1.7207 (1.7639) Prec@1 57.031 (59.758) Prec@5 80.469 (81.371) Epoch: [51][3360/10010] Time 0.332 (0.327) Data 0.000 (0.001) Loss 1.6812 (1.7637) Prec@1 59.375 (59.765) Prec@5 82.031 (81.373) Epoch: [51][3370/10010] Time 0.315 (0.327) Data 0.001 (0.001) Loss 1.9287 (1.7637) Prec@1 55.469 (59.764) Prec@5 78.906 (81.373) Epoch: [51][3380/10010] Time 0.329 (0.327) Data 0.001 (0.001) Loss 1.6688 (1.7638) Prec@1 65.625 (59.761) Prec@5 84.375 (81.375) Epoch: [51][3390/10010] Time 0.331 (0.327) Data 0.001 (0.001) Loss 1.9580 (1.7639) Prec@1 55.469 (59.757) Prec@5 76.562 (81.372) Epoch: [51][3400/10010] Time 0.331 (0.327) Data 0.000 (0.001) Loss 1.6233 (1.7640) Prec@1 63.281 (59.758) Prec@5 85.938 (81.373) Epoch: [51][3410/10010] Time 0.338 (0.327) Data 0.001 (0.001) Loss 1.7615 (1.7639) Prec@1 58.594 (59.756) Prec@5 80.469 (81.374) Epoch: [51][3420/10010] Time 0.333 (0.327) Data 0.001 (0.001) Loss 1.8599 (1.7637) Prec@1 56.250 (59.755) Prec@5 82.031 (81.377) Epoch: [51][3430/10010] Time 0.316 (0.326) Data 0.001 (0.001) Loss 1.8198 (1.7637) Prec@1 58.594 (59.753) Prec@5 81.250 (81.377) Epoch: [51][3440/10010] Time 0.325 (0.326) Data 0.000 (0.001) Loss 1.4699 (1.7635) Prec@1 65.625 (59.759) Prec@5 84.375 (81.381) Epoch: [51][3450/10010] Time 0.319 (0.327) Data 0.001 (0.001) Loss 1.5551 (1.7636) Prec@1 64.844 (59.758) Prec@5 85.938 (81.383) Epoch: [51][3460/10010] Time 0.322 (0.326) Data 0.001 (0.001) Loss 1.8131 (1.7631) Prec@1 57.812 (59.768) Prec@5 83.594 (81.391) Epoch: [51][3470/10010] Time 0.340 (0.327) Data 0.001 (0.001) Loss 1.9086 (1.7629) Prec@1 55.469 (59.766) Prec@5 77.344 (81.391) Epoch: [51][3480/10010] Time 0.326 (0.327) Data 0.000 (0.001) Loss 1.9581 (1.7630) Prec@1 54.688 (59.760) Prec@5 76.562 (81.394) Epoch: [51][3490/10010] Time 0.322 (0.326) Data 0.001 (0.001) Loss 2.1734 (1.7631) Prec@1 53.125 (59.760) Prec@5 72.656 (81.388) Epoch: [51][3500/10010] Time 0.318 (0.326) Data 0.001 (0.001) Loss 1.9857 (1.7631) Prec@1 57.031 (59.761) Prec@5 75.000 (81.388) Epoch: [51][3510/10010] Time 0.333 (0.326) Data 0.001 (0.001) Loss 1.8461 (1.7633) Prec@1 59.375 (59.760) Prec@5 80.469 (81.382) Epoch: [51][3520/10010] Time 0.325 (0.326) Data 0.001 (0.001) Loss 1.6904 (1.7635) Prec@1 55.469 (59.754) Prec@5 83.594 (81.380) Epoch: [51][3530/10010] Time 0.336 (0.326) Data 0.001 (0.001) Loss 1.4841 (1.7636) Prec@1 64.062 (59.752) Prec@5 85.156 (81.379) Epoch: [51][3540/10010] Time 0.320 (0.326) Data 0.001 (0.001) Loss 1.3961 (1.7635) Prec@1 66.406 (59.756) Prec@5 89.844 (81.380) Epoch: [51][3550/10010] Time 0.331 (0.326) Data 0.000 (0.001) Loss 2.1623 (1.7638) Prec@1 57.031 (59.755) Prec@5 74.219 (81.372) Epoch: [51][3560/10010] Time 0.337 (0.326) Data 0.000 (0.001) Loss 1.6080 (1.7637) Prec@1 58.594 (59.758) Prec@5 83.594 (81.372) Epoch: [51][3570/10010] Time 0.338 (0.326) Data 0.001 (0.001) Loss 1.5236 (1.7636) Prec@1 65.625 (59.765) Prec@5 84.375 (81.375) Epoch: [51][3580/10010] Time 0.318 (0.326) Data 0.001 (0.001) Loss 1.8342 (1.7636) Prec@1 58.594 (59.767) Prec@5 80.469 (81.378) Epoch: [51][3590/10010] Time 0.338 (0.326) Data 0.000 (0.001) Loss 1.7390 (1.7637) Prec@1 58.594 (59.766) Prec@5 78.906 (81.373) Epoch: [51][3600/10010] Time 0.326 (0.326) Data 0.001 (0.001) Loss 1.9448 (1.7637) Prec@1 53.906 (59.766) Prec@5 81.250 (81.375) Epoch: [51][3610/10010] Time 0.333 (0.327) Data 0.000 (0.001) Loss 1.4933 (1.7636) Prec@1 64.062 (59.767) Prec@5 85.156 (81.375) Epoch: [51][3620/10010] Time 0.320 (0.327) Data 0.001 (0.001) Loss 1.9889 (1.7638) Prec@1 60.156 (59.769) Prec@5 75.000 (81.370) Epoch: [51][3630/10010] Time 0.333 (0.327) Data 0.000 (0.001) Loss 1.4903 (1.7635) Prec@1 65.625 (59.773) Prec@5 84.375 (81.375) Epoch: [51][3640/10010] Time 0.334 (0.327) Data 0.001 (0.001) Loss 1.5626 (1.7635) Prec@1 64.062 (59.773) Prec@5 85.938 (81.375) Epoch: [51][3650/10010] Time 0.313 (0.327) Data 0.001 (0.001) Loss 1.8152 (1.7635) Prec@1 60.156 (59.774) Prec@5 78.125 (81.375) Epoch: [51][3660/10010] Time 0.323 (0.327) Data 0.001 (0.001) Loss 1.9962 (1.7635) Prec@1 54.688 (59.767) Prec@5 81.250 (81.378) Epoch: [51][3670/10010] Time 0.334 (0.327) Data 0.001 (0.001) Loss 1.4642 (1.7635) Prec@1 65.625 (59.771) Prec@5 86.719 (81.378) Epoch: [51][3680/10010] Time 0.331 (0.327) Data 0.000 (0.001) Loss 1.6756 (1.7635) Prec@1 57.031 (59.768) Prec@5 80.469 (81.379) Epoch: [51][3690/10010] Time 0.317 (0.327) Data 0.001 (0.001) Loss 1.5431 (1.7635) Prec@1 64.844 (59.765) Prec@5 82.031 (81.374) Epoch: [51][3700/10010] Time 0.339 (0.327) Data 0.001 (0.001) Loss 1.8366 (1.7635) Prec@1 57.812 (59.766) Prec@5 78.906 (81.373) Epoch: [51][3710/10010] Time 0.315 (0.327) Data 0.000 (0.001) Loss 1.9909 (1.7637) Prec@1 56.250 (59.764) Prec@5 78.906 (81.372) Epoch: [51][3720/10010] Time 0.337 (0.327) Data 0.001 (0.001) Loss 1.7084 (1.7636) Prec@1 60.156 (59.765) Prec@5 84.375 (81.373) Epoch: [51][3730/10010] Time 0.336 (0.327) Data 0.000 (0.001) Loss 1.7243 (1.7638) Prec@1 60.938 (59.763) Prec@5 83.594 (81.368) Epoch: [51][3740/10010] Time 0.327 (0.327) Data 0.001 (0.001) Loss 1.9582 (1.7639) Prec@1 56.250 (59.760) Prec@5 78.906 (81.367) Epoch: [51][3750/10010] Time 0.320 (0.327) Data 0.000 (0.001) Loss 1.5614 (1.7641) Prec@1 61.719 (59.756) Prec@5 84.375 (81.364) Epoch: [51][3760/10010] Time 0.320 (0.327) Data 0.001 (0.001) Loss 2.0004 (1.7642) Prec@1 53.125 (59.756) Prec@5 78.125 (81.359) Epoch: [51][3770/10010] Time 0.318 (0.327) Data 0.000 (0.001) Loss 1.5149 (1.7641) Prec@1 65.625 (59.755) Prec@5 88.281 (81.361) Epoch: [51][3780/10010] Time 0.323 (0.327) Data 0.000 (0.001) Loss 1.5441 (1.7641) Prec@1 63.281 (59.755) Prec@5 85.156 (81.361) Epoch: [51][3790/10010] Time 0.321 (0.327) Data 0.001 (0.001) Loss 1.6626 (1.7639) Prec@1 63.281 (59.759) Prec@5 85.156 (81.364) Epoch: [51][3800/10010] Time 0.339 (0.327) Data 0.001 (0.001) Loss 1.5617 (1.7640) Prec@1 62.500 (59.756) Prec@5 85.938 (81.366) Epoch: [51][3810/10010] Time 0.323 (0.326) Data 0.000 (0.001) Loss 2.0688 (1.7642) Prec@1 57.812 (59.757) Prec@5 75.781 (81.364) Epoch: [51][3820/10010] Time 0.333 (0.326) Data 0.001 (0.001) Loss 1.8142 (1.7643) Prec@1 60.938 (59.754) Prec@5 84.375 (81.360) Epoch: [51][3830/10010] Time 0.335 (0.326) Data 0.000 (0.001) Loss 1.8207 (1.7642) Prec@1 59.375 (59.756) Prec@5 78.906 (81.361) Epoch: [51][3840/10010] Time 0.325 (0.326) Data 0.001 (0.001) Loss 1.7551 (1.7643) Prec@1 63.281 (59.757) Prec@5 81.250 (81.361) Epoch: [51][3850/10010] Time 0.330 (0.327) Data 0.001 (0.001) Loss 1.5129 (1.7644) Prec@1 66.406 (59.754) Prec@5 85.938 (81.363) Epoch: [51][3860/10010] Time 0.316 (0.326) Data 0.000 (0.001) Loss 1.8455 (1.7643) Prec@1 60.156 (59.754) Prec@5 80.469 (81.364) Epoch: [51][3870/10010] Time 0.317 (0.326) Data 0.001 (0.001) Loss 1.8624 (1.7642) Prec@1 51.562 (59.751) Prec@5 81.250 (81.366) Epoch: [51][3880/10010] Time 0.337 (0.326) Data 0.000 (0.001) Loss 1.7444 (1.7643) Prec@1 57.812 (59.751) Prec@5 83.594 (81.368) Epoch: [51][3890/10010] Time 0.334 (0.326) Data 0.000 (0.001) Loss 1.7747 (1.7645) Prec@1 60.156 (59.750) Prec@5 85.156 (81.363) Epoch: [51][3900/10010] Time 0.318 (0.327) Data 0.001 (0.001) Loss 1.7793 (1.7649) Prec@1 58.594 (59.746) Prec@5 78.906 (81.359) Epoch: [51][3910/10010] Time 0.309 (0.327) Data 0.001 (0.001) Loss 1.7316 (1.7647) Prec@1 61.719 (59.752) Prec@5 82.031 (81.362) Epoch: [51][3920/10010] Time 0.325 (0.326) Data 0.001 (0.001) Loss 1.7865 (1.7647) Prec@1 57.031 (59.751) Prec@5 77.344 (81.362) Epoch: [51][3930/10010] Time 0.322 (0.326) Data 0.001 (0.001) Loss 1.6288 (1.7646) Prec@1 57.812 (59.753) Prec@5 83.594 (81.362) Epoch: [51][3940/10010] Time 0.327 (0.326) Data 0.001 (0.001) Loss 1.7384 (1.7643) Prec@1 64.844 (59.757) Prec@5 82.031 (81.368) Epoch: [51][3950/10010] Time 0.329 (0.326) Data 0.001 (0.001) Loss 1.9154 (1.7644) Prec@1 60.938 (59.757) Prec@5 80.469 (81.365) Epoch: [51][3960/10010] Time 0.326 (0.326) Data 0.000 (0.001) Loss 1.8917 (1.7647) Prec@1 57.031 (59.752) Prec@5 78.906 (81.360) Epoch: [51][3970/10010] Time 0.344 (0.326) Data 0.001 (0.001) Loss 1.8432 (1.7646) Prec@1 64.062 (59.755) Prec@5 82.031 (81.360) Epoch: [51][3980/10010] Time 0.326 (0.326) Data 0.001 (0.001) Loss 1.6409 (1.7647) Prec@1 58.594 (59.753) Prec@5 81.250 (81.356) Epoch: [51][3990/10010] Time 0.326 (0.326) Data 0.000 (0.001) Loss 1.3973 (1.7649) Prec@1 68.750 (59.750) Prec@5 87.500 (81.354) Epoch: [51][4000/10010] Time 0.332 (0.326) Data 0.001 (0.001) Loss 1.8011 (1.7648) Prec@1 57.031 (59.752) Prec@5 77.344 (81.351) Epoch: [51][4010/10010] Time 0.316 (0.326) Data 0.001 (0.001) Loss 1.6500 (1.7649) Prec@1 60.938 (59.751) Prec@5 80.469 (81.348) Epoch: [51][4020/10010] Time 0.331 (0.326) Data 0.001 (0.001) Loss 1.8199 (1.7649) Prec@1 61.719 (59.751) Prec@5 82.031 (81.349) Epoch: [51][4030/10010] Time 0.324 (0.326) Data 0.000 (0.001) Loss 1.9444 (1.7651) Prec@1 58.594 (59.748) Prec@5 76.562 (81.348) Epoch: [51][4040/10010] Time 0.340 (0.326) Data 0.001 (0.001) Loss 1.8564 (1.7651) Prec@1 50.000 (59.744) Prec@5 83.594 (81.350) Epoch: [51][4050/10010] Time 0.320 (0.326) Data 0.001 (0.001) Loss 1.8056 (1.7652) Prec@1 63.281 (59.746) Prec@5 81.250 (81.346) Epoch: [51][4060/10010] Time 0.329 (0.326) Data 0.001 (0.001) Loss 1.5034 (1.7652) Prec@1 67.188 (59.748) Prec@5 83.594 (81.343) Epoch: [51][4070/10010] Time 0.336 (0.326) Data 0.001 (0.001) Loss 1.6364 (1.7653) Prec@1 64.844 (59.745) Prec@5 82.031 (81.341) Epoch: [51][4080/10010] Time 0.320 (0.326) Data 0.001 (0.001) Loss 1.7627 (1.7656) Prec@1 54.688 (59.743) Prec@5 81.250 (81.337) Epoch: [51][4090/10010] Time 0.318 (0.326) Data 0.001 (0.001) Loss 1.6524 (1.7656) Prec@1 64.844 (59.745) Prec@5 82.031 (81.337) Epoch: [51][4100/10010] Time 0.323 (0.326) Data 0.001 (0.001) Loss 1.6448 (1.7656) Prec@1 60.156 (59.748) Prec@5 82.812 (81.340) Epoch: [51][4110/10010] Time 0.324 (0.326) Data 0.000 (0.001) Loss 2.0744 (1.7655) Prec@1 53.906 (59.749) Prec@5 78.125 (81.338) Epoch: [51][4120/10010] Time 0.316 (0.326) Data 0.001 (0.001) Loss 1.6231 (1.7655) Prec@1 64.062 (59.748) Prec@5 85.156 (81.341) Epoch: [51][4130/10010] Time 0.339 (0.326) Data 0.000 (0.001) Loss 1.8726 (1.7655) Prec@1 60.156 (59.746) Prec@5 81.250 (81.342) Epoch: [51][4140/10010] Time 0.306 (0.326) Data 0.001 (0.001) Loss 1.6949 (1.7654) Prec@1 63.281 (59.746) Prec@5 80.469 (81.346) Epoch: [51][4150/10010] Time 0.331 (0.326) Data 0.000 (0.001) Loss 1.8219 (1.7654) Prec@1 58.594 (59.744) Prec@5 82.031 (81.347) Epoch: [51][4160/10010] Time 0.337 (0.326) Data 0.000 (0.001) Loss 1.9606 (1.7656) Prec@1 57.812 (59.744) Prec@5 76.562 (81.346) Epoch: [51][4170/10010] Time 0.334 (0.326) Data 0.001 (0.001) Loss 1.8048 (1.7655) Prec@1 53.906 (59.746) Prec@5 82.031 (81.349) Epoch: [51][4180/10010] Time 0.323 (0.326) Data 0.001 (0.001) Loss 1.6010 (1.7654) Prec@1 63.281 (59.751) Prec@5 85.938 (81.353) Epoch: [51][4190/10010] Time 0.315 (0.326) Data 0.001 (0.001) Loss 1.8544 (1.7657) Prec@1 56.250 (59.746) Prec@5 79.688 (81.348) Epoch: [51][4200/10010] Time 0.311 (0.326) Data 0.000 (0.001) Loss 1.8267 (1.7657) Prec@1 58.594 (59.741) Prec@5 81.250 (81.346) Epoch: [51][4210/10010] Time 0.328 (0.326) Data 0.000 (0.001) Loss 1.8683 (1.7657) Prec@1 58.594 (59.741) Prec@5 81.250 (81.349) Epoch: [51][4220/10010] Time 0.320 (0.326) Data 0.001 (0.001) Loss 1.8636 (1.7658) Prec@1 57.031 (59.740) Prec@5 80.469 (81.347) Epoch: [51][4230/10010] Time 0.319 (0.326) Data 0.000 (0.001) Loss 1.8660 (1.7658) Prec@1 61.719 (59.741) Prec@5 78.906 (81.347) Epoch: [51][4240/10010] Time 0.339 (0.326) Data 0.000 (0.001) Loss 1.7600 (1.7659) Prec@1 58.594 (59.743) Prec@5 79.688 (81.345) Epoch: [51][4250/10010] Time 0.317 (0.326) Data 0.000 (0.001) Loss 1.7239 (1.7660) Prec@1 60.938 (59.741) Prec@5 79.688 (81.344) Epoch: [51][4260/10010] Time 0.340 (0.326) Data 0.000 (0.001) Loss 1.6913 (1.7661) Prec@1 57.812 (59.739) Prec@5 85.156 (81.342) Epoch: [51][4270/10010] Time 0.322 (0.326) Data 0.001 (0.001) Loss 1.7261 (1.7663) Prec@1 60.938 (59.738) Prec@5 81.250 (81.339) Epoch: [51][4280/10010] Time 0.320 (0.326) Data 0.001 (0.001) Loss 1.4845 (1.7663) Prec@1 67.188 (59.737) Prec@5 89.062 (81.341) Epoch: [51][4290/10010] Time 0.325 (0.326) Data 0.001 (0.001) Loss 1.6999 (1.7663) Prec@1 57.031 (59.736) Prec@5 84.375 (81.341) Epoch: [51][4300/10010] Time 0.328 (0.326) Data 0.001 (0.001) Loss 1.4923 (1.7663) Prec@1 64.844 (59.738) Prec@5 85.938 (81.343) Epoch: [51][4310/10010] Time 0.333 (0.326) Data 0.001 (0.001) Loss 1.8799 (1.7663) Prec@1 57.812 (59.738) Prec@5 78.125 (81.344) Epoch: [51][4320/10010] Time 0.317 (0.326) Data 0.001 (0.001) Loss 1.6144 (1.7663) Prec@1 55.469 (59.736) Prec@5 83.594 (81.346) Epoch: [51][4330/10010] Time 0.330 (0.326) Data 0.001 (0.001) Loss 1.9301 (1.7664) Prec@1 60.938 (59.736) Prec@5 78.125 (81.345) Epoch: [51][4340/10010] Time 0.335 (0.326) Data 0.001 (0.001) Loss 1.8811 (1.7664) Prec@1 55.469 (59.734) Prec@5 78.906 (81.344) Epoch: [51][4350/10010] Time 0.338 (0.326) Data 0.001 (0.001) Loss 1.6668 (1.7663) Prec@1 59.375 (59.738) Prec@5 82.031 (81.345) Epoch: [51][4360/10010] Time 0.336 (0.326) Data 0.001 (0.001) Loss 1.7436 (1.7662) Prec@1 62.500 (59.741) Prec@5 83.594 (81.347) Epoch: [51][4370/10010] Time 0.317 (0.326) Data 0.000 (0.001) Loss 1.7842 (1.7661) Prec@1 57.812 (59.742) Prec@5 79.688 (81.347) Epoch: [51][4380/10010] Time 0.340 (0.326) Data 0.000 (0.001) Loss 2.0772 (1.7661) Prec@1 54.688 (59.742) Prec@5 79.688 (81.348) Epoch: [51][4390/10010] Time 0.339 (0.326) Data 0.000 (0.001) Loss 1.6014 (1.7659) Prec@1 57.812 (59.745) Prec@5 86.719 (81.351) Epoch: [51][4400/10010] Time 0.337 (0.326) Data 0.000 (0.001) Loss 1.7397 (1.7661) Prec@1 62.500 (59.744) Prec@5 82.031 (81.348) Epoch: [51][4410/10010] Time 0.335 (0.326) Data 0.001 (0.001) Loss 2.0639 (1.7660) Prec@1 54.688 (59.743) Prec@5 75.781 (81.348) Epoch: [51][4420/10010] Time 0.322 (0.326) Data 0.001 (0.001) Loss 1.8477 (1.7660) Prec@1 59.375 (59.742) Prec@5 79.688 (81.347) Epoch: [51][4430/10010] Time 0.317 (0.326) Data 0.001 (0.001) Loss 1.8970 (1.7662) Prec@1 53.906 (59.739) Prec@5 77.344 (81.344) Epoch: [51][4440/10010] Time 0.336 (0.326) Data 0.001 (0.001) Loss 2.0499 (1.7663) Prec@1 55.469 (59.740) Prec@5 78.906 (81.343) Epoch: [51][4450/10010] Time 0.313 (0.326) Data 0.001 (0.001) Loss 1.8066 (1.7663) Prec@1 57.031 (59.737) Prec@5 80.469 (81.341) Epoch: [51][4460/10010] Time 0.333 (0.326) Data 0.001 (0.001) Loss 1.6789 (1.7662) Prec@1 64.062 (59.739) Prec@5 84.375 (81.343) Epoch: [51][4470/10010] Time 0.318 (0.326) Data 0.001 (0.001) Loss 1.8869 (1.7661) Prec@1 60.938 (59.738) Prec@5 79.688 (81.348) /data/vision/torralba/deepscene/lib/anaconda2/lib/python2.7/site-packages/PIL/TiffImagePlugin.py:692: UserWarning: Possibly corrupt EXIF data. Expecting to read 2555904 bytes but only got 0. Skipping tag 0 "Skipping tag %s" % (size, len(data), tag)) Epoch: [51][4480/10010] Time 0.322 (0.326) Data 0.000 (0.001) Loss 1.9012 (1.7660) Prec@1 57.812 (59.740) Prec@5 77.344 (81.348) Epoch: [51][4490/10010] Time 0.320 (0.326) Data 0.000 (0.001) Loss 1.7681 (1.7660) Prec@1 60.156 (59.742) Prec@5 81.250 (81.347) Epoch: [51][4500/10010] Time 0.318 (0.326) Data 0.001 (0.001) Loss 1.9117 (1.7661) Prec@1 51.562 (59.741) Prec@5 77.344 (81.344) Epoch: [51][4510/10010] Time 0.333 (0.326) Data 0.001 (0.001) Loss 1.7549 (1.7663) Prec@1 60.156 (59.736) Prec@5 82.031 (81.341) Epoch: [51][4520/10010] Time 0.332 (0.326) Data 0.000 (0.001) Loss 1.5975 (1.7665) Prec@1 60.938 (59.732) Prec@5 84.375 (81.337) Epoch: [51][4530/10010] Time 0.332 (0.326) Data 0.001 (0.001) Loss 1.9077 (1.7664) Prec@1 57.812 (59.732) Prec@5 76.562 (81.337) Epoch: [51][4540/10010] Time 0.314 (0.326) Data 0.000 (0.001) Loss 1.8910 (1.7662) Prec@1 61.719 (59.740) Prec@5 78.125 (81.336) Epoch: [51][4550/10010] Time 0.333 (0.326) Data 0.001 (0.001) Loss 1.5590 (1.7660) Prec@1 62.500 (59.745) Prec@5 79.688 (81.339) Epoch: [51][4560/10010] Time 0.333 (0.326) Data 0.000 (0.001) Loss 1.8401 (1.7661) Prec@1 59.375 (59.742) Prec@5 82.031 (81.338) Epoch: [51][4570/10010] Time 0.314 (0.326) Data 0.001 (0.001) Loss 2.0595 (1.7662) Prec@1 52.344 (59.741) Prec@5 78.906 (81.338) Epoch: [51][4580/10010] Time 0.339 (0.326) Data 0.000 (0.001) Loss 1.6910 (1.7662) Prec@1 58.594 (59.736) Prec@5 85.156 (81.340) Epoch: [51][4590/10010] Time 0.320 (0.326) Data 0.000 (0.001) Loss 1.4937 (1.7662) Prec@1 69.531 (59.739) Prec@5 86.719 (81.341) Epoch: [51][4600/10010] Time 0.323 (0.326) Data 0.000 (0.001) Loss 1.5983 (1.7661) Prec@1 62.500 (59.738) Prec@5 82.812 (81.343) Epoch: [51][4610/10010] Time 0.338 (0.326) Data 0.001 (0.001) Loss 1.7642 (1.7664) Prec@1 56.250 (59.733) Prec@5 82.031 (81.341) Epoch: [51][4620/10010] Time 0.312 (0.326) Data 0.001 (0.001) Loss 2.2540 (1.7664) Prec@1 50.000 (59.736) Prec@5 78.125 (81.339) Epoch: [51][4630/10010] Time 0.334 (0.326) Data 0.001 (0.001) Loss 1.6641 (1.7665) Prec@1 59.375 (59.733) Prec@5 85.938 (81.338) Epoch: [51][4640/10010] Time 0.334 (0.326) Data 0.001 (0.001) Loss 1.7618 (1.7666) Prec@1 58.594 (59.728) Prec@5 82.031 (81.338) Epoch: [51][4650/10010] Time 0.317 (0.326) Data 0.001 (0.001) Loss 1.9179 (1.7666) Prec@1 51.562 (59.727) Prec@5 81.250 (81.337) Epoch: [51][4660/10010] Time 0.339 (0.326) Data 0.000 (0.001) Loss 1.9656 (1.7668) Prec@1 58.594 (59.727) Prec@5 78.125 (81.332) Epoch: [51][4670/10010] Time 0.328 (0.326) Data 0.000 (0.001) Loss 1.7504 (1.7668) Prec@1 60.938 (59.725) Prec@5 79.688 (81.333) Epoch: [51][4680/10010] Time 0.337 (0.326) Data 0.001 (0.001) Loss 1.7519 (1.7670) Prec@1 55.469 (59.720) Prec@5 80.469 (81.331) Epoch: [51][4690/10010] Time 0.324 (0.326) Data 0.000 (0.001) Loss 1.5875 (1.7669) Prec@1 64.844 (59.720) Prec@5 81.250 (81.331) Epoch: [51][4700/10010] Time 0.338 (0.326) Data 0.001 (0.001) Loss 1.7235 (1.7668) Prec@1 61.719 (59.722) Prec@5 83.594 (81.333) Epoch: [51][4710/10010] Time 0.316 (0.326) Data 0.001 (0.001) Loss 2.2048 (1.7669) Prec@1 52.344 (59.721) Prec@5 73.438 (81.331) Epoch: [51][4720/10010] Time 0.315 (0.326) Data 0.001 (0.001) Loss 1.9680 (1.7671) Prec@1 54.688 (59.717) Prec@5 80.469 (81.329) Epoch: [51][4730/10010] Time 0.310 (0.326) Data 0.001 (0.001) Loss 1.9804 (1.7673) Prec@1 55.469 (59.714) Prec@5 79.688 (81.327) Epoch: [51][4740/10010] Time 0.335 (0.326) Data 0.001 (0.001) Loss 1.7338 (1.7673) Prec@1 63.281 (59.714) Prec@5 78.125 (81.326) Epoch: [51][4750/10010] Time 0.337 (0.326) Data 0.000 (0.001) Loss 1.8369 (1.7675) Prec@1 63.281 (59.710) Prec@5 82.031 (81.323) Epoch: [51][4760/10010] Time 0.319 (0.326) Data 0.001 (0.001) Loss 1.5121 (1.7675) Prec@1 62.500 (59.708) Prec@5 84.375 (81.321) Epoch: [51][4770/10010] Time 0.321 (0.326) Data 0.001 (0.001) Loss 1.7352 (1.7678) Prec@1 60.938 (59.703) Prec@5 83.594 (81.317) Epoch: [51][4780/10010] Time 0.330 (0.326) Data 0.001 (0.001) Loss 2.0260 (1.7679) Prec@1 51.562 (59.703) Prec@5 77.344 (81.317) Epoch: [51][4790/10010] Time 0.314 (0.326) Data 0.001 (0.001) Loss 1.6911 (1.7677) Prec@1 64.844 (59.709) Prec@5 85.938 (81.319) Epoch: [51][4800/10010] Time 0.328 (0.326) Data 0.001 (0.001) Loss 1.6532 (1.7676) Prec@1 64.844 (59.713) Prec@5 82.031 (81.319) Epoch: [51][4810/10010] Time 0.320 (0.326) Data 0.001 (0.001) Loss 1.8385 (1.7676) Prec@1 57.031 (59.715) Prec@5 78.906 (81.321) Epoch: [51][4820/10010] Time 0.341 (0.326) Data 0.001 (0.001) Loss 1.6857 (1.7677) Prec@1 61.719 (59.712) Prec@5 84.375 (81.319) Epoch: [51][4830/10010] Time 0.323 (0.326) Data 0.000 (0.001) Loss 1.6573 (1.7677) Prec@1 64.062 (59.715) Prec@5 82.031 (81.321) Epoch: [51][4840/10010] Time 0.314 (0.326) Data 0.001 (0.001) Loss 1.8340 (1.7677) Prec@1 56.250 (59.713) Prec@5 82.812 (81.320) Epoch: [51][4850/10010] Time 0.336 (0.326) Data 0.001 (0.001) Loss 1.5514 (1.7678) Prec@1 66.406 (59.712) Prec@5 81.250 (81.318) Epoch: [51][4860/10010] Time 0.340 (0.326) Data 0.000 (0.001) Loss 1.7106 (1.7676) Prec@1 56.250 (59.713) Prec@5 85.156 (81.323) Epoch: [51][4870/10010] Time 0.333 (0.326) Data 0.001 (0.001) Loss 1.9158 (1.7676) Prec@1 56.250 (59.709) Prec@5 77.344 (81.322) Epoch: [51][4880/10010] Time 0.318 (0.326) Data 0.001 (0.001) Loss 1.8755 (1.7677) Prec@1 60.156 (59.709) Prec@5 80.469 (81.320) Epoch: [51][4890/10010] Time 0.318 (0.326) Data 0.001 (0.001) Loss 1.6556 (1.7677) Prec@1 58.594 (59.707) Prec@5 82.812 (81.321) Epoch: [51][4900/10010] Time 0.337 (0.326) Data 0.001 (0.001) Loss 1.5734 (1.7675) Prec@1 61.719 (59.711) Prec@5 83.594 (81.323) Epoch: [51][4910/10010] Time 0.320 (0.326) Data 0.000 (0.001) Loss 1.5863 (1.7677) Prec@1 62.500 (59.711) Prec@5 85.156 (81.321) Epoch: [51][4920/10010] Time 0.316 (0.326) Data 0.001 (0.001) Loss 1.8753 (1.7678) Prec@1 55.469 (59.710) Prec@5 78.125 (81.318) Epoch: [51][4930/10010] Time 0.320 (0.326) Data 0.001 (0.001) Loss 1.5904 (1.7677) Prec@1 57.031 (59.709) Prec@5 87.500 (81.316) Epoch: [51][4940/10010] Time 0.315 (0.326) Data 0.001 (0.001) Loss 1.9700 (1.7677) Prec@1 55.469 (59.708) Prec@5 74.219 (81.318) Epoch: [51][4950/10010] Time 0.330 (0.326) Data 0.000 (0.001) Loss 1.8143 (1.7677) Prec@1 60.938 (59.708) Prec@5 80.469 (81.319) Epoch: [51][4960/10010] Time 0.340 (0.326) Data 0.001 (0.001) Loss 1.7367 (1.7676) Prec@1 57.031 (59.705) Prec@5 82.031 (81.320) Epoch: [51][4970/10010] Time 0.312 (0.326) Data 0.001 (0.001) Loss 1.5660 (1.7677) Prec@1 60.938 (59.701) Prec@5 83.594 (81.320) Epoch: [51][4980/10010] Time 0.320 (0.326) Data 0.000 (0.001) Loss 2.0990 (1.7676) Prec@1 55.469 (59.705) Prec@5 81.250 (81.323) Epoch: [51][4990/10010] Time 0.342 (0.326) Data 0.000 (0.001) Loss 1.9882 (1.7678) Prec@1 53.906 (59.702) Prec@5 75.781 (81.320) Epoch: [51][5000/10010] Time 0.335 (0.326) Data 0.001 (0.001) Loss 1.7557 (1.7679) Prec@1 59.375 (59.703) Prec@5 80.469 (81.319) Epoch: [51][5010/10010] Time 0.338 (0.326) Data 0.001 (0.001) Loss 1.6336 (1.7679) Prec@1 62.500 (59.702) Prec@5 84.375 (81.321) Epoch: [51][5020/10010] Time 0.329 (0.326) Data 0.000 (0.001) Loss 1.7722 (1.7679) Prec@1 62.500 (59.703) Prec@5 83.594 (81.321) Epoch: [51][5030/10010] Time 0.313 (0.326) Data 0.001 (0.001) Loss 1.5620 (1.7679) Prec@1 62.500 (59.701) Prec@5 85.938 (81.324) Epoch: [51][5040/10010] Time 0.336 (0.326) Data 0.001 (0.001) Loss 1.5817 (1.7677) Prec@1 67.188 (59.705) Prec@5 82.812 (81.326) Epoch: [51][5050/10010] Time 0.339 (0.326) Data 0.001 (0.001) Loss 1.6426 (1.7678) Prec@1 59.375 (59.702) Prec@5 85.938 (81.323) Epoch: [51][5060/10010] Time 0.342 (0.326) Data 0.000 (0.001) Loss 1.7337 (1.7678) Prec@1 54.688 (59.701) Prec@5 82.031 (81.321) Epoch: [51][5070/10010] Time 0.339 (0.326) Data 0.000 (0.001) Loss 1.7604 (1.7677) Prec@1 60.938 (59.704) Prec@5 82.031 (81.323) Epoch: [51][5080/10010] Time 0.323 (0.326) Data 0.001 (0.001) Loss 1.6975 (1.7676) Prec@1 62.500 (59.710) Prec@5 81.250 (81.325) Epoch: [51][5090/10010] Time 0.318 (0.326) Data 0.001 (0.001) Loss 1.6459 (1.7675) Prec@1 61.719 (59.708) Prec@5 83.594 (81.325) Epoch: [51][5100/10010] Time 0.313 (0.326) Data 0.000 (0.001) Loss 1.4782 (1.7676) Prec@1 67.188 (59.709) Prec@5 83.594 (81.323) Epoch: [51][5110/10010] Time 0.318 (0.326) Data 0.001 (0.001) Loss 1.9692 (1.7677) Prec@1 52.344 (59.705) Prec@5 78.906 (81.322) Epoch: [51][5120/10010] Time 0.314 (0.326) Data 0.001 (0.001) Loss 1.5774 (1.7676) Prec@1 60.156 (59.706) Prec@5 85.938 (81.323) Epoch: [51][5130/10010] Time 0.330 (0.326) Data 0.001 (0.001) Loss 1.4779 (1.7676) Prec@1 64.062 (59.703) Prec@5 87.500 (81.325) Epoch: [51][5140/10010] Time 0.310 (0.326) Data 0.001 (0.001) Loss 2.0244 (1.7678) Prec@1 53.906 (59.699) Prec@5 75.781 (81.322) Epoch: [51][5150/10010] Time 0.333 (0.326) Data 0.001 (0.001) Loss 1.7358 (1.7679) Prec@1 60.156 (59.698) Prec@5 80.469 (81.321) Epoch: [51][5160/10010] Time 0.318 (0.326) Data 0.000 (0.001) Loss 1.7953 (1.7680) Prec@1 56.250 (59.695) Prec@5 83.594 (81.322) Epoch: [51][5170/10010] Time 0.321 (0.326) Data 0.000 (0.001) Loss 2.1296 (1.7682) Prec@1 57.031 (59.693) Prec@5 75.781 (81.320) Epoch: [51][5180/10010] Time 0.330 (0.326) Data 0.001 (0.001) Loss 1.7138 (1.7682) Prec@1 58.594 (59.694) Prec@5 82.812 (81.318) Epoch: [51][5190/10010] Time 0.317 (0.326) Data 0.001 (0.001) Loss 1.7889 (1.7682) Prec@1 60.156 (59.694) Prec@5 82.031 (81.319) Epoch: [51][5200/10010] Time 0.329 (0.326) Data 0.001 (0.001) Loss 1.7243 (1.7680) Prec@1 59.375 (59.695) Prec@5 82.812 (81.321) Epoch: [51][5210/10010] Time 0.318 (0.326) Data 0.000 (0.001) Loss 1.8154 (1.7679) Prec@1 61.719 (59.696) Prec@5 78.125 (81.322) Epoch: [51][5220/10010] Time 0.334 (0.326) Data 0.001 (0.001) Loss 1.7599 (1.7681) Prec@1 55.469 (59.692) Prec@5 81.250 (81.319) Epoch: [51][5230/10010] Time 0.320 (0.326) Data 0.000 (0.001) Loss 1.7059 (1.7681) Prec@1 60.938 (59.694) Prec@5 83.594 (81.319) Epoch: [51][5240/10010] Time 0.335 (0.326) Data 0.000 (0.001) Loss 1.9483 (1.7682) Prec@1 61.719 (59.694) Prec@5 78.906 (81.320) Epoch: [51][5250/10010] Time 0.319 (0.326) Data 0.000 (0.001) Loss 1.8140 (1.7684) Prec@1 55.469 (59.690) Prec@5 81.250 (81.315) Epoch: [51][5260/10010] Time 0.320 (0.326) Data 0.000 (0.001) Loss 1.7098 (1.7683) Prec@1 60.938 (59.693) Prec@5 85.156 (81.319) Epoch: [51][5270/10010] Time 0.324 (0.326) Data 0.001 (0.001) Loss 1.9276 (1.7683) Prec@1 60.156 (59.694) Prec@5 75.781 (81.318) Epoch: [51][5280/10010] Time 0.320 (0.326) Data 0.001 (0.001) Loss 1.4257 (1.7682) Prec@1 64.062 (59.695) Prec@5 83.594 (81.319) Epoch: [51][5290/10010] Time 0.317 (0.326) Data 0.000 (0.001) Loss 2.1066 (1.7680) Prec@1 57.812 (59.700) Prec@5 76.562 (81.322) Epoch: [51][5300/10010] Time 0.335 (0.326) Data 0.000 (0.001) Loss 2.0490 (1.7681) Prec@1 52.344 (59.699) Prec@5 78.125 (81.322) Epoch: [51][5310/10010] Time 0.319 (0.326) Data 0.001 (0.001) Loss 1.5446 (1.7681) Prec@1 62.500 (59.699) Prec@5 84.375 (81.319) Epoch: [51][5320/10010] Time 0.341 (0.326) Data 0.000 (0.001) Loss 1.7881 (1.7683) Prec@1 59.375 (59.697) Prec@5 83.594 (81.318) Epoch: [51][5330/10010] Time 0.338 (0.326) Data 0.001 (0.001) Loss 1.8850 (1.7684) Prec@1 60.156 (59.695) Prec@5 81.250 (81.316) Epoch: [51][5340/10010] Time 0.320 (0.326) Data 0.001 (0.001) Loss 2.0659 (1.7684) Prec@1 55.469 (59.697) Prec@5 77.344 (81.318) Epoch: [51][5350/10010] Time 0.323 (0.326) Data 0.001 (0.001) Loss 1.7724 (1.7684) Prec@1 61.719 (59.697) Prec@5 82.812 (81.318) Epoch: [51][5360/10010] Time 0.335 (0.326) Data 0.000 (0.001) Loss 1.8026 (1.7686) Prec@1 61.719 (59.694) Prec@5 84.375 (81.315) Epoch: [51][5370/10010] Time 0.321 (0.326) Data 0.000 (0.001) Loss 1.5862 (1.7686) Prec@1 59.375 (59.690) Prec@5 83.594 (81.313) Epoch: [51][5380/10010] Time 0.334 (0.326) Data 0.000 (0.001) Loss 1.6655 (1.7686) Prec@1 67.969 (59.692) Prec@5 85.938 (81.314) Epoch: [51][5390/10010] Time 0.320 (0.326) Data 0.001 (0.001) Loss 1.7089 (1.7687) Prec@1 61.719 (59.691) Prec@5 80.469 (81.311) Epoch: [51][5400/10010] Time 0.324 (0.326) Data 0.000 (0.001) Loss 1.7384 (1.7687) Prec@1 58.594 (59.692) Prec@5 84.375 (81.311) Epoch: [51][5410/10010] Time 0.323 (0.326) Data 0.001 (0.001) Loss 1.8947 (1.7686) Prec@1 54.688 (59.691) Prec@5 80.469 (81.311) Epoch: [51][5420/10010] Time 0.318 (0.326) Data 0.001 (0.001) Loss 1.9501 (1.7686) Prec@1 61.719 (59.690) Prec@5 79.688 (81.311) Epoch: [51][5430/10010] Time 0.317 (0.326) Data 0.001 (0.001) Loss 1.7737 (1.7688) Prec@1 59.375 (59.687) Prec@5 82.031 (81.309) Epoch: [51][5440/10010] Time 0.319 (0.326) Data 0.001 (0.001) Loss 1.7272 (1.7688) Prec@1 59.375 (59.688) Prec@5 83.594 (81.310) Epoch: [51][5450/10010] Time 0.332 (0.326) Data 0.000 (0.001) Loss 1.7839 (1.7689) Prec@1 60.156 (59.688) Prec@5 82.031 (81.309) Epoch: [51][5460/10010] Time 0.342 (0.326) Data 0.000 (0.001) Loss 1.8445 (1.7688) Prec@1 57.031 (59.688) Prec@5 82.812 (81.312) Epoch: [51][5470/10010] Time 0.318 (0.326) Data 0.001 (0.001) Loss 1.8011 (1.7689) Prec@1 53.125 (59.689) Prec@5 79.688 (81.311) Epoch: [51][5480/10010] Time 0.320 (0.326) Data 0.001 (0.001) Loss 1.7078 (1.7689) Prec@1 64.062 (59.689) Prec@5 81.250 (81.311) Epoch: [51][5490/10010] Time 0.323 (0.326) Data 0.000 (0.001) Loss 1.5848 (1.7690) Prec@1 60.938 (59.686) Prec@5 85.156 (81.311) Epoch: [51][5500/10010] Time 0.336 (0.326) Data 0.001 (0.001) Loss 1.7502 (1.7690) Prec@1 59.375 (59.684) Prec@5 85.938 (81.310) Epoch: [51][5510/10010] Time 0.314 (0.326) Data 0.001 (0.001) Loss 1.8200 (1.7691) Prec@1 55.469 (59.679) Prec@5 79.688 (81.308) Epoch: [51][5520/10010] Time 0.317 (0.326) Data 0.001 (0.001) Loss 1.5012 (1.7692) Prec@1 62.500 (59.675) Prec@5 85.938 (81.308) Epoch: [51][5530/10010] Time 0.333 (0.326) Data 0.001 (0.001) Loss 1.6731 (1.7692) Prec@1 56.250 (59.676) Prec@5 83.594 (81.308) Epoch: [51][5540/10010] Time 0.328 (0.326) Data 0.001 (0.001) Loss 1.7401 (1.7692) Prec@1 57.031 (59.672) Prec@5 80.469 (81.308) Epoch: [51][5550/10010] Time 0.334 (0.326) Data 0.001 (0.001) Loss 1.7275 (1.7693) Prec@1 60.938 (59.669) Prec@5 79.688 (81.305) Epoch: [51][5560/10010] Time 0.323 (0.326) Data 0.001 (0.001) Loss 2.1421 (1.7694) Prec@1 50.000 (59.667) Prec@5 78.906 (81.304) Epoch: [51][5570/10010] Time 0.336 (0.326) Data 0.000 (0.001) Loss 1.6317 (1.7693) Prec@1 56.250 (59.668) Prec@5 80.469 (81.303) Epoch: [51][5580/10010] Time 0.339 (0.326) Data 0.000 (0.001) Loss 1.8149 (1.7693) Prec@1 56.250 (59.668) Prec@5 82.031 (81.305) Epoch: [51][5590/10010] Time 0.324 (0.326) Data 0.000 (0.001) Loss 1.8944 (1.7695) Prec@1 55.469 (59.662) Prec@5 77.344 (81.302) Epoch: [51][5600/10010] Time 0.328 (0.326) Data 0.001 (0.001) Loss 1.5631 (1.7696) Prec@1 65.625 (59.659) Prec@5 86.719 (81.301) Epoch: [51][5610/10010] Time 0.335 (0.326) Data 0.001 (0.001) Loss 1.6227 (1.7696) Prec@1 58.594 (59.658) Prec@5 86.719 (81.303) Epoch: [51][5620/10010] Time 0.315 (0.326) Data 0.001 (0.001) Loss 1.5188 (1.7697) Prec@1 61.719 (59.657) Prec@5 85.938 (81.303) Epoch: [51][5630/10010] Time 0.324 (0.326) Data 0.001 (0.001) Loss 1.7897 (1.7698) Prec@1 60.156 (59.651) Prec@5 78.906 (81.300) Epoch: [51][5640/10010] Time 0.342 (0.326) Data 0.001 (0.001) Loss 1.6636 (1.7700) Prec@1 62.500 (59.648) Prec@5 83.594 (81.299) Epoch: [51][5650/10010] Time 0.321 (0.326) Data 0.000 (0.001) Loss 1.9511 (1.7701) Prec@1 60.156 (59.647) Prec@5 75.000 (81.293) Epoch: [51][5660/10010] Time 0.323 (0.326) Data 0.001 (0.001) Loss 1.7778 (1.7702) Prec@1 59.375 (59.645) Prec@5 78.125 (81.293) Epoch: [51][5670/10010] Time 0.334 (0.326) Data 0.001 (0.001) Loss 1.7284 (1.7702) Prec@1 60.156 (59.645) Prec@5 78.125 (81.293) Epoch: [51][5680/10010] Time 0.322 (0.326) Data 0.001 (0.001) Loss 1.6601 (1.7702) Prec@1 57.031 (59.643) Prec@5 84.375 (81.293) Epoch: [51][5690/10010] Time 0.335 (0.326) Data 0.001 (0.001) Loss 1.4827 (1.7703) Prec@1 61.719 (59.639) Prec@5 86.719 (81.294) Epoch: [51][5700/10010] Time 0.338 (0.326) Data 0.000 (0.001) Loss 1.5284 (1.7702) Prec@1 60.156 (59.641) Prec@5 90.625 (81.295) Epoch: [51][5710/10010] Time 0.336 (0.326) Data 0.000 (0.001) Loss 1.5902 (1.7701) Prec@1 60.938 (59.643) Prec@5 84.375 (81.297) Epoch: [51][5720/10010] Time 0.326 (0.326) Data 0.001 (0.001) Loss 1.7661 (1.7702) Prec@1 60.938 (59.643) Prec@5 83.594 (81.295) Epoch: [51][5730/10010] Time 0.338 (0.326) Data 0.001 (0.001) Loss 1.7873 (1.7701) Prec@1 59.375 (59.643) Prec@5 78.906 (81.294) Epoch: [51][5740/10010] Time 0.324 (0.326) Data 0.000 (0.001) Loss 1.7563 (1.7702) Prec@1 59.375 (59.644) Prec@5 82.812 (81.292) Epoch: [51][5750/10010] Time 0.339 (0.326) Data 0.001 (0.001) Loss 1.6464 (1.7702) Prec@1 64.062 (59.645) Prec@5 83.594 (81.291) Epoch: [51][5760/10010] Time 0.339 (0.326) Data 0.000 (0.001) Loss 1.7121 (1.7703) Prec@1 59.375 (59.642) Prec@5 85.156 (81.289) Epoch: [51][5770/10010] Time 0.325 (0.326) Data 0.000 (0.001) Loss 1.7355 (1.7703) Prec@1 57.031 (59.638) Prec@5 79.688 (81.288) Epoch: [51][5780/10010] Time 0.326 (0.326) Data 0.001 (0.001) Loss 1.8626 (1.7704) Prec@1 54.688 (59.637) Prec@5 79.688 (81.286) Epoch: [51][5790/10010] Time 0.331 (0.326) Data 0.000 (0.001) Loss 1.7094 (1.7704) Prec@1 64.844 (59.642) Prec@5 82.812 (81.286) Epoch: [51][5800/10010] Time 0.317 (0.326) Data 0.001 (0.001) Loss 1.9449 (1.7704) Prec@1 55.469 (59.642) Prec@5 78.906 (81.286) Epoch: [51][5810/10010] Time 0.331 (0.326) Data 0.001 (0.001) Loss 2.1174 (1.7705) Prec@1 54.688 (59.639) Prec@5 71.875 (81.285) Epoch: [51][5820/10010] Time 0.335 (0.326) Data 0.000 (0.001) Loss 1.9961 (1.7706) Prec@1 62.500 (59.635) Prec@5 78.125 (81.282) Epoch: [51][5830/10010] Time 0.314 (0.326) Data 0.000 (0.001) Loss 1.6982 (1.7708) Prec@1 62.500 (59.634) Prec@5 82.812 (81.279) Epoch: [51][5840/10010] Time 0.329 (0.326) Data 0.001 (0.001) Loss 1.7850 (1.7711) Prec@1 57.812 (59.630) Prec@5 84.375 (81.276) Epoch: [51][5850/10010] Time 0.320 (0.326) Data 0.000 (0.001) Loss 1.9608 (1.7711) Prec@1 53.906 (59.628) Prec@5 76.562 (81.276) Epoch: [51][5860/10010] Time 0.335 (0.326) Data 0.000 (0.001) Loss 1.8894 (1.7711) Prec@1 57.812 (59.630) Prec@5 82.812 (81.276) Epoch: [51][5870/10010] Time 0.340 (0.326) Data 0.000 (0.001) Loss 1.9717 (1.7711) Prec@1 56.250 (59.629) Prec@5 78.125 (81.275) Epoch: [51][5880/10010] Time 0.337 (0.326) Data 0.001 (0.001) Loss 1.9505 (1.7712) Prec@1 54.688 (59.626) Prec@5 78.125 (81.274) Epoch: [51][5890/10010] Time 0.319 (0.326) Data 0.001 (0.001) Loss 1.9623 (1.7711) Prec@1 50.781 (59.626) Prec@5 80.469 (81.277) Epoch: [51][5900/10010] Time 0.338 (0.326) Data 0.001 (0.001) Loss 1.8583 (1.7712) Prec@1 60.156 (59.626) Prec@5 80.469 (81.275) Epoch: [51][5910/10010] Time 0.313 (0.326) Data 0.000 (0.001) Loss 1.5797 (1.7712) Prec@1 64.844 (59.626) Prec@5 85.938 (81.277) Epoch: [51][5920/10010] Time 0.331 (0.326) Data 0.001 (0.001) Loss 1.7628 (1.7711) Prec@1 63.281 (59.628) Prec@5 79.688 (81.280) Epoch: [51][5930/10010] Time 0.324 (0.326) Data 0.001 (0.001) Loss 1.3313 (1.7710) Prec@1 68.750 (59.628) Prec@5 84.375 (81.280) Epoch: [51][5940/10010] Time 0.322 (0.326) Data 0.000 (0.001) Loss 1.7046 (1.7710) Prec@1 65.625 (59.630) Prec@5 80.469 (81.279) Epoch: [51][5950/10010] Time 0.317 (0.326) Data 0.001 (0.001) Loss 1.5987 (1.7711) Prec@1 61.719 (59.626) Prec@5 83.594 (81.277) Epoch: [51][5960/10010] Time 0.343 (0.326) Data 0.000 (0.001) Loss 1.8703 (1.7711) Prec@1 60.156 (59.627) Prec@5 82.812 (81.277) Epoch: [51][5970/10010] Time 0.314 (0.326) Data 0.001 (0.001) Loss 2.0447 (1.7712) Prec@1 53.125 (59.624) Prec@5 78.906 (81.276) Epoch: [51][5980/10010] Time 0.319 (0.326) Data 0.001 (0.001) Loss 1.7822 (1.7713) Prec@1 61.719 (59.623) Prec@5 79.688 (81.274) Epoch: [51][5990/10010] Time 0.339 (0.326) Data 0.000 (0.001) Loss 1.7973 (1.7713) Prec@1 59.375 (59.624) Prec@5 82.812 (81.273) Epoch: [51][6000/10010] Time 0.322 (0.326) Data 0.001 (0.001) Loss 1.8798 (1.7713) Prec@1 54.688 (59.622) Prec@5 81.250 (81.273) Epoch: [51][6010/10010] Time 0.334 (0.326) Data 0.001 (0.001) Loss 1.6508 (1.7713) Prec@1 61.719 (59.623) Prec@5 82.812 (81.273) Epoch: [51][6020/10010] Time 0.333 (0.326) Data 0.001 (0.001) Loss 1.4932 (1.7712) Prec@1 65.625 (59.625) Prec@5 86.719 (81.275) Epoch: [51][6030/10010] Time 0.328 (0.326) Data 0.001 (0.001) Loss 1.6812 (1.7710) Prec@1 61.719 (59.627) Prec@5 82.031 (81.278) Epoch: [51][6040/10010] Time 0.320 (0.326) Data 0.001 (0.001) Loss 2.2045 (1.7711) Prec@1 53.125 (59.627) Prec@5 73.438 (81.276) Epoch: [51][6050/10010] Time 0.334 (0.326) Data 0.000 (0.001) Loss 1.6920 (1.7711) Prec@1 56.250 (59.625) Prec@5 80.469 (81.275) Epoch: [51][6060/10010] Time 0.320 (0.326) Data 0.001 (0.001) Loss 1.9758 (1.7710) Prec@1 57.812 (59.629) Prec@5 79.688 (81.275) Epoch: [51][6070/10010] Time 0.337 (0.326) Data 0.001 (0.001) Loss 1.6864 (1.7710) Prec@1 60.156 (59.627) Prec@5 79.688 (81.272) Epoch: [51][6080/10010] Time 0.314 (0.326) Data 0.001 (0.001) Loss 1.5175 (1.7709) Prec@1 62.500 (59.627) Prec@5 86.719 (81.274) Epoch: [51][6090/10010] Time 0.324 (0.326) Data 0.001 (0.001) Loss 1.9032 (1.7712) Prec@1 59.375 (59.623) Prec@5 82.031 (81.271) Epoch: [51][6100/10010] Time 0.336 (0.326) Data 0.001 (0.001) Loss 1.4248 (1.7711) Prec@1 67.969 (59.624) Prec@5 85.938 (81.272) Epoch: [51][6110/10010] Time 0.317 (0.326) Data 0.001 (0.001) Loss 1.4961 (1.7713) Prec@1 66.406 (59.619) Prec@5 85.938 (81.270) Epoch: [51][6120/10010] Time 0.326 (0.326) Data 0.001 (0.001) Loss 1.6976 (1.7713) Prec@1 63.281 (59.620) Prec@5 80.469 (81.269) Epoch: [51][6130/10010] Time 0.333 (0.326) Data 0.001 (0.001) Loss 1.7958 (1.7715) Prec@1 58.594 (59.618) Prec@5 81.250 (81.267) Epoch: [51][6140/10010] Time 0.324 (0.326) Data 0.001 (0.001) Loss 1.9347 (1.7717) Prec@1 56.250 (59.614) Prec@5 75.781 (81.264) Epoch: [51][6150/10010] Time 0.312 (0.326) Data 0.001 (0.001) Loss 1.7778 (1.7718) Prec@1 57.812 (59.612) Prec@5 82.812 (81.262) Epoch: [51][6160/10010] Time 0.318 (0.326) Data 0.001 (0.001) Loss 1.6724 (1.7717) Prec@1 63.281 (59.612) Prec@5 85.156 (81.262) /data/vision/torralba/deepscene/lib/anaconda2/lib/python2.7/site-packages/PIL/TiffImagePlugin.py:692: UserWarning: Possibly corrupt EXIF data. Expecting to read 2555904 bytes but only got 0. Skipping tag 0 "Skipping tag %s" % (size, len(data), tag)) Epoch: [51][6170/10010] Time 0.330 (0.326) Data 0.001 (0.001) Loss 1.7565 (1.7719) Prec@1 57.812 (59.608) Prec@5 86.719 (81.262) Epoch: [51][6180/10010] Time 0.320 (0.326) Data 0.000 (0.001) Loss 1.9323 (1.7719) Prec@1 57.031 (59.607) Prec@5 78.125 (81.261) Epoch: [51][6190/10010] Time 0.312 (0.326) Data 0.000 (0.001) Loss 1.9595 (1.7720) Prec@1 59.375 (59.607) Prec@5 74.219 (81.259) Epoch: [51][6200/10010] Time 0.323 (0.326) Data 0.000 (0.001) Loss 2.1260 (1.7723) Prec@1 53.906 (59.603) Prec@5 78.125 (81.255) Epoch: [51][6210/10010] Time 0.331 (0.326) Data 0.001 (0.001) Loss 2.0110 (1.7724) Prec@1 53.906 (59.599) Prec@5 78.906 (81.253) Epoch: [51][6220/10010] Time 0.327 (0.326) Data 0.001 (0.001) Loss 1.9333 (1.7726) Prec@1 54.688 (59.596) Prec@5 80.469 (81.251) Epoch: [51][6230/10010] Time 0.323 (0.326) Data 0.001 (0.001) Loss 1.5805 (1.7726) Prec@1 66.406 (59.597) Prec@5 82.812 (81.251) Epoch: [51][6240/10010] Time 0.337 (0.326) Data 0.001 (0.001) Loss 2.0592 (1.7727) Prec@1 50.000 (59.596) Prec@5 78.906 (81.249) Epoch: [51][6250/10010] Time 0.328 (0.326) Data 0.001 (0.001) Loss 1.8265 (1.7727) Prec@1 58.594 (59.597) Prec@5 77.344 (81.248) Epoch: [51][6260/10010] Time 0.338 (0.326) Data 0.000 (0.001) Loss 2.1688 (1.7728) Prec@1 49.219 (59.595) Prec@5 74.219 (81.247) Epoch: [51][6270/10010] Time 0.335 (0.326) Data 0.000 (0.001) Loss 1.8620 (1.7729) Prec@1 59.375 (59.596) Prec@5 80.469 (81.245) Epoch: [51][6280/10010] Time 0.315 (0.326) Data 0.001 (0.001) Loss 1.8384 (1.7729) Prec@1 64.062 (59.595) Prec@5 79.688 (81.245) Epoch: [51][6290/10010] Time 0.320 (0.326) Data 0.001 (0.001) Loss 1.4239 (1.7729) Prec@1 66.406 (59.594) Prec@5 89.062 (81.244) Epoch: [51][6300/10010] Time 0.324 (0.326) Data 0.001 (0.001) Loss 1.6226 (1.7729) Prec@1 64.062 (59.595) Prec@5 82.812 (81.243) Epoch: [51][6310/10010] Time 0.322 (0.326) Data 0.000 (0.001) Loss 2.2859 (1.7731) Prec@1 54.688 (59.593) Prec@5 72.656 (81.241) Epoch: [51][6320/10010] Time 0.317 (0.326) Data 0.001 (0.001) Loss 1.6131 (1.7731) Prec@1 61.719 (59.593) Prec@5 84.375 (81.241) Epoch: [51][6330/10010] Time 0.317 (0.326) Data 0.001 (0.001) Loss 2.1022 (1.7732) Prec@1 51.562 (59.591) Prec@5 75.000 (81.237) Epoch: [51][6340/10010] Time 0.332 (0.326) Data 0.000 (0.001) Loss 1.7587 (1.7733) Prec@1 60.938 (59.588) Prec@5 79.688 (81.236) Epoch: [51][6350/10010] Time 0.317 (0.326) Data 0.001 (0.001) Loss 1.8236 (1.7732) Prec@1 59.375 (59.589) Prec@5 79.688 (81.238) Epoch: [51][6360/10010] Time 0.319 (0.326) Data 0.000 (0.001) Loss 1.9987 (1.7732) Prec@1 50.781 (59.586) Prec@5 78.906 (81.236) Epoch: [51][6370/10010] Time 0.322 (0.326) Data 0.000 (0.001) Loss 1.7411 (1.7732) Prec@1 63.281 (59.588) Prec@5 80.469 (81.235) Epoch: [51][6380/10010] Time 0.319 (0.326) Data 0.001 (0.001) Loss 1.6207 (1.7731) Prec@1 64.062 (59.587) Prec@5 81.250 (81.237) Epoch: [51][6390/10010] Time 0.318 (0.326) Data 0.001 (0.001) Loss 1.7889 (1.7731) Prec@1 61.719 (59.585) Prec@5 78.906 (81.239) Epoch: [51][6400/10010] Time 0.334 (0.326) Data 0.000 (0.001) Loss 2.3380 (1.7732) Prec@1 46.875 (59.583) Prec@5 71.875 (81.237) Epoch: [51][6410/10010] Time 0.321 (0.326) Data 0.000 (0.001) Loss 1.8028 (1.7731) Prec@1 57.031 (59.584) Prec@5 78.906 (81.238) Epoch: [51][6420/10010] Time 0.319 (0.326) Data 0.001 (0.001) Loss 1.7615 (1.7730) Prec@1 61.719 (59.587) Prec@5 82.812 (81.240) Epoch: [51][6430/10010] Time 0.321 (0.326) Data 0.001 (0.001) Loss 1.9905 (1.7731) Prec@1 57.031 (59.585) Prec@5 78.906 (81.239) Epoch: [51][6440/10010] Time 0.336 (0.326) Data 0.000 (0.001) Loss 2.0861 (1.7731) Prec@1 52.344 (59.586) Prec@5 76.562 (81.239) Epoch: [51][6450/10010] Time 0.320 (0.326) Data 0.000 (0.001) Loss 1.6145 (1.7731) Prec@1 64.062 (59.589) Prec@5 82.031 (81.241) Epoch: [51][6460/10010] Time 0.339 (0.326) Data 0.001 (0.001) Loss 1.8596 (1.7731) Prec@1 53.906 (59.587) Prec@5 81.250 (81.240) Epoch: [51][6470/10010] Time 0.335 (0.326) Data 0.001 (0.001) Loss 1.5871 (1.7732) Prec@1 64.062 (59.583) Prec@5 82.031 (81.238) Epoch: [51][6480/10010] Time 0.321 (0.326) Data 0.001 (0.001) Loss 2.0532 (1.7732) Prec@1 54.688 (59.583) Prec@5 77.344 (81.237) Epoch: [51][6490/10010] Time 0.322 (0.326) Data 0.000 (0.001) Loss 1.6455 (1.7731) Prec@1 69.531 (59.585) Prec@5 82.031 (81.236) Epoch: [51][6500/10010] Time 0.327 (0.326) Data 0.001 (0.001) Loss 2.0405 (1.7733) Prec@1 57.031 (59.582) Prec@5 78.125 (81.233) Epoch: [51][6510/10010] Time 0.327 (0.326) Data 0.001 (0.001) Loss 1.8916 (1.7734) Prec@1 55.469 (59.583) Prec@5 78.125 (81.232) Epoch: [51][6520/10010] Time 0.341 (0.326) Data 0.000 (0.001) Loss 1.5765 (1.7733) Prec@1 57.812 (59.587) Prec@5 86.719 (81.236) Epoch: [51][6530/10010] Time 0.327 (0.326) Data 0.001 (0.001) Loss 1.6518 (1.7732) Prec@1 62.500 (59.589) Prec@5 82.031 (81.234) Epoch: [51][6540/10010] Time 0.318 (0.326) Data 0.001 (0.001) Loss 1.7095 (1.7732) Prec@1 62.500 (59.590) Prec@5 84.375 (81.234) Epoch: [51][6550/10010] Time 0.326 (0.326) Data 0.000 (0.001) Loss 1.5117 (1.7733) Prec@1 64.062 (59.589) Prec@5 83.594 (81.231) Epoch: [51][6560/10010] Time 0.314 (0.326) Data 0.001 (0.001) Loss 1.7072 (1.7733) Prec@1 58.594 (59.590) Prec@5 81.250 (81.231) Epoch: [51][6570/10010] Time 0.314 (0.326) Data 0.001 (0.001) Loss 1.7143 (1.7735) Prec@1 58.594 (59.587) Prec@5 82.812 (81.230) Epoch: [51][6580/10010] Time 0.333 (0.326) Data 0.000 (0.001) Loss 2.3119 (1.7737) Prec@1 53.906 (59.587) Prec@5 74.219 (81.228) Epoch: [51][6590/10010] Time 0.324 (0.326) Data 0.001 (0.001) Loss 1.8479 (1.7739) Prec@1 54.688 (59.582) Prec@5 78.125 (81.225) Epoch: [51][6600/10010] Time 0.324 (0.326) Data 0.000 (0.001) Loss 1.7233 (1.7739) Prec@1 56.250 (59.582) Prec@5 82.031 (81.226) Epoch: [51][6610/10010] Time 0.311 (0.326) Data 0.000 (0.001) Loss 1.8222 (1.7740) Prec@1 56.250 (59.582) Prec@5 77.344 (81.223) Epoch: [51][6620/10010] Time 0.335 (0.326) Data 0.001 (0.001) Loss 1.8468 (1.7741) Prec@1 57.031 (59.581) Prec@5 78.125 (81.222) Epoch: [51][6630/10010] Time 0.322 (0.326) Data 0.000 (0.001) Loss 1.7832 (1.7742) Prec@1 57.031 (59.580) Prec@5 78.906 (81.220) Epoch: [51][6640/10010] Time 0.320 (0.326) Data 0.000 (0.001) Loss 1.5925 (1.7742) Prec@1 60.156 (59.579) Prec@5 82.031 (81.219) Epoch: [51][6650/10010] Time 0.314 (0.326) Data 0.001 (0.001) Loss 1.9052 (1.7742) Prec@1 54.688 (59.581) Prec@5 79.688 (81.221) Epoch: [51][6660/10010] Time 0.337 (0.326) Data 0.000 (0.001) Loss 1.5606 (1.7742) Prec@1 63.281 (59.581) Prec@5 83.594 (81.221) Epoch: [51][6670/10010] Time 0.339 (0.326) Data 0.001 (0.001) Loss 1.8901 (1.7743) Prec@1 56.250 (59.578) Prec@5 77.344 (81.220) Epoch: [51][6680/10010] Time 0.327 (0.326) Data 0.001 (0.001) Loss 1.9386 (1.7743) Prec@1 56.250 (59.577) Prec@5 78.125 (81.220) Epoch: [51][6690/10010] Time 0.339 (0.326) Data 0.001 (0.001) Loss 2.4728 (1.7742) Prec@1 51.562 (59.581) Prec@5 71.094 (81.223) Epoch: [51][6700/10010] Time 0.325 (0.326) Data 0.001 (0.001) Loss 1.7339 (1.7742) Prec@1 50.000 (59.581) Prec@5 79.688 (81.221) Epoch: [51][6710/10010] Time 0.319 (0.326) Data 0.001 (0.001) Loss 1.8976 (1.7742) Prec@1 59.375 (59.582) Prec@5 82.031 (81.221) Epoch: [51][6720/10010] Time 0.340 (0.326) Data 0.001 (0.001) Loss 1.4673 (1.7740) Prec@1 60.156 (59.583) Prec@5 88.281 (81.223) Epoch: [51][6730/10010] Time 0.322 (0.326) Data 0.001 (0.001) Loss 1.6197 (1.7741) Prec@1 64.062 (59.582) Prec@5 85.156 (81.222) Epoch: [51][6740/10010] Time 0.339 (0.326) Data 0.000 (0.001) Loss 2.0173 (1.7740) Prec@1 52.344 (59.583) Prec@5 78.125 (81.225) Epoch: [51][6750/10010] Time 0.320 (0.326) Data 0.001 (0.001) Loss 1.7827 (1.7740) Prec@1 60.938 (59.582) Prec@5 82.812 (81.225) Epoch: [51][6760/10010] Time 0.332 (0.326) Data 0.001 (0.001) Loss 1.7949 (1.7740) Prec@1 55.469 (59.581) Prec@5 81.250 (81.225) Epoch: [51][6770/10010] Time 0.336 (0.326) Data 0.001 (0.001) Loss 1.9925 (1.7741) Prec@1 53.906 (59.578) Prec@5 76.562 (81.223) Epoch: [51][6780/10010] Time 0.339 (0.326) Data 0.001 (0.001) Loss 1.7665 (1.7741) Prec@1 56.250 (59.577) Prec@5 86.719 (81.225) Epoch: [51][6790/10010] Time 0.332 (0.326) Data 0.001 (0.001) Loss 1.6754 (1.7740) Prec@1 59.375 (59.580) Prec@5 81.250 (81.226) Epoch: [51][6800/10010] Time 0.328 (0.326) Data 0.000 (0.001) Loss 1.8674 (1.7741) Prec@1 57.031 (59.577) Prec@5 79.688 (81.226) Epoch: [51][6810/10010] Time 0.324 (0.326) Data 0.000 (0.001) Loss 1.5008 (1.7742) Prec@1 62.500 (59.573) Prec@5 88.281 (81.224) Epoch: [51][6820/10010] Time 0.326 (0.326) Data 0.000 (0.001) Loss 2.0267 (1.7742) Prec@1 57.031 (59.573) Prec@5 80.469 (81.225) Epoch: [51][6830/10010] Time 0.321 (0.326) Data 0.001 (0.001) Loss 1.7069 (1.7742) Prec@1 61.719 (59.572) Prec@5 81.250 (81.224) Epoch: [51][6840/10010] Time 0.330 (0.326) Data 0.000 (0.001) Loss 1.7831 (1.7742) Prec@1 60.938 (59.574) Prec@5 79.688 (81.226) Epoch: [51][6850/10010] Time 0.315 (0.326) Data 0.001 (0.001) Loss 2.0510 (1.7743) Prec@1 62.500 (59.573) Prec@5 76.562 (81.223) Epoch: [51][6860/10010] Time 0.314 (0.326) Data 0.001 (0.001) Loss 1.7609 (1.7741) Prec@1 62.500 (59.576) Prec@5 84.375 (81.226) Epoch: [51][6870/10010] Time 0.332 (0.326) Data 0.001 (0.001) Loss 1.8261 (1.7741) Prec@1 58.594 (59.576) Prec@5 82.812 (81.225) Epoch: [51][6880/10010] Time 0.325 (0.326) Data 0.000 (0.001) Loss 1.9052 (1.7740) Prec@1 61.719 (59.577) Prec@5 78.125 (81.226) Epoch: [51][6890/10010] Time 0.329 (0.326) Data 0.001 (0.001) Loss 1.8250 (1.7741) Prec@1 64.844 (59.579) Prec@5 76.562 (81.224) Epoch: [51][6900/10010] Time 0.330 (0.326) Data 0.001 (0.001) Loss 1.6132 (1.7741) Prec@1 65.625 (59.579) Prec@5 81.250 (81.222) Epoch: [51][6910/10010] Time 0.333 (0.326) Data 0.001 (0.001) Loss 1.7261 (1.7743) Prec@1 59.375 (59.576) Prec@5 85.156 (81.220) Epoch: [51][6920/10010] Time 0.339 (0.326) Data 0.000 (0.001) Loss 1.7507 (1.7744) Prec@1 58.594 (59.575) Prec@5 79.688 (81.218) Epoch: [51][6930/10010] Time 0.320 (0.326) Data 0.000 (0.001) Loss 1.8866 (1.7746) Prec@1 61.719 (59.576) Prec@5 78.125 (81.214) Epoch: [51][6940/10010] Time 0.320 (0.326) Data 0.001 (0.001) Loss 1.8660 (1.7746) Prec@1 53.906 (59.574) Prec@5 82.031 (81.214) Epoch: [51][6950/10010] Time 0.331 (0.326) Data 0.000 (0.001) Loss 1.7200 (1.7747) Prec@1 60.938 (59.572) Prec@5 79.688 (81.213) Epoch: [51][6960/10010] Time 0.334 (0.326) Data 0.000 (0.001) Loss 1.7274 (1.7747) Prec@1 57.812 (59.572) Prec@5 80.469 (81.213) Epoch: [51][6970/10010] Time 0.323 (0.326) Data 0.001 (0.001) Loss 1.4582 (1.7746) Prec@1 70.312 (59.573) Prec@5 84.375 (81.216) Epoch: [51][6980/10010] Time 0.338 (0.326) Data 0.000 (0.001) Loss 1.9781 (1.7746) Prec@1 57.031 (59.573) Prec@5 78.125 (81.217) Epoch: [51][6990/10010] Time 0.317 (0.326) Data 0.001 (0.001) Loss 1.5964 (1.7746) Prec@1 64.062 (59.572) Prec@5 84.375 (81.216) Epoch: [51][7000/10010] Time 0.315 (0.326) Data 0.000 (0.001) Loss 1.6810 (1.7745) Prec@1 64.062 (59.573) Prec@5 79.688 (81.217) Epoch: [51][7010/10010] Time 0.325 (0.326) Data 0.001 (0.001) Loss 1.4200 (1.7745) Prec@1 64.062 (59.573) Prec@5 85.938 (81.217) Epoch: [51][7020/10010] Time 0.317 (0.326) Data 0.002 (0.001) Loss 1.8516 (1.7744) Prec@1 57.812 (59.573) Prec@5 79.688 (81.219) Epoch: [51][7030/10010] Time 0.333 (0.326) Data 0.001 (0.001) Loss 1.9523 (1.7745) Prec@1 57.812 (59.571) Prec@5 79.688 (81.217) Epoch: [51][7040/10010] Time 0.319 (0.326) Data 0.000 (0.001) Loss 1.6697 (1.7745) Prec@1 58.594 (59.572) Prec@5 82.031 (81.218) Epoch: [51][7050/10010] Time 0.323 (0.326) Data 0.000 (0.001) Loss 1.8985 (1.7745) Prec@1 60.938 (59.570) Prec@5 78.125 (81.217) Epoch: [51][7060/10010] Time 0.313 (0.326) Data 0.001 (0.001) Loss 1.8224 (1.7746) Prec@1 57.031 (59.568) Prec@5 78.906 (81.217) Epoch: [51][7070/10010] Time 0.329 (0.326) Data 0.000 (0.001) Loss 1.7532 (1.7744) Prec@1 54.688 (59.569) Prec@5 82.812 (81.218) Epoch: [51][7080/10010] Time 0.313 (0.326) Data 0.000 (0.001) Loss 2.0008 (1.7745) Prec@1 54.688 (59.567) Prec@5 79.688 (81.216) Epoch: [51][7090/10010] Time 0.333 (0.326) Data 0.001 (0.001) Loss 1.8915 (1.7744) Prec@1 59.375 (59.569) Prec@5 76.562 (81.217) Epoch: [51][7100/10010] Time 0.330 (0.326) Data 0.000 (0.001) Loss 1.8084 (1.7744) Prec@1 60.938 (59.569) Prec@5 80.469 (81.217) Epoch: [51][7110/10010] Time 0.318 (0.326) Data 0.001 (0.001) Loss 1.4845 (1.7742) Prec@1 68.750 (59.572) Prec@5 85.938 (81.220) Epoch: [51][7120/10010] Time 0.316 (0.326) Data 0.000 (0.001) Loss 2.0701 (1.7742) Prec@1 53.906 (59.571) Prec@5 71.875 (81.218) Epoch: [51][7130/10010] Time 0.322 (0.326) Data 0.000 (0.001) Loss 1.8410 (1.7744) Prec@1 60.938 (59.569) Prec@5 82.812 (81.217) Epoch: [51][7140/10010] Time 0.324 (0.326) Data 0.000 (0.001) Loss 1.7184 (1.7744) Prec@1 63.281 (59.567) Prec@5 78.125 (81.215) Epoch: [51][7150/10010] Time 0.329 (0.326) Data 0.001 (0.001) Loss 1.9122 (1.7745) Prec@1 56.250 (59.565) Prec@5 78.906 (81.215) Epoch: [51][7160/10010] Time 0.327 (0.326) Data 0.001 (0.001) Loss 1.4971 (1.7745) Prec@1 66.406 (59.564) Prec@5 85.156 (81.213) Epoch: [51][7170/10010] Time 0.340 (0.326) Data 0.000 (0.001) Loss 1.8490 (1.7745) Prec@1 58.594 (59.566) Prec@5 75.781 (81.213) Epoch: [51][7180/10010] Time 0.338 (0.326) Data 0.000 (0.001) Loss 1.4207 (1.7745) Prec@1 67.969 (59.564) Prec@5 85.938 (81.213) Epoch: [51][7190/10010] Time 0.317 (0.326) Data 0.001 (0.001) Loss 2.2380 (1.7745) Prec@1 47.656 (59.565) Prec@5 72.656 (81.212) Epoch: [51][7200/10010] Time 0.338 (0.326) Data 0.000 (0.001) Loss 1.9043 (1.7747) Prec@1 59.375 (59.563) Prec@5 82.812 (81.210) Epoch: [51][7210/10010] Time 0.320 (0.326) Data 0.001 (0.001) Loss 1.6014 (1.7747) Prec@1 61.719 (59.564) Prec@5 84.375 (81.209) Epoch: [51][7220/10010] Time 0.318 (0.326) Data 0.001 (0.001) Loss 1.7671 (1.7748) Prec@1 57.031 (59.562) Prec@5 84.375 (81.210) Epoch: [51][7230/10010] Time 0.317 (0.326) Data 0.001 (0.001) Loss 2.0247 (1.7748) Prec@1 53.125 (59.562) Prec@5 77.344 (81.208) Epoch: [51][7240/10010] Time 0.342 (0.326) Data 0.000 (0.001) Loss 1.6734 (1.7748) Prec@1 59.375 (59.561) Prec@5 82.812 (81.207) Epoch: [51][7250/10010] Time 0.313 (0.326) Data 0.001 (0.001) Loss 1.5920 (1.7748) Prec@1 62.500 (59.560) Prec@5 85.938 (81.209) Epoch: [51][7260/10010] Time 0.323 (0.326) Data 0.000 (0.001) Loss 2.0438 (1.7749) Prec@1 55.469 (59.558) Prec@5 78.906 (81.210) Epoch: [51][7270/10010] Time 0.317 (0.326) Data 0.001 (0.001) Loss 1.6518 (1.7750) Prec@1 57.031 (59.554) Prec@5 82.812 (81.206) Epoch: [51][7280/10010] Time 0.318 (0.326) Data 0.000 (0.001) Loss 2.0720 (1.7751) Prec@1 58.594 (59.552) Prec@5 75.781 (81.206) Epoch: [51][7290/10010] Time 0.333 (0.326) Data 0.000 (0.001) Loss 1.7106 (1.7751) Prec@1 61.719 (59.551) Prec@5 78.125 (81.206) Epoch: [51][7300/10010] Time 0.338 (0.326) Data 0.000 (0.001) Loss 1.6865 (1.7751) Prec@1 60.938 (59.549) Prec@5 84.375 (81.204) Epoch: [51][7310/10010] Time 0.339 (0.326) Data 0.001 (0.001) Loss 1.7036 (1.7751) Prec@1 61.719 (59.549) Prec@5 80.469 (81.205) Epoch: [51][7320/10010] Time 0.321 (0.326) Data 0.000 (0.001) Loss 1.8859 (1.7752) Prec@1 62.500 (59.548) Prec@5 79.688 (81.203) Epoch: [51][7330/10010] Time 0.335 (0.326) Data 0.000 (0.001) Loss 2.0653 (1.7753) Prec@1 50.000 (59.544) Prec@5 71.875 (81.201) Epoch: [51][7340/10010] Time 0.319 (0.326) Data 0.001 (0.001) Loss 1.7344 (1.7752) Prec@1 56.250 (59.543) Prec@5 80.469 (81.202) Epoch: [51][7350/10010] Time 0.339 (0.326) Data 0.001 (0.001) Loss 1.6171 (1.7752) Prec@1 62.500 (59.545) Prec@5 83.594 (81.204) Epoch: [51][7360/10010] Time 0.313 (0.326) Data 0.001 (0.001) Loss 1.9884 (1.7753) Prec@1 53.125 (59.541) Prec@5 80.469 (81.203) Epoch: [51][7370/10010] Time 0.335 (0.326) Data 0.000 (0.001) Loss 1.8115 (1.7753) Prec@1 60.156 (59.542) Prec@5 79.688 (81.204) Epoch: [51][7380/10010] Time 0.323 (0.326) Data 0.001 (0.001) Loss 2.0240 (1.7752) Prec@1 54.688 (59.542) Prec@5 75.781 (81.205) Epoch: [51][7390/10010] Time 0.321 (0.326) Data 0.001 (0.001) Loss 1.7708 (1.7753) Prec@1 53.906 (59.540) Prec@5 82.031 (81.203) Epoch: [51][7400/10010] Time 0.314 (0.326) Data 0.001 (0.001) Loss 2.0352 (1.7754) Prec@1 50.781 (59.537) Prec@5 78.125 (81.203) Epoch: [51][7410/10010] Time 0.312 (0.326) Data 0.001 (0.001) Loss 1.6384 (1.7754) Prec@1 60.156 (59.537) Prec@5 84.375 (81.205) Epoch: [51][7420/10010] Time 0.330 (0.326) Data 0.001 (0.001) Loss 1.6577 (1.7753) Prec@1 61.719 (59.537) Prec@5 84.375 (81.205) Epoch: [51][7430/10010] Time 0.318 (0.326) Data 0.001 (0.001) Loss 1.9371 (1.7754) Prec@1 55.469 (59.535) Prec@5 80.469 (81.204) Epoch: [51][7440/10010] Time 0.312 (0.326) Data 0.000 (0.001) Loss 1.7979 (1.7755) Prec@1 59.375 (59.532) Prec@5 82.031 (81.203) Epoch: [51][7450/10010] Time 0.334 (0.326) Data 0.000 (0.001) Loss 1.7474 (1.7756) Prec@1 62.500 (59.530) Prec@5 83.594 (81.204) Epoch: [51][7460/10010] Time 0.324 (0.326) Data 0.001 (0.001) Loss 1.8282 (1.7756) Prec@1 58.594 (59.530) Prec@5 81.250 (81.202) Epoch: [51][7470/10010] Time 0.327 (0.326) Data 0.000 (0.001) Loss 1.8580 (1.7757) Prec@1 56.250 (59.529) Prec@5 81.250 (81.202) Epoch: [51][7480/10010] Time 0.318 (0.326) Data 0.001 (0.001) Loss 1.4239 (1.7757) Prec@1 63.281 (59.529) Prec@5 86.719 (81.201) Epoch: [51][7490/10010] Time 0.333 (0.326) Data 0.000 (0.001) Loss 1.8024 (1.7758) Prec@1 60.938 (59.528) Prec@5 80.469 (81.199) Epoch: [51][7500/10010] Time 0.338 (0.326) Data 0.000 (0.001) Loss 2.1041 (1.7758) Prec@1 57.031 (59.529) Prec@5 76.562 (81.198) Epoch: [51][7510/10010] Time 0.314 (0.326) Data 0.000 (0.001) Loss 2.1320 (1.7760) Prec@1 53.125 (59.528) Prec@5 72.656 (81.193) Epoch: [51][7520/10010] Time 0.311 (0.326) Data 0.001 (0.001) Loss 1.9787 (1.7759) Prec@1 52.344 (59.529) Prec@5 79.688 (81.193) Epoch: [51][7530/10010] Time 0.335 (0.326) Data 0.000 (0.001) Loss 2.0702 (1.7760) Prec@1 52.344 (59.529) Prec@5 75.781 (81.193) Epoch: [51][7540/10010] Time 0.338 (0.326) Data 0.000 (0.001) Loss 1.8480 (1.7759) Prec@1 56.250 (59.531) Prec@5 79.688 (81.195) Epoch: [51][7550/10010] Time 0.336 (0.326) Data 0.001 (0.001) Loss 1.8474 (1.7759) Prec@1 57.812 (59.531) Prec@5 81.250 (81.195) Epoch: [51][7560/10010] Time 0.326 (0.326) Data 0.001 (0.001) Loss 1.8853 (1.7759) Prec@1 60.156 (59.530) Prec@5 82.031 (81.196) Epoch: [51][7570/10010] Time 0.317 (0.326) Data 0.001 (0.001) Loss 1.7769 (1.7759) Prec@1 55.469 (59.529) Prec@5 82.812 (81.195) Epoch: [51][7580/10010] Time 0.322 (0.326) Data 0.000 (0.001) Loss 1.8346 (1.7760) Prec@1 53.906 (59.527) Prec@5 80.469 (81.195) Epoch: [51][7590/10010] Time 0.329 (0.326) Data 0.000 (0.001) Loss 1.7971 (1.7761) Prec@1 53.125 (59.527) Prec@5 78.125 (81.194) /data/vision/torralba/deepscene/lib/anaconda2/lib/python2.7/site-packages/PIL/TiffImagePlugin.py:692: UserWarning: Possibly corrupt EXIF data. Expecting to read 19660800 bytes but only got 0. Skipping tag 0 "Skipping tag %s" % (size, len(data), tag)) /data/vision/torralba/deepscene/lib/anaconda2/lib/python2.7/site-packages/PIL/TiffImagePlugin.py:692: UserWarning: Possibly corrupt EXIF data. Expecting to read 18481152 bytes but only got 0. Skipping tag 0 "Skipping tag %s" % (size, len(data), tag)) /data/vision/torralba/deepscene/lib/anaconda2/lib/python2.7/site-packages/PIL/TiffImagePlugin.py:692: UserWarning: Possibly corrupt EXIF data. Expecting to read 37093376 bytes but only got 0. Skipping tag 0 "Skipping tag %s" % (size, len(data), tag)) /data/vision/torralba/deepscene/lib/anaconda2/lib/python2.7/site-packages/PIL/TiffImagePlugin.py:692: UserWarning: Possibly corrupt EXIF data. Expecting to read 39976960 bytes but only got 0. Skipping tag 0 "Skipping tag %s" % (size, len(data), tag)) /data/vision/torralba/deepscene/lib/anaconda2/lib/python2.7/site-packages/PIL/TiffImagePlugin.py:692: UserWarning: Possibly corrupt EXIF data. Expecting to read 34865152 bytes but only got 0. Skipping tag 0 "Skipping tag %s" % (size, len(data), tag)) /data/vision/torralba/deepscene/lib/anaconda2/lib/python2.7/site-packages/PIL/TiffImagePlugin.py:709: UserWarning: Corrupt EXIF data. Expecting to read 12 bytes but only got 10. warnings.warn(str(msg)) Epoch: [51][7600/10010] Time 0.322 (0.326) Data 0.001 (0.001) Loss 1.8461 (1.7762) Prec@1 56.250 (59.523) Prec@5 79.688 (81.194) Epoch: [51][7610/10010] Time 0.331 (0.326) Data 0.000 (0.001) Loss 1.4660 (1.7760) Prec@1 61.719 (59.527) Prec@5 86.719 (81.197) Epoch: [51][7620/10010] Time 0.323 (0.326) Data 0.000 (0.001) Loss 1.9527 (1.7760) Prec@1 53.906 (59.525) Prec@5 74.219 (81.196) Epoch: [51][7630/10010] Time 0.326 (0.326) Data 0.000 (0.001) Loss 2.1718 (1.7760) Prec@1 53.125 (59.524) Prec@5 74.219 (81.197) Epoch: [51][7640/10010] Time 0.340 (0.326) Data 0.001 (0.001) Loss 1.5522 (1.7760) Prec@1 64.062 (59.524) Prec@5 85.938 (81.197) Epoch: [51][7650/10010] Time 0.341 (0.326) Data 0.001 (0.001) Loss 1.9695 (1.7760) Prec@1 53.125 (59.522) Prec@5 84.375 (81.198) Epoch: [51][7660/10010] Time 0.323 (0.326) Data 0.001 (0.001) Loss 1.7545 (1.7761) Prec@1 64.062 (59.521) Prec@5 79.688 (81.195) Epoch: [51][7670/10010] Time 0.334 (0.326) Data 0.000 (0.001) Loss 1.8347 (1.7762) Prec@1 57.812 (59.521) Prec@5 83.594 (81.194) Epoch: [51][7680/10010] Time 0.337 (0.326) Data 0.001 (0.001) Loss 1.8417 (1.7762) Prec@1 54.688 (59.519) Prec@5 82.031 (81.194) Epoch: [51][7690/10010] Time 0.327 (0.326) Data 0.001 (0.001) Loss 1.9685 (1.7763) Prec@1 52.344 (59.518) Prec@5 79.688 (81.193) Epoch: [51][7700/10010] Time 0.317 (0.326) Data 0.000 (0.001) Loss 1.5768 (1.7763) Prec@1 60.938 (59.515) Prec@5 86.719 (81.194) Epoch: [51][7710/10010] Time 0.336 (0.326) Data 0.000 (0.001) Loss 1.7222 (1.7763) Prec@1 57.031 (59.515) Prec@5 80.469 (81.195) Epoch: [51][7720/10010] Time 0.336 (0.326) Data 0.001 (0.001) Loss 1.5059 (1.7762) Prec@1 59.375 (59.513) Prec@5 89.062 (81.196) Epoch: [51][7730/10010] Time 0.337 (0.326) Data 0.000 (0.001) Loss 1.7018 (1.7763) Prec@1 61.719 (59.511) Prec@5 78.125 (81.193) Epoch: [51][7740/10010] Time 0.324 (0.326) Data 0.001 (0.001) Loss 1.8223 (1.7764) Prec@1 57.031 (59.509) Prec@5 82.812 (81.191) Epoch: [51][7750/10010] Time 0.332 (0.326) Data 0.000 (0.001) Loss 2.0314 (1.7764) Prec@1 52.344 (59.510) Prec@5 75.781 (81.191) Epoch: [51][7760/10010] Time 0.336 (0.326) Data 0.001 (0.001) Loss 1.9130 (1.7764) Prec@1 58.594 (59.512) Prec@5 74.219 (81.192) Epoch: [51][7770/10010] Time 0.316 (0.326) Data 0.001 (0.001) Loss 1.8342 (1.7764) Prec@1 55.469 (59.513) Prec@5 81.250 (81.192) Epoch: [51][7780/10010] Time 0.316 (0.326) Data 0.000 (0.001) Loss 1.5021 (1.7764) Prec@1 65.625 (59.513) Prec@5 86.719 (81.192) Epoch: [51][7790/10010] Time 0.309 (0.326) Data 0.001 (0.001) Loss 1.7192 (1.7764) Prec@1 63.281 (59.513) Prec@5 81.250 (81.193) Epoch: [51][7800/10010] Time 0.332 (0.326) Data 0.001 (0.001) Loss 1.7077 (1.7763) Prec@1 60.156 (59.514) Prec@5 84.375 (81.195) Epoch: [51][7810/10010] Time 0.317 (0.326) Data 0.001 (0.001) Loss 1.8418 (1.7762) Prec@1 61.719 (59.515) Prec@5 80.469 (81.195) Epoch: [51][7820/10010] Time 0.315 (0.326) Data 0.001 (0.001) Loss 1.8748 (1.7762) Prec@1 63.281 (59.515) Prec@5 79.688 (81.195) Epoch: [51][7830/10010] Time 0.323 (0.326) Data 0.000 (0.001) Loss 1.7771 (1.7762) Prec@1 55.469 (59.517) Prec@5 83.594 (81.197) Epoch: [51][7840/10010] Time 0.321 (0.326) Data 0.000 (0.001) Loss 1.7650 (1.7762) Prec@1 59.375 (59.517) Prec@5 81.250 (81.199) Epoch: [51][7850/10010] Time 0.315 (0.326) Data 0.001 (0.001) Loss 1.5162 (1.7762) Prec@1 65.625 (59.517) Prec@5 84.375 (81.198) Epoch: [51][7860/10010] Time 0.316 (0.326) Data 0.001 (0.001) Loss 1.6022 (1.7762) Prec@1 64.062 (59.517) Prec@5 83.594 (81.198) Epoch: [51][7870/10010] Time 0.324 (0.326) Data 0.000 (0.001) Loss 1.6512 (1.7761) Prec@1 58.594 (59.517) Prec@5 80.469 (81.198) Epoch: [51][7880/10010] Time 0.316 (0.326) Data 0.001 (0.001) Loss 1.7868 (1.7762) Prec@1 60.938 (59.516) Prec@5 81.250 (81.198) Epoch: [51][7890/10010] Time 0.316 (0.326) Data 0.001 (0.001) Loss 2.3302 (1.7764) Prec@1 42.969 (59.512) Prec@5 75.781 (81.195) Epoch: [51][7900/10010] Time 0.328 (0.326) Data 0.001 (0.001) Loss 1.6536 (1.7764) Prec@1 64.844 (59.513) Prec@5 81.250 (81.196) Epoch: [51][7910/10010] Time 0.318 (0.326) Data 0.001 (0.001) Loss 1.8777 (1.7764) Prec@1 60.938 (59.513) Prec@5 77.344 (81.193) Epoch: [51][7920/10010] Time 0.338 (0.326) Data 0.000 (0.001) Loss 1.5380 (1.7764) Prec@1 66.406 (59.513) Prec@5 84.375 (81.194) Epoch: [51][7930/10010] Time 0.315 (0.326) Data 0.001 (0.001) Loss 1.7206 (1.7762) Prec@1 53.906 (59.516) Prec@5 82.031 (81.198) Epoch: [51][7940/10010] Time 0.320 (0.326) Data 0.000 (0.001) Loss 2.1679 (1.7763) Prec@1 50.781 (59.514) Prec@5 77.344 (81.196) Epoch: [51][7950/10010] Time 0.332 (0.326) Data 0.000 (0.001) Loss 1.8966 (1.7763) Prec@1 57.812 (59.514) Prec@5 83.594 (81.196) Epoch: [51][7960/10010] Time 0.321 (0.326) Data 0.001 (0.001) Loss 2.0511 (1.7764) Prec@1 57.812 (59.512) Prec@5 75.000 (81.194) Epoch: [51][7970/10010] Time 0.335 (0.326) Data 0.001 (0.001) Loss 1.8256 (1.7764) Prec@1 53.125 (59.514) Prec@5 79.688 (81.194) Epoch: [51][7980/10010] Time 0.334 (0.326) Data 0.001 (0.001) Loss 1.6639 (1.7764) Prec@1 65.625 (59.516) Prec@5 80.469 (81.193) Epoch: [51][7990/10010] Time 0.313 (0.326) Data 0.001 (0.001) Loss 1.7477 (1.7764) Prec@1 55.469 (59.517) Prec@5 80.469 (81.194) Epoch: [51][8000/10010] Time 0.338 (0.326) Data 0.001 (0.001) Loss 1.7036 (1.7763) Prec@1 59.375 (59.517) Prec@5 84.375 (81.194) Epoch: [51][8010/10010] Time 0.319 (0.326) Data 0.001 (0.001) Loss 1.7508 (1.7763) Prec@1 59.375 (59.517) Prec@5 78.906 (81.194) Epoch: [51][8020/10010] Time 0.342 (0.326) Data 0.001 (0.001) Loss 1.7554 (1.7764) Prec@1 60.938 (59.516) Prec@5 78.906 (81.191) Epoch: [51][8030/10010] Time 0.331 (0.326) Data 0.000 (0.001) Loss 2.0151 (1.7765) Prec@1 50.781 (59.515) Prec@5 78.906 (81.190) Epoch: [51][8040/10010] Time 0.325 (0.326) Data 0.001 (0.001) Loss 1.6571 (1.7766) Prec@1 63.281 (59.513) Prec@5 82.031 (81.189) Epoch: [51][8050/10010] Time 0.321 (0.326) Data 0.001 (0.001) Loss 1.7917 (1.7766) Prec@1 60.938 (59.514) Prec@5 78.906 (81.191) Epoch: [51][8060/10010] Time 0.333 (0.326) Data 0.001 (0.001) Loss 1.6811 (1.7765) Prec@1 60.938 (59.513) Prec@5 83.594 (81.192) Epoch: [51][8070/10010] Time 0.338 (0.326) Data 0.000 (0.001) Loss 1.7412 (1.7766) Prec@1 57.812 (59.511) Prec@5 82.031 (81.189) Epoch: [51][8080/10010] Time 0.341 (0.326) Data 0.001 (0.001) Loss 2.1347 (1.7768) Prec@1 52.344 (59.506) Prec@5 73.438 (81.187) Epoch: [51][8090/10010] Time 0.312 (0.326) Data 0.001 (0.001) Loss 1.9622 (1.7768) Prec@1 52.344 (59.506) Prec@5 76.562 (81.186) Epoch: [51][8100/10010] Time 0.317 (0.326) Data 0.001 (0.001) Loss 1.6191 (1.7770) Prec@1 61.719 (59.503) Prec@5 83.594 (81.183) Epoch: [51][8110/10010] Time 0.334 (0.326) Data 0.001 (0.001) Loss 1.9952 (1.7771) Prec@1 50.000 (59.503) Prec@5 79.688 (81.182) Epoch: [51][8120/10010] Time 0.324 (0.326) Data 0.001 (0.001) Loss 1.6886 (1.7770) Prec@1 53.125 (59.505) Prec@5 83.594 (81.183) Epoch: [51][8130/10010] Time 0.330 (0.326) Data 0.001 (0.001) Loss 1.7597 (1.7771) Prec@1 57.031 (59.504) Prec@5 85.156 (81.181) Epoch: [51][8140/10010] Time 0.338 (0.326) Data 0.001 (0.001) Loss 1.6115 (1.7770) Prec@1 60.938 (59.505) Prec@5 84.375 (81.182) Epoch: [51][8150/10010] Time 0.319 (0.326) Data 0.000 (0.001) Loss 1.6894 (1.7770) Prec@1 59.375 (59.505) Prec@5 84.375 (81.182) Epoch: [51][8160/10010] Time 0.333 (0.326) Data 0.001 (0.001) Loss 1.8975 (1.7770) Prec@1 53.906 (59.506) Prec@5 78.906 (81.183) Epoch: [51][8170/10010] Time 0.329 (0.326) Data 0.000 (0.001) Loss 1.7777 (1.7769) Prec@1 62.500 (59.505) Prec@5 78.906 (81.183) Epoch: [51][8180/10010] Time 0.329 (0.326) Data 0.001 (0.001) Loss 2.0755 (1.7770) Prec@1 57.031 (59.506) Prec@5 74.219 (81.182) Epoch: [51][8190/10010] Time 0.317 (0.326) Data 0.001 (0.001) Loss 2.0366 (1.7771) Prec@1 51.562 (59.503) Prec@5 76.562 (81.179) Epoch: [51][8200/10010] Time 0.320 (0.326) Data 0.000 (0.001) Loss 2.1091 (1.7772) Prec@1 49.219 (59.501) Prec@5 75.781 (81.178) Epoch: [51][8210/10010] Time 0.319 (0.326) Data 0.001 (0.001) Loss 1.8402 (1.7771) Prec@1 55.469 (59.502) Prec@5 85.938 (81.180) Epoch: [51][8220/10010] Time 0.332 (0.326) Data 0.001 (0.001) Loss 1.8292 (1.7771) Prec@1 60.938 (59.503) Prec@5 78.125 (81.181) Epoch: [51][8230/10010] Time 0.332 (0.326) Data 0.000 (0.001) Loss 1.5912 (1.7770) Prec@1 63.281 (59.506) Prec@5 84.375 (81.182) Epoch: [51][8240/10010] Time 0.321 (0.326) Data 0.000 (0.001) Loss 1.9829 (1.7771) Prec@1 54.688 (59.504) Prec@5 79.688 (81.181) Epoch: [51][8250/10010] Time 0.320 (0.326) Data 0.001 (0.001) Loss 2.0040 (1.7772) Prec@1 56.250 (59.501) Prec@5 77.344 (81.181) Epoch: [51][8260/10010] Time 0.324 (0.326) Data 0.001 (0.001) Loss 1.9997 (1.7772) Prec@1 53.906 (59.502) Prec@5 80.469 (81.180) Epoch: [51][8270/10010] Time 0.314 (0.326) Data 0.000 (0.001) Loss 1.7215 (1.7772) Prec@1 64.844 (59.502) Prec@5 82.812 (81.180) Epoch: [51][8280/10010] Time 0.318 (0.326) Data 0.001 (0.001) Loss 1.8484 (1.7772) Prec@1 58.594 (59.504) Prec@5 82.031 (81.181) Epoch: [51][8290/10010] Time 0.305 (0.326) Data 0.001 (0.001) Loss 2.0418 (1.7772) Prec@1 52.344 (59.500) Prec@5 77.344 (81.180) Epoch: [51][8300/10010] Time 0.334 (0.326) Data 0.001 (0.001) Loss 1.9460 (1.7773) Prec@1 57.031 (59.499) Prec@5 81.250 (81.179) Epoch: [51][8310/10010] Time 0.341 (0.326) Data 0.000 (0.001) Loss 1.7590 (1.7774) Prec@1 58.594 (59.497) Prec@5 81.250 (81.177) Epoch: [51][8320/10010] Time 0.316 (0.326) Data 0.001 (0.001) Loss 2.2531 (1.7775) Prec@1 59.375 (59.498) Prec@5 74.219 (81.177) Epoch: [51][8330/10010] Time 0.321 (0.326) Data 0.000 (0.001) Loss 1.8275 (1.7775) Prec@1 59.375 (59.499) Prec@5 79.688 (81.176) Epoch: [51][8340/10010] Time 0.322 (0.326) Data 0.001 (0.001) Loss 1.4022 (1.7775) Prec@1 64.844 (59.499) Prec@5 89.844 (81.176) Epoch: [51][8350/10010] Time 0.329 (0.326) Data 0.001 (0.001) Loss 2.0681 (1.7774) Prec@1 56.250 (59.501) Prec@5 77.344 (81.177) Epoch: [51][8360/10010] Time 0.324 (0.326) Data 0.001 (0.001) Loss 1.6098 (1.7774) Prec@1 67.969 (59.502) Prec@5 83.594 (81.177) Epoch: [51][8370/10010] Time 0.325 (0.326) Data 0.001 (0.001) Loss 1.7106 (1.7773) Prec@1 57.812 (59.502) Prec@5 80.469 (81.179) Epoch: [51][8380/10010] Time 0.337 (0.326) Data 0.001 (0.001) Loss 1.6902 (1.7774) Prec@1 64.062 (59.501) Prec@5 85.156 (81.178) Epoch: [51][8390/10010] Time 0.315 (0.326) Data 0.001 (0.001) Loss 1.6457 (1.7773) Prec@1 65.625 (59.502) Prec@5 84.375 (81.180) Epoch: [51][8400/10010] Time 0.319 (0.326) Data 0.001 (0.001) Loss 1.9461 (1.7774) Prec@1 54.688 (59.500) Prec@5 75.781 (81.178) Epoch: [51][8410/10010] Time 0.311 (0.326) Data 0.001 (0.001) Loss 1.5593 (1.7774) Prec@1 65.625 (59.502) Prec@5 84.375 (81.177) Epoch: [51][8420/10010] Time 0.333 (0.326) Data 0.001 (0.001) Loss 1.8905 (1.7775) Prec@1 54.688 (59.499) Prec@5 78.125 (81.176) Epoch: [51][8430/10010] Time 0.316 (0.326) Data 0.001 (0.001) Loss 1.7884 (1.7775) Prec@1 58.594 (59.500) Prec@5 82.031 (81.177) Epoch: [51][8440/10010] Time 0.316 (0.326) Data 0.000 (0.001) Loss 1.6739 (1.7775) Prec@1 59.375 (59.499) Prec@5 85.156 (81.178) Epoch: [51][8450/10010] Time 0.323 (0.326) Data 0.001 (0.001) Loss 1.9883 (1.7774) Prec@1 51.562 (59.498) Prec@5 81.250 (81.178) Epoch: [51][8460/10010] Time 0.330 (0.326) Data 0.001 (0.001) Loss 1.6655 (1.7775) Prec@1 65.625 (59.500) Prec@5 82.031 (81.179) Epoch: [51][8470/10010] Time 0.316 (0.326) Data 0.000 (0.001) Loss 1.9159 (1.7775) Prec@1 58.594 (59.500) Prec@5 81.250 (81.179) Epoch: [51][8480/10010] Time 0.337 (0.326) Data 0.000 (0.001) Loss 2.0801 (1.7775) Prec@1 57.812 (59.500) Prec@5 78.125 (81.180) Epoch: [51][8490/10010] Time 0.321 (0.326) Data 0.000 (0.001) Loss 1.5511 (1.7775) Prec@1 59.375 (59.499) Prec@5 88.281 (81.181) Epoch: [51][8500/10010] Time 0.327 (0.326) Data 0.001 (0.001) Loss 1.7589 (1.7776) Prec@1 60.156 (59.497) Prec@5 82.812 (81.181) Epoch: [51][8510/10010] Time 0.334 (0.326) Data 0.000 (0.001) Loss 1.6398 (1.7776) Prec@1 64.062 (59.496) Prec@5 87.500 (81.181) Epoch: [51][8520/10010] Time 0.326 (0.326) Data 0.001 (0.001) Loss 1.7775 (1.7776) Prec@1 59.375 (59.495) Prec@5 80.469 (81.182) Epoch: [51][8530/10010] Time 0.332 (0.326) Data 0.000 (0.001) Loss 1.9356 (1.7777) Prec@1 57.031 (59.493) Prec@5 78.906 (81.180) Epoch: [51][8540/10010] Time 0.331 (0.326) Data 0.000 (0.001) Loss 1.7430 (1.7778) Prec@1 66.406 (59.491) Prec@5 80.469 (81.178) Epoch: [51][8550/10010] Time 0.313 (0.326) Data 0.001 (0.001) Loss 1.9425 (1.7779) Prec@1 57.031 (59.488) Prec@5 80.469 (81.177) Epoch: [51][8560/10010] Time 0.328 (0.326) Data 0.001 (0.001) Loss 1.9781 (1.7779) Prec@1 51.562 (59.488) Prec@5 76.562 (81.176) Epoch: [51][8570/10010] Time 0.335 (0.326) Data 0.000 (0.001) Loss 1.6985 (1.7779) Prec@1 64.844 (59.488) Prec@5 78.906 (81.176) Epoch: [51][8580/10010] Time 0.314 (0.326) Data 0.001 (0.001) Loss 1.7616 (1.7780) Prec@1 57.812 (59.488) Prec@5 80.469 (81.174) Epoch: [51][8590/10010] Time 0.323 (0.326) Data 0.001 (0.001) Loss 1.5390 (1.7780) Prec@1 64.062 (59.487) Prec@5 85.156 (81.175) Epoch: [51][8600/10010] Time 0.333 (0.326) Data 0.001 (0.001) Loss 1.6710 (1.7779) Prec@1 61.719 (59.487) Prec@5 79.688 (81.176) Epoch: [51][8610/10010] Time 0.325 (0.326) Data 0.001 (0.001) Loss 1.8195 (1.7779) Prec@1 57.031 (59.489) Prec@5 78.906 (81.176) Epoch: [51][8620/10010] Time 0.329 (0.326) Data 0.001 (0.001) Loss 1.9356 (1.7780) Prec@1 53.125 (59.485) Prec@5 76.562 (81.173) Epoch: [51][8630/10010] Time 0.334 (0.326) Data 0.001 (0.001) Loss 2.0921 (1.7780) Prec@1 57.031 (59.486) Prec@5 74.219 (81.172) Epoch: [51][8640/10010] Time 0.318 (0.326) Data 0.000 (0.001) Loss 1.9871 (1.7781) Prec@1 52.344 (59.483) Prec@5 82.031 (81.173) Epoch: [51][8650/10010] Time 0.337 (0.326) Data 0.000 (0.001) Loss 1.8806 (1.7781) Prec@1 55.469 (59.483) Prec@5 77.344 (81.172) Epoch: [51][8660/10010] Time 0.339 (0.326) Data 0.001 (0.001) Loss 1.6077 (1.7781) Prec@1 64.062 (59.483) Prec@5 82.812 (81.173) Epoch: [51][8670/10010] Time 0.315 (0.326) Data 0.001 (0.001) Loss 1.4887 (1.7781) Prec@1 63.281 (59.483) Prec@5 87.500 (81.173) Epoch: [51][8680/10010] Time 0.323 (0.326) Data 0.000 (0.001) Loss 1.4149 (1.7781) Prec@1 64.062 (59.483) Prec@5 85.938 (81.171) Epoch: [51][8690/10010] Time 0.326 (0.326) Data 0.001 (0.001) Loss 1.7542 (1.7781) Prec@1 55.469 (59.483) Prec@5 78.906 (81.170) Epoch: [51][8700/10010] Time 0.313 (0.326) Data 0.001 (0.001) Loss 1.8231 (1.7782) Prec@1 53.125 (59.481) Prec@5 78.125 (81.169) Epoch: [51][8710/10010] Time 0.343 (0.326) Data 0.001 (0.001) Loss 1.5301 (1.7781) Prec@1 61.719 (59.484) Prec@5 82.812 (81.171) Epoch: [51][8720/10010] Time 0.313 (0.326) Data 0.001 (0.001) Loss 1.5242 (1.7779) Prec@1 64.062 (59.488) Prec@5 84.375 (81.174) Epoch: [51][8730/10010] Time 0.335 (0.326) Data 0.001 (0.001) Loss 1.7876 (1.7779) Prec@1 63.281 (59.489) Prec@5 82.812 (81.174) Epoch: [51][8740/10010] Time 0.324 (0.326) Data 0.000 (0.001) Loss 1.7697 (1.7779) Prec@1 61.719 (59.488) Prec@5 81.250 (81.174) Epoch: [51][8750/10010] Time 0.322 (0.326) Data 0.001 (0.001) Loss 2.1330 (1.7781) Prec@1 55.469 (59.485) Prec@5 77.344 (81.172) Epoch: [51][8760/10010] Time 0.320 (0.326) Data 0.000 (0.001) Loss 2.2011 (1.7780) Prec@1 50.000 (59.486) Prec@5 78.125 (81.172) Epoch: [51][8770/10010] Time 0.325 (0.326) Data 0.001 (0.001) Loss 1.8365 (1.7781) Prec@1 60.938 (59.484) Prec@5 82.031 (81.172) Epoch: [51][8780/10010] Time 0.322 (0.326) Data 0.001 (0.001) Loss 1.8075 (1.7780) Prec@1 57.031 (59.487) Prec@5 83.594 (81.172) Epoch: [51][8790/10010] Time 0.331 (0.326) Data 0.000 (0.001) Loss 1.7645 (1.7780) Prec@1 62.500 (59.489) Prec@5 78.906 (81.173) Epoch: [51][8800/10010] Time 0.317 (0.326) Data 0.001 (0.001) Loss 1.8588 (1.7781) Prec@1 57.812 (59.485) Prec@5 78.906 (81.172) Epoch: [51][8810/10010] Time 0.320 (0.326) Data 0.001 (0.001) Loss 1.9210 (1.7782) Prec@1 55.469 (59.484) Prec@5 82.031 (81.171) Epoch: [51][8820/10010] Time 0.342 (0.326) Data 0.000 (0.001) Loss 1.7252 (1.7782) Prec@1 59.375 (59.485) Prec@5 82.031 (81.171) Epoch: [51][8830/10010] Time 0.315 (0.326) Data 0.001 (0.001) Loss 1.4263 (1.7782) Prec@1 67.188 (59.485) Prec@5 85.938 (81.171) Epoch: [51][8840/10010] Time 0.319 (0.326) Data 0.000 (0.001) Loss 1.6118 (1.7781) Prec@1 64.062 (59.487) Prec@5 82.031 (81.172) Epoch: [51][8850/10010] Time 0.343 (0.326) Data 0.001 (0.001) Loss 1.7058 (1.7781) Prec@1 63.281 (59.487) Prec@5 78.125 (81.172) Epoch: [51][8860/10010] Time 0.330 (0.326) Data 0.001 (0.001) Loss 1.7624 (1.7781) Prec@1 58.594 (59.489) Prec@5 84.375 (81.172) Epoch: [51][8870/10010] Time 0.331 (0.326) Data 0.001 (0.001) Loss 2.1068 (1.7782) Prec@1 56.250 (59.489) Prec@5 76.562 (81.171) Epoch: [51][8880/10010] Time 0.333 (0.326) Data 0.000 (0.001) Loss 1.5875 (1.7781) Prec@1 61.719 (59.489) Prec@5 84.375 (81.172) Epoch: [51][8890/10010] Time 0.339 (0.326) Data 0.000 (0.001) Loss 1.9676 (1.7781) Prec@1 53.906 (59.490) Prec@5 77.344 (81.171) Epoch: [51][8900/10010] Time 0.343 (0.326) Data 0.001 (0.001) Loss 1.5912 (1.7782) Prec@1 66.406 (59.490) Prec@5 82.812 (81.169) Epoch: [51][8910/10010] Time 0.332 (0.326) Data 0.001 (0.001) Loss 1.8526 (1.7783) Prec@1 61.719 (59.486) Prec@5 82.031 (81.167) Epoch: [51][8920/10010] Time 0.325 (0.326) Data 0.001 (0.001) Loss 1.7259 (1.7783) Prec@1 58.594 (59.487) Prec@5 81.250 (81.167) Epoch: [51][8930/10010] Time 0.316 (0.326) Data 0.001 (0.001) Loss 1.9616 (1.7785) Prec@1 57.031 (59.483) Prec@5 78.125 (81.163) Epoch: [51][8940/10010] Time 0.311 (0.326) Data 0.001 (0.001) Loss 1.7299 (1.7784) Prec@1 57.031 (59.484) Prec@5 79.688 (81.163) Epoch: [51][8950/10010] Time 0.329 (0.326) Data 0.001 (0.001) Loss 2.0710 (1.7784) Prec@1 55.469 (59.486) Prec@5 80.469 (81.163) Epoch: [51][8960/10010] Time 0.334 (0.326) Data 0.001 (0.001) Loss 1.7042 (1.7785) Prec@1 60.156 (59.484) Prec@5 81.250 (81.162) Epoch: [51][8970/10010] Time 0.329 (0.326) Data 0.001 (0.001) Loss 1.6442 (1.7786) Prec@1 60.938 (59.483) Prec@5 82.812 (81.160) Epoch: [51][8980/10010] Time 0.328 (0.326) Data 0.000 (0.001) Loss 1.6701 (1.7786) Prec@1 59.375 (59.485) Prec@5 83.594 (81.161) Epoch: [51][8990/10010] Time 0.338 (0.326) Data 0.001 (0.001) Loss 1.4841 (1.7785) Prec@1 65.625 (59.486) Prec@5 85.938 (81.162) Epoch: [51][9000/10010] Time 0.313 (0.326) Data 0.000 (0.001) Loss 1.9347 (1.7786) Prec@1 55.469 (59.482) Prec@5 78.906 (81.160) Epoch: [51][9010/10010] Time 0.333 (0.326) Data 0.000 (0.001) Loss 2.2453 (1.7787) Prec@1 53.906 (59.481) Prec@5 72.656 (81.158) Epoch: [51][9020/10010] Time 0.324 (0.326) Data 0.001 (0.001) Loss 2.0471 (1.7787) Prec@1 55.469 (59.480) Prec@5 80.469 (81.158) Epoch: [51][9030/10010] Time 0.340 (0.326) Data 0.001 (0.001) Loss 1.9950 (1.7788) Prec@1 54.688 (59.479) Prec@5 75.781 (81.156) Epoch: [51][9040/10010] Time 0.332 (0.326) Data 0.001 (0.001) Loss 1.9532 (1.7789) Prec@1 54.688 (59.477) Prec@5 80.469 (81.155) Epoch: [51][9050/10010] Time 0.333 (0.326) Data 0.000 (0.001) Loss 1.8970 (1.7788) Prec@1 54.688 (59.478) Prec@5 85.156 (81.158) Epoch: [51][9060/10010] Time 0.335 (0.326) Data 0.001 (0.001) Loss 1.5731 (1.7789) Prec@1 63.281 (59.475) Prec@5 85.156 (81.157) Epoch: [51][9070/10010] Time 0.323 (0.326) Data 0.001 (0.001) Loss 1.7891 (1.7790) Prec@1 62.500 (59.476) Prec@5 78.125 (81.157) Epoch: [51][9080/10010] Time 0.340 (0.326) Data 0.000 (0.001) Loss 1.9615 (1.7791) Prec@1 58.594 (59.474) Prec@5 75.000 (81.156) Epoch: [51][9090/10010] Time 0.319 (0.326) Data 0.001 (0.001) Loss 1.7592 (1.7791) Prec@1 63.281 (59.476) Prec@5 79.688 (81.156) Epoch: [51][9100/10010] Time 0.338 (0.326) Data 0.001 (0.001) Loss 1.6630 (1.7790) Prec@1 62.500 (59.477) Prec@5 82.031 (81.157) Epoch: [51][9110/10010] Time 0.320 (0.326) Data 0.001 (0.001) Loss 1.8128 (1.7790) Prec@1 57.031 (59.477) Prec@5 82.812 (81.156) Epoch: [51][9120/10010] Time 0.320 (0.326) Data 0.001 (0.001) Loss 1.7541 (1.7791) Prec@1 64.062 (59.475) Prec@5 79.688 (81.153) Epoch: [51][9130/10010] Time 0.341 (0.326) Data 0.001 (0.001) Loss 1.6708 (1.7790) Prec@1 62.500 (59.478) Prec@5 85.938 (81.155) Epoch: [51][9140/10010] Time 0.322 (0.326) Data 0.000 (0.001) Loss 1.7763 (1.7789) Prec@1 60.938 (59.479) Prec@5 78.906 (81.156) Epoch: [51][9150/10010] Time 0.321 (0.326) Data 0.001 (0.001) Loss 2.0324 (1.7790) Prec@1 54.688 (59.480) Prec@5 73.438 (81.155) Epoch: [51][9160/10010] Time 0.316 (0.326) Data 0.001 (0.001) Loss 1.6782 (1.7790) Prec@1 63.281 (59.479) Prec@5 82.812 (81.155) Epoch: [51][9170/10010] Time 0.314 (0.326) Data 0.001 (0.001) Loss 1.6885 (1.7789) Prec@1 60.156 (59.482) Prec@5 85.156 (81.156) Epoch: [51][9180/10010] Time 0.339 (0.326) Data 0.001 (0.001) Loss 1.6030 (1.7789) Prec@1 61.719 (59.480) Prec@5 81.250 (81.156) Epoch: [51][9190/10010] Time 0.319 (0.326) Data 0.001 (0.001) Loss 1.6625 (1.7790) Prec@1 63.281 (59.480) Prec@5 80.469 (81.155) Epoch: [51][9200/10010] Time 0.324 (0.326) Data 0.001 (0.001) Loss 1.5787 (1.7791) Prec@1 64.062 (59.479) Prec@5 85.938 (81.153) Epoch: [51][9210/10010] Time 0.319 (0.326) Data 0.001 (0.001) Loss 2.0078 (1.7790) Prec@1 51.562 (59.480) Prec@5 79.688 (81.155) Epoch: [51][9220/10010] Time 0.331 (0.326) Data 0.001 (0.001) Loss 1.7857 (1.7789) Prec@1 58.594 (59.481) Prec@5 83.594 (81.157) Epoch: [51][9230/10010] Time 0.331 (0.326) Data 0.001 (0.001) Loss 1.7477 (1.7789) Prec@1 57.031 (59.481) Prec@5 81.250 (81.156) Epoch: [51][9240/10010] Time 0.338 (0.326) Data 0.001 (0.001) Loss 1.7677 (1.7789) Prec@1 63.281 (59.483) Prec@5 83.594 (81.157) Epoch: [51][9250/10010] Time 0.312 (0.326) Data 0.001 (0.001) Loss 1.8253 (1.7789) Prec@1 63.281 (59.483) Prec@5 79.688 (81.156) Epoch: [51][9260/10010] Time 0.316 (0.326) Data 0.001 (0.001) Loss 1.7167 (1.7789) Prec@1 61.719 (59.484) Prec@5 79.688 (81.157) Epoch: [51][9270/10010] Time 0.320 (0.326) Data 0.001 (0.001) Loss 1.7106 (1.7788) Prec@1 60.156 (59.484) Prec@5 82.031 (81.159) Epoch: [51][9280/10010] Time 0.322 (0.326) Data 0.001 (0.001) Loss 1.6579 (1.7788) Prec@1 64.844 (59.486) Prec@5 85.156 (81.160) Epoch: [51][9290/10010] Time 0.331 (0.326) Data 0.001 (0.001) Loss 1.9432 (1.7788) Prec@1 58.594 (59.486) Prec@5 80.469 (81.160) Epoch: [51][9300/10010] Time 0.337 (0.326) Data 0.000 (0.001) Loss 1.7104 (1.7789) Prec@1 60.938 (59.485) Prec@5 81.250 (81.159) Epoch: [51][9310/10010] Time 0.317 (0.326) Data 0.000 (0.001) Loss 1.5872 (1.7788) Prec@1 63.281 (59.486) Prec@5 85.938 (81.161) Epoch: [51][9320/10010] Time 0.323 (0.326) Data 0.001 (0.001) Loss 1.6353 (1.7789) Prec@1 64.844 (59.485) Prec@5 85.156 (81.160) Epoch: [51][9330/10010] Time 0.326 (0.326) Data 0.001 (0.001) Loss 1.6387 (1.7789) Prec@1 64.062 (59.486) Prec@5 82.812 (81.161) Epoch: [51][9340/10010] Time 0.330 (0.326) Data 0.001 (0.001) Loss 2.1995 (1.7790) Prec@1 55.469 (59.485) Prec@5 74.219 (81.159) Epoch: [51][9350/10010] Time 0.318 (0.326) Data 0.001 (0.001) Loss 1.8832 (1.7791) Prec@1 60.156 (59.483) Prec@5 75.781 (81.156) Epoch: [51][9360/10010] Time 0.330 (0.326) Data 0.001 (0.001) Loss 1.6484 (1.7791) Prec@1 60.938 (59.484) Prec@5 85.938 (81.157) Epoch: [51][9370/10010] Time 0.325 (0.326) Data 0.001 (0.001) Loss 1.6383 (1.7791) Prec@1 59.375 (59.480) Prec@5 82.031 (81.155) Epoch: [51][9380/10010] Time 0.319 (0.326) Data 0.001 (0.001) Loss 1.6550 (1.7792) Prec@1 57.812 (59.479) Prec@5 85.156 (81.154) Epoch: [51][9390/10010] Time 0.327 (0.326) Data 0.001 (0.001) Loss 1.7996 (1.7792) Prec@1 60.156 (59.480) Prec@5 81.250 (81.153) Epoch: [51][9400/10010] Time 0.321 (0.326) Data 0.000 (0.001) Loss 2.0906 (1.7793) Prec@1 49.219 (59.478) Prec@5 77.344 (81.151) Epoch: [51][9410/10010] Time 0.322 (0.326) Data 0.001 (0.001) Loss 1.8438 (1.7793) Prec@1 50.000 (59.475) Prec@5 82.812 (81.151) Epoch: [51][9420/10010] Time 0.317 (0.326) Data 0.001 (0.001) Loss 1.5598 (1.7794) Prec@1 60.156 (59.474) Prec@5 85.938 (81.151) Epoch: [51][9430/10010] Time 0.321 (0.326) Data 0.001 (0.001) Loss 1.7530 (1.7793) Prec@1 56.250 (59.475) Prec@5 78.906 (81.151) Epoch: [51][9440/10010] Time 0.317 (0.326) Data 0.001 (0.001) Loss 2.0061 (1.7794) Prec@1 51.562 (59.473) Prec@5 75.781 (81.151) Epoch: [51][9450/10010] Time 0.321 (0.326) Data 0.001 (0.001) Loss 2.0993 (1.7794) Prec@1 50.000 (59.475) Prec@5 78.125 (81.150) Epoch: [51][9460/10010] Time 0.331 (0.326) Data 0.000 (0.001) Loss 1.5484 (1.7793) Prec@1 63.281 (59.476) Prec@5 85.938 (81.152) Epoch: [51][9470/10010] Time 0.333 (0.326) Data 0.001 (0.001) Loss 1.4436 (1.7793) Prec@1 65.625 (59.476) Prec@5 85.938 (81.152) Epoch: [51][9480/10010] Time 0.322 (0.326) Data 0.000 (0.001) Loss 1.6737 (1.7793) Prec@1 63.281 (59.476) Prec@5 82.812 (81.154) Epoch: [51][9490/10010] Time 0.325 (0.326) Data 0.001 (0.001) Loss 2.0470 (1.7793) Prec@1 52.344 (59.476) Prec@5 75.000 (81.152) Epoch: [51][9500/10010] Time 0.323 (0.326) Data 0.001 (0.001) Loss 1.7823 (1.7793) Prec@1 59.375 (59.474) Prec@5 81.250 (81.151) Epoch: [51][9510/10010] Time 0.312 (0.326) Data 0.000 (0.001) Loss 1.6094 (1.7793) Prec@1 63.281 (59.476) Prec@5 82.812 (81.151) Epoch: [51][9520/10010] Time 0.341 (0.326) Data 0.000 (0.001) Loss 1.7760 (1.7793) Prec@1 64.844 (59.476) Prec@5 79.688 (81.149) Epoch: [51][9530/10010] Time 0.314 (0.326) Data 0.001 (0.001) Loss 1.7344 (1.7793) Prec@1 60.938 (59.475) Prec@5 80.469 (81.149) Epoch: [51][9540/10010] Time 0.326 (0.326) Data 0.001 (0.001) Loss 1.7881 (1.7794) Prec@1 60.938 (59.475) Prec@5 78.906 (81.149) Epoch: [51][9550/10010] Time 0.336 (0.326) Data 0.001 (0.001) Loss 1.9202 (1.7793) Prec@1 61.719 (59.478) Prec@5 82.031 (81.149) Epoch: [51][9560/10010] Time 0.337 (0.326) Data 0.001 (0.001) Loss 1.8924 (1.7794) Prec@1 53.906 (59.476) Prec@5 77.344 (81.148) Epoch: [51][9570/10010] Time 0.321 (0.326) Data 0.001 (0.001) Loss 1.6814 (1.7794) Prec@1 62.500 (59.476) Prec@5 82.031 (81.149) Epoch: [51][9580/10010] Time 0.315 (0.326) Data 0.001 (0.001) Loss 1.5995 (1.7795) Prec@1 61.719 (59.474) Prec@5 80.469 (81.148) Epoch: [51][9590/10010] Time 0.315 (0.326) Data 0.001 (0.001) Loss 1.5192 (1.7796) Prec@1 71.094 (59.474) Prec@5 85.156 (81.147) Epoch: [51][9600/10010] Time 0.337 (0.326) Data 0.001 (0.001) Loss 1.7388 (1.7797) Prec@1 58.594 (59.472) Prec@5 78.125 (81.144) Epoch: [51][9610/10010] Time 0.336 (0.326) Data 0.001 (0.001) Loss 1.9101 (1.7796) Prec@1 60.156 (59.472) Prec@5 80.469 (81.144) Epoch: [51][9620/10010] Time 0.313 (0.326) Data 0.000 (0.001) Loss 1.6440 (1.7796) Prec@1 60.156 (59.471) Prec@5 85.938 (81.144) Epoch: [51][9630/10010] Time 0.327 (0.326) Data 0.001 (0.001) Loss 1.7968 (1.7797) Prec@1 56.250 (59.470) Prec@5 78.125 (81.142) Epoch: [51][9640/10010] Time 0.340 (0.326) Data 0.000 (0.001) Loss 1.6995 (1.7798) Prec@1 54.688 (59.469) Prec@5 80.469 (81.141) Epoch: [51][9650/10010] Time 0.343 (0.326) Data 0.001 (0.001) Loss 1.7061 (1.7798) Prec@1 57.812 (59.467) Prec@5 82.812 (81.141) Epoch: [51][9660/10010] Time 0.341 (0.326) Data 0.000 (0.001) Loss 1.4825 (1.7798) Prec@1 68.750 (59.467) Prec@5 86.719 (81.142) Epoch: [51][9670/10010] Time 0.323 (0.326) Data 0.001 (0.001) Loss 2.0994 (1.7799) Prec@1 51.562 (59.465) Prec@5 78.906 (81.141) Epoch: [51][9680/10010] Time 0.320 (0.326) Data 0.000 (0.001) Loss 1.7612 (1.7800) Prec@1 57.031 (59.464) Prec@5 79.688 (81.139) Epoch: [51][9690/10010] Time 0.323 (0.326) Data 0.001 (0.001) Loss 2.4193 (1.7801) Prec@1 44.531 (59.460) Prec@5 70.312 (81.137) Epoch: [51][9700/10010] Time 0.322 (0.326) Data 0.003 (0.001) Loss 1.7991 (1.7801) Prec@1 58.594 (59.461) Prec@5 81.250 (81.137) Epoch: [51][9710/10010] Time 0.330 (0.326) Data 0.001 (0.001) Loss 1.7340 (1.7802) Prec@1 64.062 (59.460) Prec@5 78.125 (81.135) Epoch: [51][9720/10010] Time 0.319 (0.326) Data 0.000 (0.001) Loss 1.9283 (1.7802) Prec@1 64.062 (59.461) Prec@5 78.125 (81.134) Epoch: [51][9730/10010] Time 0.342 (0.326) Data 0.000 (0.001) Loss 1.8583 (1.7802) Prec@1 55.469 (59.460) Prec@5 81.250 (81.134) Epoch: [51][9740/10010] Time 0.317 (0.326) Data 0.001 (0.001) Loss 1.5633 (1.7803) Prec@1 60.938 (59.458) Prec@5 83.594 (81.134) Epoch: [51][9750/10010] Time 0.315 (0.326) Data 0.001 (0.001) Loss 1.5858 (1.7802) Prec@1 62.500 (59.459) Prec@5 85.156 (81.134) Epoch: [51][9760/10010] Time 0.320 (0.326) Data 0.001 (0.001) Loss 1.6647 (1.7802) Prec@1 60.156 (59.457) Prec@5 84.375 (81.134) Epoch: [51][9770/10010] Time 0.332 (0.326) Data 0.000 (0.001) Loss 1.6793 (1.7803) Prec@1 62.500 (59.456) Prec@5 86.719 (81.134) Epoch: [51][9780/10010] Time 0.318 (0.326) Data 0.001 (0.001) Loss 1.7002 (1.7803) Prec@1 56.250 (59.456) Prec@5 79.688 (81.134) Epoch: [51][9790/10010] Time 0.320 (0.326) Data 0.001 (0.001) Loss 1.7409 (1.7804) Prec@1 57.812 (59.452) Prec@5 79.688 (81.134) Epoch: [51][9800/10010] Time 0.324 (0.326) Data 0.001 (0.001) Loss 1.8257 (1.7805) Prec@1 57.812 (59.451) Prec@5 78.125 (81.132) Epoch: [51][9810/10010] Time 0.338 (0.326) Data 0.001 (0.001) Loss 1.8604 (1.7804) Prec@1 59.375 (59.453) Prec@5 81.250 (81.133) Epoch: [51][9820/10010] Time 0.340 (0.326) Data 0.001 (0.001) Loss 1.8000 (1.7804) Prec@1 55.469 (59.453) Prec@5 82.031 (81.133) Epoch: [51][9830/10010] Time 0.331 (0.326) Data 0.001 (0.001) Loss 1.5989 (1.7804) Prec@1 63.281 (59.453) Prec@5 84.375 (81.131) Epoch: [51][9840/10010] Time 0.335 (0.326) Data 0.001 (0.001) Loss 1.8748 (1.7805) Prec@1 60.156 (59.451) Prec@5 77.344 (81.130) Epoch: [51][9850/10010] Time 0.342 (0.326) Data 0.001 (0.001) Loss 1.7980 (1.7805) Prec@1 58.594 (59.452) Prec@5 82.031 (81.131) Epoch: [51][9860/10010] Time 0.319 (0.326) Data 0.001 (0.001) Loss 1.8383 (1.7804) Prec@1 60.156 (59.455) Prec@5 78.906 (81.131) Epoch: [51][9870/10010] Time 0.318 (0.326) Data 0.001 (0.001) Loss 1.5974 (1.7804) Prec@1 57.812 (59.455) Prec@5 82.031 (81.132) Epoch: [51][9880/10010] Time 0.322 (0.326) Data 0.001 (0.001) Loss 1.5442 (1.7804) Prec@1 60.938 (59.455) Prec@5 84.375 (81.132) Epoch: [51][9890/10010] Time 0.331 (0.326) Data 0.001 (0.001) Loss 1.8083 (1.7804) Prec@1 61.719 (59.454) Prec@5 80.469 (81.130) Epoch: [51][9900/10010] Time 0.336 (0.326) Data 0.001 (0.001) Loss 1.6914 (1.7804) Prec@1 60.156 (59.455) Prec@5 82.812 (81.131) Epoch: [51][9910/10010] Time 0.325 (0.326) Data 0.001 (0.001) Loss 1.9278 (1.7804) Prec@1 57.812 (59.456) Prec@5 78.125 (81.131) Epoch: [51][9920/10010] Time 0.319 (0.326) Data 0.001 (0.001) Loss 1.7520 (1.7804) Prec@1 62.500 (59.455) Prec@5 78.906 (81.130) Epoch: [51][9930/10010] Time 0.335 (0.326) Data 0.000 (0.001) Loss 1.8996 (1.7805) Prec@1 54.688 (59.456) Prec@5 76.562 (81.129) Epoch: [51][9940/10010] Time 0.321 (0.326) Data 0.001 (0.001) Loss 2.0997 (1.7806) Prec@1 51.562 (59.453) Prec@5 75.781 (81.127) Epoch: [51][9950/10010] Time 0.325 (0.326) Data 0.001 (0.001) Loss 1.7460 (1.7806) Prec@1 62.500 (59.453) Prec@5 80.469 (81.126) Epoch: [51][9960/10010] Time 0.330 (0.326) Data 0.001 (0.001) Loss 1.7998 (1.7807) Prec@1 55.469 (59.451) Prec@5 81.250 (81.125) Epoch: [51][9970/10010] Time 0.336 (0.326) Data 0.001 (0.001) Loss 2.2428 (1.7807) Prec@1 45.312 (59.451) Prec@5 73.438 (81.125) Epoch: [51][9980/10010] Time 0.319 (0.326) Data 0.001 (0.001) Loss 1.9047 (1.7807) Prec@1 55.469 (59.450) Prec@5 80.469 (81.126) Epoch: [51][9990/10010] Time 0.313 (0.326) Data 0.001 (0.001) Loss 1.9554 (1.7807) Prec@1 57.031 (59.451) Prec@5 75.000 (81.125) Epoch: [51][10000/10010] Time 0.321 (0.326) Data 0.000 (0.001) Loss 2.1296 (1.7807) Prec@1 54.688 (59.450) Prec@5 82.031 (81.125) Test: [0/391] Time 1.369 (1.369) Loss 0.9479 (0.9479) Prec@1 79.688 (79.688) Prec@5 90.625 (90.625) Test: [10/391] Time 0.108 (0.219) Loss 1.2078 (0.8645) Prec@1 70.312 (78.125) Prec@5 89.062 (93.253) Test: [20/391] Time 0.112 (0.166) Loss 1.1323 (1.1536) Prec@1 73.438 (71.466) Prec@5 89.844 (89.844) Test: [30/391] Time 0.106 (0.153) Loss 1.7851 (1.2983) Prec@1 66.406 (67.666) Prec@5 83.594 (88.533) Test: [40/391] Time 0.106 (0.141) Loss 1.3459 (1.1867) Prec@1 67.188 (70.236) Prec@5 88.281 (89.577) Test: [50/391] Time 0.108 (0.135) Loss 0.5315 (1.2305) Prec@1 86.719 (70.037) Prec@5 92.969 (88.848) Test: [60/391] Time 0.118 (0.132) Loss 1.4835 (1.1664) Prec@1 60.938 (71.632) Prec@5 85.938 (89.434) Test: [70/391] Time 0.115 (0.130) Loss 1.3002 (1.2101) Prec@1 64.062 (70.048) Prec@5 94.531 (89.349) Test: [80/391] Time 0.118 (0.129) Loss 1.1162 (1.2235) Prec@1 70.312 (69.097) Prec@5 92.969 (89.477) Test: [90/391] Time 0.110 (0.127) Loss 1.0871 (1.2220) Prec@1 67.188 (68.939) Prec@5 92.188 (89.638) Test: [100/391] Time 0.103 (0.125) Loss 0.7035 (1.1979) Prec@1 85.938 (69.222) Prec@5 96.094 (90.107) Test: [110/391] Time 0.106 (0.123) Loss 1.4104 (1.1963) Prec@1 55.469 (69.151) Prec@5 94.531 (90.259) Test: [120/391] Time 0.107 (0.122) Loss 0.9292 (1.1894) Prec@1 75.000 (69.409) Prec@5 95.312 (90.393) Test: [130/391] Time 0.109 (0.121) Loss 0.6974 (1.1840) Prec@1 83.594 (69.651) Prec@5 94.531 (90.458) Test: [140/391] Time 0.106 (0.120) Loss 1.4452 (1.1784) Prec@1 65.625 (69.770) Prec@5 89.844 (90.542) Test: [150/391] Time 0.104 (0.119) Loss 1.2989 (1.1884) Prec@1 57.031 (69.573) Prec@5 89.844 (90.289) Test: [160/391] Time 0.104 (0.118) Loss 1.5624 (1.2025) Prec@1 57.812 (69.323) Prec@5 85.156 (90.120) Test: [170/391] Time 0.107 (0.118) Loss 2.1590 (1.2392) Prec@1 36.719 (68.549) Prec@5 85.156 (89.679) Test: [180/391] Time 0.104 (0.117) Loss 2.0297 (1.2720) Prec@1 52.344 (67.982) Prec@5 83.594 (89.278) Test: [190/391] Time 0.110 (0.117) Loss 2.6362 (1.3096) Prec@1 37.500 (67.188) Prec@5 78.125 (88.784) Test: [200/391] Time 0.104 (0.116) Loss 1.4645 (1.3420) Prec@1 63.281 (66.562) Prec@5 85.156 (88.305) Test: [210/391] Time 0.109 (0.116) Loss 1.5286 (1.3611) Prec@1 61.719 (66.229) Prec@5 84.375 (88.074) Test: [220/391] Time 0.101 (0.116) Loss 0.9331 (1.3696) Prec@1 75.000 (66.155) Prec@5 92.188 (87.921) Test: [230/391] Time 0.107 (0.115) Loss 2.2481 (1.3839) Prec@1 49.219 (65.953) Prec@5 77.344 (87.740) Test: [240/391] Time 0.110 (0.115) Loss 1.7586 (1.3911) Prec@1 63.281 (65.914) Prec@5 81.250 (87.604) Test: [250/391] Time 0.112 (0.115) Loss 1.2586 (1.4174) Prec@1 70.312 (65.376) Prec@5 85.938 (87.242) Test: [260/391] Time 0.117 (0.114) Loss 1.5246 (1.4340) Prec@1 63.281 (65.056) Prec@5 83.594 (87.018) Test: [270/391] Time 0.102 (0.114) Loss 2.2848 (1.4488) Prec@1 44.531 (64.743) Prec@5 76.562 (86.771) Test: [280/391] Time 0.102 (0.114) Loss 1.4556 (1.4574) Prec@1 60.938 (64.641) Prec@5 89.062 (86.666) Test: [290/391] Time 0.113 (0.114) Loss 1.8857 (1.4714) Prec@1 49.219 (64.438) Prec@5 82.812 (86.437) Test: [300/391] Time 0.104 (0.114) Loss 1.5483 (1.4864) Prec@1 71.094 (64.190) Prec@5 85.938 (86.197) Test: [310/391] Time 0.101 (0.113) Loss 1.8762 (1.4962) Prec@1 58.594 (64.000) Prec@5 81.250 (86.035) Test: [320/391] Time 0.106 (0.113) Loss 1.0187 (1.5035) Prec@1 71.875 (63.931) Prec@5 93.750 (85.957) Test: [330/391] Time 0.109 (0.113) Loss 2.2088 (1.5237) Prec@1 50.000 (63.505) Prec@5 75.000 (85.666) Test: [340/391] Time 0.109 (0.113) Loss 1.4765 (1.5308) Prec@1 64.844 (63.339) Prec@5 89.062 (85.585) Test: [350/391] Time 0.103 (0.113) Loss 1.6390 (1.5399) Prec@1 65.625 (63.188) Prec@5 85.156 (85.434) Test: [360/391] Time 0.102 (0.113) Loss 1.9186 (1.5495) Prec@1 53.125 (63.013) Prec@5 82.031 (85.345) Test: [370/391] Time 0.105 (0.112) Loss 1.6264 (1.5459) Prec@1 57.812 (63.073) Prec@5 85.938 (85.401) Test: [380/391] Time 0.099 (0.112) Loss 1.2096 (1.5482) Prec@1 69.531 (63.064) Prec@5 89.844 (85.378) Test: [390/391] Time 0.072 (0.112) Loss 2.5161 (1.5392) Prec@1 38.750 (63.266) Prec@5 71.250 (85.484) * Prec@1 63.266 Prec@5 85.484 Epoch: [52][0/10010] Time 2.443 (2.443) Data 2.258 (2.258) Loss 1.6828 (1.6828) Prec@1 61.719 (61.719) Prec@5 81.250 (81.250) Epoch: [52][10/10010] Time 0.316 (0.510) Data 0.001 (0.206) Loss 1.9335 (1.7887) Prec@1 58.594 (60.866) Prec@5 78.906 (80.043) Epoch: [52][20/10010] Time 0.321 (0.418) Data 0.000 (0.108) Loss 1.7122 (1.7614) Prec@1 60.938 (60.193) Prec@5 81.250 (80.766) Epoch: [52][30/10010] Time 0.312 (0.385) Data 0.001 (0.073) Loss 1.8249 (1.7727) Prec@1 59.375 (59.929) Prec@5 78.125 (80.519) Epoch: [52][40/10010] Time 0.316 (0.371) Data 0.001 (0.056) Loss 1.5842 (1.7632) Prec@1 61.719 (60.061) Prec@5 86.719 (80.774) Epoch: [52][50/10010] Time 0.321 (0.363) Data 0.000 (0.045) Loss 1.6531 (1.7672) Prec@1 61.719 (60.018) Prec@5 87.500 (80.990) Epoch: [52][60/10010] Time 0.330 (0.358) Data 0.001 (0.038) Loss 1.4317 (1.7626) Prec@1 58.594 (59.951) Prec@5 88.281 (81.135) Epoch: [52][70/10010] Time 0.340 (0.353) Data 0.000 (0.032) Loss 1.8641 (1.7500) Prec@1 52.344 (60.101) Prec@5 83.594 (81.294) Epoch: [52][80/10010] Time 0.338 (0.351) Data 0.000 (0.028) Loss 1.8891 (1.7459) Prec@1 52.344 (60.214) Prec@5 80.469 (81.375) Epoch: [52][90/10010] Time 0.316 (0.347) Data 0.000 (0.025) Loss 1.5896 (1.7394) Prec@1 59.375 (60.199) Prec@5 83.594 (81.422) Epoch: [52][100/10010] Time 0.321 (0.345) Data 0.000 (0.023) Loss 1.9713 (1.7479) Prec@1 55.469 (59.994) Prec@5 79.688 (81.304) Epoch: [52][110/10010] Time 0.322 (0.343) Data 0.001 (0.021) Loss 2.0234 (1.7540) Prec@1 48.438 (59.818) Prec@5 75.000 (81.187) Epoch: [52][120/10010] Time 0.331 (0.342) Data 0.001 (0.019) Loss 1.6846 (1.7488) Prec@1 59.375 (59.937) Prec@5 87.500 (81.360) Epoch: [52][130/10010] Time 0.343 (0.342) Data 0.001 (0.018) Loss 1.8498 (1.7469) Prec@1 65.625 (60.055) Prec@5 82.812 (81.483) Epoch: [52][140/10010] Time 0.319 (0.340) Data 0.000 (0.017) Loss 1.3119 (1.7428) Prec@1 71.875 (60.129) Prec@5 86.719 (81.627) Epoch: [52][150/10010] Time 0.320 (0.340) Data 0.001 (0.016) Loss 1.2583 (1.7403) Prec@1 70.312 (60.120) Prec@5 87.500 (81.566) Epoch: [52][160/10010] Time 0.330 (0.339) Data 0.000 (0.015) Loss 1.7052 (1.7447) Prec@1 57.812 (60.079) Prec@5 82.031 (81.488) Epoch: [52][170/10010] Time 0.328 (0.338) Data 0.000 (0.014) Loss 1.9206 (1.7454) Prec@1 57.031 (60.060) Prec@5 78.125 (81.456) Epoch: [52][180/10010] Time 0.319 (0.337) Data 0.000 (0.013) Loss 2.0686 (1.7447) Prec@1 47.656 (59.971) Prec@5 76.562 (81.449) Epoch: [52][190/10010] Time 0.334 (0.336) Data 0.001 (0.012) Loss 1.7395 (1.7456) Prec@1 59.375 (59.866) Prec@5 82.031 (81.512) Epoch: [52][200/10010] Time 0.324 (0.336) Data 0.000 (0.012) Loss 1.9444 (1.7450) Prec@1 55.469 (59.911) Prec@5 82.031 (81.534) Epoch: [52][210/10010] Time 0.317 (0.335) Data 0.001 (0.011) Loss 1.8680 (1.7485) Prec@1 61.719 (59.893) Prec@5 75.000 (81.457) Epoch: [52][220/10010] Time 0.320 (0.334) Data 0.001 (0.011) Loss 1.8309 (1.7482) Prec@1 64.844 (59.965) Prec@5 81.250 (81.512) Epoch: [52][230/10010] Time 0.335 (0.334) Data 0.000 (0.010) Loss 1.5466 (1.7466) Prec@1 61.719 (60.011) Prec@5 83.594 (81.531) Epoch: [52][240/10010] Time 0.340 (0.334) Data 0.000 (0.010) Loss 1.8866 (1.7482) Prec@1 56.250 (59.975) Prec@5 78.906 (81.532) Epoch: [52][250/10010] Time 0.338 (0.334) Data 0.001 (0.010) Loss 1.8695 (1.7506) Prec@1 60.938 (59.988) Prec@5 78.125 (81.434) Epoch: [52][260/10010] Time 0.319 (0.334) Data 0.001 (0.009) Loss 1.4656 (1.7458) Prec@1 66.406 (60.090) Prec@5 85.156 (81.513) Epoch: [52][270/10010] Time 0.333 (0.334) Data 0.000 (0.009) Loss 1.7567 (1.7446) Prec@1 57.812 (60.015) Prec@5 78.125 (81.535) Epoch: [52][280/10010] Time 0.316 (0.333) Data 0.000 (0.009) Loss 1.8331 (1.7442) Prec@1 60.938 (60.045) Prec@5 80.469 (81.556) Epoch: [52][290/10010] Time 0.328 (0.333) Data 0.001 (0.008) Loss 1.9207 (1.7456) Prec@1 55.469 (60.046) Prec@5 78.125 (81.572) Epoch: [52][300/10010] Time 0.336 (0.333) Data 0.000 (0.008) Loss 1.5179 (1.7451) Prec@1 57.812 (60.024) Prec@5 82.812 (81.606) Epoch: [52][310/10010] Time 0.318 (0.332) Data 0.000 (0.008) Loss 1.8024 (1.7451) Prec@1 55.469 (60.026) Prec@5 85.156 (81.614) Epoch: [52][320/10010] Time 0.325 (0.332) Data 0.001 (0.008) Loss 1.6538 (1.7416) Prec@1 62.500 (60.071) Prec@5 80.469 (81.656) Epoch: [52][330/10010] Time 0.315 (0.332) Data 0.001 (0.007) Loss 1.5712 (1.7417) Prec@1 63.281 (60.081) Prec@5 83.594 (81.661) Epoch: [52][340/10010] Time 0.315 (0.332) Data 0.000 (0.007) Loss 1.9355 (1.7415) Prec@1 59.375 (60.094) Prec@5 79.688 (81.656) Epoch: [52][350/10010] Time 0.338 (0.332) Data 0.001 (0.007) Loss 1.5929 (1.7408) Prec@1 60.938 (60.058) Prec@5 83.594 (81.664) Epoch: [52][360/10010] Time 0.324 (0.331) Data 0.001 (0.007) Loss 1.7375 (1.7401) Prec@1 64.844 (60.119) Prec@5 82.031 (81.644) Epoch: [52][370/10010] Time 0.326 (0.331) Data 0.000 (0.007) Loss 1.8965 (1.7401) Prec@1 57.031 (60.142) Prec@5 78.906 (81.631) Epoch: [52][380/10010] Time 0.333 (0.331) Data 0.001 (0.007) Loss 1.6583 (1.7411) Prec@1 64.844 (60.167) Prec@5 81.250 (81.617) Epoch: [52][390/10010] Time 0.341 (0.331) Data 0.001 (0.006) Loss 2.0387 (1.7433) Prec@1 53.906 (60.166) Prec@5 75.000 (81.576) Epoch: [52][400/10010] Time 0.316 (0.331) Data 0.001 (0.006) Loss 1.7703 (1.7440) Prec@1 59.375 (60.137) Prec@5 83.594 (81.568) Epoch: [52][410/10010] Time 0.313 (0.331) Data 0.001 (0.006) Loss 2.0820 (1.7455) Prec@1 54.688 (60.101) Prec@5 75.781 (81.537) Epoch: [52][420/10010] Time 0.328 (0.331) Data 0.001 (0.006) Loss 1.8033 (1.7450) Prec@1 60.938 (60.089) Prec@5 82.812 (81.567) Epoch: [52][430/10010] Time 0.335 (0.330) Data 0.001 (0.006) Loss 2.0013 (1.7452) Prec@1 55.469 (60.066) Prec@5 76.562 (81.562) Epoch: [52][440/10010] Time 0.312 (0.330) Data 0.001 (0.006) Loss 1.5791 (1.7454) Prec@1 62.500 (60.085) Prec@5 82.812 (81.572) Epoch: [52][450/10010] Time 0.319 (0.330) Data 0.001 (0.006) Loss 1.8956 (1.7437) Prec@1 58.594 (60.134) Prec@5 79.688 (81.590) Epoch: [52][460/10010] Time 0.340 (0.330) Data 0.001 (0.005) Loss 1.7671 (1.7429) Prec@1 60.156 (60.163) Prec@5 77.344 (81.597) Epoch: [52][470/10010] Time 0.319 (0.330) Data 0.001 (0.005) Loss 1.1883 (1.7433) Prec@1 70.312 (60.143) Prec@5 90.625 (81.588) Epoch: [52][480/10010] Time 0.324 (0.330) Data 0.001 (0.005) Loss 1.7306 (1.7420) Prec@1 58.594 (60.145) Prec@5 79.688 (81.606) Epoch: [52][490/10010] Time 0.319 (0.330) Data 0.000 (0.005) Loss 1.7196 (1.7399) Prec@1 56.250 (60.153) Prec@5 84.375 (81.654) Epoch: [52][500/10010] Time 0.319 (0.329) Data 0.001 (0.005) Loss 1.6368 (1.7392) Prec@1 60.156 (60.148) Prec@5 82.031 (81.659) Epoch: [52][510/10010] Time 0.317 (0.329) Data 0.001 (0.005) Loss 1.9297 (1.7393) Prec@1 63.281 (60.175) Prec@5 81.250 (81.654) Epoch: [52][520/10010] Time 0.318 (0.329) Data 0.000 (0.005) Loss 1.6782 (1.7380) Prec@1 61.719 (60.182) Prec@5 85.156 (81.658) Epoch: [52][530/10010] Time 0.320 (0.329) Data 0.001 (0.005) Loss 1.6969 (1.7373) Prec@1 61.719 (60.189) Prec@5 81.250 (81.666) Epoch: [52][540/10010] Time 0.319 (0.329) Data 0.001 (0.005) Loss 1.6610 (1.7371) Prec@1 62.500 (60.211) Prec@5 85.156 (81.667) Epoch: [52][550/10010] Time 0.318 (0.329) Data 0.000 (0.005) Loss 1.4121 (1.7373) Prec@1 67.188 (60.217) Prec@5 85.156 (81.673) Epoch: [52][560/10010] Time 0.311 (0.329) Data 0.000 (0.005) Loss 1.7728 (1.7359) Prec@1 56.250 (60.240) Prec@5 81.250 (81.701) Epoch: [52][570/10010] Time 0.313 (0.329) Data 0.001 (0.005) Loss 1.9423 (1.7343) Prec@1 56.250 (60.251) Prec@5 78.125 (81.738) Epoch: [52][580/10010] Time 0.325 (0.328) Data 0.001 (0.004) Loss 1.9334 (1.7334) Prec@1 55.469 (60.287) Prec@5 78.125 (81.757) Epoch: [52][590/10010] Time 0.319 (0.328) Data 0.000 (0.004) Loss 1.6454 (1.7349) Prec@1 64.062 (60.282) Prec@5 82.812 (81.744) Epoch: [52][600/10010] Time 0.311 (0.328) Data 0.001 (0.004) Loss 1.6239 (1.7339) Prec@1 62.500 (60.299) Prec@5 83.594 (81.770) Epoch: [52][610/10010] Time 0.329 (0.328) Data 0.000 (0.004) Loss 1.6951 (1.7340) Prec@1 60.938 (60.301) Prec@5 82.031 (81.759) Epoch: [52][620/10010] Time 0.320 (0.328) Data 0.000 (0.004) Loss 1.7627 (1.7340) Prec@1 59.375 (60.293) Prec@5 80.469 (81.761) Epoch: [52][630/10010] Time 0.320 (0.328) Data 0.001 (0.004) Loss 2.0614 (1.7362) Prec@1 52.344 (60.260) Prec@5 78.906 (81.720) Epoch: [52][640/10010] Time 0.316 (0.328) Data 0.001 (0.004) Loss 1.7816 (1.7371) Prec@1 57.812 (60.267) Prec@5 80.469 (81.707) Epoch: [52][650/10010] Time 0.330 (0.328) Data 0.001 (0.004) Loss 1.4829 (1.7359) Prec@1 67.969 (60.282) Prec@5 86.719 (81.744) Epoch: [52][660/10010] Time 0.310 (0.328) Data 0.000 (0.004) Loss 1.6956 (1.7348) Prec@1 60.156 (60.282) Prec@5 82.812 (81.769) Epoch: [52][670/10010] Time 0.340 (0.328) Data 0.001 (0.004) Loss 1.7179 (1.7350) Prec@1 58.594 (60.253) Prec@5 85.938 (81.773) /data/vision/torralba/deepscene/lib/anaconda2/lib/python2.7/site-packages/PIL/TiffImagePlugin.py:692: UserWarning: Possibly corrupt EXIF data. Expecting to read 2555904 bytes but only got 0. Skipping tag 0 "Skipping tag %s" % (size, len(data), tag)) Epoch: [52][680/10010] Time 0.325 (0.328) Data 0.000 (0.004) Loss 1.7711 (1.7347) Prec@1 58.594 (60.277) Prec@5 82.031 (81.772) Epoch: [52][690/10010] Time 0.329 (0.328) Data 0.001 (0.004) Loss 1.8720 (1.7339) Prec@1 57.031 (60.289) Prec@5 78.906 (81.789) Epoch: [52][700/10010] Time 0.325 (0.328) Data 0.000 (0.004) Loss 1.7182 (1.7346) Prec@1 57.812 (60.296) Prec@5 82.031 (81.782) Epoch: [52][710/10010] Time 0.314 (0.328) Data 0.001 (0.004) Loss 1.4738 (1.7355) Prec@1 63.281 (60.291) Prec@5 89.062 (81.773) Epoch: [52][720/10010] Time 0.332 (0.328) Data 0.001 (0.004) Loss 1.7120 (1.7348) Prec@1 63.281 (60.286) Prec@5 81.250 (81.785) Epoch: [52][730/10010] Time 0.330 (0.328) Data 0.001 (0.004) Loss 1.8933 (1.7339) Prec@1 54.688 (60.297) Prec@5 80.469 (81.789) Epoch: [52][740/10010] Time 0.342 (0.328) Data 0.000 (0.004) Loss 1.6284 (1.7344) Prec@1 65.625 (60.307) Prec@5 83.594 (81.800) Epoch: [52][750/10010] Time 0.328 (0.328) Data 0.001 (0.004) Loss 1.8540 (1.7344) Prec@1 59.375 (60.314) Prec@5 81.250 (81.798) Epoch: [52][760/10010] Time 0.342 (0.328) Data 0.000 (0.004) Loss 1.8177 (1.7351) Prec@1 60.156 (60.296) Prec@5 79.688 (81.792) Epoch: [52][770/10010] Time 0.315 (0.328) Data 0.001 (0.004) Loss 1.7580 (1.7366) Prec@1 58.594 (60.246) Prec@5 82.812 (81.777) Epoch: [52][780/10010] Time 0.327 (0.328) Data 0.001 (0.003) Loss 1.6073 (1.7360) Prec@1 60.938 (60.263) Prec@5 80.469 (81.789) Epoch: [52][790/10010] Time 0.313 (0.327) Data 0.001 (0.003) Loss 1.9290 (1.7381) Prec@1 57.812 (60.225) Prec@5 77.344 (81.742) Epoch: [52][800/10010] Time 0.335 (0.327) Data 0.001 (0.003) Loss 1.9710 (1.7376) Prec@1 58.594 (60.236) Prec@5 77.344 (81.743) Epoch: [52][810/10010] Time 0.331 (0.327) Data 0.001 (0.003) Loss 1.4888 (1.7377) Prec@1 63.281 (60.222) Prec@5 85.156 (81.734) Epoch: [52][820/10010] Time 0.342 (0.327) Data 0.001 (0.003) Loss 1.6618 (1.7373) Prec@1 59.375 (60.212) Prec@5 82.031 (81.739) Epoch: [52][830/10010] Time 0.316 (0.327) Data 0.000 (0.003) Loss 1.7048 (1.7372) Prec@1 62.500 (60.195) Prec@5 81.250 (81.746) Epoch: [52][840/10010] Time 0.330 (0.328) Data 0.001 (0.003) Loss 1.7030 (1.7355) Prec@1 57.812 (60.230) Prec@5 82.812 (81.766) Epoch: [52][850/10010] Time 0.323 (0.327) Data 0.001 (0.003) Loss 1.8969 (1.7369) Prec@1 56.250 (60.196) Prec@5 78.906 (81.742) Epoch: [52][860/10010] Time 0.326 (0.327) Data 0.000 (0.003) Loss 1.6662 (1.7364) Prec@1 62.500 (60.194) Prec@5 82.812 (81.753) Epoch: [52][870/10010] Time 0.336 (0.327) Data 0.001 (0.003) Loss 1.5870 (1.7372) Prec@1 64.844 (60.171) Prec@5 84.375 (81.751) Epoch: [52][880/10010] Time 0.317 (0.327) Data 0.000 (0.003) Loss 1.7555 (1.7373) Prec@1 60.156 (60.157) Prec@5 81.250 (81.749) Epoch: [52][890/10010] Time 0.335 (0.327) Data 0.001 (0.003) Loss 1.9521 (1.7378) Prec@1 52.344 (60.159) Prec@5 78.906 (81.741) Epoch: [52][900/10010] Time 0.313 (0.327) Data 0.001 (0.003) Loss 1.3365 (1.7372) Prec@1 70.312 (60.178) Prec@5 84.375 (81.747) Epoch: [52][910/10010] Time 0.321 (0.327) Data 0.001 (0.003) Loss 1.8772 (1.7380) Prec@1 57.031 (60.165) Prec@5 77.344 (81.738) Epoch: [52][920/10010] Time 0.341 (0.327) Data 0.000 (0.003) Loss 2.1844 (1.7378) Prec@1 51.562 (60.166) Prec@5 75.000 (81.745) Epoch: [52][930/10010] Time 0.334 (0.327) Data 0.001 (0.003) Loss 1.8552 (1.7388) Prec@1 61.719 (60.151) Prec@5 78.906 (81.733) Epoch: [52][940/10010] Time 0.331 (0.327) Data 0.001 (0.003) Loss 1.7644 (1.7383) Prec@1 59.375 (60.150) Prec@5 80.469 (81.758) Epoch: [52][950/10010] Time 0.308 (0.327) Data 0.000 (0.003) Loss 1.4074 (1.7380) Prec@1 64.844 (60.154) Prec@5 85.938 (81.767) Epoch: [52][960/10010] Time 0.335 (0.327) Data 0.000 (0.003) Loss 1.5482 (1.7381) Prec@1 66.406 (60.168) Prec@5 87.500 (81.766) Epoch: [52][970/10010] Time 0.339 (0.327) Data 0.001 (0.003) Loss 1.7835 (1.7371) Prec@1 63.281 (60.185) Prec@5 81.250 (81.786) Epoch: [52][980/10010] Time 0.331 (0.327) Data 0.001 (0.003) Loss 1.7406 (1.7370) Prec@1 58.594 (60.190) Prec@5 79.688 (81.777) Epoch: [52][990/10010] Time 0.337 (0.327) Data 0.000 (0.003) Loss 1.8600 (1.7372) Prec@1 57.031 (60.177) Prec@5 77.344 (81.766) Epoch: [52][1000/10010] Time 0.334 (0.327) Data 0.000 (0.003) Loss 1.7370 (1.7383) Prec@1 65.625 (60.152) Prec@5 79.688 (81.748) Epoch: [52][1010/10010] Time 0.323 (0.327) Data 0.001 (0.003) Loss 1.5255 (1.7385) Prec@1 65.625 (60.152) Prec@5 86.719 (81.748) Epoch: [52][1020/10010] Time 0.317 (0.327) Data 0.001 (0.003) Loss 1.5691 (1.7387) Prec@1 64.062 (60.146) Prec@5 85.938 (81.748) Epoch: [52][1030/10010] Time 0.313 (0.327) Data 0.001 (0.003) Loss 1.7755 (1.7383) Prec@1 57.031 (60.138) Prec@5 85.938 (81.759) Epoch: [52][1040/10010] Time 0.321 (0.327) Data 0.000 (0.003) Loss 1.6962 (1.7374) Prec@1 61.719 (60.154) Prec@5 80.469 (81.769) Epoch: [52][1050/10010] Time 0.319 (0.327) Data 0.001 (0.003) Loss 1.6812 (1.7382) Prec@1 65.625 (60.138) Prec@5 81.250 (81.747) Epoch: [52][1060/10010] Time 0.333 (0.327) Data 0.001 (0.003) Loss 1.3994 (1.7385) Prec@1 66.406 (60.129) Prec@5 85.938 (81.743) Epoch: [52][1070/10010] Time 0.325 (0.327) Data 0.000 (0.003) Loss 1.4527 (1.7380) Prec@1 67.969 (60.134) Prec@5 87.500 (81.758) Epoch: [52][1080/10010] Time 0.326 (0.327) Data 0.001 (0.003) Loss 1.7231 (1.7379) Prec@1 57.812 (60.143) Prec@5 82.031 (81.757) Epoch: [52][1090/10010] Time 0.319 (0.327) Data 0.000 (0.003) Loss 1.4239 (1.7377) Prec@1 64.062 (60.145) Prec@5 88.281 (81.762) Epoch: [52][1100/10010] Time 0.328 (0.327) Data 0.000 (0.003) Loss 1.8062 (1.7379) Prec@1 58.594 (60.136) Prec@5 81.250 (81.759) Epoch: [52][1110/10010] Time 0.310 (0.327) Data 0.001 (0.003) Loss 1.6909 (1.7376) Prec@1 61.719 (60.131) Prec@5 82.812 (81.771) Epoch: [52][1120/10010] Time 0.318 (0.327) Data 0.001 (0.003) Loss 1.7451 (1.7375) Prec@1 53.906 (60.129) Prec@5 82.031 (81.770) Epoch: [52][1130/10010] Time 0.320 (0.327) Data 0.001 (0.003) Loss 1.8571 (1.7382) Prec@1 55.469 (60.111) Prec@5 81.250 (81.759) Epoch: [52][1140/10010] Time 0.336 (0.327) Data 0.000 (0.003) Loss 1.9185 (1.7382) Prec@1 60.156 (60.106) Prec@5 78.125 (81.770) Epoch: [52][1150/10010] Time 0.337 (0.327) Data 0.001 (0.003) Loss 1.6217 (1.7374) Prec@1 67.188 (60.128) Prec@5 82.031 (81.778) Epoch: [52][1160/10010] Time 0.336 (0.327) Data 0.001 (0.003) Loss 1.5353 (1.7367) Prec@1 60.938 (60.133) Prec@5 85.156 (81.787) Epoch: [52][1170/10010] Time 0.330 (0.327) Data 0.000 (0.003) Loss 2.0090 (1.7378) Prec@1 55.469 (60.122) Prec@5 78.125 (81.778) Epoch: [52][1180/10010] Time 0.319 (0.327) Data 0.001 (0.003) Loss 1.5949 (1.7384) Prec@1 61.719 (60.126) Prec@5 84.375 (81.775) Epoch: [52][1190/10010] Time 0.315 (0.327) Data 0.000 (0.003) Loss 1.9802 (1.7384) Prec@1 55.469 (60.134) Prec@5 79.688 (81.778) Epoch: [52][1200/10010] Time 0.321 (0.327) Data 0.000 (0.002) Loss 1.8503 (1.7385) Prec@1 57.031 (60.138) Prec@5 79.688 (81.780) Epoch: [52][1210/10010] Time 0.334 (0.327) Data 0.001 (0.002) Loss 1.7898 (1.7382) Prec@1 55.469 (60.145) Prec@5 81.250 (81.781) Epoch: [52][1220/10010] Time 0.324 (0.327) Data 0.000 (0.002) Loss 1.9579 (1.7388) Prec@1 57.812 (60.143) Prec@5 78.906 (81.775) Epoch: [52][1230/10010] Time 0.316 (0.327) Data 0.000 (0.002) Loss 2.0422 (1.7388) Prec@1 52.344 (60.148) Prec@5 73.438 (81.766) Epoch: [52][1240/10010] Time 0.320 (0.327) Data 0.001 (0.002) Loss 1.6573 (1.7388) Prec@1 57.812 (60.152) Prec@5 82.031 (81.761) Epoch: [52][1250/10010] Time 0.338 (0.327) Data 0.001 (0.002) Loss 1.8691 (1.7394) Prec@1 60.938 (60.147) Prec@5 80.469 (81.755) Epoch: [52][1260/10010] Time 0.317 (0.327) Data 0.001 (0.002) Loss 2.0837 (1.7402) Prec@1 56.250 (60.138) Prec@5 71.875 (81.738) Epoch: [52][1270/10010] Time 0.329 (0.327) Data 0.001 (0.002) Loss 1.9159 (1.7399) Prec@1 60.938 (60.157) Prec@5 77.344 (81.744) Epoch: [52][1280/10010] Time 0.325 (0.327) Data 0.001 (0.002) Loss 2.1277 (1.7400) Prec@1 51.562 (60.160) Prec@5 73.438 (81.738) Epoch: [52][1290/10010] Time 0.336 (0.327) Data 0.001 (0.002) Loss 1.7332 (1.7405) Prec@1 57.812 (60.157) Prec@5 83.594 (81.729) Epoch: [52][1300/10010] Time 0.317 (0.327) Data 0.001 (0.002) Loss 1.7585 (1.7412) Prec@1 57.812 (60.144) Prec@5 79.688 (81.712) Epoch: [52][1310/10010] Time 0.325 (0.327) Data 0.001 (0.002) Loss 2.1040 (1.7419) Prec@1 55.469 (60.126) Prec@5 75.781 (81.701) Epoch: [52][1320/10010] Time 0.329 (0.327) Data 0.001 (0.002) Loss 1.6060 (1.7421) Prec@1 60.156 (60.122) Prec@5 83.594 (81.698) Epoch: [52][1330/10010] Time 0.337 (0.327) Data 0.000 (0.002) Loss 1.7533 (1.7421) Prec@1 59.375 (60.109) Prec@5 78.906 (81.697) Epoch: [52][1340/10010] Time 0.330 (0.327) Data 0.001 (0.002) Loss 1.9329 (1.7426) Prec@1 57.812 (60.110) Prec@5 75.781 (81.681) Epoch: [52][1350/10010] Time 0.319 (0.327) Data 0.000 (0.002) Loss 1.8870 (1.7428) Prec@1 55.469 (60.112) Prec@5 77.344 (81.670) Epoch: [52][1360/10010] Time 0.321 (0.327) Data 0.001 (0.002) Loss 1.7761 (1.7430) Prec@1 57.812 (60.114) Prec@5 83.594 (81.674) Epoch: [52][1370/10010] Time 0.331 (0.327) Data 0.000 (0.002) Loss 1.3004 (1.7427) Prec@1 69.531 (60.107) Prec@5 87.500 (81.684) Epoch: [52][1380/10010] Time 0.316 (0.327) Data 0.001 (0.002) Loss 1.4797 (1.7423) Prec@1 67.969 (60.117) Prec@5 88.281 (81.684) Epoch: [52][1390/10010] Time 0.339 (0.327) Data 0.000 (0.002) Loss 1.6884 (1.7420) Prec@1 57.812 (60.129) Prec@5 82.812 (81.696) Epoch: [52][1400/10010] Time 0.341 (0.327) Data 0.001 (0.002) Loss 2.0116 (1.7427) Prec@1 54.688 (60.117) Prec@5 76.562 (81.686) Epoch: [52][1410/10010] Time 0.315 (0.327) Data 0.001 (0.002) Loss 1.8171 (1.7425) Prec@1 57.812 (60.123) Prec@5 82.031 (81.686) Epoch: [52][1420/10010] Time 0.338 (0.327) Data 0.001 (0.002) Loss 1.7532 (1.7424) Prec@1 65.625 (60.136) Prec@5 79.688 (81.680) Epoch: [52][1430/10010] Time 0.331 (0.327) Data 0.001 (0.002) Loss 1.9155 (1.7424) Prec@1 55.469 (60.129) Prec@5 78.906 (81.671) Epoch: [52][1440/10010] Time 0.332 (0.327) Data 0.001 (0.002) Loss 1.7250 (1.7422) Prec@1 64.844 (60.123) Prec@5 82.031 (81.674) Epoch: [52][1450/10010] Time 0.319 (0.327) Data 0.001 (0.002) Loss 1.6370 (1.7423) Prec@1 62.500 (60.108) Prec@5 85.156 (81.674) Epoch: [52][1460/10010] Time 0.318 (0.327) Data 0.000 (0.002) Loss 1.8740 (1.7431) Prec@1 52.344 (60.090) Prec@5 82.031 (81.663) Epoch: [52][1470/10010] Time 0.314 (0.327) Data 0.001 (0.002) Loss 1.7839 (1.7437) Prec@1 60.156 (60.081) Prec@5 83.594 (81.656) Epoch: [52][1480/10010] Time 0.328 (0.327) Data 0.001 (0.002) Loss 1.5355 (1.7436) Prec@1 64.844 (60.080) Prec@5 84.375 (81.657) Epoch: [52][1490/10010] Time 0.327 (0.327) Data 0.001 (0.002) Loss 1.5696 (1.7439) Prec@1 63.281 (60.079) Prec@5 81.250 (81.644) Epoch: [52][1500/10010] Time 0.332 (0.327) Data 0.001 (0.002) Loss 1.8846 (1.7445) Prec@1 54.688 (60.073) Prec@5 82.031 (81.637) Epoch: [52][1510/10010] Time 0.316 (0.327) Data 0.000 (0.002) Loss 1.6734 (1.7447) Prec@1 60.938 (60.059) Prec@5 80.469 (81.633) Epoch: [52][1520/10010] Time 0.315 (0.327) Data 0.000 (0.002) Loss 1.8657 (1.7447) Prec@1 60.938 (60.064) Prec@5 82.031 (81.637) Epoch: [52][1530/10010] Time 0.339 (0.327) Data 0.000 (0.002) Loss 1.9051 (1.7443) Prec@1 56.250 (60.084) Prec@5 79.688 (81.642) Epoch: [52][1540/10010] Time 0.337 (0.327) Data 0.001 (0.002) Loss 1.8513 (1.7448) Prec@1 62.500 (60.076) Prec@5 82.031 (81.635) Epoch: [52][1550/10010] Time 0.325 (0.327) Data 0.001 (0.002) Loss 1.7206 (1.7454) Prec@1 60.938 (60.068) Prec@5 78.906 (81.618) Epoch: [52][1560/10010] Time 0.337 (0.327) Data 0.000 (0.002) Loss 1.7754 (1.7459) Prec@1 62.500 (60.057) Prec@5 80.469 (81.612) Epoch: [52][1570/10010] Time 0.318 (0.327) Data 0.000 (0.002) Loss 1.3725 (1.7458) Prec@1 65.625 (60.056) Prec@5 88.281 (81.614) Epoch: [52][1580/10010] Time 0.334 (0.327) Data 0.000 (0.002) Loss 2.0894 (1.7461) Prec@1 54.688 (60.057) Prec@5 75.000 (81.605) Epoch: [52][1590/10010] Time 0.317 (0.327) Data 0.001 (0.002) Loss 1.8968 (1.7463) Prec@1 61.719 (60.059) Prec@5 79.688 (81.600) Epoch: [52][1600/10010] Time 0.322 (0.327) Data 0.000 (0.002) Loss 1.5939 (1.7457) Prec@1 65.625 (60.071) Prec@5 86.719 (81.615) Epoch: [52][1610/10010] Time 0.338 (0.327) Data 0.001 (0.002) Loss 1.8271 (1.7462) Prec@1 59.375 (60.063) Prec@5 78.906 (81.609) Epoch: [52][1620/10010] Time 0.329 (0.327) Data 0.000 (0.002) Loss 1.7197 (1.7463) Prec@1 57.031 (60.057) Prec@5 78.125 (81.601) Epoch: [52][1630/10010] Time 0.320 (0.327) Data 0.001 (0.002) Loss 1.6539 (1.7465) Prec@1 60.938 (60.043) Prec@5 85.938 (81.598) Epoch: [52][1640/10010] Time 0.342 (0.327) Data 0.001 (0.002) Loss 1.6914 (1.7469) Prec@1 61.719 (60.032) Prec@5 83.594 (81.597) Epoch: [52][1650/10010] Time 0.314 (0.327) Data 0.000 (0.002) Loss 1.8779 (1.7470) Prec@1 54.688 (60.038) Prec@5 79.688 (81.598) Epoch: [52][1660/10010] Time 0.335 (0.327) Data 0.000 (0.002) Loss 1.6476 (1.7471) Prec@1 64.062 (60.036) Prec@5 83.594 (81.599) Epoch: [52][1670/10010] Time 0.317 (0.327) Data 0.000 (0.002) Loss 1.6174 (1.7472) Prec@1 62.500 (60.036) Prec@5 82.031 (81.598) Epoch: [52][1680/10010] Time 0.320 (0.327) Data 0.001 (0.002) Loss 1.7828 (1.7475) Prec@1 58.594 (60.033) Prec@5 81.250 (81.592) Epoch: [52][1690/10010] Time 0.336 (0.327) Data 0.000 (0.002) Loss 1.7670 (1.7477) Prec@1 62.500 (60.034) Prec@5 78.906 (81.581) Epoch: [52][1700/10010] Time 0.329 (0.327) Data 0.001 (0.002) Loss 1.8325 (1.7478) Prec@1 61.719 (60.039) Prec@5 75.000 (81.577) Epoch: [52][1710/10010] Time 0.309 (0.327) Data 0.001 (0.002) Loss 1.6795 (1.7485) Prec@1 64.062 (60.033) Prec@5 82.031 (81.574) Epoch: [52][1720/10010] Time 0.338 (0.327) Data 0.001 (0.002) Loss 1.6773 (1.7485) Prec@1 60.938 (60.035) Prec@5 82.812 (81.571) Epoch: [52][1730/10010] Time 0.321 (0.327) Data 0.001 (0.002) Loss 1.7592 (1.7485) Prec@1 57.812 (60.035) Prec@5 78.125 (81.571) /data/vision/torralba/deepscene/lib/anaconda2/lib/python2.7/site-packages/PIL/TiffImagePlugin.py:692: UserWarning: Possibly corrupt EXIF data. Expecting to read 2555904 bytes but only got 0. Skipping tag 0 "Skipping tag %s" % (size, len(data), tag)) Epoch: [52][1740/10010] Time 0.338 (0.327) Data 0.001 (0.002) Loss 2.0370 (1.7484) Prec@1 57.812 (60.041) Prec@5 74.219 (81.571) Epoch: [52][1750/10010] Time 0.328 (0.327) Data 0.001 (0.002) Loss 1.6917 (1.7480) Prec@1 59.375 (60.042) Prec@5 81.250 (81.577) Epoch: [52][1760/10010] Time 0.311 (0.327) Data 0.000 (0.002) Loss 1.5883 (1.7476) Prec@1 64.062 (60.050) Prec@5 84.375 (81.584) Epoch: [52][1770/10010] Time 0.323 (0.327) Data 0.001 (0.002) Loss 1.6094 (1.7478) Prec@1 60.938 (60.046) Prec@5 86.719 (81.582) Epoch: [52][1780/10010] Time 0.322 (0.327) Data 0.001 (0.002) Loss 1.4534 (1.7478) Prec@1 64.062 (60.044) Prec@5 85.156 (81.579) Epoch: [52][1790/10010] Time 0.332 (0.327) Data 0.001 (0.002) Loss 2.0233 (1.7477) Prec@1 56.250 (60.049) Prec@5 78.906 (81.582) Epoch: [52][1800/10010] Time 0.337 (0.327) Data 0.001 (0.002) Loss 1.7808 (1.7475) Prec@1 59.375 (60.049) Prec@5 82.031 (81.585) Epoch: [52][1810/10010] Time 0.324 (0.327) Data 0.001 (0.002) Loss 1.6022 (1.7477) Prec@1 62.500 (60.049) Prec@5 86.719 (81.589) Epoch: [52][1820/10010] Time 0.336 (0.327) Data 0.001 (0.002) Loss 1.7148 (1.7475) Prec@1 58.594 (60.049) Prec@5 80.469 (81.592) Epoch: [52][1830/10010] Time 0.319 (0.327) Data 0.001 (0.002) Loss 1.3294 (1.7471) Prec@1 63.281 (60.053) Prec@5 88.281 (81.599) Epoch: [52][1840/10010] Time 0.341 (0.327) Data 0.000 (0.002) Loss 1.7112 (1.7470) Prec@1 58.594 (60.053) Prec@5 80.469 (81.595) Epoch: [52][1850/10010] Time 0.318 (0.327) Data 0.001 (0.002) Loss 1.7808 (1.7469) Prec@1 56.250 (60.047) Prec@5 78.125 (81.594) Epoch: [52][1860/10010] Time 0.314 (0.327) Data 0.000 (0.002) Loss 1.9205 (1.7472) Prec@1 54.688 (60.041) Prec@5 76.562 (81.590) Epoch: [52][1870/10010] Time 0.339 (0.327) Data 0.001 (0.002) Loss 1.9452 (1.7478) Prec@1 48.438 (60.028) Prec@5 76.562 (81.575) Epoch: [52][1880/10010] Time 0.311 (0.327) Data 0.000 (0.002) Loss 1.8089 (1.7480) Prec@1 61.719 (60.027) Prec@5 78.906 (81.569) Epoch: [52][1890/10010] Time 0.333 (0.327) Data 0.001 (0.002) Loss 1.5306 (1.7480) Prec@1 63.281 (60.029) Prec@5 87.500 (81.564) Epoch: [52][1900/10010] Time 0.324 (0.327) Data 0.001 (0.002) Loss 1.4912 (1.7475) Prec@1 67.188 (60.030) Prec@5 84.375 (81.568) Epoch: [52][1910/10010] Time 0.339 (0.327) Data 0.000 (0.002) Loss 1.9630 (1.7479) Prec@1 55.469 (60.027) Prec@5 74.219 (81.559) Epoch: [52][1920/10010] Time 0.317 (0.327) Data 0.000 (0.002) Loss 1.8179 (1.7484) Prec@1 58.594 (60.025) Prec@5 77.344 (81.544) Epoch: [52][1930/10010] Time 0.317 (0.327) Data 0.001 (0.002) Loss 1.6838 (1.7481) Prec@1 59.375 (60.034) Prec@5 81.250 (81.549) Epoch: [52][1940/10010] Time 0.320 (0.327) Data 0.001 (0.002) Loss 1.4718 (1.7479) Prec@1 65.625 (60.039) Prec@5 86.719 (81.556) Epoch: [52][1950/10010] Time 0.316 (0.327) Data 0.000 (0.002) Loss 1.8790 (1.7480) Prec@1 53.906 (60.031) Prec@5 76.562 (81.552) Epoch: [52][1960/10010] Time 0.314 (0.327) Data 0.001 (0.002) Loss 1.9655 (1.7481) Prec@1 53.125 (60.026) Prec@5 76.562 (81.550) Epoch: [52][1970/10010] Time 0.316 (0.327) Data 0.000 (0.002) Loss 1.8585 (1.7481) Prec@1 60.938 (60.039) Prec@5 75.781 (81.545) Epoch: [52][1980/10010] Time 0.309 (0.327) Data 0.001 (0.002) Loss 1.9431 (1.7486) Prec@1 58.594 (60.032) Prec@5 74.219 (81.536) Epoch: [52][1990/10010] Time 0.320 (0.327) Data 0.000 (0.002) Loss 1.8083 (1.7491) Prec@1 57.812 (60.017) Prec@5 85.156 (81.531) Epoch: [52][2000/10010] Time 0.322 (0.327) Data 0.000 (0.002) Loss 1.3135 (1.7489) Prec@1 70.312 (60.023) Prec@5 89.844 (81.536) Epoch: [52][2010/10010] Time 0.331 (0.327) Data 0.000 (0.002) Loss 2.0190 (1.7490) Prec@1 55.469 (60.021) Prec@5 78.906 (81.535) Epoch: [52][2020/10010] Time 0.321 (0.327) Data 0.000 (0.002) Loss 1.6303 (1.7492) Prec@1 55.469 (60.016) Prec@5 83.594 (81.526) Epoch: [52][2030/10010] Time 0.339 (0.327) Data 0.000 (0.002) Loss 1.7913 (1.7494) Prec@1 53.125 (60.012) Prec@5 80.469 (81.523) Epoch: [52][2040/10010] Time 0.313 (0.327) Data 0.001 (0.002) Loss 1.8165 (1.7495) Prec@1 59.375 (60.007) Prec@5 82.031 (81.521) Epoch: [52][2050/10010] Time 0.320 (0.327) Data 0.000 (0.002) Loss 1.7307 (1.7493) Prec@1 59.375 (60.012) Prec@5 84.375 (81.527) Epoch: [52][2060/10010] Time 0.340 (0.327) Data 0.001 (0.002) Loss 2.0830 (1.7494) Prec@1 53.125 (60.011) Prec@5 78.906 (81.524) Epoch: [52][2070/10010] Time 0.321 (0.327) Data 0.000 (0.002) Loss 1.4987 (1.7496) Prec@1 67.188 (60.014) Prec@5 88.281 (81.526) Epoch: [52][2080/10010] Time 0.339 (0.327) Data 0.000 (0.002) Loss 1.5958 (1.7497) Prec@1 61.719 (60.012) Prec@5 85.156 (81.527) Epoch: [52][2090/10010] Time 0.322 (0.327) Data 0.000 (0.002) Loss 1.7469 (1.7494) Prec@1 61.719 (60.018) Prec@5 82.812 (81.526) Epoch: [52][2100/10010] Time 0.329 (0.327) Data 0.001 (0.002) Loss 2.0432 (1.7496) Prec@1 58.594 (60.015) Prec@5 75.000 (81.527) Epoch: [52][2110/10010] Time 0.323 (0.327) Data 0.000 (0.002) Loss 1.8883 (1.7495) Prec@1 60.156 (60.018) Prec@5 76.562 (81.527) Epoch: [52][2120/10010] Time 0.326 (0.326) Data 0.001 (0.002) Loss 1.2643 (1.7493) Prec@1 70.312 (60.021) Prec@5 86.719 (81.528) Epoch: [52][2130/10010] Time 0.319 (0.327) Data 0.001 (0.002) Loss 1.6801 (1.7493) Prec@1 63.281 (60.023) Prec@5 84.375 (81.526) Epoch: [52][2140/10010] Time 0.326 (0.327) Data 0.001 (0.002) Loss 1.9715 (1.7495) Prec@1 52.344 (60.016) Prec@5 76.562 (81.525) Epoch: [52][2150/10010] Time 0.341 (0.327) Data 0.001 (0.002) Loss 1.7265 (1.7496) Prec@1 57.812 (60.012) Prec@5 81.250 (81.524) Epoch: [52][2160/10010] Time 0.321 (0.327) Data 0.000 (0.002) Loss 1.6895 (1.7494) Prec@1 60.938 (60.014) Prec@5 82.031 (81.527) Epoch: [52][2170/10010] Time 0.317 (0.327) Data 0.000 (0.002) Loss 1.5740 (1.7493) Prec@1 64.844 (60.015) Prec@5 83.594 (81.529) Epoch: [52][2180/10010] Time 0.322 (0.327) Data 0.001 (0.002) Loss 2.0683 (1.7492) Prec@1 54.688 (60.013) Prec@5 77.344 (81.535) Epoch: [52][2190/10010] Time 0.334 (0.327) Data 0.001 (0.002) Loss 2.1371 (1.7495) Prec@1 53.906 (60.001) Prec@5 75.781 (81.528) Epoch: [52][2200/10010] Time 0.339 (0.327) Data 0.000 (0.002) Loss 1.6388 (1.7498) Prec@1 60.938 (59.992) Prec@5 82.812 (81.525) Epoch: [52][2210/10010] Time 0.332 (0.327) Data 0.001 (0.002) Loss 1.7146 (1.7503) Prec@1 64.844 (59.985) Prec@5 85.156 (81.515) Epoch: [52][2220/10010] Time 0.320 (0.327) Data 0.000 (0.002) Loss 1.7795 (1.7508) Prec@1 57.812 (59.975) Prec@5 82.031 (81.506) Epoch: [52][2230/10010] Time 0.323 (0.327) Data 0.001 (0.002) Loss 1.5647 (1.7509) Prec@1 64.844 (59.979) Prec@5 83.594 (81.504) Epoch: [52][2240/10010] Time 0.315 (0.327) Data 0.001 (0.002) Loss 1.8323 (1.7508) Prec@1 57.031 (59.982) Prec@5 80.469 (81.505) Epoch: [52][2250/10010] Time 0.317 (0.327) Data 0.000 (0.002) Loss 1.5990 (1.7511) Prec@1 67.188 (59.979) Prec@5 88.281 (81.505) Epoch: [52][2260/10010] Time 0.311 (0.327) Data 0.001 (0.002) Loss 1.8883 (1.7517) Prec@1 62.500 (59.979) Prec@5 78.125 (81.498) Epoch: [52][2270/10010] Time 0.323 (0.326) Data 0.000 (0.002) Loss 1.8849 (1.7515) Prec@1 56.250 (59.984) Prec@5 77.344 (81.498) Epoch: [52][2280/10010] Time 0.330 (0.326) Data 0.001 (0.002) Loss 1.9841 (1.7515) Prec@1 54.688 (59.991) Prec@5 77.344 (81.491) Epoch: [52][2290/10010] Time 0.320 (0.326) Data 0.001 (0.002) Loss 1.8097 (1.7518) Prec@1 56.250 (59.981) Prec@5 83.594 (81.485) Epoch: [52][2300/10010] Time 0.324 (0.326) Data 0.001 (0.002) Loss 1.8392 (1.7522) Prec@1 61.719 (59.974) Prec@5 78.906 (81.477) Epoch: [52][2310/10010] Time 0.320 (0.326) Data 0.001 (0.002) Loss 2.2768 (1.7524) Prec@1 50.781 (59.972) Prec@5 74.219 (81.472) Epoch: [52][2320/10010] Time 0.319 (0.326) Data 0.001 (0.002) Loss 1.7783 (1.7523) Prec@1 60.156 (59.980) Prec@5 81.250 (81.476) Epoch: [52][2330/10010] Time 0.334 (0.326) Data 0.001 (0.002) Loss 1.7841 (1.7524) Prec@1 56.250 (59.978) Prec@5 83.594 (81.477) Epoch: [52][2340/10010] Time 0.320 (0.326) Data 0.000 (0.002) Loss 1.6392 (1.7522) Prec@1 66.406 (59.984) Prec@5 85.938 (81.481) Epoch: [52][2350/10010] Time 0.316 (0.326) Data 0.000 (0.002) Loss 1.5752 (1.7524) Prec@1 60.156 (59.979) Prec@5 85.938 (81.479) Epoch: [52][2360/10010] Time 0.321 (0.326) Data 0.001 (0.002) Loss 1.9612 (1.7526) Prec@1 56.250 (59.977) Prec@5 79.688 (81.480) Epoch: [52][2370/10010] Time 0.313 (0.326) Data 0.000 (0.002) Loss 1.7020 (1.7526) Prec@1 61.719 (59.977) Prec@5 84.375 (81.483) Epoch: [52][2380/10010] Time 0.318 (0.326) Data 0.000 (0.002) Loss 1.5831 (1.7521) Prec@1 60.156 (59.981) Prec@5 86.719 (81.494) Epoch: [52][2390/10010] Time 0.333 (0.326) Data 0.000 (0.002) Loss 1.5172 (1.7523) Prec@1 64.062 (59.975) Prec@5 87.500 (81.492) Epoch: [52][2400/10010] Time 0.318 (0.326) Data 0.000 (0.002) Loss 1.6526 (1.7523) Prec@1 62.500 (59.977) Prec@5 83.594 (81.492) Epoch: [52][2410/10010] Time 0.330 (0.326) Data 0.000 (0.002) Loss 1.8840 (1.7526) Prec@1 58.594 (59.970) Prec@5 78.906 (81.490) Epoch: [52][2420/10010] Time 0.318 (0.326) Data 0.000 (0.002) Loss 1.5649 (1.7523) Prec@1 60.156 (59.975) Prec@5 83.594 (81.494) Epoch: [52][2430/10010] Time 0.319 (0.326) Data 0.000 (0.002) Loss 1.8047 (1.7526) Prec@1 63.281 (59.973) Prec@5 79.688 (81.492) Epoch: [52][2440/10010] Time 0.336 (0.326) Data 0.000 (0.002) Loss 1.7596 (1.7528) Prec@1 63.281 (59.977) Prec@5 79.688 (81.487) Epoch: [52][2450/10010] Time 0.311 (0.326) Data 0.000 (0.002) Loss 1.4852 (1.7527) Prec@1 65.625 (59.977) Prec@5 84.375 (81.491) Epoch: [52][2460/10010] Time 0.334 (0.326) Data 0.001 (0.002) Loss 1.7126 (1.7525) Prec@1 57.812 (59.981) Prec@5 88.281 (81.498) Epoch: [52][2470/10010] Time 0.317 (0.326) Data 0.001 (0.002) Loss 1.6651 (1.7526) Prec@1 61.719 (59.975) Prec@5 82.812 (81.498) Epoch: [52][2480/10010] Time 0.322 (0.326) Data 0.000 (0.002) Loss 1.6629 (1.7527) Prec@1 60.156 (59.972) Prec@5 82.031 (81.497) Epoch: [52][2490/10010] Time 0.319 (0.326) Data 0.000 (0.002) Loss 1.6536 (1.7524) Prec@1 61.719 (59.979) Prec@5 82.812 (81.503) Epoch: [52][2500/10010] Time 0.318 (0.326) Data 0.001 (0.002) Loss 1.9381 (1.7527) Prec@1 56.250 (59.974) Prec@5 78.906 (81.497) Epoch: [52][2510/10010] Time 0.315 (0.326) Data 0.001 (0.002) Loss 1.9546 (1.7529) Prec@1 60.938 (59.975) Prec@5 81.250 (81.495) Epoch: [52][2520/10010] Time 0.326 (0.326) Data 0.000 (0.002) Loss 1.8321 (1.7528) Prec@1 57.031 (59.983) Prec@5 82.812 (81.496) Epoch: [52][2530/10010] Time 0.320 (0.326) Data 0.000 (0.002) Loss 2.0625 (1.7533) Prec@1 56.250 (59.970) Prec@5 78.125 (81.487) Epoch: [52][2540/10010] Time 0.327 (0.326) Data 0.000 (0.002) Loss 1.8699 (1.7535) Prec@1 60.156 (59.962) Prec@5 78.906 (81.483) Epoch: [52][2550/10010] Time 0.343 (0.326) Data 0.001 (0.002) Loss 1.9078 (1.7538) Prec@1 55.469 (59.953) Prec@5 79.688 (81.484) Epoch: [52][2560/10010] Time 0.332 (0.326) Data 0.001 (0.002) Loss 1.8301 (1.7538) Prec@1 55.469 (59.954) Prec@5 84.375 (81.485) Epoch: [52][2570/10010] Time 0.324 (0.326) Data 0.001 (0.001) Loss 1.8147 (1.7542) Prec@1 60.938 (59.945) Prec@5 83.594 (81.483) Epoch: [52][2580/10010] Time 0.313 (0.326) Data 0.001 (0.001) Loss 1.4280 (1.7538) Prec@1 64.062 (59.954) Prec@5 82.031 (81.485) Epoch: [52][2590/10010] Time 0.339 (0.326) Data 0.001 (0.001) Loss 2.0063 (1.7542) Prec@1 57.031 (59.948) Prec@5 75.781 (81.476) Epoch: [52][2600/10010] Time 0.338 (0.326) Data 0.000 (0.001) Loss 1.9258 (1.7546) Prec@1 55.469 (59.940) Prec@5 77.344 (81.469) Epoch: [52][2610/10010] Time 0.329 (0.326) Data 0.000 (0.001) Loss 2.0044 (1.7551) Prec@1 57.031 (59.937) Prec@5 77.344 (81.464) Epoch: [52][2620/10010] Time 0.319 (0.326) Data 0.001 (0.001) Loss 1.8374 (1.7551) Prec@1 59.375 (59.939) Prec@5 80.469 (81.463) Epoch: [52][2630/10010] Time 0.320 (0.326) Data 0.001 (0.001) Loss 1.9587 (1.7552) Prec@1 54.688 (59.935) Prec@5 78.125 (81.461) Epoch: [52][2640/10010] Time 0.330 (0.326) Data 0.000 (0.001) Loss 1.7341 (1.7555) Prec@1 64.844 (59.933) Prec@5 82.031 (81.461) Epoch: [52][2650/10010] Time 0.338 (0.326) Data 0.001 (0.001) Loss 1.9665 (1.7556) Prec@1 53.125 (59.930) Prec@5 76.562 (81.458) Epoch: [52][2660/10010] Time 0.323 (0.326) Data 0.000 (0.001) Loss 2.0331 (1.7557) Prec@1 59.375 (59.930) Prec@5 75.000 (81.452) Epoch: [52][2670/10010] Time 0.333 (0.326) Data 0.001 (0.001) Loss 2.0412 (1.7558) Prec@1 53.906 (59.931) Prec@5 75.000 (81.449) Epoch: [52][2680/10010] Time 0.336 (0.326) Data 0.001 (0.001) Loss 1.6139 (1.7559) Prec@1 60.938 (59.929) Prec@5 82.812 (81.446) Epoch: [52][2690/10010] Time 0.331 (0.326) Data 0.001 (0.001) Loss 1.9520 (1.7560) Prec@1 58.594 (59.931) Prec@5 76.562 (81.440) Epoch: [52][2700/10010] Time 0.317 (0.326) Data 0.000 (0.001) Loss 2.1511 (1.7565) Prec@1 48.438 (59.918) Prec@5 73.438 (81.436) Epoch: [52][2710/10010] Time 0.339 (0.326) Data 0.001 (0.001) Loss 1.6197 (1.7564) Prec@1 62.500 (59.923) Prec@5 85.156 (81.438) Epoch: [52][2720/10010] Time 0.321 (0.326) Data 0.000 (0.001) Loss 1.7922 (1.7560) Prec@1 56.250 (59.934) Prec@5 82.812 (81.442) Epoch: [52][2730/10010] Time 0.319 (0.326) Data 0.001 (0.001) Loss 1.6589 (1.7558) Prec@1 58.594 (59.935) Prec@5 85.156 (81.445) Epoch: [52][2740/10010] Time 0.323 (0.326) Data 0.000 (0.001) Loss 1.8639 (1.7560) Prec@1 56.250 (59.927) Prec@5 78.125 (81.441) Epoch: [52][2750/10010] Time 0.321 (0.326) Data 0.001 (0.001) Loss 1.8349 (1.7561) Prec@1 60.938 (59.927) Prec@5 82.812 (81.439) Epoch: [52][2760/10010] Time 0.334 (0.326) Data 0.001 (0.001) Loss 1.7172 (1.7560) Prec@1 58.594 (59.924) Prec@5 81.250 (81.444) Epoch: [52][2770/10010] Time 0.319 (0.326) Data 0.001 (0.001) Loss 1.9118 (1.7564) Prec@1 60.156 (59.915) Prec@5 78.125 (81.439) Epoch: [52][2780/10010] Time 0.311 (0.326) Data 0.001 (0.001) Loss 2.0249 (1.7563) Prec@1 57.812 (59.916) Prec@5 75.781 (81.440) Epoch: [52][2790/10010] Time 0.335 (0.326) Data 0.001 (0.001) Loss 1.8275 (1.7561) Prec@1 57.031 (59.917) Prec@5 81.250 (81.441) Epoch: [52][2800/10010] Time 0.342 (0.326) Data 0.001 (0.001) Loss 1.9677 (1.7563) Prec@1 57.812 (59.921) Prec@5 82.031 (81.444) Epoch: [52][2810/10010] Time 0.340 (0.326) Data 0.001 (0.001) Loss 1.8103 (1.7566) Prec@1 57.812 (59.919) Prec@5 81.250 (81.439) Epoch: [52][2820/10010] Time 0.317 (0.326) Data 0.000 (0.001) Loss 1.9299 (1.7565) Prec@1 62.500 (59.925) Prec@5 79.688 (81.445) Epoch: [52][2830/10010] Time 0.330 (0.326) Data 0.001 (0.001) Loss 2.1230 (1.7570) Prec@1 52.344 (59.915) Prec@5 79.688 (81.440) Epoch: [52][2840/10010] Time 0.333 (0.326) Data 0.000 (0.001) Loss 1.5832 (1.7571) Prec@1 60.156 (59.913) Prec@5 89.062 (81.441) Epoch: [52][2850/10010] Time 0.316 (0.326) Data 0.001 (0.001) Loss 1.9444 (1.7573) Prec@1 51.562 (59.906) Prec@5 80.469 (81.438) Epoch: [52][2860/10010] Time 0.315 (0.326) Data 0.000 (0.001) Loss 1.9572 (1.7572) Prec@1 52.344 (59.906) Prec@5 75.781 (81.441) Epoch: [52][2870/10010] Time 0.335 (0.327) Data 0.000 (0.001) Loss 1.6246 (1.7573) Prec@1 63.281 (59.901) Prec@5 83.594 (81.442) Epoch: [52][2880/10010] Time 0.340 (0.327) Data 0.001 (0.001) Loss 1.5040 (1.7571) Prec@1 64.062 (59.902) Prec@5 85.938 (81.442) Epoch: [52][2890/10010] Time 0.317 (0.327) Data 0.000 (0.001) Loss 1.9395 (1.7574) Prec@1 56.250 (59.900) Prec@5 78.906 (81.436) Epoch: [52][2900/10010] Time 0.338 (0.327) Data 0.000 (0.001) Loss 1.4317 (1.7571) Prec@1 64.062 (59.907) Prec@5 87.500 (81.440) Epoch: [52][2910/10010] Time 0.335 (0.327) Data 0.000 (0.001) Loss 1.7681 (1.7570) Prec@1 59.375 (59.906) Prec@5 82.812 (81.441) Epoch: [52][2920/10010] Time 0.335 (0.327) Data 0.000 (0.001) Loss 1.7243 (1.7569) Prec@1 59.375 (59.906) Prec@5 81.250 (81.440) Epoch: [52][2930/10010] Time 0.316 (0.327) Data 0.000 (0.001) Loss 1.6677 (1.7570) Prec@1 61.719 (59.900) Prec@5 79.688 (81.440) Epoch: [52][2940/10010] Time 0.340 (0.327) Data 0.001 (0.001) Loss 2.0614 (1.7572) Prec@1 51.562 (59.895) Prec@5 75.000 (81.437) Epoch: [52][2950/10010] Time 0.345 (0.327) Data 0.000 (0.001) Loss 1.7173 (1.7571) Prec@1 57.812 (59.897) Prec@5 85.938 (81.440) Epoch: [52][2960/10010] Time 0.328 (0.327) Data 0.001 (0.001) Loss 2.0698 (1.7571) Prec@1 55.469 (59.900) Prec@5 75.000 (81.437) Epoch: [52][2970/10010] Time 0.316 (0.327) Data 0.000 (0.001) Loss 1.6898 (1.7570) Prec@1 62.500 (59.899) Prec@5 79.688 (81.434) Epoch: [52][2980/10010] Time 0.306 (0.327) Data 0.000 (0.001) Loss 1.8929 (1.7572) Prec@1 57.812 (59.895) Prec@5 80.469 (81.433) Epoch: [52][2990/10010] Time 0.330 (0.327) Data 0.000 (0.001) Loss 1.6423 (1.7573) Prec@1 60.156 (59.889) Prec@5 85.156 (81.432) Epoch: [52][3000/10010] Time 0.329 (0.327) Data 0.001 (0.001) Loss 1.6649 (1.7572) Prec@1 64.844 (59.893) Prec@5 83.594 (81.437) Epoch: [52][3010/10010] Time 0.320 (0.327) Data 0.001 (0.001) Loss 1.6241 (1.7572) Prec@1 56.250 (59.888) Prec@5 83.594 (81.436) Epoch: [52][3020/10010] Time 0.333 (0.327) Data 0.000 (0.001) Loss 1.5484 (1.7574) Prec@1 64.844 (59.884) Prec@5 83.594 (81.437) Epoch: [52][3030/10010] Time 0.319 (0.327) Data 0.001 (0.001) Loss 1.8490 (1.7573) Prec@1 57.812 (59.883) Prec@5 79.688 (81.438) Epoch: [52][3040/10010] Time 0.340 (0.327) Data 0.001 (0.001) Loss 1.9571 (1.7573) Prec@1 55.469 (59.885) Prec@5 78.906 (81.439) Epoch: [52][3050/10010] Time 0.338 (0.327) Data 0.001 (0.001) Loss 1.7574 (1.7573) Prec@1 56.250 (59.884) Prec@5 84.375 (81.440) Epoch: [52][3060/10010] Time 0.333 (0.327) Data 0.001 (0.001) Loss 1.6355 (1.7576) Prec@1 60.156 (59.875) Prec@5 85.156 (81.437) Epoch: [52][3070/10010] Time 0.341 (0.327) Data 0.000 (0.001) Loss 1.8412 (1.7576) Prec@1 60.156 (59.877) Prec@5 81.250 (81.438) Epoch: [52][3080/10010] Time 0.335 (0.327) Data 0.001 (0.001) Loss 1.6857 (1.7575) Prec@1 62.500 (59.878) Prec@5 81.250 (81.440) Epoch: [52][3090/10010] Time 0.331 (0.327) Data 0.001 (0.001) Loss 1.7577 (1.7574) Prec@1 64.062 (59.880) Prec@5 83.594 (81.445) Epoch: [52][3100/10010] Time 0.332 (0.327) Data 0.001 (0.001) Loss 1.6740 (1.7576) Prec@1 63.281 (59.877) Prec@5 82.812 (81.445) Epoch: [52][3110/10010] Time 0.339 (0.327) Data 0.000 (0.001) Loss 1.5305 (1.7575) Prec@1 61.719 (59.880) Prec@5 83.594 (81.445) Epoch: [52][3120/10010] Time 0.333 (0.327) Data 0.001 (0.001) Loss 1.7173 (1.7574) Prec@1 60.938 (59.885) Prec@5 80.469 (81.448) Epoch: [52][3130/10010] Time 0.319 (0.327) Data 0.001 (0.001) Loss 1.9075 (1.7577) Prec@1 57.031 (59.879) Prec@5 75.781 (81.438) Epoch: [52][3140/10010] Time 0.336 (0.327) Data 0.001 (0.001) Loss 1.4508 (1.7576) Prec@1 60.156 (59.880) Prec@5 84.375 (81.440) Epoch: [52][3150/10010] Time 0.326 (0.327) Data 0.001 (0.001) Loss 1.6632 (1.7579) Prec@1 57.031 (59.869) Prec@5 80.469 (81.436) Epoch: [52][3160/10010] Time 0.338 (0.327) Data 0.001 (0.001) Loss 1.8735 (1.7580) Prec@1 57.031 (59.868) Prec@5 77.344 (81.431) Epoch: [52][3170/10010] Time 0.340 (0.327) Data 0.001 (0.001) Loss 1.5023 (1.7578) Prec@1 66.406 (59.870) Prec@5 85.938 (81.437) Epoch: [52][3180/10010] Time 0.313 (0.327) Data 0.001 (0.001) Loss 1.8606 (1.7581) Prec@1 57.031 (59.868) Prec@5 82.031 (81.432) Epoch: [52][3190/10010] Time 0.338 (0.327) Data 0.001 (0.001) Loss 1.8474 (1.7579) Prec@1 60.938 (59.872) Prec@5 83.594 (81.434) Epoch: [52][3200/10010] Time 0.340 (0.327) Data 0.000 (0.001) Loss 1.6488 (1.7579) Prec@1 60.938 (59.876) Prec@5 82.031 (81.436) Epoch: [52][3210/10010] Time 0.321 (0.327) Data 0.000 (0.001) Loss 1.8432 (1.7577) Prec@1 58.594 (59.876) Prec@5 81.250 (81.440) Epoch: [52][3220/10010] Time 0.333 (0.327) Data 0.001 (0.001) Loss 1.9377 (1.7575) Prec@1 58.594 (59.883) Prec@5 78.906 (81.445) Epoch: [52][3230/10010] Time 0.313 (0.327) Data 0.001 (0.001) Loss 1.8303 (1.7578) Prec@1 57.031 (59.881) Prec@5 76.562 (81.438) Epoch: [52][3240/10010] Time 0.326 (0.327) Data 0.000 (0.001) Loss 1.6116 (1.7580) Prec@1 58.594 (59.874) Prec@5 82.812 (81.433) Epoch: [52][3250/10010] Time 0.323 (0.327) Data 0.001 (0.001) Loss 1.6894 (1.7579) Prec@1 60.938 (59.873) Prec@5 85.938 (81.441) Epoch: [52][3260/10010] Time 0.320 (0.327) Data 0.001 (0.001) Loss 1.9648 (1.7579) Prec@1 59.375 (59.872) Prec@5 80.469 (81.438) Epoch: [52][3270/10010] Time 0.336 (0.327) Data 0.000 (0.001) Loss 2.0421 (1.7583) Prec@1 57.812 (59.869) Prec@5 75.781 (81.430) Epoch: [52][3280/10010] Time 0.335 (0.327) Data 0.001 (0.001) Loss 1.7181 (1.7584) Prec@1 62.500 (59.869) Prec@5 82.812 (81.430) Epoch: [52][3290/10010] Time 0.341 (0.327) Data 0.000 (0.001) Loss 1.7317 (1.7586) Prec@1 60.156 (59.872) Prec@5 79.688 (81.428) Epoch: [52][3300/10010] Time 0.326 (0.327) Data 0.001 (0.001) Loss 1.6965 (1.7584) Prec@1 60.938 (59.870) Prec@5 83.594 (81.431) Epoch: [52][3310/10010] Time 0.306 (0.327) Data 0.001 (0.001) Loss 1.9308 (1.7583) Prec@1 59.375 (59.871) Prec@5 80.469 (81.437) Epoch: [52][3320/10010] Time 0.336 (0.327) Data 0.000 (0.001) Loss 1.9077 (1.7583) Prec@1 57.031 (59.867) Prec@5 80.469 (81.436) Epoch: [52][3330/10010] Time 0.328 (0.327) Data 0.000 (0.001) Loss 2.0550 (1.7583) Prec@1 56.250 (59.864) Prec@5 75.000 (81.434) Epoch: [52][3340/10010] Time 0.318 (0.327) Data 0.001 (0.001) Loss 2.1677 (1.7587) Prec@1 51.562 (59.857) Prec@5 78.125 (81.433) Epoch: [52][3350/10010] Time 0.315 (0.327) Data 0.000 (0.001) Loss 1.9498 (1.7586) Prec@1 60.156 (59.862) Prec@5 77.344 (81.434) Epoch: [52][3360/10010] Time 0.337 (0.327) Data 0.000 (0.001) Loss 1.7576 (1.7587) Prec@1 65.625 (59.864) Prec@5 79.688 (81.431) Epoch: [52][3370/10010] Time 0.327 (0.327) Data 0.000 (0.001) Loss 1.6895 (1.7587) Prec@1 64.062 (59.869) Prec@5 81.250 (81.433) Epoch: [52][3380/10010] Time 0.318 (0.327) Data 0.000 (0.001) Loss 1.8643 (1.7589) Prec@1 60.938 (59.871) Prec@5 79.688 (81.431) Epoch: [52][3390/10010] Time 0.330 (0.327) Data 0.000 (0.001) Loss 1.6614 (1.7588) Prec@1 60.156 (59.871) Prec@5 85.156 (81.434) Epoch: [52][3400/10010] Time 0.319 (0.327) Data 0.000 (0.001) Loss 1.7728 (1.7591) Prec@1 59.375 (59.865) Prec@5 83.594 (81.430) Epoch: [52][3410/10010] Time 0.314 (0.327) Data 0.001 (0.001) Loss 1.9171 (1.7591) Prec@1 54.688 (59.866) Prec@5 78.125 (81.431) Epoch: [52][3420/10010] Time 0.330 (0.327) Data 0.001 (0.001) Loss 1.7953 (1.7591) Prec@1 58.594 (59.866) Prec@5 82.812 (81.431) Epoch: [52][3430/10010] Time 0.315 (0.327) Data 0.001 (0.001) Loss 1.6282 (1.7592) Prec@1 63.281 (59.863) Prec@5 88.281 (81.429) Epoch: [52][3440/10010] Time 0.318 (0.327) Data 0.001 (0.001) Loss 1.6891 (1.7588) Prec@1 64.844 (59.869) Prec@5 82.812 (81.434) Epoch: [52][3450/10010] Time 0.326 (0.327) Data 0.001 (0.001) Loss 1.8505 (1.7587) Prec@1 58.594 (59.872) Prec@5 74.219 (81.435) Epoch: [52][3460/10010] Time 0.329 (0.327) Data 0.000 (0.001) Loss 1.6526 (1.7586) Prec@1 58.594 (59.878) Prec@5 83.594 (81.436) Epoch: [52][3470/10010] Time 0.326 (0.327) Data 0.001 (0.001) Loss 1.9537 (1.7587) Prec@1 58.594 (59.881) Prec@5 78.125 (81.435) Epoch: [52][3480/10010] Time 0.334 (0.327) Data 0.001 (0.001) Loss 1.4947 (1.7588) Prec@1 65.625 (59.881) Prec@5 85.156 (81.432) Epoch: [52][3490/10010] Time 0.317 (0.327) Data 0.001 (0.001) Loss 1.7997 (1.7586) Prec@1 64.062 (59.883) Prec@5 78.906 (81.434) Epoch: [52][3500/10010] Time 0.328 (0.327) Data 0.001 (0.001) Loss 1.7857 (1.7587) Prec@1 58.594 (59.882) Prec@5 82.812 (81.433) Epoch: [52][3510/10010] Time 0.333 (0.327) Data 0.001 (0.001) Loss 1.9000 (1.7587) Prec@1 56.250 (59.883) Prec@5 81.250 (81.434) Epoch: [52][3520/10010] Time 0.314 (0.327) Data 0.000 (0.001) Loss 1.6883 (1.7585) Prec@1 57.812 (59.883) Prec@5 84.375 (81.436) Epoch: [52][3530/10010] Time 0.310 (0.327) Data 0.000 (0.001) Loss 1.8088 (1.7588) Prec@1 58.594 (59.876) Prec@5 84.375 (81.434) Epoch: [52][3540/10010] Time 0.337 (0.327) Data 0.000 (0.001) Loss 1.9674 (1.7590) Prec@1 56.250 (59.873) Prec@5 77.344 (81.432) Epoch: [52][3550/10010] Time 0.321 (0.327) Data 0.000 (0.001) Loss 1.3480 (1.7588) Prec@1 67.188 (59.875) Prec@5 85.938 (81.433) Epoch: [52][3560/10010] Time 0.315 (0.327) Data 0.001 (0.001) Loss 1.4517 (1.7588) Prec@1 72.656 (59.881) Prec@5 84.375 (81.432) Epoch: [52][3570/10010] Time 0.327 (0.327) Data 0.001 (0.001) Loss 1.8176 (1.7589) Prec@1 54.688 (59.880) Prec@5 82.031 (81.432) Epoch: [52][3580/10010] Time 0.318 (0.327) Data 0.001 (0.001) Loss 1.6799 (1.7587) Prec@1 63.281 (59.879) Prec@5 84.375 (81.435) Epoch: [52][3590/10010] Time 0.321 (0.327) Data 0.000 (0.001) Loss 1.6162 (1.7587) Prec@1 65.625 (59.880) Prec@5 85.156 (81.436) Epoch: [52][3600/10010] Time 0.324 (0.327) Data 0.001 (0.001) Loss 1.5585 (1.7587) Prec@1 67.969 (59.881) Prec@5 88.281 (81.438) Epoch: [52][3610/10010] Time 0.314 (0.327) Data 0.001 (0.001) Loss 1.6546 (1.7588) Prec@1 60.156 (59.877) Prec@5 82.812 (81.437) Epoch: [52][3620/10010] Time 0.337 (0.327) Data 0.001 (0.001) Loss 1.9053 (1.7591) Prec@1 56.250 (59.876) Prec@5 78.906 (81.431) Epoch: [52][3630/10010] Time 0.323 (0.327) Data 0.001 (0.001) Loss 1.6721 (1.7590) Prec@1 62.500 (59.874) Prec@5 82.812 (81.433) Epoch: [52][3640/10010] Time 0.331 (0.327) Data 0.001 (0.001) Loss 1.5954 (1.7590) Prec@1 60.938 (59.876) Prec@5 83.594 (81.432) Epoch: [52][3650/10010] Time 0.333 (0.327) Data 0.001 (0.001) Loss 1.8956 (1.7590) Prec@1 53.906 (59.876) Prec@5 75.781 (81.430) Epoch: [52][3660/10010] Time 0.329 (0.327) Data 0.000 (0.001) Loss 1.5801 (1.7591) Prec@1 64.062 (59.875) Prec@5 83.594 (81.428) Epoch: [52][3670/10010] Time 0.324 (0.327) Data 0.001 (0.001) Loss 1.9258 (1.7592) Prec@1 58.594 (59.873) Prec@5 78.906 (81.425) Epoch: [52][3680/10010] Time 0.334 (0.327) Data 0.001 (0.001) Loss 1.8190 (1.7594) Prec@1 58.594 (59.872) Prec@5 77.344 (81.420) Epoch: [52][3690/10010] Time 0.322 (0.327) Data 0.001 (0.001) Loss 1.7827 (1.7592) Prec@1 59.375 (59.877) Prec@5 78.906 (81.423) Epoch: [52][3700/10010] Time 0.313 (0.327) Data 0.000 (0.001) Loss 1.8081 (1.7593) Prec@1 57.812 (59.874) Prec@5 82.031 (81.422) Epoch: [52][3710/10010] Time 0.318 (0.327) Data 0.000 (0.001) Loss 1.9258 (1.7594) Prec@1 52.344 (59.870) Prec@5 79.688 (81.419) Epoch: [52][3720/10010] Time 0.335 (0.327) Data 0.001 (0.001) Loss 1.7083 (1.7594) Prec@1 60.938 (59.870) Prec@5 83.594 (81.419) Epoch: [52][3730/10010] Time 0.340 (0.327) Data 0.001 (0.001) Loss 1.7793 (1.7595) Prec@1 60.938 (59.865) Prec@5 78.125 (81.417) Epoch: [52][3740/10010] Time 0.335 (0.327) Data 0.001 (0.001) Loss 1.5631 (1.7596) Prec@1 64.062 (59.863) Prec@5 82.031 (81.417) Epoch: [52][3750/10010] Time 0.321 (0.327) Data 0.001 (0.001) Loss 1.9225 (1.7597) Prec@1 55.469 (59.860) Prec@5 80.469 (81.418) Epoch: [52][3760/10010] Time 0.324 (0.327) Data 0.001 (0.001) Loss 2.2117 (1.7596) Prec@1 53.906 (59.861) Prec@5 72.656 (81.418) Epoch: [52][3770/10010] Time 0.334 (0.327) Data 0.001 (0.001) Loss 1.9159 (1.7599) Prec@1 54.688 (59.855) Prec@5 78.125 (81.412) Epoch: [52][3780/10010] Time 0.338 (0.327) Data 0.000 (0.001) Loss 2.1001 (1.7600) Prec@1 54.688 (59.857) Prec@5 75.781 (81.407) Epoch: [52][3790/10010] Time 0.343 (0.327) Data 0.000 (0.001) Loss 1.9146 (1.7601) Prec@1 60.156 (59.858) Prec@5 78.906 (81.404) Epoch: [52][3800/10010] Time 0.326 (0.327) Data 0.001 (0.001) Loss 1.5807 (1.7598) Prec@1 64.844 (59.862) Prec@5 82.031 (81.409) Epoch: [52][3810/10010] Time 0.332 (0.327) Data 0.001 (0.001) Loss 1.8168 (1.7599) Prec@1 57.812 (59.858) Prec@5 80.469 (81.408) Epoch: [52][3820/10010] Time 0.334 (0.327) Data 0.000 (0.001) Loss 1.7942 (1.7600) Prec@1 60.156 (59.858) Prec@5 82.812 (81.408) Epoch: [52][3830/10010] Time 0.328 (0.327) Data 0.001 (0.001) Loss 1.8561 (1.7603) Prec@1 56.250 (59.853) Prec@5 77.344 (81.404) Epoch: [52][3840/10010] Time 0.318 (0.327) Data 0.001 (0.001) Loss 1.8111 (1.7605) Prec@1 57.031 (59.848) Prec@5 78.125 (81.404) Epoch: [52][3850/10010] Time 0.338 (0.327) Data 0.001 (0.001) Loss 1.6481 (1.7606) Prec@1 67.188 (59.845) Prec@5 83.594 (81.404) Epoch: [52][3860/10010] Time 0.321 (0.327) Data 0.000 (0.001) Loss 1.8941 (1.7606) Prec@1 58.594 (59.842) Prec@5 82.031 (81.405) Epoch: [52][3870/10010] Time 0.330 (0.327) Data 0.001 (0.001) Loss 1.4452 (1.7608) Prec@1 64.844 (59.838) Prec@5 86.719 (81.402) Epoch: [52][3880/10010] Time 0.335 (0.327) Data 0.001 (0.001) Loss 1.7307 (1.7609) Prec@1 58.594 (59.838) Prec@5 82.031 (81.402) Epoch: [52][3890/10010] Time 0.329 (0.327) Data 0.001 (0.001) Loss 1.8385 (1.7609) Prec@1 65.625 (59.838) Prec@5 83.594 (81.404) Epoch: [52][3900/10010] Time 0.336 (0.327) Data 0.000 (0.001) Loss 1.5099 (1.7609) Prec@1 64.844 (59.840) Prec@5 85.156 (81.405) Epoch: [52][3910/10010] Time 0.339 (0.327) Data 0.001 (0.001) Loss 1.9868 (1.7606) Prec@1 56.250 (59.846) Prec@5 75.781 (81.409) Epoch: [52][3920/10010] Time 0.317 (0.327) Data 0.001 (0.001) Loss 1.8596 (1.7609) Prec@1 57.031 (59.842) Prec@5 78.125 (81.404) Epoch: [52][3930/10010] Time 0.317 (0.327) Data 0.001 (0.001) Loss 1.6446 (1.7609) Prec@1 59.375 (59.841) Prec@5 82.031 (81.405) Epoch: [52][3940/10010] Time 0.331 (0.327) Data 0.001 (0.001) Loss 1.5864 (1.7610) Prec@1 64.062 (59.837) Prec@5 85.938 (81.405) Epoch: [52][3950/10010] Time 0.318 (0.327) Data 0.001 (0.001) Loss 1.9071 (1.7613) Prec@1 57.812 (59.835) Prec@5 77.344 (81.398) Epoch: [52][3960/10010] Time 0.315 (0.327) Data 0.001 (0.001) Loss 1.9370 (1.7614) Prec@1 60.938 (59.831) Prec@5 78.125 (81.399) Epoch: [52][3970/10010] Time 0.329 (0.327) Data 0.000 (0.001) Loss 1.7722 (1.7615) Prec@1 56.250 (59.828) Prec@5 82.031 (81.397) Epoch: [52][3980/10010] Time 0.322 (0.327) Data 0.000 (0.001) Loss 1.9118 (1.7614) Prec@1 57.812 (59.830) Prec@5 78.906 (81.399) Epoch: [52][3990/10010] Time 0.334 (0.327) Data 0.001 (0.001) Loss 2.0082 (1.7614) Prec@1 53.906 (59.829) Prec@5 78.125 (81.399) Epoch: [52][4000/10010] Time 0.340 (0.327) Data 0.001 (0.001) Loss 1.8736 (1.7615) Prec@1 56.250 (59.826) Prec@5 78.906 (81.394) Epoch: [52][4010/10010] Time 0.326 (0.327) Data 0.000 (0.001) Loss 2.0039 (1.7616) Prec@1 57.812 (59.826) Prec@5 76.562 (81.394) Epoch: [52][4020/10010] Time 0.342 (0.327) Data 0.000 (0.001) Loss 1.8183 (1.7617) Prec@1 61.719 (59.825) Prec@5 82.031 (81.395) Epoch: [52][4030/10010] Time 0.334 (0.327) Data 0.001 (0.001) Loss 1.9054 (1.7618) Prec@1 54.688 (59.823) Prec@5 80.469 (81.394) Epoch: [52][4040/10010] Time 0.335 (0.327) Data 0.001 (0.001) Loss 1.5462 (1.7617) Prec@1 63.281 (59.827) Prec@5 85.938 (81.396) Epoch: [52][4050/10010] Time 0.321 (0.327) Data 0.001 (0.001) Loss 1.9504 (1.7618) Prec@1 59.375 (59.825) Prec@5 77.344 (81.394) Epoch: [52][4060/10010] Time 0.326 (0.327) Data 0.000 (0.001) Loss 1.8561 (1.7621) Prec@1 60.156 (59.823) Prec@5 81.250 (81.393) Epoch: [52][4070/10010] Time 0.338 (0.327) Data 0.001 (0.001) Loss 1.8964 (1.7620) Prec@1 60.938 (59.824) Prec@5 82.812 (81.398) Epoch: [52][4080/10010] Time 0.333 (0.327) Data 0.001 (0.001) Loss 1.8014 (1.7621) Prec@1 58.594 (59.822) Prec@5 76.562 (81.395) Epoch: [52][4090/10010] Time 0.326 (0.327) Data 0.001 (0.001) Loss 1.8473 (1.7622) Prec@1 57.031 (59.815) Prec@5 82.812 (81.395) Epoch: [52][4100/10010] Time 0.333 (0.327) Data 0.001 (0.001) Loss 1.7596 (1.7623) Prec@1 62.500 (59.811) Prec@5 80.469 (81.393) Epoch: [52][4110/10010] Time 0.334 (0.327) Data 0.001 (0.001) Loss 1.6610 (1.7623) Prec@1 60.156 (59.812) Prec@5 82.812 (81.394) Epoch: [52][4120/10010] Time 0.338 (0.327) Data 0.001 (0.001) Loss 1.8837 (1.7623) Prec@1 53.906 (59.810) Prec@5 78.125 (81.392) Epoch: [52][4130/10010] Time 0.320 (0.327) Data 0.000 (0.001) Loss 1.8898 (1.7621) Prec@1 58.594 (59.809) Prec@5 78.125 (81.396) Epoch: [52][4140/10010] Time 0.341 (0.327) Data 0.001 (0.001) Loss 2.0760 (1.7623) Prec@1 52.344 (59.805) Prec@5 73.438 (81.393) Epoch: [52][4150/10010] Time 0.314 (0.327) Data 0.001 (0.001) Loss 1.5863 (1.7622) Prec@1 60.156 (59.806) Prec@5 83.594 (81.393) Epoch: [52][4160/10010] Time 0.342 (0.327) Data 0.001 (0.001) Loss 1.6416 (1.7620) Prec@1 64.062 (59.811) Prec@5 82.031 (81.393) Epoch: [52][4170/10010] Time 0.317 (0.327) Data 0.001 (0.001) Loss 1.8817 (1.7621) Prec@1 60.938 (59.812) Prec@5 80.469 (81.390) Epoch: [52][4180/10010] Time 0.333 (0.327) Data 0.000 (0.001) Loss 1.5092 (1.7622) Prec@1 57.812 (59.810) Prec@5 85.938 (81.391) Epoch: [52][4190/10010] Time 0.327 (0.327) Data 0.000 (0.001) Loss 2.0259 (1.7622) Prec@1 54.688 (59.807) Prec@5 75.781 (81.393) Epoch: [52][4200/10010] Time 0.323 (0.327) Data 0.001 (0.001) Loss 1.7980 (1.7624) Prec@1 56.250 (59.803) Prec@5 80.469 (81.388) Epoch: [52][4210/10010] Time 0.339 (0.327) Data 0.000 (0.001) Loss 1.9929 (1.7624) Prec@1 50.781 (59.801) Prec@5 79.688 (81.388) Epoch: [52][4220/10010] Time 0.337 (0.327) Data 0.001 (0.001) Loss 1.8001 (1.7626) Prec@1 56.250 (59.796) Prec@5 79.688 (81.383) Epoch: [52][4230/10010] Time 0.336 (0.327) Data 0.001 (0.001) Loss 1.7588 (1.7626) Prec@1 55.469 (59.800) Prec@5 81.250 (81.385) Epoch: [52][4240/10010] Time 0.341 (0.327) Data 0.001 (0.001) Loss 1.6373 (1.7626) Prec@1 60.938 (59.802) Prec@5 80.469 (81.384) Epoch: [52][4250/10010] Time 0.318 (0.327) Data 0.001 (0.001) Loss 2.0242 (1.7628) Prec@1 56.250 (59.799) Prec@5 78.125 (81.382) Epoch: [52][4260/10010] Time 0.316 (0.327) Data 0.001 (0.001) Loss 1.7101 (1.7626) Prec@1 63.281 (59.803) Prec@5 80.469 (81.384) Epoch: [52][4270/10010] Time 0.338 (0.327) Data 0.001 (0.001) Loss 1.5626 (1.7625) Prec@1 60.156 (59.807) Prec@5 85.938 (81.387) Epoch: [52][4280/10010] Time 0.320 (0.327) Data 0.001 (0.001) Loss 1.9925 (1.7627) Prec@1 58.594 (59.803) Prec@5 75.781 (81.386) Epoch: [52][4290/10010] Time 0.333 (0.327) Data 0.001 (0.001) Loss 1.9967 (1.7627) Prec@1 57.812 (59.802) Prec@5 72.656 (81.385) Epoch: [52][4300/10010] Time 0.333 (0.327) Data 0.001 (0.001) Loss 1.5464 (1.7627) Prec@1 59.375 (59.801) Prec@5 84.375 (81.387) Epoch: [52][4310/10010] Time 0.330 (0.327) Data 0.000 (0.001) Loss 1.6420 (1.7630) Prec@1 66.406 (59.797) Prec@5 84.375 (81.383) Epoch: [52][4320/10010] Time 0.324 (0.327) Data 0.001 (0.001) Loss 2.0360 (1.7631) Prec@1 55.469 (59.792) Prec@5 78.906 (81.381) Epoch: [52][4330/10010] Time 0.335 (0.327) Data 0.001 (0.001) Loss 1.7487 (1.7631) Prec@1 60.938 (59.794) Prec@5 82.812 (81.381) Epoch: [52][4340/10010] Time 0.321 (0.327) Data 0.001 (0.001) Loss 1.6992 (1.7632) Prec@1 62.500 (59.793) Prec@5 81.250 (81.378) Epoch: [52][4350/10010] Time 0.325 (0.327) Data 0.001 (0.001) Loss 1.5812 (1.7631) Prec@1 60.938 (59.795) Prec@5 84.375 (81.378) Epoch: [52][4360/10010] Time 0.328 (0.327) Data 0.001 (0.001) Loss 2.1578 (1.7630) Prec@1 49.219 (59.793) Prec@5 72.656 (81.378) Epoch: [52][4370/10010] Time 0.316 (0.327) Data 0.001 (0.001) Loss 1.5697 (1.7631) Prec@1 60.156 (59.788) Prec@5 83.594 (81.377) Epoch: [52][4380/10010] Time 0.325 (0.327) Data 0.000 (0.001) Loss 1.9428 (1.7631) Prec@1 53.906 (59.785) Prec@5 83.594 (81.379) Epoch: [52][4390/10010] Time 0.324 (0.327) Data 0.001 (0.001) Loss 1.9011 (1.7629) Prec@1 57.031 (59.788) Prec@5 78.125 (81.381) Epoch: [52][4400/10010] Time 0.320 (0.327) Data 0.001 (0.001) Loss 1.8055 (1.7629) Prec@1 61.719 (59.790) Prec@5 79.688 (81.382) Epoch: [52][4410/10010] Time 0.317 (0.327) Data 0.001 (0.001) Loss 1.9335 (1.7630) Prec@1 56.250 (59.789) Prec@5 77.344 (81.381) Epoch: [52][4420/10010] Time 0.327 (0.327) Data 0.001 (0.001) Loss 1.7061 (1.7631) Prec@1 59.375 (59.787) Prec@5 79.688 (81.380) Epoch: [52][4430/10010] Time 0.333 (0.327) Data 0.001 (0.001) Loss 1.9681 (1.7631) Prec@1 55.469 (59.789) Prec@5 80.469 (81.381) Epoch: [52][4440/10010] Time 0.321 (0.327) Data 0.001 (0.001) Loss 1.6244 (1.7630) Prec@1 62.500 (59.791) Prec@5 86.719 (81.383) Epoch: [52][4450/10010] Time 0.326 (0.327) Data 0.001 (0.001) Loss 2.1390 (1.7630) Prec@1 52.344 (59.791) Prec@5 78.906 (81.385) Epoch: [52][4460/10010] Time 0.322 (0.327) Data 0.001 (0.001) Loss 1.9686 (1.7629) Prec@1 57.031 (59.793) Prec@5 76.562 (81.385) Epoch: [52][4470/10010] Time 0.316 (0.327) Data 0.001 (0.001) Loss 1.6986 (1.7627) Prec@1 55.469 (59.792) Prec@5 79.688 (81.387) Epoch: [52][4480/10010] Time 0.322 (0.327) Data 0.001 (0.001) Loss 1.6652 (1.7627) Prec@1 60.938 (59.793) Prec@5 81.250 (81.391) Epoch: [52][4490/10010] Time 0.320 (0.327) Data 0.001 (0.001) Loss 1.8751 (1.7625) Prec@1 61.719 (59.795) Prec@5 78.125 (81.395) Epoch: [52][4500/10010] Time 0.316 (0.327) Data 0.000 (0.001) Loss 1.9068 (1.7627) Prec@1 52.344 (59.790) Prec@5 83.594 (81.395) Epoch: [52][4510/10010] Time 0.325 (0.327) Data 0.000 (0.001) Loss 1.7866 (1.7626) Prec@1 60.156 (59.793) Prec@5 82.031 (81.397) Epoch: [52][4520/10010] Time 0.319 (0.327) Data 0.001 (0.001) Loss 1.9227 (1.7626) Prec@1 56.250 (59.791) Prec@5 78.906 (81.398) Epoch: [52][4530/10010] Time 0.336 (0.327) Data 0.001 (0.001) Loss 2.3436 (1.7627) Prec@1 49.219 (59.790) Prec@5 71.094 (81.395) Epoch: [52][4540/10010] Time 0.329 (0.327) Data 0.000 (0.001) Loss 1.5502 (1.7628) Prec@1 60.938 (59.787) Prec@5 85.156 (81.394) Epoch: [52][4550/10010] Time 0.314 (0.327) Data 0.000 (0.001) Loss 1.7177 (1.7626) Prec@1 60.156 (59.791) Prec@5 79.688 (81.398) Epoch: [52][4560/10010] Time 0.317 (0.327) Data 0.001 (0.001) Loss 1.5551 (1.7626) Prec@1 67.188 (59.794) Prec@5 83.594 (81.399) Epoch: [52][4570/10010] Time 0.315 (0.327) Data 0.001 (0.001) Loss 1.5959 (1.7626) Prec@1 63.281 (59.796) Prec@5 83.594 (81.399) Epoch: [52][4580/10010] Time 0.323 (0.327) Data 0.000 (0.001) Loss 1.8932 (1.7627) Prec@1 52.344 (59.795) Prec@5 80.469 (81.396) Epoch: [52][4590/10010] Time 0.323 (0.327) Data 0.000 (0.001) Loss 1.7292 (1.7628) Prec@1 58.594 (59.792) Prec@5 82.031 (81.392) Epoch: [52][4600/10010] Time 0.315 (0.327) Data 0.001 (0.001) Loss 1.7017 (1.7629) Prec@1 60.938 (59.789) Prec@5 82.031 (81.389) Epoch: [52][4610/10010] Time 0.313 (0.327) Data 0.001 (0.001) Loss 1.7383 (1.7629) Prec@1 66.406 (59.790) Prec@5 82.031 (81.389) Epoch: [52][4620/10010] Time 0.330 (0.327) Data 0.001 (0.001) Loss 1.9884 (1.7632) Prec@1 53.125 (59.782) Prec@5 73.438 (81.383) Epoch: [52][4630/10010] Time 0.327 (0.327) Data 0.001 (0.001) Loss 1.3068 (1.7630) Prec@1 68.750 (59.788) Prec@5 89.062 (81.387) Epoch: [52][4640/10010] Time 0.326 (0.327) Data 0.001 (0.001) Loss 1.7250 (1.7630) Prec@1 60.156 (59.794) Prec@5 83.594 (81.386) Epoch: [52][4650/10010] Time 0.316 (0.327) Data 0.001 (0.001) Loss 1.8391 (1.7631) Prec@1 56.250 (59.791) Prec@5 82.031 (81.385) Epoch: [52][4660/10010] Time 0.319 (0.327) Data 0.001 (0.001) Loss 2.0475 (1.7629) Prec@1 54.688 (59.792) Prec@5 72.656 (81.385) Epoch: [52][4670/10010] Time 0.335 (0.327) Data 0.001 (0.001) Loss 1.8945 (1.7630) Prec@1 57.812 (59.791) Prec@5 77.344 (81.382) Epoch: [52][4680/10010] Time 0.320 (0.327) Data 0.001 (0.001) Loss 1.5965 (1.7630) Prec@1 66.406 (59.791) Prec@5 83.594 (81.383) Epoch: [52][4690/10010] Time 0.316 (0.327) Data 0.001 (0.001) Loss 1.8222 (1.7630) Prec@1 58.594 (59.790) Prec@5 78.125 (81.384) Epoch: [52][4700/10010] Time 0.325 (0.327) Data 0.000 (0.001) Loss 1.7678 (1.7631) Prec@1 64.844 (59.791) Prec@5 80.469 (81.382) Epoch: [52][4710/10010] Time 0.340 (0.327) Data 0.001 (0.001) Loss 1.5908 (1.7631) Prec@1 59.375 (59.788) Prec@5 85.938 (81.381) Epoch: [52][4720/10010] Time 0.319 (0.327) Data 0.001 (0.001) Loss 1.8245 (1.7633) Prec@1 57.812 (59.785) Prec@5 81.250 (81.378) Epoch: [52][4730/10010] Time 0.330 (0.327) Data 0.001 (0.001) Loss 1.6674 (1.7633) Prec@1 59.375 (59.783) Prec@5 79.688 (81.379) Epoch: [52][4740/10010] Time 0.318 (0.327) Data 0.001 (0.001) Loss 1.7437 (1.7633) Prec@1 60.938 (59.781) Prec@5 84.375 (81.378) Epoch: [52][4750/10010] Time 0.339 (0.327) Data 0.003 (0.001) Loss 1.6797 (1.7632) Prec@1 64.062 (59.786) Prec@5 83.594 (81.376) Epoch: [52][4760/10010] Time 0.330 (0.327) Data 0.001 (0.001) Loss 1.6081 (1.7633) Prec@1 64.844 (59.785) Prec@5 85.156 (81.377) Epoch: [52][4770/10010] Time 0.323 (0.327) Data 0.001 (0.001) Loss 1.8535 (1.7636) Prec@1 61.719 (59.780) Prec@5 79.688 (81.372) Epoch: [52][4780/10010] Time 0.317 (0.327) Data 0.001 (0.001) Loss 1.3999 (1.7637) Prec@1 70.312 (59.778) Prec@5 89.062 (81.372) Epoch: [52][4790/10010] Time 0.331 (0.327) Data 0.001 (0.001) Loss 1.7643 (1.7638) Prec@1 64.844 (59.774) Prec@5 82.031 (81.369) Epoch: [52][4800/10010] Time 0.323 (0.327) Data 0.001 (0.001) Loss 1.7940 (1.7639) Prec@1 53.906 (59.772) Prec@5 82.812 (81.368) Epoch: [52][4810/10010] Time 0.323 (0.327) Data 0.001 (0.001) Loss 1.8203 (1.7637) Prec@1 57.031 (59.773) Prec@5 75.781 (81.370) Epoch: [52][4820/10010] Time 0.314 (0.327) Data 0.001 (0.001) Loss 1.6384 (1.7637) Prec@1 63.281 (59.773) Prec@5 88.281 (81.373) Epoch: [52][4830/10010] Time 0.330 (0.327) Data 0.001 (0.001) Loss 2.0275 (1.7636) Prec@1 56.250 (59.776) Prec@5 71.875 (81.373) Epoch: [52][4840/10010] Time 0.345 (0.327) Data 0.001 (0.001) Loss 2.0050 (1.7636) Prec@1 55.469 (59.774) Prec@5 81.250 (81.375) Epoch: [52][4850/10010] Time 0.337 (0.327) Data 0.001 (0.001) Loss 1.8068 (1.7636) Prec@1 58.594 (59.772) Prec@5 78.906 (81.376) Epoch: [52][4860/10010] Time 0.315 (0.327) Data 0.001 (0.001) Loss 2.0142 (1.7638) Prec@1 50.000 (59.766) Prec@5 74.219 (81.374) Epoch: [52][4870/10010] Time 0.332 (0.327) Data 0.001 (0.001) Loss 1.8887 (1.7640) Prec@1 56.250 (59.762) Prec@5 79.688 (81.370) Epoch: [52][4880/10010] Time 0.339 (0.327) Data 0.000 (0.001) Loss 1.8005 (1.7641) Prec@1 60.156 (59.761) Prec@5 79.688 (81.368) Epoch: [52][4890/10010] Time 0.325 (0.327) Data 0.001 (0.001) Loss 1.5759 (1.7640) Prec@1 60.938 (59.765) Prec@5 82.812 (81.369) Epoch: [52][4900/10010] Time 0.337 (0.327) Data 0.001 (0.001) Loss 1.9070 (1.7641) Prec@1 60.938 (59.765) Prec@5 79.688 (81.367) Epoch: [52][4910/10010] Time 0.311 (0.327) Data 0.001 (0.001) Loss 1.9368 (1.7643) Prec@1 50.000 (59.762) Prec@5 79.688 (81.366) Epoch: [52][4920/10010] Time 0.341 (0.327) Data 0.001 (0.001) Loss 1.8806 (1.7644) Prec@1 57.812 (59.756) Prec@5 80.469 (81.363) Epoch: [52][4930/10010] Time 0.341 (0.327) Data 0.001 (0.001) Loss 1.7955 (1.7644) Prec@1 58.594 (59.758) Prec@5 82.031 (81.363) Epoch: [52][4940/10010] Time 0.326 (0.327) Data 0.000 (0.001) Loss 1.6300 (1.7644) Prec@1 64.062 (59.757) Prec@5 80.469 (81.363) Epoch: [52][4950/10010] Time 0.321 (0.327) Data 0.000 (0.001) Loss 1.7315 (1.7647) Prec@1 64.844 (59.753) Prec@5 83.594 (81.360) Epoch: [52][4960/10010] Time 0.326 (0.327) Data 0.000 (0.001) Loss 1.7318 (1.7647) Prec@1 60.938 (59.752) Prec@5 83.594 (81.359) Epoch: [52][4970/10010] Time 0.321 (0.327) Data 0.001 (0.001) Loss 1.5421 (1.7647) Prec@1 63.281 (59.750) Prec@5 84.375 (81.361) Epoch: [52][4980/10010] Time 0.316 (0.327) Data 0.001 (0.001) Loss 1.7264 (1.7648) Prec@1 57.812 (59.749) Prec@5 80.469 (81.358) Epoch: [52][4990/10010] Time 0.325 (0.327) Data 0.001 (0.001) Loss 1.8106 (1.7649) Prec@1 59.375 (59.745) Prec@5 78.906 (81.361) Epoch: [52][5000/10010] Time 0.316 (0.327) Data 0.001 (0.001) Loss 1.6122 (1.7649) Prec@1 60.938 (59.744) Prec@5 82.031 (81.360) Epoch: [52][5010/10010] Time 0.334 (0.327) Data 0.001 (0.001) Loss 1.5358 (1.7649) Prec@1 67.188 (59.742) Prec@5 84.375 (81.360) Epoch: [52][5020/10010] Time 0.335 (0.327) Data 0.001 (0.001) Loss 2.0995 (1.7651) Prec@1 53.125 (59.739) Prec@5 71.875 (81.355) Epoch: [52][5030/10010] Time 0.316 (0.327) Data 0.000 (0.001) Loss 1.6538 (1.7650) Prec@1 59.375 (59.740) Prec@5 82.812 (81.357) Epoch: [52][5040/10010] Time 0.323 (0.327) Data 0.001 (0.001) Loss 1.7708 (1.7651) Prec@1 53.906 (59.736) Prec@5 82.812 (81.357) Epoch: [52][5050/10010] Time 0.333 (0.327) Data 0.001 (0.001) Loss 1.8842 (1.7649) Prec@1 57.812 (59.739) Prec@5 81.250 (81.360) Epoch: [52][5060/10010] Time 0.316 (0.327) Data 0.001 (0.001) Loss 1.7637 (1.7650) Prec@1 65.625 (59.737) Prec@5 80.469 (81.358) Epoch: [52][5070/10010] Time 0.332 (0.327) Data 0.000 (0.001) Loss 1.9611 (1.7650) Prec@1 53.906 (59.736) Prec@5 77.344 (81.358) Epoch: [52][5080/10010] Time 0.334 (0.327) Data 0.001 (0.001) Loss 1.8183 (1.7650) Prec@1 54.688 (59.735) Prec@5 77.344 (81.356) Epoch: [52][5090/10010] Time 0.318 (0.327) Data 0.001 (0.001) Loss 2.0740 (1.7653) Prec@1 53.125 (59.731) Prec@5 79.688 (81.352) Epoch: [52][5100/10010] Time 0.319 (0.327) Data 0.001 (0.001) Loss 1.6252 (1.7652) Prec@1 64.062 (59.731) Prec@5 82.812 (81.353) Epoch: [52][5110/10010] Time 0.336 (0.327) Data 0.001 (0.001) Loss 1.5169 (1.7653) Prec@1 64.844 (59.729) Prec@5 85.156 (81.352) Epoch: [52][5120/10010] Time 0.319 (0.327) Data 0.001 (0.001) Loss 1.8823 (1.7653) Prec@1 54.688 (59.725) Prec@5 78.125 (81.352) Epoch: [52][5130/10010] Time 0.319 (0.327) Data 0.001 (0.001) Loss 1.2204 (1.7655) Prec@1 66.406 (59.721) Prec@5 92.188 (81.350) /data/vision/torralba/deepscene/lib/anaconda2/lib/python2.7/site-packages/PIL/TiffImagePlugin.py:692: UserWarning: Possibly corrupt EXIF data. Expecting to read 19660800 bytes but only got 0. Skipping tag 0 "Skipping tag %s" % (size, len(data), tag)) /data/vision/torralba/deepscene/lib/anaconda2/lib/python2.7/site-packages/PIL/TiffImagePlugin.py:692: UserWarning: Possibly corrupt EXIF data. Expecting to read 18481152 bytes but only got 0. Skipping tag 0 "Skipping tag %s" % (size, len(data), tag)) /data/vision/torralba/deepscene/lib/anaconda2/lib/python2.7/site-packages/PIL/TiffImagePlugin.py:692: UserWarning: Possibly corrupt EXIF data. Expecting to read 37093376 bytes but only got 0. Skipping tag 0 "Skipping tag %s" % (size, len(data), tag)) /data/vision/torralba/deepscene/lib/anaconda2/lib/python2.7/site-packages/PIL/TiffImagePlugin.py:692: UserWarning: Possibly corrupt EXIF data. Expecting to read 39976960 bytes but only got 0. Skipping tag 0 "Skipping tag %s" % (size, len(data), tag)) /data/vision/torralba/deepscene/lib/anaconda2/lib/python2.7/site-packages/PIL/TiffImagePlugin.py:692: UserWarning: Possibly corrupt EXIF data. Expecting to read 34865152 bytes but only got 0. Skipping tag 0 "Skipping tag %s" % (size, len(data), tag)) /data/vision/torralba/deepscene/lib/anaconda2/lib/python2.7/site-packages/PIL/TiffImagePlugin.py:709: UserWarning: Corrupt EXIF data. Expecting to read 12 bytes but only got 10. warnings.warn(str(msg)) Epoch: [52][5140/10010] Time 0.324 (0.327) Data 0.001 (0.001) Loss 1.6795 (1.7655) Prec@1 56.250 (59.719) Prec@5 82.812 (81.347) Epoch: [52][5150/10010] Time 0.320 (0.327) Data 0.000 (0.001) Loss 1.7960 (1.7657) Prec@1 61.719 (59.714) Prec@5 81.250 (81.346) Epoch: [52][5160/10010] Time 0.332 (0.327) Data 0.001 (0.001) Loss 1.5623 (1.7657) Prec@1 60.938 (59.716) Prec@5 86.719 (81.347) Epoch: [52][5170/10010] Time 0.320 (0.327) Data 0.001 (0.001) Loss 2.0388 (1.7658) Prec@1 53.906 (59.715) Prec@5 75.000 (81.345) Epoch: [52][5180/10010] Time 0.324 (0.327) Data 0.000 (0.001) Loss 1.7275 (1.7659) Prec@1 57.031 (59.715) Prec@5 85.156 (81.344) /data/vision/torralba/deepscene/lib/anaconda2/lib/python2.7/site-packages/PIL/TiffImagePlugin.py:692: UserWarning: Possibly corrupt EXIF data. Expecting to read 2555904 bytes but only got 0. Skipping tag 0 "Skipping tag %s" % (size, len(data), tag)) Epoch: [52][5190/10010] Time 0.336 (0.327) Data 0.001 (0.001) Loss 1.8896 (1.7661) Prec@1 56.250 (59.709) Prec@5 82.031 (81.343) Epoch: [52][5200/10010] Time 0.336 (0.327) Data 0.001 (0.001) Loss 1.8249 (1.7662) Prec@1 57.812 (59.705) Prec@5 82.031 (81.341) Epoch: [52][5210/10010] Time 0.312 (0.327) Data 0.001 (0.001) Loss 1.7480 (1.7662) Prec@1 60.156 (59.706) Prec@5 80.469 (81.338) Epoch: [52][5220/10010] Time 0.342 (0.327) Data 0.001 (0.001) Loss 1.9499 (1.7664) Prec@1 60.938 (59.703) Prec@5 81.250 (81.335) Epoch: [52][5230/10010] Time 0.316 (0.327) Data 0.001 (0.001) Loss 1.8283 (1.7664) Prec@1 61.719 (59.705) Prec@5 77.344 (81.333) Epoch: [52][5240/10010] Time 0.319 (0.327) Data 0.001 (0.001) Loss 1.6161 (1.7665) Prec@1 63.281 (59.703) Prec@5 82.812 (81.335) Epoch: [52][5250/10010] Time 0.341 (0.327) Data 0.000 (0.001) Loss 1.9033 (1.7665) Prec@1 57.031 (59.701) Prec@5 78.906 (81.334) Epoch: [52][5260/10010] Time 0.324 (0.327) Data 0.000 (0.001) Loss 1.5974 (1.7665) Prec@1 62.500 (59.702) Prec@5 86.719 (81.335) /data/vision/torralba/deepscene/lib/anaconda2/lib/python2.7/site-packages/PIL/TiffImagePlugin.py:709: UserWarning: Corrupt EXIF data. Expecting to read 4 bytes but only got 0. warnings.warn(str(msg)) Epoch: [52][5270/10010] Time 0.336 (0.327) Data 0.001 (0.001) Loss 1.9052 (1.7665) Prec@1 55.469 (59.701) Prec@5 78.125 (81.335) Epoch: [52][5280/10010] Time 0.328 (0.327) Data 0.001 (0.001) Loss 1.9007 (1.7666) Prec@1 57.031 (59.700) Prec@5 78.906 (81.333) Epoch: [52][5290/10010] Time 0.313 (0.327) Data 0.001 (0.001) Loss 1.6136 (1.7665) Prec@1 65.625 (59.704) Prec@5 85.156 (81.333) Epoch: [52][5300/10010] Time 0.335 (0.327) Data 0.001 (0.001) Loss 1.9923 (1.7665) Prec@1 53.906 (59.705) Prec@5 78.906 (81.335) Epoch: [52][5310/10010] Time 0.325 (0.327) Data 0.001 (0.001) Loss 1.5225 (1.7665) Prec@1 62.500 (59.706) Prec@5 83.594 (81.335) Epoch: [52][5320/10010] Time 0.337 (0.327) Data 0.001 (0.001) Loss 1.8317 (1.7666) Prec@1 56.250 (59.705) Prec@5 80.469 (81.334) Epoch: [52][5330/10010] Time 0.336 (0.327) Data 0.001 (0.001) Loss 1.8410 (1.7667) Prec@1 56.250 (59.702) Prec@5 81.250 (81.332) Epoch: [52][5340/10010] Time 0.338 (0.327) Data 0.000 (0.001) Loss 1.8343 (1.7668) Prec@1 62.500 (59.700) Prec@5 80.469 (81.330) Epoch: [52][5350/10010] Time 0.318 (0.327) Data 0.000 (0.001) Loss 1.7378 (1.7666) Prec@1 60.156 (59.704) Prec@5 82.031 (81.333) Epoch: [52][5360/10010] Time 0.318 (0.327) Data 0.001 (0.001) Loss 1.6363 (1.7666) Prec@1 57.031 (59.701) Prec@5 85.938 (81.335) Epoch: [52][5370/10010] Time 0.315 (0.327) Data 0.001 (0.001) Loss 1.4367 (1.7665) Prec@1 63.281 (59.704) Prec@5 87.500 (81.337) Epoch: [52][5380/10010] Time 0.341 (0.327) Data 0.000 (0.001) Loss 1.9083 (1.7667) Prec@1 51.562 (59.701) Prec@5 80.469 (81.335) Epoch: [52][5390/10010] Time 0.314 (0.327) Data 0.001 (0.001) Loss 1.6018 (1.7667) Prec@1 62.500 (59.697) Prec@5 85.938 (81.336) Epoch: [52][5400/10010] Time 0.338 (0.327) Data 0.001 (0.001) Loss 1.8274 (1.7667) Prec@1 57.812 (59.698) Prec@5 79.688 (81.338) Epoch: [52][5410/10010] Time 0.316 (0.327) Data 0.001 (0.001) Loss 1.7638 (1.7668) Prec@1 58.594 (59.696) Prec@5 82.031 (81.336) Epoch: [52][5420/10010] Time 0.324 (0.327) Data 0.001 (0.001) Loss 1.5509 (1.7667) Prec@1 59.375 (59.696) Prec@5 83.594 (81.336) Epoch: [52][5430/10010] Time 0.338 (0.327) Data 0.001 (0.001) Loss 1.8880 (1.7670) Prec@1 54.688 (59.689) Prec@5 83.594 (81.334) Epoch: [52][5440/10010] Time 0.321 (0.327) Data 0.000 (0.001) Loss 1.7643 (1.7670) Prec@1 58.594 (59.692) Prec@5 82.031 (81.332) Epoch: [52][5450/10010] Time 0.334 (0.327) Data 0.000 (0.001) Loss 1.6023 (1.7671) Prec@1 59.375 (59.689) Prec@5 82.812 (81.331) Epoch: [52][5460/10010] Time 0.334 (0.327) Data 0.001 (0.001) Loss 1.8072 (1.7670) Prec@1 57.812 (59.692) Prec@5 81.250 (81.330) Epoch: [52][5470/10010] Time 0.334 (0.327) Data 0.001 (0.001) Loss 1.7830 (1.7668) Prec@1 53.906 (59.697) Prec@5 80.469 (81.331) Epoch: [52][5480/10010] Time 0.312 (0.327) Data 0.001 (0.001) Loss 1.7241 (1.7668) Prec@1 61.719 (59.699) Prec@5 77.344 (81.330) Epoch: [52][5490/10010] Time 0.342 (0.327) Data 0.000 (0.001) Loss 1.9596 (1.7669) Prec@1 50.781 (59.697) Prec@5 71.875 (81.325) Epoch: [52][5500/10010] Time 0.338 (0.327) Data 0.001 (0.001) Loss 2.0784 (1.7669) Prec@1 60.156 (59.699) Prec@5 79.688 (81.325) Epoch: [52][5510/10010] Time 0.338 (0.327) Data 0.001 (0.001) Loss 2.0682 (1.7671) Prec@1 54.688 (59.697) Prec@5 75.781 (81.321) Epoch: [52][5520/10010] Time 0.314 (0.327) Data 0.001 (0.001) Loss 1.8448 (1.7673) Prec@1 51.562 (59.693) Prec@5 79.688 (81.317) Epoch: [52][5530/10010] Time 0.337 (0.327) Data 0.001 (0.001) Loss 1.7728 (1.7674) Prec@1 61.719 (59.688) Prec@5 82.031 (81.315) Epoch: [52][5540/10010] Time 0.340 (0.327) Data 0.000 (0.001) Loss 1.6116 (1.7675) Prec@1 60.938 (59.689) Prec@5 83.594 (81.314) Epoch: [52][5550/10010] Time 0.333 (0.327) Data 0.001 (0.001) Loss 1.8741 (1.7676) Prec@1 60.156 (59.687) Prec@5 81.250 (81.311) Epoch: [52][5560/10010] Time 0.334 (0.327) Data 0.000 (0.001) Loss 1.5410 (1.7676) Prec@1 69.531 (59.689) Prec@5 83.594 (81.312) Epoch: [52][5570/10010] Time 0.311 (0.327) Data 0.001 (0.001) Loss 1.8918 (1.7677) Prec@1 60.938 (59.687) Prec@5 78.125 (81.308) Epoch: [52][5580/10010] Time 0.323 (0.327) Data 0.001 (0.001) Loss 2.0511 (1.7679) Prec@1 52.344 (59.686) Prec@5 77.344 (81.305) Epoch: [52][5590/10010] Time 0.332 (0.327) Data 0.000 (0.001) Loss 2.0622 (1.7679) Prec@1 60.938 (59.687) Prec@5 78.906 (81.309) Epoch: [52][5600/10010] Time 0.309 (0.327) Data 0.001 (0.001) Loss 1.6177 (1.7678) Prec@1 62.500 (59.688) Prec@5 82.031 (81.310) Epoch: [52][5610/10010] Time 0.316 (0.327) Data 0.000 (0.001) Loss 1.9577 (1.7679) Prec@1 57.812 (59.687) Prec@5 80.469 (81.308) Epoch: [52][5620/10010] Time 0.331 (0.327) Data 0.001 (0.001) Loss 1.9216 (1.7678) Prec@1 56.250 (59.688) Prec@5 80.469 (81.311) Epoch: [52][5630/10010] Time 0.335 (0.327) Data 0.001 (0.001) Loss 1.6311 (1.7679) Prec@1 61.719 (59.685) Prec@5 84.375 (81.310) Epoch: [52][5640/10010] Time 0.320 (0.327) Data 0.001 (0.001) Loss 1.7637 (1.7678) Prec@1 60.938 (59.686) Prec@5 80.469 (81.313) Epoch: [52][5650/10010] Time 0.310 (0.327) Data 0.000 (0.001) Loss 1.8648 (1.7677) Prec@1 55.469 (59.686) Prec@5 82.031 (81.312) Epoch: [52][5660/10010] Time 0.317 (0.327) Data 0.001 (0.001) Loss 1.6641 (1.7678) Prec@1 61.719 (59.685) Prec@5 81.250 (81.310) Epoch: [52][5670/10010] Time 0.333 (0.327) Data 0.000 (0.001) Loss 1.8118 (1.7678) Prec@1 58.594 (59.685) Prec@5 79.688 (81.310) Epoch: [52][5680/10010] Time 0.330 (0.327) Data 0.001 (0.001) Loss 2.0310 (1.7678) Prec@1 53.906 (59.687) Prec@5 80.469 (81.312) Epoch: [52][5690/10010] Time 0.322 (0.327) Data 0.001 (0.001) Loss 1.6110 (1.7676) Prec@1 64.844 (59.690) Prec@5 85.938 (81.315) Epoch: [52][5700/10010] Time 0.331 (0.327) Data 0.001 (0.001) Loss 1.4903 (1.7675) Prec@1 61.719 (59.692) Prec@5 85.156 (81.314) Epoch: [52][5710/10010] Time 0.330 (0.327) Data 0.001 (0.001) Loss 1.6558 (1.7674) Prec@1 60.156 (59.693) Prec@5 82.031 (81.317) Epoch: [52][5720/10010] Time 0.316 (0.327) Data 0.000 (0.001) Loss 1.5484 (1.7674) Prec@1 61.719 (59.694) Prec@5 81.250 (81.316) Epoch: [52][5730/10010] Time 0.335 (0.327) Data 0.001 (0.001) Loss 1.5704 (1.7675) Prec@1 64.062 (59.694) Prec@5 85.938 (81.315) Epoch: [52][5740/10010] Time 0.319 (0.327) Data 0.001 (0.001) Loss 1.6839 (1.7674) Prec@1 66.406 (59.696) Prec@5 81.250 (81.317) Epoch: [52][5750/10010] Time 0.333 (0.327) Data 0.001 (0.001) Loss 1.7574 (1.7674) Prec@1 65.625 (59.696) Prec@5 77.344 (81.313) Epoch: [52][5760/10010] Time 0.317 (0.327) Data 0.001 (0.001) Loss 1.5976 (1.7674) Prec@1 60.156 (59.695) Prec@5 82.812 (81.314) Epoch: [52][5770/10010] Time 0.329 (0.327) Data 0.001 (0.001) Loss 1.7378 (1.7673) Prec@1 58.594 (59.695) Prec@5 77.344 (81.314) /data/vision/torralba/deepscene/lib/anaconda2/lib/python2.7/site-packages/PIL/TiffImagePlugin.py:692: UserWarning: Possibly corrupt EXIF data. Expecting to read 1835008 bytes but only got 0. Skipping tag 0 "Skipping tag %s" % (size, len(data), tag)) Epoch: [52][5780/10010] Time 0.337 (0.327) Data 0.000 (0.001) Loss 2.0262 (1.7673) Prec@1 45.312 (59.693) Prec@5 79.688 (81.315) Epoch: [52][5790/10010] Time 0.314 (0.327) Data 0.001 (0.001) Loss 1.5029 (1.7674) Prec@1 70.312 (59.694) Prec@5 85.156 (81.312) Epoch: [52][5800/10010] Time 0.339 (0.327) Data 0.001 (0.001) Loss 1.6549 (1.7674) Prec@1 62.500 (59.692) Prec@5 84.375 (81.313) Epoch: [52][5810/10010] Time 0.325 (0.327) Data 0.000 (0.001) Loss 1.1064 (1.7673) Prec@1 71.875 (59.691) Prec@5 89.844 (81.316) Epoch: [52][5820/10010] Time 0.323 (0.327) Data 0.000 (0.001) Loss 1.6865 (1.7672) Prec@1 60.156 (59.692) Prec@5 82.812 (81.318) Epoch: [52][5830/10010] Time 0.328 (0.327) Data 0.000 (0.001) Loss 1.7177 (1.7670) Prec@1 63.281 (59.693) Prec@5 79.688 (81.320) Epoch: [52][5840/10010] Time 0.327 (0.327) Data 0.001 (0.001) Loss 1.7188 (1.7671) Prec@1 58.594 (59.693) Prec@5 82.031 (81.317) Epoch: [52][5850/10010] Time 0.337 (0.327) Data 0.000 (0.001) Loss 2.0524 (1.7673) Prec@1 52.344 (59.688) Prec@5 78.906 (81.313) Epoch: [52][5860/10010] Time 0.338 (0.327) Data 0.000 (0.001) Loss 1.7801 (1.7674) Prec@1 64.844 (59.689) Prec@5 77.344 (81.310) Epoch: [52][5870/10010] Time 0.325 (0.327) Data 0.000 (0.001) Loss 2.0429 (1.7674) Prec@1 55.469 (59.687) Prec@5 82.031 (81.310) Epoch: [52][5880/10010] Time 0.317 (0.327) Data 0.001 (0.001) Loss 2.2337 (1.7674) Prec@1 53.906 (59.690) Prec@5 71.875 (81.310) Epoch: [52][5890/10010] Time 0.319 (0.327) Data 0.001 (0.001) Loss 1.9574 (1.7675) Prec@1 58.594 (59.689) Prec@5 77.344 (81.307) Epoch: [52][5900/10010] Time 0.334 (0.327) Data 0.001 (0.001) Loss 1.9066 (1.7676) Prec@1 58.594 (59.687) Prec@5 79.688 (81.305) Epoch: [52][5910/10010] Time 0.343 (0.327) Data 0.001 (0.001) Loss 1.6534 (1.7678) Prec@1 61.719 (59.683) Prec@5 82.031 (81.303) Epoch: [52][5920/10010] Time 0.319 (0.327) Data 0.000 (0.001) Loss 1.8702 (1.7677) Prec@1 60.938 (59.689) Prec@5 79.688 (81.304) Epoch: [52][5930/10010] Time 0.319 (0.327) Data 0.001 (0.001) Loss 2.0613 (1.7679) Prec@1 53.906 (59.687) Prec@5 76.562 (81.301) Epoch: [52][5940/10010] Time 0.331 (0.327) Data 0.000 (0.001) Loss 1.7901 (1.7679) Prec@1 57.031 (59.688) Prec@5 81.250 (81.301) Epoch: [52][5950/10010] Time 0.316 (0.327) Data 0.001 (0.001) Loss 1.6790 (1.7678) Prec@1 59.375 (59.687) Prec@5 85.938 (81.302) Epoch: [52][5960/10010] Time 0.323 (0.327) Data 0.001 (0.001) Loss 1.8397 (1.7680) Prec@1 60.156 (59.684) Prec@5 79.688 (81.300) Epoch: [52][5970/10010] Time 0.338 (0.327) Data 0.000 (0.001) Loss 2.0545 (1.7680) Prec@1 53.906 (59.684) Prec@5 77.344 (81.300) Epoch: [52][5980/10010] Time 0.312 (0.327) Data 0.000 (0.001) Loss 2.0756 (1.7681) Prec@1 57.031 (59.683) Prec@5 78.906 (81.300) Epoch: [52][5990/10010] Time 0.324 (0.327) Data 0.001 (0.001) Loss 1.7838 (1.7681) Prec@1 59.375 (59.682) Prec@5 82.812 (81.299) Epoch: [52][6000/10010] Time 0.328 (0.327) Data 0.001 (0.001) Loss 1.6992 (1.7682) Prec@1 60.938 (59.680) Prec@5 87.500 (81.297) Epoch: [52][6010/10010] Time 0.334 (0.327) Data 0.001 (0.001) Loss 2.0601 (1.7683) Prec@1 52.344 (59.678) Prec@5 80.469 (81.295) Epoch: [52][6020/10010] Time 0.320 (0.327) Data 0.000 (0.001) Loss 1.8664 (1.7683) Prec@1 59.375 (59.678) Prec@5 78.125 (81.295) Epoch: [52][6030/10010] Time 0.338 (0.327) Data 0.001 (0.001) Loss 2.0028 (1.7682) Prec@1 58.594 (59.681) Prec@5 78.906 (81.297) Epoch: [52][6040/10010] Time 0.327 (0.327) Data 0.001 (0.001) Loss 1.8885 (1.7682) Prec@1 55.469 (59.682) Prec@5 79.688 (81.295) Epoch: [52][6050/10010] Time 0.339 (0.327) Data 0.000 (0.001) Loss 1.8025 (1.7682) Prec@1 57.031 (59.678) Prec@5 79.688 (81.297) Epoch: [52][6060/10010] Time 0.322 (0.327) Data 0.001 (0.001) Loss 1.8738 (1.7683) Prec@1 52.344 (59.677) Prec@5 81.250 (81.297) Epoch: [52][6070/10010] Time 0.339 (0.327) Data 0.001 (0.001) Loss 1.9772 (1.7682) Prec@1 60.156 (59.678) Prec@5 81.250 (81.300) Epoch: [52][6080/10010] Time 0.317 (0.327) Data 0.001 (0.001) Loss 1.8941 (1.7684) Prec@1 57.812 (59.673) Prec@5 79.688 (81.298) Epoch: [52][6090/10010] Time 0.328 (0.327) Data 0.000 (0.001) Loss 1.4805 (1.7682) Prec@1 62.500 (59.677) Prec@5 85.938 (81.299) Epoch: [52][6100/10010] Time 0.319 (0.327) Data 0.000 (0.001) Loss 1.7929 (1.7683) Prec@1 61.719 (59.674) Prec@5 78.906 (81.297) Epoch: [52][6110/10010] Time 0.343 (0.327) Data 0.000 (0.001) Loss 2.0295 (1.7683) Prec@1 51.562 (59.678) Prec@5 78.125 (81.298) Epoch: [52][6120/10010] Time 0.321 (0.327) Data 0.001 (0.001) Loss 1.6050 (1.7683) Prec@1 65.625 (59.681) Prec@5 81.250 (81.298) Epoch: [52][6130/10010] Time 0.318 (0.327) Data 0.001 (0.001) Loss 1.6420 (1.7683) Prec@1 60.156 (59.681) Prec@5 86.719 (81.297) Epoch: [52][6140/10010] Time 0.327 (0.327) Data 0.000 (0.001) Loss 1.7049 (1.7681) Prec@1 62.500 (59.685) Prec@5 85.156 (81.301) Epoch: [52][6150/10010] Time 0.341 (0.327) Data 0.000 (0.001) Loss 1.8511 (1.7681) Prec@1 56.250 (59.687) Prec@5 79.688 (81.301) Epoch: [52][6160/10010] Time 0.340 (0.327) Data 0.001 (0.001) Loss 1.7384 (1.7680) Prec@1 63.281 (59.689) Prec@5 82.812 (81.302) Epoch: [52][6170/10010] Time 0.318 (0.327) Data 0.000 (0.001) Loss 1.5483 (1.7678) Prec@1 65.625 (59.693) Prec@5 82.812 (81.304) Epoch: [52][6180/10010] Time 0.342 (0.327) Data 0.000 (0.001) Loss 2.1111 (1.7678) Prec@1 57.031 (59.695) Prec@5 73.438 (81.303) Epoch: [52][6190/10010] Time 0.313 (0.327) Data 0.001 (0.001) Loss 2.0332 (1.7681) Prec@1 55.469 (59.690) Prec@5 80.469 (81.299) Epoch: [52][6200/10010] Time 0.329 (0.327) Data 0.001 (0.001) Loss 1.9416 (1.7682) Prec@1 52.344 (59.688) Prec@5 79.688 (81.299) Epoch: [52][6210/10010] Time 0.338 (0.327) Data 0.000 (0.001) Loss 1.6870 (1.7682) Prec@1 59.375 (59.688) Prec@5 81.250 (81.298) Epoch: [52][6220/10010] Time 0.339 (0.327) Data 0.001 (0.001) Loss 1.5614 (1.7682) Prec@1 67.188 (59.687) Prec@5 83.594 (81.299) Epoch: [52][6230/10010] Time 0.326 (0.327) Data 0.001 (0.001) Loss 1.5982 (1.7682) Prec@1 66.406 (59.689) Prec@5 83.594 (81.299) Epoch: [52][6240/10010] Time 0.327 (0.327) Data 0.001 (0.001) Loss 1.7161 (1.7681) Prec@1 65.625 (59.690) Prec@5 85.156 (81.302) Epoch: [52][6250/10010] Time 0.332 (0.327) Data 0.001 (0.001) Loss 1.5558 (1.7680) Prec@1 64.062 (59.692) Prec@5 82.812 (81.302) Epoch: [52][6260/10010] Time 0.313 (0.327) Data 0.000 (0.001) Loss 1.6669 (1.7680) Prec@1 62.500 (59.691) Prec@5 81.250 (81.302) Epoch: [52][6270/10010] Time 0.338 (0.327) Data 0.001 (0.001) Loss 1.9160 (1.7678) Prec@1 54.688 (59.691) Prec@5 78.906 (81.304) Epoch: [52][6280/10010] Time 0.323 (0.327) Data 0.001 (0.001) Loss 1.8321 (1.7680) Prec@1 54.688 (59.691) Prec@5 81.250 (81.303) Epoch: [52][6290/10010] Time 0.329 (0.327) Data 0.000 (0.001) Loss 1.8034 (1.7679) Prec@1 54.688 (59.691) Prec@5 81.250 (81.304) Epoch: [52][6300/10010] Time 0.334 (0.327) Data 0.001 (0.001) Loss 2.0214 (1.7679) Prec@1 56.250 (59.693) Prec@5 78.906 (81.304) Epoch: [52][6310/10010] Time 0.317 (0.327) Data 0.000 (0.001) Loss 1.9419 (1.7679) Prec@1 63.281 (59.696) Prec@5 81.250 (81.304) Epoch: [52][6320/10010] Time 0.322 (0.327) Data 0.001 (0.001) Loss 1.5233 (1.7680) Prec@1 65.625 (59.693) Prec@5 82.031 (81.304) Epoch: [52][6330/10010] Time 0.318 (0.327) Data 0.001 (0.001) Loss 2.2052 (1.7682) Prec@1 52.344 (59.689) Prec@5 73.438 (81.302) Epoch: [52][6340/10010] Time 0.317 (0.327) Data 0.001 (0.001) Loss 1.7594 (1.7684) Prec@1 64.062 (59.685) Prec@5 79.688 (81.299) Epoch: [52][6350/10010] Time 0.321 (0.327) Data 0.000 (0.001) Loss 1.6944 (1.7683) Prec@1 60.938 (59.687) Prec@5 80.469 (81.298) Epoch: [52][6360/10010] Time 0.333 (0.327) Data 0.001 (0.001) Loss 1.8470 (1.7683) Prec@1 58.594 (59.688) Prec@5 79.688 (81.298) Epoch: [52][6370/10010] Time 0.315 (0.327) Data 0.001 (0.001) Loss 1.7033 (1.7682) Prec@1 58.594 (59.688) Prec@5 79.688 (81.299) Epoch: [52][6380/10010] Time 0.312 (0.327) Data 0.001 (0.001) Loss 1.8331 (1.7682) Prec@1 60.938 (59.689) Prec@5 79.688 (81.297) Epoch: [52][6390/10010] Time 0.321 (0.327) Data 0.001 (0.001) Loss 1.6770 (1.7680) Prec@1 57.812 (59.691) Prec@5 82.031 (81.300) Epoch: [52][6400/10010] Time 0.318 (0.327) Data 0.001 (0.001) Loss 1.7979 (1.7680) Prec@1 59.375 (59.691) Prec@5 80.469 (81.301) Epoch: [52][6410/10010] Time 0.323 (0.327) Data 0.001 (0.001) Loss 1.7758 (1.7679) Prec@1 59.375 (59.694) Prec@5 82.031 (81.302) Epoch: [52][6420/10010] Time 0.317 (0.327) Data 0.001 (0.001) Loss 1.9050 (1.7679) Prec@1 54.688 (59.690) Prec@5 82.031 (81.301) Epoch: [52][6430/10010] Time 0.338 (0.327) Data 0.001 (0.001) Loss 1.6426 (1.7681) Prec@1 57.031 (59.686) Prec@5 82.812 (81.298) Epoch: [52][6440/10010] Time 0.331 (0.327) Data 0.001 (0.001) Loss 1.8989 (1.7682) Prec@1 64.062 (59.685) Prec@5 77.344 (81.295) Epoch: [52][6450/10010] Time 0.330 (0.327) Data 0.000 (0.001) Loss 1.8263 (1.7682) Prec@1 60.156 (59.686) Prec@5 78.906 (81.297) Epoch: [52][6460/10010] Time 0.325 (0.327) Data 0.000 (0.001) Loss 1.8555 (1.7683) Prec@1 59.375 (59.684) Prec@5 80.469 (81.298) Epoch: [52][6470/10010] Time 0.337 (0.327) Data 0.000 (0.001) Loss 1.8167 (1.7683) Prec@1 56.250 (59.683) Prec@5 82.031 (81.298) Epoch: [52][6480/10010] Time 0.311 (0.327) Data 0.001 (0.001) Loss 1.6124 (1.7683) Prec@1 64.844 (59.682) Prec@5 84.375 (81.301) Epoch: [52][6490/10010] Time 0.332 (0.327) Data 0.001 (0.001) Loss 1.9888 (1.7684) Prec@1 52.344 (59.678) Prec@5 82.031 (81.300) Epoch: [52][6500/10010] Time 0.322 (0.327) Data 0.001 (0.001) Loss 1.8304 (1.7685) Prec@1 62.500 (59.677) Prec@5 82.031 (81.299) Epoch: [52][6510/10010] Time 0.324 (0.327) Data 0.001 (0.001) Loss 1.5276 (1.7686) Prec@1 64.062 (59.675) Prec@5 85.938 (81.300) Epoch: [52][6520/10010] Time 0.317 (0.327) Data 0.001 (0.001) Loss 1.4415 (1.7686) Prec@1 59.375 (59.673) Prec@5 85.938 (81.300) Epoch: [52][6530/10010] Time 0.320 (0.327) Data 0.001 (0.001) Loss 1.7898 (1.7685) Prec@1 50.000 (59.672) Prec@5 85.156 (81.302) Epoch: [52][6540/10010] Time 0.328 (0.327) Data 0.000 (0.001) Loss 1.8102 (1.7684) Prec@1 64.062 (59.674) Prec@5 80.469 (81.303) Epoch: [52][6550/10010] Time 0.318 (0.327) Data 0.001 (0.001) Loss 1.4243 (1.7685) Prec@1 67.188 (59.674) Prec@5 85.156 (81.301) Epoch: [52][6560/10010] Time 0.324 (0.327) Data 0.000 (0.001) Loss 1.8401 (1.7686) Prec@1 56.250 (59.672) Prec@5 79.688 (81.300) Epoch: [52][6570/10010] Time 0.330 (0.327) Data 0.001 (0.001) Loss 2.0210 (1.7687) Prec@1 56.250 (59.672) Prec@5 73.438 (81.299) Epoch: [52][6580/10010] Time 0.335 (0.327) Data 0.000 (0.001) Loss 1.7423 (1.7687) Prec@1 60.156 (59.672) Prec@5 79.688 (81.299) Epoch: [52][6590/10010] Time 0.329 (0.327) Data 0.000 (0.001) Loss 2.0291 (1.7687) Prec@1 53.906 (59.671) Prec@5 81.250 (81.299) Epoch: [52][6600/10010] Time 0.340 (0.327) Data 0.000 (0.001) Loss 1.8539 (1.7686) Prec@1 62.500 (59.673) Prec@5 82.031 (81.300) Epoch: [52][6610/10010] Time 0.343 (0.327) Data 0.000 (0.001) Loss 1.5634 (1.7686) Prec@1 62.500 (59.674) Prec@5 84.375 (81.300) Epoch: [52][6620/10010] Time 0.340 (0.327) Data 0.001 (0.001) Loss 2.1905 (1.7687) Prec@1 55.469 (59.671) Prec@5 73.438 (81.296) Epoch: [52][6630/10010] Time 0.323 (0.327) Data 0.001 (0.001) Loss 1.9299 (1.7689) Prec@1 61.719 (59.670) Prec@5 77.344 (81.293) Epoch: [52][6640/10010] Time 0.316 (0.327) Data 0.001 (0.001) Loss 1.7241 (1.7690) Prec@1 63.281 (59.667) Prec@5 82.031 (81.291) Epoch: [52][6650/10010] Time 0.327 (0.327) Data 0.000 (0.001) Loss 1.7573 (1.7692) Prec@1 60.156 (59.665) Prec@5 82.812 (81.289) Epoch: [52][6660/10010] Time 0.339 (0.327) Data 0.001 (0.001) Loss 1.9097 (1.7693) Prec@1 57.031 (59.663) Prec@5 82.031 (81.287) Epoch: [52][6670/10010] Time 0.338 (0.327) Data 0.000 (0.001) Loss 2.0122 (1.7693) Prec@1 57.812 (59.662) Prec@5 75.781 (81.287) Epoch: [52][6680/10010] Time 0.326 (0.327) Data 0.000 (0.001) Loss 2.1959 (1.7693) Prec@1 53.125 (59.662) Prec@5 74.219 (81.287) Epoch: [52][6690/10010] Time 0.340 (0.327) Data 0.000 (0.001) Loss 1.7224 (1.7693) Prec@1 55.469 (59.664) Prec@5 84.375 (81.289) Epoch: [52][6700/10010] Time 0.332 (0.327) Data 0.001 (0.001) Loss 1.7359 (1.7692) Prec@1 64.062 (59.667) Prec@5 77.344 (81.291) Epoch: [52][6710/10010] Time 0.341 (0.327) Data 0.001 (0.001) Loss 1.3585 (1.7692) Prec@1 64.844 (59.668) Prec@5 89.844 (81.291) Epoch: [52][6720/10010] Time 0.327 (0.327) Data 0.000 (0.001) Loss 1.7653 (1.7691) Prec@1 58.594 (59.668) Prec@5 82.031 (81.291) Epoch: [52][6730/10010] Time 0.317 (0.327) Data 0.000 (0.001) Loss 1.6251 (1.7691) Prec@1 63.281 (59.670) Prec@5 83.594 (81.292) Epoch: [52][6740/10010] Time 0.317 (0.327) Data 0.001 (0.001) Loss 1.6459 (1.7692) Prec@1 63.281 (59.669) Prec@5 82.812 (81.291) Epoch: [52][6750/10010] Time 0.332 (0.327) Data 0.000 (0.001) Loss 1.7727 (1.7693) Prec@1 58.594 (59.665) Prec@5 78.906 (81.286) Epoch: [52][6760/10010] Time 0.339 (0.327) Data 0.001 (0.001) Loss 1.7308 (1.7695) Prec@1 57.812 (59.661) Prec@5 80.469 (81.284) Epoch: [52][6770/10010] Time 0.340 (0.327) Data 0.000 (0.001) Loss 1.8234 (1.7696) Prec@1 61.719 (59.659) Prec@5 78.906 (81.283) Epoch: [52][6780/10010] Time 0.317 (0.327) Data 0.001 (0.001) Loss 1.4279 (1.7694) Prec@1 67.188 (59.661) Prec@5 88.281 (81.286) Epoch: [52][6790/10010] Time 0.336 (0.327) Data 0.001 (0.001) Loss 1.3865 (1.7694) Prec@1 66.406 (59.660) Prec@5 86.719 (81.285) Epoch: [52][6800/10010] Time 0.309 (0.327) Data 0.001 (0.001) Loss 1.8990 (1.7692) Prec@1 57.812 (59.663) Prec@5 80.469 (81.288) Epoch: [52][6810/10010] Time 0.335 (0.327) Data 0.000 (0.001) Loss 1.4844 (1.7690) Prec@1 65.625 (59.666) Prec@5 82.812 (81.290) Epoch: [52][6820/10010] Time 0.332 (0.327) Data 0.001 (0.001) Loss 1.8148 (1.7691) Prec@1 58.594 (59.663) Prec@5 81.250 (81.288) Epoch: [52][6830/10010] Time 0.330 (0.327) Data 0.001 (0.001) Loss 1.8366 (1.7692) Prec@1 64.062 (59.664) Prec@5 77.344 (81.288) Epoch: [52][6840/10010] Time 0.323 (0.327) Data 0.000 (0.001) Loss 1.6702 (1.7693) Prec@1 63.281 (59.660) Prec@5 85.156 (81.287) Epoch: [52][6850/10010] Time 0.327 (0.327) Data 0.001 (0.001) Loss 1.9527 (1.7693) Prec@1 55.469 (59.660) Prec@5 79.688 (81.285) Epoch: [52][6860/10010] Time 0.317 (0.327) Data 0.001 (0.001) Loss 2.0368 (1.7695) Prec@1 55.469 (59.655) Prec@5 80.469 (81.285) Epoch: [52][6870/10010] Time 0.330 (0.327) Data 0.001 (0.001) Loss 1.9394 (1.7695) Prec@1 57.031 (59.653) Prec@5 77.344 (81.284) Epoch: [52][6880/10010] Time 0.342 (0.327) Data 0.000 (0.001) Loss 1.5915 (1.7694) Prec@1 68.750 (59.656) Prec@5 83.594 (81.285) Epoch: [52][6890/10010] Time 0.342 (0.327) Data 0.001 (0.001) Loss 1.6783 (1.7694) Prec@1 64.062 (59.658) Prec@5 86.719 (81.286) Epoch: [52][6900/10010] Time 0.334 (0.327) Data 0.001 (0.001) Loss 1.7844 (1.7694) Prec@1 50.781 (59.657) Prec@5 83.594 (81.286) Epoch: [52][6910/10010] Time 0.337 (0.327) Data 0.001 (0.001) Loss 1.3433 (1.7695) Prec@1 66.406 (59.658) Prec@5 88.281 (81.287) Epoch: [52][6920/10010] Time 0.318 (0.327) Data 0.001 (0.001) Loss 1.9388 (1.7695) Prec@1 55.469 (59.656) Prec@5 79.688 (81.286) Epoch: [52][6930/10010] Time 0.341 (0.327) Data 0.001 (0.001) Loss 1.7366 (1.7695) Prec@1 60.938 (59.656) Prec@5 81.250 (81.285) Epoch: [52][6940/10010] Time 0.342 (0.327) Data 0.001 (0.001) Loss 1.9166 (1.7697) Prec@1 58.594 (59.654) Prec@5 80.469 (81.282) Epoch: [52][6950/10010] Time 0.339 (0.327) Data 0.001 (0.001) Loss 1.7251 (1.7697) Prec@1 63.281 (59.653) Prec@5 78.906 (81.281) Epoch: [52][6960/10010] Time 0.318 (0.327) Data 0.001 (0.001) Loss 1.8641 (1.7697) Prec@1 59.375 (59.655) Prec@5 76.562 (81.281) Epoch: [52][6970/10010] Time 0.324 (0.327) Data 0.001 (0.001) Loss 1.8947 (1.7698) Prec@1 54.688 (59.651) Prec@5 82.031 (81.282) Epoch: [52][6980/10010] Time 0.335 (0.327) Data 0.001 (0.001) Loss 1.6179 (1.7698) Prec@1 58.594 (59.650) Prec@5 85.938 (81.281) Epoch: [52][6990/10010] Time 0.326 (0.327) Data 0.001 (0.001) Loss 1.8030 (1.7698) Prec@1 55.469 (59.649) Prec@5 82.031 (81.280) Epoch: [52][7000/10010] Time 0.325 (0.327) Data 0.001 (0.001) Loss 1.6757 (1.7699) Prec@1 62.500 (59.648) Prec@5 82.031 (81.276) Epoch: [52][7010/10010] Time 0.321 (0.327) Data 0.000 (0.001) Loss 1.7475 (1.7699) Prec@1 64.844 (59.648) Prec@5 81.250 (81.276) Epoch: [52][7020/10010] Time 0.338 (0.327) Data 0.001 (0.001) Loss 1.5202 (1.7698) Prec@1 64.844 (59.650) Prec@5 84.375 (81.279) Epoch: [52][7030/10010] Time 0.337 (0.327) Data 0.001 (0.001) Loss 1.7671 (1.7698) Prec@1 57.812 (59.650) Prec@5 81.250 (81.278) Epoch: [52][7040/10010] Time 0.341 (0.327) Data 0.000 (0.001) Loss 1.9924 (1.7698) Prec@1 54.688 (59.650) Prec@5 73.438 (81.278) Epoch: [52][7050/10010] Time 0.322 (0.327) Data 0.000 (0.001) Loss 1.8120 (1.7699) Prec@1 61.719 (59.650) Prec@5 78.125 (81.276) Epoch: [52][7060/10010] Time 0.322 (0.327) Data 0.000 (0.001) Loss 1.5223 (1.7698) Prec@1 60.938 (59.650) Prec@5 85.156 (81.277) Epoch: [52][7070/10010] Time 0.326 (0.327) Data 0.001 (0.001) Loss 1.6000 (1.7699) Prec@1 65.625 (59.648) Prec@5 82.812 (81.277) Epoch: [52][7080/10010] Time 0.335 (0.327) Data 0.001 (0.001) Loss 1.7780 (1.7700) Prec@1 62.500 (59.644) Prec@5 82.812 (81.275) Epoch: [52][7090/10010] Time 0.317 (0.327) Data 0.001 (0.001) Loss 1.8524 (1.7699) Prec@1 54.688 (59.643) Prec@5 84.375 (81.278) Epoch: [52][7100/10010] Time 0.318 (0.327) Data 0.001 (0.001) Loss 1.6509 (1.7700) Prec@1 57.031 (59.641) Prec@5 81.250 (81.276) Epoch: [52][7110/10010] Time 0.333 (0.327) Data 0.001 (0.001) Loss 2.0139 (1.7700) Prec@1 54.688 (59.641) Prec@5 78.906 (81.275) Epoch: [52][7120/10010] Time 0.333 (0.327) Data 0.001 (0.001) Loss 1.3831 (1.7701) Prec@1 67.188 (59.638) Prec@5 86.719 (81.276) Epoch: [52][7130/10010] Time 0.320 (0.327) Data 0.001 (0.001) Loss 1.7384 (1.7701) Prec@1 60.938 (59.636) Prec@5 82.812 (81.275) Epoch: [52][7140/10010] Time 0.336 (0.327) Data 0.000 (0.001) Loss 1.4603 (1.7701) Prec@1 67.188 (59.636) Prec@5 85.156 (81.275) Epoch: [52][7150/10010] Time 0.339 (0.327) Data 0.001 (0.001) Loss 2.0012 (1.7702) Prec@1 57.812 (59.637) Prec@5 79.688 (81.273) Epoch: [52][7160/10010] Time 0.334 (0.327) Data 0.000 (0.001) Loss 1.7903 (1.7702) Prec@1 57.031 (59.635) Prec@5 77.344 (81.272) Epoch: [52][7170/10010] Time 0.322 (0.327) Data 0.000 (0.001) Loss 1.6052 (1.7702) Prec@1 62.500 (59.635) Prec@5 84.375 (81.274) Epoch: [52][7180/10010] Time 0.336 (0.327) Data 0.001 (0.001) Loss 1.8863 (1.7703) Prec@1 55.469 (59.632) Prec@5 78.906 (81.272) Epoch: [52][7190/10010] Time 0.318 (0.327) Data 0.000 (0.001) Loss 1.7134 (1.7704) Prec@1 57.812 (59.628) Prec@5 82.812 (81.269) Epoch: [52][7200/10010] Time 0.337 (0.327) Data 0.000 (0.001) Loss 1.5535 (1.7704) Prec@1 62.500 (59.627) Prec@5 85.156 (81.268) Epoch: [52][7210/10010] Time 0.322 (0.327) Data 0.000 (0.001) Loss 2.0459 (1.7705) Prec@1 56.250 (59.626) Prec@5 76.562 (81.267) Epoch: [52][7220/10010] Time 0.313 (0.327) Data 0.001 (0.001) Loss 2.0012 (1.7706) Prec@1 52.344 (59.624) Prec@5 76.562 (81.266) Epoch: [52][7230/10010] Time 0.320 (0.327) Data 0.001 (0.001) Loss 1.8223 (1.7705) Prec@1 57.812 (59.626) Prec@5 79.688 (81.268) Epoch: [52][7240/10010] Time 0.333 (0.327) Data 0.001 (0.001) Loss 1.8026 (1.7705) Prec@1 57.812 (59.623) Prec@5 80.469 (81.269) Epoch: [52][7250/10010] Time 0.323 (0.327) Data 0.000 (0.001) Loss 1.7997 (1.7707) Prec@1 59.375 (59.619) Prec@5 78.125 (81.266) Epoch: [52][7260/10010] Time 0.337 (0.327) Data 0.001 (0.001) Loss 1.8704 (1.7707) Prec@1 58.594 (59.619) Prec@5 79.688 (81.267) Epoch: [52][7270/10010] Time 0.326 (0.327) Data 0.001 (0.001) Loss 1.8660 (1.7708) Prec@1 59.375 (59.619) Prec@5 82.812 (81.267) Epoch: [52][7280/10010] Time 0.332 (0.327) Data 0.000 (0.001) Loss 1.8840 (1.7708) Prec@1 60.938 (59.622) Prec@5 78.125 (81.268) Epoch: [52][7290/10010] Time 0.335 (0.327) Data 0.000 (0.001) Loss 1.8907 (1.7708) Prec@1 57.812 (59.623) Prec@5 84.375 (81.268) Epoch: [52][7300/10010] Time 0.312 (0.327) Data 0.000 (0.001) Loss 2.0238 (1.7709) Prec@1 55.469 (59.620) Prec@5 80.469 (81.267) Epoch: [52][7310/10010] Time 0.320 (0.327) Data 0.001 (0.001) Loss 1.8175 (1.7710) Prec@1 60.156 (59.617) Prec@5 80.469 (81.264) Epoch: [52][7320/10010] Time 0.312 (0.327) Data 0.001 (0.001) Loss 2.0149 (1.7711) Prec@1 52.344 (59.615) Prec@5 79.688 (81.263) Epoch: [52][7330/10010] Time 0.316 (0.327) Data 0.001 (0.001) Loss 1.6958 (1.7711) Prec@1 60.938 (59.615) Prec@5 83.594 (81.265) Epoch: [52][7340/10010] Time 0.342 (0.327) Data 0.001 (0.001) Loss 1.7752 (1.7710) Prec@1 57.031 (59.616) Prec@5 82.031 (81.267) Epoch: [52][7350/10010] Time 0.327 (0.327) Data 0.001 (0.001) Loss 1.8033 (1.7709) Prec@1 59.375 (59.616) Prec@5 78.906 (81.268) Epoch: [52][7360/10010] Time 0.333 (0.327) Data 0.000 (0.001) Loss 1.8750 (1.7709) Prec@1 58.594 (59.617) Prec@5 81.250 (81.268) Epoch: [52][7370/10010] Time 0.320 (0.327) Data 0.000 (0.001) Loss 1.5576 (1.7708) Prec@1 64.062 (59.619) Prec@5 85.938 (81.271) Epoch: [52][7380/10010] Time 0.324 (0.327) Data 0.001 (0.001) Loss 1.7670 (1.7709) Prec@1 53.125 (59.618) Prec@5 80.469 (81.270) Epoch: [52][7390/10010] Time 0.325 (0.327) Data 0.000 (0.001) Loss 1.7236 (1.7709) Prec@1 66.406 (59.620) Prec@5 81.250 (81.270) Epoch: [52][7400/10010] Time 0.311 (0.327) Data 0.001 (0.001) Loss 1.7296 (1.7708) Prec@1 58.594 (59.622) Prec@5 82.812 (81.271) Epoch: [52][7410/10010] Time 0.338 (0.327) Data 0.000 (0.001) Loss 2.2530 (1.7709) Prec@1 50.000 (59.621) Prec@5 72.656 (81.270) Epoch: [52][7420/10010] Time 0.328 (0.327) Data 0.001 (0.001) Loss 1.9118 (1.7710) Prec@1 50.000 (59.618) Prec@5 81.250 (81.268) Epoch: [52][7430/10010] Time 0.315 (0.327) Data 0.001 (0.001) Loss 1.8904 (1.7710) Prec@1 59.375 (59.620) Prec@5 82.812 (81.269) Epoch: [52][7440/10010] Time 0.329 (0.327) Data 0.000 (0.001) Loss 1.7217 (1.7709) Prec@1 65.625 (59.621) Prec@5 82.812 (81.272) Epoch: [52][7450/10010] Time 0.337 (0.327) Data 0.001 (0.001) Loss 1.5857 (1.7709) Prec@1 62.500 (59.618) Prec@5 82.812 (81.272) Epoch: [52][7460/10010] Time 0.332 (0.327) Data 0.001 (0.001) Loss 2.1711 (1.7710) Prec@1 54.688 (59.619) Prec@5 78.125 (81.270) Epoch: [52][7470/10010] Time 0.325 (0.327) Data 0.001 (0.001) Loss 1.5966 (1.7710) Prec@1 60.156 (59.619) Prec@5 83.594 (81.270) Epoch: [52][7480/10010] Time 0.333 (0.327) Data 0.001 (0.001) Loss 1.7970 (1.7710) Prec@1 65.625 (59.618) Prec@5 82.812 (81.269) Epoch: [52][7490/10010] Time 0.325 (0.327) Data 0.001 (0.001) Loss 1.8496 (1.7712) Prec@1 56.250 (59.614) Prec@5 77.344 (81.267) Epoch: [52][7500/10010] Time 0.338 (0.327) Data 0.000 (0.001) Loss 1.7887 (1.7711) Prec@1 60.156 (59.615) Prec@5 84.375 (81.269) Epoch: [52][7510/10010] Time 0.323 (0.327) Data 0.000 (0.001) Loss 1.7767 (1.7710) Prec@1 58.594 (59.614) Prec@5 84.375 (81.270) Epoch: [52][7520/10010] Time 0.325 (0.327) Data 0.001 (0.001) Loss 1.9223 (1.7712) Prec@1 53.906 (59.612) Prec@5 78.125 (81.267) Epoch: [52][7530/10010] Time 0.311 (0.327) Data 0.001 (0.001) Loss 2.0716 (1.7713) Prec@1 53.125 (59.608) Prec@5 76.562 (81.266) Epoch: [52][7540/10010] Time 0.315 (0.327) Data 0.001 (0.001) Loss 1.8330 (1.7713) Prec@1 63.281 (59.609) Prec@5 78.125 (81.265) Epoch: [52][7550/10010] Time 0.326 (0.327) Data 0.001 (0.001) Loss 1.5468 (1.7713) Prec@1 65.625 (59.609) Prec@5 85.938 (81.267) Epoch: [52][7560/10010] Time 0.317 (0.327) Data 0.000 (0.001) Loss 1.8163 (1.7713) Prec@1 56.250 (59.607) Prec@5 82.031 (81.266) Epoch: [52][7570/10010] Time 0.344 (0.327) Data 0.000 (0.001) Loss 1.8176 (1.7713) Prec@1 58.594 (59.606) Prec@5 77.344 (81.265) Epoch: [52][7580/10010] Time 0.324 (0.327) Data 0.000 (0.001) Loss 1.5923 (1.7713) Prec@1 67.969 (59.607) Prec@5 85.156 (81.267) Epoch: [52][7590/10010] Time 0.325 (0.327) Data 0.001 (0.001) Loss 1.5896 (1.7714) Prec@1 61.719 (59.607) Prec@5 85.938 (81.266) Epoch: [52][7600/10010] Time 0.322 (0.327) Data 0.001 (0.001) Loss 1.9006 (1.7712) Prec@1 57.031 (59.609) Prec@5 80.469 (81.267) Epoch: [52][7610/10010] Time 0.324 (0.327) Data 0.001 (0.001) Loss 1.7597 (1.7713) Prec@1 66.406 (59.610) Prec@5 80.469 (81.267) Epoch: [52][7620/10010] Time 0.333 (0.327) Data 0.001 (0.001) Loss 1.6062 (1.7713) Prec@1 60.156 (59.610) Prec@5 83.594 (81.267) Epoch: [52][7630/10010] Time 0.317 (0.327) Data 0.000 (0.001) Loss 1.7562 (1.7713) Prec@1 55.469 (59.610) Prec@5 82.031 (81.268) Epoch: [52][7640/10010] Time 0.316 (0.327) Data 0.001 (0.001) Loss 1.5812 (1.7713) Prec@1 61.719 (59.610) Prec@5 84.375 (81.268) Epoch: [52][7650/10010] Time 0.337 (0.327) Data 0.001 (0.001) Loss 1.7641 (1.7715) Prec@1 60.938 (59.610) Prec@5 82.031 (81.265) Epoch: [52][7660/10010] Time 0.339 (0.327) Data 0.001 (0.001) Loss 1.9993 (1.7714) Prec@1 55.469 (59.610) Prec@5 82.031 (81.267) Epoch: [52][7670/10010] Time 0.323 (0.327) Data 0.000 (0.001) Loss 1.9442 (1.7715) Prec@1 51.562 (59.608) Prec@5 76.562 (81.267) Epoch: [52][7680/10010] Time 0.333 (0.327) Data 0.001 (0.001) Loss 1.8236 (1.7716) Prec@1 56.250 (59.606) Prec@5 79.688 (81.265) Epoch: [52][7690/10010] Time 0.314 (0.327) Data 0.001 (0.001) Loss 2.0284 (1.7715) Prec@1 57.031 (59.607) Prec@5 78.906 (81.268) Epoch: [52][7700/10010] Time 0.321 (0.327) Data 0.000 (0.001) Loss 1.4977 (1.7715) Prec@1 61.719 (59.608) Prec@5 85.938 (81.269) Epoch: [52][7710/10010] Time 0.324 (0.327) Data 0.001 (0.001) Loss 1.8920 (1.7715) Prec@1 53.906 (59.607) Prec@5 81.250 (81.269) Epoch: [52][7720/10010] Time 0.340 (0.327) Data 0.001 (0.001) Loss 1.4031 (1.7714) Prec@1 64.062 (59.607) Prec@5 89.844 (81.270) Epoch: [52][7730/10010] Time 0.324 (0.327) Data 0.001 (0.001) Loss 1.9244 (1.7715) Prec@1 55.469 (59.608) Prec@5 78.906 (81.268) Epoch: [52][7740/10010] Time 0.333 (0.327) Data 0.001 (0.001) Loss 1.6659 (1.7715) Prec@1 62.500 (59.608) Prec@5 82.812 (81.267) Epoch: [52][7750/10010] Time 0.320 (0.327) Data 0.000 (0.001) Loss 1.7940 (1.7714) Prec@1 60.156 (59.609) Prec@5 80.469 (81.267) Epoch: [52][7760/10010] Time 0.330 (0.327) Data 0.001 (0.001) Loss 1.6058 (1.7714) Prec@1 60.938 (59.610) Prec@5 84.375 (81.268) Epoch: [52][7770/10010] Time 0.332 (0.327) Data 0.000 (0.001) Loss 1.6349 (1.7714) Prec@1 64.844 (59.610) Prec@5 78.906 (81.268) Epoch: [52][7780/10010] Time 0.323 (0.327) Data 0.000 (0.001) Loss 2.0261 (1.7716) Prec@1 56.250 (59.607) Prec@5 79.688 (81.265) Epoch: [52][7790/10010] Time 0.339 (0.327) Data 0.000 (0.001) Loss 1.8861 (1.7716) Prec@1 55.469 (59.606) Prec@5 82.031 (81.266) Epoch: [52][7800/10010] Time 0.339 (0.327) Data 0.001 (0.001) Loss 1.8492 (1.7715) Prec@1 60.156 (59.605) Prec@5 82.812 (81.267) Epoch: [52][7810/10010] Time 0.315 (0.327) Data 0.001 (0.001) Loss 1.6599 (1.7715) Prec@1 59.375 (59.605) Prec@5 83.594 (81.267) Epoch: [52][7820/10010] Time 0.336 (0.327) Data 0.001 (0.001) Loss 1.6769 (1.7716) Prec@1 57.031 (59.604) Prec@5 82.812 (81.266) Epoch: [52][7830/10010] Time 0.315 (0.327) Data 0.001 (0.001) Loss 1.7765 (1.7716) Prec@1 61.719 (59.604) Prec@5 84.375 (81.266) Epoch: [52][7840/10010] Time 0.319 (0.327) Data 0.001 (0.001) Loss 2.0154 (1.7717) Prec@1 50.781 (59.600) Prec@5 78.125 (81.265) Epoch: [52][7850/10010] Time 0.339 (0.327) Data 0.000 (0.001) Loss 1.9637 (1.7718) Prec@1 52.344 (59.599) Prec@5 80.469 (81.263) Epoch: [52][7860/10010] Time 0.314 (0.327) Data 0.000 (0.001) Loss 1.8995 (1.7718) Prec@1 58.594 (59.598) Prec@5 80.469 (81.263) Epoch: [52][7870/10010] Time 0.327 (0.327) Data 0.000 (0.001) Loss 1.5246 (1.7718) Prec@1 66.406 (59.600) Prec@5 79.688 (81.262) Epoch: [52][7880/10010] Time 0.330 (0.327) Data 0.001 (0.001) Loss 1.9336 (1.7717) Prec@1 55.469 (59.602) Prec@5 76.562 (81.262) Epoch: [52][7890/10010] Time 0.341 (0.327) Data 0.001 (0.001) Loss 1.9197 (1.7719) Prec@1 54.688 (59.602) Prec@5 79.688 (81.261) Epoch: [52][7900/10010] Time 0.338 (0.327) Data 0.000 (0.001) Loss 1.8240 (1.7719) Prec@1 59.375 (59.603) Prec@5 75.781 (81.259) Epoch: [52][7910/10010] Time 0.340 (0.327) Data 0.001 (0.001) Loss 1.6587 (1.7718) Prec@1 61.719 (59.605) Prec@5 79.688 (81.260) Epoch: [52][7920/10010] Time 0.322 (0.327) Data 0.000 (0.001) Loss 1.6969 (1.7718) Prec@1 63.281 (59.605) Prec@5 83.594 (81.259) Epoch: [52][7930/10010] Time 0.325 (0.327) Data 0.001 (0.001) Loss 1.4923 (1.7717) Prec@1 66.406 (59.607) Prec@5 85.156 (81.261) Epoch: [52][7940/10010] Time 0.328 (0.327) Data 0.001 (0.001) Loss 2.2972 (1.7717) Prec@1 51.562 (59.609) Prec@5 73.438 (81.262) Epoch: [52][7950/10010] Time 0.338 (0.327) Data 0.000 (0.001) Loss 1.7392 (1.7717) Prec@1 59.375 (59.607) Prec@5 85.156 (81.263) Epoch: [52][7960/10010] Time 0.328 (0.327) Data 0.001 (0.001) Loss 1.6835 (1.7718) Prec@1 60.156 (59.605) Prec@5 80.469 (81.262) Epoch: [52][7970/10010] Time 0.329 (0.327) Data 0.001 (0.001) Loss 1.7837 (1.7718) Prec@1 60.938 (59.605) Prec@5 78.125 (81.262) Epoch: [52][7980/10010] Time 0.343 (0.327) Data 0.000 (0.001) Loss 1.7160 (1.7719) Prec@1 60.156 (59.602) Prec@5 80.469 (81.261) Epoch: [52][7990/10010] Time 0.313 (0.327) Data 0.000 (0.001) Loss 1.9370 (1.7719) Prec@1 62.500 (59.604) Prec@5 78.906 (81.261) Epoch: [52][8000/10010] Time 0.320 (0.327) Data 0.001 (0.001) Loss 1.4793 (1.7719) Prec@1 61.719 (59.602) Prec@5 87.500 (81.262) Epoch: [52][8010/10010] Time 0.338 (0.327) Data 0.001 (0.001) Loss 1.7003 (1.7721) Prec@1 58.594 (59.598) Prec@5 81.250 (81.259) Epoch: [52][8020/10010] Time 0.320 (0.327) Data 0.001 (0.001) Loss 1.8770 (1.7722) Prec@1 59.375 (59.599) Prec@5 78.125 (81.258) Epoch: [52][8030/10010] Time 0.320 (0.327) Data 0.000 (0.001) Loss 1.9092 (1.7722) Prec@1 57.812 (59.599) Prec@5 82.031 (81.258) Epoch: [52][8040/10010] Time 0.313 (0.327) Data 0.000 (0.001) Loss 1.6212 (1.7721) Prec@1 61.719 (59.600) Prec@5 87.500 (81.260) Epoch: [52][8050/10010] Time 0.333 (0.327) Data 0.000 (0.001) Loss 1.8753 (1.7720) Prec@1 55.469 (59.600) Prec@5 84.375 (81.262) Epoch: [52][8060/10010] Time 0.340 (0.327) Data 0.001 (0.001) Loss 1.3779 (1.7720) Prec@1 68.750 (59.602) Prec@5 85.938 (81.264) Epoch: [52][8070/10010] Time 0.320 (0.327) Data 0.001 (0.001) Loss 1.9539 (1.7719) Prec@1 57.031 (59.603) Prec@5 78.906 (81.265) Epoch: [52][8080/10010] Time 0.317 (0.327) Data 0.000 (0.001) Loss 1.8226 (1.7720) Prec@1 60.156 (59.602) Prec@5 77.344 (81.265) Epoch: [52][8090/10010] Time 0.324 (0.327) Data 0.001 (0.001) Loss 1.8979 (1.7722) Prec@1 57.812 (59.597) Prec@5 77.344 (81.262) Epoch: [52][8100/10010] Time 0.318 (0.327) Data 0.001 (0.001) Loss 1.8301 (1.7722) Prec@1 53.125 (59.597) Prec@5 81.250 (81.262) Epoch: [52][8110/10010] Time 0.318 (0.327) Data 0.001 (0.001) Loss 1.8329 (1.7721) Prec@1 58.594 (59.598) Prec@5 79.688 (81.263) Epoch: [52][8120/10010] Time 0.343 (0.327) Data 0.000 (0.001) Loss 1.9956 (1.7722) Prec@1 57.812 (59.598) Prec@5 78.125 (81.262) Epoch: [52][8130/10010] Time 0.317 (0.327) Data 0.001 (0.001) Loss 1.8121 (1.7722) Prec@1 60.156 (59.595) Prec@5 79.688 (81.262) Epoch: [52][8140/10010] Time 0.330 (0.327) Data 0.001 (0.001) Loss 1.5202 (1.7721) Prec@1 66.406 (59.597) Prec@5 83.594 (81.262) Epoch: [52][8150/10010] Time 0.328 (0.327) Data 0.001 (0.001) Loss 1.9940 (1.7723) Prec@1 56.250 (59.594) Prec@5 77.344 (81.260) Epoch: [52][8160/10010] Time 0.311 (0.327) Data 0.000 (0.001) Loss 1.7696 (1.7724) Prec@1 60.938 (59.591) Prec@5 83.594 (81.259) Epoch: [52][8170/10010] Time 0.316 (0.327) Data 0.000 (0.001) Loss 1.7919 (1.7724) Prec@1 63.281 (59.592) Prec@5 83.594 (81.260) Epoch: [52][8180/10010] Time 0.327 (0.327) Data 0.001 (0.001) Loss 1.8137 (1.7724) Prec@1 59.375 (59.590) Prec@5 83.594 (81.260) Epoch: [52][8190/10010] Time 0.334 (0.327) Data 0.000 (0.001) Loss 1.9952 (1.7725) Prec@1 55.469 (59.588) Prec@5 77.344 (81.259) Epoch: [52][8200/10010] Time 0.333 (0.327) Data 0.001 (0.001) Loss 1.8120 (1.7725) Prec@1 57.031 (59.587) Prec@5 78.125 (81.259) Epoch: [52][8210/10010] Time 0.331 (0.327) Data 0.001 (0.001) Loss 2.0044 (1.7726) Prec@1 49.219 (59.586) Prec@5 74.219 (81.258) Epoch: [52][8220/10010] Time 0.321 (0.327) Data 0.001 (0.001) Loss 1.5508 (1.7725) Prec@1 66.406 (59.590) Prec@5 82.812 (81.260) Epoch: [52][8230/10010] Time 0.325 (0.327) Data 0.000 (0.001) Loss 2.0266 (1.7726) Prec@1 56.250 (59.589) Prec@5 78.125 (81.257) Epoch: [52][8240/10010] Time 0.343 (0.327) Data 0.000 (0.001) Loss 1.8374 (1.7728) Prec@1 54.688 (59.587) Prec@5 85.938 (81.255) Epoch: [52][8250/10010] Time 0.314 (0.327) Data 0.001 (0.001) Loss 1.8132 (1.7728) Prec@1 53.125 (59.585) Prec@5 82.031 (81.256) Epoch: [52][8260/10010] Time 0.327 (0.327) Data 0.001 (0.001) Loss 1.5005 (1.7728) Prec@1 63.281 (59.585) Prec@5 87.500 (81.255) Epoch: [52][8270/10010] Time 0.320 (0.327) Data 0.000 (0.001) Loss 1.6651 (1.7727) Prec@1 60.156 (59.586) Prec@5 80.469 (81.257) Epoch: [52][8280/10010] Time 0.327 (0.327) Data 0.001 (0.001) Loss 1.5852 (1.7727) Prec@1 64.844 (59.587) Prec@5 83.594 (81.256) Epoch: [52][8290/10010] Time 0.318 (0.327) Data 0.001 (0.001) Loss 1.7975 (1.7728) Prec@1 58.594 (59.585) Prec@5 80.469 (81.255) Epoch: [52][8300/10010] Time 0.319 (0.327) Data 0.001 (0.001) Loss 2.3647 (1.7729) Prec@1 53.125 (59.584) Prec@5 71.875 (81.255) Epoch: [52][8310/10010] Time 0.319 (0.327) Data 0.001 (0.001) Loss 1.6955 (1.7729) Prec@1 60.938 (59.584) Prec@5 79.688 (81.254) Epoch: [52][8320/10010] Time 0.335 (0.327) Data 0.000 (0.001) Loss 1.6507 (1.7727) Prec@1 61.719 (59.585) Prec@5 82.031 (81.257) Epoch: [52][8330/10010] Time 0.323 (0.327) Data 0.000 (0.001) Loss 1.9797 (1.7728) Prec@1 62.500 (59.583) Prec@5 78.125 (81.254) Epoch: [52][8340/10010] Time 0.321 (0.327) Data 0.001 (0.001) Loss 2.0905 (1.7729) Prec@1 57.031 (59.581) Prec@5 75.000 (81.254) Epoch: [52][8350/10010] Time 0.338 (0.327) Data 0.000 (0.001) Loss 1.7406 (1.7730) Prec@1 57.812 (59.580) Prec@5 82.812 (81.252) Epoch: [52][8360/10010] Time 0.336 (0.327) Data 0.000 (0.001) Loss 1.8068 (1.7731) Prec@1 60.156 (59.578) Prec@5 78.906 (81.251) Epoch: [52][8370/10010] Time 0.322 (0.327) Data 0.001 (0.001) Loss 1.6805 (1.7731) Prec@1 60.156 (59.578) Prec@5 82.812 (81.251) Epoch: [52][8380/10010] Time 0.334 (0.327) Data 0.000 (0.001) Loss 1.6916 (1.7729) Prec@1 67.188 (59.582) Prec@5 80.469 (81.253) Epoch: [52][8390/10010] Time 0.340 (0.327) Data 0.001 (0.001) Loss 1.7434 (1.7729) Prec@1 61.719 (59.582) Prec@5 82.031 (81.253) Epoch: [52][8400/10010] Time 0.335 (0.327) Data 0.000 (0.001) Loss 2.1175 (1.7730) Prec@1 51.562 (59.583) Prec@5 77.344 (81.250) Epoch: [52][8410/10010] Time 0.335 (0.327) Data 0.001 (0.001) Loss 1.8934 (1.7730) Prec@1 57.812 (59.582) Prec@5 79.688 (81.251) Epoch: [52][8420/10010] Time 0.320 (0.327) Data 0.001 (0.001) Loss 1.5607 (1.7730) Prec@1 68.750 (59.581) Prec@5 84.375 (81.251) Epoch: [52][8430/10010] Time 0.333 (0.327) Data 0.000 (0.001) Loss 1.8469 (1.7731) Prec@1 60.156 (59.581) Prec@5 80.469 (81.249) Epoch: [52][8440/10010] Time 0.335 (0.327) Data 0.000 (0.001) Loss 1.6095 (1.7731) Prec@1 65.625 (59.583) Prec@5 84.375 (81.249) Epoch: [52][8450/10010] Time 0.323 (0.327) Data 0.000 (0.001) Loss 1.5275 (1.7729) Prec@1 60.938 (59.585) Prec@5 85.938 (81.251) Epoch: [52][8460/10010] Time 0.338 (0.327) Data 0.001 (0.001) Loss 1.7271 (1.7731) Prec@1 60.156 (59.584) Prec@5 80.469 (81.250) Epoch: [52][8470/10010] Time 0.325 (0.327) Data 0.001 (0.001) Loss 1.8155 (1.7732) Prec@1 57.031 (59.581) Prec@5 85.156 (81.249) Epoch: [52][8480/10010] Time 0.318 (0.327) Data 0.000 (0.001) Loss 1.9521 (1.7733) Prec@1 59.375 (59.580) Prec@5 79.688 (81.247) Epoch: [52][8490/10010] Time 0.340 (0.327) Data 0.001 (0.001) Loss 2.1286 (1.7733) Prec@1 50.781 (59.579) Prec@5 77.344 (81.246) Epoch: [52][8500/10010] Time 0.323 (0.327) Data 0.001 (0.001) Loss 1.9786 (1.7734) Prec@1 53.906 (59.578) Prec@5 77.344 (81.245) Epoch: [52][8510/10010] Time 0.341 (0.327) Data 0.000 (0.001) Loss 1.8140 (1.7736) Prec@1 58.594 (59.573) Prec@5 81.250 (81.241) Epoch: [52][8520/10010] Time 0.318 (0.327) Data 0.001 (0.001) Loss 1.8865 (1.7737) Prec@1 53.125 (59.572) Prec@5 79.688 (81.241) Epoch: [52][8530/10010] Time 0.340 (0.327) Data 0.001 (0.001) Loss 1.7319 (1.7736) Prec@1 64.062 (59.574) Prec@5 83.594 (81.243) Epoch: [52][8540/10010] Time 0.319 (0.327) Data 0.000 (0.001) Loss 1.8295 (1.7737) Prec@1 66.406 (59.573) Prec@5 81.250 (81.242) Epoch: [52][8550/10010] Time 0.339 (0.327) Data 0.001 (0.001) Loss 1.8016 (1.7736) Prec@1 60.156 (59.576) Prec@5 82.812 (81.243) Epoch: [52][8560/10010] Time 0.320 (0.327) Data 0.000 (0.001) Loss 1.7235 (1.7737) Prec@1 59.375 (59.571) Prec@5 85.938 (81.242) Epoch: [52][8570/10010] Time 0.323 (0.327) Data 0.000 (0.001) Loss 1.7061 (1.7737) Prec@1 64.844 (59.571) Prec@5 80.469 (81.241) Epoch: [52][8580/10010] Time 0.327 (0.327) Data 0.001 (0.001) Loss 1.9035 (1.7738) Prec@1 57.812 (59.570) Prec@5 75.000 (81.239) Epoch: [52][8590/10010] Time 0.330 (0.327) Data 0.000 (0.001) Loss 2.1000 (1.7740) Prec@1 57.031 (59.565) Prec@5 75.781 (81.237) Epoch: [52][8600/10010] Time 0.321 (0.327) Data 0.001 (0.001) Loss 1.8196 (1.7740) Prec@1 58.594 (59.566) Prec@5 83.594 (81.238) Epoch: [52][8610/10010] Time 0.316 (0.327) Data 0.001 (0.001) Loss 1.7470 (1.7740) Prec@1 58.594 (59.567) Prec@5 82.812 (81.239) Epoch: [52][8620/10010] Time 0.318 (0.327) Data 0.001 (0.001) Loss 1.6645 (1.7741) Prec@1 64.062 (59.567) Prec@5 82.812 (81.236) Epoch: [52][8630/10010] Time 0.344 (0.327) Data 0.000 (0.001) Loss 2.1277 (1.7742) Prec@1 55.469 (59.565) Prec@5 75.781 (81.235) Epoch: [52][8640/10010] Time 0.335 (0.327) Data 0.000 (0.001) Loss 1.9628 (1.7742) Prec@1 57.812 (59.565) Prec@5 75.000 (81.234) Epoch: [52][8650/10010] Time 0.336 (0.327) Data 0.001 (0.001) Loss 1.7454 (1.7742) Prec@1 59.375 (59.565) Prec@5 78.125 (81.234) Epoch: [52][8660/10010] Time 0.317 (0.327) Data 0.000 (0.001) Loss 2.0341 (1.7742) Prec@1 49.219 (59.565) Prec@5 78.906 (81.234) Epoch: [52][8670/10010] Time 0.336 (0.327) Data 0.001 (0.001) Loss 1.8665 (1.7742) Prec@1 57.812 (59.565) Prec@5 82.812 (81.234) Epoch: [52][8680/10010] Time 0.340 (0.327) Data 0.001 (0.001) Loss 1.6474 (1.7743) Prec@1 61.719 (59.565) Prec@5 84.375 (81.233) Epoch: [52][8690/10010] Time 0.318 (0.327) Data 0.001 (0.001) Loss 1.8081 (1.7742) Prec@1 60.156 (59.565) Prec@5 82.031 (81.235) Epoch: [52][8700/10010] Time 0.310 (0.327) Data 0.001 (0.001) Loss 1.6200 (1.7742) Prec@1 64.844 (59.565) Prec@5 87.500 (81.234) Epoch: [52][8710/10010] Time 0.332 (0.327) Data 0.001 (0.001) Loss 1.5749 (1.7742) Prec@1 66.406 (59.569) Prec@5 86.719 (81.235) Epoch: [52][8720/10010] Time 0.316 (0.327) Data 0.001 (0.001) Loss 2.0976 (1.7743) Prec@1 55.469 (59.567) Prec@5 75.000 (81.234) Epoch: [52][8730/10010] Time 0.336 (0.327) Data 0.000 (0.001) Loss 1.6603 (1.7742) Prec@1 68.750 (59.569) Prec@5 79.688 (81.233) Epoch: [52][8740/10010] Time 0.318 (0.327) Data 0.001 (0.001) Loss 1.6416 (1.7742) Prec@1 61.719 (59.569) Prec@5 84.375 (81.232) Epoch: [52][8750/10010] Time 0.324 (0.327) Data 0.001 (0.001) Loss 1.9193 (1.7742) Prec@1 57.812 (59.569) Prec@5 80.469 (81.233) Epoch: [52][8760/10010] Time 0.336 (0.327) Data 0.000 (0.001) Loss 1.8910 (1.7741) Prec@1 53.906 (59.569) Prec@5 82.031 (81.235) Epoch: [52][8770/10010] Time 0.341 (0.327) Data 0.001 (0.001) Loss 2.1135 (1.7741) Prec@1 54.688 (59.570) Prec@5 76.562 (81.235) Epoch: [52][8780/10010] Time 0.331 (0.327) Data 0.000 (0.001) Loss 1.7973 (1.7740) Prec@1 56.250 (59.570) Prec@5 83.594 (81.237) Epoch: [52][8790/10010] Time 0.341 (0.327) Data 0.001 (0.001) Loss 1.8948 (1.7740) Prec@1 63.281 (59.571) Prec@5 81.250 (81.238) Epoch: [52][8800/10010] Time 0.340 (0.327) Data 0.000 (0.001) Loss 1.9098 (1.7739) Prec@1 60.938 (59.573) Prec@5 78.906 (81.240) Epoch: [52][8810/10010] Time 0.319 (0.327) Data 0.001 (0.001) Loss 1.7331 (1.7739) Prec@1 58.594 (59.574) Prec@5 83.594 (81.241) Epoch: [52][8820/10010] Time 0.318 (0.327) Data 0.000 (0.001) Loss 1.9013 (1.7739) Prec@1 51.562 (59.574) Prec@5 79.688 (81.241) Epoch: [52][8830/10010] Time 0.322 (0.327) Data 0.001 (0.001) Loss 1.6888 (1.7739) Prec@1 61.719 (59.574) Prec@5 83.594 (81.241) Epoch: [52][8840/10010] Time 0.321 (0.327) Data 0.001 (0.001) Loss 1.8650 (1.7738) Prec@1 57.812 (59.576) Prec@5 81.250 (81.242) Epoch: [52][8850/10010] Time 0.314 (0.327) Data 0.001 (0.001) Loss 1.5951 (1.7738) Prec@1 60.156 (59.577) Prec@5 85.156 (81.243) Epoch: [52][8860/10010] Time 0.319 (0.327) Data 0.001 (0.001) Loss 1.8723 (1.7738) Prec@1 60.938 (59.577) Prec@5 77.344 (81.242) Epoch: [52][8870/10010] Time 0.330 (0.327) Data 0.001 (0.001) Loss 2.0279 (1.7738) Prec@1 57.812 (59.576) Prec@5 76.562 (81.241) Epoch: [52][8880/10010] Time 0.319 (0.327) Data 0.000 (0.001) Loss 1.5991 (1.7739) Prec@1 59.375 (59.576) Prec@5 86.719 (81.241) Epoch: [52][8890/10010] Time 0.328 (0.327) Data 0.001 (0.001) Loss 2.0886 (1.7740) Prec@1 50.781 (59.576) Prec@5 79.688 (81.239) Epoch: [52][8900/10010] Time 0.319 (0.327) Data 0.000 (0.001) Loss 1.7765 (1.7740) Prec@1 63.281 (59.577) Prec@5 82.031 (81.238) Epoch: [52][8910/10010] Time 0.316 (0.327) Data 0.001 (0.001) Loss 1.6391 (1.7739) Prec@1 61.719 (59.578) Prec@5 81.250 (81.238) Epoch: [52][8920/10010] Time 0.322 (0.327) Data 0.000 (0.001) Loss 2.0002 (1.7739) Prec@1 56.250 (59.577) Prec@5 73.438 (81.237) Epoch: [52][8930/10010] Time 0.323 (0.327) Data 0.001 (0.001) Loss 2.0081 (1.7740) Prec@1 53.906 (59.577) Prec@5 78.125 (81.237) Epoch: [52][8940/10010] Time 0.323 (0.327) Data 0.001 (0.001) Loss 1.8075 (1.7740) Prec@1 57.031 (59.578) Prec@5 76.562 (81.237) Epoch: [52][8950/10010] Time 0.326 (0.327) Data 0.001 (0.001) Loss 1.9659 (1.7740) Prec@1 53.125 (59.578) Prec@5 76.562 (81.238) Epoch: [52][8960/10010] Time 0.335 (0.327) Data 0.000 (0.001) Loss 1.5027 (1.7739) Prec@1 66.406 (59.578) Prec@5 86.719 (81.240) Epoch: [52][8970/10010] Time 0.317 (0.327) Data 0.001 (0.001) Loss 1.6717 (1.7740) Prec@1 53.906 (59.577) Prec@5 82.031 (81.239) Epoch: [52][8980/10010] Time 0.320 (0.327) Data 0.001 (0.001) Loss 1.7689 (1.7740) Prec@1 61.719 (59.578) Prec@5 79.688 (81.238) Epoch: [52][8990/10010] Time 0.332 (0.327) Data 0.001 (0.001) Loss 1.8371 (1.7740) Prec@1 50.781 (59.576) Prec@5 78.906 (81.240) Epoch: [52][9000/10010] Time 0.320 (0.327) Data 0.001 (0.001) Loss 1.9224 (1.7740) Prec@1 57.031 (59.576) Prec@5 78.125 (81.239) Epoch: [52][9010/10010] Time 0.320 (0.327) Data 0.001 (0.001) Loss 1.5698 (1.7741) Prec@1 65.625 (59.575) Prec@5 82.031 (81.237) Epoch: [52][9020/10010] Time 0.320 (0.327) Data 0.000 (0.001) Loss 2.1607 (1.7743) Prec@1 55.469 (59.573) Prec@5 73.438 (81.234) Epoch: [52][9030/10010] Time 0.327 (0.327) Data 0.001 (0.001) Loss 1.9370 (1.7742) Prec@1 58.594 (59.576) Prec@5 82.812 (81.236) Epoch: [52][9040/10010] Time 0.339 (0.327) Data 0.001 (0.001) Loss 1.4979 (1.7742) Prec@1 57.812 (59.576) Prec@5 86.719 (81.235) Epoch: [52][9050/10010] Time 0.318 (0.327) Data 0.000 (0.001) Loss 1.7623 (1.7742) Prec@1 60.156 (59.576) Prec@5 78.906 (81.234) Epoch: [52][9060/10010] Time 0.331 (0.327) Data 0.000 (0.001) Loss 1.7555 (1.7742) Prec@1 60.938 (59.575) Prec@5 82.031 (81.235) Epoch: [52][9070/10010] Time 0.338 (0.327) Data 0.001 (0.001) Loss 1.4955 (1.7742) Prec@1 65.625 (59.578) Prec@5 83.594 (81.235) Epoch: [52][9080/10010] Time 0.326 (0.327) Data 0.001 (0.001) Loss 2.0969 (1.7742) Prec@1 53.906 (59.576) Prec@5 78.906 (81.235) Epoch: [52][9090/10010] Time 0.309 (0.327) Data 0.001 (0.001) Loss 1.7618 (1.7743) Prec@1 61.719 (59.574) Prec@5 85.156 (81.234) Epoch: [52][9100/10010] Time 0.325 (0.327) Data 0.001 (0.001) Loss 1.7971 (1.7743) Prec@1 57.812 (59.573) Prec@5 81.250 (81.234) Epoch: [52][9110/10010] Time 0.322 (0.327) Data 0.001 (0.001) Loss 1.6142 (1.7742) Prec@1 66.406 (59.574) Prec@5 81.250 (81.235) Epoch: [52][9120/10010] Time 0.323 (0.327) Data 0.001 (0.001) Loss 2.1348 (1.7742) Prec@1 55.469 (59.576) Prec@5 78.125 (81.235) Epoch: [52][9130/10010] Time 0.319 (0.327) Data 0.001 (0.001) Loss 1.9294 (1.7742) Prec@1 58.594 (59.575) Prec@5 78.906 (81.233) Epoch: [52][9140/10010] Time 0.312 (0.327) Data 0.000 (0.001) Loss 1.6384 (1.7742) Prec@1 60.938 (59.576) Prec@5 82.812 (81.235) Epoch: [52][9150/10010] Time 0.325 (0.327) Data 0.001 (0.001) Loss 2.1811 (1.7742) Prec@1 54.688 (59.575) Prec@5 75.781 (81.235) Epoch: [52][9160/10010] Time 0.334 (0.327) Data 0.001 (0.001) Loss 1.8415 (1.7742) Prec@1 59.375 (59.576) Prec@5 80.469 (81.237) Epoch: [52][9170/10010] Time 0.332 (0.327) Data 0.001 (0.001) Loss 1.7562 (1.7743) Prec@1 57.812 (59.577) Prec@5 84.375 (81.236) Epoch: [52][9180/10010] Time 0.339 (0.327) Data 0.001 (0.001) Loss 1.6615 (1.7743) Prec@1 64.062 (59.577) Prec@5 81.250 (81.235) Epoch: [52][9190/10010] Time 0.320 (0.327) Data 0.000 (0.001) Loss 1.6889 (1.7743) Prec@1 61.719 (59.578) Prec@5 79.688 (81.234) Epoch: [52][9200/10010] Time 0.317 (0.327) Data 0.001 (0.001) Loss 1.6131 (1.7743) Prec@1 60.938 (59.580) Prec@5 83.594 (81.235) Epoch: [52][9210/10010] Time 0.323 (0.327) Data 0.001 (0.001) Loss 2.1534 (1.7743) Prec@1 50.781 (59.581) Prec@5 75.781 (81.235) Epoch: [52][9220/10010] Time 0.311 (0.327) Data 0.001 (0.001) Loss 1.8550 (1.7743) Prec@1 55.469 (59.578) Prec@5 80.469 (81.233) Epoch: [52][9230/10010] Time 0.331 (0.327) Data 0.001 (0.001) Loss 1.7315 (1.7743) Prec@1 58.594 (59.577) Prec@5 78.906 (81.234) Epoch: [52][9240/10010] Time 0.327 (0.327) Data 0.001 (0.001) Loss 2.2354 (1.7746) Prec@1 52.344 (59.575) Prec@5 76.562 (81.231) Epoch: [52][9250/10010] Time 0.331 (0.327) Data 0.001 (0.001) Loss 1.6545 (1.7746) Prec@1 60.938 (59.574) Prec@5 81.250 (81.230) Epoch: [52][9260/10010] Time 0.320 (0.327) Data 0.000 (0.001) Loss 1.7695 (1.7746) Prec@1 54.688 (59.573) Prec@5 81.250 (81.231) Epoch: [52][9270/10010] Time 0.339 (0.327) Data 0.001 (0.001) Loss 1.7952 (1.7745) Prec@1 53.906 (59.572) Prec@5 81.250 (81.232) Epoch: [52][9280/10010] Time 0.313 (0.327) Data 0.001 (0.001) Loss 1.7937 (1.7745) Prec@1 61.719 (59.573) Prec@5 84.375 (81.231) Epoch: [52][9290/10010] Time 0.321 (0.327) Data 0.001 (0.001) Loss 1.5560 (1.7745) Prec@1 67.969 (59.574) Prec@5 85.156 (81.232) Epoch: [52][9300/10010] Time 0.342 (0.327) Data 0.000 (0.001) Loss 1.6509 (1.7745) Prec@1 60.938 (59.572) Prec@5 85.938 (81.232) Epoch: [52][9310/10010] Time 0.319 (0.327) Data 0.001 (0.001) Loss 1.7112 (1.7745) Prec@1 60.156 (59.573) Prec@5 84.375 (81.232) Epoch: [52][9320/10010] Time 0.331 (0.327) Data 0.001 (0.001) Loss 1.7156 (1.7745) Prec@1 59.375 (59.573) Prec@5 82.812 (81.233) Epoch: [52][9330/10010] Time 0.320 (0.327) Data 0.001 (0.001) Loss 1.6416 (1.7745) Prec@1 64.844 (59.573) Prec@5 81.250 (81.233) Epoch: [52][9340/10010] Time 0.328 (0.327) Data 0.000 (0.001) Loss 1.6750 (1.7744) Prec@1 63.281 (59.575) Prec@5 86.719 (81.234) Epoch: [52][9350/10010] Time 0.340 (0.327) Data 0.001 (0.001) Loss 2.1265 (1.7745) Prec@1 49.219 (59.574) Prec@5 75.000 (81.233) Epoch: [52][9360/10010] Time 0.317 (0.327) Data 0.001 (0.001) Loss 1.6135 (1.7744) Prec@1 61.719 (59.573) Prec@5 82.812 (81.233) Epoch: [52][9370/10010] Time 0.338 (0.327) Data 0.000 (0.001) Loss 1.6767 (1.7745) Prec@1 64.062 (59.574) Prec@5 85.156 (81.233) Epoch: [52][9380/10010] Time 0.337 (0.327) Data 0.001 (0.001) Loss 1.6132 (1.7745) Prec@1 63.281 (59.573) Prec@5 85.156 (81.231) Epoch: [52][9390/10010] Time 0.325 (0.327) Data 0.001 (0.001) Loss 1.5837 (1.7745) Prec@1 62.500 (59.574) Prec@5 82.812 (81.233) Epoch: [52][9400/10010] Time 0.317 (0.327) Data 0.001 (0.001) Loss 2.0065 (1.7746) Prec@1 55.469 (59.572) Prec@5 77.344 (81.230) Epoch: [52][9410/10010] Time 0.335 (0.327) Data 0.001 (0.001) Loss 1.7241 (1.7746) Prec@1 62.500 (59.572) Prec@5 80.469 (81.230) Epoch: [52][9420/10010] Time 0.315 (0.327) Data 0.001 (0.001) Loss 1.7548 (1.7746) Prec@1 60.156 (59.573) Prec@5 81.250 (81.231) Epoch: [52][9430/10010] Time 0.316 (0.327) Data 0.001 (0.001) Loss 1.4740 (1.7747) Prec@1 62.500 (59.573) Prec@5 85.156 (81.230) Epoch: [52][9440/10010] Time 0.338 (0.327) Data 0.000 (0.001) Loss 1.5223 (1.7746) Prec@1 64.062 (59.573) Prec@5 86.719 (81.231) Epoch: [52][9450/10010] Time 0.328 (0.327) Data 0.000 (0.001) Loss 1.7041 (1.7746) Prec@1 62.500 (59.575) Prec@5 83.594 (81.231) Epoch: [52][9460/10010] Time 0.316 (0.327) Data 0.000 (0.001) Loss 1.6983 (1.7745) Prec@1 61.719 (59.575) Prec@5 82.812 (81.232) Epoch: [52][9470/10010] Time 0.319 (0.327) Data 0.001 (0.001) Loss 1.7476 (1.7746) Prec@1 60.938 (59.575) Prec@5 79.688 (81.231) Epoch: [52][9480/10010] Time 0.338 (0.327) Data 0.001 (0.001) Loss 1.4901 (1.7746) Prec@1 64.062 (59.573) Prec@5 85.938 (81.230) Epoch: [52][9490/10010] Time 0.322 (0.327) Data 0.001 (0.001) Loss 1.3563 (1.7745) Prec@1 69.531 (59.576) Prec@5 85.938 (81.232) Epoch: [52][9500/10010] Time 0.339 (0.327) Data 0.000 (0.001) Loss 1.6300 (1.7745) Prec@1 61.719 (59.577) Prec@5 84.375 (81.231) Epoch: [52][9510/10010] Time 0.341 (0.327) Data 0.001 (0.001) Loss 1.7634 (1.7746) Prec@1 57.812 (59.578) Prec@5 78.906 (81.230) Epoch: [52][9520/10010] Time 0.313 (0.327) Data 0.001 (0.001) Loss 1.4657 (1.7745) Prec@1 65.625 (59.579) Prec@5 85.156 (81.229) Epoch: [52][9530/10010] Time 0.342 (0.327) Data 0.001 (0.001) Loss 1.7000 (1.7745) Prec@1 60.156 (59.580) Prec@5 78.906 (81.230) Epoch: [52][9540/10010] Time 0.333 (0.327) Data 0.001 (0.001) Loss 1.7511 (1.7745) Prec@1 62.500 (59.582) Prec@5 80.469 (81.231) Epoch: [52][9550/10010] Time 0.335 (0.327) Data 0.001 (0.001) Loss 1.7687 (1.7744) Prec@1 61.719 (59.583) Prec@5 82.031 (81.231) Epoch: [52][9560/10010] Time 0.319 (0.327) Data 0.001 (0.001) Loss 1.7990 (1.7745) Prec@1 57.031 (59.581) Prec@5 84.375 (81.230) Epoch: [52][9570/10010] Time 0.321 (0.327) Data 0.001 (0.001) Loss 1.9565 (1.7745) Prec@1 53.125 (59.581) Prec@5 78.125 (81.230) Epoch: [52][9580/10010] Time 0.316 (0.327) Data 0.000 (0.001) Loss 1.6997 (1.7745) Prec@1 60.156 (59.580) Prec@5 85.156 (81.230) Epoch: [52][9590/10010] Time 0.318 (0.327) Data 0.000 (0.001) Loss 2.0643 (1.7745) Prec@1 54.688 (59.579) Prec@5 79.688 (81.231) Epoch: [52][9600/10010] Time 0.318 (0.327) Data 0.001 (0.001) Loss 1.7326 (1.7746) Prec@1 62.500 (59.579) Prec@5 82.812 (81.230) Epoch: [52][9610/10010] Time 0.315 (0.327) Data 0.001 (0.001) Loss 1.9446 (1.7746) Prec@1 55.469 (59.579) Prec@5 76.562 (81.229) Epoch: [52][9620/10010] Time 0.330 (0.327) Data 0.001 (0.001) Loss 1.6641 (1.7745) Prec@1 59.375 (59.580) Prec@5 82.812 (81.230) Epoch: [52][9630/10010] Time 0.329 (0.327) Data 0.000 (0.001) Loss 2.1231 (1.7746) Prec@1 51.562 (59.579) Prec@5 75.000 (81.230) Epoch: [52][9640/10010] Time 0.336 (0.327) Data 0.001 (0.001) Loss 2.0696 (1.7746) Prec@1 60.938 (59.580) Prec@5 78.125 (81.228) Epoch: [52][9650/10010] Time 0.331 (0.327) Data 0.001 (0.001) Loss 1.5737 (1.7746) Prec@1 59.375 (59.580) Prec@5 82.031 (81.228) Epoch: [52][9660/10010] Time 0.334 (0.327) Data 0.000 (0.001) Loss 2.0003 (1.7746) Prec@1 58.594 (59.581) Prec@5 75.781 (81.228) Epoch: [52][9670/10010] Time 0.333 (0.327) Data 0.001 (0.001) Loss 1.8159 (1.7746) Prec@1 62.500 (59.581) Prec@5 81.250 (81.227) Epoch: [52][9680/10010] Time 0.332 (0.327) Data 0.000 (0.001) Loss 1.8840 (1.7747) Prec@1 52.344 (59.580) Prec@5 81.250 (81.226) Epoch: [52][9690/10010] Time 0.336 (0.327) Data 0.001 (0.001) Loss 1.6584 (1.7746) Prec@1 64.062 (59.583) Prec@5 82.031 (81.227) Epoch: [52][9700/10010] Time 0.313 (0.327) Data 0.000 (0.001) Loss 1.8122 (1.7746) Prec@1 63.281 (59.581) Prec@5 78.125 (81.226) Epoch: [52][9710/10010] Time 0.332 (0.327) Data 0.001 (0.001) Loss 1.9905 (1.7746) Prec@1 58.594 (59.581) Prec@5 76.562 (81.225) Epoch: [52][9720/10010] Time 0.333 (0.327) Data 0.001 (0.001) Loss 1.7347 (1.7747) Prec@1 60.938 (59.579) Prec@5 79.688 (81.223) Epoch: [52][9730/10010] Time 0.316 (0.327) Data 0.001 (0.001) Loss 1.4538 (1.7746) Prec@1 67.969 (59.582) Prec@5 87.500 (81.225) Epoch: [52][9740/10010] Time 0.327 (0.327) Data 0.000 (0.001) Loss 1.9494 (1.7747) Prec@1 56.250 (59.583) Prec@5 78.906 (81.224) Epoch: [52][9750/10010] Time 0.333 (0.327) Data 0.001 (0.001) Loss 1.8838 (1.7747) Prec@1 60.156 (59.582) Prec@5 80.469 (81.225) Epoch: [52][9760/10010] Time 0.326 (0.327) Data 0.001 (0.001) Loss 1.6627 (1.7747) Prec@1 62.500 (59.579) Prec@5 82.812 (81.223) Epoch: [52][9770/10010] Time 0.317 (0.327) Data 0.001 (0.001) Loss 1.7702 (1.7747) Prec@1 62.500 (59.578) Prec@5 80.469 (81.222) Epoch: [52][9780/10010] Time 0.333 (0.327) Data 0.001 (0.001) Loss 1.9149 (1.7748) Prec@1 54.688 (59.578) Prec@5 78.125 (81.221) Epoch: [52][9790/10010] Time 0.338 (0.327) Data 0.000 (0.001) Loss 1.9242 (1.7748) Prec@1 55.469 (59.577) Prec@5 78.906 (81.221) Epoch: [52][9800/10010] Time 0.314 (0.327) Data 0.001 (0.001) Loss 1.7844 (1.7748) Prec@1 63.281 (59.578) Prec@5 78.906 (81.220) Epoch: [52][9810/10010] Time 0.341 (0.327) Data 0.001 (0.001) Loss 1.5851 (1.7748) Prec@1 61.719 (59.579) Prec@5 86.719 (81.222) Epoch: [52][9820/10010] Time 0.324 (0.327) Data 0.001 (0.001) Loss 1.9120 (1.7748) Prec@1 58.594 (59.578) Prec@5 82.031 (81.223) Epoch: [52][9830/10010] Time 0.341 (0.327) Data 0.001 (0.001) Loss 1.4847 (1.7749) Prec@1 66.406 (59.577) Prec@5 84.375 (81.222) Epoch: [52][9840/10010] Time 0.328 (0.327) Data 0.000 (0.001) Loss 1.4007 (1.7748) Prec@1 63.281 (59.579) Prec@5 87.500 (81.223) Epoch: [52][9850/10010] Time 0.333 (0.327) Data 0.001 (0.001) Loss 1.8257 (1.7749) Prec@1 55.469 (59.576) Prec@5 81.250 (81.221) Epoch: [52][9860/10010] Time 0.324 (0.327) Data 0.000 (0.001) Loss 2.0077 (1.7749) Prec@1 57.812 (59.575) Prec@5 80.469 (81.222) Epoch: [52][9870/10010] Time 0.334 (0.327) Data 0.000 (0.001) Loss 1.9598 (1.7749) Prec@1 57.031 (59.573) Prec@5 78.906 (81.222) Epoch: [52][9880/10010] Time 0.330 (0.327) Data 0.001 (0.001) Loss 1.8834 (1.7749) Prec@1 58.594 (59.573) Prec@5 80.469 (81.223) Epoch: [52][9890/10010] Time 0.320 (0.327) Data 0.001 (0.001) Loss 1.7500 (1.7749) Prec@1 60.938 (59.574) Prec@5 78.906 (81.223) Epoch: [52][9900/10010] Time 0.333 (0.327) Data 0.001 (0.001) Loss 1.9356 (1.7749) Prec@1 56.250 (59.573) Prec@5 75.781 (81.222) Epoch: [52][9910/10010] Time 0.322 (0.327) Data 0.000 (0.001) Loss 1.7369 (1.7749) Prec@1 59.375 (59.572) Prec@5 79.688 (81.222) Epoch: [52][9920/10010] Time 0.322 (0.327) Data 0.001 (0.001) Loss 1.6378 (1.7749) Prec@1 63.281 (59.572) Prec@5 81.250 (81.222) Epoch: [52][9930/10010] Time 0.339 (0.327) Data 0.000 (0.001) Loss 1.9348 (1.7750) Prec@1 53.125 (59.571) Prec@5 78.125 (81.221) Epoch: [52][9940/10010] Time 0.329 (0.327) Data 0.000 (0.001) Loss 1.7256 (1.7750) Prec@1 60.938 (59.571) Prec@5 85.156 (81.223) Epoch: [52][9950/10010] Time 0.342 (0.327) Data 0.001 (0.001) Loss 1.8751 (1.7750) Prec@1 58.594 (59.571) Prec@5 78.906 (81.222) Epoch: [52][9960/10010] Time 0.326 (0.327) Data 0.001 (0.001) Loss 1.6556 (1.7750) Prec@1 60.156 (59.572) Prec@5 85.156 (81.223) Epoch: [52][9970/10010] Time 0.313 (0.327) Data 0.001 (0.001) Loss 1.6370 (1.7749) Prec@1 60.938 (59.573) Prec@5 83.594 (81.224) Epoch: [52][9980/10010] Time 0.333 (0.327) Data 0.001 (0.001) Loss 1.5895 (1.7750) Prec@1 66.406 (59.573) Prec@5 83.594 (81.223) Epoch: [52][9990/10010] Time 0.339 (0.327) Data 0.001 (0.001) Loss 1.8217 (1.7750) Prec@1 55.469 (59.573) Prec@5 82.812 (81.224) Epoch: [52][10000/10010] Time 0.311 (0.327) Data 0.000 (0.001) Loss 1.7855 (1.7751) Prec@1 61.719 (59.572) Prec@5 80.469 (81.224) Test: [0/391] Time 1.138 (1.138) Loss 0.9698 (0.9698) Prec@1 77.344 (77.344) Prec@5 89.844 (89.844) Test: [10/391] Time 0.107 (0.214) Loss 1.6353 (0.8725) Prec@1 64.062 (79.688) Prec@5 86.719 (93.608) Test: [20/391] Time 0.104 (0.163) Loss 1.0636 (1.1421) Prec@1 71.875 (72.470) Prec@5 90.625 (90.476) Test: [30/391] Time 0.106 (0.147) Loss 1.8636 (1.2950) Prec@1 60.938 (68.246) Prec@5 83.594 (89.214) Test: [40/391] Time 0.108 (0.136) Loss 1.1084 (1.1658) Prec@1 71.875 (71.113) Prec@5 92.188 (90.434) Test: [50/391] Time 0.103 (0.130) Loss 0.7727 (1.2024) Prec@1 78.125 (70.650) Prec@5 94.531 (89.905) Test: [60/391] Time 0.106 (0.126) Loss 1.0311 (1.1267) Prec@1 75.781 (72.387) Prec@5 92.188 (90.676) Test: [70/391] Time 0.112 (0.125) Loss 1.1609 (1.1799) Prec@1 63.281 (70.599) Prec@5 89.844 (90.284) Test: [80/391] Time 0.108 (0.123) Loss 1.3303 (1.2091) Prec@1 64.062 (69.425) Prec@5 87.500 (90.056) Test: [90/391] Time 0.114 (0.121) Loss 1.4659 (1.2259) Prec@1 51.562 (68.896) Prec@5 89.062 (89.973) Test: [100/391] Time 0.110 (0.119) Loss 0.9191 (1.2044) Prec@1 69.531 (68.928) Prec@5 95.312 (90.362) Test: [110/391] Time 0.106 (0.118) Loss 1.6503 (1.1979) Prec@1 46.875 (68.743) Prec@5 92.969 (90.632) Test: [120/391] Time 0.101 (0.117) Loss 0.9369 (1.1884) Prec@1 69.531 (69.105) Prec@5 95.312 (90.722) Test: [130/391] Time 0.104 (0.116) Loss 0.6481 (1.1798) Prec@1 87.500 (69.472) Prec@5 93.750 (90.792) Test: [140/391] Time 0.110 (0.116) Loss 1.3873 (1.1769) Prec@1 60.938 (69.542) Prec@5 90.625 (90.836) Test: [150/391] Time 0.108 (0.115) Loss 0.6670 (1.1816) Prec@1 76.562 (69.454) Prec@5 99.219 (90.687) Test: [160/391] Time 0.110 (0.115) Loss 1.1566 (1.1840) Prec@1 68.750 (69.444) Prec@5 90.625 (90.606) Test: [170/391] Time 0.108 (0.115) Loss 2.0522 (1.2163) Prec@1 46.094 (68.768) Prec@5 82.031 (90.223) Test: [180/391] Time 0.107 (0.114) Loss 2.2014 (1.2523) Prec@1 47.656 (68.090) Prec@5 78.906 (89.732) Test: [190/391] Time 0.103 (0.114) Loss 2.5055 (1.2876) Prec@1 48.438 (67.527) Prec@5 75.000 (89.230) Test: [200/391] Time 0.098 (0.113) Loss 1.6189 (1.3270) Prec@1 57.812 (66.857) Prec@5 83.594 (88.701) Test: [210/391] Time 0.103 (0.113) Loss 1.4973 (1.3401) Prec@1 67.188 (66.662) Prec@5 84.375 (88.503) Test: [220/391] Time 0.106 (0.113) Loss 0.7935 (1.3489) Prec@1 79.688 (66.544) Prec@5 91.406 (88.292) Test: [230/391] Time 0.105 (0.112) Loss 2.1017 (1.3604) Prec@1 52.344 (66.410) Prec@5 78.906 (88.129) Test: [240/391] Time 0.102 (0.112) Loss 1.4800 (1.3660) Prec@1 69.531 (66.409) Prec@5 85.938 (88.012) Test: [250/391] Time 0.109 (0.112) Loss 0.9599 (1.3929) Prec@1 79.688 (65.809) Prec@5 89.844 (87.662) Test: [260/391] Time 0.102 (0.112) Loss 1.6159 (1.4110) Prec@1 60.938 (65.487) Prec@5 82.812 (87.431) Test: [270/391] Time 0.101 (0.111) Loss 2.5548 (1.4232) Prec@1 41.406 (65.273) Prec@5 72.656 (87.206) Test: [280/391] Time 0.105 (0.111) Loss 1.5312 (1.4306) Prec@1 60.156 (65.163) Prec@5 86.719 (87.136) Test: [290/391] Time 0.106 (0.111) Loss 1.8649 (1.4461) Prec@1 48.438 (64.892) Prec@5 79.688 (86.872) Test: [300/391] Time 0.107 (0.111) Loss 1.7092 (1.4591) Prec@1 67.969 (64.678) Prec@5 83.594 (86.669) Test: [310/391] Time 0.101 (0.111) Loss 1.8298 (1.4671) Prec@1 61.719 (64.567) Prec@5 82.031 (86.538) Test: [320/391] Time 0.103 (0.111) Loss 0.9754 (1.4730) Prec@1 80.469 (64.513) Prec@5 91.406 (86.468) Test: [330/391] Time 0.108 (0.110) Loss 2.3479 (1.4963) Prec@1 45.312 (64.051) Prec@5 74.219 (86.124) Test: [340/391] Time 0.111 (0.110) Loss 1.4318 (1.4981) Prec@1 57.812 (64.001) Prec@5 92.188 (86.114) Test: [350/391] Time 0.104 (0.110) Loss 1.7302 (1.5043) Prec@1 61.719 (63.945) Prec@5 85.938 (86.009) Test: [360/391] Time 0.115 (0.110) Loss 1.8773 (1.5127) Prec@1 53.125 (63.824) Prec@5 80.469 (85.903) Test: [370/391] Time 0.105 (0.110) Loss 1.4220 (1.5071) Prec@1 57.812 (63.911) Prec@5 87.500 (85.973) Test: [380/391] Time 0.101 (0.110) Loss 1.2046 (1.5129) Prec@1 73.438 (63.812) Prec@5 92.188 (85.870) Test: [390/391] Time 0.069 (0.109) Loss 2.2779 (1.5050) Prec@1 45.000 (63.974) Prec@5 75.000 (85.974) * Prec@1 63.974 Prec@5 85.974 Epoch: [53][0/10010] Time 2.487 (2.487) Data 2.280 (2.280) Loss 1.7812 (1.7812) Prec@1 57.812 (57.812) Prec@5 82.031 (82.031) Epoch: [53][10/10010] Time 0.319 (0.514) Data 0.001 (0.208) Loss 1.8351 (1.7145) Prec@1 59.375 (60.511) Prec@5 79.688 (82.386) Epoch: [53][20/10010] Time 0.316 (0.420) Data 0.000 (0.109) Loss 1.9407 (1.7735) Prec@1 59.375 (59.635) Prec@5 82.031 (81.696) Epoch: [53][30/10010] Time 0.319 (0.389) Data 0.000 (0.074) Loss 1.3917 (1.7614) Prec@1 68.750 (60.156) Prec@5 86.719 (81.855) Epoch: [53][40/10010] Time 0.329 (0.372) Data 0.001 (0.056) Loss 1.9554 (1.7300) Prec@1 54.688 (60.747) Prec@5 82.031 (82.489) Epoch: [53][50/10010] Time 0.340 (0.363) Data 0.000 (0.045) Loss 2.0273 (1.7459) Prec@1 57.031 (60.493) Prec@5 78.125 (82.108) Epoch: [53][60/10010] Time 0.314 (0.356) Data 0.001 (0.038) Loss 1.5592 (1.7277) Prec@1 67.188 (60.758) Prec@5 84.375 (82.377) Epoch: [53][70/10010] Time 0.317 (0.352) Data 0.001 (0.033) Loss 1.9239 (1.7286) Prec@1 57.812 (60.717) Prec@5 78.906 (82.152) Epoch: [53][80/10010] Time 0.319 (0.348) Data 0.000 (0.029) Loss 2.3301 (1.7432) Prec@1 46.094 (60.639) Prec@5 71.875 (82.022) Epoch: [53][90/10010] Time 0.317 (0.346) Data 0.001 (0.026) Loss 1.4342 (1.7381) Prec@1 61.719 (60.697) Prec@5 89.062 (82.091) Epoch: [53][100/10010] Time 0.323 (0.343) Data 0.001 (0.023) Loss 2.1685 (1.7367) Prec@1 54.688 (60.852) Prec@5 73.438 (82.132) Epoch: [53][110/10010] Time 0.328 (0.342) Data 0.001 (0.021) Loss 1.6248 (1.7312) Prec@1 61.719 (60.916) Prec@5 85.938 (82.313) Epoch: [53][120/10010] Time 0.323 (0.340) Data 0.001 (0.019) Loss 1.8832 (1.7297) Prec@1 53.906 (60.996) Prec@5 77.344 (82.218) Epoch: [53][130/10010] Time 0.334 (0.339) Data 0.001 (0.018) Loss 1.5621 (1.7344) Prec@1 61.719 (60.824) Prec@5 83.594 (82.127) Epoch: [53][140/10010] Time 0.315 (0.339) Data 0.001 (0.017) Loss 2.0993 (1.7461) Prec@1 50.781 (60.544) Prec@5 74.219 (81.943) Epoch: [53][150/10010] Time 0.314 (0.338) Data 0.001 (0.016) Loss 1.5231 (1.7428) Prec@1 64.844 (60.586) Prec@5 79.688 (81.917) Epoch: [53][160/10010] Time 0.313 (0.337) Data 0.000 (0.015) Loss 1.7220 (1.7424) Prec@1 58.594 (60.510) Prec@5 81.250 (81.910) Epoch: [53][170/10010] Time 0.327 (0.336) Data 0.000 (0.014) Loss 2.1040 (1.7457) Prec@1 60.156 (60.485) Prec@5 76.562 (81.798) Epoch: [53][180/10010] Time 0.336 (0.335) Data 0.000 (0.013) Loss 1.8264 (1.7411) Prec@1 57.812 (60.532) Prec@5 82.031 (81.846) Epoch: [53][190/10010] Time 0.333 (0.335) Data 0.000 (0.013) Loss 1.8442 (1.7433) Prec@1 61.719 (60.512) Prec@5 81.250 (81.810) Epoch: [53][200/10010] Time 0.316 (0.334) Data 0.001 (0.012) Loss 1.6083 (1.7433) Prec@1 60.156 (60.518) Prec@5 80.469 (81.841) Epoch: [53][210/10010] Time 0.329 (0.334) Data 0.001 (0.011) Loss 1.7647 (1.7439) Prec@1 62.500 (60.567) Prec@5 84.375 (81.868) Epoch: [53][220/10010] Time 0.323 (0.333) Data 0.001 (0.011) Loss 1.8144 (1.7420) Prec@1 56.250 (60.566) Prec@5 81.250 (81.854) Epoch: [53][230/10010] Time 0.317 (0.333) Data 0.000 (0.011) Loss 1.8253 (1.7449) Prec@1 52.344 (60.467) Prec@5 80.469 (81.784) Epoch: [53][240/10010] Time 0.319 (0.333) Data 0.000 (0.010) Loss 1.4196 (1.7451) Prec@1 73.438 (60.506) Prec@5 84.375 (81.723) Epoch: [53][250/10010] Time 0.323 (0.333) Data 0.001 (0.010) Loss 1.8499 (1.7465) Prec@1 60.938 (60.502) Prec@5 80.469 (81.711) Epoch: [53][260/10010] Time 0.314 (0.332) Data 0.001 (0.009) Loss 1.3828 (1.7442) Prec@1 71.094 (60.536) Prec@5 89.062 (81.729) Epoch: [53][270/10010] Time 0.319 (0.332) Data 0.000 (0.009) Loss 2.0257 (1.7432) Prec@1 58.594 (60.543) Prec@5 74.219 (81.757) Epoch: [53][280/10010] Time 0.332 (0.332) Data 0.001 (0.009) Loss 1.4717 (1.7460) Prec@1 62.500 (60.434) Prec@5 86.719 (81.725) Epoch: [53][290/10010] Time 0.326 (0.332) Data 0.001 (0.008) Loss 2.0325 (1.7502) Prec@1 59.375 (60.307) Prec@5 78.906 (81.682) Epoch: [53][300/10010] Time 0.322 (0.331) Data 0.000 (0.008) Loss 1.9838 (1.7511) Prec@1 55.469 (60.226) Prec@5 79.688 (81.676) Epoch: [53][310/10010] Time 0.313 (0.331) Data 0.001 (0.008) Loss 1.4155 (1.7487) Prec@1 67.969 (60.247) Prec@5 87.500 (81.712) Epoch: [53][320/10010] Time 0.322 (0.331) Data 0.001 (0.008) Loss 1.8235 (1.7511) Prec@1 57.031 (60.188) Prec@5 81.250 (81.691) Epoch: [53][330/10010] Time 0.316 (0.331) Data 0.001 (0.008) Loss 1.6534 (1.7505) Prec@1 57.812 (60.189) Prec@5 85.156 (81.691) Epoch: [53][340/10010] Time 0.317 (0.331) Data 0.001 (0.007) Loss 1.5456 (1.7482) Prec@1 63.281 (60.177) Prec@5 87.500 (81.740) Epoch: [53][350/10010] Time 0.312 (0.331) Data 0.000 (0.007) Loss 1.9966 (1.7461) Prec@1 58.594 (60.227) Prec@5 77.344 (81.760) Epoch: [53][360/10010] Time 0.333 (0.331) Data 0.001 (0.007) Loss 1.3581 (1.7477) Prec@1 71.094 (60.221) Prec@5 85.938 (81.724) Epoch: [53][370/10010] Time 0.336 (0.331) Data 0.001 (0.007) Loss 1.7805 (1.7463) Prec@1 57.812 (60.240) Prec@5 81.250 (81.749) Epoch: [53][380/10010] Time 0.333 (0.330) Data 0.000 (0.007) Loss 1.8360 (1.7467) Prec@1 60.938 (60.224) Prec@5 82.812 (81.738) Epoch: [53][390/10010] Time 0.323 (0.330) Data 0.000 (0.006) Loss 1.6498 (1.7457) Prec@1 66.406 (60.252) Prec@5 84.375 (81.773) Epoch: [53][400/10010] Time 0.318 (0.330) Data 0.001 (0.006) Loss 1.5632 (1.7444) Prec@1 64.062 (60.275) Prec@5 82.031 (81.780) Epoch: [53][410/10010] Time 0.316 (0.330) Data 0.001 (0.006) Loss 1.6710 (1.7440) Prec@1 59.375 (60.227) Prec@5 84.375 (81.786) Epoch: [53][420/10010] Time 0.324 (0.330) Data 0.000 (0.006) Loss 1.3499 (1.7444) Prec@1 69.531 (60.245) Prec@5 88.281 (81.797) Epoch: [53][430/10010] Time 0.330 (0.330) Data 0.001 (0.006) Loss 1.8645 (1.7451) Prec@1 57.812 (60.251) Prec@5 78.125 (81.777) Epoch: [53][440/10010] Time 0.318 (0.329) Data 0.001 (0.006) Loss 1.6147 (1.7448) Prec@1 60.938 (60.241) Prec@5 85.156 (81.799) Epoch: [53][450/10010] Time 0.332 (0.329) Data 0.001 (0.006) Loss 1.9760 (1.7455) Prec@1 52.344 (60.219) Prec@5 73.438 (81.790) Epoch: [53][460/10010] Time 0.318 (0.329) Data 0.001 (0.006) Loss 1.7611 (1.7442) Prec@1 64.062 (60.239) Prec@5 80.469 (81.813) Epoch: [53][470/10010] Time 0.333 (0.329) Data 0.001 (0.005) Loss 1.6029 (1.7440) Prec@1 65.625 (60.246) Prec@5 81.250 (81.784) Epoch: [53][480/10010] Time 0.322 (0.329) Data 0.001 (0.005) Loss 1.6810 (1.7425) Prec@1 59.375 (60.280) Prec@5 80.469 (81.810) Epoch: [53][490/10010] Time 0.335 (0.329) Data 0.001 (0.005) Loss 1.5038 (1.7421) Prec@1 65.625 (60.301) Prec@5 85.938 (81.808) Epoch: [53][500/10010] Time 0.335 (0.329) Data 0.001 (0.005) Loss 1.8191 (1.7419) Prec@1 56.250 (60.286) Prec@5 80.469 (81.800) Epoch: [53][510/10010] Time 0.324 (0.329) Data 0.000 (0.005) Loss 1.8063 (1.7424) Prec@1 60.156 (60.288) Prec@5 83.594 (81.781) Epoch: [53][520/10010] Time 0.315 (0.329) Data 0.000 (0.005) Loss 1.8642 (1.7419) Prec@1 60.156 (60.291) Prec@5 77.344 (81.790) Epoch: [53][530/10010] Time 0.313 (0.329) Data 0.002 (0.005) Loss 1.6483 (1.7421) Prec@1 62.500 (60.255) Prec@5 83.594 (81.791) Epoch: [53][540/10010] Time 0.314 (0.329) Data 0.001 (0.005) Loss 1.7032 (1.7411) Prec@1 59.375 (60.259) Prec@5 82.812 (81.820) Epoch: [53][550/10010] Time 0.336 (0.329) Data 0.001 (0.005) Loss 1.6907 (1.7404) Prec@1 59.375 (60.261) Prec@5 79.688 (81.828) Epoch: [53][560/10010] Time 0.325 (0.329) Data 0.001 (0.005) Loss 1.7204 (1.7411) Prec@1 57.031 (60.231) Prec@5 83.594 (81.821) Epoch: [53][570/10010] Time 0.313 (0.329) Data 0.001 (0.005) Loss 1.6992 (1.7405) Prec@1 56.250 (60.234) Prec@5 82.031 (81.829) Epoch: [53][580/10010] Time 0.322 (0.328) Data 0.000 (0.005) Loss 1.6533 (1.7404) Prec@1 60.938 (60.218) Prec@5 79.688 (81.807) Epoch: [53][590/10010] Time 0.336 (0.329) Data 0.001 (0.005) Loss 1.8931 (1.7407) Prec@1 54.688 (60.210) Prec@5 75.781 (81.800) Epoch: [53][600/10010] Time 0.333 (0.329) Data 0.001 (0.004) Loss 1.5816 (1.7410) Prec@1 64.844 (60.198) Prec@5 85.938 (81.805) Epoch: [53][610/10010] Time 0.319 (0.329) Data 0.001 (0.004) Loss 1.7961 (1.7420) Prec@1 60.156 (60.181) Prec@5 82.031 (81.782) Epoch: [53][620/10010] Time 0.339 (0.329) Data 0.001 (0.004) Loss 1.7739 (1.7439) Prec@1 61.719 (60.142) Prec@5 80.469 (81.763) Epoch: [53][630/10010] Time 0.320 (0.328) Data 0.000 (0.004) Loss 1.8861 (1.7431) Prec@1 57.031 (60.155) Prec@5 79.688 (81.772) Epoch: [53][640/10010] Time 0.336 (0.329) Data 0.001 (0.004) Loss 1.6955 (1.7437) Prec@1 61.719 (60.125) Prec@5 82.812 (81.755) Epoch: [53][650/10010] Time 0.337 (0.329) Data 0.001 (0.004) Loss 1.4884 (1.7436) Prec@1 66.406 (60.132) Prec@5 85.938 (81.759) Epoch: [53][660/10010] Time 0.321 (0.328) Data 0.000 (0.004) Loss 1.7021 (1.7439) Prec@1 60.156 (60.156) Prec@5 81.250 (81.750) /data/vision/torralba/deepscene/lib/anaconda2/lib/python2.7/site-packages/PIL/TiffImagePlugin.py:692: UserWarning: Possibly corrupt EXIF data. Expecting to read 2555904 bytes but only got 0. Skipping tag 0 "Skipping tag %s" % (size, len(data), tag)) Epoch: [53][670/10010] Time 0.320 (0.328) Data 0.001 (0.004) Loss 1.9132 (1.7436) Prec@1 57.812 (60.160) Prec@5 81.250 (81.762) Epoch: [53][680/10010] Time 0.331 (0.328) Data 0.001 (0.004) Loss 1.3712 (1.7449) Prec@1 65.625 (60.141) Prec@5 85.156 (81.743) Epoch: [53][690/10010] Time 0.334 (0.328) Data 0.000 (0.004) Loss 1.9081 (1.7450) Prec@1 50.781 (60.137) Prec@5 81.250 (81.744) Epoch: [53][700/10010] Time 0.331 (0.328) Data 0.001 (0.004) Loss 1.5439 (1.7452) Prec@1 65.625 (60.144) Prec@5 85.156 (81.747) Epoch: [53][710/10010] Time 0.331 (0.329) Data 0.001 (0.004) Loss 1.5204 (1.7454) Prec@1 57.812 (60.135) Prec@5 84.375 (81.738) Epoch: [53][720/10010] Time 0.319 (0.328) Data 0.000 (0.004) Loss 1.6982 (1.7459) Prec@1 61.719 (60.122) Prec@5 82.031 (81.729) Epoch: [53][730/10010] Time 0.340 (0.328) Data 0.000 (0.004) Loss 1.4181 (1.7451) Prec@1 67.969 (60.124) Prec@5 86.719 (81.761) Epoch: [53][740/10010] Time 0.319 (0.328) Data 0.001 (0.004) Loss 1.7083 (1.7453) Prec@1 63.281 (60.125) Prec@5 82.031 (81.761) Epoch: [53][750/10010] Time 0.333 (0.328) Data 0.001 (0.004) Loss 1.5936 (1.7461) Prec@1 66.406 (60.127) Prec@5 83.594 (81.737) Epoch: [53][760/10010] Time 0.337 (0.328) Data 0.001 (0.004) Loss 1.4141 (1.7458) Prec@1 67.969 (60.135) Prec@5 86.719 (81.745) Epoch: [53][770/10010] Time 0.316 (0.329) Data 0.000 (0.004) Loss 1.7315 (1.7456) Prec@1 58.594 (60.135) Prec@5 82.031 (81.749) Epoch: [53][780/10010] Time 0.319 (0.328) Data 0.001 (0.004) Loss 1.7866 (1.7450) Prec@1 53.125 (60.164) Prec@5 81.250 (81.739) Epoch: [53][790/10010] Time 0.313 (0.328) Data 0.001 (0.004) Loss 1.6296 (1.7444) Prec@1 62.500 (60.170) Prec@5 84.375 (81.749) Epoch: [53][800/10010] Time 0.333 (0.328) Data 0.001 (0.003) Loss 1.7216 (1.7445) Prec@1 62.500 (60.175) Prec@5 81.250 (81.748) Epoch: [53][810/10010] Time 0.319 (0.328) Data 0.000 (0.003) Loss 2.1180 (1.7451) Prec@1 55.469 (60.172) Prec@5 77.344 (81.736) Epoch: [53][820/10010] Time 0.318 (0.328) Data 0.001 (0.003) Loss 1.7203 (1.7454) Prec@1 66.406 (60.160) Prec@5 83.594 (81.737) Epoch: [53][830/10010] Time 0.315 (0.328) Data 0.001 (0.003) Loss 1.7037 (1.7459) Prec@1 58.594 (60.129) Prec@5 82.812 (81.728) Epoch: [53][840/10010] Time 0.307 (0.328) Data 0.001 (0.003) Loss 2.2694 (1.7465) Prec@1 49.219 (60.124) Prec@5 71.875 (81.703) Epoch: [53][850/10010] Time 0.346 (0.328) Data 0.000 (0.003) Loss 1.5047 (1.7474) Prec@1 62.500 (60.109) Prec@5 86.719 (81.689) Epoch: [53][860/10010] Time 0.323 (0.329) Data 0.000 (0.003) Loss 1.8896 (1.7489) Prec@1 60.156 (60.076) Prec@5 78.906 (81.668) Epoch: [53][870/10010] Time 0.319 (0.328) Data 0.001 (0.003) Loss 1.7583 (1.7483) Prec@1 57.812 (60.100) Prec@5 82.031 (81.688) Epoch: [53][880/10010] Time 0.319 (0.328) Data 0.001 (0.003) Loss 2.0076 (1.7476) Prec@1 51.562 (60.121) Prec@5 75.781 (81.687) Epoch: [53][890/10010] Time 0.324 (0.328) Data 0.000 (0.003) Loss 1.9153 (1.7487) Prec@1 57.031 (60.109) Prec@5 82.031 (81.680) Epoch: [53][900/10010] Time 0.341 (0.328) Data 0.001 (0.003) Loss 1.4056 (1.7479) Prec@1 65.625 (60.118) Prec@5 86.719 (81.688) Epoch: [53][910/10010] Time 0.326 (0.328) Data 0.000 (0.003) Loss 1.8821 (1.7478) Prec@1 56.250 (60.113) Prec@5 81.250 (81.679) Epoch: [53][920/10010] Time 0.330 (0.328) Data 0.000 (0.003) Loss 1.7978 (1.7497) Prec@1 53.906 (60.056) Prec@5 80.469 (81.650) Epoch: [53][930/10010] Time 0.333 (0.328) Data 0.001 (0.003) Loss 2.0658 (1.7492) Prec@1 55.469 (60.055) Prec@5 74.219 (81.654) Epoch: [53][940/10010] Time 0.341 (0.328) Data 0.000 (0.003) Loss 1.6467 (1.7488) Prec@1 59.375 (60.061) Prec@5 84.375 (81.659) Epoch: [53][950/10010] Time 0.412 (0.329) Data 0.001 (0.003) Loss 1.6513 (1.7487) Prec@1 60.156 (60.072) Prec@5 84.375 (81.657) Epoch: [53][960/10010] Time 0.525 (0.332) Data 0.000 (0.003) Loss 1.5284 (1.7493) Prec@1 62.500 (60.059) Prec@5 87.500 (81.654) Epoch: [53][970/10010] Time 0.467 (0.334) Data 0.001 (0.003) Loss 1.7027 (1.7499) Prec@1 60.156 (60.051) Prec@5 80.469 (81.643) Epoch: [53][980/10010] Time 0.338 (0.334) Data 0.000 (0.003) Loss 1.6663 (1.7493) Prec@1 63.281 (60.052) Prec@5 81.250 (81.650) Epoch: [53][990/10010] Time 0.327 (0.334) Data 0.001 (0.003) Loss 1.7309 (1.7487) Prec@1 56.250 (60.066) Prec@5 84.375 (81.654) Epoch: [53][1000/10010] Time 0.329 (0.334) Data 0.000 (0.003) Loss 1.7505 (1.7474) Prec@1 54.688 (60.098) Prec@5 80.469 (81.654) Epoch: [53][1010/10010] Time 0.332 (0.334) Data 0.001 (0.003) Loss 1.9292 (1.7480) Prec@1 56.250 (60.081) Prec@5 76.562 (81.638) Epoch: [53][1020/10010] Time 0.340 (0.334) Data 0.001 (0.003) Loss 2.0849 (1.7475) Prec@1 54.688 (60.106) Prec@5 72.656 (81.640) Epoch: [53][1030/10010] Time 0.318 (0.334) Data 0.000 (0.003) Loss 1.5671 (1.7468) Prec@1 67.188 (60.118) Prec@5 85.156 (81.656) Epoch: [53][1040/10010] Time 0.335 (0.334) Data 0.001 (0.003) Loss 1.9050 (1.7462) Prec@1 60.156 (60.136) Prec@5 79.688 (81.664) Epoch: [53][1050/10010] Time 0.319 (0.334) Data 0.000 (0.003) Loss 1.9668 (1.7476) Prec@1 52.344 (60.113) Prec@5 79.688 (81.640) Epoch: [53][1060/10010] Time 0.313 (0.334) Data 0.000 (0.003) Loss 1.8768 (1.7474) Prec@1 53.906 (60.104) Prec@5 81.250 (81.644) Epoch: [53][1070/10010] Time 0.320 (0.334) Data 0.001 (0.003) Loss 1.7141 (1.7476) Prec@1 67.188 (60.104) Prec@5 79.688 (81.637) Epoch: [53][1080/10010] Time 0.324 (0.334) Data 0.001 (0.003) Loss 2.0247 (1.7466) Prec@1 56.250 (60.122) Prec@5 76.562 (81.652) Epoch: [53][1090/10010] Time 0.318 (0.334) Data 0.001 (0.003) Loss 1.6561 (1.7469) Prec@1 59.375 (60.113) Prec@5 83.594 (81.644) Epoch: [53][1100/10010] Time 0.312 (0.334) Data 0.001 (0.003) Loss 1.3762 (1.7467) Prec@1 66.406 (60.100) Prec@5 89.062 (81.645) Epoch: [53][1110/10010] Time 0.339 (0.334) Data 0.001 (0.003) Loss 1.8896 (1.7476) Prec@1 58.594 (60.087) Prec@5 78.906 (81.627) Epoch: [53][1120/10010] Time 0.319 (0.334) Data 0.001 (0.003) Loss 1.5958 (1.7472) Prec@1 62.500 (60.096) Prec@5 88.281 (81.637) Epoch: [53][1130/10010] Time 0.318 (0.333) Data 0.001 (0.003) Loss 1.2872 (1.7471) Prec@1 71.094 (60.102) Prec@5 89.062 (81.634) Epoch: [53][1140/10010] Time 0.316 (0.333) Data 0.001 (0.003) Loss 1.5702 (1.7467) Prec@1 60.938 (60.118) Prec@5 83.594 (81.638) Epoch: [53][1150/10010] Time 0.323 (0.333) Data 0.001 (0.003) Loss 1.7293 (1.7464) Prec@1 61.719 (60.125) Prec@5 81.250 (81.639) Epoch: [53][1160/10010] Time 0.339 (0.333) Data 0.001 (0.003) Loss 1.5527 (1.7461) Prec@1 63.281 (60.126) Prec@5 86.719 (81.652) Epoch: [53][1170/10010] Time 0.321 (0.333) Data 0.000 (0.003) Loss 1.5638 (1.7461) Prec@1 62.500 (60.138) Prec@5 84.375 (81.654) Epoch: [53][1180/10010] Time 0.335 (0.333) Data 0.001 (0.003) Loss 1.6642 (1.7466) Prec@1 60.156 (60.132) Prec@5 82.812 (81.637) Epoch: [53][1190/10010] Time 0.338 (0.333) Data 0.001 (0.003) Loss 1.7003 (1.7466) Prec@1 53.906 (60.129) Prec@5 82.031 (81.631) Epoch: [53][1200/10010] Time 0.315 (0.333) Data 0.001 (0.003) Loss 2.1250 (1.7465) Prec@1 45.312 (60.124) Prec@5 75.781 (81.628) Epoch: [53][1210/10010] Time 0.318 (0.333) Data 0.001 (0.003) Loss 1.6002 (1.7464) Prec@1 64.844 (60.120) Prec@5 86.719 (81.643) Epoch: [53][1220/10010] Time 0.315 (0.333) Data 0.001 (0.003) Loss 1.6568 (1.7464) Prec@1 60.938 (60.120) Prec@5 79.688 (81.638) Epoch: [53][1230/10010] Time 0.332 (0.333) Data 0.001 (0.003) Loss 1.8994 (1.7460) Prec@1 54.688 (60.119) Prec@5 78.125 (81.642) Epoch: [53][1240/10010] Time 0.332 (0.333) Data 0.000 (0.002) Loss 1.9256 (1.7462) Prec@1 59.375 (60.118) Prec@5 78.906 (81.644) Epoch: [53][1250/10010] Time 0.339 (0.333) Data 0.001 (0.002) Loss 2.2015 (1.7467) Prec@1 50.781 (60.101) Prec@5 72.656 (81.631) Epoch: [53][1260/10010] Time 0.320 (0.333) Data 0.001 (0.002) Loss 1.7237 (1.7464) Prec@1 60.938 (60.100) Prec@5 82.031 (81.631) Epoch: [53][1270/10010] Time 0.313 (0.333) Data 0.000 (0.002) Loss 1.8608 (1.7461) Prec@1 60.156 (60.114) Prec@5 80.469 (81.634) Epoch: [53][1280/10010] Time 0.334 (0.333) Data 0.001 (0.002) Loss 1.7954 (1.7457) Prec@1 55.469 (60.120) Prec@5 79.688 (81.636) Epoch: [53][1290/10010] Time 0.316 (0.333) Data 0.000 (0.002) Loss 1.8230 (1.7457) Prec@1 64.844 (60.126) Prec@5 78.906 (81.635) Epoch: [53][1300/10010] Time 0.316 (0.333) Data 0.001 (0.002) Loss 1.9098 (1.7462) Prec@1 56.250 (60.115) Prec@5 82.812 (81.634) Epoch: [53][1310/10010] Time 0.327 (0.332) Data 0.000 (0.002) Loss 1.6007 (1.7464) Prec@1 61.719 (60.107) Prec@5 85.156 (81.625) Epoch: [53][1320/10010] Time 0.308 (0.332) Data 0.001 (0.002) Loss 1.2486 (1.7459) Prec@1 70.312 (60.120) Prec@5 87.500 (81.640) Epoch: [53][1330/10010] Time 0.333 (0.332) Data 0.000 (0.002) Loss 1.7923 (1.7461) Prec@1 55.469 (60.112) Prec@5 78.125 (81.634) Epoch: [53][1340/10010] Time 0.338 (0.332) Data 0.000 (0.002) Loss 1.6172 (1.7463) Prec@1 66.406 (60.106) Prec@5 85.938 (81.633) Epoch: [53][1350/10010] Time 0.330 (0.332) Data 0.001 (0.002) Loss 1.9186 (1.7464) Prec@1 56.250 (60.093) Prec@5 80.469 (81.636) Epoch: [53][1360/10010] Time 0.323 (0.332) Data 0.000 (0.002) Loss 1.6953 (1.7461) Prec@1 60.156 (60.105) Prec@5 80.469 (81.635) Epoch: [53][1370/10010] Time 0.339 (0.332) Data 0.001 (0.002) Loss 1.6550 (1.7460) Prec@1 59.375 (60.102) Prec@5 77.344 (81.627) Epoch: [53][1380/10010] Time 0.339 (0.332) Data 0.001 (0.002) Loss 2.0191 (1.7455) Prec@1 56.250 (60.108) Prec@5 76.562 (81.643) Epoch: [53][1390/10010] Time 0.329 (0.332) Data 0.000 (0.002) Loss 2.1249 (1.7466) Prec@1 57.031 (60.092) Prec@5 75.000 (81.629) Epoch: [53][1400/10010] Time 0.319 (0.332) Data 0.001 (0.002) Loss 1.6146 (1.7464) Prec@1 61.719 (60.099) Prec@5 78.906 (81.623) Epoch: [53][1410/10010] Time 0.336 (0.332) Data 0.001 (0.002) Loss 2.0250 (1.7469) Prec@1 56.250 (60.096) Prec@5 76.562 (81.610) Epoch: [53][1420/10010] Time 0.322 (0.332) Data 0.001 (0.002) Loss 1.9058 (1.7468) Prec@1 60.938 (60.090) Prec@5 76.562 (81.608) Epoch: [53][1430/10010] Time 0.315 (0.332) Data 0.001 (0.002) Loss 1.6614 (1.7460) Prec@1 64.062 (60.103) Prec@5 82.812 (81.616) Epoch: [53][1440/10010] Time 0.311 (0.332) Data 0.001 (0.002) Loss 1.6279 (1.7460) Prec@1 62.500 (60.103) Prec@5 85.938 (81.619) Epoch: [53][1450/10010] Time 0.340 (0.332) Data 0.000 (0.002) Loss 1.8146 (1.7462) Prec@1 59.375 (60.097) Prec@5 76.562 (81.618) Epoch: [53][1460/10010] Time 0.343 (0.332) Data 0.000 (0.002) Loss 1.9097 (1.7465) Prec@1 64.844 (60.107) Prec@5 78.125 (81.614) Epoch: [53][1470/10010] Time 0.299 (0.332) Data 0.001 (0.002) Loss 1.6536 (1.7464) Prec@1 57.031 (60.108) Prec@5 83.594 (81.613) Epoch: [53][1480/10010] Time 0.318 (0.332) Data 0.001 (0.002) Loss 1.8422 (1.7470) Prec@1 55.469 (60.094) Prec@5 81.250 (81.610) Epoch: [53][1490/10010] Time 0.322 (0.332) Data 0.001 (0.002) Loss 1.6241 (1.7467) Prec@1 58.594 (60.099) Prec@5 85.938 (81.617) Epoch: [53][1500/10010] Time 0.329 (0.332) Data 0.001 (0.002) Loss 1.7645 (1.7467) Prec@1 63.281 (60.105) Prec@5 81.250 (81.616) Epoch: [53][1510/10010] Time 0.359 (0.332) Data 0.001 (0.002) Loss 1.8987 (1.7466) Prec@1 57.812 (60.098) Prec@5 80.469 (81.617) Epoch: [53][1520/10010] Time 0.311 (0.332) Data 0.000 (0.002) Loss 1.7235 (1.7464) Prec@1 60.938 (60.105) Prec@5 79.688 (81.619) Epoch: [53][1530/10010] Time 0.332 (0.332) Data 0.001 (0.002) Loss 2.1375 (1.7465) Prec@1 52.344 (60.104) Prec@5 72.656 (81.614) Epoch: [53][1540/10010] Time 0.324 (0.332) Data 0.001 (0.002) Loss 1.8308 (1.7463) Prec@1 60.938 (60.101) Prec@5 78.906 (81.620) Epoch: [53][1550/10010] Time 0.328 (0.332) Data 0.000 (0.002) Loss 1.8516 (1.7460) Prec@1 58.594 (60.107) Prec@5 78.125 (81.621) Epoch: [53][1560/10010] Time 0.332 (0.332) Data 0.000 (0.002) Loss 1.8852 (1.7459) Prec@1 59.375 (60.116) Prec@5 81.250 (81.615) Epoch: [53][1570/10010] Time 0.360 (0.332) Data 0.000 (0.002) Loss 1.9583 (1.7461) Prec@1 56.250 (60.114) Prec@5 83.594 (81.613) Epoch: [53][1580/10010] Time 0.474 (0.334) Data 0.000 (0.002) Loss 1.7774 (1.7464) Prec@1 60.156 (60.121) Prec@5 78.125 (81.601) Epoch: [53][1590/10010] Time 0.560 (0.335) Data 0.000 (0.002) Loss 1.6537 (1.7468) Prec@1 62.500 (60.107) Prec@5 79.688 (81.593) Epoch: [53][1600/10010] Time 0.626 (0.337) Data 0.000 (0.002) Loss 1.6757 (1.7470) Prec@1 59.375 (60.099) Prec@5 82.812 (81.588) Epoch: [53][1610/10010] Time 0.614 (0.339) Data 0.001 (0.002) Loss 2.2066 (1.7472) Prec@1 53.906 (60.097) Prec@5 75.000 (81.580) Epoch: [53][1620/10010] Time 0.619 (0.340) Data 0.000 (0.002) Loss 2.3848 (1.7476) Prec@1 50.781 (60.102) Prec@5 69.531 (81.571) Epoch: [53][1630/10010] Time 0.619 (0.342) Data 0.000 (0.002) Loss 1.6751 (1.7483) Prec@1 64.062 (60.094) Prec@5 82.031 (81.569) Epoch: [53][1640/10010] Time 0.607 (0.344) Data 0.001 (0.002) Loss 1.5652 (1.7482) Prec@1 67.188 (60.097) Prec@5 82.812 (81.572) Epoch: [53][1650/10010] Time 0.607 (0.345) Data 0.000 (0.002) Loss 1.7395 (1.7483) Prec@1 61.719 (60.094) Prec@5 78.906 (81.570) Epoch: [53][1660/10010] Time 0.607 (0.347) Data 0.000 (0.002) Loss 1.5853 (1.7485) Prec@1 64.844 (60.093) Prec@5 82.031 (81.571) Epoch: [53][1670/10010] Time 0.633 (0.348) Data 0.000 (0.002) Loss 1.8282 (1.7486) Prec@1 60.938 (60.089) Prec@5 81.250 (81.575) Epoch: [53][1680/10010] Time 0.615 (0.350) Data 0.000 (0.002) Loss 1.8752 (1.7489) Prec@1 58.594 (60.086) Prec@5 76.562 (81.567) Epoch: [53][1690/10010] Time 0.609 (0.351) Data 0.000 (0.002) Loss 1.8316 (1.7492) Prec@1 60.156 (60.075) Prec@5 79.688 (81.568) Epoch: [53][1700/10010] Time 0.610 (0.353) Data 0.001 (0.002) Loss 1.9074 (1.7501) Prec@1 50.781 (60.047) Prec@5 83.594 (81.561) Epoch: [53][1710/10010] Time 0.311 (0.353) Data 0.000 (0.002) Loss 1.5622 (1.7500) Prec@1 63.281 (60.042) Prec@5 85.938 (81.565) Epoch: [53][1720/10010] Time 0.329 (0.353) Data 0.001 (0.002) Loss 1.7478 (1.7502) Prec@1 62.500 (60.041) Prec@5 80.469 (81.564) Epoch: [53][1730/10010] Time 0.319 (0.353) Data 0.000 (0.002) Loss 2.0787 (1.7500) Prec@1 51.562 (60.047) Prec@5 79.688 (81.569) Epoch: [53][1740/10010] Time 0.315 (0.352) Data 0.001 (0.002) Loss 1.4304 (1.7498) Prec@1 64.844 (60.039) Prec@5 85.938 (81.578) Epoch: [53][1750/10010] Time 0.330 (0.352) Data 0.001 (0.002) Loss 1.5945 (1.7500) Prec@1 61.719 (60.037) Prec@5 82.031 (81.577) Epoch: [53][1760/10010] Time 0.334 (0.352) Data 0.001 (0.002) Loss 1.5276 (1.7497) Prec@1 65.625 (60.041) Prec@5 85.156 (81.583) Epoch: [53][1770/10010] Time 0.320 (0.352) Data 0.000 (0.002) Loss 1.7177 (1.7502) Prec@1 57.812 (60.030) Prec@5 83.594 (81.579) Epoch: [53][1780/10010] Time 0.310 (0.352) Data 0.001 (0.002) Loss 1.5924 (1.7496) Prec@1 54.688 (60.035) Prec@5 86.719 (81.593) Epoch: [53][1790/10010] Time 0.336 (0.352) Data 0.001 (0.002) Loss 2.1556 (1.7498) Prec@1 56.250 (60.039) Prec@5 75.000 (81.583) Epoch: [53][1800/10010] Time 0.337 (0.352) Data 0.001 (0.002) Loss 1.8603 (1.7500) Prec@1 55.469 (60.034) Prec@5 82.031 (81.578) Epoch: [53][1810/10010] Time 0.320 (0.351) Data 0.001 (0.002) Loss 1.8204 (1.7501) Prec@1 62.500 (60.037) Prec@5 81.250 (81.577) Epoch: [53][1820/10010] Time 0.323 (0.351) Data 0.001 (0.002) Loss 1.6789 (1.7503) Prec@1 64.844 (60.034) Prec@5 82.031 (81.577) Epoch: [53][1830/10010] Time 0.339 (0.351) Data 0.001 (0.002) Loss 1.5997 (1.7500) Prec@1 60.938 (60.032) Prec@5 85.156 (81.585) Epoch: [53][1840/10010] Time 0.333 (0.351) Data 0.001 (0.002) Loss 1.5439 (1.7500) Prec@1 62.500 (60.035) Prec@5 85.156 (81.581) Epoch: [53][1850/10010] Time 0.336 (0.351) Data 0.001 (0.002) Loss 1.7928 (1.7497) Prec@1 57.812 (60.046) Prec@5 80.469 (81.584) Epoch: [53][1860/10010] Time 0.314 (0.351) Data 0.001 (0.002) Loss 1.9428 (1.7502) Prec@1 56.250 (60.047) Prec@5 78.906 (81.573) Epoch: [53][1870/10010] Time 0.333 (0.351) Data 0.001 (0.002) Loss 1.8852 (1.7504) Prec@1 63.281 (60.046) Prec@5 79.688 (81.570) Epoch: [53][1880/10010] Time 0.339 (0.351) Data 0.000 (0.002) Loss 1.4598 (1.7505) Prec@1 64.062 (60.050) Prec@5 87.500 (81.575) Epoch: [53][1890/10010] Time 0.324 (0.350) Data 0.001 (0.002) Loss 1.6374 (1.7504) Prec@1 59.375 (60.041) Prec@5 78.125 (81.574) Epoch: [53][1900/10010] Time 0.330 (0.350) Data 0.001 (0.002) Loss 1.5830 (1.7507) Prec@1 64.062 (60.031) Prec@5 80.469 (81.569) Epoch: [53][1910/10010] Time 0.333 (0.350) Data 0.001 (0.002) Loss 1.6138 (1.7506) Prec@1 60.938 (60.025) Prec@5 82.812 (81.576) Epoch: [53][1920/10010] Time 0.324 (0.350) Data 0.001 (0.002) Loss 1.7543 (1.7507) Prec@1 62.500 (60.026) Prec@5 80.469 (81.575) Epoch: [53][1930/10010] Time 0.314 (0.350) Data 0.001 (0.002) Loss 1.6513 (1.7510) Prec@1 65.625 (60.021) Prec@5 84.375 (81.567) Epoch: [53][1940/10010] Time 0.336 (0.350) Data 0.001 (0.002) Loss 1.6158 (1.7512) Prec@1 67.188 (60.021) Prec@5 83.594 (81.565) Epoch: [53][1950/10010] Time 0.340 (0.350) Data 0.001 (0.002) Loss 1.4902 (1.7512) Prec@1 63.281 (60.019) Prec@5 88.281 (81.571) Epoch: [53][1960/10010] Time 0.350 (0.350) Data 0.001 (0.002) Loss 1.8080 (1.7516) Prec@1 58.594 (60.013) Prec@5 79.688 (81.561) Epoch: [53][1970/10010] Time 0.338 (0.350) Data 0.000 (0.002) Loss 1.9251 (1.7519) Prec@1 57.031 (60.009) Prec@5 78.906 (81.560) Epoch: [53][1980/10010] Time 0.324 (0.350) Data 0.001 (0.002) Loss 1.7976 (1.7520) Prec@1 60.156 (60.008) Prec@5 79.688 (81.558) Epoch: [53][1990/10010] Time 0.320 (0.349) Data 0.001 (0.002) Loss 1.5003 (1.7517) Prec@1 67.969 (60.012) Prec@5 85.938 (81.560) Epoch: [53][2000/10010] Time 0.312 (0.349) Data 0.001 (0.002) Loss 2.0664 (1.7524) Prec@1 50.000 (60.002) Prec@5 78.125 (81.547) Epoch: [53][2010/10010] Time 0.344 (0.349) Data 0.000 (0.002) Loss 2.0735 (1.7529) Prec@1 57.031 (59.995) Prec@5 78.125 (81.532) Epoch: [53][2020/10010] Time 0.334 (0.349) Data 0.001 (0.002) Loss 1.7274 (1.7535) Prec@1 60.938 (59.986) Prec@5 79.688 (81.524) Epoch: [53][2030/10010] Time 0.314 (0.349) Data 0.001 (0.002) Loss 2.0751 (1.7537) Prec@1 51.562 (59.982) Prec@5 76.562 (81.526) Epoch: [53][2040/10010] Time 0.320 (0.349) Data 0.001 (0.002) Loss 1.4529 (1.7538) Prec@1 64.844 (59.980) Prec@5 85.156 (81.524) Epoch: [53][2050/10010] Time 0.322 (0.349) Data 0.001 (0.002) Loss 1.7541 (1.7538) Prec@1 62.500 (59.986) Prec@5 81.250 (81.526) Epoch: [53][2060/10010] Time 0.329 (0.349) Data 0.000 (0.002) Loss 1.8249 (1.7538) Prec@1 57.031 (59.986) Prec@5 78.125 (81.526) Epoch: [53][2070/10010] Time 0.364 (0.349) Data 0.001 (0.002) Loss 1.7009 (1.7537) Prec@1 58.594 (59.986) Prec@5 82.812 (81.527) Epoch: [53][2080/10010] Time 0.318 (0.349) Data 0.001 (0.002) Loss 1.6028 (1.7537) Prec@1 60.156 (59.978) Prec@5 84.375 (81.529) /data/vision/torralba/deepscene/lib/anaconda2/lib/python2.7/site-packages/PIL/TiffImagePlugin.py:692: UserWarning: Possibly corrupt EXIF data. Expecting to read 2555904 bytes but only got 0. Skipping tag 0 "Skipping tag %s" % (size, len(data), tag)) Epoch: [53][2090/10010] Time 0.315 (0.349) Data 0.001 (0.002) Loss 1.6606 (1.7533) Prec@1 60.156 (59.983) Prec@5 83.594 (81.539) Epoch: [53][2100/10010] Time 0.317 (0.348) Data 0.000 (0.002) Loss 1.7914 (1.7532) Prec@1 56.250 (59.992) Prec@5 83.594 (81.547) Epoch: [53][2110/10010] Time 0.325 (0.348) Data 0.000 (0.002) Loss 1.5865 (1.7532) Prec@1 59.375 (59.993) Prec@5 82.812 (81.548) Epoch: [53][2120/10010] Time 0.327 (0.348) Data 0.001 (0.002) Loss 1.8403 (1.7536) Prec@1 57.031 (59.983) Prec@5 76.562 (81.534) Epoch: [53][2130/10010] Time 0.315 (0.348) Data 0.000 (0.002) Loss 1.9811 (1.7535) Prec@1 54.688 (59.982) Prec@5 75.781 (81.530) Epoch: [53][2140/10010] Time 0.343 (0.348) Data 0.000 (0.002) Loss 2.2414 (1.7537) Prec@1 47.656 (59.978) Prec@5 75.781 (81.531) Epoch: [53][2150/10010] Time 0.340 (0.348) Data 0.001 (0.002) Loss 1.6563 (1.7536) Prec@1 61.719 (59.986) Prec@5 82.031 (81.536) Epoch: [53][2160/10010] Time 0.333 (0.348) Data 0.001 (0.002) Loss 1.8924 (1.7542) Prec@1 57.031 (59.968) Prec@5 78.906 (81.531) Epoch: [53][2170/10010] Time 0.329 (0.348) Data 0.001 (0.002) Loss 1.6210 (1.7538) Prec@1 63.281 (59.975) Prec@5 80.469 (81.536) Epoch: [53][2180/10010] Time 0.321 (0.348) Data 0.000 (0.002) Loss 1.4464 (1.7536) Prec@1 67.188 (59.979) Prec@5 86.719 (81.542) Epoch: [53][2190/10010] Time 0.331 (0.348) Data 0.001 (0.002) Loss 1.9782 (1.7537) Prec@1 57.031 (59.970) Prec@5 77.344 (81.536) Epoch: [53][2200/10010] Time 0.313 (0.347) Data 0.001 (0.002) Loss 1.8030 (1.7539) Prec@1 57.031 (59.961) Prec@5 78.125 (81.532) Epoch: [53][2210/10010] Time 0.319 (0.347) Data 0.000 (0.002) Loss 1.7904 (1.7540) Prec@1 56.250 (59.965) Prec@5 81.250 (81.532) Epoch: [53][2220/10010] Time 0.321 (0.347) Data 0.001 (0.002) Loss 1.8276 (1.7544) Prec@1 61.719 (59.955) Prec@5 77.344 (81.529) Epoch: [53][2230/10010] Time 0.326 (0.347) Data 0.001 (0.002) Loss 1.9278 (1.7546) Prec@1 59.375 (59.954) Prec@5 74.219 (81.525) Epoch: [53][2240/10010] Time 0.331 (0.347) Data 0.000 (0.002) Loss 1.6573 (1.7545) Prec@1 63.281 (59.955) Prec@5 84.375 (81.530) Epoch: [53][2250/10010] Time 0.333 (0.347) Data 0.000 (0.002) Loss 1.7547 (1.7549) Prec@1 64.062 (59.953) Prec@5 78.125 (81.520) Epoch: [53][2260/10010] Time 0.312 (0.347) Data 0.000 (0.002) Loss 1.8891 (1.7557) Prec@1 58.594 (59.938) Prec@5 82.031 (81.513) Epoch: [53][2270/10010] Time 0.324 (0.347) Data 0.001 (0.002) Loss 1.7026 (1.7558) Prec@1 60.938 (59.935) Prec@5 79.688 (81.511) Epoch: [53][2280/10010] Time 0.329 (0.347) Data 0.000 (0.002) Loss 1.8778 (1.7559) Prec@1 55.469 (59.930) Prec@5 80.469 (81.514) Epoch: [53][2290/10010] Time 0.339 (0.346) Data 0.000 (0.002) Loss 1.8468 (1.7561) Prec@1 59.375 (59.927) Prec@5 80.469 (81.513) Epoch: [53][2300/10010] Time 0.322 (0.346) Data 0.001 (0.002) Loss 1.6140 (1.7563) Prec@1 64.062 (59.921) Prec@5 81.250 (81.508) Epoch: [53][2310/10010] Time 0.337 (0.346) Data 0.001 (0.002) Loss 2.1780 (1.7565) Prec@1 52.344 (59.919) Prec@5 74.219 (81.506) Epoch: [53][2320/10010] Time 0.319 (0.346) Data 0.000 (0.002) Loss 1.7251 (1.7566) Prec@1 57.812 (59.913) Prec@5 82.031 (81.507) Epoch: [53][2330/10010] Time 0.338 (0.346) Data 0.001 (0.002) Loss 1.8183 (1.7569) Prec@1 58.594 (59.903) Prec@5 82.812 (81.506) Epoch: [53][2340/10010] Time 0.322 (0.346) Data 0.000 (0.002) Loss 1.8058 (1.7566) Prec@1 58.594 (59.911) Prec@5 80.469 (81.509) Epoch: [53][2350/10010] Time 0.329 (0.346) Data 0.000 (0.002) Loss 1.6594 (1.7567) Prec@1 62.500 (59.912) Prec@5 85.938 (81.508) Epoch: [53][2360/10010] Time 0.333 (0.346) Data 0.000 (0.002) Loss 1.9310 (1.7566) Prec@1 53.906 (59.907) Prec@5 78.125 (81.513) Epoch: [53][2370/10010] Time 0.315 (0.346) Data 0.000 (0.002) Loss 2.0384 (1.7569) Prec@1 55.469 (59.901) Prec@5 80.469 (81.513) Epoch: [53][2380/10010] Time 0.339 (0.346) Data 0.001 (0.002) Loss 1.4414 (1.7565) Prec@1 64.844 (59.908) Prec@5 87.500 (81.517) Epoch: [53][2390/10010] Time 0.330 (0.346) Data 0.000 (0.002) Loss 1.4585 (1.7569) Prec@1 60.938 (59.899) Prec@5 89.062 (81.511) Epoch: [53][2400/10010] Time 0.327 (0.346) Data 0.001 (0.002) Loss 1.8737 (1.7572) Prec@1 54.688 (59.895) Prec@5 82.031 (81.508) Epoch: [53][2410/10010] Time 0.319 (0.345) Data 0.000 (0.002) Loss 2.2463 (1.7576) Prec@1 50.000 (59.887) Prec@5 76.562 (81.505) Epoch: [53][2420/10010] Time 0.342 (0.345) Data 0.000 (0.002) Loss 1.9299 (1.7576) Prec@1 54.688 (59.888) Prec@5 78.906 (81.508) Epoch: [53][2430/10010] Time 0.322 (0.345) Data 0.001 (0.002) Loss 1.8408 (1.7577) Prec@1 61.719 (59.892) Prec@5 78.906 (81.503) Epoch: [53][2440/10010] Time 0.334 (0.345) Data 0.000 (0.002) Loss 1.6947 (1.7575) Prec@1 58.594 (59.897) Prec@5 82.812 (81.501) Epoch: [53][2450/10010] Time 0.316 (0.345) Data 0.001 (0.002) Loss 1.8380 (1.7579) Prec@1 57.031 (59.895) Prec@5 79.688 (81.500) Epoch: [53][2460/10010] Time 0.314 (0.345) Data 0.000 (0.002) Loss 1.5106 (1.7582) Prec@1 66.406 (59.895) Prec@5 85.156 (81.495) Epoch: [53][2470/10010] Time 0.329 (0.345) Data 0.000 (0.002) Loss 1.6811 (1.7583) Prec@1 60.938 (59.887) Prec@5 86.719 (81.494) Epoch: [53][2480/10010] Time 0.341 (0.345) Data 0.000 (0.002) Loss 1.6455 (1.7579) Prec@1 68.750 (59.895) Prec@5 81.250 (81.495) Epoch: [53][2490/10010] Time 0.319 (0.345) Data 0.001 (0.002) Loss 1.8373 (1.7578) Prec@1 57.812 (59.890) Prec@5 82.031 (81.501) Epoch: [53][2500/10010] Time 0.333 (0.345) Data 0.001 (0.002) Loss 1.8432 (1.7577) Prec@1 60.156 (59.892) Prec@5 78.906 (81.499) Epoch: [53][2510/10010] Time 0.318 (0.345) Data 0.000 (0.002) Loss 1.0863 (1.7579) Prec@1 74.219 (59.890) Prec@5 92.188 (81.498) Epoch: [53][2520/10010] Time 0.331 (0.345) Data 0.001 (0.002) Loss 1.7289 (1.7579) Prec@1 64.062 (59.895) Prec@5 82.812 (81.500) Epoch: [53][2530/10010] Time 0.317 (0.345) Data 0.001 (0.002) Loss 1.7950 (1.7577) Prec@1 63.281 (59.899) Prec@5 82.812 (81.502) Epoch: [53][2540/10010] Time 0.309 (0.345) Data 0.000 (0.002) Loss 2.1305 (1.7577) Prec@1 55.469 (59.899) Prec@5 75.781 (81.502) Epoch: [53][2550/10010] Time 0.333 (0.344) Data 0.000 (0.002) Loss 1.7832 (1.7574) Prec@1 57.812 (59.901) Prec@5 82.031 (81.508) Epoch: [53][2560/10010] Time 0.319 (0.344) Data 0.001 (0.002) Loss 1.3939 (1.7572) Prec@1 65.625 (59.904) Prec@5 89.062 (81.512) Epoch: [53][2570/10010] Time 0.338 (0.344) Data 0.000 (0.002) Loss 1.6990 (1.7570) Prec@1 55.469 (59.909) Prec@5 78.906 (81.515) Epoch: [53][2580/10010] Time 0.338 (0.344) Data 0.000 (0.002) Loss 1.4045 (1.7573) Prec@1 65.625 (59.895) Prec@5 86.719 (81.515) Epoch: [53][2590/10010] Time 0.315 (0.344) Data 0.001 (0.002) Loss 2.0266 (1.7571) Prec@1 52.344 (59.894) Prec@5 75.781 (81.521) Epoch: [53][2600/10010] Time 0.337 (0.344) Data 0.000 (0.002) Loss 1.6179 (1.7573) Prec@1 63.281 (59.895) Prec@5 84.375 (81.516) Epoch: [53][2610/10010] Time 0.320 (0.344) Data 0.000 (0.002) Loss 1.5384 (1.7572) Prec@1 64.062 (59.897) Prec@5 86.719 (81.519) Epoch: [53][2620/10010] Time 0.334 (0.344) Data 0.000 (0.002) Loss 1.7076 (1.7575) Prec@1 57.031 (59.892) Prec@5 81.250 (81.515) Epoch: [53][2630/10010] Time 0.335 (0.344) Data 0.000 (0.001) Loss 1.7680 (1.7582) Prec@1 60.938 (59.885) Prec@5 83.594 (81.507) Epoch: [53][2640/10010] Time 0.317 (0.344) Data 0.000 (0.001) Loss 2.1515 (1.7579) Prec@1 55.469 (59.894) Prec@5 74.219 (81.511) Epoch: [53][2650/10010] Time 0.328 (0.344) Data 0.001 (0.001) Loss 1.9427 (1.7580) Prec@1 52.344 (59.894) Prec@5 79.688 (81.505) Epoch: [53][2660/10010] Time 0.317 (0.344) Data 0.000 (0.001) Loss 1.5340 (1.7581) Prec@1 60.938 (59.892) Prec@5 85.156 (81.505) Epoch: [53][2670/10010] Time 0.335 (0.344) Data 0.000 (0.001) Loss 1.7089 (1.7575) Prec@1 61.719 (59.901) Prec@5 79.688 (81.514) Epoch: [53][2680/10010] Time 0.336 (0.344) Data 0.000 (0.001) Loss 1.7434 (1.7578) Prec@1 61.719 (59.891) Prec@5 82.031 (81.512) Epoch: [53][2690/10010] Time 0.340 (0.344) Data 0.001 (0.001) Loss 1.5367 (1.7572) Prec@1 63.281 (59.904) Prec@5 87.500 (81.526) Epoch: [53][2700/10010] Time 0.336 (0.344) Data 0.000 (0.001) Loss 1.8076 (1.7570) Prec@1 53.906 (59.909) Prec@5 82.031 (81.531) Epoch: [53][2710/10010] Time 0.316 (0.344) Data 0.000 (0.001) Loss 1.6576 (1.7568) Prec@1 60.156 (59.914) Prec@5 83.594 (81.531) Epoch: [53][2720/10010] Time 0.330 (0.343) Data 0.001 (0.001) Loss 1.8708 (1.7571) Prec@1 57.031 (59.907) Prec@5 78.906 (81.522) Epoch: [53][2730/10010] Time 0.337 (0.343) Data 0.001 (0.001) Loss 1.6811 (1.7573) Prec@1 61.719 (59.903) Prec@5 84.375 (81.517) Epoch: [53][2740/10010] Time 0.323 (0.343) Data 0.000 (0.001) Loss 1.8234 (1.7576) Prec@1 60.156 (59.897) Prec@5 78.125 (81.511) /data/vision/torralba/deepscene/lib/anaconda2/lib/python2.7/site-packages/PIL/TiffImagePlugin.py:692: UserWarning: Possibly corrupt EXIF data. Expecting to read 2555904 bytes but only got 0. Skipping tag 0 "Skipping tag %s" % (size, len(data), tag)) Epoch: [53][2750/10010] Time 0.324 (0.343) Data 0.000 (0.001) Loss 2.2148 (1.7577) Prec@1 56.250 (59.895) Prec@5 75.781 (81.509) Epoch: [53][2760/10010] Time 0.323 (0.343) Data 0.001 (0.001) Loss 1.3573 (1.7578) Prec@1 67.969 (59.893) Prec@5 85.938 (81.508) Epoch: [53][2770/10010] Time 0.338 (0.343) Data 0.001 (0.001) Loss 1.7663 (1.7576) Prec@1 59.375 (59.900) Prec@5 76.562 (81.506) Epoch: [53][2780/10010] Time 0.335 (0.343) Data 0.000 (0.001) Loss 1.5906 (1.7575) Prec@1 63.281 (59.905) Prec@5 82.031 (81.502) Epoch: [53][2790/10010] Time 0.332 (0.343) Data 0.001 (0.001) Loss 1.6368 (1.7575) Prec@1 62.500 (59.905) Prec@5 82.031 (81.499) Epoch: [53][2800/10010] Time 0.319 (0.343) Data 0.000 (0.001) Loss 2.1436 (1.7576) Prec@1 55.469 (59.903) Prec@5 75.000 (81.500) Epoch: [53][2810/10010] Time 0.335 (0.343) Data 0.001 (0.001) Loss 1.3982 (1.7572) Prec@1 67.969 (59.913) Prec@5 85.938 (81.507) Epoch: [53][2820/10010] Time 0.321 (0.343) Data 0.001 (0.001) Loss 1.8228 (1.7571) Prec@1 57.812 (59.917) Prec@5 79.688 (81.509) Epoch: [53][2830/10010] Time 0.338 (0.343) Data 0.001 (0.001) Loss 1.6359 (1.7572) Prec@1 67.969 (59.914) Prec@5 85.156 (81.507) Epoch: [53][2840/10010] Time 0.316 (0.343) Data 0.001 (0.001) Loss 1.3575 (1.7575) Prec@1 69.531 (59.912) Prec@5 85.156 (81.499) Epoch: [53][2850/10010] Time 0.328 (0.343) Data 0.001 (0.001) Loss 1.8109 (1.7577) Prec@1 58.594 (59.908) Prec@5 82.031 (81.495) Epoch: [53][2860/10010] Time 0.329 (0.343) Data 0.000 (0.001) Loss 1.5122 (1.7577) Prec@1 66.406 (59.903) Prec@5 85.938 (81.493) Epoch: [53][2870/10010] Time 0.340 (0.343) Data 0.000 (0.001) Loss 1.8341 (1.7579) Prec@1 58.594 (59.897) Prec@5 82.031 (81.492) Epoch: [53][2880/10010] Time 0.330 (0.342) Data 0.001 (0.001) Loss 1.9508 (1.7582) Prec@1 57.812 (59.891) Prec@5 75.781 (81.485) Epoch: [53][2890/10010] Time 0.326 (0.342) Data 0.001 (0.001) Loss 1.5536 (1.7582) Prec@1 63.281 (59.890) Prec@5 82.812 (81.483) Epoch: [53][2900/10010] Time 0.331 (0.342) Data 0.000 (0.001) Loss 1.7515 (1.7582) Prec@1 60.938 (59.894) Prec@5 81.250 (81.483) Epoch: [53][2910/10010] Time 0.327 (0.342) Data 0.000 (0.001) Loss 1.5365 (1.7580) Prec@1 60.156 (59.900) Prec@5 85.938 (81.484) Epoch: [53][2920/10010] Time 0.319 (0.342) Data 0.001 (0.001) Loss 1.9219 (1.7579) Prec@1 57.031 (59.900) Prec@5 78.125 (81.485) Epoch: [53][2930/10010] Time 0.323 (0.342) Data 0.001 (0.001) Loss 1.6376 (1.7580) Prec@1 64.844 (59.903) Prec@5 82.031 (81.488) Epoch: [53][2940/10010] Time 0.318 (0.342) Data 0.001 (0.001) Loss 1.8199 (1.7580) Prec@1 50.781 (59.903) Prec@5 85.156 (81.490) Epoch: [53][2950/10010] Time 0.330 (0.342) Data 0.000 (0.001) Loss 1.4221 (1.7580) Prec@1 68.750 (59.897) Prec@5 85.156 (81.495) Epoch: [53][2960/10010] Time 0.317 (0.342) Data 0.001 (0.001) Loss 1.2501 (1.7579) Prec@1 71.094 (59.894) Prec@5 87.500 (81.501) Epoch: [53][2970/10010] Time 0.330 (0.342) Data 0.001 (0.001) Loss 1.8173 (1.7582) Prec@1 58.594 (59.889) Prec@5 82.031 (81.495) Epoch: [53][2980/10010] Time 0.339 (0.342) Data 0.000 (0.001) Loss 1.9390 (1.7585) Prec@1 53.125 (59.884) Prec@5 78.125 (81.490) Epoch: [53][2990/10010] Time 0.323 (0.342) Data 0.001 (0.001) Loss 2.0782 (1.7587) Prec@1 52.344 (59.879) Prec@5 78.125 (81.487) Epoch: [53][3000/10010] Time 0.336 (0.342) Data 0.000 (0.001) Loss 1.6587 (1.7587) Prec@1 57.031 (59.875) Prec@5 82.812 (81.488) Epoch: [53][3010/10010] Time 0.319 (0.342) Data 0.001 (0.001) Loss 1.6363 (1.7589) Prec@1 60.156 (59.866) Prec@5 82.812 (81.483) Epoch: [53][3020/10010] Time 0.314 (0.342) Data 0.001 (0.001) Loss 1.8401 (1.7592) Prec@1 57.031 (59.858) Prec@5 81.250 (81.478) Epoch: [53][3030/10010] Time 0.334 (0.342) Data 0.001 (0.001) Loss 1.8184 (1.7594) Prec@1 55.469 (59.855) Prec@5 77.344 (81.474) Epoch: [53][3040/10010] Time 0.324 (0.342) Data 0.001 (0.001) Loss 1.9690 (1.7593) Prec@1 58.594 (59.856) Prec@5 79.688 (81.473) Epoch: [53][3050/10010] Time 0.320 (0.342) Data 0.000 (0.001) Loss 1.8169 (1.7594) Prec@1 59.375 (59.855) Prec@5 81.250 (81.470) Epoch: [53][3060/10010] Time 0.329 (0.342) Data 0.001 (0.001) Loss 1.5565 (1.7595) Prec@1 62.500 (59.854) Prec@5 84.375 (81.470) Epoch: [53][3070/10010] Time 0.319 (0.341) Data 0.001 (0.001) Loss 1.7214 (1.7594) Prec@1 65.625 (59.854) Prec@5 82.812 (81.473) Epoch: [53][3080/10010] Time 0.318 (0.341) Data 0.001 (0.001) Loss 1.7882 (1.7596) Prec@1 58.594 (59.854) Prec@5 78.125 (81.469) Epoch: [53][3090/10010] Time 0.322 (0.341) Data 0.001 (0.001) Loss 1.6173 (1.7595) Prec@1 64.844 (59.856) Prec@5 82.812 (81.469) Epoch: [53][3100/10010] Time 0.326 (0.341) Data 0.001 (0.001) Loss 1.4853 (1.7596) Prec@1 60.156 (59.854) Prec@5 88.281 (81.467) Epoch: [53][3110/10010] Time 0.331 (0.341) Data 0.001 (0.001) Loss 1.5355 (1.7596) Prec@1 68.750 (59.857) Prec@5 82.812 (81.469) Epoch: [53][3120/10010] Time 0.322 (0.341) Data 0.001 (0.001) Loss 1.8872 (1.7598) Prec@1 53.906 (59.847) Prec@5 78.906 (81.465) Epoch: [53][3130/10010] Time 0.320 (0.341) Data 0.000 (0.001) Loss 1.8806 (1.7596) Prec@1 60.156 (59.850) Prec@5 79.688 (81.467) Epoch: [53][3140/10010] Time 0.335 (0.341) Data 0.001 (0.001) Loss 1.6283 (1.7595) Prec@1 64.062 (59.854) Prec@5 84.375 (81.469) Epoch: [53][3150/10010] Time 0.334 (0.341) Data 0.001 (0.001) Loss 1.8356 (1.7598) Prec@1 57.031 (59.846) Prec@5 82.031 (81.466) Epoch: [53][3160/10010] Time 0.311 (0.341) Data 0.001 (0.001) Loss 1.7676 (1.7602) Prec@1 59.375 (59.838) Prec@5 80.469 (81.460) Epoch: [53][3170/10010] Time 0.320 (0.341) Data 0.001 (0.001) Loss 1.9826 (1.7602) Prec@1 53.125 (59.838) Prec@5 75.781 (81.462) Epoch: [53][3180/10010] Time 0.335 (0.341) Data 0.000 (0.001) Loss 1.9302 (1.7602) Prec@1 51.562 (59.831) Prec@5 78.906 (81.464) Epoch: [53][3190/10010] Time 0.320 (0.341) Data 0.001 (0.001) Loss 1.4543 (1.7600) Prec@1 65.625 (59.833) Prec@5 85.156 (81.466) Epoch: [53][3200/10010] Time 0.336 (0.341) Data 0.001 (0.001) Loss 1.6926 (1.7600) Prec@1 60.938 (59.839) Prec@5 77.344 (81.465) Epoch: [53][3210/10010] Time 0.331 (0.341) Data 0.000 (0.001) Loss 1.6145 (1.7600) Prec@1 62.500 (59.838) Prec@5 85.156 (81.466) Epoch: [53][3220/10010] Time 0.319 (0.341) Data 0.001 (0.001) Loss 1.7120 (1.7598) Prec@1 60.156 (59.848) Prec@5 82.031 (81.472) Epoch: [53][3230/10010] Time 0.339 (0.341) Data 0.001 (0.001) Loss 1.7833 (1.7599) Prec@1 57.812 (59.844) Prec@5 82.031 (81.470) Epoch: [53][3240/10010] Time 0.336 (0.341) Data 0.001 (0.001) Loss 1.6904 (1.7600) Prec@1 64.062 (59.846) Prec@5 82.031 (81.470) Epoch: [53][3250/10010] Time 0.326 (0.341) Data 0.001 (0.001) Loss 1.5684 (1.7599) Prec@1 64.062 (59.853) Prec@5 85.938 (81.472) Epoch: [53][3260/10010] Time 0.320 (0.341) Data 0.001 (0.001) Loss 1.9444 (1.7596) Prec@1 60.938 (59.859) Prec@5 75.000 (81.474) Epoch: [53][3270/10010] Time 0.320 (0.341) Data 0.000 (0.001) Loss 1.6608 (1.7596) Prec@1 64.062 (59.854) Prec@5 84.375 (81.475) Epoch: [53][3280/10010] Time 0.325 (0.341) Data 0.001 (0.001) Loss 1.6952 (1.7597) Prec@1 60.938 (59.853) Prec@5 81.250 (81.474) Epoch: [53][3290/10010] Time 0.334 (0.341) Data 0.000 (0.001) Loss 1.6497 (1.7596) Prec@1 67.188 (59.856) Prec@5 82.812 (81.474) Epoch: [53][3300/10010] Time 0.323 (0.341) Data 0.000 (0.001) Loss 1.7658 (1.7597) Prec@1 56.250 (59.856) Prec@5 85.938 (81.474) Epoch: [53][3310/10010] Time 0.334 (0.341) Data 0.001 (0.001) Loss 2.2320 (1.7601) Prec@1 52.344 (59.851) Prec@5 74.219 (81.471) Epoch: [53][3320/10010] Time 0.335 (0.340) Data 0.001 (0.001) Loss 2.0606 (1.7603) Prec@1 56.250 (59.846) Prec@5 79.688 (81.467) Epoch: [53][3330/10010] Time 0.330 (0.340) Data 0.001 (0.001) Loss 2.0121 (1.7603) Prec@1 51.562 (59.848) Prec@5 77.344 (81.470) Epoch: [53][3340/10010] Time 0.340 (0.340) Data 0.001 (0.001) Loss 2.1194 (1.7605) Prec@1 57.812 (59.844) Prec@5 75.000 (81.467) Epoch: [53][3350/10010] Time 0.333 (0.340) Data 0.000 (0.001) Loss 1.7364 (1.7604) Prec@1 60.156 (59.846) Prec@5 82.812 (81.469) Epoch: [53][3360/10010] Time 0.319 (0.340) Data 0.001 (0.001) Loss 1.7657 (1.7603) Prec@1 62.500 (59.851) Prec@5 85.156 (81.473) Epoch: [53][3370/10010] Time 0.340 (0.340) Data 0.001 (0.001) Loss 2.1634 (1.7603) Prec@1 50.781 (59.850) Prec@5 79.688 (81.474) Epoch: [53][3380/10010] Time 0.332 (0.340) Data 0.001 (0.001) Loss 1.7273 (1.7603) Prec@1 61.719 (59.849) Prec@5 80.469 (81.476) Epoch: [53][3390/10010] Time 0.319 (0.340) Data 0.001 (0.001) Loss 1.8750 (1.7603) Prec@1 58.594 (59.845) Prec@5 80.469 (81.479) Epoch: [53][3400/10010] Time 0.325 (0.340) Data 0.000 (0.001) Loss 1.7687 (1.7603) Prec@1 62.500 (59.844) Prec@5 80.469 (81.479) Epoch: [53][3410/10010] Time 0.335 (0.340) Data 0.001 (0.001) Loss 1.8808 (1.7604) Prec@1 60.156 (59.839) Prec@5 78.906 (81.480) Epoch: [53][3420/10010] Time 0.316 (0.340) Data 0.001 (0.001) Loss 1.5576 (1.7608) Prec@1 60.938 (59.834) Prec@5 85.156 (81.474) Epoch: [53][3430/10010] Time 0.331 (0.340) Data 0.001 (0.001) Loss 1.8603 (1.7605) Prec@1 60.156 (59.839) Prec@5 80.469 (81.480) Epoch: [53][3440/10010] Time 0.318 (0.340) Data 0.001 (0.001) Loss 1.5491 (1.7606) Prec@1 69.531 (59.843) Prec@5 85.156 (81.480) Epoch: [53][3450/10010] Time 0.330 (0.340) Data 0.001 (0.001) Loss 1.6751 (1.7604) Prec@1 64.844 (59.846) Prec@5 79.688 (81.483) Epoch: [53][3460/10010] Time 0.323 (0.340) Data 0.001 (0.001) Loss 1.6554 (1.7604) Prec@1 60.938 (59.848) Prec@5 83.594 (81.485) Epoch: [53][3470/10010] Time 0.315 (0.340) Data 0.001 (0.001) Loss 1.5502 (1.7606) Prec@1 64.844 (59.850) Prec@5 84.375 (81.479) Epoch: [53][3480/10010] Time 0.317 (0.340) Data 0.001 (0.001) Loss 1.7956 (1.7605) Prec@1 63.281 (59.848) Prec@5 75.781 (81.482) Epoch: [53][3490/10010] Time 0.316 (0.340) Data 0.001 (0.001) Loss 1.9379 (1.7604) Prec@1 55.469 (59.851) Prec@5 77.344 (81.483) Epoch: [53][3500/10010] Time 0.312 (0.340) Data 0.000 (0.001) Loss 2.0272 (1.7606) Prec@1 52.344 (59.844) Prec@5 76.562 (81.480) Epoch: [53][3510/10010] Time 0.327 (0.340) Data 0.001 (0.001) Loss 1.7654 (1.7608) Prec@1 60.938 (59.840) Prec@5 83.594 (81.479) Epoch: [53][3520/10010] Time 0.321 (0.340) Data 0.001 (0.001) Loss 1.7123 (1.7605) Prec@1 57.812 (59.845) Prec@5 82.031 (81.484) Epoch: [53][3530/10010] Time 0.321 (0.340) Data 0.001 (0.001) Loss 1.6467 (1.7602) Prec@1 57.812 (59.847) Prec@5 81.250 (81.490) Epoch: [53][3540/10010] Time 0.316 (0.340) Data 0.001 (0.001) Loss 1.7192 (1.7602) Prec@1 59.375 (59.846) Prec@5 82.812 (81.491) Epoch: [53][3550/10010] Time 0.324 (0.339) Data 0.001 (0.001) Loss 1.5557 (1.7601) Prec@1 66.406 (59.847) Prec@5 81.250 (81.490) Epoch: [53][3560/10010] Time 0.319 (0.339) Data 0.001 (0.001) Loss 1.6899 (1.7603) Prec@1 63.281 (59.847) Prec@5 79.688 (81.481) Epoch: [53][3570/10010] Time 0.340 (0.339) Data 0.000 (0.001) Loss 1.8076 (1.7601) Prec@1 57.031 (59.851) Prec@5 83.594 (81.483) Epoch: [53][3580/10010] Time 0.328 (0.339) Data 0.001 (0.001) Loss 1.7150 (1.7604) Prec@1 62.500 (59.844) Prec@5 84.375 (81.479) Epoch: [53][3590/10010] Time 0.333 (0.339) Data 0.000 (0.001) Loss 1.9075 (1.7603) Prec@1 57.031 (59.843) Prec@5 79.688 (81.480) Epoch: [53][3600/10010] Time 0.334 (0.339) Data 0.001 (0.001) Loss 1.6597 (1.7605) Prec@1 61.719 (59.840) Prec@5 83.594 (81.477) Epoch: [53][3610/10010] Time 0.330 (0.339) Data 0.000 (0.001) Loss 2.0344 (1.7605) Prec@1 54.688 (59.840) Prec@5 75.000 (81.474) Epoch: [53][3620/10010] Time 0.317 (0.339) Data 0.001 (0.001) Loss 1.7497 (1.7606) Prec@1 57.812 (59.837) Prec@5 80.469 (81.473) Epoch: [53][3630/10010] Time 0.319 (0.339) Data 0.000 (0.001) Loss 1.9620 (1.7606) Prec@1 60.156 (59.841) Prec@5 80.469 (81.473) Epoch: [53][3640/10010] Time 0.337 (0.339) Data 0.001 (0.001) Loss 1.9373 (1.7608) Prec@1 61.719 (59.840) Prec@5 81.250 (81.473) Epoch: [53][3650/10010] Time 0.321 (0.339) Data 0.001 (0.001) Loss 1.7646 (1.7606) Prec@1 57.031 (59.841) Prec@5 80.469 (81.474) Epoch: [53][3660/10010] Time 0.318 (0.339) Data 0.001 (0.001) Loss 1.7871 (1.7606) Prec@1 58.594 (59.841) Prec@5 82.812 (81.477) Epoch: [53][3670/10010] Time 0.315 (0.339) Data 0.001 (0.001) Loss 1.8195 (1.7605) Prec@1 56.250 (59.842) Prec@5 82.812 (81.480) Epoch: [53][3680/10010] Time 0.330 (0.339) Data 0.001 (0.001) Loss 1.4955 (1.7605) Prec@1 58.594 (59.844) Prec@5 86.719 (81.483) Epoch: [53][3690/10010] Time 0.337 (0.339) Data 0.001 (0.001) Loss 1.9695 (1.7607) Prec@1 50.000 (59.840) Prec@5 78.906 (81.479) Epoch: [53][3700/10010] Time 0.330 (0.339) Data 0.001 (0.001) Loss 1.4327 (1.7607) Prec@1 70.312 (59.841) Prec@5 84.375 (81.478) Epoch: [53][3710/10010] Time 0.324 (0.339) Data 0.001 (0.001) Loss 1.9039 (1.7607) Prec@1 55.469 (59.840) Prec@5 79.688 (81.479) Epoch: [53][3720/10010] Time 0.333 (0.339) Data 0.000 (0.001) Loss 1.8930 (1.7607) Prec@1 60.156 (59.841) Prec@5 77.344 (81.480) Epoch: [53][3730/10010] Time 0.318 (0.339) Data 0.000 (0.001) Loss 1.6857 (1.7606) Prec@1 65.625 (59.849) Prec@5 86.719 (81.480) Epoch: [53][3740/10010] Time 0.321 (0.339) Data 0.001 (0.001) Loss 1.3738 (1.7605) Prec@1 68.750 (59.853) Prec@5 87.500 (81.484) Epoch: [53][3750/10010] Time 0.324 (0.339) Data 0.000 (0.001) Loss 1.7533 (1.7603) Prec@1 58.594 (59.855) Prec@5 82.812 (81.488) Epoch: [53][3760/10010] Time 0.324 (0.339) Data 0.000 (0.001) Loss 1.8211 (1.7602) Prec@1 62.500 (59.857) Prec@5 81.250 (81.487) Epoch: [53][3770/10010] Time 0.318 (0.339) Data 0.001 (0.001) Loss 1.5372 (1.7603) Prec@1 62.500 (59.855) Prec@5 84.375 (81.486) Epoch: [53][3780/10010] Time 0.337 (0.339) Data 0.001 (0.001) Loss 2.1067 (1.7607) Prec@1 56.250 (59.848) Prec@5 77.344 (81.479) Epoch: [53][3790/10010] Time 0.323 (0.339) Data 0.001 (0.001) Loss 1.7000 (1.7609) Prec@1 60.156 (59.844) Prec@5 82.031 (81.475) Epoch: [53][3800/10010] Time 0.336 (0.339) Data 0.000 (0.001) Loss 1.9558 (1.7610) Prec@1 62.500 (59.842) Prec@5 79.688 (81.475) Epoch: [53][3810/10010] Time 0.322 (0.338) Data 0.000 (0.001) Loss 1.6122 (1.7609) Prec@1 59.375 (59.842) Prec@5 83.594 (81.480) Epoch: [53][3820/10010] Time 0.342 (0.338) Data 0.001 (0.001) Loss 1.7335 (1.7609) Prec@1 61.719 (59.841) Prec@5 85.938 (81.480) Epoch: [53][3830/10010] Time 0.316 (0.338) Data 0.000 (0.001) Loss 1.4975 (1.7611) Prec@1 66.406 (59.840) Prec@5 81.250 (81.477) Epoch: [53][3840/10010] Time 0.330 (0.338) Data 0.000 (0.001) Loss 1.8141 (1.7608) Prec@1 56.250 (59.845) Prec@5 80.469 (81.480) Epoch: [53][3850/10010] Time 0.323 (0.338) Data 0.001 (0.001) Loss 1.3900 (1.7607) Prec@1 62.500 (59.848) Prec@5 87.500 (81.482) Epoch: [53][3860/10010] Time 0.320 (0.338) Data 0.000 (0.001) Loss 1.7763 (1.7607) Prec@1 64.062 (59.850) Prec@5 81.250 (81.483) Epoch: [53][3870/10010] Time 0.323 (0.338) Data 0.001 (0.001) Loss 1.8493 (1.7607) Prec@1 60.156 (59.849) Prec@5 79.688 (81.483) Epoch: [53][3880/10010] Time 0.317 (0.338) Data 0.001 (0.001) Loss 1.6965 (1.7609) Prec@1 60.156 (59.844) Prec@5 78.906 (81.483) Epoch: [53][3890/10010] Time 0.335 (0.338) Data 0.001 (0.001) Loss 2.2120 (1.7611) Prec@1 51.562 (59.839) Prec@5 75.781 (81.480) Epoch: [53][3900/10010] Time 0.332 (0.338) Data 0.001 (0.001) Loss 2.0817 (1.7612) Prec@1 51.562 (59.839) Prec@5 77.344 (81.481) Epoch: [53][3910/10010] Time 0.316 (0.338) Data 0.001 (0.001) Loss 1.6798 (1.7611) Prec@1 59.375 (59.839) Prec@5 82.031 (81.482) Epoch: [53][3920/10010] Time 0.339 (0.338) Data 0.000 (0.001) Loss 2.0410 (1.7613) Prec@1 56.250 (59.832) Prec@5 77.344 (81.480) Epoch: [53][3930/10010] Time 0.322 (0.338) Data 0.001 (0.001) Loss 1.7041 (1.7614) Prec@1 61.719 (59.832) Prec@5 79.688 (81.477) Epoch: [53][3940/10010] Time 0.334 (0.338) Data 0.001 (0.001) Loss 1.4435 (1.7612) Prec@1 66.406 (59.832) Prec@5 85.938 (81.480) Epoch: [53][3950/10010] Time 0.332 (0.338) Data 0.001 (0.001) Loss 1.6547 (1.7612) Prec@1 64.844 (59.832) Prec@5 85.938 (81.481) Epoch: [53][3960/10010] Time 0.321 (0.338) Data 0.001 (0.001) Loss 1.8433 (1.7612) Prec@1 57.812 (59.827) Prec@5 79.688 (81.477) Epoch: [53][3970/10010] Time 0.333 (0.338) Data 0.001 (0.001) Loss 1.9256 (1.7614) Prec@1 53.125 (59.824) Prec@5 78.125 (81.474) Epoch: [53][3980/10010] Time 0.317 (0.338) Data 0.001 (0.001) Loss 1.8579 (1.7616) Prec@1 57.812 (59.822) Prec@5 78.906 (81.472) Epoch: [53][3990/10010] Time 0.331 (0.338) Data 0.001 (0.001) Loss 1.9216 (1.7617) Prec@1 64.062 (59.816) Prec@5 79.688 (81.471) Epoch: [53][4000/10010] Time 0.316 (0.338) Data 0.001 (0.001) Loss 1.7625 (1.7617) Prec@1 58.594 (59.817) Prec@5 81.250 (81.470) Epoch: [53][4010/10010] Time 0.340 (0.338) Data 0.001 (0.001) Loss 1.4526 (1.7619) Prec@1 66.406 (59.817) Prec@5 85.938 (81.465) Epoch: [53][4020/10010] Time 0.318 (0.338) Data 0.001 (0.001) Loss 1.6689 (1.7617) Prec@1 64.062 (59.822) Prec@5 83.594 (81.468) Epoch: [53][4030/10010] Time 0.315 (0.338) Data 0.001 (0.001) Loss 1.9817 (1.7622) Prec@1 59.375 (59.815) Prec@5 78.125 (81.459) Epoch: [53][4040/10010] Time 0.321 (0.338) Data 0.001 (0.001) Loss 1.5642 (1.7620) Prec@1 62.500 (59.822) Prec@5 84.375 (81.464) Epoch: [53][4050/10010] Time 0.321 (0.338) Data 0.000 (0.001) Loss 1.6488 (1.7620) Prec@1 56.250 (59.818) Prec@5 84.375 (81.465) Epoch: [53][4060/10010] Time 0.317 (0.338) Data 0.001 (0.001) Loss 1.9923 (1.7620) Prec@1 55.469 (59.818) Prec@5 79.688 (81.467) Epoch: [53][4070/10010] Time 0.317 (0.338) Data 0.000 (0.001) Loss 2.0338 (1.7620) Prec@1 53.125 (59.818) Prec@5 77.344 (81.470) Epoch: [53][4080/10010] Time 0.338 (0.338) Data 0.000 (0.001) Loss 1.6402 (1.7619) Prec@1 63.281 (59.819) Prec@5 82.812 (81.471) Epoch: [53][4090/10010] Time 0.332 (0.338) Data 0.000 (0.001) Loss 1.5551 (1.7621) Prec@1 64.844 (59.812) Prec@5 85.938 (81.466) Epoch: [53][4100/10010] Time 0.323 (0.338) Data 0.000 (0.001) Loss 1.7440 (1.7621) Prec@1 64.844 (59.816) Prec@5 82.812 (81.469) Epoch: [53][4110/10010] Time 0.322 (0.338) Data 0.000 (0.001) Loss 1.8271 (1.7619) Prec@1 59.375 (59.819) Prec@5 79.688 (81.475) Epoch: [53][4120/10010] Time 0.330 (0.338) Data 0.001 (0.001) Loss 1.9268 (1.7620) Prec@1 57.812 (59.820) Prec@5 78.125 (81.470) Epoch: [53][4130/10010] Time 0.325 (0.338) Data 0.001 (0.001) Loss 1.7331 (1.7621) Prec@1 61.719 (59.818) Prec@5 81.250 (81.468) Epoch: [53][4140/10010] Time 0.339 (0.338) Data 0.000 (0.001) Loss 1.8853 (1.7620) Prec@1 57.812 (59.819) Prec@5 78.906 (81.468) Epoch: [53][4150/10010] Time 0.342 (0.338) Data 0.001 (0.001) Loss 2.2661 (1.7623) Prec@1 46.094 (59.813) Prec@5 69.531 (81.462) Epoch: [53][4160/10010] Time 0.329 (0.337) Data 0.000 (0.001) Loss 1.7678 (1.7622) Prec@1 57.031 (59.812) Prec@5 83.594 (81.464) Epoch: [53][4170/10010] Time 0.329 (0.337) Data 0.000 (0.001) Loss 1.9097 (1.7621) Prec@1 57.031 (59.812) Prec@5 76.562 (81.465) Epoch: [53][4180/10010] Time 0.334 (0.337) Data 0.001 (0.001) Loss 1.6808 (1.7624) Prec@1 64.844 (59.807) Prec@5 82.812 (81.463) Epoch: [53][4190/10010] Time 0.333 (0.337) Data 0.001 (0.001) Loss 1.4894 (1.7626) Prec@1 63.281 (59.804) Prec@5 85.938 (81.457) Epoch: [53][4200/10010] Time 0.338 (0.337) Data 0.001 (0.001) Loss 1.6915 (1.7628) Prec@1 63.281 (59.806) Prec@5 82.031 (81.455) Epoch: [53][4210/10010] Time 0.331 (0.337) Data 0.000 (0.001) Loss 1.5677 (1.7627) Prec@1 64.844 (59.808) Prec@5 87.500 (81.458) Epoch: [53][4220/10010] Time 0.321 (0.337) Data 0.001 (0.001) Loss 1.8344 (1.7629) Prec@1 57.812 (59.805) Prec@5 82.031 (81.456) Epoch: [53][4230/10010] Time 0.322 (0.337) Data 0.000 (0.001) Loss 1.9588 (1.7630) Prec@1 56.250 (59.801) Prec@5 75.781 (81.453) Epoch: [53][4240/10010] Time 0.326 (0.337) Data 0.001 (0.001) Loss 1.8455 (1.7630) Prec@1 56.250 (59.800) Prec@5 79.688 (81.453) Epoch: [53][4250/10010] Time 0.340 (0.337) Data 0.000 (0.001) Loss 1.5357 (1.7631) Prec@1 66.406 (59.795) Prec@5 83.594 (81.450) Epoch: [53][4260/10010] Time 0.327 (0.337) Data 0.001 (0.001) Loss 1.5297 (1.7633) Prec@1 65.625 (59.794) Prec@5 85.938 (81.446) Epoch: [53][4270/10010] Time 0.336 (0.337) Data 0.001 (0.001) Loss 1.9211 (1.7633) Prec@1 55.469 (59.795) Prec@5 78.906 (81.449) Epoch: [53][4280/10010] Time 0.319 (0.337) Data 0.001 (0.001) Loss 1.6895 (1.7634) Prec@1 61.719 (59.795) Prec@5 80.469 (81.446) Epoch: [53][4290/10010] Time 0.328 (0.337) Data 0.000 (0.001) Loss 1.8594 (1.7634) Prec@1 63.281 (59.794) Prec@5 82.031 (81.448) Epoch: [53][4300/10010] Time 0.341 (0.337) Data 0.000 (0.001) Loss 1.5471 (1.7634) Prec@1 62.500 (59.794) Prec@5 86.719 (81.450) Epoch: [53][4310/10010] Time 0.317 (0.337) Data 0.001 (0.001) Loss 1.7881 (1.7634) Prec@1 60.156 (59.798) Prec@5 82.031 (81.450) Epoch: [53][4320/10010] Time 0.317 (0.337) Data 0.001 (0.001) Loss 1.6736 (1.7634) Prec@1 57.031 (59.796) Prec@5 82.031 (81.448) Epoch: [53][4330/10010] Time 0.325 (0.337) Data 0.000 (0.001) Loss 1.4847 (1.7633) Prec@1 60.156 (59.800) Prec@5 88.281 (81.452) Epoch: [53][4340/10010] Time 0.316 (0.337) Data 0.001 (0.001) Loss 1.8182 (1.7633) Prec@1 61.719 (59.799) Prec@5 80.469 (81.454) Epoch: [53][4350/10010] Time 0.339 (0.337) Data 0.001 (0.001) Loss 1.6605 (1.7632) Prec@1 67.188 (59.799) Prec@5 81.250 (81.456) Epoch: [53][4360/10010] Time 0.341 (0.337) Data 0.001 (0.001) Loss 1.9963 (1.7635) Prec@1 60.156 (59.794) Prec@5 77.344 (81.451) Epoch: [53][4370/10010] Time 0.327 (0.337) Data 0.000 (0.001) Loss 1.4209 (1.7635) Prec@1 68.750 (59.791) Prec@5 85.938 (81.449) Epoch: [53][4380/10010] Time 0.320 (0.337) Data 0.000 (0.001) Loss 1.8743 (1.7637) Prec@1 59.375 (59.785) Prec@5 79.688 (81.444) Epoch: [53][4390/10010] Time 0.334 (0.337) Data 0.001 (0.001) Loss 1.5299 (1.7638) Prec@1 61.719 (59.782) Prec@5 85.156 (81.443) Epoch: [53][4400/10010] Time 0.331 (0.337) Data 0.000 (0.001) Loss 1.7106 (1.7640) Prec@1 63.281 (59.780) Prec@5 83.594 (81.442) Epoch: [53][4410/10010] Time 0.325 (0.337) Data 0.001 (0.001) Loss 1.7019 (1.7640) Prec@1 61.719 (59.783) Prec@5 84.375 (81.444) Epoch: [53][4420/10010] Time 0.337 (0.337) Data 0.000 (0.001) Loss 1.7714 (1.7641) Prec@1 59.375 (59.784) Prec@5 81.250 (81.442) Epoch: [53][4430/10010] Time 0.339 (0.337) Data 0.001 (0.001) Loss 1.8696 (1.7642) Prec@1 64.844 (59.783) Prec@5 80.469 (81.439) Epoch: [53][4440/10010] Time 0.319 (0.337) Data 0.001 (0.001) Loss 1.7429 (1.7644) Prec@1 61.719 (59.781) Prec@5 82.812 (81.437) Epoch: [53][4450/10010] Time 0.334 (0.337) Data 0.001 (0.001) Loss 1.3096 (1.7644) Prec@1 67.969 (59.778) Prec@5 90.625 (81.438) Epoch: [53][4460/10010] Time 0.340 (0.337) Data 0.001 (0.001) Loss 1.8109 (1.7643) Prec@1 58.594 (59.780) Prec@5 78.125 (81.438) Epoch: [53][4470/10010] Time 0.322 (0.337) Data 0.001 (0.001) Loss 2.0220 (1.7644) Prec@1 55.469 (59.779) Prec@5 78.125 (81.436) Epoch: [53][4480/10010] Time 0.337 (0.337) Data 0.001 (0.001) Loss 1.3613 (1.7643) Prec@1 69.531 (59.782) Prec@5 86.719 (81.437) Epoch: [53][4490/10010] Time 0.327 (0.337) Data 0.000 (0.001) Loss 1.9797 (1.7644) Prec@1 58.594 (59.781) Prec@5 79.688 (81.435) Epoch: [53][4500/10010] Time 0.317 (0.337) Data 0.001 (0.001) Loss 1.5364 (1.7642) Prec@1 64.062 (59.783) Prec@5 88.281 (81.440) Epoch: [53][4510/10010] Time 0.318 (0.337) Data 0.001 (0.001) Loss 2.0336 (1.7643) Prec@1 60.938 (59.781) Prec@5 79.688 (81.441) Epoch: [53][4520/10010] Time 0.326 (0.337) Data 0.001 (0.001) Loss 1.7177 (1.7644) Prec@1 53.906 (59.776) Prec@5 80.469 (81.440) Epoch: [53][4530/10010] Time 0.309 (0.337) Data 0.001 (0.001) Loss 1.8328 (1.7640) Prec@1 60.938 (59.782) Prec@5 77.344 (81.443) Epoch: [53][4540/10010] Time 0.320 (0.337) Data 0.001 (0.001) Loss 1.9711 (1.7641) Prec@1 57.031 (59.779) Prec@5 79.688 (81.443) Epoch: [53][4550/10010] Time 0.312 (0.337) Data 0.000 (0.001) Loss 1.9726 (1.7641) Prec@1 52.344 (59.780) Prec@5 80.469 (81.443) Epoch: [53][4560/10010] Time 0.317 (0.337) Data 0.001 (0.001) Loss 1.9377 (1.7638) Prec@1 53.125 (59.783) Prec@5 81.250 (81.446) Epoch: [53][4570/10010] Time 0.322 (0.337) Data 0.001 (0.001) Loss 1.5304 (1.7638) Prec@1 60.156 (59.787) Prec@5 87.500 (81.447) Epoch: [53][4580/10010] Time 0.320 (0.336) Data 0.001 (0.001) Loss 1.5584 (1.7637) Prec@1 66.406 (59.791) Prec@5 85.938 (81.450) Epoch: [53][4590/10010] Time 0.313 (0.336) Data 0.001 (0.001) Loss 1.9292 (1.7638) Prec@1 55.469 (59.787) Prec@5 74.219 (81.446) Epoch: [53][4600/10010] Time 0.333 (0.336) Data 0.000 (0.001) Loss 2.1419 (1.7637) Prec@1 49.219 (59.791) Prec@5 71.875 (81.446) Epoch: [53][4610/10010] Time 0.316 (0.336) Data 0.001 (0.001) Loss 1.4936 (1.7634) Prec@1 66.406 (59.797) Prec@5 85.156 (81.448) Epoch: [53][4620/10010] Time 0.317 (0.336) Data 0.001 (0.001) Loss 1.8101 (1.7633) Prec@1 58.594 (59.799) Prec@5 84.375 (81.449) Epoch: [53][4630/10010] Time 0.337 (0.336) Data 0.000 (0.001) Loss 1.8362 (1.7634) Prec@1 57.812 (59.797) Prec@5 80.469 (81.449) Epoch: [53][4640/10010] Time 0.339 (0.336) Data 0.000 (0.001) Loss 2.2298 (1.7635) Prec@1 52.344 (59.795) Prec@5 73.438 (81.451) Epoch: [53][4650/10010] Time 0.337 (0.336) Data 0.000 (0.001) Loss 1.2689 (1.7635) Prec@1 71.094 (59.796) Prec@5 85.938 (81.449) Epoch: [53][4660/10010] Time 0.319 (0.336) Data 0.000 (0.001) Loss 1.9554 (1.7636) Prec@1 53.906 (59.797) Prec@5 75.000 (81.445) Epoch: [53][4670/10010] Time 0.316 (0.336) Data 0.001 (0.001) Loss 1.4322 (1.7634) Prec@1 65.625 (59.801) Prec@5 85.156 (81.448) Epoch: [53][4680/10010] Time 0.337 (0.336) Data 0.000 (0.001) Loss 1.9017 (1.7635) Prec@1 56.250 (59.799) Prec@5 79.688 (81.442) Epoch: [53][4690/10010] Time 0.328 (0.336) Data 0.001 (0.001) Loss 1.8781 (1.7635) Prec@1 57.812 (59.802) Prec@5 81.250 (81.445) Epoch: [53][4700/10010] Time 0.321 (0.336) Data 0.001 (0.001) Loss 1.6834 (1.7635) Prec@1 58.594 (59.800) Prec@5 82.031 (81.441) Epoch: [53][4710/10010] Time 0.329 (0.336) Data 0.000 (0.001) Loss 2.0172 (1.7637) Prec@1 53.906 (59.797) Prec@5 77.344 (81.439) Epoch: [53][4720/10010] Time 0.336 (0.336) Data 0.001 (0.001) Loss 1.6750 (1.7639) Prec@1 59.375 (59.798) Prec@5 83.594 (81.436) Epoch: [53][4730/10010] Time 0.319 (0.336) Data 0.001 (0.001) Loss 1.5034 (1.7638) Prec@1 67.188 (59.801) Prec@5 84.375 (81.435) Epoch: [53][4740/10010] Time 0.329 (0.336) Data 0.001 (0.001) Loss 1.7183 (1.7639) Prec@1 63.281 (59.806) Prec@5 84.375 (81.435) Epoch: [53][4750/10010] Time 0.341 (0.336) Data 0.000 (0.001) Loss 1.5244 (1.7639) Prec@1 63.281 (59.804) Prec@5 89.062 (81.435) Epoch: [53][4760/10010] Time 0.337 (0.336) Data 0.001 (0.001) Loss 1.8958 (1.7640) Prec@1 62.500 (59.802) Prec@5 79.688 (81.432) Epoch: [53][4770/10010] Time 0.317 (0.336) Data 0.001 (0.001) Loss 1.8245 (1.7640) Prec@1 60.156 (59.804) Prec@5 82.812 (81.431) Epoch: [53][4780/10010] Time 0.339 (0.336) Data 0.000 (0.001) Loss 2.3080 (1.7640) Prec@1 58.594 (59.808) Prec@5 75.000 (81.432) Epoch: [53][4790/10010] Time 0.336 (0.336) Data 0.001 (0.001) Loss 1.3787 (1.7640) Prec@1 67.188 (59.806) Prec@5 88.281 (81.434) Epoch: [53][4800/10010] Time 0.319 (0.336) Data 0.000 (0.001) Loss 1.5322 (1.7641) Prec@1 63.281 (59.806) Prec@5 82.812 (81.433) Epoch: [53][4810/10010] Time 0.349 (0.336) Data 0.001 (0.001) Loss 1.7984 (1.7640) Prec@1 60.938 (59.803) Prec@5 80.469 (81.433) Epoch: [53][4820/10010] Time 0.318 (0.336) Data 0.001 (0.001) Loss 1.8538 (1.7641) Prec@1 58.594 (59.801) Prec@5 76.562 (81.431) Epoch: [53][4830/10010] Time 0.340 (0.336) Data 0.001 (0.001) Loss 1.8357 (1.7641) Prec@1 60.156 (59.800) Prec@5 79.688 (81.431) Epoch: [53][4840/10010] Time 0.325 (0.336) Data 0.001 (0.001) Loss 1.4613 (1.7639) Prec@1 71.875 (59.806) Prec@5 86.719 (81.433) Epoch: [53][4850/10010] Time 0.332 (0.336) Data 0.001 (0.001) Loss 1.9183 (1.7638) Prec@1 53.906 (59.806) Prec@5 80.469 (81.433) Epoch: [53][4860/10010] Time 0.341 (0.336) Data 0.000 (0.001) Loss 1.5572 (1.7636) Prec@1 64.844 (59.812) Prec@5 82.812 (81.434) Epoch: [53][4870/10010] Time 0.323 (0.336) Data 0.000 (0.001) Loss 1.7530 (1.7639) Prec@1 60.156 (59.809) Prec@5 82.812 (81.431) Epoch: [53][4880/10010] Time 0.327 (0.336) Data 0.001 (0.001) Loss 1.5306 (1.7639) Prec@1 64.844 (59.810) Prec@5 83.594 (81.431) Epoch: [53][4890/10010] Time 0.322 (0.336) Data 0.001 (0.001) Loss 1.7712 (1.7639) Prec@1 56.250 (59.810) Prec@5 82.812 (81.430) Epoch: [53][4900/10010] Time 0.334 (0.336) Data 0.000 (0.001) Loss 1.7928 (1.7642) Prec@1 60.938 (59.805) Prec@5 80.469 (81.428) Epoch: [53][4910/10010] Time 0.338 (0.336) Data 0.001 (0.001) Loss 1.7719 (1.7641) Prec@1 55.469 (59.809) Prec@5 79.688 (81.428) Epoch: [53][4920/10010] Time 0.324 (0.336) Data 0.000 (0.001) Loss 1.9036 (1.7641) Prec@1 53.906 (59.807) Prec@5 82.031 (81.430) Epoch: [53][4930/10010] Time 0.320 (0.336) Data 0.001 (0.001) Loss 1.6461 (1.7642) Prec@1 55.469 (59.803) Prec@5 82.812 (81.430) Epoch: [53][4940/10010] Time 0.327 (0.336) Data 0.001 (0.001) Loss 1.7897 (1.7642) Prec@1 57.812 (59.800) Prec@5 80.469 (81.431) Epoch: [53][4950/10010] Time 0.319 (0.336) Data 0.001 (0.001) Loss 1.5246 (1.7641) Prec@1 67.188 (59.805) Prec@5 85.938 (81.433) Epoch: [53][4960/10010] Time 0.320 (0.336) Data 0.000 (0.001) Loss 1.6336 (1.7643) Prec@1 57.812 (59.800) Prec@5 83.594 (81.431) Epoch: [53][4970/10010] Time 0.319 (0.336) Data 0.001 (0.001) Loss 1.5994 (1.7641) Prec@1 62.500 (59.801) Prec@5 82.031 (81.434) Epoch: [53][4980/10010] Time 0.330 (0.336) Data 0.001 (0.001) Loss 2.0412 (1.7644) Prec@1 56.250 (59.798) Prec@5 76.562 (81.429) Epoch: [53][4990/10010] Time 0.331 (0.336) Data 0.001 (0.001) Loss 1.9410 (1.7643) Prec@1 54.688 (59.797) Prec@5 80.469 (81.431) Epoch: [53][5000/10010] Time 0.319 (0.336) Data 0.001 (0.001) Loss 1.6403 (1.7643) Prec@1 60.156 (59.797) Prec@5 78.906 (81.428) Epoch: [53][5010/10010] Time 0.324 (0.336) Data 0.001 (0.001) Loss 1.5074 (1.7641) Prec@1 66.406 (59.798) Prec@5 85.156 (81.430) Epoch: [53][5020/10010] Time 0.321 (0.336) Data 0.000 (0.001) Loss 1.9680 (1.7641) Prec@1 55.469 (59.793) Prec@5 76.562 (81.430) Epoch: [53][5030/10010] Time 0.322 (0.336) Data 0.001 (0.001) Loss 1.5742 (1.7640) Prec@1 63.281 (59.796) Prec@5 85.938 (81.433) Epoch: [53][5040/10010] Time 0.322 (0.336) Data 0.000 (0.001) Loss 1.7000 (1.7640) Prec@1 64.844 (59.798) Prec@5 82.031 (81.433) Epoch: [53][5050/10010] Time 0.319 (0.336) Data 0.001 (0.001) Loss 1.7926 (1.7640) Prec@1 59.375 (59.796) Prec@5 76.562 (81.430) Epoch: [53][5060/10010] Time 0.335 (0.336) Data 0.001 (0.001) Loss 1.9746 (1.7642) Prec@1 57.812 (59.793) Prec@5 78.906 (81.427) Epoch: [53][5070/10010] Time 0.329 (0.336) Data 0.000 (0.001) Loss 1.9973 (1.7644) Prec@1 54.688 (59.792) Prec@5 77.344 (81.425) Epoch: [53][5080/10010] Time 0.327 (0.336) Data 0.001 (0.001) Loss 2.0245 (1.7646) Prec@1 56.250 (59.788) Prec@5 80.469 (81.422) Epoch: [53][5090/10010] Time 0.343 (0.336) Data 0.000 (0.001) Loss 1.7013 (1.7647) Prec@1 60.938 (59.789) Prec@5 86.719 (81.423) Epoch: [53][5100/10010] Time 0.320 (0.336) Data 0.000 (0.001) Loss 1.7909 (1.7645) Prec@1 54.688 (59.791) Prec@5 82.812 (81.424) /data/vision/torralba/deepscene/lib/anaconda2/lib/python2.7/site-packages/PIL/TiffImagePlugin.py:692: UserWarning: Possibly corrupt EXIF data. Expecting to read 2555904 bytes but only got 0. Skipping tag 0 "Skipping tag %s" % (size, len(data), tag)) Epoch: [53][5110/10010] Time 0.318 (0.336) Data 0.001 (0.001) Loss 1.8418 (1.7647) Prec@1 52.344 (59.786) Prec@5 85.938 (81.422) Epoch: [53][5120/10010] Time 0.323 (0.336) Data 0.000 (0.001) Loss 1.5602 (1.7648) Prec@1 62.500 (59.785) Prec@5 83.594 (81.422) Epoch: [53][5130/10010] Time 0.316 (0.335) Data 0.000 (0.001) Loss 1.5473 (1.7646) Prec@1 67.188 (59.791) Prec@5 85.938 (81.426) Epoch: [53][5140/10010] Time 0.336 (0.335) Data 0.001 (0.001) Loss 1.8157 (1.7647) Prec@1 60.938 (59.791) Prec@5 82.812 (81.423) Epoch: [53][5150/10010] Time 0.334 (0.335) Data 0.001 (0.001) Loss 1.6393 (1.7646) Prec@1 58.594 (59.787) Prec@5 82.812 (81.423) Epoch: [53][5160/10010] Time 0.332 (0.335) Data 0.001 (0.001) Loss 1.5482 (1.7645) Prec@1 62.500 (59.792) Prec@5 84.375 (81.425) Epoch: [53][5170/10010] Time 0.321 (0.335) Data 0.001 (0.001) Loss 1.9936 (1.7645) Prec@1 53.906 (59.792) Prec@5 79.688 (81.426) Epoch: [53][5180/10010] Time 0.314 (0.335) Data 0.001 (0.001) Loss 2.0032 (1.7647) Prec@1 53.906 (59.793) Prec@5 76.562 (81.424) Epoch: [53][5190/10010] Time 0.334 (0.335) Data 0.000 (0.001) Loss 1.9995 (1.7649) Prec@1 56.250 (59.791) Prec@5 78.125 (81.418) Epoch: [53][5200/10010] Time 0.322 (0.335) Data 0.001 (0.001) Loss 1.8845 (1.7650) Prec@1 57.031 (59.789) Prec@5 82.031 (81.417) Epoch: [53][5210/10010] Time 0.314 (0.335) Data 0.000 (0.001) Loss 1.5420 (1.7649) Prec@1 62.500 (59.793) Prec@5 82.031 (81.416) Epoch: [53][5220/10010] Time 0.321 (0.335) Data 0.000 (0.001) Loss 1.2774 (1.7649) Prec@1 71.094 (59.794) Prec@5 87.500 (81.419) Epoch: [53][5230/10010] Time 0.323 (0.335) Data 0.001 (0.001) Loss 1.6779 (1.7648) Prec@1 60.156 (59.794) Prec@5 82.031 (81.418) Epoch: [53][5240/10010] Time 0.310 (0.335) Data 0.001 (0.001) Loss 2.0586 (1.7649) Prec@1 53.906 (59.796) Prec@5 78.125 (81.417) Epoch: [53][5250/10010] Time 0.334 (0.335) Data 0.001 (0.001) Loss 1.7248 (1.7648) Prec@1 58.594 (59.798) Prec@5 83.594 (81.417) Epoch: [53][5260/10010] Time 0.326 (0.335) Data 0.001 (0.001) Loss 1.6220 (1.7647) Prec@1 60.938 (59.799) Prec@5 82.031 (81.419) Epoch: [53][5270/10010] Time 0.317 (0.335) Data 0.001 (0.001) Loss 1.6782 (1.7646) Prec@1 60.156 (59.802) Prec@5 82.812 (81.421) Epoch: [53][5280/10010] Time 0.328 (0.335) Data 0.001 (0.001) Loss 1.9322 (1.7649) Prec@1 55.469 (59.798) Prec@5 79.688 (81.417) Epoch: [53][5290/10010] Time 0.315 (0.335) Data 0.000 (0.001) Loss 1.8599 (1.7649) Prec@1 57.031 (59.797) Prec@5 79.688 (81.417) Epoch: [53][5300/10010] Time 0.319 (0.335) Data 0.001 (0.001) Loss 2.4049 (1.7650) Prec@1 48.438 (59.796) Prec@5 69.531 (81.415) Epoch: [53][5310/10010] Time 0.322 (0.335) Data 0.001 (0.001) Loss 2.0043 (1.7649) Prec@1 63.281 (59.800) Prec@5 76.562 (81.416) Epoch: [53][5320/10010] Time 0.340 (0.335) Data 0.001 (0.001) Loss 2.0361 (1.7650) Prec@1 57.031 (59.801) Prec@5 77.344 (81.416) Epoch: [53][5330/10010] Time 0.323 (0.335) Data 0.001 (0.001) Loss 1.5642 (1.7651) Prec@1 61.719 (59.798) Prec@5 83.594 (81.411) Epoch: [53][5340/10010] Time 0.331 (0.335) Data 0.001 (0.001) Loss 1.4757 (1.7650) Prec@1 64.844 (59.801) Prec@5 84.375 (81.411) Epoch: [53][5350/10010] Time 0.321 (0.335) Data 0.001 (0.001) Loss 1.9781 (1.7651) Prec@1 56.250 (59.798) Prec@5 76.562 (81.409) Epoch: [53][5360/10010] Time 0.329 (0.335) Data 0.000 (0.001) Loss 1.8848 (1.7651) Prec@1 57.031 (59.799) Prec@5 81.250 (81.408) Epoch: [53][5370/10010] Time 0.338 (0.335) Data 0.000 (0.001) Loss 1.7329 (1.7651) Prec@1 61.719 (59.797) Prec@5 85.156 (81.409) Epoch: [53][5380/10010] Time 0.338 (0.335) Data 0.000 (0.001) Loss 1.5834 (1.7652) Prec@1 69.531 (59.799) Prec@5 81.250 (81.408) Epoch: [53][5390/10010] Time 0.315 (0.335) Data 0.000 (0.001) Loss 1.6509 (1.7652) Prec@1 60.938 (59.798) Prec@5 81.250 (81.404) Epoch: [53][5400/10010] Time 0.331 (0.335) Data 0.001 (0.001) Loss 1.7711 (1.7653) Prec@1 60.156 (59.795) Prec@5 82.031 (81.405) Epoch: [53][5410/10010] Time 0.342 (0.335) Data 0.000 (0.001) Loss 2.1587 (1.7651) Prec@1 53.906 (59.801) Prec@5 77.344 (81.407) Epoch: [53][5420/10010] Time 0.328 (0.335) Data 0.001 (0.001) Loss 1.8271 (1.7651) Prec@1 58.594 (59.800) Prec@5 78.125 (81.409) Epoch: [53][5430/10010] Time 0.318 (0.335) Data 0.001 (0.001) Loss 1.7686 (1.7651) Prec@1 62.500 (59.801) Prec@5 82.031 (81.408) Epoch: [53][5440/10010] Time 0.321 (0.335) Data 0.000 (0.001) Loss 1.8739 (1.7652) Prec@1 57.031 (59.800) Prec@5 80.469 (81.404) Epoch: [53][5450/10010] Time 0.318 (0.335) Data 0.000 (0.001) Loss 1.8007 (1.7652) Prec@1 58.594 (59.803) Prec@5 82.031 (81.406) Epoch: [53][5460/10010] Time 0.318 (0.335) Data 0.001 (0.001) Loss 1.9193 (1.7652) Prec@1 56.250 (59.801) Prec@5 78.906 (81.406) Epoch: [53][5470/10010] Time 0.319 (0.335) Data 0.001 (0.001) Loss 1.7639 (1.7652) Prec@1 59.375 (59.800) Prec@5 83.594 (81.408) Epoch: [53][5480/10010] Time 0.313 (0.335) Data 0.001 (0.001) Loss 1.9189 (1.7654) Prec@1 60.938 (59.798) Prec@5 78.906 (81.405) Epoch: [53][5490/10010] Time 0.340 (0.335) Data 0.001 (0.001) Loss 1.8695 (1.7653) Prec@1 60.156 (59.799) Prec@5 81.250 (81.405) Epoch: [53][5500/10010] Time 0.318 (0.335) Data 0.001 (0.001) Loss 1.9636 (1.7654) Prec@1 59.375 (59.799) Prec@5 78.906 (81.402) /data/vision/torralba/deepscene/lib/anaconda2/lib/python2.7/site-packages/PIL/TiffImagePlugin.py:709: UserWarning: Corrupt EXIF data. Expecting to read 4 bytes but only got 0. warnings.warn(str(msg)) Epoch: [53][5510/10010] Time 0.318 (0.335) Data 0.003 (0.001) Loss 1.9010 (1.7652) Prec@1 60.938 (59.802) Prec@5 82.812 (81.405) Epoch: [53][5520/10010] Time 0.313 (0.335) Data 0.001 (0.001) Loss 1.8038 (1.7654) Prec@1 57.812 (59.800) Prec@5 82.031 (81.403) Epoch: [53][5530/10010] Time 0.338 (0.335) Data 0.001 (0.001) Loss 1.5817 (1.7655) Prec@1 59.375 (59.796) Prec@5 85.156 (81.402) Epoch: [53][5540/10010] Time 0.335 (0.335) Data 0.000 (0.001) Loss 1.8430 (1.7654) Prec@1 59.375 (59.799) Prec@5 81.250 (81.404) Epoch: [53][5550/10010] Time 0.314 (0.335) Data 0.001 (0.001) Loss 1.8876 (1.7655) Prec@1 62.500 (59.797) Prec@5 80.469 (81.403) Epoch: [53][5560/10010] Time 0.313 (0.335) Data 0.000 (0.001) Loss 1.7213 (1.7656) Prec@1 55.469 (59.795) Prec@5 83.594 (81.401) /data/vision/torralba/deepscene/lib/anaconda2/lib/python2.7/site-packages/PIL/TiffImagePlugin.py:692: UserWarning: Possibly corrupt EXIF data. Expecting to read 2555904 bytes but only got 0. Skipping tag 0 "Skipping tag %s" % (size, len(data), tag)) Epoch: [53][5570/10010] Time 0.337 (0.335) Data 0.001 (0.001) Loss 1.5956 (1.7656) Prec@1 62.500 (59.795) Prec@5 85.156 (81.402) Epoch: [53][5580/10010] Time 0.337 (0.335) Data 0.000 (0.001) Loss 1.3904 (1.7656) Prec@1 65.625 (59.792) Prec@5 86.719 (81.402) Epoch: [53][5590/10010] Time 0.324 (0.335) Data 0.000 (0.001) Loss 1.4849 (1.7655) Prec@1 63.281 (59.792) Prec@5 88.281 (81.404) Epoch: [53][5600/10010] Time 0.318 (0.335) Data 0.001 (0.001) Loss 1.6790 (1.7656) Prec@1 64.844 (59.792) Prec@5 82.031 (81.402) Epoch: [53][5610/10010] Time 0.321 (0.335) Data 0.001 (0.001) Loss 1.8581 (1.7655) Prec@1 55.469 (59.791) Prec@5 79.688 (81.402) Epoch: [53][5620/10010] Time 0.334 (0.335) Data 0.000 (0.001) Loss 1.7717 (1.7653) Prec@1 60.938 (59.796) Prec@5 81.250 (81.405) Epoch: [53][5630/10010] Time 0.333 (0.335) Data 0.000 (0.001) Loss 1.7582 (1.7653) Prec@1 62.500 (59.795) Prec@5 78.125 (81.406) Epoch: [53][5640/10010] Time 0.323 (0.335) Data 0.001 (0.001) Loss 1.6459 (1.7653) Prec@1 60.938 (59.795) Prec@5 85.156 (81.406) Epoch: [53][5650/10010] Time 0.315 (0.335) Data 0.000 (0.001) Loss 2.0008 (1.7656) Prec@1 57.812 (59.792) Prec@5 77.344 (81.402) Epoch: [53][5660/10010] Time 0.329 (0.335) Data 0.001 (0.001) Loss 2.0413 (1.7657) Prec@1 58.594 (59.793) Prec@5 75.000 (81.398) Epoch: [53][5670/10010] Time 0.338 (0.335) Data 0.001 (0.001) Loss 1.6763 (1.7656) Prec@1 62.500 (59.794) Prec@5 83.594 (81.400) Epoch: [53][5680/10010] Time 0.334 (0.335) Data 0.000 (0.001) Loss 1.8261 (1.7656) Prec@1 58.594 (59.794) Prec@5 80.469 (81.400) Epoch: [53][5690/10010] Time 0.338 (0.335) Data 0.000 (0.001) Loss 1.6536 (1.7658) Prec@1 60.156 (59.791) Prec@5 81.250 (81.400) Epoch: [53][5700/10010] Time 0.332 (0.335) Data 0.001 (0.001) Loss 1.4746 (1.7658) Prec@1 64.844 (59.791) Prec@5 89.062 (81.402) Epoch: [53][5710/10010] Time 0.313 (0.335) Data 0.001 (0.001) Loss 1.9199 (1.7656) Prec@1 53.125 (59.796) Prec@5 80.469 (81.404) Epoch: [53][5720/10010] Time 0.337 (0.335) Data 0.001 (0.001) Loss 1.8317 (1.7657) Prec@1 54.688 (59.795) Prec@5 78.906 (81.403) Epoch: [53][5730/10010] Time 0.338 (0.335) Data 0.001 (0.001) Loss 1.7794 (1.7656) Prec@1 57.031 (59.794) Prec@5 78.125 (81.401) Epoch: [53][5740/10010] Time 0.331 (0.335) Data 0.001 (0.001) Loss 1.6277 (1.7656) Prec@1 62.500 (59.795) Prec@5 81.250 (81.399) Epoch: [53][5750/10010] Time 0.321 (0.335) Data 0.001 (0.001) Loss 1.8279 (1.7658) Prec@1 60.156 (59.791) Prec@5 79.688 (81.394) Epoch: [53][5760/10010] Time 0.322 (0.335) Data 0.001 (0.001) Loss 1.6546 (1.7658) Prec@1 62.500 (59.790) Prec@5 83.594 (81.393) Epoch: [53][5770/10010] Time 0.331 (0.335) Data 0.001 (0.001) Loss 1.7356 (1.7660) Prec@1 61.719 (59.788) Prec@5 85.156 (81.391) Epoch: [53][5780/10010] Time 0.336 (0.335) Data 0.001 (0.001) Loss 1.7327 (1.7660) Prec@1 59.375 (59.784) Prec@5 85.938 (81.390) Epoch: [53][5790/10010] Time 0.321 (0.335) Data 0.001 (0.001) Loss 1.9262 (1.7660) Prec@1 60.938 (59.784) Prec@5 76.562 (81.389) Epoch: [53][5800/10010] Time 0.319 (0.335) Data 0.001 (0.001) Loss 1.7738 (1.7659) Prec@1 56.250 (59.783) Prec@5 82.031 (81.389) Epoch: [53][5810/10010] Time 0.321 (0.335) Data 0.000 (0.001) Loss 1.3999 (1.7657) Prec@1 71.875 (59.788) Prec@5 86.719 (81.392) Epoch: [53][5820/10010] Time 0.335 (0.335) Data 0.001 (0.001) Loss 1.7292 (1.7659) Prec@1 61.719 (59.790) Prec@5 78.906 (81.390) Epoch: [53][5830/10010] Time 0.317 (0.334) Data 0.001 (0.001) Loss 1.7830 (1.7659) Prec@1 60.156 (59.788) Prec@5 79.688 (81.389) Epoch: [53][5840/10010] Time 0.325 (0.334) Data 0.001 (0.001) Loss 1.9505 (1.7659) Prec@1 59.375 (59.788) Prec@5 75.781 (81.389) Epoch: [53][5850/10010] Time 0.341 (0.334) Data 0.001 (0.001) Loss 1.5898 (1.7659) Prec@1 61.719 (59.787) Prec@5 83.594 (81.390) Epoch: [53][5860/10010] Time 0.320 (0.334) Data 0.001 (0.001) Loss 1.5171 (1.7659) Prec@1 62.500 (59.786) Prec@5 79.688 (81.389) Epoch: [53][5870/10010] Time 0.321 (0.334) Data 0.000 (0.001) Loss 2.0330 (1.7661) Prec@1 53.906 (59.783) Prec@5 78.125 (81.387) Epoch: [53][5880/10010] Time 0.321 (0.334) Data 0.001 (0.001) Loss 1.6532 (1.7660) Prec@1 60.156 (59.785) Prec@5 82.031 (81.387) Epoch: [53][5890/10010] Time 0.338 (0.334) Data 0.000 (0.001) Loss 1.6002 (1.7661) Prec@1 65.625 (59.785) Prec@5 85.938 (81.386) Epoch: [53][5900/10010] Time 0.310 (0.334) Data 0.001 (0.001) Loss 1.6183 (1.7660) Prec@1 67.188 (59.786) Prec@5 86.719 (81.387) Epoch: [53][5910/10010] Time 0.323 (0.334) Data 0.001 (0.001) Loss 1.7126 (1.7661) Prec@1 60.938 (59.785) Prec@5 78.906 (81.385) Epoch: [53][5920/10010] Time 0.330 (0.334) Data 0.001 (0.001) Loss 1.8517 (1.7661) Prec@1 60.156 (59.786) Prec@5 81.250 (81.386) Epoch: [53][5930/10010] Time 0.333 (0.334) Data 0.000 (0.001) Loss 1.8310 (1.7661) Prec@1 57.031 (59.783) Prec@5 80.469 (81.387) Epoch: [53][5940/10010] Time 0.317 (0.334) Data 0.001 (0.001) Loss 1.9192 (1.7661) Prec@1 60.938 (59.784) Prec@5 78.125 (81.387) Epoch: [53][5950/10010] Time 0.319 (0.334) Data 0.001 (0.001) Loss 1.5531 (1.7661) Prec@1 60.938 (59.781) Prec@5 82.812 (81.388) Epoch: [53][5960/10010] Time 0.332 (0.334) Data 0.001 (0.001) Loss 1.7554 (1.7661) Prec@1 60.156 (59.781) Prec@5 83.594 (81.386) Epoch: [53][5970/10010] Time 0.328 (0.334) Data 0.001 (0.001) Loss 1.8903 (1.7662) Prec@1 52.344 (59.779) Prec@5 81.250 (81.385) Epoch: [53][5980/10010] Time 0.319 (0.334) Data 0.001 (0.001) Loss 1.7480 (1.7661) Prec@1 62.500 (59.781) Prec@5 81.250 (81.386) Epoch: [53][5990/10010] Time 0.329 (0.334) Data 0.001 (0.001) Loss 1.9914 (1.7661) Prec@1 54.688 (59.782) Prec@5 80.469 (81.385) Epoch: [53][6000/10010] Time 0.332 (0.334) Data 0.000 (0.001) Loss 1.6112 (1.7662) Prec@1 65.625 (59.782) Prec@5 82.031 (81.385) Epoch: [53][6010/10010] Time 0.347 (0.334) Data 0.001 (0.001) Loss 1.6231 (1.7662) Prec@1 67.188 (59.782) Prec@5 80.469 (81.382) Epoch: [53][6020/10010] Time 0.321 (0.334) Data 0.001 (0.001) Loss 1.6755 (1.7661) Prec@1 60.938 (59.786) Prec@5 77.344 (81.384) Epoch: [53][6030/10010] Time 1.997 (0.335) Data 1.864 (0.001) Loss 2.1291 (1.7662) Prec@1 53.906 (59.783) Prec@5 73.438 (81.382) Epoch: [53][6040/10010] Time 0.315 (0.335) Data 0.001 (0.002) Loss 1.5196 (1.7662) Prec@1 60.938 (59.781) Prec@5 87.500 (81.382) Epoch: [53][6050/10010] Time 0.344 (0.335) Data 0.001 (0.002) Loss 1.7194 (1.7662) Prec@1 64.844 (59.782) Prec@5 81.250 (81.384) Epoch: [53][6060/10010] Time 0.335 (0.335) Data 0.001 (0.002) Loss 1.9672 (1.7663) Prec@1 57.031 (59.777) Prec@5 77.344 (81.382) Epoch: [53][6070/10010] Time 0.336 (0.335) Data 0.001 (0.002) Loss 1.8297 (1.7663) Prec@1 60.156 (59.775) Prec@5 82.031 (81.383) Epoch: [53][6080/10010] Time 0.331 (0.335) Data 0.000 (0.002) Loss 1.8992 (1.7663) Prec@1 53.906 (59.774) Prec@5 82.031 (81.385) Epoch: [53][6090/10010] Time 0.323 (0.335) Data 0.001 (0.002) Loss 1.8818 (1.7664) Prec@1 56.250 (59.774) Prec@5 82.031 (81.384) Epoch: [53][6100/10010] Time 0.318 (0.335) Data 0.000 (0.002) Loss 1.7166 (1.7664) Prec@1 60.156 (59.773) Prec@5 81.250 (81.382) Epoch: [53][6110/10010] Time 0.331 (0.335) Data 0.000 (0.002) Loss 1.7996 (1.7664) Prec@1 61.719 (59.773) Prec@5 81.250 (81.381) Epoch: [53][6120/10010] Time 0.331 (0.334) Data 0.001 (0.002) Loss 2.0836 (1.7664) Prec@1 55.469 (59.772) Prec@5 78.125 (81.380) /data/vision/torralba/deepscene/lib/anaconda2/lib/python2.7/site-packages/PIL/TiffImagePlugin.py:692: UserWarning: Possibly corrupt EXIF data. Expecting to read 1835008 bytes but only got 0. Skipping tag 0 "Skipping tag %s" % (size, len(data), tag)) Epoch: [53][6130/10010] Time 0.317 (0.334) Data 0.000 (0.002) Loss 1.9293 (1.7665) Prec@1 54.688 (59.772) Prec@5 78.906 (81.379) Epoch: [53][6140/10010] Time 0.317 (0.334) Data 0.001 (0.002) Loss 1.8566 (1.7665) Prec@1 59.375 (59.773) Prec@5 80.469 (81.378) Epoch: [53][6150/10010] Time 0.315 (0.334) Data 0.001 (0.002) Loss 1.8512 (1.7666) Prec@1 57.812 (59.769) Prec@5 80.469 (81.375) Epoch: [53][6160/10010] Time 0.320 (0.334) Data 0.001 (0.002) Loss 1.8252 (1.7667) Prec@1 62.500 (59.768) Prec@5 82.812 (81.376) Epoch: [53][6170/10010] Time 0.326 (0.334) Data 0.001 (0.002) Loss 1.9828 (1.7668) Prec@1 56.250 (59.765) Prec@5 78.906 (81.375) Epoch: [53][6180/10010] Time 0.327 (0.334) Data 0.001 (0.002) Loss 1.6588 (1.7668) Prec@1 62.500 (59.764) Prec@5 84.375 (81.374) Epoch: [53][6190/10010] Time 0.324 (0.334) Data 0.000 (0.002) Loss 1.7724 (1.7668) Prec@1 60.938 (59.763) Prec@5 79.688 (81.374) Epoch: [53][6200/10010] Time 0.339 (0.334) Data 0.001 (0.002) Loss 1.4780 (1.7669) Prec@1 62.500 (59.758) Prec@5 85.156 (81.376) Epoch: [53][6210/10010] Time 0.336 (0.334) Data 0.001 (0.002) Loss 1.6772 (1.7668) Prec@1 64.062 (59.761) Prec@5 83.594 (81.377) Epoch: [53][6220/10010] Time 0.329 (0.334) Data 0.001 (0.002) Loss 1.7540 (1.7670) Prec@1 60.938 (59.757) Prec@5 78.125 (81.376) Epoch: [53][6230/10010] Time 0.306 (0.334) Data 0.001 (0.002) Loss 1.6961 (1.7670) Prec@1 58.594 (59.754) Prec@5 80.469 (81.374) Epoch: [53][6240/10010] Time 0.323 (0.334) Data 0.000 (0.002) Loss 2.0173 (1.7672) Prec@1 57.812 (59.753) Prec@5 77.344 (81.370) Epoch: [53][6250/10010] Time 0.309 (0.334) Data 0.001 (0.002) Loss 1.6710 (1.7672) Prec@1 63.281 (59.753) Prec@5 82.031 (81.370) Epoch: [53][6260/10010] Time 0.318 (0.334) Data 0.000 (0.002) Loss 1.6901 (1.7672) Prec@1 63.281 (59.754) Prec@5 85.156 (81.371) Epoch: [53][6270/10010] Time 0.331 (0.334) Data 0.001 (0.002) Loss 1.7008 (1.7672) Prec@1 61.719 (59.755) Prec@5 83.594 (81.370) Epoch: [53][6280/10010] Time 0.335 (0.334) Data 0.001 (0.002) Loss 1.8107 (1.7673) Prec@1 61.719 (59.753) Prec@5 81.250 (81.369) Epoch: [53][6290/10010] Time 0.327 (0.334) Data 0.001 (0.002) Loss 1.8842 (1.7674) Prec@1 59.375 (59.750) Prec@5 78.125 (81.367) Epoch: [53][6300/10010] Time 0.336 (0.334) Data 0.001 (0.002) Loss 1.5300 (1.7675) Prec@1 66.406 (59.749) Prec@5 82.812 (81.364) Epoch: [53][6310/10010] Time 0.325 (0.334) Data 0.001 (0.002) Loss 2.0752 (1.7674) Prec@1 48.438 (59.749) Prec@5 79.688 (81.367) Epoch: [53][6320/10010] Time 0.333 (0.334) Data 0.001 (0.002) Loss 1.6570 (1.7673) Prec@1 61.719 (59.748) Prec@5 82.031 (81.367) Epoch: [53][6330/10010] Time 0.332 (0.334) Data 0.000 (0.002) Loss 2.1501 (1.7675) Prec@1 53.906 (59.746) Prec@5 75.781 (81.364) Epoch: [53][6340/10010] Time 0.325 (0.334) Data 0.001 (0.002) Loss 1.9154 (1.7677) Prec@1 57.812 (59.742) Prec@5 77.344 (81.361) Epoch: [53][6350/10010] Time 0.325 (0.334) Data 0.001 (0.002) Loss 1.4555 (1.7676) Prec@1 65.625 (59.742) Prec@5 85.938 (81.361) Epoch: [53][6360/10010] Time 0.322 (0.334) Data 0.001 (0.002) Loss 1.9540 (1.7677) Prec@1 56.250 (59.740) Prec@5 78.125 (81.359) Epoch: [53][6370/10010] Time 0.337 (0.334) Data 0.001 (0.002) Loss 1.7309 (1.7678) Prec@1 57.031 (59.739) Prec@5 81.250 (81.359) Epoch: [53][6380/10010] Time 0.317 (0.334) Data 0.001 (0.002) Loss 1.6393 (1.7677) Prec@1 67.188 (59.739) Prec@5 85.156 (81.359) Epoch: [53][6390/10010] Time 0.331 (0.334) Data 0.001 (0.002) Loss 1.7054 (1.7677) Prec@1 59.375 (59.737) Prec@5 82.031 (81.361) Epoch: [53][6400/10010] Time 0.343 (0.334) Data 0.000 (0.002) Loss 1.4969 (1.7677) Prec@1 59.375 (59.737) Prec@5 84.375 (81.362) Epoch: [53][6410/10010] Time 0.325 (0.334) Data 0.000 (0.002) Loss 1.7153 (1.7677) Prec@1 59.375 (59.738) Prec@5 81.250 (81.362) Epoch: [53][6420/10010] Time 0.326 (0.334) Data 0.001 (0.002) Loss 1.6904 (1.7678) Prec@1 59.375 (59.736) Prec@5 83.594 (81.361) Epoch: [53][6430/10010] Time 0.312 (0.334) Data 0.001 (0.002) Loss 1.5706 (1.7678) Prec@1 60.938 (59.735) Prec@5 81.250 (81.361) Epoch: [53][6440/10010] Time 0.318 (0.334) Data 0.001 (0.002) Loss 2.0983 (1.7680) Prec@1 52.344 (59.734) Prec@5 77.344 (81.358) Epoch: [53][6450/10010] Time 0.341 (0.334) Data 0.000 (0.002) Loss 1.8476 (1.7679) Prec@1 53.125 (59.733) Prec@5 78.125 (81.359) Epoch: [53][6460/10010] Time 0.332 (0.334) Data 0.000 (0.002) Loss 2.0313 (1.7680) Prec@1 58.594 (59.730) Prec@5 76.562 (81.358) Epoch: [53][6470/10010] Time 0.322 (0.334) Data 0.001 (0.002) Loss 1.7977 (1.7679) Prec@1 64.844 (59.731) Prec@5 83.594 (81.359) Epoch: [53][6480/10010] Time 0.312 (0.334) Data 0.001 (0.002) Loss 1.9736 (1.7679) Prec@1 54.688 (59.730) Prec@5 77.344 (81.360) Epoch: [53][6490/10010] Time 0.327 (0.334) Data 0.001 (0.002) Loss 1.4480 (1.7680) Prec@1 60.938 (59.729) Prec@5 89.062 (81.357) Epoch: [53][6500/10010] Time 0.315 (0.334) Data 0.001 (0.002) Loss 1.8267 (1.7682) Prec@1 57.812 (59.723) Prec@5 78.125 (81.355) Epoch: [53][6510/10010] Time 0.329 (0.334) Data 0.001 (0.002) Loss 1.6644 (1.7682) Prec@1 57.031 (59.725) Prec@5 84.375 (81.355) Epoch: [53][6520/10010] Time 0.316 (0.334) Data 0.001 (0.002) Loss 1.8189 (1.7681) Prec@1 61.719 (59.726) Prec@5 75.781 (81.356) Epoch: [53][6530/10010] Time 0.319 (0.334) Data 0.000 (0.002) Loss 1.7700 (1.7680) Prec@1 62.500 (59.729) Prec@5 84.375 (81.357) Epoch: [53][6540/10010] Time 0.338 (0.334) Data 0.001 (0.002) Loss 2.1650 (1.7680) Prec@1 53.906 (59.729) Prec@5 75.781 (81.356) Epoch: [53][6550/10010] Time 0.339 (0.334) Data 0.000 (0.002) Loss 1.9521 (1.7680) Prec@1 61.719 (59.729) Prec@5 75.000 (81.356) Epoch: [53][6560/10010] Time 0.335 (0.334) Data 0.000 (0.002) Loss 1.9894 (1.7680) Prec@1 53.125 (59.728) Prec@5 78.125 (81.356) Epoch: [53][6570/10010] Time 0.341 (0.334) Data 0.001 (0.002) Loss 1.6176 (1.7680) Prec@1 59.375 (59.727) Prec@5 82.812 (81.355) Epoch: [53][6580/10010] Time 0.324 (0.334) Data 0.001 (0.002) Loss 1.6906 (1.7681) Prec@1 59.375 (59.726) Prec@5 84.375 (81.355) Epoch: [53][6590/10010] Time 0.308 (0.334) Data 0.001 (0.002) Loss 1.7646 (1.7681) Prec@1 61.719 (59.727) Prec@5 80.469 (81.355) Epoch: [53][6600/10010] Time 0.326 (0.334) Data 0.001 (0.002) Loss 1.8665 (1.7681) Prec@1 59.375 (59.726) Prec@5 81.250 (81.354) Epoch: [53][6610/10010] Time 0.332 (0.334) Data 0.001 (0.002) Loss 1.7903 (1.7680) Prec@1 60.156 (59.727) Prec@5 78.906 (81.356) Epoch: [53][6620/10010] Time 0.329 (0.334) Data 0.000 (0.002) Loss 1.6194 (1.7681) Prec@1 62.500 (59.725) Prec@5 83.594 (81.355) Epoch: [53][6630/10010] Time 0.323 (0.334) Data 0.001 (0.002) Loss 1.6974 (1.7682) Prec@1 58.594 (59.724) Prec@5 82.031 (81.354) Epoch: [53][6640/10010] Time 0.321 (0.334) Data 0.001 (0.002) Loss 2.0634 (1.7682) Prec@1 54.688 (59.724) Prec@5 76.562 (81.353) Epoch: [53][6650/10010] Time 0.343 (0.334) Data 0.001 (0.002) Loss 1.7286 (1.7682) Prec@1 67.969 (59.725) Prec@5 82.031 (81.353) Epoch: [53][6660/10010] Time 0.336 (0.334) Data 0.001 (0.002) Loss 1.6251 (1.7682) Prec@1 62.500 (59.726) Prec@5 82.812 (81.353) Epoch: [53][6670/10010] Time 0.340 (0.334) Data 0.001 (0.002) Loss 2.0023 (1.7682) Prec@1 54.688 (59.725) Prec@5 76.562 (81.353) Epoch: [53][6680/10010] Time 0.318 (0.334) Data 0.001 (0.002) Loss 1.7309 (1.7682) Prec@1 59.375 (59.725) Prec@5 79.688 (81.353) Epoch: [53][6690/10010] Time 0.338 (0.334) Data 0.001 (0.002) Loss 2.0358 (1.7683) Prec@1 51.562 (59.722) Prec@5 79.688 (81.351) Epoch: [53][6700/10010] Time 0.321 (0.334) Data 0.000 (0.002) Loss 1.8071 (1.7682) Prec@1 60.156 (59.724) Prec@5 81.250 (81.351) Epoch: [53][6710/10010] Time 0.339 (0.334) Data 0.001 (0.002) Loss 1.9732 (1.7683) Prec@1 53.906 (59.724) Prec@5 78.125 (81.349) Epoch: [53][6720/10010] Time 0.322 (0.334) Data 0.000 (0.002) Loss 2.2438 (1.7685) Prec@1 54.688 (59.720) Prec@5 75.781 (81.348) Epoch: [53][6730/10010] Time 0.322 (0.334) Data 0.001 (0.002) Loss 1.9388 (1.7685) Prec@1 57.812 (59.719) Prec@5 78.125 (81.347) Epoch: [53][6740/10010] Time 0.336 (0.334) Data 0.001 (0.002) Loss 1.8853 (1.7685) Prec@1 59.375 (59.719) Prec@5 80.469 (81.347) Epoch: [53][6750/10010] Time 0.317 (0.334) Data 0.001 (0.002) Loss 2.0205 (1.7686) Prec@1 60.156 (59.719) Prec@5 78.906 (81.346) Epoch: [53][6760/10010] Time 0.337 (0.334) Data 0.000 (0.002) Loss 1.7801 (1.7687) Prec@1 64.844 (59.718) Prec@5 81.250 (81.346) Epoch: [53][6770/10010] Time 0.321 (0.334) Data 0.001 (0.002) Loss 1.9735 (1.7687) Prec@1 57.031 (59.717) Prec@5 80.469 (81.345) Epoch: [53][6780/10010] Time 0.319 (0.334) Data 0.001 (0.002) Loss 1.9259 (1.7691) Prec@1 54.688 (59.712) Prec@5 79.688 (81.339) Epoch: [53][6790/10010] Time 0.326 (0.334) Data 0.001 (0.001) Loss 2.0978 (1.7692) Prec@1 53.906 (59.709) Prec@5 77.344 (81.338) Epoch: [53][6800/10010] Time 0.318 (0.334) Data 0.000 (0.001) Loss 1.9111 (1.7693) Prec@1 60.156 (59.707) Prec@5 78.906 (81.337) Epoch: [53][6810/10010] Time 0.332 (0.334) Data 0.000 (0.001) Loss 1.8672 (1.7693) Prec@1 60.156 (59.708) Prec@5 79.688 (81.335) Epoch: [53][6820/10010] Time 0.319 (0.334) Data 0.001 (0.001) Loss 1.7988 (1.7694) Prec@1 54.688 (59.706) Prec@5 83.594 (81.334) Epoch: [53][6830/10010] Time 0.317 (0.334) Data 0.001 (0.001) Loss 2.0372 (1.7694) Prec@1 55.469 (59.704) Prec@5 73.438 (81.333) Epoch: [53][6840/10010] Time 0.322 (0.334) Data 0.001 (0.001) Loss 1.7271 (1.7696) Prec@1 63.281 (59.700) Prec@5 79.688 (81.330) Epoch: [53][6850/10010] Time 0.328 (0.334) Data 0.001 (0.001) Loss 1.7965 (1.7697) Prec@1 57.031 (59.699) Prec@5 80.469 (81.330) Epoch: [53][6860/10010] Time 0.330 (0.334) Data 0.001 (0.001) Loss 1.5291 (1.7697) Prec@1 60.156 (59.696) Prec@5 84.375 (81.330) Epoch: [53][6870/10010] Time 0.318 (0.333) Data 0.001 (0.001) Loss 1.7491 (1.7697) Prec@1 57.812 (59.695) Prec@5 79.688 (81.329) Epoch: [53][6880/10010] Time 0.331 (0.333) Data 0.001 (0.001) Loss 1.7081 (1.7697) Prec@1 57.812 (59.695) Prec@5 86.719 (81.330) Epoch: [53][6890/10010] Time 0.321 (0.333) Data 0.000 (0.001) Loss 1.6472 (1.7698) Prec@1 60.938 (59.691) Prec@5 84.375 (81.329) Epoch: [53][6900/10010] Time 0.342 (0.333) Data 0.000 (0.001) Loss 1.8224 (1.7697) Prec@1 58.594 (59.693) Prec@5 76.562 (81.330) Epoch: [53][6910/10010] Time 0.327 (0.333) Data 0.001 (0.001) Loss 1.6808 (1.7698) Prec@1 58.594 (59.689) Prec@5 85.156 (81.328) Epoch: [53][6920/10010] Time 0.332 (0.333) Data 0.001 (0.001) Loss 1.8687 (1.7699) Prec@1 57.031 (59.686) Prec@5 80.469 (81.327) Epoch: [53][6930/10010] Time 0.317 (0.333) Data 0.000 (0.001) Loss 1.5299 (1.7700) Prec@1 59.375 (59.686) Prec@5 85.938 (81.327) Epoch: [53][6940/10010] Time 0.329 (0.333) Data 0.001 (0.001) Loss 1.8905 (1.7699) Prec@1 54.688 (59.687) Prec@5 78.906 (81.328) Epoch: [53][6950/10010] Time 0.313 (0.333) Data 0.001 (0.001) Loss 1.9681 (1.7700) Prec@1 57.031 (59.687) Prec@5 75.781 (81.326) Epoch: [53][6960/10010] Time 0.323 (0.333) Data 0.001 (0.001) Loss 1.9084 (1.7699) Prec@1 59.375 (59.688) Prec@5 79.688 (81.326) Epoch: [53][6970/10010] Time 0.333 (0.333) Data 0.001 (0.001) Loss 1.9740 (1.7700) Prec@1 55.469 (59.684) Prec@5 78.906 (81.326) Epoch: [53][6980/10010] Time 0.321 (0.333) Data 0.001 (0.001) Loss 1.6058 (1.7700) Prec@1 56.250 (59.684) Prec@5 84.375 (81.326) Epoch: [53][6990/10010] Time 0.319 (0.333) Data 0.001 (0.001) Loss 1.8776 (1.7701) Prec@1 60.156 (59.682) Prec@5 78.125 (81.325) Epoch: [53][7000/10010] Time 0.316 (0.333) Data 0.001 (0.001) Loss 1.9604 (1.7702) Prec@1 60.156 (59.682) Prec@5 78.906 (81.323) Epoch: [53][7010/10010] Time 0.333 (0.333) Data 0.001 (0.001) Loss 1.9601 (1.7702) Prec@1 57.812 (59.681) Prec@5 77.344 (81.323) Epoch: [53][7020/10010] Time 0.331 (0.333) Data 0.000 (0.001) Loss 1.7429 (1.7699) Prec@1 63.281 (59.687) Prec@5 82.031 (81.326) Epoch: [53][7030/10010] Time 0.334 (0.333) Data 0.001 (0.001) Loss 1.9358 (1.7699) Prec@1 57.812 (59.690) Prec@5 78.125 (81.327) Epoch: [53][7040/10010] Time 0.320 (0.333) Data 0.001 (0.001) Loss 2.0603 (1.7698) Prec@1 54.688 (59.691) Prec@5 72.656 (81.327) Epoch: [53][7050/10010] Time 0.319 (0.333) Data 0.001 (0.001) Loss 1.7464 (1.7698) Prec@1 61.719 (59.692) Prec@5 83.594 (81.328) Epoch: [53][7060/10010] Time 0.335 (0.333) Data 0.001 (0.001) Loss 1.8284 (1.7698) Prec@1 59.375 (59.689) Prec@5 81.250 (81.328) Epoch: [53][7070/10010] Time 0.313 (0.333) Data 0.001 (0.001) Loss 1.9967 (1.7700) Prec@1 57.031 (59.687) Prec@5 82.031 (81.327) Epoch: [53][7080/10010] Time 0.313 (0.333) Data 0.001 (0.001) Loss 1.8349 (1.7699) Prec@1 60.156 (59.688) Prec@5 80.469 (81.329) Epoch: [53][7090/10010] Time 0.322 (0.333) Data 0.000 (0.001) Loss 1.9164 (1.7700) Prec@1 52.344 (59.684) Prec@5 81.250 (81.328) Epoch: [53][7100/10010] Time 0.332 (0.333) Data 0.001 (0.001) Loss 1.7602 (1.7698) Prec@1 60.156 (59.687) Prec@5 82.812 (81.332) Epoch: [53][7110/10010] Time 0.324 (0.333) Data 0.001 (0.001) Loss 1.8516 (1.7699) Prec@1 56.250 (59.685) Prec@5 82.031 (81.332) Epoch: [53][7120/10010] Time 0.338 (0.333) Data 0.000 (0.001) Loss 1.7313 (1.7699) Prec@1 63.281 (59.685) Prec@5 85.156 (81.332) Epoch: [53][7130/10010] Time 0.323 (0.333) Data 0.001 (0.001) Loss 2.1770 (1.7699) Prec@1 51.562 (59.685) Prec@5 79.688 (81.333) Epoch: [53][7140/10010] Time 0.337 (0.333) Data 0.001 (0.001) Loss 1.8247 (1.7699) Prec@1 55.469 (59.685) Prec@5 79.688 (81.334) Epoch: [53][7150/10010] Time 0.339 (0.333) Data 0.000 (0.001) Loss 1.5320 (1.7699) Prec@1 58.594 (59.688) Prec@5 84.375 (81.334) Epoch: [53][7160/10010] Time 0.339 (0.333) Data 0.001 (0.001) Loss 1.8799 (1.7699) Prec@1 57.031 (59.689) Prec@5 78.906 (81.333) Epoch: [53][7170/10010] Time 0.316 (0.333) Data 0.001 (0.001) Loss 1.6346 (1.7699) Prec@1 62.500 (59.689) Prec@5 84.375 (81.333) Epoch: [53][7180/10010] Time 0.325 (0.333) Data 0.000 (0.001) Loss 1.4499 (1.7699) Prec@1 66.406 (59.691) Prec@5 88.281 (81.333) Epoch: [53][7190/10010] Time 0.341 (0.333) Data 0.000 (0.001) Loss 1.7420 (1.7698) Prec@1 60.156 (59.693) Prec@5 84.375 (81.334) Epoch: [53][7200/10010] Time 0.338 (0.333) Data 0.001 (0.001) Loss 1.7681 (1.7698) Prec@1 57.031 (59.693) Prec@5 80.469 (81.335) Epoch: [53][7210/10010] Time 0.329 (0.333) Data 0.001 (0.001) Loss 1.5399 (1.7698) Prec@1 69.531 (59.693) Prec@5 82.812 (81.334) Epoch: [53][7220/10010] Time 0.318 (0.333) Data 0.001 (0.001) Loss 2.0133 (1.7698) Prec@1 57.031 (59.693) Prec@5 75.781 (81.333) Epoch: [53][7230/10010] Time 0.319 (0.333) Data 0.001 (0.001) Loss 1.7946 (1.7697) Prec@1 61.719 (59.694) Prec@5 80.469 (81.335) Epoch: [53][7240/10010] Time 0.320 (0.333) Data 0.001 (0.001) Loss 1.6530 (1.7697) Prec@1 57.031 (59.693) Prec@5 81.250 (81.334) Epoch: [53][7250/10010] Time 0.333 (0.333) Data 0.001 (0.001) Loss 1.5617 (1.7695) Prec@1 64.062 (59.697) Prec@5 82.812 (81.336) Epoch: [53][7260/10010] Time 0.332 (0.333) Data 0.001 (0.001) Loss 1.8283 (1.7696) Prec@1 53.125 (59.696) Prec@5 81.250 (81.336) Epoch: [53][7270/10010] Time 0.317 (0.333) Data 0.001 (0.001) Loss 2.0056 (1.7697) Prec@1 58.594 (59.695) Prec@5 78.125 (81.335) Epoch: [53][7280/10010] Time 0.334 (0.333) Data 0.001 (0.001) Loss 2.2871 (1.7698) Prec@1 48.438 (59.691) Prec@5 73.438 (81.332) Epoch: [53][7290/10010] Time 0.340 (0.333) Data 0.001 (0.001) Loss 1.8645 (1.7699) Prec@1 56.250 (59.688) Prec@5 80.469 (81.333) Epoch: [53][7300/10010] Time 0.315 (0.333) Data 0.001 (0.001) Loss 1.6109 (1.7699) Prec@1 53.906 (59.688) Prec@5 86.719 (81.334) Epoch: [53][7310/10010] Time 0.321 (0.333) Data 0.001 (0.001) Loss 1.5762 (1.7699) Prec@1 57.031 (59.686) Prec@5 85.156 (81.335) Epoch: [53][7320/10010] Time 0.322 (0.333) Data 0.001 (0.001) Loss 1.8318 (1.7700) Prec@1 60.156 (59.684) Prec@5 78.125 (81.333) Epoch: [53][7330/10010] Time 0.311 (0.333) Data 0.001 (0.001) Loss 1.9338 (1.7701) Prec@1 57.031 (59.682) Prec@5 81.250 (81.333) Epoch: [53][7340/10010] Time 0.321 (0.333) Data 0.001 (0.001) Loss 1.6923 (1.7701) Prec@1 60.156 (59.683) Prec@5 81.250 (81.332) Epoch: [53][7350/10010] Time 0.334 (0.333) Data 0.001 (0.001) Loss 1.5464 (1.7700) Prec@1 63.281 (59.684) Prec@5 83.594 (81.333) Epoch: [53][7360/10010] Time 0.317 (0.333) Data 0.001 (0.001) Loss 1.7738 (1.7701) Prec@1 57.812 (59.680) Prec@5 82.812 (81.330) Epoch: [53][7370/10010] Time 0.339 (0.333) Data 0.001 (0.001) Loss 1.6893 (1.7702) Prec@1 60.938 (59.680) Prec@5 81.250 (81.328) Epoch: [53][7380/10010] Time 0.334 (0.333) Data 0.001 (0.001) Loss 1.7364 (1.7704) Prec@1 62.500 (59.678) Prec@5 82.812 (81.326) /data/vision/torralba/deepscene/lib/anaconda2/lib/python2.7/site-packages/PIL/TiffImagePlugin.py:692: UserWarning: Possibly corrupt EXIF data. Expecting to read 19660800 bytes but only got 0. Skipping tag 0 "Skipping tag %s" % (size, len(data), tag)) /data/vision/torralba/deepscene/lib/anaconda2/lib/python2.7/site-packages/PIL/TiffImagePlugin.py:692: UserWarning: Possibly corrupt EXIF data. Expecting to read 18481152 bytes but only got 0. Skipping tag 0 "Skipping tag %s" % (size, len(data), tag)) /data/vision/torralba/deepscene/lib/anaconda2/lib/python2.7/site-packages/PIL/TiffImagePlugin.py:692: UserWarning: Possibly corrupt EXIF data. Expecting to read 37093376 bytes but only got 0. Skipping tag 0 "Skipping tag %s" % (size, len(data), tag)) /data/vision/torralba/deepscene/lib/anaconda2/lib/python2.7/site-packages/PIL/TiffImagePlugin.py:692: UserWarning: Possibly corrupt EXIF data. Expecting to read 39976960 bytes but only got 0. Skipping tag 0 "Skipping tag %s" % (size, len(data), tag)) /data/vision/torralba/deepscene/lib/anaconda2/lib/python2.7/site-packages/PIL/TiffImagePlugin.py:692: UserWarning: Possibly corrupt EXIF data. Expecting to read 34865152 bytes but only got 0. Skipping tag 0 "Skipping tag %s" % (size, len(data), tag)) /data/vision/torralba/deepscene/lib/anaconda2/lib/python2.7/site-packages/PIL/TiffImagePlugin.py:709: UserWarning: Corrupt EXIF data. Expecting to read 12 bytes but only got 10. warnings.warn(str(msg)) Epoch: [53][7390/10010] Time 0.336 (0.333) Data 0.001 (0.001) Loss 2.2078 (1.7704) Prec@1 54.688 (59.678) Prec@5 73.438 (81.325) Epoch: [53][7400/10010] Time 0.319 (0.333) Data 0.001 (0.001) Loss 1.7942 (1.7703) Prec@1 62.500 (59.680) Prec@5 81.250 (81.325) Epoch: [53][7410/10010] Time 0.312 (0.333) Data 0.001 (0.001) Loss 1.6470 (1.7703) Prec@1 62.500 (59.679) Prec@5 78.906 (81.325) Epoch: [53][7420/10010] Time 0.337 (0.333) Data 0.001 (0.001) Loss 1.8889 (1.7705) Prec@1 52.344 (59.675) Prec@5 80.469 (81.321) Epoch: [53][7430/10010] Time 0.324 (0.333) Data 0.001 (0.001) Loss 2.3031 (1.7706) Prec@1 55.469 (59.676) Prec@5 71.094 (81.321) Epoch: [53][7440/10010] Time 0.321 (0.333) Data 0.001 (0.001) Loss 1.5148 (1.7704) Prec@1 66.406 (59.676) Prec@5 85.938 (81.325) Epoch: [53][7450/10010] Time 0.316 (0.333) Data 0.001 (0.001) Loss 1.4685 (1.7703) Prec@1 68.750 (59.676) Prec@5 85.156 (81.324) Epoch: [53][7460/10010] Time 0.328 (0.333) Data 0.001 (0.001) Loss 1.4922 (1.7704) Prec@1 69.531 (59.678) Prec@5 84.375 (81.324) Epoch: [53][7470/10010] Time 0.330 (0.333) Data 0.001 (0.001) Loss 1.7898 (1.7704) Prec@1 62.500 (59.677) Prec@5 81.250 (81.324) Epoch: [53][7480/10010] Time 0.325 (0.333) Data 0.001 (0.001) Loss 1.7759 (1.7704) Prec@1 58.594 (59.676) Prec@5 80.469 (81.324) Epoch: [53][7490/10010] Time 0.328 (0.333) Data 0.001 (0.001) Loss 1.9835 (1.7705) Prec@1 52.344 (59.672) Prec@5 80.469 (81.324) Epoch: [53][7500/10010] Time 0.338 (0.333) Data 0.001 (0.001) Loss 1.8892 (1.7706) Prec@1 51.562 (59.673) Prec@5 82.031 (81.323) Epoch: [53][7510/10010] Time 0.327 (0.333) Data 0.001 (0.001) Loss 1.5623 (1.7705) Prec@1 65.625 (59.673) Prec@5 84.375 (81.324) Epoch: [53][7520/10010] Time 0.318 (0.333) Data 0.000 (0.001) Loss 1.9464 (1.7705) Prec@1 61.719 (59.674) Prec@5 80.469 (81.323) Epoch: [53][7530/10010] Time 0.339 (0.333) Data 0.000 (0.001) Loss 2.2058 (1.7707) Prec@1 53.906 (59.672) Prec@5 74.219 (81.319) Epoch: [53][7540/10010] Time 0.337 (0.333) Data 0.001 (0.001) Loss 1.6262 (1.7707) Prec@1 59.375 (59.670) Prec@5 81.250 (81.316) Epoch: [53][7550/10010] Time 0.337 (0.333) Data 0.001 (0.001) Loss 2.2142 (1.7708) Prec@1 51.562 (59.670) Prec@5 71.094 (81.315) Epoch: [53][7560/10010] Time 0.338 (0.333) Data 0.001 (0.001) Loss 1.7918 (1.7708) Prec@1 63.281 (59.669) Prec@5 81.250 (81.315) Epoch: [53][7570/10010] Time 0.321 (0.333) Data 0.000 (0.001) Loss 1.5452 (1.7707) Prec@1 63.281 (59.668) Prec@5 80.469 (81.314) Epoch: [53][7580/10010] Time 0.324 (0.333) Data 0.001 (0.001) Loss 1.5291 (1.7708) Prec@1 64.062 (59.668) Prec@5 85.156 (81.313) Epoch: [53][7590/10010] Time 0.326 (0.333) Data 0.001 (0.001) Loss 1.5143 (1.7706) Prec@1 65.625 (59.670) Prec@5 82.812 (81.314) Epoch: [53][7600/10010] Time 0.320 (0.333) Data 0.001 (0.001) Loss 1.9120 (1.7708) Prec@1 53.906 (59.666) Prec@5 77.344 (81.312) Epoch: [53][7610/10010] Time 0.314 (0.333) Data 0.001 (0.001) Loss 1.3143 (1.7706) Prec@1 73.438 (59.668) Prec@5 89.844 (81.315) Epoch: [53][7620/10010] Time 0.328 (0.333) Data 0.001 (0.001) Loss 1.6476 (1.7706) Prec@1 59.375 (59.669) Prec@5 81.250 (81.315) Epoch: [53][7630/10010] Time 0.322 (0.333) Data 0.001 (0.001) Loss 1.4097 (1.7705) Prec@1 67.969 (59.671) Prec@5 84.375 (81.315) Epoch: [53][7640/10010] Time 0.314 (0.333) Data 0.001 (0.001) Loss 1.5676 (1.7704) Prec@1 62.500 (59.673) Prec@5 82.812 (81.317) Epoch: [53][7650/10010] Time 0.322 (0.333) Data 0.000 (0.001) Loss 1.9571 (1.7705) Prec@1 53.125 (59.673) Prec@5 82.031 (81.317) Epoch: [53][7660/10010] Time 0.321 (0.333) Data 0.001 (0.001) Loss 1.7826 (1.7704) Prec@1 59.375 (59.674) Prec@5 83.594 (81.319) Epoch: [53][7670/10010] Time 0.332 (0.333) Data 0.001 (0.001) Loss 1.2515 (1.7702) Prec@1 71.875 (59.679) Prec@5 89.062 (81.321) Epoch: [53][7680/10010] Time 0.316 (0.333) Data 0.003 (0.001) Loss 1.7163 (1.7701) Prec@1 63.281 (59.682) Prec@5 82.031 (81.325) Epoch: [53][7690/10010] Time 0.342 (0.333) Data 0.001 (0.001) Loss 1.9466 (1.7701) Prec@1 59.375 (59.682) Prec@5 76.562 (81.326) Epoch: [53][7700/10010] Time 0.323 (0.333) Data 0.000 (0.001) Loss 1.6871 (1.7700) Prec@1 65.625 (59.682) Prec@5 82.812 (81.327) Epoch: [53][7710/10010] Time 0.321 (0.333) Data 0.001 (0.001) Loss 1.4690 (1.7700) Prec@1 65.625 (59.680) Prec@5 84.375 (81.325) Epoch: [53][7720/10010] Time 0.320 (0.333) Data 0.001 (0.001) Loss 1.9294 (1.7700) Prec@1 60.156 (59.683) Prec@5 76.562 (81.326) Epoch: [53][7730/10010] Time 0.319 (0.333) Data 0.001 (0.001) Loss 2.0044 (1.7699) Prec@1 53.125 (59.683) Prec@5 79.688 (81.328) Epoch: [53][7740/10010] Time 0.327 (0.333) Data 0.001 (0.001) Loss 1.7183 (1.7699) Prec@1 57.031 (59.683) Prec@5 82.812 (81.327) Epoch: [53][7750/10010] Time 0.318 (0.333) Data 0.001 (0.001) Loss 1.6828 (1.7700) Prec@1 59.375 (59.682) Prec@5 82.031 (81.325) Epoch: [53][7760/10010] Time 0.341 (0.333) Data 0.000 (0.001) Loss 2.0402 (1.7699) Prec@1 56.250 (59.682) Prec@5 75.781 (81.325) Epoch: [53][7770/10010] Time 0.335 (0.333) Data 0.000 (0.001) Loss 1.7795 (1.7699) Prec@1 58.594 (59.683) Prec@5 81.250 (81.325) Epoch: [53][7780/10010] Time 0.327 (0.333) Data 0.001 (0.001) Loss 1.2042 (1.7699) Prec@1 74.219 (59.685) Prec@5 92.188 (81.324) Epoch: [53][7790/10010] Time 0.322 (0.333) Data 0.001 (0.001) Loss 1.6092 (1.7698) Prec@1 64.062 (59.686) Prec@5 85.938 (81.325) Epoch: [53][7800/10010] Time 0.333 (0.333) Data 0.001 (0.001) Loss 1.8186 (1.7699) Prec@1 57.031 (59.684) Prec@5 81.250 (81.324) Epoch: [53][7810/10010] Time 0.323 (0.333) Data 0.001 (0.001) Loss 1.7730 (1.7698) Prec@1 56.250 (59.684) Prec@5 82.031 (81.326) Epoch: [53][7820/10010] Time 0.331 (0.333) Data 0.001 (0.001) Loss 1.7223 (1.7698) Prec@1 59.375 (59.684) Prec@5 86.719 (81.327) Epoch: [53][7830/10010] Time 0.310 (0.333) Data 0.001 (0.001) Loss 1.8518 (1.7698) Prec@1 57.031 (59.683) Prec@5 78.906 (81.327) Epoch: [53][7840/10010] Time 0.318 (0.333) Data 0.001 (0.001) Loss 1.6863 (1.7699) Prec@1 60.938 (59.679) Prec@5 81.250 (81.326) Epoch: [53][7850/10010] Time 0.315 (0.333) Data 0.001 (0.001) Loss 2.1482 (1.7699) Prec@1 56.250 (59.679) Prec@5 75.781 (81.325) Epoch: [53][7860/10010] Time 0.332 (0.333) Data 0.001 (0.001) Loss 2.1015 (1.7699) Prec@1 53.906 (59.680) Prec@5 71.875 (81.325) Epoch: [53][7870/10010] Time 0.334 (0.333) Data 0.001 (0.001) Loss 1.7601 (1.7700) Prec@1 60.938 (59.677) Prec@5 84.375 (81.324) Epoch: [53][7880/10010] Time 0.321 (0.333) Data 0.000 (0.001) Loss 1.7252 (1.7700) Prec@1 61.719 (59.677) Prec@5 79.688 (81.323) Epoch: [53][7890/10010] Time 0.335 (0.333) Data 0.001 (0.001) Loss 1.8027 (1.7701) Prec@1 57.031 (59.675) Prec@5 82.812 (81.321) Epoch: [53][7900/10010] Time 0.332 (0.333) Data 0.001 (0.001) Loss 1.7563 (1.7703) Prec@1 61.719 (59.675) Prec@5 83.594 (81.319) Epoch: [53][7910/10010] Time 0.335 (0.333) Data 0.000 (0.001) Loss 1.5064 (1.7702) Prec@1 62.500 (59.675) Prec@5 88.281 (81.319) Epoch: [53][7920/10010] Time 0.340 (0.333) Data 0.001 (0.001) Loss 1.6395 (1.7703) Prec@1 61.719 (59.674) Prec@5 81.250 (81.318) Epoch: [53][7930/10010] Time 0.316 (0.333) Data 0.001 (0.001) Loss 1.6683 (1.7703) Prec@1 64.062 (59.675) Prec@5 83.594 (81.318) Epoch: [53][7940/10010] Time 0.319 (0.333) Data 0.000 (0.001) Loss 1.7877 (1.7703) Prec@1 56.250 (59.673) Prec@5 78.125 (81.317) Epoch: [53][7950/10010] Time 0.316 (0.333) Data 0.001 (0.001) Loss 1.7765 (1.7703) Prec@1 62.500 (59.672) Prec@5 79.688 (81.316) Epoch: [53][7960/10010] Time 0.325 (0.332) Data 0.001 (0.001) Loss 2.0157 (1.7702) Prec@1 57.031 (59.673) Prec@5 78.906 (81.317) Epoch: [53][7970/10010] Time 0.318 (0.332) Data 0.001 (0.001) Loss 1.6351 (1.7703) Prec@1 60.156 (59.673) Prec@5 79.688 (81.316) Epoch: [53][7980/10010] Time 0.336 (0.332) Data 0.001 (0.001) Loss 1.8837 (1.7702) Prec@1 55.469 (59.675) Prec@5 76.562 (81.315) Epoch: [53][7990/10010] Time 0.323 (0.332) Data 0.001 (0.001) Loss 1.7737 (1.7702) Prec@1 55.469 (59.674) Prec@5 80.469 (81.315) Epoch: [53][8000/10010] Time 0.328 (0.332) Data 0.000 (0.001) Loss 1.6635 (1.7702) Prec@1 65.625 (59.673) Prec@5 85.938 (81.314) Epoch: [53][8010/10010] Time 0.335 (0.332) Data 0.001 (0.001) Loss 1.7861 (1.7703) Prec@1 56.250 (59.672) Prec@5 82.812 (81.313) Epoch: [53][8020/10010] Time 0.319 (0.332) Data 0.000 (0.001) Loss 1.4922 (1.7702) Prec@1 62.500 (59.675) Prec@5 86.719 (81.315) Epoch: [53][8030/10010] Time 0.327 (0.332) Data 0.000 (0.001) Loss 1.6227 (1.7703) Prec@1 61.719 (59.673) Prec@5 81.250 (81.313) Epoch: [53][8040/10010] Time 0.337 (0.332) Data 0.001 (0.001) Loss 1.5296 (1.7702) Prec@1 66.406 (59.675) Prec@5 85.156 (81.314) Epoch: [53][8050/10010] Time 0.321 (0.332) Data 0.001 (0.001) Loss 1.7040 (1.7703) Prec@1 64.844 (59.676) Prec@5 79.688 (81.313) Epoch: [53][8060/10010] Time 0.315 (0.332) Data 0.000 (0.001) Loss 1.9510 (1.7702) Prec@1 60.156 (59.677) Prec@5 76.562 (81.313) Epoch: [53][8070/10010] Time 0.321 (0.333) Data 0.001 (0.001) Loss 1.6007 (1.7703) Prec@1 63.281 (59.678) Prec@5 82.812 (81.313) Epoch: [53][8080/10010] Time 0.317 (0.333) Data 0.001 (0.001) Loss 1.8802 (1.7703) Prec@1 57.812 (59.675) Prec@5 81.250 (81.312) Epoch: [53][8090/10010] Time 0.338 (0.333) Data 0.001 (0.001) Loss 1.7540 (1.7702) Prec@1 60.938 (59.677) Prec@5 82.812 (81.313) Epoch: [53][8100/10010] Time 0.313 (0.333) Data 0.001 (0.001) Loss 1.5272 (1.7702) Prec@1 63.281 (59.678) Prec@5 85.938 (81.314) Epoch: [53][8110/10010] Time 0.316 (0.333) Data 0.001 (0.001) Loss 1.6023 (1.7701) Prec@1 63.281 (59.678) Prec@5 85.156 (81.313) Epoch: [53][8120/10010] Time 0.318 (0.333) Data 0.000 (0.001) Loss 1.4441 (1.7701) Prec@1 61.719 (59.677) Prec@5 83.594 (81.314) Epoch: [53][8130/10010] Time 0.323 (0.333) Data 0.001 (0.001) Loss 1.7100 (1.7700) Prec@1 62.500 (59.677) Prec@5 79.688 (81.315) Epoch: [53][8140/10010] Time 0.320 (0.333) Data 0.000 (0.001) Loss 2.0243 (1.7701) Prec@1 55.469 (59.676) Prec@5 76.562 (81.313) Epoch: [53][8150/10010] Time 0.331 (0.333) Data 0.001 (0.001) Loss 2.0036 (1.7702) Prec@1 55.469 (59.675) Prec@5 81.250 (81.311) Epoch: [53][8160/10010] Time 0.337 (0.333) Data 0.001 (0.001) Loss 1.3967 (1.7702) Prec@1 64.844 (59.673) Prec@5 89.062 (81.309) Epoch: [53][8170/10010] Time 0.334 (0.333) Data 0.001 (0.001) Loss 1.9530 (1.7702) Prec@1 60.156 (59.673) Prec@5 79.688 (81.307) Epoch: [53][8180/10010] Time 0.319 (0.333) Data 0.001 (0.001) Loss 1.6115 (1.7702) Prec@1 64.062 (59.674) Prec@5 83.594 (81.309) Epoch: [53][8190/10010] Time 0.336 (0.333) Data 0.001 (0.001) Loss 1.7975 (1.7700) Prec@1 54.688 (59.676) Prec@5 79.688 (81.310) Epoch: [53][8200/10010] Time 0.322 (0.333) Data 0.001 (0.001) Loss 1.8538 (1.7701) Prec@1 57.812 (59.675) Prec@5 78.906 (81.310) Epoch: [53][8210/10010] Time 0.335 (0.333) Data 0.001 (0.001) Loss 1.4767 (1.7700) Prec@1 60.938 (59.678) Prec@5 84.375 (81.311) Epoch: [53][8220/10010] Time 0.327 (0.333) Data 0.001 (0.001) Loss 1.6832 (1.7701) Prec@1 57.812 (59.676) Prec@5 85.156 (81.311) Epoch: [53][8230/10010] Time 0.332 (0.333) Data 0.001 (0.001) Loss 1.9406 (1.7701) Prec@1 57.812 (59.676) Prec@5 75.781 (81.310) Epoch: [53][8240/10010] Time 0.322 (0.333) Data 0.000 (0.001) Loss 1.6135 (1.7701) Prec@1 59.375 (59.676) Prec@5 85.156 (81.311) Epoch: [53][8250/10010] Time 0.319 (0.333) Data 0.001 (0.001) Loss 2.0125 (1.7701) Prec@1 53.906 (59.676) Prec@5 75.000 (81.311) Epoch: [53][8260/10010] Time 0.340 (0.333) Data 0.001 (0.001) Loss 1.8397 (1.7701) Prec@1 57.812 (59.677) Prec@5 81.250 (81.310) Epoch: [53][8270/10010] Time 0.335 (0.333) Data 0.001 (0.001) Loss 1.6693 (1.7701) Prec@1 60.938 (59.678) Prec@5 82.812 (81.311) Epoch: [53][8280/10010] Time 0.313 (0.333) Data 0.001 (0.001) Loss 1.3954 (1.7702) Prec@1 67.969 (59.676) Prec@5 85.156 (81.308) Epoch: [53][8290/10010] Time 0.339 (0.333) Data 0.001 (0.001) Loss 1.6872 (1.7702) Prec@1 61.719 (59.675) Prec@5 83.594 (81.308) Epoch: [53][8300/10010] Time 0.335 (0.333) Data 0.001 (0.001) Loss 2.0138 (1.7702) Prec@1 53.906 (59.676) Prec@5 78.125 (81.307) Epoch: [53][8310/10010] Time 0.316 (0.333) Data 0.000 (0.001) Loss 1.3829 (1.7701) Prec@1 68.750 (59.679) Prec@5 87.500 (81.307) Epoch: [53][8320/10010] Time 0.341 (0.333) Data 0.000 (0.001) Loss 1.8404 (1.7701) Prec@1 63.281 (59.680) Prec@5 80.469 (81.307) Epoch: [53][8330/10010] Time 0.331 (0.333) Data 0.001 (0.001) Loss 1.5735 (1.7703) Prec@1 60.156 (59.678) Prec@5 85.938 (81.305) Epoch: [53][8340/10010] Time 0.311 (0.333) Data 0.001 (0.001) Loss 1.6044 (1.7703) Prec@1 58.594 (59.675) Prec@5 85.156 (81.305) Epoch: [53][8350/10010] Time 0.317 (0.333) Data 0.001 (0.001) Loss 2.0106 (1.7702) Prec@1 55.469 (59.677) Prec@5 80.469 (81.307) Epoch: [53][8360/10010] Time 0.337 (0.333) Data 0.000 (0.001) Loss 1.5322 (1.7701) Prec@1 64.844 (59.680) Prec@5 85.156 (81.308) Epoch: [53][8370/10010] Time 0.321 (0.333) Data 0.001 (0.001) Loss 1.7712 (1.7701) Prec@1 57.812 (59.682) Prec@5 77.344 (81.308) Epoch: [53][8380/10010] Time 0.335 (0.333) Data 0.001 (0.001) Loss 1.7640 (1.7701) Prec@1 54.688 (59.680) Prec@5 80.469 (81.308) Epoch: [53][8390/10010] Time 0.318 (0.333) Data 0.000 (0.001) Loss 1.5664 (1.7701) Prec@1 66.406 (59.680) Prec@5 82.812 (81.307) Epoch: [53][8400/10010] Time 0.326 (0.333) Data 0.001 (0.001) Loss 1.5758 (1.7702) Prec@1 62.500 (59.677) Prec@5 86.719 (81.305) Epoch: [53][8410/10010] Time 0.321 (0.333) Data 0.000 (0.001) Loss 1.9419 (1.7701) Prec@1 57.031 (59.680) Prec@5 78.125 (81.305) Epoch: [53][8420/10010] Time 0.319 (0.333) Data 0.001 (0.001) Loss 1.6391 (1.7701) Prec@1 63.281 (59.680) Prec@5 84.375 (81.305) Epoch: [53][8430/10010] Time 0.337 (0.333) Data 0.000 (0.001) Loss 1.8829 (1.7701) Prec@1 59.375 (59.680) Prec@5 75.000 (81.305) Epoch: [53][8440/10010] Time 0.342 (0.333) Data 0.000 (0.001) Loss 1.7185 (1.7701) Prec@1 58.594 (59.681) Prec@5 82.812 (81.306) Epoch: [53][8450/10010] Time 0.328 (0.333) Data 0.001 (0.001) Loss 1.8796 (1.7700) Prec@1 57.812 (59.684) Prec@5 79.688 (81.308) Epoch: [53][8460/10010] Time 0.333 (0.333) Data 0.001 (0.001) Loss 1.6000 (1.7700) Prec@1 63.281 (59.684) Prec@5 83.594 (81.307) Epoch: [53][8470/10010] Time 0.329 (0.333) Data 0.001 (0.001) Loss 2.1379 (1.7701) Prec@1 58.594 (59.684) Prec@5 74.219 (81.305) Epoch: [53][8480/10010] Time 0.320 (0.333) Data 0.000 (0.001) Loss 1.5759 (1.7700) Prec@1 63.281 (59.683) Prec@5 77.344 (81.305) Epoch: [53][8490/10010] Time 0.317 (0.333) Data 0.001 (0.001) Loss 1.4593 (1.7701) Prec@1 64.844 (59.683) Prec@5 88.281 (81.305) Epoch: [53][8500/10010] Time 0.338 (0.333) Data 0.001 (0.001) Loss 1.6611 (1.7700) Prec@1 63.281 (59.684) Prec@5 82.812 (81.307) Epoch: [53][8510/10010] Time 0.320 (0.333) Data 0.003 (0.001) Loss 1.9179 (1.7701) Prec@1 57.812 (59.683) Prec@5 77.344 (81.308) Epoch: [53][8520/10010] Time 0.329 (0.333) Data 0.001 (0.001) Loss 1.4645 (1.7700) Prec@1 64.062 (59.684) Prec@5 86.719 (81.307) Epoch: [53][8530/10010] Time 0.318 (0.333) Data 0.001 (0.001) Loss 1.8798 (1.7700) Prec@1 53.125 (59.682) Prec@5 78.906 (81.308) Epoch: [53][8540/10010] Time 0.333 (0.333) Data 0.001 (0.001) Loss 2.1219 (1.7702) Prec@1 58.594 (59.679) Prec@5 76.562 (81.305) Epoch: [53][8550/10010] Time 0.323 (0.333) Data 0.000 (0.001) Loss 1.6274 (1.7703) Prec@1 62.500 (59.677) Prec@5 84.375 (81.303) Epoch: [53][8560/10010] Time 0.335 (0.333) Data 0.001 (0.001) Loss 1.4813 (1.7703) Prec@1 64.062 (59.677) Prec@5 85.938 (81.303) Epoch: [53][8570/10010] Time 0.324 (0.333) Data 0.001 (0.001) Loss 1.8622 (1.7704) Prec@1 57.812 (59.675) Prec@5 81.250 (81.302) Epoch: [53][8580/10010] Time 0.335 (0.333) Data 0.001 (0.001) Loss 1.7560 (1.7703) Prec@1 62.500 (59.675) Prec@5 80.469 (81.304) Epoch: [53][8590/10010] Time 0.336 (0.333) Data 0.001 (0.001) Loss 1.7401 (1.7703) Prec@1 63.281 (59.673) Prec@5 77.344 (81.302) Epoch: [53][8600/10010] Time 0.318 (0.333) Data 0.001 (0.001) Loss 1.5257 (1.7702) Prec@1 65.625 (59.676) Prec@5 87.500 (81.305) Epoch: [53][8610/10010] Time 0.338 (0.333) Data 0.001 (0.001) Loss 1.9287 (1.7702) Prec@1 53.906 (59.675) Prec@5 79.688 (81.305) Epoch: [53][8620/10010] Time 0.340 (0.333) Data 0.001 (0.001) Loss 1.8210 (1.7702) Prec@1 60.938 (59.672) Prec@5 78.125 (81.305) Epoch: [53][8630/10010] Time 0.327 (0.333) Data 0.001 (0.001) Loss 2.0201 (1.7703) Prec@1 53.125 (59.671) Prec@5 79.688 (81.304) Epoch: [53][8640/10010] Time 0.318 (0.333) Data 0.001 (0.001) Loss 1.8456 (1.7702) Prec@1 55.469 (59.670) Prec@5 80.469 (81.305) Epoch: [53][8650/10010] Time 0.325 (0.333) Data 0.000 (0.001) Loss 1.7825 (1.7703) Prec@1 59.375 (59.669) Prec@5 82.812 (81.304) Epoch: [53][8660/10010] Time 0.341 (0.333) Data 0.001 (0.001) Loss 1.8848 (1.7705) Prec@1 55.469 (59.665) Prec@5 78.906 (81.301) Epoch: [53][8670/10010] Time 0.328 (0.333) Data 0.001 (0.001) Loss 1.8391 (1.7704) Prec@1 56.250 (59.667) Prec@5 82.031 (81.303) Epoch: [53][8680/10010] Time 0.317 (0.333) Data 0.001 (0.001) Loss 2.0008 (1.7704) Prec@1 52.344 (59.665) Prec@5 79.688 (81.303) Epoch: [53][8690/10010] Time 0.331 (0.333) Data 0.000 (0.001) Loss 1.9406 (1.7704) Prec@1 58.594 (59.667) Prec@5 78.906 (81.302) Epoch: [53][8700/10010] Time 0.335 (0.333) Data 0.001 (0.001) Loss 2.2915 (1.7705) Prec@1 44.531 (59.667) Prec@5 76.562 (81.299) Epoch: [53][8710/10010] Time 0.333 (0.333) Data 0.000 (0.001) Loss 1.7861 (1.7705) Prec@1 64.062 (59.667) Prec@5 86.719 (81.298) Epoch: [53][8720/10010] Time 0.322 (0.333) Data 0.000 (0.001) Loss 1.6687 (1.7705) Prec@1 60.156 (59.666) Prec@5 85.156 (81.299) Epoch: [53][8730/10010] Time 0.315 (0.333) Data 0.001 (0.001) Loss 2.0460 (1.7705) Prec@1 48.438 (59.665) Prec@5 78.906 (81.298) Epoch: [53][8740/10010] Time 0.327 (0.333) Data 0.001 (0.001) Loss 2.0067 (1.7706) Prec@1 53.125 (59.663) Prec@5 79.688 (81.299) Epoch: [53][8750/10010] Time 0.323 (0.333) Data 0.001 (0.001) Loss 1.2957 (1.7705) Prec@1 71.094 (59.663) Prec@5 85.938 (81.301) Epoch: [53][8760/10010] Time 0.338 (0.333) Data 0.001 (0.001) Loss 1.7068 (1.7706) Prec@1 60.938 (59.662) Prec@5 82.812 (81.300) Epoch: [53][8770/10010] Time 0.324 (0.333) Data 0.001 (0.001) Loss 1.8885 (1.7706) Prec@1 55.469 (59.662) Prec@5 78.125 (81.301) Epoch: [53][8780/10010] Time 0.326 (0.333) Data 0.001 (0.001) Loss 1.4415 (1.7705) Prec@1 67.969 (59.663) Prec@5 85.156 (81.302) Epoch: [53][8790/10010] Time 0.316 (0.333) Data 0.001 (0.001) Loss 1.6056 (1.7706) Prec@1 60.156 (59.663) Prec@5 82.812 (81.302) Epoch: [53][8800/10010] Time 0.343 (0.333) Data 0.001 (0.001) Loss 1.8361 (1.7706) Prec@1 54.688 (59.661) Prec@5 82.031 (81.300) Epoch: [53][8810/10010] Time 0.321 (0.333) Data 0.001 (0.001) Loss 1.7393 (1.7706) Prec@1 64.062 (59.661) Prec@5 78.906 (81.301) Epoch: [53][8820/10010] Time 0.333 (0.333) Data 0.001 (0.001) Loss 1.6458 (1.7706) Prec@1 57.031 (59.661) Prec@5 83.594 (81.300) Epoch: [53][8830/10010] Time 0.337 (0.333) Data 0.001 (0.001) Loss 2.0088 (1.7706) Prec@1 54.688 (59.659) Prec@5 82.812 (81.299) Epoch: [53][8840/10010] Time 0.322 (0.333) Data 0.000 (0.001) Loss 1.8551 (1.7707) Prec@1 55.469 (59.658) Prec@5 78.125 (81.297) Epoch: [53][8850/10010] Time 0.333 (0.333) Data 0.001 (0.001) Loss 1.4324 (1.7706) Prec@1 61.719 (59.657) Prec@5 87.500 (81.298) Epoch: [53][8860/10010] Time 0.329 (0.333) Data 0.001 (0.001) Loss 1.8292 (1.7706) Prec@1 57.031 (59.658) Prec@5 83.594 (81.299) Epoch: [53][8870/10010] Time 0.336 (0.333) Data 0.000 (0.001) Loss 1.6477 (1.7706) Prec@1 56.250 (59.657) Prec@5 83.594 (81.299) Epoch: [53][8880/10010] Time 0.333 (0.333) Data 0.001 (0.001) Loss 1.9622 (1.7706) Prec@1 58.594 (59.656) Prec@5 77.344 (81.300) Epoch: [53][8890/10010] Time 0.322 (0.333) Data 0.001 (0.001) Loss 1.8591 (1.7706) Prec@1 60.156 (59.655) Prec@5 79.688 (81.299) Epoch: [53][8900/10010] Time 0.323 (0.333) Data 0.001 (0.001) Loss 1.9495 (1.7706) Prec@1 57.812 (59.656) Prec@5 78.906 (81.301) Epoch: [53][8910/10010] Time 0.320 (0.333) Data 0.001 (0.001) Loss 1.7039 (1.7706) Prec@1 63.281 (59.654) Prec@5 83.594 (81.299) Epoch: [53][8920/10010] Time 0.317 (0.333) Data 0.001 (0.001) Loss 2.0298 (1.7707) Prec@1 53.125 (59.653) Prec@5 76.562 (81.298) Epoch: [53][8930/10010] Time 0.335 (0.333) Data 0.001 (0.001) Loss 1.5296 (1.7707) Prec@1 63.281 (59.654) Prec@5 84.375 (81.296) Epoch: [53][8940/10010] Time 0.326 (0.333) Data 0.001 (0.001) Loss 1.6682 (1.7707) Prec@1 64.062 (59.654) Prec@5 84.375 (81.296) Epoch: [53][8950/10010] Time 0.320 (0.333) Data 0.001 (0.001) Loss 1.6388 (1.7707) Prec@1 56.250 (59.650) Prec@5 81.250 (81.294) Epoch: [53][8960/10010] Time 0.314 (0.333) Data 0.000 (0.001) Loss 2.1069 (1.7708) Prec@1 53.125 (59.650) Prec@5 78.125 (81.294) Epoch: [53][8970/10010] Time 0.318 (0.333) Data 0.000 (0.001) Loss 1.8639 (1.7708) Prec@1 59.375 (59.648) Prec@5 78.125 (81.292) Epoch: [53][8980/10010] Time 0.323 (0.333) Data 0.001 (0.001) Loss 1.5392 (1.7709) Prec@1 65.625 (59.648) Prec@5 86.719 (81.292) Epoch: [53][8990/10010] Time 0.335 (0.333) Data 0.001 (0.001) Loss 1.7320 (1.7710) Prec@1 59.375 (59.646) Prec@5 82.031 (81.290) Epoch: [53][9000/10010] Time 0.322 (0.333) Data 0.001 (0.001) Loss 2.0913 (1.7712) Prec@1 51.562 (59.644) Prec@5 76.562 (81.288) Epoch: [53][9010/10010] Time 0.326 (0.333) Data 0.001 (0.001) Loss 1.9479 (1.7712) Prec@1 57.812 (59.646) Prec@5 82.031 (81.289) Epoch: [53][9020/10010] Time 0.321 (0.333) Data 0.001 (0.001) Loss 1.8256 (1.7711) Prec@1 61.719 (59.647) Prec@5 77.344 (81.289) Epoch: [53][9030/10010] Time 0.313 (0.333) Data 0.001 (0.001) Loss 1.7072 (1.7712) Prec@1 60.938 (59.646) Prec@5 79.688 (81.288) Epoch: [53][9040/10010] Time 0.314 (0.333) Data 0.000 (0.001) Loss 1.6538 (1.7713) Prec@1 62.500 (59.645) Prec@5 81.250 (81.286) Epoch: [53][9050/10010] Time 0.335 (0.333) Data 0.000 (0.001) Loss 2.1842 (1.7713) Prec@1 55.469 (59.645) Prec@5 73.438 (81.285) Epoch: [53][9060/10010] Time 0.320 (0.333) Data 0.001 (0.001) Loss 1.8520 (1.7713) Prec@1 54.688 (59.645) Prec@5 80.469 (81.285) Epoch: [53][9070/10010] Time 0.319 (0.333) Data 0.001 (0.001) Loss 1.6762 (1.7714) Prec@1 57.812 (59.646) Prec@5 82.031 (81.284) Epoch: [53][9080/10010] Time 0.342 (0.333) Data 0.001 (0.001) Loss 2.0080 (1.7714) Prec@1 53.906 (59.647) Prec@5 75.781 (81.284) Epoch: [53][9090/10010] Time 0.322 (0.333) Data 0.000 (0.001) Loss 1.8065 (1.7714) Prec@1 58.594 (59.645) Prec@5 82.031 (81.284) Epoch: [53][9100/10010] Time 0.334 (0.333) Data 0.001 (0.001) Loss 1.8584 (1.7715) Prec@1 53.125 (59.642) Prec@5 81.250 (81.282) Epoch: [53][9110/10010] Time 0.337 (0.333) Data 0.001 (0.001) Loss 1.7145 (1.7715) Prec@1 60.156 (59.643) Prec@5 82.031 (81.281) Epoch: [53][9120/10010] Time 0.324 (0.333) Data 0.000 (0.001) Loss 2.0502 (1.7715) Prec@1 53.906 (59.643) Prec@5 78.125 (81.281) Epoch: [53][9130/10010] Time 0.330 (0.332) Data 0.001 (0.001) Loss 1.8089 (1.7715) Prec@1 59.375 (59.642) Prec@5 81.250 (81.281) Epoch: [53][9140/10010] Time 0.318 (0.332) Data 0.000 (0.001) Loss 1.9998 (1.7716) Prec@1 52.344 (59.642) Prec@5 77.344 (81.281) Epoch: [53][9150/10010] Time 0.328 (0.332) Data 0.001 (0.001) Loss 1.7168 (1.7716) Prec@1 64.062 (59.644) Prec@5 83.594 (81.281) Epoch: [53][9160/10010] Time 0.343 (0.332) Data 0.001 (0.001) Loss 1.7196 (1.7716) Prec@1 62.500 (59.642) Prec@5 82.031 (81.281) Epoch: [53][9170/10010] Time 0.323 (0.332) Data 0.000 (0.001) Loss 1.9332 (1.7717) Prec@1 56.250 (59.640) Prec@5 79.688 (81.280) Epoch: [53][9180/10010] Time 0.336 (0.332) Data 0.001 (0.001) Loss 1.6630 (1.7717) Prec@1 65.625 (59.640) Prec@5 81.250 (81.279) Epoch: [53][9190/10010] Time 0.335 (0.332) Data 0.001 (0.001) Loss 1.9834 (1.7717) Prec@1 52.344 (59.640) Prec@5 83.594 (81.279) Epoch: [53][9200/10010] Time 0.314 (0.332) Data 0.001 (0.001) Loss 2.0704 (1.7717) Prec@1 57.812 (59.642) Prec@5 77.344 (81.280) Epoch: [53][9210/10010] Time 0.328 (0.332) Data 0.001 (0.001) Loss 1.8359 (1.7717) Prec@1 53.906 (59.644) Prec@5 78.906 (81.280) Epoch: [53][9220/10010] Time 0.335 (0.332) Data 0.001 (0.001) Loss 2.0324 (1.7718) Prec@1 51.562 (59.642) Prec@5 79.688 (81.279) Epoch: [53][9230/10010] Time 0.322 (0.332) Data 0.001 (0.001) Loss 1.6610 (1.7718) Prec@1 63.281 (59.641) Prec@5 85.156 (81.279) Epoch: [53][9240/10010] Time 0.338 (0.332) Data 0.000 (0.001) Loss 1.8962 (1.7719) Prec@1 55.469 (59.640) Prec@5 77.344 (81.277) Epoch: [53][9250/10010] Time 0.331 (0.332) Data 0.000 (0.001) Loss 1.7041 (1.7719) Prec@1 62.500 (59.639) Prec@5 82.812 (81.276) Epoch: [53][9260/10010] Time 0.330 (0.332) Data 0.001 (0.001) Loss 1.8902 (1.7720) Prec@1 56.250 (59.639) Prec@5 81.250 (81.274) Epoch: [53][9270/10010] Time 0.324 (0.332) Data 0.001 (0.001) Loss 1.8280 (1.7719) Prec@1 60.938 (59.638) Prec@5 79.688 (81.274) Epoch: [53][9280/10010] Time 0.334 (0.332) Data 0.001 (0.001) Loss 1.6536 (1.7720) Prec@1 62.500 (59.637) Prec@5 82.812 (81.273) Epoch: [53][9290/10010] Time 0.343 (0.332) Data 0.000 (0.001) Loss 1.9708 (1.7721) Prec@1 61.719 (59.636) Prec@5 78.125 (81.271) Epoch: [53][9300/10010] Time 0.317 (0.332) Data 0.001 (0.001) Loss 1.5812 (1.7721) Prec@1 64.062 (59.636) Prec@5 82.031 (81.271) Epoch: [53][9310/10010] Time 0.344 (0.332) Data 0.001 (0.001) Loss 1.8177 (1.7721) Prec@1 59.375 (59.635) Prec@5 81.250 (81.272) Epoch: [53][9320/10010] Time 0.328 (0.332) Data 0.000 (0.001) Loss 1.9021 (1.7722) Prec@1 59.375 (59.635) Prec@5 78.906 (81.271) Epoch: [53][9330/10010] Time 0.340 (0.332) Data 0.000 (0.001) Loss 1.5939 (1.7722) Prec@1 63.281 (59.636) Prec@5 82.812 (81.271) Epoch: [53][9340/10010] Time 0.325 (0.332) Data 0.001 (0.001) Loss 1.7007 (1.7722) Prec@1 57.031 (59.633) Prec@5 87.500 (81.271) Epoch: [53][9350/10010] Time 0.327 (0.332) Data 0.000 (0.001) Loss 2.0182 (1.7723) Prec@1 48.438 (59.632) Prec@5 74.219 (81.270) Epoch: [53][9360/10010] Time 0.320 (0.332) Data 0.000 (0.001) Loss 1.5553 (1.7724) Prec@1 56.250 (59.630) Prec@5 86.719 (81.268) Epoch: [53][9370/10010] Time 0.340 (0.332) Data 0.001 (0.001) Loss 1.6935 (1.7725) Prec@1 61.719 (59.628) Prec@5 81.250 (81.267) Epoch: [53][9380/10010] Time 0.317 (0.332) Data 0.001 (0.001) Loss 2.1495 (1.7725) Prec@1 52.344 (59.628) Prec@5 75.781 (81.267) Epoch: [53][9390/10010] Time 0.336 (0.332) Data 0.001 (0.001) Loss 1.6237 (1.7726) Prec@1 60.938 (59.625) Prec@5 85.156 (81.265) Epoch: [53][9400/10010] Time 0.308 (0.332) Data 0.001 (0.001) Loss 1.6777 (1.7727) Prec@1 60.938 (59.624) Prec@5 81.250 (81.264) Epoch: [53][9410/10010] Time 0.342 (0.332) Data 0.001 (0.001) Loss 1.6988 (1.7727) Prec@1 62.500 (59.623) Prec@5 82.812 (81.263) Epoch: [53][9420/10010] Time 0.318 (0.332) Data 0.001 (0.001) Loss 1.6989 (1.7728) Prec@1 57.812 (59.621) Prec@5 82.812 (81.262) Epoch: [53][9430/10010] Time 0.347 (0.332) Data 0.000 (0.001) Loss 2.0643 (1.7727) Prec@1 58.594 (59.623) Prec@5 78.906 (81.264) Epoch: [53][9440/10010] Time 0.321 (0.332) Data 0.001 (0.001) Loss 2.0709 (1.7727) Prec@1 55.469 (59.623) Prec@5 77.344 (81.265) Epoch: [53][9450/10010] Time 0.316 (0.332) Data 0.001 (0.001) Loss 1.7915 (1.7727) Prec@1 61.719 (59.623) Prec@5 82.812 (81.265) Epoch: [53][9460/10010] Time 0.334 (0.332) Data 0.001 (0.001) Loss 1.6778 (1.7726) Prec@1 60.156 (59.623) Prec@5 81.250 (81.266) Epoch: [53][9470/10010] Time 0.335 (0.332) Data 0.001 (0.001) Loss 1.6693 (1.7726) Prec@1 59.375 (59.622) Prec@5 79.688 (81.265) Epoch: [53][9480/10010] Time 0.329 (0.332) Data 0.000 (0.001) Loss 1.6596 (1.7727) Prec@1 63.281 (59.620) Prec@5 84.375 (81.264) Epoch: [53][9490/10010] Time 0.350 (0.332) Data 0.001 (0.001) Loss 1.7774 (1.7726) Prec@1 64.844 (59.621) Prec@5 77.344 (81.264) Epoch: [53][9500/10010] Time 0.345 (0.332) Data 0.000 (0.001) Loss 1.9445 (1.7727) Prec@1 53.906 (59.618) Prec@5 78.906 (81.263) Epoch: [53][9510/10010] Time 0.329 (0.332) Data 0.001 (0.001) Loss 2.0106 (1.7727) Prec@1 54.688 (59.619) Prec@5 77.344 (81.264) Epoch: [53][9520/10010] Time 0.333 (0.332) Data 0.001 (0.001) Loss 1.7962 (1.7726) Prec@1 59.375 (59.622) Prec@5 82.031 (81.265) Epoch: [53][9530/10010] Time 0.320 (0.332) Data 0.000 (0.001) Loss 1.9257 (1.7726) Prec@1 50.000 (59.622) Prec@5 79.688 (81.265) Epoch: [53][9540/10010] Time 0.321 (0.332) Data 0.001 (0.001) Loss 1.6942 (1.7726) Prec@1 57.812 (59.622) Prec@5 81.250 (81.265) Epoch: [53][9550/10010] Time 0.338 (0.332) Data 0.001 (0.001) Loss 1.7333 (1.7727) Prec@1 67.188 (59.621) Prec@5 83.594 (81.264) Epoch: [53][9560/10010] Time 0.340 (0.332) Data 0.000 (0.001) Loss 1.5425 (1.7728) Prec@1 66.406 (59.621) Prec@5 82.031 (81.263) Epoch: [53][9570/10010] Time 0.339 (0.332) Data 0.001 (0.001) Loss 1.5208 (1.7727) Prec@1 64.062 (59.623) Prec@5 89.844 (81.265) Epoch: [53][9580/10010] Time 0.333 (0.332) Data 0.001 (0.001) Loss 1.9754 (1.7728) Prec@1 60.938 (59.620) Prec@5 76.562 (81.264) Epoch: [53][9590/10010] Time 0.314 (0.332) Data 0.001 (0.001) Loss 1.8432 (1.7729) Prec@1 54.688 (59.618) Prec@5 82.031 (81.262) Epoch: [53][9600/10010] Time 0.313 (0.332) Data 0.001 (0.001) Loss 1.3968 (1.7728) Prec@1 64.844 (59.620) Prec@5 87.500 (81.263) Epoch: [53][9610/10010] Time 0.315 (0.332) Data 0.001 (0.001) Loss 1.7541 (1.7728) Prec@1 57.812 (59.618) Prec@5 82.031 (81.262) Epoch: [53][9620/10010] Time 0.328 (0.332) Data 0.001 (0.001) Loss 1.7657 (1.7728) Prec@1 58.594 (59.617) Prec@5 76.562 (81.261) Epoch: [53][9630/10010] Time 0.321 (0.332) Data 0.001 (0.001) Loss 1.7477 (1.7729) Prec@1 57.812 (59.615) Prec@5 83.594 (81.260) Epoch: [53][9640/10010] Time 0.336 (0.332) Data 0.001 (0.001) Loss 1.7706 (1.7730) Prec@1 62.500 (59.614) Prec@5 78.906 (81.258) Epoch: [53][9650/10010] Time 0.340 (0.332) Data 0.001 (0.001) Loss 1.6426 (1.7730) Prec@1 60.156 (59.612) Prec@5 78.906 (81.259) Epoch: [53][9660/10010] Time 0.325 (0.332) Data 0.001 (0.001) Loss 1.8786 (1.7732) Prec@1 64.062 (59.610) Prec@5 75.000 (81.256) Epoch: [53][9670/10010] Time 0.337 (0.332) Data 0.001 (0.001) Loss 1.7572 (1.7732) Prec@1 64.844 (59.609) Prec@5 78.906 (81.256) Epoch: [53][9680/10010] Time 0.332 (0.332) Data 0.001 (0.001) Loss 1.9463 (1.7733) Prec@1 54.688 (59.606) Prec@5 80.469 (81.255) Epoch: [53][9690/10010] Time 0.322 (0.332) Data 0.001 (0.001) Loss 1.6276 (1.7733) Prec@1 59.375 (59.608) Prec@5 84.375 (81.255) Epoch: [53][9700/10010] Time 0.316 (0.332) Data 0.001 (0.001) Loss 1.7799 (1.7734) Prec@1 56.250 (59.608) Prec@5 82.812 (81.254) Epoch: [53][9710/10010] Time 0.324 (0.332) Data 0.001 (0.001) Loss 2.0544 (1.7735) Prec@1 51.562 (59.605) Prec@5 76.562 (81.252) Epoch: [53][9720/10010] Time 0.330 (0.332) Data 0.001 (0.001) Loss 1.7391 (1.7735) Prec@1 57.031 (59.605) Prec@5 82.031 (81.252) Epoch: [53][9730/10010] Time 0.320 (0.332) Data 0.001 (0.001) Loss 2.1144 (1.7734) Prec@1 56.250 (59.606) Prec@5 77.344 (81.252) Epoch: [53][9740/10010] Time 0.338 (0.332) Data 0.000 (0.001) Loss 1.6583 (1.7734) Prec@1 61.719 (59.606) Prec@5 82.812 (81.253) Epoch: [53][9750/10010] Time 0.313 (0.332) Data 0.000 (0.001) Loss 1.9361 (1.7735) Prec@1 53.125 (59.605) Prec@5 78.125 (81.251) Epoch: [53][9760/10010] Time 0.318 (0.332) Data 0.001 (0.001) Loss 1.5409 (1.7736) Prec@1 62.500 (59.605) Prec@5 85.156 (81.251) Epoch: [53][9770/10010] Time 0.335 (0.332) Data 0.001 (0.001) Loss 1.9855 (1.7736) Prec@1 59.375 (59.605) Prec@5 81.250 (81.251) Epoch: [53][9780/10010] Time 0.336 (0.332) Data 0.000 (0.001) Loss 1.7349 (1.7736) Prec@1 58.594 (59.604) Prec@5 80.469 (81.250) Epoch: [53][9790/10010] Time 0.318 (0.332) Data 0.001 (0.001) Loss 1.7812 (1.7736) Prec@1 57.031 (59.604) Prec@5 80.469 (81.251) Epoch: [53][9800/10010] Time 0.318 (0.332) Data 0.000 (0.001) Loss 1.5306 (1.7736) Prec@1 66.406 (59.606) Prec@5 85.156 (81.251) Epoch: [53][9810/10010] Time 0.326 (0.332) Data 0.000 (0.001) Loss 1.8042 (1.7737) Prec@1 60.156 (59.602) Prec@5 81.250 (81.249) Epoch: [53][9820/10010] Time 0.324 (0.332) Data 0.001 (0.001) Loss 1.4855 (1.7736) Prec@1 65.625 (59.603) Prec@5 82.812 (81.251) Epoch: [53][9830/10010] Time 0.329 (0.332) Data 0.001 (0.001) Loss 1.4874 (1.7736) Prec@1 70.312 (59.601) Prec@5 85.156 (81.252) Epoch: [53][9840/10010] Time 0.315 (0.332) Data 0.001 (0.001) Loss 1.8652 (1.7737) Prec@1 57.031 (59.599) Prec@5 79.688 (81.250) Epoch: [53][9850/10010] Time 0.316 (0.332) Data 0.000 (0.001) Loss 1.8837 (1.7737) Prec@1 58.594 (59.598) Prec@5 80.469 (81.251) Epoch: [53][9860/10010] Time 0.319 (0.332) Data 0.001 (0.001) Loss 1.8948 (1.7736) Prec@1 57.031 (59.600) Prec@5 78.906 (81.252) Epoch: [53][9870/10010] Time 0.333 (0.332) Data 0.001 (0.001) Loss 1.4754 (1.7736) Prec@1 68.750 (59.600) Prec@5 85.938 (81.252) Epoch: [53][9880/10010] Time 0.331 (0.332) Data 0.001 (0.001) Loss 1.9045 (1.7738) Prec@1 54.688 (59.597) Prec@5 82.031 (81.251) Epoch: [53][9890/10010] Time 0.339 (0.332) Data 0.000 (0.001) Loss 1.7687 (1.7739) Prec@1 54.688 (59.594) Prec@5 78.906 (81.247) Epoch: [53][9900/10010] Time 0.338 (0.332) Data 0.001 (0.001) Loss 1.7490 (1.7740) Prec@1 60.938 (59.593) Prec@5 80.469 (81.248) Epoch: [53][9910/10010] Time 0.335 (0.332) Data 0.000 (0.001) Loss 1.8996 (1.7740) Prec@1 57.031 (59.592) Prec@5 78.906 (81.248) Epoch: [53][9920/10010] Time 0.314 (0.332) Data 0.001 (0.001) Loss 1.9518 (1.7739) Prec@1 57.031 (59.591) Prec@5 78.125 (81.249) Epoch: [53][9930/10010] Time 0.341 (0.332) Data 0.001 (0.001) Loss 1.9292 (1.7739) Prec@1 55.469 (59.592) Prec@5 78.906 (81.249) Epoch: [53][9940/10010] Time 0.331 (0.332) Data 0.000 (0.001) Loss 2.0056 (1.7741) Prec@1 56.250 (59.590) Prec@5 83.594 (81.248) Epoch: [53][9950/10010] Time 0.323 (0.332) Data 0.000 (0.001) Loss 1.8008 (1.7740) Prec@1 65.625 (59.591) Prec@5 79.688 (81.249) Epoch: [53][9960/10010] Time 0.337 (0.332) Data 0.001 (0.001) Loss 1.8198 (1.7740) Prec@1 56.250 (59.590) Prec@5 84.375 (81.250) Epoch: [53][9970/10010] Time 0.340 (0.332) Data 0.001 (0.001) Loss 1.7061 (1.7741) Prec@1 60.156 (59.589) Prec@5 78.125 (81.248) Epoch: [53][9980/10010] Time 0.333 (0.332) Data 0.000 (0.001) Loss 1.9260 (1.7742) Prec@1 59.375 (59.588) Prec@5 76.562 (81.245) Epoch: [53][9990/10010] Time 0.322 (0.332) Data 0.000 (0.001) Loss 1.8643 (1.7743) Prec@1 60.938 (59.586) Prec@5 79.688 (81.243) Epoch: [53][10000/10010] Time 0.311 (0.332) Data 0.000 (0.001) Loss 1.9059 (1.7743) Prec@1 54.688 (59.585) Prec@5 79.688 (81.244) Test: [0/391] Time 1.484 (1.484) Loss 0.7923 (0.7923) Prec@1 83.594 (83.594) Prec@5 91.406 (91.406) Test: [10/391] Time 0.142 (0.237) Loss 1.5514 (0.8384) Prec@1 67.188 (80.540) Prec@5 85.156 (93.253) Test: [20/391] Time 0.101 (0.178) Loss 0.9844 (1.1348) Prec@1 72.656 (71.875) Prec@5 91.406 (90.141) Test: [30/391] Time 0.106 (0.154) Loss 2.0263 (1.2855) Prec@1 60.938 (68.397) Prec@5 82.812 (89.037) Test: [40/391] Time 0.106 (0.142) Loss 1.1946 (1.1716) Prec@1 71.875 (70.998) Prec@5 88.281 (90.034) Test: [50/391] Time 0.104 (0.135) Loss 0.9145 (1.1953) Prec@1 75.000 (70.604) Prec@5 90.625 (89.645) Test: [60/391] Time 0.110 (0.133) Loss 1.1980 (1.1309) Prec@1 69.531 (72.144) Prec@5 92.188 (90.305) Test: [70/391] Time 0.107 (0.130) Loss 1.5194 (1.1782) Prec@1 62.500 (70.731) Prec@5 91.406 (90.152) Test: [80/391] Time 0.109 (0.128) Loss 1.2450 (1.2141) Prec@1 67.188 (69.223) Prec@5 89.844 (90.114) Test: [90/391] Time 0.101 (0.125) Loss 1.3347 (1.2306) Prec@1 53.906 (68.793) Prec@5 90.625 (89.973) Test: [100/391] Time 0.103 (0.123) Loss 0.9450 (1.2167) Prec@1 70.312 (68.657) Prec@5 96.094 (90.347) Test: [110/391] Time 0.105 (0.122) Loss 1.4597 (1.2185) Prec@1 48.438 (68.461) Prec@5 94.531 (90.477) Test: [120/391] Time 0.103 (0.121) Loss 0.9541 (1.2029) Prec@1 71.875 (68.892) Prec@5 92.969 (90.664) Test: [130/391] Time 0.104 (0.119) Loss 0.7041 (1.1975) Prec@1 85.156 (69.227) Prec@5 94.531 (90.673) Test: [140/391] Time 0.101 (0.118) Loss 1.4591 (1.1961) Prec@1 60.938 (69.199) Prec@5 89.062 (90.708) Test: [150/391] Time 0.103 (0.117) Loss 1.2535 (1.1974) Prec@1 59.375 (69.283) Prec@5 91.406 (90.641) Test: [160/391] Time 0.106 (0.117) Loss 1.1571 (1.2061) Prec@1 73.438 (69.124) Prec@5 89.062 (90.547) Test: [170/391] Time 0.105 (0.116) Loss 1.9302 (1.2410) Prec@1 53.906 (68.476) Prec@5 87.500 (90.081) Test: [180/391] Time 0.104 (0.116) Loss 2.5481 (1.2771) Prec@1 37.500 (67.770) Prec@5 80.469 (89.559) Test: [190/391] Time 0.101 (0.115) Loss 2.0564 (1.3082) Prec@1 56.250 (67.237) Prec@5 81.250 (89.075) Test: [200/391] Time 0.107 (0.115) Loss 1.6668 (1.3439) Prec@1 53.906 (66.562) Prec@5 84.375 (88.600) Test: [210/391] Time 0.101 (0.114) Loss 1.9070 (1.3631) Prec@1 57.031 (66.236) Prec@5 80.469 (88.326) Test: [220/391] Time 0.111 (0.114) Loss 0.9298 (1.3722) Prec@1 78.125 (66.141) Prec@5 92.969 (88.112) Test: [230/391] Time 0.117 (0.114) Loss 2.4412 (1.3850) Prec@1 44.531 (66.017) Prec@5 78.906 (87.987) Test: [240/391] Time 0.107 (0.114) Loss 1.9783 (1.3954) Prec@1 64.062 (65.959) Prec@5 78.906 (87.798) Test: [250/391] Time 0.101 (0.114) Loss 1.1709 (1.4190) Prec@1 71.094 (65.448) Prec@5 90.625 (87.494) Test: [260/391] Time 0.108 (0.114) Loss 1.9400 (1.4374) Prec@1 55.469 (65.038) Prec@5 77.344 (87.228) Test: [270/391] Time 0.105 (0.113) Loss 2.4081 (1.4516) Prec@1 46.875 (64.751) Prec@5 75.781 (86.944) Test: [280/391] Time 0.104 (0.113) Loss 1.7338 (1.4661) Prec@1 58.594 (64.521) Prec@5 84.375 (86.749) Test: [290/391] Time 0.104 (0.113) Loss 1.6029 (1.4810) Prec@1 50.781 (64.269) Prec@5 86.719 (86.493) Test: [300/391] Time 0.101 (0.113) Loss 1.4163 (1.4936) Prec@1 75.781 (64.094) Prec@5 83.594 (86.293) Test: [310/391] Time 0.109 (0.112) Loss 1.8761 (1.5018) Prec@1 58.594 (63.970) Prec@5 78.125 (86.111) Test: [320/391] Time 0.106 (0.112) Loss 0.9212 (1.5107) Prec@1 82.812 (63.817) Prec@5 92.969 (85.981) Test: [330/391] Time 0.102 (0.112) Loss 2.4907 (1.5342) Prec@1 44.531 (63.366) Prec@5 70.312 (85.614) Test: [340/391] Time 0.198 (0.112) Loss 1.5341 (1.5437) Prec@1 58.594 (63.096) Prec@5 86.719 (85.493) Test: [350/391] Time 0.098 (0.112) Loss 1.8339 (1.5497) Prec@1 60.156 (63.025) Prec@5 85.156 (85.408) Test: [360/391] Time 0.106 (0.112) Loss 1.7594 (1.5562) Prec@1 50.000 (62.907) Prec@5 84.375 (85.338) Test: [370/391] Time 0.103 (0.111) Loss 1.2102 (1.5517) Prec@1 63.281 (62.949) Prec@5 95.312 (85.390) Test: [380/391] Time 0.107 (0.111) Loss 0.9871 (1.5525) Prec@1 78.906 (62.984) Prec@5 94.531 (85.347) Test: [390/391] Time 0.070 (0.111) Loss 2.5678 (1.5459) Prec@1 32.500 (63.134) Prec@5 75.000 (85.432) * Prec@1 63.134 Prec@5 85.432 Epoch: [54][0/10010] Time 2.590 (2.590) Data 2.414 (2.414) Loss 1.5873 (1.5873) Prec@1 62.500 (62.500) Prec@5 83.594 (83.594) Epoch: [54][10/10010] Time 0.322 (0.523) Data 0.001 (0.220) Loss 1.7997 (1.6884) Prec@1 60.938 (61.364) Prec@5 80.469 (82.031) Epoch: [54][20/10010] Time 0.323 (0.425) Data 0.000 (0.116) Loss 1.8540 (1.7663) Prec@1 57.031 (59.896) Prec@5 78.906 (80.729) Epoch: [54][30/10010] Time 0.312 (0.389) Data 0.000 (0.078) Loss 1.9071 (1.7818) Prec@1 57.812 (59.652) Prec@5 78.125 (80.570) Epoch: [54][40/10010] Time 0.330 (0.375) Data 0.000 (0.059) Loss 1.5267 (1.7476) Prec@1 66.406 (60.385) Prec@5 84.375 (81.117) Epoch: [54][50/10010] Time 0.319 (0.365) Data 0.001 (0.048) Loss 1.7233 (1.7679) Prec@1 60.156 (59.865) Prec@5 79.688 (80.668) Epoch: [54][60/10010] Time 0.319 (0.357) Data 0.000 (0.040) Loss 1.8542 (1.7691) Prec@1 56.250 (59.772) Prec@5 78.906 (80.546) Epoch: [54][70/10010] Time 0.335 (0.354) Data 0.001 (0.035) Loss 1.8937 (1.7647) Prec@1 60.156 (59.815) Prec@5 80.469 (80.612) Epoch: [54][80/10010] Time 0.337 (0.350) Data 0.001 (0.030) Loss 1.7396 (1.7666) Prec@1 59.375 (59.674) Prec@5 84.375 (80.797) Epoch: [54][90/10010] Time 0.331 (0.348) Data 0.001 (0.027) Loss 1.8125 (1.7691) Prec@1 58.594 (59.564) Prec@5 79.688 (80.786) Epoch: [54][100/10010] Time 0.336 (0.347) Data 0.001 (0.025) Loss 1.8904 (1.7572) Prec@1 60.156 (59.777) Prec@5 78.125 (81.018) Epoch: [54][110/10010] Time 0.340 (0.345) Data 0.001 (0.022) Loss 2.0422 (1.7527) Prec@1 57.812 (59.854) Prec@5 78.125 (81.201) Epoch: [54][120/10010] Time 0.323 (0.344) Data 0.000 (0.021) Loss 1.9501 (1.7550) Prec@1 61.719 (59.956) Prec@5 79.688 (81.256) Epoch: [54][130/10010] Time 0.339 (0.342) Data 0.001 (0.019) Loss 1.6021 (1.7548) Prec@1 63.281 (59.924) Prec@5 86.719 (81.339) Epoch: [54][140/10010] Time 0.335 (0.342) Data 0.001 (0.018) Loss 1.7856 (1.7513) Prec@1 64.844 (60.001) Prec@5 81.250 (81.438) Epoch: [54][150/10010] Time 0.319 (0.341) Data 0.000 (0.017) Loss 1.6765 (1.7486) Prec@1 66.406 (60.115) Prec@5 85.156 (81.493) Epoch: [54][160/10010] Time 0.339 (0.340) Data 0.001 (0.016) Loss 1.6669 (1.7498) Prec@1 58.594 (60.103) Prec@5 83.594 (81.468) Epoch: [54][170/10010] Time 0.336 (0.339) Data 0.001 (0.015) Loss 1.5823 (1.7449) Prec@1 60.938 (60.257) Prec@5 85.938 (81.547) Epoch: [54][180/10010] Time 0.319 (0.338) Data 0.001 (0.014) Loss 1.7608 (1.7423) Prec@1 56.250 (60.307) Prec@5 80.469 (81.578) Epoch: [54][190/10010] Time 0.332 (0.337) Data 0.000 (0.013) Loss 1.7683 (1.7402) Prec@1 59.375 (60.328) Prec@5 80.469 (81.618) Epoch: [54][200/10010] Time 0.335 (0.337) Data 0.000 (0.013) Loss 1.6097 (1.7373) Prec@1 63.281 (60.397) Prec@5 83.594 (81.689) Epoch: [54][210/10010] Time 0.312 (0.336) Data 0.000 (0.012) Loss 1.8491 (1.7390) Prec@1 55.469 (60.349) Prec@5 82.031 (81.720) Epoch: [54][220/10010] Time 0.331 (0.336) Data 0.000 (0.012) Loss 1.5922 (1.7427) Prec@1 65.625 (60.284) Prec@5 82.812 (81.664) Epoch: [54][230/10010] Time 0.325 (0.336) Data 0.001 (0.011) Loss 1.7959 (1.7406) Prec@1 64.844 (60.305) Prec@5 80.469 (81.690) Epoch: [54][240/10010] Time 0.313 (0.335) Data 0.001 (0.011) Loss 1.7244 (1.7385) Prec@1 56.250 (60.279) Prec@5 81.250 (81.704) Epoch: [54][250/10010] Time 0.334 (0.335) Data 0.001 (0.010) Loss 1.8690 (1.7357) Prec@1 60.938 (60.383) Prec@5 75.781 (81.714) Epoch: [54][260/10010] Time 0.337 (0.335) Data 0.001 (0.010) Loss 1.7093 (1.7359) Prec@1 56.250 (60.321) Prec@5 84.375 (81.759) Epoch: [54][270/10010] Time 0.330 (0.334) Data 0.001 (0.010) Loss 2.1363 (1.7366) Prec@1 51.562 (60.303) Prec@5 74.219 (81.734) Epoch: [54][280/10010] Time 0.324 (0.334) Data 0.001 (0.009) Loss 1.7262 (1.7346) Prec@1 61.719 (60.326) Prec@5 82.812 (81.739) Epoch: [54][290/10010] Time 0.330 (0.334) Data 0.001 (0.009) Loss 1.6510 (1.7326) Prec@1 58.594 (60.363) Prec@5 86.719 (81.779) Epoch: [54][300/10010] Time 0.315 (0.333) Data 0.001 (0.009) Loss 1.6632 (1.7318) Prec@1 60.938 (60.395) Prec@5 81.250 (81.772) Epoch: [54][310/10010] Time 0.319 (0.333) Data 0.001 (0.008) Loss 1.8127 (1.7297) Prec@1 57.031 (60.400) Prec@5 82.031 (81.800) Epoch: [54][320/10010] Time 0.335 (0.333) Data 0.000 (0.008) Loss 1.3805 (1.7283) Prec@1 67.188 (60.443) Prec@5 85.156 (81.841) Epoch: [54][330/10010] Time 0.343 (0.332) Data 0.000 (0.008) Loss 1.6891 (1.7286) Prec@1 60.156 (60.425) Prec@5 79.688 (81.835) Epoch: [54][340/10010] Time 0.316 (0.332) Data 0.001 (0.008) Loss 1.6678 (1.7271) Prec@1 65.625 (60.482) Prec@5 81.250 (81.832) Epoch: [54][350/10010] Time 0.323 (0.332) Data 0.001 (0.008) Loss 1.8208 (1.7279) Prec@1 56.250 (60.439) Prec@5 81.250 (81.838) Epoch: [54][360/10010] Time 0.323 (0.332) Data 0.001 (0.007) Loss 1.6735 (1.7279) Prec@1 60.938 (60.435) Prec@5 81.250 (81.828) Epoch: [54][370/10010] Time 0.343 (0.332) Data 0.000 (0.007) Loss 1.6356 (1.7293) Prec@1 64.062 (60.365) Prec@5 85.156 (81.831) Epoch: [54][380/10010] Time 0.332 (0.331) Data 0.000 (0.007) Loss 1.5978 (1.7323) Prec@1 61.719 (60.333) Prec@5 87.500 (81.791) Epoch: [54][390/10010] Time 0.316 (0.331) Data 0.001 (0.007) Loss 1.8146 (1.7328) Prec@1 60.156 (60.322) Prec@5 82.031 (81.801) Epoch: [54][400/10010] Time 0.321 (0.331) Data 0.001 (0.007) Loss 2.1918 (1.7347) Prec@1 55.469 (60.314) Prec@5 72.656 (81.766) Epoch: [54][410/10010] Time 0.317 (0.331) Data 0.001 (0.007) Loss 2.1455 (1.7353) Prec@1 53.906 (60.295) Prec@5 72.656 (81.775) Epoch: [54][420/10010] Time 0.313 (0.330) Data 0.001 (0.006) Loss 1.6845 (1.7358) Prec@1 66.406 (60.264) Prec@5 79.688 (81.755) Epoch: [54][430/10010] Time 0.333 (0.330) Data 0.001 (0.006) Loss 1.8266 (1.7385) Prec@1 60.938 (60.216) Prec@5 81.250 (81.719) Epoch: [54][440/10010] Time 0.318 (0.330) Data 0.000 (0.006) Loss 1.8020 (1.7378) Prec@1 58.594 (60.254) Prec@5 78.125 (81.689) Epoch: [54][450/10010] Time 0.336 (0.330) Data 0.000 (0.006) Loss 1.6766 (1.7378) Prec@1 57.031 (60.238) Prec@5 82.812 (81.688) Epoch: [54][460/10010] Time 0.322 (0.330) Data 0.001 (0.006) Loss 1.5926 (1.7402) Prec@1 62.500 (60.221) Prec@5 82.031 (81.640) Epoch: [54][470/10010] Time 0.330 (0.330) Data 0.001 (0.006) Loss 1.9208 (1.7413) Prec@1 57.031 (60.183) Prec@5 75.000 (81.625) Epoch: [54][480/10010] Time 0.321 (0.330) Data 0.001 (0.006) Loss 1.5035 (1.7422) Prec@1 62.500 (60.171) Prec@5 92.188 (81.632) Epoch: [54][490/10010] Time 0.325 (0.330) Data 0.001 (0.006) Loss 1.5864 (1.7412) Prec@1 61.719 (60.183) Prec@5 79.688 (81.630) Epoch: [54][500/10010] Time 0.332 (0.329) Data 0.001 (0.005) Loss 1.8673 (1.7418) Prec@1 57.812 (60.184) Prec@5 78.125 (81.618) /data/vision/torralba/deepscene/lib/anaconda2/lib/python2.7/site-packages/PIL/TiffImagePlugin.py:692: UserWarning: Possibly corrupt EXIF data. Expecting to read 2555904 bytes but only got 0. Skipping tag 0 "Skipping tag %s" % (size, len(data), tag)) Epoch: [54][510/10010] Time 0.335 (0.329) Data 0.001 (0.005) Loss 1.8472 (1.7431) Prec@1 57.031 (60.116) Prec@5 79.688 (81.599) Epoch: [54][520/10010] Time 0.316 (0.329) Data 0.000 (0.005) Loss 1.6414 (1.7453) Prec@1 64.062 (60.077) Prec@5 85.156 (81.590) Epoch: [54][530/10010] Time 0.333 (0.329) Data 0.001 (0.005) Loss 1.8890 (1.7459) Prec@1 60.156 (60.068) Prec@5 80.469 (81.594) Epoch: [54][540/10010] Time 0.332 (0.329) Data 0.000 (0.005) Loss 1.9010 (1.7471) Prec@1 58.594 (60.064) Prec@5 78.906 (81.576) Epoch: [54][550/10010] Time 0.319 (0.329) Data 0.001 (0.005) Loss 1.6001 (1.7459) Prec@1 64.844 (60.061) Prec@5 83.594 (81.586) Epoch: [54][560/10010] Time 0.331 (0.329) Data 0.001 (0.005) Loss 2.0474 (1.7470) Prec@1 53.125 (60.038) Prec@5 73.438 (81.555) Epoch: [54][570/10010] Time 0.340 (0.329) Data 0.000 (0.005) Loss 1.9046 (1.7469) Prec@1 55.469 (60.050) Prec@5 78.906 (81.552) Epoch: [54][580/10010] Time 0.315 (0.329) Data 0.000 (0.005) Loss 1.8583 (1.7463) Prec@1 56.250 (60.072) Prec@5 79.688 (81.561) Epoch: [54][590/10010] Time 0.331 (0.329) Data 0.000 (0.005) Loss 1.7748 (1.7485) Prec@1 56.250 (60.027) Prec@5 79.688 (81.526) Epoch: [54][600/10010] Time 0.337 (0.329) Data 0.000 (0.005) Loss 1.5329 (1.7466) Prec@1 64.844 (60.080) Prec@5 84.375 (81.562) /data/vision/torralba/deepscene/lib/anaconda2/lib/python2.7/site-packages/PIL/TiffImagePlugin.py:692: UserWarning: Possibly corrupt EXIF data. Expecting to read 2555904 bytes but only got 0. Skipping tag 0 "Skipping tag %s" % (size, len(data), tag)) Epoch: [54][610/10010] Time 0.331 (0.329) Data 0.000 (0.005) Loss 1.4855 (1.7479) Prec@1 66.406 (60.064) Prec@5 89.062 (81.542) Epoch: [54][620/10010] Time 0.328 (0.329) Data 0.001 (0.005) Loss 1.9024 (1.7490) Prec@1 58.594 (60.038) Prec@5 78.906 (81.531) Epoch: [54][630/10010] Time 0.323 (0.329) Data 0.001 (0.004) Loss 1.7928 (1.7476) Prec@1 55.469 (60.078) Prec@5 82.812 (81.534) Epoch: [54][640/10010] Time 0.337 (0.329) Data 0.001 (0.004) Loss 1.6674 (1.7459) Prec@1 60.938 (60.110) Prec@5 85.156 (81.560) Epoch: [54][650/10010] Time 0.320 (0.329) Data 0.001 (0.004) Loss 1.5907 (1.7474) Prec@1 61.719 (60.069) Prec@5 87.500 (81.554) Epoch: [54][660/10010] Time 0.315 (0.329) Data 0.001 (0.004) Loss 1.7405 (1.7471) Prec@1 60.938 (60.098) Prec@5 83.594 (81.567) Epoch: [54][670/10010] Time 0.313 (0.329) Data 0.000 (0.004) Loss 1.6731 (1.7478) Prec@1 53.125 (60.069) Prec@5 85.938 (81.545) Epoch: [54][680/10010] Time 0.334 (0.329) Data 0.000 (0.004) Loss 2.0941 (1.7482) Prec@1 51.562 (60.052) Prec@5 75.781 (81.548) Epoch: [54][690/10010] Time 0.326 (0.329) Data 0.001 (0.004) Loss 1.3760 (1.7478) Prec@1 67.188 (60.048) Prec@5 87.500 (81.551) Epoch: [54][700/10010] Time 0.326 (0.329) Data 0.001 (0.004) Loss 1.7359 (1.7484) Prec@1 57.031 (60.034) Prec@5 80.469 (81.545) Epoch: [54][710/10010] Time 0.334 (0.329) Data 0.001 (0.004) Loss 1.9184 (1.7487) Prec@1 59.375 (60.038) Prec@5 76.562 (81.531) Epoch: [54][720/10010] Time 0.343 (0.329) Data 0.001 (0.004) Loss 1.7355 (1.7496) Prec@1 59.375 (60.036) Prec@5 82.031 (81.521) Epoch: [54][730/10010] Time 0.318 (0.329) Data 0.000 (0.004) Loss 1.3156 (1.7487) Prec@1 62.500 (60.066) Prec@5 88.281 (81.524) Epoch: [54][740/10010] Time 0.339 (0.329) Data 0.001 (0.004) Loss 1.5758 (1.7474) Prec@1 58.594 (60.081) Prec@5 85.938 (81.535) Epoch: [54][750/10010] Time 0.318 (0.329) Data 0.000 (0.004) Loss 1.6938 (1.7476) Prec@1 63.281 (60.088) Prec@5 85.938 (81.531) Epoch: [54][760/10010] Time 0.341 (0.329) Data 0.001 (0.004) Loss 1.4841 (1.7486) Prec@1 60.156 (60.066) Prec@5 87.500 (81.505) Epoch: [54][770/10010] Time 0.313 (0.329) Data 0.001 (0.004) Loss 1.5743 (1.7480) Prec@1 64.062 (60.078) Prec@5 83.594 (81.516) Epoch: [54][780/10010] Time 0.322 (0.329) Data 0.001 (0.004) Loss 1.8593 (1.7475) Prec@1 60.156 (60.089) Prec@5 78.125 (81.517) Epoch: [54][790/10010] Time 0.319 (0.329) Data 0.000 (0.004) Loss 1.3943 (1.7472) Prec@1 69.531 (60.098) Prec@5 87.500 (81.533) Epoch: [54][800/10010] Time 0.322 (0.329) Data 0.001 (0.004) Loss 1.3474 (1.7461) Prec@1 67.188 (60.112) Prec@5 85.938 (81.546) Epoch: [54][810/10010] Time 0.321 (0.328) Data 0.001 (0.004) Loss 1.8973 (1.7459) Prec@1 57.812 (60.118) Prec@5 79.688 (81.556) Epoch: [54][820/10010] Time 0.329 (0.328) Data 0.001 (0.004) Loss 1.5049 (1.7458) Prec@1 62.500 (60.121) Prec@5 87.500 (81.557) Epoch: [54][830/10010] Time 0.335 (0.328) Data 0.000 (0.004) Loss 1.9588 (1.7459) Prec@1 52.344 (60.110) Prec@5 78.125 (81.553) Epoch: [54][840/10010] Time 0.340 (0.328) Data 0.000 (0.004) Loss 1.6208 (1.7462) Prec@1 61.719 (60.110) Prec@5 84.375 (81.557) Epoch: [54][850/10010] Time 0.332 (0.328) Data 0.001 (0.003) Loss 1.6242 (1.7466) Prec@1 60.938 (60.103) Prec@5 82.812 (81.551) Epoch: [54][860/10010] Time 0.325 (0.328) Data 0.001 (0.003) Loss 1.6197 (1.7474) Prec@1 62.500 (60.082) Prec@5 85.156 (81.535) Epoch: [54][870/10010] Time 0.335 (0.328) Data 0.001 (0.003) Loss 1.6115 (1.7473) Prec@1 61.719 (60.096) Prec@5 84.375 (81.529) Epoch: [54][880/10010] Time 0.340 (0.328) Data 0.001 (0.003) Loss 1.6803 (1.7465) Prec@1 60.938 (60.114) Prec@5 82.031 (81.542) Epoch: [54][890/10010] Time 0.312 (0.328) Data 0.001 (0.003) Loss 1.8012 (1.7468) Prec@1 63.281 (60.102) Prec@5 78.906 (81.521) Epoch: [54][900/10010] Time 0.339 (0.328) Data 0.001 (0.003) Loss 1.7416 (1.7460) Prec@1 61.719 (60.122) Prec@5 81.250 (81.542) Epoch: [54][910/10010] Time 0.320 (0.328) Data 0.001 (0.003) Loss 1.7770 (1.7465) Prec@1 56.250 (60.116) Prec@5 80.469 (81.545) Epoch: [54][920/10010] Time 0.334 (0.328) Data 0.001 (0.003) Loss 2.1188 (1.7460) Prec@1 53.906 (60.129) Prec@5 77.344 (81.556) Epoch: [54][930/10010] Time 0.320 (0.328) Data 0.000 (0.003) Loss 1.9994 (1.7462) Prec@1 56.250 (60.106) Prec@5 76.562 (81.562) Epoch: [54][940/10010] Time 0.322 (0.328) Data 0.001 (0.003) Loss 2.3727 (1.7461) Prec@1 46.875 (60.107) Prec@5 74.219 (81.570) Epoch: [54][950/10010] Time 0.341 (0.328) Data 0.001 (0.003) Loss 1.8610 (1.7463) Prec@1 58.594 (60.107) Prec@5 76.562 (81.566) Epoch: [54][960/10010] Time 0.314 (0.328) Data 0.001 (0.003) Loss 1.8399 (1.7460) Prec@1 59.375 (60.108) Prec@5 77.344 (81.573) Epoch: [54][970/10010] Time 0.322 (0.328) Data 0.000 (0.003) Loss 2.0015 (1.7467) Prec@1 50.000 (60.096) Prec@5 79.688 (81.569) Epoch: [54][980/10010] Time 0.330 (0.328) Data 0.000 (0.003) Loss 1.6771 (1.7462) Prec@1 59.375 (60.090) Prec@5 84.375 (81.582) Epoch: [54][990/10010] Time 0.335 (0.328) Data 0.001 (0.003) Loss 1.7845 (1.7465) Prec@1 57.812 (60.092) Prec@5 75.781 (81.573) Epoch: [54][1000/10010] Time 0.341 (0.328) Data 0.000 (0.003) Loss 1.5792 (1.7471) Prec@1 62.500 (60.096) Prec@5 82.812 (81.564) Epoch: [54][1010/10010] Time 0.311 (0.328) Data 0.000 (0.003) Loss 1.6959 (1.7469) Prec@1 64.844 (60.107) Prec@5 82.031 (81.571) Epoch: [54][1020/10010] Time 0.333 (0.328) Data 0.000 (0.003) Loss 2.1067 (1.7475) Prec@1 50.781 (60.075) Prec@5 78.906 (81.572) Epoch: [54][1030/10010] Time 0.332 (0.328) Data 0.001 (0.003) Loss 2.1347 (1.7478) Prec@1 56.250 (60.086) Prec@5 74.219 (81.552) Epoch: [54][1040/10010] Time 0.326 (0.328) Data 0.001 (0.003) Loss 1.7801 (1.7481) Prec@1 58.594 (60.077) Prec@5 82.031 (81.537) Epoch: [54][1050/10010] Time 0.338 (0.328) Data 0.000 (0.003) Loss 1.8302 (1.7477) Prec@1 54.688 (60.077) Prec@5 81.250 (81.544) Epoch: [54][1060/10010] Time 0.333 (0.328) Data 0.001 (0.003) Loss 1.6200 (1.7478) Prec@1 58.594 (60.083) Prec@5 82.812 (81.537) Epoch: [54][1070/10010] Time 0.318 (0.328) Data 0.000 (0.003) Loss 1.5062 (1.7476) Prec@1 69.531 (60.096) Prec@5 85.156 (81.548) Epoch: [54][1080/10010] Time 0.318 (0.328) Data 0.000 (0.003) Loss 1.8413 (1.7468) Prec@1 61.719 (60.121) Prec@5 83.594 (81.567) Epoch: [54][1090/10010] Time 0.326 (0.328) Data 0.000 (0.003) Loss 2.0505 (1.7477) Prec@1 53.125 (60.103) Prec@5 75.781 (81.549) Epoch: [54][1100/10010] Time 0.331 (0.328) Data 0.000 (0.003) Loss 2.0481 (1.7482) Prec@1 57.031 (60.099) Prec@5 74.219 (81.542) Epoch: [54][1110/10010] Time 0.323 (0.328) Data 0.000 (0.003) Loss 1.8147 (1.7482) Prec@1 60.938 (60.114) Prec@5 79.688 (81.546) Epoch: [54][1120/10010] Time 0.315 (0.328) Data 0.001 (0.003) Loss 1.6674 (1.7475) Prec@1 59.375 (60.135) Prec@5 82.031 (81.556) Epoch: [54][1130/10010] Time 0.314 (0.328) Data 0.000 (0.003) Loss 1.5951 (1.7478) Prec@1 62.500 (60.127) Prec@5 84.375 (81.558) Epoch: [54][1140/10010] Time 0.317 (0.328) Data 0.001 (0.003) Loss 1.7330 (1.7482) Prec@1 56.250 (60.118) Prec@5 84.375 (81.557) Epoch: [54][1150/10010] Time 0.323 (0.328) Data 0.000 (0.003) Loss 1.9032 (1.7476) Prec@1 61.719 (60.130) Prec@5 79.688 (81.560) Epoch: [54][1160/10010] Time 0.333 (0.328) Data 0.001 (0.003) Loss 1.5191 (1.7479) Prec@1 60.156 (60.121) Prec@5 85.156 (81.551) Epoch: [54][1170/10010] Time 0.324 (0.328) Data 0.001 (0.003) Loss 1.3658 (1.7478) Prec@1 68.750 (60.121) Prec@5 87.500 (81.550) Epoch: [54][1180/10010] Time 0.332 (0.328) Data 0.000 (0.003) Loss 1.9413 (1.7479) Prec@1 57.812 (60.123) Prec@5 76.562 (81.549) Epoch: [54][1190/10010] Time 0.328 (0.328) Data 0.001 (0.003) Loss 1.5879 (1.7483) Prec@1 60.156 (60.123) Prec@5 85.156 (81.538) Epoch: [54][1200/10010] Time 0.317 (0.328) Data 0.001 (0.003) Loss 1.7203 (1.7490) Prec@1 63.281 (60.111) Prec@5 82.812 (81.534) Epoch: [54][1210/10010] Time 0.320 (0.328) Data 0.000 (0.003) Loss 1.9997 (1.7486) Prec@1 61.719 (60.120) Prec@5 77.344 (81.538) Epoch: [54][1220/10010] Time 0.322 (0.328) Data 0.001 (0.003) Loss 1.6384 (1.7490) Prec@1 54.688 (60.105) Prec@5 82.812 (81.530) Epoch: [54][1230/10010] Time 0.321 (0.328) Data 0.000 (0.003) Loss 1.5726 (1.7488) Prec@1 63.281 (60.114) Prec@5 83.594 (81.529) Epoch: [54][1240/10010] Time 0.334 (0.328) Data 0.000 (0.003) Loss 1.7748 (1.7491) Prec@1 60.156 (60.107) Prec@5 81.250 (81.530) Epoch: [54][1250/10010] Time 0.320 (0.328) Data 0.001 (0.003) Loss 1.7312 (1.7493) Prec@1 58.594 (60.099) Prec@5 81.250 (81.527) Epoch: [54][1260/10010] Time 0.328 (0.328) Data 0.000 (0.003) Loss 1.6900 (1.7488) Prec@1 60.156 (60.105) Prec@5 82.031 (81.536) Epoch: [54][1270/10010] Time 0.325 (0.328) Data 0.001 (0.003) Loss 1.7843 (1.7484) Prec@1 59.375 (60.096) Prec@5 78.906 (81.543) Epoch: [54][1280/10010] Time 0.334 (0.328) Data 0.001 (0.003) Loss 1.7354 (1.7484) Prec@1 62.500 (60.104) Prec@5 78.906 (81.545) Epoch: [54][1290/10010] Time 0.336 (0.328) Data 0.001 (0.003) Loss 1.8564 (1.7485) Prec@1 53.125 (60.102) Prec@5 80.469 (81.543) Epoch: [54][1300/10010] Time 0.329 (0.328) Data 0.000 (0.002) Loss 1.8495 (1.7491) Prec@1 60.938 (60.106) Prec@5 79.688 (81.532) Epoch: [54][1310/10010] Time 0.323 (0.328) Data 0.001 (0.002) Loss 1.5391 (1.7498) Prec@1 62.500 (60.087) Prec@5 82.812 (81.521) Epoch: [54][1320/10010] Time 0.322 (0.328) Data 0.001 (0.002) Loss 1.8201 (1.7501) Prec@1 60.156 (60.079) Prec@5 77.344 (81.516) Epoch: [54][1330/10010] Time 0.326 (0.328) Data 0.001 (0.002) Loss 1.6305 (1.7506) Prec@1 61.719 (60.055) Prec@5 84.375 (81.512) Epoch: [54][1340/10010] Time 0.336 (0.328) Data 0.001 (0.002) Loss 2.0681 (1.7513) Prec@1 60.938 (60.058) Prec@5 76.562 (81.499) Epoch: [54][1350/10010] Time 0.338 (0.328) Data 0.000 (0.002) Loss 1.7008 (1.7518) Prec@1 57.812 (60.050) Prec@5 81.250 (81.490) Epoch: [54][1360/10010] Time 0.333 (0.328) Data 0.001 (0.002) Loss 1.6786 (1.7515) Prec@1 60.156 (60.048) Prec@5 79.688 (81.493) Epoch: [54][1370/10010] Time 0.330 (0.328) Data 0.001 (0.002) Loss 1.9164 (1.7515) Prec@1 57.812 (60.044) Prec@5 78.125 (81.499) Epoch: [54][1380/10010] Time 0.327 (0.328) Data 0.001 (0.002) Loss 1.7536 (1.7518) Prec@1 59.375 (60.033) Prec@5 79.688 (81.494) Epoch: [54][1390/10010] Time 0.323 (0.328) Data 0.001 (0.002) Loss 1.6833 (1.7516) Prec@1 60.938 (60.034) Prec@5 82.031 (81.499) Epoch: [54][1400/10010] Time 0.331 (0.328) Data 0.000 (0.002) Loss 2.0246 (1.7516) Prec@1 57.812 (60.031) Prec@5 78.125 (81.500) Epoch: [54][1410/10010] Time 0.314 (0.327) Data 0.001 (0.002) Loss 1.8204 (1.7525) Prec@1 57.812 (60.013) Prec@5 81.250 (81.487) Epoch: [54][1420/10010] Time 0.336 (0.327) Data 0.000 (0.002) Loss 1.8790 (1.7527) Prec@1 57.031 (60.018) Prec@5 79.688 (81.479) Epoch: [54][1430/10010] Time 0.340 (0.327) Data 0.001 (0.002) Loss 1.7509 (1.7527) Prec@1 66.406 (60.027) Prec@5 81.250 (81.481) Epoch: [54][1440/10010] Time 0.335 (0.327) Data 0.000 (0.002) Loss 1.7491 (1.7525) Prec@1 63.281 (60.036) Prec@5 84.375 (81.489) Epoch: [54][1450/10010] Time 0.328 (0.327) Data 0.000 (0.002) Loss 1.4017 (1.7522) Prec@1 68.750 (60.052) Prec@5 89.062 (81.493) Epoch: [54][1460/10010] Time 0.321 (0.328) Data 0.000 (0.002) Loss 1.9888 (1.7521) Prec@1 53.906 (60.056) Prec@5 75.000 (81.495) Epoch: [54][1470/10010] Time 0.341 (0.328) Data 0.000 (0.002) Loss 1.6173 (1.7518) Prec@1 60.156 (60.068) Prec@5 82.812 (81.501) Epoch: [54][1480/10010] Time 0.342 (0.328) Data 0.000 (0.002) Loss 1.6421 (1.7515) Prec@1 57.812 (60.076) Prec@5 84.375 (81.514) Epoch: [54][1490/10010] Time 0.321 (0.328) Data 0.000 (0.002) Loss 1.7280 (1.7508) Prec@1 53.125 (60.088) Prec@5 82.031 (81.522) Epoch: [54][1500/10010] Time 0.320 (0.327) Data 0.001 (0.002) Loss 1.8235 (1.7513) Prec@1 58.594 (60.078) Prec@5 80.469 (81.512) Epoch: [54][1510/10010] Time 0.339 (0.327) Data 0.000 (0.002) Loss 1.5723 (1.7517) Prec@1 56.250 (60.054) Prec@5 83.594 (81.501) Epoch: [54][1520/10010] Time 0.333 (0.327) Data 0.000 (0.002) Loss 1.7203 (1.7516) Prec@1 62.500 (60.051) Prec@5 84.375 (81.504) Epoch: [54][1530/10010] Time 0.329 (0.327) Data 0.000 (0.002) Loss 2.1303 (1.7516) Prec@1 51.562 (60.044) Prec@5 79.688 (81.513) Epoch: [54][1540/10010] Time 0.323 (0.327) Data 0.000 (0.002) Loss 1.8252 (1.7518) Prec@1 52.344 (60.038) Prec@5 82.812 (81.510) Epoch: [54][1550/10010] Time 0.327 (0.327) Data 0.000 (0.002) Loss 1.7769 (1.7518) Prec@1 60.938 (60.027) Prec@5 78.906 (81.510) Epoch: [54][1560/10010] Time 0.338 (0.327) Data 0.001 (0.002) Loss 1.6932 (1.7519) Prec@1 65.625 (60.027) Prec@5 82.812 (81.508) Epoch: [54][1570/10010] Time 0.316 (0.327) Data 0.000 (0.002) Loss 1.6776 (1.7522) Prec@1 65.625 (60.024) Prec@5 86.719 (81.507) Epoch: [54][1580/10010] Time 0.325 (0.327) Data 0.001 (0.002) Loss 2.0838 (1.7525) Prec@1 55.469 (60.010) Prec@5 78.906 (81.505) Epoch: [54][1590/10010] Time 0.336 (0.327) Data 0.000 (0.002) Loss 1.8291 (1.7519) Prec@1 61.719 (60.035) Prec@5 78.906 (81.515) Epoch: [54][1600/10010] Time 0.315 (0.327) Data 0.001 (0.002) Loss 1.7310 (1.7520) Prec@1 58.594 (60.032) Prec@5 81.250 (81.512) Epoch: [54][1610/10010] Time 0.324 (0.327) Data 0.000 (0.002) Loss 1.6595 (1.7522) Prec@1 61.719 (60.030) Prec@5 82.812 (81.506) Epoch: [54][1620/10010] Time 0.314 (0.327) Data 0.000 (0.002) Loss 1.8506 (1.7522) Prec@1 61.719 (60.034) Prec@5 80.469 (81.514) Epoch: [54][1630/10010] Time 0.336 (0.327) Data 0.001 (0.002) Loss 1.6267 (1.7523) Prec@1 57.031 (60.028) Prec@5 82.812 (81.513) Epoch: [54][1640/10010] Time 0.336 (0.327) Data 0.001 (0.002) Loss 2.1975 (1.7526) Prec@1 53.906 (60.028) Prec@5 81.250 (81.515) Epoch: [54][1650/10010] Time 0.320 (0.327) Data 0.000 (0.002) Loss 1.7756 (1.7525) Prec@1 56.250 (60.025) Prec@5 82.812 (81.522) Epoch: [54][1660/10010] Time 0.331 (0.327) Data 0.000 (0.002) Loss 1.7693 (1.7522) Prec@1 63.281 (60.031) Prec@5 83.594 (81.525) Epoch: [54][1670/10010] Time 0.339 (0.327) Data 0.000 (0.002) Loss 1.6690 (1.7524) Prec@1 62.500 (60.024) Prec@5 80.469 (81.516) Epoch: [54][1680/10010] Time 0.342 (0.327) Data 0.001 (0.002) Loss 1.9564 (1.7523) Prec@1 57.031 (60.029) Prec@5 78.125 (81.514) Epoch: [54][1690/10010] Time 0.337 (0.327) Data 0.001 (0.002) Loss 1.6182 (1.7518) Prec@1 64.062 (60.036) Prec@5 85.156 (81.520) Epoch: [54][1700/10010] Time 0.314 (0.327) Data 0.001 (0.002) Loss 1.7645 (1.7515) Prec@1 56.250 (60.046) Prec@5 84.375 (81.525) Epoch: [54][1710/10010] Time 0.324 (0.327) Data 0.000 (0.002) Loss 1.5355 (1.7517) Prec@1 63.281 (60.037) Prec@5 87.500 (81.523) Epoch: [54][1720/10010] Time 0.321 (0.327) Data 0.001 (0.002) Loss 1.7582 (1.7516) Prec@1 64.062 (60.046) Prec@5 81.250 (81.525) Epoch: [54][1730/10010] Time 0.315 (0.327) Data 0.000 (0.002) Loss 1.8091 (1.7510) Prec@1 57.031 (60.056) Prec@5 81.250 (81.535) Epoch: [54][1740/10010] Time 0.331 (0.327) Data 0.000 (0.002) Loss 1.8221 (1.7512) Prec@1 64.844 (60.062) Prec@5 78.125 (81.530) Epoch: [54][1750/10010] Time 0.332 (0.327) Data 0.001 (0.002) Loss 1.4574 (1.7511) Prec@1 65.625 (60.064) Prec@5 90.625 (81.539) Epoch: [54][1760/10010] Time 0.319 (0.327) Data 0.000 (0.002) Loss 2.0561 (1.7511) Prec@1 55.469 (60.069) Prec@5 75.000 (81.533) Epoch: [54][1770/10010] Time 0.330 (0.327) Data 0.001 (0.002) Loss 1.7146 (1.7509) Prec@1 65.625 (60.075) Prec@5 78.906 (81.538) Epoch: [54][1780/10010] Time 0.328 (0.327) Data 0.001 (0.002) Loss 1.5089 (1.7504) Prec@1 64.062 (60.076) Prec@5 85.938 (81.549) Epoch: [54][1790/10010] Time 0.341 (0.327) Data 0.001 (0.002) Loss 1.9660 (1.7511) Prec@1 56.250 (60.062) Prec@5 80.469 (81.537) Epoch: [54][1800/10010] Time 0.313 (0.327) Data 0.000 (0.002) Loss 2.0753 (1.7512) Prec@1 51.562 (60.061) Prec@5 78.906 (81.534) Epoch: [54][1810/10010] Time 0.325 (0.327) Data 0.000 (0.002) Loss 1.8381 (1.7513) Prec@1 58.594 (60.059) Prec@5 82.031 (81.540) Epoch: [54][1820/10010] Time 0.320 (0.327) Data 0.001 (0.002) Loss 1.6467 (1.7507) Prec@1 64.844 (60.066) Prec@5 88.281 (81.551) Epoch: [54][1830/10010] Time 0.320 (0.327) Data 0.001 (0.002) Loss 1.6238 (1.7504) Prec@1 62.500 (60.065) Prec@5 81.250 (81.556) Epoch: [54][1840/10010] Time 0.340 (0.327) Data 0.001 (0.002) Loss 1.8097 (1.7507) Prec@1 63.281 (60.068) Prec@5 78.906 (81.554) Epoch: [54][1850/10010] Time 0.315 (0.327) Data 0.001 (0.002) Loss 1.8378 (1.7510) Prec@1 56.250 (60.065) Prec@5 80.469 (81.549) Epoch: [54][1860/10010] Time 0.314 (0.327) Data 0.001 (0.002) Loss 1.5466 (1.7513) Prec@1 65.625 (60.065) Prec@5 81.250 (81.543) Epoch: [54][1870/10010] Time 0.325 (0.327) Data 0.000 (0.002) Loss 1.4722 (1.7512) Prec@1 64.844 (60.066) Prec@5 87.500 (81.546) Epoch: [54][1880/10010] Time 0.327 (0.327) Data 0.001 (0.002) Loss 1.6949 (1.7505) Prec@1 62.500 (60.079) Prec@5 81.250 (81.555) Epoch: [54][1890/10010] Time 0.319 (0.327) Data 0.001 (0.002) Loss 1.6699 (1.7502) Prec@1 59.375 (60.081) Prec@5 81.250 (81.558) Epoch: [54][1900/10010] Time 0.339 (0.327) Data 0.001 (0.002) Loss 1.7119 (1.7498) Prec@1 60.156 (60.093) Prec@5 81.250 (81.564) Epoch: [54][1910/10010] Time 0.323 (0.327) Data 0.000 (0.002) Loss 1.7638 (1.7499) Prec@1 57.812 (60.087) Prec@5 78.906 (81.559) Epoch: [54][1920/10010] Time 0.328 (0.327) Data 0.001 (0.002) Loss 1.6832 (1.7498) Prec@1 64.062 (60.088) Prec@5 84.375 (81.563) Epoch: [54][1930/10010] Time 0.338 (0.327) Data 0.001 (0.002) Loss 1.6528 (1.7505) Prec@1 60.938 (60.074) Prec@5 82.031 (81.552) Epoch: [54][1940/10010] Time 0.318 (0.327) Data 0.001 (0.002) Loss 1.7200 (1.7502) Prec@1 59.375 (60.078) Prec@5 81.250 (81.555) Epoch: [54][1950/10010] Time 0.325 (0.327) Data 0.000 (0.002) Loss 1.5730 (1.7506) Prec@1 62.500 (60.070) Prec@5 83.594 (81.547) Epoch: [54][1960/10010] Time 0.337 (0.327) Data 0.001 (0.002) Loss 1.6839 (1.7511) Prec@1 60.156 (60.049) Prec@5 85.938 (81.541) Epoch: [54][1970/10010] Time 0.340 (0.327) Data 0.001 (0.002) Loss 1.5762 (1.7509) Prec@1 63.281 (60.063) Prec@5 82.031 (81.539) Epoch: [54][1980/10010] Time 0.337 (0.327) Data 0.001 (0.002) Loss 1.6157 (1.7506) Prec@1 64.062 (60.068) Prec@5 84.375 (81.546) Epoch: [54][1990/10010] Time 0.313 (0.327) Data 0.000 (0.002) Loss 2.1496 (1.7508) Prec@1 54.688 (60.072) Prec@5 75.781 (81.545) Epoch: [54][2000/10010] Time 0.340 (0.327) Data 0.000 (0.002) Loss 1.6243 (1.7504) Prec@1 60.156 (60.073) Prec@5 82.812 (81.547) Epoch: [54][2010/10010] Time 0.309 (0.327) Data 0.000 (0.002) Loss 1.6087 (1.7506) Prec@1 64.062 (60.063) Prec@5 85.938 (81.554) Epoch: [54][2020/10010] Time 0.329 (0.327) Data 0.000 (0.002) Loss 1.8506 (1.7509) Prec@1 53.125 (60.048) Prec@5 79.688 (81.551) Epoch: [54][2030/10010] Time 0.316 (0.327) Data 0.000 (0.002) Loss 1.6666 (1.7506) Prec@1 60.938 (60.052) Prec@5 81.250 (81.557) Epoch: [54][2040/10010] Time 0.337 (0.327) Data 0.001 (0.002) Loss 1.6586 (1.7505) Prec@1 59.375 (60.050) Prec@5 85.156 (81.557) Epoch: [54][2050/10010] Time 0.334 (0.327) Data 0.001 (0.002) Loss 1.9847 (1.7504) Prec@1 60.156 (60.056) Prec@5 78.906 (81.555) Epoch: [54][2060/10010] Time 0.318 (0.327) Data 0.001 (0.002) Loss 1.7181 (1.7504) Prec@1 64.062 (60.058) Prec@5 80.469 (81.555) Epoch: [54][2070/10010] Time 0.323 (0.327) Data 0.001 (0.002) Loss 1.8569 (1.7503) Prec@1 62.500 (60.063) Prec@5 78.906 (81.558) Epoch: [54][2080/10010] Time 0.316 (0.327) Data 0.001 (0.002) Loss 1.6468 (1.7504) Prec@1 63.281 (60.060) Prec@5 83.594 (81.549) Epoch: [54][2090/10010] Time 0.336 (0.327) Data 0.001 (0.002) Loss 1.5651 (1.7500) Prec@1 65.625 (60.067) Prec@5 83.594 (81.556) Epoch: [54][2100/10010] Time 0.338 (0.327) Data 0.000 (0.002) Loss 1.8248 (1.7504) Prec@1 60.938 (60.060) Prec@5 79.688 (81.547) Epoch: [54][2110/10010] Time 0.339 (0.327) Data 0.001 (0.002) Loss 1.5833 (1.7502) Prec@1 62.500 (60.069) Prec@5 85.938 (81.550) Epoch: [54][2120/10010] Time 0.337 (0.327) Data 0.001 (0.002) Loss 1.9521 (1.7505) Prec@1 58.594 (60.066) Prec@5 78.906 (81.548) Epoch: [54][2130/10010] Time 0.328 (0.327) Data 0.000 (0.002) Loss 1.9537 (1.7500) Prec@1 60.156 (60.079) Prec@5 77.344 (81.552) Epoch: [54][2140/10010] Time 0.341 (0.327) Data 0.000 (0.002) Loss 1.5799 (1.7502) Prec@1 61.719 (60.073) Prec@5 81.250 (81.547) Epoch: [54][2150/10010] Time 0.330 (0.327) Data 0.001 (0.002) Loss 1.7730 (1.7503) Prec@1 59.375 (60.071) Prec@5 80.469 (81.546) Epoch: [54][2160/10010] Time 0.325 (0.327) Data 0.000 (0.002) Loss 1.5560 (1.7503) Prec@1 62.500 (60.069) Prec@5 84.375 (81.544) Epoch: [54][2170/10010] Time 0.330 (0.327) Data 0.001 (0.002) Loss 1.6512 (1.7505) Prec@1 63.281 (60.072) Prec@5 84.375 (81.545) Epoch: [54][2180/10010] Time 0.317 (0.327) Data 0.001 (0.002) Loss 1.4838 (1.7501) Prec@1 64.062 (60.079) Prec@5 88.281 (81.558) Epoch: [54][2190/10010] Time 0.323 (0.327) Data 0.000 (0.002) Loss 1.4916 (1.7501) Prec@1 64.062 (60.075) Prec@5 85.938 (81.561) Epoch: [54][2200/10010] Time 0.318 (0.327) Data 0.000 (0.002) Loss 1.8131 (1.7504) Prec@1 61.719 (60.076) Prec@5 79.688 (81.554) Epoch: [54][2210/10010] Time 0.341 (0.327) Data 0.000 (0.002) Loss 1.8267 (1.7501) Prec@1 54.688 (60.067) Prec@5 77.344 (81.555) Epoch: [54][2220/10010] Time 0.315 (0.327) Data 0.000 (0.002) Loss 2.0328 (1.7504) Prec@1 54.688 (60.060) Prec@5 78.125 (81.551) Epoch: [54][2230/10010] Time 0.321 (0.327) Data 0.000 (0.002) Loss 1.6184 (1.7502) Prec@1 64.062 (60.056) Prec@5 84.375 (81.556) Epoch: [54][2240/10010] Time 0.335 (0.327) Data 0.000 (0.002) Loss 1.7159 (1.7498) Prec@1 59.375 (60.058) Prec@5 82.031 (81.557) Epoch: [54][2250/10010] Time 0.322 (0.327) Data 0.001 (0.002) Loss 2.0111 (1.7496) Prec@1 53.125 (60.055) Prec@5 78.125 (81.563) Epoch: [54][2260/10010] Time 0.339 (0.327) Data 0.001 (0.002) Loss 1.6768 (1.7499) Prec@1 60.938 (60.048) Prec@5 82.031 (81.564) Epoch: [54][2270/10010] Time 0.333 (0.327) Data 0.001 (0.002) Loss 1.5678 (1.7499) Prec@1 65.625 (60.052) Prec@5 82.031 (81.564) Epoch: [54][2280/10010] Time 0.340 (0.327) Data 0.001 (0.002) Loss 1.5318 (1.7499) Prec@1 63.281 (60.045) Prec@5 85.156 (81.560) Epoch: [54][2290/10010] Time 0.340 (0.327) Data 0.000 (0.002) Loss 1.8015 (1.7500) Prec@1 62.500 (60.036) Prec@5 79.688 (81.559) Epoch: [54][2300/10010] Time 0.319 (0.327) Data 0.001 (0.002) Loss 1.5189 (1.7496) Prec@1 60.156 (60.045) Prec@5 80.469 (81.566) Epoch: [54][2310/10010] Time 0.329 (0.327) Data 0.000 (0.002) Loss 1.4283 (1.7493) Prec@1 62.500 (60.051) Prec@5 85.938 (81.566) Epoch: [54][2320/10010] Time 0.327 (0.327) Data 0.001 (0.002) Loss 1.7136 (1.7489) Prec@1 64.062 (60.060) Prec@5 83.594 (81.575) Epoch: [54][2330/10010] Time 0.321 (0.327) Data 0.000 (0.002) Loss 1.9154 (1.7486) Prec@1 57.812 (60.066) Prec@5 76.562 (81.580) Epoch: [54][2340/10010] Time 0.340 (0.327) Data 0.001 (0.002) Loss 1.5781 (1.7488) Prec@1 61.719 (60.066) Prec@5 85.156 (81.578) Epoch: [54][2350/10010] Time 0.314 (0.327) Data 0.001 (0.002) Loss 1.7454 (1.7487) Prec@1 67.969 (60.066) Prec@5 82.812 (81.576) Epoch: [54][2360/10010] Time 0.318 (0.327) Data 0.001 (0.002) Loss 1.8174 (1.7487) Prec@1 54.688 (60.065) Prec@5 80.469 (81.579) Epoch: [54][2370/10010] Time 0.331 (0.327) Data 0.000 (0.002) Loss 1.8673 (1.7486) Prec@1 55.469 (60.068) Prec@5 81.250 (81.580) Epoch: [54][2380/10010] Time 0.318 (0.327) Data 0.001 (0.002) Loss 1.7258 (1.7483) Prec@1 57.812 (60.066) Prec@5 81.250 (81.587) Epoch: [54][2390/10010] Time 0.321 (0.327) Data 0.001 (0.002) Loss 1.8622 (1.7485) Prec@1 57.031 (60.063) Prec@5 78.906 (81.587) Epoch: [54][2400/10010] Time 0.333 (0.327) Data 0.000 (0.002) Loss 1.5309 (1.7484) Prec@1 67.188 (60.063) Prec@5 85.156 (81.587) Epoch: [54][2410/10010] Time 0.339 (0.327) Data 0.001 (0.002) Loss 1.5520 (1.7483) Prec@1 61.719 (60.066) Prec@5 87.500 (81.595) Epoch: [54][2420/10010] Time 0.319 (0.327) Data 0.001 (0.002) Loss 1.7828 (1.7484) Prec@1 65.625 (60.075) Prec@5 79.688 (81.596) Epoch: [54][2430/10010] Time 0.314 (0.327) Data 0.001 (0.002) Loss 1.8523 (1.7486) Prec@1 53.906 (60.074) Prec@5 78.906 (81.595) Epoch: [54][2440/10010] Time 0.336 (0.327) Data 0.001 (0.002) Loss 1.9050 (1.7492) Prec@1 64.844 (60.067) Prec@5 80.469 (81.582) Epoch: [54][2450/10010] Time 0.338 (0.327) Data 0.000 (0.002) Loss 1.9571 (1.7492) Prec@1 55.469 (60.071) Prec@5 74.219 (81.578) Epoch: [54][2460/10010] Time 0.335 (0.327) Data 0.001 (0.002) Loss 1.6935 (1.7491) Prec@1 58.594 (60.070) Prec@5 82.812 (81.578) Epoch: [54][2470/10010] Time 0.313 (0.327) Data 0.001 (0.002) Loss 1.5998 (1.7492) Prec@1 62.500 (60.070) Prec@5 82.812 (81.578) Epoch: [54][2480/10010] Time 0.332 (0.327) Data 0.000 (0.002) Loss 1.6060 (1.7490) Prec@1 62.500 (60.071) Prec@5 83.594 (81.580) Epoch: [54][2490/10010] Time 0.311 (0.327) Data 0.001 (0.002) Loss 1.5245 (1.7489) Prec@1 61.719 (60.069) Prec@5 88.281 (81.582) Epoch: [54][2500/10010] Time 0.337 (0.327) Data 0.000 (0.002) Loss 1.5833 (1.7493) Prec@1 60.938 (60.056) Prec@5 82.812 (81.578) Epoch: [54][2510/10010] Time 0.318 (0.327) Data 0.001 (0.002) Loss 1.9246 (1.7491) Prec@1 55.469 (60.059) Prec@5 73.438 (81.579) Epoch: [54][2520/10010] Time 0.326 (0.327) Data 0.001 (0.002) Loss 1.7018 (1.7492) Prec@1 59.375 (60.057) Prec@5 83.594 (81.578) Epoch: [54][2530/10010] Time 0.335 (0.327) Data 0.000 (0.002) Loss 1.4584 (1.7491) Prec@1 63.281 (60.053) Prec@5 87.500 (81.579) Epoch: [54][2540/10010] Time 0.309 (0.327) Data 0.001 (0.002) Loss 1.7322 (1.7493) Prec@1 60.938 (60.050) Prec@5 81.250 (81.573) Epoch: [54][2550/10010] Time 0.341 (0.327) Data 0.001 (0.002) Loss 1.7060 (1.7490) Prec@1 59.375 (60.054) Prec@5 81.250 (81.569) Epoch: [54][2560/10010] Time 0.339 (0.327) Data 0.001 (0.002) Loss 1.7016 (1.7492) Prec@1 62.500 (60.049) Prec@5 78.125 (81.567) Epoch: [54][2570/10010] Time 0.320 (0.327) Data 0.001 (0.002) Loss 1.8315 (1.7493) Prec@1 57.812 (60.053) Prec@5 76.562 (81.560) Epoch: [54][2580/10010] Time 0.323 (0.327) Data 0.001 (0.002) Loss 1.4380 (1.7491) Prec@1 65.625 (60.057) Prec@5 87.500 (81.564) Epoch: [54][2590/10010] Time 0.333 (0.327) Data 0.001 (0.002) Loss 1.5610 (1.7492) Prec@1 60.156 (60.059) Prec@5 84.375 (81.559) Epoch: [54][2600/10010] Time 0.331 (0.327) Data 0.000 (0.002) Loss 1.5305 (1.7492) Prec@1 64.844 (60.065) Prec@5 87.500 (81.555) Epoch: [54][2610/10010] Time 0.338 (0.327) Data 0.001 (0.002) Loss 1.7644 (1.7492) Prec@1 62.500 (60.066) Prec@5 78.125 (81.558) Epoch: [54][2620/10010] Time 0.337 (0.327) Data 0.001 (0.002) Loss 1.6347 (1.7488) Prec@1 62.500 (60.070) Prec@5 85.938 (81.562) Epoch: [54][2630/10010] Time 0.315 (0.327) Data 0.001 (0.002) Loss 1.8571 (1.7489) Prec@1 57.812 (60.064) Prec@5 78.906 (81.564) Epoch: [54][2640/10010] Time 0.323 (0.327) Data 0.001 (0.002) Loss 1.9589 (1.7490) Prec@1 57.031 (60.061) Prec@5 77.344 (81.565) Epoch: [54][2650/10010] Time 0.311 (0.327) Data 0.001 (0.002) Loss 1.9034 (1.7492) Prec@1 56.250 (60.055) Prec@5 74.219 (81.562) Epoch: [54][2660/10010] Time 0.338 (0.327) Data 0.001 (0.002) Loss 1.5221 (1.7489) Prec@1 63.281 (60.062) Prec@5 82.031 (81.567) Epoch: [54][2670/10010] Time 0.337 (0.327) Data 0.001 (0.002) Loss 1.7450 (1.7491) Prec@1 60.938 (60.056) Prec@5 81.250 (81.564) Epoch: [54][2680/10010] Time 0.340 (0.327) Data 0.000 (0.002) Loss 1.7427 (1.7491) Prec@1 59.375 (60.056) Prec@5 82.031 (81.565) Epoch: [54][2690/10010] Time 0.341 (0.327) Data 0.000 (0.002) Loss 1.7042 (1.7494) Prec@1 62.500 (60.056) Prec@5 82.031 (81.557) Epoch: [54][2700/10010] Time 0.339 (0.327) Data 0.001 (0.002) Loss 1.9021 (1.7493) Prec@1 59.375 (60.056) Prec@5 80.469 (81.557) Epoch: [54][2710/10010] Time 0.315 (0.327) Data 0.001 (0.002) Loss 1.8406 (1.7492) Prec@1 55.469 (60.054) Prec@5 80.469 (81.559) Epoch: [54][2720/10010] Time 0.315 (0.327) Data 0.001 (0.002) Loss 1.7419 (1.7491) Prec@1 63.281 (60.056) Prec@5 81.250 (81.562) Epoch: [54][2730/10010] Time 0.318 (0.327) Data 0.001 (0.002) Loss 1.6764 (1.7490) Prec@1 64.062 (60.058) Prec@5 84.375 (81.564) Epoch: [54][2740/10010] Time 0.315 (0.327) Data 0.001 (0.002) Loss 1.7507 (1.7491) Prec@1 62.500 (60.055) Prec@5 81.250 (81.560) Epoch: [54][2750/10010] Time 0.342 (0.327) Data 0.001 (0.002) Loss 1.4775 (1.7490) Prec@1 60.156 (60.056) Prec@5 85.938 (81.563) Epoch: [54][2760/10010] Time 0.326 (0.327) Data 0.001 (0.002) Loss 1.8956 (1.7490) Prec@1 56.250 (60.055) Prec@5 82.031 (81.565) Epoch: [54][2770/10010] Time 0.329 (0.327) Data 0.001 (0.001) Loss 1.9213 (1.7491) Prec@1 57.812 (60.047) Prec@5 72.656 (81.562) Epoch: [54][2780/10010] Time 0.313 (0.327) Data 0.001 (0.001) Loss 1.7291 (1.7493) Prec@1 60.156 (60.043) Prec@5 82.812 (81.561) Epoch: [54][2790/10010] Time 0.322 (0.327) Data 0.001 (0.001) Loss 1.8430 (1.7497) Prec@1 53.906 (60.041) Prec@5 79.688 (81.551) Epoch: [54][2800/10010] Time 0.322 (0.327) Data 0.001 (0.001) Loss 1.4659 (1.7496) Prec@1 60.156 (60.036) Prec@5 85.938 (81.550) Epoch: [54][2810/10010] Time 0.330 (0.327) Data 0.001 (0.001) Loss 1.6987 (1.7495) Prec@1 58.594 (60.037) Prec@5 82.812 (81.548) Epoch: [54][2820/10010] Time 0.320 (0.327) Data 0.000 (0.001) Loss 1.9937 (1.7499) Prec@1 59.375 (60.034) Prec@5 75.781 (81.542) Epoch: [54][2830/10010] Time 0.330 (0.327) Data 0.001 (0.001) Loss 1.5785 (1.7504) Prec@1 64.062 (60.025) Prec@5 83.594 (81.531) Epoch: [54][2840/10010] Time 0.319 (0.327) Data 0.000 (0.001) Loss 1.8807 (1.7504) Prec@1 56.250 (60.026) Prec@5 80.469 (81.535) Epoch: [54][2850/10010] Time 0.318 (0.327) Data 0.001 (0.001) Loss 1.8470 (1.7502) Prec@1 59.375 (60.033) Prec@5 78.906 (81.535) Epoch: [54][2860/10010] Time 0.317 (0.327) Data 0.001 (0.001) Loss 1.6548 (1.7503) Prec@1 59.375 (60.028) Prec@5 80.469 (81.538) Epoch: [54][2870/10010] Time 0.319 (0.327) Data 0.001 (0.001) Loss 1.9708 (1.7506) Prec@1 56.250 (60.024) Prec@5 76.562 (81.537) Epoch: [54][2880/10010] Time 0.337 (0.327) Data 0.001 (0.001) Loss 2.1078 (1.7509) Prec@1 52.344 (60.017) Prec@5 75.781 (81.532) Epoch: [54][2890/10010] Time 0.322 (0.327) Data 0.000 (0.001) Loss 1.7192 (1.7511) Prec@1 58.594 (60.007) Prec@5 83.594 (81.530) Epoch: [54][2900/10010] Time 0.320 (0.327) Data 0.000 (0.001) Loss 1.7211 (1.7515) Prec@1 60.938 (60.005) Prec@5 83.594 (81.525) Epoch: [54][2910/10010] Time 0.320 (0.327) Data 0.001 (0.001) Loss 1.8941 (1.7516) Prec@1 52.344 (60.004) Prec@5 80.469 (81.526) Epoch: [54][2920/10010] Time 0.327 (0.327) Data 0.000 (0.001) Loss 1.8457 (1.7513) Prec@1 59.375 (60.004) Prec@5 80.469 (81.529) Epoch: [54][2930/10010] Time 0.339 (0.327) Data 0.000 (0.001) Loss 2.0654 (1.7514) Prec@1 51.562 (60.003) Prec@5 78.906 (81.526) Epoch: [54][2940/10010] Time 0.318 (0.327) Data 0.001 (0.001) Loss 1.8876 (1.7513) Prec@1 55.469 (60.003) Prec@5 79.688 (81.528) Epoch: [54][2950/10010] Time 0.312 (0.327) Data 0.001 (0.001) Loss 1.6705 (1.7512) Prec@1 60.156 (60.005) Prec@5 81.250 (81.531) Epoch: [54][2960/10010] Time 0.318 (0.327) Data 0.001 (0.001) Loss 2.0641 (1.7512) Prec@1 60.938 (60.008) Prec@5 75.781 (81.532) Epoch: [54][2970/10010] Time 0.343 (0.327) Data 0.000 (0.001) Loss 1.9562 (1.7512) Prec@1 53.906 (60.004) Prec@5 76.562 (81.532) Epoch: [54][2980/10010] Time 0.339 (0.327) Data 0.001 (0.001) Loss 1.8876 (1.7509) Prec@1 56.250 (60.009) Prec@5 78.125 (81.532) Epoch: [54][2990/10010] Time 0.324 (0.327) Data 0.001 (0.001) Loss 2.2233 (1.7512) Prec@1 49.219 (60.004) Prec@5 74.219 (81.528) Epoch: [54][3000/10010] Time 0.336 (0.327) Data 0.001 (0.001) Loss 1.6791 (1.7514) Prec@1 62.500 (59.998) Prec@5 83.594 (81.527) Epoch: [54][3010/10010] Time 0.337 (0.327) Data 0.001 (0.001) Loss 1.3585 (1.7515) Prec@1 69.531 (60.000) Prec@5 86.719 (81.523) Epoch: [54][3020/10010] Time 0.332 (0.327) Data 0.001 (0.001) Loss 1.7761 (1.7521) Prec@1 64.844 (59.996) Prec@5 80.469 (81.517) Epoch: [54][3030/10010] Time 0.317 (0.327) Data 0.001 (0.001) Loss 1.7422 (1.7519) Prec@1 61.719 (60.000) Prec@5 78.906 (81.518) Epoch: [54][3040/10010] Time 0.325 (0.327) Data 0.000 (0.001) Loss 1.5151 (1.7518) Prec@1 61.719 (60.001) Prec@5 86.719 (81.517) Epoch: [54][3050/10010] Time 0.319 (0.327) Data 0.001 (0.001) Loss 1.4861 (1.7519) Prec@1 60.938 (59.997) Prec@5 86.719 (81.517) Epoch: [54][3060/10010] Time 0.326 (0.327) Data 0.001 (0.001) Loss 1.7108 (1.7518) Prec@1 56.250 (59.996) Prec@5 82.812 (81.521) Epoch: [54][3070/10010] Time 0.317 (0.327) Data 0.001 (0.001) Loss 1.6838 (1.7519) Prec@1 60.156 (59.989) Prec@5 79.688 (81.515) Epoch: [54][3080/10010] Time 0.341 (0.327) Data 0.000 (0.001) Loss 1.9212 (1.7522) Prec@1 58.594 (59.983) Prec@5 80.469 (81.508) Epoch: [54][3090/10010] Time 0.324 (0.327) Data 0.000 (0.001) Loss 1.3319 (1.7518) Prec@1 67.969 (59.991) Prec@5 87.500 (81.514) Epoch: [54][3100/10010] Time 0.314 (0.327) Data 0.001 (0.001) Loss 1.8100 (1.7519) Prec@1 57.812 (59.992) Prec@5 82.031 (81.512) Epoch: [54][3110/10010] Time 0.332 (0.327) Data 0.000 (0.001) Loss 1.6302 (1.7519) Prec@1 57.812 (59.992) Prec@5 82.812 (81.509) Epoch: [54][3120/10010] Time 0.336 (0.327) Data 0.001 (0.001) Loss 1.4578 (1.7516) Prec@1 66.406 (59.999) Prec@5 87.500 (81.515) Epoch: [54][3130/10010] Time 0.333 (0.327) Data 0.001 (0.001) Loss 1.7740 (1.7516) Prec@1 56.250 (59.998) Prec@5 82.812 (81.516) Epoch: [54][3140/10010] Time 0.325 (0.327) Data 0.000 (0.001) Loss 1.8696 (1.7518) Prec@1 61.719 (60.001) Prec@5 78.125 (81.511) Epoch: [54][3150/10010] Time 0.324 (0.327) Data 0.001 (0.001) Loss 1.6825 (1.7515) Prec@1 60.938 (60.002) Prec@5 78.906 (81.513) Epoch: [54][3160/10010] Time 0.321 (0.327) Data 0.001 (0.001) Loss 1.5368 (1.7514) Prec@1 60.938 (59.998) Prec@5 87.500 (81.515) Epoch: [54][3170/10010] Time 0.330 (0.327) Data 0.001 (0.001) Loss 1.9470 (1.7514) Prec@1 60.156 (59.995) Prec@5 76.562 (81.518) Epoch: [54][3180/10010] Time 0.333 (0.327) Data 0.000 (0.001) Loss 1.4919 (1.7513) Prec@1 63.281 (59.996) Prec@5 86.719 (81.519) Epoch: [54][3190/10010] Time 0.323 (0.327) Data 0.000 (0.001) Loss 1.6190 (1.7512) Prec@1 63.281 (59.999) Prec@5 81.250 (81.521) Epoch: [54][3200/10010] Time 0.334 (0.327) Data 0.000 (0.001) Loss 1.7324 (1.7514) Prec@1 57.812 (59.996) Prec@5 80.469 (81.517) Epoch: [54][3210/10010] Time 0.318 (0.327) Data 0.000 (0.001) Loss 1.7178 (1.7515) Prec@1 64.062 (60.000) Prec@5 80.469 (81.516) Epoch: [54][3220/10010] Time 0.328 (0.327) Data 0.001 (0.001) Loss 1.6377 (1.7514) Prec@1 61.719 (60.008) Prec@5 84.375 (81.517) Epoch: [54][3230/10010] Time 0.336 (0.327) Data 0.001 (0.001) Loss 1.3888 (1.7512) Prec@1 67.969 (60.014) Prec@5 89.062 (81.521) Epoch: [54][3240/10010] Time 0.325 (0.327) Data 0.000 (0.001) Loss 1.6654 (1.7511) Prec@1 65.625 (60.017) Prec@5 81.250 (81.525) Epoch: [54][3250/10010] Time 0.339 (0.327) Data 0.001 (0.001) Loss 1.9101 (1.7510) Prec@1 56.250 (60.019) Prec@5 80.469 (81.529) Epoch: [54][3260/10010] Time 0.320 (0.327) Data 0.001 (0.001) Loss 1.8570 (1.7512) Prec@1 57.031 (60.013) Prec@5 78.906 (81.527) Epoch: [54][3270/10010] Time 0.328 (0.327) Data 0.000 (0.001) Loss 1.7764 (1.7510) Prec@1 59.375 (60.015) Prec@5 80.469 (81.531) Epoch: [54][3280/10010] Time 0.319 (0.327) Data 0.000 (0.001) Loss 1.7959 (1.7512) Prec@1 62.500 (60.013) Prec@5 81.250 (81.529) Epoch: [54][3290/10010] Time 0.341 (0.327) Data 0.001 (0.001) Loss 1.7647 (1.7513) Prec@1 60.156 (60.016) Prec@5 82.031 (81.529) Epoch: [54][3300/10010] Time 0.337 (0.327) Data 0.000 (0.001) Loss 1.7433 (1.7515) Prec@1 57.031 (60.012) Prec@5 82.812 (81.528) Epoch: [54][3310/10010] Time 0.336 (0.327) Data 0.000 (0.001) Loss 1.4249 (1.7512) Prec@1 66.406 (60.013) Prec@5 85.938 (81.528) Epoch: [54][3320/10010] Time 0.318 (0.327) Data 0.001 (0.001) Loss 1.7538 (1.7515) Prec@1 60.156 (60.011) Prec@5 80.469 (81.525) Epoch: [54][3330/10010] Time 0.323 (0.327) Data 0.000 (0.001) Loss 1.5663 (1.7515) Prec@1 67.188 (60.012) Prec@5 81.250 (81.526) Epoch: [54][3340/10010] Time 0.338 (0.327) Data 0.001 (0.001) Loss 1.8944 (1.7520) Prec@1 57.031 (60.004) Prec@5 81.250 (81.517) Epoch: [54][3350/10010] Time 0.322 (0.327) Data 0.001 (0.001) Loss 1.5670 (1.7522) Prec@1 60.156 (60.003) Prec@5 81.250 (81.516) Epoch: [54][3360/10010] Time 0.342 (0.327) Data 0.001 (0.001) Loss 1.6826 (1.7522) Prec@1 61.719 (59.997) Prec@5 80.469 (81.516) Epoch: [54][3370/10010] Time 0.323 (0.327) Data 0.000 (0.001) Loss 1.4562 (1.7521) Prec@1 64.062 (59.995) Prec@5 88.281 (81.520) Epoch: [54][3380/10010] Time 0.315 (0.327) Data 0.001 (0.001) Loss 1.4895 (1.7520) Prec@1 68.750 (59.996) Prec@5 86.719 (81.523) Epoch: [54][3390/10010] Time 0.335 (0.327) Data 0.001 (0.001) Loss 2.1638 (1.7520) Prec@1 54.688 (60.001) Prec@5 75.781 (81.518) Epoch: [54][3400/10010] Time 0.335 (0.327) Data 0.000 (0.001) Loss 1.6026 (1.7520) Prec@1 66.406 (60.006) Prec@5 82.031 (81.518) Epoch: [54][3410/10010] Time 0.341 (0.327) Data 0.000 (0.001) Loss 2.0422 (1.7521) Prec@1 57.812 (60.001) Prec@5 76.562 (81.514) Epoch: [54][3420/10010] Time 0.316 (0.327) Data 0.001 (0.001) Loss 1.6410 (1.7521) Prec@1 59.375 (60.006) Prec@5 83.594 (81.515) Epoch: [54][3430/10010] Time 0.322 (0.327) Data 0.001 (0.001) Loss 1.6114 (1.7522) Prec@1 58.594 (60.001) Prec@5 84.375 (81.513) Epoch: [54][3440/10010] Time 0.339 (0.327) Data 0.001 (0.001) Loss 1.8895 (1.7523) Prec@1 57.031 (59.999) Prec@5 76.562 (81.513) Epoch: [54][3450/10010] Time 0.317 (0.327) Data 0.001 (0.001) Loss 1.6604 (1.7524) Prec@1 57.031 (59.988) Prec@5 85.938 (81.514) Epoch: [54][3460/10010] Time 0.341 (0.327) Data 0.001 (0.001) Loss 1.8535 (1.7527) Prec@1 55.469 (59.990) Prec@5 82.031 (81.509) Epoch: [54][3470/10010] Time 0.318 (0.327) Data 0.001 (0.001) Loss 1.5093 (1.7529) Prec@1 68.750 (59.991) Prec@5 87.500 (81.504) Epoch: [54][3480/10010] Time 0.318 (0.327) Data 0.001 (0.001) Loss 1.9156 (1.7528) Prec@1 59.375 (59.994) Prec@5 79.688 (81.507) Epoch: [54][3490/10010] Time 0.316 (0.327) Data 0.001 (0.001) Loss 1.7416 (1.7531) Prec@1 64.062 (59.994) Prec@5 82.812 (81.502) Epoch: [54][3500/10010] Time 0.337 (0.327) Data 0.000 (0.001) Loss 1.5768 (1.7530) Prec@1 64.062 (60.000) Prec@5 84.375 (81.504) Epoch: [54][3510/10010] Time 0.338 (0.327) Data 0.001 (0.001) Loss 1.9854 (1.7531) Prec@1 57.812 (59.998) Prec@5 77.344 (81.500) Epoch: [54][3520/10010] Time 0.335 (0.327) Data 0.001 (0.001) Loss 1.6335 (1.7532) Prec@1 62.500 (59.998) Prec@5 84.375 (81.499) Epoch: [54][3530/10010] Time 0.341 (0.327) Data 0.000 (0.001) Loss 1.6797 (1.7531) Prec@1 57.031 (59.999) Prec@5 85.938 (81.499) Epoch: [54][3540/10010] Time 0.329 (0.327) Data 0.001 (0.001) Loss 1.7286 (1.7530) Prec@1 60.938 (60.002) Prec@5 82.812 (81.500) Epoch: [54][3550/10010] Time 0.337 (0.327) Data 0.001 (0.001) Loss 1.7136 (1.7532) Prec@1 60.938 (59.998) Prec@5 82.812 (81.496) Epoch: [54][3560/10010] Time 0.328 (0.327) Data 0.000 (0.001) Loss 2.1140 (1.7535) Prec@1 54.688 (59.994) Prec@5 78.906 (81.494) Epoch: [54][3570/10010] Time 0.333 (0.327) Data 0.000 (0.001) Loss 1.7259 (1.7536) Prec@1 60.156 (59.992) Prec@5 82.812 (81.497) Epoch: [54][3580/10010] Time 0.320 (0.327) Data 0.001 (0.001) Loss 1.7297 (1.7537) Prec@1 59.375 (59.992) Prec@5 81.250 (81.493) Epoch: [54][3590/10010] Time 0.339 (0.327) Data 0.001 (0.001) Loss 1.6118 (1.7537) Prec@1 65.625 (59.990) Prec@5 80.469 (81.495) Epoch: [54][3600/10010] Time 0.342 (0.327) Data 0.000 (0.001) Loss 1.7776 (1.7538) Prec@1 60.938 (59.991) Prec@5 79.688 (81.494) Epoch: [54][3610/10010] Time 0.339 (0.327) Data 0.001 (0.001) Loss 1.8605 (1.7538) Prec@1 58.594 (59.989) Prec@5 78.906 (81.494) Epoch: [54][3620/10010] Time 0.335 (0.327) Data 0.001 (0.001) Loss 2.0231 (1.7538) Prec@1 53.125 (59.986) Prec@5 75.781 (81.493) Epoch: [54][3630/10010] Time 0.316 (0.327) Data 0.001 (0.001) Loss 1.6418 (1.7540) Prec@1 66.406 (59.981) Prec@5 82.031 (81.490) Epoch: [54][3640/10010] Time 0.336 (0.327) Data 0.001 (0.001) Loss 1.7034 (1.7540) Prec@1 60.938 (59.978) Prec@5 82.031 (81.490) Epoch: [54][3650/10010] Time 0.336 (0.327) Data 0.001 (0.001) Loss 1.6884 (1.7540) Prec@1 61.719 (59.979) Prec@5 82.031 (81.490) Epoch: [54][3660/10010] Time 0.315 (0.327) Data 0.001 (0.001) Loss 1.4260 (1.7544) Prec@1 64.062 (59.973) Prec@5 92.188 (81.487) Epoch: [54][3670/10010] Time 0.330 (0.327) Data 0.001 (0.001) Loss 1.7970 (1.7547) Prec@1 57.812 (59.968) Prec@5 82.031 (81.482) Epoch: [54][3680/10010] Time 0.342 (0.327) Data 0.001 (0.001) Loss 1.7410 (1.7547) Prec@1 53.125 (59.966) Prec@5 85.156 (81.482) Epoch: [54][3690/10010] Time 0.327 (0.327) Data 0.001 (0.001) Loss 1.5014 (1.7547) Prec@1 66.406 (59.961) Prec@5 84.375 (81.483) Epoch: [54][3700/10010] Time 0.337 (0.327) Data 0.001 (0.001) Loss 1.6962 (1.7545) Prec@1 61.719 (59.964) Prec@5 79.688 (81.486) Epoch: [54][3710/10010] Time 0.311 (0.327) Data 0.000 (0.001) Loss 2.1184 (1.7547) Prec@1 59.375 (59.963) Prec@5 74.219 (81.482) Epoch: [54][3720/10010] Time 0.333 (0.327) Data 0.001 (0.001) Loss 2.0237 (1.7550) Prec@1 53.906 (59.958) Prec@5 77.344 (81.480) Epoch: [54][3730/10010] Time 0.342 (0.327) Data 0.000 (0.001) Loss 1.6811 (1.7550) Prec@1 59.375 (59.956) Prec@5 84.375 (81.480) Epoch: [54][3740/10010] Time 0.336 (0.327) Data 0.001 (0.001) Loss 1.6753 (1.7549) Prec@1 64.062 (59.959) Prec@5 84.375 (81.482) Epoch: [54][3750/10010] Time 0.320 (0.327) Data 0.001 (0.001) Loss 2.3192 (1.7552) Prec@1 54.688 (59.956) Prec@5 68.750 (81.477) Epoch: [54][3760/10010] Time 0.334 (0.327) Data 0.001 (0.001) Loss 1.8926 (1.7553) Prec@1 58.594 (59.955) Prec@5 80.469 (81.475) Epoch: [54][3770/10010] Time 0.338 (0.328) Data 0.001 (0.001) Loss 1.8183 (1.7552) Prec@1 57.812 (59.956) Prec@5 79.688 (81.476) Epoch: [54][3780/10010] Time 0.317 (0.328) Data 0.001 (0.001) Loss 1.6692 (1.7554) Prec@1 61.719 (59.954) Prec@5 82.812 (81.474) Epoch: [54][3790/10010] Time 0.318 (0.328) Data 0.001 (0.001) Loss 1.7438 (1.7554) Prec@1 63.281 (59.953) Prec@5 81.250 (81.473) Epoch: [54][3800/10010] Time 0.316 (0.327) Data 0.001 (0.001) Loss 1.7681 (1.7555) Prec@1 63.281 (59.952) Prec@5 78.906 (81.472) Epoch: [54][3810/10010] Time 0.342 (0.327) Data 0.000 (0.001) Loss 1.7184 (1.7552) Prec@1 58.594 (59.954) Prec@5 85.156 (81.477) Epoch: [54][3820/10010] Time 0.338 (0.327) Data 0.000 (0.001) Loss 1.9858 (1.7555) Prec@1 56.250 (59.944) Prec@5 78.906 (81.474) Epoch: [54][3830/10010] Time 0.339 (0.328) Data 0.000 (0.001) Loss 1.6025 (1.7555) Prec@1 66.406 (59.943) Prec@5 81.250 (81.474) Epoch: [54][3840/10010] Time 0.319 (0.328) Data 0.000 (0.001) Loss 1.5103 (1.7555) Prec@1 63.281 (59.939) Prec@5 84.375 (81.471) Epoch: [54][3850/10010] Time 0.337 (0.328) Data 0.000 (0.001) Loss 1.8915 (1.7555) Prec@1 64.062 (59.939) Prec@5 79.688 (81.471) Epoch: [54][3860/10010] Time 0.320 (0.328) Data 0.001 (0.001) Loss 2.0548 (1.7555) Prec@1 56.250 (59.938) Prec@5 78.125 (81.472) Epoch: [54][3870/10010] Time 0.339 (0.328) Data 0.000 (0.001) Loss 1.6767 (1.7555) Prec@1 64.844 (59.940) Prec@5 81.250 (81.471) Epoch: [54][3880/10010] Time 0.333 (0.328) Data 0.001 (0.001) Loss 1.7510 (1.7557) Prec@1 60.156 (59.936) Prec@5 82.031 (81.469) Epoch: [54][3890/10010] Time 0.340 (0.328) Data 0.001 (0.001) Loss 1.7413 (1.7557) Prec@1 61.719 (59.934) Prec@5 81.250 (81.469) Epoch: [54][3900/10010] Time 0.316 (0.328) Data 0.001 (0.001) Loss 1.8378 (1.7557) Prec@1 56.250 (59.932) Prec@5 81.250 (81.467) Epoch: [54][3910/10010] Time 0.339 (0.328) Data 0.000 (0.001) Loss 1.4002 (1.7558) Prec@1 65.625 (59.932) Prec@5 87.500 (81.466) Epoch: [54][3920/10010] Time 0.319 (0.328) Data 0.001 (0.001) Loss 1.7828 (1.7560) Prec@1 63.281 (59.925) Prec@5 78.125 (81.461) Epoch: [54][3930/10010] Time 0.321 (0.328) Data 0.000 (0.001) Loss 1.6546 (1.7561) Prec@1 59.375 (59.921) Prec@5 83.594 (81.461) Epoch: [54][3940/10010] Time 0.312 (0.328) Data 0.001 (0.001) Loss 1.6824 (1.7564) Prec@1 57.812 (59.913) Prec@5 83.594 (81.456) Epoch: [54][3950/10010] Time 0.329 (0.328) Data 0.000 (0.001) Loss 1.8006 (1.7561) Prec@1 55.469 (59.920) Prec@5 81.250 (81.461) Epoch: [54][3960/10010] Time 0.323 (0.328) Data 0.000 (0.001) Loss 2.0729 (1.7562) Prec@1 57.031 (59.917) Prec@5 78.906 (81.464) Epoch: [54][3970/10010] Time 0.337 (0.328) Data 0.000 (0.001) Loss 1.7706 (1.7563) Prec@1 60.938 (59.918) Prec@5 79.688 (81.463) Epoch: [54][3980/10010] Time 0.321 (0.328) Data 0.001 (0.001) Loss 1.7144 (1.7562) Prec@1 59.375 (59.921) Prec@5 78.906 (81.462) Epoch: [54][3990/10010] Time 0.322 (0.328) Data 0.001 (0.001) Loss 1.6800 (1.7561) Prec@1 63.281 (59.923) Prec@5 82.812 (81.465) Epoch: [54][4000/10010] Time 0.336 (0.328) Data 0.000 (0.001) Loss 1.9612 (1.7563) Prec@1 57.031 (59.919) Prec@5 74.219 (81.462) Epoch: [54][4010/10010] Time 0.327 (0.328) Data 0.001 (0.001) Loss 1.8113 (1.7563) Prec@1 64.062 (59.921) Prec@5 82.812 (81.464) Epoch: [54][4020/10010] Time 0.316 (0.328) Data 0.001 (0.001) Loss 1.5165 (1.7563) Prec@1 57.812 (59.920) Prec@5 85.938 (81.468) Epoch: [54][4030/10010] Time 0.310 (0.327) Data 0.001 (0.001) Loss 2.0324 (1.7565) Prec@1 56.250 (59.917) Prec@5 76.562 (81.465) Epoch: [54][4040/10010] Time 0.323 (0.327) Data 0.000 (0.001) Loss 1.7833 (1.7564) Prec@1 58.594 (59.921) Prec@5 82.031 (81.467) Epoch: [54][4050/10010] Time 0.340 (0.327) Data 0.000 (0.001) Loss 1.5737 (1.7563) Prec@1 64.844 (59.923) Prec@5 85.938 (81.469) Epoch: [54][4060/10010] Time 0.339 (0.327) Data 0.001 (0.001) Loss 1.6059 (1.7562) Prec@1 66.406 (59.924) Prec@5 82.031 (81.470) Epoch: [54][4070/10010] Time 0.326 (0.327) Data 0.001 (0.001) Loss 1.8198 (1.7564) Prec@1 57.812 (59.925) Prec@5 78.125 (81.467) Epoch: [54][4080/10010] Time 0.319 (0.327) Data 0.001 (0.001) Loss 1.6961 (1.7565) Prec@1 58.594 (59.923) Prec@5 78.906 (81.467) Epoch: [54][4090/10010] Time 0.332 (0.327) Data 0.001 (0.001) Loss 2.2172 (1.7567) Prec@1 54.688 (59.922) Prec@5 73.438 (81.462) Epoch: [54][4100/10010] Time 0.332 (0.327) Data 0.001 (0.001) Loss 1.8524 (1.7567) Prec@1 57.031 (59.923) Prec@5 80.469 (81.461) Epoch: [54][4110/10010] Time 0.330 (0.327) Data 0.001 (0.001) Loss 1.6568 (1.7569) Prec@1 59.375 (59.920) Prec@5 85.938 (81.462) Epoch: [54][4120/10010] Time 0.317 (0.327) Data 0.000 (0.001) Loss 1.7550 (1.7570) Prec@1 60.938 (59.919) Prec@5 83.594 (81.459) Epoch: [54][4130/10010] Time 0.331 (0.327) Data 0.001 (0.001) Loss 1.8504 (1.7572) Prec@1 53.125 (59.910) Prec@5 82.031 (81.459) Epoch: [54][4140/10010] Time 0.320 (0.327) Data 0.001 (0.001) Loss 1.7702 (1.7575) Prec@1 59.375 (59.906) Prec@5 79.688 (81.454) Epoch: [54][4150/10010] Time 0.327 (0.327) Data 0.001 (0.001) Loss 1.8370 (1.7575) Prec@1 57.031 (59.907) Prec@5 81.250 (81.458) Epoch: [54][4160/10010] Time 0.312 (0.327) Data 0.001 (0.001) Loss 1.7376 (1.7576) Prec@1 57.812 (59.903) Prec@5 82.031 (81.458) Epoch: [54][4170/10010] Time 0.322 (0.327) Data 0.000 (0.001) Loss 2.0601 (1.7577) Prec@1 53.125 (59.900) Prec@5 78.906 (81.456) Epoch: [54][4180/10010] Time 0.329 (0.327) Data 0.001 (0.001) Loss 1.6951 (1.7580) Prec@1 60.938 (59.893) Prec@5 82.812 (81.454) Epoch: [54][4190/10010] Time 0.327 (0.327) Data 0.001 (0.001) Loss 1.6964 (1.7580) Prec@1 67.969 (59.895) Prec@5 82.812 (81.455) Epoch: [54][4200/10010] Time 0.333 (0.327) Data 0.000 (0.001) Loss 1.9158 (1.7583) Prec@1 57.031 (59.891) Prec@5 80.469 (81.457) Epoch: [54][4210/10010] Time 0.321 (0.327) Data 0.001 (0.001) Loss 1.8623 (1.7584) Prec@1 61.719 (59.887) Prec@5 78.906 (81.453) Epoch: [54][4220/10010] Time 0.314 (0.327) Data 0.001 (0.001) Loss 1.6769 (1.7584) Prec@1 62.500 (59.889) Prec@5 78.906 (81.452) Epoch: [54][4230/10010] Time 0.317 (0.327) Data 0.001 (0.001) Loss 1.8990 (1.7581) Prec@1 57.812 (59.893) Prec@5 79.688 (81.455) Epoch: [54][4240/10010] Time 0.313 (0.327) Data 0.001 (0.001) Loss 1.7387 (1.7583) Prec@1 61.719 (59.891) Prec@5 82.812 (81.454) Epoch: [54][4250/10010] Time 0.314 (0.327) Data 0.001 (0.001) Loss 1.7189 (1.7582) Prec@1 55.469 (59.895) Prec@5 84.375 (81.456) Epoch: [54][4260/10010] Time 0.326 (0.327) Data 0.001 (0.001) Loss 1.9395 (1.7583) Prec@1 57.031 (59.891) Prec@5 85.156 (81.454) Epoch: [54][4270/10010] Time 0.334 (0.327) Data 0.001 (0.001) Loss 1.7788 (1.7584) Prec@1 58.594 (59.890) Prec@5 81.250 (81.451) Epoch: [54][4280/10010] Time 0.332 (0.327) Data 0.001 (0.001) Loss 1.8582 (1.7586) Prec@1 59.375 (59.887) Prec@5 79.688 (81.448) Epoch: [54][4290/10010] Time 0.342 (0.327) Data 0.000 (0.001) Loss 1.9891 (1.7587) Prec@1 50.000 (59.890) Prec@5 80.469 (81.446) Epoch: [54][4300/10010] Time 0.317 (0.327) Data 0.001 (0.001) Loss 1.3890 (1.7586) Prec@1 71.094 (59.892) Prec@5 85.938 (81.449) Epoch: [54][4310/10010] Time 0.326 (0.327) Data 0.001 (0.001) Loss 2.2219 (1.7587) Prec@1 48.438 (59.891) Prec@5 73.438 (81.448) Epoch: [54][4320/10010] Time 0.328 (0.327) Data 0.000 (0.001) Loss 1.6385 (1.7586) Prec@1 59.375 (59.889) Prec@5 82.031 (81.450) Epoch: [54][4330/10010] Time 0.336 (0.327) Data 0.000 (0.001) Loss 1.7005 (1.7584) Prec@1 59.375 (59.890) Prec@5 83.594 (81.454) Epoch: [54][4340/10010] Time 0.323 (0.327) Data 0.001 (0.001) Loss 1.4742 (1.7584) Prec@1 62.500 (59.891) Prec@5 85.938 (81.457) Epoch: [54][4350/10010] Time 0.330 (0.327) Data 0.001 (0.001) Loss 1.4614 (1.7582) Prec@1 66.406 (59.894) Prec@5 82.812 (81.458) Epoch: [54][4360/10010] Time 0.334 (0.327) Data 0.000 (0.001) Loss 1.6561 (1.7582) Prec@1 60.156 (59.893) Prec@5 82.812 (81.457) Epoch: [54][4370/10010] Time 0.311 (0.327) Data 0.001 (0.001) Loss 1.6856 (1.7582) Prec@1 60.938 (59.893) Prec@5 80.469 (81.457) Epoch: [54][4380/10010] Time 0.332 (0.327) Data 0.001 (0.001) Loss 2.1027 (1.7582) Prec@1 52.344 (59.893) Prec@5 77.344 (81.458) Epoch: [54][4390/10010] Time 0.313 (0.327) Data 0.001 (0.001) Loss 1.9106 (1.7582) Prec@1 57.812 (59.894) Prec@5 78.125 (81.458) Epoch: [54][4400/10010] Time 0.330 (0.327) Data 0.001 (0.001) Loss 1.9886 (1.7583) Prec@1 51.562 (59.893) Prec@5 77.344 (81.457) Epoch: [54][4410/10010] Time 0.323 (0.327) Data 0.000 (0.001) Loss 1.7633 (1.7584) Prec@1 63.281 (59.890) Prec@5 82.031 (81.457) Epoch: [54][4420/10010] Time 0.330 (0.327) Data 0.000 (0.001) Loss 1.5723 (1.7584) Prec@1 63.281 (59.892) Prec@5 85.938 (81.457) Epoch: [54][4430/10010] Time 0.338 (0.327) Data 0.001 (0.001) Loss 1.7323 (1.7587) Prec@1 61.719 (59.886) Prec@5 82.812 (81.455) Epoch: [54][4440/10010] Time 0.334 (0.327) Data 0.001 (0.001) Loss 1.7076 (1.7588) Prec@1 64.844 (59.884) Prec@5 80.469 (81.454) Epoch: [54][4450/10010] Time 0.337 (0.327) Data 0.001 (0.001) Loss 1.7681 (1.7588) Prec@1 60.938 (59.887) Prec@5 76.562 (81.452) Epoch: [54][4460/10010] Time 0.340 (0.327) Data 0.001 (0.001) Loss 1.6033 (1.7586) Prec@1 67.188 (59.893) Prec@5 81.250 (81.453) Epoch: [54][4470/10010] Time 0.314 (0.327) Data 0.001 (0.001) Loss 1.7673 (1.7585) Prec@1 60.938 (59.896) Prec@5 82.031 (81.457) Epoch: [54][4480/10010] Time 0.332 (0.327) Data 0.000 (0.001) Loss 1.7869 (1.7585) Prec@1 60.156 (59.894) Prec@5 78.125 (81.455) Epoch: [54][4490/10010] Time 0.321 (0.327) Data 0.001 (0.001) Loss 1.8442 (1.7586) Prec@1 57.812 (59.893) Prec@5 81.250 (81.454) Epoch: [54][4500/10010] Time 0.335 (0.327) Data 0.001 (0.001) Loss 1.8266 (1.7587) Prec@1 54.688 (59.887) Prec@5 81.250 (81.451) Epoch: [54][4510/10010] Time 0.315 (0.327) Data 0.001 (0.001) Loss 1.8720 (1.7589) Prec@1 55.469 (59.886) Prec@5 78.125 (81.444) Epoch: [54][4520/10010] Time 0.318 (0.327) Data 0.000 (0.001) Loss 2.1392 (1.7588) Prec@1 55.469 (59.889) Prec@5 74.219 (81.444) Epoch: [54][4530/10010] Time 0.323 (0.327) Data 0.000 (0.001) Loss 1.5870 (1.7590) Prec@1 64.844 (59.887) Prec@5 85.156 (81.441) Epoch: [54][4540/10010] Time 0.318 (0.327) Data 0.001 (0.001) Loss 1.6721 (1.7593) Prec@1 63.281 (59.885) Prec@5 82.031 (81.438) Epoch: [54][4550/10010] Time 0.337 (0.327) Data 0.000 (0.001) Loss 1.7980 (1.7594) Prec@1 59.375 (59.882) Prec@5 81.250 (81.436) Epoch: [54][4560/10010] Time 0.333 (0.327) Data 0.001 (0.001) Loss 1.5564 (1.7593) Prec@1 58.594 (59.881) Prec@5 82.031 (81.436) Epoch: [54][4570/10010] Time 0.343 (0.327) Data 0.001 (0.001) Loss 1.7717 (1.7594) Prec@1 63.281 (59.881) Prec@5 82.812 (81.434) Epoch: [54][4580/10010] Time 0.337 (0.327) Data 0.000 (0.001) Loss 1.5740 (1.7593) Prec@1 62.500 (59.882) Prec@5 85.156 (81.435) Epoch: [54][4590/10010] Time 0.338 (0.327) Data 0.001 (0.001) Loss 1.7576 (1.7594) Prec@1 57.031 (59.883) Prec@5 85.156 (81.435) Epoch: [54][4600/10010] Time 0.335 (0.327) Data 0.001 (0.001) Loss 1.6103 (1.7594) Prec@1 63.281 (59.882) Prec@5 85.938 (81.435) Epoch: [54][4610/10010] Time 0.338 (0.327) Data 0.000 (0.001) Loss 1.7148 (1.7594) Prec@1 60.156 (59.884) Prec@5 82.812 (81.436) Epoch: [54][4620/10010] Time 0.320 (0.327) Data 0.001 (0.001) Loss 1.8229 (1.7593) Prec@1 60.156 (59.884) Prec@5 79.688 (81.437) Epoch: [54][4630/10010] Time 0.343 (0.327) Data 0.001 (0.001) Loss 1.7770 (1.7594) Prec@1 58.594 (59.883) Prec@5 83.594 (81.436) Epoch: [54][4640/10010] Time 0.323 (0.327) Data 0.001 (0.001) Loss 1.8099 (1.7594) Prec@1 57.031 (59.879) Prec@5 81.250 (81.434) Epoch: [54][4650/10010] Time 0.322 (0.327) Data 0.000 (0.001) Loss 1.9381 (1.7596) Prec@1 57.812 (59.877) Prec@5 79.688 (81.432) Epoch: [54][4660/10010] Time 0.334 (0.328) Data 0.001 (0.001) Loss 1.5412 (1.7595) Prec@1 67.188 (59.883) Prec@5 84.375 (81.433) Epoch: [54][4670/10010] Time 0.319 (0.328) Data 0.001 (0.001) Loss 1.8535 (1.7597) Prec@1 61.719 (59.877) Prec@5 82.031 (81.431) Epoch: [54][4680/10010] Time 0.325 (0.328) Data 0.001 (0.001) Loss 1.7799 (1.7596) Prec@1 60.938 (59.881) Prec@5 81.250 (81.433) Epoch: [54][4690/10010] Time 0.324 (0.328) Data 0.001 (0.001) Loss 2.0374 (1.7598) Prec@1 61.719 (59.880) Prec@5 81.250 (81.433) Epoch: [54][4700/10010] Time 0.330 (0.328) Data 0.000 (0.001) Loss 1.4546 (1.7596) Prec@1 68.750 (59.883) Prec@5 85.938 (81.434) Epoch: [54][4710/10010] Time 0.329 (0.328) Data 0.000 (0.001) Loss 2.0879 (1.7597) Prec@1 56.250 (59.882) Prec@5 73.438 (81.432) Epoch: [54][4720/10010] Time 0.318 (0.328) Data 0.000 (0.001) Loss 1.5913 (1.7596) Prec@1 63.281 (59.884) Prec@5 80.469 (81.435) Epoch: [54][4730/10010] Time 0.328 (0.328) Data 0.001 (0.001) Loss 1.9370 (1.7598) Prec@1 58.594 (59.882) Prec@5 78.125 (81.432) Epoch: [54][4740/10010] Time 0.333 (0.328) Data 0.001 (0.001) Loss 1.5223 (1.7597) Prec@1 60.156 (59.881) Prec@5 83.594 (81.433) Epoch: [54][4750/10010] Time 0.333 (0.328) Data 0.001 (0.001) Loss 2.0891 (1.7599) Prec@1 54.688 (59.875) Prec@5 76.562 (81.430) Epoch: [54][4760/10010] Time 0.332 (0.328) Data 0.001 (0.001) Loss 1.9174 (1.7600) Prec@1 56.250 (59.872) Prec@5 79.688 (81.427) Epoch: [54][4770/10010] Time 0.343 (0.328) Data 0.001 (0.001) Loss 1.4719 (1.7600) Prec@1 63.281 (59.873) Prec@5 88.281 (81.426) Epoch: [54][4780/10010] Time 0.338 (0.328) Data 0.001 (0.001) Loss 1.7442 (1.7599) Prec@1 56.250 (59.872) Prec@5 82.812 (81.430) Epoch: [54][4790/10010] Time 0.326 (0.328) Data 0.001 (0.001) Loss 1.6232 (1.7598) Prec@1 63.281 (59.873) Prec@5 80.469 (81.433) Epoch: [54][4800/10010] Time 0.325 (0.328) Data 0.001 (0.001) Loss 1.9366 (1.7600) Prec@1 53.906 (59.869) Prec@5 77.344 (81.431) Epoch: [54][4810/10010] Time 0.320 (0.328) Data 0.000 (0.001) Loss 1.7426 (1.7598) Prec@1 57.812 (59.876) Prec@5 84.375 (81.436) Epoch: [54][4820/10010] Time 0.342 (0.328) Data 0.001 (0.001) Loss 2.0552 (1.7600) Prec@1 57.812 (59.869) Prec@5 75.000 (81.433) Epoch: [54][4830/10010] Time 0.323 (0.328) Data 0.001 (0.001) Loss 2.0025 (1.7600) Prec@1 60.156 (59.869) Prec@5 76.562 (81.435) Epoch: [54][4840/10010] Time 0.316 (0.328) Data 0.000 (0.001) Loss 1.9639 (1.7602) Prec@1 56.250 (59.865) Prec@5 77.344 (81.433) Epoch: [54][4850/10010] Time 0.327 (0.328) Data 0.000 (0.001) Loss 2.1768 (1.7603) Prec@1 50.781 (59.863) Prec@5 77.344 (81.430) Epoch: [54][4860/10010] Time 0.317 (0.328) Data 0.001 (0.001) Loss 1.9392 (1.7603) Prec@1 53.125 (59.861) Prec@5 78.125 (81.428) Epoch: [54][4870/10010] Time 0.316 (0.328) Data 0.001 (0.001) Loss 1.5424 (1.7604) Prec@1 67.188 (59.859) Prec@5 82.031 (81.425) Epoch: [54][4880/10010] Time 0.333 (0.328) Data 0.001 (0.001) Loss 1.6799 (1.7604) Prec@1 67.969 (59.861) Prec@5 82.812 (81.426) Epoch: [54][4890/10010] Time 0.319 (0.328) Data 0.001 (0.001) Loss 1.9235 (1.7604) Prec@1 56.250 (59.861) Prec@5 78.906 (81.425) Epoch: [54][4900/10010] Time 0.334 (0.328) Data 0.000 (0.001) Loss 1.6276 (1.7603) Prec@1 61.719 (59.865) Prec@5 85.938 (81.427) Epoch: [54][4910/10010] Time 0.324 (0.328) Data 0.000 (0.001) Loss 1.4894 (1.7603) Prec@1 64.844 (59.866) Prec@5 83.594 (81.425) Epoch: [54][4920/10010] Time 0.337 (0.328) Data 0.000 (0.001) Loss 1.7649 (1.7602) Prec@1 58.594 (59.867) Prec@5 82.812 (81.426) Epoch: [54][4930/10010] Time 0.335 (0.328) Data 0.000 (0.001) Loss 1.5410 (1.7603) Prec@1 57.812 (59.863) Prec@5 83.594 (81.425) Epoch: [54][4940/10010] Time 0.319 (0.328) Data 0.001 (0.001) Loss 1.7318 (1.7602) Prec@1 60.156 (59.861) Prec@5 83.594 (81.426) Epoch: [54][4950/10010] Time 0.339 (0.328) Data 0.001 (0.001) Loss 1.6320 (1.7602) Prec@1 59.375 (59.861) Prec@5 85.156 (81.427) Epoch: [54][4960/10010] Time 0.316 (0.328) Data 0.001 (0.001) Loss 1.7561 (1.7602) Prec@1 60.938 (59.861) Prec@5 76.562 (81.426) Epoch: [54][4970/10010] Time 0.339 (0.328) Data 0.000 (0.001) Loss 2.1102 (1.7603) Prec@1 52.344 (59.856) Prec@5 81.250 (81.426) Epoch: [54][4980/10010] Time 0.334 (0.328) Data 0.001 (0.001) Loss 1.5428 (1.7603) Prec@1 63.281 (59.857) Prec@5 83.594 (81.427) Epoch: [54][4990/10010] Time 0.333 (0.328) Data 0.001 (0.001) Loss 1.9707 (1.7604) Prec@1 55.469 (59.853) Prec@5 78.125 (81.426) Epoch: [54][5000/10010] Time 0.318 (0.328) Data 0.001 (0.001) Loss 1.6292 (1.7602) Prec@1 61.719 (59.855) Prec@5 79.688 (81.427) Epoch: [54][5010/10010] Time 0.336 (0.328) Data 0.000 (0.001) Loss 1.7127 (1.7602) Prec@1 59.375 (59.856) Prec@5 82.031 (81.429) Epoch: [54][5020/10010] Time 0.318 (0.328) Data 0.001 (0.001) Loss 1.7985 (1.7602) Prec@1 59.375 (59.854) Prec@5 79.688 (81.428) Epoch: [54][5030/10010] Time 0.328 (0.328) Data 0.000 (0.001) Loss 1.3284 (1.7600) Prec@1 69.531 (59.860) Prec@5 85.156 (81.431) Epoch: [54][5040/10010] Time 0.340 (0.328) Data 0.000 (0.001) Loss 1.8809 (1.7601) Prec@1 59.375 (59.860) Prec@5 78.906 (81.429) Epoch: [54][5050/10010] Time 0.318 (0.328) Data 0.001 (0.001) Loss 2.4578 (1.7603) Prec@1 43.750 (59.853) Prec@5 75.000 (81.425) Epoch: [54][5060/10010] Time 0.331 (0.328) Data 0.001 (0.001) Loss 1.7545 (1.7601) Prec@1 61.719 (59.854) Prec@5 78.906 (81.426) Epoch: [54][5070/10010] Time 0.327 (0.328) Data 0.001 (0.001) Loss 1.6272 (1.7600) Prec@1 57.031 (59.855) Prec@5 80.469 (81.427) Epoch: [54][5080/10010] Time 0.344 (0.328) Data 0.000 (0.001) Loss 1.5755 (1.7600) Prec@1 64.062 (59.854) Prec@5 84.375 (81.427) Epoch: [54][5090/10010] Time 0.320 (0.328) Data 0.001 (0.001) Loss 1.7126 (1.7599) Prec@1 60.938 (59.856) Prec@5 82.812 (81.429) Epoch: [54][5100/10010] Time 0.332 (0.328) Data 0.001 (0.001) Loss 2.0001 (1.7601) Prec@1 56.250 (59.850) Prec@5 78.906 (81.426) Epoch: [54][5110/10010] Time 0.319 (0.328) Data 0.001 (0.001) Loss 1.8070 (1.7601) Prec@1 60.156 (59.849) Prec@5 77.344 (81.423) Epoch: [54][5120/10010] Time 0.339 (0.328) Data 0.001 (0.001) Loss 1.8494 (1.7600) Prec@1 55.469 (59.851) Prec@5 78.906 (81.426) Epoch: [54][5130/10010] Time 0.335 (0.328) Data 0.001 (0.001) Loss 1.7840 (1.7600) Prec@1 60.156 (59.853) Prec@5 82.031 (81.426) Epoch: [54][5140/10010] Time 0.332 (0.328) Data 0.000 (0.001) Loss 1.8679 (1.7600) Prec@1 51.562 (59.852) Prec@5 79.688 (81.424) Epoch: [54][5150/10010] Time 0.322 (0.328) Data 0.001 (0.001) Loss 1.8335 (1.7602) Prec@1 54.688 (59.851) Prec@5 83.594 (81.421) Epoch: [54][5160/10010] Time 0.338 (0.328) Data 0.000 (0.001) Loss 2.1354 (1.7605) Prec@1 50.781 (59.845) Prec@5 72.656 (81.414) Epoch: [54][5170/10010] Time 0.330 (0.328) Data 0.001 (0.001) Loss 1.7303 (1.7606) Prec@1 60.938 (59.844) Prec@5 83.594 (81.414) Epoch: [54][5180/10010] Time 0.323 (0.328) Data 0.000 (0.001) Loss 1.7868 (1.7606) Prec@1 60.938 (59.845) Prec@5 80.469 (81.412) Epoch: [54][5190/10010] Time 0.318 (0.328) Data 0.001 (0.001) Loss 1.4827 (1.7608) Prec@1 65.625 (59.840) Prec@5 88.281 (81.412) Epoch: [54][5200/10010] Time 0.320 (0.328) Data 0.001 (0.001) Loss 1.6841 (1.7609) Prec@1 57.812 (59.837) Prec@5 86.719 (81.410) Epoch: [54][5210/10010] Time 0.330 (0.328) Data 0.001 (0.001) Loss 1.7296 (1.7609) Prec@1 54.688 (59.834) Prec@5 84.375 (81.411) Epoch: [54][5220/10010] Time 0.317 (0.328) Data 0.000 (0.001) Loss 1.7713 (1.7608) Prec@1 53.906 (59.834) Prec@5 81.250 (81.413) Epoch: [54][5230/10010] Time 0.314 (0.328) Data 0.001 (0.001) Loss 1.8523 (1.7607) Prec@1 55.469 (59.834) Prec@5 81.250 (81.416) Epoch: [54][5240/10010] Time 0.322 (0.328) Data 0.001 (0.001) Loss 1.5985 (1.7609) Prec@1 62.500 (59.830) Prec@5 85.156 (81.416) Epoch: [54][5250/10010] Time 0.333 (0.328) Data 0.001 (0.001) Loss 1.5284 (1.7609) Prec@1 68.750 (59.830) Prec@5 82.031 (81.415) Epoch: [54][5260/10010] Time 0.341 (0.328) Data 0.001 (0.001) Loss 1.7221 (1.7609) Prec@1 55.469 (59.826) Prec@5 83.594 (81.416) Epoch: [54][5270/10010] Time 0.310 (0.328) Data 0.001 (0.001) Loss 1.8805 (1.7610) Prec@1 53.125 (59.826) Prec@5 82.031 (81.416) Epoch: [54][5280/10010] Time 0.326 (0.328) Data 0.000 (0.001) Loss 1.9555 (1.7612) Prec@1 50.000 (59.822) Prec@5 82.812 (81.413) Epoch: [54][5290/10010] Time 0.315 (0.328) Data 0.001 (0.001) Loss 1.8260 (1.7611) Prec@1 55.469 (59.823) Prec@5 82.031 (81.414) Epoch: [54][5300/10010] Time 0.339 (0.328) Data 0.001 (0.001) Loss 1.7409 (1.7612) Prec@1 60.938 (59.822) Prec@5 81.250 (81.415) Epoch: [54][5310/10010] Time 0.332 (0.328) Data 0.001 (0.001) Loss 1.7523 (1.7612) Prec@1 58.594 (59.825) Prec@5 78.125 (81.416) Epoch: [54][5320/10010] Time 0.322 (0.328) Data 0.001 (0.001) Loss 1.8765 (1.7611) Prec@1 57.031 (59.826) Prec@5 81.250 (81.416) /data/vision/torralba/deepscene/lib/anaconda2/lib/python2.7/site-packages/PIL/TiffImagePlugin.py:692: UserWarning: Possibly corrupt EXIF data. Expecting to read 19660800 bytes but only got 0. Skipping tag 0 "Skipping tag %s" % (size, len(data), tag)) /data/vision/torralba/deepscene/lib/anaconda2/lib/python2.7/site-packages/PIL/TiffImagePlugin.py:692: UserWarning: Possibly corrupt EXIF data. Expecting to read 18481152 bytes but only got 0. Skipping tag 0 "Skipping tag %s" % (size, len(data), tag)) /data/vision/torralba/deepscene/lib/anaconda2/lib/python2.7/site-packages/PIL/TiffImagePlugin.py:692: UserWarning: Possibly corrupt EXIF data. Expecting to read 37093376 bytes but only got 0. Skipping tag 0 "Skipping tag %s" % (size, len(data), tag)) /data/vision/torralba/deepscene/lib/anaconda2/lib/python2.7/site-packages/PIL/TiffImagePlugin.py:692: UserWarning: Possibly corrupt EXIF data. Expecting to read 39976960 bytes but only got 0. Skipping tag 0 "Skipping tag %s" % (size, len(data), tag)) /data/vision/torralba/deepscene/lib/anaconda2/lib/python2.7/site-packages/PIL/TiffImagePlugin.py:692: UserWarning: Possibly corrupt EXIF data. Expecting to read 34865152 bytes but only got 0. Skipping tag 0 "Skipping tag %s" % (size, len(data), tag)) /data/vision/torralba/deepscene/lib/anaconda2/lib/python2.7/site-packages/PIL/TiffImagePlugin.py:709: UserWarning: Corrupt EXIF data. Expecting to read 12 bytes but only got 10. warnings.warn(str(msg)) Epoch: [54][5330/10010] Time 0.316 (0.328) Data 0.001 (0.001) Loss 1.5237 (1.7612) Prec@1 67.969 (59.826) Prec@5 82.812 (81.416) Epoch: [54][5340/10010] Time 0.330 (0.328) Data 0.001 (0.001) Loss 1.8294 (1.7612) Prec@1 60.156 (59.827) Prec@5 75.781 (81.415) Epoch: [54][5350/10010] Time 0.317 (0.328) Data 0.001 (0.001) Loss 1.6336 (1.7612) Prec@1 62.500 (59.829) Prec@5 83.594 (81.416) Epoch: [54][5360/10010] Time 0.342 (0.328) Data 0.001 (0.001) Loss 1.6954 (1.7611) Prec@1 63.281 (59.828) Prec@5 82.812 (81.418) Epoch: [54][5370/10010] Time 0.328 (0.328) Data 0.001 (0.001) Loss 1.3808 (1.7611) Prec@1 64.062 (59.828) Prec@5 89.844 (81.420) Epoch: [54][5380/10010] Time 0.335 (0.328) Data 0.001 (0.001) Loss 1.2863 (1.7612) Prec@1 67.969 (59.825) Prec@5 90.625 (81.420) Epoch: [54][5390/10010] Time 0.329 (0.328) Data 0.001 (0.001) Loss 1.8130 (1.7613) Prec@1 58.594 (59.824) Prec@5 80.469 (81.417) Epoch: [54][5400/10010] Time 0.313 (0.328) Data 0.001 (0.001) Loss 1.8012 (1.7612) Prec@1 60.938 (59.824) Prec@5 81.250 (81.416) Epoch: [54][5410/10010] Time 0.321 (0.328) Data 0.000 (0.001) Loss 1.7246 (1.7612) Prec@1 58.594 (59.822) Prec@5 81.250 (81.416) Epoch: [54][5420/10010] Time 0.337 (0.328) Data 0.001 (0.001) Loss 1.7033 (1.7612) Prec@1 58.594 (59.819) Prec@5 82.812 (81.418) Epoch: [54][5430/10010] Time 0.333 (0.328) Data 0.001 (0.001) Loss 1.7713 (1.7611) Prec@1 57.812 (59.821) Prec@5 82.812 (81.423) Epoch: [54][5440/10010] Time 0.330 (0.328) Data 0.000 (0.001) Loss 1.7672 (1.7612) Prec@1 55.469 (59.819) Prec@5 78.125 (81.422) Epoch: [54][5450/10010] Time 0.331 (0.328) Data 0.001 (0.001) Loss 1.6774 (1.7612) Prec@1 57.812 (59.818) Prec@5 83.594 (81.422) Epoch: [54][5460/10010] Time 0.337 (0.328) Data 0.000 (0.001) Loss 1.4971 (1.7610) Prec@1 64.062 (59.823) Prec@5 85.156 (81.426) Epoch: [54][5470/10010] Time 0.336 (0.328) Data 0.001 (0.001) Loss 1.5644 (1.7609) Prec@1 62.500 (59.826) Prec@5 83.594 (81.426) Epoch: [54][5480/10010] Time 0.320 (0.328) Data 0.001 (0.001) Loss 1.5824 (1.7608) Prec@1 67.969 (59.829) Prec@5 82.812 (81.426) Epoch: [54][5490/10010] Time 0.332 (0.328) Data 0.001 (0.001) Loss 1.7710 (1.7610) Prec@1 63.281 (59.825) Prec@5 81.250 (81.424) Epoch: [54][5500/10010] Time 0.325 (0.328) Data 0.000 (0.001) Loss 1.8585 (1.7610) Prec@1 55.469 (59.825) Prec@5 83.594 (81.424) Epoch: [54][5510/10010] Time 0.335 (0.328) Data 0.001 (0.001) Loss 1.9778 (1.7610) Prec@1 56.250 (59.824) Prec@5 78.906 (81.423) Epoch: [54][5520/10010] Time 0.317 (0.328) Data 0.001 (0.001) Loss 1.5665 (1.7609) Prec@1 66.406 (59.827) Prec@5 84.375 (81.425) Epoch: [54][5530/10010] Time 0.317 (0.328) Data 0.000 (0.001) Loss 1.8853 (1.7610) Prec@1 57.812 (59.824) Prec@5 74.219 (81.424) Epoch: [54][5540/10010] Time 0.329 (0.328) Data 0.001 (0.001) Loss 2.0111 (1.7610) Prec@1 55.469 (59.825) Prec@5 79.688 (81.426) Epoch: [54][5550/10010] Time 0.329 (0.328) Data 0.001 (0.001) Loss 1.5112 (1.7608) Prec@1 67.969 (59.827) Prec@5 87.500 (81.428) Epoch: [54][5560/10010] Time 0.332 (0.328) Data 0.001 (0.001) Loss 1.9143 (1.7608) Prec@1 61.719 (59.827) Prec@5 81.250 (81.429) Epoch: [54][5570/10010] Time 0.339 (0.328) Data 0.001 (0.001) Loss 1.7759 (1.7608) Prec@1 62.500 (59.830) Prec@5 79.688 (81.427) Epoch: [54][5580/10010] Time 0.328 (0.328) Data 0.000 (0.001) Loss 1.8723 (1.7606) Prec@1 59.375 (59.832) Prec@5 80.469 (81.428) Epoch: [54][5590/10010] Time 0.316 (0.328) Data 0.001 (0.001) Loss 1.8693 (1.7606) Prec@1 53.125 (59.834) Prec@5 80.469 (81.428) Epoch: [54][5600/10010] Time 0.342 (0.328) Data 0.001 (0.001) Loss 1.7928 (1.7605) Prec@1 57.812 (59.836) Prec@5 80.469 (81.428) Epoch: [54][5610/10010] Time 0.326 (0.328) Data 0.001 (0.001) Loss 1.8227 (1.7605) Prec@1 57.031 (59.834) Prec@5 80.469 (81.429) Epoch: [54][5620/10010] Time 0.313 (0.328) Data 0.001 (0.001) Loss 1.7046 (1.7605) Prec@1 60.156 (59.833) Prec@5 80.469 (81.429) Epoch: [54][5630/10010] Time 0.322 (0.328) Data 0.001 (0.001) Loss 1.6648 (1.7604) Prec@1 59.375 (59.835) Prec@5 82.812 (81.430) Epoch: [54][5640/10010] Time 0.324 (0.328) Data 0.001 (0.001) Loss 1.7405 (1.7606) Prec@1 57.812 (59.834) Prec@5 82.812 (81.429) Epoch: [54][5650/10010] Time 0.337 (0.328) Data 0.000 (0.001) Loss 1.7130 (1.7606) Prec@1 57.812 (59.833) Prec@5 81.250 (81.429) Epoch: [54][5660/10010] Time 0.322 (0.328) Data 0.001 (0.001) Loss 1.9169 (1.7606) Prec@1 59.375 (59.833) Prec@5 76.562 (81.428) Epoch: [54][5670/10010] Time 0.320 (0.328) Data 0.001 (0.001) Loss 1.7723 (1.7607) Prec@1 59.375 (59.832) Prec@5 80.469 (81.428) Epoch: [54][5680/10010] Time 0.319 (0.328) Data 0.001 (0.001) Loss 1.9421 (1.7608) Prec@1 50.000 (59.827) Prec@5 79.688 (81.425) Epoch: [54][5690/10010] Time 0.337 (0.328) Data 0.001 (0.001) Loss 1.6054 (1.7608) Prec@1 58.594 (59.825) Prec@5 82.812 (81.425) Epoch: [54][5700/10010] Time 0.316 (0.328) Data 0.001 (0.001) Loss 1.7967 (1.7606) Prec@1 54.688 (59.826) Prec@5 83.594 (81.427) Epoch: [54][5710/10010] Time 0.327 (0.328) Data 0.001 (0.001) Loss 1.7368 (1.7607) Prec@1 60.938 (59.827) Prec@5 82.031 (81.427) Epoch: [54][5720/10010] Time 0.329 (0.328) Data 0.001 (0.001) Loss 1.9822 (1.7608) Prec@1 57.812 (59.825) Prec@5 75.781 (81.426) Epoch: [54][5730/10010] Time 0.331 (0.328) Data 0.001 (0.001) Loss 1.6959 (1.7609) Prec@1 57.031 (59.824) Prec@5 85.156 (81.423) Epoch: [54][5740/10010] Time 0.311 (0.328) Data 0.001 (0.001) Loss 1.4699 (1.7608) Prec@1 64.062 (59.828) Prec@5 85.938 (81.425) Epoch: [54][5750/10010] Time 0.335 (0.328) Data 0.001 (0.001) Loss 1.7172 (1.7608) Prec@1 57.031 (59.826) Prec@5 79.688 (81.426) Epoch: [54][5760/10010] Time 0.339 (0.328) Data 0.001 (0.001) Loss 1.7815 (1.7608) Prec@1 61.719 (59.825) Prec@5 77.344 (81.425) Epoch: [54][5770/10010] Time 0.332 (0.328) Data 0.001 (0.001) Loss 1.9220 (1.7608) Prec@1 57.812 (59.823) Prec@5 74.219 (81.425) Epoch: [54][5780/10010] Time 0.319 (0.328) Data 0.000 (0.001) Loss 1.8563 (1.7609) Prec@1 54.688 (59.820) Prec@5 77.344 (81.422) Epoch: [54][5790/10010] Time 0.323 (0.328) Data 0.001 (0.001) Loss 2.0225 (1.7610) Prec@1 55.469 (59.820) Prec@5 76.562 (81.420) Epoch: [54][5800/10010] Time 0.345 (0.328) Data 0.001 (0.001) Loss 1.7613 (1.7610) Prec@1 55.469 (59.818) Prec@5 79.688 (81.418) Epoch: [54][5810/10010] Time 0.334 (0.328) Data 0.001 (0.001) Loss 1.7824 (1.7612) Prec@1 60.156 (59.814) Prec@5 82.031 (81.415) Epoch: [54][5820/10010] Time 0.321 (0.328) Data 0.001 (0.001) Loss 1.9149 (1.7612) Prec@1 55.469 (59.813) Prec@5 82.812 (81.415) Epoch: [54][5830/10010] Time 0.333 (0.328) Data 0.001 (0.001) Loss 1.8429 (1.7612) Prec@1 54.688 (59.811) Prec@5 80.469 (81.415) Epoch: [54][5840/10010] Time 0.338 (0.328) Data 0.000 (0.001) Loss 1.7311 (1.7613) Prec@1 59.375 (59.807) Prec@5 82.031 (81.414) Epoch: [54][5850/10010] Time 0.339 (0.328) Data 0.001 (0.001) Loss 2.1707 (1.7615) Prec@1 50.000 (59.804) Prec@5 75.781 (81.410) Epoch: [54][5860/10010] Time 0.340 (0.328) Data 0.000 (0.001) Loss 1.5454 (1.7616) Prec@1 64.062 (59.802) Prec@5 82.031 (81.409) Epoch: [54][5870/10010] Time 0.336 (0.328) Data 0.000 (0.001) Loss 1.7613 (1.7615) Prec@1 60.156 (59.800) Prec@5 84.375 (81.410) Epoch: [54][5880/10010] Time 0.319 (0.328) Data 0.001 (0.001) Loss 1.7664 (1.7617) Prec@1 62.500 (59.797) Prec@5 78.906 (81.408) Epoch: [54][5890/10010] Time 0.337 (0.328) Data 0.001 (0.001) Loss 1.9445 (1.7619) Prec@1 53.906 (59.792) Prec@5 78.906 (81.407) Epoch: [54][5900/10010] Time 0.329 (0.328) Data 0.001 (0.001) Loss 1.8876 (1.7621) Prec@1 56.250 (59.787) Prec@5 81.250 (81.404) Epoch: [54][5910/10010] Time 0.317 (0.328) Data 0.001 (0.001) Loss 1.9608 (1.7621) Prec@1 57.031 (59.786) Prec@5 74.219 (81.403) Epoch: [54][5920/10010] Time 0.317 (0.328) Data 0.000 (0.001) Loss 1.5647 (1.7622) Prec@1 65.625 (59.787) Prec@5 84.375 (81.404) Epoch: [54][5930/10010] Time 0.340 (0.328) Data 0.000 (0.001) Loss 1.8626 (1.7622) Prec@1 52.344 (59.787) Prec@5 82.812 (81.402) Epoch: [54][5940/10010] Time 0.337 (0.328) Data 0.001 (0.001) Loss 2.0057 (1.7623) Prec@1 55.469 (59.785) Prec@5 77.344 (81.402) Epoch: [54][5950/10010] Time 0.316 (0.328) Data 0.001 (0.001) Loss 1.7870 (1.7624) Prec@1 62.500 (59.783) Prec@5 80.469 (81.400) Epoch: [54][5960/10010] Time 0.323 (0.328) Data 0.001 (0.001) Loss 1.8286 (1.7623) Prec@1 57.031 (59.783) Prec@5 78.125 (81.400) Epoch: [54][5970/10010] Time 0.329 (0.328) Data 0.000 (0.001) Loss 1.5951 (1.7622) Prec@1 64.844 (59.788) Prec@5 82.031 (81.401) Epoch: [54][5980/10010] Time 0.334 (0.328) Data 0.001 (0.001) Loss 1.5122 (1.7620) Prec@1 66.406 (59.792) Prec@5 84.375 (81.403) Epoch: [54][5990/10010] Time 0.316 (0.328) Data 0.001 (0.001) Loss 1.5861 (1.7619) Prec@1 67.969 (59.793) Prec@5 83.594 (81.405) Epoch: [54][6000/10010] Time 0.322 (0.328) Data 0.000 (0.001) Loss 1.4494 (1.7620) Prec@1 69.531 (59.794) Prec@5 86.719 (81.404) Epoch: [54][6010/10010] Time 0.319 (0.328) Data 0.000 (0.001) Loss 2.1219 (1.7621) Prec@1 53.906 (59.794) Prec@5 77.344 (81.401) Epoch: [54][6020/10010] Time 0.321 (0.328) Data 0.001 (0.001) Loss 1.8288 (1.7621) Prec@1 64.844 (59.793) Prec@5 79.688 (81.401) Epoch: [54][6030/10010] Time 0.317 (0.328) Data 0.001 (0.001) Loss 1.8210 (1.7620) Prec@1 59.375 (59.795) Prec@5 80.469 (81.404) Epoch: [54][6040/10010] Time 0.315 (0.328) Data 0.001 (0.001) Loss 1.8451 (1.7620) Prec@1 60.156 (59.795) Prec@5 78.125 (81.402) Epoch: [54][6050/10010] Time 0.327 (0.328) Data 0.000 (0.001) Loss 1.7994 (1.7621) Prec@1 55.469 (59.791) Prec@5 82.031 (81.401) Epoch: [54][6060/10010] Time 0.322 (0.328) Data 0.000 (0.001) Loss 1.4675 (1.7622) Prec@1 67.188 (59.790) Prec@5 83.594 (81.397) Epoch: [54][6070/10010] Time 0.321 (0.328) Data 0.000 (0.001) Loss 1.9188 (1.7623) Prec@1 60.156 (59.788) Prec@5 79.688 (81.396) Epoch: [54][6080/10010] Time 0.326 (0.328) Data 0.000 (0.001) Loss 1.5472 (1.7623) Prec@1 64.844 (59.785) Prec@5 85.156 (81.397) Epoch: [54][6090/10010] Time 0.330 (0.328) Data 0.001 (0.001) Loss 2.1469 (1.7624) Prec@1 52.344 (59.784) Prec@5 75.781 (81.395) Epoch: [54][6100/10010] Time 0.334 (0.328) Data 0.000 (0.001) Loss 1.8366 (1.7624) Prec@1 60.938 (59.784) Prec@5 79.688 (81.394) Epoch: [54][6110/10010] Time 0.334 (0.328) Data 0.001 (0.001) Loss 1.9889 (1.7625) Prec@1 57.812 (59.783) Prec@5 78.906 (81.393) Epoch: [54][6120/10010] Time 0.334 (0.328) Data 0.001 (0.001) Loss 2.3698 (1.7628) Prec@1 50.000 (59.777) Prec@5 71.094 (81.390) Epoch: [54][6130/10010] Time 0.335 (0.328) Data 0.001 (0.001) Loss 1.8508 (1.7628) Prec@1 49.219 (59.777) Prec@5 82.031 (81.389) Epoch: [54][6140/10010] Time 0.327 (0.328) Data 0.001 (0.001) Loss 1.4791 (1.7628) Prec@1 67.188 (59.778) Prec@5 82.812 (81.389) Epoch: [54][6150/10010] Time 0.337 (0.328) Data 0.001 (0.001) Loss 1.8508 (1.7627) Prec@1 57.031 (59.780) Prec@5 80.469 (81.391) Epoch: [54][6160/10010] Time 0.336 (0.328) Data 0.001 (0.001) Loss 1.7230 (1.7628) Prec@1 60.156 (59.776) Prec@5 80.469 (81.390) Epoch: [54][6170/10010] Time 0.313 (0.328) Data 0.001 (0.001) Loss 1.3668 (1.7627) Prec@1 69.531 (59.781) Prec@5 86.719 (81.392) Epoch: [54][6180/10010] Time 0.322 (0.328) Data 0.000 (0.001) Loss 1.7901 (1.7627) Prec@1 58.594 (59.778) Prec@5 82.812 (81.392) Epoch: [54][6190/10010] Time 0.323 (0.328) Data 0.001 (0.001) Loss 1.6294 (1.7628) Prec@1 58.594 (59.776) Prec@5 81.250 (81.392) Epoch: [54][6200/10010] Time 0.315 (0.328) Data 0.000 (0.001) Loss 2.0631 (1.7630) Prec@1 53.125 (59.770) Prec@5 80.469 (81.391) Epoch: [54][6210/10010] Time 0.327 (0.328) Data 0.001 (0.001) Loss 2.0348 (1.7630) Prec@1 57.031 (59.771) Prec@5 74.219 (81.389) Epoch: [54][6220/10010] Time 0.318 (0.328) Data 0.000 (0.001) Loss 1.9121 (1.7631) Prec@1 58.594 (59.768) Prec@5 76.562 (81.389) Epoch: [54][6230/10010] Time 0.318 (0.328) Data 0.001 (0.001) Loss 1.6200 (1.7630) Prec@1 64.062 (59.770) Prec@5 82.031 (81.389) Epoch: [54][6240/10010] Time 0.333 (0.328) Data 0.001 (0.001) Loss 1.5453 (1.7631) Prec@1 67.969 (59.767) Prec@5 78.125 (81.388) Epoch: [54][6250/10010] Time 0.335 (0.328) Data 0.001 (0.001) Loss 2.1546 (1.7634) Prec@1 50.781 (59.761) Prec@5 75.000 (81.383) Epoch: [54][6260/10010] Time 0.323 (0.328) Data 0.000 (0.001) Loss 1.7897 (1.7634) Prec@1 62.500 (59.763) Prec@5 76.562 (81.383) Epoch: [54][6270/10010] Time 0.334 (0.328) Data 0.001 (0.001) Loss 1.5457 (1.7633) Prec@1 66.406 (59.761) Prec@5 84.375 (81.383) Epoch: [54][6280/10010] Time 0.329 (0.328) Data 0.001 (0.001) Loss 1.6339 (1.7634) Prec@1 64.062 (59.763) Prec@5 85.156 (81.382) Epoch: [54][6290/10010] Time 0.339 (0.328) Data 0.000 (0.001) Loss 1.7135 (1.7634) Prec@1 61.719 (59.764) Prec@5 82.031 (81.383) Epoch: [54][6300/10010] Time 0.328 (0.328) Data 0.001 (0.001) Loss 2.0334 (1.7634) Prec@1 53.125 (59.765) Prec@5 77.344 (81.382) Epoch: [54][6310/10010] Time 0.331 (0.328) Data 0.001 (0.001) Loss 2.1758 (1.7634) Prec@1 50.000 (59.764) Prec@5 75.000 (81.383) Epoch: [54][6320/10010] Time 0.332 (0.328) Data 0.001 (0.001) Loss 1.8688 (1.7634) Prec@1 53.906 (59.764) Prec@5 78.906 (81.383) Epoch: [54][6330/10010] Time 0.341 (0.328) Data 0.001 (0.001) Loss 1.5676 (1.7634) Prec@1 62.500 (59.764) Prec@5 84.375 (81.383) Epoch: [54][6340/10010] Time 0.335 (0.328) Data 0.001 (0.001) Loss 2.0622 (1.7636) Prec@1 50.781 (59.763) Prec@5 78.906 (81.379) Epoch: [54][6350/10010] Time 0.325 (0.328) Data 0.001 (0.001) Loss 1.8906 (1.7637) Prec@1 60.938 (59.759) Prec@5 78.906 (81.375) Epoch: [54][6360/10010] Time 0.340 (0.328) Data 0.000 (0.001) Loss 1.5206 (1.7637) Prec@1 66.406 (59.762) Prec@5 84.375 (81.377) Epoch: [54][6370/10010] Time 0.310 (0.328) Data 0.001 (0.001) Loss 1.8831 (1.7637) Prec@1 59.375 (59.762) Prec@5 82.031 (81.378) Epoch: [54][6380/10010] Time 0.335 (0.328) Data 0.001 (0.001) Loss 1.6973 (1.7637) Prec@1 58.594 (59.762) Prec@5 82.031 (81.379) Epoch: [54][6390/10010] Time 0.331 (0.328) Data 0.001 (0.001) Loss 1.8177 (1.7636) Prec@1 60.156 (59.764) Prec@5 81.250 (81.380) Epoch: [54][6400/10010] Time 0.320 (0.328) Data 0.001 (0.001) Loss 1.7968 (1.7637) Prec@1 58.594 (59.763) Prec@5 80.469 (81.381) Epoch: [54][6410/10010] Time 0.318 (0.328) Data 0.000 (0.001) Loss 1.7532 (1.7638) Prec@1 53.125 (59.758) Prec@5 83.594 (81.379) Epoch: [54][6420/10010] Time 0.337 (0.328) Data 0.001 (0.001) Loss 1.7244 (1.7638) Prec@1 58.594 (59.758) Prec@5 82.812 (81.379) Epoch: [54][6430/10010] Time 0.331 (0.328) Data 0.001 (0.001) Loss 1.9880 (1.7639) Prec@1 55.469 (59.756) Prec@5 78.125 (81.379) Epoch: [54][6440/10010] Time 0.331 (0.328) Data 0.000 (0.001) Loss 1.6537 (1.7638) Prec@1 62.500 (59.757) Prec@5 79.688 (81.378) Epoch: [54][6450/10010] Time 0.316 (0.328) Data 0.001 (0.001) Loss 1.5865 (1.7638) Prec@1 62.500 (59.756) Prec@5 85.156 (81.378) Epoch: [54][6460/10010] Time 0.340 (0.328) Data 0.000 (0.001) Loss 2.0870 (1.7638) Prec@1 48.438 (59.753) Prec@5 78.125 (81.376) Epoch: [54][6470/10010] Time 0.318 (0.328) Data 0.001 (0.001) Loss 1.9367 (1.7638) Prec@1 51.562 (59.752) Prec@5 80.469 (81.376) Epoch: [54][6480/10010] Time 0.316 (0.328) Data 0.001 (0.001) Loss 2.2164 (1.7640) Prec@1 55.469 (59.748) Prec@5 75.000 (81.372) Epoch: [54][6490/10010] Time 0.337 (0.328) Data 0.001 (0.001) Loss 1.7983 (1.7639) Prec@1 58.594 (59.752) Prec@5 82.031 (81.373) Epoch: [54][6500/10010] Time 0.330 (0.328) Data 0.000 (0.001) Loss 2.0532 (1.7639) Prec@1 56.250 (59.751) Prec@5 72.656 (81.373) Epoch: [54][6510/10010] Time 0.338 (0.328) Data 0.001 (0.001) Loss 2.2459 (1.7639) Prec@1 50.000 (59.751) Prec@5 74.219 (81.372) Epoch: [54][6520/10010] Time 0.335 (0.328) Data 0.000 (0.001) Loss 1.7066 (1.7641) Prec@1 53.125 (59.747) Prec@5 82.812 (81.370) Epoch: [54][6530/10010] Time 0.334 (0.328) Data 0.001 (0.001) Loss 1.4922 (1.7640) Prec@1 66.406 (59.749) Prec@5 82.812 (81.371) Epoch: [54][6540/10010] Time 0.334 (0.328) Data 0.000 (0.001) Loss 1.9528 (1.7641) Prec@1 59.375 (59.748) Prec@5 75.000 (81.369) Epoch: [54][6550/10010] Time 0.333 (0.328) Data 0.001 (0.001) Loss 1.9108 (1.7642) Prec@1 51.562 (59.746) Prec@5 83.594 (81.367) Epoch: [54][6560/10010] Time 0.334 (0.328) Data 0.000 (0.001) Loss 2.1355 (1.7643) Prec@1 49.219 (59.744) Prec@5 78.125 (81.364) Epoch: [54][6570/10010] Time 0.319 (0.328) Data 0.000 (0.001) Loss 1.6220 (1.7644) Prec@1 66.406 (59.744) Prec@5 81.250 (81.362) Epoch: [54][6580/10010] Time 0.340 (0.328) Data 0.001 (0.001) Loss 1.8298 (1.7647) Prec@1 57.812 (59.736) Prec@5 81.250 (81.357) Epoch: [54][6590/10010] Time 0.341 (0.328) Data 0.001 (0.001) Loss 1.5950 (1.7647) Prec@1 60.156 (59.735) Prec@5 82.812 (81.355) Epoch: [54][6600/10010] Time 0.322 (0.328) Data 0.001 (0.001) Loss 1.9994 (1.7647) Prec@1 55.469 (59.733) Prec@5 73.438 (81.355) Epoch: [54][6610/10010] Time 0.314 (0.328) Data 0.000 (0.001) Loss 1.5306 (1.7649) Prec@1 67.188 (59.732) Prec@5 83.594 (81.352) Epoch: [54][6620/10010] Time 0.320 (0.328) Data 0.001 (0.001) Loss 1.9333 (1.7648) Prec@1 60.156 (59.734) Prec@5 78.906 (81.353) Epoch: [54][6630/10010] Time 0.332 (0.328) Data 0.001 (0.001) Loss 2.0691 (1.7650) Prec@1 57.812 (59.731) Prec@5 82.031 (81.352) Epoch: [54][6640/10010] Time 0.321 (0.328) Data 0.000 (0.001) Loss 2.0296 (1.7650) Prec@1 50.000 (59.729) Prec@5 76.562 (81.351) Epoch: [54][6650/10010] Time 0.344 (0.328) Data 0.001 (0.001) Loss 2.1755 (1.7652) Prec@1 48.438 (59.728) Prec@5 71.875 (81.350) Epoch: [54][6660/10010] Time 0.323 (0.328) Data 0.000 (0.001) Loss 2.0807 (1.7652) Prec@1 50.781 (59.726) Prec@5 77.344 (81.351) Epoch: [54][6670/10010] Time 0.312 (0.328) Data 0.001 (0.001) Loss 1.6827 (1.7653) Prec@1 60.938 (59.724) Prec@5 80.469 (81.350) Epoch: [54][6680/10010] Time 0.327 (0.328) Data 0.000 (0.001) Loss 1.5396 (1.7653) Prec@1 65.625 (59.725) Prec@5 83.594 (81.348) Epoch: [54][6690/10010] Time 0.330 (0.328) Data 0.001 (0.001) Loss 1.9110 (1.7653) Prec@1 57.812 (59.725) Prec@5 83.594 (81.349) Epoch: [54][6700/10010] Time 0.324 (0.328) Data 0.001 (0.001) Loss 1.5699 (1.7652) Prec@1 64.062 (59.728) Prec@5 85.938 (81.351) Epoch: [54][6710/10010] Time 0.327 (0.328) Data 0.001 (0.001) Loss 1.7215 (1.7653) Prec@1 60.156 (59.726) Prec@5 79.688 (81.350) Epoch: [54][6720/10010] Time 0.315 (0.328) Data 0.001 (0.001) Loss 1.5257 (1.7651) Prec@1 64.062 (59.730) Prec@5 85.156 (81.354) Epoch: [54][6730/10010] Time 0.320 (0.328) Data 0.000 (0.001) Loss 2.0336 (1.7653) Prec@1 56.250 (59.726) Prec@5 79.688 (81.351) Epoch: [54][6740/10010] Time 0.334 (0.328) Data 0.001 (0.001) Loss 1.8273 (1.7652) Prec@1 60.938 (59.731) Prec@5 81.250 (81.352) Epoch: [54][6750/10010] Time 0.331 (0.328) Data 0.000 (0.001) Loss 1.8545 (1.7653) Prec@1 57.812 (59.730) Prec@5 78.125 (81.352) Epoch: [54][6760/10010] Time 0.319 (0.328) Data 0.001 (0.001) Loss 1.8392 (1.7653) Prec@1 60.156 (59.729) Prec@5 77.344 (81.351) Epoch: [54][6770/10010] Time 0.325 (0.328) Data 0.000 (0.001) Loss 1.8110 (1.7654) Prec@1 58.594 (59.727) Prec@5 83.594 (81.351) Epoch: [54][6780/10010] Time 0.331 (0.328) Data 0.001 (0.001) Loss 1.5546 (1.7652) Prec@1 65.625 (59.731) Prec@5 83.594 (81.354) Epoch: [54][6790/10010] Time 0.328 (0.328) Data 0.001 (0.001) Loss 1.6115 (1.7652) Prec@1 60.156 (59.733) Prec@5 83.594 (81.355) Epoch: [54][6800/10010] Time 0.331 (0.328) Data 0.001 (0.001) Loss 1.8643 (1.7651) Prec@1 58.594 (59.736) Prec@5 81.250 (81.357) Epoch: [54][6810/10010] Time 0.340 (0.328) Data 0.001 (0.001) Loss 1.6746 (1.7652) Prec@1 61.719 (59.732) Prec@5 85.938 (81.356) Epoch: [54][6820/10010] Time 0.325 (0.328) Data 0.001 (0.001) Loss 1.6541 (1.7652) Prec@1 60.938 (59.733) Prec@5 86.719 (81.356) Epoch: [54][6830/10010] Time 0.317 (0.328) Data 0.001 (0.001) Loss 1.7620 (1.7653) Prec@1 60.156 (59.732) Prec@5 82.031 (81.354) Epoch: [54][6840/10010] Time 0.330 (0.328) Data 0.000 (0.001) Loss 1.5832 (1.7652) Prec@1 63.281 (59.732) Prec@5 84.375 (81.353) Epoch: [54][6850/10010] Time 0.338 (0.328) Data 0.000 (0.001) Loss 1.4231 (1.7653) Prec@1 64.062 (59.729) Prec@5 89.062 (81.353) Epoch: [54][6860/10010] Time 0.339 (0.328) Data 0.001 (0.001) Loss 1.8482 (1.7653) Prec@1 61.719 (59.729) Prec@5 82.031 (81.354) Epoch: [54][6870/10010] Time 0.338 (0.328) Data 0.001 (0.001) Loss 1.7316 (1.7653) Prec@1 60.156 (59.731) Prec@5 83.594 (81.354) Epoch: [54][6880/10010] Time 0.331 (0.328) Data 0.001 (0.001) Loss 1.8300 (1.7654) Prec@1 54.688 (59.727) Prec@5 78.125 (81.354) Epoch: [54][6890/10010] Time 0.312 (0.328) Data 0.000 (0.001) Loss 2.0272 (1.7654) Prec@1 53.906 (59.724) Prec@5 78.125 (81.353) Epoch: [54][6900/10010] Time 0.341 (0.328) Data 0.001 (0.001) Loss 1.9957 (1.7657) Prec@1 58.594 (59.720) Prec@5 78.906 (81.350) Epoch: [54][6910/10010] Time 0.310 (0.328) Data 0.001 (0.001) Loss 2.2062 (1.7658) Prec@1 50.781 (59.718) Prec@5 75.781 (81.348) Epoch: [54][6920/10010] Time 0.338 (0.328) Data 0.001 (0.001) Loss 1.6384 (1.7657) Prec@1 59.375 (59.719) Prec@5 83.594 (81.349) Epoch: [54][6930/10010] Time 0.331 (0.328) Data 0.001 (0.001) Loss 1.8752 (1.7657) Prec@1 57.031 (59.720) Prec@5 76.562 (81.349) Epoch: [54][6940/10010] Time 0.327 (0.328) Data 0.001 (0.001) Loss 1.7206 (1.7657) Prec@1 58.594 (59.719) Prec@5 83.594 (81.349) Epoch: [54][6950/10010] Time 0.318 (0.328) Data 0.001 (0.001) Loss 2.1370 (1.7657) Prec@1 47.656 (59.716) Prec@5 74.219 (81.347) Epoch: [54][6960/10010] Time 0.332 (0.328) Data 0.001 (0.001) Loss 1.6708 (1.7657) Prec@1 53.906 (59.717) Prec@5 85.938 (81.347) Epoch: [54][6970/10010] Time 0.320 (0.328) Data 0.001 (0.001) Loss 1.7098 (1.7657) Prec@1 60.938 (59.717) Prec@5 83.594 (81.347) Epoch: [54][6980/10010] Time 0.318 (0.328) Data 0.001 (0.001) Loss 1.9947 (1.7658) Prec@1 55.469 (59.714) Prec@5 80.469 (81.345) Epoch: [54][6990/10010] Time 0.339 (0.328) Data 0.001 (0.001) Loss 1.7500 (1.7658) Prec@1 57.031 (59.715) Prec@5 81.250 (81.346) Epoch: [54][7000/10010] Time 0.343 (0.328) Data 0.000 (0.001) Loss 1.9704 (1.7658) Prec@1 53.125 (59.713) Prec@5 80.469 (81.346) Epoch: [54][7010/10010] Time 0.338 (0.328) Data 0.000 (0.001) Loss 1.7431 (1.7659) Prec@1 64.844 (59.712) Prec@5 78.906 (81.344) Epoch: [54][7020/10010] Time 0.337 (0.328) Data 0.001 (0.001) Loss 1.5494 (1.7659) Prec@1 62.500 (59.713) Prec@5 85.156 (81.345) /data/vision/torralba/deepscene/lib/anaconda2/lib/python2.7/site-packages/PIL/TiffImagePlugin.py:692: UserWarning: Possibly corrupt EXIF data. Expecting to read 1835008 bytes but only got 0. Skipping tag 0 "Skipping tag %s" % (size, len(data), tag)) Epoch: [54][7030/10010] Time 0.333 (0.328) Data 0.001 (0.001) Loss 1.8271 (1.7660) Prec@1 57.812 (59.714) Prec@5 82.031 (81.344) /data/vision/torralba/deepscene/lib/anaconda2/lib/python2.7/site-packages/PIL/TiffImagePlugin.py:692: UserWarning: Possibly corrupt EXIF data. Expecting to read 2555904 bytes but only got 0. Skipping tag 0 "Skipping tag %s" % (size, len(data), tag)) Epoch: [54][7040/10010] Time 0.319 (0.328) Data 0.001 (0.001) Loss 1.8123 (1.7659) Prec@1 58.594 (59.714) Prec@5 78.125 (81.345) Epoch: [54][7050/10010] Time 0.335 (0.328) Data 0.000 (0.001) Loss 1.5247 (1.7659) Prec@1 61.719 (59.714) Prec@5 87.500 (81.346) Epoch: [54][7060/10010] Time 0.331 (0.328) Data 0.001 (0.001) Loss 1.8631 (1.7659) Prec@1 58.594 (59.715) Prec@5 78.906 (81.346) Epoch: [54][7070/10010] Time 0.337 (0.328) Data 0.001 (0.001) Loss 2.1118 (1.7659) Prec@1 52.344 (59.716) Prec@5 78.906 (81.346) Epoch: [54][7080/10010] Time 0.334 (0.328) Data 0.001 (0.001) Loss 1.8681 (1.7659) Prec@1 53.906 (59.717) Prec@5 78.906 (81.347) Epoch: [54][7090/10010] Time 0.343 (0.328) Data 0.001 (0.001) Loss 2.0791 (1.7660) Prec@1 56.250 (59.714) Prec@5 77.344 (81.346) Epoch: [54][7100/10010] Time 0.321 (0.328) Data 0.001 (0.001) Loss 1.7306 (1.7661) Prec@1 53.906 (59.711) Prec@5 82.031 (81.344) Epoch: [54][7110/10010] Time 0.319 (0.328) Data 0.001 (0.001) Loss 1.7883 (1.7661) Prec@1 59.375 (59.711) Prec@5 81.250 (81.344) Epoch: [54][7120/10010] Time 0.324 (0.328) Data 0.001 (0.001) Loss 1.6635 (1.7661) Prec@1 66.406 (59.713) Prec@5 80.469 (81.343) Epoch: [54][7130/10010] Time 0.323 (0.328) Data 0.000 (0.001) Loss 1.8209 (1.7661) Prec@1 57.031 (59.713) Prec@5 80.469 (81.343) Epoch: [54][7140/10010] Time 0.317 (0.328) Data 0.001 (0.001) Loss 1.6895 (1.7661) Prec@1 58.594 (59.713) Prec@5 83.594 (81.343) Epoch: [54][7150/10010] Time 0.321 (0.328) Data 0.001 (0.001) Loss 1.8196 (1.7661) Prec@1 60.156 (59.714) Prec@5 79.688 (81.343) Epoch: [54][7160/10010] Time 0.339 (0.328) Data 0.000 (0.001) Loss 1.5529 (1.7662) Prec@1 60.938 (59.712) Prec@5 85.156 (81.342) Epoch: [54][7170/10010] Time 0.320 (0.328) Data 0.001 (0.001) Loss 1.9564 (1.7660) Prec@1 53.906 (59.714) Prec@5 78.906 (81.343) Epoch: [54][7180/10010] Time 0.316 (0.328) Data 0.001 (0.001) Loss 1.8459 (1.7661) Prec@1 58.594 (59.711) Prec@5 80.469 (81.342) Epoch: [54][7190/10010] Time 0.319 (0.328) Data 0.001 (0.001) Loss 2.0058 (1.7662) Prec@1 55.469 (59.712) Prec@5 78.125 (81.340) Epoch: [54][7200/10010] Time 0.327 (0.328) Data 0.000 (0.001) Loss 1.5640 (1.7662) Prec@1 63.281 (59.710) Prec@5 85.156 (81.338) Epoch: [54][7210/10010] Time 0.324 (0.328) Data 0.001 (0.001) Loss 2.0227 (1.7663) Prec@1 56.250 (59.708) Prec@5 75.781 (81.338) Epoch: [54][7220/10010] Time 0.336 (0.328) Data 0.001 (0.001) Loss 1.4344 (1.7663) Prec@1 67.188 (59.710) Prec@5 84.375 (81.337) Epoch: [54][7230/10010] Time 0.333 (0.328) Data 0.000 (0.001) Loss 1.8894 (1.7663) Prec@1 55.469 (59.708) Prec@5 74.219 (81.337) Epoch: [54][7240/10010] Time 0.335 (0.328) Data 0.000 (0.001) Loss 1.8697 (1.7663) Prec@1 58.594 (59.709) Prec@5 78.125 (81.337) Epoch: [54][7250/10010] Time 0.332 (0.328) Data 0.001 (0.001) Loss 2.0024 (1.7663) Prec@1 54.688 (59.711) Prec@5 76.562 (81.338) Epoch: [54][7260/10010] Time 0.336 (0.328) Data 0.001 (0.001) Loss 1.5241 (1.7662) Prec@1 57.031 (59.711) Prec@5 87.500 (81.340) Epoch: [54][7270/10010] Time 0.333 (0.328) Data 0.001 (0.001) Loss 1.4883 (1.7662) Prec@1 68.750 (59.711) Prec@5 85.156 (81.340) Epoch: [54][7280/10010] Time 0.323 (0.328) Data 0.000 (0.001) Loss 1.8135 (1.7663) Prec@1 59.375 (59.710) Prec@5 81.250 (81.338) Epoch: [54][7290/10010] Time 0.341 (0.328) Data 0.001 (0.001) Loss 1.9061 (1.7664) Prec@1 59.375 (59.711) Prec@5 80.469 (81.337) Epoch: [54][7300/10010] Time 0.336 (0.328) Data 0.001 (0.001) Loss 1.7977 (1.7661) Prec@1 57.812 (59.715) Prec@5 84.375 (81.341) Epoch: [54][7310/10010] Time 0.315 (0.328) Data 0.001 (0.001) Loss 1.6375 (1.7660) Prec@1 67.969 (59.717) Prec@5 82.812 (81.343) Epoch: [54][7320/10010] Time 0.314 (0.328) Data 0.000 (0.001) Loss 1.7066 (1.7661) Prec@1 58.594 (59.715) Prec@5 82.812 (81.341) Epoch: [54][7330/10010] Time 0.324 (0.328) Data 0.001 (0.001) Loss 1.7515 (1.7661) Prec@1 62.500 (59.716) Prec@5 78.906 (81.343) Epoch: [54][7340/10010] Time 0.326 (0.328) Data 0.001 (0.001) Loss 1.7555 (1.7660) Prec@1 62.500 (59.718) Prec@5 81.250 (81.344) Epoch: [54][7350/10010] Time 0.325 (0.328) Data 0.000 (0.001) Loss 1.8875 (1.7661) Prec@1 57.031 (59.718) Prec@5 82.031 (81.343) Epoch: [54][7360/10010] Time 0.328 (0.328) Data 0.001 (0.001) Loss 1.8167 (1.7661) Prec@1 63.281 (59.719) Prec@5 75.000 (81.344) Epoch: [54][7370/10010] Time 0.329 (0.328) Data 0.001 (0.001) Loss 1.8820 (1.7660) Prec@1 56.250 (59.719) Prec@5 80.469 (81.344) Epoch: [54][7380/10010] Time 0.332 (0.328) Data 0.000 (0.001) Loss 1.9975 (1.7661) Prec@1 53.906 (59.717) Prec@5 75.781 (81.343) Epoch: [54][7390/10010] Time 0.328 (0.328) Data 0.001 (0.001) Loss 1.6202 (1.7660) Prec@1 64.844 (59.719) Prec@5 82.812 (81.344) Epoch: [54][7400/10010] Time 0.313 (0.328) Data 0.000 (0.001) Loss 1.5106 (1.7662) Prec@1 64.844 (59.716) Prec@5 88.281 (81.342) Epoch: [54][7410/10010] Time 0.323 (0.328) Data 0.000 (0.001) Loss 2.1932 (1.7661) Prec@1 52.344 (59.719) Prec@5 76.562 (81.341) Epoch: [54][7420/10010] Time 0.333 (0.328) Data 0.001 (0.001) Loss 1.8084 (1.7662) Prec@1 59.375 (59.719) Prec@5 78.906 (81.339) Epoch: [54][7430/10010] Time 0.323 (0.328) Data 0.001 (0.001) Loss 1.7288 (1.7662) Prec@1 58.594 (59.717) Prec@5 80.469 (81.339) Epoch: [54][7440/10010] Time 0.341 (0.328) Data 0.000 (0.001) Loss 1.6546 (1.7662) Prec@1 63.281 (59.717) Prec@5 85.156 (81.338) Epoch: [54][7450/10010] Time 0.332 (0.328) Data 0.001 (0.001) Loss 1.7242 (1.7663) Prec@1 56.250 (59.715) Prec@5 83.594 (81.338) Epoch: [54][7460/10010] Time 0.320 (0.328) Data 0.001 (0.001) Loss 1.6154 (1.7662) Prec@1 63.281 (59.716) Prec@5 85.938 (81.340) Epoch: [54][7470/10010] Time 0.309 (0.328) Data 0.001 (0.001) Loss 1.7656 (1.7663) Prec@1 57.031 (59.715) Prec@5 83.594 (81.340) Epoch: [54][7480/10010] Time 0.326 (0.328) Data 0.000 (0.001) Loss 2.0445 (1.7664) Prec@1 58.594 (59.713) Prec@5 75.781 (81.337) Epoch: [54][7490/10010] Time 0.334 (0.328) Data 0.001 (0.001) Loss 1.6237 (1.7664) Prec@1 64.062 (59.713) Prec@5 85.156 (81.338) Epoch: [54][7500/10010] Time 0.325 (0.328) Data 0.001 (0.001) Loss 1.8084 (1.7664) Prec@1 62.500 (59.712) Prec@5 82.031 (81.337) Epoch: [54][7510/10010] Time 0.333 (0.328) Data 0.000 (0.001) Loss 1.6062 (1.7664) Prec@1 59.375 (59.712) Prec@5 85.938 (81.338) Epoch: [54][7520/10010] Time 0.318 (0.328) Data 0.000 (0.001) Loss 1.4922 (1.7665) Prec@1 64.062 (59.710) Prec@5 84.375 (81.338) Epoch: [54][7530/10010] Time 0.339 (0.328) Data 0.001 (0.001) Loss 2.0264 (1.7666) Prec@1 51.562 (59.705) Prec@5 78.125 (81.336) Epoch: [54][7540/10010] Time 0.341 (0.328) Data 0.000 (0.001) Loss 1.8359 (1.7667) Prec@1 65.625 (59.704) Prec@5 79.688 (81.334) Epoch: [54][7550/10010] Time 0.318 (0.328) Data 0.001 (0.001) Loss 1.7216 (1.7666) Prec@1 57.812 (59.704) Prec@5 87.500 (81.337) Epoch: [54][7560/10010] Time 0.319 (0.328) Data 0.000 (0.001) Loss 1.6522 (1.7666) Prec@1 64.844 (59.704) Prec@5 82.812 (81.337) Epoch: [54][7570/10010] Time 0.337 (0.328) Data 0.001 (0.001) Loss 1.6505 (1.7667) Prec@1 61.719 (59.701) Prec@5 83.594 (81.337) Epoch: [54][7580/10010] Time 0.325 (0.328) Data 0.001 (0.001) Loss 1.4805 (1.7668) Prec@1 61.719 (59.699) Prec@5 85.156 (81.336) Epoch: [54][7590/10010] Time 0.337 (0.328) Data 0.001 (0.001) Loss 1.5892 (1.7668) Prec@1 65.625 (59.699) Prec@5 82.812 (81.335) Epoch: [54][7600/10010] Time 0.338 (0.328) Data 0.000 (0.001) Loss 2.0404 (1.7668) Prec@1 53.906 (59.701) Prec@5 78.125 (81.335) /data/vision/torralba/deepscene/lib/anaconda2/lib/python2.7/site-packages/PIL/TiffImagePlugin.py:709: UserWarning: Corrupt EXIF data. Expecting to read 4 bytes but only got 0. warnings.warn(str(msg)) Epoch: [54][7610/10010] Time 0.337 (0.328) Data 0.001 (0.001) Loss 1.8212 (1.7668) Prec@1 59.375 (59.702) Prec@5 78.906 (81.335) Epoch: [54][7620/10010] Time 0.321 (0.328) Data 0.001 (0.001) Loss 1.7788 (1.7668) Prec@1 61.719 (59.702) Prec@5 79.688 (81.336) Epoch: [54][7630/10010] Time 0.336 (0.328) Data 0.001 (0.001) Loss 1.7821 (1.7668) Prec@1 57.812 (59.698) Prec@5 78.906 (81.334) Epoch: [54][7640/10010] Time 0.324 (0.328) Data 0.000 (0.001) Loss 1.7778 (1.7668) Prec@1 64.062 (59.700) Prec@5 82.812 (81.335) Epoch: [54][7650/10010] Time 0.335 (0.328) Data 0.001 (0.001) Loss 1.8459 (1.7669) Prec@1 59.375 (59.697) Prec@5 75.781 (81.335) Epoch: [54][7660/10010] Time 0.341 (0.328) Data 0.001 (0.001) Loss 2.2173 (1.7670) Prec@1 55.469 (59.695) Prec@5 71.094 (81.332) Epoch: [54][7670/10010] Time 0.326 (0.328) Data 0.001 (0.001) Loss 1.6746 (1.7670) Prec@1 66.406 (59.696) Prec@5 82.812 (81.331) Epoch: [54][7680/10010] Time 0.334 (0.328) Data 0.000 (0.001) Loss 1.8231 (1.7670) Prec@1 57.812 (59.695) Prec@5 78.125 (81.330) Epoch: [54][7690/10010] Time 0.324 (0.328) Data 0.000 (0.001) Loss 1.9417 (1.7671) Prec@1 52.344 (59.693) Prec@5 75.000 (81.327) Epoch: [54][7700/10010] Time 0.337 (0.328) Data 0.001 (0.001) Loss 1.7554 (1.7671) Prec@1 57.812 (59.692) Prec@5 82.812 (81.324) Epoch: [54][7710/10010] Time 0.336 (0.328) Data 0.000 (0.001) Loss 1.9078 (1.7671) Prec@1 55.469 (59.691) Prec@5 77.344 (81.325) Epoch: [54][7720/10010] Time 0.330 (0.328) Data 0.001 (0.001) Loss 1.9266 (1.7672) Prec@1 55.469 (59.688) Prec@5 79.688 (81.324) Epoch: [54][7730/10010] Time 0.317 (0.328) Data 0.000 (0.001) Loss 1.5774 (1.7670) Prec@1 60.156 (59.690) Prec@5 84.375 (81.327) Epoch: [54][7740/10010] Time 0.341 (0.328) Data 0.001 (0.001) Loss 1.7314 (1.7672) Prec@1 57.812 (59.686) Prec@5 81.250 (81.324) Epoch: [54][7750/10010] Time 0.333 (0.328) Data 0.001 (0.001) Loss 1.9490 (1.7674) Prec@1 58.594 (59.685) Prec@5 77.344 (81.321) Epoch: [54][7760/10010] Time 0.318 (0.328) Data 0.000 (0.001) Loss 1.7797 (1.7675) Prec@1 57.812 (59.682) Prec@5 78.906 (81.318) Epoch: [54][7770/10010] Time 0.317 (0.328) Data 0.000 (0.001) Loss 1.8856 (1.7676) Prec@1 56.250 (59.681) Prec@5 80.469 (81.319) Epoch: [54][7780/10010] Time 0.314 (0.328) Data 0.001 (0.001) Loss 1.9374 (1.7677) Prec@1 52.344 (59.678) Prec@5 79.688 (81.318) Epoch: [54][7790/10010] Time 0.338 (0.328) Data 0.000 (0.001) Loss 1.5515 (1.7675) Prec@1 58.594 (59.682) Prec@5 84.375 (81.321) Epoch: [54][7800/10010] Time 0.323 (0.328) Data 0.000 (0.001) Loss 1.8809 (1.7675) Prec@1 59.375 (59.682) Prec@5 80.469 (81.321) Epoch: [54][7810/10010] Time 0.323 (0.328) Data 0.001 (0.001) Loss 1.4787 (1.7672) Prec@1 64.844 (59.686) Prec@5 85.156 (81.324) Epoch: [54][7820/10010] Time 0.319 (0.328) Data 0.001 (0.001) Loss 1.8553 (1.7673) Prec@1 58.594 (59.684) Prec@5 82.031 (81.325) Epoch: [54][7830/10010] Time 0.332 (0.328) Data 0.000 (0.001) Loss 1.6925 (1.7672) Prec@1 57.812 (59.685) Prec@5 82.031 (81.325) Epoch: [54][7840/10010] Time 0.330 (0.328) Data 0.001 (0.001) Loss 1.7279 (1.7672) Prec@1 60.156 (59.684) Prec@5 81.250 (81.325) Epoch: [54][7850/10010] Time 0.317 (0.328) Data 0.000 (0.001) Loss 1.7538 (1.7672) Prec@1 57.031 (59.682) Prec@5 82.031 (81.325) Epoch: [54][7860/10010] Time 0.333 (0.328) Data 0.001 (0.001) Loss 1.7286 (1.7673) Prec@1 60.938 (59.680) Prec@5 82.031 (81.325) Epoch: [54][7870/10010] Time 0.323 (0.328) Data 0.000 (0.001) Loss 1.8491 (1.7674) Prec@1 57.812 (59.679) Prec@5 78.125 (81.323) Epoch: [54][7880/10010] Time 0.322 (0.328) Data 0.001 (0.001) Loss 1.7914 (1.7674) Prec@1 57.031 (59.678) Prec@5 81.250 (81.322) Epoch: [54][7890/10010] Time 0.324 (0.328) Data 0.001 (0.001) Loss 1.6198 (1.7674) Prec@1 61.719 (59.678) Prec@5 84.375 (81.323) Epoch: [54][7900/10010] Time 0.327 (0.328) Data 0.001 (0.001) Loss 1.7821 (1.7674) Prec@1 60.156 (59.680) Prec@5 84.375 (81.324) Epoch: [54][7910/10010] Time 0.322 (0.328) Data 0.000 (0.001) Loss 1.6952 (1.7674) Prec@1 66.406 (59.681) Prec@5 82.031 (81.323) Epoch: [54][7920/10010] Time 0.309 (0.328) Data 0.001 (0.001) Loss 1.7559 (1.7673) Prec@1 55.469 (59.683) Prec@5 81.250 (81.323) Epoch: [54][7930/10010] Time 0.336 (0.328) Data 0.001 (0.001) Loss 1.7152 (1.7673) Prec@1 60.938 (59.683) Prec@5 81.250 (81.323) Epoch: [54][7940/10010] Time 0.319 (0.328) Data 0.000 (0.001) Loss 1.6120 (1.7673) Prec@1 62.500 (59.684) Prec@5 82.812 (81.324) Epoch: [54][7950/10010] Time 0.330 (0.328) Data 0.001 (0.001) Loss 1.9067 (1.7673) Prec@1 61.719 (59.684) Prec@5 81.250 (81.324) Epoch: [54][7960/10010] Time 0.329 (0.328) Data 0.001 (0.001) Loss 1.6701 (1.7673) Prec@1 54.688 (59.681) Prec@5 86.719 (81.324) Epoch: [54][7970/10010] Time 0.314 (0.328) Data 0.001 (0.001) Loss 1.7646 (1.7673) Prec@1 60.156 (59.680) Prec@5 81.250 (81.324) Epoch: [54][7980/10010] Time 0.314 (0.328) Data 0.001 (0.001) Loss 1.8605 (1.7673) Prec@1 57.812 (59.679) Prec@5 82.812 (81.325) Epoch: [54][7990/10010] Time 0.324 (0.328) Data 0.001 (0.001) Loss 2.0217 (1.7674) Prec@1 57.812 (59.678) Prec@5 74.219 (81.323) Epoch: [54][8000/10010] Time 0.324 (0.328) Data 0.001 (0.001) Loss 2.1869 (1.7675) Prec@1 49.219 (59.675) Prec@5 75.781 (81.322) Epoch: [54][8010/10010] Time 0.323 (0.328) Data 0.001 (0.001) Loss 1.8699 (1.7674) Prec@1 60.156 (59.676) Prec@5 75.781 (81.321) Epoch: [54][8020/10010] Time 0.317 (0.328) Data 0.000 (0.001) Loss 1.6581 (1.7674) Prec@1 62.500 (59.675) Prec@5 79.688 (81.321) Epoch: [54][8030/10010] Time 0.315 (0.328) Data 0.000 (0.001) Loss 1.8932 (1.7675) Prec@1 58.594 (59.674) Prec@5 77.344 (81.320) Epoch: [54][8040/10010] Time 0.332 (0.328) Data 0.001 (0.001) Loss 1.8371 (1.7676) Prec@1 61.719 (59.674) Prec@5 82.812 (81.318) Epoch: [54][8050/10010] Time 0.321 (0.328) Data 0.000 (0.001) Loss 1.9024 (1.7677) Prec@1 56.250 (59.673) Prec@5 80.469 (81.317) Epoch: [54][8060/10010] Time 0.334 (0.328) Data 0.001 (0.001) Loss 1.6526 (1.7676) Prec@1 60.156 (59.676) Prec@5 80.469 (81.318) Epoch: [54][8070/10010] Time 0.339 (0.328) Data 0.001 (0.001) Loss 1.3169 (1.7676) Prec@1 68.750 (59.677) Prec@5 86.719 (81.318) Epoch: [54][8080/10010] Time 0.337 (0.328) Data 0.001 (0.001) Loss 2.1460 (1.7677) Prec@1 46.875 (59.675) Prec@5 76.562 (81.317) Epoch: [54][8090/10010] Time 0.325 (0.328) Data 0.001 (0.001) Loss 1.5474 (1.7676) Prec@1 61.719 (59.677) Prec@5 88.281 (81.319) Epoch: [54][8100/10010] Time 0.328 (0.328) Data 0.000 (0.001) Loss 1.7144 (1.7677) Prec@1 61.719 (59.678) Prec@5 82.812 (81.318) Epoch: [54][8110/10010] Time 0.328 (0.328) Data 0.001 (0.001) Loss 1.5652 (1.7677) Prec@1 66.406 (59.679) Prec@5 83.594 (81.319) Epoch: [54][8120/10010] Time 0.315 (0.328) Data 0.001 (0.001) Loss 1.7601 (1.7677) Prec@1 55.469 (59.678) Prec@5 81.250 (81.320) Epoch: [54][8130/10010] Time 0.337 (0.328) Data 0.001 (0.001) Loss 1.9505 (1.7678) Prec@1 52.344 (59.677) Prec@5 78.906 (81.319) Epoch: [54][8140/10010] Time 0.337 (0.328) Data 0.000 (0.001) Loss 2.1195 (1.7678) Prec@1 51.562 (59.677) Prec@5 72.656 (81.317) Epoch: [54][8150/10010] Time 0.325 (0.328) Data 0.001 (0.001) Loss 1.4222 (1.7679) Prec@1 65.625 (59.675) Prec@5 85.156 (81.317) Epoch: [54][8160/10010] Time 0.326 (0.328) Data 0.001 (0.001) Loss 2.0922 (1.7679) Prec@1 53.125 (59.674) Prec@5 75.000 (81.316) Epoch: [54][8170/10010] Time 0.339 (0.328) Data 0.001 (0.001) Loss 1.7463 (1.7679) Prec@1 62.500 (59.675) Prec@5 80.469 (81.315) Epoch: [54][8180/10010] Time 0.326 (0.328) Data 0.000 (0.001) Loss 1.9089 (1.7679) Prec@1 58.594 (59.676) Prec@5 78.125 (81.315) Epoch: [54][8190/10010] Time 0.335 (0.328) Data 0.001 (0.001) Loss 1.8115 (1.7680) Prec@1 57.812 (59.675) Prec@5 80.469 (81.314) Epoch: [54][8200/10010] Time 0.320 (0.328) Data 0.001 (0.001) Loss 1.5762 (1.7680) Prec@1 67.188 (59.676) Prec@5 85.938 (81.314) Epoch: [54][8210/10010] Time 0.317 (0.328) Data 0.000 (0.001) Loss 1.8870 (1.7680) Prec@1 51.562 (59.674) Prec@5 78.125 (81.314) Epoch: [54][8220/10010] Time 0.334 (0.328) Data 0.001 (0.001) Loss 1.8066 (1.7681) Prec@1 60.156 (59.674) Prec@5 82.031 (81.313) Epoch: [54][8230/10010] Time 0.314 (0.328) Data 0.001 (0.001) Loss 1.7709 (1.7681) Prec@1 60.156 (59.673) Prec@5 82.031 (81.311) Epoch: [54][8240/10010] Time 0.341 (0.328) Data 0.001 (0.001) Loss 1.6863 (1.7682) Prec@1 65.625 (59.672) Prec@5 82.031 (81.311) Epoch: [54][8250/10010] Time 0.322 (0.328) Data 0.001 (0.001) Loss 2.0251 (1.7683) Prec@1 52.344 (59.671) Prec@5 78.906 (81.310) Epoch: [54][8260/10010] Time 0.318 (0.328) Data 0.001 (0.001) Loss 2.4775 (1.7684) Prec@1 47.656 (59.670) Prec@5 73.438 (81.310) Epoch: [54][8270/10010] Time 0.320 (0.328) Data 0.000 (0.001) Loss 2.0449 (1.7683) Prec@1 53.906 (59.671) Prec@5 73.438 (81.310) Epoch: [54][8280/10010] Time 0.324 (0.328) Data 0.001 (0.001) Loss 1.7394 (1.7684) Prec@1 57.812 (59.670) Prec@5 82.031 (81.308) Epoch: [54][8290/10010] Time 0.323 (0.328) Data 0.000 (0.001) Loss 1.4550 (1.7684) Prec@1 67.969 (59.671) Prec@5 85.156 (81.310) Epoch: [54][8300/10010] Time 0.336 (0.328) Data 0.000 (0.001) Loss 2.0117 (1.7685) Prec@1 52.344 (59.672) Prec@5 75.000 (81.308) Epoch: [54][8310/10010] Time 0.328 (0.328) Data 0.000 (0.001) Loss 1.5830 (1.7685) Prec@1 64.062 (59.673) Prec@5 82.812 (81.307) Epoch: [54][8320/10010] Time 0.319 (0.328) Data 0.001 (0.001) Loss 1.8070 (1.7686) Prec@1 57.031 (59.671) Prec@5 82.031 (81.306) Epoch: [54][8330/10010] Time 0.320 (0.328) Data 0.001 (0.001) Loss 1.5492 (1.7686) Prec@1 65.625 (59.670) Prec@5 83.594 (81.305) Epoch: [54][8340/10010] Time 0.335 (0.328) Data 0.001 (0.001) Loss 1.8554 (1.7687) Prec@1 54.688 (59.668) Prec@5 80.469 (81.303) Epoch: [54][8350/10010] Time 0.331 (0.328) Data 0.000 (0.001) Loss 1.7967 (1.7687) Prec@1 55.469 (59.668) Prec@5 81.250 (81.304) Epoch: [54][8360/10010] Time 0.320 (0.328) Data 0.001 (0.001) Loss 1.6264 (1.7686) Prec@1 62.500 (59.671) Prec@5 83.594 (81.304) Epoch: [54][8370/10010] Time 0.332 (0.328) Data 0.000 (0.001) Loss 1.8605 (1.7688) Prec@1 50.781 (59.669) Prec@5 79.688 (81.302) Epoch: [54][8380/10010] Time 0.335 (0.328) Data 0.000 (0.001) Loss 1.8159 (1.7687) Prec@1 62.500 (59.671) Prec@5 79.688 (81.304) Epoch: [54][8390/10010] Time 0.327 (0.328) Data 0.000 (0.001) Loss 1.9214 (1.7688) Prec@1 59.375 (59.672) Prec@5 77.344 (81.302) Epoch: [54][8400/10010] Time 0.310 (0.328) Data 0.001 (0.001) Loss 2.1364 (1.7689) Prec@1 50.781 (59.667) Prec@5 77.344 (81.298) Epoch: [54][8410/10010] Time 0.317 (0.328) Data 0.001 (0.001) Loss 1.8272 (1.7690) Prec@1 59.375 (59.664) Prec@5 80.469 (81.297) Epoch: [54][8420/10010] Time 0.329 (0.328) Data 0.000 (0.001) Loss 1.7657 (1.7691) Prec@1 58.594 (59.662) Prec@5 80.469 (81.296) Epoch: [54][8430/10010] Time 0.338 (0.328) Data 0.001 (0.001) Loss 1.9016 (1.7691) Prec@1 53.906 (59.662) Prec@5 80.469 (81.296) Epoch: [54][8440/10010] Time 0.338 (0.328) Data 0.001 (0.001) Loss 1.5425 (1.7690) Prec@1 69.531 (59.664) Prec@5 84.375 (81.295) Epoch: [54][8450/10010] Time 0.318 (0.328) Data 0.001 (0.001) Loss 1.7919 (1.7691) Prec@1 57.031 (59.663) Prec@5 84.375 (81.294) Epoch: [54][8460/10010] Time 0.339 (0.328) Data 0.000 (0.001) Loss 1.9437 (1.7691) Prec@1 53.125 (59.663) Prec@5 82.812 (81.295) Epoch: [54][8470/10010] Time 0.339 (0.328) Data 0.001 (0.001) Loss 1.5779 (1.7692) Prec@1 64.844 (59.662) Prec@5 84.375 (81.293) Epoch: [54][8480/10010] Time 0.329 (0.328) Data 0.001 (0.001) Loss 1.8437 (1.7693) Prec@1 55.469 (59.661) Prec@5 80.469 (81.292) Epoch: [54][8490/10010] Time 0.341 (0.328) Data 0.001 (0.001) Loss 1.7791 (1.7694) Prec@1 58.594 (59.660) Prec@5 84.375 (81.291) Epoch: [54][8500/10010] Time 0.337 (0.328) Data 0.000 (0.001) Loss 1.5577 (1.7694) Prec@1 67.969 (59.660) Prec@5 82.812 (81.292) Epoch: [54][8510/10010] Time 0.311 (0.328) Data 0.001 (0.001) Loss 1.7019 (1.7695) Prec@1 54.688 (59.658) Prec@5 86.719 (81.293) Epoch: [54][8520/10010] Time 0.325 (0.328) Data 0.001 (0.001) Loss 1.6235 (1.7694) Prec@1 65.625 (59.660) Prec@5 84.375 (81.294) Epoch: [54][8530/10010] Time 0.314 (0.328) Data 0.001 (0.001) Loss 1.7452 (1.7694) Prec@1 54.688 (59.660) Prec@5 85.156 (81.294) Epoch: [54][8540/10010] Time 0.319 (0.328) Data 0.001 (0.001) Loss 1.8259 (1.7695) Prec@1 61.719 (59.659) Prec@5 82.812 (81.293) Epoch: [54][8550/10010] Time 0.323 (0.328) Data 0.001 (0.001) Loss 1.8245 (1.7696) Prec@1 57.812 (59.658) Prec@5 81.250 (81.292) Epoch: [54][8560/10010] Time 0.344 (0.328) Data 0.001 (0.001) Loss 1.7862 (1.7696) Prec@1 57.812 (59.656) Prec@5 81.250 (81.293) Epoch: [54][8570/10010] Time 0.315 (0.328) Data 0.001 (0.001) Loss 1.6749 (1.7696) Prec@1 58.594 (59.655) Prec@5 84.375 (81.292) Epoch: [54][8580/10010] Time 0.333 (0.328) Data 0.001 (0.001) Loss 1.6409 (1.7695) Prec@1 60.938 (59.655) Prec@5 82.031 (81.294) Epoch: [54][8590/10010] Time 0.317 (0.328) Data 0.000 (0.001) Loss 1.6262 (1.7696) Prec@1 65.625 (59.653) Prec@5 85.156 (81.293) Epoch: [54][8600/10010] Time 0.337 (0.328) Data 0.000 (0.001) Loss 1.8429 (1.7697) Prec@1 57.031 (59.652) Prec@5 77.344 (81.291) Epoch: [54][8610/10010] Time 0.335 (0.328) Data 0.000 (0.001) Loss 1.7470 (1.7697) Prec@1 57.812 (59.651) Prec@5 84.375 (81.291) Epoch: [54][8620/10010] Time 0.328 (0.328) Data 0.001 (0.001) Loss 1.6345 (1.7696) Prec@1 64.844 (59.655) Prec@5 83.594 (81.292) Epoch: [54][8630/10010] Time 0.336 (0.328) Data 0.001 (0.001) Loss 2.1926 (1.7698) Prec@1 53.125 (59.652) Prec@5 73.438 (81.291) Epoch: [54][8640/10010] Time 0.312 (0.328) Data 0.001 (0.001) Loss 1.6992 (1.7698) Prec@1 59.375 (59.652) Prec@5 83.594 (81.290) Epoch: [54][8650/10010] Time 0.341 (0.328) Data 0.001 (0.001) Loss 2.0864 (1.7698) Prec@1 55.469 (59.650) Prec@5 77.344 (81.290) Epoch: [54][8660/10010] Time 0.319 (0.328) Data 0.001 (0.001) Loss 1.4931 (1.7699) Prec@1 67.969 (59.650) Prec@5 85.156 (81.291) Epoch: [54][8670/10010] Time 0.323 (0.328) Data 0.001 (0.001) Loss 1.7772 (1.7700) Prec@1 63.281 (59.649) Prec@5 80.469 (81.290) Epoch: [54][8680/10010] Time 0.326 (0.328) Data 0.001 (0.001) Loss 1.8501 (1.7701) Prec@1 60.938 (59.648) Prec@5 81.250 (81.290) Epoch: [54][8690/10010] Time 0.335 (0.328) Data 0.001 (0.001) Loss 1.7747 (1.7701) Prec@1 58.594 (59.647) Prec@5 80.469 (81.288) Epoch: [54][8700/10010] Time 0.339 (0.328) Data 0.000 (0.001) Loss 1.5338 (1.7702) Prec@1 63.281 (59.647) Prec@5 81.250 (81.287) Epoch: [54][8710/10010] Time 0.336 (0.328) Data 0.001 (0.001) Loss 1.7942 (1.7702) Prec@1 61.719 (59.645) Prec@5 80.469 (81.286) Epoch: [54][8720/10010] Time 0.338 (0.328) Data 0.001 (0.001) Loss 1.5889 (1.7702) Prec@1 61.719 (59.647) Prec@5 86.719 (81.288) Epoch: [54][8730/10010] Time 0.338 (0.328) Data 0.001 (0.001) Loss 1.8601 (1.7702) Prec@1 54.688 (59.646) Prec@5 81.250 (81.287) Epoch: [54][8740/10010] Time 0.317 (0.328) Data 0.001 (0.001) Loss 2.1139 (1.7702) Prec@1 52.344 (59.648) Prec@5 74.219 (81.286) Epoch: [54][8750/10010] Time 0.329 (0.328) Data 0.001 (0.001) Loss 1.9456 (1.7702) Prec@1 58.594 (59.650) Prec@5 78.125 (81.287) Epoch: [54][8760/10010] Time 0.319 (0.328) Data 0.000 (0.001) Loss 2.0631 (1.7703) Prec@1 54.688 (59.646) Prec@5 75.000 (81.286) Epoch: [54][8770/10010] Time 0.321 (0.328) Data 0.001 (0.001) Loss 1.6932 (1.7702) Prec@1 60.156 (59.648) Prec@5 80.469 (81.286) Epoch: [54][8780/10010] Time 0.322 (0.328) Data 0.001 (0.001) Loss 1.6480 (1.7703) Prec@1 64.062 (59.648) Prec@5 82.812 (81.284) Epoch: [54][8790/10010] Time 0.335 (0.328) Data 0.001 (0.001) Loss 1.7094 (1.7704) Prec@1 61.719 (59.646) Prec@5 78.906 (81.282) Epoch: [54][8800/10010] Time 0.320 (0.328) Data 0.001 (0.001) Loss 1.9511 (1.7704) Prec@1 49.219 (59.644) Prec@5 78.125 (81.282) Epoch: [54][8810/10010] Time 0.320 (0.328) Data 0.001 (0.001) Loss 1.5701 (1.7705) Prec@1 67.969 (59.646) Prec@5 80.469 (81.281) Epoch: [54][8820/10010] Time 0.330 (0.328) Data 0.001 (0.001) Loss 1.7396 (1.7706) Prec@1 61.719 (59.645) Prec@5 81.250 (81.280) Epoch: [54][8830/10010] Time 0.313 (0.328) Data 0.001 (0.001) Loss 1.7175 (1.7707) Prec@1 60.156 (59.643) Prec@5 82.812 (81.277) Epoch: [54][8840/10010] Time 0.319 (0.328) Data 0.001 (0.001) Loss 1.8085 (1.7708) Prec@1 59.375 (59.642) Prec@5 85.938 (81.277) Epoch: [54][8850/10010] Time 0.333 (0.328) Data 0.000 (0.001) Loss 1.9307 (1.7708) Prec@1 57.031 (59.644) Prec@5 77.344 (81.276) Epoch: [54][8860/10010] Time 0.342 (0.328) Data 0.001 (0.001) Loss 2.1225 (1.7709) Prec@1 54.688 (59.643) Prec@5 77.344 (81.275) Epoch: [54][8870/10010] Time 0.326 (0.328) Data 0.000 (0.001) Loss 1.7552 (1.7709) Prec@1 60.156 (59.643) Prec@5 82.031 (81.275) Epoch: [54][8880/10010] Time 0.333 (0.328) Data 0.001 (0.001) Loss 1.9341 (1.7708) Prec@1 57.031 (59.645) Prec@5 76.562 (81.277) Epoch: [54][8890/10010] Time 0.338 (0.328) Data 0.001 (0.001) Loss 1.8998 (1.7708) Prec@1 58.594 (59.645) Prec@5 78.906 (81.276) Epoch: [54][8900/10010] Time 0.333 (0.328) Data 0.000 (0.001) Loss 1.7564 (1.7708) Prec@1 60.156 (59.649) Prec@5 78.906 (81.278) Epoch: [54][8910/10010] Time 0.326 (0.328) Data 0.001 (0.001) Loss 1.7496 (1.7709) Prec@1 60.938 (59.646) Prec@5 82.812 (81.276) Epoch: [54][8920/10010] Time 0.334 (0.328) Data 0.001 (0.001) Loss 1.8611 (1.7710) Prec@1 59.375 (59.646) Prec@5 82.031 (81.277) Epoch: [54][8930/10010] Time 0.319 (0.328) Data 0.000 (0.001) Loss 1.7622 (1.7709) Prec@1 56.250 (59.645) Prec@5 83.594 (81.277) Epoch: [54][8940/10010] Time 0.334 (0.328) Data 0.000 (0.001) Loss 1.8890 (1.7710) Prec@1 60.938 (59.644) Prec@5 82.031 (81.276) Epoch: [54][8950/10010] Time 0.341 (0.328) Data 0.001 (0.001) Loss 1.8042 (1.7711) Prec@1 62.500 (59.644) Prec@5 81.250 (81.274) Epoch: [54][8960/10010] Time 0.338 (0.328) Data 0.001 (0.001) Loss 1.7493 (1.7711) Prec@1 60.156 (59.643) Prec@5 80.469 (81.272) Epoch: [54][8970/10010] Time 0.324 (0.328) Data 0.001 (0.001) Loss 2.0361 (1.7711) Prec@1 55.469 (59.643) Prec@5 74.219 (81.272) Epoch: [54][8980/10010] Time 0.314 (0.328) Data 0.001 (0.001) Loss 1.8725 (1.7712) Prec@1 52.344 (59.642) Prec@5 81.250 (81.271) Epoch: [54][8990/10010] Time 0.319 (0.328) Data 0.001 (0.001) Loss 1.6863 (1.7712) Prec@1 62.500 (59.643) Prec@5 80.469 (81.270) Epoch: [54][9000/10010] Time 0.335 (0.328) Data 0.001 (0.001) Loss 1.8160 (1.7712) Prec@1 59.375 (59.644) Prec@5 79.688 (81.269) Epoch: [54][9010/10010] Time 0.312 (0.328) Data 0.001 (0.001) Loss 1.7085 (1.7712) Prec@1 61.719 (59.643) Prec@5 82.812 (81.270) Epoch: [54][9020/10010] Time 0.332 (0.328) Data 0.001 (0.001) Loss 1.8347 (1.7711) Prec@1 61.719 (59.645) Prec@5 83.594 (81.272) Epoch: [54][9030/10010] Time 0.315 (0.328) Data 0.001 (0.001) Loss 1.6793 (1.7711) Prec@1 60.938 (59.645) Prec@5 79.688 (81.271) Epoch: [54][9040/10010] Time 0.342 (0.328) Data 0.001 (0.001) Loss 1.5346 (1.7711) Prec@1 64.062 (59.643) Prec@5 82.812 (81.270) Epoch: [54][9050/10010] Time 0.338 (0.328) Data 0.001 (0.001) Loss 1.7250 (1.7712) Prec@1 57.812 (59.645) Prec@5 84.375 (81.270) Epoch: [54][9060/10010] Time 0.324 (0.328) Data 0.000 (0.001) Loss 1.7676 (1.7710) Prec@1 54.688 (59.647) Prec@5 82.031 (81.272) Epoch: [54][9070/10010] Time 0.333 (0.328) Data 0.000 (0.001) Loss 1.8249 (1.7710) Prec@1 61.719 (59.647) Prec@5 78.906 (81.272) Epoch: [54][9080/10010] Time 0.335 (0.328) Data 0.001 (0.001) Loss 2.0038 (1.7711) Prec@1 62.500 (59.646) Prec@5 78.125 (81.270) Epoch: [54][9090/10010] Time 0.319 (0.328) Data 0.001 (0.001) Loss 1.8990 (1.7711) Prec@1 51.562 (59.646) Prec@5 79.688 (81.270) Epoch: [54][9100/10010] Time 0.333 (0.328) Data 0.001 (0.001) Loss 1.6836 (1.7711) Prec@1 60.156 (59.649) Prec@5 81.250 (81.272) Epoch: [54][9110/10010] Time 0.329 (0.328) Data 0.001 (0.001) Loss 1.7902 (1.7710) Prec@1 53.125 (59.649) Prec@5 85.156 (81.272) /data/vision/torralba/deepscene/lib/anaconda2/lib/python2.7/site-packages/PIL/TiffImagePlugin.py:692: UserWarning: Possibly corrupt EXIF data. Expecting to read 2555904 bytes but only got 0. Skipping tag 0 "Skipping tag %s" % (size, len(data), tag)) Epoch: [54][9120/10010] Time 0.313 (0.328) Data 0.001 (0.001) Loss 1.7412 (1.7710) Prec@1 63.281 (59.647) Prec@5 82.031 (81.273) Epoch: [54][9130/10010] Time 0.340 (0.328) Data 0.001 (0.001) Loss 1.5647 (1.7710) Prec@1 65.625 (59.648) Prec@5 84.375 (81.273) Epoch: [54][9140/10010] Time 0.339 (0.328) Data 0.001 (0.001) Loss 1.8159 (1.7711) Prec@1 57.031 (59.647) Prec@5 78.906 (81.273) Epoch: [54][9150/10010] Time 0.326 (0.328) Data 0.001 (0.001) Loss 1.7595 (1.7711) Prec@1 62.500 (59.647) Prec@5 84.375 (81.273) Epoch: [54][9160/10010] Time 0.333 (0.328) Data 0.001 (0.001) Loss 1.8233 (1.7711) Prec@1 57.031 (59.645) Prec@5 82.812 (81.273) Epoch: [54][9170/10010] Time 0.318 (0.328) Data 0.000 (0.001) Loss 2.0265 (1.7711) Prec@1 54.688 (59.645) Prec@5 77.344 (81.274) Epoch: [54][9180/10010] Time 0.333 (0.328) Data 0.001 (0.001) Loss 1.7449 (1.7711) Prec@1 58.594 (59.646) Prec@5 85.156 (81.275) Epoch: [54][9190/10010] Time 0.325 (0.328) Data 0.001 (0.001) Loss 1.8321 (1.7712) Prec@1 57.031 (59.644) Prec@5 78.906 (81.273) Epoch: [54][9200/10010] Time 0.336 (0.328) Data 0.001 (0.001) Loss 1.6864 (1.7712) Prec@1 53.906 (59.645) Prec@5 78.906 (81.272) Epoch: [54][9210/10010] Time 0.334 (0.328) Data 0.001 (0.001) Loss 2.0137 (1.7712) Prec@1 54.688 (59.646) Prec@5 79.688 (81.272) Epoch: [54][9220/10010] Time 0.326 (0.328) Data 0.001 (0.001) Loss 2.0723 (1.7714) Prec@1 53.125 (59.644) Prec@5 72.656 (81.268) Epoch: [54][9230/10010] Time 0.331 (0.328) Data 0.001 (0.001) Loss 1.8563 (1.7714) Prec@1 57.812 (59.646) Prec@5 77.344 (81.268) Epoch: [54][9240/10010] Time 0.318 (0.328) Data 0.001 (0.001) Loss 1.7109 (1.7714) Prec@1 64.062 (59.646) Prec@5 81.250 (81.267) Epoch: [54][9250/10010] Time 0.326 (0.328) Data 0.001 (0.001) Loss 1.5937 (1.7715) Prec@1 64.062 (59.647) Prec@5 83.594 (81.267) Epoch: [54][9260/10010] Time 0.315 (0.328) Data 0.000 (0.001) Loss 1.8804 (1.7715) Prec@1 57.812 (59.648) Prec@5 79.688 (81.265) Epoch: [54][9270/10010] Time 0.340 (0.328) Data 0.001 (0.001) Loss 1.9193 (1.7715) Prec@1 58.594 (59.650) Prec@5 77.344 (81.265) Epoch: [54][9280/10010] Time 0.322 (0.328) Data 0.001 (0.001) Loss 1.8961 (1.7715) Prec@1 57.812 (59.648) Prec@5 78.125 (81.265) Epoch: [54][9290/10010] Time 0.330 (0.328) Data 0.000 (0.001) Loss 1.2684 (1.7714) Prec@1 68.750 (59.649) Prec@5 92.188 (81.266) Epoch: [54][9300/10010] Time 0.321 (0.328) Data 0.001 (0.001) Loss 1.8203 (1.7715) Prec@1 60.156 (59.648) Prec@5 80.469 (81.265) Epoch: [54][9310/10010] Time 0.335 (0.328) Data 0.000 (0.001) Loss 1.6983 (1.7715) Prec@1 56.250 (59.645) Prec@5 82.812 (81.267) Epoch: [54][9320/10010] Time 0.318 (0.328) Data 0.000 (0.001) Loss 1.9353 (1.7716) Prec@1 53.906 (59.645) Prec@5 79.688 (81.265) Epoch: [54][9330/10010] Time 0.326 (0.328) Data 0.001 (0.001) Loss 2.2007 (1.7717) Prec@1 53.906 (59.643) Prec@5 73.438 (81.263) Epoch: [54][9340/10010] Time 0.336 (0.328) Data 0.001 (0.001) Loss 1.5146 (1.7717) Prec@1 66.406 (59.642) Prec@5 85.938 (81.261) Epoch: [54][9350/10010] Time 0.335 (0.328) Data 0.001 (0.001) Loss 1.7738 (1.7717) Prec@1 57.812 (59.643) Prec@5 83.594 (81.262) Epoch: [54][9360/10010] Time 0.317 (0.328) Data 0.001 (0.001) Loss 2.2570 (1.7717) Prec@1 50.781 (59.644) Prec@5 75.781 (81.261) Epoch: [54][9370/10010] Time 0.327 (0.328) Data 0.001 (0.001) Loss 1.6751 (1.7718) Prec@1 62.500 (59.643) Prec@5 75.781 (81.258) Epoch: [54][9380/10010] Time 0.334 (0.328) Data 0.000 (0.001) Loss 1.8774 (1.7717) Prec@1 62.500 (59.644) Prec@5 78.125 (81.258) Epoch: [54][9390/10010] Time 0.332 (0.328) Data 0.001 (0.001) Loss 1.7274 (1.7719) Prec@1 60.156 (59.642) Prec@5 78.906 (81.256) Epoch: [54][9400/10010] Time 0.327 (0.328) Data 0.001 (0.001) Loss 1.9393 (1.7720) Prec@1 54.688 (59.640) Prec@5 78.125 (81.253) Epoch: [54][9410/10010] Time 0.331 (0.328) Data 0.001 (0.001) Loss 1.6855 (1.7720) Prec@1 63.281 (59.640) Prec@5 83.594 (81.253) Epoch: [54][9420/10010] Time 0.323 (0.328) Data 0.001 (0.001) Loss 1.9534 (1.7721) Prec@1 57.031 (59.637) Prec@5 76.562 (81.251) Epoch: [54][9430/10010] Time 0.330 (0.328) Data 0.001 (0.001) Loss 2.3010 (1.7722) Prec@1 50.000 (59.636) Prec@5 74.219 (81.249) Epoch: [54][9440/10010] Time 0.334 (0.328) Data 0.001 (0.001) Loss 1.8311 (1.7722) Prec@1 57.812 (59.633) Prec@5 82.031 (81.250) Epoch: [54][9450/10010] Time 0.338 (0.328) Data 0.001 (0.001) Loss 1.7319 (1.7721) Prec@1 60.938 (59.635) Prec@5 78.906 (81.249) Epoch: [54][9460/10010] Time 0.336 (0.328) Data 0.000 (0.001) Loss 1.6241 (1.7721) Prec@1 60.938 (59.635) Prec@5 82.031 (81.250) Epoch: [54][9470/10010] Time 0.314 (0.328) Data 0.001 (0.001) Loss 1.7379 (1.7721) Prec@1 63.281 (59.633) Prec@5 82.031 (81.250) Epoch: [54][9480/10010] Time 0.327 (0.328) Data 0.001 (0.001) Loss 1.7790 (1.7721) Prec@1 53.125 (59.633) Prec@5 84.375 (81.250) Epoch: [54][9490/10010] Time 0.304 (0.328) Data 0.001 (0.001) Loss 1.5773 (1.7721) Prec@1 65.625 (59.635) Prec@5 82.812 (81.250) Epoch: [54][9500/10010] Time 0.337 (0.328) Data 0.000 (0.001) Loss 1.6045 (1.7721) Prec@1 55.469 (59.633) Prec@5 84.375 (81.249) Epoch: [54][9510/10010] Time 0.313 (0.328) Data 0.001 (0.001) Loss 1.6088 (1.7721) Prec@1 60.938 (59.636) Prec@5 81.250 (81.250) Epoch: [54][9520/10010] Time 0.327 (0.328) Data 0.001 (0.001) Loss 2.0632 (1.7722) Prec@1 57.031 (59.634) Prec@5 78.125 (81.249) Epoch: [54][9530/10010] Time 0.333 (0.328) Data 0.001 (0.001) Loss 1.8126 (1.7722) Prec@1 60.938 (59.635) Prec@5 79.688 (81.247) Epoch: [54][9540/10010] Time 0.313 (0.328) Data 0.000 (0.001) Loss 1.6313 (1.7722) Prec@1 57.812 (59.634) Prec@5 81.250 (81.246) Epoch: [54][9550/10010] Time 0.332 (0.328) Data 0.001 (0.001) Loss 1.9800 (1.7723) Prec@1 53.906 (59.633) Prec@5 76.562 (81.247) Epoch: [54][9560/10010] Time 0.324 (0.328) Data 0.000 (0.001) Loss 1.7118 (1.7723) Prec@1 64.844 (59.632) Prec@5 81.250 (81.246) Epoch: [54][9570/10010] Time 0.337 (0.328) Data 0.001 (0.001) Loss 1.7096 (1.7724) Prec@1 56.250 (59.631) Prec@5 83.594 (81.244) Epoch: [54][9580/10010] Time 0.332 (0.328) Data 0.000 (0.001) Loss 1.6106 (1.7724) Prec@1 58.594 (59.629) Prec@5 85.156 (81.245) Epoch: [54][9590/10010] Time 0.330 (0.328) Data 0.001 (0.001) Loss 2.0056 (1.7725) Prec@1 53.906 (59.628) Prec@5 80.469 (81.245) Epoch: [54][9600/10010] Time 0.324 (0.328) Data 0.001 (0.001) Loss 1.7288 (1.7724) Prec@1 64.844 (59.629) Prec@5 80.469 (81.245) Epoch: [54][9610/10010] Time 0.323 (0.328) Data 0.000 (0.001) Loss 1.8773 (1.7725) Prec@1 60.938 (59.628) Prec@5 76.562 (81.243) Epoch: [54][9620/10010] Time 0.316 (0.328) Data 0.001 (0.001) Loss 1.6733 (1.7725) Prec@1 60.938 (59.628) Prec@5 84.375 (81.243) Epoch: [54][9630/10010] Time 0.318 (0.328) Data 0.001 (0.001) Loss 1.7728 (1.7726) Prec@1 60.156 (59.627) Prec@5 80.469 (81.243) Epoch: [54][9640/10010] Time 0.318 (0.328) Data 0.001 (0.001) Loss 1.4895 (1.7725) Prec@1 68.750 (59.627) Prec@5 87.500 (81.243) Epoch: [54][9650/10010] Time 0.325 (0.328) Data 0.001 (0.001) Loss 1.7114 (1.7726) Prec@1 64.062 (59.625) Prec@5 85.156 (81.242) Epoch: [54][9660/10010] Time 0.336 (0.328) Data 0.001 (0.001) Loss 1.5227 (1.7725) Prec@1 62.500 (59.627) Prec@5 83.594 (81.243) Epoch: [54][9670/10010] Time 0.335 (0.328) Data 0.001 (0.001) Loss 1.8052 (1.7725) Prec@1 60.156 (59.626) Prec@5 80.469 (81.244) Epoch: [54][9680/10010] Time 0.328 (0.328) Data 0.001 (0.001) Loss 1.5521 (1.7724) Prec@1 64.844 (59.627) Prec@5 84.375 (81.244) Epoch: [54][9690/10010] Time 0.320 (0.328) Data 0.001 (0.001) Loss 1.6884 (1.7724) Prec@1 66.406 (59.628) Prec@5 82.031 (81.245) Epoch: [54][9700/10010] Time 0.323 (0.328) Data 0.000 (0.001) Loss 1.6407 (1.7725) Prec@1 66.406 (59.628) Prec@5 86.719 (81.245) Epoch: [54][9710/10010] Time 0.322 (0.328) Data 0.001 (0.001) Loss 1.9994 (1.7726) Prec@1 58.594 (59.625) Prec@5 78.906 (81.243) Epoch: [54][9720/10010] Time 0.334 (0.328) Data 0.001 (0.001) Loss 1.7465 (1.7726) Prec@1 57.031 (59.626) Prec@5 82.031 (81.243) Epoch: [54][9730/10010] Time 0.320 (0.328) Data 0.001 (0.001) Loss 1.8061 (1.7725) Prec@1 60.938 (59.626) Prec@5 82.031 (81.243) Epoch: [54][9740/10010] Time 0.332 (0.328) Data 0.001 (0.001) Loss 1.8480 (1.7725) Prec@1 57.031 (59.628) Prec@5 77.344 (81.243) Epoch: [54][9750/10010] Time 0.328 (0.328) Data 0.001 (0.001) Loss 1.4365 (1.7724) Prec@1 69.531 (59.630) Prec@5 90.625 (81.245) Epoch: [54][9760/10010] Time 0.332 (0.328) Data 0.001 (0.001) Loss 1.8336 (1.7724) Prec@1 53.906 (59.628) Prec@5 83.594 (81.245) Epoch: [54][9770/10010] Time 0.340 (0.328) Data 0.000 (0.001) Loss 1.7488 (1.7725) Prec@1 54.688 (59.627) Prec@5 82.031 (81.243) Epoch: [54][9780/10010] Time 0.338 (0.328) Data 0.001 (0.001) Loss 1.6645 (1.7724) Prec@1 64.062 (59.629) Prec@5 82.031 (81.244) Epoch: [54][9790/10010] Time 0.317 (0.328) Data 0.001 (0.001) Loss 1.8273 (1.7724) Prec@1 61.719 (59.628) Prec@5 78.906 (81.243) Epoch: [54][9800/10010] Time 0.331 (0.328) Data 0.001 (0.001) Loss 2.0235 (1.7724) Prec@1 58.594 (59.629) Prec@5 78.125 (81.242) Epoch: [54][9810/10010] Time 0.328 (0.328) Data 0.000 (0.001) Loss 1.6387 (1.7724) Prec@1 62.500 (59.630) Prec@5 82.031 (81.241) Epoch: [54][9820/10010] Time 0.335 (0.328) Data 0.000 (0.001) Loss 1.7130 (1.7724) Prec@1 56.250 (59.630) Prec@5 83.594 (81.240) Epoch: [54][9830/10010] Time 0.332 (0.328) Data 0.001 (0.001) Loss 1.8331 (1.7725) Prec@1 61.719 (59.630) Prec@5 76.562 (81.239) Epoch: [54][9840/10010] Time 0.337 (0.328) Data 0.001 (0.001) Loss 1.9633 (1.7725) Prec@1 54.688 (59.629) Prec@5 79.688 (81.240) Epoch: [54][9850/10010] Time 0.340 (0.328) Data 0.001 (0.001) Loss 1.6519 (1.7724) Prec@1 64.062 (59.631) Prec@5 82.031 (81.242) Epoch: [54][9860/10010] Time 0.342 (0.328) Data 0.000 (0.001) Loss 1.4384 (1.7723) Prec@1 62.500 (59.631) Prec@5 85.938 (81.243) Epoch: [54][9870/10010] Time 0.340 (0.328) Data 0.000 (0.001) Loss 1.6125 (1.7723) Prec@1 57.031 (59.629) Prec@5 82.812 (81.243) Epoch: [54][9880/10010] Time 0.314 (0.328) Data 0.000 (0.001) Loss 1.3938 (1.7722) Prec@1 63.281 (59.631) Prec@5 88.281 (81.246) Epoch: [54][9890/10010] Time 0.311 (0.328) Data 0.001 (0.001) Loss 1.7844 (1.7722) Prec@1 56.250 (59.630) Prec@5 81.250 (81.246) Epoch: [54][9900/10010] Time 0.318 (0.328) Data 0.001 (0.001) Loss 1.8583 (1.7723) Prec@1 61.719 (59.629) Prec@5 77.344 (81.246) Epoch: [54][9910/10010] Time 0.340 (0.328) Data 0.001 (0.001) Loss 1.7384 (1.7723) Prec@1 58.594 (59.629) Prec@5 84.375 (81.245) Epoch: [54][9920/10010] Time 0.320 (0.328) Data 0.000 (0.001) Loss 1.8782 (1.7723) Prec@1 55.469 (59.627) Prec@5 78.125 (81.245) Epoch: [54][9930/10010] Time 0.315 (0.328) Data 0.001 (0.001) Loss 1.9116 (1.7724) Prec@1 52.344 (59.624) Prec@5 82.031 (81.245) Epoch: [54][9940/10010] Time 0.338 (0.328) Data 0.001 (0.001) Loss 1.7747 (1.7724) Prec@1 57.031 (59.624) Prec@5 82.031 (81.244) Epoch: [54][9950/10010] Time 0.321 (0.328) Data 0.001 (0.001) Loss 1.7889 (1.7723) Prec@1 55.469 (59.626) Prec@5 82.031 (81.244) Epoch: [54][9960/10010] Time 0.336 (0.328) Data 0.001 (0.001) Loss 1.5819 (1.7724) Prec@1 60.938 (59.624) Prec@5 84.375 (81.243) Epoch: [54][9970/10010] Time 0.315 (0.328) Data 0.001 (0.001) Loss 1.7736 (1.7723) Prec@1 59.375 (59.627) Prec@5 78.125 (81.245) Epoch: [54][9980/10010] Time 0.331 (0.328) Data 0.001 (0.001) Loss 2.0593 (1.7724) Prec@1 53.125 (59.623) Prec@5 75.000 (81.241) Epoch: [54][9990/10010] Time 0.339 (0.328) Data 0.000 (0.001) Loss 1.8391 (1.7725) Prec@1 62.500 (59.623) Prec@5 79.688 (81.242) Epoch: [54][10000/10010] Time 0.312 (0.328) Data 0.000 (0.001) Loss 1.6397 (1.7724) Prec@1 60.156 (59.624) Prec@5 85.156 (81.243) Test: [0/391] Time 1.910 (1.910) Loss 1.0125 (1.0125) Prec@1 78.125 (78.125) Prec@5 89.844 (89.844) Test: [10/391] Time 0.106 (0.278) Loss 1.4014 (0.8418) Prec@1 70.312 (78.622) Prec@5 86.719 (93.395) Test: [20/391] Time 0.105 (0.195) Loss 1.2865 (1.1888) Prec@1 71.094 (71.503) Prec@5 86.719 (89.360) Test: [30/391] Time 0.108 (0.166) Loss 1.7269 (1.3338) Prec@1 64.844 (67.843) Prec@5 85.938 (88.105) Test: [40/391] Time 0.105 (0.151) Loss 1.4034 (1.1946) Prec@1 69.531 (71.113) Prec@5 85.156 (89.482) Test: [50/391] Time 0.101 (0.142) Loss 0.7020 (1.2255) Prec@1 80.469 (70.849) Prec@5 93.750 (88.909) Test: [60/391] Time 0.107 (0.137) Loss 1.1547 (1.1582) Prec@1 71.094 (72.208) Prec@5 91.406 (89.664) Test: [70/391] Time 0.104 (0.132) Loss 1.5945 (1.1971) Prec@1 59.375 (70.764) Prec@5 89.062 (89.591) Test: [80/391] Time 0.105 (0.129) Loss 1.1569 (1.2200) Prec@1 68.750 (69.522) Prec@5 90.625 (89.622) Test: [90/391] Time 0.101 (0.126) Loss 1.2575 (1.2275) Prec@1 53.906 (69.291) Prec@5 92.188 (89.638) Test: [100/391] Time 0.101 (0.124) Loss 0.8447 (1.2105) Prec@1 76.562 (69.090) Prec@5 96.094 (90.068) Test: [110/391] Time 0.125 (0.123) Loss 1.7814 (1.2065) Prec@1 47.656 (68.996) Prec@5 89.062 (90.245) Test: [120/391] Time 0.115 (0.123) Loss 1.2988 (1.2005) Prec@1 65.625 (69.260) Prec@5 90.625 (90.328) Test: [130/391] Time 0.097 (0.123) Loss 0.6128 (1.1950) Prec@1 86.719 (69.472) Prec@5 94.531 (90.446) Test: [140/391] Time 0.125 (0.123) Loss 1.5512 (1.1963) Prec@1 58.594 (69.437) Prec@5 87.500 (90.409) Test: [150/391] Time 0.120 (0.124) Loss 1.2506 (1.2014) Prec@1 58.594 (69.412) Prec@5 91.406 (90.299) Test: [160/391] Time 0.108 (0.122) Loss 1.0825 (1.2054) Prec@1 71.875 (69.391) Prec@5 91.406 (90.203) Test: [170/391] Time 0.125 (0.121) Loss 2.0543 (1.2413) Prec@1 48.438 (68.782) Prec@5 81.250 (89.702) Test: [180/391] Time 0.107 (0.120) Loss 2.5491 (1.2767) Prec@1 41.406 (68.042) Prec@5 78.906 (89.222) Test: [190/391] Time 0.105 (0.120) Loss 2.1528 (1.3131) Prec@1 46.875 (67.331) Prec@5 81.250 (88.703) Test: [200/391] Time 0.098 (0.119) Loss 1.5180 (1.3527) Prec@1 61.719 (66.667) Prec@5 87.500 (88.145) Test: [210/391] Time 0.117 (0.119) Loss 1.7026 (1.3709) Prec@1 58.594 (66.336) Prec@5 84.375 (87.900) Test: [220/391] Time 0.114 (0.119) Loss 1.1219 (1.3859) Prec@1 71.094 (66.067) Prec@5 89.844 (87.620) Test: [230/391] Time 0.101 (0.118) Loss 2.2031 (1.3980) Prec@1 51.562 (65.926) Prec@5 77.344 (87.463) Test: [240/391] Time 0.177 (0.118) Loss 1.6010 (1.4046) Prec@1 63.281 (65.881) Prec@5 82.031 (87.325) Test: [250/391] Time 0.103 (0.118) Loss 1.1091 (1.4293) Prec@1 75.781 (65.395) Prec@5 91.406 (87.008) Test: [260/391] Time 0.104 (0.117) Loss 2.0045 (1.4469) Prec@1 55.469 (65.017) Prec@5 78.125 (86.782) Test: [270/391] Time 0.102 (0.117) Loss 2.4764 (1.4561) Prec@1 38.281 (64.786) Prec@5 74.219 (86.644) Test: [280/391] Time 0.112 (0.116) Loss 1.4403 (1.4670) Prec@1 63.281 (64.613) Prec@5 87.500 (86.513) Test: [290/391] Time 0.107 (0.116) Loss 2.0758 (1.4837) Prec@1 44.531 (64.291) Prec@5 80.469 (86.214) Test: [300/391] Time 0.106 (0.116) Loss 1.6026 (1.4966) Prec@1 67.969 (64.127) Prec@5 81.250 (85.992) Test: [310/391] Time 0.116 (0.116) Loss 2.2318 (1.5098) Prec@1 59.375 (63.904) Prec@5 75.000 (85.767) Test: [320/391] Time 0.105 (0.116) Loss 0.9852 (1.5187) Prec@1 79.688 (63.802) Prec@5 92.188 (85.621) Test: [330/391] Time 0.101 (0.115) Loss 2.4251 (1.5410) Prec@1 45.312 (63.338) Prec@5 70.312 (85.279) Test: [340/391] Time 0.100 (0.115) Loss 1.6671 (1.5455) Prec@1 45.312 (63.153) Prec@5 89.062 (85.230) Test: [350/391] Time 0.102 (0.115) Loss 1.6667 (1.5517) Prec@1 60.938 (63.052) Prec@5 84.375 (85.121) Test: [360/391] Time 0.107 (0.115) Loss 1.9841 (1.5599) Prec@1 48.438 (62.900) Prec@5 79.688 (85.029) Test: [370/391] Time 0.103 (0.114) Loss 1.2708 (1.5571) Prec@1 62.500 (62.887) Prec@5 90.625 (85.057) Test: [380/391] Time 0.107 (0.114) Loss 1.0388 (1.5585) Prec@1 71.875 (62.900) Prec@5 92.188 (85.017) Test: [390/391] Time 0.071 (0.114) Loss 2.7884 (1.5509) Prec@1 37.500 (63.058) Prec@5 65.000 (85.132) * Prec@1 63.058 Prec@5 85.132 Epoch: [55][0/10010] Time 2.901 (2.901) Data 2.728 (2.728) Loss 1.5591 (1.5591) Prec@1 60.156 (60.156) Prec@5 85.156 (85.156) Epoch: [55][10/10010] Time 0.312 (0.551) Data 0.001 (0.249) Loss 2.0634 (1.8085) Prec@1 56.250 (58.665) Prec@5 77.344 (80.682) Epoch: [55][20/10010] Time 0.310 (0.438) Data 0.001 (0.130) Loss 1.5000 (1.7803) Prec@1 67.188 (59.189) Prec@5 83.594 (81.622) Epoch: [55][30/10010] Time 0.320 (0.399) Data 0.001 (0.089) Loss 1.8793 (1.7667) Prec@1 57.031 (59.778) Prec@5 81.250 (81.804) Epoch: [55][40/10010] Time 0.306 (0.379) Data 0.001 (0.067) Loss 1.9083 (1.7699) Prec@1 57.812 (59.470) Prec@5 80.469 (81.764) Epoch: [55][50/10010] Time 0.338 (0.369) Data 0.001 (0.054) Loss 1.9625 (1.7668) Prec@1 54.688 (59.666) Prec@5 78.906 (81.863) Epoch: [55][60/10010] Time 0.320 (0.362) Data 0.000 (0.045) Loss 1.7882 (1.7574) Prec@1 57.812 (59.862) Prec@5 79.688 (81.865) Epoch: [55][70/10010] Time 0.337 (0.359) Data 0.000 (0.039) Loss 1.2465 (1.7444) Prec@1 68.750 (60.134) Prec@5 90.625 (81.954) Epoch: [55][80/10010] Time 0.335 (0.355) Data 0.001 (0.034) Loss 1.8207 (1.7516) Prec@1 58.594 (59.915) Prec@5 78.906 (81.877) Epoch: [55][90/10010] Time 0.331 (0.352) Data 0.001 (0.031) Loss 1.8010 (1.7476) Prec@1 59.375 (60.096) Prec@5 82.031 (82.048) Epoch: [55][100/10010] Time 0.318 (0.349) Data 0.001 (0.028) Loss 1.4780 (1.7495) Prec@1 65.625 (60.087) Prec@5 82.812 (81.985) Epoch: [55][110/10010] Time 0.338 (0.346) Data 0.000 (0.025) Loss 1.8023 (1.7515) Prec@1 60.938 (59.987) Prec@5 81.250 (81.919) Epoch: [55][120/10010] Time 0.330 (0.345) Data 0.001 (0.023) Loss 1.3236 (1.7437) Prec@1 65.625 (60.285) Prec@5 87.500 (81.973) Epoch: [55][130/10010] Time 0.316 (0.344) Data 0.001 (0.021) Loss 1.8277 (1.7408) Prec@1 60.156 (60.299) Prec@5 79.688 (81.984) /data/vision/torralba/deepscene/lib/anaconda2/lib/python2.7/site-packages/PIL/TiffImagePlugin.py:692: UserWarning: Possibly corrupt EXIF data. Expecting to read 19660800 bytes but only got 0. Skipping tag 0 "Skipping tag %s" % (size, len(data), tag)) /data/vision/torralba/deepscene/lib/anaconda2/lib/python2.7/site-packages/PIL/TiffImagePlugin.py:692: UserWarning: Possibly corrupt EXIF data. Expecting to read 18481152 bytes but only got 0. Skipping tag 0 "Skipping tag %s" % (size, len(data), tag)) /data/vision/torralba/deepscene/lib/anaconda2/lib/python2.7/site-packages/PIL/TiffImagePlugin.py:692: UserWarning: Possibly corrupt EXIF data. Expecting to read 37093376 bytes but only got 0. Skipping tag 0 "Skipping tag %s" % (size, len(data), tag)) /data/vision/torralba/deepscene/lib/anaconda2/lib/python2.7/site-packages/PIL/TiffImagePlugin.py:692: UserWarning: Possibly corrupt EXIF data. Expecting to read 39976960 bytes but only got 0. Skipping tag 0 "Skipping tag %s" % (size, len(data), tag)) /data/vision/torralba/deepscene/lib/anaconda2/lib/python2.7/site-packages/PIL/TiffImagePlugin.py:692: UserWarning: Possibly corrupt EXIF data. Expecting to read 34865152 bytes but only got 0. Skipping tag 0 "Skipping tag %s" % (size, len(data), tag)) /data/vision/torralba/deepscene/lib/anaconda2/lib/python2.7/site-packages/PIL/TiffImagePlugin.py:709: UserWarning: Corrupt EXIF data. Expecting to read 12 bytes but only got 10. warnings.warn(str(msg)) Epoch: [55][140/10010] Time 0.333 (0.343) Data 0.001 (0.020) Loss 1.9106 (1.7469) Prec@1 58.594 (60.173) Prec@5 79.688 (81.904) Epoch: [55][150/10010] Time 0.329 (0.342) Data 0.001 (0.019) Loss 1.7212 (1.7484) Prec@1 63.281 (60.172) Prec@5 82.812 (81.866) Epoch: [55][160/10010] Time 0.315 (0.341) Data 0.001 (0.018) Loss 2.2118 (1.7523) Prec@1 46.094 (60.006) Prec@5 75.781 (81.813) Epoch: [55][170/10010] Time 0.330 (0.340) Data 0.000 (0.017) Loss 1.7868 (1.7508) Prec@1 58.594 (59.992) Prec@5 87.500 (81.944) Epoch: [55][180/10010] Time 0.311 (0.339) Data 0.001 (0.016) Loss 1.7671 (1.7520) Prec@1 58.594 (59.932) Prec@5 83.594 (81.945) Epoch: [55][190/10010] Time 0.333 (0.338) Data 0.000 (0.015) Loss 1.7413 (1.7482) Prec@1 58.594 (60.054) Prec@5 81.250 (81.978) Epoch: [55][200/10010] Time 0.321 (0.337) Data 0.000 (0.014) Loss 1.7219 (1.7467) Prec@1 58.594 (60.098) Prec@5 81.250 (81.969) Epoch: [55][210/10010] Time 0.320 (0.336) Data 0.001 (0.014) Loss 1.6000 (1.7443) Prec@1 61.719 (60.149) Prec@5 85.156 (81.987) Epoch: [55][220/10010] Time 0.333 (0.336) Data 0.001 (0.013) Loss 1.4721 (1.7397) Prec@1 66.406 (60.252) Prec@5 85.938 (82.056) Epoch: [55][230/10010] Time 0.326 (0.335) Data 0.000 (0.012) Loss 1.3467 (1.7386) Prec@1 71.094 (60.288) Prec@5 89.062 (82.085) Epoch: [55][240/10010] Time 0.324 (0.335) Data 0.001 (0.012) Loss 1.7403 (1.7382) Prec@1 62.500 (60.296) Prec@5 82.812 (82.054) Epoch: [55][250/10010] Time 0.337 (0.335) Data 0.000 (0.012) Loss 2.4414 (1.7414) Prec@1 41.406 (60.247) Prec@5 71.094 (81.997) Epoch: [55][260/10010] Time 0.329 (0.334) Data 0.000 (0.011) Loss 1.8267 (1.7417) Prec@1 59.375 (60.246) Prec@5 82.031 (81.986) Epoch: [55][270/10010] Time 0.333 (0.334) Data 0.001 (0.011) Loss 1.4748 (1.7443) Prec@1 67.188 (60.194) Prec@5 87.500 (81.925) Epoch: [55][280/10010] Time 0.317 (0.334) Data 0.000 (0.010) Loss 1.6067 (1.7436) Prec@1 61.719 (60.176) Prec@5 82.812 (81.912) Epoch: [55][290/10010] Time 0.318 (0.334) Data 0.001 (0.010) Loss 1.3762 (1.7458) Prec@1 64.844 (60.127) Prec@5 85.156 (81.851) Epoch: [55][300/10010] Time 0.317 (0.333) Data 0.001 (0.010) Loss 1.9029 (1.7482) Prec@1 58.594 (60.154) Prec@5 78.125 (81.792) Epoch: [55][310/10010] Time 0.344 (0.333) Data 0.000 (0.009) Loss 1.8047 (1.7485) Prec@1 53.906 (60.096) Prec@5 79.688 (81.788) Epoch: [55][320/10010] Time 0.326 (0.333) Data 0.001 (0.009) Loss 1.7805 (1.7474) Prec@1 64.062 (60.147) Prec@5 82.812 (81.790) Epoch: [55][330/10010] Time 0.320 (0.333) Data 0.001 (0.009) Loss 1.4398 (1.7468) Prec@1 67.188 (60.163) Prec@5 88.281 (81.802) Epoch: [55][340/10010] Time 0.317 (0.332) Data 0.001 (0.009) Loss 1.7167 (1.7458) Prec@1 59.375 (60.179) Prec@5 80.469 (81.809) Epoch: [55][350/10010] Time 0.314 (0.332) Data 0.001 (0.008) Loss 1.3276 (1.7444) Prec@1 67.188 (60.207) Prec@5 86.719 (81.835) Epoch: [55][360/10010] Time 0.314 (0.332) Data 0.002 (0.008) Loss 1.7885 (1.7434) Prec@1 51.562 (60.234) Prec@5 78.125 (81.834) Epoch: [55][370/10010] Time 0.323 (0.332) Data 0.001 (0.008) Loss 1.5020 (1.7414) Prec@1 64.844 (60.257) Prec@5 82.812 (81.848) Epoch: [55][380/10010] Time 0.320 (0.331) Data 0.000 (0.008) Loss 1.8484 (1.7438) Prec@1 60.156 (60.205) Prec@5 80.469 (81.820) Epoch: [55][390/10010] Time 0.334 (0.331) Data 0.001 (0.008) Loss 2.2798 (1.7477) Prec@1 45.312 (60.142) Prec@5 76.562 (81.789) Epoch: [55][400/10010] Time 0.313 (0.331) Data 0.001 (0.007) Loss 2.0949 (1.7506) Prec@1 51.562 (60.102) Prec@5 75.781 (81.747) Epoch: [55][410/10010] Time 0.320 (0.331) Data 0.001 (0.007) Loss 1.7383 (1.7494) Prec@1 67.969 (60.133) Prec@5 82.812 (81.746) Epoch: [55][420/10010] Time 0.334 (0.331) Data 0.001 (0.007) Loss 1.7165 (1.7489) Prec@1 64.062 (60.162) Prec@5 83.594 (81.747) Epoch: [55][430/10010] Time 0.335 (0.331) Data 0.001 (0.007) Loss 1.5286 (1.7466) Prec@1 68.750 (60.234) Prec@5 87.500 (81.779) Epoch: [55][440/10010] Time 0.317 (0.330) Data 0.001 (0.007) Loss 1.4757 (1.7449) Prec@1 61.719 (60.263) Prec@5 88.281 (81.812) Epoch: [55][450/10010] Time 0.321 (0.330) Data 0.001 (0.007) Loss 1.8620 (1.7449) Prec@1 58.594 (60.269) Prec@5 82.031 (81.823) Epoch: [55][460/10010] Time 0.326 (0.330) Data 0.000 (0.007) Loss 1.4454 (1.7421) Prec@1 67.969 (60.322) Prec@5 89.062 (81.882) Epoch: [55][470/10010] Time 0.339 (0.330) Data 0.001 (0.006) Loss 1.9633 (1.7442) Prec@1 53.906 (60.254) Prec@5 78.906 (81.849) Epoch: [55][480/10010] Time 0.320 (0.330) Data 0.001 (0.006) Loss 1.4922 (1.7428) Prec@1 60.938 (60.294) Prec@5 86.719 (81.857) Epoch: [55][490/10010] Time 0.331 (0.330) Data 0.001 (0.006) Loss 1.7545 (1.7422) Prec@1 59.375 (60.285) Prec@5 82.812 (81.867) Epoch: [55][500/10010] Time 0.325 (0.330) Data 0.001 (0.006) Loss 1.9147 (1.7419) Prec@1 56.250 (60.258) Prec@5 82.812 (81.882) Epoch: [55][510/10010] Time 0.327 (0.330) Data 0.000 (0.006) Loss 1.8292 (1.7422) Prec@1 60.156 (60.245) Prec@5 77.344 (81.891) Epoch: [55][520/10010] Time 0.316 (0.330) Data 0.001 (0.006) Loss 2.1218 (1.7438) Prec@1 53.125 (60.213) Prec@5 76.562 (81.842) Epoch: [55][530/10010] Time 0.336 (0.330) Data 0.000 (0.006) Loss 1.8012 (1.7450) Prec@1 62.500 (60.209) Prec@5 81.250 (81.802) Epoch: [55][540/10010] Time 0.325 (0.330) Data 0.001 (0.006) Loss 1.6105 (1.7442) Prec@1 67.969 (60.226) Prec@5 83.594 (81.793) Epoch: [55][550/10010] Time 0.328 (0.330) Data 0.001 (0.006) Loss 1.9369 (1.7449) Prec@1 54.688 (60.202) Prec@5 78.906 (81.777) Epoch: [55][560/10010] Time 0.335 (0.330) Data 0.001 (0.006) Loss 1.7000 (1.7443) Prec@1 61.719 (60.205) Prec@5 84.375 (81.788) Epoch: [55][570/10010] Time 0.340 (0.330) Data 0.000 (0.005) Loss 1.6666 (1.7445) Prec@1 55.469 (60.208) Prec@5 82.812 (81.778) Epoch: [55][580/10010] Time 0.329 (0.330) Data 0.001 (0.005) Loss 1.4369 (1.7441) Prec@1 65.625 (60.219) Prec@5 85.156 (81.766) Epoch: [55][590/10010] Time 0.314 (0.330) Data 0.001 (0.005) Loss 1.8352 (1.7448) Prec@1 55.469 (60.220) Prec@5 75.781 (81.751) Epoch: [55][600/10010] Time 0.336 (0.330) Data 0.000 (0.005) Loss 1.7258 (1.7452) Prec@1 58.594 (60.215) Prec@5 85.938 (81.736) Epoch: [55][610/10010] Time 0.338 (0.330) Data 0.001 (0.005) Loss 1.8705 (1.7461) Prec@1 51.562 (60.196) Prec@5 83.594 (81.741) Epoch: [55][620/10010] Time 0.313 (0.330) Data 0.001 (0.005) Loss 1.8820 (1.7477) Prec@1 57.031 (60.169) Prec@5 82.812 (81.734) Epoch: [55][630/10010] Time 0.338 (0.330) Data 0.001 (0.005) Loss 1.8054 (1.7474) Prec@1 61.719 (60.155) Prec@5 82.812 (81.743) Epoch: [55][640/10010] Time 0.337 (0.330) Data 0.001 (0.005) Loss 1.5867 (1.7472) Prec@1 64.062 (60.173) Prec@5 81.250 (81.744) Epoch: [55][650/10010] Time 0.322 (0.330) Data 0.001 (0.005) Loss 1.9579 (1.7474) Prec@1 60.156 (60.178) Prec@5 78.906 (81.755) Epoch: [55][660/10010] Time 0.323 (0.330) Data 0.001 (0.005) Loss 1.8378 (1.7486) Prec@1 64.062 (60.156) Prec@5 80.469 (81.732) Epoch: [55][670/10010] Time 0.327 (0.330) Data 0.000 (0.005) Loss 1.7811 (1.7484) Prec@1 63.281 (60.178) Prec@5 78.906 (81.724) Epoch: [55][680/10010] Time 0.329 (0.329) Data 0.001 (0.005) Loss 1.7183 (1.7477) Prec@1 61.719 (60.207) Prec@5 83.594 (81.730) Epoch: [55][690/10010] Time 0.318 (0.329) Data 0.001 (0.005) Loss 1.3595 (1.7466) Prec@1 66.406 (60.196) Prec@5 89.844 (81.750) Epoch: [55][700/10010] Time 0.321 (0.329) Data 0.001 (0.005) Loss 1.7982 (1.7458) Prec@1 59.375 (60.209) Prec@5 82.812 (81.752) Epoch: [55][710/10010] Time 0.318 (0.329) Data 0.001 (0.004) Loss 1.5644 (1.7436) Prec@1 59.375 (60.257) Prec@5 86.719 (81.796) Epoch: [55][720/10010] Time 0.331 (0.329) Data 0.001 (0.004) Loss 1.5942 (1.7441) Prec@1 64.062 (60.262) Prec@5 87.500 (81.787) Epoch: [55][730/10010] Time 0.323 (0.329) Data 0.001 (0.004) Loss 1.5975 (1.7438) Prec@1 61.719 (60.266) Prec@5 84.375 (81.807) Epoch: [55][740/10010] Time 0.327 (0.329) Data 0.001 (0.004) Loss 2.0865 (1.7440) Prec@1 58.594 (60.250) Prec@5 78.906 (81.814) Epoch: [55][750/10010] Time 0.341 (0.329) Data 0.000 (0.004) Loss 1.8225 (1.7434) Prec@1 57.031 (60.260) Prec@5 81.250 (81.813) Epoch: [55][760/10010] Time 0.335 (0.329) Data 0.001 (0.004) Loss 1.8320 (1.7424) Prec@1 62.500 (60.298) Prec@5 83.594 (81.840) Epoch: [55][770/10010] Time 0.319 (0.329) Data 0.001 (0.004) Loss 1.5663 (1.7413) Prec@1 67.969 (60.307) Prec@5 82.812 (81.862) Epoch: [55][780/10010] Time 0.332 (0.329) Data 0.000 (0.004) Loss 1.6225 (1.7409) Prec@1 67.188 (60.306) Prec@5 80.469 (81.865) Epoch: [55][790/10010] Time 0.333 (0.329) Data 0.001 (0.004) Loss 1.6074 (1.7416) Prec@1 64.062 (60.293) Prec@5 85.156 (81.851) Epoch: [55][800/10010] Time 0.323 (0.329) Data 0.001 (0.004) Loss 1.8081 (1.7411) Prec@1 58.594 (60.293) Prec@5 78.906 (81.854) Epoch: [55][810/10010] Time 0.333 (0.329) Data 0.001 (0.004) Loss 1.7757 (1.7412) Prec@1 61.719 (60.292) Prec@5 82.031 (81.843) Epoch: [55][820/10010] Time 0.314 (0.329) Data 0.001 (0.004) Loss 1.8900 (1.7409) Prec@1 58.594 (60.289) Prec@5 77.344 (81.843) Epoch: [55][830/10010] Time 0.338 (0.329) Data 0.001 (0.004) Loss 1.7451 (1.7422) Prec@1 63.281 (60.271) Prec@5 82.031 (81.824) Epoch: [55][840/10010] Time 0.322 (0.329) Data 0.001 (0.004) Loss 1.9916 (1.7424) Prec@1 57.031 (60.277) Prec@5 79.688 (81.825) Epoch: [55][850/10010] Time 0.340 (0.329) Data 0.001 (0.004) Loss 1.7899 (1.7421) Prec@1 54.688 (60.283) Prec@5 83.594 (81.828) Epoch: [55][860/10010] Time 0.338 (0.329) Data 0.001 (0.004) Loss 1.6736 (1.7414) Prec@1 64.062 (60.298) Prec@5 85.156 (81.843) Epoch: [55][870/10010] Time 0.340 (0.329) Data 0.000 (0.004) Loss 1.6607 (1.7406) Prec@1 66.406 (60.327) Prec@5 82.812 (81.848) Epoch: [55][880/10010] Time 0.332 (0.329) Data 0.000 (0.004) Loss 2.0171 (1.7408) Prec@1 56.250 (60.332) Prec@5 77.344 (81.836) Epoch: [55][890/10010] Time 0.336 (0.329) Data 0.001 (0.004) Loss 1.6581 (1.7409) Prec@1 53.125 (60.332) Prec@5 82.812 (81.833) Epoch: [55][900/10010] Time 0.336 (0.329) Data 0.001 (0.004) Loss 1.8935 (1.7414) Prec@1 57.031 (60.326) Prec@5 78.125 (81.827) Epoch: [55][910/10010] Time 0.314 (0.329) Data 0.000 (0.004) Loss 1.3588 (1.7420) Prec@1 70.312 (60.307) Prec@5 89.844 (81.808) Epoch: [55][920/10010] Time 0.319 (0.329) Data 0.001 (0.004) Loss 1.4949 (1.7406) Prec@1 67.969 (60.349) Prec@5 83.594 (81.824) Epoch: [55][930/10010] Time 0.333 (0.329) Data 0.001 (0.004) Loss 1.4668 (1.7407) Prec@1 64.062 (60.353) Prec@5 85.938 (81.820) Epoch: [55][940/10010] Time 0.327 (0.329) Data 0.001 (0.004) Loss 2.0522 (1.7412) Prec@1 54.688 (60.342) Prec@5 76.562 (81.818) Epoch: [55][950/10010] Time 0.340 (0.329) Data 0.001 (0.004) Loss 1.6951 (1.7414) Prec@1 61.719 (60.337) Prec@5 80.469 (81.807) Epoch: [55][960/10010] Time 0.320 (0.329) Data 0.001 (0.003) Loss 1.7300 (1.7415) Prec@1 61.719 (60.339) Prec@5 83.594 (81.809) Epoch: [55][970/10010] Time 0.314 (0.329) Data 0.001 (0.003) Loss 1.6724 (1.7418) Prec@1 58.594 (60.322) Prec@5 83.594 (81.799) Epoch: [55][980/10010] Time 0.326 (0.329) Data 0.001 (0.003) Loss 1.7795 (1.7407) Prec@1 65.625 (60.339) Prec@5 78.906 (81.813) Epoch: [55][990/10010] Time 0.341 (0.329) Data 0.000 (0.003) Loss 1.5057 (1.7408) Prec@1 64.062 (60.345) Prec@5 83.594 (81.813) Epoch: [55][1000/10010] Time 0.327 (0.329) Data 0.003 (0.003) Loss 1.5564 (1.7406) Prec@1 64.844 (60.358) Prec@5 87.500 (81.820) Epoch: [55][1010/10010] Time 0.324 (0.329) Data 0.001 (0.003) Loss 2.1514 (1.7412) Prec@1 51.562 (60.348) Prec@5 76.562 (81.809) Epoch: [55][1020/10010] Time 0.333 (0.329) Data 0.001 (0.003) Loss 2.0058 (1.7418) Prec@1 56.250 (60.325) Prec@5 78.125 (81.785) Epoch: [55][1030/10010] Time 0.319 (0.329) Data 0.001 (0.003) Loss 1.8388 (1.7410) Prec@1 55.469 (60.346) Prec@5 81.250 (81.797) Epoch: [55][1040/10010] Time 0.342 (0.329) Data 0.001 (0.003) Loss 1.4036 (1.7406) Prec@1 67.969 (60.349) Prec@5 87.500 (81.792) Epoch: [55][1050/10010] Time 0.331 (0.329) Data 0.001 (0.003) Loss 1.4983 (1.7397) Prec@1 63.281 (60.366) Prec@5 82.812 (81.810) Epoch: [55][1060/10010] Time 0.333 (0.329) Data 0.001 (0.003) Loss 1.6535 (1.7401) Prec@1 61.719 (60.354) Prec@5 82.031 (81.790) Epoch: [55][1070/10010] Time 0.320 (0.329) Data 0.000 (0.003) Loss 1.8543 (1.7402) Prec@1 58.594 (60.360) Prec@5 80.469 (81.785) Epoch: [55][1080/10010] Time 0.316 (0.329) Data 0.001 (0.003) Loss 1.7001 (1.7394) Prec@1 63.281 (60.363) Prec@5 82.031 (81.792) Epoch: [55][1090/10010] Time 0.320 (0.329) Data 0.001 (0.003) Loss 1.5601 (1.7400) Prec@1 64.844 (60.352) Prec@5 84.375 (81.781) Epoch: [55][1100/10010] Time 0.319 (0.329) Data 0.001 (0.003) Loss 1.6959 (1.7399) Prec@1 59.375 (60.349) Prec@5 85.156 (81.786) Epoch: [55][1110/10010] Time 0.320 (0.329) Data 0.001 (0.003) Loss 1.6433 (1.7413) Prec@1 57.812 (60.326) Prec@5 88.281 (81.775) Epoch: [55][1120/10010] Time 0.320 (0.329) Data 0.001 (0.003) Loss 1.5807 (1.7409) Prec@1 64.844 (60.352) Prec@5 84.375 (81.782) Epoch: [55][1130/10010] Time 0.329 (0.329) Data 0.001 (0.003) Loss 1.8189 (1.7409) Prec@1 57.812 (60.350) Prec@5 81.250 (81.787) Epoch: [55][1140/10010] Time 0.317 (0.329) Data 0.001 (0.003) Loss 1.8840 (1.7409) Prec@1 57.812 (60.353) Prec@5 78.906 (81.785) Epoch: [55][1150/10010] Time 0.336 (0.329) Data 0.001 (0.003) Loss 1.7295 (1.7414) Prec@1 64.062 (60.341) Prec@5 77.344 (81.769) Epoch: [55][1160/10010] Time 0.320 (0.329) Data 0.000 (0.003) Loss 1.9576 (1.7420) Prec@1 53.906 (60.331) Prec@5 76.562 (81.752) Epoch: [55][1170/10010] Time 0.315 (0.329) Data 0.000 (0.003) Loss 1.7580 (1.7421) Prec@1 60.938 (60.322) Prec@5 80.469 (81.745) Epoch: [55][1180/10010] Time 0.314 (0.329) Data 0.001 (0.003) Loss 1.9042 (1.7427) Prec@1 53.906 (60.307) Prec@5 78.906 (81.730) Epoch: [55][1190/10010] Time 0.340 (0.329) Data 0.001 (0.003) Loss 1.7014 (1.7428) Prec@1 62.500 (60.301) Prec@5 80.469 (81.735) Epoch: [55][1200/10010] Time 0.320 (0.329) Data 0.001 (0.003) Loss 1.8156 (1.7430) Prec@1 53.906 (60.292) Prec@5 79.688 (81.731) Epoch: [55][1210/10010] Time 0.314 (0.329) Data 0.001 (0.003) Loss 1.6747 (1.7435) Prec@1 64.844 (60.285) Prec@5 80.469 (81.728) Epoch: [55][1220/10010] Time 0.326 (0.329) Data 0.001 (0.003) Loss 1.5015 (1.7424) Prec@1 64.062 (60.303) Prec@5 89.062 (81.748) Epoch: [55][1230/10010] Time 0.325 (0.329) Data 0.000 (0.003) Loss 1.9659 (1.7430) Prec@1 54.688 (60.301) Prec@5 79.688 (81.732) Epoch: [55][1240/10010] Time 0.320 (0.329) Data 0.000 (0.003) Loss 1.7509 (1.7430) Prec@1 60.156 (60.302) Prec@5 80.469 (81.723) Epoch: [55][1250/10010] Time 0.325 (0.329) Data 0.001 (0.003) Loss 1.6405 (1.7431) Prec@1 64.062 (60.307) Prec@5 82.812 (81.728) Epoch: [55][1260/10010] Time 0.320 (0.329) Data 0.001 (0.003) Loss 1.6414 (1.7437) Prec@1 64.062 (60.305) Prec@5 83.594 (81.712) Epoch: [55][1270/10010] Time 0.318 (0.329) Data 0.000 (0.003) Loss 1.7082 (1.7450) Prec@1 64.844 (60.279) Prec@5 84.375 (81.695) Epoch: [55][1280/10010] Time 0.318 (0.329) Data 0.001 (0.003) Loss 1.8617 (1.7457) Prec@1 59.375 (60.269) Prec@5 78.906 (81.682) /data/vision/torralba/deepscene/lib/anaconda2/lib/python2.7/site-packages/PIL/TiffImagePlugin.py:692: UserWarning: Possibly corrupt EXIF data. Expecting to read 2555904 bytes but only got 0. Skipping tag 0 "Skipping tag %s" % (size, len(data), tag)) Epoch: [55][1290/10010] Time 0.338 (0.329) Data 0.001 (0.003) Loss 1.6665 (1.7459) Prec@1 60.156 (60.265) Prec@5 84.375 (81.683) Epoch: [55][1300/10010] Time 0.330 (0.329) Data 0.000 (0.003) Loss 2.1221 (1.7460) Prec@1 57.031 (60.270) Prec@5 75.781 (81.684) Epoch: [55][1310/10010] Time 0.325 (0.329) Data 0.001 (0.003) Loss 2.1093 (1.7461) Prec@1 53.125 (60.261) Prec@5 77.344 (81.681) Epoch: [55][1320/10010] Time 0.322 (0.329) Data 0.001 (0.003) Loss 1.2894 (1.7466) Prec@1 67.969 (60.239) Prec@5 89.062 (81.677) Epoch: [55][1330/10010] Time 0.330 (0.329) Data 0.000 (0.003) Loss 1.7041 (1.7472) Prec@1 64.844 (60.243) Prec@5 84.375 (81.666) Epoch: [55][1340/10010] Time 0.332 (0.329) Data 0.001 (0.003) Loss 1.5103 (1.7470) Prec@1 64.844 (60.242) Prec@5 86.719 (81.671) Epoch: [55][1350/10010] Time 0.326 (0.329) Data 0.001 (0.003) Loss 1.9781 (1.7476) Prec@1 56.250 (60.230) Prec@5 74.219 (81.658) Epoch: [55][1360/10010] Time 0.313 (0.329) Data 0.001 (0.003) Loss 1.5826 (1.7479) Prec@1 60.938 (60.210) Prec@5 85.938 (81.652) Epoch: [55][1370/10010] Time 0.333 (0.329) Data 0.000 (0.003) Loss 1.5430 (1.7475) Prec@1 62.500 (60.217) Prec@5 84.375 (81.652) Epoch: [55][1380/10010] Time 0.320 (0.328) Data 0.001 (0.003) Loss 2.2073 (1.7479) Prec@1 54.688 (60.205) Prec@5 73.438 (81.646) Epoch: [55][1390/10010] Time 0.325 (0.328) Data 0.001 (0.003) Loss 1.5338 (1.7479) Prec@1 61.719 (60.208) Prec@5 85.938 (81.641) Epoch: [55][1400/10010] Time 0.338 (0.328) Data 0.000 (0.003) Loss 2.0736 (1.7477) Prec@1 57.812 (60.227) Prec@5 75.000 (81.641) Epoch: [55][1410/10010] Time 0.320 (0.328) Data 0.000 (0.003) Loss 1.6865 (1.7470) Prec@1 63.281 (60.238) Prec@5 79.688 (81.653) Epoch: [55][1420/10010] Time 0.341 (0.328) Data 0.001 (0.003) Loss 1.8082 (1.7473) Prec@1 62.500 (60.236) Prec@5 81.250 (81.647) Epoch: [55][1430/10010] Time 0.329 (0.328) Data 0.001 (0.003) Loss 1.6907 (1.7468) Prec@1 57.812 (60.241) Prec@5 82.812 (81.667) Epoch: [55][1440/10010] Time 0.330 (0.329) Data 0.000 (0.003) Loss 1.5331 (1.7468) Prec@1 63.281 (60.236) Prec@5 84.375 (81.667) Epoch: [55][1450/10010] Time 0.322 (0.328) Data 0.001 (0.003) Loss 1.7481 (1.7474) Prec@1 60.938 (60.217) Prec@5 80.469 (81.654) Epoch: [55][1460/10010] Time 0.332 (0.329) Data 0.001 (0.003) Loss 1.6891 (1.7476) Prec@1 60.938 (60.213) Prec@5 82.812 (81.647) Epoch: [55][1470/10010] Time 0.315 (0.328) Data 0.001 (0.003) Loss 1.4824 (1.7475) Prec@1 62.500 (60.213) Prec@5 82.812 (81.642) Epoch: [55][1480/10010] Time 0.319 (0.328) Data 0.001 (0.003) Loss 1.5094 (1.7469) Prec@1 61.719 (60.220) Prec@5 84.375 (81.652) Epoch: [55][1490/10010] Time 0.328 (0.328) Data 0.000 (0.002) Loss 1.6177 (1.7466) Prec@1 57.031 (60.222) Prec@5 84.375 (81.662) Epoch: [55][1500/10010] Time 0.333 (0.328) Data 0.001 (0.002) Loss 1.6810 (1.7463) Prec@1 62.500 (60.229) Prec@5 84.375 (81.670) Epoch: [55][1510/10010] Time 0.317 (0.328) Data 0.001 (0.002) Loss 1.7190 (1.7464) Prec@1 61.719 (60.220) Prec@5 80.469 (81.668) Epoch: [55][1520/10010] Time 0.328 (0.328) Data 0.001 (0.002) Loss 2.0359 (1.7466) Prec@1 52.344 (60.216) Prec@5 77.344 (81.667) Epoch: [55][1530/10010] Time 0.340 (0.328) Data 0.001 (0.002) Loss 1.4652 (1.7464) Prec@1 61.719 (60.216) Prec@5 85.156 (81.666) Epoch: [55][1540/10010] Time 0.338 (0.328) Data 0.001 (0.002) Loss 1.5616 (1.7460) Prec@1 64.062 (60.222) Prec@5 85.938 (81.671) Epoch: [55][1550/10010] Time 0.328 (0.328) Data 0.000 (0.002) Loss 1.7852 (1.7460) Prec@1 60.938 (60.216) Prec@5 78.125 (81.667) Epoch: [55][1560/10010] Time 0.321 (0.328) Data 0.000 (0.002) Loss 1.8421 (1.7460) Prec@1 60.156 (60.216) Prec@5 83.594 (81.672) Epoch: [55][1570/10010] Time 0.327 (0.328) Data 0.001 (0.002) Loss 1.8132 (1.7462) Prec@1 57.812 (60.204) Prec@5 78.125 (81.669) Epoch: [55][1580/10010] Time 0.329 (0.328) Data 0.001 (0.002) Loss 2.3363 (1.7467) Prec@1 51.562 (60.197) Prec@5 74.219 (81.659) Epoch: [55][1590/10010] Time 0.335 (0.328) Data 0.000 (0.002) Loss 1.9079 (1.7464) Prec@1 60.938 (60.200) Prec@5 82.812 (81.663) Epoch: [55][1600/10010] Time 0.341 (0.328) Data 0.001 (0.002) Loss 1.7246 (1.7463) Prec@1 61.719 (60.192) Prec@5 80.469 (81.670) Epoch: [55][1610/10010] Time 0.339 (0.328) Data 0.000 (0.002) Loss 1.7493 (1.7459) Prec@1 61.719 (60.196) Prec@5 83.594 (81.680) Epoch: [55][1620/10010] Time 0.324 (0.328) Data 0.000 (0.002) Loss 1.9040 (1.7462) Prec@1 57.812 (60.188) Prec@5 81.250 (81.676) Epoch: [55][1630/10010] Time 0.329 (0.328) Data 0.000 (0.002) Loss 2.0233 (1.7460) Prec@1 53.906 (60.189) Prec@5 78.906 (81.677) Epoch: [55][1640/10010] Time 0.319 (0.328) Data 0.001 (0.002) Loss 1.7904 (1.7466) Prec@1 60.938 (60.183) Prec@5 79.688 (81.663) Epoch: [55][1650/10010] Time 0.335 (0.328) Data 0.001 (0.002) Loss 2.0043 (1.7470) Prec@1 55.469 (60.167) Prec@5 78.906 (81.660) Epoch: [55][1660/10010] Time 0.319 (0.328) Data 0.000 (0.002) Loss 1.4692 (1.7470) Prec@1 64.844 (60.168) Prec@5 86.719 (81.665) Epoch: [55][1670/10010] Time 0.315 (0.328) Data 0.001 (0.002) Loss 1.8539 (1.7471) Prec@1 59.375 (60.173) Prec@5 82.031 (81.667) Epoch: [55][1680/10010] Time 0.315 (0.328) Data 0.001 (0.002) Loss 1.8004 (1.7477) Prec@1 54.688 (60.172) Prec@5 81.250 (81.656) Epoch: [55][1690/10010] Time 0.317 (0.328) Data 0.001 (0.002) Loss 1.5033 (1.7468) Prec@1 64.062 (60.190) Prec@5 86.719 (81.670) Epoch: [55][1700/10010] Time 0.337 (0.328) Data 0.000 (0.002) Loss 1.7325 (1.7469) Prec@1 62.500 (60.200) Prec@5 78.125 (81.662) Epoch: [55][1710/10010] Time 0.320 (0.328) Data 0.001 (0.002) Loss 1.7815 (1.7466) Prec@1 62.500 (60.214) Prec@5 85.156 (81.666) Epoch: [55][1720/10010] Time 0.321 (0.328) Data 0.001 (0.002) Loss 1.8733 (1.7475) Prec@1 60.938 (60.198) Prec@5 77.344 (81.654) Epoch: [55][1730/10010] Time 0.317 (0.328) Data 0.000 (0.002) Loss 1.7086 (1.7472) Prec@1 61.719 (60.205) Prec@5 84.375 (81.660) /data/vision/torralba/deepscene/lib/anaconda2/lib/python2.7/site-packages/PIL/TiffImagePlugin.py:692: UserWarning: Possibly corrupt EXIF data. Expecting to read 1835008 bytes but only got 0. Skipping tag 0 "Skipping tag %s" % (size, len(data), tag)) Epoch: [55][1740/10010] Time 0.317 (0.328) Data 0.000 (0.002) Loss 1.8093 (1.7473) Prec@1 56.250 (60.208) Prec@5 79.688 (81.658) Epoch: [55][1750/10010] Time 0.316 (0.328) Data 0.001 (0.002) Loss 1.7470 (1.7478) Prec@1 60.938 (60.199) Prec@5 80.469 (81.654) Epoch: [55][1760/10010] Time 0.320 (0.328) Data 0.000 (0.002) Loss 1.7285 (1.7475) Prec@1 62.500 (60.212) Prec@5 82.812 (81.665) Epoch: [55][1770/10010] Time 0.320 (0.328) Data 0.000 (0.002) Loss 1.7903 (1.7473) Prec@1 62.500 (60.217) Prec@5 78.125 (81.668) Epoch: [55][1780/10010] Time 0.314 (0.328) Data 0.000 (0.002) Loss 1.8501 (1.7475) Prec@1 60.938 (60.216) Prec@5 78.906 (81.665) Epoch: [55][1790/10010] Time 0.305 (0.328) Data 0.001 (0.002) Loss 1.7733 (1.7475) Prec@1 57.812 (60.213) Prec@5 79.688 (81.664) Epoch: [55][1800/10010] Time 0.332 (0.328) Data 0.001 (0.002) Loss 1.5202 (1.7475) Prec@1 62.500 (60.209) Prec@5 86.719 (81.663) Epoch: [55][1810/10010] Time 0.339 (0.328) Data 0.001 (0.002) Loss 1.8463 (1.7473) Prec@1 57.812 (60.216) Prec@5 78.906 (81.665) Epoch: [55][1820/10010] Time 0.320 (0.328) Data 0.000 (0.002) Loss 2.1250 (1.7470) Prec@1 46.875 (60.219) Prec@5 75.781 (81.669) Epoch: [55][1830/10010] Time 0.332 (0.328) Data 0.001 (0.002) Loss 1.8317 (1.7467) Prec@1 58.594 (60.229) Prec@5 81.250 (81.675) Epoch: [55][1840/10010] Time 0.330 (0.328) Data 0.000 (0.002) Loss 1.8219 (1.7469) Prec@1 55.469 (60.235) Prec@5 78.125 (81.675) Epoch: [55][1850/10010] Time 0.313 (0.328) Data 0.001 (0.002) Loss 1.7431 (1.7470) Prec@1 59.375 (60.240) Prec@5 82.812 (81.675) Epoch: [55][1860/10010] Time 0.337 (0.328) Data 0.000 (0.002) Loss 1.4840 (1.7465) Prec@1 66.406 (60.248) Prec@5 84.375 (81.679) Epoch: [55][1870/10010] Time 0.325 (0.328) Data 0.001 (0.002) Loss 2.0296 (1.7471) Prec@1 50.000 (60.238) Prec@5 75.781 (81.660) Epoch: [55][1880/10010] Time 0.332 (0.328) Data 0.001 (0.002) Loss 1.8615 (1.7478) Prec@1 57.031 (60.219) Prec@5 81.250 (81.647) Epoch: [55][1890/10010] Time 0.324 (0.328) Data 0.001 (0.002) Loss 1.7532 (1.7481) Prec@1 60.938 (60.223) Prec@5 82.031 (81.641) Epoch: [55][1900/10010] Time 0.323 (0.328) Data 0.000 (0.002) Loss 1.6214 (1.7483) Prec@1 67.188 (60.224) Prec@5 82.031 (81.636) Epoch: [55][1910/10010] Time 0.338 (0.328) Data 0.001 (0.002) Loss 1.7045 (1.7481) Prec@1 58.594 (60.224) Prec@5 82.031 (81.639) Epoch: [55][1920/10010] Time 0.331 (0.328) Data 0.001 (0.002) Loss 1.8716 (1.7480) Prec@1 56.250 (60.223) Prec@5 81.250 (81.640) Epoch: [55][1930/10010] Time 0.322 (0.328) Data 0.001 (0.002) Loss 1.3985 (1.7477) Prec@1 60.938 (60.225) Prec@5 86.719 (81.645) Epoch: [55][1940/10010] Time 0.316 (0.328) Data 0.001 (0.002) Loss 1.6851 (1.7478) Prec@1 64.062 (60.218) Prec@5 84.375 (81.646) Epoch: [55][1950/10010] Time 0.321 (0.328) Data 0.000 (0.002) Loss 1.5263 (1.7472) Prec@1 68.750 (60.227) Prec@5 83.594 (81.659) Epoch: [55][1960/10010] Time 0.323 (0.328) Data 0.001 (0.002) Loss 1.5414 (1.7471) Prec@1 64.844 (60.226) Prec@5 85.156 (81.664) Epoch: [55][1970/10010] Time 0.331 (0.328) Data 0.000 (0.002) Loss 2.1061 (1.7474) Prec@1 56.250 (60.228) Prec@5 77.344 (81.653) Epoch: [55][1980/10010] Time 0.316 (0.328) Data 0.001 (0.002) Loss 1.7363 (1.7481) Prec@1 60.938 (60.218) Prec@5 78.906 (81.642) Epoch: [55][1990/10010] Time 0.328 (0.328) Data 0.001 (0.002) Loss 1.3245 (1.7476) Prec@1 66.406 (60.229) Prec@5 91.406 (81.650) Epoch: [55][2000/10010] Time 0.311 (0.328) Data 0.001 (0.002) Loss 1.8100 (1.7478) Prec@1 59.375 (60.225) Prec@5 82.031 (81.642) Epoch: [55][2010/10010] Time 0.336 (0.328) Data 0.000 (0.002) Loss 1.7978 (1.7475) Prec@1 58.594 (60.234) Prec@5 82.812 (81.642) Epoch: [55][2020/10010] Time 0.334 (0.328) Data 0.000 (0.002) Loss 1.9760 (1.7472) Prec@1 57.031 (60.240) Prec@5 79.688 (81.649) Epoch: [55][2030/10010] Time 0.327 (0.328) Data 0.001 (0.002) Loss 1.4664 (1.7471) Prec@1 67.188 (60.244) Prec@5 84.375 (81.655) Epoch: [55][2040/10010] Time 0.336 (0.328) Data 0.001 (0.002) Loss 1.6734 (1.7472) Prec@1 62.500 (60.240) Prec@5 79.688 (81.650) Epoch: [55][2050/10010] Time 0.317 (0.328) Data 0.001 (0.002) Loss 1.7667 (1.7471) Prec@1 55.469 (60.238) Prec@5 82.031 (81.652) Epoch: [55][2060/10010] Time 0.321 (0.328) Data 0.001 (0.002) Loss 1.5502 (1.7470) Prec@1 67.188 (60.232) Prec@5 84.375 (81.654) Epoch: [55][2070/10010] Time 0.332 (0.328) Data 0.001 (0.002) Loss 1.8908 (1.7470) Prec@1 54.688 (60.228) Prec@5 75.781 (81.651) Epoch: [55][2080/10010] Time 0.313 (0.328) Data 0.001 (0.002) Loss 2.0721 (1.7475) Prec@1 56.250 (60.216) Prec@5 78.125 (81.643) Epoch: [55][2090/10010] Time 0.317 (0.328) Data 0.000 (0.002) Loss 1.3748 (1.7478) Prec@1 64.062 (60.204) Prec@5 92.188 (81.639) Epoch: [55][2100/10010] Time 0.341 (0.327) Data 0.000 (0.002) Loss 1.8266 (1.7479) Prec@1 56.250 (60.200) Prec@5 78.125 (81.635) Epoch: [55][2110/10010] Time 0.328 (0.328) Data 0.000 (0.002) Loss 1.9038 (1.7483) Prec@1 60.156 (60.195) Prec@5 80.469 (81.627) Epoch: [55][2120/10010] Time 0.322 (0.328) Data 0.001 (0.002) Loss 1.8749 (1.7481) Prec@1 61.719 (60.205) Prec@5 78.906 (81.627) Epoch: [55][2130/10010] Time 0.338 (0.328) Data 0.001 (0.002) Loss 1.7561 (1.7483) Prec@1 55.469 (60.197) Prec@5 82.812 (81.622) Epoch: [55][2140/10010] Time 0.334 (0.328) Data 0.001 (0.002) Loss 1.9510 (1.7482) Prec@1 57.812 (60.204) Prec@5 76.562 (81.619) Epoch: [55][2150/10010] Time 0.320 (0.328) Data 0.001 (0.002) Loss 1.7041 (1.7481) Prec@1 61.719 (60.205) Prec@5 79.688 (81.622) Epoch: [55][2160/10010] Time 0.331 (0.328) Data 0.001 (0.002) Loss 1.3737 (1.7480) Prec@1 67.969 (60.203) Prec@5 84.375 (81.621) Epoch: [55][2170/10010] Time 0.316 (0.328) Data 0.001 (0.002) Loss 1.5924 (1.7480) Prec@1 67.188 (60.208) Prec@5 82.031 (81.619) Epoch: [55][2180/10010] Time 0.306 (0.328) Data 0.001 (0.002) Loss 1.4757 (1.7480) Prec@1 67.188 (60.204) Prec@5 85.156 (81.623) Epoch: [55][2190/10010] Time 0.322 (0.328) Data 0.001 (0.002) Loss 1.6831 (1.7482) Prec@1 64.062 (60.201) Prec@5 82.031 (81.618) Epoch: [55][2200/10010] Time 0.320 (0.328) Data 0.001 (0.002) Loss 1.5231 (1.7478) Prec@1 66.406 (60.212) Prec@5 82.812 (81.625) Epoch: [55][2210/10010] Time 0.319 (0.327) Data 0.001 (0.002) Loss 2.0142 (1.7480) Prec@1 50.781 (60.200) Prec@5 79.688 (81.623) Epoch: [55][2220/10010] Time 0.312 (0.327) Data 0.000 (0.002) Loss 1.5233 (1.7483) Prec@1 64.062 (60.189) Prec@5 83.594 (81.624) Epoch: [55][2230/10010] Time 0.327 (0.327) Data 0.001 (0.002) Loss 1.8553 (1.7482) Prec@1 56.250 (60.189) Prec@5 82.031 (81.627) Epoch: [55][2240/10010] Time 0.328 (0.327) Data 0.001 (0.002) Loss 2.0376 (1.7481) Prec@1 54.688 (60.197) Prec@5 80.469 (81.632) Epoch: [55][2250/10010] Time 0.324 (0.327) Data 0.003 (0.002) Loss 1.9620 (1.7485) Prec@1 51.562 (60.192) Prec@5 75.781 (81.623) Epoch: [55][2260/10010] Time 0.327 (0.327) Data 0.001 (0.002) Loss 1.6711 (1.7484) Prec@1 60.938 (60.192) Prec@5 85.156 (81.627) Epoch: [55][2270/10010] Time 0.338 (0.327) Data 0.000 (0.002) Loss 2.0064 (1.7488) Prec@1 58.594 (60.190) Prec@5 77.344 (81.618) Epoch: [55][2280/10010] Time 0.318 (0.327) Data 0.000 (0.002) Loss 1.7111 (1.7489) Prec@1 57.812 (60.185) Prec@5 83.594 (81.619) Epoch: [55][2290/10010] Time 0.344 (0.327) Data 0.001 (0.002) Loss 1.5904 (1.7489) Prec@1 62.500 (60.180) Prec@5 84.375 (81.618) Epoch: [55][2300/10010] Time 0.325 (0.327) Data 0.001 (0.002) Loss 1.8975 (1.7488) Prec@1 63.281 (60.180) Prec@5 77.344 (81.615) Epoch: [55][2310/10010] Time 0.319 (0.327) Data 0.001 (0.002) Loss 1.8053 (1.7495) Prec@1 58.594 (60.169) Prec@5 79.688 (81.602) Epoch: [55][2320/10010] Time 0.323 (0.327) Data 0.000 (0.002) Loss 2.3713 (1.7498) Prec@1 49.219 (60.162) Prec@5 71.094 (81.597) Epoch: [55][2330/10010] Time 0.313 (0.327) Data 0.001 (0.002) Loss 1.8901 (1.7501) Prec@1 56.250 (60.157) Prec@5 81.250 (81.591) Epoch: [55][2340/10010] Time 0.309 (0.327) Data 0.001 (0.002) Loss 1.7235 (1.7506) Prec@1 64.844 (60.149) Prec@5 80.469 (81.585) Epoch: [55][2350/10010] Time 0.337 (0.327) Data 0.000 (0.002) Loss 1.8275 (1.7506) Prec@1 58.594 (60.152) Prec@5 79.688 (81.585) Epoch: [55][2360/10010] Time 0.338 (0.327) Data 0.000 (0.002) Loss 1.8338 (1.7510) Prec@1 58.594 (60.143) Prec@5 81.250 (81.576) Epoch: [55][2370/10010] Time 0.325 (0.327) Data 0.001 (0.002) Loss 1.5690 (1.7508) Prec@1 60.938 (60.144) Prec@5 82.812 (81.581) Epoch: [55][2380/10010] Time 0.320 (0.327) Data 0.001 (0.002) Loss 1.6169 (1.7510) Prec@1 60.156 (60.138) Prec@5 82.812 (81.568) Epoch: [55][2390/10010] Time 0.330 (0.327) Data 0.000 (0.002) Loss 1.6829 (1.7509) Prec@1 55.469 (60.137) Prec@5 82.031 (81.571) Epoch: [55][2400/10010] Time 0.320 (0.327) Data 0.001 (0.002) Loss 1.4654 (1.7509) Prec@1 60.156 (60.135) Prec@5 87.500 (81.574) Epoch: [55][2410/10010] Time 0.315 (0.327) Data 0.001 (0.002) Loss 1.5043 (1.7508) Prec@1 61.719 (60.136) Prec@5 85.938 (81.577) Epoch: [55][2420/10010] Time 0.311 (0.327) Data 0.000 (0.002) Loss 1.7449 (1.7504) Prec@1 62.500 (60.148) Prec@5 78.125 (81.583) Epoch: [55][2430/10010] Time 0.341 (0.327) Data 0.000 (0.002) Loss 1.6023 (1.7503) Prec@1 60.938 (60.149) Prec@5 82.812 (81.587) Epoch: [55][2440/10010] Time 0.318 (0.327) Data 0.001 (0.002) Loss 1.6452 (1.7505) Prec@1 59.375 (60.146) Prec@5 83.594 (81.583) Epoch: [55][2450/10010] Time 0.342 (0.327) Data 0.001 (0.002) Loss 1.7984 (1.7507) Prec@1 56.250 (60.148) Prec@5 82.031 (81.588) Epoch: [55][2460/10010] Time 0.328 (0.327) Data 0.000 (0.002) Loss 1.6238 (1.7506) Prec@1 64.062 (60.154) Prec@5 83.594 (81.586) Epoch: [55][2470/10010] Time 0.333 (0.327) Data 0.001 (0.002) Loss 1.6770 (1.7507) Prec@1 61.719 (60.157) Prec@5 85.156 (81.586) Epoch: [55][2480/10010] Time 0.335 (0.327) Data 0.000 (0.002) Loss 2.0099 (1.7509) Prec@1 60.156 (60.150) Prec@5 78.125 (81.583) Epoch: [55][2490/10010] Time 0.327 (0.327) Data 0.001 (0.002) Loss 2.0538 (1.7512) Prec@1 60.156 (60.147) Prec@5 78.125 (81.578) Epoch: [55][2500/10010] Time 0.327 (0.327) Data 0.001 (0.002) Loss 1.7274 (1.7512) Prec@1 56.250 (60.142) Prec@5 85.156 (81.579) Epoch: [55][2510/10010] Time 0.337 (0.327) Data 0.001 (0.002) Loss 1.5793 (1.7512) Prec@1 60.156 (60.143) Prec@5 84.375 (81.580) Epoch: [55][2520/10010] Time 0.320 (0.327) Data 0.001 (0.002) Loss 1.3751 (1.7513) Prec@1 68.750 (60.136) Prec@5 87.500 (81.578) Epoch: [55][2530/10010] Time 0.331 (0.327) Data 0.001 (0.002) Loss 1.6747 (1.7513) Prec@1 59.375 (60.128) Prec@5 84.375 (81.578) Epoch: [55][2540/10010] Time 0.328 (0.327) Data 0.000 (0.002) Loss 1.2816 (1.7511) Prec@1 71.875 (60.133) Prec@5 87.500 (81.582) Epoch: [55][2550/10010] Time 0.336 (0.327) Data 0.000 (0.002) Loss 1.7644 (1.7511) Prec@1 58.594 (60.129) Prec@5 77.344 (81.581) Epoch: [55][2560/10010] Time 0.319 (0.327) Data 0.000 (0.002) Loss 2.1715 (1.7516) Prec@1 53.125 (60.120) Prec@5 76.562 (81.578) Epoch: [55][2570/10010] Time 0.333 (0.327) Data 0.000 (0.002) Loss 2.1191 (1.7517) Prec@1 56.250 (60.116) Prec@5 75.781 (81.580) Epoch: [55][2580/10010] Time 0.342 (0.327) Data 0.001 (0.002) Loss 2.3067 (1.7518) Prec@1 53.125 (60.118) Prec@5 75.781 (81.578) Epoch: [55][2590/10010] Time 0.335 (0.327) Data 0.001 (0.002) Loss 1.9640 (1.7523) Prec@1 57.812 (60.113) Prec@5 79.688 (81.571) Epoch: [55][2600/10010] Time 0.319 (0.327) Data 0.000 (0.002) Loss 2.0302 (1.7522) Prec@1 56.250 (60.114) Prec@5 78.125 (81.571) Epoch: [55][2610/10010] Time 0.339 (0.327) Data 0.001 (0.002) Loss 1.9863 (1.7521) Prec@1 55.469 (60.111) Prec@5 82.031 (81.573) Epoch: [55][2620/10010] Time 0.320 (0.327) Data 0.001 (0.002) Loss 1.8198 (1.7523) Prec@1 58.594 (60.102) Prec@5 82.031 (81.569) Epoch: [55][2630/10010] Time 0.340 (0.327) Data 0.000 (0.002) Loss 1.8357 (1.7522) Prec@1 56.250 (60.097) Prec@5 82.031 (81.570) Epoch: [55][2640/10010] Time 0.313 (0.327) Data 0.001 (0.002) Loss 1.5069 (1.7522) Prec@1 67.969 (60.098) Prec@5 85.156 (81.570) Epoch: [55][2650/10010] Time 0.327 (0.327) Data 0.001 (0.002) Loss 1.7999 (1.7523) Prec@1 60.156 (60.089) Prec@5 78.125 (81.570) Epoch: [55][2660/10010] Time 0.330 (0.327) Data 0.001 (0.002) Loss 1.6489 (1.7527) Prec@1 63.281 (60.078) Prec@5 82.812 (81.564) Epoch: [55][2670/10010] Time 0.325 (0.327) Data 0.001 (0.002) Loss 1.9868 (1.7527) Prec@1 60.938 (60.080) Prec@5 75.781 (81.562) Epoch: [55][2680/10010] Time 0.337 (0.327) Data 0.001 (0.002) Loss 1.5988 (1.7528) Prec@1 61.719 (60.077) Prec@5 85.156 (81.561) Epoch: [55][2690/10010] Time 0.318 (0.327) Data 0.001 (0.002) Loss 1.8641 (1.7525) Prec@1 57.812 (60.077) Prec@5 79.688 (81.565) Epoch: [55][2700/10010] Time 0.318 (0.327) Data 0.001 (0.002) Loss 2.2810 (1.7528) Prec@1 53.125 (60.073) Prec@5 74.219 (81.558) Epoch: [55][2710/10010] Time 0.341 (0.327) Data 0.001 (0.002) Loss 1.6821 (1.7530) Prec@1 64.062 (60.070) Prec@5 82.031 (81.554) Epoch: [55][2720/10010] Time 0.329 (0.327) Data 0.001 (0.002) Loss 1.7074 (1.7531) Prec@1 59.375 (60.064) Prec@5 80.469 (81.553) Epoch: [55][2730/10010] Time 0.326 (0.327) Data 0.001 (0.002) Loss 1.6524 (1.7531) Prec@1 67.188 (60.063) Prec@5 80.469 (81.555) Epoch: [55][2740/10010] Time 0.332 (0.327) Data 0.001 (0.002) Loss 1.8015 (1.7532) Prec@1 64.062 (60.063) Prec@5 82.031 (81.557) Epoch: [55][2750/10010] Time 0.309 (0.327) Data 0.001 (0.002) Loss 1.3128 (1.7532) Prec@1 66.406 (60.062) Prec@5 90.625 (81.557) Epoch: [55][2760/10010] Time 0.318 (0.327) Data 0.001 (0.002) Loss 1.6450 (1.7528) Prec@1 60.938 (60.070) Prec@5 82.812 (81.563) Epoch: [55][2770/10010] Time 0.316 (0.327) Data 0.001 (0.002) Loss 1.6266 (1.7530) Prec@1 62.500 (60.066) Prec@5 85.938 (81.556) Epoch: [55][2780/10010] Time 0.334 (0.327) Data 0.001 (0.002) Loss 1.6266 (1.7529) Prec@1 64.062 (60.067) Prec@5 82.031 (81.558) Epoch: [55][2790/10010] Time 0.325 (0.327) Data 0.001 (0.002) Loss 1.3844 (1.7523) Prec@1 69.531 (60.076) Prec@5 89.844 (81.568) Epoch: [55][2800/10010] Time 0.316 (0.327) Data 0.001 (0.002) Loss 1.8319 (1.7524) Prec@1 60.938 (60.079) Prec@5 81.250 (81.566) Epoch: [55][2810/10010] Time 0.309 (0.327) Data 0.001 (0.002) Loss 1.7380 (1.7525) Prec@1 61.719 (60.076) Prec@5 82.031 (81.563) Epoch: [55][2820/10010] Time 0.337 (0.327) Data 0.001 (0.002) Loss 1.5688 (1.7528) Prec@1 65.625 (60.072) Prec@5 83.594 (81.555) Epoch: [55][2830/10010] Time 0.315 (0.327) Data 0.001 (0.002) Loss 1.7262 (1.7529) Prec@1 63.281 (60.072) Prec@5 79.688 (81.556) Epoch: [55][2840/10010] Time 0.328 (0.327) Data 0.001 (0.002) Loss 1.6541 (1.7527) Prec@1 63.281 (60.072) Prec@5 80.469 (81.556) Epoch: [55][2850/10010] Time 0.318 (0.327) Data 0.001 (0.002) Loss 1.8777 (1.7531) Prec@1 61.719 (60.066) Prec@5 81.250 (81.551) Epoch: [55][2860/10010] Time 0.321 (0.327) Data 0.001 (0.002) Loss 1.7087 (1.7532) Prec@1 56.250 (60.063) Prec@5 84.375 (81.548) Epoch: [55][2870/10010] Time 0.326 (0.327) Data 0.000 (0.002) Loss 1.9471 (1.7534) Prec@1 60.156 (60.065) Prec@5 74.219 (81.543) Epoch: [55][2880/10010] Time 0.318 (0.327) Data 0.001 (0.002) Loss 1.8399 (1.7537) Prec@1 61.719 (60.060) Prec@5 78.906 (81.541) Epoch: [55][2890/10010] Time 0.328 (0.327) Data 0.001 (0.002) Loss 1.8239 (1.7537) Prec@1 57.031 (60.059) Prec@5 82.031 (81.539) Epoch: [55][2900/10010] Time 0.330 (0.327) Data 0.001 (0.002) Loss 1.7311 (1.7538) Prec@1 57.812 (60.060) Prec@5 80.469 (81.538) Epoch: [55][2910/10010] Time 0.319 (0.327) Data 0.001 (0.002) Loss 1.9162 (1.7542) Prec@1 53.125 (60.056) Prec@5 78.906 (81.532) Epoch: [55][2920/10010] Time 0.331 (0.327) Data 0.001 (0.002) Loss 1.6106 (1.7540) Prec@1 64.062 (60.057) Prec@5 84.375 (81.534) Epoch: [55][2930/10010] Time 0.324 (0.327) Data 0.001 (0.002) Loss 2.0252 (1.7542) Prec@1 50.000 (60.045) Prec@5 79.688 (81.532) Epoch: [55][2940/10010] Time 0.315 (0.327) Data 0.001 (0.002) Loss 1.6532 (1.7543) Prec@1 57.031 (60.042) Prec@5 82.812 (81.535) Epoch: [55][2950/10010] Time 0.323 (0.327) Data 0.001 (0.002) Loss 1.6319 (1.7542) Prec@1 64.062 (60.041) Prec@5 82.812 (81.534) Epoch: [55][2960/10010] Time 0.319 (0.327) Data 0.001 (0.002) Loss 1.4922 (1.7541) Prec@1 65.625 (60.046) Prec@5 88.281 (81.536) Epoch: [55][2970/10010] Time 0.326 (0.327) Data 0.001 (0.002) Loss 1.9673 (1.7539) Prec@1 57.812 (60.049) Prec@5 81.250 (81.540) Epoch: [55][2980/10010] Time 0.332 (0.327) Data 0.000 (0.002) Loss 1.5688 (1.7543) Prec@1 64.062 (60.044) Prec@5 82.031 (81.531) Epoch: [55][2990/10010] Time 0.337 (0.327) Data 0.001 (0.002) Loss 1.8526 (1.7541) Prec@1 53.906 (60.050) Prec@5 81.250 (81.533) Epoch: [55][3000/10010] Time 0.322 (0.327) Data 0.000 (0.002) Loss 1.8184 (1.7544) Prec@1 57.031 (60.042) Prec@5 80.469 (81.530) Epoch: [55][3010/10010] Time 0.325 (0.327) Data 0.001 (0.002) Loss 1.7612 (1.7543) Prec@1 60.156 (60.043) Prec@5 84.375 (81.528) Epoch: [55][3020/10010] Time 0.332 (0.327) Data 0.001 (0.002) Loss 1.9249 (1.7546) Prec@1 60.156 (60.033) Prec@5 75.000 (81.520) Epoch: [55][3030/10010] Time 0.315 (0.327) Data 0.000 (0.002) Loss 1.9140 (1.7546) Prec@1 53.125 (60.026) Prec@5 78.125 (81.520) Epoch: [55][3040/10010] Time 0.338 (0.327) Data 0.001 (0.002) Loss 1.7663 (1.7549) Prec@1 62.500 (60.018) Prec@5 82.031 (81.514) Epoch: [55][3050/10010] Time 0.319 (0.327) Data 0.001 (0.002) Loss 1.5167 (1.7545) Prec@1 63.281 (60.023) Prec@5 85.156 (81.516) Epoch: [55][3060/10010] Time 0.315 (0.327) Data 0.001 (0.002) Loss 1.7521 (1.7547) Prec@1 62.500 (60.023) Prec@5 79.688 (81.516) Epoch: [55][3070/10010] Time 0.331 (0.327) Data 0.000 (0.002) Loss 1.7405 (1.7545) Prec@1 60.156 (60.029) Prec@5 78.125 (81.518) Epoch: [55][3080/10010] Time 0.340 (0.327) Data 0.001 (0.002) Loss 1.5640 (1.7546) Prec@1 62.500 (60.024) Prec@5 82.812 (81.520) Epoch: [55][3090/10010] Time 0.331 (0.327) Data 0.001 (0.002) Loss 1.8839 (1.7547) Prec@1 59.375 (60.021) Prec@5 79.688 (81.518) Epoch: [55][3100/10010] Time 0.313 (0.327) Data 0.000 (0.002) Loss 1.8644 (1.7544) Prec@1 58.594 (60.028) Prec@5 79.688 (81.520) Epoch: [55][3110/10010] Time 0.326 (0.327) Data 0.000 (0.002) Loss 1.7955 (1.7544) Prec@1 57.812 (60.029) Prec@5 79.688 (81.521) Epoch: [55][3120/10010] Time 0.332 (0.327) Data 0.000 (0.002) Loss 1.9466 (1.7546) Prec@1 56.250 (60.025) Prec@5 76.562 (81.520) Epoch: [55][3130/10010] Time 0.339 (0.327) Data 0.001 (0.002) Loss 1.4071 (1.7547) Prec@1 73.438 (60.023) Prec@5 84.375 (81.520) Epoch: [55][3140/10010] Time 0.331 (0.327) Data 0.000 (0.002) Loss 1.5490 (1.7547) Prec@1 65.625 (60.022) Prec@5 81.250 (81.521) Epoch: [55][3150/10010] Time 0.319 (0.327) Data 0.000 (0.002) Loss 1.6182 (1.7545) Prec@1 59.375 (60.023) Prec@5 82.812 (81.521) Epoch: [55][3160/10010] Time 0.325 (0.327) Data 0.001 (0.002) Loss 1.4860 (1.7550) Prec@1 60.156 (60.013) Prec@5 90.625 (81.512) Epoch: [55][3170/10010] Time 0.315 (0.327) Data 0.001 (0.002) Loss 1.6480 (1.7546) Prec@1 61.719 (60.023) Prec@5 79.688 (81.514) Epoch: [55][3180/10010] Time 0.338 (0.327) Data 0.001 (0.002) Loss 1.6606 (1.7546) Prec@1 67.188 (60.021) Prec@5 85.156 (81.515) Epoch: [55][3190/10010] Time 0.331 (0.327) Data 0.000 (0.002) Loss 1.6742 (1.7546) Prec@1 59.375 (60.023) Prec@5 84.375 (81.514) Epoch: [55][3200/10010] Time 0.332 (0.327) Data 0.001 (0.002) Loss 1.6473 (1.7546) Prec@1 64.844 (60.026) Prec@5 83.594 (81.514) Epoch: [55][3210/10010] Time 0.314 (0.327) Data 0.000 (0.002) Loss 1.9399 (1.7549) Prec@1 57.031 (60.022) Prec@5 82.031 (81.512) Epoch: [55][3220/10010] Time 0.340 (0.327) Data 0.000 (0.002) Loss 2.2565 (1.7552) Prec@1 53.125 (60.015) Prec@5 72.656 (81.506) Epoch: [55][3230/10010] Time 0.322 (0.327) Data 0.000 (0.002) Loss 1.8874 (1.7554) Prec@1 57.031 (60.013) Prec@5 75.781 (81.500) Epoch: [55][3240/10010] Time 0.333 (0.327) Data 0.001 (0.002) Loss 1.7650 (1.7553) Prec@1 57.031 (60.013) Prec@5 82.031 (81.499) Epoch: [55][3250/10010] Time 0.328 (0.327) Data 0.001 (0.001) Loss 1.8769 (1.7554) Prec@1 60.938 (60.012) Prec@5 78.906 (81.493) Epoch: [55][3260/10010] Time 0.318 (0.327) Data 0.000 (0.001) Loss 1.8695 (1.7556) Prec@1 52.344 (60.007) Prec@5 78.906 (81.491) Epoch: [55][3270/10010] Time 0.330 (0.327) Data 0.000 (0.001) Loss 1.6273 (1.7555) Prec@1 62.500 (60.011) Prec@5 85.938 (81.494) Epoch: [55][3280/10010] Time 0.318 (0.327) Data 0.001 (0.001) Loss 1.9923 (1.7555) Prec@1 56.250 (60.011) Prec@5 76.562 (81.496) Epoch: [55][3290/10010] Time 0.317 (0.327) Data 0.001 (0.001) Loss 1.5225 (1.7556) Prec@1 58.594 (60.010) Prec@5 86.719 (81.493) Epoch: [55][3300/10010] Time 0.322 (0.327) Data 0.001 (0.001) Loss 2.0188 (1.7558) Prec@1 55.469 (60.007) Prec@5 79.688 (81.491) Epoch: [55][3310/10010] Time 0.322 (0.327) Data 0.000 (0.001) Loss 1.9456 (1.7559) Prec@1 53.906 (60.003) Prec@5 80.469 (81.495) Epoch: [55][3320/10010] Time 0.316 (0.327) Data 0.001 (0.001) Loss 1.8089 (1.7560) Prec@1 60.156 (60.002) Prec@5 78.906 (81.494) Epoch: [55][3330/10010] Time 0.342 (0.327) Data 0.000 (0.001) Loss 1.4080 (1.7559) Prec@1 67.969 (60.004) Prec@5 87.500 (81.495) Epoch: [55][3340/10010] Time 0.331 (0.327) Data 0.001 (0.001) Loss 2.0728 (1.7559) Prec@1 55.469 (60.002) Prec@5 77.344 (81.497) Epoch: [55][3350/10010] Time 0.337 (0.327) Data 0.001 (0.001) Loss 1.6907 (1.7557) Prec@1 57.812 (60.004) Prec@5 82.812 (81.498) Epoch: [55][3360/10010] Time 0.328 (0.327) Data 0.000 (0.001) Loss 1.8308 (1.7553) Prec@1 58.594 (60.011) Prec@5 82.031 (81.506) Epoch: [55][3370/10010] Time 0.333 (0.327) Data 0.001 (0.001) Loss 1.6861 (1.7554) Prec@1 60.156 (60.008) Prec@5 85.156 (81.504) Epoch: [55][3380/10010] Time 0.335 (0.327) Data 0.001 (0.001) Loss 1.8906 (1.7553) Prec@1 58.594 (60.009) Prec@5 75.781 (81.505) Epoch: [55][3390/10010] Time 0.316 (0.327) Data 0.001 (0.001) Loss 1.5760 (1.7554) Prec@1 60.156 (60.008) Prec@5 86.719 (81.503) Epoch: [55][3400/10010] Time 0.317 (0.327) Data 0.001 (0.001) Loss 1.6670 (1.7558) Prec@1 64.062 (60.003) Prec@5 82.031 (81.497) Epoch: [55][3410/10010] Time 0.341 (0.327) Data 0.001 (0.001) Loss 1.9143 (1.7556) Prec@1 52.344 (60.005) Prec@5 77.344 (81.498) Epoch: [55][3420/10010] Time 0.338 (0.327) Data 0.001 (0.001) Loss 1.7724 (1.7560) Prec@1 59.375 (59.993) Prec@5 81.250 (81.492) Epoch: [55][3430/10010] Time 0.314 (0.327) Data 0.000 (0.001) Loss 1.8219 (1.7562) Prec@1 58.594 (59.992) Prec@5 78.906 (81.490) Epoch: [55][3440/10010] Time 0.328 (0.327) Data 0.001 (0.001) Loss 2.0533 (1.7562) Prec@1 53.906 (59.990) Prec@5 75.781 (81.489) Epoch: [55][3450/10010] Time 0.335 (0.327) Data 0.001 (0.001) Loss 1.6785 (1.7563) Prec@1 60.938 (59.989) Prec@5 77.344 (81.483) Epoch: [55][3460/10010] Time 0.323 (0.327) Data 0.000 (0.001) Loss 1.6884 (1.7564) Prec@1 62.500 (59.989) Prec@5 86.719 (81.480) Epoch: [55][3470/10010] Time 0.332 (0.327) Data 0.001 (0.001) Loss 1.6997 (1.7566) Prec@1 60.938 (59.985) Prec@5 83.594 (81.479) Epoch: [55][3480/10010] Time 0.322 (0.327) Data 0.000 (0.001) Loss 1.6921 (1.7565) Prec@1 64.062 (59.988) Prec@5 80.469 (81.482) Epoch: [55][3490/10010] Time 0.331 (0.327) Data 0.000 (0.001) Loss 1.6322 (1.7565) Prec@1 65.625 (59.992) Prec@5 82.812 (81.481) Epoch: [55][3500/10010] Time 0.319 (0.327) Data 0.000 (0.001) Loss 1.5401 (1.7563) Prec@1 71.094 (59.996) Prec@5 84.375 (81.483) Epoch: [55][3510/10010] Time 0.324 (0.327) Data 0.000 (0.001) Loss 1.7011 (1.7561) Prec@1 59.375 (60.000) Prec@5 84.375 (81.486) Epoch: [55][3520/10010] Time 0.325 (0.327) Data 0.001 (0.001) Loss 1.8382 (1.7560) Prec@1 59.375 (60.007) Prec@5 79.688 (81.487) Epoch: [55][3530/10010] Time 0.338 (0.327) Data 0.001 (0.001) Loss 2.0345 (1.7562) Prec@1 55.469 (60.001) Prec@5 76.562 (81.485) Epoch: [55][3540/10010] Time 0.327 (0.327) Data 0.000 (0.001) Loss 1.8721 (1.7564) Prec@1 57.031 (59.999) Prec@5 77.344 (81.480) Epoch: [55][3550/10010] Time 0.322 (0.327) Data 0.001 (0.001) Loss 1.9349 (1.7565) Prec@1 57.031 (59.995) Prec@5 78.125 (81.479) Epoch: [55][3560/10010] Time 0.333 (0.327) Data 0.001 (0.001) Loss 1.4869 (1.7566) Prec@1 67.188 (59.997) Prec@5 82.812 (81.476) Epoch: [55][3570/10010] Time 0.318 (0.327) Data 0.000 (0.001) Loss 1.7358 (1.7566) Prec@1 58.594 (59.993) Prec@5 83.594 (81.478) Epoch: [55][3580/10010] Time 0.327 (0.327) Data 0.001 (0.001) Loss 1.6604 (1.7568) Prec@1 60.156 (59.990) Prec@5 84.375 (81.480) Epoch: [55][3590/10010] Time 0.329 (0.327) Data 0.001 (0.001) Loss 2.0701 (1.7570) Prec@1 55.469 (59.990) Prec@5 77.344 (81.476) Epoch: [55][3600/10010] Time 0.341 (0.327) Data 0.001 (0.001) Loss 1.9404 (1.7572) Prec@1 57.031 (59.986) Prec@5 79.688 (81.474) Epoch: [55][3610/10010] Time 0.320 (0.327) Data 0.001 (0.001) Loss 1.6070 (1.7570) Prec@1 61.719 (59.991) Prec@5 83.594 (81.477) Epoch: [55][3620/10010] Time 0.315 (0.327) Data 0.001 (0.001) Loss 1.7182 (1.7571) Prec@1 61.719 (59.987) Prec@5 82.031 (81.477) Epoch: [55][3630/10010] Time 0.324 (0.327) Data 0.001 (0.001) Loss 1.9429 (1.7573) Prec@1 53.125 (59.980) Prec@5 80.469 (81.475) Epoch: [55][3640/10010] Time 0.323 (0.327) Data 0.001 (0.001) Loss 1.8827 (1.7575) Prec@1 57.031 (59.976) Prec@5 79.688 (81.473) Epoch: [55][3650/10010] Time 0.340 (0.327) Data 0.001 (0.001) Loss 1.8301 (1.7574) Prec@1 59.375 (59.978) Prec@5 78.906 (81.474) Epoch: [55][3660/10010] Time 0.319 (0.327) Data 0.001 (0.001) Loss 1.7110 (1.7574) Prec@1 60.938 (59.974) Prec@5 84.375 (81.474) Epoch: [55][3670/10010] Time 0.323 (0.327) Data 0.001 (0.001) Loss 1.7954 (1.7572) Prec@1 60.938 (59.974) Prec@5 85.938 (81.475) Epoch: [55][3680/10010] Time 0.333 (0.327) Data 0.001 (0.001) Loss 1.9802 (1.7570) Prec@1 56.250 (59.977) Prec@5 78.125 (81.479) Epoch: [55][3690/10010] Time 0.326 (0.327) Data 0.001 (0.001) Loss 1.9065 (1.7574) Prec@1 56.250 (59.968) Prec@5 76.562 (81.475) Epoch: [55][3700/10010] Time 0.329 (0.327) Data 0.000 (0.001) Loss 1.8821 (1.7575) Prec@1 57.812 (59.967) Prec@5 77.344 (81.475) Epoch: [55][3710/10010] Time 0.313 (0.327) Data 0.001 (0.001) Loss 1.9600 (1.7576) Prec@1 58.594 (59.966) Prec@5 80.469 (81.475) Epoch: [55][3720/10010] Time 0.318 (0.327) Data 0.001 (0.001) Loss 1.7254 (1.7575) Prec@1 60.938 (59.965) Prec@5 83.594 (81.478) Epoch: [55][3730/10010] Time 0.311 (0.327) Data 0.001 (0.001) Loss 2.1399 (1.7573) Prec@1 52.344 (59.969) Prec@5 75.000 (81.480) Epoch: [55][3740/10010] Time 0.331 (0.327) Data 0.000 (0.001) Loss 1.7492 (1.7573) Prec@1 59.375 (59.969) Prec@5 82.031 (81.481) Epoch: [55][3750/10010] Time 0.342 (0.327) Data 0.000 (0.001) Loss 1.8674 (1.7572) Prec@1 62.500 (59.970) Prec@5 78.125 (81.487) Epoch: [55][3760/10010] Time 0.322 (0.327) Data 0.001 (0.001) Loss 1.6003 (1.7574) Prec@1 61.719 (59.964) Prec@5 81.250 (81.483) Epoch: [55][3770/10010] Time 0.333 (0.327) Data 0.000 (0.001) Loss 1.7225 (1.7572) Prec@1 63.281 (59.968) Prec@5 82.812 (81.488) Epoch: [55][3780/10010] Time 0.332 (0.327) Data 0.001 (0.001) Loss 1.5246 (1.7573) Prec@1 62.500 (59.965) Prec@5 85.938 (81.487) Epoch: [55][3790/10010] Time 0.318 (0.327) Data 0.000 (0.001) Loss 1.9737 (1.7574) Prec@1 60.156 (59.966) Prec@5 76.562 (81.484) Epoch: [55][3800/10010] Time 0.341 (0.327) Data 0.001 (0.001) Loss 1.9435 (1.7575) Prec@1 54.688 (59.966) Prec@5 80.469 (81.483) Epoch: [55][3810/10010] Time 0.322 (0.327) Data 0.000 (0.001) Loss 1.8272 (1.7579) Prec@1 58.594 (59.960) Prec@5 78.906 (81.475) Epoch: [55][3820/10010] Time 0.322 (0.327) Data 0.000 (0.001) Loss 1.8588 (1.7580) Prec@1 56.250 (59.961) Prec@5 79.688 (81.474) Epoch: [55][3830/10010] Time 0.321 (0.327) Data 0.001 (0.001) Loss 1.6046 (1.7579) Prec@1 60.938 (59.957) Prec@5 82.031 (81.475) Epoch: [55][3840/10010] Time 0.333 (0.327) Data 0.000 (0.001) Loss 1.8940 (1.7580) Prec@1 58.594 (59.953) Prec@5 78.125 (81.476) Epoch: [55][3850/10010] Time 0.319 (0.327) Data 0.001 (0.001) Loss 1.5822 (1.7579) Prec@1 67.969 (59.957) Prec@5 84.375 (81.477) Epoch: [55][3860/10010] Time 0.319 (0.327) Data 0.001 (0.001) Loss 1.7125 (1.7578) Prec@1 64.062 (59.960) Prec@5 83.594 (81.481) Epoch: [55][3870/10010] Time 0.322 (0.327) Data 0.001 (0.001) Loss 1.7391 (1.7577) Prec@1 57.812 (59.962) Prec@5 84.375 (81.482) Epoch: [55][3880/10010] Time 0.314 (0.327) Data 0.001 (0.001) Loss 1.7745 (1.7578) Prec@1 58.594 (59.960) Prec@5 81.250 (81.483) Epoch: [55][3890/10010] Time 0.317 (0.327) Data 0.000 (0.001) Loss 2.2099 (1.7580) Prec@1 51.562 (59.958) Prec@5 75.000 (81.479) Epoch: [55][3900/10010] Time 0.331 (0.327) Data 0.001 (0.001) Loss 1.8312 (1.7582) Prec@1 57.031 (59.953) Prec@5 80.469 (81.473) Epoch: [55][3910/10010] Time 0.320 (0.327) Data 0.001 (0.001) Loss 1.8704 (1.7582) Prec@1 59.375 (59.953) Prec@5 82.031 (81.475) Epoch: [55][3920/10010] Time 0.316 (0.327) Data 0.000 (0.001) Loss 1.8117 (1.7579) Prec@1 54.688 (59.957) Prec@5 81.250 (81.478) Epoch: [55][3930/10010] Time 0.329 (0.327) Data 0.001 (0.001) Loss 1.7609 (1.7576) Prec@1 55.469 (59.961) Prec@5 82.812 (81.484) Epoch: [55][3940/10010] Time 0.321 (0.327) Data 0.000 (0.001) Loss 2.2588 (1.7578) Prec@1 53.906 (59.957) Prec@5 77.344 (81.484) Epoch: [55][3950/10010] Time 0.319 (0.327) Data 0.001 (0.001) Loss 1.8630 (1.7579) Prec@1 52.344 (59.954) Prec@5 82.812 (81.485) Epoch: [55][3960/10010] Time 0.317 (0.327) Data 0.001 (0.001) Loss 1.7825 (1.7580) Prec@1 56.250 (59.947) Prec@5 85.156 (81.483) Epoch: [55][3970/10010] Time 0.324 (0.327) Data 0.000 (0.001) Loss 1.8535 (1.7581) Prec@1 57.812 (59.946) Prec@5 80.469 (81.482) Epoch: [55][3980/10010] Time 0.334 (0.327) Data 0.001 (0.001) Loss 1.4828 (1.7577) Prec@1 63.281 (59.953) Prec@5 85.938 (81.486) Epoch: [55][3990/10010] Time 0.318 (0.327) Data 0.001 (0.001) Loss 1.7950 (1.7577) Prec@1 61.719 (59.954) Prec@5 78.906 (81.487) Epoch: [55][4000/10010] Time 0.319 (0.327) Data 0.001 (0.001) Loss 1.7360 (1.7577) Prec@1 62.500 (59.953) Prec@5 81.250 (81.489) Epoch: [55][4010/10010] Time 0.336 (0.327) Data 0.000 (0.001) Loss 1.7149 (1.7580) Prec@1 60.156 (59.946) Prec@5 83.594 (81.486) Epoch: [55][4020/10010] Time 0.334 (0.327) Data 0.000 (0.001) Loss 1.7357 (1.7579) Prec@1 60.156 (59.947) Prec@5 85.156 (81.488) Epoch: [55][4030/10010] Time 0.317 (0.327) Data 0.001 (0.001) Loss 1.9736 (1.7579) Prec@1 56.250 (59.944) Prec@5 77.344 (81.487) Epoch: [55][4040/10010] Time 0.314 (0.327) Data 0.001 (0.001) Loss 1.5366 (1.7579) Prec@1 62.500 (59.946) Prec@5 85.156 (81.488) Epoch: [55][4050/10010] Time 0.320 (0.327) Data 0.001 (0.001) Loss 1.5243 (1.7577) Prec@1 64.062 (59.951) Prec@5 84.375 (81.491) Epoch: [55][4060/10010] Time 0.324 (0.327) Data 0.000 (0.001) Loss 1.7862 (1.7578) Prec@1 57.031 (59.947) Prec@5 80.469 (81.490) Epoch: [55][4070/10010] Time 0.317 (0.327) Data 0.001 (0.001) Loss 1.9202 (1.7579) Prec@1 57.812 (59.945) Prec@5 77.344 (81.486) Epoch: [55][4080/10010] Time 0.334 (0.327) Data 0.001 (0.001) Loss 1.6726 (1.7578) Prec@1 57.031 (59.947) Prec@5 83.594 (81.487) Epoch: [55][4090/10010] Time 0.340 (0.327) Data 0.000 (0.001) Loss 1.9752 (1.7579) Prec@1 57.812 (59.948) Prec@5 75.781 (81.484) Epoch: [55][4100/10010] Time 0.334 (0.327) Data 0.000 (0.001) Loss 1.7905 (1.7581) Prec@1 59.375 (59.944) Prec@5 80.469 (81.479) Epoch: [55][4110/10010] Time 0.317 (0.327) Data 0.001 (0.001) Loss 1.5654 (1.7580) Prec@1 59.375 (59.949) Prec@5 85.938 (81.479) Epoch: [55][4120/10010] Time 0.338 (0.327) Data 0.001 (0.001) Loss 1.7399 (1.7579) Prec@1 63.281 (59.948) Prec@5 82.812 (81.482) Epoch: [55][4130/10010] Time 0.329 (0.327) Data 0.000 (0.001) Loss 1.8681 (1.7578) Prec@1 59.375 (59.948) Prec@5 78.906 (81.480) Epoch: [55][4140/10010] Time 0.329 (0.327) Data 0.000 (0.001) Loss 1.6857 (1.7577) Prec@1 59.375 (59.946) Prec@5 83.594 (81.483) Epoch: [55][4150/10010] Time 0.315 (0.327) Data 0.001 (0.001) Loss 1.5871 (1.7578) Prec@1 60.938 (59.946) Prec@5 82.812 (81.481) Epoch: [55][4160/10010] Time 0.338 (0.327) Data 0.000 (0.001) Loss 1.6934 (1.7576) Prec@1 62.500 (59.953) Prec@5 85.156 (81.481) Epoch: [55][4170/10010] Time 0.316 (0.327) Data 0.001 (0.001) Loss 1.7554 (1.7578) Prec@1 57.031 (59.948) Prec@5 84.375 (81.478) Epoch: [55][4180/10010] Time 0.341 (0.327) Data 0.001 (0.001) Loss 1.9180 (1.7580) Prec@1 57.031 (59.945) Prec@5 78.125 (81.474) Epoch: [55][4190/10010] Time 0.328 (0.327) Data 0.001 (0.001) Loss 1.7313 (1.7579) Prec@1 53.125 (59.943) Prec@5 82.031 (81.476) Epoch: [55][4200/10010] Time 0.342 (0.327) Data 0.001 (0.001) Loss 1.8843 (1.7583) Prec@1 58.594 (59.942) Prec@5 77.344 (81.470) Epoch: [55][4210/10010] Time 0.341 (0.327) Data 0.000 (0.001) Loss 1.4743 (1.7580) Prec@1 66.406 (59.949) Prec@5 85.156 (81.473) Epoch: [55][4220/10010] Time 0.338 (0.327) Data 0.000 (0.001) Loss 1.7846 (1.7581) Prec@1 57.812 (59.947) Prec@5 82.031 (81.472) Epoch: [55][4230/10010] Time 0.337 (0.327) Data 0.000 (0.001) Loss 1.6839 (1.7579) Prec@1 62.500 (59.948) Prec@5 83.594 (81.478) Epoch: [55][4240/10010] Time 0.333 (0.327) Data 0.001 (0.001) Loss 1.4887 (1.7577) Prec@1 64.062 (59.951) Prec@5 85.938 (81.479) Epoch: [55][4250/10010] Time 0.317 (0.327) Data 0.000 (0.001) Loss 1.8062 (1.7578) Prec@1 56.250 (59.945) Prec@5 80.469 (81.476) Epoch: [55][4260/10010] Time 0.321 (0.327) Data 0.000 (0.001) Loss 1.7839 (1.7579) Prec@1 54.688 (59.942) Prec@5 84.375 (81.476) Epoch: [55][4270/10010] Time 0.341 (0.327) Data 0.000 (0.001) Loss 1.8348 (1.7579) Prec@1 58.594 (59.942) Prec@5 75.781 (81.476) Epoch: [55][4280/10010] Time 0.324 (0.327) Data 0.001 (0.001) Loss 1.8127 (1.7579) Prec@1 57.812 (59.941) Prec@5 79.688 (81.476) Epoch: [55][4290/10010] Time 0.314 (0.327) Data 0.000 (0.001) Loss 1.4487 (1.7579) Prec@1 69.531 (59.943) Prec@5 86.719 (81.476) Epoch: [55][4300/10010] Time 0.320 (0.327) Data 0.001 (0.001) Loss 1.8864 (1.7580) Prec@1 53.125 (59.940) Prec@5 80.469 (81.474) Epoch: [55][4310/10010] Time 0.319 (0.327) Data 0.001 (0.001) Loss 2.0406 (1.7581) Prec@1 55.469 (59.936) Prec@5 75.781 (81.474) Epoch: [55][4320/10010] Time 0.327 (0.327) Data 0.000 (0.001) Loss 2.0689 (1.7583) Prec@1 56.250 (59.934) Prec@5 79.688 (81.475) Epoch: [55][4330/10010] Time 0.326 (0.327) Data 0.001 (0.001) Loss 1.4640 (1.7583) Prec@1 63.281 (59.934) Prec@5 88.281 (81.475) Epoch: [55][4340/10010] Time 0.331 (0.327) Data 0.001 (0.001) Loss 1.9965 (1.7584) Prec@1 52.344 (59.932) Prec@5 77.344 (81.474) Epoch: [55][4350/10010] Time 0.334 (0.327) Data 0.001 (0.001) Loss 1.7978 (1.7585) Prec@1 62.500 (59.933) Prec@5 77.344 (81.470) Epoch: [55][4360/10010] Time 0.340 (0.327) Data 0.000 (0.001) Loss 1.8359 (1.7584) Prec@1 60.156 (59.936) Prec@5 78.906 (81.468) Epoch: [55][4370/10010] Time 0.338 (0.327) Data 0.001 (0.001) Loss 1.8021 (1.7585) Prec@1 62.500 (59.938) Prec@5 80.469 (81.468) Epoch: [55][4380/10010] Time 0.320 (0.327) Data 0.000 (0.001) Loss 1.7776 (1.7584) Prec@1 60.156 (59.941) Prec@5 78.906 (81.472) Epoch: [55][4390/10010] Time 0.338 (0.327) Data 0.000 (0.001) Loss 1.7605 (1.7585) Prec@1 60.938 (59.939) Prec@5 82.031 (81.473) Epoch: [55][4400/10010] Time 0.321 (0.327) Data 0.001 (0.001) Loss 1.6717 (1.7583) Prec@1 63.281 (59.944) Prec@5 79.688 (81.475) Epoch: [55][4410/10010] Time 0.320 (0.327) Data 0.001 (0.001) Loss 1.6752 (1.7581) Prec@1 60.938 (59.945) Prec@5 82.812 (81.477) Epoch: [55][4420/10010] Time 0.338 (0.327) Data 0.000 (0.001) Loss 1.8316 (1.7583) Prec@1 60.156 (59.942) Prec@5 80.469 (81.475) Epoch: [55][4430/10010] Time 0.329 (0.327) Data 0.001 (0.001) Loss 1.7901 (1.7583) Prec@1 60.156 (59.944) Prec@5 78.125 (81.476) Epoch: [55][4440/10010] Time 0.333 (0.327) Data 0.001 (0.001) Loss 1.6569 (1.7585) Prec@1 59.375 (59.935) Prec@5 84.375 (81.474) Epoch: [55][4450/10010] Time 0.324 (0.327) Data 0.001 (0.001) Loss 1.8779 (1.7587) Prec@1 57.031 (59.930) Prec@5 80.469 (81.470) Epoch: [55][4460/10010] Time 0.338 (0.327) Data 0.000 (0.001) Loss 1.5391 (1.7587) Prec@1 64.844 (59.930) Prec@5 86.719 (81.469) Epoch: [55][4470/10010] Time 0.328 (0.327) Data 0.000 (0.001) Loss 1.6408 (1.7587) Prec@1 66.406 (59.927) Prec@5 82.031 (81.469) Epoch: [55][4480/10010] Time 0.317 (0.327) Data 0.001 (0.001) Loss 1.6657 (1.7586) Prec@1 66.406 (59.929) Prec@5 85.156 (81.474) Epoch: [55][4490/10010] Time 0.325 (0.327) Data 0.000 (0.001) Loss 1.7319 (1.7586) Prec@1 57.031 (59.926) Prec@5 82.031 (81.474) Epoch: [55][4500/10010] Time 0.317 (0.327) Data 0.001 (0.001) Loss 1.7277 (1.7586) Prec@1 57.031 (59.923) Prec@5 83.594 (81.473) Epoch: [55][4510/10010] Time 0.317 (0.327) Data 0.001 (0.001) Loss 1.8032 (1.7589) Prec@1 59.375 (59.914) Prec@5 80.469 (81.469) Epoch: [55][4520/10010] Time 0.319 (0.327) Data 0.000 (0.001) Loss 1.9247 (1.7592) Prec@1 55.469 (59.908) Prec@5 77.344 (81.467) Epoch: [55][4530/10010] Time 0.313 (0.327) Data 0.001 (0.001) Loss 1.5762 (1.7590) Prec@1 63.281 (59.913) Prec@5 85.938 (81.469) Epoch: [55][4540/10010] Time 0.324 (0.327) Data 0.000 (0.001) Loss 1.6108 (1.7589) Prec@1 55.469 (59.913) Prec@5 81.250 (81.472) Epoch: [55][4550/10010] Time 0.320 (0.327) Data 0.001 (0.001) Loss 1.7793 (1.7590) Prec@1 60.156 (59.914) Prec@5 84.375 (81.468) Epoch: [55][4560/10010] Time 0.331 (0.327) Data 0.001 (0.001) Loss 1.6274 (1.7590) Prec@1 64.844 (59.916) Prec@5 82.031 (81.467) Epoch: [55][4570/10010] Time 0.312 (0.327) Data 0.000 (0.001) Loss 1.5007 (1.7590) Prec@1 66.406 (59.916) Prec@5 88.281 (81.469) Epoch: [55][4580/10010] Time 0.320 (0.327) Data 0.000 (0.001) Loss 1.7702 (1.7590) Prec@1 60.938 (59.918) Prec@5 82.031 (81.466) Epoch: [55][4590/10010] Time 0.322 (0.327) Data 0.001 (0.001) Loss 1.8030 (1.7590) Prec@1 57.031 (59.917) Prec@5 80.469 (81.467) Epoch: [55][4600/10010] Time 0.322 (0.327) Data 0.001 (0.001) Loss 1.3525 (1.7589) Prec@1 67.188 (59.917) Prec@5 88.281 (81.469) Epoch: [55][4610/10010] Time 0.341 (0.327) Data 0.000 (0.001) Loss 1.8636 (1.7588) Prec@1 55.469 (59.920) Prec@5 78.125 (81.470) Epoch: [55][4620/10010] Time 0.332 (0.327) Data 0.000 (0.001) Loss 1.8600 (1.7586) Prec@1 59.375 (59.924) Prec@5 78.906 (81.471) Epoch: [55][4630/10010] Time 0.330 (0.327) Data 0.001 (0.001) Loss 1.9097 (1.7586) Prec@1 61.719 (59.920) Prec@5 79.688 (81.472) Epoch: [55][4640/10010] Time 0.335 (0.327) Data 0.000 (0.001) Loss 1.7274 (1.7585) Prec@1 60.156 (59.924) Prec@5 82.812 (81.474) Epoch: [55][4650/10010] Time 0.334 (0.327) Data 0.000 (0.001) Loss 2.1053 (1.7586) Prec@1 55.469 (59.925) Prec@5 73.438 (81.469) Epoch: [55][4660/10010] Time 0.332 (0.327) Data 0.000 (0.001) Loss 1.5185 (1.7585) Prec@1 63.281 (59.924) Prec@5 83.594 (81.468) Epoch: [55][4670/10010] Time 0.329 (0.327) Data 0.001 (0.001) Loss 1.8159 (1.7585) Prec@1 56.250 (59.923) Prec@5 83.594 (81.468) Epoch: [55][4680/10010] Time 0.319 (0.327) Data 0.000 (0.001) Loss 1.8549 (1.7586) Prec@1 60.938 (59.920) Prec@5 78.906 (81.468) Epoch: [55][4690/10010] Time 0.334 (0.327) Data 0.001 (0.001) Loss 1.5859 (1.7586) Prec@1 66.406 (59.923) Prec@5 82.812 (81.467) Epoch: [55][4700/10010] Time 0.313 (0.327) Data 0.001 (0.001) Loss 1.9685 (1.7587) Prec@1 56.250 (59.920) Prec@5 80.469 (81.467) Epoch: [55][4710/10010] Time 0.336 (0.327) Data 0.000 (0.001) Loss 1.8138 (1.7587) Prec@1 64.062 (59.918) Prec@5 79.688 (81.467) Epoch: [55][4720/10010] Time 0.332 (0.327) Data 0.001 (0.001) Loss 1.9549 (1.7589) Prec@1 54.688 (59.917) Prec@5 81.250 (81.463) Epoch: [55][4730/10010] Time 0.330 (0.327) Data 0.000 (0.001) Loss 2.0046 (1.7590) Prec@1 54.688 (59.914) Prec@5 80.469 (81.462) Epoch: [55][4740/10010] Time 0.332 (0.327) Data 0.001 (0.001) Loss 2.0350 (1.7591) Prec@1 52.344 (59.910) Prec@5 80.469 (81.463) Epoch: [55][4750/10010] Time 0.337 (0.327) Data 0.001 (0.001) Loss 1.8391 (1.7590) Prec@1 53.125 (59.907) Prec@5 81.250 (81.464) Epoch: [55][4760/10010] Time 0.317 (0.327) Data 0.001 (0.001) Loss 1.7181 (1.7589) Prec@1 62.500 (59.907) Prec@5 80.469 (81.464) Epoch: [55][4770/10010] Time 0.316 (0.327) Data 0.001 (0.001) Loss 1.7750 (1.7591) Prec@1 54.688 (59.905) Prec@5 78.906 (81.462) Epoch: [55][4780/10010] Time 0.330 (0.327) Data 0.001 (0.001) Loss 1.7805 (1.7591) Prec@1 62.500 (59.901) Prec@5 82.031 (81.462) Epoch: [55][4790/10010] Time 0.329 (0.327) Data 0.001 (0.001) Loss 1.8918 (1.7591) Prec@1 54.688 (59.899) Prec@5 78.125 (81.463) Epoch: [55][4800/10010] Time 0.317 (0.327) Data 0.001 (0.001) Loss 1.7331 (1.7592) Prec@1 57.031 (59.899) Prec@5 82.031 (81.461) Epoch: [55][4810/10010] Time 0.316 (0.327) Data 0.001 (0.001) Loss 1.8275 (1.7592) Prec@1 60.938 (59.896) Prec@5 81.250 (81.460) Epoch: [55][4820/10010] Time 0.314 (0.327) Data 0.001 (0.001) Loss 1.7380 (1.7592) Prec@1 61.719 (59.900) Prec@5 82.812 (81.461) Epoch: [55][4830/10010] Time 0.318 (0.327) Data 0.000 (0.001) Loss 1.5347 (1.7591) Prec@1 63.281 (59.902) Prec@5 86.719 (81.466) Epoch: [55][4840/10010] Time 0.326 (0.327) Data 0.001 (0.001) Loss 1.4994 (1.7592) Prec@1 64.062 (59.900) Prec@5 85.938 (81.464) Epoch: [55][4850/10010] Time 0.321 (0.327) Data 0.001 (0.001) Loss 1.7128 (1.7592) Prec@1 55.469 (59.903) Prec@5 83.594 (81.461) Epoch: [55][4860/10010] Time 0.333 (0.327) Data 0.000 (0.001) Loss 1.8644 (1.7594) Prec@1 53.906 (59.900) Prec@5 79.688 (81.459) Epoch: [55][4870/10010] Time 0.321 (0.327) Data 0.000 (0.001) Loss 1.6473 (1.7595) Prec@1 59.375 (59.896) Prec@5 85.938 (81.460) Epoch: [55][4880/10010] Time 0.326 (0.327) Data 0.000 (0.001) Loss 1.8906 (1.7594) Prec@1 53.906 (59.894) Prec@5 82.031 (81.463) Epoch: [55][4890/10010] Time 0.330 (0.327) Data 0.001 (0.001) Loss 1.7420 (1.7595) Prec@1 57.031 (59.893) Prec@5 79.688 (81.460) Epoch: [55][4900/10010] Time 0.321 (0.327) Data 0.001 (0.001) Loss 1.8779 (1.7598) Prec@1 58.594 (59.885) Prec@5 83.594 (81.458) Epoch: [55][4910/10010] Time 0.334 (0.327) Data 0.001 (0.001) Loss 1.5252 (1.7597) Prec@1 61.719 (59.885) Prec@5 83.594 (81.456) Epoch: [55][4920/10010] Time 0.316 (0.327) Data 0.001 (0.001) Loss 2.1157 (1.7597) Prec@1 53.125 (59.883) Prec@5 76.562 (81.457) Epoch: [55][4930/10010] Time 0.317 (0.327) Data 0.001 (0.001) Loss 1.4639 (1.7596) Prec@1 66.406 (59.886) Prec@5 84.375 (81.457) Epoch: [55][4940/10010] Time 0.320 (0.327) Data 0.001 (0.001) Loss 1.7744 (1.7595) Prec@1 60.156 (59.887) Prec@5 85.156 (81.457) Epoch: [55][4950/10010] Time 0.329 (0.327) Data 0.001 (0.001) Loss 1.8763 (1.7595) Prec@1 54.688 (59.884) Prec@5 77.344 (81.457) Epoch: [55][4960/10010] Time 0.317 (0.327) Data 0.000 (0.001) Loss 1.7588 (1.7596) Prec@1 57.031 (59.881) Prec@5 82.031 (81.458) Epoch: [55][4970/10010] Time 0.315 (0.327) Data 0.000 (0.001) Loss 1.5821 (1.7597) Prec@1 62.500 (59.880) Prec@5 83.594 (81.457) Epoch: [55][4980/10010] Time 0.316 (0.327) Data 0.001 (0.001) Loss 2.0076 (1.7598) Prec@1 57.812 (59.880) Prec@5 82.812 (81.457) Epoch: [55][4990/10010] Time 0.335 (0.327) Data 0.001 (0.001) Loss 1.8414 (1.7598) Prec@1 55.469 (59.881) Prec@5 82.812 (81.459) Epoch: [55][5000/10010] Time 0.333 (0.327) Data 0.001 (0.001) Loss 1.5299 (1.7595) Prec@1 65.625 (59.885) Prec@5 88.281 (81.465) Epoch: [55][5010/10010] Time 0.337 (0.327) Data 0.001 (0.001) Loss 1.7390 (1.7596) Prec@1 58.594 (59.884) Prec@5 81.250 (81.464) Epoch: [55][5020/10010] Time 0.321 (0.327) Data 0.001 (0.001) Loss 1.6327 (1.7597) Prec@1 64.062 (59.884) Prec@5 85.938 (81.464) Epoch: [55][5030/10010] Time 0.319 (0.327) Data 0.001 (0.001) Loss 1.9961 (1.7597) Prec@1 57.812 (59.880) Prec@5 77.344 (81.464) Epoch: [55][5040/10010] Time 0.337 (0.327) Data 0.001 (0.001) Loss 2.2331 (1.7597) Prec@1 48.438 (59.879) Prec@5 74.219 (81.464) Epoch: [55][5050/10010] Time 0.328 (0.327) Data 0.001 (0.001) Loss 1.8925 (1.7596) Prec@1 54.688 (59.880) Prec@5 77.344 (81.468) Epoch: [55][5060/10010] Time 0.327 (0.327) Data 0.001 (0.001) Loss 1.8499 (1.7597) Prec@1 57.031 (59.879) Prec@5 79.688 (81.464) Epoch: [55][5070/10010] Time 0.325 (0.327) Data 0.001 (0.001) Loss 1.9554 (1.7599) Prec@1 57.031 (59.877) Prec@5 80.469 (81.460) Epoch: [55][5080/10010] Time 0.320 (0.327) Data 0.000 (0.001) Loss 1.5202 (1.7598) Prec@1 65.625 (59.879) Prec@5 88.281 (81.463) Epoch: [55][5090/10010] Time 0.340 (0.327) Data 0.000 (0.001) Loss 2.0099 (1.7599) Prec@1 50.781 (59.880) Prec@5 74.219 (81.462) Epoch: [55][5100/10010] Time 0.319 (0.327) Data 0.001 (0.001) Loss 1.8518 (1.7598) Prec@1 59.375 (59.881) Prec@5 80.469 (81.462) Epoch: [55][5110/10010] Time 0.335 (0.327) Data 0.001 (0.001) Loss 1.7245 (1.7599) Prec@1 60.156 (59.880) Prec@5 82.031 (81.461) Epoch: [55][5120/10010] Time 0.325 (0.327) Data 0.001 (0.001) Loss 1.9317 (1.7597) Prec@1 60.938 (59.879) Prec@5 80.469 (81.464) Epoch: [55][5130/10010] Time 0.335 (0.327) Data 0.001 (0.001) Loss 1.6931 (1.7598) Prec@1 57.812 (59.877) Prec@5 82.031 (81.463) Epoch: [55][5140/10010] Time 0.333 (0.327) Data 0.001 (0.001) Loss 2.2489 (1.7599) Prec@1 54.688 (59.876) Prec@5 75.781 (81.462) Epoch: [55][5150/10010] Time 0.319 (0.327) Data 0.001 (0.001) Loss 1.7605 (1.7599) Prec@1 61.719 (59.878) Prec@5 85.156 (81.464) Epoch: [55][5160/10010] Time 0.320 (0.327) Data 0.001 (0.001) Loss 2.2213 (1.7599) Prec@1 52.344 (59.876) Prec@5 73.438 (81.461) Epoch: [55][5170/10010] Time 0.313 (0.326) Data 0.001 (0.001) Loss 1.7943 (1.7599) Prec@1 60.938 (59.876) Prec@5 80.469 (81.462) Epoch: [55][5180/10010] Time 0.335 (0.326) Data 0.001 (0.001) Loss 1.7137 (1.7600) Prec@1 61.719 (59.873) Prec@5 84.375 (81.460) Epoch: [55][5190/10010] Time 0.336 (0.326) Data 0.000 (0.001) Loss 1.6069 (1.7599) Prec@1 63.281 (59.877) Prec@5 83.594 (81.460) Epoch: [55][5200/10010] Time 0.319 (0.326) Data 0.001 (0.001) Loss 1.6650 (1.7599) Prec@1 64.844 (59.877) Prec@5 82.812 (81.460) Epoch: [55][5210/10010] Time 0.319 (0.326) Data 0.000 (0.001) Loss 1.7327 (1.7597) Prec@1 60.938 (59.879) Prec@5 80.469 (81.462) Epoch: [55][5220/10010] Time 0.322 (0.326) Data 0.001 (0.001) Loss 2.0809 (1.7597) Prec@1 54.688 (59.880) Prec@5 75.000 (81.463) Epoch: [55][5230/10010] Time 0.337 (0.326) Data 0.001 (0.001) Loss 1.7880 (1.7598) Prec@1 64.844 (59.877) Prec@5 82.031 (81.464) Epoch: [55][5240/10010] Time 0.328 (0.326) Data 0.001 (0.001) Loss 1.6149 (1.7599) Prec@1 64.062 (59.877) Prec@5 82.812 (81.462) Epoch: [55][5250/10010] Time 0.327 (0.326) Data 0.001 (0.001) Loss 1.5763 (1.7599) Prec@1 62.500 (59.878) Prec@5 85.156 (81.462) /data/vision/torralba/deepscene/lib/anaconda2/lib/python2.7/site-packages/PIL/TiffImagePlugin.py:692: UserWarning: Possibly corrupt EXIF data. Expecting to read 2555904 bytes but only got 0. Skipping tag 0 "Skipping tag %s" % (size, len(data), tag)) Epoch: [55][5260/10010] Time 0.333 (0.326) Data 0.000 (0.001) Loss 1.9794 (1.7598) Prec@1 50.781 (59.879) Prec@5 80.469 (81.463) Epoch: [55][5270/10010] Time 0.338 (0.326) Data 0.001 (0.001) Loss 2.0431 (1.7597) Prec@1 48.438 (59.881) Prec@5 76.562 (81.466) Epoch: [55][5280/10010] Time 0.318 (0.326) Data 0.001 (0.001) Loss 1.7228 (1.7598) Prec@1 63.281 (59.879) Prec@5 82.812 (81.466) Epoch: [55][5290/10010] Time 0.334 (0.326) Data 0.001 (0.001) Loss 1.8691 (1.7598) Prec@1 54.688 (59.880) Prec@5 81.250 (81.465) Epoch: [55][5300/10010] Time 0.332 (0.326) Data 0.003 (0.001) Loss 1.5731 (1.7597) Prec@1 65.625 (59.883) Prec@5 79.688 (81.467) Epoch: [55][5310/10010] Time 0.336 (0.326) Data 0.001 (0.001) Loss 1.6464 (1.7595) Prec@1 62.500 (59.885) Prec@5 81.250 (81.468) Epoch: [55][5320/10010] Time 0.319 (0.326) Data 0.001 (0.001) Loss 2.0539 (1.7596) Prec@1 55.469 (59.882) Prec@5 82.031 (81.466) Epoch: [55][5330/10010] Time 0.332 (0.326) Data 0.001 (0.001) Loss 1.8669 (1.7596) Prec@1 58.594 (59.883) Prec@5 81.250 (81.466) Epoch: [55][5340/10010] Time 0.318 (0.326) Data 0.001 (0.001) Loss 1.8370 (1.7598) Prec@1 56.250 (59.880) Prec@5 78.906 (81.461) Epoch: [55][5350/10010] Time 0.339 (0.326) Data 0.001 (0.001) Loss 1.5937 (1.7598) Prec@1 59.375 (59.878) Prec@5 83.594 (81.461) Epoch: [55][5360/10010] Time 0.335 (0.327) Data 0.001 (0.001) Loss 1.7831 (1.7600) Prec@1 56.250 (59.876) Prec@5 85.156 (81.460) Epoch: [55][5370/10010] Time 0.324 (0.326) Data 0.001 (0.001) Loss 1.6902 (1.7600) Prec@1 61.719 (59.874) Prec@5 80.469 (81.460) Epoch: [55][5380/10010] Time 0.342 (0.327) Data 0.000 (0.001) Loss 1.4614 (1.7601) Prec@1 66.406 (59.873) Prec@5 86.719 (81.461) Epoch: [55][5390/10010] Time 0.314 (0.327) Data 0.001 (0.001) Loss 1.7244 (1.7601) Prec@1 60.938 (59.870) Prec@5 83.594 (81.461) Epoch: [55][5400/10010] Time 0.314 (0.326) Data 0.001 (0.001) Loss 1.8987 (1.7600) Prec@1 54.688 (59.870) Prec@5 81.250 (81.464) Epoch: [55][5410/10010] Time 0.336 (0.326) Data 0.001 (0.001) Loss 1.7957 (1.7600) Prec@1 57.031 (59.868) Prec@5 81.250 (81.465) Epoch: [55][5420/10010] Time 0.310 (0.326) Data 0.001 (0.001) Loss 1.9007 (1.7601) Prec@1 57.812 (59.867) Prec@5 77.344 (81.463) Epoch: [55][5430/10010] Time 0.314 (0.326) Data 0.001 (0.001) Loss 1.6947 (1.7600) Prec@1 60.938 (59.868) Prec@5 80.469 (81.464) Epoch: [55][5440/10010] Time 0.311 (0.326) Data 0.001 (0.001) Loss 1.5155 (1.7599) Prec@1 61.719 (59.870) Prec@5 87.500 (81.465) Epoch: [55][5450/10010] Time 0.324 (0.326) Data 0.001 (0.001) Loss 1.5401 (1.7599) Prec@1 64.844 (59.872) Prec@5 82.812 (81.466) Epoch: [55][5460/10010] Time 0.328 (0.326) Data 0.001 (0.001) Loss 1.7086 (1.7598) Prec@1 60.938 (59.873) Prec@5 82.812 (81.466) Epoch: [55][5470/10010] Time 0.323 (0.326) Data 0.001 (0.001) Loss 2.0210 (1.7598) Prec@1 57.031 (59.872) Prec@5 80.469 (81.467) Epoch: [55][5480/10010] Time 0.331 (0.326) Data 0.000 (0.001) Loss 1.8200 (1.7597) Prec@1 59.375 (59.873) Prec@5 75.781 (81.466) Epoch: [55][5490/10010] Time 0.329 (0.326) Data 0.001 (0.001) Loss 1.5975 (1.7598) Prec@1 63.281 (59.873) Prec@5 82.812 (81.467) Epoch: [55][5500/10010] Time 0.332 (0.326) Data 0.001 (0.001) Loss 1.9147 (1.7599) Prec@1 55.469 (59.869) Prec@5 76.562 (81.465) Epoch: [55][5510/10010] Time 0.339 (0.326) Data 0.001 (0.001) Loss 1.5030 (1.7598) Prec@1 65.625 (59.870) Prec@5 86.719 (81.463) Epoch: [55][5520/10010] Time 0.332 (0.326) Data 0.000 (0.001) Loss 1.8723 (1.7600) Prec@1 55.469 (59.867) Prec@5 80.469 (81.460) Epoch: [55][5530/10010] Time 0.333 (0.326) Data 0.001 (0.001) Loss 1.5459 (1.7598) Prec@1 62.500 (59.871) Prec@5 82.812 (81.462) Epoch: [55][5540/10010] Time 0.329 (0.326) Data 0.001 (0.001) Loss 1.7545 (1.7598) Prec@1 58.594 (59.872) Prec@5 84.375 (81.461) Epoch: [55][5550/10010] Time 0.313 (0.326) Data 0.001 (0.001) Loss 1.7674 (1.7598) Prec@1 60.938 (59.874) Prec@5 81.250 (81.460) Epoch: [55][5560/10010] Time 0.335 (0.326) Data 0.001 (0.001) Loss 1.9220 (1.7600) Prec@1 53.906 (59.872) Prec@5 75.000 (81.455) Epoch: [55][5570/10010] Time 0.322 (0.326) Data 0.001 (0.001) Loss 1.8004 (1.7599) Prec@1 58.594 (59.873) Prec@5 78.906 (81.456) Epoch: [55][5580/10010] Time 0.331 (0.326) Data 0.002 (0.001) Loss 1.8645 (1.7600) Prec@1 55.469 (59.871) Prec@5 78.125 (81.456) Epoch: [55][5590/10010] Time 0.330 (0.326) Data 0.000 (0.001) Loss 1.7651 (1.7598) Prec@1 56.250 (59.874) Prec@5 80.469 (81.459) Epoch: [55][5600/10010] Time 0.334 (0.326) Data 0.001 (0.001) Loss 1.9556 (1.7599) Prec@1 57.031 (59.873) Prec@5 78.906 (81.456) Epoch: [55][5610/10010] Time 0.314 (0.326) Data 0.001 (0.001) Loss 1.7108 (1.7598) Prec@1 66.406 (59.874) Prec@5 82.031 (81.458) Epoch: [55][5620/10010] Time 0.313 (0.326) Data 0.001 (0.001) Loss 1.7198 (1.7600) Prec@1 64.062 (59.872) Prec@5 83.594 (81.456) Epoch: [55][5630/10010] Time 0.342 (0.326) Data 0.000 (0.001) Loss 1.8484 (1.7600) Prec@1 60.156 (59.869) Prec@5 80.469 (81.455) Epoch: [55][5640/10010] Time 0.337 (0.326) Data 0.001 (0.001) Loss 1.9417 (1.7601) Prec@1 62.500 (59.869) Prec@5 78.906 (81.453) Epoch: [55][5650/10010] Time 0.340 (0.326) Data 0.001 (0.001) Loss 1.6864 (1.7601) Prec@1 64.844 (59.870) Prec@5 79.688 (81.453) Epoch: [55][5660/10010] Time 0.336 (0.326) Data 0.001 (0.001) Loss 1.5911 (1.7600) Prec@1 60.938 (59.873) Prec@5 84.375 (81.452) Epoch: [55][5670/10010] Time 0.341 (0.326) Data 0.001 (0.001) Loss 2.0042 (1.7600) Prec@1 51.562 (59.870) Prec@5 80.469 (81.452) Epoch: [55][5680/10010] Time 0.339 (0.326) Data 0.001 (0.001) Loss 1.8837 (1.7601) Prec@1 53.906 (59.869) Prec@5 78.125 (81.451) Epoch: [55][5690/10010] Time 0.333 (0.327) Data 0.001 (0.001) Loss 2.2194 (1.7601) Prec@1 51.562 (59.868) Prec@5 74.219 (81.448) Epoch: [55][5700/10010] Time 0.341 (0.327) Data 0.001 (0.001) Loss 1.7813 (1.7602) Prec@1 57.812 (59.868) Prec@5 78.906 (81.446) Epoch: [55][5710/10010] Time 0.320 (0.327) Data 0.000 (0.001) Loss 1.4738 (1.7602) Prec@1 65.625 (59.869) Prec@5 86.719 (81.444) Epoch: [55][5720/10010] Time 0.313 (0.326) Data 0.000 (0.001) Loss 1.7652 (1.7603) Prec@1 57.812 (59.869) Prec@5 81.250 (81.443) Epoch: [55][5730/10010] Time 0.336 (0.326) Data 0.001 (0.001) Loss 1.6188 (1.7604) Prec@1 65.625 (59.867) Prec@5 85.156 (81.444) Epoch: [55][5740/10010] Time 0.340 (0.327) Data 0.001 (0.001) Loss 1.6025 (1.7603) Prec@1 59.375 (59.867) Prec@5 79.688 (81.444) Epoch: [55][5750/10010] Time 0.313 (0.327) Data 0.001 (0.001) Loss 2.0301 (1.7604) Prec@1 52.344 (59.869) Prec@5 78.906 (81.443) Epoch: [55][5760/10010] Time 0.340 (0.327) Data 0.001 (0.001) Loss 1.7592 (1.7607) Prec@1 64.844 (59.865) Prec@5 83.594 (81.439) Epoch: [55][5770/10010] Time 0.317 (0.327) Data 0.001 (0.001) Loss 2.0297 (1.7607) Prec@1 56.250 (59.864) Prec@5 76.562 (81.440) Epoch: [55][5780/10010] Time 0.330 (0.327) Data 0.000 (0.001) Loss 1.7093 (1.7608) Prec@1 63.281 (59.865) Prec@5 82.812 (81.439) Epoch: [55][5790/10010] Time 0.335 (0.327) Data 0.001 (0.001) Loss 1.7452 (1.7608) Prec@1 63.281 (59.867) Prec@5 80.469 (81.437) Epoch: [55][5800/10010] Time 0.334 (0.327) Data 0.001 (0.001) Loss 1.5779 (1.7609) Prec@1 60.938 (59.867) Prec@5 85.938 (81.436) Epoch: [55][5810/10010] Time 0.320 (0.327) Data 0.001 (0.001) Loss 1.9137 (1.7609) Prec@1 50.781 (59.865) Prec@5 82.031 (81.435) Epoch: [55][5820/10010] Time 0.330 (0.327) Data 0.001 (0.001) Loss 1.6903 (1.7609) Prec@1 51.562 (59.861) Prec@5 82.812 (81.434) Epoch: [55][5830/10010] Time 0.324 (0.327) Data 0.001 (0.001) Loss 1.6391 (1.7608) Prec@1 64.062 (59.859) Prec@5 85.156 (81.434) Epoch: [55][5840/10010] Time 0.313 (0.327) Data 0.001 (0.001) Loss 1.9515 (1.7609) Prec@1 57.812 (59.855) Prec@5 78.906 (81.432) Epoch: [55][5850/10010] Time 0.313 (0.327) Data 0.001 (0.001) Loss 1.8279 (1.7610) Prec@1 59.375 (59.856) Prec@5 79.688 (81.430) Epoch: [55][5860/10010] Time 0.323 (0.327) Data 0.001 (0.001) Loss 1.9446 (1.7610) Prec@1 57.031 (59.857) Prec@5 79.688 (81.429) Epoch: [55][5870/10010] Time 0.325 (0.327) Data 0.001 (0.001) Loss 1.4266 (1.7609) Prec@1 67.188 (59.858) Prec@5 87.500 (81.434) Epoch: [55][5880/10010] Time 0.319 (0.327) Data 0.000 (0.001) Loss 1.6910 (1.7609) Prec@1 60.938 (59.857) Prec@5 82.812 (81.434) Epoch: [55][5890/10010] Time 0.331 (0.326) Data 0.001 (0.001) Loss 1.8905 (1.7608) Prec@1 62.500 (59.861) Prec@5 79.688 (81.435) Epoch: [55][5900/10010] Time 0.318 (0.326) Data 0.001 (0.001) Loss 1.9391 (1.7609) Prec@1 58.594 (59.864) Prec@5 79.688 (81.435) Epoch: [55][5910/10010] Time 0.335 (0.326) Data 0.001 (0.001) Loss 1.7207 (1.7608) Prec@1 56.250 (59.864) Prec@5 82.812 (81.436) Epoch: [55][5920/10010] Time 0.325 (0.326) Data 0.001 (0.001) Loss 1.7306 (1.7608) Prec@1 59.375 (59.864) Prec@5 82.031 (81.434) Epoch: [55][5930/10010] Time 0.338 (0.326) Data 0.000 (0.001) Loss 1.8535 (1.7608) Prec@1 60.156 (59.863) Prec@5 81.250 (81.436) Epoch: [55][5940/10010] Time 0.325 (0.326) Data 0.001 (0.001) Loss 1.9677 (1.7608) Prec@1 57.812 (59.866) Prec@5 77.344 (81.437) Epoch: [55][5950/10010] Time 0.324 (0.326) Data 0.001 (0.001) Loss 1.6468 (1.7609) Prec@1 61.719 (59.865) Prec@5 82.812 (81.437) Epoch: [55][5960/10010] Time 0.339 (0.326) Data 0.001 (0.001) Loss 1.8413 (1.7609) Prec@1 57.812 (59.866) Prec@5 81.250 (81.436) Epoch: [55][5970/10010] Time 0.311 (0.326) Data 0.001 (0.001) Loss 1.9866 (1.7609) Prec@1 57.812 (59.868) Prec@5 78.125 (81.435) Epoch: [55][5980/10010] Time 0.312 (0.326) Data 0.001 (0.001) Loss 2.1254 (1.7611) Prec@1 53.125 (59.864) Prec@5 73.438 (81.431) Epoch: [55][5990/10010] Time 0.318 (0.326) Data 0.001 (0.001) Loss 2.0132 (1.7612) Prec@1 59.375 (59.862) Prec@5 77.344 (81.429) Epoch: [55][6000/10010] Time 0.313 (0.326) Data 0.001 (0.001) Loss 1.7034 (1.7613) Prec@1 59.375 (59.860) Prec@5 81.250 (81.427) Epoch: [55][6010/10010] Time 0.328 (0.326) Data 0.001 (0.001) Loss 1.6417 (1.7613) Prec@1 58.594 (59.859) Prec@5 85.938 (81.427) Epoch: [55][6020/10010] Time 0.315 (0.326) Data 0.001 (0.001) Loss 1.7323 (1.7613) Prec@1 53.906 (59.857) Prec@5 82.031 (81.425) Epoch: [55][6030/10010] Time 0.333 (0.326) Data 0.001 (0.001) Loss 1.8513 (1.7614) Prec@1 60.156 (59.856) Prec@5 82.031 (81.426) Epoch: [55][6040/10010] Time 0.322 (0.326) Data 0.001 (0.001) Loss 1.7796 (1.7614) Prec@1 58.594 (59.854) Prec@5 78.906 (81.426) Epoch: [55][6050/10010] Time 0.347 (0.326) Data 0.001 (0.001) Loss 1.6493 (1.7614) Prec@1 64.844 (59.852) Prec@5 82.812 (81.426) Epoch: [55][6060/10010] Time 0.335 (0.326) Data 0.000 (0.001) Loss 1.4553 (1.7613) Prec@1 69.531 (59.855) Prec@5 83.594 (81.427) Epoch: [55][6070/10010] Time 0.322 (0.326) Data 0.000 (0.001) Loss 1.8858 (1.7614) Prec@1 56.250 (59.852) Prec@5 78.906 (81.428) Epoch: [55][6080/10010] Time 0.335 (0.326) Data 0.000 (0.001) Loss 2.1559 (1.7614) Prec@1 55.469 (59.850) Prec@5 73.438 (81.428) Epoch: [55][6090/10010] Time 0.335 (0.326) Data 0.001 (0.001) Loss 1.8897 (1.7615) Prec@1 59.375 (59.850) Prec@5 78.125 (81.428) Epoch: [55][6100/10010] Time 0.336 (0.326) Data 0.001 (0.001) Loss 1.5906 (1.7614) Prec@1 57.812 (59.851) Prec@5 82.812 (81.433) Epoch: [55][6110/10010] Time 0.328 (0.326) Data 0.001 (0.001) Loss 1.6097 (1.7613) Prec@1 62.500 (59.853) Prec@5 85.156 (81.434) Epoch: [55][6120/10010] Time 0.316 (0.326) Data 0.000 (0.001) Loss 1.6228 (1.7612) Prec@1 63.281 (59.855) Prec@5 79.688 (81.436) Epoch: [55][6130/10010] Time 0.342 (0.326) Data 0.000 (0.001) Loss 1.9633 (1.7612) Prec@1 57.031 (59.858) Prec@5 75.781 (81.436) Epoch: [55][6140/10010] Time 0.323 (0.326) Data 0.001 (0.001) Loss 1.7461 (1.7612) Prec@1 61.719 (59.859) Prec@5 78.125 (81.436) Epoch: [55][6150/10010] Time 0.323 (0.326) Data 0.001 (0.001) Loss 1.5950 (1.7612) Prec@1 70.312 (59.862) Prec@5 85.156 (81.435) Epoch: [55][6160/10010] Time 0.341 (0.326) Data 0.000 (0.001) Loss 1.6569 (1.7612) Prec@1 65.625 (59.863) Prec@5 82.812 (81.435) Epoch: [55][6170/10010] Time 0.339 (0.326) Data 0.000 (0.001) Loss 1.9135 (1.7613) Prec@1 53.906 (59.860) Prec@5 77.344 (81.435) Epoch: [55][6180/10010] Time 0.342 (0.326) Data 0.001 (0.001) Loss 1.8846 (1.7615) Prec@1 56.250 (59.857) Prec@5 80.469 (81.432) Epoch: [55][6190/10010] Time 0.332 (0.326) Data 0.001 (0.001) Loss 1.8880 (1.7615) Prec@1 63.281 (59.858) Prec@5 79.688 (81.432) Epoch: [55][6200/10010] Time 0.322 (0.326) Data 0.001 (0.001) Loss 1.6435 (1.7614) Prec@1 61.719 (59.861) Prec@5 82.031 (81.432) Epoch: [55][6210/10010] Time 0.320 (0.326) Data 0.001 (0.001) Loss 2.0664 (1.7615) Prec@1 60.938 (59.860) Prec@5 78.906 (81.430) /data/vision/torralba/deepscene/lib/anaconda2/lib/python2.7/site-packages/PIL/TiffImagePlugin.py:692: UserWarning: Possibly corrupt EXIF data. Expecting to read 2555904 bytes but only got 0. Skipping tag 0 "Skipping tag %s" % (size, len(data), tag)) Epoch: [55][6220/10010] Time 0.327 (0.326) Data 0.001 (0.001) Loss 1.7710 (1.7616) Prec@1 63.281 (59.856) Prec@5 80.469 (81.428) Epoch: [55][6230/10010] Time 0.328 (0.326) Data 0.001 (0.001) Loss 1.8473 (1.7617) Prec@1 58.594 (59.853) Prec@5 81.250 (81.426) Epoch: [55][6240/10010] Time 0.315 (0.326) Data 0.001 (0.001) Loss 1.6853 (1.7617) Prec@1 57.031 (59.853) Prec@5 83.594 (81.427) Epoch: [55][6250/10010] Time 0.312 (0.326) Data 0.001 (0.001) Loss 1.7005 (1.7616) Prec@1 58.594 (59.854) Prec@5 86.719 (81.429) Epoch: [55][6260/10010] Time 0.314 (0.326) Data 0.000 (0.001) Loss 1.9141 (1.7617) Prec@1 57.031 (59.853) Prec@5 79.688 (81.427) Epoch: [55][6270/10010] Time 0.338 (0.326) Data 0.001 (0.001) Loss 1.8623 (1.7617) Prec@1 61.719 (59.853) Prec@5 77.344 (81.426) Epoch: [55][6280/10010] Time 0.322 (0.326) Data 0.001 (0.001) Loss 1.8146 (1.7618) Prec@1 59.375 (59.854) Prec@5 81.250 (81.427) Epoch: [55][6290/10010] Time 0.325 (0.326) Data 0.001 (0.001) Loss 2.1186 (1.7619) Prec@1 56.250 (59.853) Prec@5 73.438 (81.425) Epoch: [55][6300/10010] Time 0.339 (0.326) Data 0.000 (0.001) Loss 1.8615 (1.7619) Prec@1 57.812 (59.852) Prec@5 83.594 (81.424) Epoch: [55][6310/10010] Time 0.310 (0.326) Data 0.001 (0.001) Loss 1.6883 (1.7619) Prec@1 62.500 (59.852) Prec@5 85.938 (81.427) Epoch: [55][6320/10010] Time 0.335 (0.326) Data 0.001 (0.001) Loss 1.8041 (1.7618) Prec@1 60.938 (59.855) Prec@5 82.812 (81.430) Epoch: [55][6330/10010] Time 0.346 (0.326) Data 0.001 (0.001) Loss 1.9808 (1.7617) Prec@1 57.812 (59.856) Prec@5 78.125 (81.431) Epoch: [55][6340/10010] Time 0.337 (0.326) Data 0.001 (0.001) Loss 2.2333 (1.7620) Prec@1 57.031 (59.852) Prec@5 73.438 (81.426) Epoch: [55][6350/10010] Time 0.314 (0.326) Data 0.001 (0.001) Loss 1.9952 (1.7620) Prec@1 57.031 (59.851) Prec@5 76.562 (81.425) Epoch: [55][6360/10010] Time 0.329 (0.326) Data 0.001 (0.001) Loss 1.8495 (1.7621) Prec@1 57.812 (59.848) Prec@5 82.812 (81.425) Epoch: [55][6370/10010] Time 0.327 (0.326) Data 0.001 (0.001) Loss 1.7473 (1.7619) Prec@1 62.500 (59.853) Prec@5 79.688 (81.427) Epoch: [55][6380/10010] Time 0.328 (0.326) Data 0.000 (0.001) Loss 1.6267 (1.7619) Prec@1 66.406 (59.852) Prec@5 82.031 (81.425) Epoch: [55][6390/10010] Time 0.310 (0.326) Data 0.001 (0.001) Loss 1.9067 (1.7618) Prec@1 60.938 (59.855) Prec@5 78.906 (81.426) Epoch: [55][6400/10010] Time 0.310 (0.326) Data 0.001 (0.001) Loss 1.7206 (1.7620) Prec@1 59.375 (59.851) Prec@5 82.031 (81.423) Epoch: [55][6410/10010] Time 0.342 (0.326) Data 0.000 (0.001) Loss 1.3356 (1.7619) Prec@1 69.531 (59.855) Prec@5 86.719 (81.425) Epoch: [55][6420/10010] Time 0.327 (0.326) Data 0.000 (0.001) Loss 1.8721 (1.7618) Prec@1 58.594 (59.857) Prec@5 81.250 (81.426) Epoch: [55][6430/10010] Time 0.317 (0.326) Data 0.001 (0.001) Loss 2.2618 (1.7619) Prec@1 50.000 (59.855) Prec@5 75.000 (81.424) Epoch: [55][6440/10010] Time 0.335 (0.326) Data 0.001 (0.001) Loss 1.7694 (1.7617) Prec@1 60.156 (59.856) Prec@5 82.031 (81.427) Epoch: [55][6450/10010] Time 0.328 (0.326) Data 0.000 (0.001) Loss 1.4237 (1.7616) Prec@1 66.406 (59.861) Prec@5 85.156 (81.429) Epoch: [55][6460/10010] Time 0.317 (0.326) Data 0.001 (0.001) Loss 1.7513 (1.7615) Prec@1 57.812 (59.860) Prec@5 80.469 (81.429) Epoch: [55][6470/10010] Time 0.319 (0.326) Data 0.000 (0.001) Loss 1.6781 (1.7616) Prec@1 61.719 (59.861) Prec@5 81.250 (81.429) Epoch: [55][6480/10010] Time 0.310 (0.326) Data 0.001 (0.001) Loss 2.2219 (1.7618) Prec@1 53.906 (59.859) Prec@5 74.219 (81.426) Epoch: [55][6490/10010] Time 0.318 (0.326) Data 0.000 (0.001) Loss 1.7786 (1.7618) Prec@1 56.250 (59.858) Prec@5 79.688 (81.427) Epoch: [55][6500/10010] Time 0.324 (0.326) Data 0.001 (0.001) Loss 1.8761 (1.7617) Prec@1 59.375 (59.859) Prec@5 78.906 (81.427) Epoch: [55][6510/10010] Time 0.340 (0.326) Data 0.001 (0.001) Loss 1.4564 (1.7618) Prec@1 65.625 (59.856) Prec@5 86.719 (81.426) Epoch: [55][6520/10010] Time 0.323 (0.326) Data 0.001 (0.001) Loss 2.0671 (1.7617) Prec@1 56.250 (59.860) Prec@5 75.000 (81.427) /data/vision/torralba/deepscene/lib/anaconda2/lib/python2.7/site-packages/PIL/TiffImagePlugin.py:709: UserWarning: Corrupt EXIF data. Expecting to read 4 bytes but only got 0. warnings.warn(str(msg)) Epoch: [55][6530/10010] Time 0.324 (0.326) Data 0.000 (0.001) Loss 1.9933 (1.7617) Prec@1 57.031 (59.861) Prec@5 78.906 (81.426) Epoch: [55][6540/10010] Time 0.313 (0.326) Data 0.001 (0.001) Loss 1.7704 (1.7618) Prec@1 62.500 (59.861) Prec@5 82.812 (81.426) Epoch: [55][6550/10010] Time 0.333 (0.326) Data 0.001 (0.001) Loss 2.0083 (1.7619) Prec@1 53.125 (59.859) Prec@5 81.250 (81.424) Epoch: [55][6560/10010] Time 0.322 (0.326) Data 0.001 (0.001) Loss 1.6695 (1.7618) Prec@1 58.594 (59.859) Prec@5 82.031 (81.425) Epoch: [55][6570/10010] Time 0.320 (0.326) Data 0.001 (0.001) Loss 1.8523 (1.7620) Prec@1 60.156 (59.857) Prec@5 79.688 (81.423) Epoch: [55][6580/10010] Time 0.326 (0.326) Data 0.001 (0.001) Loss 1.8727 (1.7621) Prec@1 57.031 (59.853) Prec@5 78.125 (81.423) Epoch: [55][6590/10010] Time 0.323 (0.326) Data 0.001 (0.001) Loss 1.8573 (1.7621) Prec@1 59.375 (59.852) Prec@5 78.125 (81.420) Epoch: [55][6600/10010] Time 0.312 (0.326) Data 0.001 (0.001) Loss 1.8646 (1.7621) Prec@1 61.719 (59.854) Prec@5 78.125 (81.420) Epoch: [55][6610/10010] Time 0.337 (0.326) Data 0.001 (0.001) Loss 1.8274 (1.7622) Prec@1 59.375 (59.854) Prec@5 79.688 (81.419) Epoch: [55][6620/10010] Time 0.316 (0.326) Data 0.000 (0.001) Loss 1.6394 (1.7621) Prec@1 59.375 (59.853) Prec@5 84.375 (81.421) Epoch: [55][6630/10010] Time 0.323 (0.326) Data 0.001 (0.001) Loss 1.7074 (1.7621) Prec@1 61.719 (59.854) Prec@5 82.031 (81.419) Epoch: [55][6640/10010] Time 0.315 (0.326) Data 0.001 (0.001) Loss 2.1520 (1.7622) Prec@1 53.125 (59.854) Prec@5 73.438 (81.417) Epoch: [55][6650/10010] Time 0.325 (0.326) Data 0.001 (0.001) Loss 2.2543 (1.7622) Prec@1 50.000 (59.852) Prec@5 77.344 (81.416) Epoch: [55][6660/10010] Time 0.319 (0.326) Data 0.001 (0.001) Loss 1.6616 (1.7622) Prec@1 65.625 (59.851) Prec@5 82.031 (81.416) Epoch: [55][6670/10010] Time 0.327 (0.326) Data 0.001 (0.001) Loss 2.2224 (1.7623) Prec@1 51.562 (59.850) Prec@5 72.656 (81.414) Epoch: [55][6680/10010] Time 0.317 (0.326) Data 0.001 (0.001) Loss 1.8968 (1.7623) Prec@1 56.250 (59.850) Prec@5 78.906 (81.413) Epoch: [55][6690/10010] Time 0.325 (0.326) Data 0.001 (0.001) Loss 1.7724 (1.7622) Prec@1 62.500 (59.853) Prec@5 79.688 (81.414) Epoch: [55][6700/10010] Time 0.321 (0.326) Data 0.000 (0.001) Loss 2.0388 (1.7622) Prec@1 55.469 (59.854) Prec@5 77.344 (81.414) Epoch: [55][6710/10010] Time 0.340 (0.326) Data 0.001 (0.001) Loss 1.6183 (1.7621) Prec@1 64.844 (59.855) Prec@5 82.812 (81.414) Epoch: [55][6720/10010] Time 0.320 (0.326) Data 0.003 (0.001) Loss 1.8877 (1.7622) Prec@1 57.031 (59.853) Prec@5 82.812 (81.414) Epoch: [55][6730/10010] Time 0.321 (0.326) Data 0.001 (0.001) Loss 1.7461 (1.7621) Prec@1 65.625 (59.856) Prec@5 77.344 (81.413) Epoch: [55][6740/10010] Time 0.336 (0.326) Data 0.001 (0.001) Loss 1.4263 (1.7620) Prec@1 68.750 (59.858) Prec@5 82.812 (81.414) Epoch: [55][6750/10010] Time 0.329 (0.326) Data 0.000 (0.001) Loss 1.6319 (1.7619) Prec@1 64.844 (59.861) Prec@5 85.156 (81.414) Epoch: [55][6760/10010] Time 0.331 (0.326) Data 0.000 (0.001) Loss 1.5288 (1.7619) Prec@1 65.625 (59.859) Prec@5 82.812 (81.414) Epoch: [55][6770/10010] Time 0.320 (0.326) Data 0.000 (0.001) Loss 1.6324 (1.7618) Prec@1 66.406 (59.862) Prec@5 82.812 (81.416) Epoch: [55][6780/10010] Time 0.329 (0.326) Data 0.000 (0.001) Loss 1.8166 (1.7619) Prec@1 63.281 (59.861) Prec@5 81.250 (81.416) Epoch: [55][6790/10010] Time 0.324 (0.326) Data 0.000 (0.001) Loss 1.6485 (1.7620) Prec@1 64.844 (59.859) Prec@5 81.250 (81.414) Epoch: [55][6800/10010] Time 0.326 (0.326) Data 0.000 (0.001) Loss 1.8557 (1.7621) Prec@1 57.031 (59.855) Prec@5 82.812 (81.413) Epoch: [55][6810/10010] Time 0.334 (0.326) Data 0.001 (0.001) Loss 1.7965 (1.7621) Prec@1 57.812 (59.857) Prec@5 79.688 (81.413) Epoch: [55][6820/10010] Time 0.321 (0.326) Data 0.001 (0.001) Loss 1.6797 (1.7621) Prec@1 62.500 (59.856) Prec@5 81.250 (81.413) Epoch: [55][6830/10010] Time 0.321 (0.326) Data 0.001 (0.001) Loss 1.6742 (1.7621) Prec@1 60.156 (59.855) Prec@5 82.812 (81.411) Epoch: [55][6840/10010] Time 0.320 (0.326) Data 0.001 (0.001) Loss 2.2209 (1.7624) Prec@1 48.438 (59.850) Prec@5 75.781 (81.407) Epoch: [55][6850/10010] Time 0.333 (0.326) Data 0.001 (0.001) Loss 1.7706 (1.7625) Prec@1 64.062 (59.850) Prec@5 81.250 (81.408) Epoch: [55][6860/10010] Time 0.322 (0.326) Data 0.001 (0.001) Loss 1.5393 (1.7625) Prec@1 64.062 (59.849) Prec@5 85.156 (81.409) Epoch: [55][6870/10010] Time 0.315 (0.326) Data 0.000 (0.001) Loss 2.0511 (1.7626) Prec@1 52.344 (59.849) Prec@5 78.906 (81.409) Epoch: [55][6880/10010] Time 0.317 (0.326) Data 0.001 (0.001) Loss 1.9649 (1.7628) Prec@1 56.250 (59.847) Prec@5 75.781 (81.406) Epoch: [55][6890/10010] Time 0.329 (0.326) Data 0.001 (0.001) Loss 1.6734 (1.7628) Prec@1 63.281 (59.848) Prec@5 83.594 (81.406) Epoch: [55][6900/10010] Time 0.333 (0.326) Data 0.001 (0.001) Loss 1.4991 (1.7627) Prec@1 63.281 (59.850) Prec@5 84.375 (81.406) Epoch: [55][6910/10010] Time 0.319 (0.326) Data 0.001 (0.001) Loss 1.6529 (1.7628) Prec@1 62.500 (59.849) Prec@5 82.031 (81.403) Epoch: [55][6920/10010] Time 0.314 (0.326) Data 0.001 (0.001) Loss 1.6807 (1.7628) Prec@1 64.062 (59.849) Prec@5 83.594 (81.403) Epoch: [55][6930/10010] Time 0.340 (0.326) Data 0.001 (0.001) Loss 1.6553 (1.7630) Prec@1 60.938 (59.847) Prec@5 84.375 (81.399) Epoch: [55][6940/10010] Time 0.335 (0.326) Data 0.001 (0.001) Loss 1.5218 (1.7629) Prec@1 60.156 (59.848) Prec@5 85.938 (81.402) Epoch: [55][6950/10010] Time 0.331 (0.326) Data 0.001 (0.001) Loss 1.7904 (1.7628) Prec@1 61.719 (59.849) Prec@5 79.688 (81.402) Epoch: [55][6960/10010] Time 0.322 (0.326) Data 0.001 (0.001) Loss 1.8440 (1.7630) Prec@1 54.688 (59.847) Prec@5 78.125 (81.400) Epoch: [55][6970/10010] Time 0.332 (0.326) Data 0.001 (0.001) Loss 1.6228 (1.7629) Prec@1 60.156 (59.846) Prec@5 82.812 (81.402) Epoch: [55][6980/10010] Time 0.327 (0.326) Data 0.000 (0.001) Loss 1.6537 (1.7629) Prec@1 58.594 (59.843) Prec@5 82.812 (81.401) Epoch: [55][6990/10010] Time 0.320 (0.326) Data 0.000 (0.001) Loss 1.9206 (1.7630) Prec@1 54.688 (59.840) Prec@5 81.250 (81.400) Epoch: [55][7000/10010] Time 0.321 (0.326) Data 0.000 (0.001) Loss 1.7647 (1.7630) Prec@1 56.250 (59.841) Prec@5 78.906 (81.401) Epoch: [55][7010/10010] Time 0.335 (0.326) Data 0.000 (0.001) Loss 1.4368 (1.7629) Prec@1 68.750 (59.843) Prec@5 84.375 (81.401) Epoch: [55][7020/10010] Time 0.320 (0.326) Data 0.000 (0.001) Loss 1.5271 (1.7629) Prec@1 61.719 (59.843) Prec@5 88.281 (81.400) Epoch: [55][7030/10010] Time 0.320 (0.326) Data 0.000 (0.001) Loss 1.6292 (1.7628) Prec@1 63.281 (59.842) Prec@5 82.812 (81.401) Epoch: [55][7040/10010] Time 0.337 (0.326) Data 0.001 (0.001) Loss 1.6132 (1.7628) Prec@1 64.062 (59.844) Prec@5 86.719 (81.404) Epoch: [55][7050/10010] Time 0.320 (0.326) Data 0.001 (0.001) Loss 1.5651 (1.7624) Prec@1 60.938 (59.849) Prec@5 83.594 (81.408) Epoch: [55][7060/10010] Time 0.332 (0.326) Data 0.001 (0.001) Loss 1.9128 (1.7626) Prec@1 60.156 (59.847) Prec@5 77.344 (81.406) Epoch: [55][7070/10010] Time 0.335 (0.326) Data 0.000 (0.001) Loss 1.9364 (1.7626) Prec@1 53.125 (59.848) Prec@5 75.781 (81.406) Epoch: [55][7080/10010] Time 0.339 (0.326) Data 0.001 (0.001) Loss 1.7598 (1.7626) Prec@1 60.938 (59.848) Prec@5 82.812 (81.405) Epoch: [55][7090/10010] Time 0.320 (0.326) Data 0.001 (0.001) Loss 1.9039 (1.7627) Prec@1 55.469 (59.845) Prec@5 80.469 (81.405) Epoch: [55][7100/10010] Time 0.334 (0.326) Data 0.000 (0.001) Loss 2.2177 (1.7627) Prec@1 51.562 (59.844) Prec@5 74.219 (81.404) Epoch: [55][7110/10010] Time 0.319 (0.326) Data 0.001 (0.001) Loss 1.7128 (1.7627) Prec@1 64.062 (59.845) Prec@5 78.125 (81.404) Epoch: [55][7120/10010] Time 0.310 (0.326) Data 0.001 (0.001) Loss 1.7298 (1.7629) Prec@1 60.156 (59.846) Prec@5 79.688 (81.400) Epoch: [55][7130/10010] Time 0.326 (0.326) Data 0.001 (0.001) Loss 1.7212 (1.7628) Prec@1 60.156 (59.846) Prec@5 83.594 (81.401) Epoch: [55][7140/10010] Time 0.323 (0.326) Data 0.001 (0.001) Loss 1.8194 (1.7629) Prec@1 58.594 (59.844) Prec@5 82.031 (81.402) Epoch: [55][7150/10010] Time 0.338 (0.326) Data 0.000 (0.001) Loss 1.8217 (1.7629) Prec@1 60.156 (59.845) Prec@5 83.594 (81.402) Epoch: [55][7160/10010] Time 0.314 (0.326) Data 0.001 (0.001) Loss 1.9080 (1.7630) Prec@1 57.812 (59.843) Prec@5 81.250 (81.402) Epoch: [55][7170/10010] Time 0.321 (0.326) Data 0.001 (0.001) Loss 2.1662 (1.7631) Prec@1 50.781 (59.839) Prec@5 72.656 (81.401) Epoch: [55][7180/10010] Time 0.315 (0.326) Data 0.000 (0.001) Loss 1.8684 (1.7631) Prec@1 58.594 (59.841) Prec@5 82.812 (81.402) Epoch: [55][7190/10010] Time 0.313 (0.326) Data 0.001 (0.001) Loss 1.8793 (1.7631) Prec@1 63.281 (59.840) Prec@5 78.125 (81.401) Epoch: [55][7200/10010] Time 0.340 (0.326) Data 0.001 (0.001) Loss 1.7955 (1.7630) Prec@1 57.031 (59.842) Prec@5 83.594 (81.403) Epoch: [55][7210/10010] Time 0.321 (0.326) Data 0.000 (0.001) Loss 1.7642 (1.7630) Prec@1 60.156 (59.841) Prec@5 81.250 (81.402) Epoch: [55][7220/10010] Time 0.332 (0.326) Data 0.001 (0.001) Loss 1.6751 (1.7630) Prec@1 60.156 (59.842) Prec@5 80.469 (81.403) Epoch: [55][7230/10010] Time 0.321 (0.326) Data 0.000 (0.001) Loss 1.9394 (1.7630) Prec@1 55.469 (59.841) Prec@5 75.000 (81.402) Epoch: [55][7240/10010] Time 0.320 (0.326) Data 0.000 (0.001) Loss 2.1515 (1.7632) Prec@1 50.781 (59.840) Prec@5 74.219 (81.399) Epoch: [55][7250/10010] Time 0.326 (0.326) Data 0.001 (0.001) Loss 1.7451 (1.7631) Prec@1 60.156 (59.840) Prec@5 78.906 (81.400) Epoch: [55][7260/10010] Time 0.318 (0.326) Data 0.000 (0.001) Loss 1.7135 (1.7631) Prec@1 63.281 (59.839) Prec@5 83.594 (81.400) Epoch: [55][7270/10010] Time 0.319 (0.326) Data 0.000 (0.001) Loss 1.9996 (1.7633) Prec@1 53.125 (59.834) Prec@5 78.906 (81.396) Epoch: [55][7280/10010] Time 0.335 (0.326) Data 0.001 (0.001) Loss 1.5054 (1.7633) Prec@1 67.188 (59.836) Prec@5 85.938 (81.396) Epoch: [55][7290/10010] Time 0.340 (0.326) Data 0.000 (0.001) Loss 1.6877 (1.7633) Prec@1 61.719 (59.836) Prec@5 82.031 (81.396) Epoch: [55][7300/10010] Time 0.332 (0.326) Data 0.001 (0.001) Loss 1.7315 (1.7633) Prec@1 60.938 (59.834) Prec@5 80.469 (81.396) Epoch: [55][7310/10010] Time 0.321 (0.326) Data 0.001 (0.001) Loss 1.9687 (1.7635) Prec@1 57.031 (59.830) Prec@5 80.469 (81.394) Epoch: [55][7320/10010] Time 0.342 (0.326) Data 0.001 (0.001) Loss 1.4970 (1.7633) Prec@1 65.625 (59.832) Prec@5 85.156 (81.395) Epoch: [55][7330/10010] Time 0.313 (0.326) Data 0.001 (0.001) Loss 1.8033 (1.7633) Prec@1 65.625 (59.831) Prec@5 82.812 (81.396) Epoch: [55][7340/10010] Time 0.332 (0.326) Data 0.000 (0.001) Loss 1.8136 (1.7634) Prec@1 62.500 (59.829) Prec@5 79.688 (81.395) Epoch: [55][7350/10010] Time 0.320 (0.326) Data 0.000 (0.001) Loss 1.6354 (1.7634) Prec@1 59.375 (59.830) Prec@5 85.938 (81.396) Epoch: [55][7360/10010] Time 0.333 (0.326) Data 0.001 (0.001) Loss 1.4938 (1.7635) Prec@1 63.281 (59.828) Prec@5 88.281 (81.395) Epoch: [55][7370/10010] Time 0.322 (0.326) Data 0.001 (0.001) Loss 1.6402 (1.7634) Prec@1 63.281 (59.830) Prec@5 82.031 (81.395) Epoch: [55][7380/10010] Time 0.316 (0.326) Data 0.001 (0.001) Loss 1.7702 (1.7635) Prec@1 61.719 (59.830) Prec@5 80.469 (81.394) Epoch: [55][7390/10010] Time 0.326 (0.326) Data 0.001 (0.001) Loss 1.5908 (1.7635) Prec@1 60.156 (59.828) Prec@5 81.250 (81.394) Epoch: [55][7400/10010] Time 0.338 (0.326) Data 0.001 (0.001) Loss 1.9155 (1.7635) Prec@1 57.812 (59.828) Prec@5 81.250 (81.396) Epoch: [55][7410/10010] Time 0.322 (0.326) Data 0.001 (0.001) Loss 1.6353 (1.7636) Prec@1 57.812 (59.826) Prec@5 84.375 (81.394) Epoch: [55][7420/10010] Time 0.317 (0.326) Data 0.001 (0.001) Loss 1.6627 (1.7635) Prec@1 60.156 (59.826) Prec@5 83.594 (81.396) Epoch: [55][7430/10010] Time 0.322 (0.326) Data 0.001 (0.001) Loss 1.8143 (1.7635) Prec@1 54.688 (59.827) Prec@5 79.688 (81.396) Epoch: [55][7440/10010] Time 0.320 (0.326) Data 0.000 (0.001) Loss 2.0977 (1.7636) Prec@1 56.250 (59.826) Prec@5 78.906 (81.395) Epoch: [55][7450/10010] Time 0.313 (0.326) Data 0.001 (0.001) Loss 1.5912 (1.7635) Prec@1 65.625 (59.830) Prec@5 83.594 (81.397) Epoch: [55][7460/10010] Time 0.327 (0.326) Data 0.001 (0.001) Loss 2.0636 (1.7636) Prec@1 53.906 (59.826) Prec@5 77.344 (81.397) Epoch: [55][7470/10010] Time 0.328 (0.326) Data 0.000 (0.001) Loss 1.6629 (1.7635) Prec@1 63.281 (59.828) Prec@5 85.156 (81.400) Epoch: [55][7480/10010] Time 0.313 (0.326) Data 0.000 (0.001) Loss 1.8511 (1.7636) Prec@1 60.938 (59.826) Prec@5 78.125 (81.398) Epoch: [55][7490/10010] Time 0.320 (0.326) Data 0.001 (0.001) Loss 1.8287 (1.7637) Prec@1 57.031 (59.826) Prec@5 78.906 (81.396) Epoch: [55][7500/10010] Time 0.332 (0.326) Data 0.001 (0.001) Loss 1.7756 (1.7636) Prec@1 64.062 (59.828) Prec@5 78.906 (81.397) Epoch: [55][7510/10010] Time 0.317 (0.326) Data 0.001 (0.001) Loss 1.7207 (1.7636) Prec@1 61.719 (59.829) Prec@5 83.594 (81.397) Epoch: [55][7520/10010] Time 0.336 (0.326) Data 0.000 (0.001) Loss 1.7064 (1.7636) Prec@1 57.812 (59.828) Prec@5 84.375 (81.396) Epoch: [55][7530/10010] Time 0.334 (0.326) Data 0.001 (0.001) Loss 1.8476 (1.7636) Prec@1 58.594 (59.829) Prec@5 78.125 (81.398) Epoch: [55][7540/10010] Time 0.320 (0.326) Data 0.001 (0.001) Loss 1.9305 (1.7636) Prec@1 57.031 (59.828) Prec@5 78.906 (81.397) Epoch: [55][7550/10010] Time 0.311 (0.326) Data 0.001 (0.001) Loss 1.4761 (1.7637) Prec@1 63.281 (59.825) Prec@5 85.938 (81.395) Epoch: [55][7560/10010] Time 0.316 (0.326) Data 0.001 (0.001) Loss 1.8252 (1.7638) Prec@1 58.594 (59.823) Prec@5 78.125 (81.394) Epoch: [55][7570/10010] Time 0.330 (0.326) Data 0.001 (0.001) Loss 1.6634 (1.7637) Prec@1 61.719 (59.826) Prec@5 79.688 (81.394) Epoch: [55][7580/10010] Time 0.318 (0.326) Data 0.001 (0.001) Loss 1.8642 (1.7637) Prec@1 55.469 (59.826) Prec@5 79.688 (81.393) Epoch: [55][7590/10010] Time 0.326 (0.326) Data 0.001 (0.001) Loss 1.8195 (1.7637) Prec@1 57.812 (59.827) Prec@5 79.688 (81.392) Epoch: [55][7600/10010] Time 0.321 (0.326) Data 0.000 (0.001) Loss 1.7078 (1.7637) Prec@1 60.938 (59.824) Prec@5 82.031 (81.391) Epoch: [55][7610/10010] Time 0.322 (0.326) Data 0.000 (0.001) Loss 1.6983 (1.7637) Prec@1 63.281 (59.822) Prec@5 83.594 (81.391) Epoch: [55][7620/10010] Time 0.327 (0.326) Data 0.001 (0.001) Loss 1.5037 (1.7638) Prec@1 64.844 (59.819) Prec@5 88.281 (81.390) Epoch: [55][7630/10010] Time 0.334 (0.326) Data 0.001 (0.001) Loss 1.5414 (1.7639) Prec@1 61.719 (59.819) Prec@5 84.375 (81.388) Epoch: [55][7640/10010] Time 0.311 (0.326) Data 0.001 (0.001) Loss 2.0706 (1.7641) Prec@1 52.344 (59.815) Prec@5 75.781 (81.385) Epoch: [55][7650/10010] Time 0.320 (0.326) Data 0.001 (0.001) Loss 1.7434 (1.7640) Prec@1 61.719 (59.816) Prec@5 83.594 (81.387) Epoch: [55][7660/10010] Time 0.318 (0.326) Data 0.000 (0.001) Loss 2.1507 (1.7640) Prec@1 51.562 (59.813) Prec@5 75.000 (81.387) Epoch: [55][7670/10010] Time 0.323 (0.326) Data 0.001 (0.001) Loss 1.7951 (1.7640) Prec@1 60.938 (59.814) Prec@5 78.906 (81.386) Epoch: [55][7680/10010] Time 0.319 (0.326) Data 0.001 (0.001) Loss 1.6787 (1.7640) Prec@1 63.281 (59.814) Prec@5 83.594 (81.387) Epoch: [55][7690/10010] Time 0.329 (0.326) Data 0.000 (0.001) Loss 1.7423 (1.7640) Prec@1 60.156 (59.812) Prec@5 81.250 (81.387) Epoch: [55][7700/10010] Time 0.322 (0.326) Data 0.001 (0.001) Loss 1.6837 (1.7639) Prec@1 60.156 (59.814) Prec@5 80.469 (81.388) Epoch: [55][7710/10010] Time 0.316 (0.326) Data 0.001 (0.001) Loss 1.7595 (1.7639) Prec@1 59.375 (59.816) Prec@5 82.031 (81.389) Epoch: [55][7720/10010] Time 0.313 (0.326) Data 0.001 (0.001) Loss 2.2071 (1.7640) Prec@1 49.219 (59.811) Prec@5 75.000 (81.386) Epoch: [55][7730/10010] Time 0.337 (0.326) Data 0.001 (0.001) Loss 1.7020 (1.7640) Prec@1 59.375 (59.812) Prec@5 80.469 (81.386) Epoch: [55][7740/10010] Time 0.330 (0.326) Data 0.001 (0.001) Loss 1.8261 (1.7642) Prec@1 56.250 (59.808) Prec@5 80.469 (81.385) Epoch: [55][7750/10010] Time 0.339 (0.326) Data 0.000 (0.001) Loss 1.6949 (1.7643) Prec@1 62.500 (59.807) Prec@5 83.594 (81.385) Epoch: [55][7760/10010] Time 0.320 (0.326) Data 0.000 (0.001) Loss 1.9414 (1.7644) Prec@1 60.156 (59.804) Prec@5 77.344 (81.384) Epoch: [55][7770/10010] Time 0.333 (0.326) Data 0.001 (0.001) Loss 1.8120 (1.7644) Prec@1 62.500 (59.804) Prec@5 82.031 (81.384) Epoch: [55][7780/10010] Time 0.321 (0.326) Data 0.000 (0.001) Loss 1.8403 (1.7644) Prec@1 57.031 (59.805) Prec@5 79.688 (81.384) Epoch: [55][7790/10010] Time 0.320 (0.326) Data 0.000 (0.001) Loss 1.8421 (1.7645) Prec@1 55.469 (59.803) Prec@5 80.469 (81.381) Epoch: [55][7800/10010] Time 0.336 (0.326) Data 0.001 (0.001) Loss 1.8605 (1.7646) Prec@1 63.281 (59.801) Prec@5 80.469 (81.379) Epoch: [55][7810/10010] Time 0.318 (0.326) Data 0.001 (0.001) Loss 1.6966 (1.7646) Prec@1 58.594 (59.801) Prec@5 82.031 (81.379) Epoch: [55][7820/10010] Time 0.321 (0.326) Data 0.001 (0.001) Loss 1.9741 (1.7647) Prec@1 54.688 (59.799) Prec@5 78.125 (81.378) Epoch: [55][7830/10010] Time 0.332 (0.326) Data 0.001 (0.001) Loss 1.5977 (1.7647) Prec@1 65.625 (59.801) Prec@5 83.594 (81.378) Epoch: [55][7840/10010] Time 0.339 (0.326) Data 0.001 (0.001) Loss 1.9011 (1.7647) Prec@1 54.688 (59.800) Prec@5 76.562 (81.378) Epoch: [55][7850/10010] Time 0.317 (0.326) Data 0.001 (0.001) Loss 1.5290 (1.7648) Prec@1 67.969 (59.798) Prec@5 84.375 (81.377) Epoch: [55][7860/10010] Time 0.339 (0.326) Data 0.001 (0.001) Loss 1.7857 (1.7648) Prec@1 54.688 (59.798) Prec@5 81.250 (81.377) Epoch: [55][7870/10010] Time 0.312 (0.326) Data 0.001 (0.001) Loss 2.1220 (1.7648) Prec@1 55.469 (59.800) Prec@5 79.688 (81.377) Epoch: [55][7880/10010] Time 0.326 (0.326) Data 0.001 (0.001) Loss 1.6371 (1.7647) Prec@1 60.938 (59.799) Prec@5 84.375 (81.377) Epoch: [55][7890/10010] Time 0.333 (0.326) Data 0.001 (0.001) Loss 1.9564 (1.7647) Prec@1 58.594 (59.802) Prec@5 79.688 (81.378) Epoch: [55][7900/10010] Time 0.327 (0.326) Data 0.001 (0.001) Loss 1.6888 (1.7647) Prec@1 57.812 (59.801) Prec@5 82.031 (81.378) Epoch: [55][7910/10010] Time 0.338 (0.326) Data 0.001 (0.001) Loss 1.6161 (1.7646) Prec@1 64.844 (59.801) Prec@5 80.469 (81.379) Epoch: [55][7920/10010] Time 0.338 (0.326) Data 0.001 (0.001) Loss 1.7943 (1.7646) Prec@1 59.375 (59.801) Prec@5 80.469 (81.380) Epoch: [55][7930/10010] Time 0.339 (0.326) Data 0.001 (0.001) Loss 1.7357 (1.7647) Prec@1 61.719 (59.799) Prec@5 82.812 (81.378) Epoch: [55][7940/10010] Time 0.334 (0.326) Data 0.001 (0.001) Loss 2.0877 (1.7649) Prec@1 50.000 (59.798) Prec@5 78.906 (81.376) Epoch: [55][7950/10010] Time 0.335 (0.326) Data 0.001 (0.001) Loss 1.7244 (1.7649) Prec@1 58.594 (59.796) Prec@5 85.156 (81.376) Epoch: [55][7960/10010] Time 0.322 (0.326) Data 0.001 (0.001) Loss 1.5178 (1.7649) Prec@1 64.062 (59.796) Prec@5 85.156 (81.376) Epoch: [55][7970/10010] Time 0.341 (0.326) Data 0.001 (0.001) Loss 2.0508 (1.7649) Prec@1 59.375 (59.796) Prec@5 75.781 (81.376) Epoch: [55][7980/10010] Time 0.340 (0.326) Data 0.000 (0.001) Loss 1.9010 (1.7648) Prec@1 60.156 (59.798) Prec@5 76.562 (81.376) Epoch: [55][7990/10010] Time 0.315 (0.326) Data 0.001 (0.001) Loss 1.5200 (1.7648) Prec@1 59.375 (59.796) Prec@5 85.156 (81.377) Epoch: [55][8000/10010] Time 0.314 (0.326) Data 0.001 (0.001) Loss 1.6340 (1.7648) Prec@1 64.062 (59.796) Prec@5 81.250 (81.377) Epoch: [55][8010/10010] Time 0.330 (0.326) Data 0.001 (0.001) Loss 1.7184 (1.7647) Prec@1 59.375 (59.798) Prec@5 82.812 (81.379) Epoch: [55][8020/10010] Time 0.321 (0.326) Data 0.000 (0.001) Loss 1.8318 (1.7648) Prec@1 57.812 (59.798) Prec@5 80.469 (81.377) Epoch: [55][8030/10010] Time 0.316 (0.326) Data 0.001 (0.001) Loss 1.8450 (1.7647) Prec@1 63.281 (59.799) Prec@5 78.906 (81.377) Epoch: [55][8040/10010] Time 0.320 (0.326) Data 0.000 (0.001) Loss 1.7548 (1.7648) Prec@1 61.719 (59.797) Prec@5 79.688 (81.375) Epoch: [55][8050/10010] Time 0.320 (0.326) Data 0.000 (0.001) Loss 1.6570 (1.7648) Prec@1 64.062 (59.798) Prec@5 85.156 (81.376) Epoch: [55][8060/10010] Time 0.320 (0.326) Data 0.001 (0.001) Loss 1.9025 (1.7650) Prec@1 55.469 (59.796) Prec@5 78.906 (81.374) Epoch: [55][8070/10010] Time 0.318 (0.326) Data 0.001 (0.001) Loss 1.8377 (1.7650) Prec@1 56.250 (59.797) Prec@5 82.812 (81.375) Epoch: [55][8080/10010] Time 0.313 (0.326) Data 0.001 (0.001) Loss 1.6911 (1.7649) Prec@1 58.594 (59.797) Prec@5 81.250 (81.377) Epoch: [55][8090/10010] Time 0.321 (0.326) Data 0.000 (0.001) Loss 2.1780 (1.7649) Prec@1 53.906 (59.799) Prec@5 76.562 (81.378) Epoch: [55][8100/10010] Time 0.330 (0.326) Data 0.001 (0.001) Loss 1.6262 (1.7649) Prec@1 57.812 (59.799) Prec@5 83.594 (81.377) Epoch: [55][8110/10010] Time 0.326 (0.326) Data 0.001 (0.001) Loss 1.7957 (1.7649) Prec@1 60.156 (59.798) Prec@5 78.906 (81.376) Epoch: [55][8120/10010] Time 0.338 (0.326) Data 0.001 (0.001) Loss 1.7656 (1.7650) Prec@1 58.594 (59.798) Prec@5 81.250 (81.375) Epoch: [55][8130/10010] Time 0.321 (0.326) Data 0.001 (0.001) Loss 1.8310 (1.7650) Prec@1 53.906 (59.796) Prec@5 81.250 (81.376) Epoch: [55][8140/10010] Time 0.319 (0.326) Data 0.001 (0.001) Loss 1.5309 (1.7649) Prec@1 64.844 (59.798) Prec@5 84.375 (81.378) Epoch: [55][8150/10010] Time 0.324 (0.326) Data 0.001 (0.001) Loss 1.9518 (1.7650) Prec@1 53.906 (59.796) Prec@5 76.562 (81.376) Epoch: [55][8160/10010] Time 0.314 (0.326) Data 0.000 (0.001) Loss 1.4031 (1.7648) Prec@1 70.312 (59.799) Prec@5 86.719 (81.378) Epoch: [55][8170/10010] Time 0.330 (0.326) Data 0.001 (0.001) Loss 1.8350 (1.7649) Prec@1 55.469 (59.798) Prec@5 81.250 (81.378) Epoch: [55][8180/10010] Time 0.341 (0.326) Data 0.001 (0.001) Loss 1.5595 (1.7650) Prec@1 63.281 (59.794) Prec@5 85.156 (81.375) Epoch: [55][8190/10010] Time 0.321 (0.326) Data 0.001 (0.001) Loss 2.0284 (1.7650) Prec@1 55.469 (59.793) Prec@5 78.906 (81.374) Epoch: [55][8200/10010] Time 0.334 (0.326) Data 0.001 (0.001) Loss 1.7302 (1.7650) Prec@1 54.688 (59.791) Prec@5 86.719 (81.374) Epoch: [55][8210/10010] Time 0.328 (0.326) Data 0.001 (0.001) Loss 1.8710 (1.7650) Prec@1 61.719 (59.791) Prec@5 76.562 (81.374) Epoch: [55][8220/10010] Time 0.321 (0.326) Data 0.001 (0.001) Loss 1.7805 (1.7651) Prec@1 62.500 (59.791) Prec@5 81.250 (81.372) Epoch: [55][8230/10010] Time 0.338 (0.326) Data 0.001 (0.001) Loss 1.5878 (1.7652) Prec@1 61.719 (59.789) Prec@5 81.250 (81.371) Epoch: [55][8240/10010] Time 0.340 (0.326) Data 0.000 (0.001) Loss 1.5909 (1.7652) Prec@1 60.156 (59.790) Prec@5 85.156 (81.373) Epoch: [55][8250/10010] Time 0.313 (0.326) Data 0.001 (0.001) Loss 1.5388 (1.7652) Prec@1 60.156 (59.789) Prec@5 85.938 (81.372) Epoch: [55][8260/10010] Time 0.312 (0.326) Data 0.001 (0.001) Loss 1.7252 (1.7652) Prec@1 64.844 (59.790) Prec@5 81.250 (81.370) Epoch: [55][8270/10010] Time 0.334 (0.326) Data 0.001 (0.001) Loss 1.9169 (1.7652) Prec@1 58.594 (59.790) Prec@5 76.562 (81.371) Epoch: [55][8280/10010] Time 0.321 (0.326) Data 0.001 (0.001) Loss 1.7208 (1.7651) Prec@1 57.812 (59.790) Prec@5 82.812 (81.372) Epoch: [55][8290/10010] Time 0.342 (0.326) Data 0.001 (0.001) Loss 1.8367 (1.7651) Prec@1 59.375 (59.788) Prec@5 79.688 (81.372) Epoch: [55][8300/10010] Time 0.312 (0.326) Data 0.000 (0.001) Loss 1.6820 (1.7652) Prec@1 60.156 (59.785) Prec@5 85.156 (81.372) Epoch: [55][8310/10010] Time 0.319 (0.326) Data 0.001 (0.001) Loss 1.8554 (1.7653) Prec@1 61.719 (59.784) Prec@5 77.344 (81.369) Epoch: [55][8320/10010] Time 0.334 (0.326) Data 0.001 (0.001) Loss 1.6766 (1.7653) Prec@1 56.250 (59.783) Prec@5 82.812 (81.368) Epoch: [55][8330/10010] Time 0.326 (0.326) Data 0.001 (0.001) Loss 1.8650 (1.7654) Prec@1 60.156 (59.781) Prec@5 77.344 (81.368) Epoch: [55][8340/10010] Time 0.324 (0.326) Data 0.001 (0.001) Loss 2.0344 (1.7654) Prec@1 59.375 (59.783) Prec@5 77.344 (81.369) Epoch: [55][8350/10010] Time 0.320 (0.326) Data 0.000 (0.001) Loss 1.7478 (1.7655) Prec@1 59.375 (59.781) Prec@5 81.250 (81.368) Epoch: [55][8360/10010] Time 0.323 (0.326) Data 0.001 (0.001) Loss 1.5849 (1.7655) Prec@1 58.594 (59.782) Prec@5 84.375 (81.368) Epoch: [55][8370/10010] Time 0.321 (0.326) Data 0.000 (0.001) Loss 1.8998 (1.7656) Prec@1 53.125 (59.780) Prec@5 78.906 (81.366) Epoch: [55][8380/10010] Time 0.328 (0.326) Data 0.001 (0.001) Loss 1.9959 (1.7656) Prec@1 54.688 (59.778) Prec@5 80.469 (81.366) Epoch: [55][8390/10010] Time 0.311 (0.326) Data 0.001 (0.001) Loss 1.8061 (1.7656) Prec@1 57.031 (59.777) Prec@5 79.688 (81.366) Epoch: [55][8400/10010] Time 0.340 (0.326) Data 0.000 (0.001) Loss 1.7214 (1.7657) Prec@1 60.938 (59.775) Prec@5 78.906 (81.365) Epoch: [55][8410/10010] Time 0.312 (0.326) Data 0.000 (0.001) Loss 2.0145 (1.7657) Prec@1 55.469 (59.774) Prec@5 78.906 (81.366) Epoch: [55][8420/10010] Time 0.339 (0.326) Data 0.001 (0.001) Loss 1.5861 (1.7656) Prec@1 64.062 (59.774) Prec@5 80.469 (81.366) Epoch: [55][8430/10010] Time 0.337 (0.326) Data 0.001 (0.001) Loss 2.0293 (1.7657) Prec@1 57.031 (59.775) Prec@5 75.000 (81.364) Epoch: [55][8440/10010] Time 0.314 (0.326) Data 0.001 (0.001) Loss 1.7198 (1.7657) Prec@1 59.375 (59.773) Prec@5 83.594 (81.366) Epoch: [55][8450/10010] Time 0.329 (0.326) Data 0.001 (0.001) Loss 1.5337 (1.7657) Prec@1 62.500 (59.771) Prec@5 84.375 (81.364) Epoch: [55][8460/10010] Time 0.330 (0.326) Data 0.000 (0.001) Loss 1.6060 (1.7657) Prec@1 65.625 (59.772) Prec@5 83.594 (81.364) Epoch: [55][8470/10010] Time 0.335 (0.326) Data 0.000 (0.001) Loss 1.4131 (1.7658) Prec@1 61.719 (59.768) Prec@5 83.594 (81.363) Epoch: [55][8480/10010] Time 0.332 (0.326) Data 0.001 (0.001) Loss 1.5233 (1.7657) Prec@1 61.719 (59.768) Prec@5 82.812 (81.364) Epoch: [55][8490/10010] Time 0.342 (0.326) Data 0.001 (0.001) Loss 1.6929 (1.7658) Prec@1 60.938 (59.767) Prec@5 80.469 (81.361) Epoch: [55][8500/10010] Time 0.313 (0.326) Data 0.000 (0.001) Loss 1.7286 (1.7658) Prec@1 60.938 (59.767) Prec@5 79.688 (81.362) Epoch: [55][8510/10010] Time 0.321 (0.326) Data 0.000 (0.001) Loss 1.5710 (1.7659) Prec@1 65.625 (59.765) Prec@5 83.594 (81.360) Epoch: [55][8520/10010] Time 0.317 (0.326) Data 0.001 (0.001) Loss 1.7842 (1.7659) Prec@1 63.281 (59.767) Prec@5 81.250 (81.360) Epoch: [55][8530/10010] Time 0.333 (0.326) Data 0.001 (0.001) Loss 1.6224 (1.7660) Prec@1 64.062 (59.766) Prec@5 83.594 (81.359) Epoch: [55][8540/10010] Time 0.318 (0.326) Data 0.000 (0.001) Loss 1.7526 (1.7661) Prec@1 63.281 (59.766) Prec@5 84.375 (81.359) Epoch: [55][8550/10010] Time 0.313 (0.326) Data 0.000 (0.001) Loss 1.5177 (1.7661) Prec@1 64.062 (59.767) Prec@5 87.500 (81.359) Epoch: [55][8560/10010] Time 0.312 (0.326) Data 0.001 (0.001) Loss 1.7684 (1.7662) Prec@1 63.281 (59.767) Prec@5 78.906 (81.359) Epoch: [55][8570/10010] Time 0.326 (0.326) Data 0.001 (0.001) Loss 1.7062 (1.7661) Prec@1 58.594 (59.767) Prec@5 82.812 (81.361) Epoch: [55][8580/10010] Time 0.339 (0.326) Data 0.000 (0.001) Loss 1.9394 (1.7661) Prec@1 53.906 (59.766) Prec@5 78.906 (81.362) Epoch: [55][8590/10010] Time 0.314 (0.326) Data 0.000 (0.001) Loss 1.9655 (1.7663) Prec@1 57.031 (59.762) Prec@5 75.781 (81.360) Epoch: [55][8600/10010] Time 0.313 (0.326) Data 0.001 (0.001) Loss 1.5102 (1.7663) Prec@1 62.500 (59.759) Prec@5 84.375 (81.360) Epoch: [55][8610/10010] Time 0.329 (0.326) Data 0.001 (0.001) Loss 1.6892 (1.7663) Prec@1 61.719 (59.758) Prec@5 79.688 (81.359) Epoch: [55][8620/10010] Time 0.326 (0.326) Data 0.000 (0.001) Loss 1.7669 (1.7663) Prec@1 57.812 (59.758) Prec@5 84.375 (81.361) Epoch: [55][8630/10010] Time 0.342 (0.326) Data 0.000 (0.001) Loss 1.9337 (1.7663) Prec@1 56.250 (59.756) Prec@5 75.000 (81.360) Epoch: [55][8640/10010] Time 0.323 (0.326) Data 0.001 (0.001) Loss 1.6622 (1.7664) Prec@1 57.031 (59.753) Prec@5 83.594 (81.359) Epoch: [55][8650/10010] Time 0.335 (0.326) Data 0.000 (0.001) Loss 1.8021 (1.7663) Prec@1 66.406 (59.756) Prec@5 85.156 (81.361) Epoch: [55][8660/10010] Time 0.330 (0.326) Data 0.001 (0.001) Loss 1.9055 (1.7664) Prec@1 60.938 (59.755) Prec@5 78.906 (81.360) Epoch: [55][8670/10010] Time 0.314 (0.326) Data 0.000 (0.001) Loss 1.8463 (1.7664) Prec@1 57.812 (59.753) Prec@5 83.594 (81.361) Epoch: [55][8680/10010] Time 0.320 (0.326) Data 0.001 (0.001) Loss 1.7827 (1.7664) Prec@1 57.031 (59.750) Prec@5 82.812 (81.362) Epoch: [55][8690/10010] Time 0.327 (0.326) Data 0.001 (0.001) Loss 1.8334 (1.7664) Prec@1 56.250 (59.749) Prec@5 80.469 (81.362) Epoch: [55][8700/10010] Time 0.327 (0.326) Data 0.001 (0.001) Loss 1.6600 (1.7663) Prec@1 57.031 (59.751) Prec@5 83.594 (81.363) Epoch: [55][8710/10010] Time 0.316 (0.326) Data 0.000 (0.001) Loss 1.7520 (1.7662) Prec@1 57.812 (59.755) Prec@5 79.688 (81.362) Epoch: [55][8720/10010] Time 0.317 (0.326) Data 0.000 (0.001) Loss 1.8374 (1.7663) Prec@1 60.156 (59.755) Prec@5 81.250 (81.361) Epoch: [55][8730/10010] Time 0.337 (0.326) Data 0.000 (0.001) Loss 1.8286 (1.7664) Prec@1 60.938 (59.757) Prec@5 80.469 (81.358) Epoch: [55][8740/10010] Time 0.334 (0.326) Data 0.000 (0.001) Loss 1.9586 (1.7664) Prec@1 59.375 (59.754) Prec@5 72.656 (81.356) Epoch: [55][8750/10010] Time 0.317 (0.326) Data 0.001 (0.001) Loss 1.8381 (1.7664) Prec@1 61.719 (59.755) Prec@5 81.250 (81.357) Epoch: [55][8760/10010] Time 0.335 (0.326) Data 0.001 (0.001) Loss 2.1668 (1.7665) Prec@1 53.125 (59.753) Prec@5 76.562 (81.356) Epoch: [55][8770/10010] Time 0.319 (0.326) Data 0.001 (0.001) Loss 1.6571 (1.7665) Prec@1 57.812 (59.751) Prec@5 83.594 (81.356) Epoch: [55][8780/10010] Time 0.320 (0.326) Data 0.001 (0.001) Loss 1.6735 (1.7666) Prec@1 60.938 (59.751) Prec@5 81.250 (81.356) Epoch: [55][8790/10010] Time 0.341 (0.326) Data 0.000 (0.001) Loss 1.6543 (1.7665) Prec@1 64.062 (59.752) Prec@5 84.375 (81.356) Epoch: [55][8800/10010] Time 0.339 (0.326) Data 0.000 (0.001) Loss 1.9367 (1.7666) Prec@1 52.344 (59.749) Prec@5 80.469 (81.354) Epoch: [55][8810/10010] Time 0.342 (0.326) Data 0.000 (0.001) Loss 1.6196 (1.7665) Prec@1 59.375 (59.751) Prec@5 84.375 (81.356) Epoch: [55][8820/10010] Time 0.330 (0.326) Data 0.001 (0.001) Loss 1.7214 (1.7665) Prec@1 64.062 (59.754) Prec@5 80.469 (81.355) Epoch: [55][8830/10010] Time 0.316 (0.326) Data 0.000 (0.001) Loss 1.9314 (1.7666) Prec@1 51.562 (59.751) Prec@5 82.812 (81.355) Epoch: [55][8840/10010] Time 0.317 (0.326) Data 0.000 (0.001) Loss 1.9384 (1.7666) Prec@1 53.125 (59.752) Prec@5 76.562 (81.355) Epoch: [55][8850/10010] Time 0.327 (0.326) Data 0.001 (0.001) Loss 1.8543 (1.7666) Prec@1 56.250 (59.753) Prec@5 82.031 (81.355) Epoch: [55][8860/10010] Time 0.314 (0.326) Data 0.001 (0.001) Loss 1.5605 (1.7666) Prec@1 62.500 (59.754) Prec@5 85.156 (81.355) Epoch: [55][8870/10010] Time 0.317 (0.326) Data 0.000 (0.001) Loss 2.0548 (1.7665) Prec@1 54.688 (59.753) Prec@5 78.125 (81.355) Epoch: [55][8880/10010] Time 0.330 (0.326) Data 0.000 (0.001) Loss 1.9432 (1.7665) Prec@1 57.812 (59.754) Prec@5 78.906 (81.357) Epoch: [55][8890/10010] Time 0.322 (0.326) Data 0.001 (0.001) Loss 1.8195 (1.7666) Prec@1 57.031 (59.753) Prec@5 82.031 (81.356) Epoch: [55][8900/10010] Time 0.315 (0.326) Data 0.001 (0.001) Loss 1.8944 (1.7666) Prec@1 52.344 (59.753) Prec@5 79.688 (81.356) Epoch: [55][8910/10010] Time 0.318 (0.326) Data 0.001 (0.001) Loss 1.7968 (1.7666) Prec@1 62.500 (59.754) Prec@5 78.906 (81.355) Epoch: [55][8920/10010] Time 0.319 (0.326) Data 0.001 (0.001) Loss 1.9395 (1.7667) Prec@1 61.719 (59.755) Prec@5 79.688 (81.354) Epoch: [55][8930/10010] Time 0.343 (0.326) Data 0.001 (0.001) Loss 1.9027 (1.7667) Prec@1 57.812 (59.756) Prec@5 79.688 (81.354) Epoch: [55][8940/10010] Time 0.338 (0.326) Data 0.001 (0.001) Loss 1.9325 (1.7667) Prec@1 57.812 (59.755) Prec@5 77.344 (81.353) Epoch: [55][8950/10010] Time 0.338 (0.326) Data 0.000 (0.001) Loss 1.5663 (1.7667) Prec@1 65.625 (59.754) Prec@5 83.594 (81.355) Epoch: [55][8960/10010] Time 0.330 (0.326) Data 0.001 (0.001) Loss 2.1003 (1.7668) Prec@1 51.562 (59.752) Prec@5 77.344 (81.352) Epoch: [55][8970/10010] Time 0.335 (0.326) Data 0.001 (0.001) Loss 1.7186 (1.7667) Prec@1 62.500 (59.753) Prec@5 78.906 (81.352) Epoch: [55][8980/10010] Time 0.330 (0.326) Data 0.001 (0.001) Loss 1.8290 (1.7667) Prec@1 58.594 (59.755) Prec@5 82.812 (81.352) Epoch: [55][8990/10010] Time 0.338 (0.326) Data 0.001 (0.001) Loss 2.0823 (1.7666) Prec@1 50.000 (59.756) Prec@5 77.344 (81.352) Epoch: [55][9000/10010] Time 0.319 (0.326) Data 0.001 (0.001) Loss 1.5841 (1.7666) Prec@1 64.844 (59.756) Prec@5 85.156 (81.353) Epoch: [55][9010/10010] Time 0.344 (0.326) Data 0.001 (0.001) Loss 2.2074 (1.7667) Prec@1 53.125 (59.754) Prec@5 76.562 (81.352) Epoch: [55][9020/10010] Time 0.336 (0.326) Data 0.001 (0.001) Loss 1.4902 (1.7665) Prec@1 63.281 (59.756) Prec@5 85.156 (81.354) Epoch: [55][9030/10010] Time 0.333 (0.326) Data 0.001 (0.001) Loss 1.4478 (1.7664) Prec@1 68.750 (59.758) Prec@5 86.719 (81.356) Epoch: [55][9040/10010] Time 0.339 (0.326) Data 0.001 (0.001) Loss 1.5501 (1.7665) Prec@1 64.844 (59.755) Prec@5 87.500 (81.355) Epoch: [55][9050/10010] Time 0.333 (0.326) Data 0.000 (0.001) Loss 1.8097 (1.7665) Prec@1 59.375 (59.752) Prec@5 78.906 (81.354) Epoch: [55][9060/10010] Time 0.339 (0.326) Data 0.001 (0.001) Loss 1.8573 (1.7665) Prec@1 54.688 (59.752) Prec@5 82.812 (81.355) Epoch: [55][9070/10010] Time 0.334 (0.326) Data 0.001 (0.001) Loss 1.9760 (1.7667) Prec@1 55.469 (59.749) Prec@5 78.906 (81.353) Epoch: [55][9080/10010] Time 0.321 (0.326) Data 0.001 (0.001) Loss 1.4073 (1.7666) Prec@1 67.188 (59.750) Prec@5 85.938 (81.354) Epoch: [55][9090/10010] Time 0.340 (0.326) Data 0.001 (0.001) Loss 1.5545 (1.7667) Prec@1 64.844 (59.746) Prec@5 85.156 (81.353) Epoch: [55][9100/10010] Time 0.334 (0.326) Data 0.001 (0.001) Loss 1.6658 (1.7666) Prec@1 60.156 (59.747) Prec@5 81.250 (81.354) Epoch: [55][9110/10010] Time 0.316 (0.326) Data 0.001 (0.001) Loss 1.8898 (1.7666) Prec@1 50.781 (59.746) Prec@5 78.906 (81.355) Epoch: [55][9120/10010] Time 0.339 (0.326) Data 0.001 (0.001) Loss 1.4929 (1.7666) Prec@1 67.188 (59.746) Prec@5 85.156 (81.353) Epoch: [55][9130/10010] Time 0.312 (0.326) Data 0.001 (0.001) Loss 2.1645 (1.7667) Prec@1 54.688 (59.745) Prec@5 77.344 (81.352) Epoch: [55][9140/10010] Time 0.315 (0.326) Data 0.001 (0.001) Loss 1.8555 (1.7667) Prec@1 58.594 (59.744) Prec@5 79.688 (81.352) Epoch: [55][9150/10010] Time 0.338 (0.326) Data 0.001 (0.001) Loss 1.7051 (1.7667) Prec@1 64.844 (59.744) Prec@5 83.594 (81.352) Epoch: [55][9160/10010] Time 0.330 (0.326) Data 0.000 (0.001) Loss 1.9933 (1.7668) Prec@1 55.469 (59.743) Prec@5 77.344 (81.350) Epoch: [55][9170/10010] Time 0.339 (0.326) Data 0.000 (0.001) Loss 1.5526 (1.7668) Prec@1 64.844 (59.742) Prec@5 86.719 (81.349) Epoch: [55][9180/10010] Time 0.313 (0.326) Data 0.001 (0.001) Loss 1.4962 (1.7669) Prec@1 64.062 (59.740) Prec@5 87.500 (81.348) Epoch: [55][9190/10010] Time 0.332 (0.326) Data 0.000 (0.001) Loss 2.0586 (1.7668) Prec@1 54.688 (59.742) Prec@5 77.344 (81.350) Epoch: [55][9200/10010] Time 0.321 (0.326) Data 0.001 (0.001) Loss 1.7510 (1.7668) Prec@1 62.500 (59.740) Prec@5 83.594 (81.349) Epoch: [55][9210/10010] Time 0.334 (0.326) Data 0.001 (0.001) Loss 1.9633 (1.7669) Prec@1 55.469 (59.738) Prec@5 78.906 (81.348) Epoch: [55][9220/10010] Time 0.319 (0.326) Data 0.001 (0.001) Loss 1.5312 (1.7670) Prec@1 66.406 (59.737) Prec@5 84.375 (81.346) Epoch: [55][9230/10010] Time 0.329 (0.326) Data 0.001 (0.001) Loss 1.7278 (1.7669) Prec@1 60.938 (59.739) Prec@5 82.031 (81.348) Epoch: [55][9240/10010] Time 0.330 (0.326) Data 0.001 (0.001) Loss 1.5316 (1.7670) Prec@1 61.719 (59.738) Prec@5 85.156 (81.346) Epoch: [55][9250/10010] Time 0.315 (0.326) Data 0.001 (0.001) Loss 1.9889 (1.7671) Prec@1 59.375 (59.736) Prec@5 78.125 (81.345) Epoch: [55][9260/10010] Time 0.338 (0.326) Data 0.001 (0.001) Loss 1.7056 (1.7671) Prec@1 57.812 (59.736) Prec@5 80.469 (81.345) Epoch: [55][9270/10010] Time 0.323 (0.326) Data 0.000 (0.001) Loss 1.8493 (1.7670) Prec@1 64.062 (59.736) Prec@5 78.906 (81.345) Epoch: [55][9280/10010] Time 0.325 (0.326) Data 0.000 (0.001) Loss 1.4671 (1.7670) Prec@1 65.625 (59.736) Prec@5 83.594 (81.345) Epoch: [55][9290/10010] Time 0.314 (0.326) Data 0.001 (0.001) Loss 1.5910 (1.7671) Prec@1 64.844 (59.733) Prec@5 84.375 (81.344) Epoch: [55][9300/10010] Time 0.336 (0.326) Data 0.001 (0.001) Loss 1.9356 (1.7672) Prec@1 59.375 (59.730) Prec@5 82.812 (81.343) Epoch: [55][9310/10010] Time 0.337 (0.326) Data 0.001 (0.001) Loss 1.8407 (1.7671) Prec@1 50.781 (59.730) Prec@5 83.594 (81.346) Epoch: [55][9320/10010] Time 0.321 (0.326) Data 0.001 (0.001) Loss 1.7918 (1.7672) Prec@1 62.500 (59.729) Prec@5 78.125 (81.345) Epoch: [55][9330/10010] Time 0.329 (0.326) Data 0.001 (0.001) Loss 1.9631 (1.7672) Prec@1 52.344 (59.727) Prec@5 78.906 (81.345) Epoch: [55][9340/10010] Time 0.325 (0.326) Data 0.001 (0.001) Loss 2.1465 (1.7672) Prec@1 51.562 (59.726) Prec@5 73.438 (81.345) Epoch: [55][9350/10010] Time 0.326 (0.326) Data 0.000 (0.001) Loss 1.8481 (1.7672) Prec@1 60.938 (59.727) Prec@5 78.906 (81.344) Epoch: [55][9360/10010] Time 0.310 (0.326) Data 0.001 (0.001) Loss 1.7464 (1.7673) Prec@1 57.812 (59.725) Prec@5 81.250 (81.342) Epoch: [55][9370/10010] Time 0.320 (0.326) Data 0.001 (0.001) Loss 1.9250 (1.7674) Prec@1 59.375 (59.727) Prec@5 77.344 (81.343) Epoch: [55][9380/10010] Time 0.336 (0.326) Data 0.001 (0.001) Loss 2.0605 (1.7674) Prec@1 53.125 (59.726) Prec@5 80.469 (81.343) Epoch: [55][9390/10010] Time 0.318 (0.326) Data 0.001 (0.001) Loss 1.4542 (1.7674) Prec@1 62.500 (59.725) Prec@5 84.375 (81.342) Epoch: [55][9400/10010] Time 0.321 (0.326) Data 0.001 (0.001) Loss 1.7845 (1.7673) Prec@1 60.156 (59.728) Prec@5 78.125 (81.343) Epoch: [55][9410/10010] Time 0.321 (0.326) Data 0.000 (0.001) Loss 1.4929 (1.7674) Prec@1 61.719 (59.725) Prec@5 86.719 (81.343) Epoch: [55][9420/10010] Time 0.335 (0.326) Data 0.001 (0.001) Loss 1.6753 (1.7674) Prec@1 61.719 (59.723) Prec@5 84.375 (81.343) Epoch: [55][9430/10010] Time 0.331 (0.326) Data 0.000 (0.001) Loss 1.9385 (1.7675) Prec@1 57.031 (59.722) Prec@5 78.906 (81.342) Epoch: [55][9440/10010] Time 0.328 (0.326) Data 0.001 (0.001) Loss 2.1200 (1.7675) Prec@1 51.562 (59.718) Prec@5 75.781 (81.341) Epoch: [55][9450/10010] Time 0.327 (0.326) Data 0.001 (0.001) Loss 1.8463 (1.7677) Prec@1 62.500 (59.717) Prec@5 79.688 (81.338) Epoch: [55][9460/10010] Time 0.334 (0.326) Data 0.000 (0.001) Loss 1.6833 (1.7676) Prec@1 64.062 (59.717) Prec@5 81.250 (81.339) Epoch: [55][9470/10010] Time 0.314 (0.326) Data 0.001 (0.001) Loss 1.6902 (1.7678) Prec@1 64.062 (59.715) Prec@5 81.250 (81.336) Epoch: [55][9480/10010] Time 0.316 (0.326) Data 0.001 (0.001) Loss 1.5297 (1.7678) Prec@1 61.719 (59.714) Prec@5 86.719 (81.336) Epoch: [55][9490/10010] Time 0.317 (0.326) Data 0.001 (0.001) Loss 1.6259 (1.7678) Prec@1 63.281 (59.713) Prec@5 82.031 (81.335) Epoch: [55][9500/10010] Time 0.324 (0.326) Data 0.001 (0.001) Loss 1.6134 (1.7678) Prec@1 65.625 (59.716) Prec@5 85.156 (81.337) Epoch: [55][9510/10010] Time 0.314 (0.326) Data 0.001 (0.001) Loss 1.7501 (1.7678) Prec@1 64.062 (59.715) Prec@5 82.812 (81.336) Epoch: [55][9520/10010] Time 0.325 (0.326) Data 0.001 (0.001) Loss 1.6893 (1.7677) Prec@1 60.156 (59.716) Prec@5 83.594 (81.337) Epoch: [55][9530/10010] Time 0.330 (0.326) Data 0.001 (0.001) Loss 1.5248 (1.7677) Prec@1 63.281 (59.715) Prec@5 79.688 (81.337) Epoch: [55][9540/10010] Time 0.331 (0.326) Data 0.001 (0.001) Loss 1.5214 (1.7678) Prec@1 65.625 (59.714) Prec@5 85.156 (81.337) Epoch: [55][9550/10010] Time 0.312 (0.326) Data 0.001 (0.001) Loss 1.8353 (1.7677) Prec@1 57.812 (59.716) Prec@5 81.250 (81.339) Epoch: [55][9560/10010] Time 0.338 (0.326) Data 0.001 (0.001) Loss 2.1302 (1.7678) Prec@1 60.156 (59.714) Prec@5 75.000 (81.336) Epoch: [55][9570/10010] Time 0.342 (0.326) Data 0.001 (0.001) Loss 1.8854 (1.7679) Prec@1 60.938 (59.713) Prec@5 78.906 (81.335) Epoch: [55][9580/10010] Time 0.323 (0.326) Data 0.000 (0.001) Loss 1.8454 (1.7680) Prec@1 60.156 (59.713) Prec@5 78.906 (81.334) Epoch: [55][9590/10010] Time 0.348 (0.326) Data 0.001 (0.001) Loss 1.7790 (1.7680) Prec@1 64.062 (59.712) Prec@5 80.469 (81.333) Epoch: [55][9600/10010] Time 0.320 (0.326) Data 0.001 (0.001) Loss 1.8237 (1.7681) Prec@1 57.812 (59.711) Prec@5 79.688 (81.330) Epoch: [55][9610/10010] Time 0.323 (0.326) Data 0.001 (0.001) Loss 1.8760 (1.7681) Prec@1 55.469 (59.712) Prec@5 85.156 (81.330) Epoch: [55][9620/10010] Time 0.316 (0.326) Data 0.001 (0.001) Loss 1.7170 (1.7682) Prec@1 64.062 (59.711) Prec@5 82.031 (81.329) Epoch: [55][9630/10010] Time 0.320 (0.326) Data 0.001 (0.001) Loss 1.8745 (1.7682) Prec@1 58.594 (59.709) Prec@5 78.906 (81.328) Epoch: [55][9640/10010] Time 0.328 (0.326) Data 0.001 (0.001) Loss 1.9265 (1.7683) Prec@1 59.375 (59.707) Prec@5 75.781 (81.327) Epoch: [55][9650/10010] Time 0.336 (0.326) Data 0.001 (0.001) Loss 1.7185 (1.7683) Prec@1 60.156 (59.707) Prec@5 79.688 (81.326) Epoch: [55][9660/10010] Time 0.331 (0.326) Data 0.001 (0.001) Loss 2.0237 (1.7684) Prec@1 57.812 (59.705) Prec@5 76.562 (81.325) Epoch: [55][9670/10010] Time 0.322 (0.326) Data 0.001 (0.001) Loss 1.7311 (1.7684) Prec@1 60.938 (59.705) Prec@5 83.594 (81.327) Epoch: [55][9680/10010] Time 0.320 (0.326) Data 0.000 (0.001) Loss 1.5619 (1.7684) Prec@1 63.281 (59.705) Prec@5 82.812 (81.327) Epoch: [55][9690/10010] Time 0.336 (0.326) Data 0.001 (0.001) Loss 1.6206 (1.7684) Prec@1 64.062 (59.704) Prec@5 82.031 (81.326) Epoch: [55][9700/10010] Time 0.315 (0.326) Data 0.001 (0.001) Loss 1.8523 (1.7685) Prec@1 57.031 (59.702) Prec@5 82.031 (81.326) Epoch: [55][9710/10010] Time 0.321 (0.326) Data 0.000 (0.001) Loss 1.5845 (1.7684) Prec@1 58.594 (59.702) Prec@5 86.719 (81.327) Epoch: [55][9720/10010] Time 0.310 (0.326) Data 0.001 (0.001) Loss 1.9932 (1.7684) Prec@1 57.812 (59.704) Prec@5 81.250 (81.327) Epoch: [55][9730/10010] Time 0.329 (0.326) Data 0.000 (0.001) Loss 1.7022 (1.7685) Prec@1 59.375 (59.703) Prec@5 85.938 (81.327) Epoch: [55][9740/10010] Time 0.328 (0.326) Data 0.001 (0.001) Loss 1.7255 (1.7685) Prec@1 61.719 (59.702) Prec@5 83.594 (81.326) Epoch: [55][9750/10010] Time 0.322 (0.326) Data 0.001 (0.001) Loss 2.1345 (1.7686) Prec@1 49.219 (59.701) Prec@5 78.906 (81.325) Epoch: [55][9760/10010] Time 0.324 (0.326) Data 0.001 (0.001) Loss 1.6569 (1.7685) Prec@1 63.281 (59.701) Prec@5 81.250 (81.327) Epoch: [55][9770/10010] Time 0.335 (0.326) Data 0.001 (0.001) Loss 1.9161 (1.7685) Prec@1 58.594 (59.700) Prec@5 82.812 (81.327) Epoch: [55][9780/10010] Time 0.332 (0.326) Data 0.000 (0.001) Loss 1.8135 (1.7685) Prec@1 64.844 (59.703) Prec@5 82.031 (81.327) Epoch: [55][9790/10010] Time 0.336 (0.326) Data 0.002 (0.001) Loss 1.8225 (1.7685) Prec@1 56.250 (59.702) Prec@5 82.812 (81.327) Epoch: [55][9800/10010] Time 0.321 (0.326) Data 0.000 (0.001) Loss 2.3529 (1.7687) Prec@1 53.125 (59.698) Prec@5 71.875 (81.323) Epoch: [55][9810/10010] Time 0.314 (0.326) Data 0.001 (0.001) Loss 1.8306 (1.7687) Prec@1 54.688 (59.699) Prec@5 84.375 (81.326) Epoch: [55][9820/10010] Time 0.340 (0.326) Data 0.000 (0.001) Loss 1.8582 (1.7687) Prec@1 55.469 (59.696) Prec@5 81.250 (81.324) Epoch: [55][9830/10010] Time 0.324 (0.326) Data 0.001 (0.001) Loss 1.8553 (1.7687) Prec@1 60.156 (59.695) Prec@5 78.125 (81.325) Epoch: [55][9840/10010] Time 0.304 (0.326) Data 0.001 (0.001) Loss 1.9256 (1.7688) Prec@1 59.375 (59.695) Prec@5 81.250 (81.325) Epoch: [55][9850/10010] Time 0.318 (0.326) Data 0.001 (0.001) Loss 1.9256 (1.7688) Prec@1 55.469 (59.694) Prec@5 78.125 (81.324) Epoch: [55][9860/10010] Time 0.326 (0.326) Data 0.000 (0.001) Loss 1.6395 (1.7689) Prec@1 61.719 (59.691) Prec@5 81.250 (81.323) Epoch: [55][9870/10010] Time 0.315 (0.326) Data 0.001 (0.001) Loss 1.5819 (1.7689) Prec@1 57.812 (59.687) Prec@5 89.062 (81.323) Epoch: [55][9880/10010] Time 0.334 (0.326) Data 0.000 (0.001) Loss 1.9417 (1.7690) Prec@1 60.938 (59.687) Prec@5 79.688 (81.322) /data/vision/torralba/deepscene/lib/anaconda2/lib/python2.7/site-packages/PIL/TiffImagePlugin.py:692: UserWarning: Possibly corrupt EXIF data. Expecting to read 2555904 bytes but only got 0. Skipping tag 0 "Skipping tag %s" % (size, len(data), tag)) Epoch: [55][9890/10010] Time 0.328 (0.326) Data 0.001 (0.001) Loss 2.0065 (1.7690) Prec@1 53.125 (59.685) Prec@5 83.594 (81.322) Epoch: [55][9900/10010] Time 0.311 (0.326) Data 0.001 (0.001) Loss 1.4682 (1.7690) Prec@1 62.500 (59.686) Prec@5 83.594 (81.322) Epoch: [55][9910/10010] Time 0.339 (0.326) Data 0.001 (0.001) Loss 1.9831 (1.7691) Prec@1 50.781 (59.686) Prec@5 78.906 (81.321) Epoch: [55][9920/10010] Time 0.341 (0.326) Data 0.000 (0.001) Loss 1.8929 (1.7691) Prec@1 54.688 (59.687) Prec@5 80.469 (81.321) Epoch: [55][9930/10010] Time 0.332 (0.326) Data 0.001 (0.001) Loss 1.7140 (1.7691) Prec@1 64.062 (59.687) Prec@5 80.469 (81.321) Epoch: [55][9940/10010] Time 0.329 (0.326) Data 0.001 (0.001) Loss 1.5714 (1.7691) Prec@1 64.062 (59.687) Prec@5 83.594 (81.321) Epoch: [55][9950/10010] Time 0.333 (0.326) Data 0.001 (0.001) Loss 1.7196 (1.7690) Prec@1 61.719 (59.688) Prec@5 82.031 (81.322) Epoch: [55][9960/10010] Time 0.330 (0.326) Data 0.001 (0.001) Loss 2.1176 (1.7690) Prec@1 50.781 (59.688) Prec@5 78.906 (81.323) Epoch: [55][9970/10010] Time 0.331 (0.326) Data 0.000 (0.001) Loss 2.0277 (1.7691) Prec@1 55.469 (59.684) Prec@5 75.000 (81.322) Epoch: [55][9980/10010] Time 0.318 (0.326) Data 0.001 (0.001) Loss 1.8304 (1.7691) Prec@1 53.906 (59.683) Prec@5 78.125 (81.321) Epoch: [55][9990/10010] Time 0.316 (0.326) Data 0.001 (0.001) Loss 1.8860 (1.7692) Prec@1 53.125 (59.682) Prec@5 82.812 (81.320) Epoch: [55][10000/10010] Time 0.333 (0.326) Data 0.000 (0.001) Loss 1.5116 (1.7693) Prec@1 65.625 (59.682) Prec@5 86.719 (81.319) Test: [0/391] Time 1.255 (1.255) Loss 0.9710 (0.9710) Prec@1 81.250 (81.250) Prec@5 87.500 (87.500) Test: [10/391] Time 0.106 (0.213) Loss 1.6109 (0.9127) Prec@1 65.625 (78.409) Prec@5 84.375 (91.832) Test: [20/391] Time 0.118 (0.172) Loss 1.3299 (1.1664) Prec@1 67.969 (71.391) Prec@5 85.938 (89.211) Test: [30/391] Time 0.103 (0.156) Loss 1.6584 (1.2854) Prec@1 71.094 (67.994) Prec@5 85.156 (88.836) Test: [40/391] Time 0.100 (0.143) Loss 1.4242 (1.1739) Prec@1 71.094 (71.170) Prec@5 85.156 (89.577) Test: [50/391] Time 0.103 (0.138) Loss 0.6448 (1.2059) Prec@1 83.594 (70.818) Prec@5 96.094 (89.400) Test: [60/391] Time 0.104 (0.132) Loss 1.1226 (1.1450) Prec@1 71.094 (72.208) Prec@5 92.188 (90.023) Test: [70/391] Time 0.102 (0.128) Loss 1.4339 (1.1738) Prec@1 64.062 (71.083) Prec@5 89.844 (90.163) Test: [80/391] Time 0.103 (0.125) Loss 1.2886 (1.1913) Prec@1 65.625 (70.042) Prec@5 91.406 (90.249) Test: [90/391] Time 0.112 (0.123) Loss 1.5115 (1.2150) Prec@1 50.000 (69.574) Prec@5 92.188 (90.024) Test: [100/391] Time 0.111 (0.122) Loss 1.1992 (1.2082) Prec@1 63.281 (69.307) Prec@5 93.750 (90.261) Test: [110/391] Time 0.107 (0.121) Loss 1.5805 (1.2108) Prec@1 46.875 (69.032) Prec@5 87.500 (90.365) Test: [120/391] Time 0.107 (0.120) Loss 1.2316 (1.2057) Prec@1 70.312 (69.267) Prec@5 89.062 (90.438) Test: [130/391] Time 0.107 (0.119) Loss 0.6557 (1.1946) Prec@1 83.594 (69.639) Prec@5 96.094 (90.607) Test: [140/391] Time 0.161 (0.118) Loss 1.5279 (1.1945) Prec@1 57.812 (69.642) Prec@5 89.062 (90.636) Test: [150/391] Time 0.103 (0.117) Loss 1.4109 (1.1954) Prec@1 53.906 (69.676) Prec@5 90.625 (90.599) Test: [160/391] Time 0.110 (0.117) Loss 1.4178 (1.1995) Prec@1 59.375 (69.585) Prec@5 88.281 (90.576) Test: [170/391] Time 0.104 (0.116) Loss 1.8550 (1.2333) Prec@1 53.125 (68.910) Prec@5 85.156 (90.118) Test: [180/391] Time 0.104 (0.115) Loss 2.2892 (1.2718) Prec@1 44.531 (68.055) Prec@5 82.031 (89.580) Test: [190/391] Time 0.102 (0.115) Loss 2.2752 (1.3043) Prec@1 56.250 (67.466) Prec@5 78.906 (89.173) Test: [200/391] Time 0.102 (0.115) Loss 1.5408 (1.3332) Prec@1 56.250 (66.931) Prec@5 85.156 (88.744) Test: [210/391] Time 0.099 (0.114) Loss 1.7082 (1.3520) Prec@1 63.281 (66.602) Prec@5 84.375 (88.552) Test: [220/391] Time 0.103 (0.113) Loss 1.1030 (1.3640) Prec@1 73.438 (66.396) Prec@5 89.062 (88.267) Test: [230/391] Time 0.112 (0.113) Loss 2.7019 (1.3830) Prec@1 39.844 (66.102) Prec@5 71.875 (88.041) Test: [240/391] Time 0.110 (0.113) Loss 1.8141 (1.3917) Prec@1 62.500 (66.043) Prec@5 78.906 (87.860) Test: [250/391] Time 0.107 (0.113) Loss 1.0570 (1.4207) Prec@1 72.656 (65.416) Prec@5 90.625 (87.488) Test: [260/391] Time 0.106 (0.113) Loss 1.9911 (1.4342) Prec@1 55.469 (65.122) Prec@5 80.469 (87.329) Test: [270/391] Time 0.106 (0.112) Loss 2.5235 (1.4469) Prec@1 39.062 (64.881) Prec@5 75.781 (87.114) Test: [280/391] Time 0.101 (0.112) Loss 1.6413 (1.4614) Prec@1 51.562 (64.610) Prec@5 85.938 (86.894) Test: [290/391] Time 0.103 (0.112) Loss 1.6893 (1.4748) Prec@1 50.000 (64.412) Prec@5 82.812 (86.611) Test: [300/391] Time 0.100 (0.112) Loss 1.0695 (1.4850) Prec@1 79.688 (64.281) Prec@5 90.625 (86.431) Test: [310/391] Time 0.112 (0.111) Loss 2.1711 (1.4989) Prec@1 59.375 (64.020) Prec@5 75.000 (86.201) Test: [320/391] Time 0.102 (0.111) Loss 1.0636 (1.5126) Prec@1 73.438 (63.763) Prec@5 92.188 (86.028) Test: [330/391] Time 0.106 (0.111) Loss 2.3832 (1.5365) Prec@1 48.438 (63.295) Prec@5 70.312 (85.645) Test: [340/391] Time 0.108 (0.111) Loss 1.0290 (1.5412) Prec@1 76.562 (63.176) Prec@5 92.969 (85.598) Test: [350/391] Time 0.101 (0.111) Loss 1.6617 (1.5449) Prec@1 62.500 (63.103) Prec@5 83.594 (85.552) Test: [360/391] Time 0.101 (0.111) Loss 1.4184 (1.5528) Prec@1 61.719 (62.972) Prec@5 88.281 (85.461) Test: [370/391] Time 0.106 (0.110) Loss 1.1495 (1.5483) Prec@1 65.625 (63.024) Prec@5 95.312 (85.527) Test: [380/391] Time 0.102 (0.110) Loss 1.2078 (1.5522) Prec@1 72.656 (62.953) Prec@5 91.406 (85.468) Test: [390/391] Time 0.070 (0.110) Loss 2.0598 (1.5431) Prec@1 55.000 (63.178) Prec@5 76.250 (85.574) * Prec@1 63.178 Prec@5 85.574 Epoch: [56][0/10010] Time 2.668 (2.668) Data 2.492 (2.492) Loss 1.7549 (1.7549) Prec@1 61.719 (61.719) Prec@5 78.125 (78.125) Epoch: [56][10/10010] Time 0.322 (0.531) Data 0.001 (0.227) Loss 1.8323 (1.7763) Prec@1 64.062 (60.938) Prec@5 79.688 (80.682) Epoch: [56][20/10010] Time 0.315 (0.428) Data 0.001 (0.119) Loss 1.5952 (1.7486) Prec@1 63.281 (60.528) Prec@5 82.031 (81.324) Epoch: [56][30/10010] Time 0.315 (0.392) Data 0.001 (0.081) Loss 1.7780 (1.7581) Prec@1 63.281 (60.207) Prec@5 83.594 (81.477) Epoch: [56][40/10010] Time 0.314 (0.374) Data 0.001 (0.062) Loss 1.5407 (1.7340) Prec@1 60.938 (60.575) Prec@5 83.594 (81.631) Epoch: [56][50/10010] Time 0.335 (0.365) Data 0.000 (0.050) Loss 1.9169 (1.7443) Prec@1 60.938 (60.248) Prec@5 75.000 (81.311) Epoch: [56][60/10010] Time 0.322 (0.358) Data 0.000 (0.042) Loss 1.4909 (1.7459) Prec@1 69.531 (60.476) Prec@5 84.375 (81.314) Epoch: [56][70/10010] Time 0.332 (0.353) Data 0.001 (0.036) Loss 1.5790 (1.7341) Prec@1 60.938 (60.607) Prec@5 82.812 (81.437) Epoch: [56][80/10010] Time 0.314 (0.350) Data 0.001 (0.031) Loss 1.6117 (1.7497) Prec@1 65.625 (60.311) Prec@5 85.156 (81.240) Epoch: [56][90/10010] Time 0.333 (0.347) Data 0.000 (0.028) Loss 1.6894 (1.7513) Prec@1 60.156 (60.302) Prec@5 79.688 (81.216) Epoch: [56][100/10010] Time 0.322 (0.345) Data 0.001 (0.025) Loss 1.5970 (1.7508) Prec@1 57.812 (60.187) Prec@5 88.281 (81.327) Epoch: [56][110/10010] Time 0.322 (0.343) Data 0.001 (0.023) Loss 1.5615 (1.7482) Prec@1 60.938 (60.206) Prec@5 82.031 (81.377) Epoch: [56][120/10010] Time 0.315 (0.341) Data 0.001 (0.021) Loss 1.7437 (1.7416) Prec@1 61.719 (60.337) Prec@5 79.688 (81.470) Epoch: [56][130/10010] Time 0.339 (0.340) Data 0.000 (0.020) Loss 1.5589 (1.7435) Prec@1 64.062 (60.425) Prec@5 85.156 (81.441) Epoch: [56][140/10010] Time 0.329 (0.338) Data 0.001 (0.018) Loss 2.0253 (1.7459) Prec@1 53.906 (60.361) Prec@5 77.344 (81.394) Epoch: [56][150/10010] Time 0.322 (0.338) Data 0.000 (0.017) Loss 1.4912 (1.7436) Prec@1 61.719 (60.311) Prec@5 85.938 (81.395) Epoch: [56][160/10010] Time 0.333 (0.337) Data 0.000 (0.016) Loss 1.7282 (1.7457) Prec@1 57.812 (60.156) Prec@5 81.250 (81.405) Epoch: [56][170/10010] Time 0.325 (0.337) Data 0.000 (0.015) Loss 1.4966 (1.7395) Prec@1 67.188 (60.248) Prec@5 83.594 (81.515) Epoch: [56][180/10010] Time 0.335 (0.336) Data 0.001 (0.014) Loss 1.5207 (1.7391) Prec@1 64.844 (60.268) Prec@5 85.938 (81.531) Epoch: [56][190/10010] Time 0.322 (0.335) Data 0.001 (0.014) Loss 1.9405 (1.7390) Prec@1 57.812 (60.275) Prec@5 82.812 (81.512) Epoch: [56][200/10010] Time 0.327 (0.335) Data 0.001 (0.013) Loss 1.5084 (1.7360) Prec@1 61.719 (60.316) Prec@5 83.594 (81.565) Epoch: [56][210/10010] Time 0.327 (0.334) Data 0.001 (0.012) Loss 1.6308 (1.7350) Prec@1 61.719 (60.275) Prec@5 83.594 (81.605) Epoch: [56][220/10010] Time 0.312 (0.334) Data 0.001 (0.012) Loss 2.2566 (1.7371) Prec@1 57.031 (60.252) Prec@5 74.219 (81.593) Epoch: [56][230/10010] Time 0.326 (0.333) Data 0.001 (0.011) Loss 1.6930 (1.7336) Prec@1 61.719 (60.379) Prec@5 81.250 (81.619) Epoch: [56][240/10010] Time 0.326 (0.333) Data 0.000 (0.011) Loss 1.4932 (1.7321) Prec@1 65.625 (60.422) Prec@5 84.375 (81.581) Epoch: [56][250/10010] Time 0.334 (0.333) Data 0.000 (0.011) Loss 2.2746 (1.7333) Prec@1 47.656 (60.393) Prec@5 74.219 (81.580) Epoch: [56][260/10010] Time 0.317 (0.332) Data 0.001 (0.010) Loss 2.0798 (1.7321) Prec@1 53.906 (60.486) Prec@5 74.219 (81.621) Epoch: [56][270/10010] Time 0.326 (0.332) Data 0.001 (0.010) Loss 1.7314 (1.7337) Prec@1 61.719 (60.447) Prec@5 81.250 (81.631) Epoch: [56][280/10010] Time 0.316 (0.332) Data 0.000 (0.010) Loss 1.7219 (1.7297) Prec@1 61.719 (60.476) Prec@5 82.812 (81.706) Epoch: [56][290/10010] Time 0.333 (0.332) Data 0.000 (0.009) Loss 1.5727 (1.7311) Prec@1 62.500 (60.503) Prec@5 82.812 (81.720) Epoch: [56][300/10010] Time 0.316 (0.332) Data 0.001 (0.009) Loss 1.8274 (1.7290) Prec@1 63.281 (60.566) Prec@5 80.469 (81.730) Epoch: [56][310/10010] Time 0.334 (0.331) Data 0.001 (0.009) Loss 1.8309 (1.7292) Prec@1 60.156 (60.561) Prec@5 78.125 (81.722) Epoch: [56][320/10010] Time 0.325 (0.331) Data 0.000 (0.008) Loss 1.7343 (1.7297) Prec@1 64.844 (60.492) Prec@5 82.031 (81.749) Epoch: [56][330/10010] Time 0.323 (0.331) Data 0.000 (0.008) Loss 1.4718 (1.7296) Prec@1 68.750 (60.477) Prec@5 81.250 (81.724) Epoch: [56][340/10010] Time 0.327 (0.331) Data 0.000 (0.008) Loss 1.9735 (1.7290) Prec@1 56.250 (60.521) Prec@5 76.562 (81.731) Epoch: [56][350/10010] Time 0.312 (0.330) Data 0.001 (0.008) Loss 1.9216 (1.7294) Prec@1 50.781 (60.512) Prec@5 78.906 (81.744) Epoch: [56][360/10010] Time 0.322 (0.330) Data 0.000 (0.008) Loss 1.4629 (1.7298) Prec@1 63.281 (60.479) Prec@5 84.375 (81.741) Epoch: [56][370/10010] Time 0.322 (0.330) Data 0.000 (0.007) Loss 1.7116 (1.7300) Prec@1 64.844 (60.489) Prec@5 82.031 (81.745) Epoch: [56][380/10010] Time 0.333 (0.330) Data 0.001 (0.007) Loss 1.5761 (1.7333) Prec@1 63.281 (60.431) Prec@5 84.375 (81.705) Epoch: [56][390/10010] Time 0.316 (0.330) Data 0.000 (0.007) Loss 1.4429 (1.7332) Prec@1 65.625 (60.424) Prec@5 85.156 (81.692) Epoch: [56][400/10010] Time 0.327 (0.330) Data 0.001 (0.007) Loss 2.0116 (1.7333) Prec@1 53.906 (60.415) Prec@5 78.906 (81.714) Epoch: [56][410/10010] Time 0.315 (0.330) Data 0.001 (0.007) Loss 1.7517 (1.7337) Prec@1 61.719 (60.439) Prec@5 85.938 (81.718) Epoch: [56][420/10010] Time 0.314 (0.329) Data 0.001 (0.007) Loss 1.7941 (1.7332) Prec@1 58.594 (60.414) Prec@5 79.688 (81.725) Epoch: [56][430/10010] Time 0.320 (0.329) Data 0.000 (0.006) Loss 1.9745 (1.7323) Prec@1 59.375 (60.419) Prec@5 80.469 (81.765) Epoch: [56][440/10010] Time 0.325 (0.329) Data 0.000 (0.006) Loss 1.8665 (1.7334) Prec@1 59.375 (60.426) Prec@5 79.688 (81.746) Epoch: [56][450/10010] Time 0.320 (0.329) Data 0.000 (0.006) Loss 1.8086 (1.7339) Prec@1 65.625 (60.432) Prec@5 80.469 (81.745) Epoch: [56][460/10010] Time 0.332 (0.329) Data 0.001 (0.006) Loss 1.7277 (1.7335) Prec@1 61.719 (60.451) Prec@5 82.031 (81.780) Epoch: [56][470/10010] Time 0.315 (0.329) Data 0.001 (0.006) Loss 1.6166 (1.7322) Prec@1 68.750 (60.473) Prec@5 83.594 (81.782) Epoch: [56][480/10010] Time 0.313 (0.329) Data 0.000 (0.006) Loss 1.7699 (1.7304) Prec@1 55.469 (60.523) Prec@5 79.688 (81.794) Epoch: [56][490/10010] Time 0.324 (0.328) Data 0.000 (0.006) Loss 1.7238 (1.7307) Prec@1 58.594 (60.495) Prec@5 83.594 (81.793) Epoch: [56][500/10010] Time 0.336 (0.328) Data 0.001 (0.006) Loss 1.5680 (1.7274) Prec@1 65.625 (60.541) Prec@5 85.938 (81.857) Epoch: [56][510/10010] Time 0.316 (0.328) Data 0.001 (0.006) Loss 1.6552 (1.7272) Prec@1 64.062 (60.535) Prec@5 82.812 (81.863) Epoch: [56][520/10010] Time 0.322 (0.328) Data 0.000 (0.005) Loss 1.8398 (1.7295) Prec@1 62.500 (60.485) Prec@5 77.344 (81.820) Epoch: [56][530/10010] Time 0.328 (0.328) Data 0.001 (0.005) Loss 1.6069 (1.7294) Prec@1 65.625 (60.480) Prec@5 84.375 (81.821) Epoch: [56][540/10010] Time 0.319 (0.328) Data 0.001 (0.005) Loss 1.7920 (1.7312) Prec@1 57.031 (60.436) Prec@5 83.594 (81.792) Epoch: [56][550/10010] Time 0.315 (0.328) Data 0.000 (0.005) Loss 1.6079 (1.7320) Prec@1 57.812 (60.419) Prec@5 85.156 (81.776) Epoch: [56][560/10010] Time 0.323 (0.328) Data 0.001 (0.005) Loss 1.5891 (1.7319) Prec@1 63.281 (60.403) Prec@5 82.812 (81.788) Epoch: [56][570/10010] Time 0.320 (0.328) Data 0.000 (0.005) Loss 1.6233 (1.7310) Prec@1 67.969 (60.434) Prec@5 85.156 (81.792) Epoch: [56][580/10010] Time 0.323 (0.327) Data 0.000 (0.005) Loss 1.8560 (1.7333) Prec@1 59.375 (60.394) Prec@5 79.688 (81.752) Epoch: [56][590/10010] Time 0.328 (0.327) Data 0.000 (0.005) Loss 1.9353 (1.7356) Prec@1 57.031 (60.353) Prec@5 78.125 (81.723) Epoch: [56][600/10010] Time 0.316 (0.327) Data 0.001 (0.005) Loss 1.6410 (1.7358) Prec@1 64.844 (60.353) Prec@5 81.250 (81.708) Epoch: [56][610/10010] Time 0.317 (0.327) Data 0.001 (0.005) Loss 1.7673 (1.7344) Prec@1 55.469 (60.376) Prec@5 77.344 (81.729) Epoch: [56][620/10010] Time 0.336 (0.327) Data 0.001 (0.005) Loss 2.0504 (1.7346) Prec@1 54.688 (60.366) Prec@5 77.344 (81.729) Epoch: [56][630/10010] Time 0.318 (0.327) Data 0.000 (0.005) Loss 1.9331 (1.7360) Prec@1 55.469 (60.346) Prec@5 78.906 (81.711) Epoch: [56][640/10010] Time 0.322 (0.327) Data 0.001 (0.005) Loss 1.6083 (1.7364) Prec@1 64.844 (60.337) Prec@5 82.812 (81.705) Epoch: [56][650/10010] Time 0.333 (0.327) Data 0.000 (0.004) Loss 1.6422 (1.7358) Prec@1 58.594 (60.327) Prec@5 85.156 (81.716) Epoch: [56][660/10010] Time 0.309 (0.327) Data 0.000 (0.004) Loss 1.8254 (1.7357) Prec@1 59.375 (60.330) Prec@5 82.812 (81.731) Epoch: [56][670/10010] Time 0.339 (0.327) Data 0.000 (0.004) Loss 1.7765 (1.7358) Prec@1 57.812 (60.337) Prec@5 78.906 (81.733) Epoch: [56][680/10010] Time 0.318 (0.327) Data 0.001 (0.004) Loss 1.7561 (1.7352) Prec@1 60.938 (60.329) Prec@5 83.594 (81.739) Epoch: [56][690/10010] Time 0.319 (0.327) Data 0.001 (0.004) Loss 1.8130 (1.7359) Prec@1 57.812 (60.324) Prec@5 81.250 (81.727) Epoch: [56][700/10010] Time 0.318 (0.327) Data 0.000 (0.004) Loss 1.7222 (1.7343) Prec@1 60.156 (60.339) Prec@5 82.031 (81.743) Epoch: [56][710/10010] Time 0.328 (0.327) Data 0.000 (0.004) Loss 1.7134 (1.7347) Prec@1 57.812 (60.336) Prec@5 81.250 (81.738) Epoch: [56][720/10010] Time 0.314 (0.327) Data 0.000 (0.004) Loss 1.6265 (1.7359) Prec@1 64.062 (60.323) Prec@5 82.031 (81.725) Epoch: [56][730/10010] Time 0.327 (0.327) Data 0.001 (0.004) Loss 1.9758 (1.7365) Prec@1 58.594 (60.305) Prec@5 76.562 (81.716) Epoch: [56][740/10010] Time 0.332 (0.327) Data 0.001 (0.004) Loss 1.9065 (1.7376) Prec@1 53.906 (60.274) Prec@5 76.562 (81.698) Epoch: [56][750/10010] Time 0.325 (0.327) Data 0.000 (0.004) Loss 1.4407 (1.7385) Prec@1 66.406 (60.256) Prec@5 86.719 (81.677) Epoch: [56][760/10010] Time 0.336 (0.327) Data 0.001 (0.004) Loss 1.6839 (1.7382) Prec@1 58.594 (60.275) Prec@5 84.375 (81.677) Epoch: [56][770/10010] Time 0.337 (0.327) Data 0.001 (0.004) Loss 1.6611 (1.7373) Prec@1 63.281 (60.299) Prec@5 83.594 (81.685) Epoch: [56][780/10010] Time 0.322 (0.326) Data 0.001 (0.004) Loss 1.7041 (1.7373) Prec@1 62.500 (60.311) Prec@5 82.031 (81.677) Epoch: [56][790/10010] Time 0.324 (0.326) Data 0.000 (0.004) Loss 1.7102 (1.7386) Prec@1 60.938 (60.289) Prec@5 83.594 (81.661) Epoch: [56][800/10010] Time 0.335 (0.326) Data 0.001 (0.004) Loss 1.6097 (1.7383) Prec@1 62.500 (60.276) Prec@5 84.375 (81.663) Epoch: [56][810/10010] Time 0.322 (0.326) Data 0.000 (0.004) Loss 1.7118 (1.7387) Prec@1 60.156 (60.260) Prec@5 82.031 (81.664) Epoch: [56][820/10010] Time 0.316 (0.326) Data 0.001 (0.004) Loss 1.8523 (1.7392) Prec@1 53.906 (60.238) Prec@5 82.812 (81.665) Epoch: [56][830/10010] Time 0.329 (0.326) Data 0.001 (0.004) Loss 1.8328 (1.7392) Prec@1 59.375 (60.240) Prec@5 82.031 (81.672) Epoch: [56][840/10010] Time 0.322 (0.326) Data 0.001 (0.004) Loss 1.9356 (1.7403) Prec@1 46.875 (60.216) Prec@5 78.906 (81.653) Epoch: [56][850/10010] Time 0.341 (0.326) Data 0.001 (0.004) Loss 1.4720 (1.7408) Prec@1 62.500 (60.202) Prec@5 89.844 (81.655) Epoch: [56][860/10010] Time 0.320 (0.326) Data 0.001 (0.004) Loss 1.8983 (1.7405) Prec@1 57.031 (60.216) Prec@5 80.469 (81.660) Epoch: [56][870/10010] Time 0.316 (0.326) Data 0.000 (0.003) Loss 1.3690 (1.7401) Prec@1 65.625 (60.214) Prec@5 85.156 (81.665) Epoch: [56][880/10010] Time 0.318 (0.326) Data 0.001 (0.003) Loss 1.5473 (1.7396) Prec@1 64.844 (60.204) Prec@5 82.031 (81.672) Epoch: [56][890/10010] Time 0.341 (0.326) Data 0.000 (0.003) Loss 1.6829 (1.7398) Prec@1 57.812 (60.195) Prec@5 83.594 (81.661) Epoch: [56][900/10010] Time 0.319 (0.326) Data 0.001 (0.003) Loss 1.8764 (1.7403) Prec@1 56.250 (60.189) Prec@5 82.031 (81.655) Epoch: [56][910/10010] Time 0.332 (0.326) Data 0.001 (0.003) Loss 1.7892 (1.7398) Prec@1 60.156 (60.213) Prec@5 83.594 (81.656) Epoch: [56][920/10010] Time 0.326 (0.326) Data 0.000 (0.003) Loss 2.0794 (1.7411) Prec@1 51.562 (60.199) Prec@5 78.906 (81.642) Epoch: [56][930/10010] Time 0.335 (0.326) Data 0.001 (0.003) Loss 1.5100 (1.7408) Prec@1 67.188 (60.209) Prec@5 83.594 (81.644) Epoch: [56][940/10010] Time 0.334 (0.326) Data 0.001 (0.003) Loss 1.7789 (1.7409) Prec@1 60.938 (60.202) Prec@5 80.469 (81.649) Epoch: [56][950/10010] Time 0.311 (0.326) Data 0.001 (0.003) Loss 1.7882 (1.7409) Prec@1 59.375 (60.200) Prec@5 80.469 (81.651) Epoch: [56][960/10010] Time 0.332 (0.326) Data 0.000 (0.003) Loss 1.6983 (1.7414) Prec@1 60.938 (60.183) Prec@5 82.812 (81.640) Epoch: [56][970/10010] Time 0.336 (0.326) Data 0.001 (0.003) Loss 1.7308 (1.7409) Prec@1 58.594 (60.199) Prec@5 82.812 (81.654) Epoch: [56][980/10010] Time 0.322 (0.326) Data 0.000 (0.003) Loss 1.6966 (1.7403) Prec@1 56.250 (60.213) Prec@5 83.594 (81.655) Epoch: [56][990/10010] Time 0.340 (0.326) Data 0.000 (0.003) Loss 1.5027 (1.7397) Prec@1 65.625 (60.231) Prec@5 87.500 (81.671) Epoch: [56][1000/10010] Time 0.313 (0.326) Data 0.000 (0.003) Loss 1.8111 (1.7398) Prec@1 57.812 (60.216) Prec@5 81.250 (81.665) Epoch: [56][1010/10010] Time 0.310 (0.326) Data 0.001 (0.003) Loss 1.8973 (1.7401) Prec@1 57.812 (60.214) Prec@5 78.906 (81.657) Epoch: [56][1020/10010] Time 0.316 (0.326) Data 0.001 (0.003) Loss 1.7737 (1.7391) Prec@1 60.156 (60.217) Prec@5 83.594 (81.681) Epoch: [56][1030/10010] Time 0.325 (0.326) Data 0.000 (0.003) Loss 1.6625 (1.7388) Prec@1 61.719 (60.231) Prec@5 84.375 (81.685) Epoch: [56][1040/10010] Time 0.314 (0.326) Data 0.001 (0.003) Loss 1.7477 (1.7390) Prec@1 57.812 (60.239) Prec@5 81.250 (81.692) Epoch: [56][1050/10010] Time 0.341 (0.326) Data 0.000 (0.003) Loss 1.8347 (1.7387) Prec@1 60.938 (60.237) Prec@5 84.375 (81.700) Epoch: [56][1060/10010] Time 0.323 (0.326) Data 0.000 (0.003) Loss 1.7573 (1.7390) Prec@1 56.250 (60.214) Prec@5 87.500 (81.706) Epoch: [56][1070/10010] Time 0.343 (0.326) Data 0.001 (0.003) Loss 1.8661 (1.7393) Prec@1 61.719 (60.214) Prec@5 79.688 (81.701) Epoch: [56][1080/10010] Time 0.319 (0.326) Data 0.001 (0.003) Loss 2.1834 (1.7399) Prec@1 53.906 (60.198) Prec@5 71.875 (81.689) Epoch: [56][1090/10010] Time 0.317 (0.326) Data 0.001 (0.003) Loss 1.6006 (1.7403) Prec@1 58.594 (60.185) Prec@5 82.812 (81.677) Epoch: [56][1100/10010] Time 0.320 (0.326) Data 0.001 (0.003) Loss 1.8651 (1.7411) Prec@1 60.156 (60.174) Prec@5 86.719 (81.675) Epoch: [56][1110/10010] Time 0.334 (0.326) Data 0.000 (0.003) Loss 1.6123 (1.7402) Prec@1 60.938 (60.194) Prec@5 85.156 (81.701) Epoch: [56][1120/10010] Time 0.317 (0.326) Data 0.000 (0.003) Loss 1.6156 (1.7398) Prec@1 60.938 (60.192) Prec@5 85.938 (81.711) Epoch: [56][1130/10010] Time 0.322 (0.326) Data 0.000 (0.003) Loss 1.5095 (1.7392) Prec@1 64.062 (60.198) Prec@5 85.938 (81.711) Epoch: [56][1140/10010] Time 0.316 (0.326) Data 0.001 (0.003) Loss 1.6894 (1.7392) Prec@1 58.594 (60.198) Prec@5 81.250 (81.716) Epoch: [56][1150/10010] Time 0.314 (0.326) Data 0.000 (0.003) Loss 1.7692 (1.7396) Prec@1 53.906 (60.191) Prec@5 82.031 (81.708) Epoch: [56][1160/10010] Time 0.334 (0.326) Data 0.000 (0.003) Loss 1.8980 (1.7402) Prec@1 57.812 (60.185) Prec@5 75.781 (81.694) Epoch: [56][1170/10010] Time 0.337 (0.326) Data 0.001 (0.003) Loss 1.5863 (1.7402) Prec@1 61.719 (60.186) Prec@5 82.031 (81.688) Epoch: [56][1180/10010] Time 0.336 (0.326) Data 0.001 (0.003) Loss 1.7610 (1.7400) Prec@1 61.719 (60.191) Prec@5 80.469 (81.682) Epoch: [56][1190/10010] Time 0.334 (0.326) Data 0.001 (0.003) Loss 1.5365 (1.7397) Prec@1 60.938 (60.196) Prec@5 83.594 (81.689) Epoch: [56][1200/10010] Time 0.335 (0.326) Data 0.001 (0.003) Loss 1.4738 (1.7389) Prec@1 67.969 (60.209) Prec@5 88.281 (81.698) Epoch: [56][1210/10010] Time 0.330 (0.326) Data 0.000 (0.003) Loss 1.5530 (1.7386) Prec@1 62.500 (60.230) Prec@5 85.156 (81.698) Epoch: [56][1220/10010] Time 0.331 (0.326) Data 0.000 (0.003) Loss 1.6837 (1.7387) Prec@1 60.156 (60.206) Prec@5 78.906 (81.698) Epoch: [56][1230/10010] Time 0.325 (0.326) Data 0.000 (0.003) Loss 2.2035 (1.7394) Prec@1 56.250 (60.194) Prec@5 74.219 (81.689) Epoch: [56][1240/10010] Time 0.331 (0.326) Data 0.001 (0.003) Loss 1.6291 (1.7382) Prec@1 60.156 (60.217) Prec@5 85.938 (81.710) Epoch: [56][1250/10010] Time 0.321 (0.326) Data 0.001 (0.003) Loss 1.7630 (1.7383) Prec@1 60.156 (60.209) Prec@5 85.156 (81.710) Epoch: [56][1260/10010] Time 0.336 (0.326) Data 0.000 (0.003) Loss 1.6287 (1.7379) Prec@1 58.594 (60.210) Prec@5 87.500 (81.717) Epoch: [56][1270/10010] Time 0.325 (0.326) Data 0.001 (0.003) Loss 1.6943 (1.7373) Prec@1 56.250 (60.221) Prec@5 82.812 (81.723) Epoch: [56][1280/10010] Time 0.333 (0.326) Data 0.001 (0.003) Loss 1.9242 (1.7376) Prec@1 58.594 (60.212) Prec@5 78.906 (81.714) Epoch: [56][1290/10010] Time 0.335 (0.326) Data 0.000 (0.003) Loss 1.9689 (1.7379) Prec@1 57.812 (60.204) Prec@5 78.906 (81.706) Epoch: [56][1300/10010] Time 0.321 (0.326) Data 0.001 (0.003) Loss 1.7738 (1.7380) Prec@1 62.500 (60.203) Prec@5 82.812 (81.702) Epoch: [56][1310/10010] Time 0.330 (0.326) Data 0.001 (0.003) Loss 1.5197 (1.7379) Prec@1 61.719 (60.202) Prec@5 85.156 (81.705) Epoch: [56][1320/10010] Time 0.323 (0.326) Data 0.001 (0.003) Loss 1.6095 (1.7376) Prec@1 60.938 (60.201) Prec@5 84.375 (81.712) Epoch: [56][1330/10010] Time 0.314 (0.326) Data 0.001 (0.002) Loss 1.9830 (1.7379) Prec@1 57.812 (60.193) Prec@5 82.812 (81.711) Epoch: [56][1340/10010] Time 0.336 (0.326) Data 0.000 (0.002) Loss 1.7367 (1.7381) Prec@1 62.500 (60.196) Prec@5 83.594 (81.706) Epoch: [56][1350/10010] Time 0.321 (0.326) Data 0.000 (0.002) Loss 1.3568 (1.7379) Prec@1 70.312 (60.193) Prec@5 90.625 (81.715) Epoch: [56][1360/10010] Time 0.315 (0.326) Data 0.000 (0.002) Loss 1.6935 (1.7378) Prec@1 61.719 (60.196) Prec@5 84.375 (81.721) Epoch: [56][1370/10010] Time 0.322 (0.326) Data 0.001 (0.002) Loss 1.6374 (1.7380) Prec@1 62.500 (60.201) Prec@5 81.250 (81.708) Epoch: [56][1380/10010] Time 0.327 (0.326) Data 0.001 (0.002) Loss 1.6368 (1.7381) Prec@1 59.375 (60.206) Prec@5 87.500 (81.708) Epoch: [56][1390/10010] Time 0.329 (0.326) Data 0.000 (0.002) Loss 1.6098 (1.7377) Prec@1 63.281 (60.214) Prec@5 84.375 (81.716) Epoch: [56][1400/10010] Time 0.332 (0.326) Data 0.001 (0.002) Loss 1.6604 (1.7372) Prec@1 62.500 (60.220) Prec@5 81.250 (81.722) Epoch: [56][1410/10010] Time 0.329 (0.326) Data 0.001 (0.002) Loss 1.9251 (1.7380) Prec@1 57.812 (60.204) Prec@5 78.125 (81.716) Epoch: [56][1420/10010] Time 0.317 (0.326) Data 0.000 (0.002) Loss 1.7483 (1.7377) Prec@1 64.844 (60.216) Prec@5 82.031 (81.724) Epoch: [56][1430/10010] Time 0.339 (0.326) Data 0.000 (0.002) Loss 1.9454 (1.7375) Prec@1 56.250 (60.218) Prec@5 78.125 (81.717) Epoch: [56][1440/10010] Time 0.317 (0.326) Data 0.001 (0.002) Loss 1.5108 (1.7374) Prec@1 62.500 (60.208) Prec@5 82.812 (81.722) Epoch: [56][1450/10010] Time 0.324 (0.326) Data 0.001 (0.002) Loss 1.7510 (1.7371) Prec@1 57.812 (60.209) Prec@5 88.281 (81.732) Epoch: [56][1460/10010] Time 0.339 (0.326) Data 0.000 (0.002) Loss 1.6307 (1.7370) Prec@1 63.281 (60.220) Prec@5 83.594 (81.735) Epoch: [56][1470/10010] Time 0.319 (0.326) Data 0.000 (0.002) Loss 1.7251 (1.7372) Prec@1 57.812 (60.219) Prec@5 79.688 (81.738) Epoch: [56][1480/10010] Time 0.318 (0.326) Data 0.001 (0.002) Loss 1.8163 (1.7382) Prec@1 58.594 (60.203) Prec@5 78.125 (81.715) Epoch: [56][1490/10010] Time 0.323 (0.326) Data 0.001 (0.002) Loss 1.5107 (1.7384) Prec@1 64.844 (60.198) Prec@5 85.938 (81.717) Epoch: [56][1500/10010] Time 0.320 (0.326) Data 0.001 (0.002) Loss 1.8212 (1.7389) Prec@1 59.375 (60.203) Prec@5 80.469 (81.705) Epoch: [56][1510/10010] Time 0.333 (0.326) Data 0.001 (0.002) Loss 1.8374 (1.7388) Prec@1 58.594 (60.205) Prec@5 81.250 (81.703) Epoch: [56][1520/10010] Time 0.333 (0.326) Data 0.000 (0.002) Loss 1.8410 (1.7390) Prec@1 59.375 (60.201) Prec@5 78.906 (81.697) Epoch: [56][1530/10010] Time 0.315 (0.326) Data 0.001 (0.002) Loss 1.6853 (1.7381) Prec@1 61.719 (60.212) Prec@5 82.031 (81.717) Epoch: [56][1540/10010] Time 0.331 (0.326) Data 0.001 (0.002) Loss 1.6686 (1.7391) Prec@1 64.844 (60.191) Prec@5 80.469 (81.712) Epoch: [56][1550/10010] Time 0.333 (0.326) Data 0.000 (0.002) Loss 1.6048 (1.7391) Prec@1 63.281 (60.188) Prec@5 83.594 (81.705) Epoch: [56][1560/10010] Time 0.317 (0.326) Data 0.000 (0.002) Loss 1.8009 (1.7392) Prec@1 60.156 (60.182) Prec@5 81.250 (81.698) Epoch: [56][1570/10010] Time 0.342 (0.326) Data 0.000 (0.002) Loss 1.6686 (1.7395) Prec@1 59.375 (60.162) Prec@5 84.375 (81.692) Epoch: [56][1580/10010] Time 0.318 (0.326) Data 0.001 (0.002) Loss 1.9140 (1.7398) Prec@1 58.594 (60.161) Prec@5 82.812 (81.697) Epoch: [56][1590/10010] Time 0.316 (0.326) Data 0.001 (0.002) Loss 2.1063 (1.7399) Prec@1 53.125 (60.160) Prec@5 75.781 (81.697) Epoch: [56][1600/10010] Time 0.325 (0.326) Data 0.000 (0.002) Loss 1.7487 (1.7402) Prec@1 60.938 (60.161) Prec@5 78.906 (81.688) Epoch: [56][1610/10010] Time 0.334 (0.326) Data 0.000 (0.002) Loss 2.0939 (1.7401) Prec@1 50.000 (60.156) Prec@5 77.344 (81.691) Epoch: [56][1620/10010] Time 0.310 (0.326) Data 0.000 (0.002) Loss 1.8373 (1.7404) Prec@1 53.906 (60.148) Prec@5 78.125 (81.683) Epoch: [56][1630/10010] Time 0.317 (0.326) Data 0.001 (0.002) Loss 1.6418 (1.7405) Prec@1 58.594 (60.146) Prec@5 84.375 (81.688) Epoch: [56][1640/10010] Time 0.328 (0.326) Data 0.000 (0.002) Loss 1.6328 (1.7407) Prec@1 60.938 (60.142) Prec@5 85.156 (81.681) Epoch: [56][1650/10010] Time 0.337 (0.326) Data 0.000 (0.002) Loss 1.7211 (1.7409) Prec@1 62.500 (60.140) Prec@5 80.469 (81.675) Epoch: [56][1660/10010] Time 0.316 (0.326) Data 0.000 (0.002) Loss 1.9289 (1.7409) Prec@1 58.594 (60.134) Prec@5 75.781 (81.669) Epoch: [56][1670/10010] Time 0.313 (0.326) Data 0.000 (0.002) Loss 1.8133 (1.7407) Prec@1 62.500 (60.135) Prec@5 82.031 (81.677) Epoch: [56][1680/10010] Time 0.322 (0.326) Data 0.001 (0.002) Loss 1.6843 (1.7406) Prec@1 61.719 (60.132) Prec@5 81.250 (81.678) Epoch: [56][1690/10010] Time 0.329 (0.326) Data 0.001 (0.002) Loss 1.9996 (1.7409) Prec@1 53.906 (60.128) Prec@5 76.562 (81.670) Epoch: [56][1700/10010] Time 0.313 (0.326) Data 0.001 (0.002) Loss 1.9598 (1.7408) Prec@1 58.594 (60.132) Prec@5 75.781 (81.673) Epoch: [56][1710/10010] Time 0.319 (0.326) Data 0.001 (0.002) Loss 1.8980 (1.7409) Prec@1 57.031 (60.133) Prec@5 80.469 (81.668) Epoch: [56][1720/10010] Time 0.328 (0.326) Data 0.000 (0.002) Loss 2.1422 (1.7412) Prec@1 50.000 (60.126) Prec@5 75.000 (81.659) Epoch: [56][1730/10010] Time 0.322 (0.326) Data 0.001 (0.002) Loss 2.0573 (1.7417) Prec@1 51.562 (60.115) Prec@5 79.688 (81.653) Epoch: [56][1740/10010] Time 0.337 (0.326) Data 0.001 (0.002) Loss 1.8825 (1.7420) Prec@1 58.594 (60.112) Prec@5 81.250 (81.651) Epoch: [56][1750/10010] Time 0.340 (0.326) Data 0.001 (0.002) Loss 1.6686 (1.7418) Prec@1 60.938 (60.110) Prec@5 83.594 (81.656) Epoch: [56][1760/10010] Time 0.326 (0.326) Data 0.000 (0.002) Loss 1.7848 (1.7419) Prec@1 58.594 (60.111) Prec@5 82.031 (81.659) Epoch: [56][1770/10010] Time 0.322 (0.326) Data 0.000 (0.002) Loss 1.9012 (1.7417) Prec@1 58.594 (60.108) Prec@5 75.781 (81.659) Epoch: [56][1780/10010] Time 0.316 (0.326) Data 0.001 (0.002) Loss 1.4704 (1.7414) Prec@1 62.500 (60.108) Prec@5 88.281 (81.661) Epoch: [56][1790/10010] Time 0.317 (0.326) Data 0.001 (0.002) Loss 1.8552 (1.7418) Prec@1 56.250 (60.096) Prec@5 81.250 (81.652) Epoch: [56][1800/10010] Time 0.342 (0.326) Data 0.000 (0.002) Loss 2.0073 (1.7419) Prec@1 57.031 (60.097) Prec@5 79.688 (81.652) Epoch: [56][1810/10010] Time 0.312 (0.326) Data 0.001 (0.002) Loss 1.8232 (1.7421) Prec@1 63.281 (60.097) Prec@5 77.344 (81.646) Epoch: [56][1820/10010] Time 0.319 (0.326) Data 0.000 (0.002) Loss 1.5266 (1.7421) Prec@1 65.625 (60.103) Prec@5 82.812 (81.646) Epoch: [56][1830/10010] Time 0.318 (0.326) Data 0.001 (0.002) Loss 1.6729 (1.7421) Prec@1 61.719 (60.104) Prec@5 82.031 (81.648) Epoch: [56][1840/10010] Time 0.326 (0.326) Data 0.000 (0.002) Loss 1.8056 (1.7423) Prec@1 57.812 (60.099) Prec@5 81.250 (81.646) Epoch: [56][1850/10010] Time 0.327 (0.326) Data 0.000 (0.002) Loss 1.8762 (1.7422) Prec@1 57.031 (60.095) Prec@5 84.375 (81.648) Epoch: [56][1860/10010] Time 0.335 (0.326) Data 0.001 (0.002) Loss 2.0098 (1.7428) Prec@1 55.469 (60.083) Prec@5 79.688 (81.645) Epoch: [56][1870/10010] Time 0.312 (0.326) Data 0.001 (0.002) Loss 1.9182 (1.7426) Prec@1 58.594 (60.093) Prec@5 76.562 (81.647) Epoch: [56][1880/10010] Time 0.321 (0.326) Data 0.001 (0.002) Loss 2.0294 (1.7425) Prec@1 50.781 (60.092) Prec@5 78.906 (81.651) Epoch: [56][1890/10010] Time 0.334 (0.326) Data 0.001 (0.002) Loss 1.6945 (1.7426) Prec@1 57.812 (60.093) Prec@5 81.250 (81.646) Epoch: [56][1900/10010] Time 0.307 (0.326) Data 0.000 (0.002) Loss 1.5055 (1.7423) Prec@1 70.312 (60.101) Prec@5 84.375 (81.648) Epoch: [56][1910/10010] Time 0.337 (0.326) Data 0.001 (0.002) Loss 1.7127 (1.7420) Prec@1 60.156 (60.114) Prec@5 80.469 (81.653) Epoch: [56][1920/10010] Time 0.313 (0.326) Data 0.000 (0.002) Loss 1.9233 (1.7420) Prec@1 57.812 (60.113) Prec@5 81.250 (81.651) Epoch: [56][1930/10010] Time 0.328 (0.326) Data 0.000 (0.002) Loss 1.7733 (1.7423) Prec@1 60.156 (60.109) Prec@5 85.156 (81.649) Epoch: [56][1940/10010] Time 0.325 (0.326) Data 0.000 (0.002) Loss 2.0050 (1.7424) Prec@1 50.781 (60.109) Prec@5 78.906 (81.647) Epoch: [56][1950/10010] Time 0.341 (0.326) Data 0.000 (0.002) Loss 1.7564 (1.7430) Prec@1 63.281 (60.104) Prec@5 79.688 (81.636) Epoch: [56][1960/10010] Time 0.321 (0.326) Data 0.001 (0.002) Loss 1.7814 (1.7433) Prec@1 59.375 (60.098) Prec@5 81.250 (81.630) Epoch: [56][1970/10010] Time 0.333 (0.326) Data 0.000 (0.002) Loss 1.5890 (1.7428) Prec@1 60.938 (60.111) Prec@5 85.156 (81.638) Epoch: [56][1980/10010] Time 0.323 (0.326) Data 0.001 (0.002) Loss 1.6134 (1.7429) Prec@1 64.062 (60.109) Prec@5 84.375 (81.640) Epoch: [56][1990/10010] Time 0.316 (0.326) Data 0.001 (0.002) Loss 1.9104 (1.7434) Prec@1 57.812 (60.097) Prec@5 79.688 (81.626) Epoch: [56][2000/10010] Time 0.325 (0.326) Data 0.000 (0.002) Loss 1.9257 (1.7435) Prec@1 57.812 (60.098) Prec@5 79.688 (81.626) Epoch: [56][2010/10010] Time 0.337 (0.326) Data 0.000 (0.002) Loss 1.7673 (1.7437) Prec@1 61.719 (60.100) Prec@5 81.250 (81.616) Epoch: [56][2020/10010] Time 0.318 (0.326) Data 0.001 (0.002) Loss 1.9962 (1.7442) Prec@1 61.719 (60.096) Prec@5 76.562 (81.613) Epoch: [56][2030/10010] Time 0.323 (0.326) Data 0.001 (0.002) Loss 1.5359 (1.7444) Prec@1 60.938 (60.089) Prec@5 85.938 (81.613) Epoch: [56][2040/10010] Time 0.315 (0.326) Data 0.000 (0.002) Loss 1.4376 (1.7444) Prec@1 65.625 (60.092) Prec@5 86.719 (81.612) Epoch: [56][2050/10010] Time 0.331 (0.326) Data 0.000 (0.002) Loss 1.8198 (1.7444) Prec@1 57.031 (60.090) Prec@5 79.688 (81.616) Epoch: [56][2060/10010] Time 0.330 (0.326) Data 0.001 (0.002) Loss 1.7159 (1.7443) Prec@1 59.375 (60.088) Prec@5 81.250 (81.615) Epoch: [56][2070/10010] Time 0.319 (0.326) Data 0.001 (0.002) Loss 2.1419 (1.7439) Prec@1 54.688 (60.097) Prec@5 76.562 (81.623) Epoch: [56][2080/10010] Time 0.336 (0.326) Data 0.001 (0.002) Loss 2.0011 (1.7443) Prec@1 57.812 (60.093) Prec@5 79.688 (81.613) Epoch: [56][2090/10010] Time 0.335 (0.326) Data 0.000 (0.002) Loss 1.7571 (1.7442) Prec@1 58.594 (60.091) Prec@5 78.125 (81.614) Epoch: [56][2100/10010] Time 0.313 (0.326) Data 0.000 (0.002) Loss 1.7825 (1.7441) Prec@1 61.719 (60.095) Prec@5 78.906 (81.613) Epoch: [56][2110/10010] Time 0.344 (0.326) Data 0.000 (0.002) Loss 1.9010 (1.7444) Prec@1 53.125 (60.087) Prec@5 75.781 (81.606) /data/vision/torralba/deepscene/lib/anaconda2/lib/python2.7/site-packages/PIL/TiffImagePlugin.py:692: UserWarning: Possibly corrupt EXIF data. Expecting to read 2555904 bytes but only got 0. Skipping tag 0 "Skipping tag %s" % (size, len(data), tag)) Epoch: [56][2120/10010] Time 0.338 (0.326) Data 0.000 (0.002) Loss 1.6677 (1.7445) Prec@1 59.375 (60.082) Prec@5 85.938 (81.602) Epoch: [56][2130/10010] Time 0.325 (0.326) Data 0.001 (0.002) Loss 1.4941 (1.7447) Prec@1 63.281 (60.072) Prec@5 84.375 (81.600) Epoch: [56][2140/10010] Time 0.339 (0.326) Data 0.000 (0.002) Loss 2.0107 (1.7448) Prec@1 54.688 (60.072) Prec@5 78.125 (81.600) Epoch: [56][2150/10010] Time 0.332 (0.326) Data 0.001 (0.002) Loss 1.8790 (1.7444) Prec@1 60.938 (60.081) Prec@5 76.562 (81.607) Epoch: [56][2160/10010] Time 0.326 (0.326) Data 0.001 (0.002) Loss 1.5555 (1.7448) Prec@1 63.281 (60.072) Prec@5 88.281 (81.604) Epoch: [56][2170/10010] Time 0.312 (0.326) Data 0.001 (0.002) Loss 1.6622 (1.7452) Prec@1 60.156 (60.070) Prec@5 82.812 (81.603) Epoch: [56][2180/10010] Time 0.337 (0.326) Data 0.000 (0.002) Loss 2.0194 (1.7454) Prec@1 53.125 (60.075) Prec@5 76.562 (81.597) Epoch: [56][2190/10010] Time 0.321 (0.326) Data 0.001 (0.002) Loss 1.7232 (1.7457) Prec@1 60.156 (60.064) Prec@5 81.250 (81.590) Epoch: [56][2200/10010] Time 0.331 (0.326) Data 0.001 (0.002) Loss 1.8333 (1.7456) Prec@1 57.812 (60.067) Prec@5 80.469 (81.597) Epoch: [56][2210/10010] Time 0.316 (0.326) Data 0.001 (0.002) Loss 2.0473 (1.7454) Prec@1 57.812 (60.072) Prec@5 78.906 (81.597) Epoch: [56][2220/10010] Time 0.337 (0.326) Data 0.001 (0.002) Loss 1.9350 (1.7450) Prec@1 56.250 (60.083) Prec@5 76.562 (81.602) Epoch: [56][2230/10010] Time 0.326 (0.326) Data 0.001 (0.002) Loss 1.8940 (1.7452) Prec@1 64.844 (60.077) Prec@5 76.562 (81.602) Epoch: [56][2240/10010] Time 0.308 (0.326) Data 0.001 (0.002) Loss 1.7619 (1.7454) Prec@1 60.156 (60.082) Prec@5 79.688 (81.598) Epoch: [56][2250/10010] Time 0.334 (0.326) Data 0.000 (0.002) Loss 1.7420 (1.7454) Prec@1 59.375 (60.083) Prec@5 80.469 (81.597) Epoch: [56][2260/10010] Time 0.321 (0.326) Data 0.000 (0.002) Loss 1.4666 (1.7455) Prec@1 64.062 (60.083) Prec@5 85.156 (81.597) Epoch: [56][2270/10010] Time 0.326 (0.326) Data 0.001 (0.002) Loss 1.6090 (1.7458) Prec@1 64.062 (60.083) Prec@5 85.938 (81.594) Epoch: [56][2280/10010] Time 0.332 (0.326) Data 0.001 (0.002) Loss 2.0039 (1.7458) Prec@1 55.469 (60.082) Prec@5 76.562 (81.588) Epoch: [56][2290/10010] Time 0.321 (0.326) Data 0.000 (0.002) Loss 2.1372 (1.7464) Prec@1 55.469 (60.066) Prec@5 73.438 (81.579) Epoch: [56][2300/10010] Time 0.317 (0.326) Data 0.000 (0.002) Loss 1.5651 (1.7461) Prec@1 63.281 (60.068) Prec@5 83.594 (81.583) Epoch: [56][2310/10010] Time 0.339 (0.326) Data 0.000 (0.002) Loss 1.8848 (1.7465) Prec@1 60.938 (60.061) Prec@5 81.250 (81.577) Epoch: [56][2320/10010] Time 0.316 (0.326) Data 0.000 (0.002) Loss 1.8599 (1.7466) Prec@1 57.031 (60.062) Prec@5 78.125 (81.569) Epoch: [56][2330/10010] Time 0.329 (0.326) Data 0.001 (0.002) Loss 1.6769 (1.7464) Prec@1 64.062 (60.067) Prec@5 83.594 (81.575) Epoch: [56][2340/10010] Time 0.333 (0.326) Data 0.000 (0.002) Loss 1.8257 (1.7463) Prec@1 57.812 (60.067) Prec@5 84.375 (81.583) Epoch: [56][2350/10010] Time 0.315 (0.326) Data 0.000 (0.002) Loss 1.8758 (1.7461) Prec@1 61.719 (60.074) Prec@5 75.781 (81.583) Epoch: [56][2360/10010] Time 0.323 (0.326) Data 0.000 (0.002) Loss 1.7651 (1.7458) Prec@1 55.469 (60.076) Prec@5 80.469 (81.587) Epoch: [56][2370/10010] Time 0.331 (0.326) Data 0.001 (0.002) Loss 1.9209 (1.7460) Prec@1 58.594 (60.067) Prec@5 77.344 (81.587) Epoch: [56][2380/10010] Time 0.336 (0.326) Data 0.001 (0.002) Loss 1.6640 (1.7461) Prec@1 68.750 (60.069) Prec@5 85.156 (81.591) Epoch: [56][2390/10010] Time 0.318 (0.326) Data 0.001 (0.002) Loss 2.0180 (1.7461) Prec@1 55.469 (60.072) Prec@5 80.469 (81.594) Epoch: [56][2400/10010] Time 0.321 (0.326) Data 0.000 (0.002) Loss 1.6116 (1.7458) Prec@1 59.375 (60.077) Prec@5 85.938 (81.599) Epoch: [56][2410/10010] Time 0.323 (0.326) Data 0.001 (0.002) Loss 1.7872 (1.7460) Prec@1 58.594 (60.080) Prec@5 78.906 (81.595) Epoch: [56][2420/10010] Time 0.325 (0.326) Data 0.001 (0.002) Loss 1.6527 (1.7457) Prec@1 60.156 (60.084) Prec@5 83.594 (81.600) /data/vision/torralba/deepscene/lib/anaconda2/lib/python2.7/site-packages/PIL/TiffImagePlugin.py:692: UserWarning: Possibly corrupt EXIF data. Expecting to read 2555904 bytes but only got 0. Skipping tag 0 "Skipping tag %s" % (size, len(data), tag)) Epoch: [56][2430/10010] Time 0.329 (0.326) Data 0.000 (0.002) Loss 1.7921 (1.7456) Prec@1 55.469 (60.091) Prec@5 81.250 (81.598) Epoch: [56][2440/10010] Time 0.318 (0.326) Data 0.001 (0.002) Loss 1.4777 (1.7452) Prec@1 63.281 (60.097) Prec@5 90.625 (81.606) Epoch: [56][2450/10010] Time 0.320 (0.326) Data 0.001 (0.002) Loss 1.6380 (1.7454) Prec@1 65.625 (60.096) Prec@5 79.688 (81.603) Epoch: [56][2460/10010] Time 0.323 (0.326) Data 0.001 (0.002) Loss 1.7817 (1.7459) Prec@1 57.812 (60.093) Prec@5 82.031 (81.595) Epoch: [56][2470/10010] Time 0.329 (0.326) Data 0.001 (0.002) Loss 1.8305 (1.7459) Prec@1 59.375 (60.090) Prec@5 80.469 (81.597) Epoch: [56][2480/10010] Time 0.332 (0.326) Data 0.001 (0.002) Loss 1.5127 (1.7458) Prec@1 67.188 (60.097) Prec@5 83.594 (81.601) Epoch: [56][2490/10010] Time 0.334 (0.326) Data 0.000 (0.002) Loss 1.7313 (1.7461) Prec@1 57.031 (60.085) Prec@5 80.469 (81.597) Epoch: [56][2500/10010] Time 0.310 (0.326) Data 0.001 (0.002) Loss 1.8976 (1.7464) Prec@1 60.156 (60.078) Prec@5 78.906 (81.592) Epoch: [56][2510/10010] Time 0.322 (0.326) Data 0.000 (0.002) Loss 2.0335 (1.7464) Prec@1 58.594 (60.074) Prec@5 75.000 (81.593) Epoch: [56][2520/10010] Time 0.321 (0.326) Data 0.001 (0.002) Loss 1.4908 (1.7461) Prec@1 64.844 (60.080) Prec@5 86.719 (81.599) Epoch: [56][2530/10010] Time 0.322 (0.326) Data 0.001 (0.002) Loss 1.8371 (1.7463) Prec@1 56.250 (60.078) Prec@5 78.906 (81.597) Epoch: [56][2540/10010] Time 0.342 (0.326) Data 0.000 (0.002) Loss 1.7985 (1.7463) Prec@1 57.812 (60.077) Prec@5 82.812 (81.601) Epoch: [56][2550/10010] Time 0.327 (0.326) Data 0.001 (0.002) Loss 1.6296 (1.7464) Prec@1 59.375 (60.065) Prec@5 85.156 (81.598) Epoch: [56][2560/10010] Time 0.323 (0.326) Data 0.001 (0.002) Loss 2.2745 (1.7465) Prec@1 50.781 (60.059) Prec@5 71.875 (81.592) Epoch: [56][2570/10010] Time 0.340 (0.326) Data 0.000 (0.002) Loss 1.6199 (1.7466) Prec@1 63.281 (60.055) Prec@5 83.594 (81.590) Epoch: [56][2580/10010] Time 0.319 (0.326) Data 0.000 (0.002) Loss 1.7302 (1.7465) Prec@1 57.031 (60.054) Prec@5 82.031 (81.592) Epoch: [56][2590/10010] Time 0.326 (0.326) Data 0.001 (0.002) Loss 1.8053 (1.7470) Prec@1 60.938 (60.043) Prec@5 82.031 (81.585) Epoch: [56][2600/10010] Time 0.335 (0.326) Data 0.001 (0.002) Loss 1.8517 (1.7473) Prec@1 59.375 (60.048) Prec@5 78.125 (81.579) Epoch: [56][2610/10010] Time 0.332 (0.326) Data 0.001 (0.002) Loss 1.5161 (1.7469) Prec@1 68.750 (60.058) Prec@5 85.156 (81.584) Epoch: [56][2620/10010] Time 0.317 (0.326) Data 0.000 (0.002) Loss 1.4825 (1.7468) Prec@1 61.719 (60.057) Prec@5 84.375 (81.587) Epoch: [56][2630/10010] Time 0.331 (0.326) Data 0.001 (0.002) Loss 1.6737 (1.7467) Prec@1 62.500 (60.059) Prec@5 78.906 (81.585) Epoch: [56][2640/10010] Time 0.318 (0.326) Data 0.001 (0.002) Loss 1.7190 (1.7466) Prec@1 58.594 (60.060) Prec@5 85.156 (81.586) Epoch: [56][2650/10010] Time 0.325 (0.326) Data 0.001 (0.002) Loss 2.0159 (1.7468) Prec@1 53.125 (60.055) Prec@5 81.250 (81.583) Epoch: [56][2660/10010] Time 0.316 (0.326) Data 0.001 (0.002) Loss 1.6536 (1.7468) Prec@1 65.625 (60.054) Prec@5 80.469 (81.581) Epoch: [56][2670/10010] Time 0.332 (0.326) Data 0.000 (0.002) Loss 1.6460 (1.7467) Prec@1 60.156 (60.052) Prec@5 82.812 (81.583) Epoch: [56][2680/10010] Time 0.327 (0.326) Data 0.000 (0.002) Loss 1.7688 (1.7469) Prec@1 57.812 (60.050) Prec@5 79.688 (81.577) Epoch: [56][2690/10010] Time 0.336 (0.326) Data 0.000 (0.002) Loss 1.5488 (1.7470) Prec@1 61.719 (60.053) Prec@5 85.938 (81.573) Epoch: [56][2700/10010] Time 0.331 (0.326) Data 0.000 (0.002) Loss 1.8973 (1.7468) Prec@1 64.062 (60.063) Prec@5 83.594 (81.576) Epoch: [56][2710/10010] Time 0.336 (0.326) Data 0.000 (0.002) Loss 1.9005 (1.7468) Prec@1 55.469 (60.062) Prec@5 82.031 (81.577) Epoch: [56][2720/10010] Time 0.322 (0.326) Data 0.001 (0.002) Loss 1.8168 (1.7468) Prec@1 63.281 (60.062) Prec@5 82.031 (81.576) Epoch: [56][2730/10010] Time 0.337 (0.326) Data 0.001 (0.002) Loss 1.7883 (1.7467) Prec@1 64.062 (60.067) Prec@5 79.688 (81.574) Epoch: [56][2740/10010] Time 0.324 (0.326) Data 0.001 (0.002) Loss 1.7591 (1.7466) Prec@1 58.594 (60.070) Prec@5 80.469 (81.577) Epoch: [56][2750/10010] Time 0.339 (0.326) Data 0.001 (0.002) Loss 1.8506 (1.7466) Prec@1 59.375 (60.072) Prec@5 79.688 (81.577) Epoch: [56][2760/10010] Time 0.321 (0.326) Data 0.000 (0.002) Loss 1.6621 (1.7466) Prec@1 67.188 (60.073) Prec@5 82.031 (81.576) Epoch: [56][2770/10010] Time 0.336 (0.326) Data 0.001 (0.002) Loss 1.8743 (1.7468) Prec@1 58.594 (60.073) Prec@5 80.469 (81.575) Epoch: [56][2780/10010] Time 0.322 (0.326) Data 0.001 (0.002) Loss 1.8416 (1.7467) Prec@1 59.375 (60.075) Prec@5 76.562 (81.580) Epoch: [56][2790/10010] Time 0.337 (0.326) Data 0.001 (0.002) Loss 1.7354 (1.7462) Prec@1 61.719 (60.085) Prec@5 82.031 (81.589) Epoch: [56][2800/10010] Time 0.330 (0.326) Data 0.000 (0.002) Loss 1.7986 (1.7466) Prec@1 60.938 (60.084) Prec@5 83.594 (81.583) Epoch: [56][2810/10010] Time 0.341 (0.326) Data 0.000 (0.002) Loss 1.5933 (1.7461) Prec@1 59.375 (60.094) Prec@5 85.156 (81.591) Epoch: [56][2820/10010] Time 0.321 (0.326) Data 0.001 (0.002) Loss 1.6063 (1.7463) Prec@1 64.844 (60.091) Prec@5 83.594 (81.587) Epoch: [56][2830/10010] Time 0.335 (0.326) Data 0.000 (0.002) Loss 1.5347 (1.7461) Prec@1 59.375 (60.092) Prec@5 85.156 (81.591) Epoch: [56][2840/10010] Time 0.319 (0.326) Data 0.001 (0.001) Loss 2.0489 (1.7462) Prec@1 53.125 (60.090) Prec@5 75.000 (81.593) Epoch: [56][2850/10010] Time 0.328 (0.326) Data 0.001 (0.001) Loss 1.6761 (1.7464) Prec@1 60.938 (60.080) Prec@5 85.938 (81.591) Epoch: [56][2860/10010] Time 0.322 (0.326) Data 0.000 (0.001) Loss 1.5309 (1.7464) Prec@1 67.188 (60.085) Prec@5 84.375 (81.587) Epoch: [56][2870/10010] Time 0.311 (0.326) Data 0.001 (0.001) Loss 1.7764 (1.7465) Prec@1 57.031 (60.090) Prec@5 85.938 (81.585) Epoch: [56][2880/10010] Time 0.318 (0.326) Data 0.001 (0.001) Loss 1.7110 (1.7464) Prec@1 64.062 (60.093) Prec@5 79.688 (81.583) Epoch: [56][2890/10010] Time 0.322 (0.326) Data 0.000 (0.001) Loss 1.9394 (1.7464) Prec@1 58.594 (60.087) Prec@5 77.344 (81.581) Epoch: [56][2900/10010] Time 0.330 (0.326) Data 0.001 (0.001) Loss 1.9022 (1.7462) Prec@1 58.594 (60.086) Prec@5 78.125 (81.587) Epoch: [56][2910/10010] Time 0.314 (0.326) Data 0.001 (0.001) Loss 1.4605 (1.7458) Prec@1 64.062 (60.094) Prec@5 87.500 (81.591) Epoch: [56][2920/10010] Time 0.333 (0.326) Data 0.001 (0.001) Loss 1.6537 (1.7458) Prec@1 66.406 (60.097) Prec@5 84.375 (81.592) Epoch: [56][2930/10010] Time 0.338 (0.326) Data 0.003 (0.001) Loss 2.1629 (1.7460) Prec@1 51.562 (60.095) Prec@5 76.562 (81.586) Epoch: [56][2940/10010] Time 0.336 (0.326) Data 0.001 (0.001) Loss 1.5987 (1.7458) Prec@1 66.406 (60.094) Prec@5 85.938 (81.588) Epoch: [56][2950/10010] Time 0.318 (0.326) Data 0.001 (0.001) Loss 1.6197 (1.7459) Prec@1 62.500 (60.088) Prec@5 83.594 (81.588) Epoch: [56][2960/10010] Time 0.328 (0.326) Data 0.001 (0.001) Loss 1.8523 (1.7456) Prec@1 57.031 (60.091) Prec@5 77.344 (81.592) Epoch: [56][2970/10010] Time 0.316 (0.326) Data 0.000 (0.001) Loss 1.5786 (1.7457) Prec@1 62.500 (60.093) Prec@5 85.156 (81.591) Epoch: [56][2980/10010] Time 0.320 (0.326) Data 0.001 (0.001) Loss 1.6729 (1.7458) Prec@1 65.625 (60.090) Prec@5 81.250 (81.589) Epoch: [56][2990/10010] Time 0.317 (0.326) Data 0.001 (0.001) Loss 1.9086 (1.7457) Prec@1 56.250 (60.094) Prec@5 79.688 (81.592) Epoch: [56][3000/10010] Time 0.324 (0.326) Data 0.000 (0.001) Loss 2.3514 (1.7459) Prec@1 47.656 (60.090) Prec@5 74.219 (81.592) Epoch: [56][3010/10010] Time 0.319 (0.326) Data 0.001 (0.001) Loss 1.7235 (1.7459) Prec@1 60.938 (60.092) Prec@5 82.812 (81.594) Epoch: [56][3020/10010] Time 0.313 (0.326) Data 0.000 (0.001) Loss 1.5898 (1.7461) Prec@1 68.750 (60.089) Prec@5 82.812 (81.592) Epoch: [56][3030/10010] Time 0.330 (0.326) Data 0.001 (0.001) Loss 1.7636 (1.7459) Prec@1 60.156 (60.095) Prec@5 80.469 (81.595) Epoch: [56][3040/10010] Time 0.320 (0.326) Data 0.001 (0.001) Loss 1.8120 (1.7459) Prec@1 57.031 (60.094) Prec@5 77.344 (81.597) Epoch: [56][3050/10010] Time 0.335 (0.326) Data 0.001 (0.001) Loss 1.7282 (1.7459) Prec@1 66.406 (60.093) Prec@5 82.031 (81.595) Epoch: [56][3060/10010] Time 0.336 (0.326) Data 0.001 (0.001) Loss 1.8472 (1.7461) Prec@1 55.469 (60.092) Prec@5 78.125 (81.591) Epoch: [56][3070/10010] Time 0.322 (0.326) Data 0.001 (0.001) Loss 2.0017 (1.7462) Prec@1 53.906 (60.094) Prec@5 81.250 (81.592) Epoch: [56][3080/10010] Time 0.335 (0.326) Data 0.001 (0.001) Loss 1.7880 (1.7464) Prec@1 59.375 (60.088) Prec@5 78.906 (81.590) Epoch: [56][3090/10010] Time 0.332 (0.326) Data 0.001 (0.001) Loss 1.7235 (1.7467) Prec@1 64.062 (60.083) Prec@5 81.250 (81.585) Epoch: [56][3100/10010] Time 0.314 (0.326) Data 0.001 (0.001) Loss 1.4420 (1.7464) Prec@1 61.719 (60.085) Prec@5 86.719 (81.589) Epoch: [56][3110/10010] Time 0.327 (0.326) Data 0.001 (0.001) Loss 1.6314 (1.7462) Prec@1 63.281 (60.090) Prec@5 82.812 (81.591) Epoch: [56][3120/10010] Time 0.333 (0.326) Data 0.000 (0.001) Loss 1.7543 (1.7466) Prec@1 57.812 (60.082) Prec@5 82.031 (81.586) Epoch: [56][3130/10010] Time 0.338 (0.326) Data 0.000 (0.001) Loss 1.5685 (1.7466) Prec@1 60.156 (60.082) Prec@5 83.594 (81.587) Epoch: [56][3140/10010] Time 0.337 (0.326) Data 0.000 (0.001) Loss 2.2596 (1.7467) Prec@1 52.344 (60.079) Prec@5 73.438 (81.582) Epoch: [56][3150/10010] Time 0.324 (0.326) Data 0.000 (0.001) Loss 1.8753 (1.7466) Prec@1 57.031 (60.080) Prec@5 83.594 (81.584) Epoch: [56][3160/10010] Time 0.342 (0.326) Data 0.001 (0.001) Loss 1.9613 (1.7467) Prec@1 53.906 (60.082) Prec@5 79.688 (81.583) Epoch: [56][3170/10010] Time 0.336 (0.326) Data 0.001 (0.001) Loss 1.6331 (1.7467) Prec@1 59.375 (60.087) Prec@5 82.812 (81.584) Epoch: [56][3180/10010] Time 0.317 (0.326) Data 0.001 (0.001) Loss 1.8739 (1.7466) Prec@1 60.938 (60.091) Prec@5 82.812 (81.586) Epoch: [56][3190/10010] Time 0.325 (0.326) Data 0.000 (0.001) Loss 1.9406 (1.7469) Prec@1 57.031 (60.086) Prec@5 81.250 (81.585) Epoch: [56][3200/10010] Time 0.344 (0.326) Data 0.000 (0.001) Loss 1.7717 (1.7470) Prec@1 60.156 (60.082) Prec@5 81.250 (81.580) Epoch: [56][3210/10010] Time 0.319 (0.326) Data 0.001 (0.001) Loss 1.5270 (1.7469) Prec@1 66.406 (60.090) Prec@5 85.156 (81.581) Epoch: [56][3220/10010] Time 0.311 (0.326) Data 0.001 (0.001) Loss 1.8762 (1.7472) Prec@1 57.812 (60.083) Prec@5 81.250 (81.577) Epoch: [56][3230/10010] Time 0.327 (0.326) Data 0.001 (0.001) Loss 1.9785 (1.7474) Prec@1 55.469 (60.078) Prec@5 78.906 (81.575) Epoch: [56][3240/10010] Time 0.320 (0.326) Data 0.001 (0.001) Loss 1.6287 (1.7476) Prec@1 63.281 (60.074) Prec@5 85.156 (81.572) Epoch: [56][3250/10010] Time 0.341 (0.326) Data 0.001 (0.001) Loss 1.7393 (1.7475) Prec@1 62.500 (60.078) Prec@5 82.812 (81.573) Epoch: [56][3260/10010] Time 0.334 (0.326) Data 0.001 (0.001) Loss 1.4731 (1.7471) Prec@1 67.188 (60.084) Prec@5 86.719 (81.579) Epoch: [56][3270/10010] Time 0.313 (0.326) Data 0.000 (0.001) Loss 1.6901 (1.7473) Prec@1 59.375 (60.080) Prec@5 83.594 (81.575) Epoch: [56][3280/10010] Time 0.329 (0.326) Data 0.001 (0.001) Loss 1.9363 (1.7472) Prec@1 57.031 (60.085) Prec@5 80.469 (81.578) Epoch: [56][3290/10010] Time 0.319 (0.326) Data 0.000 (0.001) Loss 1.6815 (1.7472) Prec@1 62.500 (60.083) Prec@5 80.469 (81.577) Epoch: [56][3300/10010] Time 0.317 (0.326) Data 0.001 (0.001) Loss 1.6259 (1.7472) Prec@1 65.625 (60.082) Prec@5 83.594 (81.577) Epoch: [56][3310/10010] Time 0.313 (0.326) Data 0.000 (0.001) Loss 1.9099 (1.7472) Prec@1 59.375 (60.084) Prec@5 83.594 (81.578) Epoch: [56][3320/10010] Time 0.328 (0.326) Data 0.001 (0.001) Loss 1.9110 (1.7473) Prec@1 64.062 (60.082) Prec@5 82.812 (81.580) Epoch: [56][3330/10010] Time 0.318 (0.326) Data 0.000 (0.001) Loss 2.1485 (1.7473) Prec@1 56.250 (60.085) Prec@5 75.781 (81.580) Epoch: [56][3340/10010] Time 0.319 (0.326) Data 0.000 (0.001) Loss 1.7852 (1.7475) Prec@1 60.938 (60.082) Prec@5 81.250 (81.579) Epoch: [56][3350/10010] Time 0.319 (0.326) Data 0.000 (0.001) Loss 1.8322 (1.7475) Prec@1 64.062 (60.082) Prec@5 79.688 (81.574) Epoch: [56][3360/10010] Time 0.318 (0.326) Data 0.000 (0.001) Loss 2.1334 (1.7477) Prec@1 45.312 (60.079) Prec@5 78.125 (81.574) Epoch: [56][3370/10010] Time 0.319 (0.326) Data 0.001 (0.001) Loss 1.7021 (1.7478) Prec@1 58.594 (60.072) Prec@5 82.031 (81.572) Epoch: [56][3380/10010] Time 0.325 (0.326) Data 0.001 (0.001) Loss 1.5591 (1.7478) Prec@1 59.375 (60.070) Prec@5 85.938 (81.571) Epoch: [56][3390/10010] Time 0.321 (0.326) Data 0.001 (0.001) Loss 1.7259 (1.7480) Prec@1 57.031 (60.068) Prec@5 82.031 (81.569) Epoch: [56][3400/10010] Time 0.315 (0.326) Data 0.001 (0.001) Loss 1.9071 (1.7478) Prec@1 54.688 (60.066) Prec@5 78.125 (81.574) Epoch: [56][3410/10010] Time 0.320 (0.326) Data 0.000 (0.001) Loss 1.4881 (1.7475) Prec@1 64.844 (60.073) Prec@5 89.062 (81.578) Epoch: [56][3420/10010] Time 0.334 (0.326) Data 0.001 (0.001) Loss 1.6008 (1.7475) Prec@1 60.156 (60.076) Prec@5 88.281 (81.579) Epoch: [56][3430/10010] Time 0.328 (0.326) Data 0.000 (0.001) Loss 1.7227 (1.7476) Prec@1 60.938 (60.075) Prec@5 81.250 (81.579) Epoch: [56][3440/10010] Time 0.327 (0.326) Data 0.000 (0.001) Loss 1.6511 (1.7477) Prec@1 63.281 (60.072) Prec@5 80.469 (81.578) Epoch: [56][3450/10010] Time 0.329 (0.326) Data 0.001 (0.001) Loss 1.6104 (1.7478) Prec@1 64.062 (60.069) Prec@5 89.062 (81.581) Epoch: [56][3460/10010] Time 0.318 (0.326) Data 0.001 (0.001) Loss 2.0403 (1.7481) Prec@1 55.469 (60.064) Prec@5 78.906 (81.578) Epoch: [56][3470/10010] Time 0.331 (0.326) Data 0.000 (0.001) Loss 1.6775 (1.7483) Prec@1 58.594 (60.057) Prec@5 80.469 (81.574) Epoch: [56][3480/10010] Time 0.318 (0.326) Data 0.001 (0.001) Loss 1.9396 (1.7487) Prec@1 60.156 (60.055) Prec@5 77.344 (81.567) Epoch: [56][3490/10010] Time 0.332 (0.326) Data 0.001 (0.001) Loss 1.8406 (1.7487) Prec@1 53.125 (60.055) Prec@5 77.344 (81.566) Epoch: [56][3500/10010] Time 0.339 (0.326) Data 0.001 (0.001) Loss 1.6532 (1.7487) Prec@1 64.062 (60.055) Prec@5 82.031 (81.566) Epoch: [56][3510/10010] Time 0.335 (0.326) Data 0.000 (0.001) Loss 1.6220 (1.7487) Prec@1 51.562 (60.049) Prec@5 85.156 (81.571) Epoch: [56][3520/10010] Time 0.320 (0.326) Data 0.000 (0.001) Loss 1.4254 (1.7484) Prec@1 64.062 (60.056) Prec@5 85.156 (81.573) Epoch: [56][3530/10010] Time 0.336 (0.326) Data 0.000 (0.001) Loss 1.6577 (1.7483) Prec@1 61.719 (60.060) Prec@5 82.812 (81.577) Epoch: [56][3540/10010] Time 0.335 (0.326) Data 0.001 (0.001) Loss 1.6499 (1.7484) Prec@1 58.594 (60.057) Prec@5 88.281 (81.579) Epoch: [56][3550/10010] Time 0.317 (0.326) Data 0.000 (0.001) Loss 1.7639 (1.7488) Prec@1 57.031 (60.049) Prec@5 83.594 (81.574) Epoch: [56][3560/10010] Time 0.341 (0.326) Data 0.001 (0.001) Loss 2.0267 (1.7492) Prec@1 57.812 (60.044) Prec@5 78.906 (81.569) Epoch: [56][3570/10010] Time 0.313 (0.326) Data 0.001 (0.001) Loss 1.7575 (1.7489) Prec@1 59.375 (60.050) Prec@5 79.688 (81.574) Epoch: [56][3580/10010] Time 0.336 (0.326) Data 0.001 (0.001) Loss 1.7950 (1.7485) Prec@1 57.812 (60.059) Prec@5 80.469 (81.583) Epoch: [56][3590/10010] Time 0.319 (0.326) Data 0.001 (0.001) Loss 2.0265 (1.7484) Prec@1 61.719 (60.062) Prec@5 78.906 (81.585) Epoch: [56][3600/10010] Time 0.330 (0.326) Data 0.001 (0.001) Loss 2.1844 (1.7487) Prec@1 46.094 (60.053) Prec@5 75.000 (81.578) Epoch: [56][3610/10010] Time 0.315 (0.326) Data 0.000 (0.001) Loss 2.1236 (1.7488) Prec@1 50.000 (60.050) Prec@5 75.781 (81.577) Epoch: [56][3620/10010] Time 0.322 (0.326) Data 0.001 (0.001) Loss 2.0125 (1.7490) Prec@1 54.688 (60.045) Prec@5 76.562 (81.574) Epoch: [56][3630/10010] Time 0.312 (0.326) Data 0.000 (0.001) Loss 2.3520 (1.7494) Prec@1 52.344 (60.040) Prec@5 69.531 (81.569) Epoch: [56][3640/10010] Time 0.334 (0.326) Data 0.000 (0.001) Loss 1.6468 (1.7494) Prec@1 67.969 (60.045) Prec@5 81.250 (81.569) Epoch: [56][3650/10010] Time 0.337 (0.326) Data 0.001 (0.001) Loss 1.7639 (1.7496) Prec@1 58.594 (60.041) Prec@5 82.031 (81.567) Epoch: [56][3660/10010] Time 0.319 (0.326) Data 0.000 (0.001) Loss 1.7365 (1.7495) Prec@1 63.281 (60.041) Prec@5 79.688 (81.565) Epoch: [56][3670/10010] Time 0.338 (0.326) Data 0.000 (0.001) Loss 1.9743 (1.7498) Prec@1 60.938 (60.036) Prec@5 77.344 (81.563) Epoch: [56][3680/10010] Time 0.320 (0.326) Data 0.000 (0.001) Loss 1.6999 (1.7499) Prec@1 62.500 (60.034) Prec@5 79.688 (81.563) Epoch: [56][3690/10010] Time 0.312 (0.326) Data 0.001 (0.001) Loss 1.8531 (1.7503) Prec@1 59.375 (60.024) Prec@5 78.125 (81.560) Epoch: [56][3700/10010] Time 0.333 (0.326) Data 0.001 (0.001) Loss 1.6940 (1.7503) Prec@1 57.031 (60.022) Prec@5 82.812 (81.558) Epoch: [56][3710/10010] Time 0.327 (0.326) Data 0.001 (0.001) Loss 1.6789 (1.7507) Prec@1 57.812 (60.018) Prec@5 80.469 (81.553) Epoch: [56][3720/10010] Time 0.313 (0.326) Data 0.001 (0.001) Loss 2.0091 (1.7508) Prec@1 51.562 (60.019) Prec@5 80.469 (81.554) Epoch: [56][3730/10010] Time 0.338 (0.326) Data 0.000 (0.001) Loss 1.7083 (1.7507) Prec@1 60.156 (60.021) Prec@5 80.469 (81.553) Epoch: [56][3740/10010] Time 0.318 (0.326) Data 0.001 (0.001) Loss 1.5010 (1.7509) Prec@1 67.969 (60.018) Prec@5 82.812 (81.548) Epoch: [56][3750/10010] Time 0.339 (0.326) Data 0.001 (0.001) Loss 1.8451 (1.7508) Prec@1 58.594 (60.014) Prec@5 78.125 (81.551) Epoch: [56][3760/10010] Time 0.313 (0.326) Data 0.001 (0.001) Loss 1.5522 (1.7509) Prec@1 60.156 (60.010) Prec@5 88.281 (81.552) Epoch: [56][3770/10010] Time 0.341 (0.326) Data 0.000 (0.001) Loss 1.6424 (1.7509) Prec@1 56.250 (60.005) Prec@5 85.156 (81.552) Epoch: [56][3780/10010] Time 0.342 (0.326) Data 0.001 (0.001) Loss 1.7748 (1.7511) Prec@1 57.812 (59.998) Prec@5 82.812 (81.550) Epoch: [56][3790/10010] Time 0.340 (0.326) Data 0.000 (0.001) Loss 1.7497 (1.7510) Prec@1 59.375 (59.997) Prec@5 82.031 (81.550) Epoch: [56][3800/10010] Time 0.319 (0.326) Data 0.000 (0.001) Loss 1.5854 (1.7508) Prec@1 64.844 (60.001) Prec@5 82.031 (81.554) Epoch: [56][3810/10010] Time 0.325 (0.326) Data 0.000 (0.001) Loss 1.8771 (1.7505) Prec@1 56.250 (60.010) Prec@5 78.906 (81.558) Epoch: [56][3820/10010] Time 0.327 (0.326) Data 0.000 (0.001) Loss 1.8504 (1.7506) Prec@1 61.719 (60.012) Prec@5 82.812 (81.556) Epoch: [56][3830/10010] Time 0.326 (0.326) Data 0.001 (0.001) Loss 1.8701 (1.7507) Prec@1 58.594 (60.011) Prec@5 81.250 (81.555) Epoch: [56][3840/10010] Time 0.314 (0.326) Data 0.001 (0.001) Loss 1.7154 (1.7509) Prec@1 59.375 (60.006) Prec@5 82.812 (81.552) Epoch: [56][3850/10010] Time 0.335 (0.326) Data 0.001 (0.001) Loss 1.2876 (1.7509) Prec@1 65.625 (60.005) Prec@5 87.500 (81.552) Epoch: [56][3860/10010] Time 0.317 (0.326) Data 0.000 (0.001) Loss 1.5444 (1.7508) Prec@1 64.062 (60.008) Prec@5 84.375 (81.554) Epoch: [56][3870/10010] Time 0.327 (0.326) Data 0.001 (0.001) Loss 1.7314 (1.7509) Prec@1 60.938 (60.009) Prec@5 81.250 (81.553) Epoch: [56][3880/10010] Time 0.322 (0.326) Data 0.001 (0.001) Loss 1.7916 (1.7509) Prec@1 57.812 (60.006) Prec@5 82.812 (81.552) Epoch: [56][3890/10010] Time 0.334 (0.326) Data 0.001 (0.001) Loss 1.5504 (1.7512) Prec@1 66.406 (60.000) Prec@5 84.375 (81.546) Epoch: [56][3900/10010] Time 0.334 (0.326) Data 0.000 (0.001) Loss 1.8983 (1.7513) Prec@1 57.031 (60.002) Prec@5 81.250 (81.548) Epoch: [56][3910/10010] Time 0.319 (0.326) Data 0.001 (0.001) Loss 1.7832 (1.7513) Prec@1 53.906 (60.002) Prec@5 76.562 (81.546) Epoch: [56][3920/10010] Time 0.322 (0.326) Data 0.000 (0.001) Loss 1.6806 (1.7514) Prec@1 63.281 (60.002) Prec@5 84.375 (81.545) Epoch: [56][3930/10010] Time 0.309 (0.326) Data 0.001 (0.001) Loss 1.9947 (1.7516) Prec@1 56.250 (59.997) Prec@5 79.688 (81.541) Epoch: [56][3940/10010] Time 0.338 (0.326) Data 0.000 (0.001) Loss 1.9089 (1.7517) Prec@1 60.938 (59.997) Prec@5 78.906 (81.539) Epoch: [56][3950/10010] Time 0.326 (0.326) Data 0.000 (0.001) Loss 2.0207 (1.7518) Prec@1 57.031 (59.996) Prec@5 79.688 (81.536) Epoch: [56][3960/10010] Time 0.326 (0.326) Data 0.000 (0.001) Loss 1.8328 (1.7518) Prec@1 58.594 (59.996) Prec@5 79.688 (81.535) Epoch: [56][3970/10010] Time 0.326 (0.326) Data 0.000 (0.001) Loss 1.9919 (1.7519) Prec@1 55.469 (59.993) Prec@5 81.250 (81.536) Epoch: [56][3980/10010] Time 0.316 (0.326) Data 0.001 (0.001) Loss 1.6258 (1.7518) Prec@1 59.375 (59.995) Prec@5 83.594 (81.534) Epoch: [56][3990/10010] Time 0.332 (0.326) Data 0.001 (0.001) Loss 1.9226 (1.7516) Prec@1 59.375 (59.996) Prec@5 75.781 (81.538) Epoch: [56][4000/10010] Time 0.337 (0.326) Data 0.000 (0.001) Loss 1.4838 (1.7516) Prec@1 64.062 (59.997) Prec@5 85.938 (81.538) Epoch: [56][4010/10010] Time 0.323 (0.326) Data 0.000 (0.001) Loss 1.5913 (1.7517) Prec@1 61.719 (59.998) Prec@5 84.375 (81.539) Epoch: [56][4020/10010] Time 0.338 (0.326) Data 0.001 (0.001) Loss 2.2404 (1.7519) Prec@1 52.344 (59.993) Prec@5 75.000 (81.537) Epoch: [56][4030/10010] Time 0.336 (0.326) Data 0.001 (0.001) Loss 1.7149 (1.7519) Prec@1 65.625 (59.996) Prec@5 83.594 (81.537) Epoch: [56][4040/10010] Time 0.313 (0.326) Data 0.000 (0.001) Loss 1.9065 (1.7519) Prec@1 57.031 (59.996) Prec@5 78.906 (81.537) Epoch: [56][4050/10010] Time 0.323 (0.326) Data 0.000 (0.001) Loss 1.8964 (1.7520) Prec@1 54.688 (59.996) Prec@5 77.344 (81.535) Epoch: [56][4060/10010] Time 0.318 (0.326) Data 0.001 (0.001) Loss 1.6660 (1.7520) Prec@1 60.938 (59.993) Prec@5 84.375 (81.535) Epoch: [56][4070/10010] Time 0.329 (0.326) Data 0.000 (0.001) Loss 1.6873 (1.7523) Prec@1 64.062 (59.994) Prec@5 82.031 (81.532) Epoch: [56][4080/10010] Time 0.322 (0.326) Data 0.000 (0.001) Loss 1.5693 (1.7520) Prec@1 61.719 (59.998) Prec@5 85.156 (81.536) Epoch: [56][4090/10010] Time 0.324 (0.326) Data 0.001 (0.001) Loss 1.7646 (1.7519) Prec@1 55.469 (59.996) Prec@5 81.250 (81.537) Epoch: [56][4100/10010] Time 0.320 (0.326) Data 0.001 (0.001) Loss 1.8401 (1.7518) Prec@1 60.156 (60.001) Prec@5 79.688 (81.539) Epoch: [56][4110/10010] Time 0.332 (0.326) Data 0.001 (0.001) Loss 1.6635 (1.7519) Prec@1 67.188 (60.001) Prec@5 83.594 (81.537) Epoch: [56][4120/10010] Time 0.321 (0.326) Data 0.001 (0.001) Loss 1.7840 (1.7517) Prec@1 55.469 (60.003) Prec@5 80.469 (81.542) Epoch: [56][4130/10010] Time 0.335 (0.326) Data 0.001 (0.001) Loss 1.7354 (1.7518) Prec@1 64.844 (59.999) Prec@5 81.250 (81.539) Epoch: [56][4140/10010] Time 0.325 (0.326) Data 0.001 (0.001) Loss 1.5292 (1.7517) Prec@1 67.188 (60.002) Prec@5 86.719 (81.545) Epoch: [56][4150/10010] Time 0.322 (0.326) Data 0.001 (0.001) Loss 1.9184 (1.7517) Prec@1 54.688 (60.003) Prec@5 80.469 (81.546) Epoch: [56][4160/10010] Time 0.308 (0.326) Data 0.001 (0.001) Loss 1.8378 (1.7517) Prec@1 59.375 (60.005) Prec@5 83.594 (81.546) Epoch: [56][4170/10010] Time 0.316 (0.326) Data 0.001 (0.001) Loss 1.9803 (1.7520) Prec@1 53.125 (60.001) Prec@5 75.781 (81.541) Epoch: [56][4180/10010] Time 0.335 (0.326) Data 0.001 (0.001) Loss 1.6822 (1.7520) Prec@1 55.469 (60.003) Prec@5 83.594 (81.543) Epoch: [56][4190/10010] Time 0.315 (0.326) Data 0.000 (0.001) Loss 1.8653 (1.7522) Prec@1 58.594 (60.000) Prec@5 79.688 (81.539) Epoch: [56][4200/10010] Time 0.332 (0.326) Data 0.001 (0.001) Loss 1.6562 (1.7525) Prec@1 60.938 (59.994) Prec@5 82.812 (81.534) Epoch: [56][4210/10010] Time 0.333 (0.326) Data 0.000 (0.001) Loss 1.8518 (1.7525) Prec@1 54.688 (59.992) Prec@5 81.250 (81.534) Epoch: [56][4220/10010] Time 0.321 (0.326) Data 0.000 (0.001) Loss 1.5564 (1.7526) Prec@1 62.500 (59.985) Prec@5 82.812 (81.533) Epoch: [56][4230/10010] Time 0.334 (0.326) Data 0.000 (0.001) Loss 1.7274 (1.7526) Prec@1 60.156 (59.993) Prec@5 85.156 (81.534) Epoch: [56][4240/10010] Time 0.333 (0.326) Data 0.001 (0.001) Loss 1.7230 (1.7527) Prec@1 61.719 (59.988) Prec@5 85.938 (81.534) Epoch: [56][4250/10010] Time 0.319 (0.326) Data 0.001 (0.001) Loss 1.6971 (1.7527) Prec@1 60.938 (59.987) Prec@5 80.469 (81.534) Epoch: [56][4260/10010] Time 0.319 (0.326) Data 0.001 (0.001) Loss 1.9669 (1.7525) Prec@1 55.469 (59.990) Prec@5 75.781 (81.537) Epoch: [56][4270/10010] Time 0.324 (0.326) Data 0.000 (0.001) Loss 1.4900 (1.7524) Prec@1 66.406 (59.987) Prec@5 85.938 (81.540) Epoch: [56][4280/10010] Time 0.339 (0.326) Data 0.001 (0.001) Loss 1.8717 (1.7526) Prec@1 58.594 (59.979) Prec@5 82.812 (81.538) Epoch: [56][4290/10010] Time 0.332 (0.326) Data 0.001 (0.001) Loss 2.0467 (1.7528) Prec@1 53.906 (59.979) Prec@5 78.906 (81.535) Epoch: [56][4300/10010] Time 0.336 (0.326) Data 0.000 (0.001) Loss 1.3415 (1.7525) Prec@1 68.750 (59.983) Prec@5 89.062 (81.539) Epoch: [56][4310/10010] Time 0.338 (0.326) Data 0.001 (0.001) Loss 1.7766 (1.7526) Prec@1 60.156 (59.980) Prec@5 81.250 (81.540) Epoch: [56][4320/10010] Time 0.318 (0.326) Data 0.000 (0.001) Loss 1.5484 (1.7527) Prec@1 62.500 (59.980) Prec@5 83.594 (81.539) Epoch: [56][4330/10010] Time 0.322 (0.326) Data 0.001 (0.001) Loss 1.8371 (1.7527) Prec@1 57.812 (59.979) Prec@5 78.906 (81.538) Epoch: [56][4340/10010] Time 0.325 (0.326) Data 0.001 (0.001) Loss 1.9874 (1.7527) Prec@1 57.812 (59.979) Prec@5 75.000 (81.540) Epoch: [56][4350/10010] Time 0.329 (0.326) Data 0.001 (0.001) Loss 1.7905 (1.7527) Prec@1 61.719 (59.977) Prec@5 78.906 (81.538) Epoch: [56][4360/10010] Time 0.337 (0.326) Data 0.000 (0.001) Loss 1.4317 (1.7527) Prec@1 65.625 (59.979) Prec@5 84.375 (81.536) Epoch: [56][4370/10010] Time 0.322 (0.326) Data 0.000 (0.001) Loss 1.9353 (1.7528) Prec@1 57.031 (59.978) Prec@5 78.125 (81.534) Epoch: [56][4380/10010] Time 0.336 (0.326) Data 0.001 (0.001) Loss 1.5585 (1.7528) Prec@1 67.188 (59.981) Prec@5 83.594 (81.535) Epoch: [56][4390/10010] Time 0.333 (0.326) Data 0.001 (0.001) Loss 2.1165 (1.7526) Prec@1 52.344 (59.982) Prec@5 76.562 (81.539) Epoch: [56][4400/10010] Time 0.316 (0.326) Data 0.001 (0.001) Loss 1.8695 (1.7526) Prec@1 59.375 (59.984) Prec@5 78.906 (81.540) Epoch: [56][4410/10010] Time 0.324 (0.326) Data 0.001 (0.001) Loss 1.7194 (1.7526) Prec@1 63.281 (59.986) Prec@5 84.375 (81.541) Epoch: [56][4420/10010] Time 0.320 (0.326) Data 0.000 (0.001) Loss 1.8655 (1.7524) Prec@1 59.375 (59.985) Prec@5 81.250 (81.545) Epoch: [56][4430/10010] Time 0.321 (0.326) Data 0.001 (0.001) Loss 1.6327 (1.7527) Prec@1 63.281 (59.978) Prec@5 80.469 (81.541) Epoch: [56][4440/10010] Time 0.315 (0.326) Data 0.001 (0.001) Loss 1.6576 (1.7528) Prec@1 62.500 (59.974) Prec@5 83.594 (81.541) Epoch: [56][4450/10010] Time 0.340 (0.326) Data 0.000 (0.001) Loss 1.8875 (1.7528) Prec@1 55.469 (59.969) Prec@5 78.125 (81.540) Epoch: [56][4460/10010] Time 0.330 (0.326) Data 0.001 (0.001) Loss 2.0444 (1.7529) Prec@1 57.812 (59.969) Prec@5 74.219 (81.540) Epoch: [56][4470/10010] Time 0.313 (0.326) Data 0.001 (0.001) Loss 1.8723 (1.7531) Prec@1 58.594 (59.965) Prec@5 80.469 (81.538) Epoch: [56][4480/10010] Time 0.327 (0.326) Data 0.001 (0.001) Loss 1.7124 (1.7531) Prec@1 58.594 (59.963) Prec@5 79.688 (81.535) Epoch: [56][4490/10010] Time 0.339 (0.326) Data 0.000 (0.001) Loss 1.9855 (1.7531) Prec@1 57.031 (59.961) Prec@5 78.125 (81.535) Epoch: [56][4500/10010] Time 0.341 (0.326) Data 0.000 (0.001) Loss 1.4343 (1.7529) Prec@1 65.625 (59.964) Prec@5 89.062 (81.541) Epoch: [56][4510/10010] Time 0.313 (0.326) Data 0.001 (0.001) Loss 1.5470 (1.7529) Prec@1 60.938 (59.963) Prec@5 84.375 (81.541) Epoch: [56][4520/10010] Time 0.338 (0.326) Data 0.000 (0.001) Loss 1.6622 (1.7528) Prec@1 59.375 (59.965) Prec@5 82.031 (81.541) Epoch: [56][4530/10010] Time 0.322 (0.326) Data 0.000 (0.001) Loss 1.4988 (1.7527) Prec@1 59.375 (59.964) Prec@5 88.281 (81.545) Epoch: [56][4540/10010] Time 0.333 (0.326) Data 0.000 (0.001) Loss 1.6507 (1.7527) Prec@1 64.062 (59.964) Prec@5 80.469 (81.545) Epoch: [56][4550/10010] Time 0.320 (0.326) Data 0.001 (0.001) Loss 1.8728 (1.7528) Prec@1 54.688 (59.961) Prec@5 82.031 (81.544) Epoch: [56][4560/10010] Time 0.339 (0.326) Data 0.001 (0.001) Loss 2.1143 (1.7527) Prec@1 55.469 (59.964) Prec@5 75.781 (81.543) Epoch: [56][4570/10010] Time 0.339 (0.326) Data 0.001 (0.001) Loss 1.8968 (1.7529) Prec@1 57.031 (59.963) Prec@5 79.688 (81.545) Epoch: [56][4580/10010] Time 0.314 (0.326) Data 0.000 (0.001) Loss 1.7823 (1.7529) Prec@1 60.938 (59.962) Prec@5 82.812 (81.545) Epoch: [56][4590/10010] Time 0.316 (0.326) Data 0.001 (0.001) Loss 1.8198 (1.7528) Prec@1 58.594 (59.962) Prec@5 80.469 (81.546) Epoch: [56][4600/10010] Time 0.313 (0.326) Data 0.001 (0.001) Loss 1.7334 (1.7529) Prec@1 58.594 (59.958) Prec@5 84.375 (81.544) Epoch: [56][4610/10010] Time 0.329 (0.326) Data 0.001 (0.001) Loss 1.7266 (1.7530) Prec@1 60.938 (59.958) Prec@5 82.031 (81.542) Epoch: [56][4620/10010] Time 0.319 (0.326) Data 0.001 (0.001) Loss 1.9607 (1.7530) Prec@1 55.469 (59.957) Prec@5 80.469 (81.542) Epoch: [56][4630/10010] Time 0.317 (0.326) Data 0.001 (0.001) Loss 1.8345 (1.7531) Prec@1 58.594 (59.955) Prec@5 76.562 (81.538) Epoch: [56][4640/10010] Time 0.313 (0.326) Data 0.000 (0.001) Loss 1.7916 (1.7532) Prec@1 62.500 (59.954) Prec@5 82.031 (81.538) Epoch: [56][4650/10010] Time 0.322 (0.326) Data 0.001 (0.001) Loss 2.0237 (1.7531) Prec@1 60.156 (59.953) Prec@5 77.344 (81.538) Epoch: [56][4660/10010] Time 0.341 (0.326) Data 0.001 (0.001) Loss 1.9234 (1.7533) Prec@1 56.250 (59.951) Prec@5 79.688 (81.538) Epoch: [56][4670/10010] Time 0.323 (0.326) Data 0.001 (0.001) Loss 1.6073 (1.7533) Prec@1 62.500 (59.953) Prec@5 82.031 (81.535) Epoch: [56][4680/10010] Time 0.326 (0.326) Data 0.001 (0.001) Loss 1.7898 (1.7533) Prec@1 52.344 (59.948) Prec@5 84.375 (81.534) Epoch: [56][4690/10010] Time 0.316 (0.326) Data 0.001 (0.001) Loss 1.7888 (1.7534) Prec@1 57.812 (59.946) Prec@5 79.688 (81.536) Epoch: [56][4700/10010] Time 0.314 (0.326) Data 0.000 (0.001) Loss 1.8635 (1.7534) Prec@1 60.156 (59.942) Prec@5 79.688 (81.534) Epoch: [56][4710/10010] Time 0.330 (0.326) Data 0.001 (0.001) Loss 1.7202 (1.7535) Prec@1 61.719 (59.940) Prec@5 84.375 (81.532) Epoch: [56][4720/10010] Time 0.320 (0.326) Data 0.001 (0.001) Loss 1.4901 (1.7534) Prec@1 65.625 (59.945) Prec@5 82.031 (81.532) Epoch: [56][4730/10010] Time 0.336 (0.326) Data 0.001 (0.001) Loss 1.3214 (1.7534) Prec@1 72.656 (59.945) Prec@5 86.719 (81.532) /data/vision/torralba/deepscene/lib/anaconda2/lib/python2.7/site-packages/PIL/TiffImagePlugin.py:692: UserWarning: Possibly corrupt EXIF data. Expecting to read 2555904 bytes but only got 0. Skipping tag 0 "Skipping tag %s" % (size, len(data), tag)) Epoch: [56][4740/10010] Time 0.322 (0.326) Data 0.001 (0.001) Loss 1.6413 (1.7534) Prec@1 61.719 (59.946) Prec@5 85.156 (81.533) Epoch: [56][4750/10010] Time 0.335 (0.326) Data 0.001 (0.001) Loss 1.8013 (1.7533) Prec@1 56.250 (59.949) Prec@5 82.031 (81.534) Epoch: [56][4760/10010] Time 0.342 (0.326) Data 0.000 (0.001) Loss 2.0084 (1.7533) Prec@1 56.250 (59.951) Prec@5 78.906 (81.534) Epoch: [56][4770/10010] Time 0.337 (0.326) Data 0.001 (0.001) Loss 1.8137 (1.7533) Prec@1 60.938 (59.952) Prec@5 80.469 (81.535) Epoch: [56][4780/10010] Time 0.335 (0.326) Data 0.001 (0.001) Loss 1.6256 (1.7533) Prec@1 63.281 (59.954) Prec@5 83.594 (81.534) Epoch: [56][4790/10010] Time 0.313 (0.326) Data 0.001 (0.001) Loss 1.6536 (1.7532) Prec@1 63.281 (59.953) Prec@5 79.688 (81.536) Epoch: [56][4800/10010] Time 0.339 (0.326) Data 0.000 (0.001) Loss 1.2802 (1.7531) Prec@1 67.188 (59.956) Prec@5 90.625 (81.538) Epoch: [56][4810/10010] Time 0.326 (0.326) Data 0.001 (0.001) Loss 1.8828 (1.7533) Prec@1 58.594 (59.956) Prec@5 77.344 (81.533) Epoch: [56][4820/10010] Time 0.331 (0.326) Data 0.000 (0.001) Loss 1.7117 (1.7533) Prec@1 60.156 (59.958) Prec@5 82.031 (81.533) Epoch: [56][4830/10010] Time 0.336 (0.326) Data 0.001 (0.001) Loss 1.5876 (1.7530) Prec@1 62.500 (59.961) Prec@5 84.375 (81.537) Epoch: [56][4840/10010] Time 0.320 (0.326) Data 0.000 (0.001) Loss 2.0208 (1.7532) Prec@1 53.906 (59.954) Prec@5 81.250 (81.535) Epoch: [56][4850/10010] Time 0.327 (0.326) Data 0.001 (0.001) Loss 1.7728 (1.7532) Prec@1 56.250 (59.953) Prec@5 82.031 (81.536) Epoch: [56][4860/10010] Time 0.337 (0.326) Data 0.001 (0.001) Loss 1.7986 (1.7533) Prec@1 55.469 (59.952) Prec@5 81.250 (81.535) Epoch: [56][4870/10010] Time 0.340 (0.326) Data 0.000 (0.001) Loss 1.5314 (1.7532) Prec@1 60.938 (59.953) Prec@5 84.375 (81.537) Epoch: [56][4880/10010] Time 0.319 (0.326) Data 0.000 (0.001) Loss 1.7468 (1.7533) Prec@1 62.500 (59.952) Prec@5 82.812 (81.536) Epoch: [56][4890/10010] Time 0.329 (0.326) Data 0.001 (0.001) Loss 1.6581 (1.7534) Prec@1 64.062 (59.949) Prec@5 78.906 (81.534) Epoch: [56][4900/10010] Time 0.315 (0.326) Data 0.001 (0.001) Loss 2.0437 (1.7533) Prec@1 50.781 (59.952) Prec@5 75.000 (81.534) Epoch: [56][4910/10010] Time 0.318 (0.326) Data 0.000 (0.001) Loss 1.5851 (1.7535) Prec@1 61.719 (59.945) Prec@5 87.500 (81.531) Epoch: [56][4920/10010] Time 0.328 (0.326) Data 0.000 (0.001) Loss 1.7054 (1.7535) Prec@1 59.375 (59.942) Prec@5 79.688 (81.532) Epoch: [56][4930/10010] Time 0.340 (0.326) Data 0.001 (0.001) Loss 1.6210 (1.7536) Prec@1 60.156 (59.941) Prec@5 80.469 (81.529) Epoch: [56][4940/10010] Time 0.320 (0.326) Data 0.001 (0.001) Loss 1.8621 (1.7536) Prec@1 57.812 (59.942) Prec@5 79.688 (81.530) Epoch: [56][4950/10010] Time 0.317 (0.326) Data 0.001 (0.001) Loss 1.5348 (1.7536) Prec@1 63.281 (59.943) Prec@5 86.719 (81.529) Epoch: [56][4960/10010] Time 0.335 (0.326) Data 0.001 (0.001) Loss 1.8723 (1.7538) Prec@1 61.719 (59.941) Prec@5 79.688 (81.526) Epoch: [56][4970/10010] Time 0.320 (0.326) Data 0.001 (0.001) Loss 1.7830 (1.7538) Prec@1 58.594 (59.941) Prec@5 79.688 (81.525) Epoch: [56][4980/10010] Time 0.320 (0.326) Data 0.001 (0.001) Loss 1.6576 (1.7539) Prec@1 64.062 (59.940) Prec@5 85.156 (81.525) Epoch: [56][4990/10010] Time 0.317 (0.326) Data 0.001 (0.001) Loss 1.9892 (1.7540) Prec@1 58.594 (59.939) Prec@5 75.000 (81.524) Epoch: [56][5000/10010] Time 0.323 (0.326) Data 0.000 (0.001) Loss 1.6741 (1.7540) Prec@1 53.125 (59.938) Prec@5 83.594 (81.523) Epoch: [56][5010/10010] Time 0.330 (0.326) Data 0.001 (0.001) Loss 1.4795 (1.7540) Prec@1 68.750 (59.939) Prec@5 83.594 (81.523) Epoch: [56][5020/10010] Time 0.326 (0.326) Data 0.000 (0.001) Loss 1.8745 (1.7539) Prec@1 56.250 (59.938) Prec@5 81.250 (81.524) Epoch: [56][5030/10010] Time 0.317 (0.326) Data 0.000 (0.001) Loss 1.6837 (1.7539) Prec@1 63.281 (59.943) Prec@5 83.594 (81.524) Epoch: [56][5040/10010] Time 0.332 (0.326) Data 0.001 (0.001) Loss 1.6625 (1.7540) Prec@1 61.719 (59.943) Prec@5 81.250 (81.522) Epoch: [56][5050/10010] Time 0.327 (0.326) Data 0.000 (0.001) Loss 1.7352 (1.7539) Prec@1 61.719 (59.942) Prec@5 82.031 (81.523) Epoch: [56][5060/10010] Time 0.316 (0.326) Data 0.001 (0.001) Loss 1.8529 (1.7541) Prec@1 55.469 (59.939) Prec@5 79.688 (81.519) Epoch: [56][5070/10010] Time 0.339 (0.326) Data 0.001 (0.001) Loss 1.6658 (1.7542) Prec@1 60.938 (59.941) Prec@5 80.469 (81.518) Epoch: [56][5080/10010] Time 0.319 (0.326) Data 0.000 (0.001) Loss 1.7480 (1.7541) Prec@1 60.156 (59.941) Prec@5 82.031 (81.520) Epoch: [56][5090/10010] Time 0.331 (0.326) Data 0.000 (0.001) Loss 1.7956 (1.7542) Prec@1 58.594 (59.940) Prec@5 86.719 (81.520) Epoch: [56][5100/10010] Time 0.321 (0.326) Data 0.001 (0.001) Loss 1.5319 (1.7541) Prec@1 64.062 (59.944) Prec@5 83.594 (81.520) Epoch: [56][5110/10010] Time 0.337 (0.326) Data 0.001 (0.001) Loss 1.6514 (1.7540) Prec@1 59.375 (59.946) Prec@5 79.688 (81.521) Epoch: [56][5120/10010] Time 0.323 (0.326) Data 0.000 (0.001) Loss 1.5585 (1.7540) Prec@1 70.312 (59.946) Prec@5 82.031 (81.518) Epoch: [56][5130/10010] Time 0.327 (0.326) Data 0.001 (0.001) Loss 1.7160 (1.7541) Prec@1 60.938 (59.945) Prec@5 82.812 (81.516) Epoch: [56][5140/10010] Time 0.311 (0.326) Data 0.001 (0.001) Loss 1.9933 (1.7541) Prec@1 56.250 (59.943) Prec@5 77.344 (81.514) Epoch: [56][5150/10010] Time 0.318 (0.326) Data 0.001 (0.001) Loss 1.6502 (1.7541) Prec@1 57.031 (59.942) Prec@5 84.375 (81.515) Epoch: [56][5160/10010] Time 0.338 (0.326) Data 0.000 (0.001) Loss 1.8916 (1.7543) Prec@1 54.688 (59.938) Prec@5 77.344 (81.512) Epoch: [56][5170/10010] Time 0.325 (0.326) Data 0.000 (0.001) Loss 1.8506 (1.7544) Prec@1 57.031 (59.937) Prec@5 81.250 (81.510) Epoch: [56][5180/10010] Time 0.326 (0.326) Data 0.001 (0.001) Loss 1.7947 (1.7544) Prec@1 59.375 (59.936) Prec@5 78.125 (81.508) Epoch: [56][5190/10010] Time 0.329 (0.326) Data 0.001 (0.001) Loss 1.7930 (1.7545) Prec@1 60.938 (59.934) Prec@5 77.344 (81.506) Epoch: [56][5200/10010] Time 0.314 (0.326) Data 0.001 (0.001) Loss 1.4054 (1.7545) Prec@1 65.625 (59.936) Prec@5 86.719 (81.507) Epoch: [56][5210/10010] Time 0.338 (0.326) Data 0.001 (0.001) Loss 2.1964 (1.7547) Prec@1 53.125 (59.931) Prec@5 73.438 (81.502) Epoch: [56][5220/10010] Time 0.318 (0.326) Data 0.000 (0.001) Loss 1.8284 (1.7548) Prec@1 53.906 (59.927) Prec@5 78.906 (81.502) Epoch: [56][5230/10010] Time 0.318 (0.326) Data 0.000 (0.001) Loss 1.8701 (1.7550) Prec@1 60.938 (59.924) Prec@5 76.562 (81.500) Epoch: [56][5240/10010] Time 0.328 (0.326) Data 0.000 (0.001) Loss 1.6575 (1.7550) Prec@1 66.406 (59.925) Prec@5 81.250 (81.499) Epoch: [56][5250/10010] Time 0.323 (0.326) Data 0.001 (0.001) Loss 1.6938 (1.7549) Prec@1 63.281 (59.927) Prec@5 82.031 (81.500) Epoch: [56][5260/10010] Time 0.321 (0.326) Data 0.001 (0.001) Loss 1.9660 (1.7550) Prec@1 52.344 (59.922) Prec@5 76.562 (81.498) Epoch: [56][5270/10010] Time 0.341 (0.326) Data 0.000 (0.001) Loss 1.9630 (1.7550) Prec@1 56.250 (59.920) Prec@5 82.031 (81.498) Epoch: [56][5280/10010] Time 0.332 (0.326) Data 0.001 (0.001) Loss 1.6746 (1.7551) Prec@1 61.719 (59.920) Prec@5 83.594 (81.496) Epoch: [56][5290/10010] Time 0.317 (0.326) Data 0.001 (0.001) Loss 2.0407 (1.7553) Prec@1 57.812 (59.916) Prec@5 77.344 (81.494) Epoch: [56][5300/10010] Time 0.341 (0.326) Data 0.001 (0.001) Loss 1.7973 (1.7552) Prec@1 57.031 (59.918) Prec@5 78.125 (81.496) Epoch: [56][5310/10010] Time 0.310 (0.326) Data 0.001 (0.001) Loss 1.7310 (1.7553) Prec@1 62.500 (59.916) Prec@5 85.156 (81.494) Epoch: [56][5320/10010] Time 0.323 (0.326) Data 0.001 (0.001) Loss 1.7934 (1.7553) Prec@1 58.594 (59.915) Prec@5 82.031 (81.497) Epoch: [56][5330/10010] Time 0.342 (0.326) Data 0.000 (0.001) Loss 1.8170 (1.7555) Prec@1 60.938 (59.911) Prec@5 79.688 (81.491) Epoch: [56][5340/10010] Time 0.335 (0.326) Data 0.001 (0.001) Loss 1.5626 (1.7558) Prec@1 60.156 (59.906) Prec@5 85.156 (81.488) Epoch: [56][5350/10010] Time 0.321 (0.326) Data 0.001 (0.001) Loss 1.9330 (1.7557) Prec@1 52.344 (59.908) Prec@5 78.125 (81.488) Epoch: [56][5360/10010] Time 0.339 (0.326) Data 0.001 (0.001) Loss 1.6789 (1.7557) Prec@1 60.156 (59.906) Prec@5 83.594 (81.488) Epoch: [56][5370/10010] Time 0.322 (0.326) Data 0.001 (0.001) Loss 1.7259 (1.7556) Prec@1 55.469 (59.906) Prec@5 82.812 (81.487) Epoch: [56][5380/10010] Time 0.342 (0.326) Data 0.000 (0.001) Loss 2.1610 (1.7558) Prec@1 53.125 (59.906) Prec@5 76.562 (81.485) Epoch: [56][5390/10010] Time 0.317 (0.326) Data 0.001 (0.001) Loss 1.4171 (1.7556) Prec@1 64.844 (59.907) Prec@5 85.938 (81.487) Epoch: [56][5400/10010] Time 0.337 (0.326) Data 0.001 (0.001) Loss 1.7851 (1.7555) Prec@1 57.812 (59.909) Prec@5 77.344 (81.487) Epoch: [56][5410/10010] Time 0.338 (0.326) Data 0.001 (0.001) Loss 1.6604 (1.7554) Prec@1 57.812 (59.907) Prec@5 86.719 (81.488) Epoch: [56][5420/10010] Time 0.317 (0.326) Data 0.001 (0.001) Loss 1.6702 (1.7555) Prec@1 58.594 (59.908) Prec@5 85.156 (81.486) Epoch: [56][5430/10010] Time 0.321 (0.326) Data 0.001 (0.001) Loss 2.1263 (1.7556) Prec@1 55.469 (59.906) Prec@5 74.219 (81.487) Epoch: [56][5440/10010] Time 0.320 (0.326) Data 0.001 (0.001) Loss 1.5204 (1.7557) Prec@1 64.062 (59.906) Prec@5 85.938 (81.485) Epoch: [56][5450/10010] Time 0.337 (0.326) Data 0.001 (0.001) Loss 1.6235 (1.7557) Prec@1 63.281 (59.907) Prec@5 84.375 (81.484) Epoch: [56][5460/10010] Time 0.333 (0.326) Data 0.001 (0.001) Loss 1.6405 (1.7558) Prec@1 63.281 (59.903) Prec@5 83.594 (81.485) Epoch: [56][5470/10010] Time 0.337 (0.326) Data 0.000 (0.001) Loss 1.6287 (1.7559) Prec@1 66.406 (59.903) Prec@5 82.812 (81.483) Epoch: [56][5480/10010] Time 0.324 (0.326) Data 0.000 (0.001) Loss 1.9996 (1.7559) Prec@1 52.344 (59.906) Prec@5 78.125 (81.483) Epoch: [56][5490/10010] Time 0.334 (0.326) Data 0.001 (0.001) Loss 1.7246 (1.7558) Prec@1 59.375 (59.905) Prec@5 82.031 (81.483) Epoch: [56][5500/10010] Time 0.322 (0.326) Data 0.001 (0.001) Loss 1.9019 (1.7559) Prec@1 58.594 (59.904) Prec@5 80.469 (81.481) Epoch: [56][5510/10010] Time 0.321 (0.326) Data 0.001 (0.001) Loss 1.7246 (1.7558) Prec@1 53.906 (59.906) Prec@5 81.250 (81.482) Epoch: [56][5520/10010] Time 0.333 (0.326) Data 0.001 (0.001) Loss 1.7577 (1.7558) Prec@1 60.156 (59.905) Prec@5 82.031 (81.482) Epoch: [56][5530/10010] Time 0.320 (0.326) Data 0.001 (0.001) Loss 1.6536 (1.7557) Prec@1 63.281 (59.908) Prec@5 85.156 (81.485) Epoch: [56][5540/10010] Time 0.324 (0.326) Data 0.001 (0.001) Loss 1.7582 (1.7557) Prec@1 57.031 (59.909) Prec@5 82.031 (81.485) Epoch: [56][5550/10010] Time 0.329 (0.326) Data 0.001 (0.001) Loss 1.6633 (1.7558) Prec@1 62.500 (59.906) Prec@5 84.375 (81.484) Epoch: [56][5560/10010] Time 0.336 (0.326) Data 0.001 (0.001) Loss 1.7334 (1.7557) Prec@1 60.938 (59.910) Prec@5 83.594 (81.486) Epoch: [56][5570/10010] Time 0.340 (0.326) Data 0.001 (0.001) Loss 1.8012 (1.7556) Prec@1 59.375 (59.910) Prec@5 81.250 (81.487) Epoch: [56][5580/10010] Time 0.328 (0.326) Data 0.001 (0.001) Loss 1.7656 (1.7554) Prec@1 60.938 (59.913) Prec@5 82.031 (81.489) Epoch: [56][5590/10010] Time 0.319 (0.326) Data 0.000 (0.001) Loss 1.6976 (1.7553) Prec@1 57.812 (59.913) Prec@5 83.594 (81.491) Epoch: [56][5600/10010] Time 0.321 (0.326) Data 0.001 (0.001) Loss 1.9929 (1.7553) Prec@1 57.812 (59.914) Prec@5 78.125 (81.492) Epoch: [56][5610/10010] Time 0.320 (0.326) Data 0.001 (0.001) Loss 1.7633 (1.7553) Prec@1 62.500 (59.911) Prec@5 77.344 (81.490) Epoch: [56][5620/10010] Time 0.334 (0.326) Data 0.001 (0.001) Loss 1.6337 (1.7553) Prec@1 64.844 (59.913) Prec@5 82.812 (81.490) Epoch: [56][5630/10010] Time 0.323 (0.326) Data 0.000 (0.001) Loss 1.6707 (1.7552) Prec@1 60.156 (59.912) Prec@5 83.594 (81.494) Epoch: [56][5640/10010] Time 0.336 (0.326) Data 0.000 (0.001) Loss 1.8484 (1.7552) Prec@1 61.719 (59.911) Prec@5 82.031 (81.496) Epoch: [56][5650/10010] Time 0.321 (0.326) Data 0.001 (0.001) Loss 1.6832 (1.7553) Prec@1 55.469 (59.907) Prec@5 85.938 (81.494) Epoch: [56][5660/10010] Time 0.338 (0.326) Data 0.001 (0.001) Loss 1.9379 (1.7553) Prec@1 54.688 (59.908) Prec@5 78.125 (81.492) Epoch: [56][5670/10010] Time 0.324 (0.326) Data 0.001 (0.001) Loss 1.9851 (1.7552) Prec@1 56.250 (59.910) Prec@5 78.906 (81.494) Epoch: [56][5680/10010] Time 0.338 (0.326) Data 0.001 (0.001) Loss 1.5514 (1.7552) Prec@1 63.281 (59.909) Prec@5 82.812 (81.495) Epoch: [56][5690/10010] Time 0.331 (0.326) Data 0.001 (0.001) Loss 2.0215 (1.7554) Prec@1 54.688 (59.907) Prec@5 75.000 (81.490) Epoch: [56][5700/10010] Time 0.313 (0.326) Data 0.001 (0.001) Loss 1.7684 (1.7554) Prec@1 56.250 (59.906) Prec@5 83.594 (81.489) Epoch: [56][5710/10010] Time 0.312 (0.326) Data 0.001 (0.001) Loss 2.3319 (1.7554) Prec@1 46.875 (59.907) Prec@5 69.531 (81.490) Epoch: [56][5720/10010] Time 0.332 (0.326) Data 0.000 (0.001) Loss 1.7672 (1.7555) Prec@1 64.062 (59.909) Prec@5 80.469 (81.487) Epoch: [56][5730/10010] Time 0.334 (0.326) Data 0.000 (0.001) Loss 1.9688 (1.7556) Prec@1 53.125 (59.906) Prec@5 82.031 (81.486) Epoch: [56][5740/10010] Time 0.339 (0.326) Data 0.002 (0.001) Loss 1.8078 (1.7556) Prec@1 61.719 (59.908) Prec@5 77.344 (81.486) Epoch: [56][5750/10010] Time 0.328 (0.326) Data 0.001 (0.001) Loss 1.9529 (1.7556) Prec@1 61.719 (59.907) Prec@5 78.906 (81.486) Epoch: [56][5760/10010] Time 0.318 (0.326) Data 0.000 (0.001) Loss 1.9074 (1.7558) Prec@1 58.594 (59.903) Prec@5 82.031 (81.483) Epoch: [56][5770/10010] Time 0.324 (0.326) Data 0.001 (0.001) Loss 2.1399 (1.7559) Prec@1 53.125 (59.899) Prec@5 76.562 (81.482) Epoch: [56][5780/10010] Time 0.328 (0.326) Data 0.001 (0.001) Loss 1.6822 (1.7560) Prec@1 57.031 (59.896) Prec@5 83.594 (81.483) Epoch: [56][5790/10010] Time 0.334 (0.326) Data 0.000 (0.001) Loss 1.7069 (1.7561) Prec@1 63.281 (59.897) Prec@5 81.250 (81.478) Epoch: [56][5800/10010] Time 0.317 (0.326) Data 0.001 (0.001) Loss 1.6762 (1.7562) Prec@1 60.938 (59.895) Prec@5 84.375 (81.475) Epoch: [56][5810/10010] Time 0.318 (0.326) Data 0.001 (0.001) Loss 1.8915 (1.7564) Prec@1 57.031 (59.890) Prec@5 82.031 (81.472) Epoch: [56][5820/10010] Time 0.319 (0.326) Data 0.001 (0.001) Loss 1.6935 (1.7564) Prec@1 57.812 (59.888) Prec@5 84.375 (81.472) Epoch: [56][5830/10010] Time 0.333 (0.326) Data 0.001 (0.001) Loss 1.6730 (1.7563) Prec@1 62.500 (59.888) Prec@5 82.031 (81.475) Epoch: [56][5840/10010] Time 0.320 (0.326) Data 0.000 (0.001) Loss 1.8865 (1.7563) Prec@1 59.375 (59.889) Prec@5 78.125 (81.474) Epoch: [56][5850/10010] Time 0.320 (0.326) Data 0.000 (0.001) Loss 1.6210 (1.7564) Prec@1 57.812 (59.888) Prec@5 82.812 (81.472) Epoch: [56][5860/10010] Time 0.333 (0.326) Data 0.001 (0.001) Loss 1.7082 (1.7564) Prec@1 58.594 (59.888) Prec@5 82.031 (81.473) Epoch: [56][5870/10010] Time 0.318 (0.326) Data 0.001 (0.001) Loss 1.7813 (1.7563) Prec@1 63.281 (59.889) Prec@5 80.469 (81.474) Epoch: [56][5880/10010] Time 0.314 (0.326) Data 0.001 (0.001) Loss 1.7448 (1.7564) Prec@1 57.031 (59.888) Prec@5 82.812 (81.475) Epoch: [56][5890/10010] Time 0.314 (0.326) Data 0.001 (0.001) Loss 1.8572 (1.7563) Prec@1 56.250 (59.885) Prec@5 82.812 (81.476) Epoch: [56][5900/10010] Time 0.317 (0.326) Data 0.001 (0.001) Loss 1.6029 (1.7561) Prec@1 66.406 (59.891) Prec@5 83.594 (81.480) Epoch: [56][5910/10010] Time 0.340 (0.326) Data 0.001 (0.001) Loss 1.8729 (1.7562) Prec@1 58.594 (59.892) Prec@5 79.688 (81.476) Epoch: [56][5920/10010] Time 0.330 (0.326) Data 0.001 (0.001) Loss 1.7686 (1.7562) Prec@1 60.938 (59.894) Prec@5 79.688 (81.476) Epoch: [56][5930/10010] Time 0.321 (0.326) Data 0.001 (0.001) Loss 2.0536 (1.7562) Prec@1 54.688 (59.893) Prec@5 72.656 (81.473) Epoch: [56][5940/10010] Time 0.318 (0.326) Data 0.001 (0.001) Loss 1.6741 (1.7563) Prec@1 57.812 (59.889) Prec@5 82.812 (81.471) Epoch: [56][5950/10010] Time 0.324 (0.326) Data 0.001 (0.001) Loss 1.7068 (1.7565) Prec@1 67.969 (59.885) Prec@5 82.812 (81.470) Epoch: [56][5960/10010] Time 0.330 (0.326) Data 0.001 (0.001) Loss 1.8607 (1.7563) Prec@1 51.562 (59.885) Prec@5 82.031 (81.472) Epoch: [56][5970/10010] Time 0.334 (0.326) Data 0.000 (0.001) Loss 2.2649 (1.7564) Prec@1 53.125 (59.886) Prec@5 71.094 (81.470) Epoch: [56][5980/10010] Time 0.341 (0.326) Data 0.000 (0.001) Loss 1.7985 (1.7563) Prec@1 55.469 (59.887) Prec@5 79.688 (81.472) Epoch: [56][5990/10010] Time 0.333 (0.326) Data 0.001 (0.001) Loss 1.7969 (1.7564) Prec@1 59.375 (59.886) Prec@5 83.594 (81.472) Epoch: [56][6000/10010] Time 0.340 (0.326) Data 0.001 (0.001) Loss 2.0511 (1.7564) Prec@1 60.938 (59.887) Prec@5 75.000 (81.471) Epoch: [56][6010/10010] Time 0.337 (0.326) Data 0.000 (0.001) Loss 1.8156 (1.7565) Prec@1 56.250 (59.889) Prec@5 80.469 (81.470) Epoch: [56][6020/10010] Time 0.328 (0.326) Data 0.001 (0.001) Loss 1.7787 (1.7567) Prec@1 60.156 (59.884) Prec@5 81.250 (81.467) Epoch: [56][6030/10010] Time 0.321 (0.326) Data 0.001 (0.001) Loss 1.6876 (1.7567) Prec@1 64.062 (59.884) Prec@5 82.812 (81.467) Epoch: [56][6040/10010] Time 0.335 (0.326) Data 0.000 (0.001) Loss 2.2252 (1.7568) Prec@1 52.344 (59.883) Prec@5 78.125 (81.465) Epoch: [56][6050/10010] Time 0.328 (0.326) Data 0.001 (0.001) Loss 2.1698 (1.7569) Prec@1 56.250 (59.880) Prec@5 78.125 (81.464) Epoch: [56][6060/10010] Time 0.340 (0.326) Data 0.000 (0.001) Loss 1.9827 (1.7569) Prec@1 47.656 (59.879) Prec@5 73.438 (81.463) Epoch: [56][6070/10010] Time 0.321 (0.326) Data 0.001 (0.001) Loss 1.7740 (1.7566) Prec@1 63.281 (59.887) Prec@5 81.250 (81.468) Epoch: [56][6080/10010] Time 0.328 (0.326) Data 0.001 (0.001) Loss 1.6973 (1.7567) Prec@1 64.062 (59.884) Prec@5 84.375 (81.468) Epoch: [56][6090/10010] Time 0.332 (0.326) Data 0.001 (0.001) Loss 1.6506 (1.7568) Prec@1 59.375 (59.884) Prec@5 83.594 (81.468) Epoch: [56][6100/10010] Time 0.331 (0.326) Data 0.001 (0.001) Loss 1.8051 (1.7568) Prec@1 59.375 (59.882) Prec@5 79.688 (81.468) Epoch: [56][6110/10010] Time 0.318 (0.326) Data 0.001 (0.001) Loss 1.9844 (1.7568) Prec@1 55.469 (59.884) Prec@5 78.906 (81.470) Epoch: [56][6120/10010] Time 0.329 (0.326) Data 0.000 (0.001) Loss 1.8671 (1.7568) Prec@1 53.125 (59.881) Prec@5 78.906 (81.471) Epoch: [56][6130/10010] Time 0.330 (0.326) Data 0.001 (0.001) Loss 1.9560 (1.7570) Prec@1 57.812 (59.879) Prec@5 78.125 (81.468) Epoch: [56][6140/10010] Time 0.319 (0.326) Data 0.001 (0.001) Loss 1.9732 (1.7570) Prec@1 57.812 (59.879) Prec@5 76.562 (81.470) Epoch: [56][6150/10010] Time 0.314 (0.326) Data 0.001 (0.001) Loss 2.1602 (1.7571) Prec@1 52.344 (59.876) Prec@5 71.094 (81.468) Epoch: [56][6160/10010] Time 0.322 (0.326) Data 0.000 (0.001) Loss 1.7825 (1.7571) Prec@1 60.938 (59.877) Prec@5 81.250 (81.469) Epoch: [56][6170/10010] Time 0.337 (0.326) Data 0.001 (0.001) Loss 1.8852 (1.7572) Prec@1 60.938 (59.874) Prec@5 81.250 (81.469) Epoch: [56][6180/10010] Time 0.336 (0.326) Data 0.001 (0.001) Loss 1.5033 (1.7571) Prec@1 63.281 (59.873) Prec@5 86.719 (81.471) Epoch: [56][6190/10010] Time 0.320 (0.326) Data 0.001 (0.001) Loss 1.7471 (1.7572) Prec@1 60.156 (59.873) Prec@5 77.344 (81.472) Epoch: [56][6200/10010] Time 0.332 (0.326) Data 0.001 (0.001) Loss 1.8019 (1.7570) Prec@1 57.031 (59.874) Prec@5 79.688 (81.473) Epoch: [56][6210/10010] Time 0.314 (0.326) Data 0.000 (0.001) Loss 1.7692 (1.7571) Prec@1 64.062 (59.874) Prec@5 84.375 (81.472) Epoch: [56][6220/10010] Time 0.326 (0.326) Data 0.001 (0.001) Loss 1.7660 (1.7569) Prec@1 62.500 (59.879) Prec@5 78.906 (81.474) Epoch: [56][6230/10010] Time 0.325 (0.326) Data 0.001 (0.001) Loss 1.6017 (1.7570) Prec@1 60.938 (59.876) Prec@5 82.812 (81.471) Epoch: [56][6240/10010] Time 0.334 (0.326) Data 0.001 (0.001) Loss 2.0118 (1.7571) Prec@1 51.562 (59.875) Prec@5 79.688 (81.470) Epoch: [56][6250/10010] Time 0.323 (0.326) Data 0.001 (0.001) Loss 1.3074 (1.7571) Prec@1 68.750 (59.877) Prec@5 89.062 (81.472) Epoch: [56][6260/10010] Time 0.334 (0.326) Data 0.000 (0.001) Loss 2.0655 (1.7572) Prec@1 57.031 (59.874) Prec@5 76.562 (81.472) Epoch: [56][6270/10010] Time 0.318 (0.326) Data 0.000 (0.001) Loss 1.9424 (1.7572) Prec@1 54.688 (59.873) Prec@5 78.125 (81.472) Epoch: [56][6280/10010] Time 0.329 (0.326) Data 0.000 (0.001) Loss 1.6003 (1.7571) Prec@1 62.500 (59.876) Prec@5 83.594 (81.475) Epoch: [56][6290/10010] Time 0.313 (0.326) Data 0.000 (0.001) Loss 2.1670 (1.7571) Prec@1 54.688 (59.880) Prec@5 77.344 (81.476) Epoch: [56][6300/10010] Time 0.340 (0.326) Data 0.001 (0.001) Loss 2.0341 (1.7570) Prec@1 56.250 (59.884) Prec@5 81.250 (81.478) Epoch: [56][6310/10010] Time 0.342 (0.326) Data 0.001 (0.001) Loss 1.5992 (1.7570) Prec@1 65.625 (59.884) Prec@5 82.031 (81.479) Epoch: [56][6320/10010] Time 0.336 (0.326) Data 0.001 (0.001) Loss 1.4751 (1.7568) Prec@1 67.188 (59.887) Prec@5 86.719 (81.482) Epoch: [56][6330/10010] Time 0.325 (0.326) Data 0.001 (0.001) Loss 1.4176 (1.7567) Prec@1 66.406 (59.890) Prec@5 86.719 (81.483) Epoch: [56][6340/10010] Time 0.339 (0.326) Data 0.000 (0.001) Loss 1.8233 (1.7567) Prec@1 58.594 (59.889) Prec@5 82.812 (81.485) Epoch: [56][6350/10010] Time 0.332 (0.326) Data 0.001 (0.001) Loss 1.7573 (1.7566) Prec@1 60.938 (59.888) Prec@5 78.125 (81.484) Epoch: [56][6360/10010] Time 0.331 (0.326) Data 0.001 (0.001) Loss 1.9338 (1.7567) Prec@1 53.906 (59.886) Prec@5 78.906 (81.486) Epoch: [56][6370/10010] Time 0.312 (0.326) Data 0.001 (0.001) Loss 1.7984 (1.7566) Prec@1 55.469 (59.885) Prec@5 80.469 (81.487) Epoch: [56][6380/10010] Time 0.312 (0.326) Data 0.001 (0.001) Loss 1.4197 (1.7566) Prec@1 68.750 (59.885) Prec@5 88.281 (81.487) Epoch: [56][6390/10010] Time 0.319 (0.326) Data 0.001 (0.001) Loss 2.0968 (1.7567) Prec@1 55.469 (59.882) Prec@5 76.562 (81.487) Epoch: [56][6400/10010] Time 0.321 (0.326) Data 0.001 (0.001) Loss 2.2562 (1.7567) Prec@1 47.656 (59.882) Prec@5 74.219 (81.487) Epoch: [56][6410/10010] Time 0.316 (0.326) Data 0.000 (0.001) Loss 1.9513 (1.7569) Prec@1 55.469 (59.878) Prec@5 77.344 (81.483) Epoch: [56][6420/10010] Time 0.331 (0.326) Data 0.001 (0.001) Loss 1.6962 (1.7569) Prec@1 64.844 (59.877) Prec@5 81.250 (81.484) Epoch: [56][6430/10010] Time 0.319 (0.326) Data 0.001 (0.001) Loss 1.8695 (1.7570) Prec@1 61.719 (59.877) Prec@5 79.688 (81.483) Epoch: [56][6440/10010] Time 0.321 (0.326) Data 0.001 (0.001) Loss 2.2233 (1.7570) Prec@1 49.219 (59.876) Prec@5 74.219 (81.483) Epoch: [56][6450/10010] Time 0.323 (0.326) Data 0.000 (0.001) Loss 1.7480 (1.7569) Prec@1 57.812 (59.876) Prec@5 78.906 (81.484) Epoch: [56][6460/10010] Time 0.324 (0.326) Data 0.001 (0.001) Loss 1.5319 (1.7570) Prec@1 62.500 (59.875) Prec@5 85.156 (81.483) Epoch: [56][6470/10010] Time 0.320 (0.326) Data 0.000 (0.001) Loss 1.5050 (1.7570) Prec@1 68.750 (59.875) Prec@5 84.375 (81.481) Epoch: [56][6480/10010] Time 0.320 (0.326) Data 0.001 (0.001) Loss 2.3128 (1.7572) Prec@1 51.562 (59.872) Prec@5 70.312 (81.480) Epoch: [56][6490/10010] Time 0.320 (0.326) Data 0.000 (0.001) Loss 1.6263 (1.7572) Prec@1 63.281 (59.872) Prec@5 84.375 (81.479) Epoch: [56][6500/10010] Time 0.327 (0.326) Data 0.001 (0.001) Loss 1.5256 (1.7573) Prec@1 67.969 (59.872) Prec@5 87.500 (81.479) Epoch: [56][6510/10010] Time 0.319 (0.326) Data 0.001 (0.001) Loss 1.6886 (1.7572) Prec@1 64.062 (59.872) Prec@5 82.031 (81.477) Epoch: [56][6520/10010] Time 0.329 (0.326) Data 0.001 (0.001) Loss 1.7671 (1.7573) Prec@1 59.375 (59.873) Prec@5 81.250 (81.475) Epoch: [56][6530/10010] Time 0.334 (0.326) Data 0.001 (0.001) Loss 2.1114 (1.7573) Prec@1 57.812 (59.873) Prec@5 78.125 (81.476) Epoch: [56][6540/10010] Time 0.333 (0.326) Data 0.001 (0.001) Loss 1.7584 (1.7575) Prec@1 62.500 (59.870) Prec@5 80.469 (81.473) Epoch: [56][6550/10010] Time 0.334 (0.326) Data 0.001 (0.001) Loss 1.5526 (1.7575) Prec@1 64.062 (59.871) Prec@5 83.594 (81.473) Epoch: [56][6560/10010] Time 0.330 (0.326) Data 0.001 (0.001) Loss 1.7213 (1.7576) Prec@1 60.938 (59.870) Prec@5 78.125 (81.470) Epoch: [56][6570/10010] Time 0.315 (0.326) Data 0.000 (0.001) Loss 1.5510 (1.7575) Prec@1 62.500 (59.870) Prec@5 82.031 (81.471) Epoch: [56][6580/10010] Time 0.321 (0.326) Data 0.000 (0.001) Loss 1.8335 (1.7575) Prec@1 60.938 (59.871) Prec@5 80.469 (81.472) Epoch: [56][6590/10010] Time 0.341 (0.326) Data 0.001 (0.001) Loss 1.9702 (1.7575) Prec@1 53.906 (59.873) Prec@5 76.562 (81.472) Epoch: [56][6600/10010] Time 0.328 (0.326) Data 0.001 (0.001) Loss 1.6730 (1.7574) Prec@1 62.500 (59.873) Prec@5 81.250 (81.473) Epoch: [56][6610/10010] Time 0.343 (0.326) Data 0.001 (0.001) Loss 1.8115 (1.7575) Prec@1 62.500 (59.873) Prec@5 79.688 (81.472) Epoch: [56][6620/10010] Time 0.338 (0.326) Data 0.001 (0.001) Loss 1.5642 (1.7576) Prec@1 64.062 (59.873) Prec@5 81.250 (81.470) Epoch: [56][6630/10010] Time 0.333 (0.326) Data 0.000 (0.001) Loss 2.0401 (1.7577) Prec@1 54.688 (59.871) Prec@5 81.250 (81.468) Epoch: [56][6640/10010] Time 0.323 (0.326) Data 0.001 (0.001) Loss 1.8154 (1.7578) Prec@1 58.594 (59.868) Prec@5 85.156 (81.466) Epoch: [56][6650/10010] Time 0.332 (0.326) Data 0.001 (0.001) Loss 1.5434 (1.7578) Prec@1 63.281 (59.866) Prec@5 85.938 (81.464) Epoch: [56][6660/10010] Time 0.340 (0.326) Data 0.001 (0.001) Loss 1.7476 (1.7577) Prec@1 56.250 (59.867) Prec@5 80.469 (81.466) Epoch: [56][6670/10010] Time 0.316 (0.326) Data 0.001 (0.001) Loss 2.1237 (1.7578) Prec@1 54.688 (59.864) Prec@5 76.562 (81.463) Epoch: [56][6680/10010] Time 0.324 (0.326) Data 0.000 (0.001) Loss 1.7475 (1.7578) Prec@1 64.844 (59.862) Prec@5 81.250 (81.466) Epoch: [56][6690/10010] Time 0.321 (0.326) Data 0.001 (0.001) Loss 1.6244 (1.7578) Prec@1 67.969 (59.861) Prec@5 84.375 (81.465) Epoch: [56][6700/10010] Time 0.328 (0.326) Data 0.001 (0.001) Loss 1.6984 (1.7580) Prec@1 62.500 (59.860) Prec@5 82.031 (81.463) Epoch: [56][6710/10010] Time 0.323 (0.326) Data 0.000 (0.001) Loss 1.9401 (1.7581) Prec@1 53.906 (59.858) Prec@5 80.469 (81.463) Epoch: [56][6720/10010] Time 0.340 (0.326) Data 0.000 (0.001) Loss 1.6898 (1.7582) Prec@1 60.156 (59.857) Prec@5 84.375 (81.461) Epoch: [56][6730/10010] Time 0.334 (0.326) Data 0.000 (0.001) Loss 1.8629 (1.7581) Prec@1 57.812 (59.857) Prec@5 78.125 (81.462) Epoch: [56][6740/10010] Time 0.333 (0.326) Data 0.001 (0.001) Loss 1.5956 (1.7581) Prec@1 63.281 (59.859) Prec@5 82.812 (81.460) Epoch: [56][6750/10010] Time 0.336 (0.326) Data 0.001 (0.001) Loss 1.8687 (1.7581) Prec@1 58.594 (59.858) Prec@5 85.156 (81.462) Epoch: [56][6760/10010] Time 0.328 (0.326) Data 0.000 (0.001) Loss 1.9067 (1.7581) Prec@1 56.250 (59.859) Prec@5 78.906 (81.462) Epoch: [56][6770/10010] Time 0.334 (0.326) Data 0.000 (0.001) Loss 1.6190 (1.7580) Prec@1 60.156 (59.859) Prec@5 85.938 (81.464) Epoch: [56][6780/10010] Time 0.339 (0.326) Data 0.000 (0.001) Loss 2.0788 (1.7581) Prec@1 57.031 (59.856) Prec@5 74.219 (81.461) Epoch: [56][6790/10010] Time 0.341 (0.326) Data 0.000 (0.001) Loss 1.6251 (1.7581) Prec@1 62.500 (59.856) Prec@5 85.156 (81.462) Epoch: [56][6800/10010] Time 0.317 (0.326) Data 0.001 (0.001) Loss 1.8821 (1.7582) Prec@1 64.062 (59.856) Prec@5 81.250 (81.461) Epoch: [56][6810/10010] Time 0.339 (0.326) Data 0.001 (0.001) Loss 1.9331 (1.7583) Prec@1 54.688 (59.854) Prec@5 82.031 (81.459) Epoch: [56][6820/10010] Time 0.314 (0.326) Data 0.001 (0.001) Loss 1.6758 (1.7583) Prec@1 62.500 (59.853) Prec@5 82.031 (81.459) Epoch: [56][6830/10010] Time 0.338 (0.326) Data 0.001 (0.001) Loss 1.9586 (1.7583) Prec@1 62.500 (59.854) Prec@5 77.344 (81.459) Epoch: [56][6840/10010] Time 0.322 (0.326) Data 0.001 (0.001) Loss 1.7486 (1.7583) Prec@1 60.938 (59.854) Prec@5 80.469 (81.459) Epoch: [56][6850/10010] Time 0.339 (0.326) Data 0.001 (0.001) Loss 1.8972 (1.7583) Prec@1 58.594 (59.855) Prec@5 74.219 (81.459) Epoch: [56][6860/10010] Time 0.332 (0.326) Data 0.001 (0.001) Loss 1.5385 (1.7582) Prec@1 66.406 (59.858) Prec@5 82.812 (81.458) Epoch: [56][6870/10010] Time 0.320 (0.326) Data 0.001 (0.001) Loss 1.7433 (1.7581) Prec@1 59.375 (59.859) Prec@5 84.375 (81.459) Epoch: [56][6880/10010] Time 0.315 (0.326) Data 0.001 (0.001) Loss 1.8361 (1.7582) Prec@1 55.469 (59.859) Prec@5 78.906 (81.460) Epoch: [56][6890/10010] Time 0.324 (0.326) Data 0.001 (0.001) Loss 1.7701 (1.7581) Prec@1 61.719 (59.859) Prec@5 81.250 (81.459) Epoch: [56][6900/10010] Time 0.333 (0.326) Data 0.000 (0.001) Loss 1.4792 (1.7580) Prec@1 67.969 (59.861) Prec@5 85.938 (81.461) Epoch: [56][6910/10010] Time 0.329 (0.326) Data 0.001 (0.001) Loss 1.8186 (1.7580) Prec@1 55.469 (59.861) Prec@5 79.688 (81.461) Epoch: [56][6920/10010] Time 0.328 (0.326) Data 0.001 (0.001) Loss 1.7849 (1.7580) Prec@1 58.594 (59.861) Prec@5 84.375 (81.462) Epoch: [56][6930/10010] Time 0.340 (0.326) Data 0.001 (0.001) Loss 2.0382 (1.7581) Prec@1 57.031 (59.860) Prec@5 75.781 (81.461) Epoch: [56][6940/10010] Time 0.317 (0.326) Data 0.001 (0.001) Loss 2.2897 (1.7582) Prec@1 49.219 (59.857) Prec@5 71.875 (81.460) Epoch: [56][6950/10010] Time 0.334 (0.326) Data 0.001 (0.001) Loss 1.7544 (1.7582) Prec@1 56.250 (59.856) Prec@5 82.031 (81.462) Epoch: [56][6960/10010] Time 0.331 (0.326) Data 0.001 (0.001) Loss 1.7744 (1.7582) Prec@1 58.594 (59.854) Prec@5 81.250 (81.462) Epoch: [56][6970/10010] Time 0.325 (0.326) Data 0.000 (0.001) Loss 1.7197 (1.7581) Prec@1 59.375 (59.855) Prec@5 83.594 (81.462) Epoch: [56][6980/10010] Time 0.324 (0.326) Data 0.001 (0.001) Loss 1.3825 (1.7582) Prec@1 67.188 (59.852) Prec@5 89.062 (81.460) Epoch: [56][6990/10010] Time 0.336 (0.326) Data 0.001 (0.001) Loss 1.6803 (1.7582) Prec@1 60.156 (59.853) Prec@5 82.031 (81.460) Epoch: [56][7000/10010] Time 0.318 (0.326) Data 0.000 (0.001) Loss 1.8897 (1.7582) Prec@1 59.375 (59.856) Prec@5 77.344 (81.460) Epoch: [56][7010/10010] Time 0.327 (0.326) Data 0.001 (0.001) Loss 1.8415 (1.7583) Prec@1 58.594 (59.854) Prec@5 80.469 (81.460) Epoch: [56][7020/10010] Time 0.324 (0.326) Data 0.001 (0.001) Loss 1.8548 (1.7582) Prec@1 55.469 (59.855) Prec@5 82.812 (81.463) Epoch: [56][7030/10010] Time 0.310 (0.326) Data 0.001 (0.001) Loss 1.4736 (1.7582) Prec@1 63.281 (59.856) Prec@5 86.719 (81.464) Epoch: [56][7040/10010] Time 0.333 (0.326) Data 0.000 (0.001) Loss 1.8023 (1.7583) Prec@1 56.250 (59.853) Prec@5 82.031 (81.464) Epoch: [56][7050/10010] Time 0.342 (0.326) Data 0.001 (0.001) Loss 1.7634 (1.7583) Prec@1 61.719 (59.852) Prec@5 82.812 (81.465) Epoch: [56][7060/10010] Time 0.316 (0.326) Data 0.001 (0.001) Loss 1.8530 (1.7585) Prec@1 56.250 (59.849) Prec@5 82.031 (81.464) Epoch: [56][7070/10010] Time 0.342 (0.327) Data 0.000 (0.001) Loss 1.8491 (1.7585) Prec@1 59.375 (59.848) Prec@5 79.688 (81.464) Epoch: [56][7080/10010] Time 0.329 (0.327) Data 0.001 (0.001) Loss 1.5858 (1.7585) Prec@1 64.844 (59.850) Prec@5 80.469 (81.462) Epoch: [56][7090/10010] Time 0.316 (0.327) Data 0.001 (0.001) Loss 1.8742 (1.7584) Prec@1 53.125 (59.851) Prec@5 79.688 (81.464) Epoch: [56][7100/10010] Time 0.329 (0.327) Data 0.001 (0.001) Loss 2.2053 (1.7585) Prec@1 51.562 (59.850) Prec@5 76.562 (81.463) Epoch: [56][7110/10010] Time 0.333 (0.327) Data 0.001 (0.001) Loss 1.3049 (1.7586) Prec@1 65.625 (59.849) Prec@5 90.625 (81.462) Epoch: [56][7120/10010] Time 0.334 (0.327) Data 0.000 (0.001) Loss 1.7764 (1.7586) Prec@1 61.719 (59.850) Prec@5 77.344 (81.462) Epoch: [56][7130/10010] Time 0.317 (0.327) Data 0.000 (0.001) Loss 1.7098 (1.7587) Prec@1 57.031 (59.849) Prec@5 80.469 (81.460) Epoch: [56][7140/10010] Time 0.317 (0.327) Data 0.000 (0.001) Loss 2.0083 (1.7588) Prec@1 49.219 (59.848) Prec@5 74.219 (81.459) Epoch: [56][7150/10010] Time 0.328 (0.327) Data 0.001 (0.001) Loss 1.8298 (1.7588) Prec@1 58.594 (59.850) Prec@5 78.906 (81.457) Epoch: [56][7160/10010] Time 0.334 (0.327) Data 0.000 (0.001) Loss 1.8479 (1.7589) Prec@1 56.250 (59.851) Prec@5 80.469 (81.455) Epoch: [56][7170/10010] Time 0.335 (0.327) Data 0.000 (0.001) Loss 1.4607 (1.7589) Prec@1 64.062 (59.850) Prec@5 84.375 (81.454) Epoch: [56][7180/10010] Time 0.335 (0.327) Data 0.001 (0.001) Loss 1.6211 (1.7589) Prec@1 67.969 (59.853) Prec@5 82.812 (81.454) Epoch: [56][7190/10010] Time 0.324 (0.327) Data 0.001 (0.001) Loss 1.6072 (1.7589) Prec@1 65.625 (59.853) Prec@5 79.688 (81.452) Epoch: [56][7200/10010] Time 0.320 (0.327) Data 0.001 (0.001) Loss 1.7116 (1.7589) Prec@1 60.156 (59.854) Prec@5 82.031 (81.452) Epoch: [56][7210/10010] Time 0.316 (0.327) Data 0.001 (0.001) Loss 2.1495 (1.7590) Prec@1 54.688 (59.852) Prec@5 75.000 (81.449) Epoch: [56][7220/10010] Time 0.319 (0.327) Data 0.000 (0.001) Loss 2.0795 (1.7591) Prec@1 57.031 (59.850) Prec@5 78.125 (81.448) Epoch: [56][7230/10010] Time 0.337 (0.327) Data 0.001 (0.001) Loss 1.6110 (1.7592) Prec@1 61.719 (59.848) Prec@5 86.719 (81.447) Epoch: [56][7240/10010] Time 0.325 (0.327) Data 0.001 (0.001) Loss 1.8405 (1.7592) Prec@1 59.375 (59.847) Prec@5 81.250 (81.445) Epoch: [56][7250/10010] Time 0.328 (0.327) Data 0.000 (0.001) Loss 2.1072 (1.7593) Prec@1 54.688 (59.846) Prec@5 76.562 (81.444) Epoch: [56][7260/10010] Time 0.318 (0.327) Data 0.001 (0.001) Loss 1.5984 (1.7594) Prec@1 61.719 (59.846) Prec@5 83.594 (81.442) Epoch: [56][7270/10010] Time 0.321 (0.327) Data 0.001 (0.001) Loss 1.7068 (1.7594) Prec@1 58.594 (59.844) Prec@5 82.812 (81.442) Epoch: [56][7280/10010] Time 0.317 (0.327) Data 0.001 (0.001) Loss 1.7033 (1.7594) Prec@1 60.938 (59.845) Prec@5 82.812 (81.441) Epoch: [56][7290/10010] Time 0.317 (0.327) Data 0.001 (0.001) Loss 1.5741 (1.7595) Prec@1 63.281 (59.843) Prec@5 82.031 (81.439) Epoch: [56][7300/10010] Time 0.331 (0.327) Data 0.001 (0.001) Loss 1.8486 (1.7597) Prec@1 55.469 (59.839) Prec@5 77.344 (81.437) /data/vision/torralba/deepscene/lib/anaconda2/lib/python2.7/site-packages/PIL/TiffImagePlugin.py:692: UserWarning: Possibly corrupt EXIF data. Expecting to read 2555904 bytes but only got 0. Skipping tag 0 "Skipping tag %s" % (size, len(data), tag)) /data/vision/torralba/deepscene/lib/anaconda2/lib/python2.7/site-packages/PIL/TiffImagePlugin.py:692: UserWarning: Possibly corrupt EXIF data. Expecting to read 19660800 bytes but only got 0. Skipping tag 0 "Skipping tag %s" % (size, len(data), tag)) /data/vision/torralba/deepscene/lib/anaconda2/lib/python2.7/site-packages/PIL/TiffImagePlugin.py:692: UserWarning: Possibly corrupt EXIF data. Expecting to read 18481152 bytes but only got 0. Skipping tag 0 "Skipping tag %s" % (size, len(data), tag)) /data/vision/torralba/deepscene/lib/anaconda2/lib/python2.7/site-packages/PIL/TiffImagePlugin.py:692: UserWarning: Possibly corrupt EXIF data. Expecting to read 37093376 bytes but only got 0. Skipping tag 0 "Skipping tag %s" % (size, len(data), tag)) /data/vision/torralba/deepscene/lib/anaconda2/lib/python2.7/site-packages/PIL/TiffImagePlugin.py:692: UserWarning: Possibly corrupt EXIF data. Expecting to read 39976960 bytes but only got 0. Skipping tag 0 "Skipping tag %s" % (size, len(data), tag)) /data/vision/torralba/deepscene/lib/anaconda2/lib/python2.7/site-packages/PIL/TiffImagePlugin.py:692: UserWarning: Possibly corrupt EXIF data. Expecting to read 34865152 bytes but only got 0. Skipping tag 0 "Skipping tag %s" % (size, len(data), tag)) /data/vision/torralba/deepscene/lib/anaconda2/lib/python2.7/site-packages/PIL/TiffImagePlugin.py:709: UserWarning: Corrupt EXIF data. Expecting to read 12 bytes but only got 10. warnings.warn(str(msg)) Epoch: [56][7310/10010] Time 0.339 (0.327) Data 0.000 (0.001) Loss 1.6545 (1.7597) Prec@1 64.062 (59.837) Prec@5 85.938 (81.436) Epoch: [56][7320/10010] Time 0.332 (0.327) Data 0.001 (0.001) Loss 1.6855 (1.7596) Prec@1 61.719 (59.840) Prec@5 78.906 (81.438) Epoch: [56][7330/10010] Time 0.338 (0.327) Data 0.001 (0.001) Loss 1.8113 (1.7596) Prec@1 59.375 (59.842) Prec@5 78.906 (81.437) Epoch: [56][7340/10010] Time 0.331 (0.327) Data 0.001 (0.001) Loss 1.4819 (1.7597) Prec@1 64.844 (59.839) Prec@5 86.719 (81.436) Epoch: [56][7350/10010] Time 0.322 (0.327) Data 0.000 (0.001) Loss 1.7338 (1.7598) Prec@1 59.375 (59.838) Prec@5 81.250 (81.436) Epoch: [56][7360/10010] Time 0.341 (0.327) Data 0.001 (0.001) Loss 1.4584 (1.7597) Prec@1 69.531 (59.839) Prec@5 85.938 (81.438) Epoch: [56][7370/10010] Time 0.327 (0.327) Data 0.000 (0.001) Loss 1.9372 (1.7598) Prec@1 57.812 (59.838) Prec@5 78.906 (81.439) Epoch: [56][7380/10010] Time 0.317 (0.327) Data 0.001 (0.001) Loss 1.8385 (1.7598) Prec@1 59.375 (59.835) Prec@5 77.344 (81.438) Epoch: [56][7390/10010] Time 0.333 (0.327) Data 0.000 (0.001) Loss 2.0674 (1.7599) Prec@1 51.562 (59.832) Prec@5 78.906 (81.437) Epoch: [56][7400/10010] Time 0.334 (0.327) Data 0.001 (0.001) Loss 1.5326 (1.7599) Prec@1 67.188 (59.832) Prec@5 82.031 (81.436) Epoch: [56][7410/10010] Time 0.328 (0.327) Data 0.000 (0.001) Loss 1.9973 (1.7599) Prec@1 58.594 (59.832) Prec@5 81.250 (81.437) Epoch: [56][7420/10010] Time 0.339 (0.327) Data 0.001 (0.001) Loss 1.5933 (1.7602) Prec@1 57.812 (59.826) Prec@5 85.938 (81.434) Epoch: [56][7430/10010] Time 0.341 (0.327) Data 0.001 (0.001) Loss 2.0912 (1.7603) Prec@1 48.438 (59.824) Prec@5 75.781 (81.433) Epoch: [56][7440/10010] Time 0.336 (0.327) Data 0.000 (0.001) Loss 1.7380 (1.7603) Prec@1 64.844 (59.826) Prec@5 82.031 (81.432) Epoch: [56][7450/10010] Time 0.320 (0.327) Data 0.000 (0.001) Loss 1.7380 (1.7605) Prec@1 58.594 (59.824) Prec@5 81.250 (81.430) Epoch: [56][7460/10010] Time 0.312 (0.327) Data 0.001 (0.001) Loss 1.4246 (1.7603) Prec@1 62.500 (59.826) Prec@5 86.719 (81.432) Epoch: [56][7470/10010] Time 0.334 (0.327) Data 0.001 (0.001) Loss 1.5724 (1.7603) Prec@1 63.281 (59.826) Prec@5 82.031 (81.432) Epoch: [56][7480/10010] Time 0.334 (0.327) Data 0.001 (0.001) Loss 1.8821 (1.7604) Prec@1 58.594 (59.824) Prec@5 79.688 (81.431) Epoch: [56][7490/10010] Time 0.341 (0.327) Data 0.001 (0.001) Loss 2.3430 (1.7606) Prec@1 47.656 (59.818) Prec@5 72.656 (81.429) Epoch: [56][7500/10010] Time 0.322 (0.327) Data 0.001 (0.001) Loss 1.7751 (1.7606) Prec@1 60.156 (59.819) Prec@5 77.344 (81.429) Epoch: [56][7510/10010] Time 0.337 (0.327) Data 0.001 (0.001) Loss 1.7470 (1.7606) Prec@1 59.375 (59.819) Prec@5 79.688 (81.430) Epoch: [56][7520/10010] Time 0.309 (0.327) Data 0.001 (0.001) Loss 1.9503 (1.7606) Prec@1 60.938 (59.818) Prec@5 82.031 (81.430) Epoch: [56][7530/10010] Time 0.332 (0.327) Data 0.000 (0.001) Loss 1.8201 (1.7606) Prec@1 54.688 (59.818) Prec@5 80.469 (81.430) Epoch: [56][7540/10010] Time 0.344 (0.327) Data 0.000 (0.001) Loss 1.9777 (1.7607) Prec@1 55.469 (59.817) Prec@5 74.219 (81.429) Epoch: [56][7550/10010] Time 0.333 (0.327) Data 0.000 (0.001) Loss 2.0145 (1.7607) Prec@1 57.812 (59.819) Prec@5 78.125 (81.428) Epoch: [56][7560/10010] Time 0.334 (0.327) Data 0.001 (0.001) Loss 1.6859 (1.7607) Prec@1 60.938 (59.818) Prec@5 82.812 (81.428) Epoch: [56][7570/10010] Time 0.320 (0.327) Data 0.000 (0.001) Loss 1.7415 (1.7607) Prec@1 51.562 (59.817) Prec@5 84.375 (81.430) Epoch: [56][7580/10010] Time 0.323 (0.327) Data 0.001 (0.001) Loss 1.8500 (1.7606) Prec@1 56.250 (59.816) Prec@5 80.469 (81.431) Epoch: [56][7590/10010] Time 0.329 (0.327) Data 0.000 (0.001) Loss 1.8220 (1.7607) Prec@1 55.469 (59.812) Prec@5 84.375 (81.428) Epoch: [56][7600/10010] Time 0.340 (0.327) Data 0.001 (0.001) Loss 1.7743 (1.7607) Prec@1 60.938 (59.811) Prec@5 82.812 (81.430) Epoch: [56][7610/10010] Time 0.334 (0.327) Data 0.001 (0.001) Loss 1.4763 (1.7607) Prec@1 64.844 (59.812) Prec@5 83.594 (81.429) Epoch: [56][7620/10010] Time 0.339 (0.327) Data 0.000 (0.001) Loss 1.8998 (1.7606) Prec@1 57.031 (59.812) Prec@5 73.438 (81.429) Epoch: [56][7630/10010] Time 0.324 (0.327) Data 0.001 (0.001) Loss 1.5263 (1.7607) Prec@1 63.281 (59.811) Prec@5 83.594 (81.430) Epoch: [56][7640/10010] Time 0.342 (0.327) Data 0.001 (0.001) Loss 1.7674 (1.7608) Prec@1 56.250 (59.808) Prec@5 81.250 (81.429) Epoch: [56][7650/10010] Time 0.332 (0.327) Data 0.001 (0.001) Loss 1.7732 (1.7607) Prec@1 57.031 (59.810) Prec@5 79.688 (81.428) Epoch: [56][7660/10010] Time 0.341 (0.327) Data 0.001 (0.001) Loss 1.9483 (1.7609) Prec@1 58.594 (59.808) Prec@5 78.125 (81.425) Epoch: [56][7670/10010] Time 0.323 (0.327) Data 0.000 (0.001) Loss 1.8020 (1.7610) Prec@1 60.938 (59.805) Prec@5 82.812 (81.423) Epoch: [56][7680/10010] Time 0.328 (0.327) Data 0.001 (0.001) Loss 1.6444 (1.7610) Prec@1 57.812 (59.802) Prec@5 83.594 (81.423) Epoch: [56][7690/10010] Time 0.322 (0.327) Data 0.001 (0.001) Loss 1.6799 (1.7611) Prec@1 57.812 (59.800) Prec@5 82.031 (81.423) Epoch: [56][7700/10010] Time 0.333 (0.327) Data 0.000 (0.001) Loss 1.7093 (1.7610) Prec@1 57.812 (59.800) Prec@5 83.594 (81.425) Epoch: [56][7710/10010] Time 0.327 (0.327) Data 0.001 (0.001) Loss 1.6447 (1.7609) Prec@1 66.406 (59.802) Prec@5 85.938 (81.426) Epoch: [56][7720/10010] Time 0.320 (0.327) Data 0.001 (0.001) Loss 1.7690 (1.7610) Prec@1 64.062 (59.803) Prec@5 82.031 (81.423) Epoch: [56][7730/10010] Time 0.324 (0.327) Data 0.001 (0.001) Loss 2.0526 (1.7611) Prec@1 55.469 (59.803) Prec@5 77.344 (81.421) Epoch: [56][7740/10010] Time 0.315 (0.327) Data 0.000 (0.001) Loss 1.6968 (1.7611) Prec@1 60.938 (59.804) Prec@5 82.812 (81.419) Epoch: [56][7750/10010] Time 0.321 (0.327) Data 0.000 (0.001) Loss 1.7964 (1.7611) Prec@1 56.250 (59.803) Prec@5 83.594 (81.420) Epoch: [56][7760/10010] Time 0.315 (0.327) Data 0.001 (0.001) Loss 1.6702 (1.7611) Prec@1 60.938 (59.802) Prec@5 81.250 (81.419) Epoch: [56][7770/10010] Time 0.336 (0.327) Data 0.000 (0.001) Loss 1.8916 (1.7612) Prec@1 55.469 (59.800) Prec@5 82.031 (81.419) Epoch: [56][7780/10010] Time 0.332 (0.327) Data 0.001 (0.001) Loss 1.9295 (1.7612) Prec@1 54.688 (59.798) Prec@5 80.469 (81.417) Epoch: [56][7790/10010] Time 0.333 (0.327) Data 0.001 (0.001) Loss 2.0418 (1.7613) Prec@1 58.594 (59.798) Prec@5 76.562 (81.416) Epoch: [56][7800/10010] Time 0.321 (0.327) Data 0.000 (0.001) Loss 1.4164 (1.7613) Prec@1 63.281 (59.799) Prec@5 87.500 (81.419) Epoch: [56][7810/10010] Time 0.320 (0.327) Data 0.000 (0.001) Loss 1.8214 (1.7612) Prec@1 58.594 (59.800) Prec@5 78.906 (81.420) Epoch: [56][7820/10010] Time 0.320 (0.327) Data 0.001 (0.001) Loss 1.4427 (1.7613) Prec@1 64.844 (59.798) Prec@5 89.062 (81.421) Epoch: [56][7830/10010] Time 0.327 (0.327) Data 0.001 (0.001) Loss 1.8474 (1.7613) Prec@1 57.812 (59.799) Prec@5 80.469 (81.420) Epoch: [56][7840/10010] Time 0.317 (0.327) Data 0.000 (0.001) Loss 1.5434 (1.7612) Prec@1 61.719 (59.802) Prec@5 84.375 (81.421) Epoch: [56][7850/10010] Time 0.320 (0.327) Data 0.001 (0.001) Loss 1.7648 (1.7612) Prec@1 60.938 (59.800) Prec@5 78.906 (81.420) Epoch: [56][7860/10010] Time 0.318 (0.327) Data 0.001 (0.001) Loss 1.8603 (1.7612) Prec@1 60.938 (59.802) Prec@5 76.562 (81.420) Epoch: [56][7870/10010] Time 0.331 (0.327) Data 0.001 (0.001) Loss 1.6638 (1.7611) Prec@1 59.375 (59.802) Prec@5 83.594 (81.420) Epoch: [56][7880/10010] Time 0.336 (0.327) Data 0.001 (0.001) Loss 1.8232 (1.7612) Prec@1 60.156 (59.802) Prec@5 80.469 (81.420) Epoch: [56][7890/10010] Time 0.332 (0.327) Data 0.001 (0.001) Loss 1.6056 (1.7612) Prec@1 60.938 (59.804) Prec@5 80.469 (81.419) Epoch: [56][7900/10010] Time 0.315 (0.327) Data 0.001 (0.001) Loss 1.6260 (1.7611) Prec@1 58.594 (59.805) Prec@5 85.938 (81.422) Epoch: [56][7910/10010] Time 0.325 (0.327) Data 0.001 (0.001) Loss 2.2415 (1.7611) Prec@1 49.219 (59.805) Prec@5 72.656 (81.422) Epoch: [56][7920/10010] Time 0.332 (0.327) Data 0.001 (0.001) Loss 1.7267 (1.7610) Prec@1 59.375 (59.807) Prec@5 81.250 (81.424) Epoch: [56][7930/10010] Time 0.321 (0.327) Data 0.000 (0.001) Loss 1.8059 (1.7611) Prec@1 57.812 (59.806) Prec@5 81.250 (81.424) Epoch: [56][7940/10010] Time 0.325 (0.327) Data 0.001 (0.001) Loss 1.7825 (1.7611) Prec@1 63.281 (59.807) Prec@5 78.125 (81.424) Epoch: [56][7950/10010] Time 0.325 (0.327) Data 0.001 (0.001) Loss 2.0095 (1.7612) Prec@1 54.688 (59.807) Prec@5 77.344 (81.423) Epoch: [56][7960/10010] Time 0.319 (0.327) Data 0.001 (0.001) Loss 1.3919 (1.7611) Prec@1 69.531 (59.809) Prec@5 89.844 (81.425) Epoch: [56][7970/10010] Time 0.328 (0.327) Data 0.000 (0.001) Loss 2.0433 (1.7610) Prec@1 57.031 (59.810) Prec@5 79.688 (81.425) Epoch: [56][7980/10010] Time 0.341 (0.327) Data 0.001 (0.001) Loss 1.7842 (1.7611) Prec@1 53.906 (59.810) Prec@5 77.344 (81.424) Epoch: [56][7990/10010] Time 0.335 (0.327) Data 0.001 (0.001) Loss 1.8005 (1.7612) Prec@1 57.031 (59.807) Prec@5 78.906 (81.423) Epoch: [56][8000/10010] Time 0.329 (0.327) Data 0.001 (0.001) Loss 2.1139 (1.7613) Prec@1 57.031 (59.805) Prec@5 77.344 (81.421) Epoch: [56][8010/10010] Time 0.327 (0.327) Data 0.000 (0.001) Loss 1.8859 (1.7614) Prec@1 63.281 (59.805) Prec@5 78.906 (81.420) Epoch: [56][8020/10010] Time 0.331 (0.327) Data 0.001 (0.001) Loss 1.8177 (1.7614) Prec@1 58.594 (59.803) Prec@5 81.250 (81.421) Epoch: [56][8030/10010] Time 0.327 (0.327) Data 0.000 (0.001) Loss 1.8686 (1.7614) Prec@1 59.375 (59.805) Prec@5 78.125 (81.421) Epoch: [56][8040/10010] Time 0.327 (0.327) Data 0.000 (0.001) Loss 1.7496 (1.7614) Prec@1 54.688 (59.803) Prec@5 80.469 (81.421) Epoch: [56][8050/10010] Time 0.323 (0.327) Data 0.001 (0.001) Loss 1.6692 (1.7614) Prec@1 64.062 (59.802) Prec@5 81.250 (81.420) Epoch: [56][8060/10010] Time 0.324 (0.327) Data 0.001 (0.001) Loss 1.6231 (1.7614) Prec@1 63.281 (59.804) Prec@5 79.688 (81.420) Epoch: [56][8070/10010] Time 0.332 (0.327) Data 0.001 (0.001) Loss 1.7105 (1.7615) Prec@1 63.281 (59.801) Prec@5 83.594 (81.418) Epoch: [56][8080/10010] Time 0.326 (0.327) Data 0.001 (0.001) Loss 1.4355 (1.7615) Prec@1 67.969 (59.803) Prec@5 85.156 (81.418) Epoch: [56][8090/10010] Time 0.323 (0.327) Data 0.001 (0.001) Loss 1.7250 (1.7615) Prec@1 60.938 (59.802) Prec@5 82.031 (81.418) Epoch: [56][8100/10010] Time 0.321 (0.327) Data 0.001 (0.001) Loss 1.9995 (1.7615) Prec@1 57.031 (59.802) Prec@5 75.000 (81.418) Epoch: [56][8110/10010] Time 0.336 (0.327) Data 0.001 (0.001) Loss 1.5668 (1.7615) Prec@1 63.281 (59.803) Prec@5 82.031 (81.418) Epoch: [56][8120/10010] Time 0.321 (0.327) Data 0.000 (0.001) Loss 1.8024 (1.7615) Prec@1 54.688 (59.802) Prec@5 79.688 (81.417) Epoch: [56][8130/10010] Time 0.332 (0.327) Data 0.001 (0.001) Loss 1.9963 (1.7617) Prec@1 53.125 (59.797) Prec@5 82.031 (81.415) Epoch: [56][8140/10010] Time 0.334 (0.327) Data 0.001 (0.001) Loss 1.7744 (1.7617) Prec@1 57.812 (59.798) Prec@5 82.031 (81.414) Epoch: [56][8150/10010] Time 0.331 (0.327) Data 0.001 (0.001) Loss 1.7122 (1.7617) Prec@1 60.156 (59.799) Prec@5 82.031 (81.415) Epoch: [56][8160/10010] Time 0.343 (0.327) Data 0.000 (0.001) Loss 1.6842 (1.7618) Prec@1 62.500 (59.798) Prec@5 80.469 (81.414) Epoch: [56][8170/10010] Time 0.321 (0.327) Data 0.001 (0.001) Loss 1.8636 (1.7618) Prec@1 57.812 (59.795) Prec@5 81.250 (81.414) /data/vision/torralba/deepscene/lib/anaconda2/lib/python2.7/site-packages/PIL/TiffImagePlugin.py:692: UserWarning: Possibly corrupt EXIF data. Expecting to read 1835008 bytes but only got 0. Skipping tag 0 "Skipping tag %s" % (size, len(data), tag)) Epoch: [56][8180/10010] Time 0.333 (0.327) Data 0.000 (0.001) Loss 1.4682 (1.7617) Prec@1 67.188 (59.797) Prec@5 84.375 (81.414) Epoch: [56][8190/10010] Time 0.316 (0.327) Data 0.001 (0.001) Loss 1.8247 (1.7618) Prec@1 62.500 (59.797) Prec@5 79.688 (81.414) Epoch: [56][8200/10010] Time 0.332 (0.327) Data 0.001 (0.001) Loss 1.9679 (1.7618) Prec@1 57.031 (59.796) Prec@5 81.250 (81.414) Epoch: [56][8210/10010] Time 0.340 (0.327) Data 0.001 (0.001) Loss 2.1367 (1.7619) Prec@1 55.469 (59.794) Prec@5 76.562 (81.413) Epoch: [56][8220/10010] Time 0.339 (0.327) Data 0.001 (0.001) Loss 1.9879 (1.7620) Prec@1 53.906 (59.792) Prec@5 75.000 (81.409) Epoch: [56][8230/10010] Time 0.334 (0.327) Data 0.001 (0.001) Loss 1.4390 (1.7619) Prec@1 70.312 (59.794) Prec@5 85.938 (81.410) Epoch: [56][8240/10010] Time 0.321 (0.327) Data 0.001 (0.001) Loss 1.4942 (1.7618) Prec@1 62.500 (59.796) Prec@5 82.031 (81.411) Epoch: [56][8250/10010] Time 0.317 (0.327) Data 0.001 (0.001) Loss 1.8787 (1.7618) Prec@1 55.469 (59.800) Prec@5 78.125 (81.413) Epoch: [56][8260/10010] Time 0.329 (0.327) Data 0.001 (0.001) Loss 1.6245 (1.7617) Prec@1 64.062 (59.800) Prec@5 82.812 (81.412) Epoch: [56][8270/10010] Time 0.332 (0.327) Data 0.001 (0.001) Loss 1.8570 (1.7619) Prec@1 60.938 (59.799) Prec@5 80.469 (81.411) Epoch: [56][8280/10010] Time 0.332 (0.327) Data 0.001 (0.001) Loss 1.6041 (1.7619) Prec@1 64.062 (59.799) Prec@5 83.594 (81.411) Epoch: [56][8290/10010] Time 0.330 (0.327) Data 0.001 (0.001) Loss 1.5926 (1.7618) Prec@1 61.719 (59.798) Prec@5 83.594 (81.410) Epoch: [56][8300/10010] Time 0.322 (0.327) Data 0.001 (0.001) Loss 1.6744 (1.7618) Prec@1 62.500 (59.801) Prec@5 82.031 (81.412) Epoch: [56][8310/10010] Time 0.329 (0.327) Data 0.000 (0.001) Loss 1.6574 (1.7617) Prec@1 59.375 (59.803) Prec@5 84.375 (81.413) Epoch: [56][8320/10010] Time 0.335 (0.327) Data 0.001 (0.001) Loss 1.9695 (1.7617) Prec@1 53.906 (59.802) Prec@5 81.250 (81.413) Epoch: [56][8330/10010] Time 0.321 (0.327) Data 0.001 (0.001) Loss 2.0395 (1.7618) Prec@1 47.656 (59.800) Prec@5 77.344 (81.413) Epoch: [56][8340/10010] Time 0.328 (0.327) Data 0.001 (0.001) Loss 1.7522 (1.7618) Prec@1 60.156 (59.800) Prec@5 81.250 (81.414) Epoch: [56][8350/10010] Time 0.323 (0.327) Data 0.001 (0.001) Loss 1.9537 (1.7618) Prec@1 54.688 (59.800) Prec@5 77.344 (81.413) Epoch: [56][8360/10010] Time 0.333 (0.327) Data 0.001 (0.001) Loss 1.8428 (1.7617) Prec@1 57.812 (59.801) Prec@5 79.688 (81.415) Epoch: [56][8370/10010] Time 0.339 (0.327) Data 0.000 (0.001) Loss 1.9501 (1.7617) Prec@1 55.469 (59.803) Prec@5 78.906 (81.414) Epoch: [56][8380/10010] Time 0.327 (0.327) Data 0.001 (0.001) Loss 1.8170 (1.7617) Prec@1 54.688 (59.802) Prec@5 80.469 (81.414) Epoch: [56][8390/10010] Time 0.315 (0.327) Data 0.001 (0.001) Loss 1.5926 (1.7616) Prec@1 64.062 (59.803) Prec@5 85.156 (81.415) Epoch: [56][8400/10010] Time 0.340 (0.327) Data 0.001 (0.001) Loss 1.7896 (1.7617) Prec@1 57.812 (59.801) Prec@5 78.125 (81.412) Epoch: [56][8410/10010] Time 0.315 (0.327) Data 0.001 (0.001) Loss 1.9675 (1.7618) Prec@1 55.469 (59.803) Prec@5 78.906 (81.411) Epoch: [56][8420/10010] Time 0.314 (0.327) Data 0.001 (0.001) Loss 2.0520 (1.7618) Prec@1 57.031 (59.803) Prec@5 79.688 (81.410) Epoch: [56][8430/10010] Time 0.318 (0.327) Data 0.000 (0.001) Loss 2.2590 (1.7619) Prec@1 54.688 (59.801) Prec@5 71.875 (81.409) Epoch: [56][8440/10010] Time 0.333 (0.327) Data 0.001 (0.001) Loss 1.6493 (1.7620) Prec@1 61.719 (59.799) Prec@5 82.812 (81.407) Epoch: [56][8450/10010] Time 0.308 (0.327) Data 0.001 (0.001) Loss 1.4689 (1.7621) Prec@1 68.750 (59.797) Prec@5 85.938 (81.404) Epoch: [56][8460/10010] Time 0.323 (0.327) Data 0.001 (0.001) Loss 1.8426 (1.7621) Prec@1 59.375 (59.798) Prec@5 82.812 (81.404) Epoch: [56][8470/10010] Time 0.328 (0.327) Data 0.001 (0.001) Loss 1.5376 (1.7621) Prec@1 69.531 (59.799) Prec@5 83.594 (81.403) Epoch: [56][8480/10010] Time 0.341 (0.327) Data 0.001 (0.001) Loss 1.9069 (1.7622) Prec@1 59.375 (59.797) Prec@5 79.688 (81.403) Epoch: [56][8490/10010] Time 0.339 (0.327) Data 0.001 (0.001) Loss 1.6608 (1.7621) Prec@1 64.062 (59.797) Prec@5 82.031 (81.402) Epoch: [56][8500/10010] Time 0.313 (0.327) Data 0.000 (0.001) Loss 1.9602 (1.7622) Prec@1 57.031 (59.796) Prec@5 79.688 (81.402) Epoch: [56][8510/10010] Time 0.315 (0.327) Data 0.001 (0.001) Loss 1.8778 (1.7622) Prec@1 53.906 (59.794) Prec@5 81.250 (81.401) Epoch: [56][8520/10010] Time 0.321 (0.327) Data 0.000 (0.001) Loss 1.8060 (1.7621) Prec@1 62.500 (59.796) Prec@5 82.031 (81.403) Epoch: [56][8530/10010] Time 0.335 (0.327) Data 0.001 (0.001) Loss 1.6472 (1.7621) Prec@1 60.156 (59.798) Prec@5 84.375 (81.403) Epoch: [56][8540/10010] Time 0.336 (0.327) Data 0.001 (0.001) Loss 1.5852 (1.7621) Prec@1 62.500 (59.798) Prec@5 83.594 (81.403) Epoch: [56][8550/10010] Time 0.320 (0.327) Data 0.001 (0.001) Loss 1.9137 (1.7621) Prec@1 63.281 (59.798) Prec@5 79.688 (81.402) Epoch: [56][8560/10010] Time 0.335 (0.327) Data 0.001 (0.001) Loss 1.8736 (1.7621) Prec@1 54.688 (59.798) Prec@5 80.469 (81.402) Epoch: [56][8570/10010] Time 0.326 (0.327) Data 0.001 (0.001) Loss 1.7478 (1.7621) Prec@1 64.062 (59.796) Prec@5 80.469 (81.403) Epoch: [56][8580/10010] Time 0.340 (0.327) Data 0.001 (0.001) Loss 1.6237 (1.7623) Prec@1 60.938 (59.793) Prec@5 84.375 (81.403) Epoch: [56][8590/10010] Time 0.342 (0.327) Data 0.000 (0.001) Loss 1.6953 (1.7622) Prec@1 62.500 (59.794) Prec@5 82.031 (81.403) Epoch: [56][8600/10010] Time 0.318 (0.327) Data 0.000 (0.001) Loss 1.3898 (1.7623) Prec@1 64.062 (59.794) Prec@5 89.062 (81.403) Epoch: [56][8610/10010] Time 0.316 (0.327) Data 0.001 (0.001) Loss 1.5749 (1.7622) Prec@1 57.812 (59.795) Prec@5 84.375 (81.405) Epoch: [56][8620/10010] Time 0.323 (0.327) Data 0.001 (0.001) Loss 1.9451 (1.7622) Prec@1 57.031 (59.792) Prec@5 78.125 (81.406) Epoch: [56][8630/10010] Time 0.343 (0.327) Data 0.000 (0.001) Loss 1.6793 (1.7623) Prec@1 59.375 (59.790) Prec@5 83.594 (81.404) Epoch: [56][8640/10010] Time 0.338 (0.327) Data 0.001 (0.001) Loss 1.8895 (1.7624) Prec@1 59.375 (59.787) Prec@5 76.562 (81.401) Epoch: [56][8650/10010] Time 0.318 (0.327) Data 0.001 (0.001) Loss 1.3739 (1.7623) Prec@1 64.062 (59.788) Prec@5 85.156 (81.403) Epoch: [56][8660/10010] Time 0.319 (0.327) Data 0.001 (0.001) Loss 1.9393 (1.7624) Prec@1 55.469 (59.786) Prec@5 78.906 (81.402) Epoch: [56][8670/10010] Time 0.315 (0.327) Data 0.001 (0.001) Loss 1.8499 (1.7624) Prec@1 55.469 (59.786) Prec@5 80.469 (81.403) Epoch: [56][8680/10010] Time 0.338 (0.327) Data 0.001 (0.001) Loss 1.8574 (1.7624) Prec@1 60.156 (59.786) Prec@5 80.469 (81.403) Epoch: [56][8690/10010] Time 0.328 (0.327) Data 0.001 (0.001) Loss 1.7090 (1.7624) Prec@1 64.062 (59.786) Prec@5 82.812 (81.403) Epoch: [56][8700/10010] Time 0.319 (0.327) Data 0.000 (0.001) Loss 1.8120 (1.7623) Prec@1 56.250 (59.789) Prec@5 81.250 (81.403) Epoch: [56][8710/10010] Time 0.324 (0.327) Data 0.000 (0.001) Loss 1.6880 (1.7624) Prec@1 56.250 (59.789) Prec@5 84.375 (81.404) Epoch: [56][8720/10010] Time 0.335 (0.327) Data 0.000 (0.001) Loss 1.7090 (1.7624) Prec@1 62.500 (59.791) Prec@5 82.031 (81.403) Epoch: [56][8730/10010] Time 0.331 (0.327) Data 0.001 (0.001) Loss 1.8192 (1.7624) Prec@1 53.906 (59.789) Prec@5 81.250 (81.402) Epoch: [56][8740/10010] Time 0.342 (0.327) Data 0.001 (0.001) Loss 1.9821 (1.7625) Prec@1 57.812 (59.787) Prec@5 78.125 (81.401) Epoch: [56][8750/10010] Time 0.337 (0.327) Data 0.001 (0.001) Loss 1.8942 (1.7624) Prec@1 60.156 (59.789) Prec@5 78.125 (81.402) Epoch: [56][8760/10010] Time 0.318 (0.327) Data 0.000 (0.001) Loss 1.5693 (1.7625) Prec@1 63.281 (59.789) Prec@5 85.156 (81.404) Epoch: [56][8770/10010] Time 0.317 (0.327) Data 0.000 (0.001) Loss 2.0657 (1.7625) Prec@1 47.656 (59.788) Prec@5 78.125 (81.402) Epoch: [56][8780/10010] Time 0.330 (0.327) Data 0.001 (0.001) Loss 1.7816 (1.7625) Prec@1 60.156 (59.789) Prec@5 79.688 (81.402) Epoch: [56][8790/10010] Time 0.321 (0.327) Data 0.001 (0.001) Loss 1.7687 (1.7626) Prec@1 60.938 (59.786) Prec@5 80.469 (81.400) Epoch: [56][8800/10010] Time 0.319 (0.327) Data 0.001 (0.001) Loss 1.3465 (1.7626) Prec@1 67.969 (59.789) Prec@5 89.062 (81.401) Epoch: [56][8810/10010] Time 0.326 (0.327) Data 0.001 (0.001) Loss 1.8160 (1.7627) Prec@1 53.906 (59.783) Prec@5 82.812 (81.399) Epoch: [56][8820/10010] Time 0.338 (0.327) Data 0.000 (0.001) Loss 1.6477 (1.7627) Prec@1 57.812 (59.781) Prec@5 78.125 (81.400) Epoch: [56][8830/10010] Time 0.339 (0.327) Data 0.001 (0.001) Loss 1.7987 (1.7627) Prec@1 53.906 (59.781) Prec@5 79.688 (81.400) Epoch: [56][8840/10010] Time 0.330 (0.327) Data 0.000 (0.001) Loss 1.9136 (1.7627) Prec@1 56.250 (59.780) Prec@5 74.219 (81.400) Epoch: [56][8850/10010] Time 0.313 (0.327) Data 0.001 (0.001) Loss 1.8974 (1.7628) Prec@1 59.375 (59.776) Prec@5 84.375 (81.399) Epoch: [56][8860/10010] Time 0.336 (0.327) Data 0.001 (0.001) Loss 1.6342 (1.7629) Prec@1 62.500 (59.777) Prec@5 79.688 (81.398) Epoch: [56][8870/10010] Time 0.318 (0.327) Data 0.001 (0.001) Loss 1.9643 (1.7628) Prec@1 56.250 (59.778) Prec@5 76.562 (81.400) Epoch: [56][8880/10010] Time 0.327 (0.327) Data 0.000 (0.001) Loss 1.7984 (1.7629) Prec@1 59.375 (59.778) Prec@5 84.375 (81.400) Epoch: [56][8890/10010] Time 0.318 (0.327) Data 0.000 (0.001) Loss 1.7855 (1.7629) Prec@1 59.375 (59.778) Prec@5 81.250 (81.401) Epoch: [56][8900/10010] Time 0.337 (0.327) Data 0.001 (0.001) Loss 1.7244 (1.7629) Prec@1 57.812 (59.778) Prec@5 81.250 (81.400) Epoch: [56][8910/10010] Time 0.319 (0.327) Data 0.001 (0.001) Loss 1.8389 (1.7630) Prec@1 60.156 (59.778) Prec@5 82.031 (81.400) Epoch: [56][8920/10010] Time 0.341 (0.327) Data 0.001 (0.001) Loss 1.8388 (1.7630) Prec@1 58.594 (59.779) Prec@5 81.250 (81.400) Epoch: [56][8930/10010] Time 0.316 (0.327) Data 0.001 (0.001) Loss 1.6489 (1.7630) Prec@1 59.375 (59.778) Prec@5 85.156 (81.401) Epoch: [56][8940/10010] Time 0.331 (0.327) Data 0.001 (0.001) Loss 2.3448 (1.7632) Prec@1 46.094 (59.773) Prec@5 69.531 (81.396) Epoch: [56][8950/10010] Time 0.333 (0.327) Data 0.001 (0.001) Loss 1.8675 (1.7633) Prec@1 55.469 (59.771) Prec@5 81.250 (81.394) Epoch: [56][8960/10010] Time 0.323 (0.327) Data 0.002 (0.001) Loss 1.7533 (1.7634) Prec@1 53.125 (59.769) Prec@5 85.156 (81.394) Epoch: [56][8970/10010] Time 0.319 (0.327) Data 0.001 (0.001) Loss 1.6676 (1.7635) Prec@1 57.812 (59.766) Prec@5 81.250 (81.395) Epoch: [56][8980/10010] Time 0.321 (0.327) Data 0.001 (0.001) Loss 1.8373 (1.7635) Prec@1 60.938 (59.765) Prec@5 82.812 (81.395) Epoch: [56][8990/10010] Time 0.336 (0.327) Data 0.001 (0.001) Loss 1.6257 (1.7636) Prec@1 66.406 (59.762) Prec@5 85.938 (81.394) Epoch: [56][9000/10010] Time 0.320 (0.327) Data 0.001 (0.001) Loss 1.8277 (1.7636) Prec@1 57.031 (59.762) Prec@5 78.906 (81.394) Epoch: [56][9010/10010] Time 0.328 (0.327) Data 0.000 (0.001) Loss 1.7089 (1.7637) Prec@1 59.375 (59.760) Prec@5 83.594 (81.392) Epoch: [56][9020/10010] Time 0.340 (0.327) Data 0.000 (0.001) Loss 1.6090 (1.7637) Prec@1 61.719 (59.759) Prec@5 82.812 (81.392) Epoch: [56][9030/10010] Time 0.309 (0.327) Data 0.001 (0.001) Loss 1.7653 (1.7638) Prec@1 60.938 (59.758) Prec@5 78.906 (81.391) Epoch: [56][9040/10010] Time 0.324 (0.327) Data 0.000 (0.001) Loss 2.1803 (1.7639) Prec@1 57.812 (59.756) Prec@5 79.688 (81.390) Epoch: [56][9050/10010] Time 0.326 (0.327) Data 0.001 (0.001) Loss 1.5424 (1.7638) Prec@1 62.500 (59.757) Prec@5 85.938 (81.390) Epoch: [56][9060/10010] Time 0.323 (0.327) Data 0.001 (0.001) Loss 1.6481 (1.7638) Prec@1 58.594 (59.757) Prec@5 82.031 (81.390) Epoch: [56][9070/10010] Time 0.339 (0.327) Data 0.000 (0.001) Loss 1.8654 (1.7637) Prec@1 64.062 (59.758) Prec@5 76.562 (81.391) Epoch: [56][9080/10010] Time 0.340 (0.327) Data 0.001 (0.001) Loss 1.8945 (1.7638) Prec@1 60.156 (59.758) Prec@5 79.688 (81.389) Epoch: [56][9090/10010] Time 0.334 (0.327) Data 0.001 (0.001) Loss 1.5661 (1.7639) Prec@1 65.625 (59.756) Prec@5 85.938 (81.389) Epoch: [56][9100/10010] Time 0.338 (0.327) Data 0.001 (0.001) Loss 1.8021 (1.7639) Prec@1 60.156 (59.758) Prec@5 78.906 (81.390) Epoch: [56][9110/10010] Time 0.320 (0.327) Data 0.001 (0.001) Loss 2.1158 (1.7640) Prec@1 59.375 (59.756) Prec@5 75.000 (81.386) Epoch: [56][9120/10010] Time 0.324 (0.327) Data 0.001 (0.001) Loss 1.7199 (1.7641) Prec@1 58.594 (59.755) Prec@5 83.594 (81.384) Epoch: [56][9130/10010] Time 0.319 (0.327) Data 0.001 (0.001) Loss 1.7617 (1.7642) Prec@1 62.500 (59.753) Prec@5 78.906 (81.383) Epoch: [56][9140/10010] Time 0.338 (0.327) Data 0.001 (0.001) Loss 2.1122 (1.7643) Prec@1 57.031 (59.753) Prec@5 76.562 (81.381) Epoch: [56][9150/10010] Time 0.318 (0.327) Data 0.001 (0.001) Loss 2.0657 (1.7642) Prec@1 58.594 (59.754) Prec@5 80.469 (81.380) Epoch: [56][9160/10010] Time 0.313 (0.327) Data 0.001 (0.001) Loss 1.5304 (1.7642) Prec@1 58.594 (59.753) Prec@5 84.375 (81.381) Epoch: [56][9170/10010] Time 0.317 (0.327) Data 0.001 (0.001) Loss 1.6958 (1.7643) Prec@1 62.500 (59.750) Prec@5 82.812 (81.381) Epoch: [56][9180/10010] Time 0.322 (0.327) Data 0.001 (0.001) Loss 1.9034 (1.7643) Prec@1 58.594 (59.750) Prec@5 77.344 (81.380) Epoch: [56][9190/10010] Time 0.318 (0.327) Data 0.001 (0.001) Loss 1.5790 (1.7644) Prec@1 61.719 (59.750) Prec@5 85.938 (81.380) Epoch: [56][9200/10010] Time 0.320 (0.327) Data 0.001 (0.001) Loss 1.7225 (1.7645) Prec@1 57.812 (59.748) Prec@5 78.125 (81.377) Epoch: [56][9210/10010] Time 0.335 (0.327) Data 0.000 (0.001) Loss 1.8694 (1.7645) Prec@1 54.688 (59.747) Prec@5 78.906 (81.377) Epoch: [56][9220/10010] Time 0.323 (0.327) Data 0.001 (0.001) Loss 1.6317 (1.7645) Prec@1 62.500 (59.746) Prec@5 85.156 (81.377) Epoch: [56][9230/10010] Time 0.317 (0.327) Data 0.001 (0.001) Loss 1.7759 (1.7645) Prec@1 53.906 (59.745) Prec@5 85.938 (81.377) Epoch: [56][9240/10010] Time 0.327 (0.327) Data 0.000 (0.001) Loss 1.8484 (1.7646) Prec@1 57.031 (59.746) Prec@5 78.906 (81.376) Epoch: [56][9250/10010] Time 0.321 (0.327) Data 0.000 (0.001) Loss 1.7204 (1.7645) Prec@1 58.594 (59.747) Prec@5 81.250 (81.376) Epoch: [56][9260/10010] Time 0.325 (0.327) Data 0.001 (0.001) Loss 1.6326 (1.7646) Prec@1 62.500 (59.746) Prec@5 81.250 (81.374) Epoch: [56][9270/10010] Time 0.336 (0.327) Data 0.001 (0.001) Loss 1.9158 (1.7646) Prec@1 61.719 (59.746) Prec@5 79.688 (81.374) Epoch: [56][9280/10010] Time 0.320 (0.327) Data 0.001 (0.001) Loss 1.7672 (1.7647) Prec@1 56.250 (59.745) Prec@5 82.031 (81.373) Epoch: [56][9290/10010] Time 0.318 (0.327) Data 0.001 (0.001) Loss 1.7301 (1.7647) Prec@1 58.594 (59.745) Prec@5 83.594 (81.373) Epoch: [56][9300/10010] Time 0.322 (0.327) Data 0.001 (0.001) Loss 2.0479 (1.7648) Prec@1 54.688 (59.744) Prec@5 78.906 (81.372) Epoch: [56][9310/10010] Time 0.320 (0.327) Data 0.000 (0.001) Loss 1.9655 (1.7650) Prec@1 52.344 (59.742) Prec@5 74.219 (81.369) Epoch: [56][9320/10010] Time 0.317 (0.327) Data 0.001 (0.001) Loss 1.9133 (1.7649) Prec@1 54.688 (59.745) Prec@5 78.125 (81.370) Epoch: [56][9330/10010] Time 0.322 (0.327) Data 0.001 (0.001) Loss 1.9890 (1.7650) Prec@1 57.031 (59.742) Prec@5 78.125 (81.369) Epoch: [56][9340/10010] Time 0.320 (0.327) Data 0.001 (0.001) Loss 1.8609 (1.7651) Prec@1 54.688 (59.741) Prec@5 78.125 (81.368) Epoch: [56][9350/10010] Time 0.338 (0.327) Data 0.000 (0.001) Loss 1.8349 (1.7651) Prec@1 62.500 (59.740) Prec@5 82.031 (81.367) Epoch: [56][9360/10010] Time 0.333 (0.327) Data 0.001 (0.001) Loss 2.2349 (1.7652) Prec@1 46.094 (59.738) Prec@5 74.219 (81.366) Epoch: [56][9370/10010] Time 0.315 (0.327) Data 0.000 (0.001) Loss 1.8425 (1.7651) Prec@1 55.469 (59.739) Prec@5 80.469 (81.365) Epoch: [56][9380/10010] Time 0.336 (0.327) Data 0.001 (0.001) Loss 1.8505 (1.7651) Prec@1 55.469 (59.740) Prec@5 82.812 (81.367) Epoch: [56][9390/10010] Time 0.322 (0.327) Data 0.001 (0.001) Loss 1.6929 (1.7651) Prec@1 60.938 (59.739) Prec@5 81.250 (81.366) Epoch: [56][9400/10010] Time 0.335 (0.327) Data 0.001 (0.001) Loss 1.6270 (1.7651) Prec@1 64.062 (59.740) Prec@5 83.594 (81.366) Epoch: [56][9410/10010] Time 0.331 (0.327) Data 0.001 (0.001) Loss 1.6127 (1.7651) Prec@1 61.719 (59.740) Prec@5 85.156 (81.366) Epoch: [56][9420/10010] Time 0.338 (0.327) Data 0.001 (0.001) Loss 1.8668 (1.7652) Prec@1 57.812 (59.736) Prec@5 78.125 (81.366) Epoch: [56][9430/10010] Time 0.326 (0.327) Data 0.001 (0.001) Loss 1.5977 (1.7652) Prec@1 66.406 (59.737) Prec@5 82.812 (81.366) Epoch: [56][9440/10010] Time 0.323 (0.327) Data 0.001 (0.001) Loss 1.8538 (1.7653) Prec@1 56.250 (59.736) Prec@5 82.812 (81.365) Epoch: [56][9450/10010] Time 0.316 (0.327) Data 0.001 (0.001) Loss 2.0088 (1.7655) Prec@1 57.812 (59.733) Prec@5 78.125 (81.364) Epoch: [56][9460/10010] Time 0.331 (0.327) Data 0.001 (0.001) Loss 1.8848 (1.7655) Prec@1 53.906 (59.732) Prec@5 78.906 (81.363) Epoch: [56][9470/10010] Time 0.324 (0.327) Data 0.001 (0.001) Loss 1.9116 (1.7655) Prec@1 53.906 (59.732) Prec@5 80.469 (81.364) Epoch: [56][9480/10010] Time 0.327 (0.327) Data 0.000 (0.001) Loss 1.6201 (1.7654) Prec@1 61.719 (59.731) Prec@5 80.469 (81.364) Epoch: [56][9490/10010] Time 0.335 (0.327) Data 0.001 (0.001) Loss 1.6343 (1.7654) Prec@1 63.281 (59.733) Prec@5 82.031 (81.364) Epoch: [56][9500/10010] Time 0.323 (0.327) Data 0.001 (0.001) Loss 2.0197 (1.7654) Prec@1 57.812 (59.732) Prec@5 78.125 (81.363) Epoch: [56][9510/10010] Time 0.338 (0.327) Data 0.000 (0.001) Loss 1.5994 (1.7654) Prec@1 62.500 (59.732) Prec@5 83.594 (81.365) Epoch: [56][9520/10010] Time 0.326 (0.327) Data 0.000 (0.001) Loss 1.7785 (1.7654) Prec@1 57.812 (59.732) Prec@5 78.125 (81.364) Epoch: [56][9530/10010] Time 0.320 (0.327) Data 0.001 (0.001) Loss 1.7402 (1.7654) Prec@1 54.688 (59.730) Prec@5 82.812 (81.363) Epoch: [56][9540/10010] Time 0.333 (0.327) Data 0.001 (0.001) Loss 1.8459 (1.7654) Prec@1 58.594 (59.731) Prec@5 82.031 (81.364) Epoch: [56][9550/10010] Time 0.318 (0.327) Data 0.001 (0.001) Loss 1.6582 (1.7654) Prec@1 59.375 (59.732) Prec@5 81.250 (81.364) Epoch: [56][9560/10010] Time 0.331 (0.327) Data 0.001 (0.001) Loss 1.6305 (1.7653) Prec@1 63.281 (59.734) Prec@5 80.469 (81.365) Epoch: [56][9570/10010] Time 0.328 (0.327) Data 0.000 (0.001) Loss 1.7682 (1.7653) Prec@1 64.062 (59.733) Prec@5 82.031 (81.365) Epoch: [56][9580/10010] Time 0.331 (0.327) Data 0.001 (0.001) Loss 1.7822 (1.7652) Prec@1 61.719 (59.732) Prec@5 79.688 (81.364) Epoch: [56][9590/10010] Time 0.318 (0.327) Data 0.000 (0.001) Loss 1.8323 (1.7653) Prec@1 57.812 (59.730) Prec@5 80.469 (81.363) Epoch: [56][9600/10010] Time 0.321 (0.327) Data 0.001 (0.001) Loss 1.4592 (1.7653) Prec@1 64.062 (59.730) Prec@5 86.719 (81.364) Epoch: [56][9610/10010] Time 0.338 (0.327) Data 0.000 (0.001) Loss 1.6742 (1.7653) Prec@1 61.719 (59.731) Prec@5 81.250 (81.363) Epoch: [56][9620/10010] Time 0.315 (0.327) Data 0.001 (0.001) Loss 2.0161 (1.7652) Prec@1 59.375 (59.733) Prec@5 76.562 (81.364) Epoch: [56][9630/10010] Time 0.332 (0.327) Data 0.000 (0.001) Loss 1.8597 (1.7652) Prec@1 61.719 (59.733) Prec@5 82.031 (81.365) Epoch: [56][9640/10010] Time 0.320 (0.327) Data 0.001 (0.001) Loss 1.5853 (1.7652) Prec@1 62.500 (59.733) Prec@5 84.375 (81.366) Epoch: [56][9650/10010] Time 0.330 (0.327) Data 0.001 (0.001) Loss 1.5804 (1.7650) Prec@1 69.531 (59.736) Prec@5 82.812 (81.368) Epoch: [56][9660/10010] Time 0.314 (0.327) Data 0.001 (0.001) Loss 1.4478 (1.7652) Prec@1 66.406 (59.734) Prec@5 87.500 (81.367) Epoch: [56][9670/10010] Time 0.322 (0.327) Data 0.000 (0.001) Loss 1.7344 (1.7652) Prec@1 62.500 (59.733) Prec@5 82.031 (81.367) Epoch: [56][9680/10010] Time 0.343 (0.327) Data 0.001 (0.001) Loss 1.8921 (1.7652) Prec@1 53.125 (59.732) Prec@5 77.344 (81.367) Epoch: [56][9690/10010] Time 0.317 (0.327) Data 0.000 (0.001) Loss 2.2723 (1.7654) Prec@1 51.562 (59.730) Prec@5 75.000 (81.365) Epoch: [56][9700/10010] Time 0.342 (0.327) Data 0.001 (0.001) Loss 1.4249 (1.7653) Prec@1 60.938 (59.732) Prec@5 85.938 (81.366) Epoch: [56][9710/10010] Time 0.341 (0.327) Data 0.000 (0.001) Loss 1.5608 (1.7654) Prec@1 67.969 (59.731) Prec@5 87.500 (81.365) Epoch: [56][9720/10010] Time 0.339 (0.327) Data 0.000 (0.001) Loss 1.6279 (1.7655) Prec@1 60.938 (59.728) Prec@5 82.812 (81.363) Epoch: [56][9730/10010] Time 0.335 (0.327) Data 0.001 (0.001) Loss 1.4920 (1.7655) Prec@1 68.750 (59.729) Prec@5 88.281 (81.361) Epoch: [56][9740/10010] Time 0.321 (0.327) Data 0.001 (0.001) Loss 1.4513 (1.7655) Prec@1 68.750 (59.729) Prec@5 85.938 (81.360) Epoch: [56][9750/10010] Time 0.332 (0.327) Data 0.001 (0.001) Loss 1.7638 (1.7655) Prec@1 57.812 (59.728) Prec@5 80.469 (81.360) Epoch: [56][9760/10010] Time 0.328 (0.327) Data 0.001 (0.001) Loss 1.9728 (1.7655) Prec@1 53.125 (59.728) Prec@5 82.031 (81.359) Epoch: [56][9770/10010] Time 0.336 (0.327) Data 0.000 (0.001) Loss 1.6257 (1.7654) Prec@1 58.594 (59.728) Prec@5 85.156 (81.361) Epoch: [56][9780/10010] Time 0.314 (0.327) Data 0.001 (0.001) Loss 2.0309 (1.7654) Prec@1 53.125 (59.729) Prec@5 75.781 (81.360) Epoch: [56][9790/10010] Time 0.338 (0.327) Data 0.000 (0.001) Loss 1.5740 (1.7654) Prec@1 60.156 (59.730) Prec@5 87.500 (81.361) Epoch: [56][9800/10010] Time 0.336 (0.327) Data 0.001 (0.001) Loss 1.7198 (1.7654) Prec@1 61.719 (59.729) Prec@5 78.906 (81.361) Epoch: [56][9810/10010] Time 0.331 (0.327) Data 0.001 (0.001) Loss 2.1382 (1.7654) Prec@1 50.000 (59.730) Prec@5 72.656 (81.361) Epoch: [56][9820/10010] Time 0.332 (0.327) Data 0.001 (0.001) Loss 2.1172 (1.7655) Prec@1 55.469 (59.729) Prec@5 71.875 (81.360) Epoch: [56][9830/10010] Time 0.320 (0.327) Data 0.001 (0.001) Loss 2.3600 (1.7656) Prec@1 50.781 (59.730) Prec@5 74.219 (81.358) Epoch: [56][9840/10010] Time 0.347 (0.327) Data 0.000 (0.001) Loss 1.9997 (1.7656) Prec@1 55.469 (59.729) Prec@5 78.125 (81.358) Epoch: [56][9850/10010] Time 0.320 (0.327) Data 0.001 (0.001) Loss 1.7553 (1.7656) Prec@1 60.156 (59.730) Prec@5 80.469 (81.358) Epoch: [56][9860/10010] Time 0.337 (0.327) Data 0.001 (0.001) Loss 1.8706 (1.7656) Prec@1 55.469 (59.728) Prec@5 80.469 (81.358) /data/vision/torralba/deepscene/lib/anaconda2/lib/python2.7/site-packages/PIL/TiffImagePlugin.py:709: UserWarning: Corrupt EXIF data. Expecting to read 4 bytes but only got 0. warnings.warn(str(msg)) Epoch: [56][9870/10010] Time 0.330 (0.327) Data 0.001 (0.001) Loss 1.6676 (1.7655) Prec@1 60.938 (59.729) Prec@5 85.156 (81.359) Epoch: [56][9880/10010] Time 0.320 (0.327) Data 0.001 (0.001) Loss 2.1090 (1.7656) Prec@1 52.344 (59.727) Prec@5 79.688 (81.360) Epoch: [56][9890/10010] Time 0.321 (0.327) Data 0.001 (0.001) Loss 1.4410 (1.7655) Prec@1 64.844 (59.727) Prec@5 85.938 (81.360) Epoch: [56][9900/10010] Time 0.337 (0.327) Data 0.001 (0.001) Loss 1.8387 (1.7655) Prec@1 61.719 (59.726) Prec@5 78.125 (81.359) Epoch: [56][9910/10010] Time 0.338 (0.327) Data 0.001 (0.001) Loss 1.9200 (1.7655) Prec@1 60.156 (59.726) Prec@5 74.219 (81.359) Epoch: [56][9920/10010] Time 0.313 (0.327) Data 0.001 (0.001) Loss 1.5059 (1.7656) Prec@1 61.719 (59.724) Prec@5 86.719 (81.359) Epoch: [56][9930/10010] Time 0.314 (0.327) Data 0.001 (0.001) Loss 1.6929 (1.7656) Prec@1 61.719 (59.725) Prec@5 83.594 (81.360) Epoch: [56][9940/10010] Time 0.332 (0.327) Data 0.001 (0.001) Loss 2.0439 (1.7656) Prec@1 52.344 (59.725) Prec@5 75.781 (81.359) Epoch: [56][9950/10010] Time 0.334 (0.327) Data 0.001 (0.001) Loss 1.7257 (1.7657) Prec@1 53.906 (59.721) Prec@5 82.812 (81.358) Epoch: [56][9960/10010] Time 0.336 (0.327) Data 0.001 (0.001) Loss 1.8489 (1.7658) Prec@1 65.625 (59.720) Prec@5 79.688 (81.357) Epoch: [56][9970/10010] Time 0.331 (0.327) Data 0.001 (0.001) Loss 1.8575 (1.7659) Prec@1 63.281 (59.719) Prec@5 79.688 (81.355) Epoch: [56][9980/10010] Time 0.312 (0.327) Data 0.000 (0.001) Loss 1.5726 (1.7659) Prec@1 65.625 (59.718) Prec@5 85.156 (81.353) Epoch: [56][9990/10010] Time 0.332 (0.327) Data 0.000 (0.001) Loss 1.6102 (1.7659) Prec@1 61.719 (59.717) Prec@5 79.688 (81.352) Epoch: [56][10000/10010] Time 0.327 (0.327) Data 0.000 (0.001) Loss 1.5958 (1.7660) Prec@1 61.719 (59.717) Prec@5 85.938 (81.351) Test: [0/391] Time 1.328 (1.328) Loss 0.6501 (0.6501) Prec@1 81.250 (81.250) Prec@5 96.875 (96.875) Test: [10/391] Time 0.107 (0.221) Loss 1.0632 (0.7959) Prec@1 71.094 (79.901) Prec@5 89.844 (94.105) Test: [20/391] Time 0.104 (0.167) Loss 1.1663 (1.0969) Prec@1 73.438 (71.949) Prec@5 88.281 (90.513) Test: [30/391] Time 0.105 (0.147) Loss 1.8432 (1.2737) Prec@1 65.625 (68.044) Prec@5 81.250 (88.861) Test: [40/391] Time 0.178 (0.138) Loss 1.0299 (1.1765) Prec@1 75.000 (70.332) Prec@5 92.969 (89.729) Test: [50/391] Time 0.104 (0.132) Loss 0.6865 (1.1984) Prec@1 83.594 (70.129) Prec@5 92.969 (89.476) Test: [60/391] Time 0.101 (0.127) Loss 0.7677 (1.1365) Prec@1 78.125 (71.747) Prec@5 95.312 (90.177) Test: [70/391] Time 0.107 (0.124) Loss 1.3752 (1.1717) Prec@1 64.844 (70.687) Prec@5 92.969 (90.053) Test: [80/391] Time 0.118 (0.123) Loss 1.4035 (1.2082) Prec@1 60.156 (69.261) Prec@5 88.281 (89.853) Test: [90/391] Time 0.109 (0.122) Loss 1.2539 (1.2107) Prec@1 56.250 (69.188) Prec@5 93.750 (90.110) Test: [100/391] Time 0.106 (0.120) Loss 0.7853 (1.1950) Prec@1 79.688 (69.090) Prec@5 96.094 (90.501) Test: [110/391] Time 0.108 (0.119) Loss 1.2109 (1.1895) Prec@1 54.688 (68.799) Prec@5 95.312 (90.843) Test: [120/391] Time 0.107 (0.118) Loss 0.9027 (1.1849) Prec@1 75.781 (69.066) Prec@5 93.750 (90.922) Test: [130/391] Time 0.117 (0.117) Loss 0.6441 (1.1740) Prec@1 87.500 (69.579) Prec@5 94.531 (91.007) Test: [140/391] Time 0.106 (0.117) Loss 1.7395 (1.1748) Prec@1 53.125 (69.587) Prec@5 85.156 (90.985) Test: [150/391] Time 0.108 (0.116) Loss 1.0146 (1.1798) Prec@1 71.094 (69.583) Prec@5 90.625 (90.847) Test: [160/391] Time 0.111 (0.116) Loss 1.5017 (1.1837) Prec@1 58.594 (69.589) Prec@5 85.156 (90.712) Test: [170/391] Time 0.101 (0.115) Loss 1.8654 (1.2217) Prec@1 57.031 (68.914) Prec@5 82.031 (90.200) Test: [180/391] Time 0.104 (0.114) Loss 2.5553 (1.2625) Prec@1 39.062 (68.072) Prec@5 78.125 (89.662) Test: [190/391] Time 0.113 (0.114) Loss 2.1468 (1.2999) Prec@1 50.781 (67.417) Prec@5 80.469 (89.120) Test: [200/391] Time 0.117 (0.114) Loss 1.1954 (1.3356) Prec@1 71.094 (66.853) Prec@5 89.844 (88.619) Test: [210/391] Time 0.115 (0.114) Loss 1.8932 (1.3488) Prec@1 57.812 (66.584) Prec@5 82.031 (88.418) Test: [220/391] Time 0.106 (0.114) Loss 0.8194 (1.3584) Prec@1 81.250 (66.463) Prec@5 93.750 (88.221) Test: [230/391] Time 0.103 (0.114) Loss 2.3169 (1.3705) Prec@1 45.312 (66.322) Prec@5 78.125 (88.055) Test: [240/391] Time 0.098 (0.113) Loss 1.8578 (1.3835) Prec@1 63.281 (66.166) Prec@5 82.812 (87.831) Test: [250/391] Time 0.106 (0.113) Loss 1.1600 (1.4098) Prec@1 71.094 (65.588) Prec@5 89.062 (87.463) Test: [260/391] Time 0.112 (0.113) Loss 1.8948 (1.4279) Prec@1 57.031 (65.245) Prec@5 79.688 (87.222) Test: [270/391] Time 0.103 (0.112) Loss 2.1144 (1.4400) Prec@1 53.125 (65.017) Prec@5 81.250 (87.010) Test: [280/391] Time 0.112 (0.112) Loss 1.4041 (1.4472) Prec@1 62.500 (64.983) Prec@5 89.844 (86.933) Test: [290/391] Time 0.115 (0.112) Loss 1.7629 (1.4588) Prec@1 50.000 (64.779) Prec@5 85.938 (86.711) Test: [300/391] Time 0.100 (0.112) Loss 1.5634 (1.4716) Prec@1 76.562 (64.610) Prec@5 83.594 (86.540) Test: [310/391] Time 0.103 (0.112) Loss 1.5111 (1.4833) Prec@1 65.625 (64.407) Prec@5 88.281 (86.360) Test: [320/391] Time 0.100 (0.111) Loss 1.1918 (1.4927) Prec@1 73.438 (64.235) Prec@5 92.188 (86.225) Test: [330/391] Time 0.107 (0.112) Loss 2.3174 (1.5163) Prec@1 50.000 (63.779) Prec@5 75.000 (85.883) Test: [340/391] Time 0.106 (0.111) Loss 1.3165 (1.5230) Prec@1 63.281 (63.547) Prec@5 93.750 (85.825) Test: [350/391] Time 0.111 (0.111) Loss 1.7625 (1.5287) Prec@1 57.031 (63.401) Prec@5 85.156 (85.733) Test: [360/391] Time 0.104 (0.111) Loss 1.6874 (1.5374) Prec@1 50.781 (63.242) Prec@5 86.719 (85.626) Test: [370/391] Time 0.102 (0.111) Loss 1.1644 (1.5292) Prec@1 64.844 (63.361) Prec@5 92.969 (85.718) Test: [380/391] Time 0.106 (0.111) Loss 1.4386 (1.5305) Prec@1 63.281 (63.337) Prec@5 89.062 (85.696) Test: [390/391] Time 0.073 (0.111) Loss 2.3804 (1.5245) Prec@1 41.250 (63.516) Prec@5 72.500 (85.764) * Prec@1 63.516 Prec@5 85.764 Epoch: [57][0/10010] Time 2.705 (2.705) Data 2.526 (2.526) Loss 1.7306 (1.7306) Prec@1 54.688 (54.688) Prec@5 80.469 (80.469) Epoch: [57][10/10010] Time 0.316 (0.533) Data 0.001 (0.230) Loss 1.6452 (1.7031) Prec@1 67.188 (60.582) Prec@5 83.594 (82.386) Epoch: [57][20/10010] Time 0.318 (0.430) Data 0.000 (0.121) Loss 1.8223 (1.7490) Prec@1 62.500 (59.487) Prec@5 80.469 (82.329) Epoch: [57][30/10010] Time 0.317 (0.393) Data 0.000 (0.082) Loss 1.6744 (1.7596) Prec@1 58.594 (59.577) Prec@5 82.812 (81.956) Epoch: [57][40/10010] Time 0.329 (0.376) Data 0.001 (0.062) Loss 1.5744 (1.7361) Prec@1 60.938 (60.385) Prec@5 82.812 (82.203) Epoch: [57][50/10010] Time 0.328 (0.365) Data 0.001 (0.050) Loss 2.1075 (1.7481) Prec@1 57.812 (60.371) Prec@5 72.656 (81.786) Epoch: [57][60/10010] Time 0.316 (0.358) Data 0.001 (0.042) Loss 1.6526 (1.7418) Prec@1 58.594 (60.476) Prec@5 83.594 (81.865) Epoch: [57][70/10010] Time 0.342 (0.354) Data 0.000 (0.036) Loss 1.6985 (1.7513) Prec@1 60.938 (60.167) Prec@5 82.031 (81.602) Epoch: [57][80/10010] Time 0.339 (0.352) Data 0.001 (0.032) Loss 1.6295 (1.7658) Prec@1 58.594 (59.828) Prec@5 85.938 (81.481) Epoch: [57][90/10010] Time 0.314 (0.349) Data 0.001 (0.028) Loss 1.7284 (1.7617) Prec@1 57.031 (59.985) Prec@5 82.031 (81.473) Epoch: [57][100/10010] Time 0.332 (0.347) Data 0.000 (0.026) Loss 1.9600 (1.7656) Prec@1 55.469 (59.870) Prec@5 77.344 (81.474) Epoch: [57][110/10010] Time 0.317 (0.345) Data 0.001 (0.023) Loss 1.7814 (1.7599) Prec@1 62.500 (59.910) Prec@5 82.812 (81.630) Epoch: [57][120/10010] Time 0.309 (0.344) Data 0.001 (0.022) Loss 1.8301 (1.7629) Prec@1 58.594 (59.801) Prec@5 82.812 (81.586) Epoch: [57][130/10010] Time 0.315 (0.342) Data 0.000 (0.020) Loss 1.5072 (1.7645) Prec@1 63.281 (59.763) Prec@5 85.156 (81.489) Epoch: [57][140/10010] Time 0.327 (0.340) Data 0.000 (0.019) Loss 1.7165 (1.7593) Prec@1 61.719 (59.907) Prec@5 80.469 (81.527) Epoch: [57][150/10010] Time 0.309 (0.339) Data 0.001 (0.017) Loss 1.5725 (1.7650) Prec@1 61.719 (59.846) Prec@5 87.500 (81.462) Epoch: [57][160/10010] Time 0.325 (0.338) Data 0.001 (0.016) Loss 1.9570 (1.7726) Prec@1 63.281 (59.826) Prec@5 79.688 (81.308) Epoch: [57][170/10010] Time 0.342 (0.338) Data 0.000 (0.015) Loss 1.5591 (1.7656) Prec@1 58.594 (59.882) Prec@5 86.719 (81.456) Epoch: [57][180/10010] Time 0.328 (0.337) Data 0.001 (0.015) Loss 2.0869 (1.7680) Prec@1 53.906 (59.837) Prec@5 78.906 (81.431) Epoch: [57][190/10010] Time 0.312 (0.337) Data 0.000 (0.014) Loss 1.9900 (1.7693) Prec@1 55.469 (59.817) Prec@5 77.344 (81.422) Epoch: [57][200/10010] Time 0.318 (0.336) Data 0.000 (0.013) Loss 1.7732 (1.7744) Prec@1 64.062 (59.764) Prec@5 79.688 (81.273) Epoch: [57][210/10010] Time 0.335 (0.336) Data 0.000 (0.013) Loss 1.5858 (1.7696) Prec@1 64.062 (59.864) Prec@5 82.031 (81.298) Epoch: [57][220/10010] Time 0.333 (0.335) Data 0.001 (0.012) Loss 1.9223 (1.7685) Prec@1 54.688 (59.962) Prec@5 78.906 (81.292) Epoch: [57][230/10010] Time 0.329 (0.335) Data 0.001 (0.012) Loss 1.6748 (1.7648) Prec@1 64.062 (60.045) Prec@5 82.812 (81.351) Epoch: [57][240/10010] Time 0.331 (0.335) Data 0.001 (0.011) Loss 1.5518 (1.7608) Prec@1 62.500 (60.049) Prec@5 85.156 (81.380) Epoch: [57][250/10010] Time 0.330 (0.335) Data 0.001 (0.011) Loss 1.8036 (1.7608) Prec@1 59.375 (60.038) Prec@5 79.688 (81.412) Epoch: [57][260/10010] Time 0.338 (0.335) Data 0.001 (0.010) Loss 1.9102 (1.7567) Prec@1 53.906 (60.048) Prec@5 80.469 (81.483) Epoch: [57][270/10010] Time 0.317 (0.334) Data 0.001 (0.010) Loss 1.8614 (1.7548) Prec@1 61.719 (60.081) Prec@5 78.125 (81.518) Epoch: [57][280/10010] Time 0.332 (0.334) Data 0.001 (0.010) Loss 1.8313 (1.7542) Prec@1 59.375 (60.123) Prec@5 81.250 (81.550) Epoch: [57][290/10010] Time 0.337 (0.334) Data 0.000 (0.009) Loss 1.8254 (1.7554) Prec@1 60.938 (60.108) Prec@5 78.906 (81.518) Epoch: [57][300/10010] Time 0.326 (0.334) Data 0.001 (0.009) Loss 1.6495 (1.7539) Prec@1 65.625 (60.151) Prec@5 85.156 (81.512) Epoch: [57][310/10010] Time 0.330 (0.333) Data 0.000 (0.009) Loss 1.8701 (1.7536) Prec@1 57.031 (60.149) Prec@5 78.125 (81.504) Epoch: [57][320/10010] Time 0.326 (0.333) Data 0.000 (0.008) Loss 1.9180 (1.7559) Prec@1 57.031 (60.117) Prec@5 83.594 (81.496) Epoch: [57][330/10010] Time 0.323 (0.333) Data 0.001 (0.008) Loss 1.6008 (1.7560) Prec@1 63.281 (60.104) Prec@5 81.250 (81.500) Epoch: [57][340/10010] Time 0.338 (0.333) Data 0.000 (0.008) Loss 1.5409 (1.7553) Prec@1 63.281 (60.154) Prec@5 84.375 (81.527) Epoch: [57][350/10010] Time 0.320 (0.332) Data 0.000 (0.008) Loss 2.1771 (1.7544) Prec@1 54.688 (60.158) Prec@5 73.438 (81.499) Epoch: [57][360/10010] Time 0.327 (0.332) Data 0.001 (0.008) Loss 1.4135 (1.7521) Prec@1 67.188 (60.230) Prec@5 87.500 (81.521) Epoch: [57][370/10010] Time 0.341 (0.332) Data 0.000 (0.007) Loss 1.6919 (1.7513) Prec@1 56.250 (60.226) Prec@5 86.719 (81.574) Epoch: [57][380/10010] Time 0.327 (0.332) Data 0.000 (0.007) Loss 1.8780 (1.7504) Prec@1 63.281 (60.279) Prec@5 74.219 (81.572) Epoch: [57][390/10010] Time 0.340 (0.332) Data 0.000 (0.007) Loss 1.8453 (1.7466) Prec@1 60.156 (60.328) Prec@5 80.469 (81.644) Epoch: [57][400/10010] Time 0.336 (0.332) Data 0.000 (0.007) Loss 1.6473 (1.7469) Prec@1 64.844 (60.330) Prec@5 84.375 (81.644) Epoch: [57][410/10010] Time 0.317 (0.332) Data 0.001 (0.007) Loss 1.6126 (1.7469) Prec@1 64.844 (60.335) Prec@5 80.469 (81.619) Epoch: [57][420/10010] Time 0.333 (0.332) Data 0.000 (0.007) Loss 1.7692 (1.7467) Prec@1 56.250 (60.307) Prec@5 78.906 (81.619) Epoch: [57][430/10010] Time 0.327 (0.332) Data 0.001 (0.006) Loss 2.1409 (1.7459) Prec@1 52.344 (60.316) Prec@5 75.000 (81.616) Epoch: [57][440/10010] Time 0.329 (0.332) Data 0.001 (0.006) Loss 1.7298 (1.7454) Prec@1 58.594 (60.319) Prec@5 82.031 (81.645) /data/vision/torralba/deepscene/lib/anaconda2/lib/python2.7/site-packages/PIL/TiffImagePlugin.py:692: UserWarning: Possibly corrupt EXIF data. Expecting to read 2555904 bytes but only got 0. Skipping tag 0 "Skipping tag %s" % (size, len(data), tag)) Epoch: [57][450/10010] Time 0.325 (0.332) Data 0.000 (0.006) Loss 1.5273 (1.7440) Prec@1 67.188 (60.371) Prec@5 85.938 (81.666) Epoch: [57][460/10010] Time 0.316 (0.331) Data 0.001 (0.006) Loss 1.7209 (1.7435) Prec@1 64.062 (60.392) Prec@5 80.469 (81.680) Epoch: [57][470/10010] Time 0.337 (0.332) Data 0.001 (0.006) Loss 1.6247 (1.7419) Prec@1 64.844 (60.427) Prec@5 84.375 (81.698) Epoch: [57][480/10010] Time 0.331 (0.332) Data 0.001 (0.006) Loss 1.6824 (1.7407) Prec@1 61.719 (60.473) Prec@5 81.250 (81.705) Epoch: [57][490/10010] Time 0.340 (0.332) Data 0.000 (0.006) Loss 1.2034 (1.7391) Prec@1 67.188 (60.490) Prec@5 89.062 (81.729) Epoch: [57][500/10010] Time 0.314 (0.331) Data 0.001 (0.006) Loss 1.9155 (1.7383) Prec@1 60.938 (60.463) Prec@5 76.562 (81.737) Epoch: [57][510/10010] Time 0.339 (0.331) Data 0.000 (0.006) Loss 1.9064 (1.7394) Prec@1 56.250 (60.435) Prec@5 75.781 (81.729) Epoch: [57][520/10010] Time 0.317 (0.331) Data 0.001 (0.005) Loss 1.7412 (1.7389) Prec@1 60.938 (60.452) Prec@5 81.250 (81.740) Epoch: [57][530/10010] Time 0.328 (0.331) Data 0.000 (0.005) Loss 1.4653 (1.7386) Prec@1 62.500 (60.465) Prec@5 85.156 (81.759) Epoch: [57][540/10010] Time 0.325 (0.331) Data 0.000 (0.005) Loss 1.7281 (1.7392) Prec@1 60.938 (60.460) Prec@5 80.469 (81.727) Epoch: [57][550/10010] Time 0.318 (0.331) Data 0.000 (0.005) Loss 1.7929 (1.7393) Prec@1 57.031 (60.451) Prec@5 79.688 (81.739) Epoch: [57][560/10010] Time 0.329 (0.331) Data 0.000 (0.005) Loss 1.9860 (1.7404) Prec@1 61.719 (60.440) Prec@5 76.562 (81.725) Epoch: [57][570/10010] Time 0.327 (0.331) Data 0.001 (0.005) Loss 1.7208 (1.7406) Prec@1 57.812 (60.426) Prec@5 82.812 (81.723) Epoch: [57][580/10010] Time 0.330 (0.331) Data 0.000 (0.005) Loss 1.6140 (1.7407) Prec@1 60.938 (60.422) Prec@5 82.031 (81.704) Epoch: [57][590/10010] Time 0.323 (0.331) Data 0.001 (0.005) Loss 1.6583 (1.7420) Prec@1 60.156 (60.410) Prec@5 84.375 (81.699) Epoch: [57][600/10010] Time 0.337 (0.331) Data 0.001 (0.005) Loss 1.6013 (1.7425) Prec@1 60.938 (60.385) Prec@5 81.250 (81.692) Epoch: [57][610/10010] Time 0.317 (0.331) Data 0.001 (0.005) Loss 1.8599 (1.7415) Prec@1 55.469 (60.395) Prec@5 80.469 (81.699) Epoch: [57][620/10010] Time 0.342 (0.331) Data 0.000 (0.005) Loss 1.6586 (1.7412) Prec@1 63.281 (60.393) Prec@5 81.250 (81.700) Epoch: [57][630/10010] Time 0.319 (0.331) Data 0.000 (0.005) Loss 1.3342 (1.7407) Prec@1 66.406 (60.404) Prec@5 85.938 (81.693) Epoch: [57][640/10010] Time 0.336 (0.331) Data 0.001 (0.005) Loss 1.8714 (1.7407) Prec@1 64.062 (60.407) Prec@5 82.031 (81.705) Epoch: [57][650/10010] Time 0.319 (0.331) Data 0.001 (0.004) Loss 1.6390 (1.7404) Prec@1 64.844 (60.421) Prec@5 84.375 (81.718) Epoch: [57][660/10010] Time 0.325 (0.331) Data 0.000 (0.004) Loss 1.8002 (1.7400) Prec@1 57.031 (60.434) Prec@5 85.156 (81.727) Epoch: [57][670/10010] Time 0.340 (0.330) Data 0.000 (0.004) Loss 1.8454 (1.7409) Prec@1 64.062 (60.421) Prec@5 81.250 (81.712) Epoch: [57][680/10010] Time 0.322 (0.330) Data 0.000 (0.004) Loss 1.3635 (1.7409) Prec@1 67.188 (60.434) Prec@5 86.719 (81.697) Epoch: [57][690/10010] Time 0.327 (0.330) Data 0.000 (0.004) Loss 1.6268 (1.7408) Prec@1 66.406 (60.421) Prec@5 83.594 (81.698) Epoch: [57][700/10010] Time 0.313 (0.330) Data 0.000 (0.004) Loss 1.7840 (1.7395) Prec@1 62.500 (60.444) Prec@5 77.344 (81.704) Epoch: [57][710/10010] Time 0.337 (0.330) Data 0.000 (0.004) Loss 1.8552 (1.7402) Prec@1 57.812 (60.407) Prec@5 80.469 (81.695) Epoch: [57][720/10010] Time 0.333 (0.330) Data 0.001 (0.004) Loss 1.7541 (1.7399) Prec@1 59.375 (60.422) Prec@5 80.469 (81.685) Epoch: [57][730/10010] Time 0.338 (0.330) Data 0.001 (0.004) Loss 1.8361 (1.7399) Prec@1 63.281 (60.439) Prec@5 81.250 (81.683) Epoch: [57][740/10010] Time 0.321 (0.330) Data 0.000 (0.004) Loss 1.8956 (1.7389) Prec@1 56.250 (60.465) Prec@5 78.906 (81.695) Epoch: [57][750/10010] Time 0.329 (0.330) Data 0.000 (0.004) Loss 1.6318 (1.7387) Prec@1 61.719 (60.448) Prec@5 83.594 (81.697) Epoch: [57][760/10010] Time 0.326 (0.330) Data 0.001 (0.004) Loss 1.6947 (1.7394) Prec@1 54.688 (60.412) Prec@5 81.250 (81.683) Epoch: [57][770/10010] Time 0.322 (0.330) Data 0.001 (0.004) Loss 1.4645 (1.7390) Prec@1 67.969 (60.415) Prec@5 85.156 (81.689) Epoch: [57][780/10010] Time 0.309 (0.330) Data 0.001 (0.004) Loss 1.7947 (1.7391) Prec@1 60.938 (60.412) Prec@5 79.688 (81.692) Epoch: [57][790/10010] Time 0.335 (0.330) Data 0.000 (0.004) Loss 1.7865 (1.7396) Prec@1 58.594 (60.394) Prec@5 77.344 (81.693) Epoch: [57][800/10010] Time 0.333 (0.330) Data 0.001 (0.004) Loss 1.4515 (1.7402) Prec@1 64.844 (60.388) Prec@5 83.594 (81.679) Epoch: [57][810/10010] Time 0.338 (0.330) Data 0.000 (0.004) Loss 1.4201 (1.7401) Prec@1 67.969 (60.371) Prec@5 87.500 (81.683) Epoch: [57][820/10010] Time 0.315 (0.330) Data 0.001 (0.004) Loss 1.7373 (1.7398) Prec@1 65.625 (60.385) Prec@5 81.250 (81.673) Epoch: [57][830/10010] Time 0.336 (0.330) Data 0.001 (0.004) Loss 2.0705 (1.7399) Prec@1 54.688 (60.388) Prec@5 77.344 (81.666) Epoch: [57][840/10010] Time 0.339 (0.330) Data 0.001 (0.004) Loss 2.0403 (1.7400) Prec@1 50.781 (60.366) Prec@5 76.562 (81.673) Epoch: [57][850/10010] Time 0.339 (0.330) Data 0.001 (0.004) Loss 1.7281 (1.7401) Prec@1 64.844 (60.377) Prec@5 79.688 (81.665) Epoch: [57][860/10010] Time 0.310 (0.330) Data 0.001 (0.004) Loss 1.8417 (1.7404) Prec@1 57.031 (60.388) Prec@5 80.469 (81.665) Epoch: [57][870/10010] Time 0.341 (0.330) Data 0.000 (0.003) Loss 2.0381 (1.7406) Prec@1 55.469 (60.379) Prec@5 74.219 (81.665) Epoch: [57][880/10010] Time 0.337 (0.330) Data 0.001 (0.003) Loss 1.6204 (1.7404) Prec@1 60.156 (60.366) Prec@5 83.594 (81.671) Epoch: [57][890/10010] Time 0.342 (0.330) Data 0.001 (0.003) Loss 1.7613 (1.7410) Prec@1 60.156 (60.361) Prec@5 80.469 (81.660) Epoch: [57][900/10010] Time 0.322 (0.330) Data 0.000 (0.003) Loss 1.8490 (1.7407) Prec@1 57.031 (60.368) Prec@5 82.812 (81.671) Epoch: [57][910/10010] Time 0.336 (0.330) Data 0.000 (0.003) Loss 1.6067 (1.7403) Prec@1 64.844 (60.353) Prec@5 83.594 (81.678) Epoch: [57][920/10010] Time 0.323 (0.330) Data 0.001 (0.003) Loss 1.7820 (1.7403) Prec@1 59.375 (60.361) Prec@5 79.688 (81.666) Epoch: [57][930/10010] Time 0.315 (0.330) Data 0.000 (0.003) Loss 1.6668 (1.7405) Prec@1 59.375 (60.365) Prec@5 82.031 (81.675) Epoch: [57][940/10010] Time 0.335 (0.330) Data 0.001 (0.003) Loss 1.5122 (1.7411) Prec@1 67.969 (60.350) Prec@5 84.375 (81.667) Epoch: [57][950/10010] Time 0.320 (0.330) Data 0.001 (0.003) Loss 1.7471 (1.7422) Prec@1 61.719 (60.315) Prec@5 81.250 (81.652) Epoch: [57][960/10010] Time 0.337 (0.330) Data 0.000 (0.003) Loss 1.4574 (1.7416) Prec@1 67.969 (60.334) Prec@5 85.156 (81.669) Epoch: [57][970/10010] Time 0.340 (0.330) Data 0.000 (0.003) Loss 1.8028 (1.7414) Prec@1 64.062 (60.337) Prec@5 81.250 (81.668) Epoch: [57][980/10010] Time 0.338 (0.330) Data 0.001 (0.003) Loss 1.8240 (1.7414) Prec@1 55.469 (60.340) Prec@5 78.906 (81.661) Epoch: [57][990/10010] Time 0.318 (0.330) Data 0.000 (0.003) Loss 1.7508 (1.7410) Prec@1 60.938 (60.342) Prec@5 82.031 (81.676) Epoch: [57][1000/10010] Time 0.318 (0.330) Data 0.001 (0.003) Loss 1.7439 (1.7395) Prec@1 53.906 (60.378) Prec@5 83.594 (81.704) Epoch: [57][1010/10010] Time 0.315 (0.330) Data 0.001 (0.003) Loss 1.6304 (1.7390) Prec@1 60.156 (60.383) Prec@5 85.156 (81.717) Epoch: [57][1020/10010] Time 0.333 (0.330) Data 0.000 (0.003) Loss 1.5370 (1.7385) Prec@1 58.594 (60.381) Prec@5 81.250 (81.719) Epoch: [57][1030/10010] Time 0.316 (0.330) Data 0.000 (0.003) Loss 1.5800 (1.7379) Prec@1 64.844 (60.384) Prec@5 82.031 (81.723) Epoch: [57][1040/10010] Time 0.323 (0.330) Data 0.000 (0.003) Loss 2.0640 (1.7394) Prec@1 57.031 (60.361) Prec@5 78.125 (81.700) Epoch: [57][1050/10010] Time 0.334 (0.330) Data 0.000 (0.003) Loss 1.8794 (1.7398) Prec@1 59.375 (60.350) Prec@5 78.906 (81.696) /data/vision/torralba/deepscene/lib/anaconda2/lib/python2.7/site-packages/PIL/TiffImagePlugin.py:692: UserWarning: Possibly corrupt EXIF data. Expecting to read 1835008 bytes but only got 0. Skipping tag 0 "Skipping tag %s" % (size, len(data), tag)) Epoch: [57][1060/10010] Time 0.323 (0.330) Data 0.000 (0.003) Loss 1.7939 (1.7402) Prec@1 57.031 (60.347) Prec@5 82.031 (81.692) Epoch: [57][1070/10010] Time 0.331 (0.330) Data 0.001 (0.003) Loss 1.8737 (1.7407) Prec@1 56.250 (60.344) Prec@5 79.688 (81.684) Epoch: [57][1080/10010] Time 0.315 (0.330) Data 0.001 (0.003) Loss 1.6522 (1.7409) Prec@1 62.500 (60.355) Prec@5 85.938 (81.677) Epoch: [57][1090/10010] Time 0.319 (0.330) Data 0.000 (0.003) Loss 2.1414 (1.7426) Prec@1 51.562 (60.322) Prec@5 76.562 (81.658) Epoch: [57][1100/10010] Time 0.333 (0.330) Data 0.001 (0.003) Loss 1.3750 (1.7425) Prec@1 66.406 (60.322) Prec@5 91.406 (81.655) Epoch: [57][1110/10010] Time 0.315 (0.330) Data 0.000 (0.003) Loss 1.8944 (1.7429) Prec@1 58.594 (60.300) Prec@5 76.562 (81.649) Epoch: [57][1120/10010] Time 0.325 (0.330) Data 0.000 (0.003) Loss 1.8942 (1.7432) Prec@1 60.156 (60.290) Prec@5 80.469 (81.649) Epoch: [57][1130/10010] Time 0.334 (0.330) Data 0.001 (0.003) Loss 1.6291 (1.7432) Prec@1 60.938 (60.278) Prec@5 83.594 (81.652) Epoch: [57][1140/10010] Time 0.311 (0.330) Data 0.001 (0.003) Loss 1.5802 (1.7429) Prec@1 67.188 (60.264) Prec@5 82.031 (81.655) Epoch: [57][1150/10010] Time 0.326 (0.329) Data 0.001 (0.003) Loss 1.6280 (1.7424) Prec@1 66.406 (60.274) Prec@5 81.250 (81.660) Epoch: [57][1160/10010] Time 0.324 (0.329) Data 0.000 (0.003) Loss 1.5105 (1.7423) Prec@1 57.031 (60.273) Prec@5 85.156 (81.660) Epoch: [57][1170/10010] Time 0.323 (0.329) Data 0.000 (0.003) Loss 1.7900 (1.7423) Prec@1 60.938 (60.267) Prec@5 78.906 (81.650) Epoch: [57][1180/10010] Time 0.324 (0.329) Data 0.001 (0.003) Loss 1.6837 (1.7419) Prec@1 61.719 (60.279) Prec@5 82.812 (81.656) Epoch: [57][1190/10010] Time 0.318 (0.329) Data 0.000 (0.003) Loss 2.0538 (1.7432) Prec@1 50.781 (60.250) Prec@5 75.781 (81.630) Epoch: [57][1200/10010] Time 0.339 (0.329) Data 0.000 (0.003) Loss 1.7894 (1.7432) Prec@1 54.688 (60.257) Prec@5 82.031 (81.636) Epoch: [57][1210/10010] Time 0.321 (0.329) Data 0.001 (0.003) Loss 1.5808 (1.7430) Prec@1 53.906 (60.250) Prec@5 85.938 (81.644) Epoch: [57][1220/10010] Time 0.318 (0.329) Data 0.001 (0.003) Loss 1.8159 (1.7422) Prec@1 62.500 (60.255) Prec@5 81.250 (81.655) Epoch: [57][1230/10010] Time 0.320 (0.329) Data 0.000 (0.003) Loss 1.6247 (1.7419) Prec@1 70.312 (60.276) Prec@5 82.031 (81.657) Epoch: [57][1240/10010] Time 0.334 (0.329) Data 0.000 (0.003) Loss 2.1215 (1.7423) Prec@1 57.812 (60.271) Prec@5 77.344 (81.655) Epoch: [57][1250/10010] Time 0.326 (0.329) Data 0.000 (0.003) Loss 1.8267 (1.7423) Prec@1 57.812 (60.262) Prec@5 80.469 (81.650) Epoch: [57][1260/10010] Time 0.319 (0.329) Data 0.001 (0.003) Loss 1.5528 (1.7426) Prec@1 60.938 (60.270) Prec@5 86.719 (81.651) Epoch: [57][1270/10010] Time 0.337 (0.329) Data 0.001 (0.003) Loss 1.4946 (1.7418) Prec@1 67.188 (60.280) Prec@5 84.375 (81.655) Epoch: [57][1280/10010] Time 0.329 (0.329) Data 0.001 (0.003) Loss 1.7661 (1.7426) Prec@1 64.062 (60.272) Prec@5 84.375 (81.652) Epoch: [57][1290/10010] Time 0.342 (0.329) Data 0.001 (0.003) Loss 1.6726 (1.7430) Prec@1 61.719 (60.268) Prec@5 81.250 (81.640) Epoch: [57][1300/10010] Time 0.330 (0.329) Data 0.001 (0.003) Loss 1.6094 (1.7423) Prec@1 62.500 (60.287) Prec@5 85.938 (81.654) Epoch: [57][1310/10010] Time 0.324 (0.329) Data 0.001 (0.003) Loss 1.6968 (1.7427) Prec@1 64.844 (60.284) Prec@5 82.812 (81.650) Epoch: [57][1320/10010] Time 0.325 (0.329) Data 0.000 (0.003) Loss 1.4964 (1.7431) Prec@1 64.844 (60.280) Prec@5 84.375 (81.646) Epoch: [57][1330/10010] Time 0.315 (0.329) Data 0.000 (0.002) Loss 1.6963 (1.7429) Prec@1 60.156 (60.281) Prec@5 83.594 (81.647) Epoch: [57][1340/10010] Time 0.327 (0.329) Data 0.001 (0.002) Loss 1.9535 (1.7425) Prec@1 53.906 (60.289) Prec@5 78.906 (81.649) Epoch: [57][1350/10010] Time 0.332 (0.329) Data 0.000 (0.002) Loss 1.9965 (1.7430) Prec@1 64.062 (60.289) Prec@5 81.250 (81.650) Epoch: [57][1360/10010] Time 0.320 (0.329) Data 0.000 (0.002) Loss 1.9502 (1.7435) Prec@1 55.469 (60.288) Prec@5 77.344 (81.640) Epoch: [57][1370/10010] Time 0.322 (0.329) Data 0.001 (0.002) Loss 1.7158 (1.7440) Prec@1 56.250 (60.277) Prec@5 85.938 (81.635) Epoch: [57][1380/10010] Time 0.343 (0.329) Data 0.000 (0.002) Loss 1.6681 (1.7436) Prec@1 63.281 (60.279) Prec@5 82.812 (81.640) Epoch: [57][1390/10010] Time 0.332 (0.329) Data 0.001 (0.002) Loss 1.8382 (1.7438) Prec@1 60.156 (60.275) Prec@5 81.250 (81.643) Epoch: [57][1400/10010] Time 0.333 (0.329) Data 0.001 (0.002) Loss 1.5822 (1.7433) Prec@1 61.719 (60.298) Prec@5 87.500 (81.653) Epoch: [57][1410/10010] Time 0.335 (0.329) Data 0.000 (0.002) Loss 1.9257 (1.7430) Prec@1 59.375 (60.300) Prec@5 75.781 (81.660) Epoch: [57][1420/10010] Time 0.322 (0.329) Data 0.000 (0.002) Loss 2.0669 (1.7431) Prec@1 52.344 (60.293) Prec@5 75.000 (81.660) Epoch: [57][1430/10010] Time 0.331 (0.329) Data 0.001 (0.002) Loss 1.2698 (1.7432) Prec@1 69.531 (60.294) Prec@5 88.281 (81.665) Epoch: [57][1440/10010] Time 0.335 (0.329) Data 0.001 (0.002) Loss 1.4323 (1.7431) Prec@1 63.281 (60.296) Prec@5 86.719 (81.661) Epoch: [57][1450/10010] Time 0.316 (0.329) Data 0.001 (0.002) Loss 2.0373 (1.7443) Prec@1 53.906 (60.277) Prec@5 76.562 (81.645) Epoch: [57][1460/10010] Time 0.320 (0.329) Data 0.001 (0.002) Loss 1.9372 (1.7443) Prec@1 62.500 (60.285) Prec@5 76.562 (81.641) Epoch: [57][1470/10010] Time 0.323 (0.329) Data 0.000 (0.002) Loss 1.6776 (1.7445) Prec@1 60.938 (60.287) Prec@5 85.156 (81.633) Epoch: [57][1480/10010] Time 0.328 (0.329) Data 0.001 (0.002) Loss 1.8424 (1.7447) Prec@1 57.031 (60.289) Prec@5 79.688 (81.629) Epoch: [57][1490/10010] Time 0.338 (0.329) Data 0.001 (0.002) Loss 1.7098 (1.7447) Prec@1 57.812 (60.288) Prec@5 81.250 (81.638) Epoch: [57][1500/10010] Time 0.325 (0.329) Data 0.000 (0.002) Loss 1.7478 (1.7444) Prec@1 55.469 (60.294) Prec@5 83.594 (81.647) Epoch: [57][1510/10010] Time 0.315 (0.329) Data 0.001 (0.002) Loss 1.8187 (1.7444) Prec@1 60.156 (60.290) Prec@5 79.688 (81.648) Epoch: [57][1520/10010] Time 0.330 (0.329) Data 0.001 (0.002) Loss 1.9717 (1.7449) Prec@1 56.250 (60.266) Prec@5 78.125 (81.648) Epoch: [57][1530/10010] Time 0.331 (0.329) Data 0.001 (0.002) Loss 1.6316 (1.7454) Prec@1 63.281 (60.260) Prec@5 84.375 (81.645) Epoch: [57][1540/10010] Time 0.330 (0.329) Data 0.001 (0.002) Loss 1.8262 (1.7450) Prec@1 60.938 (60.263) Prec@5 78.125 (81.654) Epoch: [57][1550/10010] Time 0.339 (0.329) Data 0.001 (0.002) Loss 1.6503 (1.7449) Prec@1 61.719 (60.270) Prec@5 83.594 (81.653) Epoch: [57][1560/10010] Time 0.337 (0.329) Data 0.000 (0.002) Loss 2.0773 (1.7452) Prec@1 52.344 (60.254) Prec@5 75.781 (81.648) Epoch: [57][1570/10010] Time 0.323 (0.329) Data 0.001 (0.002) Loss 1.8957 (1.7455) Prec@1 59.375 (60.245) Prec@5 77.344 (81.640) Epoch: [57][1580/10010] Time 0.326 (0.329) Data 0.000 (0.002) Loss 1.4927 (1.7453) Prec@1 64.062 (60.249) Prec@5 89.844 (81.641) Epoch: [57][1590/10010] Time 0.337 (0.329) Data 0.001 (0.002) Loss 1.9114 (1.7455) Prec@1 52.344 (60.233) Prec@5 78.906 (81.643) Epoch: [57][1600/10010] Time 0.319 (0.329) Data 0.000 (0.002) Loss 1.3695 (1.7450) Prec@1 67.969 (60.238) Prec@5 89.062 (81.652) Epoch: [57][1610/10010] Time 0.324 (0.329) Data 0.000 (0.002) Loss 1.8303 (1.7447) Prec@1 60.938 (60.242) Prec@5 79.688 (81.654) Epoch: [57][1620/10010] Time 0.329 (0.329) Data 0.000 (0.002) Loss 1.6217 (1.7444) Prec@1 63.281 (60.245) Prec@5 84.375 (81.661) Epoch: [57][1630/10010] Time 0.320 (0.329) Data 0.001 (0.002) Loss 1.7255 (1.7445) Prec@1 64.062 (60.247) Prec@5 81.250 (81.660) Epoch: [57][1640/10010] Time 0.323 (0.329) Data 0.000 (0.002) Loss 1.7610 (1.7450) Prec@1 60.156 (60.231) Prec@5 78.906 (81.643) Epoch: [57][1650/10010] Time 0.320 (0.329) Data 0.001 (0.002) Loss 1.9712 (1.7450) Prec@1 57.031 (60.228) Prec@5 77.344 (81.637) Epoch: [57][1660/10010] Time 0.338 (0.329) Data 0.000 (0.002) Loss 1.5009 (1.7448) Prec@1 62.500 (60.234) Prec@5 85.938 (81.645) Epoch: [57][1670/10010] Time 0.317 (0.329) Data 0.001 (0.002) Loss 1.5245 (1.7447) Prec@1 64.062 (60.240) Prec@5 82.031 (81.641) Epoch: [57][1680/10010] Time 0.320 (0.329) Data 0.000 (0.002) Loss 1.9890 (1.7445) Prec@1 57.031 (60.245) Prec@5 77.344 (81.650) Epoch: [57][1690/10010] Time 0.333 (0.329) Data 0.001 (0.002) Loss 1.9201 (1.7445) Prec@1 54.688 (60.242) Prec@5 79.688 (81.647) Epoch: [57][1700/10010] Time 0.339 (0.329) Data 0.000 (0.002) Loss 1.7632 (1.7439) Prec@1 59.375 (60.249) Prec@5 78.906 (81.653) Epoch: [57][1710/10010] Time 0.339 (0.329) Data 0.001 (0.002) Loss 1.6303 (1.7435) Prec@1 59.375 (60.254) Prec@5 82.812 (81.655) Epoch: [57][1720/10010] Time 0.326 (0.329) Data 0.001 (0.002) Loss 1.7995 (1.7435) Prec@1 54.688 (60.251) Prec@5 81.250 (81.654) Epoch: [57][1730/10010] Time 0.339 (0.329) Data 0.000 (0.002) Loss 1.3360 (1.7431) Prec@1 67.188 (60.252) Prec@5 89.062 (81.662) Epoch: [57][1740/10010] Time 0.333 (0.329) Data 0.000 (0.002) Loss 1.9465 (1.7432) Prec@1 54.688 (60.260) Prec@5 80.469 (81.658) Epoch: [57][1750/10010] Time 0.318 (0.329) Data 0.001 (0.002) Loss 1.9049 (1.7437) Prec@1 53.906 (60.252) Prec@5 73.438 (81.649) Epoch: [57][1760/10010] Time 0.342 (0.329) Data 0.001 (0.002) Loss 1.7117 (1.7444) Prec@1 60.156 (60.243) Prec@5 84.375 (81.644) Epoch: [57][1770/10010] Time 0.318 (0.329) Data 0.001 (0.002) Loss 1.4704 (1.7445) Prec@1 62.500 (60.240) Prec@5 86.719 (81.649) Epoch: [57][1780/10010] Time 0.318 (0.329) Data 0.001 (0.002) Loss 1.6427 (1.7442) Prec@1 58.594 (60.243) Prec@5 82.812 (81.654) Epoch: [57][1790/10010] Time 0.332 (0.329) Data 0.001 (0.002) Loss 1.9287 (1.7443) Prec@1 60.156 (60.244) Prec@5 82.812 (81.659) Epoch: [57][1800/10010] Time 0.313 (0.329) Data 0.000 (0.002) Loss 1.5595 (1.7445) Prec@1 60.938 (60.240) Prec@5 85.938 (81.656) Epoch: [57][1810/10010] Time 0.340 (0.329) Data 0.001 (0.002) Loss 1.4133 (1.7444) Prec@1 66.406 (60.242) Prec@5 83.594 (81.660) Epoch: [57][1820/10010] Time 0.341 (0.329) Data 0.000 (0.002) Loss 1.7793 (1.7442) Prec@1 60.156 (60.248) Prec@5 82.812 (81.659) Epoch: [57][1830/10010] Time 0.323 (0.329) Data 0.001 (0.002) Loss 1.6324 (1.7444) Prec@1 65.625 (60.240) Prec@5 80.469 (81.658) Epoch: [57][1840/10010] Time 0.338 (0.329) Data 0.001 (0.002) Loss 1.7470 (1.7440) Prec@1 58.594 (60.246) Prec@5 82.812 (81.663) Epoch: [57][1850/10010] Time 0.328 (0.329) Data 0.001 (0.002) Loss 1.7593 (1.7437) Prec@1 60.156 (60.255) Prec@5 84.375 (81.671) Epoch: [57][1860/10010] Time 0.315 (0.329) Data 0.001 (0.002) Loss 1.7471 (1.7439) Prec@1 64.844 (60.251) Prec@5 78.906 (81.667) Epoch: [57][1870/10010] Time 0.336 (0.329) Data 0.000 (0.002) Loss 1.6122 (1.7441) Prec@1 61.719 (60.244) Prec@5 85.156 (81.666) Epoch: [57][1880/10010] Time 0.315 (0.329) Data 0.001 (0.002) Loss 1.6814 (1.7436) Prec@1 60.938 (60.257) Prec@5 82.031 (81.672) /data/vision/torralba/deepscene/lib/anaconda2/lib/python2.7/site-packages/PIL/TiffImagePlugin.py:692: UserWarning: Possibly corrupt EXIF data. Expecting to read 2555904 bytes but only got 0. Skipping tag 0 "Skipping tag %s" % (size, len(data), tag)) Epoch: [57][1890/10010] Time 0.322 (0.329) Data 0.001 (0.002) Loss 1.5042 (1.7431) Prec@1 64.062 (60.266) Prec@5 87.500 (81.683) Epoch: [57][1900/10010] Time 0.322 (0.329) Data 0.000 (0.002) Loss 1.5889 (1.7425) Prec@1 59.375 (60.271) Prec@5 85.156 (81.698) Epoch: [57][1910/10010] Time 0.322 (0.329) Data 0.001 (0.002) Loss 1.4219 (1.7418) Prec@1 68.750 (60.279) Prec@5 87.500 (81.704) Epoch: [57][1920/10010] Time 0.320 (0.329) Data 0.001 (0.002) Loss 1.8313 (1.7423) Prec@1 57.812 (60.268) Prec@5 81.250 (81.694) Epoch: [57][1930/10010] Time 0.317 (0.329) Data 0.000 (0.002) Loss 1.9538 (1.7421) Prec@1 57.031 (60.275) Prec@5 78.125 (81.697) Epoch: [57][1940/10010] Time 0.334 (0.329) Data 0.000 (0.002) Loss 2.0706 (1.7421) Prec@1 53.125 (60.279) Prec@5 74.219 (81.695) Epoch: [57][1950/10010] Time 0.341 (0.329) Data 0.001 (0.002) Loss 1.8093 (1.7416) Prec@1 55.469 (60.279) Prec@5 79.688 (81.703) Epoch: [57][1960/10010] Time 0.336 (0.329) Data 0.001 (0.002) Loss 1.6729 (1.7420) Prec@1 59.375 (60.271) Prec@5 83.594 (81.694) Epoch: [57][1970/10010] Time 0.329 (0.328) Data 0.001 (0.002) Loss 1.7170 (1.7422) Prec@1 61.719 (60.265) Prec@5 82.812 (81.692) Epoch: [57][1980/10010] Time 0.332 (0.328) Data 0.001 (0.002) Loss 2.1021 (1.7424) Prec@1 54.688 (60.267) Prec@5 75.781 (81.687) Epoch: [57][1990/10010] Time 0.335 (0.328) Data 0.000 (0.002) Loss 1.7683 (1.7424) Prec@1 62.500 (60.273) Prec@5 80.469 (81.686) Epoch: [57][2000/10010] Time 0.337 (0.328) Data 0.001 (0.002) Loss 1.8077 (1.7429) Prec@1 63.281 (60.268) Prec@5 79.688 (81.680) Epoch: [57][2010/10010] Time 0.327 (0.328) Data 0.000 (0.002) Loss 2.0822 (1.7429) Prec@1 57.031 (60.272) Prec@5 78.906 (81.686) Epoch: [57][2020/10010] Time 0.325 (0.328) Data 0.001 (0.002) Loss 1.4913 (1.7422) Prec@1 63.281 (60.270) Prec@5 86.719 (81.695) Epoch: [57][2030/10010] Time 0.330 (0.328) Data 0.001 (0.002) Loss 1.7162 (1.7424) Prec@1 60.156 (60.257) Prec@5 85.938 (81.694) Epoch: [57][2040/10010] Time 0.330 (0.328) Data 0.000 (0.002) Loss 1.6340 (1.7424) Prec@1 63.281 (60.253) Prec@5 83.594 (81.691) Epoch: [57][2050/10010] Time 0.335 (0.328) Data 0.000 (0.002) Loss 1.8063 (1.7429) Prec@1 57.031 (60.250) Prec@5 80.469 (81.683) Epoch: [57][2060/10010] Time 0.329 (0.328) Data 0.001 (0.002) Loss 2.1271 (1.7434) Prec@1 53.125 (60.241) Prec@5 78.125 (81.679) Epoch: [57][2070/10010] Time 0.322 (0.328) Data 0.000 (0.002) Loss 1.6353 (1.7433) Prec@1 65.625 (60.243) Prec@5 85.156 (81.678) Epoch: [57][2080/10010] Time 0.318 (0.328) Data 0.001 (0.002) Loss 1.8279 (1.7436) Prec@1 60.938 (60.241) Prec@5 81.250 (81.678) Epoch: [57][2090/10010] Time 0.332 (0.328) Data 0.000 (0.002) Loss 1.8561 (1.7435) Prec@1 57.031 (60.250) Prec@5 79.688 (81.680) Epoch: [57][2100/10010] Time 0.320 (0.328) Data 0.001 (0.002) Loss 1.6604 (1.7430) Prec@1 64.062 (60.261) Prec@5 82.031 (81.687) Epoch: [57][2110/10010] Time 0.320 (0.328) Data 0.001 (0.002) Loss 1.9027 (1.7429) Prec@1 56.250 (60.258) Prec@5 81.250 (81.691) Epoch: [57][2120/10010] Time 0.313 (0.328) Data 0.001 (0.002) Loss 1.9167 (1.7424) Prec@1 56.250 (60.260) Prec@5 79.688 (81.702) Epoch: [57][2130/10010] Time 0.320 (0.328) Data 0.001 (0.002) Loss 1.6884 (1.7423) Prec@1 64.062 (60.261) Prec@5 80.469 (81.706) Epoch: [57][2140/10010] Time 0.326 (0.328) Data 0.000 (0.002) Loss 2.2486 (1.7428) Prec@1 57.031 (60.256) Prec@5 75.000 (81.697) Epoch: [57][2150/10010] Time 0.329 (0.328) Data 0.001 (0.002) Loss 1.8036 (1.7429) Prec@1 57.812 (60.253) Prec@5 82.031 (81.694) Epoch: [57][2160/10010] Time 0.339 (0.328) Data 0.000 (0.002) Loss 1.9394 (1.7429) Prec@1 52.344 (60.253) Prec@5 78.125 (81.693) Epoch: [57][2170/10010] Time 0.320 (0.328) Data 0.001 (0.002) Loss 1.3026 (1.7424) Prec@1 71.094 (60.266) Prec@5 85.938 (81.698) Epoch: [57][2180/10010] Time 0.326 (0.328) Data 0.001 (0.002) Loss 2.0470 (1.7431) Prec@1 57.031 (60.252) Prec@5 77.344 (81.688) Epoch: [57][2190/10010] Time 0.322 (0.328) Data 0.001 (0.002) Loss 1.4200 (1.7431) Prec@1 65.625 (60.243) Prec@5 84.375 (81.684) Epoch: [57][2200/10010] Time 0.322 (0.328) Data 0.001 (0.002) Loss 2.0395 (1.7429) Prec@1 56.250 (60.249) Prec@5 77.344 (81.693) Epoch: [57][2210/10010] Time 0.325 (0.328) Data 0.001 (0.002) Loss 1.5942 (1.7430) Prec@1 64.844 (60.247) Prec@5 84.375 (81.692) Epoch: [57][2220/10010] Time 0.334 (0.328) Data 0.000 (0.002) Loss 1.5871 (1.7428) Prec@1 64.062 (60.256) Prec@5 86.719 (81.698) Epoch: [57][2230/10010] Time 0.319 (0.328) Data 0.001 (0.002) Loss 1.7352 (1.7429) Prec@1 56.250 (60.252) Prec@5 83.594 (81.701) Epoch: [57][2240/10010] Time 0.331 (0.328) Data 0.000 (0.002) Loss 1.6960 (1.7429) Prec@1 61.719 (60.256) Prec@5 78.906 (81.696) Epoch: [57][2250/10010] Time 0.329 (0.328) Data 0.001 (0.002) Loss 1.5759 (1.7427) Prec@1 62.500 (60.269) Prec@5 83.594 (81.697) Epoch: [57][2260/10010] Time 0.320 (0.328) Data 0.001 (0.002) Loss 1.5894 (1.7426) Prec@1 64.062 (60.269) Prec@5 80.469 (81.694) Epoch: [57][2270/10010] Time 0.318 (0.328) Data 0.001 (0.002) Loss 1.7132 (1.7426) Prec@1 63.281 (60.267) Prec@5 85.156 (81.695) Epoch: [57][2280/10010] Time 0.324 (0.328) Data 0.000 (0.002) Loss 1.7747 (1.7425) Prec@1 57.812 (60.270) Prec@5 78.906 (81.700) Epoch: [57][2290/10010] Time 0.343 (0.328) Data 0.000 (0.002) Loss 1.7425 (1.7426) Prec@1 58.594 (60.266) Prec@5 82.031 (81.701) Epoch: [57][2300/10010] Time 0.328 (0.328) Data 0.000 (0.002) Loss 1.6214 (1.7422) Prec@1 61.719 (60.267) Prec@5 83.594 (81.710) Epoch: [57][2310/10010] Time 0.322 (0.328) Data 0.001 (0.002) Loss 1.7019 (1.7427) Prec@1 55.469 (60.252) Prec@5 85.938 (81.705) Epoch: [57][2320/10010] Time 0.329 (0.328) Data 0.000 (0.002) Loss 1.9423 (1.7428) Prec@1 55.469 (60.251) Prec@5 78.125 (81.706) Epoch: [57][2330/10010] Time 0.330 (0.328) Data 0.001 (0.002) Loss 2.0970 (1.7428) Prec@1 53.906 (60.248) Prec@5 76.562 (81.708) Epoch: [57][2340/10010] Time 0.321 (0.328) Data 0.001 (0.002) Loss 1.5303 (1.7429) Prec@1 62.500 (60.244) Prec@5 87.500 (81.711) Epoch: [57][2350/10010] Time 0.325 (0.328) Data 0.001 (0.002) Loss 2.2787 (1.7427) Prec@1 57.031 (60.253) Prec@5 74.219 (81.710) Epoch: [57][2360/10010] Time 0.321 (0.328) Data 0.001 (0.002) Loss 1.8475 (1.7429) Prec@1 54.688 (60.252) Prec@5 81.250 (81.705) Epoch: [57][2370/10010] Time 0.316 (0.328) Data 0.001 (0.002) Loss 1.5231 (1.7427) Prec@1 64.062 (60.249) Prec@5 82.031 (81.704) Epoch: [57][2380/10010] Time 0.337 (0.328) Data 0.001 (0.002) Loss 1.6209 (1.7425) Prec@1 63.281 (60.250) Prec@5 82.812 (81.707) Epoch: [57][2390/10010] Time 0.322 (0.328) Data 0.001 (0.002) Loss 1.7600 (1.7424) Prec@1 57.812 (60.254) Prec@5 84.375 (81.706) Epoch: [57][2400/10010] Time 0.329 (0.328) Data 0.001 (0.002) Loss 1.9957 (1.7424) Prec@1 54.688 (60.255) Prec@5 78.125 (81.706) Epoch: [57][2410/10010] Time 0.332 (0.328) Data 0.001 (0.002) Loss 1.8451 (1.7421) Prec@1 56.250 (60.266) Prec@5 82.031 (81.709) Epoch: [57][2420/10010] Time 0.335 (0.328) Data 0.000 (0.002) Loss 1.8766 (1.7424) Prec@1 55.469 (60.256) Prec@5 81.250 (81.704) /data/vision/torralba/deepscene/lib/anaconda2/lib/python2.7/site-packages/PIL/TiffImagePlugin.py:692: UserWarning: Possibly corrupt EXIF data. Expecting to read 2555904 bytes but only got 0. Skipping tag 0 "Skipping tag %s" % (size, len(data), tag)) Epoch: [57][2430/10010] Time 0.332 (0.328) Data 0.000 (0.002) Loss 1.7969 (1.7424) Prec@1 61.719 (60.259) Prec@5 85.938 (81.705) Epoch: [57][2440/10010] Time 0.338 (0.328) Data 0.000 (0.002) Loss 1.7739 (1.7422) Prec@1 64.062 (60.264) Prec@5 79.688 (81.706) Epoch: [57][2450/10010] Time 0.336 (0.328) Data 0.001 (0.002) Loss 1.7513 (1.7419) Prec@1 58.594 (60.273) Prec@5 82.812 (81.709) Epoch: [57][2460/10010] Time 0.319 (0.328) Data 0.001 (0.002) Loss 1.7042 (1.7420) Prec@1 63.281 (60.271) Prec@5 82.812 (81.707) Epoch: [57][2470/10010] Time 0.332 (0.328) Data 0.000 (0.002) Loss 1.6693 (1.7426) Prec@1 63.281 (60.261) Prec@5 81.250 (81.698) Epoch: [57][2480/10010] Time 0.324 (0.328) Data 0.000 (0.002) Loss 1.5061 (1.7429) Prec@1 64.844 (60.254) Prec@5 87.500 (81.696) Epoch: [57][2490/10010] Time 0.324 (0.328) Data 0.000 (0.002) Loss 1.8769 (1.7429) Prec@1 58.594 (60.257) Prec@5 79.688 (81.692) Epoch: [57][2500/10010] Time 0.332 (0.328) Data 0.001 (0.002) Loss 2.0388 (1.7434) Prec@1 56.250 (60.247) Prec@5 78.125 (81.690) Epoch: [57][2510/10010] Time 0.333 (0.328) Data 0.000 (0.002) Loss 1.7455 (1.7434) Prec@1 60.156 (60.246) Prec@5 82.812 (81.688) Epoch: [57][2520/10010] Time 0.336 (0.328) Data 0.001 (0.002) Loss 2.0618 (1.7436) Prec@1 53.125 (60.241) Prec@5 74.219 (81.683) Epoch: [57][2530/10010] Time 0.315 (0.328) Data 0.001 (0.002) Loss 2.1332 (1.7436) Prec@1 52.344 (60.243) Prec@5 75.000 (81.681) Epoch: [57][2540/10010] Time 0.339 (0.328) Data 0.001 (0.002) Loss 1.9550 (1.7434) Prec@1 52.344 (60.240) Prec@5 73.438 (81.684) Epoch: [57][2550/10010] Time 0.340 (0.328) Data 0.001 (0.002) Loss 1.6400 (1.7435) Prec@1 67.969 (60.243) Prec@5 84.375 (81.683) Epoch: [57][2560/10010] Time 0.314 (0.328) Data 0.001 (0.002) Loss 1.8244 (1.7439) Prec@1 58.594 (60.236) Prec@5 75.781 (81.678) Epoch: [57][2570/10010] Time 0.338 (0.328) Data 0.001 (0.002) Loss 1.7972 (1.7440) Prec@1 57.031 (60.230) Prec@5 82.812 (81.674) Epoch: [57][2580/10010] Time 0.335 (0.328) Data 0.001 (0.002) Loss 1.8308 (1.7441) Prec@1 60.156 (60.223) Prec@5 78.906 (81.672) Epoch: [57][2590/10010] Time 0.339 (0.328) Data 0.000 (0.002) Loss 1.6164 (1.7440) Prec@1 64.062 (60.226) Prec@5 82.812 (81.672) Epoch: [57][2600/10010] Time 0.340 (0.328) Data 0.001 (0.002) Loss 1.8452 (1.7443) Prec@1 56.250 (60.218) Prec@5 79.688 (81.665) Epoch: [57][2610/10010] Time 0.323 (0.328) Data 0.001 (0.002) Loss 1.7127 (1.7439) Prec@1 56.250 (60.224) Prec@5 80.469 (81.671) Epoch: [57][2620/10010] Time 0.322 (0.328) Data 0.001 (0.002) Loss 1.8796 (1.7442) Prec@1 60.938 (60.221) Prec@5 76.562 (81.666) Epoch: [57][2630/10010] Time 0.316 (0.328) Data 0.001 (0.002) Loss 1.8994 (1.7440) Prec@1 56.250 (60.227) Prec@5 79.688 (81.668) Epoch: [57][2640/10010] Time 0.332 (0.328) Data 0.001 (0.002) Loss 1.6971 (1.7439) Prec@1 60.156 (60.228) Prec@5 82.031 (81.669) Epoch: [57][2650/10010] Time 0.342 (0.328) Data 0.000 (0.002) Loss 1.7859 (1.7437) Prec@1 57.812 (60.232) Prec@5 82.812 (81.678) Epoch: [57][2660/10010] Time 0.329 (0.328) Data 0.001 (0.002) Loss 1.9308 (1.7441) Prec@1 61.719 (60.230) Prec@5 75.000 (81.677) Epoch: [57][2670/10010] Time 0.319 (0.328) Data 0.001 (0.002) Loss 1.6863 (1.7442) Prec@1 64.062 (60.224) Prec@5 80.469 (81.676) Epoch: [57][2680/10010] Time 0.326 (0.328) Data 0.000 (0.002) Loss 1.7920 (1.7443) Prec@1 60.156 (60.219) Prec@5 78.125 (81.672) Epoch: [57][2690/10010] Time 0.337 (0.328) Data 0.001 (0.002) Loss 1.5620 (1.7445) Prec@1 60.938 (60.222) Prec@5 82.812 (81.669) Epoch: [57][2700/10010] Time 0.327 (0.328) Data 0.001 (0.002) Loss 2.0471 (1.7445) Prec@1 50.781 (60.217) Prec@5 77.344 (81.667) Epoch: [57][2710/10010] Time 0.337 (0.328) Data 0.000 (0.002) Loss 1.7634 (1.7443) Prec@1 63.281 (60.223) Prec@5 80.469 (81.670) Epoch: [57][2720/10010] Time 0.339 (0.328) Data 0.001 (0.002) Loss 1.8484 (1.7446) Prec@1 58.594 (60.216) Prec@5 79.688 (81.666) Epoch: [57][2730/10010] Time 0.316 (0.328) Data 0.000 (0.002) Loss 1.6923 (1.7449) Prec@1 63.281 (60.211) Prec@5 82.031 (81.658) Epoch: [57][2740/10010] Time 0.322 (0.328) Data 0.001 (0.002) Loss 1.8325 (1.7453) Prec@1 59.375 (60.208) Prec@5 77.344 (81.651) Epoch: [57][2750/10010] Time 0.332 (0.328) Data 0.000 (0.002) Loss 1.6241 (1.7454) Prec@1 62.500 (60.201) Prec@5 82.812 (81.649) Epoch: [57][2760/10010] Time 0.319 (0.328) Data 0.000 (0.002) Loss 2.1310 (1.7460) Prec@1 51.562 (60.191) Prec@5 75.000 (81.638) Epoch: [57][2770/10010] Time 0.332 (0.328) Data 0.001 (0.002) Loss 1.6556 (1.7460) Prec@1 61.719 (60.191) Prec@5 82.031 (81.637) Epoch: [57][2780/10010] Time 0.326 (0.328) Data 0.001 (0.002) Loss 1.8470 (1.7462) Prec@1 56.250 (60.188) Prec@5 78.906 (81.631) Epoch: [57][2790/10010] Time 0.321 (0.328) Data 0.001 (0.002) Loss 1.4456 (1.7461) Prec@1 64.844 (60.190) Prec@5 90.625 (81.636) Epoch: [57][2800/10010] Time 0.316 (0.328) Data 0.001 (0.002) Loss 1.8268 (1.7461) Prec@1 53.906 (60.184) Prec@5 78.125 (81.633) Epoch: [57][2810/10010] Time 0.315 (0.328) Data 0.000 (0.002) Loss 1.6589 (1.7462) Prec@1 60.938 (60.187) Prec@5 82.031 (81.629) Epoch: [57][2820/10010] Time 0.331 (0.328) Data 0.001 (0.002) Loss 1.8998 (1.7462) Prec@1 63.281 (60.190) Prec@5 80.469 (81.628) Epoch: [57][2830/10010] Time 0.321 (0.328) Data 0.001 (0.002) Loss 1.8385 (1.7464) Prec@1 58.594 (60.187) Prec@5 82.031 (81.626) Epoch: [57][2840/10010] Time 0.326 (0.328) Data 0.001 (0.002) Loss 1.8251 (1.7463) Prec@1 60.938 (60.184) Prec@5 79.688 (81.627) Epoch: [57][2850/10010] Time 0.326 (0.328) Data 0.000 (0.002) Loss 1.6268 (1.7463) Prec@1 61.719 (60.185) Prec@5 83.594 (81.629) Epoch: [57][2860/10010] Time 0.326 (0.328) Data 0.001 (0.001) Loss 1.8689 (1.7461) Prec@1 58.594 (60.187) Prec@5 78.906 (81.630) Epoch: [57][2870/10010] Time 0.314 (0.328) Data 0.000 (0.001) Loss 1.7271 (1.7462) Prec@1 57.812 (60.185) Prec@5 81.250 (81.632) Epoch: [57][2880/10010] Time 0.338 (0.328) Data 0.001 (0.001) Loss 1.5774 (1.7461) Prec@1 62.500 (60.184) Prec@5 83.594 (81.634) Epoch: [57][2890/10010] Time 0.318 (0.328) Data 0.000 (0.001) Loss 1.6614 (1.7461) Prec@1 53.906 (60.181) Prec@5 86.719 (81.637) Epoch: [57][2900/10010] Time 0.319 (0.328) Data 0.001 (0.001) Loss 1.6806 (1.7464) Prec@1 55.469 (60.169) Prec@5 81.250 (81.627) Epoch: [57][2910/10010] Time 0.321 (0.328) Data 0.000 (0.001) Loss 1.8256 (1.7464) Prec@1 60.156 (60.169) Prec@5 81.250 (81.630) Epoch: [57][2920/10010] Time 0.320 (0.328) Data 0.000 (0.001) Loss 1.7624 (1.7462) Prec@1 56.250 (60.175) Prec@5 82.031 (81.632) Epoch: [57][2930/10010] Time 0.323 (0.328) Data 0.001 (0.001) Loss 1.8620 (1.7465) Prec@1 57.031 (60.172) Prec@5 78.906 (81.624) Epoch: [57][2940/10010] Time 0.321 (0.328) Data 0.001 (0.001) Loss 1.7999 (1.7464) Prec@1 60.938 (60.175) Prec@5 83.594 (81.626) Epoch: [57][2950/10010] Time 0.311 (0.328) Data 0.000 (0.001) Loss 1.5549 (1.7462) Prec@1 60.938 (60.174) Prec@5 84.375 (81.631) Epoch: [57][2960/10010] Time 0.339 (0.328) Data 0.001 (0.001) Loss 1.6655 (1.7461) Prec@1 62.500 (60.175) Prec@5 82.031 (81.632) Epoch: [57][2970/10010] Time 0.337 (0.328) Data 0.001 (0.001) Loss 1.6760 (1.7464) Prec@1 64.062 (60.172) Prec@5 82.031 (81.630) Epoch: [57][2980/10010] Time 0.322 (0.328) Data 0.001 (0.001) Loss 1.5866 (1.7465) Prec@1 63.281 (60.174) Prec@5 85.938 (81.629) Epoch: [57][2990/10010] Time 0.315 (0.328) Data 0.001 (0.001) Loss 1.6750 (1.7463) Prec@1 57.812 (60.177) Prec@5 80.469 (81.634) Epoch: [57][3000/10010] Time 0.315 (0.328) Data 0.000 (0.001) Loss 1.6954 (1.7465) Prec@1 55.469 (60.172) Prec@5 82.812 (81.631) Epoch: [57][3010/10010] Time 0.331 (0.328) Data 0.001 (0.001) Loss 1.9091 (1.7465) Prec@1 57.812 (60.171) Prec@5 83.594 (81.632) Epoch: [57][3020/10010] Time 0.335 (0.328) Data 0.001 (0.001) Loss 1.8784 (1.7464) Prec@1 57.031 (60.169) Prec@5 79.688 (81.637) Epoch: [57][3030/10010] Time 0.327 (0.328) Data 0.001 (0.001) Loss 1.4494 (1.7462) Prec@1 61.719 (60.171) Prec@5 85.938 (81.636) Epoch: [57][3040/10010] Time 0.323 (0.328) Data 0.001 (0.001) Loss 1.6017 (1.7463) Prec@1 65.625 (60.166) Prec@5 87.500 (81.635) Epoch: [57][3050/10010] Time 0.312 (0.328) Data 0.001 (0.001) Loss 2.0692 (1.7465) Prec@1 55.469 (60.167) Prec@5 77.344 (81.629) Epoch: [57][3060/10010] Time 0.317 (0.328) Data 0.001 (0.001) Loss 1.9201 (1.7468) Prec@1 57.812 (60.162) Prec@5 75.781 (81.620) Epoch: [57][3070/10010] Time 0.321 (0.328) Data 0.000 (0.001) Loss 1.8460 (1.7468) Prec@1 56.250 (60.162) Prec@5 81.250 (81.620) Epoch: [57][3080/10010] Time 0.307 (0.328) Data 0.001 (0.001) Loss 1.9761 (1.7465) Prec@1 58.594 (60.170) Prec@5 75.781 (81.628) Epoch: [57][3090/10010] Time 0.331 (0.328) Data 0.001 (0.001) Loss 1.5259 (1.7462) Prec@1 66.406 (60.180) Prec@5 82.812 (81.630) Epoch: [57][3100/10010] Time 0.333 (0.328) Data 0.001 (0.001) Loss 1.5534 (1.7463) Prec@1 64.062 (60.179) Prec@5 84.375 (81.627) Epoch: [57][3110/10010] Time 0.336 (0.328) Data 0.000 (0.001) Loss 1.6734 (1.7461) Prec@1 65.625 (60.185) Prec@5 82.031 (81.630) Epoch: [57][3120/10010] Time 0.338 (0.328) Data 0.001 (0.001) Loss 1.5139 (1.7462) Prec@1 62.500 (60.179) Prec@5 83.594 (81.627) Epoch: [57][3130/10010] Time 0.331 (0.328) Data 0.000 (0.001) Loss 2.0724 (1.7463) Prec@1 52.344 (60.179) Prec@5 75.781 (81.627) Epoch: [57][3140/10010] Time 0.340 (0.328) Data 0.001 (0.001) Loss 1.8597 (1.7463) Prec@1 57.031 (60.180) Prec@5 76.562 (81.624) Epoch: [57][3150/10010] Time 0.314 (0.328) Data 0.001 (0.001) Loss 1.7358 (1.7465) Prec@1 60.938 (60.178) Prec@5 83.594 (81.622) Epoch: [57][3160/10010] Time 0.313 (0.328) Data 0.001 (0.001) Loss 1.7995 (1.7467) Prec@1 59.375 (60.174) Prec@5 78.125 (81.618) Epoch: [57][3170/10010] Time 0.318 (0.328) Data 0.001 (0.001) Loss 2.1609 (1.7467) Prec@1 49.219 (60.176) Prec@5 76.562 (81.623) Epoch: [57][3180/10010] Time 0.330 (0.328) Data 0.001 (0.001) Loss 1.5057 (1.7466) Prec@1 65.625 (60.178) Prec@5 83.594 (81.624) Epoch: [57][3190/10010] Time 0.323 (0.328) Data 0.000 (0.001) Loss 1.8007 (1.7465) Prec@1 63.281 (60.181) Prec@5 83.594 (81.627) Epoch: [57][3200/10010] Time 0.336 (0.328) Data 0.001 (0.001) Loss 1.7422 (1.7465) Prec@1 58.594 (60.185) Prec@5 78.906 (81.628) Epoch: [57][3210/10010] Time 0.334 (0.328) Data 0.001 (0.001) Loss 1.8924 (1.7463) Prec@1 59.375 (60.183) Prec@5 75.781 (81.632) Epoch: [57][3220/10010] Time 0.335 (0.328) Data 0.001 (0.001) Loss 1.7516 (1.7462) Prec@1 62.500 (60.186) Prec@5 82.812 (81.634) Epoch: [57][3230/10010] Time 0.316 (0.328) Data 0.000 (0.001) Loss 1.8687 (1.7462) Prec@1 51.562 (60.189) Prec@5 78.906 (81.631) /data/vision/torralba/deepscene/lib/anaconda2/lib/python2.7/site-packages/PIL/TiffImagePlugin.py:709: UserWarning: Corrupt EXIF data. Expecting to read 4 bytes but only got 0. warnings.warn(str(msg)) Epoch: [57][3240/10010] Time 0.337 (0.328) Data 0.000 (0.001) Loss 1.6660 (1.7464) Prec@1 63.281 (60.189) Prec@5 82.812 (81.630) Epoch: [57][3250/10010] Time 0.339 (0.328) Data 0.001 (0.001) Loss 1.6137 (1.7464) Prec@1 62.500 (60.185) Prec@5 83.594 (81.630) Epoch: [57][3260/10010] Time 0.321 (0.328) Data 0.000 (0.001) Loss 1.8024 (1.7467) Prec@1 56.250 (60.175) Prec@5 78.906 (81.624) Epoch: [57][3270/10010] Time 0.330 (0.328) Data 0.001 (0.001) Loss 1.8024 (1.7473) Prec@1 58.594 (60.167) Prec@5 78.906 (81.613) Epoch: [57][3280/10010] Time 0.315 (0.328) Data 0.001 (0.001) Loss 2.1359 (1.7478) Prec@1 50.781 (60.154) Prec@5 75.000 (81.602) Epoch: [57][3290/10010] Time 0.335 (0.328) Data 0.001 (0.001) Loss 1.9875 (1.7478) Prec@1 60.938 (60.159) Prec@5 79.688 (81.600) Epoch: [57][3300/10010] Time 0.334 (0.328) Data 0.001 (0.001) Loss 1.9588 (1.7479) Prec@1 58.594 (60.157) Prec@5 76.562 (81.598) Epoch: [57][3310/10010] Time 0.344 (0.328) Data 0.001 (0.001) Loss 1.9313 (1.7481) Prec@1 57.031 (60.152) Prec@5 83.594 (81.599) Epoch: [57][3320/10010] Time 0.326 (0.328) Data 0.001 (0.001) Loss 2.1022 (1.7480) Prec@1 54.688 (60.154) Prec@5 75.781 (81.599) Epoch: [57][3330/10010] Time 0.316 (0.328) Data 0.001 (0.001) Loss 1.8771 (1.7480) Prec@1 56.250 (60.152) Prec@5 80.469 (81.601) Epoch: [57][3340/10010] Time 0.338 (0.328) Data 0.001 (0.001) Loss 1.7210 (1.7481) Prec@1 60.938 (60.149) Prec@5 81.250 (81.597) Epoch: [57][3350/10010] Time 0.327 (0.328) Data 0.000 (0.001) Loss 1.9440 (1.7482) Prec@1 57.031 (60.146) Prec@5 76.562 (81.596) Epoch: [57][3360/10010] Time 0.335 (0.328) Data 0.000 (0.001) Loss 1.8854 (1.7483) Prec@1 56.250 (60.139) Prec@5 81.250 (81.594) Epoch: [57][3370/10010] Time 0.311 (0.328) Data 0.001 (0.001) Loss 1.8868 (1.7483) Prec@1 60.938 (60.141) Prec@5 75.000 (81.589) Epoch: [57][3380/10010] Time 0.341 (0.328) Data 0.000 (0.001) Loss 1.8144 (1.7485) Prec@1 58.594 (60.137) Prec@5 82.031 (81.589) Epoch: [57][3390/10010] Time 0.328 (0.328) Data 0.001 (0.001) Loss 2.0451 (1.7488) Prec@1 51.562 (60.133) Prec@5 75.000 (81.584) Epoch: [57][3400/10010] Time 0.338 (0.328) Data 0.000 (0.001) Loss 1.9679 (1.7490) Prec@1 59.375 (60.129) Prec@5 77.344 (81.581) Epoch: [57][3410/10010] Time 0.322 (0.328) Data 0.001 (0.001) Loss 1.5505 (1.7490) Prec@1 64.062 (60.126) Prec@5 84.375 (81.581) Epoch: [57][3420/10010] Time 0.331 (0.328) Data 0.001 (0.001) Loss 1.9562 (1.7491) Prec@1 53.906 (60.125) Prec@5 79.688 (81.578) Epoch: [57][3430/10010] Time 0.334 (0.328) Data 0.000 (0.001) Loss 1.7305 (1.7491) Prec@1 59.375 (60.132) Prec@5 83.594 (81.578) Epoch: [57][3440/10010] Time 0.337 (0.328) Data 0.001 (0.001) Loss 1.6863 (1.7492) Prec@1 59.375 (60.129) Prec@5 85.938 (81.581) Epoch: [57][3450/10010] Time 0.320 (0.328) Data 0.000 (0.001) Loss 1.5603 (1.7489) Prec@1 61.719 (60.132) Prec@5 83.594 (81.583) Epoch: [57][3460/10010] Time 0.331 (0.328) Data 0.001 (0.001) Loss 1.6722 (1.7492) Prec@1 60.938 (60.128) Prec@5 81.250 (81.579) Epoch: [57][3470/10010] Time 0.335 (0.328) Data 0.000 (0.001) Loss 1.5137 (1.7491) Prec@1 62.500 (60.129) Prec@5 86.719 (81.581) Epoch: [57][3480/10010] Time 0.332 (0.328) Data 0.001 (0.001) Loss 1.5507 (1.7490) Prec@1 68.750 (60.135) Prec@5 85.156 (81.586) Epoch: [57][3490/10010] Time 0.339 (0.328) Data 0.001 (0.001) Loss 1.7323 (1.7490) Prec@1 62.500 (60.131) Prec@5 78.906 (81.583) Epoch: [57][3500/10010] Time 0.337 (0.328) Data 0.001 (0.001) Loss 1.7052 (1.7491) Prec@1 55.469 (60.129) Prec@5 84.375 (81.585) Epoch: [57][3510/10010] Time 0.323 (0.328) Data 0.000 (0.001) Loss 1.8846 (1.7491) Prec@1 54.688 (60.128) Prec@5 76.562 (81.583) Epoch: [57][3520/10010] Time 0.321 (0.328) Data 0.001 (0.001) Loss 1.6615 (1.7490) Prec@1 61.719 (60.132) Prec@5 82.031 (81.585) Epoch: [57][3530/10010] Time 0.334 (0.328) Data 0.001 (0.001) Loss 1.7616 (1.7491) Prec@1 58.594 (60.128) Prec@5 79.688 (81.582) Epoch: [57][3540/10010] Time 0.317 (0.328) Data 0.001 (0.001) Loss 1.5980 (1.7493) Prec@1 65.625 (60.124) Prec@5 82.812 (81.579) Epoch: [57][3550/10010] Time 0.325 (0.328) Data 0.000 (0.001) Loss 1.7413 (1.7492) Prec@1 62.500 (60.128) Prec@5 84.375 (81.580) Epoch: [57][3560/10010] Time 0.328 (0.328) Data 0.001 (0.001) Loss 1.6389 (1.7493) Prec@1 59.375 (60.124) Prec@5 82.031 (81.581) Epoch: [57][3570/10010] Time 0.326 (0.328) Data 0.000 (0.001) Loss 1.7770 (1.7493) Prec@1 59.375 (60.125) Prec@5 80.469 (81.581) Epoch: [57][3580/10010] Time 0.317 (0.328) Data 0.001 (0.001) Loss 2.0636 (1.7494) Prec@1 53.906 (60.119) Prec@5 79.688 (81.578) Epoch: [57][3590/10010] Time 0.335 (0.328) Data 0.001 (0.001) Loss 1.5693 (1.7496) Prec@1 65.625 (60.119) Prec@5 82.812 (81.573) Epoch: [57][3600/10010] Time 0.324 (0.328) Data 0.001 (0.001) Loss 1.7523 (1.7499) Prec@1 60.938 (60.115) Prec@5 82.812 (81.569) Epoch: [57][3610/10010] Time 0.334 (0.328) Data 0.001 (0.001) Loss 1.9491 (1.7498) Prec@1 56.250 (60.113) Prec@5 81.250 (81.571) Epoch: [57][3620/10010] Time 0.331 (0.328) Data 0.001 (0.001) Loss 1.6274 (1.7497) Prec@1 65.625 (60.115) Prec@5 82.812 (81.574) Epoch: [57][3630/10010] Time 0.328 (0.328) Data 0.000 (0.001) Loss 1.7570 (1.7498) Prec@1 58.594 (60.107) Prec@5 81.250 (81.574) Epoch: [57][3640/10010] Time 0.348 (0.328) Data 0.000 (0.001) Loss 1.8428 (1.7500) Prec@1 63.281 (60.100) Prec@5 81.250 (81.570) Epoch: [57][3650/10010] Time 0.331 (0.328) Data 0.001 (0.001) Loss 1.8775 (1.7501) Prec@1 52.344 (60.097) Prec@5 80.469 (81.570) Epoch: [57][3660/10010] Time 0.319 (0.328) Data 0.000 (0.001) Loss 1.7596 (1.7501) Prec@1 62.500 (60.098) Prec@5 83.594 (81.572) Epoch: [57][3670/10010] Time 0.320 (0.328) Data 0.001 (0.001) Loss 1.7785 (1.7503) Prec@1 59.375 (60.096) Prec@5 83.594 (81.570) Epoch: [57][3680/10010] Time 0.333 (0.328) Data 0.000 (0.001) Loss 2.0846 (1.7503) Prec@1 48.438 (60.092) Prec@5 79.688 (81.570) Epoch: [57][3690/10010] Time 0.320 (0.328) Data 0.001 (0.001) Loss 1.5809 (1.7507) Prec@1 60.156 (60.083) Prec@5 85.156 (81.561) Epoch: [57][3700/10010] Time 0.320 (0.328) Data 0.000 (0.001) Loss 1.6676 (1.7507) Prec@1 64.062 (60.083) Prec@5 87.500 (81.563) Epoch: [57][3710/10010] Time 0.321 (0.328) Data 0.000 (0.001) Loss 1.6758 (1.7506) Prec@1 61.719 (60.082) Prec@5 81.250 (81.562) Epoch: [57][3720/10010] Time 0.340 (0.328) Data 0.000 (0.001) Loss 1.3803 (1.7505) Prec@1 64.844 (60.081) Prec@5 85.938 (81.561) Epoch: [57][3730/10010] Time 0.314 (0.328) Data 0.001 (0.001) Loss 1.6294 (1.7505) Prec@1 65.625 (60.084) Prec@5 82.031 (81.561) /data/vision/torralba/deepscene/lib/anaconda2/lib/python2.7/site-packages/PIL/TiffImagePlugin.py:692: UserWarning: Possibly corrupt EXIF data. Expecting to read 2555904 bytes but only got 0. Skipping tag 0 "Skipping tag %s" % (size, len(data), tag)) Epoch: [57][3740/10010] Time 0.314 (0.328) Data 0.001 (0.001) Loss 1.5818 (1.7505) Prec@1 64.844 (60.083) Prec@5 83.594 (81.562) Epoch: [57][3750/10010] Time 0.330 (0.328) Data 0.001 (0.001) Loss 2.0069 (1.7505) Prec@1 50.000 (60.080) Prec@5 78.906 (81.560) Epoch: [57][3760/10010] Time 0.323 (0.328) Data 0.000 (0.001) Loss 1.6023 (1.7506) Prec@1 62.500 (60.083) Prec@5 84.375 (81.560) Epoch: [57][3770/10010] Time 0.317 (0.328) Data 0.001 (0.001) Loss 1.6152 (1.7507) Prec@1 61.719 (60.080) Prec@5 81.250 (81.561) Epoch: [57][3780/10010] Time 0.328 (0.328) Data 0.001 (0.001) Loss 1.6179 (1.7508) Prec@1 63.281 (60.078) Prec@5 82.812 (81.560) Epoch: [57][3790/10010] Time 0.320 (0.328) Data 0.000 (0.001) Loss 1.5363 (1.7509) Prec@1 62.500 (60.073) Prec@5 85.938 (81.560) Epoch: [57][3800/10010] Time 0.314 (0.328) Data 0.001 (0.001) Loss 1.7663 (1.7506) Prec@1 56.250 (60.074) Prec@5 82.031 (81.568) Epoch: [57][3810/10010] Time 0.315 (0.328) Data 0.001 (0.001) Loss 1.4802 (1.7506) Prec@1 66.406 (60.076) Prec@5 86.719 (81.569) Epoch: [57][3820/10010] Time 0.318 (0.328) Data 0.001 (0.001) Loss 1.8203 (1.7507) Prec@1 60.938 (60.075) Prec@5 81.250 (81.564) Epoch: [57][3830/10010] Time 0.313 (0.328) Data 0.000 (0.001) Loss 1.8272 (1.7508) Prec@1 59.375 (60.070) Prec@5 82.812 (81.562) Epoch: [57][3840/10010] Time 0.321 (0.328) Data 0.001 (0.001) Loss 1.5880 (1.7506) Prec@1 63.281 (60.076) Prec@5 82.812 (81.566) Epoch: [57][3850/10010] Time 0.339 (0.328) Data 0.001 (0.001) Loss 1.7846 (1.7505) Prec@1 61.719 (60.079) Prec@5 80.469 (81.569) Epoch: [57][3860/10010] Time 0.335 (0.328) Data 0.001 (0.001) Loss 1.9102 (1.7506) Prec@1 53.125 (60.078) Prec@5 77.344 (81.567) Epoch: [57][3870/10010] Time 0.322 (0.328) Data 0.001 (0.001) Loss 1.7010 (1.7505) Prec@1 62.500 (60.080) Prec@5 81.250 (81.571) Epoch: [57][3880/10010] Time 0.328 (0.328) Data 0.000 (0.001) Loss 1.8376 (1.7507) Prec@1 57.812 (60.079) Prec@5 77.344 (81.567) Epoch: [57][3890/10010] Time 0.317 (0.328) Data 0.001 (0.001) Loss 1.5650 (1.7507) Prec@1 58.594 (60.077) Prec@5 84.375 (81.569) Epoch: [57][3900/10010] Time 0.315 (0.328) Data 0.001 (0.001) Loss 1.5222 (1.7505) Prec@1 67.188 (60.081) Prec@5 83.594 (81.573) Epoch: [57][3910/10010] Time 0.320 (0.328) Data 0.000 (0.001) Loss 1.7878 (1.7504) Prec@1 56.250 (60.083) Prec@5 78.125 (81.576) Epoch: [57][3920/10010] Time 0.332 (0.328) Data 0.000 (0.001) Loss 1.5838 (1.7505) Prec@1 67.969 (60.080) Prec@5 82.812 (81.574) Epoch: [57][3930/10010] Time 0.338 (0.328) Data 0.001 (0.001) Loss 1.6081 (1.7505) Prec@1 66.406 (60.079) Prec@5 82.031 (81.573) Epoch: [57][3940/10010] Time 0.336 (0.328) Data 0.000 (0.001) Loss 1.7814 (1.7503) Prec@1 58.594 (60.083) Prec@5 81.250 (81.578) Epoch: [57][3950/10010] Time 0.326 (0.328) Data 0.000 (0.001) Loss 1.8492 (1.7504) Prec@1 58.594 (60.082) Prec@5 80.469 (81.575) Epoch: [57][3960/10010] Time 0.329 (0.328) Data 0.000 (0.001) Loss 1.7965 (1.7504) Prec@1 59.375 (60.082) Prec@5 80.469 (81.572) Epoch: [57][3970/10010] Time 0.340 (0.328) Data 0.001 (0.001) Loss 2.0333 (1.7505) Prec@1 53.906 (60.077) Prec@5 75.781 (81.573) Epoch: [57][3980/10010] Time 0.315 (0.328) Data 0.000 (0.001) Loss 1.6534 (1.7505) Prec@1 64.062 (60.080) Prec@5 80.469 (81.573) Epoch: [57][3990/10010] Time 0.319 (0.328) Data 0.001 (0.001) Loss 1.7646 (1.7503) Prec@1 57.031 (60.084) Prec@5 82.031 (81.576) Epoch: [57][4000/10010] Time 0.336 (0.328) Data 0.000 (0.001) Loss 1.9502 (1.7502) Prec@1 60.938 (60.087) Prec@5 78.125 (81.576) Epoch: [57][4010/10010] Time 0.314 (0.328) Data 0.001 (0.001) Loss 2.0108 (1.7502) Prec@1 52.344 (60.082) Prec@5 72.656 (81.576) Epoch: [57][4020/10010] Time 0.315 (0.328) Data 0.001 (0.001) Loss 1.2395 (1.7499) Prec@1 69.531 (60.087) Prec@5 89.844 (81.579) Epoch: [57][4030/10010] Time 0.318 (0.328) Data 0.001 (0.001) Loss 1.7601 (1.7501) Prec@1 55.469 (60.083) Prec@5 78.125 (81.576) Epoch: [57][4040/10010] Time 0.328 (0.328) Data 0.001 (0.001) Loss 1.8939 (1.7500) Prec@1 58.594 (60.089) Prec@5 82.812 (81.579) Epoch: [57][4050/10010] Time 0.332 (0.328) Data 0.001 (0.001) Loss 1.5988 (1.7503) Prec@1 56.250 (60.084) Prec@5 84.375 (81.576) Epoch: [57][4060/10010] Time 0.331 (0.328) Data 0.000 (0.001) Loss 1.9093 (1.7503) Prec@1 52.344 (60.086) Prec@5 78.125 (81.577) Epoch: [57][4070/10010] Time 0.311 (0.328) Data 0.000 (0.001) Loss 1.5989 (1.7505) Prec@1 62.500 (60.081) Prec@5 83.594 (81.575) Epoch: [57][4080/10010] Time 0.339 (0.328) Data 0.000 (0.001) Loss 1.8233 (1.7508) Prec@1 54.688 (60.073) Prec@5 85.938 (81.573) Epoch: [57][4090/10010] Time 0.315 (0.328) Data 0.000 (0.001) Loss 1.7079 (1.7509) Prec@1 59.375 (60.072) Prec@5 81.250 (81.570) Epoch: [57][4100/10010] Time 0.336 (0.328) Data 0.001 (0.001) Loss 1.6269 (1.7509) Prec@1 62.500 (60.074) Prec@5 85.156 (81.569) Epoch: [57][4110/10010] Time 0.324 (0.328) Data 0.001 (0.001) Loss 2.0354 (1.7509) Prec@1 53.906 (60.076) Prec@5 78.906 (81.571) Epoch: [57][4120/10010] Time 0.335 (0.328) Data 0.001 (0.001) Loss 1.5913 (1.7511) Prec@1 62.500 (60.070) Prec@5 83.594 (81.570) Epoch: [57][4130/10010] Time 0.338 (0.328) Data 0.000 (0.001) Loss 1.7036 (1.7512) Prec@1 60.938 (60.071) Prec@5 82.812 (81.570) Epoch: [57][4140/10010] Time 0.340 (0.328) Data 0.001 (0.001) Loss 1.8245 (1.7513) Prec@1 62.500 (60.067) Prec@5 78.906 (81.568) Epoch: [57][4150/10010] Time 0.333 (0.328) Data 0.001 (0.001) Loss 1.7238 (1.7513) Prec@1 60.156 (60.066) Prec@5 82.031 (81.568) Epoch: [57][4160/10010] Time 0.316 (0.328) Data 0.001 (0.001) Loss 1.5341 (1.7512) Prec@1 67.188 (60.067) Prec@5 83.594 (81.570) Epoch: [57][4170/10010] Time 0.333 (0.328) Data 0.001 (0.001) Loss 1.7806 (1.7512) Prec@1 57.812 (60.071) Prec@5 83.594 (81.566) Epoch: [57][4180/10010] Time 0.333 (0.328) Data 0.000 (0.001) Loss 1.6168 (1.7511) Prec@1 60.156 (60.071) Prec@5 81.250 (81.566) Epoch: [57][4190/10010] Time 0.313 (0.328) Data 0.001 (0.001) Loss 1.8434 (1.7510) Prec@1 56.250 (60.074) Prec@5 80.469 (81.569) Epoch: [57][4200/10010] Time 0.334 (0.328) Data 0.000 (0.001) Loss 1.6423 (1.7509) Prec@1 59.375 (60.073) Prec@5 85.938 (81.570) Epoch: [57][4210/10010] Time 0.340 (0.328) Data 0.001 (0.001) Loss 1.5634 (1.7509) Prec@1 66.406 (60.071) Prec@5 85.156 (81.569) Epoch: [57][4220/10010] Time 0.318 (0.328) Data 0.001 (0.001) Loss 1.4592 (1.7508) Prec@1 65.625 (60.073) Prec@5 89.844 (81.574) Epoch: [57][4230/10010] Time 0.334 (0.328) Data 0.001 (0.001) Loss 1.5413 (1.7506) Prec@1 64.844 (60.076) Prec@5 85.156 (81.577) Epoch: [57][4240/10010] Time 0.326 (0.328) Data 0.001 (0.001) Loss 2.0588 (1.7507) Prec@1 58.594 (60.070) Prec@5 75.781 (81.578) Epoch: [57][4250/10010] Time 0.320 (0.328) Data 0.000 (0.001) Loss 1.6307 (1.7505) Prec@1 62.500 (60.073) Prec@5 81.250 (81.579) Epoch: [57][4260/10010] Time 0.322 (0.328) Data 0.001 (0.001) Loss 1.4953 (1.7505) Prec@1 68.750 (60.073) Prec@5 85.156 (81.579) Epoch: [57][4270/10010] Time 0.319 (0.328) Data 0.000 (0.001) Loss 1.4076 (1.7504) Prec@1 64.062 (60.074) Prec@5 88.281 (81.581) Epoch: [57][4280/10010] Time 0.341 (0.328) Data 0.001 (0.001) Loss 1.8351 (1.7503) Prec@1 57.812 (60.075) Prec@5 80.469 (81.581) Epoch: [57][4290/10010] Time 0.324 (0.328) Data 0.000 (0.001) Loss 1.4448 (1.7504) Prec@1 64.844 (60.070) Prec@5 81.250 (81.578) Epoch: [57][4300/10010] Time 0.318 (0.328) Data 0.000 (0.001) Loss 1.6479 (1.7505) Prec@1 63.281 (60.069) Prec@5 81.250 (81.575) Epoch: [57][4310/10010] Time 0.312 (0.328) Data 0.001 (0.001) Loss 1.6309 (1.7503) Prec@1 63.281 (60.073) Prec@5 82.031 (81.575) Epoch: [57][4320/10010] Time 0.333 (0.328) Data 0.001 (0.001) Loss 1.8154 (1.7503) Prec@1 57.812 (60.071) Prec@5 82.812 (81.576) Epoch: [57][4330/10010] Time 0.322 (0.328) Data 0.001 (0.001) Loss 2.0868 (1.7506) Prec@1 52.344 (60.068) Prec@5 76.562 (81.571) Epoch: [57][4340/10010] Time 0.315 (0.328) Data 0.001 (0.001) Loss 1.9722 (1.7507) Prec@1 56.250 (60.065) Prec@5 80.469 (81.570) Epoch: [57][4350/10010] Time 0.325 (0.328) Data 0.001 (0.001) Loss 1.5035 (1.7506) Prec@1 69.531 (60.067) Prec@5 82.812 (81.571) Epoch: [57][4360/10010] Time 0.327 (0.328) Data 0.001 (0.001) Loss 1.7910 (1.7506) Prec@1 64.062 (60.072) Prec@5 81.250 (81.571) Epoch: [57][4370/10010] Time 0.319 (0.328) Data 0.001 (0.001) Loss 1.9129 (1.7505) Prec@1 53.906 (60.073) Prec@5 78.906 (81.574) Epoch: [57][4380/10010] Time 0.320 (0.328) Data 0.001 (0.001) Loss 1.5125 (1.7505) Prec@1 64.062 (60.075) Prec@5 82.812 (81.572) Epoch: [57][4390/10010] Time 0.321 (0.328) Data 0.001 (0.001) Loss 1.8523 (1.7507) Prec@1 54.688 (60.069) Prec@5 82.812 (81.567) Epoch: [57][4400/10010] Time 0.322 (0.328) Data 0.000 (0.001) Loss 1.7715 (1.7509) Prec@1 59.375 (60.064) Prec@5 81.250 (81.566) Epoch: [57][4410/10010] Time 0.339 (0.328) Data 0.000 (0.001) Loss 1.6913 (1.7510) Prec@1 60.156 (60.062) Prec@5 82.812 (81.564) Epoch: [57][4420/10010] Time 0.333 (0.328) Data 0.001 (0.001) Loss 2.1107 (1.7512) Prec@1 46.094 (60.056) Prec@5 75.000 (81.562) Epoch: [57][4430/10010] Time 0.334 (0.328) Data 0.001 (0.001) Loss 1.3981 (1.7511) Prec@1 65.625 (60.054) Prec@5 84.375 (81.561) Epoch: [57][4440/10010] Time 0.322 (0.328) Data 0.001 (0.001) Loss 2.0770 (1.7511) Prec@1 52.344 (60.055) Prec@5 77.344 (81.562) Epoch: [57][4450/10010] Time 0.338 (0.328) Data 0.001 (0.001) Loss 2.0281 (1.7512) Prec@1 58.594 (60.055) Prec@5 76.562 (81.558) Epoch: [57][4460/10010] Time 0.321 (0.328) Data 0.001 (0.001) Loss 1.8421 (1.7512) Prec@1 57.031 (60.056) Prec@5 82.031 (81.561) Epoch: [57][4470/10010] Time 0.324 (0.328) Data 0.000 (0.001) Loss 1.7101 (1.7510) Prec@1 63.281 (60.059) Prec@5 82.031 (81.563) Epoch: [57][4480/10010] Time 0.329 (0.328) Data 0.000 (0.001) Loss 2.0713 (1.7510) Prec@1 53.906 (60.059) Prec@5 78.906 (81.562) Epoch: [57][4490/10010] Time 0.328 (0.328) Data 0.001 (0.001) Loss 1.9022 (1.7511) Prec@1 64.844 (60.061) Prec@5 80.469 (81.559) Epoch: [57][4500/10010] Time 0.312 (0.328) Data 0.001 (0.001) Loss 2.0212 (1.7510) Prec@1 50.000 (60.061) Prec@5 77.344 (81.563) Epoch: [57][4510/10010] Time 0.314 (0.328) Data 0.000 (0.001) Loss 1.9830 (1.7510) Prec@1 53.125 (60.062) Prec@5 80.469 (81.563) Epoch: [57][4520/10010] Time 0.325 (0.328) Data 0.000 (0.001) Loss 1.5728 (1.7512) Prec@1 64.844 (60.061) Prec@5 84.375 (81.561) Epoch: [57][4530/10010] Time 0.330 (0.328) Data 0.001 (0.001) Loss 1.7221 (1.7513) Prec@1 60.156 (60.058) Prec@5 82.031 (81.559) Epoch: [57][4540/10010] Time 0.330 (0.328) Data 0.001 (0.001) Loss 1.7111 (1.7512) Prec@1 61.719 (60.059) Prec@5 82.812 (81.560) Epoch: [57][4550/10010] Time 0.327 (0.328) Data 0.001 (0.001) Loss 1.7285 (1.7513) Prec@1 59.375 (60.056) Prec@5 81.250 (81.557) Epoch: [57][4560/10010] Time 0.318 (0.328) Data 0.001 (0.001) Loss 1.9155 (1.7513) Prec@1 56.250 (60.055) Prec@5 76.562 (81.558) Epoch: [57][4570/10010] Time 0.330 (0.328) Data 0.001 (0.001) Loss 1.6183 (1.7513) Prec@1 66.406 (60.055) Prec@5 85.938 (81.556) Epoch: [57][4580/10010] Time 0.312 (0.328) Data 0.001 (0.001) Loss 1.6301 (1.7513) Prec@1 62.500 (60.060) Prec@5 86.719 (81.559) Epoch: [57][4590/10010] Time 0.316 (0.328) Data 0.001 (0.001) Loss 1.4829 (1.7511) Prec@1 71.094 (60.062) Prec@5 88.281 (81.562) Epoch: [57][4600/10010] Time 0.337 (0.328) Data 0.000 (0.001) Loss 1.5240 (1.7510) Prec@1 65.625 (60.065) Prec@5 82.812 (81.563) Epoch: [57][4610/10010] Time 0.337 (0.328) Data 0.000 (0.001) Loss 1.9696 (1.7509) Prec@1 50.000 (60.064) Prec@5 76.562 (81.564) Epoch: [57][4620/10010] Time 0.336 (0.328) Data 0.000 (0.001) Loss 1.8518 (1.7509) Prec@1 57.812 (60.062) Prec@5 80.469 (81.566) Epoch: [57][4630/10010] Time 0.314 (0.328) Data 0.001 (0.001) Loss 1.5948 (1.7508) Prec@1 61.719 (60.064) Prec@5 83.594 (81.566) Epoch: [57][4640/10010] Time 0.318 (0.328) Data 0.001 (0.001) Loss 1.7166 (1.7510) Prec@1 58.594 (60.061) Prec@5 82.812 (81.564) Epoch: [57][4650/10010] Time 0.337 (0.328) Data 0.001 (0.001) Loss 1.9401 (1.7510) Prec@1 53.906 (60.058) Prec@5 78.906 (81.563) Epoch: [57][4660/10010] Time 0.320 (0.328) Data 0.000 (0.001) Loss 1.5920 (1.7510) Prec@1 64.844 (60.061) Prec@5 82.031 (81.561) Epoch: [57][4670/10010] Time 0.331 (0.328) Data 0.000 (0.001) Loss 2.4266 (1.7511) Prec@1 47.656 (60.055) Prec@5 71.875 (81.563) Epoch: [57][4680/10010] Time 0.321 (0.328) Data 0.000 (0.001) Loss 1.7113 (1.7510) Prec@1 57.031 (60.056) Prec@5 80.469 (81.563) Epoch: [57][4690/10010] Time 0.322 (0.328) Data 0.001 (0.001) Loss 2.1012 (1.7512) Prec@1 51.562 (60.051) Prec@5 76.562 (81.560) Epoch: [57][4700/10010] Time 0.317 (0.328) Data 0.000 (0.001) Loss 1.9269 (1.7511) Prec@1 54.688 (60.054) Prec@5 78.125 (81.562) Epoch: [57][4710/10010] Time 0.333 (0.328) Data 0.001 (0.001) Loss 1.8165 (1.7511) Prec@1 57.812 (60.055) Prec@5 76.562 (81.563) Epoch: [57][4720/10010] Time 0.329 (0.327) Data 0.001 (0.001) Loss 1.9578 (1.7513) Prec@1 54.688 (60.047) Prec@5 78.906 (81.561) Epoch: [57][4730/10010] Time 0.336 (0.327) Data 0.000 (0.001) Loss 1.2767 (1.7512) Prec@1 67.969 (60.049) Prec@5 89.062 (81.563) Epoch: [57][4740/10010] Time 0.316 (0.327) Data 0.000 (0.001) Loss 1.8406 (1.7511) Prec@1 59.375 (60.051) Prec@5 78.125 (81.565) Epoch: [57][4750/10010] Time 0.317 (0.327) Data 0.001 (0.001) Loss 1.9197 (1.7510) Prec@1 57.812 (60.052) Prec@5 77.344 (81.566) Epoch: [57][4760/10010] Time 0.323 (0.327) Data 0.001 (0.001) Loss 1.9312 (1.7511) Prec@1 52.344 (60.052) Prec@5 79.688 (81.566) Epoch: [57][4770/10010] Time 0.313 (0.327) Data 0.001 (0.001) Loss 1.6712 (1.7511) Prec@1 60.938 (60.049) Prec@5 82.031 (81.565) Epoch: [57][4780/10010] Time 0.331 (0.327) Data 0.001 (0.001) Loss 1.5631 (1.7513) Prec@1 62.500 (60.046) Prec@5 86.719 (81.565) Epoch: [57][4790/10010] Time 0.311 (0.327) Data 0.001 (0.001) Loss 1.4933 (1.7513) Prec@1 64.844 (60.047) Prec@5 89.062 (81.566) Epoch: [57][4800/10010] Time 0.340 (0.328) Data 0.000 (0.001) Loss 1.4807 (1.7513) Prec@1 66.406 (60.048) Prec@5 83.594 (81.564) Epoch: [57][4810/10010] Time 0.311 (0.328) Data 0.001 (0.001) Loss 1.8029 (1.7514) Prec@1 57.812 (60.047) Prec@5 79.688 (81.562) Epoch: [57][4820/10010] Time 0.340 (0.328) Data 0.000 (0.001) Loss 1.5314 (1.7513) Prec@1 62.500 (60.050) Prec@5 82.031 (81.563) Epoch: [57][4830/10010] Time 0.326 (0.328) Data 0.001 (0.001) Loss 1.5487 (1.7511) Prec@1 57.812 (60.053) Prec@5 85.938 (81.567) Epoch: [57][4840/10010] Time 0.324 (0.328) Data 0.000 (0.001) Loss 1.7385 (1.7509) Prec@1 64.844 (60.057) Prec@5 78.125 (81.568) Epoch: [57][4850/10010] Time 0.335 (0.328) Data 0.000 (0.001) Loss 1.8154 (1.7509) Prec@1 55.469 (60.058) Prec@5 85.156 (81.569) Epoch: [57][4860/10010] Time 0.342 (0.328) Data 0.001 (0.001) Loss 1.4341 (1.7507) Prec@1 70.312 (60.062) Prec@5 83.594 (81.572) Epoch: [57][4870/10010] Time 0.323 (0.328) Data 0.000 (0.001) Loss 2.0783 (1.7507) Prec@1 55.469 (60.064) Prec@5 75.000 (81.570) Epoch: [57][4880/10010] Time 0.319 (0.328) Data 0.000 (0.001) Loss 1.6088 (1.7508) Prec@1 63.281 (60.061) Prec@5 82.812 (81.567) Epoch: [57][4890/10010] Time 0.335 (0.328) Data 0.001 (0.001) Loss 1.9942 (1.7508) Prec@1 56.250 (60.058) Prec@5 76.562 (81.566) Epoch: [57][4900/10010] Time 0.337 (0.328) Data 0.000 (0.001) Loss 2.0350 (1.7508) Prec@1 55.469 (60.058) Prec@5 78.906 (81.568) Epoch: [57][4910/10010] Time 0.305 (0.328) Data 0.001 (0.001) Loss 1.6522 (1.7507) Prec@1 64.062 (60.058) Prec@5 83.594 (81.566) Epoch: [57][4920/10010] Time 0.327 (0.328) Data 0.001 (0.001) Loss 1.5827 (1.7506) Prec@1 60.938 (60.060) Prec@5 84.375 (81.567) Epoch: [57][4930/10010] Time 0.315 (0.328) Data 0.001 (0.001) Loss 1.2636 (1.7506) Prec@1 67.969 (60.061) Prec@5 89.062 (81.567) Epoch: [57][4940/10010] Time 0.323 (0.328) Data 0.001 (0.001) Loss 1.7962 (1.7507) Prec@1 58.594 (60.060) Prec@5 77.344 (81.566) Epoch: [57][4950/10010] Time 0.322 (0.328) Data 0.000 (0.001) Loss 1.6496 (1.7507) Prec@1 62.500 (60.062) Prec@5 84.375 (81.567) Epoch: [57][4960/10010] Time 0.329 (0.328) Data 0.001 (0.001) Loss 1.8449 (1.7507) Prec@1 60.156 (60.063) Prec@5 80.469 (81.567) Epoch: [57][4970/10010] Time 0.328 (0.328) Data 0.001 (0.001) Loss 1.7816 (1.7510) Prec@1 60.938 (60.059) Prec@5 77.344 (81.566) Epoch: [57][4980/10010] Time 0.331 (0.328) Data 0.001 (0.001) Loss 1.3910 (1.7510) Prec@1 62.500 (60.059) Prec@5 88.281 (81.568) Epoch: [57][4990/10010] Time 0.317 (0.328) Data 0.001 (0.001) Loss 1.6608 (1.7509) Prec@1 65.625 (60.064) Prec@5 82.812 (81.570) Epoch: [57][5000/10010] Time 0.323 (0.328) Data 0.001 (0.001) Loss 1.5535 (1.7508) Prec@1 59.375 (60.065) Prec@5 84.375 (81.571) Epoch: [57][5010/10010] Time 0.320 (0.328) Data 0.001 (0.001) Loss 1.7081 (1.7509) Prec@1 63.281 (60.064) Prec@5 83.594 (81.570) Epoch: [57][5020/10010] Time 0.315 (0.328) Data 0.001 (0.001) Loss 1.7100 (1.7510) Prec@1 59.375 (60.061) Prec@5 82.031 (81.570) Epoch: [57][5030/10010] Time 0.338 (0.328) Data 0.001 (0.001) Loss 2.1162 (1.7509) Prec@1 50.000 (60.061) Prec@5 77.344 (81.568) Epoch: [57][5040/10010] Time 0.334 (0.328) Data 0.001 (0.001) Loss 2.2097 (1.7510) Prec@1 50.000 (60.060) Prec@5 76.562 (81.569) Epoch: [57][5050/10010] Time 0.335 (0.328) Data 0.001 (0.001) Loss 1.6262 (1.7510) Prec@1 60.938 (60.060) Prec@5 82.812 (81.569) Epoch: [57][5060/10010] Time 0.338 (0.328) Data 0.001 (0.001) Loss 1.4889 (1.7510) Prec@1 70.312 (60.063) Prec@5 85.156 (81.571) Epoch: [57][5070/10010] Time 0.326 (0.328) Data 0.001 (0.001) Loss 1.5760 (1.7510) Prec@1 64.062 (60.060) Prec@5 80.469 (81.568) Epoch: [57][5080/10010] Time 0.340 (0.328) Data 0.001 (0.001) Loss 1.8452 (1.7512) Prec@1 57.812 (60.056) Prec@5 81.250 (81.566) Epoch: [57][5090/10010] Time 0.342 (0.328) Data 0.000 (0.001) Loss 1.9888 (1.7513) Prec@1 60.156 (60.055) Prec@5 74.219 (81.564) Epoch: [57][5100/10010] Time 0.332 (0.328) Data 0.001 (0.001) Loss 1.4695 (1.7513) Prec@1 67.188 (60.051) Prec@5 85.938 (81.562) Epoch: [57][5110/10010] Time 0.330 (0.328) Data 0.000 (0.001) Loss 1.7919 (1.7513) Prec@1 61.719 (60.052) Prec@5 80.469 (81.563) Epoch: [57][5120/10010] Time 0.320 (0.328) Data 0.001 (0.001) Loss 1.6836 (1.7514) Prec@1 60.938 (60.049) Prec@5 82.812 (81.560) Epoch: [57][5130/10010] Time 0.338 (0.328) Data 0.001 (0.001) Loss 1.7501 (1.7516) Prec@1 62.500 (60.044) Prec@5 85.156 (81.558) Epoch: [57][5140/10010] Time 0.341 (0.328) Data 0.001 (0.001) Loss 2.0413 (1.7518) Prec@1 56.250 (60.040) Prec@5 76.562 (81.556) Epoch: [57][5150/10010] Time 0.323 (0.328) Data 0.000 (0.001) Loss 1.7391 (1.7518) Prec@1 60.156 (60.042) Prec@5 82.812 (81.555) Epoch: [57][5160/10010] Time 0.329 (0.328) Data 0.001 (0.001) Loss 1.7726 (1.7518) Prec@1 55.469 (60.043) Prec@5 80.469 (81.556) Epoch: [57][5170/10010] Time 0.325 (0.328) Data 0.001 (0.001) Loss 1.7893 (1.7520) Prec@1 58.594 (60.042) Prec@5 81.250 (81.553) Epoch: [57][5180/10010] Time 0.341 (0.328) Data 0.001 (0.001) Loss 1.5810 (1.7519) Prec@1 65.625 (60.045) Prec@5 84.375 (81.554) Epoch: [57][5190/10010] Time 0.319 (0.328) Data 0.000 (0.001) Loss 1.9851 (1.7518) Prec@1 57.031 (60.046) Prec@5 77.344 (81.556) Epoch: [57][5200/10010] Time 0.316 (0.328) Data 0.001 (0.001) Loss 1.6718 (1.7520) Prec@1 59.375 (60.044) Prec@5 85.156 (81.554) Epoch: [57][5210/10010] Time 0.338 (0.328) Data 0.001 (0.001) Loss 1.6864 (1.7521) Prec@1 60.156 (60.041) Prec@5 85.938 (81.552) Epoch: [57][5220/10010] Time 0.337 (0.328) Data 0.000 (0.001) Loss 1.8699 (1.7522) Prec@1 57.812 (60.039) Prec@5 81.250 (81.552) Epoch: [57][5230/10010] Time 0.336 (0.328) Data 0.001 (0.001) Loss 1.5426 (1.7524) Prec@1 62.500 (60.037) Prec@5 83.594 (81.550) Epoch: [57][5240/10010] Time 0.317 (0.328) Data 0.000 (0.001) Loss 1.8915 (1.7525) Prec@1 55.469 (60.033) Prec@5 76.562 (81.548) Epoch: [57][5250/10010] Time 0.319 (0.328) Data 0.001 (0.001) Loss 1.9047 (1.7523) Prec@1 52.344 (60.037) Prec@5 77.344 (81.551) Epoch: [57][5260/10010] Time 0.313 (0.328) Data 0.000 (0.001) Loss 1.5762 (1.7521) Prec@1 66.406 (60.042) Prec@5 84.375 (81.556) Epoch: [57][5270/10010] Time 0.317 (0.328) Data 0.001 (0.001) Loss 1.3603 (1.7522) Prec@1 62.500 (60.040) Prec@5 88.281 (81.554) Epoch: [57][5280/10010] Time 0.341 (0.328) Data 0.001 (0.001) Loss 1.7944 (1.7524) Prec@1 60.938 (60.034) Prec@5 79.688 (81.553) Epoch: [57][5290/10010] Time 0.317 (0.328) Data 0.001 (0.001) Loss 1.8507 (1.7526) Prec@1 57.812 (60.035) Prec@5 80.469 (81.549) Epoch: [57][5300/10010] Time 0.321 (0.328) Data 0.000 (0.001) Loss 2.0633 (1.7527) Prec@1 54.688 (60.034) Prec@5 76.562 (81.548) Epoch: [57][5310/10010] Time 0.337 (0.328) Data 0.001 (0.001) Loss 1.6968 (1.7528) Prec@1 60.938 (60.033) Prec@5 81.250 (81.546) Epoch: [57][5320/10010] Time 0.320 (0.328) Data 0.001 (0.001) Loss 1.4326 (1.7526) Prec@1 67.188 (60.036) Prec@5 85.156 (81.549) Epoch: [57][5330/10010] Time 0.335 (0.328) Data 0.001 (0.001) Loss 1.5309 (1.7525) Prec@1 61.719 (60.035) Prec@5 84.375 (81.550) Epoch: [57][5340/10010] Time 0.323 (0.328) Data 0.000 (0.001) Loss 2.0379 (1.7526) Prec@1 56.250 (60.036) Prec@5 77.344 (81.548) Epoch: [57][5350/10010] Time 0.320 (0.328) Data 0.000 (0.001) Loss 1.5229 (1.7526) Prec@1 66.406 (60.037) Prec@5 86.719 (81.549) Epoch: [57][5360/10010] Time 0.324 (0.328) Data 0.001 (0.001) Loss 1.4498 (1.7526) Prec@1 64.062 (60.038) Prec@5 86.719 (81.551) Epoch: [57][5370/10010] Time 0.322 (0.328) Data 0.001 (0.001) Loss 1.8982 (1.7527) Prec@1 60.156 (60.037) Prec@5 82.031 (81.552) Epoch: [57][5380/10010] Time 0.332 (0.328) Data 0.001 (0.001) Loss 1.9371 (1.7527) Prec@1 57.812 (60.035) Prec@5 79.688 (81.550) Epoch: [57][5390/10010] Time 0.323 (0.328) Data 0.001 (0.001) Loss 1.6376 (1.7528) Prec@1 60.156 (60.032) Prec@5 82.031 (81.547) Epoch: [57][5400/10010] Time 0.334 (0.328) Data 0.001 (0.001) Loss 1.6634 (1.7529) Prec@1 63.281 (60.031) Prec@5 85.938 (81.544) Epoch: [57][5410/10010] Time 0.330 (0.328) Data 0.001 (0.001) Loss 1.6803 (1.7529) Prec@1 58.594 (60.030) Prec@5 81.250 (81.545) Epoch: [57][5420/10010] Time 0.316 (0.328) Data 0.001 (0.001) Loss 1.7118 (1.7531) Prec@1 56.250 (60.022) Prec@5 82.031 (81.543) Epoch: [57][5430/10010] Time 0.321 (0.327) Data 0.000 (0.001) Loss 2.0643 (1.7531) Prec@1 50.781 (60.023) Prec@5 78.125 (81.544) Epoch: [57][5440/10010] Time 0.333 (0.327) Data 0.000 (0.001) Loss 1.8876 (1.7533) Prec@1 57.812 (60.019) Prec@5 78.125 (81.541) Epoch: [57][5450/10010] Time 0.320 (0.327) Data 0.001 (0.001) Loss 1.7981 (1.7533) Prec@1 57.812 (60.018) Prec@5 81.250 (81.542) Epoch: [57][5460/10010] Time 0.334 (0.327) Data 0.000 (0.001) Loss 1.9024 (1.7534) Prec@1 61.719 (60.016) Prec@5 80.469 (81.541) Epoch: [57][5470/10010] Time 0.316 (0.327) Data 0.001 (0.001) Loss 1.7979 (1.7534) Prec@1 53.906 (60.017) Prec@5 80.469 (81.541) Epoch: [57][5480/10010] Time 0.322 (0.327) Data 0.001 (0.001) Loss 1.7817 (1.7536) Prec@1 56.250 (60.007) Prec@5 81.250 (81.539) Epoch: [57][5490/10010] Time 0.336 (0.327) Data 0.000 (0.001) Loss 1.8187 (1.7537) Prec@1 54.688 (60.003) Prec@5 81.250 (81.537) Epoch: [57][5500/10010] Time 0.317 (0.327) Data 0.001 (0.001) Loss 1.7161 (1.7540) Prec@1 58.594 (59.997) Prec@5 80.469 (81.533) Epoch: [57][5510/10010] Time 0.335 (0.327) Data 0.001 (0.001) Loss 1.7359 (1.7540) Prec@1 64.062 (60.000) Prec@5 81.250 (81.531) Epoch: [57][5520/10010] Time 0.326 (0.327) Data 0.001 (0.001) Loss 1.7422 (1.7541) Prec@1 62.500 (59.998) Prec@5 84.375 (81.529) Epoch: [57][5530/10010] Time 0.322 (0.327) Data 0.000 (0.001) Loss 1.4684 (1.7541) Prec@1 69.531 (59.997) Prec@5 85.938 (81.530) Epoch: [57][5540/10010] Time 0.331 (0.327) Data 0.001 (0.001) Loss 1.7762 (1.7542) Prec@1 63.281 (59.995) Prec@5 77.344 (81.528) Epoch: [57][5550/10010] Time 0.333 (0.327) Data 0.000 (0.001) Loss 1.6221 (1.7542) Prec@1 63.281 (59.994) Prec@5 85.156 (81.528) Epoch: [57][5560/10010] Time 0.335 (0.327) Data 0.000 (0.001) Loss 1.7210 (1.7544) Prec@1 60.938 (59.994) Prec@5 79.688 (81.526) Epoch: [57][5570/10010] Time 0.333 (0.327) Data 0.001 (0.001) Loss 2.0279 (1.7545) Prec@1 53.906 (59.992) Prec@5 75.781 (81.526) Epoch: [57][5580/10010] Time 0.318 (0.327) Data 0.000 (0.001) Loss 1.6672 (1.7544) Prec@1 59.375 (59.995) Prec@5 79.688 (81.525) Epoch: [57][5590/10010] Time 0.317 (0.327) Data 0.001 (0.001) Loss 1.5316 (1.7544) Prec@1 63.281 (59.997) Prec@5 85.156 (81.524) Epoch: [57][5600/10010] Time 0.312 (0.327) Data 0.001 (0.001) Loss 1.9845 (1.7544) Prec@1 54.688 (59.996) Prec@5 77.344 (81.525) Epoch: [57][5610/10010] Time 0.323 (0.327) Data 0.000 (0.001) Loss 1.4706 (1.7543) Prec@1 60.938 (59.998) Prec@5 84.375 (81.525) Epoch: [57][5620/10010] Time 0.319 (0.327) Data 0.001 (0.001) Loss 1.7679 (1.7543) Prec@1 59.375 (59.999) Prec@5 82.031 (81.526) Epoch: [57][5630/10010] Time 0.318 (0.327) Data 0.001 (0.001) Loss 2.1970 (1.7544) Prec@1 54.688 (59.997) Prec@5 72.656 (81.524) Epoch: [57][5640/10010] Time 0.319 (0.327) Data 0.001 (0.001) Loss 1.7301 (1.7544) Prec@1 57.812 (59.996) Prec@5 82.812 (81.524) Epoch: [57][5650/10010] Time 0.333 (0.327) Data 0.001 (0.001) Loss 1.5615 (1.7543) Prec@1 63.281 (59.996) Prec@5 83.594 (81.527) Epoch: [57][5660/10010] Time 0.325 (0.327) Data 0.001 (0.001) Loss 1.6567 (1.7544) Prec@1 58.594 (59.995) Prec@5 85.156 (81.527) Epoch: [57][5670/10010] Time 0.330 (0.327) Data 0.001 (0.001) Loss 1.5268 (1.7545) Prec@1 62.500 (59.992) Prec@5 83.594 (81.525) Epoch: [57][5680/10010] Time 0.336 (0.327) Data 0.000 (0.001) Loss 1.4781 (1.7543) Prec@1 64.844 (59.995) Prec@5 87.500 (81.529) Epoch: [57][5690/10010] Time 0.332 (0.327) Data 0.000 (0.001) Loss 2.1281 (1.7543) Prec@1 50.000 (59.999) Prec@5 75.781 (81.530) Epoch: [57][5700/10010] Time 0.324 (0.327) Data 0.001 (0.001) Loss 1.7287 (1.7543) Prec@1 59.375 (59.998) Prec@5 82.812 (81.530) Epoch: [57][5710/10010] Time 0.320 (0.327) Data 0.001 (0.001) Loss 1.6978 (1.7543) Prec@1 60.938 (59.998) Prec@5 80.469 (81.529) Epoch: [57][5720/10010] Time 0.322 (0.327) Data 0.001 (0.001) Loss 1.7814 (1.7542) Prec@1 53.906 (59.997) Prec@5 83.594 (81.532) Epoch: [57][5730/10010] Time 0.339 (0.327) Data 0.000 (0.001) Loss 1.8474 (1.7542) Prec@1 57.812 (59.998) Prec@5 77.344 (81.531) Epoch: [57][5740/10010] Time 0.323 (0.327) Data 0.001 (0.001) Loss 1.6005 (1.7544) Prec@1 59.375 (59.997) Prec@5 85.938 (81.531) Epoch: [57][5750/10010] Time 0.322 (0.327) Data 0.000 (0.001) Loss 1.6533 (1.7543) Prec@1 61.719 (59.999) Prec@5 82.031 (81.532) Epoch: [57][5760/10010] Time 0.325 (0.327) Data 0.000 (0.001) Loss 1.5873 (1.7543) Prec@1 62.500 (59.995) Prec@5 83.594 (81.531) Epoch: [57][5770/10010] Time 0.341 (0.327) Data 0.000 (0.001) Loss 1.5471 (1.7544) Prec@1 60.938 (59.993) Prec@5 85.938 (81.531) Epoch: [57][5780/10010] Time 0.325 (0.327) Data 0.001 (0.001) Loss 1.7513 (1.7545) Prec@1 57.031 (59.991) Prec@5 81.250 (81.530) Epoch: [57][5790/10010] Time 0.330 (0.327) Data 0.001 (0.001) Loss 1.5499 (1.7544) Prec@1 69.531 (59.994) Prec@5 81.250 (81.532) Epoch: [57][5800/10010] Time 0.321 (0.327) Data 0.001 (0.001) Loss 1.8039 (1.7544) Prec@1 56.250 (59.995) Prec@5 82.031 (81.532) Epoch: [57][5810/10010] Time 0.340 (0.327) Data 0.000 (0.001) Loss 1.5107 (1.7545) Prec@1 65.625 (59.990) Prec@5 85.156 (81.529) Epoch: [57][5820/10010] Time 0.339 (0.327) Data 0.001 (0.001) Loss 1.9293 (1.7546) Prec@1 56.250 (59.987) Prec@5 76.562 (81.527) Epoch: [57][5830/10010] Time 0.315 (0.327) Data 0.001 (0.001) Loss 1.7196 (1.7546) Prec@1 62.500 (59.987) Prec@5 82.812 (81.528) Epoch: [57][5840/10010] Time 0.323 (0.327) Data 0.000 (0.001) Loss 2.0149 (1.7547) Prec@1 52.344 (59.980) Prec@5 75.781 (81.526) Epoch: [57][5850/10010] Time 0.316 (0.327) Data 0.000 (0.001) Loss 1.6363 (1.7547) Prec@1 61.719 (59.979) Prec@5 82.812 (81.527) Epoch: [57][5860/10010] Time 0.338 (0.327) Data 0.000 (0.001) Loss 1.5349 (1.7547) Prec@1 64.844 (59.979) Prec@5 85.156 (81.526) Epoch: [57][5870/10010] Time 0.334 (0.327) Data 0.001 (0.001) Loss 1.6738 (1.7550) Prec@1 60.938 (59.976) Prec@5 82.031 (81.523) Epoch: [57][5880/10010] Time 0.325 (0.327) Data 0.000 (0.001) Loss 2.2970 (1.7550) Prec@1 52.344 (59.976) Prec@5 68.750 (81.522) Epoch: [57][5890/10010] Time 0.329 (0.327) Data 0.001 (0.001) Loss 1.6943 (1.7549) Prec@1 64.062 (59.980) Prec@5 81.250 (81.523) Epoch: [57][5900/10010] Time 0.333 (0.327) Data 0.001 (0.001) Loss 1.8865 (1.7549) Prec@1 59.375 (59.979) Prec@5 76.562 (81.520) Epoch: [57][5910/10010] Time 0.329 (0.327) Data 0.001 (0.001) Loss 1.5286 (1.7549) Prec@1 60.938 (59.980) Prec@5 85.938 (81.521) Epoch: [57][5920/10010] Time 0.340 (0.327) Data 0.000 (0.001) Loss 1.7421 (1.7550) Prec@1 61.719 (59.975) Prec@5 84.375 (81.520) Epoch: [57][5930/10010] Time 0.342 (0.327) Data 0.000 (0.001) Loss 1.8892 (1.7550) Prec@1 60.938 (59.974) Prec@5 82.031 (81.520) Epoch: [57][5940/10010] Time 0.331 (0.327) Data 0.000 (0.001) Loss 2.0654 (1.7551) Prec@1 53.906 (59.973) Prec@5 80.469 (81.519) Epoch: [57][5950/10010] Time 0.328 (0.327) Data 0.001 (0.001) Loss 2.0384 (1.7551) Prec@1 53.125 (59.972) Prec@5 82.812 (81.518) Epoch: [57][5960/10010] Time 0.335 (0.327) Data 0.001 (0.001) Loss 1.4476 (1.7552) Prec@1 66.406 (59.970) Prec@5 85.156 (81.517) Epoch: [57][5970/10010] Time 0.338 (0.327) Data 0.000 (0.001) Loss 1.9232 (1.7553) Prec@1 52.344 (59.967) Prec@5 77.344 (81.516) Epoch: [57][5980/10010] Time 0.322 (0.327) Data 0.001 (0.001) Loss 1.9692 (1.7552) Prec@1 54.688 (59.966) Prec@5 78.906 (81.518) Epoch: [57][5990/10010] Time 0.324 (0.327) Data 0.001 (0.001) Loss 1.7117 (1.7551) Prec@1 61.719 (59.969) Prec@5 84.375 (81.518) Epoch: [57][6000/10010] Time 0.334 (0.327) Data 0.000 (0.001) Loss 1.8286 (1.7551) Prec@1 57.031 (59.967) Prec@5 81.250 (81.517) Epoch: [57][6010/10010] Time 0.335 (0.327) Data 0.001 (0.001) Loss 1.7996 (1.7551) Prec@1 57.812 (59.968) Prec@5 82.031 (81.517) Epoch: [57][6020/10010] Time 0.334 (0.327) Data 0.000 (0.001) Loss 1.9741 (1.7552) Prec@1 55.469 (59.968) Prec@5 76.562 (81.517) Epoch: [57][6030/10010] Time 0.314 (0.327) Data 0.001 (0.001) Loss 1.6232 (1.7551) Prec@1 63.281 (59.969) Prec@5 83.594 (81.517) Epoch: [57][6040/10010] Time 0.328 (0.327) Data 0.001 (0.001) Loss 1.6117 (1.7550) Prec@1 59.375 (59.971) Prec@5 85.156 (81.519) Epoch: [57][6050/10010] Time 0.317 (0.327) Data 0.000 (0.001) Loss 1.7304 (1.7552) Prec@1 58.594 (59.970) Prec@5 80.469 (81.515) Epoch: [57][6060/10010] Time 0.320 (0.327) Data 0.001 (0.001) Loss 1.6074 (1.7551) Prec@1 64.844 (59.970) Prec@5 85.938 (81.515) Epoch: [57][6070/10010] Time 0.337 (0.327) Data 0.001 (0.001) Loss 1.6205 (1.7551) Prec@1 62.500 (59.972) Prec@5 83.594 (81.514) Epoch: [57][6080/10010] Time 0.309 (0.327) Data 0.001 (0.001) Loss 2.0521 (1.7552) Prec@1 54.688 (59.970) Prec@5 75.000 (81.512) Epoch: [57][6090/10010] Time 0.311 (0.327) Data 0.001 (0.001) Loss 2.1711 (1.7552) Prec@1 50.781 (59.968) Prec@5 77.344 (81.512) Epoch: [57][6100/10010] Time 0.341 (0.327) Data 0.000 (0.001) Loss 1.8632 (1.7553) Prec@1 64.062 (59.966) Prec@5 78.125 (81.511) Epoch: [57][6110/10010] Time 0.324 (0.327) Data 0.000 (0.001) Loss 1.3420 (1.7553) Prec@1 71.094 (59.968) Prec@5 86.719 (81.513) Epoch: [57][6120/10010] Time 0.332 (0.327) Data 0.001 (0.001) Loss 1.8088 (1.7553) Prec@1 57.031 (59.968) Prec@5 83.594 (81.512) Epoch: [57][6130/10010] Time 0.319 (0.327) Data 0.000 (0.001) Loss 1.7868 (1.7552) Prec@1 57.031 (59.966) Prec@5 82.812 (81.512) Epoch: [57][6140/10010] Time 0.326 (0.327) Data 0.001 (0.001) Loss 1.6393 (1.7553) Prec@1 58.594 (59.965) Prec@5 83.594 (81.513) Epoch: [57][6150/10010] Time 0.337 (0.327) Data 0.001 (0.001) Loss 1.8538 (1.7552) Prec@1 60.938 (59.965) Prec@5 78.125 (81.514) Epoch: [57][6160/10010] Time 0.331 (0.327) Data 0.001 (0.001) Loss 1.6679 (1.7554) Prec@1 57.812 (59.962) Prec@5 83.594 (81.512) Epoch: [57][6170/10010] Time 0.325 (0.327) Data 0.000 (0.001) Loss 1.4270 (1.7554) Prec@1 63.281 (59.959) Prec@5 85.156 (81.511) Epoch: [57][6180/10010] Time 0.322 (0.327) Data 0.001 (0.001) Loss 2.0363 (1.7555) Prec@1 57.812 (59.957) Prec@5 78.906 (81.510) Epoch: [57][6190/10010] Time 0.340 (0.327) Data 0.001 (0.001) Loss 1.8561 (1.7553) Prec@1 61.719 (59.960) Prec@5 79.688 (81.514) Epoch: [57][6200/10010] Time 0.332 (0.327) Data 0.000 (0.001) Loss 1.9675 (1.7554) Prec@1 56.250 (59.958) Prec@5 77.344 (81.513) Epoch: [57][6210/10010] Time 0.325 (0.327) Data 0.001 (0.001) Loss 1.9737 (1.7554) Prec@1 60.938 (59.960) Prec@5 75.781 (81.510) Epoch: [57][6220/10010] Time 0.321 (0.327) Data 0.000 (0.001) Loss 1.9104 (1.7555) Prec@1 58.594 (59.959) Prec@5 78.906 (81.509) Epoch: [57][6230/10010] Time 0.317 (0.327) Data 0.001 (0.001) Loss 1.6465 (1.7555) Prec@1 60.156 (59.959) Prec@5 83.594 (81.511) Epoch: [57][6240/10010] Time 0.318 (0.327) Data 0.000 (0.001) Loss 1.3400 (1.7553) Prec@1 65.625 (59.964) Prec@5 86.719 (81.515) Epoch: [57][6250/10010] Time 0.314 (0.327) Data 0.001 (0.001) Loss 1.9196 (1.7552) Prec@1 53.906 (59.965) Prec@5 79.688 (81.515) Epoch: [57][6260/10010] Time 0.335 (0.327) Data 0.001 (0.001) Loss 1.6308 (1.7552) Prec@1 64.062 (59.965) Prec@5 80.469 (81.515) Epoch: [57][6270/10010] Time 0.322 (0.327) Data 0.000 (0.001) Loss 1.5524 (1.7553) Prec@1 64.844 (59.963) Prec@5 80.469 (81.514) Epoch: [57][6280/10010] Time 0.325 (0.327) Data 0.001 (0.001) Loss 1.9313 (1.7555) Prec@1 54.688 (59.963) Prec@5 77.344 (81.513) Epoch: [57][6290/10010] Time 0.319 (0.327) Data 0.000 (0.001) Loss 2.2177 (1.7553) Prec@1 50.781 (59.966) Prec@5 73.438 (81.515) Epoch: [57][6300/10010] Time 0.313 (0.327) Data 0.000 (0.001) Loss 2.2648 (1.7553) Prec@1 46.094 (59.963) Prec@5 79.688 (81.516) Epoch: [57][6310/10010] Time 0.317 (0.327) Data 0.000 (0.001) Loss 1.8096 (1.7555) Prec@1 57.031 (59.960) Prec@5 80.469 (81.513) Epoch: [57][6320/10010] Time 0.318 (0.327) Data 0.001 (0.001) Loss 1.7618 (1.7553) Prec@1 64.062 (59.963) Prec@5 81.250 (81.515) Epoch: [57][6330/10010] Time 0.327 (0.327) Data 0.001 (0.001) Loss 1.8462 (1.7554) Prec@1 59.375 (59.962) Prec@5 83.594 (81.515) Epoch: [57][6340/10010] Time 0.314 (0.327) Data 0.001 (0.001) Loss 1.8152 (1.7553) Prec@1 56.250 (59.962) Prec@5 80.469 (81.517) Epoch: [57][6350/10010] Time 0.322 (0.327) Data 0.001 (0.001) Loss 1.8128 (1.7554) Prec@1 57.031 (59.961) Prec@5 82.031 (81.517) Epoch: [57][6360/10010] Time 0.334 (0.327) Data 0.000 (0.001) Loss 1.7545 (1.7553) Prec@1 53.125 (59.958) Prec@5 84.375 (81.517) Epoch: [57][6370/10010] Time 0.326 (0.327) Data 0.000 (0.001) Loss 1.7491 (1.7554) Prec@1 61.719 (59.955) Prec@5 78.906 (81.516) Epoch: [57][6380/10010] Time 0.331 (0.327) Data 0.001 (0.001) Loss 1.7427 (1.7555) Prec@1 63.281 (59.952) Prec@5 84.375 (81.514) Epoch: [57][6390/10010] Time 0.318 (0.327) Data 0.001 (0.001) Loss 1.8409 (1.7555) Prec@1 64.062 (59.956) Prec@5 81.250 (81.516) Epoch: [57][6400/10010] Time 0.324 (0.327) Data 0.000 (0.001) Loss 2.0534 (1.7556) Prec@1 57.812 (59.954) Prec@5 76.562 (81.514) Epoch: [57][6410/10010] Time 0.319 (0.327) Data 0.001 (0.001) Loss 1.7597 (1.7555) Prec@1 60.938 (59.956) Prec@5 82.812 (81.515) Epoch: [57][6420/10010] Time 0.315 (0.327) Data 0.001 (0.001) Loss 1.8483 (1.7555) Prec@1 54.688 (59.955) Prec@5 77.344 (81.514) Epoch: [57][6430/10010] Time 0.318 (0.327) Data 0.000 (0.001) Loss 1.4984 (1.7555) Prec@1 67.969 (59.957) Prec@5 85.156 (81.516) Epoch: [57][6440/10010] Time 0.326 (0.327) Data 0.001 (0.001) Loss 1.6233 (1.7555) Prec@1 60.938 (59.957) Prec@5 82.812 (81.517) Epoch: [57][6450/10010] Time 0.317 (0.327) Data 0.001 (0.001) Loss 1.6080 (1.7556) Prec@1 61.719 (59.954) Prec@5 82.812 (81.515) Epoch: [57][6460/10010] Time 0.332 (0.327) Data 0.001 (0.001) Loss 1.8427 (1.7557) Prec@1 58.594 (59.951) Prec@5 79.688 (81.513) Epoch: [57][6470/10010] Time 0.323 (0.327) Data 0.000 (0.001) Loss 1.4100 (1.7558) Prec@1 69.531 (59.950) Prec@5 82.812 (81.510) Epoch: [57][6480/10010] Time 0.330 (0.327) Data 0.001 (0.001) Loss 1.8895 (1.7559) Prec@1 55.469 (59.949) Prec@5 81.250 (81.509) Epoch: [57][6490/10010] Time 0.326 (0.327) Data 0.001 (0.001) Loss 1.5181 (1.7559) Prec@1 64.062 (59.948) Prec@5 85.156 (81.512) Epoch: [57][6500/10010] Time 0.338 (0.327) Data 0.000 (0.001) Loss 2.0675 (1.7561) Prec@1 52.344 (59.945) Prec@5 78.125 (81.509) Epoch: [57][6510/10010] Time 0.324 (0.327) Data 0.000 (0.001) Loss 1.6783 (1.7561) Prec@1 64.062 (59.947) Prec@5 83.594 (81.509) Epoch: [57][6520/10010] Time 0.334 (0.327) Data 0.001 (0.001) Loss 1.8511 (1.7560) Prec@1 56.250 (59.949) Prec@5 82.031 (81.510) Epoch: [57][6530/10010] Time 0.332 (0.327) Data 0.000 (0.001) Loss 1.6381 (1.7561) Prec@1 60.156 (59.947) Prec@5 82.031 (81.508) Epoch: [57][6540/10010] Time 0.330 (0.327) Data 0.000 (0.001) Loss 1.7837 (1.7562) Prec@1 57.031 (59.947) Prec@5 85.156 (81.508) Epoch: [57][6550/10010] Time 0.325 (0.327) Data 0.000 (0.001) Loss 1.8770 (1.7562) Prec@1 55.469 (59.947) Prec@5 78.906 (81.509) Epoch: [57][6560/10010] Time 0.333 (0.327) Data 0.000 (0.001) Loss 1.8878 (1.7563) Prec@1 57.031 (59.948) Prec@5 79.688 (81.508) Epoch: [57][6570/10010] Time 0.335 (0.327) Data 0.001 (0.001) Loss 1.4019 (1.7562) Prec@1 68.750 (59.950) Prec@5 85.156 (81.509) Epoch: [57][6580/10010] Time 0.323 (0.327) Data 0.000 (0.001) Loss 1.9085 (1.7563) Prec@1 53.906 (59.946) Prec@5 76.562 (81.508) Epoch: [57][6590/10010] Time 0.341 (0.327) Data 0.001 (0.001) Loss 1.9699 (1.7563) Prec@1 52.344 (59.944) Prec@5 81.250 (81.508) Epoch: [57][6600/10010] Time 0.329 (0.327) Data 0.000 (0.001) Loss 1.9878 (1.7564) Prec@1 53.906 (59.945) Prec@5 75.781 (81.507) Epoch: [57][6610/10010] Time 0.319 (0.327) Data 0.001 (0.001) Loss 1.8521 (1.7565) Prec@1 54.688 (59.943) Prec@5 82.031 (81.505) Epoch: [57][6620/10010] Time 0.325 (0.327) Data 0.001 (0.001) Loss 1.8425 (1.7564) Prec@1 57.031 (59.943) Prec@5 82.812 (81.507) Epoch: [57][6630/10010] Time 0.319 (0.327) Data 0.001 (0.001) Loss 1.6147 (1.7564) Prec@1 61.719 (59.944) Prec@5 81.250 (81.507) Epoch: [57][6640/10010] Time 0.317 (0.327) Data 0.001 (0.001) Loss 1.5967 (1.7565) Prec@1 58.594 (59.942) Prec@5 85.938 (81.507) Epoch: [57][6650/10010] Time 0.326 (0.327) Data 0.001 (0.001) Loss 1.9489 (1.7564) Prec@1 54.688 (59.943) Prec@5 76.562 (81.509) Epoch: [57][6660/10010] Time 0.317 (0.327) Data 0.000 (0.001) Loss 1.9675 (1.7565) Prec@1 56.250 (59.942) Prec@5 76.562 (81.505) Epoch: [57][6670/10010] Time 0.309 (0.327) Data 0.001 (0.001) Loss 1.6074 (1.7565) Prec@1 66.406 (59.945) Prec@5 83.594 (81.506) Epoch: [57][6680/10010] Time 0.316 (0.327) Data 0.001 (0.001) Loss 1.6330 (1.7565) Prec@1 62.500 (59.944) Prec@5 82.031 (81.504) Epoch: [57][6690/10010] Time 0.331 (0.327) Data 0.001 (0.001) Loss 1.6296 (1.7565) Prec@1 60.938 (59.947) Prec@5 82.812 (81.503) Epoch: [57][6700/10010] Time 0.324 (0.327) Data 0.000 (0.001) Loss 1.9169 (1.7565) Prec@1 61.719 (59.947) Prec@5 78.125 (81.505) Epoch: [57][6710/10010] Time 0.331 (0.327) Data 0.000 (0.001) Loss 1.6072 (1.7565) Prec@1 61.719 (59.946) Prec@5 84.375 (81.504) Epoch: [57][6720/10010] Time 0.328 (0.327) Data 0.001 (0.001) Loss 1.6298 (1.7564) Prec@1 60.938 (59.948) Prec@5 82.812 (81.504) Epoch: [57][6730/10010] Time 0.339 (0.327) Data 0.001 (0.001) Loss 1.7213 (1.7565) Prec@1 57.031 (59.946) Prec@5 83.594 (81.506) Epoch: [57][6740/10010] Time 0.333 (0.327) Data 0.000 (0.001) Loss 1.6014 (1.7564) Prec@1 60.156 (59.946) Prec@5 84.375 (81.507) Epoch: [57][6750/10010] Time 0.333 (0.327) Data 0.001 (0.001) Loss 1.8242 (1.7563) Prec@1 55.469 (59.948) Prec@5 77.344 (81.507) Epoch: [57][6760/10010] Time 0.325 (0.327) Data 0.000 (0.001) Loss 1.9141 (1.7563) Prec@1 49.219 (59.948) Prec@5 76.562 (81.507) Epoch: [57][6770/10010] Time 0.337 (0.327) Data 0.000 (0.001) Loss 1.8433 (1.7562) Prec@1 57.812 (59.949) Prec@5 81.250 (81.509) Epoch: [57][6780/10010] Time 0.327 (0.327) Data 0.000 (0.001) Loss 1.8769 (1.7563) Prec@1 59.375 (59.947) Prec@5 78.906 (81.507) Epoch: [57][6790/10010] Time 0.330 (0.327) Data 0.001 (0.001) Loss 1.7969 (1.7564) Prec@1 57.031 (59.947) Prec@5 82.031 (81.507) Epoch: [57][6800/10010] Time 0.324 (0.327) Data 0.000 (0.001) Loss 2.0213 (1.7564) Prec@1 54.688 (59.944) Prec@5 75.781 (81.506) Epoch: [57][6810/10010] Time 0.321 (0.327) Data 0.001 (0.001) Loss 2.4377 (1.7565) Prec@1 48.438 (59.944) Prec@5 71.094 (81.506) Epoch: [57][6820/10010] Time 0.331 (0.327) Data 0.001 (0.001) Loss 1.9724 (1.7565) Prec@1 56.250 (59.946) Prec@5 78.906 (81.507) Epoch: [57][6830/10010] Time 0.323 (0.327) Data 0.001 (0.001) Loss 1.6273 (1.7566) Prec@1 58.594 (59.944) Prec@5 85.156 (81.507) Epoch: [57][6840/10010] Time 0.332 (0.327) Data 0.000 (0.001) Loss 1.8050 (1.7566) Prec@1 62.500 (59.943) Prec@5 82.812 (81.507) Epoch: [57][6850/10010] Time 0.327 (0.327) Data 0.000 (0.001) Loss 1.9612 (1.7567) Prec@1 57.812 (59.941) Prec@5 78.906 (81.506) Epoch: [57][6860/10010] Time 0.321 (0.327) Data 0.001 (0.001) Loss 1.9999 (1.7567) Prec@1 52.344 (59.939) Prec@5 78.125 (81.505) Epoch: [57][6870/10010] Time 0.339 (0.327) Data 0.001 (0.001) Loss 1.5695 (1.7567) Prec@1 64.844 (59.939) Prec@5 82.031 (81.505) Epoch: [57][6880/10010] Time 0.314 (0.327) Data 0.001 (0.001) Loss 1.6417 (1.7567) Prec@1 60.938 (59.941) Prec@5 85.938 (81.505) Epoch: [57][6890/10010] Time 0.318 (0.327) Data 0.001 (0.001) Loss 1.7651 (1.7569) Prec@1 64.062 (59.937) Prec@5 78.125 (81.503) Epoch: [57][6900/10010] Time 0.341 (0.327) Data 0.001 (0.001) Loss 1.8401 (1.7571) Prec@1 53.906 (59.932) Prec@5 81.250 (81.500) Epoch: [57][6910/10010] Time 0.325 (0.327) Data 0.001 (0.001) Loss 1.7037 (1.7571) Prec@1 63.281 (59.933) Prec@5 79.688 (81.497) Epoch: [57][6920/10010] Time 0.323 (0.327) Data 0.001 (0.001) Loss 1.7741 (1.7571) Prec@1 60.156 (59.934) Prec@5 83.594 (81.498) Epoch: [57][6930/10010] Time 0.315 (0.327) Data 0.000 (0.001) Loss 1.8632 (1.7571) Prec@1 57.031 (59.935) Prec@5 78.906 (81.499) Epoch: [57][6940/10010] Time 0.311 (0.327) Data 0.001 (0.001) Loss 1.5772 (1.7571) Prec@1 62.500 (59.935) Prec@5 84.375 (81.499) Epoch: [57][6950/10010] Time 0.320 (0.327) Data 0.001 (0.001) Loss 2.0646 (1.7571) Prec@1 56.250 (59.934) Prec@5 77.344 (81.496) Epoch: [57][6960/10010] Time 0.317 (0.327) Data 0.001 (0.001) Loss 1.7420 (1.7571) Prec@1 66.406 (59.935) Prec@5 79.688 (81.497) Epoch: [57][6970/10010] Time 0.313 (0.327) Data 0.001 (0.001) Loss 1.9754 (1.7572) Prec@1 54.688 (59.932) Prec@5 78.906 (81.498) Epoch: [57][6980/10010] Time 0.321 (0.327) Data 0.001 (0.001) Loss 1.8068 (1.7572) Prec@1 55.469 (59.931) Prec@5 79.688 (81.498) Epoch: [57][6990/10010] Time 0.334 (0.327) Data 0.001 (0.001) Loss 1.8491 (1.7573) Prec@1 56.250 (59.927) Prec@5 80.469 (81.497) Epoch: [57][7000/10010] Time 0.325 (0.327) Data 0.000 (0.001) Loss 1.4585 (1.7572) Prec@1 68.750 (59.929) Prec@5 85.938 (81.498) Epoch: [57][7010/10010] Time 0.319 (0.327) Data 0.001 (0.001) Loss 1.8260 (1.7574) Prec@1 60.156 (59.925) Prec@5 82.031 (81.496) Epoch: [57][7020/10010] Time 0.327 (0.327) Data 0.000 (0.001) Loss 1.9415 (1.7574) Prec@1 57.812 (59.928) Prec@5 77.344 (81.494) Epoch: [57][7030/10010] Time 0.323 (0.327) Data 0.001 (0.001) Loss 1.7466 (1.7573) Prec@1 61.719 (59.929) Prec@5 82.812 (81.495) Epoch: [57][7040/10010] Time 0.315 (0.327) Data 0.001 (0.001) Loss 1.6788 (1.7573) Prec@1 61.719 (59.928) Prec@5 85.156 (81.497) Epoch: [57][7050/10010] Time 0.332 (0.327) Data 0.000 (0.001) Loss 1.4317 (1.7572) Prec@1 65.625 (59.929) Prec@5 87.500 (81.500) Epoch: [57][7060/10010] Time 0.328 (0.327) Data 0.001 (0.001) Loss 1.6120 (1.7571) Prec@1 63.281 (59.931) Prec@5 84.375 (81.502) Epoch: [57][7070/10010] Time 0.337 (0.327) Data 0.000 (0.001) Loss 1.6694 (1.7571) Prec@1 59.375 (59.931) Prec@5 85.938 (81.502) /data/vision/torralba/deepscene/lib/anaconda2/lib/python2.7/site-packages/PIL/TiffImagePlugin.py:692: UserWarning: Possibly corrupt EXIF data. Expecting to read 19660800 bytes but only got 0. Skipping tag 0 "Skipping tag %s" % (size, len(data), tag)) /data/vision/torralba/deepscene/lib/anaconda2/lib/python2.7/site-packages/PIL/TiffImagePlugin.py:692: UserWarning: Possibly corrupt EXIF data. Expecting to read 18481152 bytes but only got 0. Skipping tag 0 "Skipping tag %s" % (size, len(data), tag)) /data/vision/torralba/deepscene/lib/anaconda2/lib/python2.7/site-packages/PIL/TiffImagePlugin.py:692: UserWarning: Possibly corrupt EXIF data. Expecting to read 37093376 bytes but only got 0. Skipping tag 0 "Skipping tag %s" % (size, len(data), tag)) /data/vision/torralba/deepscene/lib/anaconda2/lib/python2.7/site-packages/PIL/TiffImagePlugin.py:692: UserWarning: Possibly corrupt EXIF data. Expecting to read 39976960 bytes but only got 0. Skipping tag 0 "Skipping tag %s" % (size, len(data), tag)) /data/vision/torralba/deepscene/lib/anaconda2/lib/python2.7/site-packages/PIL/TiffImagePlugin.py:692: UserWarning: Possibly corrupt EXIF data. Expecting to read 34865152 bytes but only got 0. Skipping tag 0 "Skipping tag %s" % (size, len(data), tag)) /data/vision/torralba/deepscene/lib/anaconda2/lib/python2.7/site-packages/PIL/TiffImagePlugin.py:709: UserWarning: Corrupt EXIF data. Expecting to read 12 bytes but only got 10. warnings.warn(str(msg)) Epoch: [57][7080/10010] Time 0.333 (0.327) Data 0.001 (0.001) Loss 1.8891 (1.7570) Prec@1 56.250 (59.933) Prec@5 80.469 (81.502) Epoch: [57][7090/10010] Time 0.315 (0.327) Data 0.001 (0.001) Loss 1.5892 (1.7569) Prec@1 60.938 (59.934) Prec@5 85.156 (81.503) Epoch: [57][7100/10010] Time 0.321 (0.327) Data 0.000 (0.001) Loss 1.6070 (1.7568) Prec@1 60.156 (59.935) Prec@5 85.156 (81.505) Epoch: [57][7110/10010] Time 0.338 (0.327) Data 0.000 (0.001) Loss 2.0400 (1.7569) Prec@1 54.688 (59.933) Prec@5 75.000 (81.503) Epoch: [57][7120/10010] Time 0.316 (0.327) Data 0.001 (0.001) Loss 1.9217 (1.7570) Prec@1 56.250 (59.932) Prec@5 79.688 (81.501) Epoch: [57][7130/10010] Time 0.312 (0.327) Data 0.000 (0.001) Loss 2.1452 (1.7572) Prec@1 49.219 (59.929) Prec@5 74.219 (81.498) Epoch: [57][7140/10010] Time 0.331 (0.327) Data 0.001 (0.001) Loss 1.8486 (1.7572) Prec@1 56.250 (59.928) Prec@5 81.250 (81.500) Epoch: [57][7150/10010] Time 0.312 (0.327) Data 0.001 (0.001) Loss 1.7466 (1.7573) Prec@1 61.719 (59.927) Prec@5 85.156 (81.499) Epoch: [57][7160/10010] Time 0.326 (0.327) Data 0.001 (0.001) Loss 1.9618 (1.7574) Prec@1 50.000 (59.923) Prec@5 78.125 (81.497) Epoch: [57][7170/10010] Time 0.340 (0.327) Data 0.000 (0.001) Loss 1.6856 (1.7573) Prec@1 60.938 (59.924) Prec@5 81.250 (81.496) Epoch: [57][7180/10010] Time 0.334 (0.327) Data 0.000 (0.001) Loss 1.8754 (1.7574) Prec@1 60.938 (59.922) Prec@5 76.562 (81.494) Epoch: [57][7190/10010] Time 0.321 (0.327) Data 0.001 (0.001) Loss 1.8190 (1.7574) Prec@1 59.375 (59.921) Prec@5 81.250 (81.494) Epoch: [57][7200/10010] Time 0.341 (0.327) Data 0.001 (0.001) Loss 1.9664 (1.7575) Prec@1 54.688 (59.920) Prec@5 79.688 (81.495) Epoch: [57][7210/10010] Time 0.325 (0.327) Data 0.001 (0.001) Loss 1.7460 (1.7575) Prec@1 59.375 (59.915) Prec@5 82.812 (81.497) Epoch: [57][7220/10010] Time 0.339 (0.327) Data 0.001 (0.001) Loss 1.7129 (1.7574) Prec@1 59.375 (59.917) Prec@5 82.031 (81.499) Epoch: [57][7230/10010] Time 0.320 (0.327) Data 0.001 (0.001) Loss 1.8037 (1.7574) Prec@1 60.938 (59.919) Prec@5 79.688 (81.500) Epoch: [57][7240/10010] Time 0.320 (0.327) Data 0.001 (0.001) Loss 2.0038 (1.7574) Prec@1 54.688 (59.916) Prec@5 79.688 (81.499) Epoch: [57][7250/10010] Time 0.330 (0.327) Data 0.001 (0.001) Loss 1.6386 (1.7574) Prec@1 66.406 (59.917) Prec@5 83.594 (81.499) Epoch: [57][7260/10010] Time 0.338 (0.327) Data 0.001 (0.001) Loss 1.7906 (1.7575) Prec@1 58.594 (59.917) Prec@5 82.031 (81.498) Epoch: [57][7270/10010] Time 0.341 (0.327) Data 0.000 (0.001) Loss 1.6673 (1.7575) Prec@1 62.500 (59.917) Prec@5 82.031 (81.499) Epoch: [57][7280/10010] Time 0.333 (0.327) Data 0.001 (0.001) Loss 1.7541 (1.7576) Prec@1 64.062 (59.917) Prec@5 83.594 (81.498) Epoch: [57][7290/10010] Time 0.315 (0.327) Data 0.001 (0.001) Loss 2.0186 (1.7576) Prec@1 57.031 (59.918) Prec@5 73.438 (81.497) Epoch: [57][7300/10010] Time 0.334 (0.327) Data 0.001 (0.001) Loss 1.8968 (1.7576) Prec@1 52.344 (59.918) Prec@5 78.906 (81.498) Epoch: [57][7310/10010] Time 0.328 (0.327) Data 0.001 (0.001) Loss 2.0014 (1.7575) Prec@1 56.250 (59.920) Prec@5 78.906 (81.498) Epoch: [57][7320/10010] Time 0.338 (0.327) Data 0.001 (0.001) Loss 1.9307 (1.7576) Prec@1 55.469 (59.918) Prec@5 79.688 (81.495) Epoch: [57][7330/10010] Time 0.315 (0.327) Data 0.001 (0.001) Loss 1.9322 (1.7576) Prec@1 59.375 (59.918) Prec@5 78.125 (81.495) Epoch: [57][7340/10010] Time 0.332 (0.327) Data 0.001 (0.001) Loss 1.6622 (1.7578) Prec@1 56.250 (59.915) Prec@5 84.375 (81.494) Epoch: [57][7350/10010] Time 0.311 (0.327) Data 0.001 (0.001) Loss 1.6815 (1.7578) Prec@1 60.938 (59.915) Prec@5 83.594 (81.492) Epoch: [57][7360/10010] Time 0.317 (0.327) Data 0.000 (0.001) Loss 2.0578 (1.7577) Prec@1 53.906 (59.915) Prec@5 77.344 (81.493) Epoch: [57][7370/10010] Time 0.314 (0.327) Data 0.001 (0.001) Loss 1.6291 (1.7577) Prec@1 61.719 (59.913) Prec@5 82.031 (81.493) Epoch: [57][7380/10010] Time 0.342 (0.327) Data 0.001 (0.001) Loss 1.4535 (1.7577) Prec@1 67.969 (59.914) Prec@5 88.281 (81.492) Epoch: [57][7390/10010] Time 0.341 (0.327) Data 0.000 (0.001) Loss 1.5705 (1.7578) Prec@1 65.625 (59.912) Prec@5 85.156 (81.489) Epoch: [57][7400/10010] Time 0.341 (0.327) Data 0.001 (0.001) Loss 1.9553 (1.7578) Prec@1 55.469 (59.912) Prec@5 78.906 (81.489) Epoch: [57][7410/10010] Time 0.317 (0.327) Data 0.001 (0.001) Loss 2.0545 (1.7579) Prec@1 53.906 (59.911) Prec@5 74.219 (81.486) Epoch: [57][7420/10010] Time 0.342 (0.327) Data 0.001 (0.001) Loss 2.0647 (1.7578) Prec@1 50.000 (59.910) Prec@5 76.562 (81.488) Epoch: [57][7430/10010] Time 0.339 (0.327) Data 0.001 (0.001) Loss 1.8534 (1.7579) Prec@1 56.250 (59.909) Prec@5 78.906 (81.487) Epoch: [57][7440/10010] Time 0.338 (0.327) Data 0.001 (0.001) Loss 2.1640 (1.7580) Prec@1 53.125 (59.908) Prec@5 78.125 (81.486) Epoch: [57][7450/10010] Time 0.342 (0.327) Data 0.000 (0.001) Loss 1.6420 (1.7579) Prec@1 64.062 (59.909) Prec@5 82.812 (81.488) Epoch: [57][7460/10010] Time 0.335 (0.327) Data 0.001 (0.001) Loss 1.7273 (1.7581) Prec@1 59.375 (59.906) Prec@5 83.594 (81.487) Epoch: [57][7470/10010] Time 0.334 (0.327) Data 0.000 (0.001) Loss 1.9412 (1.7581) Prec@1 53.906 (59.905) Prec@5 80.469 (81.487) Epoch: [57][7480/10010] Time 0.325 (0.327) Data 0.001 (0.001) Loss 1.9495 (1.7581) Prec@1 52.344 (59.904) Prec@5 77.344 (81.487) Epoch: [57][7490/10010] Time 0.321 (0.327) Data 0.001 (0.001) Loss 1.8131 (1.7580) Prec@1 58.594 (59.904) Prec@5 80.469 (81.487) Epoch: [57][7500/10010] Time 0.323 (0.327) Data 0.001 (0.001) Loss 1.7313 (1.7581) Prec@1 58.594 (59.904) Prec@5 83.594 (81.486) Epoch: [57][7510/10010] Time 0.321 (0.327) Data 0.001 (0.001) Loss 2.0085 (1.7581) Prec@1 53.125 (59.903) Prec@5 74.219 (81.487) Epoch: [57][7520/10010] Time 0.323 (0.327) Data 0.001 (0.001) Loss 1.7825 (1.7580) Prec@1 58.594 (59.903) Prec@5 85.156 (81.487) Epoch: [57][7530/10010] Time 0.332 (0.327) Data 0.000 (0.001) Loss 1.7062 (1.7579) Prec@1 60.156 (59.907) Prec@5 83.594 (81.490) Epoch: [57][7540/10010] Time 0.337 (0.327) Data 0.001 (0.001) Loss 1.9437 (1.7579) Prec@1 57.031 (59.907) Prec@5 78.125 (81.489) Epoch: [57][7550/10010] Time 0.332 (0.327) Data 0.001 (0.001) Loss 1.9870 (1.7578) Prec@1 58.594 (59.909) Prec@5 78.906 (81.490) Epoch: [57][7560/10010] Time 0.312 (0.327) Data 0.001 (0.001) Loss 1.4434 (1.7578) Prec@1 64.844 (59.911) Prec@5 86.719 (81.491) Epoch: [57][7570/10010] Time 0.317 (0.327) Data 0.000 (0.001) Loss 1.6652 (1.7578) Prec@1 60.938 (59.913) Prec@5 84.375 (81.491) Epoch: [57][7580/10010] Time 0.325 (0.327) Data 0.000 (0.001) Loss 1.7599 (1.7579) Prec@1 59.375 (59.913) Prec@5 78.125 (81.489) Epoch: [57][7590/10010] Time 0.318 (0.327) Data 0.001 (0.001) Loss 1.9164 (1.7579) Prec@1 60.938 (59.912) Prec@5 77.344 (81.488) Epoch: [57][7600/10010] Time 0.316 (0.327) Data 0.000 (0.001) Loss 1.7378 (1.7579) Prec@1 60.938 (59.911) Prec@5 85.156 (81.488) Epoch: [57][7610/10010] Time 0.322 (0.327) Data 0.000 (0.001) Loss 1.5491 (1.7580) Prec@1 67.188 (59.909) Prec@5 85.156 (81.488) Epoch: [57][7620/10010] Time 0.336 (0.327) Data 0.001 (0.001) Loss 1.5466 (1.7580) Prec@1 64.062 (59.907) Prec@5 85.156 (81.487) Epoch: [57][7630/10010] Time 0.332 (0.327) Data 0.000 (0.001) Loss 1.8577 (1.7580) Prec@1 58.594 (59.909) Prec@5 81.250 (81.488) Epoch: [57][7640/10010] Time 0.321 (0.327) Data 0.001 (0.001) Loss 1.6350 (1.7581) Prec@1 61.719 (59.908) Prec@5 85.938 (81.487) Epoch: [57][7650/10010] Time 0.320 (0.327) Data 0.000 (0.001) Loss 1.9400 (1.7581) Prec@1 57.812 (59.907) Prec@5 77.344 (81.485) Epoch: [57][7660/10010] Time 0.323 (0.327) Data 0.001 (0.001) Loss 1.9502 (1.7582) Prec@1 60.156 (59.908) Prec@5 76.562 (81.484) Epoch: [57][7670/10010] Time 0.312 (0.327) Data 0.001 (0.001) Loss 1.5070 (1.7581) Prec@1 67.188 (59.910) Prec@5 86.719 (81.486) Epoch: [57][7680/10010] Time 0.319 (0.327) Data 0.001 (0.001) Loss 1.8864 (1.7580) Prec@1 60.156 (59.913) Prec@5 78.906 (81.488) Epoch: [57][7690/10010] Time 0.318 (0.327) Data 0.001 (0.001) Loss 1.9091 (1.7580) Prec@1 57.031 (59.911) Prec@5 77.344 (81.486) Epoch: [57][7700/10010] Time 0.324 (0.327) Data 0.001 (0.001) Loss 1.8009 (1.7580) Prec@1 59.375 (59.909) Prec@5 82.812 (81.486) Epoch: [57][7710/10010] Time 0.319 (0.327) Data 0.001 (0.001) Loss 1.5372 (1.7580) Prec@1 64.844 (59.910) Prec@5 85.156 (81.488) Epoch: [57][7720/10010] Time 0.320 (0.327) Data 0.000 (0.001) Loss 1.7326 (1.7580) Prec@1 58.594 (59.910) Prec@5 83.594 (81.490) Epoch: [57][7730/10010] Time 0.320 (0.327) Data 0.001 (0.001) Loss 2.1259 (1.7581) Prec@1 57.812 (59.910) Prec@5 75.000 (81.488) Epoch: [57][7740/10010] Time 0.331 (0.327) Data 0.001 (0.001) Loss 2.0576 (1.7583) Prec@1 52.344 (59.907) Prec@5 78.906 (81.487) Epoch: [57][7750/10010] Time 0.336 (0.327) Data 0.001 (0.001) Loss 1.7026 (1.7582) Prec@1 61.719 (59.907) Prec@5 83.594 (81.488) Epoch: [57][7760/10010] Time 0.336 (0.327) Data 0.001 (0.001) Loss 1.8889 (1.7582) Prec@1 61.719 (59.908) Prec@5 77.344 (81.489) Epoch: [57][7770/10010] Time 0.326 (0.327) Data 0.001 (0.001) Loss 1.4215 (1.7581) Prec@1 63.281 (59.909) Prec@5 85.156 (81.489) Epoch: [57][7780/10010] Time 0.336 (0.327) Data 0.000 (0.001) Loss 1.7716 (1.7581) Prec@1 57.812 (59.907) Prec@5 78.906 (81.490) Epoch: [57][7790/10010] Time 0.323 (0.327) Data 0.000 (0.001) Loss 1.6662 (1.7582) Prec@1 61.719 (59.906) Prec@5 87.500 (81.488) Epoch: [57][7800/10010] Time 0.325 (0.327) Data 0.001 (0.001) Loss 1.5580 (1.7583) Prec@1 64.844 (59.903) Prec@5 82.812 (81.487) Epoch: [57][7810/10010] Time 0.324 (0.327) Data 0.001 (0.001) Loss 1.8105 (1.7584) Prec@1 58.594 (59.901) Prec@5 81.250 (81.486) Epoch: [57][7820/10010] Time 0.341 (0.327) Data 0.001 (0.001) Loss 1.7743 (1.7584) Prec@1 60.938 (59.901) Prec@5 82.031 (81.484) Epoch: [57][7830/10010] Time 0.315 (0.327) Data 0.001 (0.001) Loss 1.7399 (1.7584) Prec@1 59.375 (59.901) Prec@5 79.688 (81.484) Epoch: [57][7840/10010] Time 0.339 (0.327) Data 0.000 (0.001) Loss 2.0451 (1.7584) Prec@1 53.125 (59.902) Prec@5 77.344 (81.485) Epoch: [57][7850/10010] Time 0.316 (0.327) Data 0.000 (0.001) Loss 1.7151 (1.7583) Prec@1 55.469 (59.904) Prec@5 78.125 (81.484) Epoch: [57][7860/10010] Time 0.319 (0.327) Data 0.001 (0.001) Loss 1.9042 (1.7583) Prec@1 56.250 (59.904) Prec@5 80.469 (81.483) Epoch: [57][7870/10010] Time 0.314 (0.327) Data 0.000 (0.001) Loss 1.7471 (1.7583) Prec@1 55.469 (59.904) Prec@5 79.688 (81.483) Epoch: [57][7880/10010] Time 0.328 (0.327) Data 0.001 (0.001) Loss 1.8000 (1.7584) Prec@1 53.906 (59.902) Prec@5 80.469 (81.483) Epoch: [57][7890/10010] Time 0.333 (0.327) Data 0.000 (0.001) Loss 1.7858 (1.7584) Prec@1 60.938 (59.902) Prec@5 82.031 (81.483) Epoch: [57][7900/10010] Time 0.336 (0.327) Data 0.001 (0.001) Loss 2.0961 (1.7585) Prec@1 54.688 (59.900) Prec@5 75.781 (81.481) Epoch: [57][7910/10010] Time 0.331 (0.327) Data 0.001 (0.001) Loss 1.8050 (1.7584) Prec@1 62.500 (59.902) Prec@5 78.906 (81.483) Epoch: [57][7920/10010] Time 0.315 (0.327) Data 0.001 (0.001) Loss 1.8520 (1.7584) Prec@1 57.031 (59.899) Prec@5 79.688 (81.481) /data/vision/torralba/deepscene/lib/anaconda2/lib/python2.7/site-packages/PIL/TiffImagePlugin.py:692: UserWarning: Possibly corrupt EXIF data. Expecting to read 2555904 bytes but only got 0. Skipping tag 0 "Skipping tag %s" % (size, len(data), tag)) Epoch: [57][7930/10010] Time 0.326 (0.327) Data 0.001 (0.001) Loss 1.8173 (1.7584) Prec@1 57.812 (59.902) Prec@5 82.031 (81.481) Epoch: [57][7940/10010] Time 0.337 (0.327) Data 0.000 (0.001) Loss 1.7651 (1.7584) Prec@1 59.375 (59.903) Prec@5 82.031 (81.481) Epoch: [57][7950/10010] Time 0.334 (0.327) Data 0.001 (0.001) Loss 1.9173 (1.7584) Prec@1 57.031 (59.902) Prec@5 75.000 (81.480) Epoch: [57][7960/10010] Time 0.331 (0.327) Data 0.000 (0.001) Loss 1.8664 (1.7584) Prec@1 58.594 (59.902) Prec@5 81.250 (81.479) Epoch: [57][7970/10010] Time 0.329 (0.327) Data 0.001 (0.001) Loss 1.6181 (1.7584) Prec@1 64.062 (59.902) Prec@5 83.594 (81.479) Epoch: [57][7980/10010] Time 0.331 (0.327) Data 0.001 (0.001) Loss 1.6030 (1.7584) Prec@1 60.156 (59.902) Prec@5 82.031 (81.479) Epoch: [57][7990/10010] Time 0.326 (0.327) Data 0.001 (0.001) Loss 1.9210 (1.7584) Prec@1 57.812 (59.901) Prec@5 78.125 (81.478) Epoch: [57][8000/10010] Time 0.334 (0.327) Data 0.000 (0.001) Loss 1.6534 (1.7583) Prec@1 61.719 (59.903) Prec@5 84.375 (81.479) Epoch: [57][8010/10010] Time 0.317 (0.327) Data 0.001 (0.001) Loss 1.7740 (1.7583) Prec@1 60.156 (59.905) Prec@5 81.250 (81.481) Epoch: [57][8020/10010] Time 0.316 (0.327) Data 0.001 (0.001) Loss 1.5708 (1.7582) Prec@1 64.844 (59.907) Prec@5 84.375 (81.482) Epoch: [57][8030/10010] Time 0.335 (0.327) Data 0.001 (0.001) Loss 1.9220 (1.7582) Prec@1 54.688 (59.907) Prec@5 78.125 (81.481) Epoch: [57][8040/10010] Time 0.319 (0.327) Data 0.000 (0.001) Loss 1.8378 (1.7582) Prec@1 63.281 (59.908) Prec@5 77.344 (81.480) Epoch: [57][8050/10010] Time 0.321 (0.327) Data 0.003 (0.001) Loss 1.8467 (1.7583) Prec@1 59.375 (59.907) Prec@5 78.125 (81.478) Epoch: [57][8060/10010] Time 0.335 (0.327) Data 0.000 (0.001) Loss 1.7672 (1.7583) Prec@1 64.062 (59.907) Prec@5 82.812 (81.479) Epoch: [57][8070/10010] Time 0.322 (0.327) Data 0.000 (0.001) Loss 2.0053 (1.7584) Prec@1 58.594 (59.905) Prec@5 80.469 (81.477) Epoch: [57][8080/10010] Time 0.322 (0.327) Data 0.001 (0.001) Loss 2.1049 (1.7584) Prec@1 51.562 (59.902) Prec@5 75.781 (81.476) Epoch: [57][8090/10010] Time 0.333 (0.327) Data 0.001 (0.001) Loss 1.9046 (1.7585) Prec@1 57.812 (59.900) Prec@5 79.688 (81.474) Epoch: [57][8100/10010] Time 0.341 (0.327) Data 0.000 (0.001) Loss 1.6801 (1.7584) Prec@1 59.375 (59.902) Prec@5 82.812 (81.475) Epoch: [57][8110/10010] Time 0.337 (0.327) Data 0.001 (0.001) Loss 1.8047 (1.7585) Prec@1 59.375 (59.903) Prec@5 82.812 (81.475) Epoch: [57][8120/10010] Time 0.335 (0.327) Data 0.000 (0.001) Loss 2.0787 (1.7587) Prec@1 50.781 (59.898) Prec@5 77.344 (81.473) Epoch: [57][8130/10010] Time 0.330 (0.327) Data 0.001 (0.001) Loss 1.7157 (1.7588) Prec@1 57.031 (59.895) Prec@5 81.250 (81.472) Epoch: [57][8140/10010] Time 0.334 (0.327) Data 0.000 (0.001) Loss 1.8440 (1.7588) Prec@1 57.031 (59.892) Prec@5 78.906 (81.473) Epoch: [57][8150/10010] Time 0.320 (0.327) Data 0.000 (0.001) Loss 1.8863 (1.7588) Prec@1 59.375 (59.892) Prec@5 78.906 (81.471) Epoch: [57][8160/10010] Time 0.342 (0.327) Data 0.001 (0.001) Loss 1.7797 (1.7589) Prec@1 61.719 (59.892) Prec@5 83.594 (81.471) Epoch: [57][8170/10010] Time 0.321 (0.327) Data 0.000 (0.001) Loss 1.4182 (1.7588) Prec@1 66.406 (59.893) Prec@5 85.156 (81.470) Epoch: [57][8180/10010] Time 0.316 (0.327) Data 0.001 (0.001) Loss 1.5556 (1.7588) Prec@1 64.062 (59.892) Prec@5 85.156 (81.470) Epoch: [57][8190/10010] Time 0.318 (0.327) Data 0.000 (0.001) Loss 1.6722 (1.7589) Prec@1 60.156 (59.889) Prec@5 83.594 (81.470) Epoch: [57][8200/10010] Time 0.343 (0.327) Data 0.000 (0.001) Loss 1.6455 (1.7589) Prec@1 64.062 (59.890) Prec@5 81.250 (81.471) Epoch: [57][8210/10010] Time 0.334 (0.327) Data 0.001 (0.001) Loss 1.7628 (1.7589) Prec@1 63.281 (59.891) Prec@5 79.688 (81.471) Epoch: [57][8220/10010] Time 0.331 (0.327) Data 0.001 (0.001) Loss 1.7530 (1.7589) Prec@1 67.188 (59.891) Prec@5 79.688 (81.472) Epoch: [57][8230/10010] Time 0.322 (0.327) Data 0.001 (0.001) Loss 1.6041 (1.7588) Prec@1 67.188 (59.892) Prec@5 85.156 (81.473) Epoch: [57][8240/10010] Time 0.326 (0.327) Data 0.000 (0.001) Loss 2.0803 (1.7590) Prec@1 53.125 (59.890) Prec@5 77.344 (81.472) Epoch: [57][8250/10010] Time 0.313 (0.327) Data 0.001 (0.001) Loss 1.5307 (1.7589) Prec@1 63.281 (59.891) Prec@5 83.594 (81.473) Epoch: [57][8260/10010] Time 0.322 (0.327) Data 0.001 (0.001) Loss 2.0016 (1.7589) Prec@1 57.031 (59.892) Prec@5 78.906 (81.473) Epoch: [57][8270/10010] Time 0.334 (0.327) Data 0.000 (0.001) Loss 1.8559 (1.7589) Prec@1 55.469 (59.890) Prec@5 79.688 (81.473) Epoch: [57][8280/10010] Time 0.336 (0.327) Data 0.001 (0.001) Loss 1.4605 (1.7589) Prec@1 62.500 (59.890) Prec@5 88.281 (81.473) Epoch: [57][8290/10010] Time 0.323 (0.327) Data 0.001 (0.001) Loss 1.6627 (1.7589) Prec@1 64.062 (59.891) Prec@5 83.594 (81.474) Epoch: [57][8300/10010] Time 0.316 (0.327) Data 0.001 (0.001) Loss 1.8637 (1.7590) Prec@1 57.031 (59.889) Prec@5 80.469 (81.474) Epoch: [57][8310/10010] Time 0.329 (0.327) Data 0.001 (0.001) Loss 1.7060 (1.7590) Prec@1 53.906 (59.887) Prec@5 82.031 (81.473) Epoch: [57][8320/10010] Time 0.331 (0.327) Data 0.001 (0.001) Loss 1.8333 (1.7590) Prec@1 58.594 (59.887) Prec@5 82.031 (81.474) Epoch: [57][8330/10010] Time 0.334 (0.327) Data 0.001 (0.001) Loss 1.8684 (1.7590) Prec@1 58.594 (59.888) Prec@5 78.125 (81.475) Epoch: [57][8340/10010] Time 0.324 (0.327) Data 0.001 (0.001) Loss 1.6371 (1.7590) Prec@1 64.844 (59.889) Prec@5 83.594 (81.473) Epoch: [57][8350/10010] Time 0.315 (0.327) Data 0.001 (0.001) Loss 1.3786 (1.7590) Prec@1 67.188 (59.889) Prec@5 89.062 (81.472) Epoch: [57][8360/10010] Time 0.320 (0.327) Data 0.001 (0.001) Loss 1.7981 (1.7591) Prec@1 62.500 (59.887) Prec@5 78.906 (81.471) Epoch: [57][8370/10010] Time 0.318 (0.327) Data 0.001 (0.001) Loss 1.7643 (1.7592) Prec@1 62.500 (59.886) Prec@5 85.156 (81.471) Epoch: [57][8380/10010] Time 0.317 (0.327) Data 0.001 (0.001) Loss 1.4313 (1.7592) Prec@1 68.750 (59.885) Prec@5 87.500 (81.470) Epoch: [57][8390/10010] Time 0.320 (0.327) Data 0.001 (0.001) Loss 1.5350 (1.7591) Prec@1 62.500 (59.887) Prec@5 82.812 (81.471) Epoch: [57][8400/10010] Time 0.334 (0.327) Data 0.001 (0.001) Loss 1.6343 (1.7592) Prec@1 61.719 (59.888) Prec@5 83.594 (81.470) Epoch: [57][8410/10010] Time 0.325 (0.327) Data 0.001 (0.001) Loss 1.7995 (1.7591) Prec@1 60.156 (59.888) Prec@5 79.688 (81.471) Epoch: [57][8420/10010] Time 0.315 (0.327) Data 0.001 (0.001) Loss 1.6704 (1.7591) Prec@1 57.812 (59.887) Prec@5 84.375 (81.470) Epoch: [57][8430/10010] Time 0.315 (0.327) Data 0.001 (0.001) Loss 1.6355 (1.7591) Prec@1 59.375 (59.886) Prec@5 82.812 (81.470) Epoch: [57][8440/10010] Time 0.318 (0.327) Data 0.001 (0.001) Loss 1.6893 (1.7591) Prec@1 65.625 (59.888) Prec@5 82.031 (81.469) Epoch: [57][8450/10010] Time 0.337 (0.327) Data 0.001 (0.001) Loss 1.7206 (1.7591) Prec@1 57.031 (59.888) Prec@5 81.250 (81.469) Epoch: [57][8460/10010] Time 0.335 (0.327) Data 0.000 (0.001) Loss 1.8752 (1.7591) Prec@1 60.938 (59.888) Prec@5 79.688 (81.468) Epoch: [57][8470/10010] Time 0.341 (0.327) Data 0.001 (0.001) Loss 1.7257 (1.7591) Prec@1 58.594 (59.887) Prec@5 83.594 (81.467) Epoch: [57][8480/10010] Time 0.333 (0.327) Data 0.001 (0.001) Loss 1.8550 (1.7592) Prec@1 52.344 (59.884) Prec@5 79.688 (81.466) Epoch: [57][8490/10010] Time 0.313 (0.327) Data 0.001 (0.001) Loss 1.8922 (1.7592) Prec@1 53.125 (59.883) Prec@5 81.250 (81.467) Epoch: [57][8500/10010] Time 0.328 (0.327) Data 0.000 (0.001) Loss 1.8543 (1.7592) Prec@1 57.812 (59.882) Prec@5 77.344 (81.466) Epoch: [57][8510/10010] Time 0.332 (0.327) Data 0.001 (0.001) Loss 1.9355 (1.7593) Prec@1 57.812 (59.880) Prec@5 75.781 (81.465) Epoch: [57][8520/10010] Time 0.326 (0.327) Data 0.000 (0.001) Loss 2.2345 (1.7595) Prec@1 52.344 (59.878) Prec@5 75.781 (81.463) Epoch: [57][8530/10010] Time 0.337 (0.327) Data 0.001 (0.001) Loss 1.6791 (1.7594) Prec@1 58.594 (59.880) Prec@5 82.812 (81.465) Epoch: [57][8540/10010] Time 0.320 (0.327) Data 0.001 (0.001) Loss 1.5682 (1.7594) Prec@1 67.188 (59.882) Prec@5 85.156 (81.464) Epoch: [57][8550/10010] Time 0.334 (0.327) Data 0.001 (0.001) Loss 1.9844 (1.7594) Prec@1 60.156 (59.880) Prec@5 75.781 (81.464) Epoch: [57][8560/10010] Time 0.331 (0.327) Data 0.001 (0.001) Loss 1.6365 (1.7594) Prec@1 61.719 (59.880) Prec@5 82.812 (81.464) Epoch: [57][8570/10010] Time 0.337 (0.327) Data 0.001 (0.001) Loss 1.7936 (1.7595) Prec@1 57.812 (59.877) Prec@5 82.031 (81.462) Epoch: [57][8580/10010] Time 0.329 (0.327) Data 0.001 (0.001) Loss 1.6476 (1.7595) Prec@1 59.375 (59.879) Prec@5 85.938 (81.463) Epoch: [57][8590/10010] Time 0.326 (0.327) Data 0.000 (0.001) Loss 1.5247 (1.7595) Prec@1 66.406 (59.880) Prec@5 82.812 (81.465) Epoch: [57][8600/10010] Time 0.329 (0.327) Data 0.001 (0.001) Loss 1.9211 (1.7595) Prec@1 60.156 (59.881) Prec@5 80.469 (81.465) Epoch: [57][8610/10010] Time 0.342 (0.327) Data 0.001 (0.001) Loss 1.6439 (1.7595) Prec@1 62.500 (59.881) Prec@5 85.938 (81.465) Epoch: [57][8620/10010] Time 0.326 (0.327) Data 0.000 (0.001) Loss 1.5761 (1.7595) Prec@1 63.281 (59.881) Prec@5 82.812 (81.466) Epoch: [57][8630/10010] Time 0.323 (0.327) Data 0.000 (0.001) Loss 1.4395 (1.7595) Prec@1 68.750 (59.882) Prec@5 87.500 (81.465) Epoch: [57][8640/10010] Time 0.323 (0.327) Data 0.001 (0.001) Loss 2.0358 (1.7595) Prec@1 55.469 (59.880) Prec@5 77.344 (81.465) Epoch: [57][8650/10010] Time 0.321 (0.327) Data 0.001 (0.001) Loss 2.0464 (1.7596) Prec@1 55.469 (59.880) Prec@5 78.906 (81.464) Epoch: [57][8660/10010] Time 0.322 (0.327) Data 0.001 (0.001) Loss 1.8915 (1.7597) Prec@1 59.375 (59.880) Prec@5 77.344 (81.462) Epoch: [57][8670/10010] Time 0.319 (0.327) Data 0.000 (0.001) Loss 1.9083 (1.7598) Prec@1 56.250 (59.876) Prec@5 77.344 (81.460) Epoch: [57][8680/10010] Time 0.319 (0.327) Data 0.001 (0.001) Loss 1.8493 (1.7598) Prec@1 59.375 (59.875) Prec@5 79.688 (81.459) Epoch: [57][8690/10010] Time 0.335 (0.327) Data 0.000 (0.001) Loss 1.8031 (1.7597) Prec@1 61.719 (59.878) Prec@5 83.594 (81.462) Epoch: [57][8700/10010] Time 0.316 (0.327) Data 0.001 (0.001) Loss 1.8044 (1.7598) Prec@1 64.844 (59.875) Prec@5 77.344 (81.458) Epoch: [57][8710/10010] Time 0.320 (0.327) Data 0.000 (0.001) Loss 1.5777 (1.7597) Prec@1 64.844 (59.877) Prec@5 87.500 (81.461) Epoch: [57][8720/10010] Time 0.316 (0.327) Data 0.001 (0.001) Loss 1.5821 (1.7596) Prec@1 63.281 (59.879) Prec@5 83.594 (81.463) Epoch: [57][8730/10010] Time 0.345 (0.327) Data 0.000 (0.001) Loss 1.8740 (1.7596) Prec@1 57.812 (59.877) Prec@5 80.469 (81.464) Epoch: [57][8740/10010] Time 0.314 (0.327) Data 0.001 (0.001) Loss 1.7998 (1.7596) Prec@1 60.938 (59.878) Prec@5 80.469 (81.465) Epoch: [57][8750/10010] Time 0.329 (0.327) Data 0.001 (0.001) Loss 1.8633 (1.7597) Prec@1 62.500 (59.874) Prec@5 79.688 (81.461) Epoch: [57][8760/10010] Time 0.334 (0.327) Data 0.001 (0.001) Loss 1.5187 (1.7597) Prec@1 60.938 (59.876) Prec@5 85.938 (81.462) Epoch: [57][8770/10010] Time 0.313 (0.327) Data 0.001 (0.001) Loss 2.0288 (1.7597) Prec@1 53.125 (59.873) Prec@5 74.219 (81.461) Epoch: [57][8780/10010] Time 0.312 (0.327) Data 0.001 (0.001) Loss 1.6663 (1.7597) Prec@1 60.938 (59.874) Prec@5 85.156 (81.461) Epoch: [57][8790/10010] Time 0.328 (0.327) Data 0.000 (0.001) Loss 1.9632 (1.7598) Prec@1 59.375 (59.874) Prec@5 78.906 (81.460) Epoch: [57][8800/10010] Time 0.331 (0.327) Data 0.001 (0.001) Loss 1.8271 (1.7598) Prec@1 61.719 (59.874) Prec@5 79.688 (81.461) Epoch: [57][8810/10010] Time 0.328 (0.327) Data 0.000 (0.001) Loss 1.7505 (1.7598) Prec@1 57.031 (59.873) Prec@5 80.469 (81.460) Epoch: [57][8820/10010] Time 0.309 (0.327) Data 0.001 (0.001) Loss 1.8909 (1.7597) Prec@1 59.375 (59.873) Prec@5 75.781 (81.459) Epoch: [57][8830/10010] Time 0.329 (0.327) Data 0.001 (0.001) Loss 1.8690 (1.7598) Prec@1 60.156 (59.872) Prec@5 80.469 (81.459) Epoch: [57][8840/10010] Time 0.327 (0.327) Data 0.001 (0.001) Loss 1.9029 (1.7598) Prec@1 61.719 (59.872) Prec@5 78.125 (81.460) Epoch: [57][8850/10010] Time 0.312 (0.327) Data 0.001 (0.001) Loss 1.7271 (1.7599) Prec@1 55.469 (59.870) Prec@5 81.250 (81.459) Epoch: [57][8860/10010] Time 0.319 (0.327) Data 0.001 (0.001) Loss 2.0212 (1.7599) Prec@1 54.688 (59.868) Prec@5 78.125 (81.459) Epoch: [57][8870/10010] Time 0.335 (0.327) Data 0.000 (0.001) Loss 1.6776 (1.7599) Prec@1 60.938 (59.869) Prec@5 80.469 (81.460) Epoch: [57][8880/10010] Time 0.318 (0.327) Data 0.001 (0.001) Loss 1.9537 (1.7600) Prec@1 57.031 (59.864) Prec@5 78.906 (81.458) Epoch: [57][8890/10010] Time 0.320 (0.327) Data 0.000 (0.001) Loss 1.7652 (1.7601) Prec@1 57.031 (59.863) Prec@5 80.469 (81.457) Epoch: [57][8900/10010] Time 0.340 (0.327) Data 0.000 (0.001) Loss 1.7894 (1.7601) Prec@1 57.031 (59.862) Prec@5 82.031 (81.457) Epoch: [57][8910/10010] Time 0.315 (0.327) Data 0.000 (0.001) Loss 1.2195 (1.7600) Prec@1 69.531 (59.864) Prec@5 88.281 (81.457) Epoch: [57][8920/10010] Time 0.317 (0.327) Data 0.000 (0.001) Loss 1.6111 (1.7601) Prec@1 64.062 (59.863) Prec@5 82.812 (81.457) Epoch: [57][8930/10010] Time 0.322 (0.327) Data 0.001 (0.001) Loss 1.7376 (1.7601) Prec@1 62.500 (59.864) Prec@5 82.031 (81.456) Epoch: [57][8940/10010] Time 0.320 (0.327) Data 0.001 (0.001) Loss 1.6384 (1.7601) Prec@1 60.156 (59.862) Prec@5 84.375 (81.456) Epoch: [57][8950/10010] Time 0.324 (0.327) Data 0.001 (0.001) Loss 1.5649 (1.7600) Prec@1 57.031 (59.862) Prec@5 83.594 (81.457) Epoch: [57][8960/10010] Time 0.335 (0.327) Data 0.001 (0.001) Loss 2.1359 (1.7601) Prec@1 57.031 (59.863) Prec@5 80.469 (81.457) Epoch: [57][8970/10010] Time 0.333 (0.327) Data 0.000 (0.001) Loss 1.6668 (1.7600) Prec@1 60.156 (59.865) Prec@5 80.469 (81.456) Epoch: [57][8980/10010] Time 0.321 (0.327) Data 0.001 (0.001) Loss 1.7159 (1.7602) Prec@1 62.500 (59.862) Prec@5 82.812 (81.455) Epoch: [57][8990/10010] Time 0.336 (0.327) Data 0.000 (0.001) Loss 1.8650 (1.7602) Prec@1 60.156 (59.864) Prec@5 82.031 (81.456) Epoch: [57][9000/10010] Time 0.325 (0.327) Data 0.000 (0.001) Loss 1.8334 (1.7602) Prec@1 56.250 (59.863) Prec@5 84.375 (81.457) Epoch: [57][9010/10010] Time 0.322 (0.327) Data 0.001 (0.001) Loss 2.0012 (1.7603) Prec@1 56.250 (59.862) Prec@5 78.906 (81.454) Epoch: [57][9020/10010] Time 0.314 (0.327) Data 0.001 (0.001) Loss 1.9672 (1.7604) Prec@1 52.344 (59.858) Prec@5 78.906 (81.452) Epoch: [57][9030/10010] Time 0.337 (0.327) Data 0.001 (0.001) Loss 1.6639 (1.7605) Prec@1 68.750 (59.857) Prec@5 84.375 (81.451) Epoch: [57][9040/10010] Time 0.339 (0.327) Data 0.001 (0.001) Loss 1.9679 (1.7603) Prec@1 61.719 (59.861) Prec@5 80.469 (81.453) Epoch: [57][9050/10010] Time 0.336 (0.327) Data 0.000 (0.001) Loss 2.0309 (1.7604) Prec@1 52.344 (59.859) Prec@5 78.125 (81.453) Epoch: [57][9060/10010] Time 0.333 (0.327) Data 0.001 (0.001) Loss 1.5914 (1.7604) Prec@1 64.062 (59.859) Prec@5 87.500 (81.454) Epoch: [57][9070/10010] Time 0.329 (0.327) Data 0.001 (0.001) Loss 1.5906 (1.7604) Prec@1 59.375 (59.858) Prec@5 84.375 (81.454) Epoch: [57][9080/10010] Time 0.338 (0.327) Data 0.000 (0.001) Loss 2.0253 (1.7606) Prec@1 51.562 (59.855) Prec@5 78.906 (81.452) Epoch: [57][9090/10010] Time 0.332 (0.327) Data 0.001 (0.001) Loss 1.8594 (1.7605) Prec@1 59.375 (59.856) Prec@5 79.688 (81.451) Epoch: [57][9100/10010] Time 0.325 (0.327) Data 0.001 (0.001) Loss 1.9910 (1.7606) Prec@1 56.250 (59.857) Prec@5 78.125 (81.450) Epoch: [57][9110/10010] Time 0.320 (0.327) Data 0.000 (0.001) Loss 1.6429 (1.7606) Prec@1 61.719 (59.857) Prec@5 82.812 (81.449) Epoch: [57][9120/10010] Time 0.317 (0.327) Data 0.001 (0.001) Loss 2.1592 (1.7607) Prec@1 59.375 (59.858) Prec@5 75.000 (81.447) Epoch: [57][9130/10010] Time 0.333 (0.327) Data 0.001 (0.001) Loss 1.7589 (1.7606) Prec@1 60.938 (59.859) Prec@5 80.469 (81.450) Epoch: [57][9140/10010] Time 0.325 (0.327) Data 0.000 (0.001) Loss 1.7339 (1.7607) Prec@1 60.938 (59.857) Prec@5 78.906 (81.450) Epoch: [57][9150/10010] Time 0.335 (0.327) Data 0.001 (0.001) Loss 1.7411 (1.7607) Prec@1 60.156 (59.855) Prec@5 81.250 (81.449) Epoch: [57][9160/10010] Time 0.324 (0.327) Data 0.001 (0.001) Loss 1.7234 (1.7607) Prec@1 64.062 (59.856) Prec@5 84.375 (81.449) Epoch: [57][9170/10010] Time 0.318 (0.327) Data 0.001 (0.001) Loss 1.9598 (1.7609) Prec@1 55.469 (59.853) Prec@5 76.562 (81.446) Epoch: [57][9180/10010] Time 0.323 (0.327) Data 0.000 (0.001) Loss 1.3989 (1.7609) Prec@1 61.719 (59.853) Prec@5 89.844 (81.447) Epoch: [57][9190/10010] Time 0.318 (0.327) Data 0.001 (0.001) Loss 1.7585 (1.7610) Prec@1 57.812 (59.849) Prec@5 81.250 (81.445) Epoch: [57][9200/10010] Time 0.333 (0.327) Data 0.001 (0.001) Loss 1.5746 (1.7609) Prec@1 62.500 (59.851) Prec@5 83.594 (81.446) Epoch: [57][9210/10010] Time 0.323 (0.327) Data 0.001 (0.001) Loss 1.8687 (1.7609) Prec@1 56.250 (59.851) Prec@5 80.469 (81.447) Epoch: [57][9220/10010] Time 0.314 (0.327) Data 0.001 (0.001) Loss 1.5876 (1.7609) Prec@1 65.625 (59.849) Prec@5 82.031 (81.445) Epoch: [57][9230/10010] Time 0.313 (0.327) Data 0.001 (0.001) Loss 1.6591 (1.7609) Prec@1 58.594 (59.849) Prec@5 82.031 (81.444) Epoch: [57][9240/10010] Time 0.309 (0.327) Data 0.001 (0.001) Loss 2.0323 (1.7610) Prec@1 51.562 (59.847) Prec@5 78.125 (81.444) Epoch: [57][9250/10010] Time 0.316 (0.327) Data 0.001 (0.001) Loss 1.6416 (1.7609) Prec@1 60.938 (59.847) Prec@5 84.375 (81.444) Epoch: [57][9260/10010] Time 0.329 (0.327) Data 0.001 (0.001) Loss 1.9393 (1.7610) Prec@1 54.688 (59.845) Prec@5 78.906 (81.442) Epoch: [57][9270/10010] Time 0.323 (0.327) Data 0.001 (0.001) Loss 1.3872 (1.7610) Prec@1 64.062 (59.845) Prec@5 88.281 (81.443) Epoch: [57][9280/10010] Time 0.329 (0.327) Data 0.001 (0.001) Loss 2.1437 (1.7611) Prec@1 53.125 (59.843) Prec@5 74.219 (81.441) Epoch: [57][9290/10010] Time 0.336 (0.327) Data 0.001 (0.001) Loss 1.9779 (1.7611) Prec@1 54.688 (59.842) Prec@5 81.250 (81.441) Epoch: [57][9300/10010] Time 0.336 (0.327) Data 0.000 (0.001) Loss 1.8558 (1.7611) Prec@1 59.375 (59.841) Prec@5 81.250 (81.441) Epoch: [57][9310/10010] Time 0.334 (0.327) Data 0.001 (0.001) Loss 1.5939 (1.7611) Prec@1 58.594 (59.841) Prec@5 85.938 (81.442) Epoch: [57][9320/10010] Time 0.334 (0.327) Data 0.001 (0.001) Loss 1.9526 (1.7612) Prec@1 61.719 (59.840) Prec@5 75.000 (81.440) Epoch: [57][9330/10010] Time 0.339 (0.327) Data 0.001 (0.001) Loss 1.5941 (1.7611) Prec@1 66.406 (59.841) Prec@5 85.156 (81.442) Epoch: [57][9340/10010] Time 0.320 (0.327) Data 0.000 (0.001) Loss 1.7419 (1.7610) Prec@1 64.844 (59.843) Prec@5 82.812 (81.443) Epoch: [57][9350/10010] Time 0.334 (0.327) Data 0.001 (0.001) Loss 1.4957 (1.7610) Prec@1 60.156 (59.843) Prec@5 84.375 (81.443) Epoch: [57][9360/10010] Time 0.339 (0.327) Data 0.001 (0.001) Loss 1.7281 (1.7611) Prec@1 67.188 (59.844) Prec@5 79.688 (81.441) Epoch: [57][9370/10010] Time 0.321 (0.327) Data 0.001 (0.001) Loss 2.1628 (1.7611) Prec@1 55.469 (59.845) Prec@5 74.219 (81.440) Epoch: [57][9380/10010] Time 0.341 (0.327) Data 0.000 (0.001) Loss 2.0202 (1.7611) Prec@1 52.344 (59.841) Prec@5 75.781 (81.439) Epoch: [57][9390/10010] Time 0.316 (0.327) Data 0.000 (0.001) Loss 1.7490 (1.7610) Prec@1 62.500 (59.843) Prec@5 82.031 (81.440) Epoch: [57][9400/10010] Time 0.321 (0.327) Data 0.001 (0.001) Loss 1.7298 (1.7610) Prec@1 56.250 (59.845) Prec@5 82.812 (81.442) Epoch: [57][9410/10010] Time 0.336 (0.327) Data 0.001 (0.001) Loss 1.5136 (1.7610) Prec@1 60.156 (59.843) Prec@5 88.281 (81.441) Epoch: [57][9420/10010] Time 0.333 (0.327) Data 0.000 (0.001) Loss 1.8391 (1.7610) Prec@1 57.031 (59.842) Prec@5 80.469 (81.441) Epoch: [57][9430/10010] Time 0.317 (0.327) Data 0.001 (0.001) Loss 1.8696 (1.7610) Prec@1 60.156 (59.843) Prec@5 75.781 (81.442) Epoch: [57][9440/10010] Time 0.340 (0.327) Data 0.001 (0.001) Loss 2.1132 (1.7610) Prec@1 57.031 (59.845) Prec@5 77.344 (81.443) /data/vision/torralba/deepscene/lib/anaconda2/lib/python2.7/site-packages/PIL/TiffImagePlugin.py:692: UserWarning: Possibly corrupt EXIF data. Expecting to read 2555904 bytes but only got 0. Skipping tag 0 "Skipping tag %s" % (size, len(data), tag)) Epoch: [57][9450/10010] Time 0.318 (0.327) Data 0.001 (0.001) Loss 1.8145 (1.7611) Prec@1 60.156 (59.841) Prec@5 78.125 (81.440) Epoch: [57][9460/10010] Time 0.330 (0.327) Data 0.001 (0.001) Loss 1.9642 (1.7612) Prec@1 49.219 (59.840) Prec@5 78.906 (81.441) Epoch: [57][9470/10010] Time 0.317 (0.327) Data 0.001 (0.001) Loss 1.6214 (1.7612) Prec@1 59.375 (59.838) Prec@5 81.250 (81.441) Epoch: [57][9480/10010] Time 0.309 (0.327) Data 0.001 (0.001) Loss 1.7640 (1.7613) Prec@1 61.719 (59.836) Prec@5 78.125 (81.440) Epoch: [57][9490/10010] Time 0.318 (0.327) Data 0.001 (0.001) Loss 1.8343 (1.7613) Prec@1 58.594 (59.836) Prec@5 83.594 (81.437) Epoch: [57][9500/10010] Time 0.329 (0.327) Data 0.001 (0.001) Loss 1.7938 (1.7613) Prec@1 58.594 (59.837) Prec@5 81.250 (81.437) Epoch: [57][9510/10010] Time 0.328 (0.327) Data 0.000 (0.001) Loss 1.7045 (1.7614) Prec@1 60.938 (59.834) Prec@5 80.469 (81.435) Epoch: [57][9520/10010] Time 0.325 (0.327) Data 0.001 (0.001) Loss 1.7098 (1.7614) Prec@1 60.938 (59.834) Prec@5 82.031 (81.435) Epoch: [57][9530/10010] Time 0.342 (0.327) Data 0.001 (0.001) Loss 1.7158 (1.7614) Prec@1 62.500 (59.836) Prec@5 78.906 (81.435) Epoch: [57][9540/10010] Time 0.321 (0.327) Data 0.001 (0.001) Loss 2.0255 (1.7614) Prec@1 55.469 (59.835) Prec@5 78.906 (81.436) Epoch: [57][9550/10010] Time 0.320 (0.327) Data 0.001 (0.001) Loss 1.7415 (1.7614) Prec@1 55.469 (59.832) Prec@5 82.812 (81.435) Epoch: [57][9560/10010] Time 0.320 (0.327) Data 0.001 (0.001) Loss 1.6843 (1.7615) Prec@1 61.719 (59.831) Prec@5 81.250 (81.435) Epoch: [57][9570/10010] Time 0.328 (0.327) Data 0.001 (0.001) Loss 2.0157 (1.7615) Prec@1 49.219 (59.829) Prec@5 78.125 (81.434) Epoch: [57][9580/10010] Time 0.335 (0.327) Data 0.001 (0.001) Loss 1.9142 (1.7615) Prec@1 58.594 (59.829) Prec@5 77.344 (81.434) Epoch: [57][9590/10010] Time 0.341 (0.327) Data 0.000 (0.001) Loss 1.5409 (1.7615) Prec@1 66.406 (59.831) Prec@5 86.719 (81.435) Epoch: [57][9600/10010] Time 0.325 (0.327) Data 0.001 (0.001) Loss 1.7764 (1.7615) Prec@1 58.594 (59.830) Prec@5 81.250 (81.437) Epoch: [57][9610/10010] Time 0.328 (0.327) Data 0.001 (0.001) Loss 1.4170 (1.7614) Prec@1 67.188 (59.832) Prec@5 88.281 (81.438) Epoch: [57][9620/10010] Time 0.315 (0.327) Data 0.001 (0.001) Loss 1.6093 (1.7614) Prec@1 64.062 (59.832) Prec@5 82.031 (81.439) Epoch: [57][9630/10010] Time 0.325 (0.327) Data 0.000 (0.001) Loss 1.6098 (1.7614) Prec@1 64.844 (59.832) Prec@5 82.031 (81.439) Epoch: [57][9640/10010] Time 0.310 (0.327) Data 0.001 (0.001) Loss 1.7716 (1.7614) Prec@1 57.031 (59.831) Prec@5 82.812 (81.438) Epoch: [57][9650/10010] Time 0.340 (0.327) Data 0.001 (0.001) Loss 1.5541 (1.7615) Prec@1 64.062 (59.829) Prec@5 82.812 (81.437) Epoch: [57][9660/10010] Time 0.315 (0.327) Data 0.001 (0.001) Loss 1.8908 (1.7617) Prec@1 60.156 (59.825) Prec@5 82.812 (81.435) Epoch: [57][9670/10010] Time 0.329 (0.327) Data 0.001 (0.001) Loss 1.6470 (1.7617) Prec@1 60.938 (59.826) Prec@5 83.594 (81.435) Epoch: [57][9680/10010] Time 0.311 (0.327) Data 0.001 (0.001) Loss 1.6428 (1.7618) Prec@1 64.062 (59.822) Prec@5 82.812 (81.431) Epoch: [57][9690/10010] Time 0.328 (0.327) Data 0.001 (0.001) Loss 1.9301 (1.7617) Prec@1 57.031 (59.823) Prec@5 79.688 (81.433) Epoch: [57][9700/10010] Time 0.335 (0.327) Data 0.001 (0.001) Loss 1.8191 (1.7618) Prec@1 60.156 (59.822) Prec@5 75.781 (81.430) Epoch: [57][9710/10010] Time 0.328 (0.327) Data 0.000 (0.001) Loss 1.8364 (1.7618) Prec@1 53.906 (59.822) Prec@5 78.125 (81.430) Epoch: [57][9720/10010] Time 0.317 (0.327) Data 0.001 (0.001) Loss 1.6922 (1.7619) Prec@1 57.812 (59.821) Prec@5 83.594 (81.430) Epoch: [57][9730/10010] Time 0.314 (0.327) Data 0.001 (0.001) Loss 2.0187 (1.7619) Prec@1 53.125 (59.821) Prec@5 78.125 (81.430) Epoch: [57][9740/10010] Time 0.337 (0.327) Data 0.001 (0.001) Loss 1.7698 (1.7619) Prec@1 59.375 (59.820) Prec@5 76.562 (81.429) Epoch: [57][9750/10010] Time 0.335 (0.327) Data 0.001 (0.001) Loss 2.1638 (1.7621) Prec@1 49.219 (59.815) Prec@5 74.219 (81.427) Epoch: [57][9760/10010] Time 0.317 (0.327) Data 0.000 (0.001) Loss 1.7883 (1.7620) Prec@1 62.500 (59.816) Prec@5 78.125 (81.428) Epoch: [57][9770/10010] Time 0.334 (0.327) Data 0.001 (0.001) Loss 1.7765 (1.7621) Prec@1 55.469 (59.816) Prec@5 83.594 (81.427) Epoch: [57][9780/10010] Time 0.327 (0.327) Data 0.000 (0.001) Loss 1.7737 (1.7622) Prec@1 57.812 (59.814) Prec@5 81.250 (81.425) Epoch: [57][9790/10010] Time 0.316 (0.327) Data 0.001 (0.001) Loss 1.8462 (1.7623) Prec@1 61.719 (59.814) Prec@5 82.031 (81.425) Epoch: [57][9800/10010] Time 0.328 (0.327) Data 0.001 (0.001) Loss 1.7760 (1.7623) Prec@1 59.375 (59.815) Prec@5 80.469 (81.424) Epoch: [57][9810/10010] Time 0.337 (0.327) Data 0.001 (0.001) Loss 2.0047 (1.7624) Prec@1 52.344 (59.814) Prec@5 75.781 (81.423) Epoch: [57][9820/10010] Time 0.333 (0.327) Data 0.000 (0.001) Loss 2.0325 (1.7625) Prec@1 56.250 (59.814) Prec@5 78.125 (81.422) Epoch: [57][9830/10010] Time 0.331 (0.327) Data 0.001 (0.001) Loss 1.6725 (1.7624) Prec@1 54.688 (59.815) Prec@5 82.812 (81.424) Epoch: [57][9840/10010] Time 0.331 (0.327) Data 0.000 (0.001) Loss 1.9634 (1.7624) Prec@1 57.031 (59.816) Prec@5 77.344 (81.424) Epoch: [57][9850/10010] Time 0.334 (0.327) Data 0.001 (0.001) Loss 1.5981 (1.7624) Prec@1 63.281 (59.815) Prec@5 84.375 (81.423) Epoch: [57][9860/10010] Time 0.333 (0.327) Data 0.000 (0.001) Loss 1.7441 (1.7625) Prec@1 63.281 (59.813) Prec@5 81.250 (81.422) Epoch: [57][9870/10010] Time 0.327 (0.327) Data 0.001 (0.001) Loss 1.8599 (1.7625) Prec@1 59.375 (59.814) Prec@5 79.688 (81.422) Epoch: [57][9880/10010] Time 0.322 (0.327) Data 0.001 (0.001) Loss 1.6999 (1.7626) Prec@1 64.844 (59.814) Prec@5 84.375 (81.422) Epoch: [57][9890/10010] Time 0.319 (0.327) Data 0.001 (0.001) Loss 1.6673 (1.7626) Prec@1 63.281 (59.813) Prec@5 80.469 (81.421) Epoch: [57][9900/10010] Time 0.332 (0.327) Data 0.001 (0.001) Loss 1.7404 (1.7626) Prec@1 60.938 (59.813) Prec@5 85.938 (81.421) Epoch: [57][9910/10010] Time 0.333 (0.327) Data 0.000 (0.001) Loss 1.6292 (1.7627) Prec@1 60.938 (59.811) Prec@5 85.938 (81.419) Epoch: [57][9920/10010] Time 0.314 (0.327) Data 0.001 (0.001) Loss 2.0138 (1.7626) Prec@1 51.562 (59.812) Prec@5 75.781 (81.420) Epoch: [57][9930/10010] Time 0.317 (0.327) Data 0.001 (0.001) Loss 1.9692 (1.7627) Prec@1 56.250 (59.810) Prec@5 78.125 (81.420) Epoch: [57][9940/10010] Time 0.327 (0.327) Data 0.001 (0.001) Loss 2.0446 (1.7627) Prec@1 59.375 (59.809) Prec@5 76.562 (81.420) Epoch: [57][9950/10010] Time 0.329 (0.327) Data 0.001 (0.001) Loss 1.8900 (1.7626) Prec@1 58.594 (59.810) Prec@5 76.562 (81.420) Epoch: [57][9960/10010] Time 0.325 (0.327) Data 0.001 (0.001) Loss 1.6491 (1.7625) Prec@1 59.375 (59.812) Prec@5 81.250 (81.419) Epoch: [57][9970/10010] Time 0.320 (0.327) Data 0.001 (0.001) Loss 2.0263 (1.7625) Prec@1 55.469 (59.812) Prec@5 77.344 (81.420) Epoch: [57][9980/10010] Time 0.318 (0.327) Data 0.001 (0.001) Loss 1.4567 (1.7626) Prec@1 67.188 (59.811) Prec@5 85.156 (81.418) Epoch: [57][9990/10010] Time 0.322 (0.327) Data 0.001 (0.001) Loss 2.0185 (1.7626) Prec@1 57.031 (59.811) Prec@5 80.469 (81.417) Epoch: [57][10000/10010] Time 0.319 (0.327) Data 0.000 (0.001) Loss 1.8353 (1.7627) Prec@1 55.469 (59.809) Prec@5 81.250 (81.416) Test: [0/391] Time 1.228 (1.228) Loss 0.8881 (0.8881) Prec@1 80.469 (80.469) Prec@5 89.844 (89.844) Test: [10/391] Time 0.107 (0.224) Loss 1.2402 (0.8479) Prec@1 66.406 (78.338) Prec@5 89.844 (93.111) Test: [20/391] Time 0.109 (0.170) Loss 1.0145 (1.1664) Prec@1 76.562 (70.908) Prec@5 90.625 (89.435) Test: [30/391] Time 0.102 (0.149) Loss 1.8227 (1.3264) Prec@1 66.406 (66.809) Prec@5 85.156 (87.979) Test: [40/391] Time 0.115 (0.142) Loss 1.3978 (1.1951) Prec@1 66.406 (70.217) Prec@5 85.938 (89.158) Test: [50/391] Time 0.113 (0.136) Loss 0.7882 (1.2324) Prec@1 78.125 (69.730) Prec@5 95.312 (88.971) Test: [60/391] Time 0.107 (0.132) Loss 1.0310 (1.1588) Prec@1 67.188 (71.324) Prec@5 94.531 (89.818) Test: [70/391] Time 0.108 (0.129) Loss 1.2519 (1.1915) Prec@1 64.844 (70.290) Prec@5 94.531 (89.712) Test: [80/391] Time 0.107 (0.126) Loss 1.0464 (1.2128) Prec@1 73.438 (69.203) Prec@5 91.406 (89.767) Test: [90/391] Time 0.109 (0.124) Loss 1.4730 (1.2074) Prec@1 51.562 (69.239) Prec@5 89.844 (89.921) Test: [100/391] Time 0.103 (0.122) Loss 1.2503 (1.1975) Prec@1 62.500 (69.075) Prec@5 89.844 (90.223) Test: [110/391] Time 0.103 (0.120) Loss 1.2705 (1.2000) Prec@1 52.344 (68.630) Prec@5 95.312 (90.379) Test: [120/391] Time 0.108 (0.119) Loss 0.8600 (1.1907) Prec@1 76.562 (68.924) Prec@5 95.312 (90.535) Test: [130/391] Time 0.105 (0.119) Loss 0.5703 (1.1807) Prec@1 86.719 (69.328) Prec@5 95.312 (90.691) Test: [140/391] Time 0.100 (0.118) Loss 1.4298 (1.1788) Prec@1 61.719 (69.326) Prec@5 89.844 (90.719) Test: [150/391] Time 0.107 (0.117) Loss 1.3510 (1.1829) Prec@1 56.250 (69.412) Prec@5 89.844 (90.641) Test: [160/391] Time 0.109 (0.116) Loss 0.9778 (1.1885) Prec@1 71.094 (69.376) Prec@5 92.969 (90.552) Test: [170/391] Time 0.104 (0.116) Loss 1.8183 (1.2240) Prec@1 52.344 (68.631) Prec@5 85.938 (90.086) Test: [180/391] Time 0.101 (0.115) Loss 2.2768 (1.2519) Prec@1 44.531 (68.064) Prec@5 81.250 (89.753) Test: [190/391] Time 0.104 (0.115) Loss 2.3392 (1.2915) Prec@1 48.438 (67.363) Prec@5 81.250 (89.173) Test: [200/391] Time 0.108 (0.114) Loss 1.5804 (1.3280) Prec@1 54.688 (66.706) Prec@5 85.156 (88.705) Test: [210/391] Time 0.110 (0.114) Loss 1.9264 (1.3490) Prec@1 56.250 (66.310) Prec@5 82.812 (88.463) Test: [220/391] Time 0.105 (0.114) Loss 0.6105 (1.3601) Prec@1 83.594 (66.162) Prec@5 94.531 (88.207) Test: [230/391] Time 0.103 (0.114) Loss 2.3549 (1.3742) Prec@1 45.312 (65.973) Prec@5 77.344 (88.034) Test: [240/391] Time 0.103 (0.113) Loss 1.6988 (1.3859) Prec@1 68.750 (65.936) Prec@5 83.594 (87.795) Test: [250/391] Time 0.102 (0.113) Loss 1.3329 (1.4133) Prec@1 68.750 (65.348) Prec@5 87.500 (87.438) Test: [260/391] Time 0.107 (0.113) Loss 2.0397 (1.4327) Prec@1 57.031 (64.963) Prec@5 77.344 (87.195) Test: [270/391] Time 0.105 (0.113) Loss 2.3205 (1.4406) Prec@1 47.656 (64.832) Prec@5 81.250 (87.065) Test: [280/391] Time 0.104 (0.112) Loss 1.3609 (1.4501) Prec@1 63.281 (64.705) Prec@5 91.406 (86.950) Test: [290/391] Time 0.101 (0.112) Loss 2.1502 (1.4655) Prec@1 48.438 (64.463) Prec@5 76.562 (86.705) Test: [300/391] Time 0.099 (0.112) Loss 1.2012 (1.4773) Prec@1 76.562 (64.325) Prec@5 87.500 (86.501) Test: [310/391] Time 0.106 (0.111) Loss 1.7656 (1.4849) Prec@1 63.281 (64.233) Prec@5 76.562 (86.365) Test: [320/391] Time 0.099 (0.111) Loss 1.1131 (1.4931) Prec@1 74.219 (64.075) Prec@5 91.406 (86.247) Test: [330/391] Time 0.100 (0.111) Loss 2.1831 (1.5141) Prec@1 53.125 (63.649) Prec@5 74.219 (85.919) Test: [340/391] Time 0.101 (0.111) Loss 1.7000 (1.5207) Prec@1 43.750 (63.460) Prec@5 89.844 (85.816) Test: [350/391] Time 0.102 (0.111) Loss 1.6045 (1.5260) Prec@1 66.406 (63.366) Prec@5 86.719 (85.739) Test: [360/391] Time 0.099 (0.111) Loss 1.7046 (1.5352) Prec@1 55.469 (63.173) Prec@5 86.719 (85.652) Test: [370/391] Time 0.099 (0.111) Loss 1.4092 (1.5280) Prec@1 59.375 (63.294) Prec@5 93.750 (85.750) Test: [380/391] Time 0.102 (0.111) Loss 1.1355 (1.5293) Prec@1 70.312 (63.240) Prec@5 92.188 (85.761) Test: [390/391] Time 0.071 (0.111) Loss 2.2636 (1.5208) Prec@1 43.750 (63.408) Prec@5 76.250 (85.860) * Prec@1 63.408 Prec@5 85.860 Epoch: [58][0/10010] Time 2.923 (2.923) Data 2.744 (2.744) Loss 1.8825 (1.8825) Prec@1 59.375 (59.375) Prec@5 78.125 (78.125) Epoch: [58][10/10010] Time 0.319 (0.554) Data 0.001 (0.250) Loss 1.6008 (1.8172) Prec@1 62.500 (60.227) Prec@5 84.375 (79.332) Epoch: [58][20/10010] Time 0.318 (0.440) Data 0.000 (0.131) Loss 1.8695 (1.7964) Prec@1 57.031 (59.784) Prec@5 78.906 (79.911) Epoch: [58][30/10010] Time 0.318 (0.401) Data 0.000 (0.089) Loss 2.0710 (1.7649) Prec@1 55.469 (60.232) Prec@5 75.781 (80.393) Epoch: [58][40/10010] Time 0.310 (0.380) Data 0.001 (0.068) Loss 1.9163 (1.7497) Prec@1 55.469 (60.347) Prec@5 79.688 (80.888) Epoch: [58][50/10010] Time 0.321 (0.368) Data 0.001 (0.054) Loss 1.9091 (1.7459) Prec@1 60.156 (60.294) Prec@5 78.906 (81.250) Epoch: [58][60/10010] Time 0.318 (0.360) Data 0.001 (0.046) Loss 1.4720 (1.7211) Prec@1 66.406 (60.579) Prec@5 85.938 (81.801) Epoch: [58][70/10010] Time 0.336 (0.355) Data 0.001 (0.039) Loss 1.6363 (1.7290) Prec@1 61.719 (60.541) Prec@5 80.469 (81.668) Epoch: [58][80/10010] Time 0.339 (0.352) Data 0.001 (0.034) Loss 1.5684 (1.7324) Prec@1 64.062 (60.359) Prec@5 85.938 (81.684) Epoch: [58][90/10010] Time 0.334 (0.349) Data 0.000 (0.031) Loss 1.8929 (1.7268) Prec@1 56.250 (60.560) Prec@5 76.562 (81.765) Epoch: [58][100/10010] Time 0.336 (0.347) Data 0.000 (0.028) Loss 2.0870 (1.7306) Prec@1 55.469 (60.388) Prec@5 72.656 (81.815) Epoch: [58][110/10010] Time 0.323 (0.345) Data 0.000 (0.025) Loss 1.6386 (1.7264) Prec@1 67.188 (60.487) Prec@5 82.812 (81.961) Epoch: [58][120/10010] Time 0.326 (0.344) Data 0.001 (0.023) Loss 1.6071 (1.7256) Prec@1 62.500 (60.440) Prec@5 87.500 (81.986) Epoch: [58][130/10010] Time 0.326 (0.343) Data 0.001 (0.022) Loss 1.5867 (1.7182) Prec@1 66.406 (60.657) Prec@5 85.938 (82.049) Epoch: [58][140/10010] Time 0.316 (0.341) Data 0.001 (0.020) Loss 1.8998 (1.7164) Prec@1 55.469 (60.749) Prec@5 80.469 (82.120) Epoch: [58][150/10010] Time 0.332 (0.340) Data 0.000 (0.019) Loss 1.5699 (1.7167) Prec@1 64.844 (60.725) Prec@5 81.250 (82.083) Epoch: [58][160/10010] Time 0.320 (0.340) Data 0.001 (0.018) Loss 1.7081 (1.7144) Prec@1 57.812 (60.758) Prec@5 77.344 (82.089) Epoch: [58][170/10010] Time 0.317 (0.339) Data 0.001 (0.017) Loss 1.6517 (1.7134) Prec@1 60.938 (60.741) Prec@5 82.031 (82.072) Epoch: [58][180/10010] Time 0.334 (0.338) Data 0.000 (0.016) Loss 1.1144 (1.7068) Prec@1 73.438 (60.834) Prec@5 89.062 (82.191) Epoch: [58][190/10010] Time 0.325 (0.337) Data 0.000 (0.015) Loss 1.4624 (1.7004) Prec@1 62.500 (60.909) Prec@5 85.156 (82.301) Epoch: [58][200/10010] Time 0.342 (0.337) Data 0.001 (0.014) Loss 1.8380 (1.7036) Prec@1 59.375 (60.871) Prec@5 79.688 (82.214) Epoch: [58][210/10010] Time 0.338 (0.336) Data 0.000 (0.014) Loss 1.9784 (1.7050) Prec@1 53.906 (60.823) Prec@5 78.906 (82.176) Epoch: [58][220/10010] Time 0.343 (0.336) Data 0.000 (0.013) Loss 1.7447 (1.7041) Prec@1 64.062 (60.930) Prec@5 81.250 (82.226) Epoch: [58][230/10010] Time 0.320 (0.336) Data 0.000 (0.012) Loss 1.3158 (1.7016) Prec@1 71.094 (60.971) Prec@5 85.938 (82.292) Epoch: [58][240/10010] Time 0.332 (0.335) Data 0.000 (0.012) Loss 1.9083 (1.7020) Prec@1 57.031 (60.963) Prec@5 80.469 (82.258) Epoch: [58][250/10010] Time 0.322 (0.335) Data 0.000 (0.012) Loss 1.7589 (1.7005) Prec@1 59.375 (61.009) Prec@5 82.031 (82.258) Epoch: [58][260/10010] Time 0.338 (0.334) Data 0.000 (0.011) Loss 1.6454 (1.7033) Prec@1 65.625 (60.970) Prec@5 82.031 (82.208) Epoch: [58][270/10010] Time 0.315 (0.334) Data 0.000 (0.011) Loss 1.5069 (1.7051) Prec@1 64.062 (60.929) Prec@5 84.375 (82.198) Epoch: [58][280/10010] Time 0.311 (0.333) Data 0.001 (0.010) Loss 1.9824 (1.7045) Prec@1 54.688 (60.932) Prec@5 78.125 (82.204) Epoch: [58][290/10010] Time 0.331 (0.333) Data 0.000 (0.010) Loss 1.9834 (1.7072) Prec@1 56.250 (60.862) Prec@5 78.906 (82.171) Epoch: [58][300/10010] Time 0.323 (0.333) Data 0.000 (0.010) Loss 1.9577 (1.7085) Prec@1 59.375 (60.849) Prec@5 78.125 (82.127) Epoch: [58][310/10010] Time 0.317 (0.332) Data 0.001 (0.009) Loss 1.3773 (1.7077) Prec@1 64.844 (60.832) Prec@5 90.625 (82.152) Epoch: [58][320/10010] Time 0.337 (0.332) Data 0.000 (0.009) Loss 1.5032 (1.7066) Prec@1 69.531 (60.857) Prec@5 83.594 (82.155) Epoch: [58][330/10010] Time 0.334 (0.332) Data 0.000 (0.009) Loss 1.5838 (1.7094) Prec@1 60.938 (60.805) Prec@5 85.938 (82.130) Epoch: [58][340/10010] Time 0.320 (0.331) Data 0.001 (0.009) Loss 1.8854 (1.7109) Prec@1 54.688 (60.779) Prec@5 82.031 (82.141) Epoch: [58][350/10010] Time 0.312 (0.331) Data 0.000 (0.008) Loss 1.3550 (1.7120) Prec@1 68.750 (60.779) Prec@5 87.500 (82.134) Epoch: [58][360/10010] Time 0.342 (0.331) Data 0.000 (0.008) Loss 1.8413 (1.7096) Prec@1 54.688 (60.801) Prec@5 77.344 (82.189) Epoch: [58][370/10010] Time 0.318 (0.331) Data 0.001 (0.008) Loss 1.7298 (1.7093) Prec@1 59.375 (60.822) Prec@5 82.812 (82.181) Epoch: [58][380/10010] Time 0.320 (0.331) Data 0.001 (0.008) Loss 1.8580 (1.7106) Prec@1 59.375 (60.771) Prec@5 79.688 (82.199) Epoch: [58][390/10010] Time 0.339 (0.331) Data 0.000 (0.008) Loss 2.0035 (1.7135) Prec@1 57.812 (60.728) Prec@5 77.344 (82.143) Epoch: [58][400/10010] Time 0.318 (0.331) Data 0.001 (0.007) Loss 1.7348 (1.7144) Prec@1 57.031 (60.698) Prec@5 79.688 (82.125) Epoch: [58][410/10010] Time 0.328 (0.330) Data 0.001 (0.007) Loss 1.8599 (1.7122) Prec@1 55.469 (60.740) Prec@5 79.688 (82.159) Epoch: [58][420/10010] Time 0.315 (0.330) Data 0.001 (0.007) Loss 1.9487 (1.7161) Prec@1 60.156 (60.667) Prec@5 77.344 (82.094) Epoch: [58][430/10010] Time 0.316 (0.330) Data 0.000 (0.007) Loss 1.8008 (1.7147) Prec@1 55.469 (60.709) Prec@5 79.688 (82.133) Epoch: [58][440/10010] Time 0.321 (0.330) Data 0.001 (0.007) Loss 1.6637 (1.7156) Prec@1 58.594 (60.688) Prec@5 80.469 (82.130) Epoch: [58][450/10010] Time 0.337 (0.330) Data 0.001 (0.007) Loss 1.6554 (1.7161) Prec@1 63.281 (60.700) Prec@5 82.031 (82.118) Epoch: [58][460/10010] Time 0.326 (0.330) Data 0.001 (0.007) Loss 1.3929 (1.7161) Prec@1 66.406 (60.678) Prec@5 85.938 (82.102) Epoch: [58][470/10010] Time 0.315 (0.330) Data 0.001 (0.006) Loss 1.7249 (1.7176) Prec@1 60.156 (60.674) Prec@5 81.250 (82.084) Epoch: [58][480/10010] Time 0.319 (0.330) Data 0.001 (0.006) Loss 1.4481 (1.7188) Prec@1 67.969 (60.670) Prec@5 85.156 (82.060) Epoch: [58][490/10010] Time 0.312 (0.330) Data 0.001 (0.006) Loss 1.5191 (1.7189) Prec@1 62.500 (60.672) Prec@5 86.719 (82.049) Epoch: [58][500/10010] Time 0.314 (0.330) Data 0.001 (0.006) Loss 1.8690 (1.7203) Prec@1 60.938 (60.638) Prec@5 79.688 (82.014) Epoch: [58][510/10010] Time 0.324 (0.330) Data 0.001 (0.006) Loss 1.8525 (1.7203) Prec@1 57.812 (60.635) Prec@5 78.125 (82.017) Epoch: [58][520/10010] Time 0.324 (0.330) Data 0.001 (0.006) Loss 2.0893 (1.7211) Prec@1 52.344 (60.624) Prec@5 75.781 (82.013) Epoch: [58][530/10010] Time 0.333 (0.330) Data 0.000 (0.006) Loss 1.6656 (1.7227) Prec@1 61.719 (60.614) Prec@5 85.156 (82.000) Epoch: [58][540/10010] Time 0.332 (0.330) Data 0.001 (0.006) Loss 1.7185 (1.7240) Prec@1 57.031 (60.569) Prec@5 81.250 (81.972) Epoch: [58][550/10010] Time 0.328 (0.330) Data 0.000 (0.006) Loss 1.9317 (1.7237) Prec@1 57.031 (60.550) Prec@5 78.125 (81.993) Epoch: [58][560/10010] Time 0.325 (0.330) Data 0.001 (0.005) Loss 1.8039 (1.7229) Prec@1 57.031 (60.560) Prec@5 80.469 (82.005) Epoch: [58][570/10010] Time 0.322 (0.330) Data 0.000 (0.005) Loss 1.6044 (1.7222) Prec@1 63.281 (60.576) Prec@5 80.469 (82.003) Epoch: [58][580/10010] Time 0.326 (0.330) Data 0.001 (0.005) Loss 1.7113 (1.7215) Prec@1 64.844 (60.596) Prec@5 85.156 (82.018) Epoch: [58][590/10010] Time 0.316 (0.330) Data 0.001 (0.005) Loss 1.4745 (1.7210) Prec@1 65.625 (60.583) Prec@5 85.938 (82.019) Epoch: [58][600/10010] Time 0.313 (0.330) Data 0.000 (0.005) Loss 1.6693 (1.7226) Prec@1 61.719 (60.557) Prec@5 81.250 (81.991) Epoch: [58][610/10010] Time 0.319 (0.330) Data 0.001 (0.005) Loss 1.8016 (1.7218) Prec@1 56.250 (60.560) Prec@5 82.031 (82.013) Epoch: [58][620/10010] Time 0.309 (0.329) Data 0.001 (0.005) Loss 1.5906 (1.7211) Prec@1 60.156 (60.558) Prec@5 83.594 (82.038) Epoch: [58][630/10010] Time 0.320 (0.329) Data 0.001 (0.005) Loss 1.6214 (1.7216) Prec@1 60.938 (60.561) Prec@5 82.031 (82.040) Epoch: [58][640/10010] Time 0.323 (0.329) Data 0.000 (0.005) Loss 1.9163 (1.7230) Prec@1 55.469 (60.523) Prec@5 78.125 (82.014) Epoch: [58][650/10010] Time 0.331 (0.329) Data 0.001 (0.005) Loss 1.6558 (1.7239) Prec@1 61.719 (60.504) Prec@5 82.812 (82.004) Epoch: [58][660/10010] Time 0.329 (0.329) Data 0.000 (0.005) Loss 1.5781 (1.7238) Prec@1 64.062 (60.508) Prec@5 84.375 (82.010) Epoch: [58][670/10010] Time 0.334 (0.329) Data 0.001 (0.005) Loss 1.4300 (1.7247) Prec@1 66.406 (60.500) Prec@5 85.156 (81.984) Epoch: [58][680/10010] Time 0.318 (0.329) Data 0.001 (0.005) Loss 1.7645 (1.7248) Prec@1 55.469 (60.522) Prec@5 79.688 (81.981) Epoch: [58][690/10010] Time 0.316 (0.329) Data 0.000 (0.005) Loss 1.5760 (1.7252) Prec@1 60.938 (60.500) Prec@5 85.156 (81.976) Epoch: [58][700/10010] Time 0.336 (0.329) Data 0.001 (0.005) Loss 1.5553 (1.7254) Prec@1 67.188 (60.501) Prec@5 80.469 (81.958) Epoch: [58][710/10010] Time 0.310 (0.329) Data 0.001 (0.004) Loss 1.7106 (1.7257) Prec@1 63.281 (60.518) Prec@5 83.594 (81.946) Epoch: [58][720/10010] Time 0.324 (0.329) Data 0.001 (0.004) Loss 1.9394 (1.7254) Prec@1 56.250 (60.514) Prec@5 80.469 (81.952) Epoch: [58][730/10010] Time 0.319 (0.329) Data 0.000 (0.004) Loss 1.6858 (1.7253) Prec@1 55.469 (60.493) Prec@5 83.594 (81.946) Epoch: [58][740/10010] Time 0.343 (0.329) Data 0.000 (0.004) Loss 1.6503 (1.7258) Prec@1 61.719 (60.507) Prec@5 83.594 (81.935) Epoch: [58][750/10010] Time 0.316 (0.329) Data 0.001 (0.004) Loss 1.6874 (1.7258) Prec@1 62.500 (60.485) Prec@5 85.156 (81.949) Epoch: [58][760/10010] Time 0.319 (0.329) Data 0.001 (0.004) Loss 1.8399 (1.7256) Prec@1 59.375 (60.496) Prec@5 78.906 (81.956) Epoch: [58][770/10010] Time 0.334 (0.329) Data 0.000 (0.004) Loss 1.5289 (1.7255) Prec@1 71.094 (60.497) Prec@5 84.375 (81.957) Epoch: [58][780/10010] Time 0.322 (0.329) Data 0.000 (0.004) Loss 1.6645 (1.7256) Prec@1 57.031 (60.484) Prec@5 79.688 (81.959) Epoch: [58][790/10010] Time 0.340 (0.329) Data 0.001 (0.004) Loss 1.5921 (1.7254) Prec@1 59.375 (60.480) Prec@5 85.938 (81.965) Epoch: [58][800/10010] Time 0.319 (0.329) Data 0.000 (0.004) Loss 1.8714 (1.7258) Prec@1 55.469 (60.456) Prec@5 83.594 (81.967) Epoch: [58][810/10010] Time 0.328 (0.329) Data 0.001 (0.004) Loss 1.6787 (1.7264) Prec@1 55.469 (60.443) Prec@5 79.688 (81.959) Epoch: [58][820/10010] Time 0.333 (0.328) Data 0.001 (0.004) Loss 2.1293 (1.7269) Prec@1 53.125 (60.439) Prec@5 75.781 (81.962) Epoch: [58][830/10010] Time 0.340 (0.328) Data 0.000 (0.004) Loss 1.6955 (1.7267) Prec@1 64.062 (60.462) Prec@5 79.688 (81.963) Epoch: [58][840/10010] Time 0.342 (0.328) Data 0.001 (0.004) Loss 1.6093 (1.7269) Prec@1 60.156 (60.447) Prec@5 85.938 (81.958) Epoch: [58][850/10010] Time 0.328 (0.328) Data 0.001 (0.004) Loss 1.7132 (1.7264) Prec@1 59.375 (60.468) Prec@5 83.594 (81.961) Epoch: [58][860/10010] Time 0.338 (0.328) Data 0.001 (0.004) Loss 1.8179 (1.7258) Prec@1 60.156 (60.493) Prec@5 81.250 (81.968) Epoch: [58][870/10010] Time 0.338 (0.329) Data 0.000 (0.004) Loss 1.7782 (1.7261) Prec@1 53.906 (60.474) Prec@5 82.812 (81.967) Epoch: [58][880/10010] Time 0.315 (0.328) Data 0.001 (0.004) Loss 1.7024 (1.7264) Prec@1 60.156 (60.467) Prec@5 80.469 (81.959) Epoch: [58][890/10010] Time 0.336 (0.328) Data 0.000 (0.004) Loss 1.5559 (1.7257) Prec@1 66.406 (60.495) Prec@5 85.938 (81.975) Epoch: [58][900/10010] Time 0.319 (0.328) Data 0.000 (0.004) Loss 1.8770 (1.7259) Prec@1 55.469 (60.501) Prec@5 79.688 (81.987) Epoch: [58][910/10010] Time 0.342 (0.328) Data 0.001 (0.004) Loss 1.7500 (1.7265) Prec@1 53.125 (60.462) Prec@5 81.250 (81.979) Epoch: [58][920/10010] Time 0.314 (0.328) Data 0.001 (0.004) Loss 1.4196 (1.7275) Prec@1 64.844 (60.458) Prec@5 85.938 (81.956) Epoch: [58][930/10010] Time 0.316 (0.328) Data 0.001 (0.004) Loss 1.7570 (1.7271) Prec@1 57.031 (60.447) Prec@5 80.469 (81.960) Epoch: [58][940/10010] Time 0.337 (0.328) Data 0.000 (0.004) Loss 1.7630 (1.7275) Prec@1 57.031 (60.439) Prec@5 81.250 (81.962) Epoch: [58][950/10010] Time 0.319 (0.328) Data 0.001 (0.003) Loss 1.8423 (1.7277) Prec@1 59.375 (60.440) Prec@5 79.688 (81.959) /data/vision/torralba/deepscene/lib/anaconda2/lib/python2.7/site-packages/PIL/TiffImagePlugin.py:692: UserWarning: Possibly corrupt EXIF data. Expecting to read 2555904 bytes but only got 0. Skipping tag 0 "Skipping tag %s" % (size, len(data), tag)) Epoch: [58][960/10010] Time 0.335 (0.328) Data 0.001 (0.003) Loss 1.5339 (1.7287) Prec@1 64.844 (60.415) Prec@5 85.938 (81.943) Epoch: [58][970/10010] Time 0.327 (0.328) Data 0.000 (0.003) Loss 2.1143 (1.7302) Prec@1 55.469 (60.382) Prec@5 74.219 (81.924) Epoch: [58][980/10010] Time 0.324 (0.328) Data 0.000 (0.003) Loss 1.9091 (1.7306) Prec@1 59.375 (60.366) Prec@5 78.125 (81.913) Epoch: [58][990/10010] Time 0.313 (0.328) Data 0.001 (0.003) Loss 1.6643 (1.7305) Prec@1 62.500 (60.360) Prec@5 82.812 (81.912) Epoch: [58][1000/10010] Time 0.319 (0.328) Data 0.001 (0.003) Loss 1.4743 (1.7309) Prec@1 64.844 (60.361) Prec@5 85.156 (81.905) Epoch: [58][1010/10010] Time 0.336 (0.328) Data 0.000 (0.003) Loss 1.7414 (1.7319) Prec@1 58.594 (60.337) Prec@5 83.594 (81.887) Epoch: [58][1020/10010] Time 0.326 (0.328) Data 0.001 (0.003) Loss 1.8868 (1.7328) Prec@1 60.938 (60.309) Prec@5 78.906 (81.871) Epoch: [58][1030/10010] Time 0.323 (0.328) Data 0.001 (0.003) Loss 2.0141 (1.7334) Prec@1 50.781 (60.296) Prec@5 79.688 (81.863) Epoch: [58][1040/10010] Time 0.329 (0.328) Data 0.001 (0.003) Loss 1.9385 (1.7340) Prec@1 59.375 (60.279) Prec@5 79.688 (81.858) Epoch: [58][1050/10010] Time 0.322 (0.328) Data 0.000 (0.003) Loss 2.0473 (1.7356) Prec@1 49.219 (60.246) Prec@5 81.250 (81.833) Epoch: [58][1060/10010] Time 0.317 (0.328) Data 0.000 (0.003) Loss 1.8395 (1.7360) Prec@1 57.812 (60.244) Prec@5 80.469 (81.823) Epoch: [58][1070/10010] Time 0.316 (0.328) Data 0.001 (0.003) Loss 1.9222 (1.7364) Prec@1 57.031 (60.235) Prec@5 78.906 (81.815) Epoch: [58][1080/10010] Time 0.334 (0.328) Data 0.001 (0.003) Loss 1.7836 (1.7370) Prec@1 62.500 (60.223) Prec@5 82.031 (81.801) Epoch: [58][1090/10010] Time 0.331 (0.328) Data 0.000 (0.003) Loss 1.7413 (1.7365) Prec@1 58.594 (60.231) Prec@5 80.469 (81.806) Epoch: [58][1100/10010] Time 0.332 (0.328) Data 0.001 (0.003) Loss 1.6401 (1.7360) Prec@1 62.500 (60.233) Prec@5 85.156 (81.815) Epoch: [58][1110/10010] Time 0.322 (0.328) Data 0.001 (0.003) Loss 1.4628 (1.7359) Prec@1 63.281 (60.231) Prec@5 85.156 (81.817) Epoch: [58][1120/10010] Time 0.323 (0.328) Data 0.000 (0.003) Loss 1.6075 (1.7365) Prec@1 60.156 (60.222) Prec@5 83.594 (81.808) Epoch: [58][1130/10010] Time 0.324 (0.328) Data 0.001 (0.003) Loss 1.7087 (1.7360) Prec@1 59.375 (60.229) Prec@5 85.156 (81.822) Epoch: [58][1140/10010] Time 0.339 (0.328) Data 0.001 (0.003) Loss 1.7428 (1.7360) Prec@1 66.406 (60.234) Prec@5 82.031 (81.808) Epoch: [58][1150/10010] Time 0.319 (0.328) Data 0.001 (0.003) Loss 1.7682 (1.7360) Prec@1 59.375 (60.225) Prec@5 79.688 (81.809) Epoch: [58][1160/10010] Time 0.329 (0.328) Data 0.001 (0.003) Loss 1.5658 (1.7356) Prec@1 64.844 (60.232) Prec@5 87.500 (81.826) Epoch: [58][1170/10010] Time 0.324 (0.328) Data 0.000 (0.003) Loss 1.3481 (1.7350) Prec@1 67.969 (60.251) Prec@5 91.406 (81.833) Epoch: [58][1180/10010] Time 0.321 (0.327) Data 0.001 (0.003) Loss 1.6621 (1.7350) Prec@1 62.500 (60.248) Prec@5 82.031 (81.835) Epoch: [58][1190/10010] Time 0.334 (0.328) Data 0.001 (0.003) Loss 1.5717 (1.7342) Prec@1 58.594 (60.258) Prec@5 86.719 (81.844) Epoch: [58][1200/10010] Time 0.330 (0.327) Data 0.000 (0.003) Loss 1.7553 (1.7343) Prec@1 60.938 (60.248) Prec@5 83.594 (81.838) Epoch: [58][1210/10010] Time 0.328 (0.327) Data 0.001 (0.003) Loss 1.9459 (1.7348) Prec@1 50.781 (60.247) Prec@5 80.469 (81.832) Epoch: [58][1220/10010] Time 0.313 (0.327) Data 0.001 (0.003) Loss 1.6852 (1.7349) Prec@1 63.281 (60.254) Prec@5 85.938 (81.829) Epoch: [58][1230/10010] Time 0.335 (0.328) Data 0.000 (0.003) Loss 1.6116 (1.7349) Prec@1 59.375 (60.253) Prec@5 83.594 (81.820) Epoch: [58][1240/10010] Time 0.337 (0.327) Data 0.000 (0.003) Loss 1.7265 (1.7351) Prec@1 61.719 (60.250) Prec@5 80.469 (81.817) Epoch: [58][1250/10010] Time 0.340 (0.328) Data 0.001 (0.003) Loss 1.8234 (1.7354) Prec@1 57.031 (60.249) Prec@5 80.469 (81.804) Epoch: [58][1260/10010] Time 0.319 (0.327) Data 0.001 (0.003) Loss 1.6249 (1.7358) Prec@1 57.812 (60.250) Prec@5 82.031 (81.794) Epoch: [58][1270/10010] Time 0.325 (0.327) Data 0.001 (0.003) Loss 1.8389 (1.7353) Prec@1 57.031 (60.252) Prec@5 78.906 (81.799) Epoch: [58][1280/10010] Time 0.314 (0.327) Data 0.001 (0.003) Loss 1.5202 (1.7361) Prec@1 63.281 (60.238) Prec@5 85.938 (81.787) Epoch: [58][1290/10010] Time 0.323 (0.327) Data 0.001 (0.003) Loss 1.7661 (1.7366) Prec@1 60.938 (60.228) Prec@5 81.250 (81.776) Epoch: [58][1300/10010] Time 0.339 (0.327) Data 0.001 (0.003) Loss 1.7367 (1.7372) Prec@1 62.500 (60.230) Prec@5 79.688 (81.765) Epoch: [58][1310/10010] Time 0.336 (0.327) Data 0.001 (0.003) Loss 1.5293 (1.7365) Prec@1 61.719 (60.243) Prec@5 82.031 (81.767) Epoch: [58][1320/10010] Time 0.320 (0.327) Data 0.001 (0.003) Loss 2.0162 (1.7364) Prec@1 59.375 (60.250) Prec@5 77.344 (81.767) Epoch: [58][1330/10010] Time 0.321 (0.327) Data 0.001 (0.003) Loss 1.7753 (1.7364) Prec@1 60.156 (60.243) Prec@5 79.688 (81.758) Epoch: [58][1340/10010] Time 0.338 (0.327) Data 0.001 (0.003) Loss 1.7458 (1.7360) Prec@1 60.938 (60.254) Prec@5 82.031 (81.767) Epoch: [58][1350/10010] Time 0.327 (0.327) Data 0.001 (0.003) Loss 1.7336 (1.7356) Prec@1 59.375 (60.261) Prec@5 80.469 (81.774) Epoch: [58][1360/10010] Time 0.317 (0.327) Data 0.001 (0.003) Loss 1.7024 (1.7360) Prec@1 57.812 (60.258) Prec@5 83.594 (81.759) Epoch: [58][1370/10010] Time 0.336 (0.327) Data 0.000 (0.003) Loss 1.7988 (1.7370) Prec@1 57.031 (60.250) Prec@5 84.375 (81.746) Epoch: [58][1380/10010] Time 0.318 (0.327) Data 0.001 (0.003) Loss 1.7307 (1.7363) Prec@1 60.938 (60.252) Prec@5 81.250 (81.751) Epoch: [58][1390/10010] Time 0.337 (0.327) Data 0.001 (0.003) Loss 1.9998 (1.7367) Prec@1 59.375 (60.248) Prec@5 77.344 (81.749) Epoch: [58][1400/10010] Time 0.336 (0.327) Data 0.001 (0.003) Loss 1.4714 (1.7369) Prec@1 61.719 (60.248) Prec@5 88.281 (81.745) Epoch: [58][1410/10010] Time 0.317 (0.327) Data 0.001 (0.003) Loss 1.8320 (1.7366) Prec@1 61.719 (60.250) Prec@5 80.469 (81.746) Epoch: [58][1420/10010] Time 0.319 (0.327) Data 0.001 (0.003) Loss 1.8632 (1.7373) Prec@1 53.906 (60.227) Prec@5 79.688 (81.740) Epoch: [58][1430/10010] Time 0.322 (0.327) Data 0.000 (0.003) Loss 1.5938 (1.7385) Prec@1 63.281 (60.208) Prec@5 84.375 (81.720) Epoch: [58][1440/10010] Time 0.320 (0.327) Data 0.001 (0.003) Loss 1.9064 (1.7387) Prec@1 54.688 (60.200) Prec@5 77.344 (81.718) Epoch: [58][1450/10010] Time 0.337 (0.328) Data 0.000 (0.003) Loss 1.6998 (1.7388) Prec@1 60.938 (60.191) Prec@5 82.812 (81.720) Epoch: [58][1460/10010] Time 0.324 (0.327) Data 0.001 (0.002) Loss 1.5262 (1.7380) Prec@1 63.281 (60.202) Prec@5 85.938 (81.741) Epoch: [58][1470/10010] Time 0.334 (0.327) Data 0.001 (0.002) Loss 1.6725 (1.7378) Prec@1 61.719 (60.204) Prec@5 81.250 (81.742) Epoch: [58][1480/10010] Time 0.322 (0.327) Data 0.001 (0.002) Loss 1.8076 (1.7383) Prec@1 65.625 (60.198) Prec@5 77.344 (81.732) Epoch: [58][1490/10010] Time 0.327 (0.328) Data 0.000 (0.002) Loss 1.5147 (1.7390) Prec@1 65.625 (60.191) Prec@5 82.812 (81.727) Epoch: [58][1500/10010] Time 0.335 (0.327) Data 0.000 (0.002) Loss 1.6340 (1.7390) Prec@1 63.281 (60.192) Prec@5 84.375 (81.726) Epoch: [58][1510/10010] Time 0.318 (0.327) Data 0.000 (0.002) Loss 1.9108 (1.7391) Prec@1 58.594 (60.181) Prec@5 82.031 (81.726) Epoch: [58][1520/10010] Time 0.316 (0.327) Data 0.000 (0.002) Loss 1.7679 (1.7394) Prec@1 56.250 (60.183) Prec@5 78.906 (81.716) Epoch: [58][1530/10010] Time 0.342 (0.327) Data 0.001 (0.002) Loss 1.8702 (1.7395) Prec@1 57.812 (60.189) Prec@5 81.250 (81.716) Epoch: [58][1540/10010] Time 0.322 (0.327) Data 0.001 (0.002) Loss 2.0929 (1.7399) Prec@1 51.562 (60.186) Prec@5 72.656 (81.705) Epoch: [58][1550/10010] Time 0.313 (0.327) Data 0.001 (0.002) Loss 2.0397 (1.7401) Prec@1 53.125 (60.179) Prec@5 75.000 (81.700) Epoch: [58][1560/10010] Time 0.325 (0.327) Data 0.001 (0.002) Loss 2.0123 (1.7401) Prec@1 57.031 (60.175) Prec@5 75.000 (81.705) Epoch: [58][1570/10010] Time 0.318 (0.327) Data 0.000 (0.002) Loss 1.4342 (1.7398) Prec@1 65.625 (60.182) Prec@5 85.938 (81.710) Epoch: [58][1580/10010] Time 0.327 (0.327) Data 0.000 (0.002) Loss 1.9499 (1.7396) Prec@1 54.688 (60.187) Prec@5 79.688 (81.710) Epoch: [58][1590/10010] Time 0.324 (0.327) Data 0.001 (0.002) Loss 1.8959 (1.7406) Prec@1 57.031 (60.173) Prec@5 77.344 (81.694) Epoch: [58][1600/10010] Time 0.339 (0.327) Data 0.000 (0.002) Loss 1.7075 (1.7405) Prec@1 57.031 (60.172) Prec@5 82.031 (81.700) Epoch: [58][1610/10010] Time 0.322 (0.327) Data 0.001 (0.002) Loss 1.5670 (1.7403) Prec@1 63.281 (60.183) Prec@5 85.156 (81.704) Epoch: [58][1620/10010] Time 0.311 (0.327) Data 0.001 (0.002) Loss 1.6964 (1.7405) Prec@1 55.469 (60.178) Prec@5 80.469 (81.701) Epoch: [58][1630/10010] Time 0.313 (0.327) Data 0.000 (0.002) Loss 1.7423 (1.7403) Prec@1 60.156 (60.178) Prec@5 81.250 (81.702) Epoch: [58][1640/10010] Time 0.332 (0.327) Data 0.001 (0.002) Loss 1.6227 (1.7401) Prec@1 67.188 (60.181) Prec@5 84.375 (81.699) Epoch: [58][1650/10010] Time 0.334 (0.327) Data 0.001 (0.002) Loss 1.6042 (1.7401) Prec@1 58.594 (60.183) Prec@5 86.719 (81.702) Epoch: [58][1660/10010] Time 0.338 (0.327) Data 0.001 (0.002) Loss 1.8895 (1.7399) Prec@1 59.375 (60.200) Prec@5 79.688 (81.711) Epoch: [58][1670/10010] Time 0.320 (0.327) Data 0.001 (0.002) Loss 1.7141 (1.7399) Prec@1 65.625 (60.210) Prec@5 83.594 (81.709) Epoch: [58][1680/10010] Time 0.339 (0.327) Data 0.000 (0.002) Loss 1.5040 (1.7397) Prec@1 67.188 (60.211) Prec@5 85.156 (81.709) Epoch: [58][1690/10010] Time 0.326 (0.327) Data 0.001 (0.002) Loss 1.3165 (1.7395) Prec@1 64.844 (60.207) Prec@5 85.938 (81.713) Epoch: [58][1700/10010] Time 0.314 (0.327) Data 0.001 (0.002) Loss 2.0024 (1.7395) Prec@1 57.031 (60.201) Prec@5 78.906 (81.715) Epoch: [58][1710/10010] Time 0.337 (0.327) Data 0.000 (0.002) Loss 1.7487 (1.7395) Prec@1 60.156 (60.200) Prec@5 78.906 (81.716) Epoch: [58][1720/10010] Time 0.341 (0.327) Data 0.000 (0.002) Loss 1.7179 (1.7396) Prec@1 65.625 (60.204) Prec@5 82.031 (81.717) Epoch: [58][1730/10010] Time 0.324 (0.327) Data 0.000 (0.002) Loss 1.8960 (1.7393) Prec@1 60.156 (60.213) Prec@5 79.688 (81.721) Epoch: [58][1740/10010] Time 0.320 (0.327) Data 0.000 (0.002) Loss 1.4477 (1.7394) Prec@1 65.625 (60.214) Prec@5 86.719 (81.720) Epoch: [58][1750/10010] Time 0.322 (0.327) Data 0.001 (0.002) Loss 1.5774 (1.7390) Prec@1 62.500 (60.222) Prec@5 85.156 (81.728) Epoch: [58][1760/10010] Time 0.325 (0.327) Data 0.001 (0.002) Loss 1.7493 (1.7391) Prec@1 58.594 (60.222) Prec@5 82.812 (81.727) Epoch: [58][1770/10010] Time 0.324 (0.327) Data 0.001 (0.002) Loss 1.7349 (1.7394) Prec@1 61.719 (60.218) Prec@5 79.688 (81.717) Epoch: [58][1780/10010] Time 0.338 (0.327) Data 0.001 (0.002) Loss 1.7249 (1.7391) Prec@1 62.500 (60.219) Prec@5 82.031 (81.722) Epoch: [58][1790/10010] Time 0.333 (0.327) Data 0.001 (0.002) Loss 1.8048 (1.7392) Prec@1 60.156 (60.216) Prec@5 79.688 (81.720) Epoch: [58][1800/10010] Time 0.322 (0.327) Data 0.001 (0.002) Loss 1.6488 (1.7395) Prec@1 59.375 (60.210) Prec@5 84.375 (81.718) Epoch: [58][1810/10010] Time 0.340 (0.327) Data 0.001 (0.002) Loss 1.5216 (1.7394) Prec@1 65.625 (60.212) Prec@5 84.375 (81.720) Epoch: [58][1820/10010] Time 0.341 (0.327) Data 0.000 (0.002) Loss 1.6020 (1.7392) Prec@1 63.281 (60.214) Prec@5 81.250 (81.722) Epoch: [58][1830/10010] Time 0.314 (0.327) Data 0.001 (0.002) Loss 1.8184 (1.7395) Prec@1 64.844 (60.210) Prec@5 81.250 (81.724) Epoch: [58][1840/10010] Time 0.323 (0.327) Data 0.000 (0.002) Loss 1.8644 (1.7395) Prec@1 59.375 (60.206) Prec@5 76.562 (81.722) Epoch: [58][1850/10010] Time 0.315 (0.327) Data 0.001 (0.002) Loss 1.6151 (1.7393) Prec@1 66.406 (60.223) Prec@5 81.250 (81.729) Epoch: [58][1860/10010] Time 0.316 (0.327) Data 0.001 (0.002) Loss 1.6198 (1.7392) Prec@1 61.719 (60.223) Prec@5 85.156 (81.732) Epoch: [58][1870/10010] Time 0.339 (0.327) Data 0.000 (0.002) Loss 1.6252 (1.7389) Prec@1 63.281 (60.241) Prec@5 80.469 (81.730) Epoch: [58][1880/10010] Time 0.319 (0.327) Data 0.000 (0.002) Loss 1.7344 (1.7393) Prec@1 63.281 (60.235) Prec@5 77.344 (81.724) Epoch: [58][1890/10010] Time 0.320 (0.327) Data 0.000 (0.002) Loss 1.6983 (1.7389) Prec@1 62.500 (60.248) Prec@5 82.812 (81.730) Epoch: [58][1900/10010] Time 0.334 (0.327) Data 0.001 (0.002) Loss 1.7036 (1.7390) Prec@1 59.375 (60.257) Prec@5 82.031 (81.728) Epoch: [58][1910/10010] Time 0.321 (0.327) Data 0.000 (0.002) Loss 1.7316 (1.7391) Prec@1 64.062 (60.265) Prec@5 80.469 (81.726) Epoch: [58][1920/10010] Time 0.331 (0.327) Data 0.001 (0.002) Loss 1.8137 (1.7386) Prec@1 60.938 (60.273) Prec@5 78.125 (81.737) Epoch: [58][1930/10010] Time 0.336 (0.327) Data 0.001 (0.002) Loss 1.5495 (1.7385) Prec@1 57.812 (60.273) Prec@5 82.031 (81.739) Epoch: [58][1940/10010] Time 0.335 (0.327) Data 0.001 (0.002) Loss 1.7168 (1.7386) Prec@1 60.938 (60.273) Prec@5 82.812 (81.736) Epoch: [58][1950/10010] Time 0.334 (0.327) Data 0.001 (0.002) Loss 1.6788 (1.7391) Prec@1 59.375 (60.260) Prec@5 82.812 (81.731) Epoch: [58][1960/10010] Time 0.317 (0.327) Data 0.000 (0.002) Loss 1.6803 (1.7391) Prec@1 60.938 (60.257) Prec@5 81.250 (81.730) Epoch: [58][1970/10010] Time 0.329 (0.327) Data 0.001 (0.002) Loss 1.6916 (1.7388) Prec@1 60.156 (60.258) Prec@5 83.594 (81.737) Epoch: [58][1980/10010] Time 0.317 (0.327) Data 0.001 (0.002) Loss 1.6789 (1.7388) Prec@1 64.062 (60.262) Prec@5 80.469 (81.739) Epoch: [58][1990/10010] Time 0.332 (0.327) Data 0.001 (0.002) Loss 1.4154 (1.7387) Prec@1 64.062 (60.266) Prec@5 89.062 (81.744) Epoch: [58][2000/10010] Time 0.324 (0.327) Data 0.000 (0.002) Loss 1.8261 (1.7385) Prec@1 56.250 (60.267) Prec@5 84.375 (81.750) Epoch: [58][2010/10010] Time 0.333 (0.327) Data 0.000 (0.002) Loss 1.9606 (1.7390) Prec@1 58.594 (60.257) Prec@5 79.688 (81.743) Epoch: [58][2020/10010] Time 0.322 (0.327) Data 0.000 (0.002) Loss 2.0039 (1.7391) Prec@1 53.906 (60.247) Prec@5 75.781 (81.740) Epoch: [58][2030/10010] Time 0.330 (0.327) Data 0.000 (0.002) Loss 1.6686 (1.7392) Prec@1 54.688 (60.244) Prec@5 84.375 (81.740) Epoch: [58][2040/10010] Time 0.322 (0.327) Data 0.000 (0.002) Loss 1.6211 (1.7394) Prec@1 66.406 (60.240) Prec@5 82.031 (81.737) Epoch: [58][2050/10010] Time 0.319 (0.327) Data 0.000 (0.002) Loss 1.8800 (1.7402) Prec@1 57.812 (60.225) Prec@5 80.469 (81.725) /data/vision/torralba/deepscene/lib/anaconda2/lib/python2.7/site-packages/PIL/TiffImagePlugin.py:692: UserWarning: Possibly corrupt EXIF data. Expecting to read 1835008 bytes but only got 0. Skipping tag 0 "Skipping tag %s" % (size, len(data), tag)) Epoch: [58][2060/10010] Time 0.317 (0.327) Data 0.000 (0.002) Loss 1.7479 (1.7408) Prec@1 59.375 (60.212) Prec@5 79.688 (81.711) Epoch: [58][2070/10010] Time 0.308 (0.327) Data 0.001 (0.002) Loss 1.7350 (1.7405) Prec@1 64.062 (60.217) Prec@5 80.469 (81.716) Epoch: [58][2080/10010] Time 0.339 (0.327) Data 0.001 (0.002) Loss 1.6333 (1.7405) Prec@1 60.938 (60.214) Prec@5 85.938 (81.718) Epoch: [58][2090/10010] Time 0.332 (0.327) Data 0.001 (0.002) Loss 1.6015 (1.7407) Prec@1 64.062 (60.202) Prec@5 85.156 (81.717) Epoch: [58][2100/10010] Time 0.348 (0.327) Data 0.000 (0.002) Loss 1.5797 (1.7407) Prec@1 60.938 (60.197) Prec@5 85.156 (81.720) Epoch: [58][2110/10010] Time 0.338 (0.327) Data 0.001 (0.002) Loss 1.9076 (1.7413) Prec@1 55.469 (60.187) Prec@5 77.344 (81.709) Epoch: [58][2120/10010] Time 0.337 (0.327) Data 0.001 (0.002) Loss 1.6311 (1.7412) Prec@1 60.938 (60.191) Prec@5 82.812 (81.709) Epoch: [58][2130/10010] Time 0.338 (0.327) Data 0.001 (0.002) Loss 2.0098 (1.7409) Prec@1 55.469 (60.193) Prec@5 76.562 (81.713) Epoch: [58][2140/10010] Time 0.319 (0.327) Data 0.001 (0.002) Loss 1.5701 (1.7411) Prec@1 61.719 (60.188) Prec@5 86.719 (81.714) Epoch: [58][2150/10010] Time 0.341 (0.327) Data 0.001 (0.002) Loss 1.8052 (1.7411) Prec@1 55.469 (60.183) Prec@5 76.562 (81.706) Epoch: [58][2160/10010] Time 0.317 (0.327) Data 0.001 (0.002) Loss 1.8118 (1.7410) Prec@1 60.156 (60.187) Prec@5 81.250 (81.704) Epoch: [58][2170/10010] Time 0.320 (0.327) Data 0.001 (0.002) Loss 2.0044 (1.7414) Prec@1 55.469 (60.185) Prec@5 78.125 (81.698) Epoch: [58][2180/10010] Time 0.314 (0.327) Data 0.001 (0.002) Loss 1.8535 (1.7413) Prec@1 55.469 (60.187) Prec@5 81.250 (81.708) Epoch: [58][2190/10010] Time 0.339 (0.327) Data 0.001 (0.002) Loss 1.6429 (1.7417) Prec@1 67.969 (60.177) Prec@5 83.594 (81.700) Epoch: [58][2200/10010] Time 0.334 (0.327) Data 0.000 (0.002) Loss 1.6629 (1.7416) Prec@1 62.500 (60.180) Prec@5 82.031 (81.709) Epoch: [58][2210/10010] Time 0.332 (0.327) Data 0.001 (0.002) Loss 1.7112 (1.7419) Prec@1 66.406 (60.184) Prec@5 80.469 (81.707) Epoch: [58][2220/10010] Time 0.322 (0.327) Data 0.001 (0.002) Loss 1.8327 (1.7429) Prec@1 53.906 (60.162) Prec@5 81.250 (81.690) Epoch: [58][2230/10010] Time 0.339 (0.327) Data 0.000 (0.002) Loss 1.7358 (1.7429) Prec@1 59.375 (60.162) Prec@5 85.938 (81.691) Epoch: [58][2240/10010] Time 0.325 (0.327) Data 0.001 (0.002) Loss 2.0545 (1.7429) Prec@1 53.125 (60.160) Prec@5 80.469 (81.694) Epoch: [58][2250/10010] Time 0.336 (0.327) Data 0.001 (0.002) Loss 1.8154 (1.7430) Prec@1 60.938 (60.156) Prec@5 82.812 (81.696) Epoch: [58][2260/10010] Time 0.319 (0.327) Data 0.001 (0.002) Loss 1.8557 (1.7431) Prec@1 61.719 (60.157) Prec@5 77.344 (81.692) Epoch: [58][2270/10010] Time 0.325 (0.327) Data 0.001 (0.002) Loss 2.2200 (1.7437) Prec@1 56.250 (60.149) Prec@5 72.656 (81.682) Epoch: [58][2280/10010] Time 0.325 (0.327) Data 0.000 (0.002) Loss 1.7745 (1.7439) Prec@1 59.375 (60.142) Prec@5 81.250 (81.681) Epoch: [58][2290/10010] Time 0.342 (0.327) Data 0.001 (0.002) Loss 1.8254 (1.7437) Prec@1 57.031 (60.145) Prec@5 82.031 (81.684) Epoch: [58][2300/10010] Time 0.316 (0.327) Data 0.001 (0.002) Loss 1.6983 (1.7433) Prec@1 62.500 (60.154) Prec@5 80.469 (81.688) Epoch: [58][2310/10010] Time 0.315 (0.327) Data 0.001 (0.002) Loss 1.5746 (1.7432) Prec@1 59.375 (60.153) Prec@5 84.375 (81.686) Epoch: [58][2320/10010] Time 0.321 (0.327) Data 0.001 (0.002) Loss 1.5881 (1.7431) Prec@1 64.844 (60.158) Prec@5 85.156 (81.689) Epoch: [58][2330/10010] Time 0.315 (0.327) Data 0.000 (0.002) Loss 1.7227 (1.7435) Prec@1 60.938 (60.152) Prec@5 79.688 (81.682) Epoch: [58][2340/10010] Time 0.320 (0.327) Data 0.001 (0.002) Loss 1.9607 (1.7436) Prec@1 59.375 (60.150) Prec@5 74.219 (81.679) Epoch: [58][2350/10010] Time 0.330 (0.327) Data 0.001 (0.002) Loss 1.7281 (1.7437) Prec@1 56.250 (60.146) Prec@5 83.594 (81.679) Epoch: [58][2360/10010] Time 0.325 (0.327) Data 0.000 (0.002) Loss 1.6218 (1.7435) Prec@1 62.500 (60.155) Prec@5 84.375 (81.682) Epoch: [58][2370/10010] Time 0.333 (0.327) Data 0.001 (0.002) Loss 1.8740 (1.7435) Prec@1 60.938 (60.154) Prec@5 82.812 (81.687) Epoch: [58][2380/10010] Time 0.333 (0.327) Data 0.001 (0.002) Loss 1.9775 (1.7441) Prec@1 55.469 (60.142) Prec@5 79.688 (81.681) Epoch: [58][2390/10010] Time 0.342 (0.327) Data 0.000 (0.002) Loss 1.9135 (1.7445) Prec@1 56.250 (60.137) Prec@5 78.125 (81.678) Epoch: [58][2400/10010] Time 0.330 (0.327) Data 0.001 (0.002) Loss 1.7338 (1.7443) Prec@1 60.938 (60.142) Prec@5 80.469 (81.680) Epoch: [58][2410/10010] Time 0.340 (0.327) Data 0.001 (0.002) Loss 1.7108 (1.7439) Prec@1 64.062 (60.142) Prec@5 82.031 (81.689) Epoch: [58][2420/10010] Time 0.334 (0.327) Data 0.001 (0.002) Loss 2.0349 (1.7440) Prec@1 54.688 (60.138) Prec@5 75.000 (81.688) Epoch: [58][2430/10010] Time 0.325 (0.327) Data 0.001 (0.002) Loss 1.7620 (1.7440) Prec@1 60.938 (60.141) Prec@5 82.031 (81.689) Epoch: [58][2440/10010] Time 0.322 (0.327) Data 0.001 (0.002) Loss 2.2771 (1.7441) Prec@1 52.344 (60.142) Prec@5 75.000 (81.691) Epoch: [58][2450/10010] Time 0.326 (0.327) Data 0.001 (0.002) Loss 1.8631 (1.7443) Prec@1 57.031 (60.136) Prec@5 83.594 (81.685) Epoch: [58][2460/10010] Time 0.329 (0.327) Data 0.001 (0.002) Loss 1.5924 (1.7446) Prec@1 60.938 (60.130) Prec@5 83.594 (81.677) Epoch: [58][2470/10010] Time 0.327 (0.327) Data 0.001 (0.002) Loss 1.7165 (1.7445) Prec@1 55.469 (60.130) Prec@5 81.250 (81.672) Epoch: [58][2480/10010] Time 0.316 (0.327) Data 0.001 (0.002) Loss 1.6341 (1.7447) Prec@1 60.938 (60.125) Prec@5 85.938 (81.673) Epoch: [58][2490/10010] Time 0.338 (0.327) Data 0.001 (0.002) Loss 1.9360 (1.7449) Prec@1 50.000 (60.124) Prec@5 81.250 (81.672) Epoch: [58][2500/10010] Time 0.329 (0.327) Data 0.000 (0.002) Loss 1.5411 (1.7450) Prec@1 65.625 (60.122) Prec@5 82.812 (81.672) Epoch: [58][2510/10010] Time 0.338 (0.327) Data 0.000 (0.002) Loss 2.1269 (1.7451) Prec@1 58.594 (60.121) Prec@5 75.000 (81.672) Epoch: [58][2520/10010] Time 0.337 (0.327) Data 0.001 (0.002) Loss 2.1014 (1.7456) Prec@1 52.344 (60.113) Prec@5 76.562 (81.666) Epoch: [58][2530/10010] Time 0.318 (0.327) Data 0.001 (0.002) Loss 1.8765 (1.7459) Prec@1 56.250 (60.106) Prec@5 78.125 (81.663) Epoch: [58][2540/10010] Time 0.319 (0.327) Data 0.001 (0.002) Loss 1.6089 (1.7461) Prec@1 63.281 (60.099) Prec@5 88.281 (81.666) /data/vision/torralba/deepscene/lib/anaconda2/lib/python2.7/site-packages/PIL/TiffImagePlugin.py:692: UserWarning: Possibly corrupt EXIF data. Expecting to read 2555904 bytes but only got 0. Skipping tag 0 "Skipping tag %s" % (size, len(data), tag)) Epoch: [58][2550/10010] Time 0.312 (0.327) Data 0.001 (0.002) Loss 2.1311 (1.7463) Prec@1 54.688 (60.092) Prec@5 73.438 (81.660) Epoch: [58][2560/10010] Time 0.332 (0.327) Data 0.000 (0.002) Loss 1.8713 (1.7469) Prec@1 63.281 (60.083) Prec@5 80.469 (81.653) Epoch: [58][2570/10010] Time 0.331 (0.327) Data 0.001 (0.002) Loss 1.7914 (1.7468) Prec@1 57.812 (60.083) Prec@5 81.250 (81.656) Epoch: [58][2580/10010] Time 0.320 (0.327) Data 0.001 (0.002) Loss 1.6404 (1.7465) Prec@1 65.625 (60.087) Prec@5 79.688 (81.658) Epoch: [58][2590/10010] Time 0.334 (0.327) Data 0.001 (0.002) Loss 1.8342 (1.7463) Prec@1 57.031 (60.084) Prec@5 82.031 (81.665) Epoch: [58][2600/10010] Time 0.331 (0.327) Data 0.001 (0.002) Loss 1.6546 (1.7463) Prec@1 62.500 (60.086) Prec@5 85.156 (81.666) Epoch: [58][2610/10010] Time 0.324 (0.327) Data 0.001 (0.002) Loss 1.6141 (1.7466) Prec@1 67.188 (60.081) Prec@5 82.812 (81.659) Epoch: [58][2620/10010] Time 0.332 (0.327) Data 0.001 (0.002) Loss 1.7177 (1.7467) Prec@1 57.812 (60.080) Prec@5 78.906 (81.657) Epoch: [58][2630/10010] Time 0.320 (0.327) Data 0.000 (0.002) Loss 1.8457 (1.7467) Prec@1 55.469 (60.071) Prec@5 81.250 (81.660) Epoch: [58][2640/10010] Time 0.309 (0.327) Data 0.000 (0.002) Loss 2.1378 (1.7467) Prec@1 53.125 (60.072) Prec@5 78.125 (81.664) Epoch: [58][2650/10010] Time 0.342 (0.327) Data 0.001 (0.002) Loss 1.6893 (1.7468) Prec@1 61.719 (60.067) Prec@5 81.250 (81.662) Epoch: [58][2660/10010] Time 0.328 (0.327) Data 0.000 (0.002) Loss 1.8338 (1.7468) Prec@1 60.938 (60.066) Prec@5 75.781 (81.662) Epoch: [58][2670/10010] Time 0.321 (0.327) Data 0.000 (0.002) Loss 1.9249 (1.7468) Prec@1 56.250 (60.068) Prec@5 79.688 (81.659) Epoch: [58][2680/10010] Time 0.339 (0.327) Data 0.001 (0.002) Loss 1.4479 (1.7471) Prec@1 65.625 (60.063) Prec@5 85.938 (81.657) Epoch: [58][2690/10010] Time 0.317 (0.327) Data 0.001 (0.002) Loss 1.8679 (1.7473) Prec@1 56.250 (60.057) Prec@5 79.688 (81.656) Epoch: [58][2700/10010] Time 0.316 (0.327) Data 0.001 (0.002) Loss 2.2289 (1.7477) Prec@1 49.219 (60.047) Prec@5 75.000 (81.646) Epoch: [58][2710/10010] Time 0.335 (0.327) Data 0.000 (0.002) Loss 2.0700 (1.7480) Prec@1 47.656 (60.031) Prec@5 77.344 (81.639) Epoch: [58][2720/10010] Time 0.333 (0.327) Data 0.000 (0.002) Loss 1.7841 (1.7485) Prec@1 55.469 (60.025) Prec@5 78.906 (81.632) Epoch: [58][2730/10010] Time 0.329 (0.327) Data 0.000 (0.002) Loss 1.7443 (1.7483) Prec@1 64.062 (60.028) Prec@5 83.594 (81.636) Epoch: [58][2740/10010] Time 0.326 (0.327) Data 0.001 (0.002) Loss 1.7940 (1.7480) Prec@1 60.156 (60.032) Prec@5 79.688 (81.640) Epoch: [58][2750/10010] Time 0.326 (0.327) Data 0.001 (0.002) Loss 1.6677 (1.7485) Prec@1 65.625 (60.025) Prec@5 82.031 (81.633) Epoch: [58][2760/10010] Time 0.328 (0.327) Data 0.000 (0.002) Loss 1.6234 (1.7483) Prec@1 57.031 (60.025) Prec@5 84.375 (81.638) Epoch: [58][2770/10010] Time 0.319 (0.327) Data 0.001 (0.002) Loss 1.9596 (1.7481) Prec@1 53.906 (60.029) Prec@5 78.125 (81.642) Epoch: [58][2780/10010] Time 0.337 (0.327) Data 0.001 (0.002) Loss 1.8824 (1.7483) Prec@1 59.375 (60.026) Prec@5 76.562 (81.639) Epoch: [58][2790/10010] Time 0.329 (0.327) Data 0.000 (0.002) Loss 1.9583 (1.7482) Prec@1 55.469 (60.028) Prec@5 79.688 (81.641) Epoch: [58][2800/10010] Time 0.318 (0.327) Data 0.001 (0.002) Loss 2.1535 (1.7481) Prec@1 46.875 (60.032) Prec@5 77.344 (81.643) Epoch: [58][2810/10010] Time 0.328 (0.327) Data 0.001 (0.002) Loss 1.5872 (1.7483) Prec@1 60.938 (60.029) Prec@5 82.031 (81.641) Epoch: [58][2820/10010] Time 0.319 (0.327) Data 0.001 (0.002) Loss 1.5479 (1.7482) Prec@1 63.281 (60.031) Prec@5 85.156 (81.642) Epoch: [58][2830/10010] Time 0.335 (0.327) Data 0.001 (0.002) Loss 1.5395 (1.7482) Prec@1 64.844 (60.036) Prec@5 85.938 (81.643) Epoch: [58][2840/10010] Time 0.341 (0.327) Data 0.000 (0.002) Loss 1.8887 (1.7482) Prec@1 54.688 (60.036) Prec@5 80.469 (81.641) Epoch: [58][2850/10010] Time 0.333 (0.327) Data 0.001 (0.002) Loss 2.1813 (1.7482) Prec@1 51.562 (60.038) Prec@5 76.562 (81.637) Epoch: [58][2860/10010] Time 0.321 (0.327) Data 0.001 (0.002) Loss 1.9089 (1.7485) Prec@1 56.250 (60.031) Prec@5 81.250 (81.636) Epoch: [58][2870/10010] Time 0.333 (0.327) Data 0.000 (0.002) Loss 1.7485 (1.7485) Prec@1 63.281 (60.030) Prec@5 81.250 (81.637) Epoch: [58][2880/10010] Time 0.334 (0.327) Data 0.001 (0.002) Loss 1.7565 (1.7483) Prec@1 57.812 (60.033) Prec@5 79.688 (81.642) Epoch: [58][2890/10010] Time 0.331 (0.327) Data 0.001 (0.002) Loss 2.1313 (1.7483) Prec@1 54.688 (60.035) Prec@5 78.125 (81.644) Epoch: [58][2900/10010] Time 0.312 (0.327) Data 0.001 (0.002) Loss 1.8596 (1.7484) Prec@1 57.031 (60.029) Prec@5 80.469 (81.641) Epoch: [58][2910/10010] Time 0.312 (0.327) Data 0.001 (0.002) Loss 1.7751 (1.7486) Prec@1 54.688 (60.023) Prec@5 84.375 (81.639) Epoch: [58][2920/10010] Time 0.332 (0.327) Data 0.001 (0.002) Loss 1.8300 (1.7487) Prec@1 58.594 (60.020) Prec@5 81.250 (81.637) Epoch: [58][2930/10010] Time 0.334 (0.327) Data 0.001 (0.002) Loss 1.6636 (1.7490) Prec@1 61.719 (60.021) Prec@5 80.469 (81.627) Epoch: [58][2940/10010] Time 0.332 (0.327) Data 0.001 (0.002) Loss 1.7802 (1.7489) Prec@1 63.281 (60.024) Prec@5 79.688 (81.629) Epoch: [58][2950/10010] Time 0.331 (0.327) Data 0.001 (0.002) Loss 2.1091 (1.7491) Prec@1 54.688 (60.022) Prec@5 75.000 (81.625) Epoch: [58][2960/10010] Time 0.333 (0.327) Data 0.001 (0.002) Loss 1.6357 (1.7491) Prec@1 65.625 (60.021) Prec@5 83.594 (81.629) Epoch: [58][2970/10010] Time 0.323 (0.327) Data 0.001 (0.002) Loss 1.8228 (1.7495) Prec@1 62.500 (60.019) Prec@5 75.000 (81.621) Epoch: [58][2980/10010] Time 0.335 (0.327) Data 0.000 (0.002) Loss 1.6214 (1.7495) Prec@1 67.969 (60.018) Prec@5 85.938 (81.623) Epoch: [58][2990/10010] Time 0.339 (0.327) Data 0.001 (0.002) Loss 1.4321 (1.7495) Prec@1 64.844 (60.024) Prec@5 84.375 (81.623) Epoch: [58][3000/10010] Time 0.325 (0.327) Data 0.000 (0.002) Loss 1.6126 (1.7492) Prec@1 63.281 (60.026) Prec@5 84.375 (81.626) Epoch: [58][3010/10010] Time 0.333 (0.327) Data 0.000 (0.002) Loss 2.2634 (1.7498) Prec@1 49.219 (60.015) Prec@5 74.219 (81.617) Epoch: [58][3020/10010] Time 0.334 (0.327) Data 0.001 (0.002) Loss 1.5367 (1.7497) Prec@1 64.062 (60.014) Prec@5 82.031 (81.617) Epoch: [58][3030/10010] Time 0.316 (0.327) Data 0.001 (0.002) Loss 1.9163 (1.7499) Prec@1 57.031 (60.012) Prec@5 81.250 (81.617) Epoch: [58][3040/10010] Time 0.334 (0.327) Data 0.001 (0.002) Loss 1.8002 (1.7501) Prec@1 57.812 (60.008) Prec@5 82.031 (81.613) Epoch: [58][3050/10010] Time 0.325 (0.327) Data 0.001 (0.002) Loss 1.3746 (1.7498) Prec@1 63.281 (60.010) Prec@5 88.281 (81.614) Epoch: [58][3060/10010] Time 0.324 (0.327) Data 0.000 (0.002) Loss 1.6359 (1.7500) Prec@1 63.281 (60.000) Prec@5 87.500 (81.615) Epoch: [58][3070/10010] Time 0.318 (0.327) Data 0.000 (0.002) Loss 1.7413 (1.7502) Prec@1 60.156 (59.996) Prec@5 82.031 (81.616) Epoch: [58][3080/10010] Time 0.330 (0.327) Data 0.001 (0.002) Loss 1.4166 (1.7503) Prec@1 71.094 (59.993) Prec@5 85.156 (81.617) Epoch: [58][3090/10010] Time 0.330 (0.327) Data 0.001 (0.002) Loss 1.7681 (1.7505) Prec@1 61.719 (59.988) Prec@5 79.688 (81.610) Epoch: [58][3100/10010] Time 0.319 (0.327) Data 0.001 (0.002) Loss 1.4244 (1.7503) Prec@1 64.844 (59.992) Prec@5 89.844 (81.613) Epoch: [58][3110/10010] Time 0.335 (0.327) Data 0.000 (0.002) Loss 1.5368 (1.7505) Prec@1 60.156 (59.988) Prec@5 80.469 (81.611) Epoch: [58][3120/10010] Time 0.340 (0.327) Data 0.001 (0.002) Loss 1.9234 (1.7507) Prec@1 60.156 (59.988) Prec@5 78.906 (81.607) Epoch: [58][3130/10010] Time 0.329 (0.327) Data 0.001 (0.002) Loss 1.6618 (1.7509) Prec@1 57.031 (59.983) Prec@5 79.688 (81.602) Epoch: [58][3140/10010] Time 0.314 (0.327) Data 0.000 (0.002) Loss 2.1331 (1.7510) Prec@1 50.781 (59.979) Prec@5 81.250 (81.599) Epoch: [58][3150/10010] Time 0.332 (0.327) Data 0.001 (0.001) Loss 1.7296 (1.7509) Prec@1 62.500 (59.975) Prec@5 82.031 (81.601) Epoch: [58][3160/10010] Time 0.329 (0.327) Data 0.001 (0.001) Loss 1.6714 (1.7511) Prec@1 60.156 (59.972) Prec@5 85.938 (81.601) Epoch: [58][3170/10010] Time 0.329 (0.327) Data 0.001 (0.001) Loss 2.1780 (1.7512) Prec@1 52.344 (59.974) Prec@5 75.000 (81.601) Epoch: [58][3180/10010] Time 0.335 (0.327) Data 0.001 (0.001) Loss 2.1122 (1.7514) Prec@1 53.906 (59.968) Prec@5 76.562 (81.600) Epoch: [58][3190/10010] Time 0.328 (0.327) Data 0.001 (0.001) Loss 1.7070 (1.7515) Prec@1 57.812 (59.967) Prec@5 79.688 (81.600) Epoch: [58][3200/10010] Time 0.320 (0.327) Data 0.001 (0.001) Loss 2.1848 (1.7517) Prec@1 53.906 (59.966) Prec@5 73.438 (81.600) Epoch: [58][3210/10010] Time 0.317 (0.327) Data 0.001 (0.001) Loss 2.0762 (1.7516) Prec@1 55.469 (59.970) Prec@5 78.125 (81.602) Epoch: [58][3220/10010] Time 0.337 (0.327) Data 0.000 (0.001) Loss 1.4913 (1.7517) Prec@1 61.719 (59.970) Prec@5 83.594 (81.602) Epoch: [58][3230/10010] Time 0.322 (0.327) Data 0.001 (0.001) Loss 2.0122 (1.7518) Prec@1 48.438 (59.968) Prec@5 80.469 (81.601) Epoch: [58][3240/10010] Time 0.316 (0.327) Data 0.001 (0.001) Loss 1.7871 (1.7521) Prec@1 57.812 (59.965) Prec@5 81.250 (81.598) Epoch: [58][3250/10010] Time 0.324 (0.327) Data 0.000 (0.001) Loss 1.6344 (1.7521) Prec@1 60.938 (59.964) Prec@5 82.812 (81.598) Epoch: [58][3260/10010] Time 0.316 (0.327) Data 0.001 (0.001) Loss 1.5757 (1.7520) Prec@1 60.938 (59.967) Prec@5 82.031 (81.599) Epoch: [58][3270/10010] Time 0.321 (0.327) Data 0.001 (0.001) Loss 1.6005 (1.7518) Prec@1 62.500 (59.974) Prec@5 84.375 (81.603) Epoch: [58][3280/10010] Time 0.317 (0.327) Data 0.000 (0.001) Loss 2.0055 (1.7518) Prec@1 52.344 (59.976) Prec@5 77.344 (81.606) Epoch: [58][3290/10010] Time 0.325 (0.327) Data 0.001 (0.001) Loss 1.6665 (1.7514) Prec@1 66.406 (59.987) Prec@5 82.031 (81.610) Epoch: [58][3300/10010] Time 0.330 (0.327) Data 0.001 (0.001) Loss 1.7032 (1.7515) Prec@1 61.719 (59.990) Prec@5 82.031 (81.610) Epoch: [58][3310/10010] Time 0.317 (0.327) Data 0.000 (0.001) Loss 1.7486 (1.7514) Prec@1 61.719 (59.990) Prec@5 79.688 (81.609) Epoch: [58][3320/10010] Time 0.332 (0.327) Data 0.001 (0.001) Loss 1.8180 (1.7515) Prec@1 60.938 (59.992) Prec@5 81.250 (81.610) Epoch: [58][3330/10010] Time 0.319 (0.327) Data 0.001 (0.001) Loss 1.9060 (1.7516) Prec@1 56.250 (59.990) Prec@5 82.031 (81.607) Epoch: [58][3340/10010] Time 0.331 (0.327) Data 0.001 (0.001) Loss 1.7266 (1.7515) Prec@1 62.500 (59.993) Prec@5 80.469 (81.611) Epoch: [58][3350/10010] Time 0.329 (0.327) Data 0.000 (0.001) Loss 1.6833 (1.7513) Prec@1 57.812 (59.995) Prec@5 80.469 (81.613) Epoch: [58][3360/10010] Time 0.336 (0.327) Data 0.001 (0.001) Loss 1.8286 (1.7512) Prec@1 59.375 (59.996) Prec@5 79.688 (81.614) Epoch: [58][3370/10010] Time 0.328 (0.327) Data 0.000 (0.001) Loss 1.9236 (1.7511) Prec@1 64.844 (60.000) Prec@5 82.031 (81.615) Epoch: [58][3380/10010] Time 0.334 (0.327) Data 0.001 (0.001) Loss 1.7755 (1.7509) Prec@1 57.812 (60.005) Prec@5 84.375 (81.619) Epoch: [58][3390/10010] Time 0.328 (0.327) Data 0.000 (0.001) Loss 1.7343 (1.7508) Prec@1 62.500 (60.007) Prec@5 84.375 (81.622) Epoch: [58][3400/10010] Time 0.327 (0.327) Data 0.000 (0.001) Loss 1.3276 (1.7507) Prec@1 66.406 (60.002) Prec@5 89.844 (81.625) Epoch: [58][3410/10010] Time 0.335 (0.327) Data 0.000 (0.001) Loss 1.6991 (1.7508) Prec@1 61.719 (60.004) Prec@5 83.594 (81.625) Epoch: [58][3420/10010] Time 0.332 (0.327) Data 0.001 (0.001) Loss 1.6672 (1.7506) Prec@1 60.156 (60.005) Prec@5 85.156 (81.627) Epoch: [58][3430/10010] Time 0.339 (0.327) Data 0.000 (0.001) Loss 2.0226 (1.7507) Prec@1 54.688 (60.003) Prec@5 79.688 (81.625) Epoch: [58][3440/10010] Time 0.336 (0.327) Data 0.000 (0.001) Loss 1.6712 (1.7508) Prec@1 62.500 (60.001) Prec@5 82.031 (81.622) Epoch: [58][3450/10010] Time 0.315 (0.327) Data 0.001 (0.001) Loss 1.4298 (1.7507) Prec@1 63.281 (60.000) Prec@5 87.500 (81.620) Epoch: [58][3460/10010] Time 0.320 (0.327) Data 0.001 (0.001) Loss 2.0241 (1.7508) Prec@1 60.938 (59.997) Prec@5 77.344 (81.614) Epoch: [58][3470/10010] Time 0.315 (0.327) Data 0.001 (0.001) Loss 1.5239 (1.7508) Prec@1 64.062 (60.001) Prec@5 82.812 (81.611) Epoch: [58][3480/10010] Time 0.323 (0.327) Data 0.001 (0.001) Loss 1.8378 (1.7510) Prec@1 58.594 (59.996) Prec@5 79.688 (81.606) Epoch: [58][3490/10010] Time 0.327 (0.327) Data 0.001 (0.001) Loss 1.6673 (1.7511) Prec@1 57.812 (59.997) Prec@5 81.250 (81.604) Epoch: [58][3500/10010] Time 0.340 (0.327) Data 0.001 (0.001) Loss 2.0834 (1.7512) Prec@1 57.031 (59.994) Prec@5 73.438 (81.603) Epoch: [58][3510/10010] Time 0.325 (0.327) Data 0.001 (0.001) Loss 1.6363 (1.7510) Prec@1 64.844 (59.996) Prec@5 84.375 (81.604) Epoch: [58][3520/10010] Time 0.319 (0.327) Data 0.001 (0.001) Loss 1.7464 (1.7512) Prec@1 60.156 (59.994) Prec@5 80.469 (81.600) Epoch: [58][3530/10010] Time 0.318 (0.327) Data 0.001 (0.001) Loss 1.6543 (1.7513) Prec@1 64.062 (59.990) Prec@5 85.938 (81.601) Epoch: [58][3540/10010] Time 0.320 (0.327) Data 0.001 (0.001) Loss 1.5966 (1.7514) Prec@1 60.938 (59.992) Prec@5 85.156 (81.600) Epoch: [58][3550/10010] Time 0.332 (0.327) Data 0.000 (0.001) Loss 1.8666 (1.7514) Prec@1 56.250 (59.995) Prec@5 82.031 (81.601) Epoch: [58][3560/10010] Time 0.333 (0.327) Data 0.001 (0.001) Loss 1.7950 (1.7515) Prec@1 60.938 (59.998) Prec@5 81.250 (81.601) Epoch: [58][3570/10010] Time 0.341 (0.327) Data 0.000 (0.001) Loss 1.5188 (1.7515) Prec@1 67.969 (59.998) Prec@5 83.594 (81.600) Epoch: [58][3580/10010] Time 0.315 (0.327) Data 0.001 (0.001) Loss 1.9017 (1.7519) Prec@1 58.594 (59.993) Prec@5 78.125 (81.594) Epoch: [58][3590/10010] Time 0.329 (0.327) Data 0.001 (0.001) Loss 1.7148 (1.7520) Prec@1 64.844 (59.992) Prec@5 76.562 (81.591) Epoch: [58][3600/10010] Time 0.330 (0.327) Data 0.001 (0.001) Loss 1.9753 (1.7520) Prec@1 57.812 (59.996) Prec@5 77.344 (81.589) Epoch: [58][3610/10010] Time 0.335 (0.327) Data 0.001 (0.001) Loss 1.8666 (1.7523) Prec@1 59.375 (59.992) Prec@5 83.594 (81.586) Epoch: [58][3620/10010] Time 0.342 (0.327) Data 0.001 (0.001) Loss 1.5345 (1.7522) Prec@1 61.719 (59.994) Prec@5 83.594 (81.587) Epoch: [58][3630/10010] Time 0.327 (0.327) Data 0.000 (0.001) Loss 1.6141 (1.7522) Prec@1 65.625 (59.994) Prec@5 83.594 (81.590) Epoch: [58][3640/10010] Time 0.336 (0.327) Data 0.000 (0.001) Loss 1.7829 (1.7520) Prec@1 62.500 (59.999) Prec@5 78.906 (81.590) Epoch: [58][3650/10010] Time 0.313 (0.327) Data 0.001 (0.001) Loss 1.7540 (1.7522) Prec@1 60.938 (59.997) Prec@5 79.688 (81.587) Epoch: [58][3660/10010] Time 0.340 (0.327) Data 0.000 (0.001) Loss 1.6301 (1.7522) Prec@1 60.156 (59.996) Prec@5 84.375 (81.588) Epoch: [58][3670/10010] Time 0.321 (0.327) Data 0.000 (0.001) Loss 1.9668 (1.7523) Prec@1 57.812 (59.991) Prec@5 79.688 (81.587) Epoch: [58][3680/10010] Time 0.340 (0.327) Data 0.001 (0.001) Loss 1.9363 (1.7523) Prec@1 60.938 (59.996) Prec@5 77.344 (81.586) Epoch: [58][3690/10010] Time 0.331 (0.327) Data 0.000 (0.001) Loss 1.5621 (1.7525) Prec@1 61.719 (59.991) Prec@5 87.500 (81.584) Epoch: [58][3700/10010] Time 0.313 (0.327) Data 0.001 (0.001) Loss 1.7775 (1.7524) Prec@1 60.156 (59.996) Prec@5 82.812 (81.588) Epoch: [58][3710/10010] Time 0.336 (0.327) Data 0.000 (0.001) Loss 1.6391 (1.7526) Prec@1 67.188 (59.990) Prec@5 86.719 (81.584) Epoch: [58][3720/10010] Time 0.318 (0.327) Data 0.001 (0.001) Loss 1.6976 (1.7526) Prec@1 63.281 (59.991) Prec@5 82.812 (81.585) Epoch: [58][3730/10010] Time 0.335 (0.327) Data 0.001 (0.001) Loss 1.9172 (1.7529) Prec@1 54.688 (59.984) Prec@5 78.125 (81.578) Epoch: [58][3740/10010] Time 0.322 (0.327) Data 0.001 (0.001) Loss 1.5829 (1.7528) Prec@1 64.844 (59.988) Prec@5 84.375 (81.581) Epoch: [58][3750/10010] Time 0.329 (0.327) Data 0.001 (0.001) Loss 1.7473 (1.7528) Prec@1 64.844 (59.988) Prec@5 80.469 (81.579) Epoch: [58][3760/10010] Time 0.319 (0.327) Data 0.000 (0.001) Loss 1.8249 (1.7528) Prec@1 55.469 (59.984) Prec@5 77.344 (81.576) Epoch: [58][3770/10010] Time 0.337 (0.327) Data 0.000 (0.001) Loss 2.1647 (1.7529) Prec@1 46.875 (59.982) Prec@5 75.000 (81.575) Epoch: [58][3780/10010] Time 0.329 (0.327) Data 0.001 (0.001) Loss 2.1281 (1.7531) Prec@1 55.469 (59.978) Prec@5 78.125 (81.573) Epoch: [58][3790/10010] Time 0.320 (0.327) Data 0.001 (0.001) Loss 1.8298 (1.7529) Prec@1 57.812 (59.981) Prec@5 78.125 (81.572) Epoch: [58][3800/10010] Time 0.334 (0.327) Data 0.001 (0.001) Loss 1.6860 (1.7528) Prec@1 57.031 (59.983) Prec@5 82.812 (81.575) Epoch: [58][3810/10010] Time 0.330 (0.327) Data 0.000 (0.001) Loss 1.2308 (1.7526) Prec@1 70.312 (59.990) Prec@5 88.281 (81.580) Epoch: [58][3820/10010] Time 0.334 (0.327) Data 0.000 (0.001) Loss 1.7377 (1.7524) Prec@1 57.812 (59.994) Prec@5 80.469 (81.581) Epoch: [58][3830/10010] Time 0.339 (0.327) Data 0.000 (0.001) Loss 1.7923 (1.7523) Prec@1 60.938 (59.992) Prec@5 82.031 (81.582) Epoch: [58][3840/10010] Time 0.337 (0.327) Data 0.000 (0.001) Loss 1.6713 (1.7522) Prec@1 61.719 (59.992) Prec@5 84.375 (81.585) Epoch: [58][3850/10010] Time 0.319 (0.327) Data 0.001 (0.001) Loss 1.7656 (1.7523) Prec@1 57.031 (59.991) Prec@5 84.375 (81.585) Epoch: [58][3860/10010] Time 0.318 (0.327) Data 0.001 (0.001) Loss 1.6839 (1.7520) Prec@1 60.938 (59.998) Prec@5 85.156 (81.590) Epoch: [58][3870/10010] Time 0.319 (0.327) Data 0.001 (0.001) Loss 1.6104 (1.7520) Prec@1 61.719 (59.996) Prec@5 84.375 (81.592) Epoch: [58][3880/10010] Time 0.330 (0.327) Data 0.001 (0.001) Loss 1.9032 (1.7521) Prec@1 57.031 (59.998) Prec@5 77.344 (81.591) Epoch: [58][3890/10010] Time 0.319 (0.327) Data 0.001 (0.001) Loss 1.5701 (1.7521) Prec@1 64.062 (60.000) Prec@5 90.625 (81.591) Epoch: [58][3900/10010] Time 0.331 (0.327) Data 0.001 (0.001) Loss 1.6565 (1.7521) Prec@1 58.594 (60.001) Prec@5 85.938 (81.589) Epoch: [58][3910/10010] Time 0.342 (0.327) Data 0.001 (0.001) Loss 1.5505 (1.7518) Prec@1 60.156 (60.006) Prec@5 82.031 (81.590) Epoch: [58][3920/10010] Time 0.318 (0.327) Data 0.000 (0.001) Loss 2.0844 (1.7520) Prec@1 50.000 (60.004) Prec@5 79.688 (81.589) Epoch: [58][3930/10010] Time 0.330 (0.327) Data 0.001 (0.001) Loss 1.6095 (1.7521) Prec@1 62.500 (60.002) Prec@5 82.031 (81.587) Epoch: [58][3940/10010] Time 0.313 (0.327) Data 0.001 (0.001) Loss 1.9777 (1.7521) Prec@1 48.438 (59.998) Prec@5 75.781 (81.586) Epoch: [58][3950/10010] Time 0.317 (0.327) Data 0.001 (0.001) Loss 1.8727 (1.7521) Prec@1 57.812 (59.995) Prec@5 78.906 (81.583) Epoch: [58][3960/10010] Time 0.341 (0.327) Data 0.000 (0.001) Loss 1.5606 (1.7521) Prec@1 62.500 (60.000) Prec@5 84.375 (81.581) Epoch: [58][3970/10010] Time 0.314 (0.327) Data 0.001 (0.001) Loss 1.6342 (1.7522) Prec@1 64.844 (59.998) Prec@5 82.812 (81.578) Epoch: [58][3980/10010] Time 0.335 (0.327) Data 0.001 (0.001) Loss 1.4545 (1.7521) Prec@1 66.406 (60.009) Prec@5 85.156 (81.580) Epoch: [58][3990/10010] Time 0.317 (0.327) Data 0.001 (0.001) Loss 1.7069 (1.7524) Prec@1 65.625 (60.006) Prec@5 84.375 (81.578) Epoch: [58][4000/10010] Time 0.336 (0.327) Data 0.001 (0.001) Loss 1.6485 (1.7523) Prec@1 58.594 (60.004) Prec@5 84.375 (81.578) Epoch: [58][4010/10010] Time 0.335 (0.327) Data 0.001 (0.001) Loss 1.8732 (1.7522) Prec@1 55.469 (60.006) Prec@5 79.688 (81.581) Epoch: [58][4020/10010] Time 0.333 (0.327) Data 0.001 (0.001) Loss 1.6362 (1.7523) Prec@1 57.812 (60.005) Prec@5 81.250 (81.578) Epoch: [58][4030/10010] Time 0.332 (0.327) Data 0.001 (0.001) Loss 1.6834 (1.7525) Prec@1 58.594 (59.998) Prec@5 85.156 (81.575) Epoch: [58][4040/10010] Time 0.334 (0.327) Data 0.001 (0.001) Loss 1.4491 (1.7524) Prec@1 68.750 (60.000) Prec@5 85.156 (81.577) Epoch: [58][4050/10010] Time 0.325 (0.327) Data 0.001 (0.001) Loss 1.7934 (1.7524) Prec@1 52.344 (59.998) Prec@5 78.906 (81.573) Epoch: [58][4060/10010] Time 0.341 (0.327) Data 0.000 (0.001) Loss 1.8116 (1.7522) Prec@1 59.375 (60.005) Prec@5 80.469 (81.578) Epoch: [58][4070/10010] Time 0.311 (0.327) Data 0.001 (0.001) Loss 1.7401 (1.7524) Prec@1 60.156 (60.000) Prec@5 83.594 (81.575) Epoch: [58][4080/10010] Time 0.314 (0.327) Data 0.001 (0.001) Loss 1.7432 (1.7524) Prec@1 57.031 (59.999) Prec@5 82.031 (81.574) Epoch: [58][4090/10010] Time 0.313 (0.327) Data 0.001 (0.001) Loss 1.9786 (1.7524) Prec@1 57.812 (59.999) Prec@5 81.250 (81.577) Epoch: [58][4100/10010] Time 0.314 (0.327) Data 0.001 (0.001) Loss 1.8623 (1.7523) Prec@1 62.500 (60.001) Prec@5 74.219 (81.576) Epoch: [58][4110/10010] Time 0.339 (0.327) Data 0.001 (0.001) Loss 1.5264 (1.7524) Prec@1 66.406 (59.999) Prec@5 82.031 (81.576) Epoch: [58][4120/10010] Time 0.317 (0.327) Data 0.000 (0.001) Loss 1.7691 (1.7525) Prec@1 62.500 (59.996) Prec@5 82.031 (81.576) Epoch: [58][4130/10010] Time 0.335 (0.327) Data 0.001 (0.001) Loss 1.6461 (1.7524) Prec@1 63.281 (60.000) Prec@5 81.250 (81.578) Epoch: [58][4140/10010] Time 0.319 (0.327) Data 0.001 (0.001) Loss 2.0054 (1.7524) Prec@1 57.031 (60.002) Prec@5 75.000 (81.574) Epoch: [58][4150/10010] Time 0.322 (0.327) Data 0.000 (0.001) Loss 1.7713 (1.7526) Prec@1 53.906 (59.999) Prec@5 80.469 (81.570) Epoch: [58][4160/10010] Time 0.334 (0.327) Data 0.001 (0.001) Loss 1.4769 (1.7524) Prec@1 68.750 (60.004) Prec@5 85.938 (81.573) Epoch: [58][4170/10010] Time 0.322 (0.327) Data 0.001 (0.001) Loss 2.1668 (1.7526) Prec@1 53.906 (60.001) Prec@5 73.438 (81.569) Epoch: [58][4180/10010] Time 0.323 (0.327) Data 0.000 (0.001) Loss 2.3117 (1.7527) Prec@1 50.000 (60.002) Prec@5 71.875 (81.569) Epoch: [58][4190/10010] Time 0.322 (0.327) Data 0.000 (0.001) Loss 1.8194 (1.7529) Prec@1 57.812 (59.997) Prec@5 78.125 (81.567) Epoch: [58][4200/10010] Time 0.335 (0.327) Data 0.001 (0.001) Loss 1.6287 (1.7530) Prec@1 60.156 (59.996) Prec@5 85.156 (81.565) Epoch: [58][4210/10010] Time 0.318 (0.327) Data 0.001 (0.001) Loss 1.6457 (1.7529) Prec@1 62.500 (59.995) Prec@5 84.375 (81.566) Epoch: [58][4220/10010] Time 0.318 (0.327) Data 0.001 (0.001) Loss 1.7116 (1.7529) Prec@1 65.625 (59.992) Prec@5 85.156 (81.569) Epoch: [58][4230/10010] Time 0.331 (0.327) Data 0.001 (0.001) Loss 1.6719 (1.7528) Prec@1 62.500 (59.994) Prec@5 85.938 (81.571) Epoch: [58][4240/10010] Time 0.320 (0.327) Data 0.000 (0.001) Loss 1.8739 (1.7528) Prec@1 61.719 (59.992) Prec@5 81.250 (81.572) Epoch: [58][4250/10010] Time 0.320 (0.327) Data 0.001 (0.001) Loss 1.7546 (1.7528) Prec@1 59.375 (59.990) Prec@5 80.469 (81.575) Epoch: [58][4260/10010] Time 0.322 (0.327) Data 0.001 (0.001) Loss 1.7492 (1.7526) Prec@1 64.844 (59.991) Prec@5 82.031 (81.578) Epoch: [58][4270/10010] Time 0.314 (0.327) Data 0.001 (0.001) Loss 1.5656 (1.7525) Prec@1 61.719 (59.991) Prec@5 82.031 (81.581) Epoch: [58][4280/10010] Time 0.331 (0.327) Data 0.001 (0.001) Loss 1.8340 (1.7526) Prec@1 57.812 (59.993) Prec@5 80.469 (81.579) Epoch: [58][4290/10010] Time 0.319 (0.327) Data 0.001 (0.001) Loss 1.9681 (1.7527) Prec@1 53.125 (59.989) Prec@5 80.469 (81.577) Epoch: [58][4300/10010] Time 0.319 (0.327) Data 0.001 (0.001) Loss 1.9208 (1.7528) Prec@1 59.375 (59.991) Prec@5 78.125 (81.574) Epoch: [58][4310/10010] Time 0.339 (0.327) Data 0.001 (0.001) Loss 1.8508 (1.7529) Prec@1 60.938 (59.992) Prec@5 75.781 (81.572) Epoch: [58][4320/10010] Time 0.324 (0.327) Data 0.000 (0.001) Loss 1.8269 (1.7531) Prec@1 57.812 (59.986) Prec@5 78.125 (81.569) Epoch: [58][4330/10010] Time 0.332 (0.327) Data 0.001 (0.001) Loss 2.0477 (1.7531) Prec@1 54.688 (59.986) Prec@5 78.906 (81.571) Epoch: [58][4340/10010] Time 0.330 (0.327) Data 0.001 (0.001) Loss 1.7401 (1.7534) Prec@1 54.688 (59.981) Prec@5 85.938 (81.568) Epoch: [58][4350/10010] Time 0.324 (0.327) Data 0.000 (0.001) Loss 1.9148 (1.7536) Prec@1 56.250 (59.980) Prec@5 76.562 (81.563) Epoch: [58][4360/10010] Time 0.338 (0.327) Data 0.001 (0.001) Loss 2.0146 (1.7535) Prec@1 54.688 (59.977) Prec@5 75.781 (81.563) Epoch: [58][4370/10010] Time 0.317 (0.327) Data 0.001 (0.001) Loss 1.6675 (1.7536) Prec@1 65.625 (59.979) Prec@5 82.812 (81.562) Epoch: [58][4380/10010] Time 0.318 (0.327) Data 0.001 (0.001) Loss 1.7001 (1.7536) Prec@1 62.500 (59.979) Prec@5 84.375 (81.560) Epoch: [58][4390/10010] Time 0.320 (0.327) Data 0.001 (0.001) Loss 1.7384 (1.7536) Prec@1 62.500 (59.985) Prec@5 84.375 (81.561) Epoch: [58][4400/10010] Time 0.311 (0.327) Data 0.001 (0.001) Loss 1.9863 (1.7534) Prec@1 57.812 (59.988) Prec@5 78.125 (81.563) Epoch: [58][4410/10010] Time 0.333 (0.327) Data 0.001 (0.001) Loss 1.7395 (1.7535) Prec@1 65.625 (59.989) Prec@5 80.469 (81.565) Epoch: [58][4420/10010] Time 0.315 (0.327) Data 0.000 (0.001) Loss 1.4457 (1.7537) Prec@1 65.625 (59.986) Prec@5 85.938 (81.560) Epoch: [58][4430/10010] Time 0.324 (0.327) Data 0.001 (0.001) Loss 1.9252 (1.7538) Prec@1 51.562 (59.984) Prec@5 79.688 (81.559) Epoch: [58][4440/10010] Time 0.323 (0.327) Data 0.001 (0.001) Loss 1.8509 (1.7538) Prec@1 60.156 (59.983) Prec@5 76.562 (81.559) Epoch: [58][4450/10010] Time 0.320 (0.327) Data 0.000 (0.001) Loss 1.7548 (1.7539) Prec@1 56.250 (59.979) Prec@5 78.906 (81.558) Epoch: [58][4460/10010] Time 0.319 (0.327) Data 0.001 (0.001) Loss 1.6868 (1.7536) Prec@1 62.500 (59.983) Prec@5 85.156 (81.561) Epoch: [58][4470/10010] Time 0.322 (0.327) Data 0.000 (0.001) Loss 1.7034 (1.7535) Prec@1 60.938 (59.985) Prec@5 82.812 (81.561) Epoch: [58][4480/10010] Time 0.329 (0.327) Data 0.000 (0.001) Loss 1.9621 (1.7535) Prec@1 57.031 (59.989) Prec@5 80.469 (81.562) Epoch: [58][4490/10010] Time 0.321 (0.327) Data 0.000 (0.001) Loss 1.7152 (1.7536) Prec@1 58.594 (59.985) Prec@5 82.812 (81.558) Epoch: [58][4500/10010] Time 0.319 (0.327) Data 0.000 (0.001) Loss 1.5083 (1.7535) Prec@1 66.406 (59.986) Prec@5 83.594 (81.560) Epoch: [58][4510/10010] Time 0.320 (0.327) Data 0.001 (0.001) Loss 2.0077 (1.7537) Prec@1 60.156 (59.984) Prec@5 82.812 (81.558) Epoch: [58][4520/10010] Time 0.328 (0.327) Data 0.000 (0.001) Loss 1.8529 (1.7539) Prec@1 57.031 (59.979) Prec@5 80.469 (81.556) Epoch: [58][4530/10010] Time 0.335 (0.327) Data 0.001 (0.001) Loss 1.6238 (1.7538) Prec@1 62.500 (59.981) Prec@5 80.469 (81.556) Epoch: [58][4540/10010] Time 0.336 (0.327) Data 0.001 (0.001) Loss 2.0468 (1.7537) Prec@1 55.469 (59.981) Prec@5 73.438 (81.555) Epoch: [58][4550/10010] Time 0.334 (0.327) Data 0.000 (0.001) Loss 1.7458 (1.7539) Prec@1 57.812 (59.974) Prec@5 82.031 (81.552) Epoch: [58][4560/10010] Time 0.326 (0.327) Data 0.001 (0.001) Loss 1.8595 (1.7540) Prec@1 60.156 (59.973) Prec@5 79.688 (81.550) Epoch: [58][4570/10010] Time 0.316 (0.327) Data 0.000 (0.001) Loss 1.4100 (1.7541) Prec@1 64.844 (59.973) Prec@5 87.500 (81.550) Epoch: [58][4580/10010] Time 0.336 (0.327) Data 0.000 (0.001) Loss 1.7846 (1.7544) Prec@1 60.156 (59.971) Prec@5 80.469 (81.544) Epoch: [58][4590/10010] Time 0.318 (0.327) Data 0.001 (0.001) Loss 1.4660 (1.7542) Prec@1 64.844 (59.975) Prec@5 82.812 (81.546) Epoch: [58][4600/10010] Time 0.334 (0.327) Data 0.001 (0.001) Loss 1.5039 (1.7542) Prec@1 71.094 (59.976) Prec@5 85.938 (81.546) Epoch: [58][4610/10010] Time 0.337 (0.327) Data 0.001 (0.001) Loss 1.6852 (1.7543) Prec@1 57.031 (59.975) Prec@5 80.469 (81.545) Epoch: [58][4620/10010] Time 0.327 (0.327) Data 0.001 (0.001) Loss 1.6360 (1.7541) Prec@1 62.500 (59.977) Prec@5 85.938 (81.549) Epoch: [58][4630/10010] Time 0.322 (0.327) Data 0.001 (0.001) Loss 1.7839 (1.7542) Prec@1 60.156 (59.972) Prec@5 80.469 (81.547) Epoch: [58][4640/10010] Time 0.315 (0.327) Data 0.000 (0.001) Loss 1.8272 (1.7543) Prec@1 61.719 (59.973) Prec@5 82.812 (81.547) Epoch: [58][4650/10010] Time 0.332 (0.327) Data 0.000 (0.001) Loss 1.8133 (1.7543) Prec@1 60.156 (59.975) Prec@5 79.688 (81.544) Epoch: [58][4660/10010] Time 0.333 (0.327) Data 0.001 (0.001) Loss 1.8030 (1.7544) Prec@1 58.594 (59.973) Prec@5 81.250 (81.542) Epoch: [58][4670/10010] Time 0.338 (0.327) Data 0.001 (0.001) Loss 1.7473 (1.7543) Prec@1 60.938 (59.973) Prec@5 83.594 (81.545) Epoch: [58][4680/10010] Time 0.331 (0.327) Data 0.001 (0.001) Loss 1.7028 (1.7542) Prec@1 62.500 (59.977) Prec@5 84.375 (81.548) Epoch: [58][4690/10010] Time 0.341 (0.327) Data 0.001 (0.001) Loss 1.4668 (1.7540) Prec@1 65.625 (59.983) Prec@5 83.594 (81.553) Epoch: [58][4700/10010] Time 0.335 (0.327) Data 0.001 (0.001) Loss 1.6265 (1.7540) Prec@1 59.375 (59.983) Prec@5 82.812 (81.552) Epoch: [58][4710/10010] Time 0.335 (0.327) Data 0.001 (0.001) Loss 1.6503 (1.7540) Prec@1 60.156 (59.979) Prec@5 83.594 (81.553) Epoch: [58][4720/10010] Time 0.337 (0.327) Data 0.000 (0.001) Loss 1.9862 (1.7540) Prec@1 57.031 (59.979) Prec@5 76.562 (81.553) Epoch: [58][4730/10010] Time 0.339 (0.327) Data 0.001 (0.001) Loss 1.5660 (1.7539) Prec@1 67.188 (59.981) Prec@5 85.938 (81.556) Epoch: [58][4740/10010] Time 0.333 (0.327) Data 0.000 (0.001) Loss 2.1406 (1.7537) Prec@1 57.031 (59.986) Prec@5 73.438 (81.556) Epoch: [58][4750/10010] Time 0.315 (0.327) Data 0.001 (0.001) Loss 1.7865 (1.7541) Prec@1 61.719 (59.981) Prec@5 78.906 (81.552) Epoch: [58][4760/10010] Time 0.333 (0.327) Data 0.000 (0.001) Loss 1.8793 (1.7541) Prec@1 60.156 (59.982) Prec@5 76.562 (81.550) Epoch: [58][4770/10010] Time 0.309 (0.327) Data 0.001 (0.001) Loss 1.8656 (1.7540) Prec@1 55.469 (59.984) Prec@5 82.031 (81.554) Epoch: [58][4780/10010] Time 0.322 (0.327) Data 0.000 (0.001) Loss 1.8788 (1.7541) Prec@1 56.250 (59.982) Prec@5 81.250 (81.554) Epoch: [58][4790/10010] Time 0.318 (0.327) Data 0.001 (0.001) Loss 1.7637 (1.7542) Prec@1 64.844 (59.980) Prec@5 81.250 (81.554) Epoch: [58][4800/10010] Time 0.333 (0.327) Data 0.000 (0.001) Loss 1.7826 (1.7541) Prec@1 57.812 (59.979) Prec@5 82.031 (81.555) Epoch: [58][4810/10010] Time 0.328 (0.327) Data 0.000 (0.001) Loss 1.2674 (1.7540) Prec@1 70.312 (59.982) Prec@5 88.281 (81.558) Epoch: [58][4820/10010] Time 0.334 (0.327) Data 0.001 (0.001) Loss 1.8948 (1.7540) Prec@1 59.375 (59.983) Prec@5 75.781 (81.556) Epoch: [58][4830/10010] Time 0.340 (0.327) Data 0.001 (0.001) Loss 1.9178 (1.7540) Prec@1 64.844 (59.986) Prec@5 76.562 (81.555) Epoch: [58][4840/10010] Time 0.320 (0.327) Data 0.001 (0.001) Loss 1.5162 (1.7540) Prec@1 67.188 (59.986) Prec@5 85.156 (81.555) Epoch: [58][4850/10010] Time 0.317 (0.327) Data 0.001 (0.001) Loss 1.8832 (1.7541) Prec@1 52.344 (59.985) Prec@5 82.031 (81.556) Epoch: [58][4860/10010] Time 0.328 (0.327) Data 0.001 (0.001) Loss 1.5413 (1.7540) Prec@1 55.469 (59.983) Prec@5 88.281 (81.557) Epoch: [58][4870/10010] Time 0.319 (0.327) Data 0.001 (0.001) Loss 1.7287 (1.7539) Prec@1 57.812 (59.987) Prec@5 80.469 (81.557) Epoch: [58][4880/10010] Time 0.314 (0.327) Data 0.001 (0.001) Loss 1.7004 (1.7539) Prec@1 63.281 (59.987) Prec@5 82.812 (81.559) Epoch: [58][4890/10010] Time 0.328 (0.327) Data 0.000 (0.001) Loss 1.8082 (1.7541) Prec@1 59.375 (59.985) Prec@5 79.688 (81.556) Epoch: [58][4900/10010] Time 0.332 (0.327) Data 0.001 (0.001) Loss 1.6531 (1.7541) Prec@1 62.500 (59.985) Prec@5 85.156 (81.555) Epoch: [58][4910/10010] Time 0.317 (0.327) Data 0.000 (0.001) Loss 1.6889 (1.7544) Prec@1 64.844 (59.979) Prec@5 82.031 (81.549) Epoch: [58][4920/10010] Time 0.332 (0.327) Data 0.001 (0.001) Loss 1.9278 (1.7545) Prec@1 56.250 (59.978) Prec@5 78.125 (81.549) Epoch: [58][4930/10010] Time 0.323 (0.327) Data 0.000 (0.001) Loss 1.8136 (1.7546) Prec@1 61.719 (59.975) Prec@5 80.469 (81.547) Epoch: [58][4940/10010] Time 0.339 (0.327) Data 0.000 (0.001) Loss 2.1776 (1.7546) Prec@1 50.781 (59.975) Prec@5 75.781 (81.548) Epoch: [58][4950/10010] Time 0.313 (0.327) Data 0.001 (0.001) Loss 1.7178 (1.7546) Prec@1 56.250 (59.974) Prec@5 85.156 (81.548) Epoch: [58][4960/10010] Time 0.329 (0.327) Data 0.001 (0.001) Loss 1.4230 (1.7546) Prec@1 66.406 (59.972) Prec@5 89.062 (81.546) Epoch: [58][4970/10010] Time 0.340 (0.327) Data 0.001 (0.001) Loss 1.9480 (1.7547) Prec@1 60.156 (59.969) Prec@5 78.125 (81.546) Epoch: [58][4980/10010] Time 0.313 (0.327) Data 0.001 (0.001) Loss 1.6764 (1.7547) Prec@1 62.500 (59.970) Prec@5 82.812 (81.544) Epoch: [58][4990/10010] Time 0.344 (0.327) Data 0.000 (0.001) Loss 1.9539 (1.7549) Prec@1 59.375 (59.966) Prec@5 79.688 (81.540) Epoch: [58][5000/10010] Time 0.341 (0.327) Data 0.001 (0.001) Loss 1.5608 (1.7547) Prec@1 59.375 (59.970) Prec@5 86.719 (81.543) Epoch: [58][5010/10010] Time 0.315 (0.327) Data 0.001 (0.001) Loss 1.9027 (1.7547) Prec@1 57.812 (59.968) Prec@5 78.125 (81.542) Epoch: [58][5020/10010] Time 0.316 (0.327) Data 0.001 (0.001) Loss 2.0804 (1.7550) Prec@1 46.875 (59.963) Prec@5 74.219 (81.539) /data/vision/torralba/deepscene/lib/anaconda2/lib/python2.7/site-packages/PIL/TiffImagePlugin.py:692: UserWarning: Possibly corrupt EXIF data. Expecting to read 2555904 bytes but only got 0. Skipping tag 0 "Skipping tag %s" % (size, len(data), tag)) Epoch: [58][5030/10010] Time 0.329 (0.327) Data 0.001 (0.001) Loss 1.8082 (1.7549) Prec@1 60.938 (59.963) Prec@5 79.688 (81.542) Epoch: [58][5040/10010] Time 0.320 (0.327) Data 0.000 (0.001) Loss 1.8787 (1.7551) Prec@1 54.688 (59.959) Prec@5 79.688 (81.538) Epoch: [58][5050/10010] Time 0.322 (0.327) Data 0.001 (0.001) Loss 1.9254 (1.7552) Prec@1 55.469 (59.956) Prec@5 81.250 (81.536) Epoch: [58][5060/10010] Time 0.325 (0.327) Data 0.000 (0.001) Loss 1.7592 (1.7553) Prec@1 57.031 (59.953) Prec@5 80.469 (81.534) Epoch: [58][5070/10010] Time 0.327 (0.327) Data 0.000 (0.001) Loss 1.6377 (1.7553) Prec@1 65.625 (59.956) Prec@5 81.250 (81.535) Epoch: [58][5080/10010] Time 0.329 (0.327) Data 0.001 (0.001) Loss 1.5745 (1.7553) Prec@1 64.062 (59.959) Prec@5 83.594 (81.536) Epoch: [58][5090/10010] Time 0.317 (0.327) Data 0.001 (0.001) Loss 1.4807 (1.7552) Prec@1 66.406 (59.962) Prec@5 86.719 (81.540) Epoch: [58][5100/10010] Time 0.327 (0.327) Data 0.000 (0.001) Loss 1.7938 (1.7551) Prec@1 62.500 (59.963) Prec@5 81.250 (81.539) Epoch: [58][5110/10010] Time 0.323 (0.327) Data 0.001 (0.001) Loss 1.5688 (1.7552) Prec@1 71.094 (59.962) Prec@5 84.375 (81.538) Epoch: [58][5120/10010] Time 0.334 (0.327) Data 0.001 (0.001) Loss 1.8610 (1.7553) Prec@1 57.812 (59.964) Prec@5 76.562 (81.535) Epoch: [58][5130/10010] Time 0.320 (0.327) Data 0.001 (0.001) Loss 1.9860 (1.7554) Prec@1 59.375 (59.965) Prec@5 75.000 (81.532) Epoch: [58][5140/10010] Time 0.319 (0.327) Data 0.000 (0.001) Loss 1.8645 (1.7554) Prec@1 59.375 (59.965) Prec@5 78.906 (81.530) Epoch: [58][5150/10010] Time 0.330 (0.327) Data 0.000 (0.001) Loss 1.7280 (1.7557) Prec@1 60.156 (59.966) Prec@5 84.375 (81.527) Epoch: [58][5160/10010] Time 0.319 (0.327) Data 0.001 (0.001) Loss 1.9433 (1.7559) Prec@1 53.125 (59.961) Prec@5 78.125 (81.524) Epoch: [58][5170/10010] Time 0.322 (0.327) Data 0.001 (0.001) Loss 1.8497 (1.7561) Prec@1 58.594 (59.957) Prec@5 78.125 (81.520) Epoch: [58][5180/10010] Time 0.316 (0.327) Data 0.001 (0.001) Loss 1.9441 (1.7563) Prec@1 59.375 (59.953) Prec@5 72.656 (81.517) Epoch: [58][5190/10010] Time 0.315 (0.327) Data 0.001 (0.001) Loss 1.6316 (1.7564) Prec@1 60.938 (59.952) Prec@5 82.031 (81.516) Epoch: [58][5200/10010] Time 0.339 (0.327) Data 0.000 (0.001) Loss 1.5952 (1.7564) Prec@1 60.938 (59.951) Prec@5 85.156 (81.516) Epoch: [58][5210/10010] Time 0.338 (0.327) Data 0.000 (0.001) Loss 1.6450 (1.7566) Prec@1 59.375 (59.948) Prec@5 84.375 (81.515) Epoch: [58][5220/10010] Time 0.340 (0.327) Data 0.001 (0.001) Loss 1.4707 (1.7567) Prec@1 64.844 (59.946) Prec@5 86.719 (81.514) Epoch: [58][5230/10010] Time 0.322 (0.327) Data 0.001 (0.001) Loss 1.8213 (1.7568) Prec@1 60.156 (59.944) Prec@5 77.344 (81.512) Epoch: [58][5240/10010] Time 0.320 (0.327) Data 0.000 (0.001) Loss 1.3840 (1.7569) Prec@1 70.312 (59.943) Prec@5 83.594 (81.508) Epoch: [58][5250/10010] Time 0.337 (0.327) Data 0.001 (0.001) Loss 1.3052 (1.7568) Prec@1 65.625 (59.945) Prec@5 86.719 (81.509) Epoch: [58][5260/10010] Time 0.334 (0.327) Data 0.000 (0.001) Loss 1.9984 (1.7568) Prec@1 55.469 (59.943) Prec@5 79.688 (81.510) Epoch: [58][5270/10010] Time 0.342 (0.327) Data 0.001 (0.001) Loss 1.5725 (1.7567) Prec@1 67.188 (59.946) Prec@5 84.375 (81.511) Epoch: [58][5280/10010] Time 0.338 (0.327) Data 0.000 (0.001) Loss 1.8436 (1.7568) Prec@1 56.250 (59.943) Prec@5 82.031 (81.510) Epoch: [58][5290/10010] Time 0.330 (0.327) Data 0.001 (0.001) Loss 2.1382 (1.7568) Prec@1 58.594 (59.942) Prec@5 78.906 (81.510) Epoch: [58][5300/10010] Time 0.332 (0.327) Data 0.001 (0.001) Loss 1.9323 (1.7569) Prec@1 57.031 (59.940) Prec@5 76.562 (81.508) Epoch: [58][5310/10010] Time 0.342 (0.327) Data 0.001 (0.001) Loss 1.8115 (1.7571) Prec@1 57.812 (59.938) Prec@5 82.031 (81.506) Epoch: [58][5320/10010] Time 0.320 (0.327) Data 0.000 (0.001) Loss 1.5303 (1.7569) Prec@1 61.719 (59.941) Prec@5 88.281 (81.510) Epoch: [58][5330/10010] Time 0.314 (0.327) Data 0.001 (0.001) Loss 1.8070 (1.7569) Prec@1 56.250 (59.940) Prec@5 78.125 (81.509) Epoch: [58][5340/10010] Time 0.328 (0.327) Data 0.001 (0.001) Loss 1.7204 (1.7568) Prec@1 55.469 (59.941) Prec@5 86.719 (81.512) Epoch: [58][5350/10010] Time 0.337 (0.327) Data 0.001 (0.001) Loss 1.7310 (1.7569) Prec@1 61.719 (59.938) Prec@5 81.250 (81.510) Epoch: [58][5360/10010] Time 0.339 (0.327) Data 0.000 (0.001) Loss 1.6168 (1.7568) Prec@1 62.500 (59.942) Prec@5 85.156 (81.511) Epoch: [58][5370/10010] Time 0.324 (0.327) Data 0.001 (0.001) Loss 2.2357 (1.7568) Prec@1 52.344 (59.938) Prec@5 69.531 (81.510) Epoch: [58][5380/10010] Time 0.317 (0.327) Data 0.001 (0.001) Loss 1.9244 (1.7571) Prec@1 57.031 (59.934) Prec@5 78.125 (81.506) Epoch: [58][5390/10010] Time 0.337 (0.327) Data 0.001 (0.001) Loss 1.7789 (1.7570) Prec@1 60.938 (59.934) Prec@5 83.594 (81.507) Epoch: [58][5400/10010] Time 0.339 (0.327) Data 0.001 (0.001) Loss 1.7881 (1.7569) Prec@1 61.719 (59.932) Prec@5 82.031 (81.510) Epoch: [58][5410/10010] Time 0.338 (0.327) Data 0.000 (0.001) Loss 1.8808 (1.7569) Prec@1 57.812 (59.931) Prec@5 79.688 (81.509) Epoch: [58][5420/10010] Time 0.331 (0.327) Data 0.001 (0.001) Loss 1.7353 (1.7568) Prec@1 62.500 (59.932) Prec@5 81.250 (81.510) Epoch: [58][5430/10010] Time 0.339 (0.327) Data 0.000 (0.001) Loss 1.2797 (1.7569) Prec@1 68.750 (59.930) Prec@5 87.500 (81.510) Epoch: [58][5440/10010] Time 0.338 (0.327) Data 0.001 (0.001) Loss 2.1760 (1.7571) Prec@1 60.938 (59.926) Prec@5 72.656 (81.504) Epoch: [58][5450/10010] Time 0.309 (0.327) Data 0.001 (0.001) Loss 1.8109 (1.7573) Prec@1 60.156 (59.922) Prec@5 83.594 (81.503) Epoch: [58][5460/10010] Time 0.319 (0.327) Data 0.001 (0.001) Loss 1.8325 (1.7573) Prec@1 53.906 (59.920) Prec@5 80.469 (81.502) Epoch: [58][5470/10010] Time 0.326 (0.327) Data 0.001 (0.001) Loss 1.7839 (1.7571) Prec@1 55.469 (59.924) Prec@5 81.250 (81.505) Epoch: [58][5480/10010] Time 0.332 (0.327) Data 0.001 (0.001) Loss 1.5327 (1.7571) Prec@1 65.625 (59.925) Prec@5 82.031 (81.504) Epoch: [58][5490/10010] Time 0.332 (0.327) Data 0.001 (0.001) Loss 2.0000 (1.7574) Prec@1 58.594 (59.921) Prec@5 78.125 (81.500) Epoch: [58][5500/10010] Time 0.332 (0.327) Data 0.000 (0.001) Loss 1.6867 (1.7573) Prec@1 60.156 (59.921) Prec@5 85.938 (81.502) Epoch: [58][5510/10010] Time 0.317 (0.327) Data 0.001 (0.001) Loss 1.8897 (1.7574) Prec@1 59.375 (59.920) Prec@5 79.688 (81.501) Epoch: [58][5520/10010] Time 0.333 (0.327) Data 0.001 (0.001) Loss 2.1314 (1.7574) Prec@1 54.688 (59.922) Prec@5 75.000 (81.501) Epoch: [58][5530/10010] Time 0.337 (0.327) Data 0.001 (0.001) Loss 1.6704 (1.7573) Prec@1 61.719 (59.923) Prec@5 82.812 (81.503) Epoch: [58][5540/10010] Time 0.317 (0.327) Data 0.001 (0.001) Loss 1.5411 (1.7572) Prec@1 67.969 (59.925) Prec@5 82.031 (81.505) Epoch: [58][5550/10010] Time 0.338 (0.327) Data 0.001 (0.001) Loss 1.7304 (1.7572) Prec@1 58.594 (59.924) Prec@5 84.375 (81.504) Epoch: [58][5560/10010] Time 0.325 (0.327) Data 0.001 (0.001) Loss 1.7713 (1.7572) Prec@1 58.594 (59.925) Prec@5 85.156 (81.507) Epoch: [58][5570/10010] Time 0.338 (0.327) Data 0.001 (0.001) Loss 1.8749 (1.7573) Prec@1 54.688 (59.925) Prec@5 80.469 (81.505) Epoch: [58][5580/10010] Time 0.315 (0.327) Data 0.001 (0.001) Loss 1.7281 (1.7574) Prec@1 61.719 (59.923) Prec@5 78.906 (81.501) Epoch: [58][5590/10010] Time 0.315 (0.327) Data 0.001 (0.001) Loss 2.0260 (1.7575) Prec@1 53.906 (59.921) Prec@5 78.906 (81.504) Epoch: [58][5600/10010] Time 0.318 (0.327) Data 0.003 (0.001) Loss 2.1220 (1.7574) Prec@1 47.656 (59.922) Prec@5 75.781 (81.505) Epoch: [58][5610/10010] Time 0.319 (0.327) Data 0.001 (0.001) Loss 1.8009 (1.7574) Prec@1 57.812 (59.922) Prec@5 82.031 (81.505) Epoch: [58][5620/10010] Time 0.336 (0.327) Data 0.001 (0.001) Loss 1.7902 (1.7574) Prec@1 54.688 (59.922) Prec@5 80.469 (81.507) Epoch: [58][5630/10010] Time 0.339 (0.327) Data 0.001 (0.001) Loss 1.8527 (1.7577) Prec@1 53.906 (59.917) Prec@5 81.250 (81.505) Epoch: [58][5640/10010] Time 0.336 (0.327) Data 0.001 (0.001) Loss 1.5448 (1.7576) Prec@1 64.844 (59.917) Prec@5 85.156 (81.506) Epoch: [58][5650/10010] Time 0.333 (0.327) Data 0.003 (0.001) Loss 1.5775 (1.7575) Prec@1 57.031 (59.917) Prec@5 81.250 (81.507) Epoch: [58][5660/10010] Time 0.322 (0.327) Data 0.000 (0.001) Loss 1.7372 (1.7575) Prec@1 51.562 (59.918) Prec@5 84.375 (81.507) Epoch: [58][5670/10010] Time 0.337 (0.327) Data 0.001 (0.001) Loss 1.7968 (1.7576) Prec@1 56.250 (59.918) Prec@5 82.031 (81.504) Epoch: [58][5680/10010] Time 0.323 (0.327) Data 0.001 (0.001) Loss 2.1813 (1.7576) Prec@1 53.906 (59.919) Prec@5 74.219 (81.503) Epoch: [58][5690/10010] Time 0.331 (0.327) Data 0.001 (0.001) Loss 1.6643 (1.7575) Prec@1 60.156 (59.921) Prec@5 82.812 (81.503) Epoch: [58][5700/10010] Time 0.336 (0.327) Data 0.000 (0.001) Loss 1.8898 (1.7576) Prec@1 58.594 (59.921) Prec@5 78.125 (81.501) Epoch: [58][5710/10010] Time 0.330 (0.327) Data 0.001 (0.001) Loss 1.6616 (1.7577) Prec@1 61.719 (59.922) Prec@5 84.375 (81.500) Epoch: [58][5720/10010] Time 0.340 (0.327) Data 0.000 (0.001) Loss 2.0527 (1.7576) Prec@1 50.781 (59.921) Prec@5 77.344 (81.500) Epoch: [58][5730/10010] Time 0.316 (0.327) Data 0.001 (0.001) Loss 2.1635 (1.7578) Prec@1 55.469 (59.918) Prec@5 73.438 (81.494) Epoch: [58][5740/10010] Time 0.320 (0.327) Data 0.001 (0.001) Loss 1.5390 (1.7577) Prec@1 59.375 (59.917) Prec@5 85.156 (81.494) Epoch: [58][5750/10010] Time 0.328 (0.327) Data 0.001 (0.001) Loss 2.2691 (1.7578) Prec@1 54.688 (59.920) Prec@5 73.438 (81.493) Epoch: [58][5760/10010] Time 0.338 (0.327) Data 0.001 (0.001) Loss 1.7554 (1.7580) Prec@1 53.906 (59.919) Prec@5 84.375 (81.491) Epoch: [58][5770/10010] Time 0.321 (0.327) Data 0.001 (0.001) Loss 1.8096 (1.7582) Prec@1 61.719 (59.917) Prec@5 81.250 (81.488) Epoch: [58][5780/10010] Time 0.319 (0.327) Data 0.000 (0.001) Loss 1.8288 (1.7581) Prec@1 56.250 (59.916) Prec@5 82.031 (81.491) Epoch: [58][5790/10010] Time 0.327 (0.327) Data 0.000 (0.001) Loss 1.4356 (1.7579) Prec@1 67.969 (59.920) Prec@5 86.719 (81.495) Epoch: [58][5800/10010] Time 0.343 (0.327) Data 0.001 (0.001) Loss 1.8363 (1.7580) Prec@1 57.031 (59.917) Prec@5 78.906 (81.492) Epoch: [58][5810/10010] Time 0.322 (0.327) Data 0.001 (0.001) Loss 1.7537 (1.7580) Prec@1 59.375 (59.915) Prec@5 79.688 (81.491) Epoch: [58][5820/10010] Time 0.318 (0.327) Data 0.001 (0.001) Loss 1.4988 (1.7580) Prec@1 70.312 (59.917) Prec@5 87.500 (81.495) Epoch: [58][5830/10010] Time 0.336 (0.327) Data 0.001 (0.001) Loss 1.5931 (1.7579) Prec@1 62.500 (59.918) Prec@5 83.594 (81.496) Epoch: [58][5840/10010] Time 0.332 (0.327) Data 0.000 (0.001) Loss 1.6645 (1.7577) Prec@1 60.938 (59.922) Prec@5 83.594 (81.498) Epoch: [58][5850/10010] Time 0.327 (0.327) Data 0.001 (0.001) Loss 1.5786 (1.7579) Prec@1 61.719 (59.917) Prec@5 83.594 (81.499) Epoch: [58][5860/10010] Time 0.319 (0.327) Data 0.000 (0.001) Loss 1.7584 (1.7578) Prec@1 60.938 (59.918) Prec@5 82.812 (81.500) Epoch: [58][5870/10010] Time 0.320 (0.327) Data 0.001 (0.001) Loss 2.1587 (1.7579) Prec@1 48.438 (59.916) Prec@5 75.781 (81.498) Epoch: [58][5880/10010] Time 0.320 (0.327) Data 0.001 (0.001) Loss 1.9071 (1.7579) Prec@1 58.594 (59.917) Prec@5 82.812 (81.500) Epoch: [58][5890/10010] Time 0.330 (0.327) Data 0.001 (0.001) Loss 1.6923 (1.7579) Prec@1 60.938 (59.917) Prec@5 82.812 (81.499) Epoch: [58][5900/10010] Time 0.323 (0.327) Data 0.001 (0.001) Loss 1.5822 (1.7579) Prec@1 62.500 (59.918) Prec@5 85.156 (81.497) Epoch: [58][5910/10010] Time 0.337 (0.327) Data 0.001 (0.001) Loss 1.9821 (1.7579) Prec@1 53.125 (59.918) Prec@5 82.812 (81.498) Epoch: [58][5920/10010] Time 0.309 (0.327) Data 0.001 (0.001) Loss 2.0372 (1.7580) Prec@1 53.906 (59.916) Prec@5 77.344 (81.495) Epoch: [58][5930/10010] Time 0.338 (0.327) Data 0.000 (0.001) Loss 1.8201 (1.7581) Prec@1 53.906 (59.912) Prec@5 83.594 (81.494) Epoch: [58][5940/10010] Time 0.335 (0.327) Data 0.000 (0.001) Loss 1.7834 (1.7581) Prec@1 54.688 (59.914) Prec@5 78.906 (81.492) Epoch: [58][5950/10010] Time 0.318 (0.327) Data 0.000 (0.001) Loss 1.7579 (1.7582) Prec@1 57.031 (59.913) Prec@5 79.688 (81.491) Epoch: [58][5960/10010] Time 0.318 (0.327) Data 0.001 (0.001) Loss 1.6149 (1.7582) Prec@1 61.719 (59.911) Prec@5 83.594 (81.492) Epoch: [58][5970/10010] Time 0.334 (0.327) Data 0.000 (0.001) Loss 1.5015 (1.7581) Prec@1 64.844 (59.911) Prec@5 84.375 (81.493) Epoch: [58][5980/10010] Time 0.325 (0.327) Data 0.000 (0.001) Loss 1.8094 (1.7582) Prec@1 57.812 (59.911) Prec@5 81.250 (81.492) Epoch: [58][5990/10010] Time 0.334 (0.327) Data 0.001 (0.001) Loss 1.4064 (1.7582) Prec@1 71.094 (59.912) Prec@5 87.500 (81.491) Epoch: [58][6000/10010] Time 0.337 (0.327) Data 0.001 (0.001) Loss 1.6380 (1.7582) Prec@1 58.594 (59.912) Prec@5 84.375 (81.494) Epoch: [58][6010/10010] Time 0.338 (0.327) Data 0.001 (0.001) Loss 1.6769 (1.7581) Prec@1 60.938 (59.911) Prec@5 82.812 (81.493) Epoch: [58][6020/10010] Time 0.335 (0.327) Data 0.001 (0.001) Loss 2.0240 (1.7583) Prec@1 51.562 (59.906) Prec@5 78.125 (81.491) Epoch: [58][6030/10010] Time 0.316 (0.327) Data 0.001 (0.001) Loss 1.4995 (1.7583) Prec@1 57.812 (59.905) Prec@5 86.719 (81.492) Epoch: [58][6040/10010] Time 0.320 (0.327) Data 0.000 (0.001) Loss 1.8390 (1.7583) Prec@1 55.469 (59.907) Prec@5 81.250 (81.492) Epoch: [58][6050/10010] Time 0.316 (0.327) Data 0.000 (0.001) Loss 1.5088 (1.7582) Prec@1 62.500 (59.906) Prec@5 86.719 (81.494) Epoch: [58][6060/10010] Time 0.331 (0.327) Data 0.001 (0.001) Loss 1.9934 (1.7583) Prec@1 52.344 (59.904) Prec@5 78.906 (81.493) Epoch: [58][6070/10010] Time 0.317 (0.327) Data 0.000 (0.001) Loss 1.7432 (1.7583) Prec@1 60.156 (59.902) Prec@5 82.031 (81.491) Epoch: [58][6080/10010] Time 0.316 (0.327) Data 0.001 (0.001) Loss 1.6491 (1.7584) Prec@1 63.281 (59.901) Prec@5 86.719 (81.491) Epoch: [58][6090/10010] Time 0.320 (0.327) Data 0.001 (0.001) Loss 1.5847 (1.7583) Prec@1 64.062 (59.903) Prec@5 84.375 (81.493) Epoch: [58][6100/10010] Time 0.335 (0.327) Data 0.001 (0.001) Loss 2.0214 (1.7584) Prec@1 57.031 (59.903) Prec@5 81.250 (81.493) Epoch: [58][6110/10010] Time 0.321 (0.327) Data 0.001 (0.001) Loss 2.0538 (1.7583) Prec@1 56.250 (59.905) Prec@5 78.906 (81.495) Epoch: [58][6120/10010] Time 0.318 (0.327) Data 0.001 (0.001) Loss 2.0121 (1.7584) Prec@1 57.812 (59.904) Prec@5 76.562 (81.494) Epoch: [58][6130/10010] Time 0.316 (0.327) Data 0.001 (0.001) Loss 1.9763 (1.7585) Prec@1 52.344 (59.904) Prec@5 77.344 (81.494) Epoch: [58][6140/10010] Time 0.341 (0.327) Data 0.001 (0.001) Loss 1.6013 (1.7585) Prec@1 63.281 (59.905) Prec@5 82.031 (81.493) Epoch: [58][6150/10010] Time 0.338 (0.327) Data 0.001 (0.001) Loss 1.5476 (1.7586) Prec@1 61.719 (59.903) Prec@5 85.938 (81.491) Epoch: [58][6160/10010] Time 0.340 (0.327) Data 0.000 (0.001) Loss 1.7936 (1.7586) Prec@1 59.375 (59.904) Prec@5 79.688 (81.491) Epoch: [58][6170/10010] Time 0.313 (0.327) Data 0.001 (0.001) Loss 1.7855 (1.7586) Prec@1 62.500 (59.905) Prec@5 83.594 (81.492) Epoch: [58][6180/10010] Time 0.334 (0.327) Data 0.001 (0.001) Loss 1.4273 (1.7586) Prec@1 63.281 (59.907) Prec@5 87.500 (81.492) Epoch: [58][6190/10010] Time 0.323 (0.327) Data 0.001 (0.001) Loss 1.8158 (1.7585) Prec@1 60.938 (59.907) Prec@5 79.688 (81.491) Epoch: [58][6200/10010] Time 0.338 (0.327) Data 0.001 (0.001) Loss 1.8086 (1.7585) Prec@1 61.719 (59.906) Prec@5 76.562 (81.489) Epoch: [58][6210/10010] Time 0.344 (0.327) Data 0.001 (0.001) Loss 1.8431 (1.7585) Prec@1 56.250 (59.907) Prec@5 76.562 (81.490) Epoch: [58][6220/10010] Time 0.319 (0.327) Data 0.001 (0.001) Loss 1.9206 (1.7584) Prec@1 53.906 (59.907) Prec@5 76.562 (81.490) Epoch: [58][6230/10010] Time 0.330 (0.327) Data 0.001 (0.001) Loss 1.9921 (1.7585) Prec@1 53.125 (59.904) Prec@5 80.469 (81.488) Epoch: [58][6240/10010] Time 0.334 (0.327) Data 0.001 (0.001) Loss 1.5272 (1.7584) Prec@1 63.281 (59.906) Prec@5 84.375 (81.491) Epoch: [58][6250/10010] Time 0.325 (0.327) Data 0.001 (0.001) Loss 1.4970 (1.7585) Prec@1 65.625 (59.903) Prec@5 82.812 (81.489) Epoch: [58][6260/10010] Time 0.320 (0.327) Data 0.001 (0.001) Loss 1.5246 (1.7584) Prec@1 66.406 (59.904) Prec@5 86.719 (81.490) Epoch: [58][6270/10010] Time 0.341 (0.327) Data 0.001 (0.001) Loss 1.6324 (1.7585) Prec@1 56.250 (59.902) Prec@5 85.156 (81.490) Epoch: [58][6280/10010] Time 0.333 (0.327) Data 0.000 (0.001) Loss 1.6135 (1.7584) Prec@1 63.281 (59.906) Prec@5 84.375 (81.491) Epoch: [58][6290/10010] Time 0.332 (0.327) Data 0.001 (0.001) Loss 2.0675 (1.7586) Prec@1 51.562 (59.902) Prec@5 77.344 (81.490) Epoch: [58][6300/10010] Time 0.327 (0.327) Data 0.001 (0.001) Loss 1.8081 (1.7587) Prec@1 60.938 (59.903) Prec@5 80.469 (81.490) Epoch: [58][6310/10010] Time 0.334 (0.327) Data 0.001 (0.001) Loss 2.0649 (1.7587) Prec@1 56.250 (59.902) Prec@5 79.688 (81.490) Epoch: [58][6320/10010] Time 0.321 (0.327) Data 0.001 (0.001) Loss 1.5907 (1.7586) Prec@1 65.625 (59.906) Prec@5 82.031 (81.489) Epoch: [58][6330/10010] Time 0.325 (0.327) Data 0.001 (0.001) Loss 2.0918 (1.7587) Prec@1 52.344 (59.904) Prec@5 74.219 (81.488) Epoch: [58][6340/10010] Time 0.329 (0.327) Data 0.000 (0.001) Loss 1.8322 (1.7588) Prec@1 60.156 (59.902) Prec@5 83.594 (81.485) Epoch: [58][6350/10010] Time 0.317 (0.327) Data 0.001 (0.001) Loss 2.2408 (1.7591) Prec@1 57.031 (59.898) Prec@5 75.000 (81.482) Epoch: [58][6360/10010] Time 0.317 (0.327) Data 0.001 (0.001) Loss 2.0963 (1.7592) Prec@1 53.125 (59.897) Prec@5 76.562 (81.483) Epoch: [58][6370/10010] Time 0.322 (0.327) Data 0.001 (0.001) Loss 1.7552 (1.7591) Prec@1 56.250 (59.898) Prec@5 80.469 (81.484) Epoch: [58][6380/10010] Time 0.329 (0.327) Data 0.000 (0.001) Loss 1.5905 (1.7591) Prec@1 64.844 (59.898) Prec@5 81.250 (81.483) Epoch: [58][6390/10010] Time 0.338 (0.327) Data 0.001 (0.001) Loss 1.6919 (1.7592) Prec@1 61.719 (59.896) Prec@5 80.469 (81.481) Epoch: [58][6400/10010] Time 0.321 (0.327) Data 0.001 (0.001) Loss 1.8242 (1.7593) Prec@1 60.938 (59.896) Prec@5 78.906 (81.480) Epoch: [58][6410/10010] Time 0.317 (0.327) Data 0.000 (0.001) Loss 1.6925 (1.7591) Prec@1 60.156 (59.900) Prec@5 83.594 (81.482) Epoch: [58][6420/10010] Time 0.325 (0.327) Data 0.001 (0.001) Loss 1.7456 (1.7591) Prec@1 57.812 (59.900) Prec@5 83.594 (81.483) Epoch: [58][6430/10010] Time 0.333 (0.327) Data 0.001 (0.001) Loss 1.7394 (1.7592) Prec@1 64.062 (59.899) Prec@5 80.469 (81.483) Epoch: [58][6440/10010] Time 0.328 (0.327) Data 0.001 (0.001) Loss 1.7203 (1.7592) Prec@1 59.375 (59.896) Prec@5 80.469 (81.482) Epoch: [58][6450/10010] Time 0.338 (0.327) Data 0.001 (0.001) Loss 1.5050 (1.7591) Prec@1 65.625 (59.899) Prec@5 85.938 (81.484) Epoch: [58][6460/10010] Time 0.312 (0.327) Data 0.001 (0.001) Loss 1.8033 (1.7591) Prec@1 58.594 (59.898) Prec@5 85.156 (81.485) Epoch: [58][6470/10010] Time 0.313 (0.327) Data 0.001 (0.001) Loss 1.6081 (1.7590) Prec@1 65.625 (59.900) Prec@5 85.156 (81.487) /data/vision/torralba/deepscene/lib/anaconda2/lib/python2.7/site-packages/PIL/TiffImagePlugin.py:692: UserWarning: Possibly corrupt EXIF data. Expecting to read 2555904 bytes but only got 0. Skipping tag 0 "Skipping tag %s" % (size, len(data), tag)) Epoch: [58][6480/10010] Time 0.340 (0.327) Data 0.001 (0.001) Loss 1.9170 (1.7590) Prec@1 59.375 (59.902) Prec@5 80.469 (81.488) Epoch: [58][6490/10010] Time 0.334 (0.327) Data 0.001 (0.001) Loss 1.8890 (1.7590) Prec@1 57.031 (59.902) Prec@5 81.250 (81.487) Epoch: [58][6500/10010] Time 0.336 (0.327) Data 0.001 (0.001) Loss 1.8424 (1.7590) Prec@1 53.906 (59.901) Prec@5 82.031 (81.486) Epoch: [58][6510/10010] Time 0.340 (0.327) Data 0.001 (0.001) Loss 1.5378 (1.7590) Prec@1 62.500 (59.902) Prec@5 81.250 (81.487) Epoch: [58][6520/10010] Time 0.338 (0.327) Data 0.001 (0.001) Loss 1.6645 (1.7589) Prec@1 60.156 (59.904) Prec@5 83.594 (81.488) Epoch: [58][6530/10010] Time 0.311 (0.327) Data 0.001 (0.001) Loss 1.6695 (1.7590) Prec@1 61.719 (59.902) Prec@5 83.594 (81.488) Epoch: [58][6540/10010] Time 0.315 (0.327) Data 0.001 (0.001) Loss 1.6867 (1.7590) Prec@1 58.594 (59.901) Prec@5 81.250 (81.488) Epoch: [58][6550/10010] Time 0.320 (0.327) Data 0.001 (0.001) Loss 1.7515 (1.7590) Prec@1 60.156 (59.900) Prec@5 81.250 (81.486) Epoch: [58][6560/10010] Time 0.332 (0.327) Data 0.001 (0.001) Loss 1.5100 (1.7590) Prec@1 68.750 (59.901) Prec@5 85.156 (81.486) Epoch: [58][6570/10010] Time 0.328 (0.327) Data 0.001 (0.001) Loss 1.9286 (1.7590) Prec@1 56.250 (59.903) Prec@5 78.125 (81.486) Epoch: [58][6580/10010] Time 0.334 (0.327) Data 0.001 (0.001) Loss 2.0635 (1.7590) Prec@1 52.344 (59.901) Prec@5 77.344 (81.485) Epoch: [58][6590/10010] Time 0.319 (0.327) Data 0.000 (0.001) Loss 1.8136 (1.7589) Prec@1 61.719 (59.901) Prec@5 80.469 (81.484) Epoch: [58][6600/10010] Time 0.330 (0.327) Data 0.001 (0.001) Loss 1.6808 (1.7589) Prec@1 62.500 (59.901) Prec@5 83.594 (81.486) Epoch: [58][6610/10010] Time 0.321 (0.327) Data 0.000 (0.001) Loss 1.9213 (1.7589) Prec@1 57.812 (59.899) Prec@5 79.688 (81.487) Epoch: [58][6620/10010] Time 0.314 (0.327) Data 0.001 (0.001) Loss 1.7600 (1.7590) Prec@1 55.469 (59.898) Prec@5 82.031 (81.486) Epoch: [58][6630/10010] Time 0.344 (0.327) Data 0.001 (0.001) Loss 1.6012 (1.7590) Prec@1 64.062 (59.899) Prec@5 86.719 (81.486) Epoch: [58][6640/10010] Time 0.339 (0.327) Data 0.000 (0.001) Loss 1.8917 (1.7589) Prec@1 56.250 (59.898) Prec@5 75.781 (81.485) Epoch: [58][6650/10010] Time 0.336 (0.327) Data 0.001 (0.001) Loss 1.9334 (1.7589) Prec@1 56.250 (59.900) Prec@5 78.906 (81.484) Epoch: [58][6660/10010] Time 0.333 (0.327) Data 0.000 (0.001) Loss 1.6765 (1.7590) Prec@1 60.938 (59.898) Prec@5 85.938 (81.482) Epoch: [58][6670/10010] Time 0.323 (0.327) Data 0.000 (0.001) Loss 1.6442 (1.7590) Prec@1 64.844 (59.898) Prec@5 81.250 (81.481) Epoch: [58][6680/10010] Time 0.322 (0.327) Data 0.001 (0.001) Loss 1.9236 (1.7590) Prec@1 54.688 (59.897) Prec@5 81.250 (81.480) Epoch: [58][6690/10010] Time 0.339 (0.327) Data 0.000 (0.001) Loss 1.7347 (1.7591) Prec@1 61.719 (59.896) Prec@5 78.906 (81.480) Epoch: [58][6700/10010] Time 0.332 (0.327) Data 0.001 (0.001) Loss 1.9498 (1.7591) Prec@1 53.125 (59.898) Prec@5 79.688 (81.478) Epoch: [58][6710/10010] Time 0.321 (0.327) Data 0.001 (0.001) Loss 2.0708 (1.7591) Prec@1 53.125 (59.898) Prec@5 75.781 (81.478) Epoch: [58][6720/10010] Time 0.320 (0.327) Data 0.001 (0.001) Loss 1.9377 (1.7591) Prec@1 57.031 (59.897) Prec@5 79.688 (81.480) Epoch: [58][6730/10010] Time 0.340 (0.327) Data 0.000 (0.001) Loss 1.8923 (1.7592) Prec@1 53.125 (59.895) Prec@5 83.594 (81.480) Epoch: [58][6740/10010] Time 0.324 (0.327) Data 0.001 (0.001) Loss 1.7505 (1.7591) Prec@1 60.156 (59.895) Prec@5 82.812 (81.480) Epoch: [58][6750/10010] Time 0.339 (0.327) Data 0.001 (0.001) Loss 1.8157 (1.7592) Prec@1 61.719 (59.896) Prec@5 78.125 (81.479) Epoch: [58][6760/10010] Time 0.314 (0.327) Data 0.001 (0.001) Loss 1.4403 (1.7592) Prec@1 64.844 (59.898) Prec@5 85.938 (81.479) Epoch: [58][6770/10010] Time 0.340 (0.327) Data 0.001 (0.001) Loss 1.6513 (1.7592) Prec@1 61.719 (59.897) Prec@5 85.938 (81.481) Epoch: [58][6780/10010] Time 0.311 (0.327) Data 0.001 (0.001) Loss 1.7455 (1.7592) Prec@1 56.250 (59.897) Prec@5 81.250 (81.481) Epoch: [58][6790/10010] Time 0.318 (0.327) Data 0.001 (0.001) Loss 2.0196 (1.7592) Prec@1 53.125 (59.896) Prec@5 76.562 (81.479) Epoch: [58][6800/10010] Time 0.316 (0.327) Data 0.000 (0.001) Loss 1.6795 (1.7590) Prec@1 63.281 (59.901) Prec@5 82.812 (81.480) Epoch: [58][6810/10010] Time 0.321 (0.327) Data 0.001 (0.001) Loss 1.8483 (1.7590) Prec@1 56.250 (59.902) Prec@5 79.688 (81.481) Epoch: [58][6820/10010] Time 0.339 (0.327) Data 0.001 (0.001) Loss 1.5943 (1.7590) Prec@1 64.062 (59.902) Prec@5 86.719 (81.481) Epoch: [58][6830/10010] Time 0.316 (0.327) Data 0.001 (0.001) Loss 1.5432 (1.7589) Prec@1 60.156 (59.904) Prec@5 85.156 (81.482) Epoch: [58][6840/10010] Time 0.326 (0.327) Data 0.000 (0.001) Loss 1.3783 (1.7588) Prec@1 64.844 (59.906) Prec@5 86.719 (81.484) Epoch: [58][6850/10010] Time 0.321 (0.327) Data 0.001 (0.001) Loss 1.9238 (1.7587) Prec@1 57.812 (59.908) Prec@5 80.469 (81.485) Epoch: [58][6860/10010] Time 0.325 (0.327) Data 0.001 (0.001) Loss 1.8588 (1.7588) Prec@1 56.250 (59.907) Prec@5 78.906 (81.486) Epoch: [58][6870/10010] Time 0.340 (0.327) Data 0.001 (0.001) Loss 1.4970 (1.7587) Prec@1 65.625 (59.909) Prec@5 86.719 (81.488) Epoch: [58][6880/10010] Time 0.341 (0.327) Data 0.000 (0.001) Loss 1.6139 (1.7587) Prec@1 64.844 (59.908) Prec@5 85.938 (81.488) Epoch: [58][6890/10010] Time 0.337 (0.327) Data 0.001 (0.001) Loss 1.4160 (1.7587) Prec@1 64.062 (59.906) Prec@5 89.062 (81.487) Epoch: [58][6900/10010] Time 0.318 (0.327) Data 0.001 (0.001) Loss 1.5742 (1.7586) Prec@1 62.500 (59.908) Prec@5 85.938 (81.488) Epoch: [58][6910/10010] Time 0.310 (0.327) Data 0.001 (0.001) Loss 1.9576 (1.7587) Prec@1 56.250 (59.906) Prec@5 78.906 (81.488) Epoch: [58][6920/10010] Time 0.336 (0.327) Data 0.001 (0.001) Loss 1.8582 (1.7587) Prec@1 58.594 (59.908) Prec@5 78.906 (81.487) Epoch: [58][6930/10010] Time 0.317 (0.327) Data 0.001 (0.001) Loss 1.5724 (1.7587) Prec@1 62.500 (59.909) Prec@5 83.594 (81.486) Epoch: [58][6940/10010] Time 0.316 (0.327) Data 0.001 (0.001) Loss 2.0224 (1.7589) Prec@1 54.688 (59.903) Prec@5 77.344 (81.483) Epoch: [58][6950/10010] Time 0.320 (0.327) Data 0.001 (0.001) Loss 1.7051 (1.7588) Prec@1 56.250 (59.903) Prec@5 82.031 (81.482) Epoch: [58][6960/10010] Time 0.328 (0.327) Data 0.001 (0.001) Loss 1.6201 (1.7589) Prec@1 60.156 (59.901) Prec@5 83.594 (81.483) Epoch: [58][6970/10010] Time 0.319 (0.327) Data 0.000 (0.001) Loss 1.7192 (1.7590) Prec@1 59.375 (59.897) Prec@5 85.938 (81.482) Epoch: [58][6980/10010] Time 0.336 (0.327) Data 0.001 (0.001) Loss 1.9172 (1.7591) Prec@1 57.031 (59.895) Prec@5 79.688 (81.482) Epoch: [58][6990/10010] Time 0.333 (0.327) Data 0.001 (0.001) Loss 1.6427 (1.7589) Prec@1 62.500 (59.898) Prec@5 82.812 (81.484) Epoch: [58][7000/10010] Time 0.317 (0.327) Data 0.000 (0.001) Loss 1.5833 (1.7592) Prec@1 61.719 (59.894) Prec@5 82.031 (81.481) Epoch: [58][7010/10010] Time 0.333 (0.327) Data 0.000 (0.001) Loss 1.5362 (1.7592) Prec@1 59.375 (59.892) Prec@5 87.500 (81.479) Epoch: [58][7020/10010] Time 0.316 (0.327) Data 0.001 (0.001) Loss 2.1384 (1.7592) Prec@1 50.000 (59.891) Prec@5 75.781 (81.480) Epoch: [58][7030/10010] Time 0.325 (0.327) Data 0.000 (0.001) Loss 2.0653 (1.7592) Prec@1 51.562 (59.891) Prec@5 77.344 (81.479) Epoch: [58][7040/10010] Time 0.322 (0.327) Data 0.000 (0.001) Loss 1.8456 (1.7593) Prec@1 60.156 (59.889) Prec@5 78.906 (81.478) Epoch: [58][7050/10010] Time 0.327 (0.327) Data 0.001 (0.001) Loss 1.8129 (1.7593) Prec@1 59.375 (59.887) Prec@5 78.906 (81.479) Epoch: [58][7060/10010] Time 0.337 (0.327) Data 0.001 (0.001) Loss 1.6373 (1.7593) Prec@1 56.250 (59.885) Prec@5 84.375 (81.479) Epoch: [58][7070/10010] Time 0.325 (0.327) Data 0.001 (0.001) Loss 1.7477 (1.7593) Prec@1 64.844 (59.887) Prec@5 78.125 (81.480) Epoch: [58][7080/10010] Time 0.316 (0.327) Data 0.001 (0.001) Loss 1.9227 (1.7593) Prec@1 54.688 (59.887) Prec@5 81.250 (81.480) Epoch: [58][7090/10010] Time 0.326 (0.327) Data 0.001 (0.001) Loss 1.5219 (1.7592) Prec@1 62.500 (59.890) Prec@5 86.719 (81.482) Epoch: [58][7100/10010] Time 0.313 (0.327) Data 0.001 (0.001) Loss 1.8610 (1.7591) Prec@1 57.031 (59.891) Prec@5 81.250 (81.482) Epoch: [58][7110/10010] Time 0.339 (0.327) Data 0.000 (0.001) Loss 1.9007 (1.7591) Prec@1 53.125 (59.886) Prec@5 80.469 (81.483) Epoch: [58][7120/10010] Time 0.339 (0.327) Data 0.000 (0.001) Loss 1.6840 (1.7591) Prec@1 60.938 (59.888) Prec@5 82.812 (81.485) Epoch: [58][7130/10010] Time 0.323 (0.327) Data 0.001 (0.001) Loss 1.5935 (1.7592) Prec@1 58.594 (59.885) Prec@5 83.594 (81.482) Epoch: [58][7140/10010] Time 0.314 (0.327) Data 0.001 (0.001) Loss 2.1175 (1.7591) Prec@1 49.219 (59.883) Prec@5 70.312 (81.481) Epoch: [58][7150/10010] Time 0.329 (0.327) Data 0.001 (0.001) Loss 1.6358 (1.7592) Prec@1 60.938 (59.883) Prec@5 82.812 (81.482) Epoch: [58][7160/10010] Time 0.336 (0.327) Data 0.000 (0.001) Loss 1.8830 (1.7592) Prec@1 63.281 (59.883) Prec@5 78.906 (81.480) Epoch: [58][7170/10010] Time 0.319 (0.327) Data 0.001 (0.001) Loss 1.5809 (1.7593) Prec@1 60.156 (59.882) Prec@5 87.500 (81.479) Epoch: [58][7180/10010] Time 0.347 (0.327) Data 0.000 (0.001) Loss 1.9420 (1.7594) Prec@1 57.031 (59.884) Prec@5 75.781 (81.479) Epoch: [58][7190/10010] Time 0.313 (0.327) Data 0.001 (0.001) Loss 1.5194 (1.7595) Prec@1 62.500 (59.883) Prec@5 85.938 (81.476) Epoch: [58][7200/10010] Time 0.324 (0.327) Data 0.000 (0.001) Loss 2.1355 (1.7597) Prec@1 53.125 (59.879) Prec@5 74.219 (81.473) Epoch: [58][7210/10010] Time 0.324 (0.327) Data 0.001 (0.001) Loss 1.5723 (1.7597) Prec@1 60.938 (59.880) Prec@5 85.938 (81.475) Epoch: [58][7220/10010] Time 0.332 (0.327) Data 0.001 (0.001) Loss 1.6104 (1.7597) Prec@1 67.188 (59.880) Prec@5 81.250 (81.474) Epoch: [58][7230/10010] Time 0.339 (0.327) Data 0.000 (0.001) Loss 1.8883 (1.7596) Prec@1 60.938 (59.881) Prec@5 78.906 (81.475) Epoch: [58][7240/10010] Time 0.336 (0.327) Data 0.000 (0.001) Loss 1.8401 (1.7596) Prec@1 61.719 (59.882) Prec@5 82.031 (81.474) Epoch: [58][7250/10010] Time 0.317 (0.327) Data 0.001 (0.001) Loss 1.9639 (1.7597) Prec@1 54.688 (59.879) Prec@5 78.906 (81.473) Epoch: [58][7260/10010] Time 0.335 (0.327) Data 0.000 (0.001) Loss 1.6390 (1.7597) Prec@1 60.156 (59.880) Prec@5 85.156 (81.473) Epoch: [58][7270/10010] Time 0.329 (0.327) Data 0.000 (0.001) Loss 1.3177 (1.7595) Prec@1 67.969 (59.881) Prec@5 89.844 (81.476) Epoch: [58][7280/10010] Time 0.318 (0.327) Data 0.000 (0.001) Loss 1.9020 (1.7596) Prec@1 60.156 (59.881) Prec@5 79.688 (81.474) Epoch: [58][7290/10010] Time 0.314 (0.327) Data 0.000 (0.001) Loss 1.7675 (1.7597) Prec@1 60.156 (59.879) Prec@5 83.594 (81.473) Epoch: [58][7300/10010] Time 0.330 (0.327) Data 0.000 (0.001) Loss 1.5029 (1.7596) Prec@1 68.750 (59.880) Prec@5 86.719 (81.473) Epoch: [58][7310/10010] Time 0.339 (0.327) Data 0.000 (0.001) Loss 1.7127 (1.7596) Prec@1 57.031 (59.881) Prec@5 80.469 (81.474) Epoch: [58][7320/10010] Time 0.328 (0.327) Data 0.001 (0.001) Loss 2.0311 (1.7598) Prec@1 56.250 (59.879) Prec@5 75.781 (81.473) Epoch: [58][7330/10010] Time 0.312 (0.327) Data 0.001 (0.001) Loss 1.6921 (1.7598) Prec@1 61.719 (59.877) Prec@5 82.812 (81.471) Epoch: [58][7340/10010] Time 0.339 (0.327) Data 0.001 (0.001) Loss 1.5244 (1.7598) Prec@1 66.406 (59.876) Prec@5 83.594 (81.471) Epoch: [58][7350/10010] Time 0.333 (0.327) Data 0.001 (0.001) Loss 1.9984 (1.7599) Prec@1 54.688 (59.875) Prec@5 75.781 (81.470) Epoch: [58][7360/10010] Time 0.337 (0.327) Data 0.001 (0.001) Loss 1.8880 (1.7599) Prec@1 63.281 (59.875) Prec@5 78.125 (81.471) Epoch: [58][7370/10010] Time 0.316 (0.327) Data 0.000 (0.001) Loss 2.0247 (1.7598) Prec@1 53.125 (59.874) Prec@5 76.562 (81.471) Epoch: [58][7380/10010] Time 0.325 (0.327) Data 0.000 (0.001) Loss 2.0964 (1.7601) Prec@1 53.906 (59.870) Prec@5 73.438 (81.468) Epoch: [58][7390/10010] Time 0.314 (0.327) Data 0.001 (0.001) Loss 1.6959 (1.7601) Prec@1 64.844 (59.869) Prec@5 82.031 (81.467) Epoch: [58][7400/10010] Time 0.335 (0.327) Data 0.000 (0.001) Loss 1.9854 (1.7601) Prec@1 50.000 (59.870) Prec@5 76.562 (81.467) Epoch: [58][7410/10010] Time 0.337 (0.327) Data 0.001 (0.001) Loss 2.2645 (1.7602) Prec@1 48.438 (59.868) Prec@5 75.000 (81.465) Epoch: [58][7420/10010] Time 0.334 (0.327) Data 0.001 (0.001) Loss 2.0004 (1.7603) Prec@1 52.344 (59.865) Prec@5 78.906 (81.464) Epoch: [58][7430/10010] Time 0.320 (0.327) Data 0.001 (0.001) Loss 2.0446 (1.7602) Prec@1 55.469 (59.865) Prec@5 74.219 (81.463) Epoch: [58][7440/10010] Time 0.334 (0.327) Data 0.001 (0.001) Loss 1.7676 (1.7601) Prec@1 58.594 (59.867) Prec@5 81.250 (81.463) Epoch: [58][7450/10010] Time 0.314 (0.327) Data 0.000 (0.001) Loss 1.4626 (1.7600) Prec@1 64.844 (59.870) Prec@5 88.281 (81.464) Epoch: [58][7460/10010] Time 0.334 (0.327) Data 0.001 (0.001) Loss 1.7019 (1.7602) Prec@1 60.156 (59.869) Prec@5 82.031 (81.462) Epoch: [58][7470/10010] Time 0.335 (0.327) Data 0.001 (0.001) Loss 1.6566 (1.7602) Prec@1 59.375 (59.869) Prec@5 85.938 (81.462) Epoch: [58][7480/10010] Time 0.317 (0.327) Data 0.000 (0.001) Loss 2.0500 (1.7602) Prec@1 53.906 (59.867) Prec@5 79.688 (81.462) Epoch: [58][7490/10010] Time 0.335 (0.327) Data 0.001 (0.001) Loss 1.7302 (1.7602) Prec@1 61.719 (59.868) Prec@5 80.469 (81.462) Epoch: [58][7500/10010] Time 0.319 (0.327) Data 0.000 (0.001) Loss 1.7474 (1.7602) Prec@1 67.188 (59.869) Prec@5 82.812 (81.462) Epoch: [58][7510/10010] Time 0.333 (0.327) Data 0.001 (0.001) Loss 1.5940 (1.7602) Prec@1 64.062 (59.868) Prec@5 88.281 (81.462) Epoch: [58][7520/10010] Time 0.329 (0.327) Data 0.000 (0.001) Loss 1.6785 (1.7602) Prec@1 65.625 (59.870) Prec@5 82.031 (81.463) Epoch: [58][7530/10010] Time 0.321 (0.327) Data 0.001 (0.001) Loss 1.9143 (1.7601) Prec@1 57.812 (59.872) Prec@5 79.688 (81.463) /data/vision/torralba/deepscene/lib/anaconda2/lib/python2.7/site-packages/PIL/TiffImagePlugin.py:709: UserWarning: Corrupt EXIF data. Expecting to read 4 bytes but only got 0. warnings.warn(str(msg)) Epoch: [58][7540/10010] Time 0.333 (0.327) Data 0.001 (0.001) Loss 1.6642 (1.7601) Prec@1 63.281 (59.873) Prec@5 81.250 (81.464) Epoch: [58][7550/10010] Time 0.311 (0.327) Data 0.001 (0.001) Loss 1.7413 (1.7600) Prec@1 57.031 (59.873) Prec@5 79.688 (81.465) Epoch: [58][7560/10010] Time 0.340 (0.327) Data 0.000 (0.001) Loss 1.6725 (1.7601) Prec@1 64.062 (59.871) Prec@5 85.156 (81.466) Epoch: [58][7570/10010] Time 0.326 (0.327) Data 0.001 (0.001) Loss 1.5748 (1.7600) Prec@1 65.625 (59.872) Prec@5 83.594 (81.466) /data/vision/torralba/deepscene/lib/anaconda2/lib/python2.7/site-packages/PIL/TiffImagePlugin.py:692: UserWarning: Possibly corrupt EXIF data. Expecting to read 2555904 bytes but only got 0. Skipping tag 0 "Skipping tag %s" % (size, len(data), tag)) Epoch: [58][7580/10010] Time 0.322 (0.327) Data 0.000 (0.001) Loss 1.9934 (1.7601) Prec@1 50.000 (59.868) Prec@5 79.688 (81.465) Epoch: [58][7590/10010] Time 0.322 (0.327) Data 0.000 (0.001) Loss 1.4971 (1.7599) Prec@1 67.188 (59.871) Prec@5 84.375 (81.468) Epoch: [58][7600/10010] Time 0.326 (0.327) Data 0.000 (0.001) Loss 1.3259 (1.7599) Prec@1 67.188 (59.872) Prec@5 88.281 (81.468) Epoch: [58][7610/10010] Time 0.320 (0.327) Data 0.001 (0.001) Loss 1.4511 (1.7598) Prec@1 63.281 (59.873) Prec@5 87.500 (81.470) Epoch: [58][7620/10010] Time 0.337 (0.327) Data 0.000 (0.001) Loss 2.0599 (1.7598) Prec@1 56.250 (59.874) Prec@5 74.219 (81.469) Epoch: [58][7630/10010] Time 0.322 (0.327) Data 0.000 (0.001) Loss 2.1409 (1.7599) Prec@1 53.906 (59.874) Prec@5 78.125 (81.468) Epoch: [58][7640/10010] Time 0.315 (0.327) Data 0.001 (0.001) Loss 2.0358 (1.7600) Prec@1 50.781 (59.871) Prec@5 77.344 (81.467) Epoch: [58][7650/10010] Time 0.310 (0.327) Data 0.001 (0.001) Loss 1.8564 (1.7600) Prec@1 55.469 (59.871) Prec@5 79.688 (81.466) Epoch: [58][7660/10010] Time 0.323 (0.327) Data 0.000 (0.001) Loss 1.7859 (1.7601) Prec@1 57.812 (59.869) Prec@5 84.375 (81.466) Epoch: [58][7670/10010] Time 0.328 (0.327) Data 0.001 (0.001) Loss 1.8227 (1.7601) Prec@1 57.812 (59.868) Prec@5 81.250 (81.465) Epoch: [58][7680/10010] Time 0.313 (0.327) Data 0.001 (0.001) Loss 1.7059 (1.7600) Prec@1 63.281 (59.869) Prec@5 79.688 (81.469) Epoch: [58][7690/10010] Time 0.328 (0.327) Data 0.001 (0.001) Loss 1.6593 (1.7600) Prec@1 57.812 (59.869) Prec@5 82.812 (81.470) Epoch: [58][7700/10010] Time 0.324 (0.327) Data 0.001 (0.001) Loss 1.6777 (1.7601) Prec@1 64.844 (59.869) Prec@5 82.031 (81.468) Epoch: [58][7710/10010] Time 0.324 (0.327) Data 0.001 (0.001) Loss 1.3256 (1.7602) Prec@1 71.094 (59.868) Prec@5 88.281 (81.466) Epoch: [58][7720/10010] Time 0.317 (0.327) Data 0.003 (0.001) Loss 1.8433 (1.7602) Prec@1 55.469 (59.866) Prec@5 80.469 (81.467) Epoch: [58][7730/10010] Time 0.339 (0.327) Data 0.000 (0.001) Loss 1.7102 (1.7601) Prec@1 62.500 (59.870) Prec@5 78.906 (81.467) Epoch: [58][7740/10010] Time 0.338 (0.327) Data 0.000 (0.001) Loss 1.5762 (1.7600) Prec@1 64.062 (59.873) Prec@5 82.812 (81.471) Epoch: [58][7750/10010] Time 0.322 (0.327) Data 0.001 (0.001) Loss 1.7977 (1.7600) Prec@1 56.250 (59.871) Prec@5 78.906 (81.469) Epoch: [58][7760/10010] Time 0.336 (0.327) Data 0.001 (0.001) Loss 1.8038 (1.7601) Prec@1 56.250 (59.869) Prec@5 78.906 (81.468) Epoch: [58][7770/10010] Time 0.331 (0.327) Data 0.000 (0.001) Loss 1.6039 (1.7601) Prec@1 61.719 (59.868) Prec@5 82.031 (81.468) Epoch: [58][7780/10010] Time 0.313 (0.327) Data 0.001 (0.001) Loss 1.9975 (1.7601) Prec@1 56.250 (59.867) Prec@5 83.594 (81.466) Epoch: [58][7790/10010] Time 0.324 (0.327) Data 0.001 (0.001) Loss 1.9382 (1.7602) Prec@1 55.469 (59.867) Prec@5 80.469 (81.464) Epoch: [58][7800/10010] Time 0.345 (0.327) Data 0.000 (0.001) Loss 1.5718 (1.7602) Prec@1 64.844 (59.866) Prec@5 82.812 (81.463) Epoch: [58][7810/10010] Time 0.337 (0.327) Data 0.001 (0.001) Loss 1.8168 (1.7603) Prec@1 60.156 (59.865) Prec@5 80.469 (81.463) Epoch: [58][7820/10010] Time 0.322 (0.327) Data 0.000 (0.001) Loss 1.7066 (1.7604) Prec@1 61.719 (59.864) Prec@5 83.594 (81.461) Epoch: [58][7830/10010] Time 0.310 (0.327) Data 0.001 (0.001) Loss 1.7738 (1.7604) Prec@1 57.031 (59.863) Prec@5 83.594 (81.462) Epoch: [58][7840/10010] Time 0.332 (0.327) Data 0.001 (0.001) Loss 1.7780 (1.7605) Prec@1 59.375 (59.862) Prec@5 82.031 (81.462) Epoch: [58][7850/10010] Time 0.336 (0.327) Data 0.001 (0.001) Loss 1.5509 (1.7605) Prec@1 68.750 (59.863) Prec@5 86.719 (81.461) Epoch: [58][7860/10010] Time 0.334 (0.327) Data 0.001 (0.001) Loss 1.3534 (1.7605) Prec@1 73.438 (59.862) Prec@5 88.281 (81.461) Epoch: [58][7870/10010] Time 0.324 (0.327) Data 0.001 (0.001) Loss 1.6643 (1.7605) Prec@1 60.156 (59.861) Prec@5 85.156 (81.462) Epoch: [58][7880/10010] Time 0.324 (0.327) Data 0.001 (0.001) Loss 2.0353 (1.7605) Prec@1 57.812 (59.861) Prec@5 77.344 (81.462) Epoch: [58][7890/10010] Time 0.313 (0.327) Data 0.001 (0.001) Loss 1.7506 (1.7606) Prec@1 61.719 (59.860) Prec@5 80.469 (81.460) Epoch: [58][7900/10010] Time 0.340 (0.327) Data 0.001 (0.001) Loss 1.6067 (1.7605) Prec@1 63.281 (59.859) Prec@5 83.594 (81.461) Epoch: [58][7910/10010] Time 0.317 (0.327) Data 0.001 (0.001) Loss 1.5747 (1.7604) Prec@1 59.375 (59.862) Prec@5 85.156 (81.461) Epoch: [58][7920/10010] Time 0.325 (0.327) Data 0.001 (0.001) Loss 1.5369 (1.7605) Prec@1 63.281 (59.860) Prec@5 82.031 (81.458) Epoch: [58][7930/10010] Time 0.342 (0.327) Data 0.000 (0.001) Loss 1.9155 (1.7605) Prec@1 54.688 (59.859) Prec@5 80.469 (81.458) Epoch: [58][7940/10010] Time 0.322 (0.327) Data 0.001 (0.001) Loss 1.9713 (1.7605) Prec@1 53.125 (59.858) Prec@5 75.000 (81.456) Epoch: [58][7950/10010] Time 0.338 (0.327) Data 0.001 (0.001) Loss 1.4990 (1.7605) Prec@1 67.188 (59.859) Prec@5 82.812 (81.456) Epoch: [58][7960/10010] Time 0.312 (0.327) Data 0.001 (0.001) Loss 1.8870 (1.7605) Prec@1 55.469 (59.857) Prec@5 83.594 (81.455) Epoch: [58][7970/10010] Time 0.341 (0.327) Data 0.001 (0.001) Loss 1.9169 (1.7605) Prec@1 60.938 (59.860) Prec@5 78.125 (81.454) Epoch: [58][7980/10010] Time 0.316 (0.327) Data 0.000 (0.001) Loss 1.5842 (1.7606) Prec@1 62.500 (59.859) Prec@5 82.812 (81.453) Epoch: [58][7990/10010] Time 0.341 (0.327) Data 0.001 (0.001) Loss 1.6739 (1.7606) Prec@1 63.281 (59.859) Prec@5 82.812 (81.454) Epoch: [58][8000/10010] Time 0.339 (0.327) Data 0.001 (0.001) Loss 2.0900 (1.7607) Prec@1 52.344 (59.858) Prec@5 77.344 (81.453) Epoch: [58][8010/10010] Time 0.313 (0.327) Data 0.001 (0.001) Loss 1.6111 (1.7605) Prec@1 61.719 (59.861) Prec@5 83.594 (81.454) Epoch: [58][8020/10010] Time 0.317 (0.327) Data 0.000 (0.001) Loss 1.7518 (1.7605) Prec@1 59.375 (59.860) Prec@5 83.594 (81.454) Epoch: [58][8030/10010] Time 0.327 (0.327) Data 0.001 (0.001) Loss 1.7355 (1.7605) Prec@1 59.375 (59.858) Prec@5 77.344 (81.454) Epoch: [58][8040/10010] Time 0.319 (0.327) Data 0.001 (0.001) Loss 1.8018 (1.7607) Prec@1 58.594 (59.853) Prec@5 79.688 (81.451) Epoch: [58][8050/10010] Time 0.320 (0.327) Data 0.001 (0.001) Loss 1.6406 (1.7608) Prec@1 60.156 (59.852) Prec@5 83.594 (81.450) Epoch: [58][8060/10010] Time 0.330 (0.327) Data 0.001 (0.001) Loss 1.8248 (1.7608) Prec@1 58.594 (59.855) Prec@5 79.688 (81.449) Epoch: [58][8070/10010] Time 0.323 (0.327) Data 0.000 (0.001) Loss 1.6310 (1.7609) Prec@1 60.938 (59.853) Prec@5 85.156 (81.446) Epoch: [58][8080/10010] Time 0.335 (0.327) Data 0.001 (0.001) Loss 1.6168 (1.7609) Prec@1 61.719 (59.854) Prec@5 81.250 (81.445) Epoch: [58][8090/10010] Time 0.330 (0.327) Data 0.001 (0.001) Loss 1.7825 (1.7609) Prec@1 53.906 (59.853) Prec@5 85.156 (81.444) Epoch: [58][8100/10010] Time 0.335 (0.327) Data 0.001 (0.001) Loss 2.0519 (1.7609) Prec@1 59.375 (59.851) Prec@5 79.688 (81.443) Epoch: [58][8110/10010] Time 0.319 (0.327) Data 0.000 (0.001) Loss 1.5499 (1.7609) Prec@1 54.688 (59.851) Prec@5 81.250 (81.444) Epoch: [58][8120/10010] Time 0.326 (0.327) Data 0.001 (0.001) Loss 1.8877 (1.7608) Prec@1 58.594 (59.852) Prec@5 76.562 (81.445) Epoch: [58][8130/10010] Time 0.322 (0.327) Data 0.001 (0.001) Loss 1.5631 (1.7608) Prec@1 66.406 (59.853) Prec@5 84.375 (81.445) Epoch: [58][8140/10010] Time 0.323 (0.327) Data 0.001 (0.001) Loss 1.7422 (1.7609) Prec@1 59.375 (59.851) Prec@5 82.812 (81.443) Epoch: [58][8150/10010] Time 0.325 (0.327) Data 0.003 (0.001) Loss 1.6096 (1.7610) Prec@1 57.031 (59.849) Prec@5 85.156 (81.444) Epoch: [58][8160/10010] Time 0.321 (0.327) Data 0.001 (0.001) Loss 1.6601 (1.7611) Prec@1 60.156 (59.847) Prec@5 82.031 (81.444) Epoch: [58][8170/10010] Time 0.326 (0.327) Data 0.001 (0.001) Loss 1.7616 (1.7610) Prec@1 61.719 (59.847) Prec@5 82.812 (81.447) Epoch: [58][8180/10010] Time 0.337 (0.327) Data 0.001 (0.001) Loss 2.0414 (1.7611) Prec@1 50.781 (59.846) Prec@5 74.219 (81.445) Epoch: [58][8190/10010] Time 0.318 (0.327) Data 0.001 (0.001) Loss 1.7655 (1.7611) Prec@1 64.062 (59.846) Prec@5 82.031 (81.445) Epoch: [58][8200/10010] Time 0.334 (0.327) Data 0.001 (0.001) Loss 1.4790 (1.7610) Prec@1 60.156 (59.848) Prec@5 83.594 (81.446) Epoch: [58][8210/10010] Time 0.326 (0.327) Data 0.001 (0.001) Loss 1.5287 (1.7610) Prec@1 62.500 (59.849) Prec@5 83.594 (81.445) Epoch: [58][8220/10010] Time 0.333 (0.327) Data 0.001 (0.001) Loss 1.7043 (1.7610) Prec@1 57.031 (59.848) Prec@5 78.125 (81.445) Epoch: [58][8230/10010] Time 0.325 (0.327) Data 0.001 (0.001) Loss 1.4129 (1.7609) Prec@1 65.625 (59.850) Prec@5 82.812 (81.447) Epoch: [58][8240/10010] Time 0.325 (0.327) Data 0.000 (0.001) Loss 1.5412 (1.7609) Prec@1 61.719 (59.850) Prec@5 82.812 (81.449) Epoch: [58][8250/10010] Time 0.336 (0.327) Data 0.001 (0.001) Loss 1.7842 (1.7611) Prec@1 55.469 (59.847) Prec@5 82.812 (81.446) Epoch: [58][8260/10010] Time 0.321 (0.327) Data 0.000 (0.001) Loss 1.8060 (1.7612) Prec@1 60.938 (59.845) Prec@5 78.125 (81.445) Epoch: [58][8270/10010] Time 0.328 (0.327) Data 0.000 (0.001) Loss 1.6188 (1.7611) Prec@1 58.594 (59.849) Prec@5 86.719 (81.446) Epoch: [58][8280/10010] Time 0.313 (0.327) Data 0.001 (0.001) Loss 2.1677 (1.7612) Prec@1 48.438 (59.847) Prec@5 77.344 (81.445) Epoch: [58][8290/10010] Time 0.334 (0.327) Data 0.000 (0.001) Loss 1.7595 (1.7611) Prec@1 62.500 (59.847) Prec@5 82.031 (81.445) Epoch: [58][8300/10010] Time 0.340 (0.327) Data 0.001 (0.001) Loss 2.1881 (1.7611) Prec@1 50.781 (59.847) Prec@5 73.438 (81.445) Epoch: [58][8310/10010] Time 0.344 (0.327) Data 0.001 (0.001) Loss 1.9868 (1.7612) Prec@1 57.031 (59.846) Prec@5 78.125 (81.443) Epoch: [58][8320/10010] Time 0.318 (0.327) Data 0.001 (0.001) Loss 1.9200 (1.7613) Prec@1 55.469 (59.844) Prec@5 85.156 (81.444) Epoch: [58][8330/10010] Time 0.338 (0.327) Data 0.001 (0.001) Loss 1.6276 (1.7613) Prec@1 59.375 (59.842) Prec@5 83.594 (81.444) Epoch: [58][8340/10010] Time 0.338 (0.327) Data 0.000 (0.001) Loss 1.6727 (1.7613) Prec@1 64.844 (59.841) Prec@5 83.594 (81.443) Epoch: [58][8350/10010] Time 0.311 (0.327) Data 0.001 (0.001) Loss 1.7130 (1.7613) Prec@1 63.281 (59.842) Prec@5 85.156 (81.444) Epoch: [58][8360/10010] Time 0.311 (0.327) Data 0.001 (0.001) Loss 1.4997 (1.7612) Prec@1 60.938 (59.842) Prec@5 82.031 (81.444) Epoch: [58][8370/10010] Time 0.340 (0.327) Data 0.001 (0.001) Loss 1.6261 (1.7613) Prec@1 61.719 (59.843) Prec@5 82.812 (81.445) Epoch: [58][8380/10010] Time 0.314 (0.327) Data 0.000 (0.001) Loss 1.9486 (1.7613) Prec@1 55.469 (59.839) Prec@5 81.250 (81.444) Epoch: [58][8390/10010] Time 0.327 (0.327) Data 0.001 (0.001) Loss 1.1930 (1.7613) Prec@1 71.875 (59.840) Prec@5 89.844 (81.444) Epoch: [58][8400/10010] Time 0.320 (0.327) Data 0.000 (0.001) Loss 1.6808 (1.7613) Prec@1 60.156 (59.841) Prec@5 85.938 (81.444) Epoch: [58][8410/10010] Time 0.326 (0.327) Data 0.001 (0.001) Loss 1.8867 (1.7614) Prec@1 53.906 (59.839) Prec@5 78.125 (81.443) Epoch: [58][8420/10010] Time 0.318 (0.327) Data 0.001 (0.001) Loss 1.8201 (1.7615) Prec@1 59.375 (59.838) Prec@5 79.688 (81.443) Epoch: [58][8430/10010] Time 0.343 (0.327) Data 0.001 (0.001) Loss 1.7974 (1.7615) Prec@1 57.031 (59.839) Prec@5 79.688 (81.442) Epoch: [58][8440/10010] Time 0.315 (0.327) Data 0.001 (0.001) Loss 1.7466 (1.7614) Prec@1 59.375 (59.840) Prec@5 85.156 (81.443) Epoch: [58][8450/10010] Time 0.321 (0.327) Data 0.001 (0.001) Loss 1.7199 (1.7614) Prec@1 61.719 (59.840) Prec@5 84.375 (81.444) Epoch: [58][8460/10010] Time 0.312 (0.327) Data 0.001 (0.001) Loss 1.9058 (1.7614) Prec@1 63.281 (59.840) Prec@5 76.562 (81.443) Epoch: [58][8470/10010] Time 0.332 (0.327) Data 0.001 (0.001) Loss 1.6794 (1.7614) Prec@1 60.938 (59.842) Prec@5 85.156 (81.443) Epoch: [58][8480/10010] Time 0.322 (0.327) Data 0.001 (0.001) Loss 1.7774 (1.7615) Prec@1 61.719 (59.842) Prec@5 83.594 (81.442) Epoch: [58][8490/10010] Time 0.317 (0.327) Data 0.001 (0.001) Loss 1.2118 (1.7615) Prec@1 76.562 (59.843) Prec@5 89.844 (81.443) Epoch: [58][8500/10010] Time 0.322 (0.327) Data 0.000 (0.001) Loss 1.5697 (1.7614) Prec@1 67.188 (59.846) Prec@5 85.156 (81.446) Epoch: [58][8510/10010] Time 0.325 (0.327) Data 0.001 (0.001) Loss 1.7637 (1.7615) Prec@1 60.156 (59.845) Prec@5 80.469 (81.446) Epoch: [58][8520/10010] Time 0.321 (0.327) Data 0.001 (0.001) Loss 2.0121 (1.7614) Prec@1 55.469 (59.847) Prec@5 75.781 (81.446) Epoch: [58][8530/10010] Time 0.314 (0.327) Data 0.001 (0.001) Loss 1.6626 (1.7615) Prec@1 63.281 (59.845) Prec@5 85.156 (81.445) Epoch: [58][8540/10010] Time 0.329 (0.327) Data 0.001 (0.001) Loss 1.6134 (1.7615) Prec@1 64.844 (59.844) Prec@5 85.156 (81.444) Epoch: [58][8550/10010] Time 0.318 (0.327) Data 0.000 (0.001) Loss 1.6690 (1.7615) Prec@1 60.156 (59.845) Prec@5 81.250 (81.447) Epoch: [58][8560/10010] Time 0.310 (0.327) Data 0.001 (0.001) Loss 2.1913 (1.7615) Prec@1 52.344 (59.845) Prec@5 74.219 (81.446) /data/vision/torralba/deepscene/lib/anaconda2/lib/python2.7/site-packages/PIL/TiffImagePlugin.py:692: UserWarning: Possibly corrupt EXIF data. Expecting to read 19660800 bytes but only got 0. Skipping tag 0 "Skipping tag %s" % (size, len(data), tag)) /data/vision/torralba/deepscene/lib/anaconda2/lib/python2.7/site-packages/PIL/TiffImagePlugin.py:692: UserWarning: Possibly corrupt EXIF data. Expecting to read 18481152 bytes but only got 0. Skipping tag 0 "Skipping tag %s" % (size, len(data), tag)) /data/vision/torralba/deepscene/lib/anaconda2/lib/python2.7/site-packages/PIL/TiffImagePlugin.py:692: UserWarning: Possibly corrupt EXIF data. Expecting to read 37093376 bytes but only got 0. Skipping tag 0 "Skipping tag %s" % (size, len(data), tag)) /data/vision/torralba/deepscene/lib/anaconda2/lib/python2.7/site-packages/PIL/TiffImagePlugin.py:692: UserWarning: Possibly corrupt EXIF data. Expecting to read 39976960 bytes but only got 0. Skipping tag 0 "Skipping tag %s" % (size, len(data), tag)) /data/vision/torralba/deepscene/lib/anaconda2/lib/python2.7/site-packages/PIL/TiffImagePlugin.py:692: UserWarning: Possibly corrupt EXIF data. Expecting to read 34865152 bytes but only got 0. Skipping tag 0 "Skipping tag %s" % (size, len(data), tag)) /data/vision/torralba/deepscene/lib/anaconda2/lib/python2.7/site-packages/PIL/TiffImagePlugin.py:709: UserWarning: Corrupt EXIF data. Expecting to read 12 bytes but only got 10. warnings.warn(str(msg)) Epoch: [58][8570/10010] Time 0.325 (0.327) Data 0.001 (0.001) Loss 1.9114 (1.7616) Prec@1 57.812 (59.846) Prec@5 79.688 (81.444) Epoch: [58][8580/10010] Time 0.317 (0.327) Data 0.001 (0.001) Loss 1.4257 (1.7616) Prec@1 67.969 (59.845) Prec@5 84.375 (81.443) Epoch: [58][8590/10010] Time 0.328 (0.327) Data 0.001 (0.001) Loss 1.4152 (1.7615) Prec@1 63.281 (59.845) Prec@5 83.594 (81.443) Epoch: [58][8600/10010] Time 0.312 (0.327) Data 0.001 (0.001) Loss 2.1563 (1.7617) Prec@1 53.906 (59.841) Prec@5 72.656 (81.440) Epoch: [58][8610/10010] Time 0.322 (0.327) Data 0.001 (0.001) Loss 1.5242 (1.7616) Prec@1 59.375 (59.843) Prec@5 86.719 (81.442) Epoch: [58][8620/10010] Time 0.337 (0.327) Data 0.001 (0.001) Loss 1.5264 (1.7616) Prec@1 60.156 (59.842) Prec@5 85.156 (81.443) Epoch: [58][8630/10010] Time 0.339 (0.327) Data 0.001 (0.001) Loss 1.8800 (1.7617) Prec@1 56.250 (59.841) Prec@5 79.688 (81.441) Epoch: [58][8640/10010] Time 0.318 (0.327) Data 0.001 (0.001) Loss 1.6813 (1.7617) Prec@1 57.031 (59.839) Prec@5 79.688 (81.440) Epoch: [58][8650/10010] Time 0.321 (0.327) Data 0.001 (0.001) Loss 1.6823 (1.7618) Prec@1 60.156 (59.838) Prec@5 81.250 (81.440) Epoch: [58][8660/10010] Time 0.337 (0.327) Data 0.000 (0.001) Loss 1.9726 (1.7618) Prec@1 57.031 (59.838) Prec@5 75.781 (81.439) Epoch: [58][8670/10010] Time 0.323 (0.327) Data 0.000 (0.001) Loss 1.7306 (1.7619) Prec@1 56.250 (59.835) Prec@5 79.688 (81.438) Epoch: [58][8680/10010] Time 0.342 (0.327) Data 0.001 (0.001) Loss 1.7525 (1.7619) Prec@1 62.500 (59.835) Prec@5 82.812 (81.439) Epoch: [58][8690/10010] Time 0.319 (0.327) Data 0.001 (0.001) Loss 1.6568 (1.7619) Prec@1 64.062 (59.836) Prec@5 85.156 (81.439) Epoch: [58][8700/10010] Time 0.326 (0.327) Data 0.000 (0.001) Loss 2.0496 (1.7619) Prec@1 56.250 (59.836) Prec@5 75.000 (81.439) Epoch: [58][8710/10010] Time 0.317 (0.327) Data 0.001 (0.001) Loss 1.6246 (1.7619) Prec@1 65.625 (59.835) Prec@5 80.469 (81.437) Epoch: [58][8720/10010] Time 0.315 (0.326) Data 0.001 (0.001) Loss 1.9466 (1.7619) Prec@1 50.781 (59.832) Prec@5 78.906 (81.437) Epoch: [58][8730/10010] Time 0.312 (0.326) Data 0.001 (0.001) Loss 1.4836 (1.7618) Prec@1 61.719 (59.834) Prec@5 86.719 (81.440) Epoch: [58][8740/10010] Time 0.339 (0.326) Data 0.000 (0.001) Loss 1.8210 (1.7617) Prec@1 57.031 (59.835) Prec@5 82.031 (81.441) Epoch: [58][8750/10010] Time 0.328 (0.326) Data 0.001 (0.001) Loss 1.8980 (1.7618) Prec@1 56.250 (59.834) Prec@5 82.812 (81.440) Epoch: [58][8760/10010] Time 0.333 (0.326) Data 0.001 (0.001) Loss 1.6507 (1.7617) Prec@1 57.031 (59.836) Prec@5 82.812 (81.441) Epoch: [58][8770/10010] Time 0.326 (0.326) Data 0.001 (0.001) Loss 1.8956 (1.7619) Prec@1 52.344 (59.832) Prec@5 76.562 (81.440) Epoch: [58][8780/10010] Time 0.318 (0.326) Data 0.001 (0.001) Loss 1.7711 (1.7619) Prec@1 60.156 (59.834) Prec@5 82.031 (81.440) Epoch: [58][8790/10010] Time 0.321 (0.326) Data 0.000 (0.001) Loss 1.8821 (1.7621) Prec@1 56.250 (59.830) Prec@5 79.688 (81.437) Epoch: [58][8800/10010] Time 0.314 (0.326) Data 0.001 (0.001) Loss 1.7035 (1.7621) Prec@1 59.375 (59.829) Prec@5 79.688 (81.435) Epoch: [58][8810/10010] Time 0.317 (0.326) Data 0.000 (0.001) Loss 1.7243 (1.7621) Prec@1 59.375 (59.831) Prec@5 82.812 (81.435) Epoch: [58][8820/10010] Time 0.320 (0.326) Data 0.001 (0.001) Loss 2.0727 (1.7620) Prec@1 53.906 (59.833) Prec@5 76.562 (81.435) Epoch: [58][8830/10010] Time 0.337 (0.326) Data 0.001 (0.001) Loss 2.0262 (1.7620) Prec@1 55.469 (59.834) Prec@5 79.688 (81.435) Epoch: [58][8840/10010] Time 0.335 (0.326) Data 0.001 (0.001) Loss 2.0142 (1.7620) Prec@1 48.438 (59.834) Prec@5 78.906 (81.434) Epoch: [58][8850/10010] Time 0.322 (0.326) Data 0.001 (0.001) Loss 1.9488 (1.7620) Prec@1 45.312 (59.832) Prec@5 78.906 (81.434) Epoch: [58][8860/10010] Time 0.323 (0.326) Data 0.000 (0.001) Loss 1.5660 (1.7620) Prec@1 57.031 (59.833) Prec@5 83.594 (81.434) Epoch: [58][8870/10010] Time 0.327 (0.326) Data 0.000 (0.001) Loss 2.0196 (1.7619) Prec@1 55.469 (59.833) Prec@5 76.562 (81.435) Epoch: [58][8880/10010] Time 0.313 (0.326) Data 0.000 (0.001) Loss 1.9000 (1.7618) Prec@1 58.594 (59.835) Prec@5 78.125 (81.436) Epoch: [58][8890/10010] Time 0.324 (0.326) Data 0.001 (0.001) Loss 1.7228 (1.7617) Prec@1 58.594 (59.836) Prec@5 83.594 (81.438) Epoch: [58][8900/10010] Time 0.327 (0.326) Data 0.000 (0.001) Loss 1.4266 (1.7618) Prec@1 69.531 (59.832) Prec@5 86.719 (81.436) Epoch: [58][8910/10010] Time 0.324 (0.326) Data 0.001 (0.001) Loss 1.6122 (1.7618) Prec@1 64.062 (59.833) Prec@5 82.812 (81.435) Epoch: [58][8920/10010] Time 0.343 (0.326) Data 0.000 (0.001) Loss 2.1819 (1.7618) Prec@1 50.000 (59.832) Prec@5 75.000 (81.436) Epoch: [58][8930/10010] Time 0.313 (0.326) Data 0.001 (0.001) Loss 1.9456 (1.7620) Prec@1 55.469 (59.828) Prec@5 79.688 (81.434) Epoch: [58][8940/10010] Time 0.314 (0.326) Data 0.001 (0.001) Loss 1.5532 (1.7620) Prec@1 67.188 (59.828) Prec@5 84.375 (81.433) Epoch: [58][8950/10010] Time 0.316 (0.326) Data 0.000 (0.001) Loss 1.6654 (1.7622) Prec@1 62.500 (59.826) Prec@5 86.719 (81.431) Epoch: [58][8960/10010] Time 0.327 (0.326) Data 0.001 (0.001) Loss 1.9451 (1.7621) Prec@1 52.344 (59.827) Prec@5 79.688 (81.431) Epoch: [58][8970/10010] Time 0.330 (0.326) Data 0.000 (0.001) Loss 1.7959 (1.7622) Prec@1 54.688 (59.824) Prec@5 78.125 (81.429) Epoch: [58][8980/10010] Time 0.341 (0.326) Data 0.000 (0.001) Loss 1.8058 (1.7622) Prec@1 55.469 (59.824) Prec@5 82.031 (81.431) Epoch: [58][8990/10010] Time 0.336 (0.326) Data 0.001 (0.001) Loss 1.8839 (1.7623) Prec@1 53.125 (59.822) Prec@5 76.562 (81.429) Epoch: [58][9000/10010] Time 0.333 (0.326) Data 0.001 (0.001) Loss 1.6955 (1.7624) Prec@1 57.031 (59.820) Prec@5 82.031 (81.428) Epoch: [58][9010/10010] Time 0.312 (0.326) Data 0.001 (0.001) Loss 1.6994 (1.7625) Prec@1 62.500 (59.819) Prec@5 80.469 (81.427) Epoch: [58][9020/10010] Time 0.324 (0.326) Data 0.001 (0.001) Loss 1.7413 (1.7625) Prec@1 60.938 (59.820) Prec@5 79.688 (81.427) Epoch: [58][9030/10010] Time 0.332 (0.326) Data 0.001 (0.001) Loss 1.8501 (1.7625) Prec@1 57.812 (59.823) Prec@5 77.344 (81.426) Epoch: [58][9040/10010] Time 0.337 (0.326) Data 0.001 (0.001) Loss 1.8300 (1.7625) Prec@1 57.031 (59.822) Prec@5 81.250 (81.427) Epoch: [58][9050/10010] Time 0.314 (0.326) Data 0.001 (0.001) Loss 1.7544 (1.7625) Prec@1 57.031 (59.822) Prec@5 81.250 (81.426) Epoch: [58][9060/10010] Time 0.333 (0.326) Data 0.000 (0.001) Loss 2.1551 (1.7626) Prec@1 57.812 (59.823) Prec@5 72.656 (81.425) Epoch: [58][9070/10010] Time 0.332 (0.326) Data 0.001 (0.001) Loss 1.8735 (1.7626) Prec@1 60.938 (59.821) Prec@5 82.812 (81.423) Epoch: [58][9080/10010] Time 0.332 (0.326) Data 0.000 (0.001) Loss 1.8787 (1.7626) Prec@1 56.250 (59.822) Prec@5 82.812 (81.423) Epoch: [58][9090/10010] Time 0.335 (0.326) Data 0.001 (0.001) Loss 1.6099 (1.7627) Prec@1 65.625 (59.820) Prec@5 82.031 (81.420) Epoch: [58][9100/10010] Time 0.317 (0.326) Data 0.001 (0.001) Loss 2.0025 (1.7627) Prec@1 54.688 (59.819) Prec@5 78.906 (81.421) Epoch: [58][9110/10010] Time 0.336 (0.326) Data 0.001 (0.001) Loss 1.6000 (1.7627) Prec@1 64.844 (59.820) Prec@5 82.031 (81.419) Epoch: [58][9120/10010] Time 0.334 (0.326) Data 0.001 (0.001) Loss 1.8309 (1.7627) Prec@1 64.844 (59.822) Prec@5 82.031 (81.420) Epoch: [58][9130/10010] Time 0.327 (0.326) Data 0.001 (0.001) Loss 1.9061 (1.7626) Prec@1 54.688 (59.824) Prec@5 79.688 (81.420) Epoch: [58][9140/10010] Time 0.308 (0.326) Data 0.001 (0.001) Loss 1.9079 (1.7626) Prec@1 57.031 (59.824) Prec@5 81.250 (81.419) Epoch: [58][9150/10010] Time 0.324 (0.326) Data 0.001 (0.001) Loss 1.7146 (1.7625) Prec@1 64.062 (59.826) Prec@5 83.594 (81.419) Epoch: [58][9160/10010] Time 0.319 (0.326) Data 0.001 (0.001) Loss 1.7849 (1.7625) Prec@1 67.188 (59.827) Prec@5 78.906 (81.421) Epoch: [58][9170/10010] Time 0.317 (0.327) Data 0.001 (0.001) Loss 2.0429 (1.7625) Prec@1 48.438 (59.824) Prec@5 77.344 (81.419) Epoch: [58][9180/10010] Time 0.324 (0.326) Data 0.001 (0.001) Loss 2.2430 (1.7626) Prec@1 51.562 (59.824) Prec@5 75.781 (81.416) Epoch: [58][9190/10010] Time 0.335 (0.327) Data 0.001 (0.001) Loss 1.7419 (1.7626) Prec@1 58.594 (59.822) Prec@5 78.125 (81.415) Epoch: [58][9200/10010] Time 0.335 (0.327) Data 0.000 (0.001) Loss 1.7873 (1.7627) Prec@1 56.250 (59.822) Prec@5 80.469 (81.415) Epoch: [58][9210/10010] Time 0.350 (0.327) Data 0.000 (0.001) Loss 1.5472 (1.7628) Prec@1 62.500 (59.821) Prec@5 80.469 (81.415) Epoch: [58][9220/10010] Time 0.311 (0.327) Data 0.001 (0.001) Loss 2.0389 (1.7628) Prec@1 53.125 (59.820) Prec@5 73.438 (81.413) Epoch: [58][9230/10010] Time 0.336 (0.327) Data 0.001 (0.001) Loss 1.5916 (1.7628) Prec@1 64.844 (59.819) Prec@5 85.938 (81.413) Epoch: [58][9240/10010] Time 0.338 (0.327) Data 0.001 (0.001) Loss 2.2666 (1.7629) Prec@1 50.781 (59.818) Prec@5 75.781 (81.412) Epoch: [58][9250/10010] Time 0.313 (0.327) Data 0.000 (0.001) Loss 1.7010 (1.7629) Prec@1 58.594 (59.818) Prec@5 84.375 (81.414) Epoch: [58][9260/10010] Time 0.330 (0.327) Data 0.001 (0.001) Loss 2.0457 (1.7629) Prec@1 51.562 (59.816) Prec@5 78.125 (81.413) Epoch: [58][9270/10010] Time 0.319 (0.327) Data 0.001 (0.001) Loss 1.9796 (1.7630) Prec@1 54.688 (59.815) Prec@5 73.438 (81.412) Epoch: [58][9280/10010] Time 0.329 (0.327) Data 0.001 (0.001) Loss 1.7118 (1.7630) Prec@1 61.719 (59.814) Prec@5 81.250 (81.410) Epoch: [58][9290/10010] Time 0.339 (0.327) Data 0.000 (0.001) Loss 1.7569 (1.7629) Prec@1 57.812 (59.814) Prec@5 84.375 (81.412) Epoch: [58][9300/10010] Time 0.314 (0.327) Data 0.000 (0.001) Loss 1.4628 (1.7630) Prec@1 67.969 (59.814) Prec@5 83.594 (81.410) Epoch: [58][9310/10010] Time 0.340 (0.327) Data 0.001 (0.001) Loss 1.6222 (1.7630) Prec@1 64.062 (59.814) Prec@5 84.375 (81.410) Epoch: [58][9320/10010] Time 0.322 (0.327) Data 0.001 (0.001) Loss 1.7296 (1.7630) Prec@1 64.062 (59.815) Prec@5 80.469 (81.410) Epoch: [58][9330/10010] Time 0.337 (0.327) Data 0.001 (0.001) Loss 1.7352 (1.7630) Prec@1 56.250 (59.816) Prec@5 82.812 (81.410) Epoch: [58][9340/10010] Time 0.336 (0.327) Data 0.001 (0.001) Loss 1.9629 (1.7630) Prec@1 53.125 (59.816) Prec@5 77.344 (81.410) Epoch: [58][9350/10010] Time 0.337 (0.327) Data 0.001 (0.001) Loss 1.8269 (1.7630) Prec@1 63.281 (59.815) Prec@5 82.031 (81.409) Epoch: [58][9360/10010] Time 0.332 (0.327) Data 0.001 (0.001) Loss 1.5939 (1.7631) Prec@1 62.500 (59.814) Prec@5 81.250 (81.408) Epoch: [58][9370/10010] Time 0.317 (0.327) Data 0.001 (0.001) Loss 1.6619 (1.7631) Prec@1 54.688 (59.814) Prec@5 80.469 (81.408) Epoch: [58][9380/10010] Time 0.335 (0.327) Data 0.001 (0.001) Loss 1.8032 (1.7632) Prec@1 53.906 (59.811) Prec@5 81.250 (81.408) Epoch: [58][9390/10010] Time 0.342 (0.327) Data 0.001 (0.001) Loss 1.7943 (1.7632) Prec@1 60.156 (59.810) Prec@5 80.469 (81.408) Epoch: [58][9400/10010] Time 0.321 (0.327) Data 0.001 (0.001) Loss 1.7876 (1.7633) Prec@1 62.500 (59.808) Prec@5 80.469 (81.406) Epoch: [58][9410/10010] Time 0.319 (0.327) Data 0.000 (0.001) Loss 1.8565 (1.7632) Prec@1 60.156 (59.810) Prec@5 80.469 (81.406) Epoch: [58][9420/10010] Time 0.336 (0.327) Data 0.001 (0.001) Loss 1.6689 (1.7633) Prec@1 60.938 (59.808) Prec@5 79.688 (81.405) Epoch: [58][9430/10010] Time 0.318 (0.327) Data 0.000 (0.001) Loss 1.8112 (1.7633) Prec@1 53.906 (59.807) Prec@5 81.250 (81.405) Epoch: [58][9440/10010] Time 0.316 (0.327) Data 0.001 (0.001) Loss 2.0699 (1.7635) Prec@1 52.344 (59.804) Prec@5 72.656 (81.402) Epoch: [58][9450/10010] Time 0.330 (0.327) Data 0.001 (0.001) Loss 2.0197 (1.7635) Prec@1 59.375 (59.805) Prec@5 76.562 (81.401) Epoch: [58][9460/10010] Time 0.337 (0.327) Data 0.001 (0.001) Loss 1.4273 (1.7636) Prec@1 69.531 (59.803) Prec@5 88.281 (81.400) Epoch: [58][9470/10010] Time 0.328 (0.327) Data 0.001 (0.001) Loss 1.5116 (1.7636) Prec@1 65.625 (59.805) Prec@5 82.812 (81.399) Epoch: [58][9480/10010] Time 0.331 (0.327) Data 0.001 (0.001) Loss 1.9584 (1.7636) Prec@1 58.594 (59.805) Prec@5 78.906 (81.400) Epoch: [58][9490/10010] Time 0.314 (0.327) Data 0.001 (0.001) Loss 1.7744 (1.7636) Prec@1 53.906 (59.805) Prec@5 78.125 (81.399) Epoch: [58][9500/10010] Time 0.315 (0.327) Data 0.000 (0.001) Loss 1.9120 (1.7636) Prec@1 60.938 (59.806) Prec@5 77.344 (81.398) Epoch: [58][9510/10010] Time 0.340 (0.327) Data 0.001 (0.001) Loss 1.2694 (1.7636) Prec@1 68.750 (59.806) Prec@5 91.406 (81.399) Epoch: [58][9520/10010] Time 0.328 (0.327) Data 0.001 (0.001) Loss 2.0192 (1.7636) Prec@1 57.812 (59.806) Prec@5 76.562 (81.398) Epoch: [58][9530/10010] Time 0.325 (0.327) Data 0.001 (0.001) Loss 1.5668 (1.7637) Prec@1 59.375 (59.805) Prec@5 84.375 (81.396) Epoch: [58][9540/10010] Time 0.310 (0.327) Data 0.001 (0.001) Loss 1.8983 (1.7638) Prec@1 53.125 (59.803) Prec@5 78.125 (81.396) Epoch: [58][9550/10010] Time 0.330 (0.327) Data 0.001 (0.001) Loss 1.7879 (1.7638) Prec@1 60.938 (59.803) Prec@5 82.031 (81.394) Epoch: [58][9560/10010] Time 0.322 (0.327) Data 0.001 (0.001) Loss 1.7131 (1.7639) Prec@1 57.812 (59.800) Prec@5 82.812 (81.394) Epoch: [58][9570/10010] Time 0.327 (0.327) Data 0.001 (0.001) Loss 2.3985 (1.7641) Prec@1 47.656 (59.796) Prec@5 72.656 (81.391) Epoch: [58][9580/10010] Time 0.311 (0.327) Data 0.001 (0.001) Loss 1.9379 (1.7641) Prec@1 61.719 (59.794) Prec@5 78.125 (81.391) Epoch: [58][9590/10010] Time 0.316 (0.327) Data 0.000 (0.001) Loss 1.8635 (1.7642) Prec@1 54.688 (59.791) Prec@5 80.469 (81.390) Epoch: [58][9600/10010] Time 0.336 (0.327) Data 0.001 (0.001) Loss 1.7106 (1.7641) Prec@1 60.938 (59.793) Prec@5 83.594 (81.391) Epoch: [58][9610/10010] Time 0.338 (0.327) Data 0.000 (0.001) Loss 1.7643 (1.7641) Prec@1 64.062 (59.795) Prec@5 78.906 (81.389) Epoch: [58][9620/10010] Time 0.325 (0.327) Data 0.001 (0.001) Loss 1.7521 (1.7642) Prec@1 61.719 (59.795) Prec@5 83.594 (81.388) Epoch: [58][9630/10010] Time 0.313 (0.327) Data 0.001 (0.001) Loss 1.8537 (1.7642) Prec@1 59.375 (59.796) Prec@5 82.812 (81.389) Epoch: [58][9640/10010] Time 0.330 (0.327) Data 0.001 (0.001) Loss 1.6766 (1.7642) Prec@1 65.625 (59.797) Prec@5 83.594 (81.388) Epoch: [58][9650/10010] Time 0.322 (0.327) Data 0.001 (0.001) Loss 1.8896 (1.7643) Prec@1 62.500 (59.797) Prec@5 78.906 (81.387) Epoch: [58][9660/10010] Time 0.337 (0.327) Data 0.000 (0.001) Loss 1.9405 (1.7642) Prec@1 57.031 (59.797) Prec@5 78.125 (81.388) Epoch: [58][9670/10010] Time 0.317 (0.327) Data 0.001 (0.001) Loss 1.5491 (1.7642) Prec@1 62.500 (59.796) Prec@5 85.156 (81.388) Epoch: [58][9680/10010] Time 0.325 (0.327) Data 0.000 (0.001) Loss 1.8890 (1.7642) Prec@1 57.812 (59.796) Prec@5 78.125 (81.388) Epoch: [58][9690/10010] Time 0.311 (0.327) Data 0.001 (0.001) Loss 1.7275 (1.7643) Prec@1 57.812 (59.794) Prec@5 81.250 (81.386) Epoch: [58][9700/10010] Time 0.331 (0.327) Data 0.001 (0.001) Loss 1.8904 (1.7643) Prec@1 53.125 (59.794) Prec@5 80.469 (81.386) Epoch: [58][9710/10010] Time 0.334 (0.327) Data 0.001 (0.001) Loss 2.0779 (1.7644) Prec@1 43.750 (59.792) Prec@5 78.906 (81.386) Epoch: [58][9720/10010] Time 0.328 (0.327) Data 0.001 (0.001) Loss 1.5277 (1.7643) Prec@1 66.406 (59.793) Prec@5 85.156 (81.387) Epoch: [58][9730/10010] Time 0.320 (0.327) Data 0.000 (0.001) Loss 1.8183 (1.7644) Prec@1 61.719 (59.791) Prec@5 78.906 (81.386) Epoch: [58][9740/10010] Time 0.328 (0.327) Data 0.001 (0.001) Loss 1.9801 (1.7645) Prec@1 47.656 (59.787) Prec@5 78.125 (81.385) Epoch: [58][9750/10010] Time 0.332 (0.327) Data 0.001 (0.001) Loss 2.0145 (1.7645) Prec@1 62.500 (59.788) Prec@5 76.562 (81.384) Epoch: [58][9760/10010] Time 0.319 (0.327) Data 0.001 (0.001) Loss 1.7455 (1.7645) Prec@1 55.469 (59.788) Prec@5 80.469 (81.384) Epoch: [58][9770/10010] Time 0.319 (0.327) Data 0.000 (0.001) Loss 2.0482 (1.7646) Prec@1 55.469 (59.786) Prec@5 77.344 (81.382) Epoch: [58][9780/10010] Time 0.329 (0.327) Data 0.001 (0.001) Loss 1.7909 (1.7646) Prec@1 61.719 (59.785) Prec@5 83.594 (81.381) Epoch: [58][9790/10010] Time 0.339 (0.327) Data 0.001 (0.001) Loss 1.7392 (1.7647) Prec@1 58.594 (59.784) Prec@5 84.375 (81.382) Epoch: [58][9800/10010] Time 0.334 (0.327) Data 0.001 (0.001) Loss 1.6376 (1.7647) Prec@1 63.281 (59.785) Prec@5 78.125 (81.382) Epoch: [58][9810/10010] Time 0.318 (0.327) Data 0.001 (0.001) Loss 1.8106 (1.7647) Prec@1 60.156 (59.785) Prec@5 81.250 (81.382) Epoch: [58][9820/10010] Time 0.330 (0.327) Data 0.000 (0.001) Loss 1.6459 (1.7647) Prec@1 65.625 (59.785) Prec@5 82.812 (81.381) Epoch: [58][9830/10010] Time 0.343 (0.327) Data 0.001 (0.001) Loss 1.5775 (1.7648) Prec@1 60.938 (59.785) Prec@5 88.281 (81.380) Epoch: [58][9840/10010] Time 0.319 (0.327) Data 0.001 (0.001) Loss 1.7116 (1.7647) Prec@1 60.938 (59.787) Prec@5 79.688 (81.380) Epoch: [58][9850/10010] Time 0.319 (0.327) Data 0.000 (0.001) Loss 1.5217 (1.7646) Prec@1 62.500 (59.789) Prec@5 84.375 (81.382) Epoch: [58][9860/10010] Time 0.322 (0.327) Data 0.000 (0.001) Loss 2.0294 (1.7646) Prec@1 56.250 (59.788) Prec@5 79.688 (81.382) Epoch: [58][9870/10010] Time 0.332 (0.327) Data 0.001 (0.001) Loss 1.8589 (1.7647) Prec@1 55.469 (59.786) Prec@5 79.688 (81.381) Epoch: [58][9880/10010] Time 0.332 (0.327) Data 0.001 (0.001) Loss 1.8833 (1.7646) Prec@1 59.375 (59.789) Prec@5 82.031 (81.383) Epoch: [58][9890/10010] Time 0.318 (0.327) Data 0.001 (0.001) Loss 1.7755 (1.7646) Prec@1 57.812 (59.788) Prec@5 79.688 (81.383) Epoch: [58][9900/10010] Time 0.346 (0.327) Data 0.000 (0.001) Loss 1.9056 (1.7646) Prec@1 57.031 (59.790) Prec@5 81.250 (81.384) Epoch: [58][9910/10010] Time 0.318 (0.327) Data 0.001 (0.001) Loss 2.0259 (1.7646) Prec@1 53.906 (59.790) Prec@5 75.000 (81.384) Epoch: [58][9920/10010] Time 0.337 (0.327) Data 0.001 (0.001) Loss 1.7931 (1.7646) Prec@1 57.031 (59.789) Prec@5 82.812 (81.384) Epoch: [58][9930/10010] Time 0.316 (0.327) Data 0.001 (0.001) Loss 1.5922 (1.7646) Prec@1 62.500 (59.790) Prec@5 83.594 (81.383) Epoch: [58][9940/10010] Time 0.316 (0.327) Data 0.001 (0.001) Loss 1.9669 (1.7647) Prec@1 55.469 (59.786) Prec@5 78.125 (81.383) Epoch: [58][9950/10010] Time 0.341 (0.327) Data 0.000 (0.001) Loss 1.9557 (1.7648) Prec@1 54.688 (59.787) Prec@5 75.000 (81.382) Epoch: [58][9960/10010] Time 0.339 (0.327) Data 0.001 (0.001) Loss 1.7217 (1.7647) Prec@1 59.375 (59.787) Prec@5 83.594 (81.383) Epoch: [58][9970/10010] Time 0.315 (0.327) Data 0.000 (0.001) Loss 1.9184 (1.7648) Prec@1 59.375 (59.785) Prec@5 79.688 (81.381) Epoch: [58][9980/10010] Time 0.316 (0.327) Data 0.001 (0.001) Loss 1.6795 (1.7648) Prec@1 64.062 (59.785) Prec@5 82.031 (81.382) Epoch: [58][9990/10010] Time 0.336 (0.327) Data 0.001 (0.001) Loss 1.8785 (1.7648) Prec@1 57.031 (59.786) Prec@5 80.469 (81.380) Epoch: [58][10000/10010] Time 0.313 (0.327) Data 0.000 (0.001) Loss 1.5241 (1.7648) Prec@1 67.969 (59.786) Prec@5 82.812 (81.381) Test: [0/391] Time 1.309 (1.309) Loss 0.7878 (0.7878) Prec@1 82.031 (82.031) Prec@5 92.188 (92.188) Test: [10/391] Time 0.107 (0.219) Loss 1.6529 (0.8326) Prec@1 63.281 (79.901) Prec@5 85.156 (93.466) Test: [20/391] Time 0.105 (0.166) Loss 0.9772 (1.1137) Prec@1 71.875 (72.061) Prec@5 91.406 (90.290) Test: [30/391] Time 0.103 (0.149) Loss 1.9506 (1.2506) Prec@1 60.938 (68.422) Prec@5 85.938 (89.667) Test: [40/391] Time 0.112 (0.138) Loss 1.2076 (1.1361) Prec@1 72.656 (71.532) Prec@5 88.281 (90.530) Test: [50/391] Time 0.108 (0.132) Loss 0.5182 (1.1764) Prec@1 87.500 (71.124) Prec@5 96.875 (90.028) Test: [60/391] Time 0.115 (0.128) Loss 1.1484 (1.1176) Prec@1 69.531 (72.515) Prec@5 92.188 (90.574) Test: [70/391] Time 0.104 (0.126) Loss 1.3702 (1.1507) Prec@1 60.938 (71.314) Prec@5 92.969 (90.504) Test: [80/391] Time 0.124 (0.124) Loss 1.1120 (1.1734) Prec@1 68.750 (70.216) Prec@5 92.188 (90.529) Test: [90/391] Time 0.102 (0.122) Loss 1.3149 (1.1725) Prec@1 58.594 (70.227) Prec@5 89.844 (90.591) Test: [100/391] Time 0.107 (0.120) Loss 0.9925 (1.1663) Prec@1 71.875 (70.065) Prec@5 93.750 (90.772) Test: [110/391] Time 0.103 (0.119) Loss 1.3606 (1.1636) Prec@1 53.125 (69.855) Prec@5 92.188 (90.977) Test: [120/391] Time 0.101 (0.118) Loss 0.9113 (1.1588) Prec@1 76.562 (70.132) Prec@5 94.531 (91.019) Test: [130/391] Time 0.102 (0.117) Loss 0.6705 (1.1455) Prec@1 89.062 (70.682) Prec@5 96.094 (91.168) Test: [140/391] Time 0.113 (0.116) Loss 1.4115 (1.1528) Prec@1 64.062 (70.462) Prec@5 88.281 (91.135) Test: [150/391] Time 0.108 (0.116) Loss 1.3095 (1.1601) Prec@1 57.812 (70.400) Prec@5 89.062 (91.008) Test: [160/391] Time 0.104 (0.115) Loss 1.4062 (1.1681) Prec@1 64.844 (70.308) Prec@5 89.844 (90.887) Test: [170/391] Time 0.104 (0.115) Loss 1.6194 (1.2030) Prec@1 64.062 (69.682) Prec@5 87.500 (90.438) Test: [180/391] Time 0.113 (0.115) Loss 2.2785 (1.2353) Prec@1 44.531 (69.039) Prec@5 82.031 (89.982) Test: [190/391] Time 0.107 (0.114) Loss 2.2894 (1.2729) Prec@1 50.781 (68.304) Prec@5 85.938 (89.480) Test: [200/391] Time 0.103 (0.114) Loss 1.5120 (1.3055) Prec@1 60.938 (67.747) Prec@5 85.156 (89.016) Test: [210/391] Time 0.111 (0.114) Loss 1.9121 (1.3261) Prec@1 60.938 (67.336) Prec@5 84.375 (88.789) Test: [220/391] Time 0.114 (0.114) Loss 0.8591 (1.3357) Prec@1 79.688 (67.170) Prec@5 90.625 (88.550) Test: [230/391] Time 0.100 (0.113) Loss 2.1508 (1.3526) Prec@1 46.094 (66.876) Prec@5 75.781 (88.325) Test: [240/391] Time 0.111 (0.113) Loss 1.4598 (1.3612) Prec@1 70.312 (66.811) Prec@5 82.031 (88.126) Test: [250/391] Time 0.100 (0.112) Loss 1.2425 (1.3873) Prec@1 71.094 (66.276) Prec@5 89.844 (87.802) Test: [260/391] Time 0.111 (0.112) Loss 1.8902 (1.4076) Prec@1 60.156 (65.885) Prec@5 80.469 (87.545) Test: [270/391] Time 0.101 (0.112) Loss 2.0861 (1.4196) Prec@1 47.656 (65.611) Prec@5 80.469 (87.370) Test: [280/391] Time 0.101 (0.112) Loss 1.5348 (1.4301) Prec@1 53.906 (65.416) Prec@5 87.500 (87.250) Test: [290/391] Time 0.106 (0.112) Loss 1.9398 (1.4451) Prec@1 42.969 (65.152) Prec@5 82.812 (86.971) Test: [300/391] Time 0.103 (0.111) Loss 1.4905 (1.4565) Prec@1 71.094 (65.023) Prec@5 86.719 (86.802) Test: [310/391] Time 0.101 (0.111) Loss 2.0077 (1.4675) Prec@1 60.156 (64.831) Prec@5 79.688 (86.603) Test: [320/391] Time 0.102 (0.111) Loss 1.1230 (1.4757) Prec@1 75.000 (64.703) Prec@5 90.625 (86.495) Test: [330/391] Time 0.108 (0.111) Loss 2.0479 (1.4963) Prec@1 48.438 (64.265) Prec@5 79.688 (86.178) Test: [340/391] Time 0.107 (0.111) Loss 1.5341 (1.5045) Prec@1 51.562 (63.989) Prec@5 90.625 (86.020) Test: [350/391] Time 0.104 (0.111) Loss 1.6559 (1.5109) Prec@1 64.844 (63.873) Prec@5 87.500 (85.920) Test: [360/391] Time 0.099 (0.111) Loss 1.3737 (1.5153) Prec@1 63.281 (63.811) Prec@5 92.188 (85.903) Test: [370/391] Time 0.102 (0.111) Loss 1.5919 (1.5096) Prec@1 53.125 (63.875) Prec@5 84.375 (85.978) Test: [380/391] Time 0.101 (0.111) Loss 1.1620 (1.5139) Prec@1 70.312 (63.794) Prec@5 92.188 (85.896) Test: [390/391] Time 0.069 (0.110) Loss 2.4595 (1.5068) Prec@1 27.500 (63.950) Prec@5 73.750 (85.978) * Prec@1 63.950 Prec@5 85.978 Epoch: [59][0/10010] Time 2.521 (2.521) Data 2.337 (2.337) Loss 1.7353 (1.7353) Prec@1 57.031 (57.031) Prec@5 82.812 (82.812) Epoch: [59][10/10010] Time 0.320 (0.520) Data 0.001 (0.213) Loss 1.6774 (1.6599) Prec@1 62.500 (61.932) Prec@5 81.250 (82.884) Epoch: [59][20/10010] Time 0.316 (0.423) Data 0.001 (0.112) Loss 1.8820 (1.7253) Prec@1 60.938 (61.124) Prec@5 80.469 (82.031) Epoch: [59][30/10010] Time 0.316 (0.388) Data 0.001 (0.076) Loss 1.8085 (1.7244) Prec@1 53.125 (60.963) Prec@5 77.344 (82.107) Epoch: [59][40/10010] Time 0.326 (0.372) Data 0.000 (0.058) Loss 2.0778 (1.7534) Prec@1 57.031 (60.366) Prec@5 76.562 (81.460) Epoch: [59][50/10010] Time 0.341 (0.364) Data 0.001 (0.047) Loss 1.6823 (1.7575) Prec@1 64.062 (60.294) Prec@5 83.594 (81.235) Epoch: [59][60/10010] Time 0.317 (0.359) Data 0.001 (0.039) Loss 1.9421 (1.7578) Prec@1 52.344 (59.913) Prec@5 78.125 (81.276) Epoch: [59][70/10010] Time 0.319 (0.353) Data 0.000 (0.034) Loss 1.7233 (1.7365) Prec@1 60.156 (60.332) Prec@5 82.031 (81.547) Epoch: [59][80/10010] Time 0.319 (0.350) Data 0.001 (0.030) Loss 1.9699 (1.7488) Prec@1 53.906 (60.253) Prec@5 78.125 (81.211) Epoch: [59][90/10010] Time 0.334 (0.348) Data 0.001 (0.026) Loss 1.6703 (1.7467) Prec@1 62.500 (60.182) Prec@5 81.250 (81.413) Epoch: [59][100/10010] Time 0.320 (0.346) Data 0.001 (0.024) Loss 1.7062 (1.7275) Prec@1 58.594 (60.473) Prec@5 82.812 (81.815) Epoch: [59][110/10010] Time 0.330 (0.344) Data 0.001 (0.022) Loss 1.5003 (1.7345) Prec@1 62.500 (60.374) Prec@5 84.375 (81.722) Epoch: [59][120/10010] Time 0.319 (0.342) Data 0.001 (0.020) Loss 1.7922 (1.7313) Prec@1 60.156 (60.415) Prec@5 82.812 (81.779) Epoch: [59][130/10010] Time 0.318 (0.341) Data 0.000 (0.019) Loss 1.8392 (1.7259) Prec@1 57.812 (60.604) Prec@5 79.688 (81.924) Epoch: [59][140/10010] Time 0.327 (0.340) Data 0.001 (0.017) Loss 1.9301 (1.7314) Prec@1 59.375 (60.550) Prec@5 78.125 (81.904) Epoch: [59][150/10010] Time 0.316 (0.339) Data 0.001 (0.016) Loss 1.6210 (1.7249) Prec@1 64.844 (60.746) Prec@5 84.375 (82.083) Epoch: [59][160/10010] Time 0.333 (0.338) Data 0.001 (0.015) Loss 1.4075 (1.7237) Prec@1 67.188 (60.782) Prec@5 87.500 (82.128) Epoch: [59][170/10010] Time 0.329 (0.338) Data 0.000 (0.014) Loss 1.6290 (1.7215) Prec@1 63.281 (60.896) Prec@5 84.375 (82.100) Epoch: [59][180/10010] Time 0.328 (0.337) Data 0.001 (0.014) Loss 1.7669 (1.7245) Prec@1 60.938 (60.847) Prec@5 83.594 (82.083) Epoch: [59][190/10010] Time 0.335 (0.336) Data 0.001 (0.013) Loss 1.7342 (1.7259) Prec@1 60.938 (60.770) Prec@5 82.812 (82.056) Epoch: [59][200/10010] Time 0.315 (0.335) Data 0.001 (0.012) Loss 1.8745 (1.7304) Prec@1 60.938 (60.654) Prec@5 78.906 (81.926) Epoch: [59][210/10010] Time 0.322 (0.335) Data 0.001 (0.012) Loss 1.6425 (1.7303) Prec@1 59.375 (60.626) Prec@5 84.375 (81.920) Epoch: [59][220/10010] Time 0.328 (0.334) Data 0.001 (0.011) Loss 1.8126 (1.7315) Prec@1 60.156 (60.549) Prec@5 78.125 (81.862) Epoch: [59][230/10010] Time 0.315 (0.334) Data 0.001 (0.011) Loss 1.6644 (1.7292) Prec@1 63.281 (60.606) Prec@5 78.906 (81.906) Epoch: [59][240/10010] Time 0.320 (0.334) Data 0.001 (0.010) Loss 1.8030 (1.7305) Prec@1 57.031 (60.548) Prec@5 85.156 (81.898) Epoch: [59][250/10010] Time 0.323 (0.333) Data 0.000 (0.010) Loss 1.3971 (1.7353) Prec@1 68.750 (60.402) Prec@5 87.500 (81.829) Epoch: [59][260/10010] Time 0.330 (0.333) Data 0.001 (0.010) Loss 1.7950 (1.7326) Prec@1 61.719 (60.444) Prec@5 78.125 (81.888) Epoch: [59][270/10010] Time 0.317 (0.333) Data 0.000 (0.009) Loss 1.8268 (1.7340) Prec@1 62.500 (60.499) Prec@5 79.688 (81.896) Epoch: [59][280/10010] Time 0.342 (0.332) Data 0.001 (0.009) Loss 1.5314 (1.7317) Prec@1 64.062 (60.543) Prec@5 85.156 (81.956) Epoch: [59][290/10010] Time 0.319 (0.332) Data 0.001 (0.009) Loss 1.5819 (1.7303) Prec@1 68.750 (60.559) Prec@5 82.031 (81.959) Epoch: [59][300/10010] Time 0.319 (0.332) Data 0.001 (0.008) Loss 1.8426 (1.7317) Prec@1 62.500 (60.535) Prec@5 79.688 (81.909) Epoch: [59][310/10010] Time 0.324 (0.331) Data 0.001 (0.008) Loss 1.5246 (1.7312) Prec@1 58.594 (60.576) Prec@5 87.500 (81.941) Epoch: [59][320/10010] Time 0.328 (0.332) Data 0.001 (0.008) Loss 1.8248 (1.7319) Prec@1 59.375 (60.551) Prec@5 77.344 (81.922) Epoch: [59][330/10010] Time 0.327 (0.331) Data 0.001 (0.008) Loss 1.5225 (1.7312) Prec@1 66.406 (60.557) Prec@5 86.719 (81.920) Epoch: [59][340/10010] Time 0.325 (0.331) Data 0.001 (0.008) Loss 1.8744 (1.7332) Prec@1 56.250 (60.504) Prec@5 81.250 (81.875) Epoch: [59][350/10010] Time 0.334 (0.331) Data 0.000 (0.007) Loss 1.7835 (1.7336) Prec@1 56.250 (60.483) Prec@5 81.250 (81.867) Epoch: [59][360/10010] Time 0.319 (0.331) Data 0.001 (0.007) Loss 1.5314 (1.7342) Prec@1 66.406 (60.418) Prec@5 85.938 (81.880) Epoch: [59][370/10010] Time 0.324 (0.331) Data 0.001 (0.007) Loss 2.0207 (1.7345) Prec@1 53.125 (60.377) Prec@5 78.906 (81.873) Epoch: [59][380/10010] Time 0.319 (0.330) Data 0.001 (0.007) Loss 1.8626 (1.7367) Prec@1 57.031 (60.324) Prec@5 82.812 (81.859) Epoch: [59][390/10010] Time 0.320 (0.330) Data 0.001 (0.007) Loss 2.3721 (1.7382) Prec@1 50.781 (60.282) Prec@5 73.438 (81.841) Epoch: [59][400/10010] Time 0.326 (0.330) Data 0.001 (0.006) Loss 1.9542 (1.7387) Prec@1 56.250 (60.269) Prec@5 75.000 (81.836) Epoch: [59][410/10010] Time 0.318 (0.330) Data 0.000 (0.006) Loss 2.0359 (1.7379) Prec@1 57.812 (60.297) Prec@5 76.562 (81.837) Epoch: [59][420/10010] Time 0.323 (0.330) Data 0.001 (0.006) Loss 1.8345 (1.7391) Prec@1 58.594 (60.262) Prec@5 82.812 (81.846) Epoch: [59][430/10010] Time 0.322 (0.330) Data 0.001 (0.006) Loss 1.5623 (1.7364) Prec@1 60.938 (60.285) Prec@5 88.281 (81.917) Epoch: [59][440/10010] Time 0.344 (0.330) Data 0.000 (0.006) Loss 1.8986 (1.7353) Prec@1 55.469 (60.369) Prec@5 78.125 (81.920) Epoch: [59][450/10010] Time 0.314 (0.330) Data 0.000 (0.006) Loss 2.0870 (1.7368) Prec@1 54.688 (60.343) Prec@5 75.781 (81.905) Epoch: [59][460/10010] Time 0.325 (0.330) Data 0.001 (0.006) Loss 1.8444 (1.7356) Prec@1 57.031 (60.349) Prec@5 81.250 (81.924) Epoch: [59][470/10010] Time 0.338 (0.330) Data 0.001 (0.006) Loss 1.8477 (1.7355) Prec@1 54.688 (60.357) Prec@5 82.031 (81.928) Epoch: [59][480/10010] Time 0.319 (0.330) Data 0.001 (0.006) Loss 1.5897 (1.7347) Prec@1 60.938 (60.353) Prec@5 82.812 (81.935) Epoch: [59][490/10010] Time 0.328 (0.330) Data 0.001 (0.005) Loss 1.5215 (1.7368) Prec@1 64.062 (60.341) Prec@5 86.719 (81.906) Epoch: [59][500/10010] Time 0.331 (0.329) Data 0.001 (0.005) Loss 1.9327 (1.7358) Prec@1 56.250 (60.351) Prec@5 80.469 (81.914) Epoch: [59][510/10010] Time 0.324 (0.329) Data 0.001 (0.005) Loss 1.7449 (1.7372) Prec@1 59.375 (60.323) Prec@5 78.125 (81.906) Epoch: [59][520/10010] Time 0.316 (0.329) Data 0.001 (0.005) Loss 1.5283 (1.7351) Prec@1 60.938 (60.351) Prec@5 83.594 (81.938) Epoch: [59][530/10010] Time 0.311 (0.329) Data 0.001 (0.005) Loss 1.7625 (1.7361) Prec@1 64.062 (60.356) Prec@5 78.125 (81.908) Epoch: [59][540/10010] Time 0.338 (0.329) Data 0.001 (0.005) Loss 1.9537 (1.7359) Prec@1 54.688 (60.356) Prec@5 78.906 (81.916) Epoch: [59][550/10010] Time 0.330 (0.329) Data 0.001 (0.005) Loss 2.0857 (1.7368) Prec@1 55.469 (60.358) Prec@5 75.781 (81.888) Epoch: [59][560/10010] Time 0.330 (0.329) Data 0.001 (0.005) Loss 1.8551 (1.7380) Prec@1 53.906 (60.316) Prec@5 78.906 (81.850) Epoch: [59][570/10010] Time 0.328 (0.329) Data 0.000 (0.005) Loss 2.1064 (1.7387) Prec@1 60.156 (60.322) Prec@5 78.125 (81.841) Epoch: [59][580/10010] Time 0.335 (0.329) Data 0.001 (0.005) Loss 1.7847 (1.7407) Prec@1 59.375 (60.297) Prec@5 78.906 (81.826) Epoch: [59][590/10010] Time 0.338 (0.329) Data 0.001 (0.005) Loss 1.5837 (1.7398) Prec@1 66.406 (60.319) Prec@5 83.594 (81.842) Epoch: [59][600/10010] Time 0.331 (0.329) Data 0.001 (0.005) Loss 1.8920 (1.7388) Prec@1 57.812 (60.340) Prec@5 79.688 (81.860) Epoch: [59][610/10010] Time 0.335 (0.329) Data 0.001 (0.004) Loss 1.6816 (1.7375) Prec@1 58.594 (60.374) Prec@5 80.469 (81.885) Epoch: [59][620/10010] Time 0.323 (0.329) Data 0.001 (0.004) Loss 2.0360 (1.7359) Prec@1 50.000 (60.381) Prec@5 78.125 (81.902) Epoch: [59][630/10010] Time 0.328 (0.329) Data 0.001 (0.004) Loss 1.5991 (1.7361) Prec@1 63.281 (60.364) Prec@5 86.719 (81.891) Epoch: [59][640/10010] Time 0.317 (0.329) Data 0.000 (0.004) Loss 2.0050 (1.7347) Prec@1 51.562 (60.365) Prec@5 78.125 (81.912) Epoch: [59][650/10010] Time 0.320 (0.329) Data 0.000 (0.004) Loss 1.4889 (1.7339) Prec@1 64.062 (60.414) Prec@5 87.500 (81.906) Epoch: [59][660/10010] Time 0.326 (0.329) Data 0.001 (0.004) Loss 1.7592 (1.7343) Prec@1 56.250 (60.388) Prec@5 81.250 (81.899) Epoch: [59][670/10010] Time 0.333 (0.329) Data 0.001 (0.004) Loss 1.9132 (1.7344) Prec@1 58.594 (60.381) Prec@5 80.469 (81.887) Epoch: [59][680/10010] Time 0.310 (0.329) Data 0.001 (0.004) Loss 1.6782 (1.7348) Prec@1 59.375 (60.382) Prec@5 84.375 (81.883) Epoch: [59][690/10010] Time 0.332 (0.329) Data 0.001 (0.004) Loss 1.4975 (1.7337) Prec@1 64.062 (60.397) Prec@5 81.250 (81.892) Epoch: [59][700/10010] Time 0.339 (0.329) Data 0.001 (0.004) Loss 1.8067 (1.7342) Prec@1 63.281 (60.394) Prec@5 77.344 (81.882) Epoch: [59][710/10010] Time 0.330 (0.329) Data 0.001 (0.004) Loss 1.6062 (1.7329) Prec@1 62.500 (60.431) Prec@5 86.719 (81.913) Epoch: [59][720/10010] Time 0.327 (0.329) Data 0.001 (0.004) Loss 2.0106 (1.7332) Prec@1 53.125 (60.428) Prec@5 76.562 (81.926) Epoch: [59][730/10010] Time 0.313 (0.329) Data 0.000 (0.004) Loss 1.5141 (1.7337) Prec@1 60.938 (60.418) Prec@5 85.156 (81.920) Epoch: [59][740/10010] Time 0.320 (0.328) Data 0.001 (0.004) Loss 1.8508 (1.7338) Prec@1 61.719 (60.420) Prec@5 78.906 (81.912) Epoch: [59][750/10010] Time 0.340 (0.328) Data 0.001 (0.004) Loss 1.7726 (1.7339) Prec@1 55.469 (60.426) Prec@5 82.812 (81.915) Epoch: [59][760/10010] Time 0.337 (0.328) Data 0.001 (0.004) Loss 1.9036 (1.7346) Prec@1 50.781 (60.416) Prec@5 75.000 (81.890) Epoch: [59][770/10010] Time 0.332 (0.329) Data 0.001 (0.004) Loss 1.6520 (1.7348) Prec@1 62.500 (60.427) Prec@5 84.375 (81.874) Epoch: [59][780/10010] Time 0.344 (0.329) Data 0.000 (0.004) Loss 1.5378 (1.7340) Prec@1 66.406 (60.453) Prec@5 85.938 (81.884) Epoch: [59][790/10010] Time 0.340 (0.329) Data 0.000 (0.004) Loss 1.8002 (1.7333) Prec@1 60.156 (60.463) Prec@5 82.031 (81.901) Epoch: [59][800/10010] Time 0.335 (0.329) Data 0.000 (0.004) Loss 1.8321 (1.7332) Prec@1 59.375 (60.456) Prec@5 79.688 (81.902) Epoch: [59][810/10010] Time 0.312 (0.329) Data 0.001 (0.004) Loss 1.5892 (1.7325) Prec@1 60.938 (60.467) Prec@5 82.812 (81.907) Epoch: [59][820/10010] Time 0.339 (0.329) Data 0.000 (0.004) Loss 1.6396 (1.7319) Prec@1 64.062 (60.482) Prec@5 78.906 (81.910) Epoch: [59][830/10010] Time 0.316 (0.329) Data 0.000 (0.003) Loss 1.7335 (1.7316) Prec@1 64.062 (60.490) Prec@5 82.812 (81.911) Epoch: [59][840/10010] Time 0.318 (0.329) Data 0.001 (0.003) Loss 2.1535 (1.7318) Prec@1 49.219 (60.476) Prec@5 73.438 (81.904) Epoch: [59][850/10010] Time 0.329 (0.329) Data 0.001 (0.003) Loss 1.6262 (1.7309) Prec@1 58.594 (60.474) Prec@5 83.594 (81.906) Epoch: [59][860/10010] Time 0.338 (0.329) Data 0.001 (0.003) Loss 1.7861 (1.7316) Prec@1 57.031 (60.448) Prec@5 77.344 (81.882) Epoch: [59][870/10010] Time 0.336 (0.329) Data 0.000 (0.003) Loss 1.5854 (1.7309) Prec@1 61.719 (60.470) Prec@5 85.156 (81.898) Epoch: [59][880/10010] Time 0.316 (0.329) Data 0.001 (0.003) Loss 1.6925 (1.7318) Prec@1 59.375 (60.458) Prec@5 85.156 (81.889) Epoch: [59][890/10010] Time 0.318 (0.329) Data 0.001 (0.003) Loss 1.6439 (1.7320) Prec@1 61.719 (60.465) Prec@5 82.812 (81.885) Epoch: [59][900/10010] Time 0.312 (0.329) Data 0.004 (0.003) Loss 1.5373 (1.7330) Prec@1 69.531 (60.453) Prec@5 87.500 (81.866) Epoch: [59][910/10010] Time 0.344 (0.329) Data 0.001 (0.003) Loss 1.8560 (1.7332) Prec@1 61.719 (60.465) Prec@5 82.031 (81.856) Epoch: [59][920/10010] Time 0.340 (0.329) Data 0.001 (0.003) Loss 1.7622 (1.7343) Prec@1 59.375 (60.460) Prec@5 80.469 (81.839) Epoch: [59][930/10010] Time 0.317 (0.329) Data 0.000 (0.003) Loss 1.6433 (1.7349) Prec@1 59.375 (60.446) Prec@5 84.375 (81.827) /data/vision/torralba/deepscene/lib/anaconda2/lib/python2.7/site-packages/PIL/TiffImagePlugin.py:692: UserWarning: Possibly corrupt EXIF data. Expecting to read 2555904 bytes but only got 0. Skipping tag 0 "Skipping tag %s" % (size, len(data), tag)) Epoch: [59][940/10010] Time 0.334 (0.329) Data 0.001 (0.003) Loss 1.7177 (1.7351) Prec@1 57.031 (60.434) Prec@5 82.812 (81.831) Epoch: [59][950/10010] Time 0.339 (0.329) Data 0.001 (0.003) Loss 1.6095 (1.7356) Prec@1 66.406 (60.430) Prec@5 85.156 (81.827) Epoch: [59][960/10010] Time 0.332 (0.329) Data 0.001 (0.003) Loss 2.3198 (1.7364) Prec@1 50.000 (60.416) Prec@5 72.656 (81.817) Epoch: [59][970/10010] Time 0.316 (0.329) Data 0.001 (0.003) Loss 1.7270 (1.7371) Prec@1 61.719 (60.412) Prec@5 83.594 (81.808) Epoch: [59][980/10010] Time 0.335 (0.329) Data 0.001 (0.003) Loss 1.6271 (1.7375) Prec@1 63.281 (60.410) Prec@5 85.938 (81.811) Epoch: [59][990/10010] Time 0.332 (0.329) Data 0.001 (0.003) Loss 1.9426 (1.7381) Prec@1 57.031 (60.405) Prec@5 75.781 (81.794) Epoch: [59][1000/10010] Time 0.332 (0.329) Data 0.000 (0.003) Loss 1.6486 (1.7381) Prec@1 62.500 (60.397) Prec@5 84.375 (81.796) Epoch: [59][1010/10010] Time 0.315 (0.329) Data 0.000 (0.003) Loss 1.7731 (1.7388) Prec@1 57.031 (60.373) Prec@5 82.812 (81.780) Epoch: [59][1020/10010] Time 0.342 (0.329) Data 0.000 (0.003) Loss 2.1035 (1.7387) Prec@1 53.906 (60.373) Prec@5 76.562 (81.779) Epoch: [59][1030/10010] Time 0.321 (0.329) Data 0.000 (0.003) Loss 1.4528 (1.7387) Prec@1 63.281 (60.368) Prec@5 87.500 (81.774) Epoch: [59][1040/10010] Time 0.315 (0.329) Data 0.001 (0.003) Loss 1.5221 (1.7400) Prec@1 69.531 (60.344) Prec@5 88.281 (81.761) Epoch: [59][1050/10010] Time 0.316 (0.329) Data 0.000 (0.003) Loss 1.4283 (1.7397) Prec@1 65.625 (60.357) Prec@5 83.594 (81.761) Epoch: [59][1060/10010] Time 0.321 (0.329) Data 0.000 (0.003) Loss 1.9431 (1.7395) Prec@1 53.125 (60.362) Prec@5 79.688 (81.762) Epoch: [59][1070/10010] Time 0.339 (0.329) Data 0.001 (0.003) Loss 1.6465 (1.7399) Prec@1 59.375 (60.360) Prec@5 80.469 (81.749) Epoch: [59][1080/10010] Time 0.317 (0.328) Data 0.001 (0.003) Loss 1.5196 (1.7400) Prec@1 63.281 (60.365) Prec@5 85.156 (81.747) Epoch: [59][1090/10010] Time 0.326 (0.328) Data 0.000 (0.003) Loss 1.5231 (1.7402) Prec@1 66.406 (60.348) Prec@5 85.156 (81.741) Epoch: [59][1100/10010] Time 0.314 (0.328) Data 0.001 (0.003) Loss 1.4457 (1.7396) Prec@1 65.625 (60.370) Prec@5 83.594 (81.743) Epoch: [59][1110/10010] Time 0.322 (0.328) Data 0.000 (0.003) Loss 1.8026 (1.7391) Prec@1 59.375 (60.373) Prec@5 81.250 (81.744) Epoch: [59][1120/10010] Time 0.330 (0.328) Data 0.001 (0.003) Loss 1.9448 (1.7388) Prec@1 56.250 (60.388) Prec@5 75.000 (81.739) Epoch: [59][1130/10010] Time 0.311 (0.328) Data 0.001 (0.003) Loss 1.9478 (1.7389) Prec@1 60.156 (60.389) Prec@5 78.125 (81.736) Epoch: [59][1140/10010] Time 0.324 (0.328) Data 0.001 (0.003) Loss 1.4544 (1.7397) Prec@1 65.625 (60.376) Prec@5 88.281 (81.729) Epoch: [59][1150/10010] Time 0.318 (0.328) Data 0.001 (0.003) Loss 1.8450 (1.7403) Prec@1 53.125 (60.369) Prec@5 80.469 (81.723) Epoch: [59][1160/10010] Time 0.330 (0.328) Data 0.001 (0.003) Loss 1.6946 (1.7403) Prec@1 60.938 (60.357) Prec@5 82.812 (81.734) Epoch: [59][1170/10010] Time 0.320 (0.328) Data 0.000 (0.003) Loss 1.7901 (1.7410) Prec@1 53.125 (60.330) Prec@5 81.250 (81.728) Epoch: [59][1180/10010] Time 0.320 (0.328) Data 0.001 (0.003) Loss 1.7585 (1.7412) Prec@1 57.031 (60.318) Prec@5 83.594 (81.734) Epoch: [59][1190/10010] Time 0.328 (0.328) Data 0.001 (0.003) Loss 1.6305 (1.7411) Prec@1 65.625 (60.307) Prec@5 82.812 (81.732) Epoch: [59][1200/10010] Time 0.331 (0.328) Data 0.001 (0.003) Loss 1.8009 (1.7414) Prec@1 58.594 (60.301) Prec@5 82.812 (81.733) Epoch: [59][1210/10010] Time 0.320 (0.328) Data 0.001 (0.003) Loss 1.6654 (1.7409) Prec@1 57.031 (60.318) Prec@5 82.031 (81.742) Epoch: [59][1220/10010] Time 0.327 (0.328) Data 0.000 (0.003) Loss 2.1267 (1.7419) Prec@1 55.469 (60.309) Prec@5 76.562 (81.732) Epoch: [59][1230/10010] Time 0.330 (0.328) Data 0.001 (0.003) Loss 1.7651 (1.7411) Prec@1 65.625 (60.323) Prec@5 79.688 (81.740) Epoch: [59][1240/10010] Time 0.335 (0.328) Data 0.001 (0.003) Loss 1.5324 (1.7408) Prec@1 64.062 (60.322) Prec@5 82.812 (81.745) Epoch: [59][1250/10010] Time 0.331 (0.328) Data 0.001 (0.003) Loss 1.8760 (1.7412) Prec@1 57.031 (60.309) Prec@5 78.906 (81.738) Epoch: [59][1260/10010] Time 0.321 (0.328) Data 0.001 (0.003) Loss 1.7620 (1.7416) Prec@1 62.500 (60.293) Prec@5 79.688 (81.728) Epoch: [59][1270/10010] Time 0.336 (0.328) Data 0.001 (0.003) Loss 2.0189 (1.7424) Prec@1 53.906 (60.272) Prec@5 78.125 (81.720) Epoch: [59][1280/10010] Time 0.315 (0.328) Data 0.001 (0.002) Loss 1.7376 (1.7416) Prec@1 60.938 (60.296) Prec@5 82.812 (81.734) Epoch: [59][1290/10010] Time 0.333 (0.328) Data 0.001 (0.002) Loss 1.7316 (1.7412) Prec@1 63.281 (60.305) Prec@5 83.594 (81.734) Epoch: [59][1300/10010] Time 0.324 (0.328) Data 0.000 (0.002) Loss 1.6352 (1.7409) Prec@1 61.719 (60.299) Prec@5 82.031 (81.738) Epoch: [59][1310/10010] Time 0.320 (0.328) Data 0.000 (0.002) Loss 1.4963 (1.7407) Prec@1 62.500 (60.301) Prec@5 83.594 (81.732) Epoch: [59][1320/10010] Time 0.319 (0.328) Data 0.001 (0.002) Loss 2.0395 (1.7411) Prec@1 53.125 (60.293) Prec@5 77.344 (81.733) Epoch: [59][1330/10010] Time 0.319 (0.328) Data 0.000 (0.002) Loss 1.9265 (1.7411) Prec@1 57.031 (60.294) Prec@5 82.031 (81.741) Epoch: [59][1340/10010] Time 0.345 (0.328) Data 0.001 (0.002) Loss 1.7790 (1.7414) Prec@1 62.500 (60.294) Prec@5 82.031 (81.732) Epoch: [59][1350/10010] Time 0.329 (0.328) Data 0.001 (0.002) Loss 1.7342 (1.7416) Prec@1 65.625 (60.294) Prec@5 83.594 (81.726) Epoch: [59][1360/10010] Time 0.330 (0.328) Data 0.001 (0.002) Loss 2.2439 (1.7422) Prec@1 53.125 (60.276) Prec@5 73.438 (81.724) Epoch: [59][1370/10010] Time 0.320 (0.328) Data 0.001 (0.002) Loss 1.5958 (1.7421) Prec@1 63.281 (60.282) Prec@5 82.812 (81.724) Epoch: [59][1380/10010] Time 0.310 (0.328) Data 0.001 (0.002) Loss 1.5675 (1.7418) Prec@1 60.156 (60.289) Prec@5 84.375 (81.734) Epoch: [59][1390/10010] Time 0.315 (0.328) Data 0.001 (0.002) Loss 1.4776 (1.7415) Prec@1 63.281 (60.292) Prec@5 86.719 (81.739) Epoch: [59][1400/10010] Time 0.336 (0.328) Data 0.001 (0.002) Loss 2.0484 (1.7423) Prec@1 58.594 (60.285) Prec@5 74.219 (81.723) Epoch: [59][1410/10010] Time 0.338 (0.328) Data 0.001 (0.002) Loss 1.8262 (1.7422) Prec@1 60.156 (60.289) Prec@5 80.469 (81.725) Epoch: [59][1420/10010] Time 0.338 (0.328) Data 0.001 (0.002) Loss 1.8650 (1.7430) Prec@1 55.469 (60.282) Prec@5 81.250 (81.716) Epoch: [59][1430/10010] Time 0.319 (0.328) Data 0.000 (0.002) Loss 1.6958 (1.7427) Prec@1 56.250 (60.277) Prec@5 81.250 (81.715) Epoch: [59][1440/10010] Time 0.338 (0.328) Data 0.000 (0.002) Loss 1.5552 (1.7425) Prec@1 60.156 (60.276) Prec@5 87.500 (81.716) Epoch: [59][1450/10010] Time 0.336 (0.328) Data 0.001 (0.002) Loss 1.8278 (1.7424) Prec@1 57.812 (60.278) Prec@5 81.250 (81.722) Epoch: [59][1460/10010] Time 0.340 (0.328) Data 0.001 (0.002) Loss 1.7007 (1.7418) Prec@1 61.719 (60.282) Prec@5 83.594 (81.732) Epoch: [59][1470/10010] Time 0.338 (0.328) Data 0.001 (0.002) Loss 1.7587 (1.7418) Prec@1 61.719 (60.286) Prec@5 82.812 (81.735) Epoch: [59][1480/10010] Time 0.314 (0.328) Data 0.001 (0.002) Loss 1.7284 (1.7417) Prec@1 59.375 (60.277) Prec@5 82.031 (81.736) Epoch: [59][1490/10010] Time 0.321 (0.328) Data 0.001 (0.002) Loss 1.7235 (1.7420) Prec@1 60.156 (60.276) Prec@5 82.812 (81.722) Epoch: [59][1500/10010] Time 0.340 (0.328) Data 0.000 (0.002) Loss 1.8103 (1.7418) Prec@1 60.938 (60.286) Prec@5 79.688 (81.725) Epoch: [59][1510/10010] Time 0.339 (0.328) Data 0.001 (0.002) Loss 1.8224 (1.7415) Prec@1 60.156 (60.308) Prec@5 80.469 (81.730) Epoch: [59][1520/10010] Time 0.319 (0.328) Data 0.001 (0.002) Loss 1.6620 (1.7411) Prec@1 60.156 (60.298) Prec@5 83.594 (81.743) Epoch: [59][1530/10010] Time 0.330 (0.328) Data 0.001 (0.002) Loss 2.1908 (1.7412) Prec@1 53.125 (60.296) Prec@5 73.438 (81.737) Epoch: [59][1540/10010] Time 0.332 (0.328) Data 0.001 (0.002) Loss 1.6252 (1.7415) Prec@1 56.250 (60.280) Prec@5 84.375 (81.736) Epoch: [59][1550/10010] Time 0.321 (0.328) Data 0.000 (0.002) Loss 1.6941 (1.7410) Prec@1 60.938 (60.292) Prec@5 82.031 (81.744) Epoch: [59][1560/10010] Time 0.316 (0.328) Data 0.001 (0.002) Loss 1.6531 (1.7408) Prec@1 64.062 (60.294) Prec@5 84.375 (81.744) Epoch: [59][1570/10010] Time 0.330 (0.328) Data 0.001 (0.002) Loss 1.5733 (1.7410) Prec@1 57.031 (60.292) Prec@5 82.812 (81.739) Epoch: [59][1580/10010] Time 0.325 (0.328) Data 0.001 (0.002) Loss 1.8423 (1.7408) Prec@1 60.156 (60.295) Prec@5 83.594 (81.747) Epoch: [59][1590/10010] Time 0.314 (0.328) Data 0.001 (0.002) Loss 1.6404 (1.7400) Prec@1 60.156 (60.303) Prec@5 84.375 (81.760) Epoch: [59][1600/10010] Time 0.337 (0.328) Data 0.000 (0.002) Loss 1.5927 (1.7399) Prec@1 62.500 (60.306) Prec@5 84.375 (81.755) Epoch: [59][1610/10010] Time 0.322 (0.328) Data 0.001 (0.002) Loss 1.6875 (1.7404) Prec@1 61.719 (60.292) Prec@5 80.469 (81.742) Epoch: [59][1620/10010] Time 0.340 (0.328) Data 0.000 (0.002) Loss 1.7054 (1.7405) Prec@1 60.156 (60.285) Prec@5 82.031 (81.742) Epoch: [59][1630/10010] Time 0.325 (0.328) Data 0.001 (0.002) Loss 1.8972 (1.7405) Prec@1 50.781 (60.278) Prec@5 77.344 (81.747) Epoch: [59][1640/10010] Time 0.335 (0.328) Data 0.001 (0.002) Loss 1.6324 (1.7405) Prec@1 56.250 (60.273) Prec@5 82.812 (81.740) Epoch: [59][1650/10010] Time 0.327 (0.328) Data 0.001 (0.002) Loss 2.0787 (1.7402) Prec@1 56.250 (60.271) Prec@5 75.781 (81.750) Epoch: [59][1660/10010] Time 0.322 (0.328) Data 0.000 (0.002) Loss 1.8702 (1.7406) Prec@1 57.812 (60.266) Prec@5 78.906 (81.740) Epoch: [59][1670/10010] Time 0.330 (0.328) Data 0.001 (0.002) Loss 1.7379 (1.7408) Prec@1 57.031 (60.248) Prec@5 82.812 (81.741) Epoch: [59][1680/10010] Time 0.338 (0.327) Data 0.001 (0.002) Loss 1.6230 (1.7410) Prec@1 60.156 (60.255) Prec@5 81.250 (81.741) Epoch: [59][1690/10010] Time 0.324 (0.328) Data 0.001 (0.002) Loss 2.1868 (1.7418) Prec@1 54.688 (60.244) Prec@5 72.656 (81.731) Epoch: [59][1700/10010] Time 0.321 (0.328) Data 0.001 (0.002) Loss 1.7299 (1.7414) Prec@1 60.938 (60.257) Prec@5 82.031 (81.740) Epoch: [59][1710/10010] Time 0.311 (0.328) Data 0.001 (0.002) Loss 1.9386 (1.7411) Prec@1 50.781 (60.253) Prec@5 79.688 (81.743) Epoch: [59][1720/10010] Time 0.327 (0.327) Data 0.001 (0.002) Loss 1.6488 (1.7410) Prec@1 63.281 (60.248) Prec@5 81.250 (81.734) Epoch: [59][1730/10010] Time 0.321 (0.327) Data 0.001 (0.002) Loss 1.9041 (1.7411) Prec@1 56.250 (60.238) Prec@5 78.125 (81.733) Epoch: [59][1740/10010] Time 0.321 (0.327) Data 0.001 (0.002) Loss 1.8804 (1.7415) Prec@1 54.688 (60.230) Prec@5 82.031 (81.728) Epoch: [59][1750/10010] Time 0.336 (0.327) Data 0.001 (0.002) Loss 1.8499 (1.7415) Prec@1 60.156 (60.223) Prec@5 78.906 (81.732) Epoch: [59][1760/10010] Time 0.339 (0.327) Data 0.001 (0.002) Loss 1.5421 (1.7410) Prec@1 67.188 (60.231) Prec@5 84.375 (81.743) Epoch: [59][1770/10010] Time 0.338 (0.327) Data 0.001 (0.002) Loss 2.0428 (1.7411) Prec@1 58.594 (60.231) Prec@5 76.562 (81.745) Epoch: [59][1780/10010] Time 0.333 (0.328) Data 0.000 (0.002) Loss 1.7989 (1.7416) Prec@1 57.031 (60.210) Prec@5 78.906 (81.728) Epoch: [59][1790/10010] Time 0.322 (0.328) Data 0.001 (0.002) Loss 1.7408 (1.7420) Prec@1 60.156 (60.202) Prec@5 82.031 (81.723) Epoch: [59][1800/10010] Time 0.313 (0.328) Data 0.000 (0.002) Loss 1.8488 (1.7414) Prec@1 55.469 (60.217) Prec@5 79.688 (81.732) Epoch: [59][1810/10010] Time 0.314 (0.328) Data 0.001 (0.002) Loss 1.6262 (1.7416) Prec@1 64.062 (60.215) Prec@5 82.812 (81.728) Epoch: [59][1820/10010] Time 0.333 (0.328) Data 0.001 (0.002) Loss 2.0641 (1.7419) Prec@1 56.250 (60.209) Prec@5 79.688 (81.724) Epoch: [59][1830/10010] Time 0.342 (0.328) Data 0.000 (0.002) Loss 1.2985 (1.7419) Prec@1 71.094 (60.213) Prec@5 86.719 (81.728) Epoch: [59][1840/10010] Time 0.322 (0.328) Data 0.001 (0.002) Loss 1.5890 (1.7415) Prec@1 64.062 (60.223) Prec@5 78.125 (81.727) Epoch: [59][1850/10010] Time 0.348 (0.328) Data 0.000 (0.002) Loss 1.6543 (1.7413) Prec@1 61.719 (60.230) Prec@5 83.594 (81.733) Epoch: [59][1860/10010] Time 0.327 (0.328) Data 0.001 (0.002) Loss 1.8040 (1.7414) Prec@1 60.156 (60.228) Prec@5 79.688 (81.732) Epoch: [59][1870/10010] Time 0.313 (0.328) Data 0.001 (0.002) Loss 1.8955 (1.7414) Prec@1 54.688 (60.222) Prec@5 82.812 (81.736) Epoch: [59][1880/10010] Time 0.337 (0.328) Data 0.000 (0.002) Loss 1.6246 (1.7418) Prec@1 64.062 (60.218) Prec@5 83.594 (81.731) Epoch: [59][1890/10010] Time 0.316 (0.328) Data 0.001 (0.002) Loss 1.9810 (1.7420) Prec@1 55.469 (60.211) Prec@5 75.781 (81.730) Epoch: [59][1900/10010] Time 0.336 (0.328) Data 0.001 (0.002) Loss 1.6702 (1.7423) Prec@1 64.844 (60.211) Prec@5 80.469 (81.720) Epoch: [59][1910/10010] Time 0.323 (0.328) Data 0.000 (0.002) Loss 1.8441 (1.7423) Prec@1 54.688 (60.216) Prec@5 78.906 (81.719) Epoch: [59][1920/10010] Time 0.319 (0.328) Data 0.000 (0.002) Loss 1.9403 (1.7426) Prec@1 63.281 (60.211) Prec@5 76.562 (81.714) Epoch: [59][1930/10010] Time 0.322 (0.328) Data 0.000 (0.002) Loss 1.9023 (1.7435) Prec@1 57.031 (60.189) Prec@5 78.906 (81.701) Epoch: [59][1940/10010] Time 0.327 (0.328) Data 0.001 (0.002) Loss 1.5039 (1.7435) Prec@1 67.188 (60.192) Prec@5 85.156 (81.707) Epoch: [59][1950/10010] Time 0.314 (0.327) Data 0.001 (0.002) Loss 1.4287 (1.7429) Prec@1 64.844 (60.204) Prec@5 84.375 (81.713) Epoch: [59][1960/10010] Time 0.333 (0.327) Data 0.001 (0.002) Loss 1.9541 (1.7430) Prec@1 60.156 (60.207) Prec@5 78.125 (81.708) Epoch: [59][1970/10010] Time 0.325 (0.327) Data 0.001 (0.002) Loss 1.8500 (1.7432) Prec@1 62.500 (60.205) Prec@5 80.469 (81.706) Epoch: [59][1980/10010] Time 0.323 (0.327) Data 0.000 (0.002) Loss 1.9139 (1.7434) Prec@1 55.469 (60.203) Prec@5 77.344 (81.702) Epoch: [59][1990/10010] Time 0.321 (0.327) Data 0.001 (0.002) Loss 1.7943 (1.7431) Prec@1 55.469 (60.201) Prec@5 74.219 (81.697) Epoch: [59][2000/10010] Time 0.325 (0.327) Data 0.001 (0.002) Loss 1.5629 (1.7426) Prec@1 64.062 (60.202) Prec@5 84.375 (81.707) Epoch: [59][2010/10010] Time 0.339 (0.327) Data 0.001 (0.002) Loss 1.9047 (1.7426) Prec@1 57.812 (60.214) Prec@5 79.688 (81.709) Epoch: [59][2020/10010] Time 0.339 (0.327) Data 0.001 (0.002) Loss 1.9233 (1.7427) Prec@1 59.375 (60.217) Prec@5 79.688 (81.703) Epoch: [59][2030/10010] Time 0.322 (0.327) Data 0.001 (0.002) Loss 1.9082 (1.7425) Prec@1 53.125 (60.219) Prec@5 78.125 (81.709) Epoch: [59][2040/10010] Time 0.314 (0.327) Data 0.001 (0.002) Loss 1.8996 (1.7425) Prec@1 53.125 (60.208) Prec@5 80.469 (81.712) Epoch: [59][2050/10010] Time 0.314 (0.327) Data 0.001 (0.002) Loss 1.9277 (1.7428) Prec@1 58.594 (60.198) Prec@5 78.125 (81.710) Epoch: [59][2060/10010] Time 0.331 (0.327) Data 0.001 (0.002) Loss 1.9896 (1.7433) Prec@1 54.688 (60.189) Prec@5 78.906 (81.697) Epoch: [59][2070/10010] Time 0.321 (0.327) Data 0.001 (0.002) Loss 1.6730 (1.7431) Prec@1 57.812 (60.190) Prec@5 79.688 (81.699) Epoch: [59][2080/10010] Time 0.340 (0.327) Data 0.001 (0.002) Loss 1.8354 (1.7434) Prec@1 61.719 (60.188) Prec@5 79.688 (81.698) Epoch: [59][2090/10010] Time 0.308 (0.327) Data 0.000 (0.002) Loss 1.9762 (1.7438) Prec@1 60.156 (60.182) Prec@5 82.812 (81.691) Epoch: [59][2100/10010] Time 0.335 (0.327) Data 0.000 (0.002) Loss 1.9317 (1.7438) Prec@1 59.375 (60.192) Prec@5 73.438 (81.691) Epoch: [59][2110/10010] Time 0.328 (0.327) Data 0.001 (0.002) Loss 1.4710 (1.7436) Prec@1 57.812 (60.197) Prec@5 87.500 (81.690) Epoch: [59][2120/10010] Time 0.333 (0.327) Data 0.001 (0.002) Loss 1.5426 (1.7437) Prec@1 64.062 (60.201) Prec@5 82.812 (81.685) Epoch: [59][2130/10010] Time 0.319 (0.327) Data 0.001 (0.002) Loss 1.5455 (1.7434) Prec@1 64.062 (60.213) Prec@5 85.938 (81.691) Epoch: [59][2140/10010] Time 0.336 (0.327) Data 0.001 (0.002) Loss 1.7161 (1.7434) Prec@1 58.594 (60.209) Prec@5 85.156 (81.696) Epoch: [59][2150/10010] Time 0.321 (0.327) Data 0.001 (0.002) Loss 1.9930 (1.7433) Prec@1 52.344 (60.210) Prec@5 79.688 (81.698) Epoch: [59][2160/10010] Time 0.337 (0.327) Data 0.000 (0.002) Loss 2.0729 (1.7432) Prec@1 50.781 (60.210) Prec@5 77.344 (81.702) Epoch: [59][2170/10010] Time 0.319 (0.327) Data 0.001 (0.002) Loss 1.7200 (1.7432) Prec@1 60.938 (60.210) Prec@5 80.469 (81.702) Epoch: [59][2180/10010] Time 0.332 (0.327) Data 0.001 (0.002) Loss 1.3807 (1.7429) Prec@1 68.750 (60.211) Prec@5 86.719 (81.706) Epoch: [59][2190/10010] Time 0.339 (0.327) Data 0.000 (0.002) Loss 1.8508 (1.7434) Prec@1 59.375 (60.199) Prec@5 78.125 (81.697) Epoch: [59][2200/10010] Time 0.318 (0.327) Data 0.001 (0.002) Loss 1.9178 (1.7437) Prec@1 57.812 (60.195) Prec@5 77.344 (81.693) Epoch: [59][2210/10010] Time 0.328 (0.327) Data 0.000 (0.002) Loss 1.6863 (1.7434) Prec@1 60.938 (60.197) Prec@5 85.156 (81.697) Epoch: [59][2220/10010] Time 0.316 (0.327) Data 0.001 (0.002) Loss 1.6762 (1.7435) Prec@1 62.500 (60.205) Prec@5 82.031 (81.698) Epoch: [59][2230/10010] Time 0.335 (0.327) Data 0.001 (0.002) Loss 1.5874 (1.7436) Prec@1 60.938 (60.199) Prec@5 83.594 (81.699) Epoch: [59][2240/10010] Time 0.308 (0.327) Data 0.001 (0.002) Loss 1.7126 (1.7440) Prec@1 55.469 (60.191) Prec@5 82.031 (81.700) Epoch: [59][2250/10010] Time 0.317 (0.327) Data 0.000 (0.002) Loss 1.8568 (1.7440) Prec@1 57.812 (60.193) Prec@5 78.906 (81.697) Epoch: [59][2260/10010] Time 0.336 (0.327) Data 0.001 (0.002) Loss 1.5164 (1.7439) Prec@1 65.625 (60.187) Prec@5 85.938 (81.697) Epoch: [59][2270/10010] Time 0.335 (0.327) Data 0.000 (0.002) Loss 1.6592 (1.7437) Prec@1 64.062 (60.183) Prec@5 83.594 (81.697) Epoch: [59][2280/10010] Time 0.315 (0.327) Data 0.001 (0.002) Loss 1.7252 (1.7442) Prec@1 60.156 (60.167) Prec@5 82.031 (81.690) Epoch: [59][2290/10010] Time 0.338 (0.327) Data 0.000 (0.002) Loss 1.6137 (1.7441) Prec@1 61.719 (60.170) Prec@5 81.250 (81.692) Epoch: [59][2300/10010] Time 0.330 (0.327) Data 0.001 (0.002) Loss 1.8235 (1.7441) Prec@1 57.812 (60.172) Prec@5 80.469 (81.692) Epoch: [59][2310/10010] Time 0.320 (0.327) Data 0.001 (0.002) Loss 1.6583 (1.7444) Prec@1 61.719 (60.167) Prec@5 83.594 (81.688) Epoch: [59][2320/10010] Time 0.315 (0.327) Data 0.001 (0.002) Loss 1.5683 (1.7442) Prec@1 66.406 (60.168) Prec@5 84.375 (81.694) Epoch: [59][2330/10010] Time 0.333 (0.327) Data 0.001 (0.002) Loss 1.8016 (1.7449) Prec@1 62.500 (60.157) Prec@5 78.906 (81.690) Epoch: [59][2340/10010] Time 0.319 (0.327) Data 0.000 (0.002) Loss 1.8415 (1.7447) Prec@1 58.594 (60.164) Prec@5 81.250 (81.695) Epoch: [59][2350/10010] Time 0.320 (0.327) Data 0.001 (0.002) Loss 1.5340 (1.7443) Prec@1 65.625 (60.168) Prec@5 85.156 (81.702) Epoch: [59][2360/10010] Time 0.326 (0.327) Data 0.001 (0.002) Loss 1.7022 (1.7443) Prec@1 59.375 (60.171) Prec@5 85.156 (81.700) Epoch: [59][2370/10010] Time 0.313 (0.327) Data 0.001 (0.002) Loss 1.9739 (1.7444) Prec@1 53.125 (60.162) Prec@5 78.906 (81.701) Epoch: [59][2380/10010] Time 0.319 (0.327) Data 0.000 (0.002) Loss 1.6229 (1.7445) Prec@1 60.156 (60.155) Prec@5 84.375 (81.700) Epoch: [59][2390/10010] Time 0.338 (0.327) Data 0.000 (0.002) Loss 1.7825 (1.7446) Prec@1 53.906 (60.153) Prec@5 78.906 (81.699) Epoch: [59][2400/10010] Time 0.329 (0.327) Data 0.001 (0.002) Loss 1.7217 (1.7446) Prec@1 62.500 (60.157) Prec@5 82.031 (81.700) Epoch: [59][2410/10010] Time 0.336 (0.327) Data 0.001 (0.002) Loss 1.7898 (1.7449) Prec@1 64.062 (60.159) Prec@5 79.688 (81.696) Epoch: [59][2420/10010] Time 0.333 (0.327) Data 0.000 (0.002) Loss 1.5637 (1.7450) Prec@1 64.844 (60.158) Prec@5 85.938 (81.692) Epoch: [59][2430/10010] Time 0.324 (0.327) Data 0.001 (0.002) Loss 1.8469 (1.7453) Prec@1 54.688 (60.148) Prec@5 78.125 (81.686) Epoch: [59][2440/10010] Time 0.330 (0.327) Data 0.000 (0.002) Loss 1.6735 (1.7453) Prec@1 62.500 (60.148) Prec@5 84.375 (81.686) Epoch: [59][2450/10010] Time 0.338 (0.327) Data 0.001 (0.002) Loss 1.6991 (1.7451) Prec@1 60.156 (60.156) Prec@5 82.031 (81.685) Epoch: [59][2460/10010] Time 0.331 (0.327) Data 0.000 (0.002) Loss 1.5852 (1.7449) Prec@1 58.594 (60.163) Prec@5 87.500 (81.690) Epoch: [59][2470/10010] Time 0.323 (0.327) Data 0.001 (0.002) Loss 1.7565 (1.7448) Prec@1 54.688 (60.160) Prec@5 82.031 (81.695) Epoch: [59][2480/10010] Time 0.312 (0.327) Data 0.001 (0.002) Loss 1.8429 (1.7447) Prec@1 59.375 (60.161) Prec@5 82.031 (81.696) Epoch: [59][2490/10010] Time 0.334 (0.327) Data 0.000 (0.002) Loss 1.7304 (1.7444) Prec@1 56.250 (60.170) Prec@5 82.031 (81.701) Epoch: [59][2500/10010] Time 0.319 (0.327) Data 0.000 (0.002) Loss 1.8646 (1.7444) Prec@1 57.812 (60.171) Prec@5 77.344 (81.701) Epoch: [59][2510/10010] Time 0.321 (0.327) Data 0.001 (0.002) Loss 1.8171 (1.7445) Prec@1 60.156 (60.163) Prec@5 79.688 (81.696) Epoch: [59][2520/10010] Time 0.312 (0.327) Data 0.001 (0.002) Loss 1.7610 (1.7447) Prec@1 58.594 (60.156) Prec@5 82.031 (81.694) Epoch: [59][2530/10010] Time 0.332 (0.327) Data 0.001 (0.002) Loss 1.6031 (1.7447) Prec@1 61.719 (60.157) Prec@5 84.375 (81.694) Epoch: [59][2540/10010] Time 0.325 (0.327) Data 0.001 (0.002) Loss 1.3962 (1.7446) Prec@1 61.719 (60.157) Prec@5 88.281 (81.699) Epoch: [59][2550/10010] Time 0.319 (0.327) Data 0.001 (0.002) Loss 1.6113 (1.7448) Prec@1 64.062 (60.149) Prec@5 84.375 (81.700) Epoch: [59][2560/10010] Time 0.321 (0.327) Data 0.001 (0.002) Loss 1.6563 (1.7454) Prec@1 62.500 (60.138) Prec@5 82.812 (81.692) Epoch: [59][2570/10010] Time 0.335 (0.327) Data 0.001 (0.002) Loss 1.7360 (1.7454) Prec@1 58.594 (60.140) Prec@5 78.906 (81.691) Epoch: [59][2580/10010] Time 0.316 (0.327) Data 0.001 (0.002) Loss 1.9052 (1.7453) Prec@1 60.156 (60.148) Prec@5 80.469 (81.693) Epoch: [59][2590/10010] Time 0.334 (0.327) Data 0.001 (0.002) Loss 1.8402 (1.7455) Prec@1 57.812 (60.148) Prec@5 78.906 (81.692) Epoch: [59][2600/10010] Time 0.332 (0.327) Data 0.000 (0.002) Loss 1.9434 (1.7453) Prec@1 59.375 (60.153) Prec@5 77.344 (81.694) Epoch: [59][2610/10010] Time 0.338 (0.327) Data 0.000 (0.002) Loss 2.1155 (1.7456) Prec@1 52.344 (60.147) Prec@5 76.562 (81.690) Epoch: [59][2620/10010] Time 0.324 (0.327) Data 0.001 (0.002) Loss 1.7581 (1.7459) Prec@1 60.156 (60.142) Prec@5 85.156 (81.689) Epoch: [59][2630/10010] Time 0.316 (0.327) Data 0.001 (0.002) Loss 1.8423 (1.7458) Prec@1 59.375 (60.143) Prec@5 77.344 (81.685) Epoch: [59][2640/10010] Time 0.313 (0.327) Data 0.001 (0.002) Loss 1.6878 (1.7458) Prec@1 59.375 (60.146) Prec@5 83.594 (81.687) Epoch: [59][2650/10010] Time 0.323 (0.327) Data 0.001 (0.002) Loss 1.9023 (1.7455) Prec@1 56.250 (60.147) Prec@5 79.688 (81.692) Epoch: [59][2660/10010] Time 0.331 (0.327) Data 0.001 (0.002) Loss 1.8634 (1.7458) Prec@1 56.250 (60.144) Prec@5 78.906 (81.685) Epoch: [59][2670/10010] Time 0.329 (0.327) Data 0.000 (0.002) Loss 1.4934 (1.7455) Prec@1 64.844 (60.150) Prec@5 87.500 (81.690) Epoch: [59][2680/10010] Time 0.314 (0.327) Data 0.001 (0.002) Loss 1.5913 (1.7454) Prec@1 64.062 (60.147) Prec@5 85.938 (81.696) Epoch: [59][2690/10010] Time 0.317 (0.327) Data 0.001 (0.002) Loss 1.6527 (1.7453) Prec@1 61.719 (60.144) Prec@5 82.812 (81.695) Epoch: [59][2700/10010] Time 0.323 (0.327) Data 0.001 (0.002) Loss 2.0388 (1.7455) Prec@1 54.688 (60.141) Prec@5 77.344 (81.695) Epoch: [59][2710/10010] Time 0.321 (0.327) Data 0.001 (0.002) Loss 2.0100 (1.7457) Prec@1 53.906 (60.140) Prec@5 76.562 (81.685) /data/vision/torralba/deepscene/lib/anaconda2/lib/python2.7/site-packages/PIL/TiffImagePlugin.py:692: UserWarning: Possibly corrupt EXIF data. Expecting to read 2555904 bytes but only got 0. Skipping tag 0 "Skipping tag %s" % (size, len(data), tag)) Epoch: [59][2720/10010] Time 0.327 (0.327) Data 0.001 (0.002) Loss 1.7001 (1.7454) Prec@1 60.938 (60.142) Prec@5 85.156 (81.689) Epoch: [59][2730/10010] Time 0.335 (0.327) Data 0.001 (0.002) Loss 1.4143 (1.7451) Prec@1 67.188 (60.146) Prec@5 84.375 (81.693) Epoch: [59][2740/10010] Time 0.332 (0.327) Data 0.000 (0.002) Loss 1.7650 (1.7450) Prec@1 57.812 (60.144) Prec@5 81.250 (81.696) Epoch: [59][2750/10010] Time 0.335 (0.327) Data 0.001 (0.002) Loss 1.9314 (1.7455) Prec@1 57.812 (60.136) Prec@5 81.250 (81.687) Epoch: [59][2760/10010] Time 0.316 (0.327) Data 0.001 (0.002) Loss 2.1100 (1.7458) Prec@1 52.344 (60.127) Prec@5 75.781 (81.683) Epoch: [59][2770/10010] Time 0.319 (0.327) Data 0.000 (0.002) Loss 1.7450 (1.7457) Prec@1 63.281 (60.127) Prec@5 83.594 (81.683) Epoch: [59][2780/10010] Time 0.326 (0.327) Data 0.000 (0.002) Loss 1.3479 (1.7456) Prec@1 66.406 (60.131) Prec@5 87.500 (81.681) Epoch: [59][2790/10010] Time 0.318 (0.327) Data 0.000 (0.002) Loss 1.8235 (1.7459) Prec@1 60.938 (60.123) Prec@5 78.906 (81.674) Epoch: [59][2800/10010] Time 0.341 (0.327) Data 0.001 (0.002) Loss 2.0411 (1.7461) Prec@1 56.250 (60.122) Prec@5 76.562 (81.669) Epoch: [59][2810/10010] Time 0.324 (0.327) Data 0.000 (0.002) Loss 1.7954 (1.7462) Prec@1 63.281 (60.126) Prec@5 82.812 (81.669) Epoch: [59][2820/10010] Time 0.337 (0.327) Data 0.000 (0.002) Loss 1.9287 (1.7461) Prec@1 56.250 (60.128) Prec@5 78.906 (81.671) Epoch: [59][2830/10010] Time 0.322 (0.327) Data 0.001 (0.002) Loss 1.9319 (1.7463) Prec@1 55.469 (60.128) Prec@5 78.125 (81.667) Epoch: [59][2840/10010] Time 0.319 (0.327) Data 0.001 (0.002) Loss 1.5133 (1.7461) Prec@1 67.188 (60.133) Prec@5 84.375 (81.666) Epoch: [59][2850/10010] Time 0.313 (0.327) Data 0.001 (0.001) Loss 1.7604 (1.7462) Prec@1 61.719 (60.130) Prec@5 80.469 (81.664) Epoch: [59][2860/10010] Time 0.330 (0.327) Data 0.001 (0.001) Loss 1.7747 (1.7462) Prec@1 57.812 (60.126) Prec@5 79.688 (81.662) Epoch: [59][2870/10010] Time 0.324 (0.327) Data 0.001 (0.001) Loss 1.9446 (1.7460) Prec@1 60.156 (60.128) Prec@5 75.000 (81.667) Epoch: [59][2880/10010] Time 0.324 (0.327) Data 0.001 (0.001) Loss 1.6163 (1.7462) Prec@1 66.406 (60.125) Prec@5 86.719 (81.665) Epoch: [59][2890/10010] Time 0.317 (0.327) Data 0.001 (0.001) Loss 1.5855 (1.7467) Prec@1 62.500 (60.123) Prec@5 85.156 (81.657) Epoch: [59][2900/10010] Time 0.312 (0.327) Data 0.001 (0.001) Loss 1.7164 (1.7471) Prec@1 57.031 (60.113) Prec@5 86.719 (81.651) Epoch: [59][2910/10010] Time 0.322 (0.327) Data 0.000 (0.001) Loss 1.8049 (1.7471) Prec@1 63.281 (60.115) Prec@5 79.688 (81.649) Epoch: [59][2920/10010] Time 0.320 (0.327) Data 0.000 (0.001) Loss 1.6957 (1.7471) Prec@1 63.281 (60.110) Prec@5 78.906 (81.647) Epoch: [59][2930/10010] Time 0.322 (0.327) Data 0.001 (0.001) Loss 1.8831 (1.7471) Prec@1 64.062 (60.115) Prec@5 77.344 (81.646) Epoch: [59][2940/10010] Time 0.326 (0.327) Data 0.000 (0.001) Loss 2.0921 (1.7470) Prec@1 60.938 (60.117) Prec@5 74.219 (81.647) Epoch: [59][2950/10010] Time 0.323 (0.327) Data 0.000 (0.001) Loss 1.4903 (1.7469) Prec@1 63.281 (60.123) Prec@5 86.719 (81.651) Epoch: [59][2960/10010] Time 0.314 (0.327) Data 0.001 (0.001) Loss 1.4306 (1.7467) Prec@1 61.719 (60.126) Prec@5 88.281 (81.655) Epoch: [59][2970/10010] Time 0.324 (0.327) Data 0.001 (0.001) Loss 2.0222 (1.7464) Prec@1 57.031 (60.133) Prec@5 75.781 (81.659) Epoch: [59][2980/10010] Time 0.324 (0.327) Data 0.001 (0.001) Loss 1.5222 (1.7464) Prec@1 66.406 (60.137) Prec@5 81.250 (81.661) Epoch: [59][2990/10010] Time 0.317 (0.327) Data 0.001 (0.001) Loss 1.7773 (1.7466) Prec@1 60.156 (60.133) Prec@5 81.250 (81.657) Epoch: [59][3000/10010] Time 0.326 (0.327) Data 0.001 (0.001) Loss 1.8356 (1.7467) Prec@1 56.250 (60.132) Prec@5 82.812 (81.653) Epoch: [59][3010/10010] Time 0.334 (0.327) Data 0.000 (0.001) Loss 1.8945 (1.7466) Prec@1 60.156 (60.135) Prec@5 78.125 (81.654) Epoch: [59][3020/10010] Time 0.318 (0.327) Data 0.001 (0.001) Loss 2.1441 (1.7469) Prec@1 51.562 (60.129) Prec@5 77.344 (81.648) Epoch: [59][3030/10010] Time 0.312 (0.327) Data 0.001 (0.001) Loss 1.6559 (1.7470) Prec@1 63.281 (60.129) Prec@5 82.031 (81.647) Epoch: [59][3040/10010] Time 0.339 (0.327) Data 0.000 (0.001) Loss 1.8257 (1.7473) Prec@1 57.812 (60.124) Prec@5 82.812 (81.643) Epoch: [59][3050/10010] Time 0.315 (0.327) Data 0.001 (0.001) Loss 1.5645 (1.7477) Prec@1 61.719 (60.116) Prec@5 82.812 (81.635) Epoch: [59][3060/10010] Time 0.329 (0.327) Data 0.001 (0.001) Loss 2.0713 (1.7478) Prec@1 59.375 (60.114) Prec@5 78.125 (81.633) Epoch: [59][3070/10010] Time 0.332 (0.327) Data 0.001 (0.001) Loss 1.7938 (1.7479) Prec@1 58.594 (60.112) Prec@5 81.250 (81.634) Epoch: [59][3080/10010] Time 0.342 (0.327) Data 0.000 (0.001) Loss 1.5703 (1.7475) Prec@1 64.062 (60.116) Prec@5 82.812 (81.639) Epoch: [59][3090/10010] Time 0.341 (0.327) Data 0.000 (0.001) Loss 1.8710 (1.7475) Prec@1 53.125 (60.119) Prec@5 82.812 (81.637) Epoch: [59][3100/10010] Time 0.341 (0.327) Data 0.000 (0.001) Loss 1.7778 (1.7474) Prec@1 56.250 (60.122) Prec@5 79.688 (81.640) Epoch: [59][3110/10010] Time 0.322 (0.327) Data 0.001 (0.001) Loss 1.6007 (1.7475) Prec@1 63.281 (60.127) Prec@5 84.375 (81.637) Epoch: [59][3120/10010] Time 0.318 (0.327) Data 0.000 (0.001) Loss 1.5342 (1.7472) Prec@1 71.875 (60.129) Prec@5 83.594 (81.643) Epoch: [59][3130/10010] Time 0.327 (0.327) Data 0.001 (0.001) Loss 1.9101 (1.7471) Prec@1 57.031 (60.128) Prec@5 75.781 (81.642) Epoch: [59][3140/10010] Time 0.317 (0.327) Data 0.001 (0.001) Loss 1.8899 (1.7472) Prec@1 57.812 (60.121) Prec@5 77.344 (81.640) Epoch: [59][3150/10010] Time 0.340 (0.327) Data 0.000 (0.001) Loss 1.5976 (1.7469) Prec@1 62.500 (60.123) Prec@5 85.938 (81.646) Epoch: [59][3160/10010] Time 0.328 (0.327) Data 0.001 (0.001) Loss 1.5320 (1.7469) Prec@1 63.281 (60.124) Prec@5 82.812 (81.649) Epoch: [59][3170/10010] Time 0.334 (0.327) Data 0.001 (0.001) Loss 1.8164 (1.7470) Prec@1 57.812 (60.124) Prec@5 78.906 (81.646) Epoch: [59][3180/10010] Time 0.321 (0.327) Data 0.000 (0.001) Loss 1.6703 (1.7468) Prec@1 60.938 (60.131) Prec@5 80.469 (81.649) Epoch: [59][3190/10010] Time 0.326 (0.327) Data 0.001 (0.001) Loss 1.5970 (1.7468) Prec@1 60.156 (60.125) Prec@5 85.938 (81.649) Epoch: [59][3200/10010] Time 0.312 (0.327) Data 0.001 (0.001) Loss 1.7157 (1.7471) Prec@1 62.500 (60.119) Prec@5 82.031 (81.647) Epoch: [59][3210/10010] Time 0.320 (0.327) Data 0.001 (0.001) Loss 1.6618 (1.7470) Prec@1 63.281 (60.117) Prec@5 84.375 (81.648) Epoch: [59][3220/10010] Time 0.324 (0.327) Data 0.001 (0.001) Loss 1.7413 (1.7471) Prec@1 63.281 (60.117) Prec@5 79.688 (81.646) Epoch: [59][3230/10010] Time 0.327 (0.327) Data 0.001 (0.001) Loss 1.7460 (1.7471) Prec@1 59.375 (60.113) Prec@5 86.719 (81.648) Epoch: [59][3240/10010] Time 0.330 (0.327) Data 0.001 (0.001) Loss 1.4699 (1.7471) Prec@1 64.844 (60.117) Prec@5 85.938 (81.649) Epoch: [59][3250/10010] Time 0.334 (0.327) Data 0.001 (0.001) Loss 1.8740 (1.7472) Prec@1 55.469 (60.109) Prec@5 79.688 (81.647) Epoch: [59][3260/10010] Time 0.338 (0.327) Data 0.000 (0.001) Loss 1.9595 (1.7471) Prec@1 52.344 (60.113) Prec@5 76.562 (81.649) Epoch: [59][3270/10010] Time 0.318 (0.327) Data 0.001 (0.001) Loss 1.8099 (1.7470) Prec@1 60.938 (60.120) Prec@5 80.469 (81.650) Epoch: [59][3280/10010] Time 0.341 (0.327) Data 0.014 (0.001) Loss 1.9028 (1.7469) Prec@1 55.469 (60.130) Prec@5 78.125 (81.649) Epoch: [59][3290/10010] Time 0.317 (0.327) Data 0.001 (0.001) Loss 1.5841 (1.7468) Prec@1 64.062 (60.134) Prec@5 81.250 (81.652) Epoch: [59][3300/10010] Time 0.336 (0.327) Data 0.001 (0.001) Loss 1.6563 (1.7466) Prec@1 62.500 (60.136) Prec@5 82.031 (81.653) Epoch: [59][3310/10010] Time 0.319 (0.327) Data 0.001 (0.001) Loss 1.8040 (1.7467) Prec@1 58.594 (60.131) Prec@5 76.562 (81.647) Epoch: [59][3320/10010] Time 0.334 (0.327) Data 0.001 (0.001) Loss 1.6314 (1.7468) Prec@1 57.812 (60.129) Prec@5 86.719 (81.647) Epoch: [59][3330/10010] Time 0.341 (0.327) Data 0.001 (0.001) Loss 1.8705 (1.7468) Prec@1 57.812 (60.127) Prec@5 78.125 (81.647) Epoch: [59][3340/10010] Time 0.331 (0.327) Data 0.001 (0.001) Loss 1.9668 (1.7470) Prec@1 58.594 (60.126) Prec@5 83.594 (81.647) Epoch: [59][3350/10010] Time 0.338 (0.327) Data 0.000 (0.001) Loss 1.6588 (1.7474) Prec@1 58.594 (60.118) Prec@5 82.812 (81.640) Epoch: [59][3360/10010] Time 0.334 (0.327) Data 0.001 (0.001) Loss 1.8830 (1.7476) Prec@1 53.125 (60.106) Prec@5 76.562 (81.637) Epoch: [59][3370/10010] Time 0.318 (0.327) Data 0.001 (0.001) Loss 1.9543 (1.7478) Prec@1 60.156 (60.106) Prec@5 76.562 (81.635) Epoch: [59][3380/10010] Time 0.320 (0.327) Data 0.001 (0.001) Loss 1.8385 (1.7480) Prec@1 58.594 (60.101) Prec@5 81.250 (81.629) Epoch: [59][3390/10010] Time 0.338 (0.327) Data 0.001 (0.001) Loss 1.9602 (1.7479) Prec@1 57.031 (60.106) Prec@5 79.688 (81.629) Epoch: [59][3400/10010] Time 0.311 (0.327) Data 0.001 (0.001) Loss 1.8534 (1.7483) Prec@1 59.375 (60.103) Prec@5 82.812 (81.623) Epoch: [59][3410/10010] Time 0.322 (0.327) Data 0.001 (0.001) Loss 1.7012 (1.7480) Prec@1 60.938 (60.106) Prec@5 81.250 (81.629) Epoch: [59][3420/10010] Time 0.330 (0.327) Data 0.001 (0.001) Loss 1.8641 (1.7481) Prec@1 58.594 (60.105) Prec@5 82.812 (81.629) Epoch: [59][3430/10010] Time 0.316 (0.327) Data 0.000 (0.001) Loss 1.4449 (1.7478) Prec@1 65.625 (60.107) Prec@5 86.719 (81.634) Epoch: [59][3440/10010] Time 0.320 (0.327) Data 0.001 (0.001) Loss 1.6572 (1.7477) Prec@1 64.844 (60.110) Prec@5 85.156 (81.637) Epoch: [59][3450/10010] Time 0.341 (0.327) Data 0.001 (0.001) Loss 1.4992 (1.7475) Prec@1 61.719 (60.114) Prec@5 86.719 (81.638) Epoch: [59][3460/10010] Time 0.340 (0.327) Data 0.001 (0.001) Loss 1.8813 (1.7476) Prec@1 55.469 (60.113) Prec@5 81.250 (81.639) Epoch: [59][3470/10010] Time 0.332 (0.327) Data 0.001 (0.001) Loss 1.8546 (1.7477) Prec@1 59.375 (60.114) Prec@5 78.906 (81.636) Epoch: [59][3480/10010] Time 0.321 (0.327) Data 0.001 (0.001) Loss 2.0261 (1.7479) Prec@1 56.250 (60.110) Prec@5 78.125 (81.633) Epoch: [59][3490/10010] Time 0.321 (0.327) Data 0.001 (0.001) Loss 1.5762 (1.7475) Prec@1 64.062 (60.115) Prec@5 79.688 (81.633) Epoch: [59][3500/10010] Time 0.336 (0.327) Data 0.001 (0.001) Loss 1.9118 (1.7476) Prec@1 60.938 (60.115) Prec@5 77.344 (81.630) Epoch: [59][3510/10010] Time 0.340 (0.327) Data 0.001 (0.001) Loss 1.9312 (1.7476) Prec@1 57.812 (60.120) Prec@5 78.125 (81.628) Epoch: [59][3520/10010] Time 0.310 (0.327) Data 0.001 (0.001) Loss 1.9436 (1.7477) Prec@1 52.344 (60.117) Prec@5 78.125 (81.624) Epoch: [59][3530/10010] Time 0.318 (0.327) Data 0.001 (0.001) Loss 1.7066 (1.7479) Prec@1 62.500 (60.116) Prec@5 84.375 (81.622) Epoch: [59][3540/10010] Time 0.313 (0.327) Data 0.001 (0.001) Loss 1.6819 (1.7481) Prec@1 59.375 (60.107) Prec@5 86.719 (81.622) Epoch: [59][3550/10010] Time 0.336 (0.327) Data 0.005 (0.001) Loss 1.7632 (1.7484) Prec@1 61.719 (60.105) Prec@5 80.469 (81.616) Epoch: [59][3560/10010] Time 0.331 (0.327) Data 0.001 (0.001) Loss 1.5130 (1.7482) Prec@1 63.281 (60.102) Prec@5 85.938 (81.620) Epoch: [59][3570/10010] Time 0.318 (0.327) Data 0.000 (0.001) Loss 1.8916 (1.7486) Prec@1 59.375 (60.092) Prec@5 76.562 (81.611) Epoch: [59][3580/10010] Time 0.321 (0.327) Data 0.001 (0.001) Loss 1.6875 (1.7487) Prec@1 60.156 (60.088) Prec@5 85.938 (81.611) Epoch: [59][3590/10010] Time 0.331 (0.327) Data 0.001 (0.001) Loss 1.5492 (1.7485) Prec@1 62.500 (60.092) Prec@5 82.812 (81.615) Epoch: [59][3600/10010] Time 0.324 (0.327) Data 0.001 (0.001) Loss 1.6917 (1.7484) Prec@1 59.375 (60.094) Prec@5 82.031 (81.613) Epoch: [59][3610/10010] Time 0.319 (0.327) Data 0.001 (0.001) Loss 1.8666 (1.7486) Prec@1 55.469 (60.088) Prec@5 78.125 (81.608) Epoch: [59][3620/10010] Time 0.319 (0.327) Data 0.001 (0.001) Loss 1.7565 (1.7489) Prec@1 64.062 (60.088) Prec@5 82.812 (81.605) Epoch: [59][3630/10010] Time 0.327 (0.327) Data 0.001 (0.001) Loss 1.6060 (1.7491) Prec@1 64.844 (60.082) Prec@5 82.031 (81.600) Epoch: [59][3640/10010] Time 0.338 (0.327) Data 0.001 (0.001) Loss 1.6653 (1.7492) Prec@1 64.062 (60.080) Prec@5 81.250 (81.600) Epoch: [59][3650/10010] Time 0.334 (0.327) Data 0.000 (0.001) Loss 1.6983 (1.7494) Prec@1 60.938 (60.076) Prec@5 79.688 (81.597) Epoch: [59][3660/10010] Time 0.315 (0.327) Data 0.001 (0.001) Loss 1.8324 (1.7494) Prec@1 53.125 (60.079) Prec@5 80.469 (81.595) Epoch: [59][3670/10010] Time 0.335 (0.327) Data 0.000 (0.001) Loss 1.9548 (1.7496) Prec@1 56.250 (60.073) Prec@5 75.000 (81.595) Epoch: [59][3680/10010] Time 0.341 (0.327) Data 0.000 (0.001) Loss 1.6814 (1.7496) Prec@1 58.594 (60.075) Prec@5 83.594 (81.596) Epoch: [59][3690/10010] Time 0.321 (0.327) Data 0.000 (0.001) Loss 1.5959 (1.7497) Prec@1 64.844 (60.072) Prec@5 85.938 (81.595) Epoch: [59][3700/10010] Time 0.341 (0.327) Data 0.001 (0.001) Loss 1.9318 (1.7496) Prec@1 50.781 (60.070) Prec@5 78.125 (81.599) Epoch: [59][3710/10010] Time 0.323 (0.327) Data 0.001 (0.001) Loss 1.6290 (1.7495) Prec@1 63.281 (60.073) Prec@5 81.250 (81.598) Epoch: [59][3720/10010] Time 0.329 (0.327) Data 0.001 (0.001) Loss 1.5467 (1.7496) Prec@1 64.062 (60.070) Prec@5 83.594 (81.602) Epoch: [59][3730/10010] Time 0.332 (0.327) Data 0.001 (0.001) Loss 1.8478 (1.7496) Prec@1 57.812 (60.069) Prec@5 81.250 (81.601) Epoch: [59][3740/10010] Time 0.336 (0.327) Data 0.001 (0.001) Loss 1.7639 (1.7500) Prec@1 59.375 (60.061) Prec@5 82.031 (81.596) Epoch: [59][3750/10010] Time 0.337 (0.327) Data 0.001 (0.001) Loss 1.5670 (1.7501) Prec@1 61.719 (60.058) Prec@5 86.719 (81.596) Epoch: [59][3760/10010] Time 0.335 (0.327) Data 0.001 (0.001) Loss 1.6092 (1.7500) Prec@1 60.938 (60.059) Prec@5 85.156 (81.600) Epoch: [59][3770/10010] Time 0.313 (0.327) Data 0.001 (0.001) Loss 1.6964 (1.7502) Prec@1 60.156 (60.058) Prec@5 79.688 (81.597) Epoch: [59][3780/10010] Time 0.329 (0.327) Data 0.000 (0.001) Loss 1.7474 (1.7503) Prec@1 60.156 (60.056) Prec@5 82.812 (81.596) Epoch: [59][3790/10010] Time 0.327 (0.327) Data 0.001 (0.001) Loss 2.0500 (1.7505) Prec@1 52.344 (60.050) Prec@5 77.344 (81.593) Epoch: [59][3800/10010] Time 0.320 (0.327) Data 0.000 (0.001) Loss 1.8037 (1.7506) Prec@1 62.500 (60.049) Prec@5 82.031 (81.590) Epoch: [59][3810/10010] Time 0.330 (0.327) Data 0.001 (0.001) Loss 1.6964 (1.7505) Prec@1 58.594 (60.051) Prec@5 82.812 (81.591) Epoch: [59][3820/10010] Time 0.316 (0.327) Data 0.001 (0.001) Loss 1.6414 (1.7507) Prec@1 64.844 (60.052) Prec@5 82.812 (81.588) Epoch: [59][3830/10010] Time 0.333 (0.327) Data 0.001 (0.001) Loss 1.7469 (1.7508) Prec@1 64.844 (60.055) Prec@5 83.594 (81.588) Epoch: [59][3840/10010] Time 0.322 (0.327) Data 0.001 (0.001) Loss 1.7079 (1.7509) Prec@1 61.719 (60.051) Prec@5 85.156 (81.588) Epoch: [59][3850/10010] Time 0.342 (0.327) Data 0.000 (0.001) Loss 1.8084 (1.7510) Prec@1 58.594 (60.048) Prec@5 77.344 (81.586) Epoch: [59][3860/10010] Time 0.317 (0.327) Data 0.001 (0.001) Loss 1.9717 (1.7514) Prec@1 58.594 (60.039) Prec@5 78.125 (81.584) Epoch: [59][3870/10010] Time 0.324 (0.327) Data 0.001 (0.001) Loss 1.7200 (1.7515) Prec@1 59.375 (60.037) Prec@5 81.250 (81.585) Epoch: [59][3880/10010] Time 0.310 (0.327) Data 0.001 (0.001) Loss 1.8222 (1.7515) Prec@1 58.594 (60.035) Prec@5 79.688 (81.585) Epoch: [59][3890/10010] Time 0.324 (0.327) Data 0.001 (0.001) Loss 1.4802 (1.7515) Prec@1 62.500 (60.036) Prec@5 82.812 (81.584) Epoch: [59][3900/10010] Time 0.319 (0.327) Data 0.001 (0.001) Loss 1.7657 (1.7517) Prec@1 67.188 (60.031) Prec@5 78.906 (81.579) Epoch: [59][3910/10010] Time 0.330 (0.327) Data 0.000 (0.001) Loss 1.5797 (1.7517) Prec@1 57.031 (60.033) Prec@5 83.594 (81.580) Epoch: [59][3920/10010] Time 0.320 (0.327) Data 0.001 (0.001) Loss 1.9095 (1.7517) Prec@1 50.000 (60.030) Prec@5 82.031 (81.581) Epoch: [59][3930/10010] Time 0.323 (0.327) Data 0.001 (0.001) Loss 1.8167 (1.7516) Prec@1 63.281 (60.033) Prec@5 79.688 (81.579) Epoch: [59][3940/10010] Time 0.323 (0.327) Data 0.003 (0.001) Loss 2.0635 (1.7519) Prec@1 58.594 (60.030) Prec@5 77.344 (81.573) Epoch: [59][3950/10010] Time 0.321 (0.327) Data 0.000 (0.001) Loss 2.0401 (1.7518) Prec@1 53.906 (60.028) Prec@5 75.781 (81.576) Epoch: [59][3960/10010] Time 0.312 (0.327) Data 0.001 (0.001) Loss 1.8007 (1.7518) Prec@1 60.156 (60.028) Prec@5 83.594 (81.576) Epoch: [59][3970/10010] Time 0.324 (0.326) Data 0.000 (0.001) Loss 1.8245 (1.7517) Prec@1 57.812 (60.032) Prec@5 78.906 (81.575) Epoch: [59][3980/10010] Time 0.322 (0.326) Data 0.001 (0.001) Loss 1.6221 (1.7517) Prec@1 60.156 (60.031) Prec@5 84.375 (81.574) /data/vision/torralba/deepscene/lib/anaconda2/lib/python2.7/site-packages/PIL/TiffImagePlugin.py:709: UserWarning: Corrupt EXIF data. Expecting to read 4 bytes but only got 0. warnings.warn(str(msg)) Epoch: [59][3990/10010] Time 0.338 (0.327) Data 0.001 (0.001) Loss 1.5999 (1.7519) Prec@1 62.500 (60.029) Prec@5 84.375 (81.572) Epoch: [59][4000/10010] Time 0.323 (0.326) Data 0.000 (0.001) Loss 1.6431 (1.7518) Prec@1 61.719 (60.034) Prec@5 84.375 (81.572) Epoch: [59][4010/10010] Time 0.328 (0.327) Data 0.001 (0.001) Loss 1.5391 (1.7516) Prec@1 64.062 (60.038) Prec@5 85.156 (81.575) Epoch: [59][4020/10010] Time 0.328 (0.326) Data 0.001 (0.001) Loss 1.7211 (1.7517) Prec@1 60.156 (60.033) Prec@5 82.812 (81.574) Epoch: [59][4030/10010] Time 0.329 (0.326) Data 0.000 (0.001) Loss 1.6802 (1.7517) Prec@1 57.812 (60.032) Prec@5 79.688 (81.575) Epoch: [59][4040/10010] Time 0.337 (0.326) Data 0.001 (0.001) Loss 1.5510 (1.7517) Prec@1 64.062 (60.027) Prec@5 85.938 (81.575) Epoch: [59][4050/10010] Time 0.321 (0.326) Data 0.000 (0.001) Loss 1.8218 (1.7516) Prec@1 60.156 (60.031) Prec@5 80.469 (81.579) Epoch: [59][4060/10010] Time 0.331 (0.326) Data 0.001 (0.001) Loss 1.5898 (1.7517) Prec@1 61.719 (60.029) Prec@5 81.250 (81.574) Epoch: [59][4070/10010] Time 0.327 (0.326) Data 0.001 (0.001) Loss 1.7077 (1.7517) Prec@1 62.500 (60.031) Prec@5 84.375 (81.575) Epoch: [59][4080/10010] Time 0.328 (0.326) Data 0.001 (0.001) Loss 1.9789 (1.7518) Prec@1 56.250 (60.031) Prec@5 78.125 (81.573) Epoch: [59][4090/10010] Time 0.336 (0.326) Data 0.001 (0.001) Loss 1.4886 (1.7518) Prec@1 62.500 (60.034) Prec@5 84.375 (81.570) Epoch: [59][4100/10010] Time 0.315 (0.326) Data 0.001 (0.001) Loss 1.7804 (1.7519) Prec@1 64.062 (60.034) Prec@5 78.906 (81.570) Epoch: [59][4110/10010] Time 0.337 (0.327) Data 0.001 (0.001) Loss 1.8952 (1.7520) Prec@1 54.688 (60.034) Prec@5 77.344 (81.567) Epoch: [59][4120/10010] Time 0.331 (0.327) Data 0.001 (0.001) Loss 1.8821 (1.7521) Prec@1 57.812 (60.033) Prec@5 78.906 (81.565) Epoch: [59][4130/10010] Time 0.324 (0.327) Data 0.000 (0.001) Loss 1.5364 (1.7518) Prec@1 70.312 (60.041) Prec@5 85.156 (81.570) Epoch: [59][4140/10010] Time 0.333 (0.327) Data 0.001 (0.001) Loss 1.9347 (1.7519) Prec@1 52.344 (60.039) Prec@5 77.344 (81.566) Epoch: [59][4150/10010] Time 0.313 (0.327) Data 0.001 (0.001) Loss 1.7874 (1.7520) Prec@1 60.156 (60.039) Prec@5 78.906 (81.563) Epoch: [59][4160/10010] Time 0.331 (0.327) Data 0.001 (0.001) Loss 1.8796 (1.7519) Prec@1 58.594 (60.038) Prec@5 80.469 (81.566) Epoch: [59][4170/10010] Time 0.319 (0.327) Data 0.000 (0.001) Loss 2.0058 (1.7520) Prec@1 46.094 (60.033) Prec@5 81.250 (81.564) Epoch: [59][4180/10010] Time 0.319 (0.327) Data 0.001 (0.001) Loss 2.0122 (1.7521) Prec@1 53.125 (60.029) Prec@5 77.344 (81.563) Epoch: [59][4190/10010] Time 0.326 (0.327) Data 0.000 (0.001) Loss 1.5290 (1.7522) Prec@1 56.250 (60.025) Prec@5 85.156 (81.561) Epoch: [59][4200/10010] Time 0.320 (0.327) Data 0.001 (0.001) Loss 1.7725 (1.7523) Prec@1 61.719 (60.026) Prec@5 82.031 (81.559) Epoch: [59][4210/10010] Time 0.323 (0.327) Data 0.000 (0.001) Loss 1.7135 (1.7522) Prec@1 57.031 (60.028) Prec@5 83.594 (81.560) Epoch: [59][4220/10010] Time 0.330 (0.327) Data 0.001 (0.001) Loss 1.7456 (1.7520) Prec@1 61.719 (60.032) Prec@5 83.594 (81.563) Epoch: [59][4230/10010] Time 0.332 (0.326) Data 0.001 (0.001) Loss 1.7160 (1.7519) Prec@1 59.375 (60.033) Prec@5 86.719 (81.567) Epoch: [59][4240/10010] Time 0.331 (0.327) Data 0.001 (0.001) Loss 1.9023 (1.7519) Prec@1 47.656 (60.028) Prec@5 80.469 (81.566) Epoch: [59][4250/10010] Time 0.322 (0.327) Data 0.001 (0.001) Loss 1.7273 (1.7519) Prec@1 54.688 (60.028) Prec@5 83.594 (81.566) Epoch: [59][4260/10010] Time 0.336 (0.327) Data 0.001 (0.001) Loss 1.5418 (1.7518) Prec@1 65.625 (60.030) Prec@5 83.594 (81.567) Epoch: [59][4270/10010] Time 0.315 (0.327) Data 0.001 (0.001) Loss 1.7336 (1.7517) Prec@1 57.031 (60.029) Prec@5 82.031 (81.569) Epoch: [59][4280/10010] Time 0.331 (0.327) Data 0.001 (0.001) Loss 1.8934 (1.7517) Prec@1 57.031 (60.025) Prec@5 77.344 (81.568) Epoch: [59][4290/10010] Time 0.319 (0.327) Data 0.001 (0.001) Loss 1.7700 (1.7517) Prec@1 56.250 (60.022) Prec@5 83.594 (81.571) Epoch: [59][4300/10010] Time 0.334 (0.327) Data 0.001 (0.001) Loss 1.8120 (1.7518) Prec@1 61.719 (60.019) Prec@5 81.250 (81.568) Epoch: [59][4310/10010] Time 0.339 (0.327) Data 0.001 (0.001) Loss 1.8735 (1.7518) Prec@1 57.031 (60.018) Prec@5 82.031 (81.568) Epoch: [59][4320/10010] Time 0.313 (0.327) Data 0.001 (0.001) Loss 1.5738 (1.7518) Prec@1 61.719 (60.018) Prec@5 83.594 (81.566) Epoch: [59][4330/10010] Time 0.337 (0.327) Data 0.001 (0.001) Loss 1.5925 (1.7519) Prec@1 64.844 (60.015) Prec@5 81.250 (81.565) Epoch: [59][4340/10010] Time 0.332 (0.327) Data 0.000 (0.001) Loss 1.8099 (1.7521) Prec@1 61.719 (60.010) Prec@5 79.688 (81.563) Epoch: [59][4350/10010] Time 0.335 (0.327) Data 0.000 (0.001) Loss 1.7427 (1.7521) Prec@1 60.156 (60.009) Prec@5 81.250 (81.562) Epoch: [59][4360/10010] Time 0.314 (0.327) Data 0.001 (0.001) Loss 1.8495 (1.7521) Prec@1 60.156 (60.008) Prec@5 80.469 (81.564) Epoch: [59][4370/10010] Time 0.321 (0.326) Data 0.000 (0.001) Loss 1.6078 (1.7522) Prec@1 63.281 (60.006) Prec@5 83.594 (81.562) Epoch: [59][4380/10010] Time 0.317 (0.326) Data 0.001 (0.001) Loss 1.5038 (1.7523) Prec@1 67.188 (60.006) Prec@5 85.156 (81.559) Epoch: [59][4390/10010] Time 0.324 (0.326) Data 0.001 (0.001) Loss 1.9925 (1.7523) Prec@1 55.469 (60.004) Prec@5 78.125 (81.557) Epoch: [59][4400/10010] Time 0.317 (0.326) Data 0.001 (0.001) Loss 1.8061 (1.7523) Prec@1 57.812 (60.004) Prec@5 79.688 (81.559) Epoch: [59][4410/10010] Time 0.332 (0.326) Data 0.001 (0.001) Loss 1.8330 (1.7522) Prec@1 58.594 (60.010) Prec@5 80.469 (81.562) Epoch: [59][4420/10010] Time 0.334 (0.326) Data 0.001 (0.001) Loss 2.0190 (1.7522) Prec@1 57.031 (60.010) Prec@5 76.562 (81.561) Epoch: [59][4430/10010] Time 0.320 (0.326) Data 0.000 (0.001) Loss 2.0480 (1.7523) Prec@1 53.906 (60.008) Prec@5 79.688 (81.560) Epoch: [59][4440/10010] Time 0.333 (0.326) Data 0.001 (0.001) Loss 1.5265 (1.7521) Prec@1 65.625 (60.014) Prec@5 83.594 (81.565) Epoch: [59][4450/10010] Time 0.318 (0.326) Data 0.001 (0.001) Loss 1.8715 (1.7522) Prec@1 59.375 (60.006) Prec@5 74.219 (81.565) Epoch: [59][4460/10010] Time 0.316 (0.326) Data 0.001 (0.001) Loss 1.9142 (1.7523) Prec@1 56.250 (60.004) Prec@5 75.781 (81.564) Epoch: [59][4470/10010] Time 0.331 (0.326) Data 0.001 (0.001) Loss 1.6730 (1.7526) Prec@1 61.719 (59.997) Prec@5 84.375 (81.561) Epoch: [59][4480/10010] Time 0.341 (0.326) Data 0.001 (0.001) Loss 2.0319 (1.7528) Prec@1 53.906 (59.992) Prec@5 78.906 (81.558) Epoch: [59][4490/10010] Time 0.319 (0.326) Data 0.001 (0.001) Loss 1.6590 (1.7529) Prec@1 59.375 (59.990) Prec@5 78.906 (81.556) Epoch: [59][4500/10010] Time 0.310 (0.326) Data 0.001 (0.001) Loss 1.9905 (1.7532) Prec@1 53.906 (59.984) Prec@5 77.344 (81.552) Epoch: [59][4510/10010] Time 0.341 (0.326) Data 0.001 (0.001) Loss 2.0091 (1.7532) Prec@1 57.031 (59.986) Prec@5 82.031 (81.551) Epoch: [59][4520/10010] Time 0.321 (0.326) Data 0.001 (0.001) Loss 1.7815 (1.7532) Prec@1 53.906 (59.986) Prec@5 82.031 (81.551) Epoch: [59][4530/10010] Time 0.329 (0.326) Data 0.001 (0.001) Loss 1.8966 (1.7534) Prec@1 55.469 (59.980) Prec@5 77.344 (81.549) Epoch: [59][4540/10010] Time 0.313 (0.326) Data 0.001 (0.001) Loss 1.8780 (1.7534) Prec@1 60.938 (59.981) Prec@5 77.344 (81.550) Epoch: [59][4550/10010] Time 0.323 (0.326) Data 0.001 (0.001) Loss 2.0025 (1.7534) Prec@1 58.594 (59.985) Prec@5 78.906 (81.548) Epoch: [59][4560/10010] Time 0.325 (0.326) Data 0.001 (0.001) Loss 1.7269 (1.7534) Prec@1 63.281 (59.985) Prec@5 80.469 (81.550) Epoch: [59][4570/10010] Time 0.332 (0.326) Data 0.000 (0.001) Loss 2.3598 (1.7535) Prec@1 52.344 (59.984) Prec@5 71.875 (81.549) Epoch: [59][4580/10010] Time 0.337 (0.326) Data 0.001 (0.001) Loss 1.5435 (1.7534) Prec@1 68.750 (59.988) Prec@5 85.938 (81.550) Epoch: [59][4590/10010] Time 0.323 (0.326) Data 0.001 (0.001) Loss 1.9508 (1.7535) Prec@1 59.375 (59.988) Prec@5 77.344 (81.549) Epoch: [59][4600/10010] Time 0.316 (0.326) Data 0.000 (0.001) Loss 1.7652 (1.7534) Prec@1 62.500 (59.988) Prec@5 81.250 (81.552) Epoch: [59][4610/10010] Time 0.336 (0.326) Data 0.001 (0.001) Loss 1.6636 (1.7533) Prec@1 67.188 (59.992) Prec@5 78.906 (81.553) Epoch: [59][4620/10010] Time 0.316 (0.326) Data 0.001 (0.001) Loss 1.9952 (1.7532) Prec@1 57.031 (59.994) Prec@5 79.688 (81.555) Epoch: [59][4630/10010] Time 0.343 (0.326) Data 0.000 (0.001) Loss 1.5732 (1.7532) Prec@1 66.406 (59.994) Prec@5 81.250 (81.554) Epoch: [59][4640/10010] Time 0.314 (0.326) Data 0.001 (0.001) Loss 1.7202 (1.7531) Prec@1 60.156 (59.993) Prec@5 83.594 (81.554) Epoch: [59][4650/10010] Time 0.323 (0.326) Data 0.001 (0.001) Loss 1.7778 (1.7536) Prec@1 53.125 (59.984) Prec@5 82.031 (81.546) Epoch: [59][4660/10010] Time 0.339 (0.327) Data 0.001 (0.001) Loss 1.8093 (1.7537) Prec@1 56.250 (59.979) Prec@5 84.375 (81.546) Epoch: [59][4670/10010] Time 0.337 (0.327) Data 0.001 (0.001) Loss 1.7867 (1.7540) Prec@1 58.594 (59.970) Prec@5 80.469 (81.540) Epoch: [59][4680/10010] Time 0.328 (0.327) Data 0.000 (0.001) Loss 1.4493 (1.7541) Prec@1 65.625 (59.969) Prec@5 89.062 (81.537) Epoch: [59][4690/10010] Time 0.340 (0.327) Data 0.001 (0.001) Loss 1.9208 (1.7539) Prec@1 54.688 (59.974) Prec@5 78.125 (81.540) /data/vision/torralba/deepscene/lib/anaconda2/lib/python2.7/site-packages/PIL/TiffImagePlugin.py:692: UserWarning: Possibly corrupt EXIF data. Expecting to read 19660800 bytes but only got 0. Skipping tag 0 "Skipping tag %s" % (size, len(data), tag)) /data/vision/torralba/deepscene/lib/anaconda2/lib/python2.7/site-packages/PIL/TiffImagePlugin.py:692: UserWarning: Possibly corrupt EXIF data. Expecting to read 18481152 bytes but only got 0. Skipping tag 0 "Skipping tag %s" % (size, len(data), tag)) /data/vision/torralba/deepscene/lib/anaconda2/lib/python2.7/site-packages/PIL/TiffImagePlugin.py:692: UserWarning: Possibly corrupt EXIF data. Expecting to read 37093376 bytes but only got 0. Skipping tag 0 "Skipping tag %s" % (size, len(data), tag)) /data/vision/torralba/deepscene/lib/anaconda2/lib/python2.7/site-packages/PIL/TiffImagePlugin.py:692: UserWarning: Possibly corrupt EXIF data. Expecting to read 39976960 bytes but only got 0. Skipping tag 0 "Skipping tag %s" % (size, len(data), tag)) /data/vision/torralba/deepscene/lib/anaconda2/lib/python2.7/site-packages/PIL/TiffImagePlugin.py:692: UserWarning: Possibly corrupt EXIF data. Expecting to read 34865152 bytes but only got 0. Skipping tag 0 "Skipping tag %s" % (size, len(data), tag)) /data/vision/torralba/deepscene/lib/anaconda2/lib/python2.7/site-packages/PIL/TiffImagePlugin.py:709: UserWarning: Corrupt EXIF data. Expecting to read 12 bytes but only got 10. warnings.warn(str(msg)) Epoch: [59][4700/10010] Time 0.316 (0.327) Data 0.001 (0.001) Loss 1.6155 (1.7540) Prec@1 64.062 (59.976) Prec@5 83.594 (81.537) Epoch: [59][4710/10010] Time 0.340 (0.327) Data 0.001 (0.001) Loss 1.8117 (1.7541) Prec@1 59.375 (59.975) Prec@5 82.031 (81.538) Epoch: [59][4720/10010] Time 0.326 (0.327) Data 0.001 (0.001) Loss 2.1895 (1.7542) Prec@1 53.906 (59.973) Prec@5 77.344 (81.537) Epoch: [59][4730/10010] Time 0.314 (0.327) Data 0.001 (0.001) Loss 1.6955 (1.7543) Prec@1 65.625 (59.972) Prec@5 82.812 (81.534) Epoch: [59][4740/10010] Time 0.338 (0.327) Data 0.001 (0.001) Loss 1.8753 (1.7543) Prec@1 57.812 (59.972) Prec@5 81.250 (81.534) Epoch: [59][4750/10010] Time 0.331 (0.327) Data 0.001 (0.001) Loss 1.9629 (1.7544) Prec@1 57.812 (59.969) Prec@5 75.781 (81.533) Epoch: [59][4760/10010] Time 0.328 (0.327) Data 0.001 (0.001) Loss 1.6687 (1.7543) Prec@1 57.812 (59.971) Prec@5 85.938 (81.532) Epoch: [59][4770/10010] Time 0.327 (0.327) Data 0.001 (0.001) Loss 1.6505 (1.7541) Prec@1 61.719 (59.978) Prec@5 82.031 (81.534) Epoch: [59][4780/10010] Time 0.318 (0.327) Data 0.000 (0.001) Loss 1.8227 (1.7540) Prec@1 55.469 (59.979) Prec@5 83.594 (81.538) Epoch: [59][4790/10010] Time 0.317 (0.327) Data 0.001 (0.001) Loss 1.5408 (1.7539) Prec@1 65.625 (59.985) Prec@5 86.719 (81.539) Epoch: [59][4800/10010] Time 0.318 (0.327) Data 0.000 (0.001) Loss 1.6773 (1.7537) Prec@1 61.719 (59.988) Prec@5 83.594 (81.542) Epoch: [59][4810/10010] Time 0.323 (0.327) Data 0.001 (0.001) Loss 1.4690 (1.7536) Prec@1 63.281 (59.988) Prec@5 85.156 (81.542) Epoch: [59][4820/10010] Time 0.338 (0.327) Data 0.001 (0.001) Loss 1.7935 (1.7536) Prec@1 59.375 (59.989) Prec@5 83.594 (81.543) Epoch: [59][4830/10010] Time 0.338 (0.327) Data 0.000 (0.001) Loss 1.7782 (1.7536) Prec@1 60.938 (59.991) Prec@5 84.375 (81.546) Epoch: [59][4840/10010] Time 0.317 (0.327) Data 0.001 (0.001) Loss 1.7560 (1.7536) Prec@1 61.719 (59.988) Prec@5 78.906 (81.543) Epoch: [59][4850/10010] Time 0.319 (0.327) Data 0.000 (0.001) Loss 1.8088 (1.7537) Prec@1 58.594 (59.990) Prec@5 82.031 (81.541) Epoch: [59][4860/10010] Time 0.325 (0.327) Data 0.001 (0.001) Loss 1.5899 (1.7536) Prec@1 64.062 (59.994) Prec@5 83.594 (81.542) Epoch: [59][4870/10010] Time 0.332 (0.327) Data 0.001 (0.001) Loss 1.5310 (1.7536) Prec@1 65.625 (59.993) Prec@5 82.812 (81.540) Epoch: [59][4880/10010] Time 0.320 (0.327) Data 0.001 (0.001) Loss 2.1882 (1.7539) Prec@1 51.562 (59.989) Prec@5 78.906 (81.538) Epoch: [59][4890/10010] Time 0.334 (0.327) Data 0.001 (0.001) Loss 1.7361 (1.7539) Prec@1 53.906 (59.988) Prec@5 83.594 (81.537) Epoch: [59][4900/10010] Time 0.318 (0.327) Data 0.001 (0.001) Loss 1.8293 (1.7540) Prec@1 58.594 (59.983) Prec@5 78.906 (81.535) Epoch: [59][4910/10010] Time 0.320 (0.327) Data 0.000 (0.001) Loss 1.5542 (1.7539) Prec@1 64.062 (59.983) Prec@5 84.375 (81.537) Epoch: [59][4920/10010] Time 0.327 (0.327) Data 0.001 (0.001) Loss 1.6769 (1.7540) Prec@1 60.156 (59.980) Prec@5 82.031 (81.536) Epoch: [59][4930/10010] Time 0.319 (0.327) Data 0.001 (0.001) Loss 2.0052 (1.7541) Prec@1 55.469 (59.980) Prec@5 78.125 (81.532) Epoch: [59][4940/10010] Time 0.337 (0.327) Data 0.000 (0.001) Loss 1.5272 (1.7541) Prec@1 63.281 (59.977) Prec@5 84.375 (81.533) Epoch: [59][4950/10010] Time 0.324 (0.327) Data 0.001 (0.001) Loss 1.9431 (1.7542) Prec@1 52.344 (59.973) Prec@5 74.219 (81.531) Epoch: [59][4960/10010] Time 0.334 (0.327) Data 0.001 (0.001) Loss 1.8383 (1.7545) Prec@1 56.250 (59.967) Prec@5 78.906 (81.525) Epoch: [59][4970/10010] Time 0.315 (0.327) Data 0.001 (0.001) Loss 1.5741 (1.7543) Prec@1 67.969 (59.972) Prec@5 83.594 (81.527) Epoch: [59][4980/10010] Time 0.327 (0.327) Data 0.001 (0.001) Loss 1.7747 (1.7543) Prec@1 59.375 (59.976) Prec@5 80.469 (81.529) Epoch: [59][4990/10010] Time 0.318 (0.326) Data 0.000 (0.001) Loss 1.9384 (1.7542) Prec@1 56.250 (59.975) Prec@5 75.781 (81.529) Epoch: [59][5000/10010] Time 0.321 (0.326) Data 0.001 (0.001) Loss 1.7126 (1.7541) Prec@1 61.719 (59.978) Prec@5 78.906 (81.531) Epoch: [59][5010/10010] Time 0.323 (0.326) Data 0.001 (0.001) Loss 1.8474 (1.7541) Prec@1 60.156 (59.978) Prec@5 81.250 (81.531) Epoch: [59][5020/10010] Time 0.311 (0.326) Data 0.000 (0.001) Loss 1.8549 (1.7541) Prec@1 52.344 (59.977) Prec@5 81.250 (81.530) Epoch: [59][5030/10010] Time 0.325 (0.326) Data 0.000 (0.001) Loss 1.6160 (1.7541) Prec@1 61.719 (59.978) Prec@5 83.594 (81.530) Epoch: [59][5040/10010] Time 0.335 (0.326) Data 0.001 (0.001) Loss 1.8660 (1.7542) Prec@1 58.594 (59.976) Prec@5 80.469 (81.527) Epoch: [59][5050/10010] Time 0.318 (0.326) Data 0.001 (0.001) Loss 1.6251 (1.7542) Prec@1 61.719 (59.977) Prec@5 85.156 (81.526) Epoch: [59][5060/10010] Time 0.320 (0.326) Data 0.001 (0.001) Loss 2.0338 (1.7545) Prec@1 52.344 (59.972) Prec@5 77.344 (81.521) Epoch: [59][5070/10010] Time 0.322 (0.326) Data 0.000 (0.001) Loss 2.0343 (1.7544) Prec@1 56.250 (59.972) Prec@5 73.438 (81.519) Epoch: [59][5080/10010] Time 0.333 (0.326) Data 0.000 (0.001) Loss 1.7645 (1.7545) Prec@1 62.500 (59.973) Prec@5 82.812 (81.518) Epoch: [59][5090/10010] Time 0.332 (0.326) Data 0.001 (0.001) Loss 1.6528 (1.7546) Prec@1 59.375 (59.971) Prec@5 82.031 (81.517) Epoch: [59][5100/10010] Time 0.317 (0.326) Data 0.001 (0.001) Loss 1.7836 (1.7547) Prec@1 60.938 (59.970) Prec@5 82.812 (81.515) Epoch: [59][5110/10010] Time 0.337 (0.326) Data 0.000 (0.001) Loss 1.8369 (1.7544) Prec@1 57.812 (59.974) Prec@5 78.125 (81.518) Epoch: [59][5120/10010] Time 0.317 (0.326) Data 0.001 (0.001) Loss 1.8937 (1.7544) Prec@1 57.812 (59.974) Prec@5 81.250 (81.518) Epoch: [59][5130/10010] Time 0.333 (0.326) Data 0.001 (0.001) Loss 1.8775 (1.7544) Prec@1 60.156 (59.973) Prec@5 78.906 (81.517) Epoch: [59][5140/10010] Time 0.326 (0.326) Data 0.000 (0.001) Loss 1.5890 (1.7543) Prec@1 64.844 (59.977) Prec@5 85.938 (81.519) Epoch: [59][5150/10010] Time 0.317 (0.326) Data 0.001 (0.001) Loss 1.4982 (1.7543) Prec@1 63.281 (59.975) Prec@5 87.500 (81.518) Epoch: [59][5160/10010] Time 0.338 (0.326) Data 0.000 (0.001) Loss 1.7796 (1.7544) Prec@1 55.469 (59.973) Prec@5 82.031 (81.517) Epoch: [59][5170/10010] Time 0.334 (0.326) Data 0.001 (0.001) Loss 1.6116 (1.7544) Prec@1 55.469 (59.975) Prec@5 85.156 (81.518) Epoch: [59][5180/10010] Time 0.325 (0.326) Data 0.001 (0.001) Loss 1.5465 (1.7543) Prec@1 67.188 (59.979) Prec@5 81.250 (81.518) Epoch: [59][5190/10010] Time 0.332 (0.326) Data 0.000 (0.001) Loss 1.7948 (1.7541) Prec@1 55.469 (59.982) Prec@5 82.812 (81.518) Epoch: [59][5200/10010] Time 0.317 (0.326) Data 0.001 (0.001) Loss 1.6880 (1.7542) Prec@1 67.969 (59.982) Prec@5 82.031 (81.516) Epoch: [59][5210/10010] Time 0.318 (0.326) Data 0.000 (0.001) Loss 1.7675 (1.7544) Prec@1 54.688 (59.976) Prec@5 84.375 (81.514) Epoch: [59][5220/10010] Time 0.313 (0.326) Data 0.001 (0.001) Loss 1.7564 (1.7545) Prec@1 64.062 (59.978) Prec@5 78.125 (81.512) Epoch: [59][5230/10010] Time 0.319 (0.326) Data 0.001 (0.001) Loss 1.8501 (1.7545) Prec@1 60.156 (59.976) Prec@5 79.688 (81.511) Epoch: [59][5240/10010] Time 0.322 (0.326) Data 0.001 (0.001) Loss 1.6464 (1.7546) Prec@1 63.281 (59.973) Prec@5 85.156 (81.510) Epoch: [59][5250/10010] Time 0.323 (0.326) Data 0.001 (0.001) Loss 2.0318 (1.7547) Prec@1 59.375 (59.970) Prec@5 75.781 (81.509) Epoch: [59][5260/10010] Time 0.322 (0.326) Data 0.000 (0.001) Loss 1.8245 (1.7548) Prec@1 62.500 (59.970) Prec@5 79.688 (81.507) Epoch: [59][5270/10010] Time 0.317 (0.326) Data 0.000 (0.001) Loss 1.6279 (1.7547) Prec@1 60.938 (59.970) Prec@5 82.031 (81.506) Epoch: [59][5280/10010] Time 0.322 (0.326) Data 0.000 (0.001) Loss 1.6779 (1.7547) Prec@1 62.500 (59.971) Prec@5 82.812 (81.505) Epoch: [59][5290/10010] Time 0.325 (0.326) Data 0.001 (0.001) Loss 1.7593 (1.7546) Prec@1 62.500 (59.971) Prec@5 82.812 (81.506) Epoch: [59][5300/10010] Time 0.322 (0.326) Data 0.000 (0.001) Loss 1.4345 (1.7546) Prec@1 65.625 (59.971) Prec@5 85.156 (81.505) Epoch: [59][5310/10010] Time 0.340 (0.326) Data 0.001 (0.001) Loss 2.0177 (1.7547) Prec@1 60.938 (59.971) Prec@5 80.469 (81.504) Epoch: [59][5320/10010] Time 0.341 (0.326) Data 0.001 (0.001) Loss 1.4283 (1.7546) Prec@1 65.625 (59.971) Prec@5 88.281 (81.505) Epoch: [59][5330/10010] Time 0.316 (0.326) Data 0.000 (0.001) Loss 1.6987 (1.7546) Prec@1 60.938 (59.970) Prec@5 84.375 (81.505) Epoch: [59][5340/10010] Time 0.316 (0.326) Data 0.001 (0.001) Loss 1.6823 (1.7544) Prec@1 59.375 (59.972) Prec@5 82.031 (81.504) Epoch: [59][5350/10010] Time 0.320 (0.326) Data 0.001 (0.001) Loss 1.6834 (1.7545) Prec@1 62.500 (59.971) Prec@5 79.688 (81.502) Epoch: [59][5360/10010] Time 0.325 (0.326) Data 0.001 (0.001) Loss 1.4359 (1.7546) Prec@1 64.844 (59.969) Prec@5 88.281 (81.499) Epoch: [59][5370/10010] Time 0.336 (0.326) Data 0.000 (0.001) Loss 1.6338 (1.7545) Prec@1 62.500 (59.971) Prec@5 82.812 (81.501) Epoch: [59][5380/10010] Time 0.318 (0.326) Data 0.001 (0.001) Loss 2.1516 (1.7547) Prec@1 52.344 (59.965) Prec@5 71.875 (81.499) Epoch: [59][5390/10010] Time 0.342 (0.326) Data 0.000 (0.001) Loss 1.7308 (1.7547) Prec@1 59.375 (59.965) Prec@5 82.031 (81.499) Epoch: [59][5400/10010] Time 0.316 (0.326) Data 0.001 (0.001) Loss 1.9309 (1.7546) Prec@1 52.344 (59.962) Prec@5 77.344 (81.499) Epoch: [59][5410/10010] Time 0.336 (0.326) Data 0.000 (0.001) Loss 1.6910 (1.7547) Prec@1 62.500 (59.963) Prec@5 82.031 (81.499) Epoch: [59][5420/10010] Time 0.321 (0.326) Data 0.001 (0.001) Loss 1.5964 (1.7545) Prec@1 63.281 (59.966) Prec@5 84.375 (81.500) Epoch: [59][5430/10010] Time 0.345 (0.326) Data 0.001 (0.001) Loss 1.7292 (1.7544) Prec@1 56.250 (59.966) Prec@5 81.250 (81.501) Epoch: [59][5440/10010] Time 0.330 (0.326) Data 0.001 (0.001) Loss 1.8288 (1.7547) Prec@1 53.906 (59.963) Prec@5 81.250 (81.496) Epoch: [59][5450/10010] Time 0.326 (0.326) Data 0.000 (0.001) Loss 1.8024 (1.7545) Prec@1 61.719 (59.964) Prec@5 82.031 (81.500) Epoch: [59][5460/10010] Time 0.320 (0.326) Data 0.001 (0.001) Loss 2.0085 (1.7546) Prec@1 53.906 (59.962) Prec@5 77.344 (81.496) Epoch: [59][5470/10010] Time 0.336 (0.326) Data 0.001 (0.001) Loss 1.3826 (1.7545) Prec@1 68.750 (59.963) Prec@5 88.281 (81.498) Epoch: [59][5480/10010] Time 0.336 (0.326) Data 0.001 (0.001) Loss 1.7819 (1.7545) Prec@1 60.156 (59.962) Prec@5 82.031 (81.499) Epoch: [59][5490/10010] Time 0.315 (0.326) Data 0.001 (0.001) Loss 1.6993 (1.7546) Prec@1 64.062 (59.960) Prec@5 83.594 (81.496) Epoch: [59][5500/10010] Time 0.327 (0.326) Data 0.001 (0.001) Loss 1.8468 (1.7545) Prec@1 64.844 (59.962) Prec@5 78.125 (81.499) Epoch: [59][5510/10010] Time 0.321 (0.326) Data 0.000 (0.001) Loss 1.7335 (1.7545) Prec@1 63.281 (59.961) Prec@5 81.250 (81.497) Epoch: [59][5520/10010] Time 0.338 (0.326) Data 0.000 (0.001) Loss 1.9343 (1.7547) Prec@1 55.469 (59.960) Prec@5 76.562 (81.495) Epoch: [59][5530/10010] Time 0.331 (0.326) Data 0.001 (0.001) Loss 1.8169 (1.7546) Prec@1 57.812 (59.964) Prec@5 80.469 (81.496) Epoch: [59][5540/10010] Time 0.332 (0.326) Data 0.001 (0.001) Loss 1.7610 (1.7548) Prec@1 61.719 (59.961) Prec@5 82.812 (81.496) Epoch: [59][5550/10010] Time 0.328 (0.326) Data 0.001 (0.001) Loss 2.0509 (1.7550) Prec@1 54.688 (59.959) Prec@5 75.000 (81.495) Epoch: [59][5560/10010] Time 0.320 (0.326) Data 0.001 (0.001) Loss 2.0172 (1.7550) Prec@1 56.250 (59.957) Prec@5 74.219 (81.493) Epoch: [59][5570/10010] Time 0.344 (0.326) Data 0.001 (0.001) Loss 1.8560 (1.7551) Prec@1 57.031 (59.957) Prec@5 80.469 (81.492) Epoch: [59][5580/10010] Time 0.333 (0.326) Data 0.001 (0.001) Loss 1.5770 (1.7552) Prec@1 61.719 (59.956) Prec@5 82.812 (81.490) Epoch: [59][5590/10010] Time 0.324 (0.326) Data 0.000 (0.001) Loss 1.9203 (1.7552) Prec@1 57.031 (59.955) Prec@5 81.250 (81.492) Epoch: [59][5600/10010] Time 0.332 (0.326) Data 0.001 (0.001) Loss 1.6035 (1.7553) Prec@1 61.719 (59.955) Prec@5 82.031 (81.492) Epoch: [59][5610/10010] Time 0.319 (0.326) Data 0.000 (0.001) Loss 1.5395 (1.7553) Prec@1 64.062 (59.953) Prec@5 87.500 (81.490) Epoch: [59][5620/10010] Time 0.333 (0.326) Data 0.001 (0.001) Loss 1.5772 (1.7552) Prec@1 65.625 (59.956) Prec@5 81.250 (81.489) Epoch: [59][5630/10010] Time 0.333 (0.326) Data 0.000 (0.001) Loss 1.9282 (1.7552) Prec@1 53.906 (59.955) Prec@5 76.562 (81.491) Epoch: [59][5640/10010] Time 0.336 (0.326) Data 0.001 (0.001) Loss 1.7073 (1.7552) Prec@1 60.156 (59.954) Prec@5 81.250 (81.491) Epoch: [59][5650/10010] Time 0.313 (0.326) Data 0.000 (0.001) Loss 1.5435 (1.7551) Prec@1 61.719 (59.954) Prec@5 81.250 (81.492) Epoch: [59][5660/10010] Time 0.315 (0.326) Data 0.001 (0.001) Loss 1.5777 (1.7550) Prec@1 62.500 (59.956) Prec@5 78.906 (81.494) Epoch: [59][5670/10010] Time 0.316 (0.326) Data 0.001 (0.001) Loss 1.5709 (1.7551) Prec@1 62.500 (59.953) Prec@5 83.594 (81.493) Epoch: [59][5680/10010] Time 0.341 (0.326) Data 0.001 (0.001) Loss 1.8095 (1.7552) Prec@1 61.719 (59.952) Prec@5 82.031 (81.492) Epoch: [59][5690/10010] Time 0.321 (0.326) Data 0.000 (0.001) Loss 1.6540 (1.7551) Prec@1 59.375 (59.953) Prec@5 82.031 (81.494) Epoch: [59][5700/10010] Time 0.329 (0.326) Data 0.001 (0.001) Loss 2.1627 (1.7551) Prec@1 46.094 (59.951) Prec@5 75.000 (81.493) Epoch: [59][5710/10010] Time 0.327 (0.326) Data 0.000 (0.001) Loss 1.8833 (1.7550) Prec@1 57.812 (59.955) Prec@5 80.469 (81.494) Epoch: [59][5720/10010] Time 0.332 (0.326) Data 0.000 (0.001) Loss 1.5648 (1.7550) Prec@1 60.156 (59.953) Prec@5 84.375 (81.496) Epoch: [59][5730/10010] Time 0.322 (0.326) Data 0.001 (0.001) Loss 1.7957 (1.7551) Prec@1 58.594 (59.952) Prec@5 81.250 (81.495) Epoch: [59][5740/10010] Time 0.322 (0.326) Data 0.000 (0.001) Loss 1.5437 (1.7550) Prec@1 60.938 (59.951) Prec@5 82.812 (81.497) Epoch: [59][5750/10010] Time 0.317 (0.326) Data 0.001 (0.001) Loss 1.9475 (1.7551) Prec@1 56.250 (59.947) Prec@5 78.906 (81.496) Epoch: [59][5760/10010] Time 0.311 (0.326) Data 0.001 (0.001) Loss 1.5814 (1.7551) Prec@1 65.625 (59.950) Prec@5 84.375 (81.494) Epoch: [59][5770/10010] Time 0.319 (0.326) Data 0.001 (0.001) Loss 1.8131 (1.7552) Prec@1 60.938 (59.947) Prec@5 83.594 (81.494) Epoch: [59][5780/10010] Time 0.316 (0.326) Data 0.000 (0.001) Loss 1.9649 (1.7554) Prec@1 53.125 (59.945) Prec@5 76.562 (81.491) Epoch: [59][5790/10010] Time 0.335 (0.326) Data 0.001 (0.001) Loss 1.6639 (1.7554) Prec@1 59.375 (59.940) Prec@5 81.250 (81.490) Epoch: [59][5800/10010] Time 0.336 (0.326) Data 0.000 (0.001) Loss 1.6380 (1.7553) Prec@1 66.406 (59.943) Prec@5 82.031 (81.490) Epoch: [59][5810/10010] Time 0.346 (0.326) Data 0.005 (0.001) Loss 1.9903 (1.7553) Prec@1 60.156 (59.945) Prec@5 78.125 (81.490) Epoch: [59][5820/10010] Time 0.331 (0.326) Data 0.001 (0.001) Loss 2.0919 (1.7554) Prec@1 50.781 (59.943) Prec@5 76.562 (81.490) Epoch: [59][5830/10010] Time 0.317 (0.326) Data 0.001 (0.001) Loss 1.6416 (1.7554) Prec@1 59.375 (59.941) Prec@5 81.250 (81.487) Epoch: [59][5840/10010] Time 0.329 (0.326) Data 0.001 (0.001) Loss 1.5539 (1.7554) Prec@1 60.938 (59.939) Prec@5 84.375 (81.488) Epoch: [59][5850/10010] Time 0.322 (0.326) Data 0.001 (0.001) Loss 2.1830 (1.7556) Prec@1 46.875 (59.935) Prec@5 77.344 (81.485) Epoch: [59][5860/10010] Time 0.313 (0.326) Data 0.001 (0.001) Loss 2.2489 (1.7557) Prec@1 50.781 (59.932) Prec@5 74.219 (81.483) Epoch: [59][5870/10010] Time 0.318 (0.326) Data 0.001 (0.001) Loss 2.0209 (1.7559) Prec@1 52.344 (59.930) Prec@5 78.906 (81.482) Epoch: [59][5880/10010] Time 0.309 (0.326) Data 0.001 (0.001) Loss 1.8611 (1.7558) Prec@1 60.156 (59.929) Prec@5 75.781 (81.481) Epoch: [59][5890/10010] Time 0.314 (0.326) Data 0.000 (0.001) Loss 1.7256 (1.7559) Prec@1 60.156 (59.928) Prec@5 79.688 (81.479) Epoch: [59][5900/10010] Time 0.329 (0.326) Data 0.001 (0.001) Loss 1.5801 (1.7560) Prec@1 59.375 (59.925) Prec@5 85.938 (81.479) Epoch: [59][5910/10010] Time 0.338 (0.326) Data 0.001 (0.001) Loss 1.5515 (1.7559) Prec@1 64.844 (59.927) Prec@5 84.375 (81.480) Epoch: [59][5920/10010] Time 0.314 (0.326) Data 0.001 (0.001) Loss 1.8326 (1.7560) Prec@1 61.719 (59.924) Prec@5 82.812 (81.478) Epoch: [59][5930/10010] Time 0.316 (0.326) Data 0.001 (0.001) Loss 2.0305 (1.7562) Prec@1 57.031 (59.923) Prec@5 77.344 (81.477) Epoch: [59][5940/10010] Time 0.323 (0.326) Data 0.001 (0.001) Loss 1.6482 (1.7560) Prec@1 64.062 (59.924) Prec@5 80.469 (81.481) Epoch: [59][5950/10010] Time 0.320 (0.326) Data 0.000 (0.001) Loss 1.3172 (1.7559) Prec@1 69.531 (59.927) Prec@5 86.719 (81.483) Epoch: [59][5960/10010] Time 0.319 (0.326) Data 0.001 (0.001) Loss 1.7575 (1.7559) Prec@1 60.156 (59.927) Prec@5 82.812 (81.482) Epoch: [59][5970/10010] Time 0.326 (0.326) Data 0.001 (0.001) Loss 1.3213 (1.7558) Prec@1 70.312 (59.931) Prec@5 89.844 (81.484) Epoch: [59][5980/10010] Time 0.313 (0.326) Data 0.001 (0.001) Loss 1.6145 (1.7557) Prec@1 62.500 (59.932) Prec@5 85.938 (81.486) Epoch: [59][5990/10010] Time 0.338 (0.326) Data 0.001 (0.001) Loss 1.6053 (1.7557) Prec@1 57.031 (59.930) Prec@5 79.688 (81.486) Epoch: [59][6000/10010] Time 0.324 (0.326) Data 0.001 (0.001) Loss 1.8400 (1.7558) Prec@1 56.250 (59.926) Prec@5 83.594 (81.484) Epoch: [59][6010/10010] Time 0.321 (0.326) Data 0.001 (0.001) Loss 1.8985 (1.7560) Prec@1 56.250 (59.922) Prec@5 78.125 (81.484) Epoch: [59][6020/10010] Time 0.334 (0.326) Data 0.001 (0.001) Loss 1.5083 (1.7561) Prec@1 65.625 (59.922) Prec@5 83.594 (81.480) Epoch: [59][6030/10010] Time 0.316 (0.326) Data 0.001 (0.001) Loss 1.6823 (1.7561) Prec@1 65.625 (59.922) Prec@5 81.250 (81.480) Epoch: [59][6040/10010] Time 0.325 (0.326) Data 0.001 (0.001) Loss 1.6462 (1.7560) Prec@1 60.938 (59.927) Prec@5 82.812 (81.482) Epoch: [59][6050/10010] Time 0.319 (0.326) Data 0.000 (0.001) Loss 2.1487 (1.7558) Prec@1 53.125 (59.927) Prec@5 75.781 (81.484) Epoch: [59][6060/10010] Time 0.314 (0.326) Data 0.001 (0.001) Loss 1.9087 (1.7558) Prec@1 59.375 (59.929) Prec@5 78.125 (81.484) Epoch: [59][6070/10010] Time 0.334 (0.326) Data 0.001 (0.001) Loss 1.9005 (1.7557) Prec@1 53.125 (59.927) Prec@5 78.906 (81.484) Epoch: [59][6080/10010] Time 0.316 (0.326) Data 0.001 (0.001) Loss 1.6801 (1.7556) Prec@1 61.719 (59.930) Prec@5 82.812 (81.485) Epoch: [59][6090/10010] Time 0.331 (0.326) Data 0.000 (0.001) Loss 1.8143 (1.7557) Prec@1 57.812 (59.929) Prec@5 80.469 (81.483) /data/vision/torralba/deepscene/lib/anaconda2/lib/python2.7/site-packages/PIL/TiffImagePlugin.py:692: UserWarning: Possibly corrupt EXIF data. Expecting to read 2555904 bytes but only got 0. Skipping tag 0 "Skipping tag %s" % (size, len(data), tag)) Epoch: [59][6100/10010] Time 0.324 (0.326) Data 0.001 (0.001) Loss 1.6654 (1.7558) Prec@1 65.625 (59.926) Prec@5 82.812 (81.479) Epoch: [59][6110/10010] Time 0.337 (0.326) Data 0.001 (0.001) Loss 1.7292 (1.7559) Prec@1 61.719 (59.925) Prec@5 82.812 (81.477) Epoch: [59][6120/10010] Time 0.321 (0.326) Data 0.001 (0.001) Loss 1.7710 (1.7559) Prec@1 60.156 (59.926) Prec@5 79.688 (81.477) Epoch: [59][6130/10010] Time 0.330 (0.326) Data 0.001 (0.001) Loss 1.9713 (1.7559) Prec@1 54.688 (59.925) Prec@5 80.469 (81.477) Epoch: [59][6140/10010] Time 0.316 (0.326) Data 0.001 (0.001) Loss 1.5269 (1.7558) Prec@1 64.062 (59.927) Prec@5 85.938 (81.477) Epoch: [59][6150/10010] Time 0.317 (0.326) Data 0.000 (0.001) Loss 1.7223 (1.7557) Prec@1 58.594 (59.929) Prec@5 83.594 (81.478) Epoch: [59][6160/10010] Time 0.327 (0.326) Data 0.000 (0.001) Loss 1.6006 (1.7557) Prec@1 63.281 (59.930) Prec@5 84.375 (81.481) Epoch: [59][6170/10010] Time 0.340 (0.326) Data 0.001 (0.001) Loss 1.9425 (1.7557) Prec@1 57.031 (59.928) Prec@5 79.688 (81.481) Epoch: [59][6180/10010] Time 0.332 (0.326) Data 0.001 (0.001) Loss 1.8197 (1.7559) Prec@1 59.375 (59.926) Prec@5 77.344 (81.479) Epoch: [59][6190/10010] Time 0.326 (0.326) Data 0.001 (0.001) Loss 1.6690 (1.7558) Prec@1 64.062 (59.926) Prec@5 80.469 (81.478) Epoch: [59][6200/10010] Time 0.334 (0.326) Data 0.001 (0.001) Loss 1.6616 (1.7559) Prec@1 58.594 (59.923) Prec@5 85.938 (81.480) Epoch: [59][6210/10010] Time 0.316 (0.326) Data 0.001 (0.001) Loss 2.3255 (1.7561) Prec@1 52.344 (59.921) Prec@5 75.000 (81.478) Epoch: [59][6220/10010] Time 0.332 (0.326) Data 0.001 (0.001) Loss 1.6591 (1.7560) Prec@1 63.281 (59.921) Prec@5 82.031 (81.479) Epoch: [59][6230/10010] Time 0.313 (0.326) Data 0.001 (0.001) Loss 1.5513 (1.7560) Prec@1 61.719 (59.922) Prec@5 83.594 (81.479) Epoch: [59][6240/10010] Time 0.336 (0.326) Data 0.001 (0.001) Loss 1.9873 (1.7561) Prec@1 57.031 (59.921) Prec@5 78.906 (81.476) Epoch: [59][6250/10010] Time 0.340 (0.326) Data 0.001 (0.001) Loss 1.3894 (1.7562) Prec@1 69.531 (59.919) Prec@5 86.719 (81.474) Epoch: [59][6260/10010] Time 0.339 (0.326) Data 0.001 (0.001) Loss 1.8384 (1.7562) Prec@1 59.375 (59.918) Prec@5 79.688 (81.475) Epoch: [59][6270/10010] Time 0.316 (0.326) Data 0.001 (0.001) Loss 1.7052 (1.7562) Prec@1 64.844 (59.921) Prec@5 85.156 (81.477) Epoch: [59][6280/10010] Time 0.323 (0.326) Data 0.000 (0.001) Loss 1.6457 (1.7562) Prec@1 61.719 (59.923) Prec@5 86.719 (81.476) Epoch: [59][6290/10010] Time 0.331 (0.326) Data 0.000 (0.001) Loss 1.8872 (1.7563) Prec@1 55.469 (59.921) Prec@5 78.125 (81.475) Epoch: [59][6300/10010] Time 0.320 (0.326) Data 0.000 (0.001) Loss 1.9812 (1.7565) Prec@1 56.250 (59.915) Prec@5 76.562 (81.472) Epoch: [59][6310/10010] Time 0.331 (0.326) Data 0.000 (0.001) Loss 1.4938 (1.7564) Prec@1 64.062 (59.916) Prec@5 83.594 (81.473) Epoch: [59][6320/10010] Time 0.331 (0.326) Data 0.001 (0.001) Loss 1.7856 (1.7564) Prec@1 54.688 (59.917) Prec@5 81.250 (81.474) Epoch: [59][6330/10010] Time 0.327 (0.326) Data 0.000 (0.001) Loss 1.9423 (1.7565) Prec@1 58.594 (59.914) Prec@5 76.562 (81.473) Epoch: [59][6340/10010] Time 0.339 (0.326) Data 0.000 (0.001) Loss 1.5086 (1.7566) Prec@1 63.281 (59.910) Prec@5 83.594 (81.471) Epoch: [59][6350/10010] Time 0.320 (0.326) Data 0.001 (0.001) Loss 1.9081 (1.7565) Prec@1 57.031 (59.911) Prec@5 77.344 (81.472) Epoch: [59][6360/10010] Time 0.313 (0.326) Data 0.000 (0.001) Loss 1.9165 (1.7566) Prec@1 58.594 (59.909) Prec@5 74.219 (81.469) Epoch: [59][6370/10010] Time 0.336 (0.326) Data 0.001 (0.001) Loss 1.9250 (1.7567) Prec@1 53.125 (59.906) Prec@5 81.250 (81.468) Epoch: [59][6380/10010] Time 0.323 (0.326) Data 0.000 (0.001) Loss 1.6482 (1.7567) Prec@1 57.031 (59.909) Prec@5 86.719 (81.471) Epoch: [59][6390/10010] Time 0.333 (0.326) Data 0.001 (0.001) Loss 1.8655 (1.7568) Prec@1 57.031 (59.907) Prec@5 78.906 (81.469) Epoch: [59][6400/10010] Time 0.316 (0.326) Data 0.001 (0.001) Loss 1.6530 (1.7568) Prec@1 64.844 (59.910) Prec@5 83.594 (81.469) Epoch: [59][6410/10010] Time 0.332 (0.326) Data 0.001 (0.001) Loss 1.4629 (1.7568) Prec@1 67.969 (59.909) Prec@5 83.594 (81.469) Epoch: [59][6420/10010] Time 0.318 (0.326) Data 0.000 (0.001) Loss 1.8384 (1.7568) Prec@1 57.812 (59.910) Prec@5 82.031 (81.472) Epoch: [59][6430/10010] Time 0.334 (0.326) Data 0.000 (0.001) Loss 1.7719 (1.7568) Prec@1 60.156 (59.910) Prec@5 80.469 (81.471) Epoch: [59][6440/10010] Time 0.317 (0.326) Data 0.000 (0.001) Loss 1.6061 (1.7569) Prec@1 60.938 (59.908) Prec@5 81.250 (81.468) Epoch: [59][6450/10010] Time 0.308 (0.326) Data 0.002 (0.001) Loss 2.0843 (1.7569) Prec@1 50.000 (59.906) Prec@5 75.781 (81.471) Epoch: [59][6460/10010] Time 0.334 (0.326) Data 0.000 (0.001) Loss 1.7261 (1.7570) Prec@1 63.281 (59.904) Prec@5 79.688 (81.469) Epoch: [59][6470/10010] Time 0.331 (0.326) Data 0.001 (0.001) Loss 1.7467 (1.7571) Prec@1 60.156 (59.902) Prec@5 78.906 (81.467) Epoch: [59][6480/10010] Time 0.330 (0.326) Data 0.001 (0.001) Loss 2.0034 (1.7573) Prec@1 52.344 (59.898) Prec@5 78.906 (81.465) Epoch: [59][6490/10010] Time 0.318 (0.326) Data 0.000 (0.001) Loss 1.8414 (1.7574) Prec@1 57.812 (59.896) Prec@5 78.125 (81.463) Epoch: [59][6500/10010] Time 0.339 (0.326) Data 0.001 (0.001) Loss 1.5842 (1.7573) Prec@1 64.844 (59.898) Prec@5 84.375 (81.466) /data/vision/torralba/deepscene/lib/anaconda2/lib/python2.7/site-packages/PIL/TiffImagePlugin.py:692: UserWarning: Possibly corrupt EXIF data. Expecting to read 2555904 bytes but only got 0. Skipping tag 0 "Skipping tag %s" % (size, len(data), tag)) Epoch: [59][6510/10010] Time 0.313 (0.326) Data 0.000 (0.001) Loss 1.5161 (1.7573) Prec@1 64.844 (59.900) Prec@5 86.719 (81.466) Epoch: [59][6520/10010] Time 0.327 (0.326) Data 0.001 (0.001) Loss 1.5575 (1.7572) Prec@1 61.719 (59.900) Prec@5 86.719 (81.467) Epoch: [59][6530/10010] Time 0.314 (0.326) Data 0.001 (0.001) Loss 1.3592 (1.7571) Prec@1 61.719 (59.901) Prec@5 89.062 (81.470) Epoch: [59][6540/10010] Time 0.321 (0.326) Data 0.001 (0.001) Loss 1.8621 (1.7572) Prec@1 57.812 (59.899) Prec@5 79.688 (81.469) Epoch: [59][6550/10010] Time 0.321 (0.326) Data 0.000 (0.001) Loss 1.8563 (1.7572) Prec@1 60.156 (59.899) Prec@5 75.000 (81.467) Epoch: [59][6560/10010] Time 0.323 (0.326) Data 0.001 (0.001) Loss 1.6449 (1.7573) Prec@1 63.281 (59.899) Prec@5 81.250 (81.465) Epoch: [59][6570/10010] Time 0.325 (0.326) Data 0.001 (0.001) Loss 2.0842 (1.7574) Prec@1 51.562 (59.896) Prec@5 79.688 (81.464) Epoch: [59][6580/10010] Time 0.327 (0.326) Data 0.001 (0.001) Loss 1.5306 (1.7574) Prec@1 60.938 (59.899) Prec@5 82.031 (81.463) Epoch: [59][6590/10010] Time 0.321 (0.326) Data 0.000 (0.001) Loss 1.4940 (1.7575) Prec@1 70.312 (59.896) Prec@5 83.594 (81.461) Epoch: [59][6600/10010] Time 0.309 (0.326) Data 0.001 (0.001) Loss 1.8914 (1.7575) Prec@1 54.688 (59.897) Prec@5 81.250 (81.463) Epoch: [59][6610/10010] Time 0.331 (0.326) Data 0.000 (0.001) Loss 2.0976 (1.7576) Prec@1 50.781 (59.897) Prec@5 76.562 (81.462) Epoch: [59][6620/10010] Time 0.339 (0.326) Data 0.000 (0.001) Loss 1.8268 (1.7577) Prec@1 59.375 (59.891) Prec@5 80.469 (81.460) Epoch: [59][6630/10010] Time 0.320 (0.326) Data 0.001 (0.001) Loss 1.6737 (1.7578) Prec@1 60.938 (59.889) Prec@5 84.375 (81.460) Epoch: [59][6640/10010] Time 0.332 (0.326) Data 0.001 (0.001) Loss 1.8793 (1.7577) Prec@1 61.719 (59.888) Prec@5 78.125 (81.460) Epoch: [59][6650/10010] Time 0.317 (0.326) Data 0.001 (0.001) Loss 1.3271 (1.7576) Prec@1 69.531 (59.893) Prec@5 87.500 (81.462) Epoch: [59][6660/10010] Time 0.333 (0.326) Data 0.000 (0.001) Loss 1.9863 (1.7577) Prec@1 56.250 (59.892) Prec@5 78.125 (81.460) Epoch: [59][6670/10010] Time 0.318 (0.326) Data 0.001 (0.001) Loss 1.8511 (1.7578) Prec@1 62.500 (59.890) Prec@5 78.906 (81.459) Epoch: [59][6680/10010] Time 0.340 (0.326) Data 0.001 (0.001) Loss 1.7925 (1.7577) Prec@1 60.156 (59.893) Prec@5 82.812 (81.461) Epoch: [59][6690/10010] Time 0.338 (0.326) Data 0.001 (0.001) Loss 1.7665 (1.7578) Prec@1 57.812 (59.894) Prec@5 82.031 (81.459) Epoch: [59][6700/10010] Time 0.333 (0.326) Data 0.001 (0.001) Loss 1.7568 (1.7578) Prec@1 58.594 (59.898) Prec@5 82.031 (81.458) Epoch: [59][6710/10010] Time 0.316 (0.326) Data 0.001 (0.001) Loss 2.1160 (1.7578) Prec@1 52.344 (59.897) Prec@5 77.344 (81.459) Epoch: [59][6720/10010] Time 0.320 (0.326) Data 0.001 (0.001) Loss 1.9234 (1.7578) Prec@1 60.156 (59.899) Prec@5 81.250 (81.459) Epoch: [59][6730/10010] Time 0.325 (0.326) Data 0.001 (0.001) Loss 1.6156 (1.7578) Prec@1 64.062 (59.897) Prec@5 82.812 (81.460) Epoch: [59][6740/10010] Time 0.328 (0.326) Data 0.001 (0.001) Loss 1.9262 (1.7578) Prec@1 55.469 (59.895) Prec@5 78.125 (81.460) Epoch: [59][6750/10010] Time 0.315 (0.326) Data 0.001 (0.001) Loss 1.8863 (1.7579) Prec@1 56.250 (59.893) Prec@5 78.906 (81.459) Epoch: [59][6760/10010] Time 0.327 (0.326) Data 0.001 (0.001) Loss 1.6947 (1.7579) Prec@1 61.719 (59.892) Prec@5 82.812 (81.457) Epoch: [59][6770/10010] Time 0.323 (0.326) Data 0.000 (0.001) Loss 1.9807 (1.7579) Prec@1 58.594 (59.892) Prec@5 74.219 (81.455) Epoch: [59][6780/10010] Time 0.318 (0.326) Data 0.000 (0.001) Loss 1.9793 (1.7581) Prec@1 55.469 (59.889) Prec@5 76.562 (81.452) Epoch: [59][6790/10010] Time 0.328 (0.326) Data 0.001 (0.001) Loss 1.9094 (1.7581) Prec@1 54.688 (59.887) Prec@5 80.469 (81.451) Epoch: [59][6800/10010] Time 0.313 (0.326) Data 0.000 (0.001) Loss 1.5702 (1.7580) Prec@1 61.719 (59.887) Prec@5 82.031 (81.451) Epoch: [59][6810/10010] Time 0.335 (0.326) Data 0.001 (0.001) Loss 1.3884 (1.7580) Prec@1 69.531 (59.889) Prec@5 85.938 (81.451) Epoch: [59][6820/10010] Time 0.336 (0.326) Data 0.001 (0.001) Loss 1.7152 (1.7581) Prec@1 59.375 (59.887) Prec@5 83.594 (81.451) Epoch: [59][6830/10010] Time 0.318 (0.326) Data 0.000 (0.001) Loss 1.7699 (1.7583) Prec@1 61.719 (59.885) Prec@5 78.906 (81.447) Epoch: [59][6840/10010] Time 0.314 (0.326) Data 0.000 (0.001) Loss 1.5880 (1.7582) Prec@1 59.375 (59.886) Prec@5 86.719 (81.448) Epoch: [59][6850/10010] Time 0.316 (0.326) Data 0.001 (0.001) Loss 2.0290 (1.7583) Prec@1 53.125 (59.886) Prec@5 77.344 (81.447) Epoch: [59][6860/10010] Time 0.330 (0.326) Data 0.001 (0.001) Loss 1.8013 (1.7582) Prec@1 60.938 (59.885) Prec@5 77.344 (81.445) Epoch: [59][6870/10010] Time 0.340 (0.326) Data 0.000 (0.001) Loss 1.7462 (1.7582) Prec@1 63.281 (59.885) Prec@5 82.031 (81.445) Epoch: [59][6880/10010] Time 0.312 (0.326) Data 0.001 (0.001) Loss 2.0998 (1.7582) Prec@1 55.469 (59.886) Prec@5 73.438 (81.444) Epoch: [59][6890/10010] Time 0.328 (0.326) Data 0.000 (0.001) Loss 1.9835 (1.7583) Prec@1 55.469 (59.883) Prec@5 77.344 (81.444) Epoch: [59][6900/10010] Time 0.325 (0.326) Data 0.000 (0.001) Loss 1.6053 (1.7584) Prec@1 64.062 (59.882) Prec@5 83.594 (81.444) Epoch: [59][6910/10010] Time 0.329 (0.326) Data 0.001 (0.001) Loss 1.8591 (1.7584) Prec@1 53.906 (59.882) Prec@5 79.688 (81.444) Epoch: [59][6920/10010] Time 0.317 (0.326) Data 0.001 (0.001) Loss 1.8790 (1.7584) Prec@1 61.719 (59.882) Prec@5 80.469 (81.444) Epoch: [59][6930/10010] Time 0.338 (0.326) Data 0.001 (0.001) Loss 1.8185 (1.7584) Prec@1 59.375 (59.881) Prec@5 77.344 (81.443) Epoch: [59][6940/10010] Time 0.310 (0.326) Data 0.001 (0.001) Loss 1.6376 (1.7583) Prec@1 60.938 (59.883) Prec@5 84.375 (81.445) Epoch: [59][6950/10010] Time 0.317 (0.326) Data 0.001 (0.001) Loss 1.4836 (1.7584) Prec@1 62.500 (59.882) Prec@5 87.500 (81.444) Epoch: [59][6960/10010] Time 0.332 (0.326) Data 0.001 (0.001) Loss 1.8687 (1.7584) Prec@1 57.031 (59.883) Prec@5 78.906 (81.443) Epoch: [59][6970/10010] Time 0.319 (0.326) Data 0.000 (0.001) Loss 1.4251 (1.7584) Prec@1 66.406 (59.884) Prec@5 89.844 (81.445) Epoch: [59][6980/10010] Time 0.316 (0.326) Data 0.000 (0.001) Loss 1.6480 (1.7584) Prec@1 59.375 (59.882) Prec@5 82.031 (81.444) Epoch: [59][6990/10010] Time 0.339 (0.326) Data 0.000 (0.001) Loss 1.9788 (1.7583) Prec@1 55.469 (59.884) Prec@5 79.688 (81.446) Epoch: [59][7000/10010] Time 0.340 (0.326) Data 0.001 (0.001) Loss 1.6094 (1.7584) Prec@1 60.938 (59.880) Prec@5 82.031 (81.445) Epoch: [59][7010/10010] Time 0.337 (0.326) Data 0.001 (0.001) Loss 1.7350 (1.7584) Prec@1 61.719 (59.878) Prec@5 85.156 (81.445) Epoch: [59][7020/10010] Time 0.330 (0.326) Data 0.001 (0.001) Loss 1.6404 (1.7584) Prec@1 62.500 (59.879) Prec@5 82.031 (81.446) Epoch: [59][7030/10010] Time 0.313 (0.326) Data 0.001 (0.001) Loss 1.9862 (1.7584) Prec@1 50.000 (59.877) Prec@5 78.906 (81.446) Epoch: [59][7040/10010] Time 0.337 (0.326) Data 0.001 (0.001) Loss 1.8014 (1.7584) Prec@1 55.469 (59.877) Prec@5 81.250 (81.445) Epoch: [59][7050/10010] Time 0.318 (0.326) Data 0.001 (0.001) Loss 1.9077 (1.7585) Prec@1 60.938 (59.877) Prec@5 78.125 (81.444) Epoch: [59][7060/10010] Time 0.324 (0.326) Data 0.001 (0.001) Loss 1.6671 (1.7586) Prec@1 57.031 (59.875) Prec@5 82.812 (81.443) Epoch: [59][7070/10010] Time 0.324 (0.326) Data 0.001 (0.001) Loss 1.7116 (1.7587) Prec@1 59.375 (59.871) Prec@5 83.594 (81.440) Epoch: [59][7080/10010] Time 0.321 (0.326) Data 0.000 (0.001) Loss 1.8828 (1.7587) Prec@1 56.250 (59.868) Prec@5 79.688 (81.440) Epoch: [59][7090/10010] Time 0.324 (0.326) Data 0.001 (0.001) Loss 1.8023 (1.7587) Prec@1 57.031 (59.867) Prec@5 81.250 (81.441) Epoch: [59][7100/10010] Time 0.324 (0.326) Data 0.001 (0.001) Loss 1.7682 (1.7588) Prec@1 60.156 (59.866) Prec@5 81.250 (81.439) Epoch: [59][7110/10010] Time 0.327 (0.326) Data 0.000 (0.001) Loss 1.8391 (1.7589) Prec@1 57.031 (59.864) Prec@5 82.031 (81.438) Epoch: [59][7120/10010] Time 0.316 (0.326) Data 0.001 (0.001) Loss 2.0877 (1.7590) Prec@1 55.469 (59.864) Prec@5 78.125 (81.438) Epoch: [59][7130/10010] Time 0.324 (0.326) Data 0.001 (0.001) Loss 1.7859 (1.7591) Prec@1 58.594 (59.865) Prec@5 81.250 (81.435) Epoch: [59][7140/10010] Time 0.318 (0.326) Data 0.001 (0.001) Loss 1.7235 (1.7591) Prec@1 65.625 (59.864) Prec@5 82.812 (81.435) Epoch: [59][7150/10010] Time 0.328 (0.326) Data 0.000 (0.001) Loss 1.9402 (1.7590) Prec@1 57.031 (59.867) Prec@5 81.250 (81.437) Epoch: [59][7160/10010] Time 0.327 (0.326) Data 0.001 (0.001) Loss 1.7623 (1.7590) Prec@1 56.250 (59.867) Prec@5 81.250 (81.437) Epoch: [59][7170/10010] Time 0.317 (0.326) Data 0.001 (0.001) Loss 1.5136 (1.7589) Prec@1 65.625 (59.870) Prec@5 83.594 (81.437) Epoch: [59][7180/10010] Time 0.340 (0.326) Data 0.001 (0.001) Loss 1.8313 (1.7589) Prec@1 59.375 (59.870) Prec@5 82.812 (81.439) Epoch: [59][7190/10010] Time 0.317 (0.326) Data 0.001 (0.001) Loss 1.9649 (1.7589) Prec@1 53.125 (59.871) Prec@5 80.469 (81.439) Epoch: [59][7200/10010] Time 0.328 (0.326) Data 0.001 (0.001) Loss 2.0400 (1.7590) Prec@1 56.250 (59.869) Prec@5 78.125 (81.438) Epoch: [59][7210/10010] Time 0.315 (0.326) Data 0.001 (0.001) Loss 1.8168 (1.7591) Prec@1 58.594 (59.867) Prec@5 80.469 (81.438) Epoch: [59][7220/10010] Time 0.333 (0.326) Data 0.001 (0.001) Loss 1.8207 (1.7591) Prec@1 54.688 (59.867) Prec@5 79.688 (81.437) Epoch: [59][7230/10010] Time 0.320 (0.326) Data 0.000 (0.001) Loss 1.8225 (1.7593) Prec@1 60.938 (59.861) Prec@5 78.906 (81.434) Epoch: [59][7240/10010] Time 0.339 (0.326) Data 0.001 (0.001) Loss 1.8780 (1.7593) Prec@1 59.375 (59.860) Prec@5 81.250 (81.433) Epoch: [59][7250/10010] Time 0.327 (0.326) Data 0.001 (0.001) Loss 1.6062 (1.7594) Prec@1 66.406 (59.860) Prec@5 82.812 (81.433) Epoch: [59][7260/10010] Time 0.341 (0.326) Data 0.001 (0.001) Loss 1.8327 (1.7593) Prec@1 62.500 (59.861) Prec@5 79.688 (81.434) Epoch: [59][7270/10010] Time 0.329 (0.326) Data 0.001 (0.001) Loss 1.9172 (1.7592) Prec@1 59.375 (59.865) Prec@5 80.469 (81.435) Epoch: [59][7280/10010] Time 0.338 (0.326) Data 0.001 (0.001) Loss 1.9071 (1.7591) Prec@1 57.812 (59.866) Prec@5 79.688 (81.438) Epoch: [59][7290/10010] Time 0.334 (0.326) Data 0.001 (0.001) Loss 1.8986 (1.7591) Prec@1 57.031 (59.866) Prec@5 77.344 (81.436) Epoch: [59][7300/10010] Time 0.341 (0.326) Data 0.001 (0.001) Loss 1.8579 (1.7590) Prec@1 60.156 (59.868) Prec@5 78.125 (81.436) Epoch: [59][7310/10010] Time 0.316 (0.326) Data 0.001 (0.001) Loss 1.7358 (1.7590) Prec@1 60.938 (59.868) Prec@5 78.125 (81.436) Epoch: [59][7320/10010] Time 0.337 (0.326) Data 0.000 (0.001) Loss 1.7960 (1.7590) Prec@1 58.594 (59.868) Prec@5 78.125 (81.436) Epoch: [59][7330/10010] Time 0.340 (0.326) Data 0.001 (0.001) Loss 1.6700 (1.7588) Prec@1 65.625 (59.871) Prec@5 83.594 (81.438) Epoch: [59][7340/10010] Time 0.334 (0.326) Data 0.000 (0.001) Loss 1.4889 (1.7588) Prec@1 64.062 (59.873) Prec@5 85.938 (81.439) Epoch: [59][7350/10010] Time 0.338 (0.326) Data 0.001 (0.001) Loss 1.9038 (1.7588) Prec@1 59.375 (59.874) Prec@5 78.125 (81.438) Epoch: [59][7360/10010] Time 0.340 (0.326) Data 0.001 (0.001) Loss 1.9848 (1.7589) Prec@1 52.344 (59.872) Prec@5 79.688 (81.437) Epoch: [59][7370/10010] Time 0.317 (0.326) Data 0.000 (0.001) Loss 1.8503 (1.7588) Prec@1 55.469 (59.874) Prec@5 80.469 (81.439) Epoch: [59][7380/10010] Time 0.334 (0.326) Data 0.001 (0.001) Loss 1.6228 (1.7588) Prec@1 62.500 (59.874) Prec@5 84.375 (81.439) Epoch: [59][7390/10010] Time 0.316 (0.326) Data 0.000 (0.001) Loss 1.5714 (1.7588) Prec@1 62.500 (59.874) Prec@5 85.156 (81.440) Epoch: [59][7400/10010] Time 0.323 (0.326) Data 0.001 (0.001) Loss 1.9885 (1.7590) Prec@1 53.125 (59.872) Prec@5 77.344 (81.437) Epoch: [59][7410/10010] Time 0.318 (0.326) Data 0.000 (0.001) Loss 1.5223 (1.7589) Prec@1 66.406 (59.872) Prec@5 85.156 (81.437) Epoch: [59][7420/10010] Time 0.330 (0.326) Data 0.001 (0.001) Loss 1.9101 (1.7589) Prec@1 53.906 (59.871) Prec@5 82.031 (81.436) Epoch: [59][7430/10010] Time 0.325 (0.326) Data 0.001 (0.001) Loss 1.6589 (1.7589) Prec@1 62.500 (59.871) Prec@5 82.812 (81.436) Epoch: [59][7440/10010] Time 0.342 (0.326) Data 0.001 (0.001) Loss 1.5698 (1.7591) Prec@1 66.406 (59.869) Prec@5 84.375 (81.435) Epoch: [59][7450/10010] Time 0.334 (0.326) Data 0.001 (0.001) Loss 1.5678 (1.7591) Prec@1 60.156 (59.868) Prec@5 85.938 (81.435) Epoch: [59][7460/10010] Time 0.337 (0.326) Data 0.001 (0.001) Loss 2.1100 (1.7592) Prec@1 56.250 (59.866) Prec@5 75.781 (81.434) Epoch: [59][7470/10010] Time 0.335 (0.326) Data 0.000 (0.001) Loss 1.8822 (1.7592) Prec@1 57.812 (59.865) Prec@5 79.688 (81.432) Epoch: [59][7480/10010] Time 0.315 (0.326) Data 0.001 (0.001) Loss 2.1246 (1.7592) Prec@1 56.250 (59.862) Prec@5 76.562 (81.431) Epoch: [59][7490/10010] Time 0.341 (0.326) Data 0.001 (0.001) Loss 1.6275 (1.7592) Prec@1 60.938 (59.862) Prec@5 82.812 (81.433) Epoch: [59][7500/10010] Time 0.323 (0.326) Data 0.001 (0.001) Loss 2.2997 (1.7593) Prec@1 51.562 (59.859) Prec@5 75.000 (81.430) Epoch: [59][7510/10010] Time 0.337 (0.326) Data 0.001 (0.001) Loss 1.6952 (1.7594) Prec@1 58.594 (59.858) Prec@5 83.594 (81.430) Epoch: [59][7520/10010] Time 0.333 (0.326) Data 0.000 (0.001) Loss 1.6329 (1.7593) Prec@1 66.406 (59.860) Prec@5 84.375 (81.429) Epoch: [59][7530/10010] Time 0.331 (0.326) Data 0.001 (0.001) Loss 2.2798 (1.7594) Prec@1 53.906 (59.858) Prec@5 76.562 (81.429) Epoch: [59][7540/10010] Time 0.334 (0.326) Data 0.000 (0.001) Loss 1.6910 (1.7593) Prec@1 60.938 (59.857) Prec@5 81.250 (81.429) Epoch: [59][7550/10010] Time 0.336 (0.326) Data 0.001 (0.001) Loss 1.6347 (1.7593) Prec@1 61.719 (59.857) Prec@5 85.156 (81.429) Epoch: [59][7560/10010] Time 0.328 (0.326) Data 0.001 (0.001) Loss 2.0981 (1.7593) Prec@1 56.250 (59.857) Prec@5 75.000 (81.428) Epoch: [59][7570/10010] Time 0.322 (0.326) Data 0.000 (0.001) Loss 1.9698 (1.7594) Prec@1 55.469 (59.855) Prec@5 80.469 (81.427) Epoch: [59][7580/10010] Time 0.322 (0.326) Data 0.001 (0.001) Loss 1.8441 (1.7595) Prec@1 60.156 (59.854) Prec@5 77.344 (81.426) Epoch: [59][7590/10010] Time 0.341 (0.326) Data 0.001 (0.001) Loss 1.9091 (1.7594) Prec@1 53.125 (59.854) Prec@5 82.812 (81.427) Epoch: [59][7600/10010] Time 0.319 (0.326) Data 0.001 (0.001) Loss 2.2622 (1.7596) Prec@1 51.562 (59.849) Prec@5 75.781 (81.426) Epoch: [59][7610/10010] Time 0.318 (0.326) Data 0.001 (0.001) Loss 1.6112 (1.7596) Prec@1 66.406 (59.850) Prec@5 82.812 (81.427) Epoch: [59][7620/10010] Time 0.327 (0.326) Data 0.000 (0.001) Loss 1.6739 (1.7596) Prec@1 59.375 (59.850) Prec@5 83.594 (81.428) Epoch: [59][7630/10010] Time 0.316 (0.326) Data 0.001 (0.001) Loss 1.7664 (1.7596) Prec@1 60.938 (59.849) Prec@5 82.812 (81.429) Epoch: [59][7640/10010] Time 0.330 (0.326) Data 0.001 (0.001) Loss 2.0281 (1.7596) Prec@1 57.812 (59.850) Prec@5 76.562 (81.428) Epoch: [59][7650/10010] Time 0.318 (0.326) Data 0.001 (0.001) Loss 1.7995 (1.7597) Prec@1 64.062 (59.849) Prec@5 81.250 (81.426) Epoch: [59][7660/10010] Time 0.326 (0.326) Data 0.001 (0.001) Loss 1.7003 (1.7597) Prec@1 57.812 (59.847) Prec@5 83.594 (81.427) Epoch: [59][7670/10010] Time 0.324 (0.326) Data 0.000 (0.001) Loss 1.6583 (1.7598) Prec@1 65.625 (59.847) Prec@5 81.250 (81.426) Epoch: [59][7680/10010] Time 0.311 (0.326) Data 0.001 (0.001) Loss 1.4914 (1.7598) Prec@1 64.844 (59.848) Prec@5 83.594 (81.425) Epoch: [59][7690/10010] Time 0.328 (0.326) Data 0.001 (0.001) Loss 1.6437 (1.7600) Prec@1 63.281 (59.847) Prec@5 82.812 (81.422) Epoch: [59][7700/10010] Time 0.316 (0.326) Data 0.001 (0.001) Loss 1.9339 (1.7602) Prec@1 53.125 (59.844) Prec@5 77.344 (81.418) Epoch: [59][7710/10010] Time 0.318 (0.326) Data 0.001 (0.001) Loss 1.8650 (1.7602) Prec@1 55.469 (59.845) Prec@5 83.594 (81.418) Epoch: [59][7720/10010] Time 0.314 (0.326) Data 0.000 (0.001) Loss 1.8128 (1.7602) Prec@1 62.500 (59.845) Prec@5 81.250 (81.417) Epoch: [59][7730/10010] Time 0.341 (0.326) Data 0.001 (0.001) Loss 1.8541 (1.7602) Prec@1 60.938 (59.845) Prec@5 81.250 (81.417) Epoch: [59][7740/10010] Time 0.330 (0.326) Data 0.001 (0.001) Loss 1.6868 (1.7603) Prec@1 65.625 (59.845) Prec@5 82.031 (81.416) Epoch: [59][7750/10010] Time 0.315 (0.326) Data 0.001 (0.001) Loss 2.0131 (1.7602) Prec@1 56.250 (59.848) Prec@5 78.125 (81.419) Epoch: [59][7760/10010] Time 0.318 (0.326) Data 0.001 (0.001) Loss 1.7958 (1.7602) Prec@1 60.156 (59.847) Prec@5 78.906 (81.417) Epoch: [59][7770/10010] Time 0.335 (0.326) Data 0.001 (0.001) Loss 2.5796 (1.7603) Prec@1 48.438 (59.846) Prec@5 67.969 (81.416) Epoch: [59][7780/10010] Time 0.313 (0.326) Data 0.001 (0.001) Loss 1.6476 (1.7603) Prec@1 61.719 (59.846) Prec@5 84.375 (81.415) Epoch: [59][7790/10010] Time 0.315 (0.326) Data 0.001 (0.001) Loss 1.6979 (1.7603) Prec@1 57.031 (59.846) Prec@5 82.812 (81.415) Epoch: [59][7800/10010] Time 0.314 (0.326) Data 0.001 (0.001) Loss 1.8716 (1.7603) Prec@1 58.594 (59.847) Prec@5 80.469 (81.415) Epoch: [59][7810/10010] Time 0.316 (0.326) Data 0.001 (0.001) Loss 1.9380 (1.7604) Prec@1 56.250 (59.845) Prec@5 75.781 (81.413) Epoch: [59][7820/10010] Time 0.336 (0.326) Data 0.001 (0.001) Loss 1.5422 (1.7604) Prec@1 63.281 (59.844) Prec@5 85.938 (81.413) Epoch: [59][7830/10010] Time 0.339 (0.326) Data 0.001 (0.001) Loss 1.7652 (1.7604) Prec@1 58.594 (59.842) Prec@5 82.812 (81.413) Epoch: [59][7840/10010] Time 0.328 (0.326) Data 0.001 (0.001) Loss 1.7208 (1.7603) Prec@1 61.719 (59.844) Prec@5 79.688 (81.412) Epoch: [59][7850/10010] Time 0.338 (0.326) Data 0.001 (0.001) Loss 1.5223 (1.7603) Prec@1 60.156 (59.845) Prec@5 83.594 (81.413) Epoch: [59][7860/10010] Time 0.338 (0.326) Data 0.000 (0.001) Loss 1.8272 (1.7604) Prec@1 59.375 (59.844) Prec@5 80.469 (81.412) Epoch: [59][7870/10010] Time 0.313 (0.326) Data 0.001 (0.001) Loss 2.1971 (1.7604) Prec@1 50.000 (59.841) Prec@5 75.781 (81.414) Epoch: [59][7880/10010] Time 0.314 (0.326) Data 0.001 (0.001) Loss 1.5829 (1.7603) Prec@1 64.062 (59.846) Prec@5 81.250 (81.416) Epoch: [59][7890/10010] Time 0.336 (0.326) Data 0.001 (0.001) Loss 1.6265 (1.7602) Prec@1 55.469 (59.846) Prec@5 85.938 (81.417) Epoch: [59][7900/10010] Time 0.333 (0.326) Data 0.000 (0.001) Loss 2.2157 (1.7602) Prec@1 53.906 (59.847) Prec@5 75.000 (81.418) Epoch: [59][7910/10010] Time 0.320 (0.326) Data 0.000 (0.001) Loss 1.9549 (1.7602) Prec@1 53.125 (59.847) Prec@5 78.906 (81.418) Epoch: [59][7920/10010] Time 0.320 (0.326) Data 0.001 (0.001) Loss 1.9066 (1.7603) Prec@1 61.719 (59.847) Prec@5 78.125 (81.418) Epoch: [59][7930/10010] Time 0.314 (0.326) Data 0.000 (0.001) Loss 1.8223 (1.7602) Prec@1 57.812 (59.848) Prec@5 78.125 (81.418) Epoch: [59][7940/10010] Time 0.317 (0.326) Data 0.000 (0.001) Loss 1.8695 (1.7603) Prec@1 53.125 (59.845) Prec@5 82.031 (81.416) Epoch: [59][7950/10010] Time 0.321 (0.326) Data 0.001 (0.001) Loss 1.3106 (1.7602) Prec@1 66.406 (59.845) Prec@5 89.062 (81.417) Epoch: [59][7960/10010] Time 0.336 (0.326) Data 0.001 (0.001) Loss 1.6864 (1.7603) Prec@1 58.594 (59.844) Prec@5 81.250 (81.416) Epoch: [59][7970/10010] Time 0.333 (0.326) Data 0.001 (0.001) Loss 1.6428 (1.7603) Prec@1 64.062 (59.843) Prec@5 82.812 (81.417) Epoch: [59][7980/10010] Time 0.324 (0.326) Data 0.000 (0.001) Loss 2.1937 (1.7603) Prec@1 49.219 (59.841) Prec@5 75.781 (81.416) Epoch: [59][7990/10010] Time 0.323 (0.326) Data 0.001 (0.001) Loss 1.8415 (1.7603) Prec@1 56.250 (59.841) Prec@5 78.906 (81.415) Epoch: [59][8000/10010] Time 0.335 (0.326) Data 0.000 (0.001) Loss 1.8113 (1.7603) Prec@1 60.156 (59.840) Prec@5 84.375 (81.417) Epoch: [59][8010/10010] Time 0.323 (0.326) Data 0.001 (0.001) Loss 1.6170 (1.7604) Prec@1 64.844 (59.841) Prec@5 80.469 (81.415) Epoch: [59][8020/10010] Time 0.321 (0.326) Data 0.001 (0.001) Loss 1.9978 (1.7604) Prec@1 57.031 (59.840) Prec@5 76.562 (81.415) Epoch: [59][8030/10010] Time 0.319 (0.326) Data 0.001 (0.001) Loss 1.5922 (1.7604) Prec@1 61.719 (59.838) Prec@5 85.156 (81.416) Epoch: [59][8040/10010] Time 0.312 (0.326) Data 0.005 (0.001) Loss 1.6523 (1.7604) Prec@1 64.844 (59.839) Prec@5 82.812 (81.416) Epoch: [59][8050/10010] Time 0.321 (0.326) Data 0.001 (0.001) Loss 1.9798 (1.7605) Prec@1 56.250 (59.838) Prec@5 78.906 (81.416) Epoch: [59][8060/10010] Time 0.340 (0.326) Data 0.000 (0.001) Loss 1.8798 (1.7604) Prec@1 62.500 (59.842) Prec@5 82.031 (81.418) Epoch: [59][8070/10010] Time 0.317 (0.326) Data 0.001 (0.001) Loss 1.9713 (1.7603) Prec@1 53.906 (59.843) Prec@5 77.344 (81.419) Epoch: [59][8080/10010] Time 0.338 (0.326) Data 0.001 (0.001) Loss 1.8854 (1.7603) Prec@1 57.031 (59.841) Prec@5 77.344 (81.419) Epoch: [59][8090/10010] Time 0.309 (0.326) Data 0.001 (0.001) Loss 1.6261 (1.7603) Prec@1 63.281 (59.843) Prec@5 82.812 (81.419) Epoch: [59][8100/10010] Time 0.320 (0.326) Data 0.001 (0.001) Loss 1.9337 (1.7604) Prec@1 57.031 (59.842) Prec@5 80.469 (81.419) Epoch: [59][8110/10010] Time 0.311 (0.326) Data 0.001 (0.001) Loss 1.8330 (1.7604) Prec@1 57.031 (59.842) Prec@5 82.812 (81.419) Epoch: [59][8120/10010] Time 0.316 (0.326) Data 0.000 (0.001) Loss 1.8863 (1.7606) Prec@1 57.812 (59.839) Prec@5 76.562 (81.415) Epoch: [59][8130/10010] Time 0.326 (0.326) Data 0.001 (0.001) Loss 1.7231 (1.7607) Prec@1 61.719 (59.839) Prec@5 82.031 (81.415) Epoch: [59][8140/10010] Time 0.329 (0.326) Data 0.000 (0.001) Loss 1.7288 (1.7606) Prec@1 60.938 (59.840) Prec@5 79.688 (81.417) Epoch: [59][8150/10010] Time 0.332 (0.326) Data 0.001 (0.001) Loss 1.5382 (1.7606) Prec@1 66.406 (59.841) Prec@5 85.156 (81.418) Epoch: [59][8160/10010] Time 0.339 (0.326) Data 0.001 (0.001) Loss 1.5881 (1.7607) Prec@1 64.844 (59.840) Prec@5 84.375 (81.416) Epoch: [59][8170/10010] Time 0.333 (0.326) Data 0.001 (0.001) Loss 1.8915 (1.7607) Prec@1 57.031 (59.838) Prec@5 76.562 (81.415) Epoch: [59][8180/10010] Time 0.321 (0.326) Data 0.000 (0.001) Loss 1.7756 (1.7606) Prec@1 55.469 (59.839) Prec@5 82.031 (81.416) Epoch: [59][8190/10010] Time 0.320 (0.326) Data 0.001 (0.001) Loss 1.5938 (1.7607) Prec@1 65.625 (59.837) Prec@5 82.812 (81.415) Epoch: [59][8200/10010] Time 0.323 (0.326) Data 0.001 (0.001) Loss 1.8227 (1.7608) Prec@1 55.469 (59.836) Prec@5 78.906 (81.415) Epoch: [59][8210/10010] Time 0.336 (0.326) Data 0.001 (0.001) Loss 1.4892 (1.7608) Prec@1 67.969 (59.836) Prec@5 83.594 (81.415) Epoch: [59][8220/10010] Time 0.314 (0.326) Data 0.000 (0.001) Loss 1.7133 (1.7607) Prec@1 64.844 (59.837) Prec@5 82.031 (81.417) Epoch: [59][8230/10010] Time 0.321 (0.326) Data 0.001 (0.001) Loss 1.7226 (1.7608) Prec@1 64.062 (59.835) Prec@5 81.250 (81.416) Epoch: [59][8240/10010] Time 0.336 (0.326) Data 0.001 (0.001) Loss 1.7413 (1.7608) Prec@1 60.938 (59.836) Prec@5 82.812 (81.417) Epoch: [59][8250/10010] Time 0.317 (0.326) Data 0.001 (0.001) Loss 1.9725 (1.7609) Prec@1 53.125 (59.836) Prec@5 75.781 (81.415) Epoch: [59][8260/10010] Time 0.338 (0.326) Data 0.001 (0.001) Loss 2.0250 (1.7609) Prec@1 49.219 (59.833) Prec@5 75.781 (81.415) Epoch: [59][8270/10010] Time 0.335 (0.326) Data 0.001 (0.001) Loss 1.9411 (1.7610) Prec@1 53.906 (59.832) Prec@5 78.906 (81.415) Epoch: [59][8280/10010] Time 0.333 (0.326) Data 0.001 (0.001) Loss 1.8010 (1.7610) Prec@1 60.938 (59.830) Prec@5 82.812 (81.415) Epoch: [59][8290/10010] Time 0.322 (0.326) Data 0.001 (0.001) Loss 1.5819 (1.7610) Prec@1 61.719 (59.831) Prec@5 85.938 (81.415) Epoch: [59][8300/10010] Time 0.317 (0.326) Data 0.001 (0.001) Loss 1.4621 (1.7610) Prec@1 64.062 (59.829) Prec@5 82.031 (81.414) Epoch: [59][8310/10010] Time 0.341 (0.326) Data 0.001 (0.001) Loss 1.9833 (1.7612) Prec@1 50.781 (59.826) Prec@5 76.562 (81.411) Epoch: [59][8320/10010] Time 0.315 (0.326) Data 0.001 (0.001) Loss 1.7721 (1.7612) Prec@1 61.719 (59.826) Prec@5 81.250 (81.410) Epoch: [59][8330/10010] Time 0.341 (0.326) Data 0.001 (0.001) Loss 1.7754 (1.7613) Prec@1 60.156 (59.826) Prec@5 80.469 (81.409) Epoch: [59][8340/10010] Time 0.319 (0.326) Data 0.001 (0.001) Loss 1.8151 (1.7613) Prec@1 59.375 (59.827) Prec@5 80.469 (81.409) Epoch: [59][8350/10010] Time 0.312 (0.326) Data 0.001 (0.001) Loss 1.4958 (1.7613) Prec@1 69.531 (59.828) Prec@5 83.594 (81.410) Epoch: [59][8360/10010] Time 0.329 (0.326) Data 0.001 (0.001) Loss 1.3164 (1.7611) Prec@1 68.750 (59.830) Prec@5 89.062 (81.412) Epoch: [59][8370/10010] Time 0.338 (0.326) Data 0.001 (0.001) Loss 1.3676 (1.7610) Prec@1 67.188 (59.832) Prec@5 88.281 (81.416) Epoch: [59][8380/10010] Time 0.337 (0.326) Data 0.001 (0.001) Loss 1.7850 (1.7611) Prec@1 61.719 (59.831) Prec@5 80.469 (81.413) Epoch: [59][8390/10010] Time 0.319 (0.326) Data 0.001 (0.001) Loss 1.7594 (1.7611) Prec@1 54.688 (59.829) Prec@5 76.562 (81.412) Epoch: [59][8400/10010] Time 0.330 (0.326) Data 0.001 (0.001) Loss 1.8541 (1.7612) Prec@1 59.375 (59.827) Prec@5 75.000 (81.411) Epoch: [59][8410/10010] Time 0.311 (0.326) Data 0.001 (0.001) Loss 1.7857 (1.7613) Prec@1 60.938 (59.825) Prec@5 82.812 (81.408) Epoch: [59][8420/10010] Time 0.320 (0.326) Data 0.000 (0.001) Loss 1.9478 (1.7614) Prec@1 49.219 (59.823) Prec@5 77.344 (81.406) Epoch: [59][8430/10010] Time 0.320 (0.326) Data 0.001 (0.001) Loss 1.4366 (1.7613) Prec@1 64.844 (59.822) Prec@5 90.625 (81.408) Epoch: [59][8440/10010] Time 0.327 (0.326) Data 0.001 (0.001) Loss 1.7334 (1.7612) Prec@1 60.156 (59.825) Prec@5 82.031 (81.410) Epoch: [59][8450/10010] Time 0.323 (0.326) Data 0.000 (0.001) Loss 1.6466 (1.7612) Prec@1 60.156 (59.825) Prec@5 85.156 (81.411) Epoch: [59][8460/10010] Time 0.313 (0.326) Data 0.001 (0.001) Loss 1.9156 (1.7612) Prec@1 57.031 (59.824) Prec@5 80.469 (81.411) Epoch: [59][8470/10010] Time 0.315 (0.326) Data 0.001 (0.001) Loss 1.3897 (1.7613) Prec@1 67.969 (59.824) Prec@5 86.719 (81.410) Epoch: [59][8480/10010] Time 0.319 (0.326) Data 0.001 (0.001) Loss 1.6796 (1.7613) Prec@1 60.156 (59.822) Prec@5 82.031 (81.411) Epoch: [59][8490/10010] Time 0.321 (0.326) Data 0.000 (0.001) Loss 1.7444 (1.7614) Prec@1 63.281 (59.822) Prec@5 80.469 (81.408) Epoch: [59][8500/10010] Time 0.318 (0.326) Data 0.000 (0.001) Loss 1.4998 (1.7613) Prec@1 64.844 (59.823) Prec@5 85.156 (81.408) Epoch: [59][8510/10010] Time 0.319 (0.326) Data 0.001 (0.001) Loss 1.5386 (1.7612) Prec@1 68.750 (59.826) Prec@5 83.594 (81.411) Epoch: [59][8520/10010] Time 0.338 (0.326) Data 0.002 (0.001) Loss 1.7769 (1.7611) Prec@1 57.031 (59.826) Prec@5 78.906 (81.411) Epoch: [59][8530/10010] Time 0.318 (0.326) Data 0.001 (0.001) Loss 1.5721 (1.7612) Prec@1 60.938 (59.826) Prec@5 89.844 (81.412) Epoch: [59][8540/10010] Time 0.332 (0.326) Data 0.001 (0.001) Loss 1.5968 (1.7612) Prec@1 62.500 (59.826) Prec@5 85.156 (81.412) Epoch: [59][8550/10010] Time 0.314 (0.326) Data 0.000 (0.001) Loss 1.6161 (1.7612) Prec@1 62.500 (59.826) Prec@5 82.812 (81.411) Epoch: [59][8560/10010] Time 0.336 (0.326) Data 0.000 (0.001) Loss 1.7311 (1.7611) Prec@1 62.500 (59.827) Prec@5 80.469 (81.411) Epoch: [59][8570/10010] Time 0.332 (0.326) Data 0.001 (0.001) Loss 1.3943 (1.7610) Prec@1 69.531 (59.831) Prec@5 84.375 (81.414) Epoch: [59][8580/10010] Time 0.312 (0.326) Data 0.000 (0.001) Loss 1.7784 (1.7611) Prec@1 60.156 (59.828) Prec@5 85.156 (81.413) Epoch: [59][8590/10010] Time 0.332 (0.326) Data 0.001 (0.001) Loss 1.9027 (1.7611) Prec@1 53.125 (59.828) Prec@5 79.688 (81.412) Epoch: [59][8600/10010] Time 0.333 (0.326) Data 0.001 (0.001) Loss 1.6015 (1.7612) Prec@1 62.500 (59.826) Prec@5 85.938 (81.409) Epoch: [59][8610/10010] Time 0.320 (0.326) Data 0.001 (0.001) Loss 1.9082 (1.7611) Prec@1 55.469 (59.828) Prec@5 77.344 (81.411) Epoch: [59][8620/10010] Time 0.317 (0.326) Data 0.001 (0.001) Loss 1.7786 (1.7611) Prec@1 61.719 (59.827) Prec@5 80.469 (81.410) Epoch: [59][8630/10010] Time 0.341 (0.326) Data 0.001 (0.001) Loss 2.0573 (1.7612) Prec@1 57.031 (59.825) Prec@5 76.562 (81.409) Epoch: [59][8640/10010] Time 0.333 (0.326) Data 0.001 (0.001) Loss 1.8682 (1.7613) Prec@1 60.938 (59.825) Prec@5 78.906 (81.408) Epoch: [59][8650/10010] Time 0.341 (0.326) Data 0.000 (0.001) Loss 1.4793 (1.7612) Prec@1 63.281 (59.826) Prec@5 85.938 (81.408) Epoch: [59][8660/10010] Time 0.331 (0.326) Data 0.001 (0.001) Loss 1.5843 (1.7612) Prec@1 63.281 (59.827) Prec@5 85.156 (81.409) Epoch: [59][8670/10010] Time 0.324 (0.326) Data 0.001 (0.001) Loss 1.7873 (1.7611) Prec@1 57.031 (59.830) Prec@5 83.594 (81.410) Epoch: [59][8680/10010] Time 0.334 (0.326) Data 0.001 (0.001) Loss 1.9969 (1.7612) Prec@1 54.688 (59.828) Prec@5 80.469 (81.410) Epoch: [59][8690/10010] Time 0.320 (0.326) Data 0.000 (0.001) Loss 2.3122 (1.7612) Prec@1 51.562 (59.828) Prec@5 75.000 (81.410) Epoch: [59][8700/10010] Time 0.328 (0.326) Data 0.001 (0.001) Loss 2.1783 (1.7613) Prec@1 42.188 (59.828) Prec@5 77.344 (81.409) Epoch: [59][8710/10010] Time 0.340 (0.326) Data 0.000 (0.001) Loss 1.4880 (1.7613) Prec@1 64.844 (59.830) Prec@5 84.375 (81.408) Epoch: [59][8720/10010] Time 0.338 (0.326) Data 0.001 (0.001) Loss 1.5737 (1.7612) Prec@1 63.281 (59.832) Prec@5 83.594 (81.408) Epoch: [59][8730/10010] Time 0.326 (0.326) Data 0.000 (0.001) Loss 1.5863 (1.7612) Prec@1 64.062 (59.832) Prec@5 86.719 (81.407) Epoch: [59][8740/10010] Time 0.324 (0.326) Data 0.000 (0.001) Loss 1.7512 (1.7612) Prec@1 54.688 (59.834) Prec@5 85.156 (81.409) Epoch: [59][8750/10010] Time 0.337 (0.326) Data 0.001 (0.001) Loss 1.8305 (1.7613) Prec@1 60.156 (59.832) Prec@5 82.812 (81.409) Epoch: [59][8760/10010] Time 0.319 (0.326) Data 0.001 (0.001) Loss 2.0011 (1.7613) Prec@1 57.031 (59.830) Prec@5 81.250 (81.408) Epoch: [59][8770/10010] Time 0.320 (0.326) Data 0.000 (0.001) Loss 1.8172 (1.7614) Prec@1 60.156 (59.828) Prec@5 82.031 (81.407) Epoch: [59][8780/10010] Time 0.311 (0.326) Data 0.001 (0.001) Loss 1.7842 (1.7615) Prec@1 61.719 (59.824) Prec@5 82.031 (81.406) Epoch: [59][8790/10010] Time 0.329 (0.326) Data 0.001 (0.001) Loss 2.1000 (1.7615) Prec@1 55.469 (59.825) Prec@5 77.344 (81.406) Epoch: [59][8800/10010] Time 0.330 (0.326) Data 0.001 (0.001) Loss 2.0643 (1.7616) Prec@1 51.562 (59.822) Prec@5 74.219 (81.403) Epoch: [59][8810/10010] Time 0.314 (0.326) Data 0.001 (0.001) Loss 1.6788 (1.7616) Prec@1 59.375 (59.824) Prec@5 85.156 (81.405) Epoch: [59][8820/10010] Time 0.340 (0.326) Data 0.001 (0.001) Loss 1.8674 (1.7616) Prec@1 53.125 (59.824) Prec@5 81.250 (81.405) Epoch: [59][8830/10010] Time 0.331 (0.326) Data 0.001 (0.001) Loss 2.1518 (1.7615) Prec@1 49.219 (59.824) Prec@5 75.000 (81.405) Epoch: [59][8840/10010] Time 0.330 (0.326) Data 0.001 (0.001) Loss 2.0191 (1.7616) Prec@1 57.031 (59.823) Prec@5 77.344 (81.404) Epoch: [59][8850/10010] Time 0.335 (0.326) Data 0.001 (0.001) Loss 1.9833 (1.7617) Prec@1 54.688 (59.820) Prec@5 78.125 (81.403) Epoch: [59][8860/10010] Time 0.310 (0.326) Data 0.001 (0.001) Loss 1.7433 (1.7616) Prec@1 64.062 (59.821) Prec@5 84.375 (81.403) Epoch: [59][8870/10010] Time 0.321 (0.326) Data 0.001 (0.001) Loss 1.7630 (1.7616) Prec@1 60.938 (59.822) Prec@5 82.812 (81.405) Epoch: [59][8880/10010] Time 0.337 (0.326) Data 0.000 (0.001) Loss 1.7561 (1.7615) Prec@1 55.469 (59.824) Prec@5 80.469 (81.405) Epoch: [59][8890/10010] Time 0.311 (0.326) Data 0.001 (0.001) Loss 1.7072 (1.7616) Prec@1 60.156 (59.823) Prec@5 82.812 (81.405) Epoch: [59][8900/10010] Time 0.324 (0.326) Data 0.001 (0.001) Loss 1.6619 (1.7615) Prec@1 65.625 (59.824) Prec@5 83.594 (81.407) Epoch: [59][8910/10010] Time 0.330 (0.326) Data 0.000 (0.001) Loss 2.0457 (1.7616) Prec@1 55.469 (59.823) Prec@5 76.562 (81.405) Epoch: [59][8920/10010] Time 0.329 (0.326) Data 0.001 (0.001) Loss 1.8297 (1.7616) Prec@1 60.938 (59.823) Prec@5 78.125 (81.405) Epoch: [59][8930/10010] Time 0.327 (0.326) Data 0.001 (0.001) Loss 1.3402 (1.7616) Prec@1 70.312 (59.823) Prec@5 86.719 (81.405) /data/vision/torralba/deepscene/lib/anaconda2/lib/python2.7/site-packages/PIL/TiffImagePlugin.py:692: UserWarning: Possibly corrupt EXIF data. Expecting to read 1835008 bytes but only got 0. Skipping tag 0 "Skipping tag %s" % (size, len(data), tag)) Epoch: [59][8940/10010] Time 0.341 (0.326) Data 0.000 (0.001) Loss 1.5743 (1.7616) Prec@1 63.281 (59.821) Prec@5 83.594 (81.405) Epoch: [59][8950/10010] Time 0.324 (0.326) Data 0.001 (0.001) Loss 1.9442 (1.7615) Prec@1 59.375 (59.822) Prec@5 78.906 (81.406) Epoch: [59][8960/10010] Time 0.339 (0.326) Data 0.001 (0.001) Loss 1.5727 (1.7615) Prec@1 59.375 (59.821) Prec@5 83.594 (81.405) Epoch: [59][8970/10010] Time 0.333 (0.326) Data 0.000 (0.001) Loss 1.5209 (1.7615) Prec@1 64.062 (59.819) Prec@5 87.500 (81.405) Epoch: [59][8980/10010] Time 0.312 (0.326) Data 0.001 (0.001) Loss 1.5982 (1.7616) Prec@1 64.844 (59.818) Prec@5 83.594 (81.404) Epoch: [59][8990/10010] Time 0.335 (0.326) Data 0.001 (0.001) Loss 1.6233 (1.7616) Prec@1 59.375 (59.817) Prec@5 83.594 (81.402) Epoch: [59][9000/10010] Time 0.326 (0.326) Data 0.001 (0.001) Loss 1.6608 (1.7617) Prec@1 57.812 (59.816) Prec@5 83.594 (81.401) Epoch: [59][9010/10010] Time 0.318 (0.326) Data 0.000 (0.001) Loss 2.2479 (1.7617) Prec@1 55.469 (59.816) Prec@5 76.562 (81.401) Epoch: [59][9020/10010] Time 0.331 (0.326) Data 0.001 (0.001) Loss 1.8081 (1.7619) Prec@1 60.156 (59.815) Prec@5 80.469 (81.398) Epoch: [59][9030/10010] Time 0.338 (0.326) Data 0.000 (0.001) Loss 1.6376 (1.7620) Prec@1 62.500 (59.815) Prec@5 81.250 (81.395) Epoch: [59][9040/10010] Time 0.324 (0.326) Data 0.000 (0.001) Loss 2.0731 (1.7620) Prec@1 50.781 (59.814) Prec@5 75.000 (81.394) Epoch: [59][9050/10010] Time 0.312 (0.326) Data 0.001 (0.001) Loss 2.0887 (1.7620) Prec@1 47.656 (59.813) Prec@5 78.125 (81.394) Epoch: [59][9060/10010] Time 0.338 (0.326) Data 0.000 (0.001) Loss 1.8321 (1.7619) Prec@1 58.594 (59.816) Prec@5 75.000 (81.394) Epoch: [59][9070/10010] Time 0.333 (0.326) Data 0.000 (0.001) Loss 2.0428 (1.7619) Prec@1 52.344 (59.815) Prec@5 80.469 (81.395) Epoch: [59][9080/10010] Time 0.318 (0.326) Data 0.001 (0.001) Loss 1.6190 (1.7620) Prec@1 62.500 (59.815) Prec@5 79.688 (81.393) Epoch: [59][9090/10010] Time 0.328 (0.326) Data 0.001 (0.001) Loss 1.7152 (1.7620) Prec@1 59.375 (59.815) Prec@5 82.812 (81.393) Epoch: [59][9100/10010] Time 0.319 (0.326) Data 0.001 (0.001) Loss 1.5419 (1.7620) Prec@1 60.156 (59.814) Prec@5 83.594 (81.392) Epoch: [59][9110/10010] Time 0.328 (0.326) Data 0.000 (0.001) Loss 2.1528 (1.7621) Prec@1 52.344 (59.813) Prec@5 69.531 (81.391) Epoch: [59][9120/10010] Time 0.335 (0.326) Data 0.001 (0.001) Loss 1.6760 (1.7621) Prec@1 59.375 (59.812) Prec@5 85.156 (81.391) Epoch: [59][9130/10010] Time 0.337 (0.326) Data 0.001 (0.001) Loss 1.7562 (1.7622) Prec@1 64.844 (59.812) Prec@5 83.594 (81.390) Epoch: [59][9140/10010] Time 0.323 (0.326) Data 0.001 (0.001) Loss 1.5203 (1.7622) Prec@1 63.281 (59.813) Prec@5 88.281 (81.390) Epoch: [59][9150/10010] Time 0.313 (0.326) Data 0.001 (0.001) Loss 1.5872 (1.7622) Prec@1 59.375 (59.811) Prec@5 84.375 (81.390) Epoch: [59][9160/10010] Time 0.338 (0.326) Data 0.000 (0.001) Loss 2.1881 (1.7623) Prec@1 53.125 (59.811) Prec@5 71.875 (81.388) Epoch: [59][9170/10010] Time 0.339 (0.326) Data 0.000 (0.001) Loss 1.8809 (1.7622) Prec@1 60.156 (59.812) Prec@5 78.906 (81.389) Epoch: [59][9180/10010] Time 0.324 (0.326) Data 0.001 (0.001) Loss 1.6326 (1.7622) Prec@1 61.719 (59.813) Prec@5 82.812 (81.390) Epoch: [59][9190/10010] Time 0.316 (0.326) Data 0.001 (0.001) Loss 1.4725 (1.7622) Prec@1 71.875 (59.813) Prec@5 84.375 (81.389) Epoch: [59][9200/10010] Time 0.338 (0.326) Data 0.001 (0.001) Loss 1.3569 (1.7622) Prec@1 69.531 (59.814) Prec@5 89.844 (81.389) Epoch: [59][9210/10010] Time 0.338 (0.326) Data 0.000 (0.001) Loss 1.9665 (1.7622) Prec@1 53.125 (59.812) Prec@5 78.125 (81.390) Epoch: [59][9220/10010] Time 0.319 (0.326) Data 0.000 (0.001) Loss 1.9349 (1.7622) Prec@1 54.688 (59.812) Prec@5 83.594 (81.391) Epoch: [59][9230/10010] Time 0.320 (0.326) Data 0.000 (0.001) Loss 1.6343 (1.7623) Prec@1 60.938 (59.808) Prec@5 85.938 (81.390) Epoch: [59][9240/10010] Time 0.321 (0.326) Data 0.001 (0.001) Loss 1.9763 (1.7624) Prec@1 57.031 (59.807) Prec@5 73.438 (81.388) Epoch: [59][9250/10010] Time 0.318 (0.326) Data 0.001 (0.001) Loss 1.6200 (1.7624) Prec@1 60.938 (59.807) Prec@5 87.500 (81.388) Epoch: [59][9260/10010] Time 0.325 (0.326) Data 0.001 (0.001) Loss 2.1743 (1.7625) Prec@1 47.656 (59.804) Prec@5 74.219 (81.387) Epoch: [59][9270/10010] Time 0.339 (0.326) Data 0.000 (0.001) Loss 1.8990 (1.7625) Prec@1 54.688 (59.805) Prec@5 79.688 (81.387) Epoch: [59][9280/10010] Time 0.315 (0.326) Data 0.001 (0.001) Loss 1.5407 (1.7625) Prec@1 63.281 (59.806) Prec@5 80.469 (81.387) Epoch: [59][9290/10010] Time 0.315 (0.326) Data 0.001 (0.001) Loss 1.7892 (1.7624) Prec@1 61.719 (59.807) Prec@5 83.594 (81.387) Epoch: [59][9300/10010] Time 0.337 (0.326) Data 0.001 (0.001) Loss 1.4430 (1.7625) Prec@1 67.969 (59.806) Prec@5 89.062 (81.387) Epoch: [59][9310/10010] Time 0.320 (0.326) Data 0.001 (0.001) Loss 1.9162 (1.7625) Prec@1 57.812 (59.804) Prec@5 81.250 (81.386) Epoch: [59][9320/10010] Time 0.334 (0.326) Data 0.001 (0.001) Loss 2.0056 (1.7626) Prec@1 54.688 (59.801) Prec@5 78.125 (81.385) Epoch: [59][9330/10010] Time 0.321 (0.326) Data 0.001 (0.001) Loss 1.7056 (1.7626) Prec@1 57.812 (59.799) Prec@5 82.812 (81.385) Epoch: [59][9340/10010] Time 0.325 (0.326) Data 0.001 (0.001) Loss 1.7235 (1.7627) Prec@1 60.938 (59.799) Prec@5 82.031 (81.385) Epoch: [59][9350/10010] Time 0.314 (0.326) Data 0.001 (0.001) Loss 1.7707 (1.7628) Prec@1 60.938 (59.797) Prec@5 78.906 (81.384) Epoch: [59][9360/10010] Time 0.343 (0.326) Data 0.000 (0.001) Loss 1.6431 (1.7628) Prec@1 64.844 (59.798) Prec@5 82.812 (81.384) Epoch: [59][9370/10010] Time 0.333 (0.326) Data 0.001 (0.001) Loss 1.8417 (1.7628) Prec@1 57.031 (59.797) Prec@5 80.469 (81.383) Epoch: [59][9380/10010] Time 0.339 (0.326) Data 0.000 (0.001) Loss 1.7012 (1.7627) Prec@1 58.594 (59.798) Prec@5 78.125 (81.385) Epoch: [59][9390/10010] Time 0.323 (0.326) Data 0.001 (0.001) Loss 1.7484 (1.7627) Prec@1 54.688 (59.797) Prec@5 78.906 (81.385) Epoch: [59][9400/10010] Time 0.334 (0.326) Data 0.001 (0.001) Loss 1.6191 (1.7627) Prec@1 53.906 (59.796) Prec@5 83.594 (81.386) Epoch: [59][9410/10010] Time 0.334 (0.326) Data 0.000 (0.001) Loss 2.1575 (1.7628) Prec@1 55.469 (59.793) Prec@5 78.125 (81.383) Epoch: [59][9420/10010] Time 0.339 (0.326) Data 0.001 (0.001) Loss 1.8375 (1.7628) Prec@1 58.594 (59.794) Prec@5 78.125 (81.384) Epoch: [59][9430/10010] Time 0.331 (0.326) Data 0.001 (0.001) Loss 2.0472 (1.7628) Prec@1 53.125 (59.794) Prec@5 78.125 (81.383) Epoch: [59][9440/10010] Time 0.342 (0.326) Data 0.001 (0.001) Loss 1.5545 (1.7629) Prec@1 64.844 (59.794) Prec@5 85.156 (81.382) Epoch: [59][9450/10010] Time 0.336 (0.326) Data 0.001 (0.001) Loss 1.9221 (1.7629) Prec@1 53.906 (59.793) Prec@5 78.906 (81.382) Epoch: [59][9460/10010] Time 0.327 (0.326) Data 0.000 (0.001) Loss 1.8369 (1.7628) Prec@1 53.125 (59.794) Prec@5 81.250 (81.383) Epoch: [59][9470/10010] Time 0.333 (0.326) Data 0.001 (0.001) Loss 1.8691 (1.7629) Prec@1 56.250 (59.792) Prec@5 82.812 (81.382) Epoch: [59][9480/10010] Time 0.332 (0.326) Data 0.001 (0.001) Loss 2.3420 (1.7630) Prec@1 46.094 (59.791) Prec@5 74.219 (81.380) Epoch: [59][9490/10010] Time 0.320 (0.326) Data 0.001 (0.001) Loss 1.8561 (1.7631) Prec@1 62.500 (59.791) Prec@5 78.125 (81.380) Epoch: [59][9500/10010] Time 0.321 (0.326) Data 0.000 (0.001) Loss 1.7527 (1.7630) Prec@1 63.281 (59.794) Prec@5 82.812 (81.382) Epoch: [59][9510/10010] Time 0.340 (0.326) Data 0.001 (0.001) Loss 1.8201 (1.7629) Prec@1 53.906 (59.794) Prec@5 82.812 (81.383) Epoch: [59][9520/10010] Time 0.338 (0.326) Data 0.001 (0.001) Loss 1.3239 (1.7629) Prec@1 71.094 (59.797) Prec@5 89.062 (81.383) Epoch: [59][9530/10010] Time 0.308 (0.326) Data 0.001 (0.001) Loss 2.1028 (1.7629) Prec@1 52.344 (59.795) Prec@5 77.344 (81.383) Epoch: [59][9540/10010] Time 0.328 (0.326) Data 0.001 (0.001) Loss 1.7560 (1.7630) Prec@1 56.250 (59.793) Prec@5 77.344 (81.381) Epoch: [59][9550/10010] Time 0.341 (0.326) Data 0.001 (0.001) Loss 1.9218 (1.7631) Prec@1 55.469 (59.791) Prec@5 77.344 (81.379) Epoch: [59][9560/10010] Time 0.321 (0.326) Data 0.001 (0.001) Loss 1.7206 (1.7631) Prec@1 61.719 (59.793) Prec@5 82.812 (81.380) Epoch: [59][9570/10010] Time 0.334 (0.326) Data 0.001 (0.001) Loss 1.8132 (1.7630) Prec@1 51.562 (59.795) Prec@5 78.125 (81.381) Epoch: [59][9580/10010] Time 0.311 (0.326) Data 0.001 (0.001) Loss 1.6224 (1.7629) Prec@1 59.375 (59.794) Prec@5 79.688 (81.382) Epoch: [59][9590/10010] Time 0.334 (0.326) Data 0.001 (0.001) Loss 1.9155 (1.7629) Prec@1 50.000 (59.794) Prec@5 81.250 (81.383) Epoch: [59][9600/10010] Time 0.322 (0.326) Data 0.001 (0.001) Loss 1.6814 (1.7629) Prec@1 59.375 (59.794) Prec@5 81.250 (81.384) Epoch: [59][9610/10010] Time 0.338 (0.326) Data 0.001 (0.001) Loss 1.6581 (1.7629) Prec@1 61.719 (59.794) Prec@5 81.250 (81.384) Epoch: [59][9620/10010] Time 0.323 (0.326) Data 0.001 (0.001) Loss 1.7640 (1.7629) Prec@1 57.812 (59.794) Prec@5 79.688 (81.384) Epoch: [59][9630/10010] Time 0.328 (0.326) Data 0.001 (0.001) Loss 1.6016 (1.7629) Prec@1 62.500 (59.796) Prec@5 85.156 (81.385) Epoch: [59][9640/10010] Time 0.334 (0.326) Data 0.001 (0.001) Loss 1.6962 (1.7630) Prec@1 63.281 (59.796) Prec@5 82.812 (81.385) Epoch: [59][9650/10010] Time 0.321 (0.326) Data 0.000 (0.001) Loss 1.9011 (1.7630) Prec@1 62.500 (59.796) Prec@5 78.125 (81.385) Epoch: [59][9660/10010] Time 0.342 (0.326) Data 0.001 (0.001) Loss 1.6522 (1.7630) Prec@1 64.062 (59.796) Prec@5 82.031 (81.385) Epoch: [59][9670/10010] Time 0.334 (0.326) Data 0.001 (0.001) Loss 1.4872 (1.7630) Prec@1 67.188 (59.797) Prec@5 83.594 (81.385) Epoch: [59][9680/10010] Time 0.315 (0.326) Data 0.001 (0.001) Loss 1.6860 (1.7630) Prec@1 60.156 (59.795) Prec@5 81.250 (81.384) Epoch: [59][9690/10010] Time 0.320 (0.326) Data 0.000 (0.001) Loss 1.5217 (1.7630) Prec@1 64.062 (59.795) Prec@5 82.812 (81.384) Epoch: [59][9700/10010] Time 0.335 (0.326) Data 0.000 (0.001) Loss 1.7443 (1.7630) Prec@1 54.688 (59.795) Prec@5 79.688 (81.385) Epoch: [59][9710/10010] Time 0.318 (0.326) Data 0.001 (0.001) Loss 1.9299 (1.7630) Prec@1 60.938 (59.795) Prec@5 80.469 (81.383) Epoch: [59][9720/10010] Time 0.324 (0.326) Data 0.000 (0.001) Loss 1.5991 (1.7630) Prec@1 62.500 (59.796) Prec@5 82.812 (81.384) Epoch: [59][9730/10010] Time 0.331 (0.326) Data 0.001 (0.001) Loss 1.8408 (1.7629) Prec@1 57.031 (59.796) Prec@5 78.906 (81.385) Epoch: [59][9740/10010] Time 0.323 (0.326) Data 0.001 (0.001) Loss 1.6698 (1.7630) Prec@1 62.500 (59.796) Prec@5 81.250 (81.384) Epoch: [59][9750/10010] Time 0.322 (0.326) Data 0.001 (0.001) Loss 1.9937 (1.7630) Prec@1 55.469 (59.795) Prec@5 77.344 (81.383) Epoch: [59][9760/10010] Time 0.338 (0.326) Data 0.001 (0.001) Loss 1.7278 (1.7630) Prec@1 55.469 (59.794) Prec@5 82.812 (81.383) Epoch: [59][9770/10010] Time 0.320 (0.326) Data 0.001 (0.001) Loss 2.3981 (1.7631) Prec@1 51.562 (59.794) Prec@5 75.781 (81.382) Epoch: [59][9780/10010] Time 0.326 (0.326) Data 0.001 (0.001) Loss 1.9910 (1.7631) Prec@1 57.812 (59.793) Prec@5 75.000 (81.381) Epoch: [59][9790/10010] Time 0.331 (0.326) Data 0.001 (0.001) Loss 1.8015 (1.7630) Prec@1 62.500 (59.794) Prec@5 81.250 (81.382) Epoch: [59][9800/10010] Time 0.339 (0.326) Data 0.001 (0.001) Loss 1.5339 (1.7630) Prec@1 60.938 (59.795) Prec@5 85.156 (81.382) Epoch: [59][9810/10010] Time 0.335 (0.326) Data 0.001 (0.001) Loss 2.0906 (1.7630) Prec@1 56.250 (59.794) Prec@5 77.344 (81.382) Epoch: [59][9820/10010] Time 0.333 (0.326) Data 0.001 (0.001) Loss 1.8112 (1.7630) Prec@1 64.062 (59.794) Prec@5 80.469 (81.382) Epoch: [59][9830/10010] Time 0.315 (0.326) Data 0.001 (0.001) Loss 1.6530 (1.7632) Prec@1 61.719 (59.793) Prec@5 82.031 (81.380) Epoch: [59][9840/10010] Time 0.339 (0.326) Data 0.000 (0.001) Loss 1.8096 (1.7633) Prec@1 57.031 (59.791) Prec@5 79.688 (81.378) Epoch: [59][9850/10010] Time 0.337 (0.326) Data 0.001 (0.001) Loss 1.9895 (1.7632) Prec@1 54.688 (59.791) Prec@5 78.906 (81.378) Epoch: [59][9860/10010] Time 0.320 (0.326) Data 0.001 (0.001) Loss 1.8581 (1.7632) Prec@1 59.375 (59.792) Prec@5 78.906 (81.378) Epoch: [59][9870/10010] Time 0.336 (0.326) Data 0.001 (0.001) Loss 1.7689 (1.7633) Prec@1 55.469 (59.791) Prec@5 82.031 (81.377) Epoch: [59][9880/10010] Time 0.328 (0.326) Data 0.001 (0.001) Loss 1.7071 (1.7632) Prec@1 64.844 (59.793) Prec@5 80.469 (81.377) Epoch: [59][9890/10010] Time 0.318 (0.326) Data 0.001 (0.001) Loss 1.6207 (1.7632) Prec@1 57.031 (59.794) Prec@5 84.375 (81.377) Epoch: [59][9900/10010] Time 0.331 (0.326) Data 0.001 (0.001) Loss 1.4477 (1.7631) Prec@1 61.719 (59.796) Prec@5 88.281 (81.380) Epoch: [59][9910/10010] Time 0.314 (0.326) Data 0.001 (0.001) Loss 1.6226 (1.7630) Prec@1 62.500 (59.798) Prec@5 83.594 (81.381) Epoch: [59][9920/10010] Time 0.323 (0.326) Data 0.001 (0.001) Loss 1.8513 (1.7629) Prec@1 60.156 (59.798) Prec@5 78.125 (81.382) Epoch: [59][9930/10010] Time 0.322 (0.326) Data 0.001 (0.001) Loss 1.8226 (1.7630) Prec@1 55.469 (59.797) Prec@5 80.469 (81.381) Epoch: [59][9940/10010] Time 0.336 (0.326) Data 0.001 (0.001) Loss 2.2201 (1.7631) Prec@1 49.219 (59.794) Prec@5 71.875 (81.378) Epoch: [59][9950/10010] Time 0.318 (0.326) Data 0.001 (0.001) Loss 1.7254 (1.7632) Prec@1 60.938 (59.794) Prec@5 85.156 (81.379) Epoch: [59][9960/10010] Time 0.316 (0.326) Data 0.001 (0.001) Loss 1.8526 (1.7632) Prec@1 56.250 (59.794) Prec@5 82.812 (81.379) Epoch: [59][9970/10010] Time 0.326 (0.326) Data 0.000 (0.001) Loss 2.1236 (1.7633) Prec@1 57.812 (59.792) Prec@5 77.344 (81.377) Epoch: [59][9980/10010] Time 0.315 (0.326) Data 0.001 (0.001) Loss 2.0951 (1.7634) Prec@1 53.125 (59.789) Prec@5 74.219 (81.376) Epoch: [59][9990/10010] Time 0.322 (0.326) Data 0.000 (0.001) Loss 1.9357 (1.7635) Prec@1 55.469 (59.789) Prec@5 79.688 (81.375) Epoch: [59][10000/10010] Time 0.317 (0.326) Data 0.000 (0.001) Loss 1.9074 (1.7635) Prec@1 58.594 (59.787) Prec@5 81.250 (81.375) Test: [0/391] Time 1.378 (1.378) Loss 0.9147 (0.9147) Prec@1 82.031 (82.031) Prec@5 91.406 (91.406) Test: [10/391] Time 0.154 (0.227) Loss 1.4880 (0.8274) Prec@1 66.406 (79.972) Prec@5 89.062 (93.040) Test: [20/391] Time 0.113 (0.176) Loss 0.9938 (1.1392) Prec@1 75.781 (72.061) Prec@5 92.188 (89.807) Test: [30/391] Time 0.111 (0.155) Loss 1.9781 (1.2661) Prec@1 64.062 (68.926) Prec@5 82.031 (88.911) Test: [40/391] Time 0.102 (0.143) Loss 1.2384 (1.1447) Prec@1 72.656 (71.513) Prec@5 87.500 (89.958) Test: [50/391] Time 0.106 (0.136) Loss 0.7246 (1.1666) Prec@1 79.688 (71.354) Prec@5 94.531 (89.614) Test: [60/391] Time 0.112 (0.131) Loss 1.2001 (1.0999) Prec@1 69.531 (72.976) Prec@5 92.188 (90.330) Test: [70/391] Time 0.108 (0.128) Loss 1.3309 (1.1451) Prec@1 57.812 (71.380) Prec@5 92.969 (90.119) Test: [80/391] Time 0.115 (0.126) Loss 1.0825 (1.1750) Prec@1 73.438 (70.341) Prec@5 90.625 (89.998) Test: [90/391] Time 0.106 (0.124) Loss 1.2056 (1.1697) Prec@1 59.375 (70.338) Prec@5 93.750 (90.204) Test: [100/391] Time 0.108 (0.122) Loss 1.0596 (1.1633) Prec@1 69.531 (70.050) Prec@5 95.312 (90.439) Test: [110/391] Time 0.104 (0.121) Loss 1.7346 (1.1635) Prec@1 48.438 (69.742) Prec@5 89.844 (90.667) Test: [120/391] Time 0.107 (0.120) Loss 0.9264 (1.1547) Prec@1 74.219 (70.074) Prec@5 93.750 (90.832) Test: [130/391] Time 0.101 (0.119) Loss 0.6164 (1.1508) Prec@1 89.062 (70.384) Prec@5 94.531 (90.822) Test: [140/391] Time 0.102 (0.118) Loss 1.4014 (1.1455) Prec@1 54.688 (70.396) Prec@5 89.844 (90.896) Test: [150/391] Time 0.103 (0.117) Loss 0.9548 (1.1477) Prec@1 66.406 (70.431) Prec@5 95.312 (90.837) Test: [160/391] Time 0.103 (0.116) Loss 1.1972 (1.1592) Prec@1 63.281 (70.186) Prec@5 90.625 (90.717) Test: [170/391] Time 0.102 (0.115) Loss 1.6361 (1.1933) Prec@1 60.156 (69.559) Prec@5 85.156 (90.241) Test: [180/391] Time 0.102 (0.115) Loss 2.0709 (1.2280) Prec@1 58.594 (68.961) Prec@5 85.156 (89.839) Test: [190/391] Time 0.103 (0.114) Loss 2.2378 (1.2662) Prec@1 47.656 (68.296) Prec@5 80.469 (89.287) Test: [200/391] Time 0.107 (0.114) Loss 1.7721 (1.3003) Prec@1 53.906 (67.642) Prec@5 80.469 (88.794) Test: [210/391] Time 0.101 (0.114) Loss 1.6613 (1.3212) Prec@1 63.281 (67.206) Prec@5 83.594 (88.515) Test: [220/391] Time 0.110 (0.113) Loss 0.7965 (1.3327) Prec@1 78.906 (67.004) Prec@5 94.531 (88.288) Test: [230/391] Time 0.104 (0.113) Loss 2.2601 (1.3491) Prec@1 50.000 (66.717) Prec@5 78.125 (88.082) Test: [240/391] Time 0.104 (0.113) Loss 1.6187 (1.3603) Prec@1 67.188 (66.572) Prec@5 83.594 (87.876) Test: [250/391] Time 0.104 (0.112) Loss 1.1209 (1.3887) Prec@1 77.344 (65.992) Prec@5 87.500 (87.509) Test: [260/391] Time 0.105 (0.112) Loss 1.7772 (1.4057) Prec@1 59.375 (65.604) Prec@5 82.031 (87.338) Test: [270/391] Time 0.104 (0.112) Loss 2.1037 (1.4155) Prec@1 48.438 (65.311) Prec@5 79.688 (87.200) Test: [280/391] Time 0.102 (0.112) Loss 1.6548 (1.4252) Prec@1 58.594 (65.200) Prec@5 83.594 (87.108) Test: [290/391] Time 0.105 (0.112) Loss 2.1075 (1.4379) Prec@1 45.312 (64.973) Prec@5 79.688 (86.853) Test: [300/391] Time 0.159 (0.112) Loss 1.3940 (1.4470) Prec@1 75.000 (64.854) Prec@5 86.719 (86.703) Test: [310/391] Time 0.103 (0.111) Loss 1.8795 (1.4604) Prec@1 59.375 (64.610) Prec@5 78.125 (86.473) Test: [320/391] Time 0.110 (0.111) Loss 0.9996 (1.4655) Prec@1 80.469 (64.571) Prec@5 91.406 (86.397) Test: [330/391] Time 0.102 (0.111) Loss 2.0312 (1.4858) Prec@1 57.031 (64.199) Prec@5 81.250 (86.138) Test: [340/391] Time 0.100 (0.111) Loss 1.4254 (1.4907) Prec@1 59.375 (64.049) Prec@5 92.969 (86.066) Test: [350/391] Time 0.100 (0.111) Loss 1.7477 (1.4956) Prec@1 57.812 (63.947) Prec@5 84.375 (85.969) Test: [360/391] Time 0.099 (0.111) Loss 1.6136 (1.5082) Prec@1 56.250 (63.718) Prec@5 89.844 (85.834) Test: [370/391] Time 0.114 (0.110) Loss 1.6370 (1.5045) Prec@1 59.375 (63.795) Prec@5 93.750 (85.925) Test: [380/391] Time 0.106 (0.110) Loss 1.1383 (1.5073) Prec@1 74.219 (63.747) Prec@5 92.188 (85.878) Test: [390/391] Time 0.068 (0.110) Loss 2.0612 (1.4964) Prec@1 53.750 (63.998) Prec@5 78.750 (86.026) * Prec@1 63.998 Prec@5 86.026 Epoch: [60][0/10010] Time 2.577 (2.577) Data 2.391 (2.391) Loss 2.2337 (2.2337) Prec@1 50.781 (50.781) Prec@5 75.781 (75.781) Epoch: [60][10/10010] Time 0.315 (0.522) Data 0.000 (0.222) Loss 2.2657 (1.8412) Prec@1 53.125 (59.517) Prec@5 75.781 (80.540) Epoch: [60][20/10010] Time 0.319 (0.424) Data 0.000 (0.117) Loss 1.9762 (1.7918) Prec@1 56.250 (59.896) Prec@5 77.344 (80.543) Epoch: [60][30/10010] Time 0.314 (0.389) Data 0.001 (0.079) Loss 1.3445 (1.7313) Prec@1 68.750 (60.534) Prec@5 89.062 (81.956) Epoch: [60][40/10010] Time 0.316 (0.371) Data 0.001 (0.060) Loss 1.9128 (1.7370) Prec@1 55.469 (60.556) Prec@5 81.250 (81.764) Epoch: [60][50/10010] Time 0.320 (0.360) Data 0.000 (0.048) Loss 1.9555 (1.7421) Prec@1 55.469 (60.325) Prec@5 73.438 (81.710) Epoch: [60][60/10010] Time 0.339 (0.354) Data 0.000 (0.041) Loss 1.9870 (1.7338) Prec@1 57.812 (60.681) Prec@5 79.688 (81.660) Epoch: [60][70/10010] Time 0.318 (0.350) Data 0.001 (0.035) Loss 1.6308 (1.7334) Prec@1 64.844 (60.585) Prec@5 84.375 (81.822) Epoch: [60][80/10010] Time 0.337 (0.347) Data 0.000 (0.031) Loss 1.7107 (1.7286) Prec@1 57.812 (60.793) Prec@5 82.812 (81.906) Epoch: [60][90/10010] Time 0.329 (0.346) Data 0.001 (0.027) Loss 1.4779 (1.7184) Prec@1 64.062 (61.041) Prec@5 85.156 (81.937) Epoch: [60][100/10010] Time 0.330 (0.343) Data 0.001 (0.025) Loss 1.5223 (1.7015) Prec@1 69.531 (61.471) Prec@5 85.156 (82.225) Epoch: [60][110/10010] Time 0.331 (0.343) Data 0.000 (0.023) Loss 1.5437 (1.6970) Prec@1 61.719 (61.494) Prec@5 83.594 (82.228) Epoch: [60][120/10010] Time 0.333 (0.341) Data 0.001 (0.021) Loss 1.3593 (1.6938) Prec@1 67.969 (61.654) Prec@5 89.844 (82.302) Epoch: [60][130/10010] Time 0.337 (0.340) Data 0.000 (0.019) Loss 1.5875 (1.6984) Prec@1 68.750 (61.695) Prec@5 82.031 (82.234) Epoch: [60][140/10010] Time 0.323 (0.339) Data 0.001 (0.018) Loss 1.8578 (1.6979) Prec@1 57.812 (61.647) Prec@5 80.469 (82.253) Epoch: [60][150/10010] Time 0.335 (0.338) Data 0.000 (0.017) Loss 1.7505 (1.6978) Prec@1 61.719 (61.605) Prec@5 79.688 (82.218) Epoch: [60][160/10010] Time 0.317 (0.337) Data 0.001 (0.016) Loss 1.8895 (1.7025) Prec@1 58.594 (61.428) Prec@5 79.688 (82.138) Epoch: [60][170/10010] Time 0.316 (0.336) Data 0.000 (0.015) Loss 1.8008 (1.6991) Prec@1 60.156 (61.522) Prec@5 84.375 (82.168) Epoch: [60][180/10010] Time 0.334 (0.336) Data 0.000 (0.014) Loss 1.3271 (1.6899) Prec@1 74.219 (61.701) Prec@5 88.281 (82.368) Epoch: [60][190/10010] Time 0.327 (0.335) Data 0.001 (0.013) Loss 1.5242 (1.6865) Prec@1 64.062 (61.784) Prec@5 84.375 (82.399) Epoch: [60][200/10010] Time 0.323 (0.335) Data 0.000 (0.013) Loss 1.4841 (1.6866) Prec@1 61.719 (61.719) Prec@5 83.594 (82.400) Epoch: [60][210/10010] Time 0.321 (0.335) Data 0.001 (0.012) Loss 1.5066 (1.6842) Prec@1 67.188 (61.774) Prec@5 83.594 (82.402) Epoch: [60][220/10010] Time 0.333 (0.334) Data 0.002 (0.012) Loss 1.5928 (1.6829) Prec@1 64.062 (61.786) Prec@5 87.500 (82.424) Epoch: [60][230/10010] Time 0.335 (0.334) Data 0.001 (0.011) Loss 1.5003 (1.6773) Prec@1 60.156 (61.861) Prec@5 83.594 (82.501) Epoch: [60][240/10010] Time 0.329 (0.334) Data 0.000 (0.011) Loss 1.7048 (1.6777) Prec@1 58.594 (61.797) Prec@5 86.719 (82.472) Epoch: [60][250/10010] Time 0.328 (0.334) Data 0.001 (0.010) Loss 1.7218 (1.6765) Prec@1 64.062 (61.853) Prec@5 81.250 (82.532) Epoch: [60][260/10010] Time 0.329 (0.333) Data 0.000 (0.010) Loss 2.0151 (1.6771) Prec@1 54.688 (61.853) Prec@5 78.125 (82.540) Epoch: [60][270/10010] Time 0.318 (0.333) Data 0.000 (0.010) Loss 1.5078 (1.6742) Prec@1 67.188 (61.929) Prec@5 85.156 (82.593) Epoch: [60][280/10010] Time 0.311 (0.332) Data 0.000 (0.009) Loss 1.4687 (1.6721) Prec@1 66.406 (61.955) Prec@5 85.938 (82.632) Epoch: [60][290/10010] Time 0.337 (0.332) Data 0.001 (0.009) Loss 1.3933 (1.6714) Prec@1 65.625 (61.963) Prec@5 86.719 (82.633) Epoch: [60][300/10010] Time 0.319 (0.332) Data 0.000 (0.009) Loss 1.5186 (1.6677) Prec@1 67.188 (62.041) Prec@5 83.594 (82.683) Epoch: [60][310/10010] Time 0.317 (0.332) Data 0.001 (0.008) Loss 1.8106 (1.6696) Prec@1 57.031 (62.005) Prec@5 78.125 (82.634) Epoch: [60][320/10010] Time 0.336 (0.331) Data 0.000 (0.008) Loss 1.5922 (1.6687) Prec@1 63.281 (62.077) Prec@5 85.156 (82.637) Epoch: [60][330/10010] Time 0.331 (0.331) Data 0.001 (0.008) Loss 1.6798 (1.6672) Prec@1 61.719 (62.082) Prec@5 79.688 (82.652) Epoch: [60][340/10010] Time 0.339 (0.331) Data 0.001 (0.008) Loss 1.6693 (1.6670) Prec@1 64.844 (62.062) Prec@5 81.250 (82.670) Epoch: [60][350/10010] Time 0.318 (0.331) Data 0.001 (0.008) Loss 1.6467 (1.6649) Prec@1 65.625 (62.110) Prec@5 82.812 (82.692) Epoch: [60][360/10010] Time 0.321 (0.331) Data 0.001 (0.007) Loss 1.4737 (1.6636) Prec@1 66.406 (62.130) Prec@5 85.156 (82.687) Epoch: [60][370/10010] Time 0.337 (0.331) Data 0.000 (0.007) Loss 1.5228 (1.6620) Prec@1 63.281 (62.155) Prec@5 82.031 (82.690) Epoch: [60][380/10010] Time 0.328 (0.331) Data 0.000 (0.007) Loss 1.4564 (1.6602) Prec@1 66.406 (62.201) Prec@5 83.594 (82.710) Epoch: [60][390/10010] Time 0.316 (0.331) Data 0.000 (0.007) Loss 1.6113 (1.6569) Prec@1 60.938 (62.248) Prec@5 83.594 (82.739) Epoch: [60][400/10010] Time 0.338 (0.331) Data 0.000 (0.007) Loss 1.3128 (1.6512) Prec@1 69.531 (62.379) Prec@5 86.719 (82.820) Epoch: [60][410/10010] Time 0.316 (0.330) Data 0.000 (0.007) Loss 1.5859 (1.6504) Prec@1 61.719 (62.378) Prec@5 85.938 (82.852) Epoch: [60][420/10010] Time 0.335 (0.330) Data 0.001 (0.006) Loss 1.7929 (1.6509) Prec@1 57.812 (62.374) Prec@5 79.688 (82.835) Epoch: [60][430/10010] Time 0.323 (0.330) Data 0.001 (0.006) Loss 1.8616 (1.6500) Prec@1 57.031 (62.400) Prec@5 81.250 (82.863) Epoch: [60][440/10010] Time 0.309 (0.330) Data 0.001 (0.006) Loss 1.6922 (1.6469) Prec@1 62.500 (62.509) Prec@5 82.031 (82.887) Epoch: [60][450/10010] Time 0.336 (0.330) Data 0.001 (0.006) Loss 1.7391 (1.6447) Prec@1 60.938 (62.552) Prec@5 84.375 (82.941) Epoch: [60][460/10010] Time 0.317 (0.330) Data 0.001 (0.006) Loss 1.9765 (1.6460) Prec@1 52.344 (62.531) Prec@5 78.125 (82.929) Epoch: [60][470/10010] Time 0.329 (0.330) Data 0.001 (0.006) Loss 1.5248 (1.6439) Prec@1 66.406 (62.545) Prec@5 85.156 (82.960) Epoch: [60][480/10010] Time 0.338 (0.330) Data 0.001 (0.006) Loss 1.6366 (1.6434) Prec@1 59.375 (62.537) Prec@5 83.594 (82.968) Epoch: [60][490/10010] Time 0.331 (0.330) Data 0.000 (0.006) Loss 1.6748 (1.6443) Prec@1 64.844 (62.546) Prec@5 82.812 (82.948) Epoch: [60][500/10010] Time 0.315 (0.330) Data 0.001 (0.005) Loss 1.6448 (1.6443) Prec@1 60.938 (62.530) Prec@5 82.812 (82.945) Epoch: [60][510/10010] Time 0.338 (0.330) Data 0.000 (0.005) Loss 1.6337 (1.6425) Prec@1 60.938 (62.541) Prec@5 83.594 (82.968) Epoch: [60][520/10010] Time 0.324 (0.329) Data 0.001 (0.005) Loss 1.6586 (1.6404) Prec@1 64.844 (62.585) Prec@5 82.812 (82.986) Epoch: [60][530/10010] Time 0.320 (0.329) Data 0.000 (0.005) Loss 1.8974 (1.6409) Prec@1 56.250 (62.574) Prec@5 81.250 (82.995) Epoch: [60][540/10010] Time 0.325 (0.329) Data 0.001 (0.005) Loss 1.7004 (1.6402) Prec@1 58.594 (62.590) Prec@5 84.375 (83.003) Epoch: [60][550/10010] Time 0.320 (0.329) Data 0.000 (0.005) Loss 1.7646 (1.6395) Prec@1 61.719 (62.604) Prec@5 78.125 (83.017) Epoch: [60][560/10010] Time 0.316 (0.329) Data 0.000 (0.005) Loss 1.5696 (1.6382) Prec@1 61.719 (62.613) Prec@5 85.156 (83.056) Epoch: [60][570/10010] Time 0.331 (0.329) Data 0.001 (0.005) Loss 1.3547 (1.6356) Prec@1 64.844 (62.651) Prec@5 89.062 (83.101) Epoch: [60][580/10010] Time 0.318 (0.329) Data 0.001 (0.005) Loss 1.7282 (1.6360) Prec@1 57.812 (62.629) Prec@5 81.250 (83.102) Epoch: [60][590/10010] Time 0.303 (0.329) Data 0.001 (0.005) Loss 1.5849 (1.6353) Prec@1 60.938 (62.641) Prec@5 82.812 (83.106) Epoch: [60][600/10010] Time 0.328 (0.328) Data 0.000 (0.005) Loss 1.4726 (1.6329) Prec@1 64.844 (62.691) Prec@5 85.156 (83.149) Epoch: [60][610/10010] Time 0.318 (0.328) Data 0.000 (0.005) Loss 1.8924 (1.6323) Prec@1 60.938 (62.703) Prec@5 83.594 (83.163) Epoch: [60][620/10010] Time 0.319 (0.328) Data 0.001 (0.005) Loss 1.5273 (1.6311) Prec@1 65.625 (62.731) Prec@5 85.938 (83.195) Epoch: [60][630/10010] Time 0.336 (0.328) Data 0.000 (0.004) Loss 1.3007 (1.6311) Prec@1 69.531 (62.720) Prec@5 88.281 (83.198) Epoch: [60][640/10010] Time 0.339 (0.328) Data 0.001 (0.004) Loss 1.2975 (1.6289) Prec@1 70.312 (62.746) Prec@5 85.156 (83.229) Epoch: [60][650/10010] Time 0.322 (0.328) Data 0.001 (0.004) Loss 1.8690 (1.6286) Prec@1 57.812 (62.732) Prec@5 79.688 (83.240) Epoch: [60][660/10010] Time 0.323 (0.328) Data 0.000 (0.004) Loss 1.3529 (1.6279) Prec@1 67.969 (62.758) Prec@5 88.281 (83.249) Epoch: [60][670/10010] Time 0.316 (0.328) Data 0.000 (0.004) Loss 1.5195 (1.6268) Prec@1 67.969 (62.784) Prec@5 84.375 (83.269) Epoch: [60][680/10010] Time 0.320 (0.328) Data 0.000 (0.004) Loss 1.7458 (1.6264) Prec@1 60.938 (62.803) Prec@5 82.031 (83.291) Epoch: [60][690/10010] Time 0.312 (0.328) Data 0.000 (0.004) Loss 1.6209 (1.6254) Prec@1 66.406 (62.840) Prec@5 82.031 (83.311) Epoch: [60][700/10010] Time 0.314 (0.328) Data 0.001 (0.004) Loss 1.5736 (1.6263) Prec@1 65.625 (62.823) Prec@5 82.812 (83.287) Epoch: [60][710/10010] Time 0.323 (0.328) Data 0.001 (0.004) Loss 1.7171 (1.6256) Prec@1 62.500 (62.851) Prec@5 81.250 (83.304) Epoch: [60][720/10010] Time 0.336 (0.328) Data 0.001 (0.004) Loss 1.5965 (1.6245) Prec@1 67.188 (62.897) Prec@5 84.375 (83.319) Epoch: [60][730/10010] Time 0.319 (0.328) Data 0.001 (0.004) Loss 1.9835 (1.6248) Prec@1 57.812 (62.913) Prec@5 75.000 (83.311) Epoch: [60][740/10010] Time 0.315 (0.328) Data 0.000 (0.004) Loss 1.5909 (1.6243) Prec@1 66.406 (62.938) Prec@5 85.156 (83.319) Epoch: [60][750/10010] Time 0.326 (0.328) Data 0.000 (0.004) Loss 1.4820 (1.6241) Prec@1 61.719 (62.945) Prec@5 85.938 (83.330) Epoch: [60][760/10010] Time 0.317 (0.328) Data 0.001 (0.004) Loss 1.4219 (1.6224) Prec@1 64.062 (62.971) Prec@5 86.719 (83.349) Epoch: [60][770/10010] Time 0.338 (0.327) Data 0.000 (0.004) Loss 1.3208 (1.6222) Prec@1 67.188 (62.963) Prec@5 85.938 (83.351) Epoch: [60][780/10010] Time 0.317 (0.327) Data 0.000 (0.004) Loss 1.5034 (1.6216) Prec@1 66.406 (62.965) Prec@5 89.062 (83.368) Epoch: [60][790/10010] Time 0.322 (0.327) Data 0.001 (0.004) Loss 1.9170 (1.6225) Prec@1 57.031 (62.960) Prec@5 78.125 (83.355) Epoch: [60][800/10010] Time 0.316 (0.327) Data 0.001 (0.004) Loss 1.2857 (1.6216) Prec@1 71.094 (62.977) Prec@5 89.062 (83.372) Epoch: [60][810/10010] Time 0.332 (0.327) Data 0.001 (0.004) Loss 1.7858 (1.6206) Prec@1 62.500 (62.996) Prec@5 76.562 (83.382) Epoch: [60][820/10010] Time 0.326 (0.327) Data 0.000 (0.004) Loss 1.6831 (1.6201) Prec@1 60.156 (63.001) Prec@5 81.250 (83.391) Epoch: [60][830/10010] Time 0.319 (0.327) Data 0.000 (0.004) Loss 1.5586 (1.6195) Prec@1 64.844 (63.026) Prec@5 82.812 (83.395) Epoch: [60][840/10010] Time 0.318 (0.327) Data 0.001 (0.004) Loss 1.4919 (1.6196) Prec@1 66.406 (63.031) Prec@5 88.281 (83.389) Epoch: [60][850/10010] Time 0.322 (0.327) Data 0.000 (0.003) Loss 1.4903 (1.6191) Prec@1 62.500 (63.049) Prec@5 83.594 (83.397) Epoch: [60][860/10010] Time 0.323 (0.327) Data 0.001 (0.003) Loss 1.5793 (1.6185) Prec@1 62.500 (63.052) Prec@5 83.594 (83.394) Epoch: [60][870/10010] Time 0.334 (0.327) Data 0.001 (0.003) Loss 1.7480 (1.6181) Prec@1 61.719 (63.047) Prec@5 83.594 (83.398) Epoch: [60][880/10010] Time 0.322 (0.327) Data 0.001 (0.003) Loss 1.4241 (1.6172) Prec@1 64.062 (63.060) Prec@5 88.281 (83.403) Epoch: [60][890/10010] Time 0.317 (0.327) Data 0.001 (0.003) Loss 1.6098 (1.6162) Prec@1 64.844 (63.071) Prec@5 79.688 (83.408) Epoch: [60][900/10010] Time 0.318 (0.327) Data 0.001 (0.003) Loss 1.7045 (1.6163) Prec@1 60.156 (63.084) Prec@5 82.031 (83.407) Epoch: [60][910/10010] Time 0.314 (0.327) Data 0.001 (0.003) Loss 1.5986 (1.6154) Prec@1 62.500 (63.105) Prec@5 82.031 (83.418) Epoch: [60][920/10010] Time 0.339 (0.327) Data 0.000 (0.003) Loss 1.5067 (1.6155) Prec@1 63.281 (63.098) Prec@5 89.844 (83.437) Epoch: [60][930/10010] Time 0.323 (0.327) Data 0.000 (0.003) Loss 1.4994 (1.6152) Prec@1 72.656 (63.113) Prec@5 85.938 (83.443) Epoch: [60][940/10010] Time 0.321 (0.327) Data 0.001 (0.003) Loss 1.4597 (1.6144) Prec@1 63.281 (63.101) Prec@5 83.594 (83.456) Epoch: [60][950/10010] Time 0.311 (0.327) Data 0.001 (0.003) Loss 1.5848 (1.6144) Prec@1 64.844 (63.100) Prec@5 85.938 (83.457) Epoch: [60][960/10010] Time 0.335 (0.327) Data 0.001 (0.003) Loss 1.5296 (1.6131) Prec@1 61.719 (63.132) Prec@5 84.375 (83.474) Epoch: [60][970/10010] Time 0.313 (0.327) Data 0.000 (0.003) Loss 1.2403 (1.6128) Prec@1 70.312 (63.133) Prec@5 90.625 (83.478) Epoch: [60][980/10010] Time 0.317 (0.327) Data 0.001 (0.003) Loss 1.6068 (1.6127) Prec@1 59.375 (63.139) Prec@5 82.812 (83.479) Epoch: [60][990/10010] Time 0.327 (0.327) Data 0.001 (0.003) Loss 1.5139 (1.6118) Prec@1 67.188 (63.169) Prec@5 85.156 (83.494) Epoch: [60][1000/10010] Time 0.327 (0.327) Data 0.001 (0.003) Loss 1.6468 (1.6112) Prec@1 63.281 (63.187) Prec@5 82.812 (83.502) Epoch: [60][1010/10010] Time 0.334 (0.326) Data 0.001 (0.003) Loss 1.2737 (1.6099) Prec@1 69.531 (63.217) Prec@5 85.938 (83.519) Epoch: [60][1020/10010] Time 0.316 (0.326) Data 0.000 (0.003) Loss 1.5749 (1.6106) Prec@1 64.844 (63.208) Prec@5 83.594 (83.501) Epoch: [60][1030/10010] Time 0.319 (0.326) Data 0.001 (0.003) Loss 1.8005 (1.6104) Prec@1 58.594 (63.205) Prec@5 81.250 (83.504) Epoch: [60][1040/10010] Time 0.317 (0.326) Data 0.001 (0.003) Loss 1.8970 (1.6109) Prec@1 57.031 (63.187) Prec@5 80.469 (83.498) Epoch: [60][1050/10010] Time 0.319 (0.326) Data 0.001 (0.003) Loss 1.6783 (1.6102) Prec@1 58.594 (63.201) Prec@5 80.469 (83.507) Epoch: [60][1060/10010] Time 0.335 (0.326) Data 0.001 (0.003) Loss 1.4037 (1.6099) Prec@1 69.531 (63.217) Prec@5 87.500 (83.513) Epoch: [60][1070/10010] Time 0.333 (0.326) Data 0.000 (0.003) Loss 1.7893 (1.6106) Prec@1 64.062 (63.205) Prec@5 81.250 (83.496) Epoch: [60][1080/10010] Time 0.341 (0.326) Data 0.000 (0.003) Loss 1.7056 (1.6101) Prec@1 63.281 (63.219) Prec@5 80.469 (83.501) Epoch: [60][1090/10010] Time 0.336 (0.326) Data 0.001 (0.003) Loss 1.7408 (1.6105) Prec@1 57.031 (63.214) Prec@5 81.250 (83.491) Epoch: [60][1100/10010] Time 0.321 (0.326) Data 0.001 (0.003) Loss 1.7041 (1.6107) Prec@1 60.938 (63.205) Prec@5 83.594 (83.486) Epoch: [60][1110/10010] Time 0.328 (0.326) Data 0.001 (0.003) Loss 1.4109 (1.6099) Prec@1 68.750 (63.231) Prec@5 88.281 (83.492) Epoch: [60][1120/10010] Time 0.332 (0.326) Data 0.000 (0.003) Loss 1.3434 (1.6087) Prec@1 69.531 (63.260) Prec@5 89.062 (83.516) Epoch: [60][1130/10010] Time 0.328 (0.326) Data 0.001 (0.003) Loss 1.4446 (1.6075) Prec@1 71.875 (63.293) Prec@5 85.938 (83.546) Epoch: [60][1140/10010] Time 0.319 (0.326) Data 0.001 (0.003) Loss 1.3507 (1.6070) Prec@1 71.875 (63.306) Prec@5 83.594 (83.556) Epoch: [60][1150/10010] Time 0.335 (0.326) Data 0.001 (0.003) Loss 1.4246 (1.6069) Prec@1 67.969 (63.304) Prec@5 82.812 (83.554) Epoch: [60][1160/10010] Time 0.327 (0.326) Data 0.001 (0.003) Loss 1.4377 (1.6069) Prec@1 67.969 (63.306) Prec@5 84.375 (83.545) Epoch: [60][1170/10010] Time 0.323 (0.326) Data 0.001 (0.003) Loss 1.5124 (1.6061) Prec@1 62.500 (63.331) Prec@5 82.031 (83.551) Epoch: [60][1180/10010] Time 0.318 (0.326) Data 0.001 (0.003) Loss 1.5769 (1.6069) Prec@1 63.281 (63.318) Prec@5 84.375 (83.543) Epoch: [60][1190/10010] Time 0.317 (0.326) Data 0.001 (0.003) Loss 1.4712 (1.6072) Prec@1 64.062 (63.314) Prec@5 84.375 (83.543) Epoch: [60][1200/10010] Time 0.329 (0.326) Data 0.001 (0.003) Loss 1.7941 (1.6074) Prec@1 60.156 (63.312) Prec@5 78.906 (83.530) Epoch: [60][1210/10010] Time 0.317 (0.326) Data 0.000 (0.003) Loss 1.5327 (1.6067) Prec@1 57.031 (63.323) Prec@5 87.500 (83.542) Epoch: [60][1220/10010] Time 0.325 (0.326) Data 0.000 (0.003) Loss 1.4255 (1.6058) Prec@1 71.875 (63.336) Prec@5 83.594 (83.551) Epoch: [60][1230/10010] Time 0.330 (0.326) Data 0.001 (0.003) Loss 1.4560 (1.6051) Prec@1 67.969 (63.347) Prec@5 82.812 (83.564) Epoch: [60][1240/10010] Time 0.343 (0.326) Data 0.001 (0.003) Loss 1.6732 (1.6054) Prec@1 62.500 (63.347) Prec@5 83.594 (83.563) Epoch: [60][1250/10010] Time 0.328 (0.326) Data 0.001 (0.003) Loss 1.4548 (1.6049) Prec@1 68.750 (63.350) Prec@5 84.375 (83.568) Epoch: [60][1260/10010] Time 0.320 (0.326) Data 0.000 (0.003) Loss 1.2648 (1.6039) Prec@1 71.875 (63.366) Prec@5 90.625 (83.581) Epoch: [60][1270/10010] Time 0.332 (0.326) Data 0.001 (0.003) Loss 1.4768 (1.6045) Prec@1 62.500 (63.359) Prec@5 85.938 (83.571) Epoch: [60][1280/10010] Time 0.326 (0.326) Data 0.000 (0.003) Loss 1.5514 (1.6043) Prec@1 65.625 (63.375) Prec@5 84.375 (83.575) Epoch: [60][1290/10010] Time 0.326 (0.326) Data 0.001 (0.003) Loss 1.5088 (1.6043) Prec@1 64.844 (63.371) Prec@5 82.812 (83.570) Epoch: [60][1300/10010] Time 0.338 (0.326) Data 0.001 (0.002) Loss 1.2350 (1.6037) Prec@1 70.312 (63.382) Prec@5 89.844 (83.587) Epoch: [60][1310/10010] Time 0.334 (0.326) Data 0.001 (0.002) Loss 1.5875 (1.6032) Prec@1 66.406 (63.406) Prec@5 86.719 (83.593) Epoch: [60][1320/10010] Time 0.326 (0.326) Data 0.000 (0.002) Loss 1.7577 (1.6026) Prec@1 60.938 (63.415) Prec@5 82.812 (83.607) Epoch: [60][1330/10010] Time 0.315 (0.326) Data 0.000 (0.002) Loss 1.9151 (1.6035) Prec@1 59.375 (63.403) Prec@5 78.125 (83.593) Epoch: [60][1340/10010] Time 0.337 (0.326) Data 0.000 (0.002) Loss 1.9891 (1.6041) Prec@1 56.250 (63.398) Prec@5 82.031 (83.582) Epoch: [60][1350/10010] Time 0.320 (0.326) Data 0.000 (0.002) Loss 1.4882 (1.6037) Prec@1 67.969 (63.406) Prec@5 85.938 (83.584) Epoch: [60][1360/10010] Time 0.326 (0.326) Data 0.001 (0.002) Loss 1.6438 (1.6032) Prec@1 64.062 (63.410) Prec@5 82.031 (83.590) Epoch: [60][1370/10010] Time 0.334 (0.326) Data 0.000 (0.002) Loss 1.6862 (1.6025) Prec@1 63.281 (63.427) Prec@5 78.906 (83.597) Epoch: [60][1380/10010] Time 0.330 (0.326) Data 0.001 (0.002) Loss 1.5160 (1.6025) Prec@1 62.500 (63.424) Prec@5 85.938 (83.592) Epoch: [60][1390/10010] Time 0.317 (0.326) Data 0.001 (0.002) Loss 1.6751 (1.6024) Prec@1 67.969 (63.427) Prec@5 82.812 (83.593) Epoch: [60][1400/10010] Time 0.334 (0.326) Data 0.000 (0.002) Loss 1.6354 (1.6022) Prec@1 62.500 (63.438) Prec@5 80.469 (83.593) Epoch: [60][1410/10010] Time 0.328 (0.326) Data 0.000 (0.002) Loss 1.4876 (1.6016) Prec@1 64.062 (63.446) Prec@5 84.375 (83.601) Epoch: [60][1420/10010] Time 0.316 (0.326) Data 0.000 (0.002) Loss 1.3096 (1.6007) Prec@1 70.312 (63.471) Prec@5 86.719 (83.612) Epoch: [60][1430/10010] Time 0.325 (0.326) Data 0.001 (0.002) Loss 1.4208 (1.6003) Prec@1 69.531 (63.479) Prec@5 87.500 (83.618) Epoch: [60][1440/10010] Time 0.324 (0.326) Data 0.000 (0.002) Loss 1.7749 (1.6004) Prec@1 63.281 (63.485) Prec@5 81.250 (83.608) Epoch: [60][1450/10010] Time 0.321 (0.326) Data 0.001 (0.002) Loss 1.6705 (1.5994) Prec@1 60.938 (63.498) Prec@5 82.812 (83.626) Epoch: [60][1460/10010] Time 0.317 (0.326) Data 0.000 (0.002) Loss 1.6040 (1.5986) Prec@1 58.594 (63.505) Prec@5 82.812 (83.637) Epoch: [60][1470/10010] Time 0.338 (0.326) Data 0.001 (0.002) Loss 1.5396 (1.5980) Prec@1 66.406 (63.518) Prec@5 81.250 (83.645) Epoch: [60][1480/10010] Time 0.336 (0.326) Data 0.001 (0.002) Loss 1.4937 (1.5980) Prec@1 64.844 (63.522) Prec@5 85.156 (83.641) Epoch: [60][1490/10010] Time 0.331 (0.326) Data 0.000 (0.002) Loss 1.4722 (1.5973) Prec@1 67.188 (63.534) Prec@5 83.594 (83.644) Epoch: [60][1500/10010] Time 0.337 (0.326) Data 0.000 (0.002) Loss 1.6853 (1.5971) Prec@1 59.375 (63.535) Prec@5 86.719 (83.658) Epoch: [60][1510/10010] Time 0.313 (0.326) Data 0.000 (0.002) Loss 1.6890 (1.5973) Prec@1 63.281 (63.529) Prec@5 82.031 (83.654) Epoch: [60][1520/10010] Time 0.316 (0.326) Data 0.001 (0.002) Loss 1.8123 (1.5971) Prec@1 66.406 (63.526) Prec@5 80.469 (83.659) Epoch: [60][1530/10010] Time 0.333 (0.326) Data 0.001 (0.002) Loss 1.6139 (1.5972) Prec@1 65.625 (63.528) Prec@5 83.594 (83.662) Epoch: [60][1540/10010] Time 0.319 (0.326) Data 0.001 (0.002) Loss 1.1160 (1.5964) Prec@1 71.875 (63.547) Prec@5 92.969 (83.672) Epoch: [60][1550/10010] Time 0.322 (0.326) Data 0.000 (0.002) Loss 1.7233 (1.5957) Prec@1 65.625 (63.566) Prec@5 82.812 (83.684) Epoch: [60][1560/10010] Time 0.330 (0.326) Data 0.001 (0.002) Loss 1.4128 (1.5959) Prec@1 68.750 (63.563) Prec@5 88.281 (83.680) Epoch: [60][1570/10010] Time 0.335 (0.326) Data 0.001 (0.002) Loss 1.7787 (1.5959) Prec@1 61.719 (63.565) Prec@5 81.250 (83.684) Epoch: [60][1580/10010] Time 0.327 (0.326) Data 0.001 (0.002) Loss 1.9012 (1.5960) Prec@1 57.812 (63.560) Prec@5 78.906 (83.682) Epoch: [60][1590/10010] Time 0.327 (0.326) Data 0.000 (0.002) Loss 1.5656 (1.5956) Prec@1 62.500 (63.565) Prec@5 84.375 (83.689) Epoch: [60][1600/10010] Time 0.325 (0.326) Data 0.000 (0.002) Loss 1.7524 (1.5960) Prec@1 67.969 (63.555) Prec@5 81.250 (83.690) Epoch: [60][1610/10010] Time 0.336 (0.326) Data 0.001 (0.002) Loss 1.5396 (1.5957) Prec@1 65.625 (63.560) Prec@5 88.281 (83.694) Epoch: [60][1620/10010] Time 0.331 (0.326) Data 0.000 (0.002) Loss 1.4623 (1.5961) Prec@1 64.844 (63.546) Prec@5 85.156 (83.689) Epoch: [60][1630/10010] Time 0.321 (0.326) Data 0.000 (0.002) Loss 1.2699 (1.5960) Prec@1 72.656 (63.562) Prec@5 85.938 (83.689) Epoch: [60][1640/10010] Time 0.315 (0.326) Data 0.001 (0.002) Loss 1.7351 (1.5959) Prec@1 60.156 (63.567) Prec@5 78.906 (83.692) Epoch: [60][1650/10010] Time 0.320 (0.326) Data 0.001 (0.002) Loss 1.4860 (1.5956) Prec@1 65.625 (63.571) Prec@5 85.938 (83.697) Epoch: [60][1660/10010] Time 0.341 (0.326) Data 0.001 (0.002) Loss 1.4280 (1.5951) Prec@1 61.719 (63.572) Prec@5 87.500 (83.706) Epoch: [60][1670/10010] Time 0.320 (0.326) Data 0.000 (0.002) Loss 1.1993 (1.5948) Prec@1 73.438 (63.578) Prec@5 89.062 (83.712) Epoch: [60][1680/10010] Time 0.340 (0.326) Data 0.001 (0.002) Loss 1.6630 (1.5949) Prec@1 63.281 (63.572) Prec@5 83.594 (83.722) Epoch: [60][1690/10010] Time 0.317 (0.326) Data 0.001 (0.002) Loss 1.4813 (1.5947) Prec@1 67.188 (63.576) Prec@5 86.719 (83.729) Epoch: [60][1700/10010] Time 0.332 (0.326) Data 0.000 (0.002) Loss 1.5435 (1.5942) Prec@1 70.312 (63.588) Prec@5 82.031 (83.737) Epoch: [60][1710/10010] Time 0.320 (0.326) Data 0.000 (0.002) Loss 1.5429 (1.5940) Prec@1 64.844 (63.585) Prec@5 82.812 (83.738) Epoch: [60][1720/10010] Time 0.329 (0.326) Data 0.000 (0.002) Loss 1.6415 (1.5937) Prec@1 58.594 (63.586) Prec@5 84.375 (83.742) Epoch: [60][1730/10010] Time 0.328 (0.326) Data 0.000 (0.002) Loss 1.7565 (1.5938) Prec@1 62.500 (63.588) Prec@5 78.906 (83.740) Epoch: [60][1740/10010] Time 0.338 (0.326) Data 0.001 (0.002) Loss 1.5832 (1.5934) Prec@1 60.938 (63.591) Prec@5 84.375 (83.745) Epoch: [60][1750/10010] Time 0.338 (0.326) Data 0.000 (0.002) Loss 1.5786 (1.5936) Prec@1 62.500 (63.586) Prec@5 85.938 (83.746) Epoch: [60][1760/10010] Time 0.312 (0.326) Data 0.000 (0.002) Loss 1.3596 (1.5937) Prec@1 67.969 (63.590) Prec@5 89.062 (83.746) Epoch: [60][1770/10010] Time 0.335 (0.326) Data 0.001 (0.002) Loss 1.6285 (1.5937) Prec@1 62.500 (63.598) Prec@5 82.812 (83.741) Epoch: [60][1780/10010] Time 0.321 (0.326) Data 0.001 (0.002) Loss 1.6213 (1.5931) Prec@1 63.281 (63.609) Prec@5 84.375 (83.748) Epoch: [60][1790/10010] Time 0.322 (0.326) Data 0.000 (0.002) Loss 1.6684 (1.5932) Prec@1 58.594 (63.604) Prec@5 83.594 (83.750) Epoch: [60][1800/10010] Time 0.341 (0.326) Data 0.000 (0.002) Loss 1.2642 (1.5928) Prec@1 71.875 (63.619) Prec@5 86.719 (83.758) Epoch: [60][1810/10010] Time 0.336 (0.326) Data 0.001 (0.002) Loss 1.7401 (1.5924) Prec@1 58.594 (63.625) Prec@5 85.156 (83.771) Epoch: [60][1820/10010] Time 0.337 (0.326) Data 0.001 (0.002) Loss 1.8751 (1.5924) Prec@1 59.375 (63.626) Prec@5 80.469 (83.779) Epoch: [60][1830/10010] Time 0.309 (0.326) Data 0.001 (0.002) Loss 1.5130 (1.5924) Prec@1 67.188 (63.629) Prec@5 85.156 (83.781) Epoch: [60][1840/10010] Time 0.320 (0.326) Data 0.001 (0.002) Loss 1.4127 (1.5919) Prec@1 64.844 (63.630) Prec@5 84.375 (83.786) Epoch: [60][1850/10010] Time 0.339 (0.326) Data 0.000 (0.002) Loss 1.8031 (1.5920) Prec@1 57.031 (63.629) Prec@5 78.906 (83.784) Epoch: [60][1860/10010] Time 0.316 (0.326) Data 0.001 (0.002) Loss 1.5854 (1.5917) Prec@1 60.156 (63.636) Prec@5 85.938 (83.786) Epoch: [60][1870/10010] Time 0.314 (0.326) Data 0.001 (0.002) Loss 1.3932 (1.5914) Prec@1 61.719 (63.636) Prec@5 88.281 (83.796) Epoch: [60][1880/10010] Time 0.335 (0.326) Data 0.001 (0.002) Loss 1.7302 (1.5914) Prec@1 63.281 (63.628) Prec@5 78.125 (83.798) Epoch: [60][1890/10010] Time 0.331 (0.326) Data 0.001 (0.002) Loss 1.6501 (1.5911) Prec@1 63.281 (63.634) Prec@5 84.375 (83.799) Epoch: [60][1900/10010] Time 0.317 (0.326) Data 0.000 (0.002) Loss 1.4607 (1.5913) Prec@1 67.188 (63.629) Prec@5 88.281 (83.794) Epoch: [60][1910/10010] Time 0.317 (0.326) Data 0.000 (0.002) Loss 1.2244 (1.5911) Prec@1 66.406 (63.629) Prec@5 91.406 (83.796) Epoch: [60][1920/10010] Time 0.330 (0.326) Data 0.001 (0.002) Loss 1.6530 (1.5911) Prec@1 59.375 (63.628) Prec@5 85.156 (83.794) Epoch: [60][1930/10010] Time 0.335 (0.326) Data 0.000 (0.002) Loss 1.5905 (1.5913) Prec@1 62.500 (63.628) Prec@5 82.812 (83.789) Epoch: [60][1940/10010] Time 0.342 (0.326) Data 0.000 (0.002) Loss 1.8509 (1.5915) Prec@1 62.500 (63.621) Prec@5 81.250 (83.788) Epoch: [60][1950/10010] Time 0.326 (0.326) Data 0.000 (0.002) Loss 1.2497 (1.5908) Prec@1 70.312 (63.636) Prec@5 86.719 (83.792) Epoch: [60][1960/10010] Time 0.342 (0.326) Data 0.000 (0.002) Loss 1.6239 (1.5907) Prec@1 62.500 (63.644) Prec@5 82.031 (83.799) Epoch: [60][1970/10010] Time 0.336 (0.326) Data 0.001 (0.002) Loss 2.0117 (1.5903) Prec@1 52.344 (63.649) Prec@5 77.344 (83.805) Epoch: [60][1980/10010] Time 0.317 (0.326) Data 0.000 (0.002) Loss 1.7249 (1.5898) Prec@1 59.375 (63.658) Prec@5 82.031 (83.813) Epoch: [60][1990/10010] Time 0.322 (0.326) Data 0.000 (0.002) Loss 1.5874 (1.5894) Prec@1 62.500 (63.663) Prec@5 82.031 (83.817) Epoch: [60][2000/10010] Time 0.334 (0.326) Data 0.000 (0.002) Loss 1.7190 (1.5894) Prec@1 60.938 (63.662) Prec@5 80.469 (83.817) Epoch: [60][2010/10010] Time 0.336 (0.326) Data 0.000 (0.002) Loss 1.7612 (1.5892) Prec@1 60.938 (63.662) Prec@5 80.469 (83.826) Epoch: [60][2020/10010] Time 0.316 (0.326) Data 0.001 (0.002) Loss 1.3642 (1.5890) Prec@1 68.750 (63.663) Prec@5 89.062 (83.834) Epoch: [60][2030/10010] Time 0.340 (0.326) Data 0.000 (0.002) Loss 1.4347 (1.5883) Prec@1 67.188 (63.677) Prec@5 88.281 (83.844) Epoch: [60][2040/10010] Time 0.329 (0.326) Data 0.000 (0.002) Loss 1.4151 (1.5881) Prec@1 66.406 (63.687) Prec@5 85.938 (83.847) Epoch: [60][2050/10010] Time 0.338 (0.326) Data 0.001 (0.002) Loss 1.6226 (1.5878) Prec@1 64.062 (63.691) Prec@5 84.375 (83.849) Epoch: [60][2060/10010] Time 0.323 (0.326) Data 0.001 (0.002) Loss 1.2041 (1.5879) Prec@1 67.969 (63.693) Prec@5 86.719 (83.851) Epoch: [60][2070/10010] Time 0.322 (0.326) Data 0.001 (0.002) Loss 1.1274 (1.5876) Prec@1 73.438 (63.697) Prec@5 89.844 (83.853) Epoch: [60][2080/10010] Time 0.317 (0.326) Data 0.001 (0.002) Loss 1.4394 (1.5872) Prec@1 66.406 (63.710) Prec@5 85.938 (83.856) Epoch: [60][2090/10010] Time 0.338 (0.326) Data 0.001 (0.002) Loss 1.4877 (1.5872) Prec@1 69.531 (63.715) Prec@5 85.938 (83.853) Epoch: [60][2100/10010] Time 0.319 (0.326) Data 0.001 (0.002) Loss 1.4550 (1.5870) Prec@1 68.750 (63.719) Prec@5 83.594 (83.855) Epoch: [60][2110/10010] Time 0.321 (0.326) Data 0.001 (0.002) Loss 1.6032 (1.5869) Prec@1 62.500 (63.721) Prec@5 82.812 (83.851) Epoch: [60][2120/10010] Time 0.318 (0.326) Data 0.001 (0.002) Loss 1.6075 (1.5868) Prec@1 57.031 (63.729) Prec@5 89.062 (83.855) Epoch: [60][2130/10010] Time 0.333 (0.326) Data 0.000 (0.002) Loss 1.4710 (1.5868) Prec@1 62.500 (63.727) Prec@5 84.375 (83.854) Epoch: [60][2140/10010] Time 0.321 (0.326) Data 0.001 (0.002) Loss 1.5556 (1.5865) Prec@1 60.156 (63.731) Prec@5 83.594 (83.863) Epoch: [60][2150/10010] Time 0.337 (0.326) Data 0.000 (0.002) Loss 1.3642 (1.5859) Prec@1 65.625 (63.739) Prec@5 89.062 (83.870) Epoch: [60][2160/10010] Time 0.331 (0.326) Data 0.001 (0.002) Loss 1.7336 (1.5856) Prec@1 58.594 (63.747) Prec@5 82.812 (83.875) Epoch: [60][2170/10010] Time 0.323 (0.326) Data 0.001 (0.002) Loss 1.4460 (1.5852) Prec@1 67.188 (63.751) Prec@5 86.719 (83.878) Epoch: [60][2180/10010] Time 0.320 (0.326) Data 0.001 (0.002) Loss 1.6502 (1.5851) Prec@1 61.719 (63.755) Prec@5 82.812 (83.877) Epoch: [60][2190/10010] Time 0.330 (0.326) Data 0.000 (0.002) Loss 1.6486 (1.5850) Prec@1 61.719 (63.760) Prec@5 82.031 (83.876) Epoch: [60][2200/10010] Time 0.329 (0.326) Data 0.001 (0.002) Loss 1.6559 (1.5852) Prec@1 59.375 (63.759) Prec@5 85.156 (83.872) Epoch: [60][2210/10010] Time 0.324 (0.326) Data 0.001 (0.002) Loss 1.3683 (1.5851) Prec@1 70.312 (63.759) Prec@5 84.375 (83.869) Epoch: [60][2220/10010] Time 0.323 (0.326) Data 0.001 (0.002) Loss 1.5215 (1.5847) Prec@1 64.844 (63.765) Prec@5 85.938 (83.867) Epoch: [60][2230/10010] Time 0.337 (0.326) Data 0.000 (0.002) Loss 1.4553 (1.5845) Prec@1 67.188 (63.764) Prec@5 87.500 (83.869) Epoch: [60][2240/10010] Time 0.320 (0.326) Data 0.001 (0.002) Loss 1.5738 (1.5842) Prec@1 64.062 (63.770) Prec@5 84.375 (83.873) Epoch: [60][2250/10010] Time 0.339 (0.326) Data 0.001 (0.002) Loss 1.7368 (1.5838) Prec@1 58.594 (63.780) Prec@5 83.594 (83.880) Epoch: [60][2260/10010] Time 0.332 (0.326) Data 0.001 (0.002) Loss 1.6147 (1.5832) Prec@1 66.406 (63.792) Prec@5 81.250 (83.891) Epoch: [60][2270/10010] Time 0.336 (0.326) Data 0.000 (0.002) Loss 1.6230 (1.5830) Prec@1 57.812 (63.793) Prec@5 83.594 (83.892) Epoch: [60][2280/10010] Time 0.312 (0.326) Data 0.001 (0.002) Loss 1.5711 (1.5829) Prec@1 61.719 (63.791) Prec@5 83.594 (83.897) Epoch: [60][2290/10010] Time 0.324 (0.326) Data 0.001 (0.002) Loss 1.6427 (1.5824) Prec@1 62.500 (63.802) Prec@5 82.031 (83.900) Epoch: [60][2300/10010] Time 0.322 (0.326) Data 0.001 (0.002) Loss 1.7820 (1.5825) Prec@1 57.031 (63.800) Prec@5 79.688 (83.897) Epoch: [60][2310/10010] Time 0.314 (0.326) Data 0.001 (0.002) Loss 1.7399 (1.5827) Prec@1 57.031 (63.793) Prec@5 82.031 (83.900) Epoch: [60][2320/10010] Time 0.335 (0.326) Data 0.001 (0.002) Loss 1.3592 (1.5824) Prec@1 70.312 (63.803) Prec@5 85.938 (83.902) Epoch: [60][2330/10010] Time 0.313 (0.326) Data 0.001 (0.002) Loss 1.6699 (1.5824) Prec@1 61.719 (63.803) Prec@5 82.812 (83.907) Epoch: [60][2340/10010] Time 0.314 (0.326) Data 0.001 (0.002) Loss 1.2940 (1.5820) Prec@1 68.750 (63.812) Prec@5 86.719 (83.910) Epoch: [60][2350/10010] Time 0.317 (0.326) Data 0.001 (0.002) Loss 1.7521 (1.5819) Prec@1 65.625 (63.816) Prec@5 82.031 (83.913) Epoch: [60][2360/10010] Time 0.320 (0.326) Data 0.001 (0.002) Loss 1.8057 (1.5819) Prec@1 61.719 (63.814) Prec@5 77.344 (83.911) Epoch: [60][2370/10010] Time 0.320 (0.326) Data 0.001 (0.002) Loss 1.4066 (1.5813) Prec@1 63.281 (63.820) Prec@5 85.156 (83.918) Epoch: [60][2380/10010] Time 0.326 (0.326) Data 0.001 (0.002) Loss 1.6206 (1.5809) Prec@1 60.938 (63.826) Prec@5 80.469 (83.924) Epoch: [60][2390/10010] Time 0.321 (0.326) Data 0.001 (0.002) Loss 1.2130 (1.5803) Prec@1 68.750 (63.831) Prec@5 91.406 (83.936) Epoch: [60][2400/10010] Time 0.332 (0.326) Data 0.001 (0.002) Loss 1.7655 (1.5803) Prec@1 60.156 (63.826) Prec@5 78.906 (83.934) Epoch: [60][2410/10010] Time 0.328 (0.326) Data 0.001 (0.002) Loss 1.3285 (1.5797) Prec@1 65.625 (63.839) Prec@5 86.719 (83.942) Epoch: [60][2420/10010] Time 0.333 (0.326) Data 0.001 (0.002) Loss 1.4594 (1.5801) Prec@1 66.406 (63.830) Prec@5 83.594 (83.938) Epoch: [60][2430/10010] Time 0.316 (0.326) Data 0.001 (0.002) Loss 1.8527 (1.5799) Prec@1 61.719 (63.837) Prec@5 80.469 (83.940) Epoch: [60][2440/10010] Time 0.338 (0.326) Data 0.000 (0.002) Loss 1.5703 (1.5798) Prec@1 64.844 (63.840) Prec@5 83.594 (83.942) Epoch: [60][2450/10010] Time 0.339 (0.326) Data 0.001 (0.002) Loss 1.2949 (1.5797) Prec@1 74.219 (63.841) Prec@5 87.500 (83.948) Epoch: [60][2460/10010] Time 0.332 (0.326) Data 0.001 (0.002) Loss 1.6330 (1.5797) Prec@1 62.500 (63.840) Prec@5 86.719 (83.949) /data/vision/torralba/deepscene/lib/anaconda2/lib/python2.7/site-packages/PIL/TiffImagePlugin.py:692: UserWarning: Possibly corrupt EXIF data. Expecting to read 19660800 bytes but only got 0. Skipping tag 0 "Skipping tag %s" % (size, len(data), tag)) /data/vision/torralba/deepscene/lib/anaconda2/lib/python2.7/site-packages/PIL/TiffImagePlugin.py:692: UserWarning: Possibly corrupt EXIF data. Expecting to read 18481152 bytes but only got 0. Skipping tag 0 "Skipping tag %s" % (size, len(data), tag)) /data/vision/torralba/deepscene/lib/anaconda2/lib/python2.7/site-packages/PIL/TiffImagePlugin.py:692: UserWarning: Possibly corrupt EXIF data. Expecting to read 37093376 bytes but only got 0. Skipping tag 0 "Skipping tag %s" % (size, len(data), tag)) /data/vision/torralba/deepscene/lib/anaconda2/lib/python2.7/site-packages/PIL/TiffImagePlugin.py:692: UserWarning: Possibly corrupt EXIF data. Expecting to read 39976960 bytes but only got 0. Skipping tag 0 "Skipping tag %s" % (size, len(data), tag)) /data/vision/torralba/deepscene/lib/anaconda2/lib/python2.7/site-packages/PIL/TiffImagePlugin.py:692: UserWarning: Possibly corrupt EXIF data. Expecting to read 34865152 bytes but only got 0. Skipping tag 0 "Skipping tag %s" % (size, len(data), tag)) /data/vision/torralba/deepscene/lib/anaconda2/lib/python2.7/site-packages/PIL/TiffImagePlugin.py:709: UserWarning: Corrupt EXIF data. Expecting to read 12 bytes but only got 10. warnings.warn(str(msg)) Epoch: [60][2470/10010] Time 0.317 (0.326) Data 0.001 (0.002) Loss 1.7780 (1.5793) Prec@1 57.812 (63.848) Prec@5 82.031 (83.956) Epoch: [60][2480/10010] Time 0.320 (0.326) Data 0.000 (0.002) Loss 1.5231 (1.5795) Prec@1 65.625 (63.842) Prec@5 85.156 (83.955) Epoch: [60][2490/10010] Time 0.320 (0.326) Data 0.001 (0.002) Loss 1.4785 (1.5792) Prec@1 64.844 (63.845) Prec@5 85.938 (83.957) Epoch: [60][2500/10010] Time 0.309 (0.326) Data 0.001 (0.002) Loss 1.7328 (1.5796) Prec@1 61.719 (63.834) Prec@5 82.031 (83.950) Epoch: [60][2510/10010] Time 0.337 (0.326) Data 0.001 (0.002) Loss 1.4883 (1.5796) Prec@1 63.281 (63.830) Prec@5 85.938 (83.951) Epoch: [60][2520/10010] Time 0.327 (0.326) Data 0.001 (0.002) Loss 1.3251 (1.5792) Prec@1 67.188 (63.838) Prec@5 89.062 (83.958) Epoch: [60][2530/10010] Time 0.339 (0.326) Data 0.001 (0.002) Loss 1.6805 (1.5791) Prec@1 58.594 (63.838) Prec@5 85.156 (83.958) Epoch: [60][2540/10010] Time 0.333 (0.326) Data 0.001 (0.002) Loss 1.4349 (1.5791) Prec@1 64.844 (63.839) Prec@5 86.719 (83.961) Epoch: [60][2550/10010] Time 0.329 (0.326) Data 0.001 (0.002) Loss 1.6174 (1.5789) Prec@1 65.625 (63.842) Prec@5 81.250 (83.961) Epoch: [60][2560/10010] Time 0.337 (0.326) Data 0.000 (0.002) Loss 1.4854 (1.5787) Prec@1 71.094 (63.853) Prec@5 87.500 (83.966) Epoch: [60][2570/10010] Time 0.312 (0.326) Data 0.000 (0.002) Loss 1.4655 (1.5786) Prec@1 66.406 (63.853) Prec@5 84.375 (83.967) Epoch: [60][2580/10010] Time 0.326 (0.326) Data 0.001 (0.002) Loss 1.4459 (1.5785) Prec@1 65.625 (63.850) Prec@5 87.500 (83.968) Epoch: [60][2590/10010] Time 0.321 (0.326) Data 0.000 (0.002) Loss 1.6051 (1.5786) Prec@1 64.844 (63.852) Prec@5 80.469 (83.965) Epoch: [60][2600/10010] Time 0.335 (0.326) Data 0.000 (0.002) Loss 1.7054 (1.5789) Prec@1 62.500 (63.839) Prec@5 77.344 (83.958) Epoch: [60][2610/10010] Time 0.323 (0.326) Data 0.001 (0.002) Loss 1.5153 (1.5787) Prec@1 64.062 (63.846) Prec@5 82.812 (83.957) Epoch: [60][2620/10010] Time 0.312 (0.326) Data 0.001 (0.002) Loss 1.4735 (1.5787) Prec@1 67.969 (63.846) Prec@5 86.719 (83.958) Epoch: [60][2630/10010] Time 0.340 (0.326) Data 0.001 (0.002) Loss 1.5244 (1.5783) Prec@1 66.406 (63.853) Prec@5 85.156 (83.965) Epoch: [60][2640/10010] Time 0.321 (0.326) Data 0.000 (0.002) Loss 1.5231 (1.5785) Prec@1 64.062 (63.850) Prec@5 85.156 (83.961) Epoch: [60][2650/10010] Time 0.332 (0.326) Data 0.001 (0.002) Loss 1.6997 (1.5784) Prec@1 61.719 (63.854) Prec@5 79.688 (83.963) Epoch: [60][2660/10010] Time 0.337 (0.326) Data 0.000 (0.002) Loss 1.4044 (1.5783) Prec@1 70.312 (63.853) Prec@5 89.062 (83.965) Epoch: [60][2670/10010] Time 0.319 (0.326) Data 0.001 (0.002) Loss 1.5540 (1.5782) Prec@1 70.312 (63.852) Prec@5 85.156 (83.964) Epoch: [60][2680/10010] Time 0.330 (0.326) Data 0.001 (0.002) Loss 1.6734 (1.5784) Prec@1 58.594 (63.843) Prec@5 82.031 (83.960) Epoch: [60][2690/10010] Time 0.321 (0.326) Data 0.001 (0.002) Loss 1.4601 (1.5786) Prec@1 67.969 (63.843) Prec@5 83.594 (83.957) Epoch: [60][2700/10010] Time 0.317 (0.326) Data 0.001 (0.002) Loss 1.7839 (1.5784) Prec@1 59.375 (63.848) Prec@5 80.469 (83.959) Epoch: [60][2710/10010] Time 0.335 (0.326) Data 0.001 (0.002) Loss 1.4210 (1.5780) Prec@1 64.844 (63.855) Prec@5 85.156 (83.963) Epoch: [60][2720/10010] Time 0.330 (0.326) Data 0.001 (0.002) Loss 1.5531 (1.5777) Prec@1 66.406 (63.861) Prec@5 85.156 (83.968) Epoch: [60][2730/10010] Time 0.338 (0.326) Data 0.001 (0.002) Loss 1.5064 (1.5774) Prec@1 66.406 (63.867) Prec@5 86.719 (83.974) Epoch: [60][2740/10010] Time 0.339 (0.326) Data 0.001 (0.002) Loss 1.3434 (1.5773) Prec@1 69.531 (63.872) Prec@5 86.719 (83.973) Epoch: [60][2750/10010] Time 0.327 (0.326) Data 0.001 (0.002) Loss 1.3524 (1.5771) Prec@1 70.312 (63.881) Prec@5 84.375 (83.972) Epoch: [60][2760/10010] Time 0.334 (0.326) Data 0.000 (0.002) Loss 1.6466 (1.5770) Prec@1 69.531 (63.883) Prec@5 85.156 (83.976) Epoch: [60][2770/10010] Time 0.321 (0.326) Data 0.001 (0.002) Loss 1.3935 (1.5764) Prec@1 67.969 (63.897) Prec@5 85.156 (83.984) Epoch: [60][2780/10010] Time 0.323 (0.326) Data 0.001 (0.002) Loss 1.3275 (1.5761) Prec@1 69.531 (63.907) Prec@5 88.281 (83.988) Epoch: [60][2790/10010] Time 0.318 (0.326) Data 0.001 (0.001) Loss 1.5414 (1.5759) Prec@1 65.625 (63.910) Prec@5 84.375 (83.994) Epoch: [60][2800/10010] Time 0.336 (0.326) Data 0.001 (0.001) Loss 1.4187 (1.5760) Prec@1 65.625 (63.906) Prec@5 83.594 (83.994) Epoch: [60][2810/10010] Time 0.336 (0.326) Data 0.000 (0.001) Loss 1.2864 (1.5756) Prec@1 64.062 (63.905) Prec@5 89.844 (84.001) Epoch: [60][2820/10010] Time 0.318 (0.326) Data 0.001 (0.001) Loss 1.6215 (1.5755) Prec@1 60.938 (63.908) Prec@5 86.719 (84.006) Epoch: [60][2830/10010] Time 0.327 (0.326) Data 0.000 (0.001) Loss 1.7739 (1.5755) Prec@1 60.156 (63.910) Prec@5 79.688 (84.006) Epoch: [60][2840/10010] Time 0.337 (0.326) Data 0.001 (0.001) Loss 1.7634 (1.5754) Prec@1 58.594 (63.910) Prec@5 82.031 (84.010) Epoch: [60][2850/10010] Time 0.333 (0.326) Data 0.000 (0.001) Loss 1.6159 (1.5753) Prec@1 63.281 (63.912) Prec@5 88.281 (84.016) Epoch: [60][2860/10010] Time 0.338 (0.326) Data 0.000 (0.001) Loss 1.6653 (1.5752) Prec@1 61.719 (63.916) Prec@5 79.688 (84.020) Epoch: [60][2870/10010] Time 0.339 (0.326) Data 0.000 (0.001) Loss 1.6878 (1.5753) Prec@1 64.062 (63.913) Prec@5 85.156 (84.020) Epoch: [60][2880/10010] Time 0.316 (0.326) Data 0.001 (0.001) Loss 1.7903 (1.5752) Prec@1 65.625 (63.915) Prec@5 84.375 (84.021) Epoch: [60][2890/10010] Time 0.332 (0.326) Data 0.001 (0.001) Loss 1.6644 (1.5752) Prec@1 58.594 (63.916) Prec@5 80.469 (84.020) Epoch: [60][2900/10010] Time 0.320 (0.326) Data 0.001 (0.001) Loss 1.5342 (1.5749) Prec@1 64.062 (63.927) Prec@5 87.500 (84.027) Epoch: [60][2910/10010] Time 0.338 (0.326) Data 0.001 (0.001) Loss 1.6020 (1.5747) Prec@1 71.094 (63.936) Prec@5 82.031 (84.031) Epoch: [60][2920/10010] Time 0.333 (0.326) Data 0.000 (0.001) Loss 1.4512 (1.5747) Prec@1 68.750 (63.939) Prec@5 83.594 (84.031) Epoch: [60][2930/10010] Time 0.317 (0.326) Data 0.001 (0.001) Loss 1.2007 (1.5742) Prec@1 71.094 (63.949) Prec@5 89.844 (84.042) Epoch: [60][2940/10010] Time 0.314 (0.326) Data 0.001 (0.001) Loss 1.5170 (1.5739) Prec@1 62.500 (63.956) Prec@5 82.031 (84.045) Epoch: [60][2950/10010] Time 0.321 (0.326) Data 0.001 (0.001) Loss 1.5106 (1.5737) Prec@1 67.969 (63.962) Prec@5 84.375 (84.046) Epoch: [60][2960/10010] Time 0.321 (0.326) Data 0.001 (0.001) Loss 1.8984 (1.5736) Prec@1 60.938 (63.967) Prec@5 80.469 (84.051) Epoch: [60][2970/10010] Time 0.332 (0.326) Data 0.000 (0.001) Loss 1.4458 (1.5735) Prec@1 66.406 (63.968) Prec@5 85.938 (84.055) Epoch: [60][2980/10010] Time 0.315 (0.326) Data 0.000 (0.001) Loss 1.7038 (1.5734) Prec@1 59.375 (63.972) Prec@5 82.031 (84.058) Epoch: [60][2990/10010] Time 0.321 (0.326) Data 0.001 (0.001) Loss 1.7669 (1.5733) Prec@1 59.375 (63.971) Prec@5 78.125 (84.055) Epoch: [60][3000/10010] Time 0.320 (0.326) Data 0.001 (0.001) Loss 1.6471 (1.5731) Prec@1 60.938 (63.977) Prec@5 82.031 (84.058) Epoch: [60][3010/10010] Time 0.325 (0.326) Data 0.001 (0.001) Loss 1.5032 (1.5727) Prec@1 62.500 (63.982) Prec@5 81.250 (84.063) Epoch: [60][3020/10010] Time 0.323 (0.326) Data 0.000 (0.001) Loss 1.3545 (1.5725) Prec@1 64.844 (63.987) Prec@5 85.938 (84.065) Epoch: [60][3030/10010] Time 0.338 (0.326) Data 0.000 (0.001) Loss 1.4573 (1.5724) Prec@1 68.750 (63.994) Prec@5 83.594 (84.064) Epoch: [60][3040/10010] Time 0.339 (0.326) Data 0.001 (0.001) Loss 1.4433 (1.5722) Prec@1 71.875 (63.998) Prec@5 85.156 (84.066) /data/vision/torralba/deepscene/lib/anaconda2/lib/python2.7/site-packages/PIL/TiffImagePlugin.py:692: UserWarning: Possibly corrupt EXIF data. Expecting to read 2555904 bytes but only got 0. Skipping tag 0 "Skipping tag %s" % (size, len(data), tag)) Epoch: [60][3050/10010] Time 0.316 (0.326) Data 0.000 (0.001) Loss 1.5552 (1.5721) Prec@1 64.844 (63.999) Prec@5 83.594 (84.068) Epoch: [60][3060/10010] Time 0.337 (0.326) Data 0.000 (0.001) Loss 1.6161 (1.5724) Prec@1 67.969 (63.996) Prec@5 86.719 (84.065) Epoch: [60][3070/10010] Time 0.318 (0.326) Data 0.001 (0.001) Loss 1.4657 (1.5718) Prec@1 69.531 (64.008) Prec@5 84.375 (84.073) Epoch: [60][3080/10010] Time 0.336 (0.326) Data 0.000 (0.001) Loss 1.4864 (1.5716) Prec@1 65.625 (64.008) Prec@5 85.938 (84.078) /data/vision/torralba/deepscene/lib/anaconda2/lib/python2.7/site-packages/PIL/TiffImagePlugin.py:692: UserWarning: Possibly corrupt EXIF data. Expecting to read 1835008 bytes but only got 0. Skipping tag 0 "Skipping tag %s" % (size, len(data), tag)) Epoch: [60][3090/10010] Time 0.311 (0.326) Data 0.000 (0.001) Loss 1.4699 (1.5713) Prec@1 63.281 (64.016) Prec@5 82.812 (84.079) Epoch: [60][3100/10010] Time 0.340 (0.326) Data 0.001 (0.001) Loss 1.6183 (1.5713) Prec@1 60.156 (64.017) Prec@5 82.031 (84.077) Epoch: [60][3110/10010] Time 0.330 (0.326) Data 0.001 (0.001) Loss 1.9381 (1.5715) Prec@1 59.375 (64.016) Prec@5 78.125 (84.078) Epoch: [60][3120/10010] Time 0.327 (0.326) Data 0.000 (0.001) Loss 1.6891 (1.5716) Prec@1 61.719 (64.017) Prec@5 83.594 (84.077) Epoch: [60][3130/10010] Time 0.323 (0.326) Data 0.000 (0.001) Loss 1.2770 (1.5714) Prec@1 69.531 (64.021) Prec@5 84.375 (84.077) Epoch: [60][3140/10010] Time 0.332 (0.326) Data 0.001 (0.001) Loss 1.4187 (1.5709) Prec@1 67.188 (64.031) Prec@5 86.719 (84.085) Epoch: [60][3150/10010] Time 0.333 (0.326) Data 0.001 (0.001) Loss 1.6643 (1.5712) Prec@1 57.812 (64.024) Prec@5 83.594 (84.083) Epoch: [60][3160/10010] Time 0.342 (0.326) Data 0.001 (0.001) Loss 1.4501 (1.5709) Prec@1 65.625 (64.030) Prec@5 89.062 (84.090) Epoch: [60][3170/10010] Time 0.323 (0.326) Data 0.001 (0.001) Loss 1.5431 (1.5708) Prec@1 69.531 (64.032) Prec@5 84.375 (84.092) Epoch: [60][3180/10010] Time 0.321 (0.326) Data 0.000 (0.001) Loss 1.5672 (1.5706) Prec@1 61.719 (64.035) Prec@5 84.375 (84.095) Epoch: [60][3190/10010] Time 0.312 (0.326) Data 0.001 (0.001) Loss 1.1824 (1.5705) Prec@1 72.656 (64.037) Prec@5 92.969 (84.095) Epoch: [60][3200/10010] Time 0.319 (0.326) Data 0.001 (0.001) Loss 1.4268 (1.5704) Prec@1 64.844 (64.036) Prec@5 87.500 (84.097) Epoch: [60][3210/10010] Time 0.319 (0.326) Data 0.001 (0.001) Loss 1.5647 (1.5702) Prec@1 64.844 (64.040) Prec@5 85.938 (84.100) Epoch: [60][3220/10010] Time 0.342 (0.326) Data 0.001 (0.001) Loss 1.5843 (1.5701) Prec@1 67.188 (64.044) Prec@5 85.938 (84.100) Epoch: [60][3230/10010] Time 0.338 (0.326) Data 0.000 (0.001) Loss 1.6537 (1.5700) Prec@1 62.500 (64.048) Prec@5 84.375 (84.103) Epoch: [60][3240/10010] Time 0.338 (0.326) Data 0.001 (0.001) Loss 1.3627 (1.5700) Prec@1 67.969 (64.051) Prec@5 88.281 (84.105) Epoch: [60][3250/10010] Time 0.331 (0.326) Data 0.001 (0.001) Loss 1.4567 (1.5695) Prec@1 67.969 (64.064) Prec@5 86.719 (84.111) Epoch: [60][3260/10010] Time 0.319 (0.326) Data 0.000 (0.001) Loss 1.5063 (1.5694) Prec@1 64.062 (64.066) Prec@5 82.031 (84.112) Epoch: [60][3270/10010] Time 0.329 (0.326) Data 0.001 (0.001) Loss 1.4640 (1.5692) Prec@1 60.938 (64.069) Prec@5 84.375 (84.117) Epoch: [60][3280/10010] Time 0.314 (0.326) Data 0.001 (0.001) Loss 1.4801 (1.5690) Prec@1 71.094 (64.073) Prec@5 85.156 (84.118) Epoch: [60][3290/10010] Time 0.339 (0.326) Data 0.000 (0.001) Loss 1.5105 (1.5689) Prec@1 64.062 (64.072) Prec@5 82.812 (84.117) Epoch: [60][3300/10010] Time 0.340 (0.326) Data 0.000 (0.001) Loss 1.3744 (1.5689) Prec@1 67.188 (64.071) Prec@5 85.938 (84.117) Epoch: [60][3310/10010] Time 0.316 (0.326) Data 0.001 (0.001) Loss 1.4138 (1.5689) Prec@1 67.969 (64.072) Prec@5 84.375 (84.118) Epoch: [60][3320/10010] Time 0.315 (0.326) Data 0.000 (0.001) Loss 1.5956 (1.5690) Prec@1 71.094 (64.076) Prec@5 83.594 (84.119) Epoch: [60][3330/10010] Time 0.335 (0.326) Data 0.001 (0.001) Loss 1.1316 (1.5690) Prec@1 75.781 (64.079) Prec@5 91.406 (84.119) Epoch: [60][3340/10010] Time 0.320 (0.326) Data 0.001 (0.001) Loss 1.5873 (1.5686) Prec@1 63.281 (64.084) Prec@5 82.812 (84.123) Epoch: [60][3350/10010] Time 0.319 (0.326) Data 0.001 (0.001) Loss 1.6203 (1.5685) Prec@1 63.281 (64.089) Prec@5 80.469 (84.127) Epoch: [60][3360/10010] Time 0.332 (0.326) Data 0.001 (0.001) Loss 1.6606 (1.5685) Prec@1 64.062 (64.089) Prec@5 80.469 (84.125) Epoch: [60][3370/10010] Time 0.327 (0.326) Data 0.001 (0.001) Loss 1.5260 (1.5684) Prec@1 66.406 (64.089) Prec@5 85.156 (84.124) Epoch: [60][3380/10010] Time 0.330 (0.326) Data 0.001 (0.001) Loss 1.5294 (1.5686) Prec@1 61.719 (64.087) Prec@5 84.375 (84.123) Epoch: [60][3390/10010] Time 0.312 (0.326) Data 0.001 (0.001) Loss 1.4657 (1.5688) Prec@1 67.969 (64.083) Prec@5 85.156 (84.120) Epoch: [60][3400/10010] Time 0.326 (0.326) Data 0.001 (0.001) Loss 1.4501 (1.5688) Prec@1 67.969 (64.082) Prec@5 85.938 (84.121) Epoch: [60][3410/10010] Time 0.324 (0.326) Data 0.001 (0.001) Loss 1.5889 (1.5686) Prec@1 66.406 (64.087) Prec@5 82.031 (84.124) Epoch: [60][3420/10010] Time 0.337 (0.326) Data 0.001 (0.001) Loss 1.4628 (1.5683) Prec@1 67.969 (64.099) Prec@5 84.375 (84.126) Epoch: [60][3430/10010] Time 0.329 (0.326) Data 0.000 (0.001) Loss 1.6248 (1.5681) Prec@1 61.719 (64.101) Prec@5 82.031 (84.131) Epoch: [60][3440/10010] Time 0.331 (0.326) Data 0.001 (0.001) Loss 1.5372 (1.5681) Prec@1 67.188 (64.101) Prec@5 83.594 (84.132) Epoch: [60][3450/10010] Time 0.322 (0.326) Data 0.000 (0.001) Loss 1.3607 (1.5679) Prec@1 62.500 (64.104) Prec@5 85.938 (84.131) Epoch: [60][3460/10010] Time 0.316 (0.326) Data 0.001 (0.001) Loss 1.4235 (1.5678) Prec@1 67.188 (64.106) Prec@5 84.375 (84.131) Epoch: [60][3470/10010] Time 0.324 (0.326) Data 0.001 (0.001) Loss 1.4240 (1.5675) Prec@1 67.969 (64.111) Prec@5 85.938 (84.136) Epoch: [60][3480/10010] Time 0.326 (0.326) Data 0.001 (0.001) Loss 1.7987 (1.5674) Prec@1 57.031 (64.113) Prec@5 78.906 (84.134) Epoch: [60][3490/10010] Time 0.329 (0.326) Data 0.001 (0.001) Loss 1.1284 (1.5673) Prec@1 69.531 (64.118) Prec@5 89.844 (84.134) Epoch: [60][3500/10010] Time 0.319 (0.326) Data 0.001 (0.001) Loss 1.6470 (1.5670) Prec@1 64.062 (64.122) Prec@5 82.812 (84.138) Epoch: [60][3510/10010] Time 0.338 (0.326) Data 0.001 (0.001) Loss 1.2740 (1.5668) Prec@1 71.094 (64.125) Prec@5 89.844 (84.141) Epoch: [60][3520/10010] Time 0.313 (0.326) Data 0.001 (0.001) Loss 1.5254 (1.5670) Prec@1 62.500 (64.123) Prec@5 85.938 (84.137) Epoch: [60][3530/10010] Time 0.329 (0.326) Data 0.001 (0.001) Loss 1.5854 (1.5670) Prec@1 64.844 (64.124) Prec@5 84.375 (84.137) Epoch: [60][3540/10010] Time 0.324 (0.326) Data 0.000 (0.001) Loss 1.6170 (1.5669) Prec@1 60.938 (64.125) Prec@5 80.469 (84.136) Epoch: [60][3550/10010] Time 0.341 (0.326) Data 0.001 (0.001) Loss 1.3768 (1.5666) Prec@1 65.625 (64.131) Prec@5 86.719 (84.142) Epoch: [60][3560/10010] Time 0.325 (0.326) Data 0.000 (0.001) Loss 1.4253 (1.5663) Prec@1 66.406 (64.137) Prec@5 85.938 (84.147) Epoch: [60][3570/10010] Time 0.317 (0.326) Data 0.001 (0.001) Loss 1.3498 (1.5661) Prec@1 68.750 (64.140) Prec@5 86.719 (84.151) Epoch: [60][3580/10010] Time 0.338 (0.326) Data 0.001 (0.001) Loss 1.6801 (1.5660) Prec@1 64.844 (64.142) Prec@5 84.375 (84.153) Epoch: [60][3590/10010] Time 0.318 (0.326) Data 0.000 (0.001) Loss 1.4143 (1.5661) Prec@1 67.969 (64.143) Prec@5 88.281 (84.151) Epoch: [60][3600/10010] Time 0.324 (0.326) Data 0.001 (0.001) Loss 1.3944 (1.5660) Prec@1 67.188 (64.145) Prec@5 89.844 (84.153) Epoch: [60][3610/10010] Time 0.321 (0.326) Data 0.001 (0.001) Loss 1.5769 (1.5659) Prec@1 64.844 (64.146) Prec@5 85.156 (84.156) Epoch: [60][3620/10010] Time 0.316 (0.326) Data 0.001 (0.001) Loss 1.2105 (1.5658) Prec@1 69.531 (64.148) Prec@5 87.500 (84.158) Epoch: [60][3630/10010] Time 0.331 (0.326) Data 0.000 (0.001) Loss 1.5763 (1.5656) Prec@1 62.500 (64.150) Prec@5 82.812 (84.160) Epoch: [60][3640/10010] Time 0.314 (0.326) Data 0.001 (0.001) Loss 1.6936 (1.5655) Prec@1 66.406 (64.154) Prec@5 81.250 (84.160) Epoch: [60][3650/10010] Time 0.315 (0.326) Data 0.001 (0.001) Loss 1.7996 (1.5654) Prec@1 60.938 (64.157) Prec@5 78.906 (84.159) Epoch: [60][3660/10010] Time 0.323 (0.326) Data 0.001 (0.001) Loss 1.6346 (1.5651) Prec@1 61.719 (64.160) Prec@5 82.812 (84.159) Epoch: [60][3670/10010] Time 0.334 (0.326) Data 0.000 (0.001) Loss 1.2398 (1.5647) Prec@1 71.094 (64.171) Prec@5 87.500 (84.163) Epoch: [60][3680/10010] Time 0.323 (0.326) Data 0.000 (0.001) Loss 1.4812 (1.5648) Prec@1 64.844 (64.172) Prec@5 84.375 (84.160) Epoch: [60][3690/10010] Time 0.339 (0.326) Data 0.001 (0.001) Loss 1.5615 (1.5648) Prec@1 68.750 (64.170) Prec@5 82.031 (84.159) Epoch: [60][3700/10010] Time 0.321 (0.326) Data 0.000 (0.001) Loss 1.6242 (1.5646) Prec@1 64.062 (64.176) Prec@5 82.031 (84.161) Epoch: [60][3710/10010] Time 0.340 (0.326) Data 0.001 (0.001) Loss 1.5149 (1.5645) Prec@1 61.719 (64.179) Prec@5 85.938 (84.162) Epoch: [60][3720/10010] Time 0.331 (0.326) Data 0.001 (0.001) Loss 1.4733 (1.5644) Prec@1 68.750 (64.180) Prec@5 82.812 (84.161) Epoch: [60][3730/10010] Time 0.321 (0.326) Data 0.001 (0.001) Loss 1.5262 (1.5646) Prec@1 67.188 (64.178) Prec@5 85.938 (84.158) Epoch: [60][3740/10010] Time 0.335 (0.326) Data 0.001 (0.001) Loss 1.4376 (1.5645) Prec@1 67.969 (64.181) Prec@5 84.375 (84.158) Epoch: [60][3750/10010] Time 0.328 (0.326) Data 0.001 (0.001) Loss 1.6130 (1.5645) Prec@1 65.625 (64.183) Prec@5 82.812 (84.157) Epoch: [60][3760/10010] Time 0.335 (0.326) Data 0.001 (0.001) Loss 1.4947 (1.5643) Prec@1 67.969 (64.185) Prec@5 87.500 (84.158) Epoch: [60][3770/10010] Time 0.323 (0.326) Data 0.001 (0.001) Loss 1.3727 (1.5641) Prec@1 72.656 (64.189) Prec@5 84.375 (84.162) Epoch: [60][3780/10010] Time 0.316 (0.326) Data 0.001 (0.001) Loss 1.5474 (1.5643) Prec@1 63.281 (64.184) Prec@5 85.156 (84.158) Epoch: [60][3790/10010] Time 0.318 (0.326) Data 0.001 (0.001) Loss 1.6687 (1.5643) Prec@1 60.938 (64.181) Prec@5 79.688 (84.160) Epoch: [60][3800/10010] Time 0.335 (0.326) Data 0.000 (0.001) Loss 1.7710 (1.5641) Prec@1 64.062 (64.184) Prec@5 81.250 (84.162) Epoch: [60][3810/10010] Time 0.342 (0.326) Data 0.000 (0.001) Loss 1.5341 (1.5641) Prec@1 63.281 (64.183) Prec@5 84.375 (84.161) Epoch: [60][3820/10010] Time 0.316 (0.326) Data 0.001 (0.001) Loss 1.4182 (1.5643) Prec@1 63.281 (64.181) Prec@5 86.719 (84.158) Epoch: [60][3830/10010] Time 0.333 (0.326) Data 0.001 (0.001) Loss 1.4286 (1.5644) Prec@1 67.188 (64.183) Prec@5 85.156 (84.158) Epoch: [60][3840/10010] Time 0.320 (0.326) Data 0.000 (0.001) Loss 1.3505 (1.5644) Prec@1 71.094 (64.184) Prec@5 89.062 (84.155) Epoch: [60][3850/10010] Time 0.321 (0.326) Data 0.000 (0.001) Loss 1.7528 (1.5644) Prec@1 64.062 (64.187) Prec@5 82.031 (84.154) Epoch: [60][3860/10010] Time 0.318 (0.326) Data 0.001 (0.001) Loss 1.4588 (1.5641) Prec@1 66.406 (64.193) Prec@5 87.500 (84.161) Epoch: [60][3870/10010] Time 0.326 (0.326) Data 0.001 (0.001) Loss 1.4455 (1.5638) Prec@1 66.406 (64.199) Prec@5 86.719 (84.167) Epoch: [60][3880/10010] Time 0.323 (0.326) Data 0.001 (0.001) Loss 1.5966 (1.5638) Prec@1 61.719 (64.198) Prec@5 81.250 (84.169) Epoch: [60][3890/10010] Time 0.331 (0.326) Data 0.001 (0.001) Loss 1.3214 (1.5633) Prec@1 68.750 (64.207) Prec@5 86.719 (84.175) Epoch: [60][3900/10010] Time 0.328 (0.326) Data 0.001 (0.001) Loss 1.4730 (1.5633) Prec@1 64.062 (64.209) Prec@5 86.719 (84.173) Epoch: [60][3910/10010] Time 0.324 (0.326) Data 0.001 (0.001) Loss 1.2779 (1.5630) Prec@1 71.875 (64.212) Prec@5 85.156 (84.178) Epoch: [60][3920/10010] Time 0.334 (0.326) Data 0.000 (0.001) Loss 1.6143 (1.5630) Prec@1 64.844 (64.211) Prec@5 84.375 (84.178) Epoch: [60][3930/10010] Time 0.323 (0.326) Data 0.000 (0.001) Loss 1.4555 (1.5631) Prec@1 67.969 (64.210) Prec@5 89.844 (84.180) Epoch: [60][3940/10010] Time 0.311 (0.326) Data 0.001 (0.001) Loss 1.5762 (1.5632) Prec@1 64.062 (64.209) Prec@5 82.812 (84.177) Epoch: [60][3950/10010] Time 0.316 (0.326) Data 0.001 (0.001) Loss 1.5743 (1.5632) Prec@1 66.406 (64.209) Prec@5 83.594 (84.175) Epoch: [60][3960/10010] Time 0.310 (0.326) Data 0.001 (0.001) Loss 1.4414 (1.5630) Prec@1 64.844 (64.211) Prec@5 86.719 (84.179) Epoch: [60][3970/10010] Time 0.325 (0.326) Data 0.001 (0.001) Loss 1.3744 (1.5627) Prec@1 68.750 (64.219) Prec@5 89.062 (84.182) Epoch: [60][3980/10010] Time 0.316 (0.326) Data 0.001 (0.001) Loss 1.3244 (1.5626) Prec@1 69.531 (64.220) Prec@5 86.719 (84.182) Epoch: [60][3990/10010] Time 0.321 (0.326) Data 0.001 (0.001) Loss 1.7445 (1.5625) Prec@1 55.469 (64.225) Prec@5 85.938 (84.185) Epoch: [60][4000/10010] Time 0.314 (0.326) Data 0.001 (0.001) Loss 1.6330 (1.5623) Prec@1 63.281 (64.226) Prec@5 84.375 (84.187) Epoch: [60][4010/10010] Time 0.325 (0.326) Data 0.000 (0.001) Loss 1.4472 (1.5621) Prec@1 60.156 (64.226) Prec@5 82.812 (84.193) Epoch: [60][4020/10010] Time 0.319 (0.326) Data 0.000 (0.001) Loss 1.6493 (1.5622) Prec@1 60.156 (64.228) Prec@5 82.812 (84.191) Epoch: [60][4030/10010] Time 0.325 (0.326) Data 0.001 (0.001) Loss 1.4807 (1.5620) Prec@1 65.625 (64.229) Prec@5 81.250 (84.192) Epoch: [60][4040/10010] Time 0.319 (0.326) Data 0.001 (0.001) Loss 1.3449 (1.5620) Prec@1 69.531 (64.231) Prec@5 85.938 (84.192) Epoch: [60][4050/10010] Time 0.331 (0.326) Data 0.000 (0.001) Loss 1.4072 (1.5621) Prec@1 64.062 (64.227) Prec@5 84.375 (84.188) Epoch: [60][4060/10010] Time 0.327 (0.326) Data 0.001 (0.001) Loss 1.5470 (1.5620) Prec@1 66.406 (64.224) Prec@5 84.375 (84.188) Epoch: [60][4070/10010] Time 0.328 (0.326) Data 0.001 (0.001) Loss 1.4086 (1.5618) Prec@1 67.969 (64.228) Prec@5 85.938 (84.188) Epoch: [60][4080/10010] Time 0.317 (0.326) Data 0.001 (0.001) Loss 1.6939 (1.5618) Prec@1 57.812 (64.227) Prec@5 81.250 (84.193) Epoch: [60][4090/10010] Time 0.338 (0.326) Data 0.000 (0.001) Loss 1.6893 (1.5618) Prec@1 64.062 (64.227) Prec@5 83.594 (84.189) Epoch: [60][4100/10010] Time 0.333 (0.326) Data 0.001 (0.001) Loss 1.5072 (1.5617) Prec@1 66.406 (64.234) Prec@5 83.594 (84.192) Epoch: [60][4110/10010] Time 0.331 (0.326) Data 0.003 (0.001) Loss 1.3227 (1.5615) Prec@1 71.875 (64.240) Prec@5 89.062 (84.194) Epoch: [60][4120/10010] Time 0.340 (0.326) Data 0.000 (0.001) Loss 1.5664 (1.5614) Prec@1 62.500 (64.241) Prec@5 84.375 (84.193) Epoch: [60][4130/10010] Time 0.337 (0.326) Data 0.001 (0.001) Loss 1.6351 (1.5614) Prec@1 61.719 (64.242) Prec@5 85.156 (84.195) Epoch: [60][4140/10010] Time 0.323 (0.326) Data 0.001 (0.001) Loss 1.3007 (1.5614) Prec@1 72.656 (64.245) Prec@5 87.500 (84.196) Epoch: [60][4150/10010] Time 0.317 (0.326) Data 0.001 (0.001) Loss 1.3509 (1.5613) Prec@1 65.625 (64.246) Prec@5 88.281 (84.198) Epoch: [60][4160/10010] Time 0.311 (0.326) Data 0.000 (0.001) Loss 1.4579 (1.5611) Prec@1 65.625 (64.247) Prec@5 84.375 (84.202) Epoch: [60][4170/10010] Time 0.314 (0.326) Data 0.001 (0.001) Loss 1.4363 (1.5609) Prec@1 71.094 (64.252) Prec@5 82.812 (84.202) Epoch: [60][4180/10010] Time 0.316 (0.326) Data 0.001 (0.001) Loss 1.4276 (1.5609) Prec@1 69.531 (64.256) Prec@5 85.938 (84.203) Epoch: [60][4190/10010] Time 0.307 (0.326) Data 0.000 (0.001) Loss 1.7236 (1.5609) Prec@1 64.844 (64.260) Prec@5 78.125 (84.202) Epoch: [60][4200/10010] Time 0.324 (0.326) Data 0.001 (0.001) Loss 1.2883 (1.5609) Prec@1 69.531 (64.261) Prec@5 86.719 (84.202) Epoch: [60][4210/10010] Time 0.325 (0.326) Data 0.001 (0.001) Loss 1.4839 (1.5610) Prec@1 62.500 (64.255) Prec@5 89.062 (84.199) Epoch: [60][4220/10010] Time 0.317 (0.326) Data 0.000 (0.001) Loss 1.2363 (1.5611) Prec@1 71.094 (64.253) Prec@5 87.500 (84.198) Epoch: [60][4230/10010] Time 0.334 (0.326) Data 0.001 (0.001) Loss 1.5575 (1.5609) Prec@1 67.969 (64.259) Prec@5 85.156 (84.199) Epoch: [60][4240/10010] Time 0.311 (0.326) Data 0.001 (0.001) Loss 1.5287 (1.5609) Prec@1 60.938 (64.260) Prec@5 85.938 (84.198) Epoch: [60][4250/10010] Time 0.331 (0.326) Data 0.001 (0.001) Loss 1.1710 (1.5607) Prec@1 69.531 (64.263) Prec@5 91.406 (84.200) Epoch: [60][4260/10010] Time 0.331 (0.326) Data 0.001 (0.001) Loss 1.3720 (1.5606) Prec@1 68.750 (64.260) Prec@5 88.281 (84.200) Epoch: [60][4270/10010] Time 0.329 (0.326) Data 0.001 (0.001) Loss 1.6777 (1.5606) Prec@1 57.031 (64.257) Prec@5 80.469 (84.201) Epoch: [60][4280/10010] Time 0.330 (0.326) Data 0.001 (0.001) Loss 1.5623 (1.5605) Prec@1 67.188 (64.260) Prec@5 85.156 (84.202) Epoch: [60][4290/10010] Time 0.338 (0.326) Data 0.000 (0.001) Loss 1.6543 (1.5604) Prec@1 65.625 (64.261) Prec@5 82.031 (84.203) Epoch: [60][4300/10010] Time 0.320 (0.326) Data 0.001 (0.001) Loss 1.4445 (1.5604) Prec@1 67.969 (64.262) Prec@5 88.281 (84.203) Epoch: [60][4310/10010] Time 0.319 (0.326) Data 0.001 (0.001) Loss 1.7343 (1.5604) Prec@1 59.375 (64.261) Prec@5 79.688 (84.200) Epoch: [60][4320/10010] Time 0.320 (0.326) Data 0.000 (0.001) Loss 1.6290 (1.5605) Prec@1 67.188 (64.262) Prec@5 82.812 (84.199) Epoch: [60][4330/10010] Time 0.325 (0.326) Data 0.001 (0.001) Loss 1.3004 (1.5604) Prec@1 71.094 (64.261) Prec@5 85.156 (84.199) Epoch: [60][4340/10010] Time 0.330 (0.326) Data 0.001 (0.001) Loss 1.5023 (1.5603) Prec@1 62.500 (64.261) Prec@5 85.938 (84.201) Epoch: [60][4350/10010] Time 0.315 (0.326) Data 0.001 (0.001) Loss 1.3882 (1.5600) Prec@1 64.844 (64.263) Prec@5 89.062 (84.204) Epoch: [60][4360/10010] Time 0.325 (0.326) Data 0.001 (0.001) Loss 1.7229 (1.5600) Prec@1 64.062 (64.262) Prec@5 78.906 (84.202) Epoch: [60][4370/10010] Time 0.316 (0.326) Data 0.000 (0.001) Loss 1.4856 (1.5598) Prec@1 66.406 (64.260) Prec@5 83.594 (84.204) Epoch: [60][4380/10010] Time 0.324 (0.326) Data 0.000 (0.001) Loss 1.6357 (1.5596) Prec@1 63.281 (64.264) Prec@5 82.031 (84.207) Epoch: [60][4390/10010] Time 0.314 (0.326) Data 0.001 (0.001) Loss 1.0559 (1.5597) Prec@1 79.688 (64.264) Prec@5 89.062 (84.206) Epoch: [60][4400/10010] Time 0.321 (0.326) Data 0.000 (0.001) Loss 1.5353 (1.5597) Prec@1 65.625 (64.264) Prec@5 82.031 (84.205) Epoch: [60][4410/10010] Time 0.333 (0.326) Data 0.000 (0.001) Loss 1.6049 (1.5595) Prec@1 60.938 (64.266) Prec@5 82.812 (84.209) Epoch: [60][4420/10010] Time 0.325 (0.326) Data 0.001 (0.001) Loss 1.7513 (1.5593) Prec@1 60.938 (64.273) Prec@5 79.688 (84.212) Epoch: [60][4430/10010] Time 0.306 (0.326) Data 0.001 (0.001) Loss 1.4428 (1.5594) Prec@1 68.750 (64.275) Prec@5 88.281 (84.211) Epoch: [60][4440/10010] Time 0.313 (0.326) Data 0.000 (0.001) Loss 1.4707 (1.5594) Prec@1 70.312 (64.275) Prec@5 84.375 (84.210) Epoch: [60][4450/10010] Time 0.321 (0.326) Data 0.001 (0.001) Loss 1.7391 (1.5593) Prec@1 66.406 (64.278) Prec@5 82.812 (84.211) Epoch: [60][4460/10010] Time 0.336 (0.326) Data 0.000 (0.001) Loss 1.6297 (1.5590) Prec@1 60.938 (64.281) Prec@5 83.594 (84.213) Epoch: [60][4470/10010] Time 0.326 (0.326) Data 0.000 (0.001) Loss 1.4471 (1.5589) Prec@1 64.062 (64.284) Prec@5 87.500 (84.212) Epoch: [60][4480/10010] Time 0.329 (0.326) Data 0.000 (0.001) Loss 1.8178 (1.5590) Prec@1 59.375 (64.283) Prec@5 79.688 (84.211) Epoch: [60][4490/10010] Time 0.325 (0.326) Data 0.001 (0.001) Loss 1.7042 (1.5587) Prec@1 63.281 (64.288) Prec@5 80.469 (84.212) Epoch: [60][4500/10010] Time 0.341 (0.326) Data 0.000 (0.001) Loss 1.5702 (1.5585) Prec@1 57.031 (64.290) Prec@5 84.375 (84.214) Epoch: [60][4510/10010] Time 0.329 (0.326) Data 0.001 (0.001) Loss 1.6016 (1.5585) Prec@1 64.062 (64.291) Prec@5 82.031 (84.212) Epoch: [60][4520/10010] Time 0.330 (0.326) Data 0.001 (0.001) Loss 1.3240 (1.5584) Prec@1 73.438 (64.291) Prec@5 85.938 (84.214) Epoch: [60][4530/10010] Time 0.322 (0.326) Data 0.001 (0.001) Loss 1.5747 (1.5584) Prec@1 61.719 (64.291) Prec@5 82.031 (84.213) Epoch: [60][4540/10010] Time 0.329 (0.326) Data 0.000 (0.001) Loss 1.3769 (1.5581) Prec@1 67.969 (64.294) Prec@5 85.156 (84.218) Epoch: [60][4550/10010] Time 0.317 (0.326) Data 0.001 (0.001) Loss 1.8373 (1.5581) Prec@1 56.250 (64.294) Prec@5 77.344 (84.216) Epoch: [60][4560/10010] Time 0.329 (0.326) Data 0.001 (0.001) Loss 1.7020 (1.5581) Prec@1 67.969 (64.295) Prec@5 80.469 (84.215) Epoch: [60][4570/10010] Time 0.321 (0.326) Data 0.000 (0.001) Loss 1.2554 (1.5580) Prec@1 71.094 (64.298) Prec@5 88.281 (84.216) Epoch: [60][4580/10010] Time 0.331 (0.326) Data 0.001 (0.001) Loss 1.6166 (1.5579) Prec@1 63.281 (64.300) Prec@5 81.250 (84.215) Epoch: [60][4590/10010] Time 0.338 (0.326) Data 0.001 (0.001) Loss 1.6033 (1.5579) Prec@1 64.844 (64.301) Prec@5 81.250 (84.212) Epoch: [60][4600/10010] Time 0.336 (0.326) Data 0.001 (0.001) Loss 1.3461 (1.5577) Prec@1 65.625 (64.302) Prec@5 88.281 (84.217) Epoch: [60][4610/10010] Time 0.341 (0.326) Data 0.000 (0.001) Loss 1.4133 (1.5576) Prec@1 66.406 (64.304) Prec@5 87.500 (84.220) Epoch: [60][4620/10010] Time 0.329 (0.326) Data 0.001 (0.001) Loss 1.8319 (1.5574) Prec@1 56.250 (64.308) Prec@5 76.562 (84.221) Epoch: [60][4630/10010] Time 0.329 (0.326) Data 0.001 (0.001) Loss 1.3325 (1.5574) Prec@1 67.969 (64.310) Prec@5 86.719 (84.221) Epoch: [60][4640/10010] Time 0.322 (0.326) Data 0.000 (0.001) Loss 1.5537 (1.5573) Prec@1 67.188 (64.314) Prec@5 82.812 (84.223) Epoch: [60][4650/10010] Time 0.341 (0.326) Data 0.001 (0.001) Loss 1.4400 (1.5570) Prec@1 67.969 (64.322) Prec@5 84.375 (84.227) Epoch: [60][4660/10010] Time 0.319 (0.326) Data 0.001 (0.001) Loss 1.3052 (1.5568) Prec@1 70.312 (64.327) Prec@5 88.281 (84.228) Epoch: [60][4670/10010] Time 0.316 (0.326) Data 0.001 (0.001) Loss 1.7175 (1.5567) Prec@1 59.375 (64.330) Prec@5 80.469 (84.229) Epoch: [60][4680/10010] Time 0.348 (0.326) Data 0.000 (0.001) Loss 1.2083 (1.5565) Prec@1 72.656 (64.334) Prec@5 89.062 (84.231) Epoch: [60][4690/10010] Time 0.336 (0.326) Data 0.000 (0.001) Loss 1.5435 (1.5564) Prec@1 64.844 (64.336) Prec@5 82.031 (84.231) Epoch: [60][4700/10010] Time 0.326 (0.326) Data 0.001 (0.001) Loss 1.3375 (1.5562) Prec@1 68.750 (64.339) Prec@5 89.062 (84.234) Epoch: [60][4710/10010] Time 0.337 (0.326) Data 0.001 (0.001) Loss 1.3213 (1.5560) Prec@1 67.969 (64.344) Prec@5 85.156 (84.240) Epoch: [60][4720/10010] Time 0.330 (0.326) Data 0.000 (0.001) Loss 1.5262 (1.5559) Prec@1 63.281 (64.345) Prec@5 82.031 (84.241) Epoch: [60][4730/10010] Time 0.327 (0.326) Data 0.001 (0.001) Loss 1.4062 (1.5558) Prec@1 68.750 (64.346) Prec@5 87.500 (84.244) Epoch: [60][4740/10010] Time 0.337 (0.326) Data 0.001 (0.001) Loss 1.6106 (1.5556) Prec@1 65.625 (64.350) Prec@5 83.594 (84.247) Epoch: [60][4750/10010] Time 0.307 (0.326) Data 0.001 (0.001) Loss 1.6008 (1.5556) Prec@1 63.281 (64.349) Prec@5 84.375 (84.247) Epoch: [60][4760/10010] Time 0.335 (0.326) Data 0.001 (0.001) Loss 1.4682 (1.5553) Prec@1 65.625 (64.357) Prec@5 84.375 (84.253) Epoch: [60][4770/10010] Time 0.331 (0.326) Data 0.001 (0.001) Loss 1.6860 (1.5552) Prec@1 61.719 (64.362) Prec@5 82.031 (84.254) Epoch: [60][4780/10010] Time 0.323 (0.326) Data 0.000 (0.001) Loss 1.5100 (1.5551) Prec@1 64.844 (64.366) Prec@5 84.375 (84.255) Epoch: [60][4790/10010] Time 0.338 (0.326) Data 0.001 (0.001) Loss 1.5794 (1.5550) Prec@1 60.938 (64.369) Prec@5 87.500 (84.258) Epoch: [60][4800/10010] Time 0.319 (0.326) Data 0.001 (0.001) Loss 1.4218 (1.5549) Prec@1 64.844 (64.369) Prec@5 84.375 (84.259) Epoch: [60][4810/10010] Time 0.317 (0.326) Data 0.001 (0.001) Loss 1.4315 (1.5548) Prec@1 67.969 (64.371) Prec@5 89.062 (84.263) Epoch: [60][4820/10010] Time 0.333 (0.326) Data 0.001 (0.001) Loss 1.2846 (1.5547) Prec@1 71.094 (64.373) Prec@5 91.406 (84.266) Epoch: [60][4830/10010] Time 0.335 (0.326) Data 0.001 (0.001) Loss 1.3117 (1.5547) Prec@1 66.406 (64.372) Prec@5 89.062 (84.267) Epoch: [60][4840/10010] Time 0.326 (0.326) Data 0.000 (0.001) Loss 1.1901 (1.5545) Prec@1 75.000 (64.376) Prec@5 90.625 (84.273) Epoch: [60][4850/10010] Time 0.317 (0.326) Data 0.001 (0.001) Loss 1.5188 (1.5546) Prec@1 67.969 (64.376) Prec@5 88.281 (84.272) Epoch: [60][4860/10010] Time 0.312 (0.326) Data 0.001 (0.001) Loss 1.6160 (1.5545) Prec@1 63.281 (64.378) Prec@5 81.250 (84.272) Epoch: [60][4870/10010] Time 0.334 (0.326) Data 0.000 (0.001) Loss 1.6396 (1.5545) Prec@1 61.719 (64.378) Prec@5 84.375 (84.273) Epoch: [60][4880/10010] Time 0.323 (0.326) Data 0.000 (0.001) Loss 1.7380 (1.5545) Prec@1 59.375 (64.379) Prec@5 82.812 (84.272) Epoch: [60][4890/10010] Time 0.336 (0.326) Data 0.000 (0.001) Loss 1.3181 (1.5544) Prec@1 70.312 (64.379) Prec@5 88.281 (84.273) Epoch: [60][4900/10010] Time 0.333 (0.326) Data 0.001 (0.001) Loss 1.8383 (1.5542) Prec@1 57.812 (64.381) Prec@5 80.469 (84.275) Epoch: [60][4910/10010] Time 0.314 (0.326) Data 0.001 (0.001) Loss 1.3824 (1.5541) Prec@1 71.094 (64.383) Prec@5 84.375 (84.275) Epoch: [60][4920/10010] Time 0.318 (0.326) Data 0.000 (0.001) Loss 1.3218 (1.5540) Prec@1 71.094 (64.389) Prec@5 85.156 (84.276) Epoch: [60][4930/10010] Time 0.324 (0.326) Data 0.001 (0.001) Loss 1.6561 (1.5540) Prec@1 63.281 (64.392) Prec@5 80.469 (84.277) Epoch: [60][4940/10010] Time 0.320 (0.326) Data 0.001 (0.001) Loss 1.6881 (1.5539) Prec@1 64.062 (64.392) Prec@5 80.469 (84.277) Epoch: [60][4950/10010] Time 0.322 (0.326) Data 0.000 (0.001) Loss 1.3147 (1.5539) Prec@1 69.531 (64.393) Prec@5 88.281 (84.277) Epoch: [60][4960/10010] Time 0.316 (0.326) Data 0.001 (0.001) Loss 1.6493 (1.5538) Prec@1 60.938 (64.396) Prec@5 82.812 (84.280) Epoch: [60][4970/10010] Time 0.315 (0.326) Data 0.001 (0.001) Loss 1.6268 (1.5538) Prec@1 66.406 (64.392) Prec@5 85.156 (84.281) Epoch: [60][4980/10010] Time 0.335 (0.326) Data 0.001 (0.001) Loss 1.5541 (1.5537) Prec@1 62.500 (64.393) Prec@5 86.719 (84.281) Epoch: [60][4990/10010] Time 0.337 (0.326) Data 0.001 (0.001) Loss 1.2765 (1.5536) Prec@1 67.188 (64.395) Prec@5 88.281 (84.282) Epoch: [60][5000/10010] Time 0.313 (0.326) Data 0.001 (0.001) Loss 1.5991 (1.5536) Prec@1 64.062 (64.398) Prec@5 85.938 (84.283) Epoch: [60][5010/10010] Time 0.330 (0.326) Data 0.001 (0.001) Loss 1.7131 (1.5535) Prec@1 59.375 (64.398) Prec@5 80.469 (84.285) Epoch: [60][5020/10010] Time 0.337 (0.326) Data 0.000 (0.001) Loss 1.3857 (1.5534) Prec@1 63.281 (64.399) Prec@5 89.062 (84.288) Epoch: [60][5030/10010] Time 0.336 (0.326) Data 0.000 (0.001) Loss 1.6122 (1.5533) Prec@1 60.938 (64.401) Prec@5 84.375 (84.288) Epoch: [60][5040/10010] Time 0.320 (0.326) Data 0.000 (0.001) Loss 1.5692 (1.5533) Prec@1 69.531 (64.402) Prec@5 88.281 (84.289) Epoch: [60][5050/10010] Time 0.317 (0.326) Data 0.000 (0.001) Loss 1.8234 (1.5531) Prec@1 63.281 (64.407) Prec@5 77.344 (84.291) Epoch: [60][5060/10010] Time 0.314 (0.326) Data 0.001 (0.001) Loss 1.2239 (1.5530) Prec@1 71.875 (64.411) Prec@5 92.188 (84.293) Epoch: [60][5070/10010] Time 0.325 (0.326) Data 0.001 (0.001) Loss 1.5717 (1.5530) Prec@1 61.719 (64.411) Prec@5 85.938 (84.293) Epoch: [60][5080/10010] Time 0.323 (0.326) Data 0.001 (0.001) Loss 1.6257 (1.5530) Prec@1 61.719 (64.413) Prec@5 85.156 (84.295) Epoch: [60][5090/10010] Time 0.342 (0.326) Data 0.001 (0.001) Loss 1.6251 (1.5528) Prec@1 60.156 (64.416) Prec@5 80.469 (84.297) Epoch: [60][5100/10010] Time 0.335 (0.326) Data 0.000 (0.001) Loss 1.5515 (1.5527) Prec@1 63.281 (64.417) Prec@5 82.812 (84.300) Epoch: [60][5110/10010] Time 0.333 (0.326) Data 0.001 (0.001) Loss 1.4663 (1.5524) Prec@1 64.844 (64.421) Prec@5 85.156 (84.304) Epoch: [60][5120/10010] Time 0.334 (0.326) Data 0.000 (0.001) Loss 1.3111 (1.5522) Prec@1 69.531 (64.424) Prec@5 85.938 (84.306) Epoch: [60][5130/10010] Time 0.315 (0.326) Data 0.001 (0.001) Loss 1.6211 (1.5522) Prec@1 62.500 (64.425) Prec@5 83.594 (84.305) Epoch: [60][5140/10010] Time 0.324 (0.326) Data 0.001 (0.001) Loss 1.7155 (1.5520) Prec@1 63.281 (64.430) Prec@5 83.594 (84.308) Epoch: [60][5150/10010] Time 0.334 (0.326) Data 0.001 (0.001) Loss 1.4189 (1.5522) Prec@1 68.750 (64.428) Prec@5 85.156 (84.308) Epoch: [60][5160/10010] Time 0.333 (0.326) Data 0.000 (0.001) Loss 1.4847 (1.5521) Prec@1 66.406 (64.425) Prec@5 85.938 (84.309) Epoch: [60][5170/10010] Time 0.320 (0.326) Data 0.000 (0.001) Loss 1.3275 (1.5521) Prec@1 74.219 (64.430) Prec@5 87.500 (84.309) Epoch: [60][5180/10010] Time 0.319 (0.326) Data 0.001 (0.001) Loss 1.6090 (1.5521) Prec@1 67.188 (64.431) Prec@5 82.031 (84.309) Epoch: [60][5190/10010] Time 0.319 (0.326) Data 0.001 (0.001) Loss 1.3064 (1.5520) Prec@1 67.969 (64.435) Prec@5 85.156 (84.309) Epoch: [60][5200/10010] Time 0.328 (0.326) Data 0.000 (0.001) Loss 1.4698 (1.5520) Prec@1 67.969 (64.432) Prec@5 81.250 (84.308) Epoch: [60][5210/10010] Time 0.326 (0.326) Data 0.001 (0.001) Loss 1.2942 (1.5519) Prec@1 71.094 (64.433) Prec@5 85.938 (84.309) Epoch: [60][5220/10010] Time 0.332 (0.326) Data 0.001 (0.001) Loss 1.4679 (1.5519) Prec@1 69.531 (64.435) Prec@5 83.594 (84.311) Epoch: [60][5230/10010] Time 0.313 (0.326) Data 0.001 (0.001) Loss 1.6619 (1.5520) Prec@1 67.188 (64.435) Prec@5 83.594 (84.308) Epoch: [60][5240/10010] Time 0.330 (0.326) Data 0.000 (0.001) Loss 1.4982 (1.5521) Prec@1 61.719 (64.433) Prec@5 85.938 (84.306) Epoch: [60][5250/10010] Time 0.319 (0.326) Data 0.001 (0.001) Loss 1.5168 (1.5523) Prec@1 68.750 (64.428) Prec@5 84.375 (84.303) Epoch: [60][5260/10010] Time 0.323 (0.326) Data 0.001 (0.001) Loss 1.1941 (1.5522) Prec@1 73.438 (64.428) Prec@5 89.062 (84.305) Epoch: [60][5270/10010] Time 0.334 (0.326) Data 0.001 (0.001) Loss 1.6528 (1.5521) Prec@1 60.938 (64.429) Prec@5 84.375 (84.307) Epoch: [60][5280/10010] Time 0.321 (0.326) Data 0.001 (0.001) Loss 1.6099 (1.5520) Prec@1 63.281 (64.432) Prec@5 83.594 (84.309) Epoch: [60][5290/10010] Time 0.325 (0.326) Data 0.001 (0.001) Loss 1.8575 (1.5520) Prec@1 61.719 (64.433) Prec@5 81.250 (84.308) Epoch: [60][5300/10010] Time 0.339 (0.326) Data 0.001 (0.001) Loss 1.6589 (1.5520) Prec@1 53.125 (64.431) Prec@5 82.812 (84.309) Epoch: [60][5310/10010] Time 0.321 (0.326) Data 0.001 (0.001) Loss 1.6777 (1.5518) Prec@1 64.844 (64.437) Prec@5 80.469 (84.310) Epoch: [60][5320/10010] Time 0.329 (0.326) Data 0.001 (0.001) Loss 1.5700 (1.5518) Prec@1 62.500 (64.435) Prec@5 82.031 (84.311) Epoch: [60][5330/10010] Time 0.327 (0.326) Data 0.001 (0.001) Loss 1.7913 (1.5518) Prec@1 57.812 (64.435) Prec@5 79.688 (84.312) Epoch: [60][5340/10010] Time 0.336 (0.326) Data 0.001 (0.001) Loss 1.4974 (1.5518) Prec@1 60.156 (64.435) Prec@5 82.812 (84.311) Epoch: [60][5350/10010] Time 0.338 (0.326) Data 0.001 (0.001) Loss 1.3117 (1.5517) Prec@1 66.406 (64.439) Prec@5 92.188 (84.314) Epoch: [60][5360/10010] Time 0.320 (0.326) Data 0.001 (0.001) Loss 1.4580 (1.5517) Prec@1 63.281 (64.439) Prec@5 82.812 (84.313) Epoch: [60][5370/10010] Time 0.335 (0.326) Data 0.001 (0.001) Loss 1.5755 (1.5516) Prec@1 66.406 (64.446) Prec@5 87.500 (84.316) Epoch: [60][5380/10010] Time 0.319 (0.326) Data 0.001 (0.001) Loss 1.6168 (1.5515) Prec@1 64.062 (64.447) Prec@5 82.812 (84.316) Epoch: [60][5390/10010] Time 0.328 (0.326) Data 0.001 (0.001) Loss 1.6608 (1.5516) Prec@1 58.594 (64.445) Prec@5 79.688 (84.316) Epoch: [60][5400/10010] Time 0.327 (0.326) Data 0.000 (0.001) Loss 1.3562 (1.5514) Prec@1 68.750 (64.450) Prec@5 86.719 (84.318) Epoch: [60][5410/10010] Time 0.315 (0.326) Data 0.000 (0.001) Loss 1.6359 (1.5514) Prec@1 62.500 (64.450) Prec@5 84.375 (84.317) Epoch: [60][5420/10010] Time 0.324 (0.326) Data 0.001 (0.001) Loss 1.4075 (1.5514) Prec@1 66.406 (64.451) Prec@5 87.500 (84.319) Epoch: [60][5430/10010] Time 0.317 (0.326) Data 0.000 (0.001) Loss 1.5182 (1.5514) Prec@1 65.625 (64.452) Prec@5 84.375 (84.318) Epoch: [60][5440/10010] Time 0.322 (0.326) Data 0.001 (0.001) Loss 1.6223 (1.5513) Prec@1 59.375 (64.454) Prec@5 86.719 (84.321) Epoch: [60][5450/10010] Time 0.319 (0.326) Data 0.001 (0.001) Loss 1.5250 (1.5511) Prec@1 63.281 (64.456) Prec@5 85.938 (84.322) Epoch: [60][5460/10010] Time 0.313 (0.326) Data 0.001 (0.001) Loss 1.4031 (1.5509) Prec@1 70.312 (64.462) Prec@5 87.500 (84.324) Epoch: [60][5470/10010] Time 0.320 (0.326) Data 0.000 (0.001) Loss 1.1799 (1.5508) Prec@1 73.438 (64.465) Prec@5 89.062 (84.325) Epoch: [60][5480/10010] Time 0.336 (0.326) Data 0.001 (0.001) Loss 1.5259 (1.5506) Prec@1 59.375 (64.469) Prec@5 89.062 (84.328) Epoch: [60][5490/10010] Time 0.327 (0.326) Data 0.001 (0.001) Loss 1.9587 (1.5506) Prec@1 54.688 (64.469) Prec@5 77.344 (84.326) Epoch: [60][5500/10010] Time 0.329 (0.326) Data 0.001 (0.001) Loss 1.9673 (1.5507) Prec@1 56.250 (64.468) Prec@5 80.469 (84.326) Epoch: [60][5510/10010] Time 0.313 (0.326) Data 0.000 (0.001) Loss 1.4166 (1.5507) Prec@1 66.406 (64.469) Prec@5 88.281 (84.327) Epoch: [60][5520/10010] Time 0.316 (0.326) Data 0.001 (0.001) Loss 1.5474 (1.5506) Prec@1 64.844 (64.468) Prec@5 83.594 (84.329) Epoch: [60][5530/10010] Time 0.327 (0.326) Data 0.001 (0.001) Loss 1.5700 (1.5507) Prec@1 60.156 (64.467) Prec@5 85.938 (84.327) Epoch: [60][5540/10010] Time 0.330 (0.326) Data 0.001 (0.001) Loss 1.3828 (1.5505) Prec@1 62.500 (64.471) Prec@5 84.375 (84.329) Epoch: [60][5550/10010] Time 0.315 (0.326) Data 0.001 (0.001) Loss 1.5432 (1.5506) Prec@1 64.844 (64.471) Prec@5 85.938 (84.328) Epoch: [60][5560/10010] Time 0.316 (0.326) Data 0.001 (0.001) Loss 1.3416 (1.5504) Prec@1 66.406 (64.475) Prec@5 88.281 (84.329) Epoch: [60][5570/10010] Time 0.324 (0.326) Data 0.001 (0.001) Loss 1.3946 (1.5503) Prec@1 68.750 (64.480) Prec@5 85.938 (84.331) Epoch: [60][5580/10010] Time 0.321 (0.326) Data 0.001 (0.001) Loss 1.2553 (1.5502) Prec@1 69.531 (64.479) Prec@5 89.062 (84.333) Epoch: [60][5590/10010] Time 0.320 (0.326) Data 0.001 (0.001) Loss 1.5445 (1.5500) Prec@1 64.062 (64.485) Prec@5 84.375 (84.336) Epoch: [60][5600/10010] Time 0.333 (0.326) Data 0.000 (0.001) Loss 1.4589 (1.5500) Prec@1 63.281 (64.483) Prec@5 86.719 (84.338) Epoch: [60][5610/10010] Time 0.344 (0.326) Data 0.001 (0.001) Loss 1.8360 (1.5500) Prec@1 58.594 (64.483) Prec@5 83.594 (84.338) Epoch: [60][5620/10010] Time 0.321 (0.326) Data 0.001 (0.001) Loss 1.7702 (1.5500) Prec@1 64.062 (64.482) Prec@5 79.688 (84.336) Epoch: [60][5630/10010] Time 0.322 (0.326) Data 0.001 (0.001) Loss 1.3244 (1.5499) Prec@1 70.312 (64.484) Prec@5 89.062 (84.340) Epoch: [60][5640/10010] Time 0.318 (0.326) Data 0.001 (0.001) Loss 1.5169 (1.5499) Prec@1 62.500 (64.484) Prec@5 82.812 (84.339) Epoch: [60][5650/10010] Time 0.327 (0.326) Data 0.001 (0.001) Loss 1.5933 (1.5500) Prec@1 61.719 (64.482) Prec@5 83.594 (84.338) Epoch: [60][5660/10010] Time 0.337 (0.326) Data 0.000 (0.001) Loss 1.7361 (1.5500) Prec@1 63.281 (64.483) Prec@5 82.812 (84.338) Epoch: [60][5670/10010] Time 0.330 (0.326) Data 0.001 (0.001) Loss 1.5167 (1.5500) Prec@1 63.281 (64.484) Prec@5 83.594 (84.336) Epoch: [60][5680/10010] Time 0.332 (0.326) Data 0.000 (0.001) Loss 1.6997 (1.5500) Prec@1 65.625 (64.485) Prec@5 81.250 (84.338) Epoch: [60][5690/10010] Time 0.341 (0.326) Data 0.000 (0.001) Loss 1.6397 (1.5500) Prec@1 64.844 (64.484) Prec@5 78.906 (84.337) Epoch: [60][5700/10010] Time 0.339 (0.326) Data 0.000 (0.001) Loss 1.4278 (1.5498) Prec@1 68.750 (64.486) Prec@5 84.375 (84.340) Epoch: [60][5710/10010] Time 0.320 (0.326) Data 0.001 (0.001) Loss 1.5491 (1.5497) Prec@1 65.625 (64.490) Prec@5 84.375 (84.339) Epoch: [60][5720/10010] Time 0.336 (0.326) Data 0.001 (0.001) Loss 1.4059 (1.5495) Prec@1 64.844 (64.494) Prec@5 85.938 (84.343) Epoch: [60][5730/10010] Time 0.338 (0.326) Data 0.001 (0.001) Loss 1.2645 (1.5494) Prec@1 70.312 (64.496) Prec@5 91.406 (84.344) Epoch: [60][5740/10010] Time 0.319 (0.326) Data 0.000 (0.001) Loss 1.6320 (1.5492) Prec@1 64.844 (64.497) Prec@5 81.250 (84.348) Epoch: [60][5750/10010] Time 0.315 (0.326) Data 0.001 (0.001) Loss 1.8920 (1.5492) Prec@1 54.688 (64.499) Prec@5 78.125 (84.347) Epoch: [60][5760/10010] Time 0.317 (0.326) Data 0.001 (0.001) Loss 1.4058 (1.5492) Prec@1 61.719 (64.497) Prec@5 89.062 (84.349) Epoch: [60][5770/10010] Time 0.317 (0.326) Data 0.001 (0.001) Loss 1.3725 (1.5491) Prec@1 67.188 (64.499) Prec@5 85.938 (84.349) Epoch: [60][5780/10010] Time 0.321 (0.326) Data 0.001 (0.001) Loss 1.3915 (1.5490) Prec@1 66.406 (64.499) Prec@5 86.719 (84.350) Epoch: [60][5790/10010] Time 0.320 (0.326) Data 0.000 (0.001) Loss 1.3559 (1.5488) Prec@1 67.188 (64.503) Prec@5 89.844 (84.352) Epoch: [60][5800/10010] Time 0.329 (0.326) Data 0.001 (0.001) Loss 1.6316 (1.5488) Prec@1 65.625 (64.505) Prec@5 82.031 (84.351) Epoch: [60][5810/10010] Time 0.337 (0.326) Data 0.001 (0.001) Loss 1.8426 (1.5488) Prec@1 57.812 (64.504) Prec@5 78.906 (84.351) Epoch: [60][5820/10010] Time 0.319 (0.326) Data 0.001 (0.001) Loss 1.7334 (1.5489) Prec@1 57.812 (64.502) Prec@5 85.938 (84.350) Epoch: [60][5830/10010] Time 0.326 (0.326) Data 0.000 (0.001) Loss 1.2522 (1.5486) Prec@1 71.094 (64.507) Prec@5 85.156 (84.353) Epoch: [60][5840/10010] Time 0.342 (0.326) Data 0.001 (0.001) Loss 1.9038 (1.5484) Prec@1 55.469 (64.512) Prec@5 76.562 (84.357) Epoch: [60][5850/10010] Time 0.333 (0.326) Data 0.001 (0.001) Loss 1.5753 (1.5483) Prec@1 65.625 (64.516) Prec@5 82.031 (84.358) Epoch: [60][5860/10010] Time 0.318 (0.326) Data 0.001 (0.001) Loss 1.7309 (1.5482) Prec@1 67.969 (64.520) Prec@5 81.250 (84.359) Epoch: [60][5870/10010] Time 0.328 (0.326) Data 0.001 (0.001) Loss 1.6478 (1.5481) Prec@1 61.719 (64.523) Prec@5 80.469 (84.358) Epoch: [60][5880/10010] Time 0.319 (0.326) Data 0.000 (0.001) Loss 1.2891 (1.5479) Prec@1 70.312 (64.529) Prec@5 87.500 (84.360) Epoch: [60][5890/10010] Time 0.332 (0.326) Data 0.001 (0.001) Loss 1.7750 (1.5478) Prec@1 58.594 (64.531) Prec@5 82.031 (84.360) Epoch: [60][5900/10010] Time 0.313 (0.326) Data 0.001 (0.001) Loss 1.6790 (1.5478) Prec@1 62.500 (64.531) Prec@5 82.812 (84.358) Epoch: [60][5910/10010] Time 0.328 (0.326) Data 0.000 (0.001) Loss 1.6272 (1.5478) Prec@1 60.938 (64.531) Prec@5 84.375 (84.359) Epoch: [60][5920/10010] Time 0.339 (0.326) Data 0.000 (0.001) Loss 1.5521 (1.5478) Prec@1 65.625 (64.529) Prec@5 87.500 (84.359) Epoch: [60][5930/10010] Time 0.333 (0.326) Data 0.001 (0.001) Loss 1.4333 (1.5478) Prec@1 67.188 (64.529) Prec@5 84.375 (84.358) Epoch: [60][5940/10010] Time 0.321 (0.326) Data 0.001 (0.001) Loss 1.3851 (1.5477) Prec@1 69.531 (64.530) Prec@5 87.500 (84.361) Epoch: [60][5950/10010] Time 0.341 (0.326) Data 0.001 (0.001) Loss 1.5291 (1.5477) Prec@1 59.375 (64.530) Prec@5 85.938 (84.361) Epoch: [60][5960/10010] Time 0.320 (0.326) Data 0.000 (0.001) Loss 1.5437 (1.5477) Prec@1 65.625 (64.532) Prec@5 86.719 (84.362) Epoch: [60][5970/10010] Time 0.319 (0.326) Data 0.001 (0.001) Loss 1.5829 (1.5477) Prec@1 66.406 (64.534) Prec@5 82.031 (84.362) Epoch: [60][5980/10010] Time 0.332 (0.326) Data 0.001 (0.001) Loss 1.6149 (1.5477) Prec@1 57.031 (64.533) Prec@5 82.812 (84.361) Epoch: [60][5990/10010] Time 0.340 (0.326) Data 0.000 (0.001) Loss 1.2196 (1.5476) Prec@1 71.875 (64.535) Prec@5 87.500 (84.361) Epoch: [60][6000/10010] Time 0.335 (0.326) Data 0.000 (0.001) Loss 1.5265 (1.5477) Prec@1 61.719 (64.536) Prec@5 82.812 (84.362) Epoch: [60][6010/10010] Time 0.322 (0.326) Data 0.001 (0.001) Loss 1.4532 (1.5478) Prec@1 65.625 (64.534) Prec@5 85.156 (84.360) Epoch: [60][6020/10010] Time 0.328 (0.326) Data 0.001 (0.001) Loss 1.3559 (1.5477) Prec@1 69.531 (64.535) Prec@5 87.500 (84.361) Epoch: [60][6030/10010] Time 0.337 (0.326) Data 0.001 (0.001) Loss 1.1987 (1.5477) Prec@1 71.094 (64.535) Prec@5 88.281 (84.361) Epoch: [60][6040/10010] Time 0.336 (0.326) Data 0.001 (0.001) Loss 1.4259 (1.5475) Prec@1 65.625 (64.536) Prec@5 85.938 (84.363) Epoch: [60][6050/10010] Time 0.334 (0.326) Data 0.001 (0.001) Loss 1.7961 (1.5475) Prec@1 60.938 (64.535) Prec@5 80.469 (84.363) Epoch: [60][6060/10010] Time 0.317 (0.326) Data 0.001 (0.001) Loss 1.5817 (1.5473) Prec@1 60.156 (64.539) Prec@5 82.812 (84.365) Epoch: [60][6070/10010] Time 0.329 (0.326) Data 0.001 (0.001) Loss 1.6076 (1.5472) Prec@1 64.844 (64.540) Prec@5 80.469 (84.367) Epoch: [60][6080/10010] Time 0.339 (0.326) Data 0.001 (0.001) Loss 1.6631 (1.5471) Prec@1 63.281 (64.543) Prec@5 84.375 (84.367) Epoch: [60][6090/10010] Time 0.320 (0.326) Data 0.001 (0.001) Loss 1.5375 (1.5472) Prec@1 66.406 (64.542) Prec@5 85.156 (84.365) Epoch: [60][6100/10010] Time 0.319 (0.326) Data 0.001 (0.001) Loss 1.4454 (1.5472) Prec@1 65.625 (64.544) Prec@5 88.281 (84.366) Epoch: [60][6110/10010] Time 0.338 (0.326) Data 0.001 (0.001) Loss 1.4518 (1.5470) Prec@1 65.625 (64.549) Prec@5 87.500 (84.367) Epoch: [60][6120/10010] Time 0.329 (0.326) Data 0.001 (0.001) Loss 1.3060 (1.5470) Prec@1 73.438 (64.549) Prec@5 87.500 (84.367) Epoch: [60][6130/10010] Time 0.311 (0.326) Data 0.001 (0.001) Loss 1.4387 (1.5468) Prec@1 68.750 (64.553) Prec@5 86.719 (84.370) Epoch: [60][6140/10010] Time 0.339 (0.326) Data 0.000 (0.001) Loss 1.3400 (1.5467) Prec@1 62.500 (64.554) Prec@5 90.625 (84.373) Epoch: [60][6150/10010] Time 0.315 (0.326) Data 0.001 (0.001) Loss 1.6306 (1.5465) Prec@1 61.719 (64.556) Prec@5 83.594 (84.375) Epoch: [60][6160/10010] Time 0.327 (0.326) Data 0.001 (0.001) Loss 1.7065 (1.5464) Prec@1 62.500 (64.559) Prec@5 83.594 (84.378) Epoch: [60][6170/10010] Time 0.336 (0.326) Data 0.001 (0.001) Loss 1.4445 (1.5464) Prec@1 67.188 (64.558) Prec@5 87.500 (84.378) Epoch: [60][6180/10010] Time 0.322 (0.326) Data 0.001 (0.001) Loss 1.6655 (1.5463) Prec@1 61.719 (64.561) Prec@5 84.375 (84.379) Epoch: [60][6190/10010] Time 0.331 (0.326) Data 0.001 (0.001) Loss 1.2002 (1.5464) Prec@1 71.875 (64.560) Prec@5 87.500 (84.377) Epoch: [60][6200/10010] Time 0.329 (0.326) Data 0.001 (0.001) Loss 1.4835 (1.5462) Prec@1 67.969 (64.565) Prec@5 88.281 (84.381) Epoch: [60][6210/10010] Time 0.332 (0.326) Data 0.001 (0.001) Loss 1.5467 (1.5462) Prec@1 60.938 (64.566) Prec@5 82.812 (84.380) Epoch: [60][6220/10010] Time 0.338 (0.326) Data 0.000 (0.001) Loss 1.2042 (1.5462) Prec@1 75.000 (64.564) Prec@5 88.281 (84.380) Epoch: [60][6230/10010] Time 0.336 (0.326) Data 0.001 (0.001) Loss 1.2278 (1.5462) Prec@1 68.750 (64.565) Prec@5 87.500 (84.380) Epoch: [60][6240/10010] Time 0.339 (0.326) Data 0.000 (0.001) Loss 1.3547 (1.5461) Prec@1 70.312 (64.568) Prec@5 84.375 (84.381) Epoch: [60][6250/10010] Time 0.318 (0.326) Data 0.001 (0.001) Loss 1.6089 (1.5460) Prec@1 66.406 (64.569) Prec@5 83.594 (84.382) Epoch: [60][6260/10010] Time 0.316 (0.326) Data 0.001 (0.001) Loss 1.5494 (1.5460) Prec@1 64.844 (64.568) Prec@5 85.938 (84.380) Epoch: [60][6270/10010] Time 0.310 (0.326) Data 0.001 (0.001) Loss 1.5278 (1.5460) Prec@1 64.062 (64.569) Prec@5 81.250 (84.380) Epoch: [60][6280/10010] Time 0.323 (0.326) Data 0.000 (0.001) Loss 1.3378 (1.5460) Prec@1 65.625 (64.569) Prec@5 87.500 (84.380) Epoch: [60][6290/10010] Time 0.335 (0.326) Data 0.000 (0.001) Loss 1.7637 (1.5460) Prec@1 59.375 (64.570) Prec@5 83.594 (84.381) Epoch: [60][6300/10010] Time 0.336 (0.326) Data 0.001 (0.001) Loss 1.1998 (1.5460) Prec@1 68.750 (64.568) Prec@5 90.625 (84.382) Epoch: [60][6310/10010] Time 0.323 (0.326) Data 0.000 (0.001) Loss 1.8802 (1.5459) Prec@1 58.594 (64.570) Prec@5 76.562 (84.384) Epoch: [60][6320/10010] Time 0.331 (0.326) Data 0.001 (0.001) Loss 1.6508 (1.5458) Prec@1 66.406 (64.569) Prec@5 78.125 (84.386) Epoch: [60][6330/10010] Time 0.321 (0.326) Data 0.001 (0.001) Loss 1.7690 (1.5457) Prec@1 60.156 (64.571) Prec@5 82.812 (84.386) Epoch: [60][6340/10010] Time 0.342 (0.326) Data 0.000 (0.001) Loss 1.3840 (1.5456) Prec@1 67.969 (64.574) Prec@5 85.938 (84.386) Epoch: [60][6350/10010] Time 0.318 (0.326) Data 0.000 (0.001) Loss 1.4464 (1.5458) Prec@1 69.531 (64.571) Prec@5 85.938 (84.382) Epoch: [60][6360/10010] Time 0.329 (0.326) Data 0.000 (0.001) Loss 1.8526 (1.5459) Prec@1 62.500 (64.570) Prec@5 78.906 (84.381) Epoch: [60][6370/10010] Time 0.311 (0.326) Data 0.001 (0.001) Loss 1.4314 (1.5457) Prec@1 69.531 (64.573) Prec@5 83.594 (84.382) Epoch: [60][6380/10010] Time 0.329 (0.326) Data 0.001 (0.001) Loss 1.7327 (1.5457) Prec@1 56.250 (64.573) Prec@5 79.688 (84.384) /data/vision/torralba/deepscene/lib/anaconda2/lib/python2.7/site-packages/PIL/TiffImagePlugin.py:692: UserWarning: Possibly corrupt EXIF data. Expecting to read 2555904 bytes but only got 0. Skipping tag 0 "Skipping tag %s" % (size, len(data), tag)) Epoch: [60][6390/10010] Time 0.316 (0.326) Data 0.001 (0.001) Loss 1.5100 (1.5457) Prec@1 66.406 (64.573) Prec@5 84.375 (84.383) Epoch: [60][6400/10010] Time 0.317 (0.326) Data 0.000 (0.001) Loss 1.3881 (1.5457) Prec@1 69.531 (64.573) Prec@5 86.719 (84.383) Epoch: [60][6410/10010] Time 0.328 (0.326) Data 0.001 (0.001) Loss 1.4415 (1.5456) Prec@1 67.969 (64.575) Prec@5 86.719 (84.384) Epoch: [60][6420/10010] Time 0.312 (0.326) Data 0.000 (0.001) Loss 1.4197 (1.5457) Prec@1 60.938 (64.571) Prec@5 85.156 (84.380) Epoch: [60][6430/10010] Time 0.326 (0.326) Data 0.001 (0.001) Loss 1.6401 (1.5457) Prec@1 64.844 (64.572) Prec@5 85.156 (84.382) Epoch: [60][6440/10010] Time 0.320 (0.326) Data 0.001 (0.001) Loss 1.2968 (1.5457) Prec@1 67.969 (64.568) Prec@5 88.281 (84.379) Epoch: [60][6450/10010] Time 0.325 (0.326) Data 0.001 (0.001) Loss 1.7887 (1.5457) Prec@1 59.375 (64.568) Prec@5 79.688 (84.379) Epoch: [60][6460/10010] Time 0.327 (0.326) Data 0.001 (0.001) Loss 1.6215 (1.5457) Prec@1 58.594 (64.565) Prec@5 81.250 (84.379) Epoch: [60][6470/10010] Time 0.313 (0.326) Data 0.001 (0.001) Loss 1.5480 (1.5456) Prec@1 63.281 (64.567) Prec@5 87.500 (84.381) Epoch: [60][6480/10010] Time 0.312 (0.326) Data 0.001 (0.001) Loss 1.6105 (1.5456) Prec@1 66.406 (64.567) Prec@5 85.156 (84.382) Epoch: [60][6490/10010] Time 0.333 (0.326) Data 0.001 (0.001) Loss 1.4093 (1.5456) Prec@1 70.312 (64.570) Prec@5 82.812 (84.382) Epoch: [60][6500/10010] Time 0.324 (0.326) Data 0.001 (0.001) Loss 1.3610 (1.5455) Prec@1 71.094 (64.573) Prec@5 85.156 (84.384) Epoch: [60][6510/10010] Time 0.333 (0.326) Data 0.001 (0.001) Loss 1.4379 (1.5454) Prec@1 67.188 (64.576) Prec@5 88.281 (84.385) Epoch: [60][6520/10010] Time 0.322 (0.326) Data 0.001 (0.001) Loss 1.7918 (1.5455) Prec@1 59.375 (64.573) Prec@5 80.469 (84.383) Epoch: [60][6530/10010] Time 0.341 (0.326) Data 0.000 (0.001) Loss 1.7160 (1.5456) Prec@1 57.031 (64.571) Prec@5 84.375 (84.383) Epoch: [60][6540/10010] Time 0.329 (0.326) Data 0.001 (0.001) Loss 1.5654 (1.5456) Prec@1 67.969 (64.573) Prec@5 84.375 (84.383) Epoch: [60][6550/10010] Time 0.328 (0.326) Data 0.000 (0.001) Loss 1.5633 (1.5454) Prec@1 68.750 (64.578) Prec@5 84.375 (84.385) Epoch: [60][6560/10010] Time 0.314 (0.326) Data 0.001 (0.001) Loss 1.3588 (1.5456) Prec@1 68.750 (64.576) Prec@5 85.938 (84.383) Epoch: [60][6570/10010] Time 0.338 (0.326) Data 0.001 (0.001) Loss 1.4129 (1.5454) Prec@1 67.188 (64.580) Prec@5 87.500 (84.385) Epoch: [60][6580/10010] Time 0.327 (0.326) Data 0.000 (0.001) Loss 1.5384 (1.5453) Prec@1 59.375 (64.582) Prec@5 85.156 (84.386) Epoch: [60][6590/10010] Time 0.328 (0.326) Data 0.001 (0.001) Loss 1.5719 (1.5454) Prec@1 63.281 (64.579) Prec@5 85.938 (84.385) Epoch: [60][6600/10010] Time 0.336 (0.326) Data 0.001 (0.001) Loss 1.4300 (1.5453) Prec@1 68.750 (64.579) Prec@5 86.719 (84.386) Epoch: [60][6610/10010] Time 0.322 (0.326) Data 0.001 (0.001) Loss 1.6449 (1.5454) Prec@1 59.375 (64.579) Prec@5 85.938 (84.384) Epoch: [60][6620/10010] Time 0.329 (0.326) Data 0.001 (0.001) Loss 1.6120 (1.5453) Prec@1 65.625 (64.580) Prec@5 81.250 (84.386) Epoch: [60][6630/10010] Time 0.316 (0.326) Data 0.001 (0.001) Loss 1.5681 (1.5452) Prec@1 63.281 (64.581) Prec@5 82.812 (84.386) Epoch: [60][6640/10010] Time 0.318 (0.326) Data 0.001 (0.001) Loss 1.5169 (1.5451) Prec@1 67.188 (64.584) Prec@5 84.375 (84.388) Epoch: [60][6650/10010] Time 0.325 (0.326) Data 0.001 (0.001) Loss 1.5920 (1.5449) Prec@1 64.844 (64.589) Prec@5 87.500 (84.391) Epoch: [60][6660/10010] Time 0.325 (0.326) Data 0.001 (0.001) Loss 1.6332 (1.5449) Prec@1 64.062 (64.589) Prec@5 82.812 (84.391) Epoch: [60][6670/10010] Time 0.333 (0.326) Data 0.001 (0.001) Loss 1.3131 (1.5448) Prec@1 70.312 (64.591) Prec@5 88.281 (84.390) Epoch: [60][6680/10010] Time 0.339 (0.326) Data 0.000 (0.001) Loss 1.3347 (1.5446) Prec@1 69.531 (64.596) Prec@5 84.375 (84.391) Epoch: [60][6690/10010] Time 0.338 (0.326) Data 0.001 (0.001) Loss 1.4036 (1.5446) Prec@1 64.844 (64.596) Prec@5 85.156 (84.392) Epoch: [60][6700/10010] Time 0.333 (0.326) Data 0.001 (0.001) Loss 1.4840 (1.5446) Prec@1 67.969 (64.595) Prec@5 84.375 (84.393) Epoch: [60][6710/10010] Time 0.320 (0.326) Data 0.001 (0.001) Loss 1.8828 (1.5447) Prec@1 59.375 (64.594) Prec@5 81.250 (84.392) Epoch: [60][6720/10010] Time 0.335 (0.326) Data 0.000 (0.001) Loss 1.1361 (1.5446) Prec@1 73.438 (64.596) Prec@5 91.406 (84.391) Epoch: [60][6730/10010] Time 0.322 (0.326) Data 0.001 (0.001) Loss 1.5450 (1.5446) Prec@1 62.500 (64.596) Prec@5 84.375 (84.392) Epoch: [60][6740/10010] Time 0.323 (0.326) Data 0.001 (0.001) Loss 1.4534 (1.5446) Prec@1 65.625 (64.597) Prec@5 85.156 (84.390) Epoch: [60][6750/10010] Time 0.315 (0.326) Data 0.001 (0.001) Loss 1.4865 (1.5445) Prec@1 69.531 (64.599) Prec@5 87.500 (84.392) Epoch: [60][6760/10010] Time 0.325 (0.326) Data 0.001 (0.001) Loss 1.1769 (1.5442) Prec@1 72.656 (64.605) Prec@5 87.500 (84.395) Epoch: [60][6770/10010] Time 0.342 (0.326) Data 0.001 (0.001) Loss 1.5117 (1.5442) Prec@1 64.062 (64.605) Prec@5 83.594 (84.394) Epoch: [60][6780/10010] Time 0.340 (0.326) Data 0.001 (0.001) Loss 1.2257 (1.5440) Prec@1 70.312 (64.610) Prec@5 90.625 (84.398) Epoch: [60][6790/10010] Time 0.310 (0.326) Data 0.000 (0.001) Loss 1.7762 (1.5440) Prec@1 57.031 (64.610) Prec@5 78.125 (84.396) Epoch: [60][6800/10010] Time 0.332 (0.326) Data 0.000 (0.001) Loss 1.6818 (1.5441) Prec@1 63.281 (64.612) Prec@5 83.594 (84.396) Epoch: [60][6810/10010] Time 0.334 (0.326) Data 0.000 (0.001) Loss 1.7155 (1.5440) Prec@1 59.375 (64.615) Prec@5 79.688 (84.396) Epoch: [60][6820/10010] Time 0.316 (0.326) Data 0.001 (0.001) Loss 1.5731 (1.5439) Prec@1 66.406 (64.618) Prec@5 83.594 (84.398) Epoch: [60][6830/10010] Time 0.335 (0.326) Data 0.001 (0.001) Loss 1.6735 (1.5439) Prec@1 60.938 (64.617) Prec@5 80.469 (84.399) Epoch: [60][6840/10010] Time 0.321 (0.326) Data 0.000 (0.001) Loss 1.5547 (1.5439) Prec@1 63.281 (64.616) Prec@5 86.719 (84.400) Epoch: [60][6850/10010] Time 0.320 (0.326) Data 0.001 (0.001) Loss 1.3791 (1.5437) Prec@1 70.312 (64.621) Prec@5 82.812 (84.401) Epoch: [60][6860/10010] Time 0.334 (0.326) Data 0.000 (0.001) Loss 1.4088 (1.5436) Prec@1 64.844 (64.624) Prec@5 89.062 (84.405) Epoch: [60][6870/10010] Time 0.333 (0.326) Data 0.001 (0.001) Loss 1.2771 (1.5435) Prec@1 69.531 (64.626) Prec@5 87.500 (84.405) Epoch: [60][6880/10010] Time 0.344 (0.326) Data 0.001 (0.001) Loss 1.5974 (1.5434) Prec@1 57.812 (64.625) Prec@5 83.594 (84.406) Epoch: [60][6890/10010] Time 0.339 (0.326) Data 0.001 (0.001) Loss 1.4792 (1.5434) Prec@1 69.531 (64.627) Prec@5 84.375 (84.405) Epoch: [60][6900/10010] Time 0.322 (0.326) Data 0.001 (0.001) Loss 1.3844 (1.5434) Prec@1 67.188 (64.624) Prec@5 90.625 (84.405) Epoch: [60][6910/10010] Time 0.317 (0.326) Data 0.001 (0.001) Loss 1.4385 (1.5432) Prec@1 66.406 (64.627) Prec@5 85.156 (84.408) Epoch: [60][6920/10010] Time 0.311 (0.326) Data 0.001 (0.001) Loss 1.5002 (1.5431) Prec@1 67.188 (64.631) Prec@5 81.250 (84.408) Epoch: [60][6930/10010] Time 0.339 (0.326) Data 0.000 (0.001) Loss 1.5142 (1.5430) Prec@1 60.156 (64.630) Prec@5 85.938 (84.410) Epoch: [60][6940/10010] Time 0.335 (0.326) Data 0.001 (0.001) Loss 1.4725 (1.5431) Prec@1 64.844 (64.630) Prec@5 86.719 (84.410) Epoch: [60][6950/10010] Time 0.339 (0.326) Data 0.001 (0.001) Loss 1.3532 (1.5430) Prec@1 67.188 (64.630) Prec@5 88.281 (84.411) Epoch: [60][6960/10010] Time 0.322 (0.326) Data 0.000 (0.001) Loss 1.4309 (1.5430) Prec@1 67.969 (64.630) Prec@5 84.375 (84.412) Epoch: [60][6970/10010] Time 0.332 (0.326) Data 0.001 (0.001) Loss 1.6217 (1.5429) Prec@1 62.500 (64.632) Prec@5 85.938 (84.415) Epoch: [60][6980/10010] Time 0.332 (0.326) Data 0.000 (0.001) Loss 1.5424 (1.5428) Prec@1 63.281 (64.634) Prec@5 83.594 (84.416) Epoch: [60][6990/10010] Time 0.322 (0.326) Data 0.000 (0.001) Loss 1.5076 (1.5426) Prec@1 65.625 (64.635) Prec@5 86.719 (84.418) Epoch: [60][7000/10010] Time 0.340 (0.326) Data 0.000 (0.001) Loss 1.3206 (1.5426) Prec@1 70.312 (64.636) Prec@5 86.719 (84.418) Epoch: [60][7010/10010] Time 0.336 (0.326) Data 0.001 (0.001) Loss 1.4183 (1.5425) Prec@1 69.531 (64.639) Prec@5 87.500 (84.421) Epoch: [60][7020/10010] Time 0.342 (0.326) Data 0.000 (0.001) Loss 1.5710 (1.5425) Prec@1 63.281 (64.638) Prec@5 85.156 (84.421) Epoch: [60][7030/10010] Time 0.339 (0.326) Data 0.001 (0.001) Loss 1.5729 (1.5427) Prec@1 60.156 (64.631) Prec@5 87.500 (84.419) Epoch: [60][7040/10010] Time 0.338 (0.326) Data 0.001 (0.001) Loss 1.8738 (1.5427) Prec@1 58.594 (64.631) Prec@5 82.031 (84.420) Epoch: [60][7050/10010] Time 0.319 (0.326) Data 0.001 (0.001) Loss 1.3347 (1.5424) Prec@1 72.656 (64.637) Prec@5 89.844 (84.424) Epoch: [60][7060/10010] Time 0.331 (0.326) Data 0.001 (0.001) Loss 1.2438 (1.5423) Prec@1 73.438 (64.640) Prec@5 90.625 (84.426) Epoch: [60][7070/10010] Time 0.340 (0.326) Data 0.000 (0.001) Loss 1.6299 (1.5424) Prec@1 68.750 (64.639) Prec@5 82.812 (84.425) Epoch: [60][7080/10010] Time 0.335 (0.326) Data 0.000 (0.001) Loss 1.5643 (1.5423) Prec@1 61.719 (64.644) Prec@5 83.594 (84.426) Epoch: [60][7090/10010] Time 0.326 (0.326) Data 0.000 (0.001) Loss 1.3169 (1.5422) Prec@1 66.406 (64.646) Prec@5 86.719 (84.425) Epoch: [60][7100/10010] Time 0.325 (0.326) Data 0.001 (0.001) Loss 1.4943 (1.5421) Prec@1 64.844 (64.647) Prec@5 83.594 (84.429) Epoch: [60][7110/10010] Time 0.312 (0.326) Data 0.001 (0.001) Loss 1.2180 (1.5420) Prec@1 71.094 (64.650) Prec@5 87.500 (84.430) Epoch: [60][7120/10010] Time 0.333 (0.326) Data 0.001 (0.001) Loss 1.7290 (1.5419) Prec@1 60.156 (64.649) Prec@5 81.250 (84.432) Epoch: [60][7130/10010] Time 0.329 (0.326) Data 0.001 (0.001) Loss 1.4162 (1.5420) Prec@1 69.531 (64.647) Prec@5 83.594 (84.431) Epoch: [60][7140/10010] Time 0.318 (0.326) Data 0.001 (0.001) Loss 1.5557 (1.5421) Prec@1 60.938 (64.645) Prec@5 82.812 (84.431) Epoch: [60][7150/10010] Time 0.325 (0.326) Data 0.001 (0.001) Loss 1.5092 (1.5420) Prec@1 66.406 (64.647) Prec@5 87.500 (84.434) Epoch: [60][7160/10010] Time 0.325 (0.326) Data 0.001 (0.001) Loss 1.4487 (1.5418) Prec@1 58.594 (64.650) Prec@5 85.938 (84.435) Epoch: [60][7170/10010] Time 0.321 (0.326) Data 0.001 (0.001) Loss 1.1916 (1.5418) Prec@1 74.219 (64.649) Prec@5 89.062 (84.436) Epoch: [60][7180/10010] Time 0.325 (0.326) Data 0.001 (0.001) Loss 1.3484 (1.5418) Prec@1 71.875 (64.650) Prec@5 88.281 (84.436) Epoch: [60][7190/10010] Time 0.334 (0.326) Data 0.001 (0.001) Loss 1.3143 (1.5417) Prec@1 68.750 (64.650) Prec@5 87.500 (84.439) Epoch: [60][7200/10010] Time 0.341 (0.326) Data 0.001 (0.001) Loss 1.3877 (1.5416) Prec@1 67.969 (64.650) Prec@5 85.156 (84.439) Epoch: [60][7210/10010] Time 0.340 (0.326) Data 0.000 (0.001) Loss 1.6860 (1.5417) Prec@1 62.500 (64.649) Prec@5 78.906 (84.437) Epoch: [60][7220/10010] Time 0.328 (0.326) Data 0.001 (0.001) Loss 1.5286 (1.5418) Prec@1 60.156 (64.647) Prec@5 84.375 (84.438) Epoch: [60][7230/10010] Time 0.342 (0.326) Data 0.001 (0.001) Loss 1.3292 (1.5417) Prec@1 67.188 (64.649) Prec@5 85.938 (84.437) Epoch: [60][7240/10010] Time 0.321 (0.326) Data 0.001 (0.001) Loss 1.4963 (1.5417) Prec@1 64.062 (64.649) Prec@5 87.500 (84.438) Epoch: [60][7250/10010] Time 0.318 (0.326) Data 0.001 (0.001) Loss 1.4801 (1.5416) Prec@1 65.625 (64.649) Prec@5 82.031 (84.438) Epoch: [60][7260/10010] Time 0.344 (0.326) Data 0.002 (0.001) Loss 1.3364 (1.5416) Prec@1 71.875 (64.650) Prec@5 88.281 (84.440) Epoch: [60][7270/10010] Time 0.322 (0.326) Data 0.001 (0.001) Loss 1.3389 (1.5415) Prec@1 64.062 (64.651) Prec@5 88.281 (84.441) Epoch: [60][7280/10010] Time 0.343 (0.326) Data 0.001 (0.001) Loss 1.4818 (1.5416) Prec@1 64.062 (64.650) Prec@5 80.469 (84.440) Epoch: [60][7290/10010] Time 0.322 (0.326) Data 0.000 (0.001) Loss 1.2901 (1.5414) Prec@1 61.719 (64.653) Prec@5 89.062 (84.443) Epoch: [60][7300/10010] Time 0.339 (0.326) Data 0.001 (0.001) Loss 1.6251 (1.5413) Prec@1 57.031 (64.652) Prec@5 82.812 (84.443) /data/vision/torralba/deepscene/lib/anaconda2/lib/python2.7/site-packages/PIL/TiffImagePlugin.py:692: UserWarning: Possibly corrupt EXIF data. Expecting to read 2555904 bytes but only got 0. Skipping tag 0 "Skipping tag %s" % (size, len(data), tag)) Epoch: [60][7310/10010] Time 0.327 (0.326) Data 0.001 (0.001) Loss 1.4824 (1.5411) Prec@1 61.719 (64.654) Prec@5 85.156 (84.446) Epoch: [60][7320/10010] Time 0.338 (0.326) Data 0.001 (0.001) Loss 1.3307 (1.5411) Prec@1 71.875 (64.655) Prec@5 85.938 (84.446) Epoch: [60][7330/10010] Time 0.335 (0.326) Data 0.001 (0.001) Loss 1.4680 (1.5410) Prec@1 64.844 (64.657) Prec@5 85.156 (84.446) Epoch: [60][7340/10010] Time 0.314 (0.326) Data 0.001 (0.001) Loss 1.3119 (1.5411) Prec@1 67.188 (64.657) Prec@5 87.500 (84.445) Epoch: [60][7350/10010] Time 0.336 (0.326) Data 0.001 (0.001) Loss 1.4620 (1.5411) Prec@1 68.750 (64.657) Prec@5 84.375 (84.444) Epoch: [60][7360/10010] Time 0.315 (0.326) Data 0.001 (0.001) Loss 1.4536 (1.5411) Prec@1 67.188 (64.657) Prec@5 87.500 (84.442) Epoch: [60][7370/10010] Time 0.342 (0.326) Data 0.001 (0.001) Loss 1.5391 (1.5411) Prec@1 63.281 (64.657) Prec@5 84.375 (84.443) Epoch: [60][7380/10010] Time 0.314 (0.326) Data 0.001 (0.001) Loss 1.4795 (1.5409) Prec@1 60.938 (64.662) Prec@5 89.062 (84.447) Epoch: [60][7390/10010] Time 0.318 (0.326) Data 0.001 (0.001) Loss 1.4237 (1.5409) Prec@1 65.625 (64.662) Prec@5 85.156 (84.447) Epoch: [60][7400/10010] Time 0.318 (0.326) Data 0.001 (0.001) Loss 1.5101 (1.5409) Prec@1 71.094 (64.662) Prec@5 85.156 (84.447) Epoch: [60][7410/10010] Time 0.317 (0.326) Data 0.000 (0.001) Loss 1.5373 (1.5408) Prec@1 63.281 (64.662) Prec@5 83.594 (84.448) Epoch: [60][7420/10010] Time 0.335 (0.326) Data 0.001 (0.001) Loss 1.8671 (1.5407) Prec@1 58.594 (64.663) Prec@5 79.688 (84.449) Epoch: [60][7430/10010] Time 0.320 (0.326) Data 0.001 (0.001) Loss 1.4479 (1.5407) Prec@1 68.750 (64.664) Prec@5 85.938 (84.449) Epoch: [60][7440/10010] Time 0.320 (0.326) Data 0.001 (0.001) Loss 1.4869 (1.5406) Prec@1 69.531 (64.669) Prec@5 83.594 (84.451) Epoch: [60][7450/10010] Time 0.320 (0.326) Data 0.001 (0.001) Loss 1.6921 (1.5405) Prec@1 62.500 (64.669) Prec@5 78.906 (84.451) Epoch: [60][7460/10010] Time 0.310 (0.326) Data 0.001 (0.001) Loss 1.3382 (1.5405) Prec@1 73.438 (64.671) Prec@5 85.938 (84.452) Epoch: [60][7470/10010] Time 0.312 (0.326) Data 0.000 (0.001) Loss 1.6122 (1.5404) Prec@1 64.844 (64.671) Prec@5 83.594 (84.453) Epoch: [60][7480/10010] Time 0.336 (0.326) Data 0.000 (0.001) Loss 1.4556 (1.5404) Prec@1 63.281 (64.671) Prec@5 87.500 (84.455) Epoch: [60][7490/10010] Time 0.321 (0.326) Data 0.001 (0.001) Loss 1.3421 (1.5401) Prec@1 63.281 (64.676) Prec@5 92.188 (84.458) Epoch: [60][7500/10010] Time 0.316 (0.326) Data 0.001 (0.001) Loss 1.6539 (1.5401) Prec@1 64.062 (64.678) Prec@5 85.156 (84.460) Epoch: [60][7510/10010] Time 0.313 (0.326) Data 0.001 (0.001) Loss 1.5368 (1.5401) Prec@1 64.062 (64.678) Prec@5 88.281 (84.462) Epoch: [60][7520/10010] Time 0.310 (0.326) Data 0.001 (0.001) Loss 1.4876 (1.5401) Prec@1 64.062 (64.677) Prec@5 85.938 (84.463) Epoch: [60][7530/10010] Time 0.322 (0.326) Data 0.000 (0.001) Loss 1.5567 (1.5401) Prec@1 60.938 (64.675) Prec@5 85.156 (84.463) Epoch: [60][7540/10010] Time 0.315 (0.326) Data 0.001 (0.001) Loss 1.2510 (1.5400) Prec@1 68.750 (64.678) Prec@5 88.281 (84.466) Epoch: [60][7550/10010] Time 0.335 (0.326) Data 0.000 (0.001) Loss 1.5246 (1.5399) Prec@1 69.531 (64.680) Prec@5 83.594 (84.467) Epoch: [60][7560/10010] Time 0.340 (0.326) Data 0.001 (0.001) Loss 1.2420 (1.5398) Prec@1 73.438 (64.681) Prec@5 85.938 (84.465) Epoch: [60][7570/10010] Time 0.338 (0.326) Data 0.001 (0.001) Loss 1.3894 (1.5397) Prec@1 69.531 (64.683) Prec@5 86.719 (84.467) Epoch: [60][7580/10010] Time 0.339 (0.326) Data 0.001 (0.001) Loss 1.7568 (1.5398) Prec@1 56.250 (64.680) Prec@5 83.594 (84.467) Epoch: [60][7590/10010] Time 0.317 (0.326) Data 0.001 (0.001) Loss 1.4128 (1.5397) Prec@1 65.625 (64.682) Prec@5 84.375 (84.467) Epoch: [60][7600/10010] Time 0.335 (0.326) Data 0.001 (0.001) Loss 1.6590 (1.5396) Prec@1 60.938 (64.684) Prec@5 82.031 (84.468) Epoch: [60][7610/10010] Time 0.321 (0.326) Data 0.001 (0.001) Loss 1.3772 (1.5396) Prec@1 66.406 (64.685) Prec@5 87.500 (84.467) Epoch: [60][7620/10010] Time 0.321 (0.326) Data 0.001 (0.001) Loss 1.4461 (1.5396) Prec@1 66.406 (64.685) Prec@5 82.812 (84.465) Epoch: [60][7630/10010] Time 0.337 (0.326) Data 0.000 (0.001) Loss 1.4713 (1.5395) Prec@1 67.969 (64.687) Prec@5 85.156 (84.467) Epoch: [60][7640/10010] Time 0.315 (0.326) Data 0.000 (0.001) Loss 1.2362 (1.5395) Prec@1 70.312 (64.685) Prec@5 88.281 (84.469) Epoch: [60][7650/10010] Time 0.337 (0.326) Data 0.001 (0.001) Loss 1.3716 (1.5395) Prec@1 71.094 (64.686) Prec@5 87.500 (84.470) Epoch: [60][7660/10010] Time 0.337 (0.326) Data 0.001 (0.001) Loss 1.9401 (1.5394) Prec@1 60.938 (64.687) Prec@5 80.469 (84.472) Epoch: [60][7670/10010] Time 0.315 (0.326) Data 0.000 (0.001) Loss 1.4480 (1.5393) Prec@1 70.312 (64.689) Prec@5 85.156 (84.473) Epoch: [60][7680/10010] Time 0.338 (0.326) Data 0.001 (0.001) Loss 1.7206 (1.5393) Prec@1 62.500 (64.690) Prec@5 79.688 (84.474) Epoch: [60][7690/10010] Time 0.339 (0.326) Data 0.001 (0.001) Loss 1.5090 (1.5392) Prec@1 65.625 (64.693) Prec@5 87.500 (84.475) Epoch: [60][7700/10010] Time 0.321 (0.326) Data 0.001 (0.001) Loss 1.5407 (1.5391) Prec@1 61.719 (64.694) Prec@5 85.938 (84.476) Epoch: [60][7710/10010] Time 0.335 (0.326) Data 0.001 (0.001) Loss 1.4577 (1.5390) Prec@1 67.188 (64.695) Prec@5 86.719 (84.477) Epoch: [60][7720/10010] Time 0.336 (0.326) Data 0.001 (0.001) Loss 1.4054 (1.5388) Prec@1 62.500 (64.698) Prec@5 87.500 (84.481) Epoch: [60][7730/10010] Time 0.318 (0.326) Data 0.000 (0.001) Loss 1.3789 (1.5385) Prec@1 65.625 (64.701) Prec@5 88.281 (84.485) Epoch: [60][7740/10010] Time 0.324 (0.326) Data 0.001 (0.001) Loss 1.6778 (1.5385) Prec@1 60.938 (64.704) Prec@5 82.812 (84.486) Epoch: [60][7750/10010] Time 0.321 (0.326) Data 0.001 (0.001) Loss 1.5655 (1.5385) Prec@1 60.938 (64.703) Prec@5 83.594 (84.486) Epoch: [60][7760/10010] Time 0.317 (0.326) Data 0.001 (0.001) Loss 1.5870 (1.5384) Prec@1 64.062 (64.706) Prec@5 84.375 (84.489) Epoch: [60][7770/10010] Time 0.322 (0.326) Data 0.001 (0.001) Loss 1.5868 (1.5384) Prec@1 64.844 (64.706) Prec@5 84.375 (84.489) Epoch: [60][7780/10010] Time 0.322 (0.326) Data 0.001 (0.001) Loss 1.2391 (1.5383) Prec@1 67.969 (64.707) Prec@5 89.062 (84.490) Epoch: [60][7790/10010] Time 0.333 (0.326) Data 0.001 (0.001) Loss 1.5987 (1.5383) Prec@1 64.062 (64.708) Prec@5 84.375 (84.489) Epoch: [60][7800/10010] Time 0.318 (0.326) Data 0.001 (0.001) Loss 1.3450 (1.5382) Prec@1 70.312 (64.710) Prec@5 86.719 (84.490) Epoch: [60][7810/10010] Time 0.336 (0.326) Data 0.000 (0.001) Loss 1.3936 (1.5381) Prec@1 70.312 (64.713) Prec@5 83.594 (84.492) Epoch: [60][7820/10010] Time 0.318 (0.326) Data 0.000 (0.001) Loss 1.6093 (1.5379) Prec@1 64.844 (64.716) Prec@5 82.812 (84.494) Epoch: [60][7830/10010] Time 0.331 (0.326) Data 0.000 (0.001) Loss 1.5474 (1.5380) Prec@1 66.406 (64.715) Prec@5 84.375 (84.494) Epoch: [60][7840/10010] Time 0.339 (0.326) Data 0.000 (0.001) Loss 1.2143 (1.5378) Prec@1 70.312 (64.717) Prec@5 88.281 (84.496) Epoch: [60][7850/10010] Time 0.339 (0.326) Data 0.001 (0.001) Loss 1.5557 (1.5378) Prec@1 67.969 (64.718) Prec@5 85.156 (84.495) Epoch: [60][7860/10010] Time 0.316 (0.326) Data 0.000 (0.001) Loss 1.4471 (1.5378) Prec@1 67.188 (64.717) Prec@5 85.156 (84.496) Epoch: [60][7870/10010] Time 0.322 (0.326) Data 0.001 (0.001) Loss 1.5766 (1.5378) Prec@1 67.188 (64.719) Prec@5 85.156 (84.496) /data/vision/torralba/deepscene/lib/anaconda2/lib/python2.7/site-packages/PIL/TiffImagePlugin.py:692: UserWarning: Possibly corrupt EXIF data. Expecting to read 2555904 bytes but only got 0. Skipping tag 0 "Skipping tag %s" % (size, len(data), tag)) Epoch: [60][7880/10010] Time 0.320 (0.326) Data 0.001 (0.001) Loss 1.2742 (1.5378) Prec@1 66.406 (64.718) Prec@5 89.062 (84.496) Epoch: [60][7890/10010] Time 0.338 (0.326) Data 0.001 (0.001) Loss 1.8626 (1.5378) Prec@1 56.250 (64.719) Prec@5 84.375 (84.497) Epoch: [60][7900/10010] Time 0.342 (0.326) Data 0.001 (0.001) Loss 1.4278 (1.5377) Prec@1 71.094 (64.723) Prec@5 87.500 (84.497) Epoch: [60][7910/10010] Time 0.325 (0.326) Data 0.001 (0.001) Loss 1.4971 (1.5376) Prec@1 64.844 (64.724) Prec@5 86.719 (84.498) Epoch: [60][7920/10010] Time 0.334 (0.326) Data 0.001 (0.001) Loss 1.3058 (1.5375) Prec@1 70.312 (64.728) Prec@5 86.719 (84.499) Epoch: [60][7930/10010] Time 0.339 (0.326) Data 0.000 (0.001) Loss 1.4877 (1.5376) Prec@1 64.062 (64.728) Prec@5 83.594 (84.497) Epoch: [60][7940/10010] Time 0.339 (0.326) Data 0.001 (0.001) Loss 1.5785 (1.5374) Prec@1 64.062 (64.730) Prec@5 85.156 (84.500) Epoch: [60][7950/10010] Time 0.319 (0.326) Data 0.001 (0.001) Loss 1.5641 (1.5374) Prec@1 62.500 (64.730) Prec@5 85.938 (84.500) Epoch: [60][7960/10010] Time 0.336 (0.326) Data 0.001 (0.001) Loss 1.1295 (1.5374) Prec@1 71.094 (64.731) Prec@5 92.188 (84.500) Epoch: [60][7970/10010] Time 0.315 (0.326) Data 0.001 (0.001) Loss 1.4901 (1.5373) Prec@1 60.156 (64.730) Prec@5 85.938 (84.501) Epoch: [60][7980/10010] Time 0.336 (0.326) Data 0.001 (0.001) Loss 1.4060 (1.5372) Prec@1 64.062 (64.732) Prec@5 85.156 (84.501) Epoch: [60][7990/10010] Time 0.324 (0.326) Data 0.001 (0.001) Loss 1.7655 (1.5373) Prec@1 58.594 (64.731) Prec@5 80.469 (84.499) Epoch: [60][8000/10010] Time 0.327 (0.326) Data 0.001 (0.001) Loss 1.7568 (1.5372) Prec@1 67.969 (64.732) Prec@5 84.375 (84.501) Epoch: [60][8010/10010] Time 0.325 (0.326) Data 0.000 (0.001) Loss 1.0923 (1.5370) Prec@1 76.562 (64.735) Prec@5 89.062 (84.503) Epoch: [60][8020/10010] Time 0.321 (0.326) Data 0.001 (0.001) Loss 1.0286 (1.5368) Prec@1 78.125 (64.739) Prec@5 95.312 (84.507) Epoch: [60][8030/10010] Time 0.336 (0.326) Data 0.001 (0.001) Loss 1.7981 (1.5368) Prec@1 57.812 (64.741) Prec@5 81.250 (84.508) Epoch: [60][8040/10010] Time 0.320 (0.326) Data 0.000 (0.001) Loss 1.4098 (1.5367) Prec@1 70.312 (64.743) Prec@5 86.719 (84.508) Epoch: [60][8050/10010] Time 0.339 (0.326) Data 0.001 (0.001) Loss 1.3997 (1.5367) Prec@1 65.625 (64.744) Prec@5 86.719 (84.509) Epoch: [60][8060/10010] Time 0.319 (0.326) Data 0.001 (0.001) Loss 1.8052 (1.5368) Prec@1 63.281 (64.742) Prec@5 81.250 (84.508) Epoch: [60][8070/10010] Time 0.323 (0.326) Data 0.001 (0.001) Loss 1.8748 (1.5367) Prec@1 55.469 (64.744) Prec@5 76.562 (84.508) Epoch: [60][8080/10010] Time 0.314 (0.326) Data 0.000 (0.001) Loss 1.4121 (1.5367) Prec@1 67.188 (64.743) Prec@5 86.719 (84.508) Epoch: [60][8090/10010] Time 0.327 (0.326) Data 0.001 (0.001) Loss 1.5936 (1.5369) Prec@1 60.938 (64.742) Prec@5 82.812 (84.504) Epoch: [60][8100/10010] Time 0.317 (0.326) Data 0.001 (0.001) Loss 1.3384 (1.5369) Prec@1 69.531 (64.742) Prec@5 85.938 (84.502) Epoch: [60][8110/10010] Time 0.338 (0.326) Data 0.000 (0.001) Loss 1.4997 (1.5369) Prec@1 66.406 (64.741) Prec@5 85.938 (84.502) Epoch: [60][8120/10010] Time 0.332 (0.326) Data 0.001 (0.001) Loss 1.4734 (1.5368) Prec@1 64.844 (64.745) Prec@5 89.844 (84.504) Epoch: [60][8130/10010] Time 0.317 (0.326) Data 0.000 (0.001) Loss 1.4566 (1.5367) Prec@1 66.406 (64.746) Prec@5 85.156 (84.506) Epoch: [60][8140/10010] Time 0.339 (0.326) Data 0.001 (0.001) Loss 1.4376 (1.5367) Prec@1 65.625 (64.746) Prec@5 86.719 (84.504) Epoch: [60][8150/10010] Time 0.336 (0.326) Data 0.001 (0.001) Loss 1.4388 (1.5366) Prec@1 63.281 (64.748) Prec@5 84.375 (84.506) Epoch: [60][8160/10010] Time 0.315 (0.326) Data 0.000 (0.001) Loss 1.5989 (1.5365) Prec@1 63.281 (64.750) Prec@5 82.812 (84.508) Epoch: [60][8170/10010] Time 0.318 (0.326) Data 0.001 (0.001) Loss 1.6390 (1.5365) Prec@1 59.375 (64.751) Prec@5 82.031 (84.510) Epoch: [60][8180/10010] Time 0.318 (0.326) Data 0.001 (0.001) Loss 1.3528 (1.5364) Prec@1 71.094 (64.754) Prec@5 87.500 (84.511) Epoch: [60][8190/10010] Time 0.318 (0.326) Data 0.000 (0.001) Loss 1.6215 (1.5363) Prec@1 64.844 (64.755) Prec@5 79.688 (84.511) /data/vision/torralba/deepscene/lib/anaconda2/lib/python2.7/site-packages/PIL/TiffImagePlugin.py:709: UserWarning: Corrupt EXIF data. Expecting to read 4 bytes but only got 0. warnings.warn(str(msg)) Epoch: [60][8200/10010] Time 0.320 (0.326) Data 0.001 (0.001) Loss 1.5566 (1.5362) Prec@1 66.406 (64.757) Prec@5 78.125 (84.512) Epoch: [60][8210/10010] Time 0.334 (0.326) Data 0.000 (0.001) Loss 1.6496 (1.5362) Prec@1 63.281 (64.757) Prec@5 82.812 (84.511) Epoch: [60][8220/10010] Time 0.325 (0.326) Data 0.001 (0.001) Loss 1.6149 (1.5363) Prec@1 57.812 (64.757) Prec@5 85.938 (84.511) Epoch: [60][8230/10010] Time 0.318 (0.326) Data 0.000 (0.001) Loss 1.1436 (1.5362) Prec@1 69.531 (64.758) Prec@5 92.969 (84.513) Epoch: [60][8240/10010] Time 0.326 (0.326) Data 0.000 (0.001) Loss 1.3207 (1.5361) Prec@1 67.969 (64.757) Prec@5 89.062 (84.513) Epoch: [60][8250/10010] Time 0.322 (0.326) Data 0.001 (0.001) Loss 1.2069 (1.5361) Prec@1 69.531 (64.759) Prec@5 89.844 (84.514) Epoch: [60][8260/10010] Time 0.325 (0.326) Data 0.000 (0.001) Loss 1.5663 (1.5361) Prec@1 62.500 (64.759) Prec@5 82.031 (84.515) Epoch: [60][8270/10010] Time 0.318 (0.326) Data 0.001 (0.001) Loss 1.4931 (1.5361) Prec@1 65.625 (64.759) Prec@5 89.844 (84.514) Epoch: [60][8280/10010] Time 0.328 (0.326) Data 0.001 (0.001) Loss 1.4123 (1.5360) Prec@1 67.188 (64.761) Prec@5 85.156 (84.515) Epoch: [60][8290/10010] Time 0.339 (0.326) Data 0.001 (0.001) Loss 1.5783 (1.5360) Prec@1 65.625 (64.761) Prec@5 81.250 (84.514) Epoch: [60][8300/10010] Time 0.321 (0.326) Data 0.001 (0.001) Loss 1.7818 (1.5360) Prec@1 56.250 (64.761) Prec@5 83.594 (84.514) Epoch: [60][8310/10010] Time 0.315 (0.326) Data 0.000 (0.001) Loss 1.1795 (1.5357) Prec@1 72.656 (64.766) Prec@5 88.281 (84.518) Epoch: [60][8320/10010] Time 0.331 (0.326) Data 0.000 (0.001) Loss 1.4459 (1.5356) Prec@1 66.406 (64.767) Prec@5 85.938 (84.519) Epoch: [60][8330/10010] Time 0.325 (0.326) Data 0.000 (0.001) Loss 1.6913 (1.5356) Prec@1 55.469 (64.768) Prec@5 85.938 (84.520) Epoch: [60][8340/10010] Time 0.322 (0.326) Data 0.001 (0.001) Loss 1.5012 (1.5356) Prec@1 60.938 (64.769) Prec@5 85.938 (84.521) Epoch: [60][8350/10010] Time 0.326 (0.326) Data 0.001 (0.001) Loss 1.3913 (1.5355) Prec@1 68.750 (64.771) Prec@5 85.156 (84.521) Epoch: [60][8360/10010] Time 0.323 (0.326) Data 0.001 (0.001) Loss 1.5993 (1.5354) Prec@1 64.844 (64.770) Prec@5 83.594 (84.524) Epoch: [60][8370/10010] Time 0.333 (0.326) Data 0.001 (0.001) Loss 1.2519 (1.5354) Prec@1 74.219 (64.770) Prec@5 85.938 (84.524) Epoch: [60][8380/10010] Time 0.316 (0.326) Data 0.001 (0.001) Loss 1.4456 (1.5353) Prec@1 62.500 (64.771) Prec@5 87.500 (84.525) Epoch: [60][8390/10010] Time 0.328 (0.326) Data 0.001 (0.001) Loss 1.5101 (1.5352) Prec@1 64.844 (64.771) Prec@5 87.500 (84.527) Epoch: [60][8400/10010] Time 0.333 (0.326) Data 0.001 (0.001) Loss 1.4551 (1.5352) Prec@1 60.938 (64.772) Prec@5 86.719 (84.528) Epoch: [60][8410/10010] Time 0.316 (0.326) Data 0.001 (0.001) Loss 1.5636 (1.5352) Prec@1 64.844 (64.771) Prec@5 85.156 (84.528) Epoch: [60][8420/10010] Time 0.335 (0.326) Data 0.001 (0.001) Loss 1.5167 (1.5353) Prec@1 65.625 (64.771) Prec@5 83.594 (84.529) Epoch: [60][8430/10010] Time 0.334 (0.326) Data 0.001 (0.001) Loss 1.6245 (1.5351) Prec@1 61.719 (64.772) Prec@5 84.375 (84.530) Epoch: [60][8440/10010] Time 0.311 (0.326) Data 0.001 (0.001) Loss 1.3446 (1.5351) Prec@1 67.969 (64.773) Prec@5 89.062 (84.531) Epoch: [60][8450/10010] Time 0.329 (0.326) Data 0.001 (0.001) Loss 1.9103 (1.5351) Prec@1 61.719 (64.773) Prec@5 79.688 (84.530) Epoch: [60][8460/10010] Time 0.329 (0.326) Data 0.001 (0.001) Loss 1.5985 (1.5350) Prec@1 62.500 (64.774) Prec@5 85.156 (84.532) Epoch: [60][8470/10010] Time 0.315 (0.326) Data 0.000 (0.001) Loss 1.7560 (1.5349) Prec@1 57.031 (64.773) Prec@5 78.125 (84.532) Epoch: [60][8480/10010] Time 0.333 (0.326) Data 0.001 (0.001) Loss 1.5633 (1.5350) Prec@1 64.844 (64.771) Prec@5 83.594 (84.532) Epoch: [60][8490/10010] Time 0.325 (0.326) Data 0.001 (0.001) Loss 1.7728 (1.5350) Prec@1 58.594 (64.771) Prec@5 75.000 (84.531) Epoch: [60][8500/10010] Time 0.329 (0.326) Data 0.000 (0.001) Loss 1.6009 (1.5350) Prec@1 67.969 (64.773) Prec@5 86.719 (84.531) Epoch: [60][8510/10010] Time 0.337 (0.326) Data 0.001 (0.001) Loss 1.3985 (1.5350) Prec@1 66.406 (64.772) Prec@5 88.281 (84.531) Epoch: [60][8520/10010] Time 0.334 (0.326) Data 0.001 (0.001) Loss 1.6256 (1.5350) Prec@1 67.188 (64.773) Prec@5 80.469 (84.530) Epoch: [60][8530/10010] Time 0.334 (0.326) Data 0.001 (0.001) Loss 1.6786 (1.5349) Prec@1 61.719 (64.775) Prec@5 84.375 (84.530) Epoch: [60][8540/10010] Time 0.318 (0.326) Data 0.001 (0.001) Loss 1.6072 (1.5349) Prec@1 61.719 (64.777) Prec@5 83.594 (84.532) Epoch: [60][8550/10010] Time 0.315 (0.326) Data 0.001 (0.001) Loss 1.5070 (1.5348) Prec@1 67.188 (64.780) Prec@5 84.375 (84.533) Epoch: [60][8560/10010] Time 0.335 (0.326) Data 0.000 (0.001) Loss 1.3276 (1.5346) Prec@1 71.875 (64.784) Prec@5 89.062 (84.536) Epoch: [60][8570/10010] Time 0.321 (0.326) Data 0.001 (0.001) Loss 1.5080 (1.5346) Prec@1 61.719 (64.782) Prec@5 83.594 (84.536) Epoch: [60][8580/10010] Time 0.337 (0.326) Data 0.001 (0.001) Loss 1.5273 (1.5346) Prec@1 60.938 (64.782) Prec@5 85.156 (84.537) Epoch: [60][8590/10010] Time 0.339 (0.326) Data 0.000 (0.001) Loss 1.6517 (1.5346) Prec@1 66.406 (64.784) Prec@5 83.594 (84.538) Epoch: [60][8600/10010] Time 0.322 (0.326) Data 0.001 (0.001) Loss 1.7561 (1.5346) Prec@1 63.281 (64.784) Prec@5 82.812 (84.538) Epoch: [60][8610/10010] Time 0.322 (0.326) Data 0.001 (0.001) Loss 1.7826 (1.5346) Prec@1 62.500 (64.787) Prec@5 81.250 (84.539) Epoch: [60][8620/10010] Time 0.341 (0.326) Data 0.000 (0.001) Loss 1.6500 (1.5345) Prec@1 64.062 (64.788) Prec@5 85.938 (84.541) Epoch: [60][8630/10010] Time 0.336 (0.326) Data 0.001 (0.001) Loss 1.7980 (1.5345) Prec@1 60.156 (64.787) Prec@5 80.469 (84.540) Epoch: [60][8640/10010] Time 0.324 (0.326) Data 0.000 (0.001) Loss 1.4230 (1.5345) Prec@1 66.406 (64.788) Prec@5 86.719 (84.540) Epoch: [60][8650/10010] Time 0.339 (0.326) Data 0.001 (0.001) Loss 1.3754 (1.5345) Prec@1 63.281 (64.788) Prec@5 89.062 (84.540) Epoch: [60][8660/10010] Time 0.321 (0.326) Data 0.001 (0.001) Loss 1.4229 (1.5345) Prec@1 64.062 (64.788) Prec@5 88.281 (84.540) Epoch: [60][8670/10010] Time 0.347 (0.326) Data 0.000 (0.001) Loss 1.4163 (1.5345) Prec@1 64.062 (64.789) Prec@5 84.375 (84.542) Epoch: [60][8680/10010] Time 0.322 (0.326) Data 0.000 (0.001) Loss 1.4912 (1.5344) Prec@1 63.281 (64.790) Prec@5 86.719 (84.543) /data/vision/torralba/deepscene/lib/anaconda2/lib/python2.7/site-packages/PIL/TiffImagePlugin.py:692: UserWarning: Possibly corrupt EXIF data. Expecting to read 2555904 bytes but only got 0. Skipping tag 0 "Skipping tag %s" % (size, len(data), tag)) Epoch: [60][8690/10010] Time 0.338 (0.326) Data 0.000 (0.001) Loss 1.3982 (1.5344) Prec@1 67.188 (64.790) Prec@5 85.156 (84.543) Epoch: [60][8700/10010] Time 0.328 (0.326) Data 0.001 (0.001) Loss 1.7133 (1.5344) Prec@1 61.719 (64.789) Prec@5 80.469 (84.541) Epoch: [60][8710/10010] Time 0.341 (0.326) Data 0.000 (0.001) Loss 1.5866 (1.5345) Prec@1 62.500 (64.788) Prec@5 83.594 (84.540) Epoch: [60][8720/10010] Time 0.336 (0.326) Data 0.001 (0.001) Loss 1.3385 (1.5343) Prec@1 68.750 (64.791) Prec@5 86.719 (84.542) Epoch: [60][8730/10010] Time 0.312 (0.326) Data 0.001 (0.001) Loss 1.1878 (1.5343) Prec@1 68.750 (64.790) Prec@5 90.625 (84.542) Epoch: [60][8740/10010] Time 0.334 (0.326) Data 0.001 (0.001) Loss 1.3314 (1.5343) Prec@1 67.969 (64.791) Prec@5 88.281 (84.543) Epoch: [60][8750/10010] Time 0.345 (0.326) Data 0.001 (0.001) Loss 1.5381 (1.5342) Prec@1 64.062 (64.793) Prec@5 85.156 (84.544) Epoch: [60][8760/10010] Time 0.339 (0.326) Data 0.001 (0.001) Loss 1.7226 (1.5343) Prec@1 64.062 (64.791) Prec@5 82.812 (84.543) Epoch: [60][8770/10010] Time 0.324 (0.326) Data 0.000 (0.001) Loss 1.5722 (1.5343) Prec@1 64.062 (64.792) Prec@5 85.156 (84.541) Epoch: [60][8780/10010] Time 0.341 (0.326) Data 0.000 (0.001) Loss 1.5405 (1.5343) Prec@1 67.969 (64.790) Prec@5 83.594 (84.540) Epoch: [60][8790/10010] Time 0.333 (0.326) Data 0.001 (0.001) Loss 1.3960 (1.5343) Prec@1 67.969 (64.793) Prec@5 83.594 (84.541) Epoch: [60][8800/10010] Time 0.339 (0.326) Data 0.000 (0.001) Loss 1.3251 (1.5342) Prec@1 74.219 (64.795) Prec@5 85.156 (84.542) Epoch: [60][8810/10010] Time 0.334 (0.326) Data 0.001 (0.001) Loss 1.5413 (1.5342) Prec@1 60.156 (64.793) Prec@5 83.594 (84.541) Epoch: [60][8820/10010] Time 0.321 (0.326) Data 0.000 (0.001) Loss 1.6315 (1.5343) Prec@1 62.500 (64.792) Prec@5 84.375 (84.541) Epoch: [60][8830/10010] Time 0.325 (0.326) Data 0.001 (0.001) Loss 1.5423 (1.5342) Prec@1 59.375 (64.793) Prec@5 84.375 (84.541) Epoch: [60][8840/10010] Time 0.319 (0.326) Data 0.001 (0.001) Loss 1.5668 (1.5341) Prec@1 66.406 (64.793) Prec@5 85.156 (84.543) Epoch: [60][8850/10010] Time 0.340 (0.326) Data 0.001 (0.001) Loss 1.4791 (1.5341) Prec@1 62.500 (64.793) Prec@5 86.719 (84.544) Epoch: [60][8860/10010] Time 0.331 (0.326) Data 0.001 (0.001) Loss 1.5776 (1.5341) Prec@1 65.625 (64.793) Prec@5 81.250 (84.544) Epoch: [60][8870/10010] Time 0.329 (0.326) Data 0.000 (0.001) Loss 1.4082 (1.5339) Prec@1 70.312 (64.795) Prec@5 87.500 (84.547) Epoch: [60][8880/10010] Time 0.341 (0.326) Data 0.001 (0.001) Loss 1.5526 (1.5339) Prec@1 63.281 (64.794) Prec@5 85.938 (84.548) Epoch: [60][8890/10010] Time 0.323 (0.326) Data 0.000 (0.001) Loss 1.2720 (1.5338) Prec@1 63.281 (64.796) Prec@5 89.062 (84.549) Epoch: [60][8900/10010] Time 0.336 (0.326) Data 0.000 (0.001) Loss 1.7096 (1.5338) Prec@1 64.062 (64.798) Prec@5 80.469 (84.550) Epoch: [60][8910/10010] Time 0.310 (0.326) Data 0.001 (0.001) Loss 1.3930 (1.5337) Prec@1 62.500 (64.800) Prec@5 88.281 (84.551) Epoch: [60][8920/10010] Time 0.342 (0.326) Data 0.001 (0.001) Loss 1.2569 (1.5336) Prec@1 71.094 (64.802) Prec@5 86.719 (84.553) Epoch: [60][8930/10010] Time 0.321 (0.326) Data 0.000 (0.001) Loss 1.4508 (1.5335) Prec@1 64.844 (64.802) Prec@5 83.594 (84.552) Epoch: [60][8940/10010] Time 0.331 (0.326) Data 0.001 (0.001) Loss 1.4376 (1.5335) Prec@1 64.844 (64.802) Prec@5 86.719 (84.552) Epoch: [60][8950/10010] Time 0.320 (0.326) Data 0.001 (0.001) Loss 1.6639 (1.5335) Prec@1 60.156 (64.803) Prec@5 82.812 (84.551) Epoch: [60][8960/10010] Time 0.331 (0.326) Data 0.001 (0.001) Loss 1.8290 (1.5335) Prec@1 56.250 (64.803) Prec@5 78.906 (84.550) Epoch: [60][8970/10010] Time 0.342 (0.326) Data 0.001 (0.001) Loss 1.7777 (1.5335) Prec@1 57.031 (64.802) Prec@5 82.812 (84.550) Epoch: [60][8980/10010] Time 0.331 (0.326) Data 0.001 (0.001) Loss 1.5657 (1.5335) Prec@1 67.969 (64.802) Prec@5 85.156 (84.550) Epoch: [60][8990/10010] Time 0.317 (0.326) Data 0.001 (0.001) Loss 1.4277 (1.5335) Prec@1 65.625 (64.802) Prec@5 85.938 (84.551) Epoch: [60][9000/10010] Time 0.321 (0.326) Data 0.001 (0.001) Loss 1.3810 (1.5334) Prec@1 68.750 (64.803) Prec@5 86.719 (84.552) Epoch: [60][9010/10010] Time 0.332 (0.326) Data 0.000 (0.001) Loss 1.4713 (1.5335) Prec@1 67.969 (64.802) Prec@5 85.938 (84.551) Epoch: [60][9020/10010] Time 0.314 (0.326) Data 0.000 (0.001) Loss 1.7410 (1.5335) Prec@1 63.281 (64.802) Prec@5 80.469 (84.551) Epoch: [60][9030/10010] Time 0.319 (0.326) Data 0.000 (0.001) Loss 1.6230 (1.5334) Prec@1 64.062 (64.803) Prec@5 84.375 (84.552) Epoch: [60][9040/10010] Time 0.326 (0.326) Data 0.001 (0.001) Loss 1.6493 (1.5334) Prec@1 59.375 (64.803) Prec@5 82.031 (84.552) Epoch: [60][9050/10010] Time 0.345 (0.326) Data 0.000 (0.001) Loss 1.5056 (1.5333) Prec@1 63.281 (64.805) Prec@5 86.719 (84.553) Epoch: [60][9060/10010] Time 0.319 (0.326) Data 0.001 (0.001) Loss 1.3970 (1.5332) Prec@1 64.062 (64.807) Prec@5 85.156 (84.554) Epoch: [60][9070/10010] Time 0.326 (0.326) Data 0.000 (0.001) Loss 1.5618 (1.5331) Prec@1 65.625 (64.808) Prec@5 83.594 (84.556) Epoch: [60][9080/10010] Time 0.332 (0.326) Data 0.001 (0.001) Loss 1.2648 (1.5331) Prec@1 69.531 (64.807) Prec@5 88.281 (84.556) Epoch: [60][9090/10010] Time 0.321 (0.326) Data 0.001 (0.001) Loss 1.3177 (1.5331) Prec@1 73.438 (64.809) Prec@5 87.500 (84.557) Epoch: [60][9100/10010] Time 0.340 (0.326) Data 0.001 (0.001) Loss 1.2362 (1.5330) Prec@1 71.094 (64.812) Prec@5 88.281 (84.558) Epoch: [60][9110/10010] Time 0.309 (0.326) Data 0.000 (0.001) Loss 1.9756 (1.5330) Prec@1 60.156 (64.815) Prec@5 81.250 (84.558) Epoch: [60][9120/10010] Time 0.338 (0.326) Data 0.000 (0.001) Loss 1.4137 (1.5328) Prec@1 64.062 (64.819) Prec@5 85.938 (84.561) Epoch: [60][9130/10010] Time 0.332 (0.326) Data 0.000 (0.001) Loss 1.6030 (1.5328) Prec@1 64.844 (64.821) Prec@5 85.156 (84.561) Epoch: [60][9140/10010] Time 0.333 (0.326) Data 0.001 (0.001) Loss 1.7086 (1.5327) Prec@1 55.469 (64.821) Prec@5 82.031 (84.562) Epoch: [60][9150/10010] Time 0.316 (0.326) Data 0.000 (0.001) Loss 1.4783 (1.5328) Prec@1 65.625 (64.820) Prec@5 84.375 (84.562) Epoch: [60][9160/10010] Time 0.327 (0.326) Data 0.001 (0.001) Loss 1.4472 (1.5327) Prec@1 64.062 (64.820) Prec@5 87.500 (84.563) Epoch: [60][9170/10010] Time 0.322 (0.326) Data 0.001 (0.001) Loss 1.7941 (1.5327) Prec@1 60.156 (64.821) Prec@5 82.031 (84.564) Epoch: [60][9180/10010] Time 0.312 (0.326) Data 0.001 (0.001) Loss 1.3879 (1.5325) Prec@1 63.281 (64.824) Prec@5 88.281 (84.567) Epoch: [60][9190/10010] Time 0.327 (0.326) Data 0.001 (0.001) Loss 1.3894 (1.5323) Prec@1 69.531 (64.825) Prec@5 87.500 (84.569) Epoch: [60][9200/10010] Time 0.319 (0.326) Data 0.001 (0.001) Loss 1.7788 (1.5324) Prec@1 58.594 (64.824) Prec@5 81.250 (84.569) Epoch: [60][9210/10010] Time 0.321 (0.326) Data 0.001 (0.001) Loss 1.4437 (1.5324) Prec@1 67.969 (64.823) Prec@5 88.281 (84.569) Epoch: [60][9220/10010] Time 0.330 (0.326) Data 0.001 (0.001) Loss 1.5372 (1.5324) Prec@1 65.625 (64.824) Prec@5 86.719 (84.569) Epoch: [60][9230/10010] Time 0.327 (0.326) Data 0.001 (0.001) Loss 1.3497 (1.5323) Prec@1 66.406 (64.825) Prec@5 89.844 (84.569) Epoch: [60][9240/10010] Time 0.325 (0.326) Data 0.001 (0.001) Loss 1.7670 (1.5323) Prec@1 60.938 (64.825) Prec@5 82.812 (84.570) Epoch: [60][9250/10010] Time 0.330 (0.326) Data 0.001 (0.001) Loss 1.6751 (1.5324) Prec@1 59.375 (64.822) Prec@5 84.375 (84.569) Epoch: [60][9260/10010] Time 0.321 (0.326) Data 0.001 (0.001) Loss 1.5145 (1.5323) Prec@1 62.500 (64.824) Prec@5 85.156 (84.572) Epoch: [60][9270/10010] Time 0.315 (0.326) Data 0.001 (0.001) Loss 1.2257 (1.5322) Prec@1 68.750 (64.827) Prec@5 92.188 (84.574) Epoch: [60][9280/10010] Time 0.333 (0.326) Data 0.001 (0.001) Loss 1.9168 (1.5322) Prec@1 55.469 (64.826) Prec@5 79.688 (84.573) Epoch: [60][9290/10010] Time 0.334 (0.327) Data 0.001 (0.001) Loss 1.3767 (1.5321) Prec@1 68.750 (64.826) Prec@5 85.156 (84.575) Epoch: [60][9300/10010] Time 0.337 (0.327) Data 0.001 (0.001) Loss 1.4199 (1.5321) Prec@1 65.625 (64.825) Prec@5 85.156 (84.576) Epoch: [60][9310/10010] Time 0.339 (0.327) Data 0.001 (0.001) Loss 1.5759 (1.5320) Prec@1 60.938 (64.826) Prec@5 84.375 (84.576) Epoch: [60][9320/10010] Time 0.330 (0.327) Data 0.001 (0.001) Loss 1.2743 (1.5320) Prec@1 68.750 (64.826) Prec@5 86.719 (84.576) Epoch: [60][9330/10010] Time 0.335 (0.327) Data 0.000 (0.001) Loss 1.6236 (1.5320) Prec@1 67.969 (64.826) Prec@5 81.250 (84.575) Epoch: [60][9340/10010] Time 0.321 (0.327) Data 0.001 (0.001) Loss 1.6363 (1.5319) Prec@1 57.812 (64.830) Prec@5 85.156 (84.577) Epoch: [60][9350/10010] Time 0.320 (0.327) Data 0.001 (0.001) Loss 1.4588 (1.5318) Prec@1 60.938 (64.832) Prec@5 87.500 (84.579) Epoch: [60][9360/10010] Time 0.315 (0.327) Data 0.001 (0.001) Loss 1.4179 (1.5318) Prec@1 65.625 (64.833) Prec@5 84.375 (84.579) Epoch: [60][9370/10010] Time 0.315 (0.327) Data 0.000 (0.001) Loss 1.3576 (1.5317) Prec@1 69.531 (64.835) Prec@5 87.500 (84.581) Epoch: [60][9380/10010] Time 0.333 (0.327) Data 0.001 (0.001) Loss 1.6189 (1.5316) Prec@1 60.156 (64.835) Prec@5 80.469 (84.583) Epoch: [60][9390/10010] Time 0.320 (0.327) Data 0.001 (0.001) Loss 1.3016 (1.5315) Prec@1 71.094 (64.836) Prec@5 89.844 (84.584) Epoch: [60][9400/10010] Time 0.317 (0.327) Data 0.001 (0.001) Loss 1.4074 (1.5314) Prec@1 67.188 (64.838) Prec@5 89.062 (84.586) Epoch: [60][9410/10010] Time 0.314 (0.327) Data 0.001 (0.001) Loss 1.4435 (1.5313) Prec@1 63.281 (64.839) Prec@5 88.281 (84.588) Epoch: [60][9420/10010] Time 0.329 (0.327) Data 0.001 (0.001) Loss 1.3353 (1.5313) Prec@1 70.312 (64.839) Prec@5 87.500 (84.587) Epoch: [60][9430/10010] Time 0.319 (0.327) Data 0.001 (0.001) Loss 1.4809 (1.5313) Prec@1 65.625 (64.839) Prec@5 85.938 (84.586) Epoch: [60][9440/10010] Time 0.321 (0.327) Data 0.001 (0.001) Loss 1.8793 (1.5311) Prec@1 62.500 (64.843) Prec@5 79.688 (84.588) Epoch: [60][9450/10010] Time 0.333 (0.327) Data 0.001 (0.001) Loss 1.6465 (1.5311) Prec@1 65.625 (64.844) Prec@5 82.812 (84.590) Epoch: [60][9460/10010] Time 0.316 (0.326) Data 0.000 (0.001) Loss 1.5220 (1.5310) Prec@1 67.188 (64.844) Prec@5 85.156 (84.590) Epoch: [60][9470/10010] Time 0.313 (0.326) Data 0.001 (0.001) Loss 1.1528 (1.5310) Prec@1 73.438 (64.845) Prec@5 86.719 (84.591) Epoch: [60][9480/10010] Time 0.340 (0.326) Data 0.000 (0.001) Loss 1.5957 (1.5310) Prec@1 64.844 (64.844) Prec@5 82.812 (84.591) Epoch: [60][9490/10010] Time 0.323 (0.327) Data 0.001 (0.001) Loss 1.4487 (1.5309) Prec@1 64.844 (64.845) Prec@5 87.500 (84.593) Epoch: [60][9500/10010] Time 0.331 (0.327) Data 0.001 (0.001) Loss 1.2649 (1.5308) Prec@1 69.531 (64.846) Prec@5 92.969 (84.594) Epoch: [60][9510/10010] Time 0.335 (0.327) Data 0.000 (0.001) Loss 1.3323 (1.5307) Prec@1 64.844 (64.848) Prec@5 85.938 (84.595) Epoch: [60][9520/10010] Time 0.322 (0.327) Data 0.000 (0.001) Loss 1.7293 (1.5307) Prec@1 63.281 (64.848) Prec@5 81.250 (84.595) Epoch: [60][9530/10010] Time 0.333 (0.327) Data 0.001 (0.001) Loss 1.5904 (1.5307) Prec@1 64.062 (64.849) Prec@5 82.031 (84.593) Epoch: [60][9540/10010] Time 0.314 (0.327) Data 0.000 (0.001) Loss 1.4768 (1.5307) Prec@1 63.281 (64.847) Prec@5 87.500 (84.592) Epoch: [60][9550/10010] Time 0.339 (0.327) Data 0.001 (0.001) Loss 1.5853 (1.5307) Prec@1 67.969 (64.846) Prec@5 83.594 (84.592) Epoch: [60][9560/10010] Time 0.339 (0.327) Data 0.001 (0.001) Loss 1.5064 (1.5306) Prec@1 65.625 (64.847) Prec@5 82.812 (84.593) Epoch: [60][9570/10010] Time 0.329 (0.327) Data 0.001 (0.001) Loss 1.4204 (1.5306) Prec@1 70.312 (64.849) Prec@5 85.156 (84.594) /data/vision/torralba/deepscene/lib/anaconda2/lib/python2.7/site-packages/PIL/TiffImagePlugin.py:692: UserWarning: Possibly corrupt EXIF data. Expecting to read 2555904 bytes but only got 0. Skipping tag 0 "Skipping tag %s" % (size, len(data), tag)) Epoch: [60][9580/10010] Time 0.330 (0.327) Data 0.001 (0.001) Loss 1.7206 (1.5305) Prec@1 62.500 (64.849) Prec@5 80.469 (84.594) Epoch: [60][9590/10010] Time 0.339 (0.327) Data 0.001 (0.001) Loss 1.5086 (1.5304) Prec@1 65.625 (64.851) Prec@5 85.938 (84.596) Epoch: [60][9600/10010] Time 0.321 (0.327) Data 0.000 (0.001) Loss 1.5322 (1.5304) Prec@1 66.406 (64.852) Prec@5 84.375 (84.596) Epoch: [60][9610/10010] Time 0.309 (0.327) Data 0.001 (0.001) Loss 1.5076 (1.5303) Prec@1 64.062 (64.853) Prec@5 81.250 (84.597) Epoch: [60][9620/10010] Time 0.326 (0.327) Data 0.000 (0.001) Loss 1.3508 (1.5303) Prec@1 69.531 (64.853) Prec@5 87.500 (84.598) Epoch: [60][9630/10010] Time 0.328 (0.327) Data 0.000 (0.001) Loss 1.4809 (1.5303) Prec@1 64.844 (64.853) Prec@5 84.375 (84.599) Epoch: [60][9640/10010] Time 0.318 (0.327) Data 0.000 (0.001) Loss 1.0944 (1.5302) Prec@1 71.875 (64.854) Prec@5 91.406 (84.598) Epoch: [60][9650/10010] Time 0.331 (0.327) Data 0.001 (0.001) Loss 1.8610 (1.5303) Prec@1 58.594 (64.852) Prec@5 82.031 (84.597) Epoch: [60][9660/10010] Time 0.334 (0.327) Data 0.001 (0.001) Loss 1.5110 (1.5303) Prec@1 62.500 (64.852) Prec@5 85.156 (84.598) Epoch: [60][9670/10010] Time 0.329 (0.327) Data 0.000 (0.001) Loss 1.5886 (1.5303) Prec@1 62.500 (64.852) Prec@5 83.594 (84.597) Epoch: [60][9680/10010] Time 0.324 (0.327) Data 0.000 (0.001) Loss 1.3398 (1.5303) Prec@1 67.188 (64.852) Prec@5 87.500 (84.598) Epoch: [60][9690/10010] Time 0.337 (0.327) Data 0.000 (0.001) Loss 1.4982 (1.5302) Prec@1 65.625 (64.852) Prec@5 86.719 (84.598) Epoch: [60][9700/10010] Time 0.309 (0.327) Data 0.001 (0.001) Loss 1.6885 (1.5302) Prec@1 63.281 (64.854) Prec@5 81.250 (84.599) Epoch: [60][9710/10010] Time 0.337 (0.327) Data 0.001 (0.001) Loss 1.4824 (1.5302) Prec@1 63.281 (64.854) Prec@5 82.812 (84.597) Epoch: [60][9720/10010] Time 0.327 (0.327) Data 0.001 (0.001) Loss 1.8662 (1.5302) Prec@1 58.594 (64.853) Prec@5 79.688 (84.597) Epoch: [60][9730/10010] Time 0.341 (0.327) Data 0.000 (0.001) Loss 1.3289 (1.5301) Prec@1 70.312 (64.855) Prec@5 86.719 (84.598) Epoch: [60][9740/10010] Time 0.318 (0.327) Data 0.000 (0.001) Loss 1.5613 (1.5302) Prec@1 64.844 (64.854) Prec@5 85.156 (84.599) Epoch: [60][9750/10010] Time 0.313 (0.327) Data 0.001 (0.001) Loss 1.3062 (1.5301) Prec@1 69.531 (64.855) Prec@5 85.938 (84.600) Epoch: [60][9760/10010] Time 0.317 (0.327) Data 0.001 (0.001) Loss 1.6350 (1.5301) Prec@1 59.375 (64.854) Prec@5 84.375 (84.599) Epoch: [60][9770/10010] Time 0.325 (0.327) Data 0.001 (0.001) Loss 1.5151 (1.5301) Prec@1 65.625 (64.853) Prec@5 86.719 (84.600) Epoch: [60][9780/10010] Time 0.318 (0.327) Data 0.001 (0.001) Loss 1.3830 (1.5300) Prec@1 67.188 (64.856) Prec@5 89.062 (84.602) Epoch: [60][9790/10010] Time 0.321 (0.327) Data 0.001 (0.001) Loss 1.5616 (1.5299) Prec@1 63.281 (64.858) Prec@5 82.031 (84.603) Epoch: [60][9800/10010] Time 0.328 (0.327) Data 0.000 (0.001) Loss 1.5526 (1.5298) Prec@1 63.281 (64.858) Prec@5 84.375 (84.604) Epoch: [60][9810/10010] Time 0.323 (0.327) Data 0.000 (0.001) Loss 1.6968 (1.5298) Prec@1 62.500 (64.859) Prec@5 80.469 (84.604) Epoch: [60][9820/10010] Time 0.338 (0.327) Data 0.001 (0.001) Loss 1.7156 (1.5299) Prec@1 60.938 (64.860) Prec@5 83.594 (84.604) Epoch: [60][9830/10010] Time 0.320 (0.327) Data 0.001 (0.001) Loss 1.4655 (1.5298) Prec@1 68.750 (64.860) Prec@5 85.156 (84.605) Epoch: [60][9840/10010] Time 0.319 (0.327) Data 0.000 (0.001) Loss 1.4436 (1.5299) Prec@1 66.406 (64.859) Prec@5 82.031 (84.603) Epoch: [60][9850/10010] Time 0.316 (0.327) Data 0.001 (0.001) Loss 1.3683 (1.5297) Prec@1 70.312 (64.862) Prec@5 83.594 (84.605) Epoch: [60][9860/10010] Time 0.334 (0.327) Data 0.001 (0.001) Loss 1.3203 (1.5297) Prec@1 65.625 (64.863) Prec@5 88.281 (84.605) Epoch: [60][9870/10010] Time 0.313 (0.327) Data 0.001 (0.001) Loss 1.2885 (1.5297) Prec@1 66.406 (64.864) Prec@5 89.062 (84.604) Epoch: [60][9880/10010] Time 0.332 (0.327) Data 0.001 (0.001) Loss 1.4535 (1.5297) Prec@1 67.188 (64.866) Prec@5 84.375 (84.605) Epoch: [60][9890/10010] Time 0.329 (0.327) Data 0.000 (0.001) Loss 1.6376 (1.5298) Prec@1 61.719 (64.864) Prec@5 82.031 (84.602) Epoch: [60][9900/10010] Time 0.340 (0.327) Data 0.001 (0.001) Loss 1.4870 (1.5297) Prec@1 67.969 (64.866) Prec@5 85.938 (84.603) Epoch: [60][9910/10010] Time 0.342 (0.327) Data 0.001 (0.001) Loss 1.6163 (1.5297) Prec@1 64.844 (64.867) Prec@5 83.594 (84.603) Epoch: [60][9920/10010] Time 0.332 (0.327) Data 0.001 (0.001) Loss 1.5977 (1.5296) Prec@1 60.156 (64.869) Prec@5 89.844 (84.605) Epoch: [60][9930/10010] Time 0.324 (0.327) Data 0.000 (0.001) Loss 1.3221 (1.5295) Prec@1 69.531 (64.869) Prec@5 84.375 (84.605) Epoch: [60][9940/10010] Time 0.319 (0.327) Data 0.000 (0.001) Loss 1.8616 (1.5295) Prec@1 60.156 (64.872) Prec@5 85.156 (84.606) Epoch: [60][9950/10010] Time 0.335 (0.327) Data 0.001 (0.001) Loss 1.3360 (1.5294) Prec@1 69.531 (64.872) Prec@5 88.281 (84.608) Epoch: [60][9960/10010] Time 0.316 (0.327) Data 0.001 (0.001) Loss 1.3918 (1.5295) Prec@1 67.969 (64.871) Prec@5 87.500 (84.607) Epoch: [60][9970/10010] Time 0.332 (0.327) Data 0.000 (0.001) Loss 1.5112 (1.5294) Prec@1 61.719 (64.873) Prec@5 84.375 (84.608) Epoch: [60][9980/10010] Time 0.318 (0.327) Data 0.000 (0.001) Loss 1.5079 (1.5293) Prec@1 61.719 (64.873) Prec@5 85.938 (84.610) Epoch: [60][9990/10010] Time 0.338 (0.327) Data 0.001 (0.001) Loss 1.4608 (1.5292) Prec@1 62.500 (64.874) Prec@5 87.500 (84.611) Epoch: [60][10000/10010] Time 0.319 (0.327) Data 0.000 (0.001) Loss 1.4768 (1.5292) Prec@1 62.500 (64.873) Prec@5 89.062 (84.611) Test: [0/391] Time 1.428 (1.428) Loss 0.7422 (0.7422) Prec@1 82.812 (82.812) Prec@5 94.531 (94.531) Test: [10/391] Time 0.101 (0.224) Loss 1.2500 (0.6830) Prec@1 70.312 (83.168) Prec@5 89.062 (94.886) Test: [20/391] Time 0.105 (0.171) Loss 0.8910 (0.9403) Prec@1 78.906 (76.897) Prec@5 90.625 (92.225) Test: [30/391] Time 0.108 (0.149) Loss 1.6711 (1.0852) Prec@1 66.406 (72.933) Prec@5 85.156 (91.154) Test: [40/391] Time 0.111 (0.139) Loss 0.9235 (0.9705) Prec@1 76.562 (75.629) Prec@5 92.969 (92.283) Test: [50/391] Time 0.106 (0.133) Loss 0.6221 (0.9988) Prec@1 83.594 (75.398) Prec@5 95.312 (91.774) Test: [60/391] Time 0.106 (0.129) Loss 1.0055 (0.9418) Prec@1 75.781 (76.908) Prec@5 90.625 (92.277) Test: [70/391] Time 0.108 (0.127) Loss 1.1316 (0.9738) Prec@1 68.750 (75.803) Prec@5 95.312 (92.254) Test: [80/391] Time 0.102 (0.125) Loss 1.0056 (0.9928) Prec@1 71.875 (74.981) Prec@5 92.188 (92.255) Test: [90/391] Time 0.109 (0.123) Loss 1.1218 (0.9950) Prec@1 63.281 (74.863) Prec@5 96.094 (92.394) Test: [100/391] Time 0.151 (0.121) Loss 0.7852 (0.9849) Prec@1 79.688 (74.722) Prec@5 95.312 (92.667) Test: [110/391] Time 0.105 (0.120) Loss 1.4115 (0.9882) Prec@1 47.656 (74.395) Prec@5 93.750 (92.793) Test: [120/391] Time 0.103 (0.119) Loss 0.8395 (0.9830) Prec@1 77.344 (74.613) Prec@5 94.531 (92.898) Test: [130/391] Time 0.106 (0.118) Loss 0.4842 (0.9753) Prec@1 91.406 (75.012) Prec@5 95.312 (92.951) Test: [140/391] Time 0.111 (0.117) Loss 1.2198 (0.9734) Prec@1 69.531 (75.011) Prec@5 90.625 (93.008) Test: [150/391] Time 0.105 (0.116) Loss 0.9533 (0.9784) Prec@1 71.094 (74.995) Prec@5 93.750 (92.876) Test: [160/391] Time 0.105 (0.116) Loss 1.0389 (0.9859) Prec@1 72.656 (74.825) Prec@5 92.969 (92.784) Test: [170/391] Time 0.102 (0.116) Loss 1.5700 (1.0170) Prec@1 59.375 (74.219) Prec@5 88.281 (92.439) Test: [180/391] Time 0.112 (0.115) Loss 2.0838 (1.0493) Prec@1 49.219 (73.515) Prec@5 83.594 (92.049) Test: [190/391] Time 0.104 (0.115) Loss 2.0077 (1.0843) Prec@1 57.031 (72.795) Prec@5 82.031 (91.570) Test: [200/391] Time 0.109 (0.114) Loss 1.2402 (1.1147) Prec@1 69.531 (72.201) Prec@5 89.062 (91.161) Test: [210/391] Time 0.110 (0.114) Loss 1.5147 (1.1341) Prec@1 65.625 (71.816) Prec@5 88.281 (90.906) Test: [220/391] Time 0.110 (0.114) Loss 0.7224 (1.1466) Prec@1 82.031 (71.610) Prec@5 94.531 (90.646) Test: [230/391] Time 0.102 (0.113) Loss 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0.107 (0.112) Loss 1.9736 (1.2881) Prec@1 53.906 (68.885) Prec@5 77.344 (88.675) Test: [340/391] Time 0.117 (0.112) Loss 1.0897 (1.2925) Prec@1 69.531 (68.752) Prec@5 93.750 (88.616) Test: [350/391] Time 0.103 (0.112) Loss 1.2734 (1.2977) Prec@1 70.312 (68.645) Prec@5 90.625 (88.542) Test: [360/391] Time 0.109 (0.111) Loss 1.4003 (1.3061) Prec@1 60.938 (68.475) Prec@5 91.406 (88.483) Test: [370/391] Time 0.106 (0.111) Loss 1.1380 (1.2995) Prec@1 64.844 (68.563) Prec@5 96.094 (88.589) Test: [380/391] Time 0.109 (0.111) Loss 1.0181 (1.2999) Prec@1 75.000 (68.543) Prec@5 92.969 (88.591) Test: [390/391] Time 0.076 (0.111) Loss 2.0285 (1.2922) Prec@1 41.250 (68.728) Prec@5 82.500 (88.702) * Prec@1 68.728 Prec@5 88.702 Epoch: [61][0/10010] Time 2.699 (2.699) Data 2.515 (2.515) Loss 1.3555 (1.3555) Prec@1 71.875 (71.875) Prec@5 86.719 (86.719) Epoch: [61][10/10010] Time 0.316 (0.533) Data 0.000 (0.229) Loss 1.3683 (1.4333) Prec@1 71.875 (67.259) Prec@5 83.594 (86.506) Epoch: [61][20/10010] Time 0.319 (0.430) Data 0.000 (0.120) Loss 1.3387 (1.4564) Prec@1 68.750 (66.815) Prec@5 85.156 (85.975) Epoch: [61][30/10010] Time 0.313 (0.394) Data 0.001 (0.082) Loss 1.3286 (1.4746) Prec@1 70.312 (66.709) Prec@5 87.500 (85.509) Epoch: [61][40/10010] Time 0.322 (0.375) Data 0.000 (0.062) Loss 1.4779 (1.4610) Prec@1 65.625 (66.749) Prec@5 83.594 (85.785) Epoch: [61][50/10010] Time 0.318 (0.365) Data 0.001 (0.050) Loss 1.5641 (1.4735) Prec@1 67.969 (66.483) Prec@5 82.812 (85.677) Epoch: [61][60/10010] Time 0.328 (0.359) Data 0.001 (0.042) Loss 1.6917 (1.4667) Prec@1 57.031 (66.189) Prec@5 79.688 (85.733) Epoch: [61][70/10010] Time 0.330 (0.354) Data 0.001 (0.036) Loss 1.3706 (1.4622) Prec@1 66.406 (66.252) Prec@5 86.719 (85.794) Epoch: [61][80/10010] Time 0.324 (0.351) Data 0.001 (0.032) Loss 1.5514 (1.4616) Prec@1 67.969 (66.175) Prec@5 80.469 (85.764) Epoch: [61][90/10010] Time 0.316 (0.348) Data 0.001 (0.028) Loss 1.5504 (1.4756) Prec@1 63.281 (65.874) Prec@5 84.375 (85.560) Epoch: [61][100/10010] Time 0.342 (0.347) Data 0.001 (0.026) Loss 1.4058 (1.4758) Prec@1 69.531 (65.919) Prec@5 85.938 (85.605) Epoch: [61][110/10010] Time 0.334 (0.345) Data 0.001 (0.023) Loss 1.1980 (1.4672) Prec@1 72.656 (66.146) Prec@5 88.281 (85.740) Epoch: [61][120/10010] Time 0.321 (0.343) Data 0.001 (0.021) Loss 1.3680 (1.4650) Prec@1 67.188 (66.245) Prec@5 83.594 (85.679) Epoch: [61][130/10010] Time 0.334 (0.342) Data 0.000 (0.020) Loss 1.2413 (1.4611) Prec@1 69.531 (66.353) Prec@5 90.625 (85.747) Epoch: [61][140/10010] Time 0.335 (0.341) Data 0.001 (0.018) Loss 1.4904 (1.4545) Prec@1 63.281 (66.473) Prec@5 85.938 (85.755) Epoch: [61][150/10010] Time 0.332 (0.341) Data 0.001 (0.017) Loss 1.4785 (1.4604) Prec@1 66.406 (66.427) Prec@5 83.594 (85.689) Epoch: [61][160/10010] Time 0.319 (0.340) Data 0.000 (0.016) Loss 1.3792 (1.4604) Prec@1 70.312 (66.363) Prec@5 85.156 (85.714) Epoch: [61][170/10010] Time 0.334 (0.339) Data 0.001 (0.015) Loss 1.3931 (1.4599) Prec@1 71.094 (66.374) Prec@5 84.375 (85.723) Epoch: [61][180/10010] Time 0.314 (0.338) Data 0.001 (0.015) Loss 1.4830 (1.4645) Prec@1 64.844 (66.298) Prec@5 82.812 (85.588) Epoch: [61][190/10010] Time 0.329 (0.337) Data 0.000 (0.014) Loss 1.3866 (1.4664) Prec@1 67.188 (66.198) Prec@5 86.719 (85.557) Epoch: [61][200/10010] Time 0.334 (0.337) Data 0.000 (0.013) Loss 1.8032 (1.4684) Prec@1 60.156 (66.154) Prec@5 78.906 (85.533) Epoch: [61][210/10010] Time 0.340 (0.337) Data 0.001 (0.013) Loss 1.6402 (1.4744) Prec@1 63.281 (66.017) Prec@5 82.812 (85.471) Epoch: [61][220/10010] Time 0.328 (0.336) Data 0.001 (0.012) Loss 1.5705 (1.4766) Prec@1 66.406 (65.975) Prec@5 85.938 (85.478) Epoch: [61][230/10010] Time 0.322 (0.336) Data 0.000 (0.012) Loss 1.7261 (1.4799) Prec@1 63.281 (65.936) Prec@5 82.031 (85.450) Epoch: [61][240/10010] Time 0.330 (0.335) Data 0.000 (0.011) Loss 1.4406 (1.4774) Prec@1 67.188 (65.978) Prec@5 82.812 (85.484) Epoch: [61][250/10010] Time 0.331 (0.335) Data 0.001 (0.011) Loss 1.1027 (1.4763) Prec@1 76.562 (66.027) Prec@5 89.062 (85.452) Epoch: [61][260/10010] Time 0.334 (0.335) Data 0.000 (0.010) Loss 1.7594 (1.4793) Prec@1 61.719 (65.999) Prec@5 84.375 (85.402) Epoch: [61][270/10010] Time 0.325 (0.335) Data 0.001 (0.010) Loss 1.5067 (1.4777) Prec@1 65.625 (66.060) Prec@5 88.281 (85.419) Epoch: [61][280/10010] Time 0.332 (0.334) Data 0.001 (0.010) Loss 1.6605 (1.4790) Prec@1 63.281 (66.014) Prec@5 80.469 (85.434) Epoch: [61][290/10010] Time 0.340 (0.334) Data 0.000 (0.009) Loss 1.5897 (1.4826) Prec@1 64.844 (65.883) Prec@5 84.375 (85.358) Epoch: [61][300/10010] Time 0.332 (0.334) Data 0.001 (0.009) Loss 1.3158 (1.4793) Prec@1 69.531 (65.929) Prec@5 88.281 (85.416) Epoch: [61][310/10010] Time 0.336 (0.334) Data 0.001 (0.009) Loss 1.6159 (1.4782) Prec@1 60.938 (65.906) Prec@5 83.594 (85.428) Epoch: [61][320/10010] Time 0.336 (0.334) Data 0.001 (0.008) Loss 1.3652 (1.4765) Prec@1 64.062 (65.939) Prec@5 85.938 (85.424) Epoch: [61][330/10010] Time 0.336 (0.333) Data 0.000 (0.008) Loss 1.6126 (1.4803) Prec@1 64.844 (65.875) Prec@5 83.594 (85.395) Epoch: [61][340/10010] Time 0.313 (0.333) Data 0.001 (0.008) Loss 1.6984 (1.4810) Prec@1 61.719 (65.870) Prec@5 77.344 (85.362) Epoch: [61][350/10010] Time 0.333 (0.333) Data 0.001 (0.008) Loss 1.3186 (1.4803) Prec@1 66.406 (65.928) Prec@5 87.500 (85.383) Epoch: [61][360/10010] Time 0.315 (0.333) Data 0.001 (0.008) Loss 1.6557 (1.4783) Prec@1 62.500 (65.928) Prec@5 82.812 (85.409) Epoch: [61][370/10010] Time 0.315 (0.332) Data 0.001 (0.007) Loss 1.3339 (1.4777) Prec@1 69.531 (65.895) Prec@5 88.281 (85.392) Epoch: [61][380/10010] Time 0.322 (0.332) Data 0.001 (0.007) Loss 1.5684 (1.4767) Prec@1 61.719 (65.935) Prec@5 81.250 (85.386) Epoch: [61][390/10010] Time 0.320 (0.332) Data 0.001 (0.007) Loss 1.5820 (1.4777) Prec@1 66.406 (65.923) Prec@5 86.719 (85.374) Epoch: [61][400/10010] Time 0.332 (0.332) Data 0.000 (0.007) Loss 1.2887 (1.4766) Prec@1 70.312 (65.950) Prec@5 87.500 (85.369) Epoch: [61][410/10010] Time 0.321 (0.331) 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[61][490/10010] Time 0.328 (0.331) Data 0.001 (0.006) Loss 1.5429 (1.4793) Prec@1 66.406 (65.916) Prec@5 85.938 (85.296) Epoch: [61][500/10010] Time 0.316 (0.331) Data 0.001 (0.006) Loss 1.2332 (1.4790) Prec@1 69.531 (65.912) Prec@5 91.406 (85.309) Epoch: [61][510/10010] Time 0.331 (0.331) Data 0.001 (0.006) Loss 2.0651 (1.4797) Prec@1 56.250 (65.900) Prec@5 71.875 (85.280) Epoch: [61][520/10010] Time 0.320 (0.330) Data 0.000 (0.005) Loss 1.5566 (1.4795) Prec@1 67.188 (65.883) Prec@5 83.594 (85.276) Epoch: [61][530/10010] Time 0.324 (0.330) Data 0.001 (0.005) Loss 1.2619 (1.4796) Prec@1 64.844 (65.859) Prec@5 89.062 (85.303) Epoch: [61][540/10010] Time 0.317 (0.330) Data 0.001 (0.005) Loss 1.3637 (1.4815) Prec@1 64.844 (65.832) Prec@5 83.594 (85.280) Epoch: [61][550/10010] Time 0.321 (0.330) Data 0.001 (0.005) Loss 1.5486 (1.4823) Prec@1 60.156 (65.818) Prec@5 83.594 (85.277) Epoch: [61][560/10010] Time 0.315 (0.330) Data 0.000 (0.005) Loss 1.8268 (1.4825) Prec@1 53.125 (65.796) Prec@5 82.812 (85.273) Epoch: [61][570/10010] Time 0.343 (0.330) Data 0.001 (0.005) Loss 1.6217 (1.4823) Prec@1 64.062 (65.826) Prec@5 85.156 (85.274) Epoch: [61][580/10010] Time 0.322 (0.330) Data 0.001 (0.005) Loss 1.7367 (1.4831) Prec@1 63.281 (65.804) Prec@5 82.031 (85.280) Epoch: [61][590/10010] Time 0.330 (0.330) Data 0.000 (0.005) Loss 1.1783 (1.4829) Prec@1 75.781 (65.827) Prec@5 90.625 (85.290) Epoch: [61][600/10010] Time 0.324 (0.330) Data 0.001 (0.005) Loss 1.3519 (1.4809) Prec@1 67.188 (65.852) Prec@5 91.406 (85.328) Epoch: [61][610/10010] Time 0.332 (0.330) Data 0.001 (0.005) Loss 1.5370 (1.4803) Prec@1 63.281 (65.874) Prec@5 78.125 (85.319) Epoch: [61][620/10010] Time 0.336 (0.330) Data 0.001 (0.005) Loss 1.4213 (1.4802) Prec@1 67.969 (65.855) Prec@5 86.719 (85.325) Epoch: [61][630/10010] Time 0.333 (0.330) Data 0.001 (0.005) Loss 1.5627 (1.4806) Prec@1 67.188 (65.863) Prec@5 85.938 (85.325) Epoch: [61][640/10010] Time 0.317 (0.330) Data 0.001 (0.005) Loss 1.5727 (1.4809) Prec@1 64.062 (65.852) Prec@5 83.594 (85.322) Epoch: [61][650/10010] Time 0.315 (0.330) Data 0.001 (0.005) Loss 1.4788 (1.4804) Prec@1 65.625 (65.857) Prec@5 84.375 (85.325) Epoch: [61][660/10010] Time 0.339 (0.330) Data 0.000 (0.004) Loss 1.4360 (1.4814) Prec@1 68.750 (65.866) Prec@5 84.375 (85.298) Epoch: [61][670/10010] Time 0.311 (0.329) Data 0.001 (0.004) Loss 1.2934 (1.4815) Prec@1 68.750 (65.854) Prec@5 89.062 (85.306) Epoch: [61][680/10010] Time 0.316 (0.329) Data 0.001 (0.004) Loss 1.4223 (1.4811) Prec@1 65.625 (65.864) Prec@5 83.594 (85.299) Epoch: [61][690/10010] Time 0.335 (0.329) Data 0.001 (0.004) Loss 1.8057 (1.4809) Prec@1 62.500 (65.868) Prec@5 81.250 (85.313) /data/vision/torralba/deepscene/lib/anaconda2/lib/python2.7/site-packages/PIL/TiffImagePlugin.py:692: UserWarning: Possibly corrupt EXIF data. Expecting to read 2555904 bytes but only got 0. Skipping tag 0 "Skipping tag %s" % (size, len(data), tag)) Epoch: [61][700/10010] Time 0.321 (0.329) Data 0.001 (0.004) Loss 1.6581 (1.4816) Prec@1 67.969 (65.879) Prec@5 84.375 (85.301) Epoch: [61][710/10010] Time 0.320 (0.329) Data 0.000 (0.004) Loss 1.4269 (1.4812) Prec@1 67.969 (65.891) Prec@5 92.188 (85.316) Epoch: [61][720/10010] Time 0.333 (0.329) Data 0.001 (0.004) Loss 1.3217 (1.4801) Prec@1 67.188 (65.911) Prec@5 90.625 (85.353) Epoch: [61][730/10010] Time 0.318 (0.329) Data 0.001 (0.004) Loss 1.9126 (1.4817) Prec@1 56.250 (65.895) Prec@5 80.469 (85.337) Epoch: [61][740/10010] Time 0.323 (0.329) Data 0.001 (0.004) Loss 1.4331 (1.4812) Prec@1 67.969 (65.902) Prec@5 84.375 (85.339) Epoch: [61][750/10010] Time 0.337 (0.329) Data 0.000 (0.004) Loss 1.3315 (1.4817) Prec@1 65.625 (65.874) Prec@5 89.844 (85.340) Epoch: [61][760/10010] Time 0.324 (0.329) Data 0.000 (0.004) Loss 1.0333 (1.4802) Prec@1 71.094 (65.897) Prec@5 93.750 (85.367) Epoch: [61][770/10010] Time 0.329 (0.329) Data 0.001 (0.004) Loss 1.7372 (1.4798) Prec@1 60.938 (65.922) Prec@5 79.688 (85.378) Epoch: [61][780/10010] Time 0.324 (0.329) Data 0.001 (0.004) Loss 1.5352 (1.4796) Prec@1 65.625 (65.903) Prec@5 82.812 (85.370) Epoch: [61][790/10010] Time 0.321 (0.329) Data 0.001 (0.004) Loss 1.8259 (1.4805) Prec@1 59.375 (65.873) Prec@5 79.688 (85.349) Epoch: [61][800/10010] Time 0.335 (0.329) Data 0.001 (0.004) Loss 1.6629 (1.4804) Prec@1 58.594 (65.877) Prec@5 85.938 (85.354) Epoch: [61][810/10010] Time 0.334 (0.329) Data 0.001 (0.004) Loss 1.3995 (1.4805) Prec@1 64.844 (65.888) Prec@5 86.719 (85.349) Epoch: [61][820/10010] Time 0.335 (0.329) Data 0.000 (0.004) Loss 1.3838 (1.4816) Prec@1 70.312 (65.870) Prec@5 87.500 (85.323) Epoch: [61][830/10010] Time 0.309 (0.329) Data 0.001 (0.004) Loss 1.5407 (1.4817) Prec@1 64.844 (65.875) Prec@5 80.469 (85.312) Epoch: [61][840/10010] Time 0.322 (0.329) Data 0.001 (0.004) Loss 1.3445 (1.4815) Prec@1 70.312 (65.876) Prec@5 86.719 (85.315) Epoch: [61][850/10010] Time 0.341 (0.329) Data 0.001 (0.004) Loss 1.3859 (1.4815) Prec@1 68.750 (65.870) Prec@5 88.281 (85.326) Epoch: [61][860/10010] Time 0.336 (0.329) Data 0.000 (0.004) Loss 1.4153 (1.4817) Prec@1 65.625 (65.868) Prec@5 83.594 (85.329) Epoch: [61][870/10010] Time 0.321 (0.329) Data 0.000 (0.004) Loss 1.5069 (1.4823) Prec@1 63.281 (65.832) Prec@5 85.156 (85.324) Epoch: [61][880/10010] Time 0.325 (0.329) Data 0.001 (0.004) Loss 1.4246 (1.4824) Prec@1 70.312 (65.823) Prec@5 86.719 (85.329) Epoch: [61][890/10010] Time 0.319 (0.329) Data 0.001 (0.003) Loss 1.4624 (1.4829) Prec@1 63.281 (65.812) Prec@5 89.062 (85.316) Epoch: [61][900/10010] Time 0.328 (0.329) Data 0.000 (0.003) Loss 1.3653 (1.4821) Prec@1 66.406 (65.818) Prec@5 87.500 (85.327) Epoch: [61][910/10010] Time 0.339 (0.329) Data 0.001 (0.003) Loss 1.7180 (1.4819) Prec@1 57.812 (65.821) Prec@5 81.250 (85.328) Epoch: [61][920/10010] Time 0.333 (0.329) Data 0.000 (0.003) Loss 1.5663 (1.4816) Prec@1 64.062 (65.820) Prec@5 88.281 (85.336) Epoch: [61][930/10010] Time 0.321 (0.329) Data 0.000 (0.003) Loss 1.3025 (1.4809) Prec@1 70.312 (65.849) Prec@5 90.625 (85.346) Epoch: [61][940/10010] Time 0.324 (0.329) Data 0.000 (0.003) Loss 1.5793 (1.4805) Prec@1 67.188 (65.856) Prec@5 84.375 (85.352) Epoch: [61][950/10010] Time 0.331 (0.329) Data 0.000 (0.003) Loss 1.4915 (1.4798) Prec@1 67.969 (65.866) Prec@5 86.719 (85.355) Epoch: [61][960/10010] Time 0.319 (0.329) Data 0.001 (0.003) Loss 1.3327 (1.4792) Prec@1 68.750 (65.867) Prec@5 88.281 (85.365) Epoch: [61][970/10010] Time 0.338 (0.329) Data 0.000 (0.003) Loss 1.7633 (1.4801) Prec@1 61.719 (65.845) Prec@5 81.250 (85.350) Epoch: [61][980/10010] Time 0.325 (0.329) Data 0.000 (0.003) Loss 1.5014 (1.4799) Prec@1 60.938 (65.840) Prec@5 82.031 (85.347) /data/vision/torralba/deepscene/lib/anaconda2/lib/python2.7/site-packages/PIL/TiffImagePlugin.py:709: UserWarning: Corrupt EXIF data. Expecting to read 4 bytes but only got 0. warnings.warn(str(msg)) Epoch: [61][990/10010] Time 0.331 (0.329) Data 0.001 (0.003) Loss 1.5996 (1.4803) Prec@1 63.281 (65.834) Prec@5 88.281 (85.347) Epoch: [61][1000/10010] Time 0.340 (0.329) Data 0.000 (0.003) Loss 1.6531 (1.4802) Prec@1 65.625 (65.840) Prec@5 82.812 (85.350) Epoch: [61][1010/10010] Time 0.313 (0.329) Data 0.001 (0.003) Loss 1.3367 (1.4802) Prec@1 68.750 (65.842) Prec@5 88.281 (85.352) Epoch: [61][1020/10010] Time 0.341 (0.329) Data 0.001 (0.003) Loss 1.6694 (1.4799) Prec@1 61.719 (65.852) Prec@5 85.938 (85.371) Epoch: [61][1030/10010] Time 0.337 (0.329) Data 0.001 (0.003) Loss 1.5492 (1.4795) Prec@1 66.406 (65.865) Prec@5 83.594 (85.387) Epoch: [61][1040/10010] Time 0.319 (0.329) Data 0.001 (0.003) Loss 1.6962 (1.4797) Prec@1 63.281 (65.866) Prec@5 78.906 (85.380) Epoch: [61][1050/10010] Time 0.340 (0.329) Data 0.000 (0.003) Loss 1.7925 (1.4800) Prec@1 57.031 (65.849) Prec@5 82.031 (85.381) Epoch: [61][1060/10010] Time 0.339 (0.329) Data 0.001 (0.003) Loss 1.5619 (1.4800) Prec@1 64.844 (65.848) Prec@5 84.375 (85.378) Epoch: [61][1070/10010] Time 0.319 (0.329) Data 0.001 (0.003) Loss 1.2930 (1.4805) Prec@1 64.844 (65.840) Prec@5 89.062 (85.360) Epoch: [61][1080/10010] Time 0.335 (0.329) Data 0.000 (0.003) Loss 1.5133 (1.4804) Prec@1 67.188 (65.840) Prec@5 84.375 (85.364) Epoch: [61][1090/10010] Time 0.317 (0.329) Data 0.001 (0.003) Loss 1.6274 (1.4805) Prec@1 61.719 (65.836) Prec@5 81.250 (85.348) Epoch: [61][1100/10010] Time 0.332 (0.329) Data 0.001 (0.003) Loss 1.5185 (1.4806) Prec@1 64.844 (65.823) Prec@5 84.375 (85.361) Epoch: [61][1110/10010] Time 0.322 (0.329) Data 0.001 (0.003) Loss 1.3547 (1.4809) Prec@1 66.406 (65.818) Prec@5 87.500 (85.348) Epoch: [61][1120/10010] Time 0.315 (0.329) Data 0.001 (0.003) Loss 1.5468 (1.4816) Prec@1 65.625 (65.799) Prec@5 84.375 (85.327) Epoch: [61][1130/10010] Time 0.329 (0.329) Data 0.001 (0.003) Loss 1.6864 (1.4822) Prec@1 61.719 (65.778) Prec@5 83.594 (85.325) Epoch: [61][1140/10010] Time 0.334 (0.329) Data 0.001 (0.003) Loss 1.3536 (1.4819) Prec@1 74.219 (65.798) Prec@5 87.500 (85.339) Epoch: [61][1150/10010] Time 0.315 (0.329) Data 0.000 (0.003) Loss 1.3629 (1.4817) Prec@1 67.188 (65.805) Prec@5 87.500 (85.341) Epoch: [61][1160/10010] Time 0.318 (0.329) Data 0.001 (0.003) Loss 1.0732 (1.4815) Prec@1 71.875 (65.807) Prec@5 86.719 (85.350) Epoch: [61][1170/10010] Time 0.324 (0.329) Data 0.001 (0.003) Loss 1.4954 (1.4820) Prec@1 67.188 (65.814) Prec@5 87.500 (85.349) Epoch: [61][1180/10010] Time 0.325 (0.329) Data 0.000 (0.003) Loss 1.4174 (1.4812) Prec@1 69.531 (65.831) Prec@5 88.281 (85.367) Epoch: [61][1190/10010] Time 0.325 (0.329) Data 0.001 (0.003) Loss 1.2464 (1.4810) Prec@1 69.531 (65.831) Prec@5 87.500 (85.371) Epoch: [61][1200/10010] Time 0.336 (0.329) Data 0.001 (0.003) Loss 1.3442 (1.4810) Prec@1 67.969 (65.833) Prec@5 82.812 (85.358) Epoch: [61][1210/10010] Time 0.323 (0.329) Data 0.001 (0.003) Loss 1.5206 (1.4814) Prec@1 67.969 (65.823) Prec@5 85.156 (85.358) Epoch: [61][1220/10010] Time 0.323 (0.329) Data 0.000 (0.003) Loss 1.4372 (1.4814) Prec@1 67.969 (65.825) Prec@5 85.938 (85.358) Epoch: [61][1230/10010] Time 0.322 (0.329) Data 0.001 (0.003) Loss 1.5069 (1.4816) Prec@1 62.500 (65.829) Prec@5 85.156 (85.365) Epoch: [61][1240/10010] Time 0.313 (0.328) Data 0.001 (0.003) Loss 1.7331 (1.4823) Prec@1 63.281 (65.822) Prec@5 81.250 (85.351) Epoch: [61][1250/10010] Time 0.316 (0.328) Data 0.000 (0.003) Loss 1.7133 (1.4830) Prec@1 64.844 (65.805) Prec@5 78.125 (85.332) Epoch: [61][1260/10010] Time 0.333 (0.328) Data 0.001 (0.003) Loss 1.5220 (1.4824) Prec@1 68.750 (65.816) Prec@5 81.250 (85.345) Epoch: [61][1270/10010] Time 0.338 (0.328) Data 0.001 (0.003) Loss 1.3040 (1.4823) Prec@1 69.531 (65.810) Prec@5 89.062 (85.350) Epoch: [61][1280/10010] Time 0.331 (0.328) Data 0.001 (0.003) Loss 1.3052 (1.4822) Prec@1 74.219 (65.808) Prec@5 86.719 (85.351) Epoch: [61][1290/10010] Time 0.339 (0.328) Data 0.001 (0.003) Loss 1.4423 (1.4824) Prec@1 67.188 (65.798) Prec@5 82.812 (85.346) Epoch: [61][1300/10010] Time 0.318 (0.328) Data 0.001 (0.003) Loss 1.4265 (1.4822) Prec@1 65.625 (65.793) Prec@5 82.812 (85.348) Epoch: [61][1310/10010] Time 0.319 (0.328) Data 0.000 (0.003) Loss 1.5736 (1.4830) Prec@1 64.062 (65.769) Prec@5 84.375 (85.340) Epoch: [61][1320/10010] Time 0.316 (0.328) Data 0.001 (0.003) Loss 1.4076 (1.4833) Prec@1 68.750 (65.773) Prec@5 86.719 (85.339) Epoch: [61][1330/10010] Time 0.334 (0.328) Data 0.001 (0.003) Loss 1.3951 (1.4834) Prec@1 65.625 (65.767) Prec@5 86.719 (85.330) Epoch: [61][1340/10010] Time 0.319 (0.328) Data 0.000 (0.003) Loss 1.7810 (1.4831) Prec@1 60.938 (65.775) Prec@5 82.812 (85.336) Epoch: [61][1350/10010] Time 0.334 (0.328) Data 0.001 (0.003) Loss 1.8016 (1.4834) Prec@1 62.500 (65.775) Prec@5 82.031 (85.336) Epoch: [61][1360/10010] Time 0.328 (0.328) Data 0.000 (0.002) Loss 1.2845 (1.4837) Prec@1 74.219 (65.777) Prec@5 85.156 (85.323) Epoch: [61][1370/10010] Time 0.327 (0.328) Data 0.001 (0.002) Loss 1.5874 (1.4839) Prec@1 62.500 (65.765) Prec@5 82.031 (85.316) Epoch: [61][1380/10010] Time 0.316 (0.328) Data 0.000 (0.002) Loss 1.6451 (1.4839) Prec@1 60.156 (65.768) Prec@5 82.812 (85.319) Epoch: [61][1390/10010] Time 0.326 (0.328) Data 0.001 (0.002) Loss 1.5025 (1.4838) Prec@1 61.719 (65.761) Prec@5 87.500 (85.321) Epoch: [61][1400/10010] Time 0.315 (0.328) Data 0.000 (0.002) Loss 1.7767 (1.4836) Prec@1 56.250 (65.761) Prec@5 80.469 (85.317) Epoch: [61][1410/10010] Time 0.330 (0.328) Data 0.001 (0.002) Loss 1.5880 (1.4832) Prec@1 64.062 (65.757) Prec@5 83.594 (85.323) Epoch: [61][1420/10010] Time 0.321 (0.328) Data 0.000 (0.002) Loss 1.5564 (1.4833) Prec@1 71.094 (65.763) Prec@5 83.594 (85.318) Epoch: [61][1430/10010] Time 0.319 (0.328) Data 0.001 (0.002) Loss 1.3285 (1.4837) Prec@1 69.531 (65.760) Prec@5 84.375 (85.312) Epoch: [61][1440/10010] Time 0.317 (0.328) Data 0.001 (0.002) Loss 1.3985 (1.4841) Prec@1 66.406 (65.748) Prec@5 88.281 (85.310) Epoch: [61][1450/10010] Time 0.327 (0.328) Data 0.001 (0.002) Loss 1.4409 (1.4841) Prec@1 68.750 (65.753) Prec@5 86.719 (85.310) Epoch: [61][1460/10010] Time 0.330 (0.328) Data 0.001 (0.002) Loss 1.4183 (1.4841) Prec@1 65.625 (65.753) Prec@5 87.500 (85.312) Epoch: [61][1470/10010] Time 0.314 (0.328) Data 0.001 (0.002) Loss 1.1651 (1.4836) Prec@1 75.000 (65.752) Prec@5 88.281 (85.321) Epoch: [61][1480/10010] Time 0.337 (0.328) Data 0.000 (0.002) Loss 1.6905 (1.4841) Prec@1 56.250 (65.731) Prec@5 83.594 (85.317) Epoch: [61][1490/10010] Time 0.321 (0.328) Data 0.000 (0.002) Loss 1.5727 (1.4840) Prec@1 63.281 (65.729) Prec@5 85.156 (85.320) Epoch: [61][1500/10010] Time 0.329 (0.328) Data 0.000 (0.002) Loss 1.4559 (1.4833) Prec@1 64.062 (65.741) Prec@5 85.156 (85.331) Epoch: [61][1510/10010] Time 0.320 (0.328) Data 0.001 (0.002) Loss 1.5587 (1.4825) Prec@1 65.625 (65.764) Prec@5 87.500 (85.343) Epoch: [61][1520/10010] Time 0.317 (0.328) Data 0.000 (0.002) Loss 1.6783 (1.4830) Prec@1 59.375 (65.758) Prec@5 85.156 (85.336) Epoch: [61][1530/10010] Time 0.326 (0.328) Data 0.000 (0.002) Loss 1.2115 (1.4831) Prec@1 71.875 (65.763) Prec@5 89.062 (85.334) Epoch: [61][1540/10010] Time 0.319 (0.328) Data 0.000 (0.002) Loss 1.4295 (1.4835) Prec@1 67.188 (65.754) Prec@5 84.375 (85.327) Epoch: [61][1550/10010] Time 0.322 (0.328) Data 0.000 (0.002) Loss 1.5811 (1.4833) Prec@1 65.625 (65.768) Prec@5 82.812 (85.331) Epoch: [61][1560/10010] Time 0.329 (0.328) Data 0.001 (0.002) Loss 1.5703 (1.4831) Prec@1 56.250 (65.768) Prec@5 91.406 (85.337) Epoch: [61][1570/10010] Time 0.329 (0.328) Data 0.001 (0.002) Loss 1.3649 (1.4831) Prec@1 69.531 (65.769) Prec@5 89.062 (85.342) Epoch: [61][1580/10010] Time 0.336 (0.328) Data 0.001 (0.002) Loss 1.4748 (1.4836) Prec@1 59.375 (65.755) Prec@5 86.719 (85.335) Epoch: [61][1590/10010] Time 0.322 (0.328) Data 0.000 (0.002) Loss 1.6884 (1.4839) Prec@1 62.500 (65.758) Prec@5 85.938 (85.332) Epoch: [61][1600/10010] Time 0.332 (0.328) Data 0.001 (0.002) Loss 1.4742 (1.4837) Prec@1 65.625 (65.765) Prec@5 86.719 (85.330) Epoch: [61][1610/10010] Time 0.319 (0.328) Data 0.000 (0.002) Loss 1.5224 (1.4841) Prec@1 68.750 (65.757) Prec@5 81.250 (85.320) /data/vision/torralba/deepscene/lib/anaconda2/lib/python2.7/site-packages/PIL/TiffImagePlugin.py:692: UserWarning: Possibly corrupt EXIF data. Expecting to read 1835008 bytes but only got 0. Skipping tag 0 "Skipping tag %s" % (size, len(data), tag)) Epoch: [61][1620/10010] Time 0.329 (0.328) Data 0.000 (0.002) Loss 1.4373 (1.4839) Prec@1 69.531 (65.768) Prec@5 84.375 (85.324) Epoch: [61][1630/10010] Time 0.326 (0.328) Data 0.001 (0.002) Loss 1.4582 (1.4837) Prec@1 66.406 (65.776) Prec@5 86.719 (85.326) Epoch: [61][1640/10010] Time 0.336 (0.328) Data 0.001 (0.002) Loss 1.5059 (1.4833) Prec@1 67.188 (65.776) Prec@5 85.156 (85.332) Epoch: [61][1650/10010] Time 0.327 (0.328) Data 0.003 (0.002) Loss 1.5076 (1.4830) Prec@1 58.594 (65.777) Prec@5 85.156 (85.337) Epoch: [61][1660/10010] Time 0.333 (0.328) Data 0.001 (0.002) Loss 1.5828 (1.4829) Prec@1 64.062 (65.780) Prec@5 86.719 (85.340) Epoch: [61][1670/10010] Time 0.317 (0.328) Data 0.000 (0.002) Loss 1.3140 (1.4827) Prec@1 64.062 (65.780) Prec@5 89.062 (85.345) Epoch: [61][1680/10010] Time 0.339 (0.328) Data 0.001 (0.002) Loss 1.5608 (1.4826) Prec@1 65.625 (65.780) Prec@5 82.031 (85.343) Epoch: [61][1690/10010] Time 0.337 (0.328) Data 0.001 (0.002) Loss 1.5942 (1.4828) Prec@1 61.719 (65.781) Prec@5 82.031 (85.342) Epoch: [61][1700/10010] Time 0.322 (0.328) Data 0.000 (0.002) Loss 1.5112 (1.4829) Prec@1 66.406 (65.782) Prec@5 83.594 (85.334) Epoch: [61][1710/10010] Time 0.335 (0.328) Data 0.001 (0.002) Loss 1.2471 (1.4832) Prec@1 70.312 (65.770) Prec@5 88.281 (85.332) Epoch: [61][1720/10010] Time 0.341 (0.328) Data 0.001 (0.002) Loss 1.3609 (1.4832) Prec@1 71.094 (65.778) Prec@5 87.500 (85.336) Epoch: [61][1730/10010] Time 0.320 (0.328) Data 0.000 (0.002) Loss 1.3831 (1.4831) Prec@1 71.094 (65.787) Prec@5 86.719 (85.337) Epoch: [61][1740/10010] Time 0.317 (0.328) Data 0.001 (0.002) Loss 1.3080 (1.4832) Prec@1 67.188 (65.788) Prec@5 89.844 (85.337) Epoch: [61][1750/10010] Time 0.321 (0.328) Data 0.001 (0.002) Loss 1.3612 (1.4827) Prec@1 70.312 (65.799) Prec@5 89.062 (85.341) Epoch: [61][1760/10010] Time 0.316 (0.328) Data 0.001 (0.002) Loss 1.2281 (1.4826) Prec@1 67.969 (65.801) Prec@5 89.062 (85.339) Epoch: [61][1770/10010] Time 0.334 (0.328) Data 0.000 (0.002) Loss 1.3414 (1.4823) Prec@1 68.750 (65.818) Prec@5 86.719 (85.334) Epoch: [61][1780/10010] Time 0.332 (0.328) Data 0.001 (0.002) Loss 1.3930 (1.4821) Prec@1 67.969 (65.815) Prec@5 85.156 (85.335) Epoch: [61][1790/10010] Time 0.318 (0.328) Data 0.001 (0.002) Loss 1.5053 (1.4822) Prec@1 62.500 (65.816) Prec@5 87.500 (85.331) Epoch: [61][1800/10010] Time 0.322 (0.328) Data 0.000 (0.002) Loss 1.6809 (1.4826) Prec@1 60.156 (65.806) Prec@5 78.906 (85.327) Epoch: [61][1810/10010] Time 0.320 (0.328) Data 0.001 (0.002) Loss 1.4512 (1.4824) Prec@1 67.969 (65.803) Prec@5 87.500 (85.331) Epoch: [61][1820/10010] Time 0.329 (0.328) Data 0.001 (0.002) Loss 1.4429 (1.4828) Prec@1 64.844 (65.794) Prec@5 88.281 (85.324) Epoch: [61][1830/10010] Time 0.323 (0.328) Data 0.000 (0.002) Loss 1.6313 (1.4832) Prec@1 63.281 (65.792) Prec@5 83.594 (85.318) Epoch: [61][1840/10010] Time 0.318 (0.328) Data 0.000 (0.002) Loss 1.6356 (1.4833) Prec@1 58.594 (65.790) Prec@5 84.375 (85.318) Epoch: [61][1850/10010] Time 0.326 (0.328) Data 0.000 (0.002) Loss 1.5428 (1.4830) Prec@1 65.625 (65.796) Prec@5 84.375 (85.322) Epoch: [61][1860/10010] Time 0.318 (0.328) Data 0.000 (0.002) Loss 1.2044 (1.4825) Prec@1 70.312 (65.806) Prec@5 89.062 (85.329) Epoch: [61][1870/10010] Time 0.314 (0.328) Data 0.000 (0.002) Loss 1.5370 (1.4824) Prec@1 63.281 (65.801) Prec@5 84.375 (85.334) Epoch: [61][1880/10010] Time 0.332 (0.328) Data 0.000 (0.002) Loss 1.7166 (1.4822) Prec@1 61.719 (65.807) Prec@5 82.031 (85.341) Epoch: [61][1890/10010] Time 0.321 (0.328) Data 0.001 (0.002) Loss 1.4432 (1.4819) Prec@1 68.750 (65.812) Prec@5 85.938 (85.341) Epoch: [61][1900/10010] Time 0.336 (0.328) Data 0.001 (0.002) Loss 1.3919 (1.4818) Prec@1 67.969 (65.818) Prec@5 86.719 (85.342) Epoch: [61][1910/10010] Time 0.318 (0.328) Data 0.000 (0.002) Loss 1.5404 (1.4820) Prec@1 64.844 (65.817) Prec@5 85.156 (85.333) Epoch: [61][1920/10010] Time 0.333 (0.328) Data 0.000 (0.002) Loss 1.5484 (1.4826) Prec@1 65.625 (65.810) Prec@5 83.594 (85.328) Epoch: [61][1930/10010] Time 0.318 (0.327) Data 0.000 (0.002) Loss 1.4429 (1.4823) Prec@1 68.750 (65.813) Prec@5 85.938 (85.332) Epoch: [61][1940/10010] Time 0.329 (0.327) Data 0.000 (0.002) Loss 1.4986 (1.4824) Prec@1 71.875 (65.817) Prec@5 84.375 (85.330) Epoch: [61][1950/10010] Time 0.326 (0.327) Data 0.000 (0.002) Loss 1.1916 (1.4823) Prec@1 69.531 (65.820) Prec@5 89.844 (85.329) Epoch: [61][1960/10010] Time 0.322 (0.327) Data 0.001 (0.002) Loss 1.4790 (1.4818) Prec@1 66.406 (65.830) Prec@5 85.938 (85.336) Epoch: [61][1970/10010] Time 0.317 (0.327) Data 0.001 (0.002) Loss 1.1669 (1.4815) Prec@1 75.781 (65.845) Prec@5 89.844 (85.337) Epoch: [61][1980/10010] Time 0.321 (0.327) Data 0.001 (0.002) Loss 1.1812 (1.4814) Prec@1 69.531 (65.844) Prec@5 90.625 (85.340) Epoch: [61][1990/10010] Time 0.317 (0.327) Data 0.001 (0.002) Loss 1.4809 (1.4812) Prec@1 64.844 (65.854) Prec@5 86.719 (85.348) Epoch: [61][2000/10010] Time 0.329 (0.327) Data 0.001 (0.002) Loss 1.4746 (1.4814) Prec@1 63.281 (65.843) Prec@5 85.938 (85.346) /data/vision/torralba/deepscene/lib/anaconda2/lib/python2.7/site-packages/PIL/TiffImagePlugin.py:692: UserWarning: Possibly corrupt EXIF data. Expecting to read 2555904 bytes but only got 0. Skipping tag 0 "Skipping tag %s" % (size, len(data), tag)) Epoch: [61][2010/10010] Time 0.324 (0.327) Data 0.001 (0.002) Loss 1.3195 (1.4815) Prec@1 67.969 (65.843) Prec@5 87.500 (85.346) Epoch: [61][2020/10010] Time 0.321 (0.327) Data 0.001 (0.002) Loss 1.4010 (1.4818) Prec@1 67.188 (65.833) Prec@5 83.594 (85.338) Epoch: [61][2030/10010] Time 0.326 (0.327) Data 0.000 (0.002) Loss 1.4849 (1.4822) Prec@1 67.969 (65.827) Prec@5 86.719 (85.331) Epoch: [61][2040/10010] Time 0.309 (0.327) Data 0.000 (0.002) Loss 1.3919 (1.4823) Prec@1 64.844 (65.826) Prec@5 85.938 (85.329) Epoch: [61][2050/10010] Time 0.323 (0.327) Data 0.001 (0.002) Loss 1.4649 (1.4822) Prec@1 68.750 (65.830) Prec@5 85.938 (85.331) Epoch: [61][2060/10010] Time 0.317 (0.327) Data 0.001 (0.002) Loss 1.4858 (1.4818) Prec@1 62.500 (65.839) Prec@5 84.375 (85.333) Epoch: [61][2070/10010] Time 0.312 (0.327) Data 0.001 (0.002) Loss 1.5947 (1.4822) Prec@1 60.938 (65.829) Prec@5 82.812 (85.330) Epoch: [61][2080/10010] Time 0.329 (0.327) Data 0.000 (0.002) Loss 1.2962 (1.4818) Prec@1 73.438 (65.840) Prec@5 86.719 (85.334) Epoch: [61][2090/10010] Time 0.324 (0.327) Data 0.000 (0.002) Loss 1.4436 (1.4820) Prec@1 65.625 (65.833) Prec@5 85.156 (85.324) Epoch: [61][2100/10010] Time 0.328 (0.327) Data 0.001 (0.002) Loss 1.2335 (1.4819) Prec@1 73.438 (65.834) Prec@5 90.625 (85.328) Epoch: [61][2110/10010] Time 0.333 (0.327) Data 0.001 (0.002) Loss 1.8451 (1.4823) Prec@1 59.375 (65.819) Prec@5 82.031 (85.325) Epoch: [61][2120/10010] Time 0.314 (0.327) Data 0.001 (0.002) Loss 1.6260 (1.4821) Prec@1 65.625 (65.822) Prec@5 84.375 (85.330) Epoch: [61][2130/10010] Time 0.326 (0.327) Data 0.001 (0.002) Loss 1.5473 (1.4823) Prec@1 58.594 (65.820) Prec@5 84.375 (85.329) Epoch: [61][2140/10010] Time 0.331 (0.327) Data 0.001 (0.002) Loss 1.3742 (1.4822) Prec@1 68.750 (65.822) Prec@5 81.250 (85.329) Epoch: [61][2150/10010] Time 0.335 (0.327) Data 0.001 (0.002) Loss 1.4519 (1.4825) Prec@1 66.406 (65.816) Prec@5 85.938 (85.325) Epoch: [61][2160/10010] Time 0.326 (0.327) Data 0.000 (0.002) Loss 1.3326 (1.4824) Prec@1 65.625 (65.814) Prec@5 89.062 (85.329) Epoch: [61][2170/10010] Time 0.338 (0.327) Data 0.002 (0.002) Loss 1.6419 (1.4826) Prec@1 64.844 (65.810) Prec@5 82.812 (85.328) Epoch: [61][2180/10010] Time 0.341 (0.327) Data 0.000 (0.002) Loss 1.3021 (1.4824) Prec@1 72.656 (65.821) Prec@5 88.281 (85.330) Epoch: [61][2190/10010] Time 0.318 (0.327) Data 0.001 (0.002) Loss 1.5510 (1.4819) Prec@1 63.281 (65.825) Prec@5 85.156 (85.339) Epoch: [61][2200/10010] Time 0.307 (0.327) Data 0.001 (0.002) Loss 1.6825 (1.4816) Prec@1 67.188 (65.833) Prec@5 82.031 (85.343) Epoch: [61][2210/10010] Time 0.310 (0.327) Data 0.001 (0.002) Loss 1.4111 (1.4815) Prec@1 63.281 (65.832) Prec@5 86.719 (85.345) Epoch: [61][2220/10010] Time 0.324 (0.327) Data 0.001 (0.002) Loss 1.6060 (1.4814) Prec@1 63.281 (65.840) Prec@5 82.031 (85.342) Epoch: [61][2230/10010] Time 0.337 (0.327) Data 0.001 (0.002) Loss 1.7030 (1.4816) Prec@1 55.469 (65.837) Prec@5 82.031 (85.340) Epoch: [61][2240/10010] Time 0.313 (0.327) Data 0.001 (0.002) Loss 1.4347 (1.4819) Prec@1 70.312 (65.835) Prec@5 82.031 (85.336) Epoch: [61][2250/10010] Time 0.338 (0.327) Data 0.001 (0.002) Loss 1.6252 (1.4820) Prec@1 64.062 (65.830) Prec@5 85.156 (85.335) Epoch: [61][2260/10010] Time 0.324 (0.327) Data 0.001 (0.002) Loss 1.7127 (1.4820) Prec@1 57.812 (65.830) Prec@5 84.375 (85.332) Epoch: [61][2270/10010] Time 0.332 (0.327) Data 0.001 (0.002) Loss 1.5579 (1.4821) Prec@1 64.062 (65.823) Prec@5 82.031 (85.330) Epoch: [61][2280/10010] Time 0.324 (0.327) Data 0.000 (0.002) Loss 1.4020 (1.4820) Prec@1 67.188 (65.822) Prec@5 88.281 (85.333) Epoch: [61][2290/10010] Time 0.332 (0.327) Data 0.000 (0.002) Loss 1.5468 (1.4824) Prec@1 64.062 (65.812) Prec@5 83.594 (85.329) Epoch: [61][2300/10010] Time 0.334 (0.327) Data 0.001 (0.002) Loss 1.7991 (1.4822) Prec@1 61.719 (65.818) Prec@5 78.906 (85.331) Epoch: [61][2310/10010] Time 0.319 (0.327) Data 0.001 (0.002) Loss 1.4798 (1.4821) Prec@1 68.750 (65.822) Prec@5 84.375 (85.334) Epoch: [61][2320/10010] Time 0.329 (0.327) Data 0.000 (0.002) Loss 1.6011 (1.4818) Prec@1 62.500 (65.830) Prec@5 89.844 (85.341) Epoch: [61][2330/10010] Time 0.314 (0.327) Data 0.001 (0.002) Loss 1.3895 (1.4820) Prec@1 66.406 (65.824) Prec@5 88.281 (85.340) Epoch: [61][2340/10010] Time 0.338 (0.327) Data 0.001 (0.002) Loss 1.4514 (1.4824) Prec@1 67.188 (65.810) Prec@5 86.719 (85.331) Epoch: [61][2350/10010] Time 0.307 (0.327) Data 0.001 (0.002) Loss 1.4428 (1.4821) Prec@1 65.625 (65.821) Prec@5 82.031 (85.337) Epoch: [61][2360/10010] Time 0.340 (0.327) Data 0.000 (0.002) Loss 1.2182 (1.4819) Prec@1 71.094 (65.829) Prec@5 89.062 (85.334) Epoch: [61][2370/10010] Time 0.335 (0.327) Data 0.001 (0.002) Loss 1.5329 (1.4819) Prec@1 62.500 (65.825) Prec@5 85.156 (85.333) Epoch: [61][2380/10010] Time 0.339 (0.327) Data 0.001 (0.002) Loss 1.6648 (1.4814) Prec@1 60.156 (65.830) Prec@5 84.375 (85.340) Epoch: [61][2390/10010] Time 0.319 (0.327) Data 0.001 (0.002) Loss 1.5898 (1.4814) Prec@1 67.188 (65.829) Prec@5 85.938 (85.337) Epoch: [61][2400/10010] Time 0.321 (0.327) Data 0.001 (0.002) Loss 1.5901 (1.4815) Prec@1 64.844 (65.833) Prec@5 88.281 (85.337) Epoch: [61][2410/10010] Time 0.336 (0.327) Data 0.001 (0.002) Loss 1.4098 (1.4814) Prec@1 67.969 (65.838) Prec@5 86.719 (85.343) Epoch: [61][2420/10010] Time 0.340 (0.327) Data 0.000 (0.002) Loss 1.3830 (1.4812) Prec@1 71.875 (65.847) Prec@5 89.062 (85.344) Epoch: [61][2430/10010] Time 0.318 (0.327) Data 0.001 (0.002) Loss 1.4882 (1.4815) Prec@1 68.750 (65.847) Prec@5 85.938 (85.342) Epoch: [61][2440/10010] Time 0.316 (0.327) Data 0.001 (0.002) Loss 1.5091 (1.4816) Prec@1 62.500 (65.840) Prec@5 84.375 (85.340) Epoch: [61][2450/10010] Time 0.321 (0.327) Data 0.000 (0.002) Loss 1.2303 (1.4813) Prec@1 71.875 (65.844) Prec@5 86.719 (85.347) Epoch: [61][2460/10010] Time 0.334 (0.327) Data 0.001 (0.002) Loss 1.3223 (1.4815) Prec@1 72.656 (65.839) Prec@5 88.281 (85.348) Epoch: [61][2470/10010] Time 0.322 (0.327) Data 0.001 (0.002) Loss 1.4639 (1.4818) Prec@1 65.625 (65.838) Prec@5 84.375 (85.346) Epoch: [61][2480/10010] Time 0.338 (0.327) Data 0.001 (0.002) Loss 1.8148 (1.4819) Prec@1 61.719 (65.842) Prec@5 83.594 (85.344) Epoch: [61][2490/10010] Time 0.330 (0.327) Data 0.000 (0.002) Loss 1.2564 (1.4821) Prec@1 67.969 (65.836) Prec@5 88.281 (85.343) Epoch: [61][2500/10010] Time 0.324 (0.327) Data 0.001 (0.002) Loss 1.2560 (1.4820) Prec@1 72.656 (65.839) Prec@5 87.500 (85.345) Epoch: [61][2510/10010] Time 0.329 (0.327) Data 0.001 (0.002) Loss 1.5218 (1.4821) Prec@1 67.969 (65.833) Prec@5 83.594 (85.345) Epoch: [61][2520/10010] Time 0.327 (0.327) Data 0.001 (0.002) Loss 1.7471 (1.4820) Prec@1 61.719 (65.838) Prec@5 83.594 (85.347) Epoch: [61][2530/10010] Time 0.340 (0.327) Data 0.000 (0.002) Loss 1.3874 (1.4817) Prec@1 69.531 (65.845) Prec@5 86.719 (85.348) Epoch: [61][2540/10010] Time 0.319 (0.327) Data 0.001 (0.002) Loss 1.7152 (1.4820) Prec@1 55.469 (65.842) Prec@5 82.031 (85.347) Epoch: [61][2550/10010] Time 0.337 (0.327) Data 0.001 (0.002) Loss 1.7052 (1.4818) Prec@1 62.500 (65.847) Prec@5 82.812 (85.346) Epoch: [61][2560/10010] Time 0.314 (0.327) Data 0.001 (0.002) Loss 1.4892 (1.4818) Prec@1 67.188 (65.847) Prec@5 86.719 (85.347) Epoch: [61][2570/10010] Time 0.335 (0.327) Data 0.001 (0.002) Loss 1.5293 (1.4817) Prec@1 64.062 (65.848) Prec@5 89.062 (85.346) Epoch: [61][2580/10010] Time 0.330 (0.327) Data 0.001 (0.002) Loss 1.3361 (1.4817) Prec@1 66.406 (65.842) Prec@5 88.281 (85.346) Epoch: [61][2590/10010] Time 0.323 (0.327) Data 0.001 (0.002) Loss 1.5555 (1.4820) Prec@1 67.188 (65.838) Prec@5 83.594 (85.341) Epoch: [61][2600/10010] Time 0.338 (0.327) Data 0.000 (0.002) Loss 1.3298 (1.4816) Prec@1 69.531 (65.848) Prec@5 86.719 (85.348) Epoch: [61][2610/10010] Time 0.335 (0.327) Data 0.001 (0.002) Loss 1.8928 (1.4819) Prec@1 60.156 (65.845) Prec@5 78.125 (85.341) Epoch: [61][2620/10010] Time 0.321 (0.327) Data 0.001 (0.002) Loss 1.1978 (1.4816) Prec@1 71.094 (65.849) Prec@5 89.844 (85.342) Epoch: [61][2630/10010] Time 0.323 (0.327) Data 0.001 (0.002) Loss 1.4070 (1.4815) Prec@1 63.281 (65.852) Prec@5 88.281 (85.347) Epoch: [61][2640/10010] Time 0.315 (0.327) Data 0.000 (0.002) Loss 1.6686 (1.4817) Prec@1 64.844 (65.850) Prec@5 80.469 (85.342) Epoch: [61][2650/10010] Time 0.328 (0.327) Data 0.001 (0.002) Loss 1.7254 (1.4818) Prec@1 60.938 (65.844) Prec@5 78.906 (85.342) Epoch: [61][2660/10010] Time 0.317 (0.327) Data 0.001 (0.002) Loss 1.5838 (1.4820) Prec@1 67.188 (65.841) Prec@5 82.812 (85.335) Epoch: [61][2670/10010] Time 0.329 (0.327) Data 0.000 (0.002) Loss 1.2946 (1.4822) Prec@1 71.094 (65.839) Prec@5 85.938 (85.330) Epoch: [61][2680/10010] Time 0.322 (0.327) Data 0.000 (0.002) Loss 1.1067 (1.4821) Prec@1 75.781 (65.844) Prec@5 89.844 (85.328) Epoch: [61][2690/10010] Time 0.343 (0.327) Data 0.001 (0.002) Loss 1.2167 (1.4819) Prec@1 71.875 (65.853) Prec@5 89.844 (85.330) Epoch: [61][2700/10010] Time 0.333 (0.327) Data 0.001 (0.002) Loss 1.3314 (1.4819) Prec@1 67.188 (65.850) Prec@5 87.500 (85.332) Epoch: [61][2710/10010] Time 0.342 (0.327) Data 0.001 (0.002) Loss 1.7322 (1.4820) Prec@1 65.625 (65.853) Prec@5 81.250 (85.329) Epoch: [61][2720/10010] Time 0.329 (0.327) Data 0.001 (0.002) Loss 1.5109 (1.4819) Prec@1 67.969 (65.857) Prec@5 87.500 (85.331) Epoch: [61][2730/10010] Time 0.323 (0.327) Data 0.001 (0.002) Loss 1.2062 (1.4817) Prec@1 75.000 (65.866) Prec@5 92.969 (85.334) Epoch: [61][2740/10010] Time 0.340 (0.327) Data 0.001 (0.002) Loss 1.7566 (1.4816) Prec@1 59.375 (65.870) Prec@5 84.375 (85.339) Epoch: [61][2750/10010] Time 0.332 (0.327) Data 0.001 (0.002) Loss 1.6828 (1.4812) Prec@1 64.844 (65.879) Prec@5 78.906 (85.340) Epoch: [61][2760/10010] Time 0.341 (0.327) Data 0.001 (0.002) Loss 1.4176 (1.4814) Prec@1 67.969 (65.873) Prec@5 86.719 (85.337) Epoch: [61][2770/10010] Time 0.340 (0.327) Data 0.000 (0.002) Loss 1.5443 (1.4815) Prec@1 64.844 (65.874) Prec@5 79.688 (85.338) Epoch: [61][2780/10010] Time 0.319 (0.327) Data 0.001 (0.002) Loss 1.2796 (1.4813) Prec@1 71.094 (65.878) Prec@5 89.844 (85.339) Epoch: [61][2790/10010] Time 0.320 (0.327) Data 0.000 (0.002) Loss 1.6123 (1.4813) Prec@1 61.719 (65.877) Prec@5 83.594 (85.340) Epoch: [61][2800/10010] Time 0.315 (0.327) Data 0.001 (0.002) Loss 1.6815 (1.4815) Prec@1 62.500 (65.874) Prec@5 82.031 (85.335) Epoch: [61][2810/10010] Time 0.335 (0.327) Data 0.001 (0.002) Loss 1.6768 (1.4817) Prec@1 62.500 (65.866) Prec@5 82.031 (85.336) Epoch: [61][2820/10010] Time 0.336 (0.327) Data 0.001 (0.002) Loss 1.2936 (1.4818) Prec@1 72.656 (65.867) Prec@5 88.281 (85.337) Epoch: [61][2830/10010] Time 0.316 (0.327) Data 0.001 (0.002) Loss 1.4356 (1.4820) Prec@1 68.750 (65.864) Prec@5 83.594 (85.330) Epoch: [61][2840/10010] Time 0.325 (0.327) Data 0.001 (0.002) Loss 1.5818 (1.4822) Prec@1 64.062 (65.860) Prec@5 83.594 (85.326) Epoch: [61][2850/10010] Time 0.340 (0.327) Data 0.001 (0.002) Loss 1.4221 (1.4823) Prec@1 67.188 (65.862) Prec@5 85.156 (85.323) Epoch: [61][2860/10010] Time 0.318 (0.327) Data 0.001 (0.002) Loss 1.7245 (1.4822) Prec@1 60.156 (65.860) Prec@5 79.688 (85.324) Epoch: [61][2870/10010] Time 0.320 (0.327) Data 0.000 (0.002) Loss 1.6850 (1.4821) Prec@1 63.281 (65.863) Prec@5 84.375 (85.325) Epoch: [61][2880/10010] Time 0.314 (0.327) Data 0.001 (0.002) Loss 1.3946 (1.4821) Prec@1 69.531 (65.862) Prec@5 85.938 (85.328) Epoch: [61][2890/10010] Time 0.323 (0.327) Data 0.000 (0.002) Loss 1.6908 (1.4819) Prec@1 58.594 (65.865) Prec@5 83.594 (85.332) Epoch: [61][2900/10010] Time 0.323 (0.327) Data 0.000 (0.002) Loss 1.4655 (1.4817) Prec@1 62.500 (65.867) Prec@5 88.281 (85.335) Epoch: [61][2910/10010] Time 0.317 (0.327) Data 0.001 (0.002) Loss 1.8468 (1.4820) Prec@1 57.812 (65.861) Prec@5 83.594 (85.330) Epoch: [61][2920/10010] Time 0.318 (0.327) Data 0.001 (0.002) Loss 1.4165 (1.4818) Prec@1 65.625 (65.863) Prec@5 85.156 (85.331) Epoch: [61][2930/10010] Time 0.322 (0.327) Data 0.000 (0.001) Loss 1.4909 (1.4820) Prec@1 62.500 (65.858) Prec@5 89.062 (85.331) Epoch: [61][2940/10010] Time 0.319 (0.327) Data 0.001 (0.001) Loss 1.5112 (1.4820) Prec@1 65.625 (65.860) Prec@5 85.156 (85.331) Epoch: [61][2950/10010] Time 0.331 (0.327) Data 0.001 (0.001) Loss 1.3268 (1.4819) Prec@1 68.750 (65.865) Prec@5 89.062 (85.333) Epoch: [61][2960/10010] Time 0.340 (0.327) Data 0.001 (0.001) Loss 1.5270 (1.4819) Prec@1 69.531 (65.864) Prec@5 82.031 (85.334) Epoch: [61][2970/10010] Time 0.341 (0.327) Data 0.001 (0.001) Loss 1.3081 (1.4817) Prec@1 71.875 (65.866) Prec@5 88.281 (85.334) Epoch: [61][2980/10010] Time 0.317 (0.327) Data 0.001 (0.001) Loss 1.2905 (1.4817) Prec@1 66.406 (65.865) Prec@5 85.938 (85.335) Epoch: [61][2990/10010] Time 0.317 (0.327) Data 0.000 (0.001) Loss 1.3982 (1.4815) Prec@1 67.969 (65.870) Prec@5 90.625 (85.341) Epoch: [61][3000/10010] Time 0.330 (0.327) Data 0.000 (0.001) Loss 1.3706 (1.4817) Prec@1 61.719 (65.865) Prec@5 91.406 (85.335) Epoch: [61][3010/10010] Time 0.316 (0.327) Data 0.000 (0.001) Loss 1.6473 (1.4817) Prec@1 61.719 (65.867) Prec@5 83.594 (85.340) Epoch: [61][3020/10010] Time 0.334 (0.327) Data 0.001 (0.001) Loss 1.4486 (1.4817) Prec@1 66.406 (65.864) Prec@5 86.719 (85.337) Epoch: [61][3030/10010] Time 0.330 (0.327) Data 0.000 (0.001) Loss 1.7219 (1.4814) Prec@1 62.500 (65.865) Prec@5 80.469 (85.340) Epoch: [61][3040/10010] Time 0.333 (0.327) Data 0.001 (0.001) Loss 1.4667 (1.4814) Prec@1 68.750 (65.866) Prec@5 84.375 (85.339) Epoch: [61][3050/10010] Time 0.332 (0.327) Data 0.001 (0.001) Loss 1.6898 (1.4815) Prec@1 57.812 (65.858) Prec@5 82.031 (85.339) Epoch: [61][3060/10010] Time 0.328 (0.327) Data 0.001 (0.001) Loss 1.4987 (1.4814) Prec@1 65.625 (65.857) Prec@5 82.812 (85.341) Epoch: [61][3070/10010] Time 0.334 (0.327) Data 0.000 (0.001) Loss 1.7630 (1.4814) Prec@1 62.500 (65.855) Prec@5 81.250 (85.343) Epoch: [61][3080/10010] Time 0.312 (0.327) Data 0.001 (0.001) Loss 1.2484 (1.4810) Prec@1 72.656 (65.864) Prec@5 89.062 (85.352) Epoch: [61][3090/10010] Time 0.342 (0.327) Data 0.001 (0.001) Loss 1.1743 (1.4808) Prec@1 75.000 (65.865) Prec@5 90.625 (85.352) Epoch: [61][3100/10010] Time 0.336 (0.327) Data 0.001 (0.001) Loss 1.7007 (1.4807) Prec@1 62.500 (65.864) Prec@5 80.469 (85.353) Epoch: [61][3110/10010] Time 0.334 (0.327) Data 0.001 (0.001) Loss 1.5007 (1.4807) Prec@1 66.406 (65.866) Prec@5 85.156 (85.356) Epoch: [61][3120/10010] Time 0.333 (0.327) Data 0.001 (0.001) Loss 1.2906 (1.4806) Prec@1 71.094 (65.868) Prec@5 88.281 (85.356) Epoch: [61][3130/10010] Time 0.314 (0.327) Data 0.001 (0.001) Loss 1.5592 (1.4806) Prec@1 63.281 (65.869) Prec@5 82.031 (85.354) Epoch: [61][3140/10010] Time 0.340 (0.327) Data 0.000 (0.001) Loss 1.6887 (1.4807) Prec@1 62.500 (65.870) Prec@5 83.594 (85.354) Epoch: [61][3150/10010] Time 0.318 (0.327) Data 0.001 (0.001) Loss 1.5752 (1.4806) Prec@1 59.375 (65.869) Prec@5 81.250 (85.352) Epoch: [61][3160/10010] Time 0.318 (0.327) Data 0.001 (0.001) Loss 1.2932 (1.4804) Prec@1 71.094 (65.869) Prec@5 90.625 (85.359) Epoch: [61][3170/10010] Time 0.339 (0.327) Data 0.001 (0.001) Loss 1.2313 (1.4803) Prec@1 71.875 (65.869) Prec@5 90.625 (85.362) Epoch: [61][3180/10010] Time 0.333 (0.327) Data 0.001 (0.001) Loss 1.3797 (1.4802) Prec@1 63.281 (65.866) Prec@5 89.062 (85.364) Epoch: [61][3190/10010] Time 0.305 (0.327) Data 0.001 (0.001) Loss 1.3072 (1.4803) Prec@1 63.281 (65.862) Prec@5 87.500 (85.366) Epoch: [61][3200/10010] Time 0.332 (0.327) Data 0.001 (0.001) Loss 1.3957 (1.4805) Prec@1 71.094 (65.860) Prec@5 85.938 (85.363) Epoch: [61][3210/10010] Time 0.313 (0.327) Data 0.001 (0.001) Loss 1.4350 (1.4803) Prec@1 66.406 (65.861) Prec@5 89.844 (85.367) Epoch: [61][3220/10010] Time 0.318 (0.327) Data 0.001 (0.001) Loss 1.3316 (1.4805) Prec@1 67.969 (65.854) Prec@5 88.281 (85.365) Epoch: [61][3230/10010] Time 0.334 (0.327) Data 0.001 (0.001) Loss 1.4881 (1.4805) Prec@1 61.719 (65.858) Prec@5 84.375 (85.363) Epoch: [61][3240/10010] Time 0.320 (0.327) Data 0.001 (0.001) Loss 1.3871 (1.4805) Prec@1 71.875 (65.859) Prec@5 86.719 (85.363) Epoch: [61][3250/10010] Time 0.332 (0.327) Data 0.001 (0.001) Loss 1.5924 (1.4803) Prec@1 61.719 (65.861) Prec@5 85.156 (85.366) Epoch: [61][3260/10010] Time 0.335 (0.327) Data 0.001 (0.001) Loss 1.3180 (1.4804) Prec@1 71.094 (65.862) Prec@5 85.156 (85.362) Epoch: [61][3270/10010] Time 0.331 (0.327) Data 0.001 (0.001) Loss 1.4964 (1.4806) Prec@1 64.062 (65.857) Prec@5 85.938 (85.359) Epoch: [61][3280/10010] Time 0.320 (0.327) Data 0.001 (0.001) Loss 1.1906 (1.4807) Prec@1 73.438 (65.859) Prec@5 86.719 (85.358) Epoch: [61][3290/10010] Time 0.339 (0.327) Data 0.001 (0.001) Loss 1.4162 (1.4810) Prec@1 68.750 (65.850) Prec@5 87.500 (85.354) Epoch: [61][3300/10010] Time 0.310 (0.327) Data 0.001 (0.001) Loss 1.3905 (1.4813) Prec@1 67.188 (65.845) Prec@5 87.500 (85.350) Epoch: [61][3310/10010] Time 0.341 (0.327) Data 0.000 (0.001) Loss 1.3610 (1.4812) Prec@1 71.094 (65.852) Prec@5 88.281 (85.351) Epoch: [61][3320/10010] Time 0.313 (0.327) Data 0.001 (0.001) Loss 1.7433 (1.4813) Prec@1 57.031 (65.843) Prec@5 82.812 (85.351) Epoch: [61][3330/10010] Time 0.319 (0.327) Data 0.000 (0.001) Loss 1.2638 (1.4813) Prec@1 70.312 (65.844) Prec@5 86.719 (85.348) Epoch: [61][3340/10010] Time 0.322 (0.327) Data 0.000 (0.001) Loss 1.1994 (1.4813) Prec@1 73.438 (65.841) Prec@5 90.625 (85.349) Epoch: [61][3350/10010] Time 0.315 (0.327) Data 0.001 (0.001) Loss 1.0702 (1.4811) Prec@1 74.219 (65.843) Prec@5 91.406 (85.347) Epoch: [61][3360/10010] Time 0.326 (0.327) Data 0.001 (0.001) Loss 1.7238 (1.4813) Prec@1 58.594 (65.840) Prec@5 81.250 (85.344) Epoch: [61][3370/10010] Time 0.320 (0.327) Data 0.001 (0.001) Loss 1.6555 (1.4813) Prec@1 64.844 (65.845) Prec@5 82.812 (85.345) Epoch: [61][3380/10010] Time 0.304 (0.327) Data 0.001 (0.001) Loss 1.3667 (1.4815) Prec@1 67.188 (65.842) Prec@5 89.062 (85.345) Epoch: [61][3390/10010] Time 0.314 (0.327) Data 0.001 (0.001) Loss 1.6367 (1.4815) Prec@1 63.281 (65.844) Prec@5 82.031 (85.343) Epoch: [61][3400/10010] Time 0.319 (0.327) Data 0.000 (0.001) Loss 1.6987 (1.4814) Prec@1 64.062 (65.844) Prec@5 82.031 (85.344) Epoch: [61][3410/10010] Time 0.322 (0.327) Data 0.001 (0.001) Loss 1.7459 (1.4817) Prec@1 64.844 (65.839) Prec@5 78.906 (85.339) Epoch: [61][3420/10010] Time 0.318 (0.327) Data 0.000 (0.001) Loss 1.1675 (1.4813) Prec@1 73.438 (65.848) Prec@5 87.500 (85.341) Epoch: [61][3430/10010] Time 0.330 (0.327) Data 0.001 (0.001) Loss 1.7959 (1.4815) Prec@1 59.375 (65.846) Prec@5 79.688 (85.339) Epoch: [61][3440/10010] Time 0.338 (0.327) Data 0.000 (0.001) Loss 1.2179 (1.4816) Prec@1 69.531 (65.845) Prec@5 88.281 (85.334) Epoch: [61][3450/10010] Time 0.329 (0.327) Data 0.001 (0.001) Loss 1.6005 (1.4815) Prec@1 67.188 (65.848) Prec@5 85.156 (85.333) Epoch: [61][3460/10010] Time 0.321 (0.327) Data 0.001 (0.001) Loss 1.3599 (1.4815) Prec@1 69.531 (65.851) Prec@5 87.500 (85.334) Epoch: [61][3470/10010] Time 0.316 (0.327) Data 0.001 (0.001) Loss 1.2649 (1.4814) Prec@1 74.219 (65.860) Prec@5 87.500 (85.334) Epoch: [61][3480/10010] Time 0.320 (0.327) Data 0.001 (0.001) Loss 1.1543 (1.4815) Prec@1 75.000 (65.859) Prec@5 89.844 (85.332) Epoch: [61][3490/10010] Time 0.341 (0.327) Data 0.001 (0.001) Loss 1.5445 (1.4815) Prec@1 63.281 (65.860) Prec@5 85.938 (85.332) Epoch: [61][3500/10010] Time 0.337 (0.327) Data 0.001 (0.001) Loss 1.3327 (1.4815) Prec@1 67.969 (65.849) Prec@5 88.281 (85.332) Epoch: [61][3510/10010] Time 0.321 (0.327) Data 0.001 (0.001) Loss 1.5111 (1.4815) Prec@1 67.969 (65.853) Prec@5 85.938 (85.334) Epoch: [61][3520/10010] Time 0.324 (0.327) Data 0.001 (0.001) Loss 1.6942 (1.4816) Prec@1 65.625 (65.851) Prec@5 83.594 (85.335) Epoch: [61][3530/10010] Time 0.326 (0.327) Data 0.000 (0.001) Loss 1.5212 (1.4815) Prec@1 59.375 (65.852) Prec@5 89.844 (85.337) Epoch: [61][3540/10010] Time 0.318 (0.327) Data 0.000 (0.001) Loss 1.4649 (1.4814) Prec@1 67.969 (65.854) Prec@5 83.594 (85.337) Epoch: [61][3550/10010] Time 0.328 (0.327) Data 0.001 (0.001) Loss 1.4111 (1.4814) Prec@1 66.406 (65.853) Prec@5 89.844 (85.340) Epoch: [61][3560/10010] Time 0.339 (0.327) Data 0.001 (0.001) Loss 1.7041 (1.4813) Prec@1 61.719 (65.854) Prec@5 83.594 (85.341) Epoch: [61][3570/10010] Time 0.343 (0.327) Data 0.001 (0.001) Loss 1.4974 (1.4810) Prec@1 64.844 (65.859) Prec@5 85.938 (85.345) Epoch: [61][3580/10010] Time 0.329 (0.327) Data 0.001 (0.001) Loss 1.3864 (1.4811) Prec@1 65.625 (65.856) Prec@5 86.719 (85.340) Epoch: [61][3590/10010] Time 0.331 (0.327) Data 0.001 (0.001) Loss 1.7929 (1.4812) Prec@1 58.594 (65.854) Prec@5 77.344 (85.340) Epoch: [61][3600/10010] Time 0.340 (0.327) Data 0.001 (0.001) Loss 1.3217 (1.4813) Prec@1 73.438 (65.854) Prec@5 88.281 (85.336) Epoch: [61][3610/10010] Time 0.313 (0.327) Data 0.001 (0.001) Loss 1.7541 (1.4815) Prec@1 66.406 (65.852) Prec@5 81.250 (85.336) Epoch: [61][3620/10010] Time 0.338 (0.327) Data 0.001 (0.001) Loss 1.5207 (1.4816) Prec@1 67.188 (65.848) Prec@5 82.812 (85.336) Epoch: [61][3630/10010] Time 0.335 (0.327) Data 0.000 (0.001) Loss 1.3651 (1.4814) Prec@1 69.531 (65.850) Prec@5 89.844 (85.340) Epoch: [61][3640/10010] Time 0.340 (0.327) Data 0.001 (0.001) Loss 1.4039 (1.4814) Prec@1 67.969 (65.848) Prec@5 85.938 (85.339) Epoch: [61][3650/10010] Time 0.336 (0.327) Data 0.001 (0.001) Loss 1.2118 (1.4815) Prec@1 74.219 (65.846) Prec@5 91.406 (85.339) Epoch: [61][3660/10010] Time 0.337 (0.327) Data 0.001 (0.001) Loss 1.5707 (1.4816) Prec@1 60.938 (65.842) Prec@5 84.375 (85.338) Epoch: [61][3670/10010] Time 0.314 (0.327) Data 0.000 (0.001) Loss 1.2887 (1.4816) Prec@1 64.844 (65.841) Prec@5 88.281 (85.335) Epoch: [61][3680/10010] Time 0.337 (0.327) Data 0.001 (0.001) Loss 1.3280 (1.4815) Prec@1 68.750 (65.846) Prec@5 87.500 (85.336) Epoch: [61][3690/10010] Time 0.334 (0.327) Data 0.000 (0.001) Loss 1.6439 (1.4814) Prec@1 64.062 (65.852) Prec@5 83.594 (85.339) Epoch: [61][3700/10010] Time 0.338 (0.327) Data 0.001 (0.001) Loss 1.7611 (1.4814) Prec@1 61.719 (65.852) Prec@5 76.562 (85.339) Epoch: [61][3710/10010] Time 0.341 (0.327) Data 0.001 (0.001) Loss 1.3623 (1.4813) Prec@1 65.625 (65.856) Prec@5 87.500 (85.339) Epoch: [61][3720/10010] Time 0.316 (0.327) Data 0.001 (0.001) Loss 1.0934 (1.4810) Prec@1 74.219 (65.863) Prec@5 91.406 (85.341) Epoch: [61][3730/10010] Time 0.316 (0.327) Data 0.001 (0.001) Loss 1.8631 (1.4812) Prec@1 54.688 (65.858) Prec@5 80.469 (85.338) Epoch: [61][3740/10010] Time 0.331 (0.327) Data 0.001 (0.001) Loss 1.4576 (1.4810) Prec@1 67.188 (65.863) Prec@5 82.812 (85.339) Epoch: [61][3750/10010] Time 0.319 (0.327) Data 0.000 (0.001) Loss 1.5816 (1.4810) Prec@1 64.844 (65.865) Prec@5 80.469 (85.340) Epoch: [61][3760/10010] Time 0.328 (0.327) Data 0.001 (0.001) Loss 1.6380 (1.4812) Prec@1 62.500 (65.859) Prec@5 80.469 (85.336) Epoch: [61][3770/10010] Time 0.314 (0.327) Data 0.001 (0.001) Loss 1.5959 (1.4808) Prec@1 62.500 (65.866) Prec@5 85.938 (85.341) Epoch: [61][3780/10010] Time 0.317 (0.327) Data 0.001 (0.001) Loss 1.3571 (1.4807) Prec@1 70.312 (65.867) Prec@5 87.500 (85.342) Epoch: [61][3790/10010] Time 0.330 (0.327) Data 0.001 (0.001) Loss 1.2719 (1.4807) Prec@1 67.188 (65.860) Prec@5 89.844 (85.343) Epoch: [61][3800/10010] Time 0.342 (0.327) Data 0.000 (0.001) Loss 1.5610 (1.4808) Prec@1 67.969 (65.861) Prec@5 83.594 (85.341) Epoch: [61][3810/10010] Time 0.323 (0.327) Data 0.001 (0.001) Loss 1.6812 (1.4808) Prec@1 61.719 (65.863) Prec@5 82.812 (85.343) Epoch: [61][3820/10010] Time 0.312 (0.327) Data 0.001 (0.001) Loss 1.5590 (1.4806) Prec@1 60.938 (65.862) Prec@5 82.812 (85.346) Epoch: [61][3830/10010] Time 0.340 (0.327) Data 0.000 (0.001) Loss 1.7876 (1.4806) Prec@1 60.938 (65.864) Prec@5 78.906 (85.342) Epoch: [61][3840/10010] Time 0.324 (0.327) Data 0.000 (0.001) Loss 1.5404 (1.4806) Prec@1 60.938 (65.864) Prec@5 83.594 (85.342) Epoch: [61][3850/10010] Time 0.339 (0.327) Data 0.001 (0.001) Loss 1.5739 (1.4806) Prec@1 63.281 (65.862) Prec@5 83.594 (85.342) Epoch: [61][3860/10010] Time 0.334 (0.327) Data 0.000 (0.001) Loss 1.4841 (1.4809) Prec@1 67.188 (65.861) Prec@5 82.812 (85.337) Epoch: [61][3870/10010] Time 0.314 (0.327) Data 0.001 (0.001) Loss 1.4895 (1.4808) Prec@1 64.844 (65.861) Prec@5 86.719 (85.337) Epoch: [61][3880/10010] Time 0.325 (0.327) Data 0.001 (0.001) Loss 1.2839 (1.4809) Prec@1 68.750 (65.854) Prec@5 89.062 (85.335) Epoch: [61][3890/10010] Time 0.338 (0.327) Data 0.000 (0.001) Loss 1.5944 (1.4811) Prec@1 65.625 (65.853) Prec@5 82.031 (85.330) Epoch: [61][3900/10010] Time 0.335 (0.327) Data 0.000 (0.001) Loss 1.9200 (1.4812) Prec@1 57.812 (65.856) Prec@5 79.688 (85.328) Epoch: [61][3910/10010] Time 0.337 (0.327) Data 0.001 (0.001) Loss 1.5786 (1.4815) Prec@1 61.719 (65.848) Prec@5 82.031 (85.325) Epoch: [61][3920/10010] Time 0.318 (0.327) Data 0.000 (0.001) Loss 1.4979 (1.4817) Prec@1 64.062 (65.841) Prec@5 85.156 (85.322) Epoch: [61][3930/10010] Time 0.339 (0.327) Data 0.001 (0.001) Loss 1.3677 (1.4818) Prec@1 70.312 (65.837) Prec@5 85.156 (85.319) Epoch: [61][3940/10010] Time 0.315 (0.327) Data 0.001 (0.001) Loss 1.7315 (1.4819) Prec@1 60.156 (65.838) Prec@5 82.812 (85.319) Epoch: [61][3950/10010] Time 0.329 (0.327) Data 0.001 (0.001) Loss 1.2917 (1.4817) Prec@1 65.625 (65.838) Prec@5 90.625 (85.321) Epoch: [61][3960/10010] Time 0.312 (0.327) Data 0.000 (0.001) Loss 1.8853 (1.4817) Prec@1 60.156 (65.840) Prec@5 77.344 (85.321) Epoch: [61][3970/10010] Time 0.322 (0.327) Data 0.001 (0.001) Loss 1.4054 (1.4817) Prec@1 67.969 (65.839) Prec@5 85.156 (85.320) Epoch: [61][3980/10010] Time 0.334 (0.327) Data 0.000 (0.001) Loss 1.7213 (1.4819) Prec@1 60.938 (65.836) Prec@5 81.250 (85.318) Epoch: [61][3990/10010] Time 0.321 (0.327) Data 0.001 (0.001) Loss 1.1723 (1.4819) Prec@1 67.969 (65.837) Prec@5 86.719 (85.314) Epoch: [61][4000/10010] Time 0.318 (0.327) Data 0.001 (0.001) Loss 1.5359 (1.4820) Prec@1 62.500 (65.832) Prec@5 81.250 (85.309) Epoch: [61][4010/10010] Time 0.336 (0.327) Data 0.000 (0.001) Loss 1.5730 (1.4820) Prec@1 63.281 (65.830) Prec@5 82.812 (85.310) Epoch: [61][4020/10010] Time 0.336 (0.327) Data 0.001 (0.001) Loss 1.3688 (1.4820) Prec@1 69.531 (65.831) Prec@5 86.719 (85.308) Epoch: [61][4030/10010] Time 0.332 (0.327) Data 0.000 (0.001) Loss 1.4818 (1.4821) Prec@1 62.500 (65.829) Prec@5 87.500 (85.306) Epoch: [61][4040/10010] Time 0.320 (0.327) Data 0.001 (0.001) Loss 1.3038 (1.4822) Prec@1 67.969 (65.825) Prec@5 89.844 (85.307) Epoch: [61][4050/10010] Time 0.323 (0.327) Data 0.001 (0.001) Loss 1.1755 (1.4821) Prec@1 66.406 (65.826) Prec@5 92.188 (85.308) Epoch: [61][4060/10010] Time 0.331 (0.327) Data 0.001 (0.001) Loss 1.4056 (1.4822) Prec@1 63.281 (65.828) Prec@5 87.500 (85.306) Epoch: [61][4070/10010] Time 0.335 (0.327) Data 0.001 (0.001) Loss 1.5256 (1.4823) Prec@1 68.750 (65.827) Prec@5 85.938 (85.306) Epoch: [61][4080/10010] Time 0.331 (0.327) Data 0.001 (0.001) Loss 1.3877 (1.4822) Prec@1 72.656 (65.824) Prec@5 87.500 (85.308) Epoch: [61][4090/10010] Time 0.330 (0.327) Data 0.000 (0.001) Loss 1.6751 (1.4822) Prec@1 61.719 (65.822) Prec@5 83.594 (85.309) Epoch: [61][4100/10010] Time 0.317 (0.327) Data 0.001 (0.001) Loss 1.8101 (1.4823) Prec@1 63.281 (65.820) Prec@5 78.125 (85.307) Epoch: [61][4110/10010] Time 0.319 (0.327) Data 0.001 (0.001) Loss 1.5236 (1.4822) Prec@1 68.750 (65.821) Prec@5 83.594 (85.310) Epoch: [61][4120/10010] Time 0.339 (0.327) Data 0.000 (0.001) Loss 1.4961 (1.4820) Prec@1 64.844 (65.825) Prec@5 83.594 (85.312) Epoch: [61][4130/10010] Time 0.323 (0.327) Data 0.001 (0.001) Loss 1.8732 (1.4820) Prec@1 58.594 (65.822) Prec@5 77.344 (85.312) Epoch: [61][4140/10010] Time 0.317 (0.327) Data 0.000 (0.001) Loss 1.5087 (1.4822) Prec@1 64.844 (65.818) Prec@5 84.375 (85.307) Epoch: [61][4150/10010] Time 0.313 (0.327) Data 0.001 (0.001) Loss 1.7659 (1.4822) Prec@1 56.250 (65.818) Prec@5 84.375 (85.307) Epoch: [61][4160/10010] Time 0.330 (0.327) Data 0.001 (0.001) Loss 1.5070 (1.4821) Prec@1 65.625 (65.818) Prec@5 84.375 (85.309) Epoch: [61][4170/10010] Time 0.321 (0.327) Data 0.000 (0.001) Loss 1.7543 (1.4822) Prec@1 63.281 (65.817) Prec@5 78.906 (85.305) Epoch: [61][4180/10010] Time 0.320 (0.327) Data 0.001 (0.001) Loss 1.2197 (1.4819) Prec@1 66.406 (65.816) Prec@5 89.062 (85.309) Epoch: [61][4190/10010] Time 0.320 (0.327) Data 0.001 (0.001) Loss 1.6529 (1.4818) Prec@1 62.500 (65.820) Prec@5 83.594 (85.312) Epoch: [61][4200/10010] Time 0.333 (0.327) Data 0.000 (0.001) Loss 1.3787 (1.4815) Prec@1 74.219 (65.829) Prec@5 85.156 (85.315) Epoch: [61][4210/10010] Time 0.330 (0.327) Data 0.001 (0.001) Loss 1.7686 (1.4815) Prec@1 60.938 (65.832) Prec@5 79.688 (85.313) Epoch: [61][4220/10010] Time 0.331 (0.327) Data 0.001 (0.001) Loss 1.4684 (1.4813) Prec@1 69.531 (65.839) Prec@5 89.062 (85.316) Epoch: [61][4230/10010] Time 0.321 (0.327) Data 0.001 (0.001) Loss 1.6569 (1.4813) Prec@1 61.719 (65.840) Prec@5 81.250 (85.315) Epoch: [61][4240/10010] Time 0.311 (0.327) Data 0.001 (0.001) Loss 1.6583 (1.4813) Prec@1 58.594 (65.837) Prec@5 84.375 (85.318) Epoch: [61][4250/10010] Time 0.318 (0.327) Data 0.001 (0.001) Loss 1.4821 (1.4812) Prec@1 63.281 (65.838) Prec@5 85.938 (85.319) Epoch: [61][4260/10010] Time 0.318 (0.327) Data 0.000 (0.001) Loss 1.2267 (1.4811) Prec@1 71.875 (65.841) Prec@5 91.406 (85.321) Epoch: [61][4270/10010] Time 0.336 (0.327) Data 0.001 (0.001) Loss 1.7672 (1.4810) Prec@1 60.156 (65.847) Prec@5 84.375 (85.324) Epoch: [61][4280/10010] Time 0.336 (0.327) Data 0.000 (0.001) Loss 1.5192 (1.4810) Prec@1 63.281 (65.847) Prec@5 80.469 (85.323) Epoch: [61][4290/10010] Time 0.316 (0.327) Data 0.000 (0.001) Loss 1.5653 (1.4810) Prec@1 65.625 (65.849) Prec@5 85.156 (85.322) Epoch: [61][4300/10010] Time 0.335 (0.327) Data 0.001 (0.001) Loss 1.2257 (1.4807) Prec@1 71.094 (65.854) Prec@5 89.844 (85.326) Epoch: [61][4310/10010] Time 0.337 (0.327) Data 0.001 (0.001) Loss 1.6525 (1.4809) Prec@1 62.500 (65.850) Prec@5 83.594 (85.321) Epoch: [61][4320/10010] Time 0.317 (0.327) Data 0.001 (0.001) Loss 1.3748 (1.4808) Prec@1 70.312 (65.854) Prec@5 85.938 (85.323) Epoch: [61][4330/10010] Time 0.329 (0.327) Data 0.001 (0.001) Loss 1.4052 (1.4809) Prec@1 66.406 (65.849) Prec@5 87.500 (85.325) Epoch: [61][4340/10010] Time 0.335 (0.327) Data 0.001 (0.001) Loss 1.4033 (1.4809) Prec@1 70.312 (65.848) Prec@5 89.062 (85.328) Epoch: [61][4350/10010] Time 0.311 (0.327) Data 0.000 (0.001) Loss 1.3689 (1.4809) Prec@1 66.406 (65.847) Prec@5 86.719 (85.327) Epoch: [61][4360/10010] Time 0.328 (0.327) Data 0.000 (0.001) Loss 1.3792 (1.4809) Prec@1 70.312 (65.849) Prec@5 88.281 (85.328) Epoch: [61][4370/10010] Time 0.327 (0.327) Data 0.001 (0.001) Loss 1.1778 (1.4808) Prec@1 75.000 (65.850) Prec@5 86.719 (85.329) Epoch: [61][4380/10010] Time 0.342 (0.327) Data 0.001 (0.001) Loss 1.3671 (1.4810) Prec@1 64.844 (65.851) Prec@5 89.062 (85.327) Epoch: [61][4390/10010] Time 0.334 (0.327) Data 0.001 (0.001) Loss 1.3860 (1.4813) Prec@1 67.188 (65.845) Prec@5 86.719 (85.323) Epoch: [61][4400/10010] Time 0.314 (0.327) Data 0.000 (0.001) Loss 1.3652 (1.4810) Prec@1 69.531 (65.853) Prec@5 88.281 (85.326) Epoch: [61][4410/10010] Time 0.313 (0.327) Data 0.001 (0.001) Loss 1.4146 (1.4811) Prec@1 67.969 (65.848) Prec@5 85.938 (85.323) Epoch: [61][4420/10010] Time 0.337 (0.327) Data 0.001 (0.001) Loss 1.6759 (1.4811) Prec@1 60.156 (65.849) Prec@5 82.812 (85.326) Epoch: [61][4430/10010] Time 0.328 (0.327) Data 0.001 (0.001) Loss 1.4467 (1.4809) Prec@1 67.969 (65.854) Prec@5 87.500 (85.326) Epoch: [61][4440/10010] Time 0.326 (0.327) Data 0.000 (0.001) Loss 1.7241 (1.4808) Prec@1 60.938 (65.858) Prec@5 85.156 (85.328) Epoch: [61][4450/10010] Time 0.329 (0.327) Data 0.000 (0.001) Loss 1.7367 (1.4808) Prec@1 62.500 (65.858) Prec@5 82.031 (85.327) Epoch: [61][4460/10010] Time 0.334 (0.327) Data 0.000 (0.001) Loss 1.3664 (1.4809) Prec@1 67.188 (65.856) Prec@5 83.594 (85.325) Epoch: [61][4470/10010] Time 0.324 (0.327) Data 0.001 (0.001) Loss 1.6428 (1.4811) Prec@1 62.500 (65.855) Prec@5 83.594 (85.323) Epoch: [61][4480/10010] Time 0.333 (0.327) Data 0.000 (0.001) Loss 1.8410 (1.4812) Prec@1 55.469 (65.851) Prec@5 78.125 (85.322) Epoch: [61][4490/10010] Time 0.329 (0.327) Data 0.001 (0.001) Loss 1.3018 (1.4812) Prec@1 68.750 (65.851) Prec@5 88.281 (85.321) Epoch: [61][4500/10010] Time 0.321 (0.327) Data 0.001 (0.001) Loss 1.6401 (1.4813) Prec@1 62.500 (65.851) Prec@5 83.594 (85.318) Epoch: [61][4510/10010] Time 0.335 (0.327) Data 0.001 (0.001) Loss 1.5524 (1.4814) Prec@1 63.281 (65.851) Prec@5 85.156 (85.316) Epoch: [61][4520/10010] Time 0.312 (0.327) Data 0.000 (0.001) Loss 1.5078 (1.4814) Prec@1 67.188 (65.852) Prec@5 85.938 (85.316) Epoch: [61][4530/10010] Time 0.324 (0.327) Data 0.000 (0.001) Loss 1.8530 (1.4814) Prec@1 60.938 (65.847) Prec@5 81.250 (85.316) Epoch: [61][4540/10010] Time 0.344 (0.327) Data 0.000 (0.001) Loss 1.4234 (1.4814) Prec@1 66.406 (65.846) Prec@5 85.938 (85.317) Epoch: [61][4550/10010] Time 0.316 (0.327) Data 0.001 (0.001) Loss 1.3576 (1.4813) Prec@1 65.625 (65.851) Prec@5 86.719 (85.319) Epoch: [61][4560/10010] Time 0.333 (0.327) Data 0.001 (0.001) Loss 1.3902 (1.4811) Prec@1 64.844 (65.854) Prec@5 85.938 (85.322) Epoch: [61][4570/10010] Time 0.342 (0.327) Data 0.001 (0.001) Loss 1.2535 (1.4810) Prec@1 66.406 (65.854) Prec@5 88.281 (85.324) Epoch: [61][4580/10010] Time 0.328 (0.327) Data 0.000 (0.001) Loss 1.1551 (1.4809) Prec@1 73.438 (65.856) Prec@5 88.281 (85.325) Epoch: [61][4590/10010] Time 0.338 (0.327) Data 0.001 (0.001) Loss 1.3137 (1.4807) Prec@1 71.094 (65.856) Prec@5 89.062 (85.327) Epoch: [61][4600/10010] Time 0.344 (0.327) Data 0.000 (0.001) Loss 1.5214 (1.4808) Prec@1 67.969 (65.854) Prec@5 85.938 (85.325) Epoch: [61][4610/10010] Time 0.312 (0.327) Data 0.001 (0.001) Loss 1.6328 (1.4810) Prec@1 61.719 (65.852) Prec@5 80.469 (85.323) Epoch: [61][4620/10010] Time 0.310 (0.327) Data 0.001 (0.001) Loss 1.6414 (1.4809) Prec@1 69.531 (65.855) Prec@5 83.594 (85.325) Epoch: [61][4630/10010] Time 0.332 (0.327) Data 0.000 (0.001) Loss 1.7679 (1.4810) Prec@1 60.938 (65.853) Prec@5 85.156 (85.323) Epoch: [61][4640/10010] Time 0.317 (0.327) Data 0.000 (0.001) Loss 1.2249 (1.4809) Prec@1 72.656 (65.855) Prec@5 85.938 (85.325) Epoch: [61][4650/10010] Time 0.312 (0.327) Data 0.003 (0.001) Loss 1.6505 (1.4810) Prec@1 58.594 (65.855) Prec@5 81.250 (85.326) Epoch: [61][4660/10010] Time 0.325 (0.327) Data 0.001 (0.001) Loss 1.5087 (1.4811) Prec@1 68.750 (65.856) Prec@5 83.594 (85.324) Epoch: [61][4670/10010] Time 0.338 (0.327) Data 0.000 (0.001) Loss 1.4286 (1.4810) Prec@1 67.969 (65.858) Prec@5 86.719 (85.325) Epoch: [61][4680/10010] Time 0.329 (0.327) Data 0.001 (0.001) Loss 1.4991 (1.4809) Prec@1 68.750 (65.858) Prec@5 83.594 (85.324) Epoch: [61][4690/10010] Time 0.320 (0.327) Data 0.000 (0.001) Loss 1.5093 (1.4809) Prec@1 63.281 (65.860) Prec@5 86.719 (85.322) Epoch: [61][4700/10010] Time 0.336 (0.327) Data 0.000 (0.001) Loss 2.0289 (1.4812) Prec@1 55.469 (65.854) Prec@5 75.781 (85.318) Epoch: [61][4710/10010] Time 0.333 (0.327) Data 0.001 (0.001) Loss 1.4374 (1.4812) Prec@1 68.750 (65.852) Prec@5 87.500 (85.319) Epoch: [61][4720/10010] Time 0.323 (0.327) Data 0.001 (0.001) Loss 1.2783 (1.4810) Prec@1 65.625 (65.856) Prec@5 89.062 (85.326) Epoch: [61][4730/10010] Time 0.325 (0.327) Data 0.001 (0.001) Loss 1.9449 (1.4812) Prec@1 55.469 (65.853) Prec@5 78.906 (85.322) Epoch: [61][4740/10010] Time 0.336 (0.327) Data 0.001 (0.001) Loss 1.2506 (1.4811) Prec@1 71.875 (65.854) Prec@5 88.281 (85.325) Epoch: [61][4750/10010] Time 0.318 (0.327) Data 0.001 (0.001) Loss 1.2605 (1.4810) Prec@1 69.531 (65.858) Prec@5 88.281 (85.326) Epoch: [61][4760/10010] Time 0.315 (0.327) Data 0.001 (0.001) Loss 1.4235 (1.4811) Prec@1 67.188 (65.857) Prec@5 82.031 (85.324) Epoch: [61][4770/10010] Time 0.317 (0.327) Data 0.001 (0.001) Loss 1.8192 (1.4812) Prec@1 60.938 (65.851) Prec@5 78.906 (85.321) Epoch: [61][4780/10010] Time 0.315 (0.327) Data 0.001 (0.001) Loss 1.2108 (1.4811) Prec@1 68.750 (65.851) Prec@5 87.500 (85.324) Epoch: [61][4790/10010] Time 0.329 (0.327) Data 0.001 (0.001) Loss 1.4049 (1.4809) Prec@1 67.188 (65.854) Prec@5 85.938 (85.329) Epoch: [61][4800/10010] Time 0.323 (0.327) Data 0.001 (0.001) Loss 1.2387 (1.4807) Prec@1 67.969 (65.856) Prec@5 89.062 (85.329) Epoch: [61][4810/10010] Time 0.325 (0.327) Data 0.001 (0.001) Loss 1.4614 (1.4806) Prec@1 65.625 (65.857) Prec@5 82.031 (85.330) Epoch: [61][4820/10010] Time 0.328 (0.327) Data 0.000 (0.001) Loss 1.6210 (1.4808) Prec@1 60.156 (65.855) Prec@5 82.812 (85.327) Epoch: [61][4830/10010] Time 0.328 (0.327) Data 0.001 (0.001) Loss 1.4958 (1.4808) Prec@1 67.188 (65.855) Prec@5 81.250 (85.327) Epoch: [61][4840/10010] Time 0.310 (0.327) Data 0.001 (0.001) Loss 1.2451 (1.4806) Prec@1 70.312 (65.861) Prec@5 89.844 (85.332) Epoch: [61][4850/10010] Time 0.314 (0.327) Data 0.001 (0.001) Loss 1.4717 (1.4805) Prec@1 64.844 (65.863) Prec@5 85.156 (85.331) Epoch: [61][4860/10010] Time 0.326 (0.327) Data 0.001 (0.001) Loss 1.5960 (1.4805) Prec@1 59.375 (65.862) Prec@5 84.375 (85.332) Epoch: [61][4870/10010] Time 0.319 (0.327) Data 0.001 (0.001) Loss 1.8209 (1.4806) Prec@1 62.500 (65.858) Prec@5 82.031 (85.332) Epoch: [61][4880/10010] Time 0.341 (0.327) Data 0.001 (0.001) Loss 1.4022 (1.4806) Prec@1 69.531 (65.858) Prec@5 88.281 (85.331) Epoch: [61][4890/10010] Time 0.324 (0.327) Data 0.001 (0.001) Loss 1.3916 (1.4807) Prec@1 71.094 (65.858) Prec@5 88.281 (85.330) Epoch: [61][4900/10010] Time 0.338 (0.327) Data 0.000 (0.001) Loss 1.4391 (1.4807) Prec@1 68.750 (65.859) Prec@5 84.375 (85.330) Epoch: [61][4910/10010] Time 0.339 (0.327) Data 0.001 (0.001) Loss 1.2526 (1.4807) Prec@1 68.750 (65.859) Prec@5 89.062 (85.329) Epoch: [61][4920/10010] Time 0.323 (0.327) Data 0.001 (0.001) Loss 1.6520 (1.4806) Prec@1 66.406 (65.861) Prec@5 84.375 (85.331) Epoch: [61][4930/10010] Time 0.321 (0.327) Data 0.000 (0.001) Loss 1.2596 (1.4806) Prec@1 69.531 (65.860) Prec@5 90.625 (85.331) Epoch: [61][4940/10010] Time 0.321 (0.327) Data 0.001 (0.001) Loss 1.3597 (1.4806) Prec@1 65.625 (65.865) Prec@5 88.281 (85.332) Epoch: [61][4950/10010] Time 0.327 (0.327) Data 0.000 (0.001) Loss 1.3759 (1.4806) Prec@1 64.062 (65.865) Prec@5 89.062 (85.331) Epoch: [61][4960/10010] Time 0.320 (0.327) Data 0.000 (0.001) Loss 1.4233 (1.4806) Prec@1 67.188 (65.863) Prec@5 85.938 (85.331) Epoch: [61][4970/10010] Time 0.335 (0.327) Data 0.001 (0.001) Loss 1.5196 (1.4806) Prec@1 64.062 (65.860) Prec@5 83.594 (85.331) Epoch: [61][4980/10010] Time 0.319 (0.327) Data 0.001 (0.001) Loss 1.5888 (1.4806) Prec@1 62.500 (65.860) Prec@5 84.375 (85.330) Epoch: [61][4990/10010] Time 0.326 (0.327) Data 0.001 (0.001) Loss 1.8026 (1.4806) Prec@1 60.938 (65.860) Prec@5 78.906 (85.330) Epoch: [61][5000/10010] Time 0.321 (0.327) Data 0.000 (0.001) Loss 1.5436 (1.4805) Prec@1 66.406 (65.864) Prec@5 83.594 (85.331) Epoch: [61][5010/10010] Time 0.321 (0.327) Data 0.001 (0.001) Loss 1.6458 (1.4805) Prec@1 62.500 (65.865) Prec@5 84.375 (85.333) Epoch: [61][5020/10010] Time 0.341 (0.327) Data 0.001 (0.001) Loss 1.6732 (1.4806) Prec@1 58.594 (65.864) Prec@5 80.469 (85.332) Epoch: [61][5030/10010] Time 0.337 (0.327) Data 0.001 (0.001) Loss 1.3869 (1.4805) Prec@1 71.875 (65.867) Prec@5 85.156 (85.332) Epoch: [61][5040/10010] Time 0.329 (0.327) Data 0.001 (0.001) Loss 1.5750 (1.4807) Prec@1 62.500 (65.862) Prec@5 82.812 (85.331) Epoch: [61][5050/10010] Time 0.312 (0.327) Data 0.001 (0.001) Loss 1.0936 (1.4807) Prec@1 75.000 (65.862) Prec@5 93.750 (85.331) Epoch: [61][5060/10010] Time 0.327 (0.327) Data 0.001 (0.001) Loss 1.5049 (1.4808) Prec@1 71.875 (65.864) Prec@5 85.938 (85.327) Epoch: [61][5070/10010] Time 0.323 (0.327) Data 0.001 (0.001) Loss 1.4192 (1.4808) Prec@1 71.875 (65.863) Prec@5 83.594 (85.324) Epoch: [61][5080/10010] Time 0.333 (0.327) Data 0.000 (0.001) Loss 1.3193 (1.4808) Prec@1 71.094 (65.864) Prec@5 88.281 (85.324) Epoch: [61][5090/10010] Time 0.339 (0.327) Data 0.001 (0.001) Loss 1.2256 (1.4808) Prec@1 75.000 (65.866) Prec@5 89.062 (85.323) Epoch: [61][5100/10010] Time 0.342 (0.327) Data 0.000 (0.001) Loss 1.6353 (1.4810) Prec@1 66.406 (65.863) Prec@5 82.812 (85.322) Epoch: [61][5110/10010] Time 0.325 (0.327) Data 0.001 (0.001) Loss 1.6572 (1.4811) Prec@1 63.281 (65.860) Prec@5 83.594 (85.322) Epoch: [61][5120/10010] Time 0.316 (0.327) Data 0.001 (0.001) Loss 1.1617 (1.4810) Prec@1 71.875 (65.861) Prec@5 89.844 (85.323) Epoch: [61][5130/10010] Time 0.318 (0.327) Data 0.000 (0.001) Loss 1.4698 (1.4809) Prec@1 64.844 (65.861) Prec@5 87.500 (85.325) Epoch: [61][5140/10010] Time 0.333 (0.327) Data 0.001 (0.001) Loss 1.7612 (1.4811) Prec@1 62.500 (65.859) Prec@5 78.906 (85.322) Epoch: [61][5150/10010] Time 0.335 (0.327) Data 0.001 (0.001) Loss 1.6784 (1.4812) Prec@1 61.719 (65.857) Prec@5 83.594 (85.322) Epoch: [61][5160/10010] Time 0.337 (0.327) Data 0.001 (0.001) Loss 1.6007 (1.4813) Prec@1 63.281 (65.859) Prec@5 82.031 (85.321) Epoch: [61][5170/10010] Time 0.314 (0.327) Data 0.001 (0.001) Loss 1.5407 (1.4813) Prec@1 60.156 (65.858) Prec@5 85.938 (85.319) Epoch: [61][5180/10010] Time 0.317 (0.327) Data 0.000 (0.001) Loss 1.6016 (1.4814) Prec@1 67.188 (65.860) Prec@5 86.719 (85.318) Epoch: [61][5190/10010] Time 0.336 (0.327) Data 0.001 (0.001) Loss 1.5311 (1.4815) Prec@1 63.281 (65.859) Prec@5 85.156 (85.316) Epoch: [61][5200/10010] Time 0.339 (0.327) Data 0.000 (0.001) Loss 1.0499 (1.4813) Prec@1 71.875 (65.860) Prec@5 92.188 (85.318) /data/vision/torralba/deepscene/lib/anaconda2/lib/python2.7/site-packages/PIL/TiffImagePlugin.py:692: UserWarning: Possibly corrupt EXIF data. Expecting to read 2555904 bytes but only got 0. Skipping tag 0 "Skipping tag %s" % (size, len(data), tag)) Epoch: [61][5210/10010] Time 0.316 (0.327) Data 0.001 (0.001) Loss 1.4702 (1.4814) Prec@1 63.281 (65.856) Prec@5 83.594 (85.315) Epoch: [61][5220/10010] Time 0.316 (0.327) Data 0.000 (0.001) Loss 1.4724 (1.4814) Prec@1 65.625 (65.859) Prec@5 86.719 (85.316) Epoch: [61][5230/10010] Time 0.325 (0.327) Data 0.000 (0.001) Loss 1.4184 (1.4815) Prec@1 64.844 (65.859) Prec@5 84.375 (85.314) Epoch: [61][5240/10010] Time 0.334 (0.327) Data 0.000 (0.001) Loss 1.4199 (1.4814) Prec@1 64.844 (65.861) Prec@5 85.938 (85.313) Epoch: [61][5250/10010] Time 0.329 (0.327) Data 0.000 (0.001) Loss 1.5337 (1.4815) Prec@1 64.844 (65.861) Prec@5 84.375 (85.312) Epoch: [61][5260/10010] Time 0.335 (0.327) Data 0.001 (0.001) Loss 1.6585 (1.4814) Prec@1 64.844 (65.864) Prec@5 82.812 (85.313) Epoch: [61][5270/10010] Time 0.322 (0.327) Data 0.001 (0.001) Loss 1.3319 (1.4814) Prec@1 71.094 (65.865) Prec@5 85.938 (85.314) Epoch: [61][5280/10010] Time 0.319 (0.327) Data 0.001 (0.001) Loss 1.3076 (1.4813) Prec@1 73.438 (65.864) Prec@5 85.156 (85.314) Epoch: [61][5290/10010] Time 0.334 (0.327) Data 0.000 (0.001) Loss 1.4363 (1.4813) Prec@1 67.188 (65.863) Prec@5 88.281 (85.315) Epoch: [61][5300/10010] Time 0.328 (0.327) Data 0.001 (0.001) Loss 1.7010 (1.4813) Prec@1 60.938 (65.861) Prec@5 85.156 (85.315) Epoch: [61][5310/10010] Time 0.318 (0.327) Data 0.001 (0.001) Loss 1.4392 (1.4815) Prec@1 66.406 (65.857) Prec@5 85.938 (85.313) Epoch: [61][5320/10010] Time 0.341 (0.327) Data 0.000 (0.001) Loss 1.7167 (1.4816) Prec@1 59.375 (65.857) Prec@5 82.812 (85.312) Epoch: [61][5330/10010] Time 0.330 (0.327) Data 0.000 (0.001) Loss 1.1817 (1.4816) Prec@1 67.969 (65.857) Prec@5 91.406 (85.311) Epoch: [61][5340/10010] Time 0.335 (0.327) Data 0.001 (0.001) Loss 1.6547 (1.4815) Prec@1 67.188 (65.857) Prec@5 81.250 (85.312) Epoch: [61][5350/10010] Time 0.326 (0.327) Data 0.000 (0.001) Loss 1.1074 (1.4813) Prec@1 71.875 (65.862) Prec@5 89.844 (85.315) Epoch: [61][5360/10010] Time 0.324 (0.327) Data 0.001 (0.001) Loss 1.4908 (1.4813) Prec@1 64.844 (65.863) Prec@5 87.500 (85.315) Epoch: [61][5370/10010] Time 0.334 (0.327) Data 0.001 (0.001) Loss 1.2855 (1.4811) Prec@1 68.750 (65.867) Prec@5 89.844 (85.315) Epoch: [61][5380/10010] Time 0.313 (0.327) Data 0.001 (0.001) Loss 1.4218 (1.4812) Prec@1 67.969 (65.866) Prec@5 85.938 (85.312) Epoch: [61][5390/10010] Time 0.327 (0.327) Data 0.001 (0.001) Loss 1.2487 (1.4811) Prec@1 69.531 (65.868) Prec@5 91.406 (85.317) Epoch: [61][5400/10010] Time 0.320 (0.327) Data 0.001 (0.001) Loss 1.4363 (1.4812) Prec@1 67.969 (65.867) Prec@5 88.281 (85.316) Epoch: [61][5410/10010] Time 0.334 (0.327) Data 0.001 (0.001) Loss 1.3409 (1.4813) Prec@1 71.875 (65.868) Prec@5 88.281 (85.315) Epoch: [61][5420/10010] Time 0.315 (0.327) Data 0.001 (0.001) Loss 1.4229 (1.4812) Prec@1 61.719 (65.868) Prec@5 88.281 (85.316) Epoch: [61][5430/10010] Time 0.318 (0.327) Data 0.000 (0.001) Loss 1.4605 (1.4812) Prec@1 65.625 (65.869) Prec@5 84.375 (85.315) Epoch: [61][5440/10010] Time 0.313 (0.327) Data 0.001 (0.001) Loss 1.2418 (1.4812) Prec@1 66.406 (65.867) Prec@5 89.062 (85.315) Epoch: [61][5450/10010] Time 0.332 (0.327) Data 0.001 (0.001) Loss 1.7745 (1.4810) Prec@1 61.719 (65.871) Prec@5 82.031 (85.317) Epoch: [61][5460/10010] Time 0.322 (0.327) Data 0.001 (0.001) Loss 1.7488 (1.4811) Prec@1 64.062 (65.869) Prec@5 83.594 (85.317) Epoch: [61][5470/10010] Time 0.325 (0.327) Data 0.000 (0.001) Loss 1.3305 (1.4810) Prec@1 71.094 (65.874) Prec@5 89.062 (85.319) Epoch: [61][5480/10010] Time 0.336 (0.327) Data 0.001 (0.001) Loss 1.6178 (1.4809) Prec@1 64.062 (65.874) Prec@5 82.031 (85.318) Epoch: [61][5490/10010] Time 0.334 (0.327) Data 0.001 (0.001) Loss 1.3965 (1.4808) Prec@1 72.656 (65.875) Prec@5 85.156 (85.318) Epoch: [61][5500/10010] Time 0.318 (0.327) Data 0.001 (0.001) Loss 1.7065 (1.4807) Prec@1 65.625 (65.878) Prec@5 79.688 (85.319) Epoch: [61][5510/10010] Time 0.322 (0.327) Data 0.001 (0.001) Loss 1.5102 (1.4808) Prec@1 64.844 (65.877) Prec@5 84.375 (85.317) Epoch: [61][5520/10010] Time 0.312 (0.327) Data 0.001 (0.001) Loss 1.4677 (1.4808) Prec@1 66.406 (65.875) Prec@5 87.500 (85.319) Epoch: [61][5530/10010] Time 0.325 (0.327) Data 0.001 (0.001) Loss 1.6130 (1.4807) Prec@1 65.625 (65.878) Prec@5 84.375 (85.320) Epoch: [61][5540/10010] Time 0.324 (0.327) Data 0.000 (0.001) Loss 1.5527 (1.4808) Prec@1 67.969 (65.878) Prec@5 85.938 (85.319) Epoch: [61][5550/10010] Time 0.331 (0.327) Data 0.001 (0.001) Loss 1.2454 (1.4806) Prec@1 67.188 (65.882) Prec@5 89.062 (85.323) Epoch: [61][5560/10010] Time 0.338 (0.327) Data 0.001 (0.001) Loss 1.6207 (1.4805) Prec@1 61.719 (65.882) Prec@5 82.812 (85.323) Epoch: [61][5570/10010] Time 0.316 (0.327) Data 0.001 (0.001) Loss 1.1890 (1.4803) Prec@1 73.438 (65.883) Prec@5 87.500 (85.326) Epoch: [61][5580/10010] Time 0.321 (0.327) Data 0.000 (0.001) Loss 1.4119 (1.4802) Prec@1 64.062 (65.887) Prec@5 89.062 (85.328) Epoch: [61][5590/10010] Time 0.340 (0.327) Data 0.001 (0.001) Loss 1.5702 (1.4802) Prec@1 67.188 (65.886) Prec@5 82.812 (85.329) Epoch: [61][5600/10010] Time 0.326 (0.327) Data 0.001 (0.001) Loss 1.3503 (1.4802) Prec@1 71.875 (65.886) Prec@5 83.594 (85.330) Epoch: [61][5610/10010] Time 0.330 (0.327) Data 0.001 (0.001) Loss 1.7366 (1.4802) Prec@1 62.500 (65.886) Prec@5 80.469 (85.330) Epoch: [61][5620/10010] Time 0.330 (0.327) Data 0.001 (0.001) Loss 1.3233 (1.4802) Prec@1 69.531 (65.888) Prec@5 86.719 (85.327) Epoch: [61][5630/10010] Time 0.323 (0.327) Data 0.001 (0.001) Loss 1.3588 (1.4800) Prec@1 71.875 (65.890) Prec@5 89.062 (85.331) Epoch: [61][5640/10010] Time 0.330 (0.327) Data 0.001 (0.001) Loss 1.4802 (1.4801) Prec@1 61.719 (65.888) Prec@5 82.812 (85.330) Epoch: [61][5650/10010] Time 0.335 (0.327) Data 0.000 (0.001) Loss 1.4582 (1.4801) Prec@1 66.406 (65.886) Prec@5 85.156 (85.331) Epoch: [61][5660/10010] Time 0.327 (0.327) Data 0.001 (0.001) Loss 1.3997 (1.4801) Prec@1 64.062 (65.886) Prec@5 86.719 (85.329) Epoch: [61][5670/10010] Time 0.329 (0.327) Data 0.000 (0.001) Loss 1.5222 (1.4801) Prec@1 69.531 (65.886) Prec@5 83.594 (85.328) Epoch: [61][5680/10010] Time 0.314 (0.327) Data 0.000 (0.001) Loss 1.2981 (1.4801) Prec@1 70.312 (65.886) Prec@5 85.938 (85.330) Epoch: [61][5690/10010] Time 0.344 (0.327) Data 0.000 (0.001) Loss 1.3850 (1.4800) Prec@1 67.188 (65.887) Prec@5 85.938 (85.330) Epoch: [61][5700/10010] Time 0.318 (0.327) Data 0.001 (0.001) Loss 1.2781 (1.4801) Prec@1 69.531 (65.885) Prec@5 88.281 (85.327) Epoch: [61][5710/10010] Time 0.334 (0.327) Data 0.000 (0.001) Loss 1.2254 (1.4800) Prec@1 67.969 (65.885) Prec@5 90.625 (85.328) /data/vision/torralba/deepscene/lib/anaconda2/lib/python2.7/site-packages/PIL/TiffImagePlugin.py:692: UserWarning: Possibly corrupt EXIF data. Expecting to read 2555904 bytes but only got 0. Skipping tag 0 "Skipping tag %s" % (size, len(data), tag)) Epoch: [61][5720/10010] Time 0.323 (0.327) Data 0.001 (0.001) Loss 1.5313 (1.4801) Prec@1 64.062 (65.881) Prec@5 82.031 (85.326) Epoch: [61][5730/10010] Time 0.336 (0.327) Data 0.000 (0.001) Loss 1.6365 (1.4801) Prec@1 61.719 (65.881) Prec@5 80.469 (85.327) Epoch: [61][5740/10010] Time 0.338 (0.327) Data 0.001 (0.001) Loss 1.4679 (1.4801) Prec@1 66.406 (65.880) Prec@5 85.938 (85.326) Epoch: [61][5750/10010] Time 0.322 (0.327) Data 0.001 (0.001) Loss 1.7190 (1.4803) Prec@1 64.062 (65.876) Prec@5 82.812 (85.324) Epoch: [61][5760/10010] Time 0.332 (0.327) Data 0.000 (0.001) Loss 1.6648 (1.4803) Prec@1 60.156 (65.877) Prec@5 83.594 (85.324) Epoch: [61][5770/10010] Time 0.312 (0.327) Data 0.001 (0.001) Loss 1.4961 (1.4803) Prec@1 64.844 (65.877) Prec@5 84.375 (85.325) Epoch: [61][5780/10010] Time 0.316 (0.327) Data 0.000 (0.001) Loss 1.9458 (1.4804) Prec@1 58.594 (65.875) Prec@5 76.562 (85.323) Epoch: [61][5790/10010] Time 0.338 (0.327) Data 0.001 (0.001) Loss 1.5351 (1.4806) Prec@1 63.281 (65.870) Prec@5 83.594 (85.320) Epoch: [61][5800/10010] Time 0.342 (0.327) Data 0.000 (0.001) Loss 1.7354 (1.4806) Prec@1 60.156 (65.872) Prec@5 77.344 (85.318) Epoch: [61][5810/10010] Time 0.315 (0.327) Data 0.001 (0.001) Loss 1.2061 (1.4804) Prec@1 70.312 (65.873) Prec@5 89.844 (85.321) Epoch: [61][5820/10010] Time 0.323 (0.327) Data 0.001 (0.001) Loss 1.5718 (1.4805) Prec@1 67.969 (65.872) Prec@5 82.812 (85.320) Epoch: [61][5830/10010] Time 0.339 (0.327) Data 0.001 (0.001) Loss 1.3914 (1.4805) Prec@1 69.531 (65.872) Prec@5 86.719 (85.320) Epoch: [61][5840/10010] Time 0.319 (0.327) Data 0.001 (0.001) Loss 1.5233 (1.4805) Prec@1 63.281 (65.870) Prec@5 83.594 (85.319) Epoch: [61][5850/10010] Time 0.319 (0.327) Data 0.001 (0.001) Loss 1.4783 (1.4807) Prec@1 65.625 (65.867) Prec@5 85.938 (85.318) Epoch: [61][5860/10010] Time 0.337 (0.327) Data 0.001 (0.001) Loss 1.5234 (1.4807) Prec@1 64.062 (65.867) Prec@5 83.594 (85.317) Epoch: [61][5870/10010] Time 0.320 (0.327) Data 0.001 (0.001) Loss 1.3275 (1.4808) Prec@1 72.656 (65.865) Prec@5 86.719 (85.316) Epoch: [61][5880/10010] Time 0.322 (0.327) Data 0.000 (0.001) Loss 1.4882 (1.4808) Prec@1 64.844 (65.864) Prec@5 85.938 (85.315) Epoch: [61][5890/10010] Time 0.325 (0.327) Data 0.000 (0.001) Loss 1.3449 (1.4808) Prec@1 67.188 (65.863) Prec@5 89.062 (85.316) Epoch: [61][5900/10010] Time 0.320 (0.327) Data 0.000 (0.001) Loss 1.5430 (1.4808) Prec@1 64.062 (65.862) Prec@5 83.594 (85.316) Epoch: [61][5910/10010] Time 0.328 (0.327) Data 0.001 (0.001) Loss 1.5966 (1.4808) Prec@1 62.500 (65.860) Prec@5 82.812 (85.316) Epoch: [61][5920/10010] Time 0.316 (0.327) Data 0.001 (0.001) Loss 1.6022 (1.4809) Prec@1 59.375 (65.857) Prec@5 85.156 (85.314) Epoch: [61][5930/10010] Time 0.318 (0.327) Data 0.000 (0.001) Loss 1.4047 (1.4809) Prec@1 67.188 (65.856) Prec@5 87.500 (85.315) Epoch: [61][5940/10010] Time 0.334 (0.327) Data 0.001 (0.001) Loss 1.4018 (1.4810) Prec@1 66.406 (65.856) Prec@5 85.938 (85.314) Epoch: [61][5950/10010] Time 0.317 (0.327) Data 0.001 (0.001) Loss 1.5304 (1.4810) Prec@1 60.156 (65.854) Prec@5 83.594 (85.312) Epoch: [61][5960/10010] Time 0.316 (0.327) Data 0.001 (0.001) Loss 1.7744 (1.4812) Prec@1 61.719 (65.851) Prec@5 79.688 (85.309) Epoch: [61][5970/10010] Time 0.338 (0.327) Data 0.001 (0.001) Loss 1.6213 (1.4812) Prec@1 66.406 (65.851) Prec@5 82.031 (85.307) Epoch: [61][5980/10010] Time 0.332 (0.327) Data 0.000 (0.001) Loss 1.5151 (1.4813) Prec@1 66.406 (65.849) Prec@5 85.938 (85.305) Epoch: [61][5990/10010] Time 0.334 (0.327) Data 0.000 (0.001) Loss 1.5556 (1.4814) Prec@1 62.500 (65.849) Prec@5 85.156 (85.306) Epoch: [61][6000/10010] Time 0.329 (0.327) Data 0.000 (0.001) Loss 1.5041 (1.4814) Prec@1 65.625 (65.847) Prec@5 88.281 (85.305) Epoch: [61][6010/10010] Time 0.317 (0.327) Data 0.001 (0.001) Loss 1.4811 (1.4814) Prec@1 63.281 (65.850) Prec@5 84.375 (85.302) Epoch: [61][6020/10010] Time 0.315 (0.327) Data 0.001 (0.001) Loss 1.5290 (1.4813) Prec@1 64.844 (65.852) Prec@5 82.812 (85.306) Epoch: [61][6030/10010] Time 0.322 (0.327) Data 0.000 (0.001) Loss 1.5739 (1.4812) Prec@1 61.719 (65.852) Prec@5 82.812 (85.307) Epoch: [61][6040/10010] Time 0.319 (0.327) Data 0.001 (0.001) Loss 1.6466 (1.4811) Prec@1 67.969 (65.858) Prec@5 82.812 (85.307) Epoch: [61][6050/10010] Time 0.337 (0.327) Data 0.001 (0.001) Loss 1.5264 (1.4811) Prec@1 64.062 (65.859) Prec@5 82.031 (85.306) Epoch: [61][6060/10010] Time 0.325 (0.327) Data 0.000 (0.001) Loss 1.6426 (1.4812) Prec@1 60.938 (65.859) Prec@5 82.031 (85.303) Epoch: [61][6070/10010] Time 0.323 (0.327) Data 0.000 (0.001) Loss 1.6346 (1.4813) Prec@1 60.938 (65.855) Prec@5 85.938 (85.302) Epoch: [61][6080/10010] Time 0.326 (0.327) Data 0.001 (0.001) Loss 1.5539 (1.4813) Prec@1 64.844 (65.855) Prec@5 84.375 (85.303) Epoch: [61][6090/10010] Time 0.343 (0.327) Data 0.001 (0.001) Loss 1.6606 (1.4813) Prec@1 63.281 (65.855) Prec@5 79.688 (85.301) Epoch: [61][6100/10010] Time 0.332 (0.327) Data 0.001 (0.001) Loss 1.2865 (1.4813) Prec@1 68.750 (65.858) Prec@5 89.062 (85.301) Epoch: [61][6110/10010] Time 0.342 (0.327) Data 0.001 (0.001) Loss 1.2908 (1.4813) Prec@1 70.312 (65.860) Prec@5 86.719 (85.300) Epoch: [61][6120/10010] Time 0.336 (0.327) Data 0.000 (0.001) Loss 1.5449 (1.4814) Prec@1 60.938 (65.857) Prec@5 84.375 (85.300) Epoch: [61][6130/10010] Time 0.332 (0.327) Data 0.001 (0.001) Loss 1.2671 (1.4813) Prec@1 67.969 (65.860) Prec@5 89.062 (85.302) Epoch: [61][6140/10010] Time 0.323 (0.327) Data 0.001 (0.001) Loss 1.5767 (1.4813) Prec@1 67.188 (65.859) Prec@5 82.812 (85.300) Epoch: [61][6150/10010] Time 0.323 (0.327) Data 0.001 (0.001) Loss 1.4982 (1.4812) Prec@1 64.062 (65.862) Prec@5 82.031 (85.301) Epoch: [61][6160/10010] Time 0.325 (0.327) Data 0.000 (0.001) Loss 1.4566 (1.4812) Prec@1 68.750 (65.860) Prec@5 88.281 (85.301) Epoch: [61][6170/10010] Time 0.336 (0.327) Data 0.001 (0.001) Loss 1.5372 (1.4814) Prec@1 66.406 (65.857) Prec@5 85.156 (85.299) Epoch: [61][6180/10010] Time 0.329 (0.327) Data 0.001 (0.001) Loss 1.4471 (1.4814) Prec@1 69.531 (65.859) Prec@5 88.281 (85.301) Epoch: [61][6190/10010] Time 0.313 (0.327) Data 0.001 (0.001) Loss 1.4579 (1.4813) Prec@1 65.625 (65.860) Prec@5 86.719 (85.301) Epoch: [61][6200/10010] Time 0.311 (0.327) Data 0.001 (0.001) Loss 1.2781 (1.4814) Prec@1 66.406 (65.857) Prec@5 89.844 (85.299) Epoch: [61][6210/10010] Time 0.346 (0.327) Data 0.000 (0.001) Loss 1.4975 (1.4814) Prec@1 63.281 (65.855) Prec@5 85.938 (85.300) Epoch: [61][6220/10010] Time 0.320 (0.327) Data 0.000 (0.001) Loss 1.5781 (1.4814) Prec@1 64.844 (65.855) Prec@5 79.688 (85.300) Epoch: [61][6230/10010] Time 0.318 (0.327) Data 0.001 (0.001) Loss 1.4650 (1.4814) Prec@1 65.625 (65.857) Prec@5 86.719 (85.300) Epoch: [61][6240/10010] Time 0.318 (0.327) Data 0.001 (0.001) Loss 1.4044 (1.4814) Prec@1 65.625 (65.856) Prec@5 85.156 (85.297) Epoch: [61][6250/10010] Time 0.320 (0.327) Data 0.001 (0.001) Loss 1.4675 (1.4815) Prec@1 63.281 (65.856) Prec@5 85.938 (85.297) Epoch: [61][6260/10010] Time 0.316 (0.327) Data 0.001 (0.001) Loss 1.4101 (1.4814) Prec@1 67.188 (65.857) Prec@5 84.375 (85.297) Epoch: [61][6270/10010] Time 0.326 (0.327) Data 0.000 (0.001) Loss 1.4697 (1.4816) Prec@1 69.531 (65.854) Prec@5 85.938 (85.295) Epoch: [61][6280/10010] Time 0.323 (0.327) Data 0.001 (0.001) Loss 1.5612 (1.4814) Prec@1 68.750 (65.859) Prec@5 84.375 (85.296) Epoch: [61][6290/10010] Time 0.318 (0.327) Data 0.000 (0.001) Loss 1.7235 (1.4815) Prec@1 60.156 (65.859) Prec@5 82.031 (85.294) Epoch: [61][6300/10010] Time 0.340 (0.327) Data 0.001 (0.001) Loss 1.5600 (1.4816) Prec@1 67.969 (65.860) Prec@5 84.375 (85.293) Epoch: [61][6310/10010] Time 0.330 (0.327) Data 0.001 (0.001) Loss 1.9994 (1.4816) Prec@1 55.469 (65.858) Prec@5 76.562 (85.292) Epoch: [61][6320/10010] Time 0.321 (0.327) Data 0.001 (0.001) Loss 1.5459 (1.4816) Prec@1 67.969 (65.859) Prec@5 82.031 (85.292) Epoch: [61][6330/10010] Time 0.311 (0.327) Data 0.001 (0.001) Loss 1.6255 (1.4816) Prec@1 61.719 (65.862) Prec@5 83.594 (85.294) Epoch: [61][6340/10010] Time 0.336 (0.327) Data 0.001 (0.001) Loss 1.6009 (1.4817) Prec@1 65.625 (65.862) Prec@5 88.281 (85.293) Epoch: [61][6350/10010] Time 0.342 (0.327) Data 0.001 (0.001) Loss 1.6340 (1.4816) Prec@1 64.062 (65.862) Prec@5 83.594 (85.294) Epoch: [61][6360/10010] Time 0.323 (0.327) Data 0.001 (0.001) Loss 1.5279 (1.4817) Prec@1 66.406 (65.860) Prec@5 85.156 (85.293) Epoch: [61][6370/10010] Time 0.340 (0.327) Data 0.001 (0.001) Loss 1.3708 (1.4817) Prec@1 67.188 (65.860) Prec@5 85.938 (85.295) Epoch: [61][6380/10010] Time 0.320 (0.327) Data 0.001 (0.001) Loss 1.6071 (1.4819) Prec@1 61.719 (65.859) Prec@5 84.375 (85.292) Epoch: [61][6390/10010] Time 0.317 (0.327) Data 0.001 (0.001) Loss 1.3169 (1.4820) Prec@1 64.844 (65.856) Prec@5 85.938 (85.290) Epoch: [61][6400/10010] Time 0.335 (0.327) Data 0.001 (0.001) Loss 1.4114 (1.4819) Prec@1 64.844 (65.859) Prec@5 82.812 (85.290) Epoch: [61][6410/10010] Time 0.335 (0.327) Data 0.001 (0.001) Loss 1.8598 (1.4819) Prec@1 59.375 (65.856) Prec@5 78.906 (85.292) Epoch: [61][6420/10010] Time 0.313 (0.327) Data 0.001 (0.001) Loss 1.5964 (1.4819) Prec@1 67.188 (65.857) Prec@5 82.031 (85.293) Epoch: [61][6430/10010] Time 0.324 (0.327) Data 0.000 (0.001) Loss 1.2976 (1.4819) Prec@1 70.312 (65.856) Prec@5 89.062 (85.292) Epoch: [61][6440/10010] Time 0.340 (0.327) Data 0.001 (0.001) Loss 1.3402 (1.4820) Prec@1 66.406 (65.852) Prec@5 85.156 (85.292) Epoch: [61][6450/10010] Time 0.348 (0.327) Data 0.001 (0.001) Loss 1.4057 (1.4821) Prec@1 65.625 (65.850) Prec@5 85.938 (85.287) Epoch: [61][6460/10010] Time 0.340 (0.327) Data 0.000 (0.001) Loss 1.5963 (1.4820) Prec@1 64.062 (65.852) Prec@5 83.594 (85.290) Epoch: [61][6470/10010] Time 0.341 (0.327) Data 0.001 (0.001) Loss 1.9118 (1.4822) Prec@1 53.125 (65.847) Prec@5 77.344 (85.288) Epoch: [61][6480/10010] Time 0.324 (0.327) Data 0.001 (0.001) Loss 1.5769 (1.4821) Prec@1 63.281 (65.845) Prec@5 85.156 (85.287) Epoch: [61][6490/10010] Time 0.332 (0.327) Data 0.001 (0.001) Loss 1.6177 (1.4821) Prec@1 60.938 (65.845) Prec@5 82.812 (85.290) Epoch: [61][6500/10010] Time 0.315 (0.327) Data 0.001 (0.001) Loss 1.7778 (1.4821) Prec@1 60.938 (65.846) Prec@5 78.125 (85.291) Epoch: [61][6510/10010] Time 0.316 (0.327) Data 0.001 (0.001) Loss 1.4536 (1.4822) Prec@1 64.844 (65.847) Prec@5 85.938 (85.291) Epoch: [61][6520/10010] Time 0.330 (0.327) Data 0.001 (0.001) Loss 1.4507 (1.4821) Prec@1 65.625 (65.848) Prec@5 84.375 (85.290) Epoch: [61][6530/10010] Time 0.329 (0.327) Data 0.000 (0.001) Loss 1.2211 (1.4820) Prec@1 68.750 (65.851) Prec@5 87.500 (85.292) Epoch: [61][6540/10010] Time 0.336 (0.327) Data 0.001 (0.001) Loss 1.3623 (1.4820) Prec@1 69.531 (65.854) Prec@5 89.062 (85.292) Epoch: [61][6550/10010] Time 0.322 (0.327) Data 0.000 (0.001) Loss 1.4951 (1.4820) Prec@1 65.625 (65.855) Prec@5 83.594 (85.292) Epoch: [61][6560/10010] Time 0.313 (0.327) Data 0.000 (0.001) Loss 1.7675 (1.4822) Prec@1 64.844 (65.853) Prec@5 81.250 (85.289) Epoch: [61][6570/10010] Time 0.337 (0.327) Data 0.001 (0.001) Loss 1.4694 (1.4822) Prec@1 63.281 (65.854) Prec@5 85.156 (85.288) Epoch: [61][6580/10010] Time 0.331 (0.327) Data 0.001 (0.001) Loss 1.6903 (1.4822) Prec@1 63.281 (65.855) Prec@5 83.594 (85.289) Epoch: [61][6590/10010] Time 0.322 (0.327) Data 0.000 (0.001) Loss 1.3106 (1.4822) Prec@1 72.656 (65.855) Prec@5 89.844 (85.289) Epoch: [61][6600/10010] Time 0.343 (0.327) Data 0.000 (0.001) Loss 1.2510 (1.4822) Prec@1 74.219 (65.856) Prec@5 89.062 (85.289) Epoch: [61][6610/10010] Time 0.340 (0.327) Data 0.001 (0.001) Loss 1.4620 (1.4822) Prec@1 70.312 (65.855) Prec@5 85.938 (85.289) Epoch: [61][6620/10010] Time 0.335 (0.327) Data 0.001 (0.001) Loss 1.3441 (1.4823) Prec@1 71.094 (65.854) Prec@5 85.156 (85.288) Epoch: [61][6630/10010] Time 0.338 (0.327) Data 0.001 (0.001) Loss 1.5668 (1.4823) Prec@1 68.750 (65.855) Prec@5 82.812 (85.289) Epoch: [61][6640/10010] Time 0.332 (0.327) Data 0.001 (0.001) Loss 1.4038 (1.4822) Prec@1 64.844 (65.857) Prec@5 88.281 (85.290) Epoch: [61][6650/10010] Time 0.309 (0.327) Data 0.001 (0.001) Loss 1.6798 (1.4824) Prec@1 64.844 (65.855) Prec@5 82.031 (85.288) Epoch: [61][6660/10010] Time 0.335 (0.327) Data 0.001 (0.001) Loss 1.4225 (1.4823) Prec@1 64.844 (65.855) Prec@5 85.938 (85.287) Epoch: [61][6670/10010] Time 0.319 (0.327) Data 0.000 (0.001) Loss 1.4000 (1.4823) Prec@1 67.969 (65.854) Prec@5 86.719 (85.288) Epoch: [61][6680/10010] Time 0.310 (0.327) Data 0.001 (0.001) Loss 1.3559 (1.4823) Prec@1 59.375 (65.851) Prec@5 89.062 (85.289) Epoch: [61][6690/10010] Time 0.324 (0.327) Data 0.001 (0.001) Loss 1.4115 (1.4822) Prec@1 64.844 (65.853) Prec@5 85.938 (85.291) Epoch: [61][6700/10010] Time 0.342 (0.327) Data 0.001 (0.001) Loss 1.3004 (1.4821) Prec@1 69.531 (65.855) Prec@5 87.500 (85.291) Epoch: [61][6710/10010] Time 0.328 (0.327) Data 0.000 (0.001) Loss 1.2238 (1.4822) Prec@1 70.312 (65.852) Prec@5 86.719 (85.290) Epoch: [61][6720/10010] Time 0.315 (0.327) Data 0.001 (0.001) Loss 1.3425 (1.4821) Prec@1 67.969 (65.855) Prec@5 89.062 (85.293) Epoch: [61][6730/10010] Time 0.311 (0.327) Data 0.001 (0.001) Loss 1.4726 (1.4821) Prec@1 67.188 (65.855) Prec@5 87.500 (85.295) Epoch: [61][6740/10010] Time 0.321 (0.327) Data 0.001 (0.001) Loss 1.4451 (1.4821) Prec@1 59.375 (65.853) Prec@5 85.938 (85.295) Epoch: [61][6750/10010] Time 0.320 (0.327) Data 0.001 (0.001) Loss 1.5541 (1.4821) Prec@1 63.281 (65.854) Prec@5 82.812 (85.293) Epoch: [61][6760/10010] Time 0.331 (0.327) Data 0.001 (0.001) Loss 1.2954 (1.4820) Prec@1 71.094 (65.854) Prec@5 88.281 (85.295) Epoch: [61][6770/10010] Time 0.331 (0.327) Data 0.001 (0.001) Loss 1.2760 (1.4820) Prec@1 69.531 (65.852) Prec@5 86.719 (85.293) Epoch: [61][6780/10010] Time 0.315 (0.327) Data 0.001 (0.001) Loss 1.6465 (1.4820) Prec@1 61.719 (65.852) Prec@5 82.031 (85.295) Epoch: [61][6790/10010] Time 0.321 (0.327) Data 0.001 (0.001) Loss 1.4128 (1.4820) Prec@1 67.188 (65.853) Prec@5 85.156 (85.296) Epoch: [61][6800/10010] Time 0.338 (0.327) Data 0.001 (0.001) Loss 1.6764 (1.4820) Prec@1 60.156 (65.851) Prec@5 81.250 (85.296) Epoch: [61][6810/10010] Time 0.332 (0.327) Data 0.001 (0.001) Loss 1.7438 (1.4820) Prec@1 60.156 (65.852) Prec@5 85.156 (85.295) Epoch: [61][6820/10010] Time 0.328 (0.327) Data 0.000 (0.001) Loss 1.7678 (1.4819) Prec@1 62.500 (65.852) Prec@5 83.594 (85.296) Epoch: [61][6830/10010] Time 0.336 (0.327) Data 0.001 (0.001) Loss 1.6527 (1.4820) Prec@1 64.062 (65.852) Prec@5 79.688 (85.294) Epoch: [61][6840/10010] Time 0.317 (0.327) Data 0.001 (0.001) Loss 1.3764 (1.4818) Prec@1 67.969 (65.855) Prec@5 89.062 (85.297) Epoch: [61][6850/10010] Time 0.329 (0.327) Data 0.000 (0.001) Loss 1.4834 (1.4817) Prec@1 69.531 (65.858) Prec@5 85.938 (85.296) Epoch: [61][6860/10010] Time 0.319 (0.327) Data 0.000 (0.001) Loss 1.7702 (1.4817) Prec@1 59.375 (65.857) Prec@5 82.812 (85.297) Epoch: [61][6870/10010] Time 0.324 (0.327) Data 0.001 (0.001) Loss 1.5266 (1.4816) Prec@1 66.406 (65.860) Prec@5 84.375 (85.301) Epoch: [61][6880/10010] Time 0.334 (0.327) Data 0.001 (0.001) Loss 1.7182 (1.4816) Prec@1 63.281 (65.862) Prec@5 81.250 (85.301) Epoch: [61][6890/10010] Time 0.339 (0.327) Data 0.001 (0.001) Loss 1.4711 (1.4814) Prec@1 64.062 (65.864) Prec@5 85.156 (85.301) Epoch: [61][6900/10010] Time 0.334 (0.327) Data 0.000 (0.001) Loss 1.5802 (1.4815) Prec@1 59.375 (65.860) Prec@5 88.281 (85.300) Epoch: [61][6910/10010] Time 0.313 (0.327) Data 0.001 (0.001) Loss 1.3759 (1.4815) Prec@1 68.750 (65.861) Prec@5 89.062 (85.300) Epoch: [61][6920/10010] Time 0.338 (0.327) Data 0.001 (0.001) Loss 1.3618 (1.4814) Prec@1 67.188 (65.863) Prec@5 88.281 (85.301) Epoch: [61][6930/10010] Time 0.315 (0.327) Data 0.001 (0.001) Loss 1.4062 (1.4813) Prec@1 67.188 (65.866) Prec@5 85.156 (85.302) Epoch: [61][6940/10010] Time 0.315 (0.327) Data 0.001 (0.001) Loss 1.4855 (1.4813) Prec@1 64.844 (65.865) Prec@5 82.031 (85.302) Epoch: [61][6950/10010] Time 0.332 (0.327) Data 0.001 (0.001) Loss 1.2892 (1.4812) Prec@1 71.875 (65.869) Prec@5 86.719 (85.302) Epoch: [61][6960/10010] Time 0.332 (0.327) Data 0.000 (0.001) Loss 1.3136 (1.4812) Prec@1 71.875 (65.870) Prec@5 89.844 (85.300) Epoch: [61][6970/10010] Time 0.319 (0.327) Data 0.000 (0.001) Loss 1.4071 (1.4811) Prec@1 64.844 (65.870) Prec@5 85.938 (85.302) Epoch: [61][6980/10010] Time 0.333 (0.327) Data 0.001 (0.001) Loss 1.5322 (1.4812) Prec@1 63.281 (65.869) Prec@5 87.500 (85.303) Epoch: [61][6990/10010] Time 0.316 (0.327) Data 0.000 (0.001) Loss 1.4465 (1.4811) Prec@1 64.062 (65.870) Prec@5 84.375 (85.303) Epoch: [61][7000/10010] Time 0.314 (0.327) Data 0.001 (0.001) Loss 1.5081 (1.4812) Prec@1 66.406 (65.869) Prec@5 87.500 (85.302) Epoch: [61][7010/10010] Time 0.341 (0.327) Data 0.001 (0.001) Loss 1.2222 (1.4812) Prec@1 71.094 (65.869) Prec@5 87.500 (85.302) Epoch: [61][7020/10010] Time 0.337 (0.327) Data 0.001 (0.001) Loss 1.3339 (1.4812) Prec@1 68.750 (65.870) Prec@5 86.719 (85.301) Epoch: [61][7030/10010] Time 0.316 (0.327) Data 0.001 (0.001) Loss 1.8161 (1.4812) Prec@1 58.594 (65.870) Prec@5 81.250 (85.301) Epoch: [61][7040/10010] Time 0.335 (0.327) Data 0.001 (0.001) Loss 1.2944 (1.4811) Prec@1 70.312 (65.871) Prec@5 86.719 (85.304) Epoch: [61][7050/10010] Time 0.318 (0.327) Data 0.001 (0.001) Loss 1.4383 (1.4811) Prec@1 64.844 (65.871) Prec@5 84.375 (85.303) Epoch: [61][7060/10010] Time 0.323 (0.327) Data 0.001 (0.001) Loss 1.4530 (1.4812) Prec@1 64.844 (65.869) Prec@5 88.281 (85.302) Epoch: [61][7070/10010] Time 0.332 (0.327) Data 0.001 (0.001) Loss 1.2986 (1.4812) Prec@1 68.750 (65.869) Prec@5 89.062 (85.303) Epoch: [61][7080/10010] Time 0.327 (0.327) Data 0.001 (0.001) Loss 1.5022 (1.4813) Prec@1 66.406 (65.868) Prec@5 83.594 (85.301) Epoch: [61][7090/10010] Time 0.321 (0.327) Data 0.001 (0.001) Loss 1.4254 (1.4812) Prec@1 64.062 (65.870) Prec@5 85.938 (85.301) Epoch: [61][7100/10010] Time 0.322 (0.327) Data 0.001 (0.001) Loss 1.3558 (1.4812) Prec@1 66.406 (65.870) Prec@5 86.719 (85.302) Epoch: [61][7110/10010] Time 0.314 (0.327) Data 0.000 (0.001) Loss 1.7048 (1.4811) Prec@1 62.500 (65.873) Prec@5 80.469 (85.303) Epoch: [61][7120/10010] Time 0.321 (0.327) Data 0.001 (0.001) Loss 1.6843 (1.4811) Prec@1 64.844 (65.873) Prec@5 80.469 (85.304) Epoch: [61][7130/10010] Time 0.335 (0.327) Data 0.001 (0.001) Loss 1.5300 (1.4810) Prec@1 68.750 (65.873) Prec@5 86.719 (85.306) Epoch: [61][7140/10010] Time 0.331 (0.327) Data 0.000 (0.001) Loss 1.5061 (1.4810) Prec@1 66.406 (65.873) Prec@5 82.031 (85.305) Epoch: [61][7150/10010] Time 0.335 (0.327) Data 0.000 (0.001) Loss 1.6233 (1.4811) Prec@1 58.594 (65.873) Prec@5 82.812 (85.303) Epoch: [61][7160/10010] Time 0.320 (0.327) Data 0.000 (0.001) Loss 1.5267 (1.4810) Prec@1 67.188 (65.875) Prec@5 81.250 (85.306) Epoch: [61][7170/10010] Time 0.338 (0.327) Data 0.000 (0.001) Loss 1.6127 (1.4809) Prec@1 60.156 (65.877) Prec@5 85.156 (85.307) Epoch: [61][7180/10010] Time 0.329 (0.327) Data 0.001 (0.001) Loss 1.4465 (1.4809) Prec@1 67.188 (65.878) Prec@5 84.375 (85.307) Epoch: [61][7190/10010] Time 0.314 (0.327) Data 0.001 (0.001) Loss 1.5129 (1.4809) Prec@1 65.625 (65.879) Prec@5 85.156 (85.306) Epoch: [61][7200/10010] Time 0.323 (0.327) Data 0.001 (0.001) Loss 1.5321 (1.4807) Prec@1 63.281 (65.882) Prec@5 86.719 (85.308) Epoch: [61][7210/10010] Time 0.316 (0.327) Data 0.000 (0.001) Loss 1.8165 (1.4808) Prec@1 62.500 (65.880) Prec@5 79.688 (85.306) Epoch: [61][7220/10010] Time 0.322 (0.327) Data 0.000 (0.001) Loss 1.5162 (1.4810) Prec@1 64.844 (65.879) Prec@5 85.938 (85.305) Epoch: [61][7230/10010] Time 0.333 (0.327) Data 0.000 (0.001) Loss 1.0782 (1.4808) Prec@1 73.438 (65.880) Prec@5 90.625 (85.306) Epoch: [61][7240/10010] Time 0.311 (0.327) Data 0.001 (0.001) Loss 1.4634 (1.4808) Prec@1 66.406 (65.880) Prec@5 87.500 (85.307) Epoch: [61][7250/10010] Time 0.329 (0.327) Data 0.000 (0.001) Loss 1.3342 (1.4807) Prec@1 66.406 (65.885) Prec@5 90.625 (85.308) Epoch: [61][7260/10010] Time 0.319 (0.327) Data 0.001 (0.001) Loss 1.6583 (1.4807) Prec@1 62.500 (65.886) Prec@5 82.031 (85.307) Epoch: [61][7270/10010] Time 0.329 (0.327) Data 0.001 (0.001) Loss 1.6686 (1.4809) Prec@1 64.062 (65.883) Prec@5 79.688 (85.304) Epoch: [61][7280/10010] Time 0.337 (0.327) Data 0.001 (0.001) Loss 1.2535 (1.4808) Prec@1 71.875 (65.884) Prec@5 88.281 (85.304) Epoch: [61][7290/10010] Time 0.314 (0.327) Data 0.001 (0.001) Loss 1.7223 (1.4808) Prec@1 60.156 (65.885) Prec@5 85.938 (85.305) Epoch: [61][7300/10010] Time 0.330 (0.327) Data 0.000 (0.001) Loss 1.1944 (1.4807) Prec@1 68.750 (65.886) Prec@5 90.625 (85.305) Epoch: [61][7310/10010] Time 0.327 (0.327) Data 0.001 (0.001) Loss 1.4315 (1.4806) Prec@1 66.406 (65.887) Prec@5 82.812 (85.305) Epoch: [61][7320/10010] Time 0.338 (0.327) Data 0.001 (0.001) Loss 1.4586 (1.4807) Prec@1 64.062 (65.887) Prec@5 84.375 (85.302) Epoch: [61][7330/10010] Time 0.322 (0.327) Data 0.001 (0.001) Loss 1.4817 (1.4807) Prec@1 62.500 (65.887) Prec@5 83.594 (85.302) Epoch: [61][7340/10010] Time 0.335 (0.327) Data 0.000 (0.001) Loss 1.5091 (1.4808) Prec@1 67.188 (65.884) Prec@5 82.031 (85.301) Epoch: [61][7350/10010] Time 0.336 (0.327) Data 0.001 (0.001) Loss 1.6817 (1.4808) Prec@1 67.969 (65.885) Prec@5 80.469 (85.299) Epoch: [61][7360/10010] Time 0.316 (0.327) Data 0.000 (0.001) Loss 1.3443 (1.4806) Prec@1 69.531 (65.890) Prec@5 85.938 (85.302) Epoch: [61][7370/10010] Time 0.323 (0.327) Data 0.001 (0.001) Loss 1.5124 (1.4807) Prec@1 66.406 (65.888) Prec@5 87.500 (85.301) Epoch: [61][7380/10010] Time 0.321 (0.327) Data 0.000 (0.001) Loss 1.4639 (1.4806) Prec@1 64.062 (65.888) Prec@5 84.375 (85.302) Epoch: [61][7390/10010] Time 0.319 (0.327) Data 0.001 (0.001) Loss 1.5364 (1.4806) Prec@1 67.188 (65.889) Prec@5 82.812 (85.303) Epoch: [61][7400/10010] Time 0.336 (0.327) Data 0.001 (0.001) Loss 1.4752 (1.4806) Prec@1 64.844 (65.889) Prec@5 81.250 (85.304) Epoch: [61][7410/10010] Time 0.310 (0.327) Data 0.000 (0.001) Loss 1.5267 (1.4804) Prec@1 63.281 (65.891) Prec@5 87.500 (85.306) Epoch: [61][7420/10010] Time 0.335 (0.327) Data 0.001 (0.001) Loss 1.3022 (1.4804) Prec@1 71.875 (65.891) Prec@5 87.500 (85.306) Epoch: [61][7430/10010] Time 0.321 (0.327) Data 0.001 (0.001) Loss 1.1864 (1.4804) Prec@1 70.312 (65.890) Prec@5 89.844 (85.308) Epoch: [61][7440/10010] Time 0.316 (0.327) Data 0.001 (0.001) Loss 1.2061 (1.4803) Prec@1 67.969 (65.889) Prec@5 89.062 (85.307) Epoch: [61][7450/10010] Time 0.320 (0.327) Data 0.001 (0.001) Loss 1.7296 (1.4803) Prec@1 64.062 (65.889) Prec@5 81.250 (85.307) Epoch: [61][7460/10010] Time 0.334 (0.327) Data 0.001 (0.001) Loss 1.3483 (1.4803) Prec@1 70.312 (65.890) Prec@5 86.719 (85.308) Epoch: [61][7470/10010] Time 0.312 (0.327) Data 0.000 (0.001) Loss 1.5504 (1.4803) Prec@1 61.719 (65.888) Prec@5 86.719 (85.309) Epoch: [61][7480/10010] Time 0.315 (0.327) Data 0.004 (0.001) Loss 1.2889 (1.4801) Prec@1 66.406 (65.892) Prec@5 89.062 (85.312) Epoch: [61][7490/10010] Time 0.336 (0.327) Data 0.000 (0.001) Loss 1.2739 (1.4801) Prec@1 66.406 (65.893) Prec@5 88.281 (85.312) Epoch: [61][7500/10010] Time 0.318 (0.327) Data 0.001 (0.001) Loss 1.4661 (1.4801) Prec@1 65.625 (65.893) Prec@5 84.375 (85.311) Epoch: [61][7510/10010] Time 0.336 (0.327) Data 0.000 (0.001) Loss 1.2995 (1.4800) Prec@1 69.531 (65.894) Prec@5 88.281 (85.312) Epoch: [61][7520/10010] Time 0.339 (0.327) Data 0.001 (0.001) Loss 1.2823 (1.4801) Prec@1 68.750 (65.893) Prec@5 89.844 (85.312) Epoch: [61][7530/10010] Time 0.326 (0.327) Data 0.000 (0.001) Loss 1.5010 (1.4801) Prec@1 67.969 (65.892) Prec@5 88.281 (85.311) Epoch: [61][7540/10010] Time 0.326 (0.327) Data 0.000 (0.001) Loss 1.4997 (1.4801) Prec@1 66.406 (65.891) Prec@5 82.812 (85.310) Epoch: [61][7550/10010] Time 0.331 (0.327) Data 0.000 (0.001) Loss 1.3555 (1.4801) Prec@1 72.656 (65.893) Prec@5 86.719 (85.310) Epoch: [61][7560/10010] Time 0.317 (0.327) Data 0.001 (0.001) Loss 1.3123 (1.4802) Prec@1 72.656 (65.889) Prec@5 89.844 (85.309) Epoch: [61][7570/10010] Time 0.340 (0.327) Data 0.001 (0.001) Loss 1.3414 (1.4802) Prec@1 70.312 (65.890) Prec@5 90.625 (85.310) Epoch: [61][7580/10010] Time 0.315 (0.327) Data 0.001 (0.001) Loss 1.2050 (1.4800) Prec@1 70.312 (65.892) Prec@5 87.500 (85.311) Epoch: [61][7590/10010] Time 0.318 (0.327) Data 0.001 (0.001) Loss 1.2988 (1.4800) Prec@1 70.312 (65.896) Prec@5 87.500 (85.312) Epoch: [61][7600/10010] Time 0.326 (0.327) Data 0.001 (0.001) Loss 1.5140 (1.4800) Prec@1 67.969 (65.898) Prec@5 85.938 (85.312) Epoch: [61][7610/10010] Time 0.331 (0.327) Data 0.000 (0.001) Loss 1.3203 (1.4800) Prec@1 67.969 (65.896) Prec@5 86.719 (85.310) Epoch: [61][7620/10010] Time 0.325 (0.327) Data 0.000 (0.001) Loss 1.6447 (1.4799) Prec@1 61.719 (65.898) Prec@5 82.812 (85.312) Epoch: [61][7630/10010] Time 0.328 (0.327) Data 0.004 (0.001) Loss 1.1127 (1.4798) Prec@1 70.312 (65.900) Prec@5 91.406 (85.312) Epoch: [61][7640/10010] Time 0.323 (0.327) Data 0.001 (0.001) Loss 1.4452 (1.4798) Prec@1 63.281 (65.901) Prec@5 86.719 (85.313) Epoch: [61][7650/10010] Time 0.307 (0.327) Data 0.001 (0.001) Loss 1.6259 (1.4798) Prec@1 60.156 (65.902) Prec@5 85.156 (85.313) Epoch: [61][7660/10010] Time 0.317 (0.327) Data 0.001 (0.001) Loss 1.8194 (1.4798) Prec@1 64.062 (65.901) Prec@5 82.031 (85.311) Epoch: [61][7670/10010] Time 0.321 (0.327) Data 0.001 (0.001) Loss 1.4584 (1.4798) Prec@1 66.406 (65.902) Prec@5 85.938 (85.311) Epoch: [61][7680/10010] Time 0.332 (0.327) Data 0.000 (0.001) Loss 1.7580 (1.4799) Prec@1 64.844 (65.902) Prec@5 81.250 (85.311) Epoch: [61][7690/10010] Time 0.337 (0.327) Data 0.001 (0.001) Loss 1.4626 (1.4798) Prec@1 67.188 (65.902) Prec@5 87.500 (85.312) Epoch: [61][7700/10010] Time 0.323 (0.327) Data 0.000 (0.001) Loss 1.5009 (1.4797) Prec@1 66.406 (65.906) Prec@5 85.156 (85.314) Epoch: [61][7710/10010] Time 0.326 (0.327) Data 0.001 (0.001) Loss 1.4055 (1.4796) Prec@1 68.750 (65.906) Prec@5 83.594 (85.315) Epoch: [61][7720/10010] Time 0.336 (0.327) Data 0.001 (0.001) Loss 1.3490 (1.4795) Prec@1 67.969 (65.907) Prec@5 84.375 (85.315) Epoch: [61][7730/10010] Time 0.330 (0.327) Data 0.001 (0.001) Loss 1.4430 (1.4794) Prec@1 66.406 (65.910) Prec@5 86.719 (85.316) Epoch: [61][7740/10010] Time 0.323 (0.327) Data 0.000 (0.001) Loss 1.5035 (1.4793) Prec@1 62.500 (65.911) Prec@5 87.500 (85.317) Epoch: [61][7750/10010] Time 0.328 (0.327) Data 0.001 (0.001) Loss 1.2202 (1.4793) Prec@1 71.094 (65.911) Prec@5 89.844 (85.316) Epoch: [61][7760/10010] Time 0.320 (0.327) Data 0.001 (0.001) Loss 1.6611 (1.4794) Prec@1 61.719 (65.910) Prec@5 83.594 (85.314) Epoch: [61][7770/10010] Time 0.333 (0.327) Data 0.001 (0.001) Loss 1.4967 (1.4794) Prec@1 66.406 (65.911) Prec@5 85.156 (85.315) Epoch: [61][7780/10010] Time 0.322 (0.327) Data 0.000 (0.001) Loss 1.5167 (1.4794) Prec@1 61.719 (65.911) Prec@5 85.156 (85.317) Epoch: [61][7790/10010] Time 0.329 (0.327) Data 0.000 (0.001) Loss 1.6426 (1.4793) Prec@1 59.375 (65.911) Prec@5 82.812 (85.319) Epoch: [61][7800/10010] Time 0.335 (0.327) Data 0.001 (0.001) Loss 1.3240 (1.4792) Prec@1 63.281 (65.912) Prec@5 87.500 (85.319) Epoch: [61][7810/10010] Time 0.330 (0.327) Data 0.001 (0.001) Loss 1.5450 (1.4793) Prec@1 59.375 (65.908) Prec@5 85.156 (85.318) Epoch: [61][7820/10010] Time 0.335 (0.327) Data 0.001 (0.001) Loss 1.4354 (1.4793) Prec@1 64.844 (65.908) Prec@5 84.375 (85.317) Epoch: [61][7830/10010] Time 0.323 (0.327) Data 0.001 (0.001) Loss 1.1646 (1.4792) Prec@1 71.875 (65.908) Prec@5 86.719 (85.318) Epoch: [61][7840/10010] Time 0.322 (0.327) Data 0.001 (0.001) Loss 1.4996 (1.4793) Prec@1 60.156 (65.906) Prec@5 86.719 (85.318) Epoch: [61][7850/10010] Time 0.340 (0.327) Data 0.001 (0.001) Loss 1.5758 (1.4793) Prec@1 65.625 (65.906) Prec@5 84.375 (85.317) Epoch: [61][7860/10010] Time 0.333 (0.327) Data 0.001 (0.001) Loss 1.5802 (1.4794) Prec@1 64.062 (65.906) Prec@5 83.594 (85.317) Epoch: [61][7870/10010] Time 0.334 (0.327) Data 0.001 (0.001) Loss 1.1785 (1.4793) Prec@1 72.656 (65.907) Prec@5 93.750 (85.318) Epoch: [61][7880/10010] Time 0.325 (0.327) Data 0.000 (0.001) Loss 1.3867 (1.4794) Prec@1 66.406 (65.907) Prec@5 87.500 (85.317) Epoch: [61][7890/10010] Time 0.322 (0.327) Data 0.001 (0.001) Loss 1.3171 (1.4794) Prec@1 64.844 (65.906) Prec@5 90.625 (85.319) Epoch: [61][7900/10010] Time 0.340 (0.327) Data 0.001 (0.001) Loss 1.7672 (1.4794) Prec@1 60.938 (65.904) Prec@5 78.906 (85.318) Epoch: [61][7910/10010] Time 0.319 (0.327) Data 0.001 (0.001) Loss 1.2412 (1.4793) Prec@1 66.406 (65.906) Prec@5 90.625 (85.321) Epoch: [61][7920/10010] Time 0.336 (0.327) Data 0.000 (0.001) Loss 1.3870 (1.4792) Prec@1 71.094 (65.906) Prec@5 87.500 (85.322) Epoch: [61][7930/10010] Time 0.332 (0.327) Data 0.001 (0.001) Loss 1.3045 (1.4792) Prec@1 72.656 (65.905) Prec@5 86.719 (85.323) Epoch: [61][7940/10010] Time 0.339 (0.327) Data 0.001 (0.001) Loss 1.6496 (1.4793) Prec@1 64.062 (65.903) Prec@5 83.594 (85.321) Epoch: [61][7950/10010] Time 0.336 (0.327) Data 0.001 (0.001) Loss 1.6868 (1.4794) Prec@1 60.938 (65.901) Prec@5 82.812 (85.320) Epoch: [61][7960/10010] Time 0.321 (0.327) Data 0.001 (0.001) Loss 1.4418 (1.4793) Prec@1 67.188 (65.904) Prec@5 84.375 (85.321) Epoch: [61][7970/10010] Time 0.319 (0.327) Data 0.001 (0.001) Loss 1.4030 (1.4793) Prec@1 66.406 (65.904) Prec@5 86.719 (85.320) Epoch: [61][7980/10010] Time 0.331 (0.327) Data 0.000 (0.001) Loss 1.6993 (1.4793) Prec@1 64.062 (65.902) Prec@5 80.469 (85.319) Epoch: [61][7990/10010] Time 0.339 (0.327) Data 0.000 (0.001) Loss 1.5706 (1.4793) Prec@1 69.531 (65.904) Prec@5 82.812 (85.320) Epoch: [61][8000/10010] Time 0.331 (0.327) Data 0.001 (0.001) Loss 1.6455 (1.4791) Prec@1 57.812 (65.905) Prec@5 84.375 (85.322) Epoch: [61][8010/10010] Time 0.318 (0.327) Data 0.000 (0.001) Loss 1.4516 (1.4792) Prec@1 64.062 (65.903) Prec@5 83.594 (85.321) Epoch: [61][8020/10010] Time 0.317 (0.327) Data 0.001 (0.001) Loss 1.4167 (1.4794) Prec@1 62.500 (65.900) Prec@5 87.500 (85.320) Epoch: [61][8030/10010] Time 0.340 (0.327) Data 0.000 (0.001) Loss 1.6041 (1.4792) Prec@1 60.938 (65.902) Prec@5 82.812 (85.322) Epoch: [61][8040/10010] Time 0.318 (0.327) Data 0.001 (0.001) Loss 1.6799 (1.4794) Prec@1 62.500 (65.901) Prec@5 84.375 (85.320) Epoch: [61][8050/10010] Time 0.329 (0.327) Data 0.000 (0.001) Loss 1.3797 (1.4794) Prec@1 65.625 (65.900) Prec@5 85.156 (85.320) Epoch: [61][8060/10010] Time 0.341 (0.327) Data 0.000 (0.001) Loss 1.5094 (1.4794) Prec@1 65.625 (65.899) Prec@5 86.719 (85.320) Epoch: [61][8070/10010] Time 0.322 (0.327) Data 0.001 (0.001) Loss 1.4433 (1.4794) Prec@1 67.969 (65.899) Prec@5 86.719 (85.321) Epoch: [61][8080/10010] Time 0.329 (0.327) Data 0.000 (0.001) Loss 1.4607 (1.4794) Prec@1 62.500 (65.898) Prec@5 88.281 (85.321) Epoch: [61][8090/10010] Time 0.340 (0.327) Data 0.000 (0.001) Loss 1.2736 (1.4794) Prec@1 71.875 (65.897) Prec@5 90.625 (85.320) Epoch: [61][8100/10010] Time 0.341 (0.327) Data 0.001 (0.001) Loss 1.5572 (1.4795) Prec@1 61.719 (65.896) Prec@5 81.250 (85.318) Epoch: [61][8110/10010] Time 0.326 (0.327) Data 0.000 (0.001) Loss 1.5854 (1.4795) Prec@1 64.844 (65.898) Prec@5 85.156 (85.319) Epoch: [61][8120/10010] Time 0.314 (0.327) Data 0.000 (0.001) Loss 1.3129 (1.4795) Prec@1 67.969 (65.900) Prec@5 87.500 (85.318) Epoch: [61][8130/10010] Time 0.330 (0.327) Data 0.001 (0.001) Loss 1.2439 (1.4795) Prec@1 71.875 (65.900) Prec@5 87.500 (85.319) Epoch: [61][8140/10010] Time 0.316 (0.327) Data 0.001 (0.001) Loss 1.6034 (1.4795) Prec@1 67.969 (65.900) Prec@5 82.031 (85.320) Epoch: [61][8150/10010] Time 0.321 (0.327) Data 0.000 (0.001) Loss 1.3915 (1.4795) Prec@1 68.750 (65.899) Prec@5 89.062 (85.321) Epoch: [61][8160/10010] Time 0.331 (0.327) Data 0.001 (0.001) Loss 1.6319 (1.4795) Prec@1 64.844 (65.899) Prec@5 82.031 (85.321) Epoch: [61][8170/10010] Time 0.340 (0.327) Data 0.001 (0.001) Loss 1.2074 (1.4794) Prec@1 70.312 (65.899) Prec@5 88.281 (85.322) Epoch: [61][8180/10010] Time 0.319 (0.327) Data 0.001 (0.001) Loss 1.7463 (1.4794) Prec@1 60.938 (65.898) Prec@5 80.469 (85.323) Epoch: [61][8190/10010] Time 0.329 (0.327) Data 0.000 (0.001) Loss 1.5800 (1.4794) Prec@1 64.844 (65.898) Prec@5 82.031 (85.322) Epoch: [61][8200/10010] Time 0.329 (0.327) Data 0.001 (0.001) Loss 1.4173 (1.4794) Prec@1 68.750 (65.900) Prec@5 87.500 (85.322) Epoch: [61][8210/10010] Time 0.318 (0.327) Data 0.001 (0.001) Loss 1.3238 (1.4795) Prec@1 70.312 (65.899) Prec@5 90.625 (85.322) Epoch: [61][8220/10010] Time 0.315 (0.327) Data 0.001 (0.001) Loss 1.2261 (1.4795) Prec@1 71.875 (65.899) Prec@5 88.281 (85.322) Epoch: [61][8230/10010] Time 0.309 (0.327) Data 0.001 (0.001) Loss 1.5928 (1.4794) Prec@1 64.062 (65.900) Prec@5 84.375 (85.323) Epoch: [61][8240/10010] Time 0.333 (0.327) Data 0.000 (0.001) Loss 1.4375 (1.4794) Prec@1 66.406 (65.901) Prec@5 83.594 (85.323) Epoch: [61][8250/10010] Time 0.324 (0.327) Data 0.001 (0.001) Loss 1.4989 (1.4793) Prec@1 66.406 (65.902) Prec@5 83.594 (85.324) Epoch: [61][8260/10010] Time 0.317 (0.327) Data 0.001 (0.001) Loss 1.2976 (1.4793) Prec@1 64.844 (65.901) Prec@5 89.844 (85.323) Epoch: [61][8270/10010] Time 0.320 (0.327) Data 0.001 (0.001) Loss 1.2470 (1.4792) Prec@1 72.656 (65.902) Prec@5 86.719 (85.323) Epoch: [61][8280/10010] Time 0.340 (0.327) Data 0.001 (0.001) Loss 1.2902 (1.4792) Prec@1 68.750 (65.902) Prec@5 89.062 (85.321) Epoch: [61][8290/10010] Time 0.334 (0.327) Data 0.001 (0.001) Loss 1.6728 (1.4792) Prec@1 60.938 (65.900) Prec@5 81.250 (85.320) Epoch: [61][8300/10010] Time 0.315 (0.327) Data 0.001 (0.001) Loss 1.2695 (1.4791) Prec@1 63.281 (65.902) Prec@5 90.625 (85.322) Epoch: [61][8310/10010] Time 0.323 (0.327) Data 0.001 (0.001) Loss 1.6622 (1.4790) Prec@1 63.281 (65.906) Prec@5 78.906 (85.323) Epoch: [61][8320/10010] Time 0.325 (0.327) Data 0.001 (0.001) Loss 1.1604 (1.4789) Prec@1 75.000 (65.909) Prec@5 89.844 (85.325) Epoch: [61][8330/10010] Time 0.319 (0.327) Data 0.001 (0.001) Loss 1.2723 (1.4788) Prec@1 69.531 (65.910) Prec@5 85.156 (85.325) Epoch: [61][8340/10010] Time 0.322 (0.327) Data 0.000 (0.001) Loss 1.5074 (1.4788) Prec@1 66.406 (65.909) Prec@5 85.938 (85.324) Epoch: [61][8350/10010] Time 0.328 (0.327) Data 0.001 (0.001) Loss 1.5108 (1.4787) Prec@1 59.375 (65.908) Prec@5 87.500 (85.325) Epoch: [61][8360/10010] Time 0.338 (0.327) Data 0.000 (0.001) Loss 1.6955 (1.4787) Prec@1 57.031 (65.907) Prec@5 82.812 (85.325) Epoch: [61][8370/10010] Time 0.319 (0.327) Data 0.001 (0.001) Loss 1.7083 (1.4788) Prec@1 64.062 (65.906) Prec@5 80.469 (85.323) Epoch: [61][8380/10010] Time 0.321 (0.327) Data 0.001 (0.001) Loss 1.2763 (1.4787) Prec@1 69.531 (65.910) Prec@5 89.844 (85.326) Epoch: [61][8390/10010] Time 0.341 (0.327) Data 0.000 (0.001) Loss 1.5469 (1.4788) Prec@1 65.625 (65.907) Prec@5 83.594 (85.324) Epoch: [61][8400/10010] Time 0.324 (0.327) Data 0.001 (0.001) Loss 1.5650 (1.4788) Prec@1 57.812 (65.908) Prec@5 84.375 (85.324) Epoch: [61][8410/10010] Time 0.327 (0.327) Data 0.001 (0.001) Loss 1.2872 (1.4788) Prec@1 67.969 (65.908) Prec@5 89.062 (85.325) Epoch: [61][8420/10010] Time 0.330 (0.327) Data 0.001 (0.001) Loss 1.1654 (1.4787) Prec@1 73.438 (65.910) Prec@5 87.500 (85.326) Epoch: [61][8430/10010] Time 0.317 (0.327) Data 0.001 (0.001) Loss 1.5592 (1.4787) Prec@1 67.188 (65.910) Prec@5 85.938 (85.329) Epoch: [61][8440/10010] Time 0.316 (0.327) Data 0.001 (0.001) Loss 1.7070 (1.4787) Prec@1 64.062 (65.909) Prec@5 81.250 (85.328) Epoch: [61][8450/10010] Time 0.316 (0.327) Data 0.001 (0.001) Loss 1.2344 (1.4787) Prec@1 63.281 (65.909) Prec@5 85.938 (85.328) Epoch: [61][8460/10010] Time 0.310 (0.327) Data 0.001 (0.001) Loss 1.2610 (1.4787) Prec@1 71.094 (65.908) Prec@5 85.938 (85.329) Epoch: [61][8470/10010] Time 0.337 (0.327) Data 0.001 (0.001) Loss 1.4034 (1.4786) Prec@1 68.750 (65.909) Prec@5 85.938 (85.329) Epoch: [61][8480/10010] Time 0.325 (0.327) Data 0.001 (0.001) Loss 1.4027 (1.4786) Prec@1 67.188 (65.909) Prec@5 85.156 (85.329) Epoch: [61][8490/10010] Time 0.313 (0.327) Data 0.001 (0.001) Loss 1.2551 (1.4785) Prec@1 66.406 (65.910) Prec@5 88.281 (85.330) Epoch: [61][8500/10010] Time 0.328 (0.327) Data 0.001 (0.001) Loss 1.4471 (1.4786) Prec@1 70.312 (65.909) Prec@5 85.156 (85.329) Epoch: [61][8510/10010] Time 0.318 (0.327) Data 0.001 (0.001) Loss 1.2626 (1.4786) Prec@1 70.312 (65.907) Prec@5 88.281 (85.329) Epoch: [61][8520/10010] Time 0.316 (0.327) Data 0.001 (0.001) Loss 1.3915 (1.4785) Prec@1 64.844 (65.908) Prec@5 85.938 (85.329) Epoch: [61][8530/10010] Time 0.336 (0.327) Data 0.000 (0.001) Loss 1.7496 (1.4785) Prec@1 60.938 (65.908) Prec@5 82.812 (85.329) Epoch: [61][8540/10010] Time 0.331 (0.327) Data 0.001 (0.001) Loss 1.3935 (1.4785) Prec@1 64.844 (65.909) Prec@5 88.281 (85.329) Epoch: [61][8550/10010] Time 0.334 (0.327) Data 0.000 (0.001) Loss 1.3866 (1.4785) Prec@1 66.406 (65.908) Prec@5 88.281 (85.330) Epoch: [61][8560/10010] Time 0.334 (0.327) Data 0.001 (0.001) Loss 1.4943 (1.4785) Prec@1 64.844 (65.910) Prec@5 87.500 (85.331) Epoch: [61][8570/10010] Time 0.315 (0.327) Data 0.000 (0.001) Loss 1.5285 (1.4785) Prec@1 63.281 (65.908) Prec@5 85.156 (85.330) Epoch: [61][8580/10010] Time 0.322 (0.327) Data 0.001 (0.001) Loss 1.3612 (1.4785) Prec@1 71.875 (65.907) Prec@5 85.938 (85.330) Epoch: [61][8590/10010] Time 0.336 (0.327) Data 0.001 (0.001) Loss 1.5130 (1.4784) Prec@1 64.844 (65.907) Prec@5 88.281 (85.332) Epoch: [61][8600/10010] Time 0.325 (0.327) Data 0.001 (0.001) Loss 1.3580 (1.4784) Prec@1 67.188 (65.909) Prec@5 85.156 (85.331) Epoch: [61][8610/10010] Time 0.333 (0.327) Data 0.000 (0.001) Loss 1.7122 (1.4785) Prec@1 58.594 (65.907) Prec@5 82.812 (85.330) Epoch: [61][8620/10010] Time 0.329 (0.327) Data 0.000 (0.001) Loss 1.4240 (1.4784) Prec@1 64.844 (65.908) Prec@5 85.156 (85.331) Epoch: [61][8630/10010] Time 0.341 (0.327) Data 0.000 (0.001) Loss 1.3887 (1.4783) Prec@1 71.094 (65.909) Prec@5 89.844 (85.331) Epoch: [61][8640/10010] Time 0.339 (0.327) Data 0.000 (0.001) Loss 1.5102 (1.4782) Prec@1 60.938 (65.911) Prec@5 85.156 (85.330) Epoch: [61][8650/10010] Time 0.341 (0.327) Data 0.000 (0.001) Loss 1.7769 (1.4783) Prec@1 58.594 (65.910) Prec@5 78.906 (85.329) Epoch: [61][8660/10010] Time 0.332 (0.327) Data 0.001 (0.001) Loss 1.5983 (1.4783) Prec@1 60.156 (65.909) Prec@5 85.156 (85.329) Epoch: [61][8670/10010] Time 0.321 (0.327) Data 0.001 (0.001) Loss 1.5085 (1.4783) Prec@1 68.750 (65.909) Prec@5 83.594 (85.330) Epoch: [61][8680/10010] Time 0.324 (0.327) Data 0.001 (0.001) Loss 1.5827 (1.4783) Prec@1 62.500 (65.909) Prec@5 82.031 (85.330) Epoch: [61][8690/10010] Time 0.324 (0.327) Data 0.001 (0.001) Loss 1.3176 (1.4782) Prec@1 70.312 (65.910) Prec@5 87.500 (85.330) Epoch: [61][8700/10010] Time 0.311 (0.327) Data 0.001 (0.001) Loss 1.5831 (1.4782) Prec@1 61.719 (65.910) Prec@5 85.938 (85.330) Epoch: [61][8710/10010] Time 0.322 (0.327) Data 0.001 (0.001) Loss 1.5645 (1.4782) Prec@1 57.812 (65.906) Prec@5 85.938 (85.329) Epoch: [61][8720/10010] Time 0.335 (0.327) Data 0.000 (0.001) Loss 1.6674 (1.4781) Prec@1 60.156 (65.907) Prec@5 81.250 (85.330) Epoch: [61][8730/10010] Time 0.320 (0.327) Data 0.001 (0.001) Loss 1.4174 (1.4781) Prec@1 68.750 (65.908) Prec@5 87.500 (85.330) Epoch: [61][8740/10010] Time 0.324 (0.327) Data 0.000 (0.001) Loss 1.3171 (1.4781) Prec@1 66.406 (65.908) Prec@5 87.500 (85.330) Epoch: [61][8750/10010] Time 0.314 (0.327) Data 0.001 (0.001) Loss 1.5401 (1.4780) Prec@1 69.531 (65.908) Prec@5 83.594 (85.330) Epoch: [61][8760/10010] Time 0.322 (0.327) Data 0.000 (0.001) Loss 1.4226 (1.4779) Prec@1 69.531 (65.909) Prec@5 85.938 (85.331) Epoch: [61][8770/10010] Time 0.310 (0.327) Data 0.001 (0.001) Loss 1.5470 (1.4779) Prec@1 57.812 (65.907) Prec@5 82.031 (85.331) Epoch: [61][8780/10010] Time 0.340 (0.327) Data 0.001 (0.001) Loss 1.3888 (1.4779) Prec@1 72.656 (65.906) Prec@5 86.719 (85.330) Epoch: [61][8790/10010] Time 0.325 (0.327) Data 0.001 (0.001) Loss 1.2942 (1.4779) Prec@1 69.531 (65.908) Prec@5 89.844 (85.330) Epoch: [61][8800/10010] Time 0.339 (0.327) Data 0.000 (0.001) Loss 1.4421 (1.4778) Prec@1 64.844 (65.910) Prec@5 85.156 (85.332) Epoch: [61][8810/10010] Time 0.328 (0.327) Data 0.001 (0.001) Loss 1.3825 (1.4778) Prec@1 68.750 (65.910) Prec@5 87.500 (85.332) Epoch: [61][8820/10010] Time 0.340 (0.327) Data 0.001 (0.001) Loss 1.7804 (1.4778) Prec@1 57.812 (65.908) Prec@5 82.812 (85.333) Epoch: [61][8830/10010] Time 0.312 (0.327) Data 0.001 (0.001) Loss 1.3174 (1.4778) Prec@1 71.875 (65.911) Prec@5 86.719 (85.334) Epoch: [61][8840/10010] Time 0.322 (0.327) Data 0.001 (0.001) Loss 1.4383 (1.4777) Prec@1 67.969 (65.913) Prec@5 85.156 (85.335) Epoch: [61][8850/10010] Time 0.326 (0.327) Data 0.001 (0.001) Loss 1.5950 (1.4778) Prec@1 60.938 (65.911) Prec@5 83.594 (85.334) Epoch: [61][8860/10010] Time 0.319 (0.327) Data 0.001 (0.001) Loss 1.3520 (1.4778) Prec@1 65.625 (65.910) Prec@5 87.500 (85.334) Epoch: [61][8870/10010] Time 0.330 (0.327) Data 0.001 (0.001) Loss 1.7109 (1.4779) Prec@1 61.719 (65.908) Prec@5 82.031 (85.332) Epoch: [61][8880/10010] Time 0.329 (0.327) Data 0.001 (0.001) Loss 1.5420 (1.4779) Prec@1 62.500 (65.910) Prec@5 84.375 (85.333) Epoch: [61][8890/10010] Time 0.336 (0.327) Data 0.001 (0.001) Loss 1.7999 (1.4779) Prec@1 55.469 (65.910) Prec@5 82.031 (85.333) Epoch: [61][8900/10010] Time 0.315 (0.327) Data 0.001 (0.001) Loss 1.3775 (1.4778) Prec@1 69.531 (65.909) Prec@5 85.938 (85.334) Epoch: [61][8910/10010] Time 0.324 (0.327) Data 0.001 (0.001) Loss 1.5582 (1.4778) Prec@1 67.188 (65.909) Prec@5 83.594 (85.335) Epoch: [61][8920/10010] Time 0.328 (0.327) Data 0.001 (0.001) Loss 1.8315 (1.4778) Prec@1 63.281 (65.910) Prec@5 74.219 (85.334) Epoch: [61][8930/10010] Time 0.320 (0.327) Data 0.001 (0.001) Loss 1.7731 (1.4778) Prec@1 63.281 (65.908) Prec@5 77.344 (85.333) Epoch: [61][8940/10010] Time 0.320 (0.327) Data 0.000 (0.001) Loss 1.4902 (1.4779) Prec@1 67.188 (65.908) Prec@5 82.812 (85.332) Epoch: [61][8950/10010] Time 0.332 (0.327) Data 0.000 (0.001) Loss 1.2806 (1.4778) Prec@1 70.312 (65.908) Prec@5 85.156 (85.333) Epoch: [61][8960/10010] Time 0.327 (0.327) Data 0.000 (0.001) Loss 1.7959 (1.4777) Prec@1 62.500 (65.908) Prec@5 82.812 (85.334) Epoch: [61][8970/10010] Time 0.331 (0.327) Data 0.001 (0.001) Loss 1.6929 (1.4778) Prec@1 64.844 (65.909) Prec@5 82.031 (85.333) Epoch: [61][8980/10010] Time 0.337 (0.327) Data 0.000 (0.001) Loss 1.3271 (1.4778) Prec@1 67.188 (65.909) Prec@5 88.281 (85.333) Epoch: [61][8990/10010] Time 0.317 (0.327) Data 0.001 (0.001) Loss 1.2053 (1.4777) Prec@1 67.969 (65.911) Prec@5 91.406 (85.334) Epoch: [61][9000/10010] Time 0.329 (0.327) Data 0.001 (0.001) Loss 1.3391 (1.4777) Prec@1 64.062 (65.911) Prec@5 89.062 (85.334) Epoch: [61][9010/10010] Time 0.314 (0.327) Data 0.001 (0.001) Loss 1.7711 (1.4777) Prec@1 61.719 (65.910) Prec@5 79.688 (85.333) Epoch: [61][9020/10010] Time 0.323 (0.327) Data 0.001 (0.001) Loss 2.0127 (1.4778) Prec@1 48.438 (65.908) Prec@5 80.469 (85.333) Epoch: [61][9030/10010] Time 0.332 (0.327) Data 0.001 (0.001) Loss 1.3861 (1.4778) Prec@1 71.875 (65.908) Prec@5 88.281 (85.333) Epoch: [61][9040/10010] Time 0.315 (0.327) Data 0.001 (0.001) Loss 1.3731 (1.4778) Prec@1 71.094 (65.908) Prec@5 85.156 (85.334) Epoch: [61][9050/10010] Time 0.334 (0.327) Data 0.001 (0.001) Loss 1.9117 (1.4779) Prec@1 60.938 (65.907) Prec@5 78.125 (85.333) Epoch: [61][9060/10010] Time 0.332 (0.327) Data 0.001 (0.001) Loss 1.3207 (1.4780) Prec@1 65.625 (65.904) Prec@5 89.062 (85.333) Epoch: [61][9070/10010] Time 0.314 (0.327) Data 0.001 (0.001) Loss 1.5290 (1.4779) Prec@1 61.719 (65.905) Prec@5 83.594 (85.332) Epoch: [61][9080/10010] Time 0.332 (0.327) Data 0.001 (0.001) Loss 1.2222 (1.4779) Prec@1 70.312 (65.908) Prec@5 88.281 (85.334) Epoch: [61][9090/10010] Time 0.315 (0.327) Data 0.001 (0.001) Loss 1.5255 (1.4778) Prec@1 62.500 (65.909) Prec@5 86.719 (85.335) Epoch: [61][9100/10010] Time 0.330 (0.327) Data 0.000 (0.001) Loss 1.1500 (1.4778) Prec@1 72.656 (65.909) Prec@5 91.406 (85.336) Epoch: [61][9110/10010] Time 0.318 (0.327) Data 0.001 (0.001) Loss 1.5056 (1.4777) Prec@1 67.188 (65.910) Prec@5 86.719 (85.338) Epoch: [61][9120/10010] Time 0.328 (0.327) Data 0.001 (0.001) Loss 1.3392 (1.4777) Prec@1 68.750 (65.909) Prec@5 88.281 (85.338) Epoch: [61][9130/10010] Time 0.331 (0.327) Data 0.001 (0.001) Loss 1.6577 (1.4778) Prec@1 62.500 (65.906) Prec@5 81.250 (85.337) Epoch: [61][9140/10010] Time 0.313 (0.327) Data 0.001 (0.001) Loss 1.2396 (1.4776) Prec@1 73.438 (65.910) Prec@5 89.062 (85.339) Epoch: [61][9150/10010] Time 0.338 (0.327) Data 0.001 (0.001) Loss 1.2543 (1.4776) Prec@1 67.969 (65.910) Prec@5 89.062 (85.340) Epoch: [61][9160/10010] Time 0.334 (0.327) Data 0.001 (0.001) Loss 1.3584 (1.4776) Prec@1 70.312 (65.911) Prec@5 85.156 (85.338) Epoch: [61][9170/10010] Time 0.318 (0.327) Data 0.001 (0.001) Loss 1.3651 (1.4776) Prec@1 67.188 (65.910) Prec@5 85.938 (85.339) Epoch: [61][9180/10010] Time 0.318 (0.327) Data 0.000 (0.001) Loss 1.4934 (1.4776) Prec@1 67.188 (65.910) Prec@5 85.156 (85.339) Epoch: [61][9190/10010] Time 0.322 (0.327) Data 0.001 (0.001) Loss 1.4036 (1.4775) Prec@1 63.281 (65.910) Prec@5 87.500 (85.340) Epoch: [61][9200/10010] Time 0.322 (0.327) Data 0.001 (0.001) Loss 1.3376 (1.4775) Prec@1 73.438 (65.910) Prec@5 88.281 (85.342) Epoch: [61][9210/10010] Time 0.333 (0.327) Data 0.001 (0.001) Loss 1.4150 (1.4775) Prec@1 67.188 (65.909) Prec@5 86.719 (85.341) Epoch: [61][9220/10010] Time 0.312 (0.327) Data 0.001 (0.001) Loss 1.3429 (1.4774) Prec@1 67.969 (65.910) Prec@5 85.156 (85.342) Epoch: [61][9230/10010] Time 0.329 (0.327) Data 0.001 (0.001) Loss 1.3197 (1.4774) Prec@1 71.094 (65.912) Prec@5 89.062 (85.343) Epoch: [61][9240/10010] Time 0.319 (0.327) Data 0.001 (0.001) Loss 1.3265 (1.4774) Prec@1 68.750 (65.911) Prec@5 89.062 (85.342) Epoch: [61][9250/10010] Time 0.335 (0.327) Data 0.000 (0.001) Loss 1.6559 (1.4774) Prec@1 60.156 (65.913) Prec@5 83.594 (85.343) Epoch: [61][9260/10010] Time 0.309 (0.327) Data 0.001 (0.001) Loss 1.7524 (1.4773) Prec@1 57.031 (65.917) Prec@5 81.250 (85.344) Epoch: [61][9270/10010] Time 0.345 (0.327) Data 0.000 (0.001) Loss 1.4538 (1.4773) Prec@1 65.625 (65.916) Prec@5 83.594 (85.344) Epoch: [61][9280/10010] Time 0.320 (0.327) Data 0.001 (0.001) Loss 1.3186 (1.4773) Prec@1 67.188 (65.915) Prec@5 86.719 (85.343) Epoch: [61][9290/10010] Time 0.316 (0.327) Data 0.001 (0.001) Loss 1.2229 (1.4772) Prec@1 71.875 (65.918) Prec@5 89.844 (85.345) Epoch: [61][9300/10010] Time 0.333 (0.327) Data 0.001 (0.001) Loss 1.8445 (1.4772) Prec@1 58.594 (65.917) Prec@5 78.906 (85.346) Epoch: [61][9310/10010] Time 0.317 (0.327) Data 0.000 (0.001) Loss 1.2546 (1.4772) Prec@1 70.312 (65.918) Prec@5 84.375 (85.344) Epoch: [61][9320/10010] Time 0.339 (0.327) Data 0.000 (0.001) Loss 1.6745 (1.4772) Prec@1 62.500 (65.917) Prec@5 83.594 (85.343) Epoch: [61][9330/10010] Time 0.318 (0.327) Data 0.001 (0.001) Loss 1.7293 (1.4771) Prec@1 55.469 (65.917) Prec@5 78.906 (85.345) Epoch: [61][9340/10010] Time 0.324 (0.327) Data 0.000 (0.001) Loss 1.4769 (1.4771) Prec@1 64.844 (65.917) Prec@5 84.375 (85.344) Epoch: [61][9350/10010] Time 0.310 (0.327) Data 0.001 (0.001) Loss 1.3772 (1.4772) Prec@1 67.188 (65.915) Prec@5 87.500 (85.344) Epoch: [61][9360/10010] Time 0.319 (0.327) Data 0.001 (0.001) Loss 1.5091 (1.4771) Prec@1 67.969 (65.917) Prec@5 82.812 (85.344) Epoch: [61][9370/10010] Time 0.323 (0.327) Data 0.001 (0.001) Loss 1.3294 (1.4771) Prec@1 66.406 (65.917) Prec@5 88.281 (85.344) Epoch: [61][9380/10010] Time 0.319 (0.327) Data 0.001 (0.001) Loss 1.2868 (1.4771) Prec@1 71.875 (65.918) Prec@5 89.062 (85.345) Epoch: [61][9390/10010] Time 0.320 (0.327) Data 0.000 (0.001) Loss 1.5636 (1.4772) Prec@1 67.188 (65.917) Prec@5 81.250 (85.342) Epoch: [61][9400/10010] Time 0.331 (0.327) Data 0.000 (0.001) Loss 1.4407 (1.4772) Prec@1 67.969 (65.918) Prec@5 85.156 (85.342) Epoch: [61][9410/10010] Time 0.321 (0.327) Data 0.001 (0.001) Loss 1.1080 (1.4772) Prec@1 78.125 (65.920) Prec@5 92.188 (85.343) Epoch: [61][9420/10010] Time 0.322 (0.327) Data 0.001 (0.001) Loss 1.3169 (1.4772) Prec@1 67.969 (65.921) Prec@5 87.500 (85.344) Epoch: [61][9430/10010] Time 0.328 (0.327) Data 0.001 (0.001) Loss 1.4181 (1.4771) Prec@1 67.969 (65.922) Prec@5 86.719 (85.343) Epoch: [61][9440/10010] Time 0.343 (0.327) Data 0.001 (0.001) Loss 1.2904 (1.4771) Prec@1 67.188 (65.923) Prec@5 89.844 (85.344) Epoch: [61][9450/10010] Time 0.331 (0.327) Data 0.000 (0.001) Loss 1.3927 (1.4771) Prec@1 70.312 (65.924) Prec@5 85.938 (85.345) Epoch: [61][9460/10010] Time 0.331 (0.327) Data 0.001 (0.001) Loss 1.4516 (1.4771) Prec@1 66.406 (65.924) Prec@5 88.281 (85.345) Epoch: [61][9470/10010] Time 0.319 (0.327) Data 0.001 (0.001) Loss 1.4539 (1.4771) Prec@1 68.750 (65.926) Prec@5 86.719 (85.345) Epoch: [61][9480/10010] Time 0.331 (0.327) Data 0.000 (0.001) Loss 1.2784 (1.4770) Prec@1 67.969 (65.926) Prec@5 89.844 (85.347) Epoch: [61][9490/10010] Time 0.323 (0.327) Data 0.000 (0.001) Loss 1.3481 (1.4771) Prec@1 67.188 (65.924) Prec@5 85.156 (85.346) Epoch: [61][9500/10010] Time 0.323 (0.327) Data 0.000 (0.001) Loss 1.5537 (1.4771) Prec@1 64.844 (65.924) Prec@5 83.594 (85.347) /data/vision/torralba/deepscene/lib/anaconda2/lib/python2.7/site-packages/PIL/TiffImagePlugin.py:692: UserWarning: Possibly corrupt EXIF data. Expecting to read 2555904 bytes but only got 0. Skipping tag 0 "Skipping tag %s" % (size, len(data), tag)) Epoch: [61][9510/10010] Time 0.337 (0.327) Data 0.001 (0.001) Loss 1.4432 (1.4771) Prec@1 67.188 (65.925) Prec@5 89.062 (85.347) Epoch: [61][9520/10010] Time 0.337 (0.327) Data 0.001 (0.001) Loss 1.2891 (1.4770) Prec@1 63.281 (65.927) Prec@5 89.844 (85.348) Epoch: [61][9530/10010] Time 0.334 (0.327) Data 0.000 (0.001) Loss 1.2562 (1.4770) Prec@1 70.312 (65.928) Prec@5 89.062 (85.348) Epoch: [61][9540/10010] Time 0.319 (0.327) Data 0.001 (0.001) Loss 1.5721 (1.4769) Prec@1 64.062 (65.929) Prec@5 86.719 (85.348) Epoch: [61][9550/10010] Time 0.312 (0.327) Data 0.001 (0.001) Loss 1.7805 (1.4771) Prec@1 60.938 (65.927) Prec@5 78.125 (85.347) /data/vision/torralba/deepscene/lib/anaconda2/lib/python2.7/site-packages/PIL/TiffImagePlugin.py:692: UserWarning: Possibly corrupt EXIF data. Expecting to read 19660800 bytes but only got 0. Skipping tag 0 "Skipping tag %s" % (size, len(data), tag)) /data/vision/torralba/deepscene/lib/anaconda2/lib/python2.7/site-packages/PIL/TiffImagePlugin.py:692: UserWarning: Possibly corrupt EXIF data. Expecting to read 18481152 bytes but only got 0. Skipping tag 0 "Skipping tag %s" % (size, len(data), tag)) /data/vision/torralba/deepscene/lib/anaconda2/lib/python2.7/site-packages/PIL/TiffImagePlugin.py:692: UserWarning: Possibly corrupt EXIF data. Expecting to read 37093376 bytes but only got 0. Skipping tag 0 "Skipping tag %s" % (size, len(data), tag)) /data/vision/torralba/deepscene/lib/anaconda2/lib/python2.7/site-packages/PIL/TiffImagePlugin.py:692: UserWarning: Possibly corrupt EXIF data. Expecting to read 39976960 bytes but only got 0. Skipping tag 0 "Skipping tag %s" % (size, len(data), tag)) /data/vision/torralba/deepscene/lib/anaconda2/lib/python2.7/site-packages/PIL/TiffImagePlugin.py:692: UserWarning: Possibly corrupt EXIF data. Expecting to read 34865152 bytes but only got 0. Skipping tag 0 "Skipping tag %s" % (size, len(data), tag)) /data/vision/torralba/deepscene/lib/anaconda2/lib/python2.7/site-packages/PIL/TiffImagePlugin.py:709: UserWarning: Corrupt EXIF data. Expecting to read 12 bytes but only got 10. warnings.warn(str(msg)) Epoch: [61][9560/10010] Time 0.333 (0.327) Data 0.001 (0.001) Loss 1.2566 (1.4769) Prec@1 67.188 (65.930) Prec@5 88.281 (85.349) Epoch: [61][9570/10010] Time 0.317 (0.327) Data 0.000 (0.001) Loss 1.4642 (1.4769) Prec@1 69.531 (65.931) Prec@5 85.156 (85.349) Epoch: [61][9580/10010] Time 0.316 (0.327) Data 0.001 (0.001) Loss 1.3828 (1.4768) Prec@1 65.625 (65.932) Prec@5 82.031 (85.349) Epoch: [61][9590/10010] Time 0.324 (0.327) Data 0.001 (0.001) Loss 1.4350 (1.4768) Prec@1 67.188 (65.934) Prec@5 84.375 (85.349) Epoch: [61][9600/10010] Time 0.332 (0.327) Data 0.001 (0.001) Loss 1.3713 (1.4767) Prec@1 73.438 (65.937) Prec@5 88.281 (85.351) Epoch: [61][9610/10010] Time 0.311 (0.327) Data 0.000 (0.001) Loss 1.4710 (1.4767) Prec@1 64.062 (65.937) Prec@5 88.281 (85.351) Epoch: [61][9620/10010] Time 0.321 (0.327) Data 0.000 (0.001) Loss 1.6645 (1.4766) Prec@1 60.938 (65.940) Prec@5 84.375 (85.352) Epoch: [61][9630/10010] Time 0.331 (0.327) Data 0.001 (0.001) Loss 1.3090 (1.4766) Prec@1 74.219 (65.941) Prec@5 85.938 (85.352) Epoch: [61][9640/10010] Time 0.312 (0.327) Data 0.001 (0.001) Loss 1.6418 (1.4767) Prec@1 67.188 (65.942) Prec@5 81.250 (85.352) Epoch: [61][9650/10010] Time 0.321 (0.327) Data 0.001 (0.001) Loss 1.8267 (1.4768) Prec@1 61.719 (65.938) Prec@5 78.125 (85.349) Epoch: [61][9660/10010] Time 0.332 (0.327) Data 0.001 (0.001) Loss 1.5748 (1.4769) Prec@1 62.500 (65.936) Prec@5 86.719 (85.348) Epoch: [61][9670/10010] Time 0.335 (0.327) Data 0.000 (0.001) Loss 1.4387 (1.4769) Prec@1 62.500 (65.934) Prec@5 85.156 (85.347) Epoch: [61][9680/10010] Time 0.334 (0.327) Data 0.001 (0.001) Loss 1.4627 (1.4769) Prec@1 67.969 (65.934) Prec@5 83.594 (85.347) Epoch: [61][9690/10010] Time 0.338 (0.327) Data 0.001 (0.001) Loss 1.3910 (1.4769) Prec@1 67.969 (65.934) Prec@5 87.500 (85.348) Epoch: [61][9700/10010] Time 0.338 (0.327) Data 0.000 (0.001) Loss 1.3615 (1.4768) Prec@1 64.844 (65.934) Prec@5 87.500 (85.349) Epoch: [61][9710/10010] Time 0.317 (0.327) Data 0.001 (0.001) Loss 1.1289 (1.4768) Prec@1 75.781 (65.935) Prec@5 90.625 (85.348) Epoch: [61][9720/10010] Time 0.333 (0.327) Data 0.001 (0.001) Loss 1.4584 (1.4767) Prec@1 64.062 (65.937) Prec@5 85.938 (85.349) Epoch: [61][9730/10010] Time 0.311 (0.327) Data 0.001 (0.001) Loss 1.0649 (1.4766) Prec@1 75.781 (65.940) Prec@5 92.969 (85.348) Epoch: [61][9740/10010] Time 0.319 (0.327) Data 0.001 (0.001) Loss 1.4495 (1.4767) Prec@1 67.188 (65.938) Prec@5 82.812 (85.348) Epoch: [61][9750/10010] Time 0.314 (0.327) Data 0.001 (0.001) Loss 1.6607 (1.4767) Prec@1 57.031 (65.937) Prec@5 83.594 (85.347) Epoch: [61][9760/10010] Time 0.324 (0.327) Data 0.001 (0.001) Loss 1.4758 (1.4767) Prec@1 65.625 (65.939) Prec@5 86.719 (85.348) Epoch: [61][9770/10010] Time 0.316 (0.327) Data 0.001 (0.001) Loss 1.5848 (1.4766) Prec@1 63.281 (65.941) Prec@5 82.031 (85.348) Epoch: [61][9780/10010] Time 0.322 (0.327) Data 0.001 (0.001) Loss 1.5295 (1.4767) Prec@1 66.406 (65.939) Prec@5 84.375 (85.347) Epoch: [61][9790/10010] Time 0.321 (0.327) Data 0.001 (0.001) Loss 1.7340 (1.4766) Prec@1 65.625 (65.938) Prec@5 82.031 (85.348) Epoch: [61][9800/10010] Time 0.340 (0.327) Data 0.001 (0.001) Loss 1.6750 (1.4767) Prec@1 63.281 (65.938) Prec@5 83.594 (85.347) Epoch: [61][9810/10010] Time 0.340 (0.327) Data 0.000 (0.001) Loss 1.5226 (1.4767) Prec@1 71.875 (65.940) Prec@5 87.500 (85.348) Epoch: [61][9820/10010] Time 0.313 (0.327) Data 0.000 (0.001) Loss 1.4355 (1.4766) Prec@1 68.750 (65.940) Prec@5 85.156 (85.347) Epoch: [61][9830/10010] Time 0.321 (0.327) Data 0.001 (0.001) Loss 1.4601 (1.4767) Prec@1 64.844 (65.940) Prec@5 86.719 (85.347) Epoch: [61][9840/10010] Time 0.326 (0.327) Data 0.001 (0.001) Loss 1.5218 (1.4767) Prec@1 66.406 (65.941) Prec@5 89.844 (85.349) Epoch: [61][9850/10010] Time 0.325 (0.327) Data 0.001 (0.001) Loss 1.4963 (1.4766) Prec@1 63.281 (65.942) Prec@5 85.156 (85.349) Epoch: [61][9860/10010] Time 0.318 (0.327) Data 0.000 (0.001) Loss 1.5593 (1.4766) Prec@1 64.844 (65.942) Prec@5 81.250 (85.350) Epoch: [61][9870/10010] Time 0.320 (0.327) Data 0.001 (0.001) Loss 1.2643 (1.4766) Prec@1 71.875 (65.944) Prec@5 88.281 (85.350) Epoch: [61][9880/10010] Time 0.333 (0.327) Data 0.000 (0.001) Loss 1.6093 (1.4766) Prec@1 64.844 (65.944) Prec@5 84.375 (85.352) Epoch: [61][9890/10010] Time 0.337 (0.327) Data 0.001 (0.001) Loss 1.5875 (1.4765) Prec@1 63.281 (65.946) Prec@5 81.250 (85.352) Epoch: [61][9900/10010] Time 0.314 (0.327) Data 0.000 (0.001) Loss 1.4607 (1.4765) Prec@1 70.312 (65.947) Prec@5 84.375 (85.352) Epoch: [61][9910/10010] Time 0.325 (0.327) Data 0.001 (0.001) Loss 1.1861 (1.4764) Prec@1 68.750 (65.947) Prec@5 91.406 (85.354) Epoch: [61][9920/10010] Time 0.334 (0.327) Data 0.001 (0.001) Loss 1.1045 (1.4764) Prec@1 73.438 (65.950) Prec@5 89.062 (85.354) Epoch: [61][9930/10010] Time 0.328 (0.327) Data 0.001 (0.001) Loss 1.8230 (1.4765) Prec@1 58.594 (65.948) Prec@5 77.344 (85.352) Epoch: [61][9940/10010] Time 0.337 (0.327) Data 0.001 (0.001) Loss 1.2804 (1.4764) Prec@1 73.438 (65.948) Prec@5 87.500 (85.353) Epoch: [61][9950/10010] Time 0.315 (0.327) Data 0.001 (0.001) Loss 1.3030 (1.4765) Prec@1 70.312 (65.946) Prec@5 89.844 (85.352) Epoch: [61][9960/10010] Time 0.344 (0.327) Data 0.001 (0.001) Loss 1.4998 (1.4765) Prec@1 64.844 (65.947) Prec@5 86.719 (85.352) Epoch: [61][9970/10010] Time 0.323 (0.327) Data 0.001 (0.001) Loss 1.1801 (1.4764) Prec@1 76.562 (65.949) Prec@5 87.500 (85.352) Epoch: [61][9980/10010] Time 0.324 (0.327) Data 0.001 (0.001) Loss 1.4415 (1.4764) Prec@1 64.844 (65.949) Prec@5 85.156 (85.353) Epoch: [61][9990/10010] Time 0.324 (0.327) Data 0.001 (0.001) Loss 1.2774 (1.4764) Prec@1 74.219 (65.950) Prec@5 89.062 (85.353) Epoch: [61][10000/10010] Time 0.313 (0.327) Data 0.000 (0.001) Loss 1.5834 (1.4763) Prec@1 64.062 (65.949) Prec@5 85.938 (85.353) Test: [0/391] Time 3.821 (3.821) Loss 0.6978 (0.6978) Prec@1 82.031 (82.031) Prec@5 95.312 (95.312) Test: [10/391] Time 0.100 (0.454) Loss 1.1734 (0.6678) Prec@1 71.875 (83.523) Prec@5 91.406 (95.384) Test: [20/391] Time 0.104 (0.288) Loss 0.8698 (0.9272) Prec@1 77.344 (76.786) Prec@5 92.188 (92.560) Test: [30/391] Time 0.111 (0.230) Loss 1.8071 (1.0676) Prec@1 65.625 (73.085) Prec@5 85.938 (91.482) Test: [40/391] Time 0.103 (0.199) Loss 0.9628 (0.9580) Prec@1 77.344 (75.705) Prec@5 91.406 (92.492) Test: [50/391] Time 0.100 (0.180) Loss 0.5798 (0.9851) Prec@1 84.375 (75.506) Prec@5 95.312 (91.988) Test: [60/391] Time 0.108 (0.169) Loss 1.0412 (0.9325) Prec@1 75.000 (76.806) Prec@5 90.625 (92.508) Test: [70/391] Time 0.105 (0.160) Loss 1.1161 (0.9613) Prec@1 67.969 (75.858) Prec@5 95.312 (92.452) Test: [80/391] Time 0.103 (0.153) Loss 1.0259 (0.9800) Prec@1 74.219 (75.096) Prec@5 93.750 (92.409) Test: [90/391] Time 0.107 (0.148) Loss 1.1491 (0.9838) Prec@1 63.281 (74.940) Prec@5 92.969 (92.505) Test: [100/391] Time 0.104 (0.146) Loss 0.8617 (0.9745) Prec@1 78.906 (74.869) Prec@5 93.750 (92.760) Test: [110/391] Time 0.100 (0.142) Loss 1.2810 (0.9776) Prec@1 50.781 (74.620) Prec@5 96.094 (92.891) Test: [120/391] Time 0.106 (0.139) Loss 0.7543 (0.9713) Prec@1 80.469 (74.935) Prec@5 95.312 (92.988) Test: [130/391] Time 0.101 (0.136) Loss 0.4891 (0.9635) Prec@1 91.406 (75.274) Prec@5 96.875 (93.028) Test: [140/391] Time 0.104 (0.134) Loss 1.2675 (0.9623) Prec@1 67.188 (75.227) Prec@5 91.406 (93.085) Test: [150/391] Time 0.102 (0.132) Loss 0.9464 (0.9678) Prec@1 67.969 (75.160) Prec@5 92.969 (92.969) Test: [160/391] Time 0.110 (0.130) Loss 1.0071 (0.9745) Prec@1 67.969 (75.000) Prec@5 92.188 (92.872) Test: [170/391] Time 0.107 (0.129) Loss 1.7149 (1.0066) Prec@1 55.469 (74.351) Prec@5 85.938 (92.516) Test: [180/391] Time 0.097 (0.127) Loss 2.0232 (1.0413) Prec@1 51.562 (73.645) Prec@5 85.156 (92.062) Test: [190/391] Time 0.104 (0.126) Loss 2.0095 (1.0760) Prec@1 53.906 (72.947) Prec@5 83.594 (91.611) Test: [200/391] Time 0.110 (0.126) Loss 1.1672 (1.1042) Prec@1 70.312 (72.396) Prec@5 90.625 (91.231) Test: [210/391] Time 0.108 (0.125) Loss 1.5378 (1.1208) Prec@1 65.625 (72.082) Prec@5 87.500 (91.040) Test: [220/391] Time 0.107 (0.124) Loss 0.6394 (1.1325) Prec@1 85.156 (71.903) Prec@5 96.094 (90.784) Test: [230/391] Time 0.102 (0.123) Loss 2.0764 (1.1457) Prec@1 53.125 (71.662) Prec@5 82.031 (90.652) Test: [240/391] Time 0.109 (0.123) Loss 1.3621 (1.1538) Prec@1 72.656 (71.583) Prec@5 85.156 (90.528) Test: [250/391] Time 0.107 (0.122) Loss 0.8916 (1.1785) Prec@1 77.344 (71.013) Prec@5 91.406 (90.183) Test: [260/391] Time 0.109 (0.122) Loss 1.4581 (1.1943) Prec@1 64.844 (70.684) Prec@5 86.719 (90.014) Test: [270/391] Time 0.110 (0.121) Loss 1.9597 (1.2047) Prec@1 50.000 (70.436) Prec@5 82.812 (89.887) Test: [280/391] Time 0.102 (0.120) Loss 1.3294 (1.2111) Prec@1 63.281 (70.326) Prec@5 90.625 (89.819) Test: [290/391] Time 0.111 (0.120) Loss 1.6475 (1.2226) Prec@1 46.875 (70.068) Prec@5 89.844 (89.613) Test: [300/391] Time 0.103 (0.120) Loss 1.3276 (1.2331) Prec@1 79.688 (69.889) Prec@5 88.281 (89.454) Test: [310/391] Time 0.116 (0.119) Loss 1.4898 (1.2425) Prec@1 67.969 (69.725) Prec@5 85.156 (89.284) Test: [320/391] Time 0.107 (0.119) Loss 0.8669 (1.2502) Prec@1 80.469 (69.602) Prec@5 92.188 (89.194) Test: [330/391] Time 0.113 (0.118) Loss 1.9336 (1.2682) Prec@1 58.594 (69.196) Prec@5 78.125 (88.956) Test: [340/391] Time 0.109 (0.118) Loss 1.1776 (1.2739) Prec@1 64.062 (69.013) Prec@5 92.969 (88.886) Test: [350/391] Time 0.107 (0.118) Loss 1.2530 (1.2790) Prec@1 73.438 (68.901) Prec@5 89.062 (88.804) Test: [360/391] Time 0.107 (0.118) Loss 1.4386 (1.2862) Prec@1 57.031 (68.769) Prec@5 90.625 (88.770) Test: [370/391] Time 0.106 (0.117) Loss 1.2178 (1.2804) Prec@1 63.281 (68.851) Prec@5 93.750 (88.841) Test: [380/391] Time 0.105 (0.117) Loss 0.9848 (1.2825) Prec@1 75.000 (68.799) Prec@5 92.969 (88.810) Test: [390/391] Time 0.068 (0.117) Loss 1.9603 (1.2756) Prec@1 46.250 (68.962) Prec@5 81.250 (88.892) * Prec@1 68.962 Prec@5 88.892 Epoch: [62][0/10010] Time 2.438 (2.438) Data 2.248 (2.248) Loss 1.3956 (1.3956) Prec@1 64.062 (64.062) Prec@5 85.156 (85.156) Epoch: [62][10/10010] Time 0.315 (0.510) Data 0.001 (0.205) Loss 1.4683 (1.4853) Prec@1 66.406 (66.122) Prec@5 85.938 (84.872) Epoch: [62][20/10010] Time 0.317 (0.418) Data 0.001 (0.108) Loss 1.4411 (1.4945) Prec@1 71.875 (66.295) Prec@5 85.156 (85.193) Epoch: [62][30/10010] Time 0.317 (0.385) Data 0.001 (0.073) Loss 1.4529 (1.4609) Prec@1 64.062 (66.507) Prec@5 86.719 (85.685) Epoch: [62][40/10010] Time 0.313 (0.368) Data 0.001 (0.056) Loss 1.4507 (1.4405) Prec@1 72.656 (66.825) Prec@5 84.375 (86.071) Epoch: [62][50/10010] Time 0.324 (0.358) Data 0.001 (0.045) Loss 1.4427 (1.4480) Prec@1 68.750 (66.575) Prec@5 87.500 (86.029) Epoch: [62][60/10010] Time 0.333 (0.353) Data 0.001 (0.038) Loss 1.4672 (1.4468) Prec@1 66.406 (66.393) Prec@5 86.719 (85.976) Epoch: [62][70/10010] Time 0.343 (0.350) Data 0.000 (0.032) Loss 1.5045 (1.4500) Prec@1 61.719 (66.285) Prec@5 84.375 (85.915) Epoch: [62][80/10010] Time 0.343 (0.347) Data 0.000 (0.028) Loss 1.3908 (1.4512) Prec@1 69.531 (66.252) Prec@5 85.938 (85.774) Epoch: [62][90/10010] Time 0.316 (0.345) Data 0.001 (0.025) Loss 1.2110 (1.4534) Prec@1 71.094 (66.338) Prec@5 86.719 (85.749) Epoch: [62][100/10010] Time 0.321 (0.343) Data 0.001 (0.023) Loss 1.3085 (1.4562) Prec@1 65.625 (66.228) Prec@5 85.938 (85.651) Epoch: [62][110/10010] Time 0.315 (0.341) Data 0.001 (0.021) Loss 1.4929 (1.4663) Prec@1 63.281 (65.956) Prec@5 85.156 (85.480) Epoch: [62][120/10010] Time 0.315 (0.339) Data 0.000 (0.019) Loss 1.4076 (1.4723) Prec@1 74.219 (65.961) Prec@5 89.062 (85.440) Epoch: [62][130/10010] Time 0.315 (0.338) Data 0.001 (0.018) Loss 1.3723 (1.4699) Prec@1 72.656 (66.084) Prec@5 87.500 (85.508) Epoch: [62][140/10010] Time 0.320 (0.336) Data 0.001 (0.017) Loss 1.3780 (1.4634) Prec@1 69.531 (66.229) Prec@5 86.719 (85.550) Epoch: [62][150/10010] Time 0.316 (0.336) Data 0.001 (0.016) Loss 1.5098 (1.4633) Prec@1 67.969 (66.256) Prec@5 86.719 (85.539) Epoch: [62][160/10010] Time 0.338 (0.335) Data 0.001 (0.015) Loss 1.5839 (1.4621) Prec@1 64.844 (66.159) Prec@5 79.688 (85.544) Epoch: [62][170/10010] Time 0.317 (0.335) Data 0.001 (0.014) Loss 1.4965 (1.4597) Prec@1 63.281 (66.246) Prec@5 86.719 (85.545) Epoch: [62][180/10010] Time 0.336 (0.334) Data 0.001 (0.013) Loss 1.5893 (1.4586) Prec@1 60.156 (66.247) Prec@5 82.031 (85.592) Epoch: [62][190/10010] Time 0.321 (0.334) Data 0.001 (0.012) Loss 1.6607 (1.4612) Prec@1 62.500 (66.177) Prec@5 82.812 (85.586) Epoch: [62][200/10010] Time 0.321 (0.333) Data 0.001 (0.012) Loss 1.5510 (1.4624) Prec@1 66.406 (66.189) Prec@5 83.594 (85.541) Epoch: [62][210/10010] Time 0.322 (0.332) Data 0.000 (0.011) Loss 1.2977 (1.4583) Prec@1 67.969 (66.288) Prec@5 91.406 (85.638) Epoch: [62][220/10010] Time 0.313 (0.332) Data 0.001 (0.011) Loss 1.5066 (1.4603) Prec@1 69.531 (66.219) Prec@5 85.156 (85.591) Epoch: [62][230/10010] Time 0.327 (0.331) Data 0.001 (0.010) Loss 1.0960 (1.4545) Prec@1 75.781 (66.342) Prec@5 89.844 (85.704) Epoch: [62][240/10010] Time 0.314 (0.331) Data 0.001 (0.010) Loss 1.1981 (1.4548) Prec@1 70.312 (66.312) Prec@5 89.844 (85.714) Epoch: [62][250/10010] Time 0.346 (0.331) Data 0.001 (0.010) Loss 1.7388 (1.4605) Prec@1 60.156 (66.191) Prec@5 83.594 (85.685) Epoch: [62][260/10010] Time 0.342 (0.331) Data 0.001 (0.009) Loss 1.3079 (1.4614) Prec@1 74.219 (66.221) Prec@5 86.719 (85.653) Epoch: [62][270/10010] Time 0.339 (0.330) Data 0.001 (0.009) Loss 1.6990 (1.4618) Prec@1 64.062 (66.199) Prec@5 82.812 (85.675) Epoch: [62][280/10010] Time 0.319 (0.330) Data 0.001 (0.009) Loss 1.2180 (1.4629) Prec@1 71.875 (66.206) Prec@5 85.938 (85.615) Epoch: [62][290/10010] Time 0.325 (0.330) Data 0.001 (0.008) Loss 1.4195 (1.4632) Prec@1 67.188 (66.202) Prec@5 86.719 (85.599) Epoch: [62][300/10010] Time 0.332 (0.330) Data 0.001 (0.008) Loss 1.5866 (1.4643) Prec@1 65.625 (66.193) Prec@5 79.688 (85.600) Epoch: [62][310/10010] Time 0.320 (0.330) Data 0.001 (0.008) Loss 1.7253 (1.4688) Prec@1 61.719 (66.120) Prec@5 79.688 (85.558) Epoch: [62][320/10010] Time 0.338 (0.329) Data 0.000 (0.008) Loss 1.1731 (1.4657) Prec@1 72.656 (66.202) Prec@5 91.406 (85.621) Epoch: [62][330/10010] Time 0.321 (0.329) Data 0.001 (0.007) Loss 1.6187 (1.4656) Prec@1 62.500 (66.194) Prec@5 82.031 (85.638) Epoch: [62][340/10010] Time 0.332 (0.329) Data 0.001 (0.007) Loss 1.7130 (1.4649) Prec@1 54.688 (66.198) Prec@5 83.594 (85.642) Epoch: [62][350/10010] Time 0.330 (0.329) Data 0.001 (0.007) Loss 1.3302 (1.4638) Prec@1 70.312 (66.193) Prec@5 88.281 (85.653) Epoch: [62][360/10010] Time 0.318 (0.329) Data 0.001 (0.007) Loss 1.6483 (1.4621) Prec@1 62.500 (66.220) Prec@5 79.688 (85.676) Epoch: [62][370/10010] Time 0.323 (0.329) Data 0.001 (0.007) Loss 1.5416 (1.4614) Prec@1 64.844 (66.244) Prec@5 82.031 (85.708) Epoch: [62][380/10010] Time 0.328 (0.329) Data 0.000 (0.007) Loss 1.4303 (1.4610) Prec@1 62.500 (66.236) Prec@5 86.719 (85.687) Epoch: [62][390/10010] Time 0.333 (0.329) Data 0.001 (0.006) Loss 1.4521 (1.4597) Prec@1 66.406 (66.286) Prec@5 85.938 (85.730) Epoch: [62][400/10010] Time 0.319 (0.328) Data 0.000 (0.006) Loss 1.7021 (1.4586) Prec@1 60.938 (66.317) Prec@5 80.469 (85.743) Epoch: [62][410/10010] Time 0.319 (0.328) Data 0.001 (0.006) Loss 1.5572 (1.4606) Prec@1 66.406 (66.300) Prec@5 85.156 (85.683) Epoch: [62][420/10010] Time 0.325 (0.328) Data 0.000 (0.006) Loss 1.2386 (1.4592) Prec@1 71.875 (66.339) Prec@5 89.844 (85.700) Epoch: [62][430/10010] Time 0.314 (0.328) Data 0.001 (0.006) Loss 1.4331 (1.4600) Prec@1 67.188 (66.323) Prec@5 86.719 (85.702) Epoch: [62][440/10010] Time 0.321 (0.328) Data 0.000 (0.006) Loss 1.4617 (1.4586) Prec@1 67.969 (66.362) Prec@5 87.500 (85.718) Epoch: [62][450/10010] Time 0.339 (0.328) Data 0.001 (0.006) Loss 1.3120 (1.4572) Prec@1 69.531 (66.399) Prec@5 89.062 (85.733) Epoch: [62][460/10010] Time 0.334 (0.328) Data 0.001 (0.006) Loss 1.1150 (1.4585) Prec@1 74.219 (66.415) Prec@5 89.844 (85.700) Epoch: [62][470/10010] Time 0.316 (0.328) Data 0.000 (0.005) Loss 1.3510 (1.4606) Prec@1 67.969 (66.327) Prec@5 88.281 (85.687) Epoch: [62][480/10010] Time 0.318 (0.328) Data 0.001 (0.005) Loss 1.3837 (1.4616) Prec@1 68.750 (66.289) Prec@5 84.375 (85.655) Epoch: [62][490/10010] Time 0.326 (0.328) Data 0.001 (0.005) Loss 1.1264 (1.4624) Prec@1 72.656 (66.273) Prec@5 92.969 (85.656) Epoch: [62][500/10010] Time 0.315 (0.328) Data 0.001 (0.005) Loss 1.6556 (1.4614) Prec@1 67.188 (66.300) Prec@5 79.688 (85.644) Epoch: [62][510/10010] Time 0.328 (0.328) Data 0.001 (0.005) Loss 1.2530 (1.4610) Prec@1 73.438 (66.308) Prec@5 88.281 (85.630) Epoch: [62][520/10010] Time 0.320 (0.328) Data 0.000 (0.005) Loss 1.4064 (1.4611) Prec@1 73.438 (66.325) Prec@5 86.719 (85.629) Epoch: [62][530/10010] Time 0.323 (0.328) Data 0.001 (0.005) Loss 1.6005 (1.4621) Prec@1 60.938 (66.302) Prec@5 84.375 (85.602) Epoch: [62][540/10010] Time 0.339 (0.328) Data 0.001 (0.005) Loss 1.5816 (1.4631) Prec@1 66.406 (66.292) Prec@5 83.594 (85.600) Epoch: [62][550/10010] Time 0.334 (0.328) Data 0.001 (0.005) Loss 1.4116 (1.4633) Prec@1 60.938 (66.284) Prec@5 87.500 (85.609) Epoch: [62][560/10010] Time 0.336 (0.328) Data 0.001 (0.005) Loss 1.0496 (1.4631) Prec@1 74.219 (66.286) Prec@5 90.625 (85.607) Epoch: [62][570/10010] Time 0.338 (0.328) Data 0.001 (0.005) Loss 1.5141 (1.4631) Prec@1 66.406 (66.279) Prec@5 88.281 (85.634) /data/vision/torralba/deepscene/lib/anaconda2/lib/python2.7/site-packages/PIL/TiffImagePlugin.py:692: UserWarning: Possibly corrupt EXIF data. Expecting to read 2555904 bytes but only got 0. Skipping tag 0 "Skipping tag %s" % (size, len(data), tag)) Epoch: [62][580/10010] Time 0.338 (0.328) Data 0.001 (0.005) Loss 1.2315 (1.4634) Prec@1 70.312 (66.277) Prec@5 89.062 (85.622) Epoch: [62][590/10010] Time 0.326 (0.328) Data 0.001 (0.004) Loss 1.8025 (1.4627) Prec@1 62.500 (66.319) Prec@5 79.688 (85.620) Epoch: [62][600/10010] Time 0.322 (0.328) Data 0.000 (0.004) Loss 1.4984 (1.4638) Prec@1 66.406 (66.280) Prec@5 84.375 (85.601) Epoch: [62][610/10010] Time 0.314 (0.328) Data 0.001 (0.004) Loss 1.3943 (1.4649) Prec@1 67.188 (66.253) Prec@5 85.938 (85.601) Epoch: [62][620/10010] Time 0.323 (0.328) Data 0.000 (0.004) Loss 1.7770 (1.4646) Prec@1 60.938 (66.282) Prec@5 82.031 (85.614) Epoch: [62][630/10010] Time 0.340 (0.328) Data 0.000 (0.004) Loss 1.6983 (1.4643) Prec@1 57.812 (66.275) Prec@5 83.594 (85.618) Epoch: [62][640/10010] Time 0.337 (0.328) Data 0.000 (0.004) Loss 1.4948 (1.4653) Prec@1 66.406 (66.267) Prec@5 84.375 (85.606) Epoch: [62][650/10010] Time 0.317 (0.328) Data 0.001 (0.004) Loss 1.3999 (1.4646) Prec@1 68.750 (66.301) Prec@5 89.062 (85.604) Epoch: [62][660/10010] Time 0.322 (0.328) Data 0.000 (0.004) Loss 1.5387 (1.4647) Prec@1 64.062 (66.302) Prec@5 85.156 (85.597) Epoch: [62][670/10010] Time 0.322 (0.328) Data 0.001 (0.004) Loss 1.4443 (1.4659) Prec@1 67.969 (66.290) Prec@5 83.594 (85.559) Epoch: [62][680/10010] Time 0.320 (0.328) Data 0.000 (0.004) Loss 1.1689 (1.4649) Prec@1 73.438 (66.332) Prec@5 89.062 (85.573) Epoch: [62][690/10010] Time 0.334 (0.328) Data 0.001 (0.004) Loss 1.5077 (1.4645) Prec@1 65.625 (66.320) Prec@5 83.594 (85.569) Epoch: [62][700/10010] Time 0.339 (0.328) Data 0.000 (0.004) Loss 1.5259 (1.4649) Prec@1 64.844 (66.313) Prec@5 84.375 (85.563) Epoch: [62][710/10010] Time 0.335 (0.328) Data 0.001 (0.004) Loss 1.3866 (1.4626) Prec@1 67.188 (66.350) Prec@5 89.062 (85.600) Epoch: [62][720/10010] Time 0.328 (0.328) Data 0.000 (0.004) Loss 1.5359 (1.4621) Prec@1 67.188 (66.390) Prec@5 82.812 (85.593) Epoch: [62][730/10010] Time 0.319 (0.328) Data 0.001 (0.004) Loss 1.3967 (1.4615) Prec@1 64.062 (66.382) Prec@5 85.156 (85.608) Epoch: [62][740/10010] Time 0.324 (0.328) Data 0.001 (0.004) Loss 1.2932 (1.4621) Prec@1 70.312 (66.375) Prec@5 86.719 (85.592) Epoch: [62][750/10010] Time 0.324 (0.328) Data 0.001 (0.004) Loss 1.6522 (1.4625) Prec@1 60.938 (66.350) Prec@5 82.812 (85.591) Epoch: [62][760/10010] Time 0.322 (0.328) Data 0.001 (0.004) Loss 1.3725 (1.4612) Prec@1 67.188 (66.365) Prec@5 85.938 (85.604) Epoch: [62][770/10010] Time 0.330 (0.328) Data 0.000 (0.004) Loss 1.6934 (1.4609) Prec@1 63.281 (66.374) Prec@5 85.938 (85.614) Epoch: [62][780/10010] Time 0.322 (0.328) Data 0.001 (0.004) Loss 1.4262 (1.4616) Prec@1 69.531 (66.355) Prec@5 85.938 (85.599) Epoch: [62][790/10010] Time 0.314 (0.328) Data 0.001 (0.004) Loss 1.6282 (1.4616) Prec@1 63.281 (66.334) Prec@5 81.250 (85.597) Epoch: [62][800/10010] Time 0.315 (0.328) Data 0.001 (0.003) Loss 1.3366 (1.4627) Prec@1 64.844 (66.299) Prec@5 89.844 (85.583) Epoch: [62][810/10010] Time 0.316 (0.328) Data 0.001 (0.003) Loss 1.4855 (1.4618) Prec@1 65.625 (66.307) Prec@5 86.719 (85.599) Epoch: [62][820/10010] Time 0.317 (0.327) Data 0.001 (0.003) Loss 1.3231 (1.4620) Prec@1 68.750 (66.309) Prec@5 86.719 (85.598) Epoch: [62][830/10010] Time 0.315 (0.327) Data 0.001 (0.003) Loss 1.6546 (1.4623) Prec@1 60.938 (66.304) Prec@5 78.906 (85.584) Epoch: [62][840/10010] Time 0.335 (0.327) Data 0.000 (0.003) Loss 1.4961 (1.4620) Prec@1 64.844 (66.296) Prec@5 86.719 (85.595) Epoch: [62][850/10010] Time 0.312 (0.327) Data 0.001 (0.003) Loss 1.4431 (1.4621) Prec@1 69.531 (66.311) Prec@5 86.719 (85.597) Epoch: [62][860/10010] Time 0.317 (0.327) Data 0.000 (0.003) Loss 1.4569 (1.4612) Prec@1 60.938 (66.306) Prec@5 84.375 (85.615) Epoch: [62][870/10010] Time 0.331 (0.327) Data 0.001 (0.003) Loss 1.5670 (1.4618) Prec@1 64.062 (66.279) Prec@5 85.938 (85.595) Epoch: [62][880/10010] Time 0.331 (0.327) Data 0.001 (0.003) Loss 1.7932 (1.4620) Prec@1 62.500 (66.287) Prec@5 82.031 (85.593) Epoch: [62][890/10010] Time 0.321 (0.327) Data 0.001 (0.003) Loss 1.3428 (1.4609) Prec@1 67.969 (66.311) Prec@5 86.719 (85.608) Epoch: [62][900/10010] Time 0.340 (0.327) Data 0.001 (0.003) Loss 1.5486 (1.4610) Prec@1 64.062 (66.304) Prec@5 87.500 (85.605) Epoch: [62][910/10010] Time 0.313 (0.327) Data 0.001 (0.003) Loss 1.3501 (1.4601) Prec@1 65.625 (66.311) Prec@5 89.062 (85.624) Epoch: [62][920/10010] Time 0.342 (0.327) Data 0.001 (0.003) Loss 1.4414 (1.4596) Prec@1 67.969 (66.318) Prec@5 86.719 (85.644) Epoch: [62][930/10010] Time 0.323 (0.327) Data 0.000 (0.003) Loss 1.4517 (1.4593) Prec@1 67.188 (66.317) Prec@5 88.281 (85.635) Epoch: [62][940/10010] Time 0.321 (0.327) Data 0.000 (0.003) Loss 1.3109 (1.4598) Prec@1 68.750 (66.317) Prec@5 88.281 (85.629) Epoch: [62][950/10010] Time 0.329 (0.327) Data 0.001 (0.003) Loss 1.2946 (1.4598) Prec@1 68.750 (66.315) Prec@5 86.719 (85.630) Epoch: [62][960/10010] Time 0.313 (0.327) Data 0.001 (0.003) Loss 1.2011 (1.4590) Prec@1 69.531 (66.325) Prec@5 92.188 (85.647) Epoch: [62][970/10010] Time 0.314 (0.327) Data 0.001 (0.003) Loss 1.4494 (1.4592) Prec@1 63.281 (66.325) Prec@5 86.719 (85.645) Epoch: [62][980/10010] Time 0.319 (0.327) Data 0.000 (0.003) Loss 1.4643 (1.4597) Prec@1 60.938 (66.327) Prec@5 83.594 (85.630) Epoch: [62][990/10010] Time 0.330 (0.327) Data 0.001 (0.003) Loss 1.4743 (1.4596) Prec@1 65.625 (66.329) Prec@5 85.938 (85.639) Epoch: [62][1000/10010] Time 0.314 (0.327) Data 0.001 (0.003) Loss 1.9977 (1.4608) Prec@1 59.375 (66.300) Prec@5 78.125 (85.620) Epoch: [62][1010/10010] Time 0.335 (0.327) Data 0.001 (0.003) Loss 1.7619 (1.4606) Prec@1 64.844 (66.314) Prec@5 80.469 (85.621) Epoch: [62][1020/10010] Time 0.331 (0.327) Data 0.001 (0.003) Loss 1.3435 (1.4599) Prec@1 67.969 (66.311) Prec@5 86.719 (85.638) Epoch: [62][1030/10010] Time 0.332 (0.327) Data 0.001 (0.003) Loss 1.2614 (1.4588) Prec@1 66.406 (66.337) Prec@5 89.844 (85.657) Epoch: [62][1040/10010] Time 0.334 (0.327) Data 0.000 (0.003) Loss 1.6578 (1.4596) Prec@1 64.062 (66.322) Prec@5 82.031 (85.651) Epoch: [62][1050/10010] Time 0.313 (0.327) Data 0.001 (0.003) Loss 1.3575 (1.4594) Prec@1 67.969 (66.328) Prec@5 85.938 (85.648) Epoch: [62][1060/10010] Time 0.316 (0.327) Data 0.001 (0.003) Loss 1.2079 (1.4593) Prec@1 67.969 (66.327) Prec@5 90.625 (85.658) Epoch: [62][1070/10010] Time 0.336 (0.326) Data 0.001 (0.003) Loss 1.5687 (1.4589) Prec@1 66.406 (66.337) Prec@5 80.469 (85.657) Epoch: [62][1080/10010] Time 0.325 (0.326) Data 0.000 (0.003) Loss 1.3629 (1.4586) Prec@1 67.188 (66.346) Prec@5 85.938 (85.663) Epoch: [62][1090/10010] Time 0.340 (0.326) Data 0.001 (0.003) Loss 1.2821 (1.4576) Prec@1 71.875 (66.366) Prec@5 85.938 (85.678) Epoch: [62][1100/10010] Time 0.334 (0.326) Data 0.001 (0.003) Loss 1.4793 (1.4574) Prec@1 61.719 (66.355) Prec@5 82.031 (85.679) Epoch: [62][1110/10010] Time 0.323 (0.326) Data 0.001 (0.003) Loss 1.5492 (1.4574) Prec@1 67.188 (66.346) Prec@5 84.375 (85.675) Epoch: [62][1120/10010] Time 0.331 (0.326) Data 0.000 (0.003) Loss 1.5907 (1.4585) Prec@1 64.844 (66.335) Prec@5 87.500 (85.664) Epoch: [62][1130/10010] Time 0.328 (0.326) Data 0.001 (0.003) Loss 1.4364 (1.4580) Prec@1 69.531 (66.347) Prec@5 87.500 (85.678) Epoch: [62][1140/10010] Time 0.324 (0.326) Data 0.001 (0.003) Loss 1.5001 (1.4581) Prec@1 62.500 (66.356) Prec@5 83.594 (85.672) Epoch: [62][1150/10010] Time 0.321 (0.326) Data 0.001 (0.003) Loss 1.5176 (1.4577) Prec@1 66.406 (66.361) Prec@5 84.375 (85.674) Epoch: [62][1160/10010] Time 0.321 (0.326) Data 0.000 (0.003) Loss 1.4290 (1.4582) Prec@1 64.062 (66.353) Prec@5 86.719 (85.668) Epoch: [62][1170/10010] Time 0.328 (0.326) Data 0.001 (0.003) Loss 1.5093 (1.4584) Prec@1 67.969 (66.352) Prec@5 84.375 (85.669) Epoch: [62][1180/10010] Time 0.327 (0.326) Data 0.001 (0.003) Loss 1.6587 (1.4586) Prec@1 64.062 (66.357) Prec@5 82.031 (85.662) Epoch: [62][1190/10010] Time 0.322 (0.326) Data 0.001 (0.003) Loss 1.7255 (1.4589) Prec@1 59.375 (66.344) Prec@5 79.688 (85.662) Epoch: [62][1200/10010] Time 0.327 (0.326) Data 0.000 (0.003) Loss 1.4245 (1.4591) Prec@1 68.750 (66.343) Prec@5 88.281 (85.660) Epoch: [62][1210/10010] Time 0.318 (0.326) Data 0.000 (0.003) Loss 1.6644 (1.4586) Prec@1 60.156 (66.344) Prec@5 85.156 (85.661) Epoch: [62][1220/10010] Time 0.325 (0.326) Data 0.001 (0.003) Loss 1.5216 (1.4592) Prec@1 66.406 (66.333) Prec@5 86.719 (85.654) Epoch: [62][1230/10010] Time 0.333 (0.326) Data 0.001 (0.002) Loss 1.2703 (1.4587) Prec@1 71.875 (66.358) Prec@5 89.844 (85.661) Epoch: [62][1240/10010] Time 0.324 (0.326) Data 0.000 (0.002) Loss 1.2200 (1.4582) Prec@1 71.094 (66.375) Prec@5 88.281 (85.672) Epoch: [62][1250/10010] Time 0.320 (0.326) Data 0.000 (0.002) Loss 1.3104 (1.4575) Prec@1 67.969 (66.381) Prec@5 88.281 (85.671) Epoch: [62][1260/10010] Time 0.315 (0.326) Data 0.001 (0.002) Loss 1.3045 (1.4571) Prec@1 70.312 (66.377) Prec@5 88.281 (85.677) Epoch: [62][1270/10010] Time 0.310 (0.326) Data 0.001 (0.002) Loss 1.2650 (1.4571) Prec@1 74.219 (66.380) Prec@5 86.719 (85.673) Epoch: [62][1280/10010] Time 0.335 (0.326) Data 0.001 (0.002) Loss 1.6718 (1.4571) Prec@1 59.375 (66.375) Prec@5 83.594 (85.670) Epoch: [62][1290/10010] Time 0.334 (0.326) Data 0.001 (0.002) Loss 1.4080 (1.4573) Prec@1 67.969 (66.375) Prec@5 83.594 (85.667) Epoch: [62][1300/10010] Time 0.339 (0.326) Data 0.001 (0.002) Loss 1.5325 (1.4569) Prec@1 67.969 (66.392) Prec@5 87.500 (85.670) Epoch: [62][1310/10010] Time 0.316 (0.326) Data 0.001 (0.002) Loss 1.2781 (1.4574) Prec@1 66.406 (66.375) Prec@5 88.281 (85.662) Epoch: [62][1320/10010] Time 0.317 (0.326) Data 0.000 (0.002) Loss 1.5065 (1.4580) Prec@1 61.719 (66.353) Prec@5 88.281 (85.649) Epoch: [62][1330/10010] Time 0.323 (0.326) Data 0.001 (0.002) Loss 1.3489 (1.4583) Prec@1 63.281 (66.350) Prec@5 89.844 (85.646) Epoch: [62][1340/10010] Time 0.323 (0.326) Data 0.000 (0.002) Loss 1.1936 (1.4573) Prec@1 67.969 (66.371) Prec@5 91.406 (85.667) Epoch: [62][1350/10010] Time 0.327 (0.326) Data 0.000 (0.002) Loss 1.2526 (1.4570) Prec@1 68.750 (66.376) Prec@5 85.938 (85.673) Epoch: [62][1360/10010] Time 0.328 (0.326) Data 0.001 (0.002) Loss 1.3422 (1.4571) Prec@1 65.625 (66.365) Prec@5 85.938 (85.676) Epoch: [62][1370/10010] Time 0.313 (0.326) Data 0.001 (0.002) Loss 1.2509 (1.4566) Prec@1 71.094 (66.375) Prec@5 86.719 (85.681) Epoch: [62][1380/10010] Time 0.334 (0.326) Data 0.001 (0.002) Loss 1.4189 (1.4564) Prec@1 67.188 (66.382) Prec@5 87.500 (85.689) Epoch: [62][1390/10010] Time 0.322 (0.326) Data 0.001 (0.002) Loss 1.4324 (1.4562) Prec@1 64.844 (66.381) Prec@5 83.594 (85.690) Epoch: [62][1400/10010] Time 0.325 (0.326) Data 0.001 (0.002) Loss 1.7801 (1.4563) Prec@1 59.375 (66.377) Prec@5 82.031 (85.684) Epoch: [62][1410/10010] Time 0.333 (0.326) Data 0.001 (0.002) Loss 1.4159 (1.4563) Prec@1 67.969 (66.381) Prec@5 83.594 (85.679) Epoch: [62][1420/10010] Time 0.319 (0.326) Data 0.001 (0.002) Loss 1.5456 (1.4563) Prec@1 64.062 (66.377) Prec@5 85.938 (85.682) Epoch: [62][1430/10010] Time 0.333 (0.326) Data 0.001 (0.002) Loss 1.6889 (1.4563) Prec@1 67.969 (66.385) Prec@5 78.125 (85.677) Epoch: [62][1440/10010] Time 0.309 (0.326) Data 0.000 (0.002) Loss 1.2286 (1.4559) Prec@1 72.656 (66.396) Prec@5 87.500 (85.683) Epoch: [62][1450/10010] Time 0.323 (0.326) Data 0.001 (0.002) Loss 1.5659 (1.4564) Prec@1 64.844 (66.396) Prec@5 85.156 (85.679) Epoch: [62][1460/10010] Time 0.323 (0.326) Data 0.000 (0.002) Loss 1.5466 (1.4566) Prec@1 61.719 (66.386) Prec@5 85.938 (85.676) Epoch: [62][1470/10010] Time 0.321 (0.326) Data 0.001 (0.002) Loss 1.3774 (1.4561) Prec@1 66.406 (66.391) Prec@5 84.375 (85.680) Epoch: [62][1480/10010] Time 0.325 (0.326) Data 0.001 (0.002) Loss 1.3544 (1.4559) Prec@1 68.750 (66.394) Prec@5 87.500 (85.684) Epoch: [62][1490/10010] Time 0.319 (0.326) Data 0.001 (0.002) Loss 1.5547 (1.4557) Prec@1 64.062 (66.401) Prec@5 81.250 (85.688) Epoch: [62][1500/10010] Time 0.328 (0.326) Data 0.000 (0.002) Loss 1.5804 (1.4560) Prec@1 66.406 (66.397) Prec@5 84.375 (85.691) Epoch: [62][1510/10010] Time 0.327 (0.326) Data 0.000 (0.002) Loss 1.7073 (1.4562) Prec@1 57.031 (66.380) Prec@5 82.031 (85.683) Epoch: [62][1520/10010] Time 0.335 (0.326) Data 0.000 (0.002) Loss 1.4496 (1.4555) Prec@1 67.969 (66.392) Prec@5 84.375 (85.690) Epoch: [62][1530/10010] Time 0.321 (0.326) Data 0.001 (0.002) Loss 1.4045 (1.4553) Prec@1 64.062 (66.400) Prec@5 88.281 (85.687) Epoch: [62][1540/10010] Time 0.327 (0.326) Data 0.001 (0.002) Loss 1.4627 (1.4554) Prec@1 67.188 (66.396) Prec@5 87.500 (85.688) Epoch: [62][1550/10010] Time 0.312 (0.326) Data 0.001 (0.002) Loss 1.6429 (1.4553) Prec@1 67.969 (66.386) Prec@5 82.812 (85.689) Epoch: [62][1560/10010] Time 0.333 (0.326) Data 0.001 (0.002) Loss 1.3153 (1.4548) Prec@1 67.969 (66.398) Prec@5 88.281 (85.701) Epoch: [62][1570/10010] Time 0.338 (0.326) Data 0.000 (0.002) Loss 1.6317 (1.4547) Prec@1 60.156 (66.394) Prec@5 82.812 (85.707) Epoch: [62][1580/10010] Time 0.333 (0.326) Data 0.001 (0.002) Loss 1.4427 (1.4550) Prec@1 60.938 (66.382) Prec@5 86.719 (85.701) Epoch: [62][1590/10010] Time 0.333 (0.326) Data 0.001 (0.002) Loss 1.3985 (1.4553) Prec@1 67.188 (66.389) Prec@5 82.812 (85.696) Epoch: [62][1600/10010] Time 0.311 (0.326) Data 0.001 (0.002) Loss 1.3049 (1.4555) Prec@1 67.969 (66.389) Prec@5 88.281 (85.696) Epoch: [62][1610/10010] Time 0.328 (0.326) Data 0.001 (0.002) Loss 1.4687 (1.4550) Prec@1 64.062 (66.397) Prec@5 81.250 (85.701) Epoch: [62][1620/10010] Time 0.305 (0.326) Data 0.001 (0.002) Loss 1.3959 (1.4552) Prec@1 67.969 (66.400) Prec@5 83.594 (85.692) Epoch: [62][1630/10010] Time 0.326 (0.326) Data 0.001 (0.002) Loss 1.5386 (1.4554) Prec@1 65.625 (66.389) Prec@5 82.031 (85.681) Epoch: [62][1640/10010] Time 0.326 (0.326) Data 0.001 (0.002) Loss 1.3230 (1.4549) Prec@1 68.750 (66.398) Prec@5 86.719 (85.686) Epoch: [62][1650/10010] Time 0.317 (0.326) Data 0.000 (0.002) Loss 1.3044 (1.4540) Prec@1 66.406 (66.411) Prec@5 86.719 (85.698) Epoch: [62][1660/10010] Time 0.335 (0.326) Data 0.000 (0.002) Loss 1.6043 (1.4546) Prec@1 63.281 (66.397) Prec@5 82.812 (85.692) Epoch: [62][1670/10010] Time 0.333 (0.326) Data 0.001 (0.002) Loss 1.3923 (1.4543) Prec@1 70.312 (66.407) Prec@5 87.500 (85.697) Epoch: [62][1680/10010] Time 0.330 (0.326) Data 0.001 (0.002) Loss 1.4097 (1.4541) Prec@1 64.844 (66.408) Prec@5 85.156 (85.701) Epoch: [62][1690/10010] Time 0.321 (0.326) Data 0.000 (0.002) Loss 1.3404 (1.4539) Prec@1 67.969 (66.414) Prec@5 86.719 (85.709) Epoch: [62][1700/10010] Time 0.315 (0.326) Data 0.001 (0.002) Loss 1.1022 (1.4531) Prec@1 71.094 (66.433) Prec@5 91.406 (85.717) Epoch: [62][1710/10010] Time 0.322 (0.326) Data 0.001 (0.002) Loss 1.4294 (1.4532) Prec@1 68.750 (66.429) Prec@5 83.594 (85.712) Epoch: [62][1720/10010] Time 0.310 (0.326) Data 0.001 (0.002) Loss 1.6090 (1.4530) Prec@1 63.281 (66.435) Prec@5 82.812 (85.715) Epoch: [62][1730/10010] Time 0.312 (0.326) Data 0.001 (0.002) Loss 1.2228 (1.4525) Prec@1 71.875 (66.450) Prec@5 87.500 (85.722) Epoch: [62][1740/10010] Time 0.312 (0.326) Data 0.001 (0.002) Loss 1.6625 (1.4532) Prec@1 53.906 (66.428) Prec@5 81.250 (85.706) Epoch: [62][1750/10010] Time 0.339 (0.326) Data 0.001 (0.002) Loss 1.3484 (1.4535) Prec@1 71.094 (66.438) Prec@5 85.938 (85.695) Epoch: [62][1760/10010] Time 0.333 (0.326) Data 0.001 (0.002) Loss 1.2865 (1.4536) Prec@1 73.438 (66.438) Prec@5 90.625 (85.693) Epoch: [62][1770/10010] Time 0.328 (0.326) Data 0.001 (0.002) Loss 1.0872 (1.4532) Prec@1 71.875 (66.446) Prec@5 91.406 (85.701) Epoch: [62][1780/10010] Time 0.319 (0.326) Data 0.001 (0.002) Loss 1.4379 (1.4530) Prec@1 67.969 (66.454) Prec@5 85.938 (85.702) Epoch: [62][1790/10010] Time 0.335 (0.326) Data 0.001 (0.002) Loss 1.7355 (1.4531) Prec@1 58.594 (66.442) Prec@5 80.469 (85.699) Epoch: [62][1800/10010] Time 0.325 (0.326) Data 0.001 (0.002) Loss 1.6549 (1.4533) Prec@1 61.719 (66.443) Prec@5 83.594 (85.696) Epoch: [62][1810/10010] Time 0.317 (0.326) Data 0.001 (0.002) Loss 1.2973 (1.4534) Prec@1 71.875 (66.446) Prec@5 87.500 (85.698) Epoch: [62][1820/10010] Time 0.309 (0.326) Data 0.001 (0.002) Loss 1.4483 (1.4535) Prec@1 67.188 (66.446) Prec@5 85.938 (85.692) Epoch: [62][1830/10010] Time 0.315 (0.326) Data 0.001 (0.002) Loss 1.1945 (1.4536) Prec@1 71.875 (66.447) Prec@5 87.500 (85.687) Epoch: [62][1840/10010] Time 0.316 (0.326) Data 0.001 (0.002) Loss 1.5513 (1.4538) Prec@1 68.750 (66.442) Prec@5 82.031 (85.682) Epoch: [62][1850/10010] Time 0.320 (0.326) Data 0.001 (0.002) Loss 1.6056 (1.4538) Prec@1 68.750 (66.448) Prec@5 83.594 (85.685) Epoch: [62][1860/10010] Time 0.313 (0.326) Data 0.001 (0.002) Loss 1.5761 (1.4540) Prec@1 63.281 (66.443) Prec@5 81.250 (85.684) Epoch: [62][1870/10010] Time 0.336 (0.326) Data 0.001 (0.002) Loss 2.0866 (1.4546) Prec@1 59.375 (66.430) Prec@5 73.438 (85.669) Epoch: [62][1880/10010] Time 0.308 (0.326) Data 0.001 (0.002) Loss 1.5152 (1.4545) Prec@1 60.938 (66.427) Prec@5 86.719 (85.672) Epoch: [62][1890/10010] Time 0.330 (0.326) Data 0.001 (0.002) Loss 1.7782 (1.4550) Prec@1 64.844 (66.416) Prec@5 81.250 (85.663) Epoch: [62][1900/10010] Time 0.321 (0.326) Data 0.000 (0.002) Loss 1.4902 (1.4554) Prec@1 67.188 (66.409) Prec@5 88.281 (85.659) Epoch: [62][1910/10010] Time 0.332 (0.326) Data 0.001 (0.002) Loss 1.4164 (1.4550) Prec@1 64.844 (66.419) Prec@5 86.719 (85.662) Epoch: [62][1920/10010] Time 0.316 (0.326) Data 0.001 (0.002) Loss 1.4061 (1.4548) Prec@1 65.625 (66.418) Prec@5 85.938 (85.669) Epoch: [62][1930/10010] Time 0.336 (0.326) Data 0.001 (0.002) Loss 1.3749 (1.4548) Prec@1 64.062 (66.421) Prec@5 86.719 (85.664) Epoch: [62][1940/10010] Time 0.319 (0.326) Data 0.001 (0.002) Loss 1.4567 (1.4547) Prec@1 67.188 (66.427) Prec@5 82.031 (85.665) Epoch: [62][1950/10010] Time 0.335 (0.326) Data 0.001 (0.002) Loss 1.5918 (1.4546) Prec@1 66.406 (66.425) Prec@5 84.375 (85.666) Epoch: [62][1960/10010] Time 0.341 (0.326) Data 0.000 (0.002) Loss 1.4286 (1.4550) Prec@1 68.750 (66.419) Prec@5 83.594 (85.660) Epoch: [62][1970/10010] Time 0.327 (0.326) Data 0.000 (0.002) Loss 1.8770 (1.4551) Prec@1 57.812 (66.414) Prec@5 80.469 (85.656) Epoch: [62][1980/10010] Time 0.313 (0.326) Data 0.001 (0.002) Loss 1.5240 (1.4546) Prec@1 67.188 (66.435) Prec@5 83.594 (85.663) Epoch: [62][1990/10010] Time 0.318 (0.326) Data 0.001 (0.002) Loss 1.3313 (1.4546) Prec@1 69.531 (66.444) Prec@5 88.281 (85.663) Epoch: [62][2000/10010] Time 0.328 (0.326) Data 0.000 (0.002) Loss 1.4046 (1.4545) Prec@1 65.625 (66.448) Prec@5 85.156 (85.668) Epoch: [62][2010/10010] Time 0.313 (0.326) Data 0.001 (0.002) Loss 1.5365 (1.4544) Prec@1 61.719 (66.449) Prec@5 84.375 (85.668) Epoch: [62][2020/10010] Time 0.325 (0.326) Data 0.001 (0.002) Loss 1.6494 (1.4545) Prec@1 65.625 (66.442) Prec@5 80.469 (85.667) Epoch: [62][2030/10010] Time 0.323 (0.326) Data 0.000 (0.002) Loss 1.5319 (1.4546) Prec@1 64.062 (66.435) Prec@5 82.031 (85.668) Epoch: [62][2040/10010] Time 0.317 (0.326) Data 0.000 (0.002) Loss 1.6485 (1.4552) Prec@1 64.844 (66.428) Prec@5 82.812 (85.662) Epoch: [62][2050/10010] Time 0.314 (0.326) Data 0.001 (0.002) Loss 1.5177 (1.4554) Prec@1 60.938 (66.425) Prec@5 85.938 (85.657) Epoch: [62][2060/10010] Time 0.321 (0.326) Data 0.001 (0.002) Loss 1.4269 (1.4553) Prec@1 65.625 (66.429) Prec@5 89.062 (85.656) Epoch: [62][2070/10010] Time 0.317 (0.326) Data 0.001 (0.002) Loss 1.5086 (1.4554) Prec@1 65.625 (66.427) Prec@5 85.156 (85.653) Epoch: [62][2080/10010] Time 0.321 (0.326) Data 0.001 (0.002) Loss 1.5433 (1.4553) Prec@1 62.500 (66.422) Prec@5 86.719 (85.657) Epoch: [62][2090/10010] Time 0.315 (0.326) Data 0.001 (0.002) Loss 1.7363 (1.4552) Prec@1 60.156 (66.422) Prec@5 83.594 (85.662) Epoch: [62][2100/10010] Time 0.321 (0.326) Data 0.001 (0.002) Loss 1.5159 (1.4550) Prec@1 66.406 (66.430) Prec@5 85.938 (85.667) Epoch: [62][2110/10010] Time 0.332 (0.326) Data 0.001 (0.002) Loss 1.4162 (1.4549) Prec@1 66.406 (66.431) Prec@5 88.281 (85.671) Epoch: [62][2120/10010] Time 0.329 (0.326) Data 0.001 (0.002) Loss 1.5733 (1.4548) Prec@1 64.062 (66.433) Prec@5 84.375 (85.674) Epoch: [62][2130/10010] Time 0.321 (0.326) Data 0.001 (0.002) Loss 1.3973 (1.4551) Prec@1 65.625 (66.419) Prec@5 85.938 (85.673) Epoch: [62][2140/10010] Time 0.331 (0.326) Data 0.001 (0.002) Loss 1.5304 (1.4549) Prec@1 65.625 (66.431) Prec@5 83.594 (85.676) Epoch: [62][2150/10010] Time 0.325 (0.326) Data 0.001 (0.002) Loss 1.5488 (1.4549) Prec@1 65.625 (66.431) Prec@5 81.250 (85.677) Epoch: [62][2160/10010] Time 0.327 (0.326) Data 0.001 (0.002) Loss 1.2788 (1.4548) Prec@1 63.281 (66.439) Prec@5 92.969 (85.676) Epoch: [62][2170/10010] Time 0.333 (0.326) Data 0.001 (0.002) Loss 1.2500 (1.4548) Prec@1 68.750 (66.440) Prec@5 89.844 (85.678) Epoch: [62][2180/10010] Time 0.325 (0.326) Data 0.001 (0.002) Loss 1.6651 (1.4549) Prec@1 67.969 (66.447) Prec@5 82.031 (85.678) Epoch: [62][2190/10010] Time 0.333 (0.326) Data 0.000 (0.002) Loss 1.3855 (1.4548) Prec@1 70.312 (66.447) Prec@5 87.500 (85.682) Epoch: [62][2200/10010] Time 0.336 (0.326) Data 0.001 (0.002) Loss 1.2559 (1.4548) Prec@1 70.312 (66.452) Prec@5 87.500 (85.678) Epoch: [62][2210/10010] Time 0.315 (0.326) Data 0.001 (0.002) Loss 1.6036 (1.4541) Prec@1 61.719 (66.465) Prec@5 85.156 (85.687) Epoch: [62][2220/10010] Time 0.329 (0.326) Data 0.000 (0.002) Loss 1.3966 (1.4542) Prec@1 67.969 (66.467) Prec@5 88.281 (85.682) Epoch: [62][2230/10010] Time 0.325 (0.326) Data 0.001 (0.002) Loss 1.2674 (1.4542) Prec@1 71.094 (66.469) Prec@5 88.281 (85.679) Epoch: [62][2240/10010] Time 0.316 (0.326) Data 0.001 (0.002) Loss 1.2340 (1.4541) Prec@1 67.969 (66.475) Prec@5 91.406 (85.683) Epoch: [62][2250/10010] Time 0.327 (0.326) Data 0.001 (0.002) Loss 1.1832 (1.4543) Prec@1 71.094 (66.476) Prec@5 92.188 (85.680) Epoch: [62][2260/10010] Time 0.331 (0.326) Data 0.001 (0.002) Loss 1.4037 (1.4540) Prec@1 69.531 (66.484) Prec@5 84.375 (85.686) Epoch: [62][2270/10010] Time 0.317 (0.326) Data 0.000 (0.002) Loss 1.4828 (1.4538) Prec@1 64.062 (66.482) Prec@5 84.375 (85.689) Epoch: [62][2280/10010] Time 0.340 (0.326) Data 0.000 (0.002) Loss 1.3045 (1.4536) Prec@1 70.312 (66.481) Prec@5 87.500 (85.688) Epoch: [62][2290/10010] Time 0.314 (0.326) Data 0.001 (0.002) Loss 1.3198 (1.4536) Prec@1 68.750 (66.488) Prec@5 86.719 (85.688) Epoch: [62][2300/10010] Time 0.329 (0.326) Data 0.001 (0.002) Loss 1.7831 (1.4539) Prec@1 57.812 (66.477) Prec@5 78.906 (85.683) Epoch: [62][2310/10010] Time 0.334 (0.326) Data 0.001 (0.002) Loss 1.2949 (1.4537) Prec@1 69.531 (66.483) Prec@5 85.938 (85.683) Epoch: [62][2320/10010] Time 0.320 (0.326) Data 0.001 (0.002) Loss 1.1013 (1.4537) Prec@1 74.219 (66.486) Prec@5 92.188 (85.683) Epoch: [62][2330/10010] Time 0.319 (0.326) Data 0.000 (0.002) Loss 1.6909 (1.4540) Prec@1 59.375 (66.482) Prec@5 82.812 (85.674) Epoch: [62][2340/10010] Time 0.328 (0.326) Data 0.001 (0.002) Loss 1.4263 (1.4541) Prec@1 69.531 (66.477) Prec@5 85.156 (85.672) Epoch: [62][2350/10010] Time 0.332 (0.326) Data 0.001 (0.002) Loss 1.3177 (1.4541) Prec@1 64.062 (66.477) Prec@5 85.156 (85.669) Epoch: [62][2360/10010] Time 0.318 (0.326) Data 0.001 (0.002) Loss 1.5298 (1.4540) Prec@1 67.969 (66.479) Prec@5 86.719 (85.671) Epoch: [62][2370/10010] Time 0.319 (0.326) Data 0.001 (0.002) Loss 1.2924 (1.4536) Prec@1 73.438 (66.486) Prec@5 87.500 (85.675) Epoch: [62][2380/10010] Time 0.321 (0.326) Data 0.001 (0.002) Loss 1.3665 (1.4538) Prec@1 67.188 (66.489) Prec@5 86.719 (85.672) /data/vision/torralba/deepscene/lib/anaconda2/lib/python2.7/site-packages/PIL/TiffImagePlugin.py:692: UserWarning: Possibly corrupt EXIF data. Expecting to read 2555904 bytes but only got 0. Skipping tag 0 "Skipping tag %s" % (size, len(data), tag)) Epoch: [62][2390/10010] Time 0.317 (0.326) Data 0.000 (0.002) Loss 1.6237 (1.4537) Prec@1 64.062 (66.493) Prec@5 82.031 (85.673) Epoch: [62][2400/10010] Time 0.336 (0.326) Data 0.001 (0.002) Loss 1.5829 (1.4537) Prec@1 67.969 (66.494) Prec@5 80.469 (85.671) Epoch: [62][2410/10010] Time 0.324 (0.326) Data 0.001 (0.002) Loss 2.0342 (1.4543) Prec@1 58.594 (66.489) Prec@5 76.562 (85.661) Epoch: [62][2420/10010] Time 0.337 (0.326) Data 0.001 (0.002) Loss 1.7471 (1.4546) Prec@1 62.500 (66.481) Prec@5 81.250 (85.655) Epoch: [62][2430/10010] Time 0.321 (0.326) Data 0.001 (0.002) Loss 1.3849 (1.4548) Prec@1 67.188 (66.477) Prec@5 86.719 (85.655) Epoch: [62][2440/10010] Time 0.316 (0.326) Data 0.000 (0.002) Loss 1.3896 (1.4546) Prec@1 69.531 (66.481) Prec@5 89.062 (85.658) Epoch: [62][2450/10010] Time 0.314 (0.326) Data 0.001 (0.002) Loss 1.7709 (1.4547) Prec@1 63.281 (66.477) Prec@5 81.250 (85.659) Epoch: [62][2460/10010] Time 0.316 (0.326) Data 0.001 (0.002) Loss 1.1977 (1.4546) Prec@1 71.875 (66.478) Prec@5 90.625 (85.660) Epoch: [62][2470/10010] Time 0.341 (0.326) Data 0.001 (0.002) Loss 1.9463 (1.4547) Prec@1 57.031 (66.476) Prec@5 75.000 (85.658) Epoch: [62][2480/10010] Time 0.337 (0.326) Data 0.001 (0.002) Loss 0.9742 (1.4543) Prec@1 75.781 (66.484) Prec@5 95.312 (85.665) Epoch: [62][2490/10010] Time 0.332 (0.326) Data 0.000 (0.002) Loss 1.5161 (1.4547) Prec@1 68.750 (66.480) Prec@5 83.594 (85.657) Epoch: [62][2500/10010] Time 0.342 (0.326) Data 0.001 (0.002) Loss 1.4111 (1.4549) Prec@1 64.844 (66.474) Prec@5 85.938 (85.656) Epoch: [62][2510/10010] Time 0.321 (0.326) Data 0.001 (0.002) Loss 1.3310 (1.4547) Prec@1 65.625 (66.473) Prec@5 88.281 (85.661) Epoch: [62][2520/10010] Time 0.320 (0.326) Data 0.000 (0.002) Loss 1.5016 (1.4550) Prec@1 68.750 (66.469) Prec@5 83.594 (85.656) Epoch: [62][2530/10010] Time 0.324 (0.326) Data 0.001 (0.002) Loss 1.3779 (1.4550) Prec@1 68.750 (66.465) Prec@5 89.062 (85.654) Epoch: [62][2540/10010] Time 0.314 (0.326) Data 0.001 (0.002) Loss 1.7297 (1.4550) Prec@1 55.469 (66.464) Prec@5 83.594 (85.655) Epoch: [62][2550/10010] Time 0.335 (0.326) Data 0.001 (0.002) Loss 1.1898 (1.4547) Prec@1 74.219 (66.465) Prec@5 90.625 (85.661) Epoch: [62][2560/10010] Time 0.315 (0.326) Data 0.001 (0.002) Loss 1.6142 (1.4548) Prec@1 66.406 (66.465) Prec@5 83.594 (85.660) Epoch: [62][2570/10010] Time 0.337 (0.326) Data 0.000 (0.002) Loss 1.3337 (1.4548) Prec@1 68.750 (66.465) Prec@5 89.844 (85.661) Epoch: [62][2580/10010] Time 0.337 (0.326) Data 0.000 (0.002) Loss 1.3115 (1.4547) Prec@1 66.406 (66.469) Prec@5 85.156 (85.664) Epoch: [62][2590/10010] Time 0.316 (0.326) Data 0.000 (0.002) Loss 1.4081 (1.4546) Prec@1 65.625 (66.471) Prec@5 87.500 (85.664) Epoch: [62][2600/10010] Time 0.314 (0.326) Data 0.001 (0.002) Loss 1.2162 (1.4545) Prec@1 71.875 (66.478) Prec@5 90.625 (85.668) Epoch: [62][2610/10010] Time 0.320 (0.326) Data 0.001 (0.002) Loss 1.4954 (1.4543) Prec@1 67.188 (66.488) Prec@5 83.594 (85.670) Epoch: [62][2620/10010] Time 0.327 (0.326) Data 0.001 (0.002) Loss 1.6192 (1.4541) Prec@1 59.375 (66.497) Prec@5 82.812 (85.673) /data/vision/torralba/deepscene/lib/anaconda2/lib/python2.7/site-packages/PIL/TiffImagePlugin.py:692: UserWarning: Possibly corrupt EXIF data. Expecting to read 2555904 bytes but only got 0. Skipping tag 0 "Skipping tag %s" % (size, len(data), tag)) Epoch: [62][2630/10010] Time 0.320 (0.326) Data 0.001 (0.002) Loss 1.1746 (1.4538) Prec@1 69.531 (66.502) Prec@5 88.281 (85.680) Epoch: [62][2640/10010] Time 0.320 (0.326) Data 0.001 (0.002) Loss 1.2357 (1.4537) Prec@1 70.312 (66.508) Prec@5 90.625 (85.681) Epoch: [62][2650/10010] Time 0.337 (0.326) Data 0.000 (0.002) Loss 1.5217 (1.4541) Prec@1 61.719 (66.507) Prec@5 85.156 (85.673) Epoch: [62][2660/10010] Time 0.320 (0.326) Data 0.001 (0.002) Loss 1.3780 (1.4538) Prec@1 71.094 (66.515) Prec@5 86.719 (85.679) Epoch: [62][2670/10010] Time 0.318 (0.326) Data 0.000 (0.002) Loss 1.4392 (1.4537) Prec@1 67.188 (66.516) Prec@5 85.156 (85.678) Epoch: [62][2680/10010] Time 0.332 (0.326) Data 0.001 (0.002) Loss 1.4167 (1.4537) Prec@1 67.969 (66.517) Prec@5 85.938 (85.680) Epoch: [62][2690/10010] Time 0.316 (0.326) Data 0.000 (0.002) Loss 1.4520 (1.4538) Prec@1 67.969 (66.511) Prec@5 86.719 (85.680) Epoch: [62][2700/10010] Time 0.315 (0.326) Data 0.001 (0.002) Loss 1.7080 (1.4540) Prec@1 58.594 (66.507) Prec@5 82.812 (85.674) Epoch: [62][2710/10010] Time 0.313 (0.325) Data 0.001 (0.001) Loss 1.5322 (1.4541) Prec@1 63.281 (66.505) Prec@5 85.938 (85.672) Epoch: [62][2720/10010] Time 0.324 (0.325) Data 0.001 (0.001) Loss 1.6902 (1.4546) Prec@1 64.844 (66.497) Prec@5 81.250 (85.661) Epoch: [62][2730/10010] Time 0.338 (0.325) Data 0.000 (0.001) Loss 1.6045 (1.4547) Prec@1 61.719 (66.498) Prec@5 82.812 (85.658) Epoch: [62][2740/10010] Time 0.318 (0.326) Data 0.001 (0.001) Loss 1.3755 (1.4545) Prec@1 71.875 (66.503) Prec@5 87.500 (85.662) Epoch: [62][2750/10010] Time 0.320 (0.326) Data 0.001 (0.001) Loss 1.5044 (1.4544) Prec@1 68.750 (66.505) Prec@5 84.375 (85.669) Epoch: [62][2760/10010] Time 0.316 (0.325) Data 0.000 (0.001) Loss 1.7746 (1.4540) Prec@1 58.594 (66.514) Prec@5 82.031 (85.672) Epoch: [62][2770/10010] Time 0.323 (0.325) Data 0.001 (0.001) Loss 1.6129 (1.4538) Prec@1 62.500 (66.516) Prec@5 81.250 (85.675) Epoch: [62][2780/10010] Time 0.336 (0.326) Data 0.000 (0.001) Loss 1.5291 (1.4539) Prec@1 64.844 (66.513) Prec@5 85.938 (85.672) Epoch: [62][2790/10010] Time 0.335 (0.326) Data 0.000 (0.001) Loss 1.6374 (1.4541) Prec@1 62.500 (66.513) Prec@5 82.031 (85.669) Epoch: [62][2800/10010] Time 0.315 (0.325) Data 0.001 (0.001) Loss 1.6257 (1.4544) Prec@1 61.719 (66.502) Prec@5 84.375 (85.669) Epoch: [62][2810/10010] Time 0.333 (0.326) Data 0.000 (0.001) Loss 1.7058 (1.4545) Prec@1 70.312 (66.505) Prec@5 82.031 (85.665) Epoch: [62][2820/10010] Time 0.338 (0.325) Data 0.001 (0.001) Loss 1.6632 (1.4549) Prec@1 62.500 (66.493) Prec@5 79.688 (85.657) Epoch: [62][2830/10010] Time 0.331 (0.326) Data 0.001 (0.001) Loss 1.6626 (1.4550) Prec@1 64.062 (66.492) Prec@5 83.594 (85.655) Epoch: [62][2840/10010] Time 0.331 (0.326) Data 0.001 (0.001) Loss 1.3661 (1.4550) Prec@1 71.094 (66.492) Prec@5 86.719 (85.653) Epoch: [62][2850/10010] Time 0.326 (0.326) Data 0.001 (0.001) Loss 1.3298 (1.4552) Prec@1 67.188 (66.491) Prec@5 85.156 (85.648) Epoch: [62][2860/10010] Time 0.340 (0.325) Data 0.000 (0.001) Loss 1.5975 (1.4553) Prec@1 67.969 (66.498) Prec@5 80.469 (85.645) Epoch: [62][2870/10010] Time 0.338 (0.326) Data 0.000 (0.001) Loss 1.0637 (1.4552) Prec@1 72.656 (66.501) Prec@5 92.188 (85.647) Epoch: [62][2880/10010] Time 0.314 (0.326) Data 0.000 (0.001) Loss 1.3280 (1.4548) Prec@1 69.531 (66.511) Prec@5 88.281 (85.654) Epoch: [62][2890/10010] Time 0.319 (0.325) Data 0.001 (0.001) Loss 1.5544 (1.4552) Prec@1 57.812 (66.502) Prec@5 84.375 (85.649) Epoch: [62][2900/10010] Time 0.310 (0.326) Data 0.001 (0.001) Loss 1.4825 (1.4553) Prec@1 66.406 (66.496) Prec@5 85.156 (85.646) Epoch: [62][2910/10010] Time 0.331 (0.326) Data 0.001 (0.001) Loss 1.3785 (1.4551) Prec@1 71.875 (66.498) Prec@5 86.719 (85.650) Epoch: [62][2920/10010] Time 0.313 (0.326) Data 0.001 (0.001) Loss 1.5053 (1.4552) Prec@1 68.750 (66.493) Prec@5 84.375 (85.647) Epoch: [62][2930/10010] Time 0.319 (0.326) Data 0.001 (0.001) Loss 1.4636 (1.4551) Prec@1 64.062 (66.497) Prec@5 85.156 (85.649) Epoch: [62][2940/10010] Time 0.322 (0.326) Data 0.000 (0.001) Loss 1.1386 (1.4548) Prec@1 68.750 (66.508) Prec@5 92.969 (85.653) Epoch: [62][2950/10010] Time 0.314 (0.325) Data 0.001 (0.001) Loss 1.4673 (1.4548) Prec@1 67.188 (66.510) Prec@5 88.281 (85.656) Epoch: [62][2960/10010] Time 0.313 (0.326) Data 0.001 (0.001) Loss 1.3872 (1.4549) Prec@1 64.062 (66.513) Prec@5 89.844 (85.655) Epoch: [62][2970/10010] Time 0.318 (0.325) Data 0.000 (0.001) Loss 1.2964 (1.4548) Prec@1 66.406 (66.514) Prec@5 91.406 (85.657) Epoch: [62][2980/10010] Time 0.338 (0.326) Data 0.001 (0.001) Loss 1.4434 (1.4546) Prec@1 67.969 (66.516) Prec@5 86.719 (85.658) Epoch: [62][2990/10010] Time 0.314 (0.326) Data 0.000 (0.001) Loss 2.0805 (1.4551) Prec@1 59.375 (66.513) Prec@5 75.000 (85.650) Epoch: [62][3000/10010] Time 0.338 (0.326) Data 0.001 (0.001) Loss 1.5953 (1.4553) Prec@1 60.938 (66.508) Prec@5 85.938 (85.645) Epoch: [62][3010/10010] Time 0.340 (0.326) Data 0.000 (0.001) Loss 1.2888 (1.4553) Prec@1 69.531 (66.510) Prec@5 90.625 (85.647) Epoch: [62][3020/10010] Time 0.314 (0.326) Data 0.001 (0.001) Loss 1.5265 (1.4556) Prec@1 64.062 (66.505) Prec@5 83.594 (85.642) Epoch: [62][3030/10010] Time 0.339 (0.326) Data 0.001 (0.001) Loss 1.7054 (1.4557) Prec@1 58.594 (66.501) Prec@5 78.125 (85.635) Epoch: [62][3040/10010] Time 0.317 (0.326) Data 0.001 (0.001) Loss 1.6489 (1.4556) Prec@1 67.188 (66.504) Prec@5 83.594 (85.634) Epoch: [62][3050/10010] Time 0.334 (0.326) Data 0.001 (0.001) Loss 1.3556 (1.4558) Prec@1 70.312 (66.504) Prec@5 85.938 (85.630) Epoch: [62][3060/10010] Time 0.337 (0.326) Data 0.001 (0.001) Loss 1.6701 (1.4559) Prec@1 64.062 (66.505) Prec@5 85.156 (85.627) Epoch: [62][3070/10010] Time 0.341 (0.326) Data 0.001 (0.001) Loss 1.4676 (1.4560) Prec@1 62.500 (66.498) Prec@5 85.938 (85.626) Epoch: [62][3080/10010] Time 0.316 (0.326) Data 0.001 (0.001) Loss 1.5594 (1.4558) Prec@1 66.406 (66.505) Prec@5 84.375 (85.629) Epoch: [62][3090/10010] Time 0.324 (0.326) Data 0.000 (0.001) Loss 1.3203 (1.4558) Prec@1 71.875 (66.506) Prec@5 86.719 (85.627) Epoch: [62][3100/10010] Time 0.339 (0.326) Data 0.001 (0.001) Loss 1.2525 (1.4554) Prec@1 68.750 (66.513) Prec@5 89.062 (85.632) Epoch: [62][3110/10010] Time 0.332 (0.326) Data 0.001 (0.001) Loss 1.4013 (1.4554) Prec@1 68.750 (66.511) Prec@5 87.500 (85.633) Epoch: [62][3120/10010] Time 0.311 (0.326) Data 0.001 (0.001) Loss 1.3891 (1.4555) Prec@1 68.750 (66.506) Prec@5 84.375 (85.626) Epoch: [62][3130/10010] Time 0.332 (0.326) Data 0.001 (0.001) Loss 1.6101 (1.4554) Prec@1 61.719 (66.508) Prec@5 85.938 (85.628) Epoch: [62][3140/10010] Time 0.320 (0.326) Data 0.001 (0.001) Loss 1.6301 (1.4555) Prec@1 61.719 (66.505) Prec@5 82.031 (85.623) Epoch: [62][3150/10010] Time 0.337 (0.326) Data 0.001 (0.001) Loss 1.4829 (1.4553) Prec@1 64.062 (66.512) Prec@5 84.375 (85.623) Epoch: [62][3160/10010] Time 0.321 (0.326) Data 0.001 (0.001) Loss 1.4969 (1.4552) Prec@1 60.156 (66.510) Prec@5 85.156 (85.628) /data/vision/torralba/deepscene/lib/anaconda2/lib/python2.7/site-packages/PIL/TiffImagePlugin.py:709: UserWarning: Corrupt EXIF data. Expecting to read 4 bytes but only got 0. warnings.warn(str(msg)) Epoch: [62][3170/10010] Time 0.319 (0.326) Data 0.000 (0.001) Loss 1.2502 (1.4551) Prec@1 71.875 (66.508) Prec@5 87.500 (85.628) Epoch: [62][3180/10010] Time 0.328 (0.326) Data 0.001 (0.001) Loss 1.2416 (1.4552) Prec@1 67.969 (66.510) Prec@5 90.625 (85.629) Epoch: [62][3190/10010] Time 0.340 (0.326) Data 0.000 (0.001) Loss 1.4302 (1.4551) Prec@1 67.188 (66.507) Prec@5 87.500 (85.628) Epoch: [62][3200/10010] Time 0.332 (0.326) Data 0.001 (0.001) Loss 1.2500 (1.4549) Prec@1 74.219 (66.516) Prec@5 89.062 (85.627) Epoch: [62][3210/10010] Time 0.321 (0.326) Data 0.001 (0.001) Loss 1.3646 (1.4551) Prec@1 71.094 (66.516) Prec@5 85.938 (85.624) Epoch: [62][3220/10010] Time 0.319 (0.326) Data 0.001 (0.001) Loss 1.2279 (1.4550) Prec@1 69.531 (66.520) Prec@5 88.281 (85.623) Epoch: [62][3230/10010] Time 0.320 (0.326) Data 0.001 (0.001) Loss 1.5407 (1.4551) Prec@1 64.844 (66.520) Prec@5 83.594 (85.623) Epoch: [62][3240/10010] Time 0.321 (0.326) Data 0.001 (0.001) Loss 1.2701 (1.4549) Prec@1 71.094 (66.521) Prec@5 85.156 (85.624) Epoch: [62][3250/10010] Time 0.325 (0.326) Data 0.001 (0.001) Loss 1.7181 (1.4551) Prec@1 64.062 (66.515) Prec@5 82.812 (85.619) Epoch: [62][3260/10010] Time 0.330 (0.326) Data 0.001 (0.001) Loss 1.7267 (1.4553) Prec@1 60.156 (66.510) Prec@5 82.031 (85.615) Epoch: [62][3270/10010] Time 0.319 (0.326) Data 0.001 (0.001) Loss 1.5538 (1.4554) Prec@1 70.312 (66.509) Prec@5 85.938 (85.616) Epoch: [62][3280/10010] Time 0.325 (0.326) Data 0.000 (0.001) Loss 1.3773 (1.4556) Prec@1 71.875 (66.504) Prec@5 89.062 (85.614) Epoch: [62][3290/10010] Time 0.322 (0.326) Data 0.001 (0.001) Loss 1.7675 (1.4557) Prec@1 62.500 (66.501) Prec@5 83.594 (85.613) Epoch: [62][3300/10010] Time 0.327 (0.326) Data 0.001 (0.001) Loss 1.5161 (1.4559) Prec@1 66.406 (66.500) Prec@5 82.812 (85.608) Epoch: [62][3310/10010] Time 0.322 (0.326) Data 0.001 (0.001) Loss 1.6896 (1.4560) Prec@1 60.156 (66.503) Prec@5 82.031 (85.605) Epoch: [62][3320/10010] Time 0.322 (0.326) Data 0.000 (0.001) Loss 1.4731 (1.4560) Prec@1 65.625 (66.498) Prec@5 87.500 (85.604) Epoch: [62][3330/10010] Time 0.315 (0.326) Data 0.001 (0.001) Loss 1.4217 (1.4559) Prec@1 67.969 (66.502) Prec@5 83.594 (85.604) Epoch: [62][3340/10010] Time 0.319 (0.326) Data 0.001 (0.001) Loss 1.5467 (1.4561) Prec@1 68.750 (66.498) Prec@5 82.031 (85.602) Epoch: [62][3350/10010] Time 0.331 (0.326) Data 0.000 (0.001) Loss 1.1974 (1.4560) Prec@1 68.750 (66.496) Prec@5 89.844 (85.602) Epoch: [62][3360/10010] Time 0.313 (0.325) Data 0.000 (0.001) Loss 1.2857 (1.4556) Prec@1 69.531 (66.504) Prec@5 89.062 (85.607) Epoch: [62][3370/10010] Time 0.320 (0.325) Data 0.001 (0.001) Loss 1.3807 (1.4554) Prec@1 67.969 (66.504) Prec@5 85.938 (85.611) Epoch: [62][3380/10010] Time 0.330 (0.325) Data 0.001 (0.001) Loss 1.5149 (1.4553) Prec@1 64.062 (66.504) Prec@5 85.938 (85.612) Epoch: [62][3390/10010] Time 0.333 (0.325) Data 0.001 (0.001) Loss 1.3541 (1.4552) Prec@1 73.438 (66.506) Prec@5 84.375 (85.611) Epoch: [62][3400/10010] Time 0.330 (0.325) Data 0.000 (0.001) Loss 1.3930 (1.4552) Prec@1 63.281 (66.508) Prec@5 86.719 (85.609) Epoch: [62][3410/10010] Time 0.310 (0.327) Data 0.001 (0.001) Loss 1.2784 (1.4549) Prec@1 69.531 (66.516) Prec@5 90.625 (85.616) Epoch: [62][3420/10010] Time 0.313 (0.327) Data 0.001 (0.001) Loss 1.4184 (1.4549) Prec@1 67.188 (66.512) Prec@5 85.156 (85.621) Epoch: [62][3430/10010] Time 0.317 (0.327) Data 0.001 (0.001) Loss 1.4686 (1.4550) Prec@1 69.531 (66.513) Prec@5 84.375 (85.615) Epoch: [62][3440/10010] Time 0.312 (0.327) Data 0.001 (0.001) Loss 1.6140 (1.4552) Prec@1 64.844 (66.512) Prec@5 82.031 (85.608) Epoch: [62][3450/10010] Time 0.323 (0.327) Data 0.001 (0.001) Loss 1.6265 (1.4555) Prec@1 64.062 (66.504) Prec@5 81.250 (85.604) Epoch: [62][3460/10010] Time 0.312 (0.327) Data 0.001 (0.001) Loss 1.5041 (1.4553) Prec@1 64.844 (66.508) Prec@5 84.375 (85.605) Epoch: [62][3470/10010] Time 0.317 (0.327) Data 0.001 (0.001) Loss 1.2866 (1.4550) Prec@1 67.969 (66.511) Prec@5 87.500 (85.609) Epoch: [62][3480/10010] Time 0.342 (0.327) Data 0.001 (0.001) Loss 1.1697 (1.4551) Prec@1 76.562 (66.507) Prec@5 88.281 (85.609) Epoch: [62][3490/10010] Time 0.317 (0.327) Data 0.000 (0.001) Loss 1.4625 (1.4552) Prec@1 65.625 (66.502) Prec@5 82.812 (85.611) Epoch: [62][3500/10010] Time 0.336 (0.327) Data 0.000 (0.001) Loss 1.1974 (1.4551) Prec@1 68.750 (66.498) Prec@5 87.500 (85.612) Epoch: [62][3510/10010] Time 0.332 (0.327) Data 0.001 (0.001) Loss 1.5124 (1.4553) Prec@1 70.312 (66.497) Prec@5 84.375 (85.610) Epoch: [62][3520/10010] Time 0.309 (0.327) Data 0.001 (0.001) Loss 1.2749 (1.4553) Prec@1 70.312 (66.496) Prec@5 83.594 (85.607) Epoch: [62][3530/10010] Time 0.317 (0.327) Data 0.000 (0.001) Loss 1.7314 (1.4557) Prec@1 59.375 (66.489) Prec@5 83.594 (85.600) Epoch: [62][3540/10010] Time 0.319 (0.327) Data 0.001 (0.001) Loss 1.4082 (1.4559) Prec@1 70.312 (66.486) Prec@5 85.156 (85.598) Epoch: [62][3550/10010] Time 0.342 (0.327) Data 0.001 (0.001) Loss 1.3957 (1.4556) Prec@1 72.656 (66.494) Prec@5 85.156 (85.600) Epoch: [62][3560/10010] Time 0.310 (0.327) Data 0.001 (0.001) Loss 1.4753 (1.4557) Prec@1 66.406 (66.492) Prec@5 85.156 (85.599) Epoch: [62][3570/10010] Time 0.318 (0.327) Data 0.001 (0.001) Loss 1.4025 (1.4558) Prec@1 67.969 (66.492) Prec@5 87.500 (85.599) Epoch: [62][3580/10010] Time 0.313 (0.327) Data 0.001 (0.001) Loss 1.3870 (1.4558) Prec@1 67.969 (66.498) Prec@5 85.938 (85.598) Epoch: [62][3590/10010] Time 0.334 (0.327) Data 0.001 (0.001) Loss 1.5370 (1.4558) Prec@1 65.625 (66.499) Prec@5 87.500 (85.599) Epoch: [62][3600/10010] Time 0.315 (0.327) Data 0.001 (0.001) Loss 1.4820 (1.4559) Prec@1 67.969 (66.500) Prec@5 85.938 (85.599) Epoch: [62][3610/10010] Time 0.327 (0.327) Data 0.000 (0.001) Loss 1.3875 (1.4560) Prec@1 66.406 (66.500) Prec@5 89.062 (85.596) Epoch: [62][3620/10010] Time 0.335 (0.327) Data 0.001 (0.001) Loss 1.6277 (1.4559) Prec@1 63.281 (66.503) Prec@5 82.031 (85.597) Epoch: [62][3630/10010] Time 0.335 (0.327) Data 0.001 (0.001) Loss 1.3483 (1.4556) Prec@1 65.625 (66.507) Prec@5 89.062 (85.604) Epoch: [62][3640/10010] Time 0.311 (0.327) Data 0.001 (0.001) Loss 1.2622 (1.4554) Prec@1 71.875 (66.511) Prec@5 87.500 (85.606) Epoch: [62][3650/10010] Time 0.328 (0.327) Data 0.000 (0.001) Loss 1.2342 (1.4556) Prec@1 67.969 (66.504) Prec@5 89.844 (85.605) Epoch: [62][3660/10010] Time 0.341 (0.327) Data 0.001 (0.001) Loss 1.5274 (1.4556) Prec@1 61.719 (66.505) Prec@5 87.500 (85.606) Epoch: [62][3670/10010] Time 0.314 (0.327) Data 0.001 (0.001) Loss 1.3031 (1.4556) Prec@1 71.094 (66.508) Prec@5 90.625 (85.608) Epoch: [62][3680/10010] Time 0.342 (0.327) Data 0.001 (0.001) Loss 1.6986 (1.4556) Prec@1 60.938 (66.508) Prec@5 84.375 (85.611) Epoch: [62][3690/10010] Time 0.319 (0.327) Data 0.001 (0.001) Loss 1.4953 (1.4556) Prec@1 63.281 (66.508) Prec@5 85.156 (85.610) Epoch: [62][3700/10010] Time 0.322 (0.327) Data 0.001 (0.001) Loss 1.4492 (1.4555) Prec@1 63.281 (66.508) Prec@5 82.812 (85.615) Epoch: [62][3710/10010] Time 0.314 (0.327) Data 0.001 (0.001) Loss 1.5318 (1.4555) Prec@1 68.750 (66.509) Prec@5 85.938 (85.615) Epoch: [62][3720/10010] Time 0.320 (0.327) Data 0.001 (0.001) Loss 1.2737 (1.4556) Prec@1 67.188 (66.503) Prec@5 89.062 (85.613) Epoch: [62][3730/10010] Time 0.320 (0.327) Data 0.000 (0.001) Loss 1.7158 (1.4557) Prec@1 63.281 (66.503) Prec@5 82.031 (85.611) Epoch: [62][3740/10010] Time 0.315 (0.327) Data 0.001 (0.001) Loss 1.8170 (1.4558) Prec@1 59.375 (66.498) Prec@5 81.250 (85.611) Epoch: [62][3750/10010] Time 0.318 (0.327) Data 0.001 (0.001) Loss 0.8268 (1.4556) Prec@1 78.906 (66.504) Prec@5 96.094 (85.618) Epoch: [62][3760/10010] Time 0.320 (0.327) Data 0.001 (0.001) Loss 1.3991 (1.4556) Prec@1 71.094 (66.506) Prec@5 85.156 (85.617) Epoch: [62][3770/10010] Time 0.321 (0.327) Data 0.000 (0.001) Loss 1.3549 (1.4552) Prec@1 65.625 (66.510) Prec@5 89.844 (85.625) Epoch: [62][3780/10010] Time 0.312 (0.327) Data 0.001 (0.001) Loss 1.6257 (1.4554) Prec@1 64.062 (66.503) Prec@5 82.031 (85.620) Epoch: [62][3790/10010] Time 0.319 (0.327) Data 0.000 (0.001) Loss 1.6944 (1.4554) Prec@1 60.938 (66.500) Prec@5 78.125 (85.617) Epoch: [62][3800/10010] Time 0.333 (0.327) Data 0.001 (0.001) Loss 1.4065 (1.4554) Prec@1 62.500 (66.496) Prec@5 86.719 (85.619) Epoch: [62][3810/10010] Time 0.332 (0.327) Data 0.001 (0.001) Loss 1.7122 (1.4557) Prec@1 64.062 (66.489) Prec@5 81.250 (85.615) Epoch: [62][3820/10010] Time 0.339 (0.327) Data 0.001 (0.001) Loss 1.5547 (1.4557) Prec@1 64.062 (66.486) Prec@5 82.031 (85.615) Epoch: [62][3830/10010] Time 0.323 (0.327) Data 0.001 (0.001) Loss 1.4928 (1.4555) Prec@1 69.531 (66.494) Prec@5 83.594 (85.616) Epoch: [62][3840/10010] Time 0.335 (0.327) Data 0.000 (0.001) Loss 1.3744 (1.4556) Prec@1 67.969 (66.491) Prec@5 84.375 (85.614) Epoch: [62][3850/10010] Time 0.321 (0.327) Data 0.001 (0.001) Loss 1.4999 (1.4553) Prec@1 64.062 (66.496) Prec@5 84.375 (85.621) Epoch: [62][3860/10010] Time 0.319 (0.327) Data 0.001 (0.001) Loss 1.4146 (1.4553) Prec@1 68.750 (66.498) Prec@5 86.719 (85.621) Epoch: [62][3870/10010] Time 0.317 (0.327) Data 0.001 (0.001) Loss 1.4657 (1.4549) Prec@1 65.625 (66.506) Prec@5 84.375 (85.624) Epoch: [62][3880/10010] Time 0.324 (0.327) Data 0.000 (0.001) Loss 1.4715 (1.4548) Prec@1 62.500 (66.506) Prec@5 86.719 (85.626) Epoch: [62][3890/10010] Time 0.339 (0.327) Data 0.000 (0.001) Loss 1.8185 (1.4549) Prec@1 62.500 (66.508) Prec@5 84.375 (85.626) Epoch: [62][3900/10010] Time 0.322 (0.327) Data 0.000 (0.001) Loss 1.3373 (1.4548) Prec@1 65.625 (66.511) Prec@5 89.844 (85.626) Epoch: [62][3910/10010] Time 0.317 (0.327) Data 0.000 (0.001) Loss 1.5407 (1.4547) Prec@1 64.062 (66.513) Prec@5 85.156 (85.631) Epoch: [62][3920/10010] Time 0.318 (0.326) Data 0.000 (0.001) Loss 1.5040 (1.4546) Prec@1 64.844 (66.513) Prec@5 85.156 (85.630) Epoch: [62][3930/10010] Time 0.335 (0.326) Data 0.001 (0.001) Loss 1.5411 (1.4547) Prec@1 67.188 (66.509) Prec@5 85.938 (85.628) Epoch: [62][3940/10010] Time 0.320 (0.326) Data 0.001 (0.001) Loss 1.6836 (1.4546) Prec@1 64.062 (66.514) Prec@5 82.031 (85.629) Epoch: [62][3950/10010] Time 0.316 (0.326) Data 0.001 (0.001) Loss 1.5597 (1.4546) Prec@1 64.844 (66.513) Prec@5 85.156 (85.631) Epoch: [62][3960/10010] Time 0.317 (0.326) Data 0.001 (0.001) Loss 1.5771 (1.4546) Prec@1 59.375 (66.511) Prec@5 88.281 (85.630) Epoch: [62][3970/10010] Time 0.334 (0.326) Data 0.000 (0.001) Loss 1.1839 (1.4544) Prec@1 74.219 (66.517) Prec@5 90.625 (85.635) Epoch: [62][3980/10010] Time 0.317 (0.326) Data 0.001 (0.001) Loss 1.3869 (1.4542) Prec@1 68.750 (66.523) Prec@5 85.156 (85.636) Epoch: [62][3990/10010] Time 0.333 (0.326) Data 0.000 (0.001) Loss 1.6400 (1.4545) Prec@1 65.625 (66.519) Prec@5 80.469 (85.629) Epoch: [62][4000/10010] Time 0.336 (0.326) Data 0.000 (0.001) Loss 1.7404 (1.4546) Prec@1 60.156 (66.518) Prec@5 80.469 (85.628) Epoch: [62][4010/10010] Time 0.323 (0.326) Data 0.000 (0.001) Loss 1.5866 (1.4548) Prec@1 63.281 (66.515) Prec@5 79.688 (85.624) Epoch: [62][4020/10010] Time 0.331 (0.326) Data 0.000 (0.001) Loss 1.1240 (1.4549) Prec@1 75.781 (66.512) Prec@5 94.531 (85.622) Epoch: [62][4030/10010] Time 0.330 (0.326) Data 0.000 (0.001) Loss 1.2813 (1.4550) Prec@1 71.094 (66.512) Prec@5 87.500 (85.623) Epoch: [62][4040/10010] Time 0.329 (0.326) Data 0.000 (0.001) Loss 1.5536 (1.4551) Prec@1 61.719 (66.510) Prec@5 82.031 (85.619) Epoch: [62][4050/10010] Time 0.319 (0.326) Data 0.000 (0.001) Loss 1.4603 (1.4552) Prec@1 69.531 (66.510) Prec@5 87.500 (85.618) Epoch: [62][4060/10010] Time 0.323 (0.326) Data 0.001 (0.001) Loss 1.5238 (1.4552) Prec@1 68.750 (66.510) Prec@5 83.594 (85.616) Epoch: [62][4070/10010] Time 0.321 (0.326) Data 0.001 (0.001) Loss 1.1780 (1.4552) Prec@1 71.875 (66.509) Prec@5 88.281 (85.615) Epoch: [62][4080/10010] Time 0.328 (0.326) Data 0.001 (0.001) Loss 1.4255 (1.4553) Prec@1 64.062 (66.503) Prec@5 84.375 (85.613) Epoch: [62][4090/10010] Time 0.326 (0.326) Data 0.001 (0.001) Loss 1.3601 (1.4555) Prec@1 65.625 (66.501) Prec@5 88.281 (85.609) Epoch: [62][4100/10010] Time 0.328 (0.326) Data 0.001 (0.001) Loss 1.3568 (1.4553) Prec@1 67.188 (66.506) Prec@5 89.062 (85.614) Epoch: [62][4110/10010] Time 0.314 (0.326) Data 0.001 (0.001) Loss 1.5266 (1.4551) Prec@1 64.062 (66.511) Prec@5 82.812 (85.618) /data/vision/torralba/deepscene/lib/anaconda2/lib/python2.7/site-packages/PIL/TiffImagePlugin.py:692: UserWarning: Possibly corrupt EXIF data. Expecting to read 2555904 bytes but only got 0. Skipping tag 0 "Skipping tag %s" % (size, len(data), tag)) Epoch: [62][4120/10010] Time 0.326 (0.326) Data 0.000 (0.001) Loss 1.4797 (1.4551) Prec@1 68.750 (66.514) Prec@5 84.375 (85.621) Epoch: [62][4130/10010] Time 0.319 (0.326) Data 0.001 (0.001) Loss 1.4348 (1.4550) Prec@1 63.281 (66.514) Prec@5 88.281 (85.621) Epoch: [62][4140/10010] Time 0.333 (0.326) Data 0.000 (0.001) Loss 1.3977 (1.4549) Prec@1 68.750 (66.517) Prec@5 87.500 (85.621) Epoch: [62][4150/10010] Time 0.335 (0.326) Data 0.000 (0.001) Loss 1.6464 (1.4549) Prec@1 62.500 (66.516) Prec@5 82.031 (85.622) Epoch: [62][4160/10010] Time 0.326 (0.326) Data 0.000 (0.001) Loss 1.0868 (1.4548) Prec@1 72.656 (66.517) Prec@5 89.062 (85.622) Epoch: [62][4170/10010] Time 0.327 (0.326) Data 0.001 (0.001) Loss 1.7458 (1.4549) Prec@1 64.844 (66.515) Prec@5 80.469 (85.619) Epoch: [62][4180/10010] Time 0.319 (0.326) Data 0.000 (0.001) Loss 1.3903 (1.4551) Prec@1 67.969 (66.514) Prec@5 88.281 (85.617) Epoch: [62][4190/10010] Time 0.330 (0.326) Data 0.001 (0.001) Loss 1.3866 (1.4550) Prec@1 66.406 (66.517) Prec@5 85.156 (85.619) Epoch: [62][4200/10010] Time 0.319 (0.326) Data 0.000 (0.001) Loss 1.5089 (1.4551) Prec@1 65.625 (66.514) Prec@5 82.812 (85.617) Epoch: [62][4210/10010] Time 0.320 (0.326) Data 0.001 (0.001) Loss 1.2686 (1.4552) Prec@1 68.750 (66.511) Prec@5 90.625 (85.615) Epoch: [62][4220/10010] Time 0.313 (0.326) Data 0.001 (0.001) Loss 1.5388 (1.4553) Prec@1 64.062 (66.509) Prec@5 83.594 (85.611) Epoch: [62][4230/10010] Time 0.333 (0.326) Data 0.001 (0.001) Loss 1.3991 (1.4552) Prec@1 67.969 (66.507) Prec@5 85.156 (85.614) Epoch: [62][4240/10010] Time 0.335 (0.326) Data 0.001 (0.001) Loss 1.3328 (1.4551) Prec@1 62.500 (66.510) Prec@5 86.719 (85.614) Epoch: [62][4250/10010] Time 0.318 (0.326) Data 0.000 (0.001) Loss 1.6958 (1.4551) Prec@1 59.375 (66.508) Prec@5 82.812 (85.614) Epoch: [62][4260/10010] Time 0.315 (0.326) Data 0.001 (0.001) Loss 1.5093 (1.4551) Prec@1 67.969 (66.511) Prec@5 87.500 (85.615) Epoch: [62][4270/10010] Time 0.322 (0.326) Data 0.001 (0.001) Loss 1.3203 (1.4550) Prec@1 67.969 (66.512) Prec@5 89.062 (85.618) Epoch: [62][4280/10010] Time 0.319 (0.326) Data 0.000 (0.001) Loss 1.2637 (1.4547) Prec@1 68.750 (66.516) Prec@5 89.062 (85.624) Epoch: [62][4290/10010] Time 0.319 (0.326) Data 0.001 (0.001) Loss 1.6126 (1.4549) Prec@1 60.156 (66.512) Prec@5 79.688 (85.620) Epoch: [62][4300/10010] Time 0.313 (0.326) Data 0.001 (0.001) Loss 1.1969 (1.4546) Prec@1 70.312 (66.517) Prec@5 89.844 (85.625) Epoch: [62][4310/10010] Time 0.320 (0.326) Data 0.001 (0.001) Loss 1.4164 (1.4545) Prec@1 62.500 (66.519) Prec@5 84.375 (85.628) Epoch: [62][4320/10010] Time 0.321 (0.326) Data 0.000 (0.001) Loss 1.5151 (1.4544) Prec@1 67.188 (66.523) Prec@5 82.031 (85.628) Epoch: [62][4330/10010] Time 0.319 (0.326) Data 0.001 (0.001) Loss 1.5078 (1.4545) Prec@1 64.844 (66.524) Prec@5 88.281 (85.627) Epoch: [62][4340/10010] Time 0.327 (0.326) Data 0.000 (0.001) Loss 1.4648 (1.4546) Prec@1 68.750 (66.522) Prec@5 86.719 (85.623) Epoch: [62][4350/10010] Time 0.325 (0.326) Data 0.001 (0.001) Loss 2.0245 (1.4546) Prec@1 50.781 (66.520) Prec@5 77.344 (85.623) Epoch: [62][4360/10010] Time 0.339 (0.326) Data 0.001 (0.001) Loss 1.4697 (1.4546) Prec@1 65.625 (66.521) Prec@5 82.812 (85.622) Epoch: [62][4370/10010] Time 0.317 (0.326) Data 0.001 (0.001) Loss 1.3481 (1.4547) Prec@1 68.750 (66.515) Prec@5 89.062 (85.623) Epoch: [62][4380/10010] Time 0.332 (0.326) Data 0.000 (0.001) Loss 1.3011 (1.4546) Prec@1 64.062 (66.514) Prec@5 86.719 (85.623) Epoch: [62][4390/10010] Time 0.311 (0.326) Data 0.001 (0.001) Loss 1.2930 (1.4545) Prec@1 67.969 (66.514) Prec@5 87.500 (85.626) Epoch: [62][4400/10010] Time 0.339 (0.326) Data 0.001 (0.001) Loss 1.4604 (1.4545) Prec@1 71.875 (66.518) Prec@5 88.281 (85.627) Epoch: [62][4410/10010] Time 0.337 (0.326) Data 0.001 (0.001) Loss 1.3782 (1.4544) Prec@1 67.188 (66.520) Prec@5 88.281 (85.629) Epoch: [62][4420/10010] Time 0.326 (0.326) Data 0.000 (0.001) Loss 1.6919 (1.4544) Prec@1 64.062 (66.522) Prec@5 82.031 (85.630) Epoch: [62][4430/10010] Time 0.333 (0.326) Data 0.003 (0.001) Loss 1.4724 (1.4545) Prec@1 65.625 (66.519) Prec@5 88.281 (85.626) Epoch: [62][4440/10010] Time 0.337 (0.326) Data 0.001 (0.001) Loss 1.7034 (1.4548) Prec@1 59.375 (66.512) Prec@5 82.812 (85.622) Epoch: [62][4450/10010] Time 0.340 (0.326) Data 0.001 (0.001) Loss 1.6214 (1.4550) Prec@1 60.156 (66.505) Prec@5 85.938 (85.619) Epoch: [62][4460/10010] Time 0.319 (0.326) Data 0.001 (0.001) Loss 1.4289 (1.4550) Prec@1 67.188 (66.504) Prec@5 87.500 (85.619) Epoch: [62][4470/10010] Time 0.320 (0.326) Data 0.000 (0.001) Loss 1.5462 (1.4550) Prec@1 67.188 (66.508) Prec@5 84.375 (85.619) Epoch: [62][4480/10010] Time 0.336 (0.326) Data 0.000 (0.001) Loss 1.1757 (1.4549) Prec@1 71.094 (66.508) Prec@5 89.062 (85.621) Epoch: [62][4490/10010] Time 0.330 (0.326) Data 0.001 (0.001) Loss 1.4668 (1.4551) Prec@1 64.844 (66.504) Prec@5 84.375 (85.618) Epoch: [62][4500/10010] Time 0.346 (0.326) Data 0.000 (0.001) Loss 1.4270 (1.4550) Prec@1 68.750 (66.504) Prec@5 83.594 (85.620) Epoch: [62][4510/10010] Time 0.327 (0.326) Data 0.001 (0.001) Loss 1.5386 (1.4550) Prec@1 64.062 (66.504) Prec@5 85.938 (85.623) Epoch: [62][4520/10010] Time 0.318 (0.326) Data 0.000 (0.001) Loss 1.6199 (1.4551) Prec@1 59.375 (66.500) Prec@5 82.812 (85.619) Epoch: [62][4530/10010] Time 0.334 (0.326) Data 0.001 (0.001) Loss 1.5565 (1.4548) Prec@1 67.188 (66.505) Prec@5 84.375 (85.624) Epoch: [62][4540/10010] Time 0.348 (0.326) Data 0.000 (0.001) Loss 1.2873 (1.4547) Prec@1 64.844 (66.503) Prec@5 89.062 (85.626) Epoch: [62][4550/10010] Time 0.321 (0.326) Data 0.001 (0.001) Loss 1.2134 (1.4546) Prec@1 71.094 (66.507) Prec@5 91.406 (85.630) Epoch: [62][4560/10010] Time 0.324 (0.326) Data 0.000 (0.001) Loss 1.5541 (1.4546) Prec@1 67.969 (66.506) Prec@5 84.375 (85.630) Epoch: [62][4570/10010] Time 0.321 (0.326) Data 0.000 (0.001) Loss 1.4166 (1.4545) Prec@1 64.844 (66.509) Prec@5 85.938 (85.630) Epoch: [62][4580/10010] Time 0.332 (0.326) Data 0.001 (0.001) Loss 1.4595 (1.4542) Prec@1 68.750 (66.513) Prec@5 85.938 (85.634) Epoch: [62][4590/10010] Time 0.336 (0.326) Data 0.001 (0.001) Loss 1.5576 (1.4542) Prec@1 67.188 (66.513) Prec@5 81.250 (85.634) Epoch: [62][4600/10010] Time 0.339 (0.326) Data 0.001 (0.001) Loss 1.3038 (1.4543) Prec@1 72.656 (66.506) Prec@5 89.062 (85.632) Epoch: [62][4610/10010] Time 0.327 (0.326) Data 0.000 (0.001) Loss 1.2940 (1.4545) Prec@1 70.312 (66.504) Prec@5 86.719 (85.630) Epoch: [62][4620/10010] Time 0.316 (0.326) Data 0.000 (0.001) Loss 1.5594 (1.4545) Prec@1 64.844 (66.503) Prec@5 83.594 (85.630) Epoch: [62][4630/10010] Time 0.320 (0.326) Data 0.000 (0.001) Loss 1.1937 (1.4545) Prec@1 70.312 (66.500) Prec@5 88.281 (85.628) Epoch: [62][4640/10010] Time 0.318 (0.326) Data 0.001 (0.001) Loss 1.2555 (1.4544) Prec@1 73.438 (66.504) Prec@5 92.188 (85.632) Epoch: [62][4650/10010] Time 0.320 (0.326) Data 0.001 (0.001) Loss 1.1620 (1.4543) Prec@1 74.219 (66.506) Prec@5 89.062 (85.634) Epoch: [62][4660/10010] Time 0.335 (0.326) Data 0.001 (0.001) Loss 1.2735 (1.4541) Prec@1 67.969 (66.509) Prec@5 85.938 (85.636) Epoch: [62][4670/10010] Time 0.322 (0.326) Data 0.001 (0.001) Loss 1.6823 (1.4542) Prec@1 61.719 (66.509) Prec@5 83.594 (85.637) Epoch: [62][4680/10010] Time 0.315 (0.326) Data 0.000 (0.001) Loss 1.5253 (1.4543) Prec@1 67.969 (66.503) Prec@5 86.719 (85.633) Epoch: [62][4690/10010] Time 0.319 (0.326) Data 0.001 (0.001) Loss 1.4248 (1.4544) Prec@1 68.750 (66.502) Prec@5 85.938 (85.631) Epoch: [62][4700/10010] Time 0.318 (0.326) Data 0.001 (0.001) Loss 1.4447 (1.4545) Prec@1 68.750 (66.498) Prec@5 84.375 (85.628) Epoch: [62][4710/10010] Time 0.339 (0.326) Data 0.000 (0.001) Loss 1.5926 (1.4547) Prec@1 64.844 (66.493) Prec@5 82.031 (85.626) Epoch: [62][4720/10010] Time 0.336 (0.326) Data 0.001 (0.001) Loss 1.4171 (1.4549) Prec@1 64.062 (66.491) Prec@5 84.375 (85.622) Epoch: [62][4730/10010] Time 0.338 (0.326) Data 0.001 (0.001) Loss 1.7753 (1.4549) Prec@1 57.812 (66.491) Prec@5 80.469 (85.620) Epoch: [62][4740/10010] Time 0.317 (0.326) Data 0.000 (0.001) Loss 1.5755 (1.4549) Prec@1 62.500 (66.491) Prec@5 83.594 (85.620) /data/vision/torralba/deepscene/lib/anaconda2/lib/python2.7/site-packages/PIL/TiffImagePlugin.py:692: UserWarning: Possibly corrupt EXIF data. Expecting to read 1835008 bytes but only got 0. Skipping tag 0 "Skipping tag %s" % (size, len(data), tag)) Epoch: [62][4750/10010] Time 0.318 (0.326) Data 0.001 (0.001) Loss 1.3628 (1.4550) Prec@1 72.656 (66.489) Prec@5 87.500 (85.618) Epoch: [62][4760/10010] Time 0.321 (0.326) Data 0.001 (0.001) Loss 1.3832 (1.4551) Prec@1 65.625 (66.490) Prec@5 89.844 (85.618) Epoch: [62][4770/10010] Time 0.324 (0.326) Data 0.000 (0.001) Loss 1.4627 (1.4551) Prec@1 72.656 (66.487) Prec@5 85.938 (85.619) Epoch: [62][4780/10010] Time 0.322 (0.326) Data 0.001 (0.001) Loss 1.8056 (1.4551) Prec@1 56.250 (66.487) Prec@5 82.031 (85.618) Epoch: [62][4790/10010] Time 0.334 (0.326) Data 0.000 (0.001) Loss 1.5537 (1.4552) Prec@1 63.281 (66.483) Prec@5 82.812 (85.614) Epoch: [62][4800/10010] Time 0.315 (0.326) Data 0.001 (0.001) Loss 1.4166 (1.4550) Prec@1 71.094 (66.486) Prec@5 83.594 (85.614) Epoch: [62][4810/10010] Time 0.335 (0.326) Data 0.000 (0.001) Loss 1.2881 (1.4549) Prec@1 69.531 (66.490) Prec@5 86.719 (85.614) Epoch: [62][4820/10010] Time 0.322 (0.326) Data 0.000 (0.001) Loss 1.3637 (1.4549) Prec@1 68.750 (66.487) Prec@5 88.281 (85.616) Epoch: [62][4830/10010] Time 0.320 (0.326) Data 0.001 (0.001) Loss 1.4040 (1.4550) Prec@1 68.750 (66.485) Prec@5 86.719 (85.614) Epoch: [62][4840/10010] Time 0.325 (0.326) Data 0.001 (0.001) Loss 1.2896 (1.4551) Prec@1 69.531 (66.480) Prec@5 89.844 (85.615) Epoch: [62][4850/10010] Time 0.317 (0.326) Data 0.001 (0.001) Loss 1.7810 (1.4550) Prec@1 58.594 (66.484) Prec@5 82.812 (85.618) Epoch: [62][4860/10010] Time 0.315 (0.326) Data 0.001 (0.001) Loss 1.4830 (1.4552) Prec@1 61.719 (66.476) Prec@5 84.375 (85.613) Epoch: [62][4870/10010] Time 0.337 (0.326) Data 0.001 (0.001) Loss 1.4977 (1.4555) Prec@1 64.062 (66.471) Prec@5 83.594 (85.610) Epoch: [62][4880/10010] Time 0.310 (0.326) Data 0.001 (0.001) Loss 1.3075 (1.4556) Prec@1 72.656 (66.473) Prec@5 87.500 (85.608) Epoch: [62][4890/10010] Time 0.317 (0.326) Data 0.000 (0.001) Loss 1.4637 (1.4556) Prec@1 60.938 (66.470) Prec@5 88.281 (85.606) Epoch: [62][4900/10010] Time 0.329 (0.326) Data 0.001 (0.001) Loss 1.5905 (1.4556) Prec@1 64.062 (66.472) Prec@5 87.500 (85.607) Epoch: [62][4910/10010] Time 0.322 (0.326) Data 0.000 (0.001) Loss 1.6278 (1.4557) Prec@1 57.812 (66.468) Prec@5 85.156 (85.607) Epoch: [62][4920/10010] Time 0.324 (0.326) Data 0.001 (0.001) Loss 1.5849 (1.4557) Prec@1 67.969 (66.470) Prec@5 83.594 (85.606) Epoch: [62][4930/10010] Time 0.314 (0.326) Data 0.001 (0.001) Loss 1.2739 (1.4558) Prec@1 66.406 (66.466) Prec@5 87.500 (85.606) Epoch: [62][4940/10010] Time 0.333 (0.326) Data 0.001 (0.001) Loss 1.2835 (1.4556) Prec@1 71.094 (66.468) Prec@5 88.281 (85.609) Epoch: [62][4950/10010] Time 0.317 (0.326) Data 0.001 (0.001) Loss 1.6853 (1.4556) Prec@1 62.500 (66.471) Prec@5 81.250 (85.606) Epoch: [62][4960/10010] Time 0.314 (0.326) Data 0.000 (0.001) Loss 1.3528 (1.4554) Prec@1 66.406 (66.473) Prec@5 89.062 (85.609) Epoch: [62][4970/10010] Time 0.324 (0.326) Data 0.001 (0.001) Loss 1.2557 (1.4556) Prec@1 71.094 (66.473) Prec@5 87.500 (85.607) Epoch: [62][4980/10010] Time 0.315 (0.326) Data 0.000 (0.001) Loss 1.8141 (1.4556) Prec@1 57.812 (66.471) Prec@5 79.688 (85.607) Epoch: [62][4990/10010] Time 0.326 (0.326) Data 0.000 (0.001) Loss 1.4690 (1.4555) Prec@1 67.188 (66.477) Prec@5 86.719 (85.610) Epoch: [62][5000/10010] Time 0.320 (0.326) Data 0.001 (0.001) Loss 1.3490 (1.4555) Prec@1 71.094 (66.479) Prec@5 85.938 (85.612) Epoch: [62][5010/10010] Time 0.337 (0.326) Data 0.001 (0.001) Loss 1.6499 (1.4557) Prec@1 64.844 (66.474) Prec@5 82.031 (85.610) Epoch: [62][5020/10010] Time 0.323 (0.326) Data 0.001 (0.001) Loss 1.7231 (1.4557) Prec@1 62.500 (66.476) Prec@5 79.688 (85.611) Epoch: [62][5030/10010] Time 0.314 (0.326) Data 0.001 (0.001) Loss 1.5082 (1.4557) Prec@1 63.281 (66.474) Prec@5 84.375 (85.609) Epoch: [62][5040/10010] Time 0.336 (0.326) Data 0.001 (0.001) Loss 1.6965 (1.4559) Prec@1 65.625 (66.472) Prec@5 81.250 (85.606) Epoch: [62][5050/10010] Time 0.339 (0.326) Data 0.001 (0.001) Loss 1.8844 (1.4562) Prec@1 55.469 (66.468) Prec@5 79.688 (85.601) Epoch: [62][5060/10010] Time 0.335 (0.326) Data 0.000 (0.001) Loss 1.3762 (1.4560) Prec@1 64.844 (66.470) Prec@5 87.500 (85.605) Epoch: [62][5070/10010] Time 0.338 (0.326) Data 0.001 (0.001) Loss 1.5682 (1.4560) Prec@1 58.594 (66.469) Prec@5 86.719 (85.607) Epoch: [62][5080/10010] Time 0.324 (0.326) Data 0.000 (0.001) Loss 1.5813 (1.4561) Prec@1 63.281 (66.465) Prec@5 85.938 (85.606) Epoch: [62][5090/10010] Time 0.336 (0.326) Data 0.000 (0.001) Loss 1.4840 (1.4562) Prec@1 69.531 (66.465) Prec@5 85.938 (85.604) Epoch: [62][5100/10010] Time 0.333 (0.326) Data 0.000 (0.001) Loss 1.5848 (1.4562) Prec@1 61.719 (66.464) Prec@5 82.031 (85.605) Epoch: [62][5110/10010] Time 0.337 (0.326) Data 0.001 (0.001) Loss 1.3703 (1.4562) Prec@1 71.094 (66.459) Prec@5 85.156 (85.607) Epoch: [62][5120/10010] Time 0.323 (0.326) Data 0.001 (0.001) Loss 1.3185 (1.4563) Prec@1 70.312 (66.459) Prec@5 88.281 (85.606) Epoch: [62][5130/10010] Time 0.334 (0.326) Data 0.001 (0.001) Loss 1.4205 (1.4564) Prec@1 66.406 (66.458) Prec@5 85.156 (85.604) Epoch: [62][5140/10010] Time 0.324 (0.326) Data 0.001 (0.001) Loss 1.2236 (1.4564) Prec@1 69.531 (66.456) Prec@5 89.844 (85.603) Epoch: [62][5150/10010] Time 0.320 (0.326) Data 0.000 (0.001) Loss 1.3929 (1.4562) Prec@1 67.188 (66.459) Prec@5 86.719 (85.608) Epoch: [62][5160/10010] Time 0.341 (0.326) Data 0.001 (0.001) Loss 1.6596 (1.4562) Prec@1 67.188 (66.458) Prec@5 82.812 (85.610) Epoch: [62][5170/10010] Time 0.329 (0.326) Data 0.000 (0.001) Loss 1.5563 (1.4561) Prec@1 64.844 (66.460) Prec@5 88.281 (85.611) Epoch: [62][5180/10010] Time 0.324 (0.326) Data 0.000 (0.001) Loss 1.5309 (1.4561) Prec@1 71.094 (66.457) Prec@5 84.375 (85.611) Epoch: [62][5190/10010] Time 0.335 (0.326) Data 0.000 (0.001) Loss 1.2680 (1.4561) Prec@1 70.312 (66.456) Prec@5 86.719 (85.611) Epoch: [62][5200/10010] Time 0.323 (0.326) Data 0.001 (0.001) Loss 1.4093 (1.4562) Prec@1 64.062 (66.454) Prec@5 87.500 (85.610) Epoch: [62][5210/10010] Time 0.337 (0.326) Data 0.001 (0.001) Loss 1.7365 (1.4560) Prec@1 60.156 (66.458) Prec@5 83.594 (85.613) Epoch: [62][5220/10010] Time 0.342 (0.326) Data 0.000 (0.001) Loss 1.3520 (1.4561) Prec@1 68.750 (66.457) Prec@5 88.281 (85.613) Epoch: [62][5230/10010] Time 0.316 (0.326) Data 0.001 (0.001) Loss 1.5275 (1.4560) Prec@1 67.188 (66.456) Prec@5 85.156 (85.614) Epoch: [62][5240/10010] Time 0.326 (0.326) Data 0.001 (0.001) Loss 1.3854 (1.4561) Prec@1 64.062 (66.453) Prec@5 89.062 (85.614) Epoch: [62][5250/10010] Time 0.319 (0.326) Data 0.000 (0.001) Loss 1.5781 (1.4561) Prec@1 65.625 (66.457) Prec@5 85.938 (85.614) Epoch: [62][5260/10010] Time 0.338 (0.326) Data 0.000 (0.001) Loss 1.4426 (1.4561) Prec@1 67.188 (66.459) Prec@5 85.156 (85.615) Epoch: [62][5270/10010] Time 0.319 (0.326) Data 0.001 (0.001) Loss 1.4575 (1.4561) Prec@1 67.969 (66.457) Prec@5 84.375 (85.615) Epoch: [62][5280/10010] Time 0.331 (0.326) Data 0.001 (0.001) Loss 1.2316 (1.4561) Prec@1 70.312 (66.461) Prec@5 89.844 (85.614) Epoch: [62][5290/10010] Time 0.319 (0.326) Data 0.000 (0.001) Loss 1.5603 (1.4562) Prec@1 70.312 (66.461) Prec@5 82.031 (85.613) Epoch: [62][5300/10010] Time 0.323 (0.326) Data 0.000 (0.001) Loss 1.4249 (1.4561) Prec@1 67.969 (66.460) Prec@5 83.594 (85.617) Epoch: [62][5310/10010] Time 0.323 (0.326) Data 0.001 (0.001) Loss 1.4944 (1.4559) Prec@1 67.188 (66.462) Prec@5 85.938 (85.617) Epoch: [62][5320/10010] Time 0.326 (0.326) Data 0.001 (0.001) Loss 1.3850 (1.4558) Prec@1 67.969 (66.465) Prec@5 86.719 (85.619) Epoch: [62][5330/10010] Time 0.313 (0.326) Data 0.001 (0.001) Loss 1.7948 (1.4558) Prec@1 60.156 (66.465) Prec@5 81.250 (85.620) Epoch: [62][5340/10010] Time 0.334 (0.326) Data 0.001 (0.001) Loss 1.5792 (1.4557) Prec@1 62.500 (66.464) Prec@5 85.156 (85.619) Epoch: [62][5350/10010] Time 0.327 (0.326) Data 0.001 (0.001) Loss 1.3142 (1.4557) Prec@1 68.750 (66.464) Prec@5 88.281 (85.618) Epoch: [62][5360/10010] Time 0.329 (0.326) Data 0.000 (0.001) Loss 1.4181 (1.4557) Prec@1 60.938 (66.463) Prec@5 87.500 (85.620) Epoch: [62][5370/10010] Time 0.329 (0.326) Data 0.000 (0.001) Loss 1.5120 (1.4556) Prec@1 64.062 (66.463) Prec@5 82.031 (85.619) Epoch: [62][5380/10010] Time 0.318 (0.326) Data 0.001 (0.001) Loss 1.1886 (1.4556) Prec@1 71.094 (66.464) Prec@5 88.281 (85.618) Epoch: [62][5390/10010] Time 0.333 (0.326) Data 0.001 (0.001) Loss 1.5404 (1.4555) Prec@1 64.844 (66.466) Prec@5 85.156 (85.620) Epoch: [62][5400/10010] Time 0.342 (0.326) Data 0.001 (0.001) Loss 1.4792 (1.4554) Prec@1 63.281 (66.466) Prec@5 86.719 (85.621) Epoch: [62][5410/10010] Time 0.332 (0.326) Data 0.000 (0.001) Loss 1.2461 (1.4554) Prec@1 71.094 (66.466) Prec@5 89.062 (85.622) Epoch: [62][5420/10010] Time 0.325 (0.326) Data 0.000 (0.001) Loss 1.2489 (1.4553) Prec@1 67.969 (66.468) Prec@5 89.844 (85.623) Epoch: [62][5430/10010] Time 0.333 (0.326) Data 0.001 (0.001) Loss 1.2965 (1.4552) Prec@1 67.969 (66.469) Prec@5 87.500 (85.624) Epoch: [62][5440/10010] Time 0.318 (0.326) Data 0.001 (0.001) Loss 1.5713 (1.4552) Prec@1 60.938 (66.468) Prec@5 82.031 (85.625) Epoch: [62][5450/10010] Time 0.331 (0.326) Data 0.001 (0.001) Loss 1.2763 (1.4550) Prec@1 73.438 (66.472) Prec@5 87.500 (85.626) Epoch: [62][5460/10010] Time 0.340 (0.326) Data 0.001 (0.001) Loss 1.7517 (1.4551) Prec@1 61.719 (66.473) Prec@5 75.781 (85.624) Epoch: [62][5470/10010] Time 0.332 (0.326) Data 0.001 (0.001) Loss 1.3525 (1.4550) Prec@1 71.875 (66.477) Prec@5 87.500 (85.625) Epoch: [62][5480/10010] Time 0.334 (0.326) Data 0.001 (0.001) Loss 1.4227 (1.4551) Prec@1 67.969 (66.472) Prec@5 88.281 (85.623) Epoch: [62][5490/10010] Time 0.336 (0.326) Data 0.001 (0.001) Loss 1.7350 (1.4551) Prec@1 61.719 (66.472) Prec@5 85.156 (85.626) Epoch: [62][5500/10010] Time 0.318 (0.326) Data 0.001 (0.001) Loss 1.6363 (1.4551) Prec@1 60.156 (66.470) Prec@5 85.938 (85.626) Epoch: [62][5510/10010] Time 0.317 (0.326) Data 0.000 (0.001) Loss 1.3960 (1.4552) Prec@1 67.188 (66.467) Prec@5 85.156 (85.624) Epoch: [62][5520/10010] Time 0.328 (0.326) Data 0.000 (0.001) Loss 1.0883 (1.4551) Prec@1 73.438 (66.468) Prec@5 89.844 (85.625) Epoch: [62][5530/10010] Time 0.340 (0.326) Data 0.001 (0.001) Loss 1.7166 (1.4552) Prec@1 61.719 (66.469) Prec@5 82.031 (85.625) Epoch: [62][5540/10010] Time 0.329 (0.326) Data 0.001 (0.001) Loss 1.3364 (1.4552) Prec@1 69.531 (66.468) Prec@5 85.156 (85.624) Epoch: [62][5550/10010] Time 0.338 (0.326) Data 0.001 (0.001) Loss 1.4498 (1.4551) Prec@1 66.406 (66.467) Prec@5 83.594 (85.625) Epoch: [62][5560/10010] Time 0.313 (0.326) Data 0.001 (0.001) Loss 1.5046 (1.4551) Prec@1 62.500 (66.466) Prec@5 84.375 (85.624) Epoch: [62][5570/10010] Time 0.316 (0.326) Data 0.001 (0.001) Loss 1.4742 (1.4552) Prec@1 71.094 (66.464) Prec@5 88.281 (85.624) Epoch: [62][5580/10010] Time 0.315 (0.326) Data 0.001 (0.001) Loss 1.2914 (1.4551) Prec@1 68.750 (66.466) Prec@5 82.812 (85.624) Epoch: [62][5590/10010] Time 0.321 (0.326) Data 0.001 (0.001) Loss 1.6728 (1.4550) Prec@1 56.250 (66.466) Prec@5 82.031 (85.628) Epoch: [62][5600/10010] Time 0.324 (0.326) Data 0.001 (0.001) Loss 0.9766 (1.4551) Prec@1 79.688 (66.465) Prec@5 91.406 (85.626) Epoch: [62][5610/10010] Time 0.329 (0.326) Data 0.000 (0.001) Loss 1.1973 (1.4549) Prec@1 69.531 (66.464) Prec@5 93.750 (85.630) Epoch: [62][5620/10010] Time 0.331 (0.326) Data 0.001 (0.001) Loss 1.6430 (1.4549) Prec@1 64.062 (66.468) Prec@5 79.688 (85.631) Epoch: [62][5630/10010] Time 0.333 (0.326) Data 0.000 (0.001) Loss 1.1084 (1.4549) Prec@1 72.656 (66.465) Prec@5 92.969 (85.634) Epoch: [62][5640/10010] Time 0.311 (0.326) Data 0.001 (0.001) Loss 1.5484 (1.4549) Prec@1 59.375 (66.467) Prec@5 85.156 (85.634) Epoch: [62][5650/10010] Time 0.340 (0.326) Data 0.001 (0.001) Loss 1.3776 (1.4549) Prec@1 66.406 (66.464) Prec@5 87.500 (85.634) Epoch: [62][5660/10010] Time 0.329 (0.326) Data 0.001 (0.001) Loss 1.3205 (1.4548) Prec@1 69.531 (66.468) Prec@5 87.500 (85.637) Epoch: [62][5670/10010] Time 0.308 (0.326) Data 0.001 (0.001) Loss 1.4485 (1.4549) Prec@1 63.281 (66.466) Prec@5 89.062 (85.636) Epoch: [62][5680/10010] Time 0.319 (0.326) Data 0.001 (0.001) Loss 1.3976 (1.4548) Prec@1 68.750 (66.467) Prec@5 83.594 (85.637) Epoch: [62][5690/10010] Time 0.340 (0.326) Data 0.000 (0.001) Loss 1.5271 (1.4546) Prec@1 66.406 (66.469) Prec@5 83.594 (85.640) Epoch: [62][5700/10010] Time 0.327 (0.326) Data 0.001 (0.001) Loss 1.4313 (1.4546) Prec@1 64.844 (66.472) Prec@5 85.156 (85.641) Epoch: [62][5710/10010] Time 0.325 (0.326) Data 0.001 (0.001) Loss 1.4948 (1.4547) Prec@1 71.094 (66.471) Prec@5 85.156 (85.638) Epoch: [62][5720/10010] Time 0.318 (0.326) Data 0.000 (0.001) Loss 1.5692 (1.4547) Prec@1 67.969 (66.471) Prec@5 82.812 (85.639) Epoch: [62][5730/10010] Time 0.335 (0.326) Data 0.001 (0.001) Loss 1.4582 (1.4547) Prec@1 62.500 (66.469) Prec@5 86.719 (85.640) Epoch: [62][5740/10010] Time 0.316 (0.326) Data 0.001 (0.001) Loss 1.1994 (1.4547) Prec@1 75.781 (66.473) Prec@5 86.719 (85.641) Epoch: [62][5750/10010] Time 0.316 (0.326) Data 0.001 (0.001) Loss 1.5395 (1.4547) Prec@1 65.625 (66.474) Prec@5 84.375 (85.641) Epoch: [62][5760/10010] Time 0.314 (0.326) Data 0.000 (0.001) Loss 1.4025 (1.4546) Prec@1 70.312 (66.475) Prec@5 85.938 (85.642) Epoch: [62][5770/10010] Time 0.335 (0.326) Data 0.001 (0.001) Loss 1.8302 (1.4546) Prec@1 63.281 (66.476) Prec@5 81.250 (85.642) Epoch: [62][5780/10010] Time 0.323 (0.326) Data 0.000 (0.001) Loss 1.5013 (1.4547) Prec@1 67.188 (66.476) Prec@5 83.594 (85.639) Epoch: [62][5790/10010] Time 0.323 (0.326) Data 0.000 (0.001) Loss 1.2934 (1.4546) Prec@1 67.188 (66.476) Prec@5 87.500 (85.640) Epoch: [62][5800/10010] Time 0.331 (0.326) Data 0.001 (0.001) Loss 1.3807 (1.4546) Prec@1 69.531 (66.477) Prec@5 88.281 (85.640) Epoch: [62][5810/10010] Time 0.308 (0.326) Data 0.001 (0.001) Loss 1.2328 (1.4545) Prec@1 69.531 (66.479) Prec@5 88.281 (85.640) Epoch: [62][5820/10010] Time 0.319 (0.326) Data 0.001 (0.001) Loss 1.3419 (1.4547) Prec@1 69.531 (66.476) Prec@5 89.062 (85.637) Epoch: [62][5830/10010] Time 0.318 (0.326) Data 0.001 (0.001) Loss 1.4733 (1.4548) Prec@1 64.062 (66.476) Prec@5 86.719 (85.636) Epoch: [62][5840/10010] Time 0.341 (0.326) Data 0.001 (0.001) Loss 1.4996 (1.4549) Prec@1 64.844 (66.474) Prec@5 88.281 (85.635) Epoch: [62][5850/10010] Time 0.324 (0.326) Data 0.001 (0.001) Loss 1.3900 (1.4549) Prec@1 67.969 (66.475) Prec@5 89.062 (85.636) Epoch: [62][5860/10010] Time 0.316 (0.326) Data 0.001 (0.001) Loss 1.4155 (1.4549) Prec@1 65.625 (66.474) Prec@5 84.375 (85.634) Epoch: [62][5870/10010] Time 0.325 (0.326) Data 0.001 (0.001) Loss 1.5693 (1.4549) Prec@1 64.062 (66.473) Prec@5 82.031 (85.634) Epoch: [62][5880/10010] Time 0.315 (0.326) Data 0.000 (0.001) Loss 1.3936 (1.4549) Prec@1 67.969 (66.474) Prec@5 85.938 (85.632) Epoch: [62][5890/10010] Time 0.336 (0.326) Data 0.000 (0.001) Loss 1.0814 (1.4549) Prec@1 71.094 (66.474) Prec@5 92.969 (85.631) Epoch: [62][5900/10010] Time 0.329 (0.326) Data 0.001 (0.001) Loss 1.6728 (1.4549) Prec@1 63.281 (66.476) Prec@5 82.031 (85.631) Epoch: [62][5910/10010] Time 0.318 (0.326) Data 0.000 (0.001) Loss 1.6003 (1.4549) Prec@1 68.750 (66.476) Prec@5 80.469 (85.631) Epoch: [62][5920/10010] Time 0.334 (0.326) Data 0.001 (0.001) Loss 1.5210 (1.4547) Prec@1 64.062 (66.476) Prec@5 83.594 (85.633) Epoch: [62][5930/10010] Time 0.318 (0.326) Data 0.001 (0.001) Loss 1.5836 (1.4547) Prec@1 61.719 (66.474) Prec@5 82.812 (85.632) Epoch: [62][5940/10010] Time 0.310 (0.326) Data 0.001 (0.001) Loss 1.3311 (1.4548) Prec@1 66.406 (66.471) Prec@5 87.500 (85.632) Epoch: [62][5950/10010] Time 0.333 (0.326) Data 0.001 (0.001) Loss 1.3948 (1.4549) Prec@1 65.625 (66.469) Prec@5 82.812 (85.632) /data/vision/torralba/deepscene/lib/anaconda2/lib/python2.7/site-packages/PIL/TiffImagePlugin.py:692: UserWarning: Possibly corrupt EXIF data. Expecting to read 19660800 bytes but only got 0. Skipping tag 0 "Skipping tag %s" % (size, len(data), tag)) /data/vision/torralba/deepscene/lib/anaconda2/lib/python2.7/site-packages/PIL/TiffImagePlugin.py:692: UserWarning: Possibly corrupt EXIF data. Expecting to read 18481152 bytes but only got 0. Skipping tag 0 "Skipping tag %s" % (size, len(data), tag)) /data/vision/torralba/deepscene/lib/anaconda2/lib/python2.7/site-packages/PIL/TiffImagePlugin.py:692: UserWarning: Possibly corrupt EXIF data. Expecting to read 37093376 bytes but only got 0. Skipping tag 0 "Skipping tag %s" % (size, len(data), tag)) /data/vision/torralba/deepscene/lib/anaconda2/lib/python2.7/site-packages/PIL/TiffImagePlugin.py:692: UserWarning: Possibly corrupt EXIF data. Expecting to read 39976960 bytes but only got 0. Skipping tag 0 "Skipping tag %s" % (size, len(data), tag)) /data/vision/torralba/deepscene/lib/anaconda2/lib/python2.7/site-packages/PIL/TiffImagePlugin.py:692: UserWarning: Possibly corrupt EXIF data. Expecting to read 34865152 bytes but only got 0. Skipping tag 0 "Skipping tag %s" % (size, len(data), tag)) /data/vision/torralba/deepscene/lib/anaconda2/lib/python2.7/site-packages/PIL/TiffImagePlugin.py:709: UserWarning: Corrupt EXIF data. Expecting to read 12 bytes but only got 10. warnings.warn(str(msg)) Epoch: [62][5960/10010] Time 0.337 (0.326) Data 0.001 (0.001) Loss 1.4546 (1.4549) Prec@1 69.531 (66.473) Prec@5 87.500 (85.633) Epoch: [62][5970/10010] Time 0.323 (0.326) Data 0.000 (0.001) Loss 1.5559 (1.4550) Prec@1 59.375 (66.469) Prec@5 82.031 (85.629) Epoch: [62][5980/10010] Time 0.334 (0.326) Data 0.001 (0.001) Loss 1.7638 (1.4549) Prec@1 60.156 (66.469) Prec@5 81.250 (85.632) Epoch: [62][5990/10010] Time 0.311 (0.326) Data 0.001 (0.001) Loss 1.0435 (1.4549) Prec@1 75.781 (66.469) Prec@5 93.750 (85.634) Epoch: [62][6000/10010] Time 0.341 (0.326) Data 0.000 (0.001) Loss 1.4897 (1.4549) Prec@1 66.406 (66.469) Prec@5 85.938 (85.636) Epoch: [62][6010/10010] Time 0.318 (0.326) Data 0.001 (0.001) Loss 1.3794 (1.4549) Prec@1 67.188 (66.466) Prec@5 85.938 (85.637) Epoch: [62][6020/10010] Time 0.316 (0.326) Data 0.001 (0.001) Loss 1.7215 (1.4550) Prec@1 60.156 (66.465) Prec@5 81.250 (85.636) Epoch: [62][6030/10010] Time 0.339 (0.326) Data 0.000 (0.001) Loss 1.5398 (1.4549) Prec@1 67.188 (66.467) Prec@5 85.156 (85.638) Epoch: [62][6040/10010] Time 0.321 (0.326) Data 0.001 (0.001) Loss 1.3477 (1.4550) Prec@1 69.531 (66.466) Prec@5 85.938 (85.634) Epoch: [62][6050/10010] Time 0.334 (0.326) Data 0.000 (0.001) Loss 1.2870 (1.4549) Prec@1 67.188 (66.466) Prec@5 89.062 (85.635) Epoch: [62][6060/10010] Time 0.319 (0.326) Data 0.000 (0.001) Loss 1.2845 (1.4550) Prec@1 76.562 (66.468) Prec@5 85.156 (85.634) Epoch: [62][6070/10010] Time 0.318 (0.326) Data 0.001 (0.001) Loss 1.2534 (1.4550) Prec@1 70.312 (66.468) Prec@5 87.500 (85.633) Epoch: [62][6080/10010] Time 0.337 (0.326) Data 0.001 (0.001) Loss 1.2037 (1.4551) Prec@1 71.875 (66.464) Prec@5 89.062 (85.632) Epoch: [62][6090/10010] Time 0.327 (0.326) Data 0.001 (0.001) Loss 1.2395 (1.4551) Prec@1 73.438 (66.467) Prec@5 89.844 (85.632) Epoch: [62][6100/10010] Time 0.319 (0.326) Data 0.001 (0.001) Loss 1.2240 (1.4551) Prec@1 71.875 (66.465) Prec@5 87.500 (85.633) Epoch: [62][6110/10010] Time 0.321 (0.326) Data 0.000 (0.001) Loss 1.5289 (1.4551) Prec@1 67.188 (66.464) Prec@5 82.812 (85.632) Epoch: [62][6120/10010] Time 0.340 (0.326) Data 0.001 (0.001) Loss 1.3453 (1.4551) Prec@1 68.750 (66.465) Prec@5 87.500 (85.634) Epoch: [62][6130/10010] Time 0.330 (0.326) Data 0.001 (0.001) Loss 1.4056 (1.4549) Prec@1 65.625 (66.466) Prec@5 85.156 (85.635) Epoch: [62][6140/10010] Time 0.338 (0.326) Data 0.000 (0.001) Loss 1.3998 (1.4548) Prec@1 67.969 (66.467) Prec@5 85.938 (85.636) Epoch: [62][6150/10010] Time 0.315 (0.326) Data 0.001 (0.001) Loss 1.3009 (1.4548) Prec@1 69.531 (66.470) Prec@5 86.719 (85.635) Epoch: [62][6160/10010] Time 0.321 (0.326) Data 0.000 (0.001) Loss 1.4238 (1.4547) Prec@1 66.406 (66.471) Prec@5 85.156 (85.635) Epoch: [62][6170/10010] Time 0.311 (0.326) Data 0.001 (0.001) Loss 1.2760 (1.4547) Prec@1 66.406 (66.473) Prec@5 88.281 (85.637) Epoch: [62][6180/10010] Time 0.315 (0.326) Data 0.001 (0.001) Loss 1.6949 (1.4549) Prec@1 64.062 (66.471) Prec@5 81.250 (85.633) Epoch: [62][6190/10010] Time 0.329 (0.326) Data 0.001 (0.001) Loss 1.5778 (1.4549) Prec@1 64.844 (66.470) Prec@5 84.375 (85.632) Epoch: [62][6200/10010] Time 0.338 (0.326) Data 0.001 (0.001) Loss 1.2357 (1.4549) Prec@1 73.438 (66.471) Prec@5 88.281 (85.632) Epoch: [62][6210/10010] Time 0.322 (0.326) Data 0.000 (0.001) Loss 1.3024 (1.4548) Prec@1 69.531 (66.473) Prec@5 88.281 (85.633) Epoch: [62][6220/10010] Time 0.321 (0.326) Data 0.000 (0.001) Loss 2.1830 (1.4550) Prec@1 46.875 (66.468) Prec@5 75.000 (85.631) Epoch: [62][6230/10010] Time 0.318 (0.326) Data 0.001 (0.001) Loss 1.4613 (1.4550) Prec@1 62.500 (66.466) Prec@5 86.719 (85.631) Epoch: [62][6240/10010] Time 0.325 (0.326) Data 0.001 (0.001) Loss 1.1903 (1.4550) Prec@1 70.312 (66.469) Prec@5 87.500 (85.631) Epoch: [62][6250/10010] Time 0.320 (0.326) Data 0.001 (0.001) Loss 1.6419 (1.4551) Prec@1 64.844 (66.470) Prec@5 83.594 (85.631) Epoch: [62][6260/10010] Time 0.324 (0.326) Data 0.001 (0.001) Loss 1.5907 (1.4551) Prec@1 64.844 (66.472) Prec@5 83.594 (85.631) Epoch: [62][6270/10010] Time 0.323 (0.326) Data 0.001 (0.001) Loss 1.4649 (1.4549) Prec@1 63.281 (66.475) Prec@5 84.375 (85.632) Epoch: [62][6280/10010] Time 0.330 (0.326) Data 0.001 (0.001) Loss 1.4767 (1.4550) Prec@1 67.188 (66.474) Prec@5 85.938 (85.630) Epoch: [62][6290/10010] Time 0.323 (0.326) Data 0.000 (0.001) Loss 1.0554 (1.4549) Prec@1 71.875 (66.474) Prec@5 91.406 (85.631) Epoch: [62][6300/10010] Time 0.318 (0.326) Data 0.001 (0.001) Loss 1.2888 (1.4549) Prec@1 74.219 (66.477) Prec@5 86.719 (85.632) Epoch: [62][6310/10010] Time 0.325 (0.326) Data 0.001 (0.001) Loss 1.4216 (1.4549) Prec@1 71.094 (66.475) Prec@5 84.375 (85.630) Epoch: [62][6320/10010] Time 0.317 (0.326) Data 0.001 (0.001) Loss 1.4537 (1.4549) Prec@1 64.062 (66.476) Prec@5 82.812 (85.630) Epoch: [62][6330/10010] Time 0.323 (0.326) Data 0.000 (0.001) Loss 1.2730 (1.4549) Prec@1 70.312 (66.474) Prec@5 85.156 (85.630) Epoch: [62][6340/10010] Time 0.322 (0.326) Data 0.001 (0.001) Loss 1.7099 (1.4549) Prec@1 60.938 (66.474) Prec@5 78.906 (85.630) Epoch: [62][6350/10010] Time 0.325 (0.326) Data 0.001 (0.001) Loss 1.6650 (1.4551) Prec@1 62.500 (66.468) Prec@5 85.938 (85.627) Epoch: [62][6360/10010] Time 0.315 (0.326) Data 0.001 (0.001) Loss 1.1955 (1.4552) Prec@1 71.875 (66.466) Prec@5 89.844 (85.627) Epoch: [62][6370/10010] Time 0.318 (0.326) Data 0.001 (0.001) Loss 1.2065 (1.4551) Prec@1 71.094 (66.468) Prec@5 88.281 (85.629) Epoch: [62][6380/10010] Time 0.329 (0.326) Data 0.001 (0.001) Loss 1.5168 (1.4551) Prec@1 64.062 (66.470) Prec@5 87.500 (85.629) Epoch: [62][6390/10010] Time 0.321 (0.326) Data 0.001 (0.001) Loss 1.1351 (1.4552) Prec@1 71.094 (66.469) Prec@5 90.625 (85.629) Epoch: [62][6400/10010] Time 0.321 (0.326) Data 0.001 (0.001) Loss 1.3793 (1.4551) Prec@1 67.969 (66.469) Prec@5 88.281 (85.631) Epoch: [62][6410/10010] Time 0.318 (0.326) Data 0.001 (0.001) Loss 1.4799 (1.4551) Prec@1 69.531 (66.471) Prec@5 85.156 (85.632) Epoch: [62][6420/10010] Time 0.316 (0.326) Data 0.001 (0.001) Loss 1.5713 (1.4551) Prec@1 65.625 (66.472) Prec@5 84.375 (85.631) Epoch: [62][6430/10010] Time 0.312 (0.326) Data 0.001 (0.001) Loss 1.3270 (1.4551) Prec@1 75.000 (66.473) Prec@5 85.156 (85.629) Epoch: [62][6440/10010] Time 0.314 (0.326) Data 0.001 (0.001) Loss 1.4390 (1.4550) Prec@1 64.844 (66.475) Prec@5 85.156 (85.631) Epoch: [62][6450/10010] Time 0.316 (0.326) Data 0.001 (0.001) Loss 1.3035 (1.4549) Prec@1 65.625 (66.474) Prec@5 88.281 (85.631) Epoch: [62][6460/10010] Time 0.329 (0.326) Data 0.001 (0.001) Loss 1.3861 (1.4549) Prec@1 68.750 (66.476) Prec@5 85.938 (85.631) Epoch: [62][6470/10010] Time 0.327 (0.326) Data 0.001 (0.001) Loss 1.5696 (1.4550) Prec@1 62.500 (66.473) Prec@5 86.719 (85.631) Epoch: [62][6480/10010] Time 0.332 (0.326) Data 0.000 (0.001) Loss 1.3867 (1.4551) Prec@1 67.969 (66.472) Prec@5 85.938 (85.629) Epoch: [62][6490/10010] Time 0.316 (0.326) Data 0.001 (0.001) Loss 1.6678 (1.4550) Prec@1 67.188 (66.474) Prec@5 82.812 (85.630) Epoch: [62][6500/10010] Time 0.326 (0.326) Data 0.000 (0.001) Loss 1.6919 (1.4550) Prec@1 64.844 (66.474) Prec@5 82.812 (85.631) Epoch: [62][6510/10010] Time 0.320 (0.326) Data 0.001 (0.001) Loss 1.4797 (1.4549) Prec@1 64.062 (66.475) Prec@5 84.375 (85.632) Epoch: [62][6520/10010] Time 0.329 (0.326) Data 0.000 (0.001) Loss 1.5709 (1.4549) Prec@1 65.625 (66.475) Prec@5 87.500 (85.632) Epoch: [62][6530/10010] Time 0.334 (0.326) Data 0.000 (0.001) Loss 1.7526 (1.4552) Prec@1 59.375 (66.469) Prec@5 82.031 (85.628) Epoch: [62][6540/10010] Time 0.319 (0.326) Data 0.001 (0.001) Loss 1.6636 (1.4551) Prec@1 65.625 (66.472) Prec@5 84.375 (85.629) Epoch: [62][6550/10010] Time 0.312 (0.326) Data 0.001 (0.001) Loss 1.2992 (1.4551) Prec@1 71.875 (66.474) Prec@5 85.938 (85.630) Epoch: [62][6560/10010] Time 0.321 (0.326) Data 0.000 (0.001) Loss 1.4189 (1.4552) Prec@1 66.406 (66.472) Prec@5 85.156 (85.629) Epoch: [62][6570/10010] Time 0.334 (0.326) Data 0.001 (0.001) Loss 1.1891 (1.4552) Prec@1 72.656 (66.473) Prec@5 90.625 (85.631) Epoch: [62][6580/10010] Time 0.327 (0.326) Data 0.000 (0.001) Loss 1.3047 (1.4552) Prec@1 65.625 (66.472) Prec@5 89.844 (85.631) Epoch: [62][6590/10010] Time 0.317 (0.326) Data 0.001 (0.001) Loss 1.4277 (1.4552) Prec@1 67.188 (66.473) Prec@5 87.500 (85.632) Epoch: [62][6600/10010] Time 0.332 (0.326) Data 0.001 (0.001) Loss 1.4555 (1.4553) Prec@1 67.188 (66.470) Prec@5 87.500 (85.630) Epoch: [62][6610/10010] Time 0.323 (0.326) Data 0.000 (0.001) Loss 1.8221 (1.4554) Prec@1 60.156 (66.468) Prec@5 79.688 (85.630) Epoch: [62][6620/10010] Time 0.320 (0.326) Data 0.001 (0.001) Loss 1.5835 (1.4555) Prec@1 64.844 (66.468) Prec@5 81.250 (85.628) Epoch: [62][6630/10010] Time 0.322 (0.326) Data 0.000 (0.001) Loss 1.4956 (1.4554) Prec@1 64.844 (66.468) Prec@5 85.156 (85.630) Epoch: [62][6640/10010] Time 0.321 (0.326) Data 0.001 (0.001) Loss 1.3712 (1.4554) Prec@1 68.750 (66.469) Prec@5 84.375 (85.630) Epoch: [62][6650/10010] Time 0.323 (0.326) Data 0.001 (0.001) Loss 1.4454 (1.4553) Prec@1 65.625 (66.471) Prec@5 88.281 (85.633) Epoch: [62][6660/10010] Time 0.325 (0.326) Data 0.001 (0.001) Loss 1.3427 (1.4552) Prec@1 71.094 (66.474) Prec@5 89.844 (85.634) Epoch: [62][6670/10010] Time 0.321 (0.326) Data 0.001 (0.001) Loss 1.6010 (1.4552) Prec@1 64.062 (66.475) Prec@5 85.156 (85.634) Epoch: [62][6680/10010] Time 0.313 (0.326) Data 0.001 (0.001) Loss 1.6741 (1.4552) Prec@1 59.375 (66.473) Prec@5 84.375 (85.636) Epoch: [62][6690/10010] Time 0.316 (0.326) Data 0.001 (0.001) Loss 1.5488 (1.4553) Prec@1 64.844 (66.472) Prec@5 85.156 (85.634) Epoch: [62][6700/10010] Time 0.320 (0.326) Data 0.001 (0.001) Loss 1.2264 (1.4552) Prec@1 67.188 (66.470) Prec@5 89.062 (85.635) Epoch: [62][6710/10010] Time 0.337 (0.326) Data 0.001 (0.001) Loss 1.3554 (1.4551) Prec@1 68.750 (66.472) Prec@5 88.281 (85.636) Epoch: [62][6720/10010] Time 0.309 (0.326) Data 0.001 (0.001) Loss 1.4317 (1.4551) Prec@1 65.625 (66.472) Prec@5 90.625 (85.637) Epoch: [62][6730/10010] Time 0.323 (0.326) Data 0.001 (0.001) Loss 1.5240 (1.4552) Prec@1 62.500 (66.471) Prec@5 85.156 (85.635) Epoch: [62][6740/10010] Time 0.335 (0.326) Data 0.000 (0.001) Loss 1.2494 (1.4551) Prec@1 72.656 (66.472) Prec@5 88.281 (85.636) Epoch: [62][6750/10010] Time 0.316 (0.326) Data 0.001 (0.001) Loss 1.4415 (1.4551) Prec@1 68.750 (66.472) Prec@5 84.375 (85.637) Epoch: [62][6760/10010] Time 0.312 (0.326) Data 0.001 (0.001) Loss 1.3940 (1.4550) Prec@1 67.969 (66.473) Prec@5 83.594 (85.637) Epoch: [62][6770/10010] Time 0.332 (0.326) Data 0.001 (0.001) Loss 1.5731 (1.4549) Prec@1 64.062 (66.476) Prec@5 84.375 (85.639) Epoch: [62][6780/10010] Time 0.315 (0.326) Data 0.001 (0.001) Loss 1.4468 (1.4549) Prec@1 64.062 (66.477) Prec@5 84.375 (85.639) Epoch: [62][6790/10010] Time 0.339 (0.326) Data 0.001 (0.001) Loss 1.2907 (1.4548) Prec@1 67.969 (66.479) Prec@5 87.500 (85.639) Epoch: [62][6800/10010] Time 0.325 (0.326) Data 0.001 (0.001) Loss 1.6080 (1.4547) Prec@1 61.719 (66.481) Prec@5 83.594 (85.642) Epoch: [62][6810/10010] Time 0.332 (0.326) Data 0.000 (0.001) Loss 1.3498 (1.4546) Prec@1 74.219 (66.482) Prec@5 85.938 (85.643) /data/vision/torralba/deepscene/lib/anaconda2/lib/python2.7/site-packages/PIL/TiffImagePlugin.py:692: UserWarning: Possibly corrupt EXIF data. Expecting to read 2555904 bytes but only got 0. Skipping tag 0 "Skipping tag %s" % (size, len(data), tag)) Epoch: [62][6820/10010] Time 0.336 (0.326) Data 0.001 (0.001) Loss 1.3493 (1.4547) Prec@1 66.406 (66.481) Prec@5 90.625 (85.643) Epoch: [62][6830/10010] Time 0.337 (0.326) Data 0.001 (0.001) Loss 1.6434 (1.4547) Prec@1 67.969 (66.481) Prec@5 84.375 (85.641) Epoch: [62][6840/10010] Time 0.318 (0.326) Data 0.001 (0.001) Loss 1.4457 (1.4546) Prec@1 68.750 (66.482) Prec@5 85.938 (85.644) Epoch: [62][6850/10010] Time 0.318 (0.326) Data 0.001 (0.001) Loss 1.3875 (1.4545) Prec@1 67.969 (66.484) Prec@5 85.938 (85.645) Epoch: [62][6860/10010] Time 0.337 (0.326) Data 0.001 (0.001) Loss 1.2843 (1.4544) Prec@1 69.531 (66.487) Prec@5 89.844 (85.647) Epoch: [62][6870/10010] Time 0.322 (0.326) Data 0.001 (0.001) Loss 1.3220 (1.4544) Prec@1 74.219 (66.488) Prec@5 86.719 (85.645) Epoch: [62][6880/10010] Time 0.339 (0.326) Data 0.001 (0.001) Loss 1.4466 (1.4544) Prec@1 67.969 (66.487) Prec@5 85.938 (85.645) Epoch: [62][6890/10010] Time 0.333 (0.326) Data 0.001 (0.001) Loss 1.6394 (1.4545) Prec@1 65.625 (66.488) Prec@5 82.031 (85.643) Epoch: [62][6900/10010] Time 0.332 (0.326) Data 0.001 (0.001) Loss 1.2977 (1.4544) Prec@1 63.281 (66.488) Prec@5 86.719 (85.645) Epoch: [62][6910/10010] Time 0.323 (0.326) Data 0.000 (0.001) Loss 1.5679 (1.4546) Prec@1 67.969 (66.482) Prec@5 83.594 (85.642) Epoch: [62][6920/10010] Time 0.317 (0.326) Data 0.000 (0.001) Loss 1.0696 (1.4545) Prec@1 74.219 (66.482) Prec@5 92.188 (85.642) Epoch: [62][6930/10010] Time 0.320 (0.326) Data 0.001 (0.001) Loss 1.2878 (1.4544) Prec@1 67.188 (66.485) Prec@5 86.719 (85.644) Epoch: [62][6940/10010] Time 0.320 (0.326) Data 0.000 (0.001) Loss 1.3598 (1.4543) Prec@1 72.656 (66.486) Prec@5 84.375 (85.644) Epoch: [62][6950/10010] Time 0.318 (0.326) Data 0.000 (0.001) Loss 1.4034 (1.4544) Prec@1 68.750 (66.484) Prec@5 85.938 (85.645) Epoch: [62][6960/10010] Time 0.338 (0.326) Data 0.000 (0.001) Loss 1.4360 (1.4543) Prec@1 63.281 (66.486) Prec@5 89.844 (85.647) Epoch: [62][6970/10010] Time 0.339 (0.326) Data 0.001 (0.001) Loss 1.3322 (1.4541) Prec@1 68.750 (66.491) Prec@5 86.719 (85.648) Epoch: [62][6980/10010] Time 0.317 (0.326) Data 0.001 (0.001) Loss 1.3864 (1.4542) Prec@1 67.188 (66.490) Prec@5 87.500 (85.647) Epoch: [62][6990/10010] Time 0.337 (0.326) Data 0.001 (0.001) Loss 0.9276 (1.4541) Prec@1 77.344 (66.489) Prec@5 92.969 (85.647) Epoch: [62][7000/10010] Time 0.317 (0.326) Data 0.001 (0.001) Loss 1.5545 (1.4541) Prec@1 63.281 (66.491) Prec@5 83.594 (85.646) Epoch: [62][7010/10010] Time 0.331 (0.326) Data 0.001 (0.001) Loss 1.7778 (1.4541) Prec@1 61.719 (66.491) Prec@5 83.594 (85.647) Epoch: [62][7020/10010] Time 0.335 (0.326) Data 0.000 (0.001) Loss 1.5435 (1.4541) Prec@1 58.594 (66.489) Prec@5 82.031 (85.647) Epoch: [62][7030/10010] Time 0.332 (0.326) Data 0.001 (0.001) Loss 1.3174 (1.4541) Prec@1 69.531 (66.490) Prec@5 86.719 (85.647) Epoch: [62][7040/10010] Time 0.318 (0.326) Data 0.000 (0.001) Loss 1.6891 (1.4541) Prec@1 62.500 (66.492) Prec@5 80.469 (85.646) Epoch: [62][7050/10010] Time 0.327 (0.326) Data 0.001 (0.001) Loss 1.2035 (1.4541) Prec@1 71.875 (66.494) Prec@5 90.625 (85.646) Epoch: [62][7060/10010] Time 0.334 (0.326) Data 0.001 (0.001) Loss 1.5564 (1.4541) Prec@1 67.188 (66.495) Prec@5 82.812 (85.645) Epoch: [62][7070/10010] Time 0.315 (0.326) Data 0.001 (0.001) Loss 1.2093 (1.4540) Prec@1 71.875 (66.496) Prec@5 89.062 (85.648) Epoch: [62][7080/10010] Time 0.342 (0.326) Data 0.000 (0.001) Loss 1.3133 (1.4541) Prec@1 68.750 (66.494) Prec@5 90.625 (85.646) Epoch: [62][7090/10010] Time 0.322 (0.326) Data 0.001 (0.001) Loss 1.2673 (1.4542) Prec@1 70.312 (66.494) Prec@5 85.938 (85.645) Epoch: [62][7100/10010] Time 0.324 (0.326) Data 0.001 (0.001) Loss 1.7776 (1.4542) Prec@1 55.469 (66.492) Prec@5 82.031 (85.647) Epoch: [62][7110/10010] Time 0.336 (0.326) Data 0.001 (0.001) Loss 1.2254 (1.4543) Prec@1 73.438 (66.491) Prec@5 86.719 (85.644) Epoch: [62][7120/10010] Time 0.333 (0.326) Data 0.000 (0.001) Loss 1.5476 (1.4545) Prec@1 62.500 (66.487) Prec@5 84.375 (85.643) Epoch: [62][7130/10010] Time 0.339 (0.326) Data 0.001 (0.001) Loss 1.4270 (1.4545) Prec@1 70.312 (66.488) Prec@5 85.156 (85.641) Epoch: [62][7140/10010] Time 0.314 (0.326) Data 0.001 (0.001) Loss 1.4708 (1.4543) Prec@1 63.281 (66.494) Prec@5 82.031 (85.644) Epoch: [62][7150/10010] Time 0.320 (0.326) Data 0.000 (0.001) Loss 1.4412 (1.4543) Prec@1 67.188 (66.495) Prec@5 86.719 (85.646) Epoch: [62][7160/10010] Time 0.335 (0.326) Data 0.000 (0.001) Loss 1.4307 (1.4543) Prec@1 60.938 (66.495) Prec@5 86.719 (85.646) Epoch: [62][7170/10010] Time 0.319 (0.326) Data 0.001 (0.001) Loss 1.2887 (1.4542) Prec@1 67.188 (66.500) Prec@5 88.281 (85.648) Epoch: [62][7180/10010] Time 0.324 (0.326) Data 0.001 (0.001) Loss 1.3308 (1.4542) Prec@1 67.969 (66.500) Prec@5 87.500 (85.648) Epoch: [62][7190/10010] Time 0.315 (0.326) Data 0.001 (0.001) Loss 1.4893 (1.4542) Prec@1 65.625 (66.500) Prec@5 84.375 (85.647) Epoch: [62][7200/10010] Time 0.326 (0.326) Data 0.001 (0.001) Loss 1.4800 (1.4541) Prec@1 64.062 (66.498) Prec@5 83.594 (85.648) Epoch: [62][7210/10010] Time 0.317 (0.326) Data 0.001 (0.001) Loss 1.3303 (1.4542) Prec@1 71.094 (66.498) Prec@5 85.938 (85.648) Epoch: [62][7220/10010] Time 0.327 (0.326) Data 0.001 (0.001) Loss 1.3707 (1.4541) Prec@1 68.750 (66.499) Prec@5 85.156 (85.648) Epoch: [62][7230/10010] Time 0.319 (0.326) Data 0.001 (0.001) Loss 1.4685 (1.4542) Prec@1 64.844 (66.497) Prec@5 88.281 (85.647) Epoch: [62][7240/10010] Time 0.337 (0.326) Data 0.001 (0.001) Loss 1.8814 (1.4542) Prec@1 57.031 (66.495) Prec@5 77.344 (85.648) Epoch: [62][7250/10010] Time 0.320 (0.326) Data 0.001 (0.001) Loss 1.1711 (1.4541) Prec@1 69.531 (66.498) Prec@5 87.500 (85.648) Epoch: [62][7260/10010] Time 0.336 (0.326) Data 0.001 (0.001) Loss 1.5819 (1.4542) Prec@1 65.625 (66.500) Prec@5 84.375 (85.648) Epoch: [62][7270/10010] Time 0.334 (0.326) Data 0.001 (0.001) Loss 1.4131 (1.4542) Prec@1 64.844 (66.500) Prec@5 87.500 (85.647) Epoch: [62][7280/10010] Time 0.332 (0.326) Data 0.001 (0.001) Loss 1.1626 (1.4542) Prec@1 67.969 (66.497) Prec@5 92.188 (85.646) Epoch: [62][7290/10010] Time 0.314 (0.326) Data 0.001 (0.001) Loss 1.5819 (1.4541) Prec@1 64.062 (66.498) Prec@5 83.594 (85.647) Epoch: [62][7300/10010] Time 0.329 (0.326) Data 0.001 (0.001) Loss 1.4647 (1.4541) Prec@1 68.750 (66.499) Prec@5 85.156 (85.648) Epoch: [62][7310/10010] Time 0.320 (0.326) Data 0.001 (0.001) Loss 1.4309 (1.4540) Prec@1 68.750 (66.499) Prec@5 88.281 (85.649) Epoch: [62][7320/10010] Time 0.318 (0.326) Data 0.000 (0.001) Loss 1.7585 (1.4541) Prec@1 56.250 (66.498) Prec@5 81.250 (85.648) Epoch: [62][7330/10010] Time 0.314 (0.326) Data 0.001 (0.001) Loss 1.5100 (1.4541) Prec@1 65.625 (66.497) Prec@5 84.375 (85.649) Epoch: [62][7340/10010] Time 0.321 (0.326) Data 0.001 (0.001) Loss 1.7208 (1.4540) Prec@1 64.062 (66.498) Prec@5 79.688 (85.649) Epoch: [62][7350/10010] Time 0.334 (0.326) Data 0.001 (0.001) Loss 1.3092 (1.4540) Prec@1 67.969 (66.498) Prec@5 87.500 (85.649) Epoch: [62][7360/10010] Time 0.318 (0.326) Data 0.000 (0.001) Loss 1.4576 (1.4540) Prec@1 68.750 (66.499) Prec@5 84.375 (85.649) Epoch: [62][7370/10010] Time 0.328 (0.326) Data 0.001 (0.001) Loss 1.3616 (1.4542) Prec@1 69.531 (66.498) Prec@5 87.500 (85.646) Epoch: [62][7380/10010] Time 0.340 (0.326) Data 0.001 (0.001) Loss 1.7197 (1.4542) Prec@1 63.281 (66.498) Prec@5 84.375 (85.645) Epoch: [62][7390/10010] Time 0.326 (0.326) Data 0.001 (0.001) Loss 1.1151 (1.4541) Prec@1 69.531 (66.498) Prec@5 89.062 (85.647) Epoch: [62][7400/10010] Time 0.318 (0.326) Data 0.001 (0.001) Loss 1.1950 (1.4542) Prec@1 72.656 (66.496) Prec@5 86.719 (85.646) Epoch: [62][7410/10010] Time 0.322 (0.326) Data 0.001 (0.001) Loss 1.5884 (1.4543) Prec@1 67.188 (66.496) Prec@5 81.250 (85.644) Epoch: [62][7420/10010] Time 0.333 (0.326) Data 0.000 (0.001) Loss 1.8352 (1.4544) Prec@1 58.594 (66.493) Prec@5 84.375 (85.643) Epoch: [62][7430/10010] Time 0.318 (0.326) Data 0.001 (0.001) Loss 1.2852 (1.4544) Prec@1 68.750 (66.494) Prec@5 87.500 (85.644) Epoch: [62][7440/10010] Time 0.320 (0.326) Data 0.001 (0.001) Loss 1.4447 (1.4543) Prec@1 67.188 (66.494) Prec@5 86.719 (85.646) Epoch: [62][7450/10010] Time 0.330 (0.326) Data 0.001 (0.001) Loss 1.3288 (1.4543) Prec@1 71.094 (66.494) Prec@5 87.500 (85.646) Epoch: [62][7460/10010] Time 0.321 (0.326) Data 0.001 (0.001) Loss 1.5067 (1.4543) Prec@1 64.844 (66.492) Prec@5 85.938 (85.647) Epoch: [62][7470/10010] Time 0.320 (0.326) Data 0.001 (0.001) Loss 1.3623 (1.4543) Prec@1 69.531 (66.493) Prec@5 85.938 (85.647) Epoch: [62][7480/10010] Time 0.318 (0.326) Data 0.001 (0.001) Loss 1.2087 (1.4543) Prec@1 74.219 (66.494) Prec@5 86.719 (85.646) Epoch: [62][7490/10010] Time 0.339 (0.326) Data 0.001 (0.001) Loss 1.4582 (1.4541) Prec@1 64.062 (66.496) Prec@5 85.156 (85.647) Epoch: [62][7500/10010] Time 0.335 (0.326) Data 0.001 (0.001) Loss 1.6494 (1.4543) Prec@1 64.844 (66.494) Prec@5 81.250 (85.645) Epoch: [62][7510/10010] Time 0.327 (0.326) Data 0.001 (0.001) Loss 1.3257 (1.4544) Prec@1 71.094 (66.491) Prec@5 86.719 (85.643) Epoch: [62][7520/10010] Time 0.338 (0.326) Data 0.001 (0.001) Loss 1.7850 (1.4544) Prec@1 63.281 (66.491) Prec@5 82.031 (85.642) Epoch: [62][7530/10010] Time 0.338 (0.326) Data 0.001 (0.001) Loss 1.4271 (1.4544) Prec@1 69.531 (66.491) Prec@5 88.281 (85.643) Epoch: [62][7540/10010] Time 0.326 (0.326) Data 0.000 (0.001) Loss 1.1790 (1.4544) Prec@1 74.219 (66.491) Prec@5 92.188 (85.645) Epoch: [62][7550/10010] Time 0.327 (0.326) Data 0.000 (0.001) Loss 1.4797 (1.4543) Prec@1 64.844 (66.491) Prec@5 84.375 (85.645) Epoch: [62][7560/10010] Time 0.331 (0.326) Data 0.001 (0.001) Loss 1.4039 (1.4542) Prec@1 61.719 (66.494) Prec@5 88.281 (85.647) Epoch: [62][7570/10010] Time 0.338 (0.326) Data 0.001 (0.001) Loss 1.7131 (1.4543) Prec@1 58.594 (66.491) Prec@5 82.031 (85.645) Epoch: [62][7580/10010] Time 0.328 (0.326) Data 0.001 (0.001) Loss 1.5701 (1.4544) Prec@1 60.156 (66.490) Prec@5 85.938 (85.644) Epoch: [62][7590/10010] Time 0.327 (0.326) Data 0.001 (0.001) Loss 1.5774 (1.4544) Prec@1 62.500 (66.491) Prec@5 85.156 (85.645) Epoch: [62][7600/10010] Time 0.337 (0.326) Data 0.001 (0.001) Loss 1.1008 (1.4543) Prec@1 70.312 (66.492) Prec@5 89.062 (85.646) Epoch: [62][7610/10010] Time 0.326 (0.326) Data 0.001 (0.001) Loss 1.3092 (1.4543) Prec@1 64.062 (66.491) Prec@5 91.406 (85.646) Epoch: [62][7620/10010] Time 0.332 (0.326) Data 0.000 (0.001) Loss 1.2547 (1.4544) Prec@1 71.875 (66.489) Prec@5 87.500 (85.644) Epoch: [62][7630/10010] Time 0.312 (0.326) Data 0.001 (0.001) Loss 1.2237 (1.4543) Prec@1 67.969 (66.490) Prec@5 90.625 (85.645) Epoch: [62][7640/10010] Time 0.325 (0.326) Data 0.000 (0.001) Loss 1.2883 (1.4543) Prec@1 68.750 (66.487) Prec@5 87.500 (85.645) Epoch: [62][7650/10010] Time 0.322 (0.326) Data 0.001 (0.001) Loss 1.5349 (1.4543) Prec@1 67.969 (66.486) Prec@5 82.812 (85.643) Epoch: [62][7660/10010] Time 0.322 (0.326) Data 0.001 (0.001) Loss 1.4002 (1.4542) Prec@1 68.750 (66.490) Prec@5 87.500 (85.646) Epoch: [62][7670/10010] Time 0.331 (0.326) Data 0.001 (0.001) Loss 1.2754 (1.4543) Prec@1 68.750 (66.488) Prec@5 89.844 (85.644) Epoch: [62][7680/10010] Time 0.337 (0.326) Data 0.002 (0.001) Loss 1.4159 (1.4542) Prec@1 67.188 (66.489) Prec@5 87.500 (85.645) Epoch: [62][7690/10010] Time 0.320 (0.326) Data 0.001 (0.001) Loss 1.2245 (1.4542) Prec@1 67.188 (66.487) Prec@5 92.188 (85.645) Epoch: [62][7700/10010] Time 0.326 (0.326) Data 0.001 (0.001) Loss 1.6043 (1.4542) Prec@1 62.500 (66.486) Prec@5 79.688 (85.644) Epoch: [62][7710/10010] Time 0.334 (0.326) Data 0.000 (0.001) Loss 1.5491 (1.4542) Prec@1 62.500 (66.486) Prec@5 84.375 (85.645) Epoch: [62][7720/10010] Time 0.324 (0.326) Data 0.001 (0.001) Loss 1.7485 (1.4544) Prec@1 60.938 (66.484) Prec@5 83.594 (85.642) Epoch: [62][7730/10010] Time 0.332 (0.326) Data 0.001 (0.001) Loss 1.6383 (1.4544) Prec@1 69.531 (66.483) Prec@5 85.938 (85.641) Epoch: [62][7740/10010] Time 0.334 (0.326) Data 0.001 (0.001) Loss 1.6745 (1.4544) Prec@1 67.969 (66.485) Prec@5 82.812 (85.642) Epoch: [62][7750/10010] Time 0.330 (0.326) Data 0.001 (0.001) Loss 1.3810 (1.4543) Prec@1 70.312 (66.485) Prec@5 85.156 (85.642) Epoch: [62][7760/10010] Time 0.338 (0.326) Data 0.000 (0.001) Loss 1.3274 (1.4543) Prec@1 69.531 (66.486) Prec@5 89.062 (85.642) Epoch: [62][7770/10010] Time 0.335 (0.326) Data 0.001 (0.001) Loss 1.3973 (1.4543) Prec@1 65.625 (66.487) Prec@5 85.938 (85.642) Epoch: [62][7780/10010] Time 0.315 (0.326) Data 0.001 (0.001) Loss 1.2591 (1.4543) Prec@1 67.969 (66.487) Prec@5 89.062 (85.643) Epoch: [62][7790/10010] Time 0.339 (0.326) Data 0.001 (0.001) Loss 1.3791 (1.4542) Prec@1 71.094 (66.489) Prec@5 85.156 (85.643) Epoch: [62][7800/10010] Time 0.327 (0.326) Data 0.001 (0.001) Loss 1.5518 (1.4542) Prec@1 64.062 (66.490) Prec@5 85.156 (85.644) Epoch: [62][7810/10010] Time 0.318 (0.326) Data 0.001 (0.001) Loss 1.6225 (1.4541) Prec@1 64.062 (66.493) Prec@5 82.812 (85.644) Epoch: [62][7820/10010] Time 0.338 (0.326) Data 0.000 (0.001) Loss 1.2833 (1.4541) Prec@1 71.875 (66.493) Prec@5 88.281 (85.643) Epoch: [62][7830/10010] Time 0.315 (0.326) Data 0.000 (0.001) Loss 1.2378 (1.4541) Prec@1 64.844 (66.493) Prec@5 92.969 (85.642) Epoch: [62][7840/10010] Time 0.340 (0.326) Data 0.000 (0.001) Loss 1.6306 (1.4542) Prec@1 64.844 (66.490) Prec@5 83.594 (85.640) Epoch: [62][7850/10010] Time 0.326 (0.326) Data 0.001 (0.001) Loss 1.3670 (1.4541) Prec@1 64.062 (66.491) Prec@5 89.062 (85.641) Epoch: [62][7860/10010] Time 0.320 (0.326) Data 0.000 (0.001) Loss 1.4634 (1.4543) Prec@1 69.531 (66.488) Prec@5 87.500 (85.639) Epoch: [62][7870/10010] Time 0.339 (0.326) Data 0.000 (0.001) Loss 1.5674 (1.4544) Prec@1 67.188 (66.489) Prec@5 85.156 (85.638) Epoch: [62][7880/10010] Time 0.338 (0.326) Data 0.001 (0.001) Loss 1.2203 (1.4543) Prec@1 68.750 (66.489) Prec@5 88.281 (85.638) Epoch: [62][7890/10010] Time 0.318 (0.326) Data 0.001 (0.001) Loss 1.5305 (1.4543) Prec@1 67.969 (66.492) Prec@5 85.938 (85.639) Epoch: [62][7900/10010] Time 0.333 (0.326) Data 0.001 (0.001) Loss 1.4777 (1.4543) Prec@1 63.281 (66.492) Prec@5 85.156 (85.639) Epoch: [62][7910/10010] Time 0.321 (0.326) Data 0.000 (0.001) Loss 1.2396 (1.4543) Prec@1 67.969 (66.490) Prec@5 87.500 (85.639) Epoch: [62][7920/10010] Time 0.330 (0.326) Data 0.001 (0.001) Loss 1.1431 (1.4542) Prec@1 71.875 (66.491) Prec@5 91.406 (85.640) Epoch: [62][7930/10010] Time 0.339 (0.326) Data 0.000 (0.001) Loss 1.4080 (1.4543) Prec@1 74.219 (66.491) Prec@5 85.156 (85.640) Epoch: [62][7940/10010] Time 0.319 (0.326) Data 0.000 (0.001) Loss 1.5119 (1.4542) Prec@1 67.188 (66.492) Prec@5 82.812 (85.640) Epoch: [62][7950/10010] Time 0.342 (0.326) Data 0.000 (0.001) Loss 1.5607 (1.4543) Prec@1 70.312 (66.491) Prec@5 81.250 (85.639) Epoch: [62][7960/10010] Time 0.318 (0.326) Data 0.001 (0.001) Loss 1.2692 (1.4542) Prec@1 64.844 (66.491) Prec@5 92.969 (85.640) Epoch: [62][7970/10010] Time 0.323 (0.326) Data 0.001 (0.001) Loss 1.5389 (1.4542) Prec@1 67.188 (66.492) Prec@5 85.938 (85.640) Epoch: [62][7980/10010] Time 0.321 (0.326) Data 0.001 (0.001) Loss 1.3448 (1.4542) Prec@1 67.188 (66.494) Prec@5 89.062 (85.641) Epoch: [62][7990/10010] Time 0.316 (0.326) Data 0.001 (0.001) Loss 1.4387 (1.4541) Prec@1 73.438 (66.495) Prec@5 82.812 (85.642) Epoch: [62][8000/10010] Time 0.324 (0.326) Data 0.001 (0.001) Loss 1.5223 (1.4540) Prec@1 67.969 (66.498) Prec@5 85.938 (85.644) Epoch: [62][8010/10010] Time 0.338 (0.326) Data 0.001 (0.001) Loss 1.1599 (1.4541) Prec@1 75.000 (66.497) Prec@5 90.625 (85.643) Epoch: [62][8020/10010] Time 0.335 (0.326) Data 0.001 (0.001) Loss 1.1238 (1.4540) Prec@1 72.656 (66.498) Prec@5 92.969 (85.644) Epoch: [62][8030/10010] Time 0.312 (0.326) Data 0.001 (0.001) Loss 1.6357 (1.4540) Prec@1 62.500 (66.497) Prec@5 84.375 (85.644) Epoch: [62][8040/10010] Time 0.319 (0.326) Data 0.000 (0.001) Loss 1.3360 (1.4540) Prec@1 67.969 (66.498) Prec@5 86.719 (85.644) Epoch: [62][8050/10010] Time 0.320 (0.326) Data 0.000 (0.001) Loss 1.3191 (1.4540) Prec@1 71.875 (66.498) Prec@5 85.156 (85.644) Epoch: [62][8060/10010] Time 0.341 (0.326) Data 0.001 (0.001) Loss 1.6139 (1.4540) Prec@1 63.281 (66.498) Prec@5 82.812 (85.645) Epoch: [62][8070/10010] Time 0.324 (0.326) Data 0.001 (0.001) Loss 1.2238 (1.4540) Prec@1 69.531 (66.497) Prec@5 86.719 (85.645) Epoch: [62][8080/10010] Time 0.328 (0.326) Data 0.001 (0.001) Loss 1.5658 (1.4540) Prec@1 63.281 (66.497) Prec@5 84.375 (85.643) Epoch: [62][8090/10010] Time 0.325 (0.326) Data 0.001 (0.001) Loss 1.1685 (1.4540) Prec@1 72.656 (66.496) Prec@5 87.500 (85.643) Epoch: [62][8100/10010] Time 0.322 (0.326) Data 0.001 (0.001) Loss 1.4277 (1.4540) Prec@1 67.969 (66.496) Prec@5 85.156 (85.642) Epoch: [62][8110/10010] Time 0.325 (0.326) Data 0.001 (0.001) Loss 1.1562 (1.4539) Prec@1 73.438 (66.497) Prec@5 90.625 (85.644) Epoch: [62][8120/10010] Time 0.317 (0.326) Data 0.001 (0.001) Loss 1.3495 (1.4539) Prec@1 64.062 (66.496) Prec@5 85.938 (85.644) Epoch: [62][8130/10010] Time 0.333 (0.326) Data 0.001 (0.001) Loss 1.5501 (1.4540) Prec@1 66.406 (66.494) Prec@5 85.156 (85.644) Epoch: [62][8140/10010] Time 0.333 (0.326) Data 0.001 (0.001) Loss 1.1337 (1.4540) Prec@1 72.656 (66.495) Prec@5 90.625 (85.643) Epoch: [62][8150/10010] Time 0.318 (0.326) Data 0.000 (0.001) Loss 1.5856 (1.4539) Prec@1 66.406 (66.497) Prec@5 84.375 (85.644) Epoch: [62][8160/10010] Time 0.328 (0.326) Data 0.001 (0.001) Loss 1.2977 (1.4540) Prec@1 65.625 (66.495) Prec@5 87.500 (85.644) Epoch: [62][8170/10010] Time 0.337 (0.326) Data 0.001 (0.001) Loss 1.3417 (1.4539) Prec@1 60.156 (66.497) Prec@5 91.406 (85.645) Epoch: [62][8180/10010] Time 0.320 (0.326) Data 0.000 (0.001) Loss 1.2502 (1.4537) Prec@1 71.094 (66.500) Prec@5 85.938 (85.646) Epoch: [62][8190/10010] Time 0.317 (0.326) Data 0.001 (0.001) Loss 1.3992 (1.4538) Prec@1 69.531 (66.498) Prec@5 87.500 (85.647) Epoch: [62][8200/10010] Time 0.316 (0.326) Data 0.001 (0.001) Loss 1.4758 (1.4538) Prec@1 67.969 (66.495) Prec@5 85.156 (85.645) Epoch: [62][8210/10010] Time 0.331 (0.326) Data 0.000 (0.001) Loss 1.4579 (1.4538) Prec@1 67.188 (66.495) Prec@5 85.938 (85.645) Epoch: [62][8220/10010] Time 0.325 (0.326) Data 0.001 (0.001) Loss 1.4180 (1.4538) Prec@1 67.969 (66.496) Prec@5 87.500 (85.647) Epoch: [62][8230/10010] Time 0.315 (0.326) Data 0.000 (0.001) Loss 1.6392 (1.4538) Prec@1 64.844 (66.497) Prec@5 82.031 (85.646) Epoch: [62][8240/10010] Time 0.321 (0.326) Data 0.001 (0.001) Loss 1.1196 (1.4538) Prec@1 75.781 (66.496) Prec@5 91.406 (85.646) Epoch: [62][8250/10010] Time 0.322 (0.326) Data 0.000 (0.001) Loss 1.5903 (1.4538) Prec@1 63.281 (66.497) Prec@5 82.031 (85.646) Epoch: [62][8260/10010] Time 0.321 (0.326) Data 0.000 (0.001) Loss 1.3586 (1.4538) Prec@1 68.750 (66.496) Prec@5 88.281 (85.646) Epoch: [62][8270/10010] Time 0.321 (0.326) Data 0.000 (0.001) Loss 1.7302 (1.4540) Prec@1 64.844 (66.496) Prec@5 79.688 (85.643) Epoch: [62][8280/10010] Time 0.337 (0.326) Data 0.000 (0.001) Loss 1.3492 (1.4539) Prec@1 72.656 (66.499) Prec@5 85.156 (85.643) Epoch: [62][8290/10010] Time 0.324 (0.326) Data 0.001 (0.001) Loss 1.2167 (1.4538) Prec@1 71.875 (66.500) Prec@5 89.844 (85.645) Epoch: [62][8300/10010] Time 0.333 (0.326) Data 0.001 (0.001) Loss 1.4400 (1.4537) Prec@1 63.281 (66.499) Prec@5 85.156 (85.646) Epoch: [62][8310/10010] Time 0.333 (0.326) Data 0.001 (0.001) Loss 1.3698 (1.4538) Prec@1 69.531 (66.497) Prec@5 89.062 (85.644) Epoch: [62][8320/10010] Time 0.315 (0.326) Data 0.001 (0.001) Loss 1.5069 (1.4537) Prec@1 64.062 (66.499) Prec@5 85.938 (85.646) Epoch: [62][8330/10010] Time 0.341 (0.326) Data 0.001 (0.001) Loss 1.2683 (1.4537) Prec@1 68.750 (66.500) Prec@5 87.500 (85.646) Epoch: [62][8340/10010] Time 0.333 (0.326) Data 0.001 (0.001) Loss 1.4845 (1.4536) Prec@1 66.406 (66.503) Prec@5 82.812 (85.648) Epoch: [62][8350/10010] Time 0.333 (0.326) Data 0.001 (0.001) Loss 1.5451 (1.4536) Prec@1 64.844 (66.503) Prec@5 86.719 (85.647) Epoch: [62][8360/10010] Time 0.333 (0.326) Data 0.001 (0.001) Loss 1.7288 (1.4536) Prec@1 53.125 (66.502) Prec@5 83.594 (85.648) Epoch: [62][8370/10010] Time 0.327 (0.326) Data 0.001 (0.001) Loss 1.4916 (1.4536) Prec@1 61.719 (66.503) Prec@5 85.938 (85.649) Epoch: [62][8380/10010] Time 0.320 (0.326) Data 0.001 (0.001) Loss 1.7613 (1.4536) Prec@1 62.500 (66.504) Prec@5 81.250 (85.648) Epoch: [62][8390/10010] Time 0.319 (0.326) Data 0.001 (0.001) Loss 1.4526 (1.4536) Prec@1 67.969 (66.505) Prec@5 86.719 (85.649) Epoch: [62][8400/10010] Time 0.333 (0.326) Data 0.001 (0.001) Loss 1.2610 (1.4535) Prec@1 73.438 (66.505) Prec@5 85.156 (85.650) Epoch: [62][8410/10010] Time 0.323 (0.326) Data 0.001 (0.001) Loss 1.3842 (1.4535) Prec@1 69.531 (66.505) Prec@5 84.375 (85.649) Epoch: [62][8420/10010] Time 0.321 (0.326) Data 0.001 (0.001) Loss 1.4484 (1.4535) Prec@1 67.188 (66.503) Prec@5 85.156 (85.650) Epoch: [62][8430/10010] Time 0.313 (0.326) Data 0.001 (0.001) Loss 1.4176 (1.4536) Prec@1 65.625 (66.503) Prec@5 86.719 (85.649) Epoch: [62][8440/10010] Time 0.336 (0.326) Data 0.001 (0.001) Loss 1.3729 (1.4537) Prec@1 65.625 (66.499) Prec@5 89.062 (85.649) Epoch: [62][8450/10010] Time 0.325 (0.326) Data 0.000 (0.001) Loss 1.5394 (1.4537) Prec@1 66.406 (66.499) Prec@5 87.500 (85.649) Epoch: [62][8460/10010] Time 0.319 (0.326) Data 0.000 (0.001) Loss 1.5754 (1.4536) Prec@1 66.406 (66.498) Prec@5 82.031 (85.649) Epoch: [62][8470/10010] Time 0.332 (0.326) Data 0.001 (0.001) Loss 1.3789 (1.4536) Prec@1 64.844 (66.498) Prec@5 83.594 (85.649) Epoch: [62][8480/10010] Time 0.330 (0.326) Data 0.001 (0.001) Loss 1.4372 (1.4537) Prec@1 67.969 (66.498) Prec@5 85.156 (85.649) Epoch: [62][8490/10010] Time 0.322 (0.326) Data 0.001 (0.001) Loss 1.3498 (1.4537) Prec@1 62.500 (66.496) Prec@5 89.844 (85.649) Epoch: [62][8500/10010] Time 0.312 (0.326) Data 0.001 (0.001) Loss 1.4858 (1.4537) Prec@1 67.188 (66.495) Prec@5 83.594 (85.649) Epoch: [62][8510/10010] Time 0.316 (0.326) Data 0.000 (0.001) Loss 1.4210 (1.4537) Prec@1 64.062 (66.493) Prec@5 85.156 (85.649) Epoch: [62][8520/10010] Time 0.329 (0.326) Data 0.001 (0.001) Loss 1.6615 (1.4537) Prec@1 61.719 (66.493) Prec@5 82.031 (85.649) Epoch: [62][8530/10010] Time 0.340 (0.326) Data 0.001 (0.001) Loss 1.4247 (1.4537) Prec@1 67.188 (66.494) Prec@5 83.594 (85.648) Epoch: [62][8540/10010] Time 0.318 (0.326) Data 0.000 (0.001) Loss 1.5449 (1.4537) Prec@1 66.406 (66.494) Prec@5 82.031 (85.648) Epoch: [62][8550/10010] Time 0.332 (0.326) Data 0.000 (0.001) Loss 1.4189 (1.4537) Prec@1 67.188 (66.491) Prec@5 86.719 (85.646) Epoch: [62][8560/10010] Time 0.333 (0.326) Data 0.000 (0.001) Loss 1.5551 (1.4537) Prec@1 70.312 (66.490) Prec@5 82.031 (85.646) Epoch: [62][8570/10010] Time 0.312 (0.326) Data 0.001 (0.001) Loss 1.3403 (1.4538) Prec@1 67.188 (66.489) Prec@5 87.500 (85.645) Epoch: [62][8580/10010] Time 0.313 (0.326) Data 0.000 (0.001) Loss 1.6198 (1.4538) Prec@1 66.406 (66.488) Prec@5 84.375 (85.645) Epoch: [62][8590/10010] Time 0.340 (0.326) Data 0.001 (0.001) Loss 1.4342 (1.4538) Prec@1 69.531 (66.490) Prec@5 86.719 (85.645) Epoch: [62][8600/10010] Time 0.316 (0.326) Data 0.001 (0.001) Loss 1.4621 (1.4538) Prec@1 64.062 (66.488) Prec@5 86.719 (85.644) Epoch: [62][8610/10010] Time 0.334 (0.326) Data 0.001 (0.001) Loss 1.5702 (1.4538) Prec@1 67.969 (66.489) Prec@5 82.812 (85.645) Epoch: [62][8620/10010] Time 0.334 (0.326) Data 0.001 (0.001) Loss 1.3115 (1.4537) Prec@1 66.406 (66.490) Prec@5 89.062 (85.645) Epoch: [62][8630/10010] Time 0.335 (0.326) Data 0.001 (0.001) Loss 1.5121 (1.4537) Prec@1 62.500 (66.491) Prec@5 85.156 (85.644) Epoch: [62][8640/10010] Time 0.316 (0.326) Data 0.001 (0.001) Loss 1.5459 (1.4537) Prec@1 61.719 (66.492) Prec@5 86.719 (85.644) Epoch: [62][8650/10010] Time 0.327 (0.326) Data 0.001 (0.001) Loss 1.3066 (1.4536) Prec@1 73.438 (66.497) Prec@5 89.062 (85.644) Epoch: [62][8660/10010] Time 0.317 (0.326) Data 0.000 (0.001) Loss 1.3789 (1.4537) Prec@1 71.094 (66.496) Prec@5 86.719 (85.642) Epoch: [62][8670/10010] Time 0.341 (0.326) Data 0.000 (0.001) Loss 1.5780 (1.4536) Prec@1 68.750 (66.497) Prec@5 82.812 (85.643) Epoch: [62][8680/10010] Time 0.337 (0.326) Data 0.001 (0.001) Loss 1.2723 (1.4536) Prec@1 69.531 (66.498) Prec@5 85.938 (85.642) Epoch: [62][8690/10010] Time 0.311 (0.326) Data 0.001 (0.001) Loss 1.4519 (1.4536) Prec@1 67.188 (66.498) Prec@5 87.500 (85.642) Epoch: [62][8700/10010] Time 0.330 (0.326) Data 0.000 (0.001) Loss 1.3680 (1.4535) Prec@1 66.406 (66.500) Prec@5 86.719 (85.642) Epoch: [62][8710/10010] Time 0.335 (0.326) Data 0.001 (0.001) Loss 1.8547 (1.4535) Prec@1 58.594 (66.499) Prec@5 76.562 (85.642) Epoch: [62][8720/10010] Time 0.330 (0.326) Data 0.001 (0.001) Loss 1.5433 (1.4535) Prec@1 63.281 (66.500) Prec@5 85.938 (85.642) Epoch: [62][8730/10010] Time 0.339 (0.326) Data 0.003 (0.001) Loss 1.2925 (1.4536) Prec@1 67.188 (66.499) Prec@5 86.719 (85.641) Epoch: [62][8740/10010] Time 0.337 (0.326) Data 0.001 (0.001) Loss 1.5587 (1.4537) Prec@1 61.719 (66.497) Prec@5 85.156 (85.640) Epoch: [62][8750/10010] Time 0.326 (0.326) Data 0.001 (0.001) Loss 1.3811 (1.4537) Prec@1 70.312 (66.497) Prec@5 85.938 (85.638) Epoch: [62][8760/10010] Time 0.340 (0.326) Data 0.000 (0.001) Loss 1.5056 (1.4538) Prec@1 58.594 (66.496) Prec@5 85.938 (85.638) Epoch: [62][8770/10010] Time 0.323 (0.326) Data 0.001 (0.001) Loss 1.4750 (1.4538) Prec@1 66.406 (66.496) Prec@5 82.031 (85.638) Epoch: [62][8780/10010] Time 0.319 (0.326) Data 0.000 (0.001) Loss 1.2126 (1.4537) Prec@1 68.750 (66.496) Prec@5 92.188 (85.638) Epoch: [62][8790/10010] Time 0.335 (0.326) Data 0.000 (0.001) Loss 1.3840 (1.4536) Prec@1 70.312 (66.497) Prec@5 82.031 (85.638) Epoch: [62][8800/10010] Time 0.339 (0.326) Data 0.000 (0.001) Loss 1.2913 (1.4536) Prec@1 67.188 (66.498) Prec@5 86.719 (85.638) Epoch: [62][8810/10010] Time 0.326 (0.326) Data 0.001 (0.001) Loss 1.5136 (1.4536) Prec@1 66.406 (66.499) Prec@5 82.812 (85.637) Epoch: [62][8820/10010] Time 0.316 (0.326) Data 0.001 (0.001) Loss 1.4879 (1.4536) Prec@1 63.281 (66.501) Prec@5 85.156 (85.639) Epoch: [62][8830/10010] Time 0.328 (0.326) Data 0.000 (0.001) Loss 1.4469 (1.4536) Prec@1 69.531 (66.501) Prec@5 84.375 (85.639) Epoch: [62][8840/10010] Time 0.314 (0.326) Data 0.001 (0.001) Loss 1.5710 (1.4536) Prec@1 62.500 (66.499) Prec@5 82.812 (85.639) Epoch: [62][8850/10010] Time 0.326 (0.326) Data 0.001 (0.001) Loss 1.6317 (1.4537) Prec@1 59.375 (66.497) Prec@5 82.812 (85.637) Epoch: [62][8860/10010] Time 0.332 (0.326) Data 0.001 (0.001) Loss 1.5083 (1.4537) Prec@1 71.094 (66.497) Prec@5 83.594 (85.638) Epoch: [62][8870/10010] Time 0.336 (0.326) Data 0.001 (0.001) Loss 1.7242 (1.4538) Prec@1 63.281 (66.498) Prec@5 82.812 (85.636) Epoch: [62][8880/10010] Time 0.327 (0.326) Data 0.001 (0.001) Loss 1.2837 (1.4539) Prec@1 72.656 (66.498) Prec@5 88.281 (85.635) Epoch: [62][8890/10010] Time 0.336 (0.326) Data 0.000 (0.001) Loss 1.7261 (1.4540) Prec@1 58.594 (66.496) Prec@5 83.594 (85.634) Epoch: [62][8900/10010] Time 0.325 (0.326) Data 0.001 (0.001) Loss 1.5114 (1.4541) Prec@1 67.969 (66.497) Prec@5 87.500 (85.634) Epoch: [62][8910/10010] Time 0.329 (0.326) Data 0.001 (0.001) Loss 1.5464 (1.4541) Prec@1 64.062 (66.496) Prec@5 85.156 (85.634) Epoch: [62][8920/10010] Time 0.326 (0.326) Data 0.000 (0.001) Loss 1.4821 (1.4540) Prec@1 64.844 (66.496) Prec@5 85.156 (85.635) Epoch: [62][8930/10010] Time 0.321 (0.326) Data 0.001 (0.001) Loss 1.2206 (1.4540) Prec@1 69.531 (66.496) Prec@5 86.719 (85.636) Epoch: [62][8940/10010] Time 0.326 (0.326) Data 0.000 (0.001) Loss 1.3238 (1.4540) Prec@1 69.531 (66.497) Prec@5 86.719 (85.636) Epoch: [62][8950/10010] Time 0.318 (0.326) Data 0.000 (0.001) Loss 1.2931 (1.4540) Prec@1 72.656 (66.498) Prec@5 88.281 (85.635) Epoch: [62][8960/10010] Time 0.323 (0.326) Data 0.001 (0.001) Loss 1.6133 (1.4540) Prec@1 60.156 (66.497) Prec@5 83.594 (85.635) Epoch: [62][8970/10010] Time 0.319 (0.326) Data 0.000 (0.001) Loss 1.5023 (1.4540) Prec@1 67.969 (66.497) Prec@5 84.375 (85.635) Epoch: [62][8980/10010] Time 0.334 (0.326) Data 0.001 (0.001) Loss 1.6055 (1.4541) Prec@1 63.281 (66.495) Prec@5 85.938 (85.633) Epoch: [62][8990/10010] Time 0.323 (0.326) Data 0.001 (0.001) Loss 1.3580 (1.4540) Prec@1 67.969 (66.497) Prec@5 86.719 (85.635) Epoch: [62][9000/10010] Time 0.319 (0.326) Data 0.001 (0.001) Loss 1.5151 (1.4540) Prec@1 66.406 (66.497) Prec@5 84.375 (85.635) Epoch: [62][9010/10010] Time 0.338 (0.326) Data 0.001 (0.001) Loss 1.4722 (1.4541) Prec@1 68.750 (66.496) Prec@5 88.281 (85.634) Epoch: [62][9020/10010] Time 0.329 (0.326) Data 0.001 (0.001) Loss 1.5244 (1.4541) Prec@1 62.500 (66.493) Prec@5 82.031 (85.634) Epoch: [62][9030/10010] Time 0.339 (0.326) Data 0.001 (0.001) Loss 1.4656 (1.4540) Prec@1 66.406 (66.494) Prec@5 85.938 (85.635) Epoch: [62][9040/10010] Time 0.338 (0.326) Data 0.000 (0.001) Loss 1.3346 (1.4540) Prec@1 64.062 (66.493) Prec@5 85.156 (85.635) Epoch: [62][9050/10010] Time 0.320 (0.326) Data 0.001 (0.001) Loss 1.3893 (1.4540) Prec@1 66.406 (66.490) Prec@5 86.719 (85.635) Epoch: [62][9060/10010] Time 0.318 (0.326) Data 0.001 (0.001) Loss 1.3971 (1.4541) Prec@1 68.750 (66.490) Prec@5 85.938 (85.635) Epoch: [62][9070/10010] Time 0.329 (0.326) Data 0.000 (0.001) Loss 1.3757 (1.4541) Prec@1 63.281 (66.488) Prec@5 90.625 (85.635) Epoch: [62][9080/10010] Time 0.320 (0.326) Data 0.001 (0.001) Loss 1.8525 (1.4542) Prec@1 60.156 (66.486) Prec@5 81.250 (85.632) Epoch: [62][9090/10010] Time 0.330 (0.326) Data 0.001 (0.001) Loss 1.3911 (1.4543) Prec@1 64.844 (66.485) Prec@5 85.938 (85.632) Epoch: [62][9100/10010] Time 0.327 (0.326) Data 0.001 (0.001) Loss 1.7181 (1.4543) Prec@1 62.500 (66.484) Prec@5 83.594 (85.633) Epoch: [62][9110/10010] Time 0.311 (0.326) Data 0.001 (0.001) Loss 1.3646 (1.4543) Prec@1 71.875 (66.485) Prec@5 87.500 (85.633) Epoch: [62][9120/10010] Time 0.322 (0.326) Data 0.000 (0.001) Loss 1.3453 (1.4542) Prec@1 67.188 (66.487) Prec@5 85.938 (85.634) Epoch: [62][9130/10010] Time 0.326 (0.326) Data 0.001 (0.001) Loss 1.6132 (1.4543) Prec@1 64.062 (66.488) Prec@5 82.812 (85.634) Epoch: [62][9140/10010] Time 0.335 (0.326) Data 0.000 (0.001) Loss 1.6681 (1.4543) Prec@1 64.844 (66.488) Prec@5 85.156 (85.634) Epoch: [62][9150/10010] Time 0.338 (0.326) Data 0.001 (0.001) Loss 1.3941 (1.4543) Prec@1 65.625 (66.488) Prec@5 88.281 (85.635) Epoch: [62][9160/10010] Time 0.319 (0.326) Data 0.001 (0.001) Loss 1.5282 (1.4543) Prec@1 65.625 (66.487) Prec@5 86.719 (85.635) Epoch: [62][9170/10010] Time 0.340 (0.326) Data 0.000 (0.001) Loss 1.4105 (1.4543) Prec@1 65.625 (66.487) Prec@5 85.938 (85.635) Epoch: [62][9180/10010] Time 0.322 (0.326) Data 0.000 (0.001) Loss 1.5075 (1.4543) Prec@1 67.188 (66.486) Prec@5 85.938 (85.635) Epoch: [62][9190/10010] Time 0.323 (0.326) Data 0.000 (0.001) Loss 1.3176 (1.4543) Prec@1 67.188 (66.486) Prec@5 89.844 (85.636) Epoch: [62][9200/10010] Time 0.330 (0.326) Data 0.001 (0.001) Loss 1.3357 (1.4542) Prec@1 69.531 (66.487) Prec@5 88.281 (85.638) Epoch: [62][9210/10010] Time 0.327 (0.326) Data 0.000 (0.001) Loss 1.6980 (1.4542) Prec@1 62.500 (66.486) Prec@5 85.938 (85.638) Epoch: [62][9220/10010] Time 0.336 (0.326) Data 0.001 (0.001) Loss 1.6332 (1.4542) Prec@1 60.938 (66.487) Prec@5 82.031 (85.638) Epoch: [62][9230/10010] Time 0.335 (0.326) Data 0.000 (0.001) Loss 1.5875 (1.4542) Prec@1 57.812 (66.488) Prec@5 81.250 (85.639) Epoch: [62][9240/10010] Time 0.334 (0.326) Data 0.001 (0.001) Loss 1.5517 (1.4541) Prec@1 64.062 (66.488) Prec@5 81.250 (85.639) Epoch: [62][9250/10010] Time 0.331 (0.326) Data 0.000 (0.001) Loss 1.6458 (1.4542) Prec@1 58.594 (66.489) Prec@5 83.594 (85.639) Epoch: [62][9260/10010] Time 0.330 (0.326) Data 0.000 (0.001) Loss 1.5293 (1.4542) Prec@1 71.094 (66.489) Prec@5 85.938 (85.639) Epoch: [62][9270/10010] Time 0.327 (0.326) Data 0.001 (0.001) Loss 1.4248 (1.4542) Prec@1 67.969 (66.491) Prec@5 79.688 (85.638) Epoch: [62][9280/10010] Time 0.331 (0.326) Data 0.001 (0.001) Loss 1.4840 (1.4542) Prec@1 63.281 (66.489) Prec@5 85.938 (85.636) Epoch: [62][9290/10010] Time 0.329 (0.326) Data 0.001 (0.001) Loss 1.1252 (1.4543) Prec@1 71.875 (66.490) Prec@5 89.844 (85.636) Epoch: [62][9300/10010] Time 0.343 (0.326) Data 0.000 (0.001) Loss 1.2679 (1.4542) Prec@1 72.656 (66.490) Prec@5 88.281 (85.637) Epoch: [62][9310/10010] Time 0.319 (0.326) Data 0.001 (0.001) Loss 1.2609 (1.4542) Prec@1 73.438 (66.490) Prec@5 86.719 (85.638) Epoch: [62][9320/10010] Time 0.331 (0.326) Data 0.000 (0.001) Loss 1.4306 (1.4541) Prec@1 69.531 (66.492) Prec@5 85.156 (85.639) Epoch: [62][9330/10010] Time 0.330 (0.326) Data 0.001 (0.001) Loss 1.5309 (1.4542) Prec@1 66.406 (66.491) Prec@5 85.938 (85.638) Epoch: [62][9340/10010] Time 0.336 (0.326) Data 0.001 (0.001) Loss 1.2117 (1.4541) Prec@1 72.656 (66.493) Prec@5 89.062 (85.639) Epoch: [62][9350/10010] Time 0.331 (0.326) Data 0.001 (0.001) Loss 1.3354 (1.4541) Prec@1 67.969 (66.493) Prec@5 85.938 (85.638) Epoch: [62][9360/10010] Time 0.339 (0.326) Data 0.000 (0.001) Loss 1.4034 (1.4541) Prec@1 67.188 (66.494) Prec@5 86.719 (85.638) Epoch: [62][9370/10010] Time 0.339 (0.326) Data 0.001 (0.001) Loss 1.6628 (1.4542) Prec@1 64.062 (66.494) Prec@5 84.375 (85.639) Epoch: [62][9380/10010] Time 0.330 (0.326) Data 0.000 (0.001) Loss 1.3330 (1.4542) Prec@1 68.750 (66.494) Prec@5 88.281 (85.638) Epoch: [62][9390/10010] Time 0.339 (0.326) Data 0.001 (0.001) Loss 1.5278 (1.4543) Prec@1 66.406 (66.494) Prec@5 82.812 (85.635) Epoch: [62][9400/10010] Time 0.328 (0.326) Data 0.000 (0.001) Loss 1.5877 (1.4542) Prec@1 65.625 (66.494) Prec@5 83.594 (85.636) Epoch: [62][9410/10010] Time 0.313 (0.326) Data 0.001 (0.001) Loss 1.2342 (1.4542) Prec@1 71.875 (66.493) Prec@5 89.062 (85.635) Epoch: [62][9420/10010] Time 0.336 (0.326) Data 0.001 (0.001) Loss 1.5398 (1.4543) Prec@1 64.844 (66.492) Prec@5 81.250 (85.635) Epoch: [62][9430/10010] Time 0.341 (0.326) Data 0.001 (0.001) Loss 1.6017 (1.4543) Prec@1 60.938 (66.492) Prec@5 85.938 (85.634) Epoch: [62][9440/10010] Time 0.320 (0.326) Data 0.001 (0.001) Loss 1.5131 (1.4544) Prec@1 65.625 (66.491) Prec@5 81.250 (85.633) Epoch: [62][9450/10010] Time 0.338 (0.326) Data 0.000 (0.001) Loss 1.5191 (1.4544) Prec@1 64.062 (66.490) Prec@5 85.156 (85.634) Epoch: [62][9460/10010] Time 0.330 (0.326) Data 0.001 (0.001) Loss 1.5004 (1.4544) Prec@1 67.188 (66.490) Prec@5 84.375 (85.635) Epoch: [62][9470/10010] Time 0.323 (0.326) Data 0.001 (0.001) Loss 1.4895 (1.4544) Prec@1 64.062 (66.491) Prec@5 90.625 (85.635) Epoch: [62][9480/10010] Time 0.319 (0.326) Data 0.001 (0.001) Loss 1.2804 (1.4544) Prec@1 64.062 (66.490) Prec@5 85.156 (85.633) Epoch: [62][9490/10010] Time 0.318 (0.326) Data 0.001 (0.001) Loss 1.2970 (1.4544) Prec@1 70.312 (66.492) Prec@5 88.281 (85.634) Epoch: [62][9500/10010] Time 0.330 (0.326) Data 0.000 (0.001) Loss 1.4955 (1.4545) Prec@1 60.156 (66.489) Prec@5 85.156 (85.634) Epoch: [62][9510/10010] Time 0.337 (0.326) Data 0.001 (0.001) Loss 1.4520 (1.4545) Prec@1 67.969 (66.488) Prec@5 82.812 (85.635) Epoch: [62][9520/10010] Time 0.322 (0.326) Data 0.000 (0.001) Loss 1.3897 (1.4544) Prec@1 69.531 (66.489) Prec@5 87.500 (85.635) Epoch: [62][9530/10010] Time 0.332 (0.326) Data 0.001 (0.001) Loss 1.4190 (1.4544) Prec@1 66.406 (66.488) Prec@5 87.500 (85.636) Epoch: [62][9540/10010] Time 0.312 (0.326) Data 0.001 (0.001) Loss 1.1492 (1.4544) Prec@1 71.094 (66.488) Prec@5 89.062 (85.637) Epoch: [62][9550/10010] Time 0.315 (0.326) Data 0.000 (0.001) Loss 1.2183 (1.4543) Prec@1 69.531 (66.487) Prec@5 90.625 (85.637) Epoch: [62][9560/10010] Time 0.336 (0.326) Data 0.001 (0.001) Loss 1.3803 (1.4543) Prec@1 67.969 (66.488) Prec@5 85.938 (85.638) Epoch: [62][9570/10010] Time 0.338 (0.326) Data 0.001 (0.001) Loss 1.5583 (1.4543) Prec@1 60.156 (66.488) Prec@5 81.250 (85.636) Epoch: [62][9580/10010] Time 0.312 (0.327) Data 0.001 (0.001) Loss 1.3258 (1.4542) Prec@1 68.750 (66.490) Prec@5 88.281 (85.639) Epoch: [62][9590/10010] Time 0.319 (0.327) Data 0.001 (0.001) Loss 1.4028 (1.4542) Prec@1 64.062 (66.489) Prec@5 91.406 (85.639) Epoch: [62][9600/10010] Time 0.310 (0.327) Data 0.000 (0.001) Loss 1.4141 (1.4542) Prec@1 66.406 (66.489) Prec@5 86.719 (85.638) Epoch: [62][9610/10010] Time 0.319 (0.327) Data 0.001 (0.001) Loss 1.3427 (1.4542) Prec@1 70.312 (66.489) Prec@5 87.500 (85.638) Epoch: [62][9620/10010] Time 0.339 (0.327) Data 0.001 (0.001) Loss 1.6382 (1.4542) Prec@1 64.844 (66.489) Prec@5 82.031 (85.638) Epoch: [62][9630/10010] Time 0.313 (0.327) Data 0.001 (0.001) Loss 1.5381 (1.4542) Prec@1 68.750 (66.490) Prec@5 82.031 (85.638) Epoch: [62][9640/10010] Time 0.332 (0.327) Data 0.001 (0.001) Loss 1.2077 (1.4541) Prec@1 70.312 (66.491) Prec@5 89.844 (85.640) Epoch: [62][9650/10010] Time 0.326 (0.327) Data 0.001 (0.001) Loss 1.6329 (1.4541) Prec@1 63.281 (66.491) Prec@5 81.250 (85.639) Epoch: [62][9660/10010] Time 0.338 (0.327) Data 0.000 (0.001) Loss 1.4554 (1.4542) Prec@1 65.625 (66.490) Prec@5 85.938 (85.638) Epoch: [62][9670/10010] Time 0.333 (0.327) Data 0.000 (0.001) Loss 1.5525 (1.4542) Prec@1 62.500 (66.489) Prec@5 84.375 (85.638) Epoch: [62][9680/10010] Time 0.323 (0.327) Data 0.000 (0.001) Loss 1.3402 (1.4542) Prec@1 64.844 (66.488) Prec@5 86.719 (85.637) Epoch: [62][9690/10010] Time 0.335 (0.327) Data 0.001 (0.001) Loss 1.4049 (1.4542) Prec@1 67.188 (66.487) Prec@5 87.500 (85.639) Epoch: [62][9700/10010] Time 0.328 (0.327) Data 0.001 (0.001) Loss 1.6133 (1.4541) Prec@1 60.156 (66.487) Prec@5 82.031 (85.640) Epoch: [62][9710/10010] Time 0.319 (0.327) Data 0.001 (0.001) Loss 1.3763 (1.4540) Prec@1 65.625 (66.488) Prec@5 89.062 (85.640) Epoch: [62][9720/10010] Time 0.338 (0.327) Data 0.001 (0.001) Loss 1.4548 (1.4540) Prec@1 68.750 (66.488) Prec@5 85.938 (85.639) Epoch: [62][9730/10010] Time 0.317 (0.327) Data 0.001 (0.001) Loss 1.3276 (1.4540) Prec@1 67.969 (66.489) Prec@5 92.188 (85.641) Epoch: [62][9740/10010] Time 0.340 (0.327) Data 0.001 (0.001) Loss 1.5694 (1.4540) Prec@1 66.406 (66.489) Prec@5 83.594 (85.641) Epoch: [62][9750/10010] Time 0.338 (0.327) Data 0.000 (0.001) Loss 1.3069 (1.4539) Prec@1 65.625 (66.489) Prec@5 87.500 (85.642) Epoch: [62][9760/10010] Time 0.314 (0.327) Data 0.001 (0.001) Loss 1.5693 (1.4540) Prec@1 61.719 (66.487) Prec@5 85.938 (85.643) Epoch: [62][9770/10010] Time 0.319 (0.327) Data 0.001 (0.001) Loss 1.3628 (1.4539) Prec@1 68.750 (66.488) Prec@5 89.844 (85.643) Epoch: [62][9780/10010] Time 0.317 (0.327) Data 0.001 (0.001) Loss 1.2360 (1.4539) Prec@1 71.094 (66.488) Prec@5 89.062 (85.645) Epoch: [62][9790/10010] Time 0.326 (0.327) Data 0.000 (0.001) Loss 1.4172 (1.4539) Prec@1 64.844 (66.488) Prec@5 82.812 (85.645) Epoch: [62][9800/10010] Time 0.312 (0.327) Data 0.001 (0.001) Loss 1.3848 (1.4539) Prec@1 62.500 (66.488) Prec@5 85.938 (85.645) Epoch: [62][9810/10010] Time 0.329 (0.327) Data 0.001 (0.001) Loss 1.6268 (1.4539) Prec@1 64.062 (66.487) Prec@5 82.812 (85.643) Epoch: [62][9820/10010] Time 0.337 (0.327) Data 0.001 (0.001) Loss 1.5751 (1.4539) Prec@1 68.750 (66.489) Prec@5 84.375 (85.643) Epoch: [62][9830/10010] Time 0.322 (0.327) Data 0.001 (0.001) Loss 1.4924 (1.4540) Prec@1 67.969 (66.486) Prec@5 83.594 (85.641) Epoch: [62][9840/10010] Time 0.340 (0.327) Data 0.000 (0.001) Loss 1.3666 (1.4540) Prec@1 66.406 (66.487) Prec@5 85.156 (85.642) Epoch: [62][9850/10010] Time 0.322 (0.327) Data 0.001 (0.001) Loss 1.5096 (1.4540) Prec@1 71.094 (66.488) Prec@5 84.375 (85.643) Epoch: [62][9860/10010] Time 0.339 (0.327) Data 0.001 (0.001) Loss 1.6074 (1.4540) Prec@1 64.062 (66.486) Prec@5 83.594 (85.642) Epoch: [62][9870/10010] Time 0.311 (0.327) Data 0.001 (0.001) Loss 1.5352 (1.4542) Prec@1 66.406 (66.483) Prec@5 83.594 (85.640) Epoch: [62][9880/10010] Time 0.329 (0.327) Data 0.001 (0.001) Loss 1.4874 (1.4542) Prec@1 60.156 (66.483) Prec@5 83.594 (85.639) Epoch: [62][9890/10010] Time 0.330 (0.327) Data 0.001 (0.001) Loss 1.1991 (1.4542) Prec@1 75.000 (66.484) Prec@5 92.188 (85.641) Epoch: [62][9900/10010] Time 0.329 (0.327) Data 0.001 (0.001) Loss 1.2798 (1.4541) Prec@1 69.531 (66.487) Prec@5 88.281 (85.640) Epoch: [62][9910/10010] Time 0.330 (0.327) Data 0.001 (0.001) Loss 1.3791 (1.4541) Prec@1 65.625 (66.487) Prec@5 85.156 (85.640) Epoch: [62][9920/10010] Time 0.322 (0.327) Data 0.001 (0.001) Loss 1.2116 (1.4540) Prec@1 68.750 (66.489) Prec@5 89.062 (85.641) Epoch: [62][9930/10010] Time 0.327 (0.327) Data 0.000 (0.001) Loss 1.6056 (1.4542) Prec@1 67.969 (66.488) Prec@5 78.906 (85.639) Epoch: [62][9940/10010] Time 0.319 (0.327) Data 0.001 (0.001) Loss 1.7436 (1.4541) Prec@1 68.750 (66.490) Prec@5 79.688 (85.639) Epoch: [62][9950/10010] Time 0.339 (0.327) Data 0.001 (0.001) Loss 1.2973 (1.4541) Prec@1 68.750 (66.490) Prec@5 88.281 (85.639) Epoch: [62][9960/10010] Time 0.329 (0.327) Data 0.001 (0.001) Loss 1.2377 (1.4541) Prec@1 70.312 (66.491) Prec@5 86.719 (85.639) Epoch: [62][9970/10010] Time 0.323 (0.327) Data 0.001 (0.001) Loss 1.7136 (1.4542) Prec@1 62.500 (66.491) Prec@5 82.812 (85.638) Epoch: [62][9980/10010] Time 0.319 (0.327) Data 0.001 (0.001) Loss 1.7565 (1.4541) Prec@1 61.719 (66.492) Prec@5 80.469 (85.639) Epoch: [62][9990/10010] Time 0.329 (0.327) Data 0.001 (0.001) Loss 1.4899 (1.4541) Prec@1 65.625 (66.492) Prec@5 84.375 (85.639) Epoch: [62][10000/10010] Time 0.316 (0.327) Data 0.000 (0.001) Loss 1.4042 (1.4541) Prec@1 67.188 (66.493) Prec@5 89.844 (85.639) Test: [0/391] Time 1.584 (1.584) Loss 0.7031 (0.7031) Prec@1 84.375 (84.375) Prec@5 96.094 (96.094) Test: [10/391] Time 0.109 (0.250) Loss 1.1689 (0.6500) Prec@1 71.875 (84.304) Prec@5 89.844 (95.241) Test: [20/391] Time 0.124 (0.185) Loss 0.8360 (0.9241) Prec@1 78.125 (76.935) Prec@5 92.969 (92.113) Test: [30/391] Time 0.124 (0.164) Loss 1.7587 (1.0582) Prec@1 66.406 (73.160) Prec@5 85.156 (91.255) Test: [40/391] Time 0.113 (0.153) Loss 0.9553 (0.9550) Prec@1 77.344 (75.877) Prec@5 91.406 (92.264) Test: [50/391] Time 0.123 (0.148) Loss 0.5625 (0.9739) Prec@1 85.156 (75.812) Prec@5 95.312 (91.973) Test: [60/391] Time 0.123 (0.142) Loss 1.0306 (0.9230) Prec@1 75.781 (77.216) Prec@5 90.625 (92.482) Test: [70/391] Time 0.124 (0.138) Loss 1.1269 (0.9527) Prec@1 66.406 (76.188) Prec@5 93.750 (92.496) Test: [80/391] Time 0.125 (0.136) Loss 1.0205 (0.9685) Prec@1 73.438 (75.347) Prec@5 92.969 (92.525) Test: [90/391] Time 0.119 (0.134) Loss 1.2032 (0.9725) Prec@1 55.469 (75.069) Prec@5 92.969 (92.660) Test: [100/391] Time 0.099 (0.133) Loss 0.7998 (0.9667) Prec@1 78.906 (74.892) Prec@5 95.312 (92.891) Test: [110/391] Time 0.122 (0.132) Loss 1.3115 (0.9695) Prec@1 49.219 (74.599) Prec@5 94.531 (93.046) Test: [120/391] Time 0.126 (0.131) Loss 0.7912 (0.9654) Prec@1 82.031 (74.826) Prec@5 95.312 (93.085) Test: [130/391] Time 0.116 (0.129) Loss 0.5066 (0.9589) Prec@1 90.625 (75.179) Prec@5 96.094 (93.142) Test: [140/391] Time 0.117 (0.128) Loss 1.2672 (0.9568) Prec@1 64.844 (75.122) Prec@5 89.844 (93.179) Test: [150/391] Time 0.102 (0.128) Loss 0.9555 (0.9611) Prec@1 69.531 (75.155) Prec@5 92.188 (93.020) Test: [160/391] Time 0.122 (0.127) Loss 1.0044 (0.9692) Prec@1 69.531 (74.942) Prec@5 92.188 (92.959) Test: [170/391] Time 0.128 (0.126) Loss 1.7228 (1.0004) Prec@1 53.906 (74.315) Prec@5 87.500 (92.631) Test: [180/391] Time 0.105 (0.126) Loss 1.9993 (1.0306) Prec@1 47.656 (73.658) Prec@5 84.375 (92.291) Test: [190/391] Time 0.108 (0.125) Loss 2.1606 (1.0650) Prec@1 53.906 (72.975) Prec@5 82.031 (91.828) Test: [200/391] Time 0.103 (0.124) Loss 1.2677 (1.0963) Prec@1 66.406 (72.326) Prec@5 89.844 (91.387) Test: [210/391] Time 0.106 (0.123) Loss 1.5170 (1.1125) Prec@1 64.844 (72.042) Prec@5 87.500 (91.217) Test: [220/391] Time 0.108 (0.123) Loss 0.6121 (1.1238) Prec@1 83.594 (71.893) Prec@5 96.094 (90.989) Test: [230/391] Time 0.105 (0.122) Loss 2.1019 (1.1373) Prec@1 50.781 (71.659) Prec@5 81.250 (90.835) Test: [240/391] Time 0.108 (0.121) Loss 1.3399 (1.1461) Prec@1 73.438 (71.557) Prec@5 86.719 (90.687) Test: [250/391] Time 0.102 (0.121) Loss 0.8784 (1.1712) Prec@1 78.125 (70.969) Prec@5 92.188 (90.367) Test: [260/391] Time 0.101 (0.120) Loss 1.4042 (1.1870) Prec@1 66.406 (70.627) Prec@5 86.719 (90.197) Test: [270/391] Time 0.108 (0.120) Loss 1.8659 (1.1986) Prec@1 54.688 (70.367) Prec@5 85.156 (90.031) Test: [280/391] Time 0.105 (0.119) Loss 1.1999 (1.2048) Prec@1 67.969 (70.312) Prec@5 91.406 (89.958) Test: [290/391] Time 0.111 (0.119) Loss 1.6250 (1.2161) Prec@1 54.688 (70.127) Prec@5 88.281 (89.755) Test: [300/391] Time 0.103 (0.119) Loss 1.2833 (1.2268) Prec@1 75.781 (69.910) Prec@5 88.281 (89.597) Test: [310/391] Time 0.103 (0.118) Loss 1.4860 (1.2357) Prec@1 67.188 (69.767) Prec@5 85.938 (89.447) Test: [320/391] Time 0.113 (0.118) Loss 0.8119 (1.2430) Prec@1 84.375 (69.636) Prec@5 92.188 (89.357) Test: [330/391] Time 0.111 (0.118) Loss 1.9151 (1.2622) Prec@1 56.250 (69.203) Prec@5 80.469 (89.122) Test: [340/391] Time 0.100 (0.117) Loss 1.1904 (1.2669) Prec@1 62.500 (69.066) Prec@5 93.750 (89.058) Test: [350/391] Time 0.104 (0.117) Loss 1.3623 (1.2717) Prec@1 67.969 (68.984) Prec@5 89.062 (88.978) Test: [360/391] Time 0.102 (0.117) Loss 1.4144 (1.2805) Prec@1 62.500 (68.817) Prec@5 89.844 (88.926) Test: [370/391] Time 0.108 (0.116) Loss 1.1488 (1.2738) Prec@1 66.406 (68.927) Prec@5 95.312 (89.014) Test: [380/391] Time 0.114 (0.117) Loss 1.0294 (1.2750) Prec@1 75.781 (68.908) Prec@5 92.969 (88.993) Test: [390/391] Time 0.069 (0.116) Loss 2.0258 (1.2682) Prec@1 46.250 (69.068) Prec@5 81.250 (89.076) * Prec@1 69.068 Prec@5 89.076 Epoch: [63][0/10010] Time 2.590 (2.590) Data 2.407 (2.407) Loss 1.2679 (1.2679) Prec@1 71.094 (71.094) Prec@5 88.281 (88.281) Epoch: [63][10/10010] Time 0.322 (0.523) Data 0.000 (0.228) Loss 1.7365 (1.3351) Prec@1 60.156 (68.963) Prec@5 81.250 (87.074) Epoch: [63][20/10010] Time 0.307 (0.424) Data 0.001 (0.120) Loss 1.4935 (1.4249) Prec@1 66.406 (67.634) Prec@5 85.156 (86.086) Epoch: [63][30/10010] Time 0.311 (0.390) Data 0.001 (0.081) Loss 1.3523 (1.4011) Prec@1 68.750 (67.666) Prec@5 87.500 (86.416) Epoch: [63][40/10010] Time 0.317 (0.372) Data 0.001 (0.062) Loss 1.6031 (1.4246) Prec@1 66.406 (67.359) Prec@5 84.375 (86.052) Epoch: [63][50/10010] Time 0.331 (0.362) Data 0.001 (0.050) Loss 1.2670 (1.4366) Prec@1 72.656 (67.019) Prec@5 84.375 (85.938) Epoch: [63][60/10010] Time 0.313 (0.356) Data 0.001 (0.042) Loss 1.4485 (1.4376) Prec@1 64.062 (66.829) Prec@5 89.062 (85.976) Epoch: [63][70/10010] Time 0.317 (0.351) Data 0.001 (0.036) Loss 1.3607 (1.4473) Prec@1 68.750 (66.868) Prec@5 86.719 (85.805) Epoch: [63][80/10010] Time 0.313 (0.347) Data 0.001 (0.032) Loss 1.7202 (1.4387) Prec@1 64.844 (67.062) Prec@5 81.250 (85.802) Epoch: [63][90/10010] Time 0.323 (0.345) Data 0.000 (0.028) Loss 1.2696 (1.4361) Prec@1 71.094 (67.016) Prec@5 88.281 (85.800) Epoch: [63][100/10010] Time 0.326 (0.343) Data 0.001 (0.026) Loss 1.2302 (1.4420) Prec@1 71.094 (66.808) Prec@5 88.281 (85.713) Epoch: [63][110/10010] Time 0.329 (0.342) Data 0.001 (0.023) Loss 1.2439 (1.4439) Prec@1 71.094 (66.744) Prec@5 87.500 (85.733) Epoch: [63][120/10010] Time 0.322 (0.341) Data 0.001 (0.021) Loss 1.7504 (1.4391) Prec@1 60.156 (66.813) Prec@5 81.250 (85.828) Epoch: [63][130/10010] Time 0.328 (0.340) Data 0.001 (0.020) Loss 1.5892 (1.4411) Prec@1 66.406 (66.812) Prec@5 85.156 (85.759) Epoch: [63][140/10010] Time 0.323 (0.338) Data 0.001 (0.018) Loss 1.8364 (1.4439) Prec@1 57.031 (66.744) Prec@5 77.344 (85.749) Epoch: [63][150/10010] Time 0.312 (0.337) Data 0.001 (0.017) Loss 1.5196 (1.4464) Prec@1 65.625 (66.686) Prec@5 85.938 (85.741) Epoch: [63][160/10010] Time 0.328 (0.337) Data 0.000 (0.016) Loss 1.4204 (1.4438) Prec@1 68.750 (66.824) Prec@5 89.844 (85.797) Epoch: [63][170/10010] Time 0.320 (0.336) Data 0.001 (0.015) Loss 1.4055 (1.4457) Prec@1 67.188 (66.804) Prec@5 89.844 (85.791) Epoch: [63][180/10010] Time 0.341 (0.336) Data 0.000 (0.015) Loss 1.3713 (1.4451) Prec@1 66.406 (66.782) Prec@5 85.938 (85.838) Epoch: [63][190/10010] Time 0.338 (0.335) Data 0.000 (0.014) Loss 1.5285 (1.4422) Prec@1 64.844 (66.828) Prec@5 85.156 (85.872) Epoch: [63][200/10010] Time 0.334 (0.335) Data 0.000 (0.013) Loss 1.5269 (1.4401) Prec@1 70.312 (66.814) Prec@5 86.719 (85.930) Epoch: [63][210/10010] Time 0.336 (0.335) Data 0.001 (0.013) Loss 1.4659 (1.4400) Prec@1 66.406 (66.832) Prec@5 87.500 (85.926) Epoch: [63][220/10010] Time 0.319 (0.334) Data 0.001 (0.012) Loss 1.4126 (1.4370) Prec@1 70.312 (66.855) Prec@5 83.594 (85.938) Epoch: [63][230/10010] Time 0.316 (0.334) Data 0.001 (0.012) Loss 1.5484 (1.4349) Prec@1 60.938 (66.883) Prec@5 83.594 (85.978) Epoch: [63][240/10010] Time 0.323 (0.333) Data 0.001 (0.011) Loss 1.2342 (1.4320) Prec@1 74.219 (66.964) Prec@5 88.281 (85.993) Epoch: [63][250/10010] Time 0.323 (0.333) Data 0.000 (0.011) Loss 1.4820 (1.4327) Prec@1 61.719 (66.904) Prec@5 86.719 (85.959) Epoch: [63][260/10010] Time 0.335 (0.332) Data 0.001 (0.010) Loss 1.4771 (1.4316) Prec@1 64.844 (66.906) Prec@5 87.500 (86.021) Epoch: [63][270/10010] Time 0.325 (0.332) Data 0.000 (0.010) Loss 1.2459 (1.4292) Prec@1 68.750 (66.931) Prec@5 87.500 (86.070) Epoch: [63][280/10010] Time 0.334 (0.332) Data 0.000 (0.010) Loss 1.2397 (1.4264) Prec@1 71.094 (67.015) Prec@5 89.844 (86.113) Epoch: [63][290/10010] Time 0.320 (0.332) Data 0.000 (0.009) Loss 1.6054 (1.4266) Prec@1 67.969 (67.013) Prec@5 82.812 (86.085) Epoch: [63][300/10010] Time 0.341 (0.332) Data 0.001 (0.009) Loss 1.1893 (1.4253) Prec@1 71.094 (67.045) Prec@5 89.062 (86.117) Epoch: [63][310/10010] Time 0.328 (0.332) Data 0.001 (0.009) Loss 1.4582 (1.4256) Prec@1 67.188 (67.085) Prec@5 86.719 (86.093) Epoch: [63][320/10010] Time 0.324 (0.332) Data 0.000 (0.008) Loss 1.3826 (1.4280) Prec@1 70.312 (67.105) Prec@5 87.500 (86.071) Epoch: [63][330/10010] Time 0.329 (0.331) Data 0.001 (0.008) Loss 1.5007 (1.4306) Prec@1 66.406 (67.077) Prec@5 82.812 (86.025) Epoch: [63][340/10010] Time 0.325 (0.331) Data 0.001 (0.008) Loss 1.6661 (1.4277) Prec@1 63.281 (67.133) Prec@5 82.031 (86.054) Epoch: [63][350/10010] Time 0.334 (0.331) Data 0.000 (0.008) Loss 1.4706 (1.4278) Prec@1 69.531 (67.125) Prec@5 81.250 (86.015) Epoch: [63][360/10010] Time 0.331 (0.331) Data 0.000 (0.008) Loss 1.3234 (1.4261) Prec@1 71.094 (67.175) Prec@5 89.062 (86.039) Epoch: [63][370/10010] Time 0.339 (0.331) Data 0.000 (0.007) Loss 1.4081 (1.4263) Prec@1 67.188 (67.164) Prec@5 89.062 (86.045) Epoch: [63][380/10010] Time 0.339 (0.331) Data 0.000 (0.007) Loss 1.3435 (1.4262) Prec@1 68.750 (67.173) Prec@5 87.500 (86.028) Epoch: [63][390/10010] Time 0.333 (0.331) Data 0.001 (0.007) Loss 1.3594 (1.4265) Prec@1 67.188 (67.170) Prec@5 86.719 (86.035) Epoch: [63][400/10010] Time 0.307 (0.331) Data 0.000 (0.007) Loss 1.5939 (1.4270) Prec@1 62.500 (67.143) Prec@5 82.812 (86.010) Epoch: [63][410/10010] Time 0.328 (0.331) Data 0.001 (0.007) Loss 1.4556 (1.4276) Prec@1 65.625 (67.157) Prec@5 82.812 (85.974) Epoch: [63][420/10010] Time 0.324 (0.331) Data 0.000 (0.007) Loss 1.6099 (1.4273) Prec@1 62.500 (67.171) Prec@5 80.469 (85.963) Epoch: [63][430/10010] Time 0.337 (0.331) Data 0.000 (0.006) Loss 1.4277 (1.4256) Prec@1 63.281 (67.177) Prec@5 81.250 (85.986) Epoch: [63][440/10010] Time 0.308 (0.331) Data 0.000 (0.006) Loss 1.5521 (1.4260) Prec@1 67.188 (67.177) Prec@5 84.375 (85.980) Epoch: [63][450/10010] Time 0.340 (0.331) Data 0.001 (0.006) Loss 1.7365 (1.4281) Prec@1 63.281 (67.151) Prec@5 82.812 (85.962) Epoch: [63][460/10010] Time 0.317 (0.330) Data 0.001 (0.006) Loss 1.3194 (1.4263) Prec@1 64.844 (67.194) Prec@5 87.500 (85.971) Epoch: [63][470/10010] Time 0.338 (0.330) Data 0.000 (0.006) Loss 1.6032 (1.4280) Prec@1 62.500 (67.181) Prec@5 87.500 (85.947) Epoch: [63][480/10010] Time 0.320 (0.330) Data 0.001 (0.006) Loss 1.2039 (1.4270) Prec@1 67.969 (67.188) Prec@5 87.500 (85.962) Epoch: [63][490/10010] Time 0.319 (0.330) Data 0.001 (0.006) Loss 1.6207 (1.4286) Prec@1 64.062 (67.159) Prec@5 83.594 (85.931) Epoch: [63][500/10010] Time 0.316 (0.330) Data 0.001 (0.006) Loss 1.7593 (1.4299) Prec@1 57.031 (67.103) Prec@5 82.031 (85.917) Epoch: [63][510/10010] Time 0.329 (0.330) Data 0.001 (0.006) Loss 1.5041 (1.4281) Prec@1 69.531 (67.143) Prec@5 82.812 (85.927) Epoch: [63][520/10010] Time 0.334 (0.330) Data 0.000 (0.005) Loss 1.2975 (1.4277) Prec@1 69.531 (67.143) Prec@5 85.938 (85.921) Epoch: [63][530/10010] Time 0.321 (0.330) Data 0.001 (0.005) Loss 1.3366 (1.4283) Prec@1 71.094 (67.137) Prec@5 86.719 (85.921) Epoch: [63][540/10010] Time 0.318 (0.329) Data 0.001 (0.005) Loss 1.6284 (1.4281) Prec@1 64.062 (67.169) Prec@5 82.812 (85.917) Epoch: [63][550/10010] Time 0.334 (0.329) Data 0.001 (0.005) Loss 1.5142 (1.4282) Prec@1 61.719 (67.152) Prec@5 81.250 (85.925) Epoch: [63][560/10010] Time 0.319 (0.329) Data 0.001 (0.005) Loss 1.1590 (1.4277) Prec@1 71.094 (67.181) Prec@5 91.406 (85.933) Epoch: [63][570/10010] Time 0.315 (0.329) Data 0.001 (0.005) Loss 1.5801 (1.4276) Prec@1 65.625 (67.157) Prec@5 84.375 (85.936) Epoch: [63][580/10010] Time 0.326 (0.329) Data 0.001 (0.005) Loss 1.5171 (1.4282) Prec@1 65.625 (67.155) Prec@5 85.938 (85.925) Epoch: [63][590/10010] Time 0.319 (0.329) Data 0.001 (0.005) Loss 1.3595 (1.4293) Prec@1 62.500 (67.135) Prec@5 88.281 (85.908) Epoch: [63][600/10010] Time 0.330 (0.329) Data 0.000 (0.005) Loss 1.2403 (1.4283) Prec@1 72.656 (67.137) Prec@5 89.844 (85.917) Epoch: [63][610/10010] Time 0.327 (0.329) Data 0.000 (0.005) Loss 1.2506 (1.4294) Prec@1 67.188 (67.106) Prec@5 87.500 (85.902) Epoch: [63][620/10010] Time 0.327 (0.329) Data 0.001 (0.005) Loss 0.8722 (1.4286) Prec@1 78.125 (67.145) Prec@5 92.969 (85.904) /data/vision/torralba/deepscene/lib/anaconda2/lib/python2.7/site-packages/PIL/TiffImagePlugin.py:692: UserWarning: Possibly corrupt EXIF data. Expecting to read 2555904 bytes but only got 0. Skipping tag 0 "Skipping tag %s" % (size, len(data), tag)) Epoch: [63][630/10010] Time 0.315 (0.329) Data 0.001 (0.005) Loss 1.6596 (1.4285) Prec@1 57.031 (67.140) Prec@5 83.594 (85.910) Epoch: [63][640/10010] Time 0.317 (0.329) Data 0.001 (0.005) Loss 1.7105 (1.4294) Prec@1 65.625 (67.119) Prec@5 79.688 (85.911) Epoch: [63][650/10010] Time 0.316 (0.329) Data 0.001 (0.004) Loss 1.5690 (1.4287) Prec@1 60.156 (67.125) Prec@5 82.812 (85.931) Epoch: [63][660/10010] Time 0.332 (0.328) Data 0.001 (0.004) Loss 1.3939 (1.4287) Prec@1 66.406 (67.138) Prec@5 87.500 (85.946) Epoch: [63][670/10010] Time 0.329 (0.328) Data 0.001 (0.004) Loss 1.1913 (1.4289) Prec@1 71.094 (67.119) Prec@5 89.844 (85.938) Epoch: [63][680/10010] Time 0.329 (0.328) Data 0.000 (0.004) Loss 1.6323 (1.4290) Prec@1 67.188 (67.116) Prec@5 83.594 (85.935) Epoch: [63][690/10010] Time 0.327 (0.328) Data 0.000 (0.004) Loss 1.8422 (1.4307) Prec@1 58.594 (67.061) Prec@5 78.906 (85.919) Epoch: [63][700/10010] Time 0.326 (0.328) Data 0.001 (0.004) Loss 1.5142 (1.4315) Prec@1 61.719 (67.045) Prec@5 83.594 (85.920) Epoch: [63][710/10010] Time 0.338 (0.328) Data 0.001 (0.004) Loss 1.3551 (1.4320) Prec@1 70.312 (67.024) Prec@5 82.812 (85.906) Epoch: [63][720/10010] Time 0.317 (0.328) Data 0.001 (0.004) Loss 1.6385 (1.4310) Prec@1 67.969 (67.041) Prec@5 81.250 (85.917) Epoch: [63][730/10010] Time 0.314 (0.328) Data 0.000 (0.004) Loss 1.4907 (1.4301) Prec@1 64.844 (67.042) Prec@5 85.156 (85.931) Epoch: [63][740/10010] Time 0.321 (0.328) Data 0.001 (0.004) Loss 1.5224 (1.4307) Prec@1 69.531 (67.023) Prec@5 81.250 (85.911) Epoch: [63][750/10010] Time 0.330 (0.328) Data 0.000 (0.004) Loss 1.4970 (1.4303) Prec@1 68.750 (67.051) Prec@5 83.594 (85.911) Epoch: [63][760/10010] Time 0.321 (0.328) Data 0.001 (0.004) Loss 1.4147 (1.4307) Prec@1 64.062 (67.055) Prec@5 87.500 (85.919) Epoch: [63][770/10010] Time 0.319 (0.328) Data 0.001 (0.004) Loss 1.7968 (1.4308) Prec@1 62.500 (67.050) Prec@5 79.688 (85.923) Epoch: [63][780/10010] Time 0.346 (0.328) Data 0.000 (0.004) Loss 1.5876 (1.4307) Prec@1 60.938 (67.038) Prec@5 85.938 (85.939) Epoch: [63][790/10010] Time 0.313 (0.328) Data 0.001 (0.004) Loss 1.6376 (1.4298) Prec@1 62.500 (67.050) Prec@5 83.594 (85.953) Epoch: [63][800/10010] Time 0.330 (0.328) Data 0.000 (0.004) Loss 1.1776 (1.4297) Prec@1 69.531 (67.030) Prec@5 89.844 (85.962) Epoch: [63][810/10010] Time 0.323 (0.328) Data 0.000 (0.004) Loss 1.5122 (1.4299) Prec@1 62.500 (67.026) Prec@5 84.375 (85.962) Epoch: [63][820/10010] Time 0.339 (0.328) Data 0.000 (0.004) Loss 1.3099 (1.4278) Prec@1 65.625 (67.058) Prec@5 88.281 (85.995) Epoch: [63][830/10010] Time 0.334 (0.328) Data 0.001 (0.004) Loss 1.8784 (1.4290) Prec@1 62.500 (67.042) Prec@5 78.906 (85.970) Epoch: [63][840/10010] Time 0.337 (0.328) Data 0.001 (0.004) Loss 1.5470 (1.4281) Prec@1 66.406 (67.075) Prec@5 84.375 (85.985) Epoch: [63][850/10010] Time 0.319 (0.328) Data 0.000 (0.004) Loss 1.1523 (1.4285) Prec@1 76.562 (67.078) Prec@5 90.625 (85.986) Epoch: [63][860/10010] Time 0.330 (0.328) Data 0.001 (0.004) Loss 1.8307 (1.4288) Prec@1 61.719 (67.062) Prec@5 78.906 (85.991) Epoch: [63][870/10010] Time 0.332 (0.328) Data 0.001 (0.004) Loss 1.4517 (1.4301) Prec@1 67.969 (67.030) Prec@5 87.500 (85.973) Epoch: [63][880/10010] Time 0.318 (0.328) Data 0.001 (0.003) Loss 1.9244 (1.4313) Prec@1 57.031 (66.987) Prec@5 82.812 (85.969) Epoch: [63][890/10010] Time 0.330 (0.328) Data 0.001 (0.003) Loss 1.4112 (1.4316) Prec@1 67.188 (66.981) Prec@5 85.156 (85.954) Epoch: [63][900/10010] Time 0.323 (0.328) Data 0.001 (0.003) Loss 1.5211 (1.4325) Prec@1 65.625 (66.963) Prec@5 85.938 (85.949) Epoch: [63][910/10010] Time 0.326 (0.328) Data 0.001 (0.003) Loss 1.4052 (1.4323) Prec@1 68.750 (66.967) Prec@5 85.938 (85.955) Epoch: [63][920/10010] Time 0.335 (0.328) Data 0.000 (0.003) Loss 1.2581 (1.4321) Prec@1 67.188 (66.962) Prec@5 88.281 (85.960) Epoch: [63][930/10010] Time 0.332 (0.328) Data 0.000 (0.003) Loss 1.3393 (1.4324) Prec@1 68.750 (66.958) Prec@5 89.844 (85.969) Epoch: [63][940/10010] Time 0.328 (0.328) Data 0.000 (0.003) Loss 1.0170 (1.4329) Prec@1 71.875 (66.943) Prec@5 93.750 (85.967) Epoch: [63][950/10010] Time 0.327 (0.328) Data 0.001 (0.003) Loss 1.6683 (1.4335) Prec@1 63.281 (66.917) Prec@5 80.469 (85.957) Epoch: [63][960/10010] Time 0.324 (0.328) Data 0.001 (0.003) Loss 1.4640 (1.4337) Prec@1 67.188 (66.908) Prec@5 80.469 (85.952) Epoch: [63][970/10010] Time 0.324 (0.328) Data 0.000 (0.003) Loss 1.4496 (1.4339) Prec@1 65.625 (66.901) Prec@5 85.938 (85.950) Epoch: [63][980/10010] Time 0.329 (0.328) Data 0.001 (0.003) Loss 1.4154 (1.4337) Prec@1 67.188 (66.909) Prec@5 85.938 (85.953) Epoch: [63][990/10010] Time 0.322 (0.328) Data 0.000 (0.003) Loss 1.5004 (1.4336) Prec@1 70.312 (66.916) Prec@5 82.812 (85.956) Epoch: [63][1000/10010] Time 0.338 (0.328) Data 0.001 (0.003) Loss 1.1586 (1.4331) Prec@1 72.656 (66.930) Prec@5 88.281 (85.962) Epoch: [63][1010/10010] Time 0.332 (0.328) Data 0.001 (0.003) Loss 1.4135 (1.4334) Prec@1 71.094 (66.924) Prec@5 83.594 (85.951) Epoch: [63][1020/10010] Time 0.325 (0.328) Data 0.000 (0.003) Loss 1.3424 (1.4335) Prec@1 68.750 (66.929) Prec@5 86.719 (85.953) Epoch: [63][1030/10010] Time 0.321 (0.328) Data 0.001 (0.003) Loss 1.8094 (1.4345) Prec@1 57.812 (66.911) Prec@5 82.812 (85.944) Epoch: [63][1040/10010] Time 0.324 (0.328) Data 0.000 (0.003) Loss 1.7681 (1.4355) Prec@1 60.938 (66.874) Prec@5 82.812 (85.932) Epoch: [63][1050/10010] Time 0.338 (0.328) Data 0.000 (0.003) Loss 1.4170 (1.4356) Prec@1 67.188 (66.869) Prec@5 85.938 (85.929) Epoch: [63][1060/10010] Time 0.316 (0.328) Data 0.001 (0.003) Loss 1.2935 (1.4361) Prec@1 71.094 (66.859) Prec@5 86.719 (85.922) Epoch: [63][1070/10010] Time 0.315 (0.328) Data 0.001 (0.003) Loss 1.3886 (1.4361) Prec@1 67.969 (66.850) Prec@5 85.938 (85.918) Epoch: [63][1080/10010] Time 0.326 (0.328) Data 0.001 (0.003) Loss 1.2886 (1.4362) Prec@1 67.969 (66.840) Prec@5 89.844 (85.924) Epoch: [63][1090/10010] Time 0.341 (0.328) Data 0.000 (0.003) Loss 1.4572 (1.4367) Prec@1 64.062 (66.842) Prec@5 84.375 (85.931) Epoch: [63][1100/10010] Time 0.340 (0.328) Data 0.000 (0.003) Loss 1.6508 (1.4370) Prec@1 63.281 (66.838) Prec@5 83.594 (85.928) Epoch: [63][1110/10010] Time 0.333 (0.328) Data 0.001 (0.003) Loss 1.1817 (1.4360) Prec@1 71.094 (66.856) Prec@5 88.281 (85.932) Epoch: [63][1120/10010] Time 0.318 (0.328) Data 0.001 (0.003) Loss 1.4040 (1.4364) Prec@1 67.188 (66.845) Prec@5 86.719 (85.936) Epoch: [63][1130/10010] Time 0.338 (0.328) Data 0.001 (0.003) Loss 1.5391 (1.4363) Prec@1 61.719 (66.847) Prec@5 84.375 (85.937) Epoch: [63][1140/10010] Time 0.333 (0.328) Data 0.001 (0.003) Loss 1.4050 (1.4358) Prec@1 67.188 (66.863) Prec@5 85.938 (85.946) Epoch: [63][1150/10010] Time 0.322 (0.328) Data 0.001 (0.003) Loss 1.2163 (1.4350) Prec@1 72.656 (66.884) Prec@5 90.625 (85.959) Epoch: [63][1160/10010] Time 0.338 (0.328) Data 0.000 (0.003) Loss 1.4752 (1.4352) Prec@1 57.031 (66.867) Prec@5 89.062 (85.957) Epoch: [63][1170/10010] Time 0.325 (0.328) Data 0.001 (0.003) Loss 1.4843 (1.4354) Prec@1 64.062 (66.847) Prec@5 85.156 (85.958) Epoch: [63][1180/10010] Time 0.314 (0.328) Data 0.000 (0.003) Loss 1.7748 (1.4352) Prec@1 67.188 (66.847) Prec@5 82.812 (85.965) Epoch: [63][1190/10010] Time 0.325 (0.328) Data 0.001 (0.003) Loss 1.4058 (1.4347) Prec@1 66.406 (66.843) Prec@5 89.844 (85.975) Epoch: [63][1200/10010] Time 0.316 (0.328) Data 0.001 (0.003) Loss 1.3968 (1.4350) Prec@1 71.875 (66.830) Prec@5 86.719 (85.975) Epoch: [63][1210/10010] Time 0.324 (0.328) Data 0.000 (0.003) Loss 1.4112 (1.4349) Prec@1 65.625 (66.838) Prec@5 85.938 (85.974) Epoch: [63][1220/10010] Time 0.312 (0.328) Data 0.000 (0.003) Loss 1.0790 (1.4345) Prec@1 69.531 (66.849) Prec@5 91.406 (85.982) Epoch: [63][1230/10010] Time 0.316 (0.328) Data 0.001 (0.003) Loss 1.3086 (1.4347) Prec@1 67.969 (66.834) Prec@5 88.281 (85.982) Epoch: [63][1240/10010] Time 0.337 (0.328) Data 0.001 (0.003) Loss 1.6814 (1.4357) Prec@1 61.719 (66.809) Prec@5 82.031 (85.964) Epoch: [63][1250/10010] Time 0.321 (0.328) Data 0.000 (0.003) Loss 1.1595 (1.4359) Prec@1 69.531 (66.809) Prec@5 90.625 (85.964) Epoch: [63][1260/10010] Time 0.339 (0.328) Data 0.000 (0.003) Loss 1.4623 (1.4356) Prec@1 69.531 (66.808) Prec@5 83.594 (85.969) Epoch: [63][1270/10010] Time 0.318 (0.327) Data 0.001 (0.003) Loss 1.2523 (1.4351) Prec@1 71.094 (66.815) Prec@5 89.062 (85.980) Epoch: [63][1280/10010] Time 0.339 (0.328) Data 0.000 (0.003) Loss 1.4624 (1.4351) Prec@1 67.188 (66.810) Prec@5 88.281 (85.978) Epoch: [63][1290/10010] Time 0.327 (0.327) Data 0.000 (0.003) Loss 1.4186 (1.4351) Prec@1 69.531 (66.812) Prec@5 85.938 (85.985) Epoch: [63][1300/10010] Time 0.323 (0.327) Data 0.000 (0.003) Loss 1.6925 (1.4358) Prec@1 65.625 (66.796) Prec@5 80.469 (85.973) Epoch: [63][1310/10010] Time 0.325 (0.327) Data 0.001 (0.003) Loss 1.8134 (1.4357) Prec@1 57.812 (66.789) Prec@5 80.469 (85.973) Epoch: [63][1320/10010] Time 0.319 (0.327) Data 0.000 (0.003) Loss 1.4170 (1.4351) Prec@1 66.406 (66.805) Prec@5 82.812 (85.974) Epoch: [63][1330/10010] Time 0.318 (0.327) Data 0.000 (0.003) Loss 1.8351 (1.4355) Prec@1 57.812 (66.799) Prec@5 82.031 (85.970) Epoch: [63][1340/10010] Time 0.331 (0.327) Data 0.000 (0.002) Loss 1.8316 (1.4354) Prec@1 61.719 (66.801) Prec@5 81.250 (85.971) Epoch: [63][1350/10010] Time 0.328 (0.327) Data 0.001 (0.002) Loss 1.4017 (1.4348) Prec@1 64.062 (66.812) Prec@5 86.719 (85.980) Epoch: [63][1360/10010] Time 0.338 (0.327) Data 0.001 (0.002) Loss 1.4907 (1.4347) Prec@1 64.062 (66.805) Prec@5 84.375 (85.987) Epoch: [63][1370/10010] Time 0.323 (0.327) Data 0.000 (0.002) Loss 1.4842 (1.4352) Prec@1 66.406 (66.807) Prec@5 84.375 (85.973) Epoch: [63][1380/10010] Time 0.329 (0.327) Data 0.000 (0.002) Loss 1.6286 (1.4363) Prec@1 64.062 (66.793) Prec@5 82.812 (85.959) Epoch: [63][1390/10010] Time 0.331 (0.327) Data 0.001 (0.002) Loss 1.2152 (1.4364) Prec@1 74.219 (66.788) Prec@5 86.719 (85.957) Epoch: [63][1400/10010] Time 0.322 (0.327) Data 0.000 (0.002) Loss 1.6061 (1.4364) Prec@1 63.281 (66.795) Prec@5 82.812 (85.953) Epoch: [63][1410/10010] Time 0.316 (0.327) Data 0.001 (0.002) Loss 1.5171 (1.4371) Prec@1 66.406 (66.781) Prec@5 87.500 (85.942) Epoch: [63][1420/10010] Time 0.336 (0.327) Data 0.001 (0.002) Loss 1.6255 (1.4370) Prec@1 61.719 (66.776) Prec@5 82.031 (85.945) Epoch: [63][1430/10010] Time 0.318 (0.327) Data 0.001 (0.002) Loss 1.4917 (1.4373) Prec@1 65.625 (66.773) Prec@5 83.594 (85.938) Epoch: [63][1440/10010] Time 0.316 (0.327) Data 0.000 (0.002) Loss 1.3168 (1.4372) Prec@1 71.094 (66.778) Prec@5 89.844 (85.939) Epoch: [63][1450/10010] Time 0.319 (0.327) Data 0.000 (0.002) Loss 1.2121 (1.4370) Prec@1 69.531 (66.774) Prec@5 90.625 (85.940) Epoch: [63][1460/10010] Time 0.340 (0.327) Data 0.001 (0.002) Loss 1.6556 (1.4370) Prec@1 57.812 (66.779) Prec@5 83.594 (85.943) Epoch: [63][1470/10010] Time 0.332 (0.327) Data 0.001 (0.002) Loss 1.5562 (1.4365) Prec@1 64.844 (66.782) Prec@5 85.938 (85.953) Epoch: [63][1480/10010] Time 0.343 (0.327) Data 0.000 (0.002) Loss 1.4324 (1.4362) Prec@1 67.188 (66.786) Prec@5 86.719 (85.958) Epoch: [63][1490/10010] Time 0.343 (0.327) Data 0.001 (0.002) Loss 1.3873 (1.4364) Prec@1 66.406 (66.777) Prec@5 88.281 (85.952) Epoch: [63][1500/10010] Time 0.335 (0.327) Data 0.001 (0.002) Loss 1.3379 (1.4371) Prec@1 71.875 (66.769) Prec@5 87.500 (85.944) Epoch: [63][1510/10010] Time 0.324 (0.327) Data 0.001 (0.002) Loss 1.4938 (1.4369) Prec@1 63.281 (66.771) Prec@5 86.719 (85.945) Epoch: [63][1520/10010] Time 0.312 (0.327) Data 0.001 (0.002) Loss 1.0369 (1.4362) Prec@1 77.344 (66.787) Prec@5 93.750 (85.950) Epoch: [63][1530/10010] Time 0.336 (0.327) Data 0.000 (0.002) Loss 1.5713 (1.4368) Prec@1 60.938 (66.776) Prec@5 83.594 (85.943) Epoch: [63][1540/10010] Time 0.312 (0.327) Data 0.001 (0.002) Loss 1.3521 (1.4362) Prec@1 73.438 (66.794) Prec@5 86.719 (85.957) Epoch: [63][1550/10010] Time 0.320 (0.327) Data 0.000 (0.002) Loss 1.4159 (1.4357) Prec@1 71.094 (66.806) Prec@5 85.156 (85.959) Epoch: [63][1560/10010] Time 0.335 (0.327) Data 0.001 (0.002) Loss 1.2573 (1.4350) Prec@1 70.312 (66.820) Prec@5 89.062 (85.974) Epoch: [63][1570/10010] Time 0.339 (0.327) Data 0.000 (0.002) Loss 1.3810 (1.4352) Prec@1 64.062 (66.812) Prec@5 89.062 (85.970) Epoch: [63][1580/10010] Time 0.332 (0.327) Data 0.001 (0.002) Loss 1.4656 (1.4349) Prec@1 66.406 (66.827) Prec@5 84.375 (85.973) Epoch: [63][1590/10010] Time 0.338 (0.327) Data 0.001 (0.002) Loss 1.2453 (1.4343) Prec@1 71.875 (66.835) Prec@5 88.281 (85.974) Epoch: [63][1600/10010] Time 0.337 (0.327) Data 0.000 (0.002) Loss 1.5540 (1.4344) Prec@1 71.094 (66.841) Prec@5 82.812 (85.969) Epoch: [63][1610/10010] Time 0.342 (0.327) Data 0.000 (0.002) Loss 1.2989 (1.4344) Prec@1 71.875 (66.853) Prec@5 85.156 (85.963) Epoch: [63][1620/10010] Time 0.326 (0.327) Data 0.001 (0.002) Loss 1.5223 (1.4343) Prec@1 64.844 (66.857) Prec@5 85.938 (85.966) Epoch: [63][1630/10010] Time 0.318 (0.327) Data 0.001 (0.002) Loss 1.4767 (1.4342) Prec@1 62.500 (66.863) Prec@5 84.375 (85.967) Epoch: [63][1640/10010] Time 0.335 (0.327) Data 0.000 (0.002) Loss 1.4805 (1.4342) Prec@1 65.625 (66.854) Prec@5 86.719 (85.969) Epoch: [63][1650/10010] Time 0.331 (0.327) Data 0.001 (0.002) Loss 1.3812 (1.4341) Prec@1 67.969 (66.859) Prec@5 83.594 (85.971) Epoch: [63][1660/10010] Time 0.312 (0.327) Data 0.000 (0.002) Loss 1.6302 (1.4344) Prec@1 64.062 (66.851) Prec@5 80.469 (85.964) Epoch: [63][1670/10010] Time 0.322 (0.327) Data 0.001 (0.002) Loss 1.0574 (1.4343) Prec@1 76.562 (66.859) Prec@5 93.750 (85.966) Epoch: [63][1680/10010] Time 0.320 (0.327) Data 0.000 (0.002) Loss 1.3546 (1.4344) Prec@1 67.969 (66.855) Prec@5 85.938 (85.966) Epoch: [63][1690/10010] Time 0.339 (0.327) Data 0.001 (0.002) Loss 1.5651 (1.4341) Prec@1 66.406 (66.866) Prec@5 82.812 (85.968) Epoch: [63][1700/10010] Time 0.320 (0.327) Data 0.000 (0.002) Loss 1.5464 (1.4342) Prec@1 67.969 (66.864) Prec@5 83.594 (85.966) Epoch: [63][1710/10010] Time 0.340 (0.327) Data 0.001 (0.002) Loss 1.5158 (1.4348) Prec@1 62.500 (66.849) Prec@5 84.375 (85.956) Epoch: [63][1720/10010] Time 0.330 (0.327) Data 0.001 (0.002) Loss 1.3760 (1.4347) Prec@1 65.625 (66.858) Prec@5 88.281 (85.954) Epoch: [63][1730/10010] Time 0.319 (0.327) Data 0.000 (0.002) Loss 1.9715 (1.4352) Prec@1 55.469 (66.851) Prec@5 78.906 (85.946) Epoch: [63][1740/10010] Time 0.336 (0.327) Data 0.001 (0.002) Loss 1.4261 (1.4350) Prec@1 69.531 (66.859) Prec@5 86.719 (85.946) Epoch: [63][1750/10010] Time 0.324 (0.327) Data 0.000 (0.002) Loss 1.5840 (1.4352) Prec@1 65.625 (66.855) Prec@5 82.812 (85.942) Epoch: [63][1760/10010] Time 0.332 (0.327) Data 0.001 (0.002) Loss 1.2562 (1.4345) Prec@1 73.438 (66.866) Prec@5 85.156 (85.953) Epoch: [63][1770/10010] Time 0.316 (0.327) Data 0.000 (0.002) Loss 1.5814 (1.4347) Prec@1 58.594 (66.864) Prec@5 82.812 (85.948) Epoch: [63][1780/10010] Time 0.327 (0.327) Data 0.001 (0.002) Loss 1.1806 (1.4345) Prec@1 74.219 (66.862) Prec@5 89.062 (85.951) Epoch: [63][1790/10010] Time 0.333 (0.327) Data 0.000 (0.002) Loss 1.3655 (1.4341) Prec@1 64.062 (66.863) Prec@5 86.719 (85.953) Epoch: [63][1800/10010] Time 0.336 (0.327) Data 0.000 (0.002) Loss 1.4950 (1.4342) Prec@1 65.625 (66.864) Prec@5 85.156 (85.953) Epoch: [63][1810/10010] Time 0.333 (0.327) Data 0.001 (0.002) Loss 1.3490 (1.4342) Prec@1 71.094 (66.875) Prec@5 89.062 (85.954) Epoch: [63][1820/10010] Time 0.332 (0.327) Data 0.000 (0.002) Loss 1.5068 (1.4338) Prec@1 67.188 (66.881) Prec@5 83.594 (85.959) Epoch: [63][1830/10010] Time 0.321 (0.327) Data 0.000 (0.002) Loss 1.6040 (1.4333) Prec@1 68.750 (66.885) Prec@5 82.031 (85.960) Epoch: [63][1840/10010] Time 0.328 (0.327) Data 0.001 (0.002) Loss 1.5019 (1.4335) Prec@1 67.188 (66.871) Prec@5 82.812 (85.955) Epoch: [63][1850/10010] Time 0.322 (0.327) Data 0.000 (0.002) Loss 1.5672 (1.4331) Prec@1 60.156 (66.869) Prec@5 83.594 (85.965) Epoch: [63][1860/10010] Time 0.334 (0.327) Data 0.001 (0.002) Loss 1.3056 (1.4334) Prec@1 73.438 (66.866) Prec@5 85.156 (85.956) Epoch: [63][1870/10010] Time 0.327 (0.327) Data 0.001 (0.002) Loss 1.5743 (1.4332) Prec@1 64.062 (66.870) Prec@5 83.594 (85.955) Epoch: [63][1880/10010] Time 0.340 (0.327) Data 0.000 (0.002) Loss 1.4042 (1.4330) Prec@1 64.844 (66.871) Prec@5 85.156 (85.956) Epoch: [63][1890/10010] Time 0.337 (0.327) Data 0.000 (0.002) Loss 1.4751 (1.4327) Prec@1 67.188 (66.875) Prec@5 82.812 (85.957) Epoch: [63][1900/10010] Time 0.316 (0.327) Data 0.001 (0.002) Loss 1.0550 (1.4322) Prec@1 74.219 (66.888) Prec@5 89.062 (85.964) Epoch: [63][1910/10010] Time 0.326 (0.327) Data 0.001 (0.002) Loss 1.4725 (1.4322) Prec@1 65.625 (66.888) Prec@5 83.594 (85.963) Epoch: [63][1920/10010] Time 0.319 (0.327) Data 0.001 (0.002) Loss 1.5397 (1.4321) Prec@1 67.969 (66.887) Prec@5 85.156 (85.962) Epoch: [63][1930/10010] Time 0.318 (0.327) Data 0.000 (0.002) Loss 1.7871 (1.4319) Prec@1 58.594 (66.889) Prec@5 83.594 (85.961) Epoch: [63][1940/10010] Time 0.330 (0.327) Data 0.001 (0.002) Loss 1.5459 (1.4317) Prec@1 61.719 (66.893) Prec@5 83.594 (85.964) Epoch: [63][1950/10010] Time 0.341 (0.327) Data 0.000 (0.002) Loss 1.4217 (1.4321) Prec@1 66.406 (66.888) Prec@5 88.281 (85.963) Epoch: [63][1960/10010] Time 0.337 (0.327) Data 0.001 (0.002) Loss 1.4085 (1.4319) Prec@1 67.188 (66.890) Prec@5 85.156 (85.960) Epoch: [63][1970/10010] Time 0.329 (0.327) Data 0.000 (0.002) Loss 1.3205 (1.4320) Prec@1 71.094 (66.889) Prec@5 91.406 (85.961) Epoch: [63][1980/10010] Time 0.320 (0.327) Data 0.000 (0.002) Loss 1.1947 (1.4316) Prec@1 69.531 (66.897) Prec@5 89.844 (85.969) Epoch: [63][1990/10010] Time 0.330 (0.327) Data 0.001 (0.002) Loss 1.4494 (1.4317) Prec@1 69.531 (66.898) Prec@5 85.938 (85.966) Epoch: [63][2000/10010] Time 0.335 (0.327) Data 0.000 (0.002) Loss 1.8197 (1.4318) Prec@1 60.938 (66.901) Prec@5 79.688 (85.958) Epoch: [63][2010/10010] Time 0.334 (0.327) Data 0.000 (0.002) Loss 1.4999 (1.4320) Prec@1 62.500 (66.901) Prec@5 87.500 (85.957) Epoch: [63][2020/10010] Time 0.340 (0.327) Data 0.000 (0.002) Loss 1.7672 (1.4324) Prec@1 63.281 (66.893) Prec@5 82.031 (85.949) Epoch: [63][2030/10010] Time 0.341 (0.327) Data 0.001 (0.002) Loss 1.6877 (1.4327) Prec@1 64.844 (66.894) Prec@5 83.594 (85.944) Epoch: [63][2040/10010] Time 0.327 (0.327) Data 0.000 (0.002) Loss 1.2330 (1.4327) Prec@1 74.219 (66.896) Prec@5 90.625 (85.945) Epoch: [63][2050/10010] Time 0.339 (0.327) Data 0.001 (0.002) Loss 1.3713 (1.4327) Prec@1 67.188 (66.895) Prec@5 86.719 (85.947) Epoch: [63][2060/10010] Time 0.329 (0.327) Data 0.001 (0.002) Loss 1.5501 (1.4329) Prec@1 60.938 (66.889) Prec@5 85.156 (85.943) Epoch: [63][2070/10010] Time 0.335 (0.327) Data 0.001 (0.002) Loss 1.4421 (1.4328) Prec@1 68.750 (66.896) Prec@5 85.938 (85.943) Epoch: [63][2080/10010] Time 0.313 (0.327) Data 0.001 (0.002) Loss 1.2772 (1.4326) Prec@1 67.188 (66.896) Prec@5 88.281 (85.943) Epoch: [63][2090/10010] Time 0.342 (0.327) Data 0.000 (0.002) Loss 1.6476 (1.4328) Prec@1 65.625 (66.892) Prec@5 81.250 (85.939) Epoch: [63][2100/10010] Time 0.323 (0.327) Data 0.001 (0.002) Loss 1.3108 (1.4326) Prec@1 67.188 (66.892) Prec@5 90.625 (85.947) Epoch: [63][2110/10010] Time 0.321 (0.327) Data 0.001 (0.002) Loss 1.4086 (1.4324) Prec@1 67.969 (66.899) Prec@5 83.594 (85.948) Epoch: [63][2120/10010] Time 0.316 (0.327) Data 0.000 (0.002) Loss 1.2201 (1.4323) Prec@1 70.312 (66.902) Prec@5 88.281 (85.948) Epoch: [63][2130/10010] Time 0.322 (0.327) Data 0.000 (0.002) Loss 1.6089 (1.4318) Prec@1 60.156 (66.913) Prec@5 82.812 (85.953) Epoch: [63][2140/10010] Time 0.314 (0.327) Data 0.001 (0.002) Loss 1.8421 (1.4321) Prec@1 57.812 (66.904) Prec@5 76.562 (85.954) Epoch: [63][2150/10010] Time 0.339 (0.327) Data 0.001 (0.002) Loss 1.3336 (1.4320) Prec@1 69.531 (66.902) Prec@5 86.719 (85.959) Epoch: [63][2160/10010] Time 0.341 (0.327) Data 0.001 (0.002) Loss 1.3611 (1.4321) Prec@1 65.625 (66.903) Prec@5 85.938 (85.953) Epoch: [63][2170/10010] Time 0.338 (0.327) Data 0.000 (0.002) Loss 1.5633 (1.4323) Prec@1 64.844 (66.899) Prec@5 84.375 (85.948) Epoch: [63][2180/10010] Time 0.342 (0.327) Data 0.000 (0.002) Loss 1.5843 (1.4325) Prec@1 67.188 (66.897) Prec@5 84.375 (85.949) Epoch: [63][2190/10010] Time 0.319 (0.327) Data 0.000 (0.002) Loss 1.2307 (1.4327) Prec@1 69.531 (66.889) Prec@5 88.281 (85.942) Epoch: [63][2200/10010] Time 0.339 (0.327) Data 0.000 (0.002) Loss 1.6022 (1.4328) Prec@1 60.156 (66.880) Prec@5 80.469 (85.936) Epoch: [63][2210/10010] Time 0.324 (0.327) Data 0.001 (0.002) Loss 1.3870 (1.4330) Prec@1 65.625 (66.877) Prec@5 86.719 (85.933) Epoch: [63][2220/10010] Time 0.334 (0.327) Data 0.001 (0.002) Loss 1.3539 (1.4330) Prec@1 66.406 (66.875) Prec@5 88.281 (85.935) Epoch: [63][2230/10010] Time 0.319 (0.327) Data 0.001 (0.002) Loss 1.4546 (1.4328) Prec@1 67.188 (66.884) Prec@5 86.719 (85.936) Epoch: [63][2240/10010] Time 0.314 (0.327) Data 0.000 (0.002) Loss 1.5104 (1.4328) Prec@1 71.875 (66.880) Prec@5 82.031 (85.938) Epoch: [63][2250/10010] Time 0.330 (0.327) Data 0.000 (0.002) Loss 1.7061 (1.4331) Prec@1 64.062 (66.877) Prec@5 85.156 (85.931) Epoch: [63][2260/10010] Time 0.332 (0.327) Data 0.000 (0.002) Loss 1.4383 (1.4330) Prec@1 63.281 (66.877) Prec@5 88.281 (85.935) Epoch: [63][2270/10010] Time 0.317 (0.327) Data 0.000 (0.002) Loss 1.4515 (1.4325) Prec@1 70.312 (66.884) Prec@5 87.500 (85.946) Epoch: [63][2280/10010] Time 0.326 (0.327) Data 0.001 (0.002) Loss 1.4351 (1.4321) Prec@1 68.750 (66.892) Prec@5 84.375 (85.951) Epoch: [63][2290/10010] Time 0.322 (0.327) Data 0.000 (0.002) Loss 1.5425 (1.4319) Prec@1 67.969 (66.897) Prec@5 85.156 (85.958) Epoch: [63][2300/10010] Time 0.340 (0.327) Data 0.001 (0.002) Loss 1.6635 (1.4319) Prec@1 62.500 (66.900) Prec@5 79.688 (85.954) Epoch: [63][2310/10010] Time 0.338 (0.327) Data 0.000 (0.002) Loss 1.3441 (1.4318) Prec@1 67.969 (66.898) Prec@5 84.375 (85.951) Epoch: [63][2320/10010] Time 0.319 (0.327) Data 0.000 (0.002) Loss 1.2634 (1.4317) Prec@1 67.188 (66.899) Prec@5 90.625 (85.953) Epoch: [63][2330/10010] Time 0.344 (0.327) Data 0.000 (0.002) Loss 1.4215 (1.4321) Prec@1 63.281 (66.886) Prec@5 89.844 (85.951) Epoch: [63][2340/10010] Time 0.314 (0.327) Data 0.001 (0.002) Loss 1.4097 (1.4322) Prec@1 65.625 (66.881) Prec@5 87.500 (85.950) Epoch: [63][2350/10010] Time 0.326 (0.327) Data 0.001 (0.002) Loss 1.4995 (1.4318) Prec@1 64.062 (66.890) Prec@5 84.375 (85.952) Epoch: [63][2360/10010] Time 0.344 (0.327) Data 0.001 (0.002) Loss 1.8672 (1.4322) Prec@1 57.031 (66.883) Prec@5 79.688 (85.948) Epoch: [63][2370/10010] Time 0.338 (0.327) Data 0.000 (0.002) Loss 1.3921 (1.4322) Prec@1 63.281 (66.891) Prec@5 85.938 (85.949) Epoch: [63][2380/10010] Time 0.338 (0.327) Data 0.001 (0.002) Loss 1.4210 (1.4325) Prec@1 67.188 (66.888) Prec@5 86.719 (85.945) Epoch: [63][2390/10010] Time 0.342 (0.327) Data 0.001 (0.002) Loss 1.2478 (1.4323) Prec@1 74.219 (66.892) Prec@5 86.719 (85.947) Epoch: [63][2400/10010] Time 0.319 (0.327) Data 0.001 (0.002) Loss 1.2754 (1.4322) Prec@1 72.656 (66.889) Prec@5 90.625 (85.951) Epoch: [63][2410/10010] Time 0.322 (0.327) Data 0.001 (0.002) Loss 1.1549 (1.4321) Prec@1 70.312 (66.891) Prec@5 92.188 (85.956) Epoch: [63][2420/10010] Time 0.335 (0.327) Data 0.001 (0.002) Loss 1.5105 (1.4320) Prec@1 71.875 (66.894) Prec@5 82.812 (85.955) Epoch: [63][2430/10010] Time 0.333 (0.328) Data 0.001 (0.002) Loss 1.4658 (1.4322) Prec@1 65.625 (66.892) Prec@5 87.500 (85.953) Epoch: [63][2440/10010] Time 0.320 (0.328) Data 0.001 (0.002) Loss 1.4498 (1.4320) Prec@1 62.500 (66.899) Prec@5 85.156 (85.954) Epoch: [63][2450/10010] Time 0.342 (0.328) Data 0.000 (0.002) Loss 1.2861 (1.4316) Prec@1 70.312 (66.903) Prec@5 83.594 (85.957) Epoch: [63][2460/10010] Time 0.330 (0.328) Data 0.001 (0.002) Loss 1.2914 (1.4316) Prec@1 69.531 (66.902) Prec@5 89.062 (85.962) Epoch: [63][2470/10010] Time 0.321 (0.328) Data 0.001 (0.002) Loss 1.3124 (1.4315) Prec@1 71.875 (66.903) Prec@5 85.156 (85.960) Epoch: [63][2480/10010] Time 0.314 (0.328) Data 0.001 (0.002) Loss 1.1779 (1.4317) Prec@1 71.875 (66.898) Prec@5 89.844 (85.960) Epoch: [63][2490/10010] Time 0.316 (0.328) Data 0.001 (0.002) Loss 1.2719 (1.4319) Prec@1 70.312 (66.899) Prec@5 88.281 (85.953) Epoch: [63][2500/10010] Time 0.317 (0.328) Data 0.001 (0.002) Loss 1.6233 (1.4318) Prec@1 65.625 (66.902) Prec@5 86.719 (85.953) Epoch: [63][2510/10010] Time 0.336 (0.328) Data 0.001 (0.002) Loss 1.0791 (1.4317) Prec@1 77.344 (66.904) Prec@5 92.969 (85.959) Epoch: [63][2520/10010] Time 0.328 (0.328) Data 0.001 (0.002) Loss 1.4160 (1.4322) Prec@1 70.312 (66.899) Prec@5 86.719 (85.952) /data/vision/torralba/deepscene/lib/anaconda2/lib/python2.7/site-packages/PIL/TiffImagePlugin.py:692: UserWarning: Possibly corrupt EXIF data. Expecting to read 2555904 bytes but only got 0. Skipping tag 0 "Skipping tag %s" % (size, len(data), tag)) Epoch: [63][2530/10010] Time 0.325 (0.328) Data 0.001 (0.002) Loss 1.2037 (1.4323) Prec@1 70.312 (66.895) Prec@5 90.625 (85.950) Epoch: [63][2540/10010] Time 0.331 (0.328) Data 0.001 (0.002) Loss 1.3318 (1.4323) Prec@1 70.312 (66.896) Prec@5 85.156 (85.951) Epoch: [63][2550/10010] Time 0.326 (0.328) Data 0.001 (0.002) Loss 1.6261 (1.4323) Prec@1 60.156 (66.893) Prec@5 85.156 (85.949) Epoch: [63][2560/10010] Time 0.330 (0.327) Data 0.000 (0.002) Loss 1.5413 (1.4323) Prec@1 61.719 (66.889) Prec@5 84.375 (85.947) Epoch: [63][2570/10010] Time 0.313 (0.327) Data 0.001 (0.002) Loss 1.3760 (1.4324) Prec@1 68.750 (66.888) Prec@5 85.938 (85.947) Epoch: [63][2580/10010] Time 0.316 (0.327) Data 0.000 (0.002) Loss 1.4108 (1.4324) Prec@1 68.750 (66.890) Prec@5 85.156 (85.948) Epoch: [63][2590/10010] Time 0.328 (0.327) Data 0.000 (0.002) Loss 1.4509 (1.4325) Prec@1 64.844 (66.887) Prec@5 85.938 (85.948) Epoch: [63][2600/10010] Time 0.336 (0.327) Data 0.000 (0.002) Loss 1.5381 (1.4325) Prec@1 63.281 (66.890) Prec@5 85.156 (85.946) Epoch: [63][2610/10010] Time 0.336 (0.327) Data 0.001 (0.002) Loss 1.3402 (1.4322) Prec@1 70.312 (66.894) Prec@5 85.938 (85.949) Epoch: [63][2620/10010] Time 0.320 (0.327) Data 0.000 (0.002) Loss 1.4468 (1.4322) Prec@1 66.406 (66.899) Prec@5 85.156 (85.944) Epoch: [63][2630/10010] Time 0.327 (0.327) Data 0.001 (0.002) Loss 1.5518 (1.4322) Prec@1 67.188 (66.900) Prec@5 85.938 (85.945) Epoch: [63][2640/10010] Time 0.330 (0.327) Data 0.001 (0.002) Loss 1.3954 (1.4323) Prec@1 67.188 (66.899) Prec@5 84.375 (85.945) Epoch: [63][2650/10010] Time 0.333 (0.327) Data 0.001 (0.002) Loss 1.7497 (1.4328) Prec@1 57.812 (66.889) Prec@5 82.812 (85.939) Epoch: [63][2660/10010] Time 0.327 (0.327) Data 0.001 (0.002) Loss 1.6844 (1.4328) Prec@1 61.719 (66.888) Prec@5 82.812 (85.944) Epoch: [63][2670/10010] Time 0.318 (0.327) Data 0.000 (0.002) Loss 1.3859 (1.4328) Prec@1 71.875 (66.892) Prec@5 86.719 (85.947) Epoch: [63][2680/10010] Time 0.321 (0.327) Data 0.001 (0.002) Loss 1.1386 (1.4327) Prec@1 74.219 (66.896) Prec@5 88.281 (85.946) Epoch: [63][2690/10010] Time 0.324 (0.327) Data 0.001 (0.002) Loss 1.5527 (1.4331) Prec@1 63.281 (66.888) Prec@5 84.375 (85.941) Epoch: [63][2700/10010] Time 0.338 (0.327) Data 0.000 (0.002) Loss 1.5341 (1.4335) Prec@1 62.500 (66.877) Prec@5 83.594 (85.934) Epoch: [63][2710/10010] Time 0.336 (0.327) Data 0.001 (0.002) Loss 1.7310 (1.4335) Prec@1 65.625 (66.878) Prec@5 82.812 (85.935) Epoch: [63][2720/10010] Time 0.328 (0.327) Data 0.001 (0.002) Loss 1.4112 (1.4330) Prec@1 64.844 (66.893) Prec@5 87.500 (85.940) Epoch: [63][2730/10010] Time 0.322 (0.327) Data 0.000 (0.002) Loss 1.6393 (1.4331) Prec@1 64.844 (66.893) Prec@5 82.031 (85.937) Epoch: [63][2740/10010] Time 0.309 (0.327) Data 0.001 (0.002) Loss 1.9658 (1.4333) Prec@1 58.594 (66.890) Prec@5 78.906 (85.934) Epoch: [63][2750/10010] Time 0.317 (0.327) Data 0.000 (0.002) Loss 1.4073 (1.4335) Prec@1 68.750 (66.896) Prec@5 86.719 (85.928) Epoch: [63][2760/10010] Time 0.330 (0.327) Data 0.001 (0.002) Loss 1.2176 (1.4336) Prec@1 71.094 (66.891) Prec@5 89.062 (85.929) Epoch: [63][2770/10010] Time 0.323 (0.327) Data 0.000 (0.002) Loss 1.7738 (1.4337) Prec@1 56.250 (66.886) Prec@5 80.469 (85.931) Epoch: [63][2780/10010] Time 0.314 (0.327) Data 0.001 (0.002) Loss 1.5653 (1.4334) Prec@1 62.500 (66.888) Prec@5 80.469 (85.935) Epoch: [63][2790/10010] Time 0.319 (0.327) Data 0.001 (0.002) Loss 1.3827 (1.4333) Prec@1 71.094 (66.895) Prec@5 85.156 (85.935) Epoch: [63][2800/10010] Time 0.334 (0.327) Data 0.001 (0.002) Loss 1.4079 (1.4333) Prec@1 64.844 (66.892) Prec@5 84.375 (85.934) Epoch: [63][2810/10010] Time 0.335 (0.327) Data 0.000 (0.002) Loss 1.8693 (1.4333) Prec@1 56.250 (66.894) Prec@5 79.688 (85.935) Epoch: [63][2820/10010] Time 0.322 (0.327) Data 0.001 (0.002) Loss 1.5690 (1.4331) Prec@1 62.500 (66.899) Prec@5 80.469 (85.938) Epoch: [63][2830/10010] Time 0.335 (0.327) Data 0.000 (0.002) Loss 1.4768 (1.4333) Prec@1 65.625 (66.897) Prec@5 84.375 (85.935) Epoch: [63][2840/10010] Time 0.332 (0.327) Data 0.001 (0.002) Loss 1.8418 (1.4334) Prec@1 64.062 (66.895) Prec@5 79.688 (85.935) Epoch: [63][2850/10010] Time 0.331 (0.327) Data 0.001 (0.002) Loss 1.3493 (1.4336) Prec@1 65.625 (66.892) Prec@5 84.375 (85.931) Epoch: [63][2860/10010] Time 0.337 (0.327) Data 0.001 (0.002) Loss 1.5032 (1.4335) Prec@1 60.938 (66.891) Prec@5 85.938 (85.932) Epoch: [63][2870/10010] Time 0.321 (0.327) Data 0.001 (0.002) Loss 1.3523 (1.4335) Prec@1 68.750 (66.888) Prec@5 88.281 (85.934) Epoch: [63][2880/10010] Time 0.313 (0.327) Data 0.000 (0.001) Loss 1.2480 (1.4332) Prec@1 70.312 (66.899) Prec@5 88.281 (85.934) Epoch: [63][2890/10010] Time 0.318 (0.327) Data 0.001 (0.001) Loss 1.9197 (1.4335) Prec@1 54.688 (66.891) Prec@5 79.688 (85.928) Epoch: [63][2900/10010] Time 0.322 (0.327) Data 0.001 (0.001) Loss 1.1117 (1.4335) Prec@1 69.531 (66.892) Prec@5 91.406 (85.932) Epoch: [63][2910/10010] Time 0.321 (0.327) Data 0.000 (0.001) Loss 1.4894 (1.4338) Prec@1 64.844 (66.882) Prec@5 82.031 (85.924) Epoch: [63][2920/10010] Time 0.318 (0.327) Data 0.000 (0.001) Loss 1.8097 (1.4338) Prec@1 59.375 (66.884) Prec@5 81.250 (85.924) Epoch: [63][2930/10010] Time 0.327 (0.327) Data 0.001 (0.001) Loss 1.2300 (1.4337) Prec@1 69.531 (66.883) Prec@5 89.844 (85.927) Epoch: [63][2940/10010] Time 0.333 (0.327) Data 0.001 (0.001) Loss 1.4235 (1.4337) Prec@1 64.844 (66.880) Prec@5 87.500 (85.923) Epoch: [63][2950/10010] Time 0.325 (0.327) Data 0.000 (0.001) Loss 1.3406 (1.4336) Prec@1 69.531 (66.884) Prec@5 88.281 (85.924) Epoch: [63][2960/10010] Time 0.332 (0.327) Data 0.001 (0.001) Loss 1.6141 (1.4339) Prec@1 61.719 (66.876) Prec@5 84.375 (85.924) Epoch: [63][2970/10010] Time 0.324 (0.327) Data 0.000 (0.001) Loss 1.4896 (1.4339) Prec@1 67.969 (66.875) Prec@5 85.156 (85.924) Epoch: [63][2980/10010] Time 0.339 (0.327) Data 0.001 (0.001) Loss 1.2315 (1.4336) Prec@1 68.750 (66.882) Prec@5 88.281 (85.928) Epoch: [63][2990/10010] Time 0.313 (0.327) Data 0.001 (0.001) Loss 1.4445 (1.4337) Prec@1 67.188 (66.883) Prec@5 88.281 (85.923) Epoch: [63][3000/10010] Time 0.318 (0.327) Data 0.000 (0.001) Loss 1.2386 (1.4334) Prec@1 72.656 (66.895) Prec@5 88.281 (85.927) Epoch: [63][3010/10010] Time 0.334 (0.327) Data 0.000 (0.001) Loss 1.4476 (1.4333) Prec@1 68.750 (66.898) Prec@5 82.812 (85.922) Epoch: [63][3020/10010] Time 0.337 (0.327) Data 0.001 (0.001) Loss 1.0782 (1.4329) Prec@1 77.344 (66.906) Prec@5 90.625 (85.926) Epoch: [63][3030/10010] Time 0.340 (0.327) Data 0.001 (0.001) Loss 1.2856 (1.4329) Prec@1 73.438 (66.906) Prec@5 85.938 (85.928) Epoch: [63][3040/10010] Time 0.328 (0.327) Data 0.001 (0.001) Loss 1.2804 (1.4330) Prec@1 66.406 (66.904) Prec@5 89.844 (85.930) Epoch: [63][3050/10010] Time 0.335 (0.327) Data 0.001 (0.001) Loss 1.4854 (1.4334) Prec@1 67.969 (66.897) Prec@5 85.938 (85.924) Epoch: [63][3060/10010] Time 0.326 (0.327) Data 0.001 (0.001) Loss 1.2078 (1.4334) Prec@1 70.312 (66.899) Prec@5 89.062 (85.923) Epoch: [63][3070/10010] Time 0.334 (0.327) Data 0.001 (0.001) Loss 1.2155 (1.4333) Prec@1 73.438 (66.899) Prec@5 87.500 (85.926) /data/vision/torralba/deepscene/lib/anaconda2/lib/python2.7/site-packages/PIL/TiffImagePlugin.py:692: UserWarning: Possibly corrupt EXIF data. Expecting to read 2555904 bytes but only got 0. Skipping tag 0 "Skipping tag %s" % (size, len(data), tag)) Epoch: [63][3080/10010] Time 0.321 (0.327) Data 0.000 (0.001) Loss 1.6592 (1.4334) Prec@1 62.500 (66.893) Prec@5 78.906 (85.921) Epoch: [63][3090/10010] Time 0.327 (0.327) Data 0.001 (0.001) Loss 1.5376 (1.4334) Prec@1 63.281 (66.891) Prec@5 83.594 (85.920) Epoch: [63][3100/10010] Time 0.318 (0.327) Data 0.001 (0.001) Loss 1.6782 (1.4335) Prec@1 60.938 (66.886) Prec@5 78.906 (85.914) Epoch: [63][3110/10010] Time 0.330 (0.327) Data 0.001 (0.001) Loss 1.5170 (1.4334) Prec@1 65.625 (66.887) Prec@5 85.938 (85.914) Epoch: [63][3120/10010] Time 0.337 (0.327) Data 0.001 (0.001) Loss 1.3977 (1.4334) Prec@1 66.406 (66.886) Prec@5 85.938 (85.911) Epoch: [63][3130/10010] Time 0.314 (0.327) Data 0.001 (0.001) Loss 1.2680 (1.4331) Prec@1 71.094 (66.893) Prec@5 90.625 (85.917) Epoch: [63][3140/10010] Time 0.334 (0.327) Data 0.001 (0.001) Loss 1.6833 (1.4331) Prec@1 57.812 (66.888) Prec@5 79.688 (85.919) Epoch: [63][3150/10010] Time 0.339 (0.327) Data 0.001 (0.001) Loss 1.4628 (1.4333) Prec@1 67.188 (66.887) Prec@5 83.594 (85.917) Epoch: [63][3160/10010] Time 0.315 (0.327) Data 0.001 (0.001) Loss 1.3027 (1.4331) Prec@1 67.969 (66.891) Prec@5 86.719 (85.921) Epoch: [63][3170/10010] Time 0.336 (0.327) Data 0.001 (0.001) Loss 1.5141 (1.4331) Prec@1 60.938 (66.889) Prec@5 85.156 (85.919) Epoch: [63][3180/10010] Time 0.336 (0.327) Data 0.001 (0.001) Loss 1.3977 (1.4330) Prec@1 66.406 (66.889) Prec@5 84.375 (85.919) Epoch: [63][3190/10010] Time 0.337 (0.327) Data 0.000 (0.001) Loss 1.5381 (1.4332) Prec@1 64.844 (66.886) Prec@5 82.812 (85.914) Epoch: [63][3200/10010] Time 0.317 (0.327) Data 0.000 (0.001) Loss 1.4922 (1.4332) Prec@1 67.969 (66.881) Prec@5 86.719 (85.912) Epoch: [63][3210/10010] Time 0.332 (0.327) Data 0.001 (0.001) Loss 1.6142 (1.4333) Prec@1 68.750 (66.884) Prec@5 84.375 (85.912) Epoch: [63][3220/10010] Time 0.340 (0.327) Data 0.000 (0.001) Loss 1.4804 (1.4333) Prec@1 65.625 (66.883) Prec@5 84.375 (85.914) Epoch: [63][3230/10010] Time 0.316 (0.327) Data 0.001 (0.001) Loss 1.4423 (1.4334) Prec@1 68.750 (66.882) Prec@5 83.594 (85.915) Epoch: [63][3240/10010] Time 0.334 (0.327) Data 0.001 (0.001) Loss 1.4010 (1.4332) Prec@1 66.406 (66.887) Prec@5 85.156 (85.916) Epoch: [63][3250/10010] Time 0.323 (0.327) Data 0.001 (0.001) Loss 1.4167 (1.4334) Prec@1 70.312 (66.887) Prec@5 85.156 (85.915) Epoch: [63][3260/10010] Time 0.337 (0.327) Data 0.001 (0.001) Loss 1.4086 (1.4334) Prec@1 69.531 (66.881) Prec@5 85.156 (85.914) Epoch: [63][3270/10010] Time 0.332 (0.327) Data 0.001 (0.001) Loss 1.5801 (1.4332) Prec@1 60.938 (66.883) Prec@5 82.031 (85.914) Epoch: [63][3280/10010] Time 0.319 (0.327) Data 0.001 (0.001) Loss 1.3209 (1.4333) Prec@1 71.094 (66.882) Prec@5 86.719 (85.914) Epoch: [63][3290/10010] Time 0.342 (0.327) Data 0.001 (0.001) Loss 1.1385 (1.4331) Prec@1 72.656 (66.881) Prec@5 91.406 (85.917) Epoch: [63][3300/10010] Time 0.315 (0.327) Data 0.000 (0.001) Loss 1.5452 (1.4332) Prec@1 68.750 (66.880) Prec@5 82.031 (85.915) Epoch: [63][3310/10010] Time 0.312 (0.327) Data 0.001 (0.001) Loss 1.5703 (1.4335) Prec@1 65.625 (66.874) Prec@5 82.812 (85.909) Epoch: [63][3320/10010] Time 0.339 (0.327) Data 0.001 (0.001) Loss 1.7517 (1.4336) Prec@1 60.156 (66.867) Prec@5 81.250 (85.907) Epoch: [63][3330/10010] Time 0.341 (0.327) Data 0.001 (0.001) Loss 1.3499 (1.4337) Prec@1 71.875 (66.865) Prec@5 88.281 (85.906) Epoch: [63][3340/10010] Time 0.325 (0.327) Data 0.000 (0.001) Loss 1.5821 (1.4337) Prec@1 64.062 (66.868) Prec@5 86.719 (85.910) Epoch: [63][3350/10010] Time 0.325 (0.327) Data 0.000 (0.001) Loss 1.4146 (1.4339) Prec@1 74.219 (66.865) Prec@5 86.719 (85.905) Epoch: [63][3360/10010] Time 0.335 (0.327) Data 0.000 (0.001) Loss 1.4616 (1.4340) Prec@1 61.719 (66.863) Prec@5 85.938 (85.902) Epoch: [63][3370/10010] Time 0.317 (0.327) Data 0.000 (0.001) Loss 1.4337 (1.4342) Prec@1 64.062 (66.865) Prec@5 89.062 (85.897) Epoch: [63][3380/10010] Time 0.321 (0.327) Data 0.001 (0.001) Loss 1.3467 (1.4341) Prec@1 69.531 (66.863) Prec@5 85.938 (85.898) Epoch: [63][3390/10010] Time 0.334 (0.327) Data 0.001 (0.001) Loss 1.3779 (1.4339) Prec@1 71.875 (66.872) Prec@5 86.719 (85.901) Epoch: [63][3400/10010] Time 0.309 (0.327) Data 0.000 (0.001) Loss 1.4822 (1.4340) Prec@1 65.625 (66.870) Prec@5 84.375 (85.902) Epoch: [63][3410/10010] Time 0.317 (0.327) Data 0.001 (0.001) Loss 1.2807 (1.4339) Prec@1 67.188 (66.869) Prec@5 89.062 (85.904) Epoch: [63][3420/10010] Time 0.319 (0.327) Data 0.001 (0.001) Loss 1.5860 (1.4340) Prec@1 65.625 (66.867) Prec@5 86.719 (85.905) Epoch: [63][3430/10010] Time 0.317 (0.327) Data 0.001 (0.001) Loss 1.3809 (1.4340) Prec@1 63.281 (66.870) Prec@5 85.938 (85.906) Epoch: [63][3440/10010] Time 0.335 (0.327) Data 0.000 (0.001) Loss 1.1191 (1.4336) Prec@1 74.219 (66.876) Prec@5 89.062 (85.914) Epoch: [63][3450/10010] Time 0.312 (0.327) Data 0.001 (0.001) Loss 1.5100 (1.4334) Prec@1 68.750 (66.878) Prec@5 86.719 (85.917) Epoch: [63][3460/10010] Time 0.334 (0.327) Data 0.001 (0.001) Loss 1.4988 (1.4336) Prec@1 65.625 (66.871) Prec@5 87.500 (85.915) Epoch: [63][3470/10010] Time 0.314 (0.327) Data 0.000 (0.001) Loss 1.4893 (1.4336) Prec@1 64.844 (66.874) Prec@5 85.938 (85.915) Epoch: [63][3480/10010] Time 0.320 (0.327) Data 0.000 (0.001) Loss 1.3260 (1.4335) Prec@1 68.750 (66.878) Prec@5 83.594 (85.916) Epoch: [63][3490/10010] Time 0.320 (0.327) Data 0.001 (0.001) Loss 1.6178 (1.4337) Prec@1 61.719 (66.875) Prec@5 82.031 (85.914) Epoch: [63][3500/10010] Time 0.335 (0.327) Data 0.000 (0.001) Loss 1.3615 (1.4337) Prec@1 67.969 (66.880) Prec@5 85.156 (85.912) Epoch: [63][3510/10010] Time 0.319 (0.327) Data 0.000 (0.001) Loss 1.4130 (1.4337) Prec@1 64.844 (66.878) Prec@5 86.719 (85.914) Epoch: [63][3520/10010] Time 0.331 (0.327) Data 0.000 (0.001) Loss 1.5683 (1.4334) Prec@1 65.625 (66.885) Prec@5 82.031 (85.916) Epoch: [63][3530/10010] Time 0.313 (0.327) Data 0.001 (0.001) Loss 1.4597 (1.4336) Prec@1 61.719 (66.880) Prec@5 83.594 (85.915) Epoch: [63][3540/10010] Time 0.341 (0.327) Data 0.001 (0.001) Loss 1.6183 (1.4337) Prec@1 64.062 (66.880) Prec@5 80.469 (85.913) Epoch: [63][3550/10010] Time 0.335 (0.327) Data 0.001 (0.001) Loss 1.4163 (1.4337) Prec@1 67.188 (66.882) Prec@5 86.719 (85.915) Epoch: [63][3560/10010] Time 0.335 (0.327) Data 0.000 (0.001) Loss 1.6986 (1.4339) Prec@1 63.281 (66.884) Prec@5 80.469 (85.914) Epoch: [63][3570/10010] Time 0.331 (0.327) Data 0.000 (0.001) Loss 1.4752 (1.4339) Prec@1 67.969 (66.883) Prec@5 86.719 (85.915) Epoch: [63][3580/10010] Time 0.316 (0.327) Data 0.000 (0.001) Loss 1.3094 (1.4341) Prec@1 71.094 (66.883) Prec@5 89.844 (85.914) Epoch: [63][3590/10010] Time 0.334 (0.327) Data 0.000 (0.001) Loss 1.4695 (1.4341) Prec@1 66.406 (66.881) Prec@5 86.719 (85.914) Epoch: [63][3600/10010] Time 0.313 (0.327) Data 0.001 (0.001) Loss 1.5795 (1.4343) Prec@1 66.406 (66.877) Prec@5 82.031 (85.909) Epoch: [63][3610/10010] Time 0.321 (0.327) Data 0.001 (0.001) Loss 1.1761 (1.4344) Prec@1 70.312 (66.874) Prec@5 89.844 (85.907) Epoch: [63][3620/10010] Time 0.330 (0.327) Data 0.000 (0.001) Loss 1.5810 (1.4342) Prec@1 66.406 (66.879) Prec@5 82.031 (85.910) Epoch: [63][3630/10010] Time 0.323 (0.327) Data 0.000 (0.001) Loss 1.4070 (1.4342) Prec@1 67.969 (66.876) Prec@5 90.625 (85.913) Epoch: [63][3640/10010] Time 0.331 (0.327) Data 0.001 (0.001) Loss 1.3413 (1.4344) Prec@1 75.000 (66.877) Prec@5 89.844 (85.909) Epoch: [63][3650/10010] Time 0.333 (0.327) Data 0.000 (0.001) Loss 1.5580 (1.4345) Prec@1 61.719 (66.876) Prec@5 86.719 (85.909) Epoch: [63][3660/10010] Time 0.315 (0.327) Data 0.000 (0.001) Loss 1.1046 (1.4345) Prec@1 69.531 (66.876) Prec@5 92.188 (85.910) Epoch: [63][3670/10010] Time 0.311 (0.327) Data 0.001 (0.001) Loss 1.5957 (1.4346) Prec@1 59.375 (66.872) Prec@5 82.031 (85.907) Epoch: [63][3680/10010] Time 0.310 (0.327) Data 0.000 (0.001) Loss 1.2162 (1.4345) Prec@1 71.875 (66.874) Prec@5 88.281 (85.908) Epoch: [63][3690/10010] Time 0.313 (0.327) Data 0.001 (0.001) Loss 0.9843 (1.4347) Prec@1 73.438 (66.872) Prec@5 92.969 (85.907) Epoch: [63][3700/10010] Time 0.335 (0.327) Data 0.001 (0.001) Loss 1.8383 (1.4350) Prec@1 57.031 (66.867) Prec@5 78.125 (85.901) Epoch: [63][3710/10010] Time 0.337 (0.327) Data 0.001 (0.001) Loss 1.4074 (1.4349) Prec@1 66.406 (66.869) Prec@5 85.156 (85.902) Epoch: [63][3720/10010] Time 0.338 (0.327) Data 0.000 (0.001) Loss 1.6364 (1.4353) Prec@1 60.938 (66.859) Prec@5 86.719 (85.896) Epoch: [63][3730/10010] Time 0.333 (0.327) Data 0.001 (0.001) Loss 1.2662 (1.4351) Prec@1 71.875 (66.865) Prec@5 88.281 (85.898) Epoch: [63][3740/10010] Time 0.318 (0.327) Data 0.001 (0.001) Loss 1.4495 (1.4353) Prec@1 67.188 (66.861) Prec@5 86.719 (85.895) Epoch: [63][3750/10010] Time 0.331 (0.327) Data 0.001 (0.001) Loss 1.5620 (1.4354) Prec@1 59.375 (66.857) Prec@5 84.375 (85.898) Epoch: [63][3760/10010] Time 0.339 (0.327) Data 0.000 (0.001) Loss 1.3479 (1.4352) Prec@1 64.062 (66.857) Prec@5 84.375 (85.900) Epoch: [63][3770/10010] Time 0.317 (0.327) Data 0.000 (0.001) Loss 1.2819 (1.4349) Prec@1 69.531 (66.860) Prec@5 86.719 (85.902) Epoch: [63][3780/10010] Time 0.342 (0.327) Data 0.000 (0.001) Loss 1.1486 (1.4346) Prec@1 67.969 (66.865) Prec@5 90.625 (85.905) Epoch: [63][3790/10010] Time 0.320 (0.327) Data 0.001 (0.001) Loss 1.3906 (1.4345) Prec@1 66.406 (66.866) Prec@5 87.500 (85.908) Epoch: [63][3800/10010] Time 0.319 (0.327) Data 0.001 (0.001) Loss 1.4510 (1.4346) Prec@1 66.406 (66.863) Prec@5 85.156 (85.906) Epoch: [63][3810/10010] Time 0.322 (0.327) Data 0.000 (0.001) Loss 1.5815 (1.4346) Prec@1 69.531 (66.866) Prec@5 82.812 (85.907) Epoch: [63][3820/10010] Time 0.317 (0.327) Data 0.001 (0.001) Loss 1.3882 (1.4345) Prec@1 64.062 (66.869) Prec@5 85.156 (85.906) Epoch: [63][3830/10010] Time 0.323 (0.327) Data 0.001 (0.001) Loss 1.1254 (1.4346) Prec@1 74.219 (66.869) Prec@5 89.844 (85.904) Epoch: [63][3840/10010] Time 0.335 (0.327) Data 0.001 (0.001) Loss 1.3129 (1.4346) Prec@1 72.656 (66.871) Prec@5 86.719 (85.904) Epoch: [63][3850/10010] Time 0.338 (0.327) Data 0.000 (0.001) Loss 1.4785 (1.4349) Prec@1 67.969 (66.865) Prec@5 84.375 (85.900) Epoch: [63][3860/10010] Time 0.314 (0.327) Data 0.001 (0.001) Loss 1.8086 (1.4349) Prec@1 60.156 (66.869) Prec@5 76.562 (85.897) Epoch: [63][3870/10010] Time 0.322 (0.327) Data 0.001 (0.001) Loss 1.3836 (1.4348) Prec@1 68.750 (66.872) Prec@5 85.156 (85.897) Epoch: [63][3880/10010] Time 0.338 (0.327) Data 0.001 (0.001) Loss 1.5015 (1.4350) Prec@1 62.500 (66.865) Prec@5 84.375 (85.894) Epoch: [63][3890/10010] Time 0.314 (0.327) Data 0.001 (0.001) Loss 1.5623 (1.4351) Prec@1 64.844 (66.864) Prec@5 84.375 (85.893) Epoch: [63][3900/10010] Time 0.321 (0.327) Data 0.000 (0.001) Loss 1.4858 (1.4350) Prec@1 67.969 (66.862) Prec@5 85.156 (85.891) Epoch: [63][3910/10010] Time 0.315 (0.327) Data 0.001 (0.001) Loss 1.5644 (1.4352) Prec@1 60.156 (66.854) Prec@5 80.469 (85.886) Epoch: [63][3920/10010] Time 0.326 (0.327) Data 0.001 (0.001) Loss 1.4474 (1.4352) Prec@1 67.188 (66.856) Prec@5 87.500 (85.888) Epoch: [63][3930/10010] Time 0.334 (0.327) Data 0.000 (0.001) Loss 1.4658 (1.4351) Prec@1 69.531 (66.855) Prec@5 84.375 (85.890) Epoch: [63][3940/10010] Time 0.317 (0.327) Data 0.000 (0.001) Loss 1.6823 (1.4352) Prec@1 60.938 (66.856) Prec@5 84.375 (85.888) Epoch: [63][3950/10010] Time 0.313 (0.327) Data 0.001 (0.001) Loss 1.2382 (1.4351) Prec@1 69.531 (66.859) Prec@5 89.844 (85.890) Epoch: [63][3960/10010] Time 0.335 (0.327) Data 0.001 (0.001) Loss 1.6016 (1.4352) Prec@1 64.062 (66.856) Prec@5 84.375 (85.891) Epoch: [63][3970/10010] Time 0.313 (0.327) Data 0.000 (0.001) Loss 1.4123 (1.4352) Prec@1 67.969 (66.858) Prec@5 83.594 (85.891) Epoch: [63][3980/10010] Time 0.324 (0.327) Data 0.000 (0.001) Loss 1.5763 (1.4352) Prec@1 64.062 (66.861) Prec@5 83.594 (85.891) Epoch: [63][3990/10010] Time 0.339 (0.327) Data 0.000 (0.001) Loss 1.5316 (1.4351) Prec@1 67.188 (66.862) Prec@5 85.156 (85.894) Epoch: [63][4000/10010] Time 0.333 (0.327) Data 0.000 (0.001) Loss 1.3115 (1.4352) Prec@1 71.094 (66.861) Prec@5 86.719 (85.891) Epoch: [63][4010/10010] Time 0.316 (0.327) Data 0.001 (0.001) Loss 1.4778 (1.4351) Prec@1 64.062 (66.864) Prec@5 85.156 (85.891) Epoch: [63][4020/10010] Time 0.313 (0.327) Data 0.000 (0.001) Loss 1.3647 (1.4350) Prec@1 68.750 (66.865) Prec@5 86.719 (85.890) Epoch: [63][4030/10010] Time 0.320 (0.327) Data 0.000 (0.001) Loss 1.4465 (1.4351) Prec@1 64.062 (66.865) Prec@5 82.812 (85.889) Epoch: [63][4040/10010] Time 0.319 (0.327) Data 0.000 (0.001) Loss 1.5891 (1.4351) Prec@1 60.938 (66.861) Prec@5 81.250 (85.891) Epoch: [63][4050/10010] Time 0.331 (0.327) Data 0.000 (0.001) Loss 1.5264 (1.4351) Prec@1 64.844 (66.860) Prec@5 89.062 (85.892) Epoch: [63][4060/10010] Time 0.323 (0.327) Data 0.000 (0.001) Loss 1.4453 (1.4351) Prec@1 69.531 (66.862) Prec@5 89.062 (85.894) Epoch: [63][4070/10010] Time 0.330 (0.327) Data 0.001 (0.001) Loss 1.5235 (1.4350) Prec@1 66.406 (66.864) Prec@5 85.156 (85.895) Epoch: [63][4080/10010] Time 0.315 (0.327) Data 0.001 (0.001) Loss 1.6325 (1.4349) Prec@1 58.594 (66.863) Prec@5 81.250 (85.899) Epoch: [63][4090/10010] Time 0.331 (0.327) Data 0.001 (0.001) Loss 1.7854 (1.4348) Prec@1 57.031 (66.865) Prec@5 82.031 (85.897) Epoch: [63][4100/10010] Time 0.340 (0.327) Data 0.000 (0.001) Loss 1.3190 (1.4348) Prec@1 68.750 (66.863) Prec@5 86.719 (85.899) Epoch: [63][4110/10010] Time 0.317 (0.327) Data 0.001 (0.001) Loss 1.4083 (1.4349) Prec@1 67.188 (66.860) Prec@5 89.062 (85.899) Epoch: [63][4120/10010] Time 0.329 (0.327) Data 0.000 (0.001) Loss 1.6051 (1.4348) Prec@1 61.719 (66.862) Prec@5 84.375 (85.898) Epoch: [63][4130/10010] Time 0.306 (0.327) Data 0.001 (0.001) Loss 1.6746 (1.4349) Prec@1 57.031 (66.857) Prec@5 85.156 (85.897) Epoch: [63][4140/10010] Time 0.339 (0.327) Data 0.001 (0.001) Loss 1.4444 (1.4348) Prec@1 67.188 (66.859) Prec@5 85.938 (85.898) Epoch: [63][4150/10010] Time 0.349 (0.327) Data 0.001 (0.001) Loss 1.5799 (1.4348) Prec@1 64.062 (66.857) Prec@5 84.375 (85.896) Epoch: [63][4160/10010] Time 0.340 (0.327) Data 0.001 (0.001) Loss 1.6587 (1.4350) Prec@1 66.406 (66.855) Prec@5 84.375 (85.896) Epoch: [63][4170/10010] Time 0.335 (0.327) Data 0.001 (0.001) Loss 1.4941 (1.4348) Prec@1 66.406 (66.859) Prec@5 84.375 (85.898) Epoch: [63][4180/10010] Time 0.315 (0.327) Data 0.001 (0.001) Loss 1.3477 (1.4350) Prec@1 71.094 (66.857) Prec@5 85.938 (85.898) Epoch: [63][4190/10010] Time 0.328 (0.327) Data 0.001 (0.001) Loss 1.2339 (1.4350) Prec@1 75.781 (66.861) Prec@5 89.062 (85.897) Epoch: [63][4200/10010] Time 0.328 (0.327) Data 0.001 (0.001) Loss 1.3868 (1.4350) Prec@1 64.062 (66.863) Prec@5 85.156 (85.898) Epoch: [63][4210/10010] Time 0.335 (0.327) Data 0.000 (0.001) Loss 1.3517 (1.4350) Prec@1 69.531 (66.865) Prec@5 85.156 (85.898) Epoch: [63][4220/10010] Time 0.336 (0.327) Data 0.000 (0.001) Loss 1.3050 (1.4349) Prec@1 71.875 (66.866) Prec@5 89.844 (85.900) Epoch: [63][4230/10010] Time 0.336 (0.327) Data 0.001 (0.001) Loss 1.6317 (1.4350) Prec@1 61.719 (66.863) Prec@5 82.031 (85.899) Epoch: [63][4240/10010] Time 0.339 (0.327) Data 0.001 (0.001) Loss 1.3492 (1.4349) Prec@1 67.188 (66.864) Prec@5 83.594 (85.901) Epoch: [63][4250/10010] Time 0.336 (0.327) Data 0.000 (0.001) Loss 1.1728 (1.4349) Prec@1 69.531 (66.862) Prec@5 89.844 (85.900) Epoch: [63][4260/10010] Time 0.324 (0.327) Data 0.001 (0.001) Loss 1.5432 (1.4349) Prec@1 64.062 (66.859) Prec@5 85.938 (85.900) Epoch: [63][4270/10010] Time 0.327 (0.327) Data 0.000 (0.001) Loss 1.3316 (1.4351) Prec@1 68.750 (66.853) Prec@5 87.500 (85.897) Epoch: [63][4280/10010] Time 0.317 (0.327) Data 0.000 (0.001) Loss 1.6394 (1.4350) Prec@1 66.406 (66.857) Prec@5 85.156 (85.898) Epoch: [63][4290/10010] Time 0.339 (0.327) Data 0.000 (0.001) Loss 1.5995 (1.4350) Prec@1 60.938 (66.856) Prec@5 83.594 (85.898) Epoch: [63][4300/10010] Time 0.318 (0.327) Data 0.000 (0.001) Loss 1.6517 (1.4350) Prec@1 64.844 (66.859) Prec@5 82.031 (85.898) Epoch: [63][4310/10010] Time 0.339 (0.327) Data 0.001 (0.001) Loss 1.3606 (1.4351) Prec@1 64.844 (66.855) Prec@5 88.281 (85.896) Epoch: [63][4320/10010] Time 0.329 (0.327) Data 0.001 (0.001) Loss 1.3441 (1.4352) Prec@1 67.969 (66.855) Prec@5 87.500 (85.894) Epoch: [63][4330/10010] Time 0.319 (0.327) Data 0.001 (0.001) Loss 1.3272 (1.4353) Prec@1 66.406 (66.853) Prec@5 91.406 (85.895) Epoch: [63][4340/10010] Time 0.338 (0.327) Data 0.000 (0.001) Loss 1.5405 (1.4354) Prec@1 65.625 (66.853) Prec@5 85.156 (85.896) Epoch: [63][4350/10010] Time 0.310 (0.327) Data 0.001 (0.001) Loss 1.3086 (1.4353) Prec@1 67.969 (66.850) Prec@5 83.594 (85.895) Epoch: [63][4360/10010] Time 0.330 (0.327) Data 0.001 (0.001) Loss 1.3140 (1.4354) Prec@1 63.281 (66.848) Prec@5 89.844 (85.895) Epoch: [63][4370/10010] Time 0.326 (0.327) Data 0.001 (0.001) Loss 1.2202 (1.4351) Prec@1 71.875 (66.855) Prec@5 88.281 (85.898) Epoch: [63][4380/10010] Time 0.342 (0.327) Data 0.000 (0.001) Loss 1.3953 (1.4350) Prec@1 70.312 (66.859) Prec@5 85.156 (85.899) Epoch: [63][4390/10010] Time 0.341 (0.327) Data 0.000 (0.001) Loss 1.5184 (1.4350) Prec@1 64.062 (66.857) Prec@5 82.031 (85.898) Epoch: [63][4400/10010] Time 0.335 (0.327) Data 0.001 (0.001) Loss 1.0535 (1.4349) Prec@1 70.312 (66.861) Prec@5 92.188 (85.901) Epoch: [63][4410/10010] Time 0.312 (0.327) Data 0.001 (0.001) Loss 1.5398 (1.4347) Prec@1 64.062 (66.866) Prec@5 82.812 (85.904) Epoch: [63][4420/10010] Time 0.310 (0.327) Data 0.001 (0.001) Loss 1.7194 (1.4346) Prec@1 57.812 (66.866) Prec@5 82.812 (85.904) Epoch: [63][4430/10010] Time 0.337 (0.327) Data 0.001 (0.001) Loss 1.2799 (1.4347) Prec@1 67.188 (66.865) Prec@5 89.062 (85.903) Epoch: [63][4440/10010] Time 0.319 (0.327) Data 0.001 (0.001) Loss 1.6677 (1.4348) Prec@1 60.938 (66.861) Prec@5 81.250 (85.900) Epoch: [63][4450/10010] Time 0.315 (0.327) Data 0.001 (0.001) Loss 1.2955 (1.4349) Prec@1 69.531 (66.861) Prec@5 85.938 (85.899) Epoch: [63][4460/10010] Time 0.327 (0.327) Data 0.001 (0.001) Loss 1.4418 (1.4349) Prec@1 66.406 (66.862) Prec@5 83.594 (85.901) Epoch: [63][4470/10010] Time 0.337 (0.327) Data 0.001 (0.001) Loss 1.3815 (1.4349) Prec@1 66.406 (66.865) Prec@5 85.938 (85.902) Epoch: [63][4480/10010] Time 0.326 (0.327) Data 0.000 (0.001) Loss 1.4856 (1.4348) Prec@1 67.188 (66.871) Prec@5 85.156 (85.902) Epoch: [63][4490/10010] Time 0.315 (0.327) Data 0.001 (0.001) Loss 1.4563 (1.4348) Prec@1 67.969 (66.874) Prec@5 83.594 (85.901) Epoch: [63][4500/10010] Time 0.334 (0.327) Data 0.000 (0.001) Loss 1.0999 (1.4348) Prec@1 74.219 (66.872) Prec@5 89.062 (85.902) Epoch: [63][4510/10010] Time 0.325 (0.327) Data 0.001 (0.001) Loss 1.6108 (1.4348) Prec@1 65.625 (66.873) Prec@5 83.594 (85.903) Epoch: [63][4520/10010] Time 0.338 (0.327) Data 0.001 (0.001) Loss 1.1908 (1.4349) Prec@1 73.438 (66.871) Prec@5 89.844 (85.901) Epoch: [63][4530/10010] Time 0.319 (0.327) Data 0.001 (0.001) Loss 1.3309 (1.4348) Prec@1 69.531 (66.872) Prec@5 85.938 (85.904) Epoch: [63][4540/10010] Time 0.318 (0.327) Data 0.000 (0.001) Loss 1.1924 (1.4350) Prec@1 74.219 (66.873) Prec@5 92.188 (85.902) Epoch: [63][4550/10010] Time 0.332 (0.327) Data 0.001 (0.001) Loss 1.3158 (1.4350) Prec@1 65.625 (66.873) Prec@5 84.375 (85.902) Epoch: [63][4560/10010] Time 0.319 (0.327) Data 0.001 (0.001) Loss 1.5909 (1.4349) Prec@1 61.719 (66.876) Prec@5 82.031 (85.902) Epoch: [63][4570/10010] Time 0.333 (0.327) Data 0.001 (0.001) Loss 1.2826 (1.4350) Prec@1 71.875 (66.873) Prec@5 85.156 (85.900) Epoch: [63][4580/10010] Time 0.339 (0.327) Data 0.001 (0.001) Loss 1.3330 (1.4353) Prec@1 67.969 (66.870) Prec@5 85.938 (85.893) Epoch: [63][4590/10010] Time 0.314 (0.327) Data 0.000 (0.001) Loss 1.2856 (1.4352) Prec@1 74.219 (66.875) Prec@5 86.719 (85.896) Epoch: [63][4600/10010] Time 0.339 (0.327) Data 0.001 (0.001) Loss 1.6203 (1.4352) Prec@1 65.625 (66.878) Prec@5 82.812 (85.897) Epoch: [63][4610/10010] Time 0.318 (0.327) Data 0.001 (0.001) Loss 1.4023 (1.4352) Prec@1 71.094 (66.881) Prec@5 86.719 (85.897) Epoch: [63][4620/10010] Time 0.322 (0.327) Data 0.000 (0.001) Loss 1.2583 (1.4350) Prec@1 64.844 (66.886) Prec@5 89.062 (85.897) Epoch: [63][4630/10010] Time 0.339 (0.327) Data 0.001 (0.001) Loss 1.5658 (1.4350) Prec@1 63.281 (66.887) Prec@5 84.375 (85.897) Epoch: [63][4640/10010] Time 0.328 (0.327) Data 0.000 (0.001) Loss 1.2748 (1.4350) Prec@1 72.656 (66.890) Prec@5 88.281 (85.895) Epoch: [63][4650/10010] Time 0.320 (0.327) Data 0.000 (0.001) Loss 1.6811 (1.4352) Prec@1 67.188 (66.888) Prec@5 83.594 (85.895) Epoch: [63][4660/10010] Time 0.321 (0.327) Data 0.000 (0.001) Loss 1.3941 (1.4351) Prec@1 64.844 (66.888) Prec@5 86.719 (85.895) Epoch: [63][4670/10010] Time 0.332 (0.327) Data 0.001 (0.001) Loss 1.3673 (1.4349) Prec@1 67.969 (66.889) Prec@5 89.062 (85.897) Epoch: [63][4680/10010] Time 0.322 (0.327) Data 0.001 (0.001) Loss 1.2800 (1.4349) Prec@1 64.844 (66.892) Prec@5 87.500 (85.896) Epoch: [63][4690/10010] Time 0.329 (0.327) Data 0.001 (0.001) Loss 1.5029 (1.4350) Prec@1 65.625 (66.890) Prec@5 87.500 (85.894) Epoch: [63][4700/10010] Time 0.319 (0.327) Data 0.000 (0.001) Loss 1.2355 (1.4350) Prec@1 71.094 (66.890) Prec@5 85.938 (85.895) Epoch: [63][4710/10010] Time 0.339 (0.327) Data 0.001 (0.001) Loss 1.5810 (1.4349) Prec@1 63.281 (66.889) Prec@5 84.375 (85.894) Epoch: [63][4720/10010] Time 0.329 (0.327) Data 0.001 (0.001) Loss 1.3726 (1.4350) Prec@1 74.219 (66.887) Prec@5 89.844 (85.891) Epoch: [63][4730/10010] Time 0.314 (0.327) Data 0.001 (0.001) Loss 1.5975 (1.4351) Prec@1 60.938 (66.884) Prec@5 85.938 (85.890) Epoch: [63][4740/10010] Time 0.329 (0.327) Data 0.000 (0.001) Loss 1.4081 (1.4350) Prec@1 69.531 (66.885) Prec@5 84.375 (85.890) Epoch: [63][4750/10010] Time 0.322 (0.327) Data 0.001 (0.001) Loss 1.4608 (1.4350) Prec@1 68.750 (66.889) Prec@5 82.812 (85.890) Epoch: [63][4760/10010] Time 0.330 (0.327) Data 0.001 (0.001) Loss 1.2088 (1.4348) Prec@1 71.094 (66.893) Prec@5 90.625 (85.893) Epoch: [63][4770/10010] Time 0.332 (0.327) Data 0.000 (0.001) Loss 1.5380 (1.4349) Prec@1 70.312 (66.892) Prec@5 88.281 (85.891) Epoch: [63][4780/10010] Time 0.335 (0.327) Data 0.001 (0.001) Loss 1.3706 (1.4348) Prec@1 71.094 (66.893) Prec@5 87.500 (85.894) Epoch: [63][4790/10010] Time 0.335 (0.327) Data 0.001 (0.001) Loss 1.2030 (1.4347) Prec@1 75.781 (66.897) Prec@5 85.938 (85.896) Epoch: [63][4800/10010] Time 0.335 (0.327) Data 0.001 (0.001) Loss 1.3535 (1.4349) Prec@1 66.406 (66.892) Prec@5 88.281 (85.893) Epoch: [63][4810/10010] Time 0.320 (0.327) Data 0.000 (0.001) Loss 1.8014 (1.4349) Prec@1 56.250 (66.891) Prec@5 81.250 (85.892) Epoch: [63][4820/10010] Time 0.332 (0.327) Data 0.001 (0.001) Loss 1.3988 (1.4348) Prec@1 64.844 (66.889) Prec@5 84.375 (85.891) Epoch: [63][4830/10010] Time 0.337 (0.327) Data 0.000 (0.001) Loss 1.6145 (1.4349) Prec@1 68.750 (66.889) Prec@5 80.469 (85.889) Epoch: [63][4840/10010] Time 0.329 (0.327) Data 0.001 (0.001) Loss 1.3517 (1.4351) Prec@1 66.406 (66.886) Prec@5 88.281 (85.886) Epoch: [63][4850/10010] Time 0.338 (0.327) Data 0.001 (0.001) Loss 1.1272 (1.4351) Prec@1 74.219 (66.885) Prec@5 89.062 (85.885) Epoch: [63][4860/10010] Time 0.341 (0.327) Data 0.000 (0.001) Loss 1.4404 (1.4352) Prec@1 68.750 (66.884) Prec@5 83.594 (85.885) Epoch: [63][4870/10010] Time 0.314 (0.327) Data 0.001 (0.001) Loss 1.1732 (1.4351) Prec@1 75.000 (66.885) Prec@5 89.844 (85.885) Epoch: [63][4880/10010] Time 0.326 (0.327) Data 0.001 (0.001) Loss 1.2065 (1.4352) Prec@1 73.438 (66.883) Prec@5 89.062 (85.884) Epoch: [63][4890/10010] Time 0.332 (0.327) Data 0.001 (0.001) Loss 1.5808 (1.4353) Prec@1 63.281 (66.879) Prec@5 82.812 (85.881) Epoch: [63][4900/10010] Time 0.337 (0.327) Data 0.000 (0.001) Loss 1.3183 (1.4353) Prec@1 70.312 (66.880) Prec@5 88.281 (85.879) Epoch: [63][4910/10010] Time 0.322 (0.327) Data 0.001 (0.001) Loss 1.4715 (1.4353) Prec@1 68.750 (66.880) Prec@5 83.594 (85.880) Epoch: [63][4920/10010] Time 0.343 (0.327) Data 0.000 (0.001) Loss 1.4587 (1.4353) Prec@1 60.938 (66.877) Prec@5 85.938 (85.882) Epoch: [63][4930/10010] Time 0.325 (0.327) Data 0.001 (0.001) Loss 1.3577 (1.4351) Prec@1 69.531 (66.881) Prec@5 86.719 (85.882) Epoch: [63][4940/10010] Time 0.319 (0.327) Data 0.000 (0.001) Loss 1.5211 (1.4350) Prec@1 64.062 (66.882) Prec@5 88.281 (85.887) Epoch: [63][4950/10010] Time 0.332 (0.327) Data 0.001 (0.001) Loss 1.0606 (1.4350) Prec@1 75.781 (66.881) Prec@5 92.188 (85.885) Epoch: [63][4960/10010] Time 0.322 (0.327) Data 0.001 (0.001) Loss 1.4322 (1.4351) Prec@1 64.844 (66.877) Prec@5 89.062 (85.884) Epoch: [63][4970/10010] Time 0.318 (0.327) Data 0.001 (0.001) Loss 1.5252 (1.4350) Prec@1 64.844 (66.878) Prec@5 82.812 (85.886) Epoch: [63][4980/10010] Time 0.320 (0.327) Data 0.001 (0.001) Loss 1.7485 (1.4349) Prec@1 61.719 (66.877) Prec@5 81.250 (85.888) Epoch: [63][4990/10010] Time 0.325 (0.327) Data 0.001 (0.001) Loss 1.3437 (1.4350) Prec@1 72.656 (66.875) Prec@5 85.938 (85.888) Epoch: [63][5000/10010] Time 0.319 (0.327) Data 0.001 (0.001) Loss 1.5247 (1.4350) Prec@1 61.719 (66.871) Prec@5 82.031 (85.887) Epoch: [63][5010/10010] Time 0.330 (0.327) Data 0.001 (0.001) Loss 1.2820 (1.4351) Prec@1 71.094 (66.871) Prec@5 86.719 (85.887) Epoch: [63][5020/10010] Time 0.316 (0.327) Data 0.000 (0.001) Loss 1.5070 (1.4349) Prec@1 66.406 (66.874) Prec@5 84.375 (85.887) Epoch: [63][5030/10010] Time 0.324 (0.327) Data 0.001 (0.001) Loss 1.7689 (1.4351) Prec@1 64.062 (66.874) Prec@5 82.031 (85.885) Epoch: [63][5040/10010] Time 0.324 (0.327) Data 0.001 (0.001) Loss 1.4348 (1.4351) Prec@1 60.938 (66.872) Prec@5 89.062 (85.884) Epoch: [63][5050/10010] Time 0.316 (0.327) Data 0.001 (0.001) Loss 1.4496 (1.4350) Prec@1 63.281 (66.873) Prec@5 87.500 (85.886) Epoch: [63][5060/10010] Time 0.320 (0.327) Data 0.001 (0.001) Loss 1.2718 (1.4349) Prec@1 71.094 (66.873) Prec@5 86.719 (85.886) Epoch: [63][5070/10010] Time 0.317 (0.327) Data 0.000 (0.001) Loss 1.1787 (1.4348) Prec@1 67.188 (66.874) Prec@5 89.844 (85.889) Epoch: [63][5080/10010] Time 0.337 (0.327) Data 0.001 (0.001) Loss 1.4118 (1.4347) Prec@1 69.531 (66.878) Prec@5 84.375 (85.890) Epoch: [63][5090/10010] Time 0.317 (0.327) Data 0.001 (0.001) Loss 1.8220 (1.4349) Prec@1 63.281 (66.874) Prec@5 81.250 (85.888) Epoch: [63][5100/10010] Time 0.321 (0.327) Data 0.000 (0.001) Loss 1.4017 (1.4349) Prec@1 68.750 (66.871) Prec@5 85.156 (85.887) Epoch: [63][5110/10010] Time 0.338 (0.327) Data 0.001 (0.001) Loss 1.6187 (1.4349) Prec@1 67.969 (66.873) Prec@5 84.375 (85.887) Epoch: [63][5120/10010] Time 0.317 (0.327) Data 0.001 (0.001) Loss 1.5122 (1.4350) Prec@1 65.625 (66.873) Prec@5 86.719 (85.887) Epoch: [63][5130/10010] Time 0.337 (0.327) Data 0.000 (0.001) Loss 1.2293 (1.4349) Prec@1 72.656 (66.874) Prec@5 87.500 (85.888) Epoch: [63][5140/10010] Time 0.334 (0.327) Data 0.000 (0.001) Loss 1.3703 (1.4348) Prec@1 67.969 (66.876) Prec@5 87.500 (85.889) Epoch: [63][5150/10010] Time 0.321 (0.327) Data 0.000 (0.001) Loss 1.4460 (1.4349) Prec@1 65.625 (66.876) Prec@5 87.500 (85.888) Epoch: [63][5160/10010] Time 0.322 (0.327) Data 0.000 (0.001) Loss 1.4078 (1.4349) Prec@1 69.531 (66.877) Prec@5 82.812 (85.886) Epoch: [63][5170/10010] Time 0.335 (0.327) Data 0.001 (0.001) Loss 1.8087 (1.4350) Prec@1 59.375 (66.876) Prec@5 76.562 (85.883) Epoch: [63][5180/10010] Time 0.321 (0.327) Data 0.001 (0.001) Loss 1.4554 (1.4353) Prec@1 68.750 (66.872) Prec@5 82.812 (85.878) Epoch: [63][5190/10010] Time 0.314 (0.327) Data 0.001 (0.001) Loss 1.2467 (1.4352) Prec@1 64.844 (66.873) Prec@5 88.281 (85.879) Epoch: [63][5200/10010] Time 0.335 (0.327) Data 0.000 (0.001) Loss 1.2871 (1.4351) Prec@1 68.750 (66.876) Prec@5 85.938 (85.880) Epoch: [63][5210/10010] Time 0.336 (0.327) Data 0.001 (0.001) Loss 1.4261 (1.4352) Prec@1 62.500 (66.872) Prec@5 85.938 (85.880) Epoch: [63][5220/10010] Time 0.340 (0.327) Data 0.000 (0.001) Loss 1.2753 (1.4352) Prec@1 72.656 (66.875) Prec@5 86.719 (85.878) Epoch: [63][5230/10010] Time 0.333 (0.327) Data 0.000 (0.001) Loss 1.4641 (1.4352) Prec@1 63.281 (66.874) Prec@5 87.500 (85.878) Epoch: [63][5240/10010] Time 0.312 (0.327) Data 0.001 (0.001) Loss 1.2054 (1.4353) Prec@1 72.656 (66.872) Prec@5 90.625 (85.878) Epoch: [63][5250/10010] Time 0.327 (0.327) Data 0.001 (0.001) Loss 1.3940 (1.4354) Prec@1 65.625 (66.868) Prec@5 87.500 (85.876) Epoch: [63][5260/10010] Time 0.326 (0.327) Data 0.000 (0.001) Loss 1.5159 (1.4355) Prec@1 63.281 (66.869) Prec@5 84.375 (85.876) Epoch: [63][5270/10010] Time 0.343 (0.327) Data 0.001 (0.001) Loss 1.3375 (1.4355) Prec@1 71.094 (66.869) Prec@5 87.500 (85.876) Epoch: [63][5280/10010] Time 0.319 (0.327) Data 0.001 (0.001) Loss 1.4540 (1.4355) Prec@1 67.188 (66.869) Prec@5 83.594 (85.876) Epoch: [63][5290/10010] Time 0.328 (0.327) Data 0.001 (0.001) Loss 1.6933 (1.4354) Prec@1 64.062 (66.871) Prec@5 78.906 (85.876) Epoch: [63][5300/10010] Time 0.326 (0.327) Data 0.001 (0.001) Loss 1.6515 (1.4355) Prec@1 58.594 (66.868) Prec@5 82.031 (85.875) Epoch: [63][5310/10010] Time 0.327 (0.327) Data 0.000 (0.001) Loss 1.3513 (1.4354) Prec@1 68.750 (66.868) Prec@5 89.062 (85.877) Epoch: [63][5320/10010] Time 0.335 (0.327) Data 0.001 (0.001) Loss 1.3170 (1.4353) Prec@1 73.438 (66.868) Prec@5 85.938 (85.877) Epoch: [63][5330/10010] Time 0.324 (0.327) Data 0.001 (0.001) Loss 1.4880 (1.4354) Prec@1 64.062 (66.866) Prec@5 87.500 (85.876) Epoch: [63][5340/10010] Time 0.316 (0.327) Data 0.001 (0.001) Loss 1.4153 (1.4354) Prec@1 69.531 (66.868) Prec@5 87.500 (85.879) /data/vision/torralba/deepscene/lib/anaconda2/lib/python2.7/site-packages/PIL/TiffImagePlugin.py:692: UserWarning: Possibly corrupt EXIF data. Expecting to read 1835008 bytes but only got 0. Skipping tag 0 "Skipping tag %s" % (size, len(data), tag)) Epoch: [63][5350/10010] Time 0.317 (0.327) Data 0.000 (0.001) Loss 1.1382 (1.4355) Prec@1 73.438 (66.867) Prec@5 91.406 (85.876) Epoch: [63][5360/10010] Time 0.336 (0.327) Data 0.001 (0.001) Loss 1.1865 (1.4356) Prec@1 69.531 (66.866) Prec@5 89.062 (85.875) Epoch: [63][5370/10010] Time 0.338 (0.327) Data 0.001 (0.001) Loss 1.4622 (1.4355) Prec@1 65.625 (66.868) Prec@5 90.625 (85.877) Epoch: [63][5380/10010] Time 0.331 (0.327) Data 0.001 (0.001) Loss 1.6788 (1.4356) Prec@1 62.500 (66.868) Prec@5 82.031 (85.876) Epoch: [63][5390/10010] Time 0.348 (0.327) Data 0.000 (0.001) Loss 1.5075 (1.4356) Prec@1 64.062 (66.865) Prec@5 87.500 (85.876) Epoch: [63][5400/10010] Time 0.320 (0.327) Data 0.001 (0.001) Loss 1.6938 (1.4356) Prec@1 60.156 (66.867) Prec@5 82.812 (85.877) Epoch: [63][5410/10010] Time 0.337 (0.327) Data 0.000 (0.001) Loss 1.5093 (1.4355) Prec@1 67.188 (66.869) Prec@5 85.938 (85.878) Epoch: [63][5420/10010] Time 0.330 (0.327) Data 0.001 (0.001) Loss 1.5254 (1.4355) Prec@1 64.844 (66.868) Prec@5 86.719 (85.875) Epoch: [63][5430/10010] Time 0.338 (0.327) Data 0.000 (0.001) Loss 1.3650 (1.4358) Prec@1 65.625 (66.860) Prec@5 87.500 (85.871) Epoch: [63][5440/10010] Time 0.334 (0.327) Data 0.000 (0.001) Loss 1.5984 (1.4357) Prec@1 64.062 (66.859) Prec@5 84.375 (85.873) Epoch: [63][5450/10010] Time 0.313 (0.327) Data 0.001 (0.001) Loss 1.0821 (1.4356) Prec@1 71.094 (66.862) Prec@5 90.625 (85.875) Epoch: [63][5460/10010] Time 0.340 (0.327) Data 0.001 (0.001) Loss 1.6352 (1.4355) Prec@1 68.750 (66.864) Prec@5 82.031 (85.875) Epoch: [63][5470/10010] Time 0.317 (0.327) Data 0.001 (0.001) Loss 1.2291 (1.4354) Prec@1 74.219 (66.866) Prec@5 90.625 (85.876) Epoch: [63][5480/10010] Time 0.324 (0.327) Data 0.000 (0.001) Loss 1.5087 (1.4357) Prec@1 66.406 (66.861) Prec@5 84.375 (85.872) Epoch: [63][5490/10010] Time 0.329 (0.327) Data 0.000 (0.001) Loss 1.6045 (1.4357) Prec@1 67.188 (66.859) Prec@5 84.375 (85.873) Epoch: [63][5500/10010] Time 0.330 (0.327) Data 0.000 (0.001) Loss 1.4118 (1.4357) Prec@1 64.062 (66.861) Prec@5 85.156 (85.874) Epoch: [63][5510/10010] Time 0.321 (0.327) Data 0.001 (0.001) Loss 1.4003 (1.4357) Prec@1 66.406 (66.859) Prec@5 85.156 (85.874) Epoch: [63][5520/10010] Time 0.326 (0.327) Data 0.001 (0.001) Loss 1.3546 (1.4357) Prec@1 65.625 (66.858) Prec@5 86.719 (85.874) Epoch: [63][5530/10010] Time 0.339 (0.327) Data 0.001 (0.001) Loss 1.2480 (1.4358) Prec@1 70.312 (66.859) Prec@5 89.844 (85.873) Epoch: [63][5540/10010] Time 0.322 (0.327) Data 0.000 (0.001) Loss 1.1163 (1.4357) Prec@1 69.531 (66.858) Prec@5 89.844 (85.875) Epoch: [63][5550/10010] Time 0.339 (0.327) Data 0.001 (0.001) Loss 1.4345 (1.4356) Prec@1 62.500 (66.859) Prec@5 89.062 (85.873) Epoch: [63][5560/10010] Time 0.322 (0.327) Data 0.000 (0.001) Loss 1.3235 (1.4356) Prec@1 71.875 (66.861) Prec@5 87.500 (85.874) Epoch: [63][5570/10010] Time 0.341 (0.327) Data 0.001 (0.001) Loss 1.4735 (1.4356) Prec@1 67.188 (66.861) Prec@5 85.156 (85.875) Epoch: [63][5580/10010] Time 0.337 (0.327) Data 0.001 (0.001) Loss 1.5465 (1.4357) Prec@1 60.156 (66.860) Prec@5 83.594 (85.874) Epoch: [63][5590/10010] Time 0.339 (0.327) Data 0.001 (0.001) Loss 1.8303 (1.4358) Prec@1 56.250 (66.859) Prec@5 76.562 (85.872) Epoch: [63][5600/10010] Time 0.316 (0.327) Data 0.000 (0.001) Loss 1.5758 (1.4358) Prec@1 60.938 (66.858) Prec@5 83.594 (85.873) Epoch: [63][5610/10010] Time 0.321 (0.327) Data 0.000 (0.001) Loss 1.8495 (1.4359) Prec@1 62.500 (66.855) Prec@5 79.688 (85.871) Epoch: [63][5620/10010] Time 0.337 (0.327) Data 0.001 (0.001) Loss 1.4761 (1.4359) Prec@1 66.406 (66.854) Prec@5 86.719 (85.872) Epoch: [63][5630/10010] Time 0.316 (0.327) Data 0.001 (0.001) Loss 1.2260 (1.4359) Prec@1 71.094 (66.855) Prec@5 89.062 (85.873) Epoch: [63][5640/10010] Time 0.314 (0.327) Data 0.001 (0.001) Loss 1.6110 (1.4358) Prec@1 71.094 (66.859) Prec@5 81.250 (85.874) Epoch: [63][5650/10010] Time 0.322 (0.327) Data 0.001 (0.001) Loss 1.3899 (1.4358) Prec@1 62.500 (66.859) Prec@5 83.594 (85.870) Epoch: [63][5660/10010] Time 0.339 (0.327) Data 0.001 (0.001) Loss 1.5613 (1.4358) Prec@1 61.719 (66.860) Prec@5 85.156 (85.871) Epoch: [63][5670/10010] Time 0.318 (0.327) Data 0.001 (0.001) Loss 1.6037 (1.4360) Prec@1 67.969 (66.859) Prec@5 82.031 (85.869) Epoch: [63][5680/10010] Time 0.335 (0.327) Data 0.001 (0.001) Loss 1.5041 (1.4360) Prec@1 65.625 (66.859) Prec@5 83.594 (85.870) Epoch: [63][5690/10010] Time 0.314 (0.327) Data 0.000 (0.001) Loss 1.3626 (1.4360) Prec@1 67.188 (66.859) Prec@5 85.938 (85.870) Epoch: [63][5700/10010] Time 0.333 (0.327) Data 0.000 (0.001) Loss 1.4443 (1.4359) Prec@1 68.750 (66.861) Prec@5 85.156 (85.869) Epoch: [63][5710/10010] Time 0.333 (0.327) Data 0.000 (0.001) Loss 1.2994 (1.4359) Prec@1 71.875 (66.861) Prec@5 88.281 (85.871) Epoch: [63][5720/10010] Time 0.334 (0.327) Data 0.000 (0.001) Loss 1.4462 (1.4359) Prec@1 69.531 (66.865) Prec@5 86.719 (85.872) Epoch: [63][5730/10010] Time 0.339 (0.327) Data 0.000 (0.001) Loss 1.4770 (1.4360) Prec@1 69.531 (66.863) Prec@5 82.812 (85.870) Epoch: [63][5740/10010] Time 0.339 (0.327) Data 0.000 (0.001) Loss 1.5251 (1.4361) Prec@1 64.844 (66.858) Prec@5 87.500 (85.869) Epoch: [63][5750/10010] Time 0.321 (0.327) Data 0.001 (0.001) Loss 1.2748 (1.4362) Prec@1 72.656 (66.855) Prec@5 89.062 (85.869) Epoch: [63][5760/10010] Time 0.331 (0.327) Data 0.001 (0.001) Loss 1.6274 (1.4363) Prec@1 60.938 (66.856) Prec@5 82.031 (85.865) Epoch: [63][5770/10010] Time 0.319 (0.327) Data 0.000 (0.001) Loss 1.8541 (1.4364) Prec@1 59.375 (66.852) Prec@5 82.031 (85.865) Epoch: [63][5780/10010] Time 0.318 (0.327) Data 0.001 (0.001) Loss 1.3848 (1.4364) Prec@1 69.531 (66.849) Prec@5 87.500 (85.863) Epoch: [63][5790/10010] Time 0.339 (0.327) Data 0.000 (0.001) Loss 1.2741 (1.4367) Prec@1 67.969 (66.847) Prec@5 86.719 (85.861) Epoch: [63][5800/10010] Time 0.343 (0.327) Data 0.001 (0.001) Loss 1.5542 (1.4366) Prec@1 63.281 (66.847) Prec@5 83.594 (85.864) Epoch: [63][5810/10010] Time 0.317 (0.327) Data 0.000 (0.001) Loss 1.1687 (1.4366) Prec@1 75.000 (66.848) Prec@5 90.625 (85.864) Epoch: [63][5820/10010] Time 0.340 (0.327) Data 0.000 (0.001) Loss 1.7152 (1.4367) Prec@1 57.031 (66.844) Prec@5 81.250 (85.863) Epoch: [63][5830/10010] Time 0.319 (0.327) Data 0.000 (0.001) Loss 1.4310 (1.4367) Prec@1 64.062 (66.842) Prec@5 86.719 (85.862) Epoch: [63][5840/10010] Time 0.317 (0.327) Data 0.001 (0.001) Loss 1.2193 (1.4367) Prec@1 71.875 (66.844) Prec@5 89.062 (85.863) Epoch: [63][5850/10010] Time 0.327 (0.327) Data 0.000 (0.001) Loss 1.2398 (1.4366) Prec@1 71.875 (66.847) Prec@5 91.406 (85.866) Epoch: [63][5860/10010] Time 0.336 (0.327) Data 0.000 (0.001) Loss 1.5703 (1.4365) Prec@1 65.625 (66.850) Prec@5 83.594 (85.866) Epoch: [63][5870/10010] Time 0.338 (0.327) Data 0.001 (0.001) Loss 1.5932 (1.4366) Prec@1 60.156 (66.847) Prec@5 84.375 (85.866) Epoch: [63][5880/10010] Time 0.337 (0.327) Data 0.001 (0.001) Loss 1.6382 (1.4367) Prec@1 64.844 (66.842) Prec@5 85.156 (85.864) Epoch: [63][5890/10010] Time 0.338 (0.327) Data 0.000 (0.001) Loss 1.5080 (1.4367) Prec@1 60.938 (66.841) Prec@5 85.938 (85.864) Epoch: [63][5900/10010] Time 0.327 (0.327) Data 0.000 (0.001) Loss 1.5154 (1.4368) Prec@1 64.844 (66.841) Prec@5 85.156 (85.864) Epoch: [63][5910/10010] Time 0.338 (0.327) Data 0.000 (0.001) Loss 1.2850 (1.4368) Prec@1 70.312 (66.840) Prec@5 89.844 (85.865) Epoch: [63][5920/10010] Time 0.329 (0.327) Data 0.001 (0.001) Loss 0.9685 (1.4367) Prec@1 76.562 (66.842) Prec@5 95.312 (85.868) Epoch: [63][5930/10010] Time 0.338 (0.327) Data 0.001 (0.001) Loss 1.3535 (1.4367) Prec@1 71.094 (66.845) Prec@5 84.375 (85.867) Epoch: [63][5940/10010] Time 0.324 (0.327) Data 0.000 (0.001) Loss 1.3474 (1.4365) Prec@1 67.188 (66.849) Prec@5 85.156 (85.870) Epoch: [63][5950/10010] Time 0.318 (0.327) Data 0.000 (0.001) Loss 1.4060 (1.4366) Prec@1 67.188 (66.848) Prec@5 84.375 (85.870) Epoch: [63][5960/10010] Time 0.330 (0.327) Data 0.000 (0.001) Loss 1.3984 (1.4366) Prec@1 67.188 (66.849) Prec@5 86.719 (85.870) Epoch: [63][5970/10010] Time 0.326 (0.327) Data 0.001 (0.001) Loss 1.7735 (1.4366) Prec@1 59.375 (66.848) Prec@5 81.250 (85.870) Epoch: [63][5980/10010] Time 0.339 (0.327) Data 0.000 (0.001) Loss 1.3880 (1.4365) Prec@1 71.094 (66.850) Prec@5 90.625 (85.873) Epoch: [63][5990/10010] Time 0.308 (0.327) Data 0.001 (0.001) Loss 1.7605 (1.4364) Prec@1 57.031 (66.851) Prec@5 82.812 (85.874) Epoch: [63][6000/10010] Time 0.323 (0.327) Data 0.000 (0.001) Loss 1.5143 (1.4365) Prec@1 70.312 (66.851) Prec@5 85.156 (85.873) Epoch: [63][6010/10010] Time 0.335 (0.327) Data 0.001 (0.001) Loss 1.7610 (1.4366) Prec@1 60.156 (66.845) Prec@5 83.594 (85.871) Epoch: [63][6020/10010] Time 0.332 (0.327) Data 0.001 (0.001) Loss 1.2960 (1.4367) Prec@1 67.188 (66.845) Prec@5 86.719 (85.869) Epoch: [63][6030/10010] Time 0.329 (0.327) Data 0.000 (0.001) Loss 1.4345 (1.4366) Prec@1 64.062 (66.845) Prec@5 89.062 (85.870) Epoch: [63][6040/10010] Time 0.334 (0.327) Data 0.000 (0.001) Loss 1.5015 (1.4365) Prec@1 65.625 (66.845) Prec@5 83.594 (85.871) Epoch: [63][6050/10010] Time 0.319 (0.327) Data 0.001 (0.001) Loss 1.8135 (1.4367) Prec@1 66.406 (66.843) Prec@5 81.250 (85.867) Epoch: [63][6060/10010] Time 0.316 (0.327) Data 0.001 (0.001) Loss 1.3724 (1.4368) Prec@1 70.312 (66.839) Prec@5 89.062 (85.868) Epoch: [63][6070/10010] Time 0.327 (0.327) Data 0.001 (0.001) Loss 1.3706 (1.4366) Prec@1 69.531 (66.840) Prec@5 85.938 (85.871) Epoch: [63][6080/10010] Time 0.320 (0.327) Data 0.000 (0.001) Loss 1.3571 (1.4366) Prec@1 68.750 (66.840) Prec@5 85.938 (85.870) Epoch: [63][6090/10010] Time 0.330 (0.327) Data 0.001 (0.001) Loss 1.5482 (1.4367) Prec@1 62.500 (66.838) Prec@5 82.031 (85.870) Epoch: [63][6100/10010] Time 0.319 (0.327) Data 0.001 (0.001) Loss 1.3575 (1.4366) Prec@1 67.969 (66.837) Prec@5 88.281 (85.871) Epoch: [63][6110/10010] Time 0.323 (0.327) Data 0.001 (0.001) Loss 1.7297 (1.4367) Prec@1 65.625 (66.837) Prec@5 78.906 (85.869) Epoch: [63][6120/10010] Time 0.322 (0.327) Data 0.001 (0.001) Loss 1.6099 (1.4368) Prec@1 64.062 (66.836) Prec@5 82.031 (85.867) Epoch: [63][6130/10010] Time 0.335 (0.327) Data 0.001 (0.001) Loss 1.2683 (1.4367) Prec@1 64.062 (66.839) Prec@5 89.844 (85.870) Epoch: [63][6140/10010] Time 0.332 (0.327) Data 0.001 (0.001) Loss 1.3148 (1.4367) Prec@1 72.656 (66.838) Prec@5 85.938 (85.870) Epoch: [63][6150/10010] Time 0.317 (0.327) Data 0.001 (0.001) Loss 1.1177 (1.4365) Prec@1 75.000 (66.841) Prec@5 92.188 (85.873) Epoch: [63][6160/10010] Time 0.322 (0.327) Data 0.001 (0.001) Loss 1.4267 (1.4365) Prec@1 64.062 (66.842) Prec@5 85.156 (85.872) Epoch: [63][6170/10010] Time 0.319 (0.327) Data 0.000 (0.001) Loss 1.4262 (1.4365) Prec@1 64.062 (66.839) Prec@5 86.719 (85.872) Epoch: [63][6180/10010] Time 0.339 (0.327) Data 0.001 (0.001) Loss 1.6063 (1.4365) Prec@1 64.844 (66.841) Prec@5 82.812 (85.873) Epoch: [63][6190/10010] Time 0.337 (0.327) Data 0.001 (0.001) Loss 1.2792 (1.4367) Prec@1 66.406 (66.838) Prec@5 91.406 (85.872) Epoch: [63][6200/10010] Time 0.332 (0.327) Data 0.001 (0.001) Loss 1.4627 (1.4366) Prec@1 64.062 (66.838) Prec@5 88.281 (85.872) Epoch: [63][6210/10010] Time 0.324 (0.327) Data 0.001 (0.001) Loss 1.6531 (1.4367) Prec@1 64.844 (66.836) Prec@5 79.688 (85.869) Epoch: [63][6220/10010] Time 0.316 (0.327) Data 0.000 (0.001) Loss 1.3546 (1.4367) Prec@1 72.656 (66.837) Prec@5 85.938 (85.870) Epoch: [63][6230/10010] Time 0.341 (0.327) Data 0.000 (0.001) Loss 1.4678 (1.4368) Prec@1 67.969 (66.835) Prec@5 82.031 (85.869) Epoch: [63][6240/10010] Time 0.315 (0.327) Data 0.001 (0.001) Loss 1.1005 (1.4367) Prec@1 67.969 (66.835) Prec@5 90.625 (85.870) Epoch: [63][6250/10010] Time 0.337 (0.327) Data 0.001 (0.001) Loss 1.1812 (1.4368) Prec@1 71.875 (66.834) Prec@5 89.062 (85.868) Epoch: [63][6260/10010] Time 0.327 (0.327) Data 0.000 (0.001) Loss 1.3912 (1.4369) Prec@1 69.531 (66.832) Prec@5 88.281 (85.869) Epoch: [63][6270/10010] Time 0.319 (0.327) Data 0.001 (0.001) Loss 1.2704 (1.4368) Prec@1 73.438 (66.834) Prec@5 86.719 (85.868) Epoch: [63][6280/10010] Time 0.323 (0.327) Data 0.001 (0.001) Loss 1.3979 (1.4368) Prec@1 67.969 (66.835) Prec@5 86.719 (85.867) Epoch: [63][6290/10010] Time 0.318 (0.327) Data 0.001 (0.001) Loss 1.6906 (1.4368) Prec@1 59.375 (66.830) Prec@5 80.469 (85.868) Epoch: [63][6300/10010] Time 0.320 (0.327) Data 0.001 (0.001) Loss 1.3998 (1.4366) Prec@1 69.531 (66.835) Prec@5 85.938 (85.870) Epoch: [63][6310/10010] Time 0.320 (0.327) Data 0.000 (0.001) Loss 1.1713 (1.4367) Prec@1 75.000 (66.836) Prec@5 88.281 (85.869) Epoch: [63][6320/10010] Time 0.333 (0.327) Data 0.001 (0.001) Loss 1.6310 (1.4369) Prec@1 60.156 (66.833) Prec@5 83.594 (85.865) Epoch: [63][6330/10010] Time 0.334 (0.327) Data 0.000 (0.001) Loss 1.5833 (1.4368) Prec@1 68.750 (66.835) Prec@5 82.812 (85.867) Epoch: [63][6340/10010] Time 0.327 (0.327) Data 0.000 (0.001) Loss 1.4916 (1.4368) Prec@1 67.188 (66.835) Prec@5 85.156 (85.867) Epoch: [63][6350/10010] Time 0.339 (0.327) Data 0.001 (0.001) Loss 1.2115 (1.4369) Prec@1 72.656 (66.832) Prec@5 89.844 (85.867) Epoch: [63][6360/10010] Time 0.315 (0.327) Data 0.001 (0.001) Loss 1.1783 (1.4369) Prec@1 71.094 (66.830) Prec@5 91.406 (85.868) Epoch: [63][6370/10010] Time 0.341 (0.327) Data 0.000 (0.001) Loss 1.4720 (1.4368) Prec@1 67.969 (66.834) Prec@5 86.719 (85.869) Epoch: [63][6380/10010] Time 0.320 (0.327) Data 0.001 (0.001) Loss 1.4952 (1.4369) Prec@1 64.062 (66.831) Prec@5 85.938 (85.866) Epoch: [63][6390/10010] Time 0.320 (0.327) Data 0.001 (0.001) Loss 1.2734 (1.4369) Prec@1 70.312 (66.829) Prec@5 85.938 (85.865) Epoch: [63][6400/10010] Time 0.331 (0.327) Data 0.001 (0.001) Loss 1.3364 (1.4369) Prec@1 66.406 (66.827) Prec@5 86.719 (85.866) Epoch: [63][6410/10010] Time 0.309 (0.327) Data 0.001 (0.001) Loss 1.2844 (1.4369) Prec@1 68.750 (66.829) Prec@5 85.156 (85.866) Epoch: [63][6420/10010] Time 0.328 (0.327) Data 0.001 (0.001) Loss 1.2775 (1.4369) Prec@1 70.312 (66.826) Prec@5 89.062 (85.867) Epoch: [63][6430/10010] Time 0.342 (0.327) Data 0.000 (0.001) Loss 1.4082 (1.4371) Prec@1 68.750 (66.822) Prec@5 84.375 (85.864) Epoch: [63][6440/10010] Time 0.340 (0.327) Data 0.001 (0.001) Loss 1.4093 (1.4371) Prec@1 64.844 (66.822) Prec@5 85.938 (85.864) Epoch: [63][6450/10010] Time 0.320 (0.327) Data 0.001 (0.001) Loss 1.3011 (1.4371) Prec@1 64.844 (66.818) Prec@5 89.844 (85.864) Epoch: [63][6460/10010] Time 0.330 (0.327) Data 0.000 (0.001) Loss 1.2008 (1.4370) Prec@1 75.000 (66.820) Prec@5 85.938 (85.867) Epoch: [63][6470/10010] Time 0.319 (0.327) Data 0.000 (0.001) Loss 1.4199 (1.4371) Prec@1 64.062 (66.818) Prec@5 87.500 (85.868) Epoch: [63][6480/10010] Time 0.329 (0.327) Data 0.001 (0.001) Loss 1.8110 (1.4371) Prec@1 56.250 (66.816) Prec@5 81.250 (85.868) Epoch: [63][6490/10010] Time 0.325 (0.327) Data 0.001 (0.001) Loss 1.1624 (1.4370) Prec@1 69.531 (66.818) Prec@5 92.969 (85.870) Epoch: [63][6500/10010] Time 0.329 (0.327) Data 0.001 (0.001) Loss 1.7723 (1.4370) Prec@1 60.156 (66.818) Prec@5 83.594 (85.869) Epoch: [63][6510/10010] Time 0.322 (0.327) Data 0.000 (0.001) Loss 1.4838 (1.4371) Prec@1 64.844 (66.816) Prec@5 80.469 (85.868) Epoch: [63][6520/10010] Time 0.342 (0.327) Data 0.001 (0.001) Loss 1.4256 (1.4372) Prec@1 64.844 (66.813) Prec@5 88.281 (85.866) Epoch: [63][6530/10010] Time 0.314 (0.327) Data 0.001 (0.001) Loss 1.2638 (1.4372) Prec@1 72.656 (66.809) Prec@5 84.375 (85.866) Epoch: [63][6540/10010] Time 0.322 (0.327) Data 0.000 (0.001) Loss 1.2890 (1.4373) Prec@1 68.750 (66.810) Prec@5 88.281 (85.865) Epoch: [63][6550/10010] Time 0.325 (0.327) Data 0.000 (0.001) Loss 1.3674 (1.4374) Prec@1 66.406 (66.808) Prec@5 84.375 (85.862) Epoch: [63][6560/10010] Time 0.334 (0.327) Data 0.000 (0.001) Loss 1.3991 (1.4375) Prec@1 69.531 (66.806) Prec@5 84.375 (85.861) Epoch: [63][6570/10010] Time 0.318 (0.327) Data 0.000 (0.001) Loss 1.7740 (1.4376) Prec@1 64.062 (66.803) Prec@5 78.906 (85.858) Epoch: [63][6580/10010] Time 0.337 (0.327) Data 0.001 (0.001) Loss 1.5271 (1.4376) Prec@1 67.188 (66.806) Prec@5 78.906 (85.858) Epoch: [63][6590/10010] Time 0.333 (0.327) Data 0.000 (0.001) Loss 1.1636 (1.4377) Prec@1 73.438 (66.806) Prec@5 90.625 (85.857) Epoch: [63][6600/10010] Time 0.329 (0.327) Data 0.001 (0.001) Loss 1.5857 (1.4378) Prec@1 61.719 (66.801) Prec@5 81.250 (85.854) Epoch: [63][6610/10010] Time 0.324 (0.327) Data 0.000 (0.001) Loss 1.4805 (1.4379) Prec@1 65.625 (66.799) Prec@5 81.250 (85.854) Epoch: [63][6620/10010] Time 0.319 (0.327) Data 0.001 (0.001) Loss 1.7675 (1.4379) Prec@1 59.375 (66.800) Prec@5 79.688 (85.854) Epoch: [63][6630/10010] Time 0.323 (0.327) Data 0.001 (0.001) Loss 1.4989 (1.4378) Prec@1 63.281 (66.800) Prec@5 80.469 (85.854) Epoch: [63][6640/10010] Time 0.324 (0.327) Data 0.000 (0.001) Loss 1.2978 (1.4379) Prec@1 69.531 (66.799) Prec@5 88.281 (85.854) Epoch: [63][6650/10010] Time 0.339 (0.327) Data 0.001 (0.001) Loss 1.4128 (1.4378) Prec@1 72.656 (66.800) Prec@5 83.594 (85.856) Epoch: [63][6660/10010] Time 0.321 (0.327) Data 0.001 (0.001) Loss 1.1799 (1.4377) Prec@1 74.219 (66.802) Prec@5 88.281 (85.859) Epoch: [63][6670/10010] Time 0.326 (0.327) Data 0.001 (0.001) Loss 1.5558 (1.4378) Prec@1 61.719 (66.800) Prec@5 82.812 (85.858) Epoch: [63][6680/10010] Time 0.334 (0.327) Data 0.001 (0.001) Loss 1.0879 (1.4377) Prec@1 72.656 (66.802) Prec@5 89.062 (85.861) Epoch: [63][6690/10010] Time 0.319 (0.327) Data 0.001 (0.001) Loss 1.5286 (1.4377) Prec@1 60.938 (66.799) Prec@5 85.938 (85.860) Epoch: [63][6700/10010] Time 0.337 (0.327) Data 0.001 (0.001) Loss 1.4473 (1.4377) Prec@1 66.406 (66.801) Prec@5 85.938 (85.860) Epoch: [63][6710/10010] Time 0.323 (0.327) Data 0.001 (0.001) Loss 1.3410 (1.4377) Prec@1 60.938 (66.799) Prec@5 88.281 (85.862) Epoch: [63][6720/10010] Time 0.320 (0.327) Data 0.001 (0.001) Loss 1.4900 (1.4377) Prec@1 67.969 (66.799) Prec@5 85.156 (85.862) Epoch: [63][6730/10010] Time 0.340 (0.327) Data 0.001 (0.001) Loss 1.3677 (1.4376) Prec@1 75.000 (66.801) Prec@5 85.938 (85.863) Epoch: [63][6740/10010] Time 0.341 (0.327) Data 0.000 (0.001) Loss 1.3196 (1.4375) Prec@1 67.969 (66.802) Prec@5 89.062 (85.863) Epoch: [63][6750/10010] Time 0.330 (0.327) Data 0.001 (0.001) Loss 1.5228 (1.4375) Prec@1 64.844 (66.803) Prec@5 84.375 (85.863) Epoch: [63][6760/10010] Time 0.338 (0.327) Data 0.000 (0.001) Loss 1.5853 (1.4374) Prec@1 64.844 (66.802) Prec@5 84.375 (85.866) Epoch: [63][6770/10010] Time 0.317 (0.327) Data 0.001 (0.001) Loss 1.3027 (1.4376) Prec@1 72.656 (66.800) Prec@5 85.938 (85.864) Epoch: [63][6780/10010] Time 0.341 (0.327) Data 0.000 (0.001) Loss 1.5170 (1.4377) Prec@1 63.281 (66.799) Prec@5 85.938 (85.862) Epoch: [63][6790/10010] Time 0.319 (0.327) Data 0.001 (0.001) Loss 1.3768 (1.4376) Prec@1 67.188 (66.799) Prec@5 85.156 (85.862) Epoch: [63][6800/10010] Time 0.321 (0.327) Data 0.000 (0.001) Loss 1.4743 (1.4376) Prec@1 66.406 (66.800) Prec@5 85.156 (85.862) Epoch: [63][6810/10010] Time 0.330 (0.327) Data 0.001 (0.001) Loss 1.6867 (1.4376) Prec@1 63.281 (66.798) Prec@5 83.594 (85.862) Epoch: [63][6820/10010] Time 0.340 (0.327) Data 0.000 (0.001) Loss 1.4066 (1.4376) Prec@1 67.188 (66.798) Prec@5 87.500 (85.863) Epoch: [63][6830/10010] Time 0.328 (0.327) Data 0.001 (0.001) Loss 1.5681 (1.4376) Prec@1 63.281 (66.797) Prec@5 85.938 (85.863) Epoch: [63][6840/10010] Time 0.330 (0.327) Data 0.001 (0.001) Loss 1.7584 (1.4376) Prec@1 62.500 (66.798) Prec@5 81.250 (85.863) Epoch: [63][6850/10010] Time 0.338 (0.327) Data 0.001 (0.001) Loss 1.3333 (1.4376) Prec@1 67.969 (66.797) Prec@5 87.500 (85.864) Epoch: [63][6860/10010] Time 0.308 (0.327) Data 0.001 (0.001) Loss 1.3535 (1.4376) Prec@1 71.875 (66.795) Prec@5 85.938 (85.864) Epoch: [63][6870/10010] Time 0.338 (0.327) Data 0.001 (0.001) Loss 1.3311 (1.4375) Prec@1 67.188 (66.795) Prec@5 87.500 (85.865) Epoch: [63][6880/10010] Time 0.319 (0.327) Data 0.001 (0.001) Loss 1.4347 (1.4376) Prec@1 64.844 (66.794) Prec@5 89.062 (85.863) Epoch: [63][6890/10010] Time 0.326 (0.327) Data 0.001 (0.001) Loss 1.4676 (1.4377) Prec@1 68.750 (66.792) Prec@5 85.938 (85.862) Epoch: [63][6900/10010] Time 0.342 (0.327) Data 0.001 (0.001) Loss 1.4195 (1.4377) Prec@1 72.656 (66.793) Prec@5 85.938 (85.863) Epoch: [63][6910/10010] Time 0.335 (0.327) Data 0.001 (0.001) Loss 1.4704 (1.4378) Prec@1 63.281 (66.790) Prec@5 87.500 (85.861) Epoch: [63][6920/10010] Time 0.327 (0.327) Data 0.001 (0.001) Loss 1.4761 (1.4379) Prec@1 63.281 (66.790) Prec@5 87.500 (85.858) Epoch: [63][6930/10010] Time 0.334 (0.327) Data 0.000 (0.001) Loss 1.5486 (1.4381) Prec@1 67.188 (66.787) Prec@5 82.812 (85.855) Epoch: [63][6940/10010] Time 0.321 (0.327) Data 0.000 (0.001) Loss 1.2388 (1.4380) Prec@1 74.219 (66.788) Prec@5 89.062 (85.856) Epoch: [63][6950/10010] Time 0.322 (0.327) Data 0.000 (0.001) Loss 1.2472 (1.4379) Prec@1 70.312 (66.791) Prec@5 88.281 (85.857) Epoch: [63][6960/10010] Time 0.334 (0.327) Data 0.000 (0.001) Loss 1.6624 (1.4380) Prec@1 61.719 (66.787) Prec@5 80.469 (85.857) Epoch: [63][6970/10010] Time 0.338 (0.327) Data 0.001 (0.001) Loss 1.3752 (1.4380) Prec@1 69.531 (66.787) Prec@5 88.281 (85.857) Epoch: [63][6980/10010] Time 0.326 (0.327) Data 0.000 (0.001) Loss 1.2991 (1.4379) Prec@1 74.219 (66.788) Prec@5 85.156 (85.858) Epoch: [63][6990/10010] Time 0.334 (0.328) Data 0.000 (0.001) Loss 1.3346 (1.4379) Prec@1 71.094 (66.789) Prec@5 88.281 (85.858) Epoch: [63][7000/10010] Time 0.329 (0.328) Data 0.001 (0.001) Loss 1.4430 (1.4379) Prec@1 61.719 (66.790) Prec@5 86.719 (85.856) Epoch: [63][7010/10010] Time 0.332 (0.328) Data 0.001 (0.001) Loss 1.4117 (1.4379) Prec@1 68.750 (66.793) Prec@5 85.938 (85.856) Epoch: [63][7020/10010] Time 0.318 (0.328) Data 0.000 (0.001) Loss 1.7095 (1.4380) Prec@1 65.625 (66.790) Prec@5 79.688 (85.854) Epoch: [63][7030/10010] Time 0.342 (0.328) Data 0.001 (0.001) Loss 1.4593 (1.4380) Prec@1 63.281 (66.789) Prec@5 85.938 (85.853) Epoch: [63][7040/10010] Time 0.322 (0.328) Data 0.001 (0.001) Loss 1.5947 (1.4380) Prec@1 65.625 (66.790) Prec@5 84.375 (85.853) Epoch: [63][7050/10010] Time 0.338 (0.328) Data 0.000 (0.001) Loss 1.3150 (1.4378) Prec@1 69.531 (66.794) Prec@5 88.281 (85.855) Epoch: [63][7060/10010] Time 0.322 (0.328) Data 0.001 (0.001) Loss 1.5756 (1.4378) Prec@1 62.500 (66.797) Prec@5 82.812 (85.856) Epoch: [63][7070/10010] Time 0.336 (0.328) Data 0.001 (0.001) Loss 1.6015 (1.4377) Prec@1 62.500 (66.797) Prec@5 83.594 (85.856) Epoch: [63][7080/10010] Time 0.314 (0.328) Data 0.000 (0.001) Loss 1.4387 (1.4378) Prec@1 62.500 (66.795) Prec@5 84.375 (85.855) Epoch: [63][7090/10010] Time 0.326 (0.327) Data 0.001 (0.001) Loss 1.6165 (1.4378) Prec@1 64.844 (66.796) Prec@5 83.594 (85.854) Epoch: [63][7100/10010] Time 0.321 (0.327) Data 0.001 (0.001) Loss 1.4609 (1.4378) Prec@1 64.844 (66.795) Prec@5 83.594 (85.853) Epoch: [63][7110/10010] Time 0.322 (0.327) Data 0.001 (0.001) Loss 1.5607 (1.4379) Prec@1 66.406 (66.793) Prec@5 82.031 (85.851) Epoch: [63][7120/10010] Time 0.323 (0.327) Data 0.001 (0.001) Loss 1.3651 (1.4378) Prec@1 67.188 (66.797) Prec@5 85.938 (85.852) Epoch: [63][7130/10010] Time 0.317 (0.327) Data 0.001 (0.001) Loss 1.2606 (1.4378) Prec@1 67.188 (66.796) Prec@5 86.719 (85.852) Epoch: [63][7140/10010] Time 0.325 (0.327) Data 0.000 (0.001) Loss 1.4011 (1.4377) Prec@1 69.531 (66.797) Prec@5 84.375 (85.852) Epoch: [63][7150/10010] Time 0.320 (0.327) Data 0.001 (0.001) Loss 1.3880 (1.4378) Prec@1 67.969 (66.796) Prec@5 85.156 (85.850) Epoch: [63][7160/10010] Time 0.319 (0.327) Data 0.001 (0.001) Loss 1.3518 (1.4379) Prec@1 68.750 (66.796) Prec@5 89.062 (85.848) Epoch: [63][7170/10010] Time 0.317 (0.327) Data 0.001 (0.001) Loss 1.6701 (1.4381) Prec@1 57.812 (66.794) Prec@5 82.031 (85.846) Epoch: [63][7180/10010] Time 0.313 (0.327) Data 0.001 (0.001) Loss 1.5573 (1.4382) Prec@1 63.281 (66.792) Prec@5 82.031 (85.843) Epoch: [63][7190/10010] Time 0.331 (0.327) Data 0.001 (0.001) Loss 1.2721 (1.4382) Prec@1 71.875 (66.788) Prec@5 86.719 (85.843) Epoch: [63][7200/10010] Time 0.332 (0.327) Data 0.001 (0.001) Loss 1.5054 (1.4382) Prec@1 60.938 (66.788) Prec@5 86.719 (85.843) Epoch: [63][7210/10010] Time 0.311 (0.327) Data 0.001 (0.001) Loss 1.4795 (1.4384) Prec@1 65.625 (66.786) Prec@5 85.156 (85.839) Epoch: [63][7220/10010] Time 0.336 (0.327) Data 0.001 (0.001) Loss 1.4490 (1.4383) Prec@1 66.406 (66.787) Prec@5 85.156 (85.840) Epoch: [63][7230/10010] Time 0.322 (0.327) Data 0.001 (0.001) Loss 1.3067 (1.4383) Prec@1 65.625 (66.787) Prec@5 85.938 (85.839) Epoch: [63][7240/10010] Time 0.318 (0.327) Data 0.001 (0.001) Loss 1.2605 (1.4383) Prec@1 72.656 (66.786) Prec@5 86.719 (85.840) Epoch: [63][7250/10010] Time 0.326 (0.327) Data 0.001 (0.001) Loss 1.6906 (1.4384) Prec@1 60.938 (66.784) Prec@5 82.812 (85.838) Epoch: [63][7260/10010] Time 0.315 (0.327) Data 0.000 (0.001) Loss 1.7343 (1.4385) Prec@1 62.500 (66.781) Prec@5 82.812 (85.837) Epoch: [63][7270/10010] Time 0.333 (0.327) Data 0.001 (0.001) Loss 1.4224 (1.4385) Prec@1 70.312 (66.783) Prec@5 85.938 (85.838) Epoch: [63][7280/10010] Time 0.329 (0.327) Data 0.001 (0.001) Loss 1.4017 (1.4384) Prec@1 67.188 (66.783) Prec@5 85.156 (85.838) Epoch: [63][7290/10010] Time 0.332 (0.327) Data 0.001 (0.001) Loss 1.5533 (1.4385) Prec@1 65.625 (66.783) Prec@5 85.156 (85.837) Epoch: [63][7300/10010] Time 0.328 (0.327) Data 0.001 (0.001) Loss 1.6014 (1.4386) Prec@1 64.844 (66.782) Prec@5 84.375 (85.835) Epoch: [63][7310/10010] Time 0.336 (0.327) Data 0.000 (0.001) Loss 1.6062 (1.4387) Prec@1 64.844 (66.783) Prec@5 84.375 (85.834) Epoch: [63][7320/10010] Time 0.318 (0.327) Data 0.001 (0.001) Loss 1.3660 (1.4386) Prec@1 64.844 (66.783) Prec@5 85.938 (85.834) Epoch: [63][7330/10010] Time 0.320 (0.327) Data 0.001 (0.001) Loss 1.3083 (1.4388) Prec@1 68.750 (66.778) Prec@5 89.062 (85.833) Epoch: [63][7340/10010] Time 0.337 (0.327) Data 0.001 (0.001) Loss 1.7292 (1.4389) Prec@1 60.156 (66.776) Prec@5 81.250 (85.831) Epoch: [63][7350/10010] Time 0.342 (0.327) Data 0.001 (0.001) Loss 1.6439 (1.4389) Prec@1 58.594 (66.777) Prec@5 79.688 (85.830) Epoch: [63][7360/10010] Time 0.321 (0.327) Data 0.001 (0.001) Loss 1.4823 (1.4389) Prec@1 61.719 (66.778) Prec@5 85.938 (85.831) Epoch: [63][7370/10010] Time 0.331 (0.327) Data 0.001 (0.001) Loss 1.5705 (1.4390) Prec@1 65.625 (66.777) Prec@5 85.156 (85.830) Epoch: [63][7380/10010] Time 0.324 (0.327) Data 0.000 (0.001) Loss 1.7082 (1.4391) Prec@1 66.406 (66.773) Prec@5 84.375 (85.829) Epoch: [63][7390/10010] Time 0.333 (0.327) Data 0.001 (0.001) Loss 1.8495 (1.4392) Prec@1 55.469 (66.772) Prec@5 81.250 (85.829) Epoch: [63][7400/10010] Time 0.338 (0.327) Data 0.001 (0.001) Loss 1.4316 (1.4392) Prec@1 65.625 (66.771) Prec@5 89.062 (85.830) Epoch: [63][7410/10010] Time 0.335 (0.327) Data 0.001 (0.001) Loss 1.3724 (1.4392) Prec@1 68.750 (66.772) Prec@5 89.062 (85.829) Epoch: [63][7420/10010] Time 0.328 (0.327) Data 0.000 (0.001) Loss 1.6319 (1.4394) Prec@1 67.188 (66.771) Prec@5 82.812 (85.828) Epoch: [63][7430/10010] Time 0.332 (0.327) Data 0.001 (0.001) Loss 1.5293 (1.4394) Prec@1 60.938 (66.769) Prec@5 82.812 (85.827) Epoch: [63][7440/10010] Time 0.339 (0.327) Data 0.000 (0.001) Loss 1.5183 (1.4394) Prec@1 64.062 (66.768) Prec@5 88.281 (85.827) Epoch: [63][7450/10010] Time 0.334 (0.327) Data 0.001 (0.001) Loss 1.3710 (1.4393) Prec@1 67.188 (66.770) Prec@5 86.719 (85.828) Epoch: [63][7460/10010] Time 0.329 (0.327) Data 0.001 (0.001) Loss 1.4217 (1.4393) Prec@1 67.969 (66.768) Prec@5 86.719 (85.829) Epoch: [63][7470/10010] Time 0.321 (0.327) Data 0.001 (0.001) Loss 1.4502 (1.4393) Prec@1 69.531 (66.768) Prec@5 87.500 (85.828) Epoch: [63][7480/10010] Time 0.335 (0.327) Data 0.001 (0.001) Loss 1.2375 (1.4393) Prec@1 75.000 (66.768) Prec@5 85.938 (85.828) Epoch: [63][7490/10010] Time 0.331 (0.327) Data 0.000 (0.001) Loss 1.4598 (1.4394) Prec@1 63.281 (66.767) Prec@5 84.375 (85.827) Epoch: [63][7500/10010] Time 0.335 (0.327) Data 0.001 (0.001) Loss 1.3153 (1.4394) Prec@1 72.656 (66.766) Prec@5 85.938 (85.826) Epoch: [63][7510/10010] Time 0.312 (0.327) Data 0.001 (0.001) Loss 1.3130 (1.4394) Prec@1 67.188 (66.764) Prec@5 88.281 (85.828) Epoch: [63][7520/10010] Time 0.333 (0.327) Data 0.001 (0.001) Loss 1.3243 (1.4394) Prec@1 66.406 (66.763) Prec@5 89.844 (85.830) Epoch: [63][7530/10010] Time 0.335 (0.327) Data 0.001 (0.001) Loss 1.4645 (1.4393) Prec@1 67.188 (66.764) Prec@5 85.938 (85.833) Epoch: [63][7540/10010] Time 0.325 (0.327) Data 0.001 (0.001) Loss 1.6332 (1.4392) Prec@1 59.375 (66.766) Prec@5 82.812 (85.835) Epoch: [63][7550/10010] Time 0.326 (0.327) Data 0.000 (0.001) Loss 1.3563 (1.4393) Prec@1 66.406 (66.764) Prec@5 84.375 (85.833) Epoch: [63][7560/10010] Time 0.338 (0.327) Data 0.000 (0.001) Loss 1.6248 (1.4393) Prec@1 61.719 (66.762) Prec@5 80.469 (85.831) Epoch: [63][7570/10010] Time 0.323 (0.327) Data 0.001 (0.001) Loss 1.3405 (1.4393) Prec@1 68.750 (66.764) Prec@5 87.500 (85.832) Epoch: [63][7580/10010] Time 0.319 (0.327) Data 0.001 (0.001) Loss 1.5426 (1.4393) Prec@1 64.062 (66.763) Prec@5 85.156 (85.832) Epoch: [63][7590/10010] Time 0.325 (0.327) Data 0.001 (0.001) Loss 1.1587 (1.4392) Prec@1 67.188 (66.764) Prec@5 91.406 (85.833) Epoch: [63][7600/10010] Time 0.316 (0.327) Data 0.000 (0.001) Loss 1.4461 (1.4392) Prec@1 69.531 (66.765) Prec@5 86.719 (85.833) Epoch: [63][7610/10010] Time 0.332 (0.327) Data 0.001 (0.001) Loss 1.5399 (1.4391) Prec@1 65.625 (66.766) Prec@5 83.594 (85.834) Epoch: [63][7620/10010] Time 0.317 (0.327) Data 0.001 (0.001) Loss 1.7587 (1.4391) Prec@1 59.375 (66.766) Prec@5 80.469 (85.835) Epoch: [63][7630/10010] Time 0.331 (0.327) Data 0.001 (0.001) Loss 1.4704 (1.4392) Prec@1 65.625 (66.765) Prec@5 84.375 (85.834) Epoch: [63][7640/10010] Time 0.333 (0.327) Data 0.000 (0.001) Loss 1.4443 (1.4392) Prec@1 64.062 (66.764) Prec@5 87.500 (85.834) Epoch: [63][7650/10010] Time 0.319 (0.327) Data 0.000 (0.001) Loss 1.3429 (1.4393) Prec@1 72.656 (66.763) Prec@5 85.938 (85.833) Epoch: [63][7660/10010] Time 0.319 (0.327) Data 0.000 (0.001) Loss 1.3931 (1.4394) Prec@1 69.531 (66.762) Prec@5 83.594 (85.832) Epoch: [63][7670/10010] Time 0.336 (0.327) Data 0.001 (0.001) Loss 1.3466 (1.4393) Prec@1 67.188 (66.765) Prec@5 85.938 (85.832) Epoch: [63][7680/10010] Time 0.323 (0.327) Data 0.000 (0.001) Loss 1.4031 (1.4394) Prec@1 64.062 (66.765) Prec@5 87.500 (85.831) Epoch: [63][7690/10010] Time 0.319 (0.328) Data 0.001 (0.001) Loss 1.5655 (1.4393) Prec@1 63.281 (66.768) Prec@5 85.156 (85.833) Epoch: [63][7700/10010] Time 0.318 (0.328) Data 0.001 (0.001) Loss 1.5303 (1.4393) Prec@1 64.844 (66.768) Prec@5 84.375 (85.833) Epoch: [63][7710/10010] Time 0.322 (0.328) Data 0.000 (0.001) Loss 1.3833 (1.4393) Prec@1 66.406 (66.766) Prec@5 85.938 (85.834) Epoch: [63][7720/10010] Time 0.319 (0.328) Data 0.001 (0.001) Loss 1.3649 (1.4394) Prec@1 74.219 (66.766) Prec@5 84.375 (85.832) Epoch: [63][7730/10010] Time 0.314 (0.328) Data 0.001 (0.001) Loss 1.4189 (1.4393) Prec@1 66.406 (66.766) Prec@5 89.062 (85.832) Epoch: [63][7740/10010] Time 0.338 (0.328) Data 0.000 (0.001) Loss 1.3161 (1.4393) Prec@1 64.844 (66.766) Prec@5 88.281 (85.834) Epoch: [63][7750/10010] Time 0.311 (0.328) Data 0.001 (0.001) Loss 1.3945 (1.4392) Prec@1 65.625 (66.767) Prec@5 89.062 (85.836) Epoch: [63][7760/10010] Time 0.320 (0.328) Data 0.001 (0.001) Loss 1.6268 (1.4393) Prec@1 64.844 (66.764) Prec@5 82.031 (85.834) Epoch: [63][7770/10010] Time 0.334 (0.328) Data 0.001 (0.001) Loss 1.3892 (1.4394) Prec@1 69.531 (66.761) Prec@5 88.281 (85.833) Epoch: [63][7780/10010] Time 0.335 (0.328) Data 0.000 (0.001) Loss 1.4404 (1.4395) Prec@1 67.969 (66.761) Prec@5 83.594 (85.833) Epoch: [63][7790/10010] Time 0.326 (0.328) Data 0.001 (0.001) Loss 1.2042 (1.4394) Prec@1 69.531 (66.763) Prec@5 89.844 (85.833) Epoch: [63][7800/10010] Time 0.329 (0.328) Data 0.001 (0.001) Loss 1.1928 (1.4394) Prec@1 68.750 (66.762) Prec@5 90.625 (85.833) Epoch: [63][7810/10010] Time 0.311 (0.328) Data 0.001 (0.001) Loss 0.9552 (1.4393) Prec@1 76.562 (66.765) Prec@5 94.531 (85.835) Epoch: [63][7820/10010] Time 0.334 (0.328) Data 0.001 (0.001) Loss 1.3585 (1.4392) Prec@1 63.281 (66.766) Prec@5 87.500 (85.837) Epoch: [63][7830/10010] Time 0.336 (0.328) Data 0.001 (0.001) Loss 1.5801 (1.4391) Prec@1 63.281 (66.767) Prec@5 83.594 (85.838) Epoch: [63][7840/10010] Time 0.319 (0.328) Data 0.001 (0.001) Loss 1.6212 (1.4391) Prec@1 64.062 (66.768) Prec@5 83.594 (85.839) Epoch: [63][7850/10010] Time 0.336 (0.328) Data 0.001 (0.001) Loss 1.8277 (1.4392) Prec@1 56.250 (66.764) Prec@5 80.469 (85.837) Epoch: [63][7860/10010] Time 0.315 (0.328) Data 0.001 (0.001) Loss 1.4974 (1.4392) Prec@1 69.531 (66.764) Prec@5 87.500 (85.838) Epoch: [63][7870/10010] Time 0.319 (0.328) Data 0.000 (0.001) Loss 1.2939 (1.4393) Prec@1 69.531 (66.764) Prec@5 84.375 (85.836) Epoch: [63][7880/10010] Time 0.338 (0.328) Data 0.001 (0.001) Loss 1.2856 (1.4393) Prec@1 71.875 (66.762) Prec@5 89.062 (85.836) Epoch: [63][7890/10010] Time 0.324 (0.328) Data 0.001 (0.001) Loss 1.6726 (1.4392) Prec@1 61.719 (66.763) Prec@5 82.812 (85.838) Epoch: [63][7900/10010] Time 0.326 (0.328) Data 0.001 (0.001) Loss 1.6068 (1.4392) Prec@1 63.281 (66.761) Prec@5 82.812 (85.839) Epoch: [63][7910/10010] Time 0.332 (0.328) Data 0.001 (0.001) Loss 1.1918 (1.4392) Prec@1 69.531 (66.762) Prec@5 89.062 (85.840) Epoch: [63][7920/10010] Time 0.339 (0.328) Data 0.001 (0.001) Loss 1.2783 (1.4392) Prec@1 69.531 (66.762) Prec@5 89.062 (85.841) Epoch: [63][7930/10010] Time 0.321 (0.328) Data 0.001 (0.001) Loss 1.5296 (1.4391) Prec@1 64.844 (66.761) Prec@5 89.062 (85.842) Epoch: [63][7940/10010] Time 0.331 (0.328) Data 0.001 (0.001) Loss 1.2658 (1.4390) Prec@1 70.312 (66.765) Prec@5 86.719 (85.845) Epoch: [63][7950/10010] Time 0.323 (0.328) Data 0.001 (0.001) Loss 1.4121 (1.4390) Prec@1 64.844 (66.766) Prec@5 84.375 (85.844) Epoch: [63][7960/10010] Time 0.329 (0.328) Data 0.001 (0.001) Loss 1.2668 (1.4391) Prec@1 71.875 (66.763) Prec@5 87.500 (85.842) Epoch: [63][7970/10010] Time 0.320 (0.328) Data 0.000 (0.001) Loss 1.1894 (1.4390) Prec@1 76.562 (66.763) Prec@5 90.625 (85.843) Epoch: [63][7980/10010] Time 0.315 (0.328) Data 0.001 (0.001) Loss 1.3059 (1.4391) Prec@1 66.406 (66.760) Prec@5 87.500 (85.841) Epoch: [63][7990/10010] Time 0.323 (0.328) Data 0.000 (0.001) Loss 1.4776 (1.4391) Prec@1 61.719 (66.758) Prec@5 85.938 (85.841) Epoch: [63][8000/10010] Time 0.323 (0.328) Data 0.001 (0.001) Loss 1.5799 (1.4391) Prec@1 60.938 (66.756) Prec@5 85.938 (85.841) Epoch: [63][8010/10010] Time 0.312 (0.328) Data 0.001 (0.001) Loss 1.3485 (1.4391) Prec@1 69.531 (66.759) Prec@5 86.719 (85.841) Epoch: [63][8020/10010] Time 0.314 (0.328) Data 0.001 (0.001) Loss 1.6260 (1.4391) Prec@1 60.938 (66.756) Prec@5 81.250 (85.840) Epoch: [63][8030/10010] Time 0.316 (0.328) Data 0.001 (0.001) Loss 1.8349 (1.4391) Prec@1 57.812 (66.756) Prec@5 79.688 (85.841) Epoch: [63][8040/10010] Time 0.317 (0.328) Data 0.001 (0.001) Loss 1.5163 (1.4392) Prec@1 68.750 (66.754) Prec@5 86.719 (85.840) Epoch: [63][8050/10010] Time 0.336 (0.328) Data 0.001 (0.001) Loss 1.8365 (1.4392) Prec@1 64.062 (66.754) Prec@5 80.469 (85.840) Epoch: [63][8060/10010] Time 0.324 (0.328) Data 0.000 (0.001) Loss 1.3225 (1.4392) Prec@1 70.312 (66.754) Prec@5 87.500 (85.839) Epoch: [63][8070/10010] Time 0.317 (0.328) Data 0.001 (0.001) Loss 1.3565 (1.4392) Prec@1 67.969 (66.754) Prec@5 87.500 (85.839) Epoch: [63][8080/10010] Time 0.325 (0.328) Data 0.001 (0.001) Loss 1.2366 (1.4391) Prec@1 66.406 (66.755) Prec@5 87.500 (85.839) Epoch: [63][8090/10010] Time 0.335 (0.328) Data 0.001 (0.001) Loss 1.2513 (1.4392) Prec@1 71.094 (66.756) Prec@5 90.625 (85.839) Epoch: [63][8100/10010] Time 0.330 (0.328) Data 0.001 (0.001) Loss 1.8689 (1.4392) Prec@1 61.719 (66.756) Prec@5 77.344 (85.839) Epoch: [63][8110/10010] Time 0.341 (0.328) Data 0.001 (0.001) Loss 1.8169 (1.4392) Prec@1 57.812 (66.755) Prec@5 82.031 (85.838) Epoch: [63][8120/10010] Time 0.317 (0.328) Data 0.001 (0.001) Loss 1.3282 (1.4392) Prec@1 69.531 (66.754) Prec@5 87.500 (85.838) Epoch: [63][8130/10010] Time 0.324 (0.328) Data 0.001 (0.001) Loss 1.7371 (1.4392) Prec@1 64.844 (66.754) Prec@5 81.250 (85.840) Epoch: [63][8140/10010] Time 0.316 (0.328) Data 0.001 (0.001) Loss 1.6542 (1.4392) Prec@1 65.625 (66.752) Prec@5 82.031 (85.840) Epoch: [63][8150/10010] Time 0.320 (0.328) Data 0.001 (0.001) Loss 1.4021 (1.4393) Prec@1 69.531 (66.751) Prec@5 88.281 (85.840) Epoch: [63][8160/10010] Time 0.335 (0.328) Data 0.001 (0.001) Loss 1.3542 (1.4392) Prec@1 64.062 (66.753) Prec@5 90.625 (85.840) Epoch: [63][8170/10010] Time 0.315 (0.328) Data 0.000 (0.001) Loss 1.6228 (1.4393) Prec@1 67.188 (66.752) Prec@5 85.156 (85.841) Epoch: [63][8180/10010] Time 0.340 (0.328) Data 0.001 (0.001) Loss 1.3894 (1.4393) Prec@1 65.625 (66.752) Prec@5 84.375 (85.840) Epoch: [63][8190/10010] Time 0.321 (0.328) Data 0.000 (0.001) Loss 1.4152 (1.4393) Prec@1 64.062 (66.749) Prec@5 89.844 (85.841) Epoch: [63][8200/10010] Time 0.318 (0.328) Data 0.000 (0.001) Loss 1.3535 (1.4393) Prec@1 66.406 (66.750) Prec@5 88.281 (85.841) Epoch: [63][8210/10010] Time 0.338 (0.328) Data 0.000 (0.001) Loss 1.6381 (1.4392) Prec@1 57.031 (66.749) Prec@5 82.031 (85.842) Epoch: [63][8220/10010] Time 0.332 (0.328) Data 0.001 (0.001) Loss 1.5905 (1.4392) Prec@1 66.406 (66.750) Prec@5 82.812 (85.842) Epoch: [63][8230/10010] Time 0.329 (0.328) Data 0.001 (0.001) Loss 1.2109 (1.4392) Prec@1 69.531 (66.750) Prec@5 89.062 (85.842) Epoch: [63][8240/10010] Time 0.328 (0.328) Data 0.001 (0.001) Loss 1.2013 (1.4391) Prec@1 72.656 (66.750) Prec@5 89.062 (85.842) Epoch: [63][8250/10010] Time 0.325 (0.328) Data 0.001 (0.001) Loss 1.5559 (1.4391) Prec@1 61.719 (66.751) Prec@5 82.812 (85.842) Epoch: [63][8260/10010] Time 0.324 (0.328) Data 0.001 (0.001) Loss 1.3124 (1.4391) Prec@1 67.969 (66.754) Prec@5 86.719 (85.842) Epoch: [63][8270/10010] Time 0.320 (0.328) Data 0.001 (0.001) Loss 1.6460 (1.4391) Prec@1 58.594 (66.754) Prec@5 81.250 (85.840) Epoch: [63][8280/10010] Time 0.319 (0.328) Data 0.001 (0.001) Loss 1.3615 (1.4392) Prec@1 67.188 (66.754) Prec@5 84.375 (85.840) Epoch: [63][8290/10010] Time 0.322 (0.328) Data 0.001 (0.001) Loss 1.6836 (1.4391) Prec@1 57.812 (66.751) Prec@5 82.031 (85.840) Epoch: [63][8300/10010] Time 0.335 (0.328) Data 0.001 (0.001) Loss 1.5216 (1.4391) Prec@1 61.719 (66.749) Prec@5 85.156 (85.841) Epoch: [63][8310/10010] Time 0.341 (0.328) Data 0.001 (0.001) Loss 1.2238 (1.4391) Prec@1 71.094 (66.749) Prec@5 89.062 (85.841) Epoch: [63][8320/10010] Time 0.322 (0.328) Data 0.000 (0.001) Loss 1.5074 (1.4392) Prec@1 65.625 (66.750) Prec@5 83.594 (85.840) Epoch: [63][8330/10010] Time 0.324 (0.328) Data 0.001 (0.001) Loss 1.3145 (1.4392) Prec@1 67.969 (66.748) Prec@5 88.281 (85.840) Epoch: [63][8340/10010] Time 0.329 (0.328) Data 0.001 (0.001) Loss 1.4741 (1.4391) Prec@1 67.188 (66.748) Prec@5 83.594 (85.841) /data/vision/torralba/deepscene/lib/anaconda2/lib/python2.7/site-packages/PIL/TiffImagePlugin.py:692: UserWarning: Possibly corrupt EXIF data. Expecting to read 2555904 bytes but only got 0. Skipping tag 0 "Skipping tag %s" % (size, len(data), tag)) Epoch: [63][8350/10010] Time 0.313 (0.328) Data 0.001 (0.001) Loss 1.4533 (1.4391) Prec@1 64.844 (66.748) Prec@5 85.938 (85.841) Epoch: [63][8360/10010] Time 0.311 (0.328) Data 0.001 (0.001) Loss 1.4097 (1.4391) Prec@1 67.188 (66.749) Prec@5 86.719 (85.843) Epoch: [63][8370/10010] Time 0.327 (0.328) Data 0.001 (0.001) Loss 1.7758 (1.4391) Prec@1 58.594 (66.750) Prec@5 78.906 (85.843) Epoch: [63][8380/10010] Time 0.342 (0.328) Data 0.001 (0.001) Loss 1.1915 (1.4390) Prec@1 75.781 (66.750) Prec@5 90.625 (85.842) Epoch: [63][8390/10010] Time 0.333 (0.328) Data 0.000 (0.001) Loss 1.0988 (1.4390) Prec@1 71.875 (66.752) Prec@5 89.844 (85.842) Epoch: [63][8400/10010] Time 0.340 (0.328) Data 0.000 (0.001) Loss 1.4182 (1.4390) Prec@1 72.656 (66.751) Prec@5 84.375 (85.840) Epoch: [63][8410/10010] Time 0.318 (0.328) Data 0.001 (0.001) Loss 1.4444 (1.4390) Prec@1 67.188 (66.751) Prec@5 84.375 (85.839) Epoch: [63][8420/10010] Time 0.313 (0.328) Data 0.000 (0.001) Loss 1.3573 (1.4391) Prec@1 65.625 (66.750) Prec@5 86.719 (85.838) Epoch: [63][8430/10010] Time 0.327 (0.328) Data 0.000 (0.001) Loss 1.5901 (1.4391) Prec@1 67.969 (66.749) Prec@5 82.812 (85.837) Epoch: [63][8440/10010] Time 0.334 (0.328) Data 0.001 (0.001) Loss 1.1727 (1.4391) Prec@1 73.438 (66.749) Prec@5 89.844 (85.836) Epoch: [63][8450/10010] Time 0.309 (0.328) Data 0.000 (0.001) Loss 1.3150 (1.4390) Prec@1 72.656 (66.751) Prec@5 88.281 (85.837) Epoch: [63][8460/10010] Time 0.325 (0.328) Data 0.000 (0.001) Loss 1.5062 (1.4390) Prec@1 64.062 (66.751) Prec@5 86.719 (85.838) Epoch: [63][8470/10010] Time 0.318 (0.328) Data 0.001 (0.001) Loss 1.4072 (1.4390) Prec@1 67.188 (66.751) Prec@5 87.500 (85.837) Epoch: [63][8480/10010] Time 0.319 (0.328) Data 0.001 (0.001) Loss 1.2806 (1.4390) Prec@1 66.406 (66.752) Prec@5 89.062 (85.837) Epoch: [63][8490/10010] Time 0.323 (0.328) Data 0.001 (0.001) Loss 1.4751 (1.4391) Prec@1 65.625 (66.750) Prec@5 85.156 (85.836) /data/vision/torralba/deepscene/lib/anaconda2/lib/python2.7/site-packages/PIL/TiffImagePlugin.py:692: UserWarning: Possibly corrupt EXIF data. Expecting to read 2555904 bytes but only got 0. Skipping tag 0 "Skipping tag %s" % (size, len(data), tag)) Epoch: [63][8500/10010] Time 0.333 (0.328) Data 0.001 (0.001) Loss 1.7143 (1.4392) Prec@1 61.719 (66.749) Prec@5 79.688 (85.832) Epoch: [63][8510/10010] Time 0.341 (0.328) Data 0.001 (0.001) Loss 1.3386 (1.4391) Prec@1 67.969 (66.750) Prec@5 87.500 (85.835) Epoch: [63][8520/10010] Time 0.325 (0.328) Data 0.000 (0.001) Loss 1.7145 (1.4392) Prec@1 58.594 (66.749) Prec@5 78.906 (85.832) Epoch: [63][8530/10010] Time 0.330 (0.328) Data 0.000 (0.001) Loss 1.6495 (1.4392) Prec@1 58.594 (66.747) Prec@5 85.156 (85.832) Epoch: [63][8540/10010] Time 0.308 (0.328) Data 0.001 (0.001) Loss 1.1975 (1.4393) Prec@1 71.094 (66.746) Prec@5 89.844 (85.830) Epoch: [63][8550/10010] Time 0.324 (0.328) Data 0.001 (0.001) Loss 1.0038 (1.4393) Prec@1 76.562 (66.748) Prec@5 92.969 (85.830) Epoch: [63][8560/10010] Time 0.321 (0.328) Data 0.001 (0.001) Loss 1.7168 (1.4394) Prec@1 63.281 (66.747) Prec@5 82.812 (85.830) Epoch: [63][8570/10010] Time 0.337 (0.328) Data 0.000 (0.001) Loss 1.4528 (1.4394) Prec@1 69.531 (66.746) Prec@5 89.062 (85.829) Epoch: [63][8580/10010] Time 0.314 (0.328) Data 0.001 (0.001) Loss 1.4290 (1.4394) Prec@1 71.875 (66.745) Prec@5 88.281 (85.831) Epoch: [63][8590/10010] Time 0.335 (0.328) Data 0.001 (0.001) Loss 1.4979 (1.4393) Prec@1 67.188 (66.746) Prec@5 83.594 (85.832) Epoch: [63][8600/10010] Time 0.317 (0.328) Data 0.001 (0.001) Loss 1.3762 (1.4394) Prec@1 65.625 (66.746) Prec@5 86.719 (85.831) Epoch: [63][8610/10010] Time 0.333 (0.328) Data 0.001 (0.001) Loss 1.3889 (1.4394) Prec@1 70.312 (66.746) Prec@5 88.281 (85.833) Epoch: [63][8620/10010] Time 0.338 (0.328) Data 0.001 (0.001) Loss 1.7099 (1.4394) Prec@1 63.281 (66.745) Prec@5 82.031 (85.833) Epoch: [63][8630/10010] Time 0.330 (0.328) Data 0.001 (0.001) Loss 1.5440 (1.4394) Prec@1 69.531 (66.745) Prec@5 85.938 (85.833) Epoch: [63][8640/10010] Time 0.323 (0.328) Data 0.001 (0.001) Loss 1.4591 (1.4394) Prec@1 61.719 (66.747) Prec@5 85.938 (85.834) Epoch: [63][8650/10010] Time 0.328 (0.328) Data 0.001 (0.001) Loss 1.4123 (1.4393) Prec@1 66.406 (66.747) Prec@5 84.375 (85.835) Epoch: [63][8660/10010] Time 0.311 (0.328) Data 0.000 (0.001) Loss 1.2589 (1.4394) Prec@1 71.875 (66.746) Prec@5 88.281 (85.835) Epoch: [63][8670/10010] Time 0.327 (0.328) Data 0.001 (0.001) Loss 1.6127 (1.4394) Prec@1 60.938 (66.747) Prec@5 84.375 (85.836) Epoch: [63][8680/10010] Time 0.328 (0.328) Data 0.001 (0.001) Loss 1.3174 (1.4394) Prec@1 66.406 (66.745) Prec@5 87.500 (85.835) Epoch: [63][8690/10010] Time 0.340 (0.328) Data 0.001 (0.001) Loss 1.4060 (1.4394) Prec@1 68.750 (66.744) Prec@5 87.500 (85.834) Epoch: [63][8700/10010] Time 0.327 (0.328) Data 0.001 (0.001) Loss 1.2665 (1.4393) Prec@1 64.062 (66.745) Prec@5 85.156 (85.836) Epoch: [63][8710/10010] Time 0.322 (0.328) Data 0.000 (0.001) Loss 1.4438 (1.4392) Prec@1 70.312 (66.747) Prec@5 82.812 (85.836) Epoch: [63][8720/10010] Time 0.343 (0.328) Data 0.001 (0.001) Loss 1.5784 (1.4391) Prec@1 60.938 (66.750) Prec@5 84.375 (85.837) Epoch: [63][8730/10010] Time 0.325 (0.328) Data 0.000 (0.001) Loss 1.1878 (1.4391) Prec@1 67.969 (66.750) Prec@5 91.406 (85.837) Epoch: [63][8740/10010] Time 0.331 (0.328) Data 0.001 (0.001) Loss 1.2746 (1.4390) Prec@1 67.188 (66.752) Prec@5 85.938 (85.839) Epoch: [63][8750/10010] Time 0.319 (0.328) Data 0.001 (0.001) Loss 1.3211 (1.4390) Prec@1 69.531 (66.752) Prec@5 91.406 (85.841) Epoch: [63][8760/10010] Time 0.312 (0.328) Data 0.001 (0.001) Loss 1.4098 (1.4391) Prec@1 67.188 (66.752) Prec@5 85.938 (85.839) Epoch: [63][8770/10010] Time 0.338 (0.328) Data 0.001 (0.001) Loss 1.3199 (1.4391) Prec@1 65.625 (66.752) Prec@5 87.500 (85.839) Epoch: [63][8780/10010] Time 0.316 (0.328) Data 0.001 (0.001) Loss 1.6999 (1.4391) Prec@1 60.938 (66.752) Prec@5 83.594 (85.840) Epoch: [63][8790/10010] Time 0.324 (0.328) Data 0.001 (0.001) Loss 1.1927 (1.4391) Prec@1 70.312 (66.752) Prec@5 85.938 (85.840) Epoch: [63][8800/10010] Time 0.332 (0.328) Data 0.001 (0.001) Loss 1.2896 (1.4390) Prec@1 71.875 (66.752) Prec@5 87.500 (85.841) Epoch: [63][8810/10010] Time 0.316 (0.328) Data 0.001 (0.001) Loss 1.5029 (1.4389) Prec@1 68.750 (66.755) Prec@5 85.938 (85.842) Epoch: [63][8820/10010] Time 0.324 (0.328) Data 0.001 (0.001) Loss 1.6560 (1.4389) Prec@1 64.844 (66.754) Prec@5 82.812 (85.842) Epoch: [63][8830/10010] Time 0.335 (0.328) Data 0.000 (0.001) Loss 1.2958 (1.4389) Prec@1 67.188 (66.755) Prec@5 89.062 (85.842) Epoch: [63][8840/10010] Time 0.337 (0.328) Data 0.001 (0.001) Loss 1.6146 (1.4390) Prec@1 64.844 (66.751) Prec@5 83.594 (85.842) Epoch: [63][8850/10010] Time 0.332 (0.328) Data 0.001 (0.001) Loss 1.7032 (1.4390) Prec@1 59.375 (66.749) Prec@5 82.812 (85.841) Epoch: [63][8860/10010] Time 0.324 (0.328) Data 0.001 (0.001) Loss 1.6449 (1.4391) Prec@1 57.812 (66.747) Prec@5 87.500 (85.842) Epoch: [63][8870/10010] Time 0.315 (0.328) Data 0.001 (0.001) Loss 1.2578 (1.4390) Prec@1 67.969 (66.749) Prec@5 87.500 (85.842) Epoch: [63][8880/10010] Time 0.321 (0.328) Data 0.001 (0.001) Loss 1.7130 (1.4390) Prec@1 62.500 (66.750) Prec@5 81.250 (85.842) Epoch: [63][8890/10010] Time 0.336 (0.328) Data 0.001 (0.001) Loss 1.3578 (1.4389) Prec@1 69.531 (66.750) Prec@5 86.719 (85.843) Epoch: [63][8900/10010] Time 0.321 (0.328) Data 0.001 (0.001) Loss 1.3446 (1.4390) Prec@1 70.312 (66.749) Prec@5 89.062 (85.843) Epoch: [63][8910/10010] Time 0.314 (0.328) Data 0.001 (0.001) Loss 1.3062 (1.4390) Prec@1 66.406 (66.749) Prec@5 92.188 (85.843) Epoch: [63][8920/10010] Time 0.340 (0.328) Data 0.000 (0.001) Loss 1.1077 (1.4390) Prec@1 74.219 (66.748) Prec@5 90.625 (85.844) Epoch: [63][8930/10010] Time 0.315 (0.328) Data 0.001 (0.001) Loss 1.4526 (1.4391) Prec@1 62.500 (66.745) Prec@5 86.719 (85.843) Epoch: [63][8940/10010] Time 0.338 (0.328) Data 0.001 (0.001) Loss 1.5085 (1.4390) Prec@1 69.531 (66.745) Prec@5 85.938 (85.844) Epoch: [63][8950/10010] Time 0.336 (0.328) Data 0.000 (0.001) Loss 1.3076 (1.4389) Prec@1 65.625 (66.748) Prec@5 89.062 (85.847) Epoch: [63][8960/10010] Time 0.334 (0.328) Data 0.000 (0.001) Loss 1.5181 (1.4389) Prec@1 61.719 (66.749) Prec@5 85.938 (85.846) Epoch: [63][8970/10010] Time 0.315 (0.328) Data 0.001 (0.001) Loss 1.7137 (1.4389) Prec@1 64.062 (66.748) Prec@5 78.125 (85.845) Epoch: [63][8980/10010] Time 0.328 (0.328) Data 0.001 (0.001) Loss 1.1453 (1.4389) Prec@1 71.094 (66.747) Prec@5 89.844 (85.845) Epoch: [63][8990/10010] Time 0.344 (0.328) Data 0.001 (0.001) Loss 1.3667 (1.4389) Prec@1 63.281 (66.748) Prec@5 88.281 (85.845) Epoch: [63][9000/10010] Time 0.333 (0.328) Data 0.000 (0.001) Loss 1.1786 (1.4387) Prec@1 71.875 (66.750) Prec@5 89.062 (85.847) Epoch: [63][9010/10010] Time 0.328 (0.328) Data 0.001 (0.001) Loss 1.5058 (1.4386) Prec@1 61.719 (66.753) Prec@5 85.156 (85.848) Epoch: [63][9020/10010] Time 0.331 (0.328) Data 0.001 (0.001) Loss 1.3061 (1.4386) Prec@1 68.750 (66.752) Prec@5 88.281 (85.850) Epoch: [63][9030/10010] Time 0.341 (0.328) Data 0.001 (0.001) Loss 1.3926 (1.4386) Prec@1 67.969 (66.751) Prec@5 86.719 (85.851) Epoch: [63][9040/10010] Time 0.332 (0.328) Data 0.001 (0.001) Loss 1.1022 (1.4386) Prec@1 72.656 (66.751) Prec@5 92.969 (85.851) Epoch: [63][9050/10010] Time 0.313 (0.328) Data 0.001 (0.001) Loss 1.3325 (1.4385) Prec@1 70.312 (66.752) Prec@5 85.938 (85.853) Epoch: [63][9060/10010] Time 0.328 (0.328) Data 0.000 (0.001) Loss 1.3275 (1.4386) Prec@1 66.406 (66.751) Prec@5 89.844 (85.853) Epoch: [63][9070/10010] Time 0.330 (0.328) Data 0.001 (0.001) Loss 1.6897 (1.4386) Prec@1 59.375 (66.750) Prec@5 83.594 (85.852) Epoch: [63][9080/10010] Time 0.320 (0.328) Data 0.001 (0.001) Loss 1.4566 (1.4386) Prec@1 65.625 (66.750) Prec@5 84.375 (85.853) Epoch: [63][9090/10010] Time 0.315 (0.328) Data 0.001 (0.001) Loss 1.4263 (1.4386) Prec@1 67.969 (66.750) Prec@5 85.156 (85.853) Epoch: [63][9100/10010] Time 0.342 (0.328) Data 0.001 (0.001) Loss 1.5231 (1.4386) Prec@1 70.312 (66.750) Prec@5 82.812 (85.854) /data/vision/torralba/deepscene/lib/anaconda2/lib/python2.7/site-packages/PIL/TiffImagePlugin.py:709: UserWarning: Corrupt EXIF data. Expecting to read 4 bytes but only got 0. warnings.warn(str(msg)) Epoch: [63][9110/10010] Time 0.330 (0.328) Data 0.001 (0.001) Loss 1.5601 (1.4385) Prec@1 61.719 (66.751) Prec@5 83.594 (85.855) Epoch: [63][9120/10010] Time 0.337 (0.328) Data 0.000 (0.001) Loss 1.4968 (1.4386) Prec@1 60.938 (66.749) Prec@5 85.156 (85.853) Epoch: [63][9130/10010] Time 0.341 (0.328) Data 0.001 (0.001) Loss 1.4742 (1.4386) Prec@1 67.188 (66.749) Prec@5 84.375 (85.852) Epoch: [63][9140/10010] Time 0.311 (0.328) Data 0.001 (0.001) Loss 1.7201 (1.4387) Prec@1 58.594 (66.748) Prec@5 81.250 (85.852) Epoch: [63][9150/10010] Time 0.313 (0.328) Data 0.001 (0.001) Loss 1.3186 (1.4386) Prec@1 67.188 (66.748) Prec@5 88.281 (85.853) /data/vision/torralba/deepscene/lib/anaconda2/lib/python2.7/site-packages/PIL/TiffImagePlugin.py:692: UserWarning: Possibly corrupt EXIF data. Expecting to read 19660800 bytes but only got 0. Skipping tag 0 "Skipping tag %s" % (size, len(data), tag)) /data/vision/torralba/deepscene/lib/anaconda2/lib/python2.7/site-packages/PIL/TiffImagePlugin.py:692: UserWarning: Possibly corrupt EXIF data. Expecting to read 18481152 bytes but only got 0. Skipping tag 0 "Skipping tag %s" % (size, len(data), tag)) /data/vision/torralba/deepscene/lib/anaconda2/lib/python2.7/site-packages/PIL/TiffImagePlugin.py:692: UserWarning: Possibly corrupt EXIF data. Expecting to read 37093376 bytes but only got 0. Skipping tag 0 "Skipping tag %s" % (size, len(data), tag)) /data/vision/torralba/deepscene/lib/anaconda2/lib/python2.7/site-packages/PIL/TiffImagePlugin.py:692: UserWarning: Possibly corrupt EXIF data. Expecting to read 39976960 bytes but only got 0. Skipping tag 0 "Skipping tag %s" % (size, len(data), tag)) /data/vision/torralba/deepscene/lib/anaconda2/lib/python2.7/site-packages/PIL/TiffImagePlugin.py:692: UserWarning: Possibly corrupt EXIF data. Expecting to read 34865152 bytes but only got 0. Skipping tag 0 "Skipping tag %s" % (size, len(data), tag)) /data/vision/torralba/deepscene/lib/anaconda2/lib/python2.7/site-packages/PIL/TiffImagePlugin.py:709: UserWarning: Corrupt EXIF data. Expecting to read 12 bytes but only got 10. warnings.warn(str(msg)) Epoch: [63][9160/10010] Time 0.318 (0.328) Data 0.000 (0.001) Loss 1.4710 (1.4386) Prec@1 65.625 (66.749) Prec@5 85.938 (85.853) Epoch: [63][9170/10010] Time 0.329 (0.328) Data 0.000 (0.001) Loss 1.4795 (1.4385) Prec@1 64.062 (66.751) Prec@5 87.500 (85.853) Epoch: [63][9180/10010] Time 0.321 (0.328) Data 0.001 (0.001) Loss 1.5723 (1.4385) Prec@1 60.156 (66.751) Prec@5 84.375 (85.854) Epoch: [63][9190/10010] Time 0.322 (0.328) Data 0.001 (0.001) Loss 1.4918 (1.4385) Prec@1 68.750 (66.751) Prec@5 83.594 (85.853) Epoch: [63][9200/10010] Time 0.324 (0.328) Data 0.001 (0.001) Loss 1.3523 (1.4385) Prec@1 66.406 (66.752) Prec@5 84.375 (85.853) Epoch: [63][9210/10010] Time 0.321 (0.328) Data 0.001 (0.001) Loss 1.4354 (1.4385) Prec@1 65.625 (66.751) Prec@5 82.031 (85.853) Epoch: [63][9220/10010] Time 0.327 (0.328) Data 0.000 (0.001) Loss 1.2071 (1.4385) Prec@1 67.969 (66.750) Prec@5 89.062 (85.854) Epoch: [63][9230/10010] Time 0.334 (0.328) Data 0.001 (0.001) Loss 1.3666 (1.4385) Prec@1 64.844 (66.751) Prec@5 86.719 (85.854) Epoch: [63][9240/10010] Time 0.323 (0.328) Data 0.000 (0.001) Loss 1.5689 (1.4385) Prec@1 64.062 (66.749) Prec@5 85.156 (85.853) Epoch: [63][9250/10010] Time 0.320 (0.328) Data 0.000 (0.001) Loss 1.5880 (1.4386) Prec@1 61.719 (66.749) Prec@5 86.719 (85.853) Epoch: [63][9260/10010] Time 0.336 (0.328) Data 0.001 (0.001) Loss 1.6894 (1.4386) Prec@1 62.500 (66.747) Prec@5 79.688 (85.851) Epoch: [63][9270/10010] Time 0.339 (0.328) Data 0.001 (0.001) Loss 1.2672 (1.4386) Prec@1 71.094 (66.747) Prec@5 85.938 (85.851) Epoch: [63][9280/10010] Time 0.313 (0.328) Data 0.001 (0.001) Loss 1.3482 (1.4385) Prec@1 67.969 (66.748) Prec@5 86.719 (85.852) Epoch: [63][9290/10010] Time 0.316 (0.328) Data 0.000 (0.001) Loss 1.6774 (1.4386) Prec@1 62.500 (66.748) Prec@5 85.938 (85.850) Epoch: [63][9300/10010] Time 0.318 (0.328) Data 0.001 (0.001) Loss 1.5427 (1.4386) Prec@1 65.625 (66.748) Prec@5 84.375 (85.850) Epoch: [63][9310/10010] Time 0.334 (0.328) Data 0.000 (0.001) Loss 1.4647 (1.4385) Prec@1 71.875 (66.750) Prec@5 82.812 (85.851) Epoch: [63][9320/10010] Time 0.322 (0.328) Data 0.000 (0.001) Loss 1.2175 (1.4385) Prec@1 68.750 (66.749) Prec@5 92.188 (85.852) Epoch: [63][9330/10010] Time 0.316 (0.328) Data 0.001 (0.001) Loss 1.5043 (1.4385) Prec@1 62.500 (66.748) Prec@5 85.938 (85.852) Epoch: [63][9340/10010] Time 0.337 (0.328) Data 0.000 (0.001) Loss 1.3552 (1.4384) Prec@1 68.750 (66.750) Prec@5 86.719 (85.855) Epoch: [63][9350/10010] Time 0.317 (0.328) Data 0.001 (0.001) Loss 1.8818 (1.4383) Prec@1 59.375 (66.752) Prec@5 78.906 (85.856) /data/vision/torralba/deepscene/lib/anaconda2/lib/python2.7/site-packages/PIL/TiffImagePlugin.py:692: UserWarning: Possibly corrupt EXIF data. Expecting to read 2555904 bytes but only got 0. Skipping tag 0 "Skipping tag %s" % (size, len(data), tag)) Epoch: [63][9360/10010] Time 0.334 (0.328) Data 0.000 (0.001) Loss 1.9399 (1.4383) Prec@1 52.344 (66.751) Prec@5 81.250 (85.856) Epoch: [63][9370/10010] Time 0.317 (0.328) Data 0.001 (0.001) Loss 1.3689 (1.4383) Prec@1 69.531 (66.750) Prec@5 86.719 (85.855) Epoch: [63][9380/10010] Time 0.317 (0.328) Data 0.001 (0.001) Loss 1.3071 (1.4383) Prec@1 72.656 (66.750) Prec@5 86.719 (85.855) Epoch: [63][9390/10010] Time 0.341 (0.328) Data 0.001 (0.001) Loss 1.5635 (1.4383) Prec@1 65.625 (66.750) Prec@5 82.812 (85.855) Epoch: [63][9400/10010] Time 0.319 (0.328) Data 0.000 (0.001) Loss 1.5183 (1.4383) Prec@1 64.062 (66.748) Prec@5 85.938 (85.856) Epoch: [63][9410/10010] Time 0.316 (0.328) Data 0.001 (0.001) Loss 1.3826 (1.4383) Prec@1 74.219 (66.750) Prec@5 85.938 (85.857) Epoch: [63][9420/10010] Time 0.327 (0.328) Data 0.001 (0.001) Loss 1.4072 (1.4383) Prec@1 64.844 (66.750) Prec@5 85.938 (85.857) Epoch: [63][9430/10010] Time 0.312 (0.328) Data 0.001 (0.001) Loss 1.3525 (1.4383) Prec@1 67.969 (66.749) Prec@5 89.844 (85.858) Epoch: [63][9440/10010] Time 0.330 (0.328) Data 0.001 (0.001) Loss 1.4387 (1.4383) Prec@1 66.406 (66.749) Prec@5 86.719 (85.857) Epoch: [63][9450/10010] Time 0.319 (0.328) Data 0.001 (0.001) Loss 1.3848 (1.4383) Prec@1 67.188 (66.749) Prec@5 85.938 (85.858) Epoch: [63][9460/10010] Time 0.328 (0.328) Data 0.001 (0.001) Loss 1.3416 (1.4383) Prec@1 72.656 (66.751) Prec@5 87.500 (85.858) Epoch: [63][9470/10010] Time 0.319 (0.328) Data 0.001 (0.001) Loss 1.2112 (1.4383) Prec@1 66.406 (66.750) Prec@5 88.281 (85.858) Epoch: [63][9480/10010] Time 0.320 (0.328) Data 0.001 (0.001) Loss 1.5847 (1.4383) Prec@1 68.750 (66.751) Prec@5 84.375 (85.857) Epoch: [63][9490/10010] Time 0.327 (0.328) Data 0.001 (0.001) Loss 1.6859 (1.4383) Prec@1 59.375 (66.750) Prec@5 83.594 (85.858) Epoch: [63][9500/10010] Time 0.315 (0.328) Data 0.001 (0.001) Loss 1.2422 (1.4383) Prec@1 74.219 (66.752) Prec@5 87.500 (85.858) Epoch: [63][9510/10010] Time 0.331 (0.328) Data 0.001 (0.001) Loss 1.3511 (1.4382) Prec@1 67.969 (66.751) Prec@5 89.844 (85.859) Epoch: [63][9520/10010] Time 0.322 (0.328) Data 0.001 (0.001) Loss 1.5397 (1.4382) Prec@1 64.844 (66.752) Prec@5 79.688 (85.859) Epoch: [63][9530/10010] Time 0.338 (0.328) Data 0.001 (0.001) Loss 1.5655 (1.4382) Prec@1 64.062 (66.751) Prec@5 80.469 (85.858) Epoch: [63][9540/10010] Time 0.338 (0.328) Data 0.000 (0.001) Loss 1.1617 (1.4381) Prec@1 72.656 (66.752) Prec@5 92.188 (85.857) Epoch: [63][9550/10010] Time 0.339 (0.328) Data 0.001 (0.001) Loss 1.8389 (1.4381) Prec@1 57.031 (66.752) Prec@5 78.906 (85.857) Epoch: [63][9560/10010] Time 0.320 (0.328) Data 0.001 (0.001) Loss 1.7054 (1.4382) Prec@1 60.156 (66.751) Prec@5 82.031 (85.856) Epoch: [63][9570/10010] Time 0.338 (0.328) Data 0.000 (0.001) Loss 1.5912 (1.4382) Prec@1 65.625 (66.752) Prec@5 83.594 (85.856) Epoch: [63][9580/10010] Time 0.329 (0.328) Data 0.001 (0.001) Loss 1.5262 (1.4382) Prec@1 63.281 (66.751) Prec@5 82.812 (85.855) Epoch: [63][9590/10010] Time 0.334 (0.328) Data 0.001 (0.001) Loss 1.3784 (1.4382) Prec@1 69.531 (66.751) Prec@5 86.719 (85.855) Epoch: [63][9600/10010] Time 0.344 (0.328) Data 0.001 (0.001) Loss 1.5580 (1.4382) Prec@1 67.969 (66.753) Prec@5 84.375 (85.856) Epoch: [63][9610/10010] Time 0.338 (0.328) Data 0.000 (0.001) Loss 1.4325 (1.4382) Prec@1 64.844 (66.754) Prec@5 84.375 (85.855) Epoch: [63][9620/10010] Time 0.335 (0.328) Data 0.001 (0.001) Loss 1.3248 (1.4382) Prec@1 65.625 (66.752) Prec@5 83.594 (85.853) Epoch: [63][9630/10010] Time 0.326 (0.328) Data 0.001 (0.001) Loss 1.5432 (1.4383) Prec@1 63.281 (66.751) Prec@5 83.594 (85.852) Epoch: [63][9640/10010] Time 0.337 (0.328) Data 0.000 (0.001) Loss 1.6152 (1.4383) Prec@1 60.938 (66.751) Prec@5 82.031 (85.854) Epoch: [63][9650/10010] Time 0.334 (0.328) Data 0.000 (0.001) Loss 1.3323 (1.4383) Prec@1 72.656 (66.751) Prec@5 85.938 (85.853) Epoch: [63][9660/10010] Time 0.324 (0.328) Data 0.001 (0.001) Loss 1.5120 (1.4383) Prec@1 64.844 (66.750) Prec@5 85.156 (85.853) Epoch: [63][9670/10010] Time 0.336 (0.328) Data 0.001 (0.001) Loss 1.4729 (1.4383) Prec@1 68.750 (66.751) Prec@5 84.375 (85.853) Epoch: [63][9680/10010] Time 0.337 (0.328) Data 0.001 (0.001) Loss 1.6410 (1.4382) Prec@1 64.062 (66.750) Prec@5 81.250 (85.853) Epoch: [63][9690/10010] Time 0.329 (0.328) Data 0.001 (0.001) Loss 1.4518 (1.4383) Prec@1 65.625 (66.750) Prec@5 85.156 (85.852) Epoch: [63][9700/10010] Time 0.313 (0.328) Data 0.001 (0.001) Loss 1.4303 (1.4383) Prec@1 67.969 (66.751) Prec@5 86.719 (85.853) Epoch: [63][9710/10010] Time 0.312 (0.328) Data 0.001 (0.001) Loss 1.6358 (1.4383) Prec@1 60.938 (66.750) Prec@5 85.938 (85.853) Epoch: [63][9720/10010] Time 0.315 (0.328) Data 0.001 (0.001) Loss 1.1785 (1.4383) Prec@1 71.094 (66.750) Prec@5 86.719 (85.852) Epoch: [63][9730/10010] Time 0.320 (0.328) Data 0.001 (0.001) Loss 1.6509 (1.4383) Prec@1 60.156 (66.750) Prec@5 83.594 (85.852) Epoch: [63][9740/10010] Time 0.323 (0.328) Data 0.000 (0.001) Loss 1.6231 (1.4383) Prec@1 64.844 (66.750) Prec@5 82.812 (85.852) Epoch: [63][9750/10010] Time 0.318 (0.328) Data 0.001 (0.001) Loss 1.3514 (1.4384) Prec@1 65.625 (66.748) Prec@5 89.062 (85.850) Epoch: [63][9760/10010] Time 0.333 (0.328) Data 0.001 (0.001) Loss 1.3829 (1.4384) Prec@1 67.969 (66.747) Prec@5 88.281 (85.849) Epoch: [63][9770/10010] Time 0.316 (0.328) Data 0.001 (0.001) Loss 1.7266 (1.4384) Prec@1 58.594 (66.746) Prec@5 78.906 (85.850) Epoch: [63][9780/10010] Time 0.330 (0.328) Data 0.001 (0.001) Loss 1.6071 (1.4384) Prec@1 59.375 (66.748) Prec@5 81.250 (85.850) Epoch: [63][9790/10010] Time 0.325 (0.328) Data 0.001 (0.001) Loss 1.3272 (1.4383) Prec@1 71.094 (66.749) Prec@5 86.719 (85.850) Epoch: [63][9800/10010] Time 0.324 (0.328) Data 0.001 (0.001) Loss 1.4528 (1.4383) Prec@1 65.625 (66.750) Prec@5 84.375 (85.850) Epoch: [63][9810/10010] Time 0.338 (0.328) Data 0.001 (0.001) Loss 1.2480 (1.4383) Prec@1 70.312 (66.749) Prec@5 89.844 (85.850) Epoch: [63][9820/10010] Time 0.320 (0.328) Data 0.001 (0.001) Loss 1.6019 (1.4383) Prec@1 64.062 (66.750) Prec@5 82.812 (85.851) Epoch: [63][9830/10010] Time 0.322 (0.328) Data 0.001 (0.001) Loss 1.5419 (1.4382) Prec@1 62.500 (66.753) Prec@5 83.594 (85.853) Epoch: [63][9840/10010] Time 0.324 (0.328) Data 0.001 (0.001) Loss 1.4281 (1.4381) Prec@1 68.750 (66.753) Prec@5 86.719 (85.854) Epoch: [63][9850/10010] Time 0.339 (0.328) Data 0.000 (0.001) Loss 1.2947 (1.4380) Prec@1 72.656 (66.755) Prec@5 87.500 (85.856) Epoch: [63][9860/10010] Time 0.322 (0.328) Data 0.000 (0.001) Loss 1.3840 (1.4380) Prec@1 70.312 (66.754) Prec@5 85.938 (85.855) Epoch: [63][9870/10010] Time 0.320 (0.328) Data 0.001 (0.001) Loss 1.4395 (1.4379) Prec@1 69.531 (66.757) Prec@5 87.500 (85.856) Epoch: [63][9880/10010] Time 0.331 (0.328) Data 0.001 (0.001) Loss 1.4111 (1.4379) Prec@1 69.531 (66.759) Prec@5 84.375 (85.856) Epoch: [63][9890/10010] Time 0.327 (0.328) Data 0.001 (0.001) Loss 1.4691 (1.4379) Prec@1 63.281 (66.757) Prec@5 87.500 (85.855) Epoch: [63][9900/10010] Time 0.323 (0.328) Data 0.000 (0.001) Loss 1.2886 (1.4379) Prec@1 66.406 (66.758) Prec@5 89.062 (85.856) Epoch: [63][9910/10010] Time 0.338 (0.328) Data 0.001 (0.001) Loss 1.4582 (1.4380) Prec@1 67.969 (66.757) Prec@5 85.938 (85.853) Epoch: [63][9920/10010] Time 0.323 (0.328) Data 0.001 (0.001) Loss 1.5556 (1.4379) Prec@1 64.062 (66.757) Prec@5 84.375 (85.854) Epoch: [63][9930/10010] Time 0.330 (0.328) Data 0.000 (0.001) Loss 1.5079 (1.4380) Prec@1 66.406 (66.758) Prec@5 83.594 (85.854) Epoch: [63][9940/10010] Time 0.329 (0.328) Data 0.001 (0.001) Loss 1.0899 (1.4378) Prec@1 75.781 (66.761) Prec@5 92.188 (85.855) Epoch: [63][9950/10010] Time 0.339 (0.328) Data 0.001 (0.001) Loss 1.4461 (1.4378) Prec@1 67.188 (66.762) Prec@5 84.375 (85.855) Epoch: [63][9960/10010] Time 0.340 (0.328) Data 0.000 (0.001) Loss 1.0956 (1.4379) Prec@1 76.562 (66.762) Prec@5 88.281 (85.853) Epoch: [63][9970/10010] Time 0.341 (0.328) Data 0.000 (0.001) Loss 1.5314 (1.4379) Prec@1 61.719 (66.763) Prec@5 85.156 (85.855) Epoch: [63][9980/10010] Time 0.332 (0.328) Data 0.000 (0.001) Loss 1.3542 (1.4380) Prec@1 70.312 (66.761) Prec@5 89.844 (85.852) Epoch: [63][9990/10010] Time 0.326 (0.328) Data 0.001 (0.001) Loss 1.5703 (1.4380) Prec@1 60.156 (66.761) Prec@5 85.938 (85.852) Epoch: [63][10000/10010] Time 0.320 (0.328) Data 0.000 (0.001) Loss 1.4993 (1.4379) Prec@1 66.406 (66.761) Prec@5 84.375 (85.853) Test: [0/391] Time 1.342 (1.342) Loss 0.6782 (0.6782) Prec@1 84.375 (84.375) Prec@5 95.312 (95.312) Test: [10/391] Time 0.105 (0.226) Loss 1.1648 (0.6597) Prec@1 71.875 (83.665) Prec@5 90.625 (95.384) Test: [20/391] Time 0.107 (0.173) Loss 0.8539 (0.9172) Prec@1 78.125 (76.376) Prec@5 92.188 (92.894) Test: [30/391] Time 0.112 (0.152) Loss 1.6897 (1.0423) Prec@1 67.188 (73.110) Prec@5 86.719 (92.112) Test: [40/391] Time 0.109 (0.141) Loss 0.8896 (0.9364) Prec@1 78.906 (75.934) Prec@5 91.406 (92.988) Test: [50/391] Time 0.102 (0.135) Loss 0.5254 (0.9612) Prec@1 84.375 (75.751) Prec@5 95.312 (92.494) Test: [60/391] Time 0.105 (0.130) Loss 0.9765 (0.9082) Prec@1 78.906 (77.228) Prec@5 90.625 (92.956) Test: [70/391] Time 0.104 (0.127) Loss 1.0707 (0.9370) Prec@1 68.750 (76.298) Prec@5 95.312 (92.947) Test: [80/391] Time 0.100 (0.124) Loss 0.9527 (0.9537) Prec@1 75.000 (75.453) Prec@5 92.969 (92.901) Test: [90/391] Time 0.101 (0.122) Loss 1.1248 (0.9580) Prec@1 60.938 (75.266) Prec@5 93.750 (92.969) Test: [100/391] Time 0.109 (0.121) Loss 0.6320 (0.9499) Prec@1 83.594 (75.162) Prec@5 97.656 (93.201) Test: [110/391] Time 0.104 (0.120) Loss 1.2832 (0.9512) Prec@1 50.000 (74.873) Prec@5 96.875 (93.349) Test: [120/391] Time 0.104 (0.118) Loss 0.7126 (0.9448) Prec@1 83.594 (75.220) Prec@5 96.094 (93.421) Test: [130/391] Time 0.107 (0.117) Loss 0.4621 (0.9369) Prec@1 91.406 (75.567) Prec@5 96.875 (93.482) Test: [140/391] Time 0.105 (0.117) Loss 1.3460 (0.9379) Prec@1 64.062 (75.515) Prec@5 88.281 (93.451) Test: [150/391] Time 0.108 (0.116) Loss 0.9925 (0.9442) Prec@1 68.750 (75.445) Prec@5 92.969 (93.310) Test: [160/391] Time 0.109 (0.115) Loss 0.9817 (0.9522) Prec@1 70.312 (75.233) Prec@5 92.188 (93.202) Test: [170/391] Time 0.103 (0.115) Loss 1.6094 (0.9842) Prec@1 58.594 (74.575) Prec@5 88.281 (92.859) Test: [180/391] Time 0.109 (0.115) Loss 2.0822 (1.0173) Prec@1 49.219 (73.921) Prec@5 84.375 (92.464) Test: [190/391] Time 0.104 (0.115) Loss 2.2150 (1.0526) Prec@1 54.688 (73.204) Prec@5 81.250 (91.987) Test: [200/391] Time 0.108 (0.114) Loss 1.1541 (1.0822) Prec@1 68.750 (72.652) Prec@5 90.625 (91.566) Test: [210/391] Time 0.104 (0.114) Loss 1.5536 (1.1001) Prec@1 65.625 (72.334) Prec@5 86.719 (91.388) Test: [220/391] Time 0.097 (0.113) Loss 0.7276 (1.1105) Prec@1 79.688 (72.175) Prec@5 95.312 (91.166) Test: [230/391] Time 0.102 (0.113) Loss 2.0271 (1.1246) Prec@1 54.688 (71.926) Prec@5 80.469 (90.990) Test: [240/391] Time 0.105 (0.112) Loss 1.4007 (1.1337) Prec@1 71.094 (71.794) Prec@5 84.375 (90.820) Test: [250/391] Time 0.102 (0.112) Loss 0.9077 (1.1583) Prec@1 76.562 (71.234) Prec@5 92.188 (90.513) Test: [260/391] Time 0.106 (0.112) Loss 1.5321 (1.1733) Prec@1 62.500 (70.920) Prec@5 87.500 (90.332) Test: [270/391] Time 0.110 (0.112) Loss 1.9875 (1.1845) Prec@1 53.125 (70.658) Prec@5 82.812 (90.181) Test: [280/391] Time 0.104 (0.112) Loss 1.3288 (1.1903) Prec@1 63.281 (70.560) Prec@5 90.625 (90.111) Test: [290/391] Time 0.100 (0.112) Loss 1.6259 (1.2024) Prec@1 49.219 (70.286) Prec@5 88.281 (89.922) Test: [300/391] Time 0.097 (0.111) Loss 1.3250 (1.2124) Prec@1 79.688 (70.113) Prec@5 86.719 (89.784) Test: [310/391] Time 0.107 (0.111) Loss 1.5241 (1.2217) Prec@1 65.625 (69.958) Prec@5 85.938 (89.633) Test: [320/391] Time 0.107 (0.111) Loss 0.8105 (1.2288) Prec@1 84.375 (69.853) Prec@5 92.188 (89.552) Test: [330/391] Time 0.106 (0.111) Loss 1.8932 (1.2469) Prec@1 57.031 (69.434) Prec@5 81.250 (89.308) Test: [340/391] Time 0.107 (0.111) Loss 1.1859 (1.2525) Prec@1 60.938 (69.256) Prec@5 94.531 (89.257) Test: [350/391] Time 0.106 (0.111) Loss 1.2078 (1.2572) Prec@1 71.094 (69.191) Prec@5 90.625 (89.185) Test: [360/391] Time 0.106 (0.111) Loss 1.3392 (1.2657) Prec@1 62.500 (69.031) Prec@5 92.188 (89.114) Test: [370/391] Time 0.104 (0.111) Loss 1.1963 (1.2603) Prec@1 65.625 (69.104) Prec@5 96.094 (89.187) Test: [380/391] Time 0.099 (0.110) Loss 0.9891 (1.2612) Prec@1 76.562 (69.068) Prec@5 92.188 (89.165) Test: [390/391] Time 0.071 (0.110) Loss 1.9911 (1.2541) Prec@1 37.500 (69.234) Prec@5 83.750 (89.248) * Prec@1 69.234 Prec@5 89.248 Epoch: [64][0/10010] Time 3.999 (3.999) Data 3.813 (3.813) Loss 1.2654 (1.2654) Prec@1 70.312 (70.312) Prec@5 86.719 (86.719) Epoch: [64][10/10010] Time 0.313 (0.651) Data 0.001 (0.347) Loss 1.1831 (1.3533) Prec@1 70.312 (68.679) Prec@5 89.062 (86.861) Epoch: [64][20/10010] Time 0.310 (0.491) Data 0.001 (0.182) Loss 1.5603 (1.3691) Prec@1 57.031 (68.118) Prec@5 87.500 (86.607) Epoch: [64][30/10010] Time 0.316 (0.435) Data 0.001 (0.124) Loss 1.3051 (1.3471) Prec@1 67.969 (68.674) Prec@5 88.281 (86.870) Epoch: [64][40/10010] Time 0.319 (0.405) Data 0.001 (0.094) Loss 1.3384 (1.3623) Prec@1 66.406 (68.540) Prec@5 87.500 (86.528) Epoch: [64][50/10010] Time 0.318 (0.388) Data 0.000 (0.075) Loss 1.5265 (1.3560) Prec@1 66.406 (68.352) Prec@5 84.375 (86.673) Epoch: [64][60/10010] Time 0.318 (0.376) Data 0.000 (0.063) Loss 1.4418 (1.3413) Prec@1 66.406 (68.558) Prec@5 84.375 (86.808) Epoch: [64][70/10010] Time 0.320 (0.369) Data 0.000 (0.054) Loss 1.5989 (1.3434) Prec@1 60.156 (68.541) Prec@5 86.719 (87.060) Epoch: [64][80/10010] Time 0.337 (0.365) Data 0.001 (0.048) Loss 1.0802 (1.3511) Prec@1 73.438 (68.490) Prec@5 90.625 (87.047) Epoch: [64][90/10010] Time 0.336 (0.361) Data 0.001 (0.043) Loss 1.2975 (1.3543) Prec@1 72.656 (68.475) Prec@5 87.500 (87.036) Epoch: [64][100/10010] Time 0.310 (0.357) Data 0.001 (0.038) Loss 1.3421 (1.3648) Prec@1 65.625 (68.131) Prec@5 89.844 (86.920) Epoch: [64][110/10010] Time 0.324 (0.354) Data 0.001 (0.035) Loss 1.7167 (1.3705) Prec@1 60.156 (67.990) Prec@5 82.031 (86.817) Epoch: [64][120/10010] Time 0.335 (0.352) Data 0.001 (0.032) Loss 1.9284 (1.3797) Prec@1 58.594 (67.775) Prec@5 75.781 (86.719) Epoch: [64][130/10010] Time 0.327 (0.350) Data 0.001 (0.030) Loss 1.4497 (1.3797) Prec@1 66.406 (67.754) Prec@5 85.156 (86.683) Epoch: [64][140/10010] Time 0.325 (0.348) Data 0.001 (0.028) Loss 1.9056 (1.3844) Prec@1 57.812 (67.525) Prec@5 75.781 (86.658) Epoch: [64][150/10010] Time 0.342 (0.347) Data 0.001 (0.026) Loss 1.4573 (1.3892) Prec@1 64.062 (67.534) Prec@5 85.938 (86.564) Epoch: [64][160/10010] Time 0.325 (0.346) Data 0.001 (0.024) Loss 1.5824 (1.3922) Prec@1 64.844 (67.585) Prec@5 85.156 (86.510) Epoch: [64][170/10010] Time 0.322 (0.344) Data 0.001 (0.023) Loss 1.5194 (1.3917) Prec@1 66.406 (67.631) Prec@5 83.594 (86.509) Epoch: [64][180/10010] Time 0.318 (0.343) Data 0.000 (0.022) Loss 1.4743 (1.3947) Prec@1 67.188 (67.671) Prec@5 88.281 (86.494) Epoch: [64][190/10010] Time 0.339 (0.342) Data 0.001 (0.021) Loss 1.4954 (1.3954) Prec@1 63.281 (67.678) Prec@5 83.594 (86.531) Epoch: [64][200/10010] Time 0.327 (0.342) Data 0.000 (0.020) Loss 1.4727 (1.3955) Prec@1 71.875 (67.693) Prec@5 82.812 (86.474) Epoch: [64][210/10010] Time 0.335 (0.341) Data 0.001 (0.019) Loss 1.4157 (1.3973) Prec@1 67.969 (67.639) Prec@5 87.500 (86.434) Epoch: [64][220/10010] Time 0.336 (0.340) Data 0.001 (0.018) Loss 1.8595 (1.3989) Prec@1 55.469 (67.580) Prec@5 78.906 (86.432) Epoch: [64][230/10010] Time 0.324 (0.340) Data 0.000 (0.017) Loss 1.2393 (1.4021) Prec@1 71.875 (67.536) Prec@5 92.188 (86.441) Epoch: [64][240/10010] Time 0.339 (0.339) Data 0.001 (0.016) Loss 1.3042 (1.4024) Prec@1 67.969 (67.544) Prec@5 85.938 (86.453) Epoch: [64][250/10010] Time 0.329 (0.339) Data 0.000 (0.016) Loss 1.6899 (1.4031) Prec@1 65.625 (67.573) Prec@5 82.812 (86.454) Epoch: [64][260/10010] Time 0.326 (0.338) Data 0.001 (0.015) Loss 1.6432 (1.4046) Prec@1 60.938 (67.550) Prec@5 84.375 (86.401) Epoch: [64][270/10010] Time 0.323 (0.338) Data 0.001 (0.015) Loss 1.4261 (1.4041) Prec@1 67.188 (67.536) Prec@5 85.938 (86.396) Epoch: [64][280/10010] Time 0.336 (0.337) Data 0.001 (0.014) Loss 1.4429 (1.4035) Prec@1 67.188 (67.516) Prec@5 85.156 (86.405) Epoch: [64][290/10010] Time 0.322 (0.337) Data 0.001 (0.014) Loss 1.5656 (1.4058) Prec@1 67.188 (67.483) Prec@5 84.375 (86.421) Epoch: [64][300/10010] Time 0.324 (0.336) Data 0.000 (0.013) Loss 1.2312 (1.4051) Prec@1 64.844 (67.476) Prec@5 88.281 (86.407) Epoch: [64][310/10010] Time 0.335 (0.336) Data 0.001 (0.013) Loss 1.5699 (1.4041) Prec@1 65.625 (67.434) Prec@5 82.812 (86.417) Epoch: [64][320/10010] Time 0.328 (0.336) Data 0.001 (0.013) Loss 1.5591 (1.4052) Prec@1 61.719 (67.385) Prec@5 82.031 (86.383) Epoch: [64][330/10010] Time 0.316 (0.335) Data 0.001 (0.012) Loss 1.8289 (1.4065) Prec@1 58.594 (67.386) Prec@5 80.469 (86.343) Epoch: [64][340/10010] Time 0.333 (0.335) Data 0.001 (0.012) Loss 1.3649 (1.4081) Prec@1 67.188 (67.389) Prec@5 85.156 (86.297) Epoch: [64][350/10010] Time 0.339 (0.335) Data 0.000 (0.012) Loss 1.2813 (1.4101) Prec@1 76.562 (67.354) Prec@5 87.500 (86.265) Epoch: [64][360/10010] Time 0.332 (0.335) Data 0.001 (0.011) Loss 1.3863 (1.4103) Prec@1 66.406 (67.376) Prec@5 85.156 (86.271) Epoch: [64][370/10010] Time 0.341 (0.335) Data 0.000 (0.011) Loss 1.3992 (1.4115) Prec@1 67.969 (67.360) Prec@5 86.719 (86.285) Epoch: [64][380/10010] Time 0.335 (0.335) Data 0.000 (0.011) Loss 1.4978 (1.4120) Prec@1 64.062 (67.409) Prec@5 85.156 (86.268) Epoch: [64][390/10010] Time 0.315 (0.334) Data 0.000 (0.010) Loss 1.5889 (1.4133) Prec@1 61.719 (67.361) Prec@5 82.812 (86.245) Epoch: [64][400/10010] Time 0.309 (0.334) Data 0.001 (0.010) Loss 1.3778 (1.4136) Prec@1 69.531 (67.380) Prec@5 91.406 (86.247) Epoch: [64][410/10010] Time 0.323 (0.334) Data 0.001 (0.010) Loss 1.4436 (1.4135) Prec@1 66.406 (67.379) Prec@5 85.938 (86.240) Epoch: [64][420/10010] Time 0.320 (0.334) Data 0.001 (0.010) Loss 1.3458 (1.4147) Prec@1 64.062 (67.366) Prec@5 88.281 (86.207) Epoch: [64][430/10010] Time 0.319 (0.333) Data 0.001 (0.010) Loss 1.6863 (1.4150) Prec@1 60.938 (67.365) Prec@5 85.156 (86.208) Epoch: [64][440/10010] Time 0.333 (0.333) Data 0.003 (0.009) Loss 1.3312 (1.4143) Prec@1 67.188 (67.379) Prec@5 89.062 (86.228) Epoch: [64][450/10010] Time 0.330 (0.333) Data 0.001 (0.009) Loss 1.4212 (1.4137) Prec@1 65.625 (67.369) Prec@5 84.375 (86.229) Epoch: [64][460/10010] Time 0.322 (0.333) Data 0.000 (0.009) Loss 1.4625 (1.4118) Prec@1 65.625 (67.406) Prec@5 85.938 (86.254) Epoch: [64][470/10010] Time 0.332 (0.333) Data 0.000 (0.009) Loss 1.5532 (1.4122) Prec@1 61.719 (67.401) Prec@5 82.812 (86.238) Epoch: [64][480/10010] Time 0.339 (0.332) Data 0.000 (0.009) Loss 1.5683 (1.4132) Prec@1 63.281 (67.363) Prec@5 84.375 (86.228) Epoch: [64][490/10010] Time 0.325 (0.332) Data 0.000 (0.008) Loss 1.2592 (1.4151) Prec@1 67.969 (67.308) Prec@5 89.062 (86.206) Epoch: [64][500/10010] Time 0.334 (0.332) Data 0.001 (0.008) Loss 1.2492 (1.4157) Prec@1 67.969 (67.298) Prec@5 89.062 (86.217) Epoch: [64][510/10010] Time 0.334 (0.332) Data 0.001 (0.008) Loss 1.1809 (1.4153) Prec@1 74.219 (67.304) Prec@5 87.500 (86.225) Epoch: [64][520/10010] Time 0.310 (0.332) Data 0.000 (0.008) Loss 1.4566 (1.4147) Prec@1 63.281 (67.318) Prec@5 86.719 (86.225) Epoch: [64][530/10010] Time 0.330 (0.332) Data 0.000 (0.008) Loss 1.5412 (1.4149) Prec@1 65.625 (67.283) Prec@5 82.031 (86.217) Epoch: [64][540/10010] Time 0.338 (0.332) Data 0.000 (0.008) Loss 1.3433 (1.4148) Prec@1 69.531 (67.280) Prec@5 85.156 (86.219) Epoch: [64][550/10010] Time 0.319 (0.332) Data 0.001 (0.008) Loss 1.3603 (1.4154) Prec@1 66.406 (67.260) Prec@5 89.844 (86.210) Epoch: [64][560/10010] Time 0.344 (0.332) Data 0.000 (0.007) Loss 1.4307 (1.4162) Prec@1 65.625 (67.260) Prec@5 84.375 (86.202) Epoch: [64][570/10010] Time 0.325 (0.332) Data 0.001 (0.007) Loss 1.5772 (1.4151) Prec@1 65.625 (67.296) Prec@5 85.938 (86.229) Epoch: [64][580/10010] Time 0.313 (0.332) Data 0.001 (0.007) Loss 1.5594 (1.4168) Prec@1 64.844 (67.241) Prec@5 85.938 (86.188) /data/vision/torralba/deepscene/lib/anaconda2/lib/python2.7/site-packages/PIL/TiffImagePlugin.py:692: UserWarning: Possibly corrupt EXIF data. Expecting to read 2555904 bytes but only got 0. Skipping tag 0 "Skipping tag %s" % (size, len(data), tag)) Epoch: [64][590/10010] Time 0.335 (0.332) Data 0.001 (0.007) Loss 1.5850 (1.4164) Prec@1 60.156 (67.269) Prec@5 82.812 (86.194) Epoch: [64][600/10010] Time 0.331 (0.332) Data 0.001 (0.007) Loss 1.5682 (1.4181) Prec@1 69.531 (67.232) Prec@5 82.031 (86.164) Epoch: [64][610/10010] Time 0.322 (0.332) Data 0.001 (0.007) Loss 1.4628 (1.4193) Prec@1 64.062 (67.193) Prec@5 89.062 (86.138) Epoch: [64][620/10010] Time 0.320 (0.332) Data 0.001 (0.007) Loss 1.5188 (1.4206) Prec@1 67.188 (67.175) Prec@5 85.156 (86.112) Epoch: [64][630/10010] Time 0.319 (0.332) Data 0.000 (0.007) Loss 1.5256 (1.4206) Prec@1 64.844 (67.183) Prec@5 84.375 (86.110) Epoch: [64][640/10010] Time 0.316 (0.331) Data 0.001 (0.007) Loss 1.4801 (1.4218) Prec@1 75.000 (67.184) Prec@5 84.375 (86.070) Epoch: [64][650/10010] Time 0.345 (0.331) Data 0.000 (0.007) Loss 1.3771 (1.4216) Prec@1 68.750 (67.201) Prec@5 85.938 (86.061) Epoch: [64][660/10010] Time 0.312 (0.331) Data 0.000 (0.006) Loss 1.3969 (1.4211) Prec@1 71.094 (67.219) Prec@5 85.938 (86.075) Epoch: [64][670/10010] Time 0.337 (0.331) Data 0.001 (0.006) Loss 1.5864 (1.4212) Prec@1 66.406 (67.204) Prec@5 82.031 (86.087) Epoch: [64][680/10010] Time 0.333 (0.331) Data 0.001 (0.006) Loss 1.5093 (1.4208) Prec@1 64.844 (67.198) Prec@5 81.250 (86.090) Epoch: [64][690/10010] Time 0.337 (0.331) Data 0.000 (0.006) Loss 1.1179 (1.4207) Prec@1 75.781 (67.188) Prec@5 91.406 (86.097) Epoch: [64][700/10010] Time 0.330 (0.331) Data 0.000 (0.006) Loss 1.4144 (1.4199) Prec@1 69.531 (67.209) Prec@5 85.156 (86.098) Epoch: [64][710/10010] Time 0.341 (0.331) Data 0.000 (0.006) Loss 1.4350 (1.4195) Prec@1 67.969 (67.215) Prec@5 87.500 (86.102) Epoch: [64][720/10010] Time 0.323 (0.331) Data 0.000 (0.006) Loss 1.3592 (1.4195) Prec@1 67.188 (67.218) Prec@5 86.719 (86.104) Epoch: [64][730/10010] Time 0.308 (0.331) Data 0.001 (0.006) Loss 1.4310 (1.4194) Prec@1 67.969 (67.220) Prec@5 86.719 (86.097) Epoch: [64][740/10010] Time 0.330 (0.331) Data 0.000 (0.006) Loss 1.4566 (1.4196) Prec@1 69.531 (67.214) Prec@5 84.375 (86.098) Epoch: [64][750/10010] Time 0.326 (0.331) Data 0.001 (0.006) Loss 1.3141 (1.4185) Prec@1 69.531 (67.250) Prec@5 89.062 (86.122) Epoch: [64][760/10010] Time 0.321 (0.331) Data 0.000 (0.006) Loss 1.4117 (1.4189) Prec@1 67.969 (67.240) Prec@5 85.156 (86.097) Epoch: [64][770/10010] Time 0.333 (0.331) Data 0.001 (0.006) Loss 1.6151 (1.4193) Prec@1 67.969 (67.238) Prec@5 82.812 (86.094) Epoch: [64][780/10010] Time 0.321 (0.331) Data 0.001 (0.006) Loss 1.5003 (1.4182) Prec@1 64.062 (67.259) Prec@5 83.594 (86.101) Epoch: [64][790/10010] Time 0.330 (0.331) Data 0.000 (0.005) Loss 1.2987 (1.4174) Prec@1 67.969 (67.274) Prec@5 89.062 (86.112) Epoch: [64][800/10010] Time 0.340 (0.331) Data 0.000 (0.005) Loss 1.5603 (1.4170) Prec@1 64.844 (67.268) Prec@5 82.031 (86.126) Epoch: [64][810/10010] Time 0.317 (0.331) Data 0.001 (0.005) Loss 1.3936 (1.4173) Prec@1 69.531 (67.269) Prec@5 87.500 (86.124) Epoch: [64][820/10010] Time 0.318 (0.330) Data 0.001 (0.005) Loss 1.3576 (1.4174) Prec@1 66.406 (67.280) Prec@5 88.281 (86.123) Epoch: [64][830/10010] Time 0.323 (0.330) Data 0.000 (0.005) Loss 1.3432 (1.4184) Prec@1 72.656 (67.253) Prec@5 85.938 (86.101) /data/vision/torralba/deepscene/lib/anaconda2/lib/python2.7/site-packages/PIL/TiffImagePlugin.py:709: UserWarning: Corrupt EXIF data. Expecting to read 4 bytes but only got 0. warnings.warn(str(msg)) Epoch: [64][840/10010] Time 0.320 (0.330) Data 0.001 (0.005) Loss 1.4615 (1.4188) Prec@1 69.531 (67.243) Prec@5 89.844 (86.090) Epoch: [64][850/10010] Time 0.322 (0.330) Data 0.001 (0.005) Loss 1.5118 (1.4188) Prec@1 64.062 (67.235) Prec@5 82.812 (86.083) Epoch: [64][860/10010] Time 0.317 (0.330) Data 0.001 (0.005) Loss 1.2098 (1.4191) Prec@1 71.094 (67.217) Prec@5 89.062 (86.068) Epoch: [64][870/10010] Time 0.334 (0.330) Data 0.001 (0.005) Loss 1.1572 (1.4185) Prec@1 73.438 (67.235) Prec@5 89.844 (86.086) Epoch: [64][880/10010] Time 0.327 (0.330) Data 0.001 (0.005) Loss 1.5464 (1.4182) Prec@1 67.969 (67.249) Prec@5 82.812 (86.096) Epoch: [64][890/10010] Time 0.342 (0.330) Data 0.001 (0.005) Loss 1.4120 (1.4176) Prec@1 70.312 (67.271) Prec@5 85.156 (86.108) Epoch: [64][900/10010] Time 0.339 (0.330) Data 0.000 (0.005) Loss 1.6430 (1.4182) Prec@1 64.844 (67.263) Prec@5 84.375 (86.098) Epoch: [64][910/10010] Time 0.328 (0.330) Data 0.001 (0.005) Loss 1.5403 (1.4182) Prec@1 64.062 (67.267) Prec@5 82.031 (86.104) Epoch: [64][920/10010] Time 0.326 (0.330) Data 0.001 (0.005) Loss 1.4969 (1.4179) Prec@1 65.625 (67.271) Prec@5 84.375 (86.113) Epoch: [64][930/10010] Time 0.333 (0.330) Data 0.000 (0.005) Loss 1.7559 (1.4194) Prec@1 60.156 (67.229) Prec@5 80.469 (86.073) Epoch: [64][940/10010] Time 0.324 (0.330) Data 0.001 (0.005) Loss 1.3190 (1.4188) Prec@1 71.875 (67.242) Prec@5 88.281 (86.081) Epoch: [64][950/10010] Time 0.318 (0.330) Data 0.001 (0.005) Loss 1.5375 (1.4199) Prec@1 67.969 (67.231) Prec@5 82.031 (86.054) Epoch: [64][960/10010] Time 0.320 (0.330) Data 0.001 (0.005) Loss 1.2590 (1.4195) Prec@1 67.969 (67.235) Prec@5 90.625 (86.071) Epoch: [64][970/10010] Time 0.339 (0.330) Data 0.000 (0.005) Loss 1.4169 (1.4192) Prec@1 68.750 (67.251) Prec@5 83.594 (86.068) Epoch: [64][980/10010] Time 0.335 (0.330) Data 0.001 (0.005) Loss 1.5499 (1.4196) Prec@1 66.406 (67.242) Prec@5 85.938 (86.067) Epoch: [64][990/10010] Time 0.321 (0.330) Data 0.001 (0.005) Loss 1.4731 (1.4200) Prec@1 69.531 (67.233) Prec@5 85.938 (86.073) Epoch: [64][1000/10010] Time 0.338 (0.330) Data 0.001 (0.004) Loss 1.3462 (1.4190) Prec@1 71.094 (67.255) Prec@5 86.719 (86.088) Epoch: [64][1010/10010] Time 0.316 (0.330) Data 0.000 (0.004) Loss 1.4118 (1.4189) Prec@1 68.750 (67.272) Prec@5 82.031 (86.085) Epoch: [64][1020/10010] Time 0.326 (0.330) Data 0.000 (0.004) Loss 1.7206 (1.4192) Prec@1 64.062 (67.259) Prec@5 80.469 (86.093) Epoch: [64][1030/10010] Time 0.321 (0.330) Data 0.001 (0.004) Loss 1.3619 (1.4178) Prec@1 71.094 (67.298) Prec@5 89.844 (86.106) Epoch: [64][1040/10010] Time 0.322 (0.330) Data 0.001 (0.004) Loss 1.3635 (1.4175) Prec@1 71.875 (67.322) Prec@5 84.375 (86.105) Epoch: [64][1050/10010] Time 0.324 (0.330) Data 0.000 (0.004) Loss 1.4537 (1.4175) Prec@1 67.188 (67.317) Prec@5 84.375 (86.103) Epoch: [64][1060/10010] Time 0.312 (0.330) Data 0.001 (0.004) Loss 1.4014 (1.4176) Prec@1 63.281 (67.306) Prec@5 89.062 (86.110) Epoch: [64][1070/10010] Time 0.319 (0.330) Data 0.001 (0.004) Loss 1.3771 (1.4183) Prec@1 69.531 (67.283) Prec@5 86.719 (86.102) Epoch: [64][1080/10010] Time 0.317 (0.330) Data 0.001 (0.004) Loss 1.6936 (1.4186) Prec@1 64.062 (67.282) Prec@5 80.469 (86.094) Epoch: [64][1090/10010] Time 0.330 (0.330) Data 0.000 (0.004) Loss 1.2368 (1.4195) Prec@1 67.969 (67.273) Prec@5 88.281 (86.081) Epoch: [64][1100/10010] Time 0.339 (0.330) Data 0.001 (0.004) Loss 1.6701 (1.4200) Prec@1 60.156 (67.242) Prec@5 84.375 (86.077) Epoch: [64][1110/10010] Time 0.320 (0.330) Data 0.001 (0.004) Loss 1.4620 (1.4197) Prec@1 69.531 (67.243) Prec@5 88.281 (86.083) Epoch: [64][1120/10010] Time 0.322 (0.330) Data 0.001 (0.004) Loss 1.7381 (1.4202) Prec@1 58.594 (67.233) Prec@5 78.906 (86.081) Epoch: [64][1130/10010] Time 0.317 (0.330) Data 0.001 (0.004) Loss 1.2187 (1.4203) Prec@1 67.188 (67.213) Prec@5 87.500 (86.077) Epoch: [64][1140/10010] Time 0.333 (0.330) Data 0.001 (0.004) Loss 1.4275 (1.4216) Prec@1 67.969 (67.186) Prec@5 88.281 (86.063) Epoch: [64][1150/10010] Time 0.319 (0.330) Data 0.001 (0.004) Loss 1.4236 (1.4218) Prec@1 63.281 (67.177) Prec@5 86.719 (86.064) Epoch: [64][1160/10010] Time 0.322 (0.329) Data 0.001 (0.004) Loss 1.4787 (1.4218) Prec@1 67.969 (67.185) Prec@5 85.938 (86.063) Epoch: [64][1170/10010] Time 0.340 (0.329) Data 0.001 (0.004) Loss 1.5254 (1.4215) Prec@1 67.188 (67.192) Prec@5 82.812 (86.060) Epoch: [64][1180/10010] Time 0.337 (0.329) Data 0.001 (0.004) Loss 1.4985 (1.4214) Prec@1 69.531 (67.197) Prec@5 85.156 (86.062) Epoch: [64][1190/10010] Time 0.317 (0.329) Data 0.001 (0.004) Loss 1.1880 (1.4209) Prec@1 75.000 (67.207) Prec@5 89.844 (86.067) Epoch: [64][1200/10010] Time 0.321 (0.329) Data 0.000 (0.004) Loss 1.5122 (1.4214) Prec@1 58.594 (67.187) Prec@5 82.812 (86.065) Epoch: [64][1210/10010] Time 0.341 (0.329) Data 0.001 (0.004) Loss 1.2322 (1.4209) Prec@1 75.000 (67.196) Prec@5 89.844 (86.067) Epoch: [64][1220/10010] Time 0.327 (0.329) Data 0.001 (0.004) Loss 1.6240 (1.4208) Prec@1 62.500 (67.193) Prec@5 81.250 (86.068) Epoch: [64][1230/10010] Time 0.318 (0.329) Data 0.000 (0.004) Loss 1.3824 (1.4215) Prec@1 64.844 (67.176) Prec@5 85.156 (86.060) Epoch: [64][1240/10010] Time 0.327 (0.329) Data 0.001 (0.004) Loss 1.4437 (1.4220) Prec@1 70.312 (67.176) Prec@5 85.938 (86.051) Epoch: [64][1250/10010] Time 0.321 (0.329) Data 0.001 (0.004) Loss 1.4747 (1.4218) Prec@1 66.406 (67.176) Prec@5 85.156 (86.051) Epoch: [64][1260/10010] Time 0.327 (0.329) Data 0.001 (0.004) Loss 1.4470 (1.4209) Prec@1 67.188 (67.192) Prec@5 85.156 (86.059) Epoch: [64][1270/10010] Time 0.316 (0.329) Data 0.001 (0.004) Loss 1.5018 (1.4218) Prec@1 64.844 (67.177) Prec@5 87.500 (86.056) Epoch: [64][1280/10010] Time 0.329 (0.329) Data 0.001 (0.004) Loss 1.4730 (1.4216) Prec@1 64.844 (67.195) Prec@5 87.500 (86.058) Epoch: [64][1290/10010] Time 0.340 (0.329) Data 0.001 (0.004) Loss 1.5731 (1.4213) Prec@1 62.500 (67.198) Prec@5 85.156 (86.067) Epoch: [64][1300/10010] Time 0.319 (0.329) Data 0.001 (0.004) Loss 1.3988 (1.4213) Prec@1 69.531 (67.202) Prec@5 86.719 (86.071) Epoch: [64][1310/10010] Time 0.325 (0.329) Data 0.001 (0.004) Loss 1.4273 (1.4213) Prec@1 59.375 (67.196) Prec@5 87.500 (86.077) Epoch: [64][1320/10010] Time 0.331 (0.329) Data 0.000 (0.004) Loss 1.4960 (1.4213) Prec@1 68.750 (67.191) Prec@5 84.375 (86.078) Epoch: [64][1330/10010] Time 0.312 (0.329) Data 0.001 (0.004) Loss 1.4516 (1.4222) Prec@1 69.531 (67.177) Prec@5 85.938 (86.066) Epoch: [64][1340/10010] Time 0.319 (0.329) Data 0.001 (0.004) Loss 1.3429 (1.4225) Prec@1 72.656 (67.175) Prec@5 90.625 (86.065) Epoch: [64][1350/10010] Time 0.326 (0.329) Data 0.000 (0.003) Loss 1.4707 (1.4226) Prec@1 63.281 (67.172) Prec@5 86.719 (86.057) Epoch: [64][1360/10010] Time 0.329 (0.329) Data 0.000 (0.003) Loss 1.3033 (1.4233) Prec@1 77.344 (67.157) Prec@5 89.062 (86.051) Epoch: [64][1370/10010] Time 0.337 (0.329) Data 0.001 (0.003) Loss 1.3971 (1.4231) Prec@1 69.531 (67.158) Prec@5 87.500 (86.051) Epoch: [64][1380/10010] Time 0.331 (0.329) Data 0.001 (0.003) Loss 1.3724 (1.4229) Prec@1 65.625 (67.158) Prec@5 89.062 (86.056) Epoch: [64][1390/10010] Time 0.329 (0.329) Data 0.001 (0.003) Loss 1.4638 (1.4228) Prec@1 64.844 (67.157) Prec@5 84.375 (86.060) Epoch: [64][1400/10010] Time 0.332 (0.329) Data 0.001 (0.003) Loss 1.5048 (1.4224) Prec@1 66.406 (67.165) Prec@5 85.938 (86.070) Epoch: [64][1410/10010] Time 0.328 (0.329) Data 0.001 (0.003) Loss 1.5718 (1.4226) Prec@1 62.500 (67.163) Prec@5 84.375 (86.060) Epoch: [64][1420/10010] Time 0.315 (0.329) Data 0.000 (0.003) Loss 1.6718 (1.4227) Prec@1 63.281 (67.164) Prec@5 84.375 (86.061) Epoch: [64][1430/10010] Time 0.320 (0.329) Data 0.001 (0.003) Loss 1.5107 (1.4222) Prec@1 69.531 (67.172) Prec@5 82.031 (86.060) Epoch: [64][1440/10010] Time 0.324 (0.329) Data 0.001 (0.003) Loss 1.5190 (1.4225) Prec@1 66.406 (67.167) Prec@5 83.594 (86.048) Epoch: [64][1450/10010] Time 0.318 (0.329) Data 0.001 (0.003) Loss 1.4632 (1.4230) Prec@1 67.969 (67.157) Prec@5 83.594 (86.041) Epoch: [64][1460/10010] Time 0.321 (0.329) Data 0.001 (0.003) Loss 1.5178 (1.4232) Prec@1 68.750 (67.159) Prec@5 83.594 (86.037) Epoch: [64][1470/10010] Time 0.311 (0.329) Data 0.001 (0.003) Loss 1.4188 (1.4230) Prec@1 70.312 (67.160) Prec@5 85.938 (86.034) Epoch: [64][1480/10010] Time 0.329 (0.329) Data 0.000 (0.003) Loss 1.7485 (1.4233) Prec@1 58.594 (67.150) Prec@5 81.250 (86.028) Epoch: [64][1490/10010] Time 0.323 (0.329) Data 0.001 (0.003) Loss 1.5145 (1.4235) Prec@1 67.188 (67.151) Prec@5 84.375 (86.031) Epoch: [64][1500/10010] Time 0.321 (0.329) Data 0.000 (0.003) Loss 1.6724 (1.4239) Prec@1 64.844 (67.138) Prec@5 80.469 (86.021) Epoch: [64][1510/10010] Time 0.343 (0.329) Data 0.001 (0.003) Loss 1.5232 (1.4243) Prec@1 67.969 (67.126) Prec@5 85.938 (86.014) Epoch: [64][1520/10010] Time 0.334 (0.329) Data 0.001 (0.003) Loss 1.0840 (1.4236) Prec@1 69.531 (67.146) Prec@5 89.844 (86.021) Epoch: [64][1530/10010] Time 0.334 (0.329) Data 0.001 (0.003) Loss 1.4058 (1.4230) Prec@1 62.500 (67.162) Prec@5 86.719 (86.029) Epoch: [64][1540/10010] Time 0.335 (0.329) Data 0.000 (0.003) Loss 1.5611 (1.4238) Prec@1 64.844 (67.148) Prec@5 82.812 (86.021) Epoch: [64][1550/10010] Time 0.336 (0.329) Data 0.001 (0.003) Loss 1.3851 (1.4237) Prec@1 64.062 (67.142) Prec@5 84.375 (86.023) Epoch: [64][1560/10010] Time 0.319 (0.329) Data 0.000 (0.003) Loss 1.4319 (1.4239) Prec@1 68.750 (67.140) Prec@5 82.812 (86.016) Epoch: [64][1570/10010] Time 0.314 (0.329) Data 0.001 (0.003) Loss 1.4281 (1.4236) Prec@1 70.312 (67.146) Prec@5 89.062 (86.019) Epoch: [64][1580/10010] Time 0.316 (0.329) Data 0.001 (0.003) Loss 1.3956 (1.4230) Prec@1 64.062 (67.161) Prec@5 84.375 (86.032) Epoch: [64][1590/10010] Time 0.334 (0.329) Data 0.001 (0.003) Loss 1.7372 (1.4232) Prec@1 65.625 (67.169) Prec@5 78.125 (86.029) Epoch: [64][1600/10010] Time 0.318 (0.329) Data 0.001 (0.003) Loss 1.3092 (1.4232) Prec@1 67.969 (67.167) Prec@5 88.281 (86.032) Epoch: [64][1610/10010] Time 0.315 (0.328) Data 0.001 (0.003) Loss 1.0926 (1.4228) Prec@1 76.562 (67.181) Prec@5 91.406 (86.037) Epoch: [64][1620/10010] Time 0.333 (0.328) Data 0.001 (0.003) Loss 1.2981 (1.4225) Prec@1 69.531 (67.195) Prec@5 87.500 (86.036) Epoch: [64][1630/10010] Time 0.317 (0.328) Data 0.001 (0.003) Loss 1.3875 (1.4224) Prec@1 65.625 (67.192) Prec@5 87.500 (86.041) Epoch: [64][1640/10010] Time 0.338 (0.328) Data 0.001 (0.003) Loss 1.4820 (1.4230) Prec@1 64.844 (67.182) Prec@5 85.156 (86.034) Epoch: [64][1650/10010] Time 0.323 (0.328) Data 0.001 (0.003) Loss 1.4304 (1.4235) Prec@1 64.062 (67.176) Prec@5 88.281 (86.032) Epoch: [64][1660/10010] Time 0.317 (0.328) Data 0.001 (0.003) Loss 1.4047 (1.4234) Prec@1 68.750 (67.177) Prec@5 86.719 (86.036) Epoch: [64][1670/10010] Time 0.330 (0.328) Data 0.001 (0.003) Loss 1.6101 (1.4233) Prec@1 57.031 (67.173) Prec@5 82.812 (86.036) Epoch: [64][1680/10010] Time 0.340 (0.328) Data 0.001 (0.003) Loss 1.3490 (1.4236) Prec@1 66.406 (67.166) Prec@5 87.500 (86.033) Epoch: [64][1690/10010] Time 0.332 (0.328) Data 0.001 (0.003) Loss 1.4044 (1.4236) Prec@1 70.312 (67.172) Prec@5 85.156 (86.033) Epoch: [64][1700/10010] Time 0.329 (0.328) Data 0.001 (0.003) Loss 1.5019 (1.4235) Prec@1 67.969 (67.176) Prec@5 84.375 (86.033) Epoch: [64][1710/10010] Time 0.328 (0.328) Data 0.001 (0.003) Loss 1.6977 (1.4235) Prec@1 62.500 (67.172) Prec@5 83.594 (86.036) Epoch: [64][1720/10010] Time 0.327 (0.328) Data 0.001 (0.003) Loss 1.3269 (1.4232) Prec@1 67.969 (67.178) Prec@5 88.281 (86.042) Epoch: [64][1730/10010] Time 0.325 (0.329) Data 0.001 (0.003) Loss 1.3205 (1.4232) Prec@1 71.875 (67.178) Prec@5 85.156 (86.034) Epoch: [64][1740/10010] Time 0.322 (0.328) Data 0.000 (0.003) Loss 1.6097 (1.4233) Prec@1 64.062 (67.178) Prec@5 84.375 (86.033) Epoch: [64][1750/10010] Time 0.323 (0.328) Data 0.000 (0.003) Loss 1.2209 (1.4232) Prec@1 71.094 (67.185) Prec@5 89.844 (86.037) Epoch: [64][1760/10010] Time 0.320 (0.328) Data 0.001 (0.003) Loss 1.4415 (1.4235) Prec@1 62.500 (67.176) Prec@5 87.500 (86.031) Epoch: [64][1770/10010] Time 0.342 (0.328) Data 0.000 (0.003) Loss 1.5753 (1.4234) Prec@1 60.938 (67.177) Prec@5 83.594 (86.032) Epoch: [64][1780/10010] Time 0.315 (0.328) Data 0.001 (0.003) Loss 1.2285 (1.4233) Prec@1 72.656 (67.179) Prec@5 90.625 (86.034) Epoch: [64][1790/10010] Time 0.336 (0.328) Data 0.000 (0.003) Loss 1.6794 (1.4232) Prec@1 64.062 (67.186) Prec@5 82.031 (86.038) Epoch: [64][1800/10010] Time 0.318 (0.328) Data 0.001 (0.003) Loss 1.2301 (1.4232) Prec@1 71.094 (67.179) Prec@5 91.406 (86.045) Epoch: [64][1810/10010] Time 0.319 (0.328) Data 0.001 (0.003) Loss 1.4053 (1.4230) Prec@1 67.969 (67.179) Prec@5 85.938 (86.053) Epoch: [64][1820/10010] Time 0.337 (0.328) Data 0.001 (0.003) Loss 1.5062 (1.4232) Prec@1 64.844 (67.169) Prec@5 86.719 (86.049) Epoch: [64][1830/10010] Time 0.319 (0.328) Data 0.000 (0.003) Loss 1.4080 (1.4233) Prec@1 67.188 (67.167) Prec@5 85.938 (86.055) Epoch: [64][1840/10010] Time 0.319 (0.328) Data 0.001 (0.003) Loss 1.3578 (1.4234) Prec@1 66.406 (67.164) Prec@5 86.719 (86.052) Epoch: [64][1850/10010] Time 0.335 (0.328) Data 0.000 (0.003) Loss 1.4124 (1.4233) Prec@1 67.969 (67.176) Prec@5 83.594 (86.051) Epoch: [64][1860/10010] Time 0.323 (0.328) Data 0.000 (0.003) Loss 1.1909 (1.4231) Prec@1 75.781 (67.181) Prec@5 85.938 (86.053) Epoch: [64][1870/10010] Time 0.334 (0.328) Data 0.001 (0.003) Loss 1.5702 (1.4233) Prec@1 66.406 (67.181) Prec@5 81.250 (86.041) Epoch: [64][1880/10010] Time 0.320 (0.328) Data 0.001 (0.003) Loss 1.4333 (1.4233) Prec@1 67.188 (67.177) Prec@5 85.156 (86.041) Epoch: [64][1890/10010] Time 0.324 (0.328) Data 0.001 (0.003) Loss 1.3699 (1.4233) Prec@1 69.531 (67.178) Prec@5 87.500 (86.037) Epoch: [64][1900/10010] Time 0.313 (0.328) Data 0.001 (0.003) Loss 1.4192 (1.4234) Prec@1 66.406 (67.174) Prec@5 84.375 (86.033) Epoch: [64][1910/10010] Time 0.339 (0.328) Data 0.001 (0.003) Loss 1.4322 (1.4228) Prec@1 65.625 (67.182) Prec@5 83.594 (86.039) Epoch: [64][1920/10010] Time 0.337 (0.328) Data 0.001 (0.003) Loss 1.0670 (1.4230) Prec@1 75.781 (67.190) Prec@5 92.188 (86.034) Epoch: [64][1930/10010] Time 0.320 (0.328) Data 0.000 (0.003) Loss 1.4180 (1.4233) Prec@1 67.969 (67.185) Prec@5 82.812 (86.031) Epoch: [64][1940/10010] Time 0.319 (0.328) Data 0.001 (0.003) Loss 1.2519 (1.4232) Prec@1 69.531 (67.194) Prec@5 89.062 (86.032) Epoch: [64][1950/10010] Time 0.330 (0.328) Data 0.000 (0.003) Loss 1.5835 (1.4232) Prec@1 60.938 (67.192) Prec@5 84.375 (86.034) Epoch: [64][1960/10010] Time 0.314 (0.328) Data 0.001 (0.003) Loss 1.3447 (1.4231) Prec@1 69.531 (67.189) Prec@5 82.812 (86.030) Epoch: [64][1970/10010] Time 0.332 (0.328) Data 0.001 (0.003) Loss 1.4368 (1.4227) Prec@1 73.438 (67.196) Prec@5 85.156 (86.031) Epoch: [64][1980/10010] Time 0.339 (0.328) Data 0.001 (0.003) Loss 1.5772 (1.4228) Prec@1 64.062 (67.191) Prec@5 86.719 (86.030) Epoch: [64][1990/10010] Time 0.339 (0.328) Data 0.000 (0.003) Loss 1.4334 (1.4227) Prec@1 66.406 (67.191) Prec@5 88.281 (86.035) Epoch: [64][2000/10010] Time 0.332 (0.328) Data 0.000 (0.003) Loss 1.4026 (1.4230) Prec@1 62.500 (67.186) Prec@5 89.844 (86.032) Epoch: [64][2010/10010] Time 0.332 (0.328) Data 0.001 (0.003) Loss 1.5512 (1.4230) Prec@1 62.500 (67.182) Prec@5 84.375 (86.030) Epoch: [64][2020/10010] Time 0.331 (0.328) Data 0.001 (0.003) Loss 1.1680 (1.4226) Prec@1 72.656 (67.188) Prec@5 91.406 (86.040) Epoch: [64][2030/10010] Time 0.315 (0.328) Data 0.001 (0.003) Loss 1.3360 (1.4229) Prec@1 66.406 (67.179) Prec@5 85.156 (86.038) Epoch: [64][2040/10010] Time 0.319 (0.328) Data 0.001 (0.003) Loss 1.1191 (1.4226) Prec@1 75.000 (67.184) Prec@5 89.844 (86.037) Epoch: [64][2050/10010] Time 0.331 (0.328) Data 0.000 (0.003) Loss 1.6672 (1.4226) Prec@1 60.156 (67.183) Prec@5 82.812 (86.034) Epoch: [64][2060/10010] Time 0.319 (0.328) Data 0.000 (0.003) Loss 1.2580 (1.4221) Prec@1 64.062 (67.191) Prec@5 91.406 (86.044) Epoch: [64][2070/10010] Time 0.322 (0.328) Data 0.001 (0.003) Loss 1.5125 (1.4222) Prec@1 64.844 (67.191) Prec@5 82.812 (86.042) Epoch: [64][2080/10010] Time 0.323 (0.328) Data 0.001 (0.002) Loss 1.7008 (1.4223) Prec@1 64.844 (67.198) Prec@5 82.031 (86.041) Epoch: [64][2090/10010] Time 0.334 (0.328) Data 0.001 (0.002) Loss 1.6947 (1.4223) Prec@1 61.719 (67.197) Prec@5 86.719 (86.043) Epoch: [64][2100/10010] Time 0.328 (0.328) Data 0.001 (0.002) Loss 1.2470 (1.4225) Prec@1 69.531 (67.196) Prec@5 87.500 (86.037) Epoch: [64][2110/10010] Time 0.314 (0.328) Data 0.000 (0.002) Loss 1.8278 (1.4226) Prec@1 59.375 (67.197) Prec@5 78.125 (86.031) Epoch: [64][2120/10010] Time 0.319 (0.328) Data 0.001 (0.002) Loss 1.5383 (1.4225) Prec@1 60.938 (67.194) Prec@5 83.594 (86.033) Epoch: [64][2130/10010] Time 0.328 (0.328) Data 0.000 (0.002) Loss 1.4569 (1.4222) Prec@1 64.062 (67.200) Prec@5 89.844 (86.040) Epoch: [64][2140/10010] Time 0.325 (0.328) Data 0.000 (0.002) Loss 1.2411 (1.4221) Prec@1 69.531 (67.197) Prec@5 89.844 (86.041) Epoch: [64][2150/10010] Time 0.321 (0.328) Data 0.001 (0.002) Loss 1.3476 (1.4221) Prec@1 71.875 (67.190) Prec@5 87.500 (86.041) Epoch: [64][2160/10010] Time 0.323 (0.328) Data 0.001 (0.002) Loss 1.1307 (1.4220) Prec@1 69.531 (67.191) Prec@5 91.406 (86.043) Epoch: [64][2170/10010] Time 0.320 (0.328) Data 0.001 (0.002) Loss 1.3976 (1.4220) Prec@1 67.188 (67.195) Prec@5 85.156 (86.037) Epoch: [64][2180/10010] Time 0.329 (0.328) Data 0.000 (0.002) Loss 1.8019 (1.4219) Prec@1 59.375 (67.197) Prec@5 78.125 (86.032) Epoch: [64][2190/10010] Time 0.323 (0.328) Data 0.001 (0.002) Loss 1.6852 (1.4217) Prec@1 60.156 (67.200) Prec@5 80.469 (86.030) Epoch: [64][2200/10010] Time 0.323 (0.328) Data 0.000 (0.002) Loss 1.4681 (1.4219) Prec@1 70.312 (67.205) Prec@5 85.938 (86.028) Epoch: [64][2210/10010] Time 0.321 (0.328) Data 0.000 (0.002) Loss 1.3004 (1.4219) Prec@1 67.188 (67.202) Prec@5 85.938 (86.029) Epoch: [64][2220/10010] Time 0.326 (0.328) Data 0.001 (0.002) Loss 1.4582 (1.4222) Prec@1 65.625 (67.199) Prec@5 85.938 (86.020) Epoch: [64][2230/10010] Time 0.327 (0.328) Data 0.001 (0.002) Loss 1.4187 (1.4223) Prec@1 65.625 (67.192) Prec@5 85.938 (86.016) Epoch: [64][2240/10010] Time 0.335 (0.328) Data 0.000 (0.002) Loss 1.4752 (1.4223) Prec@1 66.406 (67.194) Prec@5 85.938 (86.014) Epoch: [64][2250/10010] Time 0.321 (0.328) Data 0.001 (0.002) Loss 1.2219 (1.4223) Prec@1 72.656 (67.194) Prec@5 89.062 (86.018) Epoch: [64][2260/10010] Time 0.318 (0.328) Data 0.000 (0.002) Loss 1.3455 (1.4224) Prec@1 71.094 (67.190) Prec@5 85.938 (86.014) Epoch: [64][2270/10010] Time 0.338 (0.328) Data 0.001 (0.002) Loss 1.3664 (1.4223) Prec@1 70.312 (67.198) Prec@5 88.281 (86.016) Epoch: [64][2280/10010] Time 0.339 (0.328) Data 0.000 (0.002) Loss 1.3026 (1.4222) Prec@1 72.656 (67.199) Prec@5 90.625 (86.015) Epoch: [64][2290/10010] Time 0.322 (0.328) Data 0.001 (0.002) Loss 1.6306 (1.4226) Prec@1 59.375 (67.191) Prec@5 83.594 (86.008) Epoch: [64][2300/10010] Time 0.316 (0.327) Data 0.001 (0.002) Loss 1.1734 (1.4224) Prec@1 67.969 (67.189) Prec@5 91.406 (86.014) Epoch: [64][2310/10010] Time 0.322 (0.327) Data 0.001 (0.002) Loss 1.3877 (1.4221) Prec@1 67.969 (67.186) Prec@5 85.938 (86.015) Epoch: [64][2320/10010] Time 0.337 (0.327) Data 0.001 (0.002) Loss 1.0749 (1.4226) Prec@1 75.000 (67.170) Prec@5 92.188 (86.010) Epoch: [64][2330/10010] Time 0.337 (0.327) Data 0.001 (0.002) Loss 1.2221 (1.4226) Prec@1 71.875 (67.173) Prec@5 89.844 (86.012) Epoch: [64][2340/10010] Time 0.325 (0.327) Data 0.001 (0.002) Loss 1.3077 (1.4226) Prec@1 70.312 (67.174) Prec@5 87.500 (86.019) Epoch: [64][2350/10010] Time 0.316 (0.327) Data 0.001 (0.002) Loss 1.4041 (1.4226) Prec@1 64.844 (67.172) Prec@5 89.062 (86.019) Epoch: [64][2360/10010] Time 0.338 (0.327) Data 0.001 (0.002) Loss 1.4227 (1.4226) Prec@1 67.969 (67.172) Prec@5 85.156 (86.019) Epoch: [64][2370/10010] Time 0.327 (0.327) Data 0.000 (0.002) Loss 1.2479 (1.4228) Prec@1 69.531 (67.171) Prec@5 89.844 (86.018) Epoch: [64][2380/10010] Time 0.332 (0.327) Data 0.001 (0.002) Loss 1.6472 (1.4228) Prec@1 64.844 (67.167) Prec@5 82.812 (86.018) Epoch: [64][2390/10010] Time 0.314 (0.327) Data 0.001 (0.002) Loss 1.3731 (1.4226) Prec@1 69.531 (67.171) Prec@5 83.594 (86.020) Epoch: [64][2400/10010] Time 0.323 (0.327) Data 0.000 (0.002) Loss 1.4253 (1.4225) Prec@1 65.625 (67.167) Prec@5 86.719 (86.027) Epoch: [64][2410/10010] Time 0.338 (0.327) Data 0.001 (0.002) Loss 1.2585 (1.4225) Prec@1 67.969 (67.165) Prec@5 88.281 (86.026) Epoch: [64][2420/10010] Time 0.325 (0.327) Data 0.000 (0.002) Loss 1.4769 (1.4223) Prec@1 66.406 (67.171) Prec@5 84.375 (86.028) Epoch: [64][2430/10010] Time 0.324 (0.327) Data 0.001 (0.002) Loss 1.3805 (1.4223) Prec@1 70.312 (67.171) Prec@5 85.938 (86.028) Epoch: [64][2440/10010] Time 0.328 (0.327) Data 0.001 (0.002) Loss 1.2093 (1.4221) Prec@1 69.531 (67.174) Prec@5 88.281 (86.032) Epoch: [64][2450/10010] Time 0.329 (0.327) Data 0.001 (0.002) Loss 1.3019 (1.4222) Prec@1 74.219 (67.174) Prec@5 87.500 (86.031) Epoch: [64][2460/10010] Time 0.328 (0.327) Data 0.001 (0.002) Loss 1.2325 (1.4225) Prec@1 71.875 (67.168) Prec@5 85.938 (86.026) Epoch: [64][2470/10010] Time 0.320 (0.327) Data 0.001 (0.002) Loss 1.4951 (1.4229) Prec@1 66.406 (67.155) Prec@5 85.156 (86.022) Epoch: [64][2480/10010] Time 0.335 (0.327) Data 0.001 (0.002) Loss 1.4574 (1.4231) Prec@1 65.625 (67.151) Prec@5 85.156 (86.023) Epoch: [64][2490/10010] Time 0.315 (0.327) Data 0.001 (0.002) Loss 1.5681 (1.4229) Prec@1 63.281 (67.156) Prec@5 83.594 (86.026) Epoch: [64][2500/10010] Time 0.329 (0.327) Data 0.001 (0.002) Loss 1.3152 (1.4229) Prec@1 62.500 (67.148) Prec@5 88.281 (86.021) Epoch: [64][2510/10010] Time 0.322 (0.327) Data 0.001 (0.002) Loss 1.5919 (1.4233) Prec@1 64.062 (67.141) Prec@5 83.594 (86.021) Epoch: [64][2520/10010] Time 0.322 (0.327) Data 0.001 (0.002) Loss 1.4815 (1.4233) Prec@1 67.969 (67.142) Prec@5 82.031 (86.021) Epoch: [64][2530/10010] Time 0.322 (0.327) Data 0.001 (0.002) Loss 1.3541 (1.4235) Prec@1 72.656 (67.143) Prec@5 85.938 (86.021) Epoch: [64][2540/10010] Time 0.325 (0.327) Data 0.000 (0.002) Loss 1.4277 (1.4235) Prec@1 66.406 (67.144) Prec@5 87.500 (86.022) Epoch: [64][2550/10010] Time 0.334 (0.327) Data 0.000 (0.002) Loss 1.7966 (1.4236) Prec@1 64.062 (67.149) Prec@5 83.594 (86.024) Epoch: [64][2560/10010] Time 0.328 (0.327) Data 0.001 (0.002) Loss 1.3962 (1.4235) Prec@1 57.812 (67.148) Prec@5 86.719 (86.027) Epoch: [64][2570/10010] Time 0.335 (0.327) Data 0.000 (0.002) Loss 1.5077 (1.4238) Prec@1 65.625 (67.146) Prec@5 83.594 (86.020) Epoch: [64][2580/10010] Time 0.313 (0.327) Data 0.001 (0.002) Loss 1.5192 (1.4236) Prec@1 66.406 (67.151) Prec@5 85.938 (86.025) Epoch: [64][2590/10010] Time 0.326 (0.327) Data 0.001 (0.002) Loss 1.1464 (1.4235) Prec@1 73.438 (67.155) Prec@5 92.969 (86.021) Epoch: [64][2600/10010] Time 0.336 (0.327) Data 0.001 (0.002) Loss 1.1142 (1.4231) Prec@1 73.438 (67.161) Prec@5 89.844 (86.026) Epoch: [64][2610/10010] Time 0.310 (0.327) Data 0.000 (0.002) Loss 1.4592 (1.4234) Prec@1 69.531 (67.159) Prec@5 82.812 (86.024) Epoch: [64][2620/10010] Time 0.317 (0.327) Data 0.001 (0.002) Loss 1.2759 (1.4232) Prec@1 69.531 (67.164) Prec@5 88.281 (86.023) Epoch: [64][2630/10010] Time 0.320 (0.327) Data 0.001 (0.002) Loss 1.3510 (1.4233) Prec@1 67.188 (67.163) Prec@5 89.062 (86.024) Epoch: [64][2640/10010] Time 0.338 (0.327) Data 0.000 (0.002) Loss 1.4922 (1.4234) Prec@1 67.969 (67.165) Prec@5 85.156 (86.024) Epoch: [64][2650/10010] Time 0.329 (0.327) Data 0.001 (0.002) Loss 1.2416 (1.4236) Prec@1 67.188 (67.162) Prec@5 89.844 (86.021) Epoch: [64][2660/10010] Time 0.326 (0.327) Data 0.001 (0.002) Loss 1.4683 (1.4234) Prec@1 66.406 (67.163) Prec@5 84.375 (86.026) Epoch: [64][2670/10010] Time 0.321 (0.327) Data 0.001 (0.002) Loss 1.1133 (1.4233) Prec@1 75.781 (67.167) Prec@5 90.625 (86.027) Epoch: [64][2680/10010] Time 0.338 (0.327) Data 0.001 (0.002) Loss 1.2672 (1.4234) Prec@1 70.312 (67.160) Prec@5 89.062 (86.026) Epoch: [64][2690/10010] Time 0.316 (0.327) Data 0.001 (0.002) Loss 1.2434 (1.4235) Prec@1 67.969 (67.152) Prec@5 89.844 (86.027) Epoch: [64][2700/10010] Time 0.325 (0.327) Data 0.000 (0.002) Loss 1.7840 (1.4234) Prec@1 60.938 (67.155) Prec@5 79.688 (86.025) Epoch: [64][2710/10010] Time 0.336 (0.327) Data 0.001 (0.002) Loss 1.1485 (1.4233) Prec@1 71.094 (67.158) Prec@5 89.062 (86.027) Epoch: [64][2720/10010] Time 0.324 (0.327) Data 0.000 (0.002) Loss 1.3314 (1.4232) Prec@1 68.750 (67.162) Prec@5 85.938 (86.026) Epoch: [64][2730/10010] Time 0.312 (0.327) Data 0.001 (0.002) Loss 1.5597 (1.4230) Prec@1 61.719 (67.164) Prec@5 81.250 (86.029) Epoch: [64][2740/10010] Time 0.319 (0.327) Data 0.001 (0.002) Loss 1.6969 (1.4229) Prec@1 62.500 (67.167) Prec@5 80.469 (86.028) Epoch: [64][2750/10010] Time 0.322 (0.327) Data 0.001 (0.002) Loss 1.3708 (1.4227) Prec@1 72.656 (67.172) Prec@5 84.375 (86.031) Epoch: [64][2760/10010] Time 0.324 (0.327) Data 0.001 (0.002) Loss 1.8366 (1.4229) Prec@1 57.031 (67.172) Prec@5 79.688 (86.031) Epoch: [64][2770/10010] Time 0.313 (0.327) Data 0.001 (0.002) Loss 1.3318 (1.4230) Prec@1 68.750 (67.168) Prec@5 89.062 (86.033) Epoch: [64][2780/10010] Time 0.324 (0.327) Data 0.001 (0.002) Loss 1.2369 (1.4228) Prec@1 71.094 (67.174) Prec@5 88.281 (86.033) Epoch: [64][2790/10010] Time 0.314 (0.327) Data 0.001 (0.002) Loss 1.4157 (1.4225) Prec@1 66.406 (67.180) Prec@5 85.938 (86.034) Epoch: [64][2800/10010] Time 0.323 (0.327) Data 0.000 (0.002) Loss 1.4916 (1.4229) Prec@1 62.500 (67.168) Prec@5 82.812 (86.027) Epoch: [64][2810/10010] Time 0.336 (0.327) Data 0.001 (0.002) Loss 1.4623 (1.4229) Prec@1 67.188 (67.167) Prec@5 88.281 (86.029) Epoch: [64][2820/10010] Time 0.330 (0.327) Data 0.001 (0.002) Loss 1.3909 (1.4227) Prec@1 66.406 (67.171) Prec@5 89.844 (86.035) Epoch: [64][2830/10010] Time 0.320 (0.327) Data 0.001 (0.002) Loss 1.4092 (1.4227) Prec@1 71.094 (67.175) Prec@5 85.938 (86.039) Epoch: [64][2840/10010] Time 0.328 (0.327) Data 0.000 (0.002) Loss 1.2553 (1.4225) Prec@1 70.312 (67.184) Prec@5 87.500 (86.040) Epoch: [64][2850/10010] Time 0.326 (0.327) Data 0.001 (0.002) Loss 1.5966 (1.4223) Prec@1 64.844 (67.187) Prec@5 84.375 (86.045) Epoch: [64][2860/10010] Time 0.320 (0.327) Data 0.001 (0.002) Loss 1.2194 (1.4223) Prec@1 73.438 (67.189) Prec@5 88.281 (86.045) Epoch: [64][2870/10010] Time 0.339 (0.327) Data 0.000 (0.002) Loss 1.2344 (1.4223) Prec@1 71.094 (67.191) Prec@5 89.062 (86.044) Epoch: [64][2880/10010] Time 0.323 (0.327) Data 0.001 (0.002) Loss 1.3029 (1.4223) Prec@1 73.438 (67.190) Prec@5 88.281 (86.046) Epoch: [64][2890/10010] Time 0.311 (0.327) Data 0.000 (0.002) Loss 1.4880 (1.4223) Prec@1 65.625 (67.191) Prec@5 85.938 (86.047) Epoch: [64][2900/10010] Time 0.318 (0.327) Data 0.001 (0.002) Loss 1.4724 (1.4221) Prec@1 69.531 (67.200) Prec@5 86.719 (86.048) Epoch: [64][2910/10010] Time 0.312 (0.327) Data 0.000 (0.002) Loss 1.3662 (1.4219) Prec@1 64.844 (67.202) Prec@5 87.500 (86.052) Epoch: [64][2920/10010] Time 0.337 (0.327) Data 0.001 (0.002) Loss 1.5978 (1.4220) Prec@1 64.062 (67.196) Prec@5 80.469 (86.050) Epoch: [64][2930/10010] Time 0.321 (0.327) Data 0.001 (0.002) Loss 1.3562 (1.4224) Prec@1 67.188 (67.189) Prec@5 89.844 (86.045) Epoch: [64][2940/10010] Time 0.336 (0.327) Data 0.001 (0.002) Loss 1.5836 (1.4223) Prec@1 58.594 (67.193) Prec@5 84.375 (86.047) Epoch: [64][2950/10010] Time 0.338 (0.327) Data 0.001 (0.002) Loss 1.6375 (1.4229) Prec@1 57.031 (67.185) Prec@5 86.719 (86.038) Epoch: [64][2960/10010] Time 0.314 (0.327) Data 0.000 (0.002) Loss 1.6685 (1.4227) Prec@1 63.281 (67.186) Prec@5 82.812 (86.039) Epoch: [64][2970/10010] Time 0.333 (0.327) Data 0.001 (0.002) Loss 1.1741 (1.4224) Prec@1 71.875 (67.191) Prec@5 86.719 (86.042) Epoch: [64][2980/10010] Time 0.321 (0.327) Data 0.001 (0.002) Loss 1.7623 (1.4223) Prec@1 59.375 (67.194) Prec@5 78.125 (86.044) Epoch: [64][2990/10010] Time 0.318 (0.327) Data 0.001 (0.002) Loss 1.5737 (1.4222) Prec@1 64.844 (67.192) Prec@5 85.938 (86.047) Epoch: [64][3000/10010] Time 0.343 (0.327) Data 0.001 (0.002) Loss 1.1774 (1.4223) Prec@1 72.656 (67.191) Prec@5 85.938 (86.045) Epoch: [64][3010/10010] Time 0.319 (0.327) Data 0.001 (0.002) Loss 1.5278 (1.4224) Prec@1 64.844 (67.187) Prec@5 85.156 (86.043) Epoch: [64][3020/10010] Time 0.319 (0.327) Data 0.001 (0.002) Loss 1.2110 (1.4224) Prec@1 69.531 (67.186) Prec@5 88.281 (86.042) Epoch: [64][3030/10010] Time 0.343 (0.327) Data 0.000 (0.002) Loss 1.3569 (1.4224) Prec@1 69.531 (67.182) Prec@5 85.938 (86.039) Epoch: [64][3040/10010] Time 0.337 (0.327) Data 0.001 (0.002) Loss 1.1671 (1.4223) Prec@1 70.312 (67.181) Prec@5 89.062 (86.041) Epoch: [64][3050/10010] Time 0.332 (0.327) Data 0.001 (0.002) Loss 1.4381 (1.4226) Prec@1 64.062 (67.174) Prec@5 85.938 (86.036) Epoch: [64][3060/10010] Time 0.341 (0.327) Data 0.001 (0.002) Loss 1.5597 (1.4227) Prec@1 62.500 (67.173) Prec@5 79.688 (86.034) Epoch: [64][3070/10010] Time 0.313 (0.327) Data 0.001 (0.002) Loss 1.2199 (1.4226) Prec@1 72.656 (67.175) Prec@5 89.062 (86.032) Epoch: [64][3080/10010] Time 0.337 (0.327) Data 0.001 (0.002) Loss 1.2245 (1.4227) Prec@1 70.312 (67.175) Prec@5 89.844 (86.028) Epoch: [64][3090/10010] Time 0.320 (0.327) Data 0.001 (0.002) Loss 1.3635 (1.4230) Prec@1 70.312 (67.174) Prec@5 85.938 (86.026) Epoch: [64][3100/10010] Time 0.312 (0.327) Data 0.001 (0.002) Loss 1.5091 (1.4230) Prec@1 63.281 (67.174) Prec@5 88.281 (86.026) Epoch: [64][3110/10010] Time 0.317 (0.327) Data 0.001 (0.002) Loss 1.3550 (1.4232) Prec@1 65.625 (67.170) Prec@5 88.281 (86.023) Epoch: [64][3120/10010] Time 0.326 (0.327) Data 0.001 (0.002) Loss 1.0922 (1.4228) Prec@1 75.000 (67.176) Prec@5 88.281 (86.026) Epoch: [64][3130/10010] Time 0.342 (0.327) Data 0.000 (0.002) Loss 1.5616 (1.4228) Prec@1 63.281 (67.173) Prec@5 85.156 (86.027) Epoch: [64][3140/10010] Time 0.334 (0.327) Data 0.000 (0.002) Loss 1.5338 (1.4229) Prec@1 66.406 (67.171) Prec@5 82.031 (86.026) Epoch: [64][3150/10010] Time 0.321 (0.327) Data 0.001 (0.002) Loss 1.3213 (1.4227) Prec@1 61.719 (67.174) Prec@5 85.938 (86.026) Epoch: [64][3160/10010] Time 0.331 (0.327) Data 0.001 (0.002) Loss 1.3525 (1.4229) Prec@1 66.406 (67.173) Prec@5 90.625 (86.024) Epoch: [64][3170/10010] Time 0.338 (0.327) Data 0.001 (0.002) Loss 1.0924 (1.4226) Prec@1 71.875 (67.178) Prec@5 91.406 (86.030) Epoch: [64][3180/10010] Time 0.324 (0.327) Data 0.001 (0.002) Loss 1.8351 (1.4228) Prec@1 56.250 (67.173) Prec@5 79.688 (86.029) Epoch: [64][3190/10010] Time 0.340 (0.327) Data 0.001 (0.002) Loss 1.4672 (1.4231) Prec@1 71.875 (67.174) Prec@5 85.156 (86.025) Epoch: [64][3200/10010] Time 0.310 (0.327) Data 0.001 (0.002) Loss 1.4386 (1.4233) Prec@1 64.844 (67.168) Prec@5 86.719 (86.022) Epoch: [64][3210/10010] Time 0.337 (0.327) Data 0.000 (0.002) Loss 1.7102 (1.4232) Prec@1 61.719 (67.165) Prec@5 84.375 (86.023) Epoch: [64][3220/10010] Time 0.339 (0.327) Data 0.000 (0.002) Loss 1.3414 (1.4232) Prec@1 67.969 (67.166) Prec@5 84.375 (86.021) Epoch: [64][3230/10010] Time 0.333 (0.327) Data 0.001 (0.002) Loss 1.6277 (1.4233) Prec@1 59.375 (67.168) Prec@5 82.812 (86.018) Epoch: [64][3240/10010] Time 0.323 (0.327) Data 0.001 (0.002) Loss 1.3047 (1.4233) Prec@1 68.750 (67.170) Prec@5 85.938 (86.019) Epoch: [64][3250/10010] Time 0.323 (0.327) Data 0.001 (0.002) Loss 1.7310 (1.4233) Prec@1 63.281 (67.170) Prec@5 78.906 (86.015) Epoch: [64][3260/10010] Time 0.322 (0.327) Data 0.000 (0.002) Loss 1.6894 (1.4235) Prec@1 64.062 (67.162) Prec@5 80.469 (86.011) Epoch: [64][3270/10010] Time 0.341 (0.327) Data 0.001 (0.002) Loss 1.7452 (1.4236) Prec@1 54.688 (67.163) Prec@5 82.031 (86.011) Epoch: [64][3280/10010] Time 0.331 (0.327) Data 0.000 (0.002) Loss 1.4043 (1.4237) Prec@1 69.531 (67.159) Prec@5 85.156 (86.009) Epoch: [64][3290/10010] Time 0.314 (0.327) Data 0.001 (0.002) Loss 1.4824 (1.4235) Prec@1 68.750 (67.163) Prec@5 84.375 (86.011) Epoch: [64][3300/10010] Time 0.318 (0.327) Data 0.001 (0.002) Loss 1.6343 (1.4235) Prec@1 65.625 (67.166) Prec@5 84.375 (86.013) Epoch: [64][3310/10010] Time 0.312 (0.327) Data 0.001 (0.002) Loss 1.6187 (1.4239) Prec@1 62.500 (67.158) Prec@5 81.250 (86.008) Epoch: [64][3320/10010] Time 0.320 (0.327) Data 0.001 (0.002) Loss 1.5863 (1.4237) Prec@1 66.406 (67.158) Prec@5 83.594 (86.013) Epoch: [64][3330/10010] Time 0.329 (0.327) Data 0.001 (0.002) Loss 1.4108 (1.4239) Prec@1 68.750 (67.157) Prec@5 86.719 (86.009) Epoch: [64][3340/10010] Time 0.333 (0.327) Data 0.001 (0.002) Loss 1.5052 (1.4237) Prec@1 60.938 (67.157) Prec@5 84.375 (86.014) Epoch: [64][3350/10010] Time 0.329 (0.327) Data 0.001 (0.002) Loss 1.6080 (1.4236) Prec@1 64.062 (67.160) Prec@5 85.938 (86.016) Epoch: [64][3360/10010] Time 0.324 (0.327) Data 0.001 (0.002) Loss 1.1196 (1.4239) Prec@1 72.656 (67.158) Prec@5 92.969 (86.014) Epoch: [64][3370/10010] Time 0.332 (0.327) Data 0.001 (0.002) Loss 1.5168 (1.4238) Prec@1 68.750 (67.163) Prec@5 83.594 (86.016) Epoch: [64][3380/10010] Time 0.335 (0.327) Data 0.001 (0.002) Loss 1.6313 (1.4240) Prec@1 61.719 (67.160) Prec@5 84.375 (86.015) Epoch: [64][3390/10010] Time 0.318 (0.327) Data 0.003 (0.002) Loss 1.7704 (1.4239) Prec@1 61.719 (67.163) Prec@5 80.469 (86.018) Epoch: [64][3400/10010] Time 0.331 (0.327) Data 0.001 (0.002) Loss 1.4820 (1.4240) Prec@1 61.719 (67.159) Prec@5 89.062 (86.017) Epoch: [64][3410/10010] Time 0.339 (0.327) Data 0.000 (0.002) Loss 1.6329 (1.4242) Prec@1 60.938 (67.158) Prec@5 81.250 (86.014) Epoch: [64][3420/10010] Time 0.310 (0.327) Data 0.001 (0.002) Loss 1.7104 (1.4244) Prec@1 62.500 (67.153) Prec@5 79.688 (86.011) Epoch: [64][3430/10010] Time 0.334 (0.327) Data 0.001 (0.002) Loss 1.5134 (1.4244) Prec@1 64.844 (67.154) Prec@5 79.688 (86.009) Epoch: [64][3440/10010] Time 0.323 (0.327) Data 0.000 (0.002) Loss 1.1603 (1.4243) Prec@1 71.094 (67.151) Prec@5 91.406 (86.014) Epoch: [64][3450/10010] Time 0.333 (0.327) Data 0.001 (0.002) Loss 1.5653 (1.4244) Prec@1 62.500 (67.145) Prec@5 84.375 (86.013) Epoch: [64][3460/10010] Time 0.319 (0.327) Data 0.001 (0.002) Loss 1.5129 (1.4246) Prec@1 64.062 (67.141) Prec@5 85.156 (86.010) Epoch: [64][3470/10010] Time 0.336 (0.327) Data 0.001 (0.002) Loss 1.1042 (1.4248) Prec@1 72.656 (67.139) Prec@5 92.188 (86.009) Epoch: [64][3480/10010] Time 0.321 (0.327) Data 0.001 (0.002) Loss 1.4116 (1.4250) Prec@1 73.438 (67.138) Prec@5 85.156 (86.005) Epoch: [64][3490/10010] Time 0.325 (0.327) Data 0.001 (0.002) Loss 1.5594 (1.4249) Prec@1 61.719 (67.141) Prec@5 88.281 (86.005) /data/vision/torralba/deepscene/lib/anaconda2/lib/python2.7/site-packages/PIL/TiffImagePlugin.py:692: UserWarning: Possibly corrupt EXIF data. Expecting to read 2555904 bytes but only got 0. Skipping tag 0 "Skipping tag %s" % (size, len(data), tag)) Epoch: [64][3500/10010] Time 0.315 (0.327) Data 0.000 (0.002) Loss 1.3941 (1.4250) Prec@1 69.531 (67.138) Prec@5 83.594 (86.001) Epoch: [64][3510/10010] Time 0.314 (0.327) Data 0.000 (0.002) Loss 1.5600 (1.4251) Prec@1 65.625 (67.135) Prec@5 83.594 (86.002) Epoch: [64][3520/10010] Time 0.317 (0.327) Data 0.001 (0.002) Loss 1.5203 (1.4252) Prec@1 60.938 (67.133) Prec@5 85.938 (86.001) Epoch: [64][3530/10010] Time 0.321 (0.327) Data 0.001 (0.002) Loss 1.2193 (1.4253) Prec@1 71.094 (67.133) Prec@5 88.281 (85.999) Epoch: [64][3540/10010] Time 0.335 (0.327) Data 0.001 (0.002) Loss 1.3566 (1.4255) Prec@1 67.969 (67.127) Prec@5 86.719 (85.995) Epoch: [64][3550/10010] Time 0.335 (0.327) Data 0.000 (0.002) Loss 1.2684 (1.4254) Prec@1 67.969 (67.129) Prec@5 91.406 (85.999) Epoch: [64][3560/10010] Time 0.310 (0.327) Data 0.001 (0.002) Loss 1.7191 (1.4253) Prec@1 58.594 (67.127) Prec@5 82.031 (86.001) Epoch: [64][3570/10010] Time 0.321 (0.327) Data 0.001 (0.002) Loss 1.3569 (1.4253) Prec@1 71.875 (67.127) Prec@5 85.156 (85.999) Epoch: [64][3580/10010] Time 0.340 (0.327) Data 0.001 (0.002) Loss 1.4752 (1.4253) Prec@1 74.219 (67.132) Prec@5 84.375 (86.000) Epoch: [64][3590/10010] Time 0.317 (0.327) Data 0.001 (0.002) Loss 1.0693 (1.4249) Prec@1 71.094 (67.135) Prec@5 95.312 (86.005) Epoch: [64][3600/10010] Time 0.338 (0.327) Data 0.001 (0.002) Loss 1.3085 (1.4249) Prec@1 67.969 (67.135) Prec@5 89.844 (86.006) Epoch: [64][3610/10010] Time 0.315 (0.327) Data 0.005 (0.002) Loss 1.5103 (1.4250) Prec@1 63.281 (67.131) Prec@5 83.594 (86.004) Epoch: [64][3620/10010] Time 0.318 (0.327) Data 0.001 (0.002) Loss 1.7149 (1.4248) Prec@1 60.938 (67.134) Prec@5 85.156 (86.008) Epoch: [64][3630/10010] Time 0.318 (0.327) Data 0.000 (0.002) Loss 1.2633 (1.4248) Prec@1 69.531 (67.136) Prec@5 87.500 (86.007) Epoch: [64][3640/10010] Time 0.326 (0.327) Data 0.001 (0.002) Loss 1.3566 (1.4247) Prec@1 72.656 (67.136) Prec@5 85.938 (86.009) Epoch: [64][3650/10010] Time 0.316 (0.327) Data 0.000 (0.002) Loss 1.1690 (1.4245) Prec@1 72.656 (67.140) Prec@5 85.938 (86.011) Epoch: [64][3660/10010] Time 0.311 (0.327) Data 0.001 (0.002) Loss 1.8614 (1.4245) Prec@1 58.594 (67.141) Prec@5 79.688 (86.012) Epoch: [64][3670/10010] Time 0.327 (0.327) Data 0.001 (0.002) Loss 1.4797 (1.4246) Prec@1 65.625 (67.142) Prec@5 84.375 (86.008) Epoch: [64][3680/10010] Time 0.320 (0.327) Data 0.001 (0.002) Loss 1.4672 (1.4245) Prec@1 63.281 (67.144) Prec@5 89.062 (86.008) Epoch: [64][3690/10010] Time 0.320 (0.327) Data 0.001 (0.002) Loss 1.5079 (1.4246) Prec@1 65.625 (67.145) Prec@5 85.938 (86.008) Epoch: [64][3700/10010] Time 0.312 (0.327) Data 0.000 (0.002) Loss 1.7054 (1.4249) Prec@1 60.938 (67.135) Prec@5 82.031 (86.004) Epoch: [64][3710/10010] Time 0.312 (0.327) Data 0.001 (0.002) Loss 1.4955 (1.4248) Prec@1 64.844 (67.135) Prec@5 82.031 (86.005) Epoch: [64][3720/10010] Time 0.325 (0.327) Data 0.000 (0.002) Loss 1.6253 (1.4249) Prec@1 64.844 (67.130) Prec@5 82.031 (86.004) Epoch: [64][3730/10010] Time 0.330 (0.327) Data 0.000 (0.002) Loss 1.3273 (1.4249) Prec@1 66.406 (67.127) Prec@5 86.719 (86.004) Epoch: [64][3740/10010] Time 0.340 (0.327) Data 0.000 (0.002) Loss 1.2869 (1.4250) Prec@1 64.844 (67.125) Prec@5 88.281 (86.003) Epoch: [64][3750/10010] Time 0.319 (0.327) Data 0.001 (0.002) Loss 1.5236 (1.4253) Prec@1 64.062 (67.118) Prec@5 84.375 (85.999) Epoch: [64][3760/10010] Time 0.339 (0.327) Data 0.000 (0.002) Loss 1.4567 (1.4254) Prec@1 64.844 (67.114) Prec@5 88.281 (85.997) Epoch: [64][3770/10010] Time 0.332 (0.327) Data 0.001 (0.002) Loss 1.5475 (1.4256) Prec@1 64.062 (67.113) Prec@5 82.812 (85.993) Epoch: [64][3780/10010] Time 0.327 (0.327) Data 0.000 (0.002) Loss 1.4091 (1.4255) Prec@1 70.312 (67.116) Prec@5 86.719 (85.994) Epoch: [64][3790/10010] Time 0.324 (0.327) Data 0.001 (0.002) Loss 1.3112 (1.4253) Prec@1 71.094 (67.119) Prec@5 86.719 (85.998) Epoch: [64][3800/10010] Time 0.316 (0.327) Data 0.001 (0.002) Loss 1.3050 (1.4251) Prec@1 75.000 (67.124) Prec@5 88.281 (86.001) Epoch: [64][3810/10010] Time 0.327 (0.327) Data 0.001 (0.002) Loss 1.4515 (1.4251) Prec@1 64.844 (67.125) Prec@5 84.375 (86.002) Epoch: [64][3820/10010] Time 0.323 (0.327) Data 0.000 (0.002) Loss 1.1901 (1.4250) Prec@1 73.438 (67.124) Prec@5 90.625 (86.004) Epoch: [64][3830/10010] Time 0.325 (0.327) Data 0.001 (0.002) Loss 1.5449 (1.4249) Prec@1 64.062 (67.126) Prec@5 85.938 (86.006) Epoch: [64][3840/10010] Time 0.337 (0.327) Data 0.001 (0.002) Loss 1.4471 (1.4248) Prec@1 69.531 (67.129) Prec@5 89.062 (86.008) Epoch: [64][3850/10010] Time 0.334 (0.327) Data 0.000 (0.002) Loss 1.5053 (1.4248) Prec@1 67.969 (67.129) Prec@5 82.812 (86.005) Epoch: [64][3860/10010] Time 0.318 (0.327) Data 0.001 (0.002) Loss 1.3043 (1.4247) Prec@1 66.406 (67.131) Prec@5 88.281 (86.008) Epoch: [64][3870/10010] Time 0.343 (0.327) Data 0.000 (0.002) Loss 1.4209 (1.4248) Prec@1 67.188 (67.128) Prec@5 84.375 (86.006) Epoch: [64][3880/10010] Time 0.332 (0.327) Data 0.000 (0.002) Loss 1.0760 (1.4248) Prec@1 73.438 (67.125) Prec@5 89.062 (86.006) Epoch: [64][3890/10010] Time 0.325 (0.327) Data 0.001 (0.002) Loss 1.2971 (1.4248) Prec@1 69.531 (67.125) Prec@5 88.281 (86.008) Epoch: [64][3900/10010] Time 0.328 (0.327) Data 0.001 (0.002) Loss 1.4948 (1.4248) Prec@1 68.750 (67.128) Prec@5 85.156 (86.008) Epoch: [64][3910/10010] Time 0.327 (0.327) Data 0.001 (0.002) Loss 1.4819 (1.4248) Prec@1 64.844 (67.124) Prec@5 84.375 (86.009) Epoch: [64][3920/10010] Time 0.333 (0.327) Data 0.001 (0.002) Loss 1.6737 (1.4250) Prec@1 63.281 (67.120) Prec@5 82.812 (86.007) Epoch: [64][3930/10010] Time 0.338 (0.327) Data 0.001 (0.002) Loss 1.4680 (1.4248) Prec@1 64.844 (67.124) Prec@5 86.719 (86.009) Epoch: [64][3940/10010] Time 0.317 (0.327) Data 0.001 (0.002) Loss 1.6196 (1.4250) Prec@1 64.844 (67.121) Prec@5 85.938 (86.008) Epoch: [64][3950/10010] Time 0.332 (0.327) Data 0.000 (0.002) Loss 1.5396 (1.4252) Prec@1 63.281 (67.118) Prec@5 85.938 (86.003) Epoch: [64][3960/10010] Time 0.339 (0.327) Data 0.001 (0.002) Loss 1.1179 (1.4252) Prec@1 73.438 (67.121) Prec@5 88.281 (86.001) Epoch: [64][3970/10010] Time 0.319 (0.327) Data 0.001 (0.002) Loss 1.2822 (1.4251) Prec@1 69.531 (67.124) Prec@5 85.156 (86.001) Epoch: [64][3980/10010] Time 0.338 (0.327) Data 0.001 (0.002) Loss 1.2247 (1.4250) Prec@1 71.094 (67.125) Prec@5 85.938 (86.005) Epoch: [64][3990/10010] Time 0.325 (0.327) Data 0.000 (0.002) Loss 1.1292 (1.4247) Prec@1 71.094 (67.133) Prec@5 90.625 (86.007) Epoch: [64][4000/10010] Time 0.319 (0.327) Data 0.001 (0.002) Loss 1.3669 (1.4247) Prec@1 67.188 (67.130) Prec@5 91.406 (86.006) Epoch: [64][4010/10010] Time 0.334 (0.327) Data 0.001 (0.002) Loss 1.2472 (1.4245) Prec@1 65.625 (67.132) Prec@5 88.281 (86.009) Epoch: [64][4020/10010] Time 0.323 (0.327) Data 0.001 (0.002) Loss 1.5227 (1.4248) Prec@1 64.062 (67.128) Prec@5 85.938 (86.008) Epoch: [64][4030/10010] Time 0.319 (0.327) Data 0.001 (0.002) Loss 1.3010 (1.4248) Prec@1 70.312 (67.127) Prec@5 88.281 (86.008) Epoch: [64][4040/10010] Time 0.325 (0.327) Data 0.000 (0.002) Loss 1.1588 (1.4248) Prec@1 73.438 (67.129) Prec@5 90.625 (86.009) Epoch: [64][4050/10010] Time 0.322 (0.327) Data 0.001 (0.002) Loss 1.3385 (1.4247) Prec@1 71.094 (67.133) Prec@5 85.938 (86.008) Epoch: [64][4060/10010] Time 0.323 (0.327) Data 0.001 (0.002) Loss 1.3352 (1.4248) Prec@1 71.875 (67.135) Prec@5 87.500 (86.007) Epoch: [64][4070/10010] Time 0.313 (0.327) Data 0.000 (0.002) Loss 1.4979 (1.4249) Prec@1 63.281 (67.130) Prec@5 82.812 (86.007) Epoch: [64][4080/10010] Time 0.327 (0.327) Data 0.001 (0.002) Loss 1.5438 (1.4248) Prec@1 65.625 (67.130) Prec@5 82.812 (86.008) Epoch: [64][4090/10010] Time 0.332 (0.327) Data 0.001 (0.002) Loss 1.7086 (1.4250) Prec@1 66.406 (67.128) Prec@5 81.250 (86.004) Epoch: [64][4100/10010] Time 0.320 (0.327) Data 0.000 (0.002) Loss 1.3094 (1.4248) Prec@1 67.969 (67.126) Prec@5 84.375 (86.002) Epoch: [64][4110/10010] Time 0.314 (0.327) Data 0.001 (0.002) Loss 1.5222 (1.4249) Prec@1 64.062 (67.120) Prec@5 83.594 (86.002) Epoch: [64][4120/10010] Time 0.332 (0.327) Data 0.000 (0.002) Loss 1.4176 (1.4249) Prec@1 65.625 (67.114) Prec@5 87.500 (86.004) Epoch: [64][4130/10010] Time 0.327 (0.327) Data 0.001 (0.002) Loss 1.2756 (1.4249) Prec@1 67.188 (67.110) Prec@5 88.281 (86.004) Epoch: [64][4140/10010] Time 0.323 (0.327) Data 0.000 (0.002) Loss 1.2486 (1.4250) Prec@1 66.406 (67.108) Prec@5 89.062 (86.001) Epoch: [64][4150/10010] Time 0.334 (0.327) Data 0.001 (0.002) Loss 1.3269 (1.4249) Prec@1 68.750 (67.108) Prec@5 88.281 (86.003) Epoch: [64][4160/10010] Time 0.312 (0.327) Data 0.001 (0.002) Loss 1.2763 (1.4250) Prec@1 64.844 (67.103) Prec@5 86.719 (86.000) Epoch: [64][4170/10010] Time 0.316 (0.327) Data 0.001 (0.002) Loss 1.3957 (1.4252) Prec@1 66.406 (67.102) Prec@5 87.500 (85.997) Epoch: [64][4180/10010] Time 0.329 (0.327) Data 0.001 (0.002) Loss 1.4407 (1.4252) Prec@1 67.969 (67.103) Prec@5 85.938 (85.998) Epoch: [64][4190/10010] Time 0.332 (0.327) Data 0.001 (0.002) Loss 1.6883 (1.4250) Prec@1 60.156 (67.107) Prec@5 80.469 (86.000) Epoch: [64][4200/10010] Time 0.323 (0.327) Data 0.001 (0.002) Loss 1.4832 (1.4250) Prec@1 67.969 (67.112) Prec@5 84.375 (86.000) Epoch: [64][4210/10010] Time 0.319 (0.327) Data 0.000 (0.002) Loss 1.6300 (1.4251) Prec@1 60.938 (67.108) Prec@5 81.250 (85.998) Epoch: [64][4220/10010] Time 0.338 (0.327) Data 0.000 (0.002) Loss 1.4452 (1.4252) Prec@1 65.625 (67.108) Prec@5 88.281 (85.998) Epoch: [64][4230/10010] Time 0.325 (0.327) Data 0.001 (0.002) Loss 1.3210 (1.4251) Prec@1 68.750 (67.106) Prec@5 85.938 (85.996) Epoch: [64][4240/10010] Time 0.337 (0.327) Data 0.001 (0.002) Loss 1.3374 (1.4253) Prec@1 70.312 (67.107) Prec@5 85.938 (85.992) Epoch: [64][4250/10010] Time 0.318 (0.327) Data 0.001 (0.002) Loss 1.1196 (1.4252) Prec@1 73.438 (67.109) Prec@5 89.844 (85.990) Epoch: [64][4260/10010] Time 0.313 (0.327) Data 0.001 (0.002) Loss 1.3715 (1.4252) Prec@1 66.406 (67.111) Prec@5 85.938 (85.991) Epoch: [64][4270/10010] Time 0.320 (0.327) Data 0.000 (0.002) Loss 1.3292 (1.4252) Prec@1 70.312 (67.113) Prec@5 89.844 (85.990) Epoch: [64][4280/10010] Time 0.317 (0.327) Data 0.000 (0.002) Loss 1.3213 (1.4251) Prec@1 69.531 (67.115) Prec@5 87.500 (85.993) Epoch: [64][4290/10010] Time 0.334 (0.327) Data 0.000 (0.002) Loss 1.1902 (1.4251) Prec@1 71.875 (67.113) Prec@5 87.500 (85.992) Epoch: [64][4300/10010] Time 0.339 (0.327) Data 0.000 (0.002) Loss 1.2654 (1.4252) Prec@1 72.656 (67.115) Prec@5 89.062 (85.991) Epoch: [64][4310/10010] Time 0.321 (0.327) Data 0.000 (0.002) Loss 1.1763 (1.4250) Prec@1 71.875 (67.116) Prec@5 87.500 (85.995) Epoch: [64][4320/10010] Time 0.332 (0.327) Data 0.001 (0.002) Loss 1.3048 (1.4249) Prec@1 67.969 (67.115) Prec@5 86.719 (85.997) Epoch: [64][4330/10010] Time 0.332 (0.327) Data 0.001 (0.002) Loss 1.6409 (1.4250) Prec@1 65.625 (67.112) Prec@5 82.031 (85.995) Epoch: [64][4340/10010] Time 0.313 (0.327) Data 0.001 (0.002) Loss 1.5784 (1.4250) Prec@1 58.594 (67.110) Prec@5 84.375 (85.997) Epoch: [64][4350/10010] Time 0.341 (0.327) Data 0.001 (0.002) Loss 1.5981 (1.4251) Prec@1 67.188 (67.109) Prec@5 84.375 (85.996) Epoch: [64][4360/10010] Time 0.337 (0.327) Data 0.001 (0.002) Loss 1.3920 (1.4254) Prec@1 66.406 (67.104) Prec@5 89.062 (85.992) Epoch: [64][4370/10010] Time 0.309 (0.327) Data 0.001 (0.002) Loss 1.3642 (1.4253) Prec@1 69.531 (67.105) Prec@5 87.500 (85.993) Epoch: [64][4380/10010] Time 0.321 (0.327) Data 0.001 (0.002) Loss 1.1421 (1.4252) Prec@1 70.312 (67.109) Prec@5 89.844 (85.996) Epoch: [64][4390/10010] Time 0.337 (0.327) Data 0.001 (0.002) Loss 1.3104 (1.4251) Prec@1 69.531 (67.108) Prec@5 86.719 (85.998) Epoch: [64][4400/10010] Time 0.340 (0.327) Data 0.001 (0.002) Loss 1.4985 (1.4252) Prec@1 68.750 (67.106) Prec@5 86.719 (85.997) Epoch: [64][4410/10010] Time 0.311 (0.327) Data 0.001 (0.002) Loss 1.4015 (1.4253) Prec@1 70.312 (67.105) Prec@5 88.281 (85.997) Epoch: [64][4420/10010] Time 0.316 (0.327) Data 0.001 (0.002) Loss 1.4429 (1.4254) Prec@1 67.188 (67.104) Prec@5 85.938 (85.994) Epoch: [64][4430/10010] Time 0.326 (0.327) Data 0.001 (0.002) Loss 1.5646 (1.4254) Prec@1 69.531 (67.102) Prec@5 82.031 (85.993) Epoch: [64][4440/10010] Time 0.315 (0.327) Data 0.001 (0.002) Loss 1.6904 (1.4254) Prec@1 64.062 (67.105) Prec@5 81.250 (85.994) Epoch: [64][4450/10010] Time 0.319 (0.327) Data 0.000 (0.002) Loss 1.6682 (1.4255) Prec@1 65.625 (67.102) Prec@5 82.031 (85.990) Epoch: [64][4460/10010] Time 0.332 (0.327) Data 0.001 (0.002) Loss 1.6661 (1.4257) Prec@1 59.375 (67.095) Prec@5 78.125 (85.988) Epoch: [64][4470/10010] Time 0.322 (0.327) Data 0.001 (0.002) Loss 1.3201 (1.4257) Prec@1 70.312 (67.096) Prec@5 89.062 (85.986) Epoch: [64][4480/10010] Time 0.319 (0.327) Data 0.001 (0.002) Loss 1.5208 (1.4257) Prec@1 64.844 (67.096) Prec@5 83.594 (85.984) Epoch: [64][4490/10010] Time 0.336 (0.327) Data 0.000 (0.002) Loss 1.5174 (1.4255) Prec@1 67.188 (67.099) Prec@5 85.938 (85.987) Epoch: [64][4500/10010] Time 0.320 (0.327) Data 0.001 (0.002) Loss 1.4078 (1.4255) Prec@1 68.750 (67.100) Prec@5 86.719 (85.990) Epoch: [64][4510/10010] Time 0.323 (0.327) Data 0.001 (0.002) Loss 1.8461 (1.4257) Prec@1 59.375 (67.097) Prec@5 77.344 (85.988) Epoch: [64][4520/10010] Time 0.325 (0.327) Data 0.000 (0.002) Loss 1.1748 (1.4256) Prec@1 67.969 (67.097) Prec@5 93.750 (85.990) Epoch: [64][4530/10010] Time 0.338 (0.327) Data 0.001 (0.001) Loss 1.1949 (1.4254) Prec@1 73.438 (67.101) Prec@5 90.625 (85.993) Epoch: [64][4540/10010] Time 0.329 (0.327) Data 0.001 (0.001) Loss 1.3319 (1.4252) Prec@1 71.094 (67.102) Prec@5 85.938 (85.994) Epoch: [64][4550/10010] Time 0.341 (0.327) Data 0.001 (0.001) Loss 1.3905 (1.4252) Prec@1 67.969 (67.104) Prec@5 87.500 (85.995) Epoch: [64][4560/10010] Time 0.318 (0.327) Data 0.001 (0.001) Loss 1.1995 (1.4251) Prec@1 77.344 (67.106) Prec@5 89.062 (85.998) Epoch: [64][4570/10010] Time 0.319 (0.327) Data 0.001 (0.001) Loss 1.6427 (1.4250) Prec@1 64.062 (67.109) Prec@5 77.344 (85.999) Epoch: [64][4580/10010] Time 0.322 (0.327) Data 0.001 (0.001) Loss 1.2766 (1.4251) Prec@1 66.406 (67.106) Prec@5 88.281 (86.000) Epoch: [64][4590/10010] Time 0.326 (0.327) Data 0.001 (0.001) Loss 1.3960 (1.4250) Prec@1 66.406 (67.104) Prec@5 85.156 (86.001) Epoch: [64][4600/10010] Time 0.316 (0.327) Data 0.001 (0.001) Loss 1.2958 (1.4248) Prec@1 69.531 (67.103) Prec@5 84.375 (86.005) Epoch: [64][4610/10010] Time 0.324 (0.327) Data 0.001 (0.001) Loss 1.3230 (1.4249) Prec@1 71.094 (67.105) Prec@5 85.938 (86.005) Epoch: [64][4620/10010] Time 0.314 (0.327) Data 0.001 (0.001) Loss 1.3384 (1.4247) Prec@1 66.406 (67.106) Prec@5 88.281 (86.007) Epoch: [64][4630/10010] Time 0.323 (0.327) Data 0.001 (0.001) Loss 1.4178 (1.4250) Prec@1 67.969 (67.102) Prec@5 85.156 (86.005) Epoch: [64][4640/10010] Time 0.318 (0.327) Data 0.001 (0.001) Loss 1.4441 (1.4250) Prec@1 60.938 (67.100) Prec@5 84.375 (86.005) Epoch: [64][4650/10010] Time 0.328 (0.327) Data 0.000 (0.001) Loss 1.5120 (1.4250) Prec@1 63.281 (67.099) Prec@5 83.594 (86.005) Epoch: [64][4660/10010] Time 0.320 (0.327) Data 0.001 (0.001) Loss 1.3925 (1.4251) Prec@1 70.312 (67.099) Prec@5 86.719 (86.004) Epoch: [64][4670/10010] Time 0.323 (0.327) Data 0.001 (0.001) Loss 1.4070 (1.4250) Prec@1 69.531 (67.100) Prec@5 87.500 (86.005) Epoch: [64][4680/10010] Time 0.331 (0.327) Data 0.001 (0.001) Loss 1.5069 (1.4250) Prec@1 65.625 (67.100) Prec@5 82.031 (86.007) Epoch: [64][4690/10010] Time 0.320 (0.327) Data 0.001 (0.001) Loss 1.1831 (1.4252) Prec@1 65.625 (67.095) Prec@5 89.844 (86.004) Epoch: [64][4700/10010] Time 0.318 (0.327) Data 0.001 (0.001) Loss 1.6861 (1.4252) Prec@1 62.500 (67.095) Prec@5 85.938 (86.003) Epoch: [64][4710/10010] Time 0.313 (0.327) Data 0.001 (0.001) Loss 1.3277 (1.4253) Prec@1 68.750 (67.095) Prec@5 89.062 (86.003) Epoch: [64][4720/10010] Time 0.332 (0.327) Data 0.000 (0.001) Loss 1.3137 (1.4252) Prec@1 69.531 (67.095) Prec@5 85.938 (86.002) Epoch: [64][4730/10010] Time 0.323 (0.327) Data 0.001 (0.001) Loss 1.4153 (1.4252) Prec@1 64.062 (67.092) Prec@5 86.719 (86.004) Epoch: [64][4740/10010] Time 0.342 (0.327) Data 0.001 (0.001) Loss 1.6255 (1.4252) Prec@1 69.531 (67.093) Prec@5 83.594 (86.005) Epoch: [64][4750/10010] Time 0.323 (0.327) Data 0.001 (0.001) Loss 1.5745 (1.4252) Prec@1 63.281 (67.090) Prec@5 85.156 (86.007) Epoch: [64][4760/10010] Time 0.324 (0.327) Data 0.000 (0.001) Loss 1.4198 (1.4252) Prec@1 67.188 (67.087) Prec@5 83.594 (86.005) Epoch: [64][4770/10010] Time 0.324 (0.327) Data 0.001 (0.001) Loss 1.4388 (1.4252) Prec@1 68.750 (67.090) Prec@5 86.719 (86.005) Epoch: [64][4780/10010] Time 0.320 (0.327) Data 0.001 (0.001) Loss 1.3459 (1.4251) Prec@1 67.188 (67.091) Prec@5 85.938 (86.006) Epoch: [64][4790/10010] Time 0.333 (0.327) Data 0.001 (0.001) Loss 1.3812 (1.4252) Prec@1 71.094 (67.090) Prec@5 89.844 (86.006) Epoch: [64][4800/10010] Time 0.323 (0.327) Data 0.001 (0.001) Loss 1.2841 (1.4252) Prec@1 71.094 (67.089) Prec@5 87.500 (86.005) Epoch: [64][4810/10010] Time 0.321 (0.327) Data 0.000 (0.001) Loss 1.3034 (1.4253) Prec@1 67.188 (67.086) Prec@5 91.406 (86.003) Epoch: [64][4820/10010] Time 0.326 (0.327) Data 0.000 (0.001) Loss 1.4586 (1.4253) Prec@1 65.625 (67.086) Prec@5 86.719 (86.002) Epoch: [64][4830/10010] Time 0.321 (0.327) Data 0.001 (0.001) Loss 1.5447 (1.4253) Prec@1 71.875 (67.089) Prec@5 81.250 (86.001) Epoch: [64][4840/10010] Time 0.317 (0.327) Data 0.001 (0.001) Loss 1.5392 (1.4254) Prec@1 64.062 (67.088) Prec@5 85.156 (86.002) Epoch: [64][4850/10010] Time 0.336 (0.327) Data 0.001 (0.001) Loss 1.4366 (1.4253) Prec@1 72.656 (67.091) Prec@5 83.594 (86.003) Epoch: [64][4860/10010] Time 0.338 (0.327) Data 0.000 (0.001) Loss 1.4746 (1.4253) Prec@1 65.625 (67.092) Prec@5 85.156 (86.005) Epoch: [64][4870/10010] Time 0.320 (0.327) Data 0.001 (0.001) Loss 1.2994 (1.4252) Prec@1 70.312 (67.096) Prec@5 88.281 (86.005) Epoch: [64][4880/10010] Time 0.322 (0.327) Data 0.001 (0.001) Loss 1.5652 (1.4252) Prec@1 57.812 (67.096) Prec@5 84.375 (86.006) Epoch: [64][4890/10010] Time 0.321 (0.327) Data 0.001 (0.001) Loss 1.6188 (1.4252) Prec@1 64.062 (67.098) Prec@5 84.375 (86.008) Epoch: [64][4900/10010] Time 0.326 (0.327) Data 0.001 (0.001) Loss 1.2715 (1.4251) Prec@1 75.000 (67.101) Prec@5 88.281 (86.009) Epoch: [64][4910/10010] Time 0.321 (0.327) Data 0.001 (0.001) Loss 1.2856 (1.4250) Prec@1 68.750 (67.103) Prec@5 88.281 (86.010) Epoch: [64][4920/10010] Time 0.324 (0.327) Data 0.001 (0.001) Loss 1.1554 (1.4250) Prec@1 73.438 (67.105) Prec@5 90.625 (86.010) Epoch: [64][4930/10010] Time 0.333 (0.327) Data 0.000 (0.001) Loss 1.5274 (1.4248) Prec@1 67.188 (67.108) Prec@5 82.031 (86.011) Epoch: [64][4940/10010] Time 0.323 (0.327) Data 0.000 (0.001) Loss 1.4917 (1.4248) Prec@1 67.188 (67.107) Prec@5 82.031 (86.010) Epoch: [64][4950/10010] Time 0.337 (0.327) Data 0.000 (0.001) Loss 1.4791 (1.4248) Prec@1 60.938 (67.104) Prec@5 89.062 (86.011) Epoch: [64][4960/10010] Time 0.331 (0.327) Data 0.001 (0.001) Loss 1.4194 (1.4247) Prec@1 64.062 (67.103) Prec@5 88.281 (86.010) Epoch: [64][4970/10010] Time 0.327 (0.327) Data 0.000 (0.001) Loss 1.2737 (1.4248) Prec@1 73.438 (67.101) Prec@5 87.500 (86.009) Epoch: [64][4980/10010] Time 0.329 (0.327) Data 0.001 (0.001) Loss 1.6976 (1.4249) Prec@1 58.594 (67.099) Prec@5 83.594 (86.009) Epoch: [64][4990/10010] Time 0.322 (0.327) Data 0.001 (0.001) Loss 1.6395 (1.4249) Prec@1 64.062 (67.098) Prec@5 83.594 (86.010) Epoch: [64][5000/10010] Time 0.328 (0.327) Data 0.001 (0.001) Loss 1.6802 (1.4249) Prec@1 63.281 (67.100) Prec@5 85.156 (86.011) Epoch: [64][5010/10010] Time 0.328 (0.327) Data 0.001 (0.001) Loss 1.3643 (1.4248) Prec@1 71.094 (67.104) Prec@5 87.500 (86.012) /data/vision/torralba/deepscene/lib/anaconda2/lib/python2.7/site-packages/PIL/TiffImagePlugin.py:692: UserWarning: Possibly corrupt EXIF data. Expecting to read 19660800 bytes but only got 0. Skipping tag 0 "Skipping tag %s" % (size, len(data), tag)) /data/vision/torralba/deepscene/lib/anaconda2/lib/python2.7/site-packages/PIL/TiffImagePlugin.py:692: UserWarning: Possibly corrupt EXIF data. Expecting to read 18481152 bytes but only got 0. Skipping tag 0 "Skipping tag %s" % (size, len(data), tag)) /data/vision/torralba/deepscene/lib/anaconda2/lib/python2.7/site-packages/PIL/TiffImagePlugin.py:692: UserWarning: Possibly corrupt EXIF data. Expecting to read 37093376 bytes but only got 0. Skipping tag 0 "Skipping tag %s" % (size, len(data), tag)) /data/vision/torralba/deepscene/lib/anaconda2/lib/python2.7/site-packages/PIL/TiffImagePlugin.py:692: UserWarning: Possibly corrupt EXIF data. Expecting to read 39976960 bytes but only got 0. Skipping tag 0 "Skipping tag %s" % (size, len(data), tag)) /data/vision/torralba/deepscene/lib/anaconda2/lib/python2.7/site-packages/PIL/TiffImagePlugin.py:692: UserWarning: Possibly corrupt EXIF data. Expecting to read 34865152 bytes but only got 0. Skipping tag 0 "Skipping tag %s" % (size, len(data), tag)) /data/vision/torralba/deepscene/lib/anaconda2/lib/python2.7/site-packages/PIL/TiffImagePlugin.py:709: UserWarning: Corrupt EXIF data. Expecting to read 12 bytes but only got 10. warnings.warn(str(msg)) Epoch: [64][5020/10010] Time 0.322 (0.327) Data 0.001 (0.001) Loss 1.4668 (1.4248) Prec@1 68.750 (67.105) Prec@5 88.281 (86.014) Epoch: [64][5030/10010] Time 0.319 (0.327) Data 0.001 (0.001) Loss 1.2934 (1.4249) Prec@1 69.531 (67.102) Prec@5 89.844 (86.011) Epoch: [64][5040/10010] Time 0.337 (0.327) Data 0.001 (0.001) Loss 1.6867 (1.4248) Prec@1 60.156 (67.104) Prec@5 83.594 (86.013) Epoch: [64][5050/10010] Time 0.313 (0.327) Data 0.001 (0.001) Loss 1.8005 (1.4248) Prec@1 63.281 (67.104) Prec@5 82.812 (86.015) Epoch: [64][5060/10010] Time 0.340 (0.327) Data 0.000 (0.001) Loss 1.3123 (1.4248) Prec@1 65.625 (67.106) Prec@5 87.500 (86.013) Epoch: [64][5070/10010] Time 0.336 (0.327) Data 0.002 (0.001) Loss 1.8318 (1.4250) Prec@1 54.688 (67.102) Prec@5 84.375 (86.011) Epoch: [64][5080/10010] Time 0.311 (0.327) Data 0.000 (0.001) Loss 1.3718 (1.4250) Prec@1 66.406 (67.099) Prec@5 86.719 (86.011) Epoch: [64][5090/10010] Time 0.339 (0.327) Data 0.001 (0.001) Loss 1.4878 (1.4250) Prec@1 63.281 (67.098) Prec@5 86.719 (86.010) Epoch: [64][5100/10010] Time 0.338 (0.327) Data 0.000 (0.001) Loss 1.4776 (1.4250) Prec@1 71.094 (67.099) Prec@5 85.156 (86.011) Epoch: [64][5110/10010] Time 0.341 (0.327) Data 0.000 (0.001) Loss 1.3384 (1.4248) Prec@1 72.656 (67.104) Prec@5 88.281 (86.013) Epoch: [64][5120/10010] Time 0.318 (0.327) Data 0.001 (0.001) Loss 1.0625 (1.4246) Prec@1 75.781 (67.110) Prec@5 90.625 (86.017) Epoch: [64][5130/10010] Time 0.316 (0.327) Data 0.001 (0.001) Loss 1.4710 (1.4247) Prec@1 67.188 (67.106) Prec@5 84.375 (86.017) Epoch: [64][5140/10010] Time 0.330 (0.327) Data 0.001 (0.001) Loss 1.3196 (1.4248) Prec@1 70.312 (67.103) Prec@5 89.062 (86.016) Epoch: [64][5150/10010] Time 0.318 (0.327) Data 0.001 (0.001) Loss 1.3460 (1.4247) Prec@1 75.000 (67.106) Prec@5 85.938 (86.018) Epoch: [64][5160/10010] Time 0.314 (0.327) Data 0.001 (0.001) Loss 1.0721 (1.4246) Prec@1 73.438 (67.109) Prec@5 92.969 (86.020) Epoch: [64][5170/10010] Time 0.317 (0.327) Data 0.001 (0.001) Loss 1.6157 (1.4245) Prec@1 64.062 (67.113) Prec@5 84.375 (86.022) Epoch: [64][5180/10010] Time 0.313 (0.327) Data 0.001 (0.001) Loss 1.3801 (1.4248) Prec@1 67.969 (67.113) Prec@5 90.625 (86.019) Epoch: [64][5190/10010] Time 0.329 (0.327) Data 0.001 (0.001) Loss 1.7090 (1.4247) Prec@1 63.281 (67.115) Prec@5 81.250 (86.018) Epoch: [64][5200/10010] Time 0.316 (0.327) Data 0.001 (0.001) Loss 1.5224 (1.4246) Prec@1 66.406 (67.119) Prec@5 84.375 (86.022) Epoch: [64][5210/10010] Time 0.326 (0.327) Data 0.000 (0.001) Loss 1.4319 (1.4246) Prec@1 67.188 (67.118) Prec@5 89.062 (86.021) Epoch: [64][5220/10010] Time 0.330 (0.327) Data 0.001 (0.001) Loss 1.5710 (1.4246) Prec@1 68.750 (67.122) Prec@5 86.719 (86.021) Epoch: [64][5230/10010] Time 0.316 (0.327) Data 0.001 (0.001) Loss 1.5347 (1.4246) Prec@1 68.750 (67.126) Prec@5 83.594 (86.020) Epoch: [64][5240/10010] Time 0.337 (0.327) Data 0.001 (0.001) Loss 1.5678 (1.4245) Prec@1 61.719 (67.128) Prec@5 86.719 (86.021) Epoch: [64][5250/10010] Time 0.328 (0.327) Data 0.001 (0.001) Loss 1.4837 (1.4243) Prec@1 64.844 (67.131) Prec@5 85.156 (86.024) Epoch: [64][5260/10010] Time 0.330 (0.327) Data 0.000 (0.001) Loss 1.2534 (1.4244) Prec@1 72.656 (67.130) Prec@5 88.281 (86.023) Epoch: [64][5270/10010] Time 0.327 (0.327) Data 0.001 (0.001) Loss 1.3389 (1.4244) Prec@1 66.406 (67.124) Prec@5 85.938 (86.023) Epoch: [64][5280/10010] Time 0.322 (0.327) Data 0.001 (0.001) Loss 1.6820 (1.4245) Prec@1 63.281 (67.123) Prec@5 85.156 (86.021) Epoch: [64][5290/10010] Time 0.336 (0.327) Data 0.001 (0.001) Loss 1.8861 (1.4248) Prec@1 58.594 (67.118) Prec@5 78.906 (86.017) Epoch: [64][5300/10010] Time 0.322 (0.327) Data 0.001 (0.001) Loss 1.2165 (1.4248) Prec@1 71.875 (67.115) Prec@5 87.500 (86.016) Epoch: [64][5310/10010] Time 0.325 (0.327) Data 0.000 (0.001) Loss 1.4638 (1.4248) Prec@1 65.625 (67.113) Prec@5 85.938 (86.016) Epoch: [64][5320/10010] Time 0.315 (0.327) Data 0.000 (0.001) Loss 1.2262 (1.4246) Prec@1 70.312 (67.117) Prec@5 87.500 (86.017) Epoch: [64][5330/10010] Time 0.340 (0.327) Data 0.001 (0.001) Loss 1.3488 (1.4247) Prec@1 67.969 (67.116) Prec@5 84.375 (86.015) Epoch: [64][5340/10010] Time 0.337 (0.327) Data 0.000 (0.001) Loss 1.3001 (1.4248) Prec@1 71.094 (67.115) Prec@5 87.500 (86.014) Epoch: [64][5350/10010] Time 0.336 (0.327) Data 0.001 (0.001) Loss 1.4406 (1.4249) Prec@1 64.844 (67.112) Prec@5 85.938 (86.014) Epoch: [64][5360/10010] Time 0.342 (0.327) Data 0.000 (0.001) Loss 1.6258 (1.4250) Prec@1 60.156 (67.112) Prec@5 84.375 (86.013) Epoch: [64][5370/10010] Time 0.324 (0.327) Data 0.000 (0.001) Loss 1.2003 (1.4250) Prec@1 68.750 (67.110) Prec@5 89.062 (86.015) Epoch: [64][5380/10010] Time 0.320 (0.327) Data 0.000 (0.001) Loss 1.3825 (1.4251) Prec@1 64.844 (67.109) Prec@5 86.719 (86.012) Epoch: [64][5390/10010] Time 0.339 (0.327) Data 0.001 (0.001) Loss 1.4762 (1.4254) Prec@1 69.531 (67.104) Prec@5 81.250 (86.008) Epoch: [64][5400/10010] Time 0.323 (0.327) Data 0.001 (0.001) Loss 1.4517 (1.4254) Prec@1 65.625 (67.105) Prec@5 84.375 (86.007) Epoch: [64][5410/10010] Time 0.317 (0.327) Data 0.001 (0.001) Loss 1.4302 (1.4256) Prec@1 65.625 (67.102) Prec@5 88.281 (86.006) Epoch: [64][5420/10010] Time 0.337 (0.327) Data 0.001 (0.001) Loss 1.2389 (1.4257) Prec@1 67.188 (67.098) Prec@5 89.844 (86.007) Epoch: [64][5430/10010] Time 0.333 (0.327) Data 0.000 (0.001) Loss 1.1692 (1.4256) Prec@1 73.438 (67.097) Prec@5 90.625 (86.009) Epoch: [64][5440/10010] Time 0.333 (0.327) Data 0.000 (0.001) Loss 1.4476 (1.4257) Prec@1 62.500 (67.094) Prec@5 86.719 (86.008) Epoch: [64][5450/10010] Time 0.330 (0.327) Data 0.001 (0.001) Loss 1.5973 (1.4258) Prec@1 67.969 (67.096) Prec@5 82.031 (86.006) Epoch: [64][5460/10010] Time 0.314 (0.327) Data 0.001 (0.001) Loss 1.7162 (1.4257) Prec@1 64.062 (67.098) Prec@5 76.562 (86.006) Epoch: [64][5470/10010] Time 0.312 (0.327) Data 0.001 (0.001) Loss 1.4310 (1.4257) Prec@1 60.938 (67.097) Prec@5 89.062 (86.008) Epoch: [64][5480/10010] Time 0.336 (0.327) Data 0.001 (0.001) Loss 1.3115 (1.4255) Prec@1 67.188 (67.100) Prec@5 85.938 (86.011) Epoch: [64][5490/10010] Time 0.330 (0.327) Data 0.001 (0.001) Loss 1.2992 (1.4256) Prec@1 70.312 (67.096) Prec@5 85.156 (86.011) Epoch: [64][5500/10010] Time 0.326 (0.327) Data 0.001 (0.001) Loss 1.4023 (1.4256) Prec@1 69.531 (67.096) Prec@5 84.375 (86.011) Epoch: [64][5510/10010] Time 0.320 (0.327) Data 0.001 (0.001) Loss 1.4107 (1.4256) Prec@1 64.062 (67.095) Prec@5 86.719 (86.011) Epoch: [64][5520/10010] Time 0.333 (0.327) Data 0.001 (0.001) Loss 1.3836 (1.4256) Prec@1 67.969 (67.095) Prec@5 83.594 (86.011) Epoch: [64][5530/10010] Time 0.320 (0.327) Data 0.000 (0.001) Loss 1.5707 (1.4254) Prec@1 67.188 (67.098) Prec@5 82.812 (86.013) Epoch: [64][5540/10010] Time 0.324 (0.327) Data 0.001 (0.001) Loss 1.2098 (1.4253) Prec@1 70.312 (67.101) Prec@5 89.844 (86.013) Epoch: [64][5550/10010] Time 0.323 (0.327) Data 0.000 (0.001) Loss 1.7001 (1.4253) Prec@1 60.156 (67.104) Prec@5 81.250 (86.014) Epoch: [64][5560/10010] Time 0.320 (0.327) Data 0.001 (0.001) Loss 1.5802 (1.4253) Prec@1 60.156 (67.102) Prec@5 85.938 (86.012) Epoch: [64][5570/10010] Time 0.317 (0.327) Data 0.000 (0.001) Loss 1.3709 (1.4252) Prec@1 66.406 (67.104) Prec@5 86.719 (86.015) Epoch: [64][5580/10010] Time 0.323 (0.327) Data 0.001 (0.001) Loss 1.8573 (1.4252) Prec@1 59.375 (67.106) Prec@5 78.125 (86.014) Epoch: [64][5590/10010] Time 0.321 (0.327) Data 0.001 (0.001) Loss 1.4595 (1.4251) Prec@1 64.062 (67.106) Prec@5 85.938 (86.016) Epoch: [64][5600/10010] Time 0.332 (0.327) Data 0.000 (0.001) Loss 1.2334 (1.4249) Prec@1 69.531 (67.109) Prec@5 90.625 (86.019) Epoch: [64][5610/10010] Time 0.314 (0.327) Data 0.001 (0.001) Loss 1.0909 (1.4249) Prec@1 74.219 (67.111) Prec@5 89.844 (86.018) Epoch: [64][5620/10010] Time 0.336 (0.327) Data 0.001 (0.001) Loss 1.7709 (1.4250) Prec@1 59.375 (67.111) Prec@5 80.469 (86.015) Epoch: [64][5630/10010] Time 0.309 (0.327) Data 0.001 (0.001) Loss 1.6199 (1.4252) Prec@1 57.031 (67.106) Prec@5 85.156 (86.014) Epoch: [64][5640/10010] Time 0.327 (0.327) Data 0.001 (0.001) Loss 1.3787 (1.4251) Prec@1 68.750 (67.107) Prec@5 86.719 (86.015) Epoch: [64][5650/10010] Time 0.315 (0.327) Data 0.001 (0.001) Loss 1.3939 (1.4250) Prec@1 60.156 (67.107) Prec@5 88.281 (86.017) Epoch: [64][5660/10010] Time 0.340 (0.327) Data 0.001 (0.001) Loss 1.4449 (1.4250) Prec@1 69.531 (67.108) Prec@5 84.375 (86.019) Epoch: [64][5670/10010] Time 0.320 (0.327) Data 0.001 (0.001) Loss 1.3126 (1.4249) Prec@1 67.969 (67.109) Prec@5 86.719 (86.021) Epoch: [64][5680/10010] Time 0.326 (0.327) Data 0.001 (0.001) Loss 1.5837 (1.4247) Prec@1 65.625 (67.114) Prec@5 83.594 (86.024) Epoch: [64][5690/10010] Time 0.315 (0.327) Data 0.001 (0.001) Loss 1.3514 (1.4247) Prec@1 70.312 (67.115) Prec@5 86.719 (86.024) Epoch: [64][5700/10010] Time 0.338 (0.327) Data 0.001 (0.001) Loss 1.4473 (1.4249) Prec@1 66.406 (67.111) Prec@5 85.156 (86.022) Epoch: [64][5710/10010] Time 0.317 (0.327) Data 0.000 (0.001) Loss 1.6414 (1.4249) Prec@1 64.062 (67.114) Prec@5 84.375 (86.021) Epoch: [64][5720/10010] Time 0.313 (0.327) Data 0.000 (0.001) Loss 1.5669 (1.4250) Prec@1 64.844 (67.112) Prec@5 83.594 (86.021) Epoch: [64][5730/10010] Time 0.334 (0.327) Data 0.001 (0.001) Loss 1.4595 (1.4250) Prec@1 64.062 (67.111) Prec@5 87.500 (86.021) Epoch: [64][5740/10010] Time 0.319 (0.327) Data 0.001 (0.001) Loss 1.4941 (1.4251) Prec@1 66.406 (67.108) Prec@5 85.156 (86.019) Epoch: [64][5750/10010] Time 0.326 (0.327) Data 0.000 (0.001) Loss 1.5039 (1.4252) Prec@1 64.844 (67.107) Prec@5 83.594 (86.021) Epoch: [64][5760/10010] Time 0.337 (0.327) Data 0.000 (0.001) Loss 1.3938 (1.4250) Prec@1 71.094 (67.111) Prec@5 88.281 (86.023) Epoch: [64][5770/10010] Time 0.313 (0.326) Data 0.001 (0.001) Loss 1.2450 (1.4252) Prec@1 70.312 (67.110) Prec@5 86.719 (86.021) Epoch: [64][5780/10010] Time 0.338 (0.327) Data 0.001 (0.001) Loss 1.4544 (1.4252) Prec@1 65.625 (67.108) Prec@5 87.500 (86.022) Epoch: [64][5790/10010] Time 0.316 (0.327) Data 0.001 (0.001) Loss 1.3103 (1.4252) Prec@1 71.875 (67.107) Prec@5 85.938 (86.022) Epoch: [64][5800/10010] Time 0.340 (0.327) Data 0.000 (0.001) Loss 1.6446 (1.4252) Prec@1 62.500 (67.106) Prec@5 85.156 (86.022) Epoch: [64][5810/10010] Time 0.336 (0.327) Data 0.000 (0.001) Loss 1.4054 (1.4253) Prec@1 71.094 (67.106) Prec@5 88.281 (86.020) Epoch: [64][5820/10010] Time 0.325 (0.327) Data 0.001 (0.001) Loss 1.6186 (1.4253) Prec@1 66.406 (67.107) Prec@5 83.594 (86.019) Epoch: [64][5830/10010] Time 0.329 (0.327) Data 0.001 (0.001) Loss 1.4921 (1.4252) Prec@1 67.188 (67.108) Prec@5 81.250 (86.018) Epoch: [64][5840/10010] Time 0.318 (0.326) Data 0.001 (0.001) Loss 1.6284 (1.4252) Prec@1 63.281 (67.108) Prec@5 82.031 (86.017) Epoch: [64][5850/10010] Time 0.315 (0.326) Data 0.000 (0.001) Loss 1.4199 (1.4254) Prec@1 66.406 (67.104) Prec@5 85.156 (86.015) Epoch: [64][5860/10010] Time 0.329 (0.326) Data 0.000 (0.001) Loss 1.6874 (1.4253) Prec@1 57.031 (67.104) Prec@5 80.469 (86.015) Epoch: [64][5870/10010] Time 0.317 (0.326) Data 0.001 (0.001) Loss 1.4878 (1.4253) Prec@1 64.844 (67.104) Prec@5 85.938 (86.017) Epoch: [64][5880/10010] Time 0.336 (0.326) Data 0.001 (0.001) Loss 1.3373 (1.4254) Prec@1 69.531 (67.102) Prec@5 89.844 (86.016) Epoch: [64][5890/10010] Time 0.333 (0.327) Data 0.001 (0.001) Loss 1.5296 (1.4254) Prec@1 68.750 (67.103) Prec@5 83.594 (86.016) Epoch: [64][5900/10010] Time 0.317 (0.327) Data 0.001 (0.001) Loss 1.4821 (1.4253) Prec@1 65.625 (67.105) Prec@5 85.156 (86.018) Epoch: [64][5910/10010] Time 0.307 (0.327) Data 0.001 (0.001) Loss 1.3614 (1.4253) Prec@1 71.094 (67.105) Prec@5 85.156 (86.017) Epoch: [64][5920/10010] Time 0.330 (0.327) Data 0.001 (0.001) Loss 1.4497 (1.4254) Prec@1 64.062 (67.105) Prec@5 81.250 (86.015) Epoch: [64][5930/10010] Time 0.327 (0.327) Data 0.001 (0.001) Loss 1.5489 (1.4254) Prec@1 64.062 (67.105) Prec@5 84.375 (86.014) Epoch: [64][5940/10010] Time 0.336 (0.327) Data 0.001 (0.001) Loss 1.4149 (1.4253) Prec@1 64.844 (67.107) Prec@5 86.719 (86.015) Epoch: [64][5950/10010] Time 0.324 (0.327) Data 0.000 (0.001) Loss 1.5341 (1.4254) Prec@1 66.406 (67.103) Prec@5 84.375 (86.014) Epoch: [64][5960/10010] Time 0.335 (0.327) Data 0.001 (0.001) Loss 1.3207 (1.4254) Prec@1 68.750 (67.103) Prec@5 86.719 (86.014) Epoch: [64][5970/10010] Time 0.330 (0.327) Data 0.000 (0.001) Loss 1.4084 (1.4254) Prec@1 67.188 (67.102) Prec@5 85.156 (86.016) Epoch: [64][5980/10010] Time 0.334 (0.327) Data 0.001 (0.001) Loss 1.5920 (1.4253) Prec@1 62.500 (67.102) Prec@5 88.281 (86.019) Epoch: [64][5990/10010] Time 0.314 (0.327) Data 0.001 (0.001) Loss 1.3263 (1.4252) Prec@1 64.844 (67.103) Prec@5 89.062 (86.021) Epoch: [64][6000/10010] Time 0.319 (0.327) Data 0.001 (0.001) Loss 1.5318 (1.4252) Prec@1 66.406 (67.099) Prec@5 81.250 (86.021) Epoch: [64][6010/10010] Time 0.334 (0.327) Data 0.001 (0.001) Loss 1.4207 (1.4253) Prec@1 72.656 (67.099) Prec@5 87.500 (86.021) Epoch: [64][6020/10010] Time 0.338 (0.327) Data 0.000 (0.001) Loss 1.4290 (1.4252) Prec@1 67.188 (67.102) Prec@5 86.719 (86.020) Epoch: [64][6030/10010] Time 0.336 (0.327) Data 0.001 (0.001) Loss 1.2421 (1.4253) Prec@1 70.312 (67.100) Prec@5 85.938 (86.019) Epoch: [64][6040/10010] Time 0.332 (0.327) Data 0.001 (0.001) Loss 1.8392 (1.4256) Prec@1 58.594 (67.094) Prec@5 83.594 (86.017) Epoch: [64][6050/10010] Time 0.334 (0.327) Data 0.001 (0.001) Loss 1.2537 (1.4254) Prec@1 70.312 (67.096) Prec@5 85.938 (86.018) Epoch: [64][6060/10010] Time 0.321 (0.327) Data 0.001 (0.001) Loss 1.2246 (1.4253) Prec@1 73.438 (67.099) Prec@5 87.500 (86.018) Epoch: [64][6070/10010] Time 0.337 (0.327) Data 0.001 (0.001) Loss 1.1632 (1.4253) Prec@1 71.094 (67.099) Prec@5 90.625 (86.019) Epoch: [64][6080/10010] Time 0.310 (0.327) Data 0.001 (0.001) Loss 1.3396 (1.4254) Prec@1 62.500 (67.097) Prec@5 87.500 (86.020) Epoch: [64][6090/10010] Time 0.314 (0.327) Data 0.000 (0.001) Loss 1.4442 (1.4254) Prec@1 67.188 (67.098) Prec@5 85.156 (86.019) Epoch: [64][6100/10010] Time 0.319 (0.327) Data 0.001 (0.001) Loss 1.6920 (1.4255) Prec@1 63.281 (67.098) Prec@5 84.375 (86.017) Epoch: [64][6110/10010] Time 0.319 (0.327) Data 0.001 (0.001) Loss 1.6521 (1.4255) Prec@1 62.500 (67.097) Prec@5 82.812 (86.016) Epoch: [64][6120/10010] Time 0.320 (0.327) Data 0.001 (0.001) Loss 1.2367 (1.4255) Prec@1 65.625 (67.097) Prec@5 90.625 (86.017) Epoch: [64][6130/10010] Time 0.328 (0.327) Data 0.000 (0.001) Loss 1.4068 (1.4255) Prec@1 67.969 (67.096) Prec@5 85.938 (86.017) Epoch: [64][6140/10010] Time 0.339 (0.327) Data 0.001 (0.001) Loss 1.3791 (1.4256) Prec@1 64.844 (67.093) Prec@5 83.594 (86.017) Epoch: [64][6150/10010] Time 0.323 (0.327) Data 0.001 (0.001) Loss 1.6788 (1.4257) Prec@1 64.844 (67.090) Prec@5 85.938 (86.015) Epoch: [64][6160/10010] Time 0.339 (0.327) Data 0.000 (0.001) Loss 1.5772 (1.4257) Prec@1 63.281 (67.092) Prec@5 82.812 (86.015) Epoch: [64][6170/10010] Time 0.316 (0.327) Data 0.000 (0.001) Loss 1.4300 (1.4257) Prec@1 63.281 (67.093) Prec@5 85.156 (86.014) Epoch: [64][6180/10010] Time 0.326 (0.327) Data 0.001 (0.001) Loss 1.5315 (1.4257) Prec@1 64.062 (67.089) Prec@5 82.031 (86.013) Epoch: [64][6190/10010] Time 0.323 (0.327) Data 0.001 (0.001) Loss 1.0884 (1.4258) Prec@1 74.219 (67.088) Prec@5 88.281 (86.013) Epoch: [64][6200/10010] Time 0.319 (0.327) Data 0.000 (0.001) Loss 1.4823 (1.4259) Prec@1 67.969 (67.084) Prec@5 84.375 (86.011) Epoch: [64][6210/10010] Time 0.322 (0.327) Data 0.001 (0.001) Loss 1.2308 (1.4259) Prec@1 68.750 (67.084) Prec@5 90.625 (86.013) Epoch: [64][6220/10010] Time 0.317 (0.327) Data 0.001 (0.001) Loss 1.4700 (1.4260) Prec@1 71.094 (67.084) Prec@5 87.500 (86.012) Epoch: [64][6230/10010] Time 0.340 (0.327) Data 0.000 (0.001) Loss 1.1873 (1.4258) Prec@1 70.312 (67.087) Prec@5 89.062 (86.016) Epoch: [64][6240/10010] Time 0.328 (0.327) Data 0.000 (0.001) Loss 1.3376 (1.4257) Prec@1 65.625 (67.088) Prec@5 89.844 (86.017) Epoch: [64][6250/10010] Time 0.318 (0.327) Data 0.001 (0.001) Loss 1.6483 (1.4257) Prec@1 60.938 (67.088) Prec@5 84.375 (86.018) Epoch: [64][6260/10010] Time 0.332 (0.327) Data 0.000 (0.001) Loss 1.2868 (1.4256) Prec@1 71.875 (67.090) Prec@5 87.500 (86.018) Epoch: [64][6270/10010] Time 0.315 (0.327) Data 0.001 (0.001) Loss 1.6338 (1.4255) Prec@1 61.719 (67.092) Prec@5 81.250 (86.019) Epoch: [64][6280/10010] Time 0.338 (0.327) Data 0.001 (0.001) Loss 1.2585 (1.4254) Prec@1 70.312 (67.097) Prec@5 90.625 (86.021) Epoch: [64][6290/10010] Time 0.324 (0.326) Data 0.000 (0.001) Loss 1.4941 (1.4254) Prec@1 65.625 (67.097) Prec@5 83.594 (86.020) Epoch: [64][6300/10010] Time 0.323 (0.326) Data 0.001 (0.001) Loss 1.4214 (1.4253) Prec@1 71.094 (67.100) Prec@5 85.938 (86.021) Epoch: [64][6310/10010] Time 0.336 (0.326) Data 0.001 (0.001) Loss 1.2374 (1.4253) Prec@1 69.531 (67.101) Prec@5 89.844 (86.020) Epoch: [64][6320/10010] Time 0.334 (0.327) Data 0.000 (0.001) Loss 1.4734 (1.4254) Prec@1 64.062 (67.099) Prec@5 85.938 (86.020) Epoch: [64][6330/10010] Time 0.329 (0.327) Data 0.001 (0.001) Loss 1.4102 (1.4254) Prec@1 67.188 (67.096) Prec@5 87.500 (86.020) Epoch: [64][6340/10010] Time 0.322 (0.326) Data 0.000 (0.001) Loss 1.7079 (1.4255) Prec@1 64.844 (67.095) Prec@5 82.812 (86.019) Epoch: [64][6350/10010] Time 0.315 (0.326) Data 0.001 (0.001) Loss 1.2618 (1.4255) Prec@1 71.094 (67.096) Prec@5 88.281 (86.019) Epoch: [64][6360/10010] Time 0.337 (0.326) Data 0.001 (0.001) Loss 1.2280 (1.4254) Prec@1 67.969 (67.098) Prec@5 86.719 (86.020) Epoch: [64][6370/10010] Time 0.332 (0.326) Data 0.001 (0.001) Loss 1.4085 (1.4254) Prec@1 67.188 (67.097) Prec@5 90.625 (86.020) Epoch: [64][6380/10010] Time 0.326 (0.326) Data 0.001 (0.001) Loss 1.5026 (1.4255) Prec@1 67.188 (67.097) Prec@5 85.938 (86.019) Epoch: [64][6390/10010] Time 0.321 (0.326) Data 0.000 (0.001) Loss 1.2921 (1.4253) Prec@1 68.750 (67.098) Prec@5 85.938 (86.020) Epoch: [64][6400/10010] Time 0.327 (0.326) Data 0.001 (0.001) Loss 1.0536 (1.4253) Prec@1 75.781 (67.097) Prec@5 91.406 (86.019) Epoch: [64][6410/10010] Time 0.333 (0.326) Data 0.001 (0.001) Loss 1.5241 (1.4255) Prec@1 67.969 (67.097) Prec@5 86.719 (86.018) Epoch: [64][6420/10010] Time 0.319 (0.326) Data 0.000 (0.001) Loss 1.4937 (1.4254) Prec@1 67.969 (67.097) Prec@5 84.375 (86.019) Epoch: [64][6430/10010] Time 0.313 (0.326) Data 0.001 (0.001) Loss 1.3976 (1.4254) Prec@1 63.281 (67.095) Prec@5 88.281 (86.022) Epoch: [64][6440/10010] Time 0.315 (0.326) Data 0.001 (0.001) Loss 1.2417 (1.4252) Prec@1 73.438 (67.098) Prec@5 90.625 (86.024) Epoch: [64][6450/10010] Time 0.333 (0.326) Data 0.000 (0.001) Loss 1.8033 (1.4254) Prec@1 57.031 (67.094) Prec@5 78.906 (86.020) Epoch: [64][6460/10010] Time 0.344 (0.326) Data 0.000 (0.001) Loss 1.2419 (1.4254) Prec@1 73.438 (67.096) Prec@5 85.938 (86.018) /data/vision/torralba/deepscene/lib/anaconda2/lib/python2.7/site-packages/PIL/TiffImagePlugin.py:692: UserWarning: Possibly corrupt EXIF data. Expecting to read 1835008 bytes but only got 0. Skipping tag 0 "Skipping tag %s" % (size, len(data), tag)) Epoch: [64][6470/10010] Time 0.331 (0.326) Data 0.001 (0.001) Loss 1.6399 (1.4254) Prec@1 64.844 (67.097) Prec@5 82.031 (86.018) Epoch: [64][6480/10010] Time 0.340 (0.326) Data 0.001 (0.001) Loss 1.7014 (1.4254) Prec@1 61.719 (67.097) Prec@5 83.594 (86.020) Epoch: [64][6490/10010] Time 0.317 (0.326) Data 0.001 (0.001) Loss 1.3518 (1.4254) Prec@1 72.656 (67.099) Prec@5 84.375 (86.019) Epoch: [64][6500/10010] Time 0.322 (0.326) Data 0.001 (0.001) Loss 1.3968 (1.4253) Prec@1 64.062 (67.099) Prec@5 86.719 (86.020) Epoch: [64][6510/10010] Time 0.341 (0.326) Data 0.000 (0.001) Loss 1.8729 (1.4254) Prec@1 64.062 (67.098) Prec@5 78.125 (86.021) Epoch: [64][6520/10010] Time 0.321 (0.326) Data 0.001 (0.001) Loss 1.3285 (1.4255) Prec@1 66.406 (67.097) Prec@5 85.156 (86.019) Epoch: [64][6530/10010] Time 0.337 (0.326) Data 0.001 (0.001) Loss 1.2627 (1.4254) Prec@1 69.531 (67.101) Prec@5 87.500 (86.020) Epoch: [64][6540/10010] Time 0.315 (0.326) Data 0.000 (0.001) Loss 1.1008 (1.4253) Prec@1 67.188 (67.100) Prec@5 93.750 (86.021) Epoch: [64][6550/10010] Time 0.321 (0.326) Data 0.001 (0.001) Loss 1.3029 (1.4253) Prec@1 68.750 (67.101) Prec@5 86.719 (86.021) Epoch: [64][6560/10010] Time 0.317 (0.326) Data 0.001 (0.001) Loss 1.6813 (1.4253) Prec@1 61.719 (67.098) Prec@5 82.031 (86.021) Epoch: [64][6570/10010] Time 0.331 (0.326) Data 0.000 (0.001) Loss 1.5063 (1.4253) Prec@1 66.406 (67.098) Prec@5 84.375 (86.022) Epoch: [64][6580/10010] Time 0.321 (0.326) Data 0.001 (0.001) Loss 1.9032 (1.4254) Prec@1 63.281 (67.095) Prec@5 78.906 (86.021) Epoch: [64][6590/10010] Time 0.316 (0.326) Data 0.001 (0.001) Loss 1.1910 (1.4255) Prec@1 70.312 (67.097) Prec@5 89.844 (86.020) Epoch: [64][6600/10010] Time 0.330 (0.326) Data 0.001 (0.001) Loss 1.4019 (1.4255) Prec@1 61.719 (67.094) Prec@5 88.281 (86.021) Epoch: [64][6610/10010] Time 0.316 (0.326) Data 0.001 (0.001) Loss 1.5338 (1.4254) Prec@1 60.938 (67.099) Prec@5 89.844 (86.024) Epoch: [64][6620/10010] Time 0.322 (0.326) Data 0.001 (0.001) Loss 1.6599 (1.4256) Prec@1 61.719 (67.095) Prec@5 85.938 (86.022) Epoch: [64][6630/10010] Time 0.320 (0.326) Data 0.000 (0.001) Loss 1.8387 (1.4257) Prec@1 63.281 (67.094) Prec@5 78.125 (86.018) Epoch: [64][6640/10010] Time 0.323 (0.326) Data 0.001 (0.001) Loss 1.2526 (1.4257) Prec@1 69.531 (67.093) Prec@5 89.844 (86.018) Epoch: [64][6650/10010] Time 0.325 (0.326) Data 0.000 (0.001) Loss 1.6573 (1.4260) Prec@1 61.719 (67.091) Prec@5 82.812 (86.014) Epoch: [64][6660/10010] Time 0.323 (0.326) Data 0.001 (0.001) Loss 1.4360 (1.4260) Prec@1 67.188 (67.090) Prec@5 87.500 (86.014) Epoch: [64][6670/10010] Time 0.324 (0.326) Data 0.000 (0.001) Loss 1.2717 (1.4261) Prec@1 67.969 (67.085) Prec@5 85.938 (86.012) Epoch: [64][6680/10010] Time 0.319 (0.326) Data 0.001 (0.001) Loss 1.3449 (1.4260) Prec@1 64.062 (67.086) Prec@5 87.500 (86.013) Epoch: [64][6690/10010] Time 0.326 (0.326) Data 0.000 (0.001) Loss 1.6822 (1.4259) Prec@1 63.281 (67.088) Prec@5 82.031 (86.016) Epoch: [64][6700/10010] Time 0.329 (0.326) Data 0.000 (0.001) Loss 1.5177 (1.4260) Prec@1 64.062 (67.085) Prec@5 84.375 (86.014) Epoch: [64][6710/10010] Time 0.322 (0.326) Data 0.001 (0.001) Loss 1.5303 (1.4259) Prec@1 63.281 (67.088) Prec@5 86.719 (86.017) Epoch: [64][6720/10010] Time 0.326 (0.326) Data 0.001 (0.001) Loss 1.2601 (1.4259) Prec@1 65.625 (67.087) Prec@5 87.500 (86.015) Epoch: [64][6730/10010] Time 0.316 (0.326) Data 0.000 (0.001) Loss 1.5576 (1.4259) Prec@1 65.625 (67.087) Prec@5 84.375 (86.013) Epoch: [64][6740/10010] Time 0.343 (0.326) Data 0.001 (0.001) Loss 1.6993 (1.4259) Prec@1 59.375 (67.088) Prec@5 82.812 (86.014) Epoch: [64][6750/10010] Time 0.337 (0.326) Data 0.001 (0.001) Loss 1.3730 (1.4260) Prec@1 69.531 (67.087) Prec@5 85.938 (86.012) Epoch: [64][6760/10010] Time 0.333 (0.326) Data 0.001 (0.001) Loss 1.3095 (1.4260) Prec@1 68.750 (67.088) Prec@5 89.844 (86.014) Epoch: [64][6770/10010] Time 0.318 (0.326) Data 0.000 (0.001) Loss 1.1544 (1.4259) Prec@1 71.094 (67.089) Prec@5 90.625 (86.015) Epoch: [64][6780/10010] Time 0.314 (0.326) Data 0.000 (0.001) Loss 1.3830 (1.4260) Prec@1 70.312 (67.086) Prec@5 84.375 (86.015) Epoch: [64][6790/10010] Time 0.324 (0.326) Data 0.001 (0.001) Loss 1.5526 (1.4261) Prec@1 64.844 (67.086) Prec@5 82.812 (86.014) Epoch: [64][6800/10010] Time 0.313 (0.326) Data 0.001 (0.001) Loss 1.4561 (1.4261) Prec@1 64.062 (67.085) Prec@5 85.156 (86.014) Epoch: [64][6810/10010] Time 0.318 (0.326) Data 0.000 (0.001) Loss 1.4382 (1.4261) Prec@1 67.188 (67.084) Prec@5 87.500 (86.015) Epoch: [64][6820/10010] Time 0.325 (0.326) Data 0.000 (0.001) Loss 1.5199 (1.4260) Prec@1 65.625 (67.086) Prec@5 85.938 (86.017) Epoch: [64][6830/10010] Time 0.327 (0.326) Data 0.001 (0.001) Loss 1.4745 (1.4261) Prec@1 68.750 (67.083) Prec@5 87.500 (86.016) Epoch: [64][6840/10010] Time 0.317 (0.326) Data 0.001 (0.001) Loss 1.2312 (1.4260) Prec@1 75.000 (67.086) Prec@5 85.938 (86.017) Epoch: [64][6850/10010] Time 0.317 (0.326) Data 0.000 (0.001) Loss 1.4667 (1.4261) Prec@1 67.969 (67.084) Prec@5 86.719 (86.018) Epoch: [64][6860/10010] Time 0.318 (0.326) Data 0.001 (0.001) Loss 1.5550 (1.4262) Prec@1 66.406 (67.083) Prec@5 81.250 (86.015) Epoch: [64][6870/10010] Time 0.328 (0.326) Data 0.001 (0.001) Loss 1.6377 (1.4263) Prec@1 64.062 (67.083) Prec@5 82.031 (86.013) Epoch: [64][6880/10010] Time 0.317 (0.326) Data 0.001 (0.001) Loss 1.1248 (1.4260) Prec@1 71.875 (67.086) Prec@5 93.750 (86.017) Epoch: [64][6890/10010] Time 0.334 (0.326) Data 0.001 (0.001) Loss 1.4473 (1.4261) Prec@1 67.188 (67.086) Prec@5 84.375 (86.015) Epoch: [64][6900/10010] Time 0.330 (0.326) Data 0.000 (0.001) Loss 1.4387 (1.4261) Prec@1 66.406 (67.086) Prec@5 86.719 (86.015) Epoch: [64][6910/10010] Time 0.313 (0.326) Data 0.001 (0.001) Loss 1.4200 (1.4261) Prec@1 67.969 (67.086) Prec@5 81.250 (86.015) Epoch: [64][6920/10010] Time 0.319 (0.326) Data 0.001 (0.001) Loss 1.3379 (1.4261) Prec@1 68.750 (67.088) Prec@5 86.719 (86.016) Epoch: [64][6930/10010] Time 0.326 (0.326) Data 0.001 (0.001) Loss 1.3220 (1.4262) Prec@1 68.750 (67.086) Prec@5 85.156 (86.015) Epoch: [64][6940/10010] Time 0.337 (0.326) Data 0.001 (0.001) Loss 1.6101 (1.4262) Prec@1 65.625 (67.083) Prec@5 81.250 (86.015) Epoch: [64][6950/10010] Time 0.323 (0.326) Data 0.001 (0.001) Loss 1.9363 (1.4262) Prec@1 57.031 (67.085) Prec@5 75.000 (86.015) Epoch: [64][6960/10010] Time 0.327 (0.326) Data 0.001 (0.001) Loss 1.3090 (1.4262) Prec@1 67.188 (67.087) Prec@5 91.406 (86.015) Epoch: [64][6970/10010] Time 0.323 (0.326) Data 0.001 (0.001) Loss 1.2613 (1.4262) Prec@1 74.219 (67.089) Prec@5 89.844 (86.015) Epoch: [64][6980/10010] Time 0.331 (0.326) Data 0.000 (0.001) Loss 1.2790 (1.4261) Prec@1 71.875 (67.089) Prec@5 86.719 (86.015) Epoch: [64][6990/10010] Time 0.331 (0.326) Data 0.001 (0.001) Loss 1.4890 (1.4262) Prec@1 60.156 (67.084) Prec@5 85.156 (86.013) Epoch: [64][7000/10010] Time 0.339 (0.326) Data 0.001 (0.001) Loss 1.4100 (1.4262) Prec@1 60.938 (67.083) Prec@5 87.500 (86.012) Epoch: [64][7010/10010] Time 0.312 (0.326) Data 0.001 (0.001) Loss 1.5719 (1.4262) Prec@1 65.625 (67.083) Prec@5 83.594 (86.012) Epoch: [64][7020/10010] Time 0.321 (0.326) Data 0.000 (0.001) Loss 1.3781 (1.4262) Prec@1 65.625 (67.084) Prec@5 86.719 (86.011) Epoch: [64][7030/10010] Time 0.328 (0.326) Data 0.001 (0.001) Loss 1.6035 (1.4261) Prec@1 71.094 (67.085) Prec@5 79.688 (86.012) Epoch: [64][7040/10010] Time 0.316 (0.326) Data 0.001 (0.001) Loss 1.2457 (1.4261) Prec@1 74.219 (67.087) Prec@5 90.625 (86.013) Epoch: [64][7050/10010] Time 0.316 (0.326) Data 0.001 (0.001) Loss 1.4378 (1.4262) Prec@1 65.625 (67.082) Prec@5 85.938 (86.011) Epoch: [64][7060/10010] Time 0.328 (0.326) Data 0.000 (0.001) Loss 1.6338 (1.4261) Prec@1 64.062 (67.081) Prec@5 82.812 (86.013) Epoch: [64][7070/10010] Time 0.319 (0.326) Data 0.002 (0.001) Loss 1.4776 (1.4261) Prec@1 71.094 (67.080) Prec@5 83.594 (86.013) Epoch: [64][7080/10010] Time 0.337 (0.326) Data 0.001 (0.001) Loss 1.4231 (1.4261) Prec@1 69.531 (67.083) Prec@5 82.812 (86.013) Epoch: [64][7090/10010] Time 0.338 (0.326) Data 0.001 (0.001) Loss 1.6136 (1.4261) Prec@1 62.500 (67.084) Prec@5 81.250 (86.014) Epoch: [64][7100/10010] Time 0.329 (0.326) Data 0.001 (0.001) Loss 1.7334 (1.4261) Prec@1 63.281 (67.082) Prec@5 81.250 (86.015) Epoch: [64][7110/10010] Time 0.314 (0.326) Data 0.001 (0.001) Loss 1.0971 (1.4261) Prec@1 75.781 (67.081) Prec@5 88.281 (86.015) Epoch: [64][7120/10010] Time 0.336 (0.326) Data 0.001 (0.001) Loss 1.7786 (1.4263) Prec@1 57.812 (67.077) Prec@5 83.594 (86.011) Epoch: [64][7130/10010] Time 0.326 (0.326) Data 0.001 (0.001) Loss 1.3874 (1.4263) Prec@1 67.969 (67.077) Prec@5 88.281 (86.012) Epoch: [64][7140/10010] Time 0.326 (0.326) Data 0.000 (0.001) Loss 1.3288 (1.4263) Prec@1 70.312 (67.078) Prec@5 89.062 (86.014) Epoch: [64][7150/10010] Time 0.315 (0.326) Data 0.001 (0.001) Loss 1.8758 (1.4264) Prec@1 57.031 (67.074) Prec@5 78.906 (86.013) Epoch: [64][7160/10010] Time 0.327 (0.326) Data 0.001 (0.001) Loss 1.3274 (1.4263) Prec@1 71.875 (67.077) Prec@5 89.844 (86.013) Epoch: [64][7170/10010] Time 0.337 (0.326) Data 0.001 (0.001) Loss 1.4405 (1.4263) Prec@1 66.406 (67.077) Prec@5 85.938 (86.014) Epoch: [64][7180/10010] Time 0.332 (0.326) Data 0.001 (0.001) Loss 1.3159 (1.4261) Prec@1 67.969 (67.079) Prec@5 86.719 (86.016) Epoch: [64][7190/10010] Time 0.321 (0.326) Data 0.001 (0.001) Loss 1.4958 (1.4261) Prec@1 61.719 (67.079) Prec@5 84.375 (86.017) Epoch: [64][7200/10010] Time 0.315 (0.326) Data 0.001 (0.001) Loss 1.3098 (1.4262) Prec@1 66.406 (67.078) Prec@5 87.500 (86.016) Epoch: [64][7210/10010] Time 0.340 (0.326) Data 0.001 (0.001) Loss 1.3234 (1.4262) Prec@1 71.875 (67.078) Prec@5 85.938 (86.014) Epoch: [64][7220/10010] Time 0.341 (0.326) Data 0.001 (0.001) Loss 1.3999 (1.4262) Prec@1 60.938 (67.077) Prec@5 87.500 (86.015) Epoch: [64][7230/10010] Time 0.308 (0.326) Data 0.001 (0.001) Loss 1.3252 (1.4262) Prec@1 70.312 (67.079) Prec@5 85.938 (86.014) Epoch: [64][7240/10010] Time 0.341 (0.326) Data 0.001 (0.001) Loss 1.7032 (1.4263) Prec@1 58.594 (67.078) Prec@5 82.812 (86.013) Epoch: [64][7250/10010] Time 0.314 (0.326) Data 0.001 (0.001) Loss 1.3687 (1.4261) Prec@1 68.750 (67.079) Prec@5 85.938 (86.014) Epoch: [64][7260/10010] Time 0.330 (0.326) Data 0.001 (0.001) Loss 1.4779 (1.4261) Prec@1 69.531 (67.079) Prec@5 83.594 (86.015) Epoch: [64][7270/10010] Time 0.339 (0.327) Data 0.001 (0.001) Loss 1.1772 (1.4260) Prec@1 66.406 (67.080) Prec@5 90.625 (86.017) Epoch: [64][7280/10010] Time 0.326 (0.327) Data 0.000 (0.001) Loss 1.2779 (1.4260) Prec@1 69.531 (67.078) Prec@5 85.156 (86.016) Epoch: [64][7290/10010] Time 0.335 (0.326) Data 0.001 (0.001) Loss 1.3255 (1.4260) Prec@1 66.406 (67.080) Prec@5 91.406 (86.015) Epoch: [64][7300/10010] Time 0.317 (0.326) Data 0.000 (0.001) Loss 1.4126 (1.4260) Prec@1 67.188 (67.078) Prec@5 87.500 (86.015) Epoch: [64][7310/10010] Time 0.322 (0.326) Data 0.000 (0.001) Loss 1.2448 (1.4261) Prec@1 67.188 (67.073) Prec@5 89.844 (86.011) Epoch: [64][7320/10010] Time 0.337 (0.326) Data 0.001 (0.001) Loss 1.6464 (1.4263) Prec@1 64.062 (67.072) Prec@5 82.031 (86.007) Epoch: [64][7330/10010] Time 0.323 (0.326) Data 0.000 (0.001) Loss 1.4920 (1.4263) Prec@1 65.625 (67.070) Prec@5 86.719 (86.006) Epoch: [64][7340/10010] Time 0.333 (0.326) Data 0.000 (0.001) Loss 1.3872 (1.4263) Prec@1 64.062 (67.070) Prec@5 84.375 (86.006) /data/vision/torralba/deepscene/lib/anaconda2/lib/python2.7/site-packages/PIL/TiffImagePlugin.py:692: UserWarning: Possibly corrupt EXIF data. Expecting to read 2555904 bytes but only got 0. Skipping tag 0 "Skipping tag %s" % (size, len(data), tag)) Epoch: [64][7350/10010] Time 0.321 (0.326) Data 0.000 (0.001) Loss 1.2724 (1.4263) Prec@1 67.188 (67.068) Prec@5 88.281 (86.007) Epoch: [64][7360/10010] Time 0.331 (0.326) Data 0.001 (0.001) Loss 1.5876 (1.4263) Prec@1 66.406 (67.069) Prec@5 83.594 (86.008) Epoch: [64][7370/10010] Time 0.323 (0.326) Data 0.001 (0.001) Loss 1.2363 (1.4263) Prec@1 69.531 (67.069) Prec@5 86.719 (86.008) Epoch: [64][7380/10010] Time 0.317 (0.326) Data 0.000 (0.001) Loss 1.4768 (1.4263) Prec@1 64.844 (67.070) Prec@5 85.938 (86.007) Epoch: [64][7390/10010] Time 0.324 (0.326) Data 0.001 (0.001) Loss 1.3568 (1.4263) Prec@1 65.625 (67.069) Prec@5 85.938 (86.007) Epoch: [64][7400/10010] Time 0.336 (0.326) Data 0.000 (0.001) Loss 1.3414 (1.4262) Prec@1 69.531 (67.069) Prec@5 87.500 (86.008) Epoch: [64][7410/10010] Time 0.331 (0.326) Data 0.001 (0.001) Loss 1.4510 (1.4263) Prec@1 64.062 (67.067) Prec@5 83.594 (86.005) Epoch: [64][7420/10010] Time 0.336 (0.326) Data 0.001 (0.001) Loss 1.2816 (1.4263) Prec@1 70.312 (67.069) Prec@5 88.281 (86.005) Epoch: [64][7430/10010] Time 0.320 (0.326) Data 0.000 (0.001) Loss 1.8415 (1.4263) Prec@1 60.938 (67.066) Prec@5 78.125 (86.003) Epoch: [64][7440/10010] Time 0.324 (0.326) Data 0.000 (0.001) Loss 1.4023 (1.4263) Prec@1 67.188 (67.066) Prec@5 84.375 (86.004) Epoch: [64][7450/10010] Time 0.314 (0.326) Data 0.001 (0.001) Loss 1.6480 (1.4264) Prec@1 60.156 (67.065) Prec@5 85.156 (86.005) Epoch: [64][7460/10010] Time 0.321 (0.326) Data 0.001 (0.001) Loss 1.2216 (1.4263) Prec@1 70.312 (67.065) Prec@5 87.500 (86.006) Epoch: [64][7470/10010] Time 0.321 (0.326) Data 0.001 (0.001) Loss 1.2146 (1.4262) Prec@1 69.531 (67.068) Prec@5 89.844 (86.009) Epoch: [64][7480/10010] Time 0.318 (0.326) Data 0.001 (0.001) Loss 1.5224 (1.4262) Prec@1 58.594 (67.068) Prec@5 85.938 (86.010) Epoch: [64][7490/10010] Time 0.315 (0.326) Data 0.001 (0.001) Loss 1.3625 (1.4262) Prec@1 67.969 (67.068) Prec@5 89.062 (86.011) Epoch: [64][7500/10010] Time 0.322 (0.326) Data 0.000 (0.001) Loss 1.3885 (1.4262) Prec@1 69.531 (67.066) Prec@5 87.500 (86.009) Epoch: [64][7510/10010] Time 0.340 (0.326) Data 0.000 (0.001) Loss 1.1519 (1.4262) Prec@1 72.656 (67.067) Prec@5 92.188 (86.010) Epoch: [64][7520/10010] Time 0.318 (0.326) Data 0.001 (0.001) Loss 1.6069 (1.4263) Prec@1 60.156 (67.064) Prec@5 79.688 (86.008) Epoch: [64][7530/10010] Time 0.334 (0.326) Data 0.001 (0.001) Loss 1.2822 (1.4263) Prec@1 71.094 (67.063) Prec@5 88.281 (86.008) Epoch: [64][7540/10010] Time 0.325 (0.326) Data 0.000 (0.001) Loss 1.3993 (1.4263) Prec@1 69.531 (67.064) Prec@5 85.156 (86.007) Epoch: [64][7550/10010] Time 0.332 (0.326) Data 0.001 (0.001) Loss 1.5006 (1.4264) Prec@1 64.844 (67.063) Prec@5 84.375 (86.005) Epoch: [64][7560/10010] Time 0.338 (0.326) Data 0.001 (0.001) Loss 1.7782 (1.4265) Prec@1 62.500 (67.059) Prec@5 78.906 (86.002) Epoch: [64][7570/10010] Time 0.333 (0.326) Data 0.001 (0.001) Loss 1.3609 (1.4265) Prec@1 66.406 (67.060) Prec@5 86.719 (86.003) Epoch: [64][7580/10010] Time 0.339 (0.326) Data 0.001 (0.001) Loss 1.6088 (1.4265) Prec@1 64.844 (67.059) Prec@5 84.375 (86.002) Epoch: [64][7590/10010] Time 0.318 (0.326) Data 0.001 (0.001) Loss 1.3701 (1.4266) Prec@1 67.969 (67.056) Prec@5 83.594 (86.001) Epoch: [64][7600/10010] Time 0.328 (0.326) Data 0.001 (0.001) Loss 1.3949 (1.4267) Prec@1 67.969 (67.055) Prec@5 86.719 (86.000) Epoch: [64][7610/10010] Time 0.322 (0.326) Data 0.001 (0.001) Loss 1.4246 (1.4267) Prec@1 70.312 (67.054) Prec@5 84.375 (86.000) Epoch: [64][7620/10010] Time 0.322 (0.326) Data 0.001 (0.001) Loss 1.1347 (1.4266) Prec@1 77.344 (67.055) Prec@5 89.844 (86.001) Epoch: [64][7630/10010] Time 0.338 (0.326) Data 0.001 (0.001) Loss 1.5846 (1.4267) Prec@1 64.844 (67.055) Prec@5 84.375 (86.000) Epoch: [64][7640/10010] Time 0.330 (0.326) Data 0.001 (0.001) Loss 1.4090 (1.4267) Prec@1 66.406 (67.053) Prec@5 87.500 (85.999) Epoch: [64][7650/10010] Time 0.336 (0.326) Data 0.001 (0.001) Loss 1.4168 (1.4267) Prec@1 69.531 (67.053) Prec@5 86.719 (86.000) Epoch: [64][7660/10010] Time 0.317 (0.326) Data 0.001 (0.001) Loss 1.5449 (1.4267) Prec@1 64.844 (67.051) Prec@5 85.938 (86.000) Epoch: [64][7670/10010] Time 0.341 (0.326) Data 0.000 (0.001) Loss 1.5335 (1.4266) Prec@1 59.375 (67.052) Prec@5 84.375 (86.001) Epoch: [64][7680/10010] Time 0.318 (0.326) Data 0.000 (0.001) Loss 1.5780 (1.4267) Prec@1 64.844 (67.050) Prec@5 84.375 (86.000) Epoch: [64][7690/10010] Time 0.328 (0.326) Data 0.001 (0.001) Loss 1.5227 (1.4268) Prec@1 65.625 (67.047) Prec@5 85.938 (85.999) Epoch: [64][7700/10010] Time 0.317 (0.326) Data 0.001 (0.001) Loss 1.2968 (1.4267) Prec@1 69.531 (67.050) Prec@5 87.500 (86.001) Epoch: [64][7710/10010] Time 0.337 (0.326) Data 0.000 (0.001) Loss 1.4658 (1.4268) Prec@1 70.312 (67.049) Prec@5 86.719 (85.998) Epoch: [64][7720/10010] Time 0.339 (0.326) Data 0.001 (0.001) Loss 1.5551 (1.4269) Prec@1 60.938 (67.050) Prec@5 84.375 (85.997) Epoch: [64][7730/10010] Time 0.341 (0.326) Data 0.001 (0.001) Loss 1.5463 (1.4269) Prec@1 63.281 (67.050) Prec@5 85.156 (85.996) Epoch: [64][7740/10010] Time 0.327 (0.326) Data 0.001 (0.001) Loss 1.6494 (1.4270) Prec@1 65.625 (67.049) Prec@5 81.250 (85.995) Epoch: [64][7750/10010] Time 0.333 (0.326) Data 0.001 (0.001) Loss 1.1631 (1.4269) Prec@1 75.000 (67.051) Prec@5 87.500 (85.997) Epoch: [64][7760/10010] Time 0.324 (0.326) Data 0.001 (0.001) Loss 1.4636 (1.4270) Prec@1 69.531 (67.049) Prec@5 83.594 (85.995) Epoch: [64][7770/10010] Time 0.341 (0.326) Data 0.001 (0.001) Loss 1.3946 (1.4270) Prec@1 65.625 (67.049) Prec@5 86.719 (85.996) Epoch: [64][7780/10010] Time 0.308 (0.326) Data 0.001 (0.001) Loss 1.7950 (1.4272) Prec@1 58.594 (67.047) Prec@5 78.906 (85.992) Epoch: [64][7790/10010] Time 0.316 (0.326) Data 0.000 (0.001) Loss 1.4645 (1.4271) Prec@1 67.188 (67.049) Prec@5 84.375 (85.993) Epoch: [64][7800/10010] Time 0.315 (0.326) Data 0.001 (0.001) Loss 1.3756 (1.4270) Prec@1 69.531 (67.050) Prec@5 83.594 (85.994) Epoch: [64][7810/10010] Time 0.332 (0.326) Data 0.001 (0.001) Loss 1.3835 (1.4270) Prec@1 67.969 (67.051) Prec@5 88.281 (85.995) Epoch: [64][7820/10010] Time 0.340 (0.326) Data 0.000 (0.001) Loss 1.5185 (1.4270) Prec@1 65.625 (67.051) Prec@5 85.156 (85.996) Epoch: [64][7830/10010] Time 0.343 (0.326) Data 0.001 (0.001) Loss 1.2215 (1.4270) Prec@1 69.531 (67.051) Prec@5 89.062 (85.995) Epoch: [64][7840/10010] Time 0.320 (0.326) Data 0.000 (0.001) Loss 1.6635 (1.4269) Prec@1 63.281 (67.052) Prec@5 84.375 (85.998) Epoch: [64][7850/10010] Time 0.315 (0.326) Data 0.001 (0.001) Loss 1.3924 (1.4269) Prec@1 65.625 (67.051) Prec@5 83.594 (85.998) Epoch: [64][7860/10010] Time 0.313 (0.326) Data 0.001 (0.001) Loss 1.5130 (1.4270) Prec@1 69.531 (67.051) Prec@5 82.812 (85.997) Epoch: [64][7870/10010] Time 0.328 (0.326) Data 0.001 (0.001) Loss 1.5695 (1.4272) Prec@1 67.969 (67.049) Prec@5 85.938 (85.994) Epoch: [64][7880/10010] Time 0.318 (0.326) Data 0.001 (0.001) Loss 1.3697 (1.4271) Prec@1 73.438 (67.049) Prec@5 85.938 (85.994) Epoch: [64][7890/10010] Time 0.338 (0.326) Data 0.001 (0.001) Loss 1.2576 (1.4271) Prec@1 67.969 (67.048) Prec@5 89.844 (85.995) Epoch: [64][7900/10010] Time 0.316 (0.326) Data 0.001 (0.001) Loss 1.4207 (1.4271) Prec@1 67.188 (67.048) Prec@5 88.281 (85.995) Epoch: [64][7910/10010] Time 0.332 (0.326) Data 0.000 (0.001) Loss 1.7709 (1.4271) Prec@1 59.375 (67.047) Prec@5 84.375 (85.994) Epoch: [64][7920/10010] Time 0.337 (0.326) Data 0.001 (0.001) Loss 1.3172 (1.4271) Prec@1 72.656 (67.046) Prec@5 85.938 (85.995) Epoch: [64][7930/10010] Time 0.319 (0.326) Data 0.001 (0.001) Loss 1.6364 (1.4272) Prec@1 67.969 (67.044) Prec@5 81.250 (85.996) Epoch: [64][7940/10010] Time 0.329 (0.326) Data 0.001 (0.001) Loss 1.8686 (1.4272) Prec@1 57.031 (67.045) Prec@5 79.688 (85.994) Epoch: [64][7950/10010] Time 0.321 (0.326) Data 0.001 (0.001) Loss 1.1528 (1.4271) Prec@1 73.438 (67.046) Prec@5 87.500 (85.994) Epoch: [64][7960/10010] Time 0.318 (0.326) Data 0.001 (0.001) Loss 1.2300 (1.4270) Prec@1 71.094 (67.048) Prec@5 87.500 (85.995) Epoch: [64][7970/10010] Time 0.318 (0.326) Data 0.001 (0.001) Loss 1.4517 (1.4271) Prec@1 69.531 (67.048) Prec@5 83.594 (85.994) Epoch: [64][7980/10010] Time 0.310 (0.326) Data 0.001 (0.001) Loss 1.0967 (1.4269) Prec@1 70.312 (67.051) Prec@5 92.188 (85.996) Epoch: [64][7990/10010] Time 0.326 (0.326) Data 0.000 (0.001) Loss 1.4317 (1.4269) Prec@1 66.406 (67.051) Prec@5 89.062 (85.997) Epoch: [64][8000/10010] Time 0.319 (0.326) Data 0.000 (0.001) Loss 1.5055 (1.4270) Prec@1 60.938 (67.048) Prec@5 87.500 (85.997) Epoch: [64][8010/10010] Time 0.333 (0.326) Data 0.001 (0.001) Loss 1.6794 (1.4270) Prec@1 63.281 (67.048) Prec@5 80.469 (85.997) Epoch: [64][8020/10010] Time 0.325 (0.326) Data 0.001 (0.001) Loss 1.3967 (1.4270) Prec@1 67.969 (67.049) Prec@5 84.375 (85.997) Epoch: [64][8030/10010] Time 0.339 (0.326) Data 0.001 (0.001) Loss 1.3298 (1.4270) Prec@1 70.312 (67.051) Prec@5 86.719 (85.997) Epoch: [64][8040/10010] Time 0.331 (0.326) Data 0.001 (0.001) Loss 1.6130 (1.4270) Prec@1 67.188 (67.050) Prec@5 83.594 (85.997) Epoch: [64][8050/10010] Time 0.321 (0.326) Data 0.000 (0.001) Loss 1.1142 (1.4271) Prec@1 75.000 (67.049) Prec@5 89.062 (85.996) Epoch: [64][8060/10010] Time 0.317 (0.326) Data 0.001 (0.001) Loss 1.4081 (1.4271) Prec@1 71.094 (67.051) Prec@5 85.156 (85.995) Epoch: [64][8070/10010] Time 0.332 (0.326) Data 0.001 (0.001) Loss 1.2202 (1.4271) Prec@1 71.094 (67.051) Prec@5 89.062 (85.995) Epoch: [64][8080/10010] Time 0.337 (0.326) Data 0.001 (0.001) Loss 1.1250 (1.4271) Prec@1 73.438 (67.053) Prec@5 90.625 (85.995) Epoch: [64][8090/10010] Time 0.337 (0.326) Data 0.000 (0.001) Loss 1.3552 (1.4270) Prec@1 69.531 (67.056) Prec@5 89.062 (85.997) Epoch: [64][8100/10010] Time 0.320 (0.326) Data 0.001 (0.001) Loss 1.5141 (1.4270) Prec@1 65.625 (67.058) Prec@5 84.375 (85.998) Epoch: [64][8110/10010] Time 0.341 (0.326) Data 0.001 (0.001) Loss 1.2532 (1.4271) Prec@1 64.844 (67.054) Prec@5 87.500 (85.996) Epoch: [64][8120/10010] Time 0.325 (0.326) Data 0.001 (0.001) Loss 1.1815 (1.4270) Prec@1 72.656 (67.055) Prec@5 90.625 (85.997) Epoch: [64][8130/10010] Time 0.328 (0.326) Data 0.001 (0.001) Loss 1.3075 (1.4269) Prec@1 71.094 (67.057) Prec@5 87.500 (85.998) Epoch: [64][8140/10010] Time 0.335 (0.326) Data 0.001 (0.001) Loss 1.0685 (1.4268) Prec@1 71.875 (67.059) Prec@5 92.969 (86.000) Epoch: [64][8150/10010] Time 0.319 (0.326) Data 0.001 (0.001) Loss 1.6328 (1.4269) Prec@1 64.844 (67.058) Prec@5 86.719 (86.000) Epoch: [64][8160/10010] Time 0.343 (0.326) Data 0.001 (0.001) Loss 1.2870 (1.4269) Prec@1 67.969 (67.058) Prec@5 89.062 (85.999) Epoch: [64][8170/10010] Time 0.335 (0.326) Data 0.001 (0.001) Loss 1.5983 (1.4270) Prec@1 62.500 (67.056) Prec@5 85.156 (85.998) Epoch: [64][8180/10010] Time 0.316 (0.326) Data 0.001 (0.001) Loss 1.3792 (1.4269) Prec@1 68.750 (67.057) Prec@5 88.281 (86.000) Epoch: [64][8190/10010] Time 0.338 (0.326) Data 0.001 (0.001) Loss 1.3486 (1.4269) Prec@1 72.656 (67.056) Prec@5 87.500 (86.000) Epoch: [64][8200/10010] Time 0.337 (0.326) Data 0.001 (0.001) Loss 1.3237 (1.4269) Prec@1 67.969 (67.056) Prec@5 87.500 (86.001) Epoch: [64][8210/10010] Time 0.341 (0.326) Data 0.000 (0.001) Loss 1.3190 (1.4268) Prec@1 68.750 (67.054) Prec@5 86.719 (86.002) Epoch: [64][8220/10010] Time 0.327 (0.326) Data 0.001 (0.001) Loss 1.6864 (1.4268) Prec@1 63.281 (67.055) Prec@5 81.250 (86.001) Epoch: [64][8230/10010] Time 0.333 (0.326) Data 0.000 (0.001) Loss 1.2462 (1.4268) Prec@1 69.531 (67.055) Prec@5 88.281 (86.001) Epoch: [64][8240/10010] Time 0.307 (0.326) Data 0.001 (0.001) Loss 1.4887 (1.4267) Prec@1 66.406 (67.056) Prec@5 81.250 (86.001) Epoch: [64][8250/10010] Time 0.318 (0.326) Data 0.000 (0.001) Loss 1.5622 (1.4267) Prec@1 67.188 (67.058) Prec@5 83.594 (86.001) Epoch: [64][8260/10010] Time 0.340 (0.326) Data 0.001 (0.001) Loss 1.2729 (1.4267) Prec@1 71.094 (67.057) Prec@5 88.281 (86.001) Epoch: [64][8270/10010] Time 0.327 (0.326) Data 0.000 (0.001) Loss 1.4833 (1.4267) Prec@1 64.844 (67.058) Prec@5 84.375 (86.001) Epoch: [64][8280/10010] Time 0.311 (0.326) Data 0.001 (0.001) Loss 1.5244 (1.4268) Prec@1 60.938 (67.056) Prec@5 85.938 (86.000) Epoch: [64][8290/10010] Time 0.337 (0.326) Data 0.001 (0.001) Loss 1.2707 (1.4268) Prec@1 68.750 (67.055) Prec@5 87.500 (85.999) Epoch: [64][8300/10010] Time 0.336 (0.326) Data 0.001 (0.001) Loss 1.4698 (1.4268) Prec@1 67.969 (67.054) Prec@5 84.375 (85.999) Epoch: [64][8310/10010] Time 0.312 (0.326) Data 0.001 (0.001) Loss 1.5681 (1.4267) Prec@1 66.406 (67.056) Prec@5 85.156 (86.001) /data/vision/torralba/deepscene/lib/anaconda2/lib/python2.7/site-packages/PIL/TiffImagePlugin.py:692: UserWarning: Possibly corrupt EXIF data. Expecting to read 2555904 bytes but only got 0. Skipping tag 0 "Skipping tag %s" % (size, len(data), tag)) Epoch: [64][8320/10010] Time 0.317 (0.326) Data 0.001 (0.001) Loss 1.2754 (1.4266) Prec@1 70.312 (67.058) Prec@5 89.062 (86.003) Epoch: [64][8330/10010] Time 0.312 (0.326) Data 0.001 (0.001) Loss 1.3145 (1.4266) Prec@1 67.188 (67.059) Prec@5 86.719 (86.002) Epoch: [64][8340/10010] Time 0.327 (0.326) Data 0.001 (0.001) Loss 1.4706 (1.4266) Prec@1 67.188 (67.060) Prec@5 85.938 (86.002) Epoch: [64][8350/10010] Time 0.325 (0.326) Data 0.001 (0.001) Loss 1.4405 (1.4265) Prec@1 63.281 (67.062) Prec@5 84.375 (86.003) Epoch: [64][8360/10010] Time 0.332 (0.326) Data 0.001 (0.001) Loss 1.3296 (1.4264) Prec@1 67.969 (67.062) Prec@5 88.281 (86.005) Epoch: [64][8370/10010] Time 0.333 (0.326) Data 0.001 (0.001) Loss 1.4282 (1.4264) Prec@1 63.281 (67.062) Prec@5 85.156 (86.003) Epoch: [64][8380/10010] Time 0.335 (0.326) Data 0.001 (0.001) Loss 1.3181 (1.4265) Prec@1 69.531 (67.060) Prec@5 85.156 (86.003) Epoch: [64][8390/10010] Time 0.332 (0.326) Data 0.000 (0.001) Loss 1.3451 (1.4265) Prec@1 73.438 (67.059) Prec@5 86.719 (86.001) Epoch: [64][8400/10010] Time 0.326 (0.326) Data 0.001 (0.001) Loss 1.5625 (1.4266) Prec@1 65.625 (67.056) Prec@5 83.594 (86.000) Epoch: [64][8410/10010] Time 0.312 (0.326) Data 0.000 (0.001) Loss 1.3675 (1.4267) Prec@1 69.531 (67.057) Prec@5 85.938 (85.999) Epoch: [64][8420/10010] Time 0.335 (0.326) Data 0.001 (0.001) Loss 1.2439 (1.4267) Prec@1 71.094 (67.057) Prec@5 87.500 (85.998) Epoch: [64][8430/10010] Time 0.314 (0.326) Data 0.001 (0.001) Loss 1.2663 (1.4267) Prec@1 69.531 (67.057) Prec@5 88.281 (85.999) Epoch: [64][8440/10010] Time 0.340 (0.326) Data 0.000 (0.001) Loss 1.4122 (1.4266) Prec@1 67.969 (67.058) Prec@5 89.062 (86.001) Epoch: [64][8450/10010] Time 0.326 (0.326) Data 0.001 (0.001) Loss 1.2566 (1.4266) Prec@1 70.312 (67.057) Prec@5 88.281 (86.001) Epoch: [64][8460/10010] Time 0.336 (0.326) Data 0.001 (0.001) Loss 1.2574 (1.4265) Prec@1 73.438 (67.059) Prec@5 89.844 (86.003) Epoch: [64][8470/10010] Time 0.341 (0.326) Data 0.001 (0.001) Loss 1.7059 (1.4264) Prec@1 60.938 (67.059) Prec@5 78.906 (86.004) Epoch: [64][8480/10010] Time 0.330 (0.326) Data 0.000 (0.001) Loss 1.7199 (1.4265) Prec@1 61.719 (67.058) Prec@5 83.594 (86.005) Epoch: [64][8490/10010] Time 0.321 (0.326) Data 0.001 (0.001) Loss 1.5007 (1.4266) Prec@1 67.969 (67.057) Prec@5 85.938 (86.004) Epoch: [64][8500/10010] Time 0.336 (0.326) Data 0.001 (0.001) Loss 1.1900 (1.4265) Prec@1 72.656 (67.058) Prec@5 88.281 (86.004) Epoch: [64][8510/10010] Time 0.330 (0.326) Data 0.000 (0.001) Loss 1.3017 (1.4265) Prec@1 65.625 (67.058) Prec@5 86.719 (86.003) Epoch: [64][8520/10010] Time 0.311 (0.326) Data 0.001 (0.001) Loss 1.2868 (1.4266) Prec@1 69.531 (67.057) Prec@5 87.500 (86.003) Epoch: [64][8530/10010] Time 0.313 (0.326) Data 0.001 (0.001) Loss 1.3319 (1.4264) Prec@1 72.656 (67.062) Prec@5 87.500 (86.005) Epoch: [64][8540/10010] Time 0.320 (0.326) Data 0.000 (0.001) Loss 1.5425 (1.4264) Prec@1 61.719 (67.060) Prec@5 84.375 (86.005) Epoch: [64][8550/10010] Time 0.319 (0.326) Data 0.001 (0.001) Loss 1.6356 (1.4264) Prec@1 64.062 (67.061) Prec@5 82.812 (86.005) Epoch: [64][8560/10010] Time 0.315 (0.326) Data 0.001 (0.001) Loss 1.4563 (1.4265) Prec@1 64.844 (67.059) Prec@5 87.500 (86.004) Epoch: [64][8570/10010] Time 0.321 (0.326) Data 0.001 (0.001) Loss 1.5625 (1.4266) Prec@1 67.188 (67.056) Prec@5 81.250 (86.003) Epoch: [64][8580/10010] Time 0.324 (0.326) Data 0.001 (0.001) Loss 1.8126 (1.4266) Prec@1 60.156 (67.058) Prec@5 78.906 (86.004) Epoch: [64][8590/10010] Time 0.321 (0.326) Data 0.001 (0.001) Loss 1.5919 (1.4266) Prec@1 64.844 (67.059) Prec@5 88.281 (86.004) Epoch: [64][8600/10010] Time 0.321 (0.326) Data 0.001 (0.001) Loss 1.4566 (1.4265) Prec@1 65.625 (67.060) Prec@5 86.719 (86.006) Epoch: [64][8610/10010] Time 0.322 (0.326) Data 0.001 (0.001) Loss 1.6512 (1.4266) Prec@1 64.844 (67.058) Prec@5 79.688 (86.004) Epoch: [64][8620/10010] Time 0.325 (0.326) Data 0.000 (0.001) Loss 1.6863 (1.4267) Prec@1 61.719 (67.055) Prec@5 81.250 (86.003) Epoch: [64][8630/10010] Time 0.331 (0.326) Data 0.001 (0.001) Loss 1.4046 (1.4267) Prec@1 68.750 (67.058) Prec@5 89.062 (86.004) Epoch: [64][8640/10010] Time 0.320 (0.326) Data 0.001 (0.001) Loss 1.4901 (1.4266) Prec@1 67.969 (67.058) Prec@5 84.375 (86.004) Epoch: [64][8650/10010] Time 0.320 (0.326) Data 0.001 (0.001) Loss 1.0928 (1.4265) Prec@1 78.906 (67.060) Prec@5 91.406 (86.007) Epoch: [64][8660/10010] Time 0.331 (0.326) Data 0.001 (0.001) Loss 1.3278 (1.4266) Prec@1 73.438 (67.060) Prec@5 87.500 (86.006) Epoch: [64][8670/10010] Time 0.316 (0.326) Data 0.001 (0.001) Loss 1.4149 (1.4266) Prec@1 69.531 (67.058) Prec@5 83.594 (86.005) Epoch: [64][8680/10010] Time 0.324 (0.326) Data 0.000 (0.001) Loss 1.4641 (1.4266) Prec@1 69.531 (67.058) Prec@5 85.938 (86.005) Epoch: [64][8690/10010] Time 0.315 (0.326) Data 0.001 (0.001) Loss 1.2882 (1.4266) Prec@1 69.531 (67.057) Prec@5 90.625 (86.006) Epoch: [64][8700/10010] Time 0.315 (0.326) Data 0.000 (0.001) Loss 1.2573 (1.4266) Prec@1 69.531 (67.055) Prec@5 89.844 (86.005) Epoch: [64][8710/10010] Time 0.332 (0.326) Data 0.001 (0.001) Loss 1.2612 (1.4266) Prec@1 70.312 (67.057) Prec@5 87.500 (86.006) Epoch: [64][8720/10010] Time 0.337 (0.326) Data 0.001 (0.001) Loss 1.1224 (1.4265) Prec@1 74.219 (67.057) Prec@5 89.844 (86.007) Epoch: [64][8730/10010] Time 0.337 (0.326) Data 0.000 (0.001) Loss 1.5454 (1.4266) Prec@1 64.062 (67.057) Prec@5 86.719 (86.006) Epoch: [64][8740/10010] Time 0.324 (0.326) Data 0.001 (0.001) Loss 1.2746 (1.4265) Prec@1 71.094 (67.057) Prec@5 89.062 (86.006) Epoch: [64][8750/10010] Time 0.335 (0.326) Data 0.001 (0.001) Loss 1.2341 (1.4265) Prec@1 70.312 (67.057) Prec@5 90.625 (86.008) Epoch: [64][8760/10010] Time 0.337 (0.326) Data 0.001 (0.001) Loss 1.5301 (1.4266) Prec@1 61.719 (67.054) Prec@5 86.719 (86.006) Epoch: [64][8770/10010] Time 0.314 (0.326) Data 0.001 (0.001) Loss 1.5226 (1.4268) Prec@1 63.281 (67.051) Prec@5 85.938 (86.004) Epoch: [64][8780/10010] Time 0.340 (0.326) Data 0.001 (0.001) Loss 1.3695 (1.4268) Prec@1 67.969 (67.050) Prec@5 87.500 (86.003) Epoch: [64][8790/10010] Time 0.323 (0.326) Data 0.000 (0.001) Loss 1.1837 (1.4269) Prec@1 67.969 (67.050) Prec@5 89.844 (86.003) Epoch: [64][8800/10010] Time 0.326 (0.326) Data 0.001 (0.001) Loss 1.3590 (1.4269) Prec@1 66.406 (67.050) Prec@5 85.938 (86.003) Epoch: [64][8810/10010] Time 0.314 (0.326) Data 0.001 (0.001) Loss 1.4114 (1.4269) Prec@1 68.750 (67.049) Prec@5 85.156 (86.001) Epoch: [64][8820/10010] Time 0.340 (0.326) Data 0.001 (0.001) Loss 1.6217 (1.4269) Prec@1 64.062 (67.051) Prec@5 81.250 (86.002) Epoch: [64][8830/10010] Time 0.315 (0.326) Data 0.001 (0.001) Loss 1.3051 (1.4269) Prec@1 68.750 (67.051) Prec@5 87.500 (86.001) Epoch: [64][8840/10010] Time 0.320 (0.326) Data 0.000 (0.001) Loss 1.5274 (1.4269) Prec@1 65.625 (67.049) Prec@5 84.375 (86.000) Epoch: [64][8850/10010] Time 0.331 (0.326) Data 0.001 (0.001) Loss 1.7004 (1.4269) Prec@1 65.625 (67.049) Prec@5 81.250 (86.000) Epoch: [64][8860/10010] Time 0.332 (0.326) Data 0.001 (0.001) Loss 1.4991 (1.4269) Prec@1 62.500 (67.050) Prec@5 84.375 (86.000) Epoch: [64][8870/10010] Time 0.322 (0.326) Data 0.001 (0.001) Loss 1.2886 (1.4270) Prec@1 67.969 (67.047) Prec@5 88.281 (85.999) Epoch: [64][8880/10010] Time 0.345 (0.326) Data 0.001 (0.001) Loss 1.2768 (1.4271) Prec@1 67.188 (67.047) Prec@5 90.625 (85.997) Epoch: [64][8890/10010] Time 0.331 (0.326) Data 0.001 (0.001) Loss 1.2780 (1.4271) Prec@1 73.438 (67.048) Prec@5 89.844 (85.998) Epoch: [64][8900/10010] Time 0.342 (0.326) Data 0.001 (0.001) Loss 1.4841 (1.4272) Prec@1 64.844 (67.046) Prec@5 88.281 (85.996) Epoch: [64][8910/10010] Time 0.340 (0.326) Data 0.001 (0.001) Loss 1.4366 (1.4272) Prec@1 65.625 (67.045) Prec@5 85.938 (85.995) Epoch: [64][8920/10010] Time 0.316 (0.326) Data 0.001 (0.001) Loss 1.7297 (1.4272) Prec@1 59.375 (67.043) Prec@5 82.031 (85.994) Epoch: [64][8930/10010] Time 0.333 (0.326) Data 0.001 (0.001) Loss 1.4329 (1.4273) Prec@1 67.969 (67.042) Prec@5 85.156 (85.993) Epoch: [64][8940/10010] Time 0.328 (0.326) Data 0.000 (0.001) Loss 1.3530 (1.4274) Prec@1 71.094 (67.041) Prec@5 85.156 (85.991) Epoch: [64][8950/10010] Time 0.323 (0.326) Data 0.001 (0.001) Loss 1.2143 (1.4274) Prec@1 69.531 (67.041) Prec@5 90.625 (85.991) Epoch: [64][8960/10010] Time 0.333 (0.326) Data 0.000 (0.001) Loss 1.2741 (1.4273) Prec@1 69.531 (67.042) Prec@5 87.500 (85.992) Epoch: [64][8970/10010] Time 0.341 (0.326) Data 0.001 (0.001) Loss 1.3132 (1.4274) Prec@1 70.312 (67.042) Prec@5 87.500 (85.993) Epoch: [64][8980/10010] Time 0.330 (0.326) Data 0.001 (0.001) Loss 1.6144 (1.4276) Prec@1 64.844 (67.037) Prec@5 83.594 (85.991) Epoch: [64][8990/10010] Time 0.333 (0.326) Data 0.000 (0.001) Loss 1.5332 (1.4275) Prec@1 63.281 (67.038) Prec@5 86.719 (85.993) Epoch: [64][9000/10010] Time 0.316 (0.326) Data 0.001 (0.001) Loss 1.2873 (1.4276) Prec@1 70.312 (67.035) Prec@5 85.156 (85.990) Epoch: [64][9010/10010] Time 0.340 (0.326) Data 0.000 (0.001) Loss 1.1885 (1.4276) Prec@1 70.312 (67.037) Prec@5 91.406 (85.991) Epoch: [64][9020/10010] Time 0.317 (0.326) Data 0.001 (0.001) Loss 1.8864 (1.4276) Prec@1 58.594 (67.036) Prec@5 80.469 (85.990) Epoch: [64][9030/10010] Time 0.339 (0.326) Data 0.000 (0.001) Loss 1.2069 (1.4276) Prec@1 71.094 (67.036) Prec@5 89.062 (85.990) Epoch: [64][9040/10010] Time 0.319 (0.326) Data 0.000 (0.001) Loss 1.2145 (1.4276) Prec@1 75.000 (67.036) Prec@5 89.844 (85.989) Epoch: [64][9050/10010] Time 0.319 (0.326) Data 0.001 (0.001) Loss 1.6254 (1.4277) Prec@1 63.281 (67.035) Prec@5 78.906 (85.988) Epoch: [64][9060/10010] Time 0.336 (0.326) Data 0.000 (0.001) Loss 1.5336 (1.4276) Prec@1 67.969 (67.036) Prec@5 85.938 (85.989) Epoch: [64][9070/10010] Time 0.338 (0.326) Data 0.001 (0.001) Loss 1.4317 (1.4277) Prec@1 67.188 (67.035) Prec@5 82.812 (85.988) Epoch: [64][9080/10010] Time 0.337 (0.326) Data 0.001 (0.001) Loss 1.4000 (1.4278) Prec@1 64.844 (67.034) Prec@5 86.719 (85.988) Epoch: [64][9090/10010] Time 0.314 (0.326) Data 0.001 (0.001) Loss 1.4855 (1.4278) Prec@1 63.281 (67.031) Prec@5 84.375 (85.987) Epoch: [64][9100/10010] Time 0.330 (0.326) Data 0.001 (0.001) Loss 1.4887 (1.4279) Prec@1 67.188 (67.030) Prec@5 85.156 (85.985) Epoch: [64][9110/10010] Time 0.335 (0.326) Data 0.001 (0.001) Loss 1.3315 (1.4279) Prec@1 69.531 (67.032) Prec@5 85.156 (85.987) Epoch: [64][9120/10010] Time 0.335 (0.326) Data 0.001 (0.001) Loss 1.4066 (1.4278) Prec@1 64.844 (67.032) Prec@5 85.938 (85.987) Epoch: [64][9130/10010] Time 0.317 (0.326) Data 0.000 (0.001) Loss 1.4253 (1.4278) Prec@1 66.406 (67.032) Prec@5 86.719 (85.987) Epoch: [64][9140/10010] Time 0.318 (0.326) Data 0.000 (0.001) Loss 1.3965 (1.4279) Prec@1 66.406 (67.031) Prec@5 89.844 (85.987) Epoch: [64][9150/10010] Time 0.338 (0.326) Data 0.001 (0.001) Loss 1.9427 (1.4279) Prec@1 57.031 (67.030) Prec@5 82.031 (85.987) Epoch: [64][9160/10010] Time 0.323 (0.326) Data 0.001 (0.001) Loss 1.6957 (1.4280) Prec@1 60.938 (67.029) Prec@5 82.031 (85.985) Epoch: [64][9170/10010] Time 0.339 (0.326) Data 0.001 (0.001) Loss 1.1621 (1.4280) Prec@1 65.625 (67.030) Prec@5 90.625 (85.985) Epoch: [64][9180/10010] Time 0.308 (0.326) Data 0.001 (0.001) Loss 1.2316 (1.4279) Prec@1 71.094 (67.031) Prec@5 88.281 (85.987) Epoch: [64][9190/10010] Time 0.315 (0.326) Data 0.001 (0.001) Loss 1.4160 (1.4279) Prec@1 69.531 (67.030) Prec@5 85.938 (85.987) Epoch: [64][9200/10010] Time 0.333 (0.326) Data 0.001 (0.001) Loss 1.1502 (1.4279) Prec@1 72.656 (67.029) Prec@5 90.625 (85.988) Epoch: [64][9210/10010] Time 0.323 (0.326) Data 0.000 (0.001) Loss 1.5952 (1.4280) Prec@1 62.500 (67.027) Prec@5 79.688 (85.986) Epoch: [64][9220/10010] Time 0.337 (0.326) Data 0.000 (0.001) Loss 1.3513 (1.4280) Prec@1 70.312 (67.027) Prec@5 89.062 (85.985) Epoch: [64][9230/10010] Time 0.328 (0.326) Data 0.000 (0.001) Loss 1.3846 (1.4279) Prec@1 67.969 (67.029) Prec@5 82.812 (85.986) Epoch: [64][9240/10010] Time 0.319 (0.326) Data 0.001 (0.001) Loss 1.4386 (1.4279) Prec@1 64.844 (67.030) Prec@5 87.500 (85.986) Epoch: [64][9250/10010] Time 0.318 (0.326) Data 0.001 (0.001) Loss 1.1409 (1.4278) Prec@1 72.656 (67.033) Prec@5 90.625 (85.989) Epoch: [64][9260/10010] Time 0.314 (0.326) Data 0.001 (0.001) Loss 1.3470 (1.4278) Prec@1 67.969 (67.031) Prec@5 86.719 (85.988) Epoch: [64][9270/10010] Time 0.326 (0.326) Data 0.001 (0.001) Loss 1.5393 (1.4278) Prec@1 69.531 (67.034) Prec@5 84.375 (85.987) Epoch: [64][9280/10010] Time 0.320 (0.326) Data 0.000 (0.001) Loss 1.3990 (1.4279) Prec@1 67.969 (67.032) Prec@5 86.719 (85.986) Epoch: [64][9290/10010] Time 0.326 (0.326) Data 0.001 (0.001) Loss 1.1580 (1.4278) Prec@1 64.062 (67.032) Prec@5 92.188 (85.987) Epoch: [64][9300/10010] Time 0.346 (0.326) Data 0.001 (0.001) Loss 1.3246 (1.4279) Prec@1 71.875 (67.028) Prec@5 86.719 (85.986) Epoch: [64][9310/10010] Time 0.323 (0.326) Data 0.000 (0.001) Loss 1.4830 (1.4280) Prec@1 62.500 (67.025) Prec@5 85.938 (85.985) Epoch: [64][9320/10010] Time 0.317 (0.326) Data 0.001 (0.001) Loss 1.7129 (1.4281) Prec@1 61.719 (67.023) Prec@5 84.375 (85.983) Epoch: [64][9330/10010] Time 0.336 (0.326) Data 0.001 (0.001) Loss 1.2762 (1.4280) Prec@1 69.531 (67.024) Prec@5 87.500 (85.984) Epoch: [64][9340/10010] Time 0.319 (0.326) Data 0.000 (0.001) Loss 1.1460 (1.4280) Prec@1 71.875 (67.024) Prec@5 90.625 (85.985) Epoch: [64][9350/10010] Time 0.324 (0.326) Data 0.001 (0.001) Loss 1.4897 (1.4280) Prec@1 65.625 (67.023) Prec@5 87.500 (85.985) Epoch: [64][9360/10010] Time 0.316 (0.326) Data 0.001 (0.001) Loss 1.1270 (1.4279) Prec@1 70.312 (67.026) Prec@5 88.281 (85.987) Epoch: [64][9370/10010] Time 0.311 (0.326) Data 0.000 (0.001) Loss 1.4683 (1.4279) Prec@1 68.750 (67.026) Prec@5 85.156 (85.986) Epoch: [64][9380/10010] Time 0.314 (0.326) Data 0.001 (0.001) Loss 1.6880 (1.4280) Prec@1 57.812 (67.023) Prec@5 85.938 (85.985) Epoch: [64][9390/10010] Time 0.327 (0.326) Data 0.001 (0.001) Loss 1.4291 (1.4280) Prec@1 64.062 (67.022) Prec@5 83.594 (85.985) Epoch: [64][9400/10010] Time 0.340 (0.326) Data 0.000 (0.001) Loss 1.4013 (1.4280) Prec@1 68.750 (67.020) Prec@5 86.719 (85.985) Epoch: [64][9410/10010] Time 0.320 (0.326) Data 0.000 (0.001) Loss 1.3763 (1.4280) Prec@1 65.625 (67.021) Prec@5 89.062 (85.986) Epoch: [64][9420/10010] Time 0.319 (0.326) Data 0.000 (0.001) Loss 1.4240 (1.4280) Prec@1 64.844 (67.022) Prec@5 85.938 (85.987) Epoch: [64][9430/10010] Time 0.328 (0.326) Data 0.000 (0.001) Loss 1.4026 (1.4280) Prec@1 68.750 (67.021) Prec@5 85.156 (85.986) Epoch: [64][9440/10010] Time 0.312 (0.326) Data 0.001 (0.001) Loss 1.4068 (1.4281) Prec@1 63.281 (67.019) Prec@5 84.375 (85.986) Epoch: [64][9450/10010] Time 0.314 (0.326) Data 0.001 (0.001) Loss 1.3087 (1.4280) Prec@1 66.406 (67.020) Prec@5 89.062 (85.987) Epoch: [64][9460/10010] Time 0.327 (0.326) Data 0.001 (0.001) Loss 1.2655 (1.4279) Prec@1 70.312 (67.023) Prec@5 88.281 (85.989) Epoch: [64][9470/10010] Time 0.338 (0.326) Data 0.001 (0.001) Loss 1.4173 (1.4278) Prec@1 58.594 (67.022) Prec@5 89.062 (85.990) Epoch: [64][9480/10010] Time 0.341 (0.326) Data 0.001 (0.001) Loss 1.3318 (1.4277) Prec@1 71.094 (67.024) Prec@5 86.719 (85.991) Epoch: [64][9490/10010] Time 0.333 (0.326) Data 0.001 (0.001) Loss 1.7477 (1.4278) Prec@1 64.062 (67.024) Prec@5 80.469 (85.990) Epoch: [64][9500/10010] Time 0.329 (0.326) Data 0.001 (0.001) Loss 1.5544 (1.4279) Prec@1 60.938 (67.023) Prec@5 82.031 (85.989) Epoch: [64][9510/10010] Time 0.326 (0.326) Data 0.001 (0.001) Loss 1.5813 (1.4278) Prec@1 64.062 (67.026) Prec@5 83.594 (85.989) Epoch: [64][9520/10010] Time 0.336 (0.326) Data 0.000 (0.001) Loss 1.5716 (1.4278) Prec@1 65.625 (67.028) Prec@5 86.719 (85.989) Epoch: [64][9530/10010] Time 0.320 (0.326) Data 0.001 (0.001) Loss 1.5079 (1.4278) Prec@1 68.750 (67.027) Prec@5 81.250 (85.988) Epoch: [64][9540/10010] Time 0.322 (0.326) Data 0.001 (0.001) Loss 1.1917 (1.4279) Prec@1 72.656 (67.026) Prec@5 89.844 (85.987) Epoch: [64][9550/10010] Time 0.338 (0.326) Data 0.001 (0.001) Loss 1.3900 (1.4278) Prec@1 68.750 (67.026) Prec@5 85.156 (85.987) Epoch: [64][9560/10010] Time 0.327 (0.326) Data 0.001 (0.001) Loss 1.4914 (1.4279) Prec@1 71.875 (67.026) Prec@5 85.156 (85.986) Epoch: [64][9570/10010] Time 0.325 (0.326) Data 0.001 (0.001) Loss 1.4201 (1.4279) Prec@1 66.406 (67.026) Prec@5 87.500 (85.987) Epoch: [64][9580/10010] Time 0.310 (0.326) Data 0.000 (0.001) Loss 1.3110 (1.4278) Prec@1 67.969 (67.026) Prec@5 87.500 (85.987) Epoch: [64][9590/10010] Time 0.335 (0.326) Data 0.001 (0.001) Loss 1.4375 (1.4279) Prec@1 66.406 (67.025) Prec@5 86.719 (85.987) Epoch: [64][9600/10010] Time 0.324 (0.326) Data 0.000 (0.001) Loss 1.2322 (1.4280) Prec@1 75.000 (67.025) Prec@5 87.500 (85.986) Epoch: [64][9610/10010] Time 0.326 (0.326) Data 0.001 (0.001) Loss 1.3811 (1.4281) Prec@1 65.625 (67.022) Prec@5 88.281 (85.985) Epoch: [64][9620/10010] Time 0.333 (0.326) Data 0.001 (0.001) Loss 1.8030 (1.4282) Prec@1 57.031 (67.019) Prec@5 75.781 (85.983) Epoch: [64][9630/10010] Time 0.332 (0.326) Data 0.001 (0.001) Loss 1.5699 (1.4280) Prec@1 60.938 (67.023) Prec@5 86.719 (85.985) Epoch: [64][9640/10010] Time 0.324 (0.326) Data 0.001 (0.001) Loss 1.7138 (1.4281) Prec@1 64.844 (67.022) Prec@5 85.156 (85.984) Epoch: [64][9650/10010] Time 0.324 (0.326) Data 0.001 (0.001) Loss 1.4980 (1.4282) Prec@1 68.750 (67.020) Prec@5 83.594 (85.983) Epoch: [64][9660/10010] Time 0.324 (0.326) Data 0.001 (0.001) Loss 1.3386 (1.4281) Prec@1 69.531 (67.020) Prec@5 88.281 (85.984) Epoch: [64][9670/10010] Time 0.331 (0.326) Data 0.000 (0.001) Loss 1.2549 (1.4281) Prec@1 66.406 (67.022) Prec@5 86.719 (85.985) Epoch: [64][9680/10010] Time 0.326 (0.326) Data 0.001 (0.001) Loss 1.5635 (1.4281) Prec@1 67.969 (67.023) Prec@5 88.281 (85.985) Epoch: [64][9690/10010] Time 0.307 (0.326) Data 0.000 (0.001) Loss 1.2400 (1.4280) Prec@1 70.312 (67.025) Prec@5 92.188 (85.986) Epoch: [64][9700/10010] Time 0.313 (0.326) Data 0.000 (0.001) Loss 1.3992 (1.4280) Prec@1 71.094 (67.026) Prec@5 86.719 (85.987) Epoch: [64][9710/10010] Time 0.317 (0.326) Data 0.001 (0.001) Loss 1.5561 (1.4280) Prec@1 67.188 (67.026) Prec@5 86.719 (85.987) Epoch: [64][9720/10010] Time 0.314 (0.326) Data 0.001 (0.001) Loss 1.5460 (1.4281) Prec@1 64.844 (67.024) Prec@5 83.594 (85.987) Epoch: [64][9730/10010] Time 0.331 (0.326) Data 0.001 (0.001) Loss 1.6745 (1.4282) Prec@1 54.688 (67.020) Prec@5 82.812 (85.986) Epoch: [64][9740/10010] Time 0.337 (0.326) Data 0.001 (0.001) Loss 1.3518 (1.4282) Prec@1 67.969 (67.022) Prec@5 89.062 (85.986) Epoch: [64][9750/10010] Time 0.325 (0.326) Data 0.001 (0.001) Loss 1.2225 (1.4282) Prec@1 71.094 (67.020) Prec@5 89.844 (85.985) Epoch: [64][9760/10010] Time 0.323 (0.326) Data 0.000 (0.001) Loss 1.5131 (1.4282) Prec@1 67.188 (67.020) Prec@5 85.156 (85.985) Epoch: [64][9770/10010] Time 0.336 (0.326) Data 0.001 (0.001) Loss 1.2369 (1.4282) Prec@1 69.531 (67.021) Prec@5 89.062 (85.985) Epoch: [64][9780/10010] Time 0.320 (0.326) Data 0.001 (0.001) Loss 1.2503 (1.4281) Prec@1 71.875 (67.023) Prec@5 88.281 (85.985) Epoch: [64][9790/10010] Time 0.322 (0.326) Data 0.001 (0.001) Loss 1.5530 (1.4282) Prec@1 67.969 (67.020) Prec@5 84.375 (85.984) Epoch: [64][9800/10010] Time 0.323 (0.326) Data 0.001 (0.001) Loss 1.0733 (1.4281) Prec@1 73.438 (67.022) Prec@5 89.844 (85.985) Epoch: [64][9810/10010] Time 0.334 (0.326) Data 0.001 (0.001) Loss 1.0890 (1.4281) Prec@1 75.000 (67.023) Prec@5 88.281 (85.983) Epoch: [64][9820/10010] Time 0.341 (0.326) Data 0.001 (0.001) Loss 1.3472 (1.4281) Prec@1 67.188 (67.023) Prec@5 88.281 (85.984) Epoch: [64][9830/10010] Time 0.317 (0.326) Data 0.001 (0.001) Loss 1.6412 (1.4280) Prec@1 63.281 (67.023) Prec@5 81.250 (85.984) Epoch: [64][9840/10010] Time 0.315 (0.326) Data 0.001 (0.001) Loss 1.2440 (1.4280) Prec@1 73.438 (67.025) Prec@5 88.281 (85.985) Epoch: [64][9850/10010] Time 0.325 (0.326) Data 0.000 (0.001) Loss 1.1539 (1.4279) Prec@1 75.781 (67.028) Prec@5 89.844 (85.986) Epoch: [64][9860/10010] Time 0.334 (0.326) Data 0.001 (0.001) Loss 1.4191 (1.4280) Prec@1 68.750 (67.026) Prec@5 85.156 (85.984) Epoch: [64][9870/10010] Time 0.331 (0.326) Data 0.000 (0.001) Loss 1.5454 (1.4280) Prec@1 64.844 (67.025) Prec@5 85.156 (85.983) Epoch: [64][9880/10010] Time 0.319 (0.326) Data 0.001 (0.001) Loss 1.4105 (1.4279) Prec@1 68.750 (67.026) Prec@5 87.500 (85.985) Epoch: [64][9890/10010] Time 0.322 (0.326) Data 0.001 (0.001) Loss 1.3855 (1.4279) Prec@1 66.406 (67.026) Prec@5 84.375 (85.985) Epoch: [64][9900/10010] Time 0.333 (0.326) Data 0.001 (0.001) Loss 1.5238 (1.4280) Prec@1 67.969 (67.025) Prec@5 83.594 (85.983) Epoch: [64][9910/10010] Time 0.310 (0.326) Data 0.001 (0.001) Loss 1.6505 (1.4280) Prec@1 64.844 (67.026) Prec@5 82.812 (85.984) Epoch: [64][9920/10010] Time 0.327 (0.326) Data 0.001 (0.001) Loss 1.3885 (1.4280) Prec@1 65.625 (67.026) Prec@5 85.156 (85.984) Epoch: [64][9930/10010] Time 0.312 (0.326) Data 0.001 (0.001) Loss 1.0983 (1.4279) Prec@1 72.656 (67.028) Prec@5 92.969 (85.985) Epoch: [64][9940/10010] Time 0.320 (0.326) Data 0.001 (0.001) Loss 1.3969 (1.4279) Prec@1 64.062 (67.029) Prec@5 88.281 (85.984) Epoch: [64][9950/10010] Time 0.314 (0.326) Data 0.001 (0.001) Loss 1.5792 (1.4279) Prec@1 60.938 (67.028) Prec@5 87.500 (85.984) Epoch: [64][9960/10010] Time 0.322 (0.326) Data 0.000 (0.001) Loss 1.0962 (1.4280) Prec@1 71.094 (67.029) Prec@5 92.188 (85.983) Epoch: [64][9970/10010] Time 0.315 (0.326) Data 0.001 (0.001) Loss 1.3056 (1.4279) Prec@1 70.312 (67.031) Prec@5 85.156 (85.983) Epoch: [64][9980/10010] Time 0.333 (0.326) Data 0.001 (0.001) Loss 1.2341 (1.4279) Prec@1 71.875 (67.033) Prec@5 88.281 (85.984) Epoch: [64][9990/10010] Time 0.324 (0.326) Data 0.001 (0.001) Loss 1.4091 (1.4278) Prec@1 70.312 (67.035) Prec@5 89.844 (85.984) Epoch: [64][10000/10010] Time 0.313 (0.326) Data 0.000 (0.001) Loss 1.1721 (1.4278) Prec@1 67.969 (67.035) Prec@5 88.281 (85.985) Test: [0/391] Time 1.310 (1.310) Loss 0.7579 (0.7579) Prec@1 82.812 (82.812) Prec@5 94.531 (94.531) Test: [10/391] Time 0.107 (0.221) Loss 1.2815 (0.6647) Prec@1 71.094 (84.020) Prec@5 90.625 (95.241) Test: [20/391] Time 0.102 (0.165) Loss 0.8281 (0.9200) Prec@1 81.250 (77.641) Prec@5 92.188 (92.560) Test: [30/391] Time 0.103 (0.146) Loss 1.8500 (1.0598) Prec@1 65.625 (73.816) Prec@5 85.938 (91.683) Test: [40/391] Time 0.105 (0.140) Loss 0.9453 (0.9503) Prec@1 77.344 (76.334) Prec@5 89.844 (92.683) Test: [50/391] Time 0.104 (0.133) Loss 0.5059 (0.9783) Prec@1 85.938 (76.164) Prec@5 96.875 (92.188) Test: [60/391] Time 0.105 (0.128) Loss 1.0736 (0.9238) Prec@1 76.562 (77.446) Prec@5 90.625 (92.738) Test: [70/391] Time 0.119 (0.125) Loss 1.1100 (0.9500) Prec@1 66.406 (76.540) Prec@5 96.094 (92.793) Test: [80/391] Time 0.112 (0.124) Loss 0.9409 (0.9632) Prec@1 75.781 (75.675) Prec@5 93.750 (92.834) Test: [90/391] Time 0.108 (0.122) Loss 1.1052 (0.9656) Prec@1 61.719 (75.438) Prec@5 93.750 (92.934) Test: [100/391] Time 0.104 (0.121) Loss 0.7083 (0.9555) Prec@1 80.469 (75.371) Prec@5 96.875 (93.193) Test: [110/391] Time 0.105 (0.119) Loss 1.2741 (0.9579) Prec@1 52.344 (75.049) Prec@5 94.531 (93.321) Test: [120/391] Time 0.113 (0.118) Loss 0.7461 (0.9509) Prec@1 82.812 (75.297) Prec@5 96.094 (93.388) Test: [130/391] Time 0.107 (0.118) Loss 0.5141 (0.9434) Prec@1 87.500 (75.561) Prec@5 96.875 (93.434) Test: [140/391] Time 0.108 (0.117) Loss 1.2495 (0.9428) Prec@1 66.406 (75.526) Prec@5 91.406 (93.490) Test: [150/391] Time 0.101 (0.116) Loss 0.9345 (0.9482) Prec@1 68.750 (75.502) Prec@5 94.531 (93.341) Test: [160/391] Time 0.108 (0.115) Loss 0.9371 (0.9543) Prec@1 73.438 (75.388) Prec@5 92.188 (93.270) Test: [170/391] Time 0.100 (0.114) Loss 1.6864 (0.9842) Prec@1 60.156 (74.836) Prec@5 86.719 (92.923) Test: [180/391] Time 0.103 (0.114) Loss 1.9199 (1.0148) Prec@1 55.469 (74.201) Prec@5 87.500 (92.511) Test: [190/391] Time 0.104 (0.114) Loss 1.9982 (1.0474) Prec@1 55.469 (73.560) Prec@5 83.594 (92.085) Test: [200/391] Time 0.100 (0.113) Loss 1.2127 (1.0775) Prec@1 65.625 (72.944) Prec@5 89.844 (91.655) Test: [210/391] Time 0.103 (0.113) Loss 1.6181 (1.0969) Prec@1 66.406 (72.571) Prec@5 85.156 (91.399) Test: [220/391] Time 0.103 (0.113) Loss 0.6791 (1.1073) Prec@1 81.250 (72.398) Prec@5 95.312 (91.208) Test: [230/391] Time 0.102 (0.113) Loss 2.0149 (1.1207) Prec@1 53.125 (72.162) Prec@5 81.250 (91.071) Test: [240/391] Time 0.102 (0.113) Loss 1.4121 (1.1285) Prec@1 71.875 (72.082) Prec@5 86.719 (90.946) Test: [250/391] Time 0.113 (0.112) Loss 0.8834 (1.1528) Prec@1 77.344 (71.464) Prec@5 92.969 (90.637) Test: [260/391] Time 0.101 (0.112) Loss 1.3958 (1.1676) Prec@1 67.188 (71.178) Prec@5 83.594 (90.442) Test: [270/391] Time 0.114 (0.112) Loss 2.0392 (1.1785) Prec@1 47.656 (70.895) Prec@5 81.250 (90.282) Test: [280/391] Time 0.106 (0.112) Loss 1.3444 (1.1853) Prec@1 64.062 (70.768) Prec@5 92.969 (90.241) Test: [290/391] Time 0.112 (0.112) Loss 1.5991 (1.1965) Prec@1 54.688 (70.533) Prec@5 89.844 (90.048) Test: [300/391] Time 0.110 (0.112) Loss 1.2459 (1.2071) Prec@1 73.438 (70.333) Prec@5 87.500 (89.888) Test: [310/391] Time 0.103 (0.112) Loss 1.4731 (1.2164) Prec@1 66.406 (70.192) Prec@5 86.719 (89.743) Test: [320/391] Time 0.107 (0.112) Loss 0.7540 (1.2236) Prec@1 82.812 (70.086) Prec@5 92.969 (89.661) Test: [330/391] Time 0.104 (0.111) Loss 1.8179 (1.2417) Prec@1 60.156 (69.682) Prec@5 79.688 (89.405) Test: [340/391] Time 0.103 (0.111) Loss 1.0890 (1.2467) Prec@1 64.062 (69.518) Prec@5 95.312 (89.340) Test: [350/391] Time 0.108 (0.111) Loss 1.2413 (1.2508) Prec@1 71.094 (69.447) Prec@5 89.844 (89.261) Test: [360/391] Time 0.160 (0.111) Loss 1.4705 (1.2584) Prec@1 59.375 (69.267) Prec@5 88.281 (89.210) Test: [370/391] Time 0.106 (0.111) Loss 1.2512 (1.2545) Prec@1 63.281 (69.310) Prec@5 92.969 (89.265) Test: [380/391] Time 0.103 (0.111) Loss 1.0572 (1.2570) Prec@1 78.125 (69.265) Prec@5 92.969 (89.237) Test: [390/391] Time 0.070 (0.110) Loss 1.9461 (1.2516) Prec@1 46.250 (69.406) Prec@5 80.000 (89.300) * Prec@1 69.406 Prec@5 89.300 Epoch: [65][0/10010] Time 3.649 (3.649) Data 3.462 (3.462) Loss 1.2875 (1.2875) Prec@1 72.656 (72.656) Prec@5 86.719 (86.719) Epoch: [65][10/10010] Time 0.315 (0.618) Data 0.001 (0.315) Loss 1.4095 (1.4276) Prec@1 68.750 (67.401) Prec@5 85.156 (86.080) Epoch: [65][20/10010] Time 0.315 (0.474) Data 0.001 (0.165) Loss 1.3404 (1.4197) Prec@1 69.531 (67.188) Prec@5 87.500 (86.198) Epoch: [65][30/10010] Time 0.325 (0.423) Data 0.000 (0.112) Loss 1.2730 (1.3927) Prec@1 64.844 (67.692) Prec@5 87.500 (86.341) Epoch: [65][40/10010] Time 0.320 (0.397) Data 0.001 (0.085) Loss 1.5792 (1.4043) Prec@1 64.844 (67.378) Prec@5 82.031 (86.204) Epoch: [65][50/10010] Time 0.310 (0.381) Data 0.001 (0.068) Loss 1.3766 (1.3983) Prec@1 67.969 (67.632) Prec@5 85.938 (86.229) Epoch: [65][60/10010] Time 0.313 (0.370) Data 0.001 (0.057) Loss 1.3872 (1.3870) Prec@1 66.406 (67.866) Prec@5 85.156 (86.373) Epoch: [65][70/10010] Time 0.312 (0.363) Data 0.000 (0.049) Loss 1.8460 (1.3917) Prec@1 57.031 (67.859) Prec@5 77.344 (86.279) Epoch: [65][80/10010] Time 0.312 (0.357) Data 0.000 (0.043) Loss 1.5062 (1.3856) Prec@1 60.156 (67.853) Prec@5 89.062 (86.391) Epoch: [65][90/10010] Time 0.311 (0.353) Data 0.001 (0.039) Loss 1.3940 (1.3871) Prec@1 69.531 (67.849) Prec@5 86.719 (86.444) Epoch: [65][100/10010] Time 0.325 (0.350) Data 0.000 (0.035) Loss 1.3253 (1.3927) Prec@1 67.188 (67.644) Prec@5 87.500 (86.317) Epoch: [65][110/10010] Time 0.312 (0.348) Data 0.000 (0.032) Loss 1.5888 (1.3949) Prec@1 64.062 (67.631) Prec@5 83.594 (86.282) Epoch: [65][120/10010] Time 0.318 (0.346) Data 0.001 (0.029) Loss 1.3463 (1.3937) Prec@1 71.094 (67.814) Prec@5 86.719 (86.222) Epoch: [65][130/10010] Time 0.321 (0.344) Data 0.001 (0.027) Loss 1.2587 (1.3880) Prec@1 73.438 (67.844) Prec@5 87.500 (86.307) Epoch: [65][140/10010] Time 0.319 (0.343) Data 0.000 (0.025) Loss 1.1220 (1.3884) Prec@1 69.531 (67.908) Prec@5 90.625 (86.375) Epoch: [65][150/10010] Time 0.323 (0.341) Data 0.000 (0.024) Loss 1.4535 (1.3958) Prec@1 64.844 (67.663) Prec@5 85.938 (86.310) /data/vision/torralba/deepscene/lib/anaconda2/lib/python2.7/site-packages/PIL/TiffImagePlugin.py:692: UserWarning: Possibly corrupt EXIF data. Expecting to read 1835008 bytes but only got 0. Skipping tag 0 "Skipping tag %s" % (size, len(data), tag)) Epoch: [65][160/10010] Time 0.322 (0.340) Data 0.001 (0.022) Loss 1.7496 (1.3964) Prec@1 61.719 (67.780) Prec@5 82.812 (86.277) Epoch: [65][170/10010] Time 0.344 (0.339) Data 0.000 (0.021) Loss 1.3172 (1.4007) Prec@1 69.531 (67.708) Prec@5 85.938 (86.171) Epoch: [65][180/10010] Time 0.322 (0.338) Data 0.001 (0.020) Loss 1.7541 (1.4072) Prec@1 62.500 (67.610) Prec@5 78.906 (86.076) Epoch: [65][190/10010] Time 0.309 (0.337) Data 0.000 (0.019) Loss 1.4280 (1.4105) Prec@1 64.844 (67.482) Prec@5 88.281 (86.044) Epoch: [65][200/10010] Time 0.316 (0.336) Data 0.001 (0.018) Loss 1.0371 (1.4067) Prec@1 71.875 (67.545) Prec@5 92.188 (86.101) Epoch: [65][210/10010] Time 0.315 (0.336) Data 0.001 (0.017) Loss 1.1130 (1.4041) Prec@1 74.219 (67.591) Prec@5 89.844 (86.093) Epoch: [65][220/10010] Time 0.331 (0.335) Data 0.001 (0.016) Loss 1.3451 (1.3979) Prec@1 64.844 (67.693) Prec@5 86.719 (86.192) Epoch: [65][230/10010] Time 0.340 (0.335) Data 0.000 (0.016) Loss 1.2498 (1.4010) Prec@1 71.875 (67.587) Prec@5 89.844 (86.157) Epoch: [65][240/10010] Time 0.323 (0.335) Data 0.001 (0.015) Loss 1.3278 (1.4002) Prec@1 69.531 (67.677) Prec@5 86.719 (86.187) Epoch: [65][250/10010] Time 0.312 (0.334) Data 0.001 (0.014) Loss 1.4380 (1.4028) Prec@1 67.188 (67.633) Prec@5 85.156 (86.180) Epoch: [65][260/10010] Time 0.315 (0.334) Data 0.001 (0.014) Loss 1.1762 (1.4017) Prec@1 72.656 (67.625) Prec@5 90.625 (86.243) Epoch: [65][270/10010] Time 0.313 (0.333) Data 0.001 (0.013) Loss 1.2112 (1.4033) Prec@1 72.656 (67.652) Prec@5 89.844 (86.214) Epoch: [65][280/10010] Time 0.320 (0.333) Data 0.001 (0.013) Loss 1.1318 (1.4055) Prec@1 69.531 (67.602) Prec@5 90.625 (86.163) Epoch: [65][290/10010] Time 0.334 (0.333) Data 0.001 (0.013) Loss 1.1442 (1.4048) Prec@1 73.438 (67.579) Prec@5 91.406 (86.182) Epoch: [65][300/10010] Time 0.331 (0.332) Data 0.001 (0.012) Loss 1.5024 (1.4063) Prec@1 67.188 (67.551) Prec@5 83.594 (86.148) Epoch: [65][310/10010] Time 0.321 (0.332) Data 0.001 (0.012) Loss 1.3124 (1.4037) Prec@1 67.188 (67.602) Prec@5 88.281 (86.186) Epoch: [65][320/10010] Time 0.323 (0.332) Data 0.001 (0.011) Loss 1.5548 (1.4029) Prec@1 65.625 (67.638) Prec@5 85.938 (86.193) Epoch: [65][330/10010] Time 0.332 (0.332) Data 0.001 (0.011) Loss 1.4137 (1.4039) Prec@1 64.062 (67.650) Prec@5 85.156 (86.183) Epoch: [65][340/10010] Time 0.325 (0.332) Data 0.001 (0.011) Loss 1.3257 (1.4023) Prec@1 67.188 (67.675) Prec@5 86.719 (86.196) Epoch: [65][350/10010] Time 0.332 (0.331) Data 0.000 (0.011) Loss 1.5138 (1.4030) Prec@1 71.094 (67.653) Prec@5 84.375 (86.211) Epoch: [65][360/10010] Time 0.329 (0.331) Data 0.001 (0.010) Loss 1.3262 (1.4022) Prec@1 63.281 (67.640) Prec@5 87.500 (86.217) Epoch: [65][370/10010] Time 0.316 (0.331) Data 0.001 (0.010) Loss 1.6230 (1.4026) Prec@1 65.625 (67.689) Prec@5 84.375 (86.197) Epoch: [65][380/10010] Time 0.342 (0.331) Data 0.001 (0.010) Loss 1.5485 (1.4045) Prec@1 66.406 (67.641) Prec@5 83.594 (86.182) Epoch: [65][390/10010] Time 0.323 (0.331) Data 0.001 (0.009) Loss 1.2605 (1.4056) Prec@1 67.188 (67.611) Prec@5 86.719 (86.171) Epoch: [65][400/10010] Time 0.321 (0.331) Data 0.001 (0.009) Loss 1.7128 (1.4053) Prec@1 65.625 (67.593) Prec@5 82.031 (86.175) Epoch: [65][410/10010] Time 0.324 (0.330) Data 0.001 (0.009) Loss 1.3021 (1.4050) Prec@1 72.656 (67.594) Prec@5 85.938 (86.192) Epoch: [65][420/10010] Time 0.318 (0.330) Data 0.001 (0.009) Loss 1.2330 (1.4034) Prec@1 67.969 (67.598) Prec@5 91.406 (86.240) Epoch: [65][430/10010] Time 0.316 (0.330) Data 0.000 (0.009) Loss 1.3846 (1.4036) Prec@1 69.531 (67.606) Prec@5 84.375 (86.233) Epoch: [65][440/10010] Time 0.313 (0.330) Data 0.001 (0.008) Loss 1.4012 (1.4050) Prec@1 67.969 (67.591) Prec@5 87.500 (86.219) Epoch: [65][450/10010] Time 0.325 (0.330) Data 0.001 (0.008) Loss 1.2518 (1.4056) Prec@1 63.281 (67.530) Prec@5 91.406 (86.241) Epoch: [65][460/10010] Time 0.314 (0.330) Data 0.001 (0.008) Loss 1.4468 (1.4066) Prec@1 67.969 (67.540) Prec@5 82.812 (86.217) Epoch: [65][470/10010] Time 0.313 (0.329) Data 0.001 (0.008) Loss 1.2282 (1.4074) Prec@1 72.656 (67.526) Prec@5 87.500 (86.216) Epoch: [65][480/10010] Time 0.330 (0.329) Data 0.001 (0.008) Loss 1.6297 (1.4095) Prec@1 62.500 (67.441) Prec@5 85.156 (86.181) Epoch: [65][490/10010] Time 0.312 (0.329) Data 0.000 (0.008) Loss 1.3537 (1.4090) Prec@1 68.750 (67.469) Prec@5 88.281 (86.202) Epoch: [65][500/10010] Time 0.323 (0.329) Data 0.001 (0.008) Loss 1.0526 (1.4088) Prec@1 71.875 (67.479) Prec@5 91.406 (86.209) Epoch: [65][510/10010] Time 0.338 (0.329) Data 0.001 (0.007) Loss 1.3342 (1.4098) Prec@1 72.656 (67.470) Prec@5 85.156 (86.194) Epoch: [65][520/10010] Time 0.334 (0.329) Data 0.001 (0.007) Loss 1.2225 (1.4086) Prec@1 71.094 (67.505) Prec@5 90.625 (86.201) Epoch: [65][530/10010] Time 0.336 (0.329) Data 0.000 (0.007) Loss 1.3319 (1.4092) Prec@1 68.750 (67.491) Prec@5 86.719 (86.199) Epoch: [65][540/10010] Time 0.335 (0.329) Data 0.000 (0.007) Loss 1.4737 (1.4094) Prec@1 60.156 (67.463) Prec@5 89.844 (86.203) Epoch: [65][550/10010] Time 0.323 (0.329) Data 0.001 (0.007) Loss 1.5561 (1.4084) Prec@1 66.406 (67.478) Prec@5 83.594 (86.221) /data/vision/torralba/deepscene/lib/anaconda2/lib/python2.7/site-packages/PIL/TiffImagePlugin.py:692: UserWarning: Possibly corrupt EXIF data. Expecting to read 2555904 bytes but only got 0. Skipping tag 0 "Skipping tag %s" % (size, len(data), tag)) Epoch: [65][560/10010] Time 0.329 (0.329) Data 0.000 (0.007) Loss 1.4334 (1.4078) Prec@1 74.219 (67.488) Prec@5 85.156 (86.226) Epoch: [65][570/10010] Time 0.326 (0.329) Data 0.000 (0.007) Loss 1.6408 (1.4066) Prec@1 60.156 (67.490) Prec@5 82.031 (86.245) Epoch: [65][580/10010] Time 0.328 (0.329) Data 0.001 (0.007) Loss 1.4194 (1.4060) Prec@1 65.625 (67.485) Prec@5 84.375 (86.251) Epoch: [65][590/10010] Time 0.337 (0.329) Data 0.001 (0.006) Loss 1.2781 (1.4071) Prec@1 70.312 (67.481) Prec@5 85.938 (86.235) Epoch: [65][600/10010] Time 0.333 (0.329) Data 0.001 (0.006) Loss 1.5663 (1.4077) Prec@1 60.156 (67.475) Prec@5 84.375 (86.217) Epoch: [65][610/10010] Time 0.339 (0.329) Data 0.000 (0.006) Loss 1.4658 (1.4078) Prec@1 64.844 (67.468) Prec@5 83.594 (86.211) Epoch: [65][620/10010] Time 0.336 (0.329) Data 0.000 (0.006) Loss 1.5055 (1.4084) Prec@1 66.406 (67.467) Prec@5 85.156 (86.198) Epoch: [65][630/10010] Time 0.318 (0.329) Data 0.000 (0.006) Loss 1.3046 (1.4084) Prec@1 66.406 (67.478) Prec@5 87.500 (86.189) Epoch: [65][640/10010] Time 0.329 (0.329) Data 0.001 (0.006) Loss 1.5255 (1.4089) Prec@1 61.719 (67.467) Prec@5 85.938 (86.189) Epoch: [65][650/10010] Time 0.340 (0.329) Data 0.000 (0.006) Loss 1.2590 (1.4079) Prec@1 72.656 (67.480) Prec@5 87.500 (86.220) Epoch: [65][660/10010] Time 0.321 (0.329) Data 0.000 (0.006) Loss 1.4062 (1.4085) Prec@1 67.969 (67.455) Prec@5 84.375 (86.208) Epoch: [65][670/10010] Time 0.341 (0.329) Data 0.000 (0.006) Loss 1.3541 (1.4088) Prec@1 65.625 (67.446) Prec@5 86.719 (86.210) Epoch: [65][680/10010] Time 0.320 (0.329) Data 0.001 (0.006) Loss 1.2773 (1.4094) Prec@1 68.750 (67.435) Prec@5 89.844 (86.212) Epoch: [65][690/10010] Time 0.316 (0.329) Data 0.000 (0.006) Loss 1.6240 (1.4094) Prec@1 64.844 (67.426) Prec@5 85.938 (86.210) Epoch: [65][700/10010] Time 0.340 (0.329) Data 0.001 (0.006) Loss 1.2276 (1.4099) Prec@1 69.531 (67.419) Prec@5 90.625 (86.213) Epoch: [65][710/10010] Time 0.339 (0.329) Data 0.000 (0.006) Loss 1.5716 (1.4103) Prec@1 64.062 (67.406) Prec@5 81.250 (86.188) Epoch: [65][720/10010] Time 0.325 (0.329) Data 0.001 (0.005) Loss 1.1557 (1.4090) Prec@1 72.656 (67.427) Prec@5 90.625 (86.212) Epoch: [65][730/10010] Time 0.334 (0.329) Data 0.001 (0.005) Loss 1.2581 (1.4088) Prec@1 67.969 (67.426) Prec@5 86.719 (86.210) Epoch: [65][740/10010] Time 0.314 (0.329) Data 0.001 (0.005) Loss 1.2878 (1.4089) Prec@1 69.531 (67.429) Prec@5 89.062 (86.208) Epoch: [65][750/10010] Time 0.323 (0.329) Data 0.000 (0.005) Loss 1.5431 (1.4094) Prec@1 64.844 (67.411) Prec@5 83.594 (86.186) Epoch: [65][760/10010] Time 0.333 (0.329) Data 0.001 (0.005) Loss 1.5294 (1.4110) Prec@1 67.188 (67.400) Prec@5 87.500 (86.163) Epoch: [65][770/10010] Time 0.319 (0.329) Data 0.000 (0.005) Loss 1.3953 (1.4106) Prec@1 62.500 (67.423) Prec@5 88.281 (86.164) Epoch: [65][780/10010] Time 0.317 (0.329) Data 0.001 (0.005) Loss 1.5264 (1.4121) Prec@1 64.062 (67.402) Prec@5 82.812 (86.122) Epoch: [65][790/10010] Time 0.327 (0.328) Data 0.000 (0.005) Loss 1.3042 (1.4122) Prec@1 70.312 (67.388) Prec@5 89.062 (86.120) Epoch: [65][800/10010] Time 0.337 (0.328) Data 0.001 (0.005) Loss 1.4021 (1.4118) Prec@1 66.406 (67.405) Prec@5 85.938 (86.117) Epoch: [65][810/10010] Time 0.312 (0.328) Data 0.001 (0.005) Loss 1.2937 (1.4121) Prec@1 70.312 (67.401) Prec@5 89.062 (86.102) Epoch: [65][820/10010] Time 0.336 (0.328) Data 0.001 (0.005) Loss 1.3835 (1.4124) Prec@1 71.875 (67.407) Prec@5 83.594 (86.089) Epoch: [65][830/10010] Time 0.316 (0.328) Data 0.001 (0.005) Loss 1.0923 (1.4121) Prec@1 74.219 (67.403) Prec@5 92.969 (86.097) Epoch: [65][840/10010] Time 0.329 (0.328) Data 0.001 (0.005) Loss 1.2908 (1.4132) Prec@1 68.750 (67.375) Prec@5 89.844 (86.094) Epoch: [65][850/10010] Time 0.337 (0.328) Data 0.001 (0.005) Loss 1.2988 (1.4133) Prec@1 67.188 (67.358) Prec@5 91.406 (86.095) Epoch: [65][860/10010] Time 0.320 (0.328) Data 0.001 (0.005) Loss 1.0213 (1.4128) Prec@1 71.094 (67.349) Prec@5 94.531 (86.103) Epoch: [65][870/10010] Time 0.338 (0.328) Data 0.001 (0.005) Loss 1.3931 (1.4132) Prec@1 71.094 (67.344) Prec@5 88.281 (86.109) Epoch: [65][880/10010] Time 0.328 (0.328) Data 0.001 (0.005) Loss 1.1552 (1.4135) Prec@1 69.531 (67.344) Prec@5 91.406 (86.106) Epoch: [65][890/10010] Time 0.327 (0.328) Data 0.001 (0.005) Loss 1.5945 (1.4139) Prec@1 64.844 (67.338) Prec@5 83.594 (86.099) Epoch: [65][900/10010] Time 0.335 (0.328) Data 0.001 (0.004) Loss 1.0276 (1.4137) Prec@1 72.656 (67.339) Prec@5 95.312 (86.101) Epoch: [65][910/10010] Time 0.317 (0.328) Data 0.001 (0.004) Loss 1.1457 (1.4139) Prec@1 69.531 (67.323) Prec@5 92.188 (86.113) Epoch: [65][920/10010] Time 0.314 (0.328) Data 0.001 (0.004) Loss 1.3105 (1.4140) Prec@1 72.656 (67.316) Prec@5 87.500 (86.111) Epoch: [65][930/10010] Time 0.340 (0.328) Data 0.000 (0.004) Loss 1.6314 (1.4136) Prec@1 63.281 (67.345) Prec@5 82.031 (86.115) Epoch: [65][940/10010] Time 0.340 (0.328) Data 0.001 (0.004) Loss 1.6215 (1.4134) Prec@1 64.844 (67.349) Prec@5 82.812 (86.121) Epoch: [65][950/10010] Time 0.325 (0.328) Data 0.001 (0.004) Loss 1.2885 (1.4130) Prec@1 71.875 (67.358) Prec@5 89.062 (86.128) Epoch: [65][960/10010] Time 0.319 (0.328) Data 0.001 (0.004) Loss 1.4345 (1.4130) Prec@1 64.062 (67.362) Prec@5 87.500 (86.130) Epoch: [65][970/10010] Time 0.336 (0.328) Data 0.001 (0.004) Loss 1.4660 (1.4124) Prec@1 67.969 (67.373) Prec@5 86.719 (86.138) Epoch: [65][980/10010] Time 0.329 (0.328) Data 0.001 (0.004) Loss 1.3582 (1.4122) Prec@1 67.188 (67.372) Prec@5 88.281 (86.139) Epoch: [65][990/10010] Time 0.340 (0.328) Data 0.001 (0.004) Loss 1.4154 (1.4121) Prec@1 69.531 (67.370) Prec@5 88.281 (86.140) Epoch: [65][1000/10010] Time 0.335 (0.328) Data 0.001 (0.004) Loss 1.5328 (1.4123) Prec@1 64.844 (67.369) Prec@5 85.156 (86.144) Epoch: [65][1010/10010] Time 0.318 (0.328) Data 0.001 (0.004) Loss 1.3894 (1.4134) Prec@1 71.875 (67.347) Prec@5 87.500 (86.136) Epoch: [65][1020/10010] Time 0.321 (0.328) Data 0.001 (0.004) Loss 1.4049 (1.4133) Prec@1 68.750 (67.352) Prec@5 86.719 (86.140) Epoch: [65][1030/10010] Time 0.334 (0.328) Data 0.000 (0.004) Loss 1.2900 (1.4136) Prec@1 65.625 (67.347) Prec@5 89.062 (86.137) Epoch: [65][1040/10010] Time 0.327 (0.328) Data 0.001 (0.004) Loss 1.2638 (1.4139) Prec@1 71.094 (67.347) Prec@5 88.281 (86.129) Epoch: [65][1050/10010] Time 0.313 (0.328) Data 0.001 (0.004) Loss 1.5164 (1.4142) Prec@1 64.844 (67.344) Prec@5 85.156 (86.132) Epoch: [65][1060/10010] Time 0.338 (0.328) Data 0.000 (0.004) Loss 1.1904 (1.4141) Prec@1 75.781 (67.348) Prec@5 90.625 (86.134) Epoch: [65][1070/10010] Time 0.316 (0.328) Data 0.001 (0.004) Loss 1.2580 (1.4142) Prec@1 65.625 (67.335) Prec@5 90.625 (86.140) Epoch: [65][1080/10010] Time 0.342 (0.328) Data 0.000 (0.004) Loss 1.4740 (1.4139) Prec@1 67.188 (67.338) Prec@5 87.500 (86.147) Epoch: [65][1090/10010] Time 0.325 (0.328) Data 0.000 (0.004) Loss 1.5497 (1.4142) Prec@1 60.938 (67.330) Prec@5 83.594 (86.137) Epoch: [65][1100/10010] Time 0.316 (0.328) Data 0.000 (0.004) Loss 1.4168 (1.4143) Prec@1 66.406 (67.332) Prec@5 85.938 (86.129) Epoch: [65][1110/10010] Time 0.318 (0.328) Data 0.001 (0.004) Loss 1.5849 (1.4144) Prec@1 64.062 (67.332) Prec@5 84.375 (86.132) Epoch: [65][1120/10010] Time 0.341 (0.328) Data 0.001 (0.004) Loss 1.7004 (1.4147) Prec@1 56.250 (67.322) Prec@5 84.375 (86.124) /data/vision/torralba/deepscene/lib/anaconda2/lib/python2.7/site-packages/PIL/TiffImagePlugin.py:692: UserWarning: Possibly corrupt EXIF data. Expecting to read 2555904 bytes but only got 0. Skipping tag 0 "Skipping tag %s" % (size, len(data), tag)) Epoch: [65][1130/10010] Time 0.338 (0.328) Data 0.001 (0.004) Loss 1.2180 (1.4139) Prec@1 67.969 (67.340) Prec@5 90.625 (86.134) Epoch: [65][1140/10010] Time 0.334 (0.328) Data 0.001 (0.004) Loss 1.5147 (1.4137) Prec@1 63.281 (67.348) Prec@5 82.031 (86.135) Epoch: [65][1150/10010] Time 0.319 (0.328) Data 0.000 (0.004) Loss 1.4411 (1.4133) Prec@1 67.188 (67.359) Prec@5 88.281 (86.144) Epoch: [65][1160/10010] Time 0.323 (0.328) Data 0.001 (0.004) Loss 1.4759 (1.4137) Prec@1 62.500 (67.335) Prec@5 85.156 (86.141) Epoch: [65][1170/10010] Time 0.318 (0.328) Data 0.001 (0.004) Loss 1.3506 (1.4130) Prec@1 72.656 (67.356) Prec@5 85.156 (86.146) Epoch: [65][1180/10010] Time 0.341 (0.328) Data 0.000 (0.004) Loss 1.3397 (1.4137) Prec@1 72.656 (67.332) Prec@5 85.938 (86.143) Epoch: [65][1190/10010] Time 0.318 (0.328) Data 0.001 (0.004) Loss 1.0760 (1.4136) Prec@1 70.312 (67.327) Prec@5 94.531 (86.142) Epoch: [65][1200/10010] Time 0.331 (0.328) Data 0.001 (0.004) Loss 1.3386 (1.4136) Prec@1 69.531 (67.332) Prec@5 86.719 (86.139) Epoch: [65][1210/10010] Time 0.334 (0.328) Data 0.000 (0.004) Loss 1.4425 (1.4136) Prec@1 65.625 (67.333) Prec@5 89.844 (86.143) Epoch: [65][1220/10010] Time 0.329 (0.328) Data 0.001 (0.003) Loss 1.4053 (1.4138) Prec@1 70.312 (67.332) Prec@5 85.156 (86.127) Epoch: [65][1230/10010] Time 0.336 (0.328) Data 0.000 (0.003) Loss 1.0708 (1.4136) Prec@1 75.000 (67.339) Prec@5 89.062 (86.131) Epoch: [65][1240/10010] Time 0.330 (0.328) Data 0.001 (0.003) Loss 1.1625 (1.4125) Prec@1 72.656 (67.363) Prec@5 91.406 (86.150) Epoch: [65][1250/10010] Time 0.343 (0.328) Data 0.000 (0.003) Loss 1.1942 (1.4127) Prec@1 64.844 (67.359) Prec@5 88.281 (86.150) Epoch: [65][1260/10010] Time 0.320 (0.328) Data 0.001 (0.003) Loss 1.6932 (1.4127) Prec@1 63.281 (67.355) Prec@5 79.688 (86.148) Epoch: [65][1270/10010] Time 0.313 (0.328) Data 0.001 (0.003) Loss 1.3391 (1.4129) Prec@1 71.875 (67.357) Prec@5 85.938 (86.145) Epoch: [65][1280/10010] Time 0.337 (0.328) Data 0.001 (0.003) Loss 1.2377 (1.4132) Prec@1 69.531 (67.348) Prec@5 92.188 (86.144) Epoch: [65][1290/10010] Time 0.323 (0.328) Data 0.000 (0.003) Loss 1.2126 (1.4135) Prec@1 71.094 (67.344) Prec@5 88.281 (86.135) Epoch: [65][1300/10010] Time 0.330 (0.328) Data 0.001 (0.003) Loss 1.3383 (1.4142) Prec@1 71.094 (67.339) Prec@5 84.375 (86.121) Epoch: [65][1310/10010] Time 0.316 (0.328) Data 0.001 (0.003) Loss 1.2707 (1.4140) Prec@1 71.094 (67.351) Prec@5 86.719 (86.128) Epoch: [65][1320/10010] Time 0.336 (0.328) Data 0.000 (0.003) Loss 1.2114 (1.4137) Prec@1 73.438 (67.360) Prec@5 91.406 (86.135) Epoch: [65][1330/10010] Time 0.324 (0.328) Data 0.000 (0.003) Loss 1.3590 (1.4132) Prec@1 64.844 (67.369) Prec@5 87.500 (86.142) Epoch: [65][1340/10010] Time 0.328 (0.327) Data 0.000 (0.003) Loss 1.5119 (1.4128) Prec@1 65.625 (67.376) Prec@5 85.938 (86.145) Epoch: [65][1350/10010] Time 0.332 (0.327) Data 0.000 (0.003) Loss 1.4196 (1.4120) Prec@1 63.281 (67.381) Prec@5 85.156 (86.167) Epoch: [65][1360/10010] Time 0.326 (0.327) Data 0.001 (0.003) Loss 1.6322 (1.4126) Prec@1 64.844 (67.364) Prec@5 85.156 (86.160) Epoch: [65][1370/10010] Time 0.342 (0.327) Data 0.000 (0.003) Loss 1.3262 (1.4123) Prec@1 68.750 (67.357) Prec@5 84.375 (86.169) Epoch: [65][1380/10010] Time 0.340 (0.327) Data 0.000 (0.003) Loss 1.6246 (1.4122) Prec@1 66.406 (67.353) Prec@5 82.812 (86.171) Epoch: [65][1390/10010] Time 0.312 (0.328) Data 0.001 (0.003) Loss 1.2039 (1.4115) Prec@1 67.188 (67.365) Prec@5 88.281 (86.176) Epoch: [65][1400/10010] Time 0.319 (0.328) Data 0.001 (0.003) Loss 1.6518 (1.4117) Prec@1 65.625 (67.353) Prec@5 81.250 (86.178) Epoch: [65][1410/10010] Time 0.317 (0.328) Data 0.001 (0.003) Loss 1.4446 (1.4119) Prec@1 67.969 (67.348) Prec@5 85.938 (86.176) Epoch: [65][1420/10010] Time 0.319 (0.327) Data 0.000 (0.003) Loss 1.6661 (1.4120) Prec@1 61.719 (67.352) Prec@5 79.688 (86.171) Epoch: [65][1430/10010] Time 0.329 (0.327) Data 0.001 (0.003) Loss 1.6649 (1.4125) Prec@1 64.844 (67.342) Prec@5 80.469 (86.162) Epoch: [65][1440/10010] Time 0.328 (0.327) Data 0.000 (0.003) Loss 1.6047 (1.4127) Prec@1 67.188 (67.336) Prec@5 82.812 (86.164) Epoch: [65][1450/10010] Time 0.320 (0.327) Data 0.000 (0.003) Loss 1.3853 (1.4123) Prec@1 71.875 (67.344) Prec@5 86.719 (86.166) Epoch: [65][1460/10010] Time 0.320 (0.327) Data 0.001 (0.003) Loss 1.4102 (1.4135) Prec@1 71.094 (67.319) Prec@5 85.938 (86.141) Epoch: [65][1470/10010] Time 0.321 (0.327) Data 0.000 (0.003) Loss 1.4064 (1.4132) Prec@1 66.406 (67.319) Prec@5 85.156 (86.147) Epoch: [65][1480/10010] Time 0.330 (0.327) Data 0.001 (0.003) Loss 1.5608 (1.4135) Prec@1 67.969 (67.311) Prec@5 82.031 (86.147) Epoch: [65][1490/10010] Time 0.334 (0.327) Data 0.001 (0.003) Loss 1.4298 (1.4137) Prec@1 66.406 (67.307) Prec@5 84.375 (86.148) Epoch: [65][1500/10010] Time 0.316 (0.327) Data 0.001 (0.003) Loss 1.5296 (1.4136) Prec@1 62.500 (67.309) Prec@5 83.594 (86.143) Epoch: [65][1510/10010] Time 0.324 (0.327) Data 0.000 (0.003) Loss 1.2244 (1.4137) Prec@1 68.750 (67.310) Prec@5 89.062 (86.141) Epoch: [65][1520/10010] Time 0.338 (0.327) Data 0.001 (0.003) Loss 1.4632 (1.4135) Prec@1 61.719 (67.310) Prec@5 88.281 (86.161) Epoch: [65][1530/10010] Time 0.327 (0.327) Data 0.001 (0.003) Loss 1.7617 (1.4136) Prec@1 60.938 (67.308) Prec@5 82.812 (86.157) Epoch: [65][1540/10010] Time 0.314 (0.327) Data 0.000 (0.003) Loss 1.3077 (1.4133) Prec@1 70.312 (67.312) Prec@5 85.938 (86.161) Epoch: [65][1550/10010] Time 0.339 (0.327) Data 0.001 (0.003) Loss 1.3935 (1.4130) Prec@1 64.844 (67.326) Prec@5 87.500 (86.164) Epoch: [65][1560/10010] Time 0.325 (0.327) Data 0.001 (0.003) Loss 1.3541 (1.4132) Prec@1 67.969 (67.325) Prec@5 84.375 (86.161) Epoch: [65][1570/10010] Time 0.324 (0.327) Data 0.001 (0.003) Loss 1.1876 (1.4135) Prec@1 71.875 (67.320) Prec@5 91.406 (86.160) Epoch: [65][1580/10010] Time 0.316 (0.327) Data 0.001 (0.003) Loss 1.5754 (1.4138) Prec@1 65.625 (67.313) Prec@5 87.500 (86.163) Epoch: [65][1590/10010] Time 0.336 (0.327) Data 0.000 (0.003) Loss 1.9488 (1.4140) Prec@1 57.812 (67.313) Prec@5 78.906 (86.162) Epoch: [65][1600/10010] Time 0.315 (0.327) Data 0.001 (0.003) Loss 1.6877 (1.4141) Prec@1 57.812 (67.304) Prec@5 82.812 (86.160) Epoch: [65][1610/10010] Time 0.330 (0.327) Data 0.001 (0.003) Loss 1.2813 (1.4144) Prec@1 67.969 (67.314) Prec@5 89.062 (86.160) Epoch: [65][1620/10010] Time 0.338 (0.327) Data 0.001 (0.003) Loss 1.1168 (1.4138) Prec@1 76.562 (67.329) Prec@5 88.281 (86.164) Epoch: [65][1630/10010] Time 0.322 (0.327) Data 0.001 (0.003) Loss 1.5851 (1.4141) Prec@1 65.625 (67.340) Prec@5 84.375 (86.164) Epoch: [65][1640/10010] Time 0.327 (0.327) Data 0.001 (0.003) Loss 1.5074 (1.4142) Prec@1 61.719 (67.338) Prec@5 84.375 (86.157) Epoch: [65][1650/10010] Time 0.335 (0.327) Data 0.001 (0.003) Loss 1.4195 (1.4140) Prec@1 68.750 (67.343) Prec@5 86.719 (86.158) Epoch: [65][1660/10010] Time 0.330 (0.327) Data 0.001 (0.003) Loss 1.5657 (1.4146) Prec@1 61.719 (67.322) Prec@5 84.375 (86.150) Epoch: [65][1670/10010] Time 0.324 (0.327) Data 0.001 (0.003) Loss 1.4710 (1.4142) Prec@1 64.844 (67.330) Prec@5 83.594 (86.153) Epoch: [65][1680/10010] Time 0.322 (0.327) Data 0.000 (0.003) Loss 1.5520 (1.4143) Prec@1 62.500 (67.335) Prec@5 85.156 (86.150) Epoch: [65][1690/10010] Time 0.321 (0.327) Data 0.001 (0.003) Loss 1.2187 (1.4140) Prec@1 72.656 (67.342) Prec@5 89.844 (86.157) Epoch: [65][1700/10010] Time 0.331 (0.327) Data 0.001 (0.003) Loss 1.5929 (1.4141) Prec@1 60.938 (67.339) Prec@5 83.594 (86.158) Epoch: [65][1710/10010] Time 0.336 (0.327) Data 0.001 (0.003) Loss 1.7709 (1.4139) Prec@1 61.719 (67.354) Prec@5 82.031 (86.163) Epoch: [65][1720/10010] Time 0.340 (0.327) Data 0.001 (0.003) Loss 1.4815 (1.4137) Prec@1 69.531 (67.358) Prec@5 86.719 (86.166) Epoch: [65][1730/10010] Time 0.334 (0.327) Data 0.001 (0.003) Loss 1.4181 (1.4132) Prec@1 73.438 (67.375) Prec@5 82.031 (86.170) Epoch: [65][1740/10010] Time 0.333 (0.327) Data 0.001 (0.003) Loss 1.1006 (1.4132) Prec@1 77.344 (67.375) Prec@5 89.062 (86.169) Epoch: [65][1750/10010] Time 0.326 (0.327) Data 0.000 (0.003) Loss 1.2931 (1.4128) Prec@1 69.531 (67.385) Prec@5 84.375 (86.173) Epoch: [65][1760/10010] Time 0.319 (0.327) Data 0.001 (0.003) Loss 1.5039 (1.4127) Prec@1 67.188 (67.381) Prec@5 80.469 (86.172) Epoch: [65][1770/10010] Time 0.339 (0.327) Data 0.001 (0.003) Loss 1.5803 (1.4130) Prec@1 62.500 (67.375) Prec@5 84.375 (86.169) Epoch: [65][1780/10010] Time 0.315 (0.327) Data 0.001 (0.003) Loss 1.5343 (1.4130) Prec@1 65.625 (67.366) Prec@5 83.594 (86.173) Epoch: [65][1790/10010] Time 0.324 (0.327) Data 0.000 (0.003) Loss 1.1996 (1.4139) Prec@1 68.750 (67.347) Prec@5 91.406 (86.164) Epoch: [65][1800/10010] Time 0.321 (0.327) Data 0.001 (0.003) Loss 1.1811 (1.4137) Prec@1 71.094 (67.350) Prec@5 92.188 (86.171) Epoch: [65][1810/10010] Time 0.310 (0.327) Data 0.001 (0.003) Loss 1.1760 (1.4138) Prec@1 71.875 (67.346) Prec@5 89.062 (86.167) Epoch: [65][1820/10010] Time 0.318 (0.327) Data 0.000 (0.003) Loss 1.4179 (1.4143) Prec@1 65.625 (67.322) Prec@5 85.938 (86.165) Epoch: [65][1830/10010] Time 0.342 (0.327) Data 0.000 (0.003) Loss 1.4301 (1.4145) Prec@1 65.625 (67.321) Prec@5 86.719 (86.165) Epoch: [65][1840/10010] Time 0.328 (0.327) Data 0.001 (0.003) Loss 1.0656 (1.4146) Prec@1 68.750 (67.311) Prec@5 91.406 (86.162) Epoch: [65][1850/10010] Time 0.338 (0.327) Data 0.001 (0.003) Loss 1.4905 (1.4151) Prec@1 67.969 (67.308) Prec@5 87.500 (86.165) Epoch: [65][1860/10010] Time 0.339 (0.327) Data 0.001 (0.003) Loss 1.3187 (1.4149) Prec@1 70.312 (67.305) Prec@5 85.938 (86.165) Epoch: [65][1870/10010] Time 0.336 (0.327) Data 0.000 (0.003) Loss 1.2109 (1.4151) Prec@1 68.750 (67.304) Prec@5 89.062 (86.167) Epoch: [65][1880/10010] Time 0.339 (0.327) Data 0.000 (0.002) Loss 1.5963 (1.4153) Prec@1 70.312 (67.302) Prec@5 85.938 (86.167) Epoch: [65][1890/10010] Time 0.327 (0.327) Data 0.001 (0.002) Loss 1.7010 (1.4158) Prec@1 64.844 (67.284) Prec@5 81.250 (86.162) Epoch: [65][1900/10010] Time 0.310 (0.327) Data 0.001 (0.002) Loss 1.3900 (1.4158) Prec@1 64.844 (67.279) Prec@5 85.156 (86.161) Epoch: [65][1910/10010] Time 0.336 (0.327) Data 0.001 (0.002) Loss 1.1683 (1.4155) Prec@1 76.562 (67.287) Prec@5 88.281 (86.169) Epoch: [65][1920/10010] Time 0.340 (0.327) Data 0.000 (0.002) Loss 1.4514 (1.4151) Prec@1 65.625 (67.296) Prec@5 85.938 (86.175) Epoch: [65][1930/10010] Time 0.325 (0.327) Data 0.001 (0.002) Loss 1.5875 (1.4149) Prec@1 69.531 (67.298) Prec@5 82.812 (86.177) Epoch: [65][1940/10010] Time 0.312 (0.327) Data 0.000 (0.002) Loss 1.5528 (1.4150) Prec@1 64.844 (67.303) Prec@5 84.375 (86.173) Epoch: [65][1950/10010] Time 0.342 (0.327) Data 0.000 (0.002) Loss 1.1369 (1.4151) Prec@1 71.875 (67.295) Prec@5 91.406 (86.177) Epoch: [65][1960/10010] Time 0.336 (0.327) Data 0.001 (0.002) Loss 1.4135 (1.4149) Prec@1 67.188 (67.299) Prec@5 85.156 (86.174) Epoch: [65][1970/10010] Time 0.333 (0.327) Data 0.001 (0.002) Loss 1.5622 (1.4148) Prec@1 66.406 (67.305) Prec@5 85.156 (86.171) Epoch: [65][1980/10010] Time 0.316 (0.327) Data 0.000 (0.002) Loss 1.3787 (1.4146) Prec@1 64.844 (67.307) Prec@5 87.500 (86.180) Epoch: [65][1990/10010] Time 0.338 (0.327) Data 0.001 (0.002) Loss 1.5632 (1.4143) Prec@1 65.625 (67.313) Prec@5 85.938 (86.184) Epoch: [65][2000/10010] Time 0.317 (0.327) Data 0.001 (0.002) Loss 1.5059 (1.4147) Prec@1 62.500 (67.308) Prec@5 85.156 (86.176) Epoch: [65][2010/10010] Time 0.320 (0.327) Data 0.000 (0.002) Loss 1.4919 (1.4150) Prec@1 65.625 (67.306) Prec@5 82.031 (86.168) Epoch: [65][2020/10010] Time 0.341 (0.327) Data 0.000 (0.002) Loss 1.4929 (1.4155) Prec@1 65.625 (67.295) Prec@5 85.156 (86.159) Epoch: [65][2030/10010] Time 0.335 (0.327) Data 0.000 (0.002) Loss 1.3940 (1.4155) Prec@1 64.844 (67.286) Prec@5 84.375 (86.159) Epoch: [65][2040/10010] Time 0.319 (0.327) Data 0.000 (0.002) Loss 1.4318 (1.4155) Prec@1 68.750 (67.290) Prec@5 85.156 (86.159) Epoch: [65][2050/10010] Time 0.341 (0.327) Data 0.001 (0.002) Loss 1.3058 (1.4152) Prec@1 68.750 (67.288) Prec@5 90.625 (86.168) Epoch: [65][2060/10010] Time 0.321 (0.327) Data 0.001 (0.002) Loss 1.4443 (1.4153) Prec@1 63.281 (67.287) Prec@5 85.156 (86.166) Epoch: [65][2070/10010] Time 0.324 (0.327) Data 0.001 (0.002) Loss 1.3211 (1.4149) Prec@1 67.188 (67.294) Prec@5 89.062 (86.168) Epoch: [65][2080/10010] Time 0.320 (0.327) Data 0.000 (0.002) Loss 1.2290 (1.4150) Prec@1 67.969 (67.292) Prec@5 87.500 (86.166) Epoch: [65][2090/10010] Time 0.334 (0.327) Data 0.001 (0.002) Loss 1.2271 (1.4152) Prec@1 75.781 (67.292) Prec@5 85.156 (86.164) Epoch: [65][2100/10010] Time 0.317 (0.327) Data 0.001 (0.002) Loss 1.4486 (1.4153) Prec@1 67.188 (67.286) Prec@5 85.938 (86.164) Epoch: [65][2110/10010] Time 0.327 (0.327) Data 0.000 (0.002) Loss 1.0881 (1.4153) Prec@1 73.438 (67.293) Prec@5 89.844 (86.164) Epoch: [65][2120/10010] Time 0.339 (0.327) Data 0.000 (0.002) Loss 1.3931 (1.4158) Prec@1 69.531 (67.276) Prec@5 86.719 (86.156) Epoch: [65][2130/10010] Time 0.328 (0.327) Data 0.001 (0.002) Loss 1.4873 (1.4156) Prec@1 66.406 (67.280) Prec@5 83.594 (86.161) Epoch: [65][2140/10010] Time 0.319 (0.327) Data 0.000 (0.002) Loss 1.3478 (1.4152) Prec@1 69.531 (67.285) Prec@5 87.500 (86.170) Epoch: [65][2150/10010] Time 0.338 (0.327) Data 0.002 (0.002) Loss 1.2739 (1.4147) Prec@1 68.750 (67.292) Prec@5 90.625 (86.173) Epoch: [65][2160/10010] Time 0.326 (0.327) Data 0.001 (0.002) Loss 1.6331 (1.4150) Prec@1 59.375 (67.287) Prec@5 83.594 (86.166) Epoch: [65][2170/10010] Time 0.329 (0.327) Data 0.001 (0.002) Loss 1.5580 (1.4151) Prec@1 65.625 (67.292) Prec@5 82.812 (86.164) Epoch: [65][2180/10010] Time 0.329 (0.327) Data 0.001 (0.002) Loss 1.2755 (1.4153) Prec@1 69.531 (67.288) Prec@5 84.375 (86.159) Epoch: [65][2190/10010] Time 0.317 (0.327) Data 0.001 (0.002) Loss 1.6345 (1.4155) Prec@1 60.938 (67.282) Prec@5 78.125 (86.155) Epoch: [65][2200/10010] Time 0.317 (0.327) Data 0.001 (0.002) Loss 1.6640 (1.4153) Prec@1 63.281 (67.292) Prec@5 84.375 (86.156) Epoch: [65][2210/10010] Time 0.318 (0.327) Data 0.001 (0.002) Loss 1.4393 (1.4153) Prec@1 64.844 (67.289) Prec@5 89.062 (86.159) Epoch: [65][2220/10010] Time 0.320 (0.327) Data 0.000 (0.002) Loss 1.3927 (1.4153) Prec@1 64.062 (67.281) Prec@5 85.938 (86.160) Epoch: [65][2230/10010] Time 0.314 (0.327) Data 0.000 (0.002) Loss 1.5076 (1.4155) Prec@1 60.938 (67.278) Prec@5 82.812 (86.158) Epoch: [65][2240/10010] Time 0.323 (0.327) Data 0.000 (0.002) Loss 1.5780 (1.4155) Prec@1 58.594 (67.277) Prec@5 85.156 (86.157) Epoch: [65][2250/10010] Time 0.327 (0.327) Data 0.000 (0.002) Loss 1.2380 (1.4155) Prec@1 67.969 (67.282) Prec@5 86.719 (86.157) Epoch: [65][2260/10010] Time 0.333 (0.327) Data 0.001 (0.002) Loss 1.3125 (1.4151) Prec@1 64.062 (67.287) Prec@5 89.844 (86.166) Epoch: [65][2270/10010] Time 0.325 (0.327) Data 0.001 (0.002) Loss 1.3241 (1.4152) Prec@1 70.312 (67.287) Prec@5 87.500 (86.165) Epoch: [65][2280/10010] Time 0.320 (0.327) Data 0.000 (0.002) Loss 1.4899 (1.4151) Prec@1 66.406 (67.289) Prec@5 85.938 (86.163) Epoch: [65][2290/10010] Time 0.321 (0.327) Data 0.000 (0.002) Loss 1.3979 (1.4151) Prec@1 74.219 (67.295) Prec@5 85.938 (86.162) Epoch: [65][2300/10010] Time 0.319 (0.327) Data 0.001 (0.002) Loss 1.5821 (1.4152) Prec@1 64.062 (67.295) Prec@5 85.938 (86.160) Epoch: [65][2310/10010] Time 0.335 (0.327) Data 0.001 (0.002) Loss 1.2037 (1.4154) Prec@1 69.531 (67.290) Prec@5 89.062 (86.160) Epoch: [65][2320/10010] Time 0.315 (0.327) Data 0.001 (0.002) Loss 1.4907 (1.4155) Prec@1 64.062 (67.287) Prec@5 85.156 (86.161) Epoch: [65][2330/10010] Time 0.339 (0.327) Data 0.001 (0.002) Loss 1.5316 (1.4158) Prec@1 64.062 (67.277) Prec@5 85.938 (86.153) Epoch: [65][2340/10010] Time 0.326 (0.327) Data 0.001 (0.002) Loss 1.3385 (1.4160) Prec@1 64.844 (67.274) Prec@5 87.500 (86.147) Epoch: [65][2350/10010] Time 0.323 (0.327) Data 0.000 (0.002) Loss 1.3738 (1.4159) Prec@1 69.531 (67.274) Prec@5 84.375 (86.147) Epoch: [65][2360/10010] Time 0.340 (0.327) Data 0.000 (0.002) Loss 1.4885 (1.4161) Prec@1 65.625 (67.265) Prec@5 85.938 (86.145) Epoch: [65][2370/10010] Time 0.329 (0.327) Data 0.000 (0.002) Loss 1.6079 (1.4161) Prec@1 66.406 (67.261) Prec@5 83.594 (86.146) Epoch: [65][2380/10010] Time 0.320 (0.327) Data 0.001 (0.002) Loss 1.5029 (1.4163) Prec@1 67.188 (67.260) Prec@5 84.375 (86.143) Epoch: [65][2390/10010] Time 0.313 (0.327) Data 0.001 (0.002) Loss 1.4545 (1.4161) Prec@1 64.062 (67.259) Prec@5 85.156 (86.147) Epoch: [65][2400/10010] Time 0.323 (0.327) Data 0.000 (0.002) Loss 1.5693 (1.4165) Prec@1 62.500 (67.252) Prec@5 82.031 (86.143) Epoch: [65][2410/10010] Time 0.326 (0.327) Data 0.001 (0.002) Loss 1.8096 (1.4165) Prec@1 58.594 (67.246) Prec@5 81.250 (86.142) Epoch: [65][2420/10010] Time 0.323 (0.327) Data 0.000 (0.002) Loss 1.6236 (1.4169) Prec@1 60.938 (67.238) Prec@5 83.594 (86.134) Epoch: [65][2430/10010] Time 0.324 (0.327) Data 0.001 (0.002) Loss 1.5761 (1.4172) Prec@1 63.281 (67.230) Prec@5 88.281 (86.134) Epoch: [65][2440/10010] Time 0.332 (0.327) Data 0.001 (0.002) Loss 1.5181 (1.4175) Prec@1 65.625 (67.229) Prec@5 85.156 (86.131) Epoch: [65][2450/10010] Time 0.317 (0.327) Data 0.000 (0.002) Loss 1.3745 (1.4172) Prec@1 66.406 (67.235) Prec@5 87.500 (86.133) Epoch: [65][2460/10010] Time 0.337 (0.327) Data 0.001 (0.002) Loss 1.5163 (1.4172) Prec@1 66.406 (67.237) Prec@5 85.938 (86.136) Epoch: [65][2470/10010] Time 0.318 (0.327) Data 0.001 (0.002) Loss 1.2794 (1.4171) Prec@1 73.438 (67.242) Prec@5 91.406 (86.137) Epoch: [65][2480/10010] Time 0.340 (0.327) Data 0.000 (0.002) Loss 1.5398 (1.4170) Prec@1 65.625 (67.249) Prec@5 85.156 (86.141) Epoch: [65][2490/10010] Time 0.339 (0.327) Data 0.000 (0.002) Loss 1.4458 (1.4170) Prec@1 70.312 (67.245) Prec@5 87.500 (86.144) Epoch: [65][2500/10010] Time 0.329 (0.327) Data 0.001 (0.002) Loss 1.4037 (1.4171) Prec@1 65.625 (67.241) Prec@5 89.844 (86.141) /data/vision/torralba/deepscene/lib/anaconda2/lib/python2.7/site-packages/PIL/TiffImagePlugin.py:692: UserWarning: Possibly corrupt EXIF data. Expecting to read 2555904 bytes but only got 0. Skipping tag 0 "Skipping tag %s" % (size, len(data), tag)) Epoch: [65][2510/10010] Time 0.329 (0.327) Data 0.001 (0.002) Loss 1.2064 (1.4172) Prec@1 70.312 (67.234) Prec@5 89.062 (86.142) Epoch: [65][2520/10010] Time 0.315 (0.327) Data 0.000 (0.002) Loss 1.7540 (1.4178) Prec@1 57.031 (67.221) Prec@5 79.688 (86.132) Epoch: [65][2530/10010] Time 0.323 (0.327) Data 0.001 (0.002) Loss 1.5993 (1.4177) Prec@1 62.500 (67.221) Prec@5 84.375 (86.134) Epoch: [65][2540/10010] Time 0.335 (0.327) Data 0.000 (0.002) Loss 1.3195 (1.4175) Prec@1 67.188 (67.224) Prec@5 89.844 (86.136) Epoch: [65][2550/10010] Time 0.341 (0.327) Data 0.001 (0.002) Loss 1.4351 (1.4172) Prec@1 63.281 (67.228) Prec@5 84.375 (86.141) Epoch: [65][2560/10010] Time 0.335 (0.327) Data 0.001 (0.002) Loss 1.2933 (1.4170) Prec@1 67.969 (67.236) Prec@5 89.844 (86.147) Epoch: [65][2570/10010] Time 0.322 (0.327) Data 0.001 (0.002) Loss 2.0693 (1.4173) Prec@1 54.688 (67.223) Prec@5 79.688 (86.144) Epoch: [65][2580/10010] Time 0.337 (0.327) Data 0.001 (0.002) Loss 1.4732 (1.4177) Prec@1 60.938 (67.217) Prec@5 82.812 (86.136) Epoch: [65][2590/10010] Time 0.314 (0.327) Data 0.001 (0.002) Loss 1.5787 (1.4176) Prec@1 67.969 (67.218) Prec@5 85.156 (86.139) Epoch: [65][2600/10010] Time 0.332 (0.327) Data 0.001 (0.002) Loss 1.6377 (1.4178) Prec@1 62.500 (67.215) Prec@5 84.375 (86.135) Epoch: [65][2610/10010] Time 0.336 (0.327) Data 0.000 (0.002) Loss 1.2643 (1.4178) Prec@1 72.656 (67.214) Prec@5 84.375 (86.137) Epoch: [65][2620/10010] Time 0.331 (0.327) Data 0.001 (0.002) Loss 1.5362 (1.4178) Prec@1 67.188 (67.215) Prec@5 82.812 (86.135) Epoch: [65][2630/10010] Time 0.338 (0.327) Data 0.001 (0.002) Loss 1.4241 (1.4179) Prec@1 67.969 (67.211) Prec@5 87.500 (86.136) Epoch: [65][2640/10010] Time 0.319 (0.327) Data 0.000 (0.002) Loss 1.5594 (1.4180) Prec@1 65.625 (67.212) Prec@5 85.938 (86.135) Epoch: [65][2650/10010] Time 0.341 (0.327) Data 0.001 (0.002) Loss 1.6048 (1.4182) Prec@1 60.938 (67.207) Prec@5 81.250 (86.129) Epoch: [65][2660/10010] Time 0.324 (0.327) Data 0.001 (0.002) Loss 1.3693 (1.4180) Prec@1 63.281 (67.205) Prec@5 85.938 (86.132) Epoch: [65][2670/10010] Time 0.318 (0.327) Data 0.001 (0.002) Loss 1.5672 (1.4182) Prec@1 61.719 (67.202) Prec@5 85.938 (86.134) Epoch: [65][2680/10010] Time 0.335 (0.327) Data 0.001 (0.002) Loss 1.3139 (1.4181) Prec@1 69.531 (67.205) Prec@5 87.500 (86.133) Epoch: [65][2690/10010] Time 0.314 (0.327) Data 0.001 (0.002) Loss 1.4962 (1.4179) Prec@1 65.625 (67.208) Prec@5 85.938 (86.134) Epoch: [65][2700/10010] Time 0.312 (0.327) Data 0.001 (0.002) Loss 1.2875 (1.4177) Prec@1 69.531 (67.210) Prec@5 85.938 (86.133) Epoch: [65][2710/10010] Time 0.333 (0.327) Data 0.001 (0.002) Loss 1.5135 (1.4180) Prec@1 71.094 (67.210) Prec@5 85.938 (86.132) Epoch: [65][2720/10010] Time 0.335 (0.327) Data 0.001 (0.002) Loss 1.5485 (1.4180) Prec@1 70.312 (67.213) Prec@5 82.812 (86.130) Epoch: [65][2730/10010] Time 0.327 (0.327) Data 0.001 (0.002) Loss 1.5543 (1.4178) Prec@1 68.750 (67.221) Prec@5 83.594 (86.132) Epoch: [65][2740/10010] Time 0.330 (0.327) Data 0.000 (0.002) Loss 1.2233 (1.4177) Prec@1 71.875 (67.220) Prec@5 89.062 (86.134) Epoch: [65][2750/10010] Time 0.324 (0.327) Data 0.000 (0.002) Loss 1.4752 (1.4174) Prec@1 70.312 (67.230) Prec@5 84.375 (86.138) Epoch: [65][2760/10010] Time 0.329 (0.327) Data 0.000 (0.002) Loss 1.2421 (1.4175) Prec@1 74.219 (67.231) Prec@5 89.844 (86.137) Epoch: [65][2770/10010] Time 0.334 (0.327) Data 0.001 (0.002) Loss 1.5352 (1.4175) Prec@1 67.969 (67.237) Prec@5 82.812 (86.134) Epoch: [65][2780/10010] Time 0.312 (0.327) Data 0.001 (0.002) Loss 1.3970 (1.4173) Prec@1 65.625 (67.240) Prec@5 82.812 (86.134) Epoch: [65][2790/10010] Time 0.307 (0.327) Data 0.001 (0.002) Loss 1.5931 (1.4174) Prec@1 69.531 (67.245) Prec@5 82.812 (86.134) Epoch: [65][2800/10010] Time 0.339 (0.327) Data 0.000 (0.002) Loss 1.4033 (1.4174) Prec@1 67.969 (67.247) Prec@5 85.156 (86.131) Epoch: [65][2810/10010] Time 0.315 (0.327) Data 0.000 (0.002) Loss 1.3379 (1.4176) Prec@1 64.844 (67.238) Prec@5 88.281 (86.130) Epoch: [65][2820/10010] Time 0.327 (0.327) Data 0.001 (0.002) Loss 1.7579 (1.4175) Prec@1 59.375 (67.236) Prec@5 83.594 (86.134) Epoch: [65][2830/10010] Time 0.338 (0.327) Data 0.001 (0.002) Loss 1.5609 (1.4174) Prec@1 63.281 (67.240) Prec@5 82.812 (86.135) Epoch: [65][2840/10010] Time 0.337 (0.327) Data 0.000 (0.002) Loss 1.2117 (1.4173) Prec@1 69.531 (67.244) Prec@5 89.062 (86.139) Epoch: [65][2850/10010] Time 0.343 (0.327) Data 0.001 (0.002) Loss 1.5448 (1.4174) Prec@1 64.844 (67.245) Prec@5 88.281 (86.133) Epoch: [65][2860/10010] Time 0.315 (0.327) Data 0.001 (0.002) Loss 1.3347 (1.4169) Prec@1 66.406 (67.257) Prec@5 85.938 (86.142) Epoch: [65][2870/10010] Time 0.330 (0.327) Data 0.001 (0.002) Loss 1.5098 (1.4171) Prec@1 64.062 (67.258) Prec@5 85.156 (86.142) Epoch: [65][2880/10010] Time 0.314 (0.327) Data 0.001 (0.002) Loss 1.5542 (1.4179) Prec@1 62.500 (67.246) Prec@5 87.500 (86.131) Epoch: [65][2890/10010] Time 0.339 (0.327) Data 0.000 (0.002) Loss 1.1990 (1.4181) Prec@1 68.750 (67.242) Prec@5 89.844 (86.127) Epoch: [65][2900/10010] Time 0.319 (0.327) Data 0.000 (0.002) Loss 1.4560 (1.4179) Prec@1 64.062 (67.248) Prec@5 85.938 (86.128) Epoch: [65][2910/10010] Time 0.324 (0.327) Data 0.001 (0.002) Loss 1.3752 (1.4181) Prec@1 67.969 (67.247) Prec@5 85.156 (86.126) Epoch: [65][2920/10010] Time 0.332 (0.327) Data 0.001 (0.002) Loss 1.6550 (1.4183) Prec@1 64.844 (67.248) Prec@5 83.594 (86.124) Epoch: [65][2930/10010] Time 0.335 (0.327) Data 0.001 (0.002) Loss 1.5889 (1.4184) Prec@1 62.500 (67.242) Prec@5 83.594 (86.124) Epoch: [65][2940/10010] Time 0.316 (0.327) Data 0.001 (0.002) Loss 1.5882 (1.4183) Prec@1 68.750 (67.241) Prec@5 85.156 (86.127) Epoch: [65][2950/10010] Time 0.338 (0.327) Data 0.001 (0.002) Loss 1.3836 (1.4182) Prec@1 67.188 (67.245) Prec@5 83.594 (86.129) Epoch: [65][2960/10010] Time 0.331 (0.327) Data 0.001 (0.002) Loss 1.5203 (1.4183) Prec@1 67.188 (67.238) Prec@5 82.812 (86.130) Epoch: [65][2970/10010] Time 0.312 (0.327) Data 0.001 (0.002) Loss 1.4502 (1.4182) Prec@1 62.500 (67.231) Prec@5 84.375 (86.132) Epoch: [65][2980/10010] Time 0.341 (0.327) Data 0.000 (0.002) Loss 1.4705 (1.4182) Prec@1 69.531 (67.241) Prec@5 85.156 (86.130) Epoch: [65][2990/10010] Time 0.331 (0.327) Data 0.001 (0.002) Loss 1.5102 (1.4183) Prec@1 67.188 (67.238) Prec@5 83.594 (86.128) Epoch: [65][3000/10010] Time 0.320 (0.327) Data 0.001 (0.002) Loss 1.4025 (1.4182) Prec@1 64.062 (67.234) Prec@5 90.625 (86.132) Epoch: [65][3010/10010] Time 0.325 (0.327) Data 0.001 (0.002) Loss 1.6037 (1.4182) Prec@1 64.062 (67.235) Prec@5 89.062 (86.137) Epoch: [65][3020/10010] Time 0.327 (0.327) Data 0.001 (0.002) Loss 1.4484 (1.4183) Prec@1 68.750 (67.235) Prec@5 84.375 (86.133) Epoch: [65][3030/10010] Time 0.328 (0.327) Data 0.001 (0.002) Loss 1.4729 (1.4184) Prec@1 65.625 (67.235) Prec@5 85.938 (86.130) Epoch: [65][3040/10010] Time 0.317 (0.327) Data 0.000 (0.002) Loss 1.7687 (1.4184) Prec@1 61.719 (67.235) Prec@5 84.375 (86.133) Epoch: [65][3050/10010] Time 0.337 (0.327) Data 0.000 (0.002) Loss 1.2652 (1.4183) Prec@1 67.188 (67.241) Prec@5 88.281 (86.138) Epoch: [65][3060/10010] Time 0.326 (0.327) Data 0.000 (0.002) Loss 1.4747 (1.4184) Prec@1 66.406 (67.235) Prec@5 85.938 (86.138) Epoch: [65][3070/10010] Time 0.334 (0.327) Data 0.001 (0.002) Loss 1.1817 (1.4183) Prec@1 71.094 (67.238) Prec@5 88.281 (86.139) Epoch: [65][3080/10010] Time 0.333 (0.327) Data 0.000 (0.002) Loss 1.7471 (1.4185) Prec@1 65.625 (67.235) Prec@5 82.031 (86.135) Epoch: [65][3090/10010] Time 0.325 (0.327) Data 0.001 (0.002) Loss 1.5030 (1.4185) Prec@1 66.406 (67.234) Prec@5 85.938 (86.134) Epoch: [65][3100/10010] Time 0.335 (0.327) Data 0.000 (0.002) Loss 1.3863 (1.4186) Prec@1 67.188 (67.235) Prec@5 89.062 (86.132) Epoch: [65][3110/10010] Time 0.326 (0.327) Data 0.001 (0.002) Loss 1.4776 (1.4186) Prec@1 67.969 (67.234) Prec@5 83.594 (86.134) Epoch: [65][3120/10010] Time 0.341 (0.327) Data 0.000 (0.002) Loss 1.2602 (1.4190) Prec@1 67.188 (67.225) Prec@5 85.156 (86.127) Epoch: [65][3130/10010] Time 0.315 (0.327) Data 0.000 (0.002) Loss 1.2298 (1.4190) Prec@1 75.000 (67.228) Prec@5 86.719 (86.128) Epoch: [65][3140/10010] Time 0.314 (0.327) Data 0.001 (0.002) Loss 1.2686 (1.4190) Prec@1 66.406 (67.227) Prec@5 89.844 (86.133) Epoch: [65][3150/10010] Time 0.320 (0.327) Data 0.001 (0.002) Loss 1.5373 (1.4189) Prec@1 66.406 (67.226) Prec@5 81.250 (86.133) Epoch: [65][3160/10010] Time 0.314 (0.327) Data 0.001 (0.002) Loss 1.5802 (1.4189) Prec@1 64.062 (67.223) Prec@5 85.156 (86.137) Epoch: [65][3170/10010] Time 0.322 (0.327) Data 0.001 (0.002) Loss 1.5167 (1.4189) Prec@1 62.500 (67.222) Prec@5 85.156 (86.137) Epoch: [65][3180/10010] Time 0.318 (0.327) Data 0.000 (0.002) Loss 1.2697 (1.4191) Prec@1 72.656 (67.221) Prec@5 86.719 (86.137) Epoch: [65][3190/10010] Time 0.317 (0.327) Data 0.000 (0.002) Loss 1.2530 (1.4190) Prec@1 71.875 (67.226) Prec@5 86.719 (86.139) Epoch: [65][3200/10010] Time 0.313 (0.327) Data 0.000 (0.002) Loss 1.2264 (1.4187) Prec@1 71.094 (67.229) Prec@5 88.281 (86.140) Epoch: [65][3210/10010] Time 0.315 (0.327) Data 0.001 (0.002) Loss 1.6374 (1.4188) Prec@1 62.500 (67.228) Prec@5 84.375 (86.139) Epoch: [65][3220/10010] Time 0.339 (0.327) Data 0.000 (0.002) Loss 1.4680 (1.4189) Prec@1 63.281 (67.225) Prec@5 88.281 (86.139) Epoch: [65][3230/10010] Time 0.337 (0.327) Data 0.001 (0.002) Loss 1.3484 (1.4192) Prec@1 67.969 (67.217) Prec@5 87.500 (86.133) Epoch: [65][3240/10010] Time 0.336 (0.327) Data 0.000 (0.002) Loss 1.5578 (1.4189) Prec@1 65.625 (67.223) Prec@5 85.156 (86.136) Epoch: [65][3250/10010] Time 0.329 (0.327) Data 0.001 (0.002) Loss 1.3539 (1.4187) Prec@1 70.312 (67.229) Prec@5 88.281 (86.138) Epoch: [65][3260/10010] Time 0.317 (0.327) Data 0.001 (0.002) Loss 1.6217 (1.4187) Prec@1 63.281 (67.222) Prec@5 82.031 (86.135) Epoch: [65][3270/10010] Time 0.336 (0.327) Data 0.001 (0.002) Loss 1.3022 (1.4186) Prec@1 71.875 (67.224) Prec@5 86.719 (86.136) Epoch: [65][3280/10010] Time 0.326 (0.327) Data 0.001 (0.002) Loss 1.4526 (1.4186) Prec@1 63.281 (67.222) Prec@5 89.844 (86.138) Epoch: [65][3290/10010] Time 0.333 (0.327) Data 0.001 (0.002) Loss 1.5765 (1.4186) Prec@1 64.844 (67.221) Prec@5 85.938 (86.136) Epoch: [65][3300/10010] Time 0.326 (0.327) Data 0.001 (0.002) Loss 1.3953 (1.4188) Prec@1 66.406 (67.219) Prec@5 82.031 (86.133) Epoch: [65][3310/10010] Time 0.318 (0.327) Data 0.000 (0.002) Loss 1.5696 (1.4190) Prec@1 62.500 (67.215) Prec@5 83.594 (86.130) Epoch: [65][3320/10010] Time 0.329 (0.327) Data 0.000 (0.002) Loss 1.6193 (1.4190) Prec@1 63.281 (67.208) Prec@5 83.594 (86.129) Epoch: [65][3330/10010] Time 0.334 (0.327) Data 0.001 (0.002) Loss 1.3898 (1.4193) Prec@1 65.625 (67.200) Prec@5 87.500 (86.125) Epoch: [65][3340/10010] Time 0.324 (0.327) Data 0.000 (0.002) Loss 1.2617 (1.4194) Prec@1 71.875 (67.203) Prec@5 89.062 (86.126) Epoch: [65][3350/10010] Time 0.335 (0.327) Data 0.000 (0.002) Loss 1.2826 (1.4192) Prec@1 65.625 (67.204) Prec@5 91.406 (86.127) Epoch: [65][3360/10010] Time 0.341 (0.327) Data 0.000 (0.002) Loss 1.7240 (1.4191) Prec@1 60.156 (67.204) Prec@5 81.250 (86.130) Epoch: [65][3370/10010] Time 0.339 (0.327) Data 0.000 (0.002) Loss 1.4040 (1.4192) Prec@1 71.094 (67.203) Prec@5 85.938 (86.129) Epoch: [65][3380/10010] Time 0.323 (0.327) Data 0.001 (0.002) Loss 1.5467 (1.4193) Prec@1 67.188 (67.204) Prec@5 81.250 (86.124) Epoch: [65][3390/10010] Time 0.333 (0.327) Data 0.001 (0.002) Loss 1.3909 (1.4192) Prec@1 66.406 (67.207) Prec@5 87.500 (86.124) Epoch: [65][3400/10010] Time 0.326 (0.327) Data 0.001 (0.002) Loss 1.6990 (1.4191) Prec@1 60.156 (67.214) Prec@5 82.031 (86.127) Epoch: [65][3410/10010] Time 0.345 (0.327) Data 0.001 (0.002) Loss 1.3055 (1.4193) Prec@1 69.531 (67.210) Prec@5 86.719 (86.124) Epoch: [65][3420/10010] Time 0.323 (0.327) Data 0.000 (0.002) Loss 1.4131 (1.4192) Prec@1 69.531 (67.207) Prec@5 85.156 (86.127) Epoch: [65][3430/10010] Time 0.338 (0.327) Data 0.001 (0.002) Loss 1.4198 (1.4193) Prec@1 66.406 (67.208) Prec@5 85.938 (86.124) Epoch: [65][3440/10010] Time 0.324 (0.327) Data 0.000 (0.002) Loss 1.4110 (1.4194) Prec@1 67.969 (67.206) Prec@5 85.156 (86.122) Epoch: [65][3450/10010] Time 0.317 (0.327) Data 0.001 (0.002) Loss 1.2515 (1.4193) Prec@1 71.094 (67.208) Prec@5 88.281 (86.123) Epoch: [65][3460/10010] Time 0.331 (0.327) Data 0.001 (0.002) Loss 1.5291 (1.4194) Prec@1 64.062 (67.209) Prec@5 82.031 (86.121) Epoch: [65][3470/10010] Time 0.318 (0.327) Data 0.001 (0.002) Loss 1.6187 (1.4193) Prec@1 67.969 (67.209) Prec@5 82.031 (86.119) Epoch: [65][3480/10010] Time 0.327 (0.327) Data 0.000 (0.002) Loss 1.3042 (1.4193) Prec@1 71.094 (67.210) Prec@5 89.844 (86.122) Epoch: [65][3490/10010] Time 0.324 (0.327) Data 0.001 (0.002) Loss 1.1748 (1.4193) Prec@1 70.312 (67.212) Prec@5 90.625 (86.121) Epoch: [65][3500/10010] Time 0.321 (0.327) Data 0.001 (0.002) Loss 1.4091 (1.4192) Prec@1 66.406 (67.213) Prec@5 85.156 (86.121) Epoch: [65][3510/10010] Time 0.329 (0.327) Data 0.001 (0.002) Loss 1.3405 (1.4191) Prec@1 71.094 (67.215) Prec@5 85.156 (86.124) Epoch: [65][3520/10010] Time 0.314 (0.327) Data 0.000 (0.002) Loss 1.4532 (1.4191) Prec@1 64.844 (67.213) Prec@5 87.500 (86.127) Epoch: [65][3530/10010] Time 0.332 (0.327) Data 0.001 (0.002) Loss 1.6925 (1.4191) Prec@1 59.375 (67.210) Prec@5 83.594 (86.127) Epoch: [65][3540/10010] Time 0.336 (0.327) Data 0.001 (0.002) Loss 1.4763 (1.4192) Prec@1 68.750 (67.206) Prec@5 86.719 (86.126) Epoch: [65][3550/10010] Time 0.319 (0.327) Data 0.000 (0.002) Loss 1.3790 (1.4192) Prec@1 65.625 (67.203) Prec@5 84.375 (86.126) Epoch: [65][3560/10010] Time 0.314 (0.327) Data 0.001 (0.002) Loss 1.1018 (1.4192) Prec@1 71.875 (67.209) Prec@5 92.188 (86.126) Epoch: [65][3570/10010] Time 0.319 (0.327) Data 0.001 (0.002) Loss 1.9606 (1.4196) Prec@1 62.500 (67.205) Prec@5 78.906 (86.118) Epoch: [65][3580/10010] Time 0.322 (0.327) Data 0.001 (0.002) Loss 1.9253 (1.4196) Prec@1 55.469 (67.207) Prec@5 81.250 (86.120) Epoch: [65][3590/10010] Time 0.337 (0.327) Data 0.001 (0.002) Loss 1.3484 (1.4194) Prec@1 67.969 (67.209) Prec@5 85.938 (86.124) Epoch: [65][3600/10010] Time 0.313 (0.327) Data 0.001 (0.002) Loss 1.2926 (1.4190) Prec@1 69.531 (67.212) Prec@5 88.281 (86.129) Epoch: [65][3610/10010] Time 0.333 (0.327) Data 0.000 (0.002) Loss 1.3274 (1.4187) Prec@1 67.188 (67.216) Prec@5 86.719 (86.133) Epoch: [65][3620/10010] Time 0.324 (0.327) Data 0.000 (0.002) Loss 1.4997 (1.4188) Prec@1 67.188 (67.215) Prec@5 86.719 (86.133) Epoch: [65][3630/10010] Time 0.328 (0.327) Data 0.000 (0.002) Loss 1.5505 (1.4189) Prec@1 61.719 (67.210) Prec@5 85.156 (86.131) Epoch: [65][3640/10010] Time 0.336 (0.327) Data 0.001 (0.002) Loss 1.3342 (1.4192) Prec@1 67.188 (67.204) Prec@5 89.844 (86.126) Epoch: [65][3650/10010] Time 0.331 (0.327) Data 0.001 (0.002) Loss 1.4892 (1.4192) Prec@1 64.844 (67.205) Prec@5 82.031 (86.123) Epoch: [65][3660/10010] Time 0.328 (0.327) Data 0.001 (0.002) Loss 1.5444 (1.4193) Prec@1 63.281 (67.205) Prec@5 81.250 (86.117) Epoch: [65][3670/10010] Time 0.321 (0.327) Data 0.000 (0.002) Loss 1.3324 (1.4196) Prec@1 69.531 (67.200) Prec@5 89.844 (86.114) Epoch: [65][3680/10010] Time 0.332 (0.327) Data 0.001 (0.002) Loss 1.3728 (1.4196) Prec@1 64.844 (67.198) Prec@5 86.719 (86.114) Epoch: [65][3690/10010] Time 0.320 (0.327) Data 0.000 (0.002) Loss 1.5538 (1.4195) Prec@1 66.406 (67.197) Prec@5 81.250 (86.116) Epoch: [65][3700/10010] Time 0.329 (0.327) Data 0.001 (0.002) Loss 1.2650 (1.4196) Prec@1 72.656 (67.195) Prec@5 89.062 (86.115) Epoch: [65][3710/10010] Time 0.339 (0.327) Data 0.001 (0.002) Loss 1.2399 (1.4197) Prec@1 71.875 (67.192) Prec@5 86.719 (86.115) Epoch: [65][3720/10010] Time 0.337 (0.327) Data 0.001 (0.002) Loss 1.7084 (1.4198) Prec@1 62.500 (67.192) Prec@5 81.250 (86.111) Epoch: [65][3730/10010] Time 0.317 (0.327) Data 0.001 (0.002) Loss 1.3090 (1.4197) Prec@1 72.656 (67.195) Prec@5 87.500 (86.111) Epoch: [65][3740/10010] Time 0.339 (0.327) Data 0.001 (0.002) Loss 1.4770 (1.4198) Prec@1 62.500 (67.192) Prec@5 85.938 (86.109) Epoch: [65][3750/10010] Time 0.316 (0.327) Data 0.001 (0.002) Loss 1.5469 (1.4199) Prec@1 60.938 (67.192) Prec@5 82.031 (86.108) Epoch: [65][3760/10010] Time 0.321 (0.327) Data 0.001 (0.002) Loss 1.3263 (1.4197) Prec@1 72.656 (67.195) Prec@5 86.719 (86.111) Epoch: [65][3770/10010] Time 0.324 (0.327) Data 0.001 (0.002) Loss 1.6577 (1.4198) Prec@1 63.281 (67.196) Prec@5 82.031 (86.110) Epoch: [65][3780/10010] Time 0.338 (0.327) Data 0.000 (0.002) Loss 1.4040 (1.4200) Prec@1 62.500 (67.190) Prec@5 85.938 (86.106) Epoch: [65][3790/10010] Time 0.312 (0.327) Data 0.001 (0.002) Loss 1.5897 (1.4198) Prec@1 57.031 (67.189) Prec@5 83.594 (86.109) Epoch: [65][3800/10010] Time 0.338 (0.327) Data 0.000 (0.002) Loss 1.7445 (1.4197) Prec@1 59.375 (67.191) Prec@5 81.250 (86.110) Epoch: [65][3810/10010] Time 0.322 (0.327) Data 0.001 (0.002) Loss 1.8555 (1.4198) Prec@1 60.938 (67.187) Prec@5 81.250 (86.108) Epoch: [65][3820/10010] Time 0.340 (0.327) Data 0.001 (0.002) Loss 1.3879 (1.4198) Prec@1 65.625 (67.189) Prec@5 86.719 (86.110) Epoch: [65][3830/10010] Time 0.332 (0.327) Data 0.001 (0.002) Loss 1.2411 (1.4200) Prec@1 67.188 (67.187) Prec@5 91.406 (86.106) Epoch: [65][3840/10010] Time 0.334 (0.327) Data 0.000 (0.002) Loss 1.5144 (1.4201) Prec@1 71.875 (67.186) Prec@5 82.031 (86.104) Epoch: [65][3850/10010] Time 0.336 (0.327) Data 0.001 (0.002) Loss 1.5160 (1.4202) Prec@1 67.969 (67.185) Prec@5 86.719 (86.103) Epoch: [65][3860/10010] Time 0.337 (0.327) Data 0.000 (0.002) Loss 1.3949 (1.4203) Prec@1 68.750 (67.182) Prec@5 86.719 (86.102) Epoch: [65][3870/10010] Time 0.314 (0.327) Data 0.001 (0.002) Loss 1.4097 (1.4202) Prec@1 70.312 (67.184) Prec@5 84.375 (86.101) Epoch: [65][3880/10010] Time 0.333 (0.327) Data 0.001 (0.002) Loss 1.3837 (1.4200) Prec@1 65.625 (67.190) Prec@5 85.156 (86.102) Epoch: [65][3890/10010] Time 0.325 (0.327) Data 0.000 (0.002) Loss 1.5399 (1.4202) Prec@1 67.188 (67.187) Prec@5 81.250 (86.098) Epoch: [65][3900/10010] Time 0.316 (0.327) Data 0.001 (0.002) Loss 1.4601 (1.4201) Prec@1 64.844 (67.189) Prec@5 86.719 (86.100) Epoch: [65][3910/10010] Time 0.330 (0.327) Data 0.001 (0.002) Loss 1.5813 (1.4202) Prec@1 61.719 (67.187) Prec@5 86.719 (86.101) Epoch: [65][3920/10010] Time 0.319 (0.327) Data 0.001 (0.002) Loss 1.2567 (1.4201) Prec@1 64.844 (67.187) Prec@5 89.844 (86.104) Epoch: [65][3930/10010] Time 0.331 (0.327) Data 0.001 (0.002) Loss 1.4140 (1.4203) Prec@1 75.000 (67.186) Prec@5 84.375 (86.099) Epoch: [65][3940/10010] Time 0.316 (0.327) Data 0.001 (0.002) Loss 1.4147 (1.4203) Prec@1 63.281 (67.184) Prec@5 85.938 (86.098) Epoch: [65][3950/10010] Time 0.323 (0.327) Data 0.001 (0.002) Loss 1.3678 (1.4203) Prec@1 70.312 (67.184) Prec@5 89.062 (86.101) Epoch: [65][3960/10010] Time 0.336 (0.327) Data 0.001 (0.002) Loss 1.7699 (1.4204) Prec@1 54.688 (67.182) Prec@5 80.469 (86.101) Epoch: [65][3970/10010] Time 0.340 (0.327) Data 0.001 (0.002) Loss 1.2541 (1.4204) Prec@1 71.094 (67.182) Prec@5 89.844 (86.099) Epoch: [65][3980/10010] Time 0.344 (0.327) Data 0.000 (0.002) Loss 1.0949 (1.4204) Prec@1 77.344 (67.185) Prec@5 89.844 (86.099) Epoch: [65][3990/10010] Time 0.324 (0.327) Data 0.001 (0.002) Loss 1.2684 (1.4202) Prec@1 68.750 (67.193) Prec@5 86.719 (86.100) Epoch: [65][4000/10010] Time 0.339 (0.327) Data 0.001 (0.002) Loss 1.4228 (1.4203) Prec@1 70.312 (67.195) Prec@5 84.375 (86.097) Epoch: [65][4010/10010] Time 0.315 (0.327) Data 0.001 (0.002) Loss 1.2562 (1.4203) Prec@1 67.188 (67.194) Prec@5 90.625 (86.094) Epoch: [65][4020/10010] Time 0.321 (0.327) Data 0.000 (0.002) Loss 1.5626 (1.4202) Prec@1 60.156 (67.194) Prec@5 83.594 (86.098) Epoch: [65][4030/10010] Time 0.319 (0.327) Data 0.001 (0.002) Loss 1.2856 (1.4205) Prec@1 70.312 (67.187) Prec@5 89.062 (86.094) Epoch: [65][4040/10010] Time 0.320 (0.327) Data 0.001 (0.002) Loss 1.6735 (1.4207) Prec@1 65.625 (67.184) Prec@5 83.594 (86.090) Epoch: [65][4050/10010] Time 0.330 (0.327) Data 0.000 (0.002) Loss 1.1334 (1.4206) Prec@1 73.438 (67.184) Prec@5 91.406 (86.095) Epoch: [65][4060/10010] Time 0.340 (0.327) Data 0.001 (0.002) Loss 1.3766 (1.4204) Prec@1 67.969 (67.188) Prec@5 85.156 (86.097) Epoch: [65][4070/10010] Time 0.334 (0.327) Data 0.000 (0.002) Loss 1.3331 (1.4203) Prec@1 64.062 (67.191) Prec@5 83.594 (86.097) Epoch: [65][4080/10010] Time 0.333 (0.327) Data 0.001 (0.001) Loss 1.6268 (1.4205) Prec@1 62.500 (67.189) Prec@5 82.031 (86.094) Epoch: [65][4090/10010] Time 0.321 (0.327) Data 0.001 (0.001) Loss 1.4419 (1.4205) Prec@1 68.750 (67.183) Prec@5 84.375 (86.092) Epoch: [65][4100/10010] Time 0.330 (0.327) Data 0.001 (0.001) Loss 1.3872 (1.4206) Prec@1 68.750 (67.181) Prec@5 86.719 (86.091) Epoch: [65][4110/10010] Time 0.320 (0.327) Data 0.001 (0.001) Loss 1.5258 (1.4207) Prec@1 65.625 (67.177) Prec@5 82.812 (86.089) Epoch: [65][4120/10010] Time 0.337 (0.327) Data 0.001 (0.001) Loss 1.5284 (1.4208) Prec@1 67.188 (67.175) Prec@5 85.156 (86.087) Epoch: [65][4130/10010] Time 0.329 (0.327) Data 0.001 (0.001) Loss 1.1712 (1.4208) Prec@1 72.656 (67.174) Prec@5 89.062 (86.091) Epoch: [65][4140/10010] Time 0.322 (0.327) Data 0.001 (0.001) Loss 1.1382 (1.4207) Prec@1 75.781 (67.175) Prec@5 89.062 (86.092) Epoch: [65][4150/10010] Time 0.318 (0.327) Data 0.001 (0.001) Loss 1.4058 (1.4205) Prec@1 68.750 (67.179) Prec@5 83.594 (86.094) Epoch: [65][4160/10010] Time 0.318 (0.327) Data 0.001 (0.001) Loss 1.4109 (1.4205) Prec@1 69.531 (67.179) Prec@5 85.938 (86.092) Epoch: [65][4170/10010] Time 0.320 (0.327) Data 0.000 (0.001) Loss 1.5041 (1.4207) Prec@1 64.062 (67.173) Prec@5 85.156 (86.090) Epoch: [65][4180/10010] Time 0.339 (0.327) Data 0.001 (0.001) Loss 1.2873 (1.4206) Prec@1 69.531 (67.175) Prec@5 89.844 (86.095) Epoch: [65][4190/10010] Time 0.323 (0.327) Data 0.000 (0.001) Loss 1.2985 (1.4206) Prec@1 64.062 (67.175) Prec@5 90.625 (86.094) Epoch: [65][4200/10010] Time 0.318 (0.327) Data 0.001 (0.001) Loss 1.3092 (1.4207) Prec@1 70.312 (67.174) Prec@5 88.281 (86.095) Epoch: [65][4210/10010] Time 0.324 (0.327) Data 0.001 (0.001) Loss 1.6222 (1.4207) Prec@1 63.281 (67.177) Prec@5 82.031 (86.094) Epoch: [65][4220/10010] Time 0.334 (0.327) Data 0.000 (0.001) Loss 1.2178 (1.4207) Prec@1 70.312 (67.173) Prec@5 88.281 (86.093) Epoch: [65][4230/10010] Time 0.338 (0.327) Data 0.001 (0.001) Loss 1.4203 (1.4206) Prec@1 65.625 (67.173) Prec@5 83.594 (86.096) Epoch: [65][4240/10010] Time 0.310 (0.327) Data 0.001 (0.001) Loss 1.5369 (1.4206) Prec@1 65.625 (67.170) Prec@5 82.031 (86.096) Epoch: [65][4250/10010] Time 0.333 (0.327) Data 0.001 (0.001) Loss 1.4182 (1.4203) Prec@1 67.969 (67.177) Prec@5 86.719 (86.102) Epoch: [65][4260/10010] Time 0.334 (0.327) Data 0.001 (0.001) Loss 1.8811 (1.4203) Prec@1 56.250 (67.176) Prec@5 78.125 (86.100) Epoch: [65][4270/10010] Time 0.322 (0.327) Data 0.000 (0.001) Loss 1.3370 (1.4204) Prec@1 68.750 (67.174) Prec@5 86.719 (86.100) Epoch: [65][4280/10010] Time 0.319 (0.327) Data 0.000 (0.001) Loss 1.7348 (1.4203) Prec@1 59.375 (67.177) Prec@5 81.250 (86.100) Epoch: [65][4290/10010] Time 0.331 (0.327) Data 0.001 (0.001) Loss 1.5287 (1.4201) Prec@1 66.406 (67.179) Prec@5 85.156 (86.102) Epoch: [65][4300/10010] Time 0.329 (0.327) Data 0.001 (0.001) Loss 1.3201 (1.4200) Prec@1 61.719 (67.181) Prec@5 89.062 (86.101) Epoch: [65][4310/10010] Time 0.331 (0.327) Data 0.001 (0.001) Loss 1.5831 (1.4202) Prec@1 64.062 (67.180) Prec@5 84.375 (86.100) Epoch: [65][4320/10010] Time 0.313 (0.327) Data 0.001 (0.001) Loss 1.2704 (1.4201) Prec@1 71.094 (67.182) Prec@5 88.281 (86.102) Epoch: [65][4330/10010] Time 0.321 (0.327) Data 0.001 (0.001) Loss 1.3431 (1.4203) Prec@1 67.188 (67.178) Prec@5 85.938 (86.096) Epoch: [65][4340/10010] Time 0.331 (0.327) Data 0.001 (0.001) Loss 1.7112 (1.4206) Prec@1 59.375 (67.174) Prec@5 81.250 (86.092) Epoch: [65][4350/10010] Time 0.322 (0.327) Data 0.000 (0.001) Loss 1.5441 (1.4206) Prec@1 66.406 (67.175) Prec@5 82.812 (86.089) Epoch: [65][4360/10010] Time 0.320 (0.327) Data 0.001 (0.001) Loss 1.4827 (1.4206) Prec@1 59.375 (67.176) Prec@5 89.062 (86.090) Epoch: [65][4370/10010] Time 0.331 (0.327) Data 0.001 (0.001) Loss 1.4462 (1.4205) Prec@1 60.938 (67.177) Prec@5 85.156 (86.090) Epoch: [65][4380/10010] Time 0.312 (0.327) Data 0.001 (0.001) Loss 1.2905 (1.4204) Prec@1 70.312 (67.182) Prec@5 88.281 (86.091) Epoch: [65][4390/10010] Time 0.323 (0.327) Data 0.001 (0.001) Loss 1.7927 (1.4204) Prec@1 56.250 (67.178) Prec@5 82.031 (86.091) Epoch: [65][4400/10010] Time 0.317 (0.327) Data 0.001 (0.001) Loss 1.4015 (1.4205) Prec@1 63.281 (67.173) Prec@5 88.281 (86.089) Epoch: [65][4410/10010] Time 0.322 (0.327) Data 0.000 (0.001) Loss 1.5211 (1.4206) Prec@1 67.188 (67.172) Prec@5 85.156 (86.088) Epoch: [65][4420/10010] Time 0.312 (0.327) Data 0.001 (0.001) Loss 1.5621 (1.4205) Prec@1 67.188 (67.173) Prec@5 82.812 (86.088) Epoch: [65][4430/10010] Time 0.331 (0.327) Data 0.001 (0.001) Loss 1.3317 (1.4204) Prec@1 67.969 (67.175) Prec@5 84.375 (86.087) Epoch: [65][4440/10010] Time 0.320 (0.327) Data 0.001 (0.001) Loss 1.3573 (1.4207) Prec@1 67.969 (67.170) Prec@5 83.594 (86.082) Epoch: [65][4450/10010] Time 0.321 (0.327) Data 0.001 (0.001) Loss 1.3253 (1.4207) Prec@1 68.750 (67.169) Prec@5 91.406 (86.083) Epoch: [65][4460/10010] Time 0.316 (0.327) Data 0.001 (0.001) Loss 1.2530 (1.4208) Prec@1 68.750 (67.164) Prec@5 90.625 (86.082) Epoch: [65][4470/10010] Time 0.331 (0.327) Data 0.001 (0.001) Loss 1.2803 (1.4206) Prec@1 66.406 (67.172) Prec@5 85.938 (86.084) Epoch: [65][4480/10010] Time 0.319 (0.327) Data 0.001 (0.001) Loss 1.2636 (1.4205) Prec@1 72.656 (67.175) Prec@5 88.281 (86.085) Epoch: [65][4490/10010] Time 0.320 (0.327) Data 0.001 (0.001) Loss 1.4897 (1.4203) Prec@1 59.375 (67.177) Prec@5 84.375 (86.085) Epoch: [65][4500/10010] Time 0.318 (0.327) Data 0.000 (0.001) Loss 1.5660 (1.4203) Prec@1 65.625 (67.183) Prec@5 82.031 (86.084) Epoch: [65][4510/10010] Time 0.320 (0.327) Data 0.001 (0.001) Loss 1.3134 (1.4203) Prec@1 70.312 (67.182) Prec@5 88.281 (86.082) Epoch: [65][4520/10010] Time 0.340 (0.327) Data 0.000 (0.001) Loss 1.3515 (1.4203) Prec@1 69.531 (67.184) Prec@5 89.062 (86.084) Epoch: [65][4530/10010] Time 0.316 (0.327) Data 0.001 (0.001) Loss 1.0480 (1.4202) Prec@1 75.000 (67.186) Prec@5 91.406 (86.082) Epoch: [65][4540/10010] Time 0.314 (0.327) Data 0.000 (0.001) Loss 1.4996 (1.4203) Prec@1 69.531 (67.187) Prec@5 81.250 (86.081) Epoch: [65][4550/10010] Time 0.318 (0.327) Data 0.001 (0.001) Loss 1.4483 (1.4204) Prec@1 67.188 (67.185) Prec@5 85.156 (86.078) Epoch: [65][4560/10010] Time 0.323 (0.327) Data 0.001 (0.001) Loss 1.3695 (1.4205) Prec@1 67.188 (67.178) Prec@5 87.500 (86.074) Epoch: [65][4570/10010] Time 0.340 (0.327) Data 0.000 (0.001) Loss 1.6099 (1.4205) Prec@1 64.844 (67.180) Prec@5 85.156 (86.074) Epoch: [65][4580/10010] Time 0.333 (0.327) Data 0.001 (0.001) Loss 1.3446 (1.4205) Prec@1 72.656 (67.179) Prec@5 89.062 (86.074) Epoch: [65][4590/10010] Time 0.339 (0.327) Data 0.000 (0.001) Loss 1.6380 (1.4207) Prec@1 60.938 (67.178) Prec@5 83.594 (86.074) Epoch: [65][4600/10010] Time 0.324 (0.327) Data 0.001 (0.001) Loss 1.1938 (1.4208) Prec@1 71.875 (67.177) Prec@5 86.719 (86.072) Epoch: [65][4610/10010] Time 0.326 (0.327) Data 0.000 (0.001) Loss 1.2036 (1.4205) Prec@1 70.312 (67.181) Prec@5 83.594 (86.076) Epoch: [65][4620/10010] Time 0.338 (0.327) Data 0.000 (0.001) Loss 1.3287 (1.4207) Prec@1 67.969 (67.176) Prec@5 86.719 (86.074) Epoch: [65][4630/10010] Time 0.320 (0.327) Data 0.001 (0.001) Loss 1.7283 (1.4207) Prec@1 60.156 (67.177) Prec@5 82.031 (86.074) Epoch: [65][4640/10010] Time 0.317 (0.327) Data 0.001 (0.001) Loss 1.4482 (1.4208) Prec@1 66.406 (67.179) Prec@5 85.156 (86.073) Epoch: [65][4650/10010] Time 0.323 (0.327) Data 0.000 (0.001) Loss 1.3977 (1.4208) Prec@1 66.406 (67.178) Prec@5 85.156 (86.071) Epoch: [65][4660/10010] Time 0.332 (0.327) Data 0.000 (0.001) Loss 1.6029 (1.4207) Prec@1 57.031 (67.180) Prec@5 84.375 (86.073) Epoch: [65][4670/10010] Time 0.317 (0.327) Data 0.001 (0.001) Loss 1.4760 (1.4206) Prec@1 65.625 (67.181) Prec@5 86.719 (86.077) Epoch: [65][4680/10010] Time 0.338 (0.327) Data 0.000 (0.001) Loss 1.5527 (1.4205) Prec@1 67.188 (67.187) Prec@5 85.156 (86.077) Epoch: [65][4690/10010] Time 0.324 (0.327) Data 0.000 (0.001) Loss 1.3332 (1.4204) Prec@1 68.750 (67.188) Prec@5 89.062 (86.079) Epoch: [65][4700/10010] Time 0.321 (0.327) Data 0.000 (0.001) Loss 1.4780 (1.4204) Prec@1 69.531 (67.190) Prec@5 86.719 (86.079) Epoch: [65][4710/10010] Time 0.315 (0.327) Data 0.001 (0.001) Loss 1.5761 (1.4204) Prec@1 63.281 (67.188) Prec@5 82.812 (86.078) Epoch: [65][4720/10010] Time 0.328 (0.327) Data 0.000 (0.001) Loss 1.3431 (1.4204) Prec@1 65.625 (67.188) Prec@5 87.500 (86.079) Epoch: [65][4730/10010] Time 0.322 (0.327) Data 0.001 (0.001) Loss 1.2946 (1.4203) Prec@1 71.875 (67.191) Prec@5 89.062 (86.082) Epoch: [65][4740/10010] Time 0.323 (0.327) Data 0.001 (0.001) Loss 1.6262 (1.4203) Prec@1 63.281 (67.194) Prec@5 82.031 (86.082) Epoch: [65][4750/10010] Time 0.340 (0.327) Data 0.000 (0.001) Loss 1.3714 (1.4202) Prec@1 68.750 (67.199) Prec@5 89.844 (86.085) Epoch: [65][4760/10010] Time 0.322 (0.327) Data 0.000 (0.001) Loss 1.2660 (1.4201) Prec@1 70.312 (67.200) Prec@5 89.062 (86.086) Epoch: [65][4770/10010] Time 0.341 (0.327) Data 0.001 (0.001) Loss 1.4563 (1.4203) Prec@1 64.844 (67.195) Prec@5 83.594 (86.084) Epoch: [65][4780/10010] Time 0.342 (0.327) Data 0.001 (0.001) Loss 1.7863 (1.4202) Prec@1 61.719 (67.194) Prec@5 80.469 (86.083) Epoch: [65][4790/10010] Time 0.342 (0.327) Data 0.001 (0.001) Loss 1.3649 (1.4203) Prec@1 68.750 (67.194) Prec@5 89.844 (86.082) Epoch: [65][4800/10010] Time 0.319 (0.327) Data 0.000 (0.001) Loss 1.3427 (1.4201) Prec@1 67.969 (67.195) Prec@5 87.500 (86.085) Epoch: [65][4810/10010] Time 0.333 (0.327) Data 0.001 (0.001) Loss 1.0927 (1.4199) Prec@1 70.312 (67.197) Prec@5 90.625 (86.085) Epoch: [65][4820/10010] Time 0.319 (0.327) Data 0.001 (0.001) Loss 1.5223 (1.4201) Prec@1 64.844 (67.193) Prec@5 85.156 (86.085) Epoch: [65][4830/10010] Time 0.314 (0.327) Data 0.000 (0.001) Loss 1.3996 (1.4202) Prec@1 68.750 (67.193) Prec@5 83.594 (86.083) Epoch: [65][4840/10010] Time 0.339 (0.327) Data 0.001 (0.001) Loss 1.5208 (1.4201) Prec@1 65.625 (67.193) Prec@5 85.938 (86.084) Epoch: [65][4850/10010] Time 0.325 (0.327) Data 0.000 (0.001) Loss 1.5259 (1.4203) Prec@1 70.312 (67.191) Prec@5 84.375 (86.083) Epoch: [65][4860/10010] Time 0.321 (0.327) Data 0.001 (0.001) Loss 1.3900 (1.4202) Prec@1 67.188 (67.193) Prec@5 84.375 (86.083) Epoch: [65][4870/10010] Time 0.330 (0.327) Data 0.001 (0.001) Loss 1.2052 (1.4201) Prec@1 75.000 (67.195) Prec@5 89.062 (86.083) Epoch: [65][4880/10010] Time 0.330 (0.327) Data 0.001 (0.001) Loss 1.3680 (1.4202) Prec@1 61.719 (67.195) Prec@5 91.406 (86.082) Epoch: [65][4890/10010] Time 0.314 (0.327) Data 0.000 (0.001) Loss 1.5550 (1.4204) Prec@1 67.969 (67.193) Prec@5 84.375 (86.079) Epoch: [65][4900/10010] Time 0.331 (0.327) Data 0.001 (0.001) Loss 1.1075 (1.4203) Prec@1 71.094 (67.195) Prec@5 90.625 (86.081) Epoch: [65][4910/10010] Time 0.319 (0.327) Data 0.001 (0.001) Loss 1.4413 (1.4204) Prec@1 62.500 (67.193) Prec@5 91.406 (86.084) Epoch: [65][4920/10010] Time 0.334 (0.327) Data 0.001 (0.001) Loss 1.6952 (1.4203) Prec@1 55.469 (67.192) Prec@5 81.250 (86.083) Epoch: [65][4930/10010] Time 0.340 (0.327) Data 0.000 (0.001) Loss 1.3672 (1.4201) Prec@1 64.062 (67.192) Prec@5 86.719 (86.085) Epoch: [65][4940/10010] Time 0.329 (0.327) Data 0.001 (0.001) Loss 1.3552 (1.4200) Prec@1 68.750 (67.195) Prec@5 87.500 (86.088) Epoch: [65][4950/10010] Time 0.322 (0.327) Data 0.001 (0.001) Loss 1.2969 (1.4199) Prec@1 67.188 (67.196) Prec@5 86.719 (86.090) Epoch: [65][4960/10010] Time 0.316 (0.327) Data 0.001 (0.001) Loss 1.2481 (1.4199) Prec@1 69.531 (67.198) Prec@5 88.281 (86.088) Epoch: [65][4970/10010] Time 0.316 (0.327) Data 0.001 (0.001) Loss 1.5908 (1.4200) Prec@1 62.500 (67.197) Prec@5 85.156 (86.088) Epoch: [65][4980/10010] Time 0.327 (0.327) Data 0.001 (0.001) Loss 1.5127 (1.4199) Prec@1 64.844 (67.200) Prec@5 82.812 (86.089) Epoch: [65][4990/10010] Time 0.325 (0.327) Data 0.000 (0.001) Loss 1.2535 (1.4198) Prec@1 70.312 (67.201) Prec@5 86.719 (86.089) Epoch: [65][5000/10010] Time 0.339 (0.327) Data 0.001 (0.001) Loss 1.2933 (1.4196) Prec@1 73.438 (67.207) Prec@5 89.062 (86.092) Epoch: [65][5010/10010] Time 0.315 (0.327) Data 0.001 (0.001) Loss 1.8112 (1.4195) Prec@1 64.062 (67.208) Prec@5 78.906 (86.094) Epoch: [65][5020/10010] Time 0.324 (0.327) Data 0.000 (0.001) Loss 1.4160 (1.4195) Prec@1 64.844 (67.209) Prec@5 87.500 (86.096) Epoch: [65][5030/10010] Time 0.338 (0.327) Data 0.000 (0.001) Loss 1.6942 (1.4194) Prec@1 65.625 (67.212) Prec@5 82.031 (86.096) Epoch: [65][5040/10010] Time 0.319 (0.327) Data 0.000 (0.001) Loss 1.0713 (1.4195) Prec@1 73.438 (67.210) Prec@5 89.062 (86.094) Epoch: [65][5050/10010] Time 0.311 (0.327) Data 0.001 (0.001) Loss 1.1638 (1.4195) Prec@1 69.531 (67.209) Prec@5 87.500 (86.093) Epoch: [65][5060/10010] Time 0.335 (0.327) Data 0.001 (0.001) Loss 1.4592 (1.4197) Prec@1 70.312 (67.207) Prec@5 83.594 (86.089) Epoch: [65][5070/10010] Time 0.323 (0.327) Data 0.001 (0.001) Loss 1.3980 (1.4198) Prec@1 64.844 (67.206) Prec@5 86.719 (86.089) Epoch: [65][5080/10010] Time 0.337 (0.327) Data 0.001 (0.001) Loss 1.2953 (1.4197) Prec@1 69.531 (67.204) Prec@5 86.719 (86.089) Epoch: [65][5090/10010] Time 0.316 (0.327) Data 0.001 (0.001) Loss 1.5003 (1.4198) Prec@1 67.969 (67.202) Prec@5 82.812 (86.089) Epoch: [65][5100/10010] Time 0.336 (0.327) Data 0.001 (0.001) Loss 1.3608 (1.4198) Prec@1 64.844 (67.201) Prec@5 85.938 (86.087) Epoch: [65][5110/10010] Time 0.324 (0.327) Data 0.001 (0.001) Loss 1.3608 (1.4199) Prec@1 65.625 (67.201) Prec@5 87.500 (86.087) Epoch: [65][5120/10010] Time 0.322 (0.327) Data 0.001 (0.001) Loss 1.1942 (1.4199) Prec@1 71.875 (67.200) Prec@5 88.281 (86.084) Epoch: [65][5130/10010] Time 0.334 (0.327) Data 0.000 (0.001) Loss 1.2527 (1.4199) Prec@1 69.531 (67.201) Prec@5 93.750 (86.086) Epoch: [65][5140/10010] Time 0.322 (0.327) Data 0.001 (0.001) Loss 1.5543 (1.4199) Prec@1 67.188 (67.201) Prec@5 85.938 (86.086) Epoch: [65][5150/10010] Time 0.330 (0.327) Data 0.001 (0.001) Loss 1.4611 (1.4198) Prec@1 63.281 (67.204) Prec@5 89.062 (86.088) Epoch: [65][5160/10010] Time 0.322 (0.327) Data 0.001 (0.001) Loss 1.3735 (1.4198) Prec@1 65.625 (67.202) Prec@5 88.281 (86.089) Epoch: [65][5170/10010] Time 0.318 (0.327) Data 0.000 (0.001) Loss 1.3617 (1.4198) Prec@1 69.531 (67.200) Prec@5 86.719 (86.088) Epoch: [65][5180/10010] Time 0.341 (0.327) Data 0.001 (0.001) Loss 1.5056 (1.4199) Prec@1 67.188 (67.200) Prec@5 83.594 (86.087) Epoch: [65][5190/10010] Time 0.329 (0.327) Data 0.001 (0.001) Loss 1.3413 (1.4198) Prec@1 67.188 (67.201) Prec@5 89.062 (86.088) Epoch: [65][5200/10010] Time 0.318 (0.327) Data 0.000 (0.001) Loss 1.4107 (1.4198) Prec@1 68.750 (67.204) Prec@5 87.500 (86.087) Epoch: [65][5210/10010] Time 0.340 (0.327) Data 0.001 (0.001) Loss 1.4191 (1.4197) Prec@1 64.062 (67.207) Prec@5 85.156 (86.086) Epoch: [65][5220/10010] Time 0.322 (0.327) Data 0.001 (0.001) Loss 1.5144 (1.4197) Prec@1 61.719 (67.204) Prec@5 85.156 (86.087) Epoch: [65][5230/10010] Time 0.335 (0.327) Data 0.001 (0.001) Loss 1.4978 (1.4197) Prec@1 65.625 (67.205) Prec@5 88.281 (86.088) Epoch: [65][5240/10010] Time 0.321 (0.327) Data 0.000 (0.001) Loss 1.2565 (1.4196) Prec@1 71.875 (67.204) Prec@5 87.500 (86.090) Epoch: [65][5250/10010] Time 0.323 (0.327) Data 0.000 (0.001) Loss 1.3564 (1.4198) Prec@1 68.750 (67.203) Prec@5 88.281 (86.090) Epoch: [65][5260/10010] Time 0.339 (0.327) Data 0.001 (0.001) Loss 1.3773 (1.4196) Prec@1 67.969 (67.207) Prec@5 86.719 (86.091) Epoch: [65][5270/10010] Time 0.335 (0.327) Data 0.001 (0.001) Loss 1.5759 (1.4195) Prec@1 60.938 (67.205) Prec@5 80.469 (86.092) Epoch: [65][5280/10010] Time 0.340 (0.327) Data 0.000 (0.001) Loss 1.4667 (1.4195) Prec@1 64.844 (67.205) Prec@5 87.500 (86.093) Epoch: [65][5290/10010] Time 0.341 (0.327) Data 0.001 (0.001) Loss 1.2347 (1.4195) Prec@1 67.969 (67.207) Prec@5 84.375 (86.090) Epoch: [65][5300/10010] Time 0.322 (0.327) Data 0.000 (0.001) Loss 1.5793 (1.4195) Prec@1 63.281 (67.206) Prec@5 83.594 (86.090) Epoch: [65][5310/10010] Time 0.322 (0.327) Data 0.000 (0.001) Loss 1.6335 (1.4196) Prec@1 64.844 (67.203) Prec@5 86.719 (86.089) Epoch: [65][5320/10010] Time 0.332 (0.327) Data 0.000 (0.001) Loss 1.2781 (1.4197) Prec@1 70.312 (67.201) Prec@5 87.500 (86.089) Epoch: [65][5330/10010] Time 0.336 (0.327) Data 0.001 (0.001) Loss 1.6744 (1.4195) Prec@1 64.062 (67.204) Prec@5 81.250 (86.090) Epoch: [65][5340/10010] Time 0.335 (0.327) Data 0.001 (0.001) Loss 1.3874 (1.4195) Prec@1 71.094 (67.205) Prec@5 86.719 (86.090) Epoch: [65][5350/10010] Time 0.341 (0.327) Data 0.001 (0.001) Loss 1.5450 (1.4196) Prec@1 66.406 (67.201) Prec@5 86.719 (86.088) Epoch: [65][5360/10010] Time 0.318 (0.327) Data 0.001 (0.001) Loss 1.4133 (1.4196) Prec@1 68.750 (67.203) Prec@5 84.375 (86.089) Epoch: [65][5370/10010] Time 0.337 (0.327) Data 0.001 (0.001) Loss 1.3466 (1.4196) Prec@1 66.406 (67.204) Prec@5 88.281 (86.088) Epoch: [65][5380/10010] Time 0.337 (0.327) Data 0.001 (0.001) Loss 1.4498 (1.4197) Prec@1 62.500 (67.202) Prec@5 86.719 (86.087) Epoch: [65][5390/10010] Time 0.314 (0.327) Data 0.001 (0.001) Loss 1.5387 (1.4197) Prec@1 64.062 (67.200) Prec@5 85.156 (86.085) Epoch: [65][5400/10010] Time 0.342 (0.327) Data 0.000 (0.001) Loss 1.5476 (1.4198) Prec@1 63.281 (67.199) Prec@5 83.594 (86.084) Epoch: [65][5410/10010] Time 0.332 (0.327) Data 0.001 (0.001) Loss 1.5791 (1.4199) Prec@1 67.188 (67.197) Prec@5 85.938 (86.084) Epoch: [65][5420/10010] Time 0.322 (0.327) Data 0.001 (0.001) Loss 1.2853 (1.4198) Prec@1 70.312 (67.199) Prec@5 88.281 (86.086) Epoch: [65][5430/10010] Time 0.336 (0.327) Data 0.001 (0.001) Loss 1.2829 (1.4198) Prec@1 71.875 (67.197) Prec@5 89.062 (86.088) Epoch: [65][5440/10010] Time 0.323 (0.327) Data 0.001 (0.001) Loss 1.6172 (1.4199) Prec@1 64.062 (67.194) Prec@5 81.250 (86.086) Epoch: [65][5450/10010] Time 0.328 (0.327) Data 0.000 (0.001) Loss 1.4629 (1.4199) Prec@1 65.625 (67.194) Prec@5 88.281 (86.086) Epoch: [65][5460/10010] Time 0.335 (0.327) Data 0.000 (0.001) Loss 1.2512 (1.4197) Prec@1 72.656 (67.194) Prec@5 89.844 (86.089) Epoch: [65][5470/10010] Time 0.341 (0.327) Data 0.000 (0.001) Loss 1.6479 (1.4198) Prec@1 58.594 (67.191) Prec@5 85.156 (86.089) Epoch: [65][5480/10010] Time 0.319 (0.327) Data 0.001 (0.001) Loss 1.3394 (1.4197) Prec@1 72.656 (67.193) Prec@5 84.375 (86.088) Epoch: [65][5490/10010] Time 0.342 (0.327) Data 0.000 (0.001) Loss 1.3686 (1.4198) Prec@1 67.188 (67.192) Prec@5 88.281 (86.087) Epoch: [65][5500/10010] Time 0.341 (0.327) Data 0.000 (0.001) Loss 1.3615 (1.4199) Prec@1 69.531 (67.191) Prec@5 88.281 (86.085) Epoch: [65][5510/10010] Time 0.338 (0.327) Data 0.001 (0.001) Loss 1.2603 (1.4198) Prec@1 68.750 (67.193) Prec@5 90.625 (86.087) Epoch: [65][5520/10010] Time 0.318 (0.327) Data 0.001 (0.001) Loss 1.5034 (1.4197) Prec@1 63.281 (67.192) Prec@5 87.500 (86.091) Epoch: [65][5530/10010] Time 0.320 (0.327) Data 0.001 (0.001) Loss 1.0706 (1.4195) Prec@1 70.312 (67.194) Prec@5 90.625 (86.093) Epoch: [65][5540/10010] Time 0.335 (0.327) Data 0.001 (0.001) Loss 1.5890 (1.4196) Prec@1 65.625 (67.193) Prec@5 82.031 (86.094) Epoch: [65][5550/10010] Time 0.333 (0.327) Data 0.001 (0.001) Loss 1.2160 (1.4194) Prec@1 75.000 (67.195) Prec@5 88.281 (86.095) Epoch: [65][5560/10010] Time 0.326 (0.327) Data 0.001 (0.001) Loss 1.6261 (1.4194) Prec@1 67.969 (67.196) Prec@5 82.031 (86.095) Epoch: [65][5570/10010] Time 0.312 (0.327) Data 0.000 (0.001) Loss 1.2522 (1.4193) Prec@1 70.312 (67.198) Prec@5 92.188 (86.098) Epoch: [65][5580/10010] Time 0.322 (0.327) Data 0.001 (0.001) Loss 1.4071 (1.4191) Prec@1 65.625 (67.203) Prec@5 85.938 (86.102) Epoch: [65][5590/10010] Time 0.342 (0.327) Data 0.000 (0.001) Loss 1.3484 (1.4190) Prec@1 71.875 (67.204) Prec@5 86.719 (86.104) Epoch: [65][5600/10010] Time 0.336 (0.327) Data 0.001 (0.001) Loss 1.4409 (1.4193) Prec@1 68.750 (67.202) Prec@5 85.938 (86.102) Epoch: [65][5610/10010] Time 0.326 (0.327) Data 0.001 (0.001) Loss 1.2800 (1.4192) Prec@1 64.062 (67.198) Prec@5 88.281 (86.103) Epoch: [65][5620/10010] Time 0.334 (0.327) Data 0.000 (0.001) Loss 1.6781 (1.4192) Prec@1 66.406 (67.200) Prec@5 80.469 (86.102) Epoch: [65][5630/10010] Time 0.332 (0.327) Data 0.001 (0.001) Loss 1.3691 (1.4194) Prec@1 69.531 (67.195) Prec@5 89.844 (86.098) Epoch: [65][5640/10010] Time 0.329 (0.327) Data 0.000 (0.001) Loss 1.1501 (1.4192) Prec@1 75.000 (67.196) Prec@5 88.281 (86.100) Epoch: [65][5650/10010] Time 0.320 (0.327) Data 0.001 (0.001) Loss 1.3698 (1.4193) Prec@1 71.094 (67.197) Prec@5 85.938 (86.099) Epoch: [65][5660/10010] Time 0.320 (0.327) Data 0.000 (0.001) Loss 1.2352 (1.4192) Prec@1 74.219 (67.200) Prec@5 85.938 (86.099) Epoch: [65][5670/10010] Time 0.326 (0.327) Data 0.001 (0.001) Loss 1.4397 (1.4191) Prec@1 64.062 (67.203) Prec@5 85.156 (86.100) Epoch: [65][5680/10010] Time 0.333 (0.327) Data 0.001 (0.001) Loss 1.4438 (1.4192) Prec@1 71.094 (67.205) Prec@5 82.812 (86.098) Epoch: [65][5690/10010] Time 0.320 (0.327) Data 0.001 (0.001) Loss 1.2874 (1.4191) Prec@1 68.750 (67.206) Prec@5 88.281 (86.098) Epoch: [65][5700/10010] Time 0.317 (0.327) Data 0.001 (0.001) Loss 1.3573 (1.4191) Prec@1 64.844 (67.206) Prec@5 87.500 (86.097) Epoch: [65][5710/10010] Time 0.328 (0.327) Data 0.001 (0.001) Loss 1.7019 (1.4193) Prec@1 60.156 (67.203) Prec@5 78.906 (86.094) Epoch: [65][5720/10010] Time 0.318 (0.327) Data 0.001 (0.001) Loss 1.3773 (1.4194) Prec@1 67.188 (67.203) Prec@5 90.625 (86.092) Epoch: [65][5730/10010] Time 0.323 (0.327) Data 0.001 (0.001) Loss 1.2757 (1.4192) Prec@1 69.531 (67.205) Prec@5 92.969 (86.095) Epoch: [65][5740/10010] Time 0.315 (0.327) Data 0.000 (0.001) Loss 1.4365 (1.4191) Prec@1 64.844 (67.205) Prec@5 85.938 (86.096) Epoch: [65][5750/10010] Time 0.316 (0.327) Data 0.001 (0.001) Loss 1.4741 (1.4192) Prec@1 69.531 (67.205) Prec@5 82.812 (86.095) Epoch: [65][5760/10010] Time 0.325 (0.327) Data 0.001 (0.001) Loss 1.3166 (1.4191) Prec@1 66.406 (67.208) Prec@5 89.844 (86.097) Epoch: [65][5770/10010] Time 0.335 (0.327) Data 0.000 (0.001) Loss 1.4132 (1.4191) Prec@1 68.750 (67.205) Prec@5 84.375 (86.096) Epoch: [65][5780/10010] Time 0.319 (0.327) Data 0.001 (0.001) Loss 1.6750 (1.4192) Prec@1 65.625 (67.205) Prec@5 81.250 (86.095) Epoch: [65][5790/10010] Time 0.326 (0.327) Data 0.001 (0.001) Loss 1.4198 (1.4192) Prec@1 71.094 (67.205) Prec@5 83.594 (86.094) Epoch: [65][5800/10010] Time 0.314 (0.327) Data 0.001 (0.001) Loss 1.4236 (1.4191) Prec@1 67.969 (67.207) Prec@5 86.719 (86.094) Epoch: [65][5810/10010] Time 0.322 (0.327) Data 0.001 (0.001) Loss 1.1252 (1.4189) Prec@1 68.750 (67.210) Prec@5 91.406 (86.096) Epoch: [65][5820/10010] Time 0.338 (0.327) Data 0.001 (0.001) Loss 1.1015 (1.4188) Prec@1 74.219 (67.213) Prec@5 86.719 (86.099) Epoch: [65][5830/10010] Time 0.316 (0.327) Data 0.001 (0.001) Loss 1.3525 (1.4187) Prec@1 67.188 (67.216) Prec@5 83.594 (86.101) Epoch: [65][5840/10010] Time 0.335 (0.327) Data 0.001 (0.001) Loss 1.4619 (1.4187) Prec@1 65.625 (67.216) Prec@5 85.156 (86.101) Epoch: [65][5850/10010] Time 0.320 (0.327) Data 0.001 (0.001) Loss 1.2430 (1.4187) Prec@1 67.188 (67.213) Prec@5 89.844 (86.100) Epoch: [65][5860/10010] Time 0.325 (0.327) Data 0.001 (0.001) Loss 1.3146 (1.4186) Prec@1 66.406 (67.212) Prec@5 88.281 (86.100) Epoch: [65][5870/10010] Time 0.317 (0.327) Data 0.001 (0.001) Loss 1.3987 (1.4187) Prec@1 64.844 (67.210) Prec@5 87.500 (86.101) Epoch: [65][5880/10010] Time 0.315 (0.327) Data 0.000 (0.001) Loss 1.6385 (1.4187) Prec@1 64.062 (67.212) Prec@5 84.375 (86.101) Epoch: [65][5890/10010] Time 0.330 (0.327) Data 0.000 (0.001) Loss 1.5609 (1.4188) Prec@1 63.281 (67.205) Prec@5 79.688 (86.099) Epoch: [65][5900/10010] Time 0.338 (0.327) Data 0.000 (0.001) Loss 1.5880 (1.4189) Prec@1 67.969 (67.203) Prec@5 82.031 (86.096) Epoch: [65][5910/10010] Time 0.335 (0.327) Data 0.001 (0.001) Loss 1.2059 (1.4189) Prec@1 72.656 (67.202) Prec@5 89.844 (86.096) Epoch: [65][5920/10010] Time 0.321 (0.327) Data 0.000 (0.001) Loss 1.5198 (1.4188) Prec@1 64.844 (67.205) Prec@5 82.031 (86.098) Epoch: [65][5930/10010] Time 0.321 (0.327) Data 0.000 (0.001) Loss 1.2481 (1.4188) Prec@1 65.625 (67.205) Prec@5 89.844 (86.096) Epoch: [65][5940/10010] Time 0.334 (0.327) Data 0.001 (0.001) Loss 1.5664 (1.4189) Prec@1 64.062 (67.201) Prec@5 81.250 (86.093) Epoch: [65][5950/10010] Time 0.320 (0.327) Data 0.001 (0.001) Loss 1.3789 (1.4189) Prec@1 67.188 (67.201) Prec@5 86.719 (86.094) Epoch: [65][5960/10010] Time 0.324 (0.327) Data 0.000 (0.001) Loss 1.5001 (1.4188) Prec@1 70.312 (67.201) Prec@5 81.250 (86.094) Epoch: [65][5970/10010] Time 0.327 (0.327) Data 0.001 (0.001) Loss 1.3016 (1.4188) Prec@1 64.844 (67.201) Prec@5 90.625 (86.096) Epoch: [65][5980/10010] Time 0.339 (0.327) Data 0.001 (0.001) Loss 1.7704 (1.4188) Prec@1 60.938 (67.201) Prec@5 82.812 (86.095) Epoch: [65][5990/10010] Time 0.321 (0.327) Data 0.001 (0.001) Loss 1.5071 (1.4189) Prec@1 67.188 (67.201) Prec@5 84.375 (86.094) Epoch: [65][6000/10010] Time 0.338 (0.327) Data 0.000 (0.001) Loss 1.2875 (1.4189) Prec@1 70.312 (67.201) Prec@5 88.281 (86.093) Epoch: [65][6010/10010] Time 0.318 (0.327) Data 0.001 (0.001) Loss 1.3481 (1.4189) Prec@1 71.094 (67.200) Prec@5 86.719 (86.094) Epoch: [65][6020/10010] Time 0.321 (0.327) Data 0.000 (0.001) Loss 1.2666 (1.4188) Prec@1 67.188 (67.200) Prec@5 88.281 (86.094) Epoch: [65][6030/10010] Time 0.321 (0.327) Data 0.001 (0.001) Loss 1.1779 (1.4188) Prec@1 67.969 (67.198) Prec@5 90.625 (86.092) Epoch: [65][6040/10010] Time 0.321 (0.327) Data 0.000 (0.001) Loss 1.5264 (1.4188) Prec@1 62.500 (67.199) Prec@5 84.375 (86.091) Epoch: [65][6050/10010] Time 0.320 (0.327) Data 0.000 (0.001) Loss 1.3873 (1.4187) Prec@1 67.969 (67.204) Prec@5 88.281 (86.093) Epoch: [65][6060/10010] Time 0.331 (0.327) Data 0.000 (0.001) Loss 1.3005 (1.4187) Prec@1 70.312 (67.202) Prec@5 88.281 (86.092) Epoch: [65][6070/10010] Time 0.311 (0.327) Data 0.001 (0.001) Loss 1.2857 (1.4187) Prec@1 74.219 (67.203) Prec@5 88.281 (86.093) Epoch: [65][6080/10010] Time 0.334 (0.327) Data 0.001 (0.001) Loss 1.5668 (1.4186) Prec@1 63.281 (67.203) Prec@5 85.938 (86.093) Epoch: [65][6090/10010] Time 0.329 (0.327) Data 0.001 (0.001) Loss 1.5701 (1.4186) Prec@1 65.625 (67.205) Prec@5 84.375 (86.092) Epoch: [65][6100/10010] Time 0.340 (0.327) Data 0.001 (0.001) Loss 1.4781 (1.4186) Prec@1 63.281 (67.204) Prec@5 87.500 (86.093) Epoch: [65][6110/10010] Time 0.330 (0.327) Data 0.001 (0.001) Loss 1.3091 (1.4187) Prec@1 69.531 (67.203) Prec@5 87.500 (86.092) Epoch: [65][6120/10010] Time 0.338 (0.327) Data 0.001 (0.001) Loss 1.8523 (1.4188) Prec@1 61.719 (67.199) Prec@5 81.250 (86.091) Epoch: [65][6130/10010] Time 0.338 (0.327) Data 0.001 (0.001) Loss 1.3601 (1.4187) Prec@1 70.312 (67.200) Prec@5 85.156 (86.091) /data/vision/torralba/deepscene/lib/anaconda2/lib/python2.7/site-packages/PIL/TiffImagePlugin.py:692: UserWarning: Possibly corrupt EXIF data. Expecting to read 2555904 bytes but only got 0. Skipping tag 0 "Skipping tag %s" % (size, len(data), tag)) Epoch: [65][6140/10010] Time 0.321 (0.327) Data 0.001 (0.001) Loss 1.4449 (1.4186) Prec@1 64.844 (67.202) Prec@5 87.500 (86.093) Epoch: [65][6150/10010] Time 0.341 (0.327) Data 0.001 (0.001) Loss 1.0805 (1.4185) Prec@1 72.656 (67.208) Prec@5 91.406 (86.094) Epoch: [65][6160/10010] Time 0.337 (0.327) Data 0.001 (0.001) Loss 1.4772 (1.4184) Prec@1 66.406 (67.211) Prec@5 86.719 (86.093) Epoch: [65][6170/10010] Time 0.317 (0.327) Data 0.001 (0.001) Loss 1.4878 (1.4184) Prec@1 65.625 (67.211) Prec@5 82.812 (86.092) Epoch: [65][6180/10010] Time 0.334 (0.327) Data 0.001 (0.001) Loss 1.5041 (1.4184) Prec@1 65.625 (67.210) Prec@5 84.375 (86.093) Epoch: [65][6190/10010] Time 0.314 (0.327) Data 0.000 (0.001) Loss 1.4137 (1.4184) Prec@1 67.188 (67.208) Prec@5 88.281 (86.094) Epoch: [65][6200/10010] Time 0.329 (0.327) Data 0.001 (0.001) Loss 1.4940 (1.4186) Prec@1 64.844 (67.206) Prec@5 87.500 (86.093) Epoch: [65][6210/10010] Time 0.333 (0.327) Data 0.000 (0.001) Loss 1.3317 (1.4188) Prec@1 72.656 (67.202) Prec@5 86.719 (86.091) Epoch: [65][6220/10010] Time 0.329 (0.327) Data 0.001 (0.001) Loss 1.4943 (1.4186) Prec@1 64.062 (67.204) Prec@5 85.156 (86.093) Epoch: [65][6230/10010] Time 0.337 (0.327) Data 0.001 (0.001) Loss 1.2153 (1.4186) Prec@1 69.531 (67.204) Prec@5 89.062 (86.093) Epoch: [65][6240/10010] Time 0.321 (0.327) Data 0.000 (0.001) Loss 1.2841 (1.4185) Prec@1 66.406 (67.205) Prec@5 89.062 (86.093) Epoch: [65][6250/10010] Time 0.312 (0.327) Data 0.001 (0.001) Loss 1.5090 (1.4185) Prec@1 67.969 (67.208) Prec@5 85.156 (86.093) Epoch: [65][6260/10010] Time 0.342 (0.327) Data 0.000 (0.001) Loss 1.2068 (1.4183) Prec@1 70.312 (67.213) Prec@5 86.719 (86.094) /data/vision/torralba/deepscene/lib/anaconda2/lib/python2.7/site-packages/PIL/TiffImagePlugin.py:692: UserWarning: Possibly corrupt EXIF data. Expecting to read 19660800 bytes but only got 0. Skipping tag 0 "Skipping tag %s" % (size, len(data), tag)) /data/vision/torralba/deepscene/lib/anaconda2/lib/python2.7/site-packages/PIL/TiffImagePlugin.py:692: UserWarning: Possibly corrupt EXIF data. Expecting to read 18481152 bytes but only got 0. Skipping tag 0 "Skipping tag %s" % (size, len(data), tag)) /data/vision/torralba/deepscene/lib/anaconda2/lib/python2.7/site-packages/PIL/TiffImagePlugin.py:692: UserWarning: Possibly corrupt EXIF data. Expecting to read 37093376 bytes but only got 0. Skipping tag 0 "Skipping tag %s" % (size, len(data), tag)) /data/vision/torralba/deepscene/lib/anaconda2/lib/python2.7/site-packages/PIL/TiffImagePlugin.py:692: UserWarning: Possibly corrupt EXIF data. Expecting to read 39976960 bytes but only got 0. Skipping tag 0 "Skipping tag %s" % (size, len(data), tag)) /data/vision/torralba/deepscene/lib/anaconda2/lib/python2.7/site-packages/PIL/TiffImagePlugin.py:692: UserWarning: Possibly corrupt EXIF data. Expecting to read 34865152 bytes but only got 0. Skipping tag 0 "Skipping tag %s" % (size, len(data), tag)) /data/vision/torralba/deepscene/lib/anaconda2/lib/python2.7/site-packages/PIL/TiffImagePlugin.py:709: UserWarning: Corrupt EXIF data. Expecting to read 12 bytes but only got 10. warnings.warn(str(msg)) Epoch: [65][6270/10010] Time 0.332 (0.327) Data 0.001 (0.001) Loss 1.5356 (1.4182) Prec@1 64.844 (67.214) Prec@5 83.594 (86.095) Epoch: [65][6280/10010] Time 0.323 (0.327) Data 0.000 (0.001) Loss 1.4316 (1.4182) Prec@1 68.750 (67.212) Prec@5 85.938 (86.094) Epoch: [65][6290/10010] Time 0.312 (0.327) Data 0.001 (0.001) Loss 1.2783 (1.4183) Prec@1 70.312 (67.212) Prec@5 86.719 (86.092) Epoch: [65][6300/10010] Time 0.333 (0.327) Data 0.001 (0.001) Loss 1.4875 (1.4183) Prec@1 66.406 (67.211) Prec@5 84.375 (86.094) Epoch: [65][6310/10010] Time 0.317 (0.327) Data 0.000 (0.001) Loss 1.0822 (1.4183) Prec@1 74.219 (67.213) Prec@5 88.281 (86.094) Epoch: [65][6320/10010] Time 0.336 (0.327) Data 0.000 (0.001) Loss 1.4236 (1.4183) Prec@1 69.531 (67.214) Prec@5 86.719 (86.092) Epoch: [65][6330/10010] Time 0.322 (0.327) Data 0.000 (0.001) Loss 1.3680 (1.4182) Prec@1 70.312 (67.216) Prec@5 85.938 (86.093) Epoch: [65][6340/10010] Time 0.327 (0.327) Data 0.000 (0.001) Loss 1.2738 (1.4184) Prec@1 67.969 (67.213) Prec@5 89.062 (86.093) Epoch: [65][6350/10010] Time 0.325 (0.327) Data 0.001 (0.001) Loss 1.4180 (1.4185) Prec@1 68.750 (67.212) Prec@5 88.281 (86.090) Epoch: [65][6360/10010] Time 0.324 (0.327) Data 0.001 (0.001) Loss 1.2920 (1.4185) Prec@1 70.312 (67.213) Prec@5 88.281 (86.091) Epoch: [65][6370/10010] Time 0.338 (0.327) Data 0.000 (0.001) Loss 1.1383 (1.4183) Prec@1 72.656 (67.215) Prec@5 90.625 (86.095) Epoch: [65][6380/10010] Time 0.334 (0.327) Data 0.000 (0.001) Loss 1.5009 (1.4183) Prec@1 61.719 (67.214) Prec@5 85.156 (86.095) Epoch: [65][6390/10010] Time 0.321 (0.327) Data 0.001 (0.001) Loss 1.4761 (1.4181) Prec@1 65.625 (67.217) Prec@5 85.156 (86.099) Epoch: [65][6400/10010] Time 0.328 (0.327) Data 0.001 (0.001) Loss 1.1727 (1.4180) Prec@1 67.969 (67.219) Prec@5 91.406 (86.101) Epoch: [65][6410/10010] Time 0.341 (0.327) Data 0.000 (0.001) Loss 1.4288 (1.4180) Prec@1 70.312 (67.220) Prec@5 85.938 (86.101) Epoch: [65][6420/10010] Time 0.317 (0.327) Data 0.000 (0.001) Loss 1.3835 (1.4179) Prec@1 69.531 (67.220) Prec@5 85.156 (86.101) Epoch: [65][6430/10010] Time 0.337 (0.327) Data 0.001 (0.001) Loss 1.1903 (1.4177) Prec@1 75.000 (67.224) Prec@5 87.500 (86.104) Epoch: [65][6440/10010] Time 0.317 (0.327) Data 0.001 (0.001) Loss 1.3792 (1.4177) Prec@1 66.406 (67.225) Prec@5 88.281 (86.104) Epoch: [65][6450/10010] Time 0.339 (0.327) Data 0.001 (0.001) Loss 1.5436 (1.4178) Prec@1 60.156 (67.223) Prec@5 85.156 (86.103) Epoch: [65][6460/10010] Time 0.320 (0.327) Data 0.001 (0.001) Loss 1.5121 (1.4177) Prec@1 68.750 (67.225) Prec@5 82.812 (86.102) Epoch: [65][6470/10010] Time 0.336 (0.327) Data 0.000 (0.001) Loss 1.3463 (1.4176) Prec@1 64.844 (67.227) Prec@5 89.062 (86.103) Epoch: [65][6480/10010] Time 0.316 (0.327) Data 0.001 (0.001) Loss 1.8544 (1.4176) Prec@1 54.688 (67.227) Prec@5 82.031 (86.102) Epoch: [65][6490/10010] Time 0.336 (0.327) Data 0.001 (0.001) Loss 1.4357 (1.4177) Prec@1 67.969 (67.226) Prec@5 91.406 (86.104) Epoch: [65][6500/10010] Time 0.335 (0.327) Data 0.001 (0.001) Loss 1.4727 (1.4176) Prec@1 63.281 (67.227) Prec@5 85.156 (86.104) Epoch: [65][6510/10010] Time 0.344 (0.327) Data 0.001 (0.001) Loss 1.8345 (1.4177) Prec@1 60.156 (67.224) Prec@5 80.469 (86.103) Epoch: [65][6520/10010] Time 0.313 (0.327) Data 0.000 (0.001) Loss 1.2294 (1.4178) Prec@1 68.750 (67.222) Prec@5 91.406 (86.104) Epoch: [65][6530/10010] Time 0.337 (0.327) Data 0.001 (0.001) Loss 1.4077 (1.4177) Prec@1 67.969 (67.226) Prec@5 84.375 (86.106) Epoch: [65][6540/10010] Time 0.316 (0.327) Data 0.000 (0.001) Loss 1.4106 (1.4176) Prec@1 65.625 (67.225) Prec@5 88.281 (86.107) Epoch: [65][6550/10010] Time 0.338 (0.327) Data 0.001 (0.001) Loss 1.1899 (1.4175) Prec@1 64.844 (67.225) Prec@5 90.625 (86.109) Epoch: [65][6560/10010] Time 0.328 (0.327) Data 0.001 (0.001) Loss 1.5792 (1.4176) Prec@1 64.062 (67.222) Prec@5 83.594 (86.107) Epoch: [65][6570/10010] Time 0.324 (0.327) Data 0.000 (0.001) Loss 1.1856 (1.4175) Prec@1 71.875 (67.224) Prec@5 86.719 (86.107) Epoch: [65][6580/10010] Time 0.336 (0.327) Data 0.001 (0.001) Loss 1.3262 (1.4175) Prec@1 74.219 (67.228) Prec@5 85.938 (86.108) Epoch: [65][6590/10010] Time 0.342 (0.327) Data 0.000 (0.001) Loss 1.4961 (1.4176) Prec@1 65.625 (67.226) Prec@5 84.375 (86.105) Epoch: [65][6600/10010] Time 0.331 (0.327) Data 0.000 (0.001) Loss 1.3241 (1.4177) Prec@1 75.000 (67.226) Prec@5 88.281 (86.105) Epoch: [65][6610/10010] Time 0.313 (0.327) Data 0.001 (0.001) Loss 1.4107 (1.4176) Prec@1 71.094 (67.228) Prec@5 86.719 (86.107) Epoch: [65][6620/10010] Time 0.325 (0.327) Data 0.001 (0.001) Loss 1.5339 (1.4175) Prec@1 63.281 (67.230) Prec@5 85.938 (86.109) Epoch: [65][6630/10010] Time 0.320 (0.327) Data 0.001 (0.001) Loss 1.3937 (1.4176) Prec@1 67.188 (67.230) Prec@5 85.938 (86.108) Epoch: [65][6640/10010] Time 0.338 (0.327) Data 0.000 (0.001) Loss 1.4717 (1.4176) Prec@1 69.531 (67.230) Prec@5 85.938 (86.106) Epoch: [65][6650/10010] Time 0.320 (0.327) Data 0.001 (0.001) Loss 1.5978 (1.4178) Prec@1 60.156 (67.227) Prec@5 81.250 (86.103) Epoch: [65][6660/10010] Time 0.325 (0.327) Data 0.001 (0.001) Loss 1.3839 (1.4177) Prec@1 69.531 (67.227) Prec@5 85.938 (86.101) Epoch: [65][6670/10010] Time 0.337 (0.327) Data 0.001 (0.001) Loss 1.6002 (1.4177) Prec@1 61.719 (67.226) Prec@5 86.719 (86.102) Epoch: [65][6680/10010] Time 0.323 (0.327) Data 0.001 (0.001) Loss 1.3333 (1.4178) Prec@1 70.312 (67.223) Prec@5 88.281 (86.102) Epoch: [65][6690/10010] Time 0.340 (0.327) Data 0.001 (0.001) Loss 1.4127 (1.4178) Prec@1 67.188 (67.224) Prec@5 83.594 (86.100) Epoch: [65][6700/10010] Time 0.320 (0.327) Data 0.001 (0.001) Loss 1.4927 (1.4178) Prec@1 65.625 (67.223) Prec@5 89.844 (86.100) Epoch: [65][6710/10010] Time 0.338 (0.327) Data 0.001 (0.001) Loss 1.4869 (1.4178) Prec@1 64.844 (67.225) Prec@5 85.156 (86.101) Epoch: [65][6720/10010] Time 0.322 (0.327) Data 0.000 (0.001) Loss 1.5137 (1.4178) Prec@1 66.406 (67.224) Prec@5 85.156 (86.103) Epoch: [65][6730/10010] Time 0.324 (0.327) Data 0.001 (0.001) Loss 1.5455 (1.4177) Prec@1 70.312 (67.227) Prec@5 84.375 (86.104) Epoch: [65][6740/10010] Time 0.320 (0.327) Data 0.001 (0.001) Loss 1.5908 (1.4177) Prec@1 64.844 (67.228) Prec@5 85.938 (86.105) Epoch: [65][6750/10010] Time 0.336 (0.327) Data 0.001 (0.001) Loss 1.2901 (1.4176) Prec@1 67.188 (67.230) Prec@5 86.719 (86.106) Epoch: [65][6760/10010] Time 0.328 (0.327) Data 0.000 (0.001) Loss 1.4819 (1.4176) Prec@1 66.406 (67.230) Prec@5 83.594 (86.105) Epoch: [65][6770/10010] Time 0.343 (0.327) Data 0.001 (0.001) Loss 1.2805 (1.4176) Prec@1 71.094 (67.230) Prec@5 85.156 (86.105) Epoch: [65][6780/10010] Time 0.321 (0.327) Data 0.001 (0.001) Loss 1.3545 (1.4177) Prec@1 67.188 (67.228) Prec@5 89.062 (86.104) Epoch: [65][6790/10010] Time 0.322 (0.327) Data 0.000 (0.001) Loss 1.8089 (1.4177) Prec@1 56.250 (67.224) Prec@5 80.469 (86.104) Epoch: [65][6800/10010] Time 0.341 (0.327) Data 0.000 (0.001) Loss 1.4307 (1.4176) Prec@1 66.406 (67.224) Prec@5 87.500 (86.106) Epoch: [65][6810/10010] Time 0.343 (0.327) Data 0.000 (0.001) Loss 1.4212 (1.4175) Prec@1 64.062 (67.226) Prec@5 85.938 (86.107) Epoch: [65][6820/10010] Time 0.322 (0.327) Data 0.001 (0.001) Loss 1.2877 (1.4174) Prec@1 71.094 (67.229) Prec@5 87.500 (86.109) Epoch: [65][6830/10010] Time 0.318 (0.327) Data 0.001 (0.001) Loss 0.9895 (1.4173) Prec@1 75.781 (67.234) Prec@5 91.406 (86.111) Epoch: [65][6840/10010] Time 0.336 (0.327) Data 0.000 (0.001) Loss 1.2282 (1.4173) Prec@1 73.438 (67.236) Prec@5 93.750 (86.112) Epoch: [65][6850/10010] Time 0.321 (0.327) Data 0.001 (0.001) Loss 1.4656 (1.4173) Prec@1 64.844 (67.236) Prec@5 84.375 (86.110) Epoch: [65][6860/10010] Time 0.330 (0.327) Data 0.000 (0.001) Loss 1.2605 (1.4173) Prec@1 73.438 (67.235) Prec@5 85.938 (86.110) Epoch: [65][6870/10010] Time 0.319 (0.327) Data 0.001 (0.001) Loss 1.2963 (1.4173) Prec@1 61.719 (67.233) Prec@5 88.281 (86.111) Epoch: [65][6880/10010] Time 0.317 (0.327) Data 0.000 (0.001) Loss 1.4918 (1.4173) Prec@1 64.844 (67.233) Prec@5 84.375 (86.111) Epoch: [65][6890/10010] Time 0.336 (0.327) Data 0.001 (0.001) Loss 1.4350 (1.4173) Prec@1 70.312 (67.234) Prec@5 87.500 (86.112) Epoch: [65][6900/10010] Time 0.324 (0.327) Data 0.000 (0.001) Loss 1.3678 (1.4173) Prec@1 64.062 (67.233) Prec@5 88.281 (86.111) Epoch: [65][6910/10010] Time 0.332 (0.327) Data 0.001 (0.001) Loss 1.1015 (1.4174) Prec@1 75.781 (67.232) Prec@5 89.844 (86.108) Epoch: [65][6920/10010] Time 0.338 (0.327) Data 0.001 (0.001) Loss 1.1396 (1.4174) Prec@1 72.656 (67.232) Prec@5 91.406 (86.110) Epoch: [65][6930/10010] Time 0.335 (0.327) Data 0.001 (0.001) Loss 1.2570 (1.4174) Prec@1 72.656 (67.232) Prec@5 88.281 (86.111) Epoch: [65][6940/10010] Time 0.321 (0.327) Data 0.001 (0.001) Loss 1.6425 (1.4173) Prec@1 61.719 (67.232) Prec@5 85.938 (86.112) Epoch: [65][6950/10010] Time 0.320 (0.327) Data 0.000 (0.001) Loss 1.6729 (1.4173) Prec@1 66.406 (67.230) Prec@5 85.156 (86.112) Epoch: [65][6960/10010] Time 0.340 (0.327) Data 0.000 (0.001) Loss 1.4536 (1.4173) Prec@1 66.406 (67.229) Prec@5 84.375 (86.112) Epoch: [65][6970/10010] Time 0.331 (0.327) Data 0.001 (0.001) Loss 1.4067 (1.4173) Prec@1 66.406 (67.230) Prec@5 85.156 (86.112) Epoch: [65][6980/10010] Time 0.319 (0.327) Data 0.001 (0.001) Loss 1.5566 (1.4172) Prec@1 64.062 (67.230) Prec@5 85.938 (86.112) Epoch: [65][6990/10010] Time 0.325 (0.327) Data 0.001 (0.001) Loss 1.5134 (1.4173) Prec@1 66.406 (67.231) Prec@5 85.156 (86.111) Epoch: [65][7000/10010] Time 0.336 (0.327) Data 0.001 (0.001) Loss 1.4662 (1.4172) Prec@1 68.750 (67.232) Prec@5 84.375 (86.111) Epoch: [65][7010/10010] Time 0.311 (0.327) Data 0.001 (0.001) Loss 1.5020 (1.4172) Prec@1 64.062 (67.234) Prec@5 82.812 (86.109) Epoch: [65][7020/10010] Time 0.337 (0.327) Data 0.001 (0.001) Loss 1.3360 (1.4172) Prec@1 65.625 (67.233) Prec@5 89.062 (86.111) Epoch: [65][7030/10010] Time 0.331 (0.327) Data 0.001 (0.001) Loss 1.2070 (1.4172) Prec@1 67.969 (67.231) Prec@5 91.406 (86.113) Epoch: [65][7040/10010] Time 0.316 (0.327) Data 0.000 (0.001) Loss 1.2587 (1.4172) Prec@1 68.750 (67.232) Prec@5 86.719 (86.114) Epoch: [65][7050/10010] Time 0.332 (0.327) Data 0.001 (0.001) Loss 1.3165 (1.4172) Prec@1 71.875 (67.231) Prec@5 87.500 (86.114) Epoch: [65][7060/10010] Time 0.331 (0.327) Data 0.001 (0.001) Loss 1.1731 (1.4172) Prec@1 72.656 (67.232) Prec@5 89.844 (86.115) Epoch: [65][7070/10010] Time 0.318 (0.327) Data 0.001 (0.001) Loss 1.3918 (1.4172) Prec@1 64.844 (67.232) Prec@5 86.719 (86.114) Epoch: [65][7080/10010] Time 0.322 (0.327) Data 0.001 (0.001) Loss 1.3586 (1.4172) Prec@1 65.625 (67.233) Prec@5 87.500 (86.114) Epoch: [65][7090/10010] Time 0.316 (0.327) Data 0.000 (0.001) Loss 1.6662 (1.4174) Prec@1 65.625 (67.229) Prec@5 82.031 (86.112) Epoch: [65][7100/10010] Time 0.321 (0.327) Data 0.001 (0.001) Loss 1.6791 (1.4174) Prec@1 62.500 (67.227) Prec@5 83.594 (86.111) Epoch: [65][7110/10010] Time 0.317 (0.327) Data 0.001 (0.001) Loss 1.4112 (1.4174) Prec@1 70.312 (67.229) Prec@5 85.156 (86.111) Epoch: [65][7120/10010] Time 0.323 (0.327) Data 0.000 (0.001) Loss 1.3266 (1.4174) Prec@1 71.094 (67.230) Prec@5 89.062 (86.111) Epoch: [65][7130/10010] Time 0.320 (0.327) Data 0.000 (0.001) Loss 1.3852 (1.4174) Prec@1 71.094 (67.231) Prec@5 84.375 (86.112) Epoch: [65][7140/10010] Time 0.330 (0.327) Data 0.001 (0.001) Loss 1.3257 (1.4174) Prec@1 67.188 (67.231) Prec@5 88.281 (86.113) Epoch: [65][7150/10010] Time 0.319 (0.327) Data 0.000 (0.001) Loss 1.7046 (1.4174) Prec@1 62.500 (67.233) Prec@5 79.688 (86.113) Epoch: [65][7160/10010] Time 0.330 (0.327) Data 0.001 (0.001) Loss 1.3702 (1.4175) Prec@1 71.094 (67.231) Prec@5 88.281 (86.113) Epoch: [65][7170/10010] Time 0.340 (0.327) Data 0.001 (0.001) Loss 1.1879 (1.4175) Prec@1 70.312 (67.229) Prec@5 86.719 (86.113) Epoch: [65][7180/10010] Time 0.324 (0.327) Data 0.000 (0.001) Loss 1.4251 (1.4175) Prec@1 64.844 (67.229) Prec@5 85.938 (86.113) Epoch: [65][7190/10010] Time 0.317 (0.327) Data 0.000 (0.001) Loss 1.3032 (1.4175) Prec@1 67.969 (67.228) Prec@5 85.156 (86.113) Epoch: [65][7200/10010] Time 0.318 (0.327) Data 0.000 (0.001) Loss 1.4109 (1.4175) Prec@1 62.500 (67.228) Prec@5 85.156 (86.112) Epoch: [65][7210/10010] Time 0.341 (0.327) Data 0.001 (0.001) Loss 1.3541 (1.4175) Prec@1 67.188 (67.229) Prec@5 86.719 (86.114) Epoch: [65][7220/10010] Time 0.320 (0.327) Data 0.000 (0.001) Loss 1.1107 (1.4174) Prec@1 75.000 (67.232) Prec@5 90.625 (86.114) Epoch: [65][7230/10010] Time 0.322 (0.327) Data 0.001 (0.001) Loss 1.7850 (1.4175) Prec@1 60.938 (67.231) Prec@5 82.031 (86.113) Epoch: [65][7240/10010] Time 0.330 (0.327) Data 0.001 (0.001) Loss 1.3090 (1.4175) Prec@1 66.406 (67.232) Prec@5 88.281 (86.115) Epoch: [65][7250/10010] Time 0.321 (0.327) Data 0.000 (0.001) Loss 1.2381 (1.4176) Prec@1 71.094 (67.233) Prec@5 87.500 (86.112) Epoch: [65][7260/10010] Time 0.330 (0.327) Data 0.001 (0.001) Loss 1.3724 (1.4177) Prec@1 68.750 (67.232) Prec@5 90.625 (86.111) Epoch: [65][7270/10010] Time 0.323 (0.327) Data 0.001 (0.001) Loss 1.5114 (1.4177) Prec@1 56.250 (67.230) Prec@5 85.938 (86.112) Epoch: [65][7280/10010] Time 0.324 (0.327) Data 0.001 (0.001) Loss 1.5489 (1.4177) Prec@1 66.406 (67.229) Prec@5 82.031 (86.112) Epoch: [65][7290/10010] Time 0.334 (0.327) Data 0.001 (0.001) Loss 1.4297 (1.4177) Prec@1 69.531 (67.229) Prec@5 86.719 (86.112) Epoch: [65][7300/10010] Time 0.324 (0.327) Data 0.000 (0.001) Loss 1.4010 (1.4177) Prec@1 71.094 (67.230) Prec@5 85.938 (86.112) Epoch: [65][7310/10010] Time 0.334 (0.327) Data 0.001 (0.001) Loss 1.4413 (1.4178) Prec@1 64.062 (67.227) Prec@5 84.375 (86.111) Epoch: [65][7320/10010] Time 0.342 (0.327) Data 0.000 (0.001) Loss 1.3994 (1.4178) Prec@1 71.094 (67.229) Prec@5 82.812 (86.110) Epoch: [65][7330/10010] Time 0.333 (0.327) Data 0.001 (0.001) Loss 1.3693 (1.4178) Prec@1 66.406 (67.230) Prec@5 84.375 (86.110) Epoch: [65][7340/10010] Time 0.338 (0.327) Data 0.001 (0.001) Loss 1.6962 (1.4178) Prec@1 63.281 (67.230) Prec@5 80.469 (86.111) Epoch: [65][7350/10010] Time 0.312 (0.327) Data 0.001 (0.001) Loss 1.4502 (1.4178) Prec@1 63.281 (67.228) Prec@5 85.156 (86.111) Epoch: [65][7360/10010] Time 0.338 (0.327) Data 0.001 (0.001) Loss 1.3575 (1.4178) Prec@1 67.969 (67.225) Prec@5 85.938 (86.110) Epoch: [65][7370/10010] Time 0.316 (0.327) Data 0.000 (0.001) Loss 1.3884 (1.4176) Prec@1 67.969 (67.230) Prec@5 86.719 (86.113) Epoch: [65][7380/10010] Time 0.317 (0.327) Data 0.001 (0.001) Loss 1.3920 (1.4177) Prec@1 65.625 (67.228) Prec@5 85.156 (86.111) Epoch: [65][7390/10010] Time 0.341 (0.327) Data 0.001 (0.001) Loss 1.5092 (1.4177) Prec@1 65.625 (67.228) Prec@5 83.594 (86.112) Epoch: [65][7400/10010] Time 0.317 (0.327) Data 0.001 (0.001) Loss 1.3660 (1.4178) Prec@1 68.750 (67.229) Prec@5 87.500 (86.110) Epoch: [65][7410/10010] Time 0.335 (0.327) Data 0.001 (0.001) Loss 1.2478 (1.4177) Prec@1 69.531 (67.229) Prec@5 89.844 (86.112) Epoch: [65][7420/10010] Time 0.317 (0.327) Data 0.001 (0.001) Loss 1.3405 (1.4176) Prec@1 67.969 (67.232) Prec@5 89.062 (86.113) Epoch: [65][7430/10010] Time 0.337 (0.327) Data 0.001 (0.001) Loss 1.5744 (1.4177) Prec@1 61.719 (67.233) Prec@5 86.719 (86.112) Epoch: [65][7440/10010] Time 0.337 (0.327) Data 0.001 (0.001) Loss 1.3701 (1.4177) Prec@1 62.500 (67.230) Prec@5 85.938 (86.112) Epoch: [65][7450/10010] Time 0.322 (0.327) Data 0.000 (0.001) Loss 1.3756 (1.4176) Prec@1 67.969 (67.230) Prec@5 89.844 (86.115) Epoch: [65][7460/10010] Time 0.341 (0.327) Data 0.000 (0.001) Loss 1.4292 (1.4176) Prec@1 68.750 (67.232) Prec@5 85.938 (86.116) Epoch: [65][7470/10010] Time 0.319 (0.327) Data 0.000 (0.001) Loss 1.5534 (1.4176) Prec@1 64.844 (67.231) Prec@5 84.375 (86.115) Epoch: [65][7480/10010] Time 0.320 (0.327) Data 0.000 (0.001) Loss 1.5393 (1.4176) Prec@1 67.188 (67.232) Prec@5 83.594 (86.115) Epoch: [65][7490/10010] Time 0.319 (0.327) Data 0.001 (0.001) Loss 1.2524 (1.4176) Prec@1 72.656 (67.233) Prec@5 89.062 (86.114) Epoch: [65][7500/10010] Time 0.316 (0.327) Data 0.001 (0.001) Loss 1.3200 (1.4176) Prec@1 73.438 (67.233) Prec@5 87.500 (86.114) Epoch: [65][7510/10010] Time 0.327 (0.327) Data 0.000 (0.001) Loss 1.7134 (1.4175) Prec@1 54.688 (67.234) Prec@5 85.938 (86.117) Epoch: [65][7520/10010] Time 0.326 (0.327) Data 0.000 (0.001) Loss 1.4136 (1.4174) Prec@1 68.750 (67.234) Prec@5 84.375 (86.118) Epoch: [65][7530/10010] Time 0.318 (0.327) Data 0.001 (0.001) Loss 1.4283 (1.4174) Prec@1 67.188 (67.234) Prec@5 86.719 (86.119) Epoch: [65][7540/10010] Time 0.340 (0.327) Data 0.001 (0.001) Loss 1.5964 (1.4174) Prec@1 61.719 (67.232) Prec@5 84.375 (86.118) Epoch: [65][7550/10010] Time 0.338 (0.327) Data 0.000 (0.001) Loss 1.4830 (1.4174) Prec@1 65.625 (67.231) Prec@5 85.156 (86.117) Epoch: [65][7560/10010] Time 0.319 (0.327) Data 0.001 (0.001) Loss 1.7471 (1.4174) Prec@1 64.062 (67.233) Prec@5 84.375 (86.119) Epoch: [65][7570/10010] Time 0.332 (0.327) Data 0.001 (0.001) Loss 1.5927 (1.4173) Prec@1 62.500 (67.235) Prec@5 83.594 (86.120) Epoch: [65][7580/10010] Time 0.332 (0.327) Data 0.001 (0.001) Loss 1.6751 (1.4173) Prec@1 66.406 (67.234) Prec@5 81.250 (86.120) Epoch: [65][7590/10010] Time 0.317 (0.327) Data 0.001 (0.001) Loss 1.3260 (1.4172) Prec@1 66.406 (67.237) Prec@5 89.062 (86.120) Epoch: [65][7600/10010] Time 0.336 (0.327) Data 0.000 (0.001) Loss 1.4061 (1.4172) Prec@1 69.531 (67.237) Prec@5 82.812 (86.120) Epoch: [65][7610/10010] Time 0.321 (0.327) Data 0.001 (0.001) Loss 1.3578 (1.4173) Prec@1 67.969 (67.237) Prec@5 86.719 (86.120) Epoch: [65][7620/10010] Time 0.320 (0.327) Data 0.000 (0.001) Loss 1.2361 (1.4172) Prec@1 69.531 (67.241) Prec@5 90.625 (86.123) Epoch: [65][7630/10010] Time 0.316 (0.327) Data 0.001 (0.001) Loss 1.3038 (1.4171) Prec@1 71.094 (67.241) Prec@5 88.281 (86.124) Epoch: [65][7640/10010] Time 0.332 (0.327) Data 0.001 (0.001) Loss 1.3755 (1.4171) Prec@1 71.094 (67.242) Prec@5 87.500 (86.124) Epoch: [65][7650/10010] Time 0.340 (0.327) Data 0.001 (0.001) Loss 1.1853 (1.4171) Prec@1 74.219 (67.244) Prec@5 91.406 (86.125) Epoch: [65][7660/10010] Time 0.335 (0.327) Data 0.001 (0.001) Loss 1.2290 (1.4171) Prec@1 70.312 (67.242) Prec@5 91.406 (86.126) Epoch: [65][7670/10010] Time 0.312 (0.327) Data 0.001 (0.001) Loss 1.5225 (1.4170) Prec@1 64.844 (67.242) Prec@5 83.594 (86.125) Epoch: [65][7680/10010] Time 0.317 (0.327) Data 0.001 (0.001) Loss 1.1825 (1.4170) Prec@1 68.750 (67.244) Prec@5 88.281 (86.125) Epoch: [65][7690/10010] Time 0.334 (0.327) Data 0.000 (0.001) Loss 1.6254 (1.4169) Prec@1 63.281 (67.245) Prec@5 82.812 (86.125) Epoch: [65][7700/10010] Time 0.321 (0.327) Data 0.001 (0.001) Loss 1.5308 (1.4170) Prec@1 67.188 (67.248) Prec@5 86.719 (86.125) Epoch: [65][7710/10010] Time 0.338 (0.327) Data 0.001 (0.001) Loss 1.7030 (1.4170) Prec@1 60.938 (67.246) Prec@5 85.156 (86.125) Epoch: [65][7720/10010] Time 0.328 (0.327) Data 0.000 (0.001) Loss 1.4040 (1.4170) Prec@1 66.406 (67.245) Prec@5 87.500 (86.124) Epoch: [65][7730/10010] Time 0.337 (0.327) Data 0.001 (0.001) Loss 1.4165 (1.4171) Prec@1 65.625 (67.245) Prec@5 85.938 (86.122) Epoch: [65][7740/10010] Time 0.338 (0.327) Data 0.000 (0.001) Loss 1.4065 (1.4171) Prec@1 65.625 (67.243) Prec@5 88.281 (86.120) Epoch: [65][7750/10010] Time 0.311 (0.327) Data 0.001 (0.001) Loss 1.3538 (1.4171) Prec@1 67.188 (67.243) Prec@5 84.375 (86.120) Epoch: [65][7760/10010] Time 0.334 (0.327) Data 0.001 (0.001) Loss 1.2616 (1.4170) Prec@1 76.562 (67.245) Prec@5 86.719 (86.121) Epoch: [65][7770/10010] Time 0.337 (0.327) Data 0.001 (0.001) Loss 1.3872 (1.4169) Prec@1 67.188 (67.246) Prec@5 82.812 (86.122) Epoch: [65][7780/10010] Time 0.340 (0.327) Data 0.001 (0.001) Loss 1.6807 (1.4171) Prec@1 63.281 (67.243) Prec@5 82.812 (86.121) Epoch: [65][7790/10010] Time 0.314 (0.327) Data 0.001 (0.001) Loss 1.4355 (1.4171) Prec@1 67.188 (67.242) Prec@5 85.156 (86.122) Epoch: [65][7800/10010] Time 0.339 (0.327) Data 0.000 (0.001) Loss 1.4634 (1.4171) Prec@1 66.406 (67.241) Prec@5 82.812 (86.121) Epoch: [65][7810/10010] Time 0.318 (0.327) Data 0.001 (0.001) Loss 1.5451 (1.4171) Prec@1 65.625 (67.239) Prec@5 82.031 (86.119) Epoch: [65][7820/10010] Time 0.334 (0.327) Data 0.001 (0.001) Loss 1.3846 (1.4171) Prec@1 68.750 (67.240) Prec@5 88.281 (86.119) Epoch: [65][7830/10010] Time 0.332 (0.327) Data 0.001 (0.001) Loss 1.2676 (1.4170) Prec@1 67.969 (67.243) Prec@5 89.844 (86.120) Epoch: [65][7840/10010] Time 0.338 (0.327) Data 0.001 (0.001) Loss 1.6189 (1.4170) Prec@1 64.844 (67.242) Prec@5 81.250 (86.119) Epoch: [65][7850/10010] Time 0.345 (0.327) Data 0.001 (0.001) Loss 1.5211 (1.4170) Prec@1 66.406 (67.244) Prec@5 81.250 (86.120) Epoch: [65][7860/10010] Time 0.315 (0.327) Data 0.001 (0.001) Loss 1.5661 (1.4169) Prec@1 65.625 (67.245) Prec@5 83.594 (86.122) Epoch: [65][7870/10010] Time 0.334 (0.327) Data 0.001 (0.001) Loss 1.3764 (1.4169) Prec@1 68.750 (67.246) Prec@5 85.156 (86.123) /data/vision/torralba/deepscene/lib/anaconda2/lib/python2.7/site-packages/PIL/TiffImagePlugin.py:709: UserWarning: Corrupt EXIF data. Expecting to read 4 bytes but only got 0. warnings.warn(str(msg)) Epoch: [65][7880/10010] Time 0.336 (0.327) Data 0.001 (0.001) Loss 1.6639 (1.4169) Prec@1 64.062 (67.248) Prec@5 84.375 (86.123) Epoch: [65][7890/10010] Time 0.318 (0.327) Data 0.001 (0.001) Loss 1.5110 (1.4170) Prec@1 60.938 (67.246) Prec@5 85.156 (86.122) Epoch: [65][7900/10010] Time 0.319 (0.327) Data 0.001 (0.001) Loss 1.4439 (1.4172) Prec@1 64.062 (67.242) Prec@5 87.500 (86.119) Epoch: [65][7910/10010] Time 0.331 (0.327) Data 0.001 (0.001) Loss 1.6200 (1.4172) Prec@1 65.625 (67.243) Prec@5 82.031 (86.119) Epoch: [65][7920/10010] Time 0.335 (0.327) Data 0.000 (0.001) Loss 1.1941 (1.4171) Prec@1 76.562 (67.245) Prec@5 86.719 (86.120) Epoch: [65][7930/10010] Time 0.339 (0.327) Data 0.001 (0.001) Loss 1.4367 (1.4171) Prec@1 64.062 (67.245) Prec@5 85.156 (86.120) Epoch: [65][7940/10010] Time 0.323 (0.327) Data 0.001 (0.001) Loss 1.4372 (1.4172) Prec@1 65.625 (67.242) Prec@5 85.938 (86.118) Epoch: [65][7950/10010] Time 0.333 (0.327) Data 0.000 (0.001) Loss 1.2855 (1.4171) Prec@1 71.094 (67.243) Prec@5 88.281 (86.119) Epoch: [65][7960/10010] Time 0.337 (0.327) Data 0.000 (0.001) Loss 1.4368 (1.4171) Prec@1 64.844 (67.244) Prec@5 85.938 (86.119) Epoch: [65][7970/10010] Time 0.318 (0.327) Data 0.000 (0.001) Loss 1.4982 (1.4171) Prec@1 67.188 (67.242) Prec@5 82.812 (86.120) Epoch: [65][7980/10010] Time 0.321 (0.327) Data 0.000 (0.001) Loss 1.2092 (1.4171) Prec@1 71.094 (67.244) Prec@5 88.281 (86.120) Epoch: [65][7990/10010] Time 0.319 (0.327) Data 0.001 (0.001) Loss 1.5252 (1.4170) Prec@1 63.281 (67.245) Prec@5 83.594 (86.121) Epoch: [65][8000/10010] Time 0.344 (0.327) Data 0.001 (0.001) Loss 1.4322 (1.4171) Prec@1 65.625 (67.245) Prec@5 87.500 (86.121) Epoch: [65][8010/10010] Time 0.320 (0.327) Data 0.001 (0.001) Loss 1.4111 (1.4170) Prec@1 64.062 (67.245) Prec@5 89.062 (86.121) Epoch: [65][8020/10010] Time 0.329 (0.327) Data 0.001 (0.001) Loss 1.0727 (1.4170) Prec@1 75.781 (67.247) Prec@5 89.844 (86.122) Epoch: [65][8030/10010] Time 0.327 (0.327) Data 0.001 (0.001) Loss 1.2862 (1.4170) Prec@1 69.531 (67.247) Prec@5 90.625 (86.122) Epoch: [65][8040/10010] Time 0.312 (0.327) Data 0.000 (0.001) Loss 1.3570 (1.4169) Prec@1 66.406 (67.245) Prec@5 87.500 (86.122) Epoch: [65][8050/10010] Time 0.326 (0.327) Data 0.001 (0.001) Loss 1.3739 (1.4169) Prec@1 66.406 (67.247) Prec@5 90.625 (86.122) Epoch: [65][8060/10010] Time 0.310 (0.327) Data 0.001 (0.001) Loss 1.3388 (1.4169) Prec@1 67.969 (67.246) Prec@5 85.938 (86.120) Epoch: [65][8070/10010] Time 0.316 (0.327) Data 0.001 (0.001) Loss 1.4725 (1.4169) Prec@1 66.406 (67.248) Prec@5 84.375 (86.122) Epoch: [65][8080/10010] Time 0.312 (0.327) Data 0.000 (0.001) Loss 1.1621 (1.4170) Prec@1 67.969 (67.247) Prec@5 87.500 (86.121) Epoch: [65][8090/10010] Time 0.337 (0.327) Data 0.001 (0.001) Loss 1.4258 (1.4169) Prec@1 63.281 (67.249) Prec@5 84.375 (86.121) Epoch: [65][8100/10010] Time 0.337 (0.327) Data 0.001 (0.001) Loss 1.3694 (1.4169) Prec@1 64.844 (67.248) Prec@5 84.375 (86.120) Epoch: [65][8110/10010] Time 0.337 (0.327) Data 0.000 (0.001) Loss 1.1838 (1.4168) Prec@1 71.875 (67.251) Prec@5 89.844 (86.123) Epoch: [65][8120/10010] Time 0.335 (0.327) Data 0.001 (0.001) Loss 1.4068 (1.4168) Prec@1 67.969 (67.250) Prec@5 86.719 (86.123) Epoch: [65][8130/10010] Time 0.321 (0.327) Data 0.001 (0.001) Loss 1.3310 (1.4168) Prec@1 68.750 (67.250) Prec@5 91.406 (86.124) Epoch: [65][8140/10010] Time 0.315 (0.327) Data 0.000 (0.001) Loss 1.3164 (1.4168) Prec@1 72.656 (67.252) Prec@5 90.625 (86.125) Epoch: [65][8150/10010] Time 0.329 (0.327) Data 0.001 (0.001) Loss 1.5538 (1.4168) Prec@1 64.062 (67.250) Prec@5 82.812 (86.125) Epoch: [65][8160/10010] Time 0.324 (0.327) Data 0.001 (0.001) Loss 1.4341 (1.4168) Prec@1 65.625 (67.252) Prec@5 85.938 (86.125) Epoch: [65][8170/10010] Time 0.325 (0.327) Data 0.000 (0.001) Loss 1.5163 (1.4167) Prec@1 68.750 (67.253) Prec@5 84.375 (86.125) Epoch: [65][8180/10010] Time 0.309 (0.327) Data 0.001 (0.001) Loss 1.3209 (1.4167) Prec@1 67.188 (67.253) Prec@5 88.281 (86.126) Epoch: [65][8190/10010] Time 0.315 (0.327) Data 0.001 (0.001) Loss 1.2249 (1.4166) Prec@1 71.875 (67.257) Prec@5 89.062 (86.127) Epoch: [65][8200/10010] Time 0.319 (0.327) Data 0.001 (0.001) Loss 1.2670 (1.4167) Prec@1 71.094 (67.255) Prec@5 91.406 (86.127) Epoch: [65][8210/10010] Time 0.320 (0.327) Data 0.001 (0.001) Loss 1.4425 (1.4167) Prec@1 65.625 (67.254) Prec@5 85.156 (86.127) Epoch: [65][8220/10010] Time 0.316 (0.327) Data 0.001 (0.001) Loss 1.7104 (1.4168) Prec@1 56.250 (67.252) Prec@5 84.375 (86.126) Epoch: [65][8230/10010] Time 0.321 (0.327) Data 0.001 (0.001) Loss 1.4914 (1.4168) Prec@1 63.281 (67.252) Prec@5 87.500 (86.125) Epoch: [65][8240/10010] Time 0.324 (0.327) Data 0.001 (0.001) Loss 1.8906 (1.4169) Prec@1 53.125 (67.250) Prec@5 79.688 (86.124) Epoch: [65][8250/10010] Time 0.309 (0.327) Data 0.001 (0.001) Loss 1.4589 (1.4169) Prec@1 66.406 (67.251) Prec@5 83.594 (86.124) Epoch: [65][8260/10010] Time 0.320 (0.327) Data 0.001 (0.001) Loss 1.4734 (1.4168) Prec@1 65.625 (67.253) Prec@5 81.250 (86.124) Epoch: [65][8270/10010] Time 0.334 (0.327) Data 0.001 (0.001) Loss 1.5708 (1.4168) Prec@1 64.844 (67.252) Prec@5 84.375 (86.123) Epoch: [65][8280/10010] Time 0.320 (0.327) Data 0.001 (0.001) Loss 1.3683 (1.4168) Prec@1 64.844 (67.254) Prec@5 89.062 (86.125) /data/vision/torralba/deepscene/lib/anaconda2/lib/python2.7/site-packages/PIL/TiffImagePlugin.py:692: UserWarning: Possibly corrupt EXIF data. Expecting to read 2555904 bytes but only got 0. Skipping tag 0 "Skipping tag %s" % (size, len(data), tag)) Epoch: [65][8290/10010] Time 0.316 (0.327) Data 0.001 (0.001) Loss 1.7429 (1.4169) Prec@1 58.594 (67.250) Prec@5 80.469 (86.121) Epoch: [65][8300/10010] Time 0.340 (0.327) Data 0.001 (0.001) Loss 1.4771 (1.4169) Prec@1 63.281 (67.249) Prec@5 87.500 (86.121) Epoch: [65][8310/10010] Time 0.330 (0.327) Data 0.000 (0.001) Loss 1.6108 (1.4170) Prec@1 67.188 (67.247) Prec@5 84.375 (86.120) Epoch: [65][8320/10010] Time 0.328 (0.327) Data 0.001 (0.001) Loss 1.5259 (1.4170) Prec@1 63.281 (67.248) Prec@5 82.812 (86.119) Epoch: [65][8330/10010] Time 0.318 (0.327) Data 0.001 (0.001) Loss 1.5208 (1.4170) Prec@1 67.188 (67.247) Prec@5 83.594 (86.118) Epoch: [65][8340/10010] Time 0.338 (0.327) Data 0.000 (0.001) Loss 1.8446 (1.4171) Prec@1 66.406 (67.246) Prec@5 78.906 (86.116) Epoch: [65][8350/10010] Time 0.328 (0.327) Data 0.000 (0.001) Loss 1.3680 (1.4170) Prec@1 64.062 (67.249) Prec@5 86.719 (86.119) Epoch: [65][8360/10010] Time 0.329 (0.327) Data 0.001 (0.001) Loss 1.7019 (1.4169) Prec@1 63.281 (67.251) Prec@5 81.250 (86.119) Epoch: [65][8370/10010] Time 0.337 (0.327) Data 0.000 (0.001) Loss 1.1481 (1.4168) Prec@1 74.219 (67.252) Prec@5 90.625 (86.119) Epoch: [65][8380/10010] Time 0.340 (0.327) Data 0.001 (0.001) Loss 1.2283 (1.4168) Prec@1 67.969 (67.253) Prec@5 89.062 (86.121) Epoch: [65][8390/10010] Time 0.319 (0.327) Data 0.000 (0.001) Loss 1.3785 (1.4167) Prec@1 64.844 (67.255) Prec@5 82.812 (86.122) Epoch: [65][8400/10010] Time 0.320 (0.327) Data 0.001 (0.001) Loss 1.4901 (1.4167) Prec@1 67.188 (67.256) Prec@5 85.156 (86.121) Epoch: [65][8410/10010] Time 0.320 (0.327) Data 0.001 (0.001) Loss 1.6922 (1.4167) Prec@1 60.938 (67.257) Prec@5 79.688 (86.120) Epoch: [65][8420/10010] Time 0.339 (0.327) Data 0.000 (0.001) Loss 1.4445 (1.4167) Prec@1 64.062 (67.256) Prec@5 87.500 (86.120) Epoch: [65][8430/10010] Time 0.345 (0.327) Data 0.000 (0.001) Loss 1.4197 (1.4168) Prec@1 62.500 (67.255) Prec@5 89.062 (86.120) Epoch: [65][8440/10010] Time 0.317 (0.327) Data 0.001 (0.001) Loss 1.4499 (1.4168) Prec@1 67.188 (67.254) Prec@5 82.812 (86.118) Epoch: [65][8450/10010] Time 0.322 (0.327) Data 0.001 (0.001) Loss 1.2788 (1.4169) Prec@1 68.750 (67.252) Prec@5 89.062 (86.117) Epoch: [65][8460/10010] Time 0.338 (0.327) Data 0.000 (0.001) Loss 1.3805 (1.4170) Prec@1 67.969 (67.251) Prec@5 88.281 (86.116) Epoch: [65][8470/10010] Time 0.332 (0.327) Data 0.000 (0.001) Loss 1.6819 (1.4170) Prec@1 64.062 (67.253) Prec@5 82.031 (86.117) Epoch: [65][8480/10010] Time 0.336 (0.327) Data 0.001 (0.001) Loss 1.2453 (1.4169) Prec@1 70.312 (67.253) Prec@5 87.500 (86.117) Epoch: [65][8490/10010] Time 0.325 (0.327) Data 0.000 (0.001) Loss 1.0682 (1.4169) Prec@1 78.906 (67.255) Prec@5 89.062 (86.118) Epoch: [65][8500/10010] Time 0.330 (0.327) Data 0.001 (0.001) Loss 1.4108 (1.4169) Prec@1 67.188 (67.254) Prec@5 86.719 (86.117) Epoch: [65][8510/10010] Time 0.322 (0.327) Data 0.001 (0.001) Loss 1.4338 (1.4169) Prec@1 67.969 (67.254) Prec@5 86.719 (86.118) Epoch: [65][8520/10010] Time 0.335 (0.327) Data 0.001 (0.001) Loss 1.5912 (1.4170) Prec@1 57.031 (67.250) Prec@5 85.156 (86.118) Epoch: [65][8530/10010] Time 0.314 (0.327) Data 0.001 (0.001) Loss 1.4013 (1.4169) Prec@1 65.625 (67.252) Prec@5 85.156 (86.119) Epoch: [65][8540/10010] Time 0.325 (0.327) Data 0.000 (0.001) Loss 1.3422 (1.4169) Prec@1 74.219 (67.252) Prec@5 87.500 (86.119) Epoch: [65][8550/10010] Time 0.323 (0.327) Data 0.001 (0.001) Loss 1.4027 (1.4170) Prec@1 67.969 (67.250) Prec@5 83.594 (86.117) Epoch: [65][8560/10010] Time 0.339 (0.327) Data 0.001 (0.001) Loss 1.2732 (1.4170) Prec@1 70.312 (67.250) Prec@5 87.500 (86.117) Epoch: [65][8570/10010] Time 0.324 (0.327) Data 0.000 (0.001) Loss 1.0845 (1.4169) Prec@1 71.094 (67.253) Prec@5 92.188 (86.119) Epoch: [65][8580/10010] Time 0.330 (0.327) Data 0.000 (0.001) Loss 1.5053 (1.4169) Prec@1 66.406 (67.252) Prec@5 86.719 (86.120) Epoch: [65][8590/10010] Time 0.323 (0.327) Data 0.001 (0.001) Loss 1.6758 (1.4170) Prec@1 60.938 (67.250) Prec@5 85.156 (86.119) Epoch: [65][8600/10010] Time 0.318 (0.327) Data 0.001 (0.001) Loss 1.4674 (1.4171) Prec@1 65.625 (67.248) Prec@5 88.281 (86.117) Epoch: [65][8610/10010] Time 0.335 (0.327) Data 0.001 (0.001) Loss 1.4186 (1.4169) Prec@1 70.312 (67.250) Prec@5 86.719 (86.120) Epoch: [65][8620/10010] Time 0.312 (0.327) Data 0.001 (0.001) Loss 1.2258 (1.4169) Prec@1 68.750 (67.249) Prec@5 89.062 (86.121) Epoch: [65][8630/10010] Time 0.340 (0.327) Data 0.000 (0.001) Loss 1.4234 (1.4169) Prec@1 63.281 (67.250) Prec@5 85.938 (86.122) Epoch: [65][8640/10010] Time 0.337 (0.327) Data 0.001 (0.001) Loss 1.2537 (1.4169) Prec@1 71.094 (67.250) Prec@5 88.281 (86.121) Epoch: [65][8650/10010] Time 0.332 (0.327) Data 0.001 (0.001) Loss 1.6138 (1.4170) Prec@1 59.375 (67.249) Prec@5 82.812 (86.119) Epoch: [65][8660/10010] Time 0.333 (0.327) Data 0.001 (0.001) Loss 1.5428 (1.4170) Prec@1 62.500 (67.249) Prec@5 82.031 (86.120) Epoch: [65][8670/10010] Time 0.334 (0.327) Data 0.001 (0.001) Loss 1.3452 (1.4170) Prec@1 65.625 (67.247) Prec@5 85.938 (86.120) Epoch: [65][8680/10010] Time 0.330 (0.327) Data 0.001 (0.001) Loss 1.5330 (1.4170) Prec@1 65.625 (67.247) Prec@5 82.031 (86.119) Epoch: [65][8690/10010] Time 0.340 (0.327) Data 0.001 (0.001) Loss 1.3483 (1.4169) Prec@1 66.406 (67.248) Prec@5 83.594 (86.118) Epoch: [65][8700/10010] Time 0.320 (0.327) Data 0.001 (0.001) Loss 1.4744 (1.4169) Prec@1 66.406 (67.251) Prec@5 85.938 (86.120) Epoch: [65][8710/10010] Time 0.341 (0.327) Data 0.001 (0.001) Loss 1.4515 (1.4169) Prec@1 64.062 (67.250) Prec@5 85.938 (86.120) Epoch: [65][8720/10010] Time 0.325 (0.327) Data 0.001 (0.001) Loss 1.8174 (1.4169) Prec@1 61.719 (67.249) Prec@5 80.469 (86.120) Epoch: [65][8730/10010] Time 0.338 (0.327) Data 0.001 (0.001) Loss 1.6397 (1.4170) Prec@1 63.281 (67.247) Prec@5 84.375 (86.119) Epoch: [65][8740/10010] Time 0.317 (0.327) Data 0.001 (0.001) Loss 1.3216 (1.4169) Prec@1 67.969 (67.246) Prec@5 89.062 (86.121) Epoch: [65][8750/10010] Time 0.339 (0.327) Data 0.000 (0.001) Loss 1.3298 (1.4170) Prec@1 72.656 (67.245) Prec@5 85.156 (86.120) Epoch: [65][8760/10010] Time 0.319 (0.327) Data 0.001 (0.001) Loss 1.6746 (1.4170) Prec@1 63.281 (67.245) Prec@5 82.812 (86.120) Epoch: [65][8770/10010] Time 0.318 (0.327) Data 0.000 (0.001) Loss 1.4632 (1.4170) Prec@1 63.281 (67.246) Prec@5 85.938 (86.121) Epoch: [65][8780/10010] Time 0.335 (0.327) Data 0.001 (0.001) Loss 1.1286 (1.4169) Prec@1 69.531 (67.245) Prec@5 89.062 (86.121) Epoch: [65][8790/10010] Time 0.333 (0.327) Data 0.000 (0.001) Loss 1.4069 (1.4170) Prec@1 68.750 (67.244) Prec@5 87.500 (86.120) Epoch: [65][8800/10010] Time 0.339 (0.327) Data 0.000 (0.001) Loss 1.5382 (1.4169) Prec@1 64.844 (67.245) Prec@5 85.156 (86.121) Epoch: [65][8810/10010] Time 0.331 (0.327) Data 0.001 (0.001) Loss 1.4965 (1.4169) Prec@1 65.625 (67.244) Prec@5 86.719 (86.122) Epoch: [65][8820/10010] Time 0.334 (0.327) Data 0.001 (0.001) Loss 1.2246 (1.4169) Prec@1 71.094 (67.244) Prec@5 89.844 (86.123) Epoch: [65][8830/10010] Time 0.322 (0.327) Data 0.000 (0.001) Loss 1.0568 (1.4168) Prec@1 75.781 (67.247) Prec@5 89.062 (86.124) Epoch: [65][8840/10010] Time 0.337 (0.327) Data 0.001 (0.001) Loss 1.3390 (1.4168) Prec@1 66.406 (67.247) Prec@5 88.281 (86.124) Epoch: [65][8850/10010] Time 0.334 (0.327) Data 0.001 (0.001) Loss 1.3555 (1.4168) Prec@1 71.875 (67.249) Prec@5 85.156 (86.126) Epoch: [65][8860/10010] Time 0.320 (0.327) Data 0.001 (0.001) Loss 1.3215 (1.4168) Prec@1 69.531 (67.248) Prec@5 85.938 (86.125) Epoch: [65][8870/10010] Time 0.335 (0.327) Data 0.001 (0.001) Loss 1.3473 (1.4167) Prec@1 71.875 (67.248) Prec@5 84.375 (86.126) Epoch: [65][8880/10010] Time 0.335 (0.327) Data 0.001 (0.001) Loss 1.3875 (1.4167) Prec@1 65.625 (67.250) Prec@5 91.406 (86.127) Epoch: [65][8890/10010] Time 0.314 (0.327) Data 0.001 (0.001) Loss 1.3158 (1.4167) Prec@1 67.969 (67.250) Prec@5 87.500 (86.127) Epoch: [65][8900/10010] Time 0.318 (0.327) Data 0.001 (0.001) Loss 1.3857 (1.4166) Prec@1 62.500 (67.252) Prec@5 88.281 (86.129) Epoch: [65][8910/10010] Time 0.327 (0.327) Data 0.000 (0.001) Loss 1.3122 (1.4166) Prec@1 75.000 (67.251) Prec@5 85.938 (86.128) Epoch: [65][8920/10010] Time 0.322 (0.327) Data 0.001 (0.001) Loss 1.6035 (1.4166) Prec@1 63.281 (67.252) Prec@5 82.031 (86.127) Epoch: [65][8930/10010] Time 0.339 (0.327) Data 0.001 (0.001) Loss 1.0765 (1.4166) Prec@1 75.781 (67.254) Prec@5 87.500 (86.127) Epoch: [65][8940/10010] Time 0.333 (0.327) Data 0.001 (0.001) Loss 1.3217 (1.4166) Prec@1 63.281 (67.254) Prec@5 86.719 (86.127) Epoch: [65][8950/10010] Time 0.343 (0.327) Data 0.001 (0.001) Loss 1.5693 (1.4166) Prec@1 64.844 (67.254) Prec@5 83.594 (86.127) Epoch: [65][8960/10010] Time 0.339 (0.327) Data 0.000 (0.001) Loss 1.3663 (1.4165) Prec@1 61.719 (67.255) Prec@5 87.500 (86.129) Epoch: [65][8970/10010] Time 0.331 (0.327) Data 0.001 (0.001) Loss 1.4571 (1.4165) Prec@1 62.500 (67.254) Prec@5 87.500 (86.130) Epoch: [65][8980/10010] Time 0.333 (0.327) Data 0.001 (0.001) Loss 1.2083 (1.4165) Prec@1 71.875 (67.256) Prec@5 88.281 (86.131) Epoch: [65][8990/10010] Time 0.330 (0.327) Data 0.000 (0.001) Loss 1.2870 (1.4165) Prec@1 67.188 (67.257) Prec@5 86.719 (86.130) Epoch: [65][9000/10010] Time 0.330 (0.327) Data 0.001 (0.001) Loss 1.3690 (1.4165) Prec@1 73.438 (67.257) Prec@5 86.719 (86.129) Epoch: [65][9010/10010] Time 0.334 (0.327) Data 0.001 (0.001) Loss 1.4744 (1.4164) Prec@1 67.188 (67.255) Prec@5 88.281 (86.131) Epoch: [65][9020/10010] Time 0.319 (0.327) Data 0.001 (0.001) Loss 1.4236 (1.4165) Prec@1 66.406 (67.256) Prec@5 86.719 (86.131) Epoch: [65][9030/10010] Time 0.315 (0.327) Data 0.001 (0.001) Loss 1.6453 (1.4165) Prec@1 62.500 (67.254) Prec@5 86.719 (86.132) Epoch: [65][9040/10010] Time 0.341 (0.327) Data 0.001 (0.001) Loss 1.2749 (1.4165) Prec@1 68.750 (67.254) Prec@5 85.156 (86.132) Epoch: [65][9050/10010] Time 0.340 (0.327) Data 0.001 (0.001) Loss 1.7357 (1.4164) Prec@1 59.375 (67.254) Prec@5 83.594 (86.133) Epoch: [65][9060/10010] Time 0.311 (0.327) Data 0.001 (0.001) Loss 1.4736 (1.4164) Prec@1 67.969 (67.256) Prec@5 84.375 (86.133) Epoch: [65][9070/10010] Time 0.316 (0.327) Data 0.001 (0.001) Loss 1.2268 (1.4163) Prec@1 70.312 (67.256) Prec@5 89.062 (86.133) Epoch: [65][9080/10010] Time 0.334 (0.327) Data 0.000 (0.001) Loss 1.6028 (1.4163) Prec@1 60.156 (67.256) Prec@5 84.375 (86.133) Epoch: [65][9090/10010] Time 0.336 (0.327) Data 0.000 (0.001) Loss 1.5316 (1.4163) Prec@1 69.531 (67.259) Prec@5 83.594 (86.133) Epoch: [65][9100/10010] Time 0.339 (0.327) Data 0.000 (0.001) Loss 1.7295 (1.4163) Prec@1 58.594 (67.257) Prec@5 81.250 (86.133) Epoch: [65][9110/10010] Time 0.334 (0.327) Data 0.000 (0.001) Loss 1.3541 (1.4164) Prec@1 69.531 (67.255) Prec@5 87.500 (86.132) Epoch: [65][9120/10010] Time 0.333 (0.327) Data 0.001 (0.001) Loss 1.1395 (1.4164) Prec@1 68.750 (67.254) Prec@5 93.750 (86.132) Epoch: [65][9130/10010] Time 0.336 (0.327) Data 0.000 (0.001) Loss 1.4902 (1.4166) Prec@1 68.750 (67.252) Prec@5 85.156 (86.131) Epoch: [65][9140/10010] Time 0.326 (0.327) Data 0.000 (0.001) Loss 2.0698 (1.4166) Prec@1 52.344 (67.251) Prec@5 77.344 (86.131) Epoch: [65][9150/10010] Time 0.334 (0.327) Data 0.001 (0.001) Loss 1.5955 (1.4167) Prec@1 64.062 (67.249) Prec@5 81.250 (86.131) Epoch: [65][9160/10010] Time 0.326 (0.327) Data 0.001 (0.001) Loss 1.3972 (1.4168) Prec@1 71.094 (67.247) Prec@5 85.938 (86.130) Epoch: [65][9170/10010] Time 0.313 (0.327) Data 0.000 (0.001) Loss 1.6862 (1.4169) Prec@1 63.281 (67.244) Prec@5 77.344 (86.127) Epoch: [65][9180/10010] Time 0.324 (0.327) Data 0.000 (0.001) Loss 1.3768 (1.4169) Prec@1 66.406 (67.243) Prec@5 86.719 (86.126) Epoch: [65][9190/10010] Time 0.316 (0.327) Data 0.000 (0.001) Loss 1.1926 (1.4170) Prec@1 71.875 (67.242) Prec@5 93.750 (86.126) Epoch: [65][9200/10010] Time 0.315 (0.327) Data 0.001 (0.001) Loss 1.6097 (1.4170) Prec@1 65.625 (67.242) Prec@5 82.812 (86.125) Epoch: [65][9210/10010] Time 0.334 (0.327) Data 0.000 (0.001) Loss 1.3532 (1.4170) Prec@1 65.625 (67.241) Prec@5 88.281 (86.125) Epoch: [65][9220/10010] Time 0.335 (0.327) Data 0.001 (0.001) Loss 1.7216 (1.4170) Prec@1 64.844 (67.241) Prec@5 80.469 (86.124) Epoch: [65][9230/10010] Time 0.328 (0.327) Data 0.001 (0.001) Loss 1.4958 (1.4170) Prec@1 65.625 (67.240) Prec@5 83.594 (86.123) Epoch: [65][9240/10010] Time 0.317 (0.327) Data 0.001 (0.001) Loss 1.6101 (1.4172) Prec@1 64.062 (67.235) Prec@5 84.375 (86.121) Epoch: [65][9250/10010] Time 0.343 (0.327) Data 0.001 (0.001) Loss 1.5547 (1.4172) Prec@1 67.969 (67.236) Prec@5 82.812 (86.122) Epoch: [65][9260/10010] Time 0.335 (0.327) Data 0.001 (0.001) Loss 1.4891 (1.4172) Prec@1 67.969 (67.235) Prec@5 88.281 (86.123) Epoch: [65][9270/10010] Time 0.335 (0.327) Data 0.001 (0.001) Loss 1.2366 (1.4171) Prec@1 68.750 (67.236) Prec@5 87.500 (86.124) Epoch: [65][9280/10010] Time 0.324 (0.327) Data 0.001 (0.001) Loss 1.1987 (1.4172) Prec@1 69.531 (67.234) Prec@5 86.719 (86.123) Epoch: [65][9290/10010] Time 0.319 (0.327) Data 0.001 (0.001) Loss 1.5432 (1.4172) Prec@1 60.938 (67.234) Prec@5 87.500 (86.124) Epoch: [65][9300/10010] Time 0.332 (0.327) Data 0.001 (0.001) Loss 1.5020 (1.4173) Prec@1 63.281 (67.232) Prec@5 85.938 (86.123) Epoch: [65][9310/10010] Time 0.329 (0.327) Data 0.001 (0.001) Loss 1.5382 (1.4173) Prec@1 63.281 (67.232) Prec@5 85.156 (86.122) Epoch: [65][9320/10010] Time 0.336 (0.327) Data 0.001 (0.001) Loss 1.4630 (1.4174) Prec@1 61.719 (67.231) Prec@5 85.156 (86.120) Epoch: [65][9330/10010] Time 0.323 (0.327) Data 0.001 (0.001) Loss 1.5740 (1.4173) Prec@1 64.062 (67.233) Prec@5 86.719 (86.121) Epoch: [65][9340/10010] Time 0.321 (0.327) Data 0.001 (0.001) Loss 1.8022 (1.4173) Prec@1 57.031 (67.232) Prec@5 80.469 (86.121) Epoch: [65][9350/10010] Time 0.320 (0.327) Data 0.001 (0.001) Loss 1.5929 (1.4173) Prec@1 68.750 (67.234) Prec@5 82.031 (86.121) Epoch: [65][9360/10010] Time 0.330 (0.327) Data 0.001 (0.001) Loss 1.5702 (1.4173) Prec@1 63.281 (67.234) Prec@5 85.938 (86.121) Epoch: [65][9370/10010] Time 0.319 (0.327) Data 0.001 (0.001) Loss 1.2706 (1.4173) Prec@1 73.438 (67.234) Prec@5 88.281 (86.122) Epoch: [65][9380/10010] Time 0.334 (0.327) Data 0.000 (0.001) Loss 1.6425 (1.4174) Prec@1 60.938 (67.232) Prec@5 84.375 (86.122) Epoch: [65][9390/10010] Time 0.325 (0.327) Data 0.001 (0.001) Loss 1.5926 (1.4176) Prec@1 63.281 (67.229) Prec@5 82.031 (86.119) Epoch: [65][9400/10010] Time 0.337 (0.327) Data 0.001 (0.001) Loss 1.4331 (1.4175) Prec@1 70.312 (67.231) Prec@5 84.375 (86.120) Epoch: [65][9410/10010] Time 0.323 (0.327) Data 0.000 (0.001) Loss 1.4299 (1.4175) Prec@1 67.188 (67.233) Prec@5 85.156 (86.121) Epoch: [65][9420/10010] Time 0.331 (0.327) Data 0.001 (0.001) Loss 1.5659 (1.4175) Prec@1 64.844 (67.232) Prec@5 84.375 (86.119) Epoch: [65][9430/10010] Time 0.334 (0.327) Data 0.001 (0.001) Loss 1.2628 (1.4176) Prec@1 70.312 (67.231) Prec@5 89.062 (86.119) Epoch: [65][9440/10010] Time 0.319 (0.327) Data 0.000 (0.001) Loss 1.4768 (1.4175) Prec@1 67.969 (67.232) Prec@5 86.719 (86.120) Epoch: [65][9450/10010] Time 0.315 (0.327) Data 0.001 (0.001) Loss 1.1895 (1.4174) Prec@1 72.656 (67.234) Prec@5 89.062 (86.121) Epoch: [65][9460/10010] Time 0.328 (0.327) Data 0.001 (0.001) Loss 1.5032 (1.4175) Prec@1 60.938 (67.232) Prec@5 83.594 (86.120) Epoch: [65][9470/10010] Time 0.331 (0.327) Data 0.000 (0.001) Loss 1.3092 (1.4174) Prec@1 73.438 (67.232) Prec@5 86.719 (86.122) Epoch: [65][9480/10010] Time 0.336 (0.327) Data 0.001 (0.001) Loss 1.5115 (1.4174) Prec@1 64.844 (67.233) Prec@5 86.719 (86.124) Epoch: [65][9490/10010] Time 0.315 (0.327) Data 0.001 (0.001) Loss 1.2391 (1.4174) Prec@1 70.312 (67.231) Prec@5 86.719 (86.122) Epoch: [65][9500/10010] Time 0.317 (0.327) Data 0.001 (0.001) Loss 1.5530 (1.4174) Prec@1 64.844 (67.232) Prec@5 86.719 (86.123) Epoch: [65][9510/10010] Time 0.322 (0.327) Data 0.000 (0.001) Loss 1.6962 (1.4174) Prec@1 59.375 (67.231) Prec@5 82.031 (86.122) Epoch: [65][9520/10010] Time 0.336 (0.327) Data 0.001 (0.001) Loss 1.5107 (1.4175) Prec@1 64.062 (67.229) Prec@5 86.719 (86.121) Epoch: [65][9530/10010] Time 0.319 (0.327) Data 0.001 (0.001) Loss 1.3958 (1.4175) Prec@1 67.188 (67.231) Prec@5 85.938 (86.120) Epoch: [65][9540/10010] Time 0.324 (0.327) Data 0.001 (0.001) Loss 1.2158 (1.4175) Prec@1 75.000 (67.232) Prec@5 88.281 (86.121) Epoch: [65][9550/10010] Time 0.341 (0.327) Data 0.001 (0.001) Loss 1.2432 (1.4174) Prec@1 71.875 (67.234) Prec@5 90.625 (86.122) Epoch: [65][9560/10010] Time 0.337 (0.327) Data 0.001 (0.001) Loss 1.1320 (1.4175) Prec@1 75.000 (67.233) Prec@5 89.844 (86.121) Epoch: [65][9570/10010] Time 0.331 (0.327) Data 0.001 (0.001) Loss 1.3789 (1.4175) Prec@1 66.406 (67.231) Prec@5 89.062 (86.121) Epoch: [65][9580/10010] Time 0.339 (0.327) Data 0.001 (0.001) Loss 1.2415 (1.4174) Prec@1 69.531 (67.233) Prec@5 88.281 (86.122) Epoch: [65][9590/10010] Time 0.315 (0.327) Data 0.001 (0.001) Loss 1.1806 (1.4174) Prec@1 74.219 (67.234) Prec@5 87.500 (86.122) Epoch: [65][9600/10010] Time 0.316 (0.327) Data 0.001 (0.001) Loss 1.5658 (1.4174) Prec@1 66.406 (67.233) Prec@5 82.812 (86.122) Epoch: [65][9610/10010] Time 0.321 (0.327) Data 0.001 (0.001) Loss 1.2595 (1.4173) Prec@1 70.312 (67.235) Prec@5 87.500 (86.124) Epoch: [65][9620/10010] Time 0.330 (0.327) Data 0.001 (0.001) Loss 1.4557 (1.4173) Prec@1 69.531 (67.235) Prec@5 87.500 (86.125) Epoch: [65][9630/10010] Time 0.319 (0.327) Data 0.000 (0.001) Loss 1.7614 (1.4174) Prec@1 59.375 (67.233) Prec@5 81.250 (86.124) Epoch: [65][9640/10010] Time 0.334 (0.327) Data 0.001 (0.001) Loss 1.2343 (1.4174) Prec@1 68.750 (67.232) Prec@5 89.844 (86.124) Epoch: [65][9650/10010] Time 0.337 (0.327) Data 0.000 (0.001) Loss 1.4970 (1.4174) Prec@1 70.312 (67.232) Prec@5 86.719 (86.123) Epoch: [65][9660/10010] Time 0.334 (0.327) Data 0.001 (0.001) Loss 1.4572 (1.4174) Prec@1 64.062 (67.230) Prec@5 85.156 (86.124) Epoch: [65][9670/10010] Time 0.309 (0.327) Data 0.001 (0.001) Loss 1.5365 (1.4173) Prec@1 64.844 (67.232) Prec@5 85.156 (86.125) Epoch: [65][9680/10010] Time 0.320 (0.327) Data 0.000 (0.001) Loss 1.2745 (1.4173) Prec@1 67.188 (67.232) Prec@5 85.156 (86.125) Epoch: [65][9690/10010] Time 0.338 (0.327) Data 0.000 (0.001) Loss 1.5647 (1.4172) Prec@1 62.500 (67.232) Prec@5 83.594 (86.126) Epoch: [65][9700/10010] Time 0.323 (0.327) Data 0.001 (0.001) Loss 1.3656 (1.4172) Prec@1 69.531 (67.232) Prec@5 87.500 (86.128) Epoch: [65][9710/10010] Time 0.323 (0.327) Data 0.001 (0.001) Loss 1.3481 (1.4173) Prec@1 67.969 (67.229) Prec@5 89.844 (86.127) Epoch: [65][9720/10010] Time 0.344 (0.327) Data 0.001 (0.001) Loss 1.6100 (1.4173) Prec@1 64.062 (67.229) Prec@5 80.469 (86.127) Epoch: [65][9730/10010] Time 0.339 (0.327) Data 0.001 (0.001) Loss 1.5582 (1.4173) Prec@1 67.969 (67.229) Prec@5 82.031 (86.128) Epoch: [65][9740/10010] Time 0.335 (0.327) Data 0.001 (0.001) Loss 1.4677 (1.4173) Prec@1 71.094 (67.229) Prec@5 85.156 (86.127) Epoch: [65][9750/10010] Time 0.339 (0.327) Data 0.001 (0.001) Loss 1.4842 (1.4173) Prec@1 63.281 (67.228) Prec@5 86.719 (86.127) Epoch: [65][9760/10010] Time 0.315 (0.327) Data 0.001 (0.001) Loss 1.6296 (1.4173) Prec@1 66.406 (67.229) Prec@5 82.031 (86.127) Epoch: [65][9770/10010] Time 0.320 (0.327) Data 0.001 (0.001) Loss 1.2629 (1.4172) Prec@1 71.875 (67.230) Prec@5 87.500 (86.128) Epoch: [65][9780/10010] Time 0.340 (0.327) Data 0.000 (0.001) Loss 1.6657 (1.4171) Prec@1 62.500 (67.233) Prec@5 82.031 (86.130) Epoch: [65][9790/10010] Time 0.326 (0.327) Data 0.000 (0.001) Loss 1.9067 (1.4171) Prec@1 57.031 (67.231) Prec@5 81.250 (86.129) Epoch: [65][9800/10010] Time 0.321 (0.327) Data 0.000 (0.001) Loss 1.3340 (1.4171) Prec@1 74.219 (67.233) Prec@5 85.156 (86.130) Epoch: [65][9810/10010] Time 0.339 (0.327) Data 0.001 (0.001) Loss 1.3882 (1.4170) Prec@1 67.188 (67.232) Prec@5 90.625 (86.131) Epoch: [65][9820/10010] Time 0.318 (0.327) Data 0.001 (0.001) Loss 1.6251 (1.4170) Prec@1 57.812 (67.231) Prec@5 82.812 (86.131) Epoch: [65][9830/10010] Time 0.339 (0.327) Data 0.001 (0.001) Loss 1.6083 (1.4171) Prec@1 61.719 (67.228) Prec@5 85.156 (86.130) Epoch: [65][9840/10010] Time 0.322 (0.327) Data 0.001 (0.001) Loss 1.4818 (1.4171) Prec@1 62.500 (67.227) Prec@5 84.375 (86.129) Epoch: [65][9850/10010] Time 0.323 (0.327) Data 0.001 (0.001) Loss 1.5138 (1.4171) Prec@1 67.188 (67.226) Prec@5 85.156 (86.131) Epoch: [65][9860/10010] Time 0.338 (0.327) Data 0.001 (0.001) Loss 1.5080 (1.4171) Prec@1 65.625 (67.226) Prec@5 84.375 (86.130) Epoch: [65][9870/10010] Time 0.327 (0.327) Data 0.000 (0.001) Loss 1.2175 (1.4171) Prec@1 72.656 (67.226) Prec@5 86.719 (86.130) Epoch: [65][9880/10010] Time 0.337 (0.327) Data 0.001 (0.001) Loss 1.3165 (1.4171) Prec@1 65.625 (67.226) Prec@5 86.719 (86.131) Epoch: [65][9890/10010] Time 0.331 (0.327) Data 0.001 (0.001) Loss 1.3702 (1.4170) Prec@1 67.188 (67.227) Prec@5 89.844 (86.131) Epoch: [65][9900/10010] Time 0.324 (0.327) Data 0.001 (0.001) Loss 1.5274 (1.4171) Prec@1 61.719 (67.226) Prec@5 83.594 (86.129) Epoch: [65][9910/10010] Time 0.332 (0.327) Data 0.001 (0.001) Loss 1.2517 (1.4172) Prec@1 67.969 (67.225) Prec@5 89.062 (86.128) Epoch: [65][9920/10010] Time 0.333 (0.327) Data 0.001 (0.001) Loss 1.5705 (1.4172) Prec@1 64.844 (67.223) Prec@5 81.250 (86.126) Epoch: [65][9930/10010] Time 0.331 (0.327) Data 0.001 (0.001) Loss 1.5126 (1.4173) Prec@1 59.375 (67.222) Prec@5 86.719 (86.126) Epoch: [65][9940/10010] Time 0.318 (0.327) Data 0.001 (0.001) Loss 1.4357 (1.4173) Prec@1 67.969 (67.222) Prec@5 84.375 (86.126) Epoch: [65][9950/10010] Time 0.318 (0.327) Data 0.001 (0.001) Loss 1.3305 (1.4174) Prec@1 65.625 (67.219) Prec@5 86.719 (86.124) Epoch: [65][9960/10010] Time 0.332 (0.327) Data 0.001 (0.001) Loss 1.3823 (1.4174) Prec@1 65.625 (67.219) Prec@5 86.719 (86.124) Epoch: [65][9970/10010] Time 0.330 (0.327) Data 0.000 (0.001) Loss 1.3545 (1.4174) Prec@1 70.312 (67.219) Prec@5 88.281 (86.125) Epoch: [65][9980/10010] Time 0.317 (0.327) Data 0.001 (0.001) Loss 1.5954 (1.4174) Prec@1 66.406 (67.219) Prec@5 83.594 (86.125) Epoch: [65][9990/10010] Time 0.321 (0.327) Data 0.001 (0.001) Loss 1.5102 (1.4174) Prec@1 63.281 (67.219) Prec@5 84.375 (86.126) Epoch: [65][10000/10010] Time 0.316 (0.327) Data 0.000 (0.001) Loss 1.4003 (1.4174) Prec@1 64.844 (67.218) Prec@5 83.594 (86.126) Test: [0/391] Time 1.406 (1.406) Loss 0.6715 (0.6715) Prec@1 82.812 (82.812) Prec@5 95.312 (95.312) Test: [10/391] Time 0.207 (0.238) Loss 1.1999 (0.6358) Prec@1 71.875 (84.091) Prec@5 90.625 (95.384) Test: [20/391] Time 0.109 (0.176) Loss 0.8306 (0.8888) Prec@1 78.125 (77.158) Prec@5 92.969 (93.118) Test: [30/391] Time 0.107 (0.157) Loss 1.6983 (1.0327) Prec@1 67.969 (73.639) Prec@5 86.719 (91.935) Test: [40/391] Time 0.109 (0.145) Loss 0.9039 (0.9236) Prec@1 79.688 (76.467) Prec@5 91.406 (92.893) Test: [50/391] Time 0.103 (0.138) Loss 0.5076 (0.9440) Prec@1 85.938 (76.363) Prec@5 96.875 (92.540) Test: [60/391] Time 0.113 (0.132) Loss 1.0917 (0.8944) Prec@1 74.219 (77.587) Prec@5 90.625 (92.994) Test: [70/391] Time 0.104 (0.129) Loss 0.9489 (0.9258) Prec@1 72.656 (76.518) Prec@5 97.656 (92.958) Test: [80/391] Time 0.108 (0.127) Loss 0.9013 (0.9381) Prec@1 77.344 (75.916) Prec@5 94.531 (93.036) Test: [90/391] Time 0.106 (0.124) Loss 1.1436 (0.9439) Prec@1 59.375 (75.713) Prec@5 94.531 (93.063) Test: [100/391] Time 0.110 (0.123) Loss 0.6706 (0.9355) Prec@1 82.812 (75.580) Prec@5 96.875 (93.356) Test: [110/391] Time 0.109 (0.121) Loss 1.3798 (0.9392) Prec@1 48.438 (75.169) Prec@5 94.531 (93.476) Test: [120/391] Time 0.103 (0.120) Loss 0.6878 (0.9318) Prec@1 83.594 (75.549) Prec@5 97.656 (93.601) Test: [130/391] Time 0.102 (0.119) Loss 0.4424 (0.9238) Prec@1 91.406 (75.942) Prec@5 96.875 (93.684) Test: [140/391] Time 0.107 (0.118) Loss 1.1890 (0.9226) Prec@1 64.844 (75.870) Prec@5 90.625 (93.750) Test: [150/391] Time 0.112 (0.118) Loss 0.8723 (0.9285) Prec@1 69.531 (75.823) Prec@5 94.531 (93.605) Test: [160/391] Time 0.105 (0.117) Loss 1.0056 (0.9330) Prec@1 68.750 (75.679) Prec@5 94.531 (93.556) Test: [170/391] Time 0.111 (0.117) Loss 1.7583 (0.9653) Prec@1 54.688 (75.018) Prec@5 87.500 (93.188) Test: [180/391] Time 0.107 (0.116) Loss 1.9551 (0.9961) Prec@1 52.344 (74.404) Prec@5 87.500 (92.822) Test: [190/391] Time 0.106 (0.115) Loss 2.0133 (1.0319) Prec@1 57.031 (73.675) Prec@5 82.812 (92.380) Test: [200/391] Time 0.106 (0.115) Loss 1.1554 (1.0651) Prec@1 68.750 (73.006) Prec@5 91.406 (91.915) Test: [210/391] Time 0.103 (0.115) Loss 1.5346 (1.0838) Prec@1 64.844 (72.619) Prec@5 85.938 (91.677) Test: [220/391] Time 0.110 (0.114) Loss 0.6878 (1.0947) Prec@1 80.469 (72.434) Prec@5 95.312 (91.424) Test: [230/391] Time 0.103 (0.114) Loss 2.1165 (1.1085) Prec@1 51.562 (72.206) Prec@5 78.906 (91.244) Test: [240/391] Time 0.104 (0.114) Loss 1.3275 (1.1165) Prec@1 71.094 (72.134) Prec@5 85.938 (91.098) Test: [250/391] Time 0.105 (0.113) Loss 0.7765 (1.1403) Prec@1 78.906 (71.570) Prec@5 92.188 (90.781) Test: [260/391] Time 0.165 (0.113) Loss 1.3808 (1.1557) Prec@1 68.750 (71.285) Prec@5 85.156 (90.613) Test: [270/391] Time 0.106 (0.113) Loss 1.9711 (1.1661) Prec@1 48.438 (71.027) Prec@5 83.594 (90.458) Test: [280/391] Time 0.103 (0.112) Loss 1.3340 (1.1752) Prec@1 65.625 (70.919) Prec@5 89.062 (90.341) Test: [290/391] Time 0.104 (0.112) Loss 1.7031 (1.1871) Prec@1 46.875 (70.656) Prec@5 86.719 (90.144) Test: [300/391] Time 0.101 (0.112) Loss 1.2229 (1.1972) Prec@1 76.562 (70.473) Prec@5 87.500 (89.987) Test: [310/391] Time 0.103 (0.112) Loss 1.5191 (1.2055) Prec@1 67.188 (70.345) Prec@5 84.375 (89.841) Test: [320/391] Time 0.105 (0.112) Loss 0.8089 (1.2127) Prec@1 82.812 (70.252) Prec@5 92.969 (89.763) Test: [330/391] Time 0.107 (0.112) Loss 1.8730 (1.2299) Prec@1 58.594 (69.876) Prec@5 82.031 (89.537) Test: [340/391] Time 0.115 (0.111) Loss 1.1278 (1.2370) Prec@1 62.500 (69.676) Prec@5 94.531 (89.441) Test: [350/391] Time 0.106 (0.111) Loss 1.2268 (1.2415) Prec@1 73.438 (69.578) Prec@5 89.062 (89.361) Test: [360/391] Time 0.110 (0.111) Loss 1.3867 (1.2500) Prec@1 60.156 (69.421) Prec@5 92.188 (89.296) Test: [370/391] Time 0.107 (0.111) Loss 1.1563 (1.2451) Prec@1 67.188 (69.506) Prec@5 94.531 (89.345) Test: [380/391] Time 0.106 (0.111) Loss 0.9735 (1.2460) Prec@1 75.781 (69.486) Prec@5 92.969 (89.323) Test: [390/391] Time 0.069 (0.111) Loss 2.0210 (1.2401) Prec@1 43.750 (69.634) Prec@5 78.750 (89.396) * Prec@1 69.634 Prec@5 89.396 Epoch: [66][0/10010] Time 2.823 (2.823) Data 2.646 (2.646) Loss 1.2560 (1.2560) Prec@1 66.406 (66.406) Prec@5 90.625 (90.625) Epoch: [66][10/10010] Time 0.319 (0.544) Data 0.000 (0.241) Loss 1.3137 (1.3328) Prec@1 67.969 (68.395) Prec@5 89.062 (87.145) Epoch: [66][20/10010] Time 0.319 (0.436) Data 0.001 (0.127) Loss 1.7008 (1.3910) Prec@1 64.062 (67.113) Prec@5 82.812 (86.793) /data/vision/torralba/deepscene/lib/anaconda2/lib/python2.7/site-packages/PIL/TiffImagePlugin.py:692: UserWarning: Possibly corrupt EXIF data. Expecting to read 1835008 bytes but only got 0. Skipping tag 0 "Skipping tag %s" % (size, len(data), tag)) Epoch: [66][30/10010] Time 0.312 (0.397) Data 0.001 (0.086) Loss 1.1535 (1.3946) Prec@1 75.781 (67.540) Prec@5 88.281 (86.568) Epoch: [66][40/10010] Time 0.316 (0.378) Data 0.001 (0.065) Loss 1.0575 (1.3888) Prec@1 77.344 (67.550) Prec@5 92.188 (86.681) Epoch: [66][50/10010] Time 0.313 (0.368) Data 0.001 (0.053) Loss 1.8600 (1.4013) Prec@1 57.031 (67.402) Prec@5 80.469 (86.657) Epoch: [66][60/10010] Time 0.319 (0.360) Data 0.001 (0.044) Loss 1.5584 (1.4067) Prec@1 64.844 (67.341) Prec@5 85.156 (86.527) Epoch: [66][70/10010] Time 0.320 (0.354) Data 0.001 (0.038) Loss 1.3210 (1.4013) Prec@1 68.750 (67.375) Prec@5 88.281 (86.598) Epoch: [66][80/10010] Time 0.332 (0.350) Data 0.001 (0.033) Loss 1.1721 (1.4041) Prec@1 70.312 (67.361) Prec@5 89.062 (86.545) Epoch: [66][90/10010] Time 0.338 (0.348) Data 0.001 (0.030) Loss 1.4246 (1.4098) Prec@1 67.969 (67.291) Prec@5 84.375 (86.401) Epoch: [66][100/10010] Time 0.316 (0.346) Data 0.001 (0.027) Loss 1.3320 (1.4104) Prec@1 68.750 (67.288) Prec@5 83.594 (86.347) Epoch: [66][110/10010] Time 0.338 (0.344) Data 0.000 (0.024) Loss 1.6221 (1.4167) Prec@1 64.844 (67.209) Prec@5 83.594 (86.282) Epoch: [66][120/10010] Time 0.332 (0.343) Data 0.001 (0.022) Loss 1.5557 (1.4190) Prec@1 60.156 (67.239) Prec@5 83.594 (86.241) Epoch: [66][130/10010] Time 0.332 (0.341) Data 0.001 (0.021) Loss 1.2125 (1.4166) Prec@1 66.406 (67.229) Prec@5 92.188 (86.254) Epoch: [66][140/10010] Time 0.317 (0.340) Data 0.001 (0.019) Loss 1.3497 (1.4135) Prec@1 67.969 (67.237) Prec@5 88.281 (86.292) Epoch: [66][150/10010] Time 0.341 (0.339) Data 0.001 (0.018) Loss 1.2686 (1.4133) Prec@1 67.188 (67.208) Prec@5 89.062 (86.320) Epoch: [66][160/10010] Time 0.339 (0.338) Data 0.000 (0.017) Loss 1.4782 (1.4140) Prec@1 70.312 (67.260) Prec@5 87.500 (86.340) Epoch: [66][170/10010] Time 0.327 (0.337) Data 0.001 (0.016) Loss 1.6147 (1.4171) Prec@1 63.281 (67.165) Prec@5 80.469 (86.317) Epoch: [66][180/10010] Time 0.332 (0.337) Data 0.001 (0.015) Loss 1.5872 (1.4188) Prec@1 61.719 (67.183) Prec@5 85.156 (86.253) Epoch: [66][190/10010] Time 0.334 (0.337) Data 0.001 (0.014) Loss 1.7614 (1.4187) Prec@1 63.281 (67.208) Prec@5 81.250 (86.244) Epoch: [66][200/10010] Time 0.326 (0.336) Data 0.000 (0.014) Loss 1.6800 (1.4145) Prec@1 59.375 (67.281) Prec@5 81.250 (86.322) Epoch: [66][210/10010] Time 0.325 (0.336) Data 0.001 (0.013) Loss 1.4173 (1.4121) Prec@1 66.406 (67.284) Prec@5 85.938 (86.348) Epoch: [66][220/10010] Time 0.330 (0.335) Data 0.001 (0.013) Loss 1.4067 (1.4101) Prec@1 71.875 (67.354) Prec@5 86.719 (86.379) Epoch: [66][230/10010] Time 0.319 (0.335) Data 0.000 (0.012) Loss 1.3982 (1.4098) Prec@1 66.406 (67.363) Prec@5 82.031 (86.374) Epoch: [66][240/10010] Time 0.313 (0.334) Data 0.001 (0.012) Loss 1.7808 (1.4118) Prec@1 64.062 (67.294) Prec@5 81.250 (86.365) Epoch: [66][250/10010] Time 0.317 (0.334) Data 0.001 (0.011) Loss 1.7224 (1.4116) Prec@1 60.156 (67.247) Prec@5 79.688 (86.342) Epoch: [66][260/10010] Time 0.328 (0.334) Data 0.000 (0.011) Loss 1.2251 (1.4139) Prec@1 71.094 (67.190) Prec@5 88.281 (86.303) Epoch: [66][270/10010] Time 0.332 (0.333) Data 0.001 (0.010) Loss 1.3984 (1.4153) Prec@1 67.969 (67.164) Prec@5 85.156 (86.243) Epoch: [66][280/10010] Time 0.316 (0.333) Data 0.001 (0.010) Loss 1.1636 (1.4139) Prec@1 75.781 (67.235) Prec@5 87.500 (86.218) Epoch: [66][290/10010] Time 0.322 (0.333) Data 0.001 (0.010) Loss 1.2477 (1.4134) Prec@1 67.188 (67.233) Prec@5 91.406 (86.244) Epoch: [66][300/10010] Time 0.330 (0.333) Data 0.001 (0.009) Loss 1.0818 (1.4146) Prec@1 71.875 (67.203) Prec@5 89.844 (86.223) Epoch: [66][310/10010] Time 0.328 (0.332) Data 0.001 (0.009) Loss 1.4688 (1.4120) Prec@1 64.844 (67.228) Prec@5 85.156 (86.252) Epoch: [66][320/10010] Time 0.331 (0.332) Data 0.001 (0.009) Loss 1.5852 (1.4138) Prec@1 69.531 (67.229) Prec@5 81.250 (86.208) Epoch: [66][330/10010] Time 0.340 (0.332) Data 0.000 (0.009) Loss 1.4940 (1.4139) Prec@1 64.844 (67.228) Prec@5 84.375 (86.225) Epoch: [66][340/10010] Time 0.317 (0.332) Data 0.001 (0.008) Loss 1.3941 (1.4147) Prec@1 65.625 (67.208) Prec@5 87.500 (86.219) Epoch: [66][350/10010] Time 0.327 (0.331) Data 0.001 (0.008) Loss 1.4125 (1.4164) Prec@1 67.969 (67.154) Prec@5 85.938 (86.205) Epoch: [66][360/10010] Time 0.328 (0.331) Data 0.001 (0.008) Loss 1.6493 (1.4171) Prec@1 59.375 (67.064) Prec@5 81.250 (86.225) Epoch: [66][370/10010] Time 0.320 (0.331) Data 0.000 (0.008) Loss 1.2845 (1.4149) Prec@1 71.094 (67.133) Prec@5 85.156 (86.268) Epoch: [66][380/10010] Time 0.339 (0.331) Data 0.000 (0.008) Loss 1.3391 (1.4151) Prec@1 71.875 (67.171) Prec@5 89.062 (86.280) Epoch: [66][390/10010] Time 0.335 (0.331) Data 0.001 (0.007) Loss 1.2463 (1.4139) Prec@1 70.312 (67.219) Prec@5 89.844 (86.325) Epoch: [66][400/10010] Time 0.318 (0.331) Data 0.000 (0.007) Loss 1.5650 (1.4160) Prec@1 67.188 (67.193) Prec@5 84.375 (86.288) Epoch: [66][410/10010] Time 0.319 (0.331) Data 0.001 (0.007) Loss 1.7725 (1.4145) Prec@1 60.156 (67.220) Prec@5 83.594 (86.299) Epoch: [66][420/10010] Time 0.318 (0.331) Data 0.001 (0.007) Loss 1.6981 (1.4133) Prec@1 67.969 (67.264) Prec@5 82.812 (86.336) Epoch: [66][430/10010] Time 0.320 (0.330) Data 0.001 (0.007) Loss 1.4091 (1.4133) Prec@1 71.875 (67.258) Prec@5 89.062 (86.354) Epoch: [66][440/10010] Time 0.322 (0.330) Data 0.001 (0.007) Loss 1.5818 (1.4145) Prec@1 69.531 (67.280) Prec@5 82.812 (86.350) Epoch: [66][450/10010] Time 0.321 (0.330) Data 0.001 (0.007) Loss 1.7029 (1.4133) Prec@1 62.500 (67.283) Prec@5 80.469 (86.393) Epoch: [66][460/10010] Time 0.326 (0.330) Data 0.000 (0.006) Loss 1.3994 (1.4145) Prec@1 69.531 (67.289) Prec@5 86.719 (86.354) Epoch: [66][470/10010] Time 0.332 (0.330) Data 0.001 (0.006) Loss 1.5072 (1.4139) Prec@1 64.844 (67.289) Prec@5 87.500 (86.354) Epoch: [66][480/10010] Time 0.313 (0.330) Data 0.001 (0.006) Loss 1.4821 (1.4118) Prec@1 64.062 (67.334) Prec@5 85.156 (86.399) Epoch: [66][490/10010] Time 0.333 (0.330) Data 0.001 (0.006) Loss 1.2395 (1.4102) Prec@1 71.875 (67.351) Prec@5 87.500 (86.413) Epoch: [66][500/10010] Time 0.321 (0.330) Data 0.001 (0.006) Loss 1.8615 (1.4107) Prec@1 57.812 (67.367) Prec@5 81.250 (86.413) Epoch: [66][510/10010] Time 0.338 (0.330) Data 0.001 (0.006) Loss 1.7276 (1.4119) Prec@1 59.375 (67.304) Prec@5 81.250 (86.396) Epoch: [66][520/10010] Time 0.331 (0.330) Data 0.001 (0.006) Loss 1.3616 (1.4126) Prec@1 67.188 (67.324) Prec@5 86.719 (86.386) Epoch: [66][530/10010] Time 0.314 (0.330) Data 0.001 (0.006) Loss 1.4010 (1.4134) Prec@1 66.406 (67.295) Prec@5 85.938 (86.385) Epoch: [66][540/10010] Time 0.316 (0.329) Data 0.001 (0.006) Loss 1.1676 (1.4119) Prec@1 70.312 (67.306) Prec@5 90.625 (86.401) Epoch: [66][550/10010] Time 0.332 (0.329) Data 0.001 (0.005) Loss 1.4501 (1.4123) Prec@1 66.406 (67.309) Prec@5 87.500 (86.398) Epoch: [66][560/10010] Time 0.327 (0.329) Data 0.000 (0.005) Loss 1.6668 (1.4138) Prec@1 63.281 (67.293) Prec@5 78.125 (86.378) Epoch: [66][570/10010] Time 0.332 (0.329) Data 0.001 (0.005) Loss 1.4703 (1.4146) Prec@1 66.406 (67.275) Prec@5 88.281 (86.381) Epoch: [66][580/10010] Time 0.333 (0.329) Data 0.000 (0.005) Loss 1.2732 (1.4145) Prec@1 70.312 (67.270) Prec@5 86.719 (86.364) Epoch: [66][590/10010] Time 0.314 (0.329) Data 0.001 (0.005) Loss 1.7482 (1.4141) Prec@1 57.812 (67.267) Prec@5 78.906 (86.363) Epoch: [66][600/10010] Time 0.311 (0.329) Data 0.001 (0.005) Loss 1.4645 (1.4152) Prec@1 69.531 (67.256) Prec@5 85.938 (86.347) Epoch: [66][610/10010] Time 0.335 (0.329) Data 0.001 (0.005) Loss 1.0452 (1.4137) Prec@1 81.250 (67.308) Prec@5 91.406 (86.385) Epoch: [66][620/10010] Time 0.315 (0.329) Data 0.000 (0.005) Loss 1.2406 (1.4107) Prec@1 70.312 (67.352) Prec@5 89.062 (86.436) Epoch: [66][630/10010] Time 0.333 (0.329) Data 0.001 (0.005) Loss 1.5481 (1.4106) Prec@1 67.969 (67.368) Prec@5 81.250 (86.435) Epoch: [66][640/10010] Time 0.320 (0.329) Data 0.001 (0.005) Loss 1.2957 (1.4101) Prec@1 71.875 (67.385) Prec@5 87.500 (86.426) Epoch: [66][650/10010] Time 0.334 (0.329) Data 0.001 (0.005) Loss 1.1775 (1.4108) Prec@1 75.781 (67.383) Prec@5 89.062 (86.410) Epoch: [66][660/10010] Time 0.309 (0.329) Data 0.001 (0.005) Loss 1.4727 (1.4110) Prec@1 66.406 (67.368) Prec@5 85.156 (86.411) Epoch: [66][670/10010] Time 0.319 (0.329) Data 0.001 (0.005) Loss 1.3117 (1.4106) Prec@1 72.656 (67.373) Prec@5 83.594 (86.408) Epoch: [66][680/10010] Time 0.335 (0.329) Data 0.001 (0.005) Loss 1.4078 (1.4098) Prec@1 67.969 (67.399) Prec@5 88.281 (86.422) Epoch: [66][690/10010] Time 0.339 (0.329) Data 0.001 (0.004) Loss 1.6298 (1.4110) Prec@1 64.844 (67.374) Prec@5 83.594 (86.399) Epoch: [66][700/10010] Time 0.318 (0.329) Data 0.001 (0.004) Loss 1.3739 (1.4107) Prec@1 69.531 (67.408) Prec@5 88.281 (86.403) Epoch: [66][710/10010] Time 0.336 (0.329) Data 0.001 (0.004) Loss 1.5216 (1.4123) Prec@1 67.188 (67.398) Prec@5 85.938 (86.377) Epoch: [66][720/10010] Time 0.308 (0.329) Data 0.000 (0.004) Loss 1.5419 (1.4122) Prec@1 60.156 (67.401) Prec@5 89.062 (86.377) Epoch: [66][730/10010] Time 0.321 (0.329) Data 0.000 (0.004) Loss 1.3420 (1.4130) Prec@1 67.969 (67.399) Prec@5 86.719 (86.369) Epoch: [66][740/10010] Time 0.316 (0.329) Data 0.001 (0.004) Loss 1.4119 (1.4128) Prec@1 67.969 (67.410) Prec@5 85.156 (86.364) Epoch: [66][750/10010] Time 0.314 (0.329) Data 0.001 (0.004) Loss 1.1880 (1.4120) Prec@1 75.781 (67.428) Prec@5 89.844 (86.379) Epoch: [66][760/10010] Time 0.341 (0.329) Data 0.001 (0.004) Loss 1.1478 (1.4120) Prec@1 71.094 (67.429) Prec@5 90.625 (86.373) Epoch: [66][770/10010] Time 0.332 (0.329) Data 0.001 (0.004) Loss 1.3988 (1.4118) Prec@1 67.188 (67.430) Prec@5 89.062 (86.377) Epoch: [66][780/10010] Time 0.328 (0.329) Data 0.001 (0.004) Loss 1.2553 (1.4109) Prec@1 70.312 (67.449) Prec@5 89.062 (86.384) Epoch: [66][790/10010] Time 0.329 (0.329) Data 0.001 (0.004) Loss 1.5348 (1.4109) Prec@1 64.062 (67.456) Prec@5 86.719 (86.383) Epoch: [66][800/10010] Time 0.344 (0.329) Data 0.000 (0.004) Loss 1.3642 (1.4108) Prec@1 63.281 (67.445) Prec@5 85.938 (86.386) Epoch: [66][810/10010] Time 0.332 (0.329) Data 0.000 (0.004) Loss 1.5852 (1.4119) Prec@1 64.844 (67.425) Prec@5 81.250 (86.363) Epoch: [66][820/10010] Time 0.313 (0.329) Data 0.001 (0.004) Loss 1.6676 (1.4126) Prec@1 62.500 (67.411) Prec@5 80.469 (86.360) Epoch: [66][830/10010] Time 0.321 (0.328) Data 0.001 (0.004) Loss 1.3819 (1.4128) Prec@1 66.406 (67.397) Prec@5 86.719 (86.354) Epoch: [66][840/10010] Time 0.323 (0.328) Data 0.001 (0.004) Loss 1.3036 (1.4132) Prec@1 70.312 (67.379) Prec@5 89.062 (86.349) Epoch: [66][850/10010] Time 0.328 (0.328) Data 0.001 (0.004) Loss 1.6406 (1.4140) Prec@1 59.375 (67.361) Prec@5 86.719 (86.344) Epoch: [66][860/10010] Time 0.329 (0.328) Data 0.000 (0.004) Loss 1.3952 (1.4136) Prec@1 65.625 (67.353) Prec@5 86.719 (86.340) Epoch: [66][870/10010] Time 0.341 (0.328) Data 0.001 (0.004) Loss 1.2903 (1.4136) Prec@1 71.875 (67.370) Prec@5 86.719 (86.344) Epoch: [66][880/10010] Time 0.337 (0.328) Data 0.001 (0.004) Loss 1.4219 (1.4139) Prec@1 66.406 (67.360) Prec@5 82.812 (86.328) Epoch: [66][890/10010] Time 0.330 (0.328) Data 0.001 (0.004) Loss 1.5028 (1.4139) Prec@1 68.750 (67.373) Prec@5 83.594 (86.315) Epoch: [66][900/10010] Time 0.326 (0.328) Data 0.001 (0.004) Loss 1.3506 (1.4143) Prec@1 67.969 (67.378) Prec@5 86.719 (86.306) Epoch: [66][910/10010] Time 0.313 (0.328) Data 0.001 (0.004) Loss 1.2846 (1.4136) Prec@1 71.094 (67.400) Prec@5 85.156 (86.317) Epoch: [66][920/10010] Time 0.317 (0.328) Data 0.001 (0.004) Loss 1.2641 (1.4138) Prec@1 71.875 (67.404) Prec@5 88.281 (86.306) Epoch: [66][930/10010] Time 0.324 (0.328) Data 0.000 (0.003) Loss 1.5569 (1.4143) Prec@1 65.625 (67.387) Prec@5 82.031 (86.297) Epoch: [66][940/10010] Time 0.318 (0.328) Data 0.001 (0.003) Loss 1.6111 (1.4139) Prec@1 60.938 (67.402) Prec@5 82.812 (86.297) Epoch: [66][950/10010] Time 0.332 (0.328) Data 0.001 (0.003) Loss 1.2692 (1.4143) Prec@1 71.875 (67.390) Prec@5 88.281 (86.287) Epoch: [66][960/10010] Time 0.336 (0.328) Data 0.000 (0.003) Loss 1.3389 (1.4146) Prec@1 69.531 (67.383) Prec@5 85.156 (86.279) Epoch: [66][970/10010] Time 0.319 (0.328) Data 0.001 (0.003) Loss 1.3251 (1.4145) Prec@1 68.750 (67.387) Prec@5 87.500 (86.289) Epoch: [66][980/10010] Time 0.322 (0.328) Data 0.001 (0.003) Loss 1.5787 (1.4142) Prec@1 60.156 (67.385) Prec@5 84.375 (86.300) Epoch: [66][990/10010] Time 0.330 (0.328) Data 0.001 (0.003) Loss 1.6052 (1.4143) Prec@1 62.500 (67.381) Prec@5 82.812 (86.299) Epoch: [66][1000/10010] Time 0.323 (0.328) Data 0.001 (0.003) Loss 1.5550 (1.4139) Prec@1 61.719 (67.387) Prec@5 86.719 (86.306) Epoch: [66][1010/10010] Time 0.323 (0.328) Data 0.000 (0.003) Loss 1.4991 (1.4143) Prec@1 67.969 (67.389) Prec@5 84.375 (86.298) Epoch: [66][1020/10010] Time 0.320 (0.328) Data 0.001 (0.003) Loss 1.3117 (1.4137) Prec@1 67.188 (67.407) Prec@5 86.719 (86.305) Epoch: [66][1030/10010] Time 0.317 (0.328) Data 0.000 (0.003) Loss 1.2680 (1.4127) Prec@1 73.438 (67.417) Prec@5 85.938 (86.317) Epoch: [66][1040/10010] Time 0.320 (0.328) Data 0.000 (0.003) Loss 1.5124 (1.4126) Prec@1 67.969 (67.408) Prec@5 84.375 (86.318) Epoch: [66][1050/10010] Time 0.335 (0.328) Data 0.001 (0.003) Loss 1.1419 (1.4128) Prec@1 71.875 (67.402) Prec@5 87.500 (86.312) Epoch: [66][1060/10010] Time 0.323 (0.328) Data 0.001 (0.003) Loss 1.2206 (1.4120) Prec@1 71.094 (67.415) Prec@5 86.719 (86.318) Epoch: [66][1070/10010] Time 0.319 (0.328) Data 0.000 (0.003) Loss 1.4019 (1.4114) Prec@1 64.844 (67.423) Prec@5 85.938 (86.330) Epoch: [66][1080/10010] Time 0.336 (0.328) Data 0.001 (0.003) Loss 1.3934 (1.4113) Prec@1 65.625 (67.428) Prec@5 86.719 (86.327) Epoch: [66][1090/10010] Time 0.323 (0.328) Data 0.001 (0.003) Loss 1.4649 (1.4113) Prec@1 66.406 (67.432) Prec@5 89.062 (86.339) Epoch: [66][1100/10010] Time 0.329 (0.328) Data 0.003 (0.003) Loss 1.2713 (1.4112) Prec@1 64.844 (67.424) Prec@5 87.500 (86.340) Epoch: [66][1110/10010] Time 0.337 (0.328) Data 0.001 (0.003) Loss 1.3625 (1.4114) Prec@1 71.094 (67.417) Prec@5 85.156 (86.344) Epoch: [66][1120/10010] Time 0.325 (0.328) Data 0.002 (0.003) Loss 1.3531 (1.4121) Prec@1 65.625 (67.404) Prec@5 89.844 (86.328) Epoch: [66][1130/10010] Time 0.326 (0.328) Data 0.001 (0.003) Loss 1.2984 (1.4119) Prec@1 70.312 (67.413) Prec@5 87.500 (86.334) /data/vision/torralba/deepscene/lib/anaconda2/lib/python2.7/site-packages/PIL/TiffImagePlugin.py:709: UserWarning: Corrupt EXIF data. Expecting to read 4 bytes but only got 0. warnings.warn(str(msg)) Epoch: [66][1140/10010] Time 0.336 (0.328) Data 0.001 (0.003) Loss 1.5438 (1.4114) Prec@1 68.750 (67.424) Prec@5 85.156 (86.346) Epoch: [66][1150/10010] Time 0.325 (0.328) Data 0.001 (0.003) Loss 1.4687 (1.4117) Prec@1 67.188 (67.422) Prec@5 82.812 (86.330) Epoch: [66][1160/10010] Time 0.319 (0.328) Data 0.001 (0.003) Loss 1.5939 (1.4119) Prec@1 71.875 (67.416) Prec@5 82.031 (86.322) Epoch: [66][1170/10010] Time 0.341 (0.328) Data 0.001 (0.003) Loss 1.4106 (1.4122) Prec@1 64.844 (67.411) Prec@5 84.375 (86.312) Epoch: [66][1180/10010] Time 0.317 (0.328) Data 0.000 (0.003) Loss 1.3193 (1.4123) Prec@1 64.844 (67.407) Prec@5 90.625 (86.309) Epoch: [66][1190/10010] Time 0.339 (0.328) Data 0.009 (0.003) Loss 1.3396 (1.4120) Prec@1 68.750 (67.424) Prec@5 85.156 (86.313) Epoch: [66][1200/10010] Time 0.339 (0.328) Data 0.000 (0.003) Loss 1.3077 (1.4122) Prec@1 68.750 (67.435) Prec@5 89.062 (86.311) Epoch: [66][1210/10010] Time 0.334 (0.328) Data 0.000 (0.003) Loss 1.3659 (1.4120) Prec@1 70.312 (67.436) Prec@5 86.719 (86.312) Epoch: [66][1220/10010] Time 0.337 (0.328) Data 0.001 (0.003) Loss 1.3880 (1.4116) Prec@1 67.969 (67.431) Prec@5 86.719 (86.317) Epoch: [66][1230/10010] Time 0.317 (0.328) Data 0.001 (0.003) Loss 1.4340 (1.4116) Prec@1 67.188 (67.441) Prec@5 86.719 (86.324) Epoch: [66][1240/10010] Time 0.334 (0.328) Data 0.000 (0.003) Loss 1.2583 (1.4115) Prec@1 71.875 (67.447) Prec@5 87.500 (86.324) Epoch: [66][1250/10010] Time 0.322 (0.328) Data 0.001 (0.003) Loss 1.5331 (1.4117) Prec@1 64.062 (67.439) Prec@5 83.594 (86.325) Epoch: [66][1260/10010] Time 0.327 (0.328) Data 0.000 (0.003) Loss 1.3047 (1.4109) Prec@1 71.094 (67.450) Prec@5 90.625 (86.338) Epoch: [66][1270/10010] Time 0.321 (0.328) Data 0.001 (0.003) Loss 1.4631 (1.4107) Prec@1 64.844 (67.451) Prec@5 85.938 (86.345) Epoch: [66][1280/10010] Time 0.320 (0.328) Data 0.001 (0.003) Loss 1.3347 (1.4112) Prec@1 68.750 (67.449) Prec@5 87.500 (86.335) Epoch: [66][1290/10010] Time 0.332 (0.328) Data 0.001 (0.003) Loss 1.3980 (1.4108) Prec@1 67.969 (67.448) Prec@5 88.281 (86.346) Epoch: [66][1300/10010] Time 0.312 (0.328) Data 0.001 (0.003) Loss 1.4336 (1.4117) Prec@1 68.750 (67.433) Prec@5 86.719 (86.329) Epoch: [66][1310/10010] Time 0.318 (0.327) Data 0.001 (0.003) Loss 1.0880 (1.4115) Prec@1 71.875 (67.437) Prec@5 90.625 (86.332) Epoch: [66][1320/10010] Time 0.320 (0.327) Data 0.001 (0.003) Loss 1.5675 (1.4112) Prec@1 60.938 (67.449) Prec@5 85.156 (86.338) Epoch: [66][1330/10010] Time 0.316 (0.327) Data 0.001 (0.003) Loss 1.5774 (1.4111) Prec@1 64.844 (67.451) Prec@5 81.250 (86.335) Epoch: [66][1340/10010] Time 0.329 (0.327) Data 0.000 (0.003) Loss 1.6328 (1.4108) Prec@1 63.281 (67.458) Prec@5 83.594 (86.328) Epoch: [66][1350/10010] Time 0.310 (0.327) Data 0.000 (0.003) Loss 1.3484 (1.4105) Prec@1 69.531 (67.473) Prec@5 88.281 (86.329) Epoch: [66][1360/10010] Time 0.316 (0.327) Data 0.001 (0.003) Loss 1.5436 (1.4106) Prec@1 67.969 (67.470) Prec@5 85.156 (86.326) Epoch: [66][1370/10010] Time 0.336 (0.327) Data 0.000 (0.003) Loss 1.1800 (1.4102) Prec@1 72.656 (67.489) Prec@5 89.844 (86.334) Epoch: [66][1380/10010] Time 0.329 (0.327) Data 0.001 (0.003) Loss 1.4392 (1.4099) Prec@1 69.531 (67.505) Prec@5 88.281 (86.340) Epoch: [66][1390/10010] Time 0.345 (0.327) Data 0.001 (0.003) Loss 1.4991 (1.4099) Prec@1 65.625 (67.508) Prec@5 82.812 (86.340) Epoch: [66][1400/10010] Time 0.340 (0.327) Data 0.000 (0.003) Loss 1.5816 (1.4098) Prec@1 67.188 (67.509) Prec@5 85.156 (86.343) Epoch: [66][1410/10010] Time 0.329 (0.327) Data 0.001 (0.003) Loss 1.8195 (1.4101) Prec@1 57.812 (67.504) Prec@5 81.250 (86.340) Epoch: [66][1420/10010] Time 0.334 (0.327) Data 0.001 (0.003) Loss 1.6775 (1.4097) Prec@1 67.188 (67.507) Prec@5 85.938 (86.351) Epoch: [66][1430/10010] Time 0.328 (0.328) Data 0.001 (0.003) Loss 1.4135 (1.4095) Prec@1 65.625 (67.506) Prec@5 87.500 (86.359) Epoch: [66][1440/10010] Time 0.337 (0.328) Data 0.001 (0.003) Loss 1.4848 (1.4094) Prec@1 66.406 (67.514) Prec@5 85.156 (86.357) Epoch: [66][1450/10010] Time 0.342 (0.328) Data 0.000 (0.002) Loss 1.4106 (1.4098) Prec@1 65.625 (67.503) Prec@5 82.031 (86.340) Epoch: [66][1460/10010] Time 0.313 (0.328) Data 0.001 (0.002) Loss 1.5259 (1.4101) Prec@1 62.500 (67.508) Prec@5 83.594 (86.334) /data/vision/torralba/deepscene/lib/anaconda2/lib/python2.7/site-packages/PIL/TiffImagePlugin.py:692: UserWarning: Possibly corrupt EXIF data. Expecting to read 2555904 bytes but only got 0. Skipping tag 0 "Skipping tag %s" % (size, len(data), tag)) Epoch: [66][1470/10010] Time 0.328 (0.328) Data 0.001 (0.002) Loss 1.5279 (1.4104) Prec@1 61.719 (67.503) Prec@5 82.031 (86.333) Epoch: [66][1480/10010] Time 0.334 (0.328) Data 0.001 (0.002) Loss 1.5559 (1.4110) Prec@1 65.625 (67.486) Prec@5 82.812 (86.324) Epoch: [66][1490/10010] Time 0.318 (0.328) Data 0.001 (0.002) Loss 1.2799 (1.4110) Prec@1 68.750 (67.490) Prec@5 87.500 (86.319) Epoch: [66][1500/10010] Time 0.328 (0.328) Data 0.000 (0.002) Loss 1.4306 (1.4111) Prec@1 64.062 (67.478) Prec@5 84.375 (86.315) Epoch: [66][1510/10010] Time 0.324 (0.328) Data 0.001 (0.002) Loss 1.6300 (1.4110) Prec@1 65.625 (67.493) Prec@5 82.031 (86.316) Epoch: [66][1520/10010] Time 0.340 (0.328) Data 0.000 (0.002) Loss 1.6907 (1.4113) Prec@1 66.406 (67.491) Prec@5 80.469 (86.312) Epoch: [66][1530/10010] Time 0.329 (0.328) Data 0.001 (0.002) Loss 1.7752 (1.4115) Prec@1 61.719 (67.480) Prec@5 78.125 (86.307) Epoch: [66][1540/10010] Time 0.332 (0.328) Data 0.001 (0.002) Loss 1.2379 (1.4112) Prec@1 72.656 (67.483) Prec@5 91.406 (86.317) Epoch: [66][1550/10010] Time 0.323 (0.328) Data 0.001 (0.002) Loss 1.1804 (1.4112) Prec@1 70.312 (67.478) Prec@5 88.281 (86.317) Epoch: [66][1560/10010] Time 0.340 (0.328) Data 0.001 (0.002) Loss 1.6367 (1.4107) Prec@1 62.500 (67.478) Prec@5 82.812 (86.327) Epoch: [66][1570/10010] Time 0.332 (0.328) Data 0.001 (0.002) Loss 1.4118 (1.4109) Prec@1 67.188 (67.479) Prec@5 85.156 (86.316) Epoch: [66][1580/10010] Time 0.312 (0.328) Data 0.000 (0.002) Loss 1.4894 (1.4115) Prec@1 60.938 (67.459) Prec@5 86.719 (86.307) Epoch: [66][1590/10010] Time 0.338 (0.328) Data 0.001 (0.002) Loss 1.4860 (1.4115) Prec@1 67.969 (67.463) Prec@5 83.594 (86.303) Epoch: [66][1600/10010] Time 0.341 (0.328) Data 0.000 (0.002) Loss 1.3726 (1.4112) Prec@1 70.312 (67.471) Prec@5 87.500 (86.307) Epoch: [66][1610/10010] Time 0.330 (0.328) Data 0.001 (0.002) Loss 1.0213 (1.4111) Prec@1 73.438 (67.469) Prec@5 91.406 (86.312) Epoch: [66][1620/10010] Time 0.315 (0.328) Data 0.001 (0.002) Loss 1.3188 (1.4107) Prec@1 68.750 (67.477) Prec@5 85.938 (86.311) Epoch: [66][1630/10010] Time 0.328 (0.328) Data 0.001 (0.002) Loss 1.3818 (1.4105) Prec@1 70.312 (67.483) Prec@5 85.938 (86.312) Epoch: [66][1640/10010] Time 0.341 (0.328) Data 0.000 (0.002) Loss 1.3146 (1.4103) Prec@1 67.969 (67.490) Prec@5 89.062 (86.316) Epoch: [66][1650/10010] Time 0.324 (0.328) Data 0.001 (0.002) Loss 1.3468 (1.4099) Prec@1 64.844 (67.491) Prec@5 89.062 (86.323) Epoch: [66][1660/10010] Time 0.330 (0.328) Data 0.001 (0.002) Loss 1.5326 (1.4099) Prec@1 67.969 (67.487) Prec@5 83.594 (86.326) Epoch: [66][1670/10010] Time 0.335 (0.328) Data 0.001 (0.002) Loss 1.3836 (1.4097) Prec@1 65.625 (67.497) Prec@5 86.719 (86.330) Epoch: [66][1680/10010] Time 0.320 (0.328) Data 0.001 (0.002) Loss 1.2715 (1.4096) Prec@1 71.094 (67.503) Prec@5 89.844 (86.329) Epoch: [66][1690/10010] Time 0.324 (0.328) Data 0.001 (0.002) Loss 0.9059 (1.4090) Prec@1 75.000 (67.510) Prec@5 92.969 (86.345) Epoch: [66][1700/10010] Time 0.321 (0.328) Data 0.001 (0.002) Loss 1.4818 (1.4095) Prec@1 66.406 (67.496) Prec@5 85.156 (86.334) Epoch: [66][1710/10010] Time 0.335 (0.328) Data 0.001 (0.002) Loss 1.1658 (1.4098) Prec@1 75.000 (67.491) Prec@5 87.500 (86.328) Epoch: [66][1720/10010] Time 0.310 (0.328) Data 0.001 (0.002) Loss 1.4879 (1.4100) Prec@1 67.969 (67.489) Prec@5 82.812 (86.319) Epoch: [66][1730/10010] Time 0.335 (0.328) Data 0.000 (0.002) Loss 1.3538 (1.4096) Prec@1 67.188 (67.499) Prec@5 85.938 (86.325) Epoch: [66][1740/10010] Time 0.336 (0.328) Data 0.001 (0.002) Loss 1.4093 (1.4100) Prec@1 64.844 (67.488) Prec@5 88.281 (86.321) Epoch: [66][1750/10010] Time 0.323 (0.328) Data 0.001 (0.002) Loss 1.5153 (1.4101) Prec@1 63.281 (67.487) Prec@5 85.938 (86.319) Epoch: [66][1760/10010] Time 0.317 (0.328) Data 0.001 (0.002) Loss 1.1540 (1.4098) Prec@1 75.000 (67.491) Prec@5 88.281 (86.321) Epoch: [66][1770/10010] Time 0.318 (0.328) Data 0.001 (0.002) Loss 1.2399 (1.4099) Prec@1 67.969 (67.486) Prec@5 89.062 (86.323) Epoch: [66][1780/10010] Time 0.338 (0.328) Data 0.001 (0.002) Loss 1.5351 (1.4097) Prec@1 66.406 (67.487) Prec@5 84.375 (86.320) Epoch: [66][1790/10010] Time 0.336 (0.328) Data 0.001 (0.002) Loss 1.6617 (1.4098) Prec@1 65.625 (67.491) Prec@5 81.250 (86.320) Epoch: [66][1800/10010] Time 0.320 (0.328) Data 0.001 (0.002) Loss 1.4250 (1.4093) Prec@1 63.281 (67.497) Prec@5 86.719 (86.321) Epoch: [66][1810/10010] Time 0.325 (0.328) Data 0.001 (0.002) Loss 1.2178 (1.4097) Prec@1 65.625 (67.486) Prec@5 91.406 (86.317) Epoch: [66][1820/10010] Time 0.313 (0.328) Data 0.000 (0.002) Loss 1.2435 (1.4095) Prec@1 72.656 (67.486) Prec@5 90.625 (86.320) Epoch: [66][1830/10010] Time 0.329 (0.328) Data 0.001 (0.002) Loss 1.4743 (1.4093) Prec@1 64.844 (67.490) Prec@5 85.938 (86.319) Epoch: [66][1840/10010] Time 0.318 (0.328) Data 0.000 (0.002) Loss 1.6451 (1.4095) Prec@1 62.500 (67.483) Prec@5 83.594 (86.317) Epoch: [66][1850/10010] Time 0.316 (0.328) Data 0.001 (0.002) Loss 1.5346 (1.4096) Prec@1 69.531 (67.478) Prec@5 84.375 (86.316) Epoch: [66][1860/10010] Time 0.341 (0.327) Data 0.001 (0.002) Loss 0.7683 (1.4092) Prec@1 80.469 (67.485) Prec@5 96.875 (86.322) Epoch: [66][1870/10010] Time 0.338 (0.327) Data 0.001 (0.002) Loss 1.2072 (1.4091) Prec@1 65.625 (67.489) Prec@5 95.312 (86.324) Epoch: [66][1880/10010] Time 0.326 (0.328) Data 0.001 (0.002) Loss 1.4526 (1.4087) Prec@1 66.406 (67.491) Prec@5 82.812 (86.324) Epoch: [66][1890/10010] Time 0.327 (0.328) Data 0.001 (0.002) Loss 1.1490 (1.4091) Prec@1 69.531 (67.479) Prec@5 89.844 (86.315) Epoch: [66][1900/10010] Time 0.338 (0.327) Data 0.001 (0.002) Loss 1.2223 (1.4093) Prec@1 68.750 (67.475) Prec@5 88.281 (86.315) Epoch: [66][1910/10010] Time 0.322 (0.327) Data 0.001 (0.002) Loss 1.7474 (1.4100) Prec@1 58.594 (67.456) Prec@5 80.469 (86.301) Epoch: [66][1920/10010] Time 0.340 (0.327) Data 0.001 (0.002) Loss 1.3898 (1.4101) Prec@1 69.531 (67.456) Prec@5 85.156 (86.302) Epoch: [66][1930/10010] Time 0.336 (0.327) Data 0.001 (0.002) Loss 1.0957 (1.4097) Prec@1 76.562 (67.461) Prec@5 91.406 (86.299) Epoch: [66][1940/10010] Time 0.328 (0.327) Data 0.000 (0.002) Loss 1.4622 (1.4098) Prec@1 64.844 (67.454) Prec@5 85.156 (86.297) Epoch: [66][1950/10010] Time 0.341 (0.327) Data 0.000 (0.002) Loss 1.4817 (1.4097) Prec@1 62.500 (67.454) Prec@5 84.375 (86.299) Epoch: [66][1960/10010] Time 0.341 (0.327) Data 0.001 (0.002) Loss 1.3856 (1.4099) Prec@1 69.531 (67.450) Prec@5 87.500 (86.294) Epoch: [66][1970/10010] Time 0.317 (0.328) Data 0.001 (0.002) Loss 1.3580 (1.4096) Prec@1 69.531 (67.461) Prec@5 88.281 (86.297) Epoch: [66][1980/10010] Time 0.338 (0.328) Data 0.000 (0.002) Loss 1.2853 (1.4092) Prec@1 72.656 (67.468) Prec@5 87.500 (86.304) Epoch: [66][1990/10010] Time 0.340 (0.328) Data 0.000 (0.002) Loss 1.4389 (1.4096) Prec@1 64.844 (67.463) Prec@5 83.594 (86.297) Epoch: [66][2000/10010] Time 0.320 (0.328) Data 0.004 (0.002) Loss 1.4690 (1.4098) Prec@1 67.969 (67.450) Prec@5 86.719 (86.294) Epoch: [66][2010/10010] Time 0.338 (0.328) Data 0.001 (0.002) Loss 1.5315 (1.4098) Prec@1 67.969 (67.453) Prec@5 85.938 (86.293) Epoch: [66][2020/10010] Time 0.320 (0.328) Data 0.000 (0.002) Loss 1.3168 (1.4102) Prec@1 68.750 (67.447) Prec@5 86.719 (86.290) Epoch: [66][2030/10010] Time 0.339 (0.328) Data 0.001 (0.002) Loss 1.5007 (1.4102) Prec@1 64.844 (67.441) Prec@5 83.594 (86.294) Epoch: [66][2040/10010] Time 0.326 (0.328) Data 0.000 (0.002) Loss 1.4761 (1.4106) Prec@1 65.625 (67.435) Prec@5 86.719 (86.290) Epoch: [66][2050/10010] Time 0.342 (0.328) Data 0.000 (0.002) Loss 1.4068 (1.4103) Prec@1 69.531 (67.440) Prec@5 85.938 (86.293) Epoch: [66][2060/10010] Time 0.311 (0.328) Data 0.001 (0.002) Loss 1.3160 (1.4100) Prec@1 66.406 (67.448) Prec@5 90.625 (86.299) Epoch: [66][2070/10010] Time 0.339 (0.328) Data 0.001 (0.002) Loss 1.3139 (1.4100) Prec@1 71.094 (67.449) Prec@5 89.062 (86.299) Epoch: [66][2080/10010] Time 0.331 (0.328) Data 0.000 (0.002) Loss 1.1870 (1.4096) Prec@1 71.094 (67.459) Prec@5 89.062 (86.304) Epoch: [66][2090/10010] Time 0.314 (0.328) Data 0.001 (0.002) Loss 1.3743 (1.4096) Prec@1 68.750 (67.459) Prec@5 85.156 (86.301) Epoch: [66][2100/10010] Time 0.319 (0.328) Data 0.000 (0.002) Loss 1.2956 (1.4097) Prec@1 70.312 (67.461) Prec@5 85.156 (86.302) Epoch: [66][2110/10010] Time 0.319 (0.327) Data 0.001 (0.002) Loss 1.5993 (1.4100) Prec@1 66.406 (67.455) Prec@5 81.250 (86.298) Epoch: [66][2120/10010] Time 0.333 (0.328) Data 0.000 (0.002) Loss 1.5800 (1.4103) Prec@1 64.062 (67.456) Prec@5 82.812 (86.290) Epoch: [66][2130/10010] Time 0.338 (0.328) Data 0.000 (0.002) Loss 1.4060 (1.4102) Prec@1 69.531 (67.459) Prec@5 85.938 (86.293) Epoch: [66][2140/10010] Time 0.336 (0.328) Data 0.001 (0.002) Loss 1.4194 (1.4102) Prec@1 70.312 (67.460) Prec@5 86.719 (86.292) Epoch: [66][2150/10010] Time 0.322 (0.328) Data 0.001 (0.002) Loss 1.6955 (1.4103) Prec@1 60.938 (67.458) Prec@5 82.031 (86.293) Epoch: [66][2160/10010] Time 0.337 (0.328) Data 0.001 (0.002) Loss 1.2445 (1.4098) Prec@1 76.562 (67.469) Prec@5 89.844 (86.300) Epoch: [66][2170/10010] Time 0.322 (0.328) Data 0.001 (0.002) Loss 1.3452 (1.4101) Prec@1 69.531 (67.461) Prec@5 89.844 (86.291) Epoch: [66][2180/10010] Time 0.327 (0.328) Data 0.001 (0.002) Loss 1.1870 (1.4098) Prec@1 74.219 (67.470) Prec@5 87.500 (86.295) Epoch: [66][2190/10010] Time 0.337 (0.328) Data 0.000 (0.002) Loss 1.3138 (1.4097) Prec@1 72.656 (67.471) Prec@5 87.500 (86.294) Epoch: [66][2200/10010] Time 0.315 (0.328) Data 0.001 (0.002) Loss 1.2894 (1.4098) Prec@1 71.875 (67.475) Prec@5 89.062 (86.292) Epoch: [66][2210/10010] Time 0.320 (0.328) Data 0.000 (0.002) Loss 1.2736 (1.4096) Prec@1 68.750 (67.479) Prec@5 89.844 (86.297) Epoch: [66][2220/10010] Time 0.313 (0.328) Data 0.001 (0.002) Loss 1.1793 (1.4095) Prec@1 68.750 (67.476) Prec@5 87.500 (86.296) Epoch: [66][2230/10010] Time 0.315 (0.328) Data 0.001 (0.002) Loss 1.3456 (1.4091) Prec@1 71.094 (67.486) Prec@5 85.156 (86.299) Epoch: [66][2240/10010] Time 0.314 (0.327) Data 0.000 (0.002) Loss 1.2556 (1.4087) Prec@1 74.219 (67.493) Prec@5 85.938 (86.307) Epoch: [66][2250/10010] Time 0.317 (0.327) Data 0.000 (0.002) Loss 1.2790 (1.4085) Prec@1 63.281 (67.495) Prec@5 91.406 (86.309) Epoch: [66][2260/10010] Time 0.320 (0.327) Data 0.001 (0.002) Loss 1.5276 (1.4084) Prec@1 67.188 (67.502) Prec@5 82.812 (86.306) Epoch: [66][2270/10010] Time 0.321 (0.327) Data 0.000 (0.002) Loss 1.3716 (1.4084) Prec@1 64.844 (67.498) Prec@5 88.281 (86.304) Epoch: [66][2280/10010] Time 0.321 (0.327) Data 0.001 (0.002) Loss 1.5985 (1.4085) Prec@1 67.188 (67.497) Prec@5 82.812 (86.303) Epoch: [66][2290/10010] Time 0.315 (0.327) Data 0.001 (0.002) Loss 1.3021 (1.4080) Prec@1 67.188 (67.507) Prec@5 88.281 (86.312) Epoch: [66][2300/10010] Time 0.318 (0.327) Data 0.001 (0.002) Loss 1.7010 (1.4079) Prec@1 63.281 (67.510) Prec@5 82.031 (86.314) Epoch: [66][2310/10010] Time 0.335 (0.327) Data 0.000 (0.002) Loss 1.4908 (1.4078) Prec@1 67.969 (67.515) Prec@5 84.375 (86.319) Epoch: [66][2320/10010] Time 0.336 (0.327) Data 0.000 (0.002) Loss 1.4030 (1.4075) Prec@1 67.969 (67.523) Prec@5 85.938 (86.325) Epoch: [66][2330/10010] Time 0.322 (0.327) Data 0.001 (0.002) Loss 1.1901 (1.4073) Prec@1 69.531 (67.516) Prec@5 89.844 (86.328) Epoch: [66][2340/10010] Time 0.334 (0.327) Data 0.001 (0.002) Loss 1.3526 (1.4072) Prec@1 69.531 (67.515) Prec@5 85.938 (86.330) Epoch: [66][2350/10010] Time 0.326 (0.327) Data 0.001 (0.002) Loss 1.2371 (1.4073) Prec@1 71.094 (67.511) Prec@5 87.500 (86.329) Epoch: [66][2360/10010] Time 0.315 (0.327) Data 0.000 (0.002) Loss 1.6868 (1.4071) Prec@1 62.500 (67.518) Prec@5 79.688 (86.331) Epoch: [66][2370/10010] Time 0.309 (0.327) Data 0.000 (0.002) Loss 1.6583 (1.4075) Prec@1 60.938 (67.508) Prec@5 82.031 (86.326) Epoch: [66][2380/10010] Time 0.337 (0.327) Data 0.000 (0.002) Loss 1.0088 (1.4072) Prec@1 81.250 (67.517) Prec@5 90.625 (86.334) Epoch: [66][2390/10010] Time 0.344 (0.327) Data 0.001 (0.002) Loss 1.4785 (1.4072) Prec@1 66.406 (67.513) Prec@5 88.281 (86.333) Epoch: [66][2400/10010] Time 0.321 (0.327) Data 0.001 (0.002) Loss 1.1698 (1.4070) Prec@1 73.438 (67.523) Prec@5 89.844 (86.337) Epoch: [66][2410/10010] Time 0.326 (0.327) Data 0.001 (0.002) Loss 1.4568 (1.4068) Prec@1 66.406 (67.517) Prec@5 86.719 (86.342) Epoch: [66][2420/10010] Time 0.344 (0.327) Data 0.000 (0.002) Loss 1.4650 (1.4066) Prec@1 67.188 (67.524) Prec@5 85.938 (86.345) Epoch: [66][2430/10010] Time 0.331 (0.327) Data 0.001 (0.002) Loss 1.5366 (1.4069) Prec@1 62.500 (67.517) Prec@5 81.250 (86.338) Epoch: [66][2440/10010] Time 0.319 (0.327) Data 0.001 (0.002) Loss 1.8089 (1.4071) Prec@1 60.156 (67.512) Prec@5 79.688 (86.337) Epoch: [66][2450/10010] Time 0.325 (0.327) Data 0.001 (0.002) Loss 1.1198 (1.4070) Prec@1 75.000 (67.523) Prec@5 92.188 (86.341) Epoch: [66][2460/10010] Time 0.319 (0.327) Data 0.001 (0.002) Loss 1.4253 (1.4069) Prec@1 64.844 (67.519) Prec@5 85.938 (86.341) Epoch: [66][2470/10010] Time 0.320 (0.327) Data 0.001 (0.002) Loss 1.2897 (1.4069) Prec@1 70.312 (67.519) Prec@5 85.938 (86.339) Epoch: [66][2480/10010] Time 0.319 (0.327) Data 0.000 (0.002) Loss 1.3302 (1.4069) Prec@1 70.312 (67.521) Prec@5 88.281 (86.337) Epoch: [66][2490/10010] Time 0.335 (0.327) Data 0.001 (0.002) Loss 1.5490 (1.4069) Prec@1 64.844 (67.523) Prec@5 85.938 (86.335) Epoch: [66][2500/10010] Time 0.320 (0.327) Data 0.001 (0.002) Loss 1.3672 (1.4068) Prec@1 69.531 (67.518) Prec@5 89.062 (86.339) Epoch: [66][2510/10010] Time 0.330 (0.327) Data 0.001 (0.002) Loss 1.4112 (1.4069) Prec@1 71.094 (67.520) Prec@5 88.281 (86.337) Epoch: [66][2520/10010] Time 0.336 (0.327) Data 0.001 (0.002) Loss 1.3924 (1.4067) Prec@1 67.969 (67.523) Prec@5 82.031 (86.339) Epoch: [66][2530/10010] Time 0.320 (0.327) Data 0.000 (0.002) Loss 1.4357 (1.4070) Prec@1 67.969 (67.520) Prec@5 85.156 (86.339) Epoch: [66][2540/10010] Time 0.315 (0.327) Data 0.000 (0.002) Loss 1.3992 (1.4069) Prec@1 70.312 (67.518) Prec@5 86.719 (86.340) Epoch: [66][2550/10010] Time 0.324 (0.327) Data 0.001 (0.002) Loss 1.5452 (1.4071) Prec@1 68.750 (67.519) Prec@5 83.594 (86.331) Epoch: [66][2560/10010] Time 0.334 (0.327) Data 0.000 (0.002) Loss 1.3291 (1.4070) Prec@1 72.656 (67.525) Prec@5 84.375 (86.330) Epoch: [66][2570/10010] Time 0.321 (0.327) Data 0.001 (0.002) Loss 1.5637 (1.4070) Prec@1 66.406 (67.523) Prec@5 79.688 (86.330) Epoch: [66][2580/10010] Time 0.329 (0.327) Data 0.001 (0.002) Loss 1.4729 (1.4069) Prec@1 67.969 (67.528) Prec@5 83.594 (86.331) Epoch: [66][2590/10010] Time 0.341 (0.327) Data 0.001 (0.002) Loss 1.3909 (1.4070) Prec@1 61.719 (67.515) Prec@5 88.281 (86.334) Epoch: [66][2600/10010] Time 0.315 (0.327) Data 0.001 (0.002) Loss 1.2781 (1.4070) Prec@1 69.531 (67.516) Prec@5 89.062 (86.336) Epoch: [66][2610/10010] Time 0.337 (0.327) Data 0.001 (0.002) Loss 1.4105 (1.4066) Prec@1 63.281 (67.518) Prec@5 88.281 (86.344) Epoch: [66][2620/10010] Time 0.319 (0.327) Data 0.001 (0.002) Loss 1.2200 (1.4065) Prec@1 74.219 (67.521) Prec@5 90.625 (86.346) Epoch: [66][2630/10010] Time 0.334 (0.327) Data 0.001 (0.002) Loss 1.4326 (1.4067) Prec@1 62.500 (67.518) Prec@5 85.938 (86.345) Epoch: [66][2640/10010] Time 0.317 (0.327) Data 0.001 (0.002) Loss 1.3857 (1.4068) Prec@1 67.969 (67.514) Prec@5 85.156 (86.345) Epoch: [66][2650/10010] Time 0.343 (0.327) Data 0.001 (0.002) Loss 1.4542 (1.4068) Prec@1 64.062 (67.512) Prec@5 87.500 (86.344) Epoch: [66][2660/10010] Time 0.337 (0.327) Data 0.001 (0.002) Loss 1.4879 (1.4065) Prec@1 67.188 (67.517) Prec@5 82.031 (86.348) Epoch: [66][2670/10010] Time 0.335 (0.327) Data 0.001 (0.002) Loss 1.4460 (1.4069) Prec@1 66.406 (67.507) Prec@5 85.938 (86.339) Epoch: [66][2680/10010] Time 0.339 (0.327) Data 0.001 (0.002) Loss 1.2980 (1.4066) Prec@1 64.844 (67.510) Prec@5 86.719 (86.345) Epoch: [66][2690/10010] Time 0.313 (0.327) Data 0.001 (0.002) Loss 1.6099 (1.4068) Prec@1 64.844 (67.506) Prec@5 83.594 (86.338) Epoch: [66][2700/10010] Time 0.326 (0.327) Data 0.001 (0.002) Loss 1.2636 (1.4066) Prec@1 67.969 (67.508) Prec@5 87.500 (86.340) Epoch: [66][2710/10010] Time 0.320 (0.327) Data 0.000 (0.002) Loss 1.1780 (1.4063) Prec@1 73.438 (67.513) Prec@5 89.844 (86.347) Epoch: [66][2720/10010] Time 0.321 (0.327) Data 0.001 (0.002) Loss 1.5345 (1.4062) Prec@1 59.375 (67.514) Prec@5 84.375 (86.351) Epoch: [66][2730/10010] Time 0.339 (0.327) Data 0.000 (0.002) Loss 1.5683 (1.4064) Prec@1 66.406 (67.512) Prec@5 85.156 (86.346) Epoch: [66][2740/10010] Time 0.329 (0.327) Data 0.001 (0.002) Loss 1.2793 (1.4064) Prec@1 74.219 (67.511) Prec@5 88.281 (86.346) Epoch: [66][2750/10010] Time 0.332 (0.327) Data 0.000 (0.002) Loss 1.3337 (1.4062) Prec@1 64.062 (67.510) Prec@5 84.375 (86.350) Epoch: [66][2760/10010] Time 0.325 (0.327) Data 0.001 (0.002) Loss 1.6586 (1.4067) Prec@1 64.844 (67.500) Prec@5 85.156 (86.347) Epoch: [66][2770/10010] Time 0.321 (0.327) Data 0.001 (0.002) Loss 1.4859 (1.4065) Prec@1 60.938 (67.503) Prec@5 85.938 (86.350) Epoch: [66][2780/10010] Time 0.325 (0.327) Data 0.001 (0.002) Loss 1.3030 (1.4064) Prec@1 70.312 (67.504) Prec@5 88.281 (86.351) Epoch: [66][2790/10010] Time 0.318 (0.327) Data 0.001 (0.002) Loss 1.7718 (1.4064) Prec@1 57.031 (67.505) Prec@5 82.031 (86.349) Epoch: [66][2800/10010] Time 0.336 (0.327) Data 0.001 (0.002) Loss 2.0296 (1.4069) Prec@1 50.781 (67.500) Prec@5 77.344 (86.343) Epoch: [66][2810/10010] Time 0.314 (0.327) Data 0.000 (0.002) Loss 1.4601 (1.4069) Prec@1 65.625 (67.502) Prec@5 87.500 (86.341) Epoch: [66][2820/10010] Time 0.328 (0.327) Data 0.000 (0.002) Loss 1.3112 (1.4067) Prec@1 66.406 (67.504) Prec@5 87.500 (86.346) Epoch: [66][2830/10010] Time 0.341 (0.327) Data 0.000 (0.002) Loss 1.2634 (1.4070) Prec@1 66.406 (67.492) Prec@5 87.500 (86.340) Epoch: [66][2840/10010] Time 0.319 (0.327) Data 0.000 (0.002) Loss 1.2669 (1.4069) Prec@1 71.875 (67.495) Prec@5 86.719 (86.340) Epoch: [66][2850/10010] Time 0.318 (0.327) Data 0.000 (0.002) Loss 1.1865 (1.4066) Prec@1 68.750 (67.497) Prec@5 88.281 (86.345) Epoch: [66][2860/10010] Time 0.333 (0.327) Data 0.000 (0.002) Loss 1.5284 (1.4067) Prec@1 60.938 (67.498) Prec@5 83.594 (86.344) Epoch: [66][2870/10010] Time 0.319 (0.327) Data 0.001 (0.002) Loss 1.1857 (1.4065) Prec@1 70.312 (67.505) Prec@5 91.406 (86.346) Epoch: [66][2880/10010] Time 0.328 (0.327) Data 0.001 (0.002) Loss 1.4323 (1.4066) Prec@1 68.750 (67.510) Prec@5 88.281 (86.344) Epoch: [66][2890/10010] Time 0.335 (0.327) Data 0.001 (0.002) Loss 1.3568 (1.4063) Prec@1 64.844 (67.513) Prec@5 88.281 (86.350) Epoch: [66][2900/10010] Time 0.314 (0.327) Data 0.000 (0.002) Loss 1.3341 (1.4063) Prec@1 68.750 (67.509) Prec@5 85.938 (86.349) Epoch: [66][2910/10010] Time 0.333 (0.327) Data 0.001 (0.002) Loss 1.3715 (1.4065) Prec@1 65.625 (67.499) Prec@5 89.062 (86.348) Epoch: [66][2920/10010] Time 0.321 (0.327) Data 0.001 (0.002) Loss 1.4270 (1.4065) Prec@1 63.281 (67.498) Prec@5 86.719 (86.348) Epoch: [66][2930/10010] Time 0.341 (0.327) Data 0.000 (0.002) Loss 1.4240 (1.4062) Prec@1 74.219 (67.506) Prec@5 82.031 (86.353) Epoch: [66][2940/10010] Time 0.325 (0.327) Data 0.000 (0.002) Loss 1.3795 (1.4063) Prec@1 64.844 (67.495) Prec@5 85.938 (86.352) Epoch: [66][2950/10010] Time 0.313 (0.327) Data 0.001 (0.002) Loss 1.7530 (1.4065) Prec@1 58.594 (67.484) Prec@5 80.469 (86.349) Epoch: [66][2960/10010] Time 0.323 (0.327) Data 0.001 (0.002) Loss 1.4127 (1.4067) Prec@1 68.750 (67.477) Prec@5 85.156 (86.348) Epoch: [66][2970/10010] Time 0.335 (0.327) Data 0.001 (0.002) Loss 1.5776 (1.4066) Prec@1 66.406 (67.479) Prec@5 81.250 (86.348) Epoch: [66][2980/10010] Time 0.323 (0.327) Data 0.000 (0.002) Loss 1.2674 (1.4065) Prec@1 70.312 (67.477) Prec@5 88.281 (86.349) Epoch: [66][2990/10010] Time 0.310 (0.327) Data 0.001 (0.002) Loss 1.4362 (1.4070) Prec@1 60.156 (67.466) Prec@5 84.375 (86.341) Epoch: [66][3000/10010] Time 0.338 (0.327) Data 0.001 (0.002) Loss 1.3825 (1.4073) Prec@1 68.750 (67.461) Prec@5 86.719 (86.336) Epoch: [66][3010/10010] Time 0.333 (0.327) Data 0.000 (0.002) Loss 1.3044 (1.4071) Prec@1 72.656 (67.464) Prec@5 88.281 (86.342) Epoch: [66][3020/10010] Time 0.312 (0.327) Data 0.001 (0.002) Loss 1.4204 (1.4073) Prec@1 66.406 (67.457) Prec@5 86.719 (86.340) Epoch: [66][3030/10010] Time 0.321 (0.327) Data 0.001 (0.002) Loss 1.3024 (1.4073) Prec@1 69.531 (67.460) Prec@5 88.281 (86.342) Epoch: [66][3040/10010] Time 0.330 (0.327) Data 0.001 (0.002) Loss 1.3966 (1.4073) Prec@1 68.750 (67.462) Prec@5 89.062 (86.342) Epoch: [66][3050/10010] Time 0.334 (0.327) Data 0.001 (0.002) Loss 1.3539 (1.4072) Prec@1 65.625 (67.456) Prec@5 82.812 (86.344) Epoch: [66][3060/10010] Time 0.340 (0.327) Data 0.001 (0.002) Loss 1.4811 (1.4072) Prec@1 66.406 (67.461) Prec@5 88.281 (86.345) Epoch: [66][3070/10010] Time 0.340 (0.327) Data 0.001 (0.002) Loss 1.3163 (1.4069) Prec@1 68.750 (67.469) Prec@5 84.375 (86.347) Epoch: [66][3080/10010] Time 0.335 (0.327) Data 0.000 (0.002) Loss 1.2859 (1.4073) Prec@1 71.094 (67.462) Prec@5 89.062 (86.339) Epoch: [66][3090/10010] Time 0.319 (0.327) Data 0.001 (0.002) Loss 1.5761 (1.4073) Prec@1 63.281 (67.462) Prec@5 82.812 (86.338) Epoch: [66][3100/10010] Time 0.331 (0.327) Data 0.001 (0.002) Loss 1.5164 (1.4076) Prec@1 65.625 (67.456) Prec@5 85.938 (86.335) Epoch: [66][3110/10010] Time 0.315 (0.327) Data 0.001 (0.002) Loss 1.3597 (1.4075) Prec@1 64.062 (67.454) Prec@5 89.062 (86.339) Epoch: [66][3120/10010] Time 0.332 (0.327) Data 0.000 (0.002) Loss 1.1147 (1.4072) Prec@1 69.531 (67.461) Prec@5 93.750 (86.345) Epoch: [66][3130/10010] Time 0.322 (0.327) Data 0.001 (0.002) Loss 1.3772 (1.4071) Prec@1 70.312 (67.465) Prec@5 88.281 (86.347) Epoch: [66][3140/10010] Time 0.342 (0.327) Data 0.001 (0.002) Loss 1.3316 (1.4070) Prec@1 71.094 (67.469) Prec@5 87.500 (86.348) Epoch: [66][3150/10010] Time 0.324 (0.327) Data 0.001 (0.002) Loss 1.3218 (1.4069) Prec@1 70.312 (67.473) Prec@5 85.156 (86.348) Epoch: [66][3160/10010] Time 0.334 (0.327) Data 0.001 (0.001) Loss 1.1418 (1.4070) Prec@1 72.656 (67.474) Prec@5 90.625 (86.345) Epoch: [66][3170/10010] Time 0.335 (0.327) Data 0.000 (0.001) Loss 1.4502 (1.4069) Prec@1 64.062 (67.474) Prec@5 84.375 (86.346) Epoch: [66][3180/10010] Time 0.320 (0.327) Data 0.001 (0.001) Loss 1.2902 (1.4069) Prec@1 65.625 (67.472) Prec@5 90.625 (86.346) Epoch: [66][3190/10010] Time 0.314 (0.327) Data 0.000 (0.001) Loss 1.4955 (1.4068) Prec@1 64.062 (67.472) Prec@5 83.594 (86.348) Epoch: [66][3200/10010] Time 0.331 (0.327) Data 0.001 (0.001) Loss 1.1182 (1.4067) Prec@1 74.219 (67.469) Prec@5 88.281 (86.349) Epoch: [66][3210/10010] Time 0.340 (0.327) Data 0.000 (0.001) Loss 1.3181 (1.4070) Prec@1 71.094 (67.467) Prec@5 87.500 (86.344) Epoch: [66][3220/10010] Time 0.327 (0.327) Data 0.001 (0.001) Loss 1.5367 (1.4071) Prec@1 66.406 (67.466) Prec@5 86.719 (86.344) Epoch: [66][3230/10010] Time 0.318 (0.327) Data 0.001 (0.001) Loss 1.3159 (1.4074) Prec@1 69.531 (67.465) Prec@5 84.375 (86.340) Epoch: [66][3240/10010] Time 0.319 (0.327) Data 0.001 (0.001) Loss 1.2535 (1.4076) Prec@1 75.000 (67.460) Prec@5 89.844 (86.337) Epoch: [66][3250/10010] Time 0.316 (0.327) Data 0.001 (0.001) Loss 1.3928 (1.4077) Prec@1 67.969 (67.463) Prec@5 83.594 (86.333) Epoch: [66][3260/10010] Time 0.334 (0.327) Data 0.001 (0.001) Loss 1.3531 (1.4077) Prec@1 69.531 (67.459) Prec@5 85.938 (86.332) Epoch: [66][3270/10010] Time 0.336 (0.327) Data 0.001 (0.001) Loss 1.3103 (1.4078) Prec@1 68.750 (67.457) Prec@5 85.938 (86.330) Epoch: [66][3280/10010] Time 0.337 (0.327) Data 0.004 (0.001) Loss 1.1949 (1.4078) Prec@1 68.750 (67.459) Prec@5 92.188 (86.331) Epoch: [66][3290/10010] Time 0.334 (0.327) Data 0.001 (0.001) Loss 1.3969 (1.4078) Prec@1 65.625 (67.460) Prec@5 84.375 (86.329) Epoch: [66][3300/10010] Time 0.328 (0.327) Data 0.001 (0.001) Loss 1.2569 (1.4077) Prec@1 71.875 (67.467) Prec@5 87.500 (86.330) Epoch: [66][3310/10010] Time 0.319 (0.327) Data 0.001 (0.001) Loss 1.7508 (1.4079) Prec@1 62.500 (67.461) Prec@5 82.812 (86.327) Epoch: [66][3320/10010] Time 0.326 (0.327) Data 0.001 (0.001) Loss 1.3705 (1.4079) Prec@1 64.062 (67.462) Prec@5 90.625 (86.331) Epoch: [66][3330/10010] Time 0.323 (0.327) Data 0.001 (0.001) Loss 1.2686 (1.4077) Prec@1 69.531 (67.468) Prec@5 87.500 (86.331) Epoch: [66][3340/10010] Time 0.325 (0.327) Data 0.000 (0.001) Loss 1.4088 (1.4079) Prec@1 67.188 (67.463) Prec@5 87.500 (86.325) Epoch: [66][3350/10010] Time 0.311 (0.327) Data 0.001 (0.001) Loss 1.4647 (1.4079) Prec@1 66.406 (67.465) Prec@5 85.938 (86.328) Epoch: [66][3360/10010] Time 0.328 (0.327) Data 0.000 (0.001) Loss 1.6125 (1.4080) Prec@1 61.719 (67.464) Prec@5 82.031 (86.326) Epoch: [66][3370/10010] Time 0.318 (0.327) Data 0.001 (0.001) Loss 1.5478 (1.4078) Prec@1 67.188 (67.470) Prec@5 84.375 (86.326) Epoch: [66][3380/10010] Time 0.324 (0.327) Data 0.001 (0.001) Loss 1.3850 (1.4077) Prec@1 66.406 (67.468) Prec@5 85.156 (86.327) Epoch: [66][3390/10010] Time 0.338 (0.327) Data 0.000 (0.001) Loss 1.3198 (1.4076) Prec@1 71.875 (67.470) Prec@5 88.281 (86.329) Epoch: [66][3400/10010] Time 0.335 (0.327) Data 0.001 (0.001) Loss 1.3097 (1.4077) Prec@1 71.875 (67.468) Prec@5 85.156 (86.327) Epoch: [66][3410/10010] Time 0.320 (0.327) Data 0.001 (0.001) Loss 1.5435 (1.4076) Prec@1 71.094 (67.470) Prec@5 83.594 (86.326) Epoch: [66][3420/10010] Time 0.327 (0.327) Data 0.000 (0.001) Loss 1.0911 (1.4074) Prec@1 75.781 (67.474) Prec@5 91.406 (86.329) Epoch: [66][3430/10010] Time 0.323 (0.327) Data 0.000 (0.001) Loss 1.6806 (1.4074) Prec@1 65.625 (67.476) Prec@5 81.250 (86.331) Epoch: [66][3440/10010] Time 0.325 (0.327) Data 0.000 (0.001) Loss 1.3747 (1.4073) Prec@1 66.406 (67.481) Prec@5 89.062 (86.336) Epoch: [66][3450/10010] Time 0.336 (0.327) Data 0.000 (0.001) Loss 1.5016 (1.4072) Prec@1 65.625 (67.486) Prec@5 80.469 (86.333) Epoch: [66][3460/10010] Time 0.334 (0.327) Data 0.001 (0.001) Loss 1.6134 (1.4073) Prec@1 58.594 (67.483) Prec@5 85.938 (86.333) Epoch: [66][3470/10010] Time 0.323 (0.327) Data 0.001 (0.001) Loss 1.5302 (1.4072) Prec@1 67.969 (67.488) Prec@5 86.719 (86.333) Epoch: [66][3480/10010] Time 0.316 (0.327) Data 0.000 (0.001) Loss 1.4987 (1.4072) Prec@1 67.969 (67.493) Prec@5 84.375 (86.333) Epoch: [66][3490/10010] Time 0.320 (0.327) Data 0.000 (0.001) Loss 1.1791 (1.4072) Prec@1 72.656 (67.489) Prec@5 90.625 (86.334) Epoch: [66][3500/10010] Time 0.331 (0.327) Data 0.000 (0.001) Loss 1.7133 (1.4071) Prec@1 64.844 (67.492) Prec@5 83.594 (86.336) Epoch: [66][3510/10010] Time 0.321 (0.327) Data 0.001 (0.001) Loss 1.7047 (1.4073) Prec@1 64.062 (67.490) Prec@5 82.812 (86.335) Epoch: [66][3520/10010] Time 0.320 (0.327) Data 0.000 (0.001) Loss 1.3918 (1.4073) Prec@1 69.531 (67.490) Prec@5 83.594 (86.334) Epoch: [66][3530/10010] Time 0.336 (0.327) Data 0.001 (0.001) Loss 1.6239 (1.4074) Prec@1 60.938 (67.486) Prec@5 79.688 (86.331) Epoch: [66][3540/10010] Time 0.315 (0.327) Data 0.001 (0.001) Loss 1.4179 (1.4075) Prec@1 67.969 (67.479) Prec@5 85.938 (86.331) Epoch: [66][3550/10010] Time 0.332 (0.327) Data 0.001 (0.001) Loss 1.5295 (1.4075) Prec@1 62.500 (67.481) Prec@5 82.812 (86.330) Epoch: [66][3560/10010] Time 0.315 (0.327) Data 0.000 (0.001) Loss 1.3700 (1.4073) Prec@1 67.188 (67.485) Prec@5 87.500 (86.334) Epoch: [66][3570/10010] Time 0.320 (0.327) Data 0.001 (0.001) Loss 1.2238 (1.4071) Prec@1 75.781 (67.489) Prec@5 85.938 (86.335) Epoch: [66][3580/10010] Time 0.320 (0.327) Data 0.000 (0.001) Loss 1.5169 (1.4073) Prec@1 74.219 (67.489) Prec@5 83.594 (86.331) Epoch: [66][3590/10010] Time 0.336 (0.327) Data 0.000 (0.001) Loss 1.3957 (1.4071) Prec@1 67.969 (67.491) Prec@5 85.156 (86.334) Epoch: [66][3600/10010] Time 0.334 (0.327) Data 0.001 (0.001) Loss 1.4085 (1.4071) Prec@1 64.062 (67.489) Prec@5 87.500 (86.334) Epoch: [66][3610/10010] Time 0.325 (0.327) Data 0.001 (0.001) Loss 1.1516 (1.4071) Prec@1 73.438 (67.487) Prec@5 90.625 (86.333) Epoch: [66][3620/10010] Time 0.337 (0.327) Data 0.001 (0.001) Loss 1.3208 (1.4071) Prec@1 73.438 (67.491) Prec@5 86.719 (86.331) Epoch: [66][3630/10010] Time 0.318 (0.327) Data 0.001 (0.001) Loss 1.5062 (1.4072) Prec@1 66.406 (67.489) Prec@5 83.594 (86.330) Epoch: [66][3640/10010] Time 0.319 (0.327) Data 0.001 (0.001) Loss 1.5469 (1.4075) Prec@1 61.719 (67.482) Prec@5 82.812 (86.325) Epoch: [66][3650/10010] Time 0.315 (0.327) Data 0.001 (0.001) Loss 1.3821 (1.4076) Prec@1 67.969 (67.481) Prec@5 86.719 (86.324) Epoch: [66][3660/10010] Time 0.317 (0.327) Data 0.001 (0.001) Loss 1.4066 (1.4077) Prec@1 64.062 (67.474) Prec@5 86.719 (86.322) Epoch: [66][3670/10010] Time 0.322 (0.327) Data 0.001 (0.001) Loss 1.5186 (1.4076) Prec@1 63.281 (67.475) Prec@5 85.938 (86.323) Epoch: [66][3680/10010] Time 0.335 (0.327) Data 0.001 (0.001) Loss 1.4713 (1.4077) Prec@1 64.062 (67.473) Prec@5 89.062 (86.319) Epoch: [66][3690/10010] Time 0.342 (0.327) Data 0.001 (0.001) Loss 1.3852 (1.4077) Prec@1 65.625 (67.473) Prec@5 89.062 (86.321) Epoch: [66][3700/10010] Time 0.333 (0.327) Data 0.001 (0.001) Loss 1.2536 (1.4078) Prec@1 72.656 (67.474) Prec@5 85.938 (86.319) Epoch: [66][3710/10010] Time 0.311 (0.327) Data 0.001 (0.001) Loss 1.1675 (1.4079) Prec@1 70.312 (67.473) Prec@5 93.750 (86.320) Epoch: [66][3720/10010] Time 0.317 (0.327) Data 0.001 (0.001) Loss 1.2120 (1.4077) Prec@1 69.531 (67.471) Prec@5 86.719 (86.322) Epoch: [66][3730/10010] Time 0.331 (0.327) Data 0.001 (0.001) Loss 1.2210 (1.4076) Prec@1 69.531 (67.472) Prec@5 87.500 (86.324) Epoch: [66][3740/10010] Time 0.330 (0.327) Data 0.001 (0.001) Loss 1.3010 (1.4075) Prec@1 73.438 (67.474) Prec@5 86.719 (86.328) Epoch: [66][3750/10010] Time 0.323 (0.327) Data 0.000 (0.001) Loss 1.3918 (1.4075) Prec@1 66.406 (67.472) Prec@5 87.500 (86.329) Epoch: [66][3760/10010] Time 0.331 (0.327) Data 0.001 (0.001) Loss 1.2771 (1.4075) Prec@1 74.219 (67.471) Prec@5 88.281 (86.332) Epoch: [66][3770/10010] Time 0.317 (0.327) Data 0.001 (0.001) Loss 1.2989 (1.4075) Prec@1 70.312 (67.472) Prec@5 83.594 (86.334) Epoch: [66][3780/10010] Time 0.322 (0.327) Data 0.000 (0.001) Loss 1.2636 (1.4076) Prec@1 69.531 (67.468) Prec@5 89.062 (86.335) Epoch: [66][3790/10010] Time 0.310 (0.327) Data 0.000 (0.001) Loss 1.6692 (1.4077) Prec@1 61.719 (67.466) Prec@5 85.156 (86.333) Epoch: [66][3800/10010] Time 0.334 (0.327) Data 0.001 (0.001) Loss 1.1732 (1.4074) Prec@1 72.656 (67.472) Prec@5 88.281 (86.335) Epoch: [66][3810/10010] Time 0.325 (0.327) Data 0.000 (0.001) Loss 1.2193 (1.4074) Prec@1 69.531 (67.473) Prec@5 88.281 (86.333) Epoch: [66][3820/10010] Time 0.336 (0.327) Data 0.001 (0.001) Loss 1.2032 (1.4075) Prec@1 71.875 (67.469) Prec@5 85.938 (86.331) Epoch: [66][3830/10010] Time 0.339 (0.327) Data 0.000 (0.001) Loss 1.6550 (1.4075) Prec@1 60.938 (67.468) Prec@5 81.250 (86.329) Epoch: [66][3840/10010] Time 0.338 (0.327) Data 0.001 (0.001) Loss 1.2199 (1.4074) Prec@1 71.875 (67.468) Prec@5 90.625 (86.332) Epoch: [66][3850/10010] Time 0.318 (0.327) Data 0.000 (0.001) Loss 1.3991 (1.4074) Prec@1 63.281 (67.468) Prec@5 88.281 (86.335) Epoch: [66][3860/10010] Time 0.319 (0.327) Data 0.001 (0.001) Loss 1.7631 (1.4076) Prec@1 60.938 (67.466) Prec@5 84.375 (86.334) Epoch: [66][3870/10010] Time 0.339 (0.327) Data 0.001 (0.001) Loss 1.3667 (1.4075) Prec@1 62.500 (67.466) Prec@5 84.375 (86.334) Epoch: [66][3880/10010] Time 0.338 (0.327) Data 0.001 (0.001) Loss 0.9562 (1.4075) Prec@1 76.562 (67.463) Prec@5 94.531 (86.335) Epoch: [66][3890/10010] Time 0.329 (0.327) Data 0.001 (0.001) Loss 1.3440 (1.4075) Prec@1 67.969 (67.464) Prec@5 88.281 (86.334) Epoch: [66][3900/10010] Time 0.315 (0.327) Data 0.001 (0.001) Loss 1.2959 (1.4075) Prec@1 68.750 (67.463) Prec@5 88.281 (86.333) Epoch: [66][3910/10010] Time 0.336 (0.327) Data 0.001 (0.001) Loss 1.4311 (1.4076) Prec@1 67.188 (67.461) Prec@5 86.719 (86.331) Epoch: [66][3920/10010] Time 0.341 (0.327) Data 0.000 (0.001) Loss 1.5497 (1.4076) Prec@1 64.844 (67.462) Prec@5 84.375 (86.332) Epoch: [66][3930/10010] Time 0.321 (0.327) Data 0.000 (0.001) Loss 1.5448 (1.4074) Prec@1 63.281 (67.467) Prec@5 82.812 (86.333) Epoch: [66][3940/10010] Time 0.325 (0.327) Data 0.001 (0.001) Loss 1.3992 (1.4076) Prec@1 61.719 (67.461) Prec@5 89.062 (86.331) Epoch: [66][3950/10010] Time 0.325 (0.327) Data 0.001 (0.001) Loss 1.2674 (1.4076) Prec@1 70.312 (67.462) Prec@5 90.625 (86.332) Epoch: [66][3960/10010] Time 0.341 (0.327) Data 0.001 (0.001) Loss 1.4352 (1.4075) Prec@1 64.062 (67.464) Prec@5 86.719 (86.332) Epoch: [66][3970/10010] Time 0.333 (0.327) Data 0.000 (0.001) Loss 1.4738 (1.4072) Prec@1 67.188 (67.466) Prec@5 85.156 (86.335) Epoch: [66][3980/10010] Time 0.319 (0.327) Data 0.001 (0.001) Loss 1.3857 (1.4071) Prec@1 70.312 (67.466) Prec@5 88.281 (86.339) Epoch: [66][3990/10010] Time 0.333 (0.327) Data 0.001 (0.001) Loss 1.2989 (1.4071) Prec@1 71.094 (67.468) Prec@5 85.156 (86.337) Epoch: [66][4000/10010] Time 0.319 (0.327) Data 0.001 (0.001) Loss 1.1482 (1.4072) Prec@1 68.750 (67.465) Prec@5 90.625 (86.335) Epoch: [66][4010/10010] Time 0.315 (0.327) Data 0.000 (0.001) Loss 1.6186 (1.4074) Prec@1 66.406 (67.462) Prec@5 81.250 (86.331) Epoch: [66][4020/10010] Time 0.340 (0.327) Data 0.001 (0.001) Loss 1.1320 (1.4072) Prec@1 68.750 (67.465) Prec@5 90.625 (86.333) Epoch: [66][4030/10010] Time 0.308 (0.327) Data 0.000 (0.001) Loss 1.1298 (1.4072) Prec@1 71.875 (67.463) Prec@5 87.500 (86.331) Epoch: [66][4040/10010] Time 0.332 (0.327) Data 0.000 (0.001) Loss 1.7664 (1.4074) Prec@1 57.031 (67.454) Prec@5 78.906 (86.328) Epoch: [66][4050/10010] Time 0.336 (0.327) Data 0.001 (0.001) Loss 1.2098 (1.4073) Prec@1 64.062 (67.453) Prec@5 92.969 (86.329) Epoch: [66][4060/10010] Time 0.321 (0.327) Data 0.001 (0.001) Loss 1.5666 (1.4074) Prec@1 65.625 (67.450) Prec@5 83.594 (86.327) Epoch: [66][4070/10010] Time 0.339 (0.327) Data 0.000 (0.001) Loss 1.2979 (1.4072) Prec@1 72.656 (67.453) Prec@5 89.062 (86.331) Epoch: [66][4080/10010] Time 0.323 (0.327) Data 0.000 (0.001) Loss 1.4134 (1.4074) Prec@1 66.406 (67.446) Prec@5 84.375 (86.328) Epoch: [66][4090/10010] Time 0.318 (0.327) Data 0.001 (0.001) Loss 1.3881 (1.4074) Prec@1 69.531 (67.444) Prec@5 85.156 (86.328) Epoch: [66][4100/10010] Time 0.323 (0.327) Data 0.000 (0.001) Loss 1.5275 (1.4072) Prec@1 67.188 (67.450) Prec@5 83.594 (86.328) Epoch: [66][4110/10010] Time 0.335 (0.327) Data 0.001 (0.001) Loss 1.1786 (1.4072) Prec@1 71.094 (67.449) Prec@5 89.062 (86.329) Epoch: [66][4120/10010] Time 0.323 (0.327) Data 0.000 (0.001) Loss 1.5417 (1.4071) Prec@1 68.750 (67.453) Prec@5 85.156 (86.330) Epoch: [66][4130/10010] Time 0.321 (0.327) Data 0.001 (0.001) Loss 1.2367 (1.4070) Prec@1 70.312 (67.453) Prec@5 88.281 (86.332) Epoch: [66][4140/10010] Time 0.315 (0.327) Data 0.001 (0.001) Loss 1.3924 (1.4071) Prec@1 68.750 (67.451) Prec@5 85.938 (86.326) Epoch: [66][4150/10010] Time 0.334 (0.327) Data 0.000 (0.001) Loss 1.3913 (1.4069) Prec@1 67.188 (67.460) Prec@5 85.938 (86.328) Epoch: [66][4160/10010] Time 0.336 (0.327) Data 0.000 (0.001) Loss 1.3177 (1.4069) Prec@1 65.625 (67.459) Prec@5 89.844 (86.328) Epoch: [66][4170/10010] Time 0.338 (0.327) Data 0.000 (0.001) Loss 1.0505 (1.4068) Prec@1 73.438 (67.460) Prec@5 92.969 (86.333) Epoch: [66][4180/10010] Time 0.333 (0.327) Data 0.000 (0.001) Loss 1.3781 (1.4068) Prec@1 64.062 (67.458) Prec@5 85.938 (86.332) Epoch: [66][4190/10010] Time 0.314 (0.327) Data 0.000 (0.001) Loss 1.1945 (1.4068) Prec@1 71.094 (67.456) Prec@5 89.062 (86.331) Epoch: [66][4200/10010] Time 0.323 (0.327) Data 0.000 (0.001) Loss 1.3340 (1.4069) Prec@1 64.062 (67.456) Prec@5 89.062 (86.330) Epoch: [66][4210/10010] Time 0.314 (0.327) Data 0.001 (0.001) Loss 1.3233 (1.4069) Prec@1 64.062 (67.454) Prec@5 85.938 (86.331) Epoch: [66][4220/10010] Time 0.339 (0.327) Data 0.001 (0.001) Loss 1.2344 (1.4069) Prec@1 71.094 (67.453) Prec@5 89.062 (86.332) Epoch: [66][4230/10010] Time 0.338 (0.327) Data 0.001 (0.001) Loss 1.5464 (1.4069) Prec@1 62.500 (67.451) Prec@5 85.156 (86.331) Epoch: [66][4240/10010] Time 0.336 (0.327) Data 0.001 (0.001) Loss 1.6058 (1.4068) Prec@1 62.500 (67.452) Prec@5 82.812 (86.333) Epoch: [66][4250/10010] Time 0.326 (0.327) Data 0.001 (0.001) Loss 1.5112 (1.4071) Prec@1 64.844 (67.448) Prec@5 85.938 (86.328) Epoch: [66][4260/10010] Time 0.321 (0.327) Data 0.001 (0.001) Loss 1.5939 (1.4071) Prec@1 64.062 (67.447) Prec@5 81.250 (86.327) Epoch: [66][4270/10010] Time 0.326 (0.327) Data 0.001 (0.001) Loss 1.4890 (1.4071) Prec@1 64.844 (67.447) Prec@5 85.156 (86.325) Epoch: [66][4280/10010] Time 0.341 (0.327) Data 0.001 (0.001) Loss 1.5628 (1.4072) Prec@1 64.062 (67.449) Prec@5 83.594 (86.322) Epoch: [66][4290/10010] Time 0.324 (0.327) Data 0.000 (0.001) Loss 1.2573 (1.4070) Prec@1 69.531 (67.456) Prec@5 85.938 (86.323) Epoch: [66][4300/10010] Time 0.326 (0.327) Data 0.001 (0.001) Loss 1.5009 (1.4070) Prec@1 66.406 (67.458) Prec@5 85.156 (86.321) Epoch: [66][4310/10010] Time 0.310 (0.327) Data 0.001 (0.001) Loss 1.4648 (1.4071) Prec@1 62.500 (67.455) Prec@5 83.594 (86.320) /data/vision/torralba/deepscene/lib/anaconda2/lib/python2.7/site-packages/PIL/TiffImagePlugin.py:692: UserWarning: Possibly corrupt EXIF data. Expecting to read 2555904 bytes but only got 0. Skipping tag 0 "Skipping tag %s" % (size, len(data), tag)) Epoch: [66][4320/10010] Time 0.315 (0.327) Data 0.000 (0.001) Loss 1.5555 (1.4072) Prec@1 67.188 (67.454) Prec@5 84.375 (86.321) Epoch: [66][4330/10010] Time 0.328 (0.327) Data 0.001 (0.001) Loss 1.0629 (1.4071) Prec@1 72.656 (67.456) Prec@5 89.844 (86.322) Epoch: [66][4340/10010] Time 0.324 (0.327) Data 0.001 (0.001) Loss 1.5449 (1.4071) Prec@1 64.844 (67.453) Prec@5 84.375 (86.322) Epoch: [66][4350/10010] Time 0.318 (0.327) Data 0.000 (0.001) Loss 1.6116 (1.4071) Prec@1 66.406 (67.454) Prec@5 83.594 (86.325) Epoch: [66][4360/10010] Time 0.339 (0.327) Data 0.001 (0.001) Loss 1.3795 (1.4071) Prec@1 67.188 (67.454) Prec@5 85.938 (86.325) Epoch: [66][4370/10010] Time 0.324 (0.327) Data 0.001 (0.001) Loss 1.3324 (1.4069) Prec@1 68.750 (67.455) Prec@5 89.062 (86.330) Epoch: [66][4380/10010] Time 0.312 (0.327) Data 0.001 (0.001) Loss 1.7246 (1.4072) Prec@1 60.938 (67.454) Prec@5 80.469 (86.326) Epoch: [66][4390/10010] Time 0.325 (0.327) Data 0.001 (0.001) Loss 1.2610 (1.4070) Prec@1 73.438 (67.456) Prec@5 91.406 (86.327) Epoch: [66][4400/10010] Time 0.321 (0.327) Data 0.000 (0.001) Loss 1.3663 (1.4072) Prec@1 67.188 (67.453) Prec@5 87.500 (86.328) Epoch: [66][4410/10010] Time 0.313 (0.327) Data 0.000 (0.001) Loss 1.6204 (1.4073) Prec@1 61.719 (67.449) Prec@5 83.594 (86.323) Epoch: [66][4420/10010] Time 0.327 (0.327) Data 0.000 (0.001) Loss 1.4565 (1.4070) Prec@1 68.750 (67.454) Prec@5 85.938 (86.328) Epoch: [66][4430/10010] Time 0.337 (0.327) Data 0.000 (0.001) Loss 1.6510 (1.4070) Prec@1 64.844 (67.454) Prec@5 83.594 (86.328) Epoch: [66][4440/10010] Time 0.332 (0.327) Data 0.000 (0.001) Loss 1.3231 (1.4071) Prec@1 66.406 (67.453) Prec@5 86.719 (86.326) Epoch: [66][4450/10010] Time 0.327 (0.327) Data 0.001 (0.001) Loss 1.5586 (1.4071) Prec@1 66.406 (67.456) Prec@5 84.375 (86.325) Epoch: [66][4460/10010] Time 0.339 (0.327) Data 0.001 (0.001) Loss 1.3981 (1.4070) Prec@1 71.875 (67.458) Prec@5 86.719 (86.326) Epoch: [66][4470/10010] Time 0.336 (0.327) Data 0.000 (0.001) Loss 1.3724 (1.4071) Prec@1 62.500 (67.458) Prec@5 91.406 (86.328) Epoch: [66][4480/10010] Time 0.337 (0.327) Data 0.001 (0.001) Loss 1.3275 (1.4071) Prec@1 69.531 (67.460) Prec@5 86.719 (86.328) Epoch: [66][4490/10010] Time 0.331 (0.327) Data 0.001 (0.001) Loss 1.4010 (1.4071) Prec@1 67.969 (67.457) Prec@5 89.062 (86.328) Epoch: [66][4500/10010] Time 0.329 (0.327) Data 0.001 (0.001) Loss 1.3489 (1.4071) Prec@1 67.188 (67.461) Prec@5 88.281 (86.329) Epoch: [66][4510/10010] Time 0.322 (0.327) Data 0.001 (0.001) Loss 1.4046 (1.4072) Prec@1 65.625 (67.457) Prec@5 89.062 (86.327) Epoch: [66][4520/10010] Time 0.321 (0.327) Data 0.000 (0.001) Loss 1.4401 (1.4073) Prec@1 71.094 (67.455) Prec@5 85.938 (86.328) Epoch: [66][4530/10010] Time 0.339 (0.327) Data 0.000 (0.001) Loss 1.4807 (1.4072) Prec@1 67.188 (67.457) Prec@5 86.719 (86.329) Epoch: [66][4540/10010] Time 0.341 (0.327) Data 0.001 (0.001) Loss 1.5444 (1.4073) Prec@1 62.500 (67.454) Prec@5 83.594 (86.328) Epoch: [66][4550/10010] Time 0.331 (0.327) Data 0.000 (0.001) Loss 1.6555 (1.4074) Prec@1 66.406 (67.454) Prec@5 82.031 (86.326) Epoch: [66][4560/10010] Time 0.322 (0.327) Data 0.000 (0.001) Loss 1.3070 (1.4075) Prec@1 64.062 (67.454) Prec@5 86.719 (86.325) Epoch: [66][4570/10010] Time 0.326 (0.327) Data 0.001 (0.001) Loss 1.3943 (1.4073) Prec@1 60.938 (67.460) Prec@5 86.719 (86.326) Epoch: [66][4580/10010] Time 0.341 (0.327) Data 0.000 (0.001) Loss 1.6785 (1.4073) Prec@1 67.188 (67.459) Prec@5 78.906 (86.324) Epoch: [66][4590/10010] Time 0.312 (0.327) Data 0.001 (0.001) Loss 1.4743 (1.4073) Prec@1 65.625 (67.461) Prec@5 84.375 (86.324) Epoch: [66][4600/10010] Time 0.316 (0.327) Data 0.001 (0.001) Loss 1.5355 (1.4073) Prec@1 63.281 (67.464) Prec@5 84.375 (86.326) Epoch: [66][4610/10010] Time 0.336 (0.327) Data 0.001 (0.001) Loss 1.4854 (1.4073) Prec@1 67.188 (67.463) Prec@5 83.594 (86.326) Epoch: [66][4620/10010] Time 0.339 (0.327) Data 0.001 (0.001) Loss 1.3121 (1.4075) Prec@1 73.438 (67.459) Prec@5 85.938 (86.323) Epoch: [66][4630/10010] Time 0.343 (0.327) Data 0.000 (0.001) Loss 1.2054 (1.4074) Prec@1 71.094 (67.462) Prec@5 91.406 (86.327) Epoch: [66][4640/10010] Time 0.318 (0.327) Data 0.001 (0.001) Loss 1.3892 (1.4072) Prec@1 68.750 (67.467) Prec@5 85.938 (86.329) Epoch: [66][4650/10010] Time 0.325 (0.327) Data 0.001 (0.001) Loss 1.0688 (1.4070) Prec@1 75.781 (67.473) Prec@5 88.281 (86.329) Epoch: [66][4660/10010] Time 0.326 (0.327) Data 0.001 (0.001) Loss 1.7572 (1.4069) Prec@1 59.375 (67.474) Prec@5 82.031 (86.330) Epoch: [66][4670/10010] Time 0.324 (0.327) Data 0.001 (0.001) Loss 1.6531 (1.4068) Prec@1 61.719 (67.474) Prec@5 82.812 (86.333) Epoch: [66][4680/10010] Time 0.341 (0.327) Data 0.000 (0.001) Loss 1.4232 (1.4069) Prec@1 65.625 (67.470) Prec@5 82.812 (86.331) Epoch: [66][4690/10010] Time 0.325 (0.327) Data 0.001 (0.001) Loss 1.2384 (1.4068) Prec@1 67.188 (67.475) Prec@5 91.406 (86.331) Epoch: [66][4700/10010] Time 0.330 (0.327) Data 0.001 (0.001) Loss 1.4872 (1.4069) Prec@1 66.406 (67.474) Prec@5 85.156 (86.332) Epoch: [66][4710/10010] Time 0.324 (0.327) Data 0.001 (0.001) Loss 1.4483 (1.4068) Prec@1 71.094 (67.479) Prec@5 82.812 (86.334) Epoch: [66][4720/10010] Time 0.340 (0.327) Data 0.001 (0.001) Loss 1.5638 (1.4069) Prec@1 67.188 (67.479) Prec@5 85.156 (86.332) Epoch: [66][4730/10010] Time 0.309 (0.327) Data 0.000 (0.001) Loss 1.7344 (1.4069) Prec@1 61.719 (67.480) Prec@5 86.719 (86.334) Epoch: [66][4740/10010] Time 0.341 (0.327) Data 0.000 (0.001) Loss 1.4451 (1.4070) Prec@1 67.188 (67.477) Prec@5 85.938 (86.332) Epoch: [66][4750/10010] Time 0.339 (0.327) Data 0.001 (0.001) Loss 1.1886 (1.4071) Prec@1 72.656 (67.479) Prec@5 88.281 (86.331) Epoch: [66][4760/10010] Time 0.339 (0.327) Data 0.001 (0.001) Loss 1.2849 (1.4071) Prec@1 64.062 (67.475) Prec@5 89.844 (86.332) Epoch: [66][4770/10010] Time 0.332 (0.327) Data 0.001 (0.001) Loss 1.3652 (1.4071) Prec@1 66.406 (67.477) Prec@5 88.281 (86.330) Epoch: [66][4780/10010] Time 0.342 (0.327) Data 0.001 (0.001) Loss 1.4244 (1.4069) Prec@1 64.844 (67.479) Prec@5 89.062 (86.334) Epoch: [66][4790/10010] Time 0.325 (0.327) Data 0.001 (0.001) Loss 1.2237 (1.4068) Prec@1 66.406 (67.481) Prec@5 84.375 (86.332) Epoch: [66][4800/10010] Time 0.322 (0.327) Data 0.001 (0.001) Loss 1.5465 (1.4069) Prec@1 67.969 (67.480) Prec@5 82.812 (86.330) Epoch: [66][4810/10010] Time 0.320 (0.327) Data 0.001 (0.001) Loss 1.4664 (1.4069) Prec@1 62.500 (67.483) Prec@5 85.156 (86.328) Epoch: [66][4820/10010] Time 0.331 (0.327) Data 0.000 (0.001) Loss 1.3914 (1.4070) Prec@1 73.438 (67.484) Prec@5 85.156 (86.326) Epoch: [66][4830/10010] Time 0.320 (0.327) Data 0.001 (0.001) Loss 1.4323 (1.4070) Prec@1 65.625 (67.487) Prec@5 89.844 (86.328) Epoch: [66][4840/10010] Time 0.324 (0.327) Data 0.003 (0.001) Loss 0.9884 (1.4068) Prec@1 73.438 (67.488) Prec@5 93.750 (86.330) Epoch: [66][4850/10010] Time 0.319 (0.327) Data 0.001 (0.001) Loss 1.3846 (1.4068) Prec@1 69.531 (67.490) Prec@5 87.500 (86.329) Epoch: [66][4860/10010] Time 0.339 (0.327) Data 0.001 (0.001) Loss 1.3872 (1.4068) Prec@1 67.969 (67.492) Prec@5 85.156 (86.329) Epoch: [66][4870/10010] Time 0.327 (0.327) Data 0.001 (0.001) Loss 1.6066 (1.4068) Prec@1 61.719 (67.492) Prec@5 84.375 (86.327) Epoch: [66][4880/10010] Time 0.318 (0.327) Data 0.001 (0.001) Loss 1.1899 (1.4069) Prec@1 68.750 (67.486) Prec@5 89.844 (86.327) Epoch: [66][4890/10010] Time 0.316 (0.327) Data 0.001 (0.001) Loss 1.6696 (1.4068) Prec@1 55.469 (67.488) Prec@5 82.812 (86.328) Epoch: [66][4900/10010] Time 0.333 (0.327) Data 0.001 (0.001) Loss 1.3578 (1.4070) Prec@1 64.844 (67.485) Prec@5 86.719 (86.325) Epoch: [66][4910/10010] Time 0.327 (0.327) Data 0.000 (0.001) Loss 1.6031 (1.4070) Prec@1 61.719 (67.485) Prec@5 85.156 (86.326) Epoch: [66][4920/10010] Time 0.322 (0.327) Data 0.000 (0.001) Loss 1.2853 (1.4070) Prec@1 66.406 (67.484) Prec@5 87.500 (86.325) Epoch: [66][4930/10010] Time 0.316 (0.327) Data 0.001 (0.001) Loss 1.3537 (1.4070) Prec@1 68.750 (67.485) Prec@5 90.625 (86.324) Epoch: [66][4940/10010] Time 0.328 (0.327) Data 0.001 (0.001) Loss 1.8210 (1.4071) Prec@1 57.812 (67.480) Prec@5 82.812 (86.324) Epoch: [66][4950/10010] Time 0.322 (0.327) Data 0.001 (0.001) Loss 1.3692 (1.4071) Prec@1 68.750 (67.481) Prec@5 85.156 (86.322) Epoch: [66][4960/10010] Time 0.330 (0.327) Data 0.001 (0.001) Loss 1.4924 (1.4074) Prec@1 65.625 (67.477) Prec@5 83.594 (86.316) Epoch: [66][4970/10010] Time 0.336 (0.327) Data 0.000 (0.001) Loss 1.5587 (1.4074) Prec@1 64.062 (67.479) Prec@5 82.812 (86.315) Epoch: [66][4980/10010] Time 0.321 (0.327) Data 0.000 (0.001) Loss 1.5137 (1.4075) Prec@1 65.625 (67.477) Prec@5 85.938 (86.314) Epoch: [66][4990/10010] Time 0.322 (0.327) Data 0.000 (0.001) Loss 1.1167 (1.4074) Prec@1 73.438 (67.478) Prec@5 90.625 (86.317) Epoch: [66][5000/10010] Time 0.339 (0.327) Data 0.000 (0.001) Loss 1.4626 (1.4073) Prec@1 69.531 (67.481) Prec@5 87.500 (86.319) Epoch: [66][5010/10010] Time 0.321 (0.327) Data 0.001 (0.001) Loss 1.0843 (1.4074) Prec@1 74.219 (67.477) Prec@5 91.406 (86.316) Epoch: [66][5020/10010] Time 0.333 (0.327) Data 0.001 (0.001) Loss 1.4181 (1.4072) Prec@1 64.844 (67.480) Prec@5 85.938 (86.319) Epoch: [66][5030/10010] Time 0.326 (0.327) Data 0.001 (0.001) Loss 1.4105 (1.4071) Prec@1 71.875 (67.485) Prec@5 83.594 (86.321) Epoch: [66][5040/10010] Time 0.319 (0.327) Data 0.001 (0.001) Loss 1.7044 (1.4071) Prec@1 56.250 (67.485) Prec@5 83.594 (86.321) Epoch: [66][5050/10010] Time 0.331 (0.327) Data 0.000 (0.001) Loss 1.7345 (1.4071) Prec@1 65.625 (67.484) Prec@5 81.250 (86.319) Epoch: [66][5060/10010] Time 0.337 (0.327) Data 0.000 (0.001) Loss 1.0640 (1.4069) Prec@1 74.219 (67.487) Prec@5 92.188 (86.323) Epoch: [66][5070/10010] Time 0.315 (0.327) Data 0.001 (0.001) Loss 1.0593 (1.4067) Prec@1 76.562 (67.493) Prec@5 89.062 (86.327) Epoch: [66][5080/10010] Time 0.337 (0.327) Data 0.001 (0.001) Loss 1.6293 (1.4066) Prec@1 65.625 (67.494) Prec@5 80.469 (86.329) Epoch: [66][5090/10010] Time 0.325 (0.327) Data 0.001 (0.001) Loss 1.1715 (1.4065) Prec@1 71.875 (67.493) Prec@5 89.844 (86.331) Epoch: [66][5100/10010] Time 0.313 (0.327) Data 0.001 (0.001) Loss 1.8327 (1.4065) Prec@1 58.594 (67.496) Prec@5 81.250 (86.332) Epoch: [66][5110/10010] Time 0.339 (0.327) Data 0.001 (0.001) Loss 1.3018 (1.4066) Prec@1 72.656 (67.495) Prec@5 87.500 (86.332) Epoch: [66][5120/10010] Time 0.323 (0.327) Data 0.001 (0.001) Loss 1.5691 (1.4067) Prec@1 62.500 (67.494) Prec@5 84.375 (86.328) Epoch: [66][5130/10010] Time 0.320 (0.327) Data 0.001 (0.001) Loss 1.3795 (1.4065) Prec@1 67.188 (67.495) Prec@5 85.156 (86.330) Epoch: [66][5140/10010] Time 0.327 (0.327) Data 0.001 (0.001) Loss 1.5402 (1.4066) Prec@1 60.156 (67.489) Prec@5 84.375 (86.329) Epoch: [66][5150/10010] Time 0.318 (0.327) Data 0.001 (0.001) Loss 1.4718 (1.4068) Prec@1 67.188 (67.486) Prec@5 88.281 (86.328) Epoch: [66][5160/10010] Time 0.328 (0.327) Data 0.001 (0.001) Loss 1.3092 (1.4067) Prec@1 71.875 (67.484) Prec@5 89.844 (86.330) Epoch: [66][5170/10010] Time 0.328 (0.327) Data 0.001 (0.001) Loss 1.6952 (1.4068) Prec@1 60.938 (67.483) Prec@5 82.031 (86.330) Epoch: [66][5180/10010] Time 0.326 (0.327) Data 0.001 (0.001) Loss 1.3118 (1.4068) Prec@1 71.094 (67.481) Prec@5 89.062 (86.331) Epoch: [66][5190/10010] Time 0.326 (0.327) Data 0.001 (0.001) Loss 1.1935 (1.4068) Prec@1 71.875 (67.481) Prec@5 89.062 (86.331) Epoch: [66][5200/10010] Time 0.315 (0.327) Data 0.001 (0.001) Loss 1.3887 (1.4069) Prec@1 69.531 (67.481) Prec@5 85.938 (86.329) Epoch: [66][5210/10010] Time 0.324 (0.327) Data 0.001 (0.001) Loss 1.2385 (1.4069) Prec@1 70.312 (67.478) Prec@5 91.406 (86.328) Epoch: [66][5220/10010] Time 0.318 (0.327) Data 0.001 (0.001) Loss 1.7307 (1.4070) Prec@1 60.156 (67.478) Prec@5 78.906 (86.327) Epoch: [66][5230/10010] Time 0.318 (0.327) Data 0.001 (0.001) Loss 1.2974 (1.4071) Prec@1 68.750 (67.478) Prec@5 88.281 (86.326) Epoch: [66][5240/10010] Time 0.328 (0.327) Data 0.000 (0.001) Loss 1.1905 (1.4071) Prec@1 72.656 (67.474) Prec@5 89.062 (86.324) Epoch: [66][5250/10010] Time 0.341 (0.327) Data 0.001 (0.001) Loss 1.3345 (1.4071) Prec@1 65.625 (67.474) Prec@5 89.062 (86.325) Epoch: [66][5260/10010] Time 0.319 (0.327) Data 0.001 (0.001) Loss 1.3405 (1.4072) Prec@1 62.500 (67.471) Prec@5 87.500 (86.323) Epoch: [66][5270/10010] Time 0.313 (0.327) Data 0.001 (0.001) Loss 1.3621 (1.4073) Prec@1 72.656 (67.470) Prec@5 83.594 (86.321) Epoch: [66][5280/10010] Time 0.338 (0.327) Data 0.001 (0.001) Loss 1.5982 (1.4073) Prec@1 62.500 (67.470) Prec@5 82.031 (86.320) Epoch: [66][5290/10010] Time 0.333 (0.327) Data 0.000 (0.001) Loss 1.3426 (1.4073) Prec@1 67.969 (67.469) Prec@5 88.281 (86.322) Epoch: [66][5300/10010] Time 0.336 (0.327) Data 0.001 (0.001) Loss 1.4600 (1.4073) Prec@1 67.969 (67.468) Prec@5 85.938 (86.321) Epoch: [66][5310/10010] Time 0.315 (0.327) Data 0.001 (0.001) Loss 1.5081 (1.4073) Prec@1 64.844 (67.470) Prec@5 86.719 (86.323) Epoch: [66][5320/10010] Time 0.332 (0.327) Data 0.001 (0.001) Loss 1.4732 (1.4074) Prec@1 65.625 (67.468) Prec@5 84.375 (86.323) Epoch: [66][5330/10010] Time 0.319 (0.327) Data 0.001 (0.001) Loss 1.4999 (1.4074) Prec@1 67.969 (67.467) Prec@5 85.938 (86.321) Epoch: [66][5340/10010] Time 0.320 (0.327) Data 0.000 (0.001) Loss 1.1927 (1.4074) Prec@1 72.656 (67.469) Prec@5 89.844 (86.322) Epoch: [66][5350/10010] Time 0.339 (0.327) Data 0.001 (0.001) Loss 1.2965 (1.4074) Prec@1 71.094 (67.469) Prec@5 87.500 (86.323) Epoch: [66][5360/10010] Time 0.317 (0.327) Data 0.001 (0.001) Loss 1.4806 (1.4074) Prec@1 64.062 (67.465) Prec@5 85.938 (86.321) Epoch: [66][5370/10010] Time 0.316 (0.327) Data 0.001 (0.001) Loss 1.2821 (1.4075) Prec@1 68.750 (67.462) Prec@5 89.062 (86.320) Epoch: [66][5380/10010] Time 0.326 (0.327) Data 0.000 (0.001) Loss 1.2626 (1.4076) Prec@1 71.875 (67.464) Prec@5 89.844 (86.319) Epoch: [66][5390/10010] Time 0.330 (0.327) Data 0.001 (0.001) Loss 1.3227 (1.4074) Prec@1 65.625 (67.465) Prec@5 89.062 (86.324) Epoch: [66][5400/10010] Time 0.336 (0.327) Data 0.001 (0.001) Loss 1.4540 (1.4076) Prec@1 72.656 (67.466) Prec@5 85.156 (86.323) Epoch: [66][5410/10010] Time 0.339 (0.327) Data 0.001 (0.001) Loss 1.4322 (1.4076) Prec@1 64.062 (67.464) Prec@5 88.281 (86.322) Epoch: [66][5420/10010] Time 0.320 (0.327) Data 0.001 (0.001) Loss 1.1194 (1.4076) Prec@1 72.656 (67.463) Prec@5 91.406 (86.321) Epoch: [66][5430/10010] Time 0.336 (0.327) Data 0.001 (0.001) Loss 1.3588 (1.4076) Prec@1 69.531 (67.465) Prec@5 87.500 (86.323) Epoch: [66][5440/10010] Time 0.341 (0.327) Data 0.000 (0.001) Loss 1.1865 (1.4077) Prec@1 70.312 (67.462) Prec@5 87.500 (86.321) Epoch: [66][5450/10010] Time 0.339 (0.327) Data 0.001 (0.001) Loss 1.2906 (1.4077) Prec@1 73.438 (67.465) Prec@5 92.188 (86.322) Epoch: [66][5460/10010] Time 0.330 (0.327) Data 0.001 (0.001) Loss 1.4426 (1.4077) Prec@1 57.812 (67.465) Prec@5 85.156 (86.322) Epoch: [66][5470/10010] Time 0.327 (0.327) Data 0.000 (0.001) Loss 1.3717 (1.4077) Prec@1 67.969 (67.464) Prec@5 88.281 (86.320) Epoch: [66][5480/10010] Time 0.341 (0.327) Data 0.001 (0.001) Loss 1.2899 (1.4076) Prec@1 75.781 (67.468) Prec@5 89.844 (86.321) Epoch: [66][5490/10010] Time 0.316 (0.327) Data 0.000 (0.001) Loss 1.6320 (1.4076) Prec@1 58.594 (67.468) Prec@5 85.938 (86.321) Epoch: [66][5500/10010] Time 0.320 (0.327) Data 0.001 (0.001) Loss 1.4478 (1.4078) Prec@1 66.406 (67.466) Prec@5 83.594 (86.320) Epoch: [66][5510/10010] Time 0.311 (0.327) Data 0.001 (0.001) Loss 1.5299 (1.4078) Prec@1 60.938 (67.463) Prec@5 83.594 (86.318) Epoch: [66][5520/10010] Time 0.329 (0.327) Data 0.001 (0.001) Loss 1.4214 (1.4077) Prec@1 67.188 (67.463) Prec@5 89.844 (86.320) Epoch: [66][5530/10010] Time 0.325 (0.327) Data 0.001 (0.001) Loss 1.3736 (1.4078) Prec@1 70.312 (67.461) Prec@5 88.281 (86.320) Epoch: [66][5540/10010] Time 0.330 (0.327) Data 0.001 (0.001) Loss 1.2454 (1.4077) Prec@1 72.656 (67.461) Prec@5 94.531 (86.321) Epoch: [66][5550/10010] Time 0.339 (0.327) Data 0.001 (0.001) Loss 1.5659 (1.4077) Prec@1 66.406 (67.463) Prec@5 81.250 (86.321) Epoch: [66][5560/10010] Time 0.337 (0.327) Data 0.001 (0.001) Loss 1.4092 (1.4075) Prec@1 67.188 (67.466) Prec@5 85.938 (86.322) Epoch: [66][5570/10010] Time 0.341 (0.327) Data 0.000 (0.001) Loss 1.5948 (1.4076) Prec@1 65.625 (67.463) Prec@5 82.031 (86.321) Epoch: [66][5580/10010] Time 0.332 (0.327) Data 0.001 (0.001) Loss 1.4119 (1.4075) Prec@1 68.750 (67.465) Prec@5 84.375 (86.322) Epoch: [66][5590/10010] Time 0.331 (0.327) Data 0.001 (0.001) Loss 1.2020 (1.4074) Prec@1 72.656 (67.467) Prec@5 89.844 (86.322) Epoch: [66][5600/10010] Time 0.321 (0.327) Data 0.001 (0.001) Loss 1.4122 (1.4074) Prec@1 67.188 (67.465) Prec@5 84.375 (86.320) Epoch: [66][5610/10010] Time 0.324 (0.327) Data 0.001 (0.001) Loss 1.4575 (1.4074) Prec@1 63.281 (67.469) Prec@5 84.375 (86.319) Epoch: [66][5620/10010] Time 0.325 (0.327) Data 0.001 (0.001) Loss 1.2390 (1.4073) Prec@1 68.750 (67.472) Prec@5 87.500 (86.320) Epoch: [66][5630/10010] Time 0.316 (0.327) Data 0.000 (0.001) Loss 1.2536 (1.4073) Prec@1 66.406 (67.470) Prec@5 89.062 (86.318) Epoch: [66][5640/10010] Time 0.314 (0.327) Data 0.001 (0.001) Loss 1.2786 (1.4073) Prec@1 69.531 (67.468) Prec@5 88.281 (86.318) Epoch: [66][5650/10010] Time 0.336 (0.327) Data 0.001 (0.001) Loss 1.3300 (1.4074) Prec@1 67.969 (67.466) Prec@5 87.500 (86.318) Epoch: [66][5660/10010] Time 0.313 (0.327) Data 0.001 (0.001) Loss 1.4864 (1.4074) Prec@1 70.312 (67.466) Prec@5 87.500 (86.317) Epoch: [66][5670/10010] Time 0.322 (0.327) Data 0.001 (0.001) Loss 1.1602 (1.4074) Prec@1 71.875 (67.467) Prec@5 89.062 (86.317) Epoch: [66][5680/10010] Time 0.316 (0.327) Data 0.001 (0.001) Loss 1.4237 (1.4075) Prec@1 69.531 (67.465) Prec@5 85.938 (86.317) Epoch: [66][5690/10010] Time 0.333 (0.327) Data 0.001 (0.001) Loss 1.3385 (1.4076) Prec@1 67.969 (67.459) Prec@5 87.500 (86.314) Epoch: [66][5700/10010] Time 0.322 (0.327) Data 0.001 (0.001) Loss 1.2445 (1.4074) Prec@1 75.781 (67.465) Prec@5 89.844 (86.316) Epoch: [66][5710/10010] Time 0.327 (0.327) Data 0.000 (0.001) Loss 1.6157 (1.4075) Prec@1 68.750 (67.467) Prec@5 81.250 (86.315) Epoch: [66][5720/10010] Time 0.320 (0.327) Data 0.001 (0.001) Loss 1.5643 (1.4076) Prec@1 62.500 (67.465) Prec@5 82.812 (86.314) Epoch: [66][5730/10010] Time 0.316 (0.327) Data 0.001 (0.001) Loss 1.2683 (1.4075) Prec@1 70.312 (67.466) Prec@5 89.062 (86.315) Epoch: [66][5740/10010] Time 0.337 (0.327) Data 0.001 (0.001) Loss 1.6397 (1.4075) Prec@1 61.719 (67.466) Prec@5 82.812 (86.315) Epoch: [66][5750/10010] Time 0.314 (0.327) Data 0.001 (0.001) Loss 1.0603 (1.4075) Prec@1 75.781 (67.468) Prec@5 90.625 (86.314) Epoch: [66][5760/10010] Time 0.316 (0.327) Data 0.000 (0.001) Loss 1.3318 (1.4076) Prec@1 66.406 (67.465) Prec@5 84.375 (86.313) Epoch: [66][5770/10010] Time 0.334 (0.327) Data 0.001 (0.001) Loss 1.3505 (1.4076) Prec@1 66.406 (67.463) Prec@5 85.938 (86.311) Epoch: [66][5780/10010] Time 0.339 (0.327) Data 0.001 (0.001) Loss 1.4584 (1.4078) Prec@1 63.281 (67.459) Prec@5 85.938 (86.308) Epoch: [66][5790/10010] Time 0.335 (0.327) Data 0.001 (0.001) Loss 1.2842 (1.4077) Prec@1 68.750 (67.462) Prec@5 88.281 (86.309) Epoch: [66][5800/10010] Time 0.318 (0.327) Data 0.001 (0.001) Loss 1.2748 (1.4077) Prec@1 73.438 (67.461) Prec@5 86.719 (86.310) Epoch: [66][5810/10010] Time 0.334 (0.327) Data 0.001 (0.001) Loss 1.5373 (1.4078) Prec@1 65.625 (67.460) Prec@5 80.469 (86.308) Epoch: [66][5820/10010] Time 0.318 (0.327) Data 0.001 (0.001) Loss 1.4720 (1.4079) Prec@1 63.281 (67.455) Prec@5 85.156 (86.305) Epoch: [66][5830/10010] Time 0.324 (0.327) Data 0.001 (0.001) Loss 1.5143 (1.4079) Prec@1 65.625 (67.455) Prec@5 85.156 (86.306) Epoch: [66][5840/10010] Time 0.323 (0.327) Data 0.001 (0.001) Loss 1.0783 (1.4078) Prec@1 74.219 (67.453) Prec@5 91.406 (86.305) Epoch: [66][5850/10010] Time 0.308 (0.327) Data 0.001 (0.001) Loss 1.3913 (1.4076) Prec@1 67.969 (67.456) Prec@5 86.719 (86.308) Epoch: [66][5860/10010] Time 0.321 (0.327) Data 0.001 (0.001) Loss 1.2902 (1.4076) Prec@1 67.969 (67.457) Prec@5 88.281 (86.308) Epoch: [66][5870/10010] Time 0.327 (0.327) Data 0.000 (0.001) Loss 1.5491 (1.4077) Prec@1 66.406 (67.457) Prec@5 85.938 (86.306) Epoch: [66][5880/10010] Time 0.330 (0.327) Data 0.000 (0.001) Loss 1.2204 (1.4078) Prec@1 73.438 (67.457) Prec@5 91.406 (86.306) Epoch: [66][5890/10010] Time 0.320 (0.327) Data 0.000 (0.001) Loss 1.4284 (1.4079) Prec@1 61.719 (67.453) Prec@5 85.156 (86.304) Epoch: [66][5900/10010] Time 0.335 (0.327) Data 0.001 (0.001) Loss 1.3261 (1.4079) Prec@1 65.625 (67.453) Prec@5 85.938 (86.305) Epoch: [66][5910/10010] Time 0.314 (0.327) Data 0.000 (0.001) Loss 1.3233 (1.4078) Prec@1 70.312 (67.453) Prec@5 87.500 (86.307) Epoch: [66][5920/10010] Time 0.331 (0.327) Data 0.001 (0.001) Loss 1.5881 (1.4078) Prec@1 59.375 (67.451) Prec@5 84.375 (86.307) Epoch: [66][5930/10010] Time 0.342 (0.327) Data 0.000 (0.001) Loss 1.1276 (1.4078) Prec@1 77.344 (67.453) Prec@5 89.062 (86.306) Epoch: [66][5940/10010] Time 0.335 (0.327) Data 0.001 (0.001) Loss 1.7161 (1.4081) Prec@1 58.594 (67.447) Prec@5 78.125 (86.299) Epoch: [66][5950/10010] Time 0.315 (0.327) Data 0.001 (0.001) Loss 1.5547 (1.4081) Prec@1 60.938 (67.447) Prec@5 86.719 (86.300) Epoch: [66][5960/10010] Time 0.339 (0.327) Data 0.000 (0.001) Loss 1.3332 (1.4081) Prec@1 67.188 (67.445) Prec@5 88.281 (86.299) Epoch: [66][5970/10010] Time 0.322 (0.327) Data 0.001 (0.001) Loss 1.2171 (1.4082) Prec@1 70.312 (67.445) Prec@5 89.062 (86.300) Epoch: [66][5980/10010] Time 0.321 (0.327) Data 0.001 (0.001) Loss 1.5992 (1.4082) Prec@1 64.062 (67.443) Prec@5 79.688 (86.299) Epoch: [66][5990/10010] Time 0.319 (0.327) Data 0.001 (0.001) Loss 1.3870 (1.4082) Prec@1 64.062 (67.443) Prec@5 85.938 (86.298) Epoch: [66][6000/10010] Time 0.336 (0.327) Data 0.001 (0.001) Loss 1.3912 (1.4083) Prec@1 64.844 (67.442) Prec@5 87.500 (86.296) Epoch: [66][6010/10010] Time 0.328 (0.327) Data 0.001 (0.001) Loss 1.1915 (1.4082) Prec@1 67.188 (67.440) Prec@5 90.625 (86.296) Epoch: [66][6020/10010] Time 0.320 (0.327) Data 0.000 (0.001) Loss 1.5735 (1.4082) Prec@1 63.281 (67.442) Prec@5 82.031 (86.297) Epoch: [66][6030/10010] Time 0.317 (0.327) Data 0.001 (0.001) Loss 1.3127 (1.4081) Prec@1 70.312 (67.443) Prec@5 87.500 (86.299) Epoch: [66][6040/10010] Time 0.320 (0.327) Data 0.000 (0.001) Loss 1.4042 (1.4081) Prec@1 64.062 (67.443) Prec@5 86.719 (86.298) Epoch: [66][6050/10010] Time 0.328 (0.327) Data 0.001 (0.001) Loss 1.6280 (1.4082) Prec@1 63.281 (67.442) Prec@5 82.031 (86.297) Epoch: [66][6060/10010] Time 0.319 (0.327) Data 0.001 (0.001) Loss 1.3114 (1.4081) Prec@1 67.188 (67.443) Prec@5 89.062 (86.298) Epoch: [66][6070/10010] Time 0.324 (0.327) Data 0.000 (0.001) Loss 1.1726 (1.4081) Prec@1 70.312 (67.444) Prec@5 92.969 (86.299) Epoch: [66][6080/10010] Time 0.337 (0.327) Data 0.001 (0.001) Loss 1.6356 (1.4083) Prec@1 67.188 (67.443) Prec@5 82.812 (86.294) Epoch: [66][6090/10010] Time 0.320 (0.327) Data 0.000 (0.001) Loss 1.3251 (1.4083) Prec@1 70.312 (67.444) Prec@5 87.500 (86.296) Epoch: [66][6100/10010] Time 0.318 (0.327) Data 0.000 (0.001) Loss 1.3667 (1.4082) Prec@1 65.625 (67.444) Prec@5 86.719 (86.296) Epoch: [66][6110/10010] Time 0.331 (0.327) Data 0.001 (0.001) Loss 1.2927 (1.4082) Prec@1 70.312 (67.444) Prec@5 86.719 (86.297) Epoch: [66][6120/10010] Time 0.324 (0.327) Data 0.001 (0.001) Loss 1.6696 (1.4084) Prec@1 63.281 (67.440) Prec@5 82.812 (86.293) Epoch: [66][6130/10010] Time 0.337 (0.327) Data 0.004 (0.001) Loss 1.4277 (1.4082) Prec@1 66.406 (67.443) Prec@5 85.938 (86.295) Epoch: [66][6140/10010] Time 0.335 (0.327) Data 0.001 (0.001) Loss 1.2027 (1.4082) Prec@1 70.312 (67.442) Prec@5 88.281 (86.296) Epoch: [66][6150/10010] Time 0.334 (0.327) Data 0.000 (0.001) Loss 1.5991 (1.4082) Prec@1 63.281 (67.442) Prec@5 85.156 (86.296) Epoch: [66][6160/10010] Time 0.327 (0.327) Data 0.001 (0.001) Loss 1.4997 (1.4082) Prec@1 65.625 (67.441) Prec@5 83.594 (86.297) Epoch: [66][6170/10010] Time 0.320 (0.327) Data 0.000 (0.001) Loss 1.4222 (1.4082) Prec@1 66.406 (67.441) Prec@5 86.719 (86.296) Epoch: [66][6180/10010] Time 0.322 (0.327) Data 0.001 (0.001) Loss 1.3511 (1.4081) Prec@1 66.406 (67.442) Prec@5 88.281 (86.296) Epoch: [66][6190/10010] Time 0.316 (0.327) Data 0.001 (0.001) Loss 1.1760 (1.4081) Prec@1 74.219 (67.442) Prec@5 87.500 (86.294) Epoch: [66][6200/10010] Time 0.313 (0.327) Data 0.000 (0.001) Loss 1.8350 (1.4081) Prec@1 61.719 (67.443) Prec@5 82.812 (86.295) Epoch: [66][6210/10010] Time 0.339 (0.327) Data 0.001 (0.001) Loss 1.5484 (1.4082) Prec@1 67.969 (67.442) Prec@5 82.031 (86.293) Epoch: [66][6220/10010] Time 0.321 (0.327) Data 0.001 (0.001) Loss 1.7620 (1.4083) Prec@1 61.719 (67.438) Prec@5 83.594 (86.290) Epoch: [66][6230/10010] Time 0.328 (0.327) Data 0.001 (0.001) Loss 1.3192 (1.4083) Prec@1 69.531 (67.439) Prec@5 86.719 (86.290) Epoch: [66][6240/10010] Time 0.321 (0.327) Data 0.001 (0.001) Loss 1.6237 (1.4083) Prec@1 65.625 (67.437) Prec@5 80.469 (86.291) Epoch: [66][6250/10010] Time 0.321 (0.327) Data 0.003 (0.001) Loss 1.1163 (1.4082) Prec@1 71.875 (67.441) Prec@5 89.062 (86.293) Epoch: [66][6260/10010] Time 0.326 (0.327) Data 0.000 (0.001) Loss 1.6841 (1.4082) Prec@1 58.594 (67.441) Prec@5 84.375 (86.294) Epoch: [66][6270/10010] Time 0.315 (0.327) Data 0.001 (0.001) Loss 1.5005 (1.4081) Prec@1 65.625 (67.444) Prec@5 87.500 (86.295) Epoch: [66][6280/10010] Time 0.326 (0.327) Data 0.000 (0.001) Loss 1.4699 (1.4082) Prec@1 67.969 (67.444) Prec@5 85.156 (86.295) Epoch: [66][6290/10010] Time 0.318 (0.327) Data 0.001 (0.001) Loss 1.8961 (1.4083) Prec@1 60.156 (67.441) Prec@5 78.125 (86.293) Epoch: [66][6300/10010] Time 0.321 (0.327) Data 0.000 (0.001) Loss 1.4324 (1.4082) Prec@1 65.625 (67.440) Prec@5 89.062 (86.295) Epoch: [66][6310/10010] Time 0.328 (0.327) Data 0.001 (0.001) Loss 1.4083 (1.4082) Prec@1 69.531 (67.437) Prec@5 83.594 (86.295) Epoch: [66][6320/10010] Time 0.341 (0.327) Data 0.001 (0.001) Loss 1.6152 (1.4084) Prec@1 62.500 (67.434) Prec@5 86.719 (86.295) Epoch: [66][6330/10010] Time 0.319 (0.327) Data 0.001 (0.001) Loss 1.2657 (1.4084) Prec@1 70.312 (67.434) Prec@5 87.500 (86.294) Epoch: [66][6340/10010] Time 0.313 (0.327) Data 0.001 (0.001) Loss 1.2619 (1.4082) Prec@1 67.969 (67.437) Prec@5 89.844 (86.298) Epoch: [66][6350/10010] Time 0.334 (0.327) Data 0.001 (0.001) Loss 1.3233 (1.4082) Prec@1 67.188 (67.436) Prec@5 86.719 (86.297) Epoch: [66][6360/10010] Time 0.320 (0.327) Data 0.000 (0.001) Loss 1.3196 (1.4083) Prec@1 69.531 (67.435) Prec@5 85.938 (86.296) Epoch: [66][6370/10010] Time 0.322 (0.327) Data 0.001 (0.001) Loss 1.5317 (1.4082) Prec@1 64.062 (67.434) Prec@5 82.812 (86.297) Epoch: [66][6380/10010] Time 0.326 (0.327) Data 0.001 (0.001) Loss 1.4743 (1.4082) Prec@1 67.969 (67.436) Prec@5 86.719 (86.297) Epoch: [66][6390/10010] Time 0.339 (0.327) Data 0.001 (0.001) Loss 1.5331 (1.4082) Prec@1 65.625 (67.435) Prec@5 87.500 (86.298) Epoch: [66][6400/10010] Time 0.334 (0.327) Data 0.001 (0.001) Loss 1.2459 (1.4082) Prec@1 67.188 (67.433) Prec@5 91.406 (86.300) Epoch: [66][6410/10010] Time 0.313 (0.327) Data 0.001 (0.001) Loss 1.3732 (1.4081) Prec@1 67.969 (67.435) Prec@5 85.938 (86.300) Epoch: [66][6420/10010] Time 0.337 (0.327) Data 0.001 (0.001) Loss 1.3737 (1.4082) Prec@1 68.750 (67.432) Prec@5 88.281 (86.300) Epoch: [66][6430/10010] Time 0.319 (0.327) Data 0.000 (0.001) Loss 1.5076 (1.4083) Prec@1 63.281 (67.431) Prec@5 84.375 (86.299) Epoch: [66][6440/10010] Time 0.324 (0.327) Data 0.000 (0.001) Loss 1.2546 (1.4084) Prec@1 69.531 (67.429) Prec@5 89.844 (86.297) Epoch: [66][6450/10010] Time 0.333 (0.327) Data 0.001 (0.001) Loss 1.2783 (1.4084) Prec@1 66.406 (67.429) Prec@5 89.062 (86.300) Epoch: [66][6460/10010] Time 0.312 (0.327) Data 0.001 (0.001) Loss 1.4400 (1.4083) Prec@1 67.188 (67.430) Prec@5 85.938 (86.301) Epoch: [66][6470/10010] Time 0.338 (0.327) Data 0.000 (0.001) Loss 1.4866 (1.4083) Prec@1 65.625 (67.430) Prec@5 82.812 (86.302) Epoch: [66][6480/10010] Time 0.328 (0.327) Data 0.000 (0.001) Loss 1.2486 (1.4082) Prec@1 71.875 (67.430) Prec@5 87.500 (86.303) Epoch: [66][6490/10010] Time 0.315 (0.327) Data 0.001 (0.001) Loss 1.4384 (1.4082) Prec@1 71.875 (67.434) Prec@5 82.812 (86.303) Epoch: [66][6500/10010] Time 0.329 (0.327) Data 0.000 (0.001) Loss 1.6216 (1.4080) Prec@1 64.062 (67.439) Prec@5 83.594 (86.305) Epoch: [66][6510/10010] Time 0.338 (0.327) Data 0.001 (0.001) Loss 1.3688 (1.4080) Prec@1 70.312 (67.437) Prec@5 86.719 (86.306) Epoch: [66][6520/10010] Time 0.341 (0.327) Data 0.000 (0.001) Loss 1.4189 (1.4080) Prec@1 62.500 (67.437) Prec@5 85.156 (86.306) Epoch: [66][6530/10010] Time 0.322 (0.327) Data 0.001 (0.001) Loss 1.1428 (1.4080) Prec@1 74.219 (67.438) Prec@5 90.625 (86.305) Epoch: [66][6540/10010] Time 0.339 (0.327) Data 0.001 (0.001) Loss 1.3727 (1.4078) Prec@1 72.656 (67.440) Prec@5 86.719 (86.307) Epoch: [66][6550/10010] Time 0.320 (0.327) Data 0.001 (0.001) Loss 1.3407 (1.4077) Prec@1 62.500 (67.440) Prec@5 89.062 (86.309) Epoch: [66][6560/10010] Time 0.341 (0.327) Data 0.001 (0.001) Loss 1.5424 (1.4078) Prec@1 68.750 (67.438) Prec@5 88.281 (86.310) Epoch: [66][6570/10010] Time 0.325 (0.327) Data 0.001 (0.001) Loss 1.5321 (1.4077) Prec@1 64.062 (67.439) Prec@5 85.156 (86.310) Epoch: [66][6580/10010] Time 0.311 (0.327) Data 0.001 (0.001) Loss 1.3706 (1.4076) Prec@1 73.438 (67.443) Prec@5 85.156 (86.312) Epoch: [66][6590/10010] Time 0.334 (0.327) Data 0.001 (0.001) Loss 1.3848 (1.4076) Prec@1 67.969 (67.445) Prec@5 83.594 (86.313) Epoch: [66][6600/10010] Time 0.312 (0.327) Data 0.001 (0.001) Loss 1.2025 (1.4075) Prec@1 70.312 (67.446) Prec@5 88.281 (86.313) Epoch: [66][6610/10010] Time 0.336 (0.327) Data 0.001 (0.001) Loss 1.5975 (1.4075) Prec@1 66.406 (67.448) Prec@5 83.594 (86.314) Epoch: [66][6620/10010] Time 0.317 (0.327) Data 0.001 (0.001) Loss 1.2151 (1.4074) Prec@1 74.219 (67.452) Prec@5 91.406 (86.316) Epoch: [66][6630/10010] Time 0.311 (0.327) Data 0.001 (0.001) Loss 1.5792 (1.4076) Prec@1 64.844 (67.452) Prec@5 82.812 (86.313) Epoch: [66][6640/10010] Time 0.338 (0.327) Data 0.001 (0.001) Loss 1.4090 (1.4076) Prec@1 64.844 (67.449) Prec@5 86.719 (86.312) Epoch: [66][6650/10010] Time 0.318 (0.327) Data 0.001 (0.001) Loss 1.5621 (1.4076) Prec@1 63.281 (67.449) Prec@5 83.594 (86.312) Epoch: [66][6660/10010] Time 0.320 (0.327) Data 0.001 (0.001) Loss 1.5627 (1.4075) Prec@1 65.625 (67.450) Prec@5 81.250 (86.314) Epoch: [66][6670/10010] Time 0.326 (0.327) Data 0.001 (0.001) Loss 1.5344 (1.4076) Prec@1 65.625 (67.449) Prec@5 84.375 (86.313) Epoch: [66][6680/10010] Time 0.331 (0.327) Data 0.000 (0.001) Loss 1.3366 (1.4076) Prec@1 66.406 (67.449) Prec@5 88.281 (86.315) Epoch: [66][6690/10010] Time 0.321 (0.327) Data 0.000 (0.001) Loss 1.2716 (1.4076) Prec@1 72.656 (67.448) Prec@5 88.281 (86.314) Epoch: [66][6700/10010] Time 0.313 (0.327) Data 0.001 (0.001) Loss 1.7308 (1.4077) Prec@1 63.281 (67.448) Prec@5 80.469 (86.312) Epoch: [66][6710/10010] Time 0.321 (0.327) Data 0.000 (0.001) Loss 1.4064 (1.4077) Prec@1 62.500 (67.444) Prec@5 88.281 (86.314) Epoch: [66][6720/10010] Time 0.317 (0.327) Data 0.001 (0.001) Loss 1.2420 (1.4078) Prec@1 70.312 (67.444) Prec@5 85.938 (86.313) Epoch: [66][6730/10010] Time 0.324 (0.327) Data 0.000 (0.001) Loss 1.3789 (1.4078) Prec@1 71.094 (67.442) Prec@5 87.500 (86.311) Epoch: [66][6740/10010] Time 0.334 (0.327) Data 0.001 (0.001) Loss 1.4999 (1.4079) Prec@1 68.750 (67.443) Prec@5 85.156 (86.312) Epoch: [66][6750/10010] Time 0.318 (0.327) Data 0.000 (0.001) Loss 1.3841 (1.4078) Prec@1 66.406 (67.444) Prec@5 88.281 (86.313) Epoch: [66][6760/10010] Time 0.315 (0.327) Data 0.001 (0.001) Loss 1.2784 (1.4076) Prec@1 64.844 (67.446) Prec@5 89.844 (86.316) Epoch: [66][6770/10010] Time 0.317 (0.327) Data 0.000 (0.001) Loss 1.6873 (1.4076) Prec@1 65.625 (67.448) Prec@5 81.250 (86.317) Epoch: [66][6780/10010] Time 0.340 (0.327) Data 0.000 (0.001) Loss 1.7400 (1.4076) Prec@1 63.281 (67.448) Prec@5 79.688 (86.315) Epoch: [66][6790/10010] Time 0.330 (0.327) Data 0.000 (0.001) Loss 1.2678 (1.4075) Prec@1 72.656 (67.452) Prec@5 91.406 (86.317) Epoch: [66][6800/10010] Time 0.340 (0.327) Data 0.001 (0.001) Loss 1.1540 (1.4075) Prec@1 78.125 (67.452) Prec@5 91.406 (86.318) Epoch: [66][6810/10010] Time 0.321 (0.327) Data 0.001 (0.001) Loss 1.3279 (1.4076) Prec@1 67.188 (67.450) Prec@5 86.719 (86.317) Epoch: [66][6820/10010] Time 0.326 (0.327) Data 0.001 (0.001) Loss 1.5840 (1.4076) Prec@1 64.062 (67.449) Prec@5 83.594 (86.317) Epoch: [66][6830/10010] Time 0.338 (0.327) Data 0.001 (0.001) Loss 0.9199 (1.4074) Prec@1 81.250 (67.452) Prec@5 90.625 (86.320) Epoch: [66][6840/10010] Time 0.316 (0.327) Data 0.001 (0.001) Loss 1.4215 (1.4073) Prec@1 67.969 (67.454) Prec@5 88.281 (86.322) Epoch: [66][6850/10010] Time 0.323 (0.327) Data 0.001 (0.001) Loss 1.5401 (1.4074) Prec@1 66.406 (67.451) Prec@5 85.156 (86.321) Epoch: [66][6860/10010] Time 0.330 (0.327) Data 0.001 (0.001) Loss 1.4426 (1.4075) Prec@1 65.625 (67.448) Prec@5 85.938 (86.319) Epoch: [66][6870/10010] Time 0.340 (0.327) Data 0.000 (0.001) Loss 1.4531 (1.4075) Prec@1 67.188 (67.448) Prec@5 85.156 (86.320) Epoch: [66][6880/10010] Time 0.316 (0.327) Data 0.001 (0.001) Loss 1.7541 (1.4076) Prec@1 58.594 (67.446) Prec@5 82.812 (86.320) Epoch: [66][6890/10010] Time 0.315 (0.327) Data 0.000 (0.001) Loss 1.5506 (1.4077) Prec@1 64.062 (67.446) Prec@5 82.031 (86.320) Epoch: [66][6900/10010] Time 0.339 (0.327) Data 0.001 (0.001) Loss 1.4952 (1.4077) Prec@1 63.281 (67.444) Prec@5 88.281 (86.322) Epoch: [66][6910/10010] Time 0.324 (0.327) Data 0.001 (0.001) Loss 1.5854 (1.4077) Prec@1 67.188 (67.443) Prec@5 84.375 (86.320) Epoch: [66][6920/10010] Time 0.330 (0.327) Data 0.001 (0.001) Loss 1.1769 (1.4077) Prec@1 72.656 (67.443) Prec@5 91.406 (86.322) /data/vision/torralba/deepscene/lib/anaconda2/lib/python2.7/site-packages/PIL/TiffImagePlugin.py:692: UserWarning: Possibly corrupt EXIF data. Expecting to read 2555904 bytes but only got 0. Skipping tag 0 "Skipping tag %s" % (size, len(data), tag)) Epoch: [66][6930/10010] Time 0.313 (0.327) Data 0.001 (0.001) Loss 1.4672 (1.4075) Prec@1 64.844 (67.443) Prec@5 87.500 (86.324) Epoch: [66][6940/10010] Time 0.336 (0.327) Data 0.001 (0.001) Loss 1.6520 (1.4076) Prec@1 58.594 (67.440) Prec@5 82.812 (86.323) Epoch: [66][6950/10010] Time 0.332 (0.327) Data 0.001 (0.001) Loss 1.6082 (1.4076) Prec@1 61.719 (67.437) Prec@5 78.906 (86.322) Epoch: [66][6960/10010] Time 0.311 (0.327) Data 0.001 (0.001) Loss 1.5671 (1.4077) Prec@1 63.281 (67.437) Prec@5 82.031 (86.320) Epoch: [66][6970/10010] Time 0.313 (0.327) Data 0.001 (0.001) Loss 1.2113 (1.4077) Prec@1 69.531 (67.436) Prec@5 88.281 (86.321) Epoch: [66][6980/10010] Time 0.323 (0.327) Data 0.001 (0.001) Loss 1.2630 (1.4077) Prec@1 69.531 (67.437) Prec@5 87.500 (86.321) Epoch: [66][6990/10010] Time 0.331 (0.327) Data 0.000 (0.001) Loss 1.1712 (1.4076) Prec@1 74.219 (67.440) Prec@5 88.281 (86.322) Epoch: [66][7000/10010] Time 0.338 (0.327) Data 0.000 (0.001) Loss 1.2966 (1.4076) Prec@1 70.312 (67.439) Prec@5 88.281 (86.322) Epoch: [66][7010/10010] Time 0.321 (0.327) Data 0.000 (0.001) Loss 1.3799 (1.4075) Prec@1 71.875 (67.439) Prec@5 86.719 (86.323) Epoch: [66][7020/10010] Time 0.318 (0.327) Data 0.001 (0.001) Loss 1.4090 (1.4075) Prec@1 68.750 (67.441) Prec@5 86.719 (86.325) Epoch: [66][7030/10010] Time 0.336 (0.327) Data 0.001 (0.001) Loss 1.4967 (1.4075) Prec@1 64.844 (67.439) Prec@5 85.156 (86.326) Epoch: [66][7040/10010] Time 0.321 (0.327) Data 0.001 (0.001) Loss 1.3392 (1.4074) Prec@1 72.656 (67.439) Prec@5 85.156 (86.327) Epoch: [66][7050/10010] Time 0.325 (0.327) Data 0.000 (0.001) Loss 1.5643 (1.4074) Prec@1 63.281 (67.444) Prec@5 83.594 (86.327) Epoch: [66][7060/10010] Time 0.319 (0.327) Data 0.000 (0.001) Loss 1.3271 (1.4075) Prec@1 66.406 (67.440) Prec@5 87.500 (86.325) Epoch: [66][7070/10010] Time 0.321 (0.327) Data 0.001 (0.001) Loss 1.5973 (1.4074) Prec@1 62.500 (67.440) Prec@5 81.250 (86.324) Epoch: [66][7080/10010] Time 0.318 (0.327) Data 0.000 (0.001) Loss 1.4848 (1.4074) Prec@1 61.719 (67.440) Prec@5 88.281 (86.324) Epoch: [66][7090/10010] Time 0.318 (0.327) Data 0.001 (0.001) Loss 1.7844 (1.4073) Prec@1 59.375 (67.444) Prec@5 79.688 (86.326) Epoch: [66][7100/10010] Time 0.329 (0.327) Data 0.001 (0.001) Loss 1.3973 (1.4074) Prec@1 68.750 (67.443) Prec@5 85.938 (86.325) Epoch: [66][7110/10010] Time 0.317 (0.327) Data 0.001 (0.001) Loss 1.4840 (1.4074) Prec@1 67.969 (67.443) Prec@5 86.719 (86.325) Epoch: [66][7120/10010] Time 0.336 (0.327) Data 0.001 (0.001) Loss 1.6332 (1.4074) Prec@1 62.500 (67.442) Prec@5 82.812 (86.324) Epoch: [66][7130/10010] Time 0.323 (0.327) Data 0.001 (0.001) Loss 1.4557 (1.4074) Prec@1 68.750 (67.440) Prec@5 86.719 (86.323) Epoch: [66][7140/10010] Time 0.344 (0.327) Data 0.000 (0.001) Loss 1.1419 (1.4072) Prec@1 75.000 (67.445) Prec@5 92.969 (86.327) Epoch: [66][7150/10010] Time 0.323 (0.327) Data 0.003 (0.001) Loss 1.5062 (1.4072) Prec@1 64.844 (67.446) Prec@5 85.938 (86.327) Epoch: [66][7160/10010] Time 0.338 (0.327) Data 0.001 (0.001) Loss 1.1235 (1.4072) Prec@1 67.969 (67.445) Prec@5 89.062 (86.326) Epoch: [66][7170/10010] Time 0.319 (0.327) Data 0.001 (0.001) Loss 1.3009 (1.4072) Prec@1 71.094 (67.445) Prec@5 86.719 (86.325) Epoch: [66][7180/10010] Time 0.322 (0.327) Data 0.001 (0.001) Loss 1.3196 (1.4072) Prec@1 70.312 (67.447) Prec@5 89.062 (86.325) Epoch: [66][7190/10010] Time 0.326 (0.327) Data 0.001 (0.001) Loss 1.3331 (1.4073) Prec@1 65.625 (67.444) Prec@5 84.375 (86.323) Epoch: [66][7200/10010] Time 0.329 (0.327) Data 0.001 (0.001) Loss 1.5714 (1.4073) Prec@1 64.844 (67.442) Prec@5 79.688 (86.324) Epoch: [66][7210/10010] Time 0.328 (0.327) Data 0.001 (0.001) Loss 1.5461 (1.4074) Prec@1 65.625 (67.439) Prec@5 82.812 (86.321) Epoch: [66][7220/10010] Time 0.332 (0.327) Data 0.001 (0.001) Loss 1.1390 (1.4073) Prec@1 73.438 (67.441) Prec@5 89.844 (86.323) Epoch: [66][7230/10010] Time 0.316 (0.327) Data 0.001 (0.001) Loss 1.4855 (1.4074) Prec@1 61.719 (67.441) Prec@5 85.156 (86.322) Epoch: [66][7240/10010] Time 0.311 (0.327) Data 0.001 (0.001) Loss 1.3481 (1.4072) Prec@1 67.969 (67.447) Prec@5 89.062 (86.325) Epoch: [66][7250/10010] Time 0.321 (0.327) Data 0.001 (0.001) Loss 1.5114 (1.4071) Prec@1 67.188 (67.450) Prec@5 85.156 (86.326) Epoch: [66][7260/10010] Time 0.320 (0.327) Data 0.000 (0.001) Loss 1.4797 (1.4070) Prec@1 58.594 (67.450) Prec@5 84.375 (86.325) Epoch: [66][7270/10010] Time 0.325 (0.327) Data 0.001 (0.001) Loss 1.6275 (1.4071) Prec@1 60.938 (67.449) Prec@5 83.594 (86.323) Epoch: [66][7280/10010] Time 0.336 (0.327) Data 0.000 (0.001) Loss 1.2927 (1.4070) Prec@1 67.188 (67.451) Prec@5 89.844 (86.325) Epoch: [66][7290/10010] Time 0.321 (0.327) Data 0.001 (0.001) Loss 1.1079 (1.4070) Prec@1 72.656 (67.452) Prec@5 90.625 (86.324) Epoch: [66][7300/10010] Time 0.321 (0.327) Data 0.001 (0.001) Loss 1.1441 (1.4070) Prec@1 74.219 (67.453) Prec@5 89.062 (86.324) Epoch: [66][7310/10010] Time 0.329 (0.327) Data 0.000 (0.001) Loss 1.5539 (1.4070) Prec@1 68.750 (67.453) Prec@5 83.594 (86.325) Epoch: [66][7320/10010] Time 0.316 (0.327) Data 0.001 (0.001) Loss 1.3149 (1.4070) Prec@1 70.312 (67.454) Prec@5 85.938 (86.324) Epoch: [66][7330/10010] Time 0.333 (0.327) Data 0.000 (0.001) Loss 1.3697 (1.4069) Prec@1 67.969 (67.454) Prec@5 85.938 (86.325) Epoch: [66][7340/10010] Time 0.338 (0.327) Data 0.000 (0.001) Loss 1.2539 (1.4068) Prec@1 68.750 (67.457) Prec@5 85.156 (86.325) Epoch: [66][7350/10010] Time 0.334 (0.327) Data 0.001 (0.001) Loss 1.4838 (1.4069) Prec@1 65.625 (67.454) Prec@5 83.594 (86.325) Epoch: [66][7360/10010] Time 0.322 (0.327) Data 0.001 (0.001) Loss 1.6203 (1.4069) Prec@1 63.281 (67.453) Prec@5 82.031 (86.326) Epoch: [66][7370/10010] Time 0.314 (0.327) Data 0.001 (0.001) Loss 1.0548 (1.4069) Prec@1 78.125 (67.453) Prec@5 91.406 (86.324) Epoch: [66][7380/10010] Time 0.336 (0.327) Data 0.000 (0.001) Loss 1.2784 (1.4069) Prec@1 70.312 (67.454) Prec@5 88.281 (86.325) Epoch: [66][7390/10010] Time 0.342 (0.327) Data 0.001 (0.001) Loss 1.5541 (1.4069) Prec@1 67.188 (67.455) Prec@5 85.156 (86.323) Epoch: [66][7400/10010] Time 0.323 (0.327) Data 0.000 (0.001) Loss 1.8187 (1.4069) Prec@1 59.375 (67.455) Prec@5 75.781 (86.322) Epoch: [66][7410/10010] Time 0.337 (0.327) Data 0.001 (0.001) Loss 1.2764 (1.4070) Prec@1 71.875 (67.453) Prec@5 89.062 (86.320) Epoch: [66][7420/10010] Time 0.319 (0.327) Data 0.000 (0.001) Loss 1.1451 (1.4072) Prec@1 74.219 (67.450) Prec@5 87.500 (86.317) Epoch: [66][7430/10010] Time 0.319 (0.327) Data 0.001 (0.001) Loss 1.2397 (1.4072) Prec@1 70.312 (67.450) Prec@5 89.062 (86.317) Epoch: [66][7440/10010] Time 0.336 (0.327) Data 0.000 (0.001) Loss 1.7069 (1.4072) Prec@1 58.594 (67.448) Prec@5 80.469 (86.317) Epoch: [66][7450/10010] Time 0.330 (0.327) Data 0.001 (0.001) Loss 1.3961 (1.4071) Prec@1 67.188 (67.450) Prec@5 85.938 (86.318) Epoch: [66][7460/10010] Time 0.313 (0.327) Data 0.001 (0.001) Loss 1.5009 (1.4071) Prec@1 65.625 (67.451) Prec@5 85.156 (86.318) Epoch: [66][7470/10010] Time 0.339 (0.327) Data 0.001 (0.001) Loss 1.6332 (1.4070) Prec@1 63.281 (67.454) Prec@5 85.156 (86.318) Epoch: [66][7480/10010] Time 0.329 (0.327) Data 0.001 (0.001) Loss 1.5730 (1.4070) Prec@1 66.406 (67.455) Prec@5 84.375 (86.318) Epoch: [66][7490/10010] Time 0.344 (0.327) Data 0.000 (0.001) Loss 1.6018 (1.4071) Prec@1 58.594 (67.452) Prec@5 83.594 (86.318) Epoch: [66][7500/10010] Time 0.314 (0.327) Data 0.001 (0.001) Loss 1.2222 (1.4070) Prec@1 67.969 (67.453) Prec@5 89.062 (86.318) Epoch: [66][7510/10010] Time 0.332 (0.327) Data 0.001 (0.001) Loss 1.2763 (1.4070) Prec@1 74.219 (67.455) Prec@5 85.156 (86.319) Epoch: [66][7520/10010] Time 0.318 (0.327) Data 0.001 (0.001) Loss 1.5552 (1.4070) Prec@1 64.062 (67.453) Prec@5 83.594 (86.318) Epoch: [66][7530/10010] Time 0.321 (0.327) Data 0.000 (0.001) Loss 1.6137 (1.4071) Prec@1 64.844 (67.450) Prec@5 82.031 (86.317) Epoch: [66][7540/10010] Time 0.321 (0.327) Data 0.001 (0.001) Loss 2.0089 (1.4073) Prec@1 59.375 (67.448) Prec@5 76.562 (86.315) Epoch: [66][7550/10010] Time 0.315 (0.327) Data 0.001 (0.001) Loss 1.4298 (1.4072) Prec@1 67.188 (67.448) Prec@5 86.719 (86.317) Epoch: [66][7560/10010] Time 0.326 (0.327) Data 0.001 (0.001) Loss 1.3298 (1.4071) Prec@1 66.406 (67.449) Prec@5 86.719 (86.317) Epoch: [66][7570/10010] Time 0.324 (0.327) Data 0.000 (0.001) Loss 1.1927 (1.4071) Prec@1 73.438 (67.447) Prec@5 89.062 (86.316) Epoch: [66][7580/10010] Time 0.319 (0.327) Data 0.000 (0.001) Loss 1.3903 (1.4071) Prec@1 71.094 (67.445) Prec@5 82.812 (86.314) Epoch: [66][7590/10010] Time 0.328 (0.327) Data 0.001 (0.001) Loss 1.5558 (1.4071) Prec@1 65.625 (67.447) Prec@5 84.375 (86.315) Epoch: [66][7600/10010] Time 0.317 (0.327) Data 0.001 (0.001) Loss 1.2680 (1.4071) Prec@1 72.656 (67.446) Prec@5 88.281 (86.316) Epoch: [66][7610/10010] Time 0.314 (0.327) Data 0.001 (0.001) Loss 1.4335 (1.4071) Prec@1 65.625 (67.445) Prec@5 87.500 (86.317) Epoch: [66][7620/10010] Time 0.327 (0.327) Data 0.000 (0.001) Loss 1.4236 (1.4072) Prec@1 59.375 (67.443) Prec@5 88.281 (86.316) Epoch: [66][7630/10010] Time 0.312 (0.327) Data 0.001 (0.001) Loss 1.3747 (1.4071) Prec@1 67.188 (67.443) Prec@5 84.375 (86.316) Epoch: [66][7640/10010] Time 0.330 (0.327) Data 0.000 (0.001) Loss 1.1522 (1.4070) Prec@1 72.656 (67.445) Prec@5 90.625 (86.318) Epoch: [66][7650/10010] Time 0.315 (0.327) Data 0.001 (0.001) Loss 1.4438 (1.4071) Prec@1 62.500 (67.446) Prec@5 87.500 (86.318) Epoch: [66][7660/10010] Time 0.332 (0.327) Data 0.001 (0.001) Loss 1.3432 (1.4072) Prec@1 70.312 (67.446) Prec@5 85.938 (86.316) Epoch: [66][7670/10010] Time 0.318 (0.327) Data 0.001 (0.001) Loss 1.7375 (1.4073) Prec@1 57.031 (67.441) Prec@5 81.250 (86.315) Epoch: [66][7680/10010] Time 0.323 (0.327) Data 0.001 (0.001) Loss 1.0702 (1.4072) Prec@1 73.438 (67.440) Prec@5 92.969 (86.316) Epoch: [66][7690/10010] Time 0.315 (0.327) Data 0.001 (0.001) Loss 1.5798 (1.4073) Prec@1 63.281 (67.435) Prec@5 84.375 (86.314) Epoch: [66][7700/10010] Time 0.320 (0.327) Data 0.001 (0.001) Loss 1.2896 (1.4074) Prec@1 70.312 (67.436) Prec@5 89.062 (86.313) Epoch: [66][7710/10010] Time 0.333 (0.327) Data 0.001 (0.001) Loss 1.1867 (1.4073) Prec@1 74.219 (67.435) Prec@5 89.844 (86.315) Epoch: [66][7720/10010] Time 0.332 (0.327) Data 0.004 (0.001) Loss 1.3141 (1.4073) Prec@1 70.312 (67.436) Prec@5 86.719 (86.317) Epoch: [66][7730/10010] Time 0.339 (0.327) Data 0.001 (0.001) Loss 1.5296 (1.4073) Prec@1 64.062 (67.433) Prec@5 86.719 (86.316) Epoch: [66][7740/10010] Time 0.326 (0.327) Data 0.001 (0.001) Loss 1.4413 (1.4074) Prec@1 66.406 (67.432) Prec@5 87.500 (86.316) Epoch: [66][7750/10010] Time 0.319 (0.327) Data 0.000 (0.001) Loss 1.4472 (1.4073) Prec@1 67.188 (67.431) Prec@5 87.500 (86.315) Epoch: [66][7760/10010] Time 0.339 (0.327) Data 0.001 (0.001) Loss 1.4498 (1.4073) Prec@1 67.969 (67.432) Prec@5 84.375 (86.316) Epoch: [66][7770/10010] Time 0.324 (0.327) Data 0.001 (0.001) Loss 1.4324 (1.4073) Prec@1 64.062 (67.431) Prec@5 84.375 (86.316) Epoch: [66][7780/10010] Time 0.333 (0.327) Data 0.000 (0.001) Loss 1.2894 (1.4072) Prec@1 66.406 (67.433) Prec@5 89.062 (86.317) Epoch: [66][7790/10010] Time 0.310 (0.327) Data 0.001 (0.001) Loss 1.4531 (1.4070) Prec@1 66.406 (67.435) Prec@5 86.719 (86.320) Epoch: [66][7800/10010] Time 0.328 (0.327) Data 0.000 (0.001) Loss 1.5298 (1.4071) Prec@1 67.188 (67.434) Prec@5 85.156 (86.319) Epoch: [66][7810/10010] Time 0.326 (0.327) Data 0.000 (0.001) Loss 1.4426 (1.4071) Prec@1 68.750 (67.435) Prec@5 88.281 (86.319) Epoch: [66][7820/10010] Time 0.342 (0.327) Data 0.000 (0.001) Loss 1.5552 (1.4070) Prec@1 68.750 (67.435) Prec@5 83.594 (86.320) Epoch: [66][7830/10010] Time 0.320 (0.327) Data 0.001 (0.001) Loss 1.3273 (1.4071) Prec@1 67.969 (67.434) Prec@5 88.281 (86.319) Epoch: [66][7840/10010] Time 0.325 (0.327) Data 0.000 (0.001) Loss 1.4737 (1.4071) Prec@1 68.750 (67.432) Prec@5 84.375 (86.317) Epoch: [66][7850/10010] Time 0.332 (0.327) Data 0.001 (0.001) Loss 1.4595 (1.4071) Prec@1 67.188 (67.433) Prec@5 89.062 (86.319) Epoch: [66][7860/10010] Time 0.333 (0.327) Data 0.001 (0.001) Loss 1.3375 (1.4071) Prec@1 67.188 (67.433) Prec@5 87.500 (86.319) Epoch: [66][7870/10010] Time 0.320 (0.327) Data 0.001 (0.001) Loss 1.7746 (1.4071) Prec@1 64.844 (67.434) Prec@5 78.906 (86.319) Epoch: [66][7880/10010] Time 0.315 (0.327) Data 0.001 (0.001) Loss 1.2632 (1.4071) Prec@1 74.219 (67.434) Prec@5 87.500 (86.318) Epoch: [66][7890/10010] Time 0.318 (0.327) Data 0.001 (0.001) Loss 1.6948 (1.4072) Prec@1 60.938 (67.432) Prec@5 82.031 (86.318) Epoch: [66][7900/10010] Time 0.320 (0.327) Data 0.000 (0.001) Loss 1.3661 (1.4072) Prec@1 71.875 (67.432) Prec@5 86.719 (86.318) Epoch: [66][7910/10010] Time 0.320 (0.327) Data 0.000 (0.001) Loss 1.0781 (1.4071) Prec@1 71.875 (67.434) Prec@5 89.062 (86.319) Epoch: [66][7920/10010] Time 0.313 (0.327) Data 0.001 (0.001) Loss 1.3201 (1.4072) Prec@1 72.656 (67.435) Prec@5 88.281 (86.318) Epoch: [66][7930/10010] Time 0.317 (0.327) Data 0.001 (0.001) Loss 1.1209 (1.4071) Prec@1 71.094 (67.435) Prec@5 90.625 (86.318) Epoch: [66][7940/10010] Time 0.332 (0.327) Data 0.001 (0.001) Loss 1.2753 (1.4072) Prec@1 71.094 (67.433) Prec@5 88.281 (86.316) Epoch: [66][7950/10010] Time 0.324 (0.327) Data 0.001 (0.001) Loss 1.5914 (1.4073) Prec@1 64.062 (67.431) Prec@5 87.500 (86.315) Epoch: [66][7960/10010] Time 0.318 (0.327) Data 0.002 (0.001) Loss 1.4035 (1.4074) Prec@1 68.750 (67.429) Prec@5 88.281 (86.314) Epoch: [66][7970/10010] Time 0.324 (0.327) Data 0.001 (0.001) Loss 1.4804 (1.4074) Prec@1 65.625 (67.429) Prec@5 82.031 (86.312) Epoch: [66][7980/10010] Time 0.325 (0.327) Data 0.000 (0.001) Loss 1.4941 (1.4074) Prec@1 65.625 (67.428) Prec@5 85.938 (86.311) Epoch: [66][7990/10010] Time 0.332 (0.327) Data 0.001 (0.001) Loss 1.2378 (1.4075) Prec@1 66.406 (67.426) Prec@5 90.625 (86.312) Epoch: [66][8000/10010] Time 0.327 (0.327) Data 0.001 (0.001) Loss 1.2227 (1.4075) Prec@1 67.969 (67.426) Prec@5 91.406 (86.313) Epoch: [66][8010/10010] Time 0.316 (0.327) Data 0.001 (0.001) Loss 1.4680 (1.4074) Prec@1 66.406 (67.425) Prec@5 85.156 (86.313) Epoch: [66][8020/10010] Time 0.325 (0.327) Data 0.001 (0.001) Loss 1.4988 (1.4075) Prec@1 67.188 (67.426) Prec@5 82.812 (86.311) Epoch: [66][8030/10010] Time 0.328 (0.327) Data 0.000 (0.001) Loss 1.1457 (1.4075) Prec@1 74.219 (67.428) Prec@5 90.625 (86.311) Epoch: [66][8040/10010] Time 0.322 (0.327) Data 0.001 (0.001) Loss 1.5883 (1.4075) Prec@1 68.750 (67.430) Prec@5 82.812 (86.312) Epoch: [66][8050/10010] Time 0.336 (0.327) Data 0.000 (0.001) Loss 1.2104 (1.4074) Prec@1 68.750 (67.430) Prec@5 85.156 (86.311) Epoch: [66][8060/10010] Time 0.316 (0.327) Data 0.001 (0.001) Loss 1.2494 (1.4075) Prec@1 71.875 (67.427) Prec@5 86.719 (86.309) Epoch: [66][8070/10010] Time 0.334 (0.327) Data 0.000 (0.001) Loss 1.3936 (1.4075) Prec@1 72.656 (67.431) Prec@5 82.812 (86.309) Epoch: [66][8080/10010] Time 0.320 (0.327) Data 0.001 (0.001) Loss 1.1858 (1.4076) Prec@1 69.531 (67.429) Prec@5 89.062 (86.307) Epoch: [66][8090/10010] Time 0.307 (0.326) Data 0.001 (0.001) Loss 1.2515 (1.4075) Prec@1 70.312 (67.433) Prec@5 89.062 (86.309) Epoch: [66][8100/10010] Time 0.342 (0.327) Data 0.001 (0.001) Loss 1.6238 (1.4075) Prec@1 64.844 (67.432) Prec@5 81.250 (86.307) Epoch: [66][8110/10010] Time 0.334 (0.327) Data 0.000 (0.001) Loss 1.4205 (1.4075) Prec@1 64.062 (67.431) Prec@5 85.156 (86.308) Epoch: [66][8120/10010] Time 0.318 (0.326) Data 0.001 (0.001) Loss 1.0683 (1.4073) Prec@1 75.781 (67.436) Prec@5 92.969 (86.311) Epoch: [66][8130/10010] Time 0.339 (0.326) Data 0.000 (0.001) Loss 1.4006 (1.4073) Prec@1 72.656 (67.434) Prec@5 85.938 (86.311) Epoch: [66][8140/10010] Time 0.325 (0.326) Data 0.001 (0.001) Loss 1.2440 (1.4073) Prec@1 71.875 (67.435) Prec@5 87.500 (86.311) Epoch: [66][8150/10010] Time 0.329 (0.326) Data 0.000 (0.001) Loss 1.2536 (1.4074) Prec@1 67.188 (67.432) Prec@5 88.281 (86.310) Epoch: [66][8160/10010] Time 0.318 (0.326) Data 0.000 (0.001) Loss 1.4047 (1.4074) Prec@1 66.406 (67.430) Prec@5 84.375 (86.309) Epoch: [66][8170/10010] Time 0.334 (0.326) Data 0.000 (0.001) Loss 1.3558 (1.4075) Prec@1 71.094 (67.430) Prec@5 89.062 (86.308) Epoch: [66][8180/10010] Time 0.315 (0.326) Data 0.001 (0.001) Loss 1.3911 (1.4074) Prec@1 62.500 (67.432) Prec@5 89.062 (86.308) Epoch: [66][8190/10010] Time 0.318 (0.326) Data 0.000 (0.001) Loss 1.3443 (1.4075) Prec@1 69.531 (67.433) Prec@5 85.938 (86.307) Epoch: [66][8200/10010] Time 0.327 (0.326) Data 0.001 (0.001) Loss 1.1894 (1.4075) Prec@1 73.438 (67.435) Prec@5 87.500 (86.307) Epoch: [66][8210/10010] Time 0.313 (0.326) Data 0.001 (0.001) Loss 1.5244 (1.4075) Prec@1 64.062 (67.434) Prec@5 85.938 (86.306) Epoch: [66][8220/10010] Time 0.324 (0.326) Data 0.000 (0.001) Loss 1.4348 (1.4074) Prec@1 64.062 (67.436) Prec@5 85.156 (86.307) Epoch: [66][8230/10010] Time 0.327 (0.326) Data 0.001 (0.001) Loss 1.5012 (1.4074) Prec@1 62.500 (67.436) Prec@5 85.938 (86.307) Epoch: [66][8240/10010] Time 0.323 (0.326) Data 0.001 (0.001) Loss 1.6168 (1.4075) Prec@1 64.062 (67.435) Prec@5 81.250 (86.305) Epoch: [66][8250/10010] Time 0.322 (0.326) Data 0.000 (0.001) Loss 1.4569 (1.4076) Prec@1 69.531 (67.433) Prec@5 85.938 (86.305) Epoch: [66][8260/10010] Time 0.319 (0.326) Data 0.001 (0.001) Loss 0.9947 (1.4075) Prec@1 74.219 (67.436) Prec@5 91.406 (86.305) Epoch: [66][8270/10010] Time 0.317 (0.326) Data 0.001 (0.001) Loss 1.3362 (1.4075) Prec@1 67.188 (67.436) Prec@5 90.625 (86.306) Epoch: [66][8280/10010] Time 0.317 (0.326) Data 0.001 (0.001) Loss 1.2507 (1.4075) Prec@1 70.312 (67.436) Prec@5 89.062 (86.306) Epoch: [66][8290/10010] Time 0.314 (0.326) Data 0.001 (0.001) Loss 1.1956 (1.4074) Prec@1 66.406 (67.437) Prec@5 91.406 (86.306) /data/vision/torralba/deepscene/lib/anaconda2/lib/python2.7/site-packages/PIL/TiffImagePlugin.py:692: UserWarning: Possibly corrupt EXIF data. Expecting to read 2555904 bytes but only got 0. Skipping tag 0 "Skipping tag %s" % (size, len(data), tag)) Epoch: [66][8300/10010] Time 0.320 (0.326) Data 0.001 (0.001) Loss 1.1850 (1.4074) Prec@1 75.000 (67.439) Prec@5 92.188 (86.308) Epoch: [66][8310/10010] Time 0.338 (0.326) Data 0.001 (0.001) Loss 1.3593 (1.4072) Prec@1 68.750 (67.443) Prec@5 89.844 (86.311) Epoch: [66][8320/10010] Time 0.322 (0.326) Data 0.000 (0.001) Loss 1.7961 (1.4073) Prec@1 64.062 (67.443) Prec@5 82.812 (86.309) Epoch: [66][8330/10010] Time 0.325 (0.326) Data 0.001 (0.001) Loss 1.6670 (1.4074) Prec@1 61.719 (67.442) Prec@5 82.812 (86.308) Epoch: [66][8340/10010] Time 0.321 (0.326) Data 0.001 (0.001) Loss 1.3493 (1.4074) Prec@1 68.750 (67.442) Prec@5 87.500 (86.307) Epoch: [66][8350/10010] Time 0.319 (0.326) Data 0.001 (0.001) Loss 1.4225 (1.4073) Prec@1 64.844 (67.441) Prec@5 88.281 (86.308) Epoch: [66][8360/10010] Time 0.337 (0.326) Data 0.001 (0.001) Loss 1.7977 (1.4075) Prec@1 61.719 (67.436) Prec@5 76.562 (86.305) Epoch: [66][8370/10010] Time 0.319 (0.326) Data 0.001 (0.001) Loss 1.2676 (1.4075) Prec@1 71.094 (67.436) Prec@5 88.281 (86.305) Epoch: [66][8380/10010] Time 0.321 (0.326) Data 0.001 (0.001) Loss 1.6276 (1.4077) Prec@1 61.719 (67.432) Prec@5 86.719 (86.304) Epoch: [66][8390/10010] Time 0.321 (0.326) Data 0.001 (0.001) Loss 1.2807 (1.4076) Prec@1 71.094 (67.432) Prec@5 88.281 (86.305) /data/vision/torralba/deepscene/lib/anaconda2/lib/python2.7/site-packages/PIL/TiffImagePlugin.py:692: UserWarning: Possibly corrupt EXIF data. Expecting to read 19660800 bytes but only got 0. Skipping tag 0 "Skipping tag %s" % (size, len(data), tag)) /data/vision/torralba/deepscene/lib/anaconda2/lib/python2.7/site-packages/PIL/TiffImagePlugin.py:692: UserWarning: Possibly corrupt EXIF data. Expecting to read 18481152 bytes but only got 0. Skipping tag 0 "Skipping tag %s" % (size, len(data), tag)) /data/vision/torralba/deepscene/lib/anaconda2/lib/python2.7/site-packages/PIL/TiffImagePlugin.py:692: UserWarning: Possibly corrupt EXIF data. Expecting to read 37093376 bytes but only got 0. Skipping tag 0 "Skipping tag %s" % (size, len(data), tag)) /data/vision/torralba/deepscene/lib/anaconda2/lib/python2.7/site-packages/PIL/TiffImagePlugin.py:692: UserWarning: Possibly corrupt EXIF data. Expecting to read 39976960 bytes but only got 0. Skipping tag 0 "Skipping tag %s" % (size, len(data), tag)) /data/vision/torralba/deepscene/lib/anaconda2/lib/python2.7/site-packages/PIL/TiffImagePlugin.py:692: UserWarning: Possibly corrupt EXIF data. Expecting to read 34865152 bytes but only got 0. Skipping tag 0 "Skipping tag %s" % (size, len(data), tag)) /data/vision/torralba/deepscene/lib/anaconda2/lib/python2.7/site-packages/PIL/TiffImagePlugin.py:709: UserWarning: Corrupt EXIF data. Expecting to read 12 bytes but only got 10. warnings.warn(str(msg)) Epoch: [66][8400/10010] Time 0.322 (0.326) Data 0.001 (0.001) Loss 1.4478 (1.4076) Prec@1 71.094 (67.430) Prec@5 86.719 (86.305) Epoch: [66][8410/10010] Time 0.329 (0.326) Data 0.001 (0.001) Loss 1.3562 (1.4076) Prec@1 66.406 (67.432) Prec@5 85.938 (86.306) Epoch: [66][8420/10010] Time 0.328 (0.326) Data 0.000 (0.001) Loss 1.2842 (1.4076) Prec@1 65.625 (67.433) Prec@5 92.188 (86.307) Epoch: [66][8430/10010] Time 0.337 (0.326) Data 0.001 (0.001) Loss 1.5122 (1.4076) Prec@1 60.156 (67.433) Prec@5 82.812 (86.306) Epoch: [66][8440/10010] Time 0.331 (0.326) Data 0.000 (0.001) Loss 1.4301 (1.4076) Prec@1 64.844 (67.432) Prec@5 85.156 (86.306) Epoch: [66][8450/10010] Time 0.326 (0.326) Data 0.001 (0.001) Loss 1.3903 (1.4076) Prec@1 67.188 (67.431) Prec@5 88.281 (86.307) Epoch: [66][8460/10010] Time 0.327 (0.326) Data 0.000 (0.001) Loss 1.5234 (1.4077) Prec@1 69.531 (67.432) Prec@5 82.031 (86.307) Epoch: [66][8470/10010] Time 0.329 (0.326) Data 0.001 (0.001) Loss 1.7888 (1.4077) Prec@1 62.500 (67.431) Prec@5 78.906 (86.305) Epoch: [66][8480/10010] Time 0.320 (0.326) Data 0.000 (0.001) Loss 1.5571 (1.4077) Prec@1 62.500 (67.432) Prec@5 85.156 (86.305) Epoch: [66][8490/10010] Time 0.327 (0.326) Data 0.000 (0.001) Loss 1.3165 (1.4078) Prec@1 66.406 (67.430) Prec@5 89.062 (86.304) Epoch: [66][8500/10010] Time 0.319 (0.326) Data 0.001 (0.001) Loss 1.3824 (1.4077) Prec@1 65.625 (67.432) Prec@5 85.156 (86.304) Epoch: [66][8510/10010] Time 0.317 (0.326) Data 0.001 (0.001) Loss 1.6377 (1.4078) Prec@1 60.156 (67.430) Prec@5 84.375 (86.304) Epoch: [66][8520/10010] Time 0.335 (0.326) Data 0.001 (0.001) Loss 1.4668 (1.4078) Prec@1 73.438 (67.431) Prec@5 85.156 (86.303) Epoch: [66][8530/10010] Time 0.321 (0.326) Data 0.001 (0.001) Loss 1.2417 (1.4077) Prec@1 71.094 (67.432) Prec@5 88.281 (86.304) Epoch: [66][8540/10010] Time 0.318 (0.326) Data 0.001 (0.001) Loss 1.2960 (1.4075) Prec@1 72.656 (67.435) Prec@5 87.500 (86.307) Epoch: [66][8550/10010] Time 0.332 (0.326) Data 0.001 (0.001) Loss 1.4634 (1.4075) Prec@1 60.938 (67.436) Prec@5 86.719 (86.307) Epoch: [66][8560/10010] Time 0.338 (0.326) Data 0.001 (0.001) Loss 1.4236 (1.4074) Prec@1 68.750 (67.437) Prec@5 85.938 (86.309) Epoch: [66][8570/10010] Time 0.312 (0.326) Data 0.001 (0.001) Loss 1.5513 (1.4074) Prec@1 63.281 (67.435) Prec@5 83.594 (86.309) Epoch: [66][8580/10010] Time 0.330 (0.326) Data 0.003 (0.001) Loss 1.5203 (1.4075) Prec@1 64.844 (67.435) Prec@5 88.281 (86.309) Epoch: [66][8590/10010] Time 0.320 (0.326) Data 0.001 (0.001) Loss 1.2577 (1.4075) Prec@1 71.094 (67.433) Prec@5 92.188 (86.309) Epoch: [66][8600/10010] Time 0.325 (0.326) Data 0.001 (0.001) Loss 1.2608 (1.4077) Prec@1 72.656 (67.430) Prec@5 89.062 (86.307) Epoch: [66][8610/10010] Time 0.320 (0.326) Data 0.000 (0.001) Loss 1.4252 (1.4077) Prec@1 66.406 (67.429) Prec@5 82.812 (86.307) Epoch: [66][8620/10010] Time 0.315 (0.326) Data 0.001 (0.001) Loss 1.4900 (1.4076) Prec@1 65.625 (67.431) Prec@5 87.500 (86.309) /data/vision/torralba/deepscene/lib/anaconda2/lib/python2.7/site-packages/PIL/TiffImagePlugin.py:692: UserWarning: Possibly corrupt EXIF data. Expecting to read 2555904 bytes but only got 0. Skipping tag 0 "Skipping tag %s" % (size, len(data), tag)) Epoch: [66][8630/10010] Time 0.334 (0.326) Data 0.001 (0.001) Loss 1.5668 (1.4076) Prec@1 60.156 (67.431) Prec@5 86.719 (86.308) Epoch: [66][8640/10010] Time 0.333 (0.326) Data 0.001 (0.001) Loss 1.6384 (1.4077) Prec@1 66.406 (67.429) Prec@5 82.031 (86.306) Epoch: [66][8650/10010] Time 0.312 (0.326) Data 0.001 (0.001) Loss 1.3367 (1.4077) Prec@1 70.312 (67.429) Prec@5 89.062 (86.306) Epoch: [66][8660/10010] Time 0.329 (0.326) Data 0.001 (0.001) Loss 1.2824 (1.4078) Prec@1 62.500 (67.428) Prec@5 87.500 (86.306) Epoch: [66][8670/10010] Time 0.332 (0.326) Data 0.001 (0.001) Loss 1.4532 (1.4078) Prec@1 67.188 (67.427) Prec@5 88.281 (86.306) Epoch: [66][8680/10010] Time 0.322 (0.326) Data 0.000 (0.001) Loss 1.5152 (1.4078) Prec@1 66.406 (67.425) Prec@5 86.719 (86.306) Epoch: [66][8690/10010] Time 0.328 (0.326) Data 0.000 (0.001) Loss 1.4185 (1.4078) Prec@1 64.844 (67.426) Prec@5 83.594 (86.306) Epoch: [66][8700/10010] Time 0.328 (0.326) Data 0.000 (0.001) Loss 1.3018 (1.4079) Prec@1 68.750 (67.424) Prec@5 89.844 (86.305) Epoch: [66][8710/10010] Time 0.320 (0.326) Data 0.001 (0.001) Loss 1.2733 (1.4079) Prec@1 69.531 (67.424) Prec@5 88.281 (86.304) Epoch: [66][8720/10010] Time 0.315 (0.326) Data 0.001 (0.001) Loss 1.3465 (1.4079) Prec@1 64.844 (67.424) Prec@5 90.625 (86.306) Epoch: [66][8730/10010] Time 0.320 (0.326) Data 0.000 (0.001) Loss 1.4601 (1.4078) Prec@1 64.844 (67.426) Prec@5 84.375 (86.306) Epoch: [66][8740/10010] Time 0.326 (0.326) Data 0.001 (0.001) Loss 1.4043 (1.4078) Prec@1 70.312 (67.426) Prec@5 86.719 (86.306) Epoch: [66][8750/10010] Time 0.323 (0.326) Data 0.001 (0.001) Loss 1.2374 (1.4077) Prec@1 70.312 (67.430) Prec@5 88.281 (86.307) Epoch: [66][8760/10010] Time 0.315 (0.326) Data 0.001 (0.001) Loss 1.5012 (1.4077) Prec@1 68.750 (67.431) Prec@5 88.281 (86.307) Epoch: [66][8770/10010] Time 0.336 (0.326) Data 0.001 (0.001) Loss 1.3592 (1.4077) Prec@1 72.656 (67.431) Prec@5 87.500 (86.309) Epoch: [66][8780/10010] Time 0.316 (0.326) Data 0.001 (0.001) Loss 1.4983 (1.4077) Prec@1 64.844 (67.431) Prec@5 82.031 (86.308) Epoch: [66][8790/10010] Time 0.322 (0.326) Data 0.001 (0.001) Loss 1.3412 (1.4077) Prec@1 72.656 (67.432) Prec@5 89.062 (86.309) Epoch: [66][8800/10010] Time 0.327 (0.326) Data 0.000 (0.001) Loss 1.4107 (1.4077) Prec@1 68.750 (67.433) Prec@5 87.500 (86.308) Epoch: [66][8810/10010] Time 0.322 (0.326) Data 0.001 (0.001) Loss 1.4974 (1.4077) Prec@1 64.844 (67.432) Prec@5 84.375 (86.307) Epoch: [66][8820/10010] Time 0.323 (0.326) Data 0.001 (0.001) Loss 1.3905 (1.4078) Prec@1 71.094 (67.431) Prec@5 84.375 (86.305) Epoch: [66][8830/10010] Time 0.328 (0.326) Data 0.000 (0.001) Loss 1.5282 (1.4078) Prec@1 67.969 (67.431) Prec@5 83.594 (86.306) Epoch: [66][8840/10010] Time 0.325 (0.326) Data 0.001 (0.001) Loss 1.2182 (1.4078) Prec@1 72.656 (67.432) Prec@5 88.281 (86.306) Epoch: [66][8850/10010] Time 0.328 (0.326) Data 0.001 (0.001) Loss 1.4191 (1.4079) Prec@1 62.500 (67.430) Prec@5 85.156 (86.306) Epoch: [66][8860/10010] Time 0.335 (0.326) Data 0.001 (0.001) Loss 1.2824 (1.4078) Prec@1 71.875 (67.432) Prec@5 85.938 (86.307) Epoch: [66][8870/10010] Time 0.331 (0.326) Data 0.000 (0.001) Loss 1.4202 (1.4078) Prec@1 63.281 (67.430) Prec@5 85.156 (86.306) Epoch: [66][8880/10010] Time 0.324 (0.326) Data 0.000 (0.001) Loss 1.3557 (1.4078) Prec@1 66.406 (67.430) Prec@5 89.844 (86.307) Epoch: [66][8890/10010] Time 0.339 (0.326) Data 0.001 (0.001) Loss 1.5619 (1.4079) Prec@1 63.281 (67.429) Prec@5 79.688 (86.305) Epoch: [66][8900/10010] Time 0.313 (0.326) Data 0.001 (0.001) Loss 1.2946 (1.4080) Prec@1 70.312 (67.427) Prec@5 85.938 (86.304) Epoch: [66][8910/10010] Time 0.334 (0.326) Data 0.001 (0.001) Loss 1.2785 (1.4080) Prec@1 69.531 (67.427) Prec@5 86.719 (86.304) Epoch: [66][8920/10010] Time 0.319 (0.326) Data 0.000 (0.001) Loss 1.1596 (1.4079) Prec@1 73.438 (67.429) Prec@5 91.406 (86.304) Epoch: [66][8930/10010] Time 0.338 (0.326) Data 0.000 (0.001) Loss 1.3049 (1.4079) Prec@1 67.969 (67.430) Prec@5 87.500 (86.304) Epoch: [66][8940/10010] Time 0.326 (0.326) Data 0.001 (0.001) Loss 1.3797 (1.4079) Prec@1 68.750 (67.429) Prec@5 85.156 (86.302) Epoch: [66][8950/10010] Time 0.320 (0.326) Data 0.000 (0.001) Loss 1.4567 (1.4079) Prec@1 67.188 (67.430) Prec@5 82.812 (86.303) Epoch: [66][8960/10010] Time 0.316 (0.326) Data 0.001 (0.001) Loss 1.5055 (1.4080) Prec@1 69.531 (67.427) Prec@5 83.594 (86.301) Epoch: [66][8970/10010] Time 0.322 (0.326) Data 0.001 (0.001) Loss 1.2758 (1.4080) Prec@1 69.531 (67.429) Prec@5 86.719 (86.301) Epoch: [66][8980/10010] Time 0.324 (0.326) Data 0.001 (0.001) Loss 1.4708 (1.4079) Prec@1 64.844 (67.431) Prec@5 85.938 (86.300) Epoch: [66][8990/10010] Time 0.321 (0.326) Data 0.000 (0.001) Loss 1.3707 (1.4080) Prec@1 68.750 (67.430) Prec@5 86.719 (86.298) Epoch: [66][9000/10010] Time 0.337 (0.326) Data 0.000 (0.001) Loss 1.7877 (1.4081) Prec@1 60.938 (67.427) Prec@5 78.906 (86.296) Epoch: [66][9010/10010] Time 0.321 (0.326) Data 0.000 (0.001) Loss 1.4519 (1.4081) Prec@1 66.406 (67.428) Prec@5 83.594 (86.296) Epoch: [66][9020/10010] Time 0.333 (0.326) Data 0.000 (0.001) Loss 1.4159 (1.4081) Prec@1 67.188 (67.429) Prec@5 84.375 (86.295) Epoch: [66][9030/10010] Time 0.329 (0.326) Data 0.001 (0.001) Loss 1.2633 (1.4081) Prec@1 70.312 (67.428) Prec@5 89.062 (86.294) Epoch: [66][9040/10010] Time 0.319 (0.326) Data 0.001 (0.001) Loss 1.3504 (1.4081) Prec@1 67.188 (67.428) Prec@5 86.719 (86.295) Epoch: [66][9050/10010] Time 0.318 (0.326) Data 0.000 (0.001) Loss 1.5720 (1.4082) Prec@1 64.062 (67.427) Prec@5 81.250 (86.293) Epoch: [66][9060/10010] Time 0.324 (0.326) Data 0.000 (0.001) Loss 1.4772 (1.4082) Prec@1 69.531 (67.427) Prec@5 85.156 (86.292) Epoch: [66][9070/10010] Time 0.320 (0.326) Data 0.000 (0.001) Loss 1.4297 (1.4082) Prec@1 69.531 (67.428) Prec@5 89.062 (86.293) Epoch: [66][9080/10010] Time 0.321 (0.326) Data 0.000 (0.001) Loss 1.6318 (1.4083) Prec@1 68.750 (67.428) Prec@5 82.031 (86.292) Epoch: [66][9090/10010] Time 0.318 (0.326) Data 0.001 (0.001) Loss 1.1376 (1.4082) Prec@1 72.656 (67.430) Prec@5 89.844 (86.294) Epoch: [66][9100/10010] Time 0.320 (0.326) Data 0.001 (0.001) Loss 1.1716 (1.4082) Prec@1 67.188 (67.428) Prec@5 89.844 (86.293) Epoch: [66][9110/10010] Time 0.319 (0.326) Data 0.001 (0.001) Loss 1.4205 (1.4082) Prec@1 71.094 (67.428) Prec@5 84.375 (86.292) Epoch: [66][9120/10010] Time 0.322 (0.326) Data 0.001 (0.001) Loss 1.2284 (1.4082) Prec@1 67.188 (67.430) Prec@5 91.406 (86.294) Epoch: [66][9130/10010] Time 0.321 (0.326) Data 0.000 (0.001) Loss 1.2073 (1.4082) Prec@1 72.656 (67.430) Prec@5 88.281 (86.293) Epoch: [66][9140/10010] Time 0.339 (0.326) Data 0.001 (0.001) Loss 1.6376 (1.4082) Prec@1 64.062 (67.429) Prec@5 81.250 (86.293) Epoch: [66][9150/10010] Time 0.324 (0.326) Data 0.001 (0.001) Loss 1.6124 (1.4083) Prec@1 61.719 (67.428) Prec@5 84.375 (86.292) Epoch: [66][9160/10010] Time 0.319 (0.326) Data 0.000 (0.001) Loss 1.3270 (1.4083) Prec@1 71.094 (67.429) Prec@5 89.062 (86.292) Epoch: [66][9170/10010] Time 0.325 (0.326) Data 0.000 (0.001) Loss 1.3985 (1.4082) Prec@1 65.625 (67.432) Prec@5 85.156 (86.294) Epoch: [66][9180/10010] Time 0.316 (0.326) Data 0.001 (0.001) Loss 1.4068 (1.4081) Prec@1 70.312 (67.433) Prec@5 88.281 (86.295) Epoch: [66][9190/10010] Time 0.328 (0.326) Data 0.001 (0.001) Loss 1.4242 (1.4082) Prec@1 61.719 (67.432) Prec@5 84.375 (86.295) Epoch: [66][9200/10010] Time 0.341 (0.326) Data 0.000 (0.001) Loss 1.6194 (1.4082) Prec@1 62.500 (67.432) Prec@5 84.375 (86.295) Epoch: [66][9210/10010] Time 0.333 (0.326) Data 0.000 (0.001) Loss 1.0869 (1.4082) Prec@1 70.312 (67.433) Prec@5 92.188 (86.295) Epoch: [66][9220/10010] Time 0.322 (0.326) Data 0.001 (0.001) Loss 1.3947 (1.4082) Prec@1 67.969 (67.433) Prec@5 85.938 (86.295) Epoch: [66][9230/10010] Time 0.324 (0.326) Data 0.000 (0.001) Loss 1.5471 (1.4083) Prec@1 70.312 (67.432) Prec@5 87.500 (86.295) Epoch: [66][9240/10010] Time 0.329 (0.326) Data 0.001 (0.001) Loss 1.4303 (1.4082) Prec@1 67.188 (67.434) Prec@5 87.500 (86.296) Epoch: [66][9250/10010] Time 0.328 (0.326) Data 0.000 (0.001) Loss 1.6799 (1.4082) Prec@1 66.406 (67.434) Prec@5 83.594 (86.296) Epoch: [66][9260/10010] Time 0.336 (0.326) Data 0.001 (0.001) Loss 1.5224 (1.4082) Prec@1 65.625 (67.435) Prec@5 83.594 (86.295) Epoch: [66][9270/10010] Time 0.342 (0.326) Data 0.001 (0.001) Loss 1.5591 (1.4083) Prec@1 67.969 (67.434) Prec@5 84.375 (86.294) Epoch: [66][9280/10010] Time 0.316 (0.326) Data 0.001 (0.001) Loss 1.5038 (1.4084) Prec@1 64.844 (67.431) Prec@5 83.594 (86.290) Epoch: [66][9290/10010] Time 0.322 (0.326) Data 0.000 (0.001) Loss 1.3785 (1.4084) Prec@1 68.750 (67.430) Prec@5 85.938 (86.290) Epoch: [66][9300/10010] Time 0.313 (0.326) Data 0.001 (0.001) Loss 1.3921 (1.4084) Prec@1 67.969 (67.430) Prec@5 85.938 (86.289) Epoch: [66][9310/10010] Time 0.336 (0.326) Data 0.001 (0.001) Loss 1.1122 (1.4085) Prec@1 72.656 (67.429) Prec@5 89.062 (86.288) Epoch: [66][9320/10010] Time 0.323 (0.326) Data 0.001 (0.001) Loss 1.3683 (1.4085) Prec@1 67.188 (67.429) Prec@5 85.156 (86.288) Epoch: [66][9330/10010] Time 0.312 (0.326) Data 0.001 (0.001) Loss 1.4235 (1.4085) Prec@1 63.281 (67.429) Prec@5 85.938 (86.287) Epoch: [66][9340/10010] Time 0.314 (0.326) Data 0.001 (0.001) Loss 1.6434 (1.4085) Prec@1 62.500 (67.429) Prec@5 80.469 (86.285) Epoch: [66][9350/10010] Time 0.327 (0.326) Data 0.000 (0.001) Loss 1.2207 (1.4084) Prec@1 69.531 (67.430) Prec@5 89.844 (86.286) Epoch: [66][9360/10010] Time 0.334 (0.326) Data 0.001 (0.001) Loss 1.6062 (1.4084) Prec@1 62.500 (67.433) Prec@5 80.469 (86.286) Epoch: [66][9370/10010] Time 0.330 (0.326) Data 0.001 (0.001) Loss 1.2341 (1.4084) Prec@1 72.656 (67.434) Prec@5 87.500 (86.286) Epoch: [66][9380/10010] Time 0.342 (0.326) Data 0.001 (0.001) Loss 1.5157 (1.4084) Prec@1 66.406 (67.432) Prec@5 86.719 (86.286) Epoch: [66][9390/10010] Time 0.319 (0.326) Data 0.000 (0.001) Loss 1.4924 (1.4084) Prec@1 64.062 (67.433) Prec@5 85.938 (86.286) Epoch: [66][9400/10010] Time 0.314 (0.326) Data 0.001 (0.001) Loss 1.4751 (1.4084) Prec@1 64.844 (67.432) Prec@5 89.062 (86.287) Epoch: [66][9410/10010] Time 0.316 (0.326) Data 0.001 (0.001) Loss 1.2725 (1.4083) Prec@1 71.875 (67.434) Prec@5 89.062 (86.288) Epoch: [66][9420/10010] Time 0.322 (0.326) Data 0.001 (0.001) Loss 1.4066 (1.4083) Prec@1 67.188 (67.435) Prec@5 82.031 (86.289) Epoch: [66][9430/10010] Time 0.314 (0.326) Data 0.001 (0.001) Loss 1.2242 (1.4083) Prec@1 75.781 (67.434) Prec@5 86.719 (86.289) Epoch: [66][9440/10010] Time 0.327 (0.326) Data 0.001 (0.001) Loss 1.2531 (1.4082) Prec@1 69.531 (67.435) Prec@5 92.188 (86.290) Epoch: [66][9450/10010] Time 0.320 (0.326) Data 0.001 (0.001) Loss 1.5192 (1.4082) Prec@1 64.844 (67.436) Prec@5 85.156 (86.291) Epoch: [66][9460/10010] Time 0.322 (0.326) Data 0.000 (0.001) Loss 1.3375 (1.4082) Prec@1 68.750 (67.436) Prec@5 85.938 (86.291) Epoch: [66][9470/10010] Time 0.322 (0.326) Data 0.001 (0.001) Loss 1.5145 (1.4082) Prec@1 67.969 (67.435) Prec@5 85.156 (86.291) Epoch: [66][9480/10010] Time 0.327 (0.326) Data 0.001 (0.001) Loss 1.6277 (1.4082) Prec@1 63.281 (67.434) Prec@5 82.812 (86.292) Epoch: [66][9490/10010] Time 0.313 (0.326) Data 0.001 (0.001) Loss 1.1655 (1.4081) Prec@1 75.000 (67.435) Prec@5 89.062 (86.292) Epoch: [66][9500/10010] Time 0.317 (0.326) Data 0.001 (0.001) Loss 1.6653 (1.4081) Prec@1 60.156 (67.434) Prec@5 83.594 (86.293) Epoch: [66][9510/10010] Time 0.317 (0.326) Data 0.001 (0.001) Loss 1.6727 (1.4081) Prec@1 65.625 (67.435) Prec@5 82.812 (86.293) Epoch: [66][9520/10010] Time 0.330 (0.326) Data 0.001 (0.001) Loss 1.0749 (1.4081) Prec@1 76.562 (67.435) Prec@5 91.406 (86.293) Epoch: [66][9530/10010] Time 0.321 (0.326) Data 0.001 (0.001) Loss 1.4433 (1.4080) Prec@1 64.062 (67.435) Prec@5 90.625 (86.293) Epoch: [66][9540/10010] Time 0.324 (0.326) Data 0.001 (0.001) Loss 1.5176 (1.4080) Prec@1 67.969 (67.434) Prec@5 85.938 (86.293) Epoch: [66][9550/10010] Time 0.327 (0.326) Data 0.001 (0.001) Loss 1.3501 (1.4081) Prec@1 67.188 (67.433) Prec@5 85.156 (86.293) Epoch: [66][9560/10010] Time 0.331 (0.326) Data 0.001 (0.001) Loss 1.6570 (1.4081) Prec@1 63.281 (67.432) Prec@5 82.812 (86.293) Epoch: [66][9570/10010] Time 0.319 (0.326) Data 0.001 (0.001) Loss 1.4779 (1.4081) Prec@1 65.625 (67.432) Prec@5 85.938 (86.294) Epoch: [66][9580/10010] Time 0.330 (0.326) Data 0.001 (0.001) Loss 1.4536 (1.4082) Prec@1 67.188 (67.432) Prec@5 85.156 (86.293) Epoch: [66][9590/10010] Time 0.318 (0.326) Data 0.001 (0.001) Loss 1.3404 (1.4083) Prec@1 69.531 (67.430) Prec@5 86.719 (86.291) Epoch: [66][9600/10010] Time 0.328 (0.326) Data 0.001 (0.001) Loss 1.3694 (1.4083) Prec@1 65.625 (67.428) Prec@5 87.500 (86.292) Epoch: [66][9610/10010] Time 0.318 (0.326) Data 0.000 (0.001) Loss 1.5735 (1.4082) Prec@1 60.938 (67.429) Prec@5 85.938 (86.293) Epoch: [66][9620/10010] Time 0.315 (0.326) Data 0.001 (0.001) Loss 1.3244 (1.4082) Prec@1 72.656 (67.430) Prec@5 87.500 (86.294) Epoch: [66][9630/10010] Time 0.322 (0.326) Data 0.001 (0.001) Loss 1.3423 (1.4082) Prec@1 68.750 (67.431) Prec@5 86.719 (86.295) Epoch: [66][9640/10010] Time 0.322 (0.326) Data 0.001 (0.001) Loss 1.4647 (1.4082) Prec@1 71.875 (67.429) Prec@5 85.156 (86.293) Epoch: [66][9650/10010] Time 0.327 (0.326) Data 0.000 (0.001) Loss 1.3406 (1.4083) Prec@1 65.625 (67.428) Prec@5 87.500 (86.292) Epoch: [66][9660/10010] Time 0.337 (0.326) Data 0.000 (0.001) Loss 1.5107 (1.4084) Prec@1 65.625 (67.428) Prec@5 85.156 (86.292) Epoch: [66][9670/10010] Time 0.328 (0.326) Data 0.001 (0.001) Loss 1.2879 (1.4084) Prec@1 71.875 (67.426) Prec@5 85.938 (86.290) Epoch: [66][9680/10010] Time 0.330 (0.326) Data 0.000 (0.001) Loss 1.1934 (1.4083) Prec@1 71.875 (67.428) Prec@5 92.188 (86.291) Epoch: [66][9690/10010] Time 0.337 (0.326) Data 0.001 (0.001) Loss 1.4365 (1.4083) Prec@1 71.094 (67.429) Prec@5 82.812 (86.292) Epoch: [66][9700/10010] Time 0.342 (0.326) Data 0.001 (0.001) Loss 1.3910 (1.4083) Prec@1 69.531 (67.429) Prec@5 88.281 (86.292) Epoch: [66][9710/10010] Time 0.323 (0.326) Data 0.001 (0.001) Loss 1.4524 (1.4082) Prec@1 67.188 (67.432) Prec@5 82.031 (86.293) Epoch: [66][9720/10010] Time 0.319 (0.326) Data 0.000 (0.001) Loss 1.4242 (1.4082) Prec@1 67.188 (67.433) Prec@5 85.156 (86.292) Epoch: [66][9730/10010] Time 0.334 (0.326) Data 0.001 (0.001) Loss 1.3890 (1.4082) Prec@1 67.969 (67.432) Prec@5 86.719 (86.292) Epoch: [66][9740/10010] Time 0.326 (0.326) Data 0.001 (0.001) Loss 1.5534 (1.4082) Prec@1 67.969 (67.432) Prec@5 81.250 (86.292) Epoch: [66][9750/10010] Time 0.334 (0.326) Data 0.001 (0.001) Loss 1.3140 (1.4081) Prec@1 69.531 (67.434) Prec@5 86.719 (86.293) Epoch: [66][9760/10010] Time 0.323 (0.326) Data 0.001 (0.001) Loss 1.2264 (1.4081) Prec@1 75.781 (67.437) Prec@5 89.844 (86.294) Epoch: [66][9770/10010] Time 0.314 (0.326) Data 0.001 (0.001) Loss 1.4774 (1.4082) Prec@1 62.500 (67.434) Prec@5 86.719 (86.293) Epoch: [66][9780/10010] Time 0.318 (0.326) Data 0.000 (0.001) Loss 1.3260 (1.4081) Prec@1 70.312 (67.435) Prec@5 89.062 (86.295) Epoch: [66][9790/10010] Time 0.332 (0.326) Data 0.000 (0.001) Loss 1.3161 (1.4082) Prec@1 70.312 (67.434) Prec@5 86.719 (86.293) Epoch: [66][9800/10010] Time 0.327 (0.326) Data 0.001 (0.001) Loss 1.5804 (1.4081) Prec@1 61.719 (67.435) Prec@5 84.375 (86.293) Epoch: [66][9810/10010] Time 0.324 (0.326) Data 0.001 (0.001) Loss 1.3832 (1.4081) Prec@1 66.406 (67.435) Prec@5 85.156 (86.293) Epoch: [66][9820/10010] Time 0.337 (0.326) Data 0.000 (0.001) Loss 1.1228 (1.4081) Prec@1 78.906 (67.433) Prec@5 89.844 (86.293) Epoch: [66][9830/10010] Time 0.320 (0.326) Data 0.001 (0.001) Loss 1.3514 (1.4082) Prec@1 69.531 (67.432) Prec@5 87.500 (86.292) Epoch: [66][9840/10010] Time 0.325 (0.326) Data 0.000 (0.001) Loss 1.6011 (1.4083) Prec@1 66.406 (67.432) Prec@5 84.375 (86.292) Epoch: [66][9850/10010] Time 0.317 (0.326) Data 0.000 (0.001) Loss 1.4115 (1.4084) Prec@1 66.406 (67.430) Prec@5 82.812 (86.291) Epoch: [66][9860/10010] Time 0.320 (0.326) Data 0.001 (0.001) Loss 1.4099 (1.4083) Prec@1 64.844 (67.429) Prec@5 88.281 (86.293) Epoch: [66][9870/10010] Time 0.337 (0.326) Data 0.001 (0.001) Loss 1.3732 (1.4084) Prec@1 66.406 (67.428) Prec@5 85.156 (86.292) Epoch: [66][9880/10010] Time 0.334 (0.326) Data 0.000 (0.001) Loss 1.3970 (1.4084) Prec@1 65.625 (67.426) Prec@5 86.719 (86.291) Epoch: [66][9890/10010] Time 0.316 (0.326) Data 0.001 (0.001) Loss 1.4658 (1.4085) Prec@1 67.969 (67.423) Prec@5 86.719 (86.290) Epoch: [66][9900/10010] Time 0.317 (0.326) Data 0.001 (0.001) Loss 1.5983 (1.4086) Prec@1 66.406 (67.422) Prec@5 83.594 (86.290) Epoch: [66][9910/10010] Time 0.321 (0.326) Data 0.001 (0.001) Loss 1.8865 (1.4086) Prec@1 62.500 (67.421) Prec@5 77.344 (86.288) Epoch: [66][9920/10010] Time 0.321 (0.326) Data 0.001 (0.001) Loss 1.2128 (1.4086) Prec@1 72.656 (67.422) Prec@5 89.062 (86.289) Epoch: [66][9930/10010] Time 0.329 (0.326) Data 0.001 (0.001) Loss 1.2819 (1.4086) Prec@1 65.625 (67.419) Prec@5 89.062 (86.289) Epoch: [66][9940/10010] Time 0.313 (0.326) Data 0.001 (0.001) Loss 1.4131 (1.4087) Prec@1 64.844 (67.417) Prec@5 83.594 (86.288) Epoch: [66][9950/10010] Time 0.326 (0.326) Data 0.000 (0.001) Loss 1.2868 (1.4087) Prec@1 71.094 (67.417) Prec@5 88.281 (86.287) Epoch: [66][9960/10010] Time 0.335 (0.326) Data 0.001 (0.001) Loss 1.6038 (1.4088) Prec@1 70.312 (67.415) Prec@5 85.156 (86.286) Epoch: [66][9970/10010] Time 0.326 (0.326) Data 0.001 (0.001) Loss 1.5236 (1.4089) Prec@1 66.406 (67.413) Prec@5 83.594 (86.284) Epoch: [66][9980/10010] Time 0.336 (0.326) Data 0.001 (0.001) Loss 1.3161 (1.4088) Prec@1 66.406 (67.415) Prec@5 86.719 (86.285) Epoch: [66][9990/10010] Time 0.316 (0.326) Data 0.001 (0.001) Loss 1.2222 (1.4087) Prec@1 68.750 (67.415) Prec@5 89.062 (86.287) Epoch: [66][10000/10010] Time 0.312 (0.326) Data 0.000 (0.001) Loss 1.3120 (1.4087) Prec@1 65.625 (67.416) Prec@5 85.938 (86.288) Test: [0/391] Time 2.143 (2.143) Loss 0.7433 (0.7433) Prec@1 82.812 (82.812) Prec@5 94.531 (94.531) Test: [10/391] Time 0.105 (0.289) Loss 1.2234 (0.6435) Prec@1 71.875 (84.446) Prec@5 91.406 (95.312) Test: [20/391] Time 0.105 (0.209) Loss 0.8383 (0.8977) Prec@1 78.906 (77.604) Prec@5 91.406 (92.969) Test: [30/391] Time 0.110 (0.177) Loss 1.6624 (1.0326) Prec@1 67.188 (73.916) Prec@5 85.938 (91.885) Test: [40/391] Time 0.108 (0.160) Loss 0.9544 (0.9318) Prec@1 75.781 (76.372) Prec@5 92.188 (92.759) Test: [50/391] Time 0.099 (0.149) Loss 0.4542 (0.9509) Prec@1 88.281 (76.225) Prec@5 96.875 (92.433) Test: [60/391] Time 0.105 (0.142) Loss 1.0080 (0.9020) Prec@1 75.000 (77.536) Prec@5 92.188 (92.879) Test: [70/391] Time 0.106 (0.138) Loss 1.1826 (0.9264) Prec@1 67.969 (76.596) Prec@5 93.750 (92.991) Test: [80/391] Time 0.106 (0.134) Loss 0.9175 (0.9439) Prec@1 75.781 (75.858) Prec@5 94.531 (92.969) Test: [90/391] Time 0.106 (0.131) Loss 1.1020 (0.9462) Prec@1 64.062 (75.670) Prec@5 93.750 (93.089) Test: [100/391] Time 0.102 (0.128) Loss 0.7597 (0.9388) Prec@1 79.688 (75.541) Prec@5 96.875 (93.332) Test: [110/391] Time 0.112 (0.126) Loss 1.3848 (0.9429) Prec@1 50.781 (75.176) Prec@5 95.312 (93.454) Test: [120/391] Time 0.107 (0.125) Loss 0.7409 (0.9365) Prec@1 82.812 (75.523) Prec@5 96.094 (93.537) Test: [130/391] Time 0.103 (0.123) Loss 0.4831 (0.9286) Prec@1 89.844 (75.877) Prec@5 95.312 (93.595) Test: [140/391] Time 0.106 (0.122) Loss 1.3035 (0.9290) Prec@1 64.844 (75.826) Prec@5 91.406 (93.606) Test: [150/391] Time 0.108 (0.121) Loss 0.8859 (0.9350) Prec@1 69.531 (75.776) Prec@5 94.531 (93.429) Test: [160/391] Time 0.163 (0.120) Loss 1.0095 (0.9393) Prec@1 71.094 (75.665) Prec@5 92.188 (93.352) Test: [170/391] Time 0.107 (0.119) Loss 1.7215 (0.9700) Prec@1 57.031 (75.046) Prec@5 87.500 (93.005) Test: [180/391] Time 0.113 (0.119) Loss 1.9542 (1.0019) Prec@1 53.125 (74.387) Prec@5 88.281 (92.636) Test: [190/391] Time 0.104 (0.118) Loss 2.0576 (1.0372) Prec@1 55.469 (73.687) Prec@5 84.375 (92.179) Test: [200/391] Time 0.100 (0.117) Loss 1.0803 (1.0654) Prec@1 70.312 (73.181) Prec@5 93.750 (91.807) Test: [210/391] Time 0.107 (0.117) Loss 1.6151 (1.0814) Prec@1 63.281 (72.882) Prec@5 85.156 (91.654) Test: [220/391] Time 0.104 (0.116) Loss 0.6661 (1.0926) Prec@1 83.594 (72.656) Prec@5 95.312 (91.445) Test: [230/391] Time 0.100 (0.116) Loss 2.0620 (1.1075) Prec@1 51.562 (72.423) Prec@5 82.812 (91.274) Test: [240/391] Time 0.105 (0.115) Loss 1.3196 (1.1170) Prec@1 73.438 (72.306) Prec@5 85.156 (91.095) Test: [250/391] Time 0.101 (0.115) Loss 0.8662 (1.1414) Prec@1 79.688 (71.707) Prec@5 93.750 (90.802) Test: [260/391] Time 0.102 (0.115) Loss 1.4232 (1.1566) Prec@1 64.062 (71.399) Prec@5 86.719 (90.619) Test: [270/391] Time 0.105 (0.114) Loss 1.9870 (1.1667) Prec@1 53.125 (71.157) Prec@5 84.375 (90.490) Test: [280/391] Time 0.106 (0.114) Loss 1.3242 (1.1743) Prec@1 65.625 (71.033) Prec@5 89.844 (90.400) Test: [290/391] Time 0.103 (0.114) Loss 1.6370 (1.1857) Prec@1 50.000 (70.764) Prec@5 87.500 (90.209) Test: [300/391] Time 0.100 (0.113) Loss 1.2298 (1.1958) Prec@1 75.000 (70.577) Prec@5 89.062 (90.062) Test: [310/391] Time 0.101 (0.113) Loss 1.4676 (1.2045) Prec@1 70.312 (70.441) Prec@5 84.375 (89.897) Test: [320/391] Time 0.101 (0.113) Loss 0.7902 (1.2119) Prec@1 83.594 (70.337) Prec@5 92.969 (89.819) Test: [330/391] Time 0.102 (0.113) Loss 1.9723 (1.2304) Prec@1 58.594 (69.942) Prec@5 81.250 (89.589) Test: [340/391] Time 0.102 (0.112) Loss 1.1420 (1.2367) Prec@1 64.844 (69.772) Prec@5 92.969 (89.509) Test: [350/391] Time 0.105 (0.112) Loss 1.3852 (1.2412) Prec@1 68.750 (69.703) Prec@5 87.500 (89.423) Test: [360/391] Time 0.098 (0.112) Loss 1.4235 (1.2491) Prec@1 56.250 (69.531) Prec@5 89.844 (89.350) Test: [370/391] Time 0.104 (0.112) Loss 1.3080 (1.2450) Prec@1 64.062 (69.580) Prec@5 93.750 (89.412) Test: [380/391] Time 0.111 (0.112) Loss 1.0530 (1.2478) Prec@1 73.438 (69.523) Prec@5 92.188 (89.380) Test: [390/391] Time 0.072 (0.111) Loss 1.9608 (1.2421) Prec@1 40.000 (69.660) Prec@5 82.500 (89.448) * Prec@1 69.660 Prec@5 89.448 Epoch: [67][0/10010] Time 2.847 (2.847) Data 2.676 (2.676) Loss 1.5960 (1.5960) Prec@1 65.625 (65.625) Prec@5 84.375 (84.375) Epoch: [67][10/10010] Time 0.314 (0.545) Data 0.001 (0.244) Loss 1.3484 (1.3922) Prec@1 70.312 (67.969) Prec@5 89.062 (86.080) Epoch: [67][20/10010] Time 0.320 (0.437) Data 0.000 (0.128) Loss 1.5280 (1.4255) Prec@1 64.844 (67.299) Prec@5 82.812 (86.012) Epoch: [67][30/10010] Time 0.307 (0.397) Data 0.001 (0.087) Loss 1.3437 (1.4240) Prec@1 73.438 (67.490) Prec@5 85.938 (85.862) Epoch: [67][40/10010] Time 0.318 (0.378) Data 0.000 (0.066) Loss 1.0645 (1.3787) Prec@1 72.656 (68.407) Prec@5 88.281 (86.357) Epoch: [67][50/10010] Time 0.322 (0.366) Data 0.000 (0.053) Loss 1.6686 (1.4003) Prec@1 67.188 (67.984) Prec@5 80.469 (85.999) Epoch: [67][60/10010] Time 0.319 (0.358) Data 0.001 (0.044) Loss 1.5152 (1.3998) Prec@1 68.750 (68.161) Prec@5 83.594 (85.989) Epoch: [67][70/10010] Time 0.339 (0.353) Data 0.001 (0.038) Loss 1.3101 (1.4002) Prec@1 67.969 (68.035) Prec@5 86.719 (86.004) Epoch: [67][80/10010] Time 0.317 (0.350) Data 0.001 (0.034) Loss 1.3682 (1.4013) Prec@1 67.969 (67.843) Prec@5 89.844 (86.073) Epoch: [67][90/10010] Time 0.337 (0.347) Data 0.000 (0.030) Loss 1.8448 (1.4033) Prec@1 61.719 (67.866) Prec@5 77.344 (86.023) Epoch: [67][100/10010] Time 0.328 (0.346) Data 0.001 (0.027) Loss 1.4317 (1.3979) Prec@1 67.188 (67.938) Prec@5 89.062 (86.170) Epoch: [67][110/10010] Time 0.314 (0.343) Data 0.000 (0.025) Loss 1.4319 (1.3994) Prec@1 71.875 (67.891) Prec@5 83.594 (86.092) Epoch: [67][120/10010] Time 0.335 (0.342) Data 0.001 (0.023) Loss 1.2629 (1.4001) Prec@1 68.750 (67.782) Prec@5 83.594 (86.118) Epoch: [67][130/10010] Time 0.330 (0.341) Data 0.000 (0.021) Loss 1.5763 (1.4028) Prec@1 65.625 (67.808) Prec@5 85.156 (86.140) Epoch: [67][140/10010] Time 0.338 (0.340) Data 0.001 (0.020) Loss 1.3754 (1.4051) Prec@1 70.312 (67.742) Prec@5 85.938 (86.087) Epoch: [67][150/10010] Time 0.316 (0.339) Data 0.001 (0.018) Loss 1.4151 (1.4111) Prec@1 67.969 (67.663) Prec@5 85.938 (86.025) Epoch: [67][160/10010] Time 0.323 (0.338) Data 0.000 (0.017) Loss 1.0714 (1.4052) Prec@1 78.125 (67.770) Prec@5 89.844 (86.069) Epoch: [67][170/10010] Time 0.318 (0.337) Data 0.001 (0.016) Loss 1.5693 (1.4092) Prec@1 66.406 (67.612) Prec@5 85.156 (86.006) Epoch: [67][180/10010] Time 0.321 (0.336) Data 0.001 (0.015) Loss 1.4454 (1.4060) Prec@1 64.062 (67.697) Prec@5 86.719 (86.067) Epoch: [67][190/10010] Time 0.331 (0.336) Data 0.000 (0.015) Loss 1.4557 (1.4054) Prec@1 64.062 (67.617) Prec@5 85.938 (86.085) Epoch: [67][200/10010] Time 0.320 (0.335) Data 0.001 (0.014) Loss 1.4507 (1.4046) Prec@1 67.188 (67.627) Prec@5 83.594 (86.109) Epoch: [67][210/10010] Time 0.322 (0.335) Data 0.000 (0.013) Loss 1.5936 (1.4105) Prec@1 60.938 (67.480) Prec@5 82.031 (85.967) Epoch: [67][220/10010] Time 0.318 (0.334) Data 0.000 (0.013) Loss 1.3010 (1.4111) Prec@1 65.625 (67.421) Prec@5 90.625 (85.983) Epoch: [67][230/10010] Time 0.331 (0.334) Data 0.001 (0.012) Loss 1.4185 (1.4093) Prec@1 70.312 (67.458) Prec@5 86.719 (86.009) Epoch: [67][240/10010] Time 0.339 (0.334) Data 0.001 (0.012) Loss 1.6572 (1.4118) Prec@1 66.406 (67.408) Prec@5 82.812 (86.002) Epoch: [67][250/10010] Time 0.333 (0.334) Data 0.001 (0.011) Loss 1.5356 (1.4142) Prec@1 64.844 (67.340) Prec@5 86.719 (86.015) Epoch: [67][260/10010] Time 0.321 (0.333) Data 0.001 (0.011) Loss 1.7679 (1.4144) Prec@1 63.281 (67.298) Prec@5 84.375 (86.027) Epoch: [67][270/10010] Time 0.321 (0.333) Data 0.001 (0.010) Loss 1.4192 (1.4131) Prec@1 71.094 (67.384) Prec@5 85.938 (86.044) Epoch: [67][280/10010] Time 0.313 (0.333) Data 0.001 (0.010) Loss 1.6977 (1.4148) Prec@1 62.500 (67.329) Prec@5 82.812 (86.021) Epoch: [67][290/10010] Time 0.314 (0.332) Data 0.001 (0.010) Loss 1.1603 (1.4150) Prec@1 75.781 (67.354) Prec@5 91.406 (86.029) Epoch: [67][300/10010] Time 0.319 (0.332) Data 0.001 (0.009) Loss 1.3916 (1.4159) Prec@1 66.406 (67.325) Prec@5 86.719 (86.031) Epoch: [67][310/10010] Time 0.324 (0.332) Data 0.001 (0.009) Loss 1.4229 (1.4173) Prec@1 67.969 (67.308) Prec@5 87.500 (85.988) Epoch: [67][320/10010] Time 0.326 (0.331) Data 0.000 (0.009) Loss 1.1913 (1.4168) Prec@1 74.219 (67.346) Prec@5 89.844 (85.993) Epoch: [67][330/10010] Time 0.337 (0.331) Data 0.001 (0.009) Loss 1.1902 (1.4167) Prec@1 67.969 (67.355) Prec@5 92.188 (86.006) Epoch: [67][340/10010] Time 0.322 (0.331) Data 0.001 (0.008) Loss 1.2333 (1.4140) Prec@1 71.875 (67.368) Prec@5 90.625 (86.047) Epoch: [67][350/10010] Time 0.333 (0.331) Data 0.000 (0.008) Loss 1.6597 (1.4117) Prec@1 61.719 (67.417) Prec@5 82.031 (86.082) Epoch: [67][360/10010] Time 0.321 (0.331) Data 0.001 (0.008) Loss 1.5383 (1.4150) Prec@1 69.531 (67.345) Prec@5 83.594 (86.009) Epoch: [67][370/10010] Time 0.313 (0.331) Data 0.001 (0.008) Loss 1.6404 (1.4141) Prec@1 64.062 (67.366) Prec@5 80.469 (86.032) Epoch: [67][380/10010] Time 0.318 (0.330) Data 0.001 (0.008) Loss 1.2095 (1.4139) Prec@1 68.750 (67.329) Prec@5 88.281 (86.034) Epoch: [67][390/10010] Time 0.331 (0.330) Data 0.001 (0.007) Loss 1.2145 (1.4133) Prec@1 75.000 (67.361) Prec@5 89.062 (86.051) Epoch: [67][400/10010] Time 0.329 (0.330) Data 0.001 (0.007) Loss 1.2338 (1.4097) Prec@1 73.438 (67.451) Prec@5 88.281 (86.101) Epoch: [67][410/10010] Time 0.321 (0.330) Data 0.000 (0.007) Loss 1.2797 (1.4115) Prec@1 65.625 (67.431) Prec@5 89.844 (86.061) Epoch: [67][420/10010] Time 0.323 (0.330) Data 0.000 (0.007) Loss 1.1752 (1.4102) Prec@1 71.094 (67.449) Prec@5 89.062 (86.086) Epoch: [67][430/10010] Time 0.318 (0.330) Data 0.000 (0.007) Loss 1.4770 (1.4091) Prec@1 66.406 (67.461) Prec@5 85.156 (86.110) Epoch: [67][440/10010] Time 0.329 (0.330) Data 0.001 (0.007) Loss 1.7082 (1.4077) Prec@1 56.250 (67.462) Prec@5 85.938 (86.150) Epoch: [67][450/10010] Time 0.331 (0.330) Data 0.001 (0.007) Loss 1.4523 (1.4069) Prec@1 71.875 (67.492) Prec@5 83.594 (86.171) Epoch: [67][460/10010] Time 0.335 (0.330) Data 0.000 (0.006) Loss 1.4440 (1.4067) Prec@1 68.750 (67.526) Prec@5 85.156 (86.171) Epoch: [67][470/10010] Time 0.335 (0.330) Data 0.001 (0.006) Loss 1.3313 (1.4056) Prec@1 68.750 (67.541) Prec@5 85.938 (86.180) Epoch: [67][480/10010] Time 0.324 (0.330) Data 0.000 (0.006) Loss 1.2024 (1.4046) Prec@1 74.219 (67.545) Prec@5 88.281 (86.205) Epoch: [67][490/10010] Time 0.325 (0.330) Data 0.000 (0.006) Loss 1.4061 (1.4049) Prec@1 67.969 (67.549) Prec@5 83.594 (86.200) Epoch: [67][500/10010] Time 0.310 (0.329) Data 0.001 (0.006) Loss 1.2749 (1.4058) Prec@1 69.531 (67.537) Prec@5 89.062 (86.210) Epoch: [67][510/10010] Time 0.325 (0.329) Data 0.000 (0.006) Loss 1.4665 (1.4038) Prec@1 65.625 (67.559) Prec@5 84.375 (86.236) Epoch: [67][520/10010] Time 0.339 (0.329) Data 0.000 (0.006) Loss 1.3505 (1.4062) Prec@1 70.312 (67.538) Prec@5 86.719 (86.192) Epoch: [67][530/10010] Time 0.336 (0.329) Data 0.000 (0.006) Loss 1.2452 (1.4049) Prec@1 71.094 (67.554) Prec@5 85.938 (86.210) Epoch: [67][540/10010] Time 0.334 (0.329) Data 0.001 (0.006) Loss 1.5717 (1.4036) Prec@1 64.844 (67.556) Prec@5 85.938 (86.219) Epoch: [67][550/10010] Time 0.335 (0.329) Data 0.001 (0.005) Loss 1.3212 (1.4031) Prec@1 66.406 (67.538) Prec@5 87.500 (86.242) Epoch: [67][560/10010] Time 0.333 (0.329) Data 0.000 (0.005) Loss 1.3107 (1.4034) Prec@1 68.750 (67.519) Prec@5 84.375 (86.223) Epoch: [67][570/10010] Time 0.338 (0.329) Data 0.001 (0.005) Loss 1.4184 (1.4029) Prec@1 70.312 (67.519) Prec@5 86.719 (86.222) Epoch: [67][580/10010] Time 0.336 (0.329) Data 0.001 (0.005) Loss 1.3345 (1.4037) Prec@1 70.312 (67.522) Prec@5 84.375 (86.212) Epoch: [67][590/10010] Time 0.316 (0.329) Data 0.001 (0.005) Loss 1.5136 (1.4031) Prec@1 62.500 (67.514) Prec@5 85.156 (86.236) Epoch: [67][600/10010] Time 0.323 (0.329) Data 0.000 (0.005) Loss 1.6577 (1.4038) Prec@1 64.062 (67.520) Prec@5 79.688 (86.238) Epoch: [67][610/10010] Time 0.330 (0.329) Data 0.001 (0.005) Loss 1.5948 (1.4031) Prec@1 62.500 (67.540) Prec@5 85.156 (86.234) Epoch: [67][620/10010] Time 0.323 (0.329) Data 0.001 (0.005) Loss 1.4498 (1.4025) Prec@1 67.969 (67.549) Prec@5 83.594 (86.243) Epoch: [67][630/10010] Time 0.315 (0.329) Data 0.001 (0.005) Loss 1.2843 (1.4026) Prec@1 68.750 (67.560) Prec@5 87.500 (86.248) Epoch: [67][640/10010] Time 0.317 (0.329) Data 0.001 (0.005) Loss 1.5408 (1.4029) Prec@1 62.500 (67.557) Prec@5 87.500 (86.245) Epoch: [67][650/10010] Time 0.320 (0.329) Data 0.001 (0.005) Loss 1.2381 (1.4032) Prec@1 69.531 (67.556) Prec@5 89.844 (86.234) Epoch: [67][660/10010] Time 0.339 (0.329) Data 0.000 (0.005) Loss 1.3791 (1.4033) Prec@1 60.938 (67.546) Prec@5 86.719 (86.234) Epoch: [67][670/10010] Time 0.337 (0.328) Data 0.000 (0.005) Loss 1.1761 (1.4027) Prec@1 75.781 (67.559) Prec@5 89.062 (86.239) Epoch: [67][680/10010] Time 0.334 (0.329) Data 0.000 (0.005) Loss 1.1117 (1.4010) Prec@1 74.219 (67.575) Prec@5 90.625 (86.264) Epoch: [67][690/10010] Time 0.333 (0.329) Data 0.000 (0.004) Loss 1.2929 (1.4011) Prec@1 67.969 (67.581) Prec@5 88.281 (86.257) Epoch: [67][700/10010] Time 0.328 (0.329) Data 0.001 (0.004) Loss 1.3316 (1.4003) Prec@1 71.875 (67.599) Prec@5 84.375 (86.275) Epoch: [67][710/10010] Time 0.321 (0.328) Data 0.001 (0.004) Loss 1.1741 (1.4004) Prec@1 70.312 (67.598) Prec@5 91.406 (86.275) Epoch: [67][720/10010] Time 0.343 (0.329) Data 0.000 (0.004) Loss 1.1268 (1.4013) Prec@1 77.344 (67.622) Prec@5 91.406 (86.258) Epoch: [67][730/10010] Time 0.311 (0.329) Data 0.001 (0.004) Loss 1.6340 (1.4004) Prec@1 57.812 (67.656) Prec@5 82.812 (86.269) Epoch: [67][740/10010] Time 0.324 (0.328) Data 0.000 (0.004) Loss 1.3757 (1.4005) Prec@1 66.406 (67.666) Prec@5 84.375 (86.270) Epoch: [67][750/10010] Time 0.330 (0.328) Data 0.001 (0.004) Loss 1.2297 (1.3997) Prec@1 71.094 (67.679) Prec@5 87.500 (86.272) Epoch: [67][760/10010] Time 0.315 (0.328) Data 0.001 (0.004) Loss 1.3699 (1.4003) Prec@1 71.875 (67.666) Prec@5 86.719 (86.269) Epoch: [67][770/10010] Time 0.317 (0.328) Data 0.001 (0.004) Loss 1.3017 (1.3997) Prec@1 68.750 (67.672) Prec@5 89.844 (86.288) Epoch: [67][780/10010] Time 0.339 (0.328) Data 0.000 (0.004) Loss 1.2917 (1.3991) Prec@1 67.188 (67.685) Prec@5 89.844 (86.306) Epoch: [67][790/10010] Time 0.322 (0.328) Data 0.000 (0.004) Loss 1.2511 (1.3997) Prec@1 70.312 (67.664) Prec@5 88.281 (86.309) Epoch: [67][800/10010] Time 0.324 (0.328) Data 0.001 (0.004) Loss 1.9352 (1.4003) Prec@1 60.938 (67.656) Prec@5 77.344 (86.294) Epoch: [67][810/10010] Time 0.338 (0.328) Data 0.001 (0.004) Loss 1.4689 (1.4006) Prec@1 64.062 (67.638) Prec@5 86.719 (86.290) Epoch: [67][820/10010] Time 0.336 (0.328) Data 0.001 (0.004) Loss 1.1923 (1.3999) Prec@1 71.094 (67.659) Prec@5 88.281 (86.307) Epoch: [67][830/10010] Time 0.315 (0.328) Data 0.000 (0.004) Loss 1.6891 (1.4008) Prec@1 64.844 (67.646) Prec@5 78.906 (86.276) Epoch: [67][840/10010] Time 0.326 (0.328) Data 0.001 (0.004) Loss 1.3452 (1.4011) Prec@1 67.969 (67.637) Prec@5 87.500 (86.287) Epoch: [67][850/10010] Time 0.328 (0.328) Data 0.001 (0.004) Loss 1.1654 (1.3999) Prec@1 72.656 (67.664) Prec@5 88.281 (86.310) Epoch: [67][860/10010] Time 0.326 (0.328) Data 0.000 (0.004) Loss 1.5404 (1.4009) Prec@1 64.844 (67.654) Prec@5 85.938 (86.303) Epoch: [67][870/10010] Time 0.315 (0.328) Data 0.001 (0.004) Loss 1.4587 (1.4000) Prec@1 67.188 (67.672) Prec@5 85.156 (86.304) Epoch: [67][880/10010] Time 0.340 (0.328) Data 0.000 (0.004) Loss 1.5291 (1.3999) Prec@1 64.062 (67.680) Prec@5 89.062 (86.316) Epoch: [67][890/10010] Time 0.328 (0.328) Data 0.001 (0.004) Loss 1.4724 (1.3998) Prec@1 64.844 (67.684) Prec@5 88.281 (86.324) Epoch: [67][900/10010] Time 0.328 (0.328) Data 0.001 (0.004) Loss 1.2144 (1.3992) Prec@1 67.188 (67.699) Prec@5 88.281 (86.349) Epoch: [67][910/10010] Time 0.339 (0.328) Data 0.001 (0.004) Loss 1.7293 (1.3994) Prec@1 64.062 (67.700) Prec@5 83.594 (86.347) Epoch: [67][920/10010] Time 0.319 (0.328) Data 0.000 (0.004) Loss 1.6606 (1.4000) Prec@1 64.062 (67.710) Prec@5 80.469 (86.336) Epoch: [67][930/10010] Time 0.311 (0.328) Data 0.000 (0.003) Loss 1.3652 (1.3992) Prec@1 64.844 (67.705) Prec@5 88.281 (86.351) Epoch: [67][940/10010] Time 0.323 (0.328) Data 0.000 (0.003) Loss 1.4528 (1.3990) Prec@1 66.406 (67.713) Prec@5 86.719 (86.343) Epoch: [67][950/10010] Time 0.330 (0.328) Data 0.001 (0.003) Loss 1.4869 (1.3992) Prec@1 65.625 (67.718) Prec@5 81.250 (86.339) Epoch: [67][960/10010] Time 0.336 (0.328) Data 0.000 (0.003) Loss 1.5710 (1.4000) Prec@1 60.938 (67.691) Prec@5 81.250 (86.333) Epoch: [67][970/10010] Time 0.338 (0.328) Data 0.001 (0.003) Loss 1.5127 (1.3999) Prec@1 64.844 (67.691) Prec@5 84.375 (86.337) Epoch: [67][980/10010] Time 0.341 (0.328) Data 0.001 (0.003) Loss 1.4535 (1.3994) Prec@1 64.062 (67.684) Prec@5 86.719 (86.348) Epoch: [67][990/10010] Time 0.336 (0.328) Data 0.001 (0.003) Loss 1.4680 (1.4001) Prec@1 65.625 (67.681) Prec@5 87.500 (86.335) Epoch: [67][1000/10010] Time 0.324 (0.328) Data 0.000 (0.003) Loss 1.0239 (1.3996) Prec@1 79.688 (67.703) Prec@5 91.406 (86.335) Epoch: [67][1010/10010] Time 0.330 (0.328) Data 0.000 (0.003) Loss 1.1461 (1.3994) Prec@1 70.312 (67.701) Prec@5 90.625 (86.337) Epoch: [67][1020/10010] Time 0.333 (0.328) Data 0.001 (0.003) Loss 1.3573 (1.3992) Prec@1 66.406 (67.708) Prec@5 83.594 (86.344) Epoch: [67][1030/10010] Time 0.315 (0.328) Data 0.001 (0.003) Loss 1.2419 (1.3980) Prec@1 72.656 (67.731) Prec@5 85.156 (86.357) Epoch: [67][1040/10010] Time 0.341 (0.328) Data 0.000 (0.003) Loss 1.1883 (1.3978) Prec@1 73.438 (67.719) Prec@5 89.844 (86.370) Epoch: [67][1050/10010] Time 0.340 (0.328) Data 0.000 (0.003) Loss 1.2667 (1.3978) Prec@1 67.188 (67.710) Prec@5 86.719 (86.371) Epoch: [67][1060/10010] Time 0.323 (0.328) Data 0.000 (0.003) Loss 1.1685 (1.3975) Prec@1 69.531 (67.715) Prec@5 89.062 (86.370) Epoch: [67][1070/10010] Time 0.314 (0.328) Data 0.001 (0.003) Loss 1.1547 (1.3967) Prec@1 70.312 (67.732) Prec@5 92.188 (86.382) Epoch: [67][1080/10010] Time 0.339 (0.328) Data 0.001 (0.003) Loss 1.2967 (1.3957) Prec@1 70.312 (67.747) Prec@5 88.281 (86.397) Epoch: [67][1090/10010] Time 0.316 (0.328) Data 0.000 (0.003) Loss 1.1073 (1.3955) Prec@1 71.094 (67.748) Prec@5 91.406 (86.400) Epoch: [67][1100/10010] Time 0.318 (0.328) Data 0.001 (0.003) Loss 1.2582 (1.3958) Prec@1 66.406 (67.730) Prec@5 88.281 (86.393) Epoch: [67][1110/10010] Time 0.326 (0.328) Data 0.000 (0.003) Loss 1.7312 (1.3961) Prec@1 64.062 (67.721) Prec@5 80.469 (86.390) Epoch: [67][1120/10010] Time 0.318 (0.328) Data 0.000 (0.003) Loss 1.5614 (1.3967) Prec@1 62.500 (67.707) Prec@5 85.156 (86.390) Epoch: [67][1130/10010] Time 0.342 (0.328) Data 0.000 (0.003) Loss 1.6274 (1.3963) Prec@1 64.844 (67.708) Prec@5 80.469 (86.392) Epoch: [67][1140/10010] Time 0.319 (0.328) Data 0.000 (0.003) Loss 1.4336 (1.3957) Prec@1 70.312 (67.722) Prec@5 85.938 (86.404) Epoch: [67][1150/10010] Time 0.330 (0.328) Data 0.001 (0.003) Loss 1.4730 (1.3958) Prec@1 68.750 (67.716) Prec@5 85.156 (86.407) Epoch: [67][1160/10010] Time 0.326 (0.328) Data 0.001 (0.003) Loss 1.3965 (1.3956) Prec@1 64.062 (67.706) Prec@5 88.281 (86.422) Epoch: [67][1170/10010] Time 0.321 (0.328) Data 0.000 (0.003) Loss 1.2897 (1.3955) Prec@1 67.188 (67.719) Prec@5 86.719 (86.411) Epoch: [67][1180/10010] Time 0.312 (0.328) Data 0.001 (0.003) Loss 1.2464 (1.3950) Prec@1 66.406 (67.713) Prec@5 88.281 (86.413) Epoch: [67][1190/10010] Time 0.341 (0.328) Data 0.000 (0.003) Loss 1.2236 (1.3950) Prec@1 71.875 (67.721) Prec@5 86.719 (86.402) Epoch: [67][1200/10010] Time 0.336 (0.328) Data 0.001 (0.003) Loss 1.6474 (1.3955) Prec@1 61.719 (67.693) Prec@5 81.250 (86.395) Epoch: [67][1210/10010] Time 0.326 (0.328) Data 0.000 (0.003) Loss 1.1546 (1.3955) Prec@1 71.875 (67.698) Prec@5 87.500 (86.394) Epoch: [67][1220/10010] Time 0.318 (0.328) Data 0.000 (0.003) Loss 1.4937 (1.3955) Prec@1 65.625 (67.696) Prec@5 88.281 (86.394) Epoch: [67][1230/10010] Time 0.321 (0.328) Data 0.001 (0.003) Loss 1.4336 (1.3953) Prec@1 64.062 (67.703) Prec@5 88.281 (86.398) Epoch: [67][1240/10010] Time 0.313 (0.328) Data 0.000 (0.003) Loss 1.1858 (1.3955) Prec@1 73.438 (67.706) Prec@5 89.844 (86.400) Epoch: [67][1250/10010] Time 0.333 (0.328) Data 0.000 (0.003) Loss 1.6517 (1.3952) Prec@1 60.938 (67.706) Prec@5 82.812 (86.408) Epoch: [67][1260/10010] Time 0.324 (0.328) Data 0.001 (0.003) Loss 1.2543 (1.3953) Prec@1 71.094 (67.700) Prec@5 88.281 (86.408) Epoch: [67][1270/10010] Time 0.335 (0.328) Data 0.000 (0.003) Loss 1.3826 (1.3957) Prec@1 67.969 (67.694) Prec@5 86.719 (86.395) Epoch: [67][1280/10010] Time 0.322 (0.328) Data 0.000 (0.003) Loss 1.5050 (1.3958) Prec@1 64.844 (67.697) Prec@5 85.938 (86.391) Epoch: [67][1290/10010] Time 0.326 (0.328) Data 0.001 (0.003) Loss 1.3550 (1.3961) Prec@1 69.531 (67.694) Prec@5 90.625 (86.385) Epoch: [67][1300/10010] Time 0.337 (0.328) Data 0.001 (0.003) Loss 1.3442 (1.3954) Prec@1 68.750 (67.709) Prec@5 86.719 (86.397) Epoch: [67][1310/10010] Time 0.323 (0.328) Data 0.000 (0.003) Loss 1.4449 (1.3952) Prec@1 68.750 (67.725) Prec@5 87.500 (86.404) Epoch: [67][1320/10010] Time 0.317 (0.328) Data 0.000 (0.003) Loss 1.2135 (1.3951) Prec@1 71.875 (67.729) Prec@5 89.844 (86.412) Epoch: [67][1330/10010] Time 0.323 (0.328) Data 0.001 (0.003) Loss 1.4510 (1.3949) Prec@1 57.812 (67.732) Prec@5 83.594 (86.418) Epoch: [67][1340/10010] Time 0.330 (0.328) Data 0.001 (0.003) Loss 1.5611 (1.3953) Prec@1 62.500 (67.708) Prec@5 83.594 (86.415) Epoch: [67][1350/10010] Time 0.320 (0.328) Data 0.000 (0.003) Loss 1.1317 (1.3944) Prec@1 72.656 (67.713) Prec@5 92.969 (86.429) Epoch: [67][1360/10010] Time 0.320 (0.328) Data 0.000 (0.003) Loss 1.4977 (1.3942) Prec@1 71.094 (67.727) Prec@5 85.938 (86.428) Epoch: [67][1370/10010] Time 0.332 (0.328) Data 0.001 (0.003) Loss 1.4125 (1.3945) Prec@1 63.281 (67.720) Prec@5 87.500 (86.427) Epoch: [67][1380/10010] Time 0.326 (0.328) Data 0.001 (0.003) Loss 1.3722 (1.3943) Prec@1 71.875 (67.726) Prec@5 86.719 (86.427) Epoch: [67][1390/10010] Time 0.322 (0.328) Data 0.001 (0.003) Loss 1.7307 (1.3942) Prec@1 61.719 (67.726) Prec@5 82.031 (86.424) Epoch: [67][1400/10010] Time 0.334 (0.328) Data 0.000 (0.003) Loss 1.4273 (1.3938) Prec@1 66.406 (67.736) Prec@5 87.500 (86.433) Epoch: [67][1410/10010] Time 0.323 (0.328) Data 0.000 (0.002) Loss 1.3453 (1.3944) Prec@1 67.969 (67.721) Prec@5 87.500 (86.423) Epoch: [67][1420/10010] Time 0.319 (0.328) Data 0.001 (0.002) Loss 1.5130 (1.3947) Prec@1 61.719 (67.708) Prec@5 86.719 (86.419) Epoch: [67][1430/10010] Time 0.335 (0.328) Data 0.000 (0.002) Loss 1.4111 (1.3945) Prec@1 65.625 (67.705) Prec@5 85.156 (86.420) Epoch: [67][1440/10010] Time 0.321 (0.328) Data 0.000 (0.002) Loss 1.4277 (1.3943) Prec@1 63.281 (67.706) Prec@5 89.062 (86.427) Epoch: [67][1450/10010] Time 0.332 (0.328) Data 0.000 (0.002) Loss 1.7874 (1.3947) Prec@1 57.812 (67.704) Prec@5 81.250 (86.422) Epoch: [67][1460/10010] Time 0.332 (0.327) Data 0.001 (0.002) Loss 1.6073 (1.3942) Prec@1 66.406 (67.709) Prec@5 82.031 (86.426) Epoch: [67][1470/10010] Time 0.340 (0.327) Data 0.001 (0.002) Loss 1.4062 (1.3937) Prec@1 67.188 (67.718) Prec@5 85.156 (86.431) Epoch: [67][1480/10010] Time 0.325 (0.328) Data 0.000 (0.002) Loss 1.5475 (1.3936) Prec@1 67.969 (67.710) Prec@5 85.156 (86.429) Epoch: [67][1490/10010] Time 0.338 (0.327) Data 0.000 (0.002) Loss 1.4994 (1.3940) Prec@1 60.938 (67.695) Prec@5 86.719 (86.426) Epoch: [67][1500/10010] Time 0.322 (0.327) Data 0.001 (0.002) Loss 1.3360 (1.3938) Prec@1 72.656 (67.694) Prec@5 85.156 (86.429) Epoch: [67][1510/10010] Time 0.320 (0.327) Data 0.000 (0.002) Loss 1.4474 (1.3939) Prec@1 68.750 (67.689) Prec@5 85.938 (86.434) Epoch: [67][1520/10010] Time 0.318 (0.327) Data 0.000 (0.002) Loss 1.4652 (1.3936) Prec@1 69.531 (67.693) Prec@5 83.594 (86.438) Epoch: [67][1530/10010] Time 0.328 (0.327) Data 0.001 (0.002) Loss 1.2502 (1.3935) Prec@1 74.219 (67.697) Prec@5 87.500 (86.446) Epoch: [67][1540/10010] Time 0.337 (0.327) Data 0.000 (0.002) Loss 1.3513 (1.3939) Prec@1 66.406 (67.691) Prec@5 87.500 (86.444) Epoch: [67][1550/10010] Time 0.319 (0.327) Data 0.001 (0.002) Loss 1.4532 (1.3939) Prec@1 67.969 (67.685) Prec@5 84.375 (86.441) Epoch: [67][1560/10010] Time 0.340 (0.327) Data 0.001 (0.002) Loss 1.3568 (1.3937) Prec@1 67.188 (67.690) Prec@5 89.062 (86.446) Epoch: [67][1570/10010] Time 0.331 (0.327) Data 0.001 (0.002) Loss 1.5688 (1.3942) Prec@1 67.188 (67.683) Prec@5 83.594 (86.438) Epoch: [67][1580/10010] Time 0.330 (0.327) Data 0.000 (0.002) Loss 1.2567 (1.3939) Prec@1 67.969 (67.686) Prec@5 86.719 (86.442) Epoch: [67][1590/10010] Time 0.338 (0.327) Data 0.000 (0.002) Loss 1.4260 (1.3939) Prec@1 64.844 (67.683) Prec@5 88.281 (86.443) Epoch: [67][1600/10010] Time 0.339 (0.327) Data 0.001 (0.002) Loss 1.3788 (1.3939) Prec@1 69.531 (67.695) Prec@5 84.375 (86.436) Epoch: [67][1610/10010] Time 0.316 (0.327) Data 0.000 (0.002) Loss 1.0981 (1.3934) Prec@1 78.125 (67.707) Prec@5 89.844 (86.443) Epoch: [67][1620/10010] Time 0.317 (0.327) Data 0.001 (0.002) Loss 1.5071 (1.3936) Prec@1 64.844 (67.696) Prec@5 86.719 (86.442) Epoch: [67][1630/10010] Time 0.321 (0.327) Data 0.000 (0.002) Loss 1.3975 (1.3939) Prec@1 73.438 (67.697) Prec@5 87.500 (86.439) Epoch: [67][1640/10010] Time 0.321 (0.327) Data 0.000 (0.002) Loss 1.0647 (1.3937) Prec@1 73.438 (67.692) Prec@5 92.188 (86.443) Epoch: [67][1650/10010] Time 0.331 (0.327) Data 0.001 (0.002) Loss 1.1756 (1.3932) Prec@1 74.219 (67.703) Prec@5 90.625 (86.451) Epoch: [67][1660/10010] Time 0.334 (0.327) Data 0.000 (0.002) Loss 1.5689 (1.3931) Prec@1 61.719 (67.693) Prec@5 83.594 (86.448) Epoch: [67][1670/10010] Time 0.316 (0.327) Data 0.001 (0.002) Loss 1.4540 (1.3927) Prec@1 68.750 (67.706) Prec@5 85.156 (86.458) Epoch: [67][1680/10010] Time 0.320 (0.327) Data 0.001 (0.002) Loss 1.3847 (1.3927) Prec@1 67.969 (67.706) Prec@5 82.812 (86.462) Epoch: [67][1690/10010] Time 0.323 (0.327) Data 0.000 (0.002) Loss 1.3929 (1.3931) Prec@1 65.625 (67.692) Prec@5 86.719 (86.454) Epoch: [67][1700/10010] Time 0.315 (0.327) Data 0.000 (0.002) Loss 1.6676 (1.3935) Prec@1 64.062 (67.693) Prec@5 81.250 (86.444) Epoch: [67][1710/10010] Time 0.310 (0.327) Data 0.001 (0.002) Loss 1.3283 (1.3937) Prec@1 71.875 (67.696) Prec@5 85.938 (86.443) Epoch: [67][1720/10010] Time 0.320 (0.327) Data 0.000 (0.002) Loss 1.3538 (1.3938) Prec@1 71.875 (67.695) Prec@5 85.156 (86.441) Epoch: [67][1730/10010] Time 0.315 (0.327) Data 0.000 (0.002) Loss 1.5622 (1.3940) Prec@1 62.500 (67.690) Prec@5 84.375 (86.434) Epoch: [67][1740/10010] Time 0.317 (0.327) Data 0.000 (0.002) Loss 1.4783 (1.3945) Prec@1 69.531 (67.690) Prec@5 83.594 (86.422) Epoch: [67][1750/10010] Time 0.334 (0.327) Data 0.000 (0.002) Loss 1.2669 (1.3942) Prec@1 71.094 (67.701) Prec@5 87.500 (86.420) Epoch: [67][1760/10010] Time 0.313 (0.327) Data 0.000 (0.002) Loss 1.2263 (1.3943) Prec@1 70.312 (67.699) Prec@5 89.844 (86.422) Epoch: [67][1770/10010] Time 0.323 (0.327) Data 0.001 (0.002) Loss 1.2613 (1.3941) Prec@1 66.406 (67.698) Prec@5 86.719 (86.423) Epoch: [67][1780/10010] Time 0.333 (0.327) Data 0.001 (0.002) Loss 1.1498 (1.3938) Prec@1 67.188 (67.702) Prec@5 90.625 (86.429) Epoch: [67][1790/10010] Time 0.339 (0.327) Data 0.000 (0.002) Loss 1.1932 (1.3936) Prec@1 67.969 (67.705) Prec@5 92.969 (86.434) Epoch: [67][1800/10010] Time 0.339 (0.327) Data 0.000 (0.002) Loss 1.5966 (1.3935) Prec@1 63.281 (67.709) Prec@5 85.156 (86.441) Epoch: [67][1810/10010] Time 0.338 (0.327) Data 0.000 (0.002) Loss 1.6895 (1.3938) Prec@1 62.500 (67.703) Prec@5 79.688 (86.438) Epoch: [67][1820/10010] Time 0.336 (0.327) Data 0.000 (0.002) Loss 1.0935 (1.3939) Prec@1 73.438 (67.697) Prec@5 93.750 (86.442) Epoch: [67][1830/10010] Time 0.321 (0.327) Data 0.001 (0.002) Loss 1.2952 (1.3937) Prec@1 70.312 (67.700) Prec@5 87.500 (86.446) Epoch: [67][1840/10010] Time 0.316 (0.327) Data 0.000 (0.002) Loss 1.4304 (1.3935) Prec@1 68.750 (67.707) Prec@5 83.594 (86.446) Epoch: [67][1850/10010] Time 0.336 (0.327) Data 0.000 (0.002) Loss 1.2033 (1.3937) Prec@1 73.438 (67.707) Prec@5 85.938 (86.439) Epoch: [67][1860/10010] Time 0.334 (0.327) Data 0.001 (0.002) Loss 1.3171 (1.3937) Prec@1 66.406 (67.709) Prec@5 87.500 (86.435) Epoch: [67][1870/10010] Time 0.318 (0.327) Data 0.001 (0.002) Loss 1.5060 (1.3938) Prec@1 67.969 (67.711) Prec@5 83.594 (86.433) Epoch: [67][1880/10010] Time 0.315 (0.327) Data 0.000 (0.002) Loss 1.6849 (1.3943) Prec@1 60.156 (67.702) Prec@5 82.031 (86.421) Epoch: [67][1890/10010] Time 0.323 (0.327) Data 0.000 (0.002) Loss 1.3990 (1.3942) Prec@1 65.625 (67.706) Prec@5 85.156 (86.423) Epoch: [67][1900/10010] Time 0.340 (0.327) Data 0.001 (0.002) Loss 1.4704 (1.3945) Prec@1 60.938 (67.707) Prec@5 87.500 (86.421) Epoch: [67][1910/10010] Time 0.320 (0.327) Data 0.000 (0.002) Loss 1.8214 (1.3948) Prec@1 58.594 (67.701) Prec@5 78.906 (86.414) Epoch: [67][1920/10010] Time 0.342 (0.327) Data 0.000 (0.002) Loss 0.9387 (1.3945) Prec@1 79.688 (67.702) Prec@5 94.531 (86.421) Epoch: [67][1930/10010] Time 0.316 (0.327) Data 0.001 (0.002) Loss 1.1889 (1.3945) Prec@1 69.531 (67.696) Prec@5 90.625 (86.425) Epoch: [67][1940/10010] Time 0.343 (0.327) Data 0.001 (0.002) Loss 1.3845 (1.3950) Prec@1 67.969 (67.687) Prec@5 83.594 (86.416) Epoch: [67][1950/10010] Time 0.311 (0.327) Data 0.001 (0.002) Loss 1.7292 (1.3955) Prec@1 61.719 (67.674) Prec@5 77.344 (86.410) Epoch: [67][1960/10010] Time 0.317 (0.327) Data 0.000 (0.002) Loss 1.3610 (1.3956) Prec@1 67.969 (67.676) Prec@5 89.062 (86.408) Epoch: [67][1970/10010] Time 0.312 (0.327) Data 0.000 (0.002) Loss 1.4441 (1.3959) Prec@1 74.219 (67.664) Prec@5 86.719 (86.404) Epoch: [67][1980/10010] Time 0.340 (0.327) Data 0.001 (0.002) Loss 1.2350 (1.3960) Prec@1 70.312 (67.667) Prec@5 89.844 (86.403) Epoch: [67][1990/10010] Time 0.339 (0.327) Data 0.000 (0.002) Loss 1.4703 (1.3955) Prec@1 69.531 (67.674) Prec@5 82.031 (86.410) Epoch: [67][2000/10010] Time 0.339 (0.327) Data 0.000 (0.002) Loss 1.4157 (1.3954) Prec@1 62.500 (67.674) Prec@5 83.594 (86.411) Epoch: [67][2010/10010] Time 0.323 (0.327) Data 0.000 (0.002) Loss 1.3001 (1.3954) Prec@1 71.094 (67.679) Prec@5 88.281 (86.412) Epoch: [67][2020/10010] Time 0.325 (0.327) Data 0.001 (0.002) Loss 1.4045 (1.3955) Prec@1 67.969 (67.671) Prec@5 85.156 (86.409) Epoch: [67][2030/10010] Time 0.338 (0.327) Data 0.001 (0.002) Loss 1.4341 (1.3952) Prec@1 65.625 (67.676) Prec@5 82.031 (86.418) Epoch: [67][2040/10010] Time 0.339 (0.327) Data 0.001 (0.002) Loss 1.3438 (1.3955) Prec@1 69.531 (67.670) Prec@5 88.281 (86.414) Epoch: [67][2050/10010] Time 0.319 (0.327) Data 0.001 (0.002) Loss 1.3928 (1.3957) Prec@1 65.625 (67.669) Prec@5 85.156 (86.412) Epoch: [67][2060/10010] Time 0.321 (0.327) Data 0.001 (0.002) Loss 1.4004 (1.3957) Prec@1 71.094 (67.667) Prec@5 87.500 (86.414) Epoch: [67][2070/10010] Time 0.338 (0.327) Data 0.000 (0.002) Loss 1.3508 (1.3958) Prec@1 66.406 (67.660) Prec@5 86.719 (86.412) Epoch: [67][2080/10010] Time 0.334 (0.327) Data 0.000 (0.002) Loss 1.2129 (1.3958) Prec@1 71.875 (67.662) Prec@5 88.281 (86.405) Epoch: [67][2090/10010] Time 0.324 (0.327) Data 0.000 (0.002) Loss 1.1583 (1.3960) Prec@1 68.750 (67.655) Prec@5 90.625 (86.407) Epoch: [67][2100/10010] Time 0.321 (0.327) Data 0.000 (0.002) Loss 1.6306 (1.3962) Prec@1 60.938 (67.652) Prec@5 81.250 (86.399) Epoch: [67][2110/10010] Time 0.339 (0.327) Data 0.001 (0.002) Loss 1.1735 (1.3965) Prec@1 68.750 (67.652) Prec@5 89.844 (86.393) Epoch: [67][2120/10010] Time 0.332 (0.327) Data 0.000 (0.002) Loss 1.2448 (1.3963) Prec@1 67.969 (67.650) Prec@5 91.406 (86.396) Epoch: [67][2130/10010] Time 0.337 (0.327) Data 0.001 (0.002) Loss 1.2785 (1.3962) Prec@1 67.969 (67.655) Prec@5 87.500 (86.399) Epoch: [67][2140/10010] Time 0.325 (0.327) Data 0.001 (0.002) Loss 1.3829 (1.3961) Prec@1 71.875 (67.659) Prec@5 82.812 (86.396) Epoch: [67][2150/10010] Time 0.334 (0.327) Data 0.001 (0.002) Loss 1.4332 (1.3960) Prec@1 64.062 (67.662) Prec@5 84.375 (86.400) Epoch: [67][2160/10010] Time 0.336 (0.327) Data 0.001 (0.002) Loss 1.3646 (1.3954) Prec@1 67.969 (67.678) Prec@5 90.625 (86.409) Epoch: [67][2170/10010] Time 0.332 (0.327) Data 0.001 (0.002) Loss 1.5713 (1.3952) Prec@1 62.500 (67.678) Prec@5 85.938 (86.411) Epoch: [67][2180/10010] Time 0.332 (0.327) Data 0.001 (0.002) Loss 1.5091 (1.3953) Prec@1 68.750 (67.683) Prec@5 85.156 (86.411) Epoch: [67][2190/10010] Time 0.329 (0.327) Data 0.001 (0.002) Loss 1.5472 (1.3951) Prec@1 63.281 (67.685) Prec@5 86.719 (86.418) Epoch: [67][2200/10010] Time 0.327 (0.327) Data 0.000 (0.002) Loss 1.2159 (1.3952) Prec@1 76.562 (67.684) Prec@5 87.500 (86.418) Epoch: [67][2210/10010] Time 0.335 (0.327) Data 0.001 (0.002) Loss 1.4116 (1.3952) Prec@1 70.312 (67.680) Prec@5 84.375 (86.421) Epoch: [67][2220/10010] Time 0.317 (0.327) Data 0.001 (0.002) Loss 1.2572 (1.3949) Prec@1 66.406 (67.683) Prec@5 88.281 (86.430) Epoch: [67][2230/10010] Time 0.331 (0.327) Data 0.000 (0.002) Loss 1.4976 (1.3953) Prec@1 64.844 (67.672) Prec@5 82.031 (86.424) Epoch: [67][2240/10010] Time 0.331 (0.327) Data 0.000 (0.002) Loss 1.3831 (1.3952) Prec@1 71.094 (67.677) Prec@5 84.375 (86.425) Epoch: [67][2250/10010] Time 0.335 (0.327) Data 0.001 (0.002) Loss 1.1225 (1.3953) Prec@1 72.656 (67.679) Prec@5 90.625 (86.424) Epoch: [67][2260/10010] Time 0.337 (0.327) Data 0.001 (0.002) Loss 1.4970 (1.3955) Prec@1 70.312 (67.674) Prec@5 85.156 (86.418) Epoch: [67][2270/10010] Time 0.323 (0.327) Data 0.000 (0.002) Loss 1.2768 (1.3955) Prec@1 67.188 (67.670) Prec@5 88.281 (86.413) Epoch: [67][2280/10010] Time 0.323 (0.327) Data 0.000 (0.002) Loss 1.6777 (1.3955) Prec@1 56.250 (67.665) Prec@5 85.156 (86.414) Epoch: [67][2290/10010] Time 0.320 (0.327) Data 0.001 (0.002) Loss 1.3402 (1.3956) Prec@1 70.312 (67.668) Prec@5 88.281 (86.413) Epoch: [67][2300/10010] Time 0.328 (0.327) Data 0.001 (0.002) Loss 1.7313 (1.3959) Prec@1 61.719 (67.660) Prec@5 82.812 (86.408) Epoch: [67][2310/10010] Time 0.317 (0.327) Data 0.001 (0.002) Loss 1.6595 (1.3959) Prec@1 64.062 (67.663) Prec@5 83.594 (86.411) Epoch: [67][2320/10010] Time 0.324 (0.327) Data 0.001 (0.002) Loss 1.3235 (1.3958) Prec@1 71.094 (67.671) Prec@5 89.844 (86.415) Epoch: [67][2330/10010] Time 0.316 (0.327) Data 0.001 (0.002) Loss 1.4536 (1.3960) Prec@1 68.750 (67.672) Prec@5 84.375 (86.409) Epoch: [67][2340/10010] Time 0.322 (0.327) Data 0.001 (0.002) Loss 1.3267 (1.3958) Prec@1 71.094 (67.679) Prec@5 87.500 (86.410) Epoch: [67][2350/10010] Time 0.317 (0.327) Data 0.001 (0.002) Loss 1.3140 (1.3959) Prec@1 72.656 (67.688) Prec@5 89.844 (86.407) Epoch: [67][2360/10010] Time 0.333 (0.327) Data 0.001 (0.002) Loss 1.8876 (1.3959) Prec@1 51.562 (67.680) Prec@5 78.906 (86.409) Epoch: [67][2370/10010] Time 0.328 (0.327) Data 0.001 (0.002) Loss 1.1263 (1.3960) Prec@1 73.438 (67.682) Prec@5 89.844 (86.412) Epoch: [67][2380/10010] Time 0.326 (0.327) Data 0.001 (0.002) Loss 1.2012 (1.3955) Prec@1 71.094 (67.684) Prec@5 88.281 (86.419) Epoch: [67][2390/10010] Time 0.321 (0.327) Data 0.000 (0.002) Loss 1.5807 (1.3953) Prec@1 60.938 (67.685) Prec@5 85.938 (86.422) Epoch: [67][2400/10010] Time 0.325 (0.327) Data 0.001 (0.002) Loss 1.1401 (1.3954) Prec@1 70.312 (67.684) Prec@5 89.062 (86.422) Epoch: [67][2410/10010] Time 0.316 (0.327) Data 0.001 (0.002) Loss 1.7372 (1.3955) Prec@1 60.156 (67.682) Prec@5 82.031 (86.420) /data/vision/torralba/deepscene/lib/anaconda2/lib/python2.7/site-packages/PIL/TiffImagePlugin.py:709: UserWarning: Corrupt EXIF data. Expecting to read 4 bytes but only got 0. warnings.warn(str(msg)) Epoch: [67][2420/10010] Time 0.335 (0.327) Data 0.001 (0.002) Loss 1.5154 (1.3956) Prec@1 64.844 (67.678) Prec@5 85.156 (86.416) Epoch: [67][2430/10010] Time 0.320 (0.327) Data 0.000 (0.002) Loss 1.4191 (1.3959) Prec@1 64.844 (67.669) Prec@5 85.156 (86.412) Epoch: [67][2440/10010] Time 0.327 (0.327) Data 0.001 (0.002) Loss 1.6264 (1.3958) Prec@1 64.062 (67.671) Prec@5 81.250 (86.411) Epoch: [67][2450/10010] Time 0.327 (0.327) Data 0.001 (0.002) Loss 1.3097 (1.3961) Prec@1 70.312 (67.666) Prec@5 89.062 (86.409) Epoch: [67][2460/10010] Time 0.314 (0.327) Data 0.001 (0.002) Loss 1.0901 (1.3962) Prec@1 74.219 (67.665) Prec@5 89.844 (86.401) Epoch: [67][2470/10010] Time 0.332 (0.327) Data 0.000 (0.002) Loss 1.5645 (1.3965) Prec@1 66.406 (67.665) Prec@5 82.812 (86.396) Epoch: [67][2480/10010] Time 0.319 (0.327) Data 0.001 (0.002) Loss 1.3979 (1.3967) Prec@1 60.938 (67.653) Prec@5 88.281 (86.394) Epoch: [67][2490/10010] Time 0.337 (0.327) Data 0.000 (0.002) Loss 1.3946 (1.3966) Prec@1 71.094 (67.657) Prec@5 83.594 (86.397) Epoch: [67][2500/10010] Time 0.328 (0.327) Data 0.001 (0.002) Loss 1.4289 (1.3968) Prec@1 66.406 (67.654) Prec@5 87.500 (86.396) Epoch: [67][2510/10010] Time 0.322 (0.327) Data 0.001 (0.002) Loss 1.5652 (1.3974) Prec@1 67.969 (67.643) Prec@5 85.938 (86.382) Epoch: [67][2520/10010] Time 0.342 (0.327) Data 0.001 (0.002) Loss 1.2889 (1.3974) Prec@1 72.656 (67.642) Prec@5 85.938 (86.378) Epoch: [67][2530/10010] Time 0.311 (0.327) Data 0.001 (0.002) Loss 1.2945 (1.3973) Prec@1 68.750 (67.643) Prec@5 88.281 (86.378) Epoch: [67][2540/10010] Time 0.326 (0.327) Data 0.001 (0.002) Loss 1.3398 (1.3975) Prec@1 71.094 (67.641) Prec@5 87.500 (86.376) Epoch: [67][2550/10010] Time 0.334 (0.327) Data 0.001 (0.002) Loss 1.4349 (1.3973) Prec@1 65.625 (67.652) Prec@5 86.719 (86.376) Epoch: [67][2560/10010] Time 0.337 (0.327) Data 0.000 (0.002) Loss 1.5708 (1.3975) Prec@1 64.062 (67.645) Prec@5 83.594 (86.373) Epoch: [67][2570/10010] Time 0.333 (0.327) Data 0.001 (0.002) Loss 1.5044 (1.3977) Prec@1 64.844 (67.646) Prec@5 88.281 (86.371) Epoch: [67][2580/10010] Time 0.317 (0.327) Data 0.001 (0.002) Loss 1.4370 (1.3977) Prec@1 64.062 (67.645) Prec@5 86.719 (86.372) Epoch: [67][2590/10010] Time 0.315 (0.327) Data 0.000 (0.002) Loss 1.2145 (1.3977) Prec@1 71.094 (67.644) Prec@5 87.500 (86.369) Epoch: [67][2600/10010] Time 0.338 (0.327) Data 0.000 (0.002) Loss 1.4807 (1.3973) Prec@1 65.625 (67.653) Prec@5 86.719 (86.377) Epoch: [67][2610/10010] Time 0.324 (0.327) Data 0.001 (0.002) Loss 1.2126 (1.3972) Prec@1 71.094 (67.657) Prec@5 88.281 (86.376) Epoch: [67][2620/10010] Time 0.322 (0.327) Data 0.001 (0.002) Loss 1.2387 (1.3970) Prec@1 71.094 (67.658) Prec@5 87.500 (86.379) Epoch: [67][2630/10010] Time 0.325 (0.327) Data 0.001 (0.002) Loss 1.4817 (1.3971) Prec@1 64.062 (67.655) Prec@5 83.594 (86.375) Epoch: [67][2640/10010] Time 0.314 (0.327) Data 0.001 (0.002) Loss 1.2006 (1.3971) Prec@1 68.750 (67.659) Prec@5 89.844 (86.373) Epoch: [67][2650/10010] Time 0.323 (0.327) Data 0.001 (0.002) Loss 1.3494 (1.3971) Prec@1 67.969 (67.660) Prec@5 85.156 (86.372) Epoch: [67][2660/10010] Time 0.316 (0.327) Data 0.001 (0.002) Loss 1.3892 (1.3971) Prec@1 68.750 (67.661) Prec@5 86.719 (86.372) Epoch: [67][2670/10010] Time 0.318 (0.327) Data 0.001 (0.002) Loss 1.4925 (1.3972) Prec@1 67.188 (67.657) Prec@5 86.719 (86.372) Epoch: [67][2680/10010] Time 0.319 (0.327) Data 0.001 (0.002) Loss 1.2811 (1.3973) Prec@1 63.281 (67.649) Prec@5 89.062 (86.373) Epoch: [67][2690/10010] Time 0.326 (0.327) Data 0.001 (0.002) Loss 1.4041 (1.3970) Prec@1 67.969 (67.650) Prec@5 85.156 (86.379) Epoch: [67][2700/10010] Time 0.335 (0.327) Data 0.000 (0.002) Loss 1.7707 (1.3973) Prec@1 56.250 (67.640) Prec@5 84.375 (86.374) Epoch: [67][2710/10010] Time 0.319 (0.327) Data 0.000 (0.002) Loss 1.4180 (1.3973) Prec@1 67.188 (67.641) Prec@5 85.938 (86.374) Epoch: [67][2720/10010] Time 0.330 (0.327) Data 0.000 (0.002) Loss 1.4647 (1.3976) Prec@1 67.188 (67.637) Prec@5 85.156 (86.370) Epoch: [67][2730/10010] Time 0.316 (0.327) Data 0.001 (0.002) Loss 1.2848 (1.3978) Prec@1 68.750 (67.633) Prec@5 89.062 (86.365) Epoch: [67][2740/10010] Time 0.336 (0.327) Data 0.001 (0.002) Loss 1.4334 (1.3978) Prec@1 68.750 (67.634) Prec@5 85.938 (86.367) Epoch: [67][2750/10010] Time 0.342 (0.327) Data 0.000 (0.002) Loss 1.3816 (1.3979) Prec@1 69.531 (67.630) Prec@5 87.500 (86.364) Epoch: [67][2760/10010] Time 0.336 (0.327) Data 0.001 (0.002) Loss 1.2071 (1.3978) Prec@1 76.562 (67.632) Prec@5 88.281 (86.363) Epoch: [67][2770/10010] Time 0.325 (0.327) Data 0.000 (0.002) Loss 1.5175 (1.3977) Prec@1 65.625 (67.631) Prec@5 83.594 (86.365) Epoch: [67][2780/10010] Time 0.339 (0.327) Data 0.001 (0.002) Loss 1.2004 (1.3974) Prec@1 69.531 (67.638) Prec@5 89.062 (86.369) Epoch: [67][2790/10010] Time 0.318 (0.327) Data 0.001 (0.002) Loss 1.3014 (1.3972) Prec@1 67.188 (67.642) Prec@5 84.375 (86.371) Epoch: [67][2800/10010] Time 0.318 (0.327) Data 0.000 (0.002) Loss 1.3200 (1.3974) Prec@1 71.094 (67.638) Prec@5 90.625 (86.371) Epoch: [67][2810/10010] Time 0.334 (0.327) Data 0.001 (0.002) Loss 1.3510 (1.3976) Prec@1 67.969 (67.632) Prec@5 87.500 (86.367) Epoch: [67][2820/10010] Time 0.321 (0.327) Data 0.001 (0.002) Loss 1.4723 (1.3972) Prec@1 65.625 (67.641) Prec@5 85.156 (86.373) Epoch: [67][2830/10010] Time 0.337 (0.327) Data 0.000 (0.002) Loss 1.5359 (1.3972) Prec@1 64.062 (67.638) Prec@5 85.156 (86.370) Epoch: [67][2840/10010] Time 0.337 (0.327) Data 0.000 (0.002) Loss 2.0051 (1.3974) Prec@1 60.938 (67.636) Prec@5 78.906 (86.369) Epoch: [67][2850/10010] Time 0.343 (0.327) Data 0.001 (0.002) Loss 1.2968 (1.3974) Prec@1 69.531 (67.637) Prec@5 87.500 (86.370) Epoch: [67][2860/10010] Time 0.320 (0.327) Data 0.001 (0.002) Loss 1.7332 (1.3972) Prec@1 65.625 (67.644) Prec@5 79.688 (86.374) Epoch: [67][2870/10010] Time 0.324 (0.327) Data 0.001 (0.002) Loss 1.5332 (1.3974) Prec@1 64.844 (67.641) Prec@5 89.062 (86.374) Epoch: [67][2880/10010] Time 0.314 (0.327) Data 0.001 (0.002) Loss 1.2402 (1.3974) Prec@1 69.531 (67.643) Prec@5 89.844 (86.377) Epoch: [67][2890/10010] Time 0.319 (0.327) Data 0.000 (0.002) Loss 1.4519 (1.3975) Prec@1 68.750 (67.647) Prec@5 85.156 (86.370) Epoch: [67][2900/10010] Time 0.331 (0.327) Data 0.000 (0.002) Loss 1.1858 (1.3974) Prec@1 69.531 (67.640) Prec@5 89.844 (86.371) Epoch: [67][2910/10010] Time 0.343 (0.327) Data 0.000 (0.002) Loss 1.3379 (1.3971) Prec@1 66.406 (67.641) Prec@5 85.938 (86.371) Epoch: [67][2920/10010] Time 0.320 (0.327) Data 0.001 (0.002) Loss 1.4761 (1.3972) Prec@1 67.969 (67.635) Prec@5 85.938 (86.373) Epoch: [67][2930/10010] Time 0.342 (0.327) Data 0.000 (0.002) Loss 1.3388 (1.3974) Prec@1 67.969 (67.633) Prec@5 87.500 (86.373) Epoch: [67][2940/10010] Time 0.337 (0.327) Data 0.000 (0.002) Loss 1.5448 (1.3972) Prec@1 62.500 (67.627) Prec@5 80.469 (86.377) Epoch: [67][2950/10010] Time 0.322 (0.327) Data 0.000 (0.002) Loss 1.6493 (1.3974) Prec@1 64.844 (67.628) Prec@5 83.594 (86.374) Epoch: [67][2960/10010] Time 0.324 (0.327) Data 0.001 (0.002) Loss 1.2699 (1.3974) Prec@1 66.406 (67.626) Prec@5 85.938 (86.374) Epoch: [67][2970/10010] Time 0.337 (0.327) Data 0.001 (0.002) Loss 1.6553 (1.3974) Prec@1 63.281 (67.627) Prec@5 81.250 (86.372) Epoch: [67][2980/10010] Time 0.338 (0.327) Data 0.001 (0.002) Loss 1.1046 (1.3975) Prec@1 75.781 (67.625) Prec@5 89.062 (86.369) Epoch: [67][2990/10010] Time 0.313 (0.327) Data 0.001 (0.001) Loss 1.6158 (1.3975) Prec@1 62.500 (67.629) Prec@5 85.156 (86.370) Epoch: [67][3000/10010] Time 0.321 (0.327) Data 0.001 (0.001) Loss 1.3506 (1.3974) Prec@1 71.094 (67.631) Prec@5 85.938 (86.369) Epoch: [67][3010/10010] Time 0.340 (0.327) Data 0.001 (0.001) Loss 1.4639 (1.3979) Prec@1 70.312 (67.627) Prec@5 85.938 (86.363) Epoch: [67][3020/10010] Time 0.314 (0.327) Data 0.000 (0.001) Loss 1.1258 (1.3977) Prec@1 71.875 (67.635) Prec@5 88.281 (86.365) Epoch: [67][3030/10010] Time 0.330 (0.327) Data 0.001 (0.001) Loss 1.2995 (1.3976) Prec@1 70.312 (67.635) Prec@5 86.719 (86.366) Epoch: [67][3040/10010] Time 0.339 (0.327) Data 0.000 (0.001) Loss 1.1348 (1.3976) Prec@1 71.094 (67.634) Prec@5 89.062 (86.366) Epoch: [67][3050/10010] Time 0.324 (0.327) Data 0.000 (0.001) Loss 1.0894 (1.3973) Prec@1 72.656 (67.638) Prec@5 91.406 (86.371) Epoch: [67][3060/10010] Time 0.325 (0.327) Data 0.000 (0.001) Loss 1.2689 (1.3972) Prec@1 68.750 (67.639) Prec@5 89.062 (86.372) Epoch: [67][3070/10010] Time 0.336 (0.327) Data 0.001 (0.001) Loss 1.4870 (1.3970) Prec@1 69.531 (67.643) Prec@5 82.812 (86.377) Epoch: [67][3080/10010] Time 0.335 (0.327) Data 0.000 (0.001) Loss 1.4361 (1.3967) Prec@1 69.531 (67.647) Prec@5 85.938 (86.381) Epoch: [67][3090/10010] Time 0.324 (0.327) Data 0.000 (0.001) Loss 1.5144 (1.3969) Prec@1 67.969 (67.649) Prec@5 82.031 (86.376) Epoch: [67][3100/10010] Time 0.313 (0.327) Data 0.001 (0.001) Loss 1.3930 (1.3968) Prec@1 67.969 (67.648) Prec@5 88.281 (86.378) Epoch: [67][3110/10010] Time 0.336 (0.327) Data 0.001 (0.001) Loss 1.4974 (1.3969) Prec@1 63.281 (67.644) Prec@5 87.500 (86.376) Epoch: [67][3120/10010] Time 0.340 (0.327) Data 0.000 (0.001) Loss 1.3156 (1.3969) Prec@1 68.750 (67.645) Prec@5 87.500 (86.377) Epoch: [67][3130/10010] Time 0.337 (0.327) Data 0.000 (0.001) Loss 1.3879 (1.3968) Prec@1 66.406 (67.645) Prec@5 83.594 (86.379) Epoch: [67][3140/10010] Time 0.325 (0.327) Data 0.001 (0.001) Loss 1.2158 (1.3968) Prec@1 71.875 (67.644) Prec@5 89.062 (86.380) Epoch: [67][3150/10010] Time 0.321 (0.327) Data 0.001 (0.001) Loss 1.5107 (1.3970) Prec@1 64.062 (67.644) Prec@5 84.375 (86.377) Epoch: [67][3160/10010] Time 0.336 (0.327) Data 0.000 (0.001) Loss 1.2807 (1.3969) Prec@1 69.531 (67.647) Prec@5 87.500 (86.377) Epoch: [67][3170/10010] Time 0.325 (0.327) Data 0.001 (0.001) Loss 1.4930 (1.3973) Prec@1 64.844 (67.639) Prec@5 82.812 (86.368) Epoch: [67][3180/10010] Time 0.314 (0.327) Data 0.001 (0.001) Loss 1.1040 (1.3975) Prec@1 71.875 (67.633) Prec@5 94.531 (86.365) Epoch: [67][3190/10010] Time 0.342 (0.327) Data 0.001 (0.001) Loss 1.2682 (1.3976) Prec@1 71.094 (67.636) Prec@5 87.500 (86.365) Epoch: [67][3200/10010] Time 0.322 (0.327) Data 0.000 (0.001) Loss 1.5231 (1.3975) Prec@1 64.844 (67.639) Prec@5 88.281 (86.367) Epoch: [67][3210/10010] Time 0.341 (0.327) Data 0.001 (0.001) Loss 1.2874 (1.3976) Prec@1 68.750 (67.634) Prec@5 90.625 (86.367) Epoch: [67][3220/10010] Time 0.318 (0.327) Data 0.000 (0.001) Loss 1.3299 (1.3977) Prec@1 73.438 (67.634) Prec@5 88.281 (86.366) Epoch: [67][3230/10010] Time 0.327 (0.327) Data 0.000 (0.001) Loss 1.6637 (1.3981) Prec@1 62.500 (67.625) Prec@5 85.156 (86.360) Epoch: [67][3240/10010] Time 0.336 (0.327) Data 0.000 (0.001) Loss 1.4451 (1.3981) Prec@1 67.969 (67.620) Prec@5 88.281 (86.361) Epoch: [67][3250/10010] Time 0.314 (0.327) Data 0.001 (0.001) Loss 1.5705 (1.3983) Prec@1 59.375 (67.615) Prec@5 85.938 (86.358) Epoch: [67][3260/10010] Time 0.319 (0.327) Data 0.001 (0.001) Loss 1.3645 (1.3984) Prec@1 69.531 (67.617) Prec@5 83.594 (86.353) Epoch: [67][3270/10010] Time 0.335 (0.327) Data 0.000 (0.001) Loss 1.1029 (1.3984) Prec@1 75.781 (67.618) Prec@5 92.188 (86.354) Epoch: [67][3280/10010] Time 0.333 (0.327) Data 0.002 (0.001) Loss 1.3684 (1.3985) Prec@1 64.844 (67.611) Prec@5 89.844 (86.354) Epoch: [67][3290/10010] Time 0.319 (0.327) Data 0.001 (0.001) Loss 1.6691 (1.3986) Prec@1 63.281 (67.611) Prec@5 83.594 (86.352) Epoch: [67][3300/10010] Time 0.340 (0.327) Data 0.000 (0.001) Loss 1.2601 (1.3985) Prec@1 75.000 (67.616) Prec@5 89.062 (86.353) Epoch: [67][3310/10010] Time 0.323 (0.327) Data 0.001 (0.001) Loss 1.2297 (1.3985) Prec@1 73.438 (67.613) Prec@5 91.406 (86.356) Epoch: [67][3320/10010] Time 0.337 (0.327) Data 0.000 (0.001) Loss 1.2848 (1.3987) Prec@1 69.531 (67.612) Prec@5 88.281 (86.354) Epoch: [67][3330/10010] Time 0.337 (0.327) Data 0.001 (0.001) Loss 1.6218 (1.3989) Prec@1 60.938 (67.610) Prec@5 82.031 (86.353) Epoch: [67][3340/10010] Time 0.321 (0.327) Data 0.001 (0.001) Loss 1.4260 (1.3990) Prec@1 65.625 (67.610) Prec@5 85.938 (86.350) Epoch: [67][3350/10010] Time 0.338 (0.327) Data 0.001 (0.001) Loss 1.3902 (1.3988) Prec@1 67.969 (67.615) Prec@5 85.938 (86.354) Epoch: [67][3360/10010] Time 0.326 (0.327) Data 0.001 (0.001) Loss 1.5476 (1.3988) Prec@1 69.531 (67.619) Prec@5 86.719 (86.353) Epoch: [67][3370/10010] Time 0.325 (0.327) Data 0.001 (0.001) Loss 1.3933 (1.3988) Prec@1 70.312 (67.618) Prec@5 86.719 (86.356) Epoch: [67][3380/10010] Time 0.313 (0.327) Data 0.000 (0.001) Loss 1.4146 (1.3986) Prec@1 65.625 (67.620) Prec@5 86.719 (86.359) Epoch: [67][3390/10010] Time 0.320 (0.327) Data 0.000 (0.001) Loss 1.1059 (1.3986) Prec@1 75.000 (67.618) Prec@5 90.625 (86.358) Epoch: [67][3400/10010] Time 0.339 (0.327) Data 0.000 (0.001) Loss 1.2224 (1.3984) Prec@1 66.406 (67.620) Prec@5 89.844 (86.362) Epoch: [67][3410/10010] Time 0.329 (0.327) Data 0.000 (0.001) Loss 1.2372 (1.3984) Prec@1 67.969 (67.615) Prec@5 89.844 (86.362) Epoch: [67][3420/10010] Time 0.327 (0.327) Data 0.001 (0.001) Loss 1.5983 (1.3983) Prec@1 61.719 (67.616) Prec@5 85.938 (86.365) Epoch: [67][3430/10010] Time 0.330 (0.327) Data 0.001 (0.001) Loss 1.3591 (1.3983) Prec@1 68.750 (67.618) Prec@5 88.281 (86.367) Epoch: [67][3440/10010] Time 0.339 (0.327) Data 0.000 (0.001) Loss 1.4198 (1.3984) Prec@1 71.094 (67.623) Prec@5 86.719 (86.367) Epoch: [67][3450/10010] Time 0.315 (0.327) Data 0.001 (0.001) Loss 1.3649 (1.3982) Prec@1 66.406 (67.624) Prec@5 88.281 (86.369) Epoch: [67][3460/10010] Time 0.333 (0.327) Data 0.000 (0.001) Loss 1.3543 (1.3982) Prec@1 67.969 (67.623) Prec@5 86.719 (86.369) Epoch: [67][3470/10010] Time 0.333 (0.327) Data 0.001 (0.001) Loss 1.1934 (1.3981) Prec@1 76.562 (67.626) Prec@5 89.062 (86.372) Epoch: [67][3480/10010] Time 0.329 (0.327) Data 0.001 (0.001) Loss 1.4090 (1.3982) Prec@1 69.531 (67.628) Prec@5 84.375 (86.371) Epoch: [67][3490/10010] Time 0.322 (0.327) Data 0.000 (0.001) Loss 1.5366 (1.3982) Prec@1 63.281 (67.632) Prec@5 86.719 (86.371) Epoch: [67][3500/10010] Time 0.317 (0.327) Data 0.001 (0.001) Loss 1.2245 (1.3984) Prec@1 71.094 (67.628) Prec@5 85.156 (86.365) Epoch: [67][3510/10010] Time 0.318 (0.327) Data 0.000 (0.001) Loss 1.2749 (1.3984) Prec@1 70.312 (67.631) Prec@5 88.281 (86.367) Epoch: [67][3520/10010] Time 0.329 (0.327) Data 0.001 (0.001) Loss 1.7187 (1.3985) Prec@1 62.500 (67.624) Prec@5 84.375 (86.365) Epoch: [67][3530/10010] Time 0.332 (0.327) Data 0.000 (0.001) Loss 1.6736 (1.3985) Prec@1 65.625 (67.622) Prec@5 79.688 (86.364) /data/vision/torralba/deepscene/lib/anaconda2/lib/python2.7/site-packages/PIL/TiffImagePlugin.py:692: UserWarning: Possibly corrupt EXIF data. Expecting to read 2555904 bytes but only got 0. Skipping tag 0 "Skipping tag %s" % (size, len(data), tag)) Epoch: [67][3540/10010] Time 0.319 (0.327) Data 0.001 (0.001) Loss 1.3925 (1.3984) Prec@1 66.406 (67.625) Prec@5 88.281 (86.366) Epoch: [67][3550/10010] Time 0.317 (0.327) Data 0.000 (0.001) Loss 1.4957 (1.3985) Prec@1 67.969 (67.629) Prec@5 81.250 (86.364) Epoch: [67][3560/10010] Time 0.326 (0.327) Data 0.000 (0.001) Loss 1.0772 (1.3985) Prec@1 77.344 (67.633) Prec@5 90.625 (86.363) Epoch: [67][3570/10010] Time 0.330 (0.327) Data 0.001 (0.001) Loss 1.6355 (1.3987) Prec@1 59.375 (67.624) Prec@5 79.688 (86.359) Epoch: [67][3580/10010] Time 0.332 (0.327) Data 0.000 (0.001) Loss 1.5777 (1.3986) Prec@1 59.375 (67.625) Prec@5 83.594 (86.361) Epoch: [67][3590/10010] Time 0.314 (0.327) Data 0.001 (0.001) Loss 1.7189 (1.3985) Prec@1 57.812 (67.627) Prec@5 82.812 (86.364) Epoch: [67][3600/10010] Time 0.340 (0.327) Data 0.001 (0.001) Loss 1.3309 (1.3985) Prec@1 74.219 (67.630) Prec@5 87.500 (86.366) Epoch: [67][3610/10010] Time 0.323 (0.327) Data 0.000 (0.001) Loss 1.2008 (1.3983) Prec@1 78.125 (67.634) Prec@5 89.062 (86.368) Epoch: [67][3620/10010] Time 0.316 (0.327) Data 0.001 (0.001) Loss 1.4978 (1.3984) Prec@1 59.375 (67.632) Prec@5 85.938 (86.367) Epoch: [67][3630/10010] Time 0.331 (0.327) Data 0.001 (0.001) Loss 1.8247 (1.3990) Prec@1 58.594 (67.621) Prec@5 80.469 (86.358) Epoch: [67][3640/10010] Time 0.341 (0.327) Data 0.001 (0.001) Loss 1.3062 (1.3990) Prec@1 73.438 (67.622) Prec@5 86.719 (86.355) Epoch: [67][3650/10010] Time 0.327 (0.327) Data 0.001 (0.001) Loss 1.4602 (1.3988) Prec@1 60.938 (67.626) Prec@5 88.281 (86.361) Epoch: [67][3660/10010] Time 0.335 (0.327) Data 0.001 (0.001) Loss 1.3136 (1.3988) Prec@1 70.312 (67.625) Prec@5 89.062 (86.359) Epoch: [67][3670/10010] Time 0.320 (0.327) Data 0.000 (0.001) Loss 1.3383 (1.3989) Prec@1 67.969 (67.622) Prec@5 88.281 (86.356) Epoch: [67][3680/10010] Time 0.312 (0.327) Data 0.001 (0.001) Loss 1.7288 (1.3989) Prec@1 61.719 (67.620) Prec@5 80.469 (86.358) Epoch: [67][3690/10010] Time 0.332 (0.327) Data 0.001 (0.001) Loss 1.4320 (1.3989) Prec@1 63.281 (67.619) Prec@5 89.062 (86.363) Epoch: [67][3700/10010] Time 0.335 (0.327) Data 0.001 (0.001) Loss 1.0914 (1.3986) Prec@1 75.000 (67.623) Prec@5 88.281 (86.367) Epoch: [67][3710/10010] Time 0.320 (0.327) Data 0.001 (0.001) Loss 1.7111 (1.3984) Prec@1 64.844 (67.627) Prec@5 85.156 (86.373) Epoch: [67][3720/10010] Time 0.331 (0.327) Data 0.001 (0.001) Loss 1.3685 (1.3982) Prec@1 64.062 (67.631) Prec@5 86.719 (86.373) Epoch: [67][3730/10010] Time 0.320 (0.327) Data 0.000 (0.001) Loss 1.3922 (1.3982) Prec@1 69.531 (67.632) Prec@5 83.594 (86.372) Epoch: [67][3740/10010] Time 0.332 (0.327) Data 0.001 (0.001) Loss 1.7120 (1.3981) Prec@1 65.625 (67.636) Prec@5 79.688 (86.374) Epoch: [67][3750/10010] Time 0.331 (0.327) Data 0.001 (0.001) Loss 1.6923 (1.3985) Prec@1 62.500 (67.628) Prec@5 81.250 (86.369) Epoch: [67][3760/10010] Time 0.341 (0.327) Data 0.000 (0.001) Loss 1.2765 (1.3986) Prec@1 72.656 (67.630) Prec@5 89.844 (86.367) Epoch: [67][3770/10010] Time 0.324 (0.327) Data 0.001 (0.001) Loss 1.2114 (1.3985) Prec@1 72.656 (67.632) Prec@5 90.625 (86.371) Epoch: [67][3780/10010] Time 0.324 (0.327) Data 0.000 (0.001) Loss 1.4750 (1.3985) Prec@1 69.531 (67.631) Prec@5 83.594 (86.372) Epoch: [67][3790/10010] Time 0.338 (0.327) Data 0.000 (0.001) Loss 1.3882 (1.3985) Prec@1 67.969 (67.633) Prec@5 82.812 (86.371) Epoch: [67][3800/10010] Time 0.319 (0.327) Data 0.000 (0.001) Loss 1.4878 (1.3984) Prec@1 64.062 (67.636) Prec@5 84.375 (86.372) Epoch: [67][3810/10010] Time 0.325 (0.327) Data 0.001 (0.001) Loss 1.2834 (1.3984) Prec@1 67.188 (67.635) Prec@5 90.625 (86.375) Epoch: [67][3820/10010] Time 0.335 (0.327) Data 0.001 (0.001) Loss 1.4338 (1.3981) Prec@1 66.406 (67.639) Prec@5 87.500 (86.381) Epoch: [67][3830/10010] Time 0.346 (0.327) Data 0.001 (0.001) Loss 1.6450 (1.3982) Prec@1 60.156 (67.633) Prec@5 82.031 (86.378) Epoch: [67][3840/10010] Time 0.343 (0.327) Data 0.001 (0.001) Loss 1.6626 (1.3980) Prec@1 68.750 (67.638) Prec@5 78.906 (86.379) Epoch: [67][3850/10010] Time 0.330 (0.327) Data 0.000 (0.001) Loss 1.5102 (1.3981) Prec@1 66.406 (67.643) Prec@5 86.719 (86.380) Epoch: [67][3860/10010] Time 0.311 (0.327) Data 0.001 (0.001) Loss 0.9851 (1.3980) Prec@1 78.906 (67.647) Prec@5 87.500 (86.377) Epoch: [67][3870/10010] Time 0.320 (0.327) Data 0.001 (0.001) Loss 1.1445 (1.3983) Prec@1 76.562 (67.645) Prec@5 91.406 (86.374) Epoch: [67][3880/10010] Time 0.317 (0.327) Data 0.000 (0.001) Loss 1.2682 (1.3981) Prec@1 68.750 (67.650) Prec@5 89.844 (86.378) Epoch: [67][3890/10010] Time 0.329 (0.327) Data 0.000 (0.001) Loss 1.4120 (1.3982) Prec@1 66.406 (67.647) Prec@5 81.250 (86.375) Epoch: [67][3900/10010] Time 0.325 (0.327) Data 0.000 (0.001) Loss 1.3818 (1.3981) Prec@1 67.188 (67.651) Prec@5 88.281 (86.377) Epoch: [67][3910/10010] Time 0.333 (0.327) Data 0.000 (0.001) Loss 1.3242 (1.3981) Prec@1 66.406 (67.651) Prec@5 89.062 (86.377) Epoch: [67][3920/10010] Time 0.331 (0.327) Data 0.000 (0.001) Loss 1.7083 (1.3983) Prec@1 66.406 (67.650) Prec@5 80.469 (86.374) Epoch: [67][3930/10010] Time 0.322 (0.327) Data 0.000 (0.001) Loss 1.6115 (1.3984) Prec@1 61.719 (67.646) Prec@5 84.375 (86.374) Epoch: [67][3940/10010] Time 0.320 (0.327) Data 0.001 (0.001) Loss 1.3139 (1.3985) Prec@1 71.094 (67.644) Prec@5 86.719 (86.371) Epoch: [67][3950/10010] Time 0.320 (0.327) Data 0.001 (0.001) Loss 1.3563 (1.3985) Prec@1 65.625 (67.645) Prec@5 88.281 (86.371) Epoch: [67][3960/10010] Time 0.316 (0.327) Data 0.001 (0.001) Loss 1.5405 (1.3984) Prec@1 61.719 (67.644) Prec@5 84.375 (86.374) Epoch: [67][3970/10010] Time 0.331 (0.327) Data 0.001 (0.001) Loss 1.4210 (1.3983) Prec@1 67.969 (67.646) Prec@5 85.156 (86.375) Epoch: [67][3980/10010] Time 0.329 (0.327) Data 0.001 (0.001) Loss 1.4000 (1.3983) Prec@1 63.281 (67.643) Prec@5 86.719 (86.375) Epoch: [67][3990/10010] Time 0.327 (0.327) Data 0.001 (0.001) Loss 1.4597 (1.3983) Prec@1 67.969 (67.644) Prec@5 86.719 (86.373) Epoch: [67][4000/10010] Time 0.329 (0.327) Data 0.000 (0.001) Loss 1.8450 (1.3985) Prec@1 62.500 (67.644) Prec@5 82.031 (86.371) Epoch: [67][4010/10010] Time 0.336 (0.327) Data 0.000 (0.001) Loss 1.6941 (1.3986) Prec@1 64.844 (67.645) Prec@5 85.938 (86.369) Epoch: [67][4020/10010] Time 0.340 (0.327) Data 0.000 (0.001) Loss 1.1233 (1.3986) Prec@1 68.750 (67.642) Prec@5 91.406 (86.370) Epoch: [67][4030/10010] Time 0.323 (0.327) Data 0.000 (0.001) Loss 1.4606 (1.3987) Prec@1 64.062 (67.641) Prec@5 88.281 (86.369) Epoch: [67][4040/10010] Time 0.321 (0.327) Data 0.000 (0.001) Loss 1.3862 (1.3988) Prec@1 63.281 (67.641) Prec@5 84.375 (86.366) Epoch: [67][4050/10010] Time 0.323 (0.327) Data 0.001 (0.001) Loss 1.3413 (1.3989) Prec@1 69.531 (67.640) Prec@5 86.719 (86.364) Epoch: [67][4060/10010] Time 0.335 (0.327) Data 0.001 (0.001) Loss 1.0514 (1.3988) Prec@1 70.312 (67.643) Prec@5 93.750 (86.367) Epoch: [67][4070/10010] Time 0.337 (0.327) Data 0.000 (0.001) Loss 1.3618 (1.3988) Prec@1 75.000 (67.646) Prec@5 86.719 (86.367) Epoch: [67][4080/10010] Time 0.325 (0.327) Data 0.001 (0.001) Loss 1.3911 (1.3987) Prec@1 61.719 (67.647) Prec@5 89.062 (86.371) Epoch: [67][4090/10010] Time 0.335 (0.327) Data 0.001 (0.001) Loss 1.3394 (1.3987) Prec@1 67.969 (67.646) Prec@5 87.500 (86.371) Epoch: [67][4100/10010] Time 0.324 (0.327) Data 0.001 (0.001) Loss 1.2984 (1.3988) Prec@1 68.750 (67.644) Prec@5 85.938 (86.369) Epoch: [67][4110/10010] Time 0.332 (0.327) Data 0.001 (0.001) Loss 1.3593 (1.3989) Prec@1 71.094 (67.645) Prec@5 88.281 (86.366) Epoch: [67][4120/10010] Time 0.312 (0.327) Data 0.000 (0.001) Loss 1.2290 (1.3985) Prec@1 73.438 (67.652) Prec@5 89.844 (86.372) Epoch: [67][4130/10010] Time 0.328 (0.327) Data 0.001 (0.001) Loss 1.4901 (1.3985) Prec@1 71.094 (67.654) Prec@5 85.156 (86.373) Epoch: [67][4140/10010] Time 0.333 (0.327) Data 0.000 (0.001) Loss 1.3597 (1.3983) Prec@1 68.750 (67.658) Prec@5 85.156 (86.377) Epoch: [67][4150/10010] Time 0.322 (0.327) Data 0.001 (0.001) Loss 1.4785 (1.3983) Prec@1 69.531 (67.659) Prec@5 88.281 (86.378) Epoch: [67][4160/10010] Time 0.335 (0.327) Data 0.000 (0.001) Loss 1.1552 (1.3982) Prec@1 71.094 (67.661) Prec@5 89.062 (86.377) Epoch: [67][4170/10010] Time 0.341 (0.327) Data 0.000 (0.001) Loss 1.3587 (1.3982) Prec@1 68.750 (67.661) Prec@5 85.938 (86.377) Epoch: [67][4180/10010] Time 0.332 (0.327) Data 0.000 (0.001) Loss 1.6583 (1.3982) Prec@1 67.969 (67.662) Prec@5 82.812 (86.377) Epoch: [67][4190/10010] Time 0.340 (0.327) Data 0.001 (0.001) Loss 1.5754 (1.3983) Prec@1 61.719 (67.659) Prec@5 85.938 (86.378) Epoch: [67][4200/10010] Time 0.340 (0.327) Data 0.001 (0.001) Loss 1.5082 (1.3984) Prec@1 69.531 (67.657) Prec@5 87.500 (86.378) Epoch: [67][4210/10010] Time 0.339 (0.327) Data 0.000 (0.001) Loss 1.6568 (1.3985) Prec@1 59.375 (67.653) Prec@5 81.250 (86.379) Epoch: [67][4220/10010] Time 0.334 (0.327) Data 0.002 (0.001) Loss 1.3992 (1.3985) Prec@1 62.500 (67.649) Prec@5 85.938 (86.378) Epoch: [67][4230/10010] Time 0.314 (0.327) Data 0.000 (0.001) Loss 1.2737 (1.3983) Prec@1 67.969 (67.652) Prec@5 88.281 (86.382) Epoch: [67][4240/10010] Time 0.319 (0.327) Data 0.001 (0.001) Loss 1.4781 (1.3984) Prec@1 59.375 (67.652) Prec@5 87.500 (86.382) Epoch: [67][4250/10010] Time 0.336 (0.327) Data 0.001 (0.001) Loss 1.1961 (1.3983) Prec@1 69.531 (67.654) Prec@5 89.844 (86.381) Epoch: [67][4260/10010] Time 0.321 (0.327) Data 0.000 (0.001) Loss 1.4349 (1.3984) Prec@1 67.188 (67.652) Prec@5 87.500 (86.382) Epoch: [67][4270/10010] Time 0.315 (0.327) Data 0.001 (0.001) Loss 1.7118 (1.3987) Prec@1 60.938 (67.644) Prec@5 79.688 (86.379) Epoch: [67][4280/10010] Time 0.327 (0.327) Data 0.001 (0.001) Loss 1.7439 (1.3988) Prec@1 61.719 (67.643) Prec@5 79.688 (86.381) Epoch: [67][4290/10010] Time 0.326 (0.327) Data 0.001 (0.001) Loss 1.5239 (1.3989) Prec@1 61.719 (67.636) Prec@5 88.281 (86.381) Epoch: [67][4300/10010] Time 0.334 (0.327) Data 0.001 (0.001) Loss 1.3058 (1.3990) Prec@1 71.094 (67.633) Prec@5 87.500 (86.379) Epoch: [67][4310/10010] Time 0.319 (0.327) Data 0.000 (0.001) Loss 1.3431 (1.3991) Prec@1 67.188 (67.632) Prec@5 90.625 (86.376) Epoch: [67][4320/10010] Time 0.340 (0.327) Data 0.000 (0.001) Loss 1.2248 (1.3991) Prec@1 71.094 (67.632) Prec@5 89.844 (86.379) Epoch: [67][4330/10010] Time 0.317 (0.327) Data 0.001 (0.001) Loss 1.2579 (1.3991) Prec@1 70.312 (67.632) Prec@5 88.281 (86.378) Epoch: [67][4340/10010] Time 0.337 (0.327) Data 0.001 (0.001) Loss 1.4076 (1.3990) Prec@1 67.969 (67.631) Prec@5 84.375 (86.379) Epoch: [67][4350/10010] Time 0.332 (0.327) Data 0.001 (0.001) Loss 1.6140 (1.3991) Prec@1 63.281 (67.629) Prec@5 80.469 (86.378) Epoch: [67][4360/10010] Time 0.324 (0.327) Data 0.000 (0.001) Loss 1.3577 (1.3989) Prec@1 65.625 (67.632) Prec@5 88.281 (86.381) Epoch: [67][4370/10010] Time 0.329 (0.327) Data 0.000 (0.001) Loss 1.2901 (1.3988) Prec@1 71.094 (67.635) Prec@5 88.281 (86.382) Epoch: [67][4380/10010] Time 0.310 (0.327) Data 0.001 (0.001) Loss 1.4353 (1.3988) Prec@1 62.500 (67.631) Prec@5 86.719 (86.383) Epoch: [67][4390/10010] Time 0.331 (0.327) Data 0.001 (0.001) Loss 1.4461 (1.3988) Prec@1 67.969 (67.629) Prec@5 86.719 (86.381) Epoch: [67][4400/10010] Time 0.327 (0.327) Data 0.001 (0.001) Loss 1.3986 (1.3988) Prec@1 68.750 (67.628) Prec@5 85.156 (86.379) Epoch: [67][4410/10010] Time 0.308 (0.327) Data 0.001 (0.001) Loss 1.3107 (1.3988) Prec@1 67.969 (67.628) Prec@5 90.625 (86.379) Epoch: [67][4420/10010] Time 0.321 (0.327) Data 0.000 (0.001) Loss 1.4554 (1.3989) Prec@1 64.062 (67.628) Prec@5 83.594 (86.376) Epoch: [67][4430/10010] Time 0.331 (0.327) Data 0.000 (0.001) Loss 1.5265 (1.3990) Prec@1 63.281 (67.627) Prec@5 85.938 (86.377) Epoch: [67][4440/10010] Time 0.334 (0.327) Data 0.001 (0.001) Loss 1.3211 (1.3990) Prec@1 70.312 (67.624) Prec@5 89.844 (86.377) Epoch: [67][4450/10010] Time 0.328 (0.327) Data 0.000 (0.001) Loss 1.5052 (1.3992) Prec@1 66.406 (67.621) Prec@5 82.812 (86.375) Epoch: [67][4460/10010] Time 0.337 (0.327) Data 0.001 (0.001) Loss 1.2395 (1.3992) Prec@1 71.875 (67.618) Prec@5 89.062 (86.376) Epoch: [67][4470/10010] Time 0.324 (0.327) Data 0.001 (0.001) Loss 1.5029 (1.3993) Prec@1 66.406 (67.617) Prec@5 83.594 (86.378) Epoch: [67][4480/10010] Time 0.333 (0.327) Data 0.000 (0.001) Loss 1.5929 (1.3992) Prec@1 62.500 (67.621) Prec@5 82.031 (86.380) Epoch: [67][4490/10010] Time 0.308 (0.327) Data 0.001 (0.001) Loss 1.5156 (1.3993) Prec@1 65.625 (67.616) Prec@5 84.375 (86.378) Epoch: [67][4500/10010] Time 0.333 (0.327) Data 0.001 (0.001) Loss 1.0818 (1.3992) Prec@1 71.875 (67.623) Prec@5 91.406 (86.380) Epoch: [67][4510/10010] Time 0.321 (0.327) Data 0.000 (0.001) Loss 1.1692 (1.3993) Prec@1 74.219 (67.625) Prec@5 89.844 (86.378) Epoch: [67][4520/10010] Time 0.320 (0.327) Data 0.001 (0.001) Loss 1.2991 (1.3992) Prec@1 68.750 (67.625) Prec@5 89.844 (86.379) Epoch: [67][4530/10010] Time 0.335 (0.327) Data 0.001 (0.001) Loss 1.4667 (1.3993) Prec@1 64.844 (67.622) Prec@5 88.281 (86.380) Epoch: [67][4540/10010] Time 0.326 (0.327) Data 0.001 (0.001) Loss 1.3428 (1.3992) Prec@1 71.875 (67.624) Prec@5 87.500 (86.381) Epoch: [67][4550/10010] Time 0.340 (0.327) Data 0.000 (0.001) Loss 1.6561 (1.3994) Prec@1 61.719 (67.620) Prec@5 84.375 (86.379) Epoch: [67][4560/10010] Time 0.329 (0.327) Data 0.001 (0.001) Loss 1.4224 (1.3996) Prec@1 64.062 (67.618) Prec@5 89.062 (86.377) Epoch: [67][4570/10010] Time 0.329 (0.327) Data 0.001 (0.001) Loss 1.1252 (1.3998) Prec@1 72.656 (67.615) Prec@5 91.406 (86.376) Epoch: [67][4580/10010] Time 0.323 (0.327) Data 0.001 (0.001) Loss 1.3373 (1.3997) Prec@1 68.750 (67.618) Prec@5 88.281 (86.377) Epoch: [67][4590/10010] Time 0.330 (0.327) Data 0.000 (0.001) Loss 1.1829 (1.3996) Prec@1 69.531 (67.618) Prec@5 91.406 (86.378) Epoch: [67][4600/10010] Time 0.327 (0.327) Data 0.001 (0.001) Loss 1.3470 (1.3995) Prec@1 70.312 (67.620) Prec@5 84.375 (86.380) Epoch: [67][4610/10010] Time 0.331 (0.327) Data 0.000 (0.001) Loss 1.2947 (1.3993) Prec@1 64.844 (67.622) Prec@5 89.062 (86.380) Epoch: [67][4620/10010] Time 0.337 (0.327) Data 0.001 (0.001) Loss 1.4839 (1.3992) Prec@1 68.750 (67.621) Prec@5 87.500 (86.382) Epoch: [67][4630/10010] Time 0.333 (0.327) Data 0.000 (0.001) Loss 1.2240 (1.3993) Prec@1 69.531 (67.619) Prec@5 88.281 (86.382) Epoch: [67][4640/10010] Time 0.312 (0.327) Data 0.000 (0.001) Loss 1.5563 (1.3993) Prec@1 69.531 (67.619) Prec@5 85.938 (86.383) Epoch: [67][4650/10010] Time 0.338 (0.327) Data 0.000 (0.001) Loss 1.3580 (1.3993) Prec@1 71.094 (67.621) Prec@5 85.938 (86.382) Epoch: [67][4660/10010] Time 0.327 (0.327) Data 0.000 (0.001) Loss 1.4593 (1.3993) Prec@1 66.406 (67.620) Prec@5 86.719 (86.382) Epoch: [67][4670/10010] Time 0.316 (0.327) Data 0.001 (0.001) Loss 1.1567 (1.3993) Prec@1 66.406 (67.620) Prec@5 91.406 (86.382) Epoch: [67][4680/10010] Time 0.333 (0.327) Data 0.001 (0.001) Loss 1.3121 (1.3995) Prec@1 64.844 (67.615) Prec@5 86.719 (86.380) Epoch: [67][4690/10010] Time 0.335 (0.327) Data 0.001 (0.001) Loss 1.3833 (1.3993) Prec@1 64.844 (67.618) Prec@5 82.812 (86.381) Epoch: [67][4700/10010] Time 0.320 (0.327) Data 0.001 (0.001) Loss 1.2723 (1.3993) Prec@1 65.625 (67.618) Prec@5 87.500 (86.381) Epoch: [67][4710/10010] Time 0.327 (0.327) Data 0.000 (0.001) Loss 1.5400 (1.3995) Prec@1 61.719 (67.613) Prec@5 85.156 (86.380) Epoch: [67][4720/10010] Time 0.314 (0.327) Data 0.001 (0.001) Loss 1.1864 (1.3993) Prec@1 69.531 (67.616) Prec@5 92.188 (86.382) Epoch: [67][4730/10010] Time 0.336 (0.327) Data 0.001 (0.001) Loss 1.4509 (1.3992) Prec@1 64.062 (67.616) Prec@5 89.844 (86.384) Epoch: [67][4740/10010] Time 0.317 (0.327) Data 0.000 (0.001) Loss 1.2894 (1.3994) Prec@1 70.312 (67.610) Prec@5 86.719 (86.381) Epoch: [67][4750/10010] Time 0.312 (0.327) Data 0.001 (0.001) Loss 1.3798 (1.3996) Prec@1 68.750 (67.605) Prec@5 86.719 (86.379) Epoch: [67][4760/10010] Time 0.337 (0.327) Data 0.001 (0.001) Loss 1.4876 (1.3997) Prec@1 67.188 (67.600) Prec@5 83.594 (86.378) Epoch: [67][4770/10010] Time 0.317 (0.327) Data 0.001 (0.001) Loss 1.3278 (1.3998) Prec@1 65.625 (67.599) Prec@5 85.156 (86.376) Epoch: [67][4780/10010] Time 0.317 (0.327) Data 0.001 (0.001) Loss 1.6791 (1.4000) Prec@1 59.375 (67.595) Prec@5 78.906 (86.370) Epoch: [67][4790/10010] Time 0.335 (0.327) Data 0.001 (0.001) Loss 1.5974 (1.3999) Prec@1 63.281 (67.595) Prec@5 79.688 (86.370) Epoch: [67][4800/10010] Time 0.316 (0.327) Data 0.001 (0.001) Loss 1.5274 (1.4000) Prec@1 66.406 (67.593) Prec@5 86.719 (86.370) Epoch: [67][4810/10010] Time 0.338 (0.327) Data 0.000 (0.001) Loss 1.5085 (1.4001) Prec@1 64.844 (67.591) Prec@5 82.812 (86.370) Epoch: [67][4820/10010] Time 0.321 (0.327) Data 0.000 (0.001) Loss 1.6889 (1.4001) Prec@1 61.719 (67.591) Prec@5 83.594 (86.371) Epoch: [67][4830/10010] Time 0.320 (0.327) Data 0.001 (0.001) Loss 1.4731 (1.4000) Prec@1 66.406 (67.593) Prec@5 86.719 (86.373) Epoch: [67][4840/10010] Time 0.328 (0.327) Data 0.001 (0.001) Loss 1.3583 (1.4000) Prec@1 69.531 (67.593) Prec@5 85.156 (86.374) Epoch: [67][4850/10010] Time 0.322 (0.327) Data 0.000 (0.001) Loss 1.4017 (1.4001) Prec@1 71.094 (67.589) Prec@5 84.375 (86.371) Epoch: [67][4860/10010] Time 0.339 (0.327) Data 0.000 (0.001) Loss 1.4482 (1.4001) Prec@1 67.969 (67.590) Prec@5 87.500 (86.373) Epoch: [67][4870/10010] Time 0.315 (0.327) Data 0.001 (0.001) Loss 1.5042 (1.4000) Prec@1 61.719 (67.590) Prec@5 86.719 (86.377) Epoch: [67][4880/10010] Time 0.319 (0.327) Data 0.001 (0.001) Loss 1.6750 (1.4001) Prec@1 62.500 (67.587) Prec@5 78.125 (86.373) Epoch: [67][4890/10010] Time 0.317 (0.327) Data 0.000 (0.001) Loss 1.2213 (1.4002) Prec@1 66.406 (67.584) Prec@5 92.188 (86.374) Epoch: [67][4900/10010] Time 0.323 (0.327) Data 0.001 (0.001) Loss 1.3454 (1.4000) Prec@1 67.188 (67.585) Prec@5 86.719 (86.376) Epoch: [67][4910/10010] Time 0.329 (0.327) Data 0.001 (0.001) Loss 1.4112 (1.4000) Prec@1 69.531 (67.583) Prec@5 85.156 (86.378) Epoch: [67][4920/10010] Time 0.340 (0.327) Data 0.001 (0.001) Loss 1.6751 (1.4001) Prec@1 62.500 (67.578) Prec@5 83.594 (86.378) Epoch: [67][4930/10010] Time 0.317 (0.327) Data 0.001 (0.001) Loss 1.2474 (1.4002) Prec@1 68.750 (67.571) Prec@5 89.844 (86.376) Epoch: [67][4940/10010] Time 0.333 (0.327) Data 0.001 (0.001) Loss 1.2729 (1.4002) Prec@1 71.875 (67.573) Prec@5 85.938 (86.376) Epoch: [67][4950/10010] Time 0.327 (0.327) Data 0.001 (0.001) Loss 1.7667 (1.4002) Prec@1 59.375 (67.570) Prec@5 80.469 (86.374) Epoch: [67][4960/10010] Time 0.312 (0.327) Data 0.001 (0.001) Loss 1.4058 (1.4000) Prec@1 71.875 (67.576) Prec@5 86.719 (86.377) Epoch: [67][4970/10010] Time 0.326 (0.327) Data 0.001 (0.001) Loss 1.3193 (1.4001) Prec@1 67.188 (67.572) Prec@5 88.281 (86.376) Epoch: [67][4980/10010] Time 0.316 (0.327) Data 0.000 (0.001) Loss 1.1049 (1.3999) Prec@1 75.000 (67.577) Prec@5 89.844 (86.378) Epoch: [67][4990/10010] Time 0.321 (0.327) Data 0.001 (0.001) Loss 1.3456 (1.4000) Prec@1 71.875 (67.579) Prec@5 89.062 (86.379) Epoch: [67][5000/10010] Time 0.316 (0.327) Data 0.001 (0.001) Loss 1.3628 (1.4000) Prec@1 64.844 (67.577) Prec@5 88.281 (86.381) Epoch: [67][5010/10010] Time 0.319 (0.327) Data 0.001 (0.001) Loss 1.4225 (1.3998) Prec@1 68.750 (67.581) Prec@5 87.500 (86.383) Epoch: [67][5020/10010] Time 0.309 (0.327) Data 0.000 (0.001) Loss 1.2888 (1.3995) Prec@1 68.750 (67.585) Prec@5 84.375 (86.386) Epoch: [67][5030/10010] Time 0.326 (0.327) Data 0.001 (0.001) Loss 1.5016 (1.3996) Prec@1 71.094 (67.585) Prec@5 84.375 (86.386) Epoch: [67][5040/10010] Time 0.340 (0.327) Data 0.001 (0.001) Loss 1.5840 (1.3997) Prec@1 63.281 (67.585) Prec@5 84.375 (86.383) Epoch: [67][5050/10010] Time 0.324 (0.327) Data 0.000 (0.001) Loss 1.3339 (1.3998) Prec@1 71.094 (67.584) Prec@5 85.938 (86.383) Epoch: [67][5060/10010] Time 0.328 (0.327) Data 0.001 (0.001) Loss 1.3380 (1.4000) Prec@1 67.969 (67.583) Prec@5 86.719 (86.379) Epoch: [67][5070/10010] Time 0.337 (0.327) Data 0.001 (0.001) Loss 1.2826 (1.4000) Prec@1 75.781 (67.580) Prec@5 86.719 (86.379) Epoch: [67][5080/10010] Time 0.333 (0.327) Data 0.001 (0.001) Loss 1.0484 (1.3999) Prec@1 80.469 (67.580) Prec@5 92.188 (86.379) Epoch: [67][5090/10010] Time 0.340 (0.327) Data 0.000 (0.001) Loss 1.5273 (1.4000) Prec@1 64.844 (67.580) Prec@5 82.031 (86.378) Epoch: [67][5100/10010] Time 0.322 (0.327) Data 0.001 (0.001) Loss 1.4209 (1.4000) Prec@1 67.969 (67.580) Prec@5 82.812 (86.378) Epoch: [67][5110/10010] Time 0.329 (0.327) Data 0.001 (0.001) Loss 1.1113 (1.4001) Prec@1 62.500 (67.577) Prec@5 92.969 (86.376) Epoch: [67][5120/10010] Time 0.316 (0.327) Data 0.001 (0.001) Loss 1.3214 (1.4001) Prec@1 67.188 (67.577) Prec@5 85.938 (86.376) Epoch: [67][5130/10010] Time 0.326 (0.327) Data 0.001 (0.001) Loss 1.3322 (1.4002) Prec@1 66.406 (67.574) Prec@5 84.375 (86.375) /data/vision/torralba/deepscene/lib/anaconda2/lib/python2.7/site-packages/PIL/TiffImagePlugin.py:692: UserWarning: Possibly corrupt EXIF data. Expecting to read 2555904 bytes but only got 0. Skipping tag 0 "Skipping tag %s" % (size, len(data), tag)) Epoch: [67][5140/10010] Time 0.340 (0.327) Data 0.000 (0.001) Loss 1.4895 (1.4001) Prec@1 66.406 (67.574) Prec@5 83.594 (86.375) Epoch: [67][5150/10010] Time 0.339 (0.327) Data 0.001 (0.001) Loss 1.6372 (1.4001) Prec@1 59.375 (67.572) Prec@5 78.906 (86.374) Epoch: [67][5160/10010] Time 0.331 (0.327) Data 0.001 (0.001) Loss 1.5126 (1.4002) Prec@1 68.750 (67.571) Prec@5 85.156 (86.373) Epoch: [67][5170/10010] Time 0.321 (0.327) Data 0.001 (0.001) Loss 1.3990 (1.4002) Prec@1 70.312 (67.572) Prec@5 88.281 (86.374) Epoch: [67][5180/10010] Time 0.327 (0.327) Data 0.000 (0.001) Loss 1.3735 (1.4001) Prec@1 69.531 (67.572) Prec@5 87.500 (86.375) Epoch: [67][5190/10010] Time 0.317 (0.327) Data 0.000 (0.001) Loss 1.4021 (1.4001) Prec@1 67.188 (67.570) Prec@5 82.812 (86.377) Epoch: [67][5200/10010] Time 0.333 (0.327) Data 0.001 (0.001) Loss 1.6015 (1.4002) Prec@1 61.719 (67.571) Prec@5 82.812 (86.377) Epoch: [67][5210/10010] Time 0.335 (0.327) Data 0.001 (0.001) Loss 1.5766 (1.4003) Prec@1 64.062 (67.568) Prec@5 80.469 (86.373) Epoch: [67][5220/10010] Time 0.336 (0.327) Data 0.001 (0.001) Loss 1.6246 (1.4003) Prec@1 65.625 (67.568) Prec@5 80.469 (86.374) Epoch: [67][5230/10010] Time 0.321 (0.327) Data 0.000 (0.001) Loss 1.9871 (1.4004) Prec@1 62.500 (67.569) Prec@5 80.469 (86.374) Epoch: [67][5240/10010] Time 0.336 (0.327) Data 0.001 (0.001) Loss 1.4180 (1.4004) Prec@1 67.188 (67.566) Prec@5 86.719 (86.375) Epoch: [67][5250/10010] Time 0.338 (0.327) Data 0.001 (0.001) Loss 1.5632 (1.4004) Prec@1 65.625 (67.568) Prec@5 82.812 (86.376) Epoch: [67][5260/10010] Time 0.323 (0.327) Data 0.001 (0.001) Loss 1.5770 (1.4004) Prec@1 62.500 (67.568) Prec@5 82.031 (86.374) Epoch: [67][5270/10010] Time 0.339 (0.327) Data 0.001 (0.001) Loss 1.3906 (1.4003) Prec@1 70.312 (67.569) Prec@5 85.156 (86.375) Epoch: [67][5280/10010] Time 0.328 (0.327) Data 0.001 (0.001) Loss 1.4566 (1.4005) Prec@1 69.531 (67.565) Prec@5 85.938 (86.372) Epoch: [67][5290/10010] Time 0.321 (0.327) Data 0.001 (0.001) Loss 1.5884 (1.4006) Prec@1 65.625 (67.566) Prec@5 78.906 (86.369) Epoch: [67][5300/10010] Time 0.335 (0.327) Data 0.001 (0.001) Loss 1.6542 (1.4007) Prec@1 64.844 (67.565) Prec@5 85.938 (86.367) Epoch: [67][5310/10010] Time 0.331 (0.327) Data 0.001 (0.001) Loss 1.4483 (1.4008) Prec@1 71.094 (67.565) Prec@5 85.938 (86.365) Epoch: [67][5320/10010] Time 0.322 (0.327) Data 0.000 (0.001) Loss 1.6661 (1.4007) Prec@1 65.625 (67.567) Prec@5 80.469 (86.364) Epoch: [67][5330/10010] Time 0.336 (0.327) Data 0.001 (0.001) Loss 1.3541 (1.4007) Prec@1 66.406 (67.565) Prec@5 83.594 (86.365) Epoch: [67][5340/10010] Time 0.334 (0.327) Data 0.001 (0.001) Loss 1.3194 (1.4007) Prec@1 66.406 (67.562) Prec@5 89.062 (86.365) Epoch: [67][5350/10010] Time 0.318 (0.327) Data 0.001 (0.001) Loss 1.0249 (1.4007) Prec@1 77.344 (67.565) Prec@5 92.969 (86.364) Epoch: [67][5360/10010] Time 0.325 (0.327) Data 0.000 (0.001) Loss 1.4474 (1.4008) Prec@1 65.625 (67.564) Prec@5 85.156 (86.362) Epoch: [67][5370/10010] Time 0.329 (0.327) Data 0.001 (0.001) Loss 1.5428 (1.4008) Prec@1 60.156 (67.564) Prec@5 84.375 (86.361) Epoch: [67][5380/10010] Time 0.341 (0.327) Data 0.001 (0.001) Loss 1.5167 (1.4008) Prec@1 67.188 (67.565) Prec@5 86.719 (86.361) Epoch: [67][5390/10010] Time 0.328 (0.327) Data 0.000 (0.001) Loss 1.4993 (1.4009) Prec@1 68.750 (67.566) Prec@5 84.375 (86.360) Epoch: [67][5400/10010] Time 0.333 (0.327) Data 0.001 (0.001) Loss 1.0574 (1.4007) Prec@1 70.312 (67.571) Prec@5 91.406 (86.363) Epoch: [67][5410/10010] Time 0.322 (0.327) Data 0.001 (0.001) Loss 1.4682 (1.4007) Prec@1 64.844 (67.572) Prec@5 88.281 (86.363) Epoch: [67][5420/10010] Time 0.333 (0.327) Data 0.001 (0.001) Loss 1.5841 (1.4009) Prec@1 64.062 (67.570) Prec@5 82.812 (86.361) Epoch: [67][5430/10010] Time 0.320 (0.327) Data 0.001 (0.001) Loss 1.2809 (1.4008) Prec@1 70.312 (67.571) Prec@5 89.062 (86.362) Epoch: [67][5440/10010] Time 0.342 (0.327) Data 0.001 (0.001) Loss 1.2785 (1.4007) Prec@1 71.094 (67.573) Prec@5 89.844 (86.365) Epoch: [67][5450/10010] Time 0.307 (0.327) Data 0.001 (0.001) Loss 1.4882 (1.4007) Prec@1 64.062 (67.571) Prec@5 85.938 (86.365) Epoch: [67][5460/10010] Time 0.338 (0.327) Data 0.000 (0.001) Loss 1.5802 (1.4009) Prec@1 64.844 (67.569) Prec@5 83.594 (86.362) Epoch: [67][5470/10010] Time 0.323 (0.327) Data 0.000 (0.001) Loss 1.3656 (1.4010) Prec@1 68.750 (67.566) Prec@5 91.406 (86.362) Epoch: [67][5480/10010] Time 0.338 (0.327) Data 0.001 (0.001) Loss 1.8511 (1.4012) Prec@1 64.844 (67.568) Prec@5 81.250 (86.357) Epoch: [67][5490/10010] Time 0.324 (0.327) Data 0.000 (0.001) Loss 1.1833 (1.4011) Prec@1 75.000 (67.569) Prec@5 89.062 (86.359) Epoch: [67][5500/10010] Time 0.337 (0.327) Data 0.000 (0.001) Loss 1.3472 (1.4011) Prec@1 67.188 (67.570) Prec@5 87.500 (86.357) Epoch: [67][5510/10010] Time 0.319 (0.327) Data 0.001 (0.001) Loss 1.6385 (1.4012) Prec@1 61.719 (67.568) Prec@5 85.156 (86.357) Epoch: [67][5520/10010] Time 0.316 (0.327) Data 0.001 (0.001) Loss 1.5896 (1.4011) Prec@1 70.312 (67.570) Prec@5 87.500 (86.360) Epoch: [67][5530/10010] Time 0.319 (0.327) Data 0.000 (0.001) Loss 1.4714 (1.4011) Prec@1 64.844 (67.569) Prec@5 84.375 (86.357) Epoch: [67][5540/10010] Time 0.341 (0.327) Data 0.000 (0.001) Loss 1.5044 (1.4012) Prec@1 65.625 (67.567) Prec@5 82.812 (86.357) Epoch: [67][5550/10010] Time 0.342 (0.327) Data 0.000 (0.001) Loss 1.3155 (1.4013) Prec@1 68.750 (67.565) Prec@5 85.156 (86.355) Epoch: [67][5560/10010] Time 0.333 (0.327) Data 0.001 (0.001) Loss 1.1937 (1.4011) Prec@1 71.875 (67.568) Prec@5 91.406 (86.358) Epoch: [67][5570/10010] Time 0.314 (0.327) Data 0.001 (0.001) Loss 1.4150 (1.4009) Prec@1 67.969 (67.569) Prec@5 85.938 (86.359) Epoch: [67][5580/10010] Time 0.321 (0.327) Data 0.000 (0.001) Loss 1.4835 (1.4008) Prec@1 66.406 (67.570) Prec@5 84.375 (86.360) Epoch: [67][5590/10010] Time 0.314 (0.327) Data 0.000 (0.001) Loss 1.1818 (1.4009) Prec@1 67.969 (67.570) Prec@5 92.188 (86.359) Epoch: [67][5600/10010] Time 0.327 (0.327) Data 0.001 (0.001) Loss 1.3167 (1.4008) Prec@1 67.188 (67.568) Prec@5 88.281 (86.359) Epoch: [67][5610/10010] Time 0.332 (0.327) Data 0.001 (0.001) Loss 1.4809 (1.4009) Prec@1 64.844 (67.566) Prec@5 85.938 (86.356) Epoch: [67][5620/10010] Time 0.318 (0.327) Data 0.000 (0.001) Loss 1.4042 (1.4010) Prec@1 66.406 (67.564) Prec@5 85.938 (86.353) Epoch: [67][5630/10010] Time 0.313 (0.327) Data 0.001 (0.001) Loss 1.1188 (1.4009) Prec@1 70.312 (67.565) Prec@5 90.625 (86.356) Epoch: [67][5640/10010] Time 0.324 (0.327) Data 0.000 (0.001) Loss 1.3449 (1.4009) Prec@1 67.188 (67.567) Prec@5 91.406 (86.355) Epoch: [67][5650/10010] Time 0.320 (0.327) Data 0.000 (0.001) Loss 1.4118 (1.4009) Prec@1 63.281 (67.563) Prec@5 85.156 (86.357) Epoch: [67][5660/10010] Time 0.327 (0.327) Data 0.000 (0.001) Loss 1.4579 (1.4009) Prec@1 71.875 (67.563) Prec@5 82.031 (86.355) Epoch: [67][5670/10010] Time 0.320 (0.327) Data 0.000 (0.001) Loss 1.2810 (1.4009) Prec@1 67.188 (67.563) Prec@5 86.719 (86.354) Epoch: [67][5680/10010] Time 0.318 (0.327) Data 0.001 (0.001) Loss 1.3461 (1.4010) Prec@1 67.969 (67.560) Prec@5 89.062 (86.353) Epoch: [67][5690/10010] Time 0.325 (0.327) Data 0.001 (0.001) Loss 1.6607 (1.4009) Prec@1 59.375 (67.562) Prec@5 82.812 (86.355) Epoch: [67][5700/10010] Time 0.334 (0.327) Data 0.001 (0.001) Loss 1.2528 (1.4008) Prec@1 67.969 (67.563) Prec@5 89.062 (86.354) Epoch: [67][5710/10010] Time 0.337 (0.327) Data 0.000 (0.001) Loss 1.1065 (1.4007) Prec@1 72.656 (67.567) Prec@5 92.188 (86.356) Epoch: [67][5720/10010] Time 0.340 (0.327) Data 0.001 (0.001) Loss 1.3273 (1.4006) Prec@1 71.094 (67.569) Prec@5 85.938 (86.357) Epoch: [67][5730/10010] Time 0.320 (0.327) Data 0.001 (0.001) Loss 1.4175 (1.4005) Prec@1 67.188 (67.572) Prec@5 86.719 (86.359) Epoch: [67][5740/10010] Time 0.338 (0.327) Data 0.000 (0.001) Loss 1.5599 (1.4004) Prec@1 63.281 (67.573) Prec@5 82.031 (86.358) Epoch: [67][5750/10010] Time 0.332 (0.327) Data 0.000 (0.001) Loss 0.9782 (1.4003) Prec@1 75.000 (67.574) Prec@5 92.188 (86.358) Epoch: [67][5760/10010] Time 0.340 (0.327) Data 0.000 (0.001) Loss 1.4545 (1.4006) Prec@1 67.188 (67.568) Prec@5 82.031 (86.356) Epoch: [67][5770/10010] Time 0.325 (0.327) Data 0.001 (0.001) Loss 1.7207 (1.4005) Prec@1 60.938 (67.569) Prec@5 82.031 (86.357) Epoch: [67][5780/10010] Time 0.337 (0.327) Data 0.001 (0.001) Loss 1.8753 (1.4006) Prec@1 59.375 (67.566) Prec@5 80.469 (86.354) Epoch: [67][5790/10010] Time 0.342 (0.327) Data 0.000 (0.001) Loss 1.4762 (1.4005) Prec@1 64.062 (67.567) Prec@5 87.500 (86.355) Epoch: [67][5800/10010] Time 0.339 (0.327) Data 0.000 (0.001) Loss 1.2625 (1.4004) Prec@1 75.000 (67.571) Prec@5 89.844 (86.357) Epoch: [67][5810/10010] Time 0.325 (0.327) Data 0.000 (0.001) Loss 1.6150 (1.4004) Prec@1 64.844 (67.571) Prec@5 78.125 (86.358) Epoch: [67][5820/10010] Time 0.321 (0.327) Data 0.000 (0.001) Loss 1.5156 (1.4004) Prec@1 63.281 (67.570) Prec@5 84.375 (86.358) Epoch: [67][5830/10010] Time 0.331 (0.327) Data 0.000 (0.001) Loss 1.6036 (1.4005) Prec@1 64.844 (67.566) Prec@5 82.812 (86.357) Epoch: [67][5840/10010] Time 0.329 (0.327) Data 0.000 (0.001) Loss 1.4026 (1.4006) Prec@1 64.062 (67.565) Prec@5 85.938 (86.357) Epoch: [67][5850/10010] Time 0.322 (0.327) Data 0.000 (0.001) Loss 1.3277 (1.4006) Prec@1 71.094 (67.564) Prec@5 87.500 (86.358) Epoch: [67][5860/10010] Time 0.322 (0.327) Data 0.001 (0.001) Loss 1.4467 (1.4007) Prec@1 68.750 (67.561) Prec@5 83.594 (86.355) Epoch: [67][5870/10010] Time 0.342 (0.327) Data 0.000 (0.001) Loss 1.2475 (1.4008) Prec@1 74.219 (67.562) Prec@5 87.500 (86.354) Epoch: [67][5880/10010] Time 0.333 (0.327) Data 0.000 (0.001) Loss 1.5228 (1.4009) Prec@1 69.531 (67.558) Prec@5 79.688 (86.351) Epoch: [67][5890/10010] Time 0.335 (0.327) Data 0.000 (0.001) Loss 1.3657 (1.4009) Prec@1 67.188 (67.558) Prec@5 82.812 (86.351) Epoch: [67][5900/10010] Time 0.332 (0.327) Data 0.001 (0.001) Loss 1.3656 (1.4010) Prec@1 67.969 (67.557) Prec@5 85.938 (86.350) Epoch: [67][5910/10010] Time 0.327 (0.327) Data 0.000 (0.001) Loss 1.3117 (1.4010) Prec@1 67.969 (67.557) Prec@5 85.156 (86.349) Epoch: [67][5920/10010] Time 0.336 (0.327) Data 0.001 (0.001) Loss 1.5231 (1.4010) Prec@1 62.500 (67.553) Prec@5 82.812 (86.347) Epoch: [67][5930/10010] Time 0.331 (0.327) Data 0.001 (0.001) Loss 1.5544 (1.4010) Prec@1 60.938 (67.552) Prec@5 83.594 (86.346) Epoch: [67][5940/10010] Time 0.314 (0.327) Data 0.001 (0.001) Loss 1.4324 (1.4011) Prec@1 67.188 (67.551) Prec@5 85.156 (86.347) Epoch: [67][5950/10010] Time 0.336 (0.327) Data 0.000 (0.001) Loss 1.2629 (1.4011) Prec@1 71.875 (67.548) Prec@5 88.281 (86.346) Epoch: [67][5960/10010] Time 0.314 (0.327) Data 0.001 (0.001) Loss 1.5106 (1.4011) Prec@1 62.500 (67.549) Prec@5 85.938 (86.345) Epoch: [67][5970/10010] Time 0.320 (0.327) Data 0.000 (0.001) Loss 1.1509 (1.4010) Prec@1 74.219 (67.551) Prec@5 89.062 (86.345) Epoch: [67][5980/10010] Time 0.340 (0.327) Data 0.001 (0.001) Loss 1.3768 (1.4009) Prec@1 66.406 (67.554) Prec@5 89.844 (86.346) Epoch: [67][5990/10010] Time 0.320 (0.327) Data 0.001 (0.001) Loss 1.2102 (1.4008) Prec@1 70.312 (67.556) Prec@5 89.844 (86.350) Epoch: [67][6000/10010] Time 0.319 (0.327) Data 0.001 (0.001) Loss 1.3546 (1.4007) Prec@1 64.062 (67.559) Prec@5 87.500 (86.350) Epoch: [67][6010/10010] Time 0.335 (0.327) Data 0.001 (0.001) Loss 1.1638 (1.4006) Prec@1 71.875 (67.559) Prec@5 89.844 (86.351) Epoch: [67][6020/10010] Time 0.324 (0.327) Data 0.000 (0.001) Loss 1.5542 (1.4006) Prec@1 64.844 (67.560) Prec@5 83.594 (86.351) Epoch: [67][6030/10010] Time 0.323 (0.327) Data 0.000 (0.001) Loss 1.5746 (1.4007) Prec@1 62.500 (67.559) Prec@5 84.375 (86.349) Epoch: [67][6040/10010] Time 0.319 (0.327) Data 0.001 (0.001) Loss 1.3826 (1.4007) Prec@1 72.656 (67.557) Prec@5 88.281 (86.347) Epoch: [67][6050/10010] Time 0.330 (0.327) Data 0.001 (0.001) Loss 1.3835 (1.4006) Prec@1 65.625 (67.557) Prec@5 86.719 (86.350) Epoch: [67][6060/10010] Time 0.336 (0.327) Data 0.000 (0.001) Loss 1.3266 (1.4006) Prec@1 68.750 (67.556) Prec@5 89.062 (86.352) Epoch: [67][6070/10010] Time 0.338 (0.327) Data 0.000 (0.001) Loss 1.5076 (1.4007) Prec@1 69.531 (67.557) Prec@5 82.812 (86.350) Epoch: [67][6080/10010] Time 0.319 (0.327) Data 0.001 (0.001) Loss 1.2936 (1.4007) Prec@1 67.188 (67.558) Prec@5 89.062 (86.351) Epoch: [67][6090/10010] Time 0.331 (0.327) Data 0.001 (0.001) Loss 1.5259 (1.4008) Prec@1 63.281 (67.558) Prec@5 82.812 (86.351) Epoch: [67][6100/10010] Time 0.331 (0.327) Data 0.000 (0.001) Loss 1.5942 (1.4008) Prec@1 64.844 (67.557) Prec@5 83.594 (86.349) Epoch: [67][6110/10010] Time 0.320 (0.327) Data 0.001 (0.001) Loss 0.9644 (1.4008) Prec@1 76.562 (67.558) Prec@5 92.969 (86.350) Epoch: [67][6120/10010] Time 0.318 (0.327) Data 0.001 (0.001) Loss 1.3800 (1.4009) Prec@1 69.531 (67.555) Prec@5 86.719 (86.351) Epoch: [67][6130/10010] Time 0.338 (0.327) Data 0.000 (0.001) Loss 1.5094 (1.4009) Prec@1 64.062 (67.556) Prec@5 86.719 (86.350) Epoch: [67][6140/10010] Time 0.335 (0.327) Data 0.001 (0.001) Loss 1.5054 (1.4009) Prec@1 67.969 (67.556) Prec@5 85.156 (86.350) Epoch: [67][6150/10010] Time 0.339 (0.327) Data 0.000 (0.001) Loss 1.1859 (1.4008) Prec@1 74.219 (67.558) Prec@5 89.062 (86.350) Epoch: [67][6160/10010] Time 0.324 (0.327) Data 0.001 (0.001) Loss 1.3585 (1.4009) Prec@1 66.406 (67.553) Prec@5 85.156 (86.350) Epoch: [67][6170/10010] Time 0.323 (0.327) Data 0.001 (0.001) Loss 1.4898 (1.4010) Prec@1 67.969 (67.553) Prec@5 82.812 (86.347) Epoch: [67][6180/10010] Time 0.311 (0.327) Data 0.001 (0.001) Loss 1.4069 (1.4010) Prec@1 64.844 (67.555) Prec@5 87.500 (86.348) Epoch: [67][6190/10010] Time 0.343 (0.327) Data 0.000 (0.001) Loss 1.5071 (1.4010) Prec@1 66.406 (67.556) Prec@5 84.375 (86.349) Epoch: [67][6200/10010] Time 0.338 (0.327) Data 0.001 (0.001) Loss 1.8113 (1.4010) Prec@1 57.031 (67.555) Prec@5 81.250 (86.348) Epoch: [67][6210/10010] Time 0.340 (0.327) Data 0.001 (0.001) Loss 1.2273 (1.4011) Prec@1 71.875 (67.553) Prec@5 86.719 (86.347) Epoch: [67][6220/10010] Time 0.318 (0.327) Data 0.000 (0.001) Loss 1.6364 (1.4010) Prec@1 61.719 (67.554) Prec@5 82.031 (86.349) Epoch: [67][6230/10010] Time 0.322 (0.327) Data 0.000 (0.001) Loss 1.4543 (1.4010) Prec@1 64.062 (67.552) Prec@5 85.938 (86.349) Epoch: [67][6240/10010] Time 0.339 (0.327) Data 0.001 (0.001) Loss 1.5452 (1.4009) Prec@1 64.844 (67.556) Prec@5 82.031 (86.350) Epoch: [67][6250/10010] Time 0.319 (0.327) Data 0.001 (0.001) Loss 1.4296 (1.4010) Prec@1 67.188 (67.555) Prec@5 85.156 (86.351) Epoch: [67][6260/10010] Time 0.337 (0.327) Data 0.001 (0.001) Loss 1.3344 (1.4010) Prec@1 71.094 (67.555) Prec@5 88.281 (86.352) Epoch: [67][6270/10010] Time 0.329 (0.327) Data 0.000 (0.001) Loss 1.7058 (1.4010) Prec@1 62.500 (67.553) Prec@5 82.812 (86.352) Epoch: [67][6280/10010] Time 0.319 (0.327) Data 0.001 (0.001) Loss 1.4977 (1.4011) Prec@1 71.094 (67.554) Prec@5 86.719 (86.351) Epoch: [67][6290/10010] Time 0.321 (0.327) Data 0.000 (0.001) Loss 1.3603 (1.4011) Prec@1 67.188 (67.552) Prec@5 87.500 (86.350) Epoch: [67][6300/10010] Time 0.342 (0.327) Data 0.000 (0.001) Loss 1.3126 (1.4010) Prec@1 71.875 (67.556) Prec@5 89.062 (86.352) Epoch: [67][6310/10010] Time 0.328 (0.327) Data 0.000 (0.001) Loss 1.3670 (1.4009) Prec@1 67.188 (67.556) Prec@5 88.281 (86.354) Epoch: [67][6320/10010] Time 0.337 (0.327) Data 0.000 (0.001) Loss 1.4111 (1.4008) Prec@1 67.969 (67.557) Prec@5 81.250 (86.353) Epoch: [67][6330/10010] Time 0.319 (0.327) Data 0.001 (0.001) Loss 1.4708 (1.4008) Prec@1 58.594 (67.556) Prec@5 89.062 (86.355) Epoch: [67][6340/10010] Time 0.338 (0.327) Data 0.001 (0.001) Loss 1.4455 (1.4008) Prec@1 65.625 (67.555) Prec@5 82.812 (86.356) Epoch: [67][6350/10010] Time 0.322 (0.327) Data 0.001 (0.001) Loss 1.5195 (1.4009) Prec@1 67.188 (67.555) Prec@5 83.594 (86.356) Epoch: [67][6360/10010] Time 0.332 (0.327) Data 0.001 (0.001) Loss 1.3929 (1.4010) Prec@1 67.969 (67.551) Prec@5 85.938 (86.353) Epoch: [67][6370/10010] Time 0.331 (0.327) Data 0.001 (0.001) Loss 1.5614 (1.4011) Prec@1 64.062 (67.549) Prec@5 82.812 (86.351) Epoch: [67][6380/10010] Time 0.331 (0.327) Data 0.000 (0.001) Loss 1.6114 (1.4010) Prec@1 62.500 (67.549) Prec@5 81.250 (86.353) Epoch: [67][6390/10010] Time 0.324 (0.327) Data 0.000 (0.001) Loss 1.1159 (1.4009) Prec@1 77.344 (67.552) Prec@5 89.062 (86.354) Epoch: [67][6400/10010] Time 0.316 (0.327) Data 0.001 (0.001) Loss 1.5478 (1.4008) Prec@1 63.281 (67.552) Prec@5 85.938 (86.356) Epoch: [67][6410/10010] Time 0.341 (0.327) Data 0.000 (0.001) Loss 1.1416 (1.4008) Prec@1 76.562 (67.554) Prec@5 89.844 (86.356) Epoch: [67][6420/10010] Time 0.307 (0.327) Data 0.000 (0.001) Loss 1.5369 (1.4008) Prec@1 67.969 (67.557) Prec@5 84.375 (86.356) Epoch: [67][6430/10010] Time 0.317 (0.327) Data 0.000 (0.001) Loss 1.6626 (1.4006) Prec@1 67.188 (67.561) Prec@5 86.719 (86.358) Epoch: [67][6440/10010] Time 0.338 (0.327) Data 0.000 (0.001) Loss 1.4491 (1.4007) Prec@1 67.969 (67.561) Prec@5 85.938 (86.358) Epoch: [67][6450/10010] Time 0.328 (0.327) Data 0.001 (0.001) Loss 1.2183 (1.4006) Prec@1 66.406 (67.562) Prec@5 90.625 (86.359) Epoch: [67][6460/10010] Time 0.331 (0.327) Data 0.001 (0.001) Loss 1.6054 (1.4006) Prec@1 65.625 (67.562) Prec@5 84.375 (86.361) Epoch: [67][6470/10010] Time 0.319 (0.327) Data 0.000 (0.001) Loss 1.4555 (1.4007) Prec@1 66.406 (67.560) Prec@5 88.281 (86.361) Epoch: [67][6480/10010] Time 0.319 (0.327) Data 0.000 (0.001) Loss 1.3626 (1.4007) Prec@1 66.406 (67.558) Prec@5 87.500 (86.361) Epoch: [67][6490/10010] Time 0.334 (0.327) Data 0.001 (0.001) Loss 1.6167 (1.4008) Prec@1 64.062 (67.556) Prec@5 84.375 (86.361) Epoch: [67][6500/10010] Time 0.332 (0.327) Data 0.001 (0.001) Loss 1.4735 (1.4008) Prec@1 67.188 (67.555) Prec@5 85.156 (86.361) Epoch: [67][6510/10010] Time 0.317 (0.327) Data 0.001 (0.001) Loss 1.2631 (1.4007) Prec@1 71.094 (67.557) Prec@5 87.500 (86.363) Epoch: [67][6520/10010] Time 0.314 (0.327) Data 0.001 (0.001) Loss 1.1875 (1.4006) Prec@1 70.312 (67.561) Prec@5 89.062 (86.363) Epoch: [67][6530/10010] Time 0.320 (0.327) Data 0.000 (0.001) Loss 1.4029 (1.4005) Prec@1 69.531 (67.562) Prec@5 85.938 (86.365) Epoch: [67][6540/10010] Time 0.335 (0.327) Data 0.000 (0.001) Loss 1.7595 (1.4006) Prec@1 59.375 (67.563) Prec@5 82.031 (86.365) Epoch: [67][6550/10010] Time 0.318 (0.327) Data 0.001 (0.001) Loss 1.6070 (1.4004) Prec@1 61.719 (67.564) Prec@5 82.031 (86.367) Epoch: [67][6560/10010] Time 0.316 (0.327) Data 0.000 (0.001) Loss 1.5258 (1.4005) Prec@1 64.844 (67.561) Prec@5 86.719 (86.365) Epoch: [67][6570/10010] Time 0.309 (0.327) Data 0.001 (0.001) Loss 1.0776 (1.4005) Prec@1 72.656 (67.561) Prec@5 89.062 (86.366) Epoch: [67][6580/10010] Time 0.340 (0.327) Data 0.000 (0.001) Loss 1.2142 (1.4004) Prec@1 70.312 (67.559) Prec@5 89.062 (86.366) Epoch: [67][6590/10010] Time 0.318 (0.327) Data 0.001 (0.001) Loss 1.3716 (1.4003) Prec@1 69.531 (67.562) Prec@5 85.938 (86.366) Epoch: [67][6600/10010] Time 0.328 (0.327) Data 0.000 (0.001) Loss 1.6480 (1.4004) Prec@1 64.844 (67.560) Prec@5 83.594 (86.365) Epoch: [67][6610/10010] Time 0.317 (0.327) Data 0.000 (0.001) Loss 1.2745 (1.4005) Prec@1 71.875 (67.560) Prec@5 86.719 (86.363) Epoch: [67][6620/10010] Time 0.317 (0.327) Data 0.001 (0.001) Loss 1.3436 (1.4004) Prec@1 64.062 (67.561) Prec@5 88.281 (86.364) Epoch: [67][6630/10010] Time 0.313 (0.327) Data 0.001 (0.001) Loss 1.2042 (1.4003) Prec@1 71.094 (67.563) Prec@5 86.719 (86.364) Epoch: [67][6640/10010] Time 0.322 (0.327) Data 0.001 (0.001) Loss 1.5455 (1.4003) Prec@1 70.312 (67.566) Prec@5 85.156 (86.365) Epoch: [67][6650/10010] Time 0.339 (0.327) Data 0.000 (0.001) Loss 1.1840 (1.4003) Prec@1 74.219 (67.567) Prec@5 89.844 (86.364) Epoch: [67][6660/10010] Time 0.323 (0.327) Data 0.001 (0.001) Loss 1.3154 (1.4004) Prec@1 66.406 (67.565) Prec@5 85.938 (86.364) Epoch: [67][6670/10010] Time 0.334 (0.327) Data 0.000 (0.001) Loss 1.4217 (1.4004) Prec@1 68.750 (67.564) Prec@5 84.375 (86.363) Epoch: [67][6680/10010] Time 0.340 (0.327) Data 0.000 (0.001) Loss 1.4821 (1.4004) Prec@1 67.188 (67.562) Prec@5 85.938 (86.362) Epoch: [67][6690/10010] Time 0.341 (0.327) Data 0.000 (0.001) Loss 1.3208 (1.4005) Prec@1 70.312 (67.561) Prec@5 86.719 (86.360) Epoch: [67][6700/10010] Time 0.342 (0.327) Data 0.001 (0.001) Loss 1.1054 (1.4005) Prec@1 75.000 (67.562) Prec@5 88.281 (86.359) Epoch: [67][6710/10010] Time 0.340 (0.327) Data 0.001 (0.001) Loss 1.3355 (1.4005) Prec@1 70.312 (67.562) Prec@5 88.281 (86.359) Epoch: [67][6720/10010] Time 0.334 (0.327) Data 0.000 (0.001) Loss 1.2019 (1.4005) Prec@1 74.219 (67.566) Prec@5 89.062 (86.360) Epoch: [67][6730/10010] Time 0.335 (0.327) Data 0.001 (0.001) Loss 1.4527 (1.4004) Prec@1 67.188 (67.568) Prec@5 84.375 (86.361) Epoch: [67][6740/10010] Time 0.337 (0.327) Data 0.001 (0.001) Loss 1.3129 (1.4004) Prec@1 70.312 (67.567) Prec@5 86.719 (86.361) Epoch: [67][6750/10010] Time 0.329 (0.327) Data 0.001 (0.001) Loss 1.2823 (1.4006) Prec@1 67.188 (67.564) Prec@5 89.844 (86.359) Epoch: [67][6760/10010] Time 0.338 (0.327) Data 0.000 (0.001) Loss 1.0980 (1.4007) Prec@1 76.562 (67.563) Prec@5 88.281 (86.357) Epoch: [67][6770/10010] Time 0.337 (0.327) Data 0.001 (0.001) Loss 1.3740 (1.4007) Prec@1 73.438 (67.564) Prec@5 86.719 (86.358) Epoch: [67][6780/10010] Time 0.320 (0.327) Data 0.000 (0.001) Loss 1.5109 (1.4006) Prec@1 64.062 (67.563) Prec@5 89.062 (86.359) Epoch: [67][6790/10010] Time 0.325 (0.327) Data 0.000 (0.001) Loss 1.5421 (1.4007) Prec@1 63.281 (67.560) Prec@5 84.375 (86.357) Epoch: [67][6800/10010] Time 0.337 (0.327) Data 0.000 (0.001) Loss 1.3194 (1.4006) Prec@1 74.219 (67.562) Prec@5 85.156 (86.357) Epoch: [67][6810/10010] Time 0.335 (0.327) Data 0.001 (0.001) Loss 1.2528 (1.4007) Prec@1 66.406 (67.560) Prec@5 89.844 (86.357) Epoch: [67][6820/10010] Time 0.325 (0.327) Data 0.001 (0.001) Loss 1.0666 (1.4005) Prec@1 71.875 (67.562) Prec@5 93.750 (86.360) Epoch: [67][6830/10010] Time 0.331 (0.327) Data 0.001 (0.001) Loss 1.4568 (1.4005) Prec@1 64.062 (67.564) Prec@5 85.156 (86.360) Epoch: [67][6840/10010] Time 0.338 (0.327) Data 0.000 (0.001) Loss 1.5691 (1.4006) Prec@1 62.500 (67.562) Prec@5 84.375 (86.360) Epoch: [67][6850/10010] Time 0.326 (0.327) Data 0.001 (0.001) Loss 1.5712 (1.4006) Prec@1 61.719 (67.561) Prec@5 83.594 (86.359) Epoch: [67][6860/10010] Time 0.326 (0.327) Data 0.000 (0.001) Loss 1.4052 (1.4005) Prec@1 64.844 (67.565) Prec@5 85.156 (86.362) Epoch: [67][6870/10010] Time 0.326 (0.327) Data 0.001 (0.001) Loss 1.1828 (1.4006) Prec@1 74.219 (67.565) Prec@5 86.719 (86.359) Epoch: [67][6880/10010] Time 0.325 (0.327) Data 0.001 (0.001) Loss 1.3114 (1.4006) Prec@1 72.656 (67.564) Prec@5 87.500 (86.356) Epoch: [67][6890/10010] Time 0.325 (0.327) Data 0.001 (0.001) Loss 1.3546 (1.4008) Prec@1 67.188 (67.562) Prec@5 85.156 (86.354) Epoch: [67][6900/10010] Time 0.315 (0.327) Data 0.001 (0.001) Loss 1.4113 (1.4008) Prec@1 67.188 (67.562) Prec@5 87.500 (86.354) Epoch: [67][6910/10010] Time 0.323 (0.327) Data 0.000 (0.001) Loss 1.5657 (1.4009) Prec@1 60.156 (67.559) Prec@5 84.375 (86.352) Epoch: [67][6920/10010] Time 0.334 (0.327) Data 0.001 (0.001) Loss 1.4663 (1.4009) Prec@1 67.969 (67.559) Prec@5 82.812 (86.352) Epoch: [67][6930/10010] Time 0.317 (0.327) Data 0.001 (0.001) Loss 1.2556 (1.4008) Prec@1 72.656 (67.558) Prec@5 89.844 (86.354) Epoch: [67][6940/10010] Time 0.326 (0.327) Data 0.000 (0.001) Loss 1.3260 (1.4008) Prec@1 62.500 (67.558) Prec@5 85.156 (86.354) Epoch: [67][6950/10010] Time 0.315 (0.327) Data 0.000 (0.001) Loss 1.3602 (1.4008) Prec@1 70.312 (67.558) Prec@5 83.594 (86.353) Epoch: [67][6960/10010] Time 0.339 (0.327) Data 0.001 (0.001) Loss 1.2427 (1.4009) Prec@1 69.531 (67.556) Prec@5 88.281 (86.352) Epoch: [67][6970/10010] Time 0.327 (0.327) Data 0.001 (0.001) Loss 1.5515 (1.4008) Prec@1 63.281 (67.558) Prec@5 87.500 (86.355) Epoch: [67][6980/10010] Time 0.321 (0.327) Data 0.000 (0.001) Loss 1.5083 (1.4007) Prec@1 65.625 (67.560) Prec@5 85.938 (86.355) Epoch: [67][6990/10010] Time 0.324 (0.327) Data 0.001 (0.001) Loss 1.3410 (1.4007) Prec@1 68.750 (67.562) Prec@5 85.938 (86.355) Epoch: [67][7000/10010] Time 0.316 (0.327) Data 0.000 (0.001) Loss 1.5172 (1.4006) Prec@1 68.750 (67.563) Prec@5 83.594 (86.356) Epoch: [67][7010/10010] Time 0.328 (0.327) Data 0.000 (0.001) Loss 1.2648 (1.4006) Prec@1 71.094 (67.561) Prec@5 89.062 (86.355) Epoch: [67][7020/10010] Time 0.337 (0.327) Data 0.000 (0.001) Loss 1.3833 (1.4006) Prec@1 64.844 (67.562) Prec@5 85.938 (86.357) Epoch: [67][7030/10010] Time 0.313 (0.327) Data 0.000 (0.001) Loss 1.4381 (1.4007) Prec@1 71.875 (67.560) Prec@5 85.156 (86.357) Epoch: [67][7040/10010] Time 0.318 (0.327) Data 0.000 (0.001) Loss 1.7320 (1.4008) Prec@1 59.375 (67.558) Prec@5 79.688 (86.354) Epoch: [67][7050/10010] Time 0.330 (0.327) Data 0.000 (0.001) Loss 1.3188 (1.4008) Prec@1 68.750 (67.558) Prec@5 89.062 (86.355) Epoch: [67][7060/10010] Time 0.318 (0.327) Data 0.000 (0.001) Loss 1.2654 (1.4007) Prec@1 65.625 (67.559) Prec@5 92.188 (86.356) Epoch: [67][7070/10010] Time 0.332 (0.327) Data 0.001 (0.001) Loss 1.2278 (1.4007) Prec@1 72.656 (67.561) Prec@5 88.281 (86.357) Epoch: [67][7080/10010] Time 0.332 (0.327) Data 0.000 (0.001) Loss 1.2253 (1.4007) Prec@1 69.531 (67.562) Prec@5 89.062 (86.359) Epoch: [67][7090/10010] Time 0.321 (0.327) Data 0.001 (0.001) Loss 1.5028 (1.4008) Prec@1 67.188 (67.561) Prec@5 86.719 (86.359) Epoch: [67][7100/10010] Time 0.323 (0.327) Data 0.001 (0.001) Loss 1.3511 (1.4007) Prec@1 68.750 (67.564) Prec@5 88.281 (86.361) Epoch: [67][7110/10010] Time 0.321 (0.327) Data 0.000 (0.001) Loss 1.5734 (1.4009) Prec@1 59.375 (67.560) Prec@5 85.938 (86.359) Epoch: [67][7120/10010] Time 0.328 (0.327) Data 0.000 (0.001) Loss 1.4595 (1.4009) Prec@1 64.844 (67.559) Prec@5 86.719 (86.358) Epoch: [67][7130/10010] Time 0.345 (0.327) Data 0.000 (0.001) Loss 1.2831 (1.4009) Prec@1 71.875 (67.561) Prec@5 89.062 (86.356) Epoch: [67][7140/10010] Time 0.314 (0.327) Data 0.001 (0.001) Loss 1.4984 (1.4010) Prec@1 64.844 (67.558) Prec@5 82.812 (86.355) Epoch: [67][7150/10010] Time 0.332 (0.327) Data 0.000 (0.001) Loss 1.2675 (1.4010) Prec@1 71.094 (67.560) Prec@5 87.500 (86.355) Epoch: [67][7160/10010] Time 0.342 (0.327) Data 0.001 (0.001) Loss 1.3161 (1.4009) Prec@1 66.406 (67.559) Prec@5 89.062 (86.356) Epoch: [67][7170/10010] Time 0.329 (0.327) Data 0.000 (0.001) Loss 1.4510 (1.4010) Prec@1 64.062 (67.561) Prec@5 84.375 (86.356) /data/vision/torralba/deepscene/lib/anaconda2/lib/python2.7/site-packages/PIL/TiffImagePlugin.py:692: UserWarning: Possibly corrupt EXIF data. Expecting to read 2555904 bytes but only got 0. Skipping tag 0 "Skipping tag %s" % (size, len(data), tag)) Epoch: [67][7180/10010] Time 0.325 (0.327) Data 0.000 (0.001) Loss 1.4627 (1.4009) Prec@1 64.844 (67.562) Prec@5 85.938 (86.357) Epoch: [67][7190/10010] Time 0.312 (0.327) Data 0.001 (0.001) Loss 1.1191 (1.4009) Prec@1 69.531 (67.562) Prec@5 91.406 (86.358) Epoch: [67][7200/10010] Time 0.335 (0.327) Data 0.000 (0.001) Loss 1.1389 (1.4008) Prec@1 71.875 (67.564) Prec@5 90.625 (86.357) Epoch: [67][7210/10010] Time 0.335 (0.327) Data 0.001 (0.001) Loss 1.3449 (1.4009) Prec@1 67.188 (67.564) Prec@5 88.281 (86.356) Epoch: [67][7220/10010] Time 0.321 (0.327) Data 0.000 (0.001) Loss 1.3369 (1.4008) Prec@1 69.531 (67.564) Prec@5 85.938 (86.357) Epoch: [67][7230/10010] Time 0.330 (0.327) Data 0.000 (0.001) Loss 1.2089 (1.4007) Prec@1 73.438 (67.566) Prec@5 88.281 (86.357) Epoch: [67][7240/10010] Time 0.336 (0.327) Data 0.000 (0.001) Loss 1.1563 (1.4008) Prec@1 70.312 (67.565) Prec@5 89.062 (86.355) Epoch: [67][7250/10010] Time 0.336 (0.327) Data 0.001 (0.001) Loss 1.6613 (1.4010) Prec@1 64.844 (67.563) Prec@5 82.031 (86.353) Epoch: [67][7260/10010] Time 0.319 (0.327) Data 0.001 (0.001) Loss 1.8861 (1.4012) Prec@1 55.469 (67.560) Prec@5 78.906 (86.351) Epoch: [67][7270/10010] Time 0.338 (0.327) Data 0.000 (0.001) Loss 1.2870 (1.4013) Prec@1 71.094 (67.558) Prec@5 89.062 (86.348) Epoch: [67][7280/10010] Time 0.334 (0.327) Data 0.000 (0.001) Loss 1.4202 (1.4014) Prec@1 67.188 (67.556) Prec@5 86.719 (86.347) Epoch: [67][7290/10010] Time 0.342 (0.327) Data 0.000 (0.001) Loss 1.6532 (1.4014) Prec@1 65.625 (67.555) Prec@5 81.250 (86.347) Epoch: [67][7300/10010] Time 0.320 (0.327) Data 0.000 (0.001) Loss 1.5329 (1.4014) Prec@1 64.062 (67.553) Prec@5 85.938 (86.348) Epoch: [67][7310/10010] Time 0.333 (0.327) Data 0.001 (0.001) Loss 1.5286 (1.4015) Prec@1 67.188 (67.551) Prec@5 82.812 (86.348) Epoch: [67][7320/10010] Time 0.338 (0.327) Data 0.000 (0.001) Loss 1.5431 (1.4015) Prec@1 66.406 (67.550) Prec@5 83.594 (86.346) Epoch: [67][7330/10010] Time 0.324 (0.327) Data 0.000 (0.001) Loss 1.3449 (1.4016) Prec@1 65.625 (67.549) Prec@5 86.719 (86.347) /data/vision/torralba/deepscene/lib/anaconda2/lib/python2.7/site-packages/PIL/TiffImagePlugin.py:692: UserWarning: Possibly corrupt EXIF data. Expecting to read 2555904 bytes but only got 0. Skipping tag 0 "Skipping tag %s" % (size, len(data), tag)) Epoch: [67][7340/10010] Time 0.329 (0.327) Data 0.001 (0.001) Loss 1.3190 (1.4016) Prec@1 65.625 (67.548) Prec@5 89.844 (86.346) Epoch: [67][7350/10010] Time 0.336 (0.327) Data 0.001 (0.001) Loss 1.5016 (1.4016) Prec@1 70.312 (67.548) Prec@5 85.156 (86.347) Epoch: [67][7360/10010] Time 0.333 (0.327) Data 0.000 (0.001) Loss 1.4487 (1.4017) Prec@1 63.281 (67.545) Prec@5 84.375 (86.347) Epoch: [67][7370/10010] Time 0.319 (0.327) Data 0.001 (0.001) Loss 1.3535 (1.4018) Prec@1 71.094 (67.545) Prec@5 90.625 (86.346) Epoch: [67][7380/10010] Time 0.336 (0.327) Data 0.001 (0.001) Loss 1.4679 (1.4019) Prec@1 66.406 (67.543) Prec@5 85.938 (86.344) Epoch: [67][7390/10010] Time 0.324 (0.327) Data 0.001 (0.001) Loss 1.4099 (1.4020) Prec@1 64.062 (67.539) Prec@5 85.156 (86.342) Epoch: [67][7400/10010] Time 0.319 (0.327) Data 0.000 (0.001) Loss 1.5141 (1.4020) Prec@1 64.844 (67.538) Prec@5 83.594 (86.341) Epoch: [67][7410/10010] Time 0.321 (0.327) Data 0.001 (0.001) Loss 1.4779 (1.4021) Prec@1 63.281 (67.537) Prec@5 85.156 (86.341) Epoch: [67][7420/10010] Time 0.337 (0.327) Data 0.001 (0.001) Loss 1.5393 (1.4022) Prec@1 65.625 (67.534) Prec@5 82.812 (86.338) Epoch: [67][7430/10010] Time 0.332 (0.327) Data 0.000 (0.001) Loss 1.4286 (1.4022) Prec@1 65.625 (67.532) Prec@5 84.375 (86.338) Epoch: [67][7440/10010] Time 0.319 (0.327) Data 0.001 (0.001) Loss 1.3416 (1.4022) Prec@1 68.750 (67.533) Prec@5 83.594 (86.338) Epoch: [67][7450/10010] Time 0.324 (0.327) Data 0.001 (0.001) Loss 1.5844 (1.4022) Prec@1 64.844 (67.538) Prec@5 84.375 (86.338) Epoch: [67][7460/10010] Time 0.324 (0.327) Data 0.001 (0.001) Loss 1.5922 (1.4022) Prec@1 70.312 (67.539) Prec@5 82.812 (86.336) Epoch: [67][7470/10010] Time 0.334 (0.327) Data 0.001 (0.001) Loss 1.4325 (1.4021) Prec@1 67.969 (67.539) Prec@5 84.375 (86.336) Epoch: [67][7480/10010] Time 0.337 (0.327) Data 0.000 (0.001) Loss 1.6126 (1.4022) Prec@1 64.844 (67.537) Prec@5 84.375 (86.337) Epoch: [67][7490/10010] Time 0.319 (0.327) Data 0.001 (0.001) Loss 1.8494 (1.4023) Prec@1 64.062 (67.536) Prec@5 82.812 (86.335) Epoch: [67][7500/10010] Time 0.317 (0.327) Data 0.001 (0.001) Loss 1.6378 (1.4024) Prec@1 64.062 (67.533) Prec@5 84.375 (86.334) Epoch: [67][7510/10010] Time 0.328 (0.327) Data 0.000 (0.001) Loss 1.3792 (1.4023) Prec@1 67.969 (67.535) Prec@5 85.156 (86.335) Epoch: [67][7520/10010] Time 0.338 (0.327) Data 0.000 (0.001) Loss 1.4158 (1.4024) Prec@1 64.844 (67.534) Prec@5 86.719 (86.334) Epoch: [67][7530/10010] Time 0.338 (0.327) Data 0.000 (0.001) Loss 1.5982 (1.4025) Prec@1 64.844 (67.531) Prec@5 89.062 (86.334) Epoch: [67][7540/10010] Time 0.318 (0.327) Data 0.001 (0.001) Loss 1.5411 (1.4025) Prec@1 63.281 (67.529) Prec@5 84.375 (86.334) Epoch: [67][7550/10010] Time 0.336 (0.327) Data 0.000 (0.001) Loss 1.4118 (1.4024) Prec@1 67.969 (67.531) Prec@5 89.062 (86.336) Epoch: [67][7560/10010] Time 0.321 (0.327) Data 0.001 (0.001) Loss 1.7970 (1.4023) Prec@1 60.938 (67.532) Prec@5 78.906 (86.337) Epoch: [67][7570/10010] Time 0.331 (0.327) Data 0.001 (0.001) Loss 1.6603 (1.4024) Prec@1 63.281 (67.530) Prec@5 83.594 (86.337) Epoch: [67][7580/10010] Time 0.341 (0.327) Data 0.001 (0.001) Loss 1.2460 (1.4023) Prec@1 71.875 (67.532) Prec@5 85.938 (86.339) Epoch: [67][7590/10010] Time 0.317 (0.327) Data 0.000 (0.001) Loss 1.4371 (1.4023) Prec@1 71.094 (67.533) Prec@5 85.156 (86.338) Epoch: [67][7600/10010] Time 0.326 (0.327) Data 0.001 (0.001) Loss 1.2482 (1.4024) Prec@1 66.406 (67.531) Prec@5 91.406 (86.336) Epoch: [67][7610/10010] Time 0.323 (0.327) Data 0.001 (0.001) Loss 1.6019 (1.4024) Prec@1 61.719 (67.530) Prec@5 85.938 (86.336) Epoch: [67][7620/10010] Time 0.336 (0.327) Data 0.001 (0.001) Loss 1.3871 (1.4024) Prec@1 67.188 (67.530) Prec@5 85.938 (86.337) Epoch: [67][7630/10010] Time 0.316 (0.327) Data 0.001 (0.001) Loss 1.2690 (1.4023) Prec@1 68.750 (67.532) Prec@5 85.156 (86.338) Epoch: [67][7640/10010] Time 0.332 (0.327) Data 0.001 (0.001) Loss 1.1693 (1.4023) Prec@1 71.875 (67.532) Prec@5 86.719 (86.338) Epoch: [67][7650/10010] Time 0.334 (0.327) Data 0.001 (0.001) Loss 1.4867 (1.4024) Prec@1 67.969 (67.531) Prec@5 84.375 (86.337) Epoch: [67][7660/10010] Time 0.325 (0.327) Data 0.000 (0.001) Loss 1.5089 (1.4024) Prec@1 64.844 (67.530) Prec@5 82.812 (86.335) Epoch: [67][7670/10010] Time 0.315 (0.327) Data 0.001 (0.001) Loss 1.6935 (1.4025) Prec@1 59.375 (67.527) Prec@5 80.469 (86.333) Epoch: [67][7680/10010] Time 0.341 (0.327) Data 0.000 (0.001) Loss 1.3727 (1.4024) Prec@1 75.781 (67.532) Prec@5 86.719 (86.334) Epoch: [67][7690/10010] Time 0.319 (0.327) Data 0.001 (0.001) Loss 1.3823 (1.4023) Prec@1 68.750 (67.535) Prec@5 86.719 (86.336) Epoch: [67][7700/10010] Time 0.345 (0.327) Data 0.001 (0.001) Loss 1.3175 (1.4022) Prec@1 71.875 (67.536) Prec@5 85.938 (86.338) Epoch: [67][7710/10010] Time 0.326 (0.327) Data 0.001 (0.001) Loss 1.5201 (1.4022) Prec@1 65.625 (67.535) Prec@5 85.156 (86.337) Epoch: [67][7720/10010] Time 0.329 (0.327) Data 0.000 (0.001) Loss 1.3934 (1.4022) Prec@1 64.062 (67.533) Prec@5 85.156 (86.337) Epoch: [67][7730/10010] Time 0.324 (0.327) Data 0.001 (0.001) Loss 1.6071 (1.4022) Prec@1 63.281 (67.531) Prec@5 82.031 (86.336) Epoch: [67][7740/10010] Time 0.333 (0.327) Data 0.001 (0.001) Loss 1.4895 (1.4023) Prec@1 70.312 (67.531) Prec@5 85.156 (86.334) Epoch: [67][7750/10010] Time 0.337 (0.327) Data 0.001 (0.001) Loss 1.1514 (1.4022) Prec@1 78.125 (67.536) Prec@5 88.281 (86.336) Epoch: [67][7760/10010] Time 0.331 (0.327) Data 0.000 (0.001) Loss 1.3548 (1.4022) Prec@1 69.531 (67.535) Prec@5 87.500 (86.336) Epoch: [67][7770/10010] Time 0.321 (0.327) Data 0.000 (0.001) Loss 1.2756 (1.4022) Prec@1 67.188 (67.535) Prec@5 89.062 (86.335) Epoch: [67][7780/10010] Time 0.337 (0.327) Data 0.001 (0.001) Loss 1.4791 (1.4023) Prec@1 65.625 (67.531) Prec@5 87.500 (86.334) Epoch: [67][7790/10010] Time 0.322 (0.327) Data 0.001 (0.001) Loss 1.6270 (1.4024) Prec@1 60.156 (67.531) Prec@5 82.031 (86.334) Epoch: [67][7800/10010] Time 0.338 (0.327) Data 0.000 (0.001) Loss 1.5919 (1.4023) Prec@1 64.844 (67.532) Prec@5 85.156 (86.335) Epoch: [67][7810/10010] Time 0.320 (0.327) Data 0.001 (0.001) Loss 1.7447 (1.4023) Prec@1 61.719 (67.532) Prec@5 81.250 (86.338) Epoch: [67][7820/10010] Time 0.332 (0.327) Data 0.001 (0.001) Loss 1.3452 (1.4023) Prec@1 66.406 (67.532) Prec@5 86.719 (86.338) Epoch: [67][7830/10010] Time 0.330 (0.327) Data 0.001 (0.001) Loss 1.4100 (1.4022) Prec@1 66.406 (67.534) Prec@5 84.375 (86.340) Epoch: [67][7840/10010] Time 0.338 (0.327) Data 0.000 (0.001) Loss 1.3239 (1.4020) Prec@1 67.969 (67.535) Prec@5 87.500 (86.342) Epoch: [67][7850/10010] Time 0.329 (0.327) Data 0.000 (0.001) Loss 1.3109 (1.4021) Prec@1 71.875 (67.533) Prec@5 85.938 (86.342) Epoch: [67][7860/10010] Time 0.330 (0.327) Data 0.000 (0.001) Loss 1.5503 (1.4022) Prec@1 64.062 (67.530) Prec@5 85.938 (86.338) Epoch: [67][7870/10010] Time 0.309 (0.327) Data 0.001 (0.001) Loss 1.3956 (1.4023) Prec@1 73.438 (67.530) Prec@5 84.375 (86.336) Epoch: [67][7880/10010] Time 0.322 (0.327) Data 0.001 (0.001) Loss 1.3867 (1.4022) Prec@1 67.188 (67.532) Prec@5 85.938 (86.336) Epoch: [67][7890/10010] Time 0.321 (0.327) Data 0.001 (0.001) Loss 1.2456 (1.4023) Prec@1 67.969 (67.530) Prec@5 89.062 (86.335) Epoch: [67][7900/10010] Time 0.332 (0.327) Data 0.001 (0.001) Loss 1.5203 (1.4023) Prec@1 65.625 (67.531) Prec@5 88.281 (86.334) Epoch: [67][7910/10010] Time 0.339 (0.327) Data 0.000 (0.001) Loss 1.4468 (1.4024) Prec@1 63.281 (67.529) Prec@5 85.156 (86.334) Epoch: [67][7920/10010] Time 0.316 (0.327) Data 0.000 (0.001) Loss 1.5071 (1.4024) Prec@1 64.062 (67.530) Prec@5 85.938 (86.334) Epoch: [67][7930/10010] Time 0.315 (0.327) Data 0.001 (0.001) Loss 1.3423 (1.4024) Prec@1 66.406 (67.528) Prec@5 85.156 (86.334) Epoch: [67][7940/10010] Time 0.317 (0.327) Data 0.001 (0.001) Loss 1.4632 (1.4025) Prec@1 65.625 (67.525) Prec@5 85.938 (86.333) Epoch: [67][7950/10010] Time 0.336 (0.327) Data 0.000 (0.001) Loss 1.4317 (1.4025) Prec@1 63.281 (67.524) Prec@5 87.500 (86.333) Epoch: [67][7960/10010] Time 0.339 (0.327) Data 0.001 (0.001) Loss 1.4613 (1.4025) Prec@1 64.844 (67.526) Prec@5 85.938 (86.333) Epoch: [67][7970/10010] Time 0.330 (0.327) Data 0.001 (0.001) Loss 1.6651 (1.4025) Prec@1 60.156 (67.524) Prec@5 85.938 (86.333) Epoch: [67][7980/10010] Time 0.325 (0.327) Data 0.001 (0.001) Loss 1.5021 (1.4024) Prec@1 65.625 (67.526) Prec@5 87.500 (86.337) Epoch: [67][7990/10010] Time 0.338 (0.327) Data 0.000 (0.001) Loss 1.3341 (1.4024) Prec@1 67.969 (67.526) Prec@5 89.062 (86.337) Epoch: [67][8000/10010] Time 0.340 (0.327) Data 0.000 (0.001) Loss 1.3889 (1.4024) Prec@1 68.750 (67.526) Prec@5 88.281 (86.338) Epoch: [67][8010/10010] Time 0.314 (0.327) Data 0.001 (0.001) Loss 1.4980 (1.4025) Prec@1 64.844 (67.527) Prec@5 85.156 (86.336) Epoch: [67][8020/10010] Time 0.335 (0.327) Data 0.000 (0.001) Loss 1.2661 (1.4024) Prec@1 69.531 (67.528) Prec@5 87.500 (86.338) Epoch: [67][8030/10010] Time 0.325 (0.327) Data 0.001 (0.001) Loss 1.4233 (1.4024) Prec@1 64.844 (67.527) Prec@5 84.375 (86.336) Epoch: [67][8040/10010] Time 0.342 (0.327) Data 0.000 (0.001) Loss 1.3554 (1.4024) Prec@1 68.750 (67.528) Prec@5 86.719 (86.337) Epoch: [67][8050/10010] Time 0.313 (0.327) Data 0.001 (0.001) Loss 1.5575 (1.4024) Prec@1 64.062 (67.527) Prec@5 84.375 (86.335) Epoch: [67][8060/10010] Time 0.338 (0.327) Data 0.000 (0.001) Loss 1.4517 (1.4024) Prec@1 60.156 (67.526) Prec@5 85.938 (86.336) Epoch: [67][8070/10010] Time 0.312 (0.327) Data 0.001 (0.001) Loss 1.6714 (1.4025) Prec@1 60.938 (67.525) Prec@5 79.688 (86.336) Epoch: [67][8080/10010] Time 0.333 (0.327) Data 0.000 (0.001) Loss 1.2063 (1.4025) Prec@1 72.656 (67.525) Prec@5 89.062 (86.334) Epoch: [67][8090/10010] Time 0.336 (0.327) Data 0.000 (0.001) Loss 1.4332 (1.4024) Prec@1 67.969 (67.526) Prec@5 83.594 (86.336) Epoch: [67][8100/10010] Time 0.327 (0.327) Data 0.001 (0.001) Loss 1.4101 (1.4024) Prec@1 63.281 (67.525) Prec@5 88.281 (86.336) Epoch: [67][8110/10010] Time 0.336 (0.327) Data 0.000 (0.001) Loss 1.6754 (1.4026) Prec@1 65.625 (67.522) Prec@5 82.812 (86.335) Epoch: [67][8120/10010] Time 0.335 (0.327) Data 0.000 (0.001) Loss 1.2691 (1.4026) Prec@1 65.625 (67.519) Prec@5 89.844 (86.335) Epoch: [67][8130/10010] Time 0.339 (0.327) Data 0.001 (0.001) Loss 1.5478 (1.4026) Prec@1 64.062 (67.519) Prec@5 87.500 (86.334) Epoch: [67][8140/10010] Time 0.321 (0.327) Data 0.000 (0.001) Loss 1.6854 (1.4026) Prec@1 59.375 (67.517) Prec@5 80.469 (86.332) Epoch: [67][8150/10010] Time 0.326 (0.327) Data 0.000 (0.001) Loss 1.2194 (1.4027) Prec@1 71.875 (67.515) Prec@5 89.062 (86.331) Epoch: [67][8160/10010] Time 0.316 (0.327) Data 0.000 (0.001) Loss 1.4614 (1.4028) Prec@1 67.969 (67.515) Prec@5 85.156 (86.331) Epoch: [67][8170/10010] Time 0.323 (0.327) Data 0.000 (0.001) Loss 1.5141 (1.4027) Prec@1 67.188 (67.516) Prec@5 85.938 (86.331) Epoch: [67][8180/10010] Time 0.321 (0.327) Data 0.000 (0.001) Loss 1.4503 (1.4026) Prec@1 67.969 (67.518) Prec@5 86.719 (86.332) Epoch: [67][8190/10010] Time 0.322 (0.327) Data 0.000 (0.001) Loss 1.6267 (1.4027) Prec@1 62.500 (67.515) Prec@5 79.688 (86.332) Epoch: [67][8200/10010] Time 0.323 (0.327) Data 0.001 (0.001) Loss 1.1463 (1.4027) Prec@1 67.188 (67.514) Prec@5 91.406 (86.332) Epoch: [67][8210/10010] Time 0.324 (0.327) Data 0.001 (0.001) Loss 1.1464 (1.4027) Prec@1 71.094 (67.512) Prec@5 90.625 (86.331) Epoch: [67][8220/10010] Time 0.318 (0.327) Data 0.001 (0.001) Loss 1.3627 (1.4027) Prec@1 71.875 (67.513) Prec@5 85.156 (86.332) Epoch: [67][8230/10010] Time 0.314 (0.327) Data 0.001 (0.001) Loss 1.5200 (1.4027) Prec@1 61.719 (67.513) Prec@5 85.938 (86.331) /data/vision/torralba/deepscene/lib/anaconda2/lib/python2.7/site-packages/PIL/TiffImagePlugin.py:692: UserWarning: Possibly corrupt EXIF data. Expecting to read 2555904 bytes but only got 0. Skipping tag 0 "Skipping tag %s" % (size, len(data), tag)) Epoch: [67][8240/10010] Time 0.318 (0.327) Data 0.001 (0.001) Loss 1.4179 (1.4028) Prec@1 67.188 (67.513) Prec@5 88.281 (86.331) Epoch: [67][8250/10010] Time 0.323 (0.327) Data 0.000 (0.001) Loss 1.5778 (1.4028) Prec@1 60.938 (67.514) Prec@5 80.469 (86.332) Epoch: [67][8260/10010] Time 0.332 (0.327) Data 0.000 (0.001) Loss 1.4231 (1.4027) Prec@1 64.844 (67.513) Prec@5 80.469 (86.332) Epoch: [67][8270/10010] Time 0.330 (0.327) Data 0.001 (0.001) Loss 1.4145 (1.4027) Prec@1 66.406 (67.515) Prec@5 85.156 (86.332) Epoch: [67][8280/10010] Time 0.321 (0.327) Data 0.001 (0.001) Loss 1.5909 (1.4028) Prec@1 64.844 (67.514) Prec@5 85.938 (86.332) Epoch: [67][8290/10010] Time 0.326 (0.327) Data 0.000 (0.001) Loss 1.6597 (1.4028) Prec@1 60.938 (67.514) Prec@5 81.250 (86.330) Epoch: [67][8300/10010] Time 0.323 (0.327) Data 0.001 (0.001) Loss 1.3433 (1.4028) Prec@1 64.062 (67.512) Prec@5 87.500 (86.330) Epoch: [67][8310/10010] Time 0.320 (0.327) Data 0.001 (0.001) Loss 1.4330 (1.4027) Prec@1 64.844 (67.513) Prec@5 85.156 (86.331) Epoch: [67][8320/10010] Time 0.316 (0.327) Data 0.001 (0.001) Loss 1.6265 (1.4028) Prec@1 57.812 (67.511) Prec@5 84.375 (86.331) Epoch: [67][8330/10010] Time 0.334 (0.327) Data 0.001 (0.001) Loss 1.5252 (1.4027) Prec@1 60.938 (67.511) Prec@5 86.719 (86.333) Epoch: [67][8340/10010] Time 0.320 (0.327) Data 0.001 (0.001) Loss 1.4831 (1.4028) Prec@1 64.062 (67.511) Prec@5 86.719 (86.333) Epoch: [67][8350/10010] Time 0.331 (0.327) Data 0.001 (0.001) Loss 1.4161 (1.4028) Prec@1 66.406 (67.510) Prec@5 85.938 (86.333) Epoch: [67][8360/10010] Time 0.312 (0.327) Data 0.001 (0.001) Loss 1.5096 (1.4028) Prec@1 64.062 (67.509) Prec@5 84.375 (86.335) Epoch: [67][8370/10010] Time 0.322 (0.327) Data 0.001 (0.001) Loss 1.3339 (1.4027) Prec@1 71.094 (67.510) Prec@5 89.844 (86.337) Epoch: [67][8380/10010] Time 0.339 (0.327) Data 0.001 (0.001) Loss 1.3917 (1.4027) Prec@1 69.531 (67.512) Prec@5 85.938 (86.336) Epoch: [67][8390/10010] Time 0.308 (0.327) Data 0.001 (0.001) Loss 1.5423 (1.4028) Prec@1 65.625 (67.513) Prec@5 82.812 (86.333) Epoch: [67][8400/10010] Time 0.333 (0.327) Data 0.000 (0.001) Loss 1.1358 (1.4028) Prec@1 71.094 (67.514) Prec@5 90.625 (86.334) Epoch: [67][8410/10010] Time 0.322 (0.327) Data 0.001 (0.001) Loss 1.1299 (1.4027) Prec@1 71.094 (67.515) Prec@5 92.188 (86.336) Epoch: [67][8420/10010] Time 0.315 (0.327) Data 0.000 (0.001) Loss 1.4082 (1.4026) Prec@1 65.625 (67.516) Prec@5 87.500 (86.336) Epoch: [67][8430/10010] Time 0.317 (0.327) Data 0.001 (0.001) Loss 1.3619 (1.4027) Prec@1 65.625 (67.515) Prec@5 84.375 (86.336) Epoch: [67][8440/10010] Time 0.328 (0.327) Data 0.001 (0.001) Loss 1.1901 (1.4026) Prec@1 70.312 (67.515) Prec@5 89.062 (86.338) Epoch: [67][8450/10010] Time 0.336 (0.327) Data 0.001 (0.001) Loss 1.3035 (1.4026) Prec@1 69.531 (67.516) Prec@5 87.500 (86.339) Epoch: [67][8460/10010] Time 0.325 (0.327) Data 0.001 (0.001) Loss 1.5684 (1.4024) Prec@1 64.844 (67.517) Prec@5 82.812 (86.340) Epoch: [67][8470/10010] Time 0.332 (0.327) Data 0.001 (0.001) Loss 1.5060 (1.4024) Prec@1 71.094 (67.518) Prec@5 83.594 (86.340) Epoch: [67][8480/10010] Time 0.309 (0.327) Data 0.001 (0.001) Loss 1.5498 (1.4025) Prec@1 64.844 (67.517) Prec@5 83.594 (86.338) Epoch: [67][8490/10010] Time 0.317 (0.327) Data 0.001 (0.001) Loss 1.3565 (1.4025) Prec@1 68.750 (67.519) Prec@5 82.031 (86.337) Epoch: [67][8500/10010] Time 0.316 (0.327) Data 0.001 (0.001) Loss 1.7781 (1.4025) Prec@1 60.156 (67.518) Prec@5 82.031 (86.337) Epoch: [67][8510/10010] Time 0.331 (0.327) Data 0.001 (0.001) Loss 1.2796 (1.4025) Prec@1 68.750 (67.516) Prec@5 89.062 (86.338) Epoch: [67][8520/10010] Time 0.333 (0.327) Data 0.001 (0.001) Loss 1.4797 (1.4025) Prec@1 67.188 (67.515) Prec@5 83.594 (86.338) Epoch: [67][8530/10010] Time 0.339 (0.327) Data 0.000 (0.001) Loss 1.5563 (1.4026) Prec@1 65.625 (67.515) Prec@5 84.375 (86.338) Epoch: [67][8540/10010] Time 0.336 (0.327) Data 0.001 (0.001) Loss 1.4380 (1.4025) Prec@1 60.156 (67.516) Prec@5 90.625 (86.340) Epoch: [67][8550/10010] Time 0.333 (0.327) Data 0.001 (0.001) Loss 1.2419 (1.4025) Prec@1 71.094 (67.514) Prec@5 87.500 (86.340) Epoch: [67][8560/10010] Time 0.314 (0.327) Data 0.001 (0.001) Loss 1.4275 (1.4024) Prec@1 67.188 (67.518) Prec@5 85.156 (86.342) Epoch: [67][8570/10010] Time 0.334 (0.327) Data 0.000 (0.001) Loss 1.5121 (1.4024) Prec@1 59.375 (67.517) Prec@5 83.594 (86.342) Epoch: [67][8580/10010] Time 0.327 (0.327) Data 0.000 (0.001) Loss 1.3548 (1.4024) Prec@1 68.750 (67.516) Prec@5 88.281 (86.343) Epoch: [67][8590/10010] Time 0.325 (0.327) Data 0.001 (0.001) Loss 1.1675 (1.4024) Prec@1 67.969 (67.516) Prec@5 92.969 (86.344) Epoch: [67][8600/10010] Time 0.331 (0.327) Data 0.001 (0.001) Loss 1.3130 (1.4025) Prec@1 72.656 (67.516) Prec@5 89.844 (86.344) Epoch: [67][8610/10010] Time 0.323 (0.327) Data 0.001 (0.001) Loss 1.7657 (1.4025) Prec@1 67.188 (67.517) Prec@5 81.250 (86.343) Epoch: [67][8620/10010] Time 0.341 (0.327) Data 0.000 (0.001) Loss 1.2010 (1.4025) Prec@1 71.094 (67.515) Prec@5 88.281 (86.342) Epoch: [67][8630/10010] Time 0.336 (0.327) Data 0.000 (0.001) Loss 1.3687 (1.4025) Prec@1 67.188 (67.516) Prec@5 87.500 (86.342) Epoch: [67][8640/10010] Time 0.324 (0.327) Data 0.001 (0.001) Loss 1.2117 (1.4025) Prec@1 71.875 (67.517) Prec@5 87.500 (86.342) Epoch: [67][8650/10010] Time 0.333 (0.327) Data 0.001 (0.001) Loss 1.4551 (1.4024) Prec@1 64.844 (67.519) Prec@5 86.719 (86.344) Epoch: [67][8660/10010] Time 0.313 (0.327) Data 0.001 (0.001) Loss 1.3272 (1.4025) Prec@1 67.188 (67.518) Prec@5 86.719 (86.343) Epoch: [67][8670/10010] Time 0.317 (0.327) Data 0.001 (0.001) Loss 1.0156 (1.4024) Prec@1 72.656 (67.520) Prec@5 90.625 (86.345) Epoch: [67][8680/10010] Time 0.314 (0.327) Data 0.001 (0.001) Loss 1.5184 (1.4024) Prec@1 61.719 (67.518) Prec@5 84.375 (86.345) Epoch: [67][8690/10010] Time 0.324 (0.327) Data 0.001 (0.001) Loss 1.2688 (1.4025) Prec@1 71.094 (67.519) Prec@5 90.625 (86.345) Epoch: [67][8700/10010] Time 0.318 (0.327) Data 0.001 (0.001) Loss 1.6230 (1.4026) Prec@1 63.281 (67.519) Prec@5 81.250 (86.344) Epoch: [67][8710/10010] Time 0.327 (0.327) Data 0.001 (0.001) Loss 1.2445 (1.4026) Prec@1 70.312 (67.515) Prec@5 87.500 (86.345) Epoch: [67][8720/10010] Time 0.337 (0.327) Data 0.001 (0.001) Loss 1.3907 (1.4025) Prec@1 73.438 (67.519) Prec@5 84.375 (86.347) Epoch: [67][8730/10010] Time 0.312 (0.327) Data 0.001 (0.001) Loss 1.4754 (1.4026) Prec@1 64.062 (67.518) Prec@5 85.938 (86.345) Epoch: [67][8740/10010] Time 0.338 (0.327) Data 0.001 (0.001) Loss 1.3588 (1.4027) Prec@1 71.094 (67.515) Prec@5 82.812 (86.343) /data/vision/torralba/deepscene/lib/anaconda2/lib/python2.7/site-packages/PIL/TiffImagePlugin.py:692: UserWarning: Possibly corrupt EXIF data. Expecting to read 19660800 bytes but only got 0. Skipping tag 0 "Skipping tag %s" % (size, len(data), tag)) /data/vision/torralba/deepscene/lib/anaconda2/lib/python2.7/site-packages/PIL/TiffImagePlugin.py:692: UserWarning: Possibly corrupt EXIF data. Expecting to read 18481152 bytes but only got 0. Skipping tag 0 "Skipping tag %s" % (size, len(data), tag)) /data/vision/torralba/deepscene/lib/anaconda2/lib/python2.7/site-packages/PIL/TiffImagePlugin.py:692: UserWarning: Possibly corrupt EXIF data. Expecting to read 37093376 bytes but only got 0. Skipping tag 0 "Skipping tag %s" % (size, len(data), tag)) /data/vision/torralba/deepscene/lib/anaconda2/lib/python2.7/site-packages/PIL/TiffImagePlugin.py:692: UserWarning: Possibly corrupt EXIF data. Expecting to read 39976960 bytes but only got 0. Skipping tag 0 "Skipping tag %s" % (size, len(data), tag)) /data/vision/torralba/deepscene/lib/anaconda2/lib/python2.7/site-packages/PIL/TiffImagePlugin.py:692: UserWarning: Possibly corrupt EXIF data. Expecting to read 34865152 bytes but only got 0. Skipping tag 0 "Skipping tag %s" % (size, len(data), tag)) /data/vision/torralba/deepscene/lib/anaconda2/lib/python2.7/site-packages/PIL/TiffImagePlugin.py:709: UserWarning: Corrupt EXIF data. Expecting to read 12 bytes but only got 10. warnings.warn(str(msg)) Epoch: [67][8750/10010] Time 0.335 (0.327) Data 0.001 (0.001) Loss 1.3257 (1.4028) Prec@1 71.875 (67.514) Prec@5 88.281 (86.342) Epoch: [67][8760/10010] Time 0.335 (0.327) Data 0.000 (0.001) Loss 1.5007 (1.4027) Prec@1 65.625 (67.515) Prec@5 84.375 (86.343) Epoch: [67][8770/10010] Time 0.332 (0.327) Data 0.001 (0.001) Loss 1.3739 (1.4027) Prec@1 67.969 (67.513) Prec@5 82.031 (86.341) Epoch: [67][8780/10010] Time 0.338 (0.327) Data 0.000 (0.001) Loss 1.5089 (1.4027) Prec@1 67.188 (67.513) Prec@5 87.500 (86.342) Epoch: [67][8790/10010] Time 0.317 (0.327) Data 0.001 (0.001) Loss 1.4833 (1.4027) Prec@1 67.188 (67.514) Prec@5 84.375 (86.342) Epoch: [67][8800/10010] Time 0.333 (0.327) Data 0.001 (0.001) Loss 1.3077 (1.4027) Prec@1 61.719 (67.513) Prec@5 91.406 (86.342) Epoch: [67][8810/10010] Time 0.315 (0.327) Data 0.001 (0.001) Loss 1.5850 (1.4026) Prec@1 64.062 (67.517) Prec@5 83.594 (86.343) Epoch: [67][8820/10010] Time 0.334 (0.327) Data 0.001 (0.001) Loss 1.3212 (1.4026) Prec@1 71.875 (67.518) Prec@5 84.375 (86.343) Epoch: [67][8830/10010] Time 0.312 (0.327) Data 0.000 (0.001) Loss 1.4859 (1.4026) Prec@1 64.062 (67.518) Prec@5 85.156 (86.344) Epoch: [67][8840/10010] Time 0.333 (0.327) Data 0.001 (0.001) Loss 1.5422 (1.4025) Prec@1 63.281 (67.518) Prec@5 83.594 (86.343) Epoch: [67][8850/10010] Time 0.324 (0.327) Data 0.001 (0.001) Loss 1.5038 (1.4027) Prec@1 64.062 (67.515) Prec@5 88.281 (86.342) Epoch: [67][8860/10010] Time 0.332 (0.327) Data 0.001 (0.001) Loss 1.3432 (1.4026) Prec@1 69.531 (67.517) Prec@5 87.500 (86.343) Epoch: [67][8870/10010] Time 0.310 (0.327) Data 0.001 (0.001) Loss 1.3526 (1.4026) Prec@1 64.062 (67.519) Prec@5 83.594 (86.343) Epoch: [67][8880/10010] Time 0.337 (0.327) Data 0.000 (0.001) Loss 1.3761 (1.4026) Prec@1 67.188 (67.518) Prec@5 87.500 (86.343) Epoch: [67][8890/10010] Time 0.339 (0.327) Data 0.000 (0.001) Loss 1.3884 (1.4026) Prec@1 66.406 (67.520) Prec@5 86.719 (86.343) Epoch: [67][8900/10010] Time 0.322 (0.327) Data 0.001 (0.001) Loss 1.3943 (1.4026) Prec@1 68.750 (67.518) Prec@5 84.375 (86.342) Epoch: [67][8910/10010] Time 0.318 (0.327) Data 0.001 (0.001) Loss 1.0676 (1.4026) Prec@1 72.656 (67.517) Prec@5 90.625 (86.341) Epoch: [67][8920/10010] Time 0.318 (0.327) Data 0.001 (0.001) Loss 1.4015 (1.4027) Prec@1 66.406 (67.517) Prec@5 85.156 (86.342) Epoch: [67][8930/10010] Time 0.323 (0.327) Data 0.000 (0.001) Loss 1.3447 (1.4027) Prec@1 68.750 (67.516) Prec@5 83.594 (86.340) Epoch: [67][8940/10010] Time 0.339 (0.327) Data 0.001 (0.001) Loss 1.5319 (1.4028) Prec@1 67.188 (67.516) Prec@5 85.156 (86.340) Epoch: [67][8950/10010] Time 0.323 (0.327) Data 0.000 (0.001) Loss 1.5996 (1.4028) Prec@1 64.062 (67.516) Prec@5 86.719 (86.340) Epoch: [67][8960/10010] Time 0.340 (0.327) Data 0.000 (0.001) Loss 1.5546 (1.4028) Prec@1 67.188 (67.518) Prec@5 78.906 (86.339) Epoch: [67][8970/10010] Time 0.315 (0.327) Data 0.001 (0.001) Loss 1.0860 (1.4027) Prec@1 67.188 (67.519) Prec@5 92.969 (86.339) Epoch: [67][8980/10010] Time 0.328 (0.327) Data 0.001 (0.001) Loss 1.1978 (1.4027) Prec@1 72.656 (67.518) Prec@5 88.281 (86.340) Epoch: [67][8990/10010] Time 0.335 (0.327) Data 0.000 (0.001) Loss 1.2894 (1.4027) Prec@1 66.406 (67.519) Prec@5 89.844 (86.342) Epoch: [67][9000/10010] Time 0.338 (0.327) Data 0.000 (0.001) Loss 1.4635 (1.4028) Prec@1 63.281 (67.517) Prec@5 85.938 (86.342) Epoch: [67][9010/10010] Time 0.319 (0.327) Data 0.001 (0.001) Loss 1.2589 (1.4027) Prec@1 71.094 (67.516) Prec@5 88.281 (86.342) Epoch: [67][9020/10010] Time 0.315 (0.327) Data 0.001 (0.001) Loss 1.6956 (1.4028) Prec@1 62.500 (67.515) Prec@5 82.031 (86.342) Epoch: [67][9030/10010] Time 0.330 (0.327) Data 0.001 (0.001) Loss 1.7105 (1.4029) Prec@1 60.938 (67.512) Prec@5 82.031 (86.342) Epoch: [67][9040/10010] Time 0.318 (0.327) Data 0.001 (0.001) Loss 1.2592 (1.4028) Prec@1 71.094 (67.512) Prec@5 87.500 (86.341) Epoch: [67][9050/10010] Time 0.342 (0.327) Data 0.000 (0.001) Loss 1.2420 (1.4028) Prec@1 66.406 (67.514) Prec@5 89.844 (86.343) Epoch: [67][9060/10010] Time 0.330 (0.327) Data 0.001 (0.001) Loss 1.0833 (1.4027) Prec@1 78.125 (67.517) Prec@5 89.062 (86.343) Epoch: [67][9070/10010] Time 0.337 (0.327) Data 0.001 (0.001) Loss 1.4886 (1.4027) Prec@1 64.062 (67.516) Prec@5 85.156 (86.343) Epoch: [67][9080/10010] Time 0.326 (0.327) Data 0.001 (0.001) Loss 1.8004 (1.4029) Prec@1 54.688 (67.511) Prec@5 84.375 (86.342) Epoch: [67][9090/10010] Time 0.318 (0.327) Data 0.001 (0.001) Loss 1.4625 (1.4028) Prec@1 65.625 (67.512) Prec@5 89.062 (86.343) Epoch: [67][9100/10010] Time 0.337 (0.327) Data 0.001 (0.001) Loss 1.6598 (1.4028) Prec@1 64.844 (67.512) Prec@5 80.469 (86.342) Epoch: [67][9110/10010] Time 0.321 (0.327) Data 0.001 (0.001) Loss 1.2481 (1.4029) Prec@1 68.750 (67.511) Prec@5 87.500 (86.341) Epoch: [67][9120/10010] Time 0.340 (0.327) Data 0.000 (0.001) Loss 1.4799 (1.4030) Prec@1 70.312 (67.509) Prec@5 82.812 (86.341) Epoch: [67][9130/10010] Time 0.314 (0.327) Data 0.001 (0.001) Loss 1.6745 (1.4029) Prec@1 63.281 (67.509) Prec@5 84.375 (86.342) Epoch: [67][9140/10010] Time 0.342 (0.327) Data 0.001 (0.001) Loss 1.3789 (1.4030) Prec@1 71.094 (67.508) Prec@5 89.844 (86.339) Epoch: [67][9150/10010] Time 0.313 (0.327) Data 0.000 (0.001) Loss 1.2438 (1.4031) Prec@1 67.969 (67.508) Prec@5 91.406 (86.340) Epoch: [67][9160/10010] Time 0.319 (0.327) Data 0.001 (0.001) Loss 1.4617 (1.4032) Prec@1 66.406 (67.504) Prec@5 83.594 (86.340) Epoch: [67][9170/10010] Time 0.339 (0.327) Data 0.001 (0.001) Loss 1.5323 (1.4032) Prec@1 64.844 (67.502) Prec@5 83.594 (86.340) Epoch: [67][9180/10010] Time 0.318 (0.327) Data 0.001 (0.001) Loss 1.2654 (1.4032) Prec@1 67.188 (67.502) Prec@5 89.062 (86.341) Epoch: [67][9190/10010] Time 0.338 (0.327) Data 0.001 (0.001) Loss 1.3979 (1.4032) Prec@1 67.969 (67.502) Prec@5 85.938 (86.340) Epoch: [67][9200/10010] Time 0.317 (0.327) Data 0.000 (0.001) Loss 1.4557 (1.4032) Prec@1 63.281 (67.500) Prec@5 87.500 (86.340) Epoch: [67][9210/10010] Time 0.336 (0.327) Data 0.001 (0.001) Loss 1.4193 (1.4032) Prec@1 67.969 (67.500) Prec@5 87.500 (86.341) Epoch: [67][9220/10010] Time 0.325 (0.327) Data 0.001 (0.001) Loss 1.2727 (1.4032) Prec@1 71.875 (67.499) Prec@5 84.375 (86.341) Epoch: [67][9230/10010] Time 0.319 (0.327) Data 0.001 (0.001) Loss 1.2442 (1.4032) Prec@1 72.656 (67.499) Prec@5 89.844 (86.341) Epoch: [67][9240/10010] Time 0.330 (0.327) Data 0.000 (0.001) Loss 1.5278 (1.4033) Prec@1 63.281 (67.499) Prec@5 84.375 (86.340) Epoch: [67][9250/10010] Time 0.336 (0.327) Data 0.003 (0.001) Loss 1.2554 (1.4032) Prec@1 67.188 (67.499) Prec@5 91.406 (86.341) Epoch: [67][9260/10010] Time 0.329 (0.327) Data 0.001 (0.001) Loss 1.4158 (1.4032) Prec@1 67.188 (67.500) Prec@5 84.375 (86.340) Epoch: [67][9270/10010] Time 0.322 (0.327) Data 0.000 (0.001) Loss 1.2812 (1.4032) Prec@1 73.438 (67.502) Prec@5 85.938 (86.340) Epoch: [67][9280/10010] Time 0.324 (0.327) Data 0.000 (0.001) Loss 1.4555 (1.4032) Prec@1 67.188 (67.501) Prec@5 82.812 (86.339) Epoch: [67][9290/10010] Time 0.338 (0.327) Data 0.000 (0.001) Loss 1.6813 (1.4033) Prec@1 65.625 (67.499) Prec@5 79.688 (86.337) Epoch: [67][9300/10010] Time 0.337 (0.327) Data 0.001 (0.001) Loss 1.2439 (1.4033) Prec@1 64.844 (67.498) Prec@5 89.062 (86.337) Epoch: [67][9310/10010] Time 0.339 (0.327) Data 0.000 (0.001) Loss 1.2272 (1.4033) Prec@1 70.312 (67.499) Prec@5 86.719 (86.336) Epoch: [67][9320/10010] Time 0.342 (0.327) Data 0.000 (0.001) Loss 1.5500 (1.4032) Prec@1 60.938 (67.499) Prec@5 80.469 (86.335) Epoch: [67][9330/10010] Time 0.333 (0.327) Data 0.000 (0.001) Loss 1.3543 (1.4033) Prec@1 69.531 (67.499) Prec@5 85.938 (86.335) Epoch: [67][9340/10010] Time 0.319 (0.327) Data 0.001 (0.001) Loss 1.4427 (1.4032) Prec@1 64.844 (67.500) Prec@5 86.719 (86.336) Epoch: [67][9350/10010] Time 0.327 (0.327) Data 0.000 (0.001) Loss 1.2722 (1.4032) Prec@1 73.438 (67.499) Prec@5 85.938 (86.337) Epoch: [67][9360/10010] Time 0.328 (0.327) Data 0.000 (0.001) Loss 1.4008 (1.4031) Prec@1 70.312 (67.501) Prec@5 85.938 (86.337) Epoch: [67][9370/10010] Time 0.337 (0.327) Data 0.001 (0.001) Loss 1.1452 (1.4032) Prec@1 69.531 (67.499) Prec@5 89.844 (86.336) Epoch: [67][9380/10010] Time 0.319 (0.327) Data 0.001 (0.001) Loss 1.6952 (1.4033) Prec@1 62.500 (67.497) Prec@5 80.469 (86.334) Epoch: [67][9390/10010] Time 0.317 (0.327) Data 0.001 (0.001) Loss 1.1565 (1.4033) Prec@1 76.562 (67.497) Prec@5 92.188 (86.333) Epoch: [67][9400/10010] Time 0.338 (0.327) Data 0.000 (0.001) Loss 1.3947 (1.4033) Prec@1 70.312 (67.495) Prec@5 86.719 (86.333) Epoch: [67][9410/10010] Time 0.324 (0.327) Data 0.001 (0.001) Loss 1.2721 (1.4033) Prec@1 70.312 (67.495) Prec@5 86.719 (86.333) Epoch: [67][9420/10010] Time 0.335 (0.327) Data 0.000 (0.001) Loss 1.5535 (1.4034) Prec@1 62.500 (67.494) Prec@5 86.719 (86.332) Epoch: [67][9430/10010] Time 0.323 (0.327) Data 0.001 (0.001) Loss 1.5732 (1.4034) Prec@1 61.719 (67.492) Prec@5 84.375 (86.330) Epoch: [67][9440/10010] Time 0.330 (0.327) Data 0.000 (0.001) Loss 1.3440 (1.4034) Prec@1 65.625 (67.491) Prec@5 85.938 (86.330) Epoch: [67][9450/10010] Time 0.330 (0.327) Data 0.000 (0.001) Loss 1.2270 (1.4034) Prec@1 67.969 (67.493) Prec@5 89.844 (86.331) Epoch: [67][9460/10010] Time 0.339 (0.327) Data 0.001 (0.001) Loss 1.4876 (1.4034) Prec@1 64.062 (67.493) Prec@5 85.156 (86.330) Epoch: [67][9470/10010] Time 0.327 (0.327) Data 0.001 (0.001) Loss 1.3519 (1.4035) Prec@1 69.531 (67.491) Prec@5 87.500 (86.328) Epoch: [67][9480/10010] Time 0.326 (0.327) Data 0.001 (0.001) Loss 1.2010 (1.4034) Prec@1 68.750 (67.492) Prec@5 89.062 (86.330) Epoch: [67][9490/10010] Time 0.319 (0.327) Data 0.001 (0.001) Loss 1.8756 (1.4035) Prec@1 61.719 (67.492) Prec@5 79.688 (86.328) Epoch: [67][9500/10010] Time 0.314 (0.327) Data 0.001 (0.001) Loss 1.3520 (1.4035) Prec@1 66.406 (67.491) Prec@5 86.719 (86.327) Epoch: [67][9510/10010] Time 0.320 (0.327) Data 0.000 (0.001) Loss 1.1923 (1.4036) Prec@1 73.438 (67.491) Prec@5 91.406 (86.327) Epoch: [67][9520/10010] Time 0.338 (0.327) Data 0.000 (0.001) Loss 1.4318 (1.4035) Prec@1 67.969 (67.492) Prec@5 88.281 (86.328) Epoch: [67][9530/10010] Time 0.321 (0.327) Data 0.001 (0.001) Loss 1.3249 (1.4035) Prec@1 69.531 (67.492) Prec@5 85.938 (86.327) Epoch: [67][9540/10010] Time 0.327 (0.327) Data 0.000 (0.001) Loss 1.1087 (1.4035) Prec@1 70.312 (67.492) Prec@5 89.844 (86.326) Epoch: [67][9550/10010] Time 0.323 (0.327) Data 0.001 (0.001) Loss 1.5992 (1.4035) Prec@1 64.844 (67.492) Prec@5 81.250 (86.326) Epoch: [67][9560/10010] Time 0.318 (0.327) Data 0.001 (0.001) Loss 1.4697 (1.4035) Prec@1 68.750 (67.493) Prec@5 85.156 (86.326) Epoch: [67][9570/10010] Time 0.324 (0.327) Data 0.000 (0.001) Loss 1.2811 (1.4035) Prec@1 68.750 (67.493) Prec@5 85.938 (86.326) /data/vision/torralba/deepscene/lib/anaconda2/lib/python2.7/site-packages/PIL/TiffImagePlugin.py:692: UserWarning: Possibly corrupt EXIF data. Expecting to read 2555904 bytes but only got 0. Skipping tag 0 "Skipping tag %s" % (size, len(data), tag)) Epoch: [67][9580/10010] Time 0.314 (0.327) Data 0.000 (0.001) Loss 1.4120 (1.4035) Prec@1 62.500 (67.493) Prec@5 85.938 (86.326) Epoch: [67][9590/10010] Time 0.339 (0.327) Data 0.001 (0.001) Loss 1.5212 (1.4035) Prec@1 64.062 (67.492) Prec@5 85.156 (86.326) Epoch: [67][9600/10010] Time 0.321 (0.327) Data 0.000 (0.001) Loss 1.1789 (1.4036) Prec@1 70.312 (67.491) Prec@5 87.500 (86.326) Epoch: [67][9610/10010] Time 0.320 (0.327) Data 0.000 (0.001) Loss 1.1867 (1.4036) Prec@1 71.875 (67.492) Prec@5 88.281 (86.327) Epoch: [67][9620/10010] Time 0.311 (0.327) Data 0.001 (0.001) Loss 1.2245 (1.4035) Prec@1 69.531 (67.492) Prec@5 88.281 (86.327) Epoch: [67][9630/10010] Time 0.339 (0.327) Data 0.001 (0.001) Loss 1.6672 (1.4037) Prec@1 64.062 (67.490) Prec@5 82.031 (86.325) Epoch: [67][9640/10010] Time 0.334 (0.327) Data 0.001 (0.001) Loss 1.1055 (1.4037) Prec@1 75.000 (67.489) Prec@5 89.844 (86.325) Epoch: [67][9650/10010] Time 0.323 (0.327) Data 0.001 (0.001) Loss 1.5085 (1.4038) Prec@1 64.062 (67.488) Prec@5 85.938 (86.325) Epoch: [67][9660/10010] Time 0.339 (0.327) Data 0.001 (0.001) Loss 1.4134 (1.4038) Prec@1 64.844 (67.487) Prec@5 86.719 (86.324) Epoch: [67][9670/10010] Time 0.319 (0.327) Data 0.001 (0.001) Loss 1.0907 (1.4038) Prec@1 71.875 (67.488) Prec@5 91.406 (86.324) /data/vision/torralba/deepscene/lib/anaconda2/lib/python2.7/site-packages/PIL/TiffImagePlugin.py:692: UserWarning: Possibly corrupt EXIF data. Expecting to read 1835008 bytes but only got 0. Skipping tag 0 "Skipping tag %s" % (size, len(data), tag)) Epoch: [67][9680/10010] Time 0.336 (0.327) Data 0.001 (0.001) Loss 1.2593 (1.4038) Prec@1 71.875 (67.488) Prec@5 89.844 (86.324) Epoch: [67][9690/10010] Time 0.315 (0.327) Data 0.001 (0.001) Loss 1.4248 (1.4038) Prec@1 67.188 (67.487) Prec@5 87.500 (86.324) Epoch: [67][9700/10010] Time 0.313 (0.327) Data 0.001 (0.001) Loss 1.5381 (1.4038) Prec@1 65.625 (67.489) Prec@5 83.594 (86.324) Epoch: [67][9710/10010] Time 0.312 (0.327) Data 0.001 (0.001) Loss 1.4102 (1.4038) Prec@1 66.406 (67.488) Prec@5 90.625 (86.324) Epoch: [67][9720/10010] Time 0.328 (0.327) Data 0.000 (0.001) Loss 1.5154 (1.4038) Prec@1 63.281 (67.488) Prec@5 82.812 (86.324) Epoch: [67][9730/10010] Time 0.338 (0.327) Data 0.000 (0.001) Loss 1.4061 (1.4037) Prec@1 61.719 (67.488) Prec@5 87.500 (86.326) Epoch: [67][9740/10010] Time 0.336 (0.327) Data 0.000 (0.001) Loss 1.2739 (1.4038) Prec@1 70.312 (67.486) Prec@5 87.500 (86.325) Epoch: [67][9750/10010] Time 0.339 (0.327) Data 0.001 (0.001) Loss 1.3192 (1.4038) Prec@1 72.656 (67.486) Prec@5 86.719 (86.324) Epoch: [67][9760/10010] Time 0.324 (0.327) Data 0.000 (0.001) Loss 1.3813 (1.4038) Prec@1 68.750 (67.485) Prec@5 87.500 (86.325) Epoch: [67][9770/10010] Time 0.323 (0.327) Data 0.000 (0.001) Loss 1.3107 (1.4036) Prec@1 71.094 (67.488) Prec@5 87.500 (86.327) Epoch: [67][9780/10010] Time 0.312 (0.327) Data 0.001 (0.001) Loss 1.2972 (1.4037) Prec@1 70.312 (67.487) Prec@5 87.500 (86.325) Epoch: [67][9790/10010] Time 0.316 (0.327) Data 0.001 (0.001) Loss 1.3209 (1.4036) Prec@1 69.531 (67.489) Prec@5 89.844 (86.326) Epoch: [67][9800/10010] Time 0.334 (0.327) Data 0.001 (0.001) Loss 1.7082 (1.4036) Prec@1 60.938 (67.489) Prec@5 81.250 (86.325) Epoch: [67][9810/10010] Time 0.329 (0.327) Data 0.001 (0.001) Loss 1.2332 (1.4036) Prec@1 71.094 (67.489) Prec@5 89.062 (86.324) Epoch: [67][9820/10010] Time 0.330 (0.327) Data 0.001 (0.001) Loss 1.2652 (1.4036) Prec@1 71.875 (67.489) Prec@5 87.500 (86.324) Epoch: [67][9830/10010] Time 0.312 (0.327) Data 0.001 (0.001) Loss 1.5198 (1.4036) Prec@1 67.969 (67.489) Prec@5 85.156 (86.325) Epoch: [67][9840/10010] Time 0.317 (0.327) Data 0.000 (0.001) Loss 1.4332 (1.4036) Prec@1 62.500 (67.488) Prec@5 85.938 (86.323) Epoch: [67][9850/10010] Time 0.329 (0.327) Data 0.000 (0.001) Loss 1.8382 (1.4036) Prec@1 63.281 (67.488) Prec@5 81.250 (86.322) Epoch: [67][9860/10010] Time 0.339 (0.327) Data 0.001 (0.001) Loss 1.6817 (1.4036) Prec@1 63.281 (67.488) Prec@5 83.594 (86.322) Epoch: [67][9870/10010] Time 0.339 (0.327) Data 0.000 (0.001) Loss 1.1574 (1.4035) Prec@1 71.094 (67.491) Prec@5 87.500 (86.323) Epoch: [67][9880/10010] Time 0.311 (0.327) Data 0.001 (0.001) Loss 1.3450 (1.4035) Prec@1 69.531 (67.491) Prec@5 85.156 (86.323) Epoch: [67][9890/10010] Time 0.338 (0.327) Data 0.001 (0.001) Loss 1.4904 (1.4035) Prec@1 63.281 (67.490) Prec@5 85.938 (86.324) Epoch: [67][9900/10010] Time 0.319 (0.327) Data 0.001 (0.001) Loss 1.3114 (1.4034) Prec@1 68.750 (67.491) Prec@5 85.938 (86.326) Epoch: [67][9910/10010] Time 0.313 (0.327) Data 0.001 (0.001) Loss 1.3570 (1.4035) Prec@1 67.188 (67.489) Prec@5 86.719 (86.325) Epoch: [67][9920/10010] Time 0.316 (0.327) Data 0.001 (0.001) Loss 1.0199 (1.4034) Prec@1 75.000 (67.493) Prec@5 92.969 (86.326) Epoch: [67][9930/10010] Time 0.324 (0.327) Data 0.000 (0.001) Loss 1.2977 (1.4034) Prec@1 70.312 (67.493) Prec@5 86.719 (86.326) Epoch: [67][9940/10010] Time 0.337 (0.327) Data 0.001 (0.001) Loss 1.7246 (1.4034) Prec@1 67.188 (67.493) Prec@5 82.031 (86.326) Epoch: [67][9950/10010] Time 0.325 (0.327) Data 0.001 (0.001) Loss 1.5628 (1.4035) Prec@1 60.938 (67.491) Prec@5 83.594 (86.325) Epoch: [67][9960/10010] Time 0.337 (0.327) Data 0.001 (0.001) Loss 0.9715 (1.4035) Prec@1 78.125 (67.492) Prec@5 90.625 (86.325) Epoch: [67][9970/10010] Time 0.329 (0.327) Data 0.000 (0.001) Loss 1.5101 (1.4035) Prec@1 64.062 (67.492) Prec@5 85.156 (86.324) Epoch: [67][9980/10010] Time 0.327 (0.327) Data 0.001 (0.001) Loss 1.4176 (1.4035) Prec@1 67.188 (67.491) Prec@5 86.719 (86.323) Epoch: [67][9990/10010] Time 0.317 (0.327) Data 0.001 (0.001) Loss 1.4866 (1.4034) Prec@1 65.625 (67.494) Prec@5 87.500 (86.325) Epoch: [67][10000/10010] Time 0.329 (0.327) Data 0.000 (0.001) Loss 1.5274 (1.4035) Prec@1 66.406 (67.492) Prec@5 85.156 (86.324) Test: [0/391] Time 1.402 (1.402) Loss 0.7158 (0.7158) Prec@1 84.375 (84.375) Prec@5 95.312 (95.312) Test: [10/391] Time 0.106 (0.221) Loss 1.1719 (0.6467) Prec@1 71.875 (83.878) Prec@5 91.406 (95.312) Test: [20/391] Time 0.101 (0.170) Loss 0.7948 (0.9098) Prec@1 78.906 (77.046) Prec@5 93.750 (92.634) Test: [30/391] Time 0.101 (0.149) Loss 1.5502 (1.0346) Prec@1 68.750 (73.564) Prec@5 86.719 (91.809) Test: [40/391] Time 0.107 (0.138) Loss 1.0091 (0.9371) Prec@1 75.781 (76.200) Prec@5 90.625 (92.740) Test: [50/391] Time 0.111 (0.132) Loss 0.4932 (0.9593) Prec@1 86.719 (76.164) Prec@5 96.875 (92.417) Test: [60/391] Time 0.102 (0.127) Loss 0.9860 (0.9071) Prec@1 77.344 (77.587) Prec@5 91.406 (92.892) Test: [70/391] Time 0.110 (0.124) Loss 1.0646 (0.9316) Prec@1 68.750 (76.618) Prec@5 95.312 (92.980) Test: [80/391] Time 0.106 (0.122) Loss 0.9331 (0.9450) Prec@1 75.000 (75.801) Prec@5 94.531 (93.075) Test: [90/391] Time 0.104 (0.120) Loss 1.1079 (0.9473) Prec@1 58.594 (75.618) Prec@5 92.969 (93.098) Test: [100/391] Time 0.104 (0.118) Loss 0.7633 (0.9401) Prec@1 79.688 (75.549) Prec@5 96.094 (93.309) Test: [110/391] Time 0.114 (0.118) Loss 1.3325 (0.9443) Prec@1 49.219 (75.148) Prec@5 95.312 (93.447) Test: [120/391] Time 0.109 (0.117) Loss 0.7501 (0.9401) Prec@1 82.812 (75.381) Prec@5 97.656 (93.518) Test: [130/391] Time 0.105 (0.116) Loss 0.4891 (0.9336) Prec@1 91.406 (75.698) Prec@5 96.875 (93.553) Test: [140/391] Time 0.104 (0.115) Loss 1.2587 (0.9326) Prec@1 64.062 (75.670) Prec@5 89.844 (93.589) Test: [150/391] Time 0.109 (0.115) Loss 0.9129 (0.9375) Prec@1 69.531 (75.667) Prec@5 93.750 (93.434) Test: [160/391] Time 0.107 (0.115) Loss 0.9263 (0.9432) Prec@1 73.438 (75.524) Prec@5 92.188 (93.357) Test: [170/391] Time 0.097 (0.114) Loss 1.6539 (0.9739) Prec@1 56.250 (74.909) Prec@5 86.719 (92.987) Test: [180/391] Time 0.101 (0.114) Loss 1.9659 (1.0055) Prec@1 51.562 (74.288) Prec@5 85.938 (92.615) Test: [190/391] Time 0.111 (0.113) Loss 1.9203 (1.0391) Prec@1 53.906 (73.589) Prec@5 84.375 (92.179) Test: [200/391] Time 0.105 (0.113) Loss 1.1747 (1.0681) Prec@1 70.312 (73.068) Prec@5 91.406 (91.764) Test: [210/391] Time 0.108 (0.113) Loss 1.4748 (1.0857) Prec@1 68.750 (72.790) Prec@5 85.156 (91.547) Test: [220/391] Time 0.102 (0.112) Loss 0.6410 (1.0953) Prec@1 81.250 (72.635) Prec@5 96.094 (91.321) Test: [230/391] Time 0.104 (0.112) Loss 1.9287 (1.1088) Prec@1 54.688 (72.409) Prec@5 83.594 (91.173) Test: [240/391] Time 0.102 (0.112) Loss 1.3880 (1.1157) Prec@1 71.875 (72.364) Prec@5 83.594 (91.040) Test: [250/391] Time 0.108 (0.112) Loss 0.8669 (1.1402) Prec@1 76.562 (71.769) Prec@5 91.406 (90.721) Test: [260/391] Time 0.110 (0.112) Loss 1.4585 (1.1557) Prec@1 64.844 (71.456) Prec@5 85.156 (90.526) Test: [270/391] Time 0.107 (0.111) Loss 2.0599 (1.1674) Prec@1 50.781 (71.189) Prec@5 83.594 (90.380) Test: [280/391] Time 0.104 (0.111) Loss 1.2703 (1.1753) Prec@1 64.062 (71.052) Prec@5 90.625 (90.286) Test: [290/391] Time 0.101 (0.111) Loss 1.7159 (1.1866) Prec@1 43.750 (70.793) Prec@5 86.719 (90.093) Test: [300/391] Time 0.108 (0.111) Loss 1.2738 (1.1969) Prec@1 78.125 (70.590) Prec@5 86.719 (89.922) Test: [310/391] Time 0.103 (0.111) Loss 1.4676 (1.2053) Prec@1 66.406 (70.456) Prec@5 84.375 (89.766) Test: [320/391] Time 0.112 (0.111) Loss 0.8394 (1.2127) Prec@1 81.250 (70.332) Prec@5 92.188 (89.673) Test: [330/391] Time 0.120 (0.110) Loss 1.9220 (1.2310) Prec@1 58.594 (69.932) Prec@5 80.469 (89.433) Test: [340/391] Time 0.104 (0.111) Loss 1.1014 (1.2362) Prec@1 62.500 (69.767) Prec@5 94.531 (89.388) Test: [350/391] Time 0.107 (0.110) Loss 1.3331 (1.2396) Prec@1 69.531 (69.734) Prec@5 89.062 (89.327) Test: [360/391] Time 0.104 (0.110) Loss 1.4702 (1.2483) Prec@1 57.812 (69.572) Prec@5 89.844 (89.246) Test: [370/391] Time 0.108 (0.110) Loss 1.1509 (1.2433) Prec@1 67.188 (69.628) Prec@5 95.312 (89.315) Test: [380/391] Time 0.097 (0.110) Loss 1.0164 (1.2453) Prec@1 76.562 (69.591) Prec@5 93.750 (89.284) Test: [390/391] Time 0.073 (0.110) Loss 2.0692 (1.2391) Prec@1 38.750 (69.750) Prec@5 80.000 (89.358) * Prec@1 69.750 Prec@5 89.358 Epoch: [68][0/10010] Time 2.585 (2.585) Data 2.404 (2.404) Loss 1.6047 (1.6047) Prec@1 63.281 (63.281) Prec@5 81.250 (81.250) Epoch: [68][10/10010] Time 0.320 (0.522) Data 0.001 (0.233) Loss 1.1472 (1.4013) Prec@1 72.656 (66.690) Prec@5 89.844 (86.151) Epoch: [68][20/10010] Time 0.325 (0.424) Data 0.001 (0.123) Loss 1.3678 (1.3658) Prec@1 70.312 (67.708) Prec@5 87.500 (86.942) Epoch: [68][30/10010] Time 0.318 (0.389) Data 0.000 (0.083) Loss 1.3008 (1.3754) Prec@1 72.656 (67.339) Prec@5 90.625 (86.845) Epoch: [68][40/10010] Time 0.315 (0.371) Data 0.001 (0.063) Loss 1.1334 (1.3829) Prec@1 73.438 (67.283) Prec@5 88.281 (87.062) Epoch: [68][50/10010] Time 0.336 (0.363) Data 0.000 (0.051) Loss 1.6413 (1.3866) Prec@1 67.969 (67.509) Prec@5 80.469 (86.994) Epoch: [68][60/10010] Time 0.318 (0.358) Data 0.001 (0.043) Loss 1.1407 (1.3792) Prec@1 75.781 (67.777) Prec@5 92.188 (87.218) Epoch: [68][70/10010] Time 0.332 (0.353) Data 0.001 (0.037) Loss 1.1333 (1.3815) Prec@1 74.219 (67.793) Prec@5 86.719 (87.027) Epoch: [68][80/10010] Time 0.312 (0.350) Data 0.001 (0.032) Loss 1.4791 (1.3674) Prec@1 60.938 (68.027) Prec@5 87.500 (87.211) Epoch: [68][90/10010] Time 0.319 (0.346) Data 0.000 (0.029) Loss 1.0894 (1.3618) Prec@1 73.438 (68.080) Prec@5 91.406 (87.345) Epoch: [68][100/10010] Time 0.334 (0.344) Data 0.001 (0.026) Loss 1.9407 (1.3634) Prec@1 57.812 (67.992) Prec@5 77.344 (87.283) Epoch: [68][110/10010] Time 0.335 (0.342) Data 0.001 (0.024) Loss 1.3423 (1.3762) Prec@1 67.969 (67.736) Prec@5 85.156 (87.078) Epoch: [68][120/10010] Time 0.336 (0.341) Data 0.000 (0.022) Loss 1.4626 (1.3805) Prec@1 64.844 (67.678) Prec@5 84.375 (87.048) Epoch: [68][130/10010] Time 0.321 (0.340) Data 0.000 (0.020) Loss 1.1746 (1.3816) Prec@1 71.875 (67.641) Prec@5 89.844 (86.969) Epoch: [68][140/10010] Time 0.323 (0.338) Data 0.001 (0.019) Loss 1.2942 (1.3800) Prec@1 64.844 (67.780) Prec@5 89.844 (86.957) Epoch: [68][150/10010] Time 0.335 (0.338) Data 0.000 (0.018) Loss 1.2958 (1.3793) Prec@1 70.312 (67.782) Prec@5 85.938 (86.952) Epoch: [68][160/10010] Time 0.330 (0.338) Data 0.000 (0.017) Loss 1.6631 (1.3786) Prec@1 57.812 (67.760) Prec@5 83.594 (86.884) Epoch: [68][170/10010] Time 0.314 (0.337) Data 0.000 (0.016) Loss 1.3335 (1.3796) Prec@1 73.438 (67.832) Prec@5 85.156 (86.838) Epoch: [68][180/10010] Time 0.318 (0.336) Data 0.001 (0.015) Loss 1.3502 (1.3837) Prec@1 69.531 (67.718) Prec@5 89.844 (86.801) Epoch: [68][190/10010] Time 0.317 (0.336) Data 0.001 (0.014) Loss 1.2963 (1.3882) Prec@1 70.312 (67.703) Prec@5 90.625 (86.711) Epoch: [68][200/10010] Time 0.316 (0.335) Data 0.000 (0.013) Loss 1.6585 (1.3932) Prec@1 64.062 (67.568) Prec@5 85.156 (86.637) Epoch: [68][210/10010] Time 0.319 (0.335) Data 0.002 (0.013) Loss 1.3591 (1.3922) Prec@1 70.312 (67.650) Prec@5 85.156 (86.597) Epoch: [68][220/10010] Time 0.324 (0.334) Data 0.001 (0.012) Loss 1.5010 (1.3932) Prec@1 64.062 (67.587) Prec@5 86.719 (86.563) Epoch: [68][230/10010] Time 0.333 (0.334) Data 0.001 (0.012) Loss 1.4934 (1.3946) Prec@1 67.188 (67.560) Prec@5 85.938 (86.543) Epoch: [68][240/10010] Time 0.320 (0.333) Data 0.000 (0.011) Loss 1.4874 (1.3910) Prec@1 67.969 (67.648) Prec@5 86.719 (86.625) Epoch: [68][250/10010] Time 0.338 (0.333) Data 0.000 (0.011) Loss 1.3532 (1.3903) Prec@1 73.438 (67.720) Prec@5 89.844 (86.635) Epoch: [68][260/10010] Time 0.316 (0.333) Data 0.001 (0.010) Loss 1.4475 (1.3921) Prec@1 64.844 (67.711) Prec@5 87.500 (86.602) Epoch: [68][270/10010] Time 0.319 (0.333) Data 0.001 (0.010) Loss 1.3614 (1.3921) Prec@1 67.969 (67.764) Prec@5 89.844 (86.641) Epoch: [68][280/10010] Time 0.334 (0.333) Data 0.001 (0.010) Loss 1.2881 (1.3913) Prec@1 67.969 (67.757) Prec@5 86.719 (86.624) Epoch: [68][290/10010] Time 0.337 (0.333) Data 0.001 (0.009) Loss 1.5514 (1.3915) Prec@1 64.062 (67.770) Prec@5 82.812 (86.585) Epoch: [68][300/10010] Time 0.340 (0.332) Data 0.001 (0.009) Loss 1.5499 (1.3949) Prec@1 64.062 (67.717) Prec@5 85.156 (86.521) Epoch: [68][310/10010] Time 0.321 (0.332) Data 0.001 (0.009) Loss 1.4841 (1.3956) Prec@1 67.188 (67.702) Prec@5 85.938 (86.505) Epoch: [68][320/10010] Time 0.316 (0.332) Data 0.000 (0.009) Loss 1.6981 (1.3969) Prec@1 57.031 (67.611) Prec@5 82.031 (86.497) Epoch: [68][330/10010] Time 0.322 (0.332) Data 0.001 (0.008) Loss 1.2773 (1.3982) Prec@1 72.656 (67.603) Prec@5 87.500 (86.487) Epoch: [68][340/10010] Time 0.325 (0.331) Data 0.001 (0.008) Loss 1.2527 (1.3964) Prec@1 65.625 (67.600) Prec@5 89.062 (86.529) Epoch: [68][350/10010] Time 0.316 (0.331) Data 0.001 (0.008) Loss 1.3643 (1.3954) Prec@1 68.750 (67.604) Prec@5 85.938 (86.518) Epoch: [68][360/10010] Time 0.314 (0.331) Data 0.000 (0.008) Loss 1.4793 (1.3929) Prec@1 64.062 (67.668) Prec@5 85.938 (86.578) Epoch: [68][370/10010] Time 0.320 (0.331) Data 0.000 (0.008) Loss 1.2091 (1.3931) Prec@1 71.094 (67.640) Prec@5 89.062 (86.582) Epoch: [68][380/10010] Time 0.321 (0.331) Data 0.001 (0.007) Loss 1.5793 (1.3931) Prec@1 64.844 (67.632) Prec@5 83.594 (86.555) Epoch: [68][390/10010] Time 0.326 (0.331) Data 0.001 (0.007) Loss 1.4467 (1.3903) Prec@1 68.750 (67.671) Prec@5 83.594 (86.559) Epoch: [68][400/10010] Time 0.336 (0.331) Data 0.001 (0.007) Loss 1.2655 (1.3885) Prec@1 68.750 (67.686) Prec@5 87.500 (86.573) Epoch: [68][410/10010] Time 0.336 (0.331) Data 0.000 (0.007) Loss 1.5781 (1.3892) Prec@1 65.625 (67.703) Prec@5 85.156 (86.563) Epoch: [68][420/10010] Time 0.323 (0.330) Data 0.000 (0.007) Loss 1.6256 (1.3905) Prec@1 66.406 (67.685) Prec@5 82.031 (86.533) Epoch: [68][430/10010] Time 0.330 (0.330) Data 0.001 (0.007) Loss 1.4028 (1.3902) Prec@1 69.531 (67.717) Prec@5 85.938 (86.525) Epoch: [68][440/10010] Time 0.323 (0.330) Data 0.001 (0.006) Loss 1.2922 (1.3900) Prec@1 69.531 (67.723) Prec@5 88.281 (86.538) Epoch: [68][450/10010] Time 0.337 (0.330) Data 0.001 (0.006) Loss 1.5321 (1.3894) Prec@1 60.156 (67.712) Prec@5 86.719 (86.556) Epoch: [68][460/10010] Time 0.341 (0.330) Data 0.001 (0.006) Loss 1.2310 (1.3871) Prec@1 72.656 (67.772) Prec@5 89.844 (86.612) Epoch: [68][470/10010] Time 0.331 (0.330) Data 0.000 (0.006) Loss 1.4455 (1.3878) Prec@1 64.844 (67.776) Prec@5 89.844 (86.586) Epoch: [68][480/10010] Time 0.329 (0.330) Data 0.000 (0.006) Loss 1.6566 (1.3870) Prec@1 61.719 (67.779) Prec@5 82.812 (86.615) Epoch: [68][490/10010] Time 0.311 (0.330) Data 0.001 (0.006) Loss 1.4133 (1.3881) Prec@1 67.969 (67.775) Prec@5 88.281 (86.585) Epoch: [68][500/10010] Time 0.337 (0.330) Data 0.000 (0.006) Loss 1.2325 (1.3883) Prec@1 72.656 (67.761) Prec@5 87.500 (86.583) Epoch: [68][510/10010] Time 0.332 (0.330) Data 0.001 (0.006) Loss 1.5609 (1.3887) Prec@1 64.062 (67.741) Prec@5 84.375 (86.577) Epoch: [68][520/10010] Time 0.321 (0.330) Data 0.001 (0.006) Loss 1.6671 (1.3883) Prec@1 67.188 (67.762) Prec@5 83.594 (86.567) Epoch: [68][530/10010] Time 0.318 (0.330) Data 0.000 (0.005) Loss 1.2520 (1.3904) Prec@1 74.219 (67.719) Prec@5 86.719 (86.525) Epoch: [68][540/10010] Time 0.312 (0.329) Data 0.001 (0.005) Loss 1.1469 (1.3891) Prec@1 72.656 (67.733) Prec@5 89.844 (86.544) Epoch: [68][550/10010] Time 0.336 (0.329) Data 0.001 (0.005) Loss 1.3001 (1.3889) Prec@1 70.312 (67.726) Prec@5 88.281 (86.527) Epoch: [68][560/10010] Time 0.316 (0.329) Data 0.000 (0.005) Loss 1.1161 (1.3892) Prec@1 71.875 (67.724) Prec@5 91.406 (86.535) Epoch: [68][570/10010] Time 0.320 (0.329) Data 0.001 (0.005) Loss 1.6763 (1.3885) Prec@1 62.500 (67.754) Prec@5 85.938 (86.568) Epoch: [68][580/10010] Time 0.325 (0.329) Data 0.001 (0.005) Loss 1.4688 (1.3889) Prec@1 64.844 (67.717) Prec@5 85.156 (86.547) Epoch: [68][590/10010] Time 0.323 (0.329) Data 0.001 (0.005) Loss 1.2543 (1.3880) Prec@1 66.406 (67.724) Prec@5 92.188 (86.572) Epoch: [68][600/10010] Time 0.326 (0.329) Data 0.001 (0.005) Loss 1.0746 (1.3873) Prec@1 75.000 (67.746) Prec@5 92.969 (86.586) Epoch: [68][610/10010] Time 0.325 (0.329) Data 0.000 (0.005) Loss 1.8176 (1.3879) Prec@1 63.281 (67.763) Prec@5 80.469 (86.578) Epoch: [68][620/10010] Time 0.321 (0.329) Data 0.000 (0.005) Loss 1.2362 (1.3875) Prec@1 71.875 (67.785) Prec@5 89.844 (86.572) Epoch: [68][630/10010] Time 0.336 (0.329) Data 0.001 (0.005) Loss 1.2597 (1.3871) Prec@1 69.531 (67.794) Prec@5 89.062 (86.573) Epoch: [68][640/10010] Time 0.314 (0.329) Data 0.000 (0.005) Loss 1.4389 (1.3876) Prec@1 64.844 (67.801) Prec@5 83.594 (86.559) Epoch: [68][650/10010] Time 0.329 (0.328) Data 0.000 (0.005) Loss 1.7562 (1.3884) Prec@1 60.938 (67.784) Prec@5 81.250 (86.547) Epoch: [68][660/10010] Time 0.317 (0.328) Data 0.001 (0.005) Loss 1.4749 (1.3871) Prec@1 62.500 (67.803) Prec@5 85.156 (86.558) Epoch: [68][670/10010] Time 0.325 (0.328) Data 0.001 (0.004) Loss 1.4245 (1.3875) Prec@1 69.531 (67.798) Prec@5 85.938 (86.552) Epoch: [68][680/10010] Time 0.334 (0.328) Data 0.001 (0.004) Loss 1.3868 (1.3879) Prec@1 64.844 (67.765) Prec@5 86.719 (86.547) Epoch: [68][690/10010] Time 0.332 (0.328) Data 0.001 (0.004) Loss 1.3058 (1.3876) Prec@1 72.656 (67.778) Prec@5 87.500 (86.549) Epoch: [68][700/10010] Time 0.316 (0.328) Data 0.000 (0.004) Loss 1.0824 (1.3870) Prec@1 71.094 (67.800) Prec@5 89.844 (86.555) Epoch: [68][710/10010] Time 0.342 (0.328) Data 0.001 (0.004) Loss 1.2501 (1.3868) Prec@1 73.438 (67.802) Prec@5 89.062 (86.556) Epoch: [68][720/10010] Time 0.321 (0.328) Data 0.000 (0.004) Loss 1.6471 (1.3860) Prec@1 64.844 (67.813) Prec@5 85.156 (86.571) Epoch: [68][730/10010] Time 0.320 (0.328) Data 0.000 (0.004) Loss 1.4322 (1.3858) Prec@1 67.969 (67.802) Prec@5 85.156 (86.566) Epoch: [68][740/10010] Time 0.317 (0.328) Data 0.001 (0.004) Loss 1.4483 (1.3861) Prec@1 68.750 (67.806) Prec@5 88.281 (86.565) Epoch: [68][750/10010] Time 0.338 (0.328) Data 0.001 (0.004) Loss 1.3489 (1.3872) Prec@1 70.312 (67.814) Prec@5 85.938 (86.550) Epoch: [68][760/10010] Time 0.316 (0.328) Data 0.001 (0.004) Loss 1.5139 (1.3871) Prec@1 68.750 (67.816) Prec@5 85.156 (86.550) Epoch: [68][770/10010] Time 0.342 (0.328) Data 0.001 (0.004) Loss 1.5644 (1.3875) Prec@1 64.062 (67.789) Prec@5 79.688 (86.531) Epoch: [68][780/10010] Time 0.338 (0.328) Data 0.000 (0.004) Loss 1.0982 (1.3876) Prec@1 71.875 (67.778) Prec@5 91.406 (86.518) Epoch: [68][790/10010] Time 0.316 (0.328) Data 0.000 (0.004) Loss 1.2012 (1.3872) Prec@1 77.344 (67.776) Prec@5 89.844 (86.528) Epoch: [68][800/10010] Time 0.316 (0.327) Data 0.000 (0.004) Loss 1.3808 (1.3874) Prec@1 67.188 (67.763) Prec@5 85.938 (86.536) Epoch: [68][810/10010] Time 0.336 (0.327) Data 0.000 (0.004) Loss 1.4125 (1.3873) Prec@1 64.844 (67.769) Prec@5 85.156 (86.539) Epoch: [68][820/10010] Time 0.331 (0.327) Data 0.000 (0.004) Loss 1.1844 (1.3868) Prec@1 73.438 (67.783) Prec@5 89.062 (86.544) Epoch: [68][830/10010] Time 0.340 (0.327) Data 0.001 (0.004) Loss 1.4919 (1.3871) Prec@1 65.625 (67.783) Prec@5 84.375 (86.534) Epoch: [68][840/10010] Time 0.333 (0.328) Data 0.001 (0.004) Loss 1.1322 (1.3874) Prec@1 72.656 (67.779) Prec@5 92.969 (86.533) Epoch: [68][850/10010] Time 0.336 (0.328) Data 0.000 (0.004) Loss 1.3615 (1.3873) Prec@1 67.188 (67.758) Prec@5 86.719 (86.538) Epoch: [68][860/10010] Time 0.321 (0.328) Data 0.001 (0.004) Loss 1.3577 (1.3869) Prec@1 66.406 (67.755) Prec@5 85.156 (86.549) Epoch: [68][870/10010] Time 0.321 (0.328) Data 0.001 (0.004) Loss 1.2500 (1.3870) Prec@1 71.875 (67.757) Prec@5 88.281 (86.554) Epoch: [68][880/10010] Time 0.333 (0.328) Data 0.000 (0.004) Loss 1.5451 (1.3875) Prec@1 64.844 (67.759) Prec@5 86.719 (86.551) Epoch: [68][890/10010] Time 0.332 (0.328) Data 0.001 (0.004) Loss 1.8646 (1.3886) Prec@1 58.594 (67.743) Prec@5 82.812 (86.552) Epoch: [68][900/10010] Time 0.336 (0.328) Data 0.000 (0.003) Loss 1.1968 (1.3881) Prec@1 74.219 (67.769) Prec@5 89.062 (86.560) Epoch: [68][910/10010] Time 0.340 (0.328) Data 0.001 (0.003) Loss 1.4442 (1.3889) Prec@1 66.406 (67.747) Prec@5 85.938 (86.549) Epoch: [68][920/10010] Time 0.318 (0.328) Data 0.000 (0.003) Loss 1.2347 (1.3890) Prec@1 74.219 (67.758) Prec@5 87.500 (86.543) Epoch: [68][930/10010] Time 0.316 (0.328) Data 0.000 (0.003) Loss 1.1891 (1.3881) Prec@1 69.531 (67.778) Prec@5 91.406 (86.558) Epoch: [68][940/10010] Time 0.341 (0.328) Data 0.003 (0.003) Loss 1.6082 (1.3891) Prec@1 60.938 (67.772) Prec@5 84.375 (86.538) Epoch: [68][950/10010] Time 0.321 (0.328) Data 0.000 (0.003) Loss 1.1313 (1.3889) Prec@1 78.125 (67.780) Prec@5 92.188 (86.540) Epoch: [68][960/10010] Time 0.326 (0.328) Data 0.000 (0.003) Loss 1.3722 (1.3896) Prec@1 66.406 (67.755) Prec@5 86.719 (86.531) Epoch: [68][970/10010] Time 0.315 (0.328) Data 0.001 (0.003) Loss 1.3649 (1.3893) Prec@1 71.875 (67.769) Prec@5 86.719 (86.535) Epoch: [68][980/10010] Time 0.320 (0.328) Data 0.000 (0.003) Loss 1.2350 (1.3894) Prec@1 71.094 (67.774) Prec@5 90.625 (86.536) Epoch: [68][990/10010] Time 0.316 (0.328) Data 0.001 (0.003) Loss 1.6671 (1.3890) Prec@1 64.062 (67.790) Prec@5 82.031 (86.536) Epoch: [68][1000/10010] Time 0.336 (0.328) Data 0.001 (0.003) Loss 1.3695 (1.3884) Prec@1 71.875 (67.806) Prec@5 84.375 (86.536) Epoch: [68][1010/10010] Time 0.332 (0.328) Data 0.001 (0.003) Loss 1.6385 (1.3892) Prec@1 64.062 (67.803) Prec@5 81.250 (86.515) Epoch: [68][1020/10010] Time 0.324 (0.328) Data 0.000 (0.003) Loss 1.3081 (1.3894) Prec@1 74.219 (67.803) Prec@5 88.281 (86.514) Epoch: [68][1030/10010] Time 0.334 (0.328) Data 0.001 (0.003) Loss 1.3243 (1.3892) Prec@1 70.312 (67.809) Prec@5 86.719 (86.512) Epoch: [68][1040/10010] Time 0.341 (0.328) Data 0.001 (0.003) Loss 1.3708 (1.3892) Prec@1 66.406 (67.795) Prec@5 86.719 (86.504) Epoch: [68][1050/10010] Time 0.342 (0.328) Data 0.000 (0.003) Loss 1.1159 (1.3894) Prec@1 72.656 (67.799) Prec@5 89.062 (86.502) Epoch: [68][1060/10010] Time 0.328 (0.328) Data 0.001 (0.003) Loss 1.4133 (1.3897) Prec@1 70.312 (67.794) Prec@5 85.938 (86.502) Epoch: [68][1070/10010] Time 0.321 (0.328) Data 0.001 (0.003) Loss 1.5550 (1.3897) Prec@1 58.594 (67.790) Prec@5 86.719 (86.510) Epoch: [68][1080/10010] Time 0.315 (0.328) Data 0.001 (0.003) Loss 1.8454 (1.3895) Prec@1 60.156 (67.798) Prec@5 81.250 (86.511) Epoch: [68][1090/10010] Time 0.334 (0.328) Data 0.000 (0.003) Loss 1.2300 (1.3896) Prec@1 64.062 (67.787) Prec@5 89.844 (86.511) Epoch: [68][1100/10010] Time 0.333 (0.328) Data 0.000 (0.003) Loss 1.2498 (1.3897) Prec@1 70.312 (67.789) Prec@5 89.062 (86.510) Epoch: [68][1110/10010] Time 0.325 (0.328) Data 0.001 (0.003) Loss 1.4761 (1.3900) Prec@1 66.406 (67.776) Prec@5 85.156 (86.504) Epoch: [68][1120/10010] Time 0.316 (0.328) Data 0.000 (0.003) Loss 1.3440 (1.3898) Prec@1 71.094 (67.772) Prec@5 85.156 (86.516) Epoch: [68][1130/10010] Time 0.334 (0.328) Data 0.001 (0.003) Loss 1.5418 (1.3907) Prec@1 64.062 (67.771) Prec@5 82.031 (86.494) Epoch: [68][1140/10010] Time 0.322 (0.328) Data 0.000 (0.003) Loss 1.3886 (1.3905) Prec@1 68.750 (67.791) Prec@5 88.281 (86.491) Epoch: [68][1150/10010] Time 0.322 (0.328) Data 0.000 (0.003) Loss 1.3388 (1.3894) Prec@1 67.188 (67.815) Prec@5 86.719 (86.514) Epoch: [68][1160/10010] Time 0.334 (0.328) Data 0.001 (0.003) Loss 1.5886 (1.3898) Prec@1 67.188 (67.807) Prec@5 80.469 (86.512) Epoch: [68][1170/10010] Time 0.324 (0.328) Data 0.000 (0.003) Loss 1.5587 (1.3898) Prec@1 67.188 (67.804) Prec@5 80.469 (86.507) Epoch: [68][1180/10010] Time 0.320 (0.328) Data 0.000 (0.003) Loss 1.1505 (1.3899) Prec@1 75.000 (67.809) Prec@5 89.062 (86.497) Epoch: [68][1190/10010] Time 0.318 (0.328) Data 0.001 (0.003) Loss 1.3583 (1.3897) Prec@1 66.406 (67.816) Prec@5 84.375 (86.496) Epoch: [68][1200/10010] Time 0.330 (0.328) Data 0.000 (0.003) Loss 1.4568 (1.3901) Prec@1 63.281 (67.796) Prec@5 87.500 (86.492) Epoch: [68][1210/10010] Time 0.342 (0.328) Data 0.001 (0.003) Loss 1.4402 (1.3901) Prec@1 66.406 (67.785) Prec@5 84.375 (86.497) Epoch: [68][1220/10010] Time 0.315 (0.328) Data 0.001 (0.003) Loss 1.7179 (1.3899) Prec@1 64.844 (67.788) Prec@5 81.250 (86.501) Epoch: [68][1230/10010] Time 0.325 (0.328) Data 0.001 (0.003) Loss 1.3629 (1.3901) Prec@1 67.969 (67.783) Prec@5 85.938 (86.498) Epoch: [68][1240/10010] Time 0.332 (0.328) Data 0.001 (0.003) Loss 1.4739 (1.3905) Prec@1 67.188 (67.776) Prec@5 85.938 (86.496) Epoch: [68][1250/10010] Time 0.338 (0.328) Data 0.000 (0.003) Loss 1.3122 (1.3908) Prec@1 69.531 (67.780) Prec@5 87.500 (86.491) Epoch: [68][1260/10010] Time 0.326 (0.328) Data 0.000 (0.003) Loss 1.0190 (1.3905) Prec@1 71.875 (67.775) Prec@5 88.281 (86.491) Epoch: [68][1270/10010] Time 0.333 (0.328) Data 0.000 (0.003) Loss 1.4317 (1.3905) Prec@1 67.969 (67.775) Prec@5 83.594 (86.484) Epoch: [68][1280/10010] Time 0.338 (0.328) Data 0.000 (0.003) Loss 1.1876 (1.3901) Prec@1 70.312 (67.792) Prec@5 89.062 (86.489) Epoch: [68][1290/10010] Time 0.326 (0.328) Data 0.001 (0.003) Loss 1.5230 (1.3908) Prec@1 62.500 (67.783) Prec@5 85.938 (86.483) Epoch: [68][1300/10010] Time 0.320 (0.328) Data 0.000 (0.003) Loss 1.3792 (1.3908) Prec@1 66.406 (67.785) Prec@5 85.938 (86.488) Epoch: [68][1310/10010] Time 0.320 (0.328) Data 0.001 (0.003) Loss 1.7092 (1.3913) Prec@1 64.844 (67.770) Prec@5 82.812 (86.477) Epoch: [68][1320/10010] Time 0.315 (0.328) Data 0.000 (0.003) Loss 1.2809 (1.3914) Prec@1 73.438 (67.779) Prec@5 86.719 (86.474) Epoch: [68][1330/10010] Time 0.327 (0.328) Data 0.001 (0.003) Loss 1.3568 (1.3913) Prec@1 67.188 (67.776) Prec@5 85.938 (86.475) Epoch: [68][1340/10010] Time 0.321 (0.328) Data 0.000 (0.003) Loss 1.5147 (1.3918) Prec@1 70.312 (67.765) Prec@5 85.938 (86.469) Epoch: [68][1350/10010] Time 0.340 (0.328) Data 0.001 (0.003) Loss 1.3327 (1.3916) Prec@1 71.875 (67.774) Prec@5 86.719 (86.474) Epoch: [68][1360/10010] Time 0.317 (0.328) Data 0.001 (0.003) Loss 1.2470 (1.3917) Prec@1 69.531 (67.771) Prec@5 88.281 (86.472) Epoch: [68][1370/10010] Time 0.339 (0.328) Data 0.000 (0.002) Loss 1.8897 (1.3921) Prec@1 59.375 (67.770) Prec@5 78.125 (86.458) Epoch: [68][1380/10010] Time 0.322 (0.327) Data 0.000 (0.002) Loss 1.4401 (1.3924) Prec@1 67.969 (67.757) Prec@5 82.812 (86.452) Epoch: [68][1390/10010] Time 0.341 (0.328) Data 0.001 (0.002) Loss 1.2733 (1.3918) Prec@1 67.969 (67.768) Prec@5 89.844 (86.464) Epoch: [68][1400/10010] Time 0.322 (0.328) Data 0.001 (0.002) Loss 1.4128 (1.3918) Prec@1 68.750 (67.765) Prec@5 86.719 (86.465) Epoch: [68][1410/10010] Time 0.314 (0.328) Data 0.001 (0.002) Loss 1.4588 (1.3928) Prec@1 67.188 (67.759) Prec@5 85.938 (86.441) Epoch: [68][1420/10010] Time 0.336 (0.327) Data 0.000 (0.002) Loss 1.4602 (1.3930) Prec@1 67.188 (67.753) Prec@5 88.281 (86.448) Epoch: [68][1430/10010] Time 0.320 (0.327) Data 0.000 (0.002) Loss 1.6335 (1.3927) Prec@1 63.281 (67.758) Prec@5 83.594 (86.458) Epoch: [68][1440/10010] Time 0.327 (0.327) Data 0.000 (0.002) Loss 1.3027 (1.3926) Prec@1 66.406 (67.754) Prec@5 89.844 (86.461) Epoch: [68][1450/10010] Time 0.319 (0.327) Data 0.001 (0.002) Loss 1.5887 (1.3925) Prec@1 67.188 (67.757) Prec@5 80.469 (86.458) Epoch: [68][1460/10010] Time 0.324 (0.327) Data 0.000 (0.002) Loss 1.4116 (1.3932) Prec@1 64.062 (67.740) Prec@5 86.719 (86.452) Epoch: [68][1470/10010] Time 0.312 (0.327) Data 0.001 (0.002) Loss 1.4374 (1.3927) Prec@1 66.406 (67.749) Prec@5 84.375 (86.458) Epoch: [68][1480/10010] Time 0.317 (0.327) Data 0.001 (0.002) Loss 1.4850 (1.3922) Prec@1 67.188 (67.755) Prec@5 83.594 (86.465) Epoch: [68][1490/10010] Time 0.328 (0.327) Data 0.001 (0.002) Loss 1.1708 (1.3920) Prec@1 71.094 (67.759) Prec@5 91.406 (86.469) Epoch: [68][1500/10010] Time 0.343 (0.327) Data 0.000 (0.002) Loss 1.4010 (1.3919) Prec@1 64.844 (67.759) Prec@5 87.500 (86.465) Epoch: [68][1510/10010] Time 0.318 (0.327) Data 0.001 (0.002) Loss 1.5295 (1.3920) Prec@1 67.969 (67.760) Prec@5 82.031 (86.463) Epoch: [68][1520/10010] Time 0.324 (0.327) Data 0.000 (0.002) Loss 1.2289 (1.3923) Prec@1 72.656 (67.758) Prec@5 89.844 (86.451) Epoch: [68][1530/10010] Time 0.319 (0.327) Data 0.000 (0.002) Loss 1.4509 (1.3922) Prec@1 67.188 (67.763) Prec@5 85.156 (86.453) Epoch: [68][1540/10010] Time 0.325 (0.327) Data 0.000 (0.002) Loss 1.6280 (1.3917) Prec@1 59.375 (67.768) Prec@5 84.375 (86.456) Epoch: [68][1550/10010] Time 0.330 (0.327) Data 0.001 (0.002) Loss 1.2374 (1.3910) Prec@1 70.312 (67.779) Prec@5 85.938 (86.468) Epoch: [68][1560/10010] Time 0.316 (0.327) Data 0.001 (0.002) Loss 1.3052 (1.3910) Prec@1 65.625 (67.780) Prec@5 85.938 (86.467) Epoch: [68][1570/10010] Time 0.321 (0.327) Data 0.000 (0.002) Loss 1.3452 (1.3913) Prec@1 71.094 (67.773) Prec@5 86.719 (86.466) Epoch: [68][1580/10010] Time 0.324 (0.327) Data 0.001 (0.002) Loss 1.3459 (1.3909) Prec@1 67.969 (67.773) Prec@5 85.156 (86.470) Epoch: [68][1590/10010] Time 0.312 (0.327) Data 0.001 (0.002) Loss 1.3948 (1.3912) Prec@1 71.875 (67.771) Prec@5 89.062 (86.466) Epoch: [68][1600/10010] Time 0.333 (0.327) Data 0.001 (0.002) Loss 1.3536 (1.3913) Prec@1 67.188 (67.773) Prec@5 84.375 (86.466) Epoch: [68][1610/10010] Time 0.334 (0.327) Data 0.001 (0.002) Loss 1.2933 (1.3916) Prec@1 68.750 (67.764) Prec@5 86.719 (86.471) Epoch: [68][1620/10010] Time 0.335 (0.327) Data 0.001 (0.002) Loss 1.4102 (1.3918) Prec@1 67.188 (67.760) Prec@5 86.719 (86.469) Epoch: [68][1630/10010] Time 0.338 (0.327) Data 0.001 (0.002) Loss 1.2718 (1.3916) Prec@1 68.750 (67.769) Prec@5 88.281 (86.470) Epoch: [68][1640/10010] Time 0.333 (0.327) Data 0.001 (0.002) Loss 1.4107 (1.3915) Prec@1 66.406 (67.771) Prec@5 86.719 (86.471) Epoch: [68][1650/10010] Time 0.325 (0.327) Data 0.000 (0.002) Loss 1.4159 (1.3913) Prec@1 60.938 (67.765) Prec@5 83.594 (86.463) Epoch: [68][1660/10010] Time 0.339 (0.327) Data 0.000 (0.002) Loss 1.4793 (1.3917) Prec@1 67.969 (67.761) Prec@5 85.938 (86.458) Epoch: [68][1670/10010] Time 0.329 (0.327) Data 0.001 (0.002) Loss 1.1848 (1.3921) Prec@1 67.969 (67.753) Prec@5 89.844 (86.450) Epoch: [68][1680/10010] Time 0.329 (0.327) Data 0.001 (0.002) Loss 1.5182 (1.3924) Prec@1 60.156 (67.752) Prec@5 86.719 (86.449) Epoch: [68][1690/10010] Time 0.339 (0.327) Data 0.000 (0.002) Loss 1.5373 (1.3922) Prec@1 62.500 (67.761) Prec@5 85.938 (86.448) Epoch: [68][1700/10010] Time 0.317 (0.327) Data 0.001 (0.002) Loss 1.2596 (1.3926) Prec@1 71.875 (67.752) Prec@5 87.500 (86.440) Epoch: [68][1710/10010] Time 0.337 (0.327) Data 0.001 (0.002) Loss 1.6014 (1.3928) Prec@1 63.281 (67.744) Prec@5 82.031 (86.437) Epoch: [68][1720/10010] Time 0.315 (0.327) Data 0.001 (0.002) Loss 1.3818 (1.3927) Prec@1 65.625 (67.741) Prec@5 85.938 (86.433) Epoch: [68][1730/10010] Time 0.315 (0.327) Data 0.001 (0.002) Loss 1.3696 (1.3927) Prec@1 69.531 (67.745) Prec@5 85.156 (86.434) Epoch: [68][1740/10010] Time 0.320 (0.327) Data 0.001 (0.002) Loss 1.0932 (1.3923) Prec@1 75.781 (67.753) Prec@5 86.719 (86.435) Epoch: [68][1750/10010] Time 0.338 (0.327) Data 0.000 (0.002) Loss 1.3879 (1.3921) Prec@1 64.844 (67.755) Prec@5 86.719 (86.436) Epoch: [68][1760/10010] Time 0.337 (0.327) Data 0.000 (0.002) Loss 1.1853 (1.3920) Prec@1 67.969 (67.753) Prec@5 90.625 (86.441) Epoch: [68][1770/10010] Time 0.329 (0.327) Data 0.000 (0.002) Loss 1.4457 (1.3918) Prec@1 60.938 (67.750) Prec@5 87.500 (86.443) Epoch: [68][1780/10010] Time 0.341 (0.327) Data 0.000 (0.002) Loss 0.9574 (1.3913) Prec@1 73.438 (67.753) Prec@5 94.531 (86.453) Epoch: [68][1790/10010] Time 0.324 (0.327) Data 0.000 (0.002) Loss 1.4907 (1.3916) Prec@1 64.844 (67.746) Prec@5 85.156 (86.455) Epoch: [68][1800/10010] Time 0.337 (0.327) Data 0.000 (0.002) Loss 1.1783 (1.3916) Prec@1 71.875 (67.747) Prec@5 89.062 (86.458) Epoch: [68][1810/10010] Time 0.322 (0.327) Data 0.000 (0.002) Loss 1.1433 (1.3912) Prec@1 73.438 (67.751) Prec@5 90.625 (86.461) Epoch: [68][1820/10010] Time 0.325 (0.327) Data 0.001 (0.002) Loss 1.2152 (1.3907) Prec@1 72.656 (67.769) Prec@5 87.500 (86.466) Epoch: [68][1830/10010] Time 0.331 (0.327) Data 0.001 (0.002) Loss 1.2969 (1.3905) Prec@1 69.531 (67.772) Prec@5 87.500 (86.467) Epoch: [68][1840/10010] Time 0.313 (0.327) Data 0.001 (0.002) Loss 1.2834 (1.3908) Prec@1 70.312 (67.767) Prec@5 92.188 (86.466) Epoch: [68][1850/10010] Time 0.319 (0.327) Data 0.001 (0.002) Loss 1.5919 (1.3905) Prec@1 58.594 (67.778) Prec@5 83.594 (86.466) Epoch: [68][1860/10010] Time 0.344 (0.327) Data 0.000 (0.002) Loss 1.3696 (1.3904) Prec@1 68.750 (67.777) Prec@5 85.938 (86.474) Epoch: [68][1870/10010] Time 0.312 (0.327) Data 0.001 (0.002) Loss 1.6837 (1.3907) Prec@1 63.281 (67.767) Prec@5 82.031 (86.473) Epoch: [68][1880/10010] Time 0.320 (0.327) Data 0.000 (0.002) Loss 1.3899 (1.3907) Prec@1 67.188 (67.765) Prec@5 86.719 (86.475) Epoch: [68][1890/10010] Time 0.318 (0.327) Data 0.001 (0.002) Loss 1.3087 (1.3907) Prec@1 72.656 (67.769) Prec@5 84.375 (86.473) Epoch: [68][1900/10010] Time 0.329 (0.327) Data 0.001 (0.002) Loss 1.6029 (1.3911) Prec@1 62.500 (67.762) Prec@5 84.375 (86.471) Epoch: [68][1910/10010] Time 0.333 (0.327) Data 0.001 (0.002) Loss 1.1970 (1.3910) Prec@1 69.531 (67.765) Prec@5 89.062 (86.475) /data/vision/torralba/deepscene/lib/anaconda2/lib/python2.7/site-packages/PIL/TiffImagePlugin.py:692: UserWarning: Possibly corrupt EXIF data. Expecting to read 2555904 bytes but only got 0. Skipping tag 0 "Skipping tag %s" % (size, len(data), tag)) Epoch: [68][1920/10010] Time 0.320 (0.327) Data 0.001 (0.002) Loss 1.3718 (1.3910) Prec@1 68.750 (67.769) Prec@5 88.281 (86.474) Epoch: [68][1930/10010] Time 0.325 (0.327) Data 0.001 (0.002) Loss 1.3711 (1.3911) Prec@1 66.406 (67.768) Prec@5 86.719 (86.473) Epoch: [68][1940/10010] Time 0.337 (0.327) Data 0.000 (0.002) Loss 1.0434 (1.3907) Prec@1 73.438 (67.775) Prec@5 90.625 (86.476) Epoch: [68][1950/10010] Time 0.338 (0.327) Data 0.000 (0.002) Loss 1.2910 (1.3904) Prec@1 67.969 (67.787) Prec@5 87.500 (86.474) Epoch: [68][1960/10010] Time 0.332 (0.327) Data 0.001 (0.002) Loss 1.4143 (1.3903) Prec@1 69.531 (67.790) Prec@5 86.719 (86.481) Epoch: [68][1970/10010] Time 0.314 (0.327) Data 0.001 (0.002) Loss 1.4425 (1.3903) Prec@1 68.750 (67.794) Prec@5 84.375 (86.479) Epoch: [68][1980/10010] Time 0.343 (0.327) Data 0.000 (0.002) Loss 1.4764 (1.3908) Prec@1 74.219 (67.791) Prec@5 84.375 (86.471) Epoch: [68][1990/10010] Time 0.336 (0.327) Data 0.001 (0.002) Loss 1.3854 (1.3906) Prec@1 67.969 (67.792) Prec@5 87.500 (86.477) Epoch: [68][2000/10010] Time 0.327 (0.327) Data 0.001 (0.002) Loss 1.5147 (1.3900) Prec@1 70.312 (67.810) Prec@5 84.375 (86.490) Epoch: [68][2010/10010] Time 0.338 (0.327) Data 0.001 (0.002) Loss 1.5369 (1.3897) Prec@1 64.844 (67.817) Prec@5 82.812 (86.491) Epoch: [68][2020/10010] Time 0.313 (0.327) Data 0.000 (0.002) Loss 1.5251 (1.3897) Prec@1 65.625 (67.816) Prec@5 81.250 (86.491) Epoch: [68][2030/10010] Time 0.338 (0.327) Data 0.000 (0.002) Loss 1.3945 (1.3899) Prec@1 65.625 (67.811) Prec@5 85.156 (86.485) Epoch: [68][2040/10010] Time 0.327 (0.327) Data 0.001 (0.002) Loss 1.3469 (1.3897) Prec@1 69.531 (67.816) Prec@5 86.719 (86.493) Epoch: [68][2050/10010] Time 0.322 (0.327) Data 0.000 (0.002) Loss 1.1621 (1.3896) Prec@1 74.219 (67.821) Prec@5 88.281 (86.497) Epoch: [68][2060/10010] Time 0.340 (0.327) Data 0.001 (0.002) Loss 1.0988 (1.3901) Prec@1 72.656 (67.805) Prec@5 89.844 (86.491) Epoch: [68][2070/10010] Time 0.322 (0.327) Data 0.000 (0.002) Loss 1.5490 (1.3900) Prec@1 63.281 (67.805) Prec@5 84.375 (86.492) Epoch: [68][2080/10010] Time 0.331 (0.327) Data 0.000 (0.002) Loss 1.5895 (1.3904) Prec@1 66.406 (67.801) Prec@5 87.500 (86.489) Epoch: [68][2090/10010] Time 0.340 (0.327) Data 0.001 (0.002) Loss 1.3732 (1.3905) Prec@1 66.406 (67.796) Prec@5 88.281 (86.489) Epoch: [68][2100/10010] Time 0.316 (0.327) Data 0.001 (0.002) Loss 1.6249 (1.3906) Prec@1 65.625 (67.794) Prec@5 79.688 (86.491) Epoch: [68][2110/10010] Time 0.314 (0.327) Data 0.001 (0.002) Loss 1.3720 (1.3908) Prec@1 67.969 (67.784) Prec@5 84.375 (86.488) Epoch: [68][2120/10010] Time 0.335 (0.327) Data 0.000 (0.002) Loss 1.6661 (1.3906) Prec@1 62.500 (67.790) Prec@5 82.812 (86.486) Epoch: [68][2130/10010] Time 0.313 (0.327) Data 0.000 (0.002) Loss 1.2923 (1.3904) Prec@1 64.844 (67.790) Prec@5 86.719 (86.489) Epoch: [68][2140/10010] Time 0.323 (0.327) Data 0.001 (0.002) Loss 1.4872 (1.3907) Prec@1 68.750 (67.789) Prec@5 85.938 (86.483) Epoch: [68][2150/10010] Time 0.336 (0.327) Data 0.001 (0.002) Loss 1.6678 (1.3909) Prec@1 64.844 (67.782) Prec@5 81.250 (86.476) Epoch: [68][2160/10010] Time 0.331 (0.327) Data 0.001 (0.002) Loss 1.6855 (1.3909) Prec@1 62.500 (67.783) Prec@5 82.031 (86.475) Epoch: [68][2170/10010] Time 0.315 (0.327) Data 0.001 (0.002) Loss 1.3930 (1.3903) Prec@1 64.062 (67.786) Prec@5 85.156 (86.483) Epoch: [68][2180/10010] Time 0.328 (0.327) Data 0.000 (0.002) Loss 1.5648 (1.3904) Prec@1 68.750 (67.780) Prec@5 82.031 (86.476) Epoch: [68][2190/10010] Time 0.320 (0.327) Data 0.001 (0.002) Loss 1.5122 (1.3906) Prec@1 70.312 (67.777) Prec@5 86.719 (86.477) Epoch: [68][2200/10010] Time 0.320 (0.327) Data 0.001 (0.002) Loss 1.6282 (1.3912) Prec@1 60.938 (67.769) Prec@5 83.594 (86.465) Epoch: [68][2210/10010] Time 0.332 (0.327) Data 0.000 (0.002) Loss 1.3405 (1.3913) Prec@1 71.875 (67.767) Prec@5 86.719 (86.460) Epoch: [68][2220/10010] Time 0.326 (0.327) Data 0.000 (0.002) Loss 1.7866 (1.3914) Prec@1 64.062 (67.768) Prec@5 82.031 (86.458) Epoch: [68][2230/10010] Time 0.336 (0.327) Data 0.001 (0.002) Loss 1.4110 (1.3912) Prec@1 65.625 (67.768) Prec@5 89.062 (86.462) Epoch: [68][2240/10010] Time 0.342 (0.327) Data 0.000 (0.002) Loss 1.3452 (1.3914) Prec@1 66.406 (67.761) Prec@5 88.281 (86.459) Epoch: [68][2250/10010] Time 0.339 (0.327) Data 0.000 (0.002) Loss 1.6393 (1.3917) Prec@1 60.156 (67.757) Prec@5 82.812 (86.455) Epoch: [68][2260/10010] Time 0.334 (0.327) Data 0.000 (0.002) Loss 1.7006 (1.3915) Prec@1 60.938 (67.760) Prec@5 82.812 (86.457) Epoch: [68][2270/10010] Time 0.317 (0.327) Data 0.001 (0.002) Loss 1.2728 (1.3910) Prec@1 67.969 (67.772) Prec@5 89.062 (86.464) Epoch: [68][2280/10010] Time 0.315 (0.327) Data 0.001 (0.002) Loss 1.4842 (1.3905) Prec@1 63.281 (67.785) Prec@5 86.719 (86.472) Epoch: [68][2290/10010] Time 0.323 (0.327) Data 0.001 (0.002) Loss 1.2634 (1.3904) Prec@1 70.312 (67.786) Prec@5 90.625 (86.476) Epoch: [68][2300/10010] Time 0.315 (0.327) Data 0.000 (0.002) Loss 1.6662 (1.3910) Prec@1 64.844 (67.777) Prec@5 82.812 (86.466) Epoch: [68][2310/10010] Time 0.327 (0.327) Data 0.001 (0.002) Loss 1.4085 (1.3908) Prec@1 67.969 (67.779) Prec@5 83.594 (86.469) Epoch: [68][2320/10010] Time 0.335 (0.327) Data 0.001 (0.002) Loss 1.5400 (1.3908) Prec@1 67.188 (67.781) Prec@5 82.031 (86.469) Epoch: [68][2330/10010] Time 0.320 (0.327) Data 0.001 (0.002) Loss 1.2562 (1.3910) Prec@1 70.312 (67.777) Prec@5 89.062 (86.466) Epoch: [68][2340/10010] Time 0.332 (0.327) Data 0.000 (0.002) Loss 1.3793 (1.3906) Prec@1 64.062 (67.780) Prec@5 85.938 (86.472) /data/vision/torralba/deepscene/lib/anaconda2/lib/python2.7/site-packages/PIL/TiffImagePlugin.py:692: UserWarning: Possibly corrupt EXIF data. Expecting to read 2555904 bytes but only got 0. Skipping tag 0 "Skipping tag %s" % (size, len(data), tag)) Epoch: [68][2350/10010] Time 0.315 (0.327) Data 0.001 (0.002) Loss 1.3974 (1.3908) Prec@1 65.625 (67.770) Prec@5 89.062 (86.473) Epoch: [68][2360/10010] Time 0.317 (0.327) Data 0.000 (0.002) Loss 1.5578 (1.3906) Prec@1 66.406 (67.775) Prec@5 82.031 (86.477) Epoch: [68][2370/10010] Time 0.328 (0.327) Data 0.001 (0.002) Loss 1.2906 (1.3906) Prec@1 67.969 (67.776) Prec@5 89.062 (86.476) Epoch: [68][2380/10010] Time 0.313 (0.327) Data 0.000 (0.002) Loss 1.5125 (1.3911) Prec@1 62.500 (67.764) Prec@5 82.812 (86.468) Epoch: [68][2390/10010] Time 0.325 (0.327) Data 0.001 (0.002) Loss 1.3974 (1.3914) Prec@1 67.969 (67.762) Prec@5 85.938 (86.463) Epoch: [68][2400/10010] Time 0.341 (0.327) Data 0.001 (0.002) Loss 1.5957 (1.3914) Prec@1 65.625 (67.764) Prec@5 85.156 (86.463) Epoch: [68][2410/10010] Time 0.319 (0.327) Data 0.000 (0.002) Loss 1.3090 (1.3913) Prec@1 67.188 (67.770) Prec@5 85.938 (86.460) Epoch: [68][2420/10010] Time 0.320 (0.327) Data 0.001 (0.002) Loss 1.1907 (1.3911) Prec@1 69.531 (67.776) Prec@5 89.844 (86.462) Epoch: [68][2430/10010] Time 0.342 (0.327) Data 0.001 (0.002) Loss 1.3355 (1.3914) Prec@1 68.750 (67.769) Prec@5 88.281 (86.455) Epoch: [68][2440/10010] Time 0.334 (0.327) Data 0.001 (0.002) Loss 1.6809 (1.3917) Prec@1 59.375 (67.767) Prec@5 80.469 (86.449) Epoch: [68][2450/10010] Time 0.334 (0.327) Data 0.001 (0.002) Loss 1.4765 (1.3917) Prec@1 67.188 (67.772) Prec@5 86.719 (86.446) Epoch: [68][2460/10010] Time 0.315 (0.327) Data 0.000 (0.002) Loss 1.4000 (1.3919) Prec@1 67.188 (67.767) Prec@5 88.281 (86.446) Epoch: [68][2470/10010] Time 0.337 (0.327) Data 0.001 (0.002) Loss 1.6519 (1.3922) Prec@1 64.844 (67.764) Prec@5 84.375 (86.444) Epoch: [68][2480/10010] Time 0.317 (0.327) Data 0.001 (0.002) Loss 1.6398 (1.3921) Prec@1 64.844 (67.761) Prec@5 82.031 (86.446) Epoch: [68][2490/10010] Time 0.341 (0.327) Data 0.001 (0.002) Loss 1.4525 (1.3922) Prec@1 60.156 (67.758) Prec@5 90.625 (86.446) Epoch: [68][2500/10010] Time 0.337 (0.327) Data 0.001 (0.002) Loss 1.4148 (1.3922) Prec@1 72.656 (67.765) Prec@5 87.500 (86.441) Epoch: [68][2510/10010] Time 0.319 (0.327) Data 0.000 (0.002) Loss 1.2782 (1.3922) Prec@1 71.875 (67.768) Prec@5 89.062 (86.445) Epoch: [68][2520/10010] Time 0.320 (0.327) Data 0.001 (0.002) Loss 1.3800 (1.3923) Prec@1 66.406 (67.766) Prec@5 86.719 (86.444) Epoch: [68][2530/10010] Time 0.324 (0.327) Data 0.000 (0.002) Loss 1.5025 (1.3922) Prec@1 65.625 (67.769) Prec@5 85.938 (86.447) Epoch: [68][2540/10010] Time 0.345 (0.327) Data 0.001 (0.002) Loss 1.7382 (1.3928) Prec@1 53.125 (67.754) Prec@5 78.906 (86.434) Epoch: [68][2550/10010] Time 0.326 (0.327) Data 0.000 (0.002) Loss 1.6984 (1.3931) Prec@1 62.500 (67.745) Prec@5 79.688 (86.428) Epoch: [68][2560/10010] Time 0.325 (0.327) Data 0.001 (0.002) Loss 1.5040 (1.3930) Prec@1 64.062 (67.747) Prec@5 85.938 (86.431) Epoch: [68][2570/10010] Time 0.317 (0.327) Data 0.001 (0.002) Loss 1.2533 (1.3930) Prec@1 68.750 (67.743) Prec@5 87.500 (86.434) Epoch: [68][2580/10010] Time 0.311 (0.327) Data 0.001 (0.002) Loss 1.3252 (1.3933) Prec@1 68.750 (67.740) Prec@5 89.062 (86.427) Epoch: [68][2590/10010] Time 0.315 (0.327) Data 0.000 (0.002) Loss 1.3758 (1.3936) Prec@1 71.094 (67.735) Prec@5 88.281 (86.426) Epoch: [68][2600/10010] Time 0.329 (0.327) Data 0.001 (0.002) Loss 1.1521 (1.3938) Prec@1 71.875 (67.734) Prec@5 89.844 (86.422) Epoch: [68][2610/10010] Time 0.315 (0.327) Data 0.001 (0.002) Loss 1.1581 (1.3936) Prec@1 71.875 (67.742) Prec@5 89.844 (86.424) Epoch: [68][2620/10010] Time 0.335 (0.327) Data 0.001 (0.002) Loss 1.3963 (1.3938) Prec@1 67.969 (67.734) Prec@5 86.719 (86.419) Epoch: [68][2630/10010] Time 0.317 (0.327) Data 0.001 (0.002) Loss 1.3931 (1.3936) Prec@1 67.969 (67.735) Prec@5 85.938 (86.421) Epoch: [68][2640/10010] Time 0.325 (0.327) Data 0.001 (0.002) Loss 1.7752 (1.3939) Prec@1 62.500 (67.725) Prec@5 82.031 (86.419) Epoch: [68][2650/10010] Time 0.322 (0.327) Data 0.001 (0.002) Loss 1.5449 (1.3939) Prec@1 67.188 (67.728) Prec@5 81.250 (86.417) Epoch: [68][2660/10010] Time 0.334 (0.327) Data 0.001 (0.002) Loss 1.4074 (1.3940) Prec@1 66.406 (67.729) Prec@5 86.719 (86.418) Epoch: [68][2670/10010] Time 0.325 (0.327) Data 0.000 (0.002) Loss 1.2916 (1.3937) Prec@1 72.656 (67.739) Prec@5 82.812 (86.420) Epoch: [68][2680/10010] Time 0.332 (0.327) Data 0.000 (0.002) Loss 1.2580 (1.3936) Prec@1 71.875 (67.746) Prec@5 88.281 (86.421) Epoch: [68][2690/10010] Time 0.331 (0.327) Data 0.001 (0.002) Loss 1.4270 (1.3937) Prec@1 65.625 (67.749) Prec@5 86.719 (86.424) Epoch: [68][2700/10010] Time 0.330 (0.327) Data 0.000 (0.002) Loss 1.4668 (1.3936) Prec@1 63.281 (67.752) Prec@5 82.031 (86.424) Epoch: [68][2710/10010] Time 0.325 (0.327) Data 0.000 (0.002) Loss 1.4943 (1.3933) Prec@1 62.500 (67.755) Prec@5 84.375 (86.431) Epoch: [68][2720/10010] Time 0.315 (0.327) Data 0.000 (0.002) Loss 1.2752 (1.3934) Prec@1 66.406 (67.754) Prec@5 89.844 (86.431) Epoch: [68][2730/10010] Time 0.329 (0.327) Data 0.001 (0.002) Loss 1.4384 (1.3937) Prec@1 60.156 (67.745) Prec@5 86.719 (86.427) Epoch: [68][2740/10010] Time 0.331 (0.327) Data 0.001 (0.002) Loss 1.6722 (1.3939) Prec@1 61.719 (67.743) Prec@5 81.250 (86.425) Epoch: [68][2750/10010] Time 0.332 (0.327) Data 0.000 (0.002) Loss 1.2687 (1.3939) Prec@1 69.531 (67.742) Prec@5 87.500 (86.425) Epoch: [68][2760/10010] Time 0.314 (0.327) Data 0.000 (0.002) Loss 1.2279 (1.3938) Prec@1 70.312 (67.745) Prec@5 88.281 (86.430) Epoch: [68][2770/10010] Time 0.327 (0.327) Data 0.001 (0.002) Loss 1.3737 (1.3937) Prec@1 75.000 (67.746) Prec@5 86.719 (86.431) Epoch: [68][2780/10010] Time 0.319 (0.327) Data 0.001 (0.002) Loss 1.5317 (1.3939) Prec@1 65.625 (67.744) Prec@5 85.938 (86.431) Epoch: [68][2790/10010] Time 0.322 (0.327) Data 0.001 (0.002) Loss 1.6458 (1.3937) Prec@1 66.406 (67.752) Prec@5 84.375 (86.435) Epoch: [68][2800/10010] Time 0.322 (0.327) Data 0.001 (0.002) Loss 1.4813 (1.3937) Prec@1 69.531 (67.755) Prec@5 85.938 (86.433) Epoch: [68][2810/10010] Time 0.327 (0.327) Data 0.001 (0.002) Loss 1.4746 (1.3936) Prec@1 64.062 (67.757) Prec@5 86.719 (86.434) Epoch: [68][2820/10010] Time 0.336 (0.327) Data 0.001 (0.002) Loss 1.5129 (1.3935) Prec@1 70.312 (67.761) Prec@5 85.938 (86.436) Epoch: [68][2830/10010] Time 0.335 (0.327) Data 0.000 (0.002) Loss 1.2103 (1.3935) Prec@1 73.438 (67.763) Prec@5 89.062 (86.436) Epoch: [68][2840/10010] Time 0.320 (0.327) Data 0.001 (0.002) Loss 1.3528 (1.3935) Prec@1 67.969 (67.766) Prec@5 85.156 (86.433) Epoch: [68][2850/10010] Time 0.323 (0.327) Data 0.001 (0.002) Loss 1.2305 (1.3933) Prec@1 71.094 (67.764) Prec@5 89.062 (86.438) Epoch: [68][2860/10010] Time 0.323 (0.327) Data 0.000 (0.002) Loss 1.3033 (1.3931) Prec@1 71.875 (67.767) Prec@5 88.281 (86.441) Epoch: [68][2870/10010] Time 0.332 (0.327) Data 0.001 (0.002) Loss 1.4190 (1.3935) Prec@1 65.625 (67.760) Prec@5 85.156 (86.433) Epoch: [68][2880/10010] Time 0.339 (0.327) Data 0.001 (0.002) Loss 1.5013 (1.3936) Prec@1 67.188 (67.762) Prec@5 83.594 (86.430) /data/vision/torralba/deepscene/lib/anaconda2/lib/python2.7/site-packages/PIL/TiffImagePlugin.py:692: UserWarning: Possibly corrupt EXIF data. Expecting to read 2555904 bytes but only got 0. Skipping tag 0 "Skipping tag %s" % (size, len(data), tag)) Epoch: [68][2890/10010] Time 0.337 (0.327) Data 0.001 (0.002) Loss 1.5284 (1.3940) Prec@1 64.062 (67.755) Prec@5 82.031 (86.425) Epoch: [68][2900/10010] Time 0.324 (0.327) Data 0.000 (0.002) Loss 1.6667 (1.3941) Prec@1 60.938 (67.749) Prec@5 81.250 (86.424) Epoch: [68][2910/10010] Time 0.322 (0.327) Data 0.000 (0.002) Loss 1.2232 (1.3941) Prec@1 69.531 (67.750) Prec@5 88.281 (86.425) Epoch: [68][2920/10010] Time 0.318 (0.327) Data 0.001 (0.001) Loss 1.3889 (1.3938) Prec@1 65.625 (67.752) Prec@5 87.500 (86.427) Epoch: [68][2930/10010] Time 0.328 (0.327) Data 0.001 (0.001) Loss 1.3416 (1.3939) Prec@1 75.000 (67.752) Prec@5 85.938 (86.424) Epoch: [68][2940/10010] Time 0.336 (0.327) Data 0.001 (0.001) Loss 1.2319 (1.3938) Prec@1 73.438 (67.755) Prec@5 89.062 (86.425) /data/vision/torralba/deepscene/lib/anaconda2/lib/python2.7/site-packages/PIL/TiffImagePlugin.py:692: UserWarning: Possibly corrupt EXIF data. Expecting to read 1835008 bytes but only got 0. Skipping tag 0 "Skipping tag %s" % (size, len(data), tag)) Epoch: [68][2950/10010] Time 0.320 (0.327) Data 0.000 (0.001) Loss 1.5538 (1.3941) Prec@1 63.281 (67.748) Prec@5 85.938 (86.420) Epoch: [68][2960/10010] Time 0.317 (0.327) Data 0.001 (0.001) Loss 1.2889 (1.3940) Prec@1 76.562 (67.751) Prec@5 86.719 (86.420) Epoch: [68][2970/10010] Time 0.319 (0.327) Data 0.001 (0.001) Loss 1.1012 (1.3941) Prec@1 75.000 (67.753) Prec@5 93.750 (86.417) Epoch: [68][2980/10010] Time 0.337 (0.327) Data 0.001 (0.001) Loss 1.3744 (1.3942) Prec@1 71.875 (67.754) Prec@5 85.938 (86.417) Epoch: [68][2990/10010] Time 0.325 (0.327) Data 0.000 (0.001) Loss 1.2763 (1.3940) Prec@1 67.969 (67.756) Prec@5 87.500 (86.419) Epoch: [68][3000/10010] Time 0.338 (0.327) Data 0.001 (0.001) Loss 1.3010 (1.3939) Prec@1 70.312 (67.761) Prec@5 82.031 (86.418) Epoch: [68][3010/10010] Time 0.317 (0.327) Data 0.001 (0.001) Loss 0.9778 (1.3940) Prec@1 73.438 (67.759) Prec@5 93.750 (86.418) Epoch: [68][3020/10010] Time 0.338 (0.327) Data 0.001 (0.001) Loss 1.6069 (1.3938) Prec@1 67.188 (67.766) Prec@5 84.375 (86.420) Epoch: [68][3030/10010] Time 0.332 (0.327) Data 0.000 (0.001) Loss 1.4352 (1.3937) Prec@1 68.750 (67.766) Prec@5 85.938 (86.422) Epoch: [68][3040/10010] Time 0.324 (0.327) Data 0.000 (0.001) Loss 1.3402 (1.3937) Prec@1 70.312 (67.767) Prec@5 84.375 (86.418) Epoch: [68][3050/10010] Time 0.329 (0.327) Data 0.001 (0.001) Loss 1.4743 (1.3935) Prec@1 67.188 (67.772) Prec@5 86.719 (86.425) Epoch: [68][3060/10010] Time 0.320 (0.327) Data 0.001 (0.001) Loss 1.1690 (1.3934) Prec@1 69.531 (67.776) Prec@5 90.625 (86.428) Epoch: [68][3070/10010] Time 0.318 (0.327) Data 0.001 (0.001) Loss 1.3578 (1.3937) Prec@1 69.531 (67.769) Prec@5 85.938 (86.423) Epoch: [68][3080/10010] Time 0.334 (0.327) Data 0.001 (0.001) Loss 1.2656 (1.3939) Prec@1 69.531 (67.769) Prec@5 85.156 (86.421) Epoch: [68][3090/10010] Time 0.336 (0.327) Data 0.000 (0.001) Loss 1.3819 (1.3938) Prec@1 69.531 (67.771) Prec@5 87.500 (86.422) Epoch: [68][3100/10010] Time 0.319 (0.327) Data 0.001 (0.001) Loss 1.3158 (1.3939) Prec@1 67.188 (67.769) Prec@5 87.500 (86.422) Epoch: [68][3110/10010] Time 0.331 (0.327) Data 0.000 (0.001) Loss 1.3258 (1.3940) Prec@1 67.188 (67.764) Prec@5 86.719 (86.415) Epoch: [68][3120/10010] Time 0.315 (0.327) Data 0.001 (0.001) Loss 1.2338 (1.3939) Prec@1 73.438 (67.767) Prec@5 86.719 (86.415) Epoch: [68][3130/10010] Time 0.310 (0.327) Data 0.001 (0.001) Loss 1.3954 (1.3942) Prec@1 66.406 (67.759) Prec@5 86.719 (86.407) Epoch: [68][3140/10010] Time 0.332 (0.327) Data 0.001 (0.001) Loss 1.4968 (1.3940) Prec@1 60.938 (67.766) Prec@5 85.938 (86.408) Epoch: [68][3150/10010] Time 0.320 (0.327) Data 0.001 (0.001) Loss 1.2743 (1.3938) Prec@1 71.094 (67.772) Prec@5 90.625 (86.410) Epoch: [68][3160/10010] Time 0.319 (0.327) Data 0.000 (0.001) Loss 1.2748 (1.3937) Prec@1 75.000 (67.777) Prec@5 91.406 (86.414) Epoch: [68][3170/10010] Time 0.326 (0.327) Data 0.000 (0.001) Loss 1.6520 (1.3939) Prec@1 64.062 (67.776) Prec@5 82.812 (86.409) Epoch: [68][3180/10010] Time 0.334 (0.327) Data 0.001 (0.001) Loss 1.4150 (1.3941) Prec@1 67.188 (67.774) Prec@5 85.938 (86.404) Epoch: [68][3190/10010] Time 0.317 (0.327) Data 0.001 (0.001) Loss 1.4623 (1.3941) Prec@1 66.406 (67.775) Prec@5 84.375 (86.404) Epoch: [68][3200/10010] Time 0.334 (0.327) Data 0.001 (0.001) Loss 1.3912 (1.3939) Prec@1 65.625 (67.780) Prec@5 87.500 (86.406) Epoch: [68][3210/10010] Time 0.320 (0.327) Data 0.001 (0.001) Loss 1.7408 (1.3939) Prec@1 59.375 (67.778) Prec@5 80.469 (86.405) Epoch: [68][3220/10010] Time 0.321 (0.327) Data 0.000 (0.001) Loss 1.2837 (1.3940) Prec@1 69.531 (67.771) Prec@5 87.500 (86.404) Epoch: [68][3230/10010] Time 0.331 (0.327) Data 0.001 (0.001) Loss 1.3589 (1.3941) Prec@1 64.844 (67.766) Prec@5 88.281 (86.403) Epoch: [68][3240/10010] Time 0.343 (0.327) Data 0.000 (0.001) Loss 1.5216 (1.3942) Prec@1 62.500 (67.761) Prec@5 82.812 (86.402) Epoch: [68][3250/10010] Time 0.336 (0.327) Data 0.001 (0.001) Loss 1.1054 (1.3944) Prec@1 75.000 (67.758) Prec@5 89.844 (86.399) Epoch: [68][3260/10010] Time 0.331 (0.327) Data 0.001 (0.001) Loss 1.5394 (1.3944) Prec@1 60.156 (67.754) Prec@5 88.281 (86.400) Epoch: [68][3270/10010] Time 0.330 (0.327) Data 0.001 (0.001) Loss 1.4161 (1.3944) Prec@1 71.094 (67.752) Prec@5 86.719 (86.403) Epoch: [68][3280/10010] Time 0.318 (0.327) Data 0.000 (0.001) Loss 1.4942 (1.3945) Prec@1 58.594 (67.752) Prec@5 88.281 (86.402) Epoch: [68][3290/10010] Time 0.328 (0.327) Data 0.001 (0.001) Loss 1.6774 (1.3945) Prec@1 64.062 (67.751) Prec@5 82.812 (86.403) Epoch: [68][3300/10010] Time 0.318 (0.327) Data 0.001 (0.001) Loss 1.7091 (1.3949) Prec@1 63.281 (67.748) Prec@5 82.031 (86.396) Epoch: [68][3310/10010] Time 0.334 (0.327) Data 0.000 (0.001) Loss 1.5464 (1.3951) Prec@1 63.281 (67.742) Prec@5 88.281 (86.396) Epoch: [68][3320/10010] Time 0.323 (0.327) Data 0.000 (0.001) Loss 1.3019 (1.3949) Prec@1 71.094 (67.748) Prec@5 87.500 (86.395) Epoch: [68][3330/10010] Time 0.333 (0.327) Data 0.001 (0.001) Loss 1.1965 (1.3947) Prec@1 70.312 (67.749) Prec@5 91.406 (86.402) Epoch: [68][3340/10010] Time 0.333 (0.327) Data 0.001 (0.001) Loss 1.3069 (1.3949) Prec@1 71.094 (67.746) Prec@5 85.938 (86.397) Epoch: [68][3350/10010] Time 0.321 (0.327) Data 0.001 (0.001) Loss 1.5409 (1.3949) Prec@1 66.406 (67.748) Prec@5 85.156 (86.396) Epoch: [68][3360/10010] Time 0.332 (0.327) Data 0.001 (0.001) Loss 1.4940 (1.3947) Prec@1 61.719 (67.754) Prec@5 78.906 (86.397) Epoch: [68][3370/10010] Time 0.332 (0.327) Data 0.001 (0.001) Loss 1.5009 (1.3948) Prec@1 66.406 (67.752) Prec@5 87.500 (86.396) Epoch: [68][3380/10010] Time 0.321 (0.327) Data 0.001 (0.001) Loss 1.5018 (1.3949) Prec@1 64.062 (67.752) Prec@5 85.938 (86.399) Epoch: [68][3390/10010] Time 0.333 (0.327) Data 0.001 (0.001) Loss 1.4783 (1.3952) Prec@1 65.625 (67.744) Prec@5 85.156 (86.395) Epoch: [68][3400/10010] Time 0.317 (0.327) Data 0.001 (0.001) Loss 1.6714 (1.3952) Prec@1 64.062 (67.743) Prec@5 82.031 (86.399) Epoch: [68][3410/10010] Time 0.324 (0.327) Data 0.001 (0.001) Loss 1.3422 (1.3954) Prec@1 71.094 (67.739) Prec@5 85.938 (86.394) Epoch: [68][3420/10010] Time 0.338 (0.327) Data 0.001 (0.001) Loss 1.3481 (1.3953) Prec@1 67.969 (67.742) Prec@5 87.500 (86.393) Epoch: [68][3430/10010] Time 0.343 (0.327) Data 0.001 (0.001) Loss 1.5872 (1.3953) Prec@1 63.281 (67.742) Prec@5 81.250 (86.392) Epoch: [68][3440/10010] Time 0.339 (0.327) Data 0.000 (0.001) Loss 1.4278 (1.3956) Prec@1 64.844 (67.735) Prec@5 85.938 (86.389) Epoch: [68][3450/10010] Time 0.326 (0.327) Data 0.000 (0.001) Loss 1.2874 (1.3954) Prec@1 71.094 (67.740) Prec@5 88.281 (86.393) Epoch: [68][3460/10010] Time 0.337 (0.327) Data 0.001 (0.001) Loss 1.4060 (1.3955) Prec@1 61.719 (67.736) Prec@5 89.062 (86.391) Epoch: [68][3470/10010] Time 0.317 (0.327) Data 0.000 (0.001) Loss 1.3365 (1.3955) Prec@1 67.188 (67.732) Prec@5 87.500 (86.392) Epoch: [68][3480/10010] Time 0.311 (0.327) Data 0.001 (0.001) Loss 1.5231 (1.3957) Prec@1 63.281 (67.732) Prec@5 85.156 (86.391) Epoch: [68][3490/10010] Time 0.321 (0.327) Data 0.000 (0.001) Loss 1.5028 (1.3959) Prec@1 67.188 (67.734) Prec@5 83.594 (86.389) Epoch: [68][3500/10010] Time 0.320 (0.327) Data 0.000 (0.001) Loss 1.5138 (1.3960) Prec@1 62.500 (67.734) Prec@5 83.594 (86.387) Epoch: [68][3510/10010] Time 0.322 (0.327) Data 0.001 (0.001) Loss 1.3002 (1.3961) Prec@1 71.875 (67.736) Prec@5 89.062 (86.386) Epoch: [68][3520/10010] Time 0.327 (0.327) Data 0.000 (0.001) Loss 1.3915 (1.3961) Prec@1 66.406 (67.738) Prec@5 85.938 (86.387) Epoch: [68][3530/10010] Time 0.322 (0.327) Data 0.000 (0.001) Loss 1.1987 (1.3958) Prec@1 75.781 (67.748) Prec@5 89.844 (86.391) Epoch: [68][3540/10010] Time 0.312 (0.327) Data 0.001 (0.001) Loss 1.5477 (1.3958) Prec@1 64.062 (67.746) Prec@5 83.594 (86.392) Epoch: [68][3550/10010] Time 0.339 (0.327) Data 0.000 (0.001) Loss 1.4097 (1.3958) Prec@1 67.969 (67.742) Prec@5 85.938 (86.391) Epoch: [68][3560/10010] Time 0.338 (0.327) Data 0.000 (0.001) Loss 1.4483 (1.3960) Prec@1 70.312 (67.736) Prec@5 85.156 (86.389) Epoch: [68][3570/10010] Time 0.320 (0.327) Data 0.001 (0.001) Loss 1.7124 (1.3958) Prec@1 63.281 (67.737) Prec@5 81.250 (86.391) Epoch: [68][3580/10010] Time 0.317 (0.327) Data 0.001 (0.001) Loss 1.5774 (1.3961) Prec@1 62.500 (67.731) Prec@5 81.250 (86.384) Epoch: [68][3590/10010] Time 0.340 (0.327) Data 0.001 (0.001) Loss 1.5454 (1.3962) Prec@1 67.969 (67.730) Prec@5 84.375 (86.384) Epoch: [68][3600/10010] Time 0.340 (0.327) Data 0.000 (0.001) Loss 1.2587 (1.3961) Prec@1 71.094 (67.726) Prec@5 88.281 (86.386) Epoch: [68][3610/10010] Time 0.319 (0.327) Data 0.000 (0.001) Loss 1.3469 (1.3959) Prec@1 65.625 (67.727) Prec@5 85.156 (86.389) Epoch: [68][3620/10010] Time 0.340 (0.327) Data 0.001 (0.001) Loss 1.2573 (1.3959) Prec@1 66.406 (67.729) Prec@5 89.062 (86.386) Epoch: [68][3630/10010] Time 0.331 (0.327) Data 0.001 (0.001) Loss 1.2764 (1.3960) Prec@1 72.656 (67.731) Prec@5 89.062 (86.386) Epoch: [68][3640/10010] Time 0.320 (0.327) Data 0.001 (0.001) Loss 1.4717 (1.3963) Prec@1 67.188 (67.727) Prec@5 88.281 (86.384) Epoch: [68][3650/10010] Time 0.315 (0.327) Data 0.000 (0.001) Loss 1.8628 (1.3962) Prec@1 62.500 (67.727) Prec@5 81.250 (86.384) Epoch: [68][3660/10010] Time 0.320 (0.327) Data 0.001 (0.001) Loss 1.4846 (1.3962) Prec@1 64.062 (67.725) Prec@5 85.938 (86.382) Epoch: [68][3670/10010] Time 0.319 (0.327) Data 0.001 (0.001) Loss 1.2713 (1.3960) Prec@1 68.750 (67.725) Prec@5 90.625 (86.389) Epoch: [68][3680/10010] Time 0.316 (0.327) Data 0.001 (0.001) Loss 1.7368 (1.3962) Prec@1 63.281 (67.722) Prec@5 80.469 (86.387) Epoch: [68][3690/10010] Time 0.320 (0.327) Data 0.001 (0.001) Loss 1.4697 (1.3963) Prec@1 67.969 (67.721) Prec@5 86.719 (86.386) Epoch: [68][3700/10010] Time 0.311 (0.327) Data 0.001 (0.001) Loss 1.1809 (1.3962) Prec@1 71.094 (67.724) Prec@5 89.844 (86.386) Epoch: [68][3710/10010] Time 0.335 (0.327) Data 0.000 (0.001) Loss 1.6677 (1.3963) Prec@1 62.500 (67.720) Prec@5 82.812 (86.387) Epoch: [68][3720/10010] Time 0.319 (0.327) Data 0.000 (0.001) Loss 1.2272 (1.3960) Prec@1 75.781 (67.727) Prec@5 89.844 (86.394) Epoch: [68][3730/10010] Time 0.329 (0.327) Data 0.001 (0.001) Loss 1.4887 (1.3959) Prec@1 64.844 (67.729) Prec@5 86.719 (86.395) Epoch: [68][3740/10010] Time 0.338 (0.327) Data 0.001 (0.001) Loss 1.4901 (1.3960) Prec@1 66.406 (67.726) Prec@5 85.156 (86.392) Epoch: [68][3750/10010] Time 0.334 (0.327) Data 0.000 (0.001) Loss 1.5385 (1.3964) Prec@1 65.625 (67.719) Prec@5 82.812 (86.386) Epoch: [68][3760/10010] Time 0.332 (0.327) Data 0.000 (0.001) Loss 1.4119 (1.3964) Prec@1 64.062 (67.720) Prec@5 85.938 (86.387) Epoch: [68][3770/10010] Time 0.320 (0.327) Data 0.000 (0.001) Loss 1.3093 (1.3964) Prec@1 63.281 (67.716) Prec@5 89.062 (86.386) Epoch: [68][3780/10010] Time 0.337 (0.327) Data 0.001 (0.001) Loss 1.2224 (1.3963) Prec@1 67.969 (67.718) Prec@5 89.844 (86.388) Epoch: [68][3790/10010] Time 0.321 (0.327) Data 0.001 (0.001) Loss 1.2290 (1.3962) Prec@1 69.531 (67.720) Prec@5 89.062 (86.389) Epoch: [68][3800/10010] Time 0.313 (0.327) Data 0.000 (0.001) Loss 1.1329 (1.3962) Prec@1 71.094 (67.721) Prec@5 90.625 (86.389) Epoch: [68][3810/10010] Time 0.326 (0.327) Data 0.000 (0.001) Loss 1.5458 (1.3965) Prec@1 69.531 (67.716) Prec@5 85.938 (86.383) Epoch: [68][3820/10010] Time 0.317 (0.327) Data 0.001 (0.001) Loss 1.3047 (1.3964) Prec@1 70.312 (67.719) Prec@5 88.281 (86.383) Epoch: [68][3830/10010] Time 0.334 (0.327) Data 0.001 (0.001) Loss 1.4716 (1.3967) Prec@1 65.625 (67.714) Prec@5 85.938 (86.379) Epoch: [68][3840/10010] Time 0.319 (0.327) Data 0.000 (0.001) Loss 1.0134 (1.3967) Prec@1 74.219 (67.715) Prec@5 89.844 (86.379) Epoch: [68][3850/10010] Time 0.332 (0.327) Data 0.000 (0.001) Loss 1.3541 (1.3965) Prec@1 71.094 (67.718) Prec@5 85.156 (86.379) Epoch: [68][3860/10010] Time 0.324 (0.327) Data 0.001 (0.001) Loss 1.0637 (1.3964) Prec@1 74.219 (67.720) Prec@5 91.406 (86.380) Epoch: [68][3870/10010] Time 0.317 (0.327) Data 0.001 (0.001) Loss 1.3844 (1.3965) Prec@1 61.719 (67.717) Prec@5 86.719 (86.379) Epoch: [68][3880/10010] Time 0.335 (0.327) Data 0.001 (0.001) Loss 1.3993 (1.3963) Prec@1 68.750 (67.719) Prec@5 82.031 (86.381) Epoch: [68][3890/10010] Time 0.322 (0.327) Data 0.001 (0.001) Loss 1.1621 (1.3963) Prec@1 73.438 (67.718) Prec@5 89.062 (86.381) Epoch: [68][3900/10010] Time 0.322 (0.327) Data 0.000 (0.001) Loss 1.3209 (1.3962) Prec@1 68.750 (67.719) Prec@5 82.812 (86.379) Epoch: [68][3910/10010] Time 0.311 (0.327) Data 0.001 (0.001) Loss 1.1306 (1.3962) Prec@1 78.125 (67.719) Prec@5 89.844 (86.380) Epoch: [68][3920/10010] Time 0.330 (0.327) Data 0.000 (0.001) Loss 1.2200 (1.3962) Prec@1 71.875 (67.717) Prec@5 89.844 (86.380) Epoch: [68][3930/10010] Time 0.335 (0.327) Data 0.001 (0.001) Loss 1.3339 (1.3961) Prec@1 69.531 (67.721) Prec@5 88.281 (86.380) Epoch: [68][3940/10010] Time 0.324 (0.327) Data 0.000 (0.001) Loss 1.3989 (1.3963) Prec@1 68.750 (67.721) Prec@5 82.812 (86.378) Epoch: [68][3950/10010] Time 0.328 (0.327) Data 0.001 (0.001) Loss 1.3418 (1.3963) Prec@1 69.531 (67.718) Prec@5 88.281 (86.378) Epoch: [68][3960/10010] Time 0.339 (0.327) Data 0.000 (0.001) Loss 1.2251 (1.3961) Prec@1 69.531 (67.718) Prec@5 87.500 (86.378) Epoch: [68][3970/10010] Time 0.333 (0.327) Data 0.001 (0.001) Loss 1.4968 (1.3961) Prec@1 61.719 (67.718) Prec@5 86.719 (86.381) Epoch: [68][3980/10010] Time 0.318 (0.327) Data 0.001 (0.001) Loss 1.4785 (1.3962) Prec@1 69.531 (67.718) Prec@5 85.938 (86.380) Epoch: [68][3990/10010] Time 0.335 (0.327) Data 0.000 (0.001) Loss 1.3883 (1.3962) Prec@1 67.969 (67.719) Prec@5 83.594 (86.380) Epoch: [68][4000/10010] Time 0.316 (0.327) Data 0.001 (0.001) Loss 1.3742 (1.3963) Prec@1 74.219 (67.718) Prec@5 87.500 (86.379) Epoch: [68][4010/10010] Time 0.327 (0.327) Data 0.000 (0.001) Loss 1.4992 (1.3964) Prec@1 68.750 (67.717) Prec@5 84.375 (86.375) Epoch: [68][4020/10010] Time 0.323 (0.327) Data 0.000 (0.001) Loss 1.5407 (1.3965) Prec@1 66.406 (67.717) Prec@5 84.375 (86.375) Epoch: [68][4030/10010] Time 0.329 (0.327) Data 0.000 (0.001) Loss 1.5340 (1.3965) Prec@1 63.281 (67.718) Prec@5 86.719 (86.374) Epoch: [68][4040/10010] Time 0.316 (0.327) Data 0.001 (0.001) Loss 1.5134 (1.3964) Prec@1 63.281 (67.718) Prec@5 85.156 (86.373) Epoch: [68][4050/10010] Time 0.315 (0.327) Data 0.000 (0.001) Loss 1.7114 (1.3968) Prec@1 62.500 (67.712) Prec@5 81.250 (86.369) Epoch: [68][4060/10010] Time 0.340 (0.327) Data 0.000 (0.001) Loss 1.3397 (1.3966) Prec@1 70.312 (67.716) Prec@5 83.594 (86.372) Epoch: [68][4070/10010] Time 0.337 (0.327) Data 0.000 (0.001) Loss 1.4299 (1.3966) Prec@1 68.750 (67.719) Prec@5 89.062 (86.372) Epoch: [68][4080/10010] Time 0.324 (0.327) Data 0.001 (0.001) Loss 1.6849 (1.3967) Prec@1 66.406 (67.717) Prec@5 85.156 (86.373) Epoch: [68][4090/10010] Time 0.334 (0.327) Data 0.000 (0.001) Loss 1.4613 (1.3967) Prec@1 71.875 (67.721) Prec@5 82.812 (86.371) Epoch: [68][4100/10010] Time 0.337 (0.327) Data 0.000 (0.001) Loss 1.6256 (1.3970) Prec@1 59.375 (67.717) Prec@5 78.906 (86.365) Epoch: [68][4110/10010] Time 0.319 (0.327) Data 0.001 (0.001) Loss 1.2162 (1.3969) Prec@1 69.531 (67.718) Prec@5 88.281 (86.367) Epoch: [68][4120/10010] Time 0.328 (0.327) Data 0.000 (0.001) Loss 1.4090 (1.3967) Prec@1 68.750 (67.724) Prec@5 85.938 (86.371) Epoch: [68][4130/10010] Time 0.322 (0.327) Data 0.000 (0.001) Loss 1.3914 (1.3966) Prec@1 63.281 (67.722) Prec@5 84.375 (86.372) Epoch: [68][4140/10010] Time 0.332 (0.327) Data 0.001 (0.001) Loss 1.5331 (1.3966) Prec@1 64.062 (67.723) Prec@5 83.594 (86.372) Epoch: [68][4150/10010] Time 0.319 (0.327) Data 0.001 (0.001) Loss 1.0978 (1.3965) Prec@1 71.875 (67.727) Prec@5 91.406 (86.372) Epoch: [68][4160/10010] Time 0.320 (0.326) Data 0.001 (0.001) Loss 1.3507 (1.3961) Prec@1 69.531 (67.732) Prec@5 87.500 (86.381) Epoch: [68][4170/10010] Time 0.329 (0.327) Data 0.001 (0.001) Loss 1.1663 (1.3959) Prec@1 73.438 (67.737) Prec@5 90.625 (86.385) Epoch: [68][4180/10010] Time 0.336 (0.327) Data 0.001 (0.001) Loss 1.6311 (1.3960) Prec@1 58.594 (67.734) Prec@5 80.469 (86.384) Epoch: [68][4190/10010] Time 0.341 (0.327) Data 0.001 (0.001) Loss 1.3406 (1.3958) Prec@1 68.750 (67.738) Prec@5 89.062 (86.387) Epoch: [68][4200/10010] Time 0.327 (0.327) Data 0.001 (0.001) Loss 1.6706 (1.3958) Prec@1 61.719 (67.736) Prec@5 79.688 (86.387) Epoch: [68][4210/10010] Time 0.331 (0.327) Data 0.000 (0.001) Loss 1.5213 (1.3958) Prec@1 60.156 (67.735) Prec@5 83.594 (86.391) Epoch: [68][4220/10010] Time 0.332 (0.327) Data 0.001 (0.001) Loss 1.4062 (1.3960) Prec@1 64.844 (67.731) Prec@5 86.719 (86.386) Epoch: [68][4230/10010] Time 0.312 (0.327) Data 0.001 (0.001) Loss 1.3990 (1.3961) Prec@1 70.312 (67.729) Prec@5 89.062 (86.384) Epoch: [68][4240/10010] Time 0.316 (0.327) Data 0.000 (0.001) Loss 1.6541 (1.3961) Prec@1 67.188 (67.731) Prec@5 81.250 (86.385) Epoch: [68][4250/10010] Time 0.329 (0.327) Data 0.000 (0.001) Loss 1.5457 (1.3960) Prec@1 64.844 (67.734) Prec@5 85.938 (86.387) Epoch: [68][4260/10010] Time 0.323 (0.327) Data 0.000 (0.001) Loss 1.6428 (1.3960) Prec@1 63.281 (67.733) Prec@5 83.594 (86.386) Epoch: [68][4270/10010] Time 0.319 (0.326) Data 0.000 (0.001) Loss 1.4847 (1.3961) Prec@1 66.406 (67.733) Prec@5 85.156 (86.385) Epoch: [68][4280/10010] Time 0.334 (0.327) Data 0.001 (0.001) Loss 1.4173 (1.3962) Prec@1 64.062 (67.728) Prec@5 88.281 (86.382) Epoch: [68][4290/10010] Time 0.338 (0.327) Data 0.000 (0.001) Loss 1.2893 (1.3962) Prec@1 75.000 (67.728) Prec@5 89.062 (86.382) Epoch: [68][4300/10010] Time 0.333 (0.326) Data 0.001 (0.001) Loss 1.1257 (1.3962) Prec@1 69.531 (67.730) Prec@5 93.750 (86.384) Epoch: [68][4310/10010] Time 0.327 (0.326) Data 0.001 (0.001) Loss 1.4963 (1.3963) Prec@1 66.406 (67.731) Prec@5 82.812 (86.381) Epoch: [68][4320/10010] Time 0.325 (0.326) Data 0.001 (0.001) Loss 1.4236 (1.3963) Prec@1 66.406 (67.732) Prec@5 87.500 (86.381) Epoch: [68][4330/10010] Time 0.325 (0.326) Data 0.001 (0.001) Loss 1.3558 (1.3961) Prec@1 71.094 (67.737) Prec@5 87.500 (86.383) Epoch: [68][4340/10010] Time 0.342 (0.327) Data 0.001 (0.001) Loss 1.4636 (1.3964) Prec@1 66.406 (67.730) Prec@5 85.156 (86.376) Epoch: [68][4350/10010] Time 0.321 (0.327) Data 0.000 (0.001) Loss 1.3875 (1.3964) Prec@1 67.969 (67.728) Prec@5 85.156 (86.377) Epoch: [68][4360/10010] Time 0.336 (0.327) Data 0.000 (0.001) Loss 1.6180 (1.3965) Prec@1 66.406 (67.728) Prec@5 85.156 (86.376) /data/vision/torralba/deepscene/lib/anaconda2/lib/python2.7/site-packages/PIL/TiffImagePlugin.py:692: UserWarning: Possibly corrupt EXIF data. Expecting to read 19660800 bytes but only got 0. Skipping tag 0 "Skipping tag %s" % (size, len(data), tag)) /data/vision/torralba/deepscene/lib/anaconda2/lib/python2.7/site-packages/PIL/TiffImagePlugin.py:692: UserWarning: Possibly corrupt EXIF data. Expecting to read 18481152 bytes but only got 0. Skipping tag 0 "Skipping tag %s" % (size, len(data), tag)) /data/vision/torralba/deepscene/lib/anaconda2/lib/python2.7/site-packages/PIL/TiffImagePlugin.py:692: UserWarning: Possibly corrupt EXIF data. Expecting to read 37093376 bytes but only got 0. Skipping tag 0 "Skipping tag %s" % (size, len(data), tag)) /data/vision/torralba/deepscene/lib/anaconda2/lib/python2.7/site-packages/PIL/TiffImagePlugin.py:692: UserWarning: Possibly corrupt EXIF data. Expecting to read 39976960 bytes but only got 0. Skipping tag 0 "Skipping tag %s" % (size, len(data), tag)) /data/vision/torralba/deepscene/lib/anaconda2/lib/python2.7/site-packages/PIL/TiffImagePlugin.py:692: UserWarning: Possibly corrupt EXIF data. Expecting to read 34865152 bytes but only got 0. Skipping tag 0 "Skipping tag %s" % (size, len(data), tag)) /data/vision/torralba/deepscene/lib/anaconda2/lib/python2.7/site-packages/PIL/TiffImagePlugin.py:709: UserWarning: Corrupt EXIF data. Expecting to read 12 bytes but only got 10. warnings.warn(str(msg)) Epoch: [68][4370/10010] Time 0.315 (0.327) Data 0.000 (0.001) Loss 1.3016 (1.3964) Prec@1 70.312 (67.727) Prec@5 89.062 (86.377) Epoch: [68][4380/10010] Time 0.336 (0.327) Data 0.000 (0.001) Loss 1.5428 (1.3963) Prec@1 65.625 (67.724) Prec@5 82.031 (86.379) Epoch: [68][4390/10010] Time 0.319 (0.327) Data 0.001 (0.001) Loss 0.9934 (1.3961) Prec@1 71.875 (67.727) Prec@5 92.188 (86.384) Epoch: [68][4400/10010] Time 0.328 (0.327) Data 0.001 (0.001) Loss 1.2820 (1.3963) Prec@1 68.750 (67.724) Prec@5 89.062 (86.382) Epoch: [68][4410/10010] Time 0.341 (0.327) Data 0.000 (0.001) Loss 1.6786 (1.3961) Prec@1 61.719 (67.727) Prec@5 82.031 (86.385) Epoch: [68][4420/10010] Time 0.340 (0.327) Data 0.001 (0.001) Loss 1.1915 (1.3961) Prec@1 75.781 (67.728) Prec@5 88.281 (86.384) Epoch: [68][4430/10010] Time 0.327 (0.327) Data 0.000 (0.001) Loss 1.3824 (1.3961) Prec@1 67.969 (67.729) Prec@5 87.500 (86.384) Epoch: [68][4440/10010] Time 0.337 (0.327) Data 0.001 (0.001) Loss 1.5506 (1.3959) Prec@1 60.156 (67.731) Prec@5 86.719 (86.385) Epoch: [68][4450/10010] Time 0.317 (0.327) Data 0.000 (0.001) Loss 1.2801 (1.3961) Prec@1 71.875 (67.731) Prec@5 89.062 (86.381) Epoch: [68][4460/10010] Time 0.326 (0.327) Data 0.001 (0.001) Loss 1.3916 (1.3960) Prec@1 61.719 (67.731) Prec@5 86.719 (86.383) Epoch: [68][4470/10010] Time 0.332 (0.327) Data 0.000 (0.001) Loss 1.2449 (1.3960) Prec@1 65.625 (67.736) Prec@5 89.844 (86.384) Epoch: [68][4480/10010] Time 0.318 (0.327) Data 0.000 (0.001) Loss 1.2030 (1.3961) Prec@1 73.438 (67.738) Prec@5 87.500 (86.381) Epoch: [68][4490/10010] Time 0.328 (0.327) Data 0.001 (0.001) Loss 1.2041 (1.3962) Prec@1 72.656 (67.734) Prec@5 89.844 (86.379) Epoch: [68][4500/10010] Time 0.341 (0.327) Data 0.001 (0.001) Loss 1.2260 (1.3962) Prec@1 71.094 (67.735) Prec@5 89.844 (86.378) Epoch: [68][4510/10010] Time 0.341 (0.327) Data 0.001 (0.001) Loss 1.7625 (1.3963) Prec@1 63.281 (67.730) Prec@5 81.250 (86.376) Epoch: [68][4520/10010] Time 0.323 (0.327) Data 0.000 (0.001) Loss 1.0590 (1.3964) Prec@1 73.438 (67.731) Prec@5 91.406 (86.377) Epoch: [68][4530/10010] Time 0.319 (0.327) Data 0.001 (0.001) Loss 1.1357 (1.3963) Prec@1 74.219 (67.734) Prec@5 88.281 (86.377) Epoch: [68][4540/10010] Time 0.316 (0.327) Data 0.001 (0.001) Loss 1.3224 (1.3964) Prec@1 67.188 (67.734) Prec@5 90.625 (86.376) Epoch: [68][4550/10010] Time 0.331 (0.327) Data 0.001 (0.001) Loss 1.5720 (1.3964) Prec@1 66.406 (67.732) Prec@5 85.156 (86.375) Epoch: [68][4560/10010] Time 0.318 (0.327) Data 0.001 (0.001) Loss 1.3446 (1.3965) Prec@1 64.844 (67.728) Prec@5 87.500 (86.373) Epoch: [68][4570/10010] Time 0.327 (0.327) Data 0.001 (0.001) Loss 1.5659 (1.3966) Prec@1 66.406 (67.727) Prec@5 81.250 (86.370) Epoch: [68][4580/10010] Time 0.332 (0.327) Data 0.001 (0.001) Loss 1.4002 (1.3966) Prec@1 65.625 (67.726) Prec@5 85.938 (86.372) Epoch: [68][4590/10010] Time 0.315 (0.327) Data 0.001 (0.001) Loss 1.3043 (1.3966) Prec@1 72.656 (67.726) Prec@5 89.062 (86.372) Epoch: [68][4600/10010] Time 0.313 (0.327) Data 0.000 (0.001) Loss 1.2474 (1.3967) Prec@1 71.094 (67.722) Prec@5 89.844 (86.372) Epoch: [68][4610/10010] Time 0.327 (0.327) Data 0.001 (0.001) Loss 1.2643 (1.3967) Prec@1 70.312 (67.722) Prec@5 89.844 (86.373) Epoch: [68][4620/10010] Time 0.320 (0.327) Data 0.001 (0.001) Loss 1.4206 (1.3966) Prec@1 67.969 (67.723) Prec@5 85.156 (86.375) Epoch: [68][4630/10010] Time 0.336 (0.326) Data 0.001 (0.001) Loss 1.4882 (1.3966) Prec@1 65.625 (67.723) Prec@5 85.938 (86.375) Epoch: [68][4640/10010] Time 0.329 (0.327) Data 0.000 (0.001) Loss 1.6840 (1.3970) Prec@1 59.375 (67.717) Prec@5 82.812 (86.370) Epoch: [68][4650/10010] Time 0.333 (0.327) Data 0.001 (0.001) Loss 1.0701 (1.3967) Prec@1 73.438 (67.721) Prec@5 90.625 (86.372) Epoch: [68][4660/10010] Time 0.341 (0.327) Data 0.001 (0.001) Loss 1.3390 (1.3969) Prec@1 68.750 (67.717) Prec@5 87.500 (86.369) Epoch: [68][4670/10010] Time 0.339 (0.327) Data 0.001 (0.001) Loss 1.3357 (1.3969) Prec@1 71.094 (67.718) Prec@5 85.938 (86.369) Epoch: [68][4680/10010] Time 0.332 (0.327) Data 0.000 (0.001) Loss 1.5066 (1.3970) Prec@1 70.312 (67.714) Prec@5 87.500 (86.366) Epoch: [68][4690/10010] Time 0.329 (0.326) Data 0.001 (0.001) Loss 1.2498 (1.3972) Prec@1 70.312 (67.709) Prec@5 90.625 (86.363) Epoch: [68][4700/10010] Time 0.332 (0.326) Data 0.001 (0.001) Loss 1.3659 (1.3973) Prec@1 70.312 (67.708) Prec@5 88.281 (86.360) Epoch: [68][4710/10010] Time 0.316 (0.326) Data 0.000 (0.001) Loss 1.5685 (1.3973) Prec@1 65.625 (67.711) Prec@5 82.812 (86.360) Epoch: [68][4720/10010] Time 0.319 (0.326) Data 0.000 (0.001) Loss 1.5575 (1.3974) Prec@1 67.188 (67.710) Prec@5 85.156 (86.361) Epoch: [68][4730/10010] Time 0.317 (0.326) Data 0.001 (0.001) Loss 1.3873 (1.3975) Prec@1 69.531 (67.707) Prec@5 86.719 (86.360) Epoch: [68][4740/10010] Time 0.332 (0.326) Data 0.001 (0.001) Loss 1.5014 (1.3975) Prec@1 64.844 (67.706) Prec@5 85.156 (86.361) Epoch: [68][4750/10010] Time 0.335 (0.326) Data 0.000 (0.001) Loss 1.4637 (1.3975) Prec@1 65.625 (67.708) Prec@5 86.719 (86.362) Epoch: [68][4760/10010] Time 0.323 (0.326) Data 0.000 (0.001) Loss 1.3400 (1.3974) Prec@1 71.094 (67.709) Prec@5 86.719 (86.363) Epoch: [68][4770/10010] Time 0.316 (0.326) Data 0.001 (0.001) Loss 1.2317 (1.3974) Prec@1 71.094 (67.711) Prec@5 89.844 (86.362) Epoch: [68][4780/10010] Time 0.307 (0.326) Data 0.001 (0.001) Loss 1.5638 (1.3975) Prec@1 60.938 (67.710) Prec@5 85.938 (86.363) Epoch: [68][4790/10010] Time 0.317 (0.326) Data 0.000 (0.001) Loss 1.4174 (1.3975) Prec@1 67.188 (67.710) Prec@5 83.594 (86.362) Epoch: [68][4800/10010] Time 0.329 (0.326) Data 0.000 (0.001) Loss 1.0899 (1.3974) Prec@1 73.438 (67.712) Prec@5 91.406 (86.364) Epoch: [68][4810/10010] Time 0.321 (0.326) Data 0.001 (0.001) Loss 1.2421 (1.3973) Prec@1 69.531 (67.715) Prec@5 86.719 (86.365) Epoch: [68][4820/10010] Time 0.327 (0.326) Data 0.001 (0.001) Loss 1.1307 (1.3972) Prec@1 71.875 (67.717) Prec@5 90.625 (86.366) Epoch: [68][4830/10010] Time 0.313 (0.326) Data 0.001 (0.001) Loss 1.3804 (1.3972) Prec@1 65.625 (67.719) Prec@5 87.500 (86.366) Epoch: [68][4840/10010] Time 0.332 (0.326) Data 0.001 (0.001) Loss 1.5107 (1.3973) Prec@1 71.094 (67.716) Prec@5 83.594 (86.366) Epoch: [68][4850/10010] Time 0.340 (0.326) Data 0.001 (0.001) Loss 1.5665 (1.3973) Prec@1 66.406 (67.716) Prec@5 85.156 (86.366) Epoch: [68][4860/10010] Time 0.338 (0.326) Data 0.000 (0.001) Loss 1.3337 (1.3975) Prec@1 78.125 (67.713) Prec@5 87.500 (86.362) Epoch: [68][4870/10010] Time 0.315 (0.326) Data 0.001 (0.001) Loss 1.1559 (1.3973) Prec@1 71.875 (67.718) Prec@5 91.406 (86.364) Epoch: [68][4880/10010] Time 0.329 (0.326) Data 0.000 (0.001) Loss 1.1000 (1.3974) Prec@1 71.875 (67.714) Prec@5 89.844 (86.365) Epoch: [68][4890/10010] Time 0.332 (0.326) Data 0.000 (0.001) Loss 1.2975 (1.3973) Prec@1 73.438 (67.717) Prec@5 87.500 (86.365) Epoch: [68][4900/10010] Time 0.318 (0.326) Data 0.000 (0.001) Loss 1.5635 (1.3975) Prec@1 65.625 (67.714) Prec@5 85.938 (86.364) Epoch: [68][4910/10010] Time 0.336 (0.326) Data 0.001 (0.001) Loss 1.2732 (1.3976) Prec@1 66.406 (67.713) Prec@5 88.281 (86.363) Epoch: [68][4920/10010] Time 0.325 (0.326) Data 0.000 (0.001) Loss 1.5422 (1.3975) Prec@1 67.969 (67.716) Prec@5 82.031 (86.364) Epoch: [68][4930/10010] Time 0.338 (0.326) Data 0.000 (0.001) Loss 1.5485 (1.3976) Prec@1 64.062 (67.715) Prec@5 82.031 (86.364) Epoch: [68][4940/10010] Time 0.317 (0.326) Data 0.000 (0.001) Loss 1.3469 (1.3975) Prec@1 71.875 (67.718) Prec@5 85.938 (86.366) Epoch: [68][4950/10010] Time 0.329 (0.326) Data 0.001 (0.001) Loss 1.4041 (1.3976) Prec@1 69.531 (67.718) Prec@5 89.844 (86.365) Epoch: [68][4960/10010] Time 0.337 (0.326) Data 0.000 (0.001) Loss 1.1732 (1.3974) Prec@1 71.875 (67.720) Prec@5 88.281 (86.367) Epoch: [68][4970/10010] Time 0.318 (0.326) Data 0.000 (0.001) Loss 1.5733 (1.3974) Prec@1 66.406 (67.726) Prec@5 84.375 (86.367) Epoch: [68][4980/10010] Time 0.318 (0.326) Data 0.000 (0.001) Loss 1.3168 (1.3972) Prec@1 67.969 (67.729) Prec@5 89.844 (86.370) Epoch: [68][4990/10010] Time 0.314 (0.326) Data 0.001 (0.001) Loss 1.3785 (1.3973) Prec@1 65.625 (67.728) Prec@5 85.156 (86.368) Epoch: [68][5000/10010] Time 0.342 (0.326) Data 0.000 (0.001) Loss 1.1984 (1.3974) Prec@1 67.969 (67.725) Prec@5 88.281 (86.368) Epoch: [68][5010/10010] Time 0.318 (0.326) Data 0.000 (0.001) Loss 1.4885 (1.3973) Prec@1 65.625 (67.727) Prec@5 85.156 (86.368) Epoch: [68][5020/10010] Time 0.322 (0.326) Data 0.000 (0.001) Loss 1.4783 (1.3973) Prec@1 67.188 (67.729) Prec@5 86.719 (86.368) Epoch: [68][5030/10010] Time 0.337 (0.326) Data 0.001 (0.001) Loss 1.3888 (1.3972) Prec@1 67.188 (67.731) Prec@5 88.281 (86.368) Epoch: [68][5040/10010] Time 0.319 (0.326) Data 0.000 (0.001) Loss 1.4754 (1.3970) Prec@1 66.406 (67.737) Prec@5 82.812 (86.370) Epoch: [68][5050/10010] Time 0.322 (0.326) Data 0.000 (0.001) Loss 1.3917 (1.3970) Prec@1 65.625 (67.735) Prec@5 85.156 (86.368) Epoch: [68][5060/10010] Time 0.325 (0.326) Data 0.000 (0.001) Loss 1.3940 (1.3971) Prec@1 71.094 (67.736) Prec@5 82.031 (86.367) Epoch: [68][5070/10010] Time 0.336 (0.326) Data 0.001 (0.001) Loss 1.3126 (1.3972) Prec@1 71.094 (67.736) Prec@5 85.938 (86.365) Epoch: [68][5080/10010] Time 0.328 (0.326) Data 0.001 (0.001) Loss 1.6983 (1.3974) Prec@1 64.844 (67.737) Prec@5 80.469 (86.362) Epoch: [68][5090/10010] Time 0.330 (0.326) Data 0.001 (0.001) Loss 1.3269 (1.3975) Prec@1 68.750 (67.734) Prec@5 89.844 (86.362) Epoch: [68][5100/10010] Time 0.317 (0.326) Data 0.000 (0.001) Loss 1.6435 (1.3975) Prec@1 60.938 (67.730) Prec@5 81.250 (86.362) Epoch: [68][5110/10010] Time 0.329 (0.326) Data 0.001 (0.001) Loss 1.5465 (1.3978) Prec@1 60.938 (67.727) Prec@5 82.812 (86.358) Epoch: [68][5120/10010] Time 0.340 (0.326) Data 0.000 (0.001) Loss 1.2850 (1.3978) Prec@1 67.969 (67.728) Prec@5 90.625 (86.357) Epoch: [68][5130/10010] Time 0.342 (0.327) Data 0.001 (0.001) Loss 1.2588 (1.3979) Prec@1 69.531 (67.728) Prec@5 89.062 (86.355) Epoch: [68][5140/10010] Time 0.329 (0.327) Data 0.001 (0.001) Loss 1.2746 (1.3979) Prec@1 72.656 (67.724) Prec@5 88.281 (86.358) Epoch: [68][5150/10010] Time 0.336 (0.327) Data 0.001 (0.001) Loss 1.4443 (1.3979) Prec@1 65.625 (67.724) Prec@5 85.156 (86.358) Epoch: [68][5160/10010] Time 0.337 (0.327) Data 0.000 (0.001) Loss 1.5547 (1.3980) Prec@1 66.406 (67.724) Prec@5 84.375 (86.356) Epoch: [68][5170/10010] Time 0.323 (0.327) Data 0.001 (0.001) Loss 1.1766 (1.3980) Prec@1 67.969 (67.724) Prec@5 92.188 (86.356) Epoch: [68][5180/10010] Time 0.337 (0.327) Data 0.001 (0.001) Loss 1.1904 (1.3980) Prec@1 73.438 (67.724) Prec@5 92.188 (86.357) Epoch: [68][5190/10010] Time 0.338 (0.327) Data 0.001 (0.001) Loss 1.3056 (1.3980) Prec@1 68.750 (67.724) Prec@5 88.281 (86.356) Epoch: [68][5200/10010] Time 0.316 (0.327) Data 0.001 (0.001) Loss 1.2366 (1.3980) Prec@1 71.094 (67.724) Prec@5 88.281 (86.355) Epoch: [68][5210/10010] Time 0.337 (0.327) Data 0.000 (0.001) Loss 1.4768 (1.3982) Prec@1 68.750 (67.723) Prec@5 83.594 (86.351) Epoch: [68][5220/10010] Time 0.318 (0.327) Data 0.000 (0.001) Loss 1.7081 (1.3981) Prec@1 60.156 (67.725) Prec@5 82.031 (86.352) Epoch: [68][5230/10010] Time 0.316 (0.326) Data 0.001 (0.001) Loss 1.4811 (1.3980) Prec@1 67.969 (67.728) Prec@5 85.938 (86.354) Epoch: [68][5240/10010] Time 0.325 (0.327) Data 0.000 (0.001) Loss 1.3117 (1.3978) Prec@1 67.969 (67.728) Prec@5 88.281 (86.358) Epoch: [68][5250/10010] Time 0.326 (0.327) Data 0.001 (0.001) Loss 1.3715 (1.3978) Prec@1 67.969 (67.729) Prec@5 85.938 (86.358) Epoch: [68][5260/10010] Time 0.339 (0.327) Data 0.000 (0.001) Loss 1.5095 (1.3979) Prec@1 65.625 (67.729) Prec@5 85.938 (86.357) Epoch: [68][5270/10010] Time 0.331 (0.327) Data 0.001 (0.001) Loss 1.4040 (1.3979) Prec@1 67.969 (67.730) Prec@5 87.500 (86.355) Epoch: [68][5280/10010] Time 0.314 (0.327) Data 0.000 (0.001) Loss 1.4552 (1.3981) Prec@1 67.969 (67.728) Prec@5 86.719 (86.353) Epoch: [68][5290/10010] Time 0.313 (0.326) Data 0.000 (0.001) Loss 1.3508 (1.3981) Prec@1 71.094 (67.728) Prec@5 85.156 (86.355) Epoch: [68][5300/10010] Time 0.315 (0.326) Data 0.000 (0.001) Loss 1.3807 (1.3981) Prec@1 69.531 (67.730) Prec@5 86.719 (86.355) Epoch: [68][5310/10010] Time 0.324 (0.326) Data 0.001 (0.001) Loss 1.3638 (1.3979) Prec@1 69.531 (67.735) Prec@5 86.719 (86.358) Epoch: [68][5320/10010] Time 0.331 (0.326) Data 0.000 (0.001) Loss 1.5647 (1.3980) Prec@1 58.594 (67.734) Prec@5 83.594 (86.356) Epoch: [68][5330/10010] Time 0.316 (0.326) Data 0.001 (0.001) Loss 1.6294 (1.3980) Prec@1 67.969 (67.731) Prec@5 83.594 (86.357) Epoch: [68][5340/10010] Time 0.333 (0.326) Data 0.001 (0.001) Loss 1.5074 (1.3980) Prec@1 60.156 (67.725) Prec@5 82.031 (86.356) Epoch: [68][5350/10010] Time 0.317 (0.326) Data 0.001 (0.001) Loss 1.3940 (1.3980) Prec@1 67.969 (67.726) Prec@5 84.375 (86.356) Epoch: [68][5360/10010] Time 0.322 (0.326) Data 0.000 (0.001) Loss 1.3137 (1.3980) Prec@1 70.312 (67.727) Prec@5 88.281 (86.355) Epoch: [68][5370/10010] Time 0.336 (0.326) Data 0.001 (0.001) Loss 1.2273 (1.3981) Prec@1 70.312 (67.726) Prec@5 89.062 (86.354) Epoch: [68][5380/10010] Time 0.319 (0.326) Data 0.000 (0.001) Loss 1.3714 (1.3980) Prec@1 68.750 (67.727) Prec@5 85.156 (86.355) Epoch: [68][5390/10010] Time 0.332 (0.326) Data 0.001 (0.001) Loss 1.6833 (1.3983) Prec@1 64.844 (67.722) Prec@5 80.469 (86.351) Epoch: [68][5400/10010] Time 0.326 (0.326) Data 0.001 (0.001) Loss 1.4197 (1.3984) Prec@1 69.531 (67.721) Prec@5 84.375 (86.350) Epoch: [68][5410/10010] Time 0.319 (0.326) Data 0.000 (0.001) Loss 1.4816 (1.3983) Prec@1 62.500 (67.722) Prec@5 87.500 (86.352) Epoch: [68][5420/10010] Time 0.333 (0.326) Data 0.001 (0.001) Loss 1.4299 (1.3983) Prec@1 67.188 (67.720) Prec@5 84.375 (86.352) Epoch: [68][5430/10010] Time 0.323 (0.326) Data 0.000 (0.001) Loss 1.5868 (1.3984) Prec@1 65.625 (67.719) Prec@5 82.031 (86.351) Epoch: [68][5440/10010] Time 0.316 (0.326) Data 0.001 (0.001) Loss 1.4496 (1.3985) Prec@1 66.406 (67.713) Prec@5 87.500 (86.348) Epoch: [68][5450/10010] Time 0.337 (0.326) Data 0.000 (0.001) Loss 1.2828 (1.3984) Prec@1 72.656 (67.717) Prec@5 88.281 (86.349) Epoch: [68][5460/10010] Time 0.325 (0.326) Data 0.000 (0.001) Loss 1.3897 (1.3984) Prec@1 69.531 (67.717) Prec@5 83.594 (86.346) Epoch: [68][5470/10010] Time 0.323 (0.326) Data 0.001 (0.001) Loss 1.5896 (1.3983) Prec@1 61.719 (67.719) Prec@5 78.906 (86.346) Epoch: [68][5480/10010] Time 0.319 (0.326) Data 0.001 (0.001) Loss 1.2844 (1.3983) Prec@1 67.188 (67.717) Prec@5 91.406 (86.346) Epoch: [68][5490/10010] Time 0.321 (0.326) Data 0.001 (0.001) Loss 1.4545 (1.3985) Prec@1 71.094 (67.712) Prec@5 85.938 (86.343) Epoch: [68][5500/10010] Time 0.322 (0.326) Data 0.001 (0.001) Loss 1.6608 (1.3985) Prec@1 67.188 (67.713) Prec@5 81.250 (86.343) Epoch: [68][5510/10010] Time 0.327 (0.326) Data 0.001 (0.001) Loss 1.4657 (1.3984) Prec@1 61.719 (67.713) Prec@5 85.938 (86.344) Epoch: [68][5520/10010] Time 0.316 (0.326) Data 0.001 (0.001) Loss 1.2969 (1.3984) Prec@1 71.094 (67.713) Prec@5 86.719 (86.345) Epoch: [68][5530/10010] Time 0.327 (0.326) Data 0.001 (0.001) Loss 1.3395 (1.3984) Prec@1 70.312 (67.712) Prec@5 89.062 (86.344) Epoch: [68][5540/10010] Time 0.321 (0.326) Data 0.000 (0.001) Loss 1.7254 (1.3985) Prec@1 59.375 (67.707) Prec@5 82.031 (86.345) Epoch: [68][5550/10010] Time 0.340 (0.326) Data 0.000 (0.001) Loss 1.1681 (1.3984) Prec@1 75.000 (67.707) Prec@5 89.062 (86.347) Epoch: [68][5560/10010] Time 0.333 (0.326) Data 0.000 (0.001) Loss 1.0047 (1.3984) Prec@1 75.781 (67.708) Prec@5 92.969 (86.345) Epoch: [68][5570/10010] Time 0.309 (0.326) Data 0.001 (0.001) Loss 1.7286 (1.3985) Prec@1 57.812 (67.705) Prec@5 82.812 (86.344) Epoch: [68][5580/10010] Time 0.332 (0.326) Data 0.000 (0.001) Loss 1.3138 (1.3983) Prec@1 65.625 (67.707) Prec@5 89.062 (86.348) Epoch: [68][5590/10010] Time 0.313 (0.326) Data 0.001 (0.001) Loss 1.1891 (1.3984) Prec@1 73.438 (67.706) Prec@5 90.625 (86.349) Epoch: [68][5600/10010] Time 0.323 (0.326) Data 0.001 (0.001) Loss 1.5181 (1.3984) Prec@1 64.062 (67.706) Prec@5 86.719 (86.349) Epoch: [68][5610/10010] Time 0.336 (0.326) Data 0.001 (0.001) Loss 1.2144 (1.3981) Prec@1 71.875 (67.712) Prec@5 87.500 (86.352) Epoch: [68][5620/10010] Time 0.317 (0.326) Data 0.000 (0.001) Loss 1.4239 (1.3981) Prec@1 64.844 (67.713) Prec@5 88.281 (86.354) Epoch: [68][5630/10010] Time 0.329 (0.326) Data 0.001 (0.001) Loss 1.5657 (1.3979) Prec@1 66.406 (67.717) Prec@5 86.719 (86.355) Epoch: [68][5640/10010] Time 0.318 (0.326) Data 0.001 (0.001) Loss 1.3974 (1.3980) Prec@1 66.406 (67.711) Prec@5 87.500 (86.352) Epoch: [68][5650/10010] Time 0.320 (0.326) Data 0.001 (0.001) Loss 1.4225 (1.3982) Prec@1 68.750 (67.708) Prec@5 85.156 (86.352) Epoch: [68][5660/10010] Time 0.319 (0.326) Data 0.000 (0.001) Loss 1.4174 (1.3981) Prec@1 71.875 (67.711) Prec@5 83.594 (86.352) Epoch: [68][5670/10010] Time 0.328 (0.326) Data 0.000 (0.001) Loss 1.5622 (1.3982) Prec@1 61.719 (67.710) Prec@5 82.812 (86.351) Epoch: [68][5680/10010] Time 0.329 (0.326) Data 0.000 (0.001) Loss 1.2713 (1.3983) Prec@1 67.188 (67.708) Prec@5 89.062 (86.349) Epoch: [68][5690/10010] Time 0.317 (0.326) Data 0.001 (0.001) Loss 1.4650 (1.3984) Prec@1 67.188 (67.709) Prec@5 84.375 (86.348) Epoch: [68][5700/10010] Time 0.329 (0.326) Data 0.000 (0.001) Loss 1.2759 (1.3983) Prec@1 72.656 (67.712) Prec@5 85.156 (86.348) Epoch: [68][5710/10010] Time 0.337 (0.326) Data 0.000 (0.001) Loss 1.4772 (1.3985) Prec@1 65.625 (67.710) Prec@5 86.719 (86.346) Epoch: [68][5720/10010] Time 0.340 (0.326) Data 0.001 (0.001) Loss 1.2913 (1.3984) Prec@1 66.406 (67.710) Prec@5 88.281 (86.348) Epoch: [68][5730/10010] Time 0.315 (0.326) Data 0.001 (0.001) Loss 1.4630 (1.3982) Prec@1 65.625 (67.715) Prec@5 87.500 (86.351) Epoch: [68][5740/10010] Time 0.310 (0.326) Data 0.001 (0.001) Loss 1.4637 (1.3983) Prec@1 62.500 (67.713) Prec@5 85.156 (86.350) Epoch: [68][5750/10010] Time 0.326 (0.326) Data 0.000 (0.001) Loss 1.0777 (1.3983) Prec@1 78.906 (67.711) Prec@5 92.969 (86.349) Epoch: [68][5760/10010] Time 0.320 (0.326) Data 0.001 (0.001) Loss 1.7022 (1.3984) Prec@1 61.719 (67.710) Prec@5 83.594 (86.348) Epoch: [68][5770/10010] Time 0.319 (0.326) Data 0.001 (0.001) Loss 1.5525 (1.3985) Prec@1 60.156 (67.705) Prec@5 87.500 (86.347) Epoch: [68][5780/10010] Time 0.312 (0.326) Data 0.001 (0.001) Loss 1.2229 (1.3985) Prec@1 70.312 (67.706) Prec@5 89.062 (86.348) Epoch: [68][5790/10010] Time 0.321 (0.326) Data 0.000 (0.001) Loss 1.4483 (1.3984) Prec@1 66.406 (67.708) Prec@5 82.031 (86.347) Epoch: [68][5800/10010] Time 0.331 (0.326) Data 0.001 (0.001) Loss 1.6023 (1.3984) Prec@1 66.406 (67.707) Prec@5 85.938 (86.348) Epoch: [68][5810/10010] Time 0.327 (0.326) Data 0.000 (0.001) Loss 1.3906 (1.3985) Prec@1 63.281 (67.704) Prec@5 86.719 (86.348) Epoch: [68][5820/10010] Time 0.317 (0.326) Data 0.000 (0.001) Loss 1.6817 (1.3986) Prec@1 64.062 (67.702) Prec@5 82.812 (86.347) Epoch: [68][5830/10010] Time 0.322 (0.326) Data 0.001 (0.001) Loss 1.3399 (1.3986) Prec@1 67.188 (67.704) Prec@5 87.500 (86.348) Epoch: [68][5840/10010] Time 0.333 (0.326) Data 0.000 (0.001) Loss 1.4317 (1.3985) Prec@1 69.531 (67.705) Prec@5 85.938 (86.349) Epoch: [68][5850/10010] Time 0.325 (0.326) Data 0.000 (0.001) Loss 1.2928 (1.3984) Prec@1 67.969 (67.706) Prec@5 88.281 (86.350) Epoch: [68][5860/10010] Time 0.317 (0.326) Data 0.000 (0.001) Loss 1.1949 (1.3984) Prec@1 70.312 (67.705) Prec@5 93.750 (86.354) Epoch: [68][5870/10010] Time 0.341 (0.326) Data 0.001 (0.001) Loss 1.6252 (1.3985) Prec@1 64.844 (67.704) Prec@5 82.031 (86.351) Epoch: [68][5880/10010] Time 0.312 (0.326) Data 0.001 (0.001) Loss 1.5163 (1.3984) Prec@1 64.844 (67.706) Prec@5 85.156 (86.352) Epoch: [68][5890/10010] Time 0.316 (0.326) Data 0.001 (0.001) Loss 1.5336 (1.3985) Prec@1 67.188 (67.705) Prec@5 84.375 (86.351) Epoch: [68][5900/10010] Time 0.332 (0.326) Data 0.000 (0.001) Loss 1.2834 (1.3986) Prec@1 68.750 (67.700) Prec@5 87.500 (86.349) Epoch: [68][5910/10010] Time 0.335 (0.326) Data 0.000 (0.001) Loss 1.5900 (1.3987) Prec@1 65.625 (67.697) Prec@5 83.594 (86.347) Epoch: [68][5920/10010] Time 0.332 (0.326) Data 0.001 (0.001) Loss 1.4859 (1.3987) Prec@1 71.094 (67.694) Prec@5 84.375 (86.347) Epoch: [68][5930/10010] Time 0.326 (0.326) Data 0.000 (0.001) Loss 1.3474 (1.3985) Prec@1 70.312 (67.698) Prec@5 87.500 (86.349) Epoch: [68][5940/10010] Time 0.322 (0.326) Data 0.001 (0.001) Loss 1.6042 (1.3986) Prec@1 65.625 (67.696) Prec@5 81.250 (86.348) Epoch: [68][5950/10010] Time 0.327 (0.326) Data 0.001 (0.001) Loss 1.4819 (1.3985) Prec@1 64.062 (67.696) Prec@5 82.031 (86.350) Epoch: [68][5960/10010] Time 0.320 (0.326) Data 0.000 (0.001) Loss 1.4875 (1.3984) Prec@1 66.406 (67.696) Prec@5 85.156 (86.349) Epoch: [68][5970/10010] Time 0.333 (0.326) Data 0.001 (0.001) Loss 1.2600 (1.3983) Prec@1 71.875 (67.698) Prec@5 88.281 (86.350) Epoch: [68][5980/10010] Time 0.313 (0.326) Data 0.001 (0.001) Loss 1.7690 (1.3984) Prec@1 60.156 (67.697) Prec@5 82.031 (86.349) Epoch: [68][5990/10010] Time 0.312 (0.326) Data 0.000 (0.001) Loss 1.4222 (1.3982) Prec@1 66.406 (67.702) Prec@5 85.938 (86.352) Epoch: [68][6000/10010] Time 0.320 (0.326) Data 0.001 (0.001) Loss 1.1486 (1.3983) Prec@1 67.969 (67.699) Prec@5 89.062 (86.351) Epoch: [68][6010/10010] Time 0.332 (0.326) Data 0.001 (0.001) Loss 1.3079 (1.3984) Prec@1 70.312 (67.696) Prec@5 91.406 (86.350) Epoch: [68][6020/10010] Time 0.339 (0.326) Data 0.001 (0.001) Loss 1.5656 (1.3984) Prec@1 61.719 (67.695) Prec@5 83.594 (86.348) Epoch: [68][6030/10010] Time 0.321 (0.326) Data 0.000 (0.001) Loss 1.7338 (1.3985) Prec@1 63.281 (67.694) Prec@5 78.125 (86.347) Epoch: [68][6040/10010] Time 0.337 (0.326) Data 0.001 (0.001) Loss 1.3952 (1.3985) Prec@1 71.094 (67.694) Prec@5 85.938 (86.348) Epoch: [68][6050/10010] Time 0.333 (0.326) Data 0.001 (0.001) Loss 1.4548 (1.3985) Prec@1 67.969 (67.697) Prec@5 83.594 (86.347) Epoch: [68][6060/10010] Time 0.317 (0.326) Data 0.000 (0.001) Loss 1.3619 (1.3984) Prec@1 69.531 (67.696) Prec@5 89.844 (86.350) Epoch: [68][6070/10010] Time 0.326 (0.326) Data 0.001 (0.001) Loss 1.4172 (1.3985) Prec@1 64.844 (67.696) Prec@5 87.500 (86.349) Epoch: [68][6080/10010] Time 0.319 (0.326) Data 0.001 (0.001) Loss 1.6301 (1.3985) Prec@1 65.625 (67.697) Prec@5 81.250 (86.349) Epoch: [68][6090/10010] Time 0.332 (0.326) Data 0.001 (0.001) Loss 1.3569 (1.3985) Prec@1 67.188 (67.697) Prec@5 86.719 (86.350) Epoch: [68][6100/10010] Time 0.330 (0.326) Data 0.001 (0.001) Loss 1.5193 (1.3984) Prec@1 66.406 (67.698) Prec@5 84.375 (86.351) Epoch: [68][6110/10010] Time 0.339 (0.326) Data 0.000 (0.001) Loss 1.4626 (1.3984) Prec@1 67.969 (67.699) Prec@5 85.938 (86.351) Epoch: [68][6120/10010] Time 0.326 (0.326) Data 0.001 (0.001) Loss 1.3346 (1.3985) Prec@1 73.438 (67.697) Prec@5 89.844 (86.350) Epoch: [68][6130/10010] Time 0.338 (0.326) Data 0.000 (0.001) Loss 1.6067 (1.3986) Prec@1 65.625 (67.696) Prec@5 83.594 (86.349) Epoch: [68][6140/10010] Time 0.321 (0.326) Data 0.001 (0.001) Loss 1.4927 (1.3985) Prec@1 62.500 (67.696) Prec@5 84.375 (86.351) Epoch: [68][6150/10010] Time 0.322 (0.326) Data 0.001 (0.001) Loss 1.5509 (1.3985) Prec@1 61.719 (67.696) Prec@5 83.594 (86.351) Epoch: [68][6160/10010] Time 0.329 (0.326) Data 0.000 (0.001) Loss 1.1239 (1.3985) Prec@1 71.875 (67.694) Prec@5 89.062 (86.350) Epoch: [68][6170/10010] Time 0.319 (0.326) Data 0.000 (0.001) Loss 1.6333 (1.3985) Prec@1 64.062 (67.696) Prec@5 82.812 (86.351) Epoch: [68][6180/10010] Time 0.334 (0.326) Data 0.001 (0.001) Loss 1.2745 (1.3984) Prec@1 67.188 (67.696) Prec@5 87.500 (86.354) Epoch: [68][6190/10010] Time 0.322 (0.326) Data 0.001 (0.001) Loss 1.5720 (1.3985) Prec@1 62.500 (67.694) Prec@5 84.375 (86.352) Epoch: [68][6200/10010] Time 0.323 (0.326) Data 0.000 (0.001) Loss 1.5762 (1.3985) Prec@1 60.938 (67.690) Prec@5 86.719 (86.352) Epoch: [68][6210/10010] Time 0.326 (0.326) Data 0.000 (0.001) Loss 1.5381 (1.3986) Prec@1 63.281 (67.688) Prec@5 85.938 (86.352) Epoch: [68][6220/10010] Time 0.327 (0.326) Data 0.001 (0.001) Loss 1.1568 (1.3985) Prec@1 76.562 (67.693) Prec@5 88.281 (86.354) Epoch: [68][6230/10010] Time 0.334 (0.326) Data 0.001 (0.001) Loss 1.5809 (1.3985) Prec@1 62.500 (67.693) Prec@5 84.375 (86.354) Epoch: [68][6240/10010] Time 0.336 (0.326) Data 0.001 (0.001) Loss 1.1317 (1.3984) Prec@1 78.906 (67.694) Prec@5 92.188 (86.355) Epoch: [68][6250/10010] Time 0.320 (0.326) Data 0.001 (0.001) Loss 1.3320 (1.3984) Prec@1 75.000 (67.695) Prec@5 89.062 (86.356) Epoch: [68][6260/10010] Time 0.323 (0.326) Data 0.000 (0.001) Loss 1.4905 (1.3984) Prec@1 64.844 (67.694) Prec@5 84.375 (86.357) Epoch: [68][6270/10010] Time 0.315 (0.326) Data 0.000 (0.001) Loss 1.9545 (1.3985) Prec@1 59.375 (67.690) Prec@5 78.906 (86.356) Epoch: [68][6280/10010] Time 0.331 (0.326) Data 0.000 (0.001) Loss 1.5558 (1.3985) Prec@1 63.281 (67.688) Prec@5 81.250 (86.356) Epoch: [68][6290/10010] Time 0.316 (0.326) Data 0.000 (0.001) Loss 1.1737 (1.3985) Prec@1 75.000 (67.691) Prec@5 88.281 (86.357) Epoch: [68][6300/10010] Time 0.312 (0.326) Data 0.001 (0.001) Loss 1.6718 (1.3985) Prec@1 61.719 (67.689) Prec@5 85.156 (86.358) Epoch: [68][6310/10010] Time 0.329 (0.326) Data 0.000 (0.001) Loss 1.5100 (1.3986) Prec@1 64.844 (67.687) Prec@5 82.812 (86.358) Epoch: [68][6320/10010] Time 0.336 (0.326) Data 0.001 (0.001) Loss 1.5589 (1.3986) Prec@1 64.062 (67.686) Prec@5 84.375 (86.357) Epoch: [68][6330/10010] Time 0.334 (0.326) Data 0.001 (0.001) Loss 1.2902 (1.3986) Prec@1 74.219 (67.689) Prec@5 89.062 (86.357) Epoch: [68][6340/10010] Time 0.332 (0.326) Data 0.000 (0.001) Loss 1.2829 (1.3985) Prec@1 67.188 (67.690) Prec@5 89.062 (86.357) Epoch: [68][6350/10010] Time 0.333 (0.326) Data 0.001 (0.001) Loss 1.3011 (1.3986) Prec@1 71.875 (67.690) Prec@5 89.062 (86.356) Epoch: [68][6360/10010] Time 0.325 (0.326) Data 0.001 (0.001) Loss 1.5760 (1.3987) Prec@1 65.625 (67.688) Prec@5 82.031 (86.354) Epoch: [68][6370/10010] Time 0.330 (0.326) Data 0.001 (0.001) Loss 1.2959 (1.3987) Prec@1 65.625 (67.688) Prec@5 85.938 (86.352) Epoch: [68][6380/10010] Time 0.321 (0.326) Data 0.001 (0.001) Loss 1.5716 (1.3988) Prec@1 65.625 (67.690) Prec@5 85.156 (86.350) Epoch: [68][6390/10010] Time 0.340 (0.326) Data 0.000 (0.001) Loss 1.3427 (1.3988) Prec@1 69.531 (67.691) Prec@5 83.594 (86.350) Epoch: [68][6400/10010] Time 0.323 (0.326) Data 0.001 (0.001) Loss 1.4362 (1.3988) Prec@1 65.625 (67.688) Prec@5 87.500 (86.350) Epoch: [68][6410/10010] Time 0.311 (0.326) Data 0.001 (0.001) Loss 1.5993 (1.3989) Prec@1 59.375 (67.686) Prec@5 84.375 (86.350) Epoch: [68][6420/10010] Time 0.331 (0.326) Data 0.000 (0.001) Loss 1.6621 (1.3988) Prec@1 64.844 (67.686) Prec@5 82.812 (86.349) Epoch: [68][6430/10010] Time 0.337 (0.326) Data 0.001 (0.001) Loss 1.1838 (1.3987) Prec@1 70.312 (67.689) Prec@5 89.062 (86.351) Epoch: [68][6440/10010] Time 0.341 (0.326) Data 0.001 (0.001) Loss 1.5453 (1.3986) Prec@1 64.062 (67.691) Prec@5 85.156 (86.354) Epoch: [68][6450/10010] Time 0.328 (0.326) Data 0.000 (0.001) Loss 1.1733 (1.3987) Prec@1 68.750 (67.688) Prec@5 90.625 (86.353) Epoch: [68][6460/10010] Time 0.334 (0.326) Data 0.001 (0.001) Loss 1.3758 (1.3988) Prec@1 65.625 (67.685) Prec@5 86.719 (86.351) Epoch: [68][6470/10010] Time 0.338 (0.326) Data 0.000 (0.001) Loss 1.3830 (1.3987) Prec@1 69.531 (67.687) Prec@5 86.719 (86.352) Epoch: [68][6480/10010] Time 0.323 (0.326) Data 0.001 (0.001) Loss 1.4914 (1.3987) Prec@1 62.500 (67.689) Prec@5 86.719 (86.351) Epoch: [68][6490/10010] Time 0.322 (0.326) Data 0.000 (0.001) Loss 1.3550 (1.3986) Prec@1 69.531 (67.689) Prec@5 89.062 (86.352) Epoch: [68][6500/10010] Time 0.337 (0.326) Data 0.001 (0.001) Loss 1.2515 (1.3986) Prec@1 69.531 (67.690) Prec@5 88.281 (86.353) Epoch: [68][6510/10010] Time 0.336 (0.326) Data 0.001 (0.001) Loss 1.6711 (1.3987) Prec@1 61.719 (67.690) Prec@5 79.688 (86.351) Epoch: [68][6520/10010] Time 0.326 (0.326) Data 0.001 (0.001) Loss 1.4913 (1.3987) Prec@1 66.406 (67.689) Prec@5 85.938 (86.351) Epoch: [68][6530/10010] Time 0.321 (0.326) Data 0.001 (0.001) Loss 1.3562 (1.3986) Prec@1 65.625 (67.688) Prec@5 85.156 (86.352) Epoch: [68][6540/10010] Time 0.339 (0.326) Data 0.000 (0.001) Loss 1.2355 (1.3986) Prec@1 67.188 (67.690) Prec@5 89.062 (86.351) Epoch: [68][6550/10010] Time 0.335 (0.326) Data 0.000 (0.001) Loss 1.1515 (1.3985) Prec@1 69.531 (67.695) Prec@5 90.625 (86.352) Epoch: [68][6560/10010] Time 0.318 (0.326) Data 0.010 (0.001) Loss 1.4410 (1.3984) Prec@1 67.188 (67.695) Prec@5 86.719 (86.353) Epoch: [68][6570/10010] Time 0.339 (0.326) Data 0.001 (0.001) Loss 1.3019 (1.3984) Prec@1 64.062 (67.696) Prec@5 85.938 (86.352) Epoch: [68][6580/10010] Time 0.333 (0.326) Data 0.001 (0.001) Loss 1.4583 (1.3985) Prec@1 63.281 (67.695) Prec@5 85.156 (86.351) Epoch: [68][6590/10010] Time 0.327 (0.326) Data 0.001 (0.001) Loss 1.3256 (1.3985) Prec@1 69.531 (67.695) Prec@5 87.500 (86.350) Epoch: [68][6600/10010] Time 0.311 (0.326) Data 0.001 (0.001) Loss 1.1849 (1.3985) Prec@1 72.656 (67.695) Prec@5 89.844 (86.350) Epoch: [68][6610/10010] Time 0.319 (0.326) Data 0.001 (0.001) Loss 1.2966 (1.3985) Prec@1 64.844 (67.693) Prec@5 90.625 (86.350) Epoch: [68][6620/10010] Time 0.334 (0.326) Data 0.000 (0.001) Loss 1.5108 (1.3986) Prec@1 66.406 (67.693) Prec@5 85.156 (86.349) Epoch: [68][6630/10010] Time 0.314 (0.326) Data 0.001 (0.001) Loss 1.5575 (1.3986) Prec@1 67.188 (67.694) Prec@5 84.375 (86.348) Epoch: [68][6640/10010] Time 0.323 (0.326) Data 0.001 (0.001) Loss 1.3928 (1.3988) Prec@1 67.188 (67.691) Prec@5 84.375 (86.346) Epoch: [68][6650/10010] Time 0.326 (0.326) Data 0.001 (0.001) Loss 1.3427 (1.3988) Prec@1 71.875 (67.692) Prec@5 89.844 (86.348) Epoch: [68][6660/10010] Time 0.339 (0.326) Data 0.001 (0.001) Loss 1.2195 (1.3987) Prec@1 68.750 (67.690) Prec@5 89.844 (86.350) Epoch: [68][6670/10010] Time 0.326 (0.326) Data 0.000 (0.001) Loss 1.4213 (1.3987) Prec@1 69.531 (67.691) Prec@5 86.719 (86.350) Epoch: [68][6680/10010] Time 0.325 (0.326) Data 0.001 (0.001) Loss 1.5364 (1.3986) Prec@1 67.969 (67.693) Prec@5 82.031 (86.351) Epoch: [68][6690/10010] Time 0.316 (0.326) Data 0.000 (0.001) Loss 1.4152 (1.3986) Prec@1 64.844 (67.691) Prec@5 90.625 (86.352) Epoch: [68][6700/10010] Time 0.338 (0.326) Data 0.000 (0.001) Loss 1.4256 (1.3985) Prec@1 65.625 (67.693) Prec@5 86.719 (86.354) Epoch: [68][6710/10010] Time 0.322 (0.326) Data 0.000 (0.001) Loss 1.3747 (1.3986) Prec@1 65.625 (67.692) Prec@5 89.062 (86.352) Epoch: [68][6720/10010] Time 0.331 (0.326) Data 0.001 (0.001) Loss 1.6100 (1.3986) Prec@1 66.406 (67.694) Prec@5 78.125 (86.353) Epoch: [68][6730/10010] Time 0.320 (0.326) Data 0.001 (0.001) Loss 1.4265 (1.3986) Prec@1 67.969 (67.691) Prec@5 85.938 (86.352) Epoch: [68][6740/10010] Time 0.327 (0.326) Data 0.000 (0.001) Loss 1.3752 (1.3986) Prec@1 69.531 (67.690) Prec@5 84.375 (86.351) Epoch: [68][6750/10010] Time 0.323 (0.326) Data 0.001 (0.001) Loss 1.4095 (1.3986) Prec@1 67.969 (67.689) Prec@5 82.812 (86.350) Epoch: [68][6760/10010] Time 0.313 (0.326) Data 0.001 (0.001) Loss 1.2948 (1.3987) Prec@1 72.656 (67.688) Prec@5 89.062 (86.352) Epoch: [68][6770/10010] Time 0.331 (0.326) Data 0.001 (0.001) Loss 1.5730 (1.3987) Prec@1 65.625 (67.686) Prec@5 82.031 (86.351) Epoch: [68][6780/10010] Time 0.337 (0.326) Data 0.000 (0.001) Loss 1.2711 (1.3987) Prec@1 75.781 (67.686) Prec@5 89.844 (86.351) Epoch: [68][6790/10010] Time 0.331 (0.326) Data 0.000 (0.001) Loss 1.3964 (1.3987) Prec@1 66.406 (67.684) Prec@5 82.812 (86.350) Epoch: [68][6800/10010] Time 0.335 (0.326) Data 0.001 (0.001) Loss 1.7740 (1.3988) Prec@1 59.375 (67.682) Prec@5 79.688 (86.349) Epoch: [68][6810/10010] Time 0.326 (0.326) Data 0.000 (0.001) Loss 1.2655 (1.3988) Prec@1 74.219 (67.683) Prec@5 89.062 (86.349) Epoch: [68][6820/10010] Time 0.332 (0.326) Data 0.001 (0.001) Loss 1.2028 (1.3988) Prec@1 69.531 (67.680) Prec@5 90.625 (86.348) Epoch: [68][6830/10010] Time 0.313 (0.326) Data 0.001 (0.001) Loss 1.4392 (1.3987) Prec@1 70.312 (67.681) Prec@5 86.719 (86.349) Epoch: [68][6840/10010] Time 0.344 (0.326) Data 0.000 (0.001) Loss 1.2540 (1.3987) Prec@1 68.750 (67.681) Prec@5 89.844 (86.350) Epoch: [68][6850/10010] Time 0.329 (0.326) Data 0.000 (0.001) Loss 1.4661 (1.3987) Prec@1 65.625 (67.680) Prec@5 82.031 (86.349) Epoch: [68][6860/10010] Time 0.320 (0.326) Data 0.001 (0.001) Loss 1.3799 (1.3986) Prec@1 67.969 (67.681) Prec@5 82.812 (86.348) Epoch: [68][6870/10010] Time 0.319 (0.326) Data 0.000 (0.001) Loss 1.1705 (1.3985) Prec@1 69.531 (67.685) Prec@5 86.719 (86.349) Epoch: [68][6880/10010] Time 0.335 (0.326) Data 0.001 (0.001) Loss 1.2472 (1.3984) Prec@1 64.844 (67.683) Prec@5 89.062 (86.349) Epoch: [68][6890/10010] Time 0.332 (0.326) Data 0.001 (0.001) Loss 1.3067 (1.3984) Prec@1 67.969 (67.684) Prec@5 87.500 (86.351) Epoch: [68][6900/10010] Time 0.327 (0.326) Data 0.001 (0.001) Loss 1.2366 (1.3985) Prec@1 70.312 (67.680) Prec@5 87.500 (86.350) Epoch: [68][6910/10010] Time 0.321 (0.326) Data 0.000 (0.001) Loss 1.4759 (1.3985) Prec@1 60.938 (67.681) Prec@5 82.812 (86.349) Epoch: [68][6920/10010] Time 0.319 (0.326) Data 0.000 (0.001) Loss 1.5976 (1.3986) Prec@1 60.938 (67.678) Prec@5 83.594 (86.348) Epoch: [68][6930/10010] Time 0.329 (0.326) Data 0.000 (0.001) Loss 1.2341 (1.3985) Prec@1 69.531 (67.681) Prec@5 88.281 (86.349) Epoch: [68][6940/10010] Time 0.340 (0.326) Data 0.000 (0.001) Loss 1.1113 (1.3985) Prec@1 77.344 (67.682) Prec@5 91.406 (86.349) Epoch: [68][6950/10010] Time 0.337 (0.326) Data 0.001 (0.001) Loss 1.4930 (1.3984) Prec@1 66.406 (67.682) Prec@5 83.594 (86.348) Epoch: [68][6960/10010] Time 0.325 (0.326) Data 0.001 (0.001) Loss 1.2995 (1.3984) Prec@1 67.188 (67.682) Prec@5 86.719 (86.349) Epoch: [68][6970/10010] Time 0.333 (0.326) Data 0.000 (0.001) Loss 1.2433 (1.3983) Prec@1 70.312 (67.683) Prec@5 89.062 (86.349) Epoch: [68][6980/10010] Time 0.323 (0.326) Data 0.001 (0.001) Loss 1.4919 (1.3983) Prec@1 67.188 (67.682) Prec@5 86.719 (86.350) Epoch: [68][6990/10010] Time 0.337 (0.326) Data 0.000 (0.001) Loss 1.4861 (1.3984) Prec@1 62.500 (67.680) Prec@5 83.594 (86.349) Epoch: [68][7000/10010] Time 0.334 (0.326) Data 0.000 (0.001) Loss 1.2680 (1.3984) Prec@1 69.531 (67.682) Prec@5 88.281 (86.348) Epoch: [68][7010/10010] Time 0.341 (0.326) Data 0.000 (0.001) Loss 1.1279 (1.3983) Prec@1 70.312 (67.683) Prec@5 89.844 (86.349) Epoch: [68][7020/10010] Time 0.319 (0.326) Data 0.001 (0.001) Loss 1.2833 (1.3983) Prec@1 69.531 (67.683) Prec@5 87.500 (86.349) Epoch: [68][7030/10010] Time 0.311 (0.326) Data 0.000 (0.001) Loss 1.4924 (1.3983) Prec@1 67.188 (67.683) Prec@5 86.719 (86.347) Epoch: [68][7040/10010] Time 0.320 (0.326) Data 0.001 (0.001) Loss 1.4707 (1.3983) Prec@1 64.844 (67.684) Prec@5 85.938 (86.347) Epoch: [68][7050/10010] Time 0.338 (0.326) Data 0.001 (0.001) Loss 1.5364 (1.3983) Prec@1 64.844 (67.684) Prec@5 87.500 (86.347) Epoch: [68][7060/10010] Time 0.333 (0.326) Data 0.001 (0.001) Loss 1.5830 (1.3983) Prec@1 63.281 (67.684) Prec@5 79.688 (86.347) Epoch: [68][7070/10010] Time 0.317 (0.326) Data 0.000 (0.001) Loss 1.2902 (1.3982) Prec@1 73.438 (67.689) Prec@5 87.500 (86.348) Epoch: [68][7080/10010] Time 0.312 (0.326) Data 0.000 (0.001) Loss 1.1240 (1.3982) Prec@1 74.219 (67.691) Prec@5 88.281 (86.347) Epoch: [68][7090/10010] Time 0.339 (0.326) Data 0.001 (0.001) Loss 1.3545 (1.3982) Prec@1 71.094 (67.691) Prec@5 88.281 (86.346) Epoch: [68][7100/10010] Time 0.320 (0.326) Data 0.001 (0.001) Loss 1.3022 (1.3983) Prec@1 65.625 (67.690) Prec@5 89.062 (86.347) Epoch: [68][7110/10010] Time 0.320 (0.326) Data 0.000 (0.001) Loss 1.2072 (1.3983) Prec@1 70.312 (67.690) Prec@5 89.844 (86.347) Epoch: [68][7120/10010] Time 0.317 (0.326) Data 0.001 (0.001) Loss 1.2715 (1.3980) Prec@1 71.094 (67.695) Prec@5 87.500 (86.352) Epoch: [68][7130/10010] Time 0.335 (0.326) Data 0.000 (0.001) Loss 1.3612 (1.3980) Prec@1 71.094 (67.697) Prec@5 86.719 (86.354) Epoch: [68][7140/10010] Time 0.319 (0.326) Data 0.001 (0.001) Loss 1.3942 (1.3979) Prec@1 64.062 (67.700) Prec@5 85.938 (86.356) Epoch: [68][7150/10010] Time 0.319 (0.326) Data 0.001 (0.001) Loss 1.5938 (1.3979) Prec@1 68.750 (67.702) Prec@5 82.031 (86.356) Epoch: [68][7160/10010] Time 0.324 (0.326) Data 0.001 (0.001) Loss 1.5955 (1.3980) Prec@1 60.938 (67.700) Prec@5 84.375 (86.355) Epoch: [68][7170/10010] Time 0.333 (0.326) Data 0.001 (0.001) Loss 1.5262 (1.3981) Prec@1 63.281 (67.697) Prec@5 81.250 (86.354) Epoch: [68][7180/10010] Time 0.315 (0.326) Data 0.001 (0.001) Loss 1.4967 (1.3981) Prec@1 67.969 (67.700) Prec@5 85.938 (86.353) Epoch: [68][7190/10010] Time 0.318 (0.326) Data 0.000 (0.001) Loss 1.4119 (1.3979) Prec@1 67.969 (67.703) Prec@5 84.375 (86.355) Epoch: [68][7200/10010] Time 0.319 (0.326) Data 0.001 (0.001) Loss 1.1943 (1.3980) Prec@1 70.312 (67.703) Prec@5 89.844 (86.354) Epoch: [68][7210/10010] Time 0.329 (0.326) Data 0.000 (0.001) Loss 1.1712 (1.3978) Prec@1 71.094 (67.706) Prec@5 88.281 (86.358) Epoch: [68][7220/10010] Time 0.319 (0.326) Data 0.001 (0.001) Loss 1.4955 (1.3977) Prec@1 60.938 (67.705) Prec@5 84.375 (86.360) Epoch: [68][7230/10010] Time 0.324 (0.326) Data 0.001 (0.001) Loss 1.7158 (1.3978) Prec@1 64.062 (67.704) Prec@5 82.812 (86.358) Epoch: [68][7240/10010] Time 0.315 (0.326) Data 0.001 (0.001) Loss 1.3004 (1.3977) Prec@1 71.094 (67.708) Prec@5 88.281 (86.360) Epoch: [68][7250/10010] Time 0.316 (0.326) Data 0.001 (0.001) Loss 1.6825 (1.3977) Prec@1 60.938 (67.706) Prec@5 84.375 (86.359) Epoch: [68][7260/10010] Time 0.330 (0.326) Data 0.001 (0.001) Loss 1.4153 (1.3977) Prec@1 67.969 (67.706) Prec@5 88.281 (86.358) Epoch: [68][7270/10010] Time 0.316 (0.326) Data 0.000 (0.001) Loss 1.1478 (1.3977) Prec@1 71.875 (67.706) Prec@5 90.625 (86.357) Epoch: [68][7280/10010] Time 0.315 (0.326) Data 0.001 (0.001) Loss 1.4340 (1.3977) Prec@1 68.750 (67.704) Prec@5 88.281 (86.357) Epoch: [68][7290/10010] Time 0.333 (0.326) Data 0.001 (0.001) Loss 1.6882 (1.3978) Prec@1 63.281 (67.703) Prec@5 84.375 (86.355) Epoch: [68][7300/10010] Time 0.323 (0.326) Data 0.001 (0.001) Loss 1.4046 (1.3979) Prec@1 67.969 (67.702) Prec@5 86.719 (86.354) Epoch: [68][7310/10010] Time 0.322 (0.326) Data 0.000 (0.001) Loss 1.5852 (1.3979) Prec@1 61.719 (67.703) Prec@5 83.594 (86.356) Epoch: [68][7320/10010] Time 0.339 (0.326) Data 0.001 (0.001) Loss 1.5023 (1.3979) Prec@1 67.969 (67.703) Prec@5 84.375 (86.356) Epoch: [68][7330/10010] Time 0.313 (0.326) Data 0.001 (0.001) Loss 1.4452 (1.3979) Prec@1 67.188 (67.702) Prec@5 82.812 (86.355) Epoch: [68][7340/10010] Time 0.316 (0.326) Data 0.000 (0.001) Loss 1.2529 (1.3978) Prec@1 73.438 (67.702) Prec@5 89.844 (86.355) Epoch: [68][7350/10010] Time 0.323 (0.326) Data 0.001 (0.001) Loss 1.4450 (1.3978) Prec@1 66.406 (67.702) Prec@5 85.156 (86.357) Epoch: [68][7360/10010] Time 0.319 (0.326) Data 0.000 (0.001) Loss 1.8005 (1.3980) Prec@1 64.062 (67.701) Prec@5 79.688 (86.355) Epoch: [68][7370/10010] Time 0.324 (0.326) Data 0.001 (0.001) Loss 1.6322 (1.3982) Prec@1 60.156 (67.698) Prec@5 83.594 (86.353) Epoch: [68][7380/10010] Time 0.340 (0.326) Data 0.001 (0.001) Loss 1.4859 (1.3981) Prec@1 60.156 (67.695) Prec@5 85.156 (86.354) Epoch: [68][7390/10010] Time 0.337 (0.326) Data 0.001 (0.001) Loss 1.4438 (1.3982) Prec@1 63.281 (67.695) Prec@5 89.844 (86.354) Epoch: [68][7400/10010] Time 0.315 (0.326) Data 0.000 (0.001) Loss 1.4499 (1.3982) Prec@1 67.969 (67.697) Prec@5 83.594 (86.354) Epoch: [68][7410/10010] Time 0.320 (0.326) Data 0.000 (0.001) Loss 1.2803 (1.3982) Prec@1 70.312 (67.695) Prec@5 85.938 (86.353) Epoch: [68][7420/10010] Time 0.322 (0.326) Data 0.000 (0.001) Loss 0.9717 (1.3982) Prec@1 78.125 (67.694) Prec@5 92.188 (86.353) Epoch: [68][7430/10010] Time 0.342 (0.326) Data 0.001 (0.001) Loss 1.1840 (1.3981) Prec@1 71.094 (67.696) Prec@5 88.281 (86.355) Epoch: [68][7440/10010] Time 0.337 (0.326) Data 0.001 (0.001) Loss 1.5842 (1.3981) Prec@1 60.156 (67.695) Prec@5 84.375 (86.355) Epoch: [68][7450/10010] Time 0.340 (0.326) Data 0.001 (0.001) Loss 1.2156 (1.3981) Prec@1 69.531 (67.694) Prec@5 89.062 (86.355) Epoch: [68][7460/10010] Time 0.335 (0.326) Data 0.001 (0.001) Loss 1.5095 (1.3982) Prec@1 67.188 (67.692) Prec@5 82.812 (86.353) Epoch: [68][7470/10010] Time 0.321 (0.326) Data 0.000 (0.001) Loss 1.6565 (1.3983) Prec@1 60.938 (67.690) Prec@5 85.938 (86.352) Epoch: [68][7480/10010] Time 0.323 (0.326) Data 0.000 (0.001) Loss 1.1078 (1.3982) Prec@1 81.250 (67.693) Prec@5 90.625 (86.354) Epoch: [68][7490/10010] Time 0.321 (0.326) Data 0.001 (0.001) Loss 1.4019 (1.3980) Prec@1 67.188 (67.695) Prec@5 85.938 (86.355) Epoch: [68][7500/10010] Time 0.318 (0.326) Data 0.001 (0.001) Loss 1.4245 (1.3979) Prec@1 69.531 (67.695) Prec@5 85.156 (86.356) Epoch: [68][7510/10010] Time 0.340 (0.326) Data 0.000 (0.001) Loss 1.3042 (1.3980) Prec@1 70.312 (67.695) Prec@5 88.281 (86.355) Epoch: [68][7520/10010] Time 0.322 (0.326) Data 0.001 (0.001) Loss 1.3809 (1.3981) Prec@1 67.188 (67.695) Prec@5 85.938 (86.355) Epoch: [68][7530/10010] Time 0.317 (0.326) Data 0.000 (0.001) Loss 1.5120 (1.3980) Prec@1 64.062 (67.694) Prec@5 88.281 (86.357) Epoch: [68][7540/10010] Time 0.339 (0.326) Data 0.001 (0.001) Loss 1.1912 (1.3980) Prec@1 71.875 (67.694) Prec@5 85.156 (86.357) Epoch: [68][7550/10010] Time 0.325 (0.326) Data 0.000 (0.001) Loss 1.6142 (1.3981) Prec@1 64.844 (67.693) Prec@5 82.812 (86.357) Epoch: [68][7560/10010] Time 0.321 (0.326) Data 0.001 (0.001) Loss 1.2740 (1.3981) Prec@1 72.656 (67.693) Prec@5 85.938 (86.357) Epoch: [68][7570/10010] Time 0.315 (0.326) Data 0.001 (0.001) Loss 1.3770 (1.3980) Prec@1 69.531 (67.696) Prec@5 88.281 (86.358) Epoch: [68][7580/10010] Time 0.339 (0.326) Data 0.001 (0.001) Loss 1.1604 (1.3980) Prec@1 74.219 (67.695) Prec@5 90.625 (86.359) Epoch: [68][7590/10010] Time 0.312 (0.326) Data 0.001 (0.001) Loss 1.2806 (1.3980) Prec@1 66.406 (67.695) Prec@5 88.281 (86.359) Epoch: [68][7600/10010] Time 0.318 (0.326) Data 0.001 (0.001) Loss 1.3481 (1.3980) Prec@1 67.969 (67.694) Prec@5 86.719 (86.359) Epoch: [68][7610/10010] Time 0.324 (0.326) Data 0.000 (0.001) Loss 1.4464 (1.3981) Prec@1 66.406 (67.690) Prec@5 86.719 (86.360) Epoch: [68][7620/10010] Time 0.330 (0.326) Data 0.001 (0.001) Loss 1.3611 (1.3982) Prec@1 66.406 (67.689) Prec@5 88.281 (86.359) Epoch: [68][7630/10010] Time 0.339 (0.326) Data 0.001 (0.001) Loss 1.0854 (1.3981) Prec@1 75.781 (67.690) Prec@5 92.188 (86.361) Epoch: [68][7640/10010] Time 0.333 (0.326) Data 0.001 (0.001) Loss 1.2679 (1.3981) Prec@1 70.312 (67.688) Prec@5 89.062 (86.361) Epoch: [68][7650/10010] Time 0.335 (0.326) Data 0.000 (0.001) Loss 1.7663 (1.3983) Prec@1 64.844 (67.686) Prec@5 75.781 (86.358) Epoch: [68][7660/10010] Time 0.322 (0.326) Data 0.000 (0.001) Loss 1.4397 (1.3983) Prec@1 66.406 (67.684) Prec@5 87.500 (86.358) Epoch: [68][7670/10010] Time 0.308 (0.326) Data 0.000 (0.001) Loss 1.4950 (1.3983) Prec@1 66.406 (67.683) Prec@5 85.156 (86.359) Epoch: [68][7680/10010] Time 0.337 (0.326) Data 0.001 (0.001) Loss 1.5438 (1.3983) Prec@1 64.844 (67.684) Prec@5 85.938 (86.360) Epoch: [68][7690/10010] Time 0.336 (0.326) Data 0.000 (0.001) Loss 1.3820 (1.3982) Prec@1 71.875 (67.686) Prec@5 87.500 (86.362) Epoch: [68][7700/10010] Time 0.335 (0.326) Data 0.001 (0.001) Loss 1.4110 (1.3983) Prec@1 66.406 (67.685) Prec@5 85.938 (86.361) Epoch: [68][7710/10010] Time 0.311 (0.326) Data 0.001 (0.001) Loss 1.2888 (1.3983) Prec@1 66.406 (67.684) Prec@5 89.062 (86.362) Epoch: [68][7720/10010] Time 0.318 (0.326) Data 0.000 (0.001) Loss 1.6606 (1.3983) Prec@1 60.938 (67.683) Prec@5 81.250 (86.361) Epoch: [68][7730/10010] Time 0.328 (0.326) Data 0.001 (0.001) Loss 1.4400 (1.3983) Prec@1 60.938 (67.681) Prec@5 85.938 (86.360) Epoch: [68][7740/10010] Time 0.330 (0.326) Data 0.000 (0.001) Loss 1.3383 (1.3984) Prec@1 67.969 (67.680) Prec@5 83.594 (86.358) Epoch: [68][7750/10010] Time 0.320 (0.326) Data 0.001 (0.001) Loss 1.7617 (1.3985) Prec@1 65.625 (67.678) Prec@5 84.375 (86.356) Epoch: [68][7760/10010] Time 0.316 (0.326) Data 0.001 (0.001) Loss 1.4932 (1.3985) Prec@1 70.312 (67.679) Prec@5 82.812 (86.357) Epoch: [68][7770/10010] Time 0.327 (0.326) Data 0.000 (0.001) Loss 1.2979 (1.3984) Prec@1 70.312 (67.681) Prec@5 89.844 (86.359) Epoch: [68][7780/10010] Time 0.322 (0.326) Data 0.001 (0.001) Loss 1.4420 (1.3983) Prec@1 66.406 (67.682) Prec@5 85.938 (86.360) Epoch: [68][7790/10010] Time 0.341 (0.326) Data 0.000 (0.001) Loss 1.2978 (1.3983) Prec@1 65.625 (67.681) Prec@5 86.719 (86.362) Epoch: [68][7800/10010] Time 0.314 (0.326) Data 0.001 (0.001) Loss 1.4001 (1.3984) Prec@1 62.500 (67.677) Prec@5 88.281 (86.360) Epoch: [68][7810/10010] Time 0.330 (0.326) Data 0.000 (0.001) Loss 1.4316 (1.3984) Prec@1 70.312 (67.677) Prec@5 84.375 (86.360) Epoch: [68][7820/10010] Time 0.338 (0.326) Data 0.001 (0.001) Loss 1.5239 (1.3985) Prec@1 67.969 (67.675) Prec@5 85.156 (86.360) Epoch: [68][7830/10010] Time 0.313 (0.326) Data 0.000 (0.001) Loss 1.6397 (1.3985) Prec@1 61.719 (67.673) Prec@5 82.031 (86.360) Epoch: [68][7840/10010] Time 0.319 (0.326) Data 0.000 (0.001) Loss 1.3009 (1.3986) Prec@1 70.312 (67.672) Prec@5 88.281 (86.360) Epoch: [68][7850/10010] Time 0.322 (0.326) Data 0.000 (0.001) Loss 1.3941 (1.3985) Prec@1 67.188 (67.676) Prec@5 88.281 (86.360) Epoch: [68][7860/10010] Time 0.327 (0.326) Data 0.000 (0.001) Loss 1.3152 (1.3984) Prec@1 67.969 (67.678) Prec@5 85.156 (86.362) Epoch: [68][7870/10010] Time 0.324 (0.326) Data 0.001 (0.001) Loss 1.1565 (1.3984) Prec@1 74.219 (67.680) Prec@5 89.844 (86.361) Epoch: [68][7880/10010] Time 0.331 (0.326) Data 0.001 (0.001) Loss 1.1855 (1.3984) Prec@1 71.094 (67.680) Prec@5 88.281 (86.361) Epoch: [68][7890/10010] Time 0.321 (0.326) Data 0.001 (0.001) Loss 1.4644 (1.3983) Prec@1 60.938 (67.681) Prec@5 83.594 (86.362) Epoch: [68][7900/10010] Time 0.321 (0.326) Data 0.001 (0.001) Loss 1.2353 (1.3984) Prec@1 67.969 (67.681) Prec@5 89.844 (86.363) Epoch: [68][7910/10010] Time 0.322 (0.326) Data 0.001 (0.001) Loss 1.1557 (1.3983) Prec@1 74.219 (67.681) Prec@5 89.062 (86.363) Epoch: [68][7920/10010] Time 0.332 (0.326) Data 0.000 (0.001) Loss 1.5685 (1.3983) Prec@1 63.281 (67.682) Prec@5 85.938 (86.365) Epoch: [68][7930/10010] Time 0.324 (0.326) Data 0.001 (0.001) Loss 1.3147 (1.3982) Prec@1 73.438 (67.686) Prec@5 86.719 (86.366) Epoch: [68][7940/10010] Time 0.315 (0.326) Data 0.000 (0.001) Loss 1.4183 (1.3982) Prec@1 67.969 (67.688) Prec@5 83.594 (86.367) Epoch: [68][7950/10010] Time 0.316 (0.326) Data 0.000 (0.001) Loss 1.5748 (1.3983) Prec@1 60.938 (67.683) Prec@5 88.281 (86.364) Epoch: [68][7960/10010] Time 0.331 (0.326) Data 0.000 (0.001) Loss 1.3868 (1.3984) Prec@1 70.312 (67.683) Prec@5 85.156 (86.362) Epoch: [68][7970/10010] Time 0.325 (0.326) Data 0.000 (0.001) Loss 1.3766 (1.3984) Prec@1 69.531 (67.684) Prec@5 85.938 (86.362) Epoch: [68][7980/10010] Time 0.332 (0.326) Data 0.001 (0.001) Loss 1.2278 (1.3985) Prec@1 72.656 (67.684) Prec@5 86.719 (86.360) Epoch: [68][7990/10010] Time 0.318 (0.326) Data 0.001 (0.001) Loss 1.3757 (1.3985) Prec@1 61.719 (67.685) Prec@5 89.062 (86.360) Epoch: [68][8000/10010] Time 0.326 (0.326) Data 0.000 (0.001) Loss 1.4904 (1.3986) Prec@1 69.531 (67.684) Prec@5 85.938 (86.359) Epoch: [68][8010/10010] Time 0.317 (0.326) Data 0.001 (0.001) Loss 1.6199 (1.3985) Prec@1 65.625 (67.685) Prec@5 83.594 (86.359) Epoch: [68][8020/10010] Time 0.311 (0.326) Data 0.001 (0.001) Loss 1.2210 (1.3985) Prec@1 73.438 (67.687) Prec@5 89.062 (86.360) Epoch: [68][8030/10010] Time 0.342 (0.326) Data 0.000 (0.001) Loss 1.1774 (1.3984) Prec@1 67.188 (67.688) Prec@5 91.406 (86.362) Epoch: [68][8040/10010] Time 0.323 (0.326) Data 0.000 (0.001) Loss 1.2913 (1.3983) Prec@1 71.875 (67.690) Prec@5 91.406 (86.362) Epoch: [68][8050/10010] Time 0.318 (0.326) Data 0.001 (0.001) Loss 1.0729 (1.3984) Prec@1 71.875 (67.689) Prec@5 91.406 (86.362) Epoch: [68][8060/10010] Time 0.326 (0.326) Data 0.001 (0.001) Loss 1.7191 (1.3985) Prec@1 67.969 (67.688) Prec@5 81.250 (86.362) Epoch: [68][8070/10010] Time 0.317 (0.326) Data 0.000 (0.001) Loss 1.2063 (1.3984) Prec@1 73.438 (67.689) Prec@5 91.406 (86.364) Epoch: [68][8080/10010] Time 0.343 (0.326) Data 0.000 (0.001) Loss 1.3379 (1.3983) Prec@1 67.188 (67.689) Prec@5 88.281 (86.365) Epoch: [68][8090/10010] Time 0.331 (0.326) Data 0.001 (0.001) Loss 1.2539 (1.3983) Prec@1 70.312 (67.689) Prec@5 88.281 (86.366) Epoch: [68][8100/10010] Time 0.309 (0.326) Data 0.000 (0.001) Loss 1.3878 (1.3983) Prec@1 68.750 (67.690) Prec@5 84.375 (86.366) Epoch: [68][8110/10010] Time 0.340 (0.326) Data 0.001 (0.001) Loss 1.2765 (1.3983) Prec@1 72.656 (67.690) Prec@5 85.938 (86.365) Epoch: [68][8120/10010] Time 0.342 (0.326) Data 0.001 (0.001) Loss 1.4387 (1.3983) Prec@1 64.844 (67.690) Prec@5 85.156 (86.365) Epoch: [68][8130/10010] Time 0.336 (0.326) Data 0.000 (0.001) Loss 1.1255 (1.3983) Prec@1 76.562 (67.689) Prec@5 89.062 (86.366) Epoch: [68][8140/10010] Time 0.316 (0.326) Data 0.001 (0.001) Loss 1.2074 (1.3982) Prec@1 74.219 (67.690) Prec@5 90.625 (86.367) Epoch: [68][8150/10010] Time 0.335 (0.326) Data 0.000 (0.001) Loss 1.2650 (1.3981) Prec@1 69.531 (67.691) Prec@5 89.844 (86.368) Epoch: [68][8160/10010] Time 0.338 (0.326) Data 0.001 (0.001) Loss 1.3378 (1.3982) Prec@1 66.406 (67.690) Prec@5 87.500 (86.368) Epoch: [68][8170/10010] Time 0.320 (0.326) Data 0.001 (0.001) Loss 1.4157 (1.3981) Prec@1 69.531 (67.693) Prec@5 88.281 (86.369) Epoch: [68][8180/10010] Time 0.336 (0.326) Data 0.000 (0.001) Loss 1.4037 (1.3979) Prec@1 68.750 (67.695) Prec@5 86.719 (86.371) Epoch: [68][8190/10010] Time 0.310 (0.326) Data 0.000 (0.001) Loss 1.1419 (1.3979) Prec@1 69.531 (67.695) Prec@5 88.281 (86.370) Epoch: [68][8200/10010] Time 0.331 (0.326) Data 0.001 (0.001) Loss 1.5050 (1.3978) Prec@1 67.188 (67.696) Prec@5 84.375 (86.372) Epoch: [68][8210/10010] Time 0.309 (0.326) Data 0.000 (0.001) Loss 1.8569 (1.3980) Prec@1 58.594 (67.694) Prec@5 80.469 (86.368) Epoch: [68][8220/10010] Time 0.336 (0.326) Data 0.001 (0.001) Loss 1.3021 (1.3980) Prec@1 66.406 (67.694) Prec@5 85.938 (86.367) Epoch: [68][8230/10010] Time 0.341 (0.326) Data 0.000 (0.001) Loss 1.0248 (1.3980) Prec@1 78.125 (67.696) Prec@5 92.188 (86.368) Epoch: [68][8240/10010] Time 0.316 (0.326) Data 0.001 (0.001) Loss 1.3731 (1.3980) Prec@1 69.531 (67.694) Prec@5 88.281 (86.368) Epoch: [68][8250/10010] Time 0.330 (0.326) Data 0.001 (0.001) Loss 1.8398 (1.3981) Prec@1 62.500 (67.692) Prec@5 79.688 (86.367) Epoch: [68][8260/10010] Time 0.319 (0.326) Data 0.001 (0.001) Loss 1.4241 (1.3980) Prec@1 69.531 (67.693) Prec@5 85.938 (86.368) Epoch: [68][8270/10010] Time 0.327 (0.326) Data 0.001 (0.001) Loss 1.5096 (1.3981) Prec@1 67.969 (67.691) Prec@5 85.938 (86.368) Epoch: [68][8280/10010] Time 0.321 (0.326) Data 0.000 (0.001) Loss 1.4803 (1.3982) Prec@1 70.312 (67.688) Prec@5 86.719 (86.367) Epoch: [68][8290/10010] Time 0.323 (0.326) Data 0.001 (0.001) Loss 1.4029 (1.3982) Prec@1 67.188 (67.687) Prec@5 85.156 (86.366) Epoch: [68][8300/10010] Time 0.327 (0.326) Data 0.001 (0.001) Loss 1.2571 (1.3983) Prec@1 71.875 (67.685) Prec@5 88.281 (86.365) Epoch: [68][8310/10010] Time 0.315 (0.326) Data 0.000 (0.001) Loss 1.4135 (1.3983) Prec@1 64.062 (67.684) Prec@5 85.938 (86.364) Epoch: [68][8320/10010] Time 0.323 (0.326) Data 0.001 (0.001) Loss 1.1429 (1.3983) Prec@1 69.531 (67.683) Prec@5 86.719 (86.364) Epoch: [68][8330/10010] Time 0.329 (0.326) Data 0.001 (0.001) Loss 1.2726 (1.3983) Prec@1 71.875 (67.682) Prec@5 89.844 (86.364) Epoch: [68][8340/10010] Time 0.320 (0.326) Data 0.001 (0.001) Loss 1.6382 (1.3983) Prec@1 61.719 (67.682) Prec@5 82.812 (86.364) Epoch: [68][8350/10010] Time 0.339 (0.326) Data 0.000 (0.001) Loss 1.2341 (1.3983) Prec@1 73.438 (67.681) Prec@5 88.281 (86.363) Epoch: [68][8360/10010] Time 0.318 (0.326) Data 0.000 (0.001) Loss 1.4395 (1.3984) Prec@1 67.188 (67.680) Prec@5 85.156 (86.362) Epoch: [68][8370/10010] Time 0.320 (0.326) Data 0.001 (0.001) Loss 1.3009 (1.3983) Prec@1 71.875 (67.681) Prec@5 90.625 (86.364) Epoch: [68][8380/10010] Time 0.321 (0.326) Data 0.001 (0.001) Loss 1.4594 (1.3983) Prec@1 65.625 (67.681) Prec@5 87.500 (86.364) Epoch: [68][8390/10010] Time 0.333 (0.326) Data 0.001 (0.001) Loss 1.3548 (1.3983) Prec@1 67.969 (67.680) Prec@5 89.844 (86.364) Epoch: [68][8400/10010] Time 0.311 (0.326) Data 0.001 (0.001) Loss 1.3543 (1.3983) Prec@1 62.500 (67.681) Prec@5 88.281 (86.364) Epoch: [68][8410/10010] Time 0.322 (0.326) Data 0.001 (0.001) Loss 1.2550 (1.3983) Prec@1 69.531 (67.681) Prec@5 92.969 (86.364) Epoch: [68][8420/10010] Time 0.336 (0.326) Data 0.001 (0.001) Loss 1.4783 (1.3982) Prec@1 67.188 (67.683) Prec@5 85.156 (86.365) Epoch: [68][8430/10010] Time 0.340 (0.326) Data 0.000 (0.001) Loss 1.2687 (1.3982) Prec@1 71.094 (67.683) Prec@5 87.500 (86.365) Epoch: [68][8440/10010] Time 0.313 (0.326) Data 0.001 (0.001) Loss 1.2928 (1.3982) Prec@1 66.406 (67.683) Prec@5 88.281 (86.365) Epoch: [68][8450/10010] Time 0.324 (0.326) Data 0.000 (0.001) Loss 1.6064 (1.3983) Prec@1 64.844 (67.681) Prec@5 80.469 (86.365) Epoch: [68][8460/10010] Time 0.333 (0.326) Data 0.001 (0.001) Loss 1.1973 (1.3982) Prec@1 74.219 (67.685) Prec@5 89.062 (86.367) Epoch: [68][8470/10010] Time 0.328 (0.326) Data 0.000 (0.001) Loss 1.5744 (1.3982) Prec@1 64.844 (67.683) Prec@5 85.156 (86.366) Epoch: [68][8480/10010] Time 0.338 (0.326) Data 0.001 (0.001) Loss 1.2549 (1.3982) Prec@1 75.000 (67.685) Prec@5 87.500 (86.366) Epoch: [68][8490/10010] Time 0.319 (0.326) Data 0.001 (0.001) Loss 1.2330 (1.3982) Prec@1 71.875 (67.683) Prec@5 92.188 (86.367) Epoch: [68][8500/10010] Time 0.319 (0.326) Data 0.001 (0.001) Loss 1.2328 (1.3983) Prec@1 73.438 (67.682) Prec@5 88.281 (86.366) Epoch: [68][8510/10010] Time 0.313 (0.326) Data 0.000 (0.001) Loss 1.4520 (1.3983) Prec@1 71.094 (67.680) Prec@5 89.844 (86.365) Epoch: [68][8520/10010] Time 0.321 (0.326) Data 0.000 (0.001) Loss 1.4335 (1.3983) Prec@1 68.750 (67.681) Prec@5 88.281 (86.366) Epoch: [68][8530/10010] Time 0.315 (0.326) Data 0.001 (0.001) Loss 1.4116 (1.3983) Prec@1 70.312 (67.681) Prec@5 87.500 (86.369) Epoch: [68][8540/10010] Time 0.320 (0.326) Data 0.001 (0.001) Loss 1.2282 (1.3982) Prec@1 74.219 (67.682) Prec@5 89.062 (86.370) Epoch: [68][8550/10010] Time 0.320 (0.326) Data 0.001 (0.001) Loss 1.9993 (1.3983) Prec@1 54.688 (67.679) Prec@5 78.125 (86.369) Epoch: [68][8560/10010] Time 0.333 (0.326) Data 0.001 (0.001) Loss 1.4657 (1.3983) Prec@1 64.844 (67.679) Prec@5 84.375 (86.367) Epoch: [68][8570/10010] Time 0.323 (0.326) Data 0.001 (0.001) Loss 1.3289 (1.3982) Prec@1 69.531 (67.683) Prec@5 89.062 (86.369) Epoch: [68][8580/10010] Time 0.313 (0.326) Data 0.001 (0.001) Loss 1.3652 (1.3982) Prec@1 64.062 (67.682) Prec@5 86.719 (86.371) Epoch: [68][8590/10010] Time 0.321 (0.326) Data 0.001 (0.001) Loss 1.3754 (1.3982) Prec@1 64.844 (67.681) Prec@5 86.719 (86.369) Epoch: [68][8600/10010] Time 0.320 (0.326) Data 0.000 (0.001) Loss 1.5169 (1.3983) Prec@1 65.625 (67.679) Prec@5 82.812 (86.368) Epoch: [68][8610/10010] Time 0.329 (0.326) Data 0.001 (0.001) Loss 1.1466 (1.3983) Prec@1 71.875 (67.679) Prec@5 89.844 (86.368) Epoch: [68][8620/10010] Time 0.318 (0.326) Data 0.001 (0.001) Loss 1.3814 (1.3983) Prec@1 67.188 (67.679) Prec@5 85.938 (86.367) Epoch: [68][8630/10010] Time 0.317 (0.326) Data 0.000 (0.001) Loss 1.2728 (1.3983) Prec@1 75.781 (67.681) Prec@5 89.062 (86.368) Epoch: [68][8640/10010] Time 0.330 (0.326) Data 0.001 (0.001) Loss 1.3193 (1.3983) Prec@1 69.531 (67.682) Prec@5 85.938 (86.369) Epoch: [68][8650/10010] Time 0.322 (0.326) Data 0.000 (0.001) Loss 1.4372 (1.3983) Prec@1 69.531 (67.680) Prec@5 85.156 (86.369) Epoch: [68][8660/10010] Time 0.314 (0.326) Data 0.001 (0.001) Loss 1.4696 (1.3984) Prec@1 66.406 (67.678) Prec@5 85.938 (86.366) Epoch: [68][8670/10010] Time 0.317 (0.326) Data 0.001 (0.001) Loss 1.6219 (1.3984) Prec@1 67.188 (67.680) Prec@5 84.375 (86.366) Epoch: [68][8680/10010] Time 0.325 (0.326) Data 0.000 (0.001) Loss 1.3819 (1.3983) Prec@1 62.500 (67.682) Prec@5 88.281 (86.368) Epoch: [68][8690/10010] Time 0.314 (0.326) Data 0.001 (0.001) Loss 1.3479 (1.3983) Prec@1 64.062 (67.678) Prec@5 89.062 (86.368) Epoch: [68][8700/10010] Time 0.314 (0.326) Data 0.000 (0.001) Loss 1.7284 (1.3984) Prec@1 65.625 (67.679) Prec@5 82.031 (86.367) Epoch: [68][8710/10010] Time 0.335 (0.326) Data 0.000 (0.001) Loss 1.3084 (1.3984) Prec@1 73.438 (67.680) Prec@5 85.938 (86.367) Epoch: [68][8720/10010] Time 0.317 (0.326) Data 0.001 (0.001) Loss 1.5701 (1.3984) Prec@1 61.719 (67.678) Prec@5 85.156 (86.366) Epoch: [68][8730/10010] Time 0.337 (0.326) Data 0.001 (0.001) Loss 1.6030 (1.3984) Prec@1 62.500 (67.678) Prec@5 82.812 (86.365) Epoch: [68][8740/10010] Time 0.334 (0.326) Data 0.000 (0.001) Loss 1.3675 (1.3984) Prec@1 67.969 (67.678) Prec@5 86.719 (86.366) Epoch: [68][8750/10010] Time 0.342 (0.326) Data 0.000 (0.001) Loss 1.3750 (1.3984) Prec@1 71.094 (67.677) Prec@5 85.938 (86.366) Epoch: [68][8760/10010] Time 0.341 (0.326) Data 0.000 (0.001) Loss 1.2481 (1.3983) Prec@1 71.094 (67.679) Prec@5 85.156 (86.365) Epoch: [68][8770/10010] Time 0.318 (0.326) Data 0.001 (0.001) Loss 1.5177 (1.3983) Prec@1 61.719 (67.680) Prec@5 83.594 (86.364) Epoch: [68][8780/10010] Time 0.321 (0.326) Data 0.001 (0.001) Loss 1.4869 (1.3983) Prec@1 67.188 (67.683) Prec@5 85.938 (86.364) Epoch: [68][8790/10010] Time 0.323 (0.326) Data 0.000 (0.001) Loss 1.1423 (1.3983) Prec@1 71.875 (67.683) Prec@5 92.969 (86.364) Epoch: [68][8800/10010] Time 0.337 (0.326) Data 0.001 (0.001) Loss 1.6639 (1.3984) Prec@1 59.375 (67.681) Prec@5 82.812 (86.363) Epoch: [68][8810/10010] Time 0.317 (0.326) Data 0.000 (0.001) Loss 1.5641 (1.3985) Prec@1 64.844 (67.678) Prec@5 86.719 (86.362) Epoch: [68][8820/10010] Time 0.325 (0.326) Data 0.000 (0.001) Loss 1.3375 (1.3985) Prec@1 71.094 (67.679) Prec@5 85.156 (86.361) Epoch: [68][8830/10010] Time 0.317 (0.326) Data 0.001 (0.001) Loss 1.6097 (1.3985) Prec@1 60.156 (67.681) Prec@5 85.156 (86.361) Epoch: [68][8840/10010] Time 0.341 (0.326) Data 0.001 (0.001) Loss 1.4970 (1.3986) Prec@1 64.844 (67.679) Prec@5 84.375 (86.360) Epoch: [68][8850/10010] Time 0.335 (0.326) Data 0.001 (0.001) Loss 1.1250 (1.3986) Prec@1 74.219 (67.678) Prec@5 91.406 (86.359) Epoch: [68][8860/10010] Time 0.312 (0.326) Data 0.001 (0.001) Loss 1.3199 (1.3986) Prec@1 66.406 (67.678) Prec@5 85.938 (86.357) Epoch: [68][8870/10010] Time 0.342 (0.326) Data 0.000 (0.001) Loss 1.3335 (1.3987) Prec@1 70.312 (67.677) Prec@5 86.719 (86.357) Epoch: [68][8880/10010] Time 0.325 (0.326) Data 0.001 (0.001) Loss 1.3274 (1.3986) Prec@1 73.438 (67.678) Prec@5 89.062 (86.357) Epoch: [68][8890/10010] Time 0.322 (0.326) Data 0.000 (0.001) Loss 1.4174 (1.3985) Prec@1 66.406 (67.681) Prec@5 86.719 (86.360) Epoch: [68][8900/10010] Time 0.313 (0.326) Data 0.001 (0.001) Loss 1.6219 (1.3985) Prec@1 64.844 (67.680) Prec@5 82.812 (86.359) Epoch: [68][8910/10010] Time 0.336 (0.326) Data 0.001 (0.001) Loss 1.3366 (1.3985) Prec@1 67.969 (67.681) Prec@5 89.062 (86.361) Epoch: [68][8920/10010] Time 0.318 (0.326) Data 0.001 (0.001) Loss 1.2089 (1.3984) Prec@1 71.094 (67.683) Prec@5 90.625 (86.362) Epoch: [68][8930/10010] Time 0.325 (0.326) Data 0.001 (0.001) Loss 1.1723 (1.3983) Prec@1 76.562 (67.685) Prec@5 86.719 (86.364) Epoch: [68][8940/10010] Time 0.338 (0.326) Data 0.001 (0.001) Loss 1.2871 (1.3983) Prec@1 71.875 (67.687) Prec@5 89.844 (86.365) Epoch: [68][8950/10010] Time 0.321 (0.326) Data 0.000 (0.001) Loss 1.2945 (1.3983) Prec@1 64.062 (67.686) Prec@5 88.281 (86.365) Epoch: [68][8960/10010] Time 0.333 (0.326) Data 0.001 (0.001) Loss 1.5240 (1.3982) Prec@1 60.156 (67.688) Prec@5 84.375 (86.365) Epoch: [68][8970/10010] Time 0.340 (0.326) Data 0.000 (0.001) Loss 1.4809 (1.3982) Prec@1 63.281 (67.688) Prec@5 83.594 (86.367) Epoch: [68][8980/10010] Time 0.329 (0.326) Data 0.001 (0.001) Loss 1.2918 (1.3981) Prec@1 70.312 (67.689) Prec@5 85.938 (86.368) Epoch: [68][8990/10010] Time 0.336 (0.326) Data 0.000 (0.001) Loss 1.7161 (1.3983) Prec@1 59.375 (67.686) Prec@5 82.031 (86.365) Epoch: [68][9000/10010] Time 0.332 (0.326) Data 0.001 (0.001) Loss 1.6792 (1.3982) Prec@1 62.500 (67.687) Prec@5 80.469 (86.365) Epoch: [68][9010/10010] Time 0.330 (0.326) Data 0.001 (0.001) Loss 1.5048 (1.3982) Prec@1 64.844 (67.687) Prec@5 84.375 (86.365) Epoch: [68][9020/10010] Time 0.340 (0.326) Data 0.000 (0.001) Loss 1.0713 (1.3981) Prec@1 73.438 (67.689) Prec@5 90.625 (86.365) Epoch: [68][9030/10010] Time 0.325 (0.326) Data 0.000 (0.001) Loss 1.4195 (1.3981) Prec@1 67.969 (67.689) Prec@5 85.156 (86.366) Epoch: [68][9040/10010] Time 0.317 (0.326) Data 0.001 (0.001) Loss 1.4189 (1.3981) Prec@1 66.406 (67.688) Prec@5 84.375 (86.365) Epoch: [68][9050/10010] Time 0.344 (0.326) Data 0.001 (0.001) Loss 1.4645 (1.3980) Prec@1 64.844 (67.690) Prec@5 83.594 (86.366) Epoch: [68][9060/10010] Time 0.319 (0.326) Data 0.000 (0.001) Loss 1.5998 (1.3980) Prec@1 65.625 (67.690) Prec@5 79.688 (86.366) Epoch: [68][9070/10010] Time 0.329 (0.326) Data 0.001 (0.001) Loss 1.5192 (1.3980) Prec@1 64.844 (67.691) Prec@5 83.594 (86.366) Epoch: [68][9080/10010] Time 0.310 (0.326) Data 0.001 (0.001) Loss 1.5898 (1.3979) Prec@1 61.719 (67.690) Prec@5 84.375 (86.366) Epoch: [68][9090/10010] Time 0.320 (0.326) Data 0.000 (0.001) Loss 1.0843 (1.3979) Prec@1 72.656 (67.690) Prec@5 91.406 (86.367) Epoch: [68][9100/10010] Time 0.323 (0.326) Data 0.000 (0.001) Loss 1.5299 (1.3980) Prec@1 64.062 (67.687) Prec@5 82.031 (86.365) Epoch: [68][9110/10010] Time 0.322 (0.326) Data 0.001 (0.001) Loss 1.2637 (1.3980) Prec@1 67.969 (67.684) Prec@5 88.281 (86.364) Epoch: [68][9120/10010] Time 0.323 (0.326) Data 0.001 (0.001) Loss 1.2910 (1.3981) Prec@1 72.656 (67.684) Prec@5 91.406 (86.363) Epoch: [68][9130/10010] Time 0.314 (0.326) Data 0.000 (0.001) Loss 1.4781 (1.3982) Prec@1 67.188 (67.684) Prec@5 84.375 (86.361) Epoch: [68][9140/10010] Time 0.320 (0.326) Data 0.000 (0.001) Loss 1.5463 (1.3982) Prec@1 63.281 (67.683) Prec@5 85.156 (86.360) Epoch: [68][9150/10010] Time 0.324 (0.326) Data 0.001 (0.001) Loss 1.2861 (1.3982) Prec@1 66.406 (67.682) Prec@5 87.500 (86.360) Epoch: [68][9160/10010] Time 0.319 (0.326) Data 0.000 (0.001) Loss 1.3729 (1.3982) Prec@1 69.531 (67.680) Prec@5 87.500 (86.361) Epoch: [68][9170/10010] Time 0.337 (0.326) Data 0.001 (0.001) Loss 1.5074 (1.3982) Prec@1 66.406 (67.681) Prec@5 85.938 (86.361) Epoch: [68][9180/10010] Time 0.330 (0.326) Data 0.001 (0.001) Loss 1.4160 (1.3981) Prec@1 64.844 (67.682) Prec@5 85.156 (86.362) Epoch: [68][9190/10010] Time 0.317 (0.326) Data 0.001 (0.001) Loss 1.5164 (1.3981) Prec@1 66.406 (67.682) Prec@5 83.594 (86.362) Epoch: [68][9200/10010] Time 0.330 (0.326) Data 0.000 (0.001) Loss 1.5749 (1.3982) Prec@1 67.969 (67.681) Prec@5 84.375 (86.361) Epoch: [68][9210/10010] Time 0.329 (0.326) Data 0.001 (0.001) Loss 1.2491 (1.3982) Prec@1 67.969 (67.679) Prec@5 86.719 (86.360) Epoch: [68][9220/10010] Time 0.319 (0.326) Data 0.000 (0.001) Loss 1.5666 (1.3982) Prec@1 66.406 (67.677) Prec@5 85.156 (86.360) Epoch: [68][9230/10010] Time 0.319 (0.326) Data 0.001 (0.001) Loss 1.1986 (1.3982) Prec@1 77.344 (67.678) Prec@5 90.625 (86.360) Epoch: [68][9240/10010] Time 0.329 (0.326) Data 0.001 (0.001) Loss 1.5072 (1.3982) Prec@1 64.062 (67.676) Prec@5 87.500 (86.361) Epoch: [68][9250/10010] Time 0.330 (0.326) Data 0.001 (0.001) Loss 1.3025 (1.3982) Prec@1 65.625 (67.677) Prec@5 87.500 (86.362) Epoch: [68][9260/10010] Time 0.318 (0.326) Data 0.000 (0.001) Loss 1.3965 (1.3981) Prec@1 70.312 (67.678) Prec@5 84.375 (86.362) Epoch: [68][9270/10010] Time 0.323 (0.326) Data 0.001 (0.001) Loss 1.7619 (1.3982) Prec@1 61.719 (67.677) Prec@5 78.125 (86.362) Epoch: [68][9280/10010] Time 0.316 (0.326) Data 0.001 (0.001) Loss 1.2001 (1.3982) Prec@1 71.094 (67.676) Prec@5 90.625 (86.363) Epoch: [68][9290/10010] Time 0.338 (0.326) Data 0.000 (0.001) Loss 1.6932 (1.3982) Prec@1 57.812 (67.673) Prec@5 85.938 (86.363) Epoch: [68][9300/10010] Time 0.321 (0.326) Data 0.001 (0.001) Loss 1.3694 (1.3982) Prec@1 71.875 (67.674) Prec@5 83.594 (86.363) Epoch: [68][9310/10010] Time 0.319 (0.326) Data 0.001 (0.001) Loss 1.5089 (1.3982) Prec@1 67.969 (67.674) Prec@5 85.156 (86.362) Epoch: [68][9320/10010] Time 0.335 (0.326) Data 0.001 (0.001) Loss 1.7577 (1.3983) Prec@1 54.688 (67.671) Prec@5 80.469 (86.361) Epoch: [68][9330/10010] Time 0.332 (0.326) Data 0.001 (0.001) Loss 1.4841 (1.3983) Prec@1 65.625 (67.670) Prec@5 89.062 (86.361) Epoch: [68][9340/10010] Time 0.320 (0.326) Data 0.000 (0.001) Loss 1.3996 (1.3983) Prec@1 65.625 (67.671) Prec@5 85.938 (86.362) Epoch: [68][9350/10010] Time 0.334 (0.326) Data 0.001 (0.001) Loss 1.6633 (1.3983) Prec@1 61.719 (67.671) Prec@5 83.594 (86.361) Epoch: [68][9360/10010] Time 0.320 (0.326) Data 0.000 (0.001) Loss 1.4971 (1.3983) Prec@1 61.719 (67.671) Prec@5 86.719 (86.361) Epoch: [68][9370/10010] Time 0.317 (0.326) Data 0.000 (0.001) Loss 1.3625 (1.3983) Prec@1 69.531 (67.672) Prec@5 87.500 (86.362) Epoch: [68][9380/10010] Time 0.330 (0.326) Data 0.000 (0.001) Loss 1.5403 (1.3983) Prec@1 67.188 (67.670) Prec@5 82.031 (86.361) Epoch: [68][9390/10010] Time 0.333 (0.326) Data 0.001 (0.001) Loss 1.1465 (1.3983) Prec@1 69.531 (67.669) Prec@5 89.844 (86.361) Epoch: [68][9400/10010] Time 0.335 (0.326) Data 0.001 (0.001) Loss 1.4785 (1.3983) Prec@1 61.719 (67.668) Prec@5 89.062 (86.362) Epoch: [68][9410/10010] Time 0.329 (0.326) Data 0.001 (0.001) Loss 1.3681 (1.3983) Prec@1 68.750 (67.668) Prec@5 89.844 (86.362) Epoch: [68][9420/10010] Time 0.335 (0.326) Data 0.001 (0.001) Loss 1.2040 (1.3982) Prec@1 72.656 (67.669) Prec@5 89.062 (86.364) Epoch: [68][9430/10010] Time 0.342 (0.326) Data 0.001 (0.001) Loss 1.5684 (1.3983) Prec@1 64.844 (67.667) Prec@5 82.031 (86.362) Epoch: [68][9440/10010] Time 0.322 (0.326) Data 0.001 (0.001) Loss 1.6062 (1.3984) Prec@1 66.406 (67.666) Prec@5 82.031 (86.361) /data/vision/torralba/deepscene/lib/anaconda2/lib/python2.7/site-packages/PIL/TiffImagePlugin.py:709: UserWarning: Corrupt EXIF data. Expecting to read 4 bytes but only got 0. warnings.warn(str(msg)) Epoch: [68][9450/10010] Time 0.338 (0.326) Data 0.001 (0.001) Loss 1.3343 (1.3983) Prec@1 67.188 (67.668) Prec@5 85.938 (86.361) Epoch: [68][9460/10010] Time 0.336 (0.326) Data 0.001 (0.001) Loss 1.4603 (1.3983) Prec@1 67.969 (67.669) Prec@5 82.812 (86.361) Epoch: [68][9470/10010] Time 0.316 (0.326) Data 0.001 (0.001) Loss 1.3818 (1.3983) Prec@1 62.500 (67.667) Prec@5 87.500 (86.362) Epoch: [68][9480/10010] Time 0.336 (0.326) Data 0.001 (0.001) Loss 1.1827 (1.3982) Prec@1 67.969 (67.666) Prec@5 89.844 (86.361) Epoch: [68][9490/10010] Time 0.321 (0.326) Data 0.000 (0.001) Loss 1.5645 (1.3983) Prec@1 62.500 (67.664) Prec@5 82.031 (86.361) Epoch: [68][9500/10010] Time 0.320 (0.326) Data 0.000 (0.001) Loss 1.2236 (1.3982) Prec@1 71.094 (67.662) Prec@5 88.281 (86.361) Epoch: [68][9510/10010] Time 0.316 (0.326) Data 0.000 (0.001) Loss 1.5323 (1.3983) Prec@1 67.969 (67.661) Prec@5 86.719 (86.361) Epoch: [68][9520/10010] Time 0.328 (0.326) Data 0.001 (0.001) Loss 1.3568 (1.3984) Prec@1 69.531 (67.660) Prec@5 86.719 (86.360) Epoch: [68][9530/10010] Time 0.317 (0.326) Data 0.001 (0.001) Loss 1.3026 (1.3983) Prec@1 67.969 (67.662) Prec@5 85.156 (86.361) Epoch: [68][9540/10010] Time 0.336 (0.326) Data 0.000 (0.001) Loss 1.4636 (1.3983) Prec@1 64.062 (67.662) Prec@5 85.156 (86.360) Epoch: [68][9550/10010] Time 0.317 (0.326) Data 0.001 (0.001) Loss 1.1218 (1.3983) Prec@1 75.781 (67.663) Prec@5 91.406 (86.361) Epoch: [68][9560/10010] Time 0.321 (0.326) Data 0.001 (0.001) Loss 1.3823 (1.3982) Prec@1 71.094 (67.665) Prec@5 88.281 (86.361) Epoch: [68][9570/10010] Time 0.324 (0.326) Data 0.000 (0.001) Loss 1.0723 (1.3983) Prec@1 75.000 (67.664) Prec@5 89.844 (86.359) Epoch: [68][9580/10010] Time 0.339 (0.326) Data 0.000 (0.001) Loss 1.2050 (1.3982) Prec@1 67.969 (67.665) Prec@5 87.500 (86.360) Epoch: [68][9590/10010] Time 0.318 (0.326) Data 0.001 (0.001) Loss 1.3654 (1.3982) Prec@1 67.188 (67.665) Prec@5 83.594 (86.360) Epoch: [68][9600/10010] Time 0.336 (0.326) Data 0.001 (0.001) Loss 1.2976 (1.3982) Prec@1 67.969 (67.663) Prec@5 88.281 (86.360) Epoch: [68][9610/10010] Time 0.320 (0.326) Data 0.001 (0.001) Loss 1.3747 (1.3982) Prec@1 65.625 (67.662) Prec@5 89.062 (86.361) Epoch: [68][9620/10010] Time 0.321 (0.326) Data 0.000 (0.001) Loss 1.5755 (1.3981) Prec@1 67.188 (67.663) Prec@5 80.469 (86.362) Epoch: [68][9630/10010] Time 0.319 (0.326) Data 0.001 (0.001) Loss 1.4175 (1.3982) Prec@1 66.406 (67.662) Prec@5 86.719 (86.361) Epoch: [68][9640/10010] Time 0.315 (0.326) Data 0.001 (0.001) Loss 1.0819 (1.3983) Prec@1 74.219 (67.659) Prec@5 91.406 (86.358) Epoch: [68][9650/10010] Time 0.325 (0.326) Data 0.001 (0.001) Loss 1.4146 (1.3982) Prec@1 70.312 (67.661) Prec@5 84.375 (86.360) Epoch: [68][9660/10010] Time 0.311 (0.326) Data 0.001 (0.001) Loss 1.5179 (1.3983) Prec@1 63.281 (67.659) Prec@5 84.375 (86.359) Epoch: [68][9670/10010] Time 0.337 (0.326) Data 0.001 (0.001) Loss 1.3854 (1.3983) Prec@1 72.656 (67.659) Prec@5 88.281 (86.359) Epoch: [68][9680/10010] Time 0.314 (0.326) Data 0.000 (0.001) Loss 1.4384 (1.3983) Prec@1 66.406 (67.658) Prec@5 85.156 (86.358) Epoch: [68][9690/10010] Time 0.326 (0.326) Data 0.000 (0.001) Loss 1.3283 (1.3983) Prec@1 65.625 (67.659) Prec@5 87.500 (86.359) Epoch: [68][9700/10010] Time 0.312 (0.326) Data 0.000 (0.001) Loss 1.4507 (1.3983) Prec@1 65.625 (67.659) Prec@5 85.156 (86.359) Epoch: [68][9710/10010] Time 0.322 (0.326) Data 0.001 (0.001) Loss 1.4525 (1.3983) Prec@1 65.625 (67.657) Prec@5 84.375 (86.358) Epoch: [68][9720/10010] Time 0.331 (0.326) Data 0.001 (0.001) Loss 1.7820 (1.3984) Prec@1 56.250 (67.656) Prec@5 81.250 (86.358) Epoch: [68][9730/10010] Time 0.325 (0.326) Data 0.001 (0.001) Loss 1.3578 (1.3984) Prec@1 63.281 (67.655) Prec@5 87.500 (86.358) Epoch: [68][9740/10010] Time 0.323 (0.326) Data 0.001 (0.001) Loss 1.5219 (1.3983) Prec@1 69.531 (67.656) Prec@5 85.938 (86.359) Epoch: [68][9750/10010] Time 0.317 (0.326) Data 0.001 (0.001) Loss 1.6496 (1.3984) Prec@1 59.375 (67.655) Prec@5 85.938 (86.359) Epoch: [68][9760/10010] Time 0.323 (0.326) Data 0.001 (0.001) Loss 1.3175 (1.3984) Prec@1 71.875 (67.655) Prec@5 86.719 (86.358) Epoch: [68][9770/10010] Time 0.316 (0.326) Data 0.000 (0.001) Loss 1.1968 (1.3984) Prec@1 69.531 (67.655) Prec@5 89.844 (86.359) Epoch: [68][9780/10010] Time 0.323 (0.326) Data 0.000 (0.001) Loss 1.4154 (1.3984) Prec@1 69.531 (67.654) Prec@5 88.281 (86.359) Epoch: [68][9790/10010] Time 0.321 (0.326) Data 0.001 (0.001) Loss 1.4484 (1.3983) Prec@1 63.281 (67.656) Prec@5 87.500 (86.359) Epoch: [68][9800/10010] Time 0.336 (0.326) Data 0.001 (0.001) Loss 1.6349 (1.3983) Prec@1 66.406 (67.656) Prec@5 82.812 (86.359) Epoch: [68][9810/10010] Time 0.315 (0.326) Data 0.000 (0.001) Loss 1.5905 (1.3984) Prec@1 60.938 (67.653) Prec@5 79.688 (86.356) Epoch: [68][9820/10010] Time 0.325 (0.326) Data 0.000 (0.001) Loss 1.3853 (1.3985) Prec@1 69.531 (67.652) Prec@5 87.500 (86.355) Epoch: [68][9830/10010] Time 0.318 (0.326) Data 0.001 (0.001) Loss 1.4024 (1.3985) Prec@1 71.094 (67.652) Prec@5 85.938 (86.355) Epoch: [68][9840/10010] Time 0.322 (0.326) Data 0.001 (0.001) Loss 1.3377 (1.3985) Prec@1 68.750 (67.652) Prec@5 85.938 (86.355) Epoch: [68][9850/10010] Time 0.338 (0.326) Data 0.001 (0.001) Loss 1.2604 (1.3984) Prec@1 68.750 (67.653) Prec@5 89.844 (86.355) Epoch: [68][9860/10010] Time 0.318 (0.326) Data 0.000 (0.001) Loss 1.7557 (1.3985) Prec@1 60.938 (67.652) Prec@5 81.250 (86.355) Epoch: [68][9870/10010] Time 0.320 (0.326) Data 0.000 (0.001) Loss 1.4060 (1.3986) Prec@1 67.969 (67.649) Prec@5 85.156 (86.353) Epoch: [68][9880/10010] Time 0.316 (0.326) Data 0.001 (0.001) Loss 1.5587 (1.3986) Prec@1 66.406 (67.648) Prec@5 82.812 (86.353) Epoch: [68][9890/10010] Time 0.332 (0.326) Data 0.001 (0.001) Loss 1.2491 (1.3986) Prec@1 69.531 (67.648) Prec@5 87.500 (86.353) Epoch: [68][9900/10010] Time 0.319 (0.326) Data 0.000 (0.001) Loss 1.5883 (1.3987) Prec@1 61.719 (67.646) Prec@5 81.250 (86.351) Epoch: [68][9910/10010] Time 0.322 (0.326) Data 0.000 (0.001) Loss 1.4218 (1.3987) Prec@1 69.531 (67.646) Prec@5 87.500 (86.352) Epoch: [68][9920/10010] Time 0.336 (0.326) Data 0.001 (0.001) Loss 1.6884 (1.3988) Prec@1 64.062 (67.646) Prec@5 80.469 (86.350) Epoch: [68][9930/10010] Time 0.317 (0.326) Data 0.000 (0.001) Loss 1.3511 (1.3988) Prec@1 72.656 (67.647) Prec@5 87.500 (86.349) Epoch: [68][9940/10010] Time 0.335 (0.326) Data 0.000 (0.001) Loss 1.3510 (1.3989) Prec@1 73.438 (67.646) Prec@5 88.281 (86.349) Epoch: [68][9950/10010] Time 0.339 (0.326) Data 0.000 (0.001) Loss 1.4223 (1.3989) Prec@1 69.531 (67.644) Prec@5 85.938 (86.349) Epoch: [68][9960/10010] Time 0.320 (0.326) Data 0.001 (0.001) Loss 1.1713 (1.3989) Prec@1 67.969 (67.643) Prec@5 89.062 (86.348) Epoch: [68][9970/10010] Time 0.336 (0.326) Data 0.001 (0.001) Loss 1.3626 (1.3989) Prec@1 67.969 (67.644) Prec@5 87.500 (86.349) Epoch: [68][9980/10010] Time 0.329 (0.326) Data 0.000 (0.001) Loss 1.2635 (1.3990) Prec@1 72.656 (67.642) Prec@5 88.281 (86.349) Epoch: [68][9990/10010] Time 0.334 (0.326) Data 0.000 (0.001) Loss 1.1580 (1.3989) Prec@1 67.188 (67.643) Prec@5 90.625 (86.349) Epoch: [68][10000/10010] Time 0.309 (0.326) Data 0.000 (0.001) Loss 1.4968 (1.3989) Prec@1 65.625 (67.643) Prec@5 82.031 (86.349) Test: [0/391] Time 1.280 (1.280) Loss 0.7148 (0.7148) Prec@1 83.594 (83.594) Prec@5 95.312 (95.312) Test: [10/391] Time 0.095 (0.237) Loss 1.2185 (0.6424) Prec@1 71.094 (85.014) Prec@5 90.625 (95.597) Test: [20/391] Time 0.100 (0.173) Loss 0.7901 (0.8963) Prec@1 78.125 (77.716) Prec@5 92.188 (93.080) Test: [30/391] Time 0.104 (0.152) Loss 1.5833 (1.0138) Prec@1 67.969 (74.395) Prec@5 86.719 (92.263) Test: [40/391] Time 0.101 (0.140) Loss 0.8976 (0.9118) Prec@1 78.125 (76.944) Prec@5 89.844 (93.045) Test: [50/391] Time 0.100 (0.133) Loss 0.5219 (0.9375) Prec@1 85.938 (76.685) Prec@5 97.656 (92.632) Test: [60/391] Time 0.103 (0.130) Loss 1.0078 (0.8894) Prec@1 75.000 (77.792) Prec@5 92.188 (93.084) Test: [70/391] Time 0.115 (0.126) Loss 1.1051 (0.9156) Prec@1 68.750 (76.904) Prec@5 95.312 (93.101) Test: [80/391] Time 0.109 (0.124) Loss 0.9359 (0.9334) Prec@1 73.438 (76.003) Prec@5 93.750 (93.065) Test: [90/391] Time 0.114 (0.122) Loss 1.0305 (0.9376) Prec@1 63.281 (75.867) Prec@5 96.094 (93.140) Test: [100/391] Time 0.104 (0.121) Loss 0.6358 (0.9291) Prec@1 82.812 (75.704) Prec@5 97.656 (93.371) Test: [110/391] Time 0.108 (0.120) Loss 1.2842 (0.9349) Prec@1 52.344 (75.373) Prec@5 93.750 (93.419) Test: [120/391] Time 0.101 (0.118) Loss 0.7075 (0.9287) Prec@1 82.031 (75.697) Prec@5 97.656 (93.537) Test: [130/391] Time 0.105 (0.118) Loss 0.4427 (0.9213) Prec@1 90.625 (76.032) Prec@5 96.875 (93.601) Test: [140/391] Time 0.104 (0.117) Loss 1.3061 (0.9224) Prec@1 62.500 (75.898) Prec@5 90.625 (93.634) Test: [150/391] Time 0.108 (0.116) Loss 0.8285 (0.9272) Prec@1 73.438 (75.880) Prec@5 95.312 (93.486) Test: [160/391] Time 0.109 (0.116) Loss 1.0643 (0.9328) Prec@1 67.969 (75.747) Prec@5 91.406 (93.415) Test: [170/391] Time 0.106 (0.116) Loss 1.6311 (0.9630) Prec@1 62.500 (75.174) Prec@5 86.719 (93.056) Test: [180/391] Time 0.100 (0.115) Loss 1.8831 (0.9956) Prec@1 56.250 (74.512) Prec@5 85.938 (92.641) Test: [190/391] Time 0.106 (0.115) Loss 2.0930 (1.0289) Prec@1 55.469 (73.818) Prec@5 82.812 (92.232) Test: [200/391] Time 0.110 (0.115) Loss 1.1830 (1.0577) Prec@1 69.531 (73.259) Prec@5 90.625 (91.861) Test: [210/391] Time 0.105 (0.114) Loss 1.5395 (1.0760) Prec@1 64.844 (72.890) Prec@5 86.719 (91.632) Test: [220/391] Time 0.106 (0.114) Loss 0.6313 (1.0872) Prec@1 83.594 (72.716) Prec@5 96.094 (91.406) Test: [230/391] Time 0.107 (0.113) Loss 1.9670 (1.1017) Prec@1 55.469 (72.491) Prec@5 82.812 (91.227) Test: [240/391] Time 0.102 (0.113) Loss 1.2711 (1.1104) Prec@1 76.562 (72.410) Prec@5 87.500 (91.085) Test: [250/391] Time 0.114 (0.113) Loss 0.9097 (1.1352) Prec@1 75.781 (71.769) Prec@5 92.188 (90.796) Test: [260/391] Time 0.104 (0.113) Loss 1.4502 (1.1512) Prec@1 64.062 (71.414) Prec@5 85.938 (90.589) Test: [270/391] Time 0.111 (0.113) Loss 2.0031 (1.1612) Prec@1 52.344 (71.186) Prec@5 82.812 (90.440) Test: [280/391] Time 0.114 (0.112) Loss 1.3324 (1.1691) Prec@1 63.281 (71.069) Prec@5 90.625 (90.325) Test: [290/391] Time 0.103 (0.113) Loss 1.6421 (1.1806) Prec@1 51.562 (70.833) Prec@5 88.281 (90.136) Test: [300/391] Time 0.103 (0.112) Loss 1.2766 (1.1907) Prec@1 75.000 (70.634) Prec@5 88.281 (89.997) Test: [310/391] Time 0.111 (0.112) Loss 1.4949 (1.1999) Prec@1 70.312 (70.516) Prec@5 83.594 (89.836) Test: [320/391] Time 0.110 (0.112) Loss 0.8464 (1.2076) Prec@1 82.812 (70.400) Prec@5 92.969 (89.749) Test: [330/391] Time 0.113 (0.112) Loss 1.9738 (1.2274) Prec@1 57.031 (69.987) Prec@5 78.906 (89.492) Test: [340/391] Time 0.101 (0.112) Loss 1.2557 (1.2332) Prec@1 60.156 (69.820) Prec@5 94.531 (89.424) Test: [350/391] Time 0.103 (0.112) Loss 1.2057 (1.2372) Prec@1 74.219 (69.734) Prec@5 91.406 (89.352) Test: [360/391] Time 0.102 (0.112) Loss 1.4986 (1.2459) Prec@1 55.469 (69.557) Prec@5 89.844 (89.296) Test: [370/391] Time 0.108 (0.111) Loss 1.0632 (1.2405) Prec@1 67.969 (69.605) Prec@5 94.531 (89.366) Test: [380/391] Time 0.101 (0.111) Loss 1.0949 (1.2428) Prec@1 76.562 (69.570) Prec@5 92.969 (89.339) Test: [390/391] Time 0.072 (0.111) Loss 2.0441 (1.2362) Prec@1 45.000 (69.746) Prec@5 82.500 (89.418) * Prec@1 69.746 Prec@5 89.418 Epoch: [69][0/10010] Time 2.591 (2.591) Data 2.386 (2.386) Loss 1.1877 (1.1877) Prec@1 71.875 (71.875) Prec@5 88.281 (88.281) Epoch: [69][10/10010] Time 0.315 (0.522) Data 0.001 (0.222) Loss 1.3993 (1.3252) Prec@1 65.625 (68.821) Prec@5 85.156 (87.429) Epoch: [69][20/10010] Time 0.322 (0.425) Data 0.000 (0.116) Loss 1.3375 (1.3175) Prec@1 67.188 (69.382) Prec@5 89.844 (87.574) Epoch: [69][30/10010] Time 0.318 (0.390) Data 0.001 (0.079) Loss 1.2938 (1.3324) Prec@1 67.188 (68.952) Prec@5 85.938 (87.021) Epoch: [69][40/10010] Time 0.329 (0.373) Data 0.001 (0.060) Loss 1.4406 (1.3669) Prec@1 68.750 (68.369) Prec@5 85.938 (86.681) Epoch: [69][50/10010] Time 0.322 (0.363) Data 0.001 (0.048) Loss 1.1659 (1.3599) Prec@1 70.312 (68.444) Prec@5 88.281 (86.949) Epoch: [69][60/10010] Time 0.319 (0.358) Data 0.001 (0.040) Loss 1.5033 (1.3531) Prec@1 63.281 (68.468) Prec@5 84.375 (87.090) Epoch: [69][70/10010] Time 0.320 (0.352) Data 0.001 (0.035) Loss 1.5874 (1.3742) Prec@1 60.938 (67.936) Prec@5 83.594 (86.686) Epoch: [69][80/10010] Time 0.333 (0.348) Data 0.001 (0.031) Loss 1.4907 (1.3782) Prec@1 64.844 (67.882) Prec@5 85.156 (86.622) Epoch: [69][90/10010] Time 0.328 (0.346) Data 0.001 (0.027) Loss 1.3774 (1.3738) Prec@1 67.188 (68.089) Prec@5 81.250 (86.745) Epoch: [69][100/10010] Time 0.328 (0.344) Data 0.000 (0.025) Loss 1.0153 (1.3638) Prec@1 75.781 (68.286) Prec@5 90.625 (86.850) Epoch: [69][110/10010] Time 0.340 (0.343) Data 0.001 (0.023) Loss 1.4109 (1.3674) Prec@1 71.875 (68.271) Prec@5 88.281 (86.916) Epoch: [69][120/10010] Time 0.318 (0.341) Data 0.001 (0.021) Loss 1.3655 (1.3659) Prec@1 71.875 (68.304) Prec@5 87.500 (86.990) Epoch: [69][130/10010] Time 0.319 (0.340) Data 0.001 (0.019) Loss 1.1674 (1.3734) Prec@1 71.875 (68.034) Prec@5 90.625 (86.868) Epoch: [69][140/10010] Time 0.330 (0.339) Data 0.001 (0.018) Loss 1.6101 (1.3703) Prec@1 59.375 (68.030) Prec@5 83.594 (86.990) Epoch: [69][150/10010] Time 0.326 (0.338) Data 0.001 (0.017) Loss 1.3822 (1.3691) Prec@1 67.969 (67.958) Prec@5 88.281 (87.034) Epoch: [69][160/10010] Time 0.320 (0.337) Data 0.001 (0.016) Loss 1.2029 (1.3724) Prec@1 72.656 (67.940) Prec@5 89.844 (86.966) Epoch: [69][170/10010] Time 0.313 (0.336) Data 0.000 (0.015) Loss 1.2318 (1.3750) Prec@1 68.750 (67.836) Prec@5 87.500 (86.901) Epoch: [69][180/10010] Time 0.337 (0.336) Data 0.000 (0.014) Loss 1.1098 (1.3736) Prec@1 77.344 (67.891) Prec@5 90.625 (86.900) Epoch: [69][190/10010] Time 0.320 (0.336) Data 0.001 (0.013) Loss 1.3655 (1.3736) Prec@1 65.625 (67.952) Prec@5 84.375 (86.911) Epoch: [69][200/10010] Time 0.314 (0.335) Data 0.001 (0.013) Loss 1.7385 (1.3768) Prec@1 55.469 (67.879) Prec@5 83.594 (86.890) Epoch: [69][210/10010] Time 0.312 (0.335) Data 0.001 (0.012) Loss 1.3704 (1.3757) Prec@1 67.969 (67.891) Prec@5 85.938 (86.859) Epoch: [69][220/10010] Time 0.328 (0.334) Data 0.001 (0.012) Loss 1.5539 (1.3759) Prec@1 66.406 (67.902) Prec@5 83.594 (86.892) Epoch: [69][230/10010] Time 0.336 (0.334) Data 0.001 (0.011) Loss 1.6597 (1.3746) Prec@1 61.719 (67.992) Prec@5 80.469 (86.864) Epoch: [69][240/10010] Time 0.333 (0.334) Data 0.001 (0.011) Loss 1.3647 (1.3745) Prec@1 71.875 (68.014) Prec@5 89.844 (86.845) Epoch: [69][250/10010] Time 0.315 (0.333) Data 0.001 (0.010) Loss 1.1326 (1.3740) Prec@1 72.656 (68.031) Prec@5 89.844 (86.856) Epoch: [69][260/10010] Time 0.325 (0.333) Data 0.001 (0.010) Loss 1.3897 (1.3748) Prec@1 72.656 (68.044) Prec@5 83.594 (86.832) Epoch: [69][270/10010] Time 0.329 (0.332) Data 0.000 (0.010) Loss 1.4169 (1.3770) Prec@1 66.406 (67.986) Prec@5 85.938 (86.799) Epoch: [69][280/10010] Time 0.317 (0.332) Data 0.001 (0.009) Loss 1.5768 (1.3756) Prec@1 66.406 (68.041) Prec@5 81.250 (86.797) Epoch: [69][290/10010] Time 0.316 (0.332) Data 0.001 (0.009) Loss 1.3359 (1.3747) Prec@1 71.094 (68.079) Prec@5 88.281 (86.794) Epoch: [69][300/10010] Time 0.324 (0.331) Data 0.000 (0.009) Loss 1.3574 (1.3766) Prec@1 67.188 (68.052) Prec@5 89.062 (86.747) Epoch: [69][310/10010] Time 0.307 (0.331) Data 0.001 (0.008) Loss 1.2837 (1.3780) Prec@1 64.062 (68.009) Prec@5 87.500 (86.729) Epoch: [69][320/10010] Time 0.322 (0.331) Data 0.001 (0.008) Loss 1.1383 (1.3778) Prec@1 72.656 (67.976) Prec@5 87.500 (86.714) Epoch: [69][330/10010] Time 0.317 (0.331) Data 0.000 (0.008) Loss 1.2040 (1.3762) Prec@1 72.656 (68.021) Prec@5 88.281 (86.747) Epoch: [69][340/10010] Time 0.318 (0.331) Data 0.000 (0.008) Loss 1.4711 (1.3737) Prec@1 64.062 (68.079) Prec@5 83.594 (86.781) Epoch: [69][350/10010] Time 0.321 (0.331) Data 0.001 (0.008) Loss 1.3685 (1.3745) Prec@1 69.531 (68.067) Prec@5 85.938 (86.763) Epoch: [69][360/10010] Time 0.338 (0.331) Data 0.001 (0.007) Loss 1.2748 (1.3749) Prec@1 70.312 (68.044) Prec@5 86.719 (86.762) Epoch: [69][370/10010] Time 0.317 (0.330) Data 0.000 (0.007) Loss 1.4254 (1.3766) Prec@1 70.312 (68.030) Prec@5 85.938 (86.742) Epoch: [69][380/10010] Time 0.341 (0.330) Data 0.001 (0.007) Loss 1.4515 (1.3781) Prec@1 66.406 (68.010) Prec@5 84.375 (86.711) Epoch: [69][390/10010] Time 0.316 (0.330) Data 0.000 (0.007) Loss 1.5122 (1.3798) Prec@1 63.281 (68.003) Prec@5 82.812 (86.687) Epoch: [69][400/10010] Time 0.315 (0.330) Data 0.001 (0.007) Loss 1.6568 (1.3815) Prec@1 55.469 (67.941) Prec@5 84.375 (86.656) Epoch: [69][410/10010] Time 0.322 (0.330) Data 0.001 (0.007) Loss 1.2669 (1.3824) Prec@1 69.531 (67.921) Prec@5 91.406 (86.666) Epoch: [69][420/10010] Time 0.321 (0.329) Data 0.001 (0.006) Loss 1.2345 (1.3831) Prec@1 67.188 (67.883) Prec@5 89.062 (86.645) Epoch: [69][430/10010] Time 0.317 (0.329) Data 0.001 (0.006) Loss 1.2965 (1.3827) Prec@1 71.094 (67.891) Prec@5 87.500 (86.679) Epoch: [69][440/10010] Time 0.322 (0.329) Data 0.000 (0.006) Loss 1.1447 (1.3840) Prec@1 75.781 (67.839) Prec@5 90.625 (86.669) Epoch: [69][450/10010] Time 0.319 (0.329) Data 0.001 (0.006) Loss 1.4082 (1.3842) Prec@1 64.062 (67.828) Prec@5 85.938 (86.675) Epoch: [69][460/10010] Time 0.318 (0.329) Data 0.001 (0.006) Loss 1.3744 (1.3859) Prec@1 68.750 (67.782) Prec@5 85.938 (86.651) Epoch: [69][470/10010] Time 0.330 (0.329) Data 0.001 (0.006) Loss 1.2593 (1.3851) Prec@1 70.312 (67.819) Prec@5 89.844 (86.681) Epoch: [69][480/10010] Time 0.335 (0.329) Data 0.000 (0.006) Loss 1.3538 (1.3858) Prec@1 63.281 (67.806) Prec@5 87.500 (86.680) Epoch: [69][490/10010] Time 0.322 (0.329) Data 0.000 (0.006) Loss 1.3706 (1.3841) Prec@1 67.969 (67.848) Prec@5 89.844 (86.720) Epoch: [69][500/10010] Time 0.323 (0.329) Data 0.001 (0.005) Loss 1.3962 (1.3846) Prec@1 67.188 (67.856) Prec@5 89.062 (86.717) Epoch: [69][510/10010] Time 0.320 (0.329) Data 0.001 (0.005) Loss 1.4430 (1.3847) Prec@1 67.969 (67.843) Prec@5 83.594 (86.713) Epoch: [69][520/10010] Time 0.332 (0.328) Data 0.001 (0.005) Loss 1.3261 (1.3830) Prec@1 71.094 (67.883) Prec@5 85.938 (86.720) Epoch: [69][530/10010] Time 0.321 (0.328) Data 0.001 (0.005) Loss 1.4983 (1.3837) Prec@1 66.406 (67.866) Prec@5 82.812 (86.711) Epoch: [69][540/10010] Time 0.318 (0.328) Data 0.001 (0.005) Loss 1.3123 (1.3847) Prec@1 69.531 (67.843) Prec@5 86.719 (86.683) Epoch: [69][550/10010] Time 0.337 (0.328) Data 0.001 (0.005) Loss 1.5202 (1.3860) Prec@1 63.281 (67.811) Prec@5 84.375 (86.663) Epoch: [69][560/10010] Time 0.320 (0.328) Data 0.000 (0.005) Loss 1.2919 (1.3863) Prec@1 70.312 (67.792) Prec@5 89.062 (86.641) Epoch: [69][570/10010] Time 0.315 (0.328) Data 0.000 (0.005) Loss 1.4947 (1.3867) Prec@1 64.062 (67.776) Prec@5 85.156 (86.630) Epoch: [69][580/10010] Time 0.342 (0.328) Data 0.001 (0.005) Loss 1.4800 (1.3870) Prec@1 66.406 (67.739) Prec@5 81.250 (86.626) Epoch: [69][590/10010] Time 0.315 (0.328) Data 0.000 (0.005) Loss 1.4547 (1.3877) Prec@1 66.406 (67.736) Prec@5 86.719 (86.616) Epoch: [69][600/10010] Time 0.319 (0.328) Data 0.001 (0.005) Loss 1.1949 (1.3881) Prec@1 70.312 (67.724) Prec@5 89.844 (86.613) Epoch: [69][610/10010] Time 0.332 (0.328) Data 0.001 (0.005) Loss 0.9681 (1.3877) Prec@1 75.000 (67.721) Prec@5 89.844 (86.606) Epoch: [69][620/10010] Time 0.316 (0.328) Data 0.000 (0.005) Loss 1.4435 (1.3879) Prec@1 66.406 (67.712) Prec@5 87.500 (86.599) Epoch: [69][630/10010] Time 0.326 (0.328) Data 0.001 (0.004) Loss 1.3392 (1.3885) Prec@1 68.750 (67.709) Prec@5 84.375 (86.581) Epoch: [69][640/10010] Time 0.335 (0.328) Data 0.000 (0.004) Loss 1.7252 (1.3872) Prec@1 65.625 (67.746) Prec@5 84.375 (86.607) Epoch: [69][650/10010] Time 0.315 (0.328) Data 0.001 (0.004) Loss 1.2638 (1.3876) Prec@1 72.656 (67.731) Prec@5 89.062 (86.600) Epoch: [69][660/10010] Time 0.320 (0.328) Data 0.001 (0.004) Loss 1.6066 (1.3883) Prec@1 65.625 (67.717) Prec@5 84.375 (86.596) Epoch: [69][670/10010] Time 0.323 (0.328) Data 0.001 (0.004) Loss 1.1011 (1.3876) Prec@1 71.875 (67.731) Prec@5 91.406 (86.617) Epoch: [69][680/10010] Time 0.328 (0.327) Data 0.001 (0.004) Loss 1.0376 (1.3873) Prec@1 75.781 (67.740) Prec@5 88.281 (86.617) /data/vision/torralba/deepscene/lib/anaconda2/lib/python2.7/site-packages/PIL/TiffImagePlugin.py:692: UserWarning: Possibly corrupt EXIF data. Expecting to read 2555904 bytes but only got 0. Skipping tag 0 "Skipping tag %s" % (size, len(data), tag)) Epoch: [69][690/10010] Time 0.327 (0.327) Data 0.001 (0.004) Loss 1.1207 (1.3864) Prec@1 73.438 (67.751) Prec@5 86.719 (86.607) Epoch: [69][700/10010] Time 0.319 (0.327) Data 0.001 (0.004) Loss 1.3381 (1.3856) Prec@1 67.969 (67.753) Prec@5 89.844 (86.636) Epoch: [69][710/10010] Time 0.313 (0.327) Data 0.001 (0.004) Loss 1.3438 (1.3850) Prec@1 70.312 (67.751) Prec@5 87.500 (86.640) Epoch: [69][720/10010] Time 0.323 (0.327) Data 0.001 (0.004) Loss 1.2790 (1.3853) Prec@1 71.094 (67.728) Prec@5 86.719 (86.633) Epoch: [69][730/10010] Time 0.317 (0.327) Data 0.001 (0.004) Loss 1.6264 (1.3853) Prec@1 62.500 (67.711) Prec@5 85.156 (86.654) Epoch: [69][740/10010] Time 0.332 (0.327) Data 0.000 (0.004) Loss 1.3457 (1.3871) Prec@1 64.062 (67.663) Prec@5 84.375 (86.615) Epoch: [69][750/10010] Time 0.330 (0.327) Data 0.001 (0.004) Loss 1.4924 (1.3873) Prec@1 64.844 (67.659) Prec@5 85.156 (86.600) Epoch: [69][760/10010] Time 0.317 (0.327) Data 0.000 (0.004) Loss 1.6590 (1.3872) Prec@1 67.188 (67.675) Prec@5 83.594 (86.598) Epoch: [69][770/10010] Time 0.321 (0.327) Data 0.000 (0.004) Loss 1.4258 (1.3881) Prec@1 67.969 (67.658) Prec@5 89.062 (86.582) Epoch: [69][780/10010] Time 0.333 (0.327) Data 0.000 (0.004) Loss 1.1849 (1.3874) Prec@1 70.312 (67.668) Prec@5 90.625 (86.599) Epoch: [69][790/10010] Time 0.320 (0.327) Data 0.000 (0.004) Loss 1.5906 (1.3879) Prec@1 67.969 (67.654) Prec@5 84.375 (86.586) Epoch: [69][800/10010] Time 0.334 (0.327) Data 0.001 (0.004) Loss 1.4685 (1.3876) Prec@1 67.188 (67.647) Prec@5 87.500 (86.592) Epoch: [69][810/10010] Time 0.319 (0.327) Data 0.000 (0.004) Loss 1.7323 (1.3876) Prec@1 60.938 (67.649) Prec@5 83.594 (86.593) Epoch: [69][820/10010] Time 0.315 (0.327) Data 0.001 (0.004) Loss 1.1916 (1.3875) Prec@1 71.094 (67.644) Prec@5 88.281 (86.595) Epoch: [69][830/10010] Time 0.324 (0.327) Data 0.001 (0.004) Loss 1.4342 (1.3874) Prec@1 62.500 (67.644) Prec@5 86.719 (86.602) Epoch: [69][840/10010] Time 0.318 (0.327) Data 0.000 (0.004) Loss 1.1763 (1.3871) Prec@1 71.875 (67.647) Prec@5 89.844 (86.610) Epoch: [69][850/10010] Time 0.339 (0.326) Data 0.001 (0.003) Loss 1.4487 (1.3873) Prec@1 63.281 (67.631) Prec@5 82.031 (86.602) Epoch: [69][860/10010] Time 0.321 (0.326) Data 0.001 (0.003) Loss 1.4227 (1.3874) Prec@1 63.281 (67.616) Prec@5 89.062 (86.597) Epoch: [69][870/10010] Time 0.322 (0.326) Data 0.001 (0.003) Loss 1.2429 (1.3871) Prec@1 67.969 (67.633) Prec@5 88.281 (86.603) Epoch: [69][880/10010] Time 0.335 (0.327) Data 0.000 (0.003) Loss 1.6713 (1.3871) Prec@1 64.062 (67.634) Prec@5 85.938 (86.597) Epoch: [69][890/10010] Time 0.326 (0.327) Data 0.000 (0.003) Loss 1.2904 (1.3866) Prec@1 66.406 (67.642) Prec@5 87.500 (86.592) Epoch: [69][900/10010] Time 0.319 (0.326) Data 0.001 (0.003) Loss 1.4992 (1.3857) Prec@1 69.531 (67.657) Prec@5 83.594 (86.598) Epoch: [69][910/10010] Time 0.331 (0.326) Data 0.001 (0.003) Loss 1.3148 (1.3849) Prec@1 66.406 (67.665) Prec@5 85.156 (86.601) Epoch: [69][920/10010] Time 0.321 (0.326) Data 0.001 (0.003) Loss 1.4862 (1.3854) Prec@1 69.531 (67.663) Prec@5 83.594 (86.586) Epoch: [69][930/10010] Time 0.321 (0.326) Data 0.001 (0.003) Loss 1.5533 (1.3861) Prec@1 67.188 (67.656) Prec@5 85.938 (86.572) Epoch: [69][940/10010] Time 0.333 (0.327) Data 0.000 (0.003) Loss 1.9553 (1.3864) Prec@1 54.688 (67.652) Prec@5 79.688 (86.572) Epoch: [69][950/10010] Time 0.315 (0.326) Data 0.000 (0.003) Loss 1.3033 (1.3865) Prec@1 70.312 (67.650) Prec@5 85.938 (86.568) Epoch: [69][960/10010] Time 0.322 (0.327) Data 0.001 (0.003) Loss 1.3364 (1.3856) Prec@1 67.969 (67.676) Prec@5 88.281 (86.579) Epoch: [69][970/10010] Time 0.316 (0.327) Data 0.001 (0.003) Loss 1.2526 (1.3857) Prec@1 72.656 (67.677) Prec@5 90.625 (86.576) Epoch: [69][980/10010] Time 0.331 (0.327) Data 0.000 (0.003) Loss 1.3589 (1.3850) Prec@1 65.625 (67.680) Prec@5 85.156 (86.580) Epoch: [69][990/10010] Time 0.320 (0.327) Data 0.000 (0.003) Loss 1.2427 (1.3844) Prec@1 69.531 (67.696) Prec@5 87.500 (86.593) Epoch: [69][1000/10010] Time 0.321 (0.326) Data 0.000 (0.003) Loss 1.3046 (1.3845) Prec@1 68.750 (67.692) Prec@5 89.062 (86.591) Epoch: [69][1010/10010] Time 0.321 (0.326) Data 0.001 (0.003) Loss 1.6749 (1.3841) Prec@1 60.938 (67.686) Prec@5 80.469 (86.597) Epoch: [69][1020/10010] Time 0.323 (0.326) Data 0.000 (0.003) Loss 1.4767 (1.3843) Prec@1 71.875 (67.681) Prec@5 82.812 (86.596) Epoch: [69][1030/10010] Time 0.330 (0.326) Data 0.001 (0.003) Loss 1.4903 (1.3839) Prec@1 64.062 (67.690) Prec@5 85.156 (86.603) Epoch: [69][1040/10010] Time 0.319 (0.326) Data 0.001 (0.003) Loss 1.3140 (1.3827) Prec@1 64.844 (67.699) Prec@5 85.156 (86.617) Epoch: [69][1050/10010] Time 0.317 (0.326) Data 0.001 (0.003) Loss 1.3261 (1.3838) Prec@1 67.188 (67.681) Prec@5 88.281 (86.605) Epoch: [69][1060/10010] Time 0.337 (0.326) Data 0.001 (0.003) Loss 1.3403 (1.3840) Prec@1 67.188 (67.676) Prec@5 85.156 (86.602) Epoch: [69][1070/10010] Time 0.342 (0.326) Data 0.000 (0.003) Loss 1.2920 (1.3848) Prec@1 67.969 (67.663) Prec@5 84.375 (86.584) Epoch: [69][1080/10010] Time 0.333 (0.326) Data 0.001 (0.003) Loss 1.6205 (1.3847) Prec@1 64.062 (67.672) Prec@5 82.812 (86.586) Epoch: [69][1090/10010] Time 0.330 (0.326) Data 0.000 (0.003) Loss 1.2923 (1.3837) Prec@1 65.625 (67.685) Prec@5 89.062 (86.598) Epoch: [69][1100/10010] Time 0.310 (0.326) Data 0.001 (0.003) Loss 1.6391 (1.3833) Prec@1 59.375 (67.693) Prec@5 82.031 (86.604) Epoch: [69][1110/10010] Time 0.330 (0.326) Data 0.000 (0.003) Loss 1.3598 (1.3841) Prec@1 68.750 (67.689) Prec@5 85.156 (86.594) Epoch: [69][1120/10010] Time 0.324 (0.326) Data 0.001 (0.003) Loss 1.3645 (1.3845) Prec@1 64.844 (67.682) Prec@5 90.625 (86.592) Epoch: [69][1130/10010] Time 0.338 (0.326) Data 0.001 (0.003) Loss 1.3988 (1.3844) Prec@1 64.844 (67.679) Prec@5 87.500 (86.598) Epoch: [69][1140/10010] Time 0.317 (0.326) Data 0.001 (0.003) Loss 1.4709 (1.3845) Prec@1 64.062 (67.680) Prec@5 86.719 (86.596) Epoch: [69][1150/10010] Time 0.315 (0.326) Data 0.000 (0.003) Loss 1.3167 (1.3840) Prec@1 65.625 (67.695) Prec@5 89.844 (86.607) Epoch: [69][1160/10010] Time 0.327 (0.326) Data 0.000 (0.003) Loss 1.2091 (1.3827) Prec@1 69.531 (67.724) Prec@5 90.625 (86.623) Epoch: [69][1170/10010] Time 0.317 (0.326) Data 0.001 (0.003) Loss 1.5801 (1.3830) Prec@1 67.188 (67.731) Prec@5 82.031 (86.614) Epoch: [69][1180/10010] Time 0.338 (0.326) Data 0.000 (0.003) Loss 1.4978 (1.3829) Prec@1 70.312 (67.727) Prec@5 89.062 (86.619) Epoch: [69][1190/10010] Time 0.343 (0.326) Data 0.000 (0.003) Loss 1.2777 (1.3826) Prec@1 66.406 (67.732) Prec@5 86.719 (86.620) Epoch: [69][1200/10010] Time 0.322 (0.326) Data 0.000 (0.003) Loss 1.3100 (1.3830) Prec@1 67.969 (67.724) Prec@5 85.938 (86.615) Epoch: [69][1210/10010] Time 0.332 (0.326) Data 0.001 (0.003) Loss 1.3885 (1.3829) Prec@1 69.531 (67.733) Prec@5 87.500 (86.625) Epoch: [69][1220/10010] Time 0.321 (0.326) Data 0.001 (0.003) Loss 1.3183 (1.3830) Prec@1 67.188 (67.728) Prec@5 86.719 (86.623) Epoch: [69][1230/10010] Time 0.321 (0.326) Data 0.000 (0.003) Loss 1.5125 (1.3830) Prec@1 63.281 (67.725) Prec@5 85.156 (86.622) Epoch: [69][1240/10010] Time 0.332 (0.326) Data 0.001 (0.003) Loss 1.5040 (1.3826) Prec@1 65.625 (67.741) Prec@5 82.031 (86.624) Epoch: [69][1250/10010] Time 0.339 (0.326) Data 0.001 (0.003) Loss 1.1499 (1.3826) Prec@1 70.312 (67.740) Prec@5 90.625 (86.625) Epoch: [69][1260/10010] Time 0.319 (0.326) Data 0.001 (0.003) Loss 1.3483 (1.3823) Prec@1 70.312 (67.743) Prec@5 89.062 (86.630) Epoch: [69][1270/10010] Time 0.314 (0.326) Data 0.001 (0.003) Loss 1.6355 (1.3823) Prec@1 59.375 (67.738) Prec@5 84.375 (86.633) Epoch: [69][1280/10010] Time 0.333 (0.326) Data 0.000 (0.003) Loss 1.3591 (1.3827) Prec@1 64.062 (67.723) Prec@5 86.719 (86.621) Epoch: [69][1290/10010] Time 0.327 (0.326) Data 0.000 (0.003) Loss 1.3311 (1.3825) Prec@1 71.094 (67.715) Prec@5 83.594 (86.623) Epoch: [69][1300/10010] Time 0.317 (0.326) Data 0.001 (0.002) Loss 1.5710 (1.3833) Prec@1 60.938 (67.700) Prec@5 84.375 (86.611) Epoch: [69][1310/10010] Time 0.317 (0.326) Data 0.001 (0.002) Loss 1.5077 (1.3834) Prec@1 67.188 (67.707) Prec@5 85.938 (86.611) Epoch: [69][1320/10010] Time 0.316 (0.326) Data 0.000 (0.002) Loss 1.3281 (1.3834) Prec@1 67.188 (67.703) Prec@5 85.156 (86.605) Epoch: [69][1330/10010] Time 0.343 (0.326) Data 0.000 (0.002) Loss 1.3287 (1.3833) Prec@1 67.188 (67.709) Prec@5 87.500 (86.600) Epoch: [69][1340/10010] Time 0.316 (0.326) Data 0.001 (0.002) Loss 1.2412 (1.3830) Prec@1 76.562 (67.716) Prec@5 85.156 (86.605) Epoch: [69][1350/10010] Time 0.319 (0.326) Data 0.001 (0.002) Loss 1.6139 (1.3828) Prec@1 67.188 (67.728) Prec@5 85.156 (86.612) Epoch: [69][1360/10010] Time 0.315 (0.326) Data 0.001 (0.002) Loss 1.3183 (1.3831) Prec@1 71.094 (67.733) Prec@5 89.062 (86.605) Epoch: [69][1370/10010] Time 0.335 (0.326) Data 0.001 (0.002) Loss 1.2662 (1.3826) Prec@1 69.531 (67.746) Prec@5 89.062 (86.613) Epoch: [69][1380/10010] Time 0.313 (0.326) Data 0.001 (0.002) Loss 1.3569 (1.3830) Prec@1 70.312 (67.752) Prec@5 86.719 (86.604) Epoch: [69][1390/10010] Time 0.325 (0.326) Data 0.000 (0.002) Loss 1.7115 (1.3835) Prec@1 61.719 (67.755) Prec@5 82.031 (86.591) Epoch: [69][1400/10010] Time 0.338 (0.326) Data 0.001 (0.002) Loss 1.5751 (1.3842) Prec@1 64.844 (67.748) Prec@5 81.250 (86.580) /data/vision/torralba/deepscene/lib/anaconda2/lib/python2.7/site-packages/PIL/TiffImagePlugin.py:692: UserWarning: Possibly corrupt EXIF data. Expecting to read 2555904 bytes but only got 0. Skipping tag 0 "Skipping tag %s" % (size, len(data), tag)) Epoch: [69][1410/10010] Time 0.336 (0.326) Data 0.001 (0.002) Loss 1.1509 (1.3838) Prec@1 70.312 (67.752) Prec@5 90.625 (86.592) Epoch: [69][1420/10010] Time 0.324 (0.326) Data 0.001 (0.002) Loss 1.5316 (1.3838) Prec@1 66.406 (67.763) Prec@5 85.156 (86.596) Epoch: [69][1430/10010] Time 0.335 (0.326) Data 0.001 (0.002) Loss 1.2391 (1.3833) Prec@1 70.312 (67.771) Prec@5 87.500 (86.600) Epoch: [69][1440/10010] Time 0.328 (0.326) Data 0.001 (0.002) Loss 1.6967 (1.3841) Prec@1 64.844 (67.763) Prec@5 82.812 (86.583) Epoch: [69][1450/10010] Time 0.321 (0.326) Data 0.000 (0.002) Loss 1.3247 (1.3839) Prec@1 69.531 (67.765) Prec@5 89.062 (86.587) Epoch: [69][1460/10010] Time 0.314 (0.326) Data 0.001 (0.002) Loss 1.4288 (1.3841) Prec@1 67.969 (67.767) Prec@5 87.500 (86.584) Epoch: [69][1470/10010] Time 0.336 (0.326) Data 0.001 (0.002) Loss 1.3558 (1.3848) Prec@1 72.656 (67.755) Prec@5 88.281 (86.575) Epoch: [69][1480/10010] Time 0.327 (0.326) Data 0.000 (0.002) Loss 1.3706 (1.3846) Prec@1 71.094 (67.764) Prec@5 85.938 (86.577) Epoch: [69][1490/10010] Time 0.313 (0.326) Data 0.001 (0.002) Loss 1.1187 (1.3844) Prec@1 71.875 (67.762) Prec@5 90.625 (86.578) Epoch: [69][1500/10010] Time 0.335 (0.326) Data 0.000 (0.002) Loss 1.5016 (1.3848) Prec@1 67.969 (67.758) Prec@5 85.938 (86.577) Epoch: [69][1510/10010] Time 0.317 (0.326) Data 0.000 (0.002) Loss 1.3884 (1.3843) Prec@1 67.969 (67.780) Prec@5 87.500 (86.584) Epoch: [69][1520/10010] Time 0.331 (0.326) Data 0.000 (0.002) Loss 1.3522 (1.3841) Prec@1 66.406 (67.779) Prec@5 88.281 (86.590) Epoch: [69][1530/10010] Time 0.321 (0.326) Data 0.000 (0.002) Loss 1.3231 (1.3838) Prec@1 66.406 (67.776) Prec@5 89.062 (86.595) Epoch: [69][1540/10010] Time 0.344 (0.326) Data 0.001 (0.002) Loss 1.5578 (1.3843) Prec@1 64.844 (67.769) Prec@5 82.031 (86.583) Epoch: [69][1550/10010] Time 0.320 (0.326) Data 0.001 (0.002) Loss 1.4002 (1.3844) Prec@1 68.750 (67.768) Prec@5 85.156 (86.580) Epoch: [69][1560/10010] Time 0.339 (0.326) Data 0.001 (0.002) Loss 1.4568 (1.3845) Prec@1 65.625 (67.761) Prec@5 86.719 (86.580) Epoch: [69][1570/10010] Time 0.340 (0.326) Data 0.001 (0.002) Loss 1.2862 (1.3843) Prec@1 71.094 (67.763) Prec@5 85.156 (86.586) Epoch: [69][1580/10010] Time 0.318 (0.326) Data 0.001 (0.002) Loss 1.4250 (1.3845) Prec@1 67.188 (67.766) Prec@5 85.156 (86.582) Epoch: [69][1590/10010] Time 0.319 (0.326) Data 0.001 (0.002) Loss 1.2678 (1.3844) Prec@1 70.312 (67.772) Prec@5 87.500 (86.585) Epoch: [69][1600/10010] Time 0.341 (0.326) Data 0.000 (0.002) Loss 1.3024 (1.3844) Prec@1 66.406 (67.774) Prec@5 89.844 (86.588) Epoch: [69][1610/10010] Time 0.312 (0.326) Data 0.001 (0.002) Loss 1.6378 (1.3846) Prec@1 59.375 (67.775) Prec@5 83.594 (86.587) Epoch: [69][1620/10010] Time 0.316 (0.326) Data 0.000 (0.002) Loss 1.2438 (1.3850) Prec@1 74.219 (67.770) Prec@5 89.062 (86.582) Epoch: [69][1630/10010] Time 0.336 (0.326) Data 0.001 (0.002) Loss 1.4456 (1.3848) Prec@1 67.188 (67.780) Prec@5 89.062 (86.588) Epoch: [69][1640/10010] Time 0.310 (0.326) Data 0.001 (0.002) Loss 1.5938 (1.3849) Prec@1 66.406 (67.772) Prec@5 82.812 (86.588) Epoch: [69][1650/10010] Time 0.336 (0.326) Data 0.001 (0.002) Loss 1.4471 (1.3846) Prec@1 63.281 (67.766) Prec@5 89.062 (86.594) Epoch: [69][1660/10010] Time 0.341 (0.326) Data 0.001 (0.002) Loss 1.2723 (1.3847) Prec@1 69.531 (67.759) Prec@5 89.062 (86.588) Epoch: [69][1670/10010] Time 0.334 (0.326) Data 0.001 (0.002) Loss 1.3985 (1.3844) Prec@1 67.188 (67.767) Prec@5 88.281 (86.601) Epoch: [69][1680/10010] Time 0.318 (0.326) Data 0.000 (0.002) Loss 1.2296 (1.3843) Prec@1 69.531 (67.763) Prec@5 90.625 (86.606) Epoch: [69][1690/10010] Time 0.325 (0.326) Data 0.001 (0.002) Loss 1.4420 (1.3849) Prec@1 64.062 (67.754) Prec@5 85.156 (86.595) Epoch: [69][1700/10010] Time 0.317 (0.326) Data 0.000 (0.002) Loss 1.5335 (1.3852) Prec@1 58.594 (67.742) Prec@5 90.625 (86.598) Epoch: [69][1710/10010] Time 0.334 (0.326) Data 0.001 (0.002) Loss 1.4795 (1.3849) Prec@1 68.750 (67.746) Prec@5 84.375 (86.604) Epoch: [69][1720/10010] Time 0.329 (0.326) Data 0.000 (0.002) Loss 1.4279 (1.3854) Prec@1 66.406 (67.727) Prec@5 88.281 (86.599) Epoch: [69][1730/10010] Time 0.331 (0.326) Data 0.001 (0.002) Loss 1.3981 (1.3854) Prec@1 64.844 (67.725) Prec@5 88.281 (86.604) Epoch: [69][1740/10010] Time 0.324 (0.326) Data 0.001 (0.002) Loss 1.3340 (1.3853) Prec@1 68.750 (67.732) Prec@5 88.281 (86.605) Epoch: [69][1750/10010] Time 0.320 (0.326) Data 0.001 (0.002) Loss 1.0347 (1.3853) Prec@1 71.875 (67.731) Prec@5 91.406 (86.607) Epoch: [69][1760/10010] Time 0.332 (0.326) Data 0.001 (0.002) Loss 1.4004 (1.3854) Prec@1 70.312 (67.733) Prec@5 85.938 (86.603) Epoch: [69][1770/10010] Time 0.337 (0.326) Data 0.000 (0.002) Loss 1.5145 (1.3856) Prec@1 60.938 (67.729) Prec@5 85.156 (86.601) Epoch: [69][1780/10010] Time 0.327 (0.326) Data 0.001 (0.002) Loss 1.4323 (1.3857) Prec@1 63.281 (67.724) Prec@5 83.594 (86.599) Epoch: [69][1790/10010] Time 0.317 (0.326) Data 0.001 (0.002) Loss 1.3511 (1.3853) Prec@1 62.500 (67.733) Prec@5 87.500 (86.605) Epoch: [69][1800/10010] Time 0.339 (0.326) Data 0.000 (0.002) Loss 1.5883 (1.3856) Prec@1 60.938 (67.730) Prec@5 83.594 (86.598) Epoch: [69][1810/10010] Time 0.332 (0.326) Data 0.000 (0.002) Loss 1.4147 (1.3854) Prec@1 67.969 (67.730) Prec@5 85.156 (86.601) Epoch: [69][1820/10010] Time 0.317 (0.326) Data 0.001 (0.002) Loss 1.3671 (1.3857) Prec@1 67.969 (67.721) Prec@5 87.500 (86.603) Epoch: [69][1830/10010] Time 0.317 (0.326) Data 0.001 (0.002) Loss 1.5091 (1.3854) Prec@1 67.969 (67.721) Prec@5 82.031 (86.605) Epoch: [69][1840/10010] Time 0.333 (0.326) Data 0.001 (0.002) Loss 1.5731 (1.3856) Prec@1 65.625 (67.718) Prec@5 83.594 (86.602) Epoch: [69][1850/10010] Time 0.310 (0.326) Data 0.000 (0.002) Loss 1.4732 (1.3854) Prec@1 64.062 (67.724) Prec@5 86.719 (86.604) Epoch: [69][1860/10010] Time 0.340 (0.326) Data 0.001 (0.002) Loss 1.5702 (1.3850) Prec@1 64.844 (67.736) Prec@5 82.031 (86.607) Epoch: [69][1870/10010] Time 0.330 (0.326) Data 0.001 (0.002) Loss 1.3218 (1.3852) Prec@1 68.750 (67.739) Prec@5 87.500 (86.602) Epoch: [69][1880/10010] Time 0.336 (0.326) Data 0.001 (0.002) Loss 1.3984 (1.3851) Prec@1 67.969 (67.743) Prec@5 86.719 (86.602) Epoch: [69][1890/10010] Time 0.321 (0.326) Data 0.001 (0.002) Loss 1.4657 (1.3846) Prec@1 64.062 (67.749) Prec@5 84.375 (86.611) Epoch: [69][1900/10010] Time 0.338 (0.326) Data 0.001 (0.002) Loss 1.1900 (1.3842) Prec@1 67.969 (67.758) Prec@5 89.844 (86.612) Epoch: [69][1910/10010] Time 0.330 (0.326) Data 0.000 (0.002) Loss 1.6777 (1.3846) Prec@1 63.281 (67.744) Prec@5 82.812 (86.604) Epoch: [69][1920/10010] Time 0.331 (0.326) Data 0.001 (0.002) Loss 1.5771 (1.3849) Prec@1 63.281 (67.732) Prec@5 85.156 (86.603) Epoch: [69][1930/10010] Time 0.339 (0.326) Data 0.000 (0.002) Loss 1.2740 (1.3846) Prec@1 63.281 (67.735) Prec@5 89.062 (86.607) Epoch: [69][1940/10010] Time 0.340 (0.326) Data 0.001 (0.002) Loss 1.7183 (1.3849) Prec@1 62.500 (67.735) Prec@5 80.469 (86.605) Epoch: [69][1950/10010] Time 0.320 (0.326) Data 0.000 (0.002) Loss 1.1724 (1.3845) Prec@1 72.656 (67.746) Prec@5 89.062 (86.613) Epoch: [69][1960/10010] Time 0.334 (0.326) Data 0.000 (0.002) Loss 1.6482 (1.3848) Prec@1 67.188 (67.744) Prec@5 82.031 (86.610) Epoch: [69][1970/10010] Time 0.336 (0.326) Data 0.000 (0.002) Loss 0.9897 (1.3845) Prec@1 74.219 (67.749) Prec@5 93.750 (86.605) Epoch: [69][1980/10010] Time 0.332 (0.326) Data 0.001 (0.002) Loss 1.5140 (1.3846) Prec@1 66.406 (67.740) Prec@5 87.500 (86.601) Epoch: [69][1990/10010] Time 0.332 (0.326) Data 0.001 (0.002) Loss 1.4758 (1.3849) Prec@1 71.875 (67.734) Prec@5 83.594 (86.593) Epoch: [69][2000/10010] Time 0.339 (0.326) Data 0.001 (0.002) Loss 1.5297 (1.3847) Prec@1 64.844 (67.732) Prec@5 82.812 (86.595) Epoch: [69][2010/10010] Time 0.337 (0.326) Data 0.000 (0.002) Loss 1.4603 (1.3848) Prec@1 59.375 (67.726) Prec@5 88.281 (86.593) Epoch: [69][2020/10010] Time 0.329 (0.326) Data 0.001 (0.002) Loss 1.7953 (1.3852) Prec@1 62.500 (67.721) Prec@5 79.688 (86.587) Epoch: [69][2030/10010] Time 0.318 (0.326) Data 0.001 (0.002) Loss 1.1602 (1.3849) Prec@1 71.094 (67.726) Prec@5 89.062 (86.592) Epoch: [69][2040/10010] Time 0.340 (0.326) Data 0.000 (0.002) Loss 1.1777 (1.3849) Prec@1 72.656 (67.733) Prec@5 88.281 (86.589) Epoch: [69][2050/10010] Time 0.317 (0.326) Data 0.001 (0.002) Loss 1.2456 (1.3846) Prec@1 71.875 (67.744) Prec@5 88.281 (86.589) Epoch: [69][2060/10010] Time 0.313 (0.326) Data 0.001 (0.002) Loss 1.3682 (1.3844) Prec@1 67.969 (67.752) Prec@5 87.500 (86.594) Epoch: [69][2070/10010] Time 0.329 (0.326) Data 0.001 (0.002) Loss 1.5374 (1.3843) Prec@1 68.750 (67.756) Prec@5 82.812 (86.594) Epoch: [69][2080/10010] Time 0.332 (0.326) Data 0.000 (0.002) Loss 1.5869 (1.3843) Prec@1 61.719 (67.761) Prec@5 83.594 (86.592) Epoch: [69][2090/10010] Time 0.330 (0.326) Data 0.001 (0.002) Loss 1.2661 (1.3846) Prec@1 68.750 (67.758) Prec@5 91.406 (86.592) Epoch: [69][2100/10010] Time 0.316 (0.326) Data 0.001 (0.002) Loss 1.6947 (1.3851) Prec@1 63.281 (67.747) Prec@5 80.469 (86.585) Epoch: [69][2110/10010] Time 0.337 (0.326) Data 0.001 (0.002) Loss 1.4479 (1.3853) Prec@1 62.500 (67.748) Prec@5 85.156 (86.583) Epoch: [69][2120/10010] Time 0.338 (0.326) Data 0.000 (0.002) Loss 1.4557 (1.3855) Prec@1 65.625 (67.744) Prec@5 85.156 (86.584) Epoch: [69][2130/10010] Time 0.337 (0.326) Data 0.001 (0.002) Loss 1.2502 (1.3856) Prec@1 71.875 (67.744) Prec@5 88.281 (86.584) Epoch: [69][2140/10010] Time 0.325 (0.326) Data 0.000 (0.002) Loss 1.2780 (1.3857) Prec@1 67.969 (67.743) Prec@5 88.281 (86.587) Epoch: [69][2150/10010] Time 0.338 (0.326) Data 0.001 (0.002) Loss 1.4603 (1.3854) Prec@1 69.531 (67.754) Prec@5 86.719 (86.589) Epoch: [69][2160/10010] Time 0.323 (0.326) Data 0.001 (0.002) Loss 1.0569 (1.3858) Prec@1 76.562 (67.746) Prec@5 92.188 (86.584) Epoch: [69][2170/10010] Time 0.331 (0.327) Data 0.000 (0.002) Loss 1.3176 (1.3860) Prec@1 66.406 (67.741) Prec@5 87.500 (86.578) Epoch: [69][2180/10010] Time 0.319 (0.326) Data 0.001 (0.002) Loss 1.0406 (1.3859) Prec@1 72.656 (67.743) Prec@5 90.625 (86.579) Epoch: [69][2190/10010] Time 0.327 (0.326) Data 0.001 (0.002) Loss 1.2485 (1.3860) Prec@1 71.875 (67.747) Prec@5 90.625 (86.580) Epoch: [69][2200/10010] Time 0.329 (0.326) Data 0.001 (0.002) Loss 1.2146 (1.3861) Prec@1 69.531 (67.745) Prec@5 90.625 (86.579) Epoch: [69][2210/10010] Time 0.327 (0.327) Data 0.000 (0.002) Loss 1.5164 (1.3865) Prec@1 68.750 (67.738) Prec@5 85.938 (86.573) Epoch: [69][2220/10010] Time 0.336 (0.326) Data 0.000 (0.002) Loss 1.3163 (1.3862) Prec@1 72.656 (67.747) Prec@5 87.500 (86.571) Epoch: [69][2230/10010] Time 0.317 (0.326) Data 0.001 (0.002) Loss 1.3616 (1.3864) Prec@1 69.531 (67.739) Prec@5 83.594 (86.564) Epoch: [69][2240/10010] Time 0.340 (0.327) Data 0.001 (0.002) Loss 1.6253 (1.3864) Prec@1 64.844 (67.742) Prec@5 83.594 (86.567) Epoch: [69][2250/10010] Time 0.318 (0.326) Data 0.001 (0.002) Loss 1.3079 (1.3861) Prec@1 73.438 (67.750) Prec@5 86.719 (86.571) Epoch: [69][2260/10010] Time 0.345 (0.327) Data 0.000 (0.002) Loss 1.2227 (1.3860) Prec@1 71.875 (67.757) Prec@5 87.500 (86.572) Epoch: [69][2270/10010] Time 0.326 (0.326) Data 0.000 (0.002) Loss 1.3443 (1.3858) Prec@1 70.312 (67.761) Prec@5 87.500 (86.576) Epoch: [69][2280/10010] Time 0.328 (0.326) Data 0.000 (0.002) Loss 1.4466 (1.3855) Prec@1 67.188 (67.767) Prec@5 87.500 (86.579) Epoch: [69][2290/10010] Time 0.321 (0.326) Data 0.001 (0.002) Loss 1.3087 (1.3857) Prec@1 71.875 (67.758) Prec@5 86.719 (86.575) Epoch: [69][2300/10010] Time 0.323 (0.326) Data 0.001 (0.002) Loss 1.4707 (1.3859) Prec@1 62.500 (67.749) Prec@5 83.594 (86.573) Epoch: [69][2310/10010] Time 0.323 (0.326) Data 0.001 (0.002) Loss 1.2771 (1.3860) Prec@1 67.188 (67.745) Prec@5 87.500 (86.574) Epoch: [69][2320/10010] Time 0.325 (0.326) Data 0.000 (0.002) Loss 1.6134 (1.3863) Prec@1 67.969 (67.739) Prec@5 84.375 (86.567) Epoch: [69][2330/10010] Time 0.325 (0.326) Data 0.001 (0.002) Loss 1.5671 (1.3862) Prec@1 64.062 (67.743) Prec@5 86.719 (86.569) Epoch: [69][2340/10010] Time 0.317 (0.326) Data 0.001 (0.002) Loss 1.6159 (1.3862) Prec@1 64.062 (67.741) Prec@5 86.719 (86.575) Epoch: [69][2350/10010] Time 0.325 (0.326) Data 0.000 (0.002) Loss 1.4904 (1.3863) Prec@1 68.750 (67.743) Prec@5 85.156 (86.573) Epoch: [69][2360/10010] Time 0.342 (0.326) Data 0.001 (0.002) Loss 1.7479 (1.3867) Prec@1 60.938 (67.737) Prec@5 82.031 (86.571) Epoch: [69][2370/10010] Time 0.335 (0.326) Data 0.001 (0.002) Loss 1.2684 (1.3867) Prec@1 71.094 (67.731) Prec@5 90.625 (86.573) Epoch: [69][2380/10010] Time 0.326 (0.326) Data 0.001 (0.002) Loss 1.4357 (1.3865) Prec@1 64.062 (67.731) Prec@5 83.594 (86.579) Epoch: [69][2390/10010] Time 0.339 (0.326) Data 0.000 (0.002) Loss 1.3772 (1.3863) Prec@1 70.312 (67.737) Prec@5 85.938 (86.584) Epoch: [69][2400/10010] Time 0.331 (0.326) Data 0.000 (0.002) Loss 1.2822 (1.3862) Prec@1 69.531 (67.742) Prec@5 87.500 (86.584) Epoch: [69][2410/10010] Time 0.331 (0.326) Data 0.000 (0.002) Loss 1.3633 (1.3863) Prec@1 69.531 (67.739) Prec@5 86.719 (86.582) Epoch: [69][2420/10010] Time 0.322 (0.326) Data 0.000 (0.002) Loss 1.5139 (1.3862) Prec@1 69.531 (67.742) Prec@5 82.812 (86.581) Epoch: [69][2430/10010] Time 0.336 (0.326) Data 0.001 (0.002) Loss 1.3363 (1.3858) Prec@1 66.406 (67.747) Prec@5 85.938 (86.586) Epoch: [69][2440/10010] Time 0.318 (0.326) Data 0.001 (0.002) Loss 1.2028 (1.3858) Prec@1 73.438 (67.748) Prec@5 89.844 (86.587) Epoch: [69][2450/10010] Time 0.321 (0.326) Data 0.000 (0.002) Loss 1.4388 (1.3859) Prec@1 67.969 (67.751) Prec@5 85.938 (86.585) Epoch: [69][2460/10010] Time 0.327 (0.326) Data 0.001 (0.002) Loss 1.2297 (1.3857) Prec@1 70.312 (67.755) Prec@5 90.625 (86.591) Epoch: [69][2470/10010] Time 0.328 (0.326) Data 0.000 (0.002) Loss 1.4353 (1.3854) Prec@1 65.625 (67.763) Prec@5 87.500 (86.597) Epoch: [69][2480/10010] Time 0.333 (0.326) Data 0.000 (0.002) Loss 1.2171 (1.3857) Prec@1 68.750 (67.756) Prec@5 87.500 (86.595) Epoch: [69][2490/10010] Time 0.313 (0.326) Data 0.001 (0.002) Loss 1.6841 (1.3859) Prec@1 66.406 (67.752) Prec@5 85.156 (86.596) Epoch: [69][2500/10010] Time 0.320 (0.326) Data 0.000 (0.002) Loss 1.4403 (1.3860) Prec@1 64.844 (67.756) Prec@5 85.938 (86.598) Epoch: [69][2510/10010] Time 0.329 (0.326) Data 0.000 (0.002) Loss 1.1140 (1.3861) Prec@1 72.656 (67.759) Prec@5 90.625 (86.596) Epoch: [69][2520/10010] Time 0.336 (0.326) Data 0.001 (0.002) Loss 1.0575 (1.3864) Prec@1 75.781 (67.752) Prec@5 92.188 (86.591) Epoch: [69][2530/10010] Time 0.318 (0.326) Data 0.001 (0.002) Loss 1.2024 (1.3865) Prec@1 75.781 (67.752) Prec@5 89.844 (86.593) Epoch: [69][2540/10010] Time 0.313 (0.326) Data 0.000 (0.002) Loss 1.3966 (1.3867) Prec@1 66.406 (67.748) Prec@5 87.500 (86.589) Epoch: [69][2550/10010] Time 0.338 (0.326) Data 0.000 (0.002) Loss 1.5978 (1.3870) Prec@1 65.625 (67.740) Prec@5 82.031 (86.582) Epoch: [69][2560/10010] Time 0.338 (0.326) Data 0.001 (0.002) Loss 1.4034 (1.3867) Prec@1 64.844 (67.739) Prec@5 89.062 (86.592) Epoch: [69][2570/10010] Time 0.313 (0.326) Data 0.000 (0.002) Loss 1.6310 (1.3868) Prec@1 67.188 (67.736) Prec@5 84.375 (86.590) Epoch: [69][2580/10010] Time 0.331 (0.326) Data 0.000 (0.002) Loss 1.2348 (1.3866) Prec@1 71.875 (67.741) Prec@5 87.500 (86.595) Epoch: [69][2590/10010] Time 0.314 (0.326) Data 0.000 (0.002) Loss 1.4985 (1.3863) Prec@1 64.062 (67.748) Prec@5 85.156 (86.597) Epoch: [69][2600/10010] Time 0.341 (0.326) Data 0.000 (0.002) Loss 0.9036 (1.3858) Prec@1 78.906 (67.760) Prec@5 92.188 (86.604) Epoch: [69][2610/10010] Time 0.335 (0.326) Data 0.001 (0.002) Loss 1.4820 (1.3858) Prec@1 67.969 (67.764) Prec@5 85.156 (86.604) Epoch: [69][2620/10010] Time 0.317 (0.326) Data 0.001 (0.002) Loss 1.2344 (1.3859) Prec@1 68.750 (67.765) Prec@5 85.938 (86.597) Epoch: [69][2630/10010] Time 0.321 (0.326) Data 0.000 (0.002) Loss 1.2822 (1.3858) Prec@1 75.781 (67.772) Prec@5 86.719 (86.595) Epoch: [69][2640/10010] Time 0.316 (0.326) Data 0.001 (0.002) Loss 1.4260 (1.3859) Prec@1 71.094 (67.771) Prec@5 89.844 (86.598) Epoch: [69][2650/10010] Time 0.335 (0.326) Data 0.001 (0.002) Loss 1.2892 (1.3860) Prec@1 69.531 (67.770) Prec@5 86.719 (86.591) Epoch: [69][2660/10010] Time 0.326 (0.326) Data 0.001 (0.002) Loss 1.2119 (1.3858) Prec@1 72.656 (67.775) Prec@5 90.625 (86.595) /data/vision/torralba/deepscene/lib/anaconda2/lib/python2.7/site-packages/PIL/TiffImagePlugin.py:692: UserWarning: Possibly corrupt EXIF data. Expecting to read 19660800 bytes but only got 0. Skipping tag 0 "Skipping tag %s" % (size, len(data), tag)) /data/vision/torralba/deepscene/lib/anaconda2/lib/python2.7/site-packages/PIL/TiffImagePlugin.py:692: UserWarning: Possibly corrupt EXIF data. Expecting to read 18481152 bytes but only got 0. Skipping tag 0 "Skipping tag %s" % (size, len(data), tag)) /data/vision/torralba/deepscene/lib/anaconda2/lib/python2.7/site-packages/PIL/TiffImagePlugin.py:692: UserWarning: Possibly corrupt EXIF data. Expecting to read 37093376 bytes but only got 0. Skipping tag 0 "Skipping tag %s" % (size, len(data), tag)) /data/vision/torralba/deepscene/lib/anaconda2/lib/python2.7/site-packages/PIL/TiffImagePlugin.py:692: UserWarning: Possibly corrupt EXIF data. Expecting to read 39976960 bytes but only got 0. Skipping tag 0 "Skipping tag %s" % (size, len(data), tag)) /data/vision/torralba/deepscene/lib/anaconda2/lib/python2.7/site-packages/PIL/TiffImagePlugin.py:692: UserWarning: Possibly corrupt EXIF data. Expecting to read 34865152 bytes but only got 0. Skipping tag 0 "Skipping tag %s" % (size, len(data), tag)) /data/vision/torralba/deepscene/lib/anaconda2/lib/python2.7/site-packages/PIL/TiffImagePlugin.py:709: UserWarning: Corrupt EXIF data. Expecting to read 12 bytes but only got 10. warnings.warn(str(msg)) Epoch: [69][2670/10010] Time 0.341 (0.326) Data 0.000 (0.002) Loss 1.4915 (1.3858) Prec@1 60.938 (67.777) Prec@5 84.375 (86.596) Epoch: [69][2680/10010] Time 0.328 (0.326) Data 0.001 (0.002) Loss 1.3150 (1.3858) Prec@1 64.844 (67.781) Prec@5 89.062 (86.595) Epoch: [69][2690/10010] Time 0.337 (0.326) Data 0.000 (0.002) Loss 1.6494 (1.3859) Prec@1 66.406 (67.782) Prec@5 79.688 (86.592) Epoch: [69][2700/10010] Time 0.335 (0.326) Data 0.001 (0.002) Loss 1.3167 (1.3859) Prec@1 71.875 (67.784) Prec@5 85.156 (86.591) Epoch: [69][2710/10010] Time 0.320 (0.326) Data 0.001 (0.002) Loss 1.4080 (1.3862) Prec@1 61.719 (67.778) Prec@5 84.375 (86.580) Epoch: [69][2720/10010] Time 0.337 (0.326) Data 0.001 (0.002) Loss 1.4993 (1.3861) Prec@1 68.750 (67.782) Prec@5 82.812 (86.581) Epoch: [69][2730/10010] Time 0.340 (0.326) Data 0.001 (0.002) Loss 1.2160 (1.3864) Prec@1 67.969 (67.775) Prec@5 91.406 (86.572) Epoch: [69][2740/10010] Time 0.315 (0.326) Data 0.001 (0.002) Loss 1.5794 (1.3865) Prec@1 64.062 (67.773) Prec@5 85.156 (86.572) Epoch: [69][2750/10010] Time 0.327 (0.326) Data 0.001 (0.002) Loss 1.5205 (1.3865) Prec@1 67.188 (67.776) Prec@5 85.156 (86.570) Epoch: [69][2760/10010] Time 0.319 (0.326) Data 0.000 (0.002) Loss 1.2578 (1.3862) Prec@1 68.750 (67.781) Prec@5 90.625 (86.574) Epoch: [69][2770/10010] Time 0.320 (0.326) Data 0.001 (0.002) Loss 1.5201 (1.3864) Prec@1 63.281 (67.777) Prec@5 85.156 (86.570) Epoch: [69][2780/10010] Time 0.312 (0.326) Data 0.001 (0.002) Loss 1.7466 (1.3864) Prec@1 60.156 (67.779) Prec@5 78.125 (86.567) Epoch: [69][2790/10010] Time 0.311 (0.326) Data 0.000 (0.002) Loss 1.4714 (1.3865) Prec@1 65.625 (67.777) Prec@5 89.062 (86.567) Epoch: [69][2800/10010] Time 0.321 (0.326) Data 0.000 (0.001) Loss 1.2778 (1.3865) Prec@1 71.094 (67.772) Prec@5 87.500 (86.569) Epoch: [69][2810/10010] Time 0.334 (0.326) Data 0.001 (0.001) Loss 1.2584 (1.3864) Prec@1 71.094 (67.774) Prec@5 86.719 (86.570) Epoch: [69][2820/10010] Time 0.340 (0.326) Data 0.000 (0.001) Loss 1.3077 (1.3862) Prec@1 67.188 (67.783) Prec@5 85.156 (86.572) Epoch: [69][2830/10010] Time 0.317 (0.326) Data 0.001 (0.001) Loss 1.6872 (1.3861) Prec@1 60.156 (67.779) Prec@5 82.031 (86.575) Epoch: [69][2840/10010] Time 0.336 (0.326) Data 0.000 (0.001) Loss 1.3141 (1.3862) Prec@1 74.219 (67.775) Prec@5 89.062 (86.575) Epoch: [69][2850/10010] Time 0.318 (0.326) Data 0.001 (0.001) Loss 1.5560 (1.3862) Prec@1 66.406 (67.776) Prec@5 82.812 (86.576) Epoch: [69][2860/10010] Time 0.342 (0.326) Data 0.001 (0.001) Loss 1.2337 (1.3864) Prec@1 62.500 (67.770) Prec@5 89.844 (86.572) Epoch: [69][2870/10010] Time 0.338 (0.326) Data 0.001 (0.001) Loss 1.7153 (1.3866) Prec@1 60.938 (67.761) Prec@5 82.031 (86.566) Epoch: [69][2880/10010] Time 0.336 (0.326) Data 0.000 (0.001) Loss 1.0260 (1.3866) Prec@1 79.688 (67.769) Prec@5 91.406 (86.565) Epoch: [69][2890/10010] Time 0.325 (0.326) Data 0.000 (0.001) Loss 1.2896 (1.3867) Prec@1 66.406 (67.767) Prec@5 89.062 (86.563) Epoch: [69][2900/10010] Time 0.329 (0.326) Data 0.001 (0.001) Loss 1.5329 (1.3869) Prec@1 61.719 (67.762) Prec@5 84.375 (86.558) Epoch: [69][2910/10010] Time 0.315 (0.326) Data 0.000 (0.001) Loss 1.6514 (1.3870) Prec@1 64.062 (67.760) Prec@5 84.375 (86.557) Epoch: [69][2920/10010] Time 0.320 (0.326) Data 0.000 (0.001) Loss 1.2002 (1.3868) Prec@1 68.750 (67.765) Prec@5 85.156 (86.555) Epoch: [69][2930/10010] Time 0.316 (0.326) Data 0.001 (0.001) Loss 1.3223 (1.3870) Prec@1 68.750 (67.763) Prec@5 88.281 (86.553) Epoch: [69][2940/10010] Time 0.312 (0.326) Data 0.001 (0.001) Loss 1.4811 (1.3869) Prec@1 66.406 (67.761) Prec@5 82.812 (86.554) Epoch: [69][2950/10010] Time 0.315 (0.326) Data 0.001 (0.001) Loss 1.4336 (1.3868) Prec@1 67.969 (67.760) Prec@5 83.594 (86.554) Epoch: [69][2960/10010] Time 0.334 (0.326) Data 0.001 (0.001) Loss 1.1206 (1.3865) Prec@1 70.312 (67.763) Prec@5 89.844 (86.558) Epoch: [69][2970/10010] Time 0.316 (0.326) Data 0.001 (0.001) Loss 1.6088 (1.3863) Prec@1 67.188 (67.769) Prec@5 82.031 (86.562) Epoch: [69][2980/10010] Time 0.320 (0.326) Data 0.001 (0.001) Loss 1.6061 (1.3865) Prec@1 60.156 (67.765) Prec@5 82.812 (86.560) Epoch: [69][2990/10010] Time 0.327 (0.326) Data 0.000 (0.001) Loss 1.5022 (1.3863) Prec@1 65.625 (67.768) Prec@5 85.938 (86.562) Epoch: [69][3000/10010] Time 0.321 (0.326) Data 0.001 (0.001) Loss 1.1814 (1.3860) Prec@1 73.438 (67.774) Prec@5 88.281 (86.564) Epoch: [69][3010/10010] Time 0.321 (0.326) Data 0.001 (0.001) Loss 1.2723 (1.3859) Prec@1 70.312 (67.777) Prec@5 87.500 (86.565) Epoch: [69][3020/10010] Time 0.318 (0.326) Data 0.001 (0.001) Loss 1.4040 (1.3858) Prec@1 65.625 (67.774) Prec@5 89.062 (86.570) Epoch: [69][3030/10010] Time 0.316 (0.326) Data 0.000 (0.001) Loss 1.2130 (1.3856) Prec@1 72.656 (67.778) Prec@5 89.844 (86.575) Epoch: [69][3040/10010] Time 0.314 (0.326) Data 0.001 (0.001) Loss 1.3899 (1.3856) Prec@1 69.531 (67.777) Prec@5 85.156 (86.573) Epoch: [69][3050/10010] Time 0.325 (0.326) Data 0.001 (0.001) Loss 1.3943 (1.3857) Prec@1 66.406 (67.781) Prec@5 87.500 (86.573) Epoch: [69][3060/10010] Time 0.336 (0.326) Data 0.001 (0.001) Loss 1.5405 (1.3858) Prec@1 64.844 (67.783) Prec@5 85.156 (86.573) Epoch: [69][3070/10010] Time 0.331 (0.326) Data 0.000 (0.001) Loss 1.4162 (1.3858) Prec@1 71.094 (67.783) Prec@5 82.812 (86.572) Epoch: [69][3080/10010] Time 0.341 (0.326) Data 0.001 (0.001) Loss 1.8370 (1.3858) Prec@1 60.938 (67.787) Prec@5 81.250 (86.572) Epoch: [69][3090/10010] Time 0.321 (0.326) Data 0.001 (0.001) Loss 1.4183 (1.3858) Prec@1 63.281 (67.784) Prec@5 88.281 (86.572) Epoch: [69][3100/10010] Time 0.319 (0.326) Data 0.000 (0.001) Loss 1.3824 (1.3855) Prec@1 62.500 (67.788) Prec@5 89.062 (86.577) Epoch: [69][3110/10010] Time 0.323 (0.326) Data 0.001 (0.001) Loss 1.4397 (1.3854) Prec@1 70.312 (67.792) Prec@5 85.938 (86.579) Epoch: [69][3120/10010] Time 0.320 (0.326) Data 0.000 (0.001) Loss 1.2923 (1.3854) Prec@1 66.406 (67.792) Prec@5 88.281 (86.581) Epoch: [69][3130/10010] Time 0.323 (0.326) Data 0.001 (0.001) Loss 1.5476 (1.3854) Prec@1 62.500 (67.793) Prec@5 85.938 (86.579) Epoch: [69][3140/10010] Time 0.313 (0.326) Data 0.001 (0.001) Loss 1.1508 (1.3850) Prec@1 70.312 (67.801) Prec@5 89.062 (86.585) Epoch: [69][3150/10010] Time 0.336 (0.326) Data 0.001 (0.001) Loss 1.4051 (1.3852) Prec@1 64.062 (67.802) Prec@5 87.500 (86.584) Epoch: [69][3160/10010] Time 0.324 (0.326) Data 0.001 (0.001) Loss 1.4005 (1.3852) Prec@1 64.844 (67.800) Prec@5 87.500 (86.585) Epoch: [69][3170/10010] Time 0.321 (0.326) Data 0.001 (0.001) Loss 1.2510 (1.3851) Prec@1 66.406 (67.802) Prec@5 87.500 (86.586) Epoch: [69][3180/10010] Time 0.319 (0.326) Data 0.001 (0.001) Loss 1.2849 (1.3849) Prec@1 67.969 (67.807) Prec@5 87.500 (86.591) Epoch: [69][3190/10010] Time 0.324 (0.326) Data 0.000 (0.001) Loss 1.3705 (1.3850) Prec@1 67.969 (67.811) Prec@5 87.500 (86.589) Epoch: [69][3200/10010] Time 0.319 (0.326) Data 0.000 (0.001) Loss 1.4275 (1.3851) Prec@1 67.188 (67.805) Prec@5 85.156 (86.588) Epoch: [69][3210/10010] Time 0.316 (0.326) Data 0.001 (0.001) Loss 1.2347 (1.3854) Prec@1 73.438 (67.799) Prec@5 91.406 (86.583) Epoch: [69][3220/10010] Time 0.312 (0.326) Data 0.001 (0.001) Loss 1.5618 (1.3853) Prec@1 65.625 (67.799) Prec@5 85.156 (86.585) Epoch: [69][3230/10010] Time 0.332 (0.326) Data 0.001 (0.001) Loss 1.6313 (1.3853) Prec@1 60.156 (67.799) Prec@5 85.938 (86.588) Epoch: [69][3240/10010] Time 0.326 (0.326) Data 0.000 (0.001) Loss 1.5207 (1.3856) Prec@1 67.188 (67.797) Prec@5 85.938 (86.584) Epoch: [69][3250/10010] Time 0.332 (0.326) Data 0.001 (0.001) Loss 1.4738 (1.3856) Prec@1 65.625 (67.798) Prec@5 85.156 (86.583) Epoch: [69][3260/10010] Time 0.320 (0.326) Data 0.000 (0.001) Loss 1.4941 (1.3855) Prec@1 67.188 (67.801) Prec@5 85.156 (86.584) Epoch: [69][3270/10010] Time 0.329 (0.326) Data 0.000 (0.001) Loss 1.2874 (1.3854) Prec@1 70.312 (67.806) Prec@5 89.844 (86.585) Epoch: [69][3280/10010] Time 0.328 (0.326) Data 0.000 (0.001) Loss 1.7735 (1.3858) Prec@1 60.156 (67.801) Prec@5 82.031 (86.580) Epoch: [69][3290/10010] Time 0.339 (0.326) Data 0.001 (0.001) Loss 1.3906 (1.3858) Prec@1 65.625 (67.802) Prec@5 85.938 (86.578) Epoch: [69][3300/10010] Time 0.323 (0.326) Data 0.001 (0.001) Loss 1.2597 (1.3856) Prec@1 67.969 (67.803) Prec@5 86.719 (86.581) Epoch: [69][3310/10010] Time 0.324 (0.326) Data 0.000 (0.001) Loss 1.2450 (1.3855) Prec@1 69.531 (67.805) Prec@5 88.281 (86.581) Epoch: [69][3320/10010] Time 0.321 (0.326) Data 0.000 (0.001) Loss 1.6695 (1.3855) Prec@1 64.062 (67.807) Prec@5 82.031 (86.583) Epoch: [69][3330/10010] Time 0.345 (0.326) Data 0.001 (0.001) Loss 1.5178 (1.3858) Prec@1 62.500 (67.802) Prec@5 84.375 (86.577) Epoch: [69][3340/10010] Time 0.338 (0.326) Data 0.000 (0.001) Loss 1.4502 (1.3857) Prec@1 69.531 (67.803) Prec@5 85.938 (86.578) Epoch: [69][3350/10010] Time 0.333 (0.326) Data 0.001 (0.001) Loss 1.1196 (1.3856) Prec@1 69.531 (67.805) Prec@5 89.844 (86.582) Epoch: [69][3360/10010] Time 0.326 (0.326) Data 0.000 (0.001) Loss 1.2962 (1.3856) Prec@1 68.750 (67.804) Prec@5 87.500 (86.584) Epoch: [69][3370/10010] Time 0.334 (0.326) Data 0.001 (0.001) Loss 1.0092 (1.3855) Prec@1 72.656 (67.803) Prec@5 93.750 (86.588) Epoch: [69][3380/10010] Time 0.320 (0.326) Data 0.001 (0.001) Loss 1.5576 (1.3856) Prec@1 63.281 (67.802) Prec@5 83.594 (86.587) Epoch: [69][3390/10010] Time 0.338 (0.326) Data 0.000 (0.001) Loss 1.3683 (1.3856) Prec@1 74.219 (67.803) Prec@5 86.719 (86.589) Epoch: [69][3400/10010] Time 0.325 (0.326) Data 0.001 (0.001) Loss 1.6089 (1.3856) Prec@1 59.375 (67.800) Prec@5 82.812 (86.589) Epoch: [69][3410/10010] Time 0.315 (0.326) Data 0.000 (0.001) Loss 1.5136 (1.3857) Prec@1 66.406 (67.805) Prec@5 82.812 (86.586) Epoch: [69][3420/10010] Time 0.328 (0.326) Data 0.001 (0.001) Loss 1.0469 (1.3857) Prec@1 72.656 (67.805) Prec@5 92.188 (86.589) Epoch: [69][3430/10010] Time 0.340 (0.326) Data 0.000 (0.001) Loss 1.4239 (1.3859) Prec@1 67.969 (67.804) Prec@5 83.594 (86.586) Epoch: [69][3440/10010] Time 0.322 (0.326) Data 0.000 (0.001) Loss 1.5107 (1.3859) Prec@1 65.625 (67.803) Prec@5 85.156 (86.586) /data/vision/torralba/deepscene/lib/anaconda2/lib/python2.7/site-packages/PIL/TiffImagePlugin.py:692: UserWarning: Possibly corrupt EXIF data. Expecting to read 2555904 bytes but only got 0. Skipping tag 0 "Skipping tag %s" % (size, len(data), tag)) Epoch: [69][3450/10010] Time 0.316 (0.326) Data 0.001 (0.001) Loss 1.5623 (1.3860) Prec@1 61.719 (67.801) Prec@5 83.594 (86.583) Epoch: [69][3460/10010] Time 0.318 (0.326) Data 0.001 (0.001) Loss 1.2511 (1.3861) Prec@1 70.312 (67.799) Prec@5 89.844 (86.578) Epoch: [69][3470/10010] Time 0.330 (0.326) Data 0.001 (0.001) Loss 1.2614 (1.3861) Prec@1 69.531 (67.799) Prec@5 86.719 (86.576) Epoch: [69][3480/10010] Time 0.325 (0.326) Data 0.000 (0.001) Loss 1.3862 (1.3861) Prec@1 67.188 (67.804) Prec@5 85.156 (86.576) Epoch: [69][3490/10010] Time 0.336 (0.326) Data 0.001 (0.001) Loss 1.6458 (1.3862) Prec@1 61.719 (67.803) Prec@5 83.594 (86.574) Epoch: [69][3500/10010] Time 0.337 (0.326) Data 0.001 (0.001) Loss 1.1060 (1.3862) Prec@1 67.969 (67.803) Prec@5 92.969 (86.574) Epoch: [69][3510/10010] Time 0.323 (0.326) Data 0.000 (0.001) Loss 1.7795 (1.3863) Prec@1 63.281 (67.799) Prec@5 81.250 (86.574) Epoch: [69][3520/10010] Time 0.327 (0.326) Data 0.001 (0.001) Loss 1.2683 (1.3863) Prec@1 68.750 (67.801) Prec@5 89.844 (86.575) Epoch: [69][3530/10010] Time 0.323 (0.326) Data 0.001 (0.001) Loss 1.4951 (1.3860) Prec@1 67.969 (67.805) Prec@5 86.719 (86.580) Epoch: [69][3540/10010] Time 0.334 (0.326) Data 0.000 (0.001) Loss 1.3060 (1.3858) Prec@1 70.312 (67.810) Prec@5 85.938 (86.582) Epoch: [69][3550/10010] Time 0.340 (0.326) Data 0.001 (0.001) Loss 1.7471 (1.3859) Prec@1 60.156 (67.808) Prec@5 79.688 (86.581) Epoch: [69][3560/10010] Time 0.326 (0.326) Data 0.001 (0.001) Loss 1.6117 (1.3859) Prec@1 63.281 (67.808) Prec@5 82.812 (86.580) Epoch: [69][3570/10010] Time 0.334 (0.326) Data 0.001 (0.001) Loss 1.4245 (1.3856) Prec@1 67.188 (67.811) Prec@5 85.938 (86.585) Epoch: [69][3580/10010] Time 0.319 (0.326) Data 0.001 (0.001) Loss 1.5247 (1.3856) Prec@1 64.062 (67.813) Prec@5 82.812 (86.585) Epoch: [69][3590/10010] Time 0.317 (0.326) Data 0.001 (0.001) Loss 1.2471 (1.3855) Prec@1 68.750 (67.810) Prec@5 88.281 (86.587) Epoch: [69][3600/10010] Time 0.326 (0.326) Data 0.001 (0.001) Loss 1.2271 (1.3855) Prec@1 71.094 (67.811) Prec@5 88.281 (86.584) Epoch: [69][3610/10010] Time 0.317 (0.326) Data 0.001 (0.001) Loss 1.4806 (1.3858) Prec@1 67.969 (67.806) Prec@5 82.812 (86.581) Epoch: [69][3620/10010] Time 0.310 (0.326) Data 0.000 (0.001) Loss 1.2760 (1.3859) Prec@1 69.531 (67.808) Prec@5 87.500 (86.579) Epoch: [69][3630/10010] Time 0.314 (0.326) Data 0.001 (0.001) Loss 1.3200 (1.3859) Prec@1 71.875 (67.808) Prec@5 88.281 (86.579) Epoch: [69][3640/10010] Time 0.318 (0.326) Data 0.001 (0.001) Loss 1.2169 (1.3858) Prec@1 72.656 (67.807) Prec@5 87.500 (86.578) Epoch: [69][3650/10010] Time 0.326 (0.326) Data 0.001 (0.001) Loss 1.2681 (1.3858) Prec@1 68.750 (67.806) Prec@5 89.062 (86.577) Epoch: [69][3660/10010] Time 0.311 (0.326) Data 0.001 (0.001) Loss 1.4425 (1.3858) Prec@1 64.844 (67.809) Prec@5 84.375 (86.576) Epoch: [69][3670/10010] Time 0.325 (0.326) Data 0.000 (0.001) Loss 1.4232 (1.3858) Prec@1 61.719 (67.806) Prec@5 85.938 (86.577) Epoch: [69][3680/10010] Time 0.317 (0.326) Data 0.001 (0.001) Loss 1.1039 (1.3857) Prec@1 69.531 (67.809) Prec@5 93.750 (86.580) Epoch: [69][3690/10010] Time 0.335 (0.326) Data 0.000 (0.001) Loss 1.3575 (1.3858) Prec@1 66.406 (67.809) Prec@5 86.719 (86.577) Epoch: [69][3700/10010] Time 0.334 (0.326) Data 0.000 (0.001) Loss 1.4385 (1.3856) Prec@1 57.812 (67.809) Prec@5 87.500 (86.581) Epoch: [69][3710/10010] Time 0.339 (0.326) Data 0.001 (0.001) Loss 1.1347 (1.3857) Prec@1 70.312 (67.806) Prec@5 89.844 (86.580) Epoch: [69][3720/10010] Time 0.313 (0.326) Data 0.001 (0.001) Loss 1.3801 (1.3860) Prec@1 68.750 (67.805) Prec@5 85.156 (86.575) Epoch: [69][3730/10010] Time 0.321 (0.326) Data 0.001 (0.001) Loss 1.2598 (1.3861) Prec@1 71.094 (67.805) Prec@5 85.938 (86.573) Epoch: [69][3740/10010] Time 0.342 (0.326) Data 0.000 (0.001) Loss 1.3830 (1.3860) Prec@1 64.844 (67.802) Prec@5 85.938 (86.574) Epoch: [69][3750/10010] Time 0.320 (0.326) Data 0.000 (0.001) Loss 1.4349 (1.3860) Prec@1 67.969 (67.799) Prec@5 86.719 (86.576) Epoch: [69][3760/10010] Time 0.322 (0.326) Data 0.001 (0.001) Loss 1.1908 (1.3861) Prec@1 71.094 (67.793) Prec@5 91.406 (86.574) Epoch: [69][3770/10010] Time 0.337 (0.326) Data 0.000 (0.001) Loss 1.2252 (1.3861) Prec@1 66.406 (67.793) Prec@5 88.281 (86.575) Epoch: [69][3780/10010] Time 0.334 (0.326) Data 0.000 (0.001) Loss 1.2228 (1.3861) Prec@1 68.750 (67.794) Prec@5 92.969 (86.576) Epoch: [69][3790/10010] Time 0.324 (0.326) Data 0.001 (0.001) Loss 1.4859 (1.3861) Prec@1 61.719 (67.795) Prec@5 86.719 (86.578) Epoch: [69][3800/10010] Time 0.329 (0.326) Data 0.001 (0.001) Loss 1.5361 (1.3860) Prec@1 69.531 (67.800) Prec@5 85.156 (86.581) Epoch: [69][3810/10010] Time 0.339 (0.326) Data 0.001 (0.001) Loss 1.3845 (1.3861) Prec@1 70.312 (67.798) Prec@5 84.375 (86.580) Epoch: [69][3820/10010] Time 0.327 (0.326) Data 0.001 (0.001) Loss 1.4218 (1.3860) Prec@1 65.625 (67.797) Prec@5 86.719 (86.581) Epoch: [69][3830/10010] Time 0.321 (0.326) Data 0.001 (0.001) Loss 1.5740 (1.3858) Prec@1 69.531 (67.802) Prec@5 82.031 (86.582) Epoch: [69][3840/10010] Time 0.336 (0.326) Data 0.001 (0.001) Loss 1.4177 (1.3858) Prec@1 64.062 (67.803) Prec@5 89.062 (86.586) Epoch: [69][3850/10010] Time 0.333 (0.326) Data 0.000 (0.001) Loss 1.4991 (1.3859) Prec@1 66.406 (67.801) Prec@5 86.719 (86.586) Epoch: [69][3860/10010] Time 0.337 (0.326) Data 0.000 (0.001) Loss 1.5597 (1.3860) Prec@1 64.844 (67.798) Prec@5 82.812 (86.584) Epoch: [69][3870/10010] Time 0.329 (0.326) Data 0.000 (0.001) Loss 1.4881 (1.3861) Prec@1 69.531 (67.797) Prec@5 87.500 (86.581) Epoch: [69][3880/10010] Time 0.337 (0.326) Data 0.001 (0.001) Loss 1.1116 (1.3861) Prec@1 73.438 (67.799) Prec@5 89.844 (86.581) Epoch: [69][3890/10010] Time 0.316 (0.326) Data 0.001 (0.001) Loss 1.2697 (1.3862) Prec@1 71.094 (67.799) Prec@5 87.500 (86.580) Epoch: [69][3900/10010] Time 0.338 (0.326) Data 0.000 (0.001) Loss 1.5755 (1.3863) Prec@1 67.969 (67.801) Prec@5 82.812 (86.579) Epoch: [69][3910/10010] Time 0.343 (0.326) Data 0.000 (0.001) Loss 1.1375 (1.3862) Prec@1 71.094 (67.801) Prec@5 87.500 (86.581) Epoch: [69][3920/10010] Time 0.322 (0.326) Data 0.000 (0.001) Loss 1.3564 (1.3861) Prec@1 68.750 (67.802) Prec@5 84.375 (86.581) Epoch: [69][3930/10010] Time 0.336 (0.326) Data 0.001 (0.001) Loss 1.6113 (1.3862) Prec@1 59.375 (67.801) Prec@5 84.375 (86.579) Epoch: [69][3940/10010] Time 0.318 (0.326) Data 0.000 (0.001) Loss 1.2528 (1.3861) Prec@1 76.562 (67.804) Prec@5 87.500 (86.580) Epoch: [69][3950/10010] Time 0.336 (0.326) Data 0.000 (0.001) Loss 1.3591 (1.3860) Prec@1 67.969 (67.806) Prec@5 88.281 (86.585) Epoch: [69][3960/10010] Time 0.314 (0.326) Data 0.001 (0.001) Loss 1.5075 (1.3860) Prec@1 62.500 (67.806) Prec@5 81.250 (86.586) Epoch: [69][3970/10010] Time 0.337 (0.326) Data 0.001 (0.001) Loss 1.3369 (1.3860) Prec@1 67.188 (67.805) Prec@5 89.062 (86.588) Epoch: [69][3980/10010] Time 0.339 (0.326) Data 0.000 (0.001) Loss 1.5821 (1.3859) Prec@1 64.844 (67.807) Prec@5 82.812 (86.588) Epoch: [69][3990/10010] Time 0.345 (0.326) Data 0.001 (0.001) Loss 1.1767 (1.3858) Prec@1 72.656 (67.808) Prec@5 87.500 (86.589) Epoch: [69][4000/10010] Time 0.319 (0.326) Data 0.001 (0.001) Loss 1.4299 (1.3856) Prec@1 64.844 (67.811) Prec@5 84.375 (86.589) Epoch: [69][4010/10010] Time 0.336 (0.326) Data 0.001 (0.001) Loss 1.5394 (1.3861) Prec@1 67.969 (67.808) Prec@5 81.250 (86.585) Epoch: [69][4020/10010] Time 0.333 (0.326) Data 0.001 (0.001) Loss 1.4490 (1.3860) Prec@1 71.875 (67.815) Prec@5 85.156 (86.586) Epoch: [69][4030/10010] Time 0.317 (0.327) Data 0.000 (0.001) Loss 1.3201 (1.3858) Prec@1 68.750 (67.819) Prec@5 87.500 (86.589) Epoch: [69][4040/10010] Time 0.333 (0.326) Data 0.001 (0.001) Loss 1.4119 (1.3859) Prec@1 62.500 (67.814) Prec@5 84.375 (86.589) Epoch: [69][4050/10010] Time 0.314 (0.326) Data 0.000 (0.001) Loss 1.3611 (1.3859) Prec@1 63.281 (67.812) Prec@5 88.281 (86.588) Epoch: [69][4060/10010] Time 0.329 (0.326) Data 0.001 (0.001) Loss 1.7001 (1.3861) Prec@1 61.719 (67.809) Prec@5 83.594 (86.582) Epoch: [69][4070/10010] Time 0.339 (0.326) Data 0.001 (0.001) Loss 1.1317 (1.3859) Prec@1 76.562 (67.816) Prec@5 89.062 (86.587) Epoch: [69][4080/10010] Time 0.334 (0.326) Data 0.001 (0.001) Loss 1.2282 (1.3857) Prec@1 69.531 (67.813) Prec@5 85.938 (86.587) Epoch: [69][4090/10010] Time 0.316 (0.326) Data 0.001 (0.001) Loss 1.4997 (1.3858) Prec@1 67.188 (67.812) Prec@5 85.156 (86.586) Epoch: [69][4100/10010] Time 0.337 (0.326) Data 0.000 (0.001) Loss 1.3875 (1.3856) Prec@1 67.188 (67.818) Prec@5 89.062 (86.589) Epoch: [69][4110/10010] Time 0.319 (0.326) Data 0.000 (0.001) Loss 1.1823 (1.3854) Prec@1 75.781 (67.823) Prec@5 91.406 (86.593) Epoch: [69][4120/10010] Time 0.342 (0.326) Data 0.000 (0.001) Loss 1.3203 (1.3855) Prec@1 70.312 (67.822) Prec@5 87.500 (86.591) Epoch: [69][4130/10010] Time 0.318 (0.326) Data 0.001 (0.001) Loss 1.1907 (1.3853) Prec@1 70.312 (67.827) Prec@5 89.062 (86.594) Epoch: [69][4140/10010] Time 0.314 (0.326) Data 0.000 (0.001) Loss 1.4842 (1.3853) Prec@1 67.969 (67.829) Prec@5 82.812 (86.593) Epoch: [69][4150/10010] Time 0.340 (0.326) Data 0.000 (0.001) Loss 1.2246 (1.3853) Prec@1 75.781 (67.832) Prec@5 88.281 (86.594) Epoch: [69][4160/10010] Time 0.320 (0.326) Data 0.001 (0.001) Loss 1.3906 (1.3851) Prec@1 68.750 (67.832) Prec@5 85.938 (86.597) Epoch: [69][4170/10010] Time 0.318 (0.326) Data 0.001 (0.001) Loss 1.1434 (1.3853) Prec@1 76.562 (67.830) Prec@5 89.062 (86.594) Epoch: [69][4180/10010] Time 0.336 (0.326) Data 0.001 (0.001) Loss 1.2420 (1.3851) Prec@1 64.062 (67.835) Prec@5 91.406 (86.598) Epoch: [69][4190/10010] Time 0.316 (0.326) Data 0.001 (0.001) Loss 1.1502 (1.3850) Prec@1 76.562 (67.835) Prec@5 89.844 (86.599) Epoch: [69][4200/10010] Time 0.324 (0.326) Data 0.001 (0.001) Loss 1.6673 (1.3852) Prec@1 59.375 (67.830) Prec@5 82.812 (86.594) Epoch: [69][4210/10010] Time 0.334 (0.326) Data 0.001 (0.001) Loss 1.4624 (1.3852) Prec@1 64.844 (67.828) Prec@5 85.156 (86.594) Epoch: [69][4220/10010] Time 0.331 (0.326) Data 0.001 (0.001) Loss 1.6112 (1.3852) Prec@1 62.500 (67.826) Prec@5 83.594 (86.593) Epoch: [69][4230/10010] Time 0.318 (0.326) Data 0.001 (0.001) Loss 1.2023 (1.3851) Prec@1 78.906 (67.827) Prec@5 89.844 (86.593) Epoch: [69][4240/10010] Time 0.328 (0.326) Data 0.000 (0.001) Loss 1.5532 (1.3851) Prec@1 70.312 (67.824) Prec@5 84.375 (86.592) Epoch: [69][4250/10010] Time 0.318 (0.326) Data 0.001 (0.001) Loss 1.0504 (1.3852) Prec@1 75.000 (67.823) Prec@5 91.406 (86.589) Epoch: [69][4260/10010] Time 0.323 (0.326) Data 0.001 (0.001) Loss 1.2244 (1.3850) Prec@1 70.312 (67.827) Prec@5 89.062 (86.591) Epoch: [69][4270/10010] Time 0.316 (0.326) Data 0.000 (0.001) Loss 1.3736 (1.3850) Prec@1 69.531 (67.826) Prec@5 84.375 (86.592) Epoch: [69][4280/10010] Time 0.332 (0.326) Data 0.001 (0.001) Loss 1.4527 (1.3850) Prec@1 67.969 (67.827) Prec@5 86.719 (86.590) Epoch: [69][4290/10010] Time 0.340 (0.326) Data 0.001 (0.001) Loss 1.5132 (1.3851) Prec@1 61.719 (67.828) Prec@5 82.812 (86.589) Epoch: [69][4300/10010] Time 0.329 (0.326) Data 0.001 (0.001) Loss 1.6191 (1.3852) Prec@1 60.938 (67.826) Prec@5 82.812 (86.587) Epoch: [69][4310/10010] Time 0.337 (0.326) Data 0.000 (0.001) Loss 1.3770 (1.3853) Prec@1 66.406 (67.821) Prec@5 87.500 (86.586) Epoch: [69][4320/10010] Time 0.316 (0.326) Data 0.001 (0.001) Loss 1.4142 (1.3853) Prec@1 66.406 (67.822) Prec@5 87.500 (86.589) Epoch: [69][4330/10010] Time 0.319 (0.326) Data 0.000 (0.001) Loss 1.4866 (1.3851) Prec@1 70.312 (67.824) Prec@5 82.812 (86.592) Epoch: [69][4340/10010] Time 0.339 (0.326) Data 0.000 (0.001) Loss 1.4921 (1.3852) Prec@1 66.406 (67.822) Prec@5 82.812 (86.592) Epoch: [69][4350/10010] Time 0.322 (0.326) Data 0.001 (0.001) Loss 1.4684 (1.3853) Prec@1 64.844 (67.817) Prec@5 85.938 (86.588) Epoch: [69][4360/10010] Time 0.314 (0.326) Data 0.001 (0.001) Loss 1.4877 (1.3853) Prec@1 65.625 (67.818) Prec@5 84.375 (86.586) Epoch: [69][4370/10010] Time 0.314 (0.326) Data 0.001 (0.001) Loss 1.2397 (1.3854) Prec@1 71.875 (67.816) Prec@5 86.719 (86.583) Epoch: [69][4380/10010] Time 0.325 (0.326) Data 0.000 (0.001) Loss 1.2619 (1.3854) Prec@1 66.406 (67.814) Prec@5 89.062 (86.585) Epoch: [69][4390/10010] Time 0.316 (0.326) Data 0.001 (0.001) Loss 1.5150 (1.3859) Prec@1 61.719 (67.805) Prec@5 87.500 (86.578) Epoch: [69][4400/10010] Time 0.323 (0.326) Data 0.001 (0.001) Loss 1.3514 (1.3860) Prec@1 71.875 (67.800) Prec@5 86.719 (86.576) Epoch: [69][4410/10010] Time 0.314 (0.326) Data 0.001 (0.001) Loss 1.2753 (1.3860) Prec@1 68.750 (67.801) Prec@5 89.062 (86.575) Epoch: [69][4420/10010] Time 0.326 (0.326) Data 0.001 (0.001) Loss 1.0980 (1.3859) Prec@1 76.562 (67.804) Prec@5 88.281 (86.576) Epoch: [69][4430/10010] Time 0.319 (0.326) Data 0.001 (0.001) Loss 1.3373 (1.3858) Prec@1 71.094 (67.807) Prec@5 84.375 (86.578) Epoch: [69][4440/10010] Time 0.318 (0.326) Data 0.001 (0.001) Loss 1.3969 (1.3858) Prec@1 68.750 (67.807) Prec@5 87.500 (86.578) Epoch: [69][4450/10010] Time 0.325 (0.326) Data 0.001 (0.001) Loss 1.1890 (1.3856) Prec@1 73.438 (67.810) Prec@5 89.062 (86.581) Epoch: [69][4460/10010] Time 0.341 (0.326) Data 0.000 (0.001) Loss 1.4082 (1.3856) Prec@1 68.750 (67.810) Prec@5 86.719 (86.583) Epoch: [69][4470/10010] Time 0.336 (0.326) Data 0.000 (0.001) Loss 1.4333 (1.3856) Prec@1 68.750 (67.808) Prec@5 85.156 (86.583) Epoch: [69][4480/10010] Time 0.320 (0.326) Data 0.000 (0.001) Loss 1.7835 (1.3856) Prec@1 65.625 (67.810) Prec@5 77.344 (86.581) Epoch: [69][4490/10010] Time 0.315 (0.326) Data 0.001 (0.001) Loss 1.5957 (1.3856) Prec@1 65.625 (67.812) Prec@5 79.688 (86.579) Epoch: [69][4500/10010] Time 0.336 (0.326) Data 0.000 (0.001) Loss 1.2063 (1.3855) Prec@1 68.750 (67.813) Prec@5 89.062 (86.582) Epoch: [69][4510/10010] Time 0.328 (0.326) Data 0.001 (0.001) Loss 1.3343 (1.3855) Prec@1 67.969 (67.817) Prec@5 88.281 (86.583) Epoch: [69][4520/10010] Time 0.321 (0.326) Data 0.001 (0.001) Loss 1.1201 (1.3855) Prec@1 76.562 (67.817) Prec@5 90.625 (86.582) Epoch: [69][4530/10010] Time 0.319 (0.326) Data 0.001 (0.001) Loss 1.3716 (1.3855) Prec@1 62.500 (67.816) Prec@5 89.844 (86.579) Epoch: [69][4540/10010] Time 0.338 (0.326) Data 0.001 (0.001) Loss 1.4359 (1.3856) Prec@1 68.750 (67.815) Prec@5 83.594 (86.574) Epoch: [69][4550/10010] Time 0.314 (0.326) Data 0.000 (0.001) Loss 1.5858 (1.3859) Prec@1 64.062 (67.810) Prec@5 82.812 (86.568) Epoch: [69][4560/10010] Time 0.328 (0.326) Data 0.000 (0.001) Loss 1.3143 (1.3859) Prec@1 68.750 (67.809) Prec@5 89.844 (86.568) Epoch: [69][4570/10010] Time 0.318 (0.326) Data 0.001 (0.001) Loss 1.4501 (1.3859) Prec@1 63.281 (67.808) Prec@5 87.500 (86.568) Epoch: [69][4580/10010] Time 0.319 (0.326) Data 0.001 (0.001) Loss 1.3343 (1.3859) Prec@1 69.531 (67.811) Prec@5 90.625 (86.570) Epoch: [69][4590/10010] Time 0.325 (0.326) Data 0.001 (0.001) Loss 1.5935 (1.3860) Prec@1 59.375 (67.814) Prec@5 85.156 (86.570) Epoch: [69][4600/10010] Time 0.324 (0.326) Data 0.001 (0.001) Loss 1.2360 (1.3859) Prec@1 73.438 (67.811) Prec@5 88.281 (86.571) Epoch: [69][4610/10010] Time 0.315 (0.326) Data 0.000 (0.001) Loss 1.3709 (1.3862) Prec@1 66.406 (67.808) Prec@5 85.938 (86.564) Epoch: [69][4620/10010] Time 0.313 (0.326) Data 0.001 (0.001) Loss 1.5217 (1.3863) Prec@1 64.062 (67.804) Prec@5 83.594 (86.564) Epoch: [69][4630/10010] Time 0.319 (0.326) Data 0.001 (0.001) Loss 1.4864 (1.3865) Prec@1 66.406 (67.799) Prec@5 87.500 (86.562) Epoch: [69][4640/10010] Time 0.339 (0.326) Data 0.000 (0.001) Loss 1.2587 (1.3867) Prec@1 67.969 (67.795) Prec@5 89.844 (86.561) Epoch: [69][4650/10010] Time 0.319 (0.326) Data 0.000 (0.001) Loss 1.8542 (1.3868) Prec@1 60.938 (67.792) Prec@5 81.250 (86.558) Epoch: [69][4660/10010] Time 0.319 (0.326) Data 0.001 (0.001) Loss 1.3994 (1.3868) Prec@1 62.500 (67.788) Prec@5 87.500 (86.559) Epoch: [69][4670/10010] Time 0.331 (0.326) Data 0.001 (0.001) Loss 1.2628 (1.3868) Prec@1 75.000 (67.785) Prec@5 86.719 (86.556) Epoch: [69][4680/10010] Time 0.340 (0.326) Data 0.001 (0.001) Loss 1.3717 (1.3867) Prec@1 71.094 (67.787) Prec@5 84.375 (86.558) Epoch: [69][4690/10010] Time 0.317 (0.326) Data 0.000 (0.001) Loss 1.2637 (1.3867) Prec@1 68.750 (67.788) Prec@5 89.062 (86.558) Epoch: [69][4700/10010] Time 0.338 (0.326) Data 0.001 (0.001) Loss 1.4534 (1.3868) Prec@1 64.062 (67.785) Prec@5 87.500 (86.559) Epoch: [69][4710/10010] Time 0.324 (0.326) Data 0.000 (0.001) Loss 1.5419 (1.3868) Prec@1 64.062 (67.783) Prec@5 85.938 (86.561) Epoch: [69][4720/10010] Time 0.342 (0.326) Data 0.001 (0.001) Loss 1.3277 (1.3868) Prec@1 67.969 (67.781) Prec@5 87.500 (86.562) Epoch: [69][4730/10010] Time 0.335 (0.326) Data 0.000 (0.001) Loss 1.1994 (1.3867) Prec@1 71.094 (67.783) Prec@5 90.625 (86.564) Epoch: [69][4740/10010] Time 0.341 (0.326) Data 0.000 (0.001) Loss 1.5881 (1.3869) Prec@1 60.938 (67.782) Prec@5 82.812 (86.559) Epoch: [69][4750/10010] Time 0.322 (0.326) Data 0.001 (0.001) Loss 1.2349 (1.3869) Prec@1 72.656 (67.782) Prec@5 87.500 (86.559) Epoch: [69][4760/10010] Time 0.335 (0.326) Data 0.001 (0.001) Loss 1.3157 (1.3871) Prec@1 67.969 (67.777) Prec@5 86.719 (86.557) Epoch: [69][4770/10010] Time 0.313 (0.326) Data 0.001 (0.001) Loss 1.5026 (1.3871) Prec@1 65.625 (67.774) Prec@5 81.250 (86.556) Epoch: [69][4780/10010] Time 0.333 (0.326) Data 0.001 (0.001) Loss 1.5818 (1.3872) Prec@1 61.719 (67.772) Prec@5 82.812 (86.556) Epoch: [69][4790/10010] Time 0.332 (0.326) Data 0.001 (0.001) Loss 1.4082 (1.3872) Prec@1 65.625 (67.773) Prec@5 84.375 (86.555) Epoch: [69][4800/10010] Time 0.334 (0.326) Data 0.001 (0.001) Loss 1.3972 (1.3873) Prec@1 67.969 (67.773) Prec@5 82.031 (86.554) Epoch: [69][4810/10010] Time 0.320 (0.326) Data 0.001 (0.001) Loss 1.3144 (1.3872) Prec@1 67.188 (67.774) Prec@5 86.719 (86.553) Epoch: [69][4820/10010] Time 0.334 (0.326) Data 0.001 (0.001) Loss 1.6347 (1.3874) Prec@1 60.156 (67.768) Prec@5 85.938 (86.552) Epoch: [69][4830/10010] Time 0.333 (0.326) Data 0.001 (0.001) Loss 1.2555 (1.3875) Prec@1 66.406 (67.769) Prec@5 87.500 (86.551) Epoch: [69][4840/10010] Time 0.318 (0.326) Data 0.001 (0.001) Loss 1.4587 (1.3877) Prec@1 67.188 (67.768) Prec@5 88.281 (86.550) Epoch: [69][4850/10010] Time 0.320 (0.326) Data 0.001 (0.001) Loss 1.3492 (1.3877) Prec@1 65.625 (67.765) Prec@5 87.500 (86.550) Epoch: [69][4860/10010] Time 0.318 (0.326) Data 0.001 (0.001) Loss 1.3826 (1.3877) Prec@1 65.625 (67.766) Prec@5 89.062 (86.550) Epoch: [69][4870/10010] Time 0.312 (0.326) Data 0.001 (0.001) Loss 1.3088 (1.3876) Prec@1 72.656 (67.770) Prec@5 86.719 (86.551) Epoch: [69][4880/10010] Time 0.333 (0.326) Data 0.000 (0.001) Loss 1.4748 (1.3875) Prec@1 66.406 (67.770) Prec@5 87.500 (86.554) Epoch: [69][4890/10010] Time 0.331 (0.326) Data 0.001 (0.001) Loss 1.2275 (1.3874) Prec@1 69.531 (67.775) Prec@5 92.188 (86.558) Epoch: [69][4900/10010] Time 0.330 (0.326) Data 0.001 (0.001) Loss 1.3974 (1.3875) Prec@1 67.969 (67.776) Prec@5 84.375 (86.556) Epoch: [69][4910/10010] Time 0.331 (0.326) Data 0.001 (0.001) Loss 1.4087 (1.3875) Prec@1 70.312 (67.773) Prec@5 87.500 (86.558) Epoch: [69][4920/10010] Time 0.328 (0.326) Data 0.000 (0.001) Loss 1.3569 (1.3877) Prec@1 65.625 (67.771) Prec@5 85.156 (86.557) Epoch: [69][4930/10010] Time 0.320 (0.326) Data 0.001 (0.001) Loss 1.2326 (1.3875) Prec@1 68.750 (67.772) Prec@5 85.156 (86.562) Epoch: [69][4940/10010] Time 0.318 (0.326) Data 0.001 (0.001) Loss 1.5386 (1.3875) Prec@1 63.281 (67.776) Prec@5 83.594 (86.561) Epoch: [69][4950/10010] Time 0.326 (0.326) Data 0.003 (0.001) Loss 1.2385 (1.3874) Prec@1 72.656 (67.779) Prec@5 86.719 (86.562) Epoch: [69][4960/10010] Time 0.336 (0.326) Data 0.001 (0.001) Loss 1.5550 (1.3876) Prec@1 65.625 (67.776) Prec@5 85.156 (86.560) Epoch: [69][4970/10010] Time 0.336 (0.326) Data 0.000 (0.001) Loss 1.3526 (1.3876) Prec@1 70.312 (67.777) Prec@5 89.062 (86.558) Epoch: [69][4980/10010] Time 0.333 (0.326) Data 0.001 (0.001) Loss 1.3969 (1.3876) Prec@1 62.500 (67.776) Prec@5 86.719 (86.558) Epoch: [69][4990/10010] Time 0.322 (0.326) Data 0.000 (0.001) Loss 1.6152 (1.3875) Prec@1 59.375 (67.776) Prec@5 79.688 (86.560) Epoch: [69][5000/10010] Time 0.334 (0.326) Data 0.001 (0.001) Loss 1.4074 (1.3875) Prec@1 66.406 (67.775) Prec@5 88.281 (86.562) Epoch: [69][5010/10010] Time 0.329 (0.326) Data 0.001 (0.001) Loss 1.5726 (1.3876) Prec@1 62.500 (67.772) Prec@5 85.938 (86.563) Epoch: [69][5020/10010] Time 0.344 (0.326) Data 0.001 (0.001) Loss 1.1748 (1.3878) Prec@1 75.000 (67.768) Prec@5 92.188 (86.563) Epoch: [69][5030/10010] Time 0.324 (0.326) Data 0.001 (0.001) Loss 1.0727 (1.3878) Prec@1 78.906 (67.770) Prec@5 92.188 (86.562) Epoch: [69][5040/10010] Time 0.332 (0.326) Data 0.001 (0.001) Loss 1.1789 (1.3876) Prec@1 73.438 (67.772) Prec@5 85.938 (86.563) Epoch: [69][5050/10010] Time 0.327 (0.326) Data 0.001 (0.001) Loss 0.8880 (1.3876) Prec@1 79.688 (67.774) Prec@5 92.969 (86.561) Epoch: [69][5060/10010] Time 0.331 (0.326) Data 0.001 (0.001) Loss 1.4775 (1.3876) Prec@1 66.406 (67.773) Prec@5 82.031 (86.561) Epoch: [69][5070/10010] Time 0.323 (0.326) Data 0.001 (0.001) Loss 1.5209 (1.3876) Prec@1 69.531 (67.773) Prec@5 82.812 (86.560) Epoch: [69][5080/10010] Time 0.336 (0.326) Data 0.001 (0.001) Loss 1.4081 (1.3878) Prec@1 65.625 (67.773) Prec@5 89.062 (86.558) Epoch: [69][5090/10010] Time 0.328 (0.326) Data 0.000 (0.001) Loss 1.2242 (1.3877) Prec@1 75.000 (67.776) Prec@5 86.719 (86.557) Epoch: [69][5100/10010] Time 0.321 (0.326) Data 0.001 (0.001) Loss 1.2917 (1.3878) Prec@1 69.531 (67.773) Prec@5 84.375 (86.556) Epoch: [69][5110/10010] Time 0.337 (0.326) Data 0.000 (0.001) Loss 1.2251 (1.3877) Prec@1 66.406 (67.775) Prec@5 90.625 (86.555) Epoch: [69][5120/10010] Time 0.336 (0.326) Data 0.000 (0.001) Loss 1.5921 (1.3878) Prec@1 65.625 (67.773) Prec@5 83.594 (86.554) Epoch: [69][5130/10010] Time 0.335 (0.326) Data 0.001 (0.001) Loss 1.1794 (1.3877) Prec@1 72.656 (67.771) Prec@5 91.406 (86.556) Epoch: [69][5140/10010] Time 0.320 (0.327) Data 0.001 (0.001) Loss 1.8548 (1.3878) Prec@1 60.938 (67.770) Prec@5 78.906 (86.556) Epoch: [69][5150/10010] Time 0.331 (0.327) Data 0.001 (0.001) Loss 1.5660 (1.3877) Prec@1 63.281 (67.772) Prec@5 82.031 (86.556) Epoch: [69][5160/10010] Time 0.321 (0.327) Data 0.001 (0.001) Loss 1.2957 (1.3877) Prec@1 71.094 (67.773) Prec@5 85.156 (86.555) Epoch: [69][5170/10010] Time 0.332 (0.327) Data 0.001 (0.001) Loss 1.3431 (1.3876) Prec@1 72.656 (67.777) Prec@5 85.156 (86.556) Epoch: [69][5180/10010] Time 0.332 (0.327) Data 0.001 (0.001) Loss 1.2846 (1.3877) Prec@1 72.656 (67.778) Prec@5 84.375 (86.553) Epoch: [69][5190/10010] Time 0.328 (0.327) Data 0.001 (0.001) Loss 1.2441 (1.3876) Prec@1 71.094 (67.780) Prec@5 90.625 (86.553) Epoch: [69][5200/10010] Time 0.330 (0.327) Data 0.001 (0.001) Loss 1.2350 (1.3875) Prec@1 71.875 (67.781) Prec@5 87.500 (86.555) Epoch: [69][5210/10010] Time 0.335 (0.327) Data 0.001 (0.001) Loss 1.4472 (1.3876) Prec@1 65.625 (67.782) Prec@5 85.938 (86.553) Epoch: [69][5220/10010] Time 0.339 (0.327) Data 0.000 (0.001) Loss 1.1655 (1.3874) Prec@1 76.562 (67.787) Prec@5 89.062 (86.554) Epoch: [69][5230/10010] Time 0.333 (0.327) Data 0.001 (0.001) Loss 1.4328 (1.3873) Prec@1 66.406 (67.789) Prec@5 85.156 (86.555) Epoch: [69][5240/10010] Time 0.314 (0.327) Data 0.001 (0.001) Loss 1.4814 (1.3874) Prec@1 65.625 (67.787) Prec@5 86.719 (86.554) Epoch: [69][5250/10010] Time 0.324 (0.327) Data 0.000 (0.001) Loss 1.2650 (1.3874) Prec@1 70.312 (67.788) Prec@5 89.062 (86.556) Epoch: [69][5260/10010] Time 0.318 (0.327) Data 0.000 (0.001) Loss 1.2925 (1.3873) Prec@1 68.750 (67.790) Prec@5 84.375 (86.558) Epoch: [69][5270/10010] Time 0.323 (0.327) Data 0.001 (0.001) Loss 1.2270 (1.3873) Prec@1 67.969 (67.789) Prec@5 88.281 (86.559) Epoch: [69][5280/10010] Time 0.318 (0.327) Data 0.001 (0.001) Loss 1.4198 (1.3874) Prec@1 65.625 (67.786) Prec@5 86.719 (86.556) Epoch: [69][5290/10010] Time 0.324 (0.327) Data 0.001 (0.001) Loss 1.1819 (1.3875) Prec@1 75.000 (67.786) Prec@5 91.406 (86.557) Epoch: [69][5300/10010] Time 0.320 (0.327) Data 0.001 (0.001) Loss 1.5845 (1.3876) Prec@1 64.062 (67.785) Prec@5 82.812 (86.554) Epoch: [69][5310/10010] Time 0.327 (0.327) Data 0.001 (0.001) Loss 1.8582 (1.3876) Prec@1 56.250 (67.783) Prec@5 82.031 (86.555) Epoch: [69][5320/10010] Time 0.327 (0.327) Data 0.001 (0.001) Loss 1.4986 (1.3876) Prec@1 67.188 (67.784) Prec@5 85.156 (86.556) Epoch: [69][5330/10010] Time 0.334 (0.327) Data 0.000 (0.001) Loss 1.4501 (1.3877) Prec@1 64.844 (67.783) Prec@5 88.281 (86.556) Epoch: [69][5340/10010] Time 0.325 (0.327) Data 0.001 (0.001) Loss 1.0195 (1.3877) Prec@1 73.438 (67.781) Prec@5 96.875 (86.559) /data/vision/torralba/deepscene/lib/anaconda2/lib/python2.7/site-packages/PIL/TiffImagePlugin.py:692: UserWarning: Possibly corrupt EXIF data. Expecting to read 1835008 bytes but only got 0. Skipping tag 0 "Skipping tag %s" % (size, len(data), tag)) Epoch: [69][5350/10010] Time 0.314 (0.327) Data 0.001 (0.001) Loss 1.1604 (1.3879) Prec@1 71.875 (67.781) Prec@5 91.406 (86.558) Epoch: [69][5360/10010] Time 0.329 (0.327) Data 0.001 (0.001) Loss 1.0922 (1.3877) Prec@1 76.562 (67.786) Prec@5 88.281 (86.560) Epoch: [69][5370/10010] Time 0.321 (0.327) Data 0.000 (0.001) Loss 1.1739 (1.3877) Prec@1 69.531 (67.783) Prec@5 89.062 (86.559) Epoch: [69][5380/10010] Time 0.313 (0.327) Data 0.000 (0.001) Loss 1.3061 (1.3876) Prec@1 71.875 (67.786) Prec@5 86.719 (86.559) Epoch: [69][5390/10010] Time 0.325 (0.327) Data 0.001 (0.001) Loss 1.2023 (1.3877) Prec@1 69.531 (67.783) Prec@5 91.406 (86.557) Epoch: [69][5400/10010] Time 0.316 (0.327) Data 0.001 (0.001) Loss 1.4772 (1.3876) Prec@1 72.656 (67.787) Prec@5 82.812 (86.558) Epoch: [69][5410/10010] Time 0.319 (0.327) Data 0.000 (0.001) Loss 1.6931 (1.3878) Prec@1 66.406 (67.783) Prec@5 80.469 (86.558) Epoch: [69][5420/10010] Time 0.330 (0.327) Data 0.001 (0.001) Loss 1.3314 (1.3879) Prec@1 68.750 (67.780) Prec@5 88.281 (86.556) Epoch: [69][5430/10010] Time 0.331 (0.327) Data 0.001 (0.001) Loss 1.4256 (1.3878) Prec@1 69.531 (67.782) Prec@5 85.156 (86.555) Epoch: [69][5440/10010] Time 0.312 (0.327) Data 0.001 (0.001) Loss 1.2178 (1.3879) Prec@1 70.312 (67.780) Prec@5 90.625 (86.554) Epoch: [69][5450/10010] Time 0.328 (0.327) Data 0.000 (0.001) Loss 1.3227 (1.3880) Prec@1 66.406 (67.780) Prec@5 89.844 (86.553) Epoch: [69][5460/10010] Time 0.337 (0.327) Data 0.000 (0.001) Loss 1.6577 (1.3879) Prec@1 61.719 (67.780) Prec@5 78.125 (86.553) Epoch: [69][5470/10010] Time 0.335 (0.327) Data 0.001 (0.001) Loss 1.5793 (1.3879) Prec@1 64.062 (67.778) Prec@5 85.938 (86.554) Epoch: [69][5480/10010] Time 0.327 (0.327) Data 0.000 (0.001) Loss 1.2103 (1.3878) Prec@1 68.750 (67.779) Prec@5 87.500 (86.555) Epoch: [69][5490/10010] Time 0.320 (0.327) Data 0.000 (0.001) Loss 1.5865 (1.3877) Prec@1 68.750 (67.784) Prec@5 84.375 (86.556) Epoch: [69][5500/10010] Time 0.319 (0.327) Data 0.001 (0.001) Loss 1.6493 (1.3878) Prec@1 64.062 (67.783) Prec@5 83.594 (86.554) Epoch: [69][5510/10010] Time 0.337 (0.327) Data 0.001 (0.001) Loss 1.4490 (1.3879) Prec@1 63.281 (67.783) Prec@5 85.156 (86.552) Epoch: [69][5520/10010] Time 0.321 (0.326) Data 0.001 (0.001) Loss 1.6397 (1.3880) Prec@1 59.375 (67.778) Prec@5 81.250 (86.551) Epoch: [69][5530/10010] Time 0.335 (0.326) Data 0.001 (0.001) Loss 1.2758 (1.3881) Prec@1 71.094 (67.777) Prec@5 86.719 (86.546) Epoch: [69][5540/10010] Time 0.320 (0.326) Data 0.001 (0.001) Loss 1.3472 (1.3881) Prec@1 69.531 (67.775) Prec@5 84.375 (86.547) Epoch: [69][5550/10010] Time 0.323 (0.326) Data 0.001 (0.001) Loss 1.3526 (1.3883) Prec@1 69.531 (67.773) Prec@5 87.500 (86.543) Epoch: [69][5560/10010] Time 0.337 (0.326) Data 0.001 (0.001) Loss 1.1745 (1.3883) Prec@1 71.094 (67.772) Prec@5 89.844 (86.543) Epoch: [69][5570/10010] Time 0.329 (0.326) Data 0.001 (0.001) Loss 1.4112 (1.3883) Prec@1 67.969 (67.772) Prec@5 84.375 (86.542) Epoch: [69][5580/10010] Time 0.323 (0.326) Data 0.000 (0.001) Loss 1.2308 (1.3881) Prec@1 70.312 (67.774) Prec@5 86.719 (86.543) Epoch: [69][5590/10010] Time 0.331 (0.326) Data 0.001 (0.001) Loss 1.4315 (1.3881) Prec@1 67.969 (67.777) Prec@5 89.062 (86.544) Epoch: [69][5600/10010] Time 0.335 (0.326) Data 0.001 (0.001) Loss 1.5939 (1.3880) Prec@1 63.281 (67.777) Prec@5 82.031 (86.542) Epoch: [69][5610/10010] Time 0.322 (0.326) Data 0.001 (0.001) Loss 1.4448 (1.3879) Prec@1 71.094 (67.780) Prec@5 83.594 (86.543) Epoch: [69][5620/10010] Time 0.314 (0.326) Data 0.001 (0.001) Loss 1.4718 (1.3879) Prec@1 67.969 (67.784) Prec@5 82.031 (86.542) Epoch: [69][5630/10010] Time 0.327 (0.326) Data 0.000 (0.001) Loss 1.4047 (1.3880) Prec@1 71.875 (67.783) Prec@5 85.938 (86.540) Epoch: [69][5640/10010] Time 0.317 (0.326) Data 0.000 (0.001) Loss 1.2538 (1.3880) Prec@1 73.438 (67.783) Prec@5 87.500 (86.541) Epoch: [69][5650/10010] Time 0.321 (0.326) Data 0.000 (0.001) Loss 1.3938 (1.3880) Prec@1 64.844 (67.782) Prec@5 85.156 (86.540) Epoch: [69][5660/10010] Time 0.329 (0.326) Data 0.001 (0.001) Loss 1.5283 (1.3880) Prec@1 64.844 (67.783) Prec@5 84.375 (86.540) Epoch: [69][5670/10010] Time 0.322 (0.326) Data 0.001 (0.001) Loss 1.5337 (1.3882) Prec@1 60.938 (67.779) Prec@5 82.812 (86.538) Epoch: [69][5680/10010] Time 0.311 (0.326) Data 0.001 (0.001) Loss 1.1247 (1.3880) Prec@1 72.656 (67.783) Prec@5 90.625 (86.540) Epoch: [69][5690/10010] Time 0.317 (0.326) Data 0.001 (0.001) Loss 1.6011 (1.3881) Prec@1 67.969 (67.784) Prec@5 82.812 (86.542) Epoch: [69][5700/10010] Time 0.314 (0.326) Data 0.001 (0.001) Loss 1.4506 (1.3880) Prec@1 64.844 (67.784) Prec@5 85.156 (86.542) Epoch: [69][5710/10010] Time 0.328 (0.326) Data 0.001 (0.001) Loss 1.6230 (1.3881) Prec@1 63.281 (67.780) Prec@5 83.594 (86.540) Epoch: [69][5720/10010] Time 0.322 (0.326) Data 0.001 (0.001) Loss 1.2599 (1.3881) Prec@1 70.312 (67.781) Prec@5 89.062 (86.540) Epoch: [69][5730/10010] Time 0.338 (0.326) Data 0.000 (0.001) Loss 1.4255 (1.3883) Prec@1 63.281 (67.777) Prec@5 86.719 (86.539) Epoch: [69][5740/10010] Time 0.319 (0.326) Data 0.000 (0.001) Loss 1.4355 (1.3883) Prec@1 64.062 (67.774) Prec@5 85.156 (86.539) Epoch: [69][5750/10010] Time 0.328 (0.326) Data 0.001 (0.001) Loss 1.5429 (1.3886) Prec@1 63.281 (67.769) Prec@5 82.812 (86.536) Epoch: [69][5760/10010] Time 0.321 (0.326) Data 0.000 (0.001) Loss 1.3780 (1.3885) Prec@1 67.969 (67.770) Prec@5 88.281 (86.537) Epoch: [69][5770/10010] Time 0.339 (0.326) Data 0.001 (0.001) Loss 1.3927 (1.3886) Prec@1 64.844 (67.768) Prec@5 86.719 (86.537) Epoch: [69][5780/10010] Time 0.342 (0.326) Data 0.000 (0.001) Loss 1.2504 (1.3885) Prec@1 72.656 (67.769) Prec@5 89.062 (86.540) Epoch: [69][5790/10010] Time 0.336 (0.326) Data 0.001 (0.001) Loss 1.4009 (1.3886) Prec@1 67.188 (67.766) Prec@5 85.938 (86.538) Epoch: [69][5800/10010] Time 0.334 (0.326) Data 0.001 (0.001) Loss 1.5468 (1.3887) Prec@1 62.500 (67.765) Prec@5 85.938 (86.538) Epoch: [69][5810/10010] Time 0.338 (0.326) Data 0.001 (0.001) Loss 1.3834 (1.3886) Prec@1 68.750 (67.762) Prec@5 86.719 (86.539) Epoch: [69][5820/10010] Time 0.338 (0.326) Data 0.001 (0.001) Loss 1.5315 (1.3888) Prec@1 61.719 (67.758) Prec@5 84.375 (86.535) Epoch: [69][5830/10010] Time 0.312 (0.326) Data 0.001 (0.001) Loss 1.4791 (1.3888) Prec@1 67.188 (67.760) Prec@5 83.594 (86.534) Epoch: [69][5840/10010] Time 0.313 (0.326) Data 0.001 (0.001) Loss 1.2367 (1.3889) Prec@1 71.094 (67.758) Prec@5 89.062 (86.532) Epoch: [69][5850/10010] Time 0.324 (0.326) Data 0.001 (0.001) Loss 1.5129 (1.3888) Prec@1 64.062 (67.759) Prec@5 85.938 (86.535) Epoch: [69][5860/10010] Time 0.341 (0.326) Data 0.001 (0.001) Loss 1.3831 (1.3888) Prec@1 66.406 (67.759) Prec@5 87.500 (86.534) Epoch: [69][5870/10010] Time 0.336 (0.326) Data 0.001 (0.001) Loss 1.4132 (1.3890) Prec@1 64.062 (67.756) Prec@5 82.031 (86.530) Epoch: [69][5880/10010] Time 0.313 (0.326) Data 0.000 (0.001) Loss 1.3693 (1.3889) Prec@1 63.281 (67.757) Prec@5 83.594 (86.531) Epoch: [69][5890/10010] Time 0.325 (0.326) Data 0.001 (0.001) Loss 1.2950 (1.3890) Prec@1 74.219 (67.755) Prec@5 84.375 (86.529) Epoch: [69][5900/10010] Time 0.333 (0.326) Data 0.001 (0.001) Loss 1.3944 (1.3890) Prec@1 67.188 (67.756) Prec@5 85.938 (86.529) Epoch: [69][5910/10010] Time 0.324 (0.326) Data 0.001 (0.001) Loss 1.7261 (1.3891) Prec@1 64.062 (67.756) Prec@5 82.812 (86.529) Epoch: [69][5920/10010] Time 0.336 (0.326) Data 0.000 (0.001) Loss 1.4816 (1.3893) Prec@1 64.844 (67.753) Prec@5 84.375 (86.526) Epoch: [69][5930/10010] Time 0.318 (0.326) Data 0.000 (0.001) Loss 1.2837 (1.3892) Prec@1 67.188 (67.752) Prec@5 86.719 (86.526) Epoch: [69][5940/10010] Time 0.319 (0.326) Data 0.001 (0.001) Loss 1.1679 (1.3891) Prec@1 71.875 (67.753) Prec@5 85.156 (86.527) Epoch: [69][5950/10010] Time 0.342 (0.326) Data 0.001 (0.001) Loss 1.3966 (1.3892) Prec@1 67.969 (67.751) Prec@5 85.938 (86.526) Epoch: [69][5960/10010] Time 0.338 (0.326) Data 0.000 (0.001) Loss 1.2060 (1.3892) Prec@1 64.844 (67.749) Prec@5 90.625 (86.526) Epoch: [69][5970/10010] Time 0.320 (0.326) Data 0.001 (0.001) Loss 1.4246 (1.3891) Prec@1 64.062 (67.750) Prec@5 85.156 (86.525) Epoch: [69][5980/10010] Time 0.322 (0.326) Data 0.001 (0.001) Loss 1.2640 (1.3892) Prec@1 70.312 (67.748) Prec@5 89.844 (86.525) Epoch: [69][5990/10010] Time 0.313 (0.326) Data 0.001 (0.001) Loss 1.4685 (1.3893) Prec@1 63.281 (67.744) Prec@5 84.375 (86.522) Epoch: [69][6000/10010] Time 0.336 (0.326) Data 0.001 (0.001) Loss 1.5294 (1.3893) Prec@1 71.875 (67.745) Prec@5 85.156 (86.522) Epoch: [69][6010/10010] Time 0.323 (0.326) Data 0.001 (0.001) Loss 1.6156 (1.3894) Prec@1 61.719 (67.744) Prec@5 84.375 (86.524) Epoch: [69][6020/10010] Time 0.339 (0.326) Data 0.001 (0.001) Loss 1.1283 (1.3894) Prec@1 74.219 (67.743) Prec@5 86.719 (86.524) Epoch: [69][6030/10010] Time 0.331 (0.327) Data 0.001 (0.001) Loss 1.4341 (1.3892) Prec@1 67.188 (67.746) Prec@5 85.938 (86.528) Epoch: [69][6040/10010] Time 0.328 (0.326) Data 0.001 (0.001) Loss 1.5677 (1.3893) Prec@1 66.406 (67.743) Prec@5 82.031 (86.526) Epoch: [69][6050/10010] Time 0.330 (0.327) Data 0.001 (0.001) Loss 1.4724 (1.3893) Prec@1 64.062 (67.742) Prec@5 84.375 (86.525) Epoch: [69][6060/10010] Time 0.318 (0.327) Data 0.001 (0.001) Loss 1.5304 (1.3894) Prec@1 59.375 (67.739) Prec@5 85.938 (86.525) Epoch: [69][6070/10010] Time 0.331 (0.327) Data 0.001 (0.001) Loss 1.2039 (1.3894) Prec@1 74.219 (67.741) Prec@5 90.625 (86.526) Epoch: [69][6080/10010] Time 0.316 (0.327) Data 0.000 (0.001) Loss 1.5657 (1.3894) Prec@1 64.844 (67.741) Prec@5 85.156 (86.525) Epoch: [69][6090/10010] Time 0.329 (0.327) Data 0.000 (0.001) Loss 1.5140 (1.3895) Prec@1 65.625 (67.741) Prec@5 84.375 (86.525) Epoch: [69][6100/10010] Time 0.313 (0.327) Data 0.001 (0.001) Loss 1.6396 (1.3896) Prec@1 62.500 (67.738) Prec@5 82.812 (86.524) Epoch: [69][6110/10010] Time 0.336 (0.327) Data 0.001 (0.001) Loss 1.5181 (1.3898) Prec@1 64.844 (67.733) Prec@5 85.156 (86.521) Epoch: [69][6120/10010] Time 0.338 (0.327) Data 0.000 (0.001) Loss 1.1943 (1.3896) Prec@1 69.531 (67.738) Prec@5 87.500 (86.522) Epoch: [69][6130/10010] Time 0.322 (0.327) Data 0.001 (0.001) Loss 1.5201 (1.3896) Prec@1 64.062 (67.739) Prec@5 85.938 (86.522) Epoch: [69][6140/10010] Time 0.336 (0.327) Data 0.001 (0.001) Loss 1.2722 (1.3897) Prec@1 72.656 (67.737) Prec@5 85.938 (86.521) Epoch: [69][6150/10010] Time 0.325 (0.327) Data 0.001 (0.001) Loss 1.2973 (1.3896) Prec@1 68.750 (67.738) Prec@5 88.281 (86.522) Epoch: [69][6160/10010] Time 0.334 (0.327) Data 0.000 (0.001) Loss 1.3230 (1.3896) Prec@1 67.188 (67.737) Prec@5 89.844 (86.524) Epoch: [69][6170/10010] Time 0.317 (0.327) Data 0.001 (0.001) Loss 1.5165 (1.3896) Prec@1 64.844 (67.737) Prec@5 86.719 (86.523) Epoch: [69][6180/10010] Time 0.338 (0.327) Data 0.000 (0.001) Loss 1.3304 (1.3896) Prec@1 68.750 (67.736) Prec@5 86.719 (86.523) Epoch: [69][6190/10010] Time 0.319 (0.327) Data 0.001 (0.001) Loss 1.3192 (1.3896) Prec@1 69.531 (67.737) Prec@5 89.062 (86.524) Epoch: [69][6200/10010] Time 0.317 (0.327) Data 0.001 (0.001) Loss 1.4837 (1.3896) Prec@1 66.406 (67.736) Prec@5 83.594 (86.522) Epoch: [69][6210/10010] Time 0.340 (0.327) Data 0.001 (0.001) Loss 1.3464 (1.3897) Prec@1 70.312 (67.734) Prec@5 85.938 (86.522) Epoch: [69][6220/10010] Time 0.329 (0.327) Data 0.001 (0.001) Loss 1.5186 (1.3897) Prec@1 62.500 (67.733) Prec@5 86.719 (86.522) Epoch: [69][6230/10010] Time 0.331 (0.327) Data 0.001 (0.001) Loss 1.5821 (1.3897) Prec@1 64.844 (67.730) Prec@5 80.469 (86.521) Epoch: [69][6240/10010] Time 0.331 (0.327) Data 0.001 (0.001) Loss 1.4848 (1.3898) Prec@1 61.719 (67.727) Prec@5 87.500 (86.520) Epoch: [69][6250/10010] Time 0.333 (0.327) Data 0.000 (0.001) Loss 1.6258 (1.3900) Prec@1 64.062 (67.724) Prec@5 82.031 (86.517) Epoch: [69][6260/10010] Time 0.333 (0.327) Data 0.001 (0.001) Loss 1.6834 (1.3900) Prec@1 69.531 (67.724) Prec@5 85.938 (86.516) Epoch: [69][6270/10010] Time 0.321 (0.327) Data 0.000 (0.001) Loss 1.4138 (1.3899) Prec@1 72.656 (67.728) Prec@5 85.156 (86.517) Epoch: [69][6280/10010] Time 0.324 (0.327) Data 0.001 (0.001) Loss 1.6538 (1.3900) Prec@1 64.844 (67.727) Prec@5 82.031 (86.517) Epoch: [69][6290/10010] Time 0.322 (0.327) Data 0.001 (0.001) Loss 1.4836 (1.3900) Prec@1 64.844 (67.725) Prec@5 86.719 (86.515) Epoch: [69][6300/10010] Time 0.341 (0.327) Data 0.001 (0.001) Loss 1.2462 (1.3900) Prec@1 69.531 (67.727) Prec@5 89.062 (86.515) Epoch: [69][6310/10010] Time 0.340 (0.327) Data 0.000 (0.001) Loss 1.4963 (1.3901) Prec@1 60.156 (67.724) Prec@5 87.500 (86.515) Epoch: [69][6320/10010] Time 0.319 (0.327) Data 0.001 (0.001) Loss 1.3741 (1.3902) Prec@1 64.844 (67.721) Prec@5 86.719 (86.515) Epoch: [69][6330/10010] Time 0.332 (0.327) Data 0.001 (0.001) Loss 1.3754 (1.3901) Prec@1 70.312 (67.722) Prec@5 88.281 (86.517) Epoch: [69][6340/10010] Time 0.326 (0.327) Data 0.000 (0.001) Loss 1.5992 (1.3900) Prec@1 61.719 (67.721) Prec@5 86.719 (86.520) Epoch: [69][6350/10010] Time 0.334 (0.327) Data 0.000 (0.001) Loss 1.5497 (1.3900) Prec@1 66.406 (67.724) Prec@5 81.250 (86.518) Epoch: [69][6360/10010] Time 0.338 (0.327) Data 0.001 (0.001) Loss 1.5224 (1.3900) Prec@1 65.625 (67.723) Prec@5 82.812 (86.518) Epoch: [69][6370/10010] Time 0.313 (0.327) Data 0.001 (0.001) Loss 1.4907 (1.3899) Prec@1 66.406 (67.724) Prec@5 82.031 (86.519) Epoch: [69][6380/10010] Time 0.332 (0.327) Data 0.001 (0.001) Loss 1.4474 (1.3900) Prec@1 65.625 (67.721) Prec@5 87.500 (86.519) Epoch: [69][6390/10010] Time 0.323 (0.327) Data 0.000 (0.001) Loss 1.4187 (1.3900) Prec@1 67.969 (67.722) Prec@5 85.938 (86.519) Epoch: [69][6400/10010] Time 0.332 (0.327) Data 0.000 (0.001) Loss 1.2040 (1.3900) Prec@1 72.656 (67.722) Prec@5 89.844 (86.518) Epoch: [69][6410/10010] Time 0.340 (0.327) Data 0.001 (0.001) Loss 1.2339 (1.3899) Prec@1 75.000 (67.725) Prec@5 86.719 (86.521) Epoch: [69][6420/10010] Time 0.313 (0.327) Data 0.001 (0.001) Loss 1.2395 (1.3898) Prec@1 69.531 (67.727) Prec@5 88.281 (86.524) Epoch: [69][6430/10010] Time 0.327 (0.327) Data 0.000 (0.001) Loss 1.5425 (1.3899) Prec@1 63.281 (67.726) Prec@5 86.719 (86.523) Epoch: [69][6440/10010] Time 0.338 (0.327) Data 0.000 (0.001) Loss 1.4022 (1.3900) Prec@1 72.656 (67.728) Prec@5 86.719 (86.523) Epoch: [69][6450/10010] Time 0.317 (0.327) Data 0.001 (0.001) Loss 1.6277 (1.3899) Prec@1 62.500 (67.728) Prec@5 79.688 (86.523) Epoch: [69][6460/10010] Time 0.312 (0.327) Data 0.001 (0.001) Loss 1.3771 (1.3899) Prec@1 66.406 (67.729) Prec@5 85.156 (86.524) Epoch: [69][6470/10010] Time 0.316 (0.327) Data 0.001 (0.001) Loss 1.1142 (1.3898) Prec@1 72.656 (67.730) Prec@5 92.188 (86.525) Epoch: [69][6480/10010] Time 0.344 (0.327) Data 0.001 (0.001) Loss 1.3010 (1.3898) Prec@1 70.312 (67.728) Prec@5 86.719 (86.525) Epoch: [69][6490/10010] Time 0.338 (0.327) Data 0.001 (0.001) Loss 1.5828 (1.3899) Prec@1 67.188 (67.727) Prec@5 83.594 (86.525) Epoch: [69][6500/10010] Time 0.331 (0.327) Data 0.001 (0.001) Loss 1.1202 (1.3900) Prec@1 77.344 (67.727) Prec@5 91.406 (86.523) Epoch: [69][6510/10010] Time 0.341 (0.327) Data 0.001 (0.001) Loss 1.3955 (1.3900) Prec@1 67.188 (67.728) Prec@5 87.500 (86.524) Epoch: [69][6520/10010] Time 0.324 (0.327) Data 0.001 (0.001) Loss 1.2487 (1.3900) Prec@1 67.969 (67.727) Prec@5 87.500 (86.522) Epoch: [69][6530/10010] Time 0.343 (0.327) Data 0.000 (0.001) Loss 1.1295 (1.3899) Prec@1 71.875 (67.730) Prec@5 91.406 (86.523) Epoch: [69][6540/10010] Time 0.315 (0.327) Data 0.001 (0.001) Loss 1.4073 (1.3898) Prec@1 64.844 (67.730) Prec@5 90.625 (86.525) Epoch: [69][6550/10010] Time 0.324 (0.327) Data 0.001 (0.001) Loss 1.0925 (1.3897) Prec@1 71.875 (67.732) Prec@5 89.844 (86.526) Epoch: [69][6560/10010] Time 0.319 (0.327) Data 0.000 (0.001) Loss 1.2389 (1.3898) Prec@1 74.219 (67.732) Prec@5 88.281 (86.525) Epoch: [69][6570/10010] Time 0.340 (0.327) Data 0.001 (0.001) Loss 1.3845 (1.3897) Prec@1 67.188 (67.730) Prec@5 87.500 (86.525) Epoch: [69][6580/10010] Time 0.321 (0.327) Data 0.001 (0.001) Loss 1.2553 (1.3897) Prec@1 72.656 (67.730) Prec@5 87.500 (86.525) Epoch: [69][6590/10010] Time 0.339 (0.327) Data 0.000 (0.001) Loss 1.3412 (1.3897) Prec@1 68.750 (67.731) Prec@5 89.062 (86.525) Epoch: [69][6600/10010] Time 0.334 (0.327) Data 0.001 (0.001) Loss 1.1306 (1.3897) Prec@1 78.906 (67.729) Prec@5 89.844 (86.523) Epoch: [69][6610/10010] Time 0.318 (0.327) Data 0.000 (0.001) Loss 1.5037 (1.3898) Prec@1 60.938 (67.727) Prec@5 82.812 (86.521) Epoch: [69][6620/10010] Time 0.337 (0.327) Data 0.000 (0.001) Loss 1.1048 (1.3898) Prec@1 70.312 (67.727) Prec@5 89.062 (86.521) Epoch: [69][6630/10010] Time 0.338 (0.327) Data 0.000 (0.001) Loss 1.4828 (1.3900) Prec@1 65.625 (67.725) Prec@5 83.594 (86.520) Epoch: [69][6640/10010] Time 0.328 (0.327) Data 0.001 (0.001) Loss 1.0509 (1.3900) Prec@1 78.906 (67.724) Prec@5 89.844 (86.519) Epoch: [69][6650/10010] Time 0.316 (0.327) Data 0.001 (0.001) Loss 1.3984 (1.3899) Prec@1 65.625 (67.724) Prec@5 86.719 (86.521) Epoch: [69][6660/10010] Time 0.321 (0.327) Data 0.001 (0.001) Loss 1.5222 (1.3900) Prec@1 64.062 (67.726) Prec@5 83.594 (86.520) Epoch: [69][6670/10010] Time 0.333 (0.327) Data 0.000 (0.001) Loss 1.4321 (1.3900) Prec@1 66.406 (67.724) Prec@5 82.812 (86.519) Epoch: [69][6680/10010] Time 0.332 (0.327) Data 0.001 (0.001) Loss 1.5309 (1.3901) Prec@1 64.062 (67.724) Prec@5 85.156 (86.520) Epoch: [69][6690/10010] Time 0.333 (0.327) Data 0.001 (0.001) Loss 1.6482 (1.3901) Prec@1 60.156 (67.723) Prec@5 82.031 (86.519) Epoch: [69][6700/10010] Time 0.342 (0.327) Data 0.001 (0.001) Loss 1.4608 (1.3902) Prec@1 60.938 (67.721) Prec@5 85.938 (86.518) Epoch: [69][6710/10010] Time 0.338 (0.327) Data 0.000 (0.001) Loss 1.5318 (1.3903) Prec@1 64.062 (67.721) Prec@5 83.594 (86.518) Epoch: [69][6720/10010] Time 0.333 (0.327) Data 0.000 (0.001) Loss 1.1285 (1.3903) Prec@1 69.531 (67.719) Prec@5 88.281 (86.518) Epoch: [69][6730/10010] Time 0.340 (0.327) Data 0.000 (0.001) Loss 1.3368 (1.3903) Prec@1 73.438 (67.718) Prec@5 85.938 (86.517) Epoch: [69][6740/10010] Time 0.315 (0.327) Data 0.001 (0.001) Loss 1.2743 (1.3903) Prec@1 75.781 (67.723) Prec@5 86.719 (86.517) Epoch: [69][6750/10010] Time 0.336 (0.327) Data 0.000 (0.001) Loss 1.5794 (1.3902) Prec@1 64.062 (67.724) Prec@5 81.250 (86.516) Epoch: [69][6760/10010] Time 0.325 (0.327) Data 0.001 (0.001) Loss 1.5453 (1.3901) Prec@1 69.531 (67.725) Prec@5 83.594 (86.517) Epoch: [69][6770/10010] Time 0.329 (0.327) Data 0.000 (0.001) Loss 1.3110 (1.3902) Prec@1 67.188 (67.723) Prec@5 89.844 (86.517) Epoch: [69][6780/10010] Time 0.339 (0.327) Data 0.001 (0.001) Loss 1.4528 (1.3902) Prec@1 64.062 (67.720) Prec@5 85.156 (86.516) Epoch: [69][6790/10010] Time 0.341 (0.327) Data 0.000 (0.001) Loss 1.2397 (1.3903) Prec@1 68.750 (67.719) Prec@5 87.500 (86.515) Epoch: [69][6800/10010] Time 0.343 (0.327) Data 0.000 (0.001) Loss 1.5635 (1.3902) Prec@1 69.531 (67.721) Prec@5 85.156 (86.516) Epoch: [69][6810/10010] Time 0.317 (0.327) Data 0.001 (0.001) Loss 1.4794 (1.3902) Prec@1 61.719 (67.721) Prec@5 84.375 (86.517) Epoch: [69][6820/10010] Time 0.313 (0.327) Data 0.000 (0.001) Loss 1.2605 (1.3901) Prec@1 68.750 (67.724) Prec@5 86.719 (86.517) Epoch: [69][6830/10010] Time 0.326 (0.327) Data 0.001 (0.001) Loss 1.2950 (1.3901) Prec@1 71.094 (67.722) Prec@5 90.625 (86.518) Epoch: [69][6840/10010] Time 0.313 (0.327) Data 0.001 (0.001) Loss 1.5420 (1.3902) Prec@1 60.938 (67.720) Prec@5 82.031 (86.516) Epoch: [69][6850/10010] Time 0.322 (0.327) Data 0.001 (0.001) Loss 1.5016 (1.3901) Prec@1 67.188 (67.719) Prec@5 85.156 (86.518) Epoch: [69][6860/10010] Time 0.309 (0.327) Data 0.001 (0.001) Loss 1.7843 (1.3901) Prec@1 60.156 (67.719) Prec@5 82.031 (86.517) Epoch: [69][6870/10010] Time 0.311 (0.327) Data 0.001 (0.001) Loss 1.3138 (1.3902) Prec@1 69.531 (67.716) Prec@5 88.281 (86.515) Epoch: [69][6880/10010] Time 0.320 (0.327) Data 0.001 (0.001) Loss 1.5410 (1.3903) Prec@1 60.938 (67.714) Prec@5 85.938 (86.515) Epoch: [69][6890/10010] Time 0.335 (0.327) Data 0.001 (0.001) Loss 1.4454 (1.3904) Prec@1 67.188 (67.712) Prec@5 84.375 (86.513) Epoch: [69][6900/10010] Time 0.338 (0.327) Data 0.001 (0.001) Loss 1.3763 (1.3904) Prec@1 70.312 (67.713) Prec@5 83.594 (86.512) Epoch: [69][6910/10010] Time 0.310 (0.327) Data 0.000 (0.001) Loss 1.6772 (1.3905) Prec@1 65.625 (67.714) Prec@5 81.250 (86.511) Epoch: [69][6920/10010] Time 0.322 (0.327) Data 0.000 (0.001) Loss 1.2879 (1.3904) Prec@1 71.875 (67.717) Prec@5 86.719 (86.513) Epoch: [69][6930/10010] Time 0.328 (0.327) Data 0.001 (0.001) Loss 1.6147 (1.3904) Prec@1 63.281 (67.716) Prec@5 80.469 (86.511) Epoch: [69][6940/10010] Time 0.333 (0.327) Data 0.000 (0.001) Loss 1.1651 (1.3903) Prec@1 74.219 (67.718) Prec@5 89.844 (86.512) Epoch: [69][6950/10010] Time 0.339 (0.327) Data 0.001 (0.001) Loss 1.3846 (1.3903) Prec@1 67.188 (67.717) Prec@5 85.156 (86.513) Epoch: [69][6960/10010] Time 0.324 (0.327) Data 0.001 (0.001) Loss 1.3296 (1.3903) Prec@1 63.281 (67.715) Prec@5 88.281 (86.511) Epoch: [69][6970/10010] Time 0.331 (0.327) Data 0.001 (0.001) Loss 1.2662 (1.3902) Prec@1 64.062 (67.716) Prec@5 88.281 (86.513) Epoch: [69][6980/10010] Time 0.324 (0.327) Data 0.000 (0.001) Loss 1.7885 (1.3902) Prec@1 54.688 (67.711) Prec@5 80.469 (86.513) Epoch: [69][6990/10010] Time 0.323 (0.327) Data 0.001 (0.001) Loss 1.4291 (1.3902) Prec@1 63.281 (67.713) Prec@5 87.500 (86.513) Epoch: [69][7000/10010] Time 0.330 (0.327) Data 0.000 (0.001) Loss 1.3793 (1.3902) Prec@1 69.531 (67.713) Prec@5 86.719 (86.514) Epoch: [69][7010/10010] Time 0.320 (0.327) Data 0.001 (0.001) Loss 1.4187 (1.3902) Prec@1 67.969 (67.714) Prec@5 87.500 (86.513) Epoch: [69][7020/10010] Time 0.340 (0.327) Data 0.000 (0.001) Loss 1.5781 (1.3902) Prec@1 65.625 (67.711) Prec@5 82.812 (86.513) Epoch: [69][7030/10010] Time 0.329 (0.327) Data 0.001 (0.001) Loss 1.4953 (1.3903) Prec@1 63.281 (67.709) Prec@5 83.594 (86.511) Epoch: [69][7040/10010] Time 0.318 (0.327) Data 0.001 (0.001) Loss 1.3088 (1.3904) Prec@1 66.406 (67.707) Prec@5 85.156 (86.510) Epoch: [69][7050/10010] Time 0.328 (0.327) Data 0.001 (0.001) Loss 1.1118 (1.3904) Prec@1 71.875 (67.707) Prec@5 92.969 (86.509) /data/vision/torralba/deepscene/lib/anaconda2/lib/python2.7/site-packages/PIL/TiffImagePlugin.py:692: UserWarning: Possibly corrupt EXIF data. Expecting to read 2555904 bytes but only got 0. Skipping tag 0 "Skipping tag %s" % (size, len(data), tag)) Epoch: [69][7060/10010] Time 0.332 (0.327) Data 0.000 (0.001) Loss 1.2976 (1.3905) Prec@1 71.875 (67.704) Prec@5 89.062 (86.507) Epoch: [69][7070/10010] Time 0.328 (0.327) Data 0.001 (0.001) Loss 1.3121 (1.3905) Prec@1 73.438 (67.706) Prec@5 88.281 (86.507) Epoch: [69][7080/10010] Time 0.320 (0.327) Data 0.001 (0.001) Loss 1.3940 (1.3906) Prec@1 71.094 (67.707) Prec@5 87.500 (86.506) Epoch: [69][7090/10010] Time 0.327 (0.327) Data 0.001 (0.001) Loss 1.2911 (1.3906) Prec@1 75.000 (67.709) Prec@5 89.062 (86.507) Epoch: [69][7100/10010] Time 0.324 (0.327) Data 0.001 (0.001) Loss 1.3523 (1.3905) Prec@1 66.406 (67.710) Prec@5 87.500 (86.508) Epoch: [69][7110/10010] Time 0.332 (0.327) Data 0.001 (0.001) Loss 1.1772 (1.3906) Prec@1 76.562 (67.708) Prec@5 88.281 (86.505) Epoch: [69][7120/10010] Time 0.323 (0.327) Data 0.000 (0.001) Loss 1.4781 (1.3906) Prec@1 66.406 (67.707) Prec@5 86.719 (86.506) Epoch: [69][7130/10010] Time 0.334 (0.327) Data 0.001 (0.001) Loss 1.4077 (1.3905) Prec@1 62.500 (67.707) Prec@5 85.156 (86.508) Epoch: [69][7140/10010] Time 0.331 (0.327) Data 0.000 (0.001) Loss 1.3113 (1.3906) Prec@1 71.094 (67.707) Prec@5 89.062 (86.506) Epoch: [69][7150/10010] Time 0.326 (0.327) Data 0.000 (0.001) Loss 1.5868 (1.3907) Prec@1 64.062 (67.705) Prec@5 85.938 (86.505) Epoch: [69][7160/10010] Time 0.331 (0.327) Data 0.001 (0.001) Loss 1.4501 (1.3907) Prec@1 67.188 (67.704) Prec@5 86.719 (86.505) Epoch: [69][7170/10010] Time 0.338 (0.327) Data 0.000 (0.001) Loss 1.7326 (1.3907) Prec@1 57.031 (67.704) Prec@5 83.594 (86.506) Epoch: [69][7180/10010] Time 0.322 (0.327) Data 0.001 (0.001) Loss 1.3945 (1.3908) Prec@1 69.531 (67.704) Prec@5 88.281 (86.505) Epoch: [69][7190/10010] Time 0.316 (0.327) Data 0.001 (0.001) Loss 1.4105 (1.3909) Prec@1 69.531 (67.703) Prec@5 87.500 (86.505) Epoch: [69][7200/10010] Time 0.335 (0.327) Data 0.000 (0.001) Loss 1.2667 (1.3909) Prec@1 68.750 (67.704) Prec@5 86.719 (86.503) Epoch: [69][7210/10010] Time 0.339 (0.327) Data 0.000 (0.001) Loss 1.4235 (1.3908) Prec@1 63.281 (67.705) Prec@5 87.500 (86.503) Epoch: [69][7220/10010] Time 0.332 (0.327) Data 0.000 (0.001) Loss 1.3563 (1.3910) Prec@1 67.188 (67.703) Prec@5 89.844 (86.502) Epoch: [69][7230/10010] Time 0.343 (0.327) Data 0.000 (0.001) Loss 1.3147 (1.3910) Prec@1 63.281 (67.700) Prec@5 89.062 (86.502) Epoch: [69][7240/10010] Time 0.338 (0.327) Data 0.001 (0.001) Loss 1.3690 (1.3909) Prec@1 67.969 (67.701) Prec@5 84.375 (86.503) Epoch: [69][7250/10010] Time 0.315 (0.327) Data 0.001 (0.001) Loss 1.3173 (1.3909) Prec@1 66.406 (67.700) Prec@5 86.719 (86.503) Epoch: [69][7260/10010] Time 0.336 (0.327) Data 0.000 (0.001) Loss 1.3654 (1.3909) Prec@1 67.188 (67.697) Prec@5 85.156 (86.502) /data/vision/torralba/deepscene/lib/anaconda2/lib/python2.7/site-packages/PIL/TiffImagePlugin.py:709: UserWarning: Corrupt EXIF data. Expecting to read 4 bytes but only got 0. warnings.warn(str(msg)) Epoch: [69][7270/10010] Time 0.336 (0.327) Data 0.000 (0.001) Loss 1.7229 (1.3910) Prec@1 60.938 (67.693) Prec@5 82.031 (86.502) Epoch: [69][7280/10010] Time 0.319 (0.327) Data 0.000 (0.001) Loss 1.2710 (1.3910) Prec@1 71.875 (67.693) Prec@5 87.500 (86.501) Epoch: [69][7290/10010] Time 0.332 (0.327) Data 0.001 (0.001) Loss 1.3900 (1.3911) Prec@1 64.844 (67.692) Prec@5 88.281 (86.500) Epoch: [69][7300/10010] Time 0.315 (0.327) Data 0.001 (0.001) Loss 1.3683 (1.3912) Prec@1 71.094 (67.690) Prec@5 83.594 (86.499) Epoch: [69][7310/10010] Time 0.318 (0.327) Data 0.001 (0.001) Loss 1.5973 (1.3911) Prec@1 60.938 (67.689) Prec@5 82.812 (86.500) Epoch: [69][7320/10010] Time 0.320 (0.327) Data 0.001 (0.001) Loss 1.4180 (1.3911) Prec@1 69.531 (67.688) Prec@5 87.500 (86.500) Epoch: [69][7330/10010] Time 0.335 (0.327) Data 0.001 (0.001) Loss 1.2509 (1.3910) Prec@1 69.531 (67.689) Prec@5 87.500 (86.502) Epoch: [69][7340/10010] Time 0.317 (0.327) Data 0.001 (0.001) Loss 1.3208 (1.3909) Prec@1 71.875 (67.692) Prec@5 87.500 (86.503) Epoch: [69][7350/10010] Time 0.328 (0.327) Data 0.000 (0.001) Loss 1.4547 (1.3910) Prec@1 66.406 (67.690) Prec@5 85.938 (86.502) Epoch: [69][7360/10010] Time 0.335 (0.327) Data 0.001 (0.001) Loss 1.4710 (1.3909) Prec@1 71.875 (67.692) Prec@5 82.031 (86.502) Epoch: [69][7370/10010] Time 0.311 (0.327) Data 0.001 (0.001) Loss 1.4801 (1.3909) Prec@1 64.844 (67.693) Prec@5 83.594 (86.501) Epoch: [69][7380/10010] Time 0.318 (0.327) Data 0.001 (0.001) Loss 1.3228 (1.3909) Prec@1 70.312 (67.693) Prec@5 83.594 (86.501) Epoch: [69][7390/10010] Time 0.337 (0.327) Data 0.000 (0.001) Loss 1.3887 (1.3909) Prec@1 65.625 (67.692) Prec@5 85.938 (86.501) Epoch: [69][7400/10010] Time 0.333 (0.327) Data 0.001 (0.001) Loss 1.3965 (1.3910) Prec@1 68.750 (67.692) Prec@5 89.844 (86.500) Epoch: [69][7410/10010] Time 0.336 (0.327) Data 0.001 (0.001) Loss 1.2837 (1.3909) Prec@1 71.875 (67.695) Prec@5 90.625 (86.502) Epoch: [69][7420/10010] Time 0.338 (0.327) Data 0.001 (0.001) Loss 1.6188 (1.3909) Prec@1 65.625 (67.693) Prec@5 80.469 (86.500) Epoch: [69][7430/10010] Time 0.316 (0.327) Data 0.001 (0.001) Loss 1.5261 (1.3909) Prec@1 67.188 (67.693) Prec@5 85.938 (86.500) Epoch: [69][7440/10010] Time 0.331 (0.327) Data 0.001 (0.001) Loss 1.2431 (1.3909) Prec@1 74.219 (67.694) Prec@5 87.500 (86.498) Epoch: [69][7450/10010] Time 0.339 (0.327) Data 0.001 (0.001) Loss 1.3212 (1.3909) Prec@1 63.281 (67.694) Prec@5 87.500 (86.498) Epoch: [69][7460/10010] Time 0.314 (0.327) Data 0.001 (0.001) Loss 1.3865 (1.3910) Prec@1 64.062 (67.690) Prec@5 90.625 (86.497) Epoch: [69][7470/10010] Time 0.313 (0.327) Data 0.001 (0.001) Loss 1.4529 (1.3910) Prec@1 65.625 (67.691) Prec@5 85.156 (86.497) Epoch: [69][7480/10010] Time 0.336 (0.327) Data 0.000 (0.001) Loss 1.3225 (1.3911) Prec@1 67.969 (67.690) Prec@5 88.281 (86.496) Epoch: [69][7490/10010] Time 0.316 (0.327) Data 0.000 (0.001) Loss 1.5736 (1.3911) Prec@1 65.625 (67.691) Prec@5 84.375 (86.497) Epoch: [69][7500/10010] Time 0.327 (0.327) Data 0.000 (0.001) Loss 1.3721 (1.3911) Prec@1 65.625 (67.691) Prec@5 85.156 (86.496) Epoch: [69][7510/10010] Time 0.336 (0.327) Data 0.001 (0.001) Loss 1.4443 (1.3911) Prec@1 64.844 (67.689) Prec@5 87.500 (86.496) Epoch: [69][7520/10010] Time 0.330 (0.327) Data 0.001 (0.001) Loss 1.5167 (1.3912) Prec@1 61.719 (67.687) Prec@5 82.031 (86.494) Epoch: [69][7530/10010] Time 0.338 (0.327) Data 0.001 (0.001) Loss 1.4595 (1.3912) Prec@1 69.531 (67.687) Prec@5 87.500 (86.494) Epoch: [69][7540/10010] Time 0.322 (0.327) Data 0.000 (0.001) Loss 1.6517 (1.3912) Prec@1 59.375 (67.687) Prec@5 82.031 (86.493) Epoch: [69][7550/10010] Time 0.340 (0.327) Data 0.001 (0.001) Loss 1.7217 (1.3912) Prec@1 57.031 (67.687) Prec@5 82.812 (86.491) Epoch: [69][7560/10010] Time 0.323 (0.327) Data 0.000 (0.001) Loss 1.3310 (1.3912) Prec@1 73.438 (67.687) Prec@5 85.156 (86.490) Epoch: [69][7570/10010] Time 0.319 (0.327) Data 0.000 (0.001) Loss 1.4078 (1.3913) Prec@1 60.156 (67.685) Prec@5 85.156 (86.490) Epoch: [69][7580/10010] Time 0.336 (0.327) Data 0.000 (0.001) Loss 1.5650 (1.3913) Prec@1 60.938 (67.683) Prec@5 83.594 (86.489) Epoch: [69][7590/10010] Time 0.325 (0.327) Data 0.001 (0.001) Loss 1.0432 (1.3913) Prec@1 76.562 (67.687) Prec@5 91.406 (86.490) Epoch: [69][7600/10010] Time 0.325 (0.327) Data 0.001 (0.001) Loss 1.5036 (1.3913) Prec@1 63.281 (67.687) Prec@5 84.375 (86.490) Epoch: [69][7610/10010] Time 0.324 (0.327) Data 0.000 (0.001) Loss 1.7558 (1.3913) Prec@1 61.719 (67.687) Prec@5 81.250 (86.489) Epoch: [69][7620/10010] Time 0.317 (0.327) Data 0.001 (0.001) Loss 1.3912 (1.3913) Prec@1 65.625 (67.687) Prec@5 88.281 (86.490) Epoch: [69][7630/10010] Time 0.316 (0.327) Data 0.001 (0.001) Loss 1.3137 (1.3912) Prec@1 67.188 (67.692) Prec@5 89.062 (86.491) Epoch: [69][7640/10010] Time 0.321 (0.327) Data 0.001 (0.001) Loss 1.6850 (1.3912) Prec@1 60.938 (67.688) Prec@5 82.812 (86.488) Epoch: [69][7650/10010] Time 0.324 (0.327) Data 0.001 (0.001) Loss 1.1401 (1.3913) Prec@1 73.438 (67.687) Prec@5 90.625 (86.486) Epoch: [69][7660/10010] Time 0.333 (0.327) Data 0.001 (0.001) Loss 1.6187 (1.3913) Prec@1 64.062 (67.688) Prec@5 85.938 (86.487) Epoch: [69][7670/10010] Time 0.330 (0.327) Data 0.001 (0.001) Loss 1.3120 (1.3913) Prec@1 68.750 (67.688) Prec@5 87.500 (86.486) Epoch: [69][7680/10010] Time 0.317 (0.327) Data 0.001 (0.001) Loss 1.5630 (1.3913) Prec@1 64.844 (67.687) Prec@5 84.375 (86.486) Epoch: [69][7690/10010] Time 0.318 (0.327) Data 0.001 (0.001) Loss 1.5043 (1.3914) Prec@1 68.750 (67.686) Prec@5 83.594 (86.483) Epoch: [69][7700/10010] Time 0.339 (0.327) Data 0.000 (0.001) Loss 1.5195 (1.3914) Prec@1 64.844 (67.686) Prec@5 89.062 (86.484) Epoch: [69][7710/10010] Time 0.311 (0.327) Data 0.001 (0.001) Loss 1.1556 (1.3913) Prec@1 74.219 (67.687) Prec@5 90.625 (86.485) Epoch: [69][7720/10010] Time 0.324 (0.327) Data 0.001 (0.001) Loss 1.3257 (1.3913) Prec@1 69.531 (67.687) Prec@5 88.281 (86.486) Epoch: [69][7730/10010] Time 0.336 (0.327) Data 0.000 (0.001) Loss 1.3772 (1.3913) Prec@1 63.281 (67.688) Prec@5 85.156 (86.486) Epoch: [69][7740/10010] Time 0.318 (0.327) Data 0.000 (0.001) Loss 1.2954 (1.3914) Prec@1 67.188 (67.686) Prec@5 86.719 (86.486) Epoch: [69][7750/10010] Time 0.317 (0.327) Data 0.001 (0.001) Loss 1.2980 (1.3913) Prec@1 72.656 (67.686) Prec@5 87.500 (86.488) Epoch: [69][7760/10010] Time 0.335 (0.327) Data 0.001 (0.001) Loss 1.6889 (1.3914) Prec@1 60.156 (67.683) Prec@5 81.250 (86.486) Epoch: [69][7770/10010] Time 0.322 (0.327) Data 0.001 (0.001) Loss 1.2860 (1.3915) Prec@1 72.656 (67.682) Prec@5 90.625 (86.487) Epoch: [69][7780/10010] Time 0.324 (0.327) Data 0.000 (0.001) Loss 1.4930 (1.3916) Prec@1 62.500 (67.681) Prec@5 84.375 (86.485) Epoch: [69][7790/10010] Time 0.325 (0.327) Data 0.001 (0.001) Loss 1.6913 (1.3916) Prec@1 63.281 (67.681) Prec@5 80.469 (86.485) Epoch: [69][7800/10010] Time 0.324 (0.327) Data 0.000 (0.001) Loss 1.5735 (1.3916) Prec@1 68.750 (67.680) Prec@5 82.812 (86.485) Epoch: [69][7810/10010] Time 0.321 (0.327) Data 0.001 (0.001) Loss 1.7455 (1.3916) Prec@1 60.156 (67.680) Prec@5 79.688 (86.484) Epoch: [69][7820/10010] Time 0.321 (0.327) Data 0.000 (0.001) Loss 1.1389 (1.3916) Prec@1 68.750 (67.680) Prec@5 94.531 (86.484) Epoch: [69][7830/10010] Time 0.323 (0.327) Data 0.000 (0.001) Loss 1.5744 (1.3916) Prec@1 64.844 (67.680) Prec@5 82.812 (86.484) Epoch: [69][7840/10010] Time 0.320 (0.327) Data 0.000 (0.001) Loss 1.5156 (1.3916) Prec@1 61.719 (67.679) Prec@5 84.375 (86.483) Epoch: [69][7850/10010] Time 0.318 (0.327) Data 0.000 (0.001) Loss 1.3425 (1.3915) Prec@1 73.438 (67.682) Prec@5 85.938 (86.484) Epoch: [69][7860/10010] Time 0.319 (0.327) Data 0.001 (0.001) Loss 1.1452 (1.3915) Prec@1 72.656 (67.685) Prec@5 89.844 (86.485) Epoch: [69][7870/10010] Time 0.324 (0.327) Data 0.001 (0.001) Loss 1.6528 (1.3916) Prec@1 62.500 (67.683) Prec@5 83.594 (86.485) Epoch: [69][7880/10010] Time 0.331 (0.327) Data 0.001 (0.001) Loss 1.4865 (1.3917) Prec@1 66.406 (67.682) Prec@5 85.156 (86.484) Epoch: [69][7890/10010] Time 0.325 (0.327) Data 0.001 (0.001) Loss 1.3734 (1.3917) Prec@1 63.281 (67.681) Prec@5 88.281 (86.485) Epoch: [69][7900/10010] Time 0.328 (0.327) Data 0.000 (0.001) Loss 1.4690 (1.3917) Prec@1 65.625 (67.680) Prec@5 84.375 (86.484) Epoch: [69][7910/10010] Time 0.336 (0.327) Data 0.000 (0.001) Loss 1.4400 (1.3917) Prec@1 65.625 (67.678) Prec@5 82.031 (86.482) Epoch: [69][7920/10010] Time 0.327 (0.327) Data 0.001 (0.001) Loss 1.5005 (1.3918) Prec@1 59.375 (67.676) Prec@5 86.719 (86.481) Epoch: [69][7930/10010] Time 0.327 (0.327) Data 0.001 (0.001) Loss 1.3715 (1.3919) Prec@1 65.625 (67.676) Prec@5 85.938 (86.479) Epoch: [69][7940/10010] Time 0.322 (0.327) Data 0.000 (0.001) Loss 1.3748 (1.3919) Prec@1 65.625 (67.676) Prec@5 87.500 (86.479) Epoch: [69][7950/10010] Time 0.338 (0.327) Data 0.001 (0.001) Loss 1.2526 (1.3918) Prec@1 75.781 (67.677) Prec@5 87.500 (86.479) Epoch: [69][7960/10010] Time 0.321 (0.327) Data 0.001 (0.001) Loss 1.4764 (1.3918) Prec@1 69.531 (67.679) Prec@5 83.594 (86.478) Epoch: [69][7970/10010] Time 0.335 (0.327) Data 0.000 (0.001) Loss 1.5340 (1.3918) Prec@1 64.844 (67.680) Prec@5 85.156 (86.478) Epoch: [69][7980/10010] Time 0.326 (0.327) Data 0.000 (0.001) Loss 1.3451 (1.3918) Prec@1 66.406 (67.679) Prec@5 85.938 (86.478) Epoch: [69][7990/10010] Time 0.325 (0.327) Data 0.000 (0.001) Loss 1.5898 (1.3918) Prec@1 60.938 (67.678) Prec@5 85.156 (86.478) Epoch: [69][8000/10010] Time 0.331 (0.327) Data 0.001 (0.001) Loss 1.3951 (1.3918) Prec@1 67.969 (67.679) Prec@5 85.156 (86.478) Epoch: [69][8010/10010] Time 0.331 (0.327) Data 0.001 (0.001) Loss 1.4404 (1.3918) Prec@1 69.531 (67.679) Prec@5 82.812 (86.477) Epoch: [69][8020/10010] Time 0.323 (0.327) Data 0.001 (0.001) Loss 1.6863 (1.3918) Prec@1 61.719 (67.680) Prec@5 82.812 (86.477) Epoch: [69][8030/10010] Time 0.331 (0.327) Data 0.000 (0.001) Loss 1.6753 (1.3918) Prec@1 62.500 (67.680) Prec@5 83.594 (86.476) Epoch: [69][8040/10010] Time 0.341 (0.327) Data 0.000 (0.001) Loss 1.3913 (1.3919) Prec@1 70.312 (67.678) Prec@5 89.062 (86.475) Epoch: [69][8050/10010] Time 0.323 (0.327) Data 0.001 (0.001) Loss 1.2537 (1.3918) Prec@1 73.438 (67.679) Prec@5 86.719 (86.478) Epoch: [69][8060/10010] Time 0.311 (0.327) Data 0.001 (0.001) Loss 1.7140 (1.3917) Prec@1 60.156 (67.680) Prec@5 80.469 (86.480) Epoch: [69][8070/10010] Time 0.325 (0.327) Data 0.001 (0.001) Loss 1.1881 (1.3916) Prec@1 67.969 (67.680) Prec@5 89.844 (86.481) Epoch: [69][8080/10010] Time 0.318 (0.327) Data 0.001 (0.001) Loss 1.2682 (1.3915) Prec@1 65.625 (67.682) Prec@5 89.844 (86.483) Epoch: [69][8090/10010] Time 0.317 (0.327) Data 0.001 (0.001) Loss 1.6676 (1.3915) Prec@1 66.406 (67.682) Prec@5 80.469 (86.483) Epoch: [69][8100/10010] Time 0.316 (0.327) Data 0.000 (0.001) Loss 1.1241 (1.3916) Prec@1 72.656 (67.682) Prec@5 92.188 (86.481) Epoch: [69][8110/10010] Time 0.321 (0.327) Data 0.000 (0.001) Loss 1.4949 (1.3916) Prec@1 65.625 (67.682) Prec@5 84.375 (86.482) Epoch: [69][8120/10010] Time 0.335 (0.327) Data 0.000 (0.001) Loss 1.5535 (1.3916) Prec@1 67.188 (67.682) Prec@5 80.469 (86.481) Epoch: [69][8130/10010] Time 0.340 (0.327) Data 0.000 (0.001) Loss 1.3292 (1.3916) Prec@1 69.531 (67.684) Prec@5 85.156 (86.479) Epoch: [69][8140/10010] Time 0.317 (0.327) Data 0.001 (0.001) Loss 1.5265 (1.3916) Prec@1 67.188 (67.685) Prec@5 85.938 (86.480) Epoch: [69][8150/10010] Time 0.333 (0.327) Data 0.000 (0.001) Loss 1.3544 (1.3916) Prec@1 67.969 (67.685) Prec@5 87.500 (86.479) Epoch: [69][8160/10010] Time 0.315 (0.327) Data 0.001 (0.001) Loss 1.3778 (1.3916) Prec@1 66.406 (67.682) Prec@5 86.719 (86.477) Epoch: [69][8170/10010] Time 0.332 (0.327) Data 0.001 (0.001) Loss 1.4067 (1.3916) Prec@1 67.188 (67.684) Prec@5 83.594 (86.477) Epoch: [69][8180/10010] Time 0.333 (0.327) Data 0.001 (0.001) Loss 1.4669 (1.3917) Prec@1 64.062 (67.682) Prec@5 82.031 (86.475) Epoch: [69][8190/10010] Time 0.316 (0.327) Data 0.001 (0.001) Loss 1.6386 (1.3917) Prec@1 60.938 (67.679) Prec@5 85.156 (86.474) Epoch: [69][8200/10010] Time 0.330 (0.327) Data 0.001 (0.001) Loss 1.3747 (1.3917) Prec@1 66.406 (67.679) Prec@5 88.281 (86.474) Epoch: [69][8210/10010] Time 0.339 (0.327) Data 0.000 (0.001) Loss 1.2688 (1.3916) Prec@1 71.875 (67.681) Prec@5 89.062 (86.474) Epoch: [69][8220/10010] Time 0.311 (0.327) Data 0.001 (0.001) Loss 1.0427 (1.3916) Prec@1 76.562 (67.682) Prec@5 89.844 (86.475) Epoch: [69][8230/10010] Time 0.327 (0.327) Data 0.001 (0.001) Loss 1.4706 (1.3916) Prec@1 66.406 (67.682) Prec@5 82.031 (86.473) Epoch: [69][8240/10010] Time 0.344 (0.327) Data 0.000 (0.001) Loss 1.3761 (1.3916) Prec@1 69.531 (67.683) Prec@5 85.156 (86.474) Epoch: [69][8250/10010] Time 0.316 (0.327) Data 0.000 (0.001) Loss 1.4044 (1.3916) Prec@1 67.188 (67.683) Prec@5 85.938 (86.474) Epoch: [69][8260/10010] Time 0.329 (0.327) Data 0.000 (0.001) Loss 1.5650 (1.3916) Prec@1 60.938 (67.682) Prec@5 84.375 (86.473) Epoch: [69][8270/10010] Time 0.340 (0.327) Data 0.000 (0.001) Loss 1.3917 (1.3917) Prec@1 62.500 (67.681) Prec@5 88.281 (86.473) Epoch: [69][8280/10010] Time 0.322 (0.327) Data 0.000 (0.001) Loss 1.2811 (1.3917) Prec@1 66.406 (67.679) Prec@5 89.844 (86.471) Epoch: [69][8290/10010] Time 0.314 (0.327) Data 0.001 (0.001) Loss 1.1183 (1.3917) Prec@1 72.656 (67.681) Prec@5 92.969 (86.472) Epoch: [69][8300/10010] Time 0.334 (0.327) Data 0.000 (0.001) Loss 1.5558 (1.3917) Prec@1 62.500 (67.682) Prec@5 83.594 (86.472) Epoch: [69][8310/10010] Time 0.338 (0.327) Data 0.000 (0.001) Loss 1.2587 (1.3917) Prec@1 72.656 (67.682) Prec@5 86.719 (86.472) Epoch: [69][8320/10010] Time 0.321 (0.327) Data 0.000 (0.001) Loss 1.6079 (1.3917) Prec@1 58.594 (67.683) Prec@5 82.031 (86.473) Epoch: [69][8330/10010] Time 0.316 (0.327) Data 0.000 (0.001) Loss 1.2746 (1.3916) Prec@1 75.000 (67.686) Prec@5 84.375 (86.473) Epoch: [69][8340/10010] Time 0.324 (0.327) Data 0.000 (0.001) Loss 1.3493 (1.3915) Prec@1 71.094 (67.689) Prec@5 87.500 (86.474) Epoch: [69][8350/10010] Time 0.320 (0.327) Data 0.000 (0.001) Loss 1.3635 (1.3914) Prec@1 68.750 (67.692) Prec@5 84.375 (86.475) Epoch: [69][8360/10010] Time 0.317 (0.327) Data 0.001 (0.001) Loss 1.5983 (1.3915) Prec@1 61.719 (67.689) Prec@5 85.938 (86.475) Epoch: [69][8370/10010] Time 0.332 (0.327) Data 0.000 (0.001) Loss 1.5534 (1.3915) Prec@1 63.281 (67.688) Prec@5 82.812 (86.474) Epoch: [69][8380/10010] Time 0.314 (0.327) Data 0.001 (0.001) Loss 1.5324 (1.3915) Prec@1 59.375 (67.688) Prec@5 82.812 (86.474) Epoch: [69][8390/10010] Time 0.322 (0.327) Data 0.000 (0.001) Loss 1.1080 (1.3915) Prec@1 72.656 (67.690) Prec@5 92.188 (86.475) Epoch: [69][8400/10010] Time 0.320 (0.327) Data 0.001 (0.001) Loss 1.5307 (1.3915) Prec@1 66.406 (67.690) Prec@5 87.500 (86.474) Epoch: [69][8410/10010] Time 0.329 (0.327) Data 0.001 (0.001) Loss 1.2780 (1.3914) Prec@1 67.969 (67.691) Prec@5 88.281 (86.476) Epoch: [69][8420/10010] Time 0.339 (0.327) Data 0.000 (0.001) Loss 1.1881 (1.3914) Prec@1 68.750 (67.692) Prec@5 88.281 (86.477) Epoch: [69][8430/10010] Time 0.333 (0.327) Data 0.001 (0.001) Loss 1.5729 (1.3913) Prec@1 67.969 (67.694) Prec@5 84.375 (86.478) Epoch: [69][8440/10010] Time 0.344 (0.327) Data 0.000 (0.001) Loss 1.8018 (1.3914) Prec@1 58.594 (67.693) Prec@5 82.812 (86.478) Epoch: [69][8450/10010] Time 0.337 (0.327) Data 0.001 (0.001) Loss 1.6883 (1.3915) Prec@1 63.281 (67.691) Prec@5 80.469 (86.477) Epoch: [69][8460/10010] Time 0.314 (0.327) Data 0.001 (0.001) Loss 1.1898 (1.3914) Prec@1 64.844 (67.691) Prec@5 91.406 (86.479) Epoch: [69][8470/10010] Time 0.313 (0.327) Data 0.001 (0.001) Loss 1.2427 (1.3915) Prec@1 67.969 (67.692) Prec@5 86.719 (86.478) Epoch: [69][8480/10010] Time 0.320 (0.327) Data 0.001 (0.001) Loss 1.1744 (1.3913) Prec@1 72.656 (67.695) Prec@5 88.281 (86.479) Epoch: [69][8490/10010] Time 0.319 (0.327) Data 0.001 (0.001) Loss 1.3656 (1.3914) Prec@1 63.281 (67.692) Prec@5 86.719 (86.478) Epoch: [69][8500/10010] Time 0.337 (0.327) Data 0.001 (0.001) Loss 1.3189 (1.3914) Prec@1 66.406 (67.693) Prec@5 90.625 (86.479) Epoch: [69][8510/10010] Time 0.330 (0.327) Data 0.001 (0.001) Loss 1.5309 (1.3913) Prec@1 67.188 (67.695) Prec@5 83.594 (86.479) Epoch: [69][8520/10010] Time 0.342 (0.327) Data 0.001 (0.001) Loss 1.0818 (1.3913) Prec@1 77.344 (67.694) Prec@5 89.844 (86.479) Epoch: [69][8530/10010] Time 0.320 (0.327) Data 0.001 (0.001) Loss 1.7193 (1.3914) Prec@1 60.156 (67.693) Prec@5 84.375 (86.479) Epoch: [69][8540/10010] Time 0.336 (0.327) Data 0.000 (0.001) Loss 1.6838 (1.3914) Prec@1 59.375 (67.693) Prec@5 78.906 (86.478) Epoch: [69][8550/10010] Time 0.338 (0.327) Data 0.000 (0.001) Loss 1.3669 (1.3914) Prec@1 72.656 (67.693) Prec@5 85.938 (86.479) Epoch: [69][8560/10010] Time 0.315 (0.327) Data 0.001 (0.001) Loss 1.3732 (1.3913) Prec@1 69.531 (67.694) Prec@5 88.281 (86.479) Epoch: [69][8570/10010] Time 0.330 (0.327) Data 0.001 (0.001) Loss 1.2808 (1.3913) Prec@1 73.438 (67.695) Prec@5 85.156 (86.478) Epoch: [69][8580/10010] Time 0.339 (0.327) Data 0.000 (0.001) Loss 1.4823 (1.3913) Prec@1 67.969 (67.695) Prec@5 87.500 (86.478) Epoch: [69][8590/10010] Time 0.314 (0.327) Data 0.001 (0.001) Loss 1.1956 (1.3913) Prec@1 68.750 (67.696) Prec@5 90.625 (86.476) Epoch: [69][8600/10010] Time 0.306 (0.327) Data 0.000 (0.001) Loss 1.6552 (1.3912) Prec@1 62.500 (67.697) Prec@5 82.812 (86.478) Epoch: [69][8610/10010] Time 0.336 (0.327) Data 0.001 (0.001) Loss 1.3461 (1.3912) Prec@1 69.531 (67.696) Prec@5 85.938 (86.477) Epoch: [69][8620/10010] Time 0.341 (0.327) Data 0.001 (0.001) Loss 1.2481 (1.3911) Prec@1 73.438 (67.698) Prec@5 88.281 (86.478) Epoch: [69][8630/10010] Time 0.339 (0.327) Data 0.000 (0.001) Loss 1.2224 (1.3911) Prec@1 69.531 (67.698) Prec@5 87.500 (86.478) Epoch: [69][8640/10010] Time 0.340 (0.327) Data 0.001 (0.001) Loss 1.3785 (1.3913) Prec@1 68.750 (67.695) Prec@5 89.062 (86.478) Epoch: [69][8650/10010] Time 0.314 (0.327) Data 0.000 (0.001) Loss 1.2438 (1.3913) Prec@1 68.750 (67.695) Prec@5 89.844 (86.479) Epoch: [69][8660/10010] Time 0.312 (0.327) Data 0.001 (0.001) Loss 1.3132 (1.3912) Prec@1 67.969 (67.695) Prec@5 91.406 (86.480) Epoch: [69][8670/10010] Time 0.327 (0.327) Data 0.000 (0.001) Loss 1.3093 (1.3912) Prec@1 67.969 (67.696) Prec@5 87.500 (86.480) Epoch: [69][8680/10010] Time 0.323 (0.327) Data 0.001 (0.001) Loss 1.3631 (1.3912) Prec@1 68.750 (67.697) Prec@5 85.156 (86.480) Epoch: [69][8690/10010] Time 0.328 (0.327) Data 0.001 (0.001) Loss 1.0527 (1.3912) Prec@1 73.438 (67.696) Prec@5 91.406 (86.481) Epoch: [69][8700/10010] Time 0.339 (0.327) Data 0.001 (0.001) Loss 1.4352 (1.3912) Prec@1 65.625 (67.695) Prec@5 85.938 (86.479) Epoch: [69][8710/10010] Time 0.338 (0.327) Data 0.001 (0.001) Loss 1.6706 (1.3911) Prec@1 58.594 (67.694) Prec@5 85.156 (86.480) Epoch: [69][8720/10010] Time 0.328 (0.327) Data 0.003 (0.001) Loss 1.2624 (1.3912) Prec@1 68.750 (67.692) Prec@5 88.281 (86.478) Epoch: [69][8730/10010] Time 0.340 (0.327) Data 0.001 (0.001) Loss 1.3493 (1.3913) Prec@1 65.625 (67.692) Prec@5 86.719 (86.478) Epoch: [69][8740/10010] Time 0.332 (0.327) Data 0.001 (0.001) Loss 1.5423 (1.3914) Prec@1 65.625 (67.691) Prec@5 87.500 (86.478) Epoch: [69][8750/10010] Time 0.333 (0.327) Data 0.001 (0.001) Loss 1.5706 (1.3914) Prec@1 64.062 (67.691) Prec@5 84.375 (86.478) Epoch: [69][8760/10010] Time 0.329 (0.327) Data 0.001 (0.001) Loss 1.2720 (1.3913) Prec@1 72.656 (67.692) Prec@5 87.500 (86.479) Epoch: [69][8770/10010] Time 0.312 (0.327) Data 0.001 (0.001) Loss 1.6433 (1.3914) Prec@1 60.938 (67.691) Prec@5 83.594 (86.479) Epoch: [69][8780/10010] Time 0.334 (0.327) Data 0.001 (0.001) Loss 1.4329 (1.3914) Prec@1 66.406 (67.690) Prec@5 86.719 (86.478) Epoch: [69][8790/10010] Time 0.333 (0.327) Data 0.001 (0.001) Loss 1.3226 (1.3915) Prec@1 69.531 (67.688) Prec@5 85.938 (86.477) Epoch: [69][8800/10010] Time 0.341 (0.327) Data 0.001 (0.001) Loss 1.2960 (1.3915) Prec@1 70.312 (67.688) Prec@5 89.062 (86.476) Epoch: [69][8810/10010] Time 0.326 (0.327) Data 0.000 (0.001) Loss 1.2586 (1.3916) Prec@1 65.625 (67.686) Prec@5 88.281 (86.475) Epoch: [69][8820/10010] Time 0.329 (0.327) Data 0.000 (0.001) Loss 1.3255 (1.3916) Prec@1 73.438 (67.685) Prec@5 86.719 (86.475) Epoch: [69][8830/10010] Time 0.327 (0.327) Data 0.001 (0.001) Loss 1.1822 (1.3916) Prec@1 73.438 (67.686) Prec@5 92.188 (86.476) Epoch: [69][8840/10010] Time 0.347 (0.327) Data 0.000 (0.001) Loss 1.3216 (1.3916) Prec@1 69.531 (67.684) Prec@5 86.719 (86.476) Epoch: [69][8850/10010] Time 0.341 (0.327) Data 0.000 (0.001) Loss 1.4267 (1.3917) Prec@1 64.062 (67.682) Prec@5 88.281 (86.475) Epoch: [69][8860/10010] Time 0.339 (0.327) Data 0.001 (0.001) Loss 1.3570 (1.3918) Prec@1 66.406 (67.680) Prec@5 85.156 (86.473) Epoch: [69][8870/10010] Time 0.323 (0.327) Data 0.000 (0.001) Loss 1.0765 (1.3917) Prec@1 76.562 (67.682) Prec@5 90.625 (86.475) Epoch: [69][8880/10010] Time 0.324 (0.327) Data 0.001 (0.001) Loss 1.1709 (1.3918) Prec@1 69.531 (67.680) Prec@5 90.625 (86.474) Epoch: [69][8890/10010] Time 0.339 (0.327) Data 0.000 (0.001) Loss 1.5139 (1.3918) Prec@1 64.844 (67.680) Prec@5 84.375 (86.474) Epoch: [69][8900/10010] Time 0.335 (0.327) Data 0.001 (0.001) Loss 1.2369 (1.3918) Prec@1 68.750 (67.678) Prec@5 86.719 (86.473) /data/vision/torralba/deepscene/lib/anaconda2/lib/python2.7/site-packages/PIL/TiffImagePlugin.py:692: UserWarning: Possibly corrupt EXIF data. Expecting to read 2555904 bytes but only got 0. Skipping tag 0 "Skipping tag %s" % (size, len(data), tag)) Epoch: [69][8910/10010] Time 0.317 (0.327) Data 0.000 (0.001) Loss 1.3985 (1.3918) Prec@1 67.188 (67.678) Prec@5 89.062 (86.473) Epoch: [69][8920/10010] Time 0.334 (0.327) Data 0.000 (0.001) Loss 1.4661 (1.3917) Prec@1 69.531 (67.681) Prec@5 85.156 (86.474) Epoch: [69][8930/10010] Time 0.321 (0.327) Data 0.001 (0.001) Loss 1.5176 (1.3917) Prec@1 61.719 (67.680) Prec@5 88.281 (86.474) Epoch: [69][8940/10010] Time 0.323 (0.327) Data 0.001 (0.001) Loss 1.3533 (1.3918) Prec@1 67.188 (67.678) Prec@5 88.281 (86.473) Epoch: [69][8950/10010] Time 0.340 (0.327) Data 0.001 (0.001) Loss 1.0617 (1.3917) Prec@1 73.438 (67.680) Prec@5 89.844 (86.474) Epoch: [69][8960/10010] Time 0.327 (0.327) Data 0.000 (0.001) Loss 1.5070 (1.3917) Prec@1 64.062 (67.681) Prec@5 84.375 (86.474) Epoch: [69][8970/10010] Time 0.312 (0.327) Data 0.001 (0.001) Loss 1.2445 (1.3916) Prec@1 70.312 (67.683) Prec@5 91.406 (86.474) Epoch: [69][8980/10010] Time 0.338 (0.327) Data 0.001 (0.001) Loss 1.1382 (1.3916) Prec@1 71.875 (67.684) Prec@5 91.406 (86.474) Epoch: [69][8990/10010] Time 0.334 (0.327) Data 0.000 (0.001) Loss 1.3806 (1.3916) Prec@1 66.406 (67.683) Prec@5 84.375 (86.473) Epoch: [69][9000/10010] Time 0.324 (0.327) Data 0.000 (0.001) Loss 1.1315 (1.3916) Prec@1 73.438 (67.685) Prec@5 89.844 (86.473) Epoch: [69][9010/10010] Time 0.320 (0.327) Data 0.001 (0.001) Loss 1.1602 (1.3916) Prec@1 73.438 (67.685) Prec@5 90.625 (86.473) Epoch: [69][9020/10010] Time 0.329 (0.327) Data 0.000 (0.001) Loss 1.4551 (1.3915) Prec@1 64.844 (67.685) Prec@5 83.594 (86.473) Epoch: [69][9030/10010] Time 0.322 (0.327) Data 0.001 (0.001) Loss 1.3368 (1.3915) Prec@1 71.875 (67.685) Prec@5 84.375 (86.473) Epoch: [69][9040/10010] Time 0.317 (0.327) Data 0.001 (0.001) Loss 1.3734 (1.3915) Prec@1 70.312 (67.686) Prec@5 88.281 (86.472) Epoch: [69][9050/10010] Time 0.338 (0.327) Data 0.000 (0.001) Loss 1.8305 (1.3916) Prec@1 59.375 (67.684) Prec@5 76.562 (86.470) Epoch: [69][9060/10010] Time 0.329 (0.327) Data 0.000 (0.001) Loss 1.3378 (1.3915) Prec@1 66.406 (67.684) Prec@5 88.281 (86.471) Epoch: [69][9070/10010] Time 0.316 (0.327) Data 0.001 (0.001) Loss 1.4583 (1.3916) Prec@1 67.969 (67.684) Prec@5 85.156 (86.471) Epoch: [69][9080/10010] Time 0.335 (0.327) Data 0.000 (0.001) Loss 1.5649 (1.3916) Prec@1 69.531 (67.685) Prec@5 85.938 (86.470) Epoch: [69][9090/10010] Time 0.326 (0.327) Data 0.001 (0.001) Loss 1.6108 (1.3916) Prec@1 66.406 (67.684) Prec@5 81.250 (86.468) Epoch: [69][9100/10010] Time 0.321 (0.327) Data 0.001 (0.001) Loss 1.6115 (1.3916) Prec@1 65.625 (67.684) Prec@5 84.375 (86.468) Epoch: [69][9110/10010] Time 0.335 (0.327) Data 0.001 (0.001) Loss 1.7050 (1.3915) Prec@1 60.156 (67.684) Prec@5 85.938 (86.470) Epoch: [69][9120/10010] Time 0.330 (0.327) Data 0.000 (0.001) Loss 1.4033 (1.3915) Prec@1 65.625 (67.687) Prec@5 85.938 (86.471) Epoch: [69][9130/10010] Time 0.318 (0.327) Data 0.000 (0.001) Loss 1.3173 (1.3915) Prec@1 70.312 (67.687) Prec@5 87.500 (86.471) Epoch: [69][9140/10010] Time 0.317 (0.327) Data 0.001 (0.001) Loss 1.4997 (1.3914) Prec@1 71.094 (67.690) Prec@5 85.938 (86.471) Epoch: [69][9150/10010] Time 0.335 (0.327) Data 0.001 (0.001) Loss 1.2386 (1.3914) Prec@1 69.531 (67.690) Prec@5 89.062 (86.472) Epoch: [69][9160/10010] Time 0.326 (0.327) Data 0.000 (0.001) Loss 1.5544 (1.3914) Prec@1 65.625 (67.689) Prec@5 84.375 (86.472) Epoch: [69][9170/10010] Time 0.323 (0.327) Data 0.000 (0.001) Loss 1.4623 (1.3915) Prec@1 64.844 (67.688) Prec@5 86.719 (86.471) Epoch: [69][9180/10010] Time 0.326 (0.327) Data 0.001 (0.001) Loss 1.3009 (1.3915) Prec@1 70.312 (67.689) Prec@5 88.281 (86.471) Epoch: [69][9190/10010] Time 0.337 (0.327) Data 0.001 (0.001) Loss 1.4271 (1.3914) Prec@1 60.938 (67.690) Prec@5 85.938 (86.473) Epoch: [69][9200/10010] Time 0.328 (0.327) Data 0.001 (0.001) Loss 1.6699 (1.3914) Prec@1 61.719 (67.690) Prec@5 82.812 (86.473) Epoch: [69][9210/10010] Time 0.334 (0.327) Data 0.001 (0.001) Loss 1.6994 (1.3914) Prec@1 64.844 (67.689) Prec@5 82.031 (86.473) Epoch: [69][9220/10010] Time 0.338 (0.327) Data 0.000 (0.001) Loss 1.1896 (1.3915) Prec@1 75.000 (67.688) Prec@5 89.062 (86.473) Epoch: [69][9230/10010] Time 0.329 (0.327) Data 0.001 (0.001) Loss 1.5361 (1.3915) Prec@1 64.844 (67.686) Prec@5 82.812 (86.472) Epoch: [69][9240/10010] Time 0.327 (0.327) Data 0.000 (0.001) Loss 1.4602 (1.3916) Prec@1 62.500 (67.685) Prec@5 87.500 (86.473) Epoch: [69][9250/10010] Time 0.325 (0.327) Data 0.001 (0.001) Loss 1.2587 (1.3915) Prec@1 70.312 (67.687) Prec@5 86.719 (86.474) Epoch: [69][9260/10010] Time 0.326 (0.327) Data 0.001 (0.001) Loss 1.0593 (1.3915) Prec@1 78.125 (67.689) Prec@5 89.062 (86.474) Epoch: [69][9270/10010] Time 0.331 (0.327) Data 0.001 (0.001) Loss 1.6746 (1.3916) Prec@1 61.719 (67.688) Prec@5 86.719 (86.474) Epoch: [69][9280/10010] Time 0.339 (0.327) Data 0.000 (0.001) Loss 1.2807 (1.3916) Prec@1 71.094 (67.688) Prec@5 91.406 (86.475) Epoch: [69][9290/10010] Time 0.337 (0.327) Data 0.001 (0.001) Loss 1.2907 (1.3915) Prec@1 67.188 (67.689) Prec@5 88.281 (86.475) Epoch: [69][9300/10010] Time 0.333 (0.327) Data 0.000 (0.001) Loss 1.3125 (1.3915) Prec@1 69.531 (67.690) Prec@5 89.062 (86.475) Epoch: [69][9310/10010] Time 0.323 (0.327) Data 0.001 (0.001) Loss 1.2951 (1.3916) Prec@1 69.531 (67.689) Prec@5 88.281 (86.473) Epoch: [69][9320/10010] Time 0.338 (0.327) Data 0.001 (0.001) Loss 1.2046 (1.3917) Prec@1 71.094 (67.687) Prec@5 89.844 (86.473) Epoch: [69][9330/10010] Time 0.327 (0.327) Data 0.000 (0.001) Loss 1.6873 (1.3917) Prec@1 64.062 (67.686) Prec@5 78.906 (86.473) Epoch: [69][9340/10010] Time 0.311 (0.327) Data 0.001 (0.001) Loss 1.3361 (1.3918) Prec@1 67.188 (67.685) Prec@5 87.500 (86.473) Epoch: [69][9350/10010] Time 0.325 (0.327) Data 0.001 (0.001) Loss 1.3778 (1.3917) Prec@1 60.156 (67.686) Prec@5 84.375 (86.473) Epoch: [69][9360/10010] Time 0.320 (0.327) Data 0.000 (0.001) Loss 1.8045 (1.3918) Prec@1 63.281 (67.684) Prec@5 77.344 (86.472) Epoch: [69][9370/10010] Time 0.317 (0.327) Data 0.001 (0.001) Loss 1.1368 (1.3917) Prec@1 68.750 (67.684) Prec@5 91.406 (86.473) Epoch: [69][9380/10010] Time 0.335 (0.327) Data 0.000 (0.001) Loss 1.3185 (1.3917) Prec@1 71.875 (67.686) Prec@5 85.156 (86.475) Epoch: [69][9390/10010] Time 0.337 (0.327) Data 0.001 (0.001) Loss 1.6304 (1.3917) Prec@1 61.719 (67.685) Prec@5 84.375 (86.474) Epoch: [69][9400/10010] Time 0.340 (0.327) Data 0.000 (0.001) Loss 1.1386 (1.3917) Prec@1 71.094 (67.685) Prec@5 89.062 (86.474) Epoch: [69][9410/10010] Time 0.326 (0.327) Data 0.000 (0.001) Loss 1.4099 (1.3918) Prec@1 71.094 (67.685) Prec@5 87.500 (86.473) Epoch: [69][9420/10010] Time 0.318 (0.327) Data 0.001 (0.001) Loss 1.2219 (1.3917) Prec@1 71.875 (67.688) Prec@5 90.625 (86.476) Epoch: [69][9430/10010] Time 0.332 (0.327) Data 0.001 (0.001) Loss 1.3800 (1.3917) Prec@1 67.188 (67.687) Prec@5 87.500 (86.475) Epoch: [69][9440/10010] Time 0.319 (0.327) Data 0.001 (0.001) Loss 1.1095 (1.3916) Prec@1 75.000 (67.689) Prec@5 88.281 (86.476) Epoch: [69][9450/10010] Time 0.325 (0.327) Data 0.001 (0.001) Loss 1.2601 (1.3917) Prec@1 71.094 (67.688) Prec@5 87.500 (86.475) Epoch: [69][9460/10010] Time 0.325 (0.327) Data 0.000 (0.001) Loss 1.4181 (1.3917) Prec@1 67.188 (67.689) Prec@5 88.281 (86.475) Epoch: [69][9470/10010] Time 0.322 (0.327) Data 0.001 (0.001) Loss 1.4572 (1.3917) Prec@1 68.750 (67.690) Prec@5 86.719 (86.475) Epoch: [69][9480/10010] Time 0.332 (0.327) Data 0.000 (0.001) Loss 1.4293 (1.3916) Prec@1 62.500 (67.690) Prec@5 89.062 (86.476) Epoch: [69][9490/10010] Time 0.336 (0.327) Data 0.001 (0.001) Loss 1.7698 (1.3917) Prec@1 57.812 (67.687) Prec@5 78.906 (86.475) Epoch: [69][9500/10010] Time 0.312 (0.327) Data 0.000 (0.001) Loss 1.5062 (1.3917) Prec@1 63.281 (67.686) Prec@5 84.375 (86.474) Epoch: [69][9510/10010] Time 0.334 (0.327) Data 0.001 (0.001) Loss 1.2758 (1.3918) Prec@1 70.312 (67.686) Prec@5 86.719 (86.474) Epoch: [69][9520/10010] Time 0.328 (0.327) Data 0.000 (0.001) Loss 1.2515 (1.3918) Prec@1 69.531 (67.685) Prec@5 88.281 (86.474) Epoch: [69][9530/10010] Time 0.330 (0.327) Data 0.000 (0.001) Loss 1.4193 (1.3918) Prec@1 64.844 (67.685) Prec@5 86.719 (86.473) Epoch: [69][9540/10010] Time 0.342 (0.327) Data 0.001 (0.001) Loss 1.5454 (1.3918) Prec@1 67.188 (67.686) Prec@5 82.031 (86.473) Epoch: [69][9550/10010] Time 0.322 (0.327) Data 0.000 (0.001) Loss 1.5449 (1.3917) Prec@1 65.625 (67.688) Prec@5 82.812 (86.475) Epoch: [69][9560/10010] Time 0.325 (0.327) Data 0.001 (0.001) Loss 1.5858 (1.3918) Prec@1 70.312 (67.687) Prec@5 82.031 (86.474) Epoch: [69][9570/10010] Time 0.317 (0.327) Data 0.001 (0.001) Loss 0.8405 (1.3918) Prec@1 75.781 (67.687) Prec@5 95.312 (86.475) Epoch: [69][9580/10010] Time 0.320 (0.327) Data 0.001 (0.001) Loss 1.3711 (1.3918) Prec@1 70.312 (67.688) Prec@5 88.281 (86.473) Epoch: [69][9590/10010] Time 0.324 (0.327) Data 0.001 (0.001) Loss 1.1630 (1.3918) Prec@1 75.000 (67.688) Prec@5 88.281 (86.473) Epoch: [69][9600/10010] Time 0.327 (0.327) Data 0.001 (0.001) Loss 1.1030 (1.3917) Prec@1 72.656 (67.689) Prec@5 89.844 (86.473) Epoch: [69][9610/10010] Time 0.342 (0.327) Data 0.000 (0.001) Loss 1.2120 (1.3917) Prec@1 73.438 (67.690) Prec@5 89.062 (86.474) Epoch: [69][9620/10010] Time 0.322 (0.327) Data 0.001 (0.001) Loss 1.3106 (1.3917) Prec@1 73.438 (67.690) Prec@5 86.719 (86.473) Epoch: [69][9630/10010] Time 0.342 (0.327) Data 0.001 (0.001) Loss 1.4213 (1.3917) Prec@1 65.625 (67.691) Prec@5 85.156 (86.472) Epoch: [69][9640/10010] Time 0.326 (0.327) Data 0.001 (0.001) Loss 1.3188 (1.3917) Prec@1 68.750 (67.691) Prec@5 87.500 (86.472) Epoch: [69][9650/10010] Time 0.315 (0.327) Data 0.001 (0.001) Loss 1.4695 (1.3916) Prec@1 65.625 (67.691) Prec@5 85.156 (86.472) Epoch: [69][9660/10010] Time 0.321 (0.327) Data 0.001 (0.001) Loss 1.3395 (1.3917) Prec@1 69.531 (67.692) Prec@5 87.500 (86.473) Epoch: [69][9670/10010] Time 0.323 (0.327) Data 0.001 (0.001) Loss 1.1475 (1.3917) Prec@1 72.656 (67.692) Prec@5 91.406 (86.473) Epoch: [69][9680/10010] Time 0.312 (0.327) Data 0.001 (0.001) Loss 1.4306 (1.3918) Prec@1 68.750 (67.689) Prec@5 84.375 (86.471) Epoch: [69][9690/10010] Time 0.319 (0.327) Data 0.001 (0.001) Loss 1.2547 (1.3918) Prec@1 66.406 (67.689) Prec@5 88.281 (86.471) Epoch: [69][9700/10010] Time 0.335 (0.327) Data 0.001 (0.001) Loss 1.4051 (1.3918) Prec@1 64.844 (67.689) Prec@5 85.156 (86.471) Epoch: [69][9710/10010] Time 0.320 (0.327) Data 0.000 (0.001) Loss 1.3004 (1.3918) Prec@1 75.000 (67.689) Prec@5 88.281 (86.471) Epoch: [69][9720/10010] Time 0.335 (0.327) Data 0.001 (0.001) Loss 1.4052 (1.3918) Prec@1 64.844 (67.688) Prec@5 85.156 (86.471) Epoch: [69][9730/10010] Time 0.315 (0.327) Data 0.001 (0.001) Loss 1.4211 (1.3918) Prec@1 65.625 (67.689) Prec@5 84.375 (86.473) Epoch: [69][9740/10010] Time 0.332 (0.327) Data 0.001 (0.001) Loss 1.6361 (1.3918) Prec@1 67.188 (67.688) Prec@5 81.250 (86.472) Epoch: [69][9750/10010] Time 0.322 (0.327) Data 0.001 (0.001) Loss 1.2353 (1.3918) Prec@1 71.094 (67.687) Prec@5 91.406 (86.472) Epoch: [69][9760/10010] Time 0.340 (0.327) Data 0.000 (0.001) Loss 1.3175 (1.3918) Prec@1 64.844 (67.687) Prec@5 85.938 (86.472) Epoch: [69][9770/10010] Time 0.316 (0.327) Data 0.001 (0.001) Loss 1.6705 (1.3919) Prec@1 68.750 (67.686) Prec@5 82.812 (86.471) Epoch: [69][9780/10010] Time 0.326 (0.327) Data 0.001 (0.001) Loss 1.5205 (1.3918) Prec@1 66.406 (67.687) Prec@5 85.156 (86.472) Epoch: [69][9790/10010] Time 0.330 (0.327) Data 0.001 (0.001) Loss 1.4104 (1.3918) Prec@1 68.750 (67.688) Prec@5 85.156 (86.472) Epoch: [69][9800/10010] Time 0.314 (0.327) Data 0.001 (0.001) Loss 1.3226 (1.3917) Prec@1 64.844 (67.689) Prec@5 87.500 (86.474) Epoch: [69][9810/10010] Time 0.315 (0.327) Data 0.001 (0.001) Loss 1.5067 (1.3918) Prec@1 66.406 (67.688) Prec@5 82.031 (86.474) Epoch: [69][9820/10010] Time 0.321 (0.327) Data 0.001 (0.001) Loss 1.7394 (1.3917) Prec@1 61.719 (67.690) Prec@5 79.688 (86.474) Epoch: [69][9830/10010] Time 0.343 (0.327) Data 0.000 (0.001) Loss 1.3188 (1.3917) Prec@1 71.094 (67.689) Prec@5 89.844 (86.474) Epoch: [69][9840/10010] Time 0.331 (0.327) Data 0.001 (0.001) Loss 1.6240 (1.3918) Prec@1 66.406 (67.688) Prec@5 83.594 (86.472) Epoch: [69][9850/10010] Time 0.315 (0.327) Data 0.000 (0.001) Loss 1.4496 (1.3918) Prec@1 67.188 (67.687) Prec@5 82.812 (86.471) Epoch: [69][9860/10010] Time 0.337 (0.327) Data 0.000 (0.001) Loss 1.2841 (1.3917) Prec@1 67.188 (67.687) Prec@5 89.062 (86.472) Epoch: [69][9870/10010] Time 0.334 (0.327) Data 0.001 (0.001) Loss 1.7210 (1.3918) Prec@1 64.062 (67.687) Prec@5 83.594 (86.471) Epoch: [69][9880/10010] Time 0.313 (0.327) Data 0.000 (0.001) Loss 1.3852 (1.3918) Prec@1 70.312 (67.688) Prec@5 86.719 (86.471) Epoch: [69][9890/10010] Time 0.329 (0.327) Data 0.000 (0.001) Loss 1.4477 (1.3917) Prec@1 65.625 (67.689) Prec@5 87.500 (86.472) Epoch: [69][9900/10010] Time 0.328 (0.327) Data 0.000 (0.001) Loss 1.3009 (1.3918) Prec@1 69.531 (67.687) Prec@5 86.719 (86.471) Epoch: [69][9910/10010] Time 0.319 (0.327) Data 0.001 (0.001) Loss 1.2722 (1.3918) Prec@1 73.438 (67.689) Prec@5 90.625 (86.473) Epoch: [69][9920/10010] Time 0.327 (0.327) Data 0.000 (0.001) Loss 1.3743 (1.3918) Prec@1 64.844 (67.687) Prec@5 85.938 (86.472) Epoch: [69][9930/10010] Time 0.323 (0.327) Data 0.001 (0.001) Loss 1.2590 (1.3919) Prec@1 69.531 (67.686) Prec@5 90.625 (86.472) Epoch: [69][9940/10010] Time 0.323 (0.327) Data 0.000 (0.001) Loss 1.3512 (1.3920) Prec@1 67.188 (67.683) Prec@5 85.938 (86.471) Epoch: [69][9950/10010] Time 0.329 (0.327) Data 0.000 (0.001) Loss 1.4933 (1.3919) Prec@1 67.969 (67.684) Prec@5 85.156 (86.472) Epoch: [69][9960/10010] Time 0.342 (0.327) Data 0.001 (0.001) Loss 1.4957 (1.3918) Prec@1 64.062 (67.683) Prec@5 82.812 (86.474) Epoch: [69][9970/10010] Time 0.341 (0.327) Data 0.001 (0.001) Loss 1.3088 (1.3919) Prec@1 68.750 (67.682) Prec@5 86.719 (86.474) Epoch: [69][9980/10010] Time 0.315 (0.327) Data 0.001 (0.001) Loss 1.4172 (1.3918) Prec@1 66.406 (67.680) Prec@5 85.156 (86.474) Epoch: [69][9990/10010] Time 0.318 (0.327) Data 0.001 (0.001) Loss 1.3666 (1.3918) Prec@1 67.188 (67.683) Prec@5 89.062 (86.475) Epoch: [69][10000/10010] Time 0.333 (0.327) Data 0.000 (0.001) Loss 1.3723 (1.3918) Prec@1 70.312 (67.682) Prec@5 86.719 (86.475) Test: [0/391] Time 1.360 (1.360) Loss 0.6706 (0.6706) Prec@1 84.375 (84.375) Prec@5 95.312 (95.312) Test: [10/391] Time 0.099 (0.231) Loss 1.2009 (0.6151) Prec@1 71.875 (84.872) Prec@5 90.625 (96.094) Test: [20/391] Time 0.099 (0.172) Loss 0.7432 (0.8765) Prec@1 78.125 (77.716) Prec@5 93.750 (93.266) Test: [30/391] Time 0.106 (0.150) Loss 1.6841 (1.0015) Prec@1 65.625 (74.168) Prec@5 85.938 (92.540) Test: [40/391] Time 0.106 (0.139) Loss 0.8945 (0.9007) Prec@1 79.688 (76.829) Prec@5 90.625 (93.312) Test: [50/391] Time 0.105 (0.133) Loss 0.4993 (0.9258) Prec@1 86.719 (76.792) Prec@5 96.094 (92.969) Test: [60/391] Time 0.102 (0.129) Loss 1.0130 (0.8752) Prec@1 76.562 (78.176) Prec@5 91.406 (93.417) Test: [70/391] Time 0.111 (0.125) Loss 1.0344 (0.9076) Prec@1 67.969 (77.047) Prec@5 96.875 (93.376) Test: [80/391] Time 0.106 (0.123) Loss 0.9976 (0.9263) Prec@1 74.219 (76.186) Prec@5 91.406 (93.364) Test: [90/391] Time 0.108 (0.122) Loss 1.0587 (0.9298) Prec@1 63.281 (75.927) Prec@5 95.312 (93.346) Test: [100/391] Time 0.106 (0.120) Loss 0.7686 (0.9206) Prec@1 80.469 (75.913) Prec@5 96.094 (93.626) Test: [110/391] Time 0.102 (0.119) Loss 1.2898 (0.9245) Prec@1 50.781 (75.605) Prec@5 93.750 (93.736) Test: [120/391] Time 0.101 (0.118) Loss 0.6633 (0.9167) Prec@1 85.156 (75.956) Prec@5 96.875 (93.840) Test: [130/391] Time 0.106 (0.117) Loss 0.4009 (0.9115) Prec@1 92.188 (76.246) Prec@5 96.875 (93.869) Test: [140/391] Time 0.103 (0.116) Loss 1.1911 (0.9103) Prec@1 64.844 (76.125) Prec@5 91.406 (93.894) Test: [150/391] Time 0.105 (0.116) Loss 0.9047 (0.9161) Prec@1 68.750 (76.087) Prec@5 94.531 (93.724) Test: [160/391] Time 0.103 (0.115) Loss 0.9928 (0.9231) Prec@1 76.562 (75.932) Prec@5 90.625 (93.619) Test: [170/391] Time 0.108 (0.114) Loss 1.5682 (0.9529) Prec@1 60.156 (75.370) Prec@5 86.719 (93.243) Test: [180/391] Time 0.113 (0.114) Loss 2.0385 (0.9857) Prec@1 51.562 (74.702) Prec@5 85.938 (92.822) Test: [190/391] Time 0.107 (0.114) Loss 1.9822 (1.0218) Prec@1 56.250 (73.969) Prec@5 85.156 (92.351) Test: [200/391] Time 0.103 (0.114) Loss 1.1502 (1.0526) Prec@1 68.750 (73.368) Prec@5 91.406 (91.923) Test: [210/391] Time 0.100 (0.113) Loss 1.5969 (1.0714) Prec@1 63.281 (73.038) Prec@5 86.719 (91.710) Test: [220/391] Time 0.103 (0.113) Loss 0.5572 (1.0822) Prec@1 84.375 (72.854) Prec@5 96.875 (91.477) Test: [230/391] Time 0.115 (0.112) Loss 2.1153 (1.0959) Prec@1 51.562 (72.606) Prec@5 78.906 (91.318) Test: [240/391] Time 0.114 (0.113) Loss 1.3599 (1.1059) Prec@1 72.656 (72.504) Prec@5 86.719 (91.160) Test: [250/391] Time 0.100 (0.112) Loss 0.8777 (1.1304) Prec@1 78.125 (71.915) Prec@5 92.969 (90.855) Test: [260/391] Time 0.111 (0.112) Loss 1.2900 (1.1456) Prec@1 69.531 (71.624) Prec@5 88.281 (90.658) Test: [270/391] Time 0.108 (0.112) Loss 2.0148 (1.1560) Prec@1 50.000 (71.385) Prec@5 82.812 (90.510) Test: [280/391] Time 0.106 (0.112) Loss 1.1669 (1.1623) Prec@1 67.188 (71.283) Prec@5 91.406 (90.419) Test: [290/391] Time 0.100 (0.112) Loss 1.5401 (1.1741) Prec@1 47.656 (71.013) Prec@5 91.406 (90.230) Test: [300/391] Time 0.100 (0.112) Loss 1.2365 (1.1845) Prec@1 75.781 (70.790) Prec@5 87.500 (90.085) Test: [310/391] Time 0.102 (0.111) Loss 1.4772 (1.1923) Prec@1 67.969 (70.667) Prec@5 84.375 (89.939) Test: [320/391] Time 0.107 (0.111) Loss 0.8354 (1.1999) Prec@1 81.250 (70.536) Prec@5 92.969 (89.836) Test: [330/391] Time 0.103 (0.111) Loss 1.9089 (1.2186) Prec@1 55.469 (70.112) Prec@5 80.469 (89.579) Test: [340/391] Time 0.109 (0.111) Loss 1.1381 (1.2243) Prec@1 61.719 (69.953) Prec@5 95.312 (89.525) Test: [350/391] Time 0.100 (0.111) Loss 1.2358 (1.2276) Prec@1 71.875 (69.910) Prec@5 90.625 (89.472) Test: [360/391] Time 0.105 (0.111) Loss 1.4687 (1.2362) Prec@1 58.594 (69.728) Prec@5 89.844 (89.400) Test: [370/391] Time 0.105 (0.111) Loss 1.1956 (1.2305) Prec@1 64.062 (69.797) Prec@5 94.531 (89.469) Test: [380/391] Time 0.174 (0.111) Loss 0.9482 (1.2332) Prec@1 76.562 (69.761) Prec@5 94.531 (89.436) Test: [390/391] Time 0.069 (0.110) Loss 2.0290 (1.2268) Prec@1 43.750 (69.926) Prec@5 78.750 (89.502) * Prec@1 69.926 Prec@5 89.502 Epoch: [70][0/10010] Time 2.744 (2.744) Data 2.566 (2.566) Loss 1.5031 (1.5031) Prec@1 62.500 (62.500) Prec@5 84.375 (84.375) Epoch: [70][10/10010] Time 0.318 (0.537) Data 0.001 (0.234) Loss 1.1486 (1.3910) Prec@1 71.875 (67.330) Prec@5 91.406 (86.009) Epoch: [70][20/10010] Time 0.309 (0.431) Data 0.001 (0.123) Loss 1.3199 (1.3842) Prec@1 68.750 (68.080) Prec@5 89.844 (86.942) Epoch: [70][30/10010] Time 0.316 (0.394) Data 0.000 (0.083) Loss 1.3572 (1.3671) Prec@1 69.531 (68.372) Prec@5 87.500 (87.198) Epoch: [70][40/10010] Time 0.321 (0.375) Data 0.000 (0.063) Loss 1.3538 (1.3775) Prec@1 67.188 (68.083) Prec@5 86.719 (87.214) Epoch: [70][50/10010] Time 0.318 (0.366) Data 0.000 (0.051) Loss 1.2946 (1.3764) Prec@1 66.406 (67.616) Prec@5 85.156 (87.132) Epoch: [70][60/10010] Time 0.317 (0.359) Data 0.000 (0.043) Loss 1.1728 (1.3713) Prec@1 74.219 (67.918) Prec@5 89.062 (87.039) Epoch: [70][70/10010] Time 0.319 (0.353) Data 0.001 (0.037) Loss 1.3738 (1.3664) Prec@1 67.969 (68.079) Prec@5 88.281 (87.060) Epoch: [70][80/10010] Time 0.327 (0.350) Data 0.001 (0.032) Loss 1.1983 (1.3621) Prec@1 71.094 (68.171) Prec@5 92.188 (87.153) Epoch: [70][90/10010] Time 0.316 (0.347) Data 0.001 (0.029) Loss 1.3529 (1.3538) Prec@1 71.094 (68.364) Prec@5 88.281 (87.225) Epoch: [70][100/10010] Time 0.322 (0.345) Data 0.000 (0.026) Loss 1.1803 (1.3583) Prec@1 71.094 (68.394) Prec@5 89.062 (87.113) Epoch: [70][110/10010] Time 0.316 (0.344) Data 0.001 (0.024) Loss 1.3812 (1.3629) Prec@1 70.312 (68.398) Prec@5 85.938 (86.965) Epoch: [70][120/10010] Time 0.335 (0.342) Data 0.000 (0.022) Loss 1.5431 (1.3684) Prec@1 59.375 (68.272) Prec@5 85.938 (86.900) Epoch: [70][130/10010] Time 0.333 (0.342) Data 0.001 (0.020) Loss 1.4534 (1.3678) Prec@1 62.500 (68.195) Prec@5 83.594 (86.904) Epoch: [70][140/10010] Time 0.335 (0.341) Data 0.001 (0.019) Loss 1.4099 (1.3713) Prec@1 70.312 (68.085) Prec@5 85.156 (86.818) Epoch: [70][150/10010] Time 0.336 (0.340) Data 0.000 (0.018) Loss 1.6993 (1.3762) Prec@1 61.719 (67.933) Prec@5 82.812 (86.745) Epoch: [70][160/10010] Time 0.323 (0.339) Data 0.000 (0.017) Loss 1.1061 (1.3738) Prec@1 70.312 (67.877) Prec@5 93.750 (86.821) Epoch: [70][170/10010] Time 0.317 (0.338) Data 0.001 (0.016) Loss 1.0944 (1.3773) Prec@1 74.219 (67.832) Prec@5 91.406 (86.760) Epoch: [70][180/10010] Time 0.333 (0.338) Data 0.001 (0.015) Loss 1.3984 (1.3763) Prec@1 67.188 (67.904) Prec@5 89.062 (86.732) Epoch: [70][190/10010] Time 0.326 (0.337) Data 0.000 (0.014) Loss 1.3116 (1.3758) Prec@1 72.656 (67.916) Prec@5 89.062 (86.768) Epoch: [70][200/10010] Time 0.320 (0.337) Data 0.001 (0.013) Loss 1.4043 (1.3777) Prec@1 70.312 (67.926) Prec@5 89.062 (86.703) Epoch: [70][210/10010] Time 0.317 (0.336) Data 0.001 (0.013) Loss 1.2375 (1.3758) Prec@1 65.625 (67.947) Prec@5 89.062 (86.737) Epoch: [70][220/10010] Time 0.313 (0.335) Data 0.001 (0.012) Loss 1.3556 (1.3752) Prec@1 64.062 (67.955) Prec@5 89.062 (86.726) Epoch: [70][230/10010] Time 0.315 (0.335) Data 0.000 (0.012) Loss 1.4823 (1.3779) Prec@1 64.844 (67.881) Prec@5 85.156 (86.668) Epoch: [70][240/10010] Time 0.338 (0.334) Data 0.001 (0.011) Loss 1.4830 (1.3794) Prec@1 68.750 (67.810) Prec@5 82.812 (86.634) Epoch: [70][250/10010] Time 0.336 (0.334) Data 0.000 (0.011) Loss 1.1249 (1.3787) Prec@1 70.312 (67.788) Prec@5 90.625 (86.656) Epoch: [70][260/10010] Time 0.329 (0.334) Data 0.001 (0.010) Loss 1.1602 (1.3760) Prec@1 71.094 (67.888) Prec@5 92.188 (86.692) Epoch: [70][270/10010] Time 0.318 (0.334) Data 0.000 (0.010) Loss 1.0445 (1.3780) Prec@1 75.000 (67.851) Prec@5 90.625 (86.693) Epoch: [70][280/10010] Time 0.327 (0.333) Data 0.000 (0.010) Loss 1.3979 (1.3797) Prec@1 68.750 (67.827) Prec@5 89.844 (86.694) Epoch: [70][290/10010] Time 0.319 (0.333) Data 0.000 (0.009) Loss 1.5888 (1.3827) Prec@1 65.625 (67.759) Prec@5 84.375 (86.644) Epoch: [70][300/10010] Time 0.332 (0.333) Data 0.001 (0.009) Loss 1.1692 (1.3841) Prec@1 71.875 (67.764) Prec@5 91.406 (86.638) Epoch: [70][310/10010] Time 0.322 (0.333) Data 0.000 (0.009) Loss 1.0632 (1.3833) Prec@1 75.781 (67.798) Prec@5 92.188 (86.676) Epoch: [70][320/10010] Time 0.327 (0.332) Data 0.000 (0.009) Loss 1.3112 (1.3842) Prec@1 70.312 (67.845) Prec@5 89.844 (86.648) Epoch: [70][330/10010] Time 0.340 (0.332) Data 0.001 (0.008) Loss 1.3162 (1.3843) Prec@1 67.188 (67.827) Prec@5 91.406 (86.641) Epoch: [70][340/10010] Time 0.320 (0.332) Data 0.000 (0.008) Loss 1.2283 (1.3817) Prec@1 68.750 (67.882) Prec@5 88.281 (86.680) Epoch: [70][350/10010] Time 0.340 (0.332) Data 0.000 (0.008) Loss 1.7306 (1.3815) Prec@1 62.500 (67.886) Prec@5 85.156 (86.710) Epoch: [70][360/10010] Time 0.336 (0.332) Data 0.000 (0.008) Loss 1.2956 (1.3791) Prec@1 70.312 (67.932) Prec@5 86.719 (86.747) Epoch: [70][370/10010] Time 0.320 (0.332) Data 0.001 (0.007) Loss 1.0593 (1.3790) Prec@1 77.344 (67.960) Prec@5 89.062 (86.731) Epoch: [70][380/10010] Time 0.337 (0.332) Data 0.000 (0.007) Loss 1.5585 (1.3791) Prec@1 64.062 (67.944) Prec@5 82.812 (86.719) Epoch: [70][390/10010] Time 0.330 (0.332) Data 0.000 (0.007) Loss 1.3318 (1.3798) Prec@1 71.094 (67.939) Prec@5 82.812 (86.701) Epoch: [70][400/10010] Time 0.323 (0.331) Data 0.001 (0.007) Loss 1.4059 (1.3817) Prec@1 67.969 (67.875) Prec@5 87.500 (86.686) Epoch: [70][410/10010] Time 0.323 (0.331) Data 0.001 (0.007) Loss 1.5662 (1.3838) Prec@1 64.844 (67.798) Prec@5 84.375 (86.643) Epoch: [70][420/10010] Time 0.324 (0.331) Data 0.001 (0.007) Loss 1.5152 (1.3831) Prec@1 67.188 (67.850) Prec@5 85.938 (86.663) Epoch: [70][430/10010] Time 0.321 (0.331) Data 0.001 (0.007) Loss 1.4361 (1.3849) Prec@1 67.188 (67.815) Prec@5 85.156 (86.643) Epoch: [70][440/10010] Time 0.335 (0.331) Data 0.000 (0.006) Loss 1.2375 (1.3832) Prec@1 75.000 (67.843) Prec@5 90.625 (86.667) Epoch: [70][450/10010] Time 0.331 (0.331) Data 0.001 (0.006) Loss 1.5491 (1.3846) Prec@1 64.062 (67.839) Prec@5 82.812 (86.639) Epoch: [70][460/10010] Time 0.329 (0.331) Data 0.000 (0.006) Loss 1.2587 (1.3849) Prec@1 72.656 (67.825) Prec@5 88.281 (86.641) Epoch: [70][470/10010] Time 0.326 (0.331) Data 0.000 (0.006) Loss 1.2887 (1.3868) Prec@1 70.312 (67.786) Prec@5 85.938 (86.603) Epoch: [70][480/10010] Time 0.320 (0.331) Data 0.001 (0.006) Loss 1.2831 (1.3866) Prec@1 72.656 (67.784) Prec@5 88.281 (86.602) Epoch: [70][490/10010] Time 0.327 (0.331) Data 0.001 (0.006) Loss 1.2442 (1.3845) Prec@1 69.531 (67.829) Prec@5 86.719 (86.620) Epoch: [70][500/10010] Time 0.318 (0.331) Data 0.001 (0.006) Loss 1.4073 (1.3859) Prec@1 67.188 (67.813) Prec@5 85.156 (86.606) Epoch: [70][510/10010] Time 0.339 (0.330) Data 0.001 (0.006) Loss 1.3751 (1.3859) Prec@1 67.188 (67.788) Prec@5 85.156 (86.604) Epoch: [70][520/10010] Time 0.337 (0.330) Data 0.000 (0.006) Loss 1.5243 (1.3860) Prec@1 67.188 (67.795) Prec@5 83.594 (86.602) Epoch: [70][530/10010] Time 0.334 (0.330) Data 0.000 (0.005) Loss 1.2356 (1.3848) Prec@1 73.438 (67.810) Prec@5 89.844 (86.622) Epoch: [70][540/10010] Time 0.316 (0.330) Data 0.001 (0.005) Loss 1.3188 (1.3852) Prec@1 69.531 (67.800) Prec@5 87.500 (86.618) Epoch: [70][550/10010] Time 0.321 (0.330) Data 0.000 (0.005) Loss 1.3684 (1.3861) Prec@1 68.750 (67.773) Prec@5 89.062 (86.611) Epoch: [70][560/10010] Time 0.316 (0.330) Data 0.001 (0.005) Loss 1.4412 (1.3841) Prec@1 64.062 (67.771) Prec@5 83.594 (86.637) Epoch: [70][570/10010] Time 0.324 (0.330) Data 0.000 (0.005) Loss 1.5634 (1.3843) Prec@1 67.969 (67.798) Prec@5 85.938 (86.637) Epoch: [70][580/10010] Time 0.340 (0.330) Data 0.000 (0.005) Loss 1.5538 (1.3856) Prec@1 60.938 (67.785) Prec@5 85.156 (86.623) Epoch: [70][590/10010] Time 0.329 (0.330) Data 0.001 (0.005) Loss 1.1439 (1.3863) Prec@1 69.531 (67.755) Prec@5 89.844 (86.606) Epoch: [70][600/10010] Time 0.328 (0.330) Data 0.001 (0.005) Loss 1.5659 (1.3870) Prec@1 64.844 (67.748) Prec@5 81.250 (86.593) Epoch: [70][610/10010] Time 0.327 (0.330) Data 0.000 (0.005) Loss 1.7424 (1.3872) Prec@1 54.688 (67.728) Prec@5 79.688 (86.588) Epoch: [70][620/10010] Time 0.331 (0.330) Data 0.001 (0.005) Loss 1.4898 (1.3877) Prec@1 60.938 (67.707) Prec@5 88.281 (86.578) Epoch: [70][630/10010] Time 0.340 (0.330) Data 0.001 (0.005) Loss 1.2103 (1.3873) Prec@1 71.875 (67.712) Prec@5 87.500 (86.579) Epoch: [70][640/10010] Time 0.326 (0.330) Data 0.000 (0.005) Loss 1.1977 (1.3870) Prec@1 71.875 (67.726) Prec@5 89.844 (86.571) Epoch: [70][650/10010] Time 0.315 (0.330) Data 0.001 (0.005) Loss 1.2220 (1.3874) Prec@1 67.188 (67.725) Prec@5 89.062 (86.574) Epoch: [70][660/10010] Time 0.336 (0.330) Data 0.000 (0.004) Loss 1.2252 (1.3887) Prec@1 67.969 (67.690) Prec@5 89.844 (86.570) Epoch: [70][670/10010] Time 0.337 (0.330) Data 0.001 (0.004) Loss 1.4867 (1.3884) Prec@1 62.500 (67.690) Prec@5 87.500 (86.579) Epoch: [70][680/10010] Time 0.320 (0.330) Data 0.001 (0.004) Loss 1.5164 (1.3883) Prec@1 66.406 (67.695) Prec@5 80.469 (86.586) Epoch: [70][690/10010] Time 0.340 (0.330) Data 0.001 (0.004) Loss 1.5651 (1.3886) Prec@1 67.188 (67.699) Prec@5 83.594 (86.570) Epoch: [70][700/10010] Time 0.315 (0.330) Data 0.001 (0.004) Loss 1.3024 (1.3892) Prec@1 67.969 (67.689) Prec@5 87.500 (86.556) Epoch: [70][710/10010] Time 0.343 (0.330) Data 0.001 (0.004) Loss 1.1873 (1.3897) Prec@1 69.531 (67.675) Prec@5 89.844 (86.543) Epoch: [70][720/10010] Time 0.339 (0.330) Data 0.000 (0.004) Loss 1.4914 (1.3894) Prec@1 64.844 (67.678) Prec@5 85.938 (86.538) Epoch: [70][730/10010] Time 0.333 (0.330) Data 0.000 (0.004) Loss 1.0354 (1.3883) Prec@1 74.219 (67.681) Prec@5 94.531 (86.555) Epoch: [70][740/10010] Time 0.318 (0.330) Data 0.000 (0.004) Loss 1.2834 (1.3875) Prec@1 69.531 (67.680) Prec@5 90.625 (86.573) Epoch: [70][750/10010] Time 0.334 (0.330) Data 0.001 (0.004) Loss 1.3598 (1.3877) Prec@1 69.531 (67.672) Prec@5 86.719 (86.578) Epoch: [70][760/10010] Time 0.331 (0.330) Data 0.001 (0.004) Loss 1.2916 (1.3870) Prec@1 71.094 (67.688) Prec@5 88.281 (86.590) Epoch: [70][770/10010] Time 0.337 (0.330) Data 0.001 (0.004) Loss 1.2981 (1.3870) Prec@1 70.312 (67.689) Prec@5 85.938 (86.589) Epoch: [70][780/10010] Time 0.325 (0.330) Data 0.000 (0.004) Loss 1.2260 (1.3877) Prec@1 74.219 (67.679) Prec@5 88.281 (86.588) Epoch: [70][790/10010] Time 0.340 (0.330) Data 0.000 (0.004) Loss 1.3378 (1.3868) Prec@1 70.312 (67.703) Prec@5 85.156 (86.589) Epoch: [70][800/10010] Time 0.326 (0.330) Data 0.000 (0.004) Loss 1.3644 (1.3862) Prec@1 67.188 (67.711) Prec@5 86.719 (86.592) Epoch: [70][810/10010] Time 0.313 (0.330) Data 0.001 (0.004) Loss 1.3694 (1.3860) Prec@1 67.969 (67.718) Prec@5 86.719 (86.589) Epoch: [70][820/10010] Time 0.331 (0.330) Data 0.000 (0.004) Loss 1.4172 (1.3867) Prec@1 66.406 (67.703) Prec@5 87.500 (86.581) Epoch: [70][830/10010] Time 0.315 (0.330) Data 0.001 (0.004) Loss 1.3392 (1.3865) Prec@1 72.656 (67.705) Prec@5 85.156 (86.582) Epoch: [70][840/10010] Time 0.339 (0.330) Data 0.000 (0.004) Loss 1.6145 (1.3867) Prec@1 60.938 (67.694) Prec@5 82.031 (86.576) Epoch: [70][850/10010] Time 0.333 (0.330) Data 0.000 (0.004) Loss 1.3309 (1.3858) Prec@1 73.438 (67.727) Prec@5 85.156 (86.587) Epoch: [70][860/10010] Time 0.315 (0.330) Data 0.000 (0.004) Loss 1.4625 (1.3867) Prec@1 63.281 (67.703) Prec@5 87.500 (86.570) Epoch: [70][870/10010] Time 0.316 (0.330) Data 0.000 (0.004) Loss 1.3181 (1.3876) Prec@1 65.625 (67.696) Prec@5 90.625 (86.563) Epoch: [70][880/10010] Time 0.334 (0.330) Data 0.001 (0.003) Loss 1.3138 (1.3870) Prec@1 70.312 (67.699) Prec@5 85.938 (86.566) Epoch: [70][890/10010] Time 0.312 (0.330) Data 0.000 (0.003) Loss 1.1967 (1.3874) Prec@1 71.875 (67.701) Prec@5 89.062 (86.562) Epoch: [70][900/10010] Time 0.332 (0.330) Data 0.001 (0.003) Loss 1.5645 (1.3888) Prec@1 57.812 (67.683) Prec@5 82.812 (86.542) Epoch: [70][910/10010] Time 0.315 (0.330) Data 0.000 (0.003) Loss 1.4275 (1.3877) Prec@1 67.969 (67.705) Prec@5 86.719 (86.561) Epoch: [70][920/10010] Time 0.320 (0.330) Data 0.000 (0.003) Loss 1.5513 (1.3888) Prec@1 63.281 (67.673) Prec@5 85.156 (86.549) Epoch: [70][930/10010] Time 0.327 (0.330) Data 0.000 (0.003) Loss 1.5398 (1.3886) Prec@1 64.844 (67.684) Prec@5 82.812 (86.556) Epoch: [70][940/10010] Time 0.324 (0.329) Data 0.000 (0.003) Loss 1.2909 (1.3882) Prec@1 74.219 (67.711) Prec@5 86.719 (86.568) Epoch: [70][950/10010] Time 0.324 (0.329) Data 0.000 (0.003) Loss 1.3331 (1.3889) Prec@1 64.844 (67.708) Prec@5 89.062 (86.554) Epoch: [70][960/10010] Time 0.316 (0.329) Data 0.000 (0.003) Loss 1.2504 (1.3895) Prec@1 71.094 (67.695) Prec@5 85.938 (86.549) Epoch: [70][970/10010] Time 0.327 (0.329) Data 0.001 (0.003) Loss 1.3627 (1.3899) Prec@1 66.406 (67.682) Prec@5 88.281 (86.553) Epoch: [70][980/10010] Time 0.316 (0.329) Data 0.000 (0.003) Loss 1.3283 (1.3906) Prec@1 64.844 (67.665) Prec@5 85.156 (86.541) Epoch: [70][990/10010] Time 0.326 (0.329) Data 0.000 (0.003) Loss 1.7856 (1.3907) Prec@1 63.281 (67.652) Prec@5 82.031 (86.537) Epoch: [70][1000/10010] Time 0.331 (0.329) Data 0.001 (0.003) Loss 1.4903 (1.3909) Prec@1 58.594 (67.645) Prec@5 85.156 (86.528) Epoch: [70][1010/10010] Time 0.325 (0.329) Data 0.000 (0.003) Loss 1.5796 (1.3911) Prec@1 67.188 (67.646) Prec@5 85.938 (86.527) Epoch: [70][1020/10010] Time 0.309 (0.329) Data 0.000 (0.003) Loss 1.1578 (1.3905) Prec@1 75.000 (67.665) Prec@5 90.625 (86.528) Epoch: [70][1030/10010] Time 0.330 (0.329) Data 0.001 (0.003) Loss 1.7676 (1.3914) Prec@1 62.500 (67.641) Prec@5 79.688 (86.518) Epoch: [70][1040/10010] Time 0.318 (0.329) Data 0.000 (0.003) Loss 1.6032 (1.3913) Prec@1 66.406 (67.656) Prec@5 85.156 (86.507) Epoch: [70][1050/10010] Time 0.334 (0.329) Data 0.000 (0.003) Loss 1.7583 (1.3919) Prec@1 60.938 (67.647) Prec@5 80.469 (86.502) Epoch: [70][1060/10010] Time 0.333 (0.329) Data 0.000 (0.003) Loss 1.3564 (1.3921) Prec@1 68.750 (67.645) Prec@5 88.281 (86.495) Epoch: [70][1070/10010] Time 0.328 (0.329) Data 0.000 (0.003) Loss 1.4001 (1.3923) Prec@1 63.281 (67.635) Prec@5 89.062 (86.496) Epoch: [70][1080/10010] Time 0.334 (0.329) Data 0.000 (0.003) Loss 1.6093 (1.3923) Prec@1 64.062 (67.635) Prec@5 82.031 (86.498) Epoch: [70][1090/10010] Time 0.337 (0.329) Data 0.001 (0.003) Loss 1.0092 (1.3921) Prec@1 78.906 (67.650) Prec@5 92.188 (86.505) Epoch: [70][1100/10010] Time 0.343 (0.329) Data 0.000 (0.003) Loss 1.5443 (1.3925) Prec@1 69.531 (67.644) Prec@5 83.594 (86.496) Epoch: [70][1110/10010] Time 0.323 (0.329) Data 0.001 (0.003) Loss 1.5199 (1.3927) Prec@1 60.938 (67.633) Prec@5 84.375 (86.487) Epoch: [70][1120/10010] Time 0.309 (0.329) Data 0.000 (0.003) Loss 1.0154 (1.3922) Prec@1 79.688 (67.654) Prec@5 91.406 (86.489) Epoch: [70][1130/10010] Time 0.334 (0.329) Data 0.000 (0.003) Loss 1.2305 (1.3917) Prec@1 67.969 (67.666) Prec@5 89.844 (86.500) Epoch: [70][1140/10010] Time 0.318 (0.329) Data 0.001 (0.003) Loss 1.2974 (1.3918) Prec@1 71.094 (67.672) Prec@5 87.500 (86.500) Epoch: [70][1150/10010] Time 0.331 (0.329) Data 0.001 (0.003) Loss 1.0513 (1.3913) Prec@1 73.438 (67.683) Prec@5 90.625 (86.506) Epoch: [70][1160/10010] Time 0.334 (0.329) Data 0.000 (0.003) Loss 1.5437 (1.3925) Prec@1 64.062 (67.668) Prec@5 82.812 (86.491) Epoch: [70][1170/10010] Time 0.339 (0.329) Data 0.001 (0.003) Loss 1.1382 (1.3929) Prec@1 71.875 (67.659) Prec@5 89.062 (86.481) Epoch: [70][1180/10010] Time 0.319 (0.329) Data 0.000 (0.003) Loss 1.5177 (1.3925) Prec@1 67.188 (67.676) Prec@5 80.469 (86.485) Epoch: [70][1190/10010] Time 0.324 (0.329) Data 0.001 (0.003) Loss 1.1496 (1.3925) Prec@1 71.094 (67.665) Prec@5 89.844 (86.484) Epoch: [70][1200/10010] Time 0.326 (0.329) Data 0.001 (0.003) Loss 1.3263 (1.3926) Prec@1 71.094 (67.661) Prec@5 85.156 (86.480) Epoch: [70][1210/10010] Time 0.328 (0.329) Data 0.000 (0.003) Loss 1.2697 (1.3920) Prec@1 67.969 (67.671) Prec@5 89.062 (86.484) Epoch: [70][1220/10010] Time 0.320 (0.329) Data 0.001 (0.003) Loss 1.4951 (1.3916) Prec@1 68.750 (67.678) Prec@5 83.594 (86.497) Epoch: [70][1230/10010] Time 0.334 (0.329) Data 0.000 (0.003) Loss 1.5334 (1.3914) Prec@1 66.406 (67.684) Prec@5 85.156 (86.500) Epoch: [70][1240/10010] Time 0.330 (0.329) Data 0.001 (0.003) Loss 1.5964 (1.3916) Prec@1 63.281 (67.676) Prec@5 84.375 (86.508) Epoch: [70][1250/10010] Time 0.336 (0.329) Data 0.000 (0.003) Loss 1.6249 (1.3917) Prec@1 62.500 (67.677) Prec@5 88.281 (86.518) Epoch: [70][1260/10010] Time 0.314 (0.329) Data 0.000 (0.003) Loss 1.3296 (1.3913) Prec@1 64.062 (67.689) Prec@5 91.406 (86.526) Epoch: [70][1270/10010] Time 0.324 (0.329) Data 0.001 (0.003) Loss 1.4961 (1.3918) Prec@1 66.406 (67.684) Prec@5 85.156 (86.518) Epoch: [70][1280/10010] Time 0.340 (0.329) Data 0.001 (0.003) Loss 1.2309 (1.3924) Prec@1 68.750 (67.660) Prec@5 86.719 (86.506) Epoch: [70][1290/10010] Time 0.337 (0.329) Data 0.001 (0.003) Loss 1.3627 (1.3922) Prec@1 67.969 (67.666) Prec@5 85.938 (86.502) Epoch: [70][1300/10010] Time 0.336 (0.329) Data 0.001 (0.003) Loss 1.2609 (1.3921) Prec@1 69.531 (67.669) Prec@5 86.719 (86.503) Epoch: [70][1310/10010] Time 0.340 (0.329) Data 0.000 (0.003) Loss 1.2873 (1.3918) Prec@1 69.531 (67.687) Prec@5 90.625 (86.505) Epoch: [70][1320/10010] Time 0.322 (0.329) Data 0.000 (0.003) Loss 1.2842 (1.3918) Prec@1 66.406 (67.682) Prec@5 87.500 (86.506) Epoch: [70][1330/10010] Time 0.340 (0.329) Data 0.001 (0.003) Loss 1.4549 (1.3914) Prec@1 67.188 (67.692) Prec@5 87.500 (86.518) Epoch: [70][1340/10010] Time 0.311 (0.329) Data 0.001 (0.002) Loss 1.3374 (1.3915) Prec@1 67.969 (67.694) Prec@5 87.500 (86.518) Epoch: [70][1350/10010] Time 0.334 (0.329) Data 0.000 (0.002) Loss 1.4665 (1.3918) Prec@1 68.750 (67.700) Prec@5 87.500 (86.512) Epoch: [70][1360/10010] Time 0.320 (0.329) Data 0.000 (0.002) Loss 1.3851 (1.3921) Prec@1 67.969 (67.696) Prec@5 89.062 (86.510) Epoch: [70][1370/10010] Time 0.333 (0.329) Data 0.001 (0.002) Loss 1.2598 (1.3924) Prec@1 66.406 (67.692) Prec@5 88.281 (86.503) Epoch: [70][1380/10010] Time 0.336 (0.329) Data 0.001 (0.002) Loss 1.5740 (1.3925) Prec@1 64.844 (67.677) Prec@5 85.938 (86.502) Epoch: [70][1390/10010] Time 0.339 (0.329) Data 0.001 (0.002) Loss 1.4932 (1.3928) Prec@1 64.062 (67.675) Prec@5 88.281 (86.501) Epoch: [70][1400/10010] Time 0.337 (0.329) Data 0.001 (0.002) Loss 1.2439 (1.3919) Prec@1 67.969 (67.688) Prec@5 87.500 (86.522) Epoch: [70][1410/10010] Time 0.314 (0.329) Data 0.000 (0.002) Loss 1.1946 (1.3917) Prec@1 71.875 (67.685) Prec@5 89.844 (86.526) Epoch: [70][1420/10010] Time 0.318 (0.329) Data 0.000 (0.002) Loss 1.2647 (1.3920) Prec@1 72.656 (67.687) Prec@5 88.281 (86.526) Epoch: [70][1430/10010] Time 0.325 (0.329) Data 0.000 (0.002) Loss 1.2159 (1.3921) Prec@1 70.312 (67.678) Prec@5 86.719 (86.528) Epoch: [70][1440/10010] Time 0.342 (0.329) Data 0.000 (0.002) Loss 1.1229 (1.3919) Prec@1 72.656 (67.674) Prec@5 92.188 (86.533) Epoch: [70][1450/10010] Time 0.337 (0.329) Data 0.001 (0.002) Loss 1.1039 (1.3926) Prec@1 73.438 (67.667) Prec@5 90.625 (86.522) Epoch: [70][1460/10010] Time 0.325 (0.329) Data 0.001 (0.002) Loss 1.3736 (1.3929) Prec@1 66.406 (67.668) Prec@5 86.719 (86.520) Epoch: [70][1470/10010] Time 0.340 (0.329) Data 0.000 (0.002) Loss 1.5318 (1.3927) Prec@1 67.969 (67.677) Prec@5 82.812 (86.520) Epoch: [70][1480/10010] Time 0.339 (0.329) Data 0.000 (0.002) Loss 1.3988 (1.3927) Prec@1 67.188 (67.673) Prec@5 87.500 (86.524) Epoch: [70][1490/10010] Time 0.338 (0.329) Data 0.000 (0.002) Loss 1.3396 (1.3929) Prec@1 69.531 (67.666) Prec@5 85.156 (86.524) Epoch: [70][1500/10010] Time 0.328 (0.329) Data 0.001 (0.002) Loss 1.4804 (1.3930) Prec@1 66.406 (67.669) Prec@5 85.156 (86.520) Epoch: [70][1510/10010] Time 0.311 (0.329) Data 0.001 (0.002) Loss 1.3012 (1.3928) Prec@1 70.312 (67.669) Prec@5 88.281 (86.521) Epoch: [70][1520/10010] Time 0.338 (0.329) Data 0.001 (0.002) Loss 1.1857 (1.3924) Prec@1 73.438 (67.679) Prec@5 88.281 (86.523) Epoch: [70][1530/10010] Time 0.339 (0.329) Data 0.000 (0.002) Loss 1.1122 (1.3917) Prec@1 74.219 (67.698) Prec@5 88.281 (86.532) Epoch: [70][1540/10010] Time 0.338 (0.329) Data 0.001 (0.002) Loss 1.4122 (1.3920) Prec@1 67.188 (67.694) Prec@5 85.156 (86.523) Epoch: [70][1550/10010] Time 0.341 (0.329) Data 0.000 (0.002) Loss 1.4344 (1.3923) Prec@1 67.188 (67.688) Prec@5 82.812 (86.515) Epoch: [70][1560/10010] Time 0.330 (0.329) Data 0.000 (0.002) Loss 0.8659 (1.3919) Prec@1 81.250 (67.697) Prec@5 92.969 (86.515) Epoch: [70][1570/10010] Time 0.330 (0.329) Data 0.000 (0.002) Loss 1.2579 (1.3923) Prec@1 71.875 (67.692) Prec@5 86.719 (86.507) Epoch: [70][1580/10010] Time 0.337 (0.329) Data 0.001 (0.002) Loss 1.2425 (1.3916) Prec@1 67.188 (67.705) Prec@5 89.062 (86.518) Epoch: [70][1590/10010] Time 0.338 (0.329) Data 0.001 (0.002) Loss 1.3349 (1.3920) Prec@1 71.875 (67.705) Prec@5 88.281 (86.509) Epoch: [70][1600/10010] Time 0.314 (0.329) Data 0.000 (0.002) Loss 1.2549 (1.3919) Prec@1 67.188 (67.705) Prec@5 91.406 (86.512) Epoch: [70][1610/10010] Time 0.314 (0.329) Data 0.000 (0.002) Loss 1.7002 (1.3923) Prec@1 65.625 (67.702) Prec@5 78.906 (86.505) Epoch: [70][1620/10010] Time 0.331 (0.329) Data 0.000 (0.002) Loss 1.4556 (1.3923) Prec@1 63.281 (67.704) Prec@5 85.938 (86.502) Epoch: [70][1630/10010] Time 0.316 (0.329) Data 0.000 (0.002) Loss 1.8374 (1.3923) Prec@1 54.688 (67.705) Prec@5 80.469 (86.500) Epoch: [70][1640/10010] Time 0.324 (0.329) Data 0.001 (0.002) Loss 1.3286 (1.3925) Prec@1 67.188 (67.694) Prec@5 88.281 (86.499) Epoch: [70][1650/10010] Time 0.311 (0.329) Data 0.001 (0.002) Loss 1.6849 (1.3928) Prec@1 62.500 (67.683) Prec@5 78.906 (86.492) Epoch: [70][1660/10010] Time 0.333 (0.329) Data 0.001 (0.002) Loss 1.4122 (1.3927) Prec@1 67.188 (67.690) Prec@5 87.500 (86.493) Epoch: [70][1670/10010] Time 0.323 (0.329) Data 0.001 (0.002) Loss 1.3727 (1.3930) Prec@1 68.750 (67.684) Prec@5 86.719 (86.491) Epoch: [70][1680/10010] Time 0.322 (0.329) Data 0.000 (0.002) Loss 1.5389 (1.3925) Prec@1 61.719 (67.695) Prec@5 84.375 (86.492) Epoch: [70][1690/10010] Time 0.323 (0.329) Data 0.000 (0.002) Loss 1.3160 (1.3926) Prec@1 72.656 (67.708) Prec@5 86.719 (86.492) Epoch: [70][1700/10010] Time 0.313 (0.329) Data 0.001 (0.002) Loss 1.3332 (1.3925) Prec@1 72.656 (67.707) Prec@5 84.375 (86.488) Epoch: [70][1710/10010] Time 0.316 (0.329) Data 0.001 (0.002) Loss 1.3015 (1.3925) Prec@1 65.625 (67.706) Prec@5 88.281 (86.487) Epoch: [70][1720/10010] Time 0.315 (0.329) Data 0.001 (0.002) Loss 1.3865 (1.3924) Prec@1 65.625 (67.714) Prec@5 87.500 (86.491) Epoch: [70][1730/10010] Time 0.326 (0.329) Data 0.000 (0.002) Loss 1.6508 (1.3926) Prec@1 64.844 (67.710) Prec@5 80.469 (86.488) Epoch: [70][1740/10010] Time 0.320 (0.329) Data 0.001 (0.002) Loss 1.3639 (1.3926) Prec@1 67.188 (67.710) Prec@5 85.156 (86.489) Epoch: [70][1750/10010] Time 0.332 (0.329) Data 0.001 (0.002) Loss 1.3047 (1.3925) Prec@1 66.406 (67.713) Prec@5 84.375 (86.485) Epoch: [70][1760/10010] Time 0.319 (0.329) Data 0.000 (0.002) Loss 1.2627 (1.3927) Prec@1 68.750 (67.711) Prec@5 89.844 (86.482) Epoch: [70][1770/10010] Time 0.334 (0.329) Data 0.001 (0.002) Loss 1.3025 (1.3922) Prec@1 69.531 (67.731) Prec@5 89.062 (86.496) Epoch: [70][1780/10010] Time 0.323 (0.329) Data 0.001 (0.002) Loss 1.5446 (1.3920) Prec@1 65.625 (67.735) Prec@5 85.938 (86.499) Epoch: [70][1790/10010] Time 0.338 (0.329) Data 0.001 (0.002) Loss 1.4663 (1.3919) Prec@1 67.188 (67.737) Prec@5 82.031 (86.499) Epoch: [70][1800/10010] Time 0.321 (0.329) Data 0.001 (0.002) Loss 1.2265 (1.3919) Prec@1 69.531 (67.732) Prec@5 89.062 (86.502) Epoch: [70][1810/10010] Time 0.330 (0.329) Data 0.001 (0.002) Loss 1.2735 (1.3918) Prec@1 70.312 (67.744) Prec@5 85.938 (86.500) Epoch: [70][1820/10010] Time 0.333 (0.329) Data 0.001 (0.002) Loss 1.3244 (1.3917) Prec@1 68.750 (67.743) Prec@5 89.844 (86.498) Epoch: [70][1830/10010] Time 0.321 (0.329) Data 0.000 (0.002) Loss 1.4846 (1.3917) Prec@1 70.312 (67.747) Prec@5 83.594 (86.503) Epoch: [70][1840/10010] Time 0.322 (0.329) Data 0.000 (0.002) Loss 1.3942 (1.3911) Prec@1 68.750 (67.757) Prec@5 87.500 (86.517) Epoch: [70][1850/10010] Time 0.326 (0.329) Data 0.000 (0.002) Loss 1.3601 (1.3904) Prec@1 71.875 (67.778) Prec@5 87.500 (86.529) Epoch: [70][1860/10010] Time 0.322 (0.329) Data 0.000 (0.002) Loss 1.0305 (1.3898) Prec@1 78.125 (67.787) Prec@5 91.406 (86.535) Epoch: [70][1870/10010] Time 0.316 (0.329) Data 0.001 (0.002) Loss 1.3859 (1.3897) Prec@1 67.969 (67.790) Prec@5 85.156 (86.538) Epoch: [70][1880/10010] Time 0.313 (0.329) Data 0.001 (0.002) Loss 1.6359 (1.3899) Prec@1 64.844 (67.792) Prec@5 80.469 (86.534) Epoch: [70][1890/10010] Time 0.338 (0.329) Data 0.001 (0.002) Loss 1.4991 (1.3899) Prec@1 64.062 (67.789) Prec@5 86.719 (86.531) Epoch: [70][1900/10010] Time 0.321 (0.329) Data 0.001 (0.002) Loss 1.3339 (1.3902) Prec@1 68.750 (67.783) Prec@5 89.062 (86.527) Epoch: [70][1910/10010] Time 0.328 (0.329) Data 0.001 (0.002) Loss 1.0754 (1.3901) Prec@1 75.000 (67.788) Prec@5 92.188 (86.527) Epoch: [70][1920/10010] Time 0.317 (0.329) Data 0.001 (0.002) Loss 1.3368 (1.3893) Prec@1 67.969 (67.809) Prec@5 87.500 (86.539) Epoch: [70][1930/10010] Time 0.336 (0.329) Data 0.000 (0.002) Loss 1.6165 (1.3897) Prec@1 66.406 (67.807) Prec@5 83.594 (86.531) Epoch: [70][1940/10010] Time 0.332 (0.329) Data 0.001 (0.002) Loss 1.3230 (1.3898) Prec@1 68.750 (67.805) Prec@5 88.281 (86.530) Epoch: [70][1950/10010] Time 0.311 (0.328) Data 0.001 (0.002) Loss 1.5176 (1.3898) Prec@1 65.625 (67.801) Prec@5 83.594 (86.534) Epoch: [70][1960/10010] Time 0.318 (0.328) Data 0.001 (0.002) Loss 1.2354 (1.3896) Prec@1 70.312 (67.804) Prec@5 86.719 (86.536) Epoch: [70][1970/10010] Time 0.321 (0.328) Data 0.000 (0.002) Loss 1.3568 (1.3896) Prec@1 61.719 (67.806) Prec@5 88.281 (86.532) Epoch: [70][1980/10010] Time 0.329 (0.328) Data 0.001 (0.002) Loss 1.5979 (1.3898) Prec@1 63.281 (67.794) Prec@5 84.375 (86.537) Epoch: [70][1990/10010] Time 0.334 (0.328) Data 0.001 (0.002) Loss 1.3179 (1.3897) Prec@1 72.656 (67.801) Prec@5 89.062 (86.536) Epoch: [70][2000/10010] Time 0.322 (0.328) Data 0.001 (0.002) Loss 0.8896 (1.3889) Prec@1 78.906 (67.818) Prec@5 94.531 (86.547) Epoch: [70][2010/10010] Time 0.334 (0.328) Data 0.001 (0.002) Loss 1.3337 (1.3892) Prec@1 71.094 (67.817) Prec@5 89.844 (86.542) Epoch: [70][2020/10010] Time 0.331 (0.328) Data 0.001 (0.002) Loss 1.4583 (1.3893) Prec@1 63.281 (67.807) Prec@5 85.156 (86.541) Epoch: [70][2030/10010] Time 0.335 (0.328) Data 0.001 (0.002) Loss 1.2526 (1.3891) Prec@1 70.312 (67.808) Prec@5 89.062 (86.541) Epoch: [70][2040/10010] Time 0.334 (0.328) Data 0.000 (0.002) Loss 1.4260 (1.3895) Prec@1 67.969 (67.804) Prec@5 87.500 (86.544) Epoch: [70][2050/10010] Time 0.326 (0.328) Data 0.001 (0.002) Loss 1.2871 (1.3895) Prec@1 69.531 (67.806) Prec@5 89.844 (86.547) Epoch: [70][2060/10010] Time 0.325 (0.328) Data 0.000 (0.002) Loss 1.4301 (1.3894) Prec@1 67.188 (67.805) Prec@5 85.156 (86.553) Epoch: [70][2070/10010] Time 0.333 (0.328) Data 0.001 (0.002) Loss 1.3959 (1.3895) Prec@1 65.625 (67.804) Prec@5 85.938 (86.552) Epoch: [70][2080/10010] Time 0.315 (0.328) Data 0.001 (0.002) Loss 1.4436 (1.3897) Prec@1 65.625 (67.796) Prec@5 86.719 (86.552) Epoch: [70][2090/10010] Time 0.338 (0.328) Data 0.000 (0.002) Loss 1.3070 (1.3894) Prec@1 67.188 (67.799) Prec@5 84.375 (86.554) Epoch: [70][2100/10010] Time 0.316 (0.328) Data 0.001 (0.002) Loss 1.3690 (1.3895) Prec@1 71.094 (67.797) Prec@5 89.062 (86.553) Epoch: [70][2110/10010] Time 0.340 (0.328) Data 0.001 (0.002) Loss 1.8607 (1.3895) Prec@1 60.938 (67.796) Prec@5 77.344 (86.554) Epoch: [70][2120/10010] Time 0.317 (0.328) Data 0.000 (0.002) Loss 1.5538 (1.3899) Prec@1 68.750 (67.788) Prec@5 81.250 (86.546) Epoch: [70][2130/10010] Time 0.335 (0.328) Data 0.000 (0.002) Loss 1.3865 (1.3901) Prec@1 70.312 (67.778) Prec@5 89.844 (86.547) Epoch: [70][2140/10010] Time 0.335 (0.328) Data 0.000 (0.002) Loss 1.3028 (1.3898) Prec@1 71.094 (67.787) Prec@5 85.938 (86.554) Epoch: [70][2150/10010] Time 0.334 (0.328) Data 0.000 (0.002) Loss 1.6322 (1.3898) Prec@1 68.750 (67.786) Prec@5 82.812 (86.554) Epoch: [70][2160/10010] Time 0.332 (0.328) Data 0.001 (0.002) Loss 1.5706 (1.3903) Prec@1 63.281 (67.777) Prec@5 80.469 (86.545) Epoch: [70][2170/10010] Time 0.322 (0.328) Data 0.001 (0.002) Loss 1.4222 (1.3907) Prec@1 68.750 (67.769) Prec@5 84.375 (86.540) Epoch: [70][2180/10010] Time 0.321 (0.328) Data 0.001 (0.002) Loss 0.9260 (1.3908) Prec@1 75.781 (67.767) Prec@5 92.188 (86.534) Epoch: [70][2190/10010] Time 0.338 (0.328) Data 0.000 (0.002) Loss 1.6435 (1.3913) Prec@1 64.844 (67.757) Prec@5 81.250 (86.532) Epoch: [70][2200/10010] Time 0.336 (0.328) Data 0.001 (0.002) Loss 1.5656 (1.3912) Prec@1 67.969 (67.760) Prec@5 82.031 (86.530) Epoch: [70][2210/10010] Time 0.338 (0.328) Data 0.000 (0.002) Loss 1.3032 (1.3911) Prec@1 71.094 (67.765) Prec@5 89.062 (86.534) Epoch: [70][2220/10010] Time 0.312 (0.328) Data 0.001 (0.002) Loss 1.4526 (1.3910) Prec@1 67.969 (67.772) Prec@5 82.031 (86.531) Epoch: [70][2230/10010] Time 0.339 (0.328) Data 0.001 (0.002) Loss 1.3503 (1.3915) Prec@1 70.312 (67.768) Prec@5 86.719 (86.524) Epoch: [70][2240/10010] Time 0.317 (0.328) Data 0.000 (0.002) Loss 1.1094 (1.3912) Prec@1 72.656 (67.776) Prec@5 89.062 (86.527) Epoch: [70][2250/10010] Time 0.329 (0.328) Data 0.000 (0.002) Loss 1.1855 (1.3913) Prec@1 68.750 (67.767) Prec@5 89.062 (86.524) Epoch: [70][2260/10010] Time 0.329 (0.328) Data 0.001 (0.002) Loss 1.3654 (1.3911) Prec@1 64.062 (67.771) Prec@5 87.500 (86.530) Epoch: [70][2270/10010] Time 0.319 (0.328) Data 0.001 (0.002) Loss 1.3305 (1.3911) Prec@1 67.188 (67.769) Prec@5 87.500 (86.527) Epoch: [70][2280/10010] Time 0.327 (0.328) Data 0.001 (0.002) Loss 1.3882 (1.3910) Prec@1 67.188 (67.766) Prec@5 84.375 (86.527) Epoch: [70][2290/10010] Time 0.328 (0.328) Data 0.000 (0.002) Loss 1.5206 (1.3907) Prec@1 60.938 (67.771) Prec@5 83.594 (86.532) Epoch: [70][2300/10010] Time 0.318 (0.328) Data 0.001 (0.002) Loss 1.2300 (1.3901) Prec@1 74.219 (67.787) Prec@5 87.500 (86.539) Epoch: [70][2310/10010] Time 0.318 (0.328) Data 0.001 (0.002) Loss 1.6017 (1.3903) Prec@1 63.281 (67.775) Prec@5 82.812 (86.537) Epoch: [70][2320/10010] Time 0.318 (0.328) Data 0.001 (0.002) Loss 1.3931 (1.3903) Prec@1 67.188 (67.774) Prec@5 86.719 (86.535) Epoch: [70][2330/10010] Time 0.316 (0.328) Data 0.001 (0.002) Loss 1.2839 (1.3903) Prec@1 67.969 (67.772) Prec@5 86.719 (86.532) Epoch: [70][2340/10010] Time 0.329 (0.328) Data 0.001 (0.002) Loss 1.8092 (1.3904) Prec@1 57.031 (67.767) Prec@5 82.031 (86.533) Epoch: [70][2350/10010] Time 0.323 (0.328) Data 0.001 (0.002) Loss 1.3770 (1.3905) Prec@1 65.625 (67.767) Prec@5 85.156 (86.527) Epoch: [70][2360/10010] Time 0.341 (0.328) Data 0.001 (0.002) Loss 1.3143 (1.3905) Prec@1 65.625 (67.770) Prec@5 87.500 (86.527) Epoch: [70][2370/10010] Time 0.343 (0.328) Data 0.000 (0.002) Loss 1.2428 (1.3906) Prec@1 68.750 (67.769) Prec@5 89.062 (86.526) Epoch: [70][2380/10010] Time 0.324 (0.328) Data 0.001 (0.002) Loss 1.3997 (1.3906) Prec@1 69.531 (67.770) Prec@5 85.156 (86.526) Epoch: [70][2390/10010] Time 0.332 (0.328) Data 0.001 (0.002) Loss 1.4570 (1.3908) Prec@1 67.969 (67.767) Prec@5 84.375 (86.525) Epoch: [70][2400/10010] Time 0.314 (0.328) Data 0.001 (0.002) Loss 1.2330 (1.3910) Prec@1 67.969 (67.759) Prec@5 89.062 (86.524) Epoch: [70][2410/10010] Time 0.319 (0.328) Data 0.000 (0.002) Loss 1.4535 (1.3910) Prec@1 67.188 (67.754) Prec@5 86.719 (86.526) Epoch: [70][2420/10010] Time 0.318 (0.328) Data 0.001 (0.002) Loss 1.5419 (1.3911) Prec@1 66.406 (67.751) Prec@5 85.156 (86.525) Epoch: [70][2430/10010] Time 0.338 (0.328) Data 0.001 (0.002) Loss 1.2580 (1.3909) Prec@1 69.531 (67.756) Prec@5 85.156 (86.528) Epoch: [70][2440/10010] Time 0.330 (0.328) Data 0.001 (0.002) Loss 1.2437 (1.3909) Prec@1 74.219 (67.762) Prec@5 89.062 (86.527) Epoch: [70][2450/10010] Time 0.329 (0.328) Data 0.001 (0.002) Loss 1.3541 (1.3905) Prec@1 67.969 (67.767) Prec@5 85.156 (86.535) Epoch: [70][2460/10010] Time 0.328 (0.328) Data 0.001 (0.002) Loss 1.5131 (1.3904) Prec@1 67.969 (67.773) Prec@5 82.031 (86.534) Epoch: [70][2470/10010] Time 0.316 (0.328) Data 0.001 (0.002) Loss 1.3720 (1.3903) Prec@1 70.312 (67.774) Prec@5 89.844 (86.534) Epoch: [70][2480/10010] Time 0.334 (0.328) Data 0.001 (0.002) Loss 1.1093 (1.3902) Prec@1 73.438 (67.781) Prec@5 89.844 (86.535) Epoch: [70][2490/10010] Time 0.342 (0.328) Data 0.000 (0.002) Loss 1.3563 (1.3902) Prec@1 69.531 (67.779) Prec@5 86.719 (86.537) Epoch: [70][2500/10010] Time 0.316 (0.328) Data 0.000 (0.002) Loss 1.2494 (1.3900) Prec@1 72.656 (67.782) Prec@5 86.719 (86.536) Epoch: [70][2510/10010] Time 0.319 (0.328) Data 0.001 (0.002) Loss 1.4423 (1.3899) Prec@1 62.500 (67.781) Prec@5 87.500 (86.540) Epoch: [70][2520/10010] Time 0.328 (0.328) Data 0.000 (0.002) Loss 1.2417 (1.3898) Prec@1 65.625 (67.781) Prec@5 89.844 (86.543) Epoch: [70][2530/10010] Time 0.320 (0.328) Data 0.000 (0.002) Loss 1.1510 (1.3892) Prec@1 67.188 (67.794) Prec@5 91.406 (86.551) Epoch: [70][2540/10010] Time 0.324 (0.328) Data 0.000 (0.002) Loss 1.5668 (1.3892) Prec@1 67.969 (67.792) Prec@5 84.375 (86.550) Epoch: [70][2550/10010] Time 0.313 (0.328) Data 0.001 (0.002) Loss 1.5751 (1.3895) Prec@1 62.500 (67.784) Prec@5 83.594 (86.545) Epoch: [70][2560/10010] Time 0.327 (0.328) Data 0.001 (0.002) Loss 1.3869 (1.3895) Prec@1 65.625 (67.783) Prec@5 89.062 (86.547) Epoch: [70][2570/10010] Time 0.325 (0.328) Data 0.000 (0.002) Loss 1.2803 (1.3893) Prec@1 70.312 (67.788) Prec@5 89.062 (86.553) Epoch: [70][2580/10010] Time 0.322 (0.328) Data 0.001 (0.002) Loss 1.3562 (1.3893) Prec@1 68.750 (67.785) Prec@5 84.375 (86.550) Epoch: [70][2590/10010] Time 0.321 (0.328) Data 0.000 (0.002) Loss 1.0457 (1.3892) Prec@1 72.656 (67.786) Prec@5 92.188 (86.550) Epoch: [70][2600/10010] Time 0.314 (0.328) Data 0.001 (0.002) Loss 1.4822 (1.3893) Prec@1 64.844 (67.785) Prec@5 84.375 (86.550) Epoch: [70][2610/10010] Time 0.319 (0.328) Data 0.000 (0.002) Loss 1.4202 (1.3892) Prec@1 71.094 (67.790) Prec@5 88.281 (86.553) Epoch: [70][2620/10010] Time 0.323 (0.328) Data 0.000 (0.002) Loss 1.3472 (1.3894) Prec@1 67.188 (67.781) Prec@5 86.719 (86.549) Epoch: [70][2630/10010] Time 0.320 (0.328) Data 0.001 (0.002) Loss 1.4382 (1.3893) Prec@1 66.406 (67.783) Prec@5 85.156 (86.550) Epoch: [70][2640/10010] Time 0.330 (0.328) Data 0.000 (0.002) Loss 1.5165 (1.3893) Prec@1 63.281 (67.788) Prec@5 86.719 (86.553) Epoch: [70][2650/10010] Time 0.326 (0.328) Data 0.001 (0.002) Loss 1.3544 (1.3893) Prec@1 67.188 (67.786) Prec@5 84.375 (86.550) Epoch: [70][2660/10010] Time 0.341 (0.328) Data 0.000 (0.002) Loss 1.3038 (1.3893) Prec@1 71.875 (67.786) Prec@5 85.938 (86.550) Epoch: [70][2670/10010] Time 0.331 (0.328) Data 0.001 (0.002) Loss 1.4866 (1.3894) Prec@1 65.625 (67.780) Prec@5 82.031 (86.550) Epoch: [70][2680/10010] Time 0.316 (0.328) Data 0.000 (0.002) Loss 1.4658 (1.3894) Prec@1 64.062 (67.778) Prec@5 85.938 (86.549) Epoch: [70][2690/10010] Time 0.334 (0.328) Data 0.000 (0.002) Loss 1.1960 (1.3897) Prec@1 69.531 (67.771) Prec@5 89.844 (86.545) Epoch: [70][2700/10010] Time 0.327 (0.328) Data 0.001 (0.002) Loss 1.6889 (1.3897) Prec@1 59.375 (67.773) Prec@5 80.469 (86.544) Epoch: [70][2710/10010] Time 0.338 (0.328) Data 0.001 (0.002) Loss 1.6283 (1.3899) Prec@1 57.031 (67.764) Prec@5 83.594 (86.542) Epoch: [70][2720/10010] Time 0.326 (0.328) Data 0.001 (0.002) Loss 1.1487 (1.3897) Prec@1 69.531 (67.767) Prec@5 92.188 (86.549) Epoch: [70][2730/10010] Time 0.323 (0.328) Data 0.000 (0.002) Loss 1.4394 (1.3898) Prec@1 67.969 (67.770) Prec@5 89.844 (86.548) Epoch: [70][2740/10010] Time 0.340 (0.328) Data 0.001 (0.002) Loss 1.1159 (1.3898) Prec@1 72.656 (67.774) Prec@5 93.750 (86.551) Epoch: [70][2750/10010] Time 0.321 (0.328) Data 0.001 (0.002) Loss 1.4262 (1.3896) Prec@1 62.500 (67.782) Prec@5 86.719 (86.552) Epoch: [70][2760/10010] Time 0.339 (0.328) Data 0.000 (0.002) Loss 1.3579 (1.3893) Prec@1 71.875 (67.786) Prec@5 86.719 (86.557) Epoch: [70][2770/10010] Time 0.323 (0.328) Data 0.001 (0.002) Loss 1.2454 (1.3889) Prec@1 67.188 (67.791) Prec@5 89.844 (86.563) Epoch: [70][2780/10010] Time 0.330 (0.328) Data 0.001 (0.002) Loss 1.4992 (1.3888) Prec@1 66.406 (67.796) Prec@5 83.594 (86.565) Epoch: [70][2790/10010] Time 0.321 (0.328) Data 0.001 (0.002) Loss 1.1835 (1.3884) Prec@1 74.219 (67.808) Prec@5 85.938 (86.568) Epoch: [70][2800/10010] Time 0.334 (0.328) Data 0.000 (0.002) Loss 1.5975 (1.3883) Prec@1 60.938 (67.808) Prec@5 83.594 (86.568) Epoch: [70][2810/10010] Time 0.333 (0.328) Data 0.000 (0.002) Loss 1.1777 (1.3880) Prec@1 71.875 (67.810) Prec@5 89.062 (86.569) Epoch: [70][2820/10010] Time 0.339 (0.328) Data 0.001 (0.002) Loss 1.3524 (1.3879) Prec@1 65.625 (67.814) Prec@5 86.719 (86.571) Epoch: [70][2830/10010] Time 0.320 (0.328) Data 0.001 (0.002) Loss 1.2054 (1.3881) Prec@1 66.406 (67.805) Prec@5 89.844 (86.571) Epoch: [70][2840/10010] Time 0.336 (0.328) Data 0.001 (0.002) Loss 1.4478 (1.3877) Prec@1 69.531 (67.808) Prec@5 85.938 (86.576) Epoch: [70][2850/10010] Time 0.319 (0.328) Data 0.000 (0.001) Loss 1.1693 (1.3878) Prec@1 71.094 (67.808) Prec@5 87.500 (86.577) Epoch: [70][2860/10010] Time 0.340 (0.328) Data 0.000 (0.001) Loss 1.4113 (1.3879) Prec@1 63.281 (67.809) Prec@5 85.938 (86.576) Epoch: [70][2870/10010] Time 0.338 (0.328) Data 0.000 (0.001) Loss 1.2327 (1.3881) Prec@1 71.875 (67.808) Prec@5 87.500 (86.572) Epoch: [70][2880/10010] Time 0.325 (0.328) Data 0.001 (0.001) Loss 1.3404 (1.3879) Prec@1 67.188 (67.812) Prec@5 85.938 (86.574) Epoch: [70][2890/10010] Time 0.339 (0.328) Data 0.001 (0.001) Loss 1.3452 (1.3878) Prec@1 67.969 (67.815) Prec@5 86.719 (86.576) Epoch: [70][2900/10010] Time 0.329 (0.328) Data 0.001 (0.001) Loss 1.4239 (1.3877) Prec@1 71.094 (67.815) Prec@5 84.375 (86.575) Epoch: [70][2910/10010] Time 0.319 (0.328) Data 0.000 (0.001) Loss 1.4240 (1.3876) Prec@1 64.062 (67.816) Prec@5 85.156 (86.576) Epoch: [70][2920/10010] Time 0.324 (0.328) Data 0.001 (0.001) Loss 1.2690 (1.3876) Prec@1 70.312 (67.815) Prec@5 87.500 (86.578) Epoch: [70][2930/10010] Time 0.331 (0.328) Data 0.001 (0.001) Loss 1.2340 (1.3872) Prec@1 73.438 (67.825) Prec@5 87.500 (86.581) Epoch: [70][2940/10010] Time 0.317 (0.328) Data 0.000 (0.001) Loss 1.2927 (1.3869) Prec@1 69.531 (67.831) Prec@5 85.938 (86.585) Epoch: [70][2950/10010] Time 0.334 (0.328) Data 0.000 (0.001) Loss 1.3919 (1.3866) Prec@1 62.500 (67.835) Prec@5 86.719 (86.592) Epoch: [70][2960/10010] Time 0.332 (0.328) Data 0.001 (0.001) Loss 1.3353 (1.3867) Prec@1 68.750 (67.838) Prec@5 88.281 (86.589) Epoch: [70][2970/10010] Time 0.316 (0.328) Data 0.001 (0.001) Loss 1.4905 (1.3865) Prec@1 67.188 (67.844) Prec@5 85.938 (86.590) Epoch: [70][2980/10010] Time 0.337 (0.328) Data 0.000 (0.001) Loss 1.2932 (1.3863) Prec@1 76.562 (67.853) Prec@5 87.500 (86.592) Epoch: [70][2990/10010] Time 0.325 (0.328) Data 0.001 (0.001) Loss 1.5919 (1.3865) Prec@1 62.500 (67.846) Prec@5 82.031 (86.592) Epoch: [70][3000/10010] Time 0.336 (0.328) Data 0.001 (0.001) Loss 1.7562 (1.3867) Prec@1 60.938 (67.838) Prec@5 81.250 (86.592) Epoch: [70][3010/10010] Time 0.319 (0.328) Data 0.001 (0.001) Loss 1.5336 (1.3868) Prec@1 60.938 (67.834) Prec@5 84.375 (86.590) Epoch: [70][3020/10010] Time 0.327 (0.328) Data 0.000 (0.001) Loss 1.2901 (1.3866) Prec@1 67.969 (67.839) Prec@5 89.062 (86.594) Epoch: [70][3030/10010] Time 0.337 (0.328) Data 0.000 (0.001) Loss 1.5045 (1.3869) Prec@1 66.406 (67.837) Prec@5 88.281 (86.595) Epoch: [70][3040/10010] Time 0.321 (0.328) Data 0.001 (0.001) Loss 1.3841 (1.3871) Prec@1 67.969 (67.832) Prec@5 86.719 (86.590) Epoch: [70][3050/10010] Time 0.338 (0.328) Data 0.001 (0.001) Loss 1.3317 (1.3873) Prec@1 71.094 (67.826) Prec@5 86.719 (86.588) Epoch: [70][3060/10010] Time 0.324 (0.328) Data 0.001 (0.001) Loss 1.2767 (1.3871) Prec@1 71.094 (67.835) Prec@5 86.719 (86.590) Epoch: [70][3070/10010] Time 0.310 (0.328) Data 0.001 (0.001) Loss 1.2345 (1.3871) Prec@1 71.875 (67.836) Prec@5 90.625 (86.589) Epoch: [70][3080/10010] Time 0.314 (0.328) Data 0.001 (0.001) Loss 1.5839 (1.3872) Prec@1 64.062 (67.836) Prec@5 81.250 (86.587) Epoch: [70][3090/10010] Time 0.318 (0.328) Data 0.001 (0.001) Loss 1.4535 (1.3873) Prec@1 66.406 (67.835) Prec@5 85.938 (86.585) Epoch: [70][3100/10010] Time 0.315 (0.328) Data 0.001 (0.001) Loss 1.2908 (1.3871) Prec@1 68.750 (67.837) Prec@5 85.938 (86.584) Epoch: [70][3110/10010] Time 0.315 (0.328) Data 0.001 (0.001) Loss 1.2568 (1.3873) Prec@1 67.969 (67.833) Prec@5 90.625 (86.583) Epoch: [70][3120/10010] Time 0.337 (0.328) Data 0.000 (0.001) Loss 1.6172 (1.3873) Prec@1 60.938 (67.838) Prec@5 85.938 (86.584) Epoch: [70][3130/10010] Time 0.320 (0.328) Data 0.001 (0.001) Loss 1.3544 (1.3872) Prec@1 73.438 (67.840) Prec@5 86.719 (86.587) Epoch: [70][3140/10010] Time 0.338 (0.328) Data 0.001 (0.001) Loss 1.2294 (1.3872) Prec@1 68.750 (67.839) Prec@5 89.844 (86.587) Epoch: [70][3150/10010] Time 0.334 (0.328) Data 0.001 (0.001) Loss 1.4336 (1.3876) Prec@1 63.281 (67.834) Prec@5 86.719 (86.581) Epoch: [70][3160/10010] Time 0.324 (0.328) Data 0.001 (0.001) Loss 1.3881 (1.3878) Prec@1 72.656 (67.832) Prec@5 85.938 (86.575) Epoch: [70][3170/10010] Time 0.317 (0.328) Data 0.001 (0.001) Loss 1.3033 (1.3876) Prec@1 67.188 (67.833) Prec@5 87.500 (86.578) Epoch: [70][3180/10010] Time 0.319 (0.328) Data 0.001 (0.001) Loss 1.1922 (1.3877) Prec@1 70.312 (67.829) Prec@5 89.062 (86.578) Epoch: [70][3190/10010] Time 0.314 (0.328) Data 0.001 (0.001) Loss 1.3433 (1.3878) Prec@1 67.969 (67.829) Prec@5 88.281 (86.573) Epoch: [70][3200/10010] Time 0.325 (0.328) Data 0.001 (0.001) Loss 1.2912 (1.3877) Prec@1 74.219 (67.832) Prec@5 84.375 (86.568) Epoch: [70][3210/10010] Time 0.338 (0.328) Data 0.000 (0.001) Loss 1.5213 (1.3877) Prec@1 62.500 (67.831) Prec@5 83.594 (86.571) Epoch: [70][3220/10010] Time 0.316 (0.328) Data 0.001 (0.001) Loss 1.4071 (1.3879) Prec@1 64.844 (67.824) Prec@5 87.500 (86.570) Epoch: [70][3230/10010] Time 0.339 (0.328) Data 0.000 (0.001) Loss 1.3142 (1.3880) Prec@1 70.312 (67.824) Prec@5 86.719 (86.572) Epoch: [70][3240/10010] Time 0.318 (0.328) Data 0.001 (0.001) Loss 1.3345 (1.3883) Prec@1 65.625 (67.812) Prec@5 88.281 (86.565) Epoch: [70][3250/10010] Time 0.330 (0.328) Data 0.001 (0.001) Loss 1.1358 (1.3882) Prec@1 75.000 (67.812) Prec@5 89.844 (86.569) Epoch: [70][3260/10010] Time 0.313 (0.328) Data 0.001 (0.001) Loss 1.2934 (1.3881) Prec@1 69.531 (67.819) Prec@5 85.156 (86.569) Epoch: [70][3270/10010] Time 0.311 (0.328) Data 0.001 (0.001) Loss 1.4241 (1.3882) Prec@1 62.500 (67.818) Prec@5 89.844 (86.568) Epoch: [70][3280/10010] Time 0.329 (0.328) Data 0.000 (0.001) Loss 1.3975 (1.3882) Prec@1 65.625 (67.817) Prec@5 86.719 (86.569) Epoch: [70][3290/10010] Time 0.313 (0.328) Data 0.001 (0.001) Loss 1.2107 (1.3884) Prec@1 71.094 (67.816) Prec@5 89.062 (86.567) Epoch: [70][3300/10010] Time 0.332 (0.328) Data 0.001 (0.001) Loss 1.4326 (1.3883) Prec@1 64.844 (67.816) Prec@5 86.719 (86.566) Epoch: [70][3310/10010] Time 0.329 (0.328) Data 0.000 (0.001) Loss 1.4118 (1.3883) Prec@1 64.062 (67.812) Prec@5 87.500 (86.565) Epoch: [70][3320/10010] Time 0.320 (0.328) Data 0.000 (0.001) Loss 1.2638 (1.3886) Prec@1 71.094 (67.812) Prec@5 90.625 (86.560) Epoch: [70][3330/10010] Time 0.324 (0.328) Data 0.001 (0.001) Loss 1.1016 (1.3882) Prec@1 76.562 (67.820) Prec@5 91.406 (86.564) Epoch: [70][3340/10010] Time 0.313 (0.328) Data 0.001 (0.001) Loss 1.2232 (1.3882) Prec@1 71.094 (67.821) Prec@5 91.406 (86.564) Epoch: [70][3350/10010] Time 0.318 (0.328) Data 0.001 (0.001) Loss 1.5281 (1.3880) Prec@1 63.281 (67.823) Prec@5 83.594 (86.568) Epoch: [70][3360/10010] Time 0.321 (0.328) Data 0.000 (0.001) Loss 1.4849 (1.3882) Prec@1 63.281 (67.817) Prec@5 85.156 (86.564) Epoch: [70][3370/10010] Time 0.339 (0.328) Data 0.001 (0.001) Loss 1.7258 (1.3883) Prec@1 59.375 (67.815) Prec@5 83.594 (86.561) Epoch: [70][3380/10010] Time 0.328 (0.328) Data 0.001 (0.001) Loss 1.6359 (1.3886) Prec@1 57.031 (67.812) Prec@5 84.375 (86.558) Epoch: [70][3390/10010] Time 0.307 (0.328) Data 0.001 (0.001) Loss 1.4266 (1.3887) Prec@1 67.969 (67.808) Prec@5 88.281 (86.558) /data/vision/torralba/deepscene/lib/anaconda2/lib/python2.7/site-packages/PIL/TiffImagePlugin.py:692: UserWarning: Possibly corrupt EXIF data. Expecting to read 2555904 bytes but only got 0. Skipping tag 0 "Skipping tag %s" % (size, len(data), tag)) Epoch: [70][3400/10010] Time 0.336 (0.328) Data 0.000 (0.001) Loss 1.2128 (1.3885) Prec@1 71.875 (67.812) Prec@5 87.500 (86.559) Epoch: [70][3410/10010] Time 0.311 (0.328) Data 0.001 (0.001) Loss 1.3560 (1.3884) Prec@1 71.875 (67.812) Prec@5 85.156 (86.560) Epoch: [70][3420/10010] Time 0.313 (0.328) Data 0.001 (0.001) Loss 1.4669 (1.3885) Prec@1 63.281 (67.810) Prec@5 81.250 (86.557) Epoch: [70][3430/10010] Time 0.336 (0.328) Data 0.000 (0.001) Loss 1.2913 (1.3886) Prec@1 67.188 (67.807) Prec@5 87.500 (86.554) Epoch: [70][3440/10010] Time 0.340 (0.328) Data 0.000 (0.001) Loss 1.5226 (1.3886) Prec@1 66.406 (67.803) Prec@5 82.031 (86.553) Epoch: [70][3450/10010] Time 0.309 (0.328) Data 0.000 (0.001) Loss 1.1996 (1.3885) Prec@1 76.562 (67.807) Prec@5 89.062 (86.553) Epoch: [70][3460/10010] Time 0.322 (0.328) Data 0.000 (0.001) Loss 1.4473 (1.3885) Prec@1 66.406 (67.809) Prec@5 82.812 (86.553) Epoch: [70][3470/10010] Time 0.324 (0.328) Data 0.000 (0.001) Loss 1.5809 (1.3884) Prec@1 62.500 (67.806) Prec@5 82.031 (86.553) Epoch: [70][3480/10010] Time 0.321 (0.328) Data 0.000 (0.001) Loss 1.3261 (1.3883) Prec@1 67.969 (67.809) Prec@5 85.938 (86.555) Epoch: [70][3490/10010] Time 0.329 (0.328) Data 0.001 (0.001) Loss 1.4760 (1.3884) Prec@1 67.188 (67.810) Prec@5 84.375 (86.553) Epoch: [70][3500/10010] Time 0.333 (0.328) Data 0.001 (0.001) Loss 1.3640 (1.3885) Prec@1 71.094 (67.807) Prec@5 89.844 (86.551) Epoch: [70][3510/10010] Time 0.314 (0.328) Data 0.000 (0.001) Loss 1.2572 (1.3885) Prec@1 67.188 (67.804) Prec@5 87.500 (86.550) Epoch: [70][3520/10010] Time 0.311 (0.328) Data 0.001 (0.001) Loss 1.2028 (1.3887) Prec@1 69.531 (67.802) Prec@5 88.281 (86.546) Epoch: [70][3530/10010] Time 0.319 (0.328) Data 0.001 (0.001) Loss 1.5896 (1.3886) Prec@1 67.188 (67.806) Prec@5 85.938 (86.548) Epoch: [70][3540/10010] Time 0.336 (0.328) Data 0.001 (0.001) Loss 1.3675 (1.3884) Prec@1 67.188 (67.806) Prec@5 89.844 (86.551) Epoch: [70][3550/10010] Time 0.332 (0.328) Data 0.001 (0.001) Loss 1.3647 (1.3885) Prec@1 68.750 (67.806) Prec@5 85.156 (86.549) Epoch: [70][3560/10010] Time 0.335 (0.328) Data 0.001 (0.001) Loss 1.5341 (1.3885) Prec@1 66.406 (67.801) Prec@5 82.031 (86.551) Epoch: [70][3570/10010] Time 0.338 (0.328) Data 0.001 (0.001) Loss 1.4006 (1.3885) Prec@1 67.969 (67.804) Prec@5 87.500 (86.550) Epoch: [70][3580/10010] Time 0.313 (0.328) Data 0.001 (0.001) Loss 1.1970 (1.3884) Prec@1 67.969 (67.801) Prec@5 89.062 (86.553) Epoch: [70][3590/10010] Time 0.333 (0.328) Data 0.001 (0.001) Loss 1.0501 (1.3885) Prec@1 75.781 (67.801) Prec@5 90.625 (86.550) Epoch: [70][3600/10010] Time 0.339 (0.328) Data 0.001 (0.001) Loss 1.2304 (1.3884) Prec@1 71.094 (67.802) Prec@5 89.844 (86.551) Epoch: [70][3610/10010] Time 0.324 (0.328) Data 0.000 (0.001) Loss 1.4948 (1.3885) Prec@1 66.406 (67.800) Prec@5 84.375 (86.550) Epoch: [70][3620/10010] Time 0.338 (0.328) Data 0.000 (0.001) Loss 1.2451 (1.3887) Prec@1 72.656 (67.796) Prec@5 89.844 (86.547) Epoch: [70][3630/10010] Time 0.318 (0.328) Data 0.001 (0.001) Loss 1.3219 (1.3887) Prec@1 75.000 (67.798) Prec@5 88.281 (86.546) Epoch: [70][3640/10010] Time 0.326 (0.328) Data 0.000 (0.001) Loss 1.3627 (1.3885) Prec@1 69.531 (67.806) Prec@5 85.938 (86.549) Epoch: [70][3650/10010] Time 0.340 (0.328) Data 0.001 (0.001) Loss 1.5824 (1.3884) Prec@1 66.406 (67.809) Prec@5 86.719 (86.553) Epoch: [70][3660/10010] Time 0.339 (0.328) Data 0.000 (0.001) Loss 1.1911 (1.3882) Prec@1 71.875 (67.808) Prec@5 86.719 (86.555) Epoch: [70][3670/10010] Time 0.322 (0.328) Data 0.001 (0.001) Loss 1.1897 (1.3883) Prec@1 71.094 (67.806) Prec@5 89.062 (86.555) Epoch: [70][3680/10010] Time 0.322 (0.328) Data 0.000 (0.001) Loss 1.2399 (1.3881) Prec@1 68.750 (67.806) Prec@5 89.844 (86.556) Epoch: [70][3690/10010] Time 0.336 (0.328) Data 0.000 (0.001) Loss 1.1567 (1.3881) Prec@1 70.312 (67.809) Prec@5 90.625 (86.556) Epoch: [70][3700/10010] Time 0.339 (0.328) Data 0.000 (0.001) Loss 1.2950 (1.3883) Prec@1 71.875 (67.803) Prec@5 85.156 (86.552) Epoch: [70][3710/10010] Time 0.336 (0.328) Data 0.001 (0.001) Loss 1.4482 (1.3884) Prec@1 67.969 (67.802) Prec@5 87.500 (86.551) Epoch: [70][3720/10010] Time 0.315 (0.328) Data 0.001 (0.001) Loss 1.3962 (1.3884) Prec@1 66.406 (67.799) Prec@5 85.938 (86.551) Epoch: [70][3730/10010] Time 0.336 (0.328) Data 0.001 (0.001) Loss 1.0571 (1.3884) Prec@1 76.562 (67.799) Prec@5 89.062 (86.552) Epoch: [70][3740/10010] Time 0.321 (0.328) Data 0.001 (0.001) Loss 1.4579 (1.3885) Prec@1 67.969 (67.798) Prec@5 82.031 (86.551) Epoch: [70][3750/10010] Time 0.332 (0.328) Data 0.001 (0.001) Loss 1.2964 (1.3884) Prec@1 73.438 (67.802) Prec@5 88.281 (86.551) Epoch: [70][3760/10010] Time 0.321 (0.328) Data 0.001 (0.001) Loss 1.3671 (1.3884) Prec@1 66.406 (67.800) Prec@5 88.281 (86.552) Epoch: [70][3770/10010] Time 0.326 (0.328) Data 0.001 (0.001) Loss 1.7190 (1.3884) Prec@1 61.719 (67.802) Prec@5 82.812 (86.553) Epoch: [70][3780/10010] Time 0.327 (0.328) Data 0.000 (0.001) Loss 1.4967 (1.3882) Prec@1 68.750 (67.804) Prec@5 84.375 (86.554) Epoch: [70][3790/10010] Time 0.343 (0.328) Data 0.000 (0.001) Loss 1.0896 (1.3883) Prec@1 77.344 (67.801) Prec@5 89.844 (86.553) Epoch: [70][3800/10010] Time 0.322 (0.328) Data 0.001 (0.001) Loss 1.5508 (1.3884) Prec@1 64.844 (67.799) Prec@5 82.031 (86.552) Epoch: [70][3810/10010] Time 0.322 (0.328) Data 0.001 (0.001) Loss 1.3695 (1.3885) Prec@1 67.188 (67.799) Prec@5 89.062 (86.550) Epoch: [70][3820/10010] Time 0.330 (0.328) Data 0.001 (0.001) Loss 1.2949 (1.3883) Prec@1 65.625 (67.801) Prec@5 88.281 (86.550) Epoch: [70][3830/10010] Time 0.327 (0.328) Data 0.001 (0.001) Loss 1.6100 (1.3885) Prec@1 67.969 (67.800) Prec@5 81.250 (86.547) Epoch: [70][3840/10010] Time 0.316 (0.328) Data 0.001 (0.001) Loss 1.6854 (1.3885) Prec@1 60.156 (67.800) Prec@5 81.250 (86.544) Epoch: [70][3850/10010] Time 0.316 (0.328) Data 0.000 (0.001) Loss 1.1764 (1.3882) Prec@1 72.656 (67.805) Prec@5 88.281 (86.546) Epoch: [70][3860/10010] Time 0.309 (0.328) Data 0.001 (0.001) Loss 1.3191 (1.3882) Prec@1 71.875 (67.808) Prec@5 86.719 (86.547) Epoch: [70][3870/10010] Time 0.333 (0.328) Data 0.001 (0.001) Loss 1.5701 (1.3881) Prec@1 62.500 (67.810) Prec@5 83.594 (86.549) Epoch: [70][3880/10010] Time 0.333 (0.328) Data 0.000 (0.001) Loss 1.1255 (1.3879) Prec@1 71.875 (67.815) Prec@5 91.406 (86.552) Epoch: [70][3890/10010] Time 0.332 (0.328) Data 0.001 (0.001) Loss 1.4093 (1.3880) Prec@1 65.625 (67.814) Prec@5 85.156 (86.551) Epoch: [70][3900/10010] Time 0.334 (0.328) Data 0.000 (0.001) Loss 1.3566 (1.3878) Prec@1 67.188 (67.819) Prec@5 89.062 (86.555) Epoch: [70][3910/10010] Time 0.323 (0.328) Data 0.001 (0.001) Loss 1.2340 (1.3879) Prec@1 72.656 (67.816) Prec@5 87.500 (86.555) Epoch: [70][3920/10010] Time 0.323 (0.328) Data 0.001 (0.001) Loss 1.4218 (1.3880) Prec@1 67.188 (67.812) Prec@5 85.938 (86.553) Epoch: [70][3930/10010] Time 0.330 (0.328) Data 0.001 (0.001) Loss 1.3539 (1.3879) Prec@1 67.969 (67.819) Prec@5 89.844 (86.554) Epoch: [70][3940/10010] Time 0.339 (0.328) Data 0.000 (0.001) Loss 1.5310 (1.3881) Prec@1 67.188 (67.816) Prec@5 84.375 (86.553) Epoch: [70][3950/10010] Time 0.325 (0.328) Data 0.000 (0.001) Loss 1.1763 (1.3880) Prec@1 73.438 (67.819) Prec@5 90.625 (86.554) Epoch: [70][3960/10010] Time 0.339 (0.328) Data 0.000 (0.001) Loss 1.7063 (1.3881) Prec@1 57.812 (67.818) Prec@5 83.594 (86.554) Epoch: [70][3970/10010] Time 0.323 (0.328) Data 0.001 (0.001) Loss 1.1501 (1.3882) Prec@1 71.875 (67.817) Prec@5 91.406 (86.551) Epoch: [70][3980/10010] Time 0.314 (0.328) Data 0.001 (0.001) Loss 1.2538 (1.3881) Prec@1 71.094 (67.819) Prec@5 88.281 (86.553) Epoch: [70][3990/10010] Time 0.330 (0.328) Data 0.001 (0.001) Loss 1.4258 (1.3879) Prec@1 67.188 (67.822) Prec@5 87.500 (86.556) Epoch: [70][4000/10010] Time 0.339 (0.328) Data 0.001 (0.001) Loss 1.2774 (1.3879) Prec@1 67.969 (67.823) Prec@5 87.500 (86.555) Epoch: [70][4010/10010] Time 0.329 (0.328) Data 0.000 (0.001) Loss 1.3819 (1.3878) Prec@1 67.969 (67.821) Prec@5 84.375 (86.555) Epoch: [70][4020/10010] Time 0.320 (0.328) Data 0.001 (0.001) Loss 1.4305 (1.3878) Prec@1 70.312 (67.823) Prec@5 83.594 (86.556) Epoch: [70][4030/10010] Time 0.316 (0.328) Data 0.000 (0.001) Loss 1.3596 (1.3876) Prec@1 66.406 (67.824) Prec@5 88.281 (86.558) Epoch: [70][4040/10010] Time 0.323 (0.328) Data 0.001 (0.001) Loss 1.4275 (1.3874) Prec@1 64.062 (67.830) Prec@5 82.812 (86.560) Epoch: [70][4050/10010] Time 0.321 (0.328) Data 0.000 (0.001) Loss 1.1263 (1.3874) Prec@1 70.312 (67.830) Prec@5 89.844 (86.560) Epoch: [70][4060/10010] Time 0.341 (0.328) Data 0.000 (0.001) Loss 1.3239 (1.3872) Prec@1 69.531 (67.832) Prec@5 85.938 (86.564) Epoch: [70][4070/10010] Time 0.321 (0.328) Data 0.000 (0.001) Loss 1.1733 (1.3871) Prec@1 69.531 (67.835) Prec@5 87.500 (86.563) Epoch: [70][4080/10010] Time 0.333 (0.328) Data 0.001 (0.001) Loss 1.8314 (1.3873) Prec@1 61.719 (67.829) Prec@5 81.250 (86.562) Epoch: [70][4090/10010] Time 0.322 (0.328) Data 0.000 (0.001) Loss 1.4052 (1.3874) Prec@1 64.062 (67.822) Prec@5 89.062 (86.562) Epoch: [70][4100/10010] Time 0.320 (0.328) Data 0.000 (0.001) Loss 1.1163 (1.3873) Prec@1 74.219 (67.822) Prec@5 89.062 (86.564) Epoch: [70][4110/10010] Time 0.309 (0.328) Data 0.001 (0.001) Loss 1.8362 (1.3873) Prec@1 63.281 (67.821) Prec@5 79.688 (86.560) Epoch: [70][4120/10010] Time 0.316 (0.328) Data 0.001 (0.001) Loss 1.1889 (1.3874) Prec@1 72.656 (67.820) Prec@5 92.188 (86.559) Epoch: [70][4130/10010] Time 0.332 (0.328) Data 0.001 (0.001) Loss 1.3087 (1.3874) Prec@1 72.656 (67.818) Prec@5 90.625 (86.557) Epoch: [70][4140/10010] Time 0.339 (0.328) Data 0.001 (0.001) Loss 1.4272 (1.3874) Prec@1 65.625 (67.817) Prec@5 85.938 (86.560) Epoch: [70][4150/10010] Time 0.325 (0.328) Data 0.000 (0.001) Loss 1.3713 (1.3873) Prec@1 69.531 (67.820) Prec@5 85.938 (86.558) Epoch: [70][4160/10010] Time 0.340 (0.328) Data 0.000 (0.001) Loss 1.1494 (1.3872) Prec@1 70.312 (67.822) Prec@5 88.281 (86.559) Epoch: [70][4170/10010] Time 0.319 (0.328) Data 0.001 (0.001) Loss 1.1245 (1.3870) Prec@1 74.219 (67.825) Prec@5 89.062 (86.563) Epoch: [70][4180/10010] Time 0.321 (0.328) Data 0.001 (0.001) Loss 1.7027 (1.3870) Prec@1 59.375 (67.826) Prec@5 79.688 (86.562) Epoch: [70][4190/10010] Time 0.336 (0.328) Data 0.000 (0.001) Loss 1.2874 (1.3870) Prec@1 73.438 (67.825) Prec@5 92.188 (86.563) Epoch: [70][4200/10010] Time 0.311 (0.328) Data 0.001 (0.001) Loss 1.5910 (1.3872) Prec@1 65.625 (67.817) Prec@5 82.031 (86.559) Epoch: [70][4210/10010] Time 0.331 (0.328) Data 0.001 (0.001) Loss 1.1506 (1.3873) Prec@1 72.656 (67.818) Prec@5 90.625 (86.554) Epoch: [70][4220/10010] Time 0.334 (0.328) Data 0.001 (0.001) Loss 1.4216 (1.3872) Prec@1 71.094 (67.822) Prec@5 85.938 (86.556) Epoch: [70][4230/10010] Time 0.318 (0.328) Data 0.000 (0.001) Loss 1.2582 (1.3872) Prec@1 71.875 (67.824) Prec@5 87.500 (86.559) Epoch: [70][4240/10010] Time 0.336 (0.328) Data 0.001 (0.001) Loss 1.2601 (1.3873) Prec@1 70.312 (67.820) Prec@5 87.500 (86.556) Epoch: [70][4250/10010] Time 0.309 (0.328) Data 0.001 (0.001) Loss 1.1766 (1.3871) Prec@1 74.219 (67.823) Prec@5 89.844 (86.558) Epoch: [70][4260/10010] Time 0.323 (0.328) Data 0.001 (0.001) Loss 1.4343 (1.3872) Prec@1 67.969 (67.822) Prec@5 87.500 (86.559) Epoch: [70][4270/10010] Time 0.331 (0.328) Data 0.000 (0.001) Loss 1.5431 (1.3873) Prec@1 67.969 (67.821) Prec@5 84.375 (86.554) Epoch: [70][4280/10010] Time 0.325 (0.328) Data 0.001 (0.001) Loss 1.4370 (1.3873) Prec@1 68.750 (67.821) Prec@5 85.938 (86.554) Epoch: [70][4290/10010] Time 0.341 (0.328) Data 0.000 (0.001) Loss 1.2496 (1.3872) Prec@1 71.875 (67.823) Prec@5 87.500 (86.557) Epoch: [70][4300/10010] Time 0.327 (0.328) Data 0.000 (0.001) Loss 1.1270 (1.3872) Prec@1 73.438 (67.824) Prec@5 88.281 (86.559) Epoch: [70][4310/10010] Time 0.326 (0.328) Data 0.001 (0.001) Loss 1.7052 (1.3874) Prec@1 65.625 (67.820) Prec@5 81.250 (86.555) Epoch: [70][4320/10010] Time 0.337 (0.328) Data 0.000 (0.001) Loss 1.5152 (1.3874) Prec@1 66.406 (67.814) Prec@5 85.938 (86.555) Epoch: [70][4330/10010] Time 0.317 (0.328) Data 0.001 (0.001) Loss 1.2923 (1.3875) Prec@1 68.750 (67.811) Prec@5 89.062 (86.553) Epoch: [70][4340/10010] Time 0.335 (0.328) Data 0.000 (0.001) Loss 1.5691 (1.3876) Prec@1 67.188 (67.810) Prec@5 85.156 (86.551) Epoch: [70][4350/10010] Time 0.336 (0.328) Data 0.000 (0.001) Loss 1.4587 (1.3877) Prec@1 68.750 (67.813) Prec@5 85.938 (86.551) Epoch: [70][4360/10010] Time 0.329 (0.328) Data 0.000 (0.001) Loss 1.5372 (1.3875) Prec@1 61.719 (67.817) Prec@5 82.031 (86.550) Epoch: [70][4370/10010] Time 0.325 (0.328) Data 0.001 (0.001) Loss 1.1703 (1.3874) Prec@1 71.094 (67.823) Prec@5 90.625 (86.550) Epoch: [70][4380/10010] Time 0.325 (0.328) Data 0.000 (0.001) Loss 1.7060 (1.3874) Prec@1 66.406 (67.825) Prec@5 83.594 (86.551) Epoch: [70][4390/10010] Time 0.323 (0.328) Data 0.000 (0.001) Loss 1.2691 (1.3873) Prec@1 70.312 (67.822) Prec@5 89.062 (86.552) Epoch: [70][4400/10010] Time 0.322 (0.328) Data 0.001 (0.001) Loss 1.4398 (1.3872) Prec@1 66.406 (67.825) Prec@5 84.375 (86.555) Epoch: [70][4410/10010] Time 0.314 (0.328) Data 0.001 (0.001) Loss 1.6704 (1.3875) Prec@1 60.938 (67.818) Prec@5 83.594 (86.550) Epoch: [70][4420/10010] Time 0.316 (0.328) Data 0.001 (0.001) Loss 1.1164 (1.3874) Prec@1 71.875 (67.819) Prec@5 85.938 (86.548) Epoch: [70][4430/10010] Time 0.319 (0.328) Data 0.001 (0.001) Loss 1.2253 (1.3874) Prec@1 73.438 (67.816) Prec@5 86.719 (86.548) Epoch: [70][4440/10010] Time 0.341 (0.328) Data 0.001 (0.001) Loss 1.2793 (1.3874) Prec@1 68.750 (67.814) Prec@5 85.156 (86.548) Epoch: [70][4450/10010] Time 0.336 (0.328) Data 0.001 (0.001) Loss 1.5575 (1.3874) Prec@1 63.281 (67.812) Prec@5 83.594 (86.547) Epoch: [70][4460/10010] Time 0.323 (0.328) Data 0.001 (0.001) Loss 1.2706 (1.3876) Prec@1 70.312 (67.807) Prec@5 87.500 (86.548) Epoch: [70][4470/10010] Time 0.321 (0.328) Data 0.000 (0.001) Loss 1.2045 (1.3877) Prec@1 71.875 (67.803) Prec@5 89.844 (86.548) Epoch: [70][4480/10010] Time 0.322 (0.328) Data 0.000 (0.001) Loss 1.4648 (1.3879) Prec@1 64.844 (67.796) Prec@5 81.250 (86.544) Epoch: [70][4490/10010] Time 0.330 (0.328) Data 0.001 (0.001) Loss 1.3554 (1.3877) Prec@1 71.094 (67.802) Prec@5 88.281 (86.546) Epoch: [70][4500/10010] Time 0.330 (0.328) Data 0.000 (0.001) Loss 1.5443 (1.3880) Prec@1 66.406 (67.795) Prec@5 83.594 (86.542) Epoch: [70][4510/10010] Time 0.333 (0.328) Data 0.001 (0.001) Loss 1.4977 (1.3881) Prec@1 62.500 (67.795) Prec@5 87.500 (86.539) Epoch: [70][4520/10010] Time 0.319 (0.328) Data 0.001 (0.001) Loss 1.1994 (1.3882) Prec@1 71.875 (67.793) Prec@5 90.625 (86.539) Epoch: [70][4530/10010] Time 0.317 (0.328) Data 0.001 (0.001) Loss 1.5674 (1.3881) Prec@1 68.750 (67.796) Prec@5 83.594 (86.540) Epoch: [70][4540/10010] Time 0.326 (0.328) Data 0.001 (0.001) Loss 1.5477 (1.3884) Prec@1 60.938 (67.787) Prec@5 82.031 (86.536) Epoch: [70][4550/10010] Time 0.316 (0.328) Data 0.001 (0.001) Loss 1.7250 (1.3887) Prec@1 58.594 (67.784) Prec@5 78.906 (86.532) Epoch: [70][4560/10010] Time 0.340 (0.328) Data 0.001 (0.001) Loss 1.4740 (1.3886) Prec@1 67.969 (67.785) Prec@5 85.156 (86.533) Epoch: [70][4570/10010] Time 0.316 (0.328) Data 0.001 (0.001) Loss 1.3689 (1.3886) Prec@1 70.312 (67.786) Prec@5 85.156 (86.531) Epoch: [70][4580/10010] Time 0.326 (0.328) Data 0.000 (0.001) Loss 1.7716 (1.3885) Prec@1 64.062 (67.788) Prec@5 79.688 (86.533) Epoch: [70][4590/10010] Time 0.328 (0.328) Data 0.001 (0.001) Loss 1.2798 (1.3884) Prec@1 72.656 (67.789) Prec@5 87.500 (86.534) Epoch: [70][4600/10010] Time 0.326 (0.328) Data 0.001 (0.001) Loss 1.5076 (1.3884) Prec@1 61.719 (67.786) Prec@5 86.719 (86.534) Epoch: [70][4610/10010] Time 0.328 (0.328) Data 0.001 (0.001) Loss 1.2943 (1.3883) Prec@1 74.219 (67.791) Prec@5 90.625 (86.536) /data/vision/torralba/deepscene/lib/anaconda2/lib/python2.7/site-packages/PIL/TiffImagePlugin.py:709: UserWarning: Corrupt EXIF data. Expecting to read 4 bytes but only got 0. warnings.warn(str(msg)) Epoch: [70][4620/10010] Time 0.316 (0.328) Data 0.001 (0.001) Loss 1.4163 (1.3883) Prec@1 68.750 (67.791) Prec@5 85.156 (86.534) Epoch: [70][4630/10010] Time 0.315 (0.328) Data 0.001 (0.001) Loss 1.5558 (1.3886) Prec@1 61.719 (67.787) Prec@5 85.156 (86.532) Epoch: [70][4640/10010] Time 0.324 (0.328) Data 0.001 (0.001) Loss 1.6725 (1.3887) Prec@1 63.281 (67.784) Prec@5 86.719 (86.532) Epoch: [70][4650/10010] Time 0.330 (0.328) Data 0.000 (0.001) Loss 1.2456 (1.3886) Prec@1 75.000 (67.786) Prec@5 90.625 (86.535) Epoch: [70][4660/10010] Time 0.335 (0.328) Data 0.000 (0.001) Loss 1.3510 (1.3887) Prec@1 70.312 (67.786) Prec@5 86.719 (86.536) Epoch: [70][4670/10010] Time 0.318 (0.328) Data 0.001 (0.001) Loss 1.1809 (1.3885) Prec@1 71.875 (67.789) Prec@5 89.062 (86.539) Epoch: [70][4680/10010] Time 0.338 (0.328) Data 0.000 (0.001) Loss 1.4722 (1.3886) Prec@1 67.969 (67.790) Prec@5 83.594 (86.538) Epoch: [70][4690/10010] Time 0.331 (0.328) Data 0.000 (0.001) Loss 1.4020 (1.3886) Prec@1 71.094 (67.788) Prec@5 87.500 (86.536) Epoch: [70][4700/10010] Time 0.337 (0.328) Data 0.001 (0.001) Loss 1.5658 (1.3887) Prec@1 64.062 (67.787) Prec@5 83.594 (86.535) Epoch: [70][4710/10010] Time 0.327 (0.328) Data 0.001 (0.001) Loss 1.3924 (1.3888) Prec@1 71.094 (67.784) Prec@5 84.375 (86.532) Epoch: [70][4720/10010] Time 0.335 (0.328) Data 0.001 (0.001) Loss 1.4563 (1.3888) Prec@1 64.844 (67.785) Prec@5 87.500 (86.534) Epoch: [70][4730/10010] Time 0.332 (0.328) Data 0.001 (0.001) Loss 1.2385 (1.3887) Prec@1 68.750 (67.785) Prec@5 86.719 (86.535) Epoch: [70][4740/10010] Time 0.314 (0.328) Data 0.000 (0.001) Loss 1.4261 (1.3889) Prec@1 69.531 (67.783) Prec@5 86.719 (86.532) Epoch: [70][4750/10010] Time 0.334 (0.328) Data 0.000 (0.001) Loss 1.1296 (1.3887) Prec@1 74.219 (67.784) Prec@5 88.281 (86.534) Epoch: [70][4760/10010] Time 0.318 (0.328) Data 0.001 (0.001) Loss 1.3352 (1.3885) Prec@1 67.188 (67.788) Prec@5 86.719 (86.535) Epoch: [70][4770/10010] Time 0.337 (0.328) Data 0.001 (0.001) Loss 1.5084 (1.3886) Prec@1 67.188 (67.786) Prec@5 83.594 (86.532) Epoch: [70][4780/10010] Time 0.326 (0.328) Data 0.001 (0.001) Loss 1.6057 (1.3888) Prec@1 61.719 (67.780) Prec@5 85.156 (86.531) Epoch: [70][4790/10010] Time 0.334 (0.328) Data 0.001 (0.001) Loss 1.1576 (1.3886) Prec@1 76.562 (67.782) Prec@5 90.625 (86.534) Epoch: [70][4800/10010] Time 0.311 (0.328) Data 0.001 (0.001) Loss 1.5270 (1.3886) Prec@1 67.969 (67.783) Prec@5 82.812 (86.533) Epoch: [70][4810/10010] Time 0.315 (0.328) Data 0.000 (0.001) Loss 1.1153 (1.3884) Prec@1 67.188 (67.789) Prec@5 89.844 (86.535) Epoch: [70][4820/10010] Time 0.325 (0.328) Data 0.001 (0.001) Loss 1.4559 (1.3886) Prec@1 68.750 (67.789) Prec@5 83.594 (86.532) Epoch: [70][4830/10010] Time 0.320 (0.328) Data 0.000 (0.001) Loss 1.0358 (1.3886) Prec@1 71.875 (67.787) Prec@5 90.625 (86.532) Epoch: [70][4840/10010] Time 0.322 (0.328) Data 0.001 (0.001) Loss 1.3982 (1.3887) Prec@1 67.969 (67.785) Prec@5 87.500 (86.532) Epoch: [70][4850/10010] Time 0.325 (0.328) Data 0.001 (0.001) Loss 1.2845 (1.3886) Prec@1 68.750 (67.784) Prec@5 89.062 (86.532) Epoch: [70][4860/10010] Time 0.322 (0.328) Data 0.001 (0.001) Loss 1.1578 (1.3885) Prec@1 73.438 (67.788) Prec@5 89.062 (86.533) Epoch: [70][4870/10010] Time 0.327 (0.328) Data 0.001 (0.001) Loss 1.6832 (1.3885) Prec@1 65.625 (67.792) Prec@5 80.469 (86.532) Epoch: [70][4880/10010] Time 0.340 (0.328) Data 0.001 (0.001) Loss 1.4965 (1.3886) Prec@1 64.844 (67.789) Prec@5 86.719 (86.531) Epoch: [70][4890/10010] Time 0.334 (0.328) Data 0.000 (0.001) Loss 1.4951 (1.3886) Prec@1 63.281 (67.790) Prec@5 86.719 (86.530) Epoch: [70][4900/10010] Time 0.329 (0.328) Data 0.001 (0.001) Loss 1.2814 (1.3886) Prec@1 71.094 (67.787) Prec@5 87.500 (86.530) Epoch: [70][4910/10010] Time 0.331 (0.328) Data 0.001 (0.001) Loss 1.5680 (1.3887) Prec@1 64.062 (67.785) Prec@5 83.594 (86.528) Epoch: [70][4920/10010] Time 0.321 (0.328) Data 0.001 (0.001) Loss 1.4692 (1.3886) Prec@1 64.844 (67.787) Prec@5 85.938 (86.527) Epoch: [70][4930/10010] Time 0.337 (0.328) Data 0.001 (0.001) Loss 1.4313 (1.3887) Prec@1 67.969 (67.787) Prec@5 85.938 (86.526) Epoch: [70][4940/10010] Time 0.321 (0.328) Data 0.000 (0.001) Loss 1.4219 (1.3884) Prec@1 66.406 (67.792) Prec@5 86.719 (86.531) Epoch: [70][4950/10010] Time 0.332 (0.328) Data 0.001 (0.001) Loss 1.3516 (1.3883) Prec@1 63.281 (67.792) Prec@5 85.156 (86.533) Epoch: [70][4960/10010] Time 0.335 (0.328) Data 0.001 (0.001) Loss 1.6770 (1.3885) Prec@1 62.500 (67.788) Prec@5 82.031 (86.528) Epoch: [70][4970/10010] Time 0.325 (0.328) Data 0.000 (0.001) Loss 1.4087 (1.3884) Prec@1 64.062 (67.791) Prec@5 87.500 (86.529) Epoch: [70][4980/10010] Time 0.334 (0.328) Data 0.001 (0.001) Loss 1.7427 (1.3885) Prec@1 65.625 (67.789) Prec@5 78.906 (86.526) Epoch: [70][4990/10010] Time 0.328 (0.328) Data 0.000 (0.001) Loss 1.6948 (1.3885) Prec@1 57.812 (67.788) Prec@5 85.938 (86.528) Epoch: [70][5000/10010] Time 0.331 (0.328) Data 0.000 (0.001) Loss 1.2883 (1.3885) Prec@1 72.656 (67.788) Prec@5 89.844 (86.529) Epoch: [70][5010/10010] Time 0.326 (0.328) Data 0.000 (0.001) Loss 1.2747 (1.3884) Prec@1 70.312 (67.791) Prec@5 86.719 (86.530) Epoch: [70][5020/10010] Time 0.329 (0.328) Data 0.001 (0.001) Loss 1.2192 (1.3884) Prec@1 72.656 (67.792) Prec@5 87.500 (86.527) Epoch: [70][5030/10010] Time 0.332 (0.328) Data 0.001 (0.001) Loss 1.3936 (1.3883) Prec@1 67.188 (67.793) Prec@5 82.812 (86.529) Epoch: [70][5040/10010] Time 0.319 (0.328) Data 0.001 (0.001) Loss 1.4597 (1.3883) Prec@1 64.844 (67.793) Prec@5 85.938 (86.531) Epoch: [70][5050/10010] Time 0.336 (0.328) Data 0.001 (0.001) Loss 1.4410 (1.3883) Prec@1 66.406 (67.791) Prec@5 86.719 (86.531) Epoch: [70][5060/10010] Time 0.322 (0.328) Data 0.001 (0.001) Loss 1.4623 (1.3883) Prec@1 62.500 (67.792) Prec@5 85.938 (86.531) Epoch: [70][5070/10010] Time 0.328 (0.328) Data 0.001 (0.001) Loss 2.0590 (1.3885) Prec@1 54.688 (67.791) Prec@5 78.906 (86.528) Epoch: [70][5080/10010] Time 0.344 (0.328) Data 0.000 (0.001) Loss 1.2768 (1.3884) Prec@1 67.188 (67.792) Prec@5 87.500 (86.530) Epoch: [70][5090/10010] Time 0.333 (0.328) Data 0.000 (0.001) Loss 1.3499 (1.3885) Prec@1 64.062 (67.792) Prec@5 87.500 (86.529) Epoch: [70][5100/10010] Time 0.318 (0.328) Data 0.000 (0.001) Loss 1.1902 (1.3883) Prec@1 74.219 (67.798) Prec@5 89.062 (86.529) Epoch: [70][5110/10010] Time 0.323 (0.328) Data 0.000 (0.001) Loss 1.4080 (1.3883) Prec@1 70.312 (67.798) Prec@5 85.938 (86.528) Epoch: [70][5120/10010] Time 0.313 (0.328) Data 0.001 (0.001) Loss 1.2379 (1.3883) Prec@1 69.531 (67.799) Prec@5 89.062 (86.528) Epoch: [70][5130/10010] Time 0.325 (0.328) Data 0.001 (0.001) Loss 1.2281 (1.3883) Prec@1 67.188 (67.796) Prec@5 90.625 (86.526) Epoch: [70][5140/10010] Time 0.313 (0.328) Data 0.000 (0.001) Loss 1.2073 (1.3881) Prec@1 71.875 (67.799) Prec@5 88.281 (86.531) Epoch: [70][5150/10010] Time 0.330 (0.328) Data 0.001 (0.001) Loss 1.4635 (1.3880) Prec@1 67.188 (67.798) Prec@5 83.594 (86.532) Epoch: [70][5160/10010] Time 0.330 (0.328) Data 0.000 (0.001) Loss 1.2906 (1.3882) Prec@1 68.750 (67.794) Prec@5 88.281 (86.533) Epoch: [70][5170/10010] Time 0.324 (0.328) Data 0.000 (0.001) Loss 1.2692 (1.3880) Prec@1 71.094 (67.800) Prec@5 85.938 (86.533) Epoch: [70][5180/10010] Time 0.312 (0.328) Data 0.001 (0.001) Loss 1.5050 (1.3878) Prec@1 64.844 (67.803) Prec@5 83.594 (86.534) Epoch: [70][5190/10010] Time 0.336 (0.328) Data 0.001 (0.001) Loss 1.3088 (1.3879) Prec@1 69.531 (67.805) Prec@5 89.844 (86.533) Epoch: [70][5200/10010] Time 0.341 (0.328) Data 0.001 (0.001) Loss 1.6184 (1.3879) Prec@1 68.750 (67.807) Prec@5 82.812 (86.532) Epoch: [70][5210/10010] Time 0.328 (0.328) Data 0.000 (0.001) Loss 1.1304 (1.3878) Prec@1 70.312 (67.808) Prec@5 87.500 (86.532) Epoch: [70][5220/10010] Time 0.334 (0.328) Data 0.001 (0.001) Loss 1.4090 (1.3880) Prec@1 65.625 (67.806) Prec@5 84.375 (86.528) /data/vision/torralba/deepscene/lib/anaconda2/lib/python2.7/site-packages/PIL/TiffImagePlugin.py:692: UserWarning: Possibly corrupt EXIF data. Expecting to read 2555904 bytes but only got 0. Skipping tag 0 "Skipping tag %s" % (size, len(data), tag)) Epoch: [70][5230/10010] Time 0.313 (0.328) Data 0.001 (0.001) Loss 1.6759 (1.3882) Prec@1 64.844 (67.801) Prec@5 83.594 (86.525) Epoch: [70][5240/10010] Time 0.332 (0.328) Data 0.000 (0.001) Loss 1.2668 (1.3883) Prec@1 71.094 (67.802) Prec@5 88.281 (86.524) Epoch: [70][5250/10010] Time 0.337 (0.328) Data 0.000 (0.001) Loss 1.5746 (1.3883) Prec@1 62.500 (67.800) Prec@5 82.031 (86.522) Epoch: [70][5260/10010] Time 0.321 (0.328) Data 0.001 (0.001) Loss 1.6311 (1.3884) Prec@1 64.844 (67.801) Prec@5 78.906 (86.520) Epoch: [70][5270/10010] Time 0.336 (0.328) Data 0.001 (0.001) Loss 1.3471 (1.3883) Prec@1 69.531 (67.806) Prec@5 85.156 (86.520) Epoch: [70][5280/10010] Time 0.315 (0.328) Data 0.000 (0.001) Loss 1.5951 (1.3884) Prec@1 64.062 (67.804) Prec@5 85.938 (86.520) Epoch: [70][5290/10010] Time 0.335 (0.328) Data 0.001 (0.001) Loss 1.2766 (1.3884) Prec@1 63.281 (67.802) Prec@5 90.625 (86.518) Epoch: [70][5300/10010] Time 0.335 (0.328) Data 0.001 (0.001) Loss 1.2856 (1.3883) Prec@1 69.531 (67.805) Prec@5 89.062 (86.519) Epoch: [70][5310/10010] Time 0.327 (0.328) Data 0.001 (0.001) Loss 1.0393 (1.3883) Prec@1 71.875 (67.803) Prec@5 92.188 (86.518) Epoch: [70][5320/10010] Time 0.321 (0.328) Data 0.001 (0.001) Loss 1.3018 (1.3883) Prec@1 71.094 (67.806) Prec@5 88.281 (86.517) Epoch: [70][5330/10010] Time 0.325 (0.328) Data 0.000 (0.001) Loss 1.4028 (1.3883) Prec@1 62.500 (67.804) Prec@5 86.719 (86.516) Epoch: [70][5340/10010] Time 0.318 (0.328) Data 0.000 (0.001) Loss 1.4026 (1.3884) Prec@1 70.312 (67.803) Prec@5 85.938 (86.516) Epoch: [70][5350/10010] Time 0.317 (0.328) Data 0.001 (0.001) Loss 1.3784 (1.3882) Prec@1 67.188 (67.806) Prec@5 84.375 (86.518) Epoch: [70][5360/10010] Time 0.324 (0.328) Data 0.001 (0.001) Loss 1.2957 (1.3883) Prec@1 71.875 (67.807) Prec@5 89.062 (86.516) Epoch: [70][5370/10010] Time 0.312 (0.328) Data 0.001 (0.001) Loss 1.6264 (1.3884) Prec@1 64.062 (67.807) Prec@5 81.250 (86.514) Epoch: [70][5380/10010] Time 0.318 (0.328) Data 0.000 (0.001) Loss 1.2420 (1.3883) Prec@1 67.188 (67.807) Prec@5 89.062 (86.515) Epoch: [70][5390/10010] Time 0.331 (0.328) Data 0.001 (0.001) Loss 1.6828 (1.3883) Prec@1 66.406 (67.808) Prec@5 83.594 (86.514) Epoch: [70][5400/10010] Time 0.336 (0.328) Data 0.001 (0.001) Loss 1.4235 (1.3885) Prec@1 67.188 (67.805) Prec@5 85.938 (86.509) Epoch: [70][5410/10010] Time 0.330 (0.328) Data 0.001 (0.001) Loss 1.5412 (1.3885) Prec@1 65.625 (67.804) Prec@5 82.812 (86.509) Epoch: [70][5420/10010] Time 0.317 (0.328) Data 0.001 (0.001) Loss 1.4247 (1.3884) Prec@1 69.531 (67.805) Prec@5 87.500 (86.511) Epoch: [70][5430/10010] Time 0.316 (0.328) Data 0.000 (0.001) Loss 1.3275 (1.3883) Prec@1 68.750 (67.805) Prec@5 88.281 (86.512) Epoch: [70][5440/10010] Time 0.315 (0.328) Data 0.001 (0.001) Loss 1.4988 (1.3884) Prec@1 64.844 (67.801) Prec@5 83.594 (86.510) /data/vision/torralba/deepscene/lib/anaconda2/lib/python2.7/site-packages/PIL/TiffImagePlugin.py:692: UserWarning: Possibly corrupt EXIF data. Expecting to read 2555904 bytes but only got 0. Skipping tag 0 "Skipping tag %s" % (size, len(data), tag)) /data/vision/torralba/deepscene/lib/anaconda2/lib/python2.7/site-packages/PIL/TiffImagePlugin.py:692: UserWarning: Possibly corrupt EXIF data. Expecting to read 2555904 bytes but only got 0. Skipping tag 0 "Skipping tag %s" % (size, len(data), tag)) Epoch: [70][5450/10010] Time 0.330 (0.328) Data 0.001 (0.001) Loss 1.1766 (1.3883) Prec@1 67.969 (67.803) Prec@5 86.719 (86.511) Epoch: [70][5460/10010] Time 0.315 (0.328) Data 0.001 (0.001) Loss 1.2723 (1.3882) Prec@1 74.219 (67.805) Prec@5 89.062 (86.510) Epoch: [70][5470/10010] Time 0.314 (0.328) Data 0.000 (0.001) Loss 1.2679 (1.3882) Prec@1 71.094 (67.806) Prec@5 89.062 (86.510) Epoch: [70][5480/10010] Time 0.333 (0.328) Data 0.001 (0.001) Loss 1.1317 (1.3881) Prec@1 74.219 (67.804) Prec@5 89.844 (86.511) Epoch: [70][5490/10010] Time 0.318 (0.328) Data 0.001 (0.001) Loss 1.3186 (1.3880) Prec@1 68.750 (67.804) Prec@5 86.719 (86.513) Epoch: [70][5500/10010] Time 0.316 (0.328) Data 0.000 (0.001) Loss 1.3253 (1.3881) Prec@1 65.625 (67.802) Prec@5 88.281 (86.512) Epoch: [70][5510/10010] Time 0.324 (0.328) Data 0.001 (0.001) Loss 1.5470 (1.3882) Prec@1 60.938 (67.802) Prec@5 80.469 (86.510) Epoch: [70][5520/10010] Time 0.340 (0.328) Data 0.001 (0.001) Loss 1.4292 (1.3882) Prec@1 67.969 (67.804) Prec@5 86.719 (86.509) Epoch: [70][5530/10010] Time 0.308 (0.328) Data 0.001 (0.001) Loss 1.1170 (1.3881) Prec@1 75.781 (67.808) Prec@5 89.844 (86.509) Epoch: [70][5540/10010] Time 0.324 (0.328) Data 0.001 (0.001) Loss 1.3482 (1.3882) Prec@1 65.625 (67.806) Prec@5 91.406 (86.508) Epoch: [70][5550/10010] Time 0.335 (0.328) Data 0.001 (0.001) Loss 1.6796 (1.3881) Prec@1 60.938 (67.808) Prec@5 82.812 (86.510) Epoch: [70][5560/10010] Time 0.333 (0.327) Data 0.001 (0.001) Loss 1.2101 (1.3880) Prec@1 69.531 (67.809) Prec@5 91.406 (86.511) Epoch: [70][5570/10010] Time 0.318 (0.327) Data 0.001 (0.001) Loss 1.3435 (1.3879) Prec@1 71.094 (67.812) Prec@5 86.719 (86.512) Epoch: [70][5580/10010] Time 0.316 (0.327) Data 0.000 (0.001) Loss 1.4341 (1.3880) Prec@1 70.312 (67.811) Prec@5 87.500 (86.513) Epoch: [70][5590/10010] Time 0.332 (0.327) Data 0.001 (0.001) Loss 1.3402 (1.3879) Prec@1 69.531 (67.811) Prec@5 89.062 (86.514) Epoch: [70][5600/10010] Time 0.343 (0.327) Data 0.000 (0.001) Loss 1.5588 (1.3881) Prec@1 69.531 (67.807) Prec@5 82.812 (86.509) Epoch: [70][5610/10010] Time 0.309 (0.327) Data 0.001 (0.001) Loss 1.3123 (1.3881) Prec@1 71.094 (67.808) Prec@5 85.156 (86.509) Epoch: [70][5620/10010] Time 0.320 (0.327) Data 0.001 (0.001) Loss 1.4889 (1.3881) Prec@1 67.969 (67.807) Prec@5 87.500 (86.511) Epoch: [70][5630/10010] Time 0.335 (0.327) Data 0.001 (0.001) Loss 1.5580 (1.3882) Prec@1 65.625 (67.805) Prec@5 79.688 (86.510) Epoch: [70][5640/10010] Time 0.334 (0.327) Data 0.001 (0.001) Loss 1.3562 (1.3882) Prec@1 67.969 (67.806) Prec@5 89.844 (86.510) Epoch: [70][5650/10010] Time 0.322 (0.327) Data 0.000 (0.001) Loss 1.5890 (1.3883) Prec@1 63.281 (67.806) Prec@5 83.594 (86.507) Epoch: [70][5660/10010] Time 0.326 (0.327) Data 0.001 (0.001) Loss 1.3097 (1.3882) Prec@1 71.094 (67.810) Prec@5 85.938 (86.508) Epoch: [70][5670/10010] Time 0.329 (0.327) Data 0.001 (0.001) Loss 1.3355 (1.3882) Prec@1 70.312 (67.810) Prec@5 85.156 (86.508) Epoch: [70][5680/10010] Time 0.322 (0.327) Data 0.000 (0.001) Loss 1.3058 (1.3882) Prec@1 68.750 (67.809) Prec@5 88.281 (86.508) Epoch: [70][5690/10010] Time 0.330 (0.327) Data 0.001 (0.001) Loss 1.5202 (1.3884) Prec@1 68.750 (67.808) Prec@5 85.156 (86.506) Epoch: [70][5700/10010] Time 0.336 (0.327) Data 0.001 (0.001) Loss 1.5915 (1.3886) Prec@1 65.625 (67.803) Prec@5 85.938 (86.502) Epoch: [70][5710/10010] Time 0.337 (0.327) Data 0.001 (0.001) Loss 1.3288 (1.3885) Prec@1 69.531 (67.806) Prec@5 86.719 (86.503) Epoch: [70][5720/10010] Time 0.329 (0.327) Data 0.001 (0.001) Loss 1.4465 (1.3885) Prec@1 67.188 (67.805) Prec@5 83.594 (86.500) Epoch: [70][5730/10010] Time 0.327 (0.327) Data 0.001 (0.001) Loss 1.5692 (1.3886) Prec@1 66.406 (67.804) Prec@5 82.031 (86.499) Epoch: [70][5740/10010] Time 0.324 (0.327) Data 0.001 (0.001) Loss 1.3780 (1.3885) Prec@1 69.531 (67.804) Prec@5 89.062 (86.500) Epoch: [70][5750/10010] Time 0.323 (0.327) Data 0.001 (0.001) Loss 1.4513 (1.3885) Prec@1 65.625 (67.804) Prec@5 85.156 (86.500) Epoch: [70][5760/10010] Time 0.339 (0.327) Data 0.000 (0.001) Loss 1.4896 (1.3885) Prec@1 66.406 (67.804) Prec@5 86.719 (86.500) Epoch: [70][5770/10010] Time 0.308 (0.327) Data 0.001 (0.001) Loss 1.3605 (1.3886) Prec@1 67.188 (67.801) Prec@5 88.281 (86.498) Epoch: [70][5780/10010] Time 0.322 (0.327) Data 0.001 (0.001) Loss 1.5872 (1.3887) Prec@1 65.625 (67.802) Prec@5 82.812 (86.497) Epoch: [70][5790/10010] Time 0.331 (0.327) Data 0.001 (0.001) Loss 1.2977 (1.3887) Prec@1 67.188 (67.801) Prec@5 88.281 (86.495) Epoch: [70][5800/10010] Time 0.315 (0.327) Data 0.001 (0.001) Loss 1.2985 (1.3887) Prec@1 68.750 (67.801) Prec@5 89.062 (86.495) Epoch: [70][5810/10010] Time 0.328 (0.327) Data 0.001 (0.001) Loss 1.0445 (1.3887) Prec@1 79.688 (67.804) Prec@5 90.625 (86.495) Epoch: [70][5820/10010] Time 0.321 (0.327) Data 0.000 (0.001) Loss 1.1289 (1.3886) Prec@1 74.219 (67.804) Prec@5 94.531 (86.497) Epoch: [70][5830/10010] Time 0.328 (0.327) Data 0.000 (0.001) Loss 1.5840 (1.3886) Prec@1 66.406 (67.804) Prec@5 82.031 (86.498) Epoch: [70][5840/10010] Time 0.313 (0.327) Data 0.001 (0.001) Loss 1.4824 (1.3885) Prec@1 67.188 (67.805) Prec@5 85.156 (86.499) Epoch: [70][5850/10010] Time 0.316 (0.327) Data 0.001 (0.001) Loss 1.2387 (1.3885) Prec@1 71.094 (67.804) Prec@5 91.406 (86.500) Epoch: [70][5860/10010] Time 0.341 (0.327) Data 0.000 (0.001) Loss 1.5766 (1.3885) Prec@1 62.500 (67.803) Prec@5 80.469 (86.498) Epoch: [70][5870/10010] Time 0.327 (0.327) Data 0.001 (0.001) Loss 1.5064 (1.3886) Prec@1 67.188 (67.803) Prec@5 85.938 (86.497) Epoch: [70][5880/10010] Time 0.330 (0.327) Data 0.000 (0.001) Loss 1.5734 (1.3885) Prec@1 65.625 (67.802) Prec@5 81.250 (86.498) Epoch: [70][5890/10010] Time 0.316 (0.327) Data 0.001 (0.001) Loss 1.1011 (1.3883) Prec@1 75.781 (67.805) Prec@5 91.406 (86.500) Epoch: [70][5900/10010] Time 0.319 (0.327) Data 0.001 (0.001) Loss 1.7715 (1.3885) Prec@1 57.812 (67.800) Prec@5 82.812 (86.498) Epoch: [70][5910/10010] Time 0.318 (0.327) Data 0.001 (0.001) Loss 1.5721 (1.3886) Prec@1 66.406 (67.798) Prec@5 83.594 (86.495) Epoch: [70][5920/10010] Time 0.340 (0.327) Data 0.001 (0.001) Loss 1.5538 (1.3887) Prec@1 67.969 (67.798) Prec@5 83.594 (86.494) Epoch: [70][5930/10010] Time 0.329 (0.327) Data 0.000 (0.001) Loss 1.6201 (1.3886) Prec@1 64.844 (67.799) Prec@5 82.031 (86.495) Epoch: [70][5940/10010] Time 0.330 (0.327) Data 0.001 (0.001) Loss 1.5249 (1.3886) Prec@1 65.625 (67.799) Prec@5 84.375 (86.494) Epoch: [70][5950/10010] Time 0.308 (0.327) Data 0.001 (0.001) Loss 1.2714 (1.3887) Prec@1 66.406 (67.796) Prec@5 89.844 (86.494) Epoch: [70][5960/10010] Time 0.323 (0.327) Data 0.001 (0.001) Loss 1.2697 (1.3886) Prec@1 72.656 (67.797) Prec@5 87.500 (86.493) Epoch: [70][5970/10010] Time 0.334 (0.327) Data 0.000 (0.001) Loss 1.4074 (1.3885) Prec@1 68.750 (67.799) Prec@5 85.156 (86.496) Epoch: [70][5980/10010] Time 0.320 (0.327) Data 0.001 (0.001) Loss 1.2579 (1.3885) Prec@1 69.531 (67.800) Prec@5 87.500 (86.494) Epoch: [70][5990/10010] Time 0.335 (0.327) Data 0.001 (0.001) Loss 1.1570 (1.3884) Prec@1 73.438 (67.801) Prec@5 85.938 (86.493) Epoch: [70][6000/10010] Time 0.316 (0.327) Data 0.001 (0.001) Loss 1.4733 (1.3884) Prec@1 65.625 (67.802) Prec@5 85.156 (86.494) Epoch: [70][6010/10010] Time 0.338 (0.327) Data 0.001 (0.001) Loss 1.3981 (1.3884) Prec@1 67.188 (67.805) Prec@5 90.625 (86.495) Epoch: [70][6020/10010] Time 0.334 (0.327) Data 0.001 (0.001) Loss 1.4225 (1.3883) Prec@1 67.188 (67.806) Prec@5 85.938 (86.496) Epoch: [70][6030/10010] Time 0.316 (0.327) Data 0.001 (0.001) Loss 1.5528 (1.3883) Prec@1 64.844 (67.803) Prec@5 82.812 (86.495) Epoch: [70][6040/10010] Time 0.341 (0.327) Data 0.000 (0.001) Loss 1.5523 (1.3885) Prec@1 63.281 (67.800) Prec@5 85.156 (86.494) Epoch: [70][6050/10010] Time 0.324 (0.327) Data 0.001 (0.001) Loss 1.3062 (1.3884) Prec@1 70.312 (67.801) Prec@5 88.281 (86.495) Epoch: [70][6060/10010] Time 0.320 (0.327) Data 0.001 (0.001) Loss 1.5194 (1.3884) Prec@1 66.406 (67.802) Prec@5 85.156 (86.495) Epoch: [70][6070/10010] Time 0.336 (0.327) Data 0.001 (0.001) Loss 1.4006 (1.3885) Prec@1 66.406 (67.800) Prec@5 89.844 (86.495) Epoch: [70][6080/10010] Time 0.320 (0.327) Data 0.001 (0.001) Loss 1.2339 (1.3885) Prec@1 72.656 (67.801) Prec@5 92.188 (86.497) Epoch: [70][6090/10010] Time 0.327 (0.327) Data 0.000 (0.001) Loss 1.0760 (1.3885) Prec@1 75.781 (67.803) Prec@5 92.188 (86.498) Epoch: [70][6100/10010] Time 0.312 (0.327) Data 0.001 (0.001) Loss 1.3263 (1.3885) Prec@1 64.844 (67.802) Prec@5 89.062 (86.499) Epoch: [70][6110/10010] Time 0.333 (0.327) Data 0.001 (0.001) Loss 1.1780 (1.3883) Prec@1 71.875 (67.805) Prec@5 92.969 (86.502) Epoch: [70][6120/10010] Time 0.339 (0.327) Data 0.000 (0.001) Loss 1.5250 (1.3883) Prec@1 66.406 (67.805) Prec@5 85.156 (86.500) Epoch: [70][6130/10010] Time 0.328 (0.327) Data 0.001 (0.001) Loss 1.2441 (1.3883) Prec@1 70.312 (67.808) Prec@5 89.062 (86.500) Epoch: [70][6140/10010] Time 0.327 (0.327) Data 0.000 (0.001) Loss 1.6644 (1.3883) Prec@1 63.281 (67.805) Prec@5 78.906 (86.500) Epoch: [70][6150/10010] Time 0.333 (0.327) Data 0.001 (0.001) Loss 1.2261 (1.3882) Prec@1 71.094 (67.810) Prec@5 88.281 (86.503) Epoch: [70][6160/10010] Time 0.340 (0.327) Data 0.001 (0.001) Loss 1.5217 (1.3883) Prec@1 64.844 (67.806) Prec@5 85.938 (86.502) Epoch: [70][6170/10010] Time 0.321 (0.327) Data 0.001 (0.001) Loss 1.3988 (1.3882) Prec@1 67.188 (67.807) Prec@5 85.156 (86.503) Epoch: [70][6180/10010] Time 0.312 (0.327) Data 0.001 (0.001) Loss 1.4317 (1.3882) Prec@1 67.969 (67.809) Prec@5 85.938 (86.503) Epoch: [70][6190/10010] Time 0.338 (0.327) Data 0.001 (0.001) Loss 1.3040 (1.3881) Prec@1 70.312 (67.812) Prec@5 89.062 (86.503) Epoch: [70][6200/10010] Time 0.338 (0.327) Data 0.001 (0.001) Loss 1.4266 (1.3880) Prec@1 67.188 (67.814) Prec@5 87.500 (86.503) Epoch: [70][6210/10010] Time 0.339 (0.327) Data 0.001 (0.001) Loss 1.4012 (1.3879) Prec@1 68.750 (67.816) Prec@5 85.938 (86.505) Epoch: [70][6220/10010] Time 0.318 (0.327) Data 0.001 (0.001) Loss 1.1112 (1.3879) Prec@1 72.656 (67.815) Prec@5 87.500 (86.505) Epoch: [70][6230/10010] Time 0.323 (0.327) Data 0.001 (0.001) Loss 1.5252 (1.3879) Prec@1 64.062 (67.818) Prec@5 85.938 (86.505) Epoch: [70][6240/10010] Time 0.316 (0.327) Data 0.001 (0.001) Loss 1.3648 (1.3879) Prec@1 67.188 (67.820) Prec@5 87.500 (86.505) Epoch: [70][6250/10010] Time 0.333 (0.327) Data 0.001 (0.001) Loss 1.2639 (1.3879) Prec@1 70.312 (67.819) Prec@5 88.281 (86.504) Epoch: [70][6260/10010] Time 0.316 (0.327) Data 0.001 (0.001) Loss 1.5941 (1.3879) Prec@1 62.500 (67.822) Prec@5 82.812 (86.505) Epoch: [70][6270/10010] Time 0.330 (0.327) Data 0.000 (0.001) Loss 1.3539 (1.3879) Prec@1 71.094 (67.822) Prec@5 84.375 (86.503) Epoch: [70][6280/10010] Time 0.311 (0.327) Data 0.001 (0.001) Loss 1.5349 (1.3879) Prec@1 67.188 (67.820) Prec@5 79.688 (86.500) Epoch: [70][6290/10010] Time 0.328 (0.327) Data 0.001 (0.001) Loss 1.2816 (1.3879) Prec@1 69.531 (67.820) Prec@5 88.281 (86.503) Epoch: [70][6300/10010] Time 0.316 (0.327) Data 0.001 (0.001) Loss 1.2726 (1.3878) Prec@1 68.750 (67.823) Prec@5 84.375 (86.503) Epoch: [70][6310/10010] Time 0.329 (0.327) Data 0.001 (0.001) Loss 1.4174 (1.3878) Prec@1 69.531 (67.824) Prec@5 85.156 (86.506) Epoch: [70][6320/10010] Time 0.331 (0.327) Data 0.001 (0.001) Loss 1.4687 (1.3878) Prec@1 64.844 (67.825) Prec@5 85.156 (86.506) Epoch: [70][6330/10010] Time 0.334 (0.327) Data 0.001 (0.001) Loss 1.2844 (1.3878) Prec@1 72.656 (67.826) Prec@5 86.719 (86.505) Epoch: [70][6340/10010] Time 0.335 (0.327) Data 0.001 (0.001) Loss 1.4517 (1.3878) Prec@1 63.281 (67.824) Prec@5 86.719 (86.505) Epoch: [70][6350/10010] Time 0.325 (0.327) Data 0.001 (0.001) Loss 1.6818 (1.3879) Prec@1 62.500 (67.820) Prec@5 82.812 (86.505) Epoch: [70][6360/10010] Time 0.324 (0.327) Data 0.001 (0.001) Loss 1.4529 (1.3878) Prec@1 65.625 (67.822) Prec@5 85.938 (86.506) Epoch: [70][6370/10010] Time 0.317 (0.327) Data 0.001 (0.001) Loss 1.1132 (1.3878) Prec@1 73.438 (67.821) Prec@5 91.406 (86.506) Epoch: [70][6380/10010] Time 0.332 (0.327) Data 0.001 (0.001) Loss 1.4411 (1.3877) Prec@1 71.094 (67.827) Prec@5 89.844 (86.507) Epoch: [70][6390/10010] Time 0.331 (0.327) Data 0.000 (0.001) Loss 1.3056 (1.3877) Prec@1 70.312 (67.828) Prec@5 86.719 (86.507) Epoch: [70][6400/10010] Time 0.326 (0.327) Data 0.001 (0.001) Loss 1.5663 (1.3878) Prec@1 66.406 (67.826) Prec@5 84.375 (86.506) Epoch: [70][6410/10010] Time 0.340 (0.327) Data 0.001 (0.001) Loss 1.0678 (1.3877) Prec@1 73.438 (67.825) Prec@5 92.969 (86.506) Epoch: [70][6420/10010] Time 0.334 (0.327) Data 0.000 (0.001) Loss 1.0958 (1.3877) Prec@1 75.781 (67.826) Prec@5 89.844 (86.506) Epoch: [70][6430/10010] Time 0.328 (0.327) Data 0.001 (0.001) Loss 1.6453 (1.3877) Prec@1 64.844 (67.826) Prec@5 83.594 (86.507) Epoch: [70][6440/10010] Time 0.324 (0.327) Data 0.000 (0.001) Loss 1.6027 (1.3877) Prec@1 67.969 (67.827) Prec@5 82.031 (86.508) Epoch: [70][6450/10010] Time 0.320 (0.327) Data 0.000 (0.001) Loss 1.1921 (1.3877) Prec@1 71.094 (67.824) Prec@5 89.844 (86.508) Epoch: [70][6460/10010] Time 0.311 (0.327) Data 0.000 (0.001) Loss 1.4189 (1.3877) Prec@1 71.875 (67.822) Prec@5 87.500 (86.508) Epoch: [70][6470/10010] Time 0.326 (0.327) Data 0.001 (0.001) Loss 1.5642 (1.3878) Prec@1 62.500 (67.819) Prec@5 88.281 (86.507) Epoch: [70][6480/10010] Time 0.333 (0.327) Data 0.000 (0.001) Loss 1.3833 (1.3879) Prec@1 68.750 (67.817) Prec@5 86.719 (86.506) Epoch: [70][6490/10010] Time 0.314 (0.327) Data 0.001 (0.001) Loss 1.3932 (1.3878) Prec@1 67.188 (67.817) Prec@5 88.281 (86.506) Epoch: [70][6500/10010] Time 0.337 (0.327) Data 0.000 (0.001) Loss 1.3698 (1.3878) Prec@1 69.531 (67.817) Prec@5 88.281 (86.507) Epoch: [70][6510/10010] Time 0.328 (0.327) Data 0.000 (0.001) Loss 1.3062 (1.3878) Prec@1 67.188 (67.816) Prec@5 90.625 (86.507) Epoch: [70][6520/10010] Time 0.323 (0.327) Data 0.001 (0.001) Loss 1.2939 (1.3878) Prec@1 68.750 (67.817) Prec@5 84.375 (86.506) Epoch: [70][6530/10010] Time 0.319 (0.327) Data 0.001 (0.001) Loss 1.6529 (1.3879) Prec@1 64.062 (67.814) Prec@5 82.812 (86.503) Epoch: [70][6540/10010] Time 0.322 (0.327) Data 0.001 (0.001) Loss 1.3085 (1.3878) Prec@1 69.531 (67.816) Prec@5 89.844 (86.505) Epoch: [70][6550/10010] Time 0.317 (0.327) Data 0.000 (0.001) Loss 1.5668 (1.3878) Prec@1 64.062 (67.818) Prec@5 85.156 (86.506) Epoch: [70][6560/10010] Time 0.316 (0.327) Data 0.001 (0.001) Loss 1.2373 (1.3878) Prec@1 67.969 (67.819) Prec@5 87.500 (86.506) Epoch: [70][6570/10010] Time 0.321 (0.327) Data 0.000 (0.001) Loss 1.3474 (1.3878) Prec@1 64.062 (67.816) Prec@5 87.500 (86.507) Epoch: [70][6580/10010] Time 0.318 (0.327) Data 0.001 (0.001) Loss 1.1175 (1.3877) Prec@1 74.219 (67.818) Prec@5 92.969 (86.510) Epoch: [70][6590/10010] Time 0.317 (0.327) Data 0.000 (0.001) Loss 1.4925 (1.3877) Prec@1 66.406 (67.820) Prec@5 83.594 (86.510) Epoch: [70][6600/10010] Time 0.321 (0.327) Data 0.000 (0.001) Loss 1.2376 (1.3877) Prec@1 71.875 (67.819) Prec@5 90.625 (86.511) Epoch: [70][6610/10010] Time 0.322 (0.327) Data 0.000 (0.001) Loss 1.2627 (1.3877) Prec@1 69.531 (67.818) Prec@5 91.406 (86.512) Epoch: [70][6620/10010] Time 0.337 (0.327) Data 0.000 (0.001) Loss 1.3617 (1.3876) Prec@1 68.750 (67.821) Prec@5 85.938 (86.512) Epoch: [70][6630/10010] Time 0.322 (0.327) Data 0.001 (0.001) Loss 1.6045 (1.3876) Prec@1 60.156 (67.819) Prec@5 78.906 (86.510) Epoch: [70][6640/10010] Time 0.335 (0.327) Data 0.001 (0.001) Loss 1.3701 (1.3876) Prec@1 69.531 (67.820) Prec@5 83.594 (86.508) Epoch: [70][6650/10010] Time 0.321 (0.327) Data 0.000 (0.001) Loss 1.2037 (1.3876) Prec@1 75.781 (67.823) Prec@5 87.500 (86.509) Epoch: [70][6660/10010] Time 0.326 (0.327) Data 0.001 (0.001) Loss 1.2940 (1.3875) Prec@1 67.969 (67.824) Prec@5 86.719 (86.511) Epoch: [70][6670/10010] Time 0.339 (0.327) Data 0.000 (0.001) Loss 1.1287 (1.3874) Prec@1 73.438 (67.824) Prec@5 87.500 (86.512) Epoch: [70][6680/10010] Time 0.340 (0.327) Data 0.001 (0.001) Loss 1.1967 (1.3875) Prec@1 71.875 (67.822) Prec@5 87.500 (86.510) Epoch: [70][6690/10010] Time 0.338 (0.327) Data 0.001 (0.001) Loss 1.0901 (1.3874) Prec@1 75.781 (67.825) Prec@5 88.281 (86.509) Epoch: [70][6700/10010] Time 0.330 (0.327) Data 0.001 (0.001) Loss 1.3946 (1.3872) Prec@1 68.750 (67.831) Prec@5 85.938 (86.513) Epoch: [70][6710/10010] Time 0.319 (0.327) Data 0.000 (0.001) Loss 1.1955 (1.3870) Prec@1 67.969 (67.835) Prec@5 92.969 (86.516) Epoch: [70][6720/10010] Time 0.320 (0.327) Data 0.000 (0.001) Loss 1.4252 (1.3871) Prec@1 67.188 (67.832) Prec@5 85.938 (86.515) Epoch: [70][6730/10010] Time 0.323 (0.327) Data 0.000 (0.001) Loss 1.2791 (1.3870) Prec@1 71.094 (67.833) Prec@5 88.281 (86.516) Epoch: [70][6740/10010] Time 0.326 (0.327) Data 0.000 (0.001) Loss 1.4986 (1.3871) Prec@1 66.406 (67.835) Prec@5 85.156 (86.516) Epoch: [70][6750/10010] Time 0.315 (0.327) Data 0.001 (0.001) Loss 1.1333 (1.3870) Prec@1 72.656 (67.835) Prec@5 90.625 (86.518) Epoch: [70][6760/10010] Time 0.332 (0.327) Data 0.000 (0.001) Loss 1.6572 (1.3871) Prec@1 63.281 (67.832) Prec@5 82.812 (86.518) Epoch: [70][6770/10010] Time 0.321 (0.327) Data 0.001 (0.001) Loss 1.3948 (1.3871) Prec@1 63.281 (67.831) Prec@5 86.719 (86.520) Epoch: [70][6780/10010] Time 0.321 (0.327) Data 0.000 (0.001) Loss 1.6721 (1.3872) Prec@1 66.406 (67.830) Prec@5 83.594 (86.519) Epoch: [70][6790/10010] Time 0.329 (0.327) Data 0.000 (0.001) Loss 1.6050 (1.3872) Prec@1 64.844 (67.830) Prec@5 83.594 (86.517) Epoch: [70][6800/10010] Time 0.323 (0.327) Data 0.000 (0.001) Loss 1.2648 (1.3872) Prec@1 70.312 (67.831) Prec@5 86.719 (86.516) Epoch: [70][6810/10010] Time 0.318 (0.327) Data 0.000 (0.001) Loss 1.2992 (1.3873) Prec@1 70.312 (67.831) Prec@5 89.062 (86.516) Epoch: [70][6820/10010] Time 0.331 (0.327) Data 0.000 (0.001) Loss 1.1986 (1.3873) Prec@1 66.406 (67.830) Prec@5 90.625 (86.515) Epoch: [70][6830/10010] Time 0.340 (0.327) Data 0.000 (0.001) Loss 1.0404 (1.3870) Prec@1 73.438 (67.836) Prec@5 89.062 (86.518) Epoch: [70][6840/10010] Time 0.318 (0.327) Data 0.001 (0.001) Loss 1.6123 (1.3871) Prec@1 67.188 (67.833) Prec@5 84.375 (86.516) Epoch: [70][6850/10010] Time 0.325 (0.327) Data 0.001 (0.001) Loss 1.0541 (1.3872) Prec@1 76.562 (67.832) Prec@5 89.844 (86.517) Epoch: [70][6860/10010] Time 0.316 (0.327) Data 0.001 (0.001) Loss 1.6278 (1.3872) Prec@1 60.156 (67.829) Prec@5 80.469 (86.516) Epoch: [70][6870/10010] Time 0.332 (0.327) Data 0.001 (0.001) Loss 1.4578 (1.3873) Prec@1 64.844 (67.830) Prec@5 88.281 (86.516) Epoch: [70][6880/10010] Time 0.320 (0.327) Data 0.000 (0.001) Loss 1.3413 (1.3872) Prec@1 71.875 (67.831) Prec@5 89.062 (86.517) Epoch: [70][6890/10010] Time 0.315 (0.327) Data 0.001 (0.001) Loss 1.0777 (1.3873) Prec@1 72.656 (67.828) Prec@5 89.844 (86.517) Epoch: [70][6900/10010] Time 0.319 (0.327) Data 0.001 (0.001) Loss 1.1886 (1.3872) Prec@1 70.312 (67.828) Prec@5 90.625 (86.519) Epoch: [70][6910/10010] Time 0.321 (0.327) Data 0.000 (0.001) Loss 1.4035 (1.3873) Prec@1 63.281 (67.828) Prec@5 83.594 (86.518) Epoch: [70][6920/10010] Time 0.320 (0.327) Data 0.001 (0.001) Loss 1.2611 (1.3872) Prec@1 67.969 (67.830) Prec@5 88.281 (86.519) Epoch: [70][6930/10010] Time 0.328 (0.327) Data 0.001 (0.001) Loss 1.2244 (1.3871) Prec@1 68.750 (67.831) Prec@5 90.625 (86.520) Epoch: [70][6940/10010] Time 0.327 (0.327) Data 0.001 (0.001) Loss 1.3184 (1.3872) Prec@1 67.969 (67.827) Prec@5 88.281 (86.518) Epoch: [70][6950/10010] Time 0.316 (0.327) Data 0.001 (0.001) Loss 1.6075 (1.3873) Prec@1 66.406 (67.824) Prec@5 82.812 (86.517) Epoch: [70][6960/10010] Time 0.319 (0.327) Data 0.000 (0.001) Loss 1.1477 (1.3872) Prec@1 68.750 (67.825) Prec@5 89.844 (86.519) Epoch: [70][6970/10010] Time 0.329 (0.327) Data 0.000 (0.001) Loss 1.6518 (1.3872) Prec@1 61.719 (67.825) Prec@5 79.688 (86.518) Epoch: [70][6980/10010] Time 0.333 (0.327) Data 0.001 (0.001) Loss 1.2672 (1.3871) Prec@1 65.625 (67.825) Prec@5 89.844 (86.519) Epoch: [70][6990/10010] Time 0.313 (0.327) Data 0.001 (0.001) Loss 1.5399 (1.3872) Prec@1 67.188 (67.824) Prec@5 81.250 (86.517) Epoch: [70][7000/10010] Time 0.317 (0.327) Data 0.001 (0.001) Loss 1.2367 (1.3871) Prec@1 69.531 (67.827) Prec@5 86.719 (86.518) Epoch: [70][7010/10010] Time 0.320 (0.327) Data 0.000 (0.001) Loss 1.2786 (1.3870) Prec@1 70.312 (67.829) Prec@5 89.844 (86.518) Epoch: [70][7020/10010] Time 0.339 (0.327) Data 0.001 (0.001) Loss 1.6177 (1.3869) Prec@1 61.719 (67.832) Prec@5 83.594 (86.520) Epoch: [70][7030/10010] Time 0.321 (0.327) Data 0.001 (0.001) Loss 1.5379 (1.3869) Prec@1 66.406 (67.835) Prec@5 84.375 (86.521) Epoch: [70][7040/10010] Time 0.312 (0.327) Data 0.000 (0.001) Loss 1.4709 (1.3868) Prec@1 64.062 (67.834) Prec@5 89.062 (86.522) Epoch: [70][7050/10010] Time 0.340 (0.327) Data 0.001 (0.001) Loss 1.4823 (1.3868) Prec@1 66.406 (67.835) Prec@5 81.250 (86.523) Epoch: [70][7060/10010] Time 0.339 (0.327) Data 0.001 (0.001) Loss 1.1240 (1.3867) Prec@1 74.219 (67.836) Prec@5 91.406 (86.525) Epoch: [70][7070/10010] Time 0.320 (0.327) Data 0.001 (0.001) Loss 1.2755 (1.3867) Prec@1 65.625 (67.836) Prec@5 90.625 (86.524) Epoch: [70][7080/10010] Time 0.321 (0.327) Data 0.000 (0.001) Loss 1.3125 (1.3867) Prec@1 62.500 (67.837) Prec@5 85.938 (86.525) Epoch: [70][7090/10010] Time 0.312 (0.327) Data 0.001 (0.001) Loss 1.3881 (1.3867) Prec@1 71.875 (67.837) Prec@5 85.156 (86.523) Epoch: [70][7100/10010] Time 0.329 (0.327) Data 0.001 (0.001) Loss 1.4248 (1.3867) Prec@1 67.969 (67.837) Prec@5 88.281 (86.526) Epoch: [70][7110/10010] Time 0.323 (0.327) Data 0.001 (0.001) Loss 1.4147 (1.3868) Prec@1 68.750 (67.834) Prec@5 85.938 (86.526) Epoch: [70][7120/10010] Time 0.314 (0.327) Data 0.001 (0.001) Loss 1.5932 (1.3869) Prec@1 60.156 (67.832) Prec@5 84.375 (86.525) Epoch: [70][7130/10010] Time 0.324 (0.327) Data 0.000 (0.001) Loss 1.7568 (1.3870) Prec@1 64.062 (67.832) Prec@5 82.812 (86.523) Epoch: [70][7140/10010] Time 0.315 (0.327) Data 0.001 (0.001) Loss 1.5286 (1.3871) Prec@1 67.969 (67.829) Prec@5 85.156 (86.522) Epoch: [70][7150/10010] Time 0.328 (0.327) Data 0.001 (0.001) Loss 1.3500 (1.3871) Prec@1 65.625 (67.828) Prec@5 87.500 (86.522) Epoch: [70][7160/10010] Time 0.334 (0.327) Data 0.000 (0.001) Loss 1.7191 (1.3872) Prec@1 62.500 (67.827) Prec@5 80.469 (86.521) Epoch: [70][7170/10010] Time 0.319 (0.327) Data 0.001 (0.001) Loss 1.5515 (1.3872) Prec@1 62.500 (67.826) Prec@5 81.250 (86.520) Epoch: [70][7180/10010] Time 0.331 (0.327) Data 0.001 (0.001) Loss 1.2487 (1.3871) Prec@1 74.219 (67.829) Prec@5 86.719 (86.520) Epoch: [70][7190/10010] Time 0.319 (0.327) Data 0.001 (0.001) Loss 1.4541 (1.3872) Prec@1 69.531 (67.830) Prec@5 85.938 (86.519) Epoch: [70][7200/10010] Time 0.312 (0.327) Data 0.001 (0.001) Loss 1.4215 (1.3871) Prec@1 62.500 (67.830) Prec@5 89.062 (86.521) Epoch: [70][7210/10010] Time 0.338 (0.327) Data 0.000 (0.001) Loss 1.2619 (1.3870) Prec@1 70.312 (67.832) Prec@5 85.938 (86.521) Epoch: [70][7220/10010] Time 0.334 (0.327) Data 0.001 (0.001) Loss 1.5902 (1.3871) Prec@1 61.719 (67.831) Prec@5 84.375 (86.521) Epoch: [70][7230/10010] Time 0.334 (0.327) Data 0.001 (0.001) Loss 1.3494 (1.3870) Prec@1 67.188 (67.833) Prec@5 86.719 (86.520) Epoch: [70][7240/10010] Time 0.318 (0.327) Data 0.000 (0.001) Loss 1.4024 (1.3871) Prec@1 65.625 (67.832) Prec@5 87.500 (86.520) Epoch: [70][7250/10010] Time 0.319 (0.327) Data 0.000 (0.001) Loss 1.2965 (1.3870) Prec@1 69.531 (67.832) Prec@5 84.375 (86.520) Epoch: [70][7260/10010] Time 0.330 (0.327) Data 0.001 (0.001) Loss 1.2486 (1.3870) Prec@1 71.094 (67.832) Prec@5 89.844 (86.521) Epoch: [70][7270/10010] Time 0.334 (0.327) Data 0.001 (0.001) Loss 1.5319 (1.3871) Prec@1 65.625 (67.830) Prec@5 84.375 (86.517) Epoch: [70][7280/10010] Time 0.341 (0.327) Data 0.001 (0.001) Loss 1.2732 (1.3870) Prec@1 67.969 (67.832) Prec@5 87.500 (86.518) Epoch: [70][7290/10010] Time 0.317 (0.327) Data 0.001 (0.001) Loss 1.2849 (1.3870) Prec@1 68.750 (67.832) Prec@5 87.500 (86.518) Epoch: [70][7300/10010] Time 0.335 (0.327) Data 0.001 (0.001) Loss 1.3031 (1.3869) Prec@1 65.625 (67.832) Prec@5 92.969 (86.521) Epoch: [70][7310/10010] Time 0.316 (0.327) Data 0.001 (0.001) Loss 1.2846 (1.3870) Prec@1 67.188 (67.830) Prec@5 90.625 (86.521) Epoch: [70][7320/10010] Time 0.319 (0.327) Data 0.000 (0.001) Loss 1.5560 (1.3871) Prec@1 64.062 (67.825) Prec@5 83.594 (86.519) Epoch: [70][7330/10010] Time 0.331 (0.327) Data 0.001 (0.001) Loss 1.4176 (1.3873) Prec@1 68.750 (67.825) Prec@5 87.500 (86.518) Epoch: [70][7340/10010] Time 0.316 (0.327) Data 0.001 (0.001) Loss 1.6962 (1.3873) Prec@1 62.500 (67.824) Prec@5 84.375 (86.517) Epoch: [70][7350/10010] Time 0.335 (0.327) Data 0.001 (0.001) Loss 1.2695 (1.3872) Prec@1 69.531 (67.825) Prec@5 86.719 (86.519) Epoch: [70][7360/10010] Time 0.314 (0.327) Data 0.001 (0.001) Loss 1.0913 (1.3872) Prec@1 71.094 (67.825) Prec@5 92.969 (86.519) /data/vision/torralba/deepscene/lib/anaconda2/lib/python2.7/site-packages/PIL/TiffImagePlugin.py:692: UserWarning: Possibly corrupt EXIF data. Expecting to read 2555904 bytes but only got 0. Skipping tag 0 "Skipping tag %s" % (size, len(data), tag)) Epoch: [70][7370/10010] Time 0.330 (0.327) Data 0.001 (0.001) Loss 1.5567 (1.3873) Prec@1 67.969 (67.824) Prec@5 85.156 (86.520) Epoch: [70][7380/10010] Time 0.317 (0.327) Data 0.001 (0.001) Loss 1.3107 (1.3873) Prec@1 74.219 (67.826) Prec@5 89.062 (86.520) Epoch: [70][7390/10010] Time 0.313 (0.327) Data 0.001 (0.001) Loss 1.6631 (1.3872) Prec@1 58.594 (67.828) Prec@5 82.812 (86.523) Epoch: [70][7400/10010] Time 0.316 (0.327) Data 0.001 (0.001) Loss 1.2122 (1.3872) Prec@1 71.094 (67.830) Prec@5 89.062 (86.524) Epoch: [70][7410/10010] Time 0.328 (0.327) Data 0.001 (0.001) Loss 1.2166 (1.3871) Prec@1 67.969 (67.829) Prec@5 89.844 (86.524) Epoch: [70][7420/10010] Time 0.326 (0.327) Data 0.001 (0.001) Loss 1.4524 (1.3873) Prec@1 68.750 (67.828) Prec@5 84.375 (86.522) Epoch: [70][7430/10010] Time 0.313 (0.327) Data 0.001 (0.001) Loss 1.1360 (1.3870) Prec@1 70.312 (67.833) Prec@5 88.281 (86.526) Epoch: [70][7440/10010] Time 0.318 (0.327) Data 0.001 (0.001) Loss 1.4119 (1.3870) Prec@1 64.062 (67.833) Prec@5 86.719 (86.527) Epoch: [70][7450/10010] Time 0.334 (0.327) Data 0.000 (0.001) Loss 1.1652 (1.3870) Prec@1 71.094 (67.832) Prec@5 90.625 (86.526) Epoch: [70][7460/10010] Time 0.331 (0.327) Data 0.001 (0.001) Loss 1.1640 (1.3869) Prec@1 71.875 (67.834) Prec@5 89.062 (86.527) Epoch: [70][7470/10010] Time 0.343 (0.327) Data 0.001 (0.001) Loss 1.1556 (1.3869) Prec@1 73.438 (67.836) Prec@5 88.281 (86.529) Epoch: [70][7480/10010] Time 0.314 (0.327) Data 0.000 (0.001) Loss 1.4647 (1.3869) Prec@1 67.969 (67.836) Prec@5 85.156 (86.528) Epoch: [70][7490/10010] Time 0.324 (0.327) Data 0.001 (0.001) Loss 1.4319 (1.3868) Prec@1 64.062 (67.838) Prec@5 85.156 (86.527) Epoch: [70][7500/10010] Time 0.332 (0.327) Data 0.000 (0.001) Loss 1.4528 (1.3868) Prec@1 65.625 (67.836) Prec@5 84.375 (86.527) Epoch: [70][7510/10010] Time 0.341 (0.327) Data 0.001 (0.001) Loss 1.4618 (1.3867) Prec@1 69.531 (67.836) Prec@5 84.375 (86.530) Epoch: [70][7520/10010] Time 0.334 (0.327) Data 0.001 (0.001) Loss 1.2418 (1.3867) Prec@1 69.531 (67.837) Prec@5 89.844 (86.531) Epoch: [70][7530/10010] Time 0.328 (0.327) Data 0.000 (0.001) Loss 1.5828 (1.3868) Prec@1 66.406 (67.835) Prec@5 83.594 (86.530) Epoch: [70][7540/10010] Time 0.340 (0.327) Data 0.001 (0.001) Loss 1.3530 (1.3867) Prec@1 65.625 (67.836) Prec@5 87.500 (86.533) Epoch: [70][7550/10010] Time 0.337 (0.327) Data 0.000 (0.001) Loss 1.3297 (1.3866) Prec@1 71.875 (67.837) Prec@5 86.719 (86.533) Epoch: [70][7560/10010] Time 0.341 (0.327) Data 0.000 (0.001) Loss 1.2193 (1.3866) Prec@1 71.094 (67.838) Prec@5 89.844 (86.534) Epoch: [70][7570/10010] Time 0.337 (0.327) Data 0.001 (0.001) Loss 1.2854 (1.3866) Prec@1 69.531 (67.838) Prec@5 85.938 (86.533) Epoch: [70][7580/10010] Time 0.323 (0.327) Data 0.001 (0.001) Loss 1.4669 (1.3866) Prec@1 61.719 (67.837) Prec@5 85.156 (86.533) Epoch: [70][7590/10010] Time 0.335 (0.327) Data 0.001 (0.001) Loss 1.2854 (1.3867) Prec@1 72.656 (67.837) Prec@5 86.719 (86.531) Epoch: [70][7600/10010] Time 0.342 (0.327) Data 0.001 (0.001) Loss 1.3534 (1.3867) Prec@1 67.188 (67.837) Prec@5 86.719 (86.531) Epoch: [70][7610/10010] Time 0.337 (0.327) Data 0.001 (0.001) Loss 1.6737 (1.3867) Prec@1 64.844 (67.837) Prec@5 78.906 (86.532) Epoch: [70][7620/10010] Time 0.318 (0.327) Data 0.001 (0.001) Loss 1.3018 (1.3868) Prec@1 65.625 (67.836) Prec@5 88.281 (86.531) Epoch: [70][7630/10010] Time 0.320 (0.327) Data 0.001 (0.001) Loss 1.5519 (1.3868) Prec@1 59.375 (67.832) Prec@5 85.938 (86.529) Epoch: [70][7640/10010] Time 0.326 (0.327) Data 0.001 (0.001) Loss 1.2789 (1.3868) Prec@1 67.969 (67.830) Prec@5 90.625 (86.532) Epoch: [70][7650/10010] Time 0.335 (0.327) Data 0.001 (0.001) Loss 1.4038 (1.3868) Prec@1 65.625 (67.831) Prec@5 83.594 (86.531) Epoch: [70][7660/10010] Time 0.327 (0.327) Data 0.001 (0.001) Loss 1.7463 (1.3870) Prec@1 58.594 (67.830) Prec@5 84.375 (86.530) Epoch: [70][7670/10010] Time 0.325 (0.327) Data 0.001 (0.001) Loss 1.2361 (1.3869) Prec@1 69.531 (67.830) Prec@5 89.844 (86.532) Epoch: [70][7680/10010] Time 0.324 (0.327) Data 0.000 (0.001) Loss 1.4901 (1.3869) Prec@1 67.969 (67.829) Prec@5 86.719 (86.532) Epoch: [70][7690/10010] Time 0.319 (0.327) Data 0.000 (0.001) Loss 1.3916 (1.3869) Prec@1 68.750 (67.828) Prec@5 87.500 (86.533) Epoch: [70][7700/10010] Time 0.331 (0.327) Data 0.001 (0.001) Loss 1.3128 (1.3869) Prec@1 67.969 (67.830) Prec@5 86.719 (86.533) Epoch: [70][7710/10010] Time 0.325 (0.327) Data 0.001 (0.001) Loss 1.1989 (1.3868) Prec@1 71.875 (67.831) Prec@5 89.844 (86.533) Epoch: [70][7720/10010] Time 0.327 (0.327) Data 0.001 (0.001) Loss 1.3893 (1.3867) Prec@1 71.875 (67.835) Prec@5 86.719 (86.533) /data/vision/torralba/deepscene/lib/anaconda2/lib/python2.7/site-packages/PIL/TiffImagePlugin.py:692: UserWarning: Possibly corrupt EXIF data. Expecting to read 1835008 bytes but only got 0. Skipping tag 0 "Skipping tag %s" % (size, len(data), tag)) Epoch: [70][7730/10010] Time 0.328 (0.327) Data 0.000 (0.001) Loss 1.7021 (1.3867) Prec@1 60.938 (67.835) Prec@5 83.594 (86.534) Epoch: [70][7740/10010] Time 0.338 (0.327) Data 0.001 (0.001) Loss 1.3219 (1.3868) Prec@1 68.750 (67.832) Prec@5 89.062 (86.533) Epoch: [70][7750/10010] Time 0.329 (0.327) Data 0.001 (0.001) Loss 1.1386 (1.3868) Prec@1 71.094 (67.832) Prec@5 90.625 (86.533) Epoch: [70][7760/10010] Time 0.338 (0.327) Data 0.000 (0.001) Loss 1.3388 (1.3867) Prec@1 65.625 (67.833) Prec@5 87.500 (86.533) Epoch: [70][7770/10010] Time 0.330 (0.327) Data 0.001 (0.001) Loss 1.5659 (1.3868) Prec@1 67.969 (67.833) Prec@5 82.812 (86.532) /data/vision/torralba/deepscene/lib/anaconda2/lib/python2.7/site-packages/PIL/TiffImagePlugin.py:692: UserWarning: Possibly corrupt EXIF data. Expecting to read 19660800 bytes but only got 0. Skipping tag 0 "Skipping tag %s" % (size, len(data), tag)) /data/vision/torralba/deepscene/lib/anaconda2/lib/python2.7/site-packages/PIL/TiffImagePlugin.py:692: UserWarning: Possibly corrupt EXIF data. Expecting to read 18481152 bytes but only got 0. Skipping tag 0 "Skipping tag %s" % (size, len(data), tag)) /data/vision/torralba/deepscene/lib/anaconda2/lib/python2.7/site-packages/PIL/TiffImagePlugin.py:692: UserWarning: Possibly corrupt EXIF data. Expecting to read 37093376 bytes but only got 0. Skipping tag 0 "Skipping tag %s" % (size, len(data), tag)) /data/vision/torralba/deepscene/lib/anaconda2/lib/python2.7/site-packages/PIL/TiffImagePlugin.py:692: UserWarning: Possibly corrupt EXIF data. Expecting to read 39976960 bytes but only got 0. Skipping tag 0 "Skipping tag %s" % (size, len(data), tag)) /data/vision/torralba/deepscene/lib/anaconda2/lib/python2.7/site-packages/PIL/TiffImagePlugin.py:692: UserWarning: Possibly corrupt EXIF data. Expecting to read 34865152 bytes but only got 0. Skipping tag 0 "Skipping tag %s" % (size, len(data), tag)) /data/vision/torralba/deepscene/lib/anaconda2/lib/python2.7/site-packages/PIL/TiffImagePlugin.py:709: UserWarning: Corrupt EXIF data. Expecting to read 12 bytes but only got 10. warnings.warn(str(msg)) Epoch: [70][7780/10010] Time 0.326 (0.327) Data 0.001 (0.001) Loss 1.2921 (1.3868) Prec@1 71.875 (67.833) Prec@5 85.156 (86.532) Epoch: [70][7790/10010] Time 0.336 (0.327) Data 0.001 (0.001) Loss 1.2513 (1.3868) Prec@1 71.094 (67.834) Prec@5 88.281 (86.532) Epoch: [70][7800/10010] Time 0.325 (0.327) Data 0.000 (0.001) Loss 1.4231 (1.3868) Prec@1 64.844 (67.833) Prec@5 86.719 (86.532) Epoch: [70][7810/10010] Time 0.319 (0.327) Data 0.000 (0.001) Loss 1.3656 (1.3868) Prec@1 67.188 (67.833) Prec@5 86.719 (86.531) Epoch: [70][7820/10010] Time 0.324 (0.327) Data 0.000 (0.001) Loss 1.7602 (1.3869) Prec@1 64.062 (67.832) Prec@5 78.906 (86.530) Epoch: [70][7830/10010] Time 0.316 (0.327) Data 0.001 (0.001) Loss 1.3577 (1.3869) Prec@1 68.750 (67.832) Prec@5 87.500 (86.530) Epoch: [70][7840/10010] Time 0.318 (0.327) Data 0.001 (0.001) Loss 1.6395 (1.3870) Prec@1 63.281 (67.828) Prec@5 82.812 (86.528) Epoch: [70][7850/10010] Time 0.327 (0.327) Data 0.001 (0.001) Loss 1.5962 (1.3870) Prec@1 62.500 (67.828) Prec@5 81.250 (86.527) Epoch: [70][7860/10010] Time 0.323 (0.327) Data 0.001 (0.001) Loss 1.1968 (1.3871) Prec@1 71.094 (67.826) Prec@5 89.062 (86.528) Epoch: [70][7870/10010] Time 0.318 (0.327) Data 0.001 (0.001) Loss 1.4461 (1.3871) Prec@1 68.750 (67.826) Prec@5 86.719 (86.529) Epoch: [70][7880/10010] Time 0.332 (0.327) Data 0.001 (0.001) Loss 1.1999 (1.3870) Prec@1 75.000 (67.827) Prec@5 87.500 (86.529) Epoch: [70][7890/10010] Time 0.318 (0.327) Data 0.000 (0.001) Loss 1.5926 (1.3871) Prec@1 64.844 (67.826) Prec@5 83.594 (86.528) Epoch: [70][7900/10010] Time 0.322 (0.327) Data 0.001 (0.001) Loss 1.3965 (1.3871) Prec@1 67.188 (67.827) Prec@5 88.281 (86.528) Epoch: [70][7910/10010] Time 0.309 (0.327) Data 0.001 (0.001) Loss 1.5861 (1.3871) Prec@1 63.281 (67.824) Prec@5 84.375 (86.527) Epoch: [70][7920/10010] Time 0.340 (0.327) Data 0.000 (0.001) Loss 1.6224 (1.3872) Prec@1 62.500 (67.823) Prec@5 84.375 (86.525) Epoch: [70][7930/10010] Time 0.314 (0.327) Data 0.000 (0.001) Loss 1.3850 (1.3872) Prec@1 67.969 (67.823) Prec@5 87.500 (86.526) Epoch: [70][7940/10010] Time 0.327 (0.327) Data 0.001 (0.001) Loss 1.4485 (1.3871) Prec@1 63.281 (67.824) Prec@5 87.500 (86.528) Epoch: [70][7950/10010] Time 0.336 (0.327) Data 0.000 (0.001) Loss 1.0357 (1.3870) Prec@1 76.562 (67.826) Prec@5 92.969 (86.530) Epoch: [70][7960/10010] Time 0.338 (0.327) Data 0.000 (0.001) Loss 1.3423 (1.3871) Prec@1 66.406 (67.826) Prec@5 86.719 (86.530) Epoch: [70][7970/10010] Time 0.323 (0.327) Data 0.002 (0.001) Loss 1.5871 (1.3870) Prec@1 63.281 (67.827) Prec@5 83.594 (86.531) Epoch: [70][7980/10010] Time 0.336 (0.327) Data 0.001 (0.001) Loss 1.6976 (1.3871) Prec@1 63.281 (67.825) Prec@5 80.469 (86.528) Epoch: [70][7990/10010] Time 0.339 (0.327) Data 0.001 (0.001) Loss 1.2766 (1.3870) Prec@1 71.094 (67.827) Prec@5 87.500 (86.529) Epoch: [70][8000/10010] Time 0.322 (0.327) Data 0.001 (0.001) Loss 1.2655 (1.3871) Prec@1 67.969 (67.825) Prec@5 86.719 (86.529) Epoch: [70][8010/10010] Time 0.323 (0.327) Data 0.001 (0.001) Loss 1.3364 (1.3871) Prec@1 70.312 (67.824) Prec@5 87.500 (86.528) Epoch: [70][8020/10010] Time 0.322 (0.327) Data 0.000 (0.001) Loss 1.2972 (1.3871) Prec@1 71.875 (67.825) Prec@5 88.281 (86.528) Epoch: [70][8030/10010] Time 0.320 (0.327) Data 0.001 (0.001) Loss 1.0975 (1.3869) Prec@1 75.000 (67.828) Prec@5 89.062 (86.530) Epoch: [70][8040/10010] Time 0.321 (0.327) Data 0.000 (0.001) Loss 1.1912 (1.3869) Prec@1 70.312 (67.831) Prec@5 91.406 (86.532) Epoch: [70][8050/10010] Time 0.314 (0.327) Data 0.001 (0.001) Loss 1.7253 (1.3869) Prec@1 61.719 (67.830) Prec@5 82.031 (86.531) Epoch: [70][8060/10010] Time 0.330 (0.327) Data 0.000 (0.001) Loss 1.2481 (1.3869) Prec@1 74.219 (67.832) Prec@5 87.500 (86.530) Epoch: [70][8070/10010] Time 0.327 (0.327) Data 0.001 (0.001) Loss 1.3755 (1.3870) Prec@1 67.188 (67.830) Prec@5 86.719 (86.530) Epoch: [70][8080/10010] Time 0.334 (0.327) Data 0.000 (0.001) Loss 1.4657 (1.3870) Prec@1 64.844 (67.830) Prec@5 89.062 (86.529) Epoch: [70][8090/10010] Time 0.319 (0.327) Data 0.001 (0.001) Loss 1.1926 (1.3870) Prec@1 74.219 (67.831) Prec@5 87.500 (86.529) Epoch: [70][8100/10010] Time 0.336 (0.327) Data 0.001 (0.001) Loss 1.3632 (1.3869) Prec@1 69.531 (67.833) Prec@5 85.938 (86.531) Epoch: [70][8110/10010] Time 0.319 (0.327) Data 0.001 (0.001) Loss 1.0443 (1.3869) Prec@1 72.656 (67.836) Prec@5 92.969 (86.532) Epoch: [70][8120/10010] Time 0.338 (0.327) Data 0.001 (0.001) Loss 1.2113 (1.3868) Prec@1 71.875 (67.835) Prec@5 89.062 (86.532) Epoch: [70][8130/10010] Time 0.340 (0.327) Data 0.000 (0.001) Loss 1.2636 (1.3867) Prec@1 68.750 (67.836) Prec@5 90.625 (86.533) Epoch: [70][8140/10010] Time 0.317 (0.327) Data 0.001 (0.001) Loss 1.7936 (1.3869) Prec@1 59.375 (67.833) Prec@5 76.562 (86.531) Epoch: [70][8150/10010] Time 0.316 (0.327) Data 0.001 (0.001) Loss 1.1166 (1.3868) Prec@1 71.875 (67.835) Prec@5 89.062 (86.533) Epoch: [70][8160/10010] Time 0.328 (0.327) Data 0.000 (0.001) Loss 1.2681 (1.3868) Prec@1 71.875 (67.835) Prec@5 88.281 (86.532) Epoch: [70][8170/10010] Time 0.327 (0.327) Data 0.001 (0.001) Loss 1.2210 (1.3867) Prec@1 75.781 (67.838) Prec@5 89.062 (86.533) Epoch: [70][8180/10010] Time 0.321 (0.327) Data 0.001 (0.001) Loss 1.6584 (1.3868) Prec@1 59.375 (67.836) Prec@5 81.250 (86.533) Epoch: [70][8190/10010] Time 0.337 (0.327) Data 0.001 (0.001) Loss 1.1883 (1.3868) Prec@1 73.438 (67.834) Prec@5 89.062 (86.532) Epoch: [70][8200/10010] Time 0.339 (0.327) Data 0.000 (0.001) Loss 1.4913 (1.3867) Prec@1 62.500 (67.836) Prec@5 86.719 (86.534) Epoch: [70][8210/10010] Time 0.325 (0.327) Data 0.000 (0.001) Loss 1.3002 (1.3867) Prec@1 70.312 (67.835) Prec@5 87.500 (86.534) Epoch: [70][8220/10010] Time 0.323 (0.327) Data 0.000 (0.001) Loss 1.4141 (1.3868) Prec@1 66.406 (67.833) Prec@5 86.719 (86.534) Epoch: [70][8230/10010] Time 0.341 (0.327) Data 0.001 (0.001) Loss 1.1916 (1.3868) Prec@1 72.656 (67.834) Prec@5 90.625 (86.533) Epoch: [70][8240/10010] Time 0.318 (0.327) Data 0.000 (0.001) Loss 1.4949 (1.3867) Prec@1 64.062 (67.835) Prec@5 88.281 (86.534) Epoch: [70][8250/10010] Time 0.326 (0.327) Data 0.000 (0.001) Loss 1.2007 (1.3868) Prec@1 70.312 (67.833) Prec@5 89.062 (86.532) Epoch: [70][8260/10010] Time 0.334 (0.327) Data 0.001 (0.001) Loss 1.5888 (1.3869) Prec@1 62.500 (67.830) Prec@5 86.719 (86.532) Epoch: [70][8270/10010] Time 0.323 (0.327) Data 0.000 (0.001) Loss 1.2983 (1.3868) Prec@1 60.938 (67.829) Prec@5 86.719 (86.532) Epoch: [70][8280/10010] Time 0.325 (0.327) Data 0.000 (0.001) Loss 1.5099 (1.3868) Prec@1 64.844 (67.829) Prec@5 88.281 (86.533) Epoch: [70][8290/10010] Time 0.333 (0.327) Data 0.001 (0.001) Loss 1.0913 (1.3868) Prec@1 76.562 (67.832) Prec@5 89.844 (86.533) Epoch: [70][8300/10010] Time 0.324 (0.327) Data 0.001 (0.001) Loss 1.2293 (1.3868) Prec@1 71.875 (67.831) Prec@5 87.500 (86.532) Epoch: [70][8310/10010] Time 0.331 (0.327) Data 0.001 (0.001) Loss 1.4477 (1.3869) Prec@1 67.969 (67.831) Prec@5 85.938 (86.530) Epoch: [70][8320/10010] Time 0.340 (0.327) Data 0.001 (0.001) Loss 1.1931 (1.3869) Prec@1 66.406 (67.830) Prec@5 89.844 (86.530) Epoch: [70][8330/10010] Time 0.332 (0.327) Data 0.000 (0.001) Loss 1.3755 (1.3867) Prec@1 66.406 (67.832) Prec@5 86.719 (86.531) Epoch: [70][8340/10010] Time 0.325 (0.327) Data 0.000 (0.001) Loss 1.1903 (1.3867) Prec@1 69.531 (67.835) Prec@5 89.062 (86.533) Epoch: [70][8350/10010] Time 0.317 (0.327) Data 0.001 (0.001) Loss 1.3675 (1.3867) Prec@1 73.438 (67.836) Prec@5 87.500 (86.532) Epoch: [70][8360/10010] Time 0.323 (0.327) Data 0.001 (0.001) Loss 1.3971 (1.3867) Prec@1 71.094 (67.838) Prec@5 89.062 (86.532) Epoch: [70][8370/10010] Time 0.326 (0.327) Data 0.000 (0.001) Loss 1.5308 (1.3867) Prec@1 65.625 (67.839) Prec@5 84.375 (86.532) Epoch: [70][8380/10010] Time 0.317 (0.327) Data 0.001 (0.001) Loss 1.4911 (1.3866) Prec@1 68.750 (67.839) Prec@5 85.156 (86.532) Epoch: [70][8390/10010] Time 0.317 (0.327) Data 0.001 (0.001) Loss 1.3592 (1.3865) Prec@1 69.531 (67.840) Prec@5 86.719 (86.533) Epoch: [70][8400/10010] Time 0.334 (0.327) Data 0.000 (0.001) Loss 1.6741 (1.3866) Prec@1 67.188 (67.839) Prec@5 81.250 (86.532) Epoch: [70][8410/10010] Time 0.332 (0.327) Data 0.001 (0.001) Loss 1.7325 (1.3866) Prec@1 58.594 (67.838) Prec@5 81.250 (86.532) Epoch: [70][8420/10010] Time 0.314 (0.327) Data 0.001 (0.001) Loss 1.4294 (1.3867) Prec@1 64.844 (67.838) Prec@5 85.156 (86.532) Epoch: [70][8430/10010] Time 0.340 (0.327) Data 0.001 (0.001) Loss 1.4353 (1.3866) Prec@1 64.844 (67.842) Prec@5 85.938 (86.532) Epoch: [70][8440/10010] Time 0.340 (0.327) Data 0.000 (0.001) Loss 1.1534 (1.3865) Prec@1 75.000 (67.843) Prec@5 88.281 (86.533) Epoch: [70][8450/10010] Time 0.338 (0.327) Data 0.000 (0.001) Loss 1.5298 (1.3866) Prec@1 66.406 (67.841) Prec@5 83.594 (86.530) Epoch: [70][8460/10010] Time 0.325 (0.327) Data 0.001 (0.001) Loss 1.2557 (1.3866) Prec@1 67.969 (67.842) Prec@5 88.281 (86.529) Epoch: [70][8470/10010] Time 0.338 (0.327) Data 0.000 (0.001) Loss 1.2727 (1.3867) Prec@1 63.281 (67.838) Prec@5 92.188 (86.528) Epoch: [70][8480/10010] Time 0.319 (0.327) Data 0.001 (0.001) Loss 1.6734 (1.3868) Prec@1 59.375 (67.837) Prec@5 85.938 (86.528) Epoch: [70][8490/10010] Time 0.325 (0.327) Data 0.001 (0.001) Loss 1.1961 (1.3867) Prec@1 70.312 (67.839) Prec@5 92.188 (86.529) Epoch: [70][8500/10010] Time 0.321 (0.327) Data 0.001 (0.001) Loss 1.4963 (1.3867) Prec@1 65.625 (67.838) Prec@5 85.156 (86.529) Epoch: [70][8510/10010] Time 0.334 (0.327) Data 0.001 (0.001) Loss 1.2408 (1.3867) Prec@1 69.531 (67.837) Prec@5 87.500 (86.530) Epoch: [70][8520/10010] Time 0.322 (0.327) Data 0.000 (0.001) Loss 1.2812 (1.3867) Prec@1 72.656 (67.838) Prec@5 89.062 (86.530) Epoch: [70][8530/10010] Time 0.336 (0.327) Data 0.001 (0.001) Loss 1.8264 (1.3867) Prec@1 61.719 (67.836) Prec@5 79.688 (86.530) Epoch: [70][8540/10010] Time 0.335 (0.327) Data 0.001 (0.001) Loss 1.4901 (1.3866) Prec@1 68.750 (67.838) Prec@5 86.719 (86.531) Epoch: [70][8550/10010] Time 0.340 (0.327) Data 0.000 (0.001) Loss 1.3438 (1.3866) Prec@1 67.969 (67.837) Prec@5 88.281 (86.531) Epoch: [70][8560/10010] Time 0.334 (0.327) Data 0.001 (0.001) Loss 1.6115 (1.3866) Prec@1 62.500 (67.840) Prec@5 82.031 (86.534) Epoch: [70][8570/10010] Time 0.319 (0.327) Data 0.001 (0.001) Loss 1.4845 (1.3867) Prec@1 66.406 (67.838) Prec@5 88.281 (86.532) Epoch: [70][8580/10010] Time 0.317 (0.327) Data 0.001 (0.001) Loss 1.3952 (1.3867) Prec@1 66.406 (67.838) Prec@5 88.281 (86.531) Epoch: [70][8590/10010] Time 0.338 (0.327) Data 0.000 (0.001) Loss 1.4818 (1.3867) Prec@1 63.281 (67.837) Prec@5 83.594 (86.530) Epoch: [70][8600/10010] Time 0.333 (0.327) Data 0.001 (0.001) Loss 1.2700 (1.3866) Prec@1 71.094 (67.841) Prec@5 88.281 (86.532) Epoch: [70][8610/10010] Time 0.325 (0.327) Data 0.001 (0.001) Loss 1.1848 (1.3866) Prec@1 68.750 (67.841) Prec@5 90.625 (86.532) Epoch: [70][8620/10010] Time 0.332 (0.327) Data 0.001 (0.001) Loss 1.4658 (1.3865) Prec@1 66.406 (67.843) Prec@5 88.281 (86.532) Epoch: [70][8630/10010] Time 0.327 (0.327) Data 0.001 (0.001) Loss 1.4078 (1.3865) Prec@1 67.969 (67.840) Prec@5 86.719 (86.531) Epoch: [70][8640/10010] Time 0.335 (0.327) Data 0.000 (0.001) Loss 1.5645 (1.3866) Prec@1 65.625 (67.838) Prec@5 85.938 (86.531) Epoch: [70][8650/10010] Time 0.333 (0.327) Data 0.001 (0.001) Loss 1.4032 (1.3867) Prec@1 63.281 (67.837) Prec@5 84.375 (86.528) Epoch: [70][8660/10010] Time 0.322 (0.327) Data 0.000 (0.001) Loss 0.9512 (1.3867) Prec@1 78.906 (67.836) Prec@5 92.188 (86.528) Epoch: [70][8670/10010] Time 0.317 (0.327) Data 0.000 (0.001) Loss 1.5633 (1.3868) Prec@1 67.188 (67.835) Prec@5 85.938 (86.527) Epoch: [70][8680/10010] Time 0.337 (0.327) Data 0.001 (0.001) Loss 1.5019 (1.3868) Prec@1 65.625 (67.836) Prec@5 87.500 (86.527) Epoch: [70][8690/10010] Time 0.334 (0.327) Data 0.000 (0.001) Loss 1.4911 (1.3868) Prec@1 64.844 (67.836) Prec@5 84.375 (86.527) Epoch: [70][8700/10010] Time 0.327 (0.327) Data 0.001 (0.001) Loss 1.3231 (1.3867) Prec@1 71.094 (67.837) Prec@5 88.281 (86.528) Epoch: [70][8710/10010] Time 0.317 (0.327) Data 0.000 (0.001) Loss 1.2678 (1.3866) Prec@1 68.750 (67.838) Prec@5 89.844 (86.530) Epoch: [70][8720/10010] Time 0.320 (0.327) Data 0.001 (0.001) Loss 1.3194 (1.3867) Prec@1 68.750 (67.837) Prec@5 89.844 (86.531) Epoch: [70][8730/10010] Time 0.337 (0.327) Data 0.001 (0.001) Loss 1.3251 (1.3866) Prec@1 68.750 (67.839) Prec@5 89.062 (86.533) Epoch: [70][8740/10010] Time 0.321 (0.327) Data 0.001 (0.001) Loss 1.3288 (1.3866) Prec@1 67.188 (67.839) Prec@5 86.719 (86.533) Epoch: [70][8750/10010] Time 0.330 (0.327) Data 0.001 (0.001) Loss 1.2908 (1.3866) Prec@1 67.969 (67.838) Prec@5 88.281 (86.533) Epoch: [70][8760/10010] Time 0.314 (0.327) Data 0.001 (0.001) Loss 1.4247 (1.3866) Prec@1 64.062 (67.838) Prec@5 85.938 (86.533) Epoch: [70][8770/10010] Time 0.340 (0.327) Data 0.001 (0.001) Loss 1.5174 (1.3866) Prec@1 67.188 (67.838) Prec@5 85.938 (86.532) Epoch: [70][8780/10010] Time 0.329 (0.327) Data 0.001 (0.001) Loss 1.3506 (1.3867) Prec@1 71.094 (67.836) Prec@5 85.156 (86.531) Epoch: [70][8790/10010] Time 0.333 (0.327) Data 0.001 (0.001) Loss 1.7616 (1.3867) Prec@1 61.719 (67.836) Prec@5 78.906 (86.530) Epoch: [70][8800/10010] Time 0.333 (0.327) Data 0.000 (0.001) Loss 1.3835 (1.3868) Prec@1 65.625 (67.834) Prec@5 86.719 (86.530) Epoch: [70][8810/10010] Time 0.330 (0.327) Data 0.001 (0.001) Loss 1.2971 (1.3868) Prec@1 65.625 (67.835) Prec@5 86.719 (86.530) Epoch: [70][8820/10010] Time 0.331 (0.327) Data 0.000 (0.001) Loss 1.5664 (1.3868) Prec@1 63.281 (67.835) Prec@5 83.594 (86.529) Epoch: [70][8830/10010] Time 0.327 (0.327) Data 0.000 (0.001) Loss 1.3174 (1.3868) Prec@1 67.188 (67.833) Prec@5 89.062 (86.530) Epoch: [70][8840/10010] Time 0.336 (0.327) Data 0.001 (0.001) Loss 1.4900 (1.3868) Prec@1 70.312 (67.833) Prec@5 85.156 (86.530) Epoch: [70][8850/10010] Time 0.312 (0.327) Data 0.001 (0.001) Loss 1.3691 (1.3868) Prec@1 65.625 (67.834) Prec@5 85.938 (86.529) Epoch: [70][8860/10010] Time 0.318 (0.327) Data 0.001 (0.001) Loss 1.7016 (1.3868) Prec@1 61.719 (67.836) Prec@5 83.594 (86.530) Epoch: [70][8870/10010] Time 0.324 (0.327) Data 0.001 (0.001) Loss 1.5423 (1.3868) Prec@1 66.406 (67.835) Prec@5 88.281 (86.530) Epoch: [70][8880/10010] Time 0.315 (0.327) Data 0.001 (0.001) Loss 1.6026 (1.3869) Prec@1 63.281 (67.832) Prec@5 82.031 (86.528) Epoch: [70][8890/10010] Time 0.316 (0.327) Data 0.001 (0.001) Loss 1.5151 (1.3870) Prec@1 71.094 (67.831) Prec@5 85.156 (86.526) Epoch: [70][8900/10010] Time 0.329 (0.327) Data 0.001 (0.001) Loss 1.3049 (1.3871) Prec@1 69.531 (67.832) Prec@5 90.625 (86.526) Epoch: [70][8910/10010] Time 0.317 (0.327) Data 0.001 (0.001) Loss 1.1567 (1.3869) Prec@1 66.406 (67.833) Prec@5 92.188 (86.529) Epoch: [70][8920/10010] Time 0.312 (0.327) Data 0.000 (0.001) Loss 1.3664 (1.3869) Prec@1 71.875 (67.833) Prec@5 88.281 (86.529) Epoch: [70][8930/10010] Time 0.326 (0.327) Data 0.001 (0.001) Loss 1.4361 (1.3870) Prec@1 67.969 (67.832) Prec@5 82.031 (86.528) Epoch: [70][8940/10010] Time 0.329 (0.327) Data 0.001 (0.001) Loss 1.1608 (1.3870) Prec@1 73.438 (67.834) Prec@5 91.406 (86.527) Epoch: [70][8950/10010] Time 0.326 (0.327) Data 0.000 (0.001) Loss 1.6847 (1.3870) Prec@1 56.250 (67.832) Prec@5 84.375 (86.528) Epoch: [70][8960/10010] Time 0.319 (0.327) Data 0.001 (0.001) Loss 1.5603 (1.3870) Prec@1 63.281 (67.832) Prec@5 85.156 (86.528) Epoch: [70][8970/10010] Time 0.312 (0.327) Data 0.001 (0.001) Loss 1.6595 (1.3870) Prec@1 64.062 (67.832) Prec@5 85.938 (86.528) Epoch: [70][8980/10010] Time 0.318 (0.327) Data 0.001 (0.001) Loss 1.6473 (1.3870) Prec@1 64.844 (67.832) Prec@5 81.250 (86.527) Epoch: [70][8990/10010] Time 0.319 (0.327) Data 0.001 (0.001) Loss 1.4216 (1.3870) Prec@1 67.188 (67.832) Prec@5 85.156 (86.526) Epoch: [70][9000/10010] Time 0.316 (0.327) Data 0.000 (0.001) Loss 1.5442 (1.3870) Prec@1 64.062 (67.830) Prec@5 84.375 (86.525) Epoch: [70][9010/10010] Time 0.313 (0.327) Data 0.001 (0.001) Loss 1.2911 (1.3870) Prec@1 65.625 (67.831) Prec@5 89.844 (86.526) Epoch: [70][9020/10010] Time 0.328 (0.327) Data 0.001 (0.001) Loss 1.2256 (1.3871) Prec@1 68.750 (67.829) Prec@5 90.625 (86.526) Epoch: [70][9030/10010] Time 0.326 (0.327) Data 0.001 (0.001) Loss 1.4497 (1.3871) Prec@1 63.281 (67.828) Prec@5 86.719 (86.526) Epoch: [70][9040/10010] Time 0.317 (0.327) Data 0.000 (0.001) Loss 1.4492 (1.3870) Prec@1 62.500 (67.828) Prec@5 85.156 (86.526) Epoch: [70][9050/10010] Time 0.333 (0.327) Data 0.001 (0.001) Loss 1.3903 (1.3871) Prec@1 62.500 (67.826) Prec@5 87.500 (86.525) Epoch: [70][9060/10010] Time 0.311 (0.327) Data 0.001 (0.001) Loss 1.2889 (1.3870) Prec@1 67.969 (67.829) Prec@5 87.500 (86.526) Epoch: [70][9070/10010] Time 0.321 (0.327) Data 0.001 (0.001) Loss 1.4666 (1.3870) Prec@1 65.625 (67.827) Prec@5 85.156 (86.526) Epoch: [70][9080/10010] Time 0.312 (0.327) Data 0.001 (0.001) Loss 1.4051 (1.3871) Prec@1 73.438 (67.827) Prec@5 83.594 (86.525) Epoch: [70][9090/10010] Time 0.335 (0.327) Data 0.001 (0.001) Loss 1.3817 (1.3871) Prec@1 67.969 (67.828) Prec@5 87.500 (86.526) Epoch: [70][9100/10010] Time 0.317 (0.327) Data 0.001 (0.001) Loss 1.1978 (1.3869) Prec@1 67.188 (67.833) Prec@5 90.625 (86.528) Epoch: [70][9110/10010] Time 0.326 (0.327) Data 0.000 (0.001) Loss 1.3417 (1.3868) Prec@1 69.531 (67.833) Prec@5 85.156 (86.529) Epoch: [70][9120/10010] Time 0.336 (0.327) Data 0.000 (0.001) Loss 1.2975 (1.3869) Prec@1 71.094 (67.832) Prec@5 86.719 (86.527) Epoch: [70][9130/10010] Time 0.338 (0.327) Data 0.000 (0.001) Loss 1.3983 (1.3869) Prec@1 66.406 (67.830) Prec@5 86.719 (86.527) Epoch: [70][9140/10010] Time 0.335 (0.327) Data 0.001 (0.001) Loss 1.6778 (1.3870) Prec@1 60.938 (67.828) Prec@5 77.344 (86.527) Epoch: [70][9150/10010] Time 0.326 (0.327) Data 0.000 (0.001) Loss 1.3675 (1.3871) Prec@1 72.656 (67.825) Prec@5 85.156 (86.525) Epoch: [70][9160/10010] Time 0.319 (0.327) Data 0.000 (0.001) Loss 1.2103 (1.3870) Prec@1 70.312 (67.828) Prec@5 90.625 (86.526) Epoch: [70][9170/10010] Time 0.318 (0.327) Data 0.001 (0.001) Loss 1.3520 (1.3870) Prec@1 70.312 (67.829) Prec@5 87.500 (86.526) Epoch: [70][9180/10010] Time 0.320 (0.327) Data 0.001 (0.001) Loss 1.1933 (1.3869) Prec@1 74.219 (67.829) Prec@5 89.844 (86.526) Epoch: [70][9190/10010] Time 0.327 (0.327) Data 0.001 (0.001) Loss 1.4252 (1.3871) Prec@1 68.750 (67.828) Prec@5 82.812 (86.525) Epoch: [70][9200/10010] Time 0.335 (0.327) Data 0.000 (0.001) Loss 1.6216 (1.3871) Prec@1 67.188 (67.828) Prec@5 84.375 (86.525) Epoch: [70][9210/10010] Time 0.326 (0.327) Data 0.001 (0.001) Loss 1.3562 (1.3871) Prec@1 67.188 (67.828) Prec@5 88.281 (86.526) Epoch: [70][9220/10010] Time 0.339 (0.327) Data 0.001 (0.001) Loss 1.4212 (1.3871) Prec@1 69.531 (67.829) Prec@5 88.281 (86.526) Epoch: [70][9230/10010] Time 0.328 (0.327) Data 0.001 (0.001) Loss 1.3360 (1.3872) Prec@1 71.875 (67.828) Prec@5 86.719 (86.526) Epoch: [70][9240/10010] Time 0.318 (0.327) Data 0.000 (0.001) Loss 1.4475 (1.3872) Prec@1 65.625 (67.827) Prec@5 86.719 (86.526) Epoch: [70][9250/10010] Time 0.319 (0.327) Data 0.001 (0.001) Loss 1.4011 (1.3872) Prec@1 70.312 (67.826) Prec@5 88.281 (86.526) Epoch: [70][9260/10010] Time 0.316 (0.327) Data 0.000 (0.001) Loss 1.2837 (1.3873) Prec@1 71.875 (67.823) Prec@5 88.281 (86.525) Epoch: [70][9270/10010] Time 0.336 (0.327) Data 0.001 (0.001) Loss 1.2483 (1.3873) Prec@1 65.625 (67.822) Prec@5 89.062 (86.524) Epoch: [70][9280/10010] Time 0.316 (0.327) Data 0.000 (0.001) Loss 1.8562 (1.3874) Prec@1 57.031 (67.820) Prec@5 77.344 (86.523) Epoch: [70][9290/10010] Time 0.313 (0.327) Data 0.000 (0.001) Loss 1.5971 (1.3874) Prec@1 64.844 (67.821) Prec@5 80.469 (86.522) Epoch: [70][9300/10010] Time 0.333 (0.327) Data 0.001 (0.001) Loss 1.3357 (1.3874) Prec@1 67.188 (67.822) Prec@5 84.375 (86.522) Epoch: [70][9310/10010] Time 0.325 (0.327) Data 0.000 (0.001) Loss 1.3018 (1.3874) Prec@1 64.844 (67.819) Prec@5 92.188 (86.522) Epoch: [70][9320/10010] Time 0.326 (0.327) Data 0.001 (0.001) Loss 1.2848 (1.3874) Prec@1 67.969 (67.818) Prec@5 90.625 (86.522) Epoch: [70][9330/10010] Time 0.329 (0.327) Data 0.000 (0.001) Loss 1.5550 (1.3874) Prec@1 67.188 (67.817) Prec@5 85.938 (86.523) Epoch: [70][9340/10010] Time 0.332 (0.327) Data 0.001 (0.001) Loss 1.4924 (1.3875) Prec@1 66.406 (67.816) Prec@5 82.812 (86.520) Epoch: [70][9350/10010] Time 0.317 (0.327) Data 0.000 (0.001) Loss 1.1972 (1.3875) Prec@1 70.312 (67.817) Prec@5 89.844 (86.521) Epoch: [70][9360/10010] Time 0.315 (0.327) Data 0.000 (0.001) Loss 1.1787 (1.3874) Prec@1 71.094 (67.819) Prec@5 91.406 (86.522) Epoch: [70][9370/10010] Time 0.317 (0.327) Data 0.001 (0.001) Loss 1.4115 (1.3874) Prec@1 69.531 (67.818) Prec@5 88.281 (86.522) Epoch: [70][9380/10010] Time 0.338 (0.327) Data 0.000 (0.001) Loss 1.4651 (1.3875) Prec@1 63.281 (67.816) Prec@5 87.500 (86.522) Epoch: [70][9390/10010] Time 0.334 (0.327) Data 0.000 (0.001) Loss 1.1425 (1.3875) Prec@1 72.656 (67.816) Prec@5 89.062 (86.522) Epoch: [70][9400/10010] Time 0.336 (0.327) Data 0.000 (0.001) Loss 1.5134 (1.3875) Prec@1 60.938 (67.816) Prec@5 87.500 (86.524) Epoch: [70][9410/10010] Time 0.314 (0.327) Data 0.001 (0.001) Loss 1.4757 (1.3875) Prec@1 64.062 (67.816) Prec@5 85.156 (86.524) Epoch: [70][9420/10010] Time 0.335 (0.327) Data 0.001 (0.001) Loss 1.1480 (1.3874) Prec@1 70.312 (67.816) Prec@5 90.625 (86.525) Epoch: [70][9430/10010] Time 0.319 (0.327) Data 0.001 (0.001) Loss 1.4653 (1.3875) Prec@1 67.969 (67.815) Prec@5 85.938 (86.524) Epoch: [70][9440/10010] Time 0.319 (0.327) Data 0.001 (0.001) Loss 1.0972 (1.3874) Prec@1 75.000 (67.817) Prec@5 92.188 (86.525) Epoch: [70][9450/10010] Time 0.321 (0.327) Data 0.001 (0.001) Loss 1.3871 (1.3875) Prec@1 70.312 (67.815) Prec@5 87.500 (86.523) Epoch: [70][9460/10010] Time 0.330 (0.327) Data 0.000 (0.001) Loss 1.3029 (1.3874) Prec@1 64.062 (67.815) Prec@5 85.156 (86.525) Epoch: [70][9470/10010] Time 0.322 (0.327) Data 0.001 (0.001) Loss 1.5071 (1.3874) Prec@1 63.281 (67.815) Prec@5 85.938 (86.525) Epoch: [70][9480/10010] Time 0.342 (0.327) Data 0.000 (0.001) Loss 1.5187 (1.3874) Prec@1 64.844 (67.813) Prec@5 82.812 (86.525) Epoch: [70][9490/10010] Time 0.333 (0.327) Data 0.001 (0.001) Loss 1.3576 (1.3873) Prec@1 66.406 (67.814) Prec@5 85.156 (86.526) Epoch: [70][9500/10010] Time 0.336 (0.327) Data 0.000 (0.001) Loss 1.2635 (1.3874) Prec@1 67.969 (67.814) Prec@5 89.062 (86.526) Epoch: [70][9510/10010] Time 0.341 (0.327) Data 0.000 (0.001) Loss 1.3014 (1.3874) Prec@1 71.094 (67.815) Prec@5 86.719 (86.524) Epoch: [70][9520/10010] Time 0.331 (0.327) Data 0.001 (0.001) Loss 1.9741 (1.3875) Prec@1 58.594 (67.815) Prec@5 85.156 (86.525) Epoch: [70][9530/10010] Time 0.320 (0.327) Data 0.001 (0.001) Loss 1.2699 (1.3876) Prec@1 67.188 (67.814) Prec@5 85.156 (86.523) Epoch: [70][9540/10010] Time 0.334 (0.327) Data 0.001 (0.001) Loss 1.0117 (1.3875) Prec@1 74.219 (67.814) Prec@5 92.188 (86.524) Epoch: [70][9550/10010] Time 0.336 (0.327) Data 0.000 (0.001) Loss 1.5163 (1.3876) Prec@1 67.188 (67.813) Prec@5 84.375 (86.522) Epoch: [70][9560/10010] Time 0.322 (0.327) Data 0.000 (0.001) Loss 1.1978 (1.3877) Prec@1 71.875 (67.812) Prec@5 89.062 (86.522) Epoch: [70][9570/10010] Time 0.321 (0.327) Data 0.000 (0.001) Loss 1.4246 (1.3877) Prec@1 67.969 (67.811) Prec@5 87.500 (86.521) Epoch: [70][9580/10010] Time 0.322 (0.327) Data 0.000 (0.001) Loss 1.3584 (1.3877) Prec@1 64.062 (67.810) Prec@5 88.281 (86.522) Epoch: [70][9590/10010] Time 0.333 (0.327) Data 0.001 (0.001) Loss 1.5033 (1.3877) Prec@1 64.062 (67.810) Prec@5 84.375 (86.522) Epoch: [70][9600/10010] Time 0.320 (0.327) Data 0.001 (0.001) Loss 1.3565 (1.3877) Prec@1 67.188 (67.811) Prec@5 88.281 (86.521) Epoch: [70][9610/10010] Time 0.319 (0.327) Data 0.001 (0.001) Loss 1.4048 (1.3877) Prec@1 72.656 (67.811) Prec@5 82.812 (86.520) Epoch: [70][9620/10010] Time 0.321 (0.327) Data 0.001 (0.001) Loss 1.3956 (1.3878) Prec@1 68.750 (67.811) Prec@5 84.375 (86.519) Epoch: [70][9630/10010] Time 0.325 (0.327) Data 0.000 (0.001) Loss 1.2491 (1.3878) Prec@1 71.875 (67.812) Prec@5 89.062 (86.519) Epoch: [70][9640/10010] Time 0.320 (0.327) Data 0.000 (0.001) Loss 1.1622 (1.3877) Prec@1 69.531 (67.813) Prec@5 88.281 (86.520) Epoch: [70][9650/10010] Time 0.334 (0.327) Data 0.001 (0.001) Loss 1.3389 (1.3878) Prec@1 70.312 (67.811) Prec@5 87.500 (86.519) Epoch: [70][9660/10010] Time 0.330 (0.327) Data 0.000 (0.001) Loss 1.6243 (1.3878) Prec@1 65.625 (67.810) Prec@5 82.812 (86.520) Epoch: [70][9670/10010] Time 0.323 (0.327) Data 0.000 (0.001) Loss 1.3685 (1.3878) Prec@1 68.750 (67.810) Prec@5 87.500 (86.521) Epoch: [70][9680/10010] Time 0.321 (0.327) Data 0.000 (0.001) Loss 1.3179 (1.3877) Prec@1 71.875 (67.810) Prec@5 87.500 (86.520) Epoch: [70][9690/10010] Time 0.335 (0.327) Data 0.000 (0.001) Loss 1.3576 (1.3877) Prec@1 69.531 (67.811) Prec@5 85.156 (86.520) Epoch: [70][9700/10010] Time 0.323 (0.327) Data 0.000 (0.001) Loss 1.5456 (1.3878) Prec@1 64.062 (67.811) Prec@5 82.812 (86.519) Epoch: [70][9710/10010] Time 0.320 (0.327) Data 0.001 (0.001) Loss 1.3285 (1.3878) Prec@1 67.188 (67.811) Prec@5 84.375 (86.518) Epoch: [70][9720/10010] Time 0.318 (0.327) Data 0.001 (0.001) Loss 1.1848 (1.3878) Prec@1 68.750 (67.812) Prec@5 90.625 (86.520) Epoch: [70][9730/10010] Time 0.339 (0.327) Data 0.001 (0.001) Loss 1.7028 (1.3878) Prec@1 67.969 (67.812) Prec@5 83.594 (86.520) Epoch: [70][9740/10010] Time 0.310 (0.327) Data 0.001 (0.001) Loss 1.0041 (1.3877) Prec@1 73.438 (67.813) Prec@5 92.188 (86.520) Epoch: [70][9750/10010] Time 0.320 (0.327) Data 0.001 (0.001) Loss 1.6084 (1.3878) Prec@1 64.844 (67.812) Prec@5 80.469 (86.519) Epoch: [70][9760/10010] Time 0.314 (0.327) Data 0.001 (0.001) Loss 1.5793 (1.3878) Prec@1 63.281 (67.812) Prec@5 81.250 (86.519) Epoch: [70][9770/10010] Time 0.339 (0.327) Data 0.001 (0.001) Loss 1.5155 (1.3877) Prec@1 64.062 (67.811) Prec@5 89.844 (86.520) Epoch: [70][9780/10010] Time 0.340 (0.327) Data 0.000 (0.001) Loss 1.6123 (1.3878) Prec@1 62.500 (67.810) Prec@5 85.938 (86.520) Epoch: [70][9790/10010] Time 0.316 (0.327) Data 0.001 (0.001) Loss 1.3321 (1.3879) Prec@1 66.406 (67.809) Prec@5 92.188 (86.519) Epoch: [70][9800/10010] Time 0.319 (0.327) Data 0.001 (0.001) Loss 1.3705 (1.3879) Prec@1 65.625 (67.808) Prec@5 86.719 (86.519) Epoch: [70][9810/10010] Time 0.328 (0.327) Data 0.001 (0.001) Loss 1.6139 (1.3879) Prec@1 67.188 (67.810) Prec@5 81.250 (86.519) Epoch: [70][9820/10010] Time 0.326 (0.327) Data 0.001 (0.001) Loss 1.5085 (1.3879) Prec@1 65.625 (67.809) Prec@5 82.812 (86.519) Epoch: [70][9830/10010] Time 0.340 (0.327) Data 0.000 (0.001) Loss 1.1664 (1.3878) Prec@1 75.000 (67.812) Prec@5 90.625 (86.520) Epoch: [70][9840/10010] Time 0.321 (0.327) Data 0.001 (0.001) Loss 1.4486 (1.3877) Prec@1 64.062 (67.814) Prec@5 85.156 (86.520) Epoch: [70][9850/10010] Time 0.335 (0.327) Data 0.001 (0.001) Loss 1.2280 (1.3876) Prec@1 69.531 (67.814) Prec@5 88.281 (86.521) Epoch: [70][9860/10010] Time 0.313 (0.327) Data 0.001 (0.001) Loss 1.3688 (1.3876) Prec@1 69.531 (67.816) Prec@5 89.062 (86.523) Epoch: [70][9870/10010] Time 0.321 (0.327) Data 0.001 (0.001) Loss 1.3927 (1.3875) Prec@1 68.750 (67.816) Prec@5 86.719 (86.523) Epoch: [70][9880/10010] Time 0.320 (0.327) Data 0.001 (0.001) Loss 1.4443 (1.3875) Prec@1 68.750 (67.816) Prec@5 84.375 (86.523) Epoch: [70][9890/10010] Time 0.329 (0.327) Data 0.001 (0.001) Loss 1.6887 (1.3876) Prec@1 63.281 (67.816) Prec@5 82.812 (86.521) Epoch: [70][9900/10010] Time 0.328 (0.327) Data 0.001 (0.001) Loss 1.6199 (1.3876) Prec@1 64.062 (67.817) Prec@5 82.031 (86.521) Epoch: [70][9910/10010] Time 0.342 (0.327) Data 0.000 (0.001) Loss 1.5724 (1.3875) Prec@1 65.625 (67.817) Prec@5 81.250 (86.521) Epoch: [70][9920/10010] Time 0.340 (0.327) Data 0.001 (0.001) Loss 1.2401 (1.3875) Prec@1 72.656 (67.818) Prec@5 88.281 (86.521) Epoch: [70][9930/10010] Time 0.333 (0.327) Data 0.000 (0.001) Loss 1.4730 (1.3875) Prec@1 68.750 (67.819) Prec@5 85.156 (86.521) Epoch: [70][9940/10010] Time 0.319 (0.327) Data 0.000 (0.001) Loss 1.6519 (1.3875) Prec@1 64.062 (67.817) Prec@5 83.594 (86.520) Epoch: [70][9950/10010] Time 0.325 (0.327) Data 0.001 (0.001) Loss 1.5097 (1.3876) Prec@1 66.406 (67.816) Prec@5 82.031 (86.519) Epoch: [70][9960/10010] Time 0.319 (0.327) Data 0.000 (0.001) Loss 1.2777 (1.3876) Prec@1 68.750 (67.816) Prec@5 89.062 (86.520) Epoch: [70][9970/10010] Time 0.318 (0.327) Data 0.000 (0.001) Loss 1.1446 (1.3876) Prec@1 74.219 (67.816) Prec@5 90.625 (86.519) Epoch: [70][9980/10010] Time 0.313 (0.327) Data 0.001 (0.001) Loss 1.6058 (1.3876) Prec@1 63.281 (67.815) Prec@5 84.375 (86.520) Epoch: [70][9990/10010] Time 0.320 (0.327) Data 0.000 (0.001) Loss 1.4710 (1.3877) Prec@1 64.844 (67.814) Prec@5 83.594 (86.517) Epoch: [70][10000/10010] Time 0.332 (0.327) Data 0.000 (0.001) Loss 1.4697 (1.3876) Prec@1 64.062 (67.815) Prec@5 87.500 (86.518) Test: [0/391] Time 1.364 (1.364) Loss 0.6857 (0.6857) Prec@1 84.375 (84.375) Prec@5 95.312 (95.312) Test: [10/391] Time 0.118 (0.224) Loss 1.1657 (0.6140) Prec@1 71.875 (84.517) Prec@5 89.844 (95.739) Test: [20/391] Time 0.107 (0.168) Loss 0.8284 (0.8756) Prec@1 77.344 (77.567) Prec@5 92.188 (92.969) Test: [30/391] Time 0.110 (0.148) Loss 1.6048 (1.0105) Prec@1 68.750 (74.219) Prec@5 87.500 (92.061) Test: [40/391] Time 0.110 (0.138) Loss 0.8678 (0.9068) Prec@1 80.469 (76.963) Prec@5 89.062 (92.931) Test: [50/391] Time 0.104 (0.133) Loss 0.5276 (0.9403) Prec@1 85.938 (76.517) Prec@5 96.875 (92.417) Test: [60/391] Time 0.104 (0.129) Loss 0.9561 (0.8858) Prec@1 78.906 (77.894) Prec@5 92.188 (93.007) Test: [70/391] Time 0.115 (0.126) Loss 1.2154 (0.9167) Prec@1 64.062 (76.838) Prec@5 93.750 (92.958) Test: [80/391] Time 0.112 (0.124) Loss 0.8492 (0.9325) Prec@1 80.469 (76.042) Prec@5 93.750 (92.998) Test: [90/391] Time 0.099 (0.123) Loss 1.0875 (0.9351) Prec@1 65.625 (75.919) Prec@5 93.750 (93.080) Test: [100/391] Time 0.110 (0.121) Loss 0.6413 (0.9279) Prec@1 81.250 (75.789) Prec@5 96.875 (93.340) Test: [110/391] Time 0.102 (0.120) Loss 1.2338 (0.9302) Prec@1 52.344 (75.493) Prec@5 96.094 (93.490) Test: [120/391] Time 0.108 (0.119) Loss 0.6801 (0.9245) Prec@1 82.812 (75.736) Prec@5 97.656 (93.563) Test: [130/391] Time 0.106 (0.117) Loss 0.4525 (0.9206) Prec@1 89.844 (75.942) Prec@5 96.875 (93.613) Test: [140/391] Time 0.104 (0.117) Loss 1.2350 (0.9190) Prec@1 66.406 (75.887) Prec@5 91.406 (93.645) Test: [150/391] Time 0.108 (0.116) Loss 0.9194 (0.9245) Prec@1 68.750 (75.849) Prec@5 95.312 (93.517) Test: [160/391] Time 0.105 (0.115) Loss 1.0227 (0.9332) Prec@1 68.750 (75.636) Prec@5 92.188 (93.430) Test: [170/391] Time 0.112 (0.115) Loss 1.7824 (0.9631) Prec@1 58.594 (75.132) Prec@5 86.719 (93.088) Test: [180/391] Time 0.110 (0.114) Loss 2.0846 (0.9957) Prec@1 48.438 (74.448) Prec@5 85.156 (92.705) Test: [190/391] Time 0.097 (0.114) Loss 1.9650 (1.0288) Prec@1 57.812 (73.765) Prec@5 82.031 (92.277) Test: [200/391] Time 0.114 (0.114) Loss 1.2782 (1.0625) Prec@1 60.938 (73.072) Prec@5 88.281 (91.834) Test: [210/391] Time 0.106 (0.113) Loss 1.4681 (1.0804) Prec@1 67.188 (72.760) Prec@5 86.719 (91.606) Test: [220/391] Time 0.108 (0.113) Loss 0.6929 (1.0922) Prec@1 82.812 (72.550) Prec@5 95.312 (91.364) Test: [230/391] Time 0.106 (0.113) Loss 1.9675 (1.1055) Prec@1 50.781 (72.321) Prec@5 82.812 (91.220) Test: [240/391] Time 0.110 (0.113) Loss 1.2913 (1.1135) Prec@1 76.562 (72.241) Prec@5 85.156 (91.098) Test: [250/391] Time 0.112 (0.113) Loss 0.8534 (1.1375) Prec@1 78.906 (71.698) Prec@5 91.406 (90.806) Test: [260/391] Time 0.105 (0.113) Loss 1.4608 (1.1530) Prec@1 61.719 (71.354) Prec@5 86.719 (90.622) Test: [270/391] Time 0.097 (0.112) Loss 1.9784 (1.1636) Prec@1 51.562 (71.120) Prec@5 85.938 (90.472) Test: [280/391] Time 0.167 (0.112) Loss 1.2436 (1.1699) Prec@1 64.844 (71.038) Prec@5 92.188 (90.397) Test: [290/391] Time 0.109 (0.112) Loss 1.5951 (1.1808) Prec@1 50.781 (70.812) Prec@5 89.062 (90.198) Test: [300/391] Time 0.104 (0.112) Loss 1.3076 (1.1909) Prec@1 75.781 (70.632) Prec@5 85.156 (90.049) Test: [310/391] Time 0.104 (0.111) Loss 1.4325 (1.1998) Prec@1 65.625 (70.481) Prec@5 83.594 (89.879) Test: [320/391] Time 0.109 (0.111) Loss 0.8432 (1.2072) Prec@1 80.469 (70.400) Prec@5 92.969 (89.790) Test: [330/391] Time 0.108 (0.111) Loss 1.9126 (1.2255) Prec@1 55.469 (69.977) Prec@5 80.469 (89.546) Test: [340/391] Time 0.101 (0.111) Loss 1.1134 (1.2311) Prec@1 64.062 (69.831) Prec@5 93.750 (89.484) Test: [350/391] Time 0.106 (0.111) Loss 1.2901 (1.2365) Prec@1 70.312 (69.727) Prec@5 88.281 (89.385) Test: [360/391] Time 0.107 (0.111) Loss 1.4415 (1.2446) Prec@1 59.375 (69.566) Prec@5 91.406 (89.314) Test: [370/391] Time 0.110 (0.111) Loss 1.2054 (1.2405) Prec@1 64.062 (69.615) Prec@5 94.531 (89.359) Test: [380/391] Time 0.100 (0.111) Loss 0.9395 (1.2430) Prec@1 76.562 (69.578) Prec@5 93.750 (89.302) Test: [390/391] Time 0.069 (0.110) Loss 1.8668 (1.2369) Prec@1 48.750 (69.732) Prec@5 81.250 (89.374) * Prec@1 69.732 Prec@5 89.374 Epoch: [71][0/10010] Time 2.939 (2.939) Data 2.758 (2.758) Loss 1.3747 (1.3747) Prec@1 61.719 (61.719) Prec@5 89.062 (89.062) Epoch: [71][10/10010] Time 0.326 (0.555) Data 0.001 (0.251) Loss 1.1618 (1.3113) Prec@1 74.219 (69.318) Prec@5 90.625 (88.423) Epoch: [71][20/10010] Time 0.323 (0.442) Data 0.001 (0.132) Loss 0.9334 (1.2960) Prec@1 76.562 (69.568) Prec@5 92.188 (88.393) Epoch: [71][30/10010] Time 0.332 (0.401) Data 0.001 (0.090) Loss 1.3038 (1.3359) Prec@1 71.875 (69.052) Prec@5 89.844 (87.525) Epoch: [71][40/10010] Time 0.313 (0.380) Data 0.000 (0.068) Loss 1.1154 (1.3248) Prec@1 77.344 (69.455) Prec@5 92.188 (87.843) Epoch: [71][50/10010] Time 0.325 (0.369) Data 0.001 (0.055) Loss 1.5352 (1.3300) Prec@1 58.594 (69.424) Prec@5 85.156 (87.638) Epoch: [71][60/10010] Time 0.333 (0.362) Data 0.000 (0.046) Loss 1.3489 (1.3333) Prec@1 68.750 (69.198) Prec@5 86.719 (87.628) Epoch: [71][70/10010] Time 0.324 (0.358) Data 0.001 (0.039) Loss 1.4088 (1.3338) Prec@1 66.406 (69.135) Prec@5 85.156 (87.500) Epoch: [71][80/10010] Time 0.318 (0.355) Data 0.001 (0.035) Loss 1.5366 (1.3532) Prec@1 70.312 (68.846) Prec@5 80.469 (87.056) Epoch: [71][90/10010] Time 0.332 (0.351) Data 0.001 (0.031) Loss 1.0127 (1.3542) Prec@1 71.875 (68.707) Prec@5 89.062 (86.993) Epoch: [71][100/10010] Time 0.334 (0.350) Data 0.001 (0.028) Loss 1.3279 (1.3488) Prec@1 70.312 (68.773) Prec@5 85.938 (87.044) Epoch: [71][110/10010] Time 0.321 (0.347) Data 0.000 (0.025) Loss 1.3577 (1.3509) Prec@1 73.438 (68.947) Prec@5 88.281 (87.014) Epoch: [71][120/10010] Time 0.329 (0.346) Data 0.000 (0.023) Loss 1.1242 (1.3492) Prec@1 77.344 (68.899) Prec@5 89.062 (87.029) Epoch: [71][130/10010] Time 0.319 (0.344) Data 0.000 (0.022) Loss 1.8081 (1.3514) Prec@1 61.719 (68.845) Prec@5 79.688 (86.993) Epoch: [71][140/10010] Time 0.337 (0.343) Data 0.001 (0.020) Loss 1.1716 (1.3432) Prec@1 71.094 (68.927) Prec@5 89.062 (87.156) Epoch: [71][150/10010] Time 0.336 (0.343) Data 0.001 (0.019) Loss 1.2711 (1.3414) Prec@1 67.188 (68.905) Prec@5 88.281 (87.200) Epoch: [71][160/10010] Time 0.312 (0.342) Data 0.001 (0.018) Loss 1.5404 (1.3431) Prec@1 65.625 (68.818) Prec@5 80.469 (87.180) Epoch: [71][170/10010] Time 0.325 (0.341) Data 0.001 (0.017) Loss 1.3428 (1.3418) Prec@1 72.656 (68.791) Prec@5 86.719 (87.185) Epoch: [71][180/10010] Time 0.313 (0.340) Data 0.001 (0.016) Loss 1.5095 (1.3423) Prec@1 65.625 (68.797) Prec@5 88.281 (87.181) Epoch: [71][190/10010] Time 0.324 (0.339) Data 0.001 (0.015) Loss 1.4021 (1.3408) Prec@1 66.406 (68.807) Prec@5 85.156 (87.222) Epoch: [71][200/10010] Time 0.318 (0.338) Data 0.000 (0.014) Loss 1.3599 (1.3425) Prec@1 70.312 (68.801) Prec@5 85.156 (87.146) Epoch: [71][210/10010] Time 0.319 (0.337) Data 0.000 (0.014) Loss 1.1176 (1.3420) Prec@1 75.781 (68.787) Prec@5 89.062 (87.170) Epoch: [71][220/10010] Time 0.319 (0.336) Data 0.001 (0.013) Loss 1.5469 (1.3419) Prec@1 64.062 (68.757) Prec@5 82.812 (87.154) Epoch: [71][230/10010] Time 0.324 (0.336) Data 0.000 (0.013) Loss 1.3902 (1.3418) Prec@1 71.875 (68.777) Prec@5 85.938 (87.162) Epoch: [71][240/10010] Time 0.329 (0.335) Data 0.001 (0.012) Loss 1.7301 (1.3439) Prec@1 64.062 (68.744) Prec@5 78.906 (87.153) Epoch: [71][250/10010] Time 0.336 (0.335) Data 0.000 (0.012) Loss 1.3063 (1.3410) Prec@1 71.094 (68.834) Prec@5 89.844 (87.192) Epoch: [71][260/10010] Time 0.318 (0.335) Data 0.000 (0.011) Loss 1.4365 (1.3434) Prec@1 67.188 (68.804) Prec@5 83.594 (87.165) Epoch: [71][270/10010] Time 0.334 (0.334) Data 0.001 (0.011) Loss 1.4636 (1.3447) Prec@1 64.062 (68.767) Prec@5 86.719 (87.157) Epoch: [71][280/10010] Time 0.337 (0.334) Data 0.001 (0.010) Loss 1.3326 (1.3447) Prec@1 72.656 (68.814) Prec@5 84.375 (87.141) Epoch: [71][290/10010] Time 0.321 (0.333) Data 0.000 (0.010) Loss 1.2163 (1.3461) Prec@1 70.312 (68.753) Prec@5 88.281 (87.132) Epoch: [71][300/10010] Time 0.343 (0.333) Data 0.001 (0.010) Loss 1.6091 (1.3463) Prec@1 67.969 (68.758) Prec@5 83.594 (87.163) Epoch: [71][310/10010] Time 0.316 (0.333) Data 0.001 (0.009) Loss 1.3024 (1.3456) Prec@1 65.625 (68.720) Prec@5 88.281 (87.186) Epoch: [71][320/10010] Time 0.337 (0.332) Data 0.001 (0.009) Loss 1.4048 (1.3460) Prec@1 66.406 (68.692) Prec@5 85.938 (87.150) Epoch: [71][330/10010] Time 0.331 (0.332) Data 0.000 (0.009) Loss 1.5348 (1.3460) Prec@1 61.719 (68.682) Prec@5 82.812 (87.129) Epoch: [71][340/10010] Time 0.331 (0.332) Data 0.001 (0.009) Loss 1.1970 (1.3472) Prec@1 69.531 (68.654) Prec@5 89.062 (87.074) Epoch: [71][350/10010] Time 0.335 (0.332) Data 0.001 (0.008) Loss 1.5674 (1.3480) Prec@1 67.969 (68.683) Prec@5 87.500 (87.075) Epoch: [71][360/10010] Time 0.330 (0.332) Data 0.001 (0.008) Loss 1.2141 (1.3471) Prec@1 73.438 (68.715) Prec@5 87.500 (87.087) Epoch: [71][370/10010] Time 0.315 (0.332) Data 0.001 (0.008) Loss 1.6648 (1.3480) Prec@1 59.375 (68.687) Prec@5 85.938 (87.075) Epoch: [71][380/10010] Time 0.323 (0.332) Data 0.001 (0.008) Loss 1.0612 (1.3486) Prec@1 75.781 (68.709) Prec@5 92.188 (87.059) Epoch: [71][390/10010] Time 0.319 (0.332) Data 0.000 (0.008) Loss 1.4145 (1.3489) Prec@1 67.969 (68.710) Prec@5 85.938 (87.068) Epoch: [71][400/10010] Time 0.317 (0.331) Data 0.001 (0.008) Loss 1.4853 (1.3493) Prec@1 65.625 (68.705) Prec@5 88.281 (87.079) Epoch: [71][410/10010] Time 0.330 (0.331) Data 0.000 (0.007) Loss 1.6781 (1.3511) Prec@1 63.281 (68.678) Prec@5 82.812 (87.059) Epoch: [71][420/10010] Time 0.315 (0.331) Data 0.000 (0.007) Loss 1.7085 (1.3516) Prec@1 56.250 (68.646) Prec@5 82.812 (87.051) Epoch: [71][430/10010] Time 0.332 (0.331) Data 0.001 (0.007) Loss 1.1596 (1.3500) Prec@1 69.531 (68.681) Prec@5 91.406 (87.061) Epoch: [71][440/10010] Time 0.319 (0.331) Data 0.001 (0.007) Loss 1.4187 (1.3521) Prec@1 68.750 (68.638) Prec@5 83.594 (87.038) Epoch: [71][450/10010] Time 0.321 (0.331) Data 0.001 (0.007) Loss 1.3705 (1.3515) Prec@1 69.531 (68.658) Prec@5 88.281 (87.044) Epoch: [71][460/10010] Time 0.337 (0.331) Data 0.000 (0.007) Loss 1.5643 (1.3531) Prec@1 67.188 (68.647) Prec@5 81.250 (87.003) Epoch: [71][470/10010] Time 0.330 (0.330) Data 0.000 (0.006) Loss 1.3512 (1.3511) Prec@1 67.969 (68.717) Prec@5 88.281 (87.027) Epoch: [71][480/10010] Time 0.335 (0.331) Data 0.000 (0.006) Loss 1.4489 (1.3525) Prec@1 69.531 (68.698) Prec@5 84.375 (87.014) Epoch: [71][490/10010] Time 0.328 (0.330) Data 0.000 (0.006) Loss 1.4677 (1.3517) Prec@1 67.969 (68.729) Prec@5 86.719 (87.018) Epoch: [71][500/10010] Time 0.323 (0.330) Data 0.001 (0.006) Loss 1.5617 (1.3522) Prec@1 67.969 (68.736) Prec@5 80.469 (86.996) Epoch: [71][510/10010] Time 0.331 (0.330) Data 0.000 (0.006) Loss 1.4444 (1.3523) Prec@1 63.281 (68.747) Prec@5 86.719 (87.000) Epoch: [71][520/10010] Time 0.322 (0.330) Data 0.001 (0.006) Loss 1.3903 (1.3521) Prec@1 71.094 (68.735) Prec@5 85.156 (86.999) Epoch: [71][530/10010] Time 0.318 (0.330) Data 0.000 (0.006) Loss 1.4481 (1.3531) Prec@1 68.750 (68.722) Prec@5 83.594 (86.991) Epoch: [71][540/10010] Time 0.316 (0.330) Data 0.000 (0.006) Loss 1.4952 (1.3528) Prec@1 67.969 (68.746) Prec@5 85.938 (86.993) /data/vision/torralba/deepscene/lib/anaconda2/lib/python2.7/site-packages/PIL/TiffImagePlugin.py:692: UserWarning: Possibly corrupt EXIF data. Expecting to read 2555904 bytes but only got 0. Skipping tag 0 "Skipping tag %s" % (size, len(data), tag)) Epoch: [71][550/10010] Time 0.336 (0.330) Data 0.001 (0.006) Loss 1.4551 (1.3529) Prec@1 65.625 (68.706) Prec@5 85.156 (86.994) Epoch: [71][560/10010] Time 0.331 (0.330) Data 0.000 (0.006) Loss 1.3130 (1.3528) Prec@1 67.969 (68.714) Prec@5 87.500 (86.988) Epoch: [71][570/10010] Time 0.325 (0.330) Data 0.000 (0.005) Loss 1.5856 (1.3535) Prec@1 60.156 (68.699) Prec@5 83.594 (86.981) Epoch: [71][580/10010] Time 0.318 (0.330) Data 0.000 (0.005) Loss 1.2802 (1.3541) Prec@1 75.000 (68.692) Prec@5 86.719 (86.966) Epoch: [71][590/10010] Time 0.322 (0.330) Data 0.001 (0.005) Loss 1.4701 (1.3535) Prec@1 63.281 (68.729) Prec@5 85.156 (86.970) Epoch: [71][600/10010] Time 0.311 (0.330) Data 0.001 (0.005) Loss 1.5438 (1.3541) Prec@1 62.500 (68.707) Prec@5 84.375 (86.959) Epoch: [71][610/10010] Time 0.320 (0.329) Data 0.001 (0.005) Loss 1.3349 (1.3543) Prec@1 67.969 (68.696) Prec@5 89.062 (86.953) Epoch: [71][620/10010] Time 0.322 (0.329) Data 0.001 (0.005) Loss 1.2728 (1.3540) Prec@1 76.562 (68.731) Prec@5 87.500 (86.967) Epoch: [71][630/10010] Time 0.335 (0.329) Data 0.000 (0.005) Loss 1.3319 (1.3533) Prec@1 71.875 (68.751) Prec@5 88.281 (86.966) Epoch: [71][640/10010] Time 0.335 (0.329) Data 0.001 (0.005) Loss 1.4429 (1.3544) Prec@1 65.625 (68.707) Prec@5 84.375 (86.952) Epoch: [71][650/10010] Time 0.334 (0.329) Data 0.000 (0.005) Loss 1.2679 (1.3536) Prec@1 69.531 (68.697) Prec@5 86.719 (86.958) Epoch: [71][660/10010] Time 0.325 (0.329) Data 0.001 (0.005) Loss 1.4762 (1.3548) Prec@1 69.531 (68.654) Prec@5 85.156 (86.936) Epoch: [71][670/10010] Time 0.316 (0.329) Data 0.000 (0.005) Loss 1.2972 (1.3551) Prec@1 67.188 (68.653) Prec@5 85.938 (86.931) Epoch: [71][680/10010] Time 0.337 (0.329) Data 0.001 (0.005) Loss 1.3506 (1.3559) Prec@1 68.750 (68.616) Prec@5 85.156 (86.922) Epoch: [71][690/10010] Time 0.320 (0.329) Data 0.001 (0.005) Loss 1.3836 (1.3565) Prec@1 69.531 (68.597) Prec@5 85.156 (86.889) Epoch: [71][700/10010] Time 0.322 (0.329) Data 0.000 (0.005) Loss 1.2213 (1.3558) Prec@1 73.438 (68.625) Prec@5 88.281 (86.899) Epoch: [71][710/10010] Time 0.336 (0.329) Data 0.001 (0.005) Loss 1.3495 (1.3556) Prec@1 70.312 (68.606) Prec@5 88.281 (86.918) Epoch: [71][720/10010] Time 0.327 (0.329) Data 0.001 (0.004) Loss 1.4216 (1.3562) Prec@1 67.969 (68.585) Prec@5 86.719 (86.921) Epoch: [71][730/10010] Time 0.316 (0.329) Data 0.001 (0.004) Loss 1.5299 (1.3571) Prec@1 63.281 (68.559) Prec@5 82.812 (86.927) Epoch: [71][740/10010] Time 0.341 (0.329) Data 0.000 (0.004) Loss 1.2119 (1.3566) Prec@1 69.531 (68.572) Prec@5 88.281 (86.932) Epoch: [71][750/10010] Time 0.311 (0.329) Data 0.001 (0.004) Loss 1.6793 (1.3576) Prec@1 63.281 (68.544) Prec@5 83.594 (86.927) Epoch: [71][760/10010] Time 0.313 (0.329) Data 0.001 (0.004) Loss 1.3651 (1.3581) Prec@1 67.188 (68.527) Prec@5 88.281 (86.924) Epoch: [71][770/10010] Time 0.337 (0.329) Data 0.000 (0.004) Loss 1.4026 (1.3580) Prec@1 64.062 (68.512) Prec@5 87.500 (86.914) Epoch: [71][780/10010] Time 0.318 (0.329) Data 0.001 (0.004) Loss 1.4731 (1.3583) Prec@1 64.062 (68.523) Prec@5 85.938 (86.908) Epoch: [71][790/10010] Time 0.336 (0.329) Data 0.001 (0.004) Loss 1.5253 (1.3583) Prec@1 64.844 (68.527) Prec@5 82.031 (86.898) Epoch: [71][800/10010] Time 0.320 (0.329) Data 0.001 (0.004) Loss 1.4313 (1.3580) Prec@1 71.875 (68.551) Prec@5 82.812 (86.890) Epoch: [71][810/10010] Time 0.314 (0.329) Data 0.001 (0.004) Loss 1.4466 (1.3579) Prec@1 66.406 (68.537) Prec@5 82.031 (86.881) Epoch: [71][820/10010] Time 0.332 (0.329) Data 0.001 (0.004) Loss 1.2307 (1.3589) Prec@1 71.875 (68.522) Prec@5 85.938 (86.869) Epoch: [71][830/10010] Time 0.312 (0.329) Data 0.000 (0.004) Loss 1.7721 (1.3592) Prec@1 57.812 (68.513) Prec@5 78.906 (86.862) Epoch: [71][840/10010] Time 0.329 (0.329) Data 0.001 (0.004) Loss 1.2718 (1.3585) Prec@1 67.969 (68.508) Prec@5 92.188 (86.878) Epoch: [71][850/10010] Time 0.320 (0.329) Data 0.001 (0.004) Loss 1.4977 (1.3594) Prec@1 64.062 (68.477) Prec@5 85.156 (86.872) Epoch: [71][860/10010] Time 0.336 (0.329) Data 0.000 (0.004) Loss 1.1939 (1.3599) Prec@1 69.531 (68.474) Prec@5 89.844 (86.870) Epoch: [71][870/10010] Time 0.320 (0.329) Data 0.000 (0.004) Loss 1.6102 (1.3593) Prec@1 64.844 (68.490) Prec@5 82.812 (86.874) Epoch: [71][880/10010] Time 0.320 (0.329) Data 0.001 (0.004) Loss 1.3577 (1.3597) Prec@1 67.188 (68.488) Prec@5 87.500 (86.870) Epoch: [71][890/10010] Time 0.327 (0.329) Data 0.001 (0.004) Loss 1.6209 (1.3600) Prec@1 62.500 (68.490) Prec@5 82.812 (86.860) Epoch: [71][900/10010] Time 0.319 (0.328) Data 0.000 (0.004) Loss 1.3971 (1.3600) Prec@1 67.188 (68.481) Prec@5 87.500 (86.870) Epoch: [71][910/10010] Time 0.333 (0.328) Data 0.001 (0.004) Loss 1.4486 (1.3600) Prec@1 63.281 (68.470) Prec@5 86.719 (86.874) Epoch: [71][920/10010] Time 0.337 (0.329) Data 0.001 (0.004) Loss 1.2407 (1.3604) Prec@1 74.219 (68.470) Prec@5 89.062 (86.874) Epoch: [71][930/10010] Time 0.337 (0.328) Data 0.000 (0.004) Loss 1.2379 (1.3609) Prec@1 68.750 (68.464) Prec@5 89.844 (86.860) Epoch: [71][940/10010] Time 0.320 (0.328) Data 0.001 (0.004) Loss 1.3480 (1.3616) Prec@1 65.625 (68.453) Prec@5 89.844 (86.847) Epoch: [71][950/10010] Time 0.318 (0.328) Data 0.001 (0.004) Loss 1.3940 (1.3610) Prec@1 65.625 (68.467) Prec@5 85.938 (86.858) Epoch: [71][960/10010] Time 0.338 (0.328) Data 0.000 (0.003) Loss 1.3886 (1.3610) Prec@1 71.875 (68.475) Prec@5 85.938 (86.859) Epoch: [71][970/10010] Time 0.333 (0.328) Data 0.000 (0.003) Loss 1.0669 (1.3606) Prec@1 71.094 (68.490) Prec@5 92.969 (86.865) Epoch: [71][980/10010] Time 0.342 (0.328) Data 0.001 (0.003) Loss 1.4007 (1.3613) Prec@1 67.969 (68.456) Prec@5 87.500 (86.865) Epoch: [71][990/10010] Time 0.316 (0.328) Data 0.001 (0.003) Loss 1.2789 (1.3606) Prec@1 71.094 (68.458) Prec@5 87.500 (86.872) Epoch: [71][1000/10010] Time 0.340 (0.328) Data 0.000 (0.003) Loss 1.2458 (1.3610) Prec@1 71.094 (68.455) Prec@5 87.500 (86.864) Epoch: [71][1010/10010] Time 0.341 (0.328) Data 0.001 (0.003) Loss 1.1067 (1.3611) Prec@1 75.781 (68.456) Prec@5 89.062 (86.853) Epoch: [71][1020/10010] Time 0.337 (0.328) Data 0.000 (0.003) Loss 1.1573 (1.3616) Prec@1 71.094 (68.449) Prec@5 89.062 (86.840) Epoch: [71][1030/10010] Time 0.333 (0.328) Data 0.001 (0.003) Loss 1.6042 (1.3614) Prec@1 61.719 (68.452) Prec@5 85.156 (86.855) Epoch: [71][1040/10010] Time 0.337 (0.328) Data 0.000 (0.003) Loss 1.4709 (1.3622) Prec@1 71.875 (68.443) Prec@5 84.375 (86.849) Epoch: [71][1050/10010] Time 0.336 (0.328) Data 0.001 (0.003) Loss 1.4194 (1.3630) Prec@1 69.531 (68.439) Prec@5 85.156 (86.834) Epoch: [71][1060/10010] Time 0.325 (0.328) Data 0.000 (0.003) Loss 1.4971 (1.3635) Prec@1 66.406 (68.422) Prec@5 85.938 (86.831) Epoch: [71][1070/10010] Time 0.317 (0.328) Data 0.001 (0.003) Loss 1.4406 (1.3635) Prec@1 60.156 (68.409) Prec@5 85.156 (86.822) Epoch: [71][1080/10010] Time 0.329 (0.328) Data 0.000 (0.003) Loss 1.4297 (1.3641) Prec@1 69.531 (68.399) Prec@5 87.500 (86.814) Epoch: [71][1090/10010] Time 0.337 (0.328) Data 0.001 (0.003) Loss 1.1511 (1.3649) Prec@1 73.438 (68.394) Prec@5 90.625 (86.808) Epoch: [71][1100/10010] Time 0.313 (0.328) Data 0.001 (0.003) Loss 1.2910 (1.3654) Prec@1 66.406 (68.383) Prec@5 87.500 (86.791) Epoch: [71][1110/10010] Time 0.325 (0.328) Data 0.001 (0.003) Loss 1.3535 (1.3653) Prec@1 68.750 (68.400) Prec@5 86.719 (86.786) Epoch: [71][1120/10010] Time 0.338 (0.328) Data 0.001 (0.003) Loss 1.4172 (1.3653) Prec@1 64.062 (68.401) Prec@5 84.375 (86.777) Epoch: [71][1130/10010] Time 0.323 (0.328) Data 0.000 (0.003) Loss 1.7287 (1.3660) Prec@1 57.031 (68.389) Prec@5 78.906 (86.762) Epoch: [71][1140/10010] Time 0.338 (0.328) Data 0.001 (0.003) Loss 1.5899 (1.3661) Prec@1 65.625 (68.378) Prec@5 85.938 (86.763) Epoch: [71][1150/10010] Time 0.328 (0.328) Data 0.001 (0.003) Loss 1.3967 (1.3672) Prec@1 65.625 (68.352) Prec@5 84.375 (86.743) Epoch: [71][1160/10010] Time 0.341 (0.328) Data 0.000 (0.003) Loss 1.1893 (1.3679) Prec@1 66.406 (68.337) Prec@5 89.844 (86.726) Epoch: [71][1170/10010] Time 0.326 (0.328) Data 0.001 (0.003) Loss 1.5796 (1.3682) Prec@1 64.844 (68.313) Prec@5 83.594 (86.735) Epoch: [71][1180/10010] Time 0.320 (0.328) Data 0.001 (0.003) Loss 1.2960 (1.3679) Prec@1 71.875 (68.327) Prec@5 86.719 (86.736) Epoch: [71][1190/10010] Time 0.327 (0.328) Data 0.001 (0.003) Loss 1.1708 (1.3680) Prec@1 72.656 (68.330) Prec@5 87.500 (86.734) Epoch: [71][1200/10010] Time 0.318 (0.328) Data 0.001 (0.003) Loss 1.7008 (1.3680) Prec@1 61.719 (68.332) Prec@5 81.250 (86.737) Epoch: [71][1210/10010] Time 0.314 (0.328) Data 0.000 (0.003) Loss 1.4311 (1.3673) Prec@1 66.406 (68.347) Prec@5 87.500 (86.741) Epoch: [71][1220/10010] Time 0.312 (0.328) Data 0.001 (0.003) Loss 1.3385 (1.3676) Prec@1 71.094 (68.334) Prec@5 89.062 (86.742) Epoch: [71][1230/10010] Time 0.338 (0.328) Data 0.000 (0.003) Loss 1.2601 (1.3676) Prec@1 69.531 (68.325) Prec@5 89.062 (86.740) Epoch: [71][1240/10010] Time 0.314 (0.328) Data 0.001 (0.003) Loss 1.2415 (1.3680) Prec@1 66.406 (68.311) Prec@5 87.500 (86.738) Epoch: [71][1250/10010] Time 0.338 (0.328) Data 0.000 (0.003) Loss 1.3333 (1.3685) Prec@1 69.531 (68.311) Prec@5 88.281 (86.731) Epoch: [71][1260/10010] Time 0.341 (0.328) Data 0.001 (0.003) Loss 1.4637 (1.3684) Prec@1 66.406 (68.304) Prec@5 85.938 (86.729) Epoch: [71][1270/10010] Time 0.323 (0.328) Data 0.000 (0.003) Loss 1.5641 (1.3694) Prec@1 64.844 (68.288) Prec@5 84.375 (86.718) Epoch: [71][1280/10010] Time 0.333 (0.328) Data 0.000 (0.003) Loss 1.5063 (1.3691) Prec@1 64.062 (68.287) Prec@5 87.500 (86.722) Epoch: [71][1290/10010] Time 0.340 (0.328) Data 0.000 (0.003) Loss 1.3601 (1.3692) Prec@1 69.531 (68.283) Prec@5 88.281 (86.722) Epoch: [71][1300/10010] Time 0.316 (0.328) Data 0.001 (0.003) Loss 1.5178 (1.3696) Prec@1 67.188 (68.276) Prec@5 83.594 (86.720) Epoch: [71][1310/10010] Time 0.330 (0.328) Data 0.000 (0.003) Loss 1.3321 (1.3694) Prec@1 68.750 (68.281) Prec@5 87.500 (86.727) Epoch: [71][1320/10010] Time 0.312 (0.328) Data 0.000 (0.003) Loss 1.3409 (1.3691) Prec@1 67.188 (68.284) Prec@5 86.719 (86.733) /data/vision/torralba/deepscene/lib/anaconda2/lib/python2.7/site-packages/PIL/TiffImagePlugin.py:692: UserWarning: Possibly corrupt EXIF data. Expecting to read 19660800 bytes but only got 0. Skipping tag 0 "Skipping tag %s" % (size, len(data), tag)) /data/vision/torralba/deepscene/lib/anaconda2/lib/python2.7/site-packages/PIL/TiffImagePlugin.py:692: UserWarning: Possibly corrupt EXIF data. Expecting to read 18481152 bytes but only got 0. Skipping tag 0 "Skipping tag %s" % (size, len(data), tag)) /data/vision/torralba/deepscene/lib/anaconda2/lib/python2.7/site-packages/PIL/TiffImagePlugin.py:692: UserWarning: Possibly corrupt EXIF data. Expecting to read 37093376 bytes but only got 0. Skipping tag 0 "Skipping tag %s" % (size, len(data), tag)) /data/vision/torralba/deepscene/lib/anaconda2/lib/python2.7/site-packages/PIL/TiffImagePlugin.py:692: UserWarning: Possibly corrupt EXIF data. Expecting to read 39976960 bytes but only got 0. Skipping tag 0 "Skipping tag %s" % (size, len(data), tag)) /data/vision/torralba/deepscene/lib/anaconda2/lib/python2.7/site-packages/PIL/TiffImagePlugin.py:692: UserWarning: Possibly corrupt EXIF data. Expecting to read 34865152 bytes but only got 0. Skipping tag 0 "Skipping tag %s" % (size, len(data), tag)) /data/vision/torralba/deepscene/lib/anaconda2/lib/python2.7/site-packages/PIL/TiffImagePlugin.py:709: UserWarning: Corrupt EXIF data. Expecting to read 12 bytes but only got 10. warnings.warn(str(msg)) Epoch: [71][1330/10010] Time 0.326 (0.328) Data 0.000 (0.003) Loss 1.4060 (1.3694) Prec@1 69.531 (68.280) Prec@5 86.719 (86.727) Epoch: [71][1340/10010] Time 0.322 (0.328) Data 0.001 (0.003) Loss 1.3009 (1.3695) Prec@1 65.625 (68.276) Prec@5 90.625 (86.731) /data/vision/torralba/deepscene/lib/anaconda2/lib/python2.7/site-packages/PIL/TiffImagePlugin.py:692: UserWarning: Possibly corrupt EXIF data. Expecting to read 2555904 bytes but only got 0. Skipping tag 0 "Skipping tag %s" % (size, len(data), tag)) Epoch: [71][1350/10010] Time 0.335 (0.328) Data 0.001 (0.003) Loss 1.3484 (1.3701) Prec@1 69.531 (68.260) Prec@5 87.500 (86.727) Epoch: [71][1360/10010] Time 0.335 (0.328) Data 0.001 (0.003) Loss 1.7614 (1.3702) Prec@1 63.281 (68.252) Prec@5 85.938 (86.729) Epoch: [71][1370/10010] Time 0.317 (0.328) Data 0.001 (0.003) Loss 1.5856 (1.3708) Prec@1 62.500 (68.236) Prec@5 83.594 (86.716) Epoch: [71][1380/10010] Time 0.331 (0.328) Data 0.000 (0.003) Loss 1.3831 (1.3708) Prec@1 65.625 (68.235) Prec@5 85.156 (86.717) Epoch: [71][1390/10010] Time 0.334 (0.328) Data 0.001 (0.003) Loss 1.2309 (1.3708) Prec@1 74.219 (68.245) Prec@5 87.500 (86.710) Epoch: [71][1400/10010] Time 0.327 (0.328) Data 0.000 (0.003) Loss 1.1464 (1.3701) Prec@1 75.000 (68.270) Prec@5 89.844 (86.716) Epoch: [71][1410/10010] Time 0.339 (0.328) Data 0.001 (0.003) Loss 1.6182 (1.3706) Prec@1 60.156 (68.250) Prec@5 85.938 (86.712) Epoch: [71][1420/10010] Time 0.320 (0.328) Data 0.000 (0.003) Loss 1.0621 (1.3701) Prec@1 73.438 (68.252) Prec@5 89.844 (86.717) Epoch: [71][1430/10010] Time 0.316 (0.328) Data 0.001 (0.003) Loss 1.4511 (1.3697) Prec@1 67.188 (68.254) Prec@5 88.281 (86.723) Epoch: [71][1440/10010] Time 0.320 (0.328) Data 0.001 (0.003) Loss 0.9539 (1.3693) Prec@1 77.344 (68.264) Prec@5 91.406 (86.728) Epoch: [71][1450/10010] Time 0.317 (0.328) Data 0.001 (0.003) Loss 1.4985 (1.3691) Prec@1 62.500 (68.257) Prec@5 86.719 (86.732) Epoch: [71][1460/10010] Time 0.338 (0.328) Data 0.001 (0.003) Loss 1.5219 (1.3693) Prec@1 64.062 (68.253) Prec@5 85.156 (86.732) Epoch: [71][1470/10010] Time 0.319 (0.328) Data 0.001 (0.003) Loss 1.3600 (1.3687) Prec@1 66.406 (68.261) Prec@5 85.156 (86.734) Epoch: [71][1480/10010] Time 0.337 (0.328) Data 0.001 (0.002) Loss 1.6847 (1.3690) Prec@1 65.625 (68.267) Prec@5 82.812 (86.731) Epoch: [71][1490/10010] Time 0.340 (0.328) Data 0.000 (0.002) Loss 1.3186 (1.3690) Prec@1 69.531 (68.273) Prec@5 88.281 (86.733) Epoch: [71][1500/10010] Time 0.320 (0.328) Data 0.001 (0.002) Loss 1.1337 (1.3690) Prec@1 73.438 (68.270) Prec@5 92.188 (86.737) Epoch: [71][1510/10010] Time 0.325 (0.328) Data 0.000 (0.002) Loss 1.5087 (1.3690) Prec@1 67.188 (68.264) Prec@5 88.281 (86.739) Epoch: [71][1520/10010] Time 0.322 (0.328) Data 0.001 (0.002) Loss 1.5142 (1.3690) Prec@1 66.406 (68.257) Prec@5 82.812 (86.739) Epoch: [71][1530/10010] Time 0.327 (0.328) Data 0.001 (0.002) Loss 1.3958 (1.3691) Prec@1 71.094 (68.252) Prec@5 87.500 (86.741) Epoch: [71][1540/10010] Time 0.340 (0.328) Data 0.001 (0.002) Loss 1.6039 (1.3688) Prec@1 61.719 (68.258) Prec@5 84.375 (86.746) Epoch: [71][1550/10010] Time 0.310 (0.328) Data 0.000 (0.002) Loss 1.6296 (1.3687) Prec@1 67.188 (68.257) Prec@5 84.375 (86.750) Epoch: [71][1560/10010] Time 0.324 (0.328) Data 0.001 (0.002) Loss 1.3152 (1.3684) Prec@1 68.750 (68.255) Prec@5 86.719 (86.751) Epoch: [71][1570/10010] Time 0.331 (0.328) Data 0.000 (0.002) Loss 1.4804 (1.3686) Prec@1 66.406 (68.244) Prec@5 81.250 (86.749) Epoch: [71][1580/10010] Time 0.318 (0.328) Data 0.000 (0.002) Loss 1.4519 (1.3689) Prec@1 64.844 (68.242) Prec@5 83.594 (86.745) Epoch: [71][1590/10010] Time 0.322 (0.328) Data 0.001 (0.002) Loss 1.5141 (1.3689) Prec@1 68.750 (68.242) Prec@5 86.719 (86.744) Epoch: [71][1600/10010] Time 0.314 (0.328) Data 0.001 (0.002) Loss 1.4607 (1.3691) Prec@1 71.875 (68.241) Prec@5 87.500 (86.743) Epoch: [71][1610/10010] Time 0.325 (0.328) Data 0.000 (0.002) Loss 1.4149 (1.3697) Prec@1 67.969 (68.234) Prec@5 86.719 (86.739) Epoch: [71][1620/10010] Time 0.324 (0.328) Data 0.001 (0.002) Loss 1.2447 (1.3696) Prec@1 70.312 (68.243) Prec@5 91.406 (86.743) Epoch: [71][1630/10010] Time 0.319 (0.328) Data 0.000 (0.002) Loss 1.2371 (1.3696) Prec@1 74.219 (68.235) Prec@5 89.844 (86.753) Epoch: [71][1640/10010] Time 0.340 (0.328) Data 0.000 (0.002) Loss 1.7452 (1.3698) Prec@1 60.156 (68.229) Prec@5 82.031 (86.752) Epoch: [71][1650/10010] Time 0.322 (0.328) Data 0.001 (0.002) Loss 1.4376 (1.3699) Prec@1 73.438 (68.233) Prec@5 84.375 (86.751) Epoch: [71][1660/10010] Time 0.317 (0.328) Data 0.000 (0.002) Loss 1.3407 (1.3701) Prec@1 66.406 (68.222) Prec@5 82.812 (86.747) Epoch: [71][1670/10010] Time 0.319 (0.328) Data 0.001 (0.002) Loss 1.1473 (1.3698) Prec@1 72.656 (68.231) Prec@5 88.281 (86.749) Epoch: [71][1680/10010] Time 0.336 (0.328) Data 0.001 (0.002) Loss 1.0687 (1.3696) Prec@1 75.000 (68.234) Prec@5 88.281 (86.746) Epoch: [71][1690/10010] Time 0.327 (0.327) Data 0.000 (0.002) Loss 1.4809 (1.3699) Prec@1 64.844 (68.229) Prec@5 85.938 (86.742) Epoch: [71][1700/10010] Time 0.321 (0.327) Data 0.001 (0.002) Loss 1.0543 (1.3695) Prec@1 72.656 (68.231) Prec@5 91.406 (86.745) Epoch: [71][1710/10010] Time 0.323 (0.328) Data 0.000 (0.002) Loss 1.0135 (1.3696) Prec@1 77.344 (68.228) Prec@5 93.750 (86.746) Epoch: [71][1720/10010] Time 0.319 (0.327) Data 0.001 (0.002) Loss 1.3864 (1.3697) Prec@1 67.188 (68.225) Prec@5 83.594 (86.742) Epoch: [71][1730/10010] Time 0.318 (0.327) Data 0.000 (0.002) Loss 1.3065 (1.3699) Prec@1 67.188 (68.217) Prec@5 87.500 (86.738) Epoch: [71][1740/10010] Time 0.327 (0.327) Data 0.000 (0.002) Loss 1.3702 (1.3695) Prec@1 72.656 (68.221) Prec@5 85.156 (86.743) Epoch: [71][1750/10010] Time 0.342 (0.327) Data 0.001 (0.002) Loss 1.5140 (1.3693) Prec@1 65.625 (68.217) Prec@5 82.031 (86.749) Epoch: [71][1760/10010] Time 0.332 (0.327) Data 0.000 (0.002) Loss 1.3615 (1.3688) Prec@1 70.312 (68.232) Prec@5 87.500 (86.756) Epoch: [71][1770/10010] Time 0.326 (0.327) Data 0.000 (0.002) Loss 1.3805 (1.3688) Prec@1 69.531 (68.240) Prec@5 83.594 (86.756) Epoch: [71][1780/10010] Time 0.322 (0.327) Data 0.001 (0.002) Loss 1.1984 (1.3684) Prec@1 75.781 (68.252) Prec@5 89.062 (86.760) Epoch: [71][1790/10010] Time 0.319 (0.327) Data 0.001 (0.002) Loss 1.6543 (1.3686) Prec@1 64.062 (68.254) Prec@5 83.594 (86.759) Epoch: [71][1800/10010] Time 0.341 (0.327) Data 0.000 (0.002) Loss 1.3023 (1.3687) Prec@1 71.875 (68.245) Prec@5 87.500 (86.757) Epoch: [71][1810/10010] Time 0.316 (0.327) Data 0.001 (0.002) Loss 1.5977 (1.3686) Prec@1 64.062 (68.246) Prec@5 85.156 (86.757) Epoch: [71][1820/10010] Time 0.324 (0.327) Data 0.001 (0.002) Loss 1.6114 (1.3690) Prec@1 60.938 (68.238) Prec@5 87.500 (86.750) Epoch: [71][1830/10010] Time 0.336 (0.327) Data 0.000 (0.002) Loss 1.4460 (1.3691) Prec@1 65.625 (68.237) Prec@5 89.844 (86.750) Epoch: [71][1840/10010] Time 0.329 (0.327) Data 0.000 (0.002) Loss 1.4011 (1.3692) Prec@1 62.500 (68.237) Prec@5 87.500 (86.749) Epoch: [71][1850/10010] Time 0.326 (0.327) Data 0.001 (0.002) Loss 1.1389 (1.3692) Prec@1 69.531 (68.227) Prec@5 89.844 (86.750) Epoch: [71][1860/10010] Time 0.333 (0.327) Data 0.001 (0.002) Loss 1.2864 (1.3690) Prec@1 67.188 (68.229) Prec@5 89.062 (86.751) Epoch: [71][1870/10010] Time 0.324 (0.327) Data 0.001 (0.002) Loss 1.4033 (1.3695) Prec@1 66.406 (68.226) Prec@5 85.156 (86.743) Epoch: [71][1880/10010] Time 0.328 (0.327) Data 0.001 (0.002) Loss 1.6685 (1.3699) Prec@1 65.625 (68.226) Prec@5 83.594 (86.737) Epoch: [71][1890/10010] Time 0.327 (0.327) Data 0.000 (0.002) Loss 1.5195 (1.3699) Prec@1 67.188 (68.231) Prec@5 85.156 (86.737) Epoch: [71][1900/10010] Time 0.330 (0.327) Data 0.000 (0.002) Loss 1.5555 (1.3700) Prec@1 62.500 (68.222) Prec@5 86.719 (86.738) Epoch: [71][1910/10010] Time 0.338 (0.327) Data 0.001 (0.002) Loss 1.5482 (1.3701) Prec@1 67.969 (68.224) Prec@5 82.031 (86.733) Epoch: [71][1920/10010] Time 0.338 (0.327) Data 0.001 (0.002) Loss 1.2776 (1.3703) Prec@1 64.844 (68.216) Prec@5 88.281 (86.731) Epoch: [71][1930/10010] Time 0.336 (0.327) Data 0.001 (0.002) Loss 1.4870 (1.3700) Prec@1 63.281 (68.216) Prec@5 83.594 (86.740) Epoch: [71][1940/10010] Time 0.324 (0.327) Data 0.000 (0.002) Loss 1.4084 (1.3697) Prec@1 67.969 (68.225) Prec@5 85.938 (86.746) Epoch: [71][1950/10010] Time 0.336 (0.327) Data 0.001 (0.002) Loss 1.2853 (1.3696) Prec@1 70.312 (68.226) Prec@5 89.062 (86.753) Epoch: [71][1960/10010] Time 0.316 (0.327) Data 0.001 (0.002) Loss 1.4591 (1.3698) Prec@1 67.969 (68.221) Prec@5 88.281 (86.750) Epoch: [71][1970/10010] Time 0.332 (0.327) Data 0.001 (0.002) Loss 1.5129 (1.3701) Prec@1 64.844 (68.212) Prec@5 83.594 (86.744) Epoch: [71][1980/10010] Time 0.320 (0.327) Data 0.000 (0.002) Loss 1.4981 (1.3703) Prec@1 64.844 (68.210) Prec@5 82.812 (86.738) Epoch: [71][1990/10010] Time 0.321 (0.327) Data 0.001 (0.002) Loss 1.2665 (1.3702) Prec@1 68.750 (68.210) Prec@5 89.844 (86.747) Epoch: [71][2000/10010] Time 0.322 (0.327) Data 0.000 (0.002) Loss 1.7710 (1.3705) Prec@1 64.062 (68.202) Prec@5 77.344 (86.741) Epoch: [71][2010/10010] Time 0.321 (0.327) Data 0.001 (0.002) Loss 1.9200 (1.3710) Prec@1 55.469 (68.184) Prec@5 80.469 (86.738) Epoch: [71][2020/10010] Time 0.319 (0.327) Data 0.001 (0.002) Loss 1.4622 (1.3714) Prec@1 68.750 (68.178) Prec@5 85.156 (86.731) Epoch: [71][2030/10010] Time 0.327 (0.327) Data 0.001 (0.002) Loss 1.3387 (1.3715) Prec@1 69.531 (68.177) Prec@5 88.281 (86.728) Epoch: [71][2040/10010] Time 0.328 (0.327) Data 0.000 (0.002) Loss 1.4281 (1.3713) Prec@1 67.188 (68.176) Prec@5 85.938 (86.732) Epoch: [71][2050/10010] Time 0.334 (0.327) Data 0.001 (0.002) Loss 1.5007 (1.3717) Prec@1 66.406 (68.171) Prec@5 87.500 (86.725) Epoch: [71][2060/10010] Time 0.315 (0.327) Data 0.001 (0.002) Loss 1.5451 (1.3718) Prec@1 68.750 (68.172) Prec@5 85.156 (86.726) Epoch: [71][2070/10010] Time 0.319 (0.327) Data 0.001 (0.002) Loss 1.4087 (1.3716) Prec@1 70.312 (68.175) Prec@5 86.719 (86.735) Epoch: [71][2080/10010] Time 0.335 (0.327) Data 0.001 (0.002) Loss 1.5914 (1.3717) Prec@1 64.844 (68.169) Prec@5 85.938 (86.736) Epoch: [71][2090/10010] Time 0.332 (0.327) Data 0.001 (0.002) Loss 1.2546 (1.3713) Prec@1 67.188 (68.183) Prec@5 90.625 (86.744) Epoch: [71][2100/10010] Time 0.339 (0.327) Data 0.000 (0.002) Loss 1.3372 (1.3714) Prec@1 67.188 (68.180) Prec@5 89.844 (86.741) Epoch: [71][2110/10010] Time 0.336 (0.327) Data 0.000 (0.002) Loss 1.4296 (1.3714) Prec@1 67.969 (68.181) Prec@5 85.938 (86.741) Epoch: [71][2120/10010] Time 0.328 (0.327) Data 0.000 (0.002) Loss 1.4576 (1.3714) Prec@1 67.188 (68.183) Prec@5 89.062 (86.741) Epoch: [71][2130/10010] Time 0.331 (0.327) Data 0.000 (0.002) Loss 1.3450 (1.3714) Prec@1 67.188 (68.180) Prec@5 83.594 (86.737) Epoch: [71][2140/10010] Time 0.329 (0.327) Data 0.001 (0.002) Loss 1.4331 (1.3715) Prec@1 64.844 (68.175) Prec@5 81.250 (86.736) Epoch: [71][2150/10010] Time 0.311 (0.327) Data 0.001 (0.002) Loss 1.3182 (1.3714) Prec@1 66.406 (68.171) Prec@5 86.719 (86.737) Epoch: [71][2160/10010] Time 0.317 (0.327) Data 0.000 (0.002) Loss 1.5372 (1.3712) Prec@1 66.406 (68.168) Prec@5 85.938 (86.742) Epoch: [71][2170/10010] Time 0.317 (0.327) Data 0.001 (0.002) Loss 1.5050 (1.3718) Prec@1 66.406 (68.156) Prec@5 83.594 (86.737) Epoch: [71][2180/10010] Time 0.337 (0.327) Data 0.001 (0.002) Loss 1.4269 (1.3716) Prec@1 65.625 (68.151) Prec@5 89.062 (86.741) Epoch: [71][2190/10010] Time 0.319 (0.327) Data 0.001 (0.002) Loss 1.4260 (1.3716) Prec@1 65.625 (68.150) Prec@5 86.719 (86.742) Epoch: [71][2200/10010] Time 0.330 (0.327) Data 0.001 (0.002) Loss 1.8497 (1.3716) Prec@1 60.156 (68.149) Prec@5 82.031 (86.749) Epoch: [71][2210/10010] Time 0.336 (0.327) Data 0.001 (0.002) Loss 1.3799 (1.3713) Prec@1 71.875 (68.158) Prec@5 84.375 (86.753) Epoch: [71][2220/10010] Time 0.334 (0.327) Data 0.001 (0.002) Loss 1.6405 (1.3721) Prec@1 65.625 (68.145) Prec@5 82.812 (86.745) Epoch: [71][2230/10010] Time 0.320 (0.327) Data 0.000 (0.002) Loss 1.4166 (1.3726) Prec@1 63.281 (68.142) Prec@5 91.406 (86.744) Epoch: [71][2240/10010] Time 0.316 (0.327) Data 0.001 (0.002) Loss 1.5372 (1.3728) Prec@1 63.281 (68.144) Prec@5 86.719 (86.739) Epoch: [71][2250/10010] Time 0.322 (0.327) Data 0.000 (0.002) Loss 1.6323 (1.3730) Prec@1 64.844 (68.135) Prec@5 84.375 (86.738) Epoch: [71][2260/10010] Time 0.320 (0.327) Data 0.001 (0.002) Loss 1.5202 (1.3732) Prec@1 62.500 (68.137) Prec@5 85.938 (86.734) Epoch: [71][2270/10010] Time 0.331 (0.327) Data 0.001 (0.002) Loss 1.4839 (1.3735) Prec@1 67.969 (68.132) Prec@5 82.812 (86.725) Epoch: [71][2280/10010] Time 0.327 (0.327) Data 0.000 (0.002) Loss 1.1044 (1.3733) Prec@1 68.750 (68.130) Prec@5 92.188 (86.726) Epoch: [71][2290/10010] Time 0.320 (0.327) Data 0.000 (0.002) Loss 1.5228 (1.3733) Prec@1 61.719 (68.128) Prec@5 83.594 (86.727) Epoch: [71][2300/10010] Time 0.316 (0.327) Data 0.001 (0.002) Loss 1.3090 (1.3733) Prec@1 64.062 (68.119) Prec@5 87.500 (86.725) Epoch: [71][2310/10010] Time 0.335 (0.327) Data 0.000 (0.002) Loss 1.2829 (1.3732) Prec@1 68.750 (68.124) Prec@5 85.156 (86.724) Epoch: [71][2320/10010] Time 0.331 (0.327) Data 0.001 (0.002) Loss 1.4086 (1.3733) Prec@1 67.969 (68.128) Prec@5 85.938 (86.726) Epoch: [71][2330/10010] Time 0.323 (0.327) Data 0.000 (0.002) Loss 1.3390 (1.3731) Prec@1 69.531 (68.132) Prec@5 88.281 (86.730) Epoch: [71][2340/10010] Time 0.319 (0.327) Data 0.001 (0.002) Loss 1.4363 (1.3733) Prec@1 63.281 (68.134) Prec@5 85.156 (86.730) Epoch: [71][2350/10010] Time 0.331 (0.327) Data 0.000 (0.002) Loss 1.6176 (1.3735) Prec@1 65.625 (68.129) Prec@5 81.250 (86.726) Epoch: [71][2360/10010] Time 0.322 (0.327) Data 0.000 (0.002) Loss 1.3368 (1.3735) Prec@1 69.531 (68.125) Prec@5 86.719 (86.728) Epoch: [71][2370/10010] Time 0.328 (0.327) Data 0.001 (0.002) Loss 1.5690 (1.3736) Prec@1 58.594 (68.121) Prec@5 87.500 (86.727) Epoch: [71][2380/10010] Time 0.329 (0.327) Data 0.001 (0.002) Loss 1.4940 (1.3735) Prec@1 64.844 (68.126) Prec@5 87.500 (86.731) Epoch: [71][2390/10010] Time 0.325 (0.327) Data 0.000 (0.002) Loss 1.2960 (1.3735) Prec@1 71.094 (68.136) Prec@5 86.719 (86.732) Epoch: [71][2400/10010] Time 0.327 (0.327) Data 0.000 (0.002) Loss 1.4949 (1.3734) Prec@1 69.531 (68.140) Prec@5 84.375 (86.732) Epoch: [71][2410/10010] Time 0.313 (0.327) Data 0.001 (0.002) Loss 1.7169 (1.3735) Prec@1 65.625 (68.143) Prec@5 82.812 (86.730) Epoch: [71][2420/10010] Time 0.315 (0.327) Data 0.001 (0.002) Loss 1.4037 (1.3735) Prec@1 67.969 (68.141) Prec@5 87.500 (86.727) Epoch: [71][2430/10010] Time 0.314 (0.327) Data 0.001 (0.002) Loss 1.3572 (1.3736) Prec@1 67.188 (68.142) Prec@5 87.500 (86.727) Epoch: [71][2440/10010] Time 0.339 (0.327) Data 0.001 (0.002) Loss 1.3542 (1.3736) Prec@1 67.188 (68.141) Prec@5 84.375 (86.728) Epoch: [71][2450/10010] Time 0.317 (0.327) Data 0.000 (0.002) Loss 1.1466 (1.3735) Prec@1 74.219 (68.142) Prec@5 87.500 (86.731) Epoch: [71][2460/10010] Time 0.309 (0.327) Data 0.001 (0.002) Loss 0.9348 (1.3732) Prec@1 77.344 (68.143) Prec@5 94.531 (86.738) Epoch: [71][2470/10010] Time 0.316 (0.327) Data 0.001 (0.002) Loss 1.3748 (1.3736) Prec@1 70.312 (68.133) Prec@5 85.938 (86.733) Epoch: [71][2480/10010] Time 0.332 (0.327) Data 0.001 (0.002) Loss 1.1664 (1.3733) Prec@1 71.875 (68.138) Prec@5 89.844 (86.731) Epoch: [71][2490/10010] Time 0.330 (0.327) Data 0.000 (0.002) Loss 1.3983 (1.3733) Prec@1 64.062 (68.140) Prec@5 85.938 (86.731) Epoch: [71][2500/10010] Time 0.319 (0.327) Data 0.000 (0.002) Loss 1.2698 (1.3734) Prec@1 69.531 (68.139) Prec@5 88.281 (86.727) Epoch: [71][2510/10010] Time 0.332 (0.327) Data 0.001 (0.002) Loss 1.3193 (1.3732) Prec@1 69.531 (68.143) Prec@5 89.844 (86.730) Epoch: [71][2520/10010] Time 0.336 (0.327) Data 0.000 (0.002) Loss 1.6535 (1.3735) Prec@1 62.500 (68.140) Prec@5 84.375 (86.726) Epoch: [71][2530/10010] Time 0.324 (0.327) Data 0.001 (0.002) Loss 1.2022 (1.3737) Prec@1 73.438 (68.135) Prec@5 86.719 (86.722) Epoch: [71][2540/10010] Time 0.332 (0.327) Data 0.001 (0.002) Loss 1.4905 (1.3734) Prec@1 67.188 (68.142) Prec@5 83.594 (86.726) Epoch: [71][2550/10010] Time 0.332 (0.327) Data 0.001 (0.002) Loss 1.3024 (1.3734) Prec@1 71.094 (68.142) Prec@5 89.062 (86.726) Epoch: [71][2560/10010] Time 0.329 (0.327) Data 0.001 (0.002) Loss 1.2337 (1.3734) Prec@1 74.219 (68.138) Prec@5 89.062 (86.727) Epoch: [71][2570/10010] Time 0.335 (0.327) Data 0.001 (0.002) Loss 1.2963 (1.3734) Prec@1 71.094 (68.140) Prec@5 85.156 (86.726) Epoch: [71][2580/10010] Time 0.321 (0.327) Data 0.000 (0.002) Loss 1.2653 (1.3734) Prec@1 67.188 (68.136) Prec@5 85.938 (86.729) Epoch: [71][2590/10010] Time 0.339 (0.327) Data 0.001 (0.002) Loss 1.4191 (1.3735) Prec@1 71.094 (68.138) Prec@5 85.156 (86.730) Epoch: [71][2600/10010] Time 0.318 (0.327) Data 0.001 (0.002) Loss 1.2727 (1.3734) Prec@1 67.969 (68.135) Prec@5 87.500 (86.729) Epoch: [71][2610/10010] Time 0.318 (0.327) Data 0.001 (0.002) Loss 1.6764 (1.3735) Prec@1 62.500 (68.131) Prec@5 82.812 (86.728) Epoch: [71][2620/10010] Time 0.335 (0.327) Data 0.001 (0.002) Loss 1.2907 (1.3737) Prec@1 69.531 (68.133) Prec@5 86.719 (86.726) Epoch: [71][2630/10010] Time 0.332 (0.327) Data 0.000 (0.002) Loss 1.4339 (1.3735) Prec@1 64.844 (68.133) Prec@5 86.719 (86.728) Epoch: [71][2640/10010] Time 0.333 (0.327) Data 0.000 (0.002) Loss 1.1091 (1.3733) Prec@1 73.438 (68.136) Prec@5 89.844 (86.732) Epoch: [71][2650/10010] Time 0.324 (0.327) Data 0.001 (0.002) Loss 1.7653 (1.3736) Prec@1 62.500 (68.133) Prec@5 78.906 (86.726) Epoch: [71][2660/10010] Time 0.321 (0.327) Data 0.000 (0.002) Loss 1.2272 (1.3737) Prec@1 71.875 (68.133) Prec@5 87.500 (86.723) Epoch: [71][2670/10010] Time 0.335 (0.327) Data 0.000 (0.002) Loss 1.3848 (1.3738) Prec@1 67.188 (68.129) Prec@5 87.500 (86.721) Epoch: [71][2680/10010] Time 0.321 (0.327) Data 0.000 (0.002) Loss 1.6212 (1.3744) Prec@1 65.625 (68.119) Prec@5 85.938 (86.713) Epoch: [71][2690/10010] Time 0.322 (0.327) Data 0.001 (0.002) Loss 1.4522 (1.3747) Prec@1 64.844 (68.114) Prec@5 85.156 (86.709) Epoch: [71][2700/10010] Time 0.333 (0.327) Data 0.001 (0.002) Loss 1.2341 (1.3745) Prec@1 71.094 (68.119) Prec@5 86.719 (86.709) Epoch: [71][2710/10010] Time 0.320 (0.327) Data 0.000 (0.002) Loss 1.2747 (1.3743) Prec@1 71.875 (68.127) Prec@5 85.938 (86.710) Epoch: [71][2720/10010] Time 0.334 (0.327) Data 0.001 (0.002) Loss 1.0647 (1.3741) Prec@1 74.219 (68.127) Prec@5 92.188 (86.713) Epoch: [71][2730/10010] Time 0.330 (0.327) Data 0.001 (0.002) Loss 1.2341 (1.3740) Prec@1 69.531 (68.127) Prec@5 88.281 (86.716) Epoch: [71][2740/10010] Time 0.319 (0.327) Data 0.001 (0.002) Loss 1.3910 (1.3741) Prec@1 71.094 (68.124) Prec@5 84.375 (86.714) Epoch: [71][2750/10010] Time 0.333 (0.327) Data 0.001 (0.002) Loss 1.2106 (1.3740) Prec@1 72.656 (68.131) Prec@5 92.188 (86.716) Epoch: [71][2760/10010] Time 0.322 (0.327) Data 0.001 (0.002) Loss 1.4386 (1.3741) Prec@1 66.406 (68.127) Prec@5 86.719 (86.714) Epoch: [71][2770/10010] Time 0.323 (0.327) Data 0.001 (0.002) Loss 1.3303 (1.3738) Prec@1 65.625 (68.133) Prec@5 87.500 (86.716) Epoch: [71][2780/10010] Time 0.319 (0.327) Data 0.001 (0.002) Loss 1.2254 (1.3736) Prec@1 73.438 (68.138) Prec@5 89.062 (86.720) Epoch: [71][2790/10010] Time 0.339 (0.327) Data 0.001 (0.002) Loss 1.4248 (1.3736) Prec@1 64.844 (68.136) Prec@5 85.156 (86.715) Epoch: [71][2800/10010] Time 0.326 (0.327) Data 0.001 (0.002) Loss 1.2780 (1.3738) Prec@1 69.531 (68.133) Prec@5 85.938 (86.712) Epoch: [71][2810/10010] Time 0.318 (0.327) Data 0.000 (0.002) Loss 1.3944 (1.3739) Prec@1 69.531 (68.128) Prec@5 89.062 (86.712) Epoch: [71][2820/10010] Time 0.320 (0.327) Data 0.001 (0.002) Loss 1.2238 (1.3741) Prec@1 69.531 (68.123) Prec@5 88.281 (86.710) Epoch: [71][2830/10010] Time 0.322 (0.327) Data 0.000 (0.002) Loss 1.6816 (1.3743) Prec@1 65.625 (68.121) Prec@5 82.031 (86.704) Epoch: [71][2840/10010] Time 0.330 (0.327) Data 0.000 (0.002) Loss 1.3638 (1.3743) Prec@1 67.188 (68.124) Prec@5 89.062 (86.705) Epoch: [71][2850/10010] Time 0.336 (0.327) Data 0.001 (0.002) Loss 1.4836 (1.3745) Prec@1 70.312 (68.124) Prec@5 86.719 (86.705) Epoch: [71][2860/10010] Time 0.324 (0.327) Data 0.000 (0.002) Loss 1.3583 (1.3741) Prec@1 67.188 (68.130) Prec@5 85.156 (86.709) Epoch: [71][2870/10010] Time 0.331 (0.327) Data 0.000 (0.002) Loss 1.3174 (1.3738) Prec@1 71.094 (68.138) Prec@5 84.375 (86.711) Epoch: [71][2880/10010] Time 0.322 (0.327) Data 0.001 (0.002) Loss 1.4967 (1.3736) Prec@1 64.844 (68.139) Prec@5 86.719 (86.715) Epoch: [71][2890/10010] Time 0.315 (0.327) Data 0.001 (0.002) Loss 1.3142 (1.3734) Prec@1 70.312 (68.142) Prec@5 87.500 (86.716) Epoch: [71][2900/10010] Time 0.316 (0.327) Data 0.001 (0.002) Loss 1.2678 (1.3735) Prec@1 70.312 (68.143) Prec@5 87.500 (86.714) Epoch: [71][2910/10010] Time 0.332 (0.327) Data 0.001 (0.002) Loss 1.3299 (1.3735) Prec@1 70.312 (68.151) Prec@5 90.625 (86.713) Epoch: [71][2920/10010] Time 0.325 (0.327) Data 0.001 (0.002) Loss 1.2879 (1.3735) Prec@1 70.312 (68.153) Prec@5 87.500 (86.713) Epoch: [71][2930/10010] Time 0.314 (0.327) Data 0.001 (0.002) Loss 1.5090 (1.3740) Prec@1 63.281 (68.145) Prec@5 80.469 (86.708) Epoch: [71][2940/10010] Time 0.316 (0.327) Data 0.000 (0.002) Loss 1.4179 (1.3736) Prec@1 71.094 (68.156) Prec@5 84.375 (86.713) Epoch: [71][2950/10010] Time 0.334 (0.327) Data 0.001 (0.002) Loss 1.7234 (1.3739) Prec@1 61.719 (68.153) Prec@5 82.812 (86.708) Epoch: [71][2960/10010] Time 0.317 (0.327) Data 0.001 (0.002) Loss 1.2653 (1.3742) Prec@1 68.750 (68.145) Prec@5 89.844 (86.706) Epoch: [71][2970/10010] Time 0.342 (0.327) Data 0.000 (0.002) Loss 1.8739 (1.3743) Prec@1 64.062 (68.139) Prec@5 79.688 (86.705) Epoch: [71][2980/10010] Time 0.323 (0.327) Data 0.000 (0.002) Loss 1.0761 (1.3743) Prec@1 76.562 (68.141) Prec@5 92.969 (86.707) Epoch: [71][2990/10010] Time 0.326 (0.327) Data 0.001 (0.002) Loss 1.4775 (1.3745) Prec@1 60.938 (68.139) Prec@5 85.156 (86.704) Epoch: [71][3000/10010] Time 0.341 (0.327) Data 0.000 (0.002) Loss 1.3960 (1.3745) Prec@1 66.406 (68.138) Prec@5 88.281 (86.708) Epoch: [71][3010/10010] Time 0.316 (0.327) Data 0.001 (0.002) Loss 1.4179 (1.3746) Prec@1 69.531 (68.136) Prec@5 87.500 (86.709) Epoch: [71][3020/10010] Time 0.330 (0.327) Data 0.001 (0.002) Loss 1.3139 (1.3743) Prec@1 71.875 (68.143) Prec@5 88.281 (86.712) Epoch: [71][3030/10010] Time 0.330 (0.327) Data 0.001 (0.002) Loss 1.4765 (1.3744) Prec@1 65.625 (68.138) Prec@5 85.156 (86.711) Epoch: [71][3040/10010] Time 0.318 (0.327) Data 0.001 (0.002) Loss 1.2591 (1.3745) Prec@1 67.969 (68.137) Prec@5 89.844 (86.706) Epoch: [71][3050/10010] Time 0.321 (0.327) Data 0.001 (0.002) Loss 1.3722 (1.3744) Prec@1 70.312 (68.137) Prec@5 85.156 (86.707) Epoch: [71][3060/10010] Time 0.329 (0.327) Data 0.000 (0.002) Loss 1.3242 (1.3744) Prec@1 67.969 (68.141) Prec@5 85.938 (86.708) Epoch: [71][3070/10010] Time 0.333 (0.327) Data 0.001 (0.002) Loss 1.1606 (1.3746) Prec@1 73.438 (68.139) Prec@5 87.500 (86.708) Epoch: [71][3080/10010] Time 0.336 (0.327) Data 0.001 (0.002) Loss 1.3396 (1.3747) Prec@1 71.875 (68.136) Prec@5 85.156 (86.707) Epoch: [71][3090/10010] Time 0.332 (0.327) Data 0.001 (0.002) Loss 1.2487 (1.3747) Prec@1 69.531 (68.141) Prec@5 89.062 (86.706) Epoch: [71][3100/10010] Time 0.319 (0.327) Data 0.001 (0.002) Loss 1.6301 (1.3750) Prec@1 64.062 (68.132) Prec@5 81.250 (86.702) Epoch: [71][3110/10010] Time 0.311 (0.327) Data 0.001 (0.002) Loss 1.5416 (1.3750) Prec@1 64.062 (68.134) Prec@5 84.375 (86.702) Epoch: [71][3120/10010] Time 0.335 (0.327) Data 0.000 (0.002) Loss 1.3237 (1.3753) Prec@1 67.969 (68.129) Prec@5 89.062 (86.696) Epoch: [71][3130/10010] Time 0.343 (0.327) Data 0.000 (0.002) Loss 1.7402 (1.3756) Prec@1 60.156 (68.121) Prec@5 82.031 (86.690) Epoch: [71][3140/10010] Time 0.340 (0.327) Data 0.000 (0.002) Loss 1.3871 (1.3756) Prec@1 71.094 (68.123) Prec@5 85.156 (86.689) Epoch: [71][3150/10010] Time 0.319 (0.327) Data 0.001 (0.002) Loss 1.1690 (1.3756) Prec@1 67.188 (68.121) Prec@5 91.406 (86.693) Epoch: [71][3160/10010] Time 0.339 (0.327) Data 0.000 (0.002) Loss 1.2658 (1.3754) Prec@1 67.969 (68.123) Prec@5 89.062 (86.698) Epoch: [71][3170/10010] Time 0.328 (0.327) Data 0.000 (0.002) Loss 1.3278 (1.3753) Prec@1 68.750 (68.122) Prec@5 86.719 (86.701) Epoch: [71][3180/10010] Time 0.313 (0.327) Data 0.001 (0.001) Loss 1.3649 (1.3751) Prec@1 67.188 (68.125) Prec@5 88.281 (86.706) Epoch: [71][3190/10010] Time 0.338 (0.327) Data 0.001 (0.001) Loss 1.4431 (1.3754) Prec@1 64.062 (68.122) Prec@5 86.719 (86.700) Epoch: [71][3200/10010] Time 0.341 (0.327) Data 0.000 (0.001) Loss 1.1419 (1.3753) Prec@1 71.094 (68.122) Prec@5 90.625 (86.699) Epoch: [71][3210/10010] Time 0.327 (0.327) Data 0.001 (0.001) Loss 1.3893 (1.3753) Prec@1 69.531 (68.124) Prec@5 85.938 (86.700) Epoch: [71][3220/10010] Time 0.312 (0.327) Data 0.001 (0.001) Loss 1.2003 (1.3753) Prec@1 71.094 (68.128) Prec@5 89.062 (86.701) Epoch: [71][3230/10010] Time 0.325 (0.327) Data 0.001 (0.001) Loss 1.5211 (1.3754) Prec@1 68.750 (68.127) Prec@5 84.375 (86.698) Epoch: [71][3240/10010] Time 0.325 (0.327) Data 0.000 (0.001) Loss 1.2510 (1.3752) Prec@1 72.656 (68.128) Prec@5 88.281 (86.700) Epoch: [71][3250/10010] Time 0.320 (0.327) Data 0.000 (0.001) Loss 1.1646 (1.3749) Prec@1 75.000 (68.130) Prec@5 89.844 (86.708) Epoch: [71][3260/10010] Time 0.343 (0.327) Data 0.001 (0.001) Loss 1.4557 (1.3751) Prec@1 62.500 (68.128) Prec@5 86.719 (86.707) Epoch: [71][3270/10010] Time 0.314 (0.327) Data 0.001 (0.001) Loss 1.4255 (1.3751) Prec@1 65.625 (68.128) Prec@5 85.938 (86.708) Epoch: [71][3280/10010] Time 0.339 (0.327) Data 0.001 (0.001) Loss 1.5056 (1.3751) Prec@1 62.500 (68.129) Prec@5 80.469 (86.708) Epoch: [71][3290/10010] Time 0.320 (0.327) Data 0.000 (0.001) Loss 1.4135 (1.3753) Prec@1 59.375 (68.122) Prec@5 85.938 (86.705) Epoch: [71][3300/10010] Time 0.338 (0.327) Data 0.001 (0.001) Loss 1.3243 (1.3749) Prec@1 68.750 (68.125) Prec@5 90.625 (86.710) /data/vision/torralba/deepscene/lib/anaconda2/lib/python2.7/site-packages/PIL/TiffImagePlugin.py:692: UserWarning: Possibly corrupt EXIF data. Expecting to read 2555904 bytes but only got 0. Skipping tag 0 "Skipping tag %s" % (size, len(data), tag)) Epoch: [71][3310/10010] Time 0.339 (0.327) Data 0.001 (0.001) Loss 1.8068 (1.3751) Prec@1 60.156 (68.124) Prec@5 78.906 (86.708) Epoch: [71][3320/10010] Time 0.316 (0.327) Data 0.000 (0.001) Loss 1.3336 (1.3753) Prec@1 68.750 (68.113) Prec@5 87.500 (86.707) Epoch: [71][3330/10010] Time 0.325 (0.327) Data 0.000 (0.001) Loss 1.1633 (1.3753) Prec@1 72.656 (68.115) Prec@5 87.500 (86.708) Epoch: [71][3340/10010] Time 0.340 (0.327) Data 0.001 (0.001) Loss 1.5530 (1.3758) Prec@1 60.938 (68.106) Prec@5 84.375 (86.704) Epoch: [71][3350/10010] Time 0.319 (0.327) Data 0.000 (0.001) Loss 1.2257 (1.3757) Prec@1 76.562 (68.109) Prec@5 87.500 (86.705) Epoch: [71][3360/10010] Time 0.335 (0.327) Data 0.001 (0.001) Loss 1.1693 (1.3758) Prec@1 70.312 (68.107) Prec@5 92.188 (86.704) Epoch: [71][3370/10010] Time 0.336 (0.327) Data 0.001 (0.001) Loss 1.5113 (1.3760) Prec@1 64.844 (68.103) Prec@5 88.281 (86.704) Epoch: [71][3380/10010] Time 0.316 (0.327) Data 0.001 (0.001) Loss 1.2638 (1.3759) Prec@1 69.531 (68.105) Prec@5 87.500 (86.706) Epoch: [71][3390/10010] Time 0.312 (0.327) Data 0.001 (0.001) Loss 1.6002 (1.3761) Prec@1 61.719 (68.101) Prec@5 81.250 (86.703) Epoch: [71][3400/10010] Time 0.311 (0.327) Data 0.001 (0.001) Loss 1.6480 (1.3762) Prec@1 63.281 (68.099) Prec@5 80.469 (86.701) Epoch: [71][3410/10010] Time 0.336 (0.327) Data 0.001 (0.001) Loss 1.6890 (1.3760) Prec@1 61.719 (68.100) Prec@5 79.688 (86.703) Epoch: [71][3420/10010] Time 0.317 (0.327) Data 0.001 (0.001) Loss 1.3630 (1.3760) Prec@1 65.625 (68.101) Prec@5 86.719 (86.705) Epoch: [71][3430/10010] Time 0.319 (0.327) Data 0.001 (0.001) Loss 1.1586 (1.3759) Prec@1 72.656 (68.104) Prec@5 89.844 (86.706) Epoch: [71][3440/10010] Time 0.313 (0.327) Data 0.000 (0.001) Loss 1.3473 (1.3760) Prec@1 70.312 (68.103) Prec@5 86.719 (86.705) Epoch: [71][3450/10010] Time 0.332 (0.327) Data 0.001 (0.001) Loss 1.4799 (1.3760) Prec@1 67.969 (68.103) Prec@5 85.938 (86.707) Epoch: [71][3460/10010] Time 0.320 (0.327) Data 0.001 (0.001) Loss 1.3752 (1.3759) Prec@1 69.531 (68.105) Prec@5 85.938 (86.709) Epoch: [71][3470/10010] Time 0.321 (0.327) Data 0.001 (0.001) Loss 1.2308 (1.3760) Prec@1 69.531 (68.102) Prec@5 89.062 (86.706) Epoch: [71][3480/10010] Time 0.321 (0.327) Data 0.001 (0.001) Loss 1.3324 (1.3762) Prec@1 69.531 (68.099) Prec@5 89.062 (86.703) Epoch: [71][3490/10010] Time 0.337 (0.327) Data 0.001 (0.001) Loss 1.3472 (1.3761) Prec@1 69.531 (68.101) Prec@5 89.062 (86.703) Epoch: [71][3500/10010] Time 0.326 (0.327) Data 0.000 (0.001) Loss 1.3281 (1.3762) Prec@1 70.312 (68.098) Prec@5 89.062 (86.701) Epoch: [71][3510/10010] Time 0.332 (0.327) Data 0.000 (0.001) Loss 1.2515 (1.3763) Prec@1 65.625 (68.096) Prec@5 89.844 (86.703) Epoch: [71][3520/10010] Time 0.343 (0.327) Data 0.000 (0.001) Loss 1.3360 (1.3763) Prec@1 67.188 (68.095) Prec@5 86.719 (86.703) Epoch: [71][3530/10010] Time 0.325 (0.327) Data 0.001 (0.001) Loss 1.3781 (1.3764) Prec@1 61.719 (68.095) Prec@5 89.844 (86.702) Epoch: [71][3540/10010] Time 0.315 (0.327) Data 0.001 (0.001) Loss 1.6414 (1.3763) Prec@1 60.156 (68.094) Prec@5 78.906 (86.704) Epoch: [71][3550/10010] Time 0.339 (0.327) Data 0.001 (0.001) Loss 1.4811 (1.3768) Prec@1 71.094 (68.081) Prec@5 85.156 (86.695) Epoch: [71][3560/10010] Time 0.327 (0.327) Data 0.001 (0.001) Loss 1.4161 (1.3771) Prec@1 65.625 (68.075) Prec@5 84.375 (86.690) Epoch: [71][3570/10010] Time 0.315 (0.327) Data 0.001 (0.001) Loss 1.7129 (1.3773) Prec@1 58.594 (68.074) Prec@5 82.812 (86.687) Epoch: [71][3580/10010] Time 0.318 (0.327) Data 0.001 (0.001) Loss 1.5593 (1.3773) Prec@1 68.750 (68.080) Prec@5 85.938 (86.689) Epoch: [71][3590/10010] Time 0.318 (0.327) Data 0.001 (0.001) Loss 1.4432 (1.3773) Prec@1 67.188 (68.079) Prec@5 85.156 (86.689) Epoch: [71][3600/10010] Time 0.326 (0.327) Data 0.001 (0.001) Loss 1.4316 (1.3771) Prec@1 65.625 (68.082) Prec@5 82.812 (86.691) Epoch: [71][3610/10010] Time 0.317 (0.327) Data 0.001 (0.001) Loss 1.3414 (1.3772) Prec@1 66.406 (68.080) Prec@5 86.719 (86.689) Epoch: [71][3620/10010] Time 0.321 (0.327) Data 0.001 (0.001) Loss 1.3845 (1.3774) Prec@1 68.750 (68.078) Prec@5 84.375 (86.684) Epoch: [71][3630/10010] Time 0.321 (0.327) Data 0.001 (0.001) Loss 1.5385 (1.3771) Prec@1 60.938 (68.085) Prec@5 85.156 (86.689) Epoch: [71][3640/10010] Time 0.321 (0.327) Data 0.000 (0.001) Loss 1.1333 (1.3772) Prec@1 69.531 (68.085) Prec@5 88.281 (86.687) Epoch: [71][3650/10010] Time 0.337 (0.327) Data 0.000 (0.001) Loss 1.7158 (1.3772) Prec@1 60.156 (68.085) Prec@5 82.031 (86.688) Epoch: [71][3660/10010] Time 0.324 (0.327) Data 0.001 (0.001) Loss 1.6124 (1.3773) Prec@1 66.406 (68.085) Prec@5 81.250 (86.688) Epoch: [71][3670/10010] Time 0.311 (0.327) Data 0.001 (0.001) Loss 1.4088 (1.3773) Prec@1 68.750 (68.084) Prec@5 85.938 (86.687) Epoch: [71][3680/10010] Time 0.321 (0.327) Data 0.001 (0.001) Loss 1.6298 (1.3773) Prec@1 60.938 (68.088) Prec@5 80.469 (86.688) Epoch: [71][3690/10010] Time 0.314 (0.327) Data 0.001 (0.001) Loss 1.4207 (1.3774) Prec@1 66.406 (68.086) Prec@5 84.375 (86.686) Epoch: [71][3700/10010] Time 0.318 (0.327) Data 0.001 (0.001) Loss 1.4696 (1.3775) Prec@1 70.312 (68.086) Prec@5 87.500 (86.686) Epoch: [71][3710/10010] Time 0.324 (0.327) Data 0.001 (0.001) Loss 1.4913 (1.3775) Prec@1 60.938 (68.085) Prec@5 87.500 (86.684) Epoch: [71][3720/10010] Time 0.330 (0.327) Data 0.000 (0.001) Loss 1.3663 (1.3777) Prec@1 69.531 (68.080) Prec@5 85.156 (86.679) Epoch: [71][3730/10010] Time 0.318 (0.327) Data 0.001 (0.001) Loss 1.5042 (1.3778) Prec@1 64.062 (68.078) Prec@5 82.031 (86.676) Epoch: [71][3740/10010] Time 0.329 (0.327) Data 0.001 (0.001) Loss 1.1923 (1.3777) Prec@1 69.531 (68.081) Prec@5 92.969 (86.677) Epoch: [71][3750/10010] Time 0.335 (0.327) Data 0.000 (0.001) Loss 1.3472 (1.3778) Prec@1 67.969 (68.079) Prec@5 86.719 (86.676) Epoch: [71][3760/10010] Time 0.338 (0.327) Data 0.000 (0.001) Loss 1.8306 (1.3781) Prec@1 60.938 (68.075) Prec@5 82.031 (86.672) Epoch: [71][3770/10010] Time 0.322 (0.327) Data 0.001 (0.001) Loss 1.1950 (1.3779) Prec@1 71.875 (68.081) Prec@5 90.625 (86.675) Epoch: [71][3780/10010] Time 0.329 (0.327) Data 0.001 (0.001) Loss 1.3295 (1.3780) Prec@1 71.094 (68.079) Prec@5 88.281 (86.673) Epoch: [71][3790/10010] Time 0.314 (0.327) Data 0.000 (0.001) Loss 1.5328 (1.3781) Prec@1 62.500 (68.078) Prec@5 84.375 (86.670) Epoch: [71][3800/10010] Time 0.331 (0.327) Data 0.000 (0.001) Loss 1.1473 (1.3780) Prec@1 72.656 (68.080) Prec@5 89.062 (86.670) Epoch: [71][3810/10010] Time 0.314 (0.327) Data 0.001 (0.001) Loss 1.4664 (1.3781) Prec@1 63.281 (68.075) Prec@5 82.812 (86.669) Epoch: [71][3820/10010] Time 0.319 (0.327) Data 0.000 (0.001) Loss 1.6044 (1.3782) Prec@1 55.469 (68.072) Prec@5 83.594 (86.669) Epoch: [71][3830/10010] Time 0.318 (0.327) Data 0.001 (0.001) Loss 1.3346 (1.3779) Prec@1 72.656 (68.077) Prec@5 86.719 (86.672) Epoch: [71][3840/10010] Time 0.323 (0.327) Data 0.001 (0.001) Loss 1.2974 (1.3782) Prec@1 75.000 (68.070) Prec@5 89.844 (86.666) Epoch: [71][3850/10010] Time 0.342 (0.327) Data 0.000 (0.001) Loss 1.4726 (1.3784) Prec@1 64.062 (68.068) Prec@5 85.156 (86.665) Epoch: [71][3860/10010] Time 0.334 (0.327) Data 0.001 (0.001) Loss 1.2457 (1.3784) Prec@1 70.312 (68.067) Prec@5 89.062 (86.665) Epoch: [71][3870/10010] Time 0.318 (0.327) Data 0.001 (0.001) Loss 1.5189 (1.3782) Prec@1 58.594 (68.068) Prec@5 86.719 (86.670) Epoch: [71][3880/10010] Time 0.318 (0.327) Data 0.000 (0.001) Loss 1.3303 (1.3781) Prec@1 67.188 (68.068) Prec@5 89.844 (86.671) Epoch: [71][3890/10010] Time 0.324 (0.327) Data 0.001 (0.001) Loss 1.5157 (1.3784) Prec@1 71.094 (68.065) Prec@5 83.594 (86.666) Epoch: [71][3900/10010] Time 0.328 (0.327) Data 0.000 (0.001) Loss 1.4115 (1.3783) Prec@1 66.406 (68.068) Prec@5 88.281 (86.668) Epoch: [71][3910/10010] Time 0.314 (0.327) Data 0.001 (0.001) Loss 1.2481 (1.3781) Prec@1 72.656 (68.073) Prec@5 89.062 (86.670) Epoch: [71][3920/10010] Time 0.343 (0.327) Data 0.000 (0.001) Loss 1.2030 (1.3781) Prec@1 68.750 (68.071) Prec@5 89.062 (86.669) Epoch: [71][3930/10010] Time 0.332 (0.327) Data 0.001 (0.001) Loss 1.4229 (1.3782) Prec@1 70.312 (68.073) Prec@5 86.719 (86.669) Epoch: [71][3940/10010] Time 0.333 (0.327) Data 0.001 (0.001) Loss 1.1457 (1.3784) Prec@1 71.094 (68.072) Prec@5 89.062 (86.665) Epoch: [71][3950/10010] Time 0.322 (0.327) Data 0.000 (0.001) Loss 1.5287 (1.3784) Prec@1 64.844 (68.072) Prec@5 84.375 (86.666) Epoch: [71][3960/10010] Time 0.329 (0.327) Data 0.000 (0.001) Loss 1.0324 (1.3783) Prec@1 71.094 (68.071) Prec@5 92.188 (86.667) Epoch: [71][3970/10010] Time 0.329 (0.327) Data 0.001 (0.001) Loss 1.2567 (1.3783) Prec@1 70.312 (68.069) Prec@5 87.500 (86.667) Epoch: [71][3980/10010] Time 0.340 (0.327) Data 0.001 (0.001) Loss 1.2972 (1.3783) Prec@1 67.188 (68.067) Prec@5 87.500 (86.666) Epoch: [71][3990/10010] Time 0.331 (0.327) Data 0.001 (0.001) Loss 1.4085 (1.3783) Prec@1 70.312 (68.064) Prec@5 85.156 (86.665) Epoch: [71][4000/10010] Time 0.331 (0.327) Data 0.001 (0.001) Loss 1.3944 (1.3785) Prec@1 67.188 (68.060) Prec@5 85.938 (86.662) Epoch: [71][4010/10010] Time 0.339 (0.327) Data 0.001 (0.001) Loss 1.2400 (1.3785) Prec@1 71.094 (68.060) Prec@5 88.281 (86.662) Epoch: [71][4020/10010] Time 0.323 (0.327) Data 0.001 (0.001) Loss 1.3155 (1.3786) Prec@1 72.656 (68.062) Prec@5 86.719 (86.661) Epoch: [71][4030/10010] Time 0.320 (0.327) Data 0.001 (0.001) Loss 1.3048 (1.3785) Prec@1 67.188 (68.063) Prec@5 85.938 (86.662) Epoch: [71][4040/10010] Time 0.322 (0.327) Data 0.000 (0.001) Loss 1.6007 (1.3784) Prec@1 62.500 (68.063) Prec@5 81.250 (86.665) Epoch: [71][4050/10010] Time 0.315 (0.327) Data 0.003 (0.001) Loss 1.2505 (1.3784) Prec@1 71.875 (68.062) Prec@5 90.625 (86.665) Epoch: [71][4060/10010] Time 0.317 (0.327) Data 0.001 (0.001) Loss 1.4217 (1.3783) Prec@1 66.406 (68.063) Prec@5 86.719 (86.669) Epoch: [71][4070/10010] Time 0.318 (0.327) Data 0.000 (0.001) Loss 1.2048 (1.3782) Prec@1 69.531 (68.062) Prec@5 89.062 (86.671) Epoch: [71][4080/10010] Time 0.341 (0.327) Data 0.000 (0.001) Loss 1.2721 (1.3783) Prec@1 70.312 (68.060) Prec@5 85.156 (86.672) Epoch: [71][4090/10010] Time 0.324 (0.327) Data 0.001 (0.001) Loss 1.4020 (1.3783) Prec@1 67.969 (68.060) Prec@5 86.719 (86.670) Epoch: [71][4100/10010] Time 0.334 (0.327) Data 0.000 (0.001) Loss 1.2959 (1.3782) Prec@1 70.312 (68.062) Prec@5 87.500 (86.668) Epoch: [71][4110/10010] Time 0.326 (0.327) Data 0.000 (0.001) Loss 1.4074 (1.3784) Prec@1 67.969 (68.059) Prec@5 88.281 (86.666) Epoch: [71][4120/10010] Time 0.320 (0.327) Data 0.001 (0.001) Loss 1.3857 (1.3783) Prec@1 68.750 (68.062) Prec@5 85.156 (86.666) Epoch: [71][4130/10010] Time 0.318 (0.327) Data 0.001 (0.001) Loss 1.3157 (1.3783) Prec@1 67.188 (68.064) Prec@5 88.281 (86.668) /data/vision/torralba/deepscene/lib/anaconda2/lib/python2.7/site-packages/PIL/TiffImagePlugin.py:692: UserWarning: Possibly corrupt EXIF data. Expecting to read 2555904 bytes but only got 0. Skipping tag 0 "Skipping tag %s" % (size, len(data), tag)) Epoch: [71][4140/10010] Time 0.330 (0.327) Data 0.000 (0.001) Loss 1.5138 (1.3783) Prec@1 67.969 (68.063) Prec@5 86.719 (86.670) Epoch: [71][4150/10010] Time 0.337 (0.327) Data 0.000 (0.001) Loss 1.4531 (1.3783) Prec@1 62.500 (68.062) Prec@5 85.938 (86.668) Epoch: [71][4160/10010] Time 0.317 (0.327) Data 0.001 (0.001) Loss 1.2545 (1.3783) Prec@1 72.656 (68.061) Prec@5 89.062 (86.669) Epoch: [71][4170/10010] Time 0.319 (0.327) Data 0.001 (0.001) Loss 1.3211 (1.3784) Prec@1 72.656 (68.061) Prec@5 87.500 (86.666) Epoch: [71][4180/10010] Time 0.351 (0.327) Data 0.001 (0.001) Loss 1.5450 (1.3783) Prec@1 64.844 (68.064) Prec@5 80.469 (86.666) Epoch: [71][4190/10010] Time 0.321 (0.327) Data 0.000 (0.001) Loss 1.6377 (1.3784) Prec@1 64.844 (68.062) Prec@5 83.594 (86.663) Epoch: [71][4200/10010] Time 0.324 (0.327) Data 0.000 (0.001) Loss 1.5973 (1.3786) Prec@1 62.500 (68.059) Prec@5 84.375 (86.660) Epoch: [71][4210/10010] Time 0.329 (0.327) Data 0.001 (0.001) Loss 1.4852 (1.3786) Prec@1 67.969 (68.060) Prec@5 84.375 (86.661) Epoch: [71][4220/10010] Time 0.318 (0.327) Data 0.001 (0.001) Loss 1.1845 (1.3785) Prec@1 75.000 (68.064) Prec@5 89.062 (86.660) Epoch: [71][4230/10010] Time 0.329 (0.327) Data 0.001 (0.001) Loss 1.4121 (1.3785) Prec@1 67.969 (68.065) Prec@5 85.156 (86.659) Epoch: [71][4240/10010] Time 0.339 (0.327) Data 0.000 (0.001) Loss 1.4450 (1.3787) Prec@1 61.719 (68.060) Prec@5 87.500 (86.656) Epoch: [71][4250/10010] Time 0.322 (0.327) Data 0.001 (0.001) Loss 1.5023 (1.3790) Prec@1 64.844 (68.054) Prec@5 83.594 (86.651) Epoch: [71][4260/10010] Time 0.322 (0.327) Data 0.000 (0.001) Loss 1.3471 (1.3789) Prec@1 71.094 (68.059) Prec@5 86.719 (86.650) Epoch: [71][4270/10010] Time 0.310 (0.327) Data 0.001 (0.001) Loss 1.5272 (1.3789) Prec@1 67.188 (68.054) Prec@5 85.938 (86.653) Epoch: [71][4280/10010] Time 0.313 (0.327) Data 0.001 (0.001) Loss 1.3705 (1.3789) Prec@1 67.969 (68.054) Prec@5 82.812 (86.651) Epoch: [71][4290/10010] Time 0.334 (0.327) Data 0.001 (0.001) Loss 1.6032 (1.3793) Prec@1 61.719 (68.045) Prec@5 83.594 (86.644) Epoch: [71][4300/10010] Time 0.320 (0.327) Data 0.001 (0.001) Loss 1.4204 (1.3794) Prec@1 68.750 (68.045) Prec@5 85.938 (86.641) Epoch: [71][4310/10010] Time 0.333 (0.327) Data 0.001 (0.001) Loss 1.4486 (1.3795) Prec@1 61.719 (68.044) Prec@5 86.719 (86.638) Epoch: [71][4320/10010] Time 0.329 (0.327) Data 0.001 (0.001) Loss 1.2672 (1.3796) Prec@1 67.969 (68.041) Prec@5 89.062 (86.640) Epoch: [71][4330/10010] Time 0.319 (0.327) Data 0.001 (0.001) Loss 1.4588 (1.3798) Prec@1 66.406 (68.040) Prec@5 80.469 (86.637) Epoch: [71][4340/10010] Time 0.325 (0.327) Data 0.001 (0.001) Loss 1.1191 (1.3797) Prec@1 74.219 (68.041) Prec@5 88.281 (86.637) Epoch: [71][4350/10010] Time 0.332 (0.327) Data 0.000 (0.001) Loss 1.5643 (1.3797) Prec@1 66.406 (68.040) Prec@5 83.594 (86.638) Epoch: [71][4360/10010] Time 0.330 (0.327) Data 0.001 (0.001) Loss 1.5900 (1.3797) Prec@1 60.938 (68.037) Prec@5 85.156 (86.640) Epoch: [71][4370/10010] Time 0.333 (0.327) Data 0.001 (0.001) Loss 1.8110 (1.3799) Prec@1 62.500 (68.031) Prec@5 82.812 (86.636) Epoch: [71][4380/10010] Time 0.336 (0.327) Data 0.000 (0.001) Loss 1.3214 (1.3796) Prec@1 73.438 (68.035) Prec@5 87.500 (86.639) Epoch: [71][4390/10010] Time 0.335 (0.327) Data 0.001 (0.001) Loss 1.6105 (1.3797) Prec@1 63.281 (68.031) Prec@5 83.594 (86.639) Epoch: [71][4400/10010] Time 0.331 (0.327) Data 0.001 (0.001) Loss 1.0608 (1.3797) Prec@1 74.219 (68.033) Prec@5 91.406 (86.639) Epoch: [71][4410/10010] Time 0.330 (0.327) Data 0.001 (0.001) Loss 1.3451 (1.3796) Prec@1 71.875 (68.035) Prec@5 83.594 (86.640) Epoch: [71][4420/10010] Time 0.327 (0.327) Data 0.001 (0.001) Loss 1.1461 (1.3794) Prec@1 75.781 (68.038) Prec@5 90.625 (86.645) Epoch: [71][4430/10010] Time 0.318 (0.327) Data 0.001 (0.001) Loss 1.4486 (1.3796) Prec@1 67.969 (68.035) Prec@5 86.719 (86.642) Epoch: [71][4440/10010] Time 0.335 (0.327) Data 0.001 (0.001) Loss 1.4871 (1.3797) Prec@1 67.188 (68.032) Prec@5 86.719 (86.640) Epoch: [71][4450/10010] Time 0.333 (0.327) Data 0.000 (0.001) Loss 1.5756 (1.3800) Prec@1 67.188 (68.026) Prec@5 84.375 (86.637) Epoch: [71][4460/10010] Time 0.312 (0.327) Data 0.001 (0.001) Loss 1.2151 (1.3799) Prec@1 69.531 (68.030) Prec@5 88.281 (86.641) Epoch: [71][4470/10010] Time 0.338 (0.327) Data 0.000 (0.001) Loss 1.3286 (1.3800) Prec@1 64.062 (68.029) Prec@5 85.156 (86.639) Epoch: [71][4480/10010] Time 0.318 (0.327) Data 0.001 (0.001) Loss 1.5276 (1.3802) Prec@1 61.719 (68.023) Prec@5 82.812 (86.636) Epoch: [71][4490/10010] Time 0.332 (0.327) Data 0.001 (0.001) Loss 1.1658 (1.3802) Prec@1 71.875 (68.023) Prec@5 91.406 (86.634) Epoch: [71][4500/10010] Time 0.335 (0.327) Data 0.001 (0.001) Loss 1.5674 (1.3801) Prec@1 62.500 (68.024) Prec@5 83.594 (86.635) Epoch: [71][4510/10010] Time 0.313 (0.327) Data 0.001 (0.001) Loss 1.3236 (1.3801) Prec@1 68.750 (68.026) Prec@5 89.844 (86.636) Epoch: [71][4520/10010] Time 0.332 (0.327) Data 0.000 (0.001) Loss 1.6296 (1.3801) Prec@1 62.500 (68.023) Prec@5 84.375 (86.638) Epoch: [71][4530/10010] Time 0.340 (0.327) Data 0.001 (0.001) Loss 1.6330 (1.3803) Prec@1 64.844 (68.022) Prec@5 83.594 (86.636) Epoch: [71][4540/10010] Time 0.326 (0.327) Data 0.001 (0.001) Loss 1.2762 (1.3803) Prec@1 67.188 (68.021) Prec@5 89.062 (86.635) Epoch: [71][4550/10010] Time 0.318 (0.327) Data 0.003 (0.001) Loss 1.3719 (1.3801) Prec@1 72.656 (68.025) Prec@5 85.938 (86.639) Epoch: [71][4560/10010] Time 0.319 (0.327) Data 0.001 (0.001) Loss 1.1579 (1.3802) Prec@1 72.656 (68.024) Prec@5 87.500 (86.635) Epoch: [71][4570/10010] Time 0.342 (0.327) Data 0.000 (0.001) Loss 1.3168 (1.3802) Prec@1 65.625 (68.024) Prec@5 85.156 (86.634) Epoch: [71][4580/10010] Time 0.316 (0.327) Data 0.001 (0.001) Loss 1.1970 (1.3800) Prec@1 71.094 (68.026) Prec@5 90.625 (86.636) Epoch: [71][4590/10010] Time 0.338 (0.327) Data 0.001 (0.001) Loss 1.4306 (1.3801) Prec@1 68.750 (68.026) Prec@5 82.812 (86.637) Epoch: [71][4600/10010] Time 0.319 (0.327) Data 0.001 (0.001) Loss 1.6022 (1.3801) Prec@1 70.312 (68.027) Prec@5 81.250 (86.636) Epoch: [71][4610/10010] Time 0.316 (0.327) Data 0.001 (0.001) Loss 1.3314 (1.3800) Prec@1 70.312 (68.028) Prec@5 88.281 (86.637) Epoch: [71][4620/10010] Time 0.321 (0.327) Data 0.001 (0.001) Loss 1.8763 (1.3801) Prec@1 60.938 (68.027) Prec@5 79.688 (86.638) Epoch: [71][4630/10010] Time 0.319 (0.327) Data 0.001 (0.001) Loss 1.5694 (1.3800) Prec@1 67.188 (68.029) Prec@5 85.156 (86.641) Epoch: [71][4640/10010] Time 0.327 (0.327) Data 0.001 (0.001) Loss 1.6929 (1.3801) Prec@1 61.719 (68.030) Prec@5 82.031 (86.639) Epoch: [71][4650/10010] Time 0.339 (0.327) Data 0.001 (0.001) Loss 1.1829 (1.3800) Prec@1 72.656 (68.027) Prec@5 89.062 (86.639) Epoch: [71][4660/10010] Time 0.325 (0.327) Data 0.001 (0.001) Loss 1.4247 (1.3800) Prec@1 64.844 (68.027) Prec@5 85.156 (86.637) Epoch: [71][4670/10010] Time 0.322 (0.327) Data 0.001 (0.001) Loss 1.3691 (1.3801) Prec@1 67.969 (68.027) Prec@5 87.500 (86.635) Epoch: [71][4680/10010] Time 0.338 (0.327) Data 0.001 (0.001) Loss 1.5374 (1.3802) Prec@1 67.969 (68.024) Prec@5 89.062 (86.637) Epoch: [71][4690/10010] Time 0.315 (0.327) Data 0.000 (0.001) Loss 1.1201 (1.3802) Prec@1 75.781 (68.025) Prec@5 91.406 (86.637) Epoch: [71][4700/10010] Time 0.335 (0.327) Data 0.001 (0.001) Loss 1.2905 (1.3801) Prec@1 65.625 (68.028) Prec@5 88.281 (86.640) Epoch: [71][4710/10010] Time 0.334 (0.327) Data 0.001 (0.001) Loss 1.1387 (1.3801) Prec@1 71.875 (68.027) Prec@5 92.969 (86.640) Epoch: [71][4720/10010] Time 0.317 (0.327) Data 0.001 (0.001) Loss 1.4908 (1.3803) Prec@1 63.281 (68.023) Prec@5 84.375 (86.636) Epoch: [71][4730/10010] Time 0.313 (0.327) Data 0.001 (0.001) Loss 1.3849 (1.3803) Prec@1 66.406 (68.023) Prec@5 85.938 (86.637) Epoch: [71][4740/10010] Time 0.337 (0.327) Data 0.001 (0.001) Loss 1.7281 (1.3803) Prec@1 58.594 (68.020) Prec@5 83.594 (86.637) Epoch: [71][4750/10010] Time 0.337 (0.327) Data 0.001 (0.001) Loss 1.6986 (1.3804) Prec@1 59.375 (68.020) Prec@5 83.594 (86.635) Epoch: [71][4760/10010] Time 0.311 (0.327) Data 0.001 (0.001) Loss 1.4871 (1.3801) Prec@1 72.656 (68.026) Prec@5 84.375 (86.640) Epoch: [71][4770/10010] Time 0.324 (0.327) Data 0.001 (0.001) Loss 1.2882 (1.3802) Prec@1 69.531 (68.027) Prec@5 85.938 (86.639) Epoch: [71][4780/10010] Time 0.334 (0.327) Data 0.001 (0.001) Loss 1.6862 (1.3802) Prec@1 64.062 (68.027) Prec@5 80.469 (86.640) Epoch: [71][4790/10010] Time 0.318 (0.327) Data 0.001 (0.001) Loss 1.5511 (1.3802) Prec@1 66.406 (68.026) Prec@5 85.938 (86.640) Epoch: [71][4800/10010] Time 0.318 (0.327) Data 0.000 (0.001) Loss 1.4251 (1.3802) Prec@1 61.719 (68.024) Prec@5 83.594 (86.640) Epoch: [71][4810/10010] Time 0.338 (0.327) Data 0.001 (0.001) Loss 1.4772 (1.3804) Prec@1 60.156 (68.023) Prec@5 89.062 (86.638) Epoch: [71][4820/10010] Time 0.340 (0.327) Data 0.001 (0.001) Loss 1.3880 (1.3805) Prec@1 67.188 (68.019) Prec@5 85.938 (86.636) Epoch: [71][4830/10010] Time 0.309 (0.327) Data 0.001 (0.001) Loss 1.3449 (1.3806) Prec@1 69.531 (68.017) Prec@5 87.500 (86.635) Epoch: [71][4840/10010] Time 0.317 (0.327) Data 0.000 (0.001) Loss 1.7099 (1.3807) Prec@1 58.594 (68.014) Prec@5 82.031 (86.636) Epoch: [71][4850/10010] Time 0.309 (0.327) Data 0.001 (0.001) Loss 1.2043 (1.3805) Prec@1 75.000 (68.021) Prec@5 87.500 (86.639) Epoch: [71][4860/10010] Time 0.339 (0.327) Data 0.000 (0.001) Loss 1.5565 (1.3805) Prec@1 61.719 (68.020) Prec@5 82.031 (86.637) Epoch: [71][4870/10010] Time 0.340 (0.327) Data 0.001 (0.001) Loss 1.3637 (1.3806) Prec@1 65.625 (68.020) Prec@5 86.719 (86.636) Epoch: [71][4880/10010] Time 0.333 (0.327) Data 0.001 (0.001) Loss 1.3983 (1.3805) Prec@1 67.969 (68.020) Prec@5 88.281 (86.638) Epoch: [71][4890/10010] Time 0.337 (0.327) Data 0.001 (0.001) Loss 1.3491 (1.3805) Prec@1 63.281 (68.020) Prec@5 90.625 (86.639) Epoch: [71][4900/10010] Time 0.326 (0.327) Data 0.000 (0.001) Loss 1.3285 (1.3805) Prec@1 67.969 (68.023) Prec@5 86.719 (86.636) Epoch: [71][4910/10010] Time 0.328 (0.327) Data 0.001 (0.001) Loss 1.4020 (1.3804) Prec@1 67.969 (68.022) Prec@5 84.375 (86.636) Epoch: [71][4920/10010] Time 0.331 (0.327) Data 0.001 (0.001) Loss 1.6855 (1.3805) Prec@1 63.281 (68.018) Prec@5 83.594 (86.636) Epoch: [71][4930/10010] Time 0.323 (0.327) Data 0.000 (0.001) Loss 1.5249 (1.3806) Prec@1 66.406 (68.015) Prec@5 86.719 (86.634) Epoch: [71][4940/10010] Time 0.328 (0.327) Data 0.000 (0.001) Loss 1.5516 (1.3807) Prec@1 65.625 (68.015) Prec@5 82.812 (86.633) Epoch: [71][4950/10010] Time 0.339 (0.327) Data 0.002 (0.001) Loss 1.4677 (1.3806) Prec@1 65.625 (68.015) Prec@5 84.375 (86.632) Epoch: [71][4960/10010] Time 0.333 (0.327) Data 0.001 (0.001) Loss 1.4254 (1.3807) Prec@1 64.844 (68.012) Prec@5 86.719 (86.631) Epoch: [71][4970/10010] Time 0.320 (0.327) Data 0.001 (0.001) Loss 1.1841 (1.3806) Prec@1 71.875 (68.013) Prec@5 87.500 (86.630) Epoch: [71][4980/10010] Time 0.335 (0.327) Data 0.001 (0.001) Loss 1.4963 (1.3807) Prec@1 65.625 (68.010) Prec@5 85.938 (86.629) Epoch: [71][4990/10010] Time 0.330 (0.327) Data 0.000 (0.001) Loss 1.1366 (1.3806) Prec@1 72.656 (68.010) Prec@5 92.188 (86.631) Epoch: [71][5000/10010] Time 0.339 (0.327) Data 0.000 (0.001) Loss 1.6277 (1.3807) Prec@1 63.281 (68.008) Prec@5 85.156 (86.633) Epoch: [71][5010/10010] Time 0.332 (0.327) Data 0.001 (0.001) Loss 1.2750 (1.3805) Prec@1 75.000 (68.008) Prec@5 88.281 (86.635) Epoch: [71][5020/10010] Time 0.338 (0.327) Data 0.001 (0.001) Loss 1.9498 (1.3805) Prec@1 58.594 (68.011) Prec@5 78.906 (86.634) Epoch: [71][5030/10010] Time 0.332 (0.327) Data 0.000 (0.001) Loss 1.2529 (1.3803) Prec@1 71.094 (68.017) Prec@5 89.844 (86.637) Epoch: [71][5040/10010] Time 0.322 (0.327) Data 0.001 (0.001) Loss 1.5166 (1.3804) Prec@1 68.750 (68.014) Prec@5 85.938 (86.634) Epoch: [71][5050/10010] Time 0.340 (0.327) Data 0.001 (0.001) Loss 1.3823 (1.3805) Prec@1 67.969 (68.011) Prec@5 85.938 (86.632) Epoch: [71][5060/10010] Time 0.331 (0.327) Data 0.001 (0.001) Loss 1.3852 (1.3804) Prec@1 68.750 (68.013) Prec@5 84.375 (86.634) Epoch: [71][5070/10010] Time 0.317 (0.327) Data 0.001 (0.001) Loss 1.4057 (1.3804) Prec@1 65.625 (68.011) Prec@5 87.500 (86.634) Epoch: [71][5080/10010] Time 0.337 (0.327) Data 0.000 (0.001) Loss 1.1348 (1.3804) Prec@1 73.438 (68.011) Prec@5 89.844 (86.634) Epoch: [71][5090/10010] Time 0.337 (0.327) Data 0.001 (0.001) Loss 1.3022 (1.3804) Prec@1 71.875 (68.012) Prec@5 89.844 (86.634) Epoch: [71][5100/10010] Time 0.314 (0.327) Data 0.001 (0.001) Loss 1.1221 (1.3804) Prec@1 72.656 (68.013) Prec@5 91.406 (86.635) Epoch: [71][5110/10010] Time 0.339 (0.327) Data 0.001 (0.001) Loss 1.6638 (1.3804) Prec@1 67.188 (68.014) Prec@5 82.812 (86.636) Epoch: [71][5120/10010] Time 0.311 (0.327) Data 0.001 (0.001) Loss 1.5315 (1.3804) Prec@1 60.156 (68.014) Prec@5 87.500 (86.638) Epoch: [71][5130/10010] Time 0.340 (0.327) Data 0.001 (0.001) Loss 1.5397 (1.3806) Prec@1 67.969 (68.012) Prec@5 80.469 (86.633) Epoch: [71][5140/10010] Time 0.321 (0.327) Data 0.000 (0.001) Loss 1.5498 (1.3807) Prec@1 64.844 (68.009) Prec@5 85.938 (86.631) Epoch: [71][5150/10010] Time 0.320 (0.327) Data 0.000 (0.001) Loss 1.3054 (1.3807) Prec@1 66.406 (68.009) Prec@5 88.281 (86.630) Epoch: [71][5160/10010] Time 0.327 (0.327) Data 0.001 (0.001) Loss 1.2680 (1.3808) Prec@1 75.000 (68.010) Prec@5 88.281 (86.630) Epoch: [71][5170/10010] Time 0.316 (0.327) Data 0.001 (0.001) Loss 1.4044 (1.3809) Prec@1 70.312 (68.012) Prec@5 83.594 (86.629) Epoch: [71][5180/10010] Time 0.332 (0.327) Data 0.001 (0.001) Loss 1.5678 (1.3808) Prec@1 60.156 (68.014) Prec@5 87.500 (86.632) Epoch: [71][5190/10010] Time 0.333 (0.327) Data 0.001 (0.001) Loss 1.3402 (1.3807) Prec@1 68.750 (68.019) Prec@5 86.719 (86.632) Epoch: [71][5200/10010] Time 0.315 (0.327) Data 0.001 (0.001) Loss 1.2920 (1.3807) Prec@1 71.094 (68.020) Prec@5 89.062 (86.633) Epoch: [71][5210/10010] Time 0.321 (0.327) Data 0.001 (0.001) Loss 1.3603 (1.3810) Prec@1 70.312 (68.014) Prec@5 85.156 (86.630) Epoch: [71][5220/10010] Time 0.317 (0.327) Data 0.001 (0.001) Loss 1.2639 (1.3807) Prec@1 74.219 (68.020) Prec@5 90.625 (86.635) Epoch: [71][5230/10010] Time 0.342 (0.327) Data 0.001 (0.001) Loss 1.2299 (1.3806) Prec@1 69.531 (68.020) Prec@5 90.625 (86.637) Epoch: [71][5240/10010] Time 0.324 (0.327) Data 0.001 (0.001) Loss 1.1286 (1.3807) Prec@1 67.969 (68.018) Prec@5 89.844 (86.636) Epoch: [71][5250/10010] Time 0.312 (0.327) Data 0.001 (0.001) Loss 1.1358 (1.3808) Prec@1 72.656 (68.019) Prec@5 86.719 (86.634) Epoch: [71][5260/10010] Time 0.336 (0.327) Data 0.001 (0.001) Loss 1.3145 (1.3807) Prec@1 66.406 (68.021) Prec@5 89.844 (86.635) Epoch: [71][5270/10010] Time 0.326 (0.327) Data 0.000 (0.001) Loss 1.4542 (1.3809) Prec@1 61.719 (68.017) Prec@5 89.062 (86.632) Epoch: [71][5280/10010] Time 0.339 (0.327) Data 0.001 (0.001) Loss 1.3468 (1.3808) Prec@1 67.969 (68.020) Prec@5 86.719 (86.634) Epoch: [71][5290/10010] Time 0.340 (0.327) Data 0.001 (0.001) Loss 1.4591 (1.3808) Prec@1 73.438 (68.022) Prec@5 84.375 (86.634) Epoch: [71][5300/10010] Time 0.319 (0.327) Data 0.000 (0.001) Loss 1.2579 (1.3807) Prec@1 71.875 (68.025) Prec@5 88.281 (86.637) Epoch: [71][5310/10010] Time 0.321 (0.327) Data 0.001 (0.001) Loss 1.3685 (1.3807) Prec@1 69.531 (68.027) Prec@5 84.375 (86.636) Epoch: [71][5320/10010] Time 0.328 (0.327) Data 0.000 (0.001) Loss 1.0255 (1.3806) Prec@1 78.125 (68.030) Prec@5 93.750 (86.637) Epoch: [71][5330/10010] Time 0.338 (0.327) Data 0.001 (0.001) Loss 1.3124 (1.3806) Prec@1 71.094 (68.030) Prec@5 87.500 (86.636) Epoch: [71][5340/10010] Time 0.318 (0.327) Data 0.001 (0.001) Loss 1.6211 (1.3806) Prec@1 62.500 (68.027) Prec@5 80.469 (86.634) Epoch: [71][5350/10010] Time 0.333 (0.327) Data 0.000 (0.001) Loss 1.4145 (1.3807) Prec@1 64.844 (68.026) Prec@5 85.156 (86.633) Epoch: [71][5360/10010] Time 0.336 (0.327) Data 0.001 (0.001) Loss 1.4000 (1.3807) Prec@1 70.312 (68.028) Prec@5 84.375 (86.631) Epoch: [71][5370/10010] Time 0.327 (0.327) Data 0.001 (0.001) Loss 1.4050 (1.3807) Prec@1 69.531 (68.028) Prec@5 83.594 (86.630) Epoch: [71][5380/10010] Time 0.341 (0.327) Data 0.001 (0.001) Loss 1.2319 (1.3806) Prec@1 70.312 (68.029) Prec@5 87.500 (86.629) Epoch: [71][5390/10010] Time 0.318 (0.327) Data 0.001 (0.001) Loss 1.5590 (1.3806) Prec@1 63.281 (68.030) Prec@5 86.719 (86.629) Epoch: [71][5400/10010] Time 0.317 (0.327) Data 0.001 (0.001) Loss 1.3688 (1.3807) Prec@1 64.844 (68.027) Prec@5 88.281 (86.627) Epoch: [71][5410/10010] Time 0.338 (0.327) Data 0.000 (0.001) Loss 1.2359 (1.3808) Prec@1 68.750 (68.023) Prec@5 91.406 (86.627) Epoch: [71][5420/10010] Time 0.334 (0.327) Data 0.000 (0.001) Loss 1.5848 (1.3808) Prec@1 61.719 (68.024) Prec@5 85.938 (86.627) Epoch: [71][5430/10010] Time 0.319 (0.327) Data 0.001 (0.001) Loss 1.4261 (1.3809) Prec@1 67.969 (68.023) Prec@5 85.938 (86.627) Epoch: [71][5440/10010] Time 0.336 (0.327) Data 0.001 (0.001) Loss 1.4048 (1.3809) Prec@1 60.156 (68.022) Prec@5 89.062 (86.626) Epoch: [71][5450/10010] Time 0.315 (0.327) Data 0.000 (0.001) Loss 1.6185 (1.3809) Prec@1 60.156 (68.022) Prec@5 84.375 (86.630) Epoch: [71][5460/10010] Time 0.329 (0.327) Data 0.001 (0.001) Loss 1.1721 (1.3810) Prec@1 69.531 (68.022) Prec@5 91.406 (86.627) Epoch: [71][5470/10010] Time 0.332 (0.327) Data 0.000 (0.001) Loss 1.4686 (1.3811) Prec@1 67.188 (68.020) Prec@5 83.594 (86.625) Epoch: [71][5480/10010] Time 0.326 (0.327) Data 0.001 (0.001) Loss 1.6368 (1.3812) Prec@1 59.375 (68.015) Prec@5 82.031 (86.624) Epoch: [71][5490/10010] Time 0.341 (0.327) Data 0.001 (0.001) Loss 1.2692 (1.3811) Prec@1 70.312 (68.016) Prec@5 91.406 (86.626) Epoch: [71][5500/10010] Time 0.310 (0.327) Data 0.001 (0.001) Loss 1.4596 (1.3810) Prec@1 68.750 (68.019) Prec@5 85.938 (86.627) Epoch: [71][5510/10010] Time 0.322 (0.327) Data 0.000 (0.001) Loss 1.1554 (1.3809) Prec@1 73.438 (68.019) Prec@5 87.500 (86.628) Epoch: [71][5520/10010] Time 0.311 (0.327) Data 0.001 (0.001) Loss 1.2903 (1.3808) Prec@1 73.438 (68.024) Prec@5 84.375 (86.629) Epoch: [71][5530/10010] Time 0.320 (0.327) Data 0.000 (0.001) Loss 1.4746 (1.3810) Prec@1 64.844 (68.018) Prec@5 85.156 (86.627) Epoch: [71][5540/10010] Time 0.320 (0.327) Data 0.000 (0.001) Loss 1.1663 (1.3810) Prec@1 70.312 (68.022) Prec@5 89.062 (86.629) Epoch: [71][5550/10010] Time 0.323 (0.327) Data 0.001 (0.001) Loss 1.3405 (1.3809) Prec@1 68.750 (68.025) Prec@5 86.719 (86.629) Epoch: [71][5560/10010] Time 0.335 (0.327) Data 0.001 (0.001) Loss 1.1442 (1.3809) Prec@1 70.312 (68.026) Prec@5 89.844 (86.630) Epoch: [71][5570/10010] Time 0.339 (0.327) Data 0.001 (0.001) Loss 1.1630 (1.3808) Prec@1 70.312 (68.027) Prec@5 93.750 (86.632) Epoch: [71][5580/10010] Time 0.323 (0.327) Data 0.001 (0.001) Loss 1.3426 (1.3807) Prec@1 69.531 (68.031) Prec@5 85.938 (86.633) Epoch: [71][5590/10010] Time 0.332 (0.327) Data 0.001 (0.001) Loss 1.5329 (1.3808) Prec@1 67.969 (68.029) Prec@5 82.031 (86.631) Epoch: [71][5600/10010] Time 0.311 (0.327) Data 0.000 (0.001) Loss 1.7021 (1.3810) Prec@1 62.500 (68.026) Prec@5 84.375 (86.630) Epoch: [71][5610/10010] Time 0.324 (0.327) Data 0.001 (0.001) Loss 1.4311 (1.3808) Prec@1 71.094 (68.030) Prec@5 87.500 (86.633) Epoch: [71][5620/10010] Time 0.333 (0.327) Data 0.000 (0.001) Loss 1.1745 (1.3808) Prec@1 73.438 (68.029) Prec@5 89.844 (86.631) Epoch: [71][5630/10010] Time 0.315 (0.327) Data 0.001 (0.001) Loss 1.2870 (1.3807) Prec@1 69.531 (68.031) Prec@5 89.062 (86.633) Epoch: [71][5640/10010] Time 0.345 (0.327) Data 0.001 (0.001) Loss 1.3233 (1.3808) Prec@1 67.969 (68.030) Prec@5 87.500 (86.632) Epoch: [71][5650/10010] Time 0.321 (0.327) Data 0.000 (0.001) Loss 1.6156 (1.3809) Prec@1 67.969 (68.028) Prec@5 83.594 (86.631) Epoch: [71][5660/10010] Time 0.331 (0.327) Data 0.001 (0.001) Loss 1.5797 (1.3809) Prec@1 65.625 (68.026) Prec@5 82.812 (86.628) Epoch: [71][5670/10010] Time 0.321 (0.327) Data 0.001 (0.001) Loss 1.6717 (1.3811) Prec@1 64.844 (68.023) Prec@5 82.031 (86.626) Epoch: [71][5680/10010] Time 0.333 (0.327) Data 0.001 (0.001) Loss 1.3900 (1.3810) Prec@1 69.531 (68.022) Prec@5 86.719 (86.628) Epoch: [71][5690/10010] Time 0.321 (0.327) Data 0.000 (0.001) Loss 1.5532 (1.3811) Prec@1 65.625 (68.022) Prec@5 83.594 (86.626) Epoch: [71][5700/10010] Time 0.331 (0.327) Data 0.000 (0.001) Loss 1.5028 (1.3810) Prec@1 65.625 (68.022) Prec@5 84.375 (86.628) Epoch: [71][5710/10010] Time 0.328 (0.327) Data 0.001 (0.001) Loss 1.2809 (1.3810) Prec@1 73.438 (68.024) Prec@5 87.500 (86.629) Epoch: [71][5720/10010] Time 0.332 (0.327) Data 0.001 (0.001) Loss 1.5055 (1.3811) Prec@1 72.656 (68.023) Prec@5 82.812 (86.626) Epoch: [71][5730/10010] Time 0.315 (0.327) Data 0.001 (0.001) Loss 1.2576 (1.3810) Prec@1 71.875 (68.025) Prec@5 87.500 (86.626) Epoch: [71][5740/10010] Time 0.324 (0.327) Data 0.001 (0.001) Loss 1.4823 (1.3811) Prec@1 67.969 (68.022) Prec@5 82.812 (86.622) Epoch: [71][5750/10010] Time 0.320 (0.327) Data 0.001 (0.001) Loss 1.5224 (1.3812) Prec@1 67.969 (68.020) Prec@5 82.812 (86.621) Epoch: [71][5760/10010] Time 0.318 (0.327) Data 0.001 (0.001) Loss 1.2234 (1.3814) Prec@1 71.094 (68.017) Prec@5 87.500 (86.616) Epoch: [71][5770/10010] Time 0.322 (0.327) Data 0.001 (0.001) Loss 1.6293 (1.3813) Prec@1 63.281 (68.020) Prec@5 85.938 (86.616) Epoch: [71][5780/10010] Time 0.317 (0.327) Data 0.001 (0.001) Loss 1.0820 (1.3812) Prec@1 72.656 (68.021) Prec@5 90.625 (86.618) Epoch: [71][5790/10010] Time 0.329 (0.327) Data 0.000 (0.001) Loss 1.0068 (1.3810) Prec@1 75.781 (68.020) Prec@5 92.188 (86.621) Epoch: [71][5800/10010] Time 0.322 (0.327) Data 0.001 (0.001) Loss 1.4656 (1.3810) Prec@1 65.625 (68.020) Prec@5 85.938 (86.623) Epoch: [71][5810/10010] Time 0.314 (0.327) Data 0.001 (0.001) Loss 1.5577 (1.3811) Prec@1 64.062 (68.019) Prec@5 82.031 (86.623) Epoch: [71][5820/10010] Time 0.323 (0.327) Data 0.001 (0.001) Loss 1.1277 (1.3810) Prec@1 72.656 (68.022) Prec@5 92.188 (86.624) Epoch: [71][5830/10010] Time 0.326 (0.327) Data 0.001 (0.001) Loss 1.2188 (1.3811) Prec@1 67.188 (68.019) Prec@5 89.844 (86.624) Epoch: [71][5840/10010] Time 0.315 (0.327) Data 0.000 (0.001) Loss 1.2888 (1.3812) Prec@1 66.406 (68.015) Prec@5 88.281 (86.624) Epoch: [71][5850/10010] Time 0.318 (0.327) Data 0.001 (0.001) Loss 1.2692 (1.3812) Prec@1 67.188 (68.012) Prec@5 85.156 (86.622) Epoch: [71][5860/10010] Time 0.307 (0.327) Data 0.001 (0.001) Loss 1.2633 (1.3813) Prec@1 64.844 (68.010) Prec@5 88.281 (86.622) Epoch: [71][5870/10010] Time 0.326 (0.327) Data 0.001 (0.001) Loss 1.1729 (1.3813) Prec@1 71.094 (68.010) Prec@5 89.844 (86.622) Epoch: [71][5880/10010] Time 0.317 (0.327) Data 0.001 (0.001) Loss 1.3303 (1.3814) Prec@1 73.438 (68.008) Prec@5 88.281 (86.619) Epoch: [71][5890/10010] Time 0.337 (0.327) Data 0.001 (0.001) Loss 1.1891 (1.3813) Prec@1 68.750 (68.009) Prec@5 92.969 (86.620) Epoch: [71][5900/10010] Time 0.333 (0.327) Data 0.001 (0.001) Loss 1.4505 (1.3814) Prec@1 62.500 (68.007) Prec@5 88.281 (86.620) Epoch: [71][5910/10010] Time 0.325 (0.327) Data 0.000 (0.001) Loss 1.2379 (1.3814) Prec@1 73.438 (68.004) Prec@5 85.938 (86.619) Epoch: [71][5920/10010] Time 0.329 (0.327) Data 0.001 (0.001) Loss 1.4525 (1.3814) Prec@1 72.656 (68.002) Prec@5 85.938 (86.620) Epoch: [71][5930/10010] Time 0.332 (0.327) Data 0.000 (0.001) Loss 1.4785 (1.3814) Prec@1 65.625 (68.004) Prec@5 83.594 (86.620) Epoch: [71][5940/10010] Time 0.311 (0.327) Data 0.001 (0.001) Loss 1.2275 (1.3813) Prec@1 67.969 (68.005) Prec@5 90.625 (86.621) Epoch: [71][5950/10010] Time 0.333 (0.327) Data 0.002 (0.001) Loss 1.6081 (1.3814) Prec@1 67.188 (68.005) Prec@5 84.375 (86.620) Epoch: [71][5960/10010] Time 0.314 (0.327) Data 0.001 (0.001) Loss 1.5499 (1.3815) Prec@1 60.938 (68.003) Prec@5 86.719 (86.620) Epoch: [71][5970/10010] Time 0.332 (0.327) Data 0.001 (0.001) Loss 1.3510 (1.3814) Prec@1 67.969 (68.003) Prec@5 85.938 (86.619) Epoch: [71][5980/10010] Time 0.317 (0.327) Data 0.000 (0.001) Loss 1.5244 (1.3815) Prec@1 61.719 (68.002) Prec@5 87.500 (86.619) Epoch: [71][5990/10010] Time 0.331 (0.327) Data 0.001 (0.001) Loss 1.5200 (1.3814) Prec@1 64.062 (68.004) Prec@5 83.594 (86.620) Epoch: [71][6000/10010] Time 0.316 (0.327) Data 0.001 (0.001) Loss 1.1156 (1.3814) Prec@1 77.344 (68.003) Prec@5 87.500 (86.621) Epoch: [71][6010/10010] Time 0.338 (0.327) Data 0.000 (0.001) Loss 1.5242 (1.3815) Prec@1 65.625 (68.001) Prec@5 84.375 (86.621) Epoch: [71][6020/10010] Time 0.322 (0.327) Data 0.000 (0.001) Loss 1.1567 (1.3813) Prec@1 72.656 (68.004) Prec@5 89.062 (86.623) Epoch: [71][6030/10010] Time 0.330 (0.327) Data 0.001 (0.001) Loss 1.3243 (1.3812) Prec@1 65.625 (68.005) Prec@5 87.500 (86.625) Epoch: [71][6040/10010] Time 0.322 (0.327) Data 0.001 (0.001) Loss 1.3632 (1.3813) Prec@1 71.094 (68.004) Prec@5 88.281 (86.623) Epoch: [71][6050/10010] Time 0.332 (0.327) Data 0.001 (0.001) Loss 1.5240 (1.3812) Prec@1 65.625 (68.005) Prec@5 82.031 (86.623) Epoch: [71][6060/10010] Time 0.317 (0.327) Data 0.001 (0.001) Loss 1.2090 (1.3810) Prec@1 75.000 (68.010) Prec@5 89.844 (86.625) Epoch: [71][6070/10010] Time 0.324 (0.327) Data 0.001 (0.001) Loss 1.2323 (1.3809) Prec@1 69.531 (68.011) Prec@5 86.719 (86.626) Epoch: [71][6080/10010] Time 0.336 (0.327) Data 0.001 (0.001) Loss 1.3431 (1.3809) Prec@1 65.625 (68.008) Prec@5 85.156 (86.626) Epoch: [71][6090/10010] Time 0.338 (0.327) Data 0.000 (0.001) Loss 1.5291 (1.3808) Prec@1 60.938 (68.008) Prec@5 84.375 (86.627) Epoch: [71][6100/10010] Time 0.326 (0.327) Data 0.001 (0.001) Loss 1.3966 (1.3807) Prec@1 64.844 (68.010) Prec@5 87.500 (86.629) Epoch: [71][6110/10010] Time 0.309 (0.327) Data 0.001 (0.001) Loss 1.4222 (1.3807) Prec@1 65.625 (68.013) Prec@5 86.719 (86.629) Epoch: [71][6120/10010] Time 0.322 (0.327) Data 0.000 (0.001) Loss 1.3740 (1.3807) Prec@1 69.531 (68.010) Prec@5 84.375 (86.627) Epoch: [71][6130/10010] Time 0.315 (0.327) Data 0.001 (0.001) Loss 1.2841 (1.3805) Prec@1 67.188 (68.015) Prec@5 89.844 (86.630) Epoch: [71][6140/10010] Time 0.319 (0.327) Data 0.001 (0.001) Loss 1.6394 (1.3805) Prec@1 62.500 (68.015) Prec@5 82.812 (86.631) Epoch: [71][6150/10010] Time 0.316 (0.327) Data 0.000 (0.001) Loss 1.2443 (1.3805) Prec@1 73.438 (68.015) Prec@5 87.500 (86.631) Epoch: [71][6160/10010] Time 0.321 (0.327) Data 0.001 (0.001) Loss 1.0901 (1.3803) Prec@1 71.094 (68.017) Prec@5 90.625 (86.632) Epoch: [71][6170/10010] Time 0.331 (0.327) Data 0.001 (0.001) Loss 1.3498 (1.3804) Prec@1 72.656 (68.016) Prec@5 89.844 (86.632) Epoch: [71][6180/10010] Time 0.341 (0.327) Data 0.001 (0.001) Loss 1.0632 (1.3802) Prec@1 71.875 (68.020) Prec@5 92.969 (86.635) Epoch: [71][6190/10010] Time 0.320 (0.327) Data 0.000 (0.001) Loss 1.2816 (1.3803) Prec@1 69.531 (68.021) Prec@5 91.406 (86.634) Epoch: [71][6200/10010] Time 0.336 (0.327) Data 0.000 (0.001) Loss 1.1726 (1.3803) Prec@1 74.219 (68.022) Prec@5 89.062 (86.635) Epoch: [71][6210/10010] Time 0.320 (0.327) Data 0.000 (0.001) Loss 1.3451 (1.3802) Prec@1 69.531 (68.023) Prec@5 85.156 (86.633) Epoch: [71][6220/10010] Time 0.314 (0.327) Data 0.001 (0.001) Loss 1.2627 (1.3803) Prec@1 71.094 (68.022) Prec@5 88.281 (86.631) Epoch: [71][6230/10010] Time 0.337 (0.327) Data 0.000 (0.001) Loss 1.2512 (1.3802) Prec@1 71.094 (68.022) Prec@5 86.719 (86.631) Epoch: [71][6240/10010] Time 0.339 (0.327) Data 0.001 (0.001) Loss 1.3799 (1.3803) Prec@1 64.844 (68.022) Prec@5 86.719 (86.629) Epoch: [71][6250/10010] Time 0.340 (0.327) Data 0.000 (0.001) Loss 1.4155 (1.3804) Prec@1 66.406 (68.022) Prec@5 85.156 (86.629) Epoch: [71][6260/10010] Time 0.320 (0.327) Data 0.001 (0.001) Loss 1.3417 (1.3805) Prec@1 63.281 (68.019) Prec@5 85.156 (86.626) Epoch: [71][6270/10010] Time 0.320 (0.327) Data 0.000 (0.001) Loss 1.4635 (1.3805) Prec@1 64.062 (68.018) Prec@5 86.719 (86.626) Epoch: [71][6280/10010] Time 0.327 (0.327) Data 0.000 (0.001) Loss 1.2230 (1.3805) Prec@1 71.875 (68.019) Prec@5 89.844 (86.626) Epoch: [71][6290/10010] Time 0.319 (0.327) Data 0.001 (0.001) Loss 1.2269 (1.3805) Prec@1 72.656 (68.020) Prec@5 88.281 (86.627) Epoch: [71][6300/10010] Time 0.324 (0.327) Data 0.001 (0.001) Loss 1.3176 (1.3804) Prec@1 64.844 (68.020) Prec@5 88.281 (86.628) Epoch: [71][6310/10010] Time 0.335 (0.327) Data 0.000 (0.001) Loss 1.3937 (1.3805) Prec@1 68.750 (68.020) Prec@5 85.938 (86.628) Epoch: [71][6320/10010] Time 0.311 (0.327) Data 0.000 (0.001) Loss 1.2292 (1.3806) Prec@1 69.531 (68.016) Prec@5 89.844 (86.626) Epoch: [71][6330/10010] Time 0.332 (0.327) Data 0.001 (0.001) Loss 1.3953 (1.3806) Prec@1 67.188 (68.018) Prec@5 87.500 (86.626) Epoch: [71][6340/10010] Time 0.332 (0.327) Data 0.001 (0.001) Loss 1.3418 (1.3806) Prec@1 69.531 (68.017) Prec@5 85.938 (86.626) Epoch: [71][6350/10010] Time 0.343 (0.327) Data 0.001 (0.001) Loss 1.5538 (1.3806) Prec@1 64.844 (68.015) Prec@5 83.594 (86.625) Epoch: [71][6360/10010] Time 0.342 (0.327) Data 0.000 (0.001) Loss 1.4746 (1.3807) Prec@1 64.844 (68.011) Prec@5 87.500 (86.623) Epoch: [71][6370/10010] Time 0.320 (0.327) Data 0.000 (0.001) Loss 1.4227 (1.3807) Prec@1 69.531 (68.012) Prec@5 82.031 (86.622) Epoch: [71][6380/10010] Time 0.319 (0.327) Data 0.001 (0.001) Loss 1.1039 (1.3808) Prec@1 72.656 (68.011) Prec@5 91.406 (86.620) Epoch: [71][6390/10010] Time 0.338 (0.327) Data 0.000 (0.001) Loss 1.3867 (1.3807) Prec@1 68.750 (68.012) Prec@5 83.594 (86.620) Epoch: [71][6400/10010] Time 0.340 (0.327) Data 0.000 (0.001) Loss 1.3805 (1.3809) Prec@1 67.188 (68.010) Prec@5 88.281 (86.619) Epoch: [71][6410/10010] Time 0.332 (0.327) Data 0.000 (0.001) Loss 1.4205 (1.3809) Prec@1 70.312 (68.009) Prec@5 84.375 (86.618) Epoch: [71][6420/10010] Time 0.342 (0.327) Data 0.001 (0.001) Loss 1.3461 (1.3809) Prec@1 72.656 (68.011) Prec@5 86.719 (86.619) Epoch: [71][6430/10010] Time 0.342 (0.327) Data 0.001 (0.001) Loss 1.6004 (1.3810) Prec@1 62.500 (68.011) Prec@5 85.156 (86.617) Epoch: [71][6440/10010] Time 0.335 (0.327) Data 0.000 (0.001) Loss 1.2014 (1.3811) Prec@1 67.969 (68.007) Prec@5 89.062 (86.616) Epoch: [71][6450/10010] Time 0.322 (0.327) Data 0.000 (0.001) Loss 1.2497 (1.3811) Prec@1 67.969 (68.004) Prec@5 88.281 (86.615) Epoch: [71][6460/10010] Time 0.326 (0.327) Data 0.001 (0.001) Loss 1.3295 (1.3811) Prec@1 67.188 (68.004) Prec@5 88.281 (86.616) Epoch: [71][6470/10010] Time 0.328 (0.327) Data 0.000 (0.001) Loss 1.3031 (1.3810) Prec@1 71.094 (68.003) Prec@5 89.062 (86.616) Epoch: [71][6480/10010] Time 0.314 (0.327) Data 0.001 (0.001) Loss 1.4164 (1.3810) Prec@1 70.312 (68.003) Prec@5 87.500 (86.618) Epoch: [71][6490/10010] Time 0.334 (0.327) Data 0.000 (0.001) Loss 1.1047 (1.3810) Prec@1 67.188 (68.004) Prec@5 89.844 (86.616) Epoch: [71][6500/10010] Time 0.340 (0.327) Data 0.001 (0.001) Loss 1.3007 (1.3810) Prec@1 64.844 (68.002) Prec@5 89.844 (86.616) Epoch: [71][6510/10010] Time 0.319 (0.327) Data 0.001 (0.001) Loss 1.4018 (1.3809) Prec@1 66.406 (68.002) Prec@5 83.594 (86.617) Epoch: [71][6520/10010] Time 0.334 (0.327) Data 0.001 (0.001) Loss 1.1387 (1.3808) Prec@1 71.094 (67.999) Prec@5 89.844 (86.618) Epoch: [71][6530/10010] Time 0.310 (0.327) Data 0.001 (0.001) Loss 1.4649 (1.3808) Prec@1 67.969 (68.000) Prec@5 86.719 (86.618) Epoch: [71][6540/10010] Time 0.337 (0.327) Data 0.001 (0.001) Loss 1.3104 (1.3808) Prec@1 67.969 (68.001) Prec@5 87.500 (86.619) Epoch: [71][6550/10010] Time 0.313 (0.327) Data 0.000 (0.001) Loss 1.3456 (1.3807) Prec@1 68.750 (68.000) Prec@5 85.938 (86.620) Epoch: [71][6560/10010] Time 0.324 (0.327) Data 0.001 (0.001) Loss 1.4022 (1.3808) Prec@1 65.625 (67.999) Prec@5 86.719 (86.620) Epoch: [71][6570/10010] Time 0.325 (0.327) Data 0.001 (0.001) Loss 1.4416 (1.3807) Prec@1 67.188 (68.000) Prec@5 85.938 (86.621) Epoch: [71][6580/10010] Time 0.311 (0.327) Data 0.001 (0.001) Loss 1.6832 (1.3808) Prec@1 62.500 (67.997) Prec@5 82.031 (86.620) Epoch: [71][6590/10010] Time 0.320 (0.327) Data 0.000 (0.001) Loss 1.4308 (1.3810) Prec@1 69.531 (67.995) Prec@5 85.938 (86.617) Epoch: [71][6600/10010] Time 0.331 (0.327) Data 0.001 (0.001) Loss 1.2570 (1.3810) Prec@1 69.531 (67.993) Prec@5 91.406 (86.616) Epoch: [71][6610/10010] Time 0.321 (0.327) Data 0.001 (0.001) Loss 1.4287 (1.3810) Prec@1 68.750 (67.991) Prec@5 82.812 (86.616) Epoch: [71][6620/10010] Time 0.337 (0.327) Data 0.001 (0.001) Loss 1.4507 (1.3810) Prec@1 64.844 (67.990) Prec@5 83.594 (86.616) Epoch: [71][6630/10010] Time 0.340 (0.327) Data 0.001 (0.001) Loss 1.4557 (1.3810) Prec@1 67.188 (67.990) Prec@5 85.938 (86.616) Epoch: [71][6640/10010] Time 0.320 (0.327) Data 0.000 (0.001) Loss 1.5435 (1.3809) Prec@1 64.062 (67.989) Prec@5 82.812 (86.617) Epoch: [71][6650/10010] Time 0.325 (0.327) Data 0.001 (0.001) Loss 1.0393 (1.3807) Prec@1 73.438 (67.992) Prec@5 92.969 (86.620) Epoch: [71][6660/10010] Time 0.324 (0.327) Data 0.000 (0.001) Loss 1.3727 (1.3807) Prec@1 72.656 (67.992) Prec@5 86.719 (86.621) Epoch: [71][6670/10010] Time 0.319 (0.327) Data 0.001 (0.001) Loss 1.2498 (1.3806) Prec@1 69.531 (67.993) Prec@5 88.281 (86.619) Epoch: [71][6680/10010] Time 0.336 (0.327) Data 0.001 (0.001) Loss 1.1908 (1.3807) Prec@1 69.531 (67.992) Prec@5 89.062 (86.619) Epoch: [71][6690/10010] Time 0.318 (0.327) Data 0.000 (0.001) Loss 1.0777 (1.3806) Prec@1 74.219 (67.993) Prec@5 89.062 (86.619) Epoch: [71][6700/10010] Time 0.320 (0.327) Data 0.001 (0.001) Loss 1.4440 (1.3806) Prec@1 61.719 (67.994) Prec@5 86.719 (86.619) Epoch: [71][6710/10010] Time 0.316 (0.327) Data 0.001 (0.001) Loss 1.7116 (1.3805) Prec@1 62.500 (67.998) Prec@5 83.594 (86.621) Epoch: [71][6720/10010] Time 0.334 (0.327) Data 0.001 (0.001) Loss 1.4974 (1.3806) Prec@1 68.750 (67.995) Prec@5 83.594 (86.621) Epoch: [71][6730/10010] Time 0.327 (0.327) Data 0.001 (0.001) Loss 1.0202 (1.3806) Prec@1 74.219 (67.995) Prec@5 92.969 (86.620) Epoch: [71][6740/10010] Time 0.322 (0.327) Data 0.000 (0.001) Loss 1.4624 (1.3805) Prec@1 68.750 (67.997) Prec@5 83.594 (86.621) Epoch: [71][6750/10010] Time 0.336 (0.327) Data 0.001 (0.001) Loss 1.4606 (1.3805) Prec@1 64.844 (67.998) Prec@5 82.031 (86.621) Epoch: [71][6760/10010] Time 0.313 (0.327) Data 0.001 (0.001) Loss 1.2308 (1.3806) Prec@1 70.312 (67.994) Prec@5 89.062 (86.622) Epoch: [71][6770/10010] Time 0.339 (0.327) Data 0.001 (0.001) Loss 1.4627 (1.3806) Prec@1 64.062 (67.990) Prec@5 85.156 (86.623) Epoch: [71][6780/10010] Time 0.328 (0.327) Data 0.000 (0.001) Loss 1.5030 (1.3807) Prec@1 67.188 (67.988) Prec@5 85.156 (86.622) Epoch: [71][6790/10010] Time 0.325 (0.327) Data 0.001 (0.001) Loss 1.5736 (1.3807) Prec@1 62.500 (67.988) Prec@5 82.812 (86.621) Epoch: [71][6800/10010] Time 0.321 (0.327) Data 0.000 (0.001) Loss 1.3959 (1.3806) Prec@1 69.531 (67.991) Prec@5 85.938 (86.623) Epoch: [71][6810/10010] Time 0.312 (0.327) Data 0.001 (0.001) Loss 1.6209 (1.3806) Prec@1 60.938 (67.990) Prec@5 85.938 (86.622) Epoch: [71][6820/10010] Time 0.313 (0.327) Data 0.001 (0.001) Loss 1.2867 (1.3808) Prec@1 68.750 (67.986) Prec@5 90.625 (86.620) Epoch: [71][6830/10010] Time 0.338 (0.327) Data 0.001 (0.001) Loss 1.5822 (1.3807) Prec@1 62.500 (67.987) Prec@5 85.156 (86.621) Epoch: [71][6840/10010] Time 0.336 (0.327) Data 0.001 (0.001) Loss 1.1635 (1.3808) Prec@1 72.656 (67.987) Prec@5 89.062 (86.620) Epoch: [71][6850/10010] Time 0.329 (0.327) Data 0.001 (0.001) Loss 1.4003 (1.3807) Prec@1 69.531 (67.988) Prec@5 86.719 (86.621) Epoch: [71][6860/10010] Time 0.330 (0.327) Data 0.001 (0.001) Loss 1.2331 (1.3808) Prec@1 67.188 (67.987) Prec@5 86.719 (86.619) Epoch: [71][6870/10010] Time 0.314 (0.327) Data 0.001 (0.001) Loss 1.4010 (1.3808) Prec@1 64.844 (67.987) Prec@5 87.500 (86.617) Epoch: [71][6880/10010] Time 0.321 (0.327) Data 0.000 (0.001) Loss 1.3001 (1.3808) Prec@1 71.094 (67.988) Prec@5 88.281 (86.618) Epoch: [71][6890/10010] Time 0.335 (0.327) Data 0.000 (0.001) Loss 1.1818 (1.3807) Prec@1 71.875 (67.988) Prec@5 87.500 (86.619) Epoch: [71][6900/10010] Time 0.321 (0.327) Data 0.001 (0.001) Loss 1.1357 (1.3808) Prec@1 67.969 (67.986) Prec@5 90.625 (86.618) Epoch: [71][6910/10010] Time 0.320 (0.327) Data 0.000 (0.001) Loss 1.3309 (1.3809) Prec@1 66.406 (67.983) Prec@5 91.406 (86.618) Epoch: [71][6920/10010] Time 0.323 (0.327) Data 0.000 (0.001) Loss 1.3029 (1.3808) Prec@1 71.875 (67.984) Prec@5 86.719 (86.620) Epoch: [71][6930/10010] Time 0.340 (0.327) Data 0.000 (0.001) Loss 1.2802 (1.3809) Prec@1 67.188 (67.982) Prec@5 87.500 (86.619) Epoch: [71][6940/10010] Time 0.338 (0.327) Data 0.001 (0.001) Loss 1.3907 (1.3808) Prec@1 71.094 (67.983) Prec@5 88.281 (86.620) Epoch: [71][6950/10010] Time 0.326 (0.327) Data 0.001 (0.001) Loss 1.5245 (1.3809) Prec@1 64.844 (67.982) Prec@5 81.250 (86.617) Epoch: [71][6960/10010] Time 0.334 (0.327) Data 0.001 (0.001) Loss 1.4311 (1.3808) Prec@1 67.969 (67.983) Prec@5 84.375 (86.618) Epoch: [71][6970/10010] Time 0.324 (0.327) Data 0.001 (0.001) Loss 1.3074 (1.3809) Prec@1 72.656 (67.981) Prec@5 86.719 (86.615) Epoch: [71][6980/10010] Time 0.339 (0.327) Data 0.001 (0.001) Loss 1.3864 (1.3809) Prec@1 70.312 (67.982) Prec@5 84.375 (86.615) Epoch: [71][6990/10010] Time 0.334 (0.327) Data 0.001 (0.001) Loss 1.3880 (1.3810) Prec@1 71.094 (67.980) Prec@5 85.156 (86.614) Epoch: [71][7000/10010] Time 0.315 (0.327) Data 0.001 (0.001) Loss 1.5080 (1.3811) Prec@1 65.625 (67.977) Prec@5 84.375 (86.612) Epoch: [71][7010/10010] Time 0.336 (0.327) Data 0.000 (0.001) Loss 1.4107 (1.3811) Prec@1 65.625 (67.976) Prec@5 89.844 (86.613) Epoch: [71][7020/10010] Time 0.330 (0.327) Data 0.000 (0.001) Loss 1.2784 (1.3811) Prec@1 65.625 (67.977) Prec@5 91.406 (86.614) Epoch: [71][7030/10010] Time 0.326 (0.327) Data 0.000 (0.001) Loss 1.2507 (1.3810) Prec@1 71.094 (67.977) Prec@5 88.281 (86.615) Epoch: [71][7040/10010] Time 0.338 (0.327) Data 0.000 (0.001) Loss 1.4238 (1.3811) Prec@1 65.625 (67.972) Prec@5 86.719 (86.614) Epoch: [71][7050/10010] Time 0.318 (0.327) Data 0.001 (0.001) Loss 1.1637 (1.3810) Prec@1 71.094 (67.975) Prec@5 87.500 (86.616) Epoch: [71][7060/10010] Time 0.339 (0.327) Data 0.000 (0.001) Loss 1.1580 (1.3810) Prec@1 73.438 (67.975) Prec@5 89.062 (86.616) Epoch: [71][7070/10010] Time 0.315 (0.327) Data 0.000 (0.001) Loss 1.7138 (1.3811) Prec@1 58.594 (67.971) Prec@5 83.594 (86.615) Epoch: [71][7080/10010] Time 0.341 (0.327) Data 0.000 (0.001) Loss 1.4131 (1.3811) Prec@1 67.969 (67.971) Prec@5 86.719 (86.616) Epoch: [71][7090/10010] Time 0.319 (0.327) Data 0.001 (0.001) Loss 1.3692 (1.3812) Prec@1 67.969 (67.969) Prec@5 83.594 (86.613) Epoch: [71][7100/10010] Time 0.330 (0.327) Data 0.001 (0.001) Loss 1.5112 (1.3812) Prec@1 66.406 (67.970) Prec@5 82.031 (86.611) Epoch: [71][7110/10010] Time 0.341 (0.327) Data 0.001 (0.001) Loss 1.4235 (1.3812) Prec@1 74.219 (67.972) Prec@5 85.156 (86.612) Epoch: [71][7120/10010] Time 0.317 (0.327) Data 0.000 (0.001) Loss 1.4016 (1.3813) Prec@1 65.625 (67.971) Prec@5 85.938 (86.611) Epoch: [71][7130/10010] Time 0.317 (0.327) Data 0.001 (0.001) Loss 1.5240 (1.3813) Prec@1 61.719 (67.972) Prec@5 85.156 (86.611) Epoch: [71][7140/10010] Time 0.336 (0.327) Data 0.001 (0.001) Loss 1.1506 (1.3813) Prec@1 71.875 (67.971) Prec@5 89.062 (86.613) Epoch: [71][7150/10010] Time 0.329 (0.327) Data 0.001 (0.001) Loss 1.2286 (1.3814) Prec@1 69.531 (67.969) Prec@5 89.844 (86.613) Epoch: [71][7160/10010] Time 0.335 (0.327) Data 0.001 (0.001) Loss 1.3122 (1.3813) Prec@1 68.750 (67.970) Prec@5 89.844 (86.615) Epoch: [71][7170/10010] Time 0.334 (0.327) Data 0.001 (0.001) Loss 1.1335 (1.3813) Prec@1 73.438 (67.970) Prec@5 90.625 (86.614) Epoch: [71][7180/10010] Time 0.318 (0.327) Data 0.001 (0.001) Loss 1.5585 (1.3812) Prec@1 63.281 (67.973) Prec@5 83.594 (86.614) Epoch: [71][7190/10010] Time 0.334 (0.327) Data 0.001 (0.001) Loss 1.5026 (1.3812) Prec@1 60.938 (67.972) Prec@5 85.938 (86.613) Epoch: [71][7200/10010] Time 0.332 (0.327) Data 0.000 (0.001) Loss 1.4194 (1.3814) Prec@1 70.312 (67.968) Prec@5 87.500 (86.611) Epoch: [71][7210/10010] Time 0.318 (0.327) Data 0.000 (0.001) Loss 1.6364 (1.3813) Prec@1 65.625 (67.967) Prec@5 84.375 (86.612) Epoch: [71][7220/10010] Time 0.330 (0.327) Data 0.000 (0.001) Loss 1.1182 (1.3812) Prec@1 71.875 (67.969) Prec@5 91.406 (86.614) Epoch: [71][7230/10010] Time 0.336 (0.327) Data 0.001 (0.001) Loss 1.3922 (1.3812) Prec@1 68.750 (67.969) Prec@5 85.156 (86.615) Epoch: [71][7240/10010] Time 0.336 (0.327) Data 0.000 (0.001) Loss 1.5786 (1.3812) Prec@1 65.625 (67.969) Prec@5 84.375 (86.616) Epoch: [71][7250/10010] Time 0.322 (0.327) Data 0.001 (0.001) Loss 1.6038 (1.3813) Prec@1 61.719 (67.967) Prec@5 84.375 (86.614) Epoch: [71][7260/10010] Time 0.323 (0.327) Data 0.000 (0.001) Loss 1.3650 (1.3812) Prec@1 67.188 (67.967) Prec@5 85.938 (86.614) Epoch: [71][7270/10010] Time 0.324 (0.327) Data 0.001 (0.001) Loss 1.2702 (1.3813) Prec@1 68.750 (67.968) Prec@5 85.156 (86.613) Epoch: [71][7280/10010] Time 0.319 (0.327) Data 0.001 (0.001) Loss 0.9988 (1.3813) Prec@1 71.094 (67.969) Prec@5 92.188 (86.614) Epoch: [71][7290/10010] Time 0.314 (0.327) Data 0.001 (0.001) Loss 1.4227 (1.3813) Prec@1 65.625 (67.968) Prec@5 86.719 (86.614) Epoch: [71][7300/10010] Time 0.321 (0.327) Data 0.001 (0.001) Loss 1.2477 (1.3813) Prec@1 74.219 (67.968) Prec@5 87.500 (86.614) Epoch: [71][7310/10010] Time 0.321 (0.327) Data 0.001 (0.001) Loss 1.2035 (1.3813) Prec@1 75.000 (67.969) Prec@5 87.500 (86.613) Epoch: [71][7320/10010] Time 0.338 (0.327) Data 0.000 (0.001) Loss 1.4491 (1.3813) Prec@1 59.375 (67.968) Prec@5 87.500 (86.612) Epoch: [71][7330/10010] Time 0.338 (0.327) Data 0.000 (0.001) Loss 1.3918 (1.3814) Prec@1 67.969 (67.966) Prec@5 86.719 (86.610) Epoch: [71][7340/10010] Time 0.320 (0.327) Data 0.001 (0.001) Loss 1.2352 (1.3815) Prec@1 67.188 (67.967) Prec@5 89.062 (86.610) Epoch: [71][7350/10010] Time 0.321 (0.327) Data 0.000 (0.001) Loss 1.5144 (1.3815) Prec@1 64.844 (67.967) Prec@5 85.156 (86.610) Epoch: [71][7360/10010] Time 0.322 (0.327) Data 0.001 (0.001) Loss 1.5168 (1.3815) Prec@1 63.281 (67.966) Prec@5 82.812 (86.611) Epoch: [71][7370/10010] Time 0.342 (0.327) Data 0.001 (0.001) Loss 1.4521 (1.3815) Prec@1 71.875 (67.967) Prec@5 85.156 (86.610) Epoch: [71][7380/10010] Time 0.320 (0.327) Data 0.000 (0.001) Loss 1.4039 (1.3816) Prec@1 65.625 (67.967) Prec@5 85.938 (86.610) Epoch: [71][7390/10010] Time 0.334 (0.327) Data 0.001 (0.001) Loss 1.3131 (1.3816) Prec@1 66.406 (67.964) Prec@5 86.719 (86.608) Epoch: [71][7400/10010] Time 0.339 (0.327) Data 0.000 (0.001) Loss 1.3310 (1.3816) Prec@1 71.094 (67.965) Prec@5 87.500 (86.609) Epoch: [71][7410/10010] Time 0.333 (0.327) Data 0.001 (0.001) Loss 1.3432 (1.3815) Prec@1 68.750 (67.966) Prec@5 85.938 (86.609) Epoch: [71][7420/10010] Time 0.316 (0.327) Data 0.000 (0.001) Loss 1.4775 (1.3815) Prec@1 68.750 (67.967) Prec@5 86.719 (86.609) Epoch: [71][7430/10010] Time 0.334 (0.327) Data 0.001 (0.001) Loss 1.3740 (1.3815) Prec@1 67.969 (67.965) Prec@5 87.500 (86.610) Epoch: [71][7440/10010] Time 0.318 (0.327) Data 0.001 (0.001) Loss 1.2200 (1.3815) Prec@1 68.750 (67.965) Prec@5 90.625 (86.610) Epoch: [71][7450/10010] Time 0.319 (0.327) Data 0.001 (0.001) Loss 1.4430 (1.3815) Prec@1 64.844 (67.962) Prec@5 85.938 (86.609) Epoch: [71][7460/10010] Time 0.315 (0.327) Data 0.000 (0.001) Loss 1.6270 (1.3815) Prec@1 64.844 (67.963) Prec@5 82.812 (86.609) Epoch: [71][7470/10010] Time 0.322 (0.327) Data 0.001 (0.001) Loss 1.5045 (1.3816) Prec@1 64.844 (67.961) Prec@5 83.594 (86.609) Epoch: [71][7480/10010] Time 0.320 (0.327) Data 0.001 (0.001) Loss 1.3167 (1.3815) Prec@1 64.844 (67.963) Prec@5 88.281 (86.611) Epoch: [71][7490/10010] Time 0.320 (0.327) Data 0.000 (0.001) Loss 1.3239 (1.3813) Prec@1 67.188 (67.966) Prec@5 86.719 (86.614) Epoch: [71][7500/10010] Time 0.321 (0.327) Data 0.001 (0.001) Loss 1.3846 (1.3813) Prec@1 62.500 (67.965) Prec@5 85.156 (86.614) Epoch: [71][7510/10010] Time 0.318 (0.327) Data 0.001 (0.001) Loss 1.5959 (1.3815) Prec@1 64.844 (67.963) Prec@5 82.031 (86.613) Epoch: [71][7520/10010] Time 0.328 (0.327) Data 0.001 (0.001) Loss 1.4413 (1.3814) Prec@1 67.188 (67.964) Prec@5 85.938 (86.614) Epoch: [71][7530/10010] Time 0.317 (0.327) Data 0.000 (0.001) Loss 1.1679 (1.3813) Prec@1 75.000 (67.966) Prec@5 88.281 (86.615) Epoch: [71][7540/10010] Time 0.344 (0.327) Data 0.001 (0.001) Loss 1.4496 (1.3813) Prec@1 65.625 (67.967) Prec@5 86.719 (86.616) Epoch: [71][7550/10010] Time 0.336 (0.327) Data 0.001 (0.001) Loss 1.5163 (1.3814) Prec@1 69.531 (67.964) Prec@5 85.938 (86.615) Epoch: [71][7560/10010] Time 0.328 (0.327) Data 0.001 (0.001) Loss 1.1994 (1.3814) Prec@1 75.000 (67.963) Prec@5 89.844 (86.615) Epoch: [71][7570/10010] Time 0.315 (0.327) Data 0.000 (0.001) Loss 1.4759 (1.3815) Prec@1 67.969 (67.964) Prec@5 85.156 (86.614) Epoch: [71][7580/10010] Time 0.335 (0.327) Data 0.000 (0.001) Loss 1.5067 (1.3814) Prec@1 62.500 (67.966) Prec@5 86.719 (86.615) Epoch: [71][7590/10010] Time 0.340 (0.327) Data 0.000 (0.001) Loss 1.3803 (1.3814) Prec@1 71.094 (67.964) Prec@5 85.156 (86.616) Epoch: [71][7600/10010] Time 0.327 (0.327) Data 0.000 (0.001) Loss 1.2353 (1.3815) Prec@1 70.312 (67.962) Prec@5 89.062 (86.616) Epoch: [71][7610/10010] Time 0.316 (0.327) Data 0.001 (0.001) Loss 1.3549 (1.3815) Prec@1 71.094 (67.962) Prec@5 87.500 (86.616) Epoch: [71][7620/10010] Time 0.341 (0.327) Data 0.000 (0.001) Loss 1.3713 (1.3815) Prec@1 66.406 (67.960) Prec@5 86.719 (86.615) Epoch: [71][7630/10010] Time 0.318 (0.327) Data 0.001 (0.001) Loss 1.3618 (1.3815) Prec@1 67.188 (67.962) Prec@5 87.500 (86.618) Epoch: [71][7640/10010] Time 0.319 (0.327) Data 0.001 (0.001) Loss 1.5968 (1.3816) Prec@1 62.500 (67.960) Prec@5 83.594 (86.615) Epoch: [71][7650/10010] Time 0.332 (0.327) Data 0.000 (0.001) Loss 1.1756 (1.3815) Prec@1 73.438 (67.961) Prec@5 89.062 (86.616) Epoch: [71][7660/10010] Time 0.335 (0.327) Data 0.000 (0.001) Loss 1.1441 (1.3814) Prec@1 69.531 (67.962) Prec@5 90.625 (86.618) Epoch: [71][7670/10010] Time 0.317 (0.327) Data 0.000 (0.001) Loss 1.3390 (1.3813) Prec@1 67.969 (67.963) Prec@5 87.500 (86.620) Epoch: [71][7680/10010] Time 0.334 (0.327) Data 0.001 (0.001) Loss 1.3443 (1.3812) Prec@1 71.094 (67.966) Prec@5 88.281 (86.620) Epoch: [71][7690/10010] Time 0.319 (0.327) Data 0.000 (0.001) Loss 1.4444 (1.3812) Prec@1 64.062 (67.963) Prec@5 85.938 (86.620) Epoch: [71][7700/10010] Time 0.316 (0.327) Data 0.001 (0.001) Loss 1.4124 (1.3814) Prec@1 64.062 (67.959) Prec@5 87.500 (86.618) Epoch: [71][7710/10010] Time 0.313 (0.327) Data 0.001 (0.001) Loss 1.5888 (1.3814) Prec@1 57.812 (67.957) Prec@5 85.156 (86.618) Epoch: [71][7720/10010] Time 0.338 (0.327) Data 0.001 (0.001) Loss 1.3351 (1.3814) Prec@1 67.188 (67.957) Prec@5 88.281 (86.616) Epoch: [71][7730/10010] Time 0.342 (0.327) Data 0.000 (0.001) Loss 1.2797 (1.3814) Prec@1 67.969 (67.955) Prec@5 90.625 (86.617) Epoch: [71][7740/10010] Time 0.322 (0.327) Data 0.001 (0.001) Loss 1.6659 (1.3814) Prec@1 60.938 (67.958) Prec@5 81.250 (86.617) Epoch: [71][7750/10010] Time 0.314 (0.327) Data 0.000 (0.001) Loss 1.3761 (1.3813) Prec@1 72.656 (67.958) Prec@5 87.500 (86.617) Epoch: [71][7760/10010] Time 0.334 (0.327) Data 0.001 (0.001) Loss 1.7180 (1.3813) Prec@1 63.281 (67.958) Prec@5 83.594 (86.619) Epoch: [71][7770/10010] Time 0.320 (0.327) Data 0.000 (0.001) Loss 1.4706 (1.3813) Prec@1 67.188 (67.957) Prec@5 82.031 (86.618) Epoch: [71][7780/10010] Time 0.337 (0.327) Data 0.001 (0.001) Loss 1.3917 (1.3813) Prec@1 64.062 (67.957) Prec@5 85.938 (86.618) Epoch: [71][7790/10010] Time 0.311 (0.327) Data 0.001 (0.001) Loss 1.3271 (1.3812) Prec@1 64.844 (67.959) Prec@5 85.938 (86.619) Epoch: [71][7800/10010] Time 0.315 (0.327) Data 0.001 (0.001) Loss 1.4862 (1.3811) Prec@1 62.500 (67.960) Prec@5 87.500 (86.621) Epoch: [71][7810/10010] Time 0.318 (0.327) Data 0.000 (0.001) Loss 1.4375 (1.3812) Prec@1 68.750 (67.959) Prec@5 88.281 (86.621) Epoch: [71][7820/10010] Time 0.326 (0.327) Data 0.001 (0.001) Loss 1.3015 (1.3813) Prec@1 71.094 (67.956) Prec@5 87.500 (86.619) Epoch: [71][7830/10010] Time 0.325 (0.327) Data 0.001 (0.001) Loss 1.4540 (1.3813) Prec@1 66.406 (67.955) Prec@5 87.500 (86.620) Epoch: [71][7840/10010] Time 0.332 (0.327) Data 0.001 (0.001) Loss 1.1590 (1.3813) Prec@1 71.094 (67.954) Prec@5 89.844 (86.621) Epoch: [71][7850/10010] Time 0.336 (0.327) Data 0.001 (0.001) Loss 1.4270 (1.3813) Prec@1 66.406 (67.955) Prec@5 82.031 (86.619) Epoch: [71][7860/10010] Time 0.340 (0.327) Data 0.001 (0.001) Loss 1.4714 (1.3813) Prec@1 69.531 (67.956) Prec@5 84.375 (86.620) Epoch: [71][7870/10010] Time 0.319 (0.327) Data 0.000 (0.001) Loss 1.4743 (1.3814) Prec@1 67.969 (67.955) Prec@5 86.719 (86.618) Epoch: [71][7880/10010] Time 0.332 (0.327) Data 0.001 (0.001) Loss 1.3407 (1.3813) Prec@1 66.406 (67.957) Prec@5 87.500 (86.619) Epoch: [71][7890/10010] Time 0.334 (0.327) Data 0.001 (0.001) Loss 1.3512 (1.3812) Prec@1 68.750 (67.958) Prec@5 86.719 (86.620) Epoch: [71][7900/10010] Time 0.334 (0.327) Data 0.001 (0.001) Loss 1.3510 (1.3813) Prec@1 70.312 (67.960) Prec@5 87.500 (86.620) Epoch: [71][7910/10010] Time 0.332 (0.327) Data 0.000 (0.001) Loss 1.3273 (1.3813) Prec@1 71.094 (67.961) Prec@5 88.281 (86.620) Epoch: [71][7920/10010] Time 0.322 (0.327) Data 0.001 (0.001) Loss 1.4211 (1.3812) Prec@1 71.094 (67.960) Prec@5 86.719 (86.621) Epoch: [71][7930/10010] Time 0.342 (0.327) Data 0.000 (0.001) Loss 1.2458 (1.3813) Prec@1 71.094 (67.961) Prec@5 89.062 (86.620) Epoch: [71][7940/10010] Time 0.322 (0.327) Data 0.001 (0.001) Loss 1.3008 (1.3813) Prec@1 64.062 (67.960) Prec@5 85.938 (86.620) Epoch: [71][7950/10010] Time 0.331 (0.327) Data 0.001 (0.001) Loss 1.3450 (1.3813) Prec@1 66.406 (67.960) Prec@5 84.375 (86.619) Epoch: [71][7960/10010] Time 0.340 (0.327) Data 0.000 (0.001) Loss 1.3285 (1.3813) Prec@1 66.406 (67.958) Prec@5 85.156 (86.618) Epoch: [71][7970/10010] Time 0.317 (0.327) Data 0.000 (0.001) Loss 1.3283 (1.3814) Prec@1 71.875 (67.958) Prec@5 85.938 (86.617) Epoch: [71][7980/10010] Time 0.339 (0.327) Data 0.001 (0.001) Loss 1.2860 (1.3814) Prec@1 71.875 (67.957) Prec@5 89.844 (86.618) Epoch: [71][7990/10010] Time 0.334 (0.327) Data 0.001 (0.001) Loss 1.5000 (1.3813) Prec@1 66.406 (67.959) Prec@5 86.719 (86.620) Epoch: [71][8000/10010] Time 0.309 (0.327) Data 0.001 (0.001) Loss 1.5928 (1.3813) Prec@1 61.719 (67.959) Prec@5 87.500 (86.620) Epoch: [71][8010/10010] Time 0.325 (0.327) Data 0.000 (0.001) Loss 1.4634 (1.3813) Prec@1 67.188 (67.960) Prec@5 84.375 (86.621) Epoch: [71][8020/10010] Time 0.321 (0.327) Data 0.001 (0.001) Loss 1.4304 (1.3813) Prec@1 66.406 (67.959) Prec@5 86.719 (86.622) Epoch: [71][8030/10010] Time 0.326 (0.327) Data 0.001 (0.001) Loss 1.7094 (1.3813) Prec@1 60.156 (67.957) Prec@5 82.031 (86.621) Epoch: [71][8040/10010] Time 0.319 (0.327) Data 0.001 (0.001) Loss 1.6562 (1.3813) Prec@1 64.062 (67.957) Prec@5 80.469 (86.621) Epoch: [71][8050/10010] Time 0.318 (0.327) Data 0.000 (0.001) Loss 1.4754 (1.3812) Prec@1 69.531 (67.960) Prec@5 84.375 (86.622) Epoch: [71][8060/10010] Time 0.320 (0.327) Data 0.001 (0.001) Loss 1.3974 (1.3812) Prec@1 65.625 (67.958) Prec@5 87.500 (86.623) Epoch: [71][8070/10010] Time 0.314 (0.327) Data 0.001 (0.001) Loss 1.4232 (1.3813) Prec@1 68.750 (67.958) Prec@5 89.062 (86.623) Epoch: [71][8080/10010] Time 0.333 (0.327) Data 0.001 (0.001) Loss 1.5606 (1.3813) Prec@1 65.625 (67.959) Prec@5 81.250 (86.622) Epoch: [71][8090/10010] Time 0.321 (0.327) Data 0.000 (0.001) Loss 1.1008 (1.3812) Prec@1 75.000 (67.961) Prec@5 92.969 (86.622) Epoch: [71][8100/10010] Time 0.336 (0.327) Data 0.001 (0.001) Loss 1.2378 (1.3812) Prec@1 70.312 (67.963) Prec@5 89.062 (86.623) Epoch: [71][8110/10010] Time 0.325 (0.327) Data 0.001 (0.001) Loss 1.4795 (1.3811) Prec@1 66.406 (67.965) Prec@5 87.500 (86.624) Epoch: [71][8120/10010] Time 0.321 (0.327) Data 0.001 (0.001) Loss 1.0381 (1.3811) Prec@1 80.469 (67.966) Prec@5 92.188 (86.624) Epoch: [71][8130/10010] Time 0.320 (0.327) Data 0.000 (0.001) Loss 1.1515 (1.3810) Prec@1 71.094 (67.967) Prec@5 90.625 (86.624) Epoch: [71][8140/10010] Time 0.320 (0.327) Data 0.001 (0.001) Loss 1.2319 (1.3810) Prec@1 71.094 (67.969) Prec@5 89.062 (86.625) Epoch: [71][8150/10010] Time 0.336 (0.327) Data 0.000 (0.001) Loss 1.3395 (1.3809) Prec@1 66.406 (67.971) Prec@5 87.500 (86.625) Epoch: [71][8160/10010] Time 0.317 (0.327) Data 0.000 (0.001) Loss 1.3041 (1.3809) Prec@1 68.750 (67.970) Prec@5 85.156 (86.626) Epoch: [71][8170/10010] Time 0.322 (0.327) Data 0.001 (0.001) Loss 1.2168 (1.3808) Prec@1 72.656 (67.973) Prec@5 89.844 (86.627) Epoch: [71][8180/10010] Time 0.328 (0.327) Data 0.000 (0.001) Loss 1.3231 (1.3807) Prec@1 71.875 (67.975) Prec@5 86.719 (86.627) Epoch: [71][8190/10010] Time 0.322 (0.327) Data 0.001 (0.001) Loss 1.3856 (1.3807) Prec@1 65.625 (67.975) Prec@5 85.938 (86.627) Epoch: [71][8200/10010] Time 0.329 (0.327) Data 0.001 (0.001) Loss 1.3093 (1.3807) Prec@1 67.969 (67.974) Prec@5 87.500 (86.627) Epoch: [71][8210/10010] Time 0.314 (0.327) Data 0.001 (0.001) Loss 1.3697 (1.3808) Prec@1 67.188 (67.973) Prec@5 86.719 (86.625) Epoch: [71][8220/10010] Time 0.323 (0.327) Data 0.001 (0.001) Loss 1.4207 (1.3808) Prec@1 64.844 (67.972) Prec@5 86.719 (86.624) Epoch: [71][8230/10010] Time 0.323 (0.327) Data 0.001 (0.001) Loss 1.3128 (1.3808) Prec@1 64.844 (67.972) Prec@5 89.844 (86.624) Epoch: [71][8240/10010] Time 0.331 (0.327) Data 0.001 (0.001) Loss 1.3662 (1.3808) Prec@1 67.969 (67.973) Prec@5 84.375 (86.625) Epoch: [71][8250/10010] Time 0.333 (0.327) Data 0.001 (0.001) Loss 1.3037 (1.3807) Prec@1 70.312 (67.973) Prec@5 89.062 (86.625) Epoch: [71][8260/10010] Time 0.318 (0.327) Data 0.001 (0.001) Loss 1.4795 (1.3807) Prec@1 67.969 (67.973) Prec@5 88.281 (86.627) Epoch: [71][8270/10010] Time 0.320 (0.327) Data 0.001 (0.001) Loss 1.3364 (1.3808) Prec@1 69.531 (67.973) Prec@5 88.281 (86.626) Epoch: [71][8280/10010] Time 0.335 (0.327) Data 0.001 (0.001) Loss 1.4680 (1.3808) Prec@1 65.625 (67.972) Prec@5 87.500 (86.625) /data/vision/torralba/deepscene/lib/anaconda2/lib/python2.7/site-packages/PIL/TiffImagePlugin.py:709: UserWarning: Corrupt EXIF data. Expecting to read 4 bytes but only got 0. warnings.warn(str(msg)) Epoch: [71][8290/10010] Time 0.310 (0.327) Data 0.001 (0.001) Loss 1.4118 (1.3809) Prec@1 68.750 (67.970) Prec@5 85.156 (86.624) Epoch: [71][8300/10010] Time 0.321 (0.327) Data 0.000 (0.001) Loss 1.2001 (1.3808) Prec@1 73.438 (67.972) Prec@5 87.500 (86.625) Epoch: [71][8310/10010] Time 0.318 (0.327) Data 0.001 (0.001) Loss 1.2633 (1.3808) Prec@1 70.312 (67.973) Prec@5 88.281 (86.625) Epoch: [71][8320/10010] Time 0.324 (0.327) Data 0.001 (0.001) Loss 1.5898 (1.3809) Prec@1 66.406 (67.971) Prec@5 84.375 (86.626) Epoch: [71][8330/10010] Time 0.318 (0.327) Data 0.001 (0.001) Loss 1.4995 (1.3810) Prec@1 65.625 (67.968) Prec@5 84.375 (86.625) Epoch: [71][8340/10010] Time 0.339 (0.327) Data 0.001 (0.001) Loss 1.3748 (1.3809) Prec@1 64.062 (67.969) Prec@5 86.719 (86.626) Epoch: [71][8350/10010] Time 0.331 (0.327) Data 0.000 (0.001) Loss 1.5623 (1.3809) Prec@1 65.625 (67.968) Prec@5 85.156 (86.627) Epoch: [71][8360/10010] Time 0.328 (0.327) Data 0.001 (0.001) Loss 1.1431 (1.3808) Prec@1 71.094 (67.969) Prec@5 92.188 (86.628) Epoch: [71][8370/10010] Time 0.325 (0.327) Data 0.000 (0.001) Loss 1.6266 (1.3808) Prec@1 61.719 (67.970) Prec@5 85.156 (86.628) Epoch: [71][8380/10010] Time 0.339 (0.327) Data 0.000 (0.001) Loss 1.2813 (1.3808) Prec@1 67.969 (67.970) Prec@5 85.156 (86.628) Epoch: [71][8390/10010] Time 0.325 (0.327) Data 0.000 (0.001) Loss 1.5150 (1.3808) Prec@1 66.406 (67.970) Prec@5 85.156 (86.629) Epoch: [71][8400/10010] Time 0.320 (0.327) Data 0.001 (0.001) Loss 1.3688 (1.3810) Prec@1 67.188 (67.968) Prec@5 87.500 (86.627) Epoch: [71][8410/10010] Time 0.334 (0.327) Data 0.001 (0.001) Loss 1.4674 (1.3810) Prec@1 64.844 (67.966) Prec@5 85.156 (86.627) /data/vision/torralba/deepscene/lib/anaconda2/lib/python2.7/site-packages/PIL/TiffImagePlugin.py:692: UserWarning: Possibly corrupt EXIF data. Expecting to read 1835008 bytes but only got 0. Skipping tag 0 "Skipping tag %s" % (size, len(data), tag)) Epoch: [71][8420/10010] Time 0.325 (0.327) Data 0.001 (0.001) Loss 1.3841 (1.3811) Prec@1 67.188 (67.965) Prec@5 85.938 (86.626) Epoch: [71][8430/10010] Time 0.338 (0.327) Data 0.001 (0.001) Loss 1.5658 (1.3811) Prec@1 63.281 (67.964) Prec@5 83.594 (86.624) Epoch: [71][8440/10010] Time 0.330 (0.327) Data 0.004 (0.001) Loss 1.4019 (1.3810) Prec@1 65.625 (67.965) Prec@5 87.500 (86.626) Epoch: [71][8450/10010] Time 0.345 (0.327) Data 0.001 (0.001) Loss 1.2414 (1.3810) Prec@1 72.656 (67.965) Prec@5 91.406 (86.626) Epoch: [71][8460/10010] Time 0.316 (0.327) Data 0.001 (0.001) Loss 1.2770 (1.3811) Prec@1 70.312 (67.963) Prec@5 82.812 (86.624) Epoch: [71][8470/10010] Time 0.342 (0.327) Data 0.001 (0.001) Loss 1.3327 (1.3812) Prec@1 71.094 (67.962) Prec@5 89.844 (86.624) Epoch: [71][8480/10010] Time 0.318 (0.327) Data 0.001 (0.001) Loss 1.0991 (1.3811) Prec@1 71.094 (67.960) Prec@5 91.406 (86.625) Epoch: [71][8490/10010] Time 0.319 (0.327) Data 0.000 (0.001) Loss 1.4146 (1.3811) Prec@1 65.625 (67.961) Prec@5 86.719 (86.625) Epoch: [71][8500/10010] Time 0.314 (0.327) Data 0.001 (0.001) Loss 1.5963 (1.3811) Prec@1 65.625 (67.961) Prec@5 84.375 (86.625) Epoch: [71][8510/10010] Time 0.323 (0.327) Data 0.001 (0.001) Loss 1.3842 (1.3811) Prec@1 69.531 (67.961) Prec@5 85.938 (86.625) Epoch: [71][8520/10010] Time 0.328 (0.327) Data 0.001 (0.001) Loss 1.4365 (1.3811) Prec@1 69.531 (67.959) Prec@5 86.719 (86.625) Epoch: [71][8530/10010] Time 0.339 (0.327) Data 0.000 (0.001) Loss 1.5370 (1.3812) Prec@1 62.500 (67.959) Prec@5 85.156 (86.624) Epoch: [71][8540/10010] Time 0.333 (0.327) Data 0.001 (0.001) Loss 1.3043 (1.3811) Prec@1 68.750 (67.961) Prec@5 85.938 (86.625) Epoch: [71][8550/10010] Time 0.315 (0.327) Data 0.000 (0.001) Loss 1.4261 (1.3811) Prec@1 63.281 (67.960) Prec@5 89.844 (86.625) Epoch: [71][8560/10010] Time 0.337 (0.327) Data 0.001 (0.001) Loss 1.3714 (1.3811) Prec@1 70.312 (67.961) Prec@5 84.375 (86.625) Epoch: [71][8570/10010] Time 0.316 (0.327) Data 0.001 (0.001) Loss 1.2333 (1.3810) Prec@1 68.750 (67.961) Prec@5 89.844 (86.625) Epoch: [71][8580/10010] Time 0.322 (0.327) Data 0.000 (0.001) Loss 1.2292 (1.3811) Prec@1 70.312 (67.962) Prec@5 87.500 (86.625) Epoch: [71][8590/10010] Time 0.321 (0.327) Data 0.000 (0.001) Loss 1.4096 (1.3811) Prec@1 65.625 (67.961) Prec@5 85.156 (86.624) Epoch: [71][8600/10010] Time 0.331 (0.327) Data 0.001 (0.001) Loss 1.5909 (1.3812) Prec@1 61.719 (67.958) Prec@5 85.938 (86.624) Epoch: [71][8610/10010] Time 0.335 (0.327) Data 0.000 (0.001) Loss 1.6083 (1.3811) Prec@1 64.062 (67.959) Prec@5 85.156 (86.625) Epoch: [71][8620/10010] Time 0.312 (0.327) Data 0.001 (0.001) Loss 1.2871 (1.3811) Prec@1 70.312 (67.962) Prec@5 85.156 (86.626) Epoch: [71][8630/10010] Time 0.335 (0.327) Data 0.001 (0.001) Loss 1.0987 (1.3809) Prec@1 74.219 (67.965) Prec@5 91.406 (86.628) Epoch: [71][8640/10010] Time 0.320 (0.327) Data 0.000 (0.001) Loss 1.4293 (1.3809) Prec@1 69.531 (67.967) Prec@5 86.719 (86.629) Epoch: [71][8650/10010] Time 0.336 (0.327) Data 0.001 (0.001) Loss 1.2548 (1.3809) Prec@1 71.875 (67.967) Prec@5 87.500 (86.630) Epoch: [71][8660/10010] Time 0.319 (0.327) Data 0.001 (0.001) Loss 1.1987 (1.3809) Prec@1 64.844 (67.966) Prec@5 93.750 (86.631) Epoch: [71][8670/10010] Time 0.331 (0.327) Data 0.001 (0.001) Loss 1.5241 (1.3809) Prec@1 67.969 (67.966) Prec@5 85.938 (86.631) Epoch: [71][8680/10010] Time 0.335 (0.327) Data 0.001 (0.001) Loss 1.4386 (1.3810) Prec@1 60.938 (67.963) Prec@5 87.500 (86.630) Epoch: [71][8690/10010] Time 0.329 (0.327) Data 0.000 (0.001) Loss 1.4267 (1.3809) Prec@1 69.531 (67.965) Prec@5 85.938 (86.631) Epoch: [71][8700/10010] Time 0.316 (0.327) Data 0.001 (0.001) Loss 1.4964 (1.3809) Prec@1 68.750 (67.967) Prec@5 84.375 (86.631) Epoch: [71][8710/10010] Time 0.333 (0.327) Data 0.000 (0.001) Loss 1.4561 (1.3808) Prec@1 69.531 (67.968) Prec@5 85.156 (86.630) Epoch: [71][8720/10010] Time 0.324 (0.327) Data 0.000 (0.001) Loss 1.3440 (1.3809) Prec@1 64.844 (67.965) Prec@5 94.531 (86.630) Epoch: [71][8730/10010] Time 0.324 (0.327) Data 0.001 (0.001) Loss 1.4407 (1.3810) Prec@1 67.969 (67.964) Prec@5 85.938 (86.630) Epoch: [71][8740/10010] Time 0.316 (0.327) Data 0.001 (0.001) Loss 1.2034 (1.3810) Prec@1 70.312 (67.963) Prec@5 87.500 (86.630) Epoch: [71][8750/10010] Time 0.339 (0.327) Data 0.001 (0.001) Loss 1.1922 (1.3809) Prec@1 72.656 (67.965) Prec@5 89.062 (86.630) Epoch: [71][8760/10010] Time 0.332 (0.327) Data 0.000 (0.001) Loss 1.7694 (1.3811) Prec@1 57.812 (67.963) Prec@5 82.812 (86.629) Epoch: [71][8770/10010] Time 0.333 (0.327) Data 0.000 (0.001) Loss 1.4283 (1.3811) Prec@1 68.750 (67.961) Prec@5 87.500 (86.629) Epoch: [71][8780/10010] Time 0.327 (0.327) Data 0.000 (0.001) Loss 1.1893 (1.3812) Prec@1 71.094 (67.960) Prec@5 92.188 (86.628) Epoch: [71][8790/10010] Time 0.319 (0.327) Data 0.001 (0.001) Loss 1.6976 (1.3812) Prec@1 64.844 (67.959) Prec@5 83.594 (86.628) Epoch: [71][8800/10010] Time 0.324 (0.327) Data 0.000 (0.001) Loss 1.3985 (1.3812) Prec@1 64.062 (67.956) Prec@5 89.844 (86.627) Epoch: [71][8810/10010] Time 0.325 (0.327) Data 0.001 (0.001) Loss 1.3954 (1.3812) Prec@1 67.969 (67.956) Prec@5 87.500 (86.627) Epoch: [71][8820/10010] Time 0.312 (0.327) Data 0.001 (0.001) Loss 1.3959 (1.3813) Prec@1 65.625 (67.955) Prec@5 83.594 (86.624) Epoch: [71][8830/10010] Time 0.342 (0.327) Data 0.000 (0.001) Loss 1.4859 (1.3814) Prec@1 63.281 (67.954) Prec@5 85.156 (86.624) Epoch: [71][8840/10010] Time 0.338 (0.327) Data 0.000 (0.001) Loss 1.4011 (1.3814) Prec@1 65.625 (67.952) Prec@5 85.938 (86.623) Epoch: [71][8850/10010] Time 0.309 (0.327) Data 0.001 (0.001) Loss 1.2617 (1.3814) Prec@1 69.531 (67.951) Prec@5 85.938 (86.622) Epoch: [71][8860/10010] Time 0.333 (0.327) Data 0.001 (0.001) Loss 1.0753 (1.3815) Prec@1 80.469 (67.952) Prec@5 89.062 (86.621) Epoch: [71][8870/10010] Time 0.323 (0.327) Data 0.000 (0.001) Loss 1.4139 (1.3816) Prec@1 65.625 (67.951) Prec@5 88.281 (86.620) Epoch: [71][8880/10010] Time 0.325 (0.327) Data 0.001 (0.001) Loss 1.5163 (1.3816) Prec@1 65.625 (67.950) Prec@5 85.156 (86.620) Epoch: [71][8890/10010] Time 0.330 (0.327) Data 0.001 (0.001) Loss 1.4130 (1.3816) Prec@1 61.719 (67.949) Prec@5 85.938 (86.620) Epoch: [71][8900/10010] Time 0.327 (0.327) Data 0.001 (0.001) Loss 1.6644 (1.3816) Prec@1 61.719 (67.949) Prec@5 80.469 (86.620) /data/vision/torralba/deepscene/lib/anaconda2/lib/python2.7/site-packages/PIL/TiffImagePlugin.py:692: UserWarning: Possibly corrupt EXIF data. Expecting to read 2555904 bytes but only got 0. Skipping tag 0 "Skipping tag %s" % (size, len(data), tag)) Epoch: [71][8910/10010] Time 0.334 (0.327) Data 0.001 (0.001) Loss 1.4230 (1.3817) Prec@1 69.531 (67.948) Prec@5 89.062 (86.619) Epoch: [71][8920/10010] Time 0.317 (0.327) Data 0.001 (0.001) Loss 1.5028 (1.3816) Prec@1 67.188 (67.949) Prec@5 86.719 (86.620) Epoch: [71][8930/10010] Time 0.326 (0.327) Data 0.001 (0.001) Loss 1.2611 (1.3815) Prec@1 67.969 (67.952) Prec@5 89.062 (86.622) Epoch: [71][8940/10010] Time 0.314 (0.327) Data 0.001 (0.001) Loss 1.5369 (1.3816) Prec@1 65.625 (67.952) Prec@5 84.375 (86.620) Epoch: [71][8950/10010] Time 0.326 (0.327) Data 0.001 (0.001) Loss 1.1683 (1.3815) Prec@1 71.094 (67.953) Prec@5 87.500 (86.621) Epoch: [71][8960/10010] Time 0.340 (0.327) Data 0.000 (0.001) Loss 1.3453 (1.3815) Prec@1 69.531 (67.952) Prec@5 87.500 (86.620) Epoch: [71][8970/10010] Time 0.319 (0.327) Data 0.001 (0.001) Loss 1.3790 (1.3816) Prec@1 65.625 (67.951) Prec@5 85.938 (86.619) Epoch: [71][8980/10010] Time 0.319 (0.327) Data 0.001 (0.001) Loss 1.4952 (1.3816) Prec@1 68.750 (67.951) Prec@5 85.938 (86.618) Epoch: [71][8990/10010] Time 0.321 (0.327) Data 0.001 (0.001) Loss 1.3385 (1.3816) Prec@1 68.750 (67.950) Prec@5 89.062 (86.618) Epoch: [71][9000/10010] Time 0.335 (0.327) Data 0.001 (0.001) Loss 1.2614 (1.3816) Prec@1 74.219 (67.953) Prec@5 87.500 (86.620) Epoch: [71][9010/10010] Time 0.329 (0.327) Data 0.001 (0.001) Loss 1.5949 (1.3817) Prec@1 63.281 (67.949) Prec@5 83.594 (86.618) Epoch: [71][9020/10010] Time 0.317 (0.327) Data 0.001 (0.001) Loss 1.3519 (1.3817) Prec@1 68.750 (67.948) Prec@5 84.375 (86.616) Epoch: [71][9030/10010] Time 0.340 (0.327) Data 0.000 (0.001) Loss 1.1968 (1.3817) Prec@1 70.312 (67.948) Prec@5 91.406 (86.617) Epoch: [71][9040/10010] Time 0.318 (0.327) Data 0.001 (0.001) Loss 1.3670 (1.3817) Prec@1 67.969 (67.948) Prec@5 85.156 (86.617) Epoch: [71][9050/10010] Time 0.331 (0.327) Data 0.000 (0.001) Loss 1.2428 (1.3817) Prec@1 71.875 (67.948) Prec@5 85.938 (86.615) Epoch: [71][9060/10010] Time 0.322 (0.327) Data 0.001 (0.001) Loss 1.1520 (1.3817) Prec@1 71.094 (67.948) Prec@5 90.625 (86.615) Epoch: [71][9070/10010] Time 0.317 (0.327) Data 0.001 (0.001) Loss 1.2733 (1.3817) Prec@1 70.312 (67.949) Prec@5 86.719 (86.615) Epoch: [71][9080/10010] Time 0.326 (0.327) Data 0.000 (0.001) Loss 1.2246 (1.3817) Prec@1 73.438 (67.949) Prec@5 88.281 (86.615) Epoch: [71][9090/10010] Time 0.314 (0.327) Data 0.000 (0.001) Loss 1.3856 (1.3817) Prec@1 67.969 (67.948) Prec@5 83.594 (86.613) Epoch: [71][9100/10010] Time 0.323 (0.327) Data 0.001 (0.001) Loss 1.1829 (1.3817) Prec@1 72.656 (67.948) Prec@5 92.969 (86.614) Epoch: [71][9110/10010] Time 0.326 (0.327) Data 0.001 (0.001) Loss 1.1929 (1.3817) Prec@1 67.188 (67.947) Prec@5 89.062 (86.616) Epoch: [71][9120/10010] Time 0.330 (0.327) Data 0.000 (0.001) Loss 1.2198 (1.3818) Prec@1 74.219 (67.945) Prec@5 91.406 (86.615) Epoch: [71][9130/10010] Time 0.324 (0.327) Data 0.001 (0.001) Loss 1.3413 (1.3819) Prec@1 65.625 (67.942) Prec@5 89.062 (86.613) Epoch: [71][9140/10010] Time 0.333 (0.327) Data 0.001 (0.001) Loss 1.1796 (1.3819) Prec@1 73.438 (67.941) Prec@5 89.844 (86.613) Epoch: [71][9150/10010] Time 0.319 (0.327) Data 0.001 (0.001) Loss 1.3764 (1.3819) Prec@1 69.531 (67.940) Prec@5 85.156 (86.612) Epoch: [71][9160/10010] Time 0.316 (0.327) Data 0.001 (0.001) Loss 1.3464 (1.3820) Prec@1 65.625 (67.939) Prec@5 89.062 (86.613) Epoch: [71][9170/10010] Time 0.315 (0.327) Data 0.000 (0.001) Loss 1.4535 (1.3820) Prec@1 67.969 (67.938) Prec@5 85.156 (86.611) Epoch: [71][9180/10010] Time 0.320 (0.327) Data 0.001 (0.001) Loss 1.0117 (1.3821) Prec@1 78.906 (67.938) Prec@5 92.188 (86.610) Epoch: [71][9190/10010] Time 0.322 (0.327) Data 0.001 (0.001) Loss 1.2169 (1.3820) Prec@1 73.438 (67.940) Prec@5 90.625 (86.611) Epoch: [71][9200/10010] Time 0.315 (0.327) Data 0.001 (0.001) Loss 1.2782 (1.3820) Prec@1 73.438 (67.939) Prec@5 87.500 (86.611) Epoch: [71][9210/10010] Time 0.314 (0.327) Data 0.001 (0.001) Loss 1.4091 (1.3820) Prec@1 69.531 (67.939) Prec@5 85.156 (86.611) Epoch: [71][9220/10010] Time 0.319 (0.327) Data 0.001 (0.001) Loss 1.4980 (1.3820) Prec@1 65.625 (67.939) Prec@5 85.156 (86.611) Epoch: [71][9230/10010] Time 0.313 (0.327) Data 0.001 (0.001) Loss 1.3947 (1.3820) Prec@1 71.094 (67.940) Prec@5 84.375 (86.610) Epoch: [71][9240/10010] Time 0.317 (0.327) Data 0.000 (0.001) Loss 1.2863 (1.3819) Prec@1 71.875 (67.940) Prec@5 89.062 (86.611) Epoch: [71][9250/10010] Time 0.318 (0.327) Data 0.001 (0.001) Loss 1.1984 (1.3819) Prec@1 69.531 (67.939) Prec@5 87.500 (86.610) Epoch: [71][9260/10010] Time 0.332 (0.327) Data 0.001 (0.001) Loss 1.3441 (1.3819) Prec@1 67.969 (67.940) Prec@5 87.500 (86.611) Epoch: [71][9270/10010] Time 0.316 (0.327) Data 0.000 (0.001) Loss 1.0486 (1.3819) Prec@1 72.656 (67.940) Prec@5 89.062 (86.610) Epoch: [71][9280/10010] Time 0.335 (0.327) Data 0.001 (0.001) Loss 1.3085 (1.3820) Prec@1 72.656 (67.938) Prec@5 86.719 (86.608) Epoch: [71][9290/10010] Time 0.342 (0.327) Data 0.001 (0.001) Loss 1.4261 (1.3821) Prec@1 67.188 (67.935) Prec@5 85.156 (86.607) Epoch: [71][9300/10010] Time 0.337 (0.327) Data 0.001 (0.001) Loss 1.5972 (1.3820) Prec@1 64.844 (67.937) Prec@5 84.375 (86.609) Epoch: [71][9310/10010] Time 0.326 (0.327) Data 0.000 (0.001) Loss 1.1464 (1.3820) Prec@1 75.000 (67.939) Prec@5 89.062 (86.609) Epoch: [71][9320/10010] Time 0.324 (0.327) Data 0.001 (0.001) Loss 1.6841 (1.3822) Prec@1 62.500 (67.935) Prec@5 82.031 (86.606) Epoch: [71][9330/10010] Time 0.317 (0.327) Data 0.001 (0.001) Loss 1.4173 (1.3822) Prec@1 67.969 (67.935) Prec@5 82.812 (86.606) Epoch: [71][9340/10010] Time 0.327 (0.327) Data 0.001 (0.001) Loss 1.1587 (1.3821) Prec@1 74.219 (67.938) Prec@5 90.625 (86.609) Epoch: [71][9350/10010] Time 0.329 (0.327) Data 0.000 (0.001) Loss 1.6738 (1.3822) Prec@1 58.594 (67.935) Prec@5 82.031 (86.608) Epoch: [71][9360/10010] Time 0.322 (0.327) Data 0.000 (0.001) Loss 1.0690 (1.3822) Prec@1 75.781 (67.937) Prec@5 88.281 (86.607) Epoch: [71][9370/10010] Time 0.327 (0.327) Data 0.001 (0.001) Loss 1.3810 (1.3821) Prec@1 64.062 (67.936) Prec@5 84.375 (86.607) Epoch: [71][9380/10010] Time 0.328 (0.327) Data 0.000 (0.001) Loss 1.4067 (1.3821) Prec@1 69.531 (67.938) Prec@5 89.062 (86.608) Epoch: [71][9390/10010] Time 0.318 (0.327) Data 0.001 (0.001) Loss 1.4566 (1.3820) Prec@1 64.062 (67.938) Prec@5 87.500 (86.609) Epoch: [71][9400/10010] Time 0.335 (0.327) Data 0.000 (0.001) Loss 1.6409 (1.3821) Prec@1 63.281 (67.937) Prec@5 85.156 (86.609) Epoch: [71][9410/10010] Time 0.318 (0.327) Data 0.001 (0.001) Loss 1.0193 (1.3822) Prec@1 75.000 (67.936) Prec@5 91.406 (86.607) Epoch: [71][9420/10010] Time 0.318 (0.327) Data 0.001 (0.001) Loss 1.1520 (1.3821) Prec@1 74.219 (67.935) Prec@5 90.625 (86.608) Epoch: [71][9430/10010] Time 0.317 (0.327) Data 0.000 (0.001) Loss 1.7064 (1.3822) Prec@1 57.031 (67.933) Prec@5 83.594 (86.608) Epoch: [71][9440/10010] Time 0.325 (0.327) Data 0.001 (0.001) Loss 1.4132 (1.3821) Prec@1 66.406 (67.934) Prec@5 84.375 (86.608) Epoch: [71][9450/10010] Time 0.308 (0.327) Data 0.001 (0.001) Loss 1.5013 (1.3822) Prec@1 65.625 (67.931) Prec@5 85.938 (86.606) Epoch: [71][9460/10010] Time 0.325 (0.327) Data 0.001 (0.001) Loss 1.3888 (1.3823) Prec@1 69.531 (67.929) Prec@5 84.375 (86.606) Epoch: [71][9470/10010] Time 0.316 (0.327) Data 0.000 (0.001) Loss 1.2328 (1.3822) Prec@1 73.438 (67.930) Prec@5 88.281 (86.607) Epoch: [71][9480/10010] Time 0.317 (0.327) Data 0.000 (0.001) Loss 1.0909 (1.3821) Prec@1 71.094 (67.929) Prec@5 93.750 (86.607) Epoch: [71][9490/10010] Time 0.314 (0.327) Data 0.001 (0.001) Loss 1.2519 (1.3822) Prec@1 72.656 (67.929) Prec@5 90.625 (86.607) Epoch: [71][9500/10010] Time 0.319 (0.327) Data 0.001 (0.001) Loss 1.2297 (1.3822) Prec@1 74.219 (67.931) Prec@5 86.719 (86.608) Epoch: [71][9510/10010] Time 0.341 (0.327) Data 0.000 (0.001) Loss 1.4170 (1.3822) Prec@1 66.406 (67.929) Prec@5 82.812 (86.607) Epoch: [71][9520/10010] Time 0.323 (0.327) Data 0.001 (0.001) Loss 1.4344 (1.3821) Prec@1 64.062 (67.931) Prec@5 85.156 (86.608) Epoch: [71][9530/10010] Time 0.338 (0.327) Data 0.001 (0.001) Loss 1.3723 (1.3822) Prec@1 66.406 (67.930) Prec@5 84.375 (86.607) Epoch: [71][9540/10010] Time 0.328 (0.327) Data 0.001 (0.001) Loss 1.5025 (1.3822) Prec@1 66.406 (67.929) Prec@5 83.594 (86.606) Epoch: [71][9550/10010] Time 0.321 (0.327) Data 0.001 (0.001) Loss 1.4915 (1.3822) Prec@1 66.406 (67.929) Prec@5 82.812 (86.605) Epoch: [71][9560/10010] Time 0.321 (0.327) Data 0.000 (0.001) Loss 1.2819 (1.3822) Prec@1 70.312 (67.930) Prec@5 90.625 (86.607) Epoch: [71][9570/10010] Time 0.324 (0.327) Data 0.001 (0.001) Loss 1.5205 (1.3822) Prec@1 64.062 (67.929) Prec@5 85.938 (86.607) Epoch: [71][9580/10010] Time 0.337 (0.327) Data 0.001 (0.001) Loss 1.1967 (1.3821) Prec@1 73.438 (67.927) Prec@5 85.156 (86.607) Epoch: [71][9590/10010] Time 0.341 (0.327) Data 0.000 (0.001) Loss 1.3246 (1.3822) Prec@1 67.188 (67.928) Prec@5 85.156 (86.606) Epoch: [71][9600/10010] Time 0.319 (0.327) Data 0.001 (0.001) Loss 1.4482 (1.3821) Prec@1 67.188 (67.929) Prec@5 85.156 (86.608) Epoch: [71][9610/10010] Time 0.327 (0.327) Data 0.000 (0.001) Loss 1.3079 (1.3821) Prec@1 69.531 (67.929) Prec@5 86.719 (86.607) Epoch: [71][9620/10010] Time 0.333 (0.327) Data 0.001 (0.001) Loss 1.0930 (1.3820) Prec@1 72.656 (67.930) Prec@5 90.625 (86.610) Epoch: [71][9630/10010] Time 0.321 (0.327) Data 0.000 (0.001) Loss 1.4959 (1.3820) Prec@1 69.531 (67.932) Prec@5 84.375 (86.610) Epoch: [71][9640/10010] Time 0.315 (0.327) Data 0.001 (0.001) Loss 1.4281 (1.3821) Prec@1 70.312 (67.931) Prec@5 85.156 (86.609) Epoch: [71][9650/10010] Time 0.330 (0.327) Data 0.000 (0.001) Loss 1.4219 (1.3821) Prec@1 67.969 (67.932) Prec@5 87.500 (86.608) Epoch: [71][9660/10010] Time 0.324 (0.327) Data 0.001 (0.001) Loss 1.3829 (1.3820) Prec@1 67.188 (67.933) Prec@5 84.375 (86.610) Epoch: [71][9670/10010] Time 0.340 (0.327) Data 0.000 (0.001) Loss 1.3642 (1.3820) Prec@1 64.844 (67.931) Prec@5 88.281 (86.610) Epoch: [71][9680/10010] Time 0.316 (0.327) Data 0.000 (0.001) Loss 1.4846 (1.3821) Prec@1 66.406 (67.931) Prec@5 88.281 (86.609) Epoch: [71][9690/10010] Time 0.325 (0.327) Data 0.000 (0.001) Loss 1.3916 (1.3821) Prec@1 67.188 (67.931) Prec@5 87.500 (86.608) Epoch: [71][9700/10010] Time 0.341 (0.327) Data 0.001 (0.001) Loss 1.6291 (1.3821) Prec@1 67.188 (67.931) Prec@5 83.594 (86.609) Epoch: [71][9710/10010] Time 0.322 (0.327) Data 0.001 (0.001) Loss 1.4474 (1.3821) Prec@1 66.406 (67.929) Prec@5 81.250 (86.609) Epoch: [71][9720/10010] Time 0.340 (0.327) Data 0.000 (0.001) Loss 1.7093 (1.3822) Prec@1 57.812 (67.928) Prec@5 83.594 (86.609) Epoch: [71][9730/10010] Time 0.326 (0.327) Data 0.001 (0.001) Loss 1.4826 (1.3821) Prec@1 64.062 (67.928) Prec@5 85.156 (86.610) Epoch: [71][9740/10010] Time 0.332 (0.327) Data 0.001 (0.001) Loss 1.5639 (1.3821) Prec@1 66.406 (67.929) Prec@5 84.375 (86.612) Epoch: [71][9750/10010] Time 0.323 (0.327) Data 0.001 (0.001) Loss 1.4719 (1.3821) Prec@1 66.406 (67.926) Prec@5 85.938 (86.609) Epoch: [71][9760/10010] Time 0.334 (0.327) Data 0.001 (0.001) Loss 1.2624 (1.3821) Prec@1 71.094 (67.928) Prec@5 89.062 (86.611) Epoch: [71][9770/10010] Time 0.328 (0.327) Data 0.000 (0.001) Loss 1.6578 (1.3821) Prec@1 62.500 (67.929) Prec@5 80.469 (86.610) Epoch: [71][9780/10010] Time 0.324 (0.327) Data 0.001 (0.001) Loss 1.4390 (1.3820) Prec@1 67.188 (67.930) Prec@5 85.938 (86.611) Epoch: [71][9790/10010] Time 0.331 (0.327) Data 0.001 (0.001) Loss 1.2911 (1.3821) Prec@1 66.406 (67.928) Prec@5 86.719 (86.610) Epoch: [71][9800/10010] Time 0.337 (0.327) Data 0.000 (0.001) Loss 1.3056 (1.3820) Prec@1 69.531 (67.928) Prec@5 82.812 (86.610) Epoch: [71][9810/10010] Time 0.334 (0.327) Data 0.001 (0.001) Loss 1.1779 (1.3820) Prec@1 73.438 (67.929) Prec@5 91.406 (86.611) Epoch: [71][9820/10010] Time 0.320 (0.327) Data 0.001 (0.001) Loss 1.5137 (1.3821) Prec@1 64.062 (67.927) Prec@5 82.812 (86.610) Epoch: [71][9830/10010] Time 0.333 (0.327) Data 0.000 (0.001) Loss 1.4646 (1.3822) Prec@1 67.188 (67.925) Prec@5 85.156 (86.609) Epoch: [71][9840/10010] Time 0.337 (0.327) Data 0.001 (0.001) Loss 1.3961 (1.3823) Prec@1 67.969 (67.924) Prec@5 83.594 (86.607) Epoch: [71][9850/10010] Time 0.323 (0.327) Data 0.000 (0.001) Loss 1.3704 (1.3822) Prec@1 66.406 (67.925) Prec@5 86.719 (86.607) Epoch: [71][9860/10010] Time 0.341 (0.327) Data 0.001 (0.001) Loss 1.1253 (1.3822) Prec@1 73.438 (67.925) Prec@5 89.062 (86.606) Epoch: [71][9870/10010] Time 0.315 (0.327) Data 0.001 (0.001) Loss 1.2261 (1.3822) Prec@1 75.781 (67.927) Prec@5 86.719 (86.607) Epoch: [71][9880/10010] Time 0.326 (0.327) Data 0.001 (0.001) Loss 1.2400 (1.3822) Prec@1 68.750 (67.928) Prec@5 87.500 (86.606) Epoch: [71][9890/10010] Time 0.328 (0.327) Data 0.000 (0.001) Loss 1.4663 (1.3822) Prec@1 60.938 (67.927) Prec@5 85.938 (86.606) Epoch: [71][9900/10010] Time 0.335 (0.327) Data 0.001 (0.001) Loss 1.6449 (1.3822) Prec@1 61.719 (67.928) Prec@5 83.594 (86.606) Epoch: [71][9910/10010] Time 0.322 (0.327) Data 0.001 (0.001) Loss 1.3307 (1.3822) Prec@1 68.750 (67.927) Prec@5 87.500 (86.607) Epoch: [71][9920/10010] Time 0.333 (0.327) Data 0.000 (0.001) Loss 1.2891 (1.3821) Prec@1 69.531 (67.929) Prec@5 87.500 (86.608) Epoch: [71][9930/10010] Time 0.333 (0.327) Data 0.001 (0.001) Loss 1.3278 (1.3820) Prec@1 71.875 (67.930) Prec@5 85.156 (86.608) Epoch: [71][9940/10010] Time 0.323 (0.327) Data 0.000 (0.001) Loss 1.3790 (1.3820) Prec@1 67.188 (67.932) Prec@5 90.625 (86.608) Epoch: [71][9950/10010] Time 0.338 (0.327) Data 0.001 (0.001) Loss 1.1983 (1.3820) Prec@1 72.656 (67.931) Prec@5 89.844 (86.609) Epoch: [71][9960/10010] Time 0.316 (0.327) Data 0.001 (0.001) Loss 1.5775 (1.3820) Prec@1 67.188 (67.932) Prec@5 84.375 (86.610) Epoch: [71][9970/10010] Time 0.332 (0.327) Data 0.000 (0.001) Loss 1.4175 (1.3819) Prec@1 60.156 (67.933) Prec@5 86.719 (86.611) Epoch: [71][9980/10010] Time 0.328 (0.327) Data 0.001 (0.001) Loss 1.5265 (1.3819) Prec@1 61.719 (67.931) Prec@5 83.594 (86.611) Epoch: [71][9990/10010] Time 0.346 (0.327) Data 0.001 (0.001) Loss 1.6424 (1.3820) Prec@1 63.281 (67.930) Prec@5 82.812 (86.609) Epoch: [71][10000/10010] Time 0.333 (0.327) Data 0.000 (0.001) Loss 1.4494 (1.3821) Prec@1 67.969 (67.928) Prec@5 83.594 (86.607) Test: [0/391] Time 1.312 (1.312) Loss 0.6833 (0.6833) Prec@1 85.156 (85.156) Prec@5 94.531 (94.531) Test: [10/391] Time 0.107 (0.232) Loss 1.1190 (0.6460) Prec@1 71.094 (83.665) Prec@5 89.844 (95.099) Test: [20/391] Time 0.106 (0.172) Loss 0.7499 (0.9131) Prec@1 80.469 (76.972) Prec@5 94.531 (92.634) Test: [30/391] Time 0.101 (0.150) Loss 1.5763 (1.0297) Prec@1 69.531 (73.664) Prec@5 86.719 (91.784) Test: [40/391] Time 0.104 (0.140) Loss 0.8522 (0.9248) Prec@1 80.469 (76.334) Prec@5 91.406 (92.664) Test: [50/391] Time 0.103 (0.133) Loss 0.5303 (0.9449) Prec@1 84.375 (76.210) Prec@5 96.875 (92.417) Test: [60/391] Time 0.103 (0.128) Loss 1.0912 (0.8941) Prec@1 71.875 (77.510) Prec@5 89.844 (92.828) Test: [70/391] Time 0.101 (0.125) Loss 0.9545 (0.9225) Prec@1 70.312 (76.474) Prec@5 96.875 (92.925) Test: [80/391] Time 0.106 (0.122) Loss 0.9205 (0.9362) Prec@1 75.781 (75.617) Prec@5 93.750 (93.036) Test: [90/391] Time 0.108 (0.121) Loss 1.0295 (0.9380) Prec@1 65.625 (75.472) Prec@5 94.531 (93.080) Test: [100/391] Time 0.110 (0.120) Loss 0.6202 (0.9299) Prec@1 82.812 (75.402) Prec@5 96.875 (93.332) Test: [110/391] Time 0.100 (0.118) Loss 1.2155 (0.9340) Prec@1 50.781 (75.084) Prec@5 96.094 (93.476) Test: [120/391] Time 0.106 (0.117) Loss 0.7691 (0.9269) Prec@1 80.469 (75.426) Prec@5 96.875 (93.563) Test: [130/391] Time 0.105 (0.117) Loss 0.4874 (0.9220) Prec@1 89.844 (75.716) Prec@5 96.094 (93.589) Test: [140/391] Time 0.104 (0.116) Loss 1.3112 (0.9207) Prec@1 61.719 (75.593) Prec@5 91.406 (93.623) Test: [150/391] Time 0.101 (0.115) Loss 0.9471 (0.9264) Prec@1 69.531 (75.626) Prec@5 93.750 (93.450) Test: [160/391] Time 0.103 (0.114) Loss 0.9241 (0.9343) Prec@1 74.219 (75.471) Prec@5 93.750 (93.342) Test: [170/391] Time 0.103 (0.114) Loss 1.7117 (0.9635) Prec@1 53.906 (74.909) Prec@5 85.938 (93.028) Test: [180/391] Time 0.164 (0.114) Loss 2.0860 (0.9941) Prec@1 51.562 (74.309) Prec@5 83.594 (92.662) Test: [190/391] Time 0.109 (0.113) Loss 2.0286 (1.0270) Prec@1 57.031 (73.646) Prec@5 82.031 (92.228) Test: [200/391] Time 0.108 (0.113) Loss 1.0945 (1.0592) Prec@1 70.312 (73.033) Prec@5 92.188 (91.768) Test: [210/391] Time 0.102 (0.113) Loss 1.4787 (1.0779) Prec@1 66.406 (72.649) Prec@5 85.938 (91.558) Test: [220/391] Time 0.101 (0.112) Loss 0.6445 (1.0885) Prec@1 83.594 (72.476) Prec@5 95.312 (91.339) Test: [230/391] Time 0.112 (0.112) Loss 2.0624 (1.1013) Prec@1 52.344 (72.254) Prec@5 81.250 (91.180) Test: [240/391] Time 0.110 (0.112) Loss 1.3643 (1.1094) Prec@1 75.000 (72.193) Prec@5 85.938 (91.020) Test: [250/391] Time 0.106 (0.112) Loss 0.8566 (1.1351) Prec@1 78.906 (71.573) Prec@5 92.969 (90.693) Test: [260/391] Time 0.104 (0.112) Loss 1.3625 (1.1500) Prec@1 68.750 (71.291) Prec@5 86.719 (90.508) Test: [270/391] Time 0.103 (0.112) Loss 1.9921 (1.1601) Prec@1 54.688 (71.088) Prec@5 83.594 (90.345) Test: [280/391] Time 0.105 (0.111) Loss 1.3129 (1.1671) Prec@1 67.188 (71.016) Prec@5 92.188 (90.255) Test: [290/391] Time 0.107 (0.111) Loss 1.6007 (1.1793) Prec@1 54.688 (70.755) Prec@5 87.500 (90.059) Test: [300/391] Time 0.111 (0.111) Loss 1.2668 (1.1898) Prec@1 78.125 (70.577) Prec@5 85.938 (89.898) Test: [310/391] Time 0.102 (0.111) Loss 1.4101 (1.1981) Prec@1 71.094 (70.438) Prec@5 85.156 (89.738) Test: [320/391] Time 0.104 (0.110) Loss 0.7562 (1.2048) Prec@1 81.250 (70.327) Prec@5 93.750 (89.654) Test: [330/391] Time 0.106 (0.110) Loss 1.9021 (1.2228) Prec@1 57.031 (69.916) Prec@5 78.906 (89.424) Test: [340/391] Time 0.103 (0.110) Loss 1.2336 (1.2285) Prec@1 61.719 (69.756) Prec@5 92.969 (89.370) Test: [350/391] Time 0.106 (0.110) Loss 1.2985 (1.2325) Prec@1 72.656 (69.725) Prec@5 88.281 (89.305) Test: [360/391] Time 0.106 (0.110) Loss 1.3065 (1.2401) Prec@1 63.281 (69.603) Prec@5 92.188 (89.255) Test: [370/391] Time 0.107 (0.110) Loss 1.1404 (1.2357) Prec@1 67.969 (69.672) Prec@5 93.750 (89.322) Test: [380/391] Time 0.108 (0.110) Loss 0.9438 (1.2370) Prec@1 78.906 (69.665) Prec@5 93.750 (89.300) Test: [390/391] Time 0.073 (0.110) Loss 2.1198 (1.2304) Prec@1 38.750 (69.828) Prec@5 77.500 (89.368) * Prec@1 69.828 Prec@5 89.368 Epoch: [72][0/10010] Time 2.772 (2.772) Data 2.586 (2.586) Loss 1.3755 (1.3755) Prec@1 67.969 (67.969) Prec@5 85.938 (85.938) Epoch: [72][10/10010] Time 0.316 (0.539) Data 0.001 (0.236) Loss 1.4878 (1.3583) Prec@1 65.625 (67.401) Prec@5 84.375 (86.648) Epoch: [72][20/10010] Time 0.312 (0.433) Data 0.000 (0.124) Loss 1.3518 (1.2973) Prec@1 67.188 (68.601) Prec@5 89.062 (87.909) Epoch: [72][30/10010] Time 0.317 (0.396) Data 0.001 (0.084) Loss 1.3152 (1.3089) Prec@1 70.312 (68.548) Prec@5 88.281 (87.525) Epoch: [72][40/10010] Time 0.340 (0.377) Data 0.001 (0.064) Loss 1.1555 (1.3274) Prec@1 69.531 (68.083) Prec@5 92.188 (87.214) Epoch: [72][50/10010] Time 0.318 (0.367) Data 0.001 (0.051) Loss 1.4108 (1.3193) Prec@1 64.844 (68.244) Prec@5 88.281 (87.607) Epoch: [72][60/10010] Time 0.325 (0.360) Data 0.000 (0.043) Loss 1.2064 (1.3350) Prec@1 67.188 (68.161) Prec@5 93.750 (87.526) Epoch: [72][70/10010] Time 0.336 (0.356) Data 0.001 (0.037) Loss 1.4778 (1.3379) Prec@1 67.188 (68.420) Prec@5 84.375 (87.269) Epoch: [72][80/10010] Time 0.317 (0.352) Data 0.000 (0.033) Loss 1.5072 (1.3444) Prec@1 65.625 (68.364) Prec@5 85.938 (87.220) Epoch: [72][90/10010] Time 0.323 (0.350) Data 0.001 (0.029) Loss 1.2519 (1.3374) Prec@1 71.875 (68.621) Prec@5 89.062 (87.131) Epoch: [72][100/10010] Time 0.318 (0.347) Data 0.001 (0.026) Loss 1.2013 (1.3503) Prec@1 68.750 (68.541) Prec@5 89.062 (86.943) Epoch: [72][110/10010] Time 0.320 (0.345) Data 0.001 (0.024) Loss 1.2927 (1.3468) Prec@1 71.875 (68.574) Prec@5 85.156 (86.986) Epoch: [72][120/10010] Time 0.333 (0.343) Data 0.001 (0.022) Loss 1.2574 (1.3411) Prec@1 70.312 (68.705) Prec@5 89.844 (87.126) Epoch: [72][130/10010] Time 0.343 (0.342) Data 0.000 (0.020) Loss 1.5854 (1.3441) Prec@1 62.500 (68.553) Prec@5 82.812 (87.089) Epoch: [72][140/10010] Time 0.321 (0.341) Data 0.001 (0.019) Loss 1.2773 (1.3406) Prec@1 69.531 (68.628) Prec@5 86.719 (87.068) Epoch: [72][150/10010] Time 0.319 (0.340) Data 0.000 (0.018) Loss 1.4641 (1.3453) Prec@1 61.719 (68.450) Prec@5 82.031 (86.998) Epoch: [72][160/10010] Time 0.326 (0.339) Data 0.001 (0.017) Loss 1.6494 (1.3492) Prec@1 60.156 (68.328) Prec@5 82.031 (86.971) Epoch: [72][170/10010] Time 0.319 (0.339) Data 0.000 (0.016) Loss 1.5340 (1.3515) Prec@1 67.969 (68.421) Prec@5 83.594 (86.911) Epoch: [72][180/10010] Time 0.320 (0.338) Data 0.001 (0.015) Loss 1.3076 (1.3543) Prec@1 68.750 (68.439) Prec@5 87.500 (86.853) Epoch: [72][190/10010] Time 0.319 (0.337) Data 0.001 (0.014) Loss 1.2182 (1.3557) Prec@1 71.094 (68.374) Prec@5 88.281 (86.846) Epoch: [72][200/10010] Time 0.317 (0.336) Data 0.001 (0.013) Loss 1.3163 (1.3603) Prec@1 70.312 (68.264) Prec@5 85.938 (86.742) Epoch: [72][210/10010] Time 0.337 (0.336) Data 0.001 (0.013) Loss 1.3505 (1.3594) Prec@1 66.406 (68.283) Prec@5 89.062 (86.726) Epoch: [72][220/10010] Time 0.322 (0.335) Data 0.000 (0.012) Loss 1.1917 (1.3607) Prec@1 71.875 (68.273) Prec@5 89.844 (86.698) Epoch: [72][230/10010] Time 0.327 (0.335) Data 0.000 (0.012) Loss 1.2477 (1.3588) Prec@1 69.531 (68.307) Prec@5 86.719 (86.712) Epoch: [72][240/10010] Time 0.329 (0.335) Data 0.000 (0.011) Loss 1.4153 (1.3605) Prec@1 68.750 (68.222) Prec@5 85.156 (86.725) Epoch: [72][250/10010] Time 0.338 (0.335) Data 0.001 (0.011) Loss 1.7778 (1.3619) Prec@1 64.844 (68.246) Prec@5 82.031 (86.713) Epoch: [72][260/10010] Time 0.316 (0.334) Data 0.001 (0.011) Loss 1.1646 (1.3614) Prec@1 72.656 (68.238) Prec@5 89.062 (86.758) Epoch: [72][270/10010] Time 0.320 (0.334) Data 0.001 (0.010) Loss 1.5314 (1.3599) Prec@1 67.188 (68.300) Prec@5 82.031 (86.768) Epoch: [72][280/10010] Time 0.326 (0.333) Data 0.000 (0.010) Loss 1.5455 (1.3630) Prec@1 67.188 (68.258) Prec@5 84.375 (86.680) Epoch: [72][290/10010] Time 0.317 (0.333) Data 0.001 (0.010) Loss 1.3314 (1.3620) Prec@1 67.188 (68.291) Prec@5 85.938 (86.695) Epoch: [72][300/10010] Time 0.318 (0.333) Data 0.001 (0.009) Loss 1.7944 (1.3656) Prec@1 57.031 (68.233) Prec@5 82.031 (86.646) Epoch: [72][310/10010] Time 0.323 (0.332) Data 0.001 (0.009) Loss 1.1881 (1.3664) Prec@1 70.312 (68.275) Prec@5 87.500 (86.618) Epoch: [72][320/10010] Time 0.341 (0.332) Data 0.001 (0.009) Loss 1.1565 (1.3644) Prec@1 71.094 (68.290) Prec@5 88.281 (86.673) Epoch: [72][330/10010] Time 0.321 (0.332) Data 0.000 (0.008) Loss 1.5167 (1.3617) Prec@1 64.844 (68.320) Prec@5 84.375 (86.712) Epoch: [72][340/10010] Time 0.323 (0.332) Data 0.001 (0.008) Loss 1.5811 (1.3620) Prec@1 64.062 (68.310) Prec@5 83.594 (86.705) Epoch: [72][350/10010] Time 0.319 (0.332) Data 0.001 (0.008) Loss 1.4463 (1.3623) Prec@1 67.969 (68.307) Prec@5 87.500 (86.717) Epoch: [72][360/10010] Time 0.317 (0.331) Data 0.001 (0.008) Loss 1.4497 (1.3653) Prec@1 67.188 (68.235) Prec@5 87.500 (86.673) Epoch: [72][370/10010] Time 0.333 (0.331) Data 0.000 (0.008) Loss 1.5286 (1.3669) Prec@1 67.969 (68.209) Prec@5 85.938 (86.679) Epoch: [72][380/10010] Time 0.337 (0.331) Data 0.000 (0.007) Loss 1.5127 (1.3690) Prec@1 70.312 (68.161) Prec@5 85.156 (86.663) Epoch: [72][390/10010] Time 0.331 (0.331) Data 0.000 (0.007) Loss 1.4398 (1.3684) Prec@1 67.188 (68.197) Prec@5 82.812 (86.693) Epoch: [72][400/10010] Time 0.326 (0.331) Data 0.001 (0.007) Loss 1.7043 (1.3694) Prec@1 62.500 (68.206) Prec@5 82.812 (86.676) Epoch: [72][410/10010] Time 0.315 (0.331) Data 0.001 (0.007) Loss 1.1418 (1.3673) Prec@1 71.094 (68.246) Prec@5 89.844 (86.709) Epoch: [72][420/10010] Time 0.325 (0.331) Data 0.000 (0.007) Loss 1.4418 (1.3659) Prec@1 71.094 (68.271) Prec@5 82.031 (86.722) Epoch: [72][430/10010] Time 0.333 (0.330) Data 0.001 (0.007) Loss 0.8577 (1.3638) Prec@1 80.469 (68.333) Prec@5 94.531 (86.744) Epoch: [72][440/10010] Time 0.337 (0.330) Data 0.000 (0.006) Loss 1.5517 (1.3623) Prec@1 67.188 (68.360) Prec@5 81.250 (86.767) Epoch: [72][450/10010] Time 0.335 (0.330) Data 0.000 (0.006) Loss 1.4232 (1.3624) Prec@1 67.969 (68.381) Prec@5 85.156 (86.776) Epoch: [72][460/10010] Time 0.335 (0.330) Data 0.000 (0.006) Loss 1.1520 (1.3624) Prec@1 67.188 (68.379) Prec@5 92.188 (86.783) Epoch: [72][470/10010] Time 0.324 (0.330) Data 0.001 (0.006) Loss 1.0727 (1.3596) Prec@1 73.438 (68.437) Prec@5 89.844 (86.832) Epoch: [72][480/10010] Time 0.331 (0.330) Data 0.001 (0.006) Loss 1.1770 (1.3586) Prec@1 73.438 (68.477) Prec@5 92.188 (86.837) Epoch: [72][490/10010] Time 0.326 (0.330) Data 0.000 (0.006) Loss 1.1270 (1.3568) Prec@1 71.875 (68.494) Prec@5 90.625 (86.871) Epoch: [72][500/10010] Time 0.324 (0.330) Data 0.000 (0.006) Loss 1.4406 (1.3589) Prec@1 68.750 (68.460) Prec@5 85.938 (86.839) Epoch: [72][510/10010] Time 0.326 (0.330) Data 0.001 (0.006) Loss 1.6454 (1.3602) Prec@1 66.406 (68.430) Prec@5 81.250 (86.815) Epoch: [72][520/10010] Time 0.338 (0.330) Data 0.001 (0.006) Loss 1.2297 (1.3621) Prec@1 71.875 (68.426) Prec@5 85.938 (86.782) Epoch: [72][530/10010] Time 0.342 (0.330) Data 0.000 (0.005) Loss 1.4250 (1.3618) Prec@1 67.969 (68.428) Prec@5 85.156 (86.770) Epoch: [72][540/10010] Time 0.312 (0.330) Data 0.000 (0.005) Loss 1.4732 (1.3620) Prec@1 67.188 (68.429) Prec@5 86.719 (86.772) Epoch: [72][550/10010] Time 0.338 (0.330) Data 0.000 (0.005) Loss 1.5716 (1.3631) Prec@1 62.500 (68.386) Prec@5 82.812 (86.758) Epoch: [72][560/10010] Time 0.315 (0.330) Data 0.001 (0.005) Loss 1.6664 (1.3629) Prec@1 66.406 (68.395) Prec@5 82.031 (86.758) Epoch: [72][570/10010] Time 0.321 (0.330) Data 0.000 (0.005) Loss 1.3370 (1.3628) Prec@1 73.438 (68.413) Prec@5 84.375 (86.772) Epoch: [72][580/10010] Time 0.323 (0.330) Data 0.001 (0.005) Loss 1.6297 (1.3655) Prec@1 60.156 (68.344) Prec@5 82.812 (86.730) Epoch: [72][590/10010] Time 0.320 (0.330) Data 0.001 (0.005) Loss 1.3374 (1.3660) Prec@1 73.438 (68.328) Prec@5 89.062 (86.727) Epoch: [72][600/10010] Time 0.320 (0.330) Data 0.001 (0.005) Loss 1.3633 (1.3654) Prec@1 70.312 (68.342) Prec@5 89.062 (86.749) Epoch: [72][610/10010] Time 0.320 (0.329) Data 0.001 (0.005) Loss 1.2402 (1.3663) Prec@1 74.219 (68.332) Prec@5 87.500 (86.730) Epoch: [72][620/10010] Time 0.339 (0.329) Data 0.000 (0.005) Loss 1.3503 (1.3659) Prec@1 66.406 (68.331) Prec@5 87.500 (86.751) Epoch: [72][630/10010] Time 0.332 (0.329) Data 0.001 (0.005) Loss 1.3534 (1.3663) Prec@1 72.656 (68.322) Prec@5 87.500 (86.739) Epoch: [72][640/10010] Time 0.324 (0.329) Data 0.000 (0.005) Loss 1.3461 (1.3659) Prec@1 71.094 (68.316) Prec@5 85.938 (86.748) Epoch: [72][650/10010] Time 0.315 (0.329) Data 0.001 (0.005) Loss 1.4585 (1.3662) Prec@1 67.969 (68.320) Prec@5 80.469 (86.745) Epoch: [72][660/10010] Time 0.318 (0.329) Data 0.000 (0.005) Loss 1.5068 (1.3656) Prec@1 65.625 (68.343) Prec@5 86.719 (86.765) Epoch: [72][670/10010] Time 0.326 (0.329) Data 0.001 (0.004) Loss 1.5569 (1.3656) Prec@1 67.969 (68.352) Prec@5 81.250 (86.754) Epoch: [72][680/10010] Time 0.338 (0.329) Data 0.000 (0.004) Loss 1.1100 (1.3657) Prec@1 72.656 (68.348) Prec@5 89.844 (86.762) Epoch: [72][690/10010] Time 0.325 (0.329) Data 0.001 (0.004) Loss 1.2402 (1.3660) Prec@1 68.750 (68.349) Prec@5 87.500 (86.763) Epoch: [72][700/10010] Time 0.320 (0.329) Data 0.000 (0.004) Loss 1.3725 (1.3654) Prec@1 71.875 (68.364) Prec@5 85.938 (86.763) Epoch: [72][710/10010] Time 0.335 (0.329) Data 0.001 (0.004) Loss 1.5250 (1.3658) Prec@1 65.625 (68.364) Prec@5 85.156 (86.751) Epoch: [72][720/10010] Time 0.341 (0.329) Data 0.001 (0.004) Loss 1.6589 (1.3664) Prec@1 64.062 (68.360) Prec@5 82.812 (86.735) Epoch: [72][730/10010] Time 0.330 (0.329) Data 0.001 (0.004) Loss 1.2212 (1.3654) Prec@1 75.000 (68.397) Prec@5 91.406 (86.754) Epoch: [72][740/10010] Time 0.337 (0.329) Data 0.000 (0.004) Loss 1.1971 (1.3675) Prec@1 72.656 (68.369) Prec@5 85.938 (86.713) Epoch: [72][750/10010] Time 0.333 (0.329) Data 0.001 (0.004) Loss 1.3652 (1.3672) Prec@1 65.625 (68.381) Prec@5 87.500 (86.721) Epoch: [72][760/10010] Time 0.338 (0.329) Data 0.001 (0.004) Loss 1.3169 (1.3659) Prec@1 67.188 (68.400) Prec@5 86.719 (86.730) Epoch: [72][770/10010] Time 0.320 (0.329) Data 0.001 (0.004) Loss 1.3402 (1.3657) Prec@1 71.094 (68.391) Prec@5 86.719 (86.735) Epoch: [72][780/10010] Time 0.314 (0.329) Data 0.000 (0.004) Loss 1.3959 (1.3657) Prec@1 64.062 (68.376) Prec@5 86.719 (86.738) Epoch: [72][790/10010] Time 0.337 (0.329) Data 0.001 (0.004) Loss 1.2474 (1.3660) Prec@1 70.312 (68.362) Prec@5 89.844 (86.734) Epoch: [72][800/10010] Time 0.314 (0.329) Data 0.001 (0.004) Loss 1.4620 (1.3662) Prec@1 65.625 (68.348) Prec@5 85.156 (86.730) Epoch: [72][810/10010] Time 0.328 (0.329) Data 0.001 (0.004) Loss 1.3318 (1.3664) Prec@1 72.656 (68.361) Prec@5 89.062 (86.722) Epoch: [72][820/10010] Time 0.330 (0.329) Data 0.000 (0.004) Loss 1.3299 (1.3667) Prec@1 65.625 (68.354) Prec@5 88.281 (86.729) Epoch: [72][830/10010] Time 0.338 (0.329) Data 0.001 (0.004) Loss 1.1966 (1.3670) Prec@1 67.188 (68.352) Prec@5 91.406 (86.722) Epoch: [72][840/10010] Time 0.332 (0.329) Data 0.001 (0.004) Loss 1.4970 (1.3679) Prec@1 63.281 (68.330) Prec@5 86.719 (86.717) Epoch: [72][850/10010] Time 0.318 (0.329) Data 0.000 (0.004) Loss 1.3376 (1.3683) Prec@1 68.750 (68.333) Prec@5 88.281 (86.716) Epoch: [72][860/10010] Time 0.322 (0.329) Data 0.001 (0.004) Loss 1.4975 (1.3693) Prec@1 62.500 (68.298) Prec@5 83.594 (86.702) Epoch: [72][870/10010] Time 0.345 (0.329) Data 0.001 (0.004) Loss 1.4469 (1.3697) Prec@1 67.969 (68.295) Prec@5 85.156 (86.692) Epoch: [72][880/10010] Time 0.317 (0.329) Data 0.001 (0.004) Loss 1.3771 (1.3691) Prec@1 71.094 (68.309) Prec@5 89.062 (86.708) Epoch: [72][890/10010] Time 0.337 (0.329) Data 0.001 (0.004) Loss 1.4656 (1.3689) Prec@1 64.844 (68.315) Prec@5 85.156 (86.714) Epoch: [72][900/10010] Time 0.308 (0.329) Data 0.001 (0.003) Loss 1.2482 (1.3687) Prec@1 71.875 (68.320) Prec@5 89.844 (86.733) Epoch: [72][910/10010] Time 0.317 (0.329) Data 0.000 (0.003) Loss 1.1487 (1.3687) Prec@1 75.000 (68.322) Prec@5 90.625 (86.738) Epoch: [72][920/10010] Time 0.321 (0.329) Data 0.000 (0.003) Loss 1.3172 (1.3686) Prec@1 71.094 (68.321) Prec@5 88.281 (86.748) Epoch: [72][930/10010] Time 0.335 (0.329) Data 0.001 (0.003) Loss 1.0595 (1.3689) Prec@1 75.781 (68.319) Prec@5 93.750 (86.744) Epoch: [72][940/10010] Time 0.338 (0.329) Data 0.000 (0.003) Loss 1.2164 (1.3696) Prec@1 73.438 (68.291) Prec@5 89.062 (86.737) Epoch: [72][950/10010] Time 0.333 (0.329) Data 0.000 (0.003) Loss 1.1127 (1.3684) Prec@1 72.656 (68.310) Prec@5 85.938 (86.756) Epoch: [72][960/10010] Time 0.324 (0.329) Data 0.000 (0.003) Loss 1.4958 (1.3687) Prec@1 68.750 (68.316) Prec@5 88.281 (86.742) Epoch: [72][970/10010] Time 0.333 (0.329) Data 0.000 (0.003) Loss 1.3382 (1.3690) Prec@1 67.969 (68.320) Prec@5 89.062 (86.742) Epoch: [72][980/10010] Time 0.324 (0.329) Data 0.001 (0.003) Loss 1.4227 (1.3686) Prec@1 61.719 (68.315) Prec@5 87.500 (86.758) Epoch: [72][990/10010] Time 0.323 (0.329) Data 0.001 (0.003) Loss 1.4467 (1.3694) Prec@1 62.500 (68.301) Prec@5 86.719 (86.745) Epoch: [72][1000/10010] Time 0.321 (0.329) Data 0.000 (0.003) Loss 1.3979 (1.3698) Prec@1 60.938 (68.283) Prec@5 89.062 (86.740) Epoch: [72][1010/10010] Time 0.331 (0.329) Data 0.000 (0.003) Loss 1.4912 (1.3700) Prec@1 64.844 (68.266) Prec@5 83.594 (86.733) Epoch: [72][1020/10010] Time 0.316 (0.329) Data 0.001 (0.003) Loss 1.2065 (1.3707) Prec@1 71.875 (68.260) Prec@5 89.844 (86.733) Epoch: [72][1030/10010] Time 0.323 (0.329) Data 0.001 (0.003) Loss 1.2619 (1.3705) Prec@1 65.625 (68.267) Prec@5 89.062 (86.735) Epoch: [72][1040/10010] Time 0.318 (0.328) Data 0.000 (0.003) Loss 1.0745 (1.3700) Prec@1 71.875 (68.273) Prec@5 91.406 (86.749) Epoch: [72][1050/10010] Time 0.319 (0.328) Data 0.001 (0.003) Loss 1.3282 (1.3702) Prec@1 69.531 (68.278) Prec@5 88.281 (86.751) Epoch: [72][1060/10010] Time 0.337 (0.328) Data 0.000 (0.003) Loss 1.6221 (1.3709) Prec@1 67.969 (68.271) Prec@5 84.375 (86.748) Epoch: [72][1070/10010] Time 0.333 (0.328) Data 0.001 (0.003) Loss 1.2907 (1.3709) Prec@1 69.531 (68.263) Prec@5 85.938 (86.754) Epoch: [72][1080/10010] Time 0.314 (0.328) Data 0.000 (0.003) Loss 1.2677 (1.3714) Prec@1 65.625 (68.238) Prec@5 86.719 (86.756) Epoch: [72][1090/10010] Time 0.317 (0.328) Data 0.000 (0.003) Loss 1.4787 (1.3704) Prec@1 67.188 (68.260) Prec@5 83.594 (86.767) Epoch: [72][1100/10010] Time 0.312 (0.328) Data 0.001 (0.003) Loss 1.3450 (1.3705) Prec@1 71.094 (68.259) Prec@5 87.500 (86.757) Epoch: [72][1110/10010] Time 0.332 (0.328) Data 0.001 (0.003) Loss 1.3411 (1.3709) Prec@1 70.312 (68.245) Prec@5 87.500 (86.760) Epoch: [72][1120/10010] Time 0.314 (0.328) Data 0.001 (0.003) Loss 1.2305 (1.3710) Prec@1 73.438 (68.252) Prec@5 87.500 (86.757) Epoch: [72][1130/10010] Time 0.340 (0.328) Data 0.000 (0.003) Loss 1.4094 (1.3706) Prec@1 64.844 (68.247) Prec@5 89.062 (86.768) Epoch: [72][1140/10010] Time 0.319 (0.328) Data 0.000 (0.003) Loss 1.3023 (1.3705) Prec@1 70.312 (68.245) Prec@5 88.281 (86.767) Epoch: [72][1150/10010] Time 0.319 (0.328) Data 0.001 (0.003) Loss 1.7713 (1.3703) Prec@1 57.812 (68.246) Prec@5 83.594 (86.774) Epoch: [72][1160/10010] Time 0.311 (0.328) Data 0.001 (0.003) Loss 1.2933 (1.3710) Prec@1 74.219 (68.241) Prec@5 88.281 (86.762) Epoch: [72][1170/10010] Time 0.332 (0.328) Data 0.001 (0.003) Loss 1.9344 (1.3717) Prec@1 57.031 (68.232) Prec@5 80.469 (86.752) Epoch: [72][1180/10010] Time 0.327 (0.328) Data 0.001 (0.003) Loss 1.3608 (1.3718) Prec@1 71.094 (68.233) Prec@5 84.375 (86.749) Epoch: [72][1190/10010] Time 0.323 (0.328) Data 0.001 (0.003) Loss 1.3448 (1.3718) Prec@1 67.969 (68.229) Prec@5 87.500 (86.751) Epoch: [72][1200/10010] Time 0.326 (0.328) Data 0.001 (0.003) Loss 1.2462 (1.3713) Prec@1 71.094 (68.237) Prec@5 89.844 (86.758) Epoch: [72][1210/10010] Time 0.336 (0.328) Data 0.001 (0.003) Loss 1.4629 (1.3714) Prec@1 67.188 (68.235) Prec@5 87.500 (86.757) Epoch: [72][1220/10010] Time 0.327 (0.328) Data 0.001 (0.003) Loss 0.9896 (1.3716) Prec@1 76.562 (68.247) Prec@5 92.969 (86.753) Epoch: [72][1230/10010] Time 0.319 (0.328) Data 0.000 (0.003) Loss 1.4804 (1.3711) Prec@1 63.281 (68.252) Prec@5 82.031 (86.752) Epoch: [72][1240/10010] Time 0.326 (0.328) Data 0.000 (0.003) Loss 1.3047 (1.3701) Prec@1 67.188 (68.280) Prec@5 88.281 (86.761) Epoch: [72][1250/10010] Time 0.334 (0.328) Data 0.000 (0.003) Loss 1.5296 (1.3703) Prec@1 60.156 (68.279) Prec@5 85.938 (86.758) Epoch: [72][1260/10010] Time 0.318 (0.328) Data 0.001 (0.003) Loss 1.5455 (1.3705) Prec@1 71.094 (68.272) Prec@5 86.719 (86.756) Epoch: [72][1270/10010] Time 0.336 (0.328) Data 0.000 (0.003) Loss 1.4810 (1.3709) Prec@1 66.406 (68.270) Prec@5 86.719 (86.752) Epoch: [72][1280/10010] Time 0.334 (0.328) Data 0.000 (0.003) Loss 1.1479 (1.3712) Prec@1 74.219 (68.265) Prec@5 87.500 (86.742) Epoch: [72][1290/10010] Time 0.320 (0.328) Data 0.001 (0.003) Loss 1.5310 (1.3710) Prec@1 59.375 (68.275) Prec@5 84.375 (86.738) Epoch: [72][1300/10010] Time 0.332 (0.328) Data 0.000 (0.003) Loss 1.3849 (1.3701) Prec@1 65.625 (68.290) Prec@5 86.719 (86.746) Epoch: [72][1310/10010] Time 0.332 (0.328) Data 0.000 (0.003) Loss 1.3891 (1.3704) Prec@1 68.750 (68.283) Prec@5 86.719 (86.743) Epoch: [72][1320/10010] Time 0.315 (0.328) Data 0.001 (0.003) Loss 1.2858 (1.3701) Prec@1 67.188 (68.276) Prec@5 89.062 (86.750) Epoch: [72][1330/10010] Time 0.337 (0.328) Data 0.001 (0.003) Loss 1.3059 (1.3702) Prec@1 72.656 (68.275) Prec@5 87.500 (86.745) Epoch: [72][1340/10010] Time 0.330 (0.328) Data 0.001 (0.003) Loss 1.1700 (1.3699) Prec@1 71.875 (68.280) Prec@5 88.281 (86.749) Epoch: [72][1350/10010] Time 0.333 (0.328) Data 0.001 (0.003) Loss 1.3844 (1.3694) Prec@1 65.625 (68.295) Prec@5 84.375 (86.751) Epoch: [72][1360/10010] Time 0.332 (0.328) Data 0.000 (0.003) Loss 1.5582 (1.3699) Prec@1 64.062 (68.284) Prec@5 85.938 (86.746) Epoch: [72][1370/10010] Time 0.334 (0.328) Data 0.000 (0.003) Loss 1.3394 (1.3703) Prec@1 71.094 (68.275) Prec@5 89.844 (86.746) Epoch: [72][1380/10010] Time 0.337 (0.328) Data 0.001 (0.002) Loss 1.5985 (1.3706) Prec@1 61.719 (68.267) Prec@5 83.594 (86.732) Epoch: [72][1390/10010] Time 0.329 (0.328) Data 0.001 (0.002) Loss 1.4933 (1.3711) Prec@1 64.062 (68.255) Prec@5 83.594 (86.723) Epoch: [72][1400/10010] Time 0.318 (0.328) Data 0.000 (0.002) Loss 1.4979 (1.3711) Prec@1 71.094 (68.262) Prec@5 82.031 (86.722) Epoch: [72][1410/10010] Time 0.322 (0.328) Data 0.001 (0.002) Loss 1.5691 (1.3713) Prec@1 64.062 (68.264) Prec@5 80.469 (86.719) Epoch: [72][1420/10010] Time 0.336 (0.328) Data 0.001 (0.002) Loss 1.2816 (1.3709) Prec@1 72.656 (68.267) Prec@5 85.938 (86.725) Epoch: [72][1430/10010] Time 0.334 (0.328) Data 0.001 (0.002) Loss 1.4114 (1.3707) Prec@1 63.281 (68.265) Prec@5 85.938 (86.724) Epoch: [72][1440/10010] Time 0.328 (0.328) Data 0.000 (0.002) Loss 1.3193 (1.3707) Prec@1 65.625 (68.260) Prec@5 84.375 (86.725) Epoch: [72][1450/10010] Time 0.321 (0.328) Data 0.000 (0.002) Loss 1.5376 (1.3706) Prec@1 67.969 (68.255) Prec@5 84.375 (86.735) Epoch: [72][1460/10010] Time 0.314 (0.328) Data 0.001 (0.002) Loss 1.2462 (1.3703) Prec@1 69.531 (68.258) Prec@5 87.500 (86.736) Epoch: [72][1470/10010] Time 0.325 (0.328) Data 0.000 (0.002) Loss 1.4454 (1.3704) Prec@1 67.969 (68.245) Prec@5 79.688 (86.740) Epoch: [72][1480/10010] Time 0.324 (0.328) Data 0.001 (0.002) Loss 1.5071 (1.3706) Prec@1 61.719 (68.240) Prec@5 83.594 (86.737) Epoch: [72][1490/10010] Time 0.334 (0.328) Data 0.001 (0.002) Loss 1.2831 (1.3704) Prec@1 71.094 (68.247) Prec@5 88.281 (86.743) Epoch: [72][1500/10010] Time 0.324 (0.328) Data 0.000 (0.002) Loss 1.5135 (1.3712) Prec@1 64.844 (68.234) Prec@5 81.250 (86.730) Epoch: [72][1510/10010] Time 0.333 (0.328) Data 0.001 (0.002) Loss 1.3380 (1.3713) Prec@1 67.188 (68.244) Prec@5 84.375 (86.721) Epoch: [72][1520/10010] Time 0.341 (0.328) Data 0.000 (0.002) Loss 1.3036 (1.3709) Prec@1 71.094 (68.251) Prec@5 85.156 (86.725) Epoch: [72][1530/10010] Time 0.320 (0.328) Data 0.000 (0.002) Loss 1.5407 (1.3710) Prec@1 63.281 (68.247) Prec@5 82.031 (86.721) Epoch: [72][1540/10010] Time 0.332 (0.328) Data 0.001 (0.002) Loss 1.5724 (1.3710) Prec@1 69.531 (68.249) Prec@5 82.812 (86.722) Epoch: [72][1550/10010] Time 0.337 (0.328) Data 0.000 (0.002) Loss 1.4197 (1.3710) Prec@1 65.625 (68.243) Prec@5 86.719 (86.718) Epoch: [72][1560/10010] Time 0.321 (0.328) Data 0.000 (0.002) Loss 1.1959 (1.3710) Prec@1 71.875 (68.253) Prec@5 90.625 (86.722) Epoch: [72][1570/10010] Time 0.327 (0.328) Data 0.000 (0.002) Loss 1.2998 (1.3718) Prec@1 69.531 (68.241) Prec@5 88.281 (86.708) Epoch: [72][1580/10010] Time 0.331 (0.328) Data 0.001 (0.002) Loss 1.1534 (1.3709) Prec@1 72.656 (68.255) Prec@5 88.281 (86.715) Epoch: [72][1590/10010] Time 0.337 (0.328) Data 0.000 (0.002) Loss 1.4725 (1.3709) Prec@1 64.844 (68.255) Prec@5 85.938 (86.722) Epoch: [72][1600/10010] Time 0.322 (0.328) Data 0.001 (0.002) Loss 1.1663 (1.3713) Prec@1 71.094 (68.253) Prec@5 90.625 (86.716) Epoch: [72][1610/10010] Time 0.325 (0.328) Data 0.000 (0.002) Loss 1.5419 (1.3711) Prec@1 57.812 (68.240) Prec@5 82.812 (86.715) Epoch: [72][1620/10010] Time 0.332 (0.328) Data 0.001 (0.002) Loss 1.2135 (1.3717) Prec@1 71.875 (68.232) Prec@5 90.625 (86.706) Epoch: [72][1630/10010] Time 0.339 (0.328) Data 0.000 (0.002) Loss 1.6468 (1.3723) Prec@1 59.375 (68.213) Prec@5 82.812 (86.695) Epoch: [72][1640/10010] Time 0.337 (0.328) Data 0.000 (0.002) Loss 1.7625 (1.3728) Prec@1 60.938 (68.201) Prec@5 81.250 (86.687) Epoch: [72][1650/10010] Time 0.338 (0.328) Data 0.001 (0.002) Loss 1.1857 (1.3724) Prec@1 71.094 (68.218) Prec@5 86.719 (86.690) Epoch: [72][1660/10010] Time 0.318 (0.328) Data 0.001 (0.002) Loss 1.2656 (1.3725) Prec@1 75.000 (68.211) Prec@5 87.500 (86.685) Epoch: [72][1670/10010] Time 0.318 (0.328) Data 0.000 (0.002) Loss 1.2161 (1.3724) Prec@1 75.000 (68.214) Prec@5 89.062 (86.683) Epoch: [72][1680/10010] Time 0.342 (0.328) Data 0.000 (0.002) Loss 1.4806 (1.3724) Prec@1 67.188 (68.216) Prec@5 83.594 (86.685) Epoch: [72][1690/10010] Time 0.329 (0.328) Data 0.000 (0.002) Loss 1.4976 (1.3724) Prec@1 62.500 (68.209) Prec@5 85.938 (86.683) Epoch: [72][1700/10010] Time 0.318 (0.328) Data 0.000 (0.002) Loss 1.1894 (1.3724) Prec@1 74.219 (68.211) Prec@5 89.062 (86.687) Epoch: [72][1710/10010] Time 0.339 (0.328) Data 0.000 (0.002) Loss 1.4149 (1.3724) Prec@1 65.625 (68.202) Prec@5 87.500 (86.691) Epoch: [72][1720/10010] Time 0.338 (0.328) Data 0.000 (0.002) Loss 1.5780 (1.3724) Prec@1 58.594 (68.204) Prec@5 81.250 (86.685) Epoch: [72][1730/10010] Time 0.321 (0.328) Data 0.001 (0.002) Loss 1.1919 (1.3722) Prec@1 71.875 (68.211) Prec@5 90.625 (86.689) Epoch: [72][1740/10010] Time 0.338 (0.328) Data 0.000 (0.002) Loss 1.2035 (1.3723) Prec@1 71.094 (68.206) Prec@5 89.062 (86.688) Epoch: [72][1750/10010] Time 0.323 (0.328) Data 0.001 (0.002) Loss 1.5956 (1.3721) Prec@1 61.719 (68.212) Prec@5 85.938 (86.692) Epoch: [72][1760/10010] Time 0.323 (0.328) Data 0.001 (0.002) Loss 1.3848 (1.3718) Prec@1 67.188 (68.216) Prec@5 86.719 (86.695) Epoch: [72][1770/10010] Time 0.329 (0.328) Data 0.001 (0.002) Loss 1.5388 (1.3719) Prec@1 65.625 (68.212) Prec@5 85.938 (86.699) Epoch: [72][1780/10010] Time 0.337 (0.328) Data 0.000 (0.002) Loss 1.3364 (1.3720) Prec@1 70.312 (68.211) Prec@5 88.281 (86.697) Epoch: [72][1790/10010] Time 0.316 (0.328) Data 0.000 (0.002) Loss 1.7437 (1.3720) Prec@1 61.719 (68.215) Prec@5 78.906 (86.694) Epoch: [72][1800/10010] Time 0.330 (0.328) Data 0.001 (0.002) Loss 1.8128 (1.3718) Prec@1 57.812 (68.219) Prec@5 81.250 (86.694) Epoch: [72][1810/10010] Time 0.318 (0.328) Data 0.001 (0.002) Loss 1.4821 (1.3721) Prec@1 64.844 (68.216) Prec@5 79.688 (86.688) Epoch: [72][1820/10010] Time 0.326 (0.328) Data 0.000 (0.002) Loss 1.0595 (1.3717) Prec@1 69.531 (68.228) Prec@5 92.188 (86.693) Epoch: [72][1830/10010] Time 0.324 (0.328) Data 0.000 (0.002) Loss 1.6319 (1.3722) Prec@1 64.844 (68.224) Prec@5 81.250 (86.685) Epoch: [72][1840/10010] Time 0.322 (0.328) Data 0.001 (0.002) Loss 1.2140 (1.3720) Prec@1 69.531 (68.232) Prec@5 90.625 (86.682) Epoch: [72][1850/10010] Time 0.318 (0.328) Data 0.001 (0.002) Loss 1.6413 (1.3721) Prec@1 67.188 (68.233) Prec@5 81.250 (86.679) Epoch: [72][1860/10010] Time 0.315 (0.328) Data 0.000 (0.002) Loss 1.6599 (1.3724) Prec@1 64.844 (68.227) Prec@5 82.031 (86.676) Epoch: [72][1870/10010] Time 0.324 (0.328) Data 0.000 (0.002) Loss 1.4176 (1.3726) Prec@1 65.625 (68.221) Prec@5 86.719 (86.675) Epoch: [72][1880/10010] Time 0.333 (0.328) Data 0.001 (0.002) Loss 1.3410 (1.3724) Prec@1 68.750 (68.220) Prec@5 86.719 (86.676) Epoch: [72][1890/10010] Time 0.315 (0.328) Data 0.001 (0.002) Loss 1.1560 (1.3722) Prec@1 73.438 (68.227) Prec@5 90.625 (86.676) Epoch: [72][1900/10010] Time 0.329 (0.328) Data 0.001 (0.002) Loss 1.4515 (1.3720) Prec@1 65.625 (68.231) Prec@5 87.500 (86.679) Epoch: [72][1910/10010] Time 0.328 (0.328) Data 0.001 (0.002) Loss 1.3702 (1.3721) Prec@1 67.969 (68.230) Prec@5 83.594 (86.678) Epoch: [72][1920/10010] Time 0.325 (0.328) Data 0.000 (0.002) Loss 1.1944 (1.3718) Prec@1 69.531 (68.235) Prec@5 91.406 (86.681) Epoch: [72][1930/10010] Time 0.339 (0.328) Data 0.001 (0.002) Loss 1.3883 (1.3723) Prec@1 67.188 (68.226) Prec@5 85.156 (86.674) Epoch: [72][1940/10010] Time 0.319 (0.328) Data 0.000 (0.002) Loss 1.3119 (1.3720) Prec@1 68.750 (68.239) Prec@5 86.719 (86.677) Epoch: [72][1950/10010] Time 0.322 (0.328) Data 0.001 (0.002) Loss 1.4132 (1.3717) Prec@1 67.188 (68.245) Prec@5 86.719 (86.684) Epoch: [72][1960/10010] Time 0.330 (0.328) Data 0.000 (0.002) Loss 1.2591 (1.3713) Prec@1 73.438 (68.261) Prec@5 89.062 (86.686) Epoch: [72][1970/10010] Time 0.306 (0.328) Data 0.001 (0.002) Loss 1.2830 (1.3713) Prec@1 66.406 (68.263) Prec@5 86.719 (86.687) Epoch: [72][1980/10010] Time 0.317 (0.328) Data 0.000 (0.002) Loss 1.4438 (1.3716) Prec@1 65.625 (68.258) Prec@5 84.375 (86.684) Epoch: [72][1990/10010] Time 0.322 (0.328) Data 0.000 (0.002) Loss 1.5117 (1.3716) Prec@1 70.312 (68.258) Prec@5 81.250 (86.680) Epoch: [72][2000/10010] Time 0.327 (0.328) Data 0.000 (0.002) Loss 1.1099 (1.3712) Prec@1 70.312 (68.262) Prec@5 91.406 (86.690) Epoch: [72][2010/10010] Time 0.325 (0.328) Data 0.001 (0.002) Loss 1.4203 (1.3713) Prec@1 65.625 (68.261) Prec@5 88.281 (86.694) Epoch: [72][2020/10010] Time 0.331 (0.328) Data 0.001 (0.002) Loss 0.9936 (1.3714) Prec@1 74.219 (68.258) Prec@5 93.750 (86.691) Epoch: [72][2030/10010] Time 0.323 (0.328) Data 0.001 (0.002) Loss 1.1036 (1.3713) Prec@1 73.438 (68.263) Prec@5 90.625 (86.696) Epoch: [72][2040/10010] Time 0.334 (0.328) Data 0.001 (0.002) Loss 1.2978 (1.3712) Prec@1 67.969 (68.275) Prec@5 88.281 (86.693) Epoch: [72][2050/10010] Time 0.312 (0.328) Data 0.001 (0.002) Loss 1.8589 (1.3711) Prec@1 59.375 (68.280) Prec@5 80.469 (86.693) Epoch: [72][2060/10010] Time 0.322 (0.328) Data 0.001 (0.002) Loss 1.1468 (1.3707) Prec@1 67.969 (68.275) Prec@5 92.969 (86.698) Epoch: [72][2070/10010] Time 0.319 (0.327) Data 0.001 (0.002) Loss 1.4724 (1.3710) Prec@1 65.625 (68.269) Prec@5 85.938 (86.700) /data/vision/torralba/deepscene/lib/anaconda2/lib/python2.7/site-packages/PIL/TiffImagePlugin.py:692: UserWarning: Possibly corrupt EXIF data. Expecting to read 2555904 bytes but only got 0. Skipping tag 0 "Skipping tag %s" % (size, len(data), tag)) Epoch: [72][2080/10010] Time 0.324 (0.328) Data 0.001 (0.002) Loss 1.1406 (1.3707) Prec@1 68.750 (68.278) Prec@5 92.188 (86.704) Epoch: [72][2090/10010] Time 0.329 (0.328) Data 0.000 (0.002) Loss 1.4879 (1.3713) Prec@1 65.625 (68.265) Prec@5 85.156 (86.696) Epoch: [72][2100/10010] Time 0.330 (0.327) Data 0.000 (0.002) Loss 1.4565 (1.3713) Prec@1 66.406 (68.269) Prec@5 85.156 (86.695) Epoch: [72][2110/10010] Time 0.331 (0.328) Data 0.000 (0.002) Loss 1.2075 (1.3711) Prec@1 70.312 (68.269) Prec@5 86.719 (86.694) Epoch: [72][2120/10010] Time 0.313 (0.328) Data 0.001 (0.002) Loss 1.5042 (1.3713) Prec@1 62.500 (68.263) Prec@5 85.156 (86.694) Epoch: [72][2130/10010] Time 0.335 (0.328) Data 0.001 (0.002) Loss 1.3543 (1.3715) Prec@1 67.188 (68.253) Prec@5 85.938 (86.691) Epoch: [72][2140/10010] Time 0.324 (0.328) Data 0.000 (0.002) Loss 1.1967 (1.3719) Prec@1 70.312 (68.239) Prec@5 87.500 (86.687) Epoch: [72][2150/10010] Time 0.334 (0.328) Data 0.001 (0.002) Loss 1.5329 (1.3722) Prec@1 61.719 (68.231) Prec@5 81.250 (86.682) Epoch: [72][2160/10010] Time 0.326 (0.328) Data 0.000 (0.002) Loss 1.3077 (1.3720) Prec@1 65.625 (68.225) Prec@5 88.281 (86.687) Epoch: [72][2170/10010] Time 0.318 (0.328) Data 0.001 (0.002) Loss 1.4903 (1.3722) Prec@1 68.750 (68.218) Prec@5 83.594 (86.684) Epoch: [72][2180/10010] Time 0.345 (0.328) Data 0.000 (0.002) Loss 1.4847 (1.3725) Prec@1 70.312 (68.204) Prec@5 85.156 (86.683) Epoch: [72][2190/10010] Time 0.310 (0.328) Data 0.001 (0.002) Loss 1.5273 (1.3726) Prec@1 61.719 (68.200) Prec@5 85.938 (86.680) Epoch: [72][2200/10010] Time 0.323 (0.328) Data 0.001 (0.002) Loss 1.4463 (1.3725) Prec@1 67.969 (68.202) Prec@5 79.688 (86.678) Epoch: [72][2210/10010] Time 0.322 (0.328) Data 0.000 (0.002) Loss 1.4726 (1.3726) Prec@1 67.188 (68.199) Prec@5 82.812 (86.678) Epoch: [72][2220/10010] Time 0.339 (0.328) Data 0.000 (0.002) Loss 1.3245 (1.3723) Prec@1 69.531 (68.202) Prec@5 85.938 (86.682) Epoch: [72][2230/10010] Time 0.319 (0.328) Data 0.001 (0.002) Loss 1.3481 (1.3720) Prec@1 66.406 (68.210) Prec@5 86.719 (86.688) Epoch: [72][2240/10010] Time 0.333 (0.328) Data 0.000 (0.002) Loss 1.3646 (1.3718) Prec@1 74.219 (68.214) Prec@5 84.375 (86.693) Epoch: [72][2250/10010] Time 0.314 (0.328) Data 0.000 (0.002) Loss 1.2966 (1.3714) Prec@1 67.188 (68.223) Prec@5 87.500 (86.703) Epoch: [72][2260/10010] Time 0.329 (0.328) Data 0.001 (0.002) Loss 1.2831 (1.3712) Prec@1 78.906 (68.227) Prec@5 86.719 (86.705) Epoch: [72][2270/10010] Time 0.334 (0.328) Data 0.000 (0.002) Loss 1.2459 (1.3710) Prec@1 70.312 (68.236) Prec@5 85.156 (86.705) Epoch: [72][2280/10010] Time 0.318 (0.328) Data 0.000 (0.002) Loss 1.5064 (1.3712) Prec@1 63.281 (68.232) Prec@5 84.375 (86.705) Epoch: [72][2290/10010] Time 0.335 (0.327) Data 0.000 (0.002) Loss 1.0712 (1.3711) Prec@1 73.438 (68.236) Prec@5 94.531 (86.704) Epoch: [72][2300/10010] Time 0.322 (0.327) Data 0.001 (0.002) Loss 1.4706 (1.3711) Prec@1 64.062 (68.239) Prec@5 85.156 (86.700) Epoch: [72][2310/10010] Time 0.320 (0.327) Data 0.000 (0.002) Loss 1.1205 (1.3709) Prec@1 71.875 (68.239) Prec@5 89.844 (86.703) Epoch: [72][2320/10010] Time 0.341 (0.328) Data 0.000 (0.002) Loss 1.2822 (1.3707) Prec@1 75.000 (68.246) Prec@5 88.281 (86.705) Epoch: [72][2330/10010] Time 0.328 (0.327) Data 0.001 (0.002) Loss 1.4902 (1.3705) Prec@1 64.844 (68.252) Prec@5 85.156 (86.710) Epoch: [72][2340/10010] Time 0.316 (0.327) Data 0.001 (0.002) Loss 1.6673 (1.3707) Prec@1 64.062 (68.255) Prec@5 82.031 (86.709) Epoch: [72][2350/10010] Time 0.329 (0.327) Data 0.000 (0.002) Loss 1.5521 (1.3709) Prec@1 71.094 (68.258) Prec@5 83.594 (86.702) Epoch: [72][2360/10010] Time 0.316 (0.327) Data 0.001 (0.002) Loss 1.3003 (1.3710) Prec@1 70.312 (68.256) Prec@5 87.500 (86.702) Epoch: [72][2370/10010] Time 0.337 (0.327) Data 0.001 (0.002) Loss 1.3848 (1.3710) Prec@1 67.969 (68.258) Prec@5 87.500 (86.707) Epoch: [72][2380/10010] Time 0.315 (0.327) Data 0.001 (0.002) Loss 1.5009 (1.3710) Prec@1 67.188 (68.253) Prec@5 82.031 (86.708) Epoch: [72][2390/10010] Time 0.314 (0.327) Data 0.001 (0.002) Loss 1.3663 (1.3710) Prec@1 67.188 (68.256) Prec@5 85.156 (86.704) Epoch: [72][2400/10010] Time 0.335 (0.327) Data 0.001 (0.002) Loss 1.4286 (1.3710) Prec@1 66.406 (68.259) Prec@5 84.375 (86.702) Epoch: [72][2410/10010] Time 0.319 (0.327) Data 0.001 (0.002) Loss 1.4121 (1.3707) Prec@1 64.062 (68.260) Prec@5 85.938 (86.707) Epoch: [72][2420/10010] Time 0.326 (0.327) Data 0.001 (0.002) Loss 1.2842 (1.3708) Prec@1 66.406 (68.258) Prec@5 85.156 (86.706) Epoch: [72][2430/10010] Time 0.331 (0.328) Data 0.000 (0.002) Loss 1.3305 (1.3710) Prec@1 67.188 (68.252) Prec@5 89.062 (86.708) Epoch: [72][2440/10010] Time 0.337 (0.328) Data 0.000 (0.002) Loss 1.3903 (1.3709) Prec@1 69.531 (68.257) Prec@5 86.719 (86.709) Epoch: [72][2450/10010] Time 0.313 (0.328) Data 0.000 (0.002) Loss 1.3024 (1.3708) Prec@1 70.312 (68.256) Prec@5 85.156 (86.713) Epoch: [72][2460/10010] Time 0.340 (0.328) Data 0.000 (0.002) Loss 1.3784 (1.3708) Prec@1 68.750 (68.255) Prec@5 87.500 (86.714) Epoch: [72][2470/10010] Time 0.327 (0.328) Data 0.000 (0.002) Loss 1.2683 (1.3706) Prec@1 65.625 (68.257) Prec@5 88.281 (86.716) Epoch: [72][2480/10010] Time 0.338 (0.328) Data 0.001 (0.002) Loss 1.4604 (1.3705) Prec@1 65.625 (68.260) Prec@5 85.156 (86.717) Epoch: [72][2490/10010] Time 0.332 (0.328) Data 0.000 (0.002) Loss 1.3782 (1.3704) Prec@1 73.438 (68.262) Prec@5 87.500 (86.718) Epoch: [72][2500/10010] Time 0.325 (0.327) Data 0.000 (0.002) Loss 1.5407 (1.3707) Prec@1 64.062 (68.251) Prec@5 83.594 (86.715) Epoch: [72][2510/10010] Time 0.341 (0.328) Data 0.001 (0.002) Loss 1.6788 (1.3706) Prec@1 57.812 (68.248) Prec@5 82.812 (86.717) Epoch: [72][2520/10010] Time 0.337 (0.328) Data 0.001 (0.002) Loss 1.2461 (1.3707) Prec@1 68.750 (68.243) Prec@5 89.062 (86.714) Epoch: [72][2530/10010] Time 0.331 (0.328) Data 0.001 (0.002) Loss 1.5762 (1.3706) Prec@1 67.188 (68.240) Prec@5 85.156 (86.717) Epoch: [72][2540/10010] Time 0.333 (0.328) Data 0.000 (0.002) Loss 1.0428 (1.3703) Prec@1 72.656 (68.246) Prec@5 90.625 (86.716) Epoch: [72][2550/10010] Time 0.340 (0.328) Data 0.000 (0.002) Loss 1.5840 (1.3703) Prec@1 61.719 (68.238) Prec@5 85.938 (86.717) Epoch: [72][2560/10010] Time 0.314 (0.328) Data 0.001 (0.002) Loss 1.3710 (1.3703) Prec@1 66.406 (68.236) Prec@5 86.719 (86.722) Epoch: [72][2570/10010] Time 0.338 (0.328) Data 0.001 (0.002) Loss 1.1880 (1.3702) Prec@1 70.312 (68.237) Prec@5 89.844 (86.725) Epoch: [72][2580/10010] Time 0.326 (0.328) Data 0.000 (0.002) Loss 1.2027 (1.3700) Prec@1 72.656 (68.238) Prec@5 90.625 (86.729) Epoch: [72][2590/10010] Time 0.333 (0.328) Data 0.001 (0.002) Loss 1.4537 (1.3699) Prec@1 64.062 (68.235) Prec@5 87.500 (86.731) Epoch: [72][2600/10010] Time 0.324 (0.328) Data 0.001 (0.002) Loss 1.2261 (1.3698) Prec@1 69.531 (68.231) Prec@5 86.719 (86.731) Epoch: [72][2610/10010] Time 0.332 (0.328) Data 0.001 (0.002) Loss 1.6184 (1.3701) Prec@1 59.375 (68.225) Prec@5 84.375 (86.727) Epoch: [72][2620/10010] Time 0.338 (0.328) Data 0.000 (0.002) Loss 1.1391 (1.3698) Prec@1 73.438 (68.232) Prec@5 90.625 (86.731) Epoch: [72][2630/10010] Time 0.338 (0.328) Data 0.001 (0.002) Loss 1.3235 (1.3699) Prec@1 67.969 (68.229) Prec@5 87.500 (86.729) Epoch: [72][2640/10010] Time 0.338 (0.328) Data 0.001 (0.002) Loss 1.5472 (1.3704) Prec@1 63.281 (68.219) Prec@5 84.375 (86.723) Epoch: [72][2650/10010] Time 0.315 (0.328) Data 0.000 (0.002) Loss 1.4876 (1.3704) Prec@1 68.750 (68.220) Prec@5 82.812 (86.721) Epoch: [72][2660/10010] Time 0.339 (0.328) Data 0.000 (0.002) Loss 1.3522 (1.3705) Prec@1 66.406 (68.220) Prec@5 87.500 (86.719) Epoch: [72][2670/10010] Time 0.320 (0.328) Data 0.000 (0.002) Loss 1.5012 (1.3707) Prec@1 66.406 (68.216) Prec@5 82.812 (86.712) Epoch: [72][2680/10010] Time 0.318 (0.328) Data 0.000 (0.002) Loss 1.2331 (1.3707) Prec@1 68.750 (68.213) Prec@5 89.844 (86.714) Epoch: [72][2690/10010] Time 0.332 (0.328) Data 0.000 (0.002) Loss 1.4186 (1.3708) Prec@1 67.188 (68.211) Prec@5 83.594 (86.711) Epoch: [72][2700/10010] Time 0.324 (0.328) Data 0.000 (0.002) Loss 0.9688 (1.3705) Prec@1 76.562 (68.217) Prec@5 92.188 (86.716) Epoch: [72][2710/10010] Time 0.329 (0.328) Data 0.000 (0.002) Loss 1.3960 (1.3703) Prec@1 70.312 (68.222) Prec@5 88.281 (86.720) Epoch: [72][2720/10010] Time 0.337 (0.328) Data 0.000 (0.002) Loss 1.3012 (1.3703) Prec@1 67.969 (68.219) Prec@5 86.719 (86.718) Epoch: [72][2730/10010] Time 0.328 (0.328) Data 0.001 (0.002) Loss 1.2307 (1.3705) Prec@1 68.750 (68.214) Prec@5 85.938 (86.716) Epoch: [72][2740/10010] Time 0.326 (0.328) Data 0.000 (0.002) Loss 1.4037 (1.3704) Prec@1 67.969 (68.214) Prec@5 85.156 (86.714) Epoch: [72][2750/10010] Time 0.319 (0.328) Data 0.001 (0.002) Loss 1.3321 (1.3705) Prec@1 67.188 (68.218) Prec@5 85.938 (86.713) Epoch: [72][2760/10010] Time 0.318 (0.328) Data 0.000 (0.002) Loss 1.5679 (1.3705) Prec@1 65.625 (68.224) Prec@5 83.594 (86.711) Epoch: [72][2770/10010] Time 0.316 (0.328) Data 0.000 (0.002) Loss 1.3149 (1.3702) Prec@1 70.312 (68.235) Prec@5 86.719 (86.720) Epoch: [72][2780/10010] Time 0.334 (0.328) Data 0.000 (0.002) Loss 1.5796 (1.3706) Prec@1 62.500 (68.229) Prec@5 82.031 (86.711) Epoch: [72][2790/10010] Time 0.326 (0.328) Data 0.001 (0.002) Loss 1.3800 (1.3709) Prec@1 69.531 (68.226) Prec@5 84.375 (86.707) Epoch: [72][2800/10010] Time 0.325 (0.328) Data 0.001 (0.002) Loss 1.6119 (1.3708) Prec@1 66.406 (68.221) Prec@5 84.375 (86.707) Epoch: [72][2810/10010] Time 0.338 (0.328) Data 0.001 (0.002) Loss 1.2454 (1.3710) Prec@1 67.188 (68.216) Prec@5 88.281 (86.704) Epoch: [72][2820/10010] Time 0.333 (0.328) Data 0.000 (0.002) Loss 1.3812 (1.3708) Prec@1 67.188 (68.217) Prec@5 87.500 (86.707) Epoch: [72][2830/10010] Time 0.312 (0.328) Data 0.001 (0.002) Loss 1.3928 (1.3708) Prec@1 66.406 (68.215) Prec@5 86.719 (86.706) Epoch: [72][2840/10010] Time 0.328 (0.328) Data 0.000 (0.002) Loss 1.1123 (1.3707) Prec@1 73.438 (68.215) Prec@5 90.625 (86.709) Epoch: [72][2850/10010] Time 0.316 (0.328) Data 0.000 (0.002) Loss 1.5180 (1.3708) Prec@1 61.719 (68.215) Prec@5 85.156 (86.706) Epoch: [72][2860/10010] Time 0.336 (0.328) Data 0.001 (0.002) Loss 1.3328 (1.3707) Prec@1 66.406 (68.218) Prec@5 88.281 (86.711) Epoch: [72][2870/10010] Time 0.342 (0.328) Data 0.001 (0.002) Loss 1.4365 (1.3704) Prec@1 61.719 (68.224) Prec@5 89.844 (86.714) Epoch: [72][2880/10010] Time 0.324 (0.328) Data 0.001 (0.002) Loss 1.2887 (1.3704) Prec@1 70.312 (68.223) Prec@5 85.938 (86.714) Epoch: [72][2890/10010] Time 0.316 (0.328) Data 0.001 (0.002) Loss 1.4892 (1.3702) Prec@1 64.062 (68.227) Prec@5 87.500 (86.716) Epoch: [72][2900/10010] Time 0.321 (0.328) Data 0.001 (0.002) Loss 1.6721 (1.3705) Prec@1 62.500 (68.222) Prec@5 82.812 (86.713) Epoch: [72][2910/10010] Time 0.338 (0.328) Data 0.001 (0.002) Loss 1.0526 (1.3705) Prec@1 77.344 (68.218) Prec@5 91.406 (86.712) Epoch: [72][2920/10010] Time 0.336 (0.328) Data 0.001 (0.001) Loss 1.5203 (1.3704) Prec@1 66.406 (68.221) Prec@5 84.375 (86.714) Epoch: [72][2930/10010] Time 0.316 (0.327) Data 0.000 (0.001) Loss 1.5839 (1.3705) Prec@1 64.062 (68.220) Prec@5 82.812 (86.712) Epoch: [72][2940/10010] Time 0.333 (0.327) Data 0.000 (0.001) Loss 1.4367 (1.3703) Prec@1 64.844 (68.227) Prec@5 89.062 (86.717) Epoch: [72][2950/10010] Time 0.319 (0.327) Data 0.001 (0.001) Loss 1.3541 (1.3704) Prec@1 64.062 (68.223) Prec@5 85.938 (86.718) Epoch: [72][2960/10010] Time 0.336 (0.327) Data 0.000 (0.001) Loss 1.3979 (1.3704) Prec@1 67.969 (68.227) Prec@5 85.156 (86.720) Epoch: [72][2970/10010] Time 0.337 (0.327) Data 0.001 (0.001) Loss 1.0626 (1.3700) Prec@1 77.344 (68.235) Prec@5 90.625 (86.725) Epoch: [72][2980/10010] Time 0.317 (0.327) Data 0.001 (0.001) Loss 1.7824 (1.3702) Prec@1 64.844 (68.234) Prec@5 82.812 (86.724) Epoch: [72][2990/10010] Time 0.334 (0.327) Data 0.000 (0.001) Loss 1.1621 (1.3703) Prec@1 71.875 (68.233) Prec@5 90.625 (86.727) Epoch: [72][3000/10010] Time 0.322 (0.327) Data 0.001 (0.001) Loss 1.5072 (1.3703) Prec@1 67.969 (68.238) Prec@5 82.812 (86.726) Epoch: [72][3010/10010] Time 0.318 (0.327) Data 0.001 (0.001) Loss 1.6531 (1.3702) Prec@1 63.281 (68.235) Prec@5 82.031 (86.727) Epoch: [72][3020/10010] Time 0.322 (0.327) Data 0.001 (0.001) Loss 1.4739 (1.3701) Prec@1 66.406 (68.238) Prec@5 85.156 (86.731) Epoch: [72][3030/10010] Time 0.322 (0.327) Data 0.001 (0.001) Loss 1.4606 (1.3703) Prec@1 67.188 (68.237) Prec@5 82.812 (86.729) Epoch: [72][3040/10010] Time 0.311 (0.327) Data 0.001 (0.001) Loss 1.3553 (1.3703) Prec@1 64.844 (68.238) Prec@5 86.719 (86.729) Epoch: [72][3050/10010] Time 0.318 (0.327) Data 0.000 (0.001) Loss 1.2694 (1.3704) Prec@1 64.062 (68.239) Prec@5 87.500 (86.725) Epoch: [72][3060/10010] Time 0.325 (0.327) Data 0.001 (0.001) Loss 1.0509 (1.3701) Prec@1 78.906 (68.244) Prec@5 94.531 (86.732) Epoch: [72][3070/10010] Time 0.325 (0.327) Data 0.001 (0.001) Loss 1.3931 (1.3705) Prec@1 67.188 (68.236) Prec@5 89.844 (86.725) Epoch: [72][3080/10010] Time 0.315 (0.327) Data 0.000 (0.001) Loss 1.6201 (1.3707) Prec@1 60.938 (68.229) Prec@5 83.594 (86.721) Epoch: [72][3090/10010] Time 0.318 (0.327) Data 0.001 (0.001) Loss 1.4431 (1.3707) Prec@1 64.062 (68.225) Prec@5 84.375 (86.717) Epoch: [72][3100/10010] Time 0.334 (0.327) Data 0.001 (0.001) Loss 1.4155 (1.3706) Prec@1 62.500 (68.225) Prec@5 86.719 (86.721) Epoch: [72][3110/10010] Time 0.339 (0.327) Data 0.001 (0.001) Loss 1.7031 (1.3706) Prec@1 60.156 (68.223) Prec@5 88.281 (86.726) Epoch: [72][3120/10010] Time 0.318 (0.327) Data 0.001 (0.001) Loss 1.1887 (1.3705) Prec@1 72.656 (68.224) Prec@5 86.719 (86.729) Epoch: [72][3130/10010] Time 0.313 (0.327) Data 0.001 (0.001) Loss 1.3698 (1.3707) Prec@1 67.188 (68.223) Prec@5 84.375 (86.726) Epoch: [72][3140/10010] Time 0.342 (0.327) Data 0.000 (0.001) Loss 1.2345 (1.3706) Prec@1 72.656 (68.222) Prec@5 89.844 (86.725) Epoch: [72][3150/10010] Time 0.321 (0.327) Data 0.000 (0.001) Loss 1.4149 (1.3707) Prec@1 67.188 (68.221) Prec@5 86.719 (86.727) Epoch: [72][3160/10010] Time 0.327 (0.327) Data 0.001 (0.001) Loss 1.5432 (1.3711) Prec@1 60.938 (68.210) Prec@5 83.594 (86.721) Epoch: [72][3170/10010] Time 0.334 (0.327) Data 0.001 (0.001) Loss 1.5540 (1.3709) Prec@1 64.062 (68.212) Prec@5 85.938 (86.723) Epoch: [72][3180/10010] Time 0.312 (0.327) Data 0.001 (0.001) Loss 1.3368 (1.3707) Prec@1 71.875 (68.217) Prec@5 89.844 (86.726) Epoch: [72][3190/10010] Time 0.320 (0.327) Data 0.000 (0.001) Loss 1.4648 (1.3706) Prec@1 70.312 (68.218) Prec@5 86.719 (86.728) Epoch: [72][3200/10010] Time 0.327 (0.327) Data 0.001 (0.001) Loss 1.1597 (1.3700) Prec@1 75.000 (68.227) Prec@5 93.750 (86.738) Epoch: [72][3210/10010] Time 0.312 (0.327) Data 0.000 (0.001) Loss 1.2885 (1.3701) Prec@1 71.094 (68.228) Prec@5 88.281 (86.735) Epoch: [72][3220/10010] Time 0.334 (0.327) Data 0.001 (0.001) Loss 1.2448 (1.3700) Prec@1 65.625 (68.231) Prec@5 91.406 (86.737) Epoch: [72][3230/10010] Time 0.332 (0.327) Data 0.000 (0.001) Loss 1.4075 (1.3701) Prec@1 64.062 (68.226) Prec@5 88.281 (86.736) Epoch: [72][3240/10010] Time 0.335 (0.327) Data 0.000 (0.001) Loss 1.3614 (1.3697) Prec@1 70.312 (68.234) Prec@5 86.719 (86.742) Epoch: [72][3250/10010] Time 0.321 (0.327) Data 0.000 (0.001) Loss 1.6242 (1.3699) Prec@1 64.062 (68.229) Prec@5 85.156 (86.742) Epoch: [72][3260/10010] Time 0.318 (0.327) Data 0.001 (0.001) Loss 1.2558 (1.3700) Prec@1 70.312 (68.226) Prec@5 86.719 (86.739) Epoch: [72][3270/10010] Time 0.325 (0.327) Data 0.000 (0.001) Loss 1.6067 (1.3700) Prec@1 63.281 (68.220) Prec@5 82.812 (86.740) Epoch: [72][3280/10010] Time 0.319 (0.327) Data 0.001 (0.001) Loss 1.3339 (1.3700) Prec@1 67.188 (68.217) Prec@5 87.500 (86.740) Epoch: [72][3290/10010] Time 0.334 (0.327) Data 0.000 (0.001) Loss 1.3722 (1.3700) Prec@1 69.531 (68.216) Prec@5 87.500 (86.740) Epoch: [72][3300/10010] Time 0.330 (0.327) Data 0.000 (0.001) Loss 1.3307 (1.3699) Prec@1 67.969 (68.219) Prec@5 88.281 (86.740) Epoch: [72][3310/10010] Time 0.317 (0.327) Data 0.001 (0.001) Loss 1.3390 (1.3698) Prec@1 71.875 (68.220) Prec@5 86.719 (86.741) Epoch: [72][3320/10010] Time 0.321 (0.327) Data 0.001 (0.001) Loss 1.2613 (1.3700) Prec@1 71.094 (68.216) Prec@5 90.625 (86.740) Epoch: [72][3330/10010] Time 0.323 (0.327) Data 0.001 (0.001) Loss 1.3610 (1.3699) Prec@1 70.312 (68.215) Prec@5 85.938 (86.740) Epoch: [72][3340/10010] Time 0.333 (0.327) Data 0.000 (0.001) Loss 1.3247 (1.3700) Prec@1 67.188 (68.210) Prec@5 86.719 (86.739) Epoch: [72][3350/10010] Time 0.328 (0.327) Data 0.000 (0.001) Loss 1.5163 (1.3699) Prec@1 66.406 (68.211) Prec@5 85.938 (86.739) Epoch: [72][3360/10010] Time 0.306 (0.327) Data 0.001 (0.001) Loss 1.4490 (1.3699) Prec@1 60.156 (68.214) Prec@5 88.281 (86.739) Epoch: [72][3370/10010] Time 0.316 (0.327) Data 0.000 (0.001) Loss 1.5737 (1.3700) Prec@1 69.531 (68.211) Prec@5 83.594 (86.740) Epoch: [72][3380/10010] Time 0.317 (0.327) Data 0.001 (0.001) Loss 1.6387 (1.3701) Prec@1 60.938 (68.207) Prec@5 82.031 (86.740) Epoch: [72][3390/10010] Time 0.328 (0.327) Data 0.001 (0.001) Loss 1.3443 (1.3702) Prec@1 70.312 (68.201) Prec@5 90.625 (86.738) Epoch: [72][3400/10010] Time 0.336 (0.327) Data 0.001 (0.001) Loss 1.7747 (1.3704) Prec@1 58.594 (68.193) Prec@5 79.688 (86.734) Epoch: [72][3410/10010] Time 0.332 (0.327) Data 0.001 (0.001) Loss 1.1723 (1.3703) Prec@1 73.438 (68.193) Prec@5 88.281 (86.734) Epoch: [72][3420/10010] Time 0.333 (0.327) Data 0.000 (0.001) Loss 1.1200 (1.3702) Prec@1 71.094 (68.193) Prec@5 91.406 (86.735) Epoch: [72][3430/10010] Time 0.321 (0.327) Data 0.000 (0.001) Loss 1.4326 (1.3701) Prec@1 65.625 (68.193) Prec@5 84.375 (86.737) Epoch: [72][3440/10010] Time 0.331 (0.327) Data 0.001 (0.001) Loss 1.1731 (1.3700) Prec@1 73.438 (68.195) Prec@5 89.062 (86.736) Epoch: [72][3450/10010] Time 0.325 (0.327) Data 0.001 (0.001) Loss 1.3371 (1.3698) Prec@1 72.656 (68.200) Prec@5 82.031 (86.735) Epoch: [72][3460/10010] Time 0.321 (0.327) Data 0.001 (0.001) Loss 1.5698 (1.3700) Prec@1 64.844 (68.200) Prec@5 84.375 (86.735) Epoch: [72][3470/10010] Time 0.318 (0.327) Data 0.001 (0.001) Loss 1.1310 (1.3701) Prec@1 73.438 (68.198) Prec@5 93.750 (86.733) Epoch: [72][3480/10010] Time 0.312 (0.327) Data 0.001 (0.001) Loss 1.2559 (1.3702) Prec@1 68.750 (68.197) Prec@5 85.938 (86.729) Epoch: [72][3490/10010] Time 0.323 (0.327) Data 0.000 (0.001) Loss 1.4458 (1.3701) Prec@1 70.312 (68.197) Prec@5 82.812 (86.731) Epoch: [72][3500/10010] Time 0.337 (0.327) Data 0.000 (0.001) Loss 1.5469 (1.3699) Prec@1 61.719 (68.198) Prec@5 85.938 (86.733) Epoch: [72][3510/10010] Time 0.332 (0.327) Data 0.001 (0.001) Loss 1.9289 (1.3697) Prec@1 59.375 (68.206) Prec@5 77.344 (86.735) Epoch: [72][3520/10010] Time 0.332 (0.327) Data 0.000 (0.001) Loss 1.4145 (1.3698) Prec@1 67.969 (68.205) Prec@5 85.938 (86.733) Epoch: [72][3530/10010] Time 0.313 (0.327) Data 0.001 (0.001) Loss 1.3849 (1.3698) Prec@1 71.094 (68.207) Prec@5 85.156 (86.728) Epoch: [72][3540/10010] Time 0.340 (0.327) Data 0.001 (0.001) Loss 1.4500 (1.3696) Prec@1 60.938 (68.212) Prec@5 86.719 (86.732) Epoch: [72][3550/10010] Time 0.332 (0.327) Data 0.001 (0.001) Loss 1.5153 (1.3700) Prec@1 64.844 (68.206) Prec@5 85.938 (86.723) Epoch: [72][3560/10010] Time 0.323 (0.327) Data 0.001 (0.001) Loss 1.4289 (1.3700) Prec@1 69.531 (68.211) Prec@5 85.156 (86.721) Epoch: [72][3570/10010] Time 0.335 (0.327) Data 0.001 (0.001) Loss 1.5699 (1.3699) Prec@1 67.188 (68.210) Prec@5 84.375 (86.724) Epoch: [72][3580/10010] Time 0.343 (0.327) Data 0.000 (0.001) Loss 1.2703 (1.3699) Prec@1 71.094 (68.214) Prec@5 86.719 (86.720) Epoch: [72][3590/10010] Time 0.330 (0.327) Data 0.000 (0.001) Loss 1.2250 (1.3700) Prec@1 72.656 (68.213) Prec@5 84.375 (86.718) Epoch: [72][3600/10010] Time 0.313 (0.327) Data 0.001 (0.001) Loss 1.6276 (1.3701) Prec@1 64.844 (68.211) Prec@5 84.375 (86.717) Epoch: [72][3610/10010] Time 0.334 (0.327) Data 0.001 (0.001) Loss 1.4962 (1.3702) Prec@1 66.406 (68.205) Prec@5 83.594 (86.716) Epoch: [72][3620/10010] Time 0.333 (0.327) Data 0.000 (0.001) Loss 1.2764 (1.3700) Prec@1 73.438 (68.205) Prec@5 85.938 (86.717) Epoch: [72][3630/10010] Time 0.339 (0.327) Data 0.000 (0.001) Loss 1.3856 (1.3701) Prec@1 67.969 (68.200) Prec@5 87.500 (86.717) Epoch: [72][3640/10010] Time 0.322 (0.327) Data 0.001 (0.001) Loss 1.2557 (1.3701) Prec@1 67.969 (68.200) Prec@5 88.281 (86.720) Epoch: [72][3650/10010] Time 0.326 (0.327) Data 0.001 (0.001) Loss 1.5574 (1.3701) Prec@1 57.812 (68.195) Prec@5 82.812 (86.718) Epoch: [72][3660/10010] Time 0.327 (0.327) Data 0.001 (0.001) Loss 1.3475 (1.3701) Prec@1 69.531 (68.190) Prec@5 85.156 (86.719) Epoch: [72][3670/10010] Time 0.339 (0.327) Data 0.000 (0.001) Loss 1.3978 (1.3702) Prec@1 67.969 (68.188) Prec@5 87.500 (86.717) Epoch: [72][3680/10010] Time 0.310 (0.327) Data 0.001 (0.001) Loss 1.2487 (1.3701) Prec@1 67.969 (68.186) Prec@5 86.719 (86.716) Epoch: [72][3690/10010] Time 0.345 (0.327) Data 0.000 (0.001) Loss 1.4372 (1.3702) Prec@1 64.844 (68.181) Prec@5 89.062 (86.715) Epoch: [72][3700/10010] Time 0.339 (0.327) Data 0.001 (0.001) Loss 0.9614 (1.3701) Prec@1 75.781 (68.182) Prec@5 91.406 (86.713) Epoch: [72][3710/10010] Time 0.316 (0.327) Data 0.001 (0.001) Loss 1.0723 (1.3702) Prec@1 77.344 (68.185) Prec@5 92.188 (86.712) Epoch: [72][3720/10010] Time 0.335 (0.327) Data 0.001 (0.001) Loss 1.1151 (1.3702) Prec@1 73.438 (68.188) Prec@5 86.719 (86.712) Epoch: [72][3730/10010] Time 0.314 (0.327) Data 0.001 (0.001) Loss 1.7052 (1.3703) Prec@1 60.156 (68.184) Prec@5 83.594 (86.715) Epoch: [72][3740/10010] Time 0.330 (0.327) Data 0.001 (0.001) Loss 1.4544 (1.3705) Prec@1 70.312 (68.182) Prec@5 84.375 (86.711) Epoch: [72][3750/10010] Time 0.337 (0.327) Data 0.001 (0.001) Loss 1.2729 (1.3706) Prec@1 70.312 (68.178) Prec@5 89.062 (86.708) Epoch: [72][3760/10010] Time 0.314 (0.327) Data 0.001 (0.001) Loss 1.0354 (1.3704) Prec@1 73.438 (68.179) Prec@5 89.062 (86.710) Epoch: [72][3770/10010] Time 0.329 (0.327) Data 0.000 (0.001) Loss 1.5156 (1.3704) Prec@1 62.500 (68.175) Prec@5 82.812 (86.714) Epoch: [72][3780/10010] Time 0.319 (0.327) Data 0.001 (0.001) Loss 1.6657 (1.3705) Prec@1 63.281 (68.171) Prec@5 82.812 (86.711) Epoch: [72][3790/10010] Time 0.314 (0.327) Data 0.001 (0.001) Loss 1.4289 (1.3705) Prec@1 67.969 (68.170) Prec@5 82.031 (86.712) Epoch: [72][3800/10010] Time 0.325 (0.327) Data 0.001 (0.001) Loss 1.4540 (1.3704) Prec@1 66.406 (68.170) Prec@5 84.375 (86.714) Epoch: [72][3810/10010] Time 0.314 (0.327) Data 0.001 (0.001) Loss 1.5213 (1.3705) Prec@1 62.500 (68.167) Prec@5 86.719 (86.712) Epoch: [72][3820/10010] Time 0.322 (0.327) Data 0.001 (0.001) Loss 1.2426 (1.3705) Prec@1 73.438 (68.167) Prec@5 86.719 (86.712) Epoch: [72][3830/10010] Time 0.319 (0.327) Data 0.001 (0.001) Loss 1.3945 (1.3707) Prec@1 67.969 (68.164) Prec@5 87.500 (86.710) Epoch: [72][3840/10010] Time 0.336 (0.327) Data 0.001 (0.001) Loss 1.1597 (1.3708) Prec@1 71.875 (68.165) Prec@5 89.062 (86.704) Epoch: [72][3850/10010] Time 0.339 (0.327) Data 0.001 (0.001) Loss 1.5282 (1.3710) Prec@1 62.500 (68.160) Prec@5 85.156 (86.700) Epoch: [72][3860/10010] Time 0.318 (0.327) Data 0.001 (0.001) Loss 1.0553 (1.3709) Prec@1 74.219 (68.160) Prec@5 92.188 (86.700) Epoch: [72][3870/10010] Time 0.316 (0.327) Data 0.001 (0.001) Loss 1.3890 (1.3709) Prec@1 66.406 (68.158) Prec@5 89.844 (86.702) Epoch: [72][3880/10010] Time 0.313 (0.327) Data 0.001 (0.001) Loss 1.4435 (1.3707) Prec@1 65.625 (68.161) Prec@5 84.375 (86.701) Epoch: [72][3890/10010] Time 0.334 (0.327) Data 0.000 (0.001) Loss 1.0858 (1.3708) Prec@1 75.000 (68.157) Prec@5 89.844 (86.698) Epoch: [72][3900/10010] Time 0.310 (0.327) Data 0.001 (0.001) Loss 1.4541 (1.3708) Prec@1 66.406 (68.158) Prec@5 82.812 (86.696) Epoch: [72][3910/10010] Time 0.337 (0.327) Data 0.000 (0.001) Loss 1.3285 (1.3707) Prec@1 68.750 (68.162) Prec@5 85.938 (86.697) Epoch: [72][3920/10010] Time 0.319 (0.327) Data 0.001 (0.001) Loss 1.6050 (1.3706) Prec@1 62.500 (68.163) Prec@5 81.250 (86.699) Epoch: [72][3930/10010] Time 0.332 (0.327) Data 0.001 (0.001) Loss 1.3213 (1.3707) Prec@1 73.438 (68.162) Prec@5 85.156 (86.698) Epoch: [72][3940/10010] Time 0.317 (0.327) Data 0.000 (0.001) Loss 1.2344 (1.3706) Prec@1 68.750 (68.164) Prec@5 88.281 (86.701) Epoch: [72][3950/10010] Time 0.318 (0.327) Data 0.001 (0.001) Loss 1.5675 (1.3707) Prec@1 67.188 (68.165) Prec@5 81.250 (86.699) Epoch: [72][3960/10010] Time 0.339 (0.327) Data 0.000 (0.001) Loss 1.3790 (1.3709) Prec@1 70.312 (68.160) Prec@5 85.156 (86.697) Epoch: [72][3970/10010] Time 0.333 (0.327) Data 0.001 (0.001) Loss 1.0277 (1.3706) Prec@1 75.781 (68.169) Prec@5 90.625 (86.701) Epoch: [72][3980/10010] Time 0.313 (0.327) Data 0.000 (0.001) Loss 1.5030 (1.3705) Prec@1 67.969 (68.171) Prec@5 84.375 (86.704) Epoch: [72][3990/10010] Time 0.313 (0.327) Data 0.001 (0.001) Loss 1.2666 (1.3706) Prec@1 72.656 (68.167) Prec@5 87.500 (86.703) Epoch: [72][4000/10010] Time 0.324 (0.327) Data 0.001 (0.001) Loss 1.4863 (1.3707) Prec@1 66.406 (68.166) Prec@5 82.812 (86.698) Epoch: [72][4010/10010] Time 0.324 (0.327) Data 0.001 (0.001) Loss 1.1450 (1.3706) Prec@1 69.531 (68.165) Prec@5 88.281 (86.701) Epoch: [72][4020/10010] Time 0.339 (0.327) Data 0.000 (0.001) Loss 1.4121 (1.3706) Prec@1 63.281 (68.169) Prec@5 83.594 (86.700) Epoch: [72][4030/10010] Time 0.317 (0.327) Data 0.001 (0.001) Loss 1.3566 (1.3707) Prec@1 71.094 (68.164) Prec@5 88.281 (86.700) Epoch: [72][4040/10010] Time 0.330 (0.327) Data 0.001 (0.001) Loss 1.2441 (1.3707) Prec@1 71.875 (68.166) Prec@5 88.281 (86.698) Epoch: [72][4050/10010] Time 0.335 (0.327) Data 0.000 (0.001) Loss 1.4875 (1.3707) Prec@1 70.312 (68.170) Prec@5 85.156 (86.700) Epoch: [72][4060/10010] Time 0.315 (0.327) Data 0.000 (0.001) Loss 1.5231 (1.3707) Prec@1 61.719 (68.168) Prec@5 83.594 (86.698) Epoch: [72][4070/10010] Time 0.323 (0.327) Data 0.001 (0.001) Loss 1.4209 (1.3705) Prec@1 69.531 (68.175) Prec@5 87.500 (86.701) Epoch: [72][4080/10010] Time 0.320 (0.327) Data 0.001 (0.001) Loss 1.5174 (1.3704) Prec@1 61.719 (68.178) Prec@5 84.375 (86.703) Epoch: [72][4090/10010] Time 0.329 (0.327) Data 0.001 (0.001) Loss 1.5088 (1.3705) Prec@1 67.969 (68.178) Prec@5 82.031 (86.702) Epoch: [72][4100/10010] Time 0.318 (0.327) Data 0.000 (0.001) Loss 1.3584 (1.3707) Prec@1 71.875 (68.176) Prec@5 83.594 (86.700) Epoch: [72][4110/10010] Time 0.321 (0.327) Data 0.001 (0.001) Loss 1.2141 (1.3706) Prec@1 71.094 (68.177) Prec@5 87.500 (86.701) Epoch: [72][4120/10010] Time 0.321 (0.327) Data 0.001 (0.001) Loss 1.3959 (1.3706) Prec@1 64.062 (68.176) Prec@5 86.719 (86.702) Epoch: [72][4130/10010] Time 0.318 (0.327) Data 0.000 (0.001) Loss 1.1239 (1.3705) Prec@1 73.438 (68.177) Prec@5 89.062 (86.702) Epoch: [72][4140/10010] Time 0.334 (0.327) Data 0.000 (0.001) Loss 1.5648 (1.3707) Prec@1 62.500 (68.174) Prec@5 83.594 (86.700) Epoch: [72][4150/10010] Time 0.319 (0.327) Data 0.000 (0.001) Loss 1.1675 (1.3707) Prec@1 71.094 (68.175) Prec@5 87.500 (86.697) Epoch: [72][4160/10010] Time 0.334 (0.327) Data 0.000 (0.001) Loss 1.4071 (1.3709) Prec@1 67.969 (68.169) Prec@5 86.719 (86.693) Epoch: [72][4170/10010] Time 0.322 (0.327) Data 0.000 (0.001) Loss 1.4042 (1.3709) Prec@1 64.062 (68.168) Prec@5 87.500 (86.692) Epoch: [72][4180/10010] Time 0.312 (0.327) Data 0.000 (0.001) Loss 1.5296 (1.3710) Prec@1 67.188 (68.167) Prec@5 84.375 (86.691) Epoch: [72][4190/10010] Time 0.333 (0.327) Data 0.000 (0.001) Loss 1.3619 (1.3710) Prec@1 71.094 (68.171) Prec@5 85.938 (86.690) Epoch: [72][4200/10010] Time 0.326 (0.327) Data 0.001 (0.001) Loss 1.5882 (1.3710) Prec@1 70.312 (68.173) Prec@5 82.031 (86.689) Epoch: [72][4210/10010] Time 0.338 (0.327) Data 0.000 (0.001) Loss 1.0661 (1.3710) Prec@1 75.781 (68.174) Prec@5 88.281 (86.688) Epoch: [72][4220/10010] Time 0.335 (0.327) Data 0.000 (0.001) Loss 1.3530 (1.3711) Prec@1 71.094 (68.173) Prec@5 84.375 (86.687) Epoch: [72][4230/10010] Time 0.335 (0.327) Data 0.001 (0.001) Loss 1.2164 (1.3709) Prec@1 68.750 (68.176) Prec@5 88.281 (86.689) Epoch: [72][4240/10010] Time 0.316 (0.327) Data 0.001 (0.001) Loss 1.4704 (1.3708) Prec@1 68.750 (68.179) Prec@5 85.938 (86.691) Epoch: [72][4250/10010] Time 0.317 (0.327) Data 0.001 (0.001) Loss 1.4727 (1.3708) Prec@1 62.500 (68.174) Prec@5 83.594 (86.691) Epoch: [72][4260/10010] Time 0.336 (0.327) Data 0.001 (0.001) Loss 1.5336 (1.3710) Prec@1 71.094 (68.173) Prec@5 79.688 (86.688) Epoch: [72][4270/10010] Time 0.315 (0.327) Data 0.000 (0.001) Loss 1.2184 (1.3711) Prec@1 67.969 (68.171) Prec@5 88.281 (86.687) Epoch: [72][4280/10010] Time 0.318 (0.327) Data 0.001 (0.001) Loss 1.3531 (1.3709) Prec@1 66.406 (68.174) Prec@5 89.062 (86.690) Epoch: [72][4290/10010] Time 0.314 (0.327) Data 0.000 (0.001) Loss 1.6945 (1.3709) Prec@1 66.406 (68.174) Prec@5 82.031 (86.690) Epoch: [72][4300/10010] Time 0.314 (0.327) Data 0.001 (0.001) Loss 1.2084 (1.3711) Prec@1 72.656 (68.170) Prec@5 92.188 (86.692) Epoch: [72][4310/10010] Time 0.342 (0.327) Data 0.000 (0.001) Loss 1.2214 (1.3712) Prec@1 73.438 (68.170) Prec@5 89.844 (86.689) Epoch: [72][4320/10010] Time 0.320 (0.327) Data 0.001 (0.001) Loss 1.5464 (1.3714) Prec@1 67.969 (68.168) Prec@5 86.719 (86.689) Epoch: [72][4330/10010] Time 0.319 (0.327) Data 0.000 (0.001) Loss 1.3973 (1.3715) Prec@1 66.406 (68.165) Prec@5 88.281 (86.688) Epoch: [72][4340/10010] Time 0.318 (0.327) Data 0.000 (0.001) Loss 1.1098 (1.3714) Prec@1 70.312 (68.169) Prec@5 92.188 (86.689) Epoch: [72][4350/10010] Time 0.326 (0.327) Data 0.000 (0.001) Loss 1.4071 (1.3713) Prec@1 67.969 (68.168) Prec@5 84.375 (86.692) Epoch: [72][4360/10010] Time 0.334 (0.327) Data 0.001 (0.001) Loss 1.4219 (1.3712) Prec@1 67.188 (68.168) Prec@5 85.156 (86.693) Epoch: [72][4370/10010] Time 0.313 (0.327) Data 0.000 (0.001) Loss 1.6608 (1.3716) Prec@1 59.375 (68.159) Prec@5 82.812 (86.686) Epoch: [72][4380/10010] Time 0.335 (0.327) Data 0.000 (0.001) Loss 1.6777 (1.3717) Prec@1 59.375 (68.157) Prec@5 79.688 (86.684) Epoch: [72][4390/10010] Time 0.337 (0.327) Data 0.001 (0.001) Loss 1.1923 (1.3716) Prec@1 74.219 (68.161) Prec@5 92.969 (86.686) Epoch: [72][4400/10010] Time 0.319 (0.327) Data 0.001 (0.001) Loss 1.6581 (1.3718) Prec@1 61.719 (68.158) Prec@5 81.250 (86.681) Epoch: [72][4410/10010] Time 0.323 (0.327) Data 0.001 (0.001) Loss 1.5666 (1.3715) Prec@1 58.594 (68.162) Prec@5 88.281 (86.686) Epoch: [72][4420/10010] Time 0.332 (0.327) Data 0.000 (0.001) Loss 1.3475 (1.3717) Prec@1 71.875 (68.160) Prec@5 87.500 (86.682) Epoch: [72][4430/10010] Time 0.332 (0.327) Data 0.001 (0.001) Loss 1.3476 (1.3718) Prec@1 68.750 (68.159) Prec@5 87.500 (86.681) Epoch: [72][4440/10010] Time 0.329 (0.327) Data 0.000 (0.001) Loss 1.4561 (1.3719) Prec@1 68.750 (68.158) Prec@5 84.375 (86.681) Epoch: [72][4450/10010] Time 0.325 (0.327) Data 0.001 (0.001) Loss 1.3468 (1.3719) Prec@1 67.969 (68.156) Prec@5 86.719 (86.678) Epoch: [72][4460/10010] Time 0.333 (0.327) Data 0.000 (0.001) Loss 1.5466 (1.3718) Prec@1 62.500 (68.156) Prec@5 81.250 (86.679) Epoch: [72][4470/10010] Time 0.318 (0.327) Data 0.000 (0.001) Loss 1.4125 (1.3717) Prec@1 64.062 (68.158) Prec@5 87.500 (86.681) Epoch: [72][4480/10010] Time 0.341 (0.327) Data 0.000 (0.001) Loss 1.5452 (1.3719) Prec@1 61.719 (68.157) Prec@5 83.594 (86.679) Epoch: [72][4490/10010] Time 0.322 (0.327) Data 0.001 (0.001) Loss 1.6237 (1.3718) Prec@1 67.969 (68.157) Prec@5 82.031 (86.681) Epoch: [72][4500/10010] Time 0.319 (0.327) Data 0.000 (0.001) Loss 1.8799 (1.3720) Prec@1 60.156 (68.151) Prec@5 80.469 (86.678) Epoch: [72][4510/10010] Time 0.322 (0.327) Data 0.000 (0.001) Loss 1.5999 (1.3721) Prec@1 64.844 (68.149) Prec@5 81.250 (86.677) Epoch: [72][4520/10010] Time 0.336 (0.327) Data 0.001 (0.001) Loss 1.2533 (1.3722) Prec@1 68.750 (68.147) Prec@5 87.500 (86.675) Epoch: [72][4530/10010] Time 0.313 (0.327) Data 0.001 (0.001) Loss 1.4575 (1.3723) Prec@1 67.188 (68.145) Prec@5 84.375 (86.673) Epoch: [72][4540/10010] Time 0.336 (0.327) Data 0.000 (0.001) Loss 1.2970 (1.3723) Prec@1 68.750 (68.144) Prec@5 89.062 (86.671) Epoch: [72][4550/10010] Time 0.322 (0.327) Data 0.001 (0.001) Loss 1.1654 (1.3721) Prec@1 76.562 (68.149) Prec@5 90.625 (86.675) Epoch: [72][4560/10010] Time 0.340 (0.327) Data 0.001 (0.001) Loss 1.3966 (1.3720) Prec@1 67.188 (68.152) Prec@5 89.844 (86.679) Epoch: [72][4570/10010] Time 0.322 (0.327) Data 0.000 (0.001) Loss 1.2991 (1.3718) Prec@1 68.750 (68.156) Prec@5 87.500 (86.681) Epoch: [72][4580/10010] Time 0.319 (0.327) Data 0.001 (0.001) Loss 1.1883 (1.3718) Prec@1 74.219 (68.157) Prec@5 90.625 (86.682) Epoch: [72][4590/10010] Time 0.335 (0.327) Data 0.001 (0.001) Loss 1.6399 (1.3717) Prec@1 66.406 (68.161) Prec@5 85.156 (86.683) Epoch: [72][4600/10010] Time 0.334 (0.327) Data 0.001 (0.001) Loss 1.6886 (1.3719) Prec@1 66.406 (68.157) Prec@5 81.250 (86.679) Epoch: [72][4610/10010] Time 0.338 (0.327) Data 0.000 (0.001) Loss 1.1207 (1.3719) Prec@1 76.562 (68.156) Prec@5 91.406 (86.680) Epoch: [72][4620/10010] Time 0.314 (0.327) Data 0.001 (0.001) Loss 1.3568 (1.3720) Prec@1 67.969 (68.152) Prec@5 85.156 (86.675) Epoch: [72][4630/10010] Time 0.339 (0.327) Data 0.001 (0.001) Loss 1.4631 (1.3723) Prec@1 71.875 (68.150) Prec@5 84.375 (86.672) Epoch: [72][4640/10010] Time 0.317 (0.327) Data 0.001 (0.001) Loss 1.4311 (1.3723) Prec@1 67.188 (68.148) Prec@5 85.156 (86.669) Epoch: [72][4650/10010] Time 0.332 (0.327) Data 0.001 (0.001) Loss 1.4663 (1.3724) Prec@1 65.625 (68.147) Prec@5 84.375 (86.667) Epoch: [72][4660/10010] Time 0.343 (0.327) Data 0.001 (0.001) Loss 1.4576 (1.3726) Prec@1 67.188 (68.144) Prec@5 87.500 (86.663) Epoch: [72][4670/10010] Time 0.330 (0.327) Data 0.000 (0.001) Loss 1.5420 (1.3726) Prec@1 65.625 (68.147) Prec@5 82.031 (86.663) Epoch: [72][4680/10010] Time 0.333 (0.327) Data 0.001 (0.001) Loss 1.3232 (1.3726) Prec@1 70.312 (68.151) Prec@5 90.625 (86.664) Epoch: [72][4690/10010] Time 0.317 (0.327) Data 0.001 (0.001) Loss 1.5193 (1.3723) Prec@1 68.750 (68.155) Prec@5 85.156 (86.667) Epoch: [72][4700/10010] Time 0.314 (0.327) Data 0.001 (0.001) Loss 1.2988 (1.3724) Prec@1 71.094 (68.156) Prec@5 88.281 (86.666) Epoch: [72][4710/10010] Time 0.341 (0.327) Data 0.001 (0.001) Loss 1.6440 (1.3725) Prec@1 62.500 (68.151) Prec@5 83.594 (86.666) Epoch: [72][4720/10010] Time 0.337 (0.327) Data 0.000 (0.001) Loss 1.4893 (1.3725) Prec@1 65.625 (68.150) Prec@5 85.938 (86.666) Epoch: [72][4730/10010] Time 0.329 (0.327) Data 0.000 (0.001) Loss 1.2883 (1.3724) Prec@1 70.312 (68.153) Prec@5 85.938 (86.667) Epoch: [72][4740/10010] Time 0.324 (0.327) Data 0.000 (0.001) Loss 1.1640 (1.3721) Prec@1 71.875 (68.160) Prec@5 89.844 (86.671) Epoch: [72][4750/10010] Time 0.317 (0.327) Data 0.000 (0.001) Loss 1.1526 (1.3721) Prec@1 72.656 (68.160) Prec@5 89.844 (86.671) Epoch: [72][4760/10010] Time 0.321 (0.327) Data 0.000 (0.001) Loss 1.2659 (1.3721) Prec@1 66.406 (68.159) Prec@5 87.500 (86.671) Epoch: [72][4770/10010] Time 0.335 (0.327) Data 0.001 (0.001) Loss 1.4221 (1.3722) Prec@1 69.531 (68.158) Prec@5 85.156 (86.671) Epoch: [72][4780/10010] Time 0.330 (0.327) Data 0.000 (0.001) Loss 1.3566 (1.3722) Prec@1 71.094 (68.159) Prec@5 85.938 (86.669) Epoch: [72][4790/10010] Time 0.339 (0.327) Data 0.001 (0.001) Loss 1.1453 (1.3723) Prec@1 73.438 (68.163) Prec@5 91.406 (86.668) Epoch: [72][4800/10010] Time 0.326 (0.327) Data 0.000 (0.001) Loss 1.7955 (1.3726) Prec@1 53.906 (68.157) Prec@5 81.250 (86.664) Epoch: [72][4810/10010] Time 0.319 (0.327) Data 0.001 (0.001) Loss 1.6297 (1.3725) Prec@1 64.844 (68.158) Prec@5 83.594 (86.664) Epoch: [72][4820/10010] Time 0.326 (0.327) Data 0.001 (0.001) Loss 1.5682 (1.3724) Prec@1 64.844 (68.161) Prec@5 83.594 (86.666) Epoch: [72][4830/10010] Time 0.320 (0.327) Data 0.000 (0.001) Loss 1.3004 (1.3725) Prec@1 73.438 (68.161) Prec@5 85.156 (86.662) Epoch: [72][4840/10010] Time 0.334 (0.327) Data 0.000 (0.001) Loss 1.4658 (1.3725) Prec@1 67.969 (68.162) Prec@5 84.375 (86.661) Epoch: [72][4850/10010] Time 0.342 (0.327) Data 0.001 (0.001) Loss 1.7538 (1.3726) Prec@1 55.469 (68.155) Prec@5 82.812 (86.661) Epoch: [72][4860/10010] Time 0.314 (0.327) Data 0.001 (0.001) Loss 1.1640 (1.3726) Prec@1 69.531 (68.154) Prec@5 90.625 (86.663) Epoch: [72][4870/10010] Time 0.324 (0.327) Data 0.001 (0.001) Loss 1.5786 (1.3725) Prec@1 69.531 (68.159) Prec@5 84.375 (86.665) Epoch: [72][4880/10010] Time 0.333 (0.327) Data 0.001 (0.001) Loss 1.2597 (1.3723) Prec@1 71.094 (68.159) Prec@5 88.281 (86.669) Epoch: [72][4890/10010] Time 0.330 (0.327) Data 0.001 (0.001) Loss 1.3597 (1.3725) Prec@1 66.406 (68.156) Prec@5 89.844 (86.667) Epoch: [72][4900/10010] Time 0.323 (0.327) Data 0.000 (0.001) Loss 1.1498 (1.3725) Prec@1 66.406 (68.154) Prec@5 91.406 (86.667) Epoch: [72][4910/10010] Time 0.341 (0.327) Data 0.000 (0.001) Loss 1.3697 (1.3727) Prec@1 70.312 (68.152) Prec@5 85.156 (86.665) Epoch: [72][4920/10010] Time 0.322 (0.327) Data 0.001 (0.001) Loss 1.2395 (1.3728) Prec@1 67.969 (68.151) Prec@5 88.281 (86.664) Epoch: [72][4930/10010] Time 0.329 (0.327) Data 0.000 (0.001) Loss 1.2835 (1.3728) Prec@1 66.406 (68.148) Prec@5 85.156 (86.663) Epoch: [72][4940/10010] Time 0.331 (0.327) Data 0.001 (0.001) Loss 1.3089 (1.3729) Prec@1 74.219 (68.145) Prec@5 85.938 (86.660) Epoch: [72][4950/10010] Time 0.320 (0.327) Data 0.001 (0.001) Loss 1.5733 (1.3729) Prec@1 61.719 (68.144) Prec@5 80.469 (86.659) Epoch: [72][4960/10010] Time 0.317 (0.327) Data 0.001 (0.001) Loss 1.3658 (1.3729) Prec@1 69.531 (68.143) Prec@5 82.812 (86.656) Epoch: [72][4970/10010] Time 0.317 (0.327) Data 0.001 (0.001) Loss 1.4546 (1.3730) Prec@1 67.969 (68.143) Prec@5 82.031 (86.653) Epoch: [72][4980/10010] Time 0.341 (0.327) Data 0.001 (0.001) Loss 1.2451 (1.3730) Prec@1 70.312 (68.141) Prec@5 89.844 (86.653) /data/vision/torralba/deepscene/lib/anaconda2/lib/python2.7/site-packages/PIL/TiffImagePlugin.py:692: UserWarning: Possibly corrupt EXIF data. Expecting to read 2555904 bytes but only got 0. Skipping tag 0 "Skipping tag %s" % (size, len(data), tag)) Epoch: [72][4990/10010] Time 0.320 (0.327) Data 0.000 (0.001) Loss 1.3657 (1.3731) Prec@1 63.281 (68.140) Prec@5 89.062 (86.652) Epoch: [72][5000/10010] Time 0.319 (0.327) Data 0.000 (0.001) Loss 1.5970 (1.3732) Prec@1 60.938 (68.140) Prec@5 85.156 (86.651) Epoch: [72][5010/10010] Time 0.338 (0.327) Data 0.001 (0.001) Loss 1.2863 (1.3732) Prec@1 70.312 (68.138) Prec@5 86.719 (86.650) Epoch: [72][5020/10010] Time 0.314 (0.327) Data 0.000 (0.001) Loss 1.2381 (1.3731) Prec@1 68.750 (68.141) Prec@5 90.625 (86.652) Epoch: [72][5030/10010] Time 0.319 (0.327) Data 0.000 (0.001) Loss 1.4885 (1.3730) Prec@1 67.188 (68.139) Prec@5 84.375 (86.654) Epoch: [72][5040/10010] Time 0.318 (0.327) Data 0.000 (0.001) Loss 1.3626 (1.3730) Prec@1 64.062 (68.141) Prec@5 84.375 (86.655) Epoch: [72][5050/10010] Time 0.328 (0.327) Data 0.001 (0.001) Loss 1.5740 (1.3730) Prec@1 64.844 (68.142) Prec@5 84.375 (86.656) Epoch: [72][5060/10010] Time 0.326 (0.327) Data 0.000 (0.001) Loss 1.3424 (1.3731) Prec@1 65.625 (68.140) Prec@5 86.719 (86.654) Epoch: [72][5070/10010] Time 0.338 (0.327) Data 0.000 (0.001) Loss 1.6342 (1.3732) Prec@1 63.281 (68.137) Prec@5 82.812 (86.653) Epoch: [72][5080/10010] Time 0.326 (0.327) Data 0.000 (0.001) Loss 1.2422 (1.3732) Prec@1 68.750 (68.138) Prec@5 89.062 (86.651) Epoch: [72][5090/10010] Time 0.317 (0.327) Data 0.001 (0.001) Loss 1.6682 (1.3733) Prec@1 57.031 (68.134) Prec@5 82.031 (86.649) Epoch: [72][5100/10010] Time 0.320 (0.327) Data 0.000 (0.001) Loss 1.4529 (1.3733) Prec@1 65.625 (68.134) Prec@5 84.375 (86.649) Epoch: [72][5110/10010] Time 0.317 (0.327) Data 0.000 (0.001) Loss 1.0234 (1.3732) Prec@1 75.781 (68.137) Prec@5 93.750 (86.653) Epoch: [72][5120/10010] Time 0.322 (0.327) Data 0.001 (0.001) Loss 1.3918 (1.3731) Prec@1 70.312 (68.138) Prec@5 88.281 (86.655) Epoch: [72][5130/10010] Time 0.331 (0.327) Data 0.001 (0.001) Loss 1.4953 (1.3733) Prec@1 64.844 (68.133) Prec@5 84.375 (86.651) Epoch: [72][5140/10010] Time 0.316 (0.327) Data 0.001 (0.001) Loss 1.2582 (1.3734) Prec@1 67.969 (68.128) Prec@5 89.062 (86.652) Epoch: [72][5150/10010] Time 0.339 (0.327) Data 0.000 (0.001) Loss 1.9091 (1.3736) Prec@1 57.031 (68.124) Prec@5 81.250 (86.652) Epoch: [72][5160/10010] Time 0.326 (0.327) Data 0.001 (0.001) Loss 0.8904 (1.3736) Prec@1 75.781 (68.124) Prec@5 94.531 (86.651) Epoch: [72][5170/10010] Time 0.337 (0.327) Data 0.001 (0.001) Loss 1.1464 (1.3736) Prec@1 75.000 (68.125) Prec@5 85.156 (86.650) Epoch: [72][5180/10010] Time 0.321 (0.327) Data 0.001 (0.001) Loss 1.4370 (1.3737) Prec@1 63.281 (68.120) Prec@5 85.156 (86.649) Epoch: [72][5190/10010] Time 0.318 (0.327) Data 0.000 (0.001) Loss 1.4483 (1.3738) Prec@1 67.969 (68.120) Prec@5 85.938 (86.648) Epoch: [72][5200/10010] Time 0.325 (0.327) Data 0.001 (0.001) Loss 1.1366 (1.3737) Prec@1 80.469 (68.123) Prec@5 90.625 (86.651) Epoch: [72][5210/10010] Time 0.332 (0.327) Data 0.001 (0.001) Loss 1.4495 (1.3737) Prec@1 68.750 (68.122) Prec@5 84.375 (86.650) Epoch: [72][5220/10010] Time 0.316 (0.327) Data 0.001 (0.001) Loss 1.3057 (1.3737) Prec@1 69.531 (68.120) Prec@5 88.281 (86.649) Epoch: [72][5230/10010] Time 0.312 (0.327) Data 0.001 (0.001) Loss 1.7029 (1.3740) Prec@1 63.281 (68.113) Prec@5 81.250 (86.648) Epoch: [72][5240/10010] Time 0.340 (0.327) Data 0.001 (0.001) Loss 1.3448 (1.3740) Prec@1 71.094 (68.111) Prec@5 89.062 (86.647) Epoch: [72][5250/10010] Time 0.325 (0.327) Data 0.001 (0.001) Loss 1.3316 (1.3740) Prec@1 66.406 (68.110) Prec@5 85.938 (86.648) Epoch: [72][5260/10010] Time 0.335 (0.327) Data 0.000 (0.001) Loss 1.2170 (1.3739) Prec@1 67.969 (68.112) Prec@5 89.062 (86.650) Epoch: [72][5270/10010] Time 0.331 (0.327) Data 0.001 (0.001) Loss 1.6740 (1.3739) Prec@1 63.281 (68.109) Prec@5 80.469 (86.650) Epoch: [72][5280/10010] Time 0.337 (0.327) Data 0.001 (0.001) Loss 1.1054 (1.3739) Prec@1 72.656 (68.107) Prec@5 91.406 (86.652) Epoch: [72][5290/10010] Time 0.332 (0.327) Data 0.001 (0.001) Loss 1.4191 (1.3741) Prec@1 69.531 (68.104) Prec@5 83.594 (86.648) Epoch: [72][5300/10010] Time 0.334 (0.327) Data 0.000 (0.001) Loss 1.3854 (1.3741) Prec@1 67.969 (68.102) Prec@5 88.281 (86.647) Epoch: [72][5310/10010] Time 0.316 (0.327) Data 0.001 (0.001) Loss 1.4471 (1.3742) Prec@1 68.750 (68.099) Prec@5 83.594 (86.645) Epoch: [72][5320/10010] Time 0.334 (0.327) Data 0.001 (0.001) Loss 1.4012 (1.3743) Prec@1 60.938 (68.098) Prec@5 86.719 (86.642) Epoch: [72][5330/10010] Time 0.326 (0.327) Data 0.000 (0.001) Loss 1.5436 (1.3745) Prec@1 67.188 (68.096) Prec@5 86.719 (86.640) Epoch: [72][5340/10010] Time 0.330 (0.327) Data 0.001 (0.001) Loss 1.2716 (1.3745) Prec@1 71.094 (68.097) Prec@5 87.500 (86.642) Epoch: [72][5350/10010] Time 0.324 (0.327) Data 0.000 (0.001) Loss 1.3948 (1.3743) Prec@1 70.312 (68.100) Prec@5 86.719 (86.643) Epoch: [72][5360/10010] Time 0.323 (0.327) Data 0.000 (0.001) Loss 1.2206 (1.3742) Prec@1 64.062 (68.100) Prec@5 89.062 (86.645) Epoch: [72][5370/10010] Time 0.313 (0.327) Data 0.001 (0.001) Loss 1.3317 (1.3743) Prec@1 70.312 (68.101) Prec@5 86.719 (86.645) Epoch: [72][5380/10010] Time 0.335 (0.327) Data 0.000 (0.001) Loss 1.2381 (1.3743) Prec@1 70.312 (68.102) Prec@5 86.719 (86.644) Epoch: [72][5390/10010] Time 0.331 (0.327) Data 0.000 (0.001) Loss 1.4878 (1.3743) Prec@1 64.062 (68.102) Prec@5 85.156 (86.644) Epoch: [72][5400/10010] Time 0.341 (0.327) Data 0.000 (0.001) Loss 1.3146 (1.3743) Prec@1 69.531 (68.101) Prec@5 86.719 (86.644) Epoch: [72][5410/10010] Time 0.310 (0.327) Data 0.001 (0.001) Loss 1.2940 (1.3743) Prec@1 69.531 (68.099) Prec@5 89.844 (86.642) Epoch: [72][5420/10010] Time 0.338 (0.327) Data 0.001 (0.001) Loss 1.4341 (1.3743) Prec@1 67.969 (68.101) Prec@5 85.938 (86.642) Epoch: [72][5430/10010] Time 0.332 (0.327) Data 0.001 (0.001) Loss 1.0932 (1.3741) Prec@1 72.656 (68.104) Prec@5 89.062 (86.645) Epoch: [72][5440/10010] Time 0.313 (0.327) Data 0.000 (0.001) Loss 1.3460 (1.3741) Prec@1 69.531 (68.105) Prec@5 88.281 (86.645) Epoch: [72][5450/10010] Time 0.330 (0.327) Data 0.000 (0.001) Loss 1.5659 (1.3740) Prec@1 65.625 (68.109) Prec@5 83.594 (86.647) Epoch: [72][5460/10010] Time 0.326 (0.327) Data 0.001 (0.001) Loss 1.6372 (1.3741) Prec@1 60.938 (68.105) Prec@5 82.812 (86.646) Epoch: [72][5470/10010] Time 0.321 (0.327) Data 0.000 (0.001) Loss 1.2337 (1.3740) Prec@1 73.438 (68.106) Prec@5 90.625 (86.648) Epoch: [72][5480/10010] Time 0.334 (0.327) Data 0.001 (0.001) Loss 1.3187 (1.3741) Prec@1 69.531 (68.106) Prec@5 85.938 (86.647) Epoch: [72][5490/10010] Time 0.337 (0.327) Data 0.001 (0.001) Loss 1.3438 (1.3740) Prec@1 67.188 (68.106) Prec@5 89.844 (86.650) Epoch: [72][5500/10010] Time 0.320 (0.327) Data 0.000 (0.001) Loss 1.4949 (1.3742) Prec@1 61.719 (68.102) Prec@5 85.938 (86.648) Epoch: [72][5510/10010] Time 0.332 (0.327) Data 0.000 (0.001) Loss 1.4090 (1.3743) Prec@1 64.062 (68.101) Prec@5 89.844 (86.646) Epoch: [72][5520/10010] Time 0.321 (0.327) Data 0.001 (0.001) Loss 1.1753 (1.3744) Prec@1 71.094 (68.099) Prec@5 89.844 (86.643) Epoch: [72][5530/10010] Time 0.336 (0.327) Data 0.001 (0.001) Loss 1.2772 (1.3742) Prec@1 67.188 (68.102) Prec@5 91.406 (86.647) Epoch: [72][5540/10010] Time 0.320 (0.327) Data 0.001 (0.001) Loss 1.1923 (1.3742) Prec@1 75.000 (68.103) Prec@5 90.625 (86.647) Epoch: [72][5550/10010] Time 0.324 (0.327) Data 0.000 (0.001) Loss 1.3257 (1.3741) Prec@1 67.969 (68.104) Prec@5 88.281 (86.648) Epoch: [72][5560/10010] Time 0.331 (0.327) Data 0.001 (0.001) Loss 1.4632 (1.3743) Prec@1 67.188 (68.102) Prec@5 83.594 (86.647) Epoch: [72][5570/10010] Time 0.336 (0.327) Data 0.000 (0.001) Loss 1.7178 (1.3744) Prec@1 64.062 (68.101) Prec@5 78.906 (86.645) Epoch: [72][5580/10010] Time 0.318 (0.327) Data 0.000 (0.001) Loss 1.0821 (1.3744) Prec@1 75.000 (68.101) Prec@5 89.062 (86.645) Epoch: [72][5590/10010] Time 0.318 (0.327) Data 0.001 (0.001) Loss 1.3378 (1.3744) Prec@1 71.094 (68.101) Prec@5 90.625 (86.646) Epoch: [72][5600/10010] Time 0.321 (0.327) Data 0.001 (0.001) Loss 1.3392 (1.3744) Prec@1 64.844 (68.103) Prec@5 87.500 (86.646) Epoch: [72][5610/10010] Time 0.320 (0.327) Data 0.001 (0.001) Loss 1.4172 (1.3744) Prec@1 61.719 (68.100) Prec@5 86.719 (86.646) Epoch: [72][5620/10010] Time 0.314 (0.327) Data 0.001 (0.001) Loss 1.3349 (1.3743) Prec@1 70.312 (68.101) Prec@5 85.938 (86.648) Epoch: [72][5630/10010] Time 0.319 (0.327) Data 0.001 (0.001) Loss 1.2693 (1.3743) Prec@1 67.188 (68.101) Prec@5 89.062 (86.646) Epoch: [72][5640/10010] Time 0.317 (0.327) Data 0.000 (0.001) Loss 1.7134 (1.3744) Prec@1 60.156 (68.097) Prec@5 81.250 (86.644) Epoch: [72][5650/10010] Time 0.335 (0.327) Data 0.001 (0.001) Loss 1.5602 (1.3745) Prec@1 60.156 (68.095) Prec@5 82.812 (86.643) Epoch: [72][5660/10010] Time 0.311 (0.327) Data 0.001 (0.001) Loss 1.2159 (1.3744) Prec@1 76.562 (68.097) Prec@5 89.844 (86.643) Epoch: [72][5670/10010] Time 0.313 (0.327) Data 0.001 (0.001) Loss 1.4944 (1.3746) Prec@1 64.844 (68.094) Prec@5 82.031 (86.640) Epoch: [72][5680/10010] Time 0.324 (0.327) Data 0.001 (0.001) Loss 1.3293 (1.3746) Prec@1 67.188 (68.092) Prec@5 86.719 (86.640) Epoch: [72][5690/10010] Time 0.321 (0.327) Data 0.001 (0.001) Loss 1.4409 (1.3746) Prec@1 64.062 (68.094) Prec@5 87.500 (86.641) Epoch: [72][5700/10010] Time 0.316 (0.327) Data 0.001 (0.001) Loss 1.4451 (1.3746) Prec@1 69.531 (68.095) Prec@5 87.500 (86.641) Epoch: [72][5710/10010] Time 0.320 (0.327) Data 0.001 (0.001) Loss 1.3689 (1.3747) Prec@1 71.875 (68.095) Prec@5 86.719 (86.641) /data/vision/torralba/deepscene/lib/anaconda2/lib/python2.7/site-packages/PIL/TiffImagePlugin.py:692: UserWarning: Possibly corrupt EXIF data. Expecting to read 1835008 bytes but only got 0. Skipping tag 0 "Skipping tag %s" % (size, len(data), tag)) Epoch: [72][5720/10010] Time 0.338 (0.327) Data 0.000 (0.001) Loss 1.2633 (1.3746) Prec@1 68.750 (68.095) Prec@5 88.281 (86.641) Epoch: [72][5730/10010] Time 0.329 (0.327) Data 0.001 (0.001) Loss 1.4401 (1.3748) Prec@1 69.531 (68.093) Prec@5 85.156 (86.637) Epoch: [72][5740/10010] Time 0.320 (0.327) Data 0.001 (0.001) Loss 1.3075 (1.3749) Prec@1 75.781 (68.097) Prec@5 87.500 (86.637) Epoch: [72][5750/10010] Time 0.323 (0.327) Data 0.000 (0.001) Loss 1.6184 (1.3750) Prec@1 60.938 (68.094) Prec@5 82.812 (86.637) Epoch: [72][5760/10010] Time 0.332 (0.327) Data 0.000 (0.001) Loss 1.6651 (1.3750) Prec@1 64.062 (68.095) Prec@5 85.156 (86.638) Epoch: [72][5770/10010] Time 0.324 (0.327) Data 0.000 (0.001) Loss 1.5489 (1.3752) Prec@1 63.281 (68.091) Prec@5 86.719 (86.637) Epoch: [72][5780/10010] Time 0.320 (0.327) Data 0.001 (0.001) Loss 1.4261 (1.3753) Prec@1 66.406 (68.089) Prec@5 85.938 (86.635) Epoch: [72][5790/10010] Time 0.314 (0.327) Data 0.000 (0.001) Loss 1.5949 (1.3752) Prec@1 65.625 (68.088) Prec@5 80.469 (86.633) Epoch: [72][5800/10010] Time 0.316 (0.327) Data 0.001 (0.001) Loss 1.2580 (1.3752) Prec@1 67.188 (68.088) Prec@5 89.844 (86.635) Epoch: [72][5810/10010] Time 0.318 (0.327) Data 0.001 (0.001) Loss 1.3243 (1.3751) Prec@1 70.312 (68.089) Prec@5 89.062 (86.638) Epoch: [72][5820/10010] Time 0.319 (0.327) Data 0.001 (0.001) Loss 1.1105 (1.3750) Prec@1 75.000 (68.092) Prec@5 91.406 (86.638) Epoch: [72][5830/10010] Time 0.336 (0.327) Data 0.001 (0.001) Loss 1.4321 (1.3751) Prec@1 67.188 (68.089) Prec@5 85.938 (86.637) Epoch: [72][5840/10010] Time 0.323 (0.327) Data 0.000 (0.001) Loss 1.3836 (1.3750) Prec@1 67.188 (68.090) Prec@5 85.156 (86.638) Epoch: [72][5850/10010] Time 0.318 (0.327) Data 0.001 (0.001) Loss 1.3612 (1.3750) Prec@1 67.188 (68.092) Prec@5 87.500 (86.638) Epoch: [72][5860/10010] Time 0.336 (0.327) Data 0.001 (0.001) Loss 1.6071 (1.3751) Prec@1 65.625 (68.091) Prec@5 82.812 (86.638) Epoch: [72][5870/10010] Time 0.336 (0.327) Data 0.000 (0.001) Loss 1.5003 (1.3752) Prec@1 65.625 (68.087) Prec@5 82.812 (86.637) Epoch: [72][5880/10010] Time 0.327 (0.327) Data 0.001 (0.001) Loss 1.3984 (1.3751) Prec@1 67.969 (68.089) Prec@5 84.375 (86.638) Epoch: [72][5890/10010] Time 0.320 (0.327) Data 0.000 (0.001) Loss 1.2843 (1.3750) Prec@1 67.188 (68.090) Prec@5 90.625 (86.640) Epoch: [72][5900/10010] Time 0.311 (0.327) Data 0.001 (0.001) Loss 1.2068 (1.3749) Prec@1 73.438 (68.091) Prec@5 87.500 (86.641) Epoch: [72][5910/10010] Time 0.339 (0.327) Data 0.001 (0.001) Loss 1.6737 (1.3750) Prec@1 61.719 (68.090) Prec@5 80.469 (86.640) Epoch: [72][5920/10010] Time 0.318 (0.327) Data 0.001 (0.001) Loss 1.4409 (1.3750) Prec@1 63.281 (68.087) Prec@5 87.500 (86.639) Epoch: [72][5930/10010] Time 0.336 (0.327) Data 0.001 (0.001) Loss 1.1208 (1.3749) Prec@1 71.875 (68.088) Prec@5 89.062 (86.640) Epoch: [72][5940/10010] Time 0.309 (0.327) Data 0.001 (0.001) Loss 1.5345 (1.3749) Prec@1 64.844 (68.089) Prec@5 85.938 (86.639) Epoch: [72][5950/10010] Time 0.336 (0.327) Data 0.001 (0.001) Loss 1.8337 (1.3750) Prec@1 57.812 (68.087) Prec@5 80.469 (86.637) Epoch: [72][5960/10010] Time 0.340 (0.327) Data 0.000 (0.001) Loss 1.3922 (1.3747) Prec@1 69.531 (68.092) Prec@5 85.156 (86.639) Epoch: [72][5970/10010] Time 0.337 (0.327) Data 0.001 (0.001) Loss 1.2000 (1.3748) Prec@1 68.750 (68.091) Prec@5 85.938 (86.637) Epoch: [72][5980/10010] Time 0.340 (0.327) Data 0.000 (0.001) Loss 1.5228 (1.3747) Prec@1 73.438 (68.096) Prec@5 82.812 (86.637) Epoch: [72][5990/10010] Time 0.314 (0.327) Data 0.001 (0.001) Loss 1.4171 (1.3747) Prec@1 64.062 (68.093) Prec@5 87.500 (86.638) Epoch: [72][6000/10010] Time 0.319 (0.327) Data 0.000 (0.001) Loss 1.3436 (1.3747) Prec@1 71.875 (68.095) Prec@5 85.156 (86.639) Epoch: [72][6010/10010] Time 0.324 (0.327) Data 0.001 (0.001) Loss 1.2645 (1.3747) Prec@1 71.094 (68.097) Prec@5 89.844 (86.639) Epoch: [72][6020/10010] Time 0.332 (0.327) Data 0.001 (0.001) Loss 1.6069 (1.3749) Prec@1 68.750 (68.096) Prec@5 82.031 (86.636) Epoch: [72][6030/10010] Time 0.327 (0.327) Data 0.001 (0.001) Loss 1.0432 (1.3748) Prec@1 73.438 (68.095) Prec@5 89.062 (86.638) /data/vision/torralba/deepscene/lib/anaconda2/lib/python2.7/site-packages/PIL/TiffImagePlugin.py:692: UserWarning: Possibly corrupt EXIF data. Expecting to read 2555904 bytes but only got 0. Skipping tag 0 "Skipping tag %s" % (size, len(data), tag)) Epoch: [72][6040/10010] Time 0.318 (0.327) Data 0.000 (0.001) Loss 1.4244 (1.3749) Prec@1 71.094 (68.095) Prec@5 82.812 (86.637) Epoch: [72][6050/10010] Time 0.336 (0.327) Data 0.001 (0.001) Loss 1.2453 (1.3748) Prec@1 71.875 (68.095) Prec@5 89.844 (86.638) Epoch: [72][6060/10010] Time 0.321 (0.327) Data 0.000 (0.001) Loss 1.4617 (1.3748) Prec@1 65.625 (68.095) Prec@5 85.156 (86.639) Epoch: [72][6070/10010] Time 0.336 (0.327) Data 0.000 (0.001) Loss 1.5992 (1.3749) Prec@1 63.281 (68.093) Prec@5 82.812 (86.637) Epoch: [72][6080/10010] Time 0.340 (0.327) Data 0.000 (0.001) Loss 1.0409 (1.3749) Prec@1 70.312 (68.091) Prec@5 91.406 (86.637) Epoch: [72][6090/10010] Time 0.334 (0.327) Data 0.000 (0.001) Loss 1.2665 (1.3748) Prec@1 69.531 (68.093) Prec@5 87.500 (86.638) Epoch: [72][6100/10010] Time 0.316 (0.327) Data 0.001 (0.001) Loss 1.1759 (1.3748) Prec@1 71.094 (68.093) Prec@5 90.625 (86.639) Epoch: [72][6110/10010] Time 0.338 (0.327) Data 0.000 (0.001) Loss 1.5440 (1.3750) Prec@1 66.406 (68.091) Prec@5 84.375 (86.637) Epoch: [72][6120/10010] Time 0.320 (0.327) Data 0.000 (0.001) Loss 1.3064 (1.3750) Prec@1 69.531 (68.091) Prec@5 89.062 (86.637) Epoch: [72][6130/10010] Time 0.320 (0.327) Data 0.001 (0.001) Loss 1.3233 (1.3750) Prec@1 67.188 (68.089) Prec@5 87.500 (86.637) Epoch: [72][6140/10010] Time 0.338 (0.327) Data 0.001 (0.001) Loss 1.1057 (1.3748) Prec@1 75.000 (68.090) Prec@5 91.406 (86.641) Epoch: [72][6150/10010] Time 0.340 (0.327) Data 0.000 (0.001) Loss 1.5197 (1.3749) Prec@1 60.156 (68.088) Prec@5 83.594 (86.640) Epoch: [72][6160/10010] Time 0.317 (0.327) Data 0.000 (0.001) Loss 1.2416 (1.3749) Prec@1 69.531 (68.088) Prec@5 91.406 (86.640) Epoch: [72][6170/10010] Time 0.313 (0.327) Data 0.000 (0.001) Loss 1.4103 (1.3750) Prec@1 65.625 (68.086) Prec@5 82.812 (86.638) Epoch: [72][6180/10010] Time 0.333 (0.327) Data 0.001 (0.001) Loss 1.3687 (1.3751) Prec@1 63.281 (68.085) Prec@5 88.281 (86.639) Epoch: [72][6190/10010] Time 0.321 (0.327) Data 0.000 (0.001) Loss 1.0728 (1.3749) Prec@1 75.000 (68.089) Prec@5 89.844 (86.640) Epoch: [72][6200/10010] Time 0.315 (0.327) Data 0.000 (0.001) Loss 1.4509 (1.3751) Prec@1 68.750 (68.088) Prec@5 85.156 (86.638) Epoch: [72][6210/10010] Time 0.323 (0.327) Data 0.001 (0.001) Loss 1.4888 (1.3751) Prec@1 64.062 (68.087) Prec@5 82.812 (86.636) Epoch: [72][6220/10010] Time 0.334 (0.327) Data 0.001 (0.001) Loss 1.2841 (1.3750) Prec@1 71.094 (68.093) Prec@5 88.281 (86.639) Epoch: [72][6230/10010] Time 0.309 (0.327) Data 0.000 (0.001) Loss 0.9814 (1.3749) Prec@1 70.312 (68.094) Prec@5 93.750 (86.640) Epoch: [72][6240/10010] Time 0.319 (0.327) Data 0.000 (0.001) Loss 1.5229 (1.3749) Prec@1 65.625 (68.094) Prec@5 82.812 (86.640) Epoch: [72][6250/10010] Time 0.331 (0.327) Data 0.001 (0.001) Loss 1.5403 (1.3749) Prec@1 64.844 (68.095) Prec@5 84.375 (86.641) Epoch: [72][6260/10010] Time 0.317 (0.327) Data 0.001 (0.001) Loss 1.3498 (1.3749) Prec@1 70.312 (68.099) Prec@5 89.062 (86.641) Epoch: [72][6270/10010] Time 0.336 (0.327) Data 0.001 (0.001) Loss 1.3717 (1.3748) Prec@1 67.969 (68.100) Prec@5 85.938 (86.643) Epoch: [72][6280/10010] Time 0.317 (0.327) Data 0.000 (0.001) Loss 1.5228 (1.3750) Prec@1 62.500 (68.094) Prec@5 84.375 (86.640) Epoch: [72][6290/10010] Time 0.330 (0.327) Data 0.001 (0.001) Loss 1.2715 (1.3749) Prec@1 71.094 (68.095) Prec@5 85.938 (86.642) Epoch: [72][6300/10010] Time 0.334 (0.327) Data 0.000 (0.001) Loss 1.5259 (1.3749) Prec@1 61.719 (68.093) Prec@5 87.500 (86.642) Epoch: [72][6310/10010] Time 0.323 (0.327) Data 0.001 (0.001) Loss 1.7111 (1.3751) Prec@1 61.719 (68.092) Prec@5 81.250 (86.640) Epoch: [72][6320/10010] Time 0.319 (0.327) Data 0.001 (0.001) Loss 1.3112 (1.3750) Prec@1 71.094 (68.093) Prec@5 85.938 (86.640) Epoch: [72][6330/10010] Time 0.323 (0.327) Data 0.001 (0.001) Loss 1.1843 (1.3750) Prec@1 71.875 (68.092) Prec@5 88.281 (86.640) Epoch: [72][6340/10010] Time 0.311 (0.327) Data 0.000 (0.001) Loss 1.4757 (1.3749) Prec@1 69.531 (68.095) Prec@5 88.281 (86.641) Epoch: [72][6350/10010] Time 0.315 (0.327) Data 0.001 (0.001) Loss 1.3890 (1.3750) Prec@1 67.188 (68.092) Prec@5 85.156 (86.638) Epoch: [72][6360/10010] Time 0.340 (0.327) Data 0.000 (0.001) Loss 1.0384 (1.3749) Prec@1 78.125 (68.097) Prec@5 91.406 (86.639) Epoch: [72][6370/10010] Time 0.329 (0.327) Data 0.001 (0.001) Loss 1.3727 (1.3748) Prec@1 68.750 (68.097) Prec@5 85.938 (86.641) Epoch: [72][6380/10010] Time 0.318 (0.327) Data 0.001 (0.001) Loss 1.3481 (1.3747) Prec@1 70.312 (68.100) Prec@5 84.375 (86.641) Epoch: [72][6390/10010] Time 0.327 (0.327) Data 0.000 (0.001) Loss 1.4087 (1.3746) Prec@1 72.656 (68.103) Prec@5 85.156 (86.644) Epoch: [72][6400/10010] Time 0.316 (0.327) Data 0.001 (0.001) Loss 1.3250 (1.3747) Prec@1 70.312 (68.102) Prec@5 85.938 (86.643) Epoch: [72][6410/10010] Time 0.337 (0.327) Data 0.001 (0.001) Loss 1.5720 (1.3747) Prec@1 67.188 (68.102) Prec@5 89.062 (86.644) Epoch: [72][6420/10010] Time 0.336 (0.327) Data 0.001 (0.001) Loss 1.6182 (1.3748) Prec@1 64.844 (68.098) Prec@5 82.812 (86.643) Epoch: [72][6430/10010] Time 0.337 (0.327) Data 0.001 (0.001) Loss 1.6447 (1.3749) Prec@1 69.531 (68.095) Prec@5 80.469 (86.641) Epoch: [72][6440/10010] Time 0.325 (0.327) Data 0.000 (0.001) Loss 1.2677 (1.3750) Prec@1 71.094 (68.097) Prec@5 86.719 (86.642) Epoch: [72][6450/10010] Time 0.322 (0.327) Data 0.001 (0.001) Loss 1.5218 (1.3749) Prec@1 66.406 (68.099) Prec@5 82.812 (86.643) Epoch: [72][6460/10010] Time 0.316 (0.327) Data 0.000 (0.001) Loss 1.3594 (1.3749) Prec@1 68.750 (68.101) Prec@5 89.062 (86.643) Epoch: [72][6470/10010] Time 0.329 (0.327) Data 0.001 (0.001) Loss 1.5981 (1.3749) Prec@1 64.844 (68.101) Prec@5 82.031 (86.643) Epoch: [72][6480/10010] Time 0.321 (0.327) Data 0.001 (0.001) Loss 1.4754 (1.3749) Prec@1 68.750 (68.100) Prec@5 83.594 (86.643) Epoch: [72][6490/10010] Time 0.341 (0.327) Data 0.000 (0.001) Loss 1.1647 (1.3749) Prec@1 68.750 (68.099) Prec@5 89.844 (86.644) Epoch: [72][6500/10010] Time 0.318 (0.327) Data 0.001 (0.001) Loss 1.2596 (1.3748) Prec@1 70.312 (68.101) Prec@5 91.406 (86.647) Epoch: [72][6510/10010] Time 0.321 (0.327) Data 0.000 (0.001) Loss 1.4276 (1.3746) Prec@1 73.438 (68.105) Prec@5 85.156 (86.650) Epoch: [72][6520/10010] Time 0.331 (0.327) Data 0.000 (0.001) Loss 1.6368 (1.3746) Prec@1 64.062 (68.106) Prec@5 81.250 (86.650) Epoch: [72][6530/10010] Time 0.319 (0.327) Data 0.001 (0.001) Loss 1.4238 (1.3746) Prec@1 64.062 (68.105) Prec@5 87.500 (86.651) Epoch: [72][6540/10010] Time 0.327 (0.327) Data 0.000 (0.001) Loss 1.3821 (1.3746) Prec@1 67.188 (68.107) Prec@5 86.719 (86.652) Epoch: [72][6550/10010] Time 0.323 (0.327) Data 0.000 (0.001) Loss 1.3956 (1.3747) Prec@1 61.719 (68.105) Prec@5 88.281 (86.651) Epoch: [72][6560/10010] Time 0.340 (0.327) Data 0.000 (0.001) Loss 1.2940 (1.3748) Prec@1 64.062 (68.104) Prec@5 90.625 (86.651) Epoch: [72][6570/10010] Time 0.340 (0.327) Data 0.001 (0.001) Loss 1.6064 (1.3748) Prec@1 58.594 (68.102) Prec@5 80.469 (86.649) Epoch: [72][6580/10010] Time 0.333 (0.327) Data 0.000 (0.001) Loss 1.3459 (1.3748) Prec@1 65.625 (68.100) Prec@5 90.625 (86.649) Epoch: [72][6590/10010] Time 0.337 (0.327) Data 0.000 (0.001) Loss 1.3368 (1.3748) Prec@1 67.969 (68.102) Prec@5 91.406 (86.649) Epoch: [72][6600/10010] Time 0.323 (0.327) Data 0.001 (0.001) Loss 1.6283 (1.3749) Prec@1 64.844 (68.099) Prec@5 83.594 (86.645) Epoch: [72][6610/10010] Time 0.341 (0.327) Data 0.000 (0.001) Loss 1.2368 (1.3747) Prec@1 67.188 (68.101) Prec@5 89.844 (86.650) Epoch: [72][6620/10010] Time 0.314 (0.327) Data 0.001 (0.001) Loss 1.4171 (1.3748) Prec@1 70.312 (68.098) Prec@5 85.156 (86.647) Epoch: [72][6630/10010] Time 0.313 (0.327) Data 0.001 (0.001) Loss 1.1116 (1.3748) Prec@1 73.438 (68.098) Prec@5 94.531 (86.649) Epoch: [72][6640/10010] Time 0.334 (0.327) Data 0.001 (0.001) Loss 1.3884 (1.3747) Prec@1 60.156 (68.099) Prec@5 90.625 (86.651) Epoch: [72][6650/10010] Time 0.336 (0.327) Data 0.001 (0.001) Loss 1.1143 (1.3746) Prec@1 71.875 (68.102) Prec@5 89.844 (86.653) Epoch: [72][6660/10010] Time 0.331 (0.327) Data 0.000 (0.001) Loss 1.4748 (1.3745) Prec@1 72.656 (68.101) Prec@5 85.156 (86.654) Epoch: [72][6670/10010] Time 0.328 (0.327) Data 0.001 (0.001) Loss 1.3787 (1.3746) Prec@1 68.750 (68.103) Prec@5 85.156 (86.652) Epoch: [72][6680/10010] Time 0.327 (0.327) Data 0.001 (0.001) Loss 1.5150 (1.3746) Prec@1 63.281 (68.101) Prec@5 82.812 (86.651) Epoch: [72][6690/10010] Time 0.330 (0.327) Data 0.001 (0.001) Loss 1.4019 (1.3746) Prec@1 67.188 (68.103) Prec@5 85.938 (86.653) Epoch: [72][6700/10010] Time 0.319 (0.327) Data 0.001 (0.001) Loss 1.4954 (1.3746) Prec@1 66.406 (68.100) Prec@5 85.938 (86.654) Epoch: [72][6710/10010] Time 0.329 (0.327) Data 0.001 (0.001) Loss 1.4679 (1.3746) Prec@1 66.406 (68.099) Prec@5 85.938 (86.654) Epoch: [72][6720/10010] Time 0.331 (0.327) Data 0.001 (0.001) Loss 1.4715 (1.3746) Prec@1 64.062 (68.100) Prec@5 82.031 (86.654) Epoch: [72][6730/10010] Time 0.339 (0.327) Data 0.000 (0.001) Loss 1.3658 (1.3748) Prec@1 67.969 (68.096) Prec@5 89.062 (86.652) Epoch: [72][6740/10010] Time 0.333 (0.327) Data 0.001 (0.001) Loss 1.2324 (1.3748) Prec@1 68.750 (68.094) Prec@5 89.062 (86.652) Epoch: [72][6750/10010] Time 0.325 (0.327) Data 0.000 (0.001) Loss 1.5253 (1.3749) Prec@1 62.500 (68.091) Prec@5 85.938 (86.652) Epoch: [72][6760/10010] Time 0.338 (0.327) Data 0.001 (0.001) Loss 1.6396 (1.3749) Prec@1 63.281 (68.093) Prec@5 82.031 (86.651) Epoch: [72][6770/10010] Time 0.342 (0.327) Data 0.001 (0.001) Loss 1.4941 (1.3750) Prec@1 61.719 (68.091) Prec@5 82.812 (86.650) Epoch: [72][6780/10010] Time 0.341 (0.327) Data 0.001 (0.001) Loss 1.5060 (1.3751) Prec@1 66.406 (68.088) Prec@5 86.719 (86.650) Epoch: [72][6790/10010] Time 0.318 (0.327) Data 0.001 (0.001) Loss 1.4780 (1.3750) Prec@1 68.750 (68.090) Prec@5 83.594 (86.650) Epoch: [72][6800/10010] Time 0.334 (0.327) Data 0.000 (0.001) Loss 1.6282 (1.3750) Prec@1 62.500 (68.090) Prec@5 80.469 (86.648) Epoch: [72][6810/10010] Time 0.323 (0.327) Data 0.001 (0.001) Loss 1.4734 (1.3750) Prec@1 67.188 (68.091) Prec@5 86.719 (86.650) Epoch: [72][6820/10010] Time 0.331 (0.327) Data 0.000 (0.001) Loss 1.3198 (1.3750) Prec@1 67.969 (68.093) Prec@5 85.938 (86.650) Epoch: [72][6830/10010] Time 0.338 (0.327) Data 0.000 (0.001) Loss 1.5103 (1.3750) Prec@1 65.625 (68.093) Prec@5 85.156 (86.651) Epoch: [72][6840/10010] Time 0.338 (0.327) Data 0.001 (0.001) Loss 1.6484 (1.3750) Prec@1 66.406 (68.093) Prec@5 85.156 (86.650) Epoch: [72][6850/10010] Time 0.337 (0.327) Data 0.000 (0.001) Loss 1.5248 (1.3750) Prec@1 63.281 (68.093) Prec@5 84.375 (86.650) Epoch: [72][6860/10010] Time 0.336 (0.327) Data 0.001 (0.001) Loss 1.2814 (1.3750) Prec@1 70.312 (68.093) Prec@5 89.062 (86.651) Epoch: [72][6870/10010] Time 0.318 (0.327) Data 0.000 (0.001) Loss 1.5481 (1.3750) Prec@1 61.719 (68.092) Prec@5 82.031 (86.650) Epoch: [72][6880/10010] Time 0.321 (0.327) Data 0.000 (0.001) Loss 1.4588 (1.3751) Prec@1 69.531 (68.088) Prec@5 89.062 (86.650) Epoch: [72][6890/10010] Time 0.320 (0.327) Data 0.000 (0.001) Loss 1.3343 (1.3751) Prec@1 72.656 (68.086) Prec@5 88.281 (86.652) Epoch: [72][6900/10010] Time 0.338 (0.327) Data 0.000 (0.001) Loss 1.4183 (1.3753) Prec@1 67.969 (68.081) Prec@5 87.500 (86.649) Epoch: [72][6910/10010] Time 0.323 (0.327) Data 0.001 (0.001) Loss 1.1093 (1.3754) Prec@1 72.656 (68.080) Prec@5 89.844 (86.648) Epoch: [72][6920/10010] Time 0.320 (0.327) Data 0.001 (0.001) Loss 1.3473 (1.3754) Prec@1 72.656 (68.082) Prec@5 88.281 (86.650) Epoch: [72][6930/10010] Time 0.317 (0.327) Data 0.000 (0.001) Loss 1.3916 (1.3754) Prec@1 68.750 (68.079) Prec@5 85.938 (86.649) Epoch: [72][6940/10010] Time 0.328 (0.327) Data 0.001 (0.001) Loss 1.6152 (1.3754) Prec@1 65.625 (68.081) Prec@5 79.688 (86.651) Epoch: [72][6950/10010] Time 0.333 (0.327) Data 0.000 (0.001) Loss 1.3104 (1.3754) Prec@1 71.875 (68.081) Prec@5 87.500 (86.652) Epoch: [72][6960/10010] Time 0.313 (0.327) Data 0.001 (0.001) Loss 1.3716 (1.3755) Prec@1 70.312 (68.079) Prec@5 88.281 (86.650) Epoch: [72][6970/10010] Time 0.317 (0.327) Data 0.000 (0.001) Loss 1.0623 (1.3755) Prec@1 74.219 (68.076) Prec@5 92.969 (86.649) Epoch: [72][6980/10010] Time 0.323 (0.327) Data 0.001 (0.001) Loss 1.4617 (1.3755) Prec@1 65.625 (68.077) Prec@5 84.375 (86.651) Epoch: [72][6990/10010] Time 0.325 (0.327) Data 0.001 (0.001) Loss 1.4532 (1.3754) Prec@1 67.188 (68.079) Prec@5 88.281 (86.653) Epoch: [72][7000/10010] Time 0.318 (0.327) Data 0.001 (0.001) Loss 1.5596 (1.3754) Prec@1 65.625 (68.079) Prec@5 84.375 (86.653) Epoch: [72][7010/10010] Time 0.331 (0.327) Data 0.000 (0.001) Loss 1.6432 (1.3754) Prec@1 60.156 (68.078) Prec@5 81.250 (86.653) Epoch: [72][7020/10010] Time 0.330 (0.327) Data 0.001 (0.001) Loss 1.3985 (1.3754) Prec@1 63.281 (68.077) Prec@5 83.594 (86.652) Epoch: [72][7030/10010] Time 0.331 (0.327) Data 0.000 (0.001) Loss 1.2185 (1.3754) Prec@1 68.750 (68.078) Prec@5 89.844 (86.653) Epoch: [72][7040/10010] Time 0.335 (0.327) Data 0.000 (0.001) Loss 1.6344 (1.3754) Prec@1 64.062 (68.075) Prec@5 85.938 (86.652) Epoch: [72][7050/10010] Time 0.336 (0.327) Data 0.000 (0.001) Loss 1.1635 (1.3755) Prec@1 71.094 (68.073) Prec@5 89.844 (86.651) Epoch: [72][7060/10010] Time 0.315 (0.327) Data 0.001 (0.001) Loss 1.2418 (1.3754) Prec@1 66.406 (68.074) Prec@5 89.844 (86.655) Epoch: [72][7070/10010] Time 0.328 (0.327) Data 0.000 (0.001) Loss 1.6643 (1.3755) Prec@1 64.062 (68.071) Prec@5 82.812 (86.654) Epoch: [72][7080/10010] Time 0.335 (0.327) Data 0.001 (0.001) Loss 1.2725 (1.3754) Prec@1 71.875 (68.071) Prec@5 83.594 (86.655) Epoch: [72][7090/10010] Time 0.338 (0.327) Data 0.001 (0.001) Loss 1.3179 (1.3755) Prec@1 65.625 (68.071) Prec@5 85.156 (86.654) Epoch: [72][7100/10010] Time 0.338 (0.327) Data 0.000 (0.001) Loss 1.3215 (1.3755) Prec@1 71.094 (68.071) Prec@5 89.062 (86.655) Epoch: [72][7110/10010] Time 0.342 (0.327) Data 0.001 (0.001) Loss 1.4860 (1.3754) Prec@1 66.406 (68.073) Prec@5 85.156 (86.654) Epoch: [72][7120/10010] Time 0.327 (0.327) Data 0.001 (0.001) Loss 1.3313 (1.3755) Prec@1 69.531 (68.072) Prec@5 85.938 (86.655) Epoch: [72][7130/10010] Time 0.318 (0.327) Data 0.000 (0.001) Loss 1.4115 (1.3755) Prec@1 66.406 (68.071) Prec@5 88.281 (86.656) Epoch: [72][7140/10010] Time 0.331 (0.327) Data 0.001 (0.001) Loss 1.2340 (1.3755) Prec@1 75.781 (68.072) Prec@5 89.844 (86.655) Epoch: [72][7150/10010] Time 0.333 (0.327) Data 0.001 (0.001) Loss 1.6316 (1.3756) Prec@1 64.844 (68.071) Prec@5 82.812 (86.653) Epoch: [72][7160/10010] Time 0.320 (0.327) Data 0.000 (0.001) Loss 1.7976 (1.3757) Prec@1 61.719 (68.073) Prec@5 78.125 (86.652) Epoch: [72][7170/10010] Time 0.326 (0.327) Data 0.001 (0.001) Loss 1.6615 (1.3757) Prec@1 64.844 (68.072) Prec@5 84.375 (86.652) Epoch: [72][7180/10010] Time 0.341 (0.327) Data 0.001 (0.001) Loss 1.1580 (1.3756) Prec@1 73.438 (68.072) Prec@5 89.062 (86.653) Epoch: [72][7190/10010] Time 0.333 (0.327) Data 0.000 (0.001) Loss 1.1941 (1.3756) Prec@1 73.438 (68.072) Prec@5 87.500 (86.655) Epoch: [72][7200/10010] Time 0.322 (0.327) Data 0.001 (0.001) Loss 1.2930 (1.3755) Prec@1 67.188 (68.075) Prec@5 89.844 (86.658) Epoch: [72][7210/10010] Time 0.320 (0.327) Data 0.001 (0.001) Loss 1.1086 (1.3754) Prec@1 68.750 (68.077) Prec@5 92.969 (86.657) Epoch: [72][7220/10010] Time 0.319 (0.327) Data 0.001 (0.001) Loss 1.3165 (1.3754) Prec@1 67.969 (68.077) Prec@5 85.156 (86.658) Epoch: [72][7230/10010] Time 0.314 (0.327) Data 0.001 (0.001) Loss 1.5189 (1.3753) Prec@1 67.969 (68.075) Prec@5 85.938 (86.659) Epoch: [72][7240/10010] Time 0.322 (0.327) Data 0.001 (0.001) Loss 1.4087 (1.3755) Prec@1 74.219 (68.075) Prec@5 88.281 (86.656) Epoch: [72][7250/10010] Time 0.322 (0.327) Data 0.001 (0.001) Loss 1.6305 (1.3756) Prec@1 63.281 (68.071) Prec@5 82.031 (86.654) Epoch: [72][7260/10010] Time 0.324 (0.327) Data 0.000 (0.001) Loss 1.3990 (1.3757) Prec@1 64.844 (68.070) Prec@5 90.625 (86.653) Epoch: [72][7270/10010] Time 0.335 (0.327) Data 0.001 (0.001) Loss 1.3298 (1.3757) Prec@1 65.625 (68.069) Prec@5 91.406 (86.654) Epoch: [72][7280/10010] Time 0.330 (0.327) Data 0.000 (0.001) Loss 1.5471 (1.3757) Prec@1 64.062 (68.068) Prec@5 83.594 (86.654) Epoch: [72][7290/10010] Time 0.337 (0.327) Data 0.000 (0.001) Loss 1.3627 (1.3757) Prec@1 64.844 (68.065) Prec@5 89.062 (86.653) Epoch: [72][7300/10010] Time 0.331 (0.327) Data 0.001 (0.001) Loss 1.4558 (1.3758) Prec@1 63.281 (68.063) Prec@5 85.156 (86.653) Epoch: [72][7310/10010] Time 0.336 (0.327) Data 0.000 (0.001) Loss 1.6506 (1.3759) Prec@1 64.062 (68.060) Prec@5 83.594 (86.650) Epoch: [72][7320/10010] Time 0.320 (0.327) Data 0.001 (0.001) Loss 1.6388 (1.3759) Prec@1 62.500 (68.062) Prec@5 81.250 (86.650) Epoch: [72][7330/10010] Time 0.336 (0.327) Data 0.001 (0.001) Loss 1.3737 (1.3759) Prec@1 63.281 (68.062) Prec@5 87.500 (86.651) Epoch: [72][7340/10010] Time 0.313 (0.327) Data 0.000 (0.001) Loss 1.4832 (1.3757) Prec@1 67.188 (68.065) Prec@5 84.375 (86.653) Epoch: [72][7350/10010] Time 0.335 (0.327) Data 0.001 (0.001) Loss 1.3400 (1.3757) Prec@1 63.281 (68.066) Prec@5 89.062 (86.654) Epoch: [72][7360/10010] Time 0.330 (0.327) Data 0.001 (0.001) Loss 1.5100 (1.3757) Prec@1 63.281 (68.067) Prec@5 86.719 (86.654) Epoch: [72][7370/10010] Time 0.339 (0.327) Data 0.000 (0.001) Loss 1.3853 (1.3756) Prec@1 72.656 (68.069) Prec@5 86.719 (86.653) Epoch: [72][7380/10010] Time 0.341 (0.327) Data 0.000 (0.001) Loss 1.4253 (1.3758) Prec@1 63.281 (68.068) Prec@5 85.938 (86.653) Epoch: [72][7390/10010] Time 0.321 (0.327) Data 0.001 (0.001) Loss 1.3788 (1.3757) Prec@1 65.625 (68.069) Prec@5 86.719 (86.655) Epoch: [72][7400/10010] Time 0.328 (0.327) Data 0.000 (0.001) Loss 1.4213 (1.3757) Prec@1 68.750 (68.068) Prec@5 83.594 (86.655) Epoch: [72][7410/10010] Time 0.326 (0.327) Data 0.000 (0.001) Loss 1.8692 (1.3759) Prec@1 61.719 (68.064) Prec@5 81.250 (86.654) Epoch: [72][7420/10010] Time 0.335 (0.327) Data 0.001 (0.001) Loss 1.4048 (1.3760) Prec@1 67.969 (68.065) Prec@5 85.156 (86.653) Epoch: [72][7430/10010] Time 0.322 (0.327) Data 0.001 (0.001) Loss 1.1340 (1.3760) Prec@1 73.438 (68.065) Prec@5 89.844 (86.653) Epoch: [72][7440/10010] Time 0.326 (0.327) Data 0.001 (0.001) Loss 1.3849 (1.3759) Prec@1 66.406 (68.066) Prec@5 87.500 (86.653) Epoch: [72][7450/10010] Time 0.320 (0.327) Data 0.000 (0.001) Loss 1.5528 (1.3760) Prec@1 65.625 (68.064) Prec@5 83.594 (86.652) Epoch: [72][7460/10010] Time 0.322 (0.327) Data 0.001 (0.001) Loss 1.3001 (1.3760) Prec@1 69.531 (68.064) Prec@5 89.062 (86.652) Epoch: [72][7470/10010] Time 0.330 (0.327) Data 0.001 (0.001) Loss 1.5013 (1.3761) Prec@1 68.750 (68.062) Prec@5 84.375 (86.650) Epoch: [72][7480/10010] Time 0.339 (0.327) Data 0.000 (0.001) Loss 1.3818 (1.3761) Prec@1 71.094 (68.063) Prec@5 85.156 (86.652) Epoch: [72][7490/10010] Time 0.316 (0.327) Data 0.001 (0.001) Loss 1.5617 (1.3761) Prec@1 67.188 (68.062) Prec@5 84.375 (86.649) Epoch: [72][7500/10010] Time 0.318 (0.327) Data 0.001 (0.001) Loss 1.2423 (1.3761) Prec@1 69.531 (68.060) Prec@5 86.719 (86.650) Epoch: [72][7510/10010] Time 0.334 (0.327) Data 0.001 (0.001) Loss 1.3320 (1.3761) Prec@1 64.062 (68.061) Prec@5 88.281 (86.650) Epoch: [72][7520/10010] Time 0.334 (0.327) Data 0.000 (0.001) Loss 1.4877 (1.3762) Prec@1 64.844 (68.060) Prec@5 85.156 (86.650) Epoch: [72][7530/10010] Time 0.326 (0.327) Data 0.000 (0.001) Loss 1.5924 (1.3761) Prec@1 64.844 (68.061) Prec@5 84.375 (86.650) Epoch: [72][7540/10010] Time 0.338 (0.327) Data 0.000 (0.001) Loss 1.5420 (1.3761) Prec@1 64.844 (68.064) Prec@5 84.375 (86.649) Epoch: [72][7550/10010] Time 0.335 (0.327) Data 0.001 (0.001) Loss 1.5128 (1.3761) Prec@1 69.531 (68.063) Prec@5 83.594 (86.647) Epoch: [72][7560/10010] Time 0.340 (0.327) Data 0.001 (0.001) Loss 1.5141 (1.3762) Prec@1 68.750 (68.063) Prec@5 84.375 (86.647) Epoch: [72][7570/10010] Time 0.339 (0.327) Data 0.000 (0.001) Loss 1.5209 (1.3761) Prec@1 66.406 (68.064) Prec@5 83.594 (86.648) Epoch: [72][7580/10010] Time 0.323 (0.327) Data 0.001 (0.001) Loss 1.3164 (1.3761) Prec@1 67.969 (68.064) Prec@5 89.062 (86.648) Epoch: [72][7590/10010] Time 0.337 (0.327) Data 0.000 (0.001) Loss 1.2383 (1.3761) Prec@1 71.875 (68.062) Prec@5 91.406 (86.647) Epoch: [72][7600/10010] Time 0.323 (0.327) Data 0.000 (0.001) Loss 1.3473 (1.3762) Prec@1 67.188 (68.059) Prec@5 87.500 (86.648) Epoch: [72][7610/10010] Time 0.320 (0.327) Data 0.000 (0.001) Loss 1.4266 (1.3762) Prec@1 66.406 (68.058) Prec@5 82.812 (86.648) Epoch: [72][7620/10010] Time 0.325 (0.327) Data 0.000 (0.001) Loss 1.1741 (1.3763) Prec@1 71.094 (68.057) Prec@5 92.969 (86.647) Epoch: [72][7630/10010] Time 0.337 (0.327) Data 0.001 (0.001) Loss 1.6008 (1.3763) Prec@1 65.625 (68.058) Prec@5 85.156 (86.646) Epoch: [72][7640/10010] Time 0.339 (0.327) Data 0.001 (0.001) Loss 1.2848 (1.3763) Prec@1 69.531 (68.057) Prec@5 88.281 (86.646) Epoch: [72][7650/10010] Time 0.313 (0.327) Data 0.001 (0.001) Loss 0.9923 (1.3763) Prec@1 79.688 (68.057) Prec@5 90.625 (86.647) Epoch: [72][7660/10010] Time 0.343 (0.327) Data 0.001 (0.001) Loss 1.5682 (1.3764) Prec@1 63.281 (68.054) Prec@5 79.688 (86.646) Epoch: [72][7670/10010] Time 0.336 (0.327) Data 0.001 (0.001) Loss 1.2804 (1.3764) Prec@1 68.750 (68.055) Prec@5 88.281 (86.646) Epoch: [72][7680/10010] Time 0.340 (0.327) Data 0.000 (0.001) Loss 1.4891 (1.3764) Prec@1 70.312 (68.056) Prec@5 85.156 (86.647) Epoch: [72][7690/10010] Time 0.320 (0.327) Data 0.001 (0.001) Loss 1.2417 (1.3763) Prec@1 67.969 (68.057) Prec@5 87.500 (86.647) Epoch: [72][7700/10010] Time 0.325 (0.327) Data 0.001 (0.001) Loss 1.1666 (1.3763) Prec@1 71.875 (68.058) Prec@5 92.188 (86.649) Epoch: [72][7710/10010] Time 0.320 (0.327) Data 0.000 (0.001) Loss 1.3572 (1.3762) Prec@1 70.312 (68.059) Prec@5 88.281 (86.651) Epoch: [72][7720/10010] Time 0.313 (0.327) Data 0.001 (0.001) Loss 1.3307 (1.3762) Prec@1 69.531 (68.057) Prec@5 88.281 (86.650) Epoch: [72][7730/10010] Time 0.312 (0.327) Data 0.001 (0.001) Loss 1.1556 (1.3762) Prec@1 75.781 (68.060) Prec@5 89.062 (86.650) Epoch: [72][7740/10010] Time 0.321 (0.327) Data 0.001 (0.001) Loss 1.1212 (1.3762) Prec@1 71.094 (68.058) Prec@5 87.500 (86.649) Epoch: [72][7750/10010] Time 0.336 (0.327) Data 0.001 (0.001) Loss 1.1534 (1.3762) Prec@1 71.094 (68.058) Prec@5 90.625 (86.648) Epoch: [72][7760/10010] Time 0.323 (0.327) Data 0.000 (0.001) Loss 1.3324 (1.3762) Prec@1 66.406 (68.059) Prec@5 88.281 (86.649) Epoch: [72][7770/10010] Time 0.325 (0.327) Data 0.000 (0.001) Loss 1.3646 (1.3762) Prec@1 64.844 (68.059) Prec@5 85.156 (86.649) Epoch: [72][7780/10010] Time 0.334 (0.327) Data 0.000 (0.001) Loss 1.2693 (1.3761) Prec@1 66.406 (68.060) Prec@5 89.062 (86.650) Epoch: [72][7790/10010] Time 0.336 (0.327) Data 0.000 (0.001) Loss 1.3797 (1.3761) Prec@1 63.281 (68.058) Prec@5 86.719 (86.651) Epoch: [72][7800/10010] Time 0.322 (0.327) Data 0.001 (0.001) Loss 1.4163 (1.3761) Prec@1 71.875 (68.058) Prec@5 84.375 (86.650) Epoch: [72][7810/10010] Time 0.331 (0.327) Data 0.001 (0.001) Loss 1.5048 (1.3762) Prec@1 69.531 (68.059) Prec@5 85.156 (86.650) Epoch: [72][7820/10010] Time 0.321 (0.327) Data 0.000 (0.001) Loss 1.3674 (1.3761) Prec@1 65.625 (68.059) Prec@5 88.281 (86.651) Epoch: [72][7830/10010] Time 0.316 (0.327) Data 0.001 (0.001) Loss 1.3961 (1.3761) Prec@1 66.406 (68.060) Prec@5 85.938 (86.652) Epoch: [72][7840/10010] Time 0.313 (0.327) Data 0.001 (0.001) Loss 1.4229 (1.3761) Prec@1 67.969 (68.059) Prec@5 87.500 (86.652) Epoch: [72][7850/10010] Time 0.321 (0.327) Data 0.001 (0.001) Loss 1.2184 (1.3760) Prec@1 72.656 (68.064) Prec@5 91.406 (86.654) Epoch: [72][7860/10010] Time 0.322 (0.327) Data 0.001 (0.001) Loss 1.3625 (1.3760) Prec@1 67.969 (68.062) Prec@5 86.719 (86.653) Epoch: [72][7870/10010] Time 0.324 (0.327) Data 0.001 (0.001) Loss 1.7804 (1.3761) Prec@1 58.594 (68.060) Prec@5 77.344 (86.652) Epoch: [72][7880/10010] Time 0.333 (0.327) Data 0.000 (0.001) Loss 1.4673 (1.3762) Prec@1 69.531 (68.060) Prec@5 86.719 (86.651) Epoch: [72][7890/10010] Time 0.329 (0.327) Data 0.000 (0.001) Loss 1.8001 (1.3762) Prec@1 57.031 (68.059) Prec@5 77.344 (86.650) Epoch: [72][7900/10010] Time 0.332 (0.327) Data 0.000 (0.001) Loss 1.3944 (1.3763) Prec@1 71.875 (68.059) Prec@5 87.500 (86.648) Epoch: [72][7910/10010] Time 0.330 (0.327) Data 0.001 (0.001) Loss 1.3670 (1.3764) Prec@1 71.875 (68.060) Prec@5 87.500 (86.646) Epoch: [72][7920/10010] Time 0.324 (0.327) Data 0.000 (0.001) Loss 1.2636 (1.3764) Prec@1 70.312 (68.059) Prec@5 88.281 (86.646) Epoch: [72][7930/10010] Time 0.337 (0.327) Data 0.000 (0.001) Loss 1.3495 (1.3764) Prec@1 69.531 (68.059) Prec@5 85.938 (86.646) Epoch: [72][7940/10010] Time 0.323 (0.327) Data 0.001 (0.001) Loss 1.4756 (1.3763) Prec@1 69.531 (68.059) Prec@5 83.594 (86.648) Epoch: [72][7950/10010] Time 0.340 (0.327) Data 0.001 (0.001) Loss 1.5810 (1.3763) Prec@1 61.719 (68.058) Prec@5 82.812 (86.648) Epoch: [72][7960/10010] Time 0.318 (0.327) Data 0.000 (0.001) Loss 1.7148 (1.3763) Prec@1 60.938 (68.058) Prec@5 83.594 (86.648) Epoch: [72][7970/10010] Time 0.323 (0.327) Data 0.000 (0.001) Loss 1.7840 (1.3764) Prec@1 59.375 (68.055) Prec@5 80.469 (86.648) Epoch: [72][7980/10010] Time 0.329 (0.327) Data 0.001 (0.001) Loss 1.4824 (1.3765) Prec@1 64.844 (68.055) Prec@5 83.594 (86.648) Epoch: [72][7990/10010] Time 0.335 (0.327) Data 0.001 (0.001) Loss 1.5813 (1.3765) Prec@1 62.500 (68.054) Prec@5 82.812 (86.647) Epoch: [72][8000/10010] Time 0.319 (0.327) Data 0.001 (0.001) Loss 1.6572 (1.3766) Prec@1 65.625 (68.054) Prec@5 83.594 (86.646) Epoch: [72][8010/10010] Time 0.334 (0.327) Data 0.000 (0.001) Loss 1.1475 (1.3765) Prec@1 72.656 (68.055) Prec@5 92.188 (86.647) Epoch: [72][8020/10010] Time 0.312 (0.327) Data 0.001 (0.001) Loss 1.4610 (1.3764) Prec@1 70.312 (68.057) Prec@5 85.938 (86.649) Epoch: [72][8030/10010] Time 0.331 (0.327) Data 0.000 (0.001) Loss 1.8722 (1.3766) Prec@1 57.031 (68.054) Prec@5 81.250 (86.648) Epoch: [72][8040/10010] Time 0.319 (0.327) Data 0.000 (0.001) Loss 1.5114 (1.3765) Prec@1 67.188 (68.055) Prec@5 82.031 (86.648) Epoch: [72][8050/10010] Time 0.324 (0.327) Data 0.001 (0.001) Loss 1.2856 (1.3766) Prec@1 65.625 (68.056) Prec@5 89.062 (86.648) Epoch: [72][8060/10010] Time 0.325 (0.327) Data 0.001 (0.001) Loss 1.4390 (1.3764) Prec@1 68.750 (68.059) Prec@5 87.500 (86.650) Epoch: [72][8070/10010] Time 0.326 (0.327) Data 0.000 (0.001) Loss 1.5123 (1.3764) Prec@1 67.969 (68.059) Prec@5 84.375 (86.648) Epoch: [72][8080/10010] Time 0.328 (0.327) Data 0.000 (0.001) Loss 1.3336 (1.3764) Prec@1 64.844 (68.059) Prec@5 83.594 (86.648) Epoch: [72][8090/10010] Time 0.311 (0.327) Data 0.001 (0.001) Loss 1.4544 (1.3764) Prec@1 68.750 (68.059) Prec@5 83.594 (86.648) Epoch: [72][8100/10010] Time 0.322 (0.327) Data 0.001 (0.001) Loss 1.3862 (1.3766) Prec@1 67.969 (68.056) Prec@5 85.938 (86.646) Epoch: [72][8110/10010] Time 0.321 (0.327) Data 0.001 (0.001) Loss 1.2920 (1.3766) Prec@1 72.656 (68.054) Prec@5 86.719 (86.644) Epoch: [72][8120/10010] Time 0.325 (0.327) Data 0.001 (0.001) Loss 1.3356 (1.3766) Prec@1 64.062 (68.055) Prec@5 86.719 (86.644) Epoch: [72][8130/10010] Time 0.338 (0.327) Data 0.000 (0.001) Loss 1.3576 (1.3767) Prec@1 68.750 (68.053) Prec@5 85.156 (86.642) Epoch: [72][8140/10010] Time 0.319 (0.327) Data 0.001 (0.001) Loss 1.4680 (1.3766) Prec@1 68.750 (68.056) Prec@5 83.594 (86.643) Epoch: [72][8150/10010] Time 0.339 (0.327) Data 0.000 (0.001) Loss 1.2508 (1.3766) Prec@1 71.875 (68.055) Prec@5 89.062 (86.642) Epoch: [72][8160/10010] Time 0.321 (0.327) Data 0.001 (0.001) Loss 1.3907 (1.3766) Prec@1 63.281 (68.053) Prec@5 85.156 (86.641) Epoch: [72][8170/10010] Time 0.317 (0.327) Data 0.001 (0.001) Loss 1.6094 (1.3767) Prec@1 64.062 (68.051) Prec@5 85.156 (86.640) Epoch: [72][8180/10010] Time 0.320 (0.327) Data 0.001 (0.001) Loss 1.3888 (1.3768) Prec@1 61.719 (68.048) Prec@5 86.719 (86.638) Epoch: [72][8190/10010] Time 0.304 (0.327) Data 0.001 (0.001) Loss 1.1700 (1.3768) Prec@1 71.094 (68.048) Prec@5 89.062 (86.638) Epoch: [72][8200/10010] Time 0.320 (0.327) Data 0.001 (0.001) Loss 1.2964 (1.3768) Prec@1 70.312 (68.048) Prec@5 88.281 (86.637) Epoch: [72][8210/10010] Time 0.315 (0.327) Data 0.000 (0.001) Loss 1.2033 (1.3768) Prec@1 71.875 (68.049) Prec@5 88.281 (86.637) Epoch: [72][8220/10010] Time 0.319 (0.327) Data 0.001 (0.001) Loss 1.0246 (1.3768) Prec@1 75.781 (68.052) Prec@5 91.406 (86.636) Epoch: [72][8230/10010] Time 0.329 (0.327) Data 0.001 (0.001) Loss 1.4922 (1.3767) Prec@1 66.406 (68.051) Prec@5 85.938 (86.639) Epoch: [72][8240/10010] Time 0.335 (0.327) Data 0.000 (0.001) Loss 1.1142 (1.3766) Prec@1 74.219 (68.052) Prec@5 92.188 (86.641) Epoch: [72][8250/10010] Time 0.334 (0.327) Data 0.000 (0.001) Loss 1.1394 (1.3766) Prec@1 75.000 (68.054) Prec@5 89.844 (86.642) Epoch: [72][8260/10010] Time 0.332 (0.327) Data 0.001 (0.001) Loss 1.3754 (1.3765) Prec@1 68.750 (68.055) Prec@5 86.719 (86.643) Epoch: [72][8270/10010] Time 0.328 (0.327) Data 0.001 (0.001) Loss 1.6166 (1.3766) Prec@1 64.062 (68.054) Prec@5 82.812 (86.642) /data/vision/torralba/deepscene/lib/anaconda2/lib/python2.7/site-packages/PIL/TiffImagePlugin.py:709: UserWarning: Corrupt EXIF data. Expecting to read 4 bytes but only got 0. warnings.warn(str(msg)) Epoch: [72][8280/10010] Time 0.335 (0.327) Data 0.001 (0.001) Loss 1.3640 (1.3767) Prec@1 69.531 (68.051) Prec@5 84.375 (86.641) Epoch: [72][8290/10010] Time 0.331 (0.327) Data 0.000 (0.001) Loss 1.4415 (1.3768) Prec@1 67.188 (68.050) Prec@5 89.844 (86.640) Epoch: [72][8300/10010] Time 0.313 (0.327) Data 0.001 (0.001) Loss 1.3525 (1.3768) Prec@1 66.406 (68.050) Prec@5 86.719 (86.640) Epoch: [72][8310/10010] Time 0.316 (0.327) Data 0.000 (0.001) Loss 1.3742 (1.3768) Prec@1 64.062 (68.048) Prec@5 89.844 (86.640) /data/vision/torralba/deepscene/lib/anaconda2/lib/python2.7/site-packages/PIL/TiffImagePlugin.py:692: UserWarning: Possibly corrupt EXIF data. Expecting to read 2555904 bytes but only got 0. Skipping tag 0 "Skipping tag %s" % (size, len(data), tag)) Epoch: [72][8320/10010] Time 0.338 (0.327) Data 0.009 (0.001) Loss 1.4002 (1.3768) Prec@1 71.875 (68.050) Prec@5 84.375 (86.640) Epoch: [72][8330/10010] Time 0.318 (0.327) Data 0.000 (0.001) Loss 1.5606 (1.3768) Prec@1 62.500 (68.050) Prec@5 83.594 (86.639) Epoch: [72][8340/10010] Time 0.326 (0.327) Data 0.001 (0.001) Loss 1.7262 (1.3769) Prec@1 64.844 (68.047) Prec@5 80.469 (86.639) Epoch: [72][8350/10010] Time 0.330 (0.327) Data 0.001 (0.001) Loss 1.7062 (1.3769) Prec@1 60.938 (68.049) Prec@5 81.250 (86.639) Epoch: [72][8360/10010] Time 0.334 (0.327) Data 0.001 (0.001) Loss 1.3661 (1.3768) Prec@1 69.531 (68.050) Prec@5 85.156 (86.641) Epoch: [72][8370/10010] Time 0.316 (0.327) Data 0.001 (0.001) Loss 1.3399 (1.3769) Prec@1 69.531 (68.049) Prec@5 85.938 (86.640) Epoch: [72][8380/10010] Time 0.345 (0.327) Data 0.000 (0.001) Loss 1.4840 (1.3769) Prec@1 67.969 (68.051) Prec@5 88.281 (86.639) Epoch: [72][8390/10010] Time 0.327 (0.327) Data 0.001 (0.001) Loss 1.3999 (1.3770) Prec@1 68.750 (68.052) Prec@5 85.156 (86.639) Epoch: [72][8400/10010] Time 0.338 (0.327) Data 0.001 (0.001) Loss 1.2852 (1.3769) Prec@1 73.438 (68.052) Prec@5 89.844 (86.639) Epoch: [72][8410/10010] Time 0.323 (0.327) Data 0.001 (0.001) Loss 1.4609 (1.3770) Prec@1 67.969 (68.050) Prec@5 85.156 (86.638) Epoch: [72][8420/10010] Time 0.326 (0.327) Data 0.001 (0.001) Loss 1.2993 (1.3770) Prec@1 71.094 (68.052) Prec@5 86.719 (86.638) Epoch: [72][8430/10010] Time 0.317 (0.327) Data 0.001 (0.001) Loss 1.4151 (1.3770) Prec@1 68.750 (68.051) Prec@5 85.156 (86.637) /data/vision/torralba/deepscene/lib/anaconda2/lib/python2.7/site-packages/PIL/TiffImagePlugin.py:692: UserWarning: Possibly corrupt EXIF data. Expecting to read 2555904 bytes but only got 0. Skipping tag 0 "Skipping tag %s" % (size, len(data), tag)) Epoch: [72][8440/10010] Time 0.325 (0.327) Data 0.000 (0.001) Loss 1.4647 (1.3771) Prec@1 63.281 (68.049) Prec@5 85.938 (86.636) Epoch: [72][8450/10010] Time 0.330 (0.327) Data 0.000 (0.001) Loss 1.4126 (1.3770) Prec@1 66.406 (68.051) Prec@5 85.938 (86.637) Epoch: [72][8460/10010] Time 0.337 (0.327) Data 0.001 (0.001) Loss 1.6119 (1.3772) Prec@1 64.844 (68.047) Prec@5 84.375 (86.636) /data/vision/torralba/deepscene/lib/anaconda2/lib/python2.7/site-packages/PIL/TiffImagePlugin.py:692: UserWarning: Possibly corrupt EXIF data. Expecting to read 19660800 bytes but only got 0. Skipping tag 0 "Skipping tag %s" % (size, len(data), tag)) /data/vision/torralba/deepscene/lib/anaconda2/lib/python2.7/site-packages/PIL/TiffImagePlugin.py:692: UserWarning: Possibly corrupt EXIF data. Expecting to read 18481152 bytes but only got 0. Skipping tag 0 "Skipping tag %s" % (size, len(data), tag)) /data/vision/torralba/deepscene/lib/anaconda2/lib/python2.7/site-packages/PIL/TiffImagePlugin.py:692: UserWarning: Possibly corrupt EXIF data. Expecting to read 37093376 bytes but only got 0. Skipping tag 0 "Skipping tag %s" % (size, len(data), tag)) /data/vision/torralba/deepscene/lib/anaconda2/lib/python2.7/site-packages/PIL/TiffImagePlugin.py:692: UserWarning: Possibly corrupt EXIF data. Expecting to read 39976960 bytes but only got 0. Skipping tag 0 "Skipping tag %s" % (size, len(data), tag)) /data/vision/torralba/deepscene/lib/anaconda2/lib/python2.7/site-packages/PIL/TiffImagePlugin.py:692: UserWarning: Possibly corrupt EXIF data. Expecting to read 34865152 bytes but only got 0. Skipping tag 0 "Skipping tag %s" % (size, len(data), tag)) /data/vision/torralba/deepscene/lib/anaconda2/lib/python2.7/site-packages/PIL/TiffImagePlugin.py:709: UserWarning: Corrupt EXIF data. Expecting to read 12 bytes but only got 10. warnings.warn(str(msg)) Epoch: [72][8470/10010] Time 0.312 (0.327) Data 0.001 (0.001) Loss 1.3309 (1.3772) Prec@1 70.312 (68.046) Prec@5 84.375 (86.634) Epoch: [72][8480/10010] Time 0.334 (0.327) Data 0.001 (0.001) Loss 1.8965 (1.3772) Prec@1 58.594 (68.047) Prec@5 77.344 (86.635) Epoch: [72][8490/10010] Time 0.338 (0.327) Data 0.001 (0.001) Loss 1.2466 (1.3772) Prec@1 71.875 (68.045) Prec@5 86.719 (86.634) Epoch: [72][8500/10010] Time 0.321 (0.327) Data 0.000 (0.001) Loss 1.1834 (1.3772) Prec@1 70.312 (68.045) Prec@5 88.281 (86.634) Epoch: [72][8510/10010] Time 0.315 (0.327) Data 0.001 (0.001) Loss 1.3033 (1.3772) Prec@1 68.750 (68.045) Prec@5 88.281 (86.634) Epoch: [72][8520/10010] Time 0.337 (0.327) Data 0.001 (0.001) Loss 1.5546 (1.3774) Prec@1 64.844 (68.043) Prec@5 84.375 (86.631) Epoch: [72][8530/10010] Time 0.334 (0.327) Data 0.001 (0.001) Loss 1.2884 (1.3775) Prec@1 62.500 (68.039) Prec@5 86.719 (86.629) Epoch: [72][8540/10010] Time 0.334 (0.327) Data 0.000 (0.001) Loss 1.5605 (1.3774) Prec@1 63.281 (68.040) Prec@5 80.469 (86.630) Epoch: [72][8550/10010] Time 0.320 (0.327) Data 0.001 (0.001) Loss 1.2615 (1.3773) Prec@1 75.000 (68.043) Prec@5 87.500 (86.630) Epoch: [72][8560/10010] Time 0.319 (0.327) Data 0.001 (0.001) Loss 1.5900 (1.3775) Prec@1 63.281 (68.039) Prec@5 85.156 (86.629) Epoch: [72][8570/10010] Time 0.317 (0.327) Data 0.000 (0.001) Loss 1.3429 (1.3774) Prec@1 73.438 (68.040) Prec@5 88.281 (86.631) Epoch: [72][8580/10010] Time 0.328 (0.327) Data 0.000 (0.001) Loss 1.3931 (1.3774) Prec@1 67.969 (68.039) Prec@5 83.594 (86.631) Epoch: [72][8590/10010] Time 0.319 (0.327) Data 0.000 (0.001) Loss 1.1472 (1.3774) Prec@1 75.000 (68.038) Prec@5 88.281 (86.631) Epoch: [72][8600/10010] Time 0.343 (0.327) Data 0.000 (0.001) Loss 1.0865 (1.3773) Prec@1 74.219 (68.040) Prec@5 91.406 (86.632) Epoch: [72][8610/10010] Time 0.342 (0.327) Data 0.001 (0.001) Loss 1.6070 (1.3775) Prec@1 64.062 (68.039) Prec@5 84.375 (86.631) Epoch: [72][8620/10010] Time 0.339 (0.327) Data 0.001 (0.001) Loss 1.5378 (1.3776) Prec@1 71.094 (68.039) Prec@5 82.031 (86.629) Epoch: [72][8630/10010] Time 0.319 (0.327) Data 0.001 (0.001) Loss 1.7630 (1.3776) Prec@1 59.375 (68.038) Prec@5 80.469 (86.629) Epoch: [72][8640/10010] Time 0.314 (0.327) Data 0.001 (0.001) Loss 1.3007 (1.3776) Prec@1 72.656 (68.038) Prec@5 89.062 (86.629) Epoch: [72][8650/10010] Time 0.328 (0.327) Data 0.001 (0.001) Loss 1.4393 (1.3777) Prec@1 64.062 (68.036) Prec@5 85.156 (86.628) Epoch: [72][8660/10010] Time 0.316 (0.327) Data 0.001 (0.001) Loss 1.1547 (1.3778) Prec@1 72.656 (68.036) Prec@5 91.406 (86.628) Epoch: [72][8670/10010] Time 0.338 (0.327) Data 0.001 (0.001) Loss 1.5721 (1.3778) Prec@1 67.969 (68.035) Prec@5 85.938 (86.627) Epoch: [72][8680/10010] Time 0.329 (0.327) Data 0.000 (0.001) Loss 1.6037 (1.3778) Prec@1 64.062 (68.036) Prec@5 82.812 (86.627) Epoch: [72][8690/10010] Time 0.335 (0.327) Data 0.001 (0.001) Loss 1.4835 (1.3779) Prec@1 67.188 (68.035) Prec@5 82.812 (86.627) Epoch: [72][8700/10010] Time 0.337 (0.327) Data 0.001 (0.001) Loss 1.5705 (1.3778) Prec@1 62.500 (68.036) Prec@5 83.594 (86.627) Epoch: [72][8710/10010] Time 0.314 (0.327) Data 0.001 (0.001) Loss 1.8680 (1.3778) Prec@1 57.031 (68.036) Prec@5 77.344 (86.626) Epoch: [72][8720/10010] Time 0.325 (0.327) Data 0.000 (0.001) Loss 1.2422 (1.3777) Prec@1 71.875 (68.039) Prec@5 86.719 (86.627) Epoch: [72][8730/10010] Time 0.325 (0.327) Data 0.000 (0.001) Loss 1.2780 (1.3778) Prec@1 67.188 (68.040) Prec@5 88.281 (86.626) Epoch: [72][8740/10010] Time 0.322 (0.327) Data 0.000 (0.001) Loss 1.5088 (1.3778) Prec@1 67.188 (68.039) Prec@5 85.156 (86.626) Epoch: [72][8750/10010] Time 0.325 (0.327) Data 0.000 (0.001) Loss 1.2885 (1.3777) Prec@1 71.875 (68.039) Prec@5 85.938 (86.626) Epoch: [72][8760/10010] Time 0.337 (0.327) Data 0.001 (0.001) Loss 1.4380 (1.3777) Prec@1 71.094 (68.041) Prec@5 87.500 (86.626) Epoch: [72][8770/10010] Time 0.329 (0.327) Data 0.001 (0.001) Loss 1.2802 (1.3778) Prec@1 71.875 (68.039) Prec@5 87.500 (86.624) Epoch: [72][8780/10010] Time 0.317 (0.327) Data 0.000 (0.001) Loss 1.2340 (1.3778) Prec@1 68.750 (68.038) Prec@5 87.500 (86.625) Epoch: [72][8790/10010] Time 0.339 (0.327) Data 0.000 (0.001) Loss 1.2962 (1.3778) Prec@1 72.656 (68.037) Prec@5 89.844 (86.626) Epoch: [72][8800/10010] Time 0.332 (0.327) Data 0.001 (0.001) Loss 1.6151 (1.3779) Prec@1 60.938 (68.035) Prec@5 83.594 (86.626) Epoch: [72][8810/10010] Time 0.329 (0.327) Data 0.001 (0.001) Loss 1.0422 (1.3780) Prec@1 74.219 (68.033) Prec@5 92.969 (86.625) Epoch: [72][8820/10010] Time 0.337 (0.327) Data 0.000 (0.001) Loss 1.1317 (1.3779) Prec@1 71.094 (68.034) Prec@5 89.844 (86.628) Epoch: [72][8830/10010] Time 0.314 (0.327) Data 0.001 (0.001) Loss 1.6853 (1.3780) Prec@1 65.625 (68.035) Prec@5 84.375 (86.626) Epoch: [72][8840/10010] Time 0.337 (0.327) Data 0.001 (0.001) Loss 1.7159 (1.3780) Prec@1 63.281 (68.035) Prec@5 83.594 (86.625) Epoch: [72][8850/10010] Time 0.337 (0.327) Data 0.001 (0.001) Loss 1.4798 (1.3781) Prec@1 64.844 (68.033) Prec@5 87.500 (86.625) Epoch: [72][8860/10010] Time 0.316 (0.327) Data 0.001 (0.001) Loss 1.5658 (1.3782) Prec@1 65.625 (68.032) Prec@5 83.594 (86.622) Epoch: [72][8870/10010] Time 0.321 (0.327) Data 0.001 (0.001) Loss 1.5989 (1.3783) Prec@1 61.719 (68.028) Prec@5 81.250 (86.621) Epoch: [72][8880/10010] Time 0.331 (0.327) Data 0.000 (0.001) Loss 1.3781 (1.3784) Prec@1 70.312 (68.027) Prec@5 86.719 (86.619) Epoch: [72][8890/10010] Time 0.316 (0.327) Data 0.000 (0.001) Loss 1.4836 (1.3784) Prec@1 62.500 (68.026) Prec@5 85.156 (86.621) Epoch: [72][8900/10010] Time 0.341 (0.327) Data 0.001 (0.001) Loss 1.3017 (1.3785) Prec@1 69.531 (68.023) Prec@5 86.719 (86.618) Epoch: [72][8910/10010] Time 0.322 (0.327) Data 0.001 (0.001) Loss 1.5616 (1.3786) Prec@1 61.719 (68.020) Prec@5 84.375 (86.618) Epoch: [72][8920/10010] Time 0.338 (0.327) Data 0.001 (0.001) Loss 1.3098 (1.3786) Prec@1 72.656 (68.019) Prec@5 86.719 (86.618) Epoch: [72][8930/10010] Time 0.318 (0.327) Data 0.001 (0.001) Loss 1.2579 (1.3786) Prec@1 71.094 (68.019) Prec@5 87.500 (86.618) Epoch: [72][8940/10010] Time 0.323 (0.327) Data 0.001 (0.001) Loss 1.1936 (1.3785) Prec@1 69.531 (68.018) Prec@5 88.281 (86.619) Epoch: [72][8950/10010] Time 0.339 (0.327) Data 0.001 (0.001) Loss 1.4851 (1.3786) Prec@1 62.500 (68.016) Prec@5 85.156 (86.618) Epoch: [72][8960/10010] Time 0.314 (0.327) Data 0.000 (0.001) Loss 1.2561 (1.3786) Prec@1 69.531 (68.016) Prec@5 86.719 (86.618) Epoch: [72][8970/10010] Time 0.330 (0.327) Data 0.001 (0.001) Loss 1.5198 (1.3785) Prec@1 61.719 (68.016) Prec@5 82.031 (86.617) Epoch: [72][8980/10010] Time 0.328 (0.327) Data 0.001 (0.001) Loss 1.3294 (1.3785) Prec@1 69.531 (68.017) Prec@5 87.500 (86.619) Epoch: [72][8990/10010] Time 0.318 (0.327) Data 0.001 (0.001) Loss 1.2101 (1.3784) Prec@1 70.312 (68.019) Prec@5 87.500 (86.620) Epoch: [72][9000/10010] Time 0.313 (0.327) Data 0.001 (0.001) Loss 1.3566 (1.3784) Prec@1 70.312 (68.019) Prec@5 85.938 (86.620) Epoch: [72][9010/10010] Time 0.334 (0.327) Data 0.000 (0.001) Loss 1.8877 (1.3784) Prec@1 58.594 (68.017) Prec@5 80.469 (86.618) Epoch: [72][9020/10010] Time 0.325 (0.327) Data 0.001 (0.001) Loss 1.4511 (1.3784) Prec@1 64.844 (68.017) Prec@5 85.156 (86.619) Epoch: [72][9030/10010] Time 0.317 (0.327) Data 0.001 (0.001) Loss 1.1193 (1.3783) Prec@1 72.656 (68.019) Prec@5 88.281 (86.620) Epoch: [72][9040/10010] Time 0.318 (0.327) Data 0.000 (0.001) Loss 1.2914 (1.3783) Prec@1 70.312 (68.020) Prec@5 84.375 (86.621) Epoch: [72][9050/10010] Time 0.330 (0.327) Data 0.001 (0.001) Loss 1.6823 (1.3784) Prec@1 61.719 (68.017) Prec@5 82.812 (86.619) Epoch: [72][9060/10010] Time 0.339 (0.327) Data 0.001 (0.001) Loss 1.1328 (1.3783) Prec@1 72.656 (68.018) Prec@5 85.938 (86.620) Epoch: [72][9070/10010] Time 0.313 (0.327) Data 0.001 (0.001) Loss 1.3624 (1.3782) Prec@1 66.406 (68.017) Prec@5 84.375 (86.621) Epoch: [72][9080/10010] Time 0.339 (0.327) Data 0.001 (0.001) Loss 1.3771 (1.3782) Prec@1 67.969 (68.019) Prec@5 88.281 (86.621) Epoch: [72][9090/10010] Time 0.324 (0.327) Data 0.000 (0.001) Loss 1.2633 (1.3782) Prec@1 69.531 (68.019) Prec@5 87.500 (86.621) Epoch: [72][9100/10010] Time 0.319 (0.327) Data 0.001 (0.001) Loss 1.1770 (1.3782) Prec@1 67.188 (68.019) Prec@5 91.406 (86.621) Epoch: [72][9110/10010] Time 0.319 (0.327) Data 0.000 (0.001) Loss 1.5228 (1.3783) Prec@1 64.062 (68.017) Prec@5 82.812 (86.619) Epoch: [72][9120/10010] Time 0.330 (0.327) Data 0.000 (0.001) Loss 1.2091 (1.3783) Prec@1 74.219 (68.017) Prec@5 86.719 (86.618) Epoch: [72][9130/10010] Time 0.327 (0.327) Data 0.001 (0.001) Loss 1.3711 (1.3784) Prec@1 65.625 (68.016) Prec@5 86.719 (86.618) Epoch: [72][9140/10010] Time 0.329 (0.327) Data 0.001 (0.001) Loss 1.6879 (1.3785) Prec@1 63.281 (68.016) Prec@5 81.250 (86.615) Epoch: [72][9150/10010] Time 0.314 (0.327) Data 0.001 (0.001) Loss 1.5137 (1.3785) Prec@1 64.062 (68.016) Prec@5 85.156 (86.615) Epoch: [72][9160/10010] Time 0.327 (0.327) Data 0.001 (0.001) Loss 1.5549 (1.3786) Prec@1 61.719 (68.014) Prec@5 82.812 (86.614) Epoch: [72][9170/10010] Time 0.332 (0.327) Data 0.000 (0.001) Loss 1.3593 (1.3786) Prec@1 68.750 (68.013) Prec@5 84.375 (86.614) Epoch: [72][9180/10010] Time 0.339 (0.327) Data 0.001 (0.001) Loss 1.5646 (1.3786) Prec@1 67.188 (68.012) Prec@5 84.375 (86.613) Epoch: [72][9190/10010] Time 0.315 (0.327) Data 0.001 (0.001) Loss 1.5542 (1.3786) Prec@1 64.062 (68.013) Prec@5 82.812 (86.612) Epoch: [72][9200/10010] Time 0.324 (0.327) Data 0.001 (0.001) Loss 1.4737 (1.3786) Prec@1 68.750 (68.016) Prec@5 85.156 (86.612) Epoch: [72][9210/10010] Time 0.335 (0.327) Data 0.000 (0.001) Loss 1.3061 (1.3786) Prec@1 67.969 (68.014) Prec@5 85.938 (86.612) Epoch: [72][9220/10010] Time 0.314 (0.327) Data 0.001 (0.001) Loss 1.1329 (1.3786) Prec@1 75.000 (68.014) Prec@5 90.625 (86.612) Epoch: [72][9230/10010] Time 0.339 (0.327) Data 0.001 (0.001) Loss 1.3450 (1.3785) Prec@1 72.656 (68.015) Prec@5 87.500 (86.613) Epoch: [72][9240/10010] Time 0.336 (0.327) Data 0.001 (0.001) Loss 1.6322 (1.3786) Prec@1 62.500 (68.014) Prec@5 81.250 (86.612) Epoch: [72][9250/10010] Time 0.327 (0.327) Data 0.001 (0.001) Loss 1.7265 (1.3786) Prec@1 61.719 (68.012) Prec@5 80.469 (86.612) Epoch: [72][9260/10010] Time 0.313 (0.327) Data 0.001 (0.001) Loss 1.2992 (1.3786) Prec@1 73.438 (68.012) Prec@5 85.938 (86.611) Epoch: [72][9270/10010] Time 0.333 (0.327) Data 0.001 (0.001) Loss 1.3978 (1.3787) Prec@1 64.062 (68.011) Prec@5 87.500 (86.610) Epoch: [72][9280/10010] Time 0.334 (0.327) Data 0.000 (0.001) Loss 1.5168 (1.3787) Prec@1 65.625 (68.010) Prec@5 83.594 (86.610) Epoch: [72][9290/10010] Time 0.340 (0.327) Data 0.000 (0.001) Loss 1.4768 (1.3787) Prec@1 62.500 (68.010) Prec@5 82.812 (86.610) Epoch: [72][9300/10010] Time 0.318 (0.327) Data 0.001 (0.001) Loss 1.3102 (1.3786) Prec@1 72.656 (68.012) Prec@5 89.844 (86.611) Epoch: [72][9310/10010] Time 0.320 (0.327) Data 0.001 (0.001) Loss 1.3835 (1.3787) Prec@1 72.656 (68.011) Prec@5 85.938 (86.610) Epoch: [72][9320/10010] Time 0.318 (0.327) Data 0.001 (0.001) Loss 1.2371 (1.3786) Prec@1 74.219 (68.014) Prec@5 89.062 (86.611) Epoch: [72][9330/10010] Time 0.331 (0.327) Data 0.001 (0.001) Loss 1.5170 (1.3786) Prec@1 63.281 (68.014) Prec@5 84.375 (86.610) Epoch: [72][9340/10010] Time 0.318 (0.327) Data 0.001 (0.001) Loss 1.2792 (1.3786) Prec@1 68.750 (68.014) Prec@5 88.281 (86.610) Epoch: [72][9350/10010] Time 0.319 (0.327) Data 0.001 (0.001) Loss 1.4085 (1.3786) Prec@1 69.531 (68.016) Prec@5 87.500 (86.611) Epoch: [72][9360/10010] Time 0.323 (0.327) Data 0.001 (0.001) Loss 1.5689 (1.3787) Prec@1 61.719 (68.013) Prec@5 85.156 (86.611) Epoch: [72][9370/10010] Time 0.331 (0.327) Data 0.001 (0.001) Loss 1.4183 (1.3787) Prec@1 65.625 (68.012) Prec@5 87.500 (86.611) Epoch: [72][9380/10010] Time 0.332 (0.327) Data 0.000 (0.001) Loss 1.2609 (1.3786) Prec@1 67.969 (68.015) Prec@5 90.625 (86.613) Epoch: [72][9390/10010] Time 0.327 (0.327) Data 0.001 (0.001) Loss 1.5116 (1.3786) Prec@1 64.844 (68.012) Prec@5 82.812 (86.613) Epoch: [72][9400/10010] Time 0.323 (0.327) Data 0.000 (0.001) Loss 1.5047 (1.3785) Prec@1 65.625 (68.016) Prec@5 82.812 (86.614) Epoch: [72][9410/10010] Time 0.343 (0.327) Data 0.001 (0.001) Loss 1.4761 (1.3786) Prec@1 66.406 (68.016) Prec@5 84.375 (86.613) Epoch: [72][9420/10010] Time 0.326 (0.327) Data 0.000 (0.001) Loss 1.4351 (1.3786) Prec@1 63.281 (68.014) Prec@5 82.031 (86.611) Epoch: [72][9430/10010] Time 0.331 (0.327) Data 0.001 (0.001) Loss 1.5859 (1.3787) Prec@1 61.719 (68.012) Prec@5 82.812 (86.610) Epoch: [72][9440/10010] Time 0.336 (0.327) Data 0.001 (0.001) Loss 1.3304 (1.3787) Prec@1 66.406 (68.011) Prec@5 89.062 (86.608) Epoch: [72][9450/10010] Time 0.335 (0.327) Data 0.000 (0.001) Loss 1.3241 (1.3787) Prec@1 73.438 (68.013) Prec@5 88.281 (86.610) Epoch: [72][9460/10010] Time 0.336 (0.327) Data 0.001 (0.001) Loss 1.5919 (1.3787) Prec@1 65.625 (68.013) Prec@5 86.719 (86.611) Epoch: [72][9470/10010] Time 0.324 (0.327) Data 0.001 (0.001) Loss 1.2028 (1.3785) Prec@1 74.219 (68.015) Prec@5 87.500 (86.613) Epoch: [72][9480/10010] Time 0.342 (0.327) Data 0.000 (0.001) Loss 1.2860 (1.3786) Prec@1 69.531 (68.016) Prec@5 90.625 (86.613) Epoch: [72][9490/10010] Time 0.333 (0.327) Data 0.000 (0.001) Loss 1.3285 (1.3786) Prec@1 67.188 (68.015) Prec@5 89.062 (86.613) Epoch: [72][9500/10010] Time 0.321 (0.327) Data 0.000 (0.001) Loss 1.4742 (1.3787) Prec@1 64.844 (68.012) Prec@5 88.281 (86.611) Epoch: [72][9510/10010] Time 0.320 (0.327) Data 0.000 (0.001) Loss 1.1984 (1.3787) Prec@1 71.875 (68.014) Prec@5 90.625 (86.611) Epoch: [72][9520/10010] Time 0.336 (0.327) Data 0.001 (0.001) Loss 1.2364 (1.3787) Prec@1 71.875 (68.013) Prec@5 89.844 (86.612) Epoch: [72][9530/10010] Time 0.330 (0.327) Data 0.001 (0.001) Loss 1.2869 (1.3786) Prec@1 71.875 (68.014) Prec@5 86.719 (86.613) Epoch: [72][9540/10010] Time 0.325 (0.327) Data 0.001 (0.001) Loss 1.5488 (1.3787) Prec@1 67.188 (68.015) Prec@5 82.812 (86.613) Epoch: [72][9550/10010] Time 0.323 (0.327) Data 0.000 (0.001) Loss 1.7084 (1.3786) Prec@1 65.625 (68.017) Prec@5 81.250 (86.614) Epoch: [72][9560/10010] Time 0.324 (0.327) Data 0.000 (0.001) Loss 1.3359 (1.3786) Prec@1 70.312 (68.017) Prec@5 89.844 (86.614) Epoch: [72][9570/10010] Time 0.320 (0.327) Data 0.000 (0.001) Loss 1.2820 (1.3785) Prec@1 70.312 (68.019) Prec@5 86.719 (86.614) Epoch: [72][9580/10010] Time 0.331 (0.327) Data 0.001 (0.001) Loss 1.2696 (1.3785) Prec@1 75.781 (68.019) Prec@5 88.281 (86.615) Epoch: [72][9590/10010] Time 0.333 (0.327) Data 0.002 (0.001) Loss 1.4789 (1.3786) Prec@1 67.188 (68.018) Prec@5 85.938 (86.614) Epoch: [72][9600/10010] Time 0.334 (0.327) Data 0.000 (0.001) Loss 1.3028 (1.3786) Prec@1 66.406 (68.018) Prec@5 89.062 (86.614) Epoch: [72][9610/10010] Time 0.339 (0.327) Data 0.000 (0.001) Loss 1.3926 (1.3786) Prec@1 66.406 (68.017) Prec@5 88.281 (86.614) Epoch: [72][9620/10010] Time 0.309 (0.327) Data 0.001 (0.001) Loss 1.4340 (1.3785) Prec@1 64.062 (68.018) Prec@5 89.844 (86.617) Epoch: [72][9630/10010] Time 0.339 (0.327) Data 0.001 (0.001) Loss 1.4429 (1.3786) Prec@1 67.969 (68.017) Prec@5 85.156 (86.616) Epoch: [72][9640/10010] Time 0.336 (0.327) Data 0.001 (0.001) Loss 1.3178 (1.3785) Prec@1 67.969 (68.017) Prec@5 87.500 (86.617) Epoch: [72][9650/10010] Time 0.322 (0.327) Data 0.001 (0.001) Loss 1.3765 (1.3785) Prec@1 68.750 (68.019) Prec@5 82.812 (86.617) Epoch: [72][9660/10010] Time 0.324 (0.327) Data 0.000 (0.001) Loss 1.6986 (1.3786) Prec@1 64.062 (68.017) Prec@5 81.250 (86.615) Epoch: [72][9670/10010] Time 0.333 (0.327) Data 0.000 (0.001) Loss 1.3723 (1.3786) Prec@1 66.406 (68.018) Prec@5 87.500 (86.616) Epoch: [72][9680/10010] Time 0.322 (0.327) Data 0.001 (0.001) Loss 0.9974 (1.3786) Prec@1 73.438 (68.017) Prec@5 94.531 (86.617) Epoch: [72][9690/10010] Time 0.319 (0.327) Data 0.001 (0.001) Loss 1.1414 (1.3786) Prec@1 75.000 (68.017) Prec@5 88.281 (86.616) Epoch: [72][9700/10010] Time 0.316 (0.327) Data 0.000 (0.001) Loss 1.1824 (1.3786) Prec@1 74.219 (68.017) Prec@5 89.062 (86.615) Epoch: [72][9710/10010] Time 0.313 (0.327) Data 0.000 (0.001) Loss 1.5842 (1.3785) Prec@1 61.719 (68.017) Prec@5 83.594 (86.615) Epoch: [72][9720/10010] Time 0.311 (0.327) Data 0.001 (0.001) Loss 1.4198 (1.3786) Prec@1 67.188 (68.016) Prec@5 86.719 (86.615) Epoch: [72][9730/10010] Time 0.321 (0.327) Data 0.001 (0.001) Loss 1.4416 (1.3785) Prec@1 64.062 (68.017) Prec@5 86.719 (86.616) Epoch: [72][9740/10010] Time 0.340 (0.327) Data 0.000 (0.001) Loss 1.7502 (1.3785) Prec@1 60.938 (68.017) Prec@5 82.031 (86.616) Epoch: [72][9750/10010] Time 0.341 (0.327) Data 0.000 (0.001) Loss 1.5852 (1.3785) Prec@1 67.188 (68.016) Prec@5 85.938 (86.617) Epoch: [72][9760/10010] Time 0.333 (0.327) Data 0.001 (0.001) Loss 1.6273 (1.3785) Prec@1 64.062 (68.014) Prec@5 78.906 (86.616) Epoch: [72][9770/10010] Time 0.318 (0.327) Data 0.001 (0.001) Loss 1.5268 (1.3786) Prec@1 66.406 (68.014) Prec@5 82.031 (86.615) Epoch: [72][9780/10010] Time 0.320 (0.327) Data 0.001 (0.001) Loss 1.5876 (1.3786) Prec@1 64.844 (68.014) Prec@5 84.375 (86.614) Epoch: [72][9790/10010] Time 0.323 (0.327) Data 0.000 (0.001) Loss 0.9994 (1.3785) Prec@1 76.562 (68.014) Prec@5 94.531 (86.616) Epoch: [72][9800/10010] Time 0.321 (0.327) Data 0.001 (0.001) Loss 1.2353 (1.3786) Prec@1 71.875 (68.014) Prec@5 89.062 (86.615) Epoch: [72][9810/10010] Time 0.311 (0.327) Data 0.001 (0.001) Loss 1.3679 (1.3787) Prec@1 66.406 (68.010) Prec@5 86.719 (86.613) Epoch: [72][9820/10010] Time 0.321 (0.327) Data 0.000 (0.001) Loss 1.6977 (1.3787) Prec@1 58.594 (68.009) Prec@5 81.250 (86.612) Epoch: [72][9830/10010] Time 0.323 (0.327) Data 0.000 (0.001) Loss 1.3478 (1.3788) Prec@1 68.750 (68.007) Prec@5 87.500 (86.613) Epoch: [72][9840/10010] Time 0.328 (0.327) Data 0.001 (0.001) Loss 1.3548 (1.3787) Prec@1 62.500 (68.007) Prec@5 86.719 (86.613) Epoch: [72][9850/10010] Time 0.329 (0.327) Data 0.000 (0.001) Loss 1.3376 (1.3787) Prec@1 68.750 (68.008) Prec@5 86.719 (86.612) Epoch: [72][9860/10010] Time 0.325 (0.327) Data 0.001 (0.001) Loss 1.2917 (1.3786) Prec@1 67.188 (68.009) Prec@5 90.625 (86.612) Epoch: [72][9870/10010] Time 0.321 (0.327) Data 0.000 (0.001) Loss 1.1346 (1.3787) Prec@1 73.438 (68.006) Prec@5 90.625 (86.611) Epoch: [72][9880/10010] Time 0.317 (0.327) Data 0.001 (0.001) Loss 1.2162 (1.3788) Prec@1 69.531 (68.007) Prec@5 89.844 (86.611) Epoch: [72][9890/10010] Time 0.317 (0.327) Data 0.000 (0.001) Loss 1.2108 (1.3787) Prec@1 71.094 (68.007) Prec@5 89.844 (86.611) Epoch: [72][9900/10010] Time 0.336 (0.327) Data 0.001 (0.001) Loss 1.3916 (1.3786) Prec@1 67.188 (68.010) Prec@5 87.500 (86.612) Epoch: [72][9910/10010] Time 0.333 (0.327) Data 0.001 (0.001) Loss 1.4730 (1.3787) Prec@1 68.750 (68.010) Prec@5 82.812 (86.611) Epoch: [72][9920/10010] Time 0.333 (0.327) Data 0.001 (0.001) Loss 1.3180 (1.3787) Prec@1 67.188 (68.007) Prec@5 85.938 (86.610) Epoch: [72][9930/10010] Time 0.341 (0.327) Data 0.000 (0.001) Loss 1.4422 (1.3788) Prec@1 67.188 (68.006) Prec@5 84.375 (86.609) Epoch: [72][9940/10010] Time 0.321 (0.327) Data 0.001 (0.001) Loss 0.9729 (1.3787) Prec@1 76.562 (68.005) Prec@5 93.750 (86.610) Epoch: [72][9950/10010] Time 0.334 (0.327) Data 0.000 (0.001) Loss 1.3868 (1.3787) Prec@1 67.969 (68.006) Prec@5 88.281 (86.611) Epoch: [72][9960/10010] Time 0.316 (0.327) Data 0.001 (0.001) Loss 1.2168 (1.3786) Prec@1 71.875 (68.009) Prec@5 86.719 (86.612) Epoch: [72][9970/10010] Time 0.319 (0.327) Data 0.001 (0.001) Loss 1.2847 (1.3786) Prec@1 65.625 (68.006) Prec@5 88.281 (86.612) Epoch: [72][9980/10010] Time 0.332 (0.327) Data 0.000 (0.001) Loss 1.6350 (1.3786) Prec@1 66.406 (68.007) Prec@5 86.719 (86.613) Epoch: [72][9990/10010] Time 0.318 (0.327) Data 0.000 (0.001) Loss 1.3220 (1.3787) Prec@1 71.094 (68.006) Prec@5 85.938 (86.612) Epoch: [72][10000/10010] Time 0.326 (0.327) Data 0.000 (0.001) Loss 1.2427 (1.3787) Prec@1 67.188 (68.006) Prec@5 85.938 (86.612) Test: [0/391] Time 1.380 (1.380) Loss 0.7081 (0.7081) Prec@1 84.375 (84.375) Prec@5 95.312 (95.312) Test: [10/391] Time 0.159 (0.223) Loss 1.3404 (0.6527) Prec@1 71.094 (83.878) Prec@5 89.062 (95.241) Test: [20/391] Time 0.104 (0.167) Loss 0.9358 (0.9121) Prec@1 75.781 (77.158) Prec@5 92.188 (92.820) Test: [30/391] Time 0.105 (0.149) Loss 1.6815 (1.0350) Prec@1 66.406 (73.614) Prec@5 86.719 (92.061) Test: [40/391] Time 0.104 (0.138) Loss 0.9356 (0.9306) Prec@1 78.906 (76.505) Prec@5 90.625 (92.912) Test: [50/391] Time 0.107 (0.132) Loss 0.5279 (0.9522) Prec@1 87.500 (76.547) Prec@5 96.875 (92.540) Test: [60/391] Time 0.104 (0.127) Loss 1.0238 (0.9003) Prec@1 72.656 (77.754) Prec@5 91.406 (92.982) Test: [70/391] Time 0.105 (0.124) Loss 1.0163 (0.9267) Prec@1 69.531 (76.772) Prec@5 97.656 (92.969) Test: [80/391] Time 0.145 (0.122) Loss 0.9316 (0.9435) Prec@1 75.781 (75.955) Prec@5 95.312 (93.065) Test: [90/391] Time 0.103 (0.120) Loss 1.1149 (0.9487) Prec@1 64.844 (75.670) Prec@5 92.969 (93.115) Test: [100/391] Time 0.107 (0.119) Loss 0.6263 (0.9379) Prec@1 81.250 (75.596) Prec@5 96.875 (93.402) Test: [110/391] Time 0.107 (0.118) Loss 1.3817 (0.9417) Prec@1 47.656 (75.183) Prec@5 92.969 (93.497) Test: [120/391] Time 0.102 (0.117) Loss 0.7913 (0.9356) Prec@1 78.906 (75.465) Prec@5 96.875 (93.608) Test: [130/391] Time 0.111 (0.117) Loss 0.4741 (0.9280) Prec@1 89.062 (75.769) Prec@5 96.875 (93.708) Test: [140/391] Time 0.106 (0.116) Loss 1.2255 (0.9277) Prec@1 63.281 (75.637) Prec@5 92.188 (93.750) Test: [150/391] Time 0.103 (0.115) Loss 0.9551 (0.9339) Prec@1 71.094 (75.600) Prec@5 92.969 (93.574) Test: [160/391] Time 0.113 (0.114) Loss 0.9287 (0.9381) Prec@1 75.000 (75.534) Prec@5 92.969 (93.507) Test: [170/391] Time 0.097 (0.114) Loss 1.5453 (0.9665) Prec@1 61.719 (75.000) Prec@5 89.062 (93.165) Test: [180/391] Time 0.105 (0.114) Loss 1.9458 (0.9956) Prec@1 54.688 (74.430) Prec@5 85.938 (92.822) Test: [190/391] Time 0.104 (0.113) Loss 2.0209 (1.0302) Prec@1 53.906 (73.703) Prec@5 82.812 (92.351) Test: [200/391] Time 0.101 (0.113) Loss 1.1941 (1.0594) Prec@1 70.312 (73.158) Prec@5 90.625 (91.947) Test: [210/391] Time 0.106 (0.112) Loss 1.5387 (1.0761) Prec@1 67.969 (72.852) Prec@5 85.156 (91.732) Test: [220/391] Time 0.114 (0.112) Loss 0.6606 (1.0866) Prec@1 82.812 (72.674) Prec@5 95.312 (91.530) Test: [230/391] Time 0.103 (0.112) Loss 2.0356 (1.0999) Prec@1 52.344 (72.436) Prec@5 82.812 (91.403) Test: [240/391] Time 0.104 (0.112) Loss 1.2798 (1.1065) Prec@1 76.562 (72.397) Prec@5 86.719 (91.251) Test: [250/391] Time 0.103 (0.111) Loss 0.8127 (1.1312) Prec@1 80.469 (71.819) Prec@5 93.750 (90.942) Test: [260/391] Time 0.114 (0.111) Loss 1.4379 (1.1468) Prec@1 70.312 (71.516) Prec@5 89.062 (90.769) Test: [270/391] Time 0.104 (0.111) Loss 2.0321 (1.1578) Prec@1 56.250 (71.258) Prec@5 82.031 (90.619) Test: [280/391] Time 0.101 (0.111) Loss 1.2265 (1.1640) Prec@1 67.969 (71.133) Prec@5 93.750 (90.528) Test: [290/391] Time 0.110 (0.111) Loss 1.6177 (1.1747) Prec@1 50.000 (70.887) Prec@5 89.062 (90.348) Test: [300/391] Time 0.111 (0.111) Loss 1.2360 (1.1855) Prec@1 79.688 (70.697) Prec@5 87.500 (90.168) Test: [310/391] Time 0.184 (0.111) Loss 1.4708 (1.1943) Prec@1 64.062 (70.544) Prec@5 85.938 (90.025) Test: [320/391] Time 0.106 (0.111) Loss 0.8685 (1.2019) Prec@1 82.031 (70.415) Prec@5 92.969 (89.929) Test: [330/391] Time 0.110 (0.110) Loss 1.9370 (1.2193) Prec@1 58.594 (70.043) Prec@5 78.906 (89.690) Test: [340/391] Time 0.101 (0.110) Loss 1.1379 (1.2244) Prec@1 61.719 (69.891) Prec@5 94.531 (89.631) Test: [350/391] Time 0.107 (0.110) Loss 1.3091 (1.2293) Prec@1 69.531 (69.792) Prec@5 90.625 (89.557) Test: [360/391] Time 0.103 (0.110) Loss 1.4655 (1.2368) Prec@1 59.375 (69.620) Prec@5 89.062 (89.497) Test: [370/391] Time 0.105 (0.110) Loss 1.0809 (1.2318) Prec@1 70.312 (69.691) Prec@5 96.094 (89.566) Test: [380/391] Time 0.100 (0.110) Loss 0.9687 (1.2334) Prec@1 75.000 (69.669) Prec@5 93.750 (89.528) Test: [390/391] Time 0.073 (0.109) Loss 1.9773 (1.2266) Prec@1 42.500 (69.846) Prec@5 81.250 (89.612) * Prec@1 69.846 Prec@5 89.612 Epoch: [73][0/10010] Time 2.476 (2.476) Data 2.296 (2.296) Loss 1.2042 (1.2042) Prec@1 71.875 (71.875) Prec@5 86.719 (86.719) Epoch: [73][10/10010] Time 0.318 (0.514) Data 0.000 (0.212) Loss 1.0259 (1.3339) Prec@1 74.219 (68.963) Prec@5 89.844 (86.577) Epoch: [73][20/10010] Time 0.319 (0.420) Data 0.000 (0.111) Loss 1.4442 (1.3390) Prec@1 60.938 (68.601) Prec@5 85.938 (86.793) Epoch: [73][30/10010] Time 0.321 (0.386) Data 0.001 (0.075) Loss 1.3606 (1.3294) Prec@1 67.188 (68.700) Prec@5 86.719 (87.223) Epoch: [73][40/10010] Time 0.323 (0.371) Data 0.000 (0.057) Loss 1.3950 (1.3370) Prec@1 67.969 (68.769) Prec@5 83.594 (87.157) Epoch: [73][50/10010] Time 0.317 (0.361) Data 0.001 (0.046) Loss 1.4115 (1.3372) Prec@1 68.750 (69.026) Prec@5 87.500 (87.163) Epoch: [73][60/10010] Time 0.312 (0.356) Data 0.001 (0.039) Loss 1.5514 (1.3458) Prec@1 63.281 (68.699) Prec@5 79.688 (87.077) Epoch: [73][70/10010] Time 0.338 (0.353) Data 0.001 (0.033) Loss 1.1600 (1.3440) Prec@1 69.531 (68.552) Prec@5 90.625 (87.082) Epoch: [73][80/10010] Time 0.321 (0.349) Data 0.000 (0.029) Loss 1.4698 (1.3340) Prec@1 65.625 (68.808) Prec@5 85.938 (87.153) Epoch: [73][90/10010] Time 0.335 (0.347) Data 0.001 (0.026) Loss 1.2595 (1.3364) Prec@1 67.188 (68.707) Prec@5 87.500 (87.122) Epoch: [73][100/10010] Time 0.318 (0.345) Data 0.001 (0.024) Loss 1.3094 (1.3492) Prec@1 70.312 (68.580) Prec@5 88.281 (86.920) Epoch: [73][110/10010] Time 0.319 (0.343) Data 0.000 (0.022) Loss 1.2218 (1.3511) Prec@1 74.219 (68.567) Prec@5 85.938 (86.789) Epoch: [73][120/10010] Time 0.333 (0.342) Data 0.001 (0.020) Loss 1.2736 (1.3450) Prec@1 69.531 (68.666) Prec@5 87.500 (86.841) Epoch: [73][130/10010] Time 0.335 (0.341) Data 0.001 (0.018) Loss 1.4075 (1.3549) Prec@1 68.750 (68.553) Prec@5 84.375 (86.766) Epoch: [73][140/10010] Time 0.320 (0.340) Data 0.001 (0.017) Loss 1.0955 (1.3543) Prec@1 71.875 (68.595) Prec@5 92.969 (86.796) Epoch: [73][150/10010] Time 0.312 (0.339) Data 0.000 (0.016) Loss 1.5800 (1.3519) Prec@1 63.281 (68.631) Prec@5 83.594 (86.853) Epoch: [73][160/10010] Time 0.323 (0.338) Data 0.000 (0.015) Loss 1.4601 (1.3520) Prec@1 64.844 (68.546) Prec@5 83.594 (86.879) Epoch: [73][170/10010] Time 0.314 (0.337) Data 0.001 (0.014) Loss 1.3926 (1.3533) Prec@1 70.312 (68.554) Prec@5 85.156 (86.851) Epoch: [73][180/10010] Time 0.335 (0.337) Data 0.001 (0.013) Loss 1.1764 (1.3521) Prec@1 75.000 (68.590) Prec@5 89.844 (86.853) Epoch: [73][190/10010] Time 0.336 (0.337) Data 0.001 (0.013) Loss 1.3880 (1.3583) Prec@1 65.625 (68.439) Prec@5 82.812 (86.743) Epoch: [73][200/10010] Time 0.325 (0.336) Data 0.000 (0.012) Loss 1.4448 (1.3584) Prec@1 72.656 (68.466) Prec@5 86.719 (86.754) Epoch: [73][210/10010] Time 0.319 (0.335) Data 0.001 (0.012) Loss 1.4203 (1.3579) Prec@1 69.531 (68.517) Prec@5 83.594 (86.741) Epoch: [73][220/10010] Time 0.338 (0.335) Data 0.001 (0.011) Loss 1.1526 (1.3593) Prec@1 70.312 (68.428) Prec@5 92.969 (86.768) Epoch: [73][230/10010] Time 0.332 (0.334) Data 0.001 (0.011) Loss 1.2364 (1.3568) Prec@1 64.844 (68.419) Prec@5 90.625 (86.834) Epoch: [73][240/10010] Time 0.315 (0.334) Data 0.001 (0.010) Loss 1.5513 (1.3603) Prec@1 64.062 (68.348) Prec@5 83.594 (86.793) Epoch: [73][250/10010] Time 0.310 (0.334) Data 0.001 (0.010) Loss 1.3667 (1.3606) Prec@1 71.875 (68.420) Prec@5 85.156 (86.812) Epoch: [73][260/10010] Time 0.316 (0.333) Data 0.001 (0.010) Loss 1.5428 (1.3587) Prec@1 60.938 (68.394) Prec@5 84.375 (86.865) Epoch: [73][270/10010] Time 0.329 (0.333) Data 0.000 (0.009) Loss 1.4177 (1.3587) Prec@1 65.625 (68.320) Prec@5 87.500 (86.889) Epoch: [73][280/10010] Time 0.326 (0.333) Data 0.000 (0.009) Loss 1.2602 (1.3571) Prec@1 72.656 (68.389) Prec@5 89.844 (86.905) Epoch: [73][290/10010] Time 0.335 (0.333) Data 0.001 (0.009) Loss 1.4111 (1.3608) Prec@1 71.094 (68.363) Prec@5 89.062 (86.888) Epoch: [73][300/10010] Time 0.312 (0.332) Data 0.001 (0.008) Loss 1.3533 (1.3619) Prec@1 64.844 (68.330) Prec@5 86.719 (86.867) Epoch: [73][310/10010] Time 0.327 (0.332) Data 0.000 (0.008) Loss 1.2289 (1.3609) Prec@1 72.656 (68.338) Prec@5 87.500 (86.864) Epoch: [73][320/10010] Time 0.331 (0.332) Data 0.001 (0.008) Loss 1.3273 (1.3601) Prec@1 67.969 (68.302) Prec@5 88.281 (86.892) Epoch: [73][330/10010] Time 0.316 (0.332) Data 0.000 (0.008) Loss 1.5804 (1.3633) Prec@1 64.844 (68.240) Prec@5 82.812 (86.865) Epoch: [73][340/10010] Time 0.314 (0.331) Data 0.001 (0.007) Loss 1.1448 (1.3617) Prec@1 75.781 (68.285) Prec@5 91.406 (86.872) Epoch: [73][350/10010] Time 0.335 (0.331) Data 0.000 (0.007) Loss 1.3330 (1.3639) Prec@1 71.094 (68.318) Prec@5 89.062 (86.855) Epoch: [73][360/10010] Time 0.315 (0.331) Data 0.001 (0.007) Loss 1.0719 (1.3626) Prec@1 75.000 (68.328) Prec@5 92.188 (86.881) Epoch: [73][370/10010] Time 0.332 (0.331) Data 0.001 (0.007) Loss 1.3369 (1.3613) Prec@1 67.188 (68.352) Prec@5 88.281 (86.919) Epoch: [73][380/10010] Time 0.320 (0.330) Data 0.001 (0.007) Loss 1.2947 (1.3606) Prec@1 69.531 (68.375) Prec@5 89.062 (86.950) Epoch: [73][390/10010] Time 0.325 (0.330) Data 0.000 (0.007) Loss 1.4621 (1.3598) Prec@1 62.500 (68.392) Prec@5 87.500 (86.949) Epoch: [73][400/10010] Time 0.335 (0.330) Data 0.000 (0.006) Loss 1.1764 (1.3603) Prec@1 73.438 (68.364) Prec@5 86.719 (86.958) Epoch: [73][410/10010] Time 0.330 (0.330) Data 0.001 (0.006) Loss 1.3311 (1.3620) Prec@1 71.875 (68.320) Prec@5 85.938 (86.928) Epoch: [73][420/10010] Time 0.315 (0.330) Data 0.000 (0.006) Loss 1.4278 (1.3633) Prec@1 66.406 (68.255) Prec@5 82.031 (86.875) Epoch: [73][430/10010] Time 0.325 (0.330) Data 0.001 (0.006) Loss 1.2136 (1.3635) Prec@1 74.219 (68.237) Prec@5 89.062 (86.882) Epoch: [73][440/10010] Time 0.319 (0.330) Data 0.001 (0.006) Loss 1.3935 (1.3640) Prec@1 67.188 (68.226) Prec@5 82.812 (86.852) Epoch: [73][450/10010] Time 0.320 (0.329) Data 0.000 (0.006) Loss 1.0498 (1.3611) Prec@1 71.094 (68.305) Prec@5 89.844 (86.887) Epoch: [73][460/10010] Time 0.328 (0.329) Data 0.001 (0.006) Loss 1.4762 (1.3612) Prec@1 67.969 (68.296) Prec@5 84.375 (86.893) Epoch: [73][470/10010] Time 0.315 (0.329) Data 0.000 (0.006) Loss 1.6415 (1.3607) Prec@1 61.719 (68.291) Prec@5 82.812 (86.905) Epoch: [73][480/10010] Time 0.323 (0.329) Data 0.000 (0.005) Loss 1.3803 (1.3611) Prec@1 69.531 (68.290) Prec@5 84.375 (86.897) Epoch: [73][490/10010] Time 0.321 (0.329) Data 0.000 (0.005) Loss 1.1236 (1.3608) Prec@1 74.219 (68.309) Prec@5 90.625 (86.922) Epoch: [73][500/10010] Time 0.324 (0.329) Data 0.001 (0.005) Loss 1.6853 (1.3612) Prec@1 60.156 (68.290) Prec@5 82.812 (86.934) Epoch: [73][510/10010] Time 0.313 (0.329) Data 0.001 (0.005) Loss 1.1059 (1.3602) Prec@1 70.312 (68.308) Prec@5 92.969 (86.950) Epoch: [73][520/10010] Time 0.329 (0.329) Data 0.001 (0.005) Loss 1.6630 (1.3605) Prec@1 64.844 (68.312) Prec@5 82.812 (86.941) Epoch: [73][530/10010] Time 0.319 (0.328) Data 0.001 (0.005) Loss 1.5263 (1.3600) Prec@1 61.719 (68.316) Prec@5 85.156 (86.945) Epoch: [73][540/10010] Time 0.327 (0.328) Data 0.001 (0.005) Loss 1.9415 (1.3616) Prec@1 48.438 (68.253) Prec@5 80.469 (86.940) Epoch: [73][550/10010] Time 0.334 (0.328) Data 0.000 (0.005) Loss 1.3092 (1.3615) Prec@1 70.312 (68.254) Prec@5 87.500 (86.941) Epoch: [73][560/10010] Time 0.321 (0.328) Data 0.000 (0.005) Loss 1.4751 (1.3623) Prec@1 63.281 (68.249) Prec@5 90.625 (86.937) Epoch: [73][570/10010] Time 0.336 (0.328) Data 0.001 (0.005) Loss 1.5639 (1.3628) Prec@1 64.062 (68.225) Prec@5 84.375 (86.927) Epoch: [73][580/10010] Time 0.332 (0.328) Data 0.001 (0.005) Loss 1.3359 (1.3639) Prec@1 71.094 (68.191) Prec@5 87.500 (86.907) Epoch: [73][590/10010] Time 0.316 (0.328) Data 0.001 (0.005) Loss 1.4341 (1.3647) Prec@1 70.312 (68.180) Prec@5 85.156 (86.895) Epoch: [73][600/10010] Time 0.322 (0.328) Data 0.001 (0.004) Loss 1.2278 (1.3645) Prec@1 71.094 (68.199) Prec@5 88.281 (86.876) Epoch: [73][610/10010] Time 0.323 (0.328) Data 0.001 (0.004) Loss 1.0157 (1.3631) Prec@1 80.469 (68.239) Prec@5 91.406 (86.890) Epoch: [73][620/10010] Time 0.318 (0.328) Data 0.001 (0.004) Loss 1.5590 (1.3661) Prec@1 65.625 (68.165) Prec@5 85.156 (86.845) Epoch: [73][630/10010] Time 0.340 (0.328) Data 0.001 (0.004) Loss 1.4776 (1.3669) Prec@1 68.750 (68.156) Prec@5 85.156 (86.840) Epoch: [73][640/10010] Time 0.326 (0.328) Data 0.001 (0.004) Loss 1.3911 (1.3675) Prec@1 69.531 (68.142) Prec@5 85.156 (86.836) Epoch: [73][650/10010] Time 0.316 (0.328) Data 0.000 (0.004) Loss 1.6466 (1.3690) Prec@1 60.156 (68.110) Prec@5 83.594 (86.818) Epoch: [73][660/10010] Time 0.316 (0.328) Data 0.001 (0.004) Loss 1.4775 (1.3685) Prec@1 68.750 (68.115) Prec@5 83.594 (86.820) Epoch: [73][670/10010] Time 0.330 (0.328) Data 0.001 (0.004) Loss 1.5085 (1.3700) Prec@1 66.406 (68.105) Prec@5 91.406 (86.806) Epoch: [73][680/10010] Time 0.322 (0.328) Data 0.000 (0.004) Loss 1.4132 (1.3701) Prec@1 64.844 (68.108) Prec@5 87.500 (86.806) Epoch: [73][690/10010] Time 0.338 (0.328) Data 0.001 (0.004) Loss 1.1855 (1.3688) Prec@1 71.094 (68.135) Prec@5 89.062 (86.821) Epoch: [73][700/10010] Time 0.338 (0.328) Data 0.001 (0.004) Loss 1.3710 (1.3678) Prec@1 73.438 (68.140) Prec@5 82.812 (86.832) Epoch: [73][710/10010] Time 0.325 (0.328) Data 0.001 (0.004) Loss 1.4920 (1.3691) Prec@1 65.625 (68.130) Prec@5 85.156 (86.810) Epoch: [73][720/10010] Time 0.326 (0.328) Data 0.001 (0.004) Loss 1.3540 (1.3696) Prec@1 67.969 (68.127) Prec@5 85.938 (86.814) Epoch: [73][730/10010] Time 0.339 (0.328) Data 0.001 (0.004) Loss 1.4954 (1.3704) Prec@1 64.844 (68.112) Prec@5 85.938 (86.799) Epoch: [73][740/10010] Time 0.314 (0.328) Data 0.001 (0.004) Loss 1.5767 (1.3708) Prec@1 67.188 (68.094) Prec@5 79.688 (86.787) Epoch: [73][750/10010] Time 0.334 (0.328) Data 0.000 (0.004) Loss 1.3466 (1.3704) Prec@1 64.844 (68.086) Prec@5 87.500 (86.793) Epoch: [73][760/10010] Time 0.323 (0.327) Data 0.001 (0.004) Loss 1.2798 (1.3705) Prec@1 66.406 (68.081) Prec@5 85.938 (86.793) Epoch: [73][770/10010] Time 0.336 (0.328) Data 0.001 (0.004) Loss 1.3495 (1.3703) Prec@1 70.312 (68.084) Prec@5 88.281 (86.787) Epoch: [73][780/10010] Time 0.318 (0.328) Data 0.001 (0.004) Loss 1.2204 (1.3698) Prec@1 69.531 (68.093) Prec@5 88.281 (86.799) Epoch: [73][790/10010] Time 0.317 (0.327) Data 0.001 (0.004) Loss 1.4140 (1.3695) Prec@1 68.750 (68.100) Prec@5 88.281 (86.798) Epoch: [73][800/10010] Time 0.331 (0.327) Data 0.001 (0.004) Loss 1.3908 (1.3695) Prec@1 69.531 (68.094) Prec@5 86.719 (86.802) Epoch: [73][810/10010] Time 0.334 (0.328) Data 0.001 (0.003) Loss 1.3474 (1.3694) Prec@1 68.750 (68.097) Prec@5 90.625 (86.815) Epoch: [73][820/10010] Time 0.328 (0.328) Data 0.001 (0.003) Loss 1.2168 (1.3689) Prec@1 75.000 (68.115) Prec@5 88.281 (86.813) Epoch: [73][830/10010] Time 0.326 (0.328) Data 0.001 (0.003) Loss 1.4838 (1.3699) Prec@1 67.188 (68.097) Prec@5 83.594 (86.802) Epoch: [73][840/10010] Time 0.318 (0.328) Data 0.000 (0.003) Loss 1.1629 (1.3698) Prec@1 74.219 (68.090) Prec@5 92.969 (86.806) Epoch: [73][850/10010] Time 0.317 (0.327) Data 0.000 (0.003) Loss 1.2771 (1.3707) Prec@1 71.875 (68.080) Prec@5 92.188 (86.784) Epoch: [73][860/10010] Time 0.329 (0.328) Data 0.000 (0.003) Loss 1.4933 (1.3707) Prec@1 65.625 (68.080) Prec@5 82.031 (86.776) Epoch: [73][870/10010] Time 0.331 (0.327) Data 0.000 (0.003) Loss 1.4902 (1.3710) Prec@1 66.406 (68.070) Prec@5 85.156 (86.776) Epoch: [73][880/10010] Time 0.340 (0.327) Data 0.000 (0.003) Loss 1.5333 (1.3704) Prec@1 64.062 (68.078) Prec@5 84.375 (86.794) Epoch: [73][890/10010] Time 0.329 (0.327) Data 0.000 (0.003) Loss 1.5063 (1.3708) Prec@1 65.625 (68.063) Prec@5 82.812 (86.784) Epoch: [73][900/10010] Time 0.330 (0.327) Data 0.001 (0.003) Loss 1.6227 (1.3711) Prec@1 64.062 (68.044) Prec@5 82.031 (86.784) Epoch: [73][910/10010] Time 0.327 (0.327) Data 0.001 (0.003) Loss 1.2730 (1.3708) Prec@1 74.219 (68.055) Prec@5 87.500 (86.791) Epoch: [73][920/10010] Time 0.328 (0.327) Data 0.001 (0.003) Loss 1.4890 (1.3704) Prec@1 67.188 (68.054) Prec@5 83.594 (86.793) Epoch: [73][930/10010] Time 0.323 (0.327) Data 0.000 (0.003) Loss 1.4284 (1.3710) Prec@1 68.750 (68.059) Prec@5 86.719 (86.784) Epoch: [73][940/10010] Time 0.318 (0.327) Data 0.001 (0.003) Loss 1.2867 (1.3710) Prec@1 70.312 (68.063) Prec@5 89.062 (86.786) Epoch: [73][950/10010] Time 0.335 (0.327) Data 0.001 (0.003) Loss 1.2254 (1.3710) Prec@1 67.969 (68.066) Prec@5 90.625 (86.797) Epoch: [73][960/10010] Time 0.336 (0.327) Data 0.000 (0.003) Loss 1.3534 (1.3710) Prec@1 67.188 (68.066) Prec@5 88.281 (86.798) Epoch: [73][970/10010] Time 0.337 (0.327) Data 0.000 (0.003) Loss 1.6225 (1.3707) Prec@1 57.031 (68.077) Prec@5 82.812 (86.806) Epoch: [73][980/10010] Time 0.318 (0.327) Data 0.001 (0.003) Loss 1.3704 (1.3703) Prec@1 70.312 (68.094) Prec@5 83.594 (86.801) Epoch: [73][990/10010] Time 0.322 (0.327) Data 0.000 (0.003) Loss 1.2326 (1.3706) Prec@1 65.625 (68.073) Prec@5 90.625 (86.802) Epoch: [73][1000/10010] Time 0.323 (0.327) Data 0.000 (0.003) Loss 1.2218 (1.3695) Prec@1 69.531 (68.093) Prec@5 86.719 (86.814) Epoch: [73][1010/10010] Time 0.316 (0.327) Data 0.001 (0.003) Loss 1.1084 (1.3695) Prec@1 75.781 (68.107) Prec@5 90.625 (86.814) Epoch: [73][1020/10010] Time 0.329 (0.327) Data 0.001 (0.003) Loss 1.4224 (1.3694) Prec@1 65.625 (68.090) Prec@5 87.500 (86.821) Epoch: [73][1030/10010] Time 0.307 (0.327) Data 0.000 (0.003) Loss 1.0718 (1.3682) Prec@1 76.562 (68.115) Prec@5 92.188 (86.832) Epoch: [73][1040/10010] Time 0.330 (0.327) Data 0.001 (0.003) Loss 1.3139 (1.3682) Prec@1 65.625 (68.108) Prec@5 87.500 (86.831) Epoch: [73][1050/10010] Time 0.315 (0.327) Data 0.000 (0.003) Loss 1.3871 (1.3685) Prec@1 67.969 (68.113) Prec@5 85.938 (86.827) Epoch: [73][1060/10010] Time 0.322 (0.327) Data 0.001 (0.003) Loss 1.2941 (1.3685) Prec@1 68.750 (68.103) Prec@5 89.844 (86.834) Epoch: [73][1070/10010] Time 0.324 (0.327) Data 0.001 (0.003) Loss 1.3813 (1.3686) Prec@1 64.844 (68.098) Prec@5 87.500 (86.834) Epoch: [73][1080/10010] Time 0.332 (0.327) Data 0.000 (0.003) Loss 1.3685 (1.3686) Prec@1 64.062 (68.101) Prec@5 86.719 (86.828) Epoch: [73][1090/10010] Time 0.328 (0.327) Data 0.001 (0.003) Loss 1.1904 (1.3683) Prec@1 71.875 (68.106) Prec@5 89.844 (86.830) Epoch: [73][1100/10010] Time 0.341 (0.327) Data 0.001 (0.003) Loss 1.5509 (1.3680) Prec@1 60.156 (68.106) Prec@5 83.594 (86.834) Epoch: [73][1110/10010] Time 0.329 (0.327) Data 0.001 (0.003) Loss 1.4595 (1.3685) Prec@1 58.594 (68.095) Prec@5 82.812 (86.816) Epoch: [73][1120/10010] Time 0.336 (0.327) Data 0.000 (0.003) Loss 1.2367 (1.3688) Prec@1 72.656 (68.088) Prec@5 89.062 (86.813) Epoch: [73][1130/10010] Time 0.321 (0.327) Data 0.000 (0.003) Loss 1.3000 (1.3684) Prec@1 68.750 (68.092) Prec@5 88.281 (86.822) Epoch: [73][1140/10010] Time 0.333 (0.327) Data 0.001 (0.003) Loss 1.6365 (1.3687) Prec@1 61.719 (68.093) Prec@5 82.812 (86.822) Epoch: [73][1150/10010] Time 0.323 (0.327) Data 0.000 (0.003) Loss 1.3366 (1.3686) Prec@1 67.969 (68.101) Prec@5 87.500 (86.830) Epoch: [73][1160/10010] Time 0.317 (0.327) Data 0.001 (0.003) Loss 1.2433 (1.3677) Prec@1 72.656 (68.122) Prec@5 87.500 (86.830) Epoch: [73][1170/10010] Time 0.332 (0.327) Data 0.001 (0.003) Loss 1.2936 (1.3684) Prec@1 69.531 (68.119) Prec@5 87.500 (86.817) Epoch: [73][1180/10010] Time 0.332 (0.327) Data 0.000 (0.003) Loss 1.2932 (1.3679) Prec@1 71.094 (68.131) Prec@5 87.500 (86.814) Epoch: [73][1190/10010] Time 0.334 (0.327) Data 0.001 (0.003) Loss 1.2345 (1.3683) Prec@1 71.875 (68.112) Prec@5 88.281 (86.814) Epoch: [73][1200/10010] Time 0.335 (0.327) Data 0.001 (0.003) Loss 1.3908 (1.3680) Prec@1 67.188 (68.131) Prec@5 85.938 (86.823) Epoch: [73][1210/10010] Time 0.323 (0.327) Data 0.001 (0.003) Loss 1.5417 (1.3678) Prec@1 63.281 (68.137) Prec@5 82.812 (86.828) Epoch: [73][1220/10010] Time 0.330 (0.327) Data 0.001 (0.003) Loss 1.3630 (1.3684) Prec@1 64.844 (68.118) Prec@5 87.500 (86.821) Epoch: [73][1230/10010] Time 0.314 (0.327) Data 0.001 (0.003) Loss 1.2878 (1.3686) Prec@1 64.844 (68.117) Prec@5 86.719 (86.820) Epoch: [73][1240/10010] Time 0.327 (0.327) Data 0.001 (0.003) Loss 1.3375 (1.3692) Prec@1 67.188 (68.108) Prec@5 83.594 (86.809) Epoch: [73][1250/10010] Time 0.336 (0.327) Data 0.001 (0.002) Loss 1.5441 (1.3688) Prec@1 62.500 (68.108) Prec@5 86.719 (86.818) Epoch: [73][1260/10010] Time 0.335 (0.327) Data 0.001 (0.002) Loss 1.5077 (1.3698) Prec@1 71.094 (68.099) Prec@5 85.156 (86.807) Epoch: [73][1270/10010] Time 0.314 (0.327) Data 0.001 (0.002) Loss 1.3293 (1.3698) Prec@1 70.312 (68.098) Prec@5 88.281 (86.810) Epoch: [73][1280/10010] Time 0.313 (0.327) Data 0.001 (0.002) Loss 1.4360 (1.3693) Prec@1 69.531 (68.109) Prec@5 83.594 (86.816) Epoch: [73][1290/10010] Time 0.333 (0.327) Data 0.001 (0.002) Loss 1.3025 (1.3689) Prec@1 67.188 (68.116) Prec@5 88.281 (86.825) Epoch: [73][1300/10010] Time 0.322 (0.327) Data 0.000 (0.002) Loss 1.2342 (1.3690) Prec@1 71.094 (68.112) Prec@5 88.281 (86.828) Epoch: [73][1310/10010] Time 0.319 (0.327) Data 0.000 (0.002) Loss 1.3972 (1.3692) Prec@1 67.969 (68.111) Prec@5 87.500 (86.828) Epoch: [73][1320/10010] Time 0.329 (0.327) Data 0.000 (0.002) Loss 1.1237 (1.3692) Prec@1 74.219 (68.109) Prec@5 92.188 (86.826) Epoch: [73][1330/10010] Time 0.328 (0.327) Data 0.000 (0.002) Loss 1.1855 (1.3693) Prec@1 74.219 (68.111) Prec@5 89.062 (86.825) Epoch: [73][1340/10010] Time 0.327 (0.327) Data 0.001 (0.002) Loss 1.1841 (1.3691) Prec@1 69.531 (68.111) Prec@5 89.844 (86.834) Epoch: [73][1350/10010] Time 0.336 (0.327) Data 0.001 (0.002) Loss 1.3270 (1.3694) Prec@1 68.750 (68.114) Prec@5 86.719 (86.829) Epoch: [73][1360/10010] Time 0.332 (0.327) Data 0.000 (0.002) Loss 1.3738 (1.3690) Prec@1 67.188 (68.123) Prec@5 86.719 (86.834) Epoch: [73][1370/10010] Time 0.317 (0.327) Data 0.001 (0.002) Loss 1.3900 (1.3690) Prec@1 65.625 (68.127) Prec@5 89.062 (86.836) Epoch: [73][1380/10010] Time 0.318 (0.327) Data 0.001 (0.002) Loss 1.6141 (1.3699) Prec@1 61.719 (68.119) Prec@5 82.812 (86.825) Epoch: [73][1390/10010] Time 0.319 (0.327) Data 0.000 (0.002) Loss 1.3745 (1.3702) Prec@1 69.531 (68.120) Prec@5 86.719 (86.818) Epoch: [73][1400/10010] Time 0.333 (0.327) Data 0.000 (0.002) Loss 1.3706 (1.3699) Prec@1 71.875 (68.126) Prec@5 85.156 (86.820) Epoch: [73][1410/10010] Time 0.339 (0.327) Data 0.001 (0.002) Loss 1.7105 (1.3702) Prec@1 65.625 (68.130) Prec@5 85.156 (86.811) Epoch: [73][1420/10010] Time 0.337 (0.327) Data 0.000 (0.002) Loss 1.5876 (1.3712) Prec@1 67.188 (68.127) Prec@5 84.375 (86.802) Epoch: [73][1430/10010] Time 0.325 (0.327) Data 0.000 (0.002) Loss 1.3489 (1.3715) Prec@1 64.062 (68.109) Prec@5 86.719 (86.800) Epoch: [73][1440/10010] Time 0.320 (0.327) Data 0.001 (0.002) Loss 1.5242 (1.3720) Prec@1 63.281 (68.092) Prec@5 85.156 (86.792) Epoch: [73][1450/10010] Time 0.329 (0.327) Data 0.000 (0.002) Loss 1.3795 (1.3720) Prec@1 64.844 (68.079) Prec@5 86.719 (86.793) /data/vision/torralba/deepscene/lib/anaconda2/lib/python2.7/site-packages/PIL/TiffImagePlugin.py:692: UserWarning: Possibly corrupt EXIF data. Expecting to read 2555904 bytes but only got 0. Skipping tag 0 "Skipping tag %s" % (size, len(data), tag)) Epoch: [73][1460/10010] Time 0.323 (0.327) Data 0.001 (0.002) Loss 1.2788 (1.3723) Prec@1 71.875 (68.079) Prec@5 87.500 (86.786) Epoch: [73][1470/10010] Time 0.315 (0.327) Data 0.001 (0.002) Loss 1.2493 (1.3724) Prec@1 68.750 (68.070) Prec@5 86.719 (86.782) Epoch: [73][1480/10010] Time 0.340 (0.327) Data 0.001 (0.002) Loss 1.4914 (1.3731) Prec@1 62.500 (68.052) Prec@5 85.938 (86.777) Epoch: [73][1490/10010] Time 0.324 (0.327) Data 0.001 (0.002) Loss 1.3240 (1.3727) Prec@1 71.094 (68.068) Prec@5 85.938 (86.781) Epoch: [73][1500/10010] Time 0.330 (0.327) Data 0.001 (0.002) Loss 1.2693 (1.3722) Prec@1 69.531 (68.094) Prec@5 90.625 (86.788) Epoch: [73][1510/10010] Time 0.328 (0.327) Data 0.000 (0.002) Loss 1.4700 (1.3719) Prec@1 64.844 (68.095) Prec@5 83.594 (86.792) Epoch: [73][1520/10010] Time 0.320 (0.327) Data 0.001 (0.002) Loss 1.3484 (1.3714) Prec@1 68.750 (68.104) Prec@5 84.375 (86.802) Epoch: [73][1530/10010] Time 0.329 (0.327) Data 0.001 (0.002) Loss 1.2333 (1.3713) Prec@1 73.438 (68.114) Prec@5 89.062 (86.803) Epoch: [73][1540/10010] Time 0.340 (0.327) Data 0.000 (0.002) Loss 1.5494 (1.3718) Prec@1 64.844 (68.095) Prec@5 82.812 (86.796) Epoch: [73][1550/10010] Time 0.329 (0.327) Data 0.000 (0.002) Loss 1.7004 (1.3717) Prec@1 59.375 (68.100) Prec@5 81.250 (86.796) Epoch: [73][1560/10010] Time 0.341 (0.327) Data 0.000 (0.002) Loss 0.9600 (1.3718) Prec@1 78.906 (68.101) Prec@5 93.750 (86.792) Epoch: [73][1570/10010] Time 0.321 (0.327) Data 0.001 (0.002) Loss 1.4141 (1.3719) Prec@1 65.625 (68.097) Prec@5 88.281 (86.786) Epoch: [73][1580/10010] Time 0.335 (0.327) Data 0.001 (0.002) Loss 1.2023 (1.3717) Prec@1 71.875 (68.105) Prec@5 86.719 (86.783) Epoch: [73][1590/10010] Time 0.325 (0.327) Data 0.001 (0.002) Loss 1.1954 (1.3718) Prec@1 71.875 (68.102) Prec@5 86.719 (86.778) Epoch: [73][1600/10010] Time 0.322 (0.327) Data 0.000 (0.002) Loss 1.3645 (1.3716) Prec@1 67.969 (68.101) Prec@5 87.500 (86.780) Epoch: [73][1610/10010] Time 0.313 (0.327) Data 0.000 (0.002) Loss 1.3178 (1.3718) Prec@1 67.188 (68.090) Prec@5 86.719 (86.770) Epoch: [73][1620/10010] Time 0.335 (0.327) Data 0.001 (0.002) Loss 1.4211 (1.3710) Prec@1 62.500 (68.107) Prec@5 86.719 (86.779) Epoch: [73][1630/10010] Time 0.318 (0.327) Data 0.001 (0.002) Loss 1.3306 (1.3710) Prec@1 67.188 (68.098) Prec@5 85.938 (86.775) Epoch: [73][1640/10010] Time 0.341 (0.327) Data 0.000 (0.002) Loss 1.2093 (1.3708) Prec@1 66.406 (68.100) Prec@5 85.938 (86.776) Epoch: [73][1650/10010] Time 0.338 (0.327) Data 0.000 (0.002) Loss 1.6366 (1.3712) Prec@1 61.719 (68.081) Prec@5 82.812 (86.778) Epoch: [73][1660/10010] Time 0.333 (0.327) Data 0.001 (0.002) Loss 1.4189 (1.3711) Prec@1 66.406 (68.084) Prec@5 86.719 (86.778) Epoch: [73][1670/10010] Time 0.336 (0.327) Data 0.001 (0.002) Loss 1.4307 (1.3711) Prec@1 60.938 (68.085) Prec@5 88.281 (86.780) Epoch: [73][1680/10010] Time 0.320 (0.327) Data 0.001 (0.002) Loss 1.2702 (1.3710) Prec@1 67.188 (68.087) Prec@5 89.844 (86.784) Epoch: [73][1690/10010] Time 0.333 (0.327) Data 0.000 (0.002) Loss 1.7768 (1.3711) Prec@1 55.469 (68.075) Prec@5 79.688 (86.781) Epoch: [73][1700/10010] Time 0.334 (0.327) Data 0.000 (0.002) Loss 1.2641 (1.3711) Prec@1 71.875 (68.079) Prec@5 90.625 (86.778) Epoch: [73][1710/10010] Time 0.329 (0.327) Data 0.001 (0.002) Loss 1.4265 (1.3711) Prec@1 67.969 (68.085) Prec@5 86.719 (86.777) Epoch: [73][1720/10010] Time 0.316 (0.327) Data 0.001 (0.002) Loss 1.2618 (1.3714) Prec@1 72.656 (68.085) Prec@5 87.500 (86.772) Epoch: [73][1730/10010] Time 0.316 (0.327) Data 0.000 (0.002) Loss 1.2970 (1.3717) Prec@1 67.188 (68.088) Prec@5 88.281 (86.770) Epoch: [73][1740/10010] Time 0.324 (0.327) Data 0.001 (0.002) Loss 1.7765 (1.3720) Prec@1 61.719 (68.085) Prec@5 83.594 (86.769) Epoch: [73][1750/10010] Time 0.317 (0.327) Data 0.000 (0.002) Loss 1.8536 (1.3719) Prec@1 58.594 (68.088) Prec@5 77.344 (86.769) Epoch: [73][1760/10010] Time 0.337 (0.327) Data 0.000 (0.002) Loss 1.1568 (1.3718) Prec@1 71.094 (68.077) Prec@5 92.969 (86.768) Epoch: [73][1770/10010] Time 0.326 (0.327) Data 0.000 (0.002) Loss 1.2145 (1.3719) Prec@1 68.750 (68.074) Prec@5 89.062 (86.766) Epoch: [73][1780/10010] Time 0.334 (0.327) Data 0.000 (0.002) Loss 1.4870 (1.3716) Prec@1 67.188 (68.078) Prec@5 86.719 (86.776) Epoch: [73][1790/10010] Time 0.325 (0.327) Data 0.001 (0.002) Loss 1.3987 (1.3713) Prec@1 65.625 (68.082) Prec@5 83.594 (86.777) Epoch: [73][1800/10010] Time 0.335 (0.327) Data 0.001 (0.002) Loss 1.1932 (1.3709) Prec@1 67.969 (68.086) Prec@5 92.188 (86.786) Epoch: [73][1810/10010] Time 0.318 (0.327) Data 0.000 (0.002) Loss 1.2051 (1.3707) Prec@1 75.781 (68.090) Prec@5 90.625 (86.793) Epoch: [73][1820/10010] Time 0.325 (0.327) Data 0.001 (0.002) Loss 1.3130 (1.3706) Prec@1 67.969 (68.095) Prec@5 85.938 (86.791) Epoch: [73][1830/10010] Time 0.336 (0.327) Data 0.001 (0.002) Loss 1.3778 (1.3707) Prec@1 62.500 (68.092) Prec@5 89.844 (86.786) Epoch: [73][1840/10010] Time 0.329 (0.327) Data 0.000 (0.002) Loss 1.0901 (1.3707) Prec@1 75.000 (68.093) Prec@5 92.188 (86.786) Epoch: [73][1850/10010] Time 0.330 (0.327) Data 0.001 (0.002) Loss 1.5357 (1.3708) Prec@1 64.844 (68.094) Prec@5 84.375 (86.783) Epoch: [73][1860/10010] Time 0.337 (0.327) Data 0.001 (0.002) Loss 1.4734 (1.3706) Prec@1 65.625 (68.102) Prec@5 87.500 (86.785) Epoch: [73][1870/10010] Time 0.321 (0.327) Data 0.001 (0.002) Loss 1.1098 (1.3710) Prec@1 72.656 (68.093) Prec@5 89.062 (86.779) Epoch: [73][1880/10010] Time 0.337 (0.327) Data 0.001 (0.002) Loss 1.2626 (1.3708) Prec@1 71.875 (68.102) Prec@5 89.062 (86.777) Epoch: [73][1890/10010] Time 0.325 (0.327) Data 0.000 (0.002) Loss 1.3589 (1.3709) Prec@1 71.875 (68.105) Prec@5 87.500 (86.777) Epoch: [73][1900/10010] Time 0.340 (0.327) Data 0.000 (0.002) Loss 1.2137 (1.3703) Prec@1 67.969 (68.114) Prec@5 89.844 (86.785) Epoch: [73][1910/10010] Time 0.325 (0.327) Data 0.001 (0.002) Loss 1.4135 (1.3707) Prec@1 61.719 (68.112) Prec@5 89.844 (86.778) Epoch: [73][1920/10010] Time 0.319 (0.327) Data 0.001 (0.002) Loss 1.5219 (1.3706) Prec@1 62.500 (68.107) Prec@5 80.469 (86.782) Epoch: [73][1930/10010] Time 0.331 (0.327) Data 0.000 (0.002) Loss 1.4531 (1.3707) Prec@1 68.750 (68.109) Prec@5 82.031 (86.775) Epoch: [73][1940/10010] Time 0.338 (0.327) Data 0.001 (0.002) Loss 1.3625 (1.3707) Prec@1 65.625 (68.111) Prec@5 87.500 (86.774) Epoch: [73][1950/10010] Time 0.330 (0.327) Data 0.001 (0.002) Loss 1.4012 (1.3709) Prec@1 63.281 (68.101) Prec@5 84.375 (86.771) Epoch: [73][1960/10010] Time 0.333 (0.327) Data 0.001 (0.002) Loss 1.3729 (1.3710) Prec@1 68.750 (68.097) Prec@5 85.938 (86.771) Epoch: [73][1970/10010] Time 0.318 (0.327) Data 0.000 (0.002) Loss 0.9661 (1.3706) Prec@1 71.094 (68.103) Prec@5 93.750 (86.773) Epoch: [73][1980/10010] Time 0.336 (0.327) Data 0.001 (0.002) Loss 1.2784 (1.3702) Prec@1 66.406 (68.112) Prec@5 90.625 (86.778) Epoch: [73][1990/10010] Time 0.338 (0.327) Data 0.001 (0.002) Loss 1.0867 (1.3698) Prec@1 75.000 (68.122) Prec@5 92.188 (86.785) Epoch: [73][2000/10010] Time 0.313 (0.327) Data 0.001 (0.002) Loss 1.4918 (1.3698) Prec@1 63.281 (68.125) Prec@5 83.594 (86.785) Epoch: [73][2010/10010] Time 0.326 (0.327) Data 0.000 (0.002) Loss 1.4398 (1.3695) Prec@1 67.188 (68.130) Prec@5 83.594 (86.792) Epoch: [73][2020/10010] Time 0.334 (0.327) Data 0.000 (0.002) Loss 1.6861 (1.3696) Prec@1 60.156 (68.128) Prec@5 80.469 (86.788) Epoch: [73][2030/10010] Time 0.331 (0.327) Data 0.001 (0.002) Loss 1.6734 (1.3701) Prec@1 64.844 (68.117) Prec@5 81.250 (86.778) Epoch: [73][2040/10010] Time 0.335 (0.327) Data 0.001 (0.002) Loss 1.2843 (1.3699) Prec@1 68.750 (68.119) Prec@5 85.938 (86.781) Epoch: [73][2050/10010] Time 0.329 (0.327) Data 0.001 (0.002) Loss 1.5889 (1.3701) Prec@1 64.062 (68.118) Prec@5 85.938 (86.779) Epoch: [73][2060/10010] Time 0.342 (0.327) Data 0.000 (0.002) Loss 1.2668 (1.3696) Prec@1 72.656 (68.131) Prec@5 87.500 (86.785) Epoch: [73][2070/10010] Time 0.320 (0.327) Data 0.001 (0.002) Loss 1.3868 (1.3693) Prec@1 66.406 (68.137) Prec@5 85.938 (86.793) Epoch: [73][2080/10010] Time 0.319 (0.327) Data 0.001 (0.002) Loss 1.6379 (1.3696) Prec@1 62.500 (68.132) Prec@5 81.250 (86.790) Epoch: [73][2090/10010] Time 0.327 (0.327) Data 0.001 (0.002) Loss 1.5901 (1.3696) Prec@1 66.406 (68.139) Prec@5 84.375 (86.792) Epoch: [73][2100/10010] Time 0.321 (0.327) Data 0.000 (0.002) Loss 1.2098 (1.3696) Prec@1 70.312 (68.137) Prec@5 90.625 (86.791) Epoch: [73][2110/10010] Time 0.333 (0.327) Data 0.001 (0.002) Loss 1.2890 (1.3697) Prec@1 71.094 (68.142) Prec@5 88.281 (86.791) Epoch: [73][2120/10010] Time 0.327 (0.327) Data 0.000 (0.002) Loss 1.3351 (1.3700) Prec@1 69.531 (68.142) Prec@5 89.844 (86.784) Epoch: [73][2130/10010] Time 0.327 (0.327) Data 0.000 (0.002) Loss 1.4406 (1.3701) Prec@1 63.281 (68.141) Prec@5 85.938 (86.784) Epoch: [73][2140/10010] Time 0.320 (0.327) Data 0.001 (0.002) Loss 1.4515 (1.3700) Prec@1 63.281 (68.141) Prec@5 83.594 (86.785) Epoch: [73][2150/10010] Time 0.328 (0.327) Data 0.000 (0.002) Loss 1.3032 (1.3698) Prec@1 74.219 (68.139) Prec@5 88.281 (86.790) Epoch: [73][2160/10010] Time 0.320 (0.327) Data 0.000 (0.002) Loss 1.1111 (1.3697) Prec@1 75.781 (68.140) Prec@5 89.844 (86.795) Epoch: [73][2170/10010] Time 0.330 (0.327) Data 0.001 (0.002) Loss 1.4316 (1.3696) Prec@1 67.969 (68.141) Prec@5 87.500 (86.794) Epoch: [73][2180/10010] Time 0.318 (0.327) Data 0.001 (0.002) Loss 1.6349 (1.3698) Prec@1 57.031 (68.130) Prec@5 81.250 (86.793) Epoch: [73][2190/10010] Time 0.336 (0.327) Data 0.001 (0.002) Loss 1.3451 (1.3698) Prec@1 69.531 (68.128) Prec@5 85.938 (86.795) Epoch: [73][2200/10010] Time 0.321 (0.327) Data 0.000 (0.002) Loss 1.3573 (1.3702) Prec@1 63.281 (68.116) Prec@5 87.500 (86.790) Epoch: [73][2210/10010] Time 0.322 (0.327) Data 0.000 (0.002) Loss 1.2896 (1.3705) Prec@1 68.750 (68.114) Prec@5 86.719 (86.788) Epoch: [73][2220/10010] Time 0.317 (0.327) Data 0.000 (0.002) Loss 1.1480 (1.3706) Prec@1 75.000 (68.113) Prec@5 89.062 (86.789) Epoch: [73][2230/10010] Time 0.315 (0.327) Data 0.000 (0.002) Loss 1.1266 (1.3707) Prec@1 72.656 (68.110) Prec@5 89.062 (86.785) Epoch: [73][2240/10010] Time 0.327 (0.327) Data 0.001 (0.002) Loss 1.4055 (1.3712) Prec@1 67.969 (68.108) Prec@5 87.500 (86.780) Epoch: [73][2250/10010] Time 0.339 (0.327) Data 0.001 (0.002) Loss 1.4230 (1.3715) Prec@1 64.062 (68.098) Prec@5 89.062 (86.774) Epoch: [73][2260/10010] Time 0.334 (0.327) Data 0.001 (0.002) Loss 1.1463 (1.3713) Prec@1 71.875 (68.101) Prec@5 89.844 (86.775) Epoch: [73][2270/10010] Time 0.331 (0.327) Data 0.001 (0.002) Loss 1.3553 (1.3714) Prec@1 69.531 (68.104) Prec@5 85.156 (86.770) Epoch: [73][2280/10010] Time 0.318 (0.327) Data 0.001 (0.002) Loss 1.2034 (1.3714) Prec@1 74.219 (68.103) Prec@5 87.500 (86.769) Epoch: [73][2290/10010] Time 0.322 (0.327) Data 0.001 (0.002) Loss 1.2841 (1.3716) Prec@1 70.312 (68.096) Prec@5 86.719 (86.764) Epoch: [73][2300/10010] Time 0.330 (0.327) Data 0.001 (0.002) Loss 1.8008 (1.3718) Prec@1 59.375 (68.094) Prec@5 80.469 (86.755) Epoch: [73][2310/10010] Time 0.321 (0.327) Data 0.001 (0.002) Loss 1.1599 (1.3716) Prec@1 71.094 (68.096) Prec@5 89.844 (86.757) Epoch: [73][2320/10010] Time 0.312 (0.327) Data 0.001 (0.002) Loss 1.4508 (1.3715) Prec@1 67.969 (68.092) Prec@5 82.812 (86.754) Epoch: [73][2330/10010] Time 0.319 (0.327) Data 0.000 (0.002) Loss 1.2774 (1.3715) Prec@1 67.969 (68.092) Prec@5 89.844 (86.758) Epoch: [73][2340/10010] Time 0.335 (0.327) Data 0.001 (0.002) Loss 1.4114 (1.3715) Prec@1 67.969 (68.093) Prec@5 88.281 (86.758) Epoch: [73][2350/10010] Time 0.329 (0.327) Data 0.000 (0.002) Loss 1.3321 (1.3712) Prec@1 74.219 (68.103) Prec@5 89.062 (86.764) Epoch: [73][2360/10010] Time 0.318 (0.327) Data 0.001 (0.002) Loss 1.3938 (1.3711) Prec@1 67.188 (68.103) Prec@5 83.594 (86.766) Epoch: [73][2370/10010] Time 0.328 (0.327) Data 0.000 (0.002) Loss 1.4577 (1.3710) Prec@1 63.281 (68.107) Prec@5 88.281 (86.769) Epoch: [73][2380/10010] Time 0.313 (0.327) Data 0.000 (0.002) Loss 1.3428 (1.3713) Prec@1 65.625 (68.100) Prec@5 89.844 (86.764) /data/vision/torralba/deepscene/lib/anaconda2/lib/python2.7/site-packages/PIL/TiffImagePlugin.py:692: UserWarning: Possibly corrupt EXIF data. Expecting to read 2555904 bytes but only got 0. Skipping tag 0 "Skipping tag %s" % (size, len(data), tag)) Epoch: [73][2390/10010] Time 0.328 (0.327) Data 0.000 (0.002) Loss 1.6629 (1.3713) Prec@1 61.719 (68.097) Prec@5 83.594 (86.766) Epoch: [73][2400/10010] Time 0.331 (0.327) Data 0.001 (0.002) Loss 1.2779 (1.3711) Prec@1 64.062 (68.094) Prec@5 88.281 (86.768) Epoch: [73][2410/10010] Time 0.314 (0.327) Data 0.000 (0.002) Loss 1.4325 (1.3711) Prec@1 65.625 (68.099) Prec@5 85.938 (86.773) Epoch: [73][2420/10010] Time 0.333 (0.327) Data 0.000 (0.002) Loss 1.1952 (1.3709) Prec@1 71.875 (68.104) Prec@5 89.844 (86.779) Epoch: [73][2430/10010] Time 0.333 (0.327) Data 0.001 (0.002) Loss 1.4353 (1.3708) Prec@1 64.844 (68.104) Prec@5 85.156 (86.777) /data/vision/torralba/deepscene/lib/anaconda2/lib/python2.7/site-packages/PIL/TiffImagePlugin.py:692: UserWarning: Possibly corrupt EXIF data. Expecting to read 1835008 bytes but only got 0. Skipping tag 0 "Skipping tag %s" % (size, len(data), tag)) Epoch: [73][2440/10010] Time 0.324 (0.327) Data 0.000 (0.002) Loss 1.4388 (1.3705) Prec@1 66.406 (68.117) Prec@5 83.594 (86.779) Epoch: [73][2450/10010] Time 0.314 (0.327) Data 0.001 (0.002) Loss 1.2443 (1.3704) Prec@1 72.656 (68.121) Prec@5 87.500 (86.778) Epoch: [73][2460/10010] Time 0.334 (0.327) Data 0.001 (0.002) Loss 1.4589 (1.3707) Prec@1 67.969 (68.113) Prec@5 86.719 (86.776) Epoch: [73][2470/10010] Time 0.319 (0.327) Data 0.001 (0.002) Loss 1.5063 (1.3707) Prec@1 67.969 (68.118) Prec@5 85.938 (86.777) Epoch: [73][2480/10010] Time 0.328 (0.327) Data 0.001 (0.002) Loss 1.5203 (1.3705) Prec@1 61.719 (68.124) Prec@5 77.344 (86.776) Epoch: [73][2490/10010] Time 0.322 (0.327) Data 0.000 (0.002) Loss 1.1050 (1.3705) Prec@1 68.750 (68.126) Prec@5 92.969 (86.776) Epoch: [73][2500/10010] Time 0.316 (0.327) Data 0.000 (0.002) Loss 1.1443 (1.3705) Prec@1 69.531 (68.124) Prec@5 89.062 (86.777) Epoch: [73][2510/10010] Time 0.322 (0.327) Data 0.001 (0.002) Loss 1.4056 (1.3702) Prec@1 63.281 (68.129) Prec@5 85.938 (86.784) Epoch: [73][2520/10010] Time 0.318 (0.327) Data 0.001 (0.002) Loss 1.2980 (1.3701) Prec@1 72.656 (68.135) Prec@5 88.281 (86.786) Epoch: [73][2530/10010] Time 0.340 (0.327) Data 0.000 (0.002) Loss 1.2417 (1.3701) Prec@1 73.438 (68.132) Prec@5 88.281 (86.787) Epoch: [73][2540/10010] Time 0.326 (0.327) Data 0.000 (0.002) Loss 1.2921 (1.3702) Prec@1 70.312 (68.130) Prec@5 88.281 (86.781) Epoch: [73][2550/10010] Time 0.318 (0.327) Data 0.001 (0.002) Loss 1.3273 (1.3704) Prec@1 70.312 (68.129) Prec@5 90.625 (86.780) Epoch: [73][2560/10010] Time 0.318 (0.327) Data 0.000 (0.002) Loss 1.4860 (1.3704) Prec@1 64.844 (68.122) Prec@5 86.719 (86.781) Epoch: [73][2570/10010] Time 0.334 (0.327) Data 0.000 (0.002) Loss 1.5534 (1.3705) Prec@1 67.188 (68.125) Prec@5 85.156 (86.777) Epoch: [73][2580/10010] Time 0.322 (0.327) Data 0.000 (0.002) Loss 1.2742 (1.3700) Prec@1 67.969 (68.138) Prec@5 88.281 (86.781) Epoch: [73][2590/10010] Time 0.331 (0.327) Data 0.001 (0.002) Loss 1.1905 (1.3701) Prec@1 73.438 (68.142) Prec@5 91.406 (86.785) Epoch: [73][2600/10010] Time 0.321 (0.327) Data 0.000 (0.002) Loss 1.4811 (1.3698) Prec@1 65.625 (68.148) Prec@5 86.719 (86.789) Epoch: [73][2610/10010] Time 0.337 (0.327) Data 0.000 (0.002) Loss 1.2077 (1.3700) Prec@1 72.656 (68.146) Prec@5 89.062 (86.785) Epoch: [73][2620/10010] Time 0.320 (0.327) Data 0.000 (0.002) Loss 1.5901 (1.3701) Prec@1 68.750 (68.143) Prec@5 78.125 (86.780) Epoch: [73][2630/10010] Time 0.335 (0.327) Data 0.001 (0.002) Loss 1.3298 (1.3704) Prec@1 70.312 (68.144) Prec@5 87.500 (86.777) Epoch: [73][2640/10010] Time 0.336 (0.327) Data 0.001 (0.002) Loss 1.5058 (1.3704) Prec@1 60.156 (68.142) Prec@5 85.938 (86.778) Epoch: [73][2650/10010] Time 0.337 (0.327) Data 0.000 (0.002) Loss 1.3632 (1.3706) Prec@1 67.188 (68.136) Prec@5 89.062 (86.777) Epoch: [73][2660/10010] Time 0.317 (0.327) Data 0.000 (0.001) Loss 1.5429 (1.3707) Prec@1 65.625 (68.128) Prec@5 84.375 (86.775) Epoch: [73][2670/10010] Time 0.333 (0.326) Data 0.001 (0.001) Loss 1.1533 (1.3706) Prec@1 73.438 (68.138) Prec@5 89.844 (86.775) Epoch: [73][2680/10010] Time 0.315 (0.327) Data 0.001 (0.001) Loss 1.4208 (1.3709) Prec@1 69.531 (68.136) Prec@5 84.375 (86.773) Epoch: [73][2690/10010] Time 0.334 (0.327) Data 0.001 (0.001) Loss 1.3098 (1.3711) Prec@1 70.312 (68.133) Prec@5 87.500 (86.770) Epoch: [73][2700/10010] Time 0.318 (0.327) Data 0.001 (0.001) Loss 1.4814 (1.3710) Prec@1 66.406 (68.137) Prec@5 83.594 (86.772) Epoch: [73][2710/10010] Time 0.320 (0.326) Data 0.001 (0.001) Loss 1.3163 (1.3715) Prec@1 67.188 (68.126) Prec@5 87.500 (86.766) Epoch: [73][2720/10010] Time 0.318 (0.326) Data 0.000 (0.001) Loss 1.3221 (1.3717) Prec@1 71.875 (68.124) Prec@5 85.156 (86.761) Epoch: [73][2730/10010] Time 0.333 (0.326) Data 0.001 (0.001) Loss 1.3435 (1.3718) Prec@1 69.531 (68.127) Prec@5 85.156 (86.758) Epoch: [73][2740/10010] Time 0.323 (0.326) Data 0.000 (0.001) Loss 1.1190 (1.3718) Prec@1 70.312 (68.124) Prec@5 93.750 (86.762) Epoch: [73][2750/10010] Time 0.328 (0.326) Data 0.001 (0.001) Loss 1.3215 (1.3718) Prec@1 67.188 (68.125) Prec@5 85.156 (86.761) Epoch: [73][2760/10010] Time 0.334 (0.326) Data 0.001 (0.001) Loss 1.2244 (1.3719) Prec@1 74.219 (68.119) Prec@5 85.156 (86.759) Epoch: [73][2770/10010] Time 0.316 (0.326) Data 0.001 (0.001) Loss 1.6216 (1.3719) Prec@1 60.938 (68.118) Prec@5 82.031 (86.759) Epoch: [73][2780/10010] Time 0.335 (0.326) Data 0.000 (0.001) Loss 1.3962 (1.3717) Prec@1 71.094 (68.124) Prec@5 86.719 (86.766) Epoch: [73][2790/10010] Time 0.320 (0.326) Data 0.001 (0.001) Loss 1.1761 (1.3718) Prec@1 69.531 (68.114) Prec@5 86.719 (86.761) Epoch: [73][2800/10010] Time 0.329 (0.326) Data 0.000 (0.001) Loss 1.4016 (1.3716) Prec@1 71.094 (68.123) Prec@5 88.281 (86.764) Epoch: [73][2810/10010] Time 0.339 (0.327) Data 0.001 (0.001) Loss 1.2790 (1.3713) Prec@1 71.094 (68.129) Prec@5 86.719 (86.766) Epoch: [73][2820/10010] Time 0.340 (0.326) Data 0.000 (0.001) Loss 1.3346 (1.3708) Prec@1 73.438 (68.136) Prec@5 88.281 (86.771) Epoch: [73][2830/10010] Time 0.333 (0.327) Data 0.000 (0.001) Loss 1.4778 (1.3708) Prec@1 61.719 (68.134) Prec@5 82.812 (86.770) Epoch: [73][2840/10010] Time 0.311 (0.327) Data 0.001 (0.001) Loss 1.2665 (1.3708) Prec@1 73.438 (68.138) Prec@5 88.281 (86.772) Epoch: [73][2850/10010] Time 0.319 (0.326) Data 0.001 (0.001) Loss 1.2117 (1.3709) Prec@1 72.656 (68.136) Prec@5 84.375 (86.764) Epoch: [73][2860/10010] Time 0.315 (0.326) Data 0.001 (0.001) Loss 1.3570 (1.3711) Prec@1 69.531 (68.133) Prec@5 85.156 (86.762) Epoch: [73][2870/10010] Time 0.336 (0.326) Data 0.000 (0.001) Loss 1.4364 (1.3711) Prec@1 64.844 (68.136) Prec@5 86.719 (86.763) Epoch: [73][2880/10010] Time 0.323 (0.327) Data 0.001 (0.001) Loss 1.4297 (1.3711) Prec@1 66.406 (68.135) Prec@5 86.719 (86.763) Epoch: [73][2890/10010] Time 0.337 (0.327) Data 0.001 (0.001) Loss 1.3044 (1.3712) Prec@1 72.656 (68.137) Prec@5 85.156 (86.761) Epoch: [73][2900/10010] Time 0.321 (0.327) Data 0.001 (0.001) Loss 1.0755 (1.3709) Prec@1 74.219 (68.145) Prec@5 91.406 (86.766) Epoch: [73][2910/10010] Time 0.316 (0.326) Data 0.000 (0.001) Loss 1.1279 (1.3708) Prec@1 68.750 (68.146) Prec@5 89.844 (86.766) Epoch: [73][2920/10010] Time 0.331 (0.327) Data 0.001 (0.001) Loss 1.0455 (1.3706) Prec@1 77.344 (68.147) Prec@5 91.406 (86.770) Epoch: [73][2930/10010] Time 0.337 (0.327) Data 0.001 (0.001) Loss 1.2955 (1.3708) Prec@1 70.312 (68.141) Prec@5 87.500 (86.770) Epoch: [73][2940/10010] Time 0.320 (0.327) Data 0.001 (0.001) Loss 1.4296 (1.3708) Prec@1 64.062 (68.140) Prec@5 84.375 (86.769) Epoch: [73][2950/10010] Time 0.325 (0.326) Data 0.001 (0.001) Loss 1.3952 (1.3708) Prec@1 69.531 (68.140) Prec@5 89.844 (86.771) Epoch: [73][2960/10010] Time 0.330 (0.327) Data 0.000 (0.001) Loss 1.2608 (1.3707) Prec@1 69.531 (68.137) Prec@5 87.500 (86.772) Epoch: [73][2970/10010] Time 0.340 (0.327) Data 0.000 (0.001) Loss 1.4018 (1.3706) Prec@1 66.406 (68.138) Prec@5 85.156 (86.772) Epoch: [73][2980/10010] Time 0.330 (0.327) Data 0.001 (0.001) Loss 1.4416 (1.3709) Prec@1 64.062 (68.130) Prec@5 85.156 (86.766) Epoch: [73][2990/10010] Time 0.334 (0.327) Data 0.000 (0.001) Loss 1.4737 (1.3713) Prec@1 62.500 (68.122) Prec@5 82.812 (86.761) Epoch: [73][3000/10010] Time 0.334 (0.327) Data 0.001 (0.001) Loss 1.2886 (1.3714) Prec@1 67.969 (68.119) Prec@5 85.938 (86.758) Epoch: [73][3010/10010] Time 0.325 (0.327) Data 0.001 (0.001) Loss 1.2404 (1.3712) Prec@1 69.531 (68.119) Prec@5 88.281 (86.763) Epoch: [73][3020/10010] Time 0.331 (0.327) Data 0.001 (0.001) Loss 1.2941 (1.3714) Prec@1 72.656 (68.118) Prec@5 88.281 (86.763) Epoch: [73][3030/10010] Time 0.332 (0.327) Data 0.000 (0.001) Loss 1.1819 (1.3712) Prec@1 73.438 (68.126) Prec@5 89.844 (86.767) Epoch: [73][3040/10010] Time 0.335 (0.327) Data 0.000 (0.001) Loss 1.2855 (1.3709) Prec@1 72.656 (68.129) Prec@5 89.062 (86.771) Epoch: [73][3050/10010] Time 0.322 (0.327) Data 0.000 (0.001) Loss 1.3612 (1.3710) Prec@1 67.188 (68.126) Prec@5 87.500 (86.771) Epoch: [73][3060/10010] Time 0.316 (0.327) Data 0.001 (0.001) Loss 1.2115 (1.3707) Prec@1 74.219 (68.133) Prec@5 92.969 (86.776) Epoch: [73][3070/10010] Time 0.335 (0.327) Data 0.000 (0.001) Loss 1.4895 (1.3707) Prec@1 66.406 (68.137) Prec@5 82.812 (86.775) Epoch: [73][3080/10010] Time 0.320 (0.327) Data 0.000 (0.001) Loss 1.3555 (1.3707) Prec@1 68.750 (68.141) Prec@5 87.500 (86.774) Epoch: [73][3090/10010] Time 0.338 (0.327) Data 0.001 (0.001) Loss 1.3856 (1.3708) Prec@1 71.875 (68.137) Prec@5 86.719 (86.771) Epoch: [73][3100/10010] Time 0.317 (0.327) Data 0.001 (0.001) Loss 1.4334 (1.3708) Prec@1 68.750 (68.143) Prec@5 84.375 (86.770) Epoch: [73][3110/10010] Time 0.310 (0.327) Data 0.000 (0.001) Loss 1.5059 (1.3709) Prec@1 67.969 (68.142) Prec@5 86.719 (86.767) Epoch: [73][3120/10010] Time 0.313 (0.327) Data 0.001 (0.001) Loss 1.5658 (1.3710) Prec@1 69.531 (68.139) Prec@5 85.156 (86.764) Epoch: [73][3130/10010] Time 0.315 (0.326) Data 0.000 (0.001) Loss 1.2488 (1.3710) Prec@1 70.312 (68.143) Prec@5 89.062 (86.765) Epoch: [73][3140/10010] Time 0.322 (0.326) Data 0.001 (0.001) Loss 1.7481 (1.3709) Prec@1 59.375 (68.140) Prec@5 81.250 (86.768) Epoch: [73][3150/10010] Time 0.309 (0.326) Data 0.001 (0.001) Loss 1.6993 (1.3713) Prec@1 65.625 (68.133) Prec@5 82.031 (86.760) Epoch: [73][3160/10010] Time 0.321 (0.326) Data 0.001 (0.001) Loss 1.4450 (1.3715) Prec@1 67.188 (68.130) Prec@5 89.844 (86.761) Epoch: [73][3170/10010] Time 0.317 (0.326) Data 0.000 (0.001) Loss 1.4596 (1.3715) Prec@1 67.969 (68.127) Prec@5 85.156 (86.761) /data/vision/torralba/deepscene/lib/anaconda2/lib/python2.7/site-packages/PIL/TiffImagePlugin.py:709: UserWarning: Corrupt EXIF data. Expecting to read 4 bytes but only got 0. warnings.warn(str(msg)) Epoch: [73][3180/10010] Time 0.328 (0.326) Data 0.000 (0.001) Loss 1.3524 (1.3716) Prec@1 64.844 (68.127) Prec@5 86.719 (86.757) Epoch: [73][3190/10010] Time 0.336 (0.326) Data 0.001 (0.001) Loss 1.4015 (1.3714) Prec@1 60.156 (68.131) Prec@5 88.281 (86.761) Epoch: [73][3200/10010] Time 0.327 (0.326) Data 0.001 (0.001) Loss 1.7549 (1.3717) Prec@1 62.500 (68.128) Prec@5 80.469 (86.754) Epoch: [73][3210/10010] Time 0.330 (0.326) Data 0.000 (0.001) Loss 1.2195 (1.3717) Prec@1 68.750 (68.127) Prec@5 89.844 (86.755) Epoch: [73][3220/10010] Time 0.329 (0.326) Data 0.001 (0.001) Loss 1.2811 (1.3719) Prec@1 70.312 (68.125) Prec@5 91.406 (86.754) Epoch: [73][3230/10010] Time 0.317 (0.326) Data 0.001 (0.001) Loss 1.4988 (1.3717) Prec@1 67.969 (68.123) Prec@5 81.250 (86.756) Epoch: [73][3240/10010] Time 0.319 (0.326) Data 0.001 (0.001) Loss 1.1218 (1.3715) Prec@1 71.875 (68.123) Prec@5 89.844 (86.760) Epoch: [73][3250/10010] Time 0.321 (0.326) Data 0.000 (0.001) Loss 1.4547 (1.3715) Prec@1 68.750 (68.125) Prec@5 85.156 (86.760) Epoch: [73][3260/10010] Time 0.329 (0.326) Data 0.001 (0.001) Loss 1.6049 (1.3715) Prec@1 65.625 (68.128) Prec@5 81.250 (86.759) Epoch: [73][3270/10010] Time 0.325 (0.326) Data 0.001 (0.001) Loss 1.5946 (1.3713) Prec@1 61.719 (68.130) Prec@5 80.469 (86.761) Epoch: [73][3280/10010] Time 0.337 (0.326) Data 0.000 (0.001) Loss 1.4295 (1.3712) Prec@1 65.625 (68.129) Prec@5 86.719 (86.767) Epoch: [73][3290/10010] Time 0.316 (0.326) Data 0.001 (0.001) Loss 1.2818 (1.3711) Prec@1 66.406 (68.132) Prec@5 89.062 (86.769) Epoch: [73][3300/10010] Time 0.321 (0.326) Data 0.001 (0.001) Loss 1.2230 (1.3710) Prec@1 66.406 (68.132) Prec@5 90.625 (86.768) Epoch: [73][3310/10010] Time 0.319 (0.326) Data 0.000 (0.001) Loss 1.3164 (1.3712) Prec@1 65.625 (68.125) Prec@5 89.062 (86.766) Epoch: [73][3320/10010] Time 0.330 (0.326) Data 0.000 (0.001) Loss 1.6109 (1.3711) Prec@1 62.500 (68.123) Prec@5 86.719 (86.766) Epoch: [73][3330/10010] Time 0.316 (0.326) Data 0.001 (0.001) Loss 1.6473 (1.3713) Prec@1 66.406 (68.124) Prec@5 82.031 (86.764) Epoch: [73][3340/10010] Time 0.326 (0.326) Data 0.001 (0.001) Loss 1.5471 (1.3714) Prec@1 64.844 (68.121) Prec@5 85.938 (86.762) Epoch: [73][3350/10010] Time 0.332 (0.326) Data 0.001 (0.001) Loss 1.4407 (1.3715) Prec@1 64.062 (68.122) Prec@5 85.156 (86.762) Epoch: [73][3360/10010] Time 0.317 (0.326) Data 0.001 (0.001) Loss 1.5269 (1.3714) Prec@1 64.062 (68.124) Prec@5 82.812 (86.764) Epoch: [73][3370/10010] Time 0.328 (0.326) Data 0.000 (0.001) Loss 1.4159 (1.3712) Prec@1 69.531 (68.130) Prec@5 85.156 (86.767) Epoch: [73][3380/10010] Time 0.343 (0.327) Data 0.000 (0.001) Loss 1.3188 (1.3712) Prec@1 72.656 (68.138) Prec@5 86.719 (86.765) Epoch: [73][3390/10010] Time 0.321 (0.326) Data 0.000 (0.001) Loss 1.2115 (1.3713) Prec@1 73.438 (68.137) Prec@5 89.844 (86.765) Epoch: [73][3400/10010] Time 0.333 (0.327) Data 0.000 (0.001) Loss 1.2262 (1.3711) Prec@1 67.969 (68.138) Prec@5 90.625 (86.770) Epoch: [73][3410/10010] Time 0.319 (0.326) Data 0.000 (0.001) Loss 1.4140 (1.3709) Prec@1 68.750 (68.142) Prec@5 83.594 (86.771) Epoch: [73][3420/10010] Time 0.328 (0.326) Data 0.001 (0.001) Loss 1.5383 (1.3710) Prec@1 58.594 (68.141) Prec@5 85.156 (86.772) Epoch: [73][3430/10010] Time 0.322 (0.326) Data 0.000 (0.001) Loss 1.3877 (1.3712) Prec@1 63.281 (68.136) Prec@5 86.719 (86.770) Epoch: [73][3440/10010] Time 0.345 (0.327) Data 0.000 (0.001) Loss 1.1941 (1.3711) Prec@1 72.656 (68.137) Prec@5 87.500 (86.768) Epoch: [73][3450/10010] Time 0.330 (0.327) Data 0.001 (0.001) Loss 1.4527 (1.3711) Prec@1 67.969 (68.135) Prec@5 86.719 (86.770) Epoch: [73][3460/10010] Time 0.331 (0.327) Data 0.001 (0.001) Loss 1.4051 (1.3713) Prec@1 64.062 (68.125) Prec@5 89.062 (86.770) Epoch: [73][3470/10010] Time 0.330 (0.327) Data 0.001 (0.001) Loss 1.6337 (1.3715) Prec@1 67.188 (68.122) Prec@5 82.812 (86.765) Epoch: [73][3480/10010] Time 0.334 (0.327) Data 0.001 (0.001) Loss 1.2155 (1.3716) Prec@1 69.531 (68.120) Prec@5 89.844 (86.764) Epoch: [73][3490/10010] Time 0.316 (0.327) Data 0.000 (0.001) Loss 1.5715 (1.3716) Prec@1 65.625 (68.118) Prec@5 80.469 (86.761) Epoch: [73][3500/10010] Time 0.313 (0.327) Data 0.001 (0.001) Loss 1.4678 (1.3718) Prec@1 66.406 (68.116) Prec@5 83.594 (86.760) Epoch: [73][3510/10010] Time 0.325 (0.327) Data 0.001 (0.001) Loss 1.4596 (1.3720) Prec@1 67.969 (68.119) Prec@5 88.281 (86.759) Epoch: [73][3520/10010] Time 0.332 (0.327) Data 0.001 (0.001) Loss 1.3502 (1.3719) Prec@1 70.312 (68.119) Prec@5 85.156 (86.759) Epoch: [73][3530/10010] Time 0.335 (0.327) Data 0.000 (0.001) Loss 1.6127 (1.3719) Prec@1 68.750 (68.122) Prec@5 81.250 (86.758) Epoch: [73][3540/10010] Time 0.329 (0.327) Data 0.001 (0.001) Loss 1.3466 (1.3720) Prec@1 65.625 (68.119) Prec@5 91.406 (86.757) Epoch: [73][3550/10010] Time 0.319 (0.327) Data 0.001 (0.001) Loss 1.2554 (1.3718) Prec@1 71.094 (68.124) Prec@5 89.062 (86.762) Epoch: [73][3560/10010] Time 0.310 (0.327) Data 0.001 (0.001) Loss 1.6997 (1.3717) Prec@1 63.281 (68.129) Prec@5 81.250 (86.762) Epoch: [73][3570/10010] Time 0.327 (0.327) Data 0.000 (0.001) Loss 1.5460 (1.3716) Prec@1 67.188 (68.132) Prec@5 82.812 (86.761) Epoch: [73][3580/10010] Time 0.318 (0.327) Data 0.001 (0.001) Loss 1.4024 (1.3716) Prec@1 69.531 (68.128) Prec@5 85.938 (86.762) Epoch: [73][3590/10010] Time 0.326 (0.327) Data 0.001 (0.001) Loss 1.3432 (1.3715) Prec@1 70.312 (68.130) Prec@5 85.156 (86.764) Epoch: [73][3600/10010] Time 0.337 (0.327) Data 0.000 (0.001) Loss 1.5003 (1.3714) Prec@1 67.188 (68.135) Prec@5 83.594 (86.768) Epoch: [73][3610/10010] Time 0.322 (0.327) Data 0.000 (0.001) Loss 1.5825 (1.3716) Prec@1 66.406 (68.133) Prec@5 80.469 (86.763) Epoch: [73][3620/10010] Time 0.313 (0.327) Data 0.001 (0.001) Loss 1.6212 (1.3716) Prec@1 63.281 (68.131) Prec@5 82.031 (86.763) Epoch: [73][3630/10010] Time 0.316 (0.327) Data 0.001 (0.001) Loss 1.3216 (1.3717) Prec@1 67.969 (68.128) Prec@5 83.594 (86.758) Epoch: [73][3640/10010] Time 0.311 (0.327) Data 0.000 (0.001) Loss 1.4608 (1.3719) Prec@1 65.625 (68.122) Prec@5 85.156 (86.755) Epoch: [73][3650/10010] Time 0.321 (0.327) Data 0.001 (0.001) Loss 1.2806 (1.3717) Prec@1 74.219 (68.128) Prec@5 89.062 (86.760) Epoch: [73][3660/10010] Time 0.342 (0.327) Data 0.001 (0.001) Loss 1.4828 (1.3717) Prec@1 67.188 (68.128) Prec@5 82.812 (86.761) Epoch: [73][3670/10010] Time 0.339 (0.327) Data 0.000 (0.001) Loss 1.4995 (1.3717) Prec@1 65.625 (68.128) Prec@5 84.375 (86.760) Epoch: [73][3680/10010] Time 0.341 (0.327) Data 0.001 (0.001) Loss 1.1866 (1.3719) Prec@1 75.781 (68.124) Prec@5 89.844 (86.758) Epoch: [73][3690/10010] Time 0.338 (0.327) Data 0.001 (0.001) Loss 1.2936 (1.3718) Prec@1 68.750 (68.124) Prec@5 87.500 (86.761) Epoch: [73][3700/10010] Time 0.321 (0.327) Data 0.000 (0.001) Loss 1.3817 (1.3719) Prec@1 67.188 (68.120) Prec@5 84.375 (86.760) Epoch: [73][3710/10010] Time 0.331 (0.327) Data 0.001 (0.001) Loss 1.2809 (1.3719) Prec@1 70.312 (68.120) Prec@5 87.500 (86.757) Epoch: [73][3720/10010] Time 0.325 (0.327) Data 0.001 (0.001) Loss 1.8260 (1.3720) Prec@1 60.938 (68.120) Prec@5 81.250 (86.757) Epoch: [73][3730/10010] Time 0.322 (0.327) Data 0.001 (0.001) Loss 1.3864 (1.3720) Prec@1 62.500 (68.120) Prec@5 87.500 (86.756) Epoch: [73][3740/10010] Time 0.335 (0.327) Data 0.001 (0.001) Loss 1.4308 (1.3720) Prec@1 67.188 (68.122) Prec@5 88.281 (86.758) Epoch: [73][3750/10010] Time 0.316 (0.327) Data 0.001 (0.001) Loss 1.3620 (1.3718) Prec@1 65.625 (68.124) Prec@5 85.156 (86.760) Epoch: [73][3760/10010] Time 0.317 (0.327) Data 0.000 (0.001) Loss 1.4808 (1.3719) Prec@1 65.625 (68.123) Prec@5 85.156 (86.759) Epoch: [73][3770/10010] Time 0.337 (0.327) Data 0.001 (0.001) Loss 1.1545 (1.3716) Prec@1 75.781 (68.130) Prec@5 90.625 (86.760) Epoch: [73][3780/10010] Time 0.321 (0.327) Data 0.001 (0.001) Loss 1.2690 (1.3715) Prec@1 73.438 (68.132) Prec@5 89.062 (86.762) Epoch: [73][3790/10010] Time 0.329 (0.326) Data 0.001 (0.001) Loss 1.1805 (1.3714) Prec@1 70.312 (68.135) Prec@5 89.062 (86.764) Epoch: [73][3800/10010] Time 0.313 (0.326) Data 0.000 (0.001) Loss 1.2369 (1.3714) Prec@1 71.094 (68.136) Prec@5 88.281 (86.766) Epoch: [73][3810/10010] Time 0.309 (0.326) Data 0.001 (0.001) Loss 1.1763 (1.3716) Prec@1 73.438 (68.132) Prec@5 89.062 (86.761) Epoch: [73][3820/10010] Time 0.317 (0.326) Data 0.001 (0.001) Loss 1.4154 (1.3717) Prec@1 67.188 (68.132) Prec@5 88.281 (86.762) Epoch: [73][3830/10010] Time 0.320 (0.326) Data 0.001 (0.001) Loss 1.5749 (1.3718) Prec@1 62.500 (68.128) Prec@5 82.031 (86.759) Epoch: [73][3840/10010] Time 0.327 (0.326) Data 0.000 (0.001) Loss 1.6385 (1.3718) Prec@1 61.719 (68.130) Prec@5 85.156 (86.760) Epoch: [73][3850/10010] Time 0.337 (0.326) Data 0.001 (0.001) Loss 1.4072 (1.3719) Prec@1 71.875 (68.130) Prec@5 86.719 (86.759) Epoch: [73][3860/10010] Time 0.330 (0.326) Data 0.001 (0.001) Loss 1.3515 (1.3720) Prec@1 73.438 (68.131) Prec@5 86.719 (86.758) Epoch: [73][3870/10010] Time 0.318 (0.326) Data 0.001 (0.001) Loss 1.5397 (1.3721) Prec@1 67.188 (68.128) Prec@5 82.812 (86.756) Epoch: [73][3880/10010] Time 0.318 (0.326) Data 0.000 (0.001) Loss 1.4066 (1.3719) Prec@1 66.406 (68.129) Prec@5 87.500 (86.758) Epoch: [73][3890/10010] Time 0.316 (0.326) Data 0.001 (0.001) Loss 1.1057 (1.3720) Prec@1 74.219 (68.130) Prec@5 90.625 (86.755) Epoch: [73][3900/10010] Time 0.327 (0.326) Data 0.001 (0.001) Loss 0.9378 (1.3719) Prec@1 81.250 (68.133) Prec@5 95.312 (86.757) Epoch: [73][3910/10010] Time 0.326 (0.326) Data 0.000 (0.001) Loss 1.1808 (1.3718) Prec@1 67.188 (68.133) Prec@5 90.625 (86.758) Epoch: [73][3920/10010] Time 0.316 (0.326) Data 0.000 (0.001) Loss 1.3300 (1.3716) Prec@1 67.969 (68.138) Prec@5 85.938 (86.760) Epoch: [73][3930/10010] Time 0.322 (0.326) Data 0.001 (0.001) Loss 1.1945 (1.3716) Prec@1 72.656 (68.137) Prec@5 89.844 (86.761) Epoch: [73][3940/10010] Time 0.329 (0.326) Data 0.000 (0.001) Loss 1.0408 (1.3714) Prec@1 73.438 (68.142) Prec@5 92.188 (86.762) Epoch: [73][3950/10010] Time 0.318 (0.326) Data 0.001 (0.001) Loss 1.5221 (1.3714) Prec@1 64.844 (68.138) Prec@5 82.812 (86.759) Epoch: [73][3960/10010] Time 0.327 (0.326) Data 0.000 (0.001) Loss 1.3318 (1.3711) Prec@1 69.531 (68.148) Prec@5 85.156 (86.763) Epoch: [73][3970/10010] Time 0.320 (0.326) Data 0.000 (0.001) Loss 1.4066 (1.3710) Prec@1 67.969 (68.150) Prec@5 85.156 (86.766) Epoch: [73][3980/10010] Time 0.338 (0.326) Data 0.001 (0.001) Loss 1.2647 (1.3710) Prec@1 67.188 (68.149) Prec@5 88.281 (86.766) Epoch: [73][3990/10010] Time 0.336 (0.326) Data 0.001 (0.001) Loss 1.6312 (1.3710) Prec@1 62.500 (68.147) Prec@5 82.031 (86.762) Epoch: [73][4000/10010] Time 0.334 (0.326) Data 0.000 (0.001) Loss 1.1515 (1.3710) Prec@1 73.438 (68.145) Prec@5 89.844 (86.763) Epoch: [73][4010/10010] Time 0.337 (0.326) Data 0.001 (0.001) Loss 1.3418 (1.3711) Prec@1 67.969 (68.144) Prec@5 86.719 (86.762) Epoch: [73][4020/10010] Time 0.323 (0.326) Data 0.001 (0.001) Loss 1.2070 (1.3710) Prec@1 75.781 (68.144) Prec@5 90.625 (86.767) Epoch: [73][4030/10010] Time 0.314 (0.326) Data 0.000 (0.001) Loss 1.4715 (1.3710) Prec@1 64.844 (68.142) Prec@5 85.156 (86.767) Epoch: [73][4040/10010] Time 0.312 (0.326) Data 0.000 (0.001) Loss 1.4217 (1.3712) Prec@1 68.750 (68.142) Prec@5 85.938 (86.764) Epoch: [73][4050/10010] Time 0.326 (0.326) Data 0.001 (0.001) Loss 1.1412 (1.3712) Prec@1 71.875 (68.142) Prec@5 90.625 (86.767) Epoch: [73][4060/10010] Time 0.315 (0.326) Data 0.001 (0.001) Loss 1.1750 (1.3712) Prec@1 74.219 (68.142) Prec@5 89.062 (86.765) Epoch: [73][4070/10010] Time 0.332 (0.326) Data 0.001 (0.001) Loss 1.3526 (1.3711) Prec@1 69.531 (68.145) Prec@5 86.719 (86.764) Epoch: [73][4080/10010] Time 0.314 (0.326) Data 0.001 (0.001) Loss 1.5429 (1.3713) Prec@1 64.844 (68.143) Prec@5 86.719 (86.762) Epoch: [73][4090/10010] Time 0.321 (0.326) Data 0.001 (0.001) Loss 1.5575 (1.3715) Prec@1 65.625 (68.138) Prec@5 83.594 (86.759) Epoch: [73][4100/10010] Time 0.331 (0.326) Data 0.000 (0.001) Loss 1.2436 (1.3714) Prec@1 65.625 (68.139) Prec@5 89.844 (86.761) Epoch: [73][4110/10010] Time 0.325 (0.326) Data 0.001 (0.001) Loss 1.4450 (1.3716) Prec@1 64.844 (68.135) Prec@5 85.156 (86.755) Epoch: [73][4120/10010] Time 0.333 (0.326) Data 0.001 (0.001) Loss 1.4174 (1.3715) Prec@1 64.062 (68.131) Prec@5 88.281 (86.758) Epoch: [73][4130/10010] Time 0.331 (0.326) Data 0.001 (0.001) Loss 1.0204 (1.3715) Prec@1 75.000 (68.129) Prec@5 91.406 (86.761) Epoch: [73][4140/10010] Time 0.329 (0.326) Data 0.001 (0.001) Loss 1.4190 (1.3716) Prec@1 65.625 (68.127) Prec@5 82.812 (86.760) Epoch: [73][4150/10010] Time 0.339 (0.326) Data 0.001 (0.001) Loss 1.4722 (1.3717) Prec@1 63.281 (68.128) Prec@5 87.500 (86.755) Epoch: [73][4160/10010] Time 0.330 (0.326) Data 0.000 (0.001) Loss 1.6484 (1.3718) Prec@1 65.625 (68.125) Prec@5 79.688 (86.756) Epoch: [73][4170/10010] Time 0.325 (0.326) Data 0.000 (0.001) Loss 1.2181 (1.3716) Prec@1 74.219 (68.126) Prec@5 86.719 (86.756) Epoch: [73][4180/10010] Time 0.323 (0.326) Data 0.000 (0.001) Loss 1.2641 (1.3715) Prec@1 68.750 (68.128) Prec@5 89.062 (86.757) Epoch: [73][4190/10010] Time 0.328 (0.326) Data 0.001 (0.001) Loss 1.3330 (1.3715) Prec@1 71.094 (68.128) Prec@5 87.500 (86.757) Epoch: [73][4200/10010] Time 0.324 (0.326) Data 0.000 (0.001) Loss 1.5887 (1.3716) Prec@1 64.844 (68.125) Prec@5 83.594 (86.758) Epoch: [73][4210/10010] Time 0.319 (0.326) Data 0.001 (0.001) Loss 1.3101 (1.3718) Prec@1 70.312 (68.122) Prec@5 86.719 (86.754) Epoch: [73][4220/10010] Time 0.325 (0.326) Data 0.001 (0.001) Loss 1.5603 (1.3720) Prec@1 67.969 (68.117) Prec@5 84.375 (86.750) Epoch: [73][4230/10010] Time 0.324 (0.326) Data 0.000 (0.001) Loss 1.3069 (1.3720) Prec@1 68.750 (68.117) Prec@5 87.500 (86.749) Epoch: [73][4240/10010] Time 0.324 (0.326) Data 0.000 (0.001) Loss 1.6901 (1.3720) Prec@1 59.375 (68.116) Prec@5 79.688 (86.747) Epoch: [73][4250/10010] Time 0.339 (0.326) Data 0.001 (0.001) Loss 1.7846 (1.3721) Prec@1 60.938 (68.109) Prec@5 79.688 (86.747) Epoch: [73][4260/10010] Time 0.318 (0.326) Data 0.003 (0.001) Loss 1.4388 (1.3721) Prec@1 67.188 (68.106) Prec@5 85.156 (86.747) Epoch: [73][4270/10010] Time 0.332 (0.326) Data 0.000 (0.001) Loss 1.1444 (1.3723) Prec@1 72.656 (68.104) Prec@5 90.625 (86.743) Epoch: [73][4280/10010] Time 0.326 (0.326) Data 0.000 (0.001) Loss 1.7322 (1.3722) Prec@1 60.156 (68.108) Prec@5 82.031 (86.744) Epoch: [73][4290/10010] Time 0.334 (0.326) Data 0.001 (0.001) Loss 1.2445 (1.3723) Prec@1 70.312 (68.107) Prec@5 87.500 (86.742) Epoch: [73][4300/10010] Time 0.328 (0.326) Data 0.000 (0.001) Loss 1.2196 (1.3723) Prec@1 72.656 (68.109) Prec@5 85.938 (86.740) Epoch: [73][4310/10010] Time 0.333 (0.326) Data 0.001 (0.001) Loss 1.5356 (1.3725) Prec@1 66.406 (68.103) Prec@5 84.375 (86.736) Epoch: [73][4320/10010] Time 0.343 (0.326) Data 0.000 (0.001) Loss 1.3691 (1.3726) Prec@1 70.312 (68.100) Prec@5 85.938 (86.736) Epoch: [73][4330/10010] Time 0.334 (0.326) Data 0.001 (0.001) Loss 1.2821 (1.3726) Prec@1 65.625 (68.102) Prec@5 86.719 (86.737) Epoch: [73][4340/10010] Time 0.333 (0.326) Data 0.000 (0.001) Loss 1.4382 (1.3727) Prec@1 70.312 (68.101) Prec@5 85.938 (86.737) Epoch: [73][4350/10010] Time 0.320 (0.326) Data 0.001 (0.001) Loss 1.2853 (1.3728) Prec@1 71.875 (68.101) Prec@5 88.281 (86.735) Epoch: [73][4360/10010] Time 0.314 (0.326) Data 0.000 (0.001) Loss 1.3230 (1.3726) Prec@1 68.750 (68.106) Prec@5 88.281 (86.736) Epoch: [73][4370/10010] Time 0.341 (0.326) Data 0.001 (0.001) Loss 1.5283 (1.3727) Prec@1 66.406 (68.107) Prec@5 83.594 (86.734) Epoch: [73][4380/10010] Time 0.337 (0.326) Data 0.000 (0.001) Loss 1.5052 (1.3727) Prec@1 65.625 (68.101) Prec@5 85.938 (86.732) Epoch: [73][4390/10010] Time 0.314 (0.326) Data 0.001 (0.001) Loss 1.2828 (1.3726) Prec@1 67.969 (68.102) Prec@5 89.844 (86.734) Epoch: [73][4400/10010] Time 0.332 (0.326) Data 0.000 (0.001) Loss 1.3958 (1.3730) Prec@1 65.625 (68.093) Prec@5 86.719 (86.728) Epoch: [73][4410/10010] Time 0.326 (0.326) Data 0.001 (0.001) Loss 1.6481 (1.3733) Prec@1 61.719 (68.086) Prec@5 84.375 (86.724) Epoch: [73][4420/10010] Time 0.315 (0.326) Data 0.000 (0.001) Loss 1.2682 (1.3732) Prec@1 73.438 (68.088) Prec@5 88.281 (86.725) Epoch: [73][4430/10010] Time 0.314 (0.326) Data 0.001 (0.001) Loss 1.4111 (1.3731) Prec@1 69.531 (68.087) Prec@5 86.719 (86.724) Epoch: [73][4440/10010] Time 0.324 (0.326) Data 0.000 (0.001) Loss 1.2519 (1.3732) Prec@1 71.094 (68.085) Prec@5 87.500 (86.721) Epoch: [73][4450/10010] Time 0.325 (0.326) Data 0.001 (0.001) Loss 1.3384 (1.3732) Prec@1 71.875 (68.085) Prec@5 85.938 (86.722) Epoch: [73][4460/10010] Time 0.330 (0.326) Data 0.001 (0.001) Loss 1.4060 (1.3733) Prec@1 67.188 (68.085) Prec@5 87.500 (86.721) Epoch: [73][4470/10010] Time 0.334 (0.326) Data 0.001 (0.001) Loss 1.2496 (1.3732) Prec@1 71.875 (68.088) Prec@5 85.938 (86.723) Epoch: [73][4480/10010] Time 0.323 (0.326) Data 0.000 (0.001) Loss 1.0665 (1.3732) Prec@1 74.219 (68.089) Prec@5 88.281 (86.719) Epoch: [73][4490/10010] Time 0.329 (0.326) Data 0.000 (0.001) Loss 1.2543 (1.3731) Prec@1 72.656 (68.092) Prec@5 91.406 (86.721) Epoch: [73][4500/10010] Time 0.324 (0.326) Data 0.001 (0.001) Loss 1.3994 (1.3731) Prec@1 71.875 (68.090) Prec@5 88.281 (86.723) Epoch: [73][4510/10010] Time 0.326 (0.326) Data 0.000 (0.001) Loss 1.1901 (1.3731) Prec@1 71.875 (68.096) Prec@5 89.062 (86.724) Epoch: [73][4520/10010] Time 0.338 (0.326) Data 0.000 (0.001) Loss 1.4970 (1.3730) Prec@1 66.406 (68.097) Prec@5 85.938 (86.725) Epoch: [73][4530/10010] Time 0.321 (0.326) Data 0.001 (0.001) Loss 1.3042 (1.3730) Prec@1 64.844 (68.093) Prec@5 87.500 (86.723) Epoch: [73][4540/10010] Time 0.338 (0.326) Data 0.000 (0.001) Loss 1.4824 (1.3730) Prec@1 64.844 (68.094) Prec@5 84.375 (86.722) Epoch: [73][4550/10010] Time 0.312 (0.326) Data 0.001 (0.001) Loss 1.2406 (1.3729) Prec@1 74.219 (68.098) Prec@5 86.719 (86.723) Epoch: [73][4560/10010] Time 0.335 (0.326) Data 0.000 (0.001) Loss 1.4641 (1.3729) Prec@1 67.969 (68.099) Prec@5 84.375 (86.722) Epoch: [73][4570/10010] Time 0.321 (0.326) Data 0.001 (0.001) Loss 1.1802 (1.3729) Prec@1 73.438 (68.100) Prec@5 89.844 (86.723) Epoch: [73][4580/10010] Time 0.334 (0.326) Data 0.001 (0.001) Loss 1.4670 (1.3729) Prec@1 71.094 (68.100) Prec@5 85.938 (86.724) Epoch: [73][4590/10010] Time 0.339 (0.326) Data 0.001 (0.001) Loss 1.3837 (1.3730) Prec@1 66.406 (68.097) Prec@5 87.500 (86.722) Epoch: [73][4600/10010] Time 0.318 (0.326) Data 0.000 (0.001) Loss 1.2510 (1.3731) Prec@1 71.875 (68.095) Prec@5 89.844 (86.722) Epoch: [73][4610/10010] Time 0.333 (0.326) Data 0.001 (0.001) Loss 1.7208 (1.3733) Prec@1 64.062 (68.091) Prec@5 80.469 (86.718) Epoch: [73][4620/10010] Time 0.336 (0.326) Data 0.001 (0.001) Loss 1.5357 (1.3734) Prec@1 66.406 (68.087) Prec@5 83.594 (86.717) Epoch: [73][4630/10010] Time 0.313 (0.326) Data 0.001 (0.001) Loss 1.2484 (1.3731) Prec@1 68.750 (68.092) Prec@5 89.062 (86.719) Epoch: [73][4640/10010] Time 0.337 (0.326) Data 0.000 (0.001) Loss 1.5849 (1.3732) Prec@1 64.844 (68.091) Prec@5 81.250 (86.720) Epoch: [73][4650/10010] Time 0.317 (0.326) Data 0.000 (0.001) Loss 1.5457 (1.3733) Prec@1 65.625 (68.088) Prec@5 83.594 (86.719) Epoch: [73][4660/10010] Time 0.328 (0.326) Data 0.001 (0.001) Loss 1.2172 (1.3732) Prec@1 71.094 (68.084) Prec@5 89.062 (86.721) Epoch: [73][4670/10010] Time 0.332 (0.326) Data 0.001 (0.001) Loss 1.3916 (1.3733) Prec@1 70.312 (68.083) Prec@5 85.156 (86.721) Epoch: [73][4680/10010] Time 0.332 (0.326) Data 0.001 (0.001) Loss 1.4913 (1.3733) Prec@1 71.875 (68.085) Prec@5 84.375 (86.722) Epoch: [73][4690/10010] Time 0.333 (0.326) Data 0.001 (0.001) Loss 1.6504 (1.3734) Prec@1 60.938 (68.084) Prec@5 82.812 (86.722) Epoch: [73][4700/10010] Time 0.326 (0.326) Data 0.001 (0.001) Loss 1.5573 (1.3733) Prec@1 63.281 (68.086) Prec@5 80.469 (86.723) Epoch: [73][4710/10010] Time 0.329 (0.326) Data 0.000 (0.001) Loss 1.3555 (1.3733) Prec@1 69.531 (68.087) Prec@5 87.500 (86.724) Epoch: [73][4720/10010] Time 0.330 (0.326) Data 0.000 (0.001) Loss 1.1090 (1.3732) Prec@1 70.312 (68.088) Prec@5 90.625 (86.726) /data/vision/torralba/deepscene/lib/anaconda2/lib/python2.7/site-packages/PIL/TiffImagePlugin.py:692: UserWarning: Possibly corrupt EXIF data. Expecting to read 2555904 bytes but only got 0. Skipping tag 0 "Skipping tag %s" % (size, len(data), tag)) Epoch: [73][4730/10010] Time 0.337 (0.326) Data 0.000 (0.001) Loss 1.3619 (1.3732) Prec@1 73.438 (68.088) Prec@5 83.594 (86.725) Epoch: [73][4740/10010] Time 0.314 (0.326) Data 0.000 (0.001) Loss 1.3609 (1.3732) Prec@1 74.219 (68.086) Prec@5 87.500 (86.726) Epoch: [73][4750/10010] Time 0.316 (0.326) Data 0.001 (0.001) Loss 1.6387 (1.3733) Prec@1 67.188 (68.087) Prec@5 83.594 (86.724) /data/vision/torralba/deepscene/lib/anaconda2/lib/python2.7/site-packages/PIL/TiffImagePlugin.py:692: UserWarning: Possibly corrupt EXIF data. Expecting to read 19660800 bytes but only got 0. Skipping tag 0 "Skipping tag %s" % (size, len(data), tag)) /data/vision/torralba/deepscene/lib/anaconda2/lib/python2.7/site-packages/PIL/TiffImagePlugin.py:692: UserWarning: Possibly corrupt EXIF data. Expecting to read 18481152 bytes but only got 0. Skipping tag 0 "Skipping tag %s" % (size, len(data), tag)) /data/vision/torralba/deepscene/lib/anaconda2/lib/python2.7/site-packages/PIL/TiffImagePlugin.py:692: UserWarning: Possibly corrupt EXIF data. Expecting to read 37093376 bytes but only got 0. Skipping tag 0 "Skipping tag %s" % (size, len(data), tag)) /data/vision/torralba/deepscene/lib/anaconda2/lib/python2.7/site-packages/PIL/TiffImagePlugin.py:692: UserWarning: Possibly corrupt EXIF data. Expecting to read 39976960 bytes but only got 0. Skipping tag 0 "Skipping tag %s" % (size, len(data), tag)) /data/vision/torralba/deepscene/lib/anaconda2/lib/python2.7/site-packages/PIL/TiffImagePlugin.py:692: UserWarning: Possibly corrupt EXIF data. Expecting to read 34865152 bytes but only got 0. Skipping tag 0 "Skipping tag %s" % (size, len(data), tag)) /data/vision/torralba/deepscene/lib/anaconda2/lib/python2.7/site-packages/PIL/TiffImagePlugin.py:709: UserWarning: Corrupt EXIF data. Expecting to read 12 bytes but only got 10. warnings.warn(str(msg)) Epoch: [73][4760/10010] Time 0.340 (0.326) Data 0.001 (0.001) Loss 1.5181 (1.3734) Prec@1 65.625 (68.084) Prec@5 85.938 (86.721) Epoch: [73][4770/10010] Time 0.333 (0.326) Data 0.001 (0.001) Loss 1.4182 (1.3734) Prec@1 62.500 (68.084) Prec@5 86.719 (86.721) Epoch: [73][4780/10010] Time 0.337 (0.326) Data 0.001 (0.001) Loss 1.3972 (1.3734) Prec@1 67.969 (68.085) Prec@5 85.938 (86.717) Epoch: [73][4790/10010] Time 0.312 (0.326) Data 0.000 (0.001) Loss 0.9555 (1.3732) Prec@1 75.781 (68.088) Prec@5 93.750 (86.722) Epoch: [73][4800/10010] Time 0.337 (0.326) Data 0.000 (0.001) Loss 1.1174 (1.3733) Prec@1 74.219 (68.086) Prec@5 89.844 (86.721) Epoch: [73][4810/10010] Time 0.327 (0.326) Data 0.000 (0.001) Loss 1.4761 (1.3734) Prec@1 60.156 (68.080) Prec@5 85.156 (86.721) Epoch: [73][4820/10010] Time 0.315 (0.326) Data 0.001 (0.001) Loss 1.2333 (1.3733) Prec@1 68.750 (68.080) Prec@5 86.719 (86.724) Epoch: [73][4830/10010] Time 0.334 (0.326) Data 0.001 (0.001) Loss 1.3489 (1.3732) Prec@1 67.969 (68.083) Prec@5 86.719 (86.725) Epoch: [73][4840/10010] Time 0.315 (0.326) Data 0.001 (0.001) Loss 1.2193 (1.3731) Prec@1 67.188 (68.083) Prec@5 87.500 (86.725) Epoch: [73][4850/10010] Time 0.319 (0.326) Data 0.000 (0.001) Loss 1.2440 (1.3734) Prec@1 73.438 (68.080) Prec@5 86.719 (86.722) Epoch: [73][4860/10010] Time 0.332 (0.326) Data 0.001 (0.001) Loss 1.6175 (1.3734) Prec@1 64.062 (68.079) Prec@5 83.594 (86.723) Epoch: [73][4870/10010] Time 0.314 (0.326) Data 0.001 (0.001) Loss 1.4198 (1.3734) Prec@1 61.719 (68.077) Prec@5 84.375 (86.722) Epoch: [73][4880/10010] Time 0.321 (0.326) Data 0.001 (0.001) Loss 1.4916 (1.3734) Prec@1 70.312 (68.075) Prec@5 82.031 (86.720) Epoch: [73][4890/10010] Time 0.317 (0.326) Data 0.001 (0.001) Loss 1.1764 (1.3734) Prec@1 75.000 (68.076) Prec@5 87.500 (86.720) Epoch: [73][4900/10010] Time 0.326 (0.326) Data 0.001 (0.001) Loss 1.0530 (1.3733) Prec@1 76.562 (68.079) Prec@5 92.969 (86.723) Epoch: [73][4910/10010] Time 0.313 (0.326) Data 0.001 (0.001) Loss 1.3272 (1.3733) Prec@1 67.188 (68.078) Prec@5 84.375 (86.724) Epoch: [73][4920/10010] Time 0.337 (0.326) Data 0.000 (0.001) Loss 1.3928 (1.3731) Prec@1 67.969 (68.082) Prec@5 86.719 (86.727) Epoch: [73][4930/10010] Time 0.329 (0.326) Data 0.000 (0.001) Loss 1.5308 (1.3732) Prec@1 65.625 (68.081) Prec@5 85.156 (86.728) Epoch: [73][4940/10010] Time 0.325 (0.326) Data 0.000 (0.001) Loss 1.4651 (1.3732) Prec@1 64.062 (68.080) Prec@5 85.156 (86.726) Epoch: [73][4950/10010] Time 0.339 (0.326) Data 0.001 (0.001) Loss 1.4826 (1.3733) Prec@1 63.281 (68.080) Prec@5 87.500 (86.722) Epoch: [73][4960/10010] Time 0.321 (0.327) Data 0.000 (0.001) Loss 1.2806 (1.3735) Prec@1 71.094 (68.079) Prec@5 86.719 (86.720) Epoch: [73][4970/10010] Time 0.320 (0.327) Data 0.001 (0.001) Loss 1.6399 (1.3736) Prec@1 58.594 (68.077) Prec@5 84.375 (86.717) Epoch: [73][4980/10010] Time 0.318 (0.327) Data 0.001 (0.001) Loss 1.3641 (1.3736) Prec@1 71.875 (68.075) Prec@5 88.281 (86.720) Epoch: [73][4990/10010] Time 0.337 (0.327) Data 0.001 (0.001) Loss 1.2432 (1.3735) Prec@1 70.312 (68.076) Prec@5 87.500 (86.721) Epoch: [73][5000/10010] Time 0.322 (0.327) Data 0.001 (0.001) Loss 1.7383 (1.3736) Prec@1 62.500 (68.076) Prec@5 82.031 (86.718) Epoch: [73][5010/10010] Time 0.333 (0.327) Data 0.000 (0.001) Loss 1.3285 (1.3733) Prec@1 74.219 (68.082) Prec@5 86.719 (86.720) Epoch: [73][5020/10010] Time 0.321 (0.327) Data 0.001 (0.001) Loss 1.2158 (1.3732) Prec@1 72.656 (68.088) Prec@5 89.062 (86.722) Epoch: [73][5030/10010] Time 0.335 (0.327) Data 0.000 (0.001) Loss 1.4001 (1.3731) Prec@1 70.312 (68.091) Prec@5 85.938 (86.723) Epoch: [73][5040/10010] Time 0.323 (0.327) Data 0.000 (0.001) Loss 1.0275 (1.3730) Prec@1 79.688 (68.094) Prec@5 92.188 (86.727) Epoch: [73][5050/10010] Time 0.318 (0.327) Data 0.001 (0.001) Loss 1.1716 (1.3729) Prec@1 74.219 (68.094) Prec@5 88.281 (86.727) Epoch: [73][5060/10010] Time 0.328 (0.327) Data 0.001 (0.001) Loss 1.5072 (1.3730) Prec@1 67.969 (68.087) Prec@5 83.594 (86.723) Epoch: [73][5070/10010] Time 0.340 (0.327) Data 0.000 (0.001) Loss 1.3969 (1.3729) Prec@1 66.406 (68.090) Prec@5 88.281 (86.725) Epoch: [73][5080/10010] Time 0.317 (0.327) Data 0.001 (0.001) Loss 1.5063 (1.3730) Prec@1 67.188 (68.089) Prec@5 83.594 (86.722) Epoch: [73][5090/10010] Time 0.322 (0.327) Data 0.000 (0.001) Loss 1.3951 (1.3731) Prec@1 67.969 (68.089) Prec@5 85.156 (86.722) Epoch: [73][5100/10010] Time 0.322 (0.326) Data 0.000 (0.001) Loss 1.5829 (1.3732) Prec@1 57.031 (68.086) Prec@5 82.812 (86.723) Epoch: [73][5110/10010] Time 0.326 (0.326) Data 0.001 (0.001) Loss 1.5746 (1.3731) Prec@1 68.750 (68.091) Prec@5 84.375 (86.726) Epoch: [73][5120/10010] Time 0.323 (0.327) Data 0.001 (0.001) Loss 1.5025 (1.3731) Prec@1 69.531 (68.089) Prec@5 84.375 (86.725) Epoch: [73][5130/10010] Time 0.338 (0.327) Data 0.000 (0.001) Loss 1.2903 (1.3729) Prec@1 70.312 (68.096) Prec@5 87.500 (86.728) Epoch: [73][5140/10010] Time 0.332 (0.327) Data 0.001 (0.001) Loss 0.9518 (1.3729) Prec@1 74.219 (68.096) Prec@5 96.094 (86.730) Epoch: [73][5150/10010] Time 0.333 (0.327) Data 0.001 (0.001) Loss 1.3297 (1.3730) Prec@1 67.969 (68.091) Prec@5 86.719 (86.727) Epoch: [73][5160/10010] Time 0.317 (0.327) Data 0.000 (0.001) Loss 1.4169 (1.3730) Prec@1 67.188 (68.093) Prec@5 85.938 (86.726) Epoch: [73][5170/10010] Time 0.320 (0.326) Data 0.001 (0.001) Loss 1.2660 (1.3730) Prec@1 69.531 (68.093) Prec@5 89.844 (86.727) Epoch: [73][5180/10010] Time 0.321 (0.326) Data 0.000 (0.001) Loss 1.3974 (1.3730) Prec@1 66.406 (68.094) Prec@5 85.938 (86.727) Epoch: [73][5190/10010] Time 0.319 (0.326) Data 0.001 (0.001) Loss 1.5475 (1.3731) Prec@1 67.969 (68.093) Prec@5 85.156 (86.725) Epoch: [73][5200/10010] Time 0.331 (0.326) Data 0.001 (0.001) Loss 1.4577 (1.3733) Prec@1 64.844 (68.089) Prec@5 88.281 (86.721) Epoch: [73][5210/10010] Time 0.332 (0.326) Data 0.001 (0.001) Loss 1.3402 (1.3733) Prec@1 68.750 (68.092) Prec@5 87.500 (86.721) Epoch: [73][5220/10010] Time 0.329 (0.326) Data 0.001 (0.001) Loss 1.5754 (1.3732) Prec@1 61.719 (68.092) Prec@5 83.594 (86.722) Epoch: [73][5230/10010] Time 0.332 (0.326) Data 0.001 (0.001) Loss 1.5460 (1.3732) Prec@1 65.625 (68.095) Prec@5 82.031 (86.723) Epoch: [73][5240/10010] Time 0.328 (0.326) Data 0.001 (0.001) Loss 1.6145 (1.3731) Prec@1 67.969 (68.099) Prec@5 83.594 (86.724) Epoch: [73][5250/10010] Time 0.318 (0.326) Data 0.000 (0.001) Loss 1.3762 (1.3733) Prec@1 61.719 (68.093) Prec@5 82.031 (86.719) Epoch: [73][5260/10010] Time 0.328 (0.326) Data 0.001 (0.001) Loss 1.8361 (1.3732) Prec@1 61.719 (68.093) Prec@5 82.031 (86.720) Epoch: [73][5270/10010] Time 0.316 (0.326) Data 0.000 (0.001) Loss 1.3497 (1.3732) Prec@1 72.656 (68.096) Prec@5 85.938 (86.718) Epoch: [73][5280/10010] Time 0.330 (0.326) Data 0.000 (0.001) Loss 1.2505 (1.3732) Prec@1 72.656 (68.097) Prec@5 91.406 (86.718) Epoch: [73][5290/10010] Time 0.333 (0.326) Data 0.000 (0.001) Loss 1.2705 (1.3732) Prec@1 71.094 (68.096) Prec@5 89.062 (86.721) Epoch: [73][5300/10010] Time 0.329 (0.326) Data 0.000 (0.001) Loss 1.2769 (1.3732) Prec@1 70.312 (68.094) Prec@5 89.062 (86.719) Epoch: [73][5310/10010] Time 0.313 (0.326) Data 0.001 (0.001) Loss 1.3680 (1.3733) Prec@1 67.969 (68.091) Prec@5 87.500 (86.720) Epoch: [73][5320/10010] Time 0.322 (0.326) Data 0.000 (0.001) Loss 1.3125 (1.3732) Prec@1 65.625 (68.093) Prec@5 88.281 (86.721) Epoch: [73][5330/10010] Time 0.329 (0.326) Data 0.000 (0.001) Loss 1.3041 (1.3731) Prec@1 68.750 (68.096) Prec@5 87.500 (86.723) Epoch: [73][5340/10010] Time 0.331 (0.326) Data 0.001 (0.001) Loss 1.3729 (1.3731) Prec@1 68.750 (68.097) Prec@5 88.281 (86.722) Epoch: [73][5350/10010] Time 0.323 (0.326) Data 0.000 (0.001) Loss 1.3814 (1.3732) Prec@1 71.094 (68.097) Prec@5 86.719 (86.721) Epoch: [73][5360/10010] Time 0.327 (0.326) Data 0.001 (0.001) Loss 1.5919 (1.3732) Prec@1 62.500 (68.095) Prec@5 81.250 (86.720) Epoch: [73][5370/10010] Time 0.311 (0.326) Data 0.000 (0.001) Loss 1.4106 (1.3731) Prec@1 70.312 (68.097) Prec@5 88.281 (86.723) Epoch: [73][5380/10010] Time 0.344 (0.326) Data 0.001 (0.001) Loss 1.1709 (1.3731) Prec@1 67.188 (68.097) Prec@5 91.406 (86.724) Epoch: [73][5390/10010] Time 0.320 (0.326) Data 0.000 (0.001) Loss 1.2248 (1.3730) Prec@1 73.438 (68.098) Prec@5 88.281 (86.723) Epoch: [73][5400/10010] Time 0.335 (0.326) Data 0.001 (0.001) Loss 1.3408 (1.3730) Prec@1 73.438 (68.100) Prec@5 87.500 (86.724) Epoch: [73][5410/10010] Time 0.321 (0.326) Data 0.001 (0.001) Loss 1.1471 (1.3729) Prec@1 74.219 (68.103) Prec@5 89.062 (86.726) Epoch: [73][5420/10010] Time 0.325 (0.326) Data 0.001 (0.001) Loss 1.2588 (1.3728) Prec@1 69.531 (68.106) Prec@5 89.062 (86.728) Epoch: [73][5430/10010] Time 0.332 (0.326) Data 0.000 (0.001) Loss 1.4181 (1.3729) Prec@1 68.750 (68.104) Prec@5 83.594 (86.724) Epoch: [73][5440/10010] Time 0.316 (0.326) Data 0.001 (0.001) Loss 1.4629 (1.3728) Prec@1 67.969 (68.108) Prec@5 83.594 (86.724) Epoch: [73][5450/10010] Time 0.323 (0.326) Data 0.000 (0.001) Loss 1.2528 (1.3727) Prec@1 68.750 (68.110) Prec@5 91.406 (86.725) Epoch: [73][5460/10010] Time 0.338 (0.326) Data 0.000 (0.001) Loss 1.4990 (1.3728) Prec@1 67.188 (68.110) Prec@5 85.938 (86.723) Epoch: [73][5470/10010] Time 0.337 (0.326) Data 0.001 (0.001) Loss 1.3564 (1.3727) Prec@1 69.531 (68.114) Prec@5 89.844 (86.726) Epoch: [73][5480/10010] Time 0.331 (0.326) Data 0.001 (0.001) Loss 1.1670 (1.3726) Prec@1 74.219 (68.118) Prec@5 89.844 (86.726) Epoch: [73][5490/10010] Time 0.333 (0.326) Data 0.001 (0.001) Loss 1.2757 (1.3727) Prec@1 70.312 (68.119) Prec@5 84.375 (86.722) Epoch: [73][5500/10010] Time 0.327 (0.326) Data 0.000 (0.001) Loss 1.5065 (1.3727) Prec@1 66.406 (68.120) Prec@5 88.281 (86.721) Epoch: [73][5510/10010] Time 0.322 (0.326) Data 0.000 (0.001) Loss 1.6612 (1.3727) Prec@1 61.719 (68.119) Prec@5 82.812 (86.720) Epoch: [73][5520/10010] Time 0.324 (0.326) Data 0.001 (0.001) Loss 1.5656 (1.3729) Prec@1 62.500 (68.115) Prec@5 82.031 (86.718) Epoch: [73][5530/10010] Time 0.324 (0.326) Data 0.001 (0.001) Loss 1.4377 (1.3728) Prec@1 67.969 (68.116) Prec@5 87.500 (86.720) Epoch: [73][5540/10010] Time 0.334 (0.326) Data 0.001 (0.001) Loss 1.3688 (1.3728) Prec@1 68.750 (68.117) Prec@5 89.062 (86.720) Epoch: [73][5550/10010] Time 0.324 (0.326) Data 0.000 (0.001) Loss 1.5099 (1.3728) Prec@1 64.062 (68.116) Prec@5 85.156 (86.720) Epoch: [73][5560/10010] Time 0.322 (0.326) Data 0.000 (0.001) Loss 1.4805 (1.3729) Prec@1 67.188 (68.114) Prec@5 85.156 (86.719) Epoch: [73][5570/10010] Time 0.330 (0.326) Data 0.000 (0.001) Loss 1.3506 (1.3730) Prec@1 68.750 (68.112) Prec@5 86.719 (86.718) Epoch: [73][5580/10010] Time 0.343 (0.326) Data 0.000 (0.001) Loss 1.2818 (1.3732) Prec@1 71.875 (68.107) Prec@5 89.062 (86.714) Epoch: [73][5590/10010] Time 0.323 (0.326) Data 0.000 (0.001) Loss 1.5448 (1.3731) Prec@1 71.094 (68.111) Prec@5 82.812 (86.717) Epoch: [73][5600/10010] Time 0.305 (0.326) Data 0.001 (0.001) Loss 1.3813 (1.3731) Prec@1 71.875 (68.112) Prec@5 86.719 (86.717) Epoch: [73][5610/10010] Time 0.324 (0.326) Data 0.000 (0.001) Loss 1.4203 (1.3734) Prec@1 68.750 (68.107) Prec@5 82.812 (86.712) Epoch: [73][5620/10010] Time 0.317 (0.326) Data 0.000 (0.001) Loss 1.5841 (1.3734) Prec@1 63.281 (68.107) Prec@5 81.250 (86.709) Epoch: [73][5630/10010] Time 0.322 (0.326) Data 0.001 (0.001) Loss 1.2131 (1.3736) Prec@1 73.438 (68.103) Prec@5 89.062 (86.706) Epoch: [73][5640/10010] Time 0.327 (0.326) Data 0.000 (0.001) Loss 1.5173 (1.3739) Prec@1 62.500 (68.096) Prec@5 85.156 (86.702) Epoch: [73][5650/10010] Time 0.327 (0.326) Data 0.000 (0.001) Loss 1.5626 (1.3739) Prec@1 64.844 (68.096) Prec@5 85.938 (86.702) Epoch: [73][5660/10010] Time 0.320 (0.326) Data 0.001 (0.001) Loss 1.0774 (1.3739) Prec@1 74.219 (68.098) Prec@5 89.062 (86.703) Epoch: [73][5670/10010] Time 0.333 (0.326) Data 0.000 (0.001) Loss 1.2898 (1.3738) Prec@1 69.531 (68.099) Prec@5 83.594 (86.703) Epoch: [73][5680/10010] Time 0.330 (0.326) Data 0.001 (0.001) Loss 1.2332 (1.3737) Prec@1 70.312 (68.102) Prec@5 87.500 (86.706) Epoch: [73][5690/10010] Time 0.328 (0.326) Data 0.001 (0.001) Loss 1.2816 (1.3737) Prec@1 71.875 (68.103) Prec@5 88.281 (86.705) Epoch: [73][5700/10010] Time 0.336 (0.326) Data 0.001 (0.001) Loss 1.4817 (1.3737) Prec@1 64.062 (68.104) Prec@5 84.375 (86.706) Epoch: [73][5710/10010] Time 0.317 (0.326) Data 0.000 (0.001) Loss 1.6425 (1.3736) Prec@1 60.938 (68.107) Prec@5 84.375 (86.708) Epoch: [73][5720/10010] Time 0.312 (0.326) Data 0.001 (0.001) Loss 1.2220 (1.3735) Prec@1 74.219 (68.109) Prec@5 85.938 (86.708) Epoch: [73][5730/10010] Time 0.330 (0.326) Data 0.001 (0.001) Loss 1.2538 (1.3736) Prec@1 74.219 (68.111) Prec@5 91.406 (86.707) Epoch: [73][5740/10010] Time 0.336 (0.326) Data 0.001 (0.001) Loss 1.1635 (1.3736) Prec@1 71.094 (68.110) Prec@5 89.062 (86.707) Epoch: [73][5750/10010] Time 0.336 (0.326) Data 0.000 (0.001) Loss 1.5129 (1.3737) Prec@1 70.312 (68.111) Prec@5 83.594 (86.708) Epoch: [73][5760/10010] Time 0.338 (0.326) Data 0.001 (0.001) Loss 1.6475 (1.3736) Prec@1 63.281 (68.109) Prec@5 82.031 (86.707) Epoch: [73][5770/10010] Time 0.318 (0.326) Data 0.000 (0.001) Loss 1.3167 (1.3737) Prec@1 71.094 (68.109) Prec@5 87.500 (86.705) Epoch: [73][5780/10010] Time 0.338 (0.326) Data 0.001 (0.001) Loss 1.3547 (1.3737) Prec@1 69.531 (68.107) Prec@5 87.500 (86.704) Epoch: [73][5790/10010] Time 0.328 (0.326) Data 0.000 (0.001) Loss 1.4492 (1.3738) Prec@1 67.188 (68.106) Prec@5 85.938 (86.702) Epoch: [73][5800/10010] Time 0.341 (0.326) Data 0.001 (0.001) Loss 1.3475 (1.3737) Prec@1 75.781 (68.108) Prec@5 86.719 (86.702) Epoch: [73][5810/10010] Time 0.336 (0.326) Data 0.000 (0.001) Loss 1.5254 (1.3737) Prec@1 65.625 (68.110) Prec@5 82.031 (86.701) Epoch: [73][5820/10010] Time 0.320 (0.326) Data 0.000 (0.001) Loss 1.2987 (1.3737) Prec@1 72.656 (68.112) Prec@5 87.500 (86.701) Epoch: [73][5830/10010] Time 0.337 (0.326) Data 0.001 (0.001) Loss 1.3344 (1.3738) Prec@1 67.188 (68.112) Prec@5 88.281 (86.699) Epoch: [73][5840/10010] Time 0.338 (0.326) Data 0.001 (0.001) Loss 1.3605 (1.3739) Prec@1 67.188 (68.111) Prec@5 86.719 (86.696) Epoch: [73][5850/10010] Time 0.330 (0.326) Data 0.000 (0.001) Loss 1.3029 (1.3742) Prec@1 71.094 (68.106) Prec@5 88.281 (86.694) Epoch: [73][5860/10010] Time 0.336 (0.326) Data 0.001 (0.001) Loss 1.3668 (1.3741) Prec@1 71.094 (68.106) Prec@5 86.719 (86.695) Epoch: [73][5870/10010] Time 0.329 (0.326) Data 0.001 (0.001) Loss 1.5346 (1.3742) Prec@1 67.188 (68.106) Prec@5 82.812 (86.694) Epoch: [73][5880/10010] Time 0.332 (0.326) Data 0.001 (0.001) Loss 1.4868 (1.3742) Prec@1 65.625 (68.107) Prec@5 85.938 (86.695) Epoch: [73][5890/10010] Time 0.321 (0.326) Data 0.000 (0.001) Loss 1.4704 (1.3744) Prec@1 72.656 (68.102) Prec@5 85.156 (86.692) Epoch: [73][5900/10010] Time 0.314 (0.326) Data 0.000 (0.001) Loss 1.4867 (1.3746) Prec@1 63.281 (68.096) Prec@5 84.375 (86.691) Epoch: [73][5910/10010] Time 0.326 (0.326) Data 0.001 (0.001) Loss 1.1679 (1.3744) Prec@1 74.219 (68.100) Prec@5 89.844 (86.695) Epoch: [73][5920/10010] Time 0.335 (0.326) Data 0.001 (0.001) Loss 1.3448 (1.3743) Prec@1 67.969 (68.102) Prec@5 88.281 (86.697) Epoch: [73][5930/10010] Time 0.318 (0.326) Data 0.000 (0.001) Loss 1.5961 (1.3743) Prec@1 64.062 (68.098) Prec@5 83.594 (86.696) Epoch: [73][5940/10010] Time 0.319 (0.326) Data 0.000 (0.001) Loss 1.6797 (1.3742) Prec@1 63.281 (68.098) Prec@5 82.031 (86.697) Epoch: [73][5950/10010] Time 0.325 (0.326) Data 0.001 (0.001) Loss 1.5907 (1.3741) Prec@1 64.844 (68.100) Prec@5 83.594 (86.697) Epoch: [73][5960/10010] Time 0.312 (0.326) Data 0.001 (0.001) Loss 1.4010 (1.3742) Prec@1 70.312 (68.098) Prec@5 83.594 (86.695) Epoch: [73][5970/10010] Time 0.326 (0.326) Data 0.001 (0.001) Loss 1.4306 (1.3742) Prec@1 67.188 (68.100) Prec@5 85.938 (86.694) Epoch: [73][5980/10010] Time 0.317 (0.326) Data 0.001 (0.001) Loss 1.3026 (1.3741) Prec@1 65.625 (68.097) Prec@5 89.062 (86.695) Epoch: [73][5990/10010] Time 0.323 (0.326) Data 0.000 (0.001) Loss 1.3861 (1.3742) Prec@1 71.094 (68.095) Prec@5 89.844 (86.694) Epoch: [73][6000/10010] Time 0.325 (0.326) Data 0.000 (0.001) Loss 1.4155 (1.3742) Prec@1 67.969 (68.098) Prec@5 84.375 (86.695) Epoch: [73][6010/10010] Time 0.318 (0.326) Data 0.000 (0.001) Loss 1.1399 (1.3742) Prec@1 68.750 (68.097) Prec@5 89.844 (86.696) Epoch: [73][6020/10010] Time 0.325 (0.326) Data 0.001 (0.001) Loss 1.5090 (1.3743) Prec@1 61.719 (68.096) Prec@5 83.594 (86.694) Epoch: [73][6030/10010] Time 0.317 (0.326) Data 0.001 (0.001) Loss 1.1840 (1.3742) Prec@1 74.219 (68.099) Prec@5 90.625 (86.696) Epoch: [73][6040/10010] Time 0.327 (0.326) Data 0.000 (0.001) Loss 1.5075 (1.3741) Prec@1 67.188 (68.100) Prec@5 83.594 (86.697) Epoch: [73][6050/10010] Time 0.333 (0.326) Data 0.000 (0.001) Loss 1.3904 (1.3741) Prec@1 67.969 (68.099) Prec@5 85.156 (86.696) Epoch: [73][6060/10010] Time 0.339 (0.326) Data 0.000 (0.001) Loss 1.5276 (1.3741) Prec@1 60.156 (68.099) Prec@5 82.812 (86.694) Epoch: [73][6070/10010] Time 0.334 (0.326) Data 0.001 (0.001) Loss 1.5816 (1.3741) Prec@1 62.500 (68.102) Prec@5 82.812 (86.695) Epoch: [73][6080/10010] Time 0.327 (0.326) Data 0.000 (0.001) Loss 1.3766 (1.3740) Prec@1 66.406 (68.100) Prec@5 84.375 (86.695) Epoch: [73][6090/10010] Time 0.316 (0.326) Data 0.001 (0.001) Loss 1.4603 (1.3741) Prec@1 67.188 (68.100) Prec@5 86.719 (86.693) Epoch: [73][6100/10010] Time 0.319 (0.326) Data 0.000 (0.001) Loss 1.3510 (1.3742) Prec@1 68.750 (68.096) Prec@5 87.500 (86.691) Epoch: [73][6110/10010] Time 0.317 (0.326) Data 0.000 (0.001) Loss 1.3259 (1.3743) Prec@1 66.406 (68.095) Prec@5 86.719 (86.690) Epoch: [73][6120/10010] Time 0.345 (0.326) Data 0.000 (0.001) Loss 1.2605 (1.3743) Prec@1 69.531 (68.096) Prec@5 89.844 (86.690) Epoch: [73][6130/10010] Time 0.330 (0.326) Data 0.001 (0.001) Loss 1.7249 (1.3744) Prec@1 62.500 (68.093) Prec@5 82.031 (86.690) Epoch: [73][6140/10010] Time 0.340 (0.326) Data 0.000 (0.001) Loss 1.7184 (1.3744) Prec@1 61.719 (68.091) Prec@5 81.250 (86.689) Epoch: [73][6150/10010] Time 0.327 (0.326) Data 0.001 (0.001) Loss 1.3190 (1.3745) Prec@1 71.094 (68.091) Prec@5 85.938 (86.688) Epoch: [73][6160/10010] Time 0.320 (0.326) Data 0.000 (0.001) Loss 1.2439 (1.3746) Prec@1 71.875 (68.087) Prec@5 88.281 (86.687) Epoch: [73][6170/10010] Time 0.320 (0.326) Data 0.001 (0.001) Loss 1.3543 (1.3746) Prec@1 70.312 (68.086) Prec@5 89.062 (86.689) Epoch: [73][6180/10010] Time 0.324 (0.326) Data 0.001 (0.001) Loss 1.3752 (1.3745) Prec@1 68.750 (68.086) Prec@5 89.844 (86.691) Epoch: [73][6190/10010] Time 0.317 (0.326) Data 0.001 (0.001) Loss 1.3159 (1.3744) Prec@1 68.750 (68.087) Prec@5 88.281 (86.693) Epoch: [73][6200/10010] Time 0.343 (0.326) Data 0.001 (0.001) Loss 1.7440 (1.3744) Prec@1 56.250 (68.087) Prec@5 81.250 (86.694) Epoch: [73][6210/10010] Time 0.334 (0.326) Data 0.000 (0.001) Loss 1.2574 (1.3744) Prec@1 67.969 (68.088) Prec@5 86.719 (86.694) Epoch: [73][6220/10010] Time 0.320 (0.326) Data 0.000 (0.001) Loss 1.0767 (1.3745) Prec@1 70.312 (68.087) Prec@5 89.844 (86.692) Epoch: [73][6230/10010] Time 0.323 (0.326) Data 0.000 (0.001) Loss 1.3556 (1.3745) Prec@1 68.750 (68.088) Prec@5 85.938 (86.693) Epoch: [73][6240/10010] Time 0.312 (0.326) Data 0.001 (0.001) Loss 1.1996 (1.3746) Prec@1 70.312 (68.085) Prec@5 85.938 (86.690) Epoch: [73][6250/10010] Time 0.329 (0.326) Data 0.000 (0.001) Loss 0.9795 (1.3745) Prec@1 77.344 (68.085) Prec@5 92.969 (86.691) Epoch: [73][6260/10010] Time 0.333 (0.326) Data 0.000 (0.001) Loss 1.5812 (1.3745) Prec@1 64.062 (68.087) Prec@5 82.031 (86.689) Epoch: [73][6270/10010] Time 0.336 (0.326) Data 0.001 (0.001) Loss 1.3906 (1.3745) Prec@1 65.625 (68.085) Prec@5 85.156 (86.691) Epoch: [73][6280/10010] Time 0.327 (0.326) Data 0.000 (0.001) Loss 1.4315 (1.3745) Prec@1 71.875 (68.086) Prec@5 88.281 (86.692) Epoch: [73][6290/10010] Time 0.320 (0.326) Data 0.001 (0.001) Loss 1.5205 (1.3744) Prec@1 65.625 (68.087) Prec@5 87.500 (86.693) Epoch: [73][6300/10010] Time 0.341 (0.326) Data 0.000 (0.001) Loss 1.6212 (1.3744) Prec@1 60.938 (68.083) Prec@5 84.375 (86.693) Epoch: [73][6310/10010] Time 0.342 (0.326) Data 0.000 (0.001) Loss 1.3178 (1.3746) Prec@1 73.438 (68.080) Prec@5 90.625 (86.693) Epoch: [73][6320/10010] Time 0.315 (0.326) Data 0.001 (0.001) Loss 1.2568 (1.3745) Prec@1 72.656 (68.080) Prec@5 87.500 (86.694) Epoch: [73][6330/10010] Time 0.336 (0.326) Data 0.001 (0.001) Loss 1.2185 (1.3745) Prec@1 68.750 (68.078) Prec@5 90.625 (86.695) Epoch: [73][6340/10010] Time 0.318 (0.326) Data 0.001 (0.001) Loss 1.5451 (1.3745) Prec@1 62.500 (68.078) Prec@5 80.469 (86.695) Epoch: [73][6350/10010] Time 0.321 (0.326) Data 0.001 (0.001) Loss 1.5570 (1.3745) Prec@1 64.844 (68.078) Prec@5 82.031 (86.694) Epoch: [73][6360/10010] Time 0.331 (0.326) Data 0.001 (0.001) Loss 1.3661 (1.3745) Prec@1 69.531 (68.078) Prec@5 86.719 (86.694) Epoch: [73][6370/10010] Time 0.322 (0.326) Data 0.000 (0.001) Loss 1.4275 (1.3745) Prec@1 64.062 (68.077) Prec@5 85.938 (86.694) Epoch: [73][6380/10010] Time 0.335 (0.326) Data 0.001 (0.001) Loss 1.5007 (1.3745) Prec@1 68.750 (68.076) Prec@5 83.594 (86.695) Epoch: [73][6390/10010] Time 0.330 (0.326) Data 0.001 (0.001) Loss 1.2921 (1.3743) Prec@1 70.312 (68.079) Prec@5 89.062 (86.699) Epoch: [73][6400/10010] Time 0.317 (0.326) Data 0.001 (0.001) Loss 1.5000 (1.3744) Prec@1 64.844 (68.076) Prec@5 79.688 (86.696) Epoch: [73][6410/10010] Time 0.324 (0.326) Data 0.000 (0.001) Loss 1.3715 (1.3744) Prec@1 68.750 (68.079) Prec@5 90.625 (86.697) Epoch: [73][6420/10010] Time 0.338 (0.326) Data 0.000 (0.001) Loss 1.3508 (1.3743) Prec@1 70.312 (68.080) Prec@5 88.281 (86.699) Epoch: [73][6430/10010] Time 0.314 (0.326) Data 0.001 (0.001) Loss 1.4623 (1.3744) Prec@1 63.281 (68.075) Prec@5 85.156 (86.699) Epoch: [73][6440/10010] Time 0.327 (0.326) Data 0.000 (0.001) Loss 1.2727 (1.3745) Prec@1 72.656 (68.074) Prec@5 89.062 (86.696) Epoch: [73][6450/10010] Time 0.322 (0.326) Data 0.000 (0.001) Loss 1.3064 (1.3743) Prec@1 68.750 (68.077) Prec@5 88.281 (86.700) Epoch: [73][6460/10010] Time 0.319 (0.326) Data 0.000 (0.001) Loss 1.3907 (1.3743) Prec@1 71.094 (68.080) Prec@5 86.719 (86.701) Epoch: [73][6470/10010] Time 0.333 (0.326) Data 0.001 (0.001) Loss 1.1724 (1.3743) Prec@1 75.000 (68.082) Prec@5 87.500 (86.702) Epoch: [73][6480/10010] Time 0.336 (0.326) Data 0.001 (0.001) Loss 1.5979 (1.3743) Prec@1 61.719 (68.083) Prec@5 84.375 (86.701) Epoch: [73][6490/10010] Time 0.331 (0.326) Data 0.000 (0.001) Loss 1.2221 (1.3743) Prec@1 70.312 (68.082) Prec@5 85.156 (86.700) Epoch: [73][6500/10010] Time 0.326 (0.326) Data 0.001 (0.001) Loss 1.2332 (1.3743) Prec@1 69.531 (68.082) Prec@5 90.625 (86.702) Epoch: [73][6510/10010] Time 0.331 (0.326) Data 0.000 (0.001) Loss 1.4406 (1.3742) Prec@1 64.844 (68.083) Prec@5 85.938 (86.704) Epoch: [73][6520/10010] Time 0.317 (0.326) Data 0.000 (0.001) Loss 1.2464 (1.3741) Prec@1 71.094 (68.084) Prec@5 88.281 (86.705) Epoch: [73][6530/10010] Time 0.333 (0.326) Data 0.000 (0.001) Loss 1.2637 (1.3741) Prec@1 68.750 (68.085) Prec@5 90.625 (86.706) Epoch: [73][6540/10010] Time 0.329 (0.326) Data 0.001 (0.001) Loss 1.1099 (1.3741) Prec@1 71.094 (68.086) Prec@5 90.625 (86.708) Epoch: [73][6550/10010] Time 0.310 (0.326) Data 0.000 (0.001) Loss 1.2825 (1.3741) Prec@1 68.750 (68.087) Prec@5 89.062 (86.709) Epoch: [73][6560/10010] Time 0.316 (0.326) Data 0.001 (0.001) Loss 1.2272 (1.3742) Prec@1 70.312 (68.086) Prec@5 90.625 (86.708) Epoch: [73][6570/10010] Time 0.326 (0.326) Data 0.000 (0.001) Loss 1.4049 (1.3743) Prec@1 68.750 (68.085) Prec@5 85.156 (86.704) Epoch: [73][6580/10010] Time 0.331 (0.326) Data 0.001 (0.001) Loss 1.2438 (1.3740) Prec@1 72.656 (68.091) Prec@5 86.719 (86.707) Epoch: [73][6590/10010] Time 0.336 (0.326) Data 0.001 (0.001) Loss 1.2795 (1.3740) Prec@1 67.188 (68.090) Prec@5 88.281 (86.707) Epoch: [73][6600/10010] Time 0.328 (0.326) Data 0.001 (0.001) Loss 1.4053 (1.3741) Prec@1 62.500 (68.087) Prec@5 87.500 (86.706) Epoch: [73][6610/10010] Time 0.323 (0.326) Data 0.000 (0.001) Loss 1.6296 (1.3739) Prec@1 63.281 (68.091) Prec@5 80.469 (86.710) Epoch: [73][6620/10010] Time 0.322 (0.326) Data 0.001 (0.001) Loss 1.4649 (1.3739) Prec@1 63.281 (68.092) Prec@5 81.250 (86.709) Epoch: [73][6630/10010] Time 0.334 (0.326) Data 0.001 (0.001) Loss 1.2856 (1.3738) Prec@1 67.188 (68.094) Prec@5 91.406 (86.711) Epoch: [73][6640/10010] Time 0.315 (0.326) Data 0.000 (0.001) Loss 1.2945 (1.3737) Prec@1 73.438 (68.095) Prec@5 83.594 (86.710) Epoch: [73][6650/10010] Time 0.317 (0.326) Data 0.001 (0.001) Loss 1.4105 (1.3737) Prec@1 73.438 (68.096) Prec@5 85.156 (86.711) Epoch: [73][6660/10010] Time 0.329 (0.326) Data 0.000 (0.001) Loss 1.4058 (1.3735) Prec@1 69.531 (68.098) Prec@5 85.156 (86.712) Epoch: [73][6670/10010] Time 0.322 (0.326) Data 0.001 (0.001) Loss 1.4852 (1.3736) Prec@1 61.719 (68.096) Prec@5 86.719 (86.711) Epoch: [73][6680/10010] Time 0.321 (0.326) Data 0.000 (0.001) Loss 1.5636 (1.3736) Prec@1 62.500 (68.093) Prec@5 85.156 (86.711) Epoch: [73][6690/10010] Time 0.318 (0.326) Data 0.001 (0.001) Loss 1.3624 (1.3736) Prec@1 63.281 (68.093) Prec@5 85.938 (86.713) Epoch: [73][6700/10010] Time 0.338 (0.326) Data 0.001 (0.001) Loss 1.4628 (1.3738) Prec@1 61.719 (68.089) Prec@5 85.938 (86.708) Epoch: [73][6710/10010] Time 0.316 (0.326) Data 0.001 (0.001) Loss 1.2985 (1.3738) Prec@1 69.531 (68.088) Prec@5 87.500 (86.707) Epoch: [73][6720/10010] Time 0.320 (0.326) Data 0.000 (0.001) Loss 1.3714 (1.3738) Prec@1 71.094 (68.087) Prec@5 91.406 (86.709) Epoch: [73][6730/10010] Time 0.330 (0.326) Data 0.000 (0.001) Loss 1.3267 (1.3738) Prec@1 66.406 (68.086) Prec@5 87.500 (86.709) Epoch: [73][6740/10010] Time 0.329 (0.326) Data 0.000 (0.001) Loss 1.1784 (1.3738) Prec@1 67.969 (68.085) Prec@5 90.625 (86.708) Epoch: [73][6750/10010] Time 0.322 (0.326) Data 0.001 (0.001) Loss 1.0133 (1.3738) Prec@1 77.344 (68.084) Prec@5 92.188 (86.711) Epoch: [73][6760/10010] Time 0.317 (0.326) Data 0.001 (0.001) Loss 1.2543 (1.3737) Prec@1 72.656 (68.086) Prec@5 83.594 (86.712) Epoch: [73][6770/10010] Time 0.314 (0.326) Data 0.000 (0.001) Loss 1.6418 (1.3738) Prec@1 65.625 (68.083) Prec@5 84.375 (86.709) Epoch: [73][6780/10010] Time 0.332 (0.326) Data 0.001 (0.001) Loss 1.1023 (1.3737) Prec@1 71.875 (68.087) Prec@5 95.312 (86.711) Epoch: [73][6790/10010] Time 0.319 (0.326) Data 0.001 (0.001) Loss 1.3273 (1.3737) Prec@1 69.531 (68.086) Prec@5 85.156 (86.710) Epoch: [73][6800/10010] Time 0.333 (0.326) Data 0.001 (0.001) Loss 1.3583 (1.3737) Prec@1 69.531 (68.086) Prec@5 88.281 (86.710) Epoch: [73][6810/10010] Time 0.324 (0.326) Data 0.000 (0.001) Loss 1.4042 (1.3735) Prec@1 69.531 (68.087) Prec@5 87.500 (86.714) Epoch: [73][6820/10010] Time 0.317 (0.326) Data 0.000 (0.001) Loss 1.5046 (1.3736) Prec@1 67.188 (68.089) Prec@5 85.938 (86.713) Epoch: [73][6830/10010] Time 0.338 (0.326) Data 0.001 (0.001) Loss 1.3987 (1.3737) Prec@1 65.625 (68.085) Prec@5 85.156 (86.710) Epoch: [73][6840/10010] Time 0.316 (0.326) Data 0.001 (0.001) Loss 1.4021 (1.3738) Prec@1 71.094 (68.084) Prec@5 85.938 (86.711) Epoch: [73][6850/10010] Time 0.332 (0.326) Data 0.000 (0.001) Loss 1.3452 (1.3738) Prec@1 71.875 (68.084) Prec@5 90.625 (86.712) Epoch: [73][6860/10010] Time 0.320 (0.326) Data 0.001 (0.001) Loss 1.3011 (1.3738) Prec@1 74.219 (68.085) Prec@5 86.719 (86.712) Epoch: [73][6870/10010] Time 0.330 (0.326) Data 0.001 (0.001) Loss 1.2944 (1.3738) Prec@1 70.312 (68.085) Prec@5 89.062 (86.712) Epoch: [73][6880/10010] Time 0.330 (0.326) Data 0.001 (0.001) Loss 1.3421 (1.3737) Prec@1 67.188 (68.086) Prec@5 88.281 (86.714) Epoch: [73][6890/10010] Time 0.322 (0.326) Data 0.001 (0.001) Loss 1.5285 (1.3738) Prec@1 62.500 (68.082) Prec@5 86.719 (86.715) Epoch: [73][6900/10010] Time 0.327 (0.326) Data 0.000 (0.001) Loss 1.2694 (1.3738) Prec@1 69.531 (68.084) Prec@5 85.938 (86.714) Epoch: [73][6910/10010] Time 0.317 (0.326) Data 0.000 (0.001) Loss 1.3950 (1.3738) Prec@1 69.531 (68.086) Prec@5 83.594 (86.715) Epoch: [73][6920/10010] Time 0.334 (0.326) Data 0.001 (0.001) Loss 1.4491 (1.3738) Prec@1 64.062 (68.085) Prec@5 85.156 (86.714) Epoch: [73][6930/10010] Time 0.319 (0.326) Data 0.001 (0.001) Loss 1.1978 (1.3738) Prec@1 67.969 (68.087) Prec@5 87.500 (86.713) Epoch: [73][6940/10010] Time 0.323 (0.326) Data 0.000 (0.001) Loss 1.7419 (1.3738) Prec@1 60.938 (68.086) Prec@5 79.688 (86.712) Epoch: [73][6950/10010] Time 0.324 (0.326) Data 0.001 (0.001) Loss 1.6297 (1.3739) Prec@1 64.844 (68.084) Prec@5 82.812 (86.711) Epoch: [73][6960/10010] Time 0.313 (0.326) Data 0.001 (0.001) Loss 1.4238 (1.3739) Prec@1 70.312 (68.084) Prec@5 83.594 (86.709) Epoch: [73][6970/10010] Time 0.320 (0.326) Data 0.001 (0.001) Loss 1.2397 (1.3740) Prec@1 71.875 (68.083) Prec@5 89.844 (86.710) Epoch: [73][6980/10010] Time 0.338 (0.326) Data 0.001 (0.001) Loss 1.1502 (1.3739) Prec@1 75.000 (68.085) Prec@5 87.500 (86.710) Epoch: [73][6990/10010] Time 0.317 (0.326) Data 0.001 (0.001) Loss 1.4004 (1.3738) Prec@1 64.844 (68.086) Prec@5 86.719 (86.712) Epoch: [73][7000/10010] Time 0.344 (0.326) Data 0.001 (0.001) Loss 1.7213 (1.3740) Prec@1 64.062 (68.083) Prec@5 80.469 (86.710) Epoch: [73][7010/10010] Time 0.334 (0.326) Data 0.000 (0.001) Loss 1.2804 (1.3739) Prec@1 67.969 (68.081) Prec@5 85.156 (86.712) Epoch: [73][7020/10010] Time 0.324 (0.326) Data 0.000 (0.001) Loss 1.3521 (1.3739) Prec@1 67.969 (68.081) Prec@5 88.281 (86.711) Epoch: [73][7030/10010] Time 0.323 (0.326) Data 0.000 (0.001) Loss 1.0945 (1.3739) Prec@1 76.562 (68.082) Prec@5 91.406 (86.712) Epoch: [73][7040/10010] Time 0.318 (0.326) Data 0.001 (0.001) Loss 1.4835 (1.3739) Prec@1 67.969 (68.084) Prec@5 85.156 (86.711) Epoch: [73][7050/10010] Time 0.327 (0.326) Data 0.000 (0.001) Loss 1.3451 (1.3739) Prec@1 69.531 (68.086) Prec@5 85.938 (86.713) Epoch: [73][7060/10010] Time 0.334 (0.326) Data 0.000 (0.001) Loss 1.3377 (1.3739) Prec@1 67.188 (68.085) Prec@5 85.156 (86.715) Epoch: [73][7070/10010] Time 0.338 (0.326) Data 0.001 (0.001) Loss 1.5947 (1.3738) Prec@1 66.406 (68.085) Prec@5 85.156 (86.715) Epoch: [73][7080/10010] Time 0.318 (0.326) Data 0.001 (0.001) Loss 1.2878 (1.3738) Prec@1 70.312 (68.084) Prec@5 85.156 (86.713) Epoch: [73][7090/10010] Time 0.339 (0.326) Data 0.001 (0.001) Loss 1.4829 (1.3738) Prec@1 64.844 (68.083) Prec@5 85.938 (86.713) Epoch: [73][7100/10010] Time 0.333 (0.326) Data 0.001 (0.001) Loss 1.3400 (1.3738) Prec@1 70.312 (68.082) Prec@5 90.625 (86.713) Epoch: [73][7110/10010] Time 0.319 (0.326) Data 0.001 (0.001) Loss 1.4085 (1.3738) Prec@1 69.531 (68.083) Prec@5 87.500 (86.713) Epoch: [73][7120/10010] Time 0.333 (0.326) Data 0.001 (0.001) Loss 1.4884 (1.3739) Prec@1 64.844 (68.080) Prec@5 88.281 (86.713) Epoch: [73][7130/10010] Time 0.317 (0.326) Data 0.001 (0.001) Loss 1.2902 (1.3739) Prec@1 71.875 (68.081) Prec@5 85.156 (86.714) Epoch: [73][7140/10010] Time 0.321 (0.326) Data 0.001 (0.001) Loss 1.2957 (1.3739) Prec@1 71.094 (68.078) Prec@5 87.500 (86.714) Epoch: [73][7150/10010] Time 0.341 (0.326) Data 0.000 (0.001) Loss 1.4487 (1.3741) Prec@1 67.188 (68.075) Prec@5 85.156 (86.713) Epoch: [73][7160/10010] Time 0.321 (0.326) Data 0.000 (0.001) Loss 1.2200 (1.3740) Prec@1 67.969 (68.075) Prec@5 90.625 (86.713) Epoch: [73][7170/10010] Time 0.326 (0.326) Data 0.001 (0.001) Loss 1.1533 (1.3741) Prec@1 71.875 (68.076) Prec@5 90.625 (86.712) Epoch: [73][7180/10010] Time 0.321 (0.326) Data 0.001 (0.001) Loss 1.2910 (1.3741) Prec@1 72.656 (68.077) Prec@5 87.500 (86.712) Epoch: [73][7190/10010] Time 0.324 (0.326) Data 0.000 (0.001) Loss 1.2454 (1.3741) Prec@1 70.312 (68.077) Prec@5 85.938 (86.710) Epoch: [73][7200/10010] Time 0.320 (0.326) Data 0.001 (0.001) Loss 1.6281 (1.3742) Prec@1 64.062 (68.077) Prec@5 82.812 (86.710) Epoch: [73][7210/10010] Time 0.318 (0.326) Data 0.001 (0.001) Loss 1.2572 (1.3742) Prec@1 71.094 (68.078) Prec@5 87.500 (86.709) Epoch: [73][7220/10010] Time 0.332 (0.326) Data 0.000 (0.001) Loss 1.4301 (1.3741) Prec@1 66.406 (68.081) Prec@5 87.500 (86.710) Epoch: [73][7230/10010] Time 0.331 (0.326) Data 0.001 (0.001) Loss 1.2130 (1.3742) Prec@1 67.969 (68.078) Prec@5 89.844 (86.708) Epoch: [73][7240/10010] Time 0.329 (0.326) Data 0.001 (0.001) Loss 1.2906 (1.3741) Prec@1 70.312 (68.080) Prec@5 89.062 (86.708) Epoch: [73][7250/10010] Time 0.336 (0.326) Data 0.000 (0.001) Loss 1.1742 (1.3741) Prec@1 75.781 (68.082) Prec@5 85.938 (86.710) Epoch: [73][7260/10010] Time 0.340 (0.326) Data 0.000 (0.001) Loss 1.5285 (1.3740) Prec@1 62.500 (68.084) Prec@5 82.812 (86.710) Epoch: [73][7270/10010] Time 0.347 (0.326) Data 0.000 (0.001) Loss 1.3449 (1.3739) Prec@1 65.625 (68.087) Prec@5 86.719 (86.710) Epoch: [73][7280/10010] Time 0.339 (0.326) Data 0.001 (0.001) Loss 1.2300 (1.3739) Prec@1 72.656 (68.088) Prec@5 89.062 (86.710) Epoch: [73][7290/10010] Time 0.328 (0.326) Data 0.000 (0.001) Loss 1.3955 (1.3738) Prec@1 63.281 (68.088) Prec@5 88.281 (86.713) Epoch: [73][7300/10010] Time 0.337 (0.326) Data 0.001 (0.001) Loss 1.3503 (1.3739) Prec@1 67.969 (68.086) Prec@5 88.281 (86.712) Epoch: [73][7310/10010] Time 0.315 (0.326) Data 0.001 (0.001) Loss 1.2605 (1.3739) Prec@1 71.094 (68.086) Prec@5 88.281 (86.713) Epoch: [73][7320/10010] Time 0.324 (0.326) Data 0.001 (0.001) Loss 1.2835 (1.3740) Prec@1 66.406 (68.083) Prec@5 89.062 (86.712) Epoch: [73][7330/10010] Time 0.334 (0.326) Data 0.000 (0.001) Loss 1.6541 (1.3740) Prec@1 63.281 (68.083) Prec@5 79.688 (86.712) Epoch: [73][7340/10010] Time 0.316 (0.326) Data 0.000 (0.001) Loss 1.6670 (1.3741) Prec@1 63.281 (68.080) Prec@5 80.469 (86.710) Epoch: [73][7350/10010] Time 0.342 (0.326) Data 0.000 (0.001) Loss 1.3792 (1.3742) Prec@1 71.094 (68.079) Prec@5 86.719 (86.706) Epoch: [73][7360/10010] Time 0.312 (0.326) Data 0.001 (0.001) Loss 1.2168 (1.3740) Prec@1 75.781 (68.083) Prec@5 87.500 (86.707) Epoch: [73][7370/10010] Time 0.319 (0.326) Data 0.001 (0.001) Loss 1.4163 (1.3740) Prec@1 62.500 (68.083) Prec@5 90.625 (86.709) Epoch: [73][7380/10010] Time 0.312 (0.326) Data 0.001 (0.001) Loss 1.4057 (1.3741) Prec@1 70.312 (68.082) Prec@5 84.375 (86.709) Epoch: [73][7390/10010] Time 0.318 (0.326) Data 0.001 (0.001) Loss 1.4581 (1.3741) Prec@1 65.625 (68.082) Prec@5 85.938 (86.709) Epoch: [73][7400/10010] Time 0.339 (0.326) Data 0.001 (0.001) Loss 1.3532 (1.3740) Prec@1 67.969 (68.083) Prec@5 87.500 (86.711) Epoch: [73][7410/10010] Time 0.332 (0.326) Data 0.000 (0.001) Loss 1.3544 (1.3739) Prec@1 72.656 (68.083) Prec@5 86.719 (86.711) Epoch: [73][7420/10010] Time 0.338 (0.326) Data 0.000 (0.001) Loss 1.2162 (1.3739) Prec@1 75.000 (68.085) Prec@5 89.844 (86.711) Epoch: [73][7430/10010] Time 0.337 (0.326) Data 0.000 (0.001) Loss 1.2124 (1.3739) Prec@1 75.000 (68.086) Prec@5 88.281 (86.713) Epoch: [73][7440/10010] Time 0.332 (0.326) Data 0.000 (0.001) Loss 1.4763 (1.3738) Prec@1 67.969 (68.088) Prec@5 84.375 (86.714) Epoch: [73][7450/10010] Time 0.331 (0.326) Data 0.001 (0.001) Loss 1.2801 (1.3738) Prec@1 75.781 (68.087) Prec@5 88.281 (86.714) Epoch: [73][7460/10010] Time 0.333 (0.326) Data 0.000 (0.001) Loss 1.5025 (1.3740) Prec@1 75.000 (68.085) Prec@5 84.375 (86.710) Epoch: [73][7470/10010] Time 0.320 (0.326) Data 0.001 (0.001) Loss 1.4194 (1.3741) Prec@1 70.312 (68.084) Prec@5 82.812 (86.709) Epoch: [73][7480/10010] Time 0.334 (0.326) Data 0.000 (0.001) Loss 1.2626 (1.3740) Prec@1 67.188 (68.085) Prec@5 88.281 (86.710) Epoch: [73][7490/10010] Time 0.321 (0.326) Data 0.001 (0.001) Loss 1.1587 (1.3741) Prec@1 75.781 (68.084) Prec@5 89.844 (86.710) Epoch: [73][7500/10010] Time 0.320 (0.326) Data 0.000 (0.001) Loss 1.2794 (1.3741) Prec@1 69.531 (68.085) Prec@5 90.625 (86.709) Epoch: [73][7510/10010] Time 0.327 (0.326) Data 0.001 (0.001) Loss 1.2549 (1.3741) Prec@1 71.094 (68.084) Prec@5 87.500 (86.708) Epoch: [73][7520/10010] Time 0.315 (0.326) Data 0.001 (0.001) Loss 1.5049 (1.3742) Prec@1 64.844 (68.083) Prec@5 85.156 (86.708) Epoch: [73][7530/10010] Time 0.327 (0.326) Data 0.001 (0.001) Loss 1.3814 (1.3741) Prec@1 67.969 (68.086) Prec@5 85.938 (86.708) Epoch: [73][7540/10010] Time 0.315 (0.326) Data 0.001 (0.001) Loss 1.6820 (1.3742) Prec@1 62.500 (68.085) Prec@5 81.250 (86.707) Epoch: [73][7550/10010] Time 0.318 (0.326) Data 0.000 (0.001) Loss 0.9414 (1.3741) Prec@1 78.906 (68.086) Prec@5 92.969 (86.708) Epoch: [73][7560/10010] Time 0.321 (0.326) Data 0.001 (0.001) Loss 1.3148 (1.3743) Prec@1 70.312 (68.083) Prec@5 85.156 (86.705) Epoch: [73][7570/10010] Time 0.336 (0.326) Data 0.001 (0.001) Loss 1.2612 (1.3742) Prec@1 71.094 (68.083) Prec@5 88.281 (86.707) Epoch: [73][7580/10010] Time 0.338 (0.326) Data 0.000 (0.001) Loss 1.3403 (1.3741) Prec@1 67.969 (68.083) Prec@5 90.625 (86.708) Epoch: [73][7590/10010] Time 0.321 (0.326) Data 0.001 (0.001) Loss 1.3660 (1.3743) Prec@1 68.750 (68.082) Prec@5 88.281 (86.704) Epoch: [73][7600/10010] Time 0.319 (0.326) Data 0.001 (0.001) Loss 1.6251 (1.3744) Prec@1 65.625 (68.079) Prec@5 85.938 (86.702) Epoch: [73][7610/10010] Time 0.328 (0.326) Data 0.001 (0.001) Loss 1.6031 (1.3744) Prec@1 60.938 (68.079) Prec@5 84.375 (86.703) Epoch: [73][7620/10010] Time 0.314 (0.326) Data 0.001 (0.001) Loss 1.2508 (1.3745) Prec@1 72.656 (68.077) Prec@5 89.062 (86.702) Epoch: [73][7630/10010] Time 0.320 (0.326) Data 0.000 (0.001) Loss 1.8886 (1.3746) Prec@1 65.625 (68.074) Prec@5 77.344 (86.702) Epoch: [73][7640/10010] Time 0.322 (0.326) Data 0.001 (0.001) Loss 1.4545 (1.3746) Prec@1 70.312 (68.074) Prec@5 85.156 (86.703) Epoch: [73][7650/10010] Time 0.335 (0.326) Data 0.000 (0.001) Loss 1.1864 (1.3745) Prec@1 70.312 (68.073) Prec@5 87.500 (86.703) Epoch: [73][7660/10010] Time 0.316 (0.326) Data 0.000 (0.001) Loss 1.1929 (1.3744) Prec@1 72.656 (68.077) Prec@5 85.156 (86.703) Epoch: [73][7670/10010] Time 0.339 (0.326) Data 0.000 (0.001) Loss 1.2371 (1.3745) Prec@1 69.531 (68.077) Prec@5 90.625 (86.703) Epoch: [73][7680/10010] Time 0.332 (0.326) Data 0.000 (0.001) Loss 1.4580 (1.3744) Prec@1 64.844 (68.076) Prec@5 87.500 (86.705) Epoch: [73][7690/10010] Time 0.321 (0.326) Data 0.001 (0.001) Loss 1.2622 (1.3743) Prec@1 68.750 (68.077) Prec@5 89.062 (86.706) Epoch: [73][7700/10010] Time 0.328 (0.326) Data 0.000 (0.001) Loss 1.2050 (1.3742) Prec@1 72.656 (68.081) Prec@5 85.156 (86.707) Epoch: [73][7710/10010] Time 0.322 (0.326) Data 0.000 (0.001) Loss 1.4262 (1.3741) Prec@1 67.969 (68.082) Prec@5 87.500 (86.708) Epoch: [73][7720/10010] Time 0.330 (0.326) Data 0.001 (0.001) Loss 1.1984 (1.3742) Prec@1 75.000 (68.080) Prec@5 89.062 (86.706) Epoch: [73][7730/10010] Time 0.335 (0.326) Data 0.001 (0.001) Loss 1.4458 (1.3742) Prec@1 64.844 (68.079) Prec@5 84.375 (86.707) Epoch: [73][7740/10010] Time 0.320 (0.326) Data 0.001 (0.001) Loss 1.4195 (1.3742) Prec@1 70.312 (68.082) Prec@5 85.938 (86.707) Epoch: [73][7750/10010] Time 0.314 (0.326) Data 0.001 (0.001) Loss 1.2875 (1.3742) Prec@1 68.750 (68.083) Prec@5 87.500 (86.707) Epoch: [73][7760/10010] Time 0.333 (0.326) Data 0.000 (0.001) Loss 1.3420 (1.3741) Prec@1 66.406 (68.085) Prec@5 83.594 (86.707) Epoch: [73][7770/10010] Time 0.319 (0.326) Data 0.001 (0.001) Loss 1.3207 (1.3740) Prec@1 66.406 (68.086) Prec@5 87.500 (86.710) Epoch: [73][7780/10010] Time 0.341 (0.326) Data 0.000 (0.001) Loss 1.3697 (1.3740) Prec@1 69.531 (68.086) Prec@5 87.500 (86.708) Epoch: [73][7790/10010] Time 0.330 (0.326) Data 0.000 (0.001) Loss 1.4290 (1.3740) Prec@1 65.625 (68.086) Prec@5 85.938 (86.707) Epoch: [73][7800/10010] Time 0.318 (0.326) Data 0.000 (0.001) Loss 1.4091 (1.3740) Prec@1 68.750 (68.088) Prec@5 86.719 (86.706) Epoch: [73][7810/10010] Time 0.317 (0.326) Data 0.000 (0.001) Loss 1.4051 (1.3740) Prec@1 68.750 (68.090) Prec@5 88.281 (86.706) Epoch: [73][7820/10010] Time 0.335 (0.326) Data 0.001 (0.001) Loss 1.4874 (1.3740) Prec@1 64.062 (68.088) Prec@5 84.375 (86.705) Epoch: [73][7830/10010] Time 0.322 (0.326) Data 0.001 (0.001) Loss 1.5211 (1.3740) Prec@1 65.625 (68.091) Prec@5 85.938 (86.705) Epoch: [73][7840/10010] Time 0.321 (0.326) Data 0.001 (0.001) Loss 1.2241 (1.3740) Prec@1 68.750 (68.089) Prec@5 90.625 (86.706) Epoch: [73][7850/10010] Time 0.321 (0.326) Data 0.000 (0.001) Loss 1.3763 (1.3739) Prec@1 65.625 (68.092) Prec@5 87.500 (86.708) Epoch: [73][7860/10010] Time 0.316 (0.326) Data 0.000 (0.001) Loss 1.4930 (1.3739) Prec@1 64.062 (68.091) Prec@5 82.031 (86.706) Epoch: [73][7870/10010] Time 0.341 (0.326) Data 0.000 (0.001) Loss 1.5770 (1.3739) Prec@1 62.500 (68.094) Prec@5 83.594 (86.707) Epoch: [73][7880/10010] Time 0.326 (0.326) Data 0.001 (0.001) Loss 1.4076 (1.3738) Prec@1 64.844 (68.096) Prec@5 86.719 (86.709) Epoch: [73][7890/10010] Time 0.322 (0.326) Data 0.001 (0.001) Loss 1.3909 (1.3739) Prec@1 63.281 (68.094) Prec@5 87.500 (86.709) Epoch: [73][7900/10010] Time 0.328 (0.326) Data 0.000 (0.001) Loss 1.6562 (1.3739) Prec@1 62.500 (68.094) Prec@5 82.812 (86.708) Epoch: [73][7910/10010] Time 0.344 (0.326) Data 0.001 (0.001) Loss 1.4248 (1.3739) Prec@1 64.062 (68.092) Prec@5 86.719 (86.708) Epoch: [73][7920/10010] Time 0.326 (0.326) Data 0.001 (0.001) Loss 1.5130 (1.3739) Prec@1 65.625 (68.090) Prec@5 84.375 (86.708) Epoch: [73][7930/10010] Time 0.330 (0.326) Data 0.001 (0.001) Loss 1.0139 (1.3740) Prec@1 73.438 (68.089) Prec@5 91.406 (86.708) Epoch: [73][7940/10010] Time 0.314 (0.326) Data 0.000 (0.001) Loss 1.2501 (1.3739) Prec@1 71.875 (68.088) Prec@5 88.281 (86.707) Epoch: [73][7950/10010] Time 0.338 (0.326) Data 0.000 (0.001) Loss 1.4125 (1.3740) Prec@1 70.312 (68.089) Prec@5 89.062 (86.708) Epoch: [73][7960/10010] Time 0.324 (0.326) Data 0.001 (0.001) Loss 1.2967 (1.3739) Prec@1 68.750 (68.091) Prec@5 88.281 (86.709) Epoch: [73][7970/10010] Time 0.324 (0.326) Data 0.000 (0.001) Loss 1.2585 (1.3739) Prec@1 70.312 (68.090) Prec@5 86.719 (86.711) Epoch: [73][7980/10010] Time 0.333 (0.326) Data 0.000 (0.001) Loss 1.4553 (1.3738) Prec@1 69.531 (68.092) Prec@5 86.719 (86.712) Epoch: [73][7990/10010] Time 0.311 (0.326) Data 0.001 (0.001) Loss 1.1757 (1.3738) Prec@1 67.188 (68.090) Prec@5 89.062 (86.711) Epoch: [73][8000/10010] Time 0.336 (0.326) Data 0.001 (0.001) Loss 1.2413 (1.3739) Prec@1 68.750 (68.088) Prec@5 86.719 (86.709) Epoch: [73][8010/10010] Time 0.334 (0.326) Data 0.001 (0.001) Loss 1.1860 (1.3739) Prec@1 71.875 (68.089) Prec@5 89.844 (86.710) Epoch: [73][8020/10010] Time 0.321 (0.326) Data 0.001 (0.001) Loss 1.3283 (1.3739) Prec@1 69.531 (68.086) Prec@5 86.719 (86.709) Epoch: [73][8030/10010] Time 0.324 (0.326) Data 0.000 (0.001) Loss 1.4574 (1.3739) Prec@1 66.406 (68.086) Prec@5 87.500 (86.711) Epoch: [73][8040/10010] Time 0.318 (0.326) Data 0.001 (0.001) Loss 1.4757 (1.3739) Prec@1 65.625 (68.086) Prec@5 86.719 (86.710) Epoch: [73][8050/10010] Time 0.328 (0.326) Data 0.001 (0.001) Loss 1.5956 (1.3740) Prec@1 61.719 (68.085) Prec@5 85.938 (86.709) Epoch: [73][8060/10010] Time 0.325 (0.326) Data 0.001 (0.001) Loss 1.4264 (1.3739) Prec@1 66.406 (68.087) Prec@5 85.938 (86.710) Epoch: [73][8070/10010] Time 0.334 (0.326) Data 0.001 (0.001) Loss 1.4616 (1.3739) Prec@1 73.438 (68.086) Prec@5 86.719 (86.709) Epoch: [73][8080/10010] Time 0.319 (0.326) Data 0.001 (0.001) Loss 1.6410 (1.3740) Prec@1 60.938 (68.085) Prec@5 84.375 (86.708) Epoch: [73][8090/10010] Time 0.325 (0.326) Data 0.001 (0.001) Loss 1.2734 (1.3741) Prec@1 64.844 (68.082) Prec@5 87.500 (86.706) Epoch: [73][8100/10010] Time 0.326 (0.326) Data 0.000 (0.001) Loss 1.4827 (1.3741) Prec@1 66.406 (68.083) Prec@5 84.375 (86.706) Epoch: [73][8110/10010] Time 0.340 (0.326) Data 0.001 (0.001) Loss 1.3770 (1.3741) Prec@1 69.531 (68.083) Prec@5 87.500 (86.705) Epoch: [73][8120/10010] Time 0.311 (0.326) Data 0.001 (0.001) Loss 1.4008 (1.3740) Prec@1 67.188 (68.083) Prec@5 86.719 (86.706) Epoch: [73][8130/10010] Time 0.324 (0.326) Data 0.001 (0.001) Loss 1.3311 (1.3741) Prec@1 68.750 (68.081) Prec@5 87.500 (86.704) Epoch: [73][8140/10010] Time 0.318 (0.326) Data 0.001 (0.001) Loss 1.8302 (1.3742) Prec@1 57.812 (68.079) Prec@5 78.906 (86.703) Epoch: [73][8150/10010] Time 0.337 (0.326) Data 0.001 (0.001) Loss 1.1652 (1.3742) Prec@1 73.438 (68.078) Prec@5 89.844 (86.702) Epoch: [73][8160/10010] Time 0.317 (0.326) Data 0.001 (0.001) Loss 1.3962 (1.3743) Prec@1 71.094 (68.078) Prec@5 87.500 (86.701) Epoch: [73][8170/10010] Time 0.324 (0.326) Data 0.001 (0.001) Loss 1.5772 (1.3742) Prec@1 63.281 (68.077) Prec@5 85.156 (86.701) Epoch: [73][8180/10010] Time 0.318 (0.326) Data 0.001 (0.001) Loss 1.8158 (1.3743) Prec@1 61.719 (68.074) Prec@5 78.906 (86.700) Epoch: [73][8190/10010] Time 0.336 (0.326) Data 0.001 (0.001) Loss 1.3237 (1.3743) Prec@1 72.656 (68.075) Prec@5 86.719 (86.701) Epoch: [73][8200/10010] Time 0.330 (0.326) Data 0.001 (0.001) Loss 1.1348 (1.3743) Prec@1 71.094 (68.074) Prec@5 92.188 (86.701) Epoch: [73][8210/10010] Time 0.340 (0.326) Data 0.000 (0.001) Loss 1.3251 (1.3744) Prec@1 67.969 (68.073) Prec@5 86.719 (86.700) Epoch: [73][8220/10010] Time 0.338 (0.326) Data 0.000 (0.001) Loss 1.4039 (1.3744) Prec@1 65.625 (68.072) Prec@5 87.500 (86.700) Epoch: [73][8230/10010] Time 0.318 (0.326) Data 0.000 (0.001) Loss 1.3250 (1.3743) Prec@1 69.531 (68.071) Prec@5 86.719 (86.700) Epoch: [73][8240/10010] Time 0.332 (0.326) Data 0.001 (0.001) Loss 1.3839 (1.3744) Prec@1 67.188 (68.071) Prec@5 85.156 (86.699) Epoch: [73][8250/10010] Time 0.338 (0.326) Data 0.001 (0.001) Loss 1.5668 (1.3744) Prec@1 63.281 (68.070) Prec@5 85.938 (86.697) Epoch: [73][8260/10010] Time 0.316 (0.326) Data 0.001 (0.001) Loss 1.1956 (1.3743) Prec@1 75.781 (68.070) Prec@5 86.719 (86.698) Epoch: [73][8270/10010] Time 0.331 (0.326) Data 0.001 (0.001) Loss 1.3806 (1.3743) Prec@1 69.531 (68.071) Prec@5 85.156 (86.699) Epoch: [73][8280/10010] Time 0.328 (0.326) Data 0.001 (0.001) Loss 1.1591 (1.3742) Prec@1 71.875 (68.073) Prec@5 92.188 (86.700) Epoch: [73][8290/10010] Time 0.331 (0.326) Data 0.001 (0.001) Loss 1.0937 (1.3742) Prec@1 71.094 (68.073) Prec@5 89.062 (86.699) Epoch: [73][8300/10010] Time 0.338 (0.326) Data 0.000 (0.001) Loss 1.4325 (1.3743) Prec@1 67.188 (68.071) Prec@5 85.938 (86.698) Epoch: [73][8310/10010] Time 0.325 (0.326) Data 0.001 (0.001) Loss 1.2105 (1.3744) Prec@1 74.219 (68.070) Prec@5 86.719 (86.696) Epoch: [73][8320/10010] Time 0.325 (0.326) Data 0.001 (0.001) Loss 1.2449 (1.3744) Prec@1 71.875 (68.070) Prec@5 86.719 (86.697) Epoch: [73][8330/10010] Time 0.320 (0.326) Data 0.000 (0.001) Loss 1.2459 (1.3744) Prec@1 69.531 (68.070) Prec@5 84.375 (86.696) Epoch: [73][8340/10010] Time 0.315 (0.326) Data 0.001 (0.001) Loss 1.5600 (1.3745) Prec@1 66.406 (68.069) Prec@5 82.812 (86.693) Epoch: [73][8350/10010] Time 0.326 (0.326) Data 0.000 (0.001) Loss 1.0608 (1.3746) Prec@1 77.344 (68.068) Prec@5 89.062 (86.693) Epoch: [73][8360/10010] Time 0.331 (0.326) Data 0.001 (0.001) Loss 1.5778 (1.3745) Prec@1 66.406 (68.069) Prec@5 80.469 (86.692) Epoch: [73][8370/10010] Time 0.338 (0.326) Data 0.001 (0.001) Loss 1.1459 (1.3745) Prec@1 71.875 (68.071) Prec@5 89.062 (86.694) Epoch: [73][8380/10010] Time 0.335 (0.326) Data 0.001 (0.001) Loss 1.3327 (1.3745) Prec@1 67.188 (68.070) Prec@5 86.719 (86.694) Epoch: [73][8390/10010] Time 0.315 (0.326) Data 0.001 (0.001) Loss 1.2454 (1.3745) Prec@1 70.312 (68.069) Prec@5 88.281 (86.693) Epoch: [73][8400/10010] Time 0.320 (0.326) Data 0.001 (0.001) Loss 1.1723 (1.3744) Prec@1 74.219 (68.070) Prec@5 87.500 (86.693) Epoch: [73][8410/10010] Time 0.336 (0.326) Data 0.000 (0.001) Loss 1.4460 (1.3744) Prec@1 65.625 (68.068) Prec@5 85.156 (86.694) Epoch: [73][8420/10010] Time 0.320 (0.326) Data 0.001 (0.001) Loss 1.4278 (1.3745) Prec@1 70.312 (68.067) Prec@5 84.375 (86.692) Epoch: [73][8430/10010] Time 0.336 (0.326) Data 0.001 (0.001) Loss 1.4191 (1.3745) Prec@1 64.062 (68.066) Prec@5 85.156 (86.692) Epoch: [73][8440/10010] Time 0.318 (0.326) Data 0.000 (0.001) Loss 1.4363 (1.3743) Prec@1 64.844 (68.071) Prec@5 83.594 (86.695) Epoch: [73][8450/10010] Time 0.317 (0.326) Data 0.001 (0.001) Loss 1.6526 (1.3744) Prec@1 61.719 (68.068) Prec@5 80.469 (86.693) Epoch: [73][8460/10010] Time 0.315 (0.326) Data 0.001 (0.001) Loss 1.2610 (1.3744) Prec@1 67.969 (68.070) Prec@5 85.156 (86.695) Epoch: [73][8470/10010] Time 0.324 (0.326) Data 0.001 (0.001) Loss 1.3633 (1.3744) Prec@1 67.188 (68.070) Prec@5 86.719 (86.695) Epoch: [73][8480/10010] Time 0.314 (0.326) Data 0.001 (0.001) Loss 1.3443 (1.3744) Prec@1 69.531 (68.068) Prec@5 86.719 (86.696) Epoch: [73][8490/10010] Time 0.330 (0.326) Data 0.001 (0.001) Loss 1.1672 (1.3744) Prec@1 71.094 (68.068) Prec@5 90.625 (86.695) Epoch: [73][8500/10010] Time 0.336 (0.326) Data 0.001 (0.001) Loss 1.2614 (1.3745) Prec@1 70.312 (68.067) Prec@5 89.062 (86.694) Epoch: [73][8510/10010] Time 0.326 (0.326) Data 0.000 (0.001) Loss 1.5428 (1.3745) Prec@1 67.188 (68.067) Prec@5 83.594 (86.693) Epoch: [73][8520/10010] Time 0.315 (0.326) Data 0.000 (0.001) Loss 1.3150 (1.3745) Prec@1 70.312 (68.067) Prec@5 87.500 (86.693) Epoch: [73][8530/10010] Time 0.321 (0.326) Data 0.001 (0.001) Loss 1.4541 (1.3745) Prec@1 66.406 (68.067) Prec@5 85.156 (86.694) Epoch: [73][8540/10010] Time 0.314 (0.326) Data 0.001 (0.001) Loss 1.2908 (1.3745) Prec@1 64.844 (68.065) Prec@5 86.719 (86.692) Epoch: [73][8550/10010] Time 0.317 (0.326) Data 0.000 (0.001) Loss 1.4714 (1.3746) Prec@1 67.188 (68.064) Prec@5 84.375 (86.691) Epoch: [73][8560/10010] Time 0.325 (0.326) Data 0.001 (0.001) Loss 1.7699 (1.3748) Prec@1 60.156 (68.061) Prec@5 77.344 (86.689) Epoch: [73][8570/10010] Time 0.316 (0.326) Data 0.001 (0.001) Loss 1.0803 (1.3748) Prec@1 75.000 (68.061) Prec@5 90.625 (86.688) Epoch: [73][8580/10010] Time 0.322 (0.326) Data 0.001 (0.001) Loss 1.3844 (1.3748) Prec@1 66.406 (68.061) Prec@5 84.375 (86.688) Epoch: [73][8590/10010] Time 0.318 (0.326) Data 0.001 (0.001) Loss 1.5523 (1.3749) Prec@1 62.500 (68.060) Prec@5 84.375 (86.687) Epoch: [73][8600/10010] Time 0.321 (0.326) Data 0.001 (0.001) Loss 1.4404 (1.3749) Prec@1 66.406 (68.060) Prec@5 86.719 (86.687) Epoch: [73][8610/10010] Time 0.335 (0.326) Data 0.000 (0.001) Loss 1.3689 (1.3750) Prec@1 71.094 (68.058) Prec@5 87.500 (86.687) Epoch: [73][8620/10010] Time 0.319 (0.326) Data 0.001 (0.001) Loss 1.5522 (1.3750) Prec@1 64.844 (68.058) Prec@5 83.594 (86.685) Epoch: [73][8630/10010] Time 0.319 (0.326) Data 0.001 (0.001) Loss 1.6934 (1.3750) Prec@1 61.719 (68.060) Prec@5 80.469 (86.685) Epoch: [73][8640/10010] Time 0.327 (0.326) Data 0.001 (0.001) Loss 2.0134 (1.3750) Prec@1 58.594 (68.060) Prec@5 79.688 (86.684) Epoch: [73][8650/10010] Time 0.315 (0.326) Data 0.001 (0.001) Loss 1.3517 (1.3750) Prec@1 67.188 (68.060) Prec@5 88.281 (86.684) Epoch: [73][8660/10010] Time 0.338 (0.326) Data 0.001 (0.001) Loss 1.4776 (1.3750) Prec@1 67.969 (68.058) Prec@5 82.031 (86.684) Epoch: [73][8670/10010] Time 0.317 (0.326) Data 0.001 (0.001) Loss 1.1480 (1.3751) Prec@1 74.219 (68.058) Prec@5 94.531 (86.683) Epoch: [73][8680/10010] Time 0.312 (0.326) Data 0.001 (0.001) Loss 1.3563 (1.3751) Prec@1 69.531 (68.058) Prec@5 82.812 (86.682) Epoch: [73][8690/10010] Time 0.336 (0.326) Data 0.001 (0.001) Loss 1.8960 (1.3751) Prec@1 60.938 (68.058) Prec@5 80.469 (86.682) Epoch: [73][8700/10010] Time 0.328 (0.326) Data 0.000 (0.001) Loss 1.6220 (1.3752) Prec@1 60.156 (68.057) Prec@5 83.594 (86.681) Epoch: [73][8710/10010] Time 0.315 (0.326) Data 0.001 (0.001) Loss 1.5142 (1.3752) Prec@1 69.531 (68.057) Prec@5 85.156 (86.681) Epoch: [73][8720/10010] Time 0.316 (0.326) Data 0.001 (0.001) Loss 1.4910 (1.3752) Prec@1 64.062 (68.056) Prec@5 85.938 (86.680) Epoch: [73][8730/10010] Time 0.341 (0.326) Data 0.001 (0.001) Loss 1.4053 (1.3752) Prec@1 67.188 (68.055) Prec@5 87.500 (86.679) Epoch: [73][8740/10010] Time 0.329 (0.326) Data 0.001 (0.001) Loss 1.5800 (1.3753) Prec@1 64.844 (68.054) Prec@5 85.156 (86.679) Epoch: [73][8750/10010] Time 0.331 (0.326) Data 0.001 (0.001) Loss 1.4308 (1.3754) Prec@1 67.969 (68.053) Prec@5 85.156 (86.677) Epoch: [73][8760/10010] Time 0.330 (0.326) Data 0.001 (0.001) Loss 1.1193 (1.3754) Prec@1 75.000 (68.054) Prec@5 90.625 (86.677) Epoch: [73][8770/10010] Time 0.327 (0.326) Data 0.001 (0.001) Loss 1.5106 (1.3755) Prec@1 70.312 (68.053) Prec@5 85.156 (86.676) Epoch: [73][8780/10010] Time 0.323 (0.326) Data 0.001 (0.001) Loss 1.6287 (1.3754) Prec@1 60.938 (68.055) Prec@5 85.156 (86.678) Epoch: [73][8790/10010] Time 0.316 (0.326) Data 0.001 (0.001) Loss 0.9560 (1.3754) Prec@1 78.906 (68.053) Prec@5 92.188 (86.678) Epoch: [73][8800/10010] Time 0.322 (0.326) Data 0.000 (0.001) Loss 1.4586 (1.3754) Prec@1 70.312 (68.054) Prec@5 85.156 (86.677) Epoch: [73][8810/10010] Time 0.322 (0.326) Data 0.001 (0.001) Loss 1.4389 (1.3755) Prec@1 63.281 (68.053) Prec@5 85.938 (86.678) Epoch: [73][8820/10010] Time 0.316 (0.326) Data 0.001 (0.001) Loss 1.2072 (1.3755) Prec@1 71.094 (68.052) Prec@5 89.062 (86.676) Epoch: [73][8830/10010] Time 0.333 (0.326) Data 0.001 (0.001) Loss 1.3716 (1.3754) Prec@1 67.188 (68.054) Prec@5 83.594 (86.678) Epoch: [73][8840/10010] Time 0.341 (0.326) Data 0.001 (0.001) Loss 1.4513 (1.3754) Prec@1 66.406 (68.053) Prec@5 85.938 (86.678) Epoch: [73][8850/10010] Time 0.320 (0.326) Data 0.001 (0.001) Loss 1.5610 (1.3755) Prec@1 65.625 (68.053) Prec@5 84.375 (86.677) Epoch: [73][8860/10010] Time 0.328 (0.326) Data 0.001 (0.001) Loss 1.4620 (1.3754) Prec@1 69.531 (68.054) Prec@5 85.156 (86.678) Epoch: [73][8870/10010] Time 0.311 (0.326) Data 0.001 (0.001) Loss 1.3977 (1.3754) Prec@1 70.312 (68.054) Prec@5 86.719 (86.678) Epoch: [73][8880/10010] Time 0.320 (0.326) Data 0.001 (0.001) Loss 1.1064 (1.3755) Prec@1 74.219 (68.052) Prec@5 89.844 (86.676) Epoch: [73][8890/10010] Time 0.325 (0.326) Data 0.001 (0.001) Loss 1.4604 (1.3755) Prec@1 64.062 (68.051) Prec@5 85.938 (86.677) Epoch: [73][8900/10010] Time 0.324 (0.326) Data 0.001 (0.001) Loss 1.3615 (1.3755) Prec@1 71.875 (68.052) Prec@5 87.500 (86.677) Epoch: [73][8910/10010] Time 0.342 (0.326) Data 0.000 (0.001) Loss 1.3514 (1.3755) Prec@1 69.531 (68.053) Prec@5 89.062 (86.678) Epoch: [73][8920/10010] Time 0.312 (0.326) Data 0.001 (0.001) Loss 1.4586 (1.3756) Prec@1 64.844 (68.050) Prec@5 87.500 (86.676) Epoch: [73][8930/10010] Time 0.313 (0.326) Data 0.000 (0.001) Loss 1.0829 (1.3755) Prec@1 78.125 (68.051) Prec@5 92.969 (86.677) Epoch: [73][8940/10010] Time 0.343 (0.326) Data 0.001 (0.001) Loss 1.3203 (1.3754) Prec@1 71.094 (68.053) Prec@5 88.281 (86.678) Epoch: [73][8950/10010] Time 0.312 (0.326) Data 0.001 (0.001) Loss 1.3364 (1.3754) Prec@1 64.844 (68.052) Prec@5 88.281 (86.680) Epoch: [73][8960/10010] Time 0.336 (0.326) Data 0.001 (0.001) Loss 1.3494 (1.3754) Prec@1 65.625 (68.053) Prec@5 87.500 (86.679) Epoch: [73][8970/10010] Time 0.312 (0.326) Data 0.001 (0.001) Loss 1.4456 (1.3754) Prec@1 67.969 (68.054) Prec@5 85.156 (86.680) Epoch: [73][8980/10010] Time 0.341 (0.326) Data 0.001 (0.001) Loss 1.7164 (1.3754) Prec@1 57.031 (68.054) Prec@5 82.812 (86.680) Epoch: [73][8990/10010] Time 0.317 (0.326) Data 0.001 (0.001) Loss 1.7896 (1.3754) Prec@1 62.500 (68.055) Prec@5 79.688 (86.679) Epoch: [73][9000/10010] Time 0.318 (0.326) Data 0.001 (0.001) Loss 1.0589 (1.3754) Prec@1 74.219 (68.056) Prec@5 95.312 (86.680) Epoch: [73][9010/10010] Time 0.311 (0.326) Data 0.001 (0.001) Loss 1.2776 (1.3755) Prec@1 76.562 (68.055) Prec@5 90.625 (86.679) Epoch: [73][9020/10010] Time 0.332 (0.326) Data 0.000 (0.001) Loss 1.4539 (1.3754) Prec@1 64.844 (68.055) Prec@5 86.719 (86.682) Epoch: [73][9030/10010] Time 0.310 (0.326) Data 0.001 (0.001) Loss 1.4516 (1.3755) Prec@1 63.281 (68.054) Prec@5 86.719 (86.680) Epoch: [73][9040/10010] Time 0.320 (0.326) Data 0.001 (0.001) Loss 1.6467 (1.3755) Prec@1 63.281 (68.054) Prec@5 82.031 (86.680) Epoch: [73][9050/10010] Time 0.337 (0.326) Data 0.001 (0.001) Loss 1.5195 (1.3755) Prec@1 65.625 (68.053) Prec@5 82.812 (86.679) Epoch: [73][9060/10010] Time 0.338 (0.326) Data 0.001 (0.001) Loss 1.2298 (1.3755) Prec@1 73.438 (68.055) Prec@5 85.938 (86.680) Epoch: [73][9070/10010] Time 0.337 (0.326) Data 0.001 (0.001) Loss 1.2535 (1.3754) Prec@1 68.750 (68.055) Prec@5 90.625 (86.680) Epoch: [73][9080/10010] Time 0.326 (0.326) Data 0.001 (0.001) Loss 1.2503 (1.3754) Prec@1 71.094 (68.057) Prec@5 87.500 (86.681) Epoch: [73][9090/10010] Time 0.335 (0.326) Data 0.000 (0.001) Loss 1.3901 (1.3753) Prec@1 67.188 (68.059) Prec@5 85.156 (86.682) Epoch: [73][9100/10010] Time 0.340 (0.326) Data 0.001 (0.001) Loss 1.6281 (1.3753) Prec@1 59.375 (68.059) Prec@5 84.375 (86.681) Epoch: [73][9110/10010] Time 0.317 (0.326) Data 0.001 (0.001) Loss 1.4372 (1.3753) Prec@1 62.500 (68.060) Prec@5 83.594 (86.681) Epoch: [73][9120/10010] Time 0.313 (0.326) Data 0.001 (0.001) Loss 1.2582 (1.3753) Prec@1 69.531 (68.060) Prec@5 88.281 (86.681) Epoch: [73][9130/10010] Time 0.311 (0.326) Data 0.001 (0.001) Loss 1.6344 (1.3755) Prec@1 58.594 (68.060) Prec@5 80.469 (86.679) Epoch: [73][9140/10010] Time 0.329 (0.326) Data 0.001 (0.001) Loss 1.6353 (1.3755) Prec@1 64.062 (68.059) Prec@5 82.031 (86.678) Epoch: [73][9150/10010] Time 0.325 (0.326) Data 0.001 (0.001) Loss 1.2353 (1.3756) Prec@1 69.531 (68.058) Prec@5 89.062 (86.678) Epoch: [73][9160/10010] Time 0.327 (0.326) Data 0.001 (0.001) Loss 1.2282 (1.3755) Prec@1 71.875 (68.060) Prec@5 89.062 (86.679) Epoch: [73][9170/10010] Time 0.334 (0.326) Data 0.001 (0.001) Loss 1.0558 (1.3754) Prec@1 77.344 (68.061) Prec@5 92.188 (86.679) Epoch: [73][9180/10010] Time 0.327 (0.326) Data 0.000 (0.001) Loss 1.5209 (1.3754) Prec@1 60.156 (68.059) Prec@5 86.719 (86.680) Epoch: [73][9190/10010] Time 0.319 (0.326) Data 0.001 (0.001) Loss 1.2504 (1.3754) Prec@1 74.219 (68.060) Prec@5 88.281 (86.679) Epoch: [73][9200/10010] Time 0.336 (0.326) Data 0.000 (0.001) Loss 1.5248 (1.3754) Prec@1 64.062 (68.059) Prec@5 85.938 (86.678) Epoch: [73][9210/10010] Time 0.340 (0.326) Data 0.001 (0.001) Loss 1.4378 (1.3753) Prec@1 66.406 (68.061) Prec@5 84.375 (86.678) Epoch: [73][9220/10010] Time 0.339 (0.326) Data 0.000 (0.001) Loss 1.1349 (1.3753) Prec@1 72.656 (68.061) Prec@5 87.500 (86.677) Epoch: [73][9230/10010] Time 0.325 (0.326) Data 0.001 (0.001) Loss 1.4531 (1.3752) Prec@1 64.844 (68.063) Prec@5 84.375 (86.678) Epoch: [73][9240/10010] Time 0.333 (0.326) Data 0.001 (0.001) Loss 1.3168 (1.3752) Prec@1 67.969 (68.064) Prec@5 87.500 (86.678) Epoch: [73][9250/10010] Time 0.314 (0.326) Data 0.000 (0.001) Loss 0.9703 (1.3753) Prec@1 71.094 (68.062) Prec@5 94.531 (86.678) Epoch: [73][9260/10010] Time 0.319 (0.326) Data 0.000 (0.001) Loss 1.3078 (1.3753) Prec@1 70.312 (68.061) Prec@5 86.719 (86.678) Epoch: [73][9270/10010] Time 0.339 (0.326) Data 0.000 (0.001) Loss 1.5105 (1.3753) Prec@1 64.844 (68.060) Prec@5 85.156 (86.677) Epoch: [73][9280/10010] Time 0.333 (0.326) Data 0.000 (0.001) Loss 1.4621 (1.3754) Prec@1 61.719 (68.058) Prec@5 88.281 (86.677) Epoch: [73][9290/10010] Time 0.338 (0.326) Data 0.001 (0.001) Loss 1.0598 (1.3753) Prec@1 75.000 (68.060) Prec@5 90.625 (86.678) Epoch: [73][9300/10010] Time 0.317 (0.326) Data 0.000 (0.001) Loss 1.4358 (1.3754) Prec@1 68.750 (68.058) Prec@5 83.594 (86.675) Epoch: [73][9310/10010] Time 0.329 (0.326) Data 0.000 (0.001) Loss 1.2013 (1.3753) Prec@1 65.625 (68.058) Prec@5 87.500 (86.676) Epoch: [73][9320/10010] Time 0.325 (0.326) Data 0.001 (0.001) Loss 1.2310 (1.3752) Prec@1 71.094 (68.059) Prec@5 90.625 (86.677) Epoch: [73][9330/10010] Time 0.321 (0.326) Data 0.001 (0.001) Loss 1.2748 (1.3752) Prec@1 71.094 (68.059) Prec@5 85.938 (86.677) Epoch: [73][9340/10010] Time 0.340 (0.326) Data 0.001 (0.001) Loss 1.5362 (1.3752) Prec@1 64.062 (68.058) Prec@5 83.594 (86.676) Epoch: [73][9350/10010] Time 0.332 (0.326) Data 0.000 (0.001) Loss 1.2663 (1.3752) Prec@1 70.312 (68.057) Prec@5 88.281 (86.677) Epoch: [73][9360/10010] Time 0.326 (0.326) Data 0.000 (0.001) Loss 1.6373 (1.3754) Prec@1 62.500 (68.054) Prec@5 83.594 (86.674) Epoch: [73][9370/10010] Time 0.333 (0.326) Data 0.001 (0.001) Loss 1.4670 (1.3755) Prec@1 67.188 (68.052) Prec@5 85.938 (86.673) Epoch: [73][9380/10010] Time 0.316 (0.326) Data 0.001 (0.001) Loss 1.2389 (1.3755) Prec@1 71.094 (68.054) Prec@5 89.844 (86.675) Epoch: [73][9390/10010] Time 0.327 (0.326) Data 0.000 (0.001) Loss 2.0119 (1.3755) Prec@1 57.031 (68.054) Prec@5 74.219 (86.673) Epoch: [73][9400/10010] Time 0.322 (0.326) Data 0.001 (0.001) Loss 1.3136 (1.3755) Prec@1 68.750 (68.055) Prec@5 88.281 (86.675) Epoch: [73][9410/10010] Time 0.332 (0.326) Data 0.001 (0.001) Loss 1.1975 (1.3754) Prec@1 71.875 (68.055) Prec@5 87.500 (86.676) Epoch: [73][9420/10010] Time 0.328 (0.326) Data 0.001 (0.001) Loss 1.1460 (1.3755) Prec@1 74.219 (68.053) Prec@5 90.625 (86.675) Epoch: [73][9430/10010] Time 0.332 (0.326) Data 0.001 (0.001) Loss 1.4456 (1.3755) Prec@1 62.500 (68.052) Prec@5 86.719 (86.674) Epoch: [73][9440/10010] Time 0.319 (0.326) Data 0.000 (0.001) Loss 1.5520 (1.3756) Prec@1 62.500 (68.051) Prec@5 85.156 (86.673) Epoch: [73][9450/10010] Time 0.320 (0.327) Data 0.001 (0.001) Loss 1.5883 (1.3756) Prec@1 64.062 (68.050) Prec@5 83.594 (86.673) Epoch: [73][9460/10010] Time 0.310 (0.327) Data 0.001 (0.001) Loss 1.3086 (1.3757) Prec@1 65.625 (68.049) Prec@5 89.062 (86.671) Epoch: [73][9470/10010] Time 0.333 (0.327) Data 0.000 (0.001) Loss 1.3340 (1.3757) Prec@1 68.750 (68.049) Prec@5 87.500 (86.671) Epoch: [73][9480/10010] Time 0.328 (0.327) Data 0.001 (0.001) Loss 1.2464 (1.3757) Prec@1 70.312 (68.049) Prec@5 91.406 (86.671) Epoch: [73][9490/10010] Time 0.318 (0.327) Data 0.001 (0.001) Loss 1.2690 (1.3757) Prec@1 70.312 (68.049) Prec@5 89.844 (86.672) Epoch: [73][9500/10010] Time 0.342 (0.327) Data 0.001 (0.001) Loss 1.6028 (1.3757) Prec@1 60.938 (68.047) Prec@5 82.812 (86.671) Epoch: [73][9510/10010] Time 0.339 (0.327) Data 0.000 (0.001) Loss 1.2848 (1.3756) Prec@1 69.531 (68.048) Prec@5 88.281 (86.671) Epoch: [73][9520/10010] Time 0.338 (0.327) Data 0.001 (0.001) Loss 1.5413 (1.3756) Prec@1 70.312 (68.049) Prec@5 83.594 (86.670) Epoch: [73][9530/10010] Time 0.312 (0.327) Data 0.000 (0.001) Loss 1.2552 (1.3757) Prec@1 67.969 (68.048) Prec@5 90.625 (86.671) Epoch: [73][9540/10010] Time 0.318 (0.327) Data 0.001 (0.001) Loss 1.1637 (1.3755) Prec@1 69.531 (68.051) Prec@5 86.719 (86.671) Epoch: [73][9550/10010] Time 0.316 (0.327) Data 0.001 (0.001) Loss 1.5373 (1.3755) Prec@1 64.844 (68.052) Prec@5 82.812 (86.671) Epoch: [73][9560/10010] Time 0.333 (0.327) Data 0.000 (0.001) Loss 1.2995 (1.3755) Prec@1 67.969 (68.054) Prec@5 86.719 (86.671) Epoch: [73][9570/10010] Time 0.312 (0.327) Data 0.001 (0.001) Loss 1.0198 (1.3755) Prec@1 75.000 (68.054) Prec@5 91.406 (86.671) Epoch: [73][9580/10010] Time 0.325 (0.327) Data 0.000 (0.001) Loss 1.3191 (1.3754) Prec@1 69.531 (68.056) Prec@5 87.500 (86.672) Epoch: [73][9590/10010] Time 0.338 (0.327) Data 0.001 (0.001) Loss 1.3852 (1.3754) Prec@1 68.750 (68.056) Prec@5 87.500 (86.671) Epoch: [73][9600/10010] Time 0.324 (0.327) Data 0.001 (0.001) Loss 1.1825 (1.3753) Prec@1 74.219 (68.058) Prec@5 88.281 (86.672) Epoch: [73][9610/10010] Time 0.319 (0.327) Data 0.001 (0.001) Loss 1.2759 (1.3754) Prec@1 70.312 (68.058) Prec@5 87.500 (86.672) Epoch: [73][9620/10010] Time 0.319 (0.327) Data 0.001 (0.001) Loss 1.5150 (1.3754) Prec@1 69.531 (68.056) Prec@5 84.375 (86.671) Epoch: [73][9630/10010] Time 0.325 (0.327) Data 0.001 (0.001) Loss 1.5558 (1.3753) Prec@1 68.750 (68.059) Prec@5 84.375 (86.674) Epoch: [73][9640/10010] Time 0.322 (0.327) Data 0.001 (0.001) Loss 1.4104 (1.3753) Prec@1 69.531 (68.059) Prec@5 87.500 (86.674) Epoch: [73][9650/10010] Time 0.318 (0.327) Data 0.001 (0.001) Loss 1.2966 (1.3753) Prec@1 68.750 (68.058) Prec@5 89.062 (86.674) Epoch: [73][9660/10010] Time 0.320 (0.327) Data 0.001 (0.001) Loss 1.4047 (1.3753) Prec@1 68.750 (68.059) Prec@5 85.938 (86.675) Epoch: [73][9670/10010] Time 0.318 (0.327) Data 0.000 (0.001) Loss 1.3459 (1.3753) Prec@1 66.406 (68.058) Prec@5 89.062 (86.673) Epoch: [73][9680/10010] Time 0.332 (0.327) Data 0.001 (0.001) Loss 1.6159 (1.3754) Prec@1 64.062 (68.057) Prec@5 84.375 (86.673) Epoch: [73][9690/10010] Time 0.339 (0.327) Data 0.000 (0.001) Loss 1.2045 (1.3754) Prec@1 70.312 (68.057) Prec@5 92.969 (86.673) Epoch: [73][9700/10010] Time 0.331 (0.327) Data 0.001 (0.001) Loss 1.1703 (1.3753) Prec@1 71.875 (68.058) Prec@5 86.719 (86.674) Epoch: [73][9710/10010] Time 0.332 (0.327) Data 0.001 (0.001) Loss 1.3891 (1.3753) Prec@1 74.219 (68.059) Prec@5 85.938 (86.673) Epoch: [73][9720/10010] Time 0.335 (0.327) Data 0.001 (0.001) Loss 1.3783 (1.3753) Prec@1 70.312 (68.059) Prec@5 85.938 (86.674) Epoch: [73][9730/10010] Time 0.333 (0.327) Data 0.001 (0.001) Loss 1.3345 (1.3752) Prec@1 63.281 (68.059) Prec@5 87.500 (86.675) Epoch: [73][9740/10010] Time 0.338 (0.327) Data 0.000 (0.001) Loss 1.0654 (1.3751) Prec@1 76.562 (68.063) Prec@5 89.844 (86.676) Epoch: [73][9750/10010] Time 0.316 (0.327) Data 0.001 (0.001) Loss 1.7236 (1.3751) Prec@1 64.062 (68.063) Prec@5 81.250 (86.678) Epoch: [73][9760/10010] Time 0.308 (0.327) Data 0.001 (0.001) Loss 1.0348 (1.3751) Prec@1 77.344 (68.062) Prec@5 89.062 (86.676) Epoch: [73][9770/10010] Time 0.324 (0.327) Data 0.001 (0.001) Loss 1.2314 (1.3753) Prec@1 67.969 (68.061) Prec@5 88.281 (86.674) Epoch: [73][9780/10010] Time 0.314 (0.327) Data 0.000 (0.001) Loss 1.5999 (1.3753) Prec@1 65.625 (68.060) Prec@5 84.375 (86.673) Epoch: [73][9790/10010] Time 0.330 (0.327) Data 0.001 (0.001) Loss 1.5692 (1.3754) Prec@1 58.594 (68.058) Prec@5 83.594 (86.672) Epoch: [73][9800/10010] Time 0.322 (0.327) Data 0.001 (0.001) Loss 1.1041 (1.3754) Prec@1 70.312 (68.059) Prec@5 88.281 (86.672) Epoch: [73][9810/10010] Time 0.318 (0.327) Data 0.001 (0.001) Loss 1.7117 (1.3754) Prec@1 60.938 (68.058) Prec@5 81.250 (86.672) Epoch: [73][9820/10010] Time 0.321 (0.327) Data 0.000 (0.001) Loss 1.4716 (1.3754) Prec@1 64.844 (68.058) Prec@5 84.375 (86.672) Epoch: [73][9830/10010] Time 0.328 (0.327) Data 0.000 (0.001) Loss 1.2574 (1.3754) Prec@1 70.312 (68.060) Prec@5 86.719 (86.673) Epoch: [73][9840/10010] Time 0.335 (0.327) Data 0.001 (0.001) Loss 1.5582 (1.3755) Prec@1 60.156 (68.059) Prec@5 82.812 (86.672) Epoch: [73][9850/10010] Time 0.320 (0.327) Data 0.001 (0.001) Loss 1.4732 (1.3754) Prec@1 68.750 (68.060) Prec@5 85.938 (86.672) Epoch: [73][9860/10010] Time 0.319 (0.327) Data 0.001 (0.001) Loss 1.4887 (1.3754) Prec@1 60.938 (68.059) Prec@5 88.281 (86.673) Epoch: [73][9870/10010] Time 0.338 (0.327) Data 0.001 (0.001) Loss 1.3091 (1.3754) Prec@1 67.969 (68.059) Prec@5 87.500 (86.674) Epoch: [73][9880/10010] Time 0.333 (0.327) Data 0.001 (0.001) Loss 1.6363 (1.3754) Prec@1 57.812 (68.059) Prec@5 85.156 (86.674) Epoch: [73][9890/10010] Time 0.329 (0.327) Data 0.001 (0.001) Loss 1.4029 (1.3753) Prec@1 69.531 (68.062) Prec@5 86.719 (86.675) Epoch: [73][9900/10010] Time 0.327 (0.327) Data 0.001 (0.001) Loss 1.4414 (1.3754) Prec@1 60.938 (68.060) Prec@5 88.281 (86.674) Epoch: [73][9910/10010] Time 0.321 (0.327) Data 0.001 (0.001) Loss 1.5412 (1.3754) Prec@1 64.062 (68.058) Prec@5 82.031 (86.673) Epoch: [73][9920/10010] Time 0.327 (0.327) Data 0.001 (0.001) Loss 1.6888 (1.3755) Prec@1 64.844 (68.057) Prec@5 76.562 (86.672) Epoch: [73][9930/10010] Time 0.321 (0.327) Data 0.001 (0.001) Loss 1.2364 (1.3755) Prec@1 66.406 (68.056) Prec@5 85.156 (86.672) Epoch: [73][9940/10010] Time 0.316 (0.327) Data 0.001 (0.001) Loss 1.3644 (1.3755) Prec@1 67.969 (68.056) Prec@5 87.500 (86.672) Epoch: [73][9950/10010] Time 0.335 (0.327) Data 0.001 (0.001) Loss 1.3778 (1.3754) Prec@1 70.312 (68.058) Prec@5 87.500 (86.673) Epoch: [73][9960/10010] Time 0.317 (0.327) Data 0.001 (0.001) Loss 1.6070 (1.3756) Prec@1 61.719 (68.055) Prec@5 85.156 (86.671) Epoch: [73][9970/10010] Time 0.313 (0.327) Data 0.001 (0.001) Loss 1.3998 (1.3755) Prec@1 67.188 (68.057) Prec@5 89.062 (86.673) Epoch: [73][9980/10010] Time 0.339 (0.327) Data 0.001 (0.001) Loss 1.6040 (1.3755) Prec@1 63.281 (68.056) Prec@5 85.938 (86.672) Epoch: [73][9990/10010] Time 0.333 (0.327) Data 0.001 (0.001) Loss 1.1666 (1.3755) Prec@1 70.312 (68.055) Prec@5 89.062 (86.671) Epoch: [73][10000/10010] Time 0.315 (0.327) Data 0.000 (0.001) Loss 1.1465 (1.3755) Prec@1 71.875 (68.055) Prec@5 91.406 (86.671) Test: [0/391] Time 1.481 (1.481) Loss 0.7046 (0.7046) Prec@1 82.031 (82.031) Prec@5 95.312 (95.312) Test: [10/391] Time 0.106 (0.235) Loss 1.2554 (0.6412) Prec@1 71.094 (84.091) Prec@5 89.062 (95.241) Test: [20/391] Time 0.105 (0.174) Loss 0.7711 (0.8797) Prec@1 80.469 (77.232) Prec@5 94.531 (93.229) Test: [30/391] Time 0.104 (0.154) Loss 1.6678 (1.0026) Prec@1 67.188 (73.765) Prec@5 86.719 (92.490) Test: [40/391] Time 0.106 (0.142) Loss 0.9313 (0.9057) Prec@1 81.250 (76.562) Prec@5 89.844 (93.197) Test: [50/391] Time 0.102 (0.134) Loss 0.4733 (0.9295) Prec@1 87.500 (76.379) Prec@5 96.875 (92.785) Test: [60/391] Time 0.109 (0.129) Loss 0.9590 (0.8802) Prec@1 76.562 (77.638) Prec@5 92.969 (93.238) Test: [70/391] Time 0.111 (0.126) Loss 1.1612 (0.9066) Prec@1 64.844 (76.662) Prec@5 95.312 (93.299) Test: [80/391] Time 0.113 (0.124) Loss 0.8328 (0.9203) Prec@1 78.125 (75.993) Prec@5 94.531 (93.403) Test: [90/391] Time 0.114 (0.123) Loss 1.2649 (0.9237) Prec@1 57.812 (75.893) Prec@5 93.750 (93.467) Test: [100/391] Time 0.099 (0.121) Loss 0.8538 (0.9203) Prec@1 75.781 (75.774) Prec@5 96.094 (93.680) Test: [110/391] Time 0.107 (0.120) Loss 1.3539 (0.9270) Prec@1 50.781 (75.436) Prec@5 92.188 (93.715) Test: [120/391] Time 0.112 (0.119) Loss 0.7402 (0.9225) Prec@1 81.250 (75.704) Prec@5 96.875 (93.769) Test: [130/391] Time 0.101 (0.119) Loss 0.4196 (0.9151) Prec@1 92.969 (76.020) Prec@5 95.312 (93.822) Test: [140/391] Time 0.104 (0.118) Loss 1.2532 (0.9154) Prec@1 64.844 (75.914) Prec@5 90.625 (93.833) Test: [150/391] Time 0.101 (0.117) Loss 1.0208 (0.9218) Prec@1 68.750 (75.864) Prec@5 92.969 (93.693) Test: [160/391] Time 0.110 (0.116) Loss 0.9427 (0.9277) Prec@1 75.781 (75.772) Prec@5 92.969 (93.609) Test: [170/391] Time 0.105 (0.116) Loss 1.6829 (0.9572) Prec@1 54.688 (75.183) Prec@5 86.719 (93.252) Test: [180/391] Time 0.100 (0.115) Loss 1.9003 (0.9892) Prec@1 56.250 (74.517) Prec@5 85.938 (92.882) Test: [190/391] Time 0.106 (0.115) Loss 2.0052 (1.0232) Prec@1 53.906 (73.830) Prec@5 83.594 (92.433) Test: [200/391] Time 0.109 (0.114) Loss 1.1634 (1.0531) Prec@1 71.094 (73.263) Prec@5 91.406 (92.013) Test: [210/391] Time 0.166 (0.114) Loss 1.5045 (1.0719) Prec@1 68.750 (72.882) Prec@5 86.719 (91.799) Test: [220/391] Time 0.103 (0.114) Loss 0.6418 (1.0824) Prec@1 82.812 (72.720) Prec@5 96.094 (91.590) Test: [230/391] Time 0.110 (0.113) Loss 1.8729 (1.0951) Prec@1 57.031 (72.518) Prec@5 84.375 (91.447) Test: [240/391] Time 0.116 (0.113) Loss 1.2896 (1.1024) Prec@1 76.562 (72.468) Prec@5 85.938 (91.299) Test: [250/391] Time 0.102 (0.113) Loss 0.7790 (1.1257) Prec@1 78.906 (71.897) Prec@5 92.969 (91.011) Test: [260/391] Time 0.112 (0.113) Loss 1.3997 (1.1401) Prec@1 64.844 (71.603) Prec@5 89.062 (90.829) Test: [270/391] Time 0.106 (0.113) Loss 1.9431 (1.1503) Prec@1 56.250 (71.394) Prec@5 84.375 (90.691) Test: [280/391] Time 0.109 (0.112) Loss 1.2543 (1.1567) Prec@1 67.969 (71.286) Prec@5 92.188 (90.608) Test: [290/391] Time 0.103 (0.112) Loss 1.5467 (1.1690) Prec@1 53.125 (71.021) Prec@5 88.281 (90.378) Test: [300/391] Time 0.105 (0.112) Loss 1.2504 (1.1791) Prec@1 75.781 (70.845) Prec@5 85.938 (90.215) Test: [310/391] Time 0.108 (0.112) Loss 1.6588 (1.1885) Prec@1 65.625 (70.699) Prec@5 83.594 (90.067) Test: [320/391] Time 0.102 (0.112) Loss 0.7746 (1.1955) Prec@1 83.594 (70.597) Prec@5 93.750 (89.990) Test: [330/391] Time 0.108 (0.111) Loss 1.8643 (1.2137) Prec@1 60.938 (70.197) Prec@5 81.250 (89.756) Test: [340/391] Time 0.107 (0.111) Loss 1.1420 (1.2185) Prec@1 64.844 (70.065) Prec@5 95.312 (89.697) Test: [350/391] Time 0.104 (0.111) Loss 1.3287 (1.2249) Prec@1 68.750 (69.950) Prec@5 89.844 (89.592) Test: [360/391] Time 0.105 (0.111) Loss 1.3101 (1.2329) Prec@1 65.625 (69.800) Prec@5 92.969 (89.539) Test: [370/391] Time 0.104 (0.111) Loss 1.1392 (1.2274) Prec@1 64.844 (69.889) Prec@5 96.094 (89.608) Test: [380/391] Time 0.101 (0.111) Loss 0.9418 (1.2303) Prec@1 77.344 (69.841) Prec@5 93.750 (89.567) Test: [390/391] Time 0.067 (0.111) Loss 1.9112 (1.2234) Prec@1 46.250 (70.022) Prec@5 82.500 (89.650) * Prec@1 70.022 Prec@5 89.650 Epoch: [74][0/10010] Time 2.857 (2.857) Data 2.683 (2.683) Loss 1.4796 (1.4796) Prec@1 65.625 (65.625) Prec@5 84.375 (84.375) Epoch: [74][10/10010] Time 0.315 (0.546) Data 0.001 (0.244) Loss 1.5227 (1.2573) Prec@1 69.531 (72.230) Prec@5 84.375 (88.423) Epoch: [74][20/10010] Time 0.312 (0.437) Data 0.001 (0.128) Loss 1.4205 (1.2748) Prec@1 66.406 (70.833) Prec@5 86.719 (88.244) Epoch: [74][30/10010] Time 0.317 (0.398) Data 0.001 (0.087) Loss 1.0615 (1.2581) Prec@1 70.312 (70.791) Prec@5 89.844 (88.382) Epoch: [74][40/10010] Time 0.311 (0.378) Data 0.001 (0.066) Loss 1.3905 (1.2895) Prec@1 67.188 (70.046) Prec@5 83.594 (87.957) Epoch: [74][50/10010] Time 0.316 (0.368) Data 0.001 (0.053) Loss 1.6645 (1.3251) Prec@1 66.406 (69.424) Prec@5 83.594 (87.362) Epoch: [74][60/10010] Time 0.321 (0.359) Data 0.001 (0.045) Loss 1.3439 (1.3226) Prec@1 67.969 (69.403) Prec@5 86.719 (87.423) Epoch: [74][70/10010] Time 0.338 (0.356) Data 0.001 (0.038) Loss 1.0194 (1.3247) Prec@1 75.000 (69.168) Prec@5 94.531 (87.302) Epoch: [74][80/10010] Time 0.331 (0.353) Data 0.001 (0.034) Loss 1.1429 (1.3277) Prec@1 71.094 (69.068) Prec@5 90.625 (87.240) Epoch: [74][90/10010] Time 0.330 (0.351) Data 0.000 (0.030) Loss 1.3540 (1.3273) Prec@1 71.094 (68.982) Prec@5 88.281 (87.260) Epoch: [74][100/10010] Time 0.322 (0.349) Data 0.000 (0.027) Loss 1.3662 (1.3297) Prec@1 67.969 (68.874) Prec@5 85.156 (87.229) Epoch: [74][110/10010] Time 0.341 (0.347) Data 0.001 (0.025) Loss 1.1935 (1.3346) Prec@1 71.875 (68.856) Prec@5 88.281 (87.113) Epoch: [74][120/10010] Time 0.318 (0.345) Data 0.001 (0.023) Loss 1.5084 (1.3316) Prec@1 67.969 (68.970) Prec@5 85.156 (87.087) Epoch: [74][130/10010] Time 0.330 (0.344) Data 0.001 (0.021) Loss 1.3741 (1.3297) Prec@1 69.531 (68.965) Prec@5 88.281 (87.077) Epoch: [74][140/10010] Time 0.332 (0.344) Data 0.001 (0.020) Loss 1.0049 (1.3270) Prec@1 74.219 (68.999) Prec@5 92.969 (87.129) Epoch: [74][150/10010] Time 0.322 (0.343) Data 0.001 (0.018) Loss 1.4550 (1.3326) Prec@1 64.844 (68.962) Prec@5 86.719 (87.055) Epoch: [74][160/10010] Time 0.323 (0.342) Data 0.001 (0.017) Loss 1.4586 (1.3331) Prec@1 67.969 (68.949) Prec@5 89.062 (87.102) Epoch: [74][170/10010] Time 0.316 (0.341) Data 0.001 (0.016) Loss 1.3430 (1.3390) Prec@1 67.969 (68.805) Prec@5 88.281 (87.052) Epoch: [74][180/10010] Time 0.332 (0.341) Data 0.001 (0.015) Loss 0.9702 (1.3398) Prec@1 75.000 (68.823) Prec@5 92.969 (87.060) Epoch: [74][190/10010] Time 0.324 (0.340) Data 0.001 (0.015) Loss 1.1469 (1.3417) Prec@1 74.219 (68.852) Prec@5 89.062 (87.038) Epoch: [74][200/10010] Time 0.335 (0.339) Data 0.001 (0.014) Loss 1.3646 (1.3378) Prec@1 71.094 (68.933) Prec@5 88.281 (87.088) Epoch: [74][210/10010] Time 0.333 (0.339) Data 0.001 (0.013) Loss 1.6313 (1.3406) Prec@1 64.062 (68.861) Prec@5 82.031 (87.059) Epoch: [74][220/10010] Time 0.333 (0.338) Data 0.000 (0.013) Loss 1.4984 (1.3429) Prec@1 70.312 (68.863) Prec@5 86.719 (87.019) Epoch: [74][230/10010] Time 0.322 (0.337) Data 0.001 (0.012) Loss 1.5357 (1.3443) Prec@1 66.406 (68.875) Prec@5 85.156 (86.989) Epoch: [74][240/10010] Time 0.326 (0.337) Data 0.001 (0.012) Loss 1.5242 (1.3454) Prec@1 67.969 (68.850) Prec@5 86.719 (86.975) Epoch: [74][250/10010] Time 0.338 (0.337) Data 0.001 (0.011) Loss 1.4501 (1.3511) Prec@1 72.656 (68.812) Prec@5 86.719 (86.918) Epoch: [74][260/10010] Time 0.341 (0.337) Data 0.001 (0.011) Loss 1.5333 (1.3514) Prec@1 61.719 (68.780) Prec@5 85.938 (86.946) Epoch: [74][270/10010] Time 0.329 (0.336) Data 0.001 (0.011) Loss 1.8197 (1.3562) Prec@1 54.688 (68.638) Prec@5 80.469 (86.900) Epoch: [74][280/10010] Time 0.321 (0.336) Data 0.001 (0.010) Loss 1.2042 (1.3552) Prec@1 69.531 (68.653) Prec@5 89.062 (86.902) Epoch: [74][290/10010] Time 0.336 (0.336) Data 0.001 (0.010) Loss 1.3242 (1.3524) Prec@1 68.750 (68.712) Prec@5 89.062 (86.928) Epoch: [74][300/10010] Time 0.341 (0.336) Data 0.001 (0.010) Loss 1.5549 (1.3533) Prec@1 65.625 (68.672) Prec@5 82.812 (86.932) Epoch: [74][310/10010] Time 0.322 (0.336) Data 0.000 (0.009) Loss 1.2508 (1.3531) Prec@1 73.438 (68.687) Prec@5 88.281 (86.937) Epoch: [74][320/10010] Time 0.315 (0.335) Data 0.001 (0.009) Loss 1.6054 (1.3562) Prec@1 61.719 (68.594) Prec@5 83.594 (86.906) Epoch: [74][330/10010] Time 0.331 (0.335) Data 0.001 (0.009) Loss 1.2296 (1.3551) Prec@1 67.969 (68.594) Prec@5 90.625 (86.919) Epoch: [74][340/10010] Time 0.333 (0.335) Data 0.001 (0.009) Loss 1.1406 (1.3535) Prec@1 75.781 (68.603) Prec@5 89.844 (86.966) Epoch: [74][350/10010] Time 0.339 (0.335) Data 0.000 (0.008) Loss 1.3493 (1.3548) Prec@1 64.062 (68.603) Prec@5 85.156 (86.937) Epoch: [74][360/10010] Time 0.329 (0.334) Data 0.001 (0.008) Loss 1.5063 (1.3547) Prec@1 66.406 (68.635) Prec@5 83.594 (86.952) Epoch: [74][370/10010] Time 0.321 (0.334) Data 0.001 (0.008) Loss 1.5498 (1.3562) Prec@1 68.750 (68.600) Prec@5 84.375 (86.938) Epoch: [74][380/10010] Time 0.333 (0.334) Data 0.001 (0.008) Loss 1.1967 (1.3576) Prec@1 70.312 (68.578) Prec@5 89.844 (86.914) Epoch: [74][390/10010] Time 0.340 (0.334) Data 0.001 (0.008) Loss 1.4298 (1.3588) Prec@1 67.969 (68.554) Prec@5 85.156 (86.911) Epoch: [74][400/10010] Time 0.321 (0.334) Data 0.000 (0.007) Loss 1.8664 (1.3611) Prec@1 55.469 (68.495) Prec@5 78.125 (86.871) Epoch: [74][410/10010] Time 0.341 (0.334) Data 0.001 (0.007) Loss 1.3988 (1.3596) Prec@1 67.188 (68.510) Prec@5 82.812 (86.899) Epoch: [74][420/10010] Time 0.319 (0.333) Data 0.001 (0.007) Loss 1.4030 (1.3608) Prec@1 64.062 (68.507) Prec@5 85.938 (86.871) Epoch: [74][430/10010] Time 0.335 (0.333) Data 0.001 (0.007) Loss 1.3669 (1.3604) Prec@1 69.531 (68.522) Prec@5 87.500 (86.887) Epoch: [74][440/10010] Time 0.320 (0.333) Data 0.001 (0.007) Loss 1.3811 (1.3596) Prec@1 64.844 (68.559) Prec@5 85.938 (86.891) Epoch: [74][450/10010] Time 0.325 (0.333) Data 0.001 (0.007) Loss 1.5566 (1.3616) Prec@1 63.281 (68.518) Prec@5 81.250 (86.849) Epoch: [74][460/10010] Time 0.339 (0.333) Data 0.001 (0.006) Loss 1.7214 (1.3613) Prec@1 57.812 (68.492) Prec@5 83.594 (86.876) Epoch: [74][470/10010] Time 0.337 (0.333) Data 0.000 (0.006) Loss 1.5809 (1.3600) Prec@1 64.844 (68.508) Prec@5 85.156 (86.906) Epoch: [74][480/10010] Time 0.326 (0.333) Data 0.000 (0.006) Loss 1.4189 (1.3591) Prec@1 67.188 (68.516) Prec@5 86.719 (86.933) Epoch: [74][490/10010] Time 0.330 (0.333) Data 0.001 (0.006) Loss 1.4449 (1.3618) Prec@1 66.406 (68.460) Prec@5 82.812 (86.884) Epoch: [74][500/10010] Time 0.318 (0.333) Data 0.001 (0.006) Loss 1.5511 (1.3619) Prec@1 66.406 (68.469) Prec@5 85.156 (86.882) Epoch: [74][510/10010] Time 0.336 (0.333) Data 0.001 (0.006) Loss 1.3746 (1.3613) Prec@1 66.406 (68.466) Prec@5 85.938 (86.892) Epoch: [74][520/10010] Time 0.331 (0.333) Data 0.001 (0.006) Loss 1.6594 (1.3620) Prec@1 65.625 (68.441) Prec@5 84.375 (86.902) Epoch: [74][530/10010] Time 0.326 (0.333) Data 0.001 (0.006) Loss 1.5454 (1.3622) Prec@1 60.938 (68.437) Prec@5 82.812 (86.876) Epoch: [74][540/10010] Time 0.332 (0.333) Data 0.001 (0.006) Loss 1.3529 (1.3612) Prec@1 66.406 (68.466) Prec@5 86.719 (86.888) Epoch: [74][550/10010] Time 0.315 (0.332) Data 0.001 (0.006) Loss 1.3524 (1.3612) Prec@1 66.406 (68.447) Prec@5 84.375 (86.889) Epoch: [74][560/10010] Time 0.328 (0.332) Data 0.001 (0.005) Loss 1.5314 (1.3623) Prec@1 64.062 (68.395) Prec@5 82.031 (86.871) Epoch: [74][570/10010] Time 0.320 (0.332) Data 0.001 (0.005) Loss 1.7665 (1.3636) Prec@1 58.594 (68.382) Prec@5 82.031 (86.842) Epoch: [74][580/10010] Time 0.318 (0.332) Data 0.001 (0.005) Loss 1.4309 (1.3632) Prec@1 66.406 (68.391) Prec@5 85.938 (86.855) Epoch: [74][590/10010] Time 0.338 (0.332) Data 0.000 (0.005) Loss 0.9877 (1.3630) Prec@1 76.562 (68.413) Prec@5 91.406 (86.855) Epoch: [74][600/10010] Time 0.315 (0.332) Data 0.000 (0.005) Loss 1.6231 (1.3637) Prec@1 65.625 (68.422) Prec@5 85.156 (86.849) Epoch: [74][610/10010] Time 0.339 (0.332) Data 0.001 (0.005) Loss 1.2175 (1.3635) Prec@1 69.531 (68.400) Prec@5 89.062 (86.847) Epoch: [74][620/10010] Time 0.317 (0.332) Data 0.000 (0.005) Loss 1.2478 (1.3632) Prec@1 73.438 (68.402) Prec@5 89.062 (86.855) Epoch: [74][630/10010] Time 0.326 (0.332) Data 0.001 (0.005) Loss 1.3271 (1.3626) Prec@1 67.188 (68.392) Prec@5 87.500 (86.871) Epoch: [74][640/10010] Time 0.337 (0.332) Data 0.001 (0.005) Loss 1.2643 (1.3632) Prec@1 71.094 (68.366) Prec@5 89.844 (86.874) Epoch: [74][650/10010] Time 0.340 (0.332) Data 0.001 (0.005) Loss 1.3926 (1.3631) Prec@1 66.406 (68.355) Prec@5 84.375 (86.866) Epoch: [74][660/10010] Time 0.320 (0.332) Data 0.000 (0.005) Loss 1.4838 (1.3618) Prec@1 65.625 (68.384) Prec@5 86.719 (86.890) Epoch: [74][670/10010] Time 0.313 (0.332) Data 0.001 (0.005) Loss 1.4251 (1.3622) Prec@1 69.531 (68.374) Prec@5 83.594 (86.886) Epoch: [74][680/10010] Time 0.342 (0.332) Data 0.000 (0.005) Loss 1.2100 (1.3615) Prec@1 74.219 (68.416) Prec@5 86.719 (86.884) Epoch: [74][690/10010] Time 0.318 (0.332) Data 0.001 (0.005) Loss 1.5923 (1.3634) Prec@1 61.719 (68.389) Prec@5 82.812 (86.857) Epoch: [74][700/10010] Time 0.336 (0.331) Data 0.001 (0.004) Loss 1.1899 (1.3632) Prec@1 70.312 (68.379) Prec@5 91.406 (86.870) Epoch: [74][710/10010] Time 0.331 (0.331) Data 0.001 (0.004) Loss 1.3876 (1.3621) Prec@1 67.188 (68.399) Prec@5 87.500 (86.882) Epoch: [74][720/10010] Time 0.319 (0.331) Data 0.000 (0.004) Loss 1.3490 (1.3619) Prec@1 67.188 (68.396) Prec@5 86.719 (86.893) Epoch: [74][730/10010] Time 0.317 (0.331) Data 0.001 (0.004) Loss 1.2826 (1.3618) Prec@1 69.531 (68.381) Prec@5 88.281 (86.900) Epoch: [74][740/10010] Time 0.331 (0.331) Data 0.001 (0.004) Loss 1.3677 (1.3614) Prec@1 67.188 (68.375) Prec@5 88.281 (86.920) Epoch: [74][750/10010] Time 0.323 (0.331) Data 0.001 (0.004) Loss 1.1963 (1.3615) Prec@1 69.531 (68.362) Prec@5 91.406 (86.926) Epoch: [74][760/10010] Time 0.323 (0.331) Data 0.001 (0.004) Loss 1.4397 (1.3611) Prec@1 63.281 (68.366) Prec@5 87.500 (86.938) Epoch: [74][770/10010] Time 0.326 (0.331) Data 0.001 (0.004) Loss 1.7300 (1.3623) Prec@1 63.281 (68.348) Prec@5 81.250 (86.919) Epoch: [74][780/10010] Time 0.330 (0.331) Data 0.001 (0.004) Loss 1.3336 (1.3624) Prec@1 67.969 (68.359) Prec@5 87.500 (86.920) Epoch: [74][790/10010] Time 0.324 (0.331) Data 0.001 (0.004) Loss 1.5701 (1.3631) Prec@1 61.719 (68.355) Prec@5 85.938 (86.909) Epoch: [74][800/10010] Time 0.319 (0.331) Data 0.001 (0.004) Loss 1.4713 (1.3645) Prec@1 68.750 (68.330) Prec@5 84.375 (86.895) Epoch: [74][810/10010] Time 0.327 (0.331) Data 0.000 (0.004) Loss 1.2217 (1.3650) Prec@1 72.656 (68.349) Prec@5 90.625 (86.889) Epoch: [74][820/10010] Time 0.326 (0.331) Data 0.001 (0.004) Loss 1.5342 (1.3645) Prec@1 64.844 (68.368) Prec@5 88.281 (86.904) Epoch: [74][830/10010] Time 0.323 (0.331) Data 0.001 (0.004) Loss 1.0429 (1.3643) Prec@1 74.219 (68.382) Prec@5 91.406 (86.897) Epoch: [74][840/10010] Time 0.324 (0.331) Data 0.001 (0.004) Loss 1.4051 (1.3636) Prec@1 69.531 (68.386) Prec@5 89.844 (86.916) Epoch: [74][850/10010] Time 0.320 (0.331) Data 0.001 (0.004) Loss 1.0571 (1.3633) Prec@1 75.000 (68.377) Prec@5 89.062 (86.910) Epoch: [74][860/10010] Time 0.331 (0.331) Data 0.001 (0.004) Loss 1.2706 (1.3639) Prec@1 71.094 (68.371) Prec@5 88.281 (86.903) Epoch: [74][870/10010] Time 0.311 (0.331) Data 0.001 (0.004) Loss 1.7120 (1.3635) Prec@1 58.594 (68.375) Prec@5 84.375 (86.922) Epoch: [74][880/10010] Time 0.315 (0.331) Data 0.001 (0.004) Loss 1.3278 (1.3618) Prec@1 69.531 (68.418) Prec@5 88.281 (86.943) Epoch: [74][890/10010] Time 0.318 (0.331) Data 0.001 (0.004) Loss 1.4644 (1.3618) Prec@1 65.625 (68.417) Prec@5 83.594 (86.942) Epoch: [74][900/10010] Time 0.332 (0.331) Data 0.001 (0.004) Loss 1.2807 (1.3622) Prec@1 71.094 (68.398) Prec@5 88.281 (86.938) Epoch: [74][910/10010] Time 0.315 (0.330) Data 0.000 (0.004) Loss 1.2874 (1.3615) Prec@1 68.750 (68.409) Prec@5 87.500 (86.951) Epoch: [74][920/10010] Time 0.322 (0.330) Data 0.001 (0.004) Loss 1.4586 (1.3618) Prec@1 67.188 (68.406) Prec@5 85.938 (86.960) Epoch: [74][930/10010] Time 0.318 (0.330) Data 0.001 (0.004) Loss 1.5663 (1.3611) Prec@1 62.500 (68.408) Prec@5 84.375 (86.977) Epoch: [74][940/10010] Time 0.330 (0.330) Data 0.000 (0.004) Loss 1.5366 (1.3614) Prec@1 65.625 (68.415) Prec@5 85.938 (86.969) Epoch: [74][950/10010] Time 0.338 (0.330) Data 0.000 (0.003) Loss 1.3096 (1.3606) Prec@1 69.531 (68.437) Prec@5 89.844 (86.987) Epoch: [74][960/10010] Time 0.323 (0.330) Data 0.001 (0.003) Loss 1.2628 (1.3597) Prec@1 67.969 (68.453) Prec@5 89.062 (86.992) Epoch: [74][970/10010] Time 0.325 (0.330) Data 0.000 (0.003) Loss 1.7199 (1.3607) Prec@1 62.500 (68.437) Prec@5 82.031 (86.975) Epoch: [74][980/10010] Time 0.319 (0.330) Data 0.000 (0.003) Loss 1.4438 (1.3605) Prec@1 64.844 (68.436) Prec@5 85.938 (86.977) Epoch: [74][990/10010] Time 0.327 (0.330) Data 0.001 (0.003) Loss 1.4766 (1.3603) Prec@1 64.844 (68.443) Prec@5 88.281 (86.979) Epoch: [74][1000/10010] Time 0.311 (0.330) Data 0.001 (0.003) Loss 1.1817 (1.3603) Prec@1 72.656 (68.436) Prec@5 87.500 (86.976) Epoch: [74][1010/10010] Time 0.314 (0.330) Data 0.001 (0.003) Loss 1.4580 (1.3601) Prec@1 71.094 (68.438) Prec@5 84.375 (86.982) Epoch: [74][1020/10010] Time 0.332 (0.330) Data 0.001 (0.003) Loss 1.3001 (1.3601) Prec@1 69.531 (68.446) Prec@5 85.938 (86.974) Epoch: [74][1030/10010] Time 0.333 (0.330) Data 0.001 (0.003) Loss 1.4369 (1.3603) Prec@1 70.312 (68.454) Prec@5 81.250 (86.968) Epoch: [74][1040/10010] Time 0.335 (0.330) Data 0.001 (0.003) Loss 1.3100 (1.3601) Prec@1 60.938 (68.451) Prec@5 88.281 (86.970) Epoch: [74][1050/10010] Time 0.320 (0.330) Data 0.001 (0.003) Loss 1.4591 (1.3601) Prec@1 67.969 (68.440) Prec@5 84.375 (86.971) Epoch: [74][1060/10010] Time 0.313 (0.330) Data 0.001 (0.003) Loss 1.2756 (1.3600) Prec@1 68.750 (68.453) Prec@5 86.719 (86.971) Epoch: [74][1070/10010] Time 0.322 (0.330) Data 0.001 (0.003) Loss 1.5869 (1.3601) Prec@1 61.719 (68.444) Prec@5 81.250 (86.962) Epoch: [74][1080/10010] Time 0.326 (0.330) Data 0.001 (0.003) Loss 1.1406 (1.3596) Prec@1 69.531 (68.444) Prec@5 92.188 (86.972) Epoch: [74][1090/10010] Time 0.332 (0.330) Data 0.000 (0.003) Loss 1.4640 (1.3592) Prec@1 64.062 (68.445) Prec@5 83.594 (86.967) Epoch: [74][1100/10010] Time 0.312 (0.330) Data 0.001 (0.003) Loss 1.4232 (1.3596) Prec@1 74.219 (68.443) Prec@5 86.719 (86.964) Epoch: [74][1110/10010] Time 0.339 (0.330) Data 0.001 (0.003) Loss 1.5654 (1.3590) Prec@1 63.281 (68.454) Prec@5 80.469 (86.959) Epoch: [74][1120/10010] Time 0.324 (0.330) Data 0.000 (0.003) Loss 1.3108 (1.3592) Prec@1 70.312 (68.450) Prec@5 86.719 (86.958) Epoch: [74][1130/10010] Time 0.337 (0.330) Data 0.001 (0.003) Loss 1.6077 (1.3601) Prec@1 61.719 (68.429) Prec@5 80.469 (86.947) Epoch: [74][1140/10010] Time 0.341 (0.330) Data 0.001 (0.003) Loss 1.2633 (1.3601) Prec@1 67.188 (68.434) Prec@5 85.938 (86.949) Epoch: [74][1150/10010] Time 0.331 (0.330) Data 0.001 (0.003) Loss 1.6065 (1.3606) Prec@1 64.062 (68.416) Prec@5 83.594 (86.940) Epoch: [74][1160/10010] Time 0.312 (0.330) Data 0.001 (0.003) Loss 1.4917 (1.3611) Prec@1 61.719 (68.403) Prec@5 83.594 (86.928) Epoch: [74][1170/10010] Time 0.334 (0.330) Data 0.001 (0.003) Loss 1.6903 (1.3610) Prec@1 66.406 (68.404) Prec@5 82.031 (86.924) Epoch: [74][1180/10010] Time 0.331 (0.330) Data 0.001 (0.003) Loss 1.1325 (1.3609) Prec@1 74.219 (68.413) Prec@5 90.625 (86.924) Epoch: [74][1190/10010] Time 0.331 (0.330) Data 0.001 (0.003) Loss 1.5019 (1.3605) Prec@1 62.500 (68.410) Prec@5 85.156 (86.933) Epoch: [74][1200/10010] Time 0.326 (0.330) Data 0.001 (0.003) Loss 1.5276 (1.3611) Prec@1 64.844 (68.377) Prec@5 84.375 (86.922) Epoch: [74][1210/10010] Time 0.342 (0.330) Data 0.000 (0.003) Loss 1.4507 (1.3614) Prec@1 67.969 (68.379) Prec@5 85.938 (86.911) Epoch: [74][1220/10010] Time 0.322 (0.330) Data 0.001 (0.003) Loss 1.2349 (1.3615) Prec@1 70.312 (68.367) Prec@5 86.719 (86.913) Epoch: [74][1230/10010] Time 0.337 (0.330) Data 0.001 (0.003) Loss 1.4457 (1.3613) Prec@1 66.406 (68.370) Prec@5 85.156 (86.922) Epoch: [74][1240/10010] Time 0.312 (0.330) Data 0.000 (0.003) Loss 1.2347 (1.3608) Prec@1 69.531 (68.372) Prec@5 88.281 (86.933) Epoch: [74][1250/10010] Time 0.315 (0.330) Data 0.000 (0.003) Loss 1.5690 (1.3612) Prec@1 64.062 (68.371) Prec@5 81.250 (86.932) Epoch: [74][1260/10010] Time 0.310 (0.330) Data 0.001 (0.003) Loss 1.2479 (1.3610) Prec@1 73.438 (68.384) Prec@5 87.500 (86.933) Epoch: [74][1270/10010] Time 0.341 (0.330) Data 0.001 (0.003) Loss 1.4215 (1.3610) Prec@1 70.312 (68.388) Prec@5 83.594 (86.927) Epoch: [74][1280/10010] Time 0.319 (0.329) Data 0.001 (0.003) Loss 1.3486 (1.3608) Prec@1 69.531 (68.399) Prec@5 85.938 (86.929) Epoch: [74][1290/10010] Time 0.338 (0.330) Data 0.001 (0.003) Loss 1.1879 (1.3609) Prec@1 76.562 (68.403) Prec@5 89.062 (86.925) Epoch: [74][1300/10010] Time 0.319 (0.330) Data 0.000 (0.003) Loss 1.5459 (1.3610) Prec@1 67.188 (68.398) Prec@5 88.281 (86.924) Epoch: [74][1310/10010] Time 0.339 (0.329) Data 0.001 (0.003) Loss 1.4860 (1.3610) Prec@1 64.062 (68.398) Prec@5 88.281 (86.924) Epoch: [74][1320/10010] Time 0.337 (0.330) Data 0.001 (0.003) Loss 1.5364 (1.3612) Prec@1 66.406 (68.395) Prec@5 82.812 (86.916) Epoch: [74][1330/10010] Time 0.340 (0.330) Data 0.000 (0.003) Loss 1.3131 (1.3604) Prec@1 72.656 (68.411) Prec@5 88.281 (86.932) Epoch: [74][1340/10010] Time 0.335 (0.330) Data 0.001 (0.003) Loss 1.5259 (1.3606) Prec@1 64.844 (68.399) Prec@5 86.719 (86.932) Epoch: [74][1350/10010] Time 0.321 (0.330) Data 0.000 (0.003) Loss 1.1176 (1.3604) Prec@1 72.656 (68.405) Prec@5 89.844 (86.934) Epoch: [74][1360/10010] Time 0.331 (0.330) Data 0.001 (0.003) Loss 1.3603 (1.3608) Prec@1 68.750 (68.405) Prec@5 89.062 (86.930) Epoch: [74][1370/10010] Time 0.343 (0.330) Data 0.001 (0.003) Loss 1.6137 (1.3612) Prec@1 65.625 (68.400) Prec@5 85.156 (86.922) Epoch: [74][1380/10010] Time 0.325 (0.330) Data 0.000 (0.003) Loss 1.2977 (1.3615) Prec@1 66.406 (68.402) Prec@5 88.281 (86.913) Epoch: [74][1390/10010] Time 0.339 (0.330) Data 0.000 (0.003) Loss 1.2710 (1.3619) Prec@1 69.531 (68.388) Prec@5 85.156 (86.910) Epoch: [74][1400/10010] Time 0.315 (0.330) Data 0.000 (0.003) Loss 1.2611 (1.3619) Prec@1 71.094 (68.396) Prec@5 89.844 (86.910) Epoch: [74][1410/10010] Time 0.334 (0.330) Data 0.001 (0.003) Loss 1.4368 (1.3618) Prec@1 67.188 (68.386) Prec@5 84.375 (86.913) Epoch: [74][1420/10010] Time 0.319 (0.330) Data 0.000 (0.003) Loss 1.6363 (1.3619) Prec@1 57.031 (68.382) Prec@5 85.938 (86.910) Epoch: [74][1430/10010] Time 0.337 (0.330) Data 0.001 (0.003) Loss 1.4853 (1.3621) Prec@1 63.281 (68.385) Prec@5 83.594 (86.901) Epoch: [74][1440/10010] Time 0.338 (0.330) Data 0.000 (0.003) Loss 1.3716 (1.3622) Prec@1 74.219 (68.389) Prec@5 86.719 (86.899) Epoch: [74][1450/10010] Time 0.343 (0.330) Data 0.000 (0.003) Loss 1.1062 (1.3615) Prec@1 67.969 (68.401) Prec@5 92.969 (86.909) Epoch: [74][1460/10010] Time 0.326 (0.330) Data 0.001 (0.003) Loss 1.5086 (1.3617) Prec@1 61.719 (68.388) Prec@5 82.812 (86.909) Epoch: [74][1470/10010] Time 0.323 (0.330) Data 0.001 (0.002) Loss 1.2923 (1.3616) Prec@1 69.531 (68.387) Prec@5 88.281 (86.912) Epoch: [74][1480/10010] Time 0.313 (0.330) Data 0.001 (0.002) Loss 1.2730 (1.3615) Prec@1 69.531 (68.382) Prec@5 89.062 (86.915) Epoch: [74][1490/10010] Time 0.333 (0.329) Data 0.001 (0.002) Loss 1.3053 (1.3619) Prec@1 68.750 (68.368) Prec@5 87.500 (86.906) Epoch: [74][1500/10010] Time 0.319 (0.329) Data 0.001 (0.002) Loss 1.5040 (1.3616) Prec@1 67.969 (68.384) Prec@5 85.938 (86.911) Epoch: [74][1510/10010] Time 0.332 (0.329) Data 0.001 (0.002) Loss 1.1154 (1.3614) Prec@1 75.000 (68.391) Prec@5 89.062 (86.915) Epoch: [74][1520/10010] Time 0.335 (0.329) Data 0.001 (0.002) Loss 1.2789 (1.3614) Prec@1 71.094 (68.396) Prec@5 86.719 (86.913) Epoch: [74][1530/10010] Time 0.323 (0.329) Data 0.001 (0.002) Loss 1.2855 (1.3612) Prec@1 71.094 (68.399) Prec@5 87.500 (86.913) Epoch: [74][1540/10010] Time 0.316 (0.329) Data 0.001 (0.002) Loss 1.2636 (1.3615) Prec@1 75.000 (68.397) Prec@5 89.062 (86.912) Epoch: [74][1550/10010] Time 0.314 (0.329) Data 0.001 (0.002) Loss 1.4307 (1.3616) Prec@1 67.969 (68.403) Prec@5 88.281 (86.918) Epoch: [74][1560/10010] Time 0.318 (0.329) Data 0.001 (0.002) Loss 1.1757 (1.3614) Prec@1 75.000 (68.399) Prec@5 88.281 (86.917) Epoch: [74][1570/10010] Time 0.320 (0.329) Data 0.001 (0.002) Loss 1.4751 (1.3617) Prec@1 64.844 (68.395) Prec@5 85.156 (86.910) Epoch: [74][1580/10010] Time 0.334 (0.329) Data 0.001 (0.002) Loss 1.4457 (1.3617) Prec@1 67.188 (68.397) Prec@5 85.156 (86.906) Epoch: [74][1590/10010] Time 0.329 (0.329) Data 0.000 (0.002) Loss 1.4307 (1.3614) Prec@1 65.625 (68.398) Prec@5 88.281 (86.906) Epoch: [74][1600/10010] Time 0.315 (0.329) Data 0.001 (0.002) Loss 1.2141 (1.3616) Prec@1 73.438 (68.407) Prec@5 89.062 (86.903) Epoch: [74][1610/10010] Time 0.323 (0.329) Data 0.000 (0.002) Loss 1.1774 (1.3618) Prec@1 72.656 (68.404) Prec@5 89.062 (86.899) Epoch: [74][1620/10010] Time 0.331 (0.329) Data 0.001 (0.002) Loss 1.4023 (1.3622) Prec@1 67.188 (68.394) Prec@5 86.719 (86.890) Epoch: [74][1630/10010] Time 0.319 (0.329) Data 0.001 (0.002) Loss 1.4400 (1.3624) Prec@1 64.844 (68.391) Prec@5 84.375 (86.884) Epoch: [74][1640/10010] Time 0.324 (0.329) Data 0.001 (0.002) Loss 1.6251 (1.3624) Prec@1 67.969 (68.382) Prec@5 81.250 (86.879) Epoch: [74][1650/10010] Time 0.339 (0.329) Data 0.001 (0.002) Loss 1.1318 (1.3619) Prec@1 67.969 (68.392) Prec@5 93.750 (86.885) Epoch: [74][1660/10010] Time 0.324 (0.329) Data 0.000 (0.002) Loss 1.3128 (1.3619) Prec@1 70.312 (68.390) Prec@5 87.500 (86.886) Epoch: [74][1670/10010] Time 0.329 (0.329) Data 0.001 (0.002) Loss 1.6574 (1.3623) Prec@1 60.938 (68.387) Prec@5 84.375 (86.878) Epoch: [74][1680/10010] Time 0.309 (0.329) Data 0.001 (0.002) Loss 1.0675 (1.3618) Prec@1 73.438 (68.387) Prec@5 90.625 (86.888) Epoch: [74][1690/10010] Time 0.332 (0.329) Data 0.001 (0.002) Loss 1.6455 (1.3622) Prec@1 63.281 (68.376) Prec@5 82.812 (86.883) Epoch: [74][1700/10010] Time 0.332 (0.329) Data 0.001 (0.002) Loss 1.4408 (1.3622) Prec@1 67.188 (68.373) Prec@5 83.594 (86.882) Epoch: [74][1710/10010] Time 0.327 (0.329) Data 0.001 (0.002) Loss 1.4124 (1.3622) Prec@1 69.531 (68.375) Prec@5 84.375 (86.881) Epoch: [74][1720/10010] Time 0.328 (0.329) Data 0.001 (0.002) Loss 1.2890 (1.3621) Prec@1 67.969 (68.373) Prec@5 88.281 (86.879) Epoch: [74][1730/10010] Time 0.326 (0.329) Data 0.001 (0.002) Loss 1.5157 (1.3620) Prec@1 65.625 (68.373) Prec@5 82.812 (86.879) Epoch: [74][1740/10010] Time 0.316 (0.329) Data 0.001 (0.002) Loss 1.3500 (1.3620) Prec@1 68.750 (68.380) Prec@5 85.156 (86.878) Epoch: [74][1750/10010] Time 0.328 (0.329) Data 0.001 (0.002) Loss 1.5201 (1.3623) Prec@1 62.500 (68.371) Prec@5 83.594 (86.877) Epoch: [74][1760/10010] Time 0.334 (0.329) Data 0.001 (0.002) Loss 1.6772 (1.3625) Prec@1 58.594 (68.356) Prec@5 82.812 (86.875) Epoch: [74][1770/10010] Time 0.313 (0.329) Data 0.001 (0.002) Loss 1.1594 (1.3624) Prec@1 70.312 (68.363) Prec@5 89.062 (86.872) Epoch: [74][1780/10010] Time 0.317 (0.329) Data 0.001 (0.002) Loss 1.2988 (1.3622) Prec@1 71.875 (68.366) Prec@5 88.281 (86.871) Epoch: [74][1790/10010] Time 0.332 (0.329) Data 0.000 (0.002) Loss 1.1683 (1.3624) Prec@1 69.531 (68.360) Prec@5 89.062 (86.867) Epoch: [74][1800/10010] Time 0.318 (0.329) Data 0.001 (0.002) Loss 1.1404 (1.3620) Prec@1 75.781 (68.367) Prec@5 92.969 (86.878) Epoch: [74][1810/10010] Time 0.321 (0.329) Data 0.001 (0.002) Loss 1.0778 (1.3616) Prec@1 77.344 (68.375) Prec@5 88.281 (86.880) Epoch: [74][1820/10010] Time 0.334 (0.329) Data 0.001 (0.002) Loss 1.1437 (1.3615) Prec@1 74.219 (68.378) Prec@5 90.625 (86.886) Epoch: [74][1830/10010] Time 0.321 (0.329) Data 0.000 (0.002) Loss 1.4865 (1.3614) Prec@1 67.188 (68.383) Prec@5 84.375 (86.884) Epoch: [74][1840/10010] Time 0.312 (0.329) Data 0.001 (0.002) Loss 1.7407 (1.3617) Prec@1 64.062 (68.379) Prec@5 85.938 (86.881) Epoch: [74][1850/10010] Time 0.322 (0.329) Data 0.000 (0.002) Loss 1.1694 (1.3614) Prec@1 77.344 (68.391) Prec@5 87.500 (86.884) Epoch: [74][1860/10010] Time 0.311 (0.329) Data 0.001 (0.002) Loss 1.3253 (1.3608) Prec@1 67.188 (68.395) Prec@5 85.938 (86.890) Epoch: [74][1870/10010] Time 0.330 (0.329) Data 0.001 (0.002) Loss 1.3612 (1.3606) Prec@1 69.531 (68.407) Prec@5 85.938 (86.894) Epoch: [74][1880/10010] Time 0.338 (0.329) Data 0.001 (0.002) Loss 1.5913 (1.3610) Prec@1 60.156 (68.398) Prec@5 81.250 (86.891) Epoch: [74][1890/10010] Time 0.334 (0.329) Data 0.000 (0.002) Loss 1.3593 (1.3610) Prec@1 71.094 (68.394) Prec@5 85.938 (86.888) Epoch: [74][1900/10010] Time 0.338 (0.329) Data 0.001 (0.002) Loss 1.1651 (1.3610) Prec@1 71.094 (68.389) Prec@5 88.281 (86.886) Epoch: [74][1910/10010] Time 0.328 (0.329) Data 0.001 (0.002) Loss 1.0120 (1.3606) Prec@1 76.562 (68.400) Prec@5 91.406 (86.889) Epoch: [74][1920/10010] Time 0.334 (0.329) Data 0.001 (0.002) Loss 1.9743 (1.3609) Prec@1 54.688 (68.391) Prec@5 79.688 (86.883) Epoch: [74][1930/10010] Time 0.320 (0.329) Data 0.001 (0.002) Loss 1.5257 (1.3610) Prec@1 63.281 (68.385) Prec@5 85.156 (86.885) Epoch: [74][1940/10010] Time 0.309 (0.329) Data 0.001 (0.002) Loss 1.4150 (1.3611) Prec@1 63.281 (68.378) Prec@5 87.500 (86.884) Epoch: [74][1950/10010] Time 0.339 (0.329) Data 0.001 (0.002) Loss 1.6312 (1.3610) Prec@1 60.938 (68.375) Prec@5 83.594 (86.883) Epoch: [74][1960/10010] Time 0.336 (0.329) Data 0.001 (0.002) Loss 1.2323 (1.3610) Prec@1 69.531 (68.375) Prec@5 89.844 (86.878) Epoch: [74][1970/10010] Time 0.321 (0.329) Data 0.001 (0.002) Loss 1.5227 (1.3610) Prec@1 67.969 (68.375) Prec@5 85.938 (86.875) Epoch: [74][1980/10010] Time 0.332 (0.329) Data 0.001 (0.002) Loss 1.5648 (1.3612) Prec@1 67.969 (68.375) Prec@5 84.375 (86.873) Epoch: [74][1990/10010] Time 0.336 (0.329) Data 0.001 (0.002) Loss 1.2633 (1.3613) Prec@1 67.969 (68.372) Prec@5 89.062 (86.869) Epoch: [74][2000/10010] Time 0.340 (0.329) Data 0.001 (0.002) Loss 1.2905 (1.3612) Prec@1 65.625 (68.373) Prec@5 86.719 (86.872) Epoch: [74][2010/10010] Time 0.320 (0.329) Data 0.001 (0.002) Loss 1.3514 (1.3611) Prec@1 68.750 (68.377) Prec@5 85.156 (86.877) Epoch: [74][2020/10010] Time 0.335 (0.329) Data 0.001 (0.002) Loss 1.5105 (1.3610) Prec@1 64.062 (68.382) Prec@5 84.375 (86.878) Epoch: [74][2030/10010] Time 0.335 (0.329) Data 0.001 (0.002) Loss 1.5395 (1.3613) Prec@1 63.281 (68.375) Prec@5 82.031 (86.874) Epoch: [74][2040/10010] Time 0.321 (0.329) Data 0.001 (0.002) Loss 1.0188 (1.3614) Prec@1 77.344 (68.374) Prec@5 88.281 (86.869) Epoch: [74][2050/10010] Time 0.320 (0.329) Data 0.001 (0.002) Loss 1.4144 (1.3617) Prec@1 67.969 (68.368) Prec@5 88.281 (86.865) Epoch: [74][2060/10010] Time 0.337 (0.329) Data 0.001 (0.002) Loss 1.2570 (1.3620) Prec@1 68.750 (68.363) Prec@5 89.844 (86.861) Epoch: [74][2070/10010] Time 0.323 (0.329) Data 0.000 (0.002) Loss 1.1206 (1.3617) Prec@1 72.656 (68.367) Prec@5 89.844 (86.864) Epoch: [74][2080/10010] Time 0.322 (0.329) Data 0.001 (0.002) Loss 1.0783 (1.3612) Prec@1 74.219 (68.377) Prec@5 92.188 (86.868) Epoch: [74][2090/10010] Time 0.328 (0.329) Data 0.001 (0.002) Loss 1.2812 (1.3610) Prec@1 71.094 (68.382) Prec@5 89.844 (86.871) Epoch: [74][2100/10010] Time 0.316 (0.329) Data 0.001 (0.002) Loss 1.4636 (1.3610) Prec@1 64.844 (68.380) Prec@5 83.594 (86.874) Epoch: [74][2110/10010] Time 0.332 (0.329) Data 0.001 (0.002) Loss 1.6942 (1.3608) Prec@1 57.031 (68.376) Prec@5 78.906 (86.878) Epoch: [74][2120/10010] Time 0.323 (0.329) Data 0.000 (0.002) Loss 1.6256 (1.3609) Prec@1 60.938 (68.375) Prec@5 84.375 (86.876) Epoch: [74][2130/10010] Time 0.320 (0.329) Data 0.001 (0.002) Loss 1.4135 (1.3609) Prec@1 67.969 (68.371) Prec@5 85.156 (86.875) Epoch: [74][2140/10010] Time 0.318 (0.329) Data 0.001 (0.002) Loss 1.5762 (1.3609) Prec@1 68.750 (68.379) Prec@5 84.375 (86.872) Epoch: [74][2150/10010] Time 0.305 (0.329) Data 0.000 (0.002) Loss 1.5030 (1.3614) Prec@1 64.062 (68.373) Prec@5 83.594 (86.862) Epoch: [74][2160/10010] Time 0.333 (0.329) Data 0.000 (0.002) Loss 1.3210 (1.3610) Prec@1 69.531 (68.380) Prec@5 86.719 (86.867) Epoch: [74][2170/10010] Time 0.333 (0.329) Data 0.001 (0.002) Loss 1.0964 (1.3608) Prec@1 75.781 (68.385) Prec@5 89.062 (86.864) Epoch: [74][2180/10010] Time 0.321 (0.329) Data 0.001 (0.002) Loss 1.5507 (1.3612) Prec@1 60.938 (68.373) Prec@5 84.375 (86.858) Epoch: [74][2190/10010] Time 0.337 (0.329) Data 0.001 (0.002) Loss 1.4671 (1.3608) Prec@1 68.750 (68.384) Prec@5 84.375 (86.862) Epoch: [74][2200/10010] Time 0.331 (0.329) Data 0.000 (0.002) Loss 1.2378 (1.3605) Prec@1 64.844 (68.385) Prec@5 85.938 (86.865) Epoch: [74][2210/10010] Time 0.341 (0.329) Data 0.001 (0.002) Loss 1.4174 (1.3604) Prec@1 64.844 (68.385) Prec@5 91.406 (86.870) /data/vision/torralba/deepscene/lib/anaconda2/lib/python2.7/site-packages/PIL/TiffImagePlugin.py:692: UserWarning: Possibly corrupt EXIF data. Expecting to read 1835008 bytes but only got 0. Skipping tag 0 "Skipping tag %s" % (size, len(data), tag)) Epoch: [74][2220/10010] Time 0.330 (0.329) Data 0.001 (0.002) Loss 1.1822 (1.3600) Prec@1 70.312 (68.395) Prec@5 90.625 (86.871) Epoch: [74][2230/10010] Time 0.323 (0.329) Data 0.000 (0.002) Loss 1.1739 (1.3598) Prec@1 70.312 (68.402) Prec@5 89.062 (86.876) Epoch: [74][2240/10010] Time 0.317 (0.329) Data 0.001 (0.002) Loss 1.4107 (1.3601) Prec@1 63.281 (68.392) Prec@5 89.844 (86.876) Epoch: [74][2250/10010] Time 0.312 (0.329) Data 0.001 (0.002) Loss 1.1237 (1.3602) Prec@1 73.438 (68.389) Prec@5 87.500 (86.878) Epoch: [74][2260/10010] Time 0.339 (0.329) Data 0.001 (0.002) Loss 1.7112 (1.3603) Prec@1 58.594 (68.383) Prec@5 81.250 (86.874) Epoch: [74][2270/10010] Time 0.335 (0.329) Data 0.001 (0.002) Loss 1.3519 (1.3603) Prec@1 68.750 (68.388) Prec@5 85.156 (86.871) Epoch: [74][2280/10010] Time 0.337 (0.329) Data 0.001 (0.002) Loss 1.1970 (1.3603) Prec@1 72.656 (68.387) Prec@5 89.844 (86.870) Epoch: [74][2290/10010] Time 0.333 (0.329) Data 0.000 (0.002) Loss 1.1791 (1.3604) Prec@1 75.781 (68.391) Prec@5 89.844 (86.870) Epoch: [74][2300/10010] Time 0.319 (0.329) Data 0.000 (0.002) Loss 1.3880 (1.3605) Prec@1 70.312 (68.394) Prec@5 87.500 (86.871) Epoch: [74][2310/10010] Time 0.322 (0.329) Data 0.001 (0.002) Loss 1.4820 (1.3606) Prec@1 63.281 (68.390) Prec@5 83.594 (86.866) Epoch: [74][2320/10010] Time 0.317 (0.329) Data 0.001 (0.002) Loss 1.8557 (1.3610) Prec@1 57.031 (68.381) Prec@5 81.250 (86.862) Epoch: [74][2330/10010] Time 0.339 (0.329) Data 0.001 (0.002) Loss 1.6682 (1.3608) Prec@1 56.250 (68.380) Prec@5 83.594 (86.867) Epoch: [74][2340/10010] Time 0.338 (0.329) Data 0.001 (0.002) Loss 1.3552 (1.3610) Prec@1 69.531 (68.380) Prec@5 85.156 (86.862) /data/vision/torralba/deepscene/lib/anaconda2/lib/python2.7/site-packages/PIL/TiffImagePlugin.py:692: UserWarning: Possibly corrupt EXIF data. Expecting to read 2555904 bytes but only got 0. Skipping tag 0 "Skipping tag %s" % (size, len(data), tag)) Epoch: [74][2350/10010] Time 0.334 (0.329) Data 0.001 (0.002) Loss 1.7577 (1.3610) Prec@1 61.719 (68.385) Prec@5 83.594 (86.861) Epoch: [74][2360/10010] Time 0.322 (0.329) Data 0.001 (0.002) Loss 0.9966 (1.3608) Prec@1 78.125 (68.389) Prec@5 92.969 (86.867) Epoch: [74][2370/10010] Time 0.327 (0.329) Data 0.000 (0.002) Loss 1.1380 (1.3609) Prec@1 72.656 (68.396) Prec@5 89.062 (86.865) Epoch: [74][2380/10010] Time 0.327 (0.329) Data 0.001 (0.002) Loss 1.4518 (1.3610) Prec@1 64.062 (68.387) Prec@5 87.500 (86.864) Epoch: [74][2390/10010] Time 0.337 (0.329) Data 0.001 (0.002) Loss 1.3659 (1.3612) Prec@1 67.969 (68.383) Prec@5 89.844 (86.859) Epoch: [74][2400/10010] Time 0.313 (0.329) Data 0.001 (0.002) Loss 1.4808 (1.3614) Prec@1 64.844 (68.382) Prec@5 86.719 (86.855) Epoch: [74][2410/10010] Time 0.342 (0.329) Data 0.001 (0.002) Loss 1.4545 (1.3617) Prec@1 64.844 (68.372) Prec@5 84.375 (86.853) Epoch: [74][2420/10010] Time 0.341 (0.329) Data 0.000 (0.002) Loss 1.2192 (1.3620) Prec@1 75.000 (68.367) Prec@5 85.938 (86.851) Epoch: [74][2430/10010] Time 0.333 (0.329) Data 0.001 (0.002) Loss 1.3247 (1.3619) Prec@1 70.312 (68.374) Prec@5 89.062 (86.852) Epoch: [74][2440/10010] Time 0.339 (0.329) Data 0.000 (0.002) Loss 1.2707 (1.3620) Prec@1 71.875 (68.370) Prec@5 88.281 (86.851) Epoch: [74][2450/10010] Time 0.321 (0.329) Data 0.001 (0.002) Loss 1.2905 (1.3615) Prec@1 70.312 (68.373) Prec@5 87.500 (86.861) Epoch: [74][2460/10010] Time 0.330 (0.329) Data 0.001 (0.002) Loss 1.4374 (1.3617) Prec@1 66.406 (68.368) Prec@5 85.938 (86.861) Epoch: [74][2470/10010] Time 0.314 (0.329) Data 0.001 (0.002) Loss 1.5911 (1.3622) Prec@1 66.406 (68.356) Prec@5 82.031 (86.852) Epoch: [74][2480/10010] Time 0.314 (0.329) Data 0.001 (0.002) Loss 1.2397 (1.3623) Prec@1 73.438 (68.359) Prec@5 87.500 (86.848) Epoch: [74][2490/10010] Time 0.314 (0.329) Data 0.000 (0.002) Loss 1.4412 (1.3623) Prec@1 70.312 (68.362) Prec@5 85.156 (86.851) Epoch: [74][2500/10010] Time 0.320 (0.329) Data 0.000 (0.002) Loss 1.7551 (1.3623) Prec@1 61.719 (68.362) Prec@5 81.250 (86.851) Epoch: [74][2510/10010] Time 0.314 (0.329) Data 0.001 (0.002) Loss 1.2758 (1.3627) Prec@1 74.219 (68.356) Prec@5 86.719 (86.846) Epoch: [74][2520/10010] Time 0.320 (0.329) Data 0.000 (0.002) Loss 1.2083 (1.3631) Prec@1 67.188 (68.350) Prec@5 90.625 (86.839) Epoch: [74][2530/10010] Time 0.322 (0.329) Data 0.001 (0.002) Loss 1.6272 (1.3629) Prec@1 60.156 (68.355) Prec@5 82.812 (86.841) Epoch: [74][2540/10010] Time 0.323 (0.329) Data 0.000 (0.002) Loss 1.3568 (1.3628) Prec@1 66.406 (68.351) Prec@5 87.500 (86.842) Epoch: [74][2550/10010] Time 0.316 (0.329) Data 0.001 (0.002) Loss 1.3732 (1.3627) Prec@1 75.000 (68.359) Prec@5 85.938 (86.842) Epoch: [74][2560/10010] Time 0.318 (0.329) Data 0.001 (0.002) Loss 1.1897 (1.3625) Prec@1 71.094 (68.363) Prec@5 86.719 (86.846) Epoch: [74][2570/10010] Time 0.334 (0.329) Data 0.001 (0.002) Loss 1.4646 (1.3626) Prec@1 66.406 (68.363) Prec@5 83.594 (86.844) Epoch: [74][2580/10010] Time 0.324 (0.329) Data 0.001 (0.002) Loss 1.3055 (1.3625) Prec@1 67.188 (68.364) Prec@5 88.281 (86.848) Epoch: [74][2590/10010] Time 0.339 (0.328) Data 0.001 (0.002) Loss 1.2722 (1.3627) Prec@1 71.094 (68.365) Prec@5 87.500 (86.843) Epoch: [74][2600/10010] Time 0.331 (0.329) Data 0.000 (0.002) Loss 1.6769 (1.3628) Prec@1 62.500 (68.363) Prec@5 82.031 (86.839) Epoch: [74][2610/10010] Time 0.340 (0.329) Data 0.001 (0.002) Loss 1.2163 (1.3631) Prec@1 68.750 (68.359) Prec@5 90.625 (86.838) Epoch: [74][2620/10010] Time 0.329 (0.329) Data 0.001 (0.002) Loss 1.4839 (1.3630) Prec@1 62.500 (68.354) Prec@5 84.375 (86.841) Epoch: [74][2630/10010] Time 0.323 (0.329) Data 0.001 (0.002) Loss 1.6048 (1.3631) Prec@1 60.938 (68.356) Prec@5 83.594 (86.839) Epoch: [74][2640/10010] Time 0.319 (0.328) Data 0.001 (0.002) Loss 1.1945 (1.3631) Prec@1 68.750 (68.356) Prec@5 91.406 (86.837) Epoch: [74][2650/10010] Time 0.316 (0.328) Data 0.001 (0.002) Loss 1.3015 (1.3629) Prec@1 64.062 (68.358) Prec@5 87.500 (86.840) Epoch: [74][2660/10010] Time 0.315 (0.328) Data 0.001 (0.002) Loss 1.4297 (1.3626) Prec@1 68.750 (68.368) Prec@5 84.375 (86.846) Epoch: [74][2670/10010] Time 0.328 (0.328) Data 0.001 (0.002) Loss 1.1796 (1.3625) Prec@1 70.312 (68.369) Prec@5 89.844 (86.849) Epoch: [74][2680/10010] Time 0.328 (0.328) Data 0.001 (0.002) Loss 1.4225 (1.3624) Prec@1 63.281 (68.369) Prec@5 87.500 (86.856) Epoch: [74][2690/10010] Time 0.314 (0.328) Data 0.001 (0.002) Loss 1.5366 (1.3625) Prec@1 68.750 (68.367) Prec@5 84.375 (86.856) Epoch: [74][2700/10010] Time 0.332 (0.328) Data 0.000 (0.002) Loss 1.2847 (1.3625) Prec@1 68.750 (68.367) Prec@5 85.938 (86.858) Epoch: [74][2710/10010] Time 0.338 (0.328) Data 0.001 (0.002) Loss 1.5161 (1.3624) Prec@1 64.062 (68.370) Prec@5 84.375 (86.859) /data/vision/torralba/deepscene/lib/anaconda2/lib/python2.7/site-packages/PIL/TiffImagePlugin.py:692: UserWarning: Possibly corrupt EXIF data. Expecting to read 2555904 bytes but only got 0. Skipping tag 0 "Skipping tag %s" % (size, len(data), tag)) Epoch: [74][2720/10010] Time 0.326 (0.328) Data 0.000 (0.002) Loss 1.2081 (1.3621) Prec@1 75.781 (68.377) Prec@5 87.500 (86.861) Epoch: [74][2730/10010] Time 0.337 (0.328) Data 0.001 (0.002) Loss 1.4427 (1.3621) Prec@1 66.406 (68.380) Prec@5 86.719 (86.864) Epoch: [74][2740/10010] Time 0.338 (0.328) Data 0.001 (0.002) Loss 1.2597 (1.3625) Prec@1 67.969 (68.368) Prec@5 85.938 (86.858) Epoch: [74][2750/10010] Time 0.340 (0.328) Data 0.001 (0.002) Loss 1.3608 (1.3627) Prec@1 65.625 (68.362) Prec@5 87.500 (86.858) Epoch: [74][2760/10010] Time 0.330 (0.328) Data 0.001 (0.002) Loss 1.3177 (1.3630) Prec@1 66.406 (68.357) Prec@5 85.938 (86.856) Epoch: [74][2770/10010] Time 0.328 (0.328) Data 0.001 (0.002) Loss 1.2459 (1.3626) Prec@1 72.656 (68.363) Prec@5 87.500 (86.863) Epoch: [74][2780/10010] Time 0.320 (0.328) Data 0.001 (0.002) Loss 1.1895 (1.3627) Prec@1 70.312 (68.357) Prec@5 88.281 (86.864) Epoch: [74][2790/10010] Time 0.323 (0.328) Data 0.001 (0.002) Loss 1.6052 (1.3632) Prec@1 64.062 (68.352) Prec@5 85.156 (86.860) Epoch: [74][2800/10010] Time 0.336 (0.328) Data 0.000 (0.002) Loss 1.1508 (1.3631) Prec@1 73.438 (68.352) Prec@5 89.844 (86.861) Epoch: [74][2810/10010] Time 0.317 (0.328) Data 0.000 (0.002) Loss 1.3358 (1.3628) Prec@1 71.875 (68.359) Prec@5 89.844 (86.866) Epoch: [74][2820/10010] Time 0.327 (0.328) Data 0.000 (0.002) Loss 1.2742 (1.3629) Prec@1 67.969 (68.356) Prec@5 89.062 (86.868) Epoch: [74][2830/10010] Time 0.335 (0.328) Data 0.001 (0.002) Loss 1.3023 (1.3628) Prec@1 67.969 (68.360) Prec@5 86.719 (86.873) Epoch: [74][2840/10010] Time 0.334 (0.328) Data 0.001 (0.002) Loss 1.1610 (1.3625) Prec@1 74.219 (68.371) Prec@5 85.156 (86.874) Epoch: [74][2850/10010] Time 0.320 (0.328) Data 0.001 (0.002) Loss 1.3531 (1.3623) Prec@1 71.094 (68.375) Prec@5 85.938 (86.877) Epoch: [74][2860/10010] Time 0.315 (0.328) Data 0.001 (0.002) Loss 1.3580 (1.3623) Prec@1 71.875 (68.376) Prec@5 89.844 (86.878) Epoch: [74][2870/10010] Time 0.316 (0.328) Data 0.001 (0.002) Loss 1.5492 (1.3626) Prec@1 63.281 (68.373) Prec@5 84.375 (86.874) Epoch: [74][2880/10010] Time 0.319 (0.328) Data 0.001 (0.002) Loss 1.2093 (1.3627) Prec@1 65.625 (68.371) Prec@5 89.062 (86.873) Epoch: [74][2890/10010] Time 0.335 (0.328) Data 0.000 (0.002) Loss 1.3651 (1.3630) Prec@1 67.188 (68.367) Prec@5 85.938 (86.870) Epoch: [74][2900/10010] Time 0.318 (0.328) Data 0.001 (0.002) Loss 1.5103 (1.3631) Prec@1 68.750 (68.366) Prec@5 85.156 (86.870) Epoch: [74][2910/10010] Time 0.341 (0.328) Data 0.001 (0.002) Loss 1.0930 (1.3627) Prec@1 75.000 (68.372) Prec@5 90.625 (86.874) Epoch: [74][2920/10010] Time 0.318 (0.328) Data 0.001 (0.002) Loss 1.5327 (1.3627) Prec@1 64.062 (68.375) Prec@5 85.156 (86.875) Epoch: [74][2930/10010] Time 0.330 (0.328) Data 0.001 (0.002) Loss 1.4007 (1.3626) Prec@1 73.438 (68.374) Prec@5 85.156 (86.875) Epoch: [74][2940/10010] Time 0.336 (0.328) Data 0.001 (0.002) Loss 1.2136 (1.3626) Prec@1 68.750 (68.372) Prec@5 87.500 (86.878) Epoch: [74][2950/10010] Time 0.321 (0.328) Data 0.001 (0.002) Loss 1.1447 (1.3628) Prec@1 73.438 (68.369) Prec@5 89.844 (86.877) Epoch: [74][2960/10010] Time 0.323 (0.328) Data 0.000 (0.002) Loss 1.4461 (1.3627) Prec@1 68.750 (68.374) Prec@5 81.250 (86.876) Epoch: [74][2970/10010] Time 0.318 (0.328) Data 0.000 (0.002) Loss 1.2604 (1.3629) Prec@1 69.531 (68.366) Prec@5 88.281 (86.869) Epoch: [74][2980/10010] Time 0.324 (0.328) Data 0.001 (0.002) Loss 1.5082 (1.3629) Prec@1 64.844 (68.365) Prec@5 83.594 (86.868) Epoch: [74][2990/10010] Time 0.316 (0.328) Data 0.000 (0.002) Loss 1.6021 (1.3630) Prec@1 62.500 (68.365) Prec@5 82.812 (86.867) Epoch: [74][3000/10010] Time 0.336 (0.328) Data 0.000 (0.002) Loss 1.3327 (1.3635) Prec@1 70.312 (68.350) Prec@5 87.500 (86.857) Epoch: [74][3010/10010] Time 0.311 (0.328) Data 0.001 (0.002) Loss 1.1953 (1.3635) Prec@1 71.094 (68.349) Prec@5 88.281 (86.857) Epoch: [74][3020/10010] Time 0.339 (0.328) Data 0.001 (0.002) Loss 1.5159 (1.3635) Prec@1 67.969 (68.351) Prec@5 83.594 (86.860) Epoch: [74][3030/10010] Time 0.317 (0.328) Data 0.001 (0.002) Loss 1.4234 (1.3634) Prec@1 66.406 (68.353) Prec@5 87.500 (86.861) Epoch: [74][3040/10010] Time 0.338 (0.328) Data 0.001 (0.002) Loss 1.3227 (1.3633) Prec@1 74.219 (68.355) Prec@5 85.938 (86.860) Epoch: [74][3050/10010] Time 0.340 (0.328) Data 0.000 (0.002) Loss 1.3628 (1.3633) Prec@1 70.312 (68.357) Prec@5 85.938 (86.862) Epoch: [74][3060/10010] Time 0.321 (0.328) Data 0.000 (0.002) Loss 1.3397 (1.3634) Prec@1 67.188 (68.355) Prec@5 85.938 (86.862) Epoch: [74][3070/10010] Time 0.313 (0.328) Data 0.001 (0.002) Loss 1.5429 (1.3634) Prec@1 64.062 (68.353) Prec@5 84.375 (86.858) Epoch: [74][3080/10010] Time 0.330 (0.328) Data 0.000 (0.002) Loss 1.3423 (1.3636) Prec@1 68.750 (68.354) Prec@5 87.500 (86.853) Epoch: [74][3090/10010] Time 0.330 (0.328) Data 0.001 (0.002) Loss 1.2778 (1.3639) Prec@1 72.656 (68.348) Prec@5 89.844 (86.850) Epoch: [74][3100/10010] Time 0.327 (0.328) Data 0.000 (0.002) Loss 1.2779 (1.3636) Prec@1 72.656 (68.354) Prec@5 86.719 (86.856) Epoch: [74][3110/10010] Time 0.339 (0.328) Data 0.001 (0.002) Loss 1.3648 (1.3635) Prec@1 69.531 (68.356) Prec@5 86.719 (86.857) Epoch: [74][3120/10010] Time 0.317 (0.328) Data 0.001 (0.002) Loss 1.6266 (1.3636) Prec@1 60.156 (68.354) Prec@5 81.250 (86.856) Epoch: [74][3130/10010] Time 0.337 (0.328) Data 0.001 (0.002) Loss 1.3389 (1.3635) Prec@1 71.875 (68.356) Prec@5 86.719 (86.856) Epoch: [74][3140/10010] Time 0.316 (0.328) Data 0.000 (0.002) Loss 1.5243 (1.3635) Prec@1 68.750 (68.354) Prec@5 84.375 (86.855) Epoch: [74][3150/10010] Time 0.322 (0.328) Data 0.001 (0.002) Loss 1.3023 (1.3634) Prec@1 66.406 (68.356) Prec@5 86.719 (86.855) Epoch: [74][3160/10010] Time 0.341 (0.328) Data 0.001 (0.002) Loss 1.4091 (1.3633) Prec@1 67.969 (68.357) Prec@5 89.062 (86.858) Epoch: [74][3170/10010] Time 0.316 (0.328) Data 0.001 (0.002) Loss 1.6547 (1.3637) Prec@1 59.375 (68.354) Prec@5 82.031 (86.849) Epoch: [74][3180/10010] Time 0.313 (0.328) Data 0.001 (0.002) Loss 1.5395 (1.3638) Prec@1 67.188 (68.350) Prec@5 83.594 (86.849) Epoch: [74][3190/10010] Time 0.337 (0.328) Data 0.001 (0.002) Loss 1.0307 (1.3634) Prec@1 73.438 (68.356) Prec@5 92.969 (86.856) Epoch: [74][3200/10010] Time 0.330 (0.328) Data 0.000 (0.001) Loss 1.2206 (1.3635) Prec@1 69.531 (68.354) Prec@5 86.719 (86.858) Epoch: [74][3210/10010] Time 0.333 (0.328) Data 0.001 (0.001) Loss 1.3157 (1.3634) Prec@1 67.969 (68.356) Prec@5 89.844 (86.860) Epoch: [74][3220/10010] Time 0.337 (0.328) Data 0.001 (0.001) Loss 1.2344 (1.3633) Prec@1 72.656 (68.359) Prec@5 89.062 (86.864) Epoch: [74][3230/10010] Time 0.317 (0.328) Data 0.001 (0.001) Loss 1.6630 (1.3635) Prec@1 62.500 (68.356) Prec@5 81.250 (86.862) Epoch: [74][3240/10010] Time 0.339 (0.328) Data 0.001 (0.001) Loss 1.5039 (1.3636) Prec@1 63.281 (68.351) Prec@5 84.375 (86.862) Epoch: [74][3250/10010] Time 0.328 (0.328) Data 0.001 (0.001) Loss 1.4369 (1.3637) Prec@1 68.750 (68.350) Prec@5 82.812 (86.860) Epoch: [74][3260/10010] Time 0.329 (0.328) Data 0.001 (0.001) Loss 1.4772 (1.3637) Prec@1 67.188 (68.350) Prec@5 86.719 (86.861) Epoch: [74][3270/10010] Time 0.316 (0.328) Data 0.001 (0.001) Loss 1.2619 (1.3639) Prec@1 73.438 (68.350) Prec@5 88.281 (86.858) Epoch: [74][3280/10010] Time 0.334 (0.328) Data 0.001 (0.001) Loss 1.5406 (1.3641) Prec@1 67.188 (68.343) Prec@5 82.031 (86.852) Epoch: [74][3290/10010] Time 0.343 (0.328) Data 0.000 (0.001) Loss 1.1838 (1.3640) Prec@1 70.312 (68.341) Prec@5 89.062 (86.854) Epoch: [74][3300/10010] Time 0.345 (0.328) Data 0.000 (0.001) Loss 1.1269 (1.3640) Prec@1 71.094 (68.342) Prec@5 88.281 (86.854) Epoch: [74][3310/10010] Time 0.337 (0.328) Data 0.001 (0.001) Loss 1.2249 (1.3639) Prec@1 71.875 (68.346) Prec@5 89.062 (86.857) Epoch: [74][3320/10010] Time 0.342 (0.328) Data 0.000 (0.001) Loss 1.3794 (1.3640) Prec@1 68.750 (68.340) Prec@5 88.281 (86.857) Epoch: [74][3330/10010] Time 0.339 (0.328) Data 0.001 (0.001) Loss 1.2333 (1.3643) Prec@1 69.531 (68.342) Prec@5 87.500 (86.852) Epoch: [74][3340/10010] Time 0.321 (0.328) Data 0.000 (0.001) Loss 1.2151 (1.3644) Prec@1 70.312 (68.345) Prec@5 89.062 (86.852) Epoch: [74][3350/10010] Time 0.320 (0.328) Data 0.001 (0.001) Loss 1.0648 (1.3641) Prec@1 71.875 (68.350) Prec@5 92.969 (86.858) Epoch: [74][3360/10010] Time 0.342 (0.328) Data 0.001 (0.001) Loss 1.4222 (1.3640) Prec@1 67.969 (68.349) Prec@5 86.719 (86.859) Epoch: [74][3370/10010] Time 0.333 (0.328) Data 0.001 (0.001) Loss 1.4347 (1.3641) Prec@1 66.406 (68.349) Prec@5 85.938 (86.858) Epoch: [74][3380/10010] Time 0.321 (0.328) Data 0.000 (0.001) Loss 1.4490 (1.3641) Prec@1 66.406 (68.344) Prec@5 84.375 (86.856) Epoch: [74][3390/10010] Time 0.317 (0.328) Data 0.000 (0.001) Loss 1.3436 (1.3640) Prec@1 65.625 (68.347) Prec@5 85.156 (86.858) Epoch: [74][3400/10010] Time 0.344 (0.328) Data 0.001 (0.001) Loss 1.2774 (1.3638) Prec@1 74.219 (68.349) Prec@5 89.062 (86.862) Epoch: [74][3410/10010] Time 0.316 (0.328) Data 0.001 (0.001) Loss 1.4173 (1.3639) Prec@1 64.062 (68.342) Prec@5 85.938 (86.861) Epoch: [74][3420/10010] Time 0.343 (0.328) Data 0.000 (0.001) Loss 1.4448 (1.3640) Prec@1 69.531 (68.344) Prec@5 85.938 (86.860) Epoch: [74][3430/10010] Time 0.330 (0.328) Data 0.001 (0.001) Loss 1.4397 (1.3640) Prec@1 64.844 (68.342) Prec@5 82.812 (86.858) Epoch: [74][3440/10010] Time 0.315 (0.328) Data 0.001 (0.001) Loss 1.5241 (1.3641) Prec@1 67.188 (68.340) Prec@5 82.031 (86.855) Epoch: [74][3450/10010] Time 0.319 (0.328) Data 0.001 (0.001) Loss 1.3508 (1.3641) Prec@1 65.625 (68.339) Prec@5 84.375 (86.854) Epoch: [74][3460/10010] Time 0.335 (0.328) Data 0.001 (0.001) Loss 1.3051 (1.3641) Prec@1 71.875 (68.341) Prec@5 88.281 (86.855) Epoch: [74][3470/10010] Time 0.333 (0.328) Data 0.000 (0.001) Loss 1.4710 (1.3641) Prec@1 64.844 (68.340) Prec@5 84.375 (86.854) Epoch: [74][3480/10010] Time 0.332 (0.328) Data 0.001 (0.001) Loss 1.3126 (1.3643) Prec@1 70.312 (68.337) Prec@5 85.156 (86.850) Epoch: [74][3490/10010] Time 0.320 (0.328) Data 0.000 (0.001) Loss 1.4962 (1.3646) Prec@1 69.531 (68.333) Prec@5 85.938 (86.846) Epoch: [74][3500/10010] Time 0.317 (0.328) Data 0.001 (0.001) Loss 1.2588 (1.3648) Prec@1 69.531 (68.328) Prec@5 87.500 (86.843) Epoch: [74][3510/10010] Time 0.325 (0.328) Data 0.001 (0.001) Loss 1.2429 (1.3647) Prec@1 74.219 (68.333) Prec@5 90.625 (86.844) Epoch: [74][3520/10010] Time 0.320 (0.328) Data 0.000 (0.001) Loss 1.3950 (1.3646) Prec@1 74.219 (68.333) Prec@5 87.500 (86.845) Epoch: [74][3530/10010] Time 0.320 (0.328) Data 0.001 (0.001) Loss 1.4693 (1.3648) Prec@1 69.531 (68.334) Prec@5 86.719 (86.843) Epoch: [74][3540/10010] Time 0.329 (0.328) Data 0.001 (0.001) Loss 1.3104 (1.3649) Prec@1 66.406 (68.335) Prec@5 86.719 (86.842) Epoch: [74][3550/10010] Time 0.324 (0.328) Data 0.001 (0.001) Loss 1.4139 (1.3648) Prec@1 67.188 (68.337) Prec@5 87.500 (86.842) Epoch: [74][3560/10010] Time 0.328 (0.328) Data 0.001 (0.001) Loss 1.0845 (1.3648) Prec@1 75.000 (68.335) Prec@5 91.406 (86.840) Epoch: [74][3570/10010] Time 0.320 (0.328) Data 0.001 (0.001) Loss 1.3701 (1.3648) Prec@1 65.625 (68.336) Prec@5 86.719 (86.841) Epoch: [74][3580/10010] Time 0.336 (0.328) Data 0.000 (0.001) Loss 1.6084 (1.3649) Prec@1 62.500 (68.337) Prec@5 82.812 (86.840) Epoch: [74][3590/10010] Time 0.335 (0.328) Data 0.000 (0.001) Loss 1.5619 (1.3650) Prec@1 58.594 (68.330) Prec@5 84.375 (86.841) Epoch: [74][3600/10010] Time 0.319 (0.328) Data 0.001 (0.001) Loss 1.3567 (1.3650) Prec@1 71.875 (68.328) Prec@5 89.062 (86.843) Epoch: [74][3610/10010] Time 0.330 (0.328) Data 0.001 (0.001) Loss 1.5074 (1.3649) Prec@1 66.406 (68.334) Prec@5 85.938 (86.845) Epoch: [74][3620/10010] Time 0.331 (0.328) Data 0.001 (0.001) Loss 1.5121 (1.3649) Prec@1 67.969 (68.335) Prec@5 85.156 (86.847) Epoch: [74][3630/10010] Time 0.323 (0.328) Data 0.000 (0.001) Loss 1.2964 (1.3646) Prec@1 71.094 (68.343) Prec@5 87.500 (86.851) Epoch: [74][3640/10010] Time 0.321 (0.328) Data 0.000 (0.001) Loss 1.0726 (1.3647) Prec@1 75.781 (68.344) Prec@5 91.406 (86.849) Epoch: [74][3650/10010] Time 0.322 (0.328) Data 0.000 (0.001) Loss 1.4319 (1.3647) Prec@1 64.844 (68.342) Prec@5 83.594 (86.847) Epoch: [74][3660/10010] Time 0.325 (0.328) Data 0.000 (0.001) Loss 1.2030 (1.3646) Prec@1 73.438 (68.345) Prec@5 89.062 (86.848) Epoch: [74][3670/10010] Time 0.336 (0.328) Data 0.001 (0.001) Loss 1.3274 (1.3645) Prec@1 67.188 (68.347) Prec@5 85.938 (86.850) Epoch: [74][3680/10010] Time 0.333 (0.328) Data 0.001 (0.001) Loss 1.5807 (1.3646) Prec@1 63.281 (68.347) Prec@5 82.031 (86.848) Epoch: [74][3690/10010] Time 0.323 (0.328) Data 0.001 (0.001) Loss 1.4630 (1.3647) Prec@1 61.719 (68.342) Prec@5 84.375 (86.845) Epoch: [74][3700/10010] Time 0.315 (0.328) Data 0.000 (0.001) Loss 1.0149 (1.3647) Prec@1 74.219 (68.339) Prec@5 91.406 (86.844) Epoch: [74][3710/10010] Time 0.318 (0.328) Data 0.001 (0.001) Loss 1.2034 (1.3646) Prec@1 73.438 (68.342) Prec@5 89.844 (86.846) Epoch: [74][3720/10010] Time 0.325 (0.328) Data 0.001 (0.001) Loss 1.4435 (1.3647) Prec@1 64.062 (68.338) Prec@5 83.594 (86.840) Epoch: [74][3730/10010] Time 0.331 (0.328) Data 0.001 (0.001) Loss 1.4569 (1.3647) Prec@1 69.531 (68.342) Prec@5 85.938 (86.841) Epoch: [74][3740/10010] Time 0.341 (0.328) Data 0.001 (0.001) Loss 1.0808 (1.3645) Prec@1 71.875 (68.345) Prec@5 92.188 (86.844) Epoch: [74][3750/10010] Time 0.314 (0.328) Data 0.001 (0.001) Loss 1.2032 (1.3645) Prec@1 71.875 (68.342) Prec@5 89.844 (86.845) Epoch: [74][3760/10010] Time 0.332 (0.328) Data 0.001 (0.001) Loss 1.2235 (1.3644) Prec@1 71.875 (68.343) Prec@5 88.281 (86.847) Epoch: [74][3770/10010] Time 0.318 (0.328) Data 0.000 (0.001) Loss 1.4727 (1.3645) Prec@1 63.281 (68.342) Prec@5 84.375 (86.846) /data/vision/torralba/deepscene/lib/anaconda2/lib/python2.7/site-packages/PIL/TiffImagePlugin.py:692: UserWarning: Possibly corrupt EXIF data. Expecting to read 2555904 bytes but only got 0. Skipping tag 0 "Skipping tag %s" % (size, len(data), tag)) Epoch: [74][3780/10010] Time 0.327 (0.328) Data 0.001 (0.001) Loss 1.3331 (1.3645) Prec@1 64.062 (68.339) Prec@5 87.500 (86.845) Epoch: [74][3790/10010] Time 0.314 (0.328) Data 0.001 (0.001) Loss 1.3268 (1.3645) Prec@1 65.625 (68.340) Prec@5 86.719 (86.845) Epoch: [74][3800/10010] Time 0.337 (0.328) Data 0.001 (0.001) Loss 1.4859 (1.3647) Prec@1 68.750 (68.337) Prec@5 86.719 (86.841) Epoch: [74][3810/10010] Time 0.332 (0.328) Data 0.001 (0.001) Loss 1.3811 (1.3649) Prec@1 65.625 (68.334) Prec@5 89.062 (86.838) Epoch: [74][3820/10010] Time 0.336 (0.328) Data 0.000 (0.001) Loss 1.5190 (1.3649) Prec@1 64.062 (68.334) Prec@5 87.500 (86.840) Epoch: [74][3830/10010] Time 0.329 (0.328) Data 0.001 (0.001) Loss 1.5188 (1.3650) Prec@1 62.500 (68.333) Prec@5 85.156 (86.838) Epoch: [74][3840/10010] Time 0.332 (0.328) Data 0.000 (0.001) Loss 1.1456 (1.3648) Prec@1 72.656 (68.337) Prec@5 90.625 (86.840) Epoch: [74][3850/10010] Time 0.324 (0.328) Data 0.001 (0.001) Loss 1.3680 (1.3647) Prec@1 66.406 (68.339) Prec@5 86.719 (86.841) Epoch: [74][3860/10010] Time 0.320 (0.328) Data 0.000 (0.001) Loss 1.2642 (1.3650) Prec@1 70.312 (68.337) Prec@5 89.062 (86.838) Epoch: [74][3870/10010] Time 0.326 (0.328) Data 0.001 (0.001) Loss 1.3608 (1.3650) Prec@1 67.188 (68.338) Prec@5 86.719 (86.837) Epoch: [74][3880/10010] Time 0.319 (0.328) Data 0.001 (0.001) Loss 1.2620 (1.3651) Prec@1 70.312 (68.334) Prec@5 88.281 (86.836) Epoch: [74][3890/10010] Time 0.322 (0.328) Data 0.001 (0.001) Loss 1.5239 (1.3651) Prec@1 65.625 (68.337) Prec@5 82.812 (86.836) Epoch: [74][3900/10010] Time 0.319 (0.328) Data 0.001 (0.001) Loss 1.3260 (1.3651) Prec@1 70.312 (68.333) Prec@5 88.281 (86.836) Epoch: [74][3910/10010] Time 0.323 (0.328) Data 0.001 (0.001) Loss 1.3962 (1.3650) Prec@1 63.281 (68.332) Prec@5 86.719 (86.837) Epoch: [74][3920/10010] Time 0.336 (0.328) Data 0.001 (0.001) Loss 1.8067 (1.3653) Prec@1 59.375 (68.326) Prec@5 82.031 (86.835) Epoch: [74][3930/10010] Time 0.328 (0.328) Data 0.000 (0.001) Loss 1.5395 (1.3654) Prec@1 66.406 (68.322) Prec@5 82.031 (86.834) Epoch: [74][3940/10010] Time 0.321 (0.328) Data 0.001 (0.001) Loss 1.2002 (1.3655) Prec@1 71.094 (68.319) Prec@5 85.938 (86.832) Epoch: [74][3950/10010] Time 0.327 (0.328) Data 0.001 (0.001) Loss 1.1915 (1.3654) Prec@1 68.750 (68.318) Prec@5 87.500 (86.834) Epoch: [74][3960/10010] Time 0.321 (0.328) Data 0.001 (0.001) Loss 1.3440 (1.3652) Prec@1 65.625 (68.319) Prec@5 86.719 (86.837) Epoch: [74][3970/10010] Time 0.332 (0.328) Data 0.000 (0.001) Loss 1.3568 (1.3652) Prec@1 67.188 (68.313) Prec@5 86.719 (86.836) Epoch: [74][3980/10010] Time 0.338 (0.328) Data 0.001 (0.001) Loss 1.2080 (1.3651) Prec@1 71.875 (68.317) Prec@5 87.500 (86.840) Epoch: [74][3990/10010] Time 0.333 (0.328) Data 0.001 (0.001) Loss 1.3207 (1.3649) Prec@1 69.531 (68.321) Prec@5 85.938 (86.842) Epoch: [74][4000/10010] Time 0.312 (0.328) Data 0.001 (0.001) Loss 1.1954 (1.3649) Prec@1 71.094 (68.320) Prec@5 88.281 (86.840) Epoch: [74][4010/10010] Time 0.325 (0.328) Data 0.000 (0.001) Loss 1.6242 (1.3650) Prec@1 64.062 (68.319) Prec@5 82.031 (86.837) Epoch: [74][4020/10010] Time 0.346 (0.328) Data 0.001 (0.001) Loss 1.3845 (1.3651) Prec@1 67.969 (68.317) Prec@5 84.375 (86.837) Epoch: [74][4030/10010] Time 0.342 (0.328) Data 0.000 (0.001) Loss 1.2361 (1.3652) Prec@1 70.312 (68.314) Prec@5 87.500 (86.837) Epoch: [74][4040/10010] Time 0.334 (0.328) Data 0.001 (0.001) Loss 1.5515 (1.3653) Prec@1 65.625 (68.314) Prec@5 80.469 (86.834) Epoch: [74][4050/10010] Time 0.334 (0.328) Data 0.000 (0.001) Loss 1.4722 (1.3654) Prec@1 61.719 (68.312) Prec@5 84.375 (86.832) Epoch: [74][4060/10010] Time 0.330 (0.328) Data 0.000 (0.001) Loss 1.2494 (1.3653) Prec@1 70.312 (68.309) Prec@5 87.500 (86.835) Epoch: [74][4070/10010] Time 0.334 (0.328) Data 0.001 (0.001) Loss 1.6188 (1.3654) Prec@1 67.188 (68.309) Prec@5 83.594 (86.833) Epoch: [74][4080/10010] Time 0.327 (0.328) Data 0.001 (0.001) Loss 1.1255 (1.3652) Prec@1 75.000 (68.316) Prec@5 92.969 (86.836) Epoch: [74][4090/10010] Time 0.340 (0.328) Data 0.000 (0.001) Loss 1.4253 (1.3654) Prec@1 67.188 (68.308) Prec@5 86.719 (86.832) Epoch: [74][4100/10010] Time 0.337 (0.328) Data 0.000 (0.001) Loss 1.5164 (1.3654) Prec@1 62.500 (68.310) Prec@5 85.156 (86.831) Epoch: [74][4110/10010] Time 0.329 (0.328) Data 0.001 (0.001) Loss 1.3505 (1.3655) Prec@1 69.531 (68.309) Prec@5 89.062 (86.829) Epoch: [74][4120/10010] Time 0.329 (0.328) Data 0.001 (0.001) Loss 1.4527 (1.3657) Prec@1 64.844 (68.304) Prec@5 85.938 (86.827) Epoch: [74][4130/10010] Time 0.340 (0.328) Data 0.001 (0.001) Loss 1.2309 (1.3657) Prec@1 71.094 (68.308) Prec@5 89.844 (86.826) Epoch: [74][4140/10010] Time 0.327 (0.328) Data 0.001 (0.001) Loss 1.4452 (1.3656) Prec@1 66.406 (68.310) Prec@5 85.938 (86.828) Epoch: [74][4150/10010] Time 0.324 (0.328) Data 0.001 (0.001) Loss 1.3960 (1.3658) Prec@1 63.281 (68.307) Prec@5 88.281 (86.824) Epoch: [74][4160/10010] Time 0.324 (0.328) Data 0.001 (0.001) Loss 1.4261 (1.3658) Prec@1 66.406 (68.307) Prec@5 85.156 (86.824) Epoch: [74][4170/10010] Time 0.335 (0.328) Data 0.000 (0.001) Loss 1.5173 (1.3658) Prec@1 65.625 (68.305) Prec@5 84.375 (86.822) Epoch: [74][4180/10010] Time 0.337 (0.328) Data 0.001 (0.001) Loss 1.2720 (1.3659) Prec@1 73.438 (68.302) Prec@5 88.281 (86.819) Epoch: [74][4190/10010] Time 0.339 (0.328) Data 0.001 (0.001) Loss 1.2242 (1.3658) Prec@1 69.531 (68.304) Prec@5 88.281 (86.821) Epoch: [74][4200/10010] Time 0.338 (0.328) Data 0.001 (0.001) Loss 1.3812 (1.3657) Prec@1 67.188 (68.306) Prec@5 85.156 (86.820) Epoch: [74][4210/10010] Time 0.329 (0.328) Data 0.001 (0.001) Loss 1.4061 (1.3657) Prec@1 71.094 (68.305) Prec@5 87.500 (86.821) Epoch: [74][4220/10010] Time 0.318 (0.328) Data 0.001 (0.001) Loss 1.5476 (1.3656) Prec@1 61.719 (68.302) Prec@5 82.812 (86.822) Epoch: [74][4230/10010] Time 0.332 (0.328) Data 0.001 (0.001) Loss 1.3804 (1.3659) Prec@1 64.844 (68.296) Prec@5 85.938 (86.818) Epoch: [74][4240/10010] Time 0.322 (0.328) Data 0.000 (0.001) Loss 1.5537 (1.3658) Prec@1 60.156 (68.298) Prec@5 86.719 (86.819) Epoch: [74][4250/10010] Time 0.327 (0.328) Data 0.000 (0.001) Loss 1.5918 (1.3659) Prec@1 62.500 (68.298) Prec@5 82.812 (86.819) Epoch: [74][4260/10010] Time 0.320 (0.328) Data 0.001 (0.001) Loss 1.3658 (1.3658) Prec@1 74.219 (68.302) Prec@5 87.500 (86.819) Epoch: [74][4270/10010] Time 0.323 (0.328) Data 0.001 (0.001) Loss 1.6183 (1.3658) Prec@1 67.188 (68.305) Prec@5 79.688 (86.820) Epoch: [74][4280/10010] Time 0.314 (0.328) Data 0.001 (0.001) Loss 1.6748 (1.3660) Prec@1 63.281 (68.304) Prec@5 82.812 (86.814) Epoch: [74][4290/10010] Time 0.322 (0.328) Data 0.001 (0.001) Loss 1.6372 (1.3663) Prec@1 64.062 (68.298) Prec@5 82.031 (86.814) Epoch: [74][4300/10010] Time 0.323 (0.328) Data 0.001 (0.001) Loss 1.7385 (1.3664) Prec@1 62.500 (68.293) Prec@5 82.812 (86.811) Epoch: [74][4310/10010] Time 0.333 (0.328) Data 0.001 (0.001) Loss 1.2217 (1.3663) Prec@1 71.094 (68.294) Prec@5 89.844 (86.811) Epoch: [74][4320/10010] Time 0.313 (0.328) Data 0.001 (0.001) Loss 1.2702 (1.3664) Prec@1 71.875 (68.292) Prec@5 89.062 (86.811) Epoch: [74][4330/10010] Time 0.336 (0.328) Data 0.001 (0.001) Loss 1.5452 (1.3666) Prec@1 68.750 (68.293) Prec@5 82.812 (86.808) Epoch: [74][4340/10010] Time 0.337 (0.328) Data 0.001 (0.001) Loss 1.5674 (1.3666) Prec@1 64.844 (68.293) Prec@5 83.594 (86.810) Epoch: [74][4350/10010] Time 0.329 (0.328) Data 0.000 (0.001) Loss 1.4621 (1.3666) Prec@1 69.531 (68.291) Prec@5 85.156 (86.809) Epoch: [74][4360/10010] Time 0.319 (0.328) Data 0.001 (0.001) Loss 1.4246 (1.3666) Prec@1 68.750 (68.289) Prec@5 87.500 (86.810) Epoch: [74][4370/10010] Time 0.320 (0.328) Data 0.001 (0.001) Loss 1.0920 (1.3665) Prec@1 71.875 (68.291) Prec@5 91.406 (86.812) Epoch: [74][4380/10010] Time 0.322 (0.328) Data 0.001 (0.001) Loss 1.5457 (1.3663) Prec@1 64.062 (68.296) Prec@5 83.594 (86.815) Epoch: [74][4390/10010] Time 0.328 (0.328) Data 0.000 (0.001) Loss 1.1935 (1.3664) Prec@1 70.312 (68.291) Prec@5 86.719 (86.813) Epoch: [74][4400/10010] Time 0.337 (0.328) Data 0.001 (0.001) Loss 1.4109 (1.3664) Prec@1 65.625 (68.290) Prec@5 85.938 (86.812) Epoch: [74][4410/10010] Time 0.322 (0.328) Data 0.000 (0.001) Loss 1.4045 (1.3666) Prec@1 64.062 (68.286) Prec@5 85.156 (86.810) Epoch: [74][4420/10010] Time 0.331 (0.328) Data 0.000 (0.001) Loss 1.4072 (1.3665) Prec@1 65.625 (68.289) Prec@5 86.719 (86.812) Epoch: [74][4430/10010] Time 0.327 (0.328) Data 0.001 (0.001) Loss 1.3197 (1.3665) Prec@1 73.438 (68.290) Prec@5 86.719 (86.810) Epoch: [74][4440/10010] Time 0.326 (0.328) Data 0.001 (0.001) Loss 1.3512 (1.3666) Prec@1 65.625 (68.286) Prec@5 86.719 (86.809) Epoch: [74][4450/10010] Time 0.327 (0.328) Data 0.000 (0.001) Loss 1.3379 (1.3665) Prec@1 71.875 (68.290) Prec@5 86.719 (86.810) Epoch: [74][4460/10010] Time 0.329 (0.328) Data 0.001 (0.001) Loss 1.3787 (1.3665) Prec@1 70.312 (68.290) Prec@5 85.938 (86.808) Epoch: [74][4470/10010] Time 0.325 (0.328) Data 0.001 (0.001) Loss 1.5752 (1.3664) Prec@1 62.500 (68.286) Prec@5 85.156 (86.810) Epoch: [74][4480/10010] Time 0.329 (0.328) Data 0.001 (0.001) Loss 1.5506 (1.3666) Prec@1 59.375 (68.282) Prec@5 88.281 (86.810) Epoch: [74][4490/10010] Time 0.332 (0.328) Data 0.001 (0.001) Loss 1.2331 (1.3666) Prec@1 67.969 (68.283) Prec@5 87.500 (86.809) Epoch: [74][4500/10010] Time 0.334 (0.328) Data 0.001 (0.001) Loss 1.1299 (1.3663) Prec@1 68.750 (68.285) Prec@5 91.406 (86.813) Epoch: [74][4510/10010] Time 0.333 (0.328) Data 0.001 (0.001) Loss 1.1269 (1.3666) Prec@1 70.312 (68.278) Prec@5 92.188 (86.807) Epoch: [74][4520/10010] Time 0.322 (0.328) Data 0.001 (0.001) Loss 1.5751 (1.3664) Prec@1 67.188 (68.282) Prec@5 80.469 (86.808) Epoch: [74][4530/10010] Time 0.324 (0.328) Data 0.000 (0.001) Loss 1.2196 (1.3664) Prec@1 71.875 (68.285) Prec@5 89.844 (86.808) Epoch: [74][4540/10010] Time 0.340 (0.328) Data 0.001 (0.001) Loss 1.3911 (1.3663) Prec@1 66.406 (68.287) Prec@5 88.281 (86.807) Epoch: [74][4550/10010] Time 0.315 (0.328) Data 0.001 (0.001) Loss 1.3678 (1.3665) Prec@1 64.844 (68.283) Prec@5 92.188 (86.806) Epoch: [74][4560/10010] Time 0.321 (0.328) Data 0.001 (0.001) Loss 1.3319 (1.3666) Prec@1 63.281 (68.280) Prec@5 87.500 (86.805) Epoch: [74][4570/10010] Time 0.319 (0.328) Data 0.000 (0.001) Loss 1.3887 (1.3665) Prec@1 62.500 (68.282) Prec@5 85.938 (86.808) Epoch: [74][4580/10010] Time 0.328 (0.328) Data 0.001 (0.001) Loss 1.6579 (1.3664) Prec@1 62.500 (68.285) Prec@5 78.125 (86.808) Epoch: [74][4590/10010] Time 0.316 (0.328) Data 0.001 (0.001) Loss 1.4939 (1.3665) Prec@1 64.062 (68.284) Prec@5 86.719 (86.808) Epoch: [74][4600/10010] Time 0.337 (0.328) Data 0.000 (0.001) Loss 1.3588 (1.3665) Prec@1 69.531 (68.284) Prec@5 86.719 (86.810) Epoch: [74][4610/10010] Time 0.330 (0.328) Data 0.000 (0.001) Loss 1.2169 (1.3665) Prec@1 75.781 (68.283) Prec@5 89.062 (86.810) Epoch: [74][4620/10010] Time 0.315 (0.328) Data 0.001 (0.001) Loss 1.3877 (1.3666) Prec@1 70.312 (68.282) Prec@5 86.719 (86.807) Epoch: [74][4630/10010] Time 0.333 (0.328) Data 0.001 (0.001) Loss 1.4057 (1.3666) Prec@1 71.094 (68.283) Prec@5 87.500 (86.807) Epoch: [74][4640/10010] Time 0.319 (0.328) Data 0.001 (0.001) Loss 1.1190 (1.3667) Prec@1 74.219 (68.286) Prec@5 89.844 (86.807) Epoch: [74][4650/10010] Time 0.329 (0.328) Data 0.000 (0.001) Loss 1.3457 (1.3666) Prec@1 67.969 (68.285) Prec@5 86.719 (86.808) Epoch: [74][4660/10010] Time 0.336 (0.328) Data 0.000 (0.001) Loss 1.4058 (1.3665) Prec@1 68.750 (68.286) Prec@5 89.062 (86.809) /data/vision/torralba/deepscene/lib/anaconda2/lib/python2.7/site-packages/PIL/TiffImagePlugin.py:692: UserWarning: Possibly corrupt EXIF data. Expecting to read 2555904 bytes but only got 0. Skipping tag 0 "Skipping tag %s" % (size, len(data), tag)) Epoch: [74][4670/10010] Time 0.339 (0.328) Data 0.001 (0.001) Loss 1.2788 (1.3665) Prec@1 70.312 (68.285) Prec@5 87.500 (86.808) Epoch: [74][4680/10010] Time 0.320 (0.328) Data 0.001 (0.001) Loss 1.2013 (1.3667) Prec@1 72.656 (68.283) Prec@5 88.281 (86.805) Epoch: [74][4690/10010] Time 0.335 (0.328) Data 0.000 (0.001) Loss 1.6043 (1.3668) Prec@1 67.188 (68.281) Prec@5 82.031 (86.804) Epoch: [74][4700/10010] Time 0.321 (0.328) Data 0.001 (0.001) Loss 1.3526 (1.3668) Prec@1 72.656 (68.282) Prec@5 88.281 (86.803) Epoch: [74][4710/10010] Time 0.311 (0.328) Data 0.001 (0.001) Loss 1.3739 (1.3669) Prec@1 66.406 (68.281) Prec@5 88.281 (86.803) Epoch: [74][4720/10010] Time 0.324 (0.328) Data 0.000 (0.001) Loss 1.4356 (1.3669) Prec@1 63.281 (68.280) Prec@5 85.938 (86.803) Epoch: [74][4730/10010] Time 0.320 (0.328) Data 0.000 (0.001) Loss 1.4920 (1.3668) Prec@1 62.500 (68.281) Prec@5 84.375 (86.803) Epoch: [74][4740/10010] Time 0.317 (0.328) Data 0.001 (0.001) Loss 1.4682 (1.3670) Prec@1 67.969 (68.276) Prec@5 84.375 (86.802) Epoch: [74][4750/10010] Time 0.327 (0.328) Data 0.005 (0.001) Loss 1.3226 (1.3670) Prec@1 65.625 (68.276) Prec@5 86.719 (86.801) Epoch: [74][4760/10010] Time 0.320 (0.328) Data 0.001 (0.001) Loss 1.2676 (1.3670) Prec@1 67.969 (68.275) Prec@5 89.844 (86.802) Epoch: [74][4770/10010] Time 0.321 (0.328) Data 0.001 (0.001) Loss 1.5164 (1.3670) Prec@1 67.188 (68.273) Prec@5 81.250 (86.803) Epoch: [74][4780/10010] Time 0.320 (0.328) Data 0.001 (0.001) Loss 1.0962 (1.3672) Prec@1 70.312 (68.270) Prec@5 89.062 (86.800) Epoch: [74][4790/10010] Time 0.327 (0.328) Data 0.001 (0.001) Loss 1.2105 (1.3673) Prec@1 73.438 (68.269) Prec@5 85.938 (86.796) Epoch: [74][4800/10010] Time 0.317 (0.328) Data 0.001 (0.001) Loss 1.3655 (1.3672) Prec@1 66.406 (68.269) Prec@5 88.281 (86.796) Epoch: [74][4810/10010] Time 0.330 (0.328) Data 0.000 (0.001) Loss 0.9141 (1.3669) Prec@1 76.562 (68.274) Prec@5 92.188 (86.801) Epoch: [74][4820/10010] Time 0.338 (0.328) Data 0.000 (0.001) Loss 1.3868 (1.3670) Prec@1 70.312 (68.274) Prec@5 82.812 (86.799) Epoch: [74][4830/10010] Time 0.340 (0.328) Data 0.000 (0.001) Loss 1.2368 (1.3668) Prec@1 72.656 (68.280) Prec@5 87.500 (86.802) Epoch: [74][4840/10010] Time 0.336 (0.328) Data 0.000 (0.001) Loss 1.3326 (1.3668) Prec@1 68.750 (68.281) Prec@5 85.156 (86.802) Epoch: [74][4850/10010] Time 0.340 (0.328) Data 0.001 (0.001) Loss 1.1695 (1.3667) Prec@1 71.875 (68.281) Prec@5 89.844 (86.804) Epoch: [74][4860/10010] Time 0.318 (0.328) Data 0.001 (0.001) Loss 1.5645 (1.3668) Prec@1 62.500 (68.279) Prec@5 83.594 (86.803) Epoch: [74][4870/10010] Time 0.331 (0.328) Data 0.001 (0.001) Loss 1.3874 (1.3669) Prec@1 64.062 (68.277) Prec@5 88.281 (86.802) Epoch: [74][4880/10010] Time 0.337 (0.328) Data 0.001 (0.001) Loss 1.3396 (1.3669) Prec@1 68.750 (68.273) Prec@5 84.375 (86.801) Epoch: [74][4890/10010] Time 0.342 (0.328) Data 0.000 (0.001) Loss 1.2682 (1.3671) Prec@1 74.219 (68.270) Prec@5 85.938 (86.801) Epoch: [74][4900/10010] Time 0.320 (0.328) Data 0.000 (0.001) Loss 1.4150 (1.3670) Prec@1 69.531 (68.273) Prec@5 88.281 (86.802) Epoch: [74][4910/10010] Time 0.324 (0.328) Data 0.001 (0.001) Loss 1.3782 (1.3669) Prec@1 64.062 (68.271) Prec@5 86.719 (86.802) /data/vision/torralba/deepscene/lib/anaconda2/lib/python2.7/site-packages/PIL/TiffImagePlugin.py:709: UserWarning: Corrupt EXIF data. Expecting to read 4 bytes but only got 0. warnings.warn(str(msg)) Epoch: [74][4920/10010] Time 0.318 (0.328) Data 0.000 (0.001) Loss 1.2829 (1.3669) Prec@1 63.281 (68.268) Prec@5 86.719 (86.804) Epoch: [74][4930/10010] Time 0.314 (0.328) Data 0.001 (0.001) Loss 1.3461 (1.3669) Prec@1 67.188 (68.267) Prec@5 86.719 (86.803) Epoch: [74][4940/10010] Time 0.318 (0.328) Data 0.001 (0.001) Loss 1.2190 (1.3671) Prec@1 71.094 (68.262) Prec@5 89.062 (86.801) Epoch: [74][4950/10010] Time 0.342 (0.328) Data 0.000 (0.001) Loss 1.6230 (1.3671) Prec@1 58.594 (68.260) Prec@5 84.375 (86.802) Epoch: [74][4960/10010] Time 0.342 (0.328) Data 0.000 (0.001) Loss 1.2506 (1.3670) Prec@1 75.000 (68.262) Prec@5 86.719 (86.805) Epoch: [74][4970/10010] Time 0.343 (0.328) Data 0.001 (0.001) Loss 0.9762 (1.3670) Prec@1 79.688 (68.264) Prec@5 92.969 (86.806) Epoch: [74][4980/10010] Time 0.325 (0.328) Data 0.001 (0.001) Loss 1.2501 (1.3672) Prec@1 71.094 (68.261) Prec@5 89.844 (86.804) Epoch: [74][4990/10010] Time 0.322 (0.328) Data 0.001 (0.001) Loss 1.2947 (1.3671) Prec@1 67.969 (68.265) Prec@5 87.500 (86.807) Epoch: [74][5000/10010] Time 0.314 (0.328) Data 0.001 (0.001) Loss 1.2410 (1.3669) Prec@1 76.562 (68.269) Prec@5 89.062 (86.807) Epoch: [74][5010/10010] Time 0.316 (0.328) Data 0.001 (0.001) Loss 1.3086 (1.3669) Prec@1 72.656 (68.272) Prec@5 89.062 (86.810) Epoch: [74][5020/10010] Time 0.331 (0.328) Data 0.001 (0.001) Loss 1.3331 (1.3669) Prec@1 69.531 (68.270) Prec@5 88.281 (86.809) Epoch: [74][5030/10010] Time 0.315 (0.328) Data 0.001 (0.001) Loss 1.4572 (1.3669) Prec@1 71.875 (68.273) Prec@5 84.375 (86.807) Epoch: [74][5040/10010] Time 0.319 (0.328) Data 0.001 (0.001) Loss 1.4900 (1.3667) Prec@1 64.062 (68.277) Prec@5 85.156 (86.808) Epoch: [74][5050/10010] Time 0.317 (0.328) Data 0.000 (0.001) Loss 1.1381 (1.3666) Prec@1 71.875 (68.276) Prec@5 87.500 (86.809) Epoch: [74][5060/10010] Time 0.334 (0.328) Data 0.000 (0.001) Loss 1.5469 (1.3667) Prec@1 61.719 (68.275) Prec@5 83.594 (86.805) Epoch: [74][5070/10010] Time 0.337 (0.328) Data 0.001 (0.001) Loss 1.2739 (1.3668) Prec@1 70.312 (68.271) Prec@5 87.500 (86.802) Epoch: [74][5080/10010] Time 0.320 (0.328) Data 0.001 (0.001) Loss 1.7222 (1.3670) Prec@1 71.094 (68.268) Prec@5 84.375 (86.801) Epoch: [74][5090/10010] Time 0.322 (0.328) Data 0.001 (0.001) Loss 1.3651 (1.3671) Prec@1 65.625 (68.264) Prec@5 89.062 (86.801) Epoch: [74][5100/10010] Time 0.333 (0.328) Data 0.000 (0.001) Loss 1.2793 (1.3670) Prec@1 72.656 (68.268) Prec@5 86.719 (86.801) Epoch: [74][5110/10010] Time 0.320 (0.328) Data 0.000 (0.001) Loss 1.4760 (1.3670) Prec@1 68.750 (68.265) Prec@5 82.812 (86.801) Epoch: [74][5120/10010] Time 0.331 (0.328) Data 0.001 (0.001) Loss 1.3647 (1.3670) Prec@1 66.406 (68.266) Prec@5 82.031 (86.800) Epoch: [74][5130/10010] Time 0.339 (0.328) Data 0.000 (0.001) Loss 1.2318 (1.3669) Prec@1 70.312 (68.268) Prec@5 87.500 (86.801) Epoch: [74][5140/10010] Time 0.337 (0.328) Data 0.000 (0.001) Loss 1.0310 (1.3670) Prec@1 75.000 (68.266) Prec@5 91.406 (86.801) Epoch: [74][5150/10010] Time 0.328 (0.328) Data 0.000 (0.001) Loss 1.1910 (1.3671) Prec@1 71.875 (68.262) Prec@5 88.281 (86.799) Epoch: [74][5160/10010] Time 0.319 (0.328) Data 0.000 (0.001) Loss 1.3240 (1.3671) Prec@1 64.844 (68.262) Prec@5 85.938 (86.799) Epoch: [74][5170/10010] Time 0.324 (0.328) Data 0.000 (0.001) Loss 1.2498 (1.3671) Prec@1 72.656 (68.263) Prec@5 89.062 (86.800) Epoch: [74][5180/10010] Time 0.325 (0.328) Data 0.001 (0.001) Loss 1.0294 (1.3671) Prec@1 76.562 (68.263) Prec@5 92.188 (86.800) Epoch: [74][5190/10010] Time 0.339 (0.328) Data 0.001 (0.001) Loss 1.4849 (1.3670) Prec@1 66.406 (68.264) Prec@5 85.156 (86.800) Epoch: [74][5200/10010] Time 0.326 (0.328) Data 0.001 (0.001) Loss 1.3532 (1.3671) Prec@1 71.094 (68.263) Prec@5 89.062 (86.799) Epoch: [74][5210/10010] Time 0.328 (0.328) Data 0.000 (0.001) Loss 1.2037 (1.3671) Prec@1 70.312 (68.261) Prec@5 89.062 (86.800) Epoch: [74][5220/10010] Time 0.336 (0.328) Data 0.001 (0.001) Loss 1.4913 (1.3671) Prec@1 57.031 (68.257) Prec@5 85.156 (86.797) Epoch: [74][5230/10010] Time 0.329 (0.328) Data 0.000 (0.001) Loss 1.2323 (1.3671) Prec@1 71.875 (68.254) Prec@5 85.938 (86.797) Epoch: [74][5240/10010] Time 0.338 (0.328) Data 0.001 (0.001) Loss 1.5044 (1.3672) Prec@1 69.531 (68.257) Prec@5 85.938 (86.797) Epoch: [74][5250/10010] Time 0.333 (0.328) Data 0.001 (0.001) Loss 1.1998 (1.3672) Prec@1 72.656 (68.254) Prec@5 89.062 (86.795) Epoch: [74][5260/10010] Time 0.332 (0.328) Data 0.000 (0.001) Loss 1.4215 (1.3672) Prec@1 64.062 (68.251) Prec@5 83.594 (86.794) Epoch: [74][5270/10010] Time 0.338 (0.328) Data 0.001 (0.001) Loss 1.6416 (1.3675) Prec@1 57.812 (68.246) Prec@5 84.375 (86.790) Epoch: [74][5280/10010] Time 0.326 (0.328) Data 0.001 (0.001) Loss 1.2473 (1.3675) Prec@1 71.875 (68.247) Prec@5 85.156 (86.790) Epoch: [74][5290/10010] Time 0.335 (0.328) Data 0.000 (0.001) Loss 1.7770 (1.3677) Prec@1 57.031 (68.245) Prec@5 83.594 (86.787) Epoch: [74][5300/10010] Time 0.335 (0.328) Data 0.001 (0.001) Loss 1.4299 (1.3675) Prec@1 63.281 (68.245) Prec@5 84.375 (86.789) Epoch: [74][5310/10010] Time 0.325 (0.328) Data 0.001 (0.001) Loss 1.1921 (1.3676) Prec@1 67.188 (68.241) Prec@5 92.188 (86.790) Epoch: [74][5320/10010] Time 0.330 (0.328) Data 0.001 (0.001) Loss 1.7965 (1.3679) Prec@1 58.594 (68.234) Prec@5 79.688 (86.786) Epoch: [74][5330/10010] Time 0.321 (0.328) Data 0.001 (0.001) Loss 1.0613 (1.3678) Prec@1 74.219 (68.232) Prec@5 91.406 (86.786) Epoch: [74][5340/10010] Time 0.339 (0.328) Data 0.000 (0.001) Loss 1.2386 (1.3678) Prec@1 71.875 (68.232) Prec@5 89.062 (86.787) Epoch: [74][5350/10010] Time 0.339 (0.328) Data 0.001 (0.001) Loss 1.0358 (1.3679) Prec@1 74.219 (68.231) Prec@5 88.281 (86.786) Epoch: [74][5360/10010] Time 0.333 (0.328) Data 0.001 (0.001) Loss 1.4977 (1.3681) Prec@1 64.844 (68.228) Prec@5 83.594 (86.784) Epoch: [74][5370/10010] Time 0.337 (0.328) Data 0.001 (0.001) Loss 1.2121 (1.3681) Prec@1 71.094 (68.230) Prec@5 90.625 (86.784) Epoch: [74][5380/10010] Time 0.339 (0.328) Data 0.001 (0.001) Loss 1.4686 (1.3683) Prec@1 63.281 (68.227) Prec@5 83.594 (86.783) Epoch: [74][5390/10010] Time 0.330 (0.328) Data 0.001 (0.001) Loss 1.3849 (1.3682) Prec@1 70.312 (68.229) Prec@5 85.156 (86.784) Epoch: [74][5400/10010] Time 0.334 (0.328) Data 0.000 (0.001) Loss 1.1592 (1.3680) Prec@1 75.000 (68.232) Prec@5 88.281 (86.788) Epoch: [74][5410/10010] Time 0.321 (0.328) Data 0.001 (0.001) Loss 1.3984 (1.3678) Prec@1 66.406 (68.233) Prec@5 83.594 (86.789) Epoch: [74][5420/10010] Time 0.329 (0.328) Data 0.000 (0.001) Loss 1.5839 (1.3680) Prec@1 61.719 (68.229) Prec@5 84.375 (86.786) Epoch: [74][5430/10010] Time 0.328 (0.328) Data 0.001 (0.001) Loss 1.0978 (1.3680) Prec@1 73.438 (68.230) Prec@5 90.625 (86.786) Epoch: [74][5440/10010] Time 0.341 (0.328) Data 0.001 (0.001) Loss 1.7157 (1.3681) Prec@1 59.375 (68.227) Prec@5 82.031 (86.784) Epoch: [74][5450/10010] Time 0.325 (0.328) Data 0.001 (0.001) Loss 1.2509 (1.3681) Prec@1 67.188 (68.229) Prec@5 89.062 (86.785) Epoch: [74][5460/10010] Time 0.338 (0.328) Data 0.001 (0.001) Loss 1.2855 (1.3680) Prec@1 70.312 (68.231) Prec@5 87.500 (86.785) Epoch: [74][5470/10010] Time 0.314 (0.328) Data 0.001 (0.001) Loss 1.5984 (1.3681) Prec@1 61.719 (68.229) Prec@5 83.594 (86.785) Epoch: [74][5480/10010] Time 0.342 (0.328) Data 0.001 (0.001) Loss 1.4863 (1.3681) Prec@1 67.188 (68.230) Prec@5 82.812 (86.786) Epoch: [74][5490/10010] Time 0.319 (0.328) Data 0.001 (0.001) Loss 1.6778 (1.3680) Prec@1 65.625 (68.232) Prec@5 83.594 (86.788) Epoch: [74][5500/10010] Time 0.338 (0.328) Data 0.001 (0.001) Loss 1.0421 (1.3680) Prec@1 80.469 (68.235) Prec@5 92.969 (86.788) Epoch: [74][5510/10010] Time 0.330 (0.328) Data 0.001 (0.001) Loss 1.1567 (1.3680) Prec@1 75.000 (68.234) Prec@5 92.188 (86.789) Epoch: [74][5520/10010] Time 0.331 (0.328) Data 0.001 (0.001) Loss 1.4728 (1.3680) Prec@1 63.281 (68.234) Prec@5 86.719 (86.789) Epoch: [74][5530/10010] Time 0.338 (0.328) Data 0.000 (0.001) Loss 1.5672 (1.3680) Prec@1 70.312 (68.234) Prec@5 85.156 (86.788) Epoch: [74][5540/10010] Time 0.343 (0.328) Data 0.000 (0.001) Loss 1.1857 (1.3680) Prec@1 69.531 (68.231) Prec@5 88.281 (86.788) Epoch: [74][5550/10010] Time 0.320 (0.328) Data 0.001 (0.001) Loss 1.5901 (1.3680) Prec@1 64.844 (68.233) Prec@5 81.250 (86.787) Epoch: [74][5560/10010] Time 0.319 (0.328) Data 0.001 (0.001) Loss 1.4410 (1.3682) Prec@1 67.188 (68.228) Prec@5 89.062 (86.787) Epoch: [74][5570/10010] Time 0.341 (0.328) Data 0.001 (0.001) Loss 1.1471 (1.3680) Prec@1 77.344 (68.233) Prec@5 89.062 (86.788) Epoch: [74][5580/10010] Time 0.344 (0.328) Data 0.001 (0.001) Loss 1.2674 (1.3681) Prec@1 67.969 (68.231) Prec@5 88.281 (86.786) Epoch: [74][5590/10010] Time 0.317 (0.328) Data 0.001 (0.001) Loss 1.4154 (1.3681) Prec@1 66.406 (68.231) Prec@5 87.500 (86.785) Epoch: [74][5600/10010] Time 0.342 (0.328) Data 0.001 (0.001) Loss 1.7141 (1.3681) Prec@1 61.719 (68.233) Prec@5 80.469 (86.786) Epoch: [74][5610/10010] Time 0.320 (0.328) Data 0.001 (0.001) Loss 1.5819 (1.3682) Prec@1 66.406 (68.230) Prec@5 81.250 (86.783) Epoch: [74][5620/10010] Time 0.335 (0.328) Data 0.001 (0.001) Loss 1.3799 (1.3685) Prec@1 67.969 (68.226) Prec@5 86.719 (86.781) Epoch: [74][5630/10010] Time 0.321 (0.328) Data 0.000 (0.001) Loss 1.1595 (1.3684) Prec@1 78.906 (68.229) Prec@5 89.844 (86.783) Epoch: [74][5640/10010] Time 0.329 (0.328) Data 0.001 (0.001) Loss 1.3526 (1.3684) Prec@1 67.188 (68.229) Prec@5 85.156 (86.782) Epoch: [74][5650/10010] Time 0.321 (0.328) Data 0.001 (0.001) Loss 1.4002 (1.3685) Prec@1 68.750 (68.228) Prec@5 83.594 (86.781) Epoch: [74][5660/10010] Time 0.332 (0.328) Data 0.001 (0.001) Loss 1.0442 (1.3684) Prec@1 75.000 (68.226) Prec@5 89.844 (86.783) Epoch: [74][5670/10010] Time 0.338 (0.328) Data 0.001 (0.001) Loss 1.3836 (1.3685) Prec@1 67.969 (68.224) Prec@5 86.719 (86.782) Epoch: [74][5680/10010] Time 0.325 (0.328) Data 0.001 (0.001) Loss 1.2191 (1.3685) Prec@1 71.875 (68.224) Prec@5 88.281 (86.783) Epoch: [74][5690/10010] Time 0.343 (0.328) Data 0.001 (0.001) Loss 1.6608 (1.3687) Prec@1 60.156 (68.220) Prec@5 87.500 (86.782) Epoch: [74][5700/10010] Time 0.319 (0.328) Data 0.001 (0.001) Loss 1.0645 (1.3686) Prec@1 77.344 (68.221) Prec@5 92.969 (86.781) Epoch: [74][5710/10010] Time 0.320 (0.328) Data 0.001 (0.001) Loss 1.7586 (1.3687) Prec@1 59.375 (68.221) Prec@5 81.250 (86.781) Epoch: [74][5720/10010] Time 0.328 (0.328) Data 0.001 (0.001) Loss 1.0300 (1.3687) Prec@1 77.344 (68.219) Prec@5 89.062 (86.783) Epoch: [74][5730/10010] Time 0.319 (0.328) Data 0.000 (0.001) Loss 1.4871 (1.3687) Prec@1 64.844 (68.218) Prec@5 84.375 (86.784) Epoch: [74][5740/10010] Time 0.324 (0.328) Data 0.000 (0.001) Loss 1.2826 (1.3686) Prec@1 72.656 (68.221) Prec@5 92.188 (86.785) Epoch: [74][5750/10010] Time 0.318 (0.328) Data 0.001 (0.001) Loss 1.4079 (1.3684) Prec@1 66.406 (68.223) Prec@5 85.938 (86.786) Epoch: [74][5760/10010] Time 0.337 (0.328) Data 0.001 (0.001) Loss 1.3940 (1.3683) Prec@1 67.969 (68.229) Prec@5 89.844 (86.788) Epoch: [74][5770/10010] Time 0.327 (0.328) Data 0.001 (0.001) Loss 1.4965 (1.3683) Prec@1 65.625 (68.228) Prec@5 85.156 (86.789) Epoch: [74][5780/10010] Time 0.335 (0.328) Data 0.000 (0.001) Loss 1.3720 (1.3683) Prec@1 71.875 (68.228) Prec@5 86.719 (86.790) Epoch: [74][5790/10010] Time 0.320 (0.328) Data 0.001 (0.001) Loss 1.3467 (1.3682) Prec@1 67.188 (68.228) Prec@5 87.500 (86.793) Epoch: [74][5800/10010] Time 0.320 (0.328) Data 0.000 (0.001) Loss 1.2377 (1.3683) Prec@1 71.094 (68.228) Prec@5 85.156 (86.793) Epoch: [74][5810/10010] Time 0.343 (0.328) Data 0.000 (0.001) Loss 1.3585 (1.3682) Prec@1 66.406 (68.232) Prec@5 86.719 (86.794) Epoch: [74][5820/10010] Time 0.330 (0.328) Data 0.001 (0.001) Loss 1.3364 (1.3682) Prec@1 71.094 (68.232) Prec@5 85.938 (86.793) Epoch: [74][5830/10010] Time 0.336 (0.328) Data 0.000 (0.001) Loss 1.0996 (1.3681) Prec@1 69.531 (68.233) Prec@5 89.062 (86.795) Epoch: [74][5840/10010] Time 0.338 (0.328) Data 0.000 (0.001) Loss 1.4252 (1.3681) Prec@1 64.062 (68.233) Prec@5 84.375 (86.794) Epoch: [74][5850/10010] Time 0.318 (0.328) Data 0.001 (0.001) Loss 1.4224 (1.3682) Prec@1 66.406 (68.231) Prec@5 82.812 (86.790) Epoch: [74][5860/10010] Time 0.337 (0.328) Data 0.001 (0.001) Loss 1.1510 (1.3681) Prec@1 69.531 (68.230) Prec@5 92.969 (86.794) Epoch: [74][5870/10010] Time 0.326 (0.328) Data 0.001 (0.001) Loss 1.6484 (1.3681) Prec@1 64.062 (68.230) Prec@5 83.594 (86.794) Epoch: [74][5880/10010] Time 0.321 (0.328) Data 0.001 (0.001) Loss 1.4997 (1.3682) Prec@1 63.281 (68.229) Prec@5 84.375 (86.792) Epoch: [74][5890/10010] Time 0.323 (0.328) Data 0.000 (0.001) Loss 1.3481 (1.3682) Prec@1 68.750 (68.231) Prec@5 87.500 (86.792) Epoch: [74][5900/10010] Time 0.321 (0.328) Data 0.001 (0.001) Loss 1.6201 (1.3681) Prec@1 61.719 (68.233) Prec@5 84.375 (86.793) Epoch: [74][5910/10010] Time 0.340 (0.328) Data 0.001 (0.001) Loss 1.3064 (1.3682) Prec@1 71.094 (68.231) Prec@5 86.719 (86.792) Epoch: [74][5920/10010] Time 0.315 (0.328) Data 0.000 (0.001) Loss 1.4978 (1.3683) Prec@1 69.531 (68.230) Prec@5 87.500 (86.793) Epoch: [74][5930/10010] Time 0.334 (0.328) Data 0.001 (0.001) Loss 1.6523 (1.3683) Prec@1 61.719 (68.229) Prec@5 82.031 (86.792) Epoch: [74][5940/10010] Time 0.323 (0.328) Data 0.000 (0.001) Loss 1.5051 (1.3686) Prec@1 67.188 (68.224) Prec@5 84.375 (86.788) Epoch: [74][5950/10010] Time 0.322 (0.328) Data 0.000 (0.001) Loss 1.5805 (1.3686) Prec@1 64.844 (68.223) Prec@5 83.594 (86.787) Epoch: [74][5960/10010] Time 0.311 (0.328) Data 0.001 (0.001) Loss 1.3140 (1.3687) Prec@1 68.750 (68.223) Prec@5 86.719 (86.786) Epoch: [74][5970/10010] Time 0.311 (0.328) Data 0.001 (0.001) Loss 1.6011 (1.3689) Prec@1 60.938 (68.218) Prec@5 84.375 (86.783) Epoch: [74][5980/10010] Time 0.322 (0.328) Data 0.001 (0.001) Loss 1.3690 (1.3688) Prec@1 72.656 (68.217) Prec@5 85.938 (86.784) Epoch: [74][5990/10010] Time 0.321 (0.328) Data 0.001 (0.001) Loss 1.2159 (1.3688) Prec@1 74.219 (68.219) Prec@5 89.062 (86.783) Epoch: [74][6000/10010] Time 0.335 (0.328) Data 0.001 (0.001) Loss 1.2844 (1.3688) Prec@1 67.188 (68.219) Prec@5 89.844 (86.784) Epoch: [74][6010/10010] Time 0.338 (0.328) Data 0.001 (0.001) Loss 1.3491 (1.3688) Prec@1 71.094 (68.220) Prec@5 86.719 (86.784) Epoch: [74][6020/10010] Time 0.324 (0.328) Data 0.000 (0.001) Loss 1.5065 (1.3687) Prec@1 65.625 (68.221) Prec@5 83.594 (86.784) Epoch: [74][6030/10010] Time 0.321 (0.328) Data 0.001 (0.001) Loss 1.5636 (1.3686) Prec@1 67.969 (68.222) Prec@5 84.375 (86.785) Epoch: [74][6040/10010] Time 0.313 (0.328) Data 0.001 (0.001) Loss 1.3329 (1.3687) Prec@1 66.406 (68.221) Prec@5 91.406 (86.783) Epoch: [74][6050/10010] Time 0.330 (0.328) Data 0.001 (0.001) Loss 1.4109 (1.3688) Prec@1 67.188 (68.220) Prec@5 84.375 (86.782) Epoch: [74][6060/10010] Time 0.315 (0.328) Data 0.001 (0.001) Loss 1.5446 (1.3688) Prec@1 64.062 (68.219) Prec@5 81.250 (86.783) Epoch: [74][6070/10010] Time 0.328 (0.328) Data 0.001 (0.001) Loss 1.6677 (1.3690) Prec@1 63.281 (68.215) Prec@5 83.594 (86.779) Epoch: [74][6080/10010] Time 0.323 (0.328) Data 0.000 (0.001) Loss 1.5916 (1.3691) Prec@1 61.719 (68.212) Prec@5 85.156 (86.777) Epoch: [74][6090/10010] Time 0.327 (0.328) Data 0.000 (0.001) Loss 1.4427 (1.3691) Prec@1 66.406 (68.213) Prec@5 85.938 (86.776) Epoch: [74][6100/10010] Time 0.338 (0.328) Data 0.001 (0.001) Loss 1.3627 (1.3693) Prec@1 72.656 (68.207) Prec@5 86.719 (86.773) Epoch: [74][6110/10010] Time 0.332 (0.328) Data 0.001 (0.001) Loss 1.0899 (1.3692) Prec@1 75.000 (68.209) Prec@5 90.625 (86.773) Epoch: [74][6120/10010] Time 0.330 (0.328) Data 0.001 (0.001) Loss 1.3597 (1.3693) Prec@1 63.281 (68.208) Prec@5 85.938 (86.772) Epoch: [74][6130/10010] Time 0.323 (0.328) Data 0.000 (0.001) Loss 1.4723 (1.3692) Prec@1 67.188 (68.207) Prec@5 85.938 (86.774) Epoch: [74][6140/10010] Time 0.328 (0.328) Data 0.001 (0.001) Loss 1.3092 (1.3692) Prec@1 74.219 (68.209) Prec@5 89.062 (86.774) Epoch: [74][6150/10010] Time 0.325 (0.328) Data 0.001 (0.001) Loss 1.4954 (1.3693) Prec@1 65.625 (68.208) Prec@5 85.156 (86.773) Epoch: [74][6160/10010] Time 0.336 (0.328) Data 0.000 (0.001) Loss 1.5368 (1.3693) Prec@1 64.062 (68.209) Prec@5 83.594 (86.773) Epoch: [74][6170/10010] Time 0.318 (0.328) Data 0.000 (0.001) Loss 1.5584 (1.3694) Prec@1 64.062 (68.208) Prec@5 86.719 (86.772) Epoch: [74][6180/10010] Time 0.342 (0.328) Data 0.000 (0.001) Loss 1.4164 (1.3694) Prec@1 67.188 (68.205) Prec@5 86.719 (86.772) Epoch: [74][6190/10010] Time 0.318 (0.328) Data 0.001 (0.001) Loss 1.3961 (1.3694) Prec@1 67.188 (68.206) Prec@5 84.375 (86.770) Epoch: [74][6200/10010] Time 0.316 (0.328) Data 0.001 (0.001) Loss 1.3721 (1.3694) Prec@1 66.406 (68.207) Prec@5 85.938 (86.770) Epoch: [74][6210/10010] Time 0.332 (0.328) Data 0.001 (0.001) Loss 1.7013 (1.3695) Prec@1 58.594 (68.204) Prec@5 78.906 (86.766) Epoch: [74][6220/10010] Time 0.327 (0.328) Data 0.001 (0.001) Loss 1.4229 (1.3695) Prec@1 69.531 (68.202) Prec@5 86.719 (86.765) Epoch: [74][6230/10010] Time 0.342 (0.328) Data 0.000 (0.001) Loss 1.3476 (1.3696) Prec@1 70.312 (68.204) Prec@5 85.938 (86.764) Epoch: [74][6240/10010] Time 0.332 (0.328) Data 0.001 (0.001) Loss 1.3049 (1.3696) Prec@1 67.188 (68.204) Prec@5 92.188 (86.764) Epoch: [74][6250/10010] Time 0.320 (0.328) Data 0.001 (0.001) Loss 1.2828 (1.3695) Prec@1 72.656 (68.205) Prec@5 86.719 (86.765) Epoch: [74][6260/10010] Time 0.328 (0.328) Data 0.001 (0.001) Loss 1.6840 (1.3697) Prec@1 56.250 (68.202) Prec@5 83.594 (86.763) Epoch: [74][6270/10010] Time 0.333 (0.328) Data 0.000 (0.001) Loss 1.4275 (1.3696) Prec@1 66.406 (68.204) Prec@5 83.594 (86.763) Epoch: [74][6280/10010] Time 0.338 (0.328) Data 0.001 (0.001) Loss 1.2499 (1.3696) Prec@1 71.094 (68.205) Prec@5 88.281 (86.763) Epoch: [74][6290/10010] Time 0.333 (0.328) Data 0.001 (0.001) Loss 1.5076 (1.3697) Prec@1 65.625 (68.205) Prec@5 87.500 (86.763) Epoch: [74][6300/10010] Time 0.312 (0.328) Data 0.001 (0.001) Loss 0.9127 (1.3696) Prec@1 78.125 (68.208) Prec@5 91.406 (86.763) Epoch: [74][6310/10010] Time 0.318 (0.328) Data 0.000 (0.001) Loss 1.2683 (1.3696) Prec@1 66.406 (68.208) Prec@5 90.625 (86.762) Epoch: [74][6320/10010] Time 0.329 (0.328) Data 0.001 (0.001) Loss 1.3386 (1.3696) Prec@1 64.844 (68.209) Prec@5 86.719 (86.763) Epoch: [74][6330/10010] Time 0.318 (0.328) Data 0.001 (0.001) Loss 1.6516 (1.3696) Prec@1 60.156 (68.208) Prec@5 82.031 (86.762) Epoch: [74][6340/10010] Time 0.330 (0.328) Data 0.001 (0.001) Loss 1.3446 (1.3696) Prec@1 68.750 (68.206) Prec@5 86.719 (86.763) Epoch: [74][6350/10010] Time 0.322 (0.328) Data 0.000 (0.001) Loss 1.6267 (1.3695) Prec@1 64.844 (68.207) Prec@5 82.812 (86.764) Epoch: [74][6360/10010] Time 0.322 (0.328) Data 0.001 (0.001) Loss 1.2801 (1.3695) Prec@1 71.094 (68.208) Prec@5 88.281 (86.764) Epoch: [74][6370/10010] Time 0.320 (0.328) Data 0.001 (0.001) Loss 1.4387 (1.3696) Prec@1 67.188 (68.206) Prec@5 86.719 (86.763) Epoch: [74][6380/10010] Time 0.317 (0.328) Data 0.001 (0.001) Loss 1.2058 (1.3697) Prec@1 70.312 (68.204) Prec@5 87.500 (86.762) Epoch: [74][6390/10010] Time 0.332 (0.328) Data 0.001 (0.001) Loss 1.5003 (1.3699) Prec@1 64.844 (68.200) Prec@5 85.938 (86.758) Epoch: [74][6400/10010] Time 0.326 (0.328) Data 0.001 (0.001) Loss 1.3009 (1.3699) Prec@1 70.312 (68.203) Prec@5 88.281 (86.758) Epoch: [74][6410/10010] Time 0.314 (0.328) Data 0.001 (0.001) Loss 1.1345 (1.3699) Prec@1 75.000 (68.205) Prec@5 89.062 (86.756) Epoch: [74][6420/10010] Time 0.318 (0.328) Data 0.001 (0.001) Loss 1.7692 (1.3699) Prec@1 63.281 (68.206) Prec@5 81.250 (86.754) Epoch: [74][6430/10010] Time 0.319 (0.328) Data 0.001 (0.001) Loss 1.4181 (1.3699) Prec@1 68.750 (68.207) Prec@5 87.500 (86.755) Epoch: [74][6440/10010] Time 0.316 (0.328) Data 0.001 (0.001) Loss 1.5554 (1.3699) Prec@1 70.312 (68.206) Prec@5 80.469 (86.754) Epoch: [74][6450/10010] Time 0.317 (0.328) Data 0.000 (0.001) Loss 1.2938 (1.3699) Prec@1 75.000 (68.205) Prec@5 87.500 (86.755) Epoch: [74][6460/10010] Time 0.330 (0.328) Data 0.001 (0.001) Loss 1.5362 (1.3700) Prec@1 65.625 (68.203) Prec@5 85.156 (86.753) Epoch: [74][6470/10010] Time 0.335 (0.328) Data 0.001 (0.001) Loss 1.0106 (1.3700) Prec@1 76.562 (68.202) Prec@5 90.625 (86.754) Epoch: [74][6480/10010] Time 0.330 (0.328) Data 0.001 (0.001) Loss 1.4754 (1.3700) Prec@1 71.094 (68.205) Prec@5 86.719 (86.755) Epoch: [74][6490/10010] Time 0.338 (0.328) Data 0.001 (0.001) Loss 1.3415 (1.3700) Prec@1 67.969 (68.205) Prec@5 86.719 (86.756) Epoch: [74][6500/10010] Time 0.330 (0.328) Data 0.001 (0.001) Loss 1.5972 (1.3699) Prec@1 62.500 (68.205) Prec@5 85.156 (86.756) Epoch: [74][6510/10010] Time 0.332 (0.328) Data 0.000 (0.001) Loss 1.2414 (1.3699) Prec@1 69.531 (68.205) Prec@5 89.062 (86.757) Epoch: [74][6520/10010] Time 0.338 (0.328) Data 0.001 (0.001) Loss 1.5609 (1.3699) Prec@1 65.625 (68.206) Prec@5 84.375 (86.758) Epoch: [74][6530/10010] Time 0.309 (0.328) Data 0.001 (0.001) Loss 1.7137 (1.3699) Prec@1 63.281 (68.204) Prec@5 81.250 (86.758) Epoch: [74][6540/10010] Time 0.329 (0.328) Data 0.001 (0.001) Loss 1.2532 (1.3698) Prec@1 70.312 (68.206) Prec@5 88.281 (86.760) Epoch: [74][6550/10010] Time 0.333 (0.328) Data 0.000 (0.001) Loss 1.3837 (1.3696) Prec@1 65.625 (68.209) Prec@5 84.375 (86.761) Epoch: [74][6560/10010] Time 0.330 (0.328) Data 0.000 (0.001) Loss 1.7563 (1.3697) Prec@1 60.938 (68.208) Prec@5 82.812 (86.761) Epoch: [74][6570/10010] Time 0.324 (0.328) Data 0.001 (0.001) Loss 1.2129 (1.3697) Prec@1 67.969 (68.205) Prec@5 90.625 (86.762) Epoch: [74][6580/10010] Time 0.320 (0.328) Data 0.001 (0.001) Loss 1.4295 (1.3696) Prec@1 66.406 (68.206) Prec@5 87.500 (86.764) Epoch: [74][6590/10010] Time 0.328 (0.328) Data 0.001 (0.001) Loss 1.1818 (1.3695) Prec@1 75.000 (68.207) Prec@5 86.719 (86.765) Epoch: [74][6600/10010] Time 0.309 (0.328) Data 0.001 (0.001) Loss 1.5270 (1.3694) Prec@1 70.312 (68.210) Prec@5 85.938 (86.766) Epoch: [74][6610/10010] Time 0.314 (0.328) Data 0.001 (0.001) Loss 1.3390 (1.3694) Prec@1 67.969 (68.210) Prec@5 88.281 (86.767) Epoch: [74][6620/10010] Time 0.331 (0.328) Data 0.001 (0.001) Loss 1.1779 (1.3693) Prec@1 72.656 (68.209) Prec@5 88.281 (86.766) Epoch: [74][6630/10010] Time 0.321 (0.328) Data 0.001 (0.001) Loss 1.1984 (1.3693) Prec@1 71.875 (68.210) Prec@5 86.719 (86.766) Epoch: [74][6640/10010] Time 0.318 (0.328) Data 0.001 (0.001) Loss 1.4929 (1.3695) Prec@1 62.500 (68.207) Prec@5 82.031 (86.764) Epoch: [74][6650/10010] Time 0.321 (0.328) Data 0.001 (0.001) Loss 1.2885 (1.3693) Prec@1 74.219 (68.212) Prec@5 86.719 (86.765) Epoch: [74][6660/10010] Time 0.324 (0.328) Data 0.000 (0.001) Loss 1.2529 (1.3694) Prec@1 71.875 (68.210) Prec@5 90.625 (86.763) Epoch: [74][6670/10010] Time 0.339 (0.328) Data 0.001 (0.001) Loss 1.4851 (1.3694) Prec@1 64.844 (68.212) Prec@5 85.938 (86.763) Epoch: [74][6680/10010] Time 0.338 (0.328) Data 0.001 (0.001) Loss 1.2481 (1.3694) Prec@1 69.531 (68.212) Prec@5 90.625 (86.764) Epoch: [74][6690/10010] Time 0.325 (0.328) Data 0.001 (0.001) Loss 1.5704 (1.3694) Prec@1 64.062 (68.212) Prec@5 82.031 (86.764) Epoch: [74][6700/10010] Time 0.313 (0.328) Data 0.001 (0.001) Loss 1.5700 (1.3695) Prec@1 63.281 (68.212) Prec@5 84.375 (86.762) Epoch: [74][6710/10010] Time 0.327 (0.328) Data 0.000 (0.001) Loss 1.2475 (1.3694) Prec@1 68.750 (68.214) Prec@5 88.281 (86.762) Epoch: [74][6720/10010] Time 0.336 (0.328) Data 0.001 (0.001) Loss 1.4945 (1.3694) Prec@1 68.750 (68.213) Prec@5 86.719 (86.762) Epoch: [74][6730/10010] Time 0.320 (0.328) Data 0.001 (0.001) Loss 1.4419 (1.3693) Prec@1 68.750 (68.213) Prec@5 84.375 (86.763) Epoch: [74][6740/10010] Time 0.330 (0.328) Data 0.000 (0.001) Loss 1.4482 (1.3695) Prec@1 64.844 (68.211) Prec@5 84.375 (86.760) Epoch: [74][6750/10010] Time 0.322 (0.328) Data 0.001 (0.001) Loss 1.3859 (1.3694) Prec@1 68.750 (68.212) Prec@5 86.719 (86.760) Epoch: [74][6760/10010] Time 0.314 (0.328) Data 0.001 (0.001) Loss 1.3520 (1.3696) Prec@1 65.625 (68.210) Prec@5 90.625 (86.758) Epoch: [74][6770/10010] Time 0.322 (0.328) Data 0.001 (0.001) Loss 1.5357 (1.3697) Prec@1 62.500 (68.207) Prec@5 84.375 (86.756) Epoch: [74][6780/10010] Time 0.328 (0.328) Data 0.001 (0.001) Loss 1.3451 (1.3697) Prec@1 73.438 (68.209) Prec@5 84.375 (86.755) Epoch: [74][6790/10010] Time 0.311 (0.328) Data 0.001 (0.001) Loss 1.3995 (1.3698) Prec@1 69.531 (68.208) Prec@5 84.375 (86.754) Epoch: [74][6800/10010] Time 0.321 (0.327) Data 0.001 (0.001) Loss 1.4143 (1.3697) Prec@1 64.844 (68.209) Prec@5 85.156 (86.756) Epoch: [74][6810/10010] Time 0.320 (0.327) Data 0.001 (0.001) Loss 1.6059 (1.3698) Prec@1 67.188 (68.207) Prec@5 83.594 (86.757) Epoch: [74][6820/10010] Time 0.316 (0.327) Data 0.001 (0.001) Loss 1.5044 (1.3698) Prec@1 63.281 (68.207) Prec@5 83.594 (86.756) Epoch: [74][6830/10010] Time 0.321 (0.327) Data 0.001 (0.001) Loss 1.6809 (1.3698) Prec@1 65.625 (68.207) Prec@5 82.812 (86.753) Epoch: [74][6840/10010] Time 0.323 (0.327) Data 0.001 (0.001) Loss 1.4515 (1.3699) Prec@1 68.750 (68.206) Prec@5 88.281 (86.753) Epoch: [74][6850/10010] Time 0.337 (0.327) Data 0.001 (0.001) Loss 1.6604 (1.3700) Prec@1 60.938 (68.204) Prec@5 83.594 (86.751) Epoch: [74][6860/10010] Time 0.322 (0.327) Data 0.001 (0.001) Loss 1.3893 (1.3700) Prec@1 64.062 (68.203) Prec@5 85.938 (86.752) Epoch: [74][6870/10010] Time 0.312 (0.327) Data 0.001 (0.001) Loss 1.5167 (1.3700) Prec@1 64.844 (68.200) Prec@5 85.938 (86.750) Epoch: [74][6880/10010] Time 0.329 (0.327) Data 0.001 (0.001) Loss 1.3158 (1.3701) Prec@1 74.219 (68.200) Prec@5 85.938 (86.748) Epoch: [74][6890/10010] Time 0.327 (0.327) Data 0.001 (0.001) Loss 1.5301 (1.3701) Prec@1 64.844 (68.198) Prec@5 82.031 (86.749) Epoch: [74][6900/10010] Time 0.323 (0.327) Data 0.001 (0.001) Loss 1.2245 (1.3700) Prec@1 74.219 (68.201) Prec@5 89.844 (86.751) Epoch: [74][6910/10010] Time 0.316 (0.327) Data 0.001 (0.001) Loss 1.3905 (1.3700) Prec@1 69.531 (68.200) Prec@5 90.625 (86.751) Epoch: [74][6920/10010] Time 0.320 (0.327) Data 0.001 (0.001) Loss 1.2232 (1.3700) Prec@1 76.562 (68.204) Prec@5 91.406 (86.751) Epoch: [74][6930/10010] Time 0.319 (0.327) Data 0.001 (0.001) Loss 1.4095 (1.3699) Prec@1 71.094 (68.205) Prec@5 84.375 (86.750) Epoch: [74][6940/10010] Time 0.315 (0.327) Data 0.000 (0.001) Loss 1.4588 (1.3701) Prec@1 70.312 (68.202) Prec@5 87.500 (86.750) Epoch: [74][6950/10010] Time 0.336 (0.327) Data 0.001 (0.001) Loss 1.2063 (1.3700) Prec@1 73.438 (68.201) Prec@5 89.844 (86.751) Epoch: [74][6960/10010] Time 0.331 (0.327) Data 0.001 (0.001) Loss 1.1024 (1.3700) Prec@1 71.875 (68.202) Prec@5 89.844 (86.752) Epoch: [74][6970/10010] Time 0.324 (0.327) Data 0.001 (0.001) Loss 1.5638 (1.3700) Prec@1 64.844 (68.202) Prec@5 82.812 (86.752) Epoch: [74][6980/10010] Time 0.312 (0.327) Data 0.001 (0.001) Loss 1.1498 (1.3699) Prec@1 71.875 (68.204) Prec@5 88.281 (86.753) Epoch: [74][6990/10010] Time 0.333 (0.327) Data 0.001 (0.001) Loss 1.3566 (1.3699) Prec@1 71.875 (68.204) Prec@5 84.375 (86.752) Epoch: [74][7000/10010] Time 0.319 (0.327) Data 0.001 (0.001) Loss 1.5085 (1.3699) Prec@1 62.500 (68.205) Prec@5 80.469 (86.753) Epoch: [74][7010/10010] Time 0.319 (0.327) Data 0.001 (0.001) Loss 1.4217 (1.3699) Prec@1 66.406 (68.203) Prec@5 90.625 (86.752) Epoch: [74][7020/10010] Time 0.332 (0.327) Data 0.001 (0.001) Loss 1.4556 (1.3700) Prec@1 65.625 (68.201) Prec@5 85.156 (86.750) Epoch: [74][7030/10010] Time 0.316 (0.327) Data 0.001 (0.001) Loss 1.3883 (1.3700) Prec@1 70.312 (68.204) Prec@5 88.281 (86.749) Epoch: [74][7040/10010] Time 0.337 (0.327) Data 0.001 (0.001) Loss 1.1986 (1.3700) Prec@1 71.094 (68.204) Prec@5 89.062 (86.750) Epoch: [74][7050/10010] Time 0.322 (0.327) Data 0.001 (0.001) Loss 1.4381 (1.3701) Prec@1 65.625 (68.204) Prec@5 83.594 (86.748) Epoch: [74][7060/10010] Time 0.335 (0.327) Data 0.000 (0.001) Loss 1.3970 (1.3701) Prec@1 61.719 (68.205) Prec@5 85.156 (86.748) Epoch: [74][7070/10010] Time 0.327 (0.327) Data 0.001 (0.001) Loss 1.2151 (1.3700) Prec@1 69.531 (68.204) Prec@5 89.844 (86.750) Epoch: [74][7080/10010] Time 0.324 (0.327) Data 0.001 (0.001) Loss 1.3231 (1.3700) Prec@1 71.094 (68.203) Prec@5 85.938 (86.749) Epoch: [74][7090/10010] Time 0.326 (0.327) Data 0.001 (0.001) Loss 1.4642 (1.3701) Prec@1 66.406 (68.203) Prec@5 84.375 (86.748) Epoch: [74][7100/10010] Time 0.313 (0.327) Data 0.000 (0.001) Loss 1.5598 (1.3701) Prec@1 67.969 (68.203) Prec@5 85.156 (86.749) Epoch: [74][7110/10010] Time 0.326 (0.327) Data 0.001 (0.001) Loss 1.4658 (1.3701) Prec@1 62.500 (68.202) Prec@5 85.938 (86.748) Epoch: [74][7120/10010] Time 0.329 (0.327) Data 0.001 (0.001) Loss 1.9300 (1.3703) Prec@1 54.688 (68.201) Prec@5 79.688 (86.747) Epoch: [74][7130/10010] Time 0.327 (0.327) Data 0.000 (0.001) Loss 1.4149 (1.3702) Prec@1 69.531 (68.202) Prec@5 88.281 (86.748) Epoch: [74][7140/10010] Time 0.318 (0.327) Data 0.001 (0.001) Loss 1.3003 (1.3702) Prec@1 68.750 (68.203) Prec@5 89.062 (86.748) Epoch: [74][7150/10010] Time 0.325 (0.327) Data 0.001 (0.001) Loss 1.4863 (1.3702) Prec@1 63.281 (68.202) Prec@5 87.500 (86.749) Epoch: [74][7160/10010] Time 0.338 (0.327) Data 0.001 (0.001) Loss 1.3161 (1.3702) Prec@1 65.625 (68.202) Prec@5 86.719 (86.748) Epoch: [74][7170/10010] Time 0.342 (0.327) Data 0.001 (0.001) Loss 1.3496 (1.3701) Prec@1 69.531 (68.204) Prec@5 85.938 (86.749) Epoch: [74][7180/10010] Time 0.316 (0.327) Data 0.001 (0.001) Loss 1.3542 (1.3701) Prec@1 66.406 (68.203) Prec@5 86.719 (86.749) Epoch: [74][7190/10010] Time 0.340 (0.327) Data 0.001 (0.001) Loss 1.3029 (1.3702) Prec@1 70.312 (68.203) Prec@5 85.938 (86.749) Epoch: [74][7200/10010] Time 0.319 (0.327) Data 0.001 (0.001) Loss 1.2941 (1.3703) Prec@1 67.969 (68.201) Prec@5 91.406 (86.748) Epoch: [74][7210/10010] Time 0.326 (0.327) Data 0.001 (0.001) Loss 1.5871 (1.3702) Prec@1 64.062 (68.203) Prec@5 83.594 (86.749) Epoch: [74][7220/10010] Time 0.341 (0.327) Data 0.000 (0.001) Loss 1.5806 (1.3702) Prec@1 64.844 (68.203) Prec@5 82.812 (86.749) Epoch: [74][7230/10010] Time 0.317 (0.327) Data 0.000 (0.001) Loss 1.3479 (1.3703) Prec@1 65.625 (68.202) Prec@5 88.281 (86.749) Epoch: [74][7240/10010] Time 0.319 (0.327) Data 0.001 (0.001) Loss 1.2927 (1.3702) Prec@1 66.406 (68.202) Prec@5 89.844 (86.750) Epoch: [74][7250/10010] Time 0.334 (0.327) Data 0.000 (0.001) Loss 1.5461 (1.3701) Prec@1 62.500 (68.202) Prec@5 84.375 (86.752) Epoch: [74][7260/10010] Time 0.333 (0.327) Data 0.001 (0.001) Loss 1.2669 (1.3702) Prec@1 74.219 (68.200) Prec@5 89.844 (86.752) Epoch: [74][7270/10010] Time 0.327 (0.327) Data 0.001 (0.001) Loss 1.4307 (1.3701) Prec@1 64.844 (68.199) Prec@5 87.500 (86.753) Epoch: [74][7280/10010] Time 0.343 (0.327) Data 0.000 (0.001) Loss 1.0754 (1.3702) Prec@1 75.781 (68.198) Prec@5 89.844 (86.751) Epoch: [74][7290/10010] Time 0.320 (0.327) Data 0.001 (0.001) Loss 1.7155 (1.3702) Prec@1 59.375 (68.196) Prec@5 82.031 (86.750) Epoch: [74][7300/10010] Time 0.320 (0.327) Data 0.001 (0.001) Loss 1.4241 (1.3702) Prec@1 66.406 (68.195) Prec@5 85.938 (86.750) Epoch: [74][7310/10010] Time 0.337 (0.327) Data 0.001 (0.001) Loss 1.1871 (1.3702) Prec@1 71.875 (68.193) Prec@5 91.406 (86.751) Epoch: [74][7320/10010] Time 0.316 (0.327) Data 0.001 (0.001) Loss 1.3148 (1.3702) Prec@1 69.531 (68.193) Prec@5 87.500 (86.752) Epoch: [74][7330/10010] Time 0.327 (0.327) Data 0.001 (0.001) Loss 1.0674 (1.3701) Prec@1 74.219 (68.194) Prec@5 90.625 (86.753) Epoch: [74][7340/10010] Time 0.336 (0.327) Data 0.001 (0.001) Loss 1.2470 (1.3700) Prec@1 71.094 (68.195) Prec@5 90.625 (86.754) Epoch: [74][7350/10010] Time 0.330 (0.327) Data 0.000 (0.001) Loss 1.2481 (1.3700) Prec@1 71.094 (68.193) Prec@5 89.844 (86.754) Epoch: [74][7360/10010] Time 0.321 (0.327) Data 0.001 (0.001) Loss 0.9527 (1.3700) Prec@1 77.344 (68.195) Prec@5 93.750 (86.755) Epoch: [74][7370/10010] Time 0.320 (0.327) Data 0.001 (0.001) Loss 1.5032 (1.3701) Prec@1 64.062 (68.191) Prec@5 85.156 (86.754) Epoch: [74][7380/10010] Time 0.319 (0.327) Data 0.001 (0.001) Loss 1.4883 (1.3700) Prec@1 67.188 (68.192) Prec@5 84.375 (86.757) Epoch: [74][7390/10010] Time 0.331 (0.327) Data 0.001 (0.001) Loss 1.2777 (1.3700) Prec@1 65.625 (68.191) Prec@5 88.281 (86.758) Epoch: [74][7400/10010] Time 0.317 (0.327) Data 0.001 (0.001) Loss 1.4287 (1.3699) Prec@1 63.281 (68.190) Prec@5 83.594 (86.759) Epoch: [74][7410/10010] Time 0.318 (0.327) Data 0.001 (0.001) Loss 1.3999 (1.3698) Prec@1 66.406 (68.194) Prec@5 85.938 (86.760) Epoch: [74][7420/10010] Time 0.321 (0.327) Data 0.001 (0.001) Loss 1.3140 (1.3698) Prec@1 65.625 (68.193) Prec@5 87.500 (86.759) Epoch: [74][7430/10010] Time 0.326 (0.327) Data 0.001 (0.001) Loss 1.2245 (1.3698) Prec@1 74.219 (68.193) Prec@5 85.938 (86.759) Epoch: [74][7440/10010] Time 0.342 (0.327) Data 0.000 (0.001) Loss 1.4582 (1.3698) Prec@1 65.625 (68.193) Prec@5 89.062 (86.759) Epoch: [74][7450/10010] Time 0.337 (0.327) Data 0.001 (0.001) Loss 1.5885 (1.3698) Prec@1 66.406 (68.195) Prec@5 85.156 (86.760) Epoch: [74][7460/10010] Time 0.323 (0.327) Data 0.001 (0.001) Loss 1.2508 (1.3697) Prec@1 70.312 (68.195) Prec@5 87.500 (86.761) Epoch: [74][7470/10010] Time 0.334 (0.327) Data 0.001 (0.001) Loss 1.6831 (1.3698) Prec@1 64.844 (68.192) Prec@5 82.031 (86.760) Epoch: [74][7480/10010] Time 0.320 (0.327) Data 0.000 (0.001) Loss 1.1869 (1.3698) Prec@1 69.531 (68.192) Prec@5 88.281 (86.759) Epoch: [74][7490/10010] Time 0.340 (0.327) Data 0.001 (0.001) Loss 1.6164 (1.3698) Prec@1 60.156 (68.192) Prec@5 85.156 (86.758) Epoch: [74][7500/10010] Time 0.320 (0.327) Data 0.001 (0.001) Loss 1.3407 (1.3698) Prec@1 71.875 (68.192) Prec@5 85.156 (86.758) Epoch: [74][7510/10010] Time 0.329 (0.327) Data 0.001 (0.001) Loss 1.6294 (1.3699) Prec@1 63.281 (68.191) Prec@5 80.469 (86.757) Epoch: [74][7520/10010] Time 0.329 (0.327) Data 0.000 (0.001) Loss 1.4149 (1.3698) Prec@1 61.719 (68.192) Prec@5 88.281 (86.757) Epoch: [74][7530/10010] Time 0.314 (0.327) Data 0.000 (0.001) Loss 1.2040 (1.3698) Prec@1 72.656 (68.193) Prec@5 92.188 (86.758) Epoch: [74][7540/10010] Time 0.340 (0.327) Data 0.001 (0.001) Loss 1.4196 (1.3697) Prec@1 64.062 (68.194) Prec@5 88.281 (86.758) Epoch: [74][7550/10010] Time 0.316 (0.327) Data 0.001 (0.001) Loss 1.3077 (1.3696) Prec@1 64.844 (68.197) Prec@5 85.156 (86.758) Epoch: [74][7560/10010] Time 0.343 (0.327) Data 0.000 (0.001) Loss 1.1710 (1.3696) Prec@1 71.875 (68.196) Prec@5 89.844 (86.760) Epoch: [74][7570/10010] Time 0.320 (0.327) Data 0.001 (0.001) Loss 1.4405 (1.3696) Prec@1 62.500 (68.195) Prec@5 84.375 (86.760) Epoch: [74][7580/10010] Time 0.319 (0.327) Data 0.000 (0.001) Loss 1.4178 (1.3697) Prec@1 63.281 (68.191) Prec@5 84.375 (86.758) Epoch: [74][7590/10010] Time 0.330 (0.327) Data 0.000 (0.001) Loss 1.2354 (1.3698) Prec@1 67.188 (68.192) Prec@5 91.406 (86.756) Epoch: [74][7600/10010] Time 0.315 (0.327) Data 0.001 (0.001) Loss 1.4292 (1.3697) Prec@1 66.406 (68.192) Prec@5 87.500 (86.758) Epoch: [74][7610/10010] Time 0.332 (0.327) Data 0.000 (0.001) Loss 1.1160 (1.3696) Prec@1 70.312 (68.192) Prec@5 89.062 (86.758) Epoch: [74][7620/10010] Time 0.338 (0.327) Data 0.001 (0.001) Loss 1.3368 (1.3696) Prec@1 68.750 (68.192) Prec@5 86.719 (86.759) Epoch: [74][7630/10010] Time 0.322 (0.327) Data 0.000 (0.001) Loss 1.4008 (1.3696) Prec@1 65.625 (68.191) Prec@5 84.375 (86.758) Epoch: [74][7640/10010] Time 0.334 (0.327) Data 0.001 (0.001) Loss 1.5656 (1.3696) Prec@1 62.500 (68.193) Prec@5 81.250 (86.760) Epoch: [74][7650/10010] Time 0.320 (0.327) Data 0.000 (0.001) Loss 1.4904 (1.3696) Prec@1 65.625 (68.194) Prec@5 85.938 (86.758) Epoch: [74][7660/10010] Time 0.313 (0.327) Data 0.001 (0.001) Loss 1.7891 (1.3695) Prec@1 60.156 (68.197) Prec@5 82.031 (86.761) Epoch: [74][7670/10010] Time 0.317 (0.327) Data 0.000 (0.001) Loss 1.4460 (1.3695) Prec@1 64.844 (68.198) Prec@5 82.031 (86.759) Epoch: [74][7680/10010] Time 0.339 (0.327) Data 0.001 (0.001) Loss 1.2316 (1.3695) Prec@1 70.312 (68.198) Prec@5 88.281 (86.760) Epoch: [74][7690/10010] Time 0.341 (0.327) Data 0.001 (0.001) Loss 1.4862 (1.3696) Prec@1 65.625 (68.198) Prec@5 85.938 (86.759) Epoch: [74][7700/10010] Time 0.337 (0.327) Data 0.001 (0.001) Loss 1.1691 (1.3695) Prec@1 70.312 (68.199) Prec@5 89.062 (86.760) Epoch: [74][7710/10010] Time 0.334 (0.327) Data 0.000 (0.001) Loss 1.5728 (1.3695) Prec@1 57.031 (68.196) Prec@5 84.375 (86.759) Epoch: [74][7720/10010] Time 0.324 (0.327) Data 0.001 (0.001) Loss 1.2073 (1.3695) Prec@1 69.531 (68.198) Prec@5 87.500 (86.759) Epoch: [74][7730/10010] Time 0.328 (0.327) Data 0.001 (0.001) Loss 1.4863 (1.3696) Prec@1 67.188 (68.195) Prec@5 86.719 (86.759) Epoch: [74][7740/10010] Time 0.313 (0.327) Data 0.001 (0.001) Loss 1.3683 (1.3695) Prec@1 65.625 (68.195) Prec@5 87.500 (86.758) Epoch: [74][7750/10010] Time 0.319 (0.327) Data 0.001 (0.001) Loss 1.3933 (1.3696) Prec@1 71.094 (68.194) Prec@5 85.938 (86.758) Epoch: [74][7760/10010] Time 0.340 (0.327) Data 0.001 (0.001) Loss 1.6186 (1.3696) Prec@1 66.406 (68.196) Prec@5 85.156 (86.758) Epoch: [74][7770/10010] Time 0.311 (0.327) Data 0.001 (0.001) Loss 1.7826 (1.3696) Prec@1 57.812 (68.195) Prec@5 81.250 (86.757) Epoch: [74][7780/10010] Time 0.329 (0.327) Data 0.001 (0.001) Loss 1.4370 (1.3695) Prec@1 67.188 (68.195) Prec@5 85.156 (86.757) Epoch: [74][7790/10010] Time 0.310 (0.327) Data 0.001 (0.001) Loss 1.3763 (1.3695) Prec@1 64.062 (68.195) Prec@5 85.938 (86.756) Epoch: [74][7800/10010] Time 0.343 (0.327) Data 0.000 (0.001) Loss 1.1746 (1.3695) Prec@1 75.000 (68.196) Prec@5 89.062 (86.756) Epoch: [74][7810/10010] Time 0.313 (0.327) Data 0.000 (0.001) Loss 1.4638 (1.3696) Prec@1 63.281 (68.194) Prec@5 82.812 (86.756) Epoch: [74][7820/10010] Time 0.339 (0.327) Data 0.001 (0.001) Loss 1.3461 (1.3696) Prec@1 67.969 (68.195) Prec@5 89.062 (86.755) Epoch: [74][7830/10010] Time 0.335 (0.327) Data 0.001 (0.001) Loss 1.2073 (1.3695) Prec@1 71.094 (68.196) Prec@5 87.500 (86.756) Epoch: [74][7840/10010] Time 0.338 (0.327) Data 0.000 (0.001) Loss 1.4873 (1.3695) Prec@1 64.844 (68.195) Prec@5 85.938 (86.757) Epoch: [74][7850/10010] Time 0.319 (0.327) Data 0.001 (0.001) Loss 1.4521 (1.3695) Prec@1 70.312 (68.195) Prec@5 84.375 (86.756) Epoch: [74][7860/10010] Time 0.336 (0.327) Data 0.000 (0.001) Loss 1.1984 (1.3693) Prec@1 72.656 (68.200) Prec@5 89.062 (86.759) Epoch: [74][7870/10010] Time 0.317 (0.327) Data 0.001 (0.001) Loss 1.5231 (1.3692) Prec@1 64.062 (68.203) Prec@5 85.938 (86.761) Epoch: [74][7880/10010] Time 0.317 (0.327) Data 0.000 (0.001) Loss 1.4615 (1.3693) Prec@1 64.062 (68.201) Prec@5 86.719 (86.761) Epoch: [74][7890/10010] Time 0.319 (0.327) Data 0.001 (0.001) Loss 1.2511 (1.3693) Prec@1 71.094 (68.200) Prec@5 86.719 (86.761) Epoch: [74][7900/10010] Time 0.322 (0.327) Data 0.001 (0.001) Loss 1.7185 (1.3693) Prec@1 60.156 (68.200) Prec@5 77.344 (86.760) Epoch: [74][7910/10010] Time 0.314 (0.327) Data 0.001 (0.001) Loss 1.3368 (1.3695) Prec@1 71.875 (68.197) Prec@5 85.156 (86.757) Epoch: [74][7920/10010] Time 0.316 (0.327) Data 0.001 (0.001) Loss 1.2774 (1.3694) Prec@1 66.406 (68.197) Prec@5 89.062 (86.758) Epoch: [74][7930/10010] Time 0.325 (0.327) Data 0.000 (0.001) Loss 1.4199 (1.3694) Prec@1 64.844 (68.198) Prec@5 89.844 (86.758) Epoch: [74][7940/10010] Time 0.326 (0.327) Data 0.001 (0.001) Loss 1.3736 (1.3694) Prec@1 63.281 (68.197) Prec@5 91.406 (86.760) Epoch: [74][7950/10010] Time 0.333 (0.327) Data 0.001 (0.001) Loss 1.3210 (1.3694) Prec@1 67.188 (68.196) Prec@5 88.281 (86.760) Epoch: [74][7960/10010] Time 0.325 (0.327) Data 0.000 (0.001) Loss 1.3792 (1.3695) Prec@1 70.312 (68.194) Prec@5 82.031 (86.758) Epoch: [74][7970/10010] Time 0.318 (0.327) Data 0.001 (0.001) Loss 1.7283 (1.3696) Prec@1 57.812 (68.192) Prec@5 82.031 (86.757) Epoch: [74][7980/10010] Time 0.313 (0.327) Data 0.001 (0.001) Loss 1.4781 (1.3696) Prec@1 65.625 (68.191) Prec@5 83.594 (86.756) Epoch: [74][7990/10010] Time 0.319 (0.327) Data 0.001 (0.001) Loss 1.5115 (1.3697) Prec@1 64.062 (68.191) Prec@5 85.156 (86.756) Epoch: [74][8000/10010] Time 0.317 (0.327) Data 0.001 (0.001) Loss 1.6668 (1.3697) Prec@1 62.500 (68.190) Prec@5 83.594 (86.756) Epoch: [74][8010/10010] Time 0.339 (0.327) Data 0.001 (0.001) Loss 1.1451 (1.3697) Prec@1 71.875 (68.190) Prec@5 87.500 (86.755) Epoch: [74][8020/10010] Time 0.331 (0.327) Data 0.000 (0.001) Loss 1.3445 (1.3697) Prec@1 72.656 (68.190) Prec@5 88.281 (86.757) Epoch: [74][8030/10010] Time 0.321 (0.327) Data 0.000 (0.001) Loss 1.3091 (1.3697) Prec@1 70.312 (68.191) Prec@5 88.281 (86.758) Epoch: [74][8040/10010] Time 0.335 (0.327) Data 0.001 (0.001) Loss 1.7511 (1.3697) Prec@1 60.938 (68.191) Prec@5 78.125 (86.757) Epoch: [74][8050/10010] Time 0.316 (0.327) Data 0.000 (0.001) Loss 1.2317 (1.3697) Prec@1 71.094 (68.190) Prec@5 89.062 (86.757) Epoch: [74][8060/10010] Time 0.338 (0.327) Data 0.001 (0.001) Loss 1.4477 (1.3698) Prec@1 67.188 (68.189) Prec@5 87.500 (86.756) Epoch: [74][8070/10010] Time 0.322 (0.327) Data 0.001 (0.001) Loss 1.4258 (1.3698) Prec@1 67.969 (68.189) Prec@5 84.375 (86.756) /data/vision/torralba/deepscene/lib/anaconda2/lib/python2.7/site-packages/PIL/TiffImagePlugin.py:692: UserWarning: Possibly corrupt EXIF data. Expecting to read 19660800 bytes but only got 0. Skipping tag 0 "Skipping tag %s" % (size, len(data), tag)) /data/vision/torralba/deepscene/lib/anaconda2/lib/python2.7/site-packages/PIL/TiffImagePlugin.py:692: UserWarning: Possibly corrupt EXIF data. Expecting to read 18481152 bytes but only got 0. Skipping tag 0 "Skipping tag %s" % (size, len(data), tag)) /data/vision/torralba/deepscene/lib/anaconda2/lib/python2.7/site-packages/PIL/TiffImagePlugin.py:692: UserWarning: Possibly corrupt EXIF data. Expecting to read 37093376 bytes but only got 0. Skipping tag 0 "Skipping tag %s" % (size, len(data), tag)) /data/vision/torralba/deepscene/lib/anaconda2/lib/python2.7/site-packages/PIL/TiffImagePlugin.py:692: UserWarning: Possibly corrupt EXIF data. Expecting to read 39976960 bytes but only got 0. Skipping tag 0 "Skipping tag %s" % (size, len(data), tag)) /data/vision/torralba/deepscene/lib/anaconda2/lib/python2.7/site-packages/PIL/TiffImagePlugin.py:692: UserWarning: Possibly corrupt EXIF data. Expecting to read 34865152 bytes but only got 0. Skipping tag 0 "Skipping tag %s" % (size, len(data), tag)) /data/vision/torralba/deepscene/lib/anaconda2/lib/python2.7/site-packages/PIL/TiffImagePlugin.py:709: UserWarning: Corrupt EXIF data. Expecting to read 12 bytes but only got 10. warnings.warn(str(msg)) Epoch: [74][8080/10010] Time 0.323 (0.327) Data 0.000 (0.001) Loss 1.5793 (1.3700) Prec@1 62.500 (68.185) Prec@5 83.594 (86.755) Epoch: [74][8090/10010] Time 0.329 (0.327) Data 0.000 (0.001) Loss 1.3354 (1.3699) Prec@1 64.062 (68.187) Prec@5 86.719 (86.756) Epoch: [74][8100/10010] Time 0.331 (0.327) Data 0.001 (0.001) Loss 1.6956 (1.3700) Prec@1 62.500 (68.186) Prec@5 80.469 (86.754) Epoch: [74][8110/10010] Time 0.339 (0.327) Data 0.001 (0.001) Loss 1.1775 (1.3701) Prec@1 73.438 (68.185) Prec@5 89.062 (86.754) Epoch: [74][8120/10010] Time 0.318 (0.327) Data 0.001 (0.001) Loss 1.2701 (1.3700) Prec@1 70.312 (68.187) Prec@5 87.500 (86.756) Epoch: [74][8130/10010] Time 0.342 (0.327) Data 0.000 (0.001) Loss 1.1757 (1.3699) Prec@1 73.438 (68.188) Prec@5 89.062 (86.756) Epoch: [74][8140/10010] Time 0.333 (0.327) Data 0.001 (0.001) Loss 1.5213 (1.3699) Prec@1 65.625 (68.189) Prec@5 83.594 (86.756) Epoch: [74][8150/10010] Time 0.330 (0.327) Data 0.001 (0.001) Loss 1.3447 (1.3699) Prec@1 71.094 (68.188) Prec@5 84.375 (86.756) Epoch: [74][8160/10010] Time 0.339 (0.327) Data 0.001 (0.001) Loss 1.3251 (1.3699) Prec@1 70.312 (68.186) Prec@5 87.500 (86.757) Epoch: [74][8170/10010] Time 0.318 (0.327) Data 0.001 (0.001) Loss 1.2937 (1.3699) Prec@1 65.625 (68.186) Prec@5 88.281 (86.758) Epoch: [74][8180/10010] Time 0.337 (0.327) Data 0.000 (0.001) Loss 1.3809 (1.3698) Prec@1 63.281 (68.188) Prec@5 89.062 (86.760) Epoch: [74][8190/10010] Time 0.320 (0.327) Data 0.003 (0.001) Loss 1.7171 (1.3699) Prec@1 63.281 (68.187) Prec@5 82.031 (86.759) Epoch: [74][8200/10010] Time 0.335 (0.327) Data 0.000 (0.001) Loss 1.4413 (1.3699) Prec@1 67.969 (68.188) Prec@5 84.375 (86.759) Epoch: [74][8210/10010] Time 0.315 (0.327) Data 0.001 (0.001) Loss 1.3039 (1.3700) Prec@1 64.062 (68.186) Prec@5 89.062 (86.757) Epoch: [74][8220/10010] Time 0.334 (0.327) Data 0.000 (0.001) Loss 1.1924 (1.3700) Prec@1 70.312 (68.186) Prec@5 91.406 (86.757) Epoch: [74][8230/10010] Time 0.336 (0.327) Data 0.001 (0.001) Loss 1.0898 (1.3699) Prec@1 73.438 (68.185) Prec@5 89.062 (86.758) Epoch: [74][8240/10010] Time 0.322 (0.327) Data 0.001 (0.001) Loss 1.1540 (1.3700) Prec@1 72.656 (68.184) Prec@5 89.062 (86.757) Epoch: [74][8250/10010] Time 0.315 (0.327) Data 0.001 (0.001) Loss 1.3635 (1.3700) Prec@1 65.625 (68.186) Prec@5 89.062 (86.758) Epoch: [74][8260/10010] Time 0.315 (0.327) Data 0.001 (0.001) Loss 1.4544 (1.3699) Prec@1 64.844 (68.187) Prec@5 85.938 (86.759) Epoch: [74][8270/10010] Time 0.332 (0.327) Data 0.001 (0.001) Loss 1.4944 (1.3700) Prec@1 66.406 (68.186) Prec@5 84.375 (86.758) Epoch: [74][8280/10010] Time 0.321 (0.327) Data 0.001 (0.001) Loss 1.3259 (1.3701) Prec@1 69.531 (68.186) Prec@5 89.844 (86.758) Epoch: [74][8290/10010] Time 0.333 (0.327) Data 0.000 (0.001) Loss 1.6401 (1.3701) Prec@1 66.406 (68.186) Prec@5 81.250 (86.758) Epoch: [74][8300/10010] Time 0.334 (0.327) Data 0.001 (0.001) Loss 1.6394 (1.3702) Prec@1 67.188 (68.186) Prec@5 82.031 (86.756) Epoch: [74][8310/10010] Time 0.315 (0.327) Data 0.001 (0.001) Loss 1.9245 (1.3702) Prec@1 58.594 (68.186) Prec@5 78.125 (86.755) Epoch: [74][8320/10010] Time 0.325 (0.327) Data 0.000 (0.001) Loss 1.1004 (1.3702) Prec@1 74.219 (68.186) Prec@5 91.406 (86.755) Epoch: [74][8330/10010] Time 0.326 (0.327) Data 0.001 (0.001) Loss 1.0669 (1.3701) Prec@1 77.344 (68.186) Prec@5 88.281 (86.755) Epoch: [74][8340/10010] Time 0.326 (0.327) Data 0.000 (0.001) Loss 1.5210 (1.3702) Prec@1 67.188 (68.185) Prec@5 86.719 (86.755) Epoch: [74][8350/10010] Time 0.336 (0.327) Data 0.001 (0.001) Loss 1.4235 (1.3701) Prec@1 71.875 (68.186) Prec@5 82.812 (86.756) Epoch: [74][8360/10010] Time 0.327 (0.327) Data 0.001 (0.001) Loss 1.4795 (1.3702) Prec@1 64.844 (68.184) Prec@5 84.375 (86.753) Epoch: [74][8370/10010] Time 0.342 (0.327) Data 0.000 (0.001) Loss 1.1917 (1.3701) Prec@1 74.219 (68.187) Prec@5 91.406 (86.754) Epoch: [74][8380/10010] Time 0.340 (0.327) Data 0.000 (0.001) Loss 1.3932 (1.3701) Prec@1 66.406 (68.187) Prec@5 85.156 (86.755) Epoch: [74][8390/10010] Time 0.342 (0.327) Data 0.001 (0.001) Loss 1.4664 (1.3702) Prec@1 70.312 (68.186) Prec@5 85.156 (86.754) Epoch: [74][8400/10010] Time 0.329 (0.327) Data 0.001 (0.001) Loss 1.3079 (1.3702) Prec@1 70.312 (68.185) Prec@5 85.938 (86.754) Epoch: [74][8410/10010] Time 0.318 (0.327) Data 0.000 (0.001) Loss 1.4944 (1.3702) Prec@1 61.719 (68.184) Prec@5 81.250 (86.753) Epoch: [74][8420/10010] Time 0.338 (0.327) Data 0.000 (0.001) Loss 1.3908 (1.3702) Prec@1 64.062 (68.183) Prec@5 89.062 (86.752) Epoch: [74][8430/10010] Time 0.323 (0.327) Data 0.001 (0.001) Loss 1.5509 (1.3703) Prec@1 67.188 (68.179) Prec@5 84.375 (86.750) Epoch: [74][8440/10010] Time 0.327 (0.327) Data 0.001 (0.001) Loss 1.7059 (1.3703) Prec@1 62.500 (68.179) Prec@5 82.031 (86.751) Epoch: [74][8450/10010] Time 0.326 (0.327) Data 0.000 (0.001) Loss 1.2359 (1.3702) Prec@1 71.094 (68.178) Prec@5 90.625 (86.751) Epoch: [74][8460/10010] Time 0.344 (0.327) Data 0.000 (0.001) Loss 1.6078 (1.3703) Prec@1 67.188 (68.179) Prec@5 81.250 (86.751) Epoch: [74][8470/10010] Time 0.336 (0.327) Data 0.001 (0.001) Loss 1.2688 (1.3703) Prec@1 70.312 (68.180) Prec@5 88.281 (86.752) Epoch: [74][8480/10010] Time 0.340 (0.327) Data 0.001 (0.001) Loss 1.4411 (1.3703) Prec@1 64.844 (68.179) Prec@5 86.719 (86.750) Epoch: [74][8490/10010] Time 0.321 (0.327) Data 0.000 (0.001) Loss 1.3097 (1.3703) Prec@1 67.188 (68.179) Prec@5 86.719 (86.750) Epoch: [74][8500/10010] Time 0.339 (0.327) Data 0.001 (0.001) Loss 1.2047 (1.3703) Prec@1 71.875 (68.179) Prec@5 90.625 (86.750) Epoch: [74][8510/10010] Time 0.317 (0.327) Data 0.001 (0.001) Loss 1.2549 (1.3703) Prec@1 70.312 (68.181) Prec@5 87.500 (86.751) Epoch: [74][8520/10010] Time 0.331 (0.327) Data 0.000 (0.001) Loss 1.3403 (1.3702) Prec@1 73.438 (68.183) Prec@5 86.719 (86.752) Epoch: [74][8530/10010] Time 0.315 (0.327) Data 0.001 (0.001) Loss 1.1848 (1.3702) Prec@1 70.312 (68.183) Prec@5 91.406 (86.754) Epoch: [74][8540/10010] Time 0.337 (0.327) Data 0.001 (0.001) Loss 1.2926 (1.3703) Prec@1 70.312 (68.180) Prec@5 87.500 (86.753) Epoch: [74][8550/10010] Time 0.343 (0.327) Data 0.001 (0.001) Loss 1.3912 (1.3703) Prec@1 64.844 (68.179) Prec@5 86.719 (86.752) Epoch: [74][8560/10010] Time 0.319 (0.327) Data 0.001 (0.001) Loss 1.5753 (1.3702) Prec@1 67.188 (68.181) Prec@5 86.719 (86.753) Epoch: [74][8570/10010] Time 0.338 (0.327) Data 0.001 (0.001) Loss 1.4028 (1.3702) Prec@1 67.969 (68.181) Prec@5 86.719 (86.753) Epoch: [74][8580/10010] Time 0.322 (0.327) Data 0.000 (0.001) Loss 1.1904 (1.3702) Prec@1 69.531 (68.181) Prec@5 88.281 (86.752) Epoch: [74][8590/10010] Time 0.327 (0.327) Data 0.001 (0.001) Loss 1.4203 (1.3703) Prec@1 70.312 (68.182) Prec@5 86.719 (86.751) Epoch: [74][8600/10010] Time 0.320 (0.327) Data 0.000 (0.001) Loss 1.4863 (1.3703) Prec@1 62.500 (68.181) Prec@5 82.812 (86.751) Epoch: [74][8610/10010] Time 0.327 (0.327) Data 0.001 (0.001) Loss 1.7322 (1.3703) Prec@1 61.719 (68.181) Prec@5 82.031 (86.751) Epoch: [74][8620/10010] Time 0.339 (0.327) Data 0.000 (0.001) Loss 1.6754 (1.3703) Prec@1 59.375 (68.181) Prec@5 82.031 (86.751) Epoch: [74][8630/10010] Time 0.340 (0.327) Data 0.001 (0.001) Loss 1.3738 (1.3703) Prec@1 63.281 (68.181) Prec@5 88.281 (86.752) Epoch: [74][8640/10010] Time 0.321 (0.327) Data 0.001 (0.001) Loss 1.5027 (1.3703) Prec@1 59.375 (68.179) Prec@5 83.594 (86.750) Epoch: [74][8650/10010] Time 0.323 (0.327) Data 0.001 (0.001) Loss 1.2761 (1.3703) Prec@1 71.094 (68.181) Prec@5 88.281 (86.750) Epoch: [74][8660/10010] Time 0.318 (0.327) Data 0.001 (0.001) Loss 1.3748 (1.3703) Prec@1 67.188 (68.180) Prec@5 86.719 (86.750) Epoch: [74][8670/10010] Time 0.333 (0.327) Data 0.001 (0.001) Loss 1.3655 (1.3704) Prec@1 65.625 (68.179) Prec@5 86.719 (86.750) Epoch: [74][8680/10010] Time 0.338 (0.327) Data 0.000 (0.001) Loss 1.2434 (1.3703) Prec@1 65.625 (68.176) Prec@5 87.500 (86.751) Epoch: [74][8690/10010] Time 0.312 (0.327) Data 0.001 (0.001) Loss 1.5159 (1.3703) Prec@1 60.156 (68.175) Prec@5 85.938 (86.752) Epoch: [74][8700/10010] Time 0.322 (0.327) Data 0.001 (0.001) Loss 1.4706 (1.3704) Prec@1 63.281 (68.173) Prec@5 87.500 (86.752) Epoch: [74][8710/10010] Time 0.310 (0.327) Data 0.001 (0.001) Loss 1.4119 (1.3705) Prec@1 65.625 (68.172) Prec@5 85.938 (86.752) Epoch: [74][8720/10010] Time 0.339 (0.327) Data 0.001 (0.001) Loss 1.4628 (1.3704) Prec@1 64.844 (68.173) Prec@5 86.719 (86.752) Epoch: [74][8730/10010] Time 0.326 (0.327) Data 0.001 (0.001) Loss 1.1666 (1.3703) Prec@1 70.312 (68.174) Prec@5 92.188 (86.754) Epoch: [74][8740/10010] Time 0.311 (0.327) Data 0.001 (0.001) Loss 1.3508 (1.3702) Prec@1 73.438 (68.177) Prec@5 84.375 (86.755) Epoch: [74][8750/10010] Time 0.322 (0.327) Data 0.001 (0.001) Loss 1.2088 (1.3703) Prec@1 72.656 (68.177) Prec@5 90.625 (86.755) Epoch: [74][8760/10010] Time 0.318 (0.327) Data 0.001 (0.001) Loss 1.3580 (1.3703) Prec@1 64.844 (68.177) Prec@5 84.375 (86.755) Epoch: [74][8770/10010] Time 0.338 (0.327) Data 0.000 (0.001) Loss 1.3302 (1.3702) Prec@1 64.062 (68.177) Prec@5 88.281 (86.755) Epoch: [74][8780/10010] Time 0.323 (0.327) Data 0.001 (0.001) Loss 1.2012 (1.3702) Prec@1 74.219 (68.179) Prec@5 88.281 (86.756) Epoch: [74][8790/10010] Time 0.334 (0.327) Data 0.001 (0.001) Loss 1.7656 (1.3702) Prec@1 60.938 (68.178) Prec@5 79.688 (86.755) Epoch: [74][8800/10010] Time 0.327 (0.327) Data 0.001 (0.001) Loss 1.6271 (1.3702) Prec@1 61.719 (68.176) Prec@5 78.906 (86.754) Epoch: [74][8810/10010] Time 0.310 (0.327) Data 0.000 (0.001) Loss 1.0233 (1.3702) Prec@1 74.219 (68.177) Prec@5 91.406 (86.755) Epoch: [74][8820/10010] Time 0.329 (0.327) Data 0.000 (0.001) Loss 1.5447 (1.3702) Prec@1 67.188 (68.178) Prec@5 85.938 (86.755) Epoch: [74][8830/10010] Time 0.322 (0.327) Data 0.001 (0.001) Loss 1.4426 (1.3703) Prec@1 70.312 (68.176) Prec@5 84.375 (86.753) Epoch: [74][8840/10010] Time 0.320 (0.327) Data 0.001 (0.001) Loss 1.1996 (1.3703) Prec@1 71.094 (68.176) Prec@5 89.844 (86.752) Epoch: [74][8850/10010] Time 0.321 (0.327) Data 0.001 (0.001) Loss 1.4119 (1.3703) Prec@1 70.312 (68.176) Prec@5 86.719 (86.754) Epoch: [74][8860/10010] Time 0.329 (0.327) Data 0.001 (0.001) Loss 1.3066 (1.3702) Prec@1 70.312 (68.176) Prec@5 89.062 (86.755) Epoch: [74][8870/10010] Time 0.321 (0.327) Data 0.001 (0.001) Loss 1.2769 (1.3703) Prec@1 68.750 (68.176) Prec@5 89.062 (86.752) Epoch: [74][8880/10010] Time 0.332 (0.327) Data 0.000 (0.001) Loss 1.4448 (1.3703) Prec@1 67.969 (68.175) Prec@5 85.156 (86.752) Epoch: [74][8890/10010] Time 0.314 (0.327) Data 0.000 (0.001) Loss 1.6516 (1.3704) Prec@1 65.625 (68.175) Prec@5 82.812 (86.750) Epoch: [74][8900/10010] Time 0.341 (0.327) Data 0.001 (0.001) Loss 1.5067 (1.3703) Prec@1 71.094 (68.178) Prec@5 83.594 (86.751) Epoch: [74][8910/10010] Time 0.309 (0.327) Data 0.001 (0.001) Loss 1.4186 (1.3703) Prec@1 70.312 (68.178) Prec@5 88.281 (86.752) Epoch: [74][8920/10010] Time 0.328 (0.327) Data 0.001 (0.001) Loss 1.2483 (1.3703) Prec@1 65.625 (68.176) Prec@5 89.844 (86.753) Epoch: [74][8930/10010] Time 0.319 (0.327) Data 0.001 (0.001) Loss 1.5956 (1.3703) Prec@1 66.406 (68.175) Prec@5 82.812 (86.753) Epoch: [74][8940/10010] Time 0.318 (0.327) Data 0.000 (0.001) Loss 1.2851 (1.3704) Prec@1 68.750 (68.176) Prec@5 89.062 (86.754) Epoch: [74][8950/10010] Time 0.340 (0.327) Data 0.000 (0.001) Loss 1.3843 (1.3703) Prec@1 68.750 (68.176) Prec@5 87.500 (86.754) Epoch: [74][8960/10010] Time 0.338 (0.327) Data 0.000 (0.001) Loss 1.4410 (1.3704) Prec@1 66.406 (68.174) Prec@5 85.938 (86.752) Epoch: [74][8970/10010] Time 0.316 (0.327) Data 0.001 (0.001) Loss 1.4627 (1.3704) Prec@1 69.531 (68.174) Prec@5 85.156 (86.752) Epoch: [74][8980/10010] Time 0.329 (0.327) Data 0.001 (0.001) Loss 1.3895 (1.3703) Prec@1 67.188 (68.174) Prec@5 86.719 (86.753) Epoch: [74][8990/10010] Time 0.337 (0.327) Data 0.001 (0.001) Loss 1.2137 (1.3702) Prec@1 74.219 (68.177) Prec@5 86.719 (86.754) Epoch: [74][9000/10010] Time 0.322 (0.327) Data 0.000 (0.001) Loss 1.2588 (1.3702) Prec@1 64.844 (68.176) Prec@5 88.281 (86.754) Epoch: [74][9010/10010] Time 0.317 (0.327) Data 0.001 (0.001) Loss 1.8248 (1.3703) Prec@1 63.281 (68.174) Prec@5 78.125 (86.753) Epoch: [74][9020/10010] Time 0.328 (0.327) Data 0.000 (0.001) Loss 1.2984 (1.3703) Prec@1 65.625 (68.172) Prec@5 89.062 (86.753) Epoch: [74][9030/10010] Time 0.318 (0.327) Data 0.000 (0.001) Loss 1.4653 (1.3703) Prec@1 63.281 (68.173) Prec@5 82.812 (86.752) Epoch: [74][9040/10010] Time 0.316 (0.327) Data 0.001 (0.001) Loss 1.4367 (1.3703) Prec@1 63.281 (68.173) Prec@5 86.719 (86.753) Epoch: [74][9050/10010] Time 0.319 (0.327) Data 0.001 (0.001) Loss 1.2724 (1.3703) Prec@1 70.312 (68.172) Prec@5 85.938 (86.753) Epoch: [74][9060/10010] Time 0.337 (0.327) Data 0.001 (0.001) Loss 1.3976 (1.3705) Prec@1 64.844 (68.169) Prec@5 86.719 (86.751) Epoch: [74][9070/10010] Time 0.316 (0.327) Data 0.001 (0.001) Loss 1.4246 (1.3705) Prec@1 69.531 (68.167) Prec@5 86.719 (86.752) Epoch: [74][9080/10010] Time 0.320 (0.327) Data 0.001 (0.001) Loss 1.3669 (1.3705) Prec@1 67.188 (68.165) Prec@5 85.938 (86.751) Epoch: [74][9090/10010] Time 0.341 (0.327) Data 0.001 (0.001) Loss 1.2615 (1.3705) Prec@1 67.969 (68.164) Prec@5 86.719 (86.751) Epoch: [74][9100/10010] Time 0.323 (0.327) Data 0.000 (0.001) Loss 1.6709 (1.3705) Prec@1 62.500 (68.165) Prec@5 80.469 (86.752) Epoch: [74][9110/10010] Time 0.331 (0.327) Data 0.000 (0.001) Loss 1.4102 (1.3705) Prec@1 69.531 (68.166) Prec@5 83.594 (86.751) Epoch: [74][9120/10010] Time 0.338 (0.327) Data 0.000 (0.001) Loss 1.3930 (1.3706) Prec@1 64.062 (68.164) Prec@5 85.938 (86.751) Epoch: [74][9130/10010] Time 0.320 (0.327) Data 0.000 (0.001) Loss 1.3555 (1.3705) Prec@1 71.094 (68.165) Prec@5 86.719 (86.751) Epoch: [74][9140/10010] Time 0.314 (0.327) Data 0.001 (0.001) Loss 1.0509 (1.3704) Prec@1 75.000 (68.166) Prec@5 92.188 (86.753) Epoch: [74][9150/10010] Time 0.341 (0.327) Data 0.000 (0.001) Loss 1.2171 (1.3703) Prec@1 71.875 (68.170) Prec@5 89.062 (86.755) Epoch: [74][9160/10010] Time 0.318 (0.327) Data 0.001 (0.001) Loss 1.5789 (1.3704) Prec@1 66.406 (68.170) Prec@5 82.031 (86.753) Epoch: [74][9170/10010] Time 0.345 (0.327) Data 0.000 (0.001) Loss 1.3864 (1.3704) Prec@1 68.750 (68.169) Prec@5 85.938 (86.751) Epoch: [74][9180/10010] Time 0.320 (0.327) Data 0.000 (0.001) Loss 1.3914 (1.3704) Prec@1 64.062 (68.168) Prec@5 85.938 (86.752) Epoch: [74][9190/10010] Time 0.324 (0.327) Data 0.001 (0.001) Loss 1.1551 (1.3706) Prec@1 70.312 (68.166) Prec@5 91.406 (86.751) Epoch: [74][9200/10010] Time 0.318 (0.327) Data 0.000 (0.001) Loss 1.5633 (1.3706) Prec@1 63.281 (68.164) Prec@5 83.594 (86.750) Epoch: [74][9210/10010] Time 0.323 (0.327) Data 0.001 (0.001) Loss 1.4729 (1.3707) Prec@1 64.844 (68.162) Prec@5 85.938 (86.749) Epoch: [74][9220/10010] Time 0.345 (0.327) Data 0.000 (0.001) Loss 1.6269 (1.3708) Prec@1 63.281 (68.161) Prec@5 80.469 (86.748) Epoch: [74][9230/10010] Time 0.332 (0.327) Data 0.001 (0.001) Loss 1.6102 (1.3707) Prec@1 61.719 (68.161) Prec@5 83.594 (86.749) Epoch: [74][9240/10010] Time 0.330 (0.327) Data 0.001 (0.001) Loss 1.4162 (1.3707) Prec@1 64.062 (68.162) Prec@5 89.062 (86.750) Epoch: [74][9250/10010] Time 0.324 (0.327) Data 0.000 (0.001) Loss 1.4793 (1.3707) Prec@1 67.188 (68.161) Prec@5 85.156 (86.750) Epoch: [74][9260/10010] Time 0.331 (0.327) Data 0.001 (0.001) Loss 1.2091 (1.3706) Prec@1 71.094 (68.163) Prec@5 89.062 (86.753) Epoch: [74][9270/10010] Time 0.337 (0.327) Data 0.001 (0.001) Loss 1.8933 (1.3707) Prec@1 62.500 (68.162) Prec@5 78.906 (86.752) Epoch: [74][9280/10010] Time 0.326 (0.327) Data 0.001 (0.001) Loss 1.2409 (1.3707) Prec@1 71.094 (68.163) Prec@5 89.062 (86.752) Epoch: [74][9290/10010] Time 0.328 (0.327) Data 0.000 (0.001) Loss 1.3191 (1.3708) Prec@1 71.094 (68.162) Prec@5 85.938 (86.750) Epoch: [74][9300/10010] Time 0.320 (0.327) Data 0.001 (0.001) Loss 1.3274 (1.3708) Prec@1 69.531 (68.163) Prec@5 86.719 (86.750) Epoch: [74][9310/10010] Time 0.328 (0.327) Data 0.001 (0.001) Loss 1.2815 (1.3708) Prec@1 73.438 (68.165) Prec@5 86.719 (86.750) Epoch: [74][9320/10010] Time 0.342 (0.327) Data 0.000 (0.001) Loss 1.2945 (1.3707) Prec@1 67.969 (68.167) Prec@5 85.938 (86.750) Epoch: [74][9330/10010] Time 0.328 (0.327) Data 0.001 (0.001) Loss 1.3693 (1.3708) Prec@1 67.188 (68.166) Prec@5 89.062 (86.749) Epoch: [74][9340/10010] Time 0.330 (0.327) Data 0.000 (0.001) Loss 1.2405 (1.3708) Prec@1 69.531 (68.165) Prec@5 87.500 (86.750) Epoch: [74][9350/10010] Time 0.337 (0.327) Data 0.001 (0.001) Loss 1.4321 (1.3708) Prec@1 67.188 (68.165) Prec@5 87.500 (86.751) Epoch: [74][9360/10010] Time 0.318 (0.327) Data 0.001 (0.001) Loss 1.4253 (1.3708) Prec@1 67.969 (68.165) Prec@5 89.844 (86.752) Epoch: [74][9370/10010] Time 0.315 (0.327) Data 0.001 (0.001) Loss 1.5748 (1.3709) Prec@1 65.625 (68.164) Prec@5 84.375 (86.751) Epoch: [74][9380/10010] Time 0.321 (0.327) Data 0.001 (0.001) Loss 1.3083 (1.3709) Prec@1 68.750 (68.163) Prec@5 89.062 (86.750) Epoch: [74][9390/10010] Time 0.321 (0.327) Data 0.001 (0.001) Loss 1.5475 (1.3709) Prec@1 65.625 (68.165) Prec@5 84.375 (86.751) Epoch: [74][9400/10010] Time 0.320 (0.327) Data 0.000 (0.001) Loss 1.3080 (1.3710) Prec@1 70.312 (68.163) Prec@5 86.719 (86.750) Epoch: [74][9410/10010] Time 0.314 (0.327) Data 0.001 (0.001) Loss 1.4188 (1.3710) Prec@1 67.969 (68.162) Prec@5 87.500 (86.752) Epoch: [74][9420/10010] Time 0.327 (0.327) Data 0.001 (0.001) Loss 1.4459 (1.3709) Prec@1 64.062 (68.162) Prec@5 85.938 (86.753) Epoch: [74][9430/10010] Time 0.315 (0.327) Data 0.001 (0.001) Loss 1.5003 (1.3708) Prec@1 66.406 (68.165) Prec@5 85.938 (86.754) Epoch: [74][9440/10010] Time 0.335 (0.327) Data 0.001 (0.001) Loss 1.3093 (1.3709) Prec@1 64.844 (68.163) Prec@5 87.500 (86.754) Epoch: [74][9450/10010] Time 0.331 (0.327) Data 0.000 (0.001) Loss 1.3824 (1.3709) Prec@1 60.938 (68.161) Prec@5 87.500 (86.754) Epoch: [74][9460/10010] Time 0.316 (0.327) Data 0.001 (0.001) Loss 1.3332 (1.3709) Prec@1 70.312 (68.162) Prec@5 86.719 (86.754) Epoch: [74][9470/10010] Time 0.331 (0.327) Data 0.001 (0.001) Loss 0.9071 (1.3708) Prec@1 76.562 (68.162) Prec@5 92.188 (86.755) Epoch: [74][9480/10010] Time 0.314 (0.327) Data 0.001 (0.001) Loss 1.4666 (1.3709) Prec@1 62.500 (68.160) Prec@5 86.719 (86.755) Epoch: [74][9490/10010] Time 0.322 (0.327) Data 0.000 (0.001) Loss 1.6277 (1.3708) Prec@1 64.844 (68.162) Prec@5 86.719 (86.756) Epoch: [74][9500/10010] Time 0.320 (0.327) Data 0.001 (0.001) Loss 1.1104 (1.3708) Prec@1 77.344 (68.161) Prec@5 87.500 (86.756) Epoch: [74][9510/10010] Time 0.337 (0.327) Data 0.001 (0.001) Loss 1.4662 (1.3708) Prec@1 69.531 (68.162) Prec@5 87.500 (86.756) Epoch: [74][9520/10010] Time 0.309 (0.327) Data 0.000 (0.001) Loss 1.2950 (1.3708) Prec@1 73.438 (68.162) Prec@5 88.281 (86.755) Epoch: [74][9530/10010] Time 0.334 (0.327) Data 0.001 (0.001) Loss 1.5376 (1.3708) Prec@1 63.281 (68.162) Prec@5 82.812 (86.755) Epoch: [74][9540/10010] Time 0.324 (0.327) Data 0.001 (0.001) Loss 1.5051 (1.3708) Prec@1 67.188 (68.159) Prec@5 83.594 (86.753) Epoch: [74][9550/10010] Time 0.323 (0.327) Data 0.000 (0.001) Loss 1.3391 (1.3708) Prec@1 70.312 (68.159) Prec@5 89.062 (86.754) Epoch: [74][9560/10010] Time 0.322 (0.327) Data 0.001 (0.001) Loss 1.3859 (1.3709) Prec@1 64.844 (68.158) Prec@5 85.156 (86.754) Epoch: [74][9570/10010] Time 0.341 (0.327) Data 0.000 (0.001) Loss 1.1503 (1.3709) Prec@1 71.875 (68.159) Prec@5 88.281 (86.753) Epoch: [74][9580/10010] Time 0.317 (0.327) Data 0.001 (0.001) Loss 1.7149 (1.3710) Prec@1 60.938 (68.159) Prec@5 82.812 (86.753) Epoch: [74][9590/10010] Time 0.319 (0.327) Data 0.001 (0.001) Loss 1.6761 (1.3710) Prec@1 65.625 (68.157) Prec@5 79.688 (86.751) Epoch: [74][9600/10010] Time 0.330 (0.327) Data 0.001 (0.001) Loss 1.3150 (1.3710) Prec@1 72.656 (68.158) Prec@5 85.156 (86.752) Epoch: [74][9610/10010] Time 0.318 (0.327) Data 0.000 (0.001) Loss 1.6973 (1.3710) Prec@1 60.938 (68.158) Prec@5 79.688 (86.751) Epoch: [74][9620/10010] Time 0.317 (0.327) Data 0.000 (0.001) Loss 1.3105 (1.3711) Prec@1 71.094 (68.156) Prec@5 92.188 (86.750) Epoch: [74][9630/10010] Time 0.319 (0.327) Data 0.001 (0.001) Loss 1.4809 (1.3710) Prec@1 62.500 (68.157) Prec@5 86.719 (86.751) Epoch: [74][9640/10010] Time 0.310 (0.327) Data 0.001 (0.001) Loss 1.5687 (1.3710) Prec@1 67.188 (68.158) Prec@5 82.031 (86.751) Epoch: [74][9650/10010] Time 0.318 (0.327) Data 0.001 (0.001) Loss 1.3443 (1.3710) Prec@1 62.500 (68.158) Prec@5 89.062 (86.750) Epoch: [74][9660/10010] Time 0.321 (0.327) Data 0.001 (0.001) Loss 1.4502 (1.3710) Prec@1 67.188 (68.158) Prec@5 85.156 (86.750) Epoch: [74][9670/10010] Time 0.323 (0.327) Data 0.001 (0.001) Loss 1.5247 (1.3711) Prec@1 65.625 (68.158) Prec@5 85.156 (86.749) Epoch: [74][9680/10010] Time 0.334 (0.327) Data 0.001 (0.001) Loss 1.5516 (1.3711) Prec@1 62.500 (68.157) Prec@5 82.812 (86.748) Epoch: [74][9690/10010] Time 0.317 (0.327) Data 0.001 (0.001) Loss 1.5331 (1.3712) Prec@1 67.188 (68.157) Prec@5 83.594 (86.748) Epoch: [74][9700/10010] Time 0.332 (0.327) Data 0.000 (0.001) Loss 1.1844 (1.3711) Prec@1 67.188 (68.159) Prec@5 90.625 (86.749) Epoch: [74][9710/10010] Time 0.323 (0.327) Data 0.000 (0.001) Loss 1.1969 (1.3712) Prec@1 72.656 (68.158) Prec@5 88.281 (86.749) Epoch: [74][9720/10010] Time 0.336 (0.327) Data 0.000 (0.001) Loss 1.2289 (1.3711) Prec@1 70.312 (68.160) Prec@5 89.062 (86.749) Epoch: [74][9730/10010] Time 0.343 (0.327) Data 0.001 (0.001) Loss 1.3539 (1.3711) Prec@1 72.656 (68.162) Prec@5 82.812 (86.749) Epoch: [74][9740/10010] Time 0.335 (0.327) Data 0.001 (0.001) Loss 1.2765 (1.3711) Prec@1 69.531 (68.162) Prec@5 89.062 (86.750) Epoch: [74][9750/10010] Time 0.314 (0.327) Data 0.001 (0.001) Loss 1.5810 (1.3712) Prec@1 63.281 (68.160) Prec@5 83.594 (86.748) Epoch: [74][9760/10010] Time 0.320 (0.327) Data 0.001 (0.001) Loss 1.4526 (1.3711) Prec@1 59.375 (68.162) Prec@5 84.375 (86.749) Epoch: [74][9770/10010] Time 0.333 (0.327) Data 0.001 (0.001) Loss 1.3587 (1.3713) Prec@1 61.719 (68.159) Prec@5 88.281 (86.746) Epoch: [74][9780/10010] Time 0.317 (0.327) Data 0.001 (0.001) Loss 1.4804 (1.3713) Prec@1 62.500 (68.157) Prec@5 88.281 (86.746) Epoch: [74][9790/10010] Time 0.320 (0.327) Data 0.000 (0.001) Loss 1.7372 (1.3713) Prec@1 55.469 (68.159) Prec@5 85.938 (86.747) Epoch: [74][9800/10010] Time 0.314 (0.327) Data 0.001 (0.001) Loss 1.7700 (1.3713) Prec@1 59.375 (68.158) Prec@5 79.688 (86.746) Epoch: [74][9810/10010] Time 0.317 (0.327) Data 0.001 (0.001) Loss 1.2789 (1.3712) Prec@1 71.094 (68.159) Prec@5 85.938 (86.747) Epoch: [74][9820/10010] Time 0.329 (0.327) Data 0.001 (0.001) Loss 1.4505 (1.3713) Prec@1 67.969 (68.159) Prec@5 85.938 (86.746) Epoch: [74][9830/10010] Time 0.320 (0.327) Data 0.000 (0.001) Loss 1.1871 (1.3713) Prec@1 69.531 (68.160) Prec@5 90.625 (86.745) Epoch: [74][9840/10010] Time 0.329 (0.327) Data 0.001 (0.001) Loss 1.4366 (1.3713) Prec@1 65.625 (68.159) Prec@5 84.375 (86.745) Epoch: [74][9850/10010] Time 0.337 (0.327) Data 0.000 (0.001) Loss 1.3648 (1.3713) Prec@1 67.969 (68.159) Prec@5 86.719 (86.745) Epoch: [74][9860/10010] Time 0.315 (0.327) Data 0.001 (0.001) Loss 1.3528 (1.3712) Prec@1 69.531 (68.161) Prec@5 87.500 (86.746) Epoch: [74][9870/10010] Time 0.315 (0.327) Data 0.001 (0.001) Loss 1.3268 (1.3713) Prec@1 71.094 (68.161) Prec@5 83.594 (86.745) Epoch: [74][9880/10010] Time 0.320 (0.327) Data 0.001 (0.001) Loss 1.7088 (1.3713) Prec@1 65.625 (68.161) Prec@5 79.688 (86.746) Epoch: [74][9890/10010] Time 0.339 (0.327) Data 0.001 (0.001) Loss 1.1954 (1.3713) Prec@1 65.625 (68.159) Prec@5 89.062 (86.744) Epoch: [74][9900/10010] Time 0.317 (0.327) Data 0.001 (0.001) Loss 1.2014 (1.3713) Prec@1 71.094 (68.160) Prec@5 89.062 (86.744) Epoch: [74][9910/10010] Time 0.338 (0.327) Data 0.001 (0.001) Loss 1.0822 (1.3713) Prec@1 73.438 (68.160) Prec@5 92.969 (86.745) Epoch: [74][9920/10010] Time 0.339 (0.327) Data 0.001 (0.001) Loss 1.5441 (1.3713) Prec@1 67.188 (68.159) Prec@5 83.594 (86.745) Epoch: [74][9930/10010] Time 0.315 (0.327) Data 0.001 (0.001) Loss 1.3097 (1.3712) Prec@1 67.969 (68.160) Prec@5 86.719 (86.746) Epoch: [74][9940/10010] Time 0.311 (0.327) Data 0.001 (0.001) Loss 1.3396 (1.3711) Prec@1 70.312 (68.161) Prec@5 87.500 (86.746) Epoch: [74][9950/10010] Time 0.335 (0.327) Data 0.001 (0.001) Loss 1.6053 (1.3711) Prec@1 67.188 (68.162) Prec@5 85.156 (86.746) Epoch: [74][9960/10010] Time 0.336 (0.327) Data 0.000 (0.001) Loss 1.3196 (1.3711) Prec@1 74.219 (68.162) Prec@5 89.844 (86.746) Epoch: [74][9970/10010] Time 0.342 (0.327) Data 0.001 (0.001) Loss 1.5105 (1.3713) Prec@1 62.500 (68.158) Prec@5 85.156 (86.744) Epoch: [74][9980/10010] Time 0.315 (0.327) Data 0.001 (0.001) Loss 1.3646 (1.3713) Prec@1 67.969 (68.159) Prec@5 87.500 (86.745) Epoch: [74][9990/10010] Time 0.311 (0.327) Data 0.001 (0.001) Loss 1.4579 (1.3713) Prec@1 67.188 (68.160) Prec@5 85.156 (86.745) Epoch: [74][10000/10010] Time 0.337 (0.327) Data 0.000 (0.001) Loss 1.4244 (1.3713) Prec@1 69.531 (68.161) Prec@5 86.719 (86.744) Test: [0/391] Time 1.434 (1.434) Loss 0.6725 (0.6725) Prec@1 84.375 (84.375) Prec@5 96.094 (96.094) Test: [10/391] Time 0.104 (0.223) Loss 1.2922 (0.6385) Prec@1 68.750 (84.446) Prec@5 89.844 (95.312) Test: [20/391] Time 0.103 (0.170) Loss 0.8649 (0.9012) Prec@1 76.562 (77.158) Prec@5 92.969 (93.043) Test: [30/391] Time 0.105 (0.149) Loss 1.6504 (1.0291) Prec@1 69.531 (73.816) Prec@5 86.719 (92.036) Test: [40/391] Time 0.101 (0.137) Loss 0.9234 (0.9250) Prec@1 80.469 (76.410) Prec@5 91.406 (92.873) Test: [50/391] Time 0.107 (0.131) Loss 0.4401 (0.9457) Prec@1 87.500 (76.149) Prec@5 96.875 (92.540) Test: [60/391] Time 0.103 (0.127) Loss 0.9451 (0.8920) Prec@1 76.562 (77.408) Prec@5 92.969 (93.084) Test: [70/391] Time 0.107 (0.125) Loss 1.0245 (0.9194) Prec@1 68.750 (76.496) Prec@5 96.094 (93.112) Test: [80/391] Time 0.103 (0.122) Loss 0.9382 (0.9328) Prec@1 75.000 (75.723) Prec@5 93.750 (93.171) Test: [90/391] Time 0.109 (0.120) Loss 1.1114 (0.9383) Prec@1 58.594 (75.524) Prec@5 95.312 (93.235) Test: [100/391] Time 0.106 (0.119) Loss 0.6283 (0.9306) Prec@1 85.938 (75.456) Prec@5 96.875 (93.464) Test: [110/391] Time 0.101 (0.118) Loss 1.3685 (0.9342) Prec@1 50.781 (75.204) Prec@5 92.969 (93.560) Test: [120/391] Time 0.103 (0.117) Loss 0.7551 (0.9263) Prec@1 79.688 (75.581) Prec@5 94.531 (93.640) Test: [130/391] Time 0.104 (0.116) Loss 0.4414 (0.9188) Prec@1 89.844 (75.936) Prec@5 96.875 (93.714) Test: [140/391] Time 0.103 (0.115) Loss 1.1558 (0.9165) Prec@1 68.750 (75.909) Prec@5 92.969 (93.783) Test: [150/391] Time 0.108 (0.114) Loss 0.8997 (0.9227) Prec@1 71.094 (75.838) Prec@5 95.312 (93.647) Test: [160/391] Time 0.102 (0.114) Loss 0.9378 (0.9291) Prec@1 73.438 (75.728) Prec@5 92.188 (93.556) Test: [170/391] Time 0.105 (0.113) Loss 1.7283 (0.9633) Prec@1 54.688 (75.037) Prec@5 86.719 (93.156) Test: [180/391] Time 0.111 (0.113) Loss 2.0316 (0.9950) Prec@1 55.469 (74.387) Prec@5 85.938 (92.766) Test: [190/391] Time 0.101 (0.113) Loss 2.0571 (1.0329) Prec@1 54.688 (73.638) Prec@5 82.812 (92.261) Test: [200/391] Time 0.101 (0.112) Loss 1.1418 (1.0641) Prec@1 72.656 (73.072) Prec@5 93.750 (91.826) Test: [210/391] Time 0.105 (0.112) Loss 1.5163 (1.0823) Prec@1 67.969 (72.719) Prec@5 86.719 (91.632) Test: [220/391] Time 0.103 (0.112) Loss 0.5826 (1.0919) Prec@1 84.375 (72.564) Prec@5 96.094 (91.442) Test: [230/391] Time 0.116 (0.111) Loss 2.0167 (1.1054) Prec@1 55.469 (72.355) Prec@5 81.250 (91.278) Test: [240/391] Time 0.103 (0.111) Loss 1.4404 (1.1129) Prec@1 74.219 (72.309) Prec@5 83.594 (91.121) Test: [250/391] Time 0.108 (0.111) Loss 0.7738 (1.1366) Prec@1 80.469 (71.757) Prec@5 93.750 (90.806) Test: [260/391] Time 0.104 (0.111) Loss 1.3024 (1.1511) Prec@1 69.531 (71.471) Prec@5 89.844 (90.634) Test: [270/391] Time 0.105 (0.111) Loss 1.9400 (1.1612) Prec@1 56.250 (71.261) Prec@5 83.594 (90.492) Test: [280/391] Time 0.106 (0.111) Loss 1.1633 (1.1668) Prec@1 71.094 (71.197) Prec@5 93.750 (90.416) Test: [290/391] Time 0.105 (0.110) Loss 1.5949 (1.1775) Prec@1 49.219 (70.976) Prec@5 90.625 (90.255) Test: [300/391] Time 0.100 (0.110) Loss 1.3546 (1.1881) Prec@1 74.219 (70.782) Prec@5 86.719 (90.103) Test: [310/391] Time 0.100 (0.110) Loss 1.4875 (1.1978) Prec@1 67.969 (70.627) Prec@5 83.594 (89.939) Test: [320/391] Time 0.110 (0.110) Loss 0.7775 (1.2046) Prec@1 83.594 (70.561) Prec@5 93.750 (89.863) Test: [330/391] Time 0.101 (0.110) Loss 1.8840 (1.2232) Prec@1 57.031 (70.135) Prec@5 81.250 (89.634) Test: [340/391] Time 0.106 (0.109) Loss 1.0522 (1.2286) Prec@1 64.844 (69.994) Prec@5 96.094 (89.573) Test: [350/391] Time 0.113 (0.110) Loss 1.2506 (1.2325) Prec@1 73.438 (69.934) Prec@5 89.844 (89.497) Test: [360/391] Time 0.109 (0.110) Loss 1.3484 (1.2408) Prec@1 63.281 (69.774) Prec@5 92.188 (89.433) Test: [370/391] Time 0.110 (0.110) Loss 1.1285 (1.2353) Prec@1 66.406 (69.845) Prec@5 95.312 (89.503) Test: [380/391] Time 0.103 (0.110) Loss 1.0278 (1.2375) Prec@1 74.219 (69.790) Prec@5 91.406 (89.460) Test: [390/391] Time 0.068 (0.109) Loss 2.1045 (1.2310) Prec@1 38.750 (69.942) Prec@5 80.000 (89.534) * Prec@1 69.942 Prec@5 89.534 Epoch: [75][0/10010] Time 2.594 (2.594) Data 2.392 (2.392) Loss 1.3959 (1.3959) Prec@1 70.312 (70.312) Prec@5 83.594 (83.594) Epoch: [75][10/10010] Time 0.317 (0.524) Data 0.001 (0.225) Loss 1.0663 (1.3216) Prec@1 74.219 (69.602) Prec@5 89.062 (86.506) Epoch: [75][20/10010] Time 0.311 (0.425) Data 0.001 (0.118) Loss 1.5506 (1.3541) Prec@1 64.062 (68.936) Prec@5 84.375 (86.458) Epoch: [75][30/10010] Time 0.323 (0.390) Data 0.000 (0.080) Loss 1.1596 (1.3346) Prec@1 73.438 (68.775) Prec@5 87.500 (87.097) Epoch: [75][40/10010] Time 0.335 (0.374) Data 0.001 (0.061) Loss 1.2656 (1.3139) Prec@1 67.969 (68.921) Prec@5 86.719 (87.481) Epoch: [75][50/10010] Time 0.321 (0.364) Data 0.001 (0.049) Loss 1.4405 (1.3349) Prec@1 66.406 (68.781) Prec@5 82.812 (87.102) Epoch: [75][60/10010] Time 0.335 (0.358) Data 0.000 (0.041) Loss 1.2937 (1.3260) Prec@1 69.531 (69.045) Prec@5 89.062 (87.308) Epoch: [75][70/10010] Time 0.340 (0.355) Data 0.001 (0.035) Loss 1.4570 (1.3246) Prec@1 67.188 (69.168) Prec@5 83.594 (87.280) Epoch: [75][80/10010] Time 0.322 (0.351) Data 0.001 (0.031) Loss 1.2949 (1.3289) Prec@1 72.656 (69.059) Prec@5 86.719 (87.259) Epoch: [75][90/10010] Time 0.315 (0.348) Data 0.001 (0.028) Loss 1.2659 (1.3383) Prec@1 69.531 (68.870) Prec@5 88.281 (87.139) Epoch: [75][100/10010] Time 0.339 (0.346) Data 0.001 (0.025) Loss 1.3621 (1.3381) Prec@1 65.625 (68.920) Prec@5 86.719 (87.198) Epoch: [75][110/10010] Time 0.325 (0.344) Data 0.001 (0.023) Loss 1.0646 (1.3314) Prec@1 76.562 (69.151) Prec@5 92.969 (87.303) Epoch: [75][120/10010] Time 0.315 (0.342) Data 0.001 (0.021) Loss 1.3487 (1.3268) Prec@1 67.188 (69.131) Prec@5 89.844 (87.358) Epoch: [75][130/10010] Time 0.320 (0.340) Data 0.001 (0.020) Loss 1.4733 (1.3305) Prec@1 71.094 (69.096) Prec@5 84.375 (87.285) Epoch: [75][140/10010] Time 0.338 (0.339) Data 0.001 (0.018) Loss 1.1987 (1.3284) Prec@1 70.312 (69.160) Prec@5 90.625 (87.295) Epoch: [75][150/10010] Time 0.315 (0.338) Data 0.000 (0.017) Loss 1.5862 (1.3298) Prec@1 70.312 (69.195) Prec@5 84.375 (87.283) Epoch: [75][160/10010] Time 0.339 (0.337) Data 0.001 (0.016) Loss 1.4332 (1.3305) Prec@1 64.844 (69.075) Prec@5 84.375 (87.282) Epoch: [75][170/10010] Time 0.335 (0.336) Data 0.001 (0.015) Loss 1.3807 (1.3298) Prec@1 66.406 (69.115) Prec@5 84.375 (87.249) Epoch: [75][180/10010] Time 0.342 (0.336) Data 0.001 (0.014) Loss 1.5466 (1.3311) Prec@1 64.844 (69.052) Prec@5 84.375 (87.198) Epoch: [75][190/10010] Time 0.315 (0.335) Data 0.001 (0.014) Loss 1.1391 (1.3310) Prec@1 71.875 (69.024) Prec@5 92.188 (87.214) Epoch: [75][200/10010] Time 0.320 (0.335) Data 0.001 (0.013) Loss 1.3411 (1.3300) Prec@1 70.312 (69.018) Prec@5 88.281 (87.255) Epoch: [75][210/10010] Time 0.338 (0.334) Data 0.001 (0.012) Loss 1.3037 (1.3249) Prec@1 67.188 (69.050) Prec@5 88.281 (87.322) Epoch: [75][220/10010] Time 0.321 (0.334) Data 0.001 (0.012) Loss 1.3635 (1.3271) Prec@1 71.875 (69.029) Prec@5 84.375 (87.291) Epoch: [75][230/10010] Time 0.330 (0.334) Data 0.000 (0.011) Loss 1.5822 (1.3291) Prec@1 60.156 (68.987) Prec@5 86.719 (87.263) Epoch: [75][240/10010] Time 0.338 (0.333) Data 0.000 (0.011) Loss 1.4335 (1.3309) Prec@1 68.750 (68.951) Prec@5 86.719 (87.224) Epoch: [75][250/10010] Time 0.337 (0.333) Data 0.001 (0.011) Loss 1.3647 (1.3349) Prec@1 71.094 (68.853) Prec@5 88.281 (87.195) Epoch: [75][260/10010] Time 0.337 (0.333) Data 0.001 (0.010) Loss 1.2301 (1.3343) Prec@1 68.750 (68.849) Prec@5 88.281 (87.243) Epoch: [75][270/10010] Time 0.338 (0.333) Data 0.000 (0.010) Loss 1.3619 (1.3368) Prec@1 67.188 (68.802) Prec@5 87.500 (87.223) Epoch: [75][280/10010] Time 0.320 (0.332) Data 0.000 (0.009) Loss 1.4299 (1.3380) Prec@1 67.188 (68.814) Prec@5 86.719 (87.205) Epoch: [75][290/10010] Time 0.315 (0.332) Data 0.000 (0.009) Loss 1.1480 (1.3381) Prec@1 72.656 (68.841) Prec@5 92.188 (87.213) Epoch: [75][300/10010] Time 0.317 (0.332) Data 0.000 (0.009) Loss 1.3577 (1.3384) Prec@1 67.188 (68.797) Prec@5 85.156 (87.199) Epoch: [75][310/10010] Time 0.335 (0.332) Data 0.000 (0.009) Loss 1.4533 (1.3360) Prec@1 71.875 (68.858) Prec@5 83.594 (87.216) Epoch: [75][320/10010] Time 0.327 (0.331) Data 0.000 (0.008) Loss 1.4928 (1.3408) Prec@1 64.062 (68.760) Prec@5 82.812 (87.115) Epoch: [75][330/10010] Time 0.318 (0.331) Data 0.001 (0.008) Loss 1.2506 (1.3411) Prec@1 67.188 (68.762) Prec@5 89.062 (87.108) Epoch: [75][340/10010] Time 0.325 (0.331) Data 0.001 (0.008) Loss 1.2014 (1.3375) Prec@1 74.219 (68.837) Prec@5 87.500 (87.184) Epoch: [75][350/10010] Time 0.315 (0.331) Data 0.001 (0.008) Loss 1.4136 (1.3358) Prec@1 67.969 (68.864) Prec@5 85.156 (87.211) Epoch: [75][360/10010] Time 0.327 (0.331) Data 0.000 (0.008) Loss 1.3313 (1.3345) Prec@1 66.406 (68.873) Prec@5 89.062 (87.240) Epoch: [75][370/10010] Time 0.312 (0.330) Data 0.001 (0.007) Loss 1.2932 (1.3357) Prec@1 75.000 (68.889) Prec@5 87.500 (87.222) Epoch: [75][380/10010] Time 0.319 (0.330) Data 0.001 (0.007) Loss 1.3355 (1.3370) Prec@1 66.406 (68.873) Prec@5 85.938 (87.201) Epoch: [75][390/10010] Time 0.325 (0.330) Data 0.001 (0.007) Loss 1.4762 (1.3378) Prec@1 63.281 (68.860) Prec@5 82.031 (87.178) Epoch: [75][400/10010] Time 0.322 (0.330) Data 0.000 (0.007) Loss 1.6353 (1.3389) Prec@1 64.844 (68.838) Prec@5 82.031 (87.143) Epoch: [75][410/10010] Time 0.316 (0.330) Data 0.001 (0.007) Loss 1.2664 (1.3392) Prec@1 65.625 (68.805) Prec@5 89.062 (87.105) Epoch: [75][420/10010] Time 0.315 (0.330) Data 0.001 (0.007) Loss 1.1624 (1.3403) Prec@1 70.312 (68.802) Prec@5 88.281 (87.062) Epoch: [75][430/10010] Time 0.333 (0.330) Data 0.001 (0.006) Loss 1.4960 (1.3404) Prec@1 67.188 (68.797) Prec@5 82.812 (87.072) Epoch: [75][440/10010] Time 0.332 (0.329) Data 0.001 (0.006) Loss 1.3790 (1.3411) Prec@1 68.750 (68.771) Prec@5 86.719 (87.071) Epoch: [75][450/10010] Time 0.321 (0.329) Data 0.001 (0.006) Loss 1.3956 (1.3424) Prec@1 64.844 (68.715) Prec@5 89.062 (87.065) Epoch: [75][460/10010] Time 0.337 (0.329) Data 0.001 (0.006) Loss 1.2578 (1.3405) Prec@1 75.000 (68.748) Prec@5 88.281 (87.088) Epoch: [75][470/10010] Time 0.331 (0.329) Data 0.000 (0.006) Loss 1.4275 (1.3407) Prec@1 65.625 (68.730) Prec@5 87.500 (87.074) Epoch: [75][480/10010] Time 0.332 (0.329) Data 0.000 (0.006) Loss 1.4125 (1.3412) Prec@1 64.844 (68.724) Prec@5 85.938 (87.071) Epoch: [75][490/10010] Time 0.329 (0.329) Data 0.001 (0.006) Loss 1.1537 (1.3420) Prec@1 75.781 (68.705) Prec@5 91.406 (87.067) Epoch: [75][500/10010] Time 0.329 (0.329) Data 0.001 (0.006) Loss 1.3212 (1.3417) Prec@1 69.531 (68.727) Prec@5 86.719 (87.070) Epoch: [75][510/10010] Time 0.337 (0.329) Data 0.000 (0.005) Loss 1.5246 (1.3410) Prec@1 66.406 (68.732) Prec@5 83.594 (87.087) Epoch: [75][520/10010] Time 0.324 (0.329) Data 0.001 (0.005) Loss 1.2244 (1.3416) Prec@1 75.000 (68.716) Prec@5 87.500 (87.076) Epoch: [75][530/10010] Time 0.330 (0.329) Data 0.001 (0.005) Loss 1.2513 (1.3417) Prec@1 64.062 (68.704) Prec@5 90.625 (87.082) Epoch: [75][540/10010] Time 0.340 (0.329) Data 0.001 (0.005) Loss 1.3890 (1.3419) Prec@1 71.875 (68.715) Prec@5 87.500 (87.075) Epoch: [75][550/10010] Time 0.319 (0.329) Data 0.001 (0.005) Loss 1.4430 (1.3421) Prec@1 58.594 (68.702) Prec@5 86.719 (87.070) Epoch: [75][560/10010] Time 0.332 (0.329) Data 0.001 (0.005) Loss 0.9918 (1.3422) Prec@1 76.562 (68.697) Prec@5 92.969 (87.077) Epoch: [75][570/10010] Time 0.334 (0.329) Data 0.001 (0.005) Loss 1.1419 (1.3426) Prec@1 75.000 (68.717) Prec@5 89.062 (87.059) Epoch: [75][580/10010] Time 0.341 (0.329) Data 0.000 (0.005) Loss 1.3689 (1.3432) Prec@1 64.844 (68.687) Prec@5 85.938 (87.052) Epoch: [75][590/10010] Time 0.320 (0.329) Data 0.001 (0.005) Loss 1.7005 (1.3459) Prec@1 61.719 (68.634) Prec@5 82.031 (87.016) Epoch: [75][600/10010] Time 0.321 (0.329) Data 0.001 (0.005) Loss 1.4427 (1.3468) Prec@1 66.406 (68.604) Prec@5 86.719 (86.994) Epoch: [75][610/10010] Time 0.320 (0.329) Data 0.000 (0.005) Loss 1.2132 (1.3462) Prec@1 67.188 (68.600) Prec@5 89.844 (87.006) Epoch: [75][620/10010] Time 0.320 (0.329) Data 0.000 (0.005) Loss 1.4184 (1.3455) Prec@1 65.625 (68.612) Prec@5 85.938 (87.029) Epoch: [75][630/10010] Time 0.342 (0.329) Data 0.001 (0.005) Loss 1.3942 (1.3457) Prec@1 66.406 (68.587) Prec@5 83.594 (87.032) Epoch: [75][640/10010] Time 0.338 (0.329) Data 0.001 (0.005) Loss 1.4860 (1.3453) Prec@1 64.844 (68.604) Prec@5 87.500 (87.062) Epoch: [75][650/10010] Time 0.318 (0.329) Data 0.001 (0.004) Loss 1.3614 (1.3449) Prec@1 69.531 (68.617) Prec@5 85.938 (87.063) Epoch: [75][660/10010] Time 0.315 (0.329) Data 0.001 (0.004) Loss 1.4493 (1.3458) Prec@1 63.281 (68.600) Prec@5 82.812 (87.046) Epoch: [75][670/10010] Time 0.323 (0.329) Data 0.000 (0.004) Loss 1.6138 (1.3451) Prec@1 60.156 (68.614) Prec@5 85.156 (87.061) Epoch: [75][680/10010] Time 0.317 (0.329) Data 0.001 (0.004) Loss 1.5645 (1.3466) Prec@1 65.625 (68.580) Prec@5 85.156 (87.030) Epoch: [75][690/10010] Time 0.322 (0.329) Data 0.001 (0.004) Loss 1.3404 (1.3469) Prec@1 64.844 (68.563) Prec@5 89.062 (87.012) Epoch: [75][700/10010] Time 0.334 (0.329) Data 0.001 (0.004) Loss 1.3540 (1.3477) Prec@1 61.719 (68.509) Prec@5 87.500 (87.003) Epoch: [75][710/10010] Time 0.323 (0.329) Data 0.001 (0.004) Loss 1.2393 (1.3482) Prec@1 72.656 (68.505) Prec@5 89.062 (86.998) Epoch: [75][720/10010] Time 0.322 (0.329) Data 0.001 (0.004) Loss 1.1329 (1.3476) Prec@1 75.000 (68.527) Prec@5 91.406 (87.005) Epoch: [75][730/10010] Time 0.327 (0.329) Data 0.001 (0.004) Loss 1.3519 (1.3470) Prec@1 67.969 (68.550) Prec@5 84.375 (87.009) Epoch: [75][740/10010] Time 0.316 (0.329) Data 0.001 (0.004) Loss 1.2985 (1.3478) Prec@1 69.531 (68.529) Prec@5 85.938 (87.004) Epoch: [75][750/10010] Time 0.321 (0.328) Data 0.001 (0.004) Loss 1.3507 (1.3475) Prec@1 68.750 (68.533) Prec@5 90.625 (87.018) Epoch: [75][760/10010] Time 0.323 (0.328) Data 0.000 (0.004) Loss 1.3583 (1.3487) Prec@1 68.750 (68.507) Prec@5 87.500 (87.008) Epoch: [75][770/10010] Time 0.309 (0.328) Data 0.001 (0.004) Loss 1.2093 (1.3484) Prec@1 76.562 (68.535) Prec@5 88.281 (86.999) Epoch: [75][780/10010] Time 0.317 (0.328) Data 0.001 (0.004) Loss 1.2529 (1.3494) Prec@1 71.094 (68.530) Prec@5 89.062 (86.985) Epoch: [75][790/10010] Time 0.326 (0.328) Data 0.000 (0.004) Loss 1.3844 (1.3496) Prec@1 66.406 (68.526) Prec@5 82.031 (86.982) Epoch: [75][800/10010] Time 0.327 (0.328) Data 0.001 (0.004) Loss 1.5952 (1.3498) Prec@1 65.625 (68.519) Prec@5 85.156 (86.983) Epoch: [75][810/10010] Time 0.319 (0.328) Data 0.001 (0.004) Loss 1.4513 (1.3512) Prec@1 67.969 (68.503) Prec@5 86.719 (86.965) Epoch: [75][820/10010] Time 0.312 (0.328) Data 0.001 (0.004) Loss 1.2927 (1.3500) Prec@1 70.312 (68.538) Prec@5 86.719 (86.985) Epoch: [75][830/10010] Time 0.315 (0.328) Data 0.001 (0.004) Loss 1.4740 (1.3498) Prec@1 62.500 (68.532) Prec@5 86.719 (86.997) Epoch: [75][840/10010] Time 0.316 (0.328) Data 0.001 (0.004) Loss 1.3035 (1.3491) Prec@1 68.750 (68.559) Prec@5 85.938 (86.993) Epoch: [75][850/10010] Time 0.334 (0.328) Data 0.000 (0.004) Loss 1.0973 (1.3493) Prec@1 75.000 (68.565) Prec@5 92.188 (86.995) Epoch: [75][860/10010] Time 0.326 (0.328) Data 0.001 (0.004) Loss 1.4262 (1.3503) Prec@1 67.188 (68.543) Prec@5 85.938 (86.974) Epoch: [75][870/10010] Time 0.317 (0.328) Data 0.001 (0.003) Loss 1.3417 (1.3504) Prec@1 67.188 (68.538) Prec@5 88.281 (86.973) Epoch: [75][880/10010] Time 0.336 (0.328) Data 0.000 (0.003) Loss 1.6652 (1.3513) Prec@1 59.375 (68.513) Prec@5 86.719 (86.964) Epoch: [75][890/10010] Time 0.326 (0.328) Data 0.001 (0.003) Loss 1.4086 (1.3517) Prec@1 71.094 (68.504) Prec@5 83.594 (86.951) Epoch: [75][900/10010] Time 0.314 (0.328) Data 0.001 (0.003) Loss 1.1706 (1.3520) Prec@1 67.969 (68.501) Prec@5 90.625 (86.944) Epoch: [75][910/10010] Time 0.329 (0.328) Data 0.001 (0.003) Loss 1.2840 (1.3527) Prec@1 74.219 (68.482) Prec@5 86.719 (86.931) Epoch: [75][920/10010] Time 0.317 (0.328) Data 0.000 (0.003) Loss 1.3543 (1.3522) Prec@1 71.094 (68.492) Prec@5 89.062 (86.944) Epoch: [75][930/10010] Time 0.336 (0.328) Data 0.001 (0.003) Loss 1.5081 (1.3519) Prec@1 67.188 (68.504) Prec@5 85.156 (86.948) Epoch: [75][940/10010] Time 0.318 (0.327) Data 0.001 (0.003) Loss 1.4430 (1.3521) Prec@1 64.844 (68.508) Prec@5 86.719 (86.950) Epoch: [75][950/10010] Time 0.329 (0.327) Data 0.000 (0.003) Loss 1.4977 (1.3525) Prec@1 69.531 (68.513) Prec@5 82.031 (86.947) Epoch: [75][960/10010] Time 0.322 (0.327) Data 0.001 (0.003) Loss 1.4054 (1.3523) Prec@1 67.188 (68.509) Prec@5 89.062 (86.955) Epoch: [75][970/10010] Time 0.315 (0.327) Data 0.001 (0.003) Loss 1.5129 (1.3526) Prec@1 64.062 (68.500) Prec@5 85.156 (86.948) Epoch: [75][980/10010] Time 0.327 (0.327) Data 0.001 (0.003) Loss 1.5420 (1.3531) Prec@1 60.156 (68.474) Prec@5 85.938 (86.944) Epoch: [75][990/10010] Time 0.327 (0.327) Data 0.001 (0.003) Loss 1.6219 (1.3536) Prec@1 62.500 (68.473) Prec@5 82.031 (86.939) Epoch: [75][1000/10010] Time 0.323 (0.327) Data 0.000 (0.003) Loss 1.5676 (1.3544) Prec@1 67.969 (68.462) Prec@5 85.938 (86.927) Epoch: [75][1010/10010] Time 0.324 (0.327) Data 0.001 (0.003) Loss 1.5318 (1.3550) Prec@1 59.375 (68.438) Prec@5 86.719 (86.921) Epoch: [75][1020/10010] Time 0.318 (0.327) Data 0.001 (0.003) Loss 1.3736 (1.3541) Prec@1 66.406 (68.462) Prec@5 87.500 (86.932) Epoch: [75][1030/10010] Time 0.319 (0.327) Data 0.000 (0.003) Loss 1.4108 (1.3543) Prec@1 71.094 (68.460) Prec@5 82.031 (86.923) Epoch: [75][1040/10010] Time 0.336 (0.327) Data 0.001 (0.003) Loss 1.3320 (1.3547) Prec@1 70.312 (68.469) Prec@5 86.719 (86.909) Epoch: [75][1050/10010] Time 0.319 (0.327) Data 0.000 (0.003) Loss 1.7366 (1.3560) Prec@1 59.375 (68.444) Prec@5 80.469 (86.888) Epoch: [75][1060/10010] Time 0.317 (0.327) Data 0.000 (0.003) Loss 1.4231 (1.3556) Prec@1 67.969 (68.453) Prec@5 83.594 (86.890) Epoch: [75][1070/10010] Time 0.337 (0.327) Data 0.001 (0.003) Loss 1.2787 (1.3559) Prec@1 68.750 (68.432) Prec@5 85.938 (86.881) Epoch: [75][1080/10010] Time 0.335 (0.327) Data 0.001 (0.003) Loss 1.3168 (1.3557) Prec@1 68.750 (68.438) Prec@5 89.844 (86.889) Epoch: [75][1090/10010] Time 0.337 (0.327) Data 0.001 (0.003) Loss 1.4289 (1.3552) Prec@1 67.969 (68.439) Prec@5 85.156 (86.898) Epoch: [75][1100/10010] Time 0.311 (0.327) Data 0.001 (0.003) Loss 1.3687 (1.3550) Prec@1 71.094 (68.449) Prec@5 85.938 (86.899) Epoch: [75][1110/10010] Time 0.334 (0.327) Data 0.001 (0.003) Loss 1.3803 (1.3545) Prec@1 67.188 (68.450) Prec@5 88.281 (86.909) Epoch: [75][1120/10010] Time 0.331 (0.327) Data 0.000 (0.003) Loss 1.5591 (1.3554) Prec@1 66.406 (68.432) Prec@5 83.594 (86.900) Epoch: [75][1130/10010] Time 0.333 (0.327) Data 0.001 (0.003) Loss 1.5382 (1.3559) Prec@1 62.500 (68.439) Prec@5 82.812 (86.892) Epoch: [75][1140/10010] Time 0.329 (0.327) Data 0.001 (0.003) Loss 1.7056 (1.3570) Prec@1 56.250 (68.416) Prec@5 85.156 (86.880) Epoch: [75][1150/10010] Time 0.333 (0.327) Data 0.001 (0.003) Loss 1.5673 (1.3570) Prec@1 64.844 (68.419) Prec@5 82.031 (86.874) Epoch: [75][1160/10010] Time 0.319 (0.327) Data 0.000 (0.003) Loss 1.1782 (1.3569) Prec@1 71.875 (68.407) Prec@5 89.062 (86.877) Epoch: [75][1170/10010] Time 0.322 (0.327) Data 0.000 (0.003) Loss 1.2181 (1.3572) Prec@1 67.188 (68.404) Prec@5 89.062 (86.870) Epoch: [75][1180/10010] Time 0.334 (0.327) Data 0.001 (0.003) Loss 1.4489 (1.3564) Prec@1 66.406 (68.425) Prec@5 85.938 (86.879) Epoch: [75][1190/10010] Time 0.318 (0.327) Data 0.000 (0.003) Loss 1.2635 (1.3566) Prec@1 76.562 (68.425) Prec@5 87.500 (86.883) Epoch: [75][1200/10010] Time 0.340 (0.327) Data 0.001 (0.003) Loss 1.1937 (1.3556) Prec@1 68.750 (68.450) Prec@5 89.062 (86.896) Epoch: [75][1210/10010] Time 0.312 (0.327) Data 0.001 (0.003) Loss 1.3425 (1.3559) Prec@1 70.312 (68.462) Prec@5 87.500 (86.897) Epoch: [75][1220/10010] Time 0.333 (0.327) Data 0.001 (0.003) Loss 1.3069 (1.3556) Prec@1 70.312 (68.471) Prec@5 86.719 (86.893) Epoch: [75][1230/10010] Time 0.316 (0.327) Data 0.001 (0.003) Loss 1.4117 (1.3555) Prec@1 71.094 (68.480) Prec@5 82.812 (86.899) Epoch: [75][1240/10010] Time 0.339 (0.327) Data 0.000 (0.003) Loss 1.2283 (1.3556) Prec@1 74.219 (68.479) Prec@5 85.938 (86.899) Epoch: [75][1250/10010] Time 0.324 (0.327) Data 0.001 (0.003) Loss 1.3822 (1.3554) Prec@1 69.531 (68.485) Prec@5 86.719 (86.895) Epoch: [75][1260/10010] Time 0.321 (0.327) Data 0.000 (0.003) Loss 1.3147 (1.3557) Prec@1 70.312 (68.474) Prec@5 89.062 (86.893) Epoch: [75][1270/10010] Time 0.327 (0.327) Data 0.001 (0.003) Loss 1.5350 (1.3565) Prec@1 63.281 (68.454) Prec@5 86.719 (86.885) Epoch: [75][1280/10010] Time 0.319 (0.327) Data 0.001 (0.003) Loss 1.4372 (1.3572) Prec@1 67.969 (68.443) Prec@5 86.719 (86.876) Epoch: [75][1290/10010] Time 0.328 (0.327) Data 0.001 (0.003) Loss 1.4495 (1.3580) Prec@1 67.188 (68.437) Prec@5 88.281 (86.871) Epoch: [75][1300/10010] Time 0.335 (0.327) Data 0.001 (0.003) Loss 1.1539 (1.3579) Prec@1 72.656 (68.437) Prec@5 89.844 (86.868) Epoch: [75][1310/10010] Time 0.323 (0.327) Data 0.001 (0.003) Loss 1.3580 (1.3578) Prec@1 70.312 (68.441) Prec@5 89.844 (86.865) Epoch: [75][1320/10010] Time 0.324 (0.327) Data 0.001 (0.003) Loss 1.2742 (1.3578) Prec@1 71.875 (68.447) Prec@5 88.281 (86.866) Epoch: [75][1330/10010] Time 0.324 (0.327) Data 0.000 (0.003) Loss 1.3725 (1.3578) Prec@1 68.750 (68.462) Prec@5 86.719 (86.867) Epoch: [75][1340/10010] Time 0.318 (0.327) Data 0.001 (0.002) Loss 1.2803 (1.3579) Prec@1 71.094 (68.479) Prec@5 89.844 (86.865) Epoch: [75][1350/10010] Time 0.336 (0.327) Data 0.000 (0.002) Loss 1.4971 (1.3580) Prec@1 67.188 (68.475) Prec@5 82.812 (86.862) Epoch: [75][1360/10010] Time 0.317 (0.326) Data 0.001 (0.002) Loss 1.1080 (1.3577) Prec@1 70.312 (68.488) Prec@5 91.406 (86.870) Epoch: [75][1370/10010] Time 0.313 (0.326) Data 0.001 (0.002) Loss 1.4870 (1.3578) Prec@1 65.625 (68.479) Prec@5 83.594 (86.871) Epoch: [75][1380/10010] Time 0.328 (0.326) Data 0.001 (0.002) Loss 1.1910 (1.3571) Prec@1 72.656 (68.495) Prec@5 89.062 (86.888) Epoch: [75][1390/10010] Time 0.318 (0.326) Data 0.001 (0.002) Loss 1.1831 (1.3570) Prec@1 70.312 (68.495) Prec@5 85.938 (86.882) Epoch: [75][1400/10010] Time 0.323 (0.326) Data 0.001 (0.002) Loss 1.3749 (1.3560) Prec@1 60.938 (68.509) Prec@5 88.281 (86.898) Epoch: [75][1410/10010] Time 0.319 (0.326) Data 0.001 (0.002) Loss 1.2358 (1.3557) Prec@1 71.875 (68.517) Prec@5 88.281 (86.900) Epoch: [75][1420/10010] Time 0.320 (0.326) Data 0.001 (0.002) Loss 1.4062 (1.3561) Prec@1 64.062 (68.514) Prec@5 88.281 (86.891) Epoch: [75][1430/10010] Time 0.320 (0.326) Data 0.001 (0.002) Loss 1.2666 (1.3565) Prec@1 71.875 (68.513) Prec@5 88.281 (86.887) Epoch: [75][1440/10010] Time 0.313 (0.326) Data 0.001 (0.002) Loss 1.0570 (1.3567) Prec@1 73.438 (68.500) Prec@5 91.406 (86.878) Epoch: [75][1450/10010] Time 0.337 (0.326) Data 0.001 (0.002) Loss 1.8845 (1.3566) Prec@1 64.844 (68.512) Prec@5 81.250 (86.877) Epoch: [75][1460/10010] Time 0.321 (0.326) Data 0.000 (0.002) Loss 1.2062 (1.3566) Prec@1 70.312 (68.513) Prec@5 88.281 (86.874) Epoch: [75][1470/10010] Time 0.326 (0.326) Data 0.000 (0.002) Loss 1.4052 (1.3570) Prec@1 70.312 (68.508) Prec@5 87.500 (86.865) Epoch: [75][1480/10010] Time 0.322 (0.326) Data 0.001 (0.002) Loss 1.0267 (1.3569) Prec@1 73.438 (68.503) Prec@5 92.188 (86.869) Epoch: [75][1490/10010] Time 0.339 (0.326) Data 0.001 (0.002) Loss 1.4284 (1.3572) Prec@1 67.188 (68.504) Prec@5 85.156 (86.864) Epoch: [75][1500/10010] Time 0.319 (0.326) Data 0.001 (0.002) Loss 1.4994 (1.3570) Prec@1 64.062 (68.512) Prec@5 85.156 (86.872) Epoch: [75][1510/10010] Time 0.320 (0.326) Data 0.001 (0.002) Loss 1.2885 (1.3564) Prec@1 70.312 (68.527) Prec@5 89.062 (86.881) Epoch: [75][1520/10010] Time 0.321 (0.326) Data 0.001 (0.002) Loss 1.5217 (1.3562) Prec@1 62.500 (68.527) Prec@5 82.031 (86.882) Epoch: [75][1530/10010] Time 0.314 (0.326) Data 0.001 (0.002) Loss 1.5473 (1.3560) Prec@1 61.719 (68.525) Prec@5 81.250 (86.888) Epoch: [75][1540/10010] Time 0.323 (0.326) Data 0.001 (0.002) Loss 1.3665 (1.3560) Prec@1 64.062 (68.518) Prec@5 84.375 (86.891) Epoch: [75][1550/10010] Time 0.326 (0.326) Data 0.000 (0.002) Loss 1.3483 (1.3557) Prec@1 66.406 (68.523) Prec@5 85.156 (86.891) Epoch: [75][1560/10010] Time 0.336 (0.326) Data 0.001 (0.002) Loss 1.4076 (1.3558) Prec@1 67.969 (68.524) Prec@5 86.719 (86.888) Epoch: [75][1570/10010] Time 0.332 (0.326) Data 0.001 (0.002) Loss 1.2891 (1.3558) Prec@1 68.750 (68.512) Prec@5 88.281 (86.887) Epoch: [75][1580/10010] Time 0.338 (0.326) Data 0.001 (0.002) Loss 1.4832 (1.3559) Prec@1 69.531 (68.519) Prec@5 84.375 (86.893) Epoch: [75][1590/10010] Time 0.317 (0.326) Data 0.001 (0.002) Loss 1.2949 (1.3561) Prec@1 73.438 (68.524) Prec@5 86.719 (86.892) Epoch: [75][1600/10010] Time 0.323 (0.326) Data 0.001 (0.002) Loss 1.4556 (1.3563) Prec@1 65.625 (68.517) Prec@5 84.375 (86.890) Epoch: [75][1610/10010] Time 0.330 (0.326) Data 0.001 (0.002) Loss 1.1586 (1.3560) Prec@1 65.625 (68.518) Prec@5 89.062 (86.896) Epoch: [75][1620/10010] Time 0.342 (0.326) Data 0.000 (0.002) Loss 1.3381 (1.3563) Prec@1 68.750 (68.516) Prec@5 86.719 (86.888) Epoch: [75][1630/10010] Time 0.335 (0.326) Data 0.001 (0.002) Loss 1.2420 (1.3563) Prec@1 66.406 (68.509) Prec@5 85.938 (86.893) Epoch: [75][1640/10010] Time 0.315 (0.326) Data 0.001 (0.002) Loss 1.2696 (1.3564) Prec@1 71.875 (68.507) Prec@5 89.062 (86.894) Epoch: [75][1650/10010] Time 0.335 (0.326) Data 0.001 (0.002) Loss 1.5185 (1.3567) Prec@1 67.969 (68.496) Prec@5 85.156 (86.890) Epoch: [75][1660/10010] Time 0.331 (0.326) Data 0.001 (0.002) Loss 1.1807 (1.3558) Prec@1 72.656 (68.516) Prec@5 89.844 (86.905) Epoch: [75][1670/10010] Time 0.330 (0.326) Data 0.001 (0.002) Loss 1.1916 (1.3561) Prec@1 71.875 (68.512) Prec@5 89.844 (86.899) Epoch: [75][1680/10010] Time 0.341 (0.326) Data 0.000 (0.002) Loss 1.4798 (1.3562) Prec@1 67.969 (68.515) Prec@5 86.719 (86.898) Epoch: [75][1690/10010] Time 0.323 (0.326) Data 0.001 (0.002) Loss 1.2545 (1.3560) Prec@1 71.094 (68.518) Prec@5 84.375 (86.902) Epoch: [75][1700/10010] Time 0.325 (0.326) Data 0.001 (0.002) Loss 1.4667 (1.3563) Prec@1 70.312 (68.523) Prec@5 84.375 (86.892) Epoch: [75][1710/10010] Time 0.335 (0.326) Data 0.001 (0.002) Loss 1.1707 (1.3564) Prec@1 71.875 (68.514) Prec@5 88.281 (86.890) Epoch: [75][1720/10010] Time 0.324 (0.326) Data 0.001 (0.002) Loss 1.2223 (1.3569) Prec@1 71.094 (68.504) Prec@5 87.500 (86.879) Epoch: [75][1730/10010] Time 0.341 (0.326) Data 0.001 (0.002) Loss 1.4482 (1.3563) Prec@1 62.500 (68.509) Prec@5 89.062 (86.887) Epoch: [75][1740/10010] Time 0.334 (0.326) Data 0.001 (0.002) Loss 1.4648 (1.3569) Prec@1 63.281 (68.491) Prec@5 86.719 (86.883) Epoch: [75][1750/10010] Time 0.315 (0.326) Data 0.001 (0.002) Loss 1.2206 (1.3567) Prec@1 75.781 (68.504) Prec@5 87.500 (86.890) Epoch: [75][1760/10010] Time 0.324 (0.326) Data 0.000 (0.002) Loss 1.3565 (1.3565) Prec@1 64.844 (68.496) Prec@5 85.938 (86.894) Epoch: [75][1770/10010] Time 0.316 (0.326) Data 0.001 (0.002) Loss 1.2085 (1.3567) Prec@1 67.188 (68.492) Prec@5 88.281 (86.886) Epoch: [75][1780/10010] Time 0.317 (0.326) Data 0.001 (0.002) Loss 1.4407 (1.3569) Prec@1 67.188 (68.499) Prec@5 84.375 (86.882) Epoch: [75][1790/10010] Time 0.316 (0.326) Data 0.001 (0.002) Loss 1.2137 (1.3567) Prec@1 73.438 (68.502) Prec@5 89.062 (86.883) Epoch: [75][1800/10010] Time 0.315 (0.326) Data 0.001 (0.002) Loss 1.2914 (1.3565) Prec@1 71.094 (68.511) Prec@5 86.719 (86.884) Epoch: [75][1810/10010] Time 0.317 (0.326) Data 0.001 (0.002) Loss 1.3639 (1.3566) Prec@1 68.750 (68.509) Prec@5 85.156 (86.885) Epoch: [75][1820/10010] Time 0.333 (0.326) Data 0.001 (0.002) Loss 1.4211 (1.3565) Prec@1 63.281 (68.513) Prec@5 86.719 (86.888) Epoch: [75][1830/10010] Time 0.316 (0.326) Data 0.000 (0.002) Loss 1.3382 (1.3565) Prec@1 70.312 (68.520) Prec@5 86.719 (86.883) Epoch: [75][1840/10010] Time 0.337 (0.326) Data 0.001 (0.002) Loss 1.7226 (1.3570) Prec@1 64.844 (68.510) Prec@5 78.125 (86.870) Epoch: [75][1850/10010] Time 0.338 (0.326) Data 0.001 (0.002) Loss 1.3167 (1.3571) Prec@1 67.969 (68.512) Prec@5 85.156 (86.868) Epoch: [75][1860/10010] Time 0.324 (0.326) Data 0.001 (0.002) Loss 1.0937 (1.3569) Prec@1 75.781 (68.513) Prec@5 91.406 (86.876) Epoch: [75][1870/10010] Time 0.344 (0.326) Data 0.000 (0.002) Loss 1.3345 (1.3570) Prec@1 68.750 (68.517) Prec@5 86.719 (86.874) Epoch: [75][1880/10010] Time 0.342 (0.326) Data 0.000 (0.002) Loss 1.5128 (1.3569) Prec@1 66.406 (68.520) Prec@5 84.375 (86.872) Epoch: [75][1890/10010] Time 0.330 (0.326) Data 0.001 (0.002) Loss 1.4396 (1.3567) Prec@1 65.625 (68.531) Prec@5 87.500 (86.876) Epoch: [75][1900/10010] Time 0.339 (0.326) Data 0.000 (0.002) Loss 1.1562 (1.3565) Prec@1 76.562 (68.538) Prec@5 89.844 (86.876) Epoch: [75][1910/10010] Time 0.316 (0.326) Data 0.001 (0.002) Loss 1.2768 (1.3566) Prec@1 70.312 (68.538) Prec@5 89.062 (86.873) Epoch: [75][1920/10010] Time 0.321 (0.326) Data 0.001 (0.002) Loss 1.2500 (1.3564) Prec@1 70.312 (68.551) Prec@5 87.500 (86.872) Epoch: [75][1930/10010] Time 0.312 (0.326) Data 0.000 (0.002) Loss 1.4056 (1.3566) Prec@1 65.625 (68.546) Prec@5 84.375 (86.877) Epoch: [75][1940/10010] Time 0.319 (0.326) Data 0.001 (0.002) Loss 1.0338 (1.3564) Prec@1 71.094 (68.542) Prec@5 90.625 (86.880) Epoch: [75][1950/10010] Time 0.319 (0.326) Data 0.001 (0.002) Loss 1.5315 (1.3567) Prec@1 67.188 (68.533) Prec@5 80.469 (86.872) Epoch: [75][1960/10010] Time 0.316 (0.326) Data 0.001 (0.002) Loss 1.0499 (1.3568) Prec@1 75.781 (68.531) Prec@5 91.406 (86.875) Epoch: [75][1970/10010] Time 0.325 (0.326) Data 0.000 (0.002) Loss 1.4330 (1.3571) Prec@1 64.844 (68.521) Prec@5 87.500 (86.873) Epoch: [75][1980/10010] Time 0.316 (0.326) Data 0.001 (0.002) Loss 1.4129 (1.3571) Prec@1 66.406 (68.527) Prec@5 84.375 (86.868) Epoch: [75][1990/10010] Time 0.334 (0.326) Data 0.001 (0.002) Loss 1.3540 (1.3572) Prec@1 66.406 (68.524) Prec@5 87.500 (86.864) Epoch: [75][2000/10010] Time 0.317 (0.326) Data 0.001 (0.002) Loss 1.7196 (1.3573) Prec@1 63.281 (68.523) Prec@5 85.156 (86.870) Epoch: [75][2010/10010] Time 0.314 (0.326) Data 0.001 (0.002) Loss 1.0393 (1.3570) Prec@1 75.781 (68.530) Prec@5 93.750 (86.873) Epoch: [75][2020/10010] Time 0.316 (0.326) Data 0.001 (0.002) Loss 1.2688 (1.3575) Prec@1 70.312 (68.522) Prec@5 89.062 (86.864) Epoch: [75][2030/10010] Time 0.327 (0.326) Data 0.001 (0.002) Loss 0.9397 (1.3565) Prec@1 76.562 (68.538) Prec@5 94.531 (86.880) Epoch: [75][2040/10010] Time 0.312 (0.326) Data 0.001 (0.002) Loss 1.2647 (1.3563) Prec@1 69.531 (68.544) Prec@5 86.719 (86.878) Epoch: [75][2050/10010] Time 0.338 (0.326) Data 0.001 (0.002) Loss 1.1300 (1.3561) Prec@1 68.750 (68.545) Prec@5 92.969 (86.883) Epoch: [75][2060/10010] Time 0.337 (0.326) Data 0.001 (0.002) Loss 1.3647 (1.3563) Prec@1 67.969 (68.539) Prec@5 87.500 (86.879) Epoch: [75][2070/10010] Time 0.320 (0.326) Data 0.001 (0.002) Loss 1.4336 (1.3563) Prec@1 67.188 (68.536) Prec@5 88.281 (86.878) Epoch: [75][2080/10010] Time 0.324 (0.326) Data 0.001 (0.002) Loss 1.5592 (1.3562) Prec@1 66.406 (68.537) Prec@5 82.031 (86.877) Epoch: [75][2090/10010] Time 0.325 (0.326) Data 0.001 (0.002) Loss 1.1159 (1.3563) Prec@1 71.875 (68.536) Prec@5 90.625 (86.877) Epoch: [75][2100/10010] Time 0.319 (0.326) Data 0.001 (0.002) Loss 1.4985 (1.3561) Prec@1 64.062 (68.543) Prec@5 87.500 (86.880) Epoch: [75][2110/10010] Time 0.329 (0.326) Data 0.000 (0.002) Loss 1.3277 (1.3560) Prec@1 65.625 (68.538) Prec@5 89.844 (86.884) Epoch: [75][2120/10010] Time 0.325 (0.326) Data 0.000 (0.002) Loss 1.3718 (1.3557) Prec@1 72.656 (68.547) Prec@5 85.938 (86.892) Epoch: [75][2130/10010] Time 0.322 (0.326) Data 0.001 (0.002) Loss 1.3361 (1.3560) Prec@1 68.750 (68.538) Prec@5 85.938 (86.890) Epoch: [75][2140/10010] Time 0.313 (0.326) Data 0.001 (0.002) Loss 1.4005 (1.3562) Prec@1 68.750 (68.525) Prec@5 87.500 (86.891) Epoch: [75][2150/10010] Time 0.329 (0.326) Data 0.001 (0.002) Loss 1.2482 (1.3563) Prec@1 75.000 (68.524) Prec@5 87.500 (86.889) Epoch: [75][2160/10010] Time 0.317 (0.326) Data 0.000 (0.002) Loss 1.3284 (1.3561) Prec@1 64.844 (68.518) Prec@5 89.062 (86.896) Epoch: [75][2170/10010] Time 0.322 (0.326) Data 0.001 (0.002) Loss 1.3541 (1.3562) Prec@1 74.219 (68.518) Prec@5 84.375 (86.897) Epoch: [75][2180/10010] Time 0.314 (0.326) Data 0.001 (0.002) Loss 1.1291 (1.3563) Prec@1 78.125 (68.517) Prec@5 88.281 (86.890) Epoch: [75][2190/10010] Time 0.321 (0.326) Data 0.001 (0.002) Loss 1.3602 (1.3562) Prec@1 66.406 (68.514) Prec@5 88.281 (86.893) Epoch: [75][2200/10010] Time 0.322 (0.326) Data 0.001 (0.002) Loss 1.3546 (1.3560) Prec@1 70.312 (68.519) Prec@5 84.375 (86.895) Epoch: [75][2210/10010] Time 0.319 (0.326) Data 0.001 (0.002) Loss 1.1574 (1.3561) Prec@1 71.094 (68.522) Prec@5 91.406 (86.894) Epoch: [75][2220/10010] Time 0.337 (0.326) Data 0.001 (0.002) Loss 1.7205 (1.3562) Prec@1 61.719 (68.521) Prec@5 85.938 (86.895) Epoch: [75][2230/10010] Time 0.317 (0.326) Data 0.001 (0.002) Loss 1.2585 (1.3559) Prec@1 78.125 (68.532) Prec@5 88.281 (86.897) Epoch: [75][2240/10010] Time 0.330 (0.326) Data 0.000 (0.002) Loss 1.5983 (1.3566) Prec@1 65.625 (68.522) Prec@5 82.812 (86.888) Epoch: [75][2250/10010] Time 0.338 (0.326) Data 0.001 (0.002) Loss 1.3693 (1.3567) Prec@1 66.406 (68.522) Prec@5 88.281 (86.884) Epoch: [75][2260/10010] Time 0.330 (0.326) Data 0.001 (0.002) Loss 1.5040 (1.3565) Prec@1 58.594 (68.518) Prec@5 82.812 (86.888) Epoch: [75][2270/10010] Time 0.320 (0.326) Data 0.001 (0.002) Loss 1.4024 (1.3564) Prec@1 65.625 (68.522) Prec@5 85.156 (86.886) Epoch: [75][2280/10010] Time 0.320 (0.326) Data 0.001 (0.002) Loss 1.2743 (1.3566) Prec@1 71.094 (68.525) Prec@5 87.500 (86.885) Epoch: [75][2290/10010] Time 0.329 (0.326) Data 0.000 (0.002) Loss 1.2596 (1.3564) Prec@1 70.312 (68.533) Prec@5 85.938 (86.886) Epoch: [75][2300/10010] Time 0.316 (0.326) Data 0.001 (0.002) Loss 1.1736 (1.3565) Prec@1 71.875 (68.530) Prec@5 87.500 (86.882) Epoch: [75][2310/10010] Time 0.337 (0.326) Data 0.001 (0.002) Loss 1.3450 (1.3567) Prec@1 71.094 (68.524) Prec@5 87.500 (86.880) Epoch: [75][2320/10010] Time 0.327 (0.326) Data 0.001 (0.002) Loss 1.2888 (1.3567) Prec@1 70.312 (68.521) Prec@5 88.281 (86.883) Epoch: [75][2330/10010] Time 0.318 (0.326) Data 0.001 (0.002) Loss 1.4079 (1.3565) Prec@1 66.406 (68.522) Prec@5 84.375 (86.883) Epoch: [75][2340/10010] Time 0.315 (0.326) Data 0.001 (0.002) Loss 1.3573 (1.3567) Prec@1 71.094 (68.520) Prec@5 85.938 (86.881) Epoch: [75][2350/10010] Time 0.317 (0.326) Data 0.000 (0.002) Loss 1.3856 (1.3572) Prec@1 70.312 (68.512) Prec@5 83.594 (86.874) Epoch: [75][2360/10010] Time 0.323 (0.326) Data 0.001 (0.002) Loss 1.4542 (1.3572) Prec@1 66.406 (68.511) Prec@5 88.281 (86.875) Epoch: [75][2370/10010] Time 0.320 (0.326) Data 0.000 (0.002) Loss 1.4833 (1.3570) Prec@1 67.188 (68.510) Prec@5 85.156 (86.876) Epoch: [75][2380/10010] Time 0.322 (0.326) Data 0.001 (0.002) Loss 1.0897 (1.3570) Prec@1 71.094 (68.517) Prec@5 90.625 (86.875) Epoch: [75][2390/10010] Time 0.318 (0.326) Data 0.001 (0.002) Loss 1.5975 (1.3573) Prec@1 65.625 (68.506) Prec@5 82.031 (86.870) Epoch: [75][2400/10010] Time 0.340 (0.326) Data 0.000 (0.002) Loss 1.4162 (1.3575) Prec@1 67.188 (68.501) Prec@5 82.812 (86.868) Epoch: [75][2410/10010] Time 0.312 (0.326) Data 0.001 (0.002) Loss 1.4175 (1.3576) Prec@1 68.750 (68.502) Prec@5 88.281 (86.867) Epoch: [75][2420/10010] Time 0.326 (0.326) Data 0.000 (0.002) Loss 1.2471 (1.3575) Prec@1 66.406 (68.499) Prec@5 86.719 (86.870) Epoch: [75][2430/10010] Time 0.335 (0.326) Data 0.001 (0.002) Loss 1.1759 (1.3577) Prec@1 73.438 (68.495) Prec@5 88.281 (86.866) Epoch: [75][2440/10010] Time 0.314 (0.326) Data 0.001 (0.002) Loss 1.2683 (1.3576) Prec@1 64.062 (68.491) Prec@5 90.625 (86.869) Epoch: [75][2450/10010] Time 0.322 (0.326) Data 0.001 (0.002) Loss 1.5270 (1.3578) Prec@1 68.750 (68.491) Prec@5 85.938 (86.869) Epoch: [75][2460/10010] Time 0.338 (0.326) Data 0.000 (0.002) Loss 1.1932 (1.3579) Prec@1 71.875 (68.490) Prec@5 90.625 (86.869) Epoch: [75][2470/10010] Time 0.315 (0.326) Data 0.001 (0.002) Loss 1.4738 (1.3579) Prec@1 67.969 (68.486) Prec@5 85.156 (86.868) Epoch: [75][2480/10010] Time 0.316 (0.326) Data 0.001 (0.002) Loss 1.2622 (1.3579) Prec@1 74.219 (68.488) Prec@5 89.062 (86.869) Epoch: [75][2490/10010] Time 0.325 (0.326) Data 0.001 (0.002) Loss 1.2607 (1.3583) Prec@1 67.969 (68.481) Prec@5 87.500 (86.862) Epoch: [75][2500/10010] Time 0.330 (0.326) Data 0.000 (0.002) Loss 1.3809 (1.3584) Prec@1 71.094 (68.478) Prec@5 85.938 (86.858) Epoch: [75][2510/10010] Time 0.326 (0.326) Data 0.001 (0.002) Loss 1.3681 (1.3585) Prec@1 65.625 (68.475) Prec@5 92.188 (86.856) Epoch: [75][2520/10010] Time 0.318 (0.326) Data 0.001 (0.002) Loss 1.5711 (1.3583) Prec@1 69.531 (68.484) Prec@5 82.031 (86.860) Epoch: [75][2530/10010] Time 0.325 (0.326) Data 0.000 (0.002) Loss 1.3216 (1.3583) Prec@1 65.625 (68.485) Prec@5 88.281 (86.859) Epoch: [75][2540/10010] Time 0.340 (0.326) Data 0.000 (0.002) Loss 1.6012 (1.3582) Prec@1 61.719 (68.491) Prec@5 81.250 (86.853) Epoch: [75][2550/10010] Time 0.321 (0.326) Data 0.000 (0.002) Loss 1.4844 (1.3582) Prec@1 67.969 (68.485) Prec@5 84.375 (86.851) Epoch: [75][2560/10010] Time 0.329 (0.326) Data 0.001 (0.002) Loss 1.4806 (1.3587) Prec@1 64.844 (68.476) Prec@5 84.375 (86.843) Epoch: [75][2570/10010] Time 0.318 (0.326) Data 0.001 (0.002) Loss 1.1501 (1.3587) Prec@1 78.906 (68.476) Prec@5 89.062 (86.842) Epoch: [75][2580/10010] Time 0.320 (0.326) Data 0.000 (0.002) Loss 1.4164 (1.3589) Prec@1 65.625 (68.472) Prec@5 83.594 (86.838) Epoch: [75][2590/10010] Time 0.317 (0.326) Data 0.001 (0.002) Loss 1.3300 (1.3590) Prec@1 67.969 (68.470) Prec@5 86.719 (86.837) Epoch: [75][2600/10010] Time 0.325 (0.326) Data 0.001 (0.002) Loss 1.1756 (1.3591) Prec@1 71.094 (68.464) Prec@5 87.500 (86.836) Epoch: [75][2610/10010] Time 0.338 (0.326) Data 0.001 (0.002) Loss 1.3429 (1.3590) Prec@1 62.500 (68.462) Prec@5 86.719 (86.836) Epoch: [75][2620/10010] Time 0.330 (0.326) Data 0.001 (0.002) Loss 1.4855 (1.3588) Prec@1 65.625 (68.467) Prec@5 85.938 (86.839) Epoch: [75][2630/10010] Time 0.326 (0.326) Data 0.001 (0.002) Loss 1.2099 (1.3588) Prec@1 70.312 (68.462) Prec@5 89.844 (86.843) Epoch: [75][2640/10010] Time 0.330 (0.326) Data 0.000 (0.002) Loss 1.8036 (1.3589) Prec@1 61.719 (68.463) Prec@5 78.906 (86.843) Epoch: [75][2650/10010] Time 0.318 (0.326) Data 0.001 (0.002) Loss 1.1505 (1.3592) Prec@1 72.656 (68.460) Prec@5 88.281 (86.839) Epoch: [75][2660/10010] Time 0.339 (0.326) Data 0.000 (0.002) Loss 1.2135 (1.3591) Prec@1 71.094 (68.462) Prec@5 89.844 (86.841) Epoch: [75][2670/10010] Time 0.334 (0.326) Data 0.001 (0.002) Loss 1.1946 (1.3589) Prec@1 68.750 (68.467) Prec@5 89.844 (86.846) Epoch: [75][2680/10010] Time 0.318 (0.326) Data 0.001 (0.002) Loss 1.3439 (1.3587) Prec@1 69.531 (68.469) Prec@5 89.062 (86.851) Epoch: [75][2690/10010] Time 0.320 (0.326) Data 0.000 (0.002) Loss 1.5209 (1.3588) Prec@1 65.625 (68.467) Prec@5 82.812 (86.847) Epoch: [75][2700/10010] Time 0.323 (0.326) Data 0.000 (0.002) Loss 1.5315 (1.3588) Prec@1 65.625 (68.468) Prec@5 85.938 (86.852) Epoch: [75][2710/10010] Time 0.315 (0.326) Data 0.001 (0.002) Loss 1.4541 (1.3588) Prec@1 68.750 (68.469) Prec@5 82.031 (86.853) Epoch: [75][2720/10010] Time 0.318 (0.326) Data 0.001 (0.002) Loss 1.6046 (1.3588) Prec@1 57.812 (68.467) Prec@5 85.156 (86.853) Epoch: [75][2730/10010] Time 0.320 (0.326) Data 0.001 (0.002) Loss 1.4027 (1.3588) Prec@1 64.062 (68.467) Prec@5 89.844 (86.855) Epoch: [75][2740/10010] Time 0.336 (0.326) Data 0.000 (0.002) Loss 1.1862 (1.3585) Prec@1 73.438 (68.470) Prec@5 87.500 (86.856) Epoch: [75][2750/10010] Time 0.338 (0.326) Data 0.000 (0.002) Loss 1.2960 (1.3586) Prec@1 69.531 (68.471) Prec@5 89.062 (86.856) Epoch: [75][2760/10010] Time 0.333 (0.326) Data 0.001 (0.002) Loss 1.2311 (1.3585) Prec@1 69.531 (68.471) Prec@5 87.500 (86.857) Epoch: [75][2770/10010] Time 0.336 (0.326) Data 0.001 (0.002) Loss 1.2454 (1.3583) Prec@1 68.750 (68.475) Prec@5 89.844 (86.859) Epoch: [75][2780/10010] Time 0.336 (0.326) Data 0.000 (0.002) Loss 1.2560 (1.3579) Prec@1 72.656 (68.486) Prec@5 89.844 (86.864) Epoch: [75][2790/10010] Time 0.331 (0.326) Data 0.001 (0.002) Loss 1.6123 (1.3583) Prec@1 63.281 (68.478) Prec@5 82.812 (86.856) Epoch: [75][2800/10010] Time 0.322 (0.326) Data 0.000 (0.002) Loss 1.5691 (1.3585) Prec@1 65.625 (68.471) Prec@5 85.156 (86.854) Epoch: [75][2810/10010] Time 0.318 (0.326) Data 0.001 (0.002) Loss 1.3380 (1.3585) Prec@1 71.094 (68.472) Prec@5 85.938 (86.852) Epoch: [75][2820/10010] Time 0.345 (0.326) Data 0.000 (0.002) Loss 1.3314 (1.3583) Prec@1 67.969 (68.477) Prec@5 85.938 (86.851) Epoch: [75][2830/10010] Time 0.329 (0.326) Data 0.001 (0.002) Loss 1.0465 (1.3582) Prec@1 71.094 (68.482) Prec@5 89.844 (86.849) Epoch: [75][2840/10010] Time 0.339 (0.326) Data 0.000 (0.002) Loss 1.4927 (1.3581) Prec@1 67.969 (68.485) Prec@5 85.156 (86.849) Epoch: [75][2850/10010] Time 0.313 (0.326) Data 0.001 (0.002) Loss 1.0829 (1.3581) Prec@1 71.094 (68.482) Prec@5 90.625 (86.849) Epoch: [75][2860/10010] Time 0.345 (0.326) Data 0.000 (0.002) Loss 1.2837 (1.3579) Prec@1 67.969 (68.489) Prec@5 89.062 (86.853) Epoch: [75][2870/10010] Time 0.330 (0.326) Data 0.001 (0.002) Loss 1.6069 (1.3578) Prec@1 60.156 (68.489) Prec@5 82.812 (86.856) Epoch: [75][2880/10010] Time 0.320 (0.326) Data 0.001 (0.002) Loss 1.3935 (1.3580) Prec@1 63.281 (68.478) Prec@5 85.938 (86.857) Epoch: [75][2890/10010] Time 0.322 (0.326) Data 0.001 (0.002) Loss 1.3657 (1.3583) Prec@1 65.625 (68.469) Prec@5 85.938 (86.856) Epoch: [75][2900/10010] Time 0.314 (0.326) Data 0.001 (0.002) Loss 1.2812 (1.3582) Prec@1 71.094 (68.469) Prec@5 85.156 (86.856) Epoch: [75][2910/10010] Time 0.313 (0.326) Data 0.001 (0.002) Loss 1.2890 (1.3581) Prec@1 67.188 (68.467) Prec@5 84.375 (86.857) Epoch: [75][2920/10010] Time 0.312 (0.326) Data 0.001 (0.002) Loss 1.1802 (1.3582) Prec@1 72.656 (68.463) Prec@5 89.062 (86.858) Epoch: [75][2930/10010] Time 0.316 (0.326) Data 0.001 (0.002) Loss 1.5388 (1.3583) Prec@1 69.531 (68.461) Prec@5 85.156 (86.855) Epoch: [75][2940/10010] Time 0.331 (0.326) Data 0.000 (0.001) Loss 1.1921 (1.3583) Prec@1 70.312 (68.456) Prec@5 87.500 (86.853) Epoch: [75][2950/10010] Time 0.319 (0.326) Data 0.001 (0.001) Loss 1.1292 (1.3585) Prec@1 78.125 (68.449) Prec@5 88.281 (86.852) Epoch: [75][2960/10010] Time 0.312 (0.326) Data 0.001 (0.001) Loss 1.4005 (1.3582) Prec@1 68.750 (68.454) Prec@5 84.375 (86.858) Epoch: [75][2970/10010] Time 0.317 (0.326) Data 0.001 (0.001) Loss 1.1283 (1.3583) Prec@1 70.312 (68.449) Prec@5 89.062 (86.854) Epoch: [75][2980/10010] Time 0.341 (0.326) Data 0.001 (0.001) Loss 1.1250 (1.3584) Prec@1 75.000 (68.450) Prec@5 92.188 (86.850) Epoch: [75][2990/10010] Time 0.340 (0.326) Data 0.000 (0.001) Loss 1.3622 (1.3586) Prec@1 70.312 (68.441) Prec@5 85.938 (86.850) Epoch: [75][3000/10010] Time 0.322 (0.326) Data 0.000 (0.001) Loss 1.3430 (1.3585) Prec@1 67.969 (68.446) Prec@5 88.281 (86.853) Epoch: [75][3010/10010] Time 0.317 (0.326) Data 0.000 (0.001) Loss 1.6399 (1.3586) Prec@1 62.500 (68.441) Prec@5 85.938 (86.851) Epoch: [75][3020/10010] Time 0.329 (0.326) Data 0.000 (0.001) Loss 1.3616 (1.3584) Prec@1 64.062 (68.441) Prec@5 86.719 (86.854) Epoch: [75][3030/10010] Time 0.323 (0.326) Data 0.000 (0.001) Loss 1.8370 (1.3589) Prec@1 59.375 (68.433) Prec@5 78.906 (86.851) Epoch: [75][3040/10010] Time 0.333 (0.326) Data 0.001 (0.001) Loss 1.3852 (1.3588) Prec@1 72.656 (68.436) Prec@5 88.281 (86.850) Epoch: [75][3050/10010] Time 0.334 (0.326) Data 0.001 (0.001) Loss 1.4561 (1.3587) Prec@1 65.625 (68.439) Prec@5 85.938 (86.852) Epoch: [75][3060/10010] Time 0.319 (0.326) Data 0.000 (0.001) Loss 1.4599 (1.3587) Prec@1 66.406 (68.435) Prec@5 85.156 (86.848) Epoch: [75][3070/10010] Time 0.332 (0.326) Data 0.000 (0.001) Loss 1.5182 (1.3588) Prec@1 62.500 (68.435) Prec@5 83.594 (86.852) Epoch: [75][3080/10010] Time 0.338 (0.326) Data 0.001 (0.001) Loss 1.1869 (1.3588) Prec@1 75.781 (68.439) Prec@5 90.625 (86.853) Epoch: [75][3090/10010] Time 0.318 (0.326) Data 0.001 (0.001) Loss 1.3447 (1.3587) Prec@1 67.188 (68.439) Prec@5 84.375 (86.853) Epoch: [75][3100/10010] Time 0.316 (0.326) Data 0.001 (0.001) Loss 1.2370 (1.3586) Prec@1 68.750 (68.441) Prec@5 88.281 (86.855) Epoch: [75][3110/10010] Time 0.333 (0.326) Data 0.001 (0.001) Loss 1.1334 (1.3586) Prec@1 71.094 (68.437) Prec@5 90.625 (86.856) Epoch: [75][3120/10010] Time 0.338 (0.326) Data 0.000 (0.001) Loss 0.9857 (1.3587) Prec@1 78.125 (68.432) Prec@5 95.312 (86.855) Epoch: [75][3130/10010] Time 0.342 (0.326) Data 0.001 (0.001) Loss 1.3972 (1.3587) Prec@1 66.406 (68.429) Prec@5 89.844 (86.855) Epoch: [75][3140/10010] Time 0.329 (0.326) Data 0.001 (0.001) Loss 1.0793 (1.3588) Prec@1 71.094 (68.426) Prec@5 92.969 (86.857) Epoch: [75][3150/10010] Time 0.325 (0.326) Data 0.000 (0.001) Loss 1.3924 (1.3589) Prec@1 68.750 (68.425) Prec@5 86.719 (86.856) Epoch: [75][3160/10010] Time 0.335 (0.326) Data 0.000 (0.001) Loss 1.2661 (1.3589) Prec@1 72.656 (68.422) Prec@5 89.844 (86.860) Epoch: [75][3170/10010] Time 0.339 (0.326) Data 0.000 (0.001) Loss 1.7187 (1.3590) Prec@1 59.375 (68.422) Prec@5 80.469 (86.857) Epoch: [75][3180/10010] Time 0.317 (0.326) Data 0.001 (0.001) Loss 1.3853 (1.3590) Prec@1 73.438 (68.426) Prec@5 85.156 (86.857) Epoch: [75][3190/10010] Time 0.335 (0.326) Data 0.001 (0.001) Loss 1.2922 (1.3589) Prec@1 66.406 (68.424) Prec@5 88.281 (86.859) Epoch: [75][3200/10010] Time 0.318 (0.326) Data 0.000 (0.001) Loss 1.3296 (1.3589) Prec@1 69.531 (68.424) Prec@5 85.156 (86.857) Epoch: [75][3210/10010] Time 0.338 (0.326) Data 0.001 (0.001) Loss 1.4304 (1.3590) Prec@1 68.750 (68.421) Prec@5 84.375 (86.857) Epoch: [75][3220/10010] Time 0.330 (0.326) Data 0.001 (0.001) Loss 1.4024 (1.3593) Prec@1 67.969 (68.417) Prec@5 86.719 (86.851) Epoch: [75][3230/10010] Time 0.337 (0.326) Data 0.000 (0.001) Loss 1.3378 (1.3590) Prec@1 69.531 (68.427) Prec@5 88.281 (86.852) Epoch: [75][3240/10010] Time 0.326 (0.326) Data 0.001 (0.001) Loss 1.6387 (1.3590) Prec@1 63.281 (68.429) Prec@5 85.156 (86.854) Epoch: [75][3250/10010] Time 0.320 (0.326) Data 0.000 (0.001) Loss 1.3483 (1.3588) Prec@1 66.406 (68.432) Prec@5 86.719 (86.856) Epoch: [75][3260/10010] Time 0.315 (0.326) Data 0.001 (0.001) Loss 1.1876 (1.3587) Prec@1 71.094 (68.434) Prec@5 91.406 (86.858) Epoch: [75][3270/10010] Time 0.319 (0.326) Data 0.000 (0.001) Loss 1.5290 (1.3588) Prec@1 61.719 (68.436) Prec@5 85.156 (86.860) Epoch: [75][3280/10010] Time 0.319 (0.326) Data 0.000 (0.001) Loss 1.2920 (1.3588) Prec@1 65.625 (68.436) Prec@5 85.156 (86.857) Epoch: [75][3290/10010] Time 0.328 (0.326) Data 0.001 (0.001) Loss 1.1070 (1.3589) Prec@1 75.781 (68.432) Prec@5 90.625 (86.856) Epoch: [75][3300/10010] Time 0.336 (0.326) Data 0.000 (0.001) Loss 1.3732 (1.3589) Prec@1 71.094 (68.432) Prec@5 85.938 (86.855) Epoch: [75][3310/10010] Time 0.333 (0.326) Data 0.001 (0.001) Loss 1.2461 (1.3590) Prec@1 73.438 (68.435) Prec@5 86.719 (86.856) Epoch: [75][3320/10010] Time 0.315 (0.326) Data 0.001 (0.001) Loss 1.2940 (1.3593) Prec@1 70.312 (68.429) Prec@5 89.062 (86.850) Epoch: [75][3330/10010] Time 0.319 (0.326) Data 0.001 (0.001) Loss 1.1406 (1.3591) Prec@1 71.875 (68.434) Prec@5 87.500 (86.854) Epoch: [75][3340/10010] Time 0.314 (0.326) Data 0.001 (0.001) Loss 1.3130 (1.3592) Prec@1 68.750 (68.433) Prec@5 89.062 (86.855) Epoch: [75][3350/10010] Time 0.341 (0.326) Data 0.001 (0.001) Loss 1.2771 (1.3592) Prec@1 65.625 (68.429) Prec@5 87.500 (86.854) Epoch: [75][3360/10010] Time 0.331 (0.326) Data 0.001 (0.001) Loss 1.1855 (1.3590) Prec@1 71.875 (68.428) Prec@5 92.188 (86.858) Epoch: [75][3370/10010] Time 0.323 (0.326) Data 0.001 (0.001) Loss 1.4875 (1.3591) Prec@1 63.281 (68.426) Prec@5 86.719 (86.857) Epoch: [75][3380/10010] Time 0.332 (0.326) Data 0.001 (0.001) Loss 1.6080 (1.3591) Prec@1 61.719 (68.426) Prec@5 80.469 (86.857) Epoch: [75][3390/10010] Time 0.343 (0.326) Data 0.000 (0.001) Loss 1.2659 (1.3587) Prec@1 72.656 (68.436) Prec@5 86.719 (86.860) Epoch: [75][3400/10010] Time 0.318 (0.326) Data 0.001 (0.001) Loss 1.0168 (1.3587) Prec@1 71.875 (68.436) Prec@5 91.406 (86.859) Epoch: [75][3410/10010] Time 0.332 (0.326) Data 0.001 (0.001) Loss 1.3806 (1.3587) Prec@1 67.188 (68.435) Prec@5 82.031 (86.859) Epoch: [75][3420/10010] Time 0.324 (0.326) Data 0.001 (0.001) Loss 1.5087 (1.3584) Prec@1 61.719 (68.434) Prec@5 84.375 (86.863) Epoch: [75][3430/10010] Time 0.317 (0.326) Data 0.001 (0.001) Loss 1.3649 (1.3586) Prec@1 70.312 (68.430) Prec@5 87.500 (86.861) Epoch: [75][3440/10010] Time 0.321 (0.326) Data 0.001 (0.001) Loss 1.1878 (1.3585) Prec@1 72.656 (68.430) Prec@5 90.625 (86.861) Epoch: [75][3450/10010] Time 0.335 (0.326) Data 0.000 (0.001) Loss 1.4895 (1.3584) Prec@1 65.625 (68.435) Prec@5 89.062 (86.865) Epoch: [75][3460/10010] Time 0.320 (0.326) Data 0.001 (0.001) Loss 1.2438 (1.3583) Prec@1 71.875 (68.436) Prec@5 86.719 (86.867) Epoch: [75][3470/10010] Time 0.325 (0.326) Data 0.001 (0.001) Loss 1.2574 (1.3584) Prec@1 71.094 (68.434) Prec@5 86.719 (86.867) Epoch: [75][3480/10010] Time 0.325 (0.326) Data 0.000 (0.001) Loss 1.4660 (1.3582) Prec@1 65.625 (68.436) Prec@5 85.938 (86.868) Epoch: [75][3490/10010] Time 0.333 (0.326) Data 0.001 (0.001) Loss 1.2341 (1.3582) Prec@1 67.188 (68.435) Prec@5 90.625 (86.868) Epoch: [75][3500/10010] Time 0.318 (0.326) Data 0.001 (0.001) Loss 1.6524 (1.3581) Prec@1 65.625 (68.438) Prec@5 82.031 (86.872) Epoch: [75][3510/10010] Time 0.325 (0.326) Data 0.001 (0.001) Loss 1.2577 (1.3579) Prec@1 75.000 (68.443) Prec@5 89.844 (86.875) Epoch: [75][3520/10010] Time 0.341 (0.326) Data 0.000 (0.001) Loss 1.5203 (1.3580) Prec@1 67.188 (68.442) Prec@5 82.031 (86.870) Epoch: [75][3530/10010] Time 0.326 (0.326) Data 0.001 (0.001) Loss 1.3564 (1.3584) Prec@1 64.844 (68.432) Prec@5 86.719 (86.869) Epoch: [75][3540/10010] Time 0.336 (0.326) Data 0.001 (0.001) Loss 1.4104 (1.3583) Prec@1 65.625 (68.432) Prec@5 88.281 (86.872) Epoch: [75][3550/10010] Time 0.335 (0.326) Data 0.001 (0.001) Loss 1.6520 (1.3586) Prec@1 64.844 (68.421) Prec@5 82.812 (86.868) Epoch: [75][3560/10010] Time 0.317 (0.326) Data 0.001 (0.001) Loss 1.4743 (1.3589) Prec@1 67.969 (68.418) Prec@5 85.156 (86.864) Epoch: [75][3570/10010] Time 0.337 (0.326) Data 0.000 (0.001) Loss 1.1907 (1.3589) Prec@1 67.188 (68.416) Prec@5 89.844 (86.862) Epoch: [75][3580/10010] Time 0.317 (0.326) Data 0.001 (0.001) Loss 1.4162 (1.3589) Prec@1 67.188 (68.420) Prec@5 83.594 (86.861) Epoch: [75][3590/10010] Time 0.318 (0.326) Data 0.001 (0.001) Loss 1.4686 (1.3591) Prec@1 67.188 (68.417) Prec@5 81.250 (86.855) Epoch: [75][3600/10010] Time 0.320 (0.326) Data 0.001 (0.001) Loss 1.0435 (1.3588) Prec@1 75.000 (68.421) Prec@5 90.625 (86.861) Epoch: [75][3610/10010] Time 0.319 (0.326) Data 0.001 (0.001) Loss 1.4203 (1.3588) Prec@1 67.188 (68.418) Prec@5 84.375 (86.861) Epoch: [75][3620/10010] Time 0.312 (0.326) Data 0.001 (0.001) Loss 1.2885 (1.3590) Prec@1 67.188 (68.416) Prec@5 87.500 (86.859) Epoch: [75][3630/10010] Time 0.325 (0.326) Data 0.000 (0.001) Loss 1.5804 (1.3590) Prec@1 66.406 (68.415) Prec@5 80.469 (86.857) Epoch: [75][3640/10010] Time 0.314 (0.326) Data 0.001 (0.001) Loss 1.4652 (1.3590) Prec@1 64.844 (68.415) Prec@5 86.719 (86.856) Epoch: [75][3650/10010] Time 0.317 (0.326) Data 0.000 (0.001) Loss 1.3743 (1.3588) Prec@1 70.312 (68.417) Prec@5 88.281 (86.862) Epoch: [75][3660/10010] Time 0.321 (0.326) Data 0.001 (0.001) Loss 1.5611 (1.3590) Prec@1 64.844 (68.418) Prec@5 82.812 (86.858) Epoch: [75][3670/10010] Time 0.319 (0.326) Data 0.001 (0.001) Loss 1.6497 (1.3592) Prec@1 64.062 (68.412) Prec@5 80.469 (86.855) Epoch: [75][3680/10010] Time 0.327 (0.326) Data 0.001 (0.001) Loss 1.2840 (1.3591) Prec@1 67.969 (68.411) Prec@5 84.375 (86.854) Epoch: [75][3690/10010] Time 0.326 (0.326) Data 0.001 (0.001) Loss 1.5718 (1.3595) Prec@1 68.750 (68.407) Prec@5 85.938 (86.850) Epoch: [75][3700/10010] Time 0.341 (0.326) Data 0.000 (0.001) Loss 1.1166 (1.3595) Prec@1 76.562 (68.404) Prec@5 87.500 (86.848) Epoch: [75][3710/10010] Time 0.338 (0.326) Data 0.000 (0.001) Loss 1.5435 (1.3598) Prec@1 63.281 (68.398) Prec@5 85.156 (86.847) Epoch: [75][3720/10010] Time 0.331 (0.326) Data 0.001 (0.001) Loss 1.8005 (1.3601) Prec@1 60.156 (68.390) Prec@5 78.906 (86.840) Epoch: [75][3730/10010] Time 0.313 (0.326) Data 0.001 (0.001) Loss 1.6233 (1.3601) Prec@1 62.500 (68.387) Prec@5 82.812 (86.840) /data/vision/torralba/deepscene/lib/anaconda2/lib/python2.7/site-packages/PIL/TiffImagePlugin.py:692: UserWarning: Possibly corrupt EXIF data. Expecting to read 2555904 bytes but only got 0. Skipping tag 0 "Skipping tag %s" % (size, len(data), tag)) Epoch: [75][3740/10010] Time 0.338 (0.326) Data 0.001 (0.001) Loss 1.0623 (1.3599) Prec@1 72.656 (68.390) Prec@5 92.188 (86.843) Epoch: [75][3750/10010] Time 0.325 (0.326) Data 0.001 (0.001) Loss 1.3738 (1.3598) Prec@1 66.406 (68.391) Prec@5 86.719 (86.844) Epoch: [75][3760/10010] Time 0.321 (0.326) Data 0.001 (0.001) Loss 1.1250 (1.3599) Prec@1 72.656 (68.391) Prec@5 89.062 (86.842) Epoch: [75][3770/10010] Time 0.313 (0.326) Data 0.001 (0.001) Loss 1.4309 (1.3598) Prec@1 71.875 (68.394) Prec@5 85.938 (86.844) Epoch: [75][3780/10010] Time 0.320 (0.326) Data 0.001 (0.001) Loss 1.2716 (1.3598) Prec@1 67.969 (68.393) Prec@5 87.500 (86.843) Epoch: [75][3790/10010] Time 0.323 (0.326) Data 0.001 (0.001) Loss 1.5545 (1.3598) Prec@1 62.500 (68.394) Prec@5 85.938 (86.845) Epoch: [75][3800/10010] Time 0.321 (0.326) Data 0.000 (0.001) Loss 1.3319 (1.3598) Prec@1 66.406 (68.392) Prec@5 89.844 (86.846) Epoch: [75][3810/10010] Time 0.323 (0.326) Data 0.000 (0.001) Loss 1.3190 (1.3599) Prec@1 64.844 (68.389) Prec@5 88.281 (86.846) Epoch: [75][3820/10010] Time 0.320 (0.326) Data 0.001 (0.001) Loss 1.3834 (1.3601) Prec@1 72.656 (68.383) Prec@5 85.938 (86.842) Epoch: [75][3830/10010] Time 0.325 (0.326) Data 0.001 (0.001) Loss 1.5437 (1.3600) Prec@1 70.312 (68.386) Prec@5 82.812 (86.844) Epoch: [75][3840/10010] Time 0.314 (0.326) Data 0.001 (0.001) Loss 1.2590 (1.3602) Prec@1 69.531 (68.383) Prec@5 88.281 (86.842) Epoch: [75][3850/10010] Time 0.333 (0.326) Data 0.000 (0.001) Loss 1.3664 (1.3602) Prec@1 69.531 (68.384) Prec@5 88.281 (86.841) Epoch: [75][3860/10010] Time 0.322 (0.326) Data 0.000 (0.001) Loss 1.3925 (1.3606) Prec@1 66.406 (68.380) Prec@5 85.938 (86.838) Epoch: [75][3870/10010] Time 0.329 (0.326) Data 0.001 (0.001) Loss 1.4185 (1.3607) Prec@1 62.500 (68.377) Prec@5 88.281 (86.837) Epoch: [75][3880/10010] Time 0.320 (0.326) Data 0.000 (0.001) Loss 1.2432 (1.3607) Prec@1 71.094 (68.381) Prec@5 89.844 (86.839) Epoch: [75][3890/10010] Time 0.316 (0.326) Data 0.001 (0.001) Loss 1.2789 (1.3607) Prec@1 70.312 (68.381) Prec@5 86.719 (86.838) Epoch: [75][3900/10010] Time 0.342 (0.326) Data 0.001 (0.001) Loss 1.6375 (1.3608) Prec@1 61.719 (68.383) Prec@5 83.594 (86.838) Epoch: [75][3910/10010] Time 0.320 (0.326) Data 0.001 (0.001) Loss 1.3732 (1.3609) Prec@1 69.531 (68.383) Prec@5 85.938 (86.835) Epoch: [75][3920/10010] Time 0.321 (0.326) Data 0.001 (0.001) Loss 1.1817 (1.3608) Prec@1 71.875 (68.383) Prec@5 87.500 (86.837) Epoch: [75][3930/10010] Time 0.322 (0.326) Data 0.001 (0.001) Loss 1.4364 (1.3606) Prec@1 67.969 (68.388) Prec@5 84.375 (86.839) Epoch: [75][3940/10010] Time 0.330 (0.326) Data 0.001 (0.001) Loss 1.3450 (1.3605) Prec@1 70.312 (68.390) Prec@5 88.281 (86.842) Epoch: [75][3950/10010] Time 0.330 (0.326) Data 0.000 (0.001) Loss 1.2663 (1.3605) Prec@1 74.219 (68.389) Prec@5 89.844 (86.843) Epoch: [75][3960/10010] Time 0.320 (0.326) Data 0.001 (0.001) Loss 1.1725 (1.3602) Prec@1 73.438 (68.393) Prec@5 89.844 (86.846) Epoch: [75][3970/10010] Time 0.326 (0.326) Data 0.001 (0.001) Loss 1.3937 (1.3602) Prec@1 65.625 (68.394) Prec@5 86.719 (86.847) Epoch: [75][3980/10010] Time 0.310 (0.326) Data 0.001 (0.001) Loss 1.5359 (1.3602) Prec@1 58.594 (68.394) Prec@5 85.938 (86.847) Epoch: [75][3990/10010] Time 0.320 (0.326) Data 0.001 (0.001) Loss 1.2945 (1.3600) Prec@1 70.312 (68.397) Prec@5 88.281 (86.850) Epoch: [75][4000/10010] Time 0.318 (0.326) Data 0.001 (0.001) Loss 1.1785 (1.3602) Prec@1 75.000 (68.394) Prec@5 89.844 (86.846) Epoch: [75][4010/10010] Time 0.339 (0.326) Data 0.000 (0.001) Loss 1.2034 (1.3602) Prec@1 76.562 (68.400) Prec@5 85.938 (86.847) Epoch: [75][4020/10010] Time 0.317 (0.326) Data 0.001 (0.001) Loss 1.5228 (1.3600) Prec@1 61.719 (68.406) Prec@5 85.156 (86.850) Epoch: [75][4030/10010] Time 0.334 (0.326) Data 0.001 (0.001) Loss 1.1012 (1.3599) Prec@1 71.875 (68.402) Prec@5 89.844 (86.852) Epoch: [75][4040/10010] Time 0.317 (0.326) Data 0.001 (0.001) Loss 1.3068 (1.3601) Prec@1 64.844 (68.396) Prec@5 87.500 (86.847) Epoch: [75][4050/10010] Time 0.335 (0.326) Data 0.001 (0.001) Loss 1.3415 (1.3602) Prec@1 67.188 (68.397) Prec@5 86.719 (86.844) Epoch: [75][4060/10010] Time 0.339 (0.326) Data 0.001 (0.001) Loss 1.5835 (1.3603) Prec@1 66.406 (68.396) Prec@5 82.031 (86.842) Epoch: [75][4070/10010] Time 0.326 (0.326) Data 0.000 (0.001) Loss 1.6709 (1.3602) Prec@1 67.969 (68.399) Prec@5 79.688 (86.847) Epoch: [75][4080/10010] Time 0.334 (0.326) Data 0.001 (0.001) Loss 1.4675 (1.3604) Prec@1 64.062 (68.396) Prec@5 82.812 (86.843) Epoch: [75][4090/10010] Time 0.323 (0.326) Data 0.001 (0.001) Loss 1.4583 (1.3606) Prec@1 64.062 (68.395) Prec@5 84.375 (86.840) Epoch: [75][4100/10010] Time 0.319 (0.326) Data 0.001 (0.001) Loss 1.6950 (1.3605) Prec@1 61.719 (68.395) Prec@5 78.906 (86.840) Epoch: [75][4110/10010] Time 0.315 (0.326) Data 0.001 (0.001) Loss 1.4063 (1.3604) Prec@1 67.188 (68.396) Prec@5 88.281 (86.838) Epoch: [75][4120/10010] Time 0.339 (0.326) Data 0.000 (0.001) Loss 1.1795 (1.3603) Prec@1 71.094 (68.395) Prec@5 89.844 (86.840) Epoch: [75][4130/10010] Time 0.320 (0.326) Data 0.001 (0.001) Loss 1.1958 (1.3601) Prec@1 67.188 (68.398) Prec@5 92.188 (86.845) Epoch: [75][4140/10010] Time 0.334 (0.326) Data 0.001 (0.001) Loss 1.5708 (1.3601) Prec@1 63.281 (68.397) Prec@5 82.812 (86.844) Epoch: [75][4150/10010] Time 0.314 (0.326) Data 0.001 (0.001) Loss 1.2533 (1.3601) Prec@1 73.438 (68.398) Prec@5 89.062 (86.844) Epoch: [75][4160/10010] Time 0.339 (0.326) Data 0.001 (0.001) Loss 1.2303 (1.3599) Prec@1 71.094 (68.400) Prec@5 89.844 (86.849) Epoch: [75][4170/10010] Time 0.333 (0.326) Data 0.001 (0.001) Loss 1.7421 (1.3599) Prec@1 55.469 (68.398) Prec@5 82.812 (86.847) Epoch: [75][4180/10010] Time 0.313 (0.326) Data 0.001 (0.001) Loss 1.2250 (1.3600) Prec@1 66.406 (68.396) Prec@5 89.844 (86.847) Epoch: [75][4190/10010] Time 0.320 (0.326) Data 0.001 (0.001) Loss 1.2126 (1.3601) Prec@1 73.438 (68.395) Prec@5 90.625 (86.845) Epoch: [75][4200/10010] Time 0.316 (0.326) Data 0.001 (0.001) Loss 1.2923 (1.3600) Prec@1 67.188 (68.395) Prec@5 87.500 (86.846) Epoch: [75][4210/10010] Time 0.316 (0.326) Data 0.001 (0.001) Loss 1.6460 (1.3603) Prec@1 60.938 (68.387) Prec@5 82.812 (86.844) Epoch: [75][4220/10010] Time 0.323 (0.326) Data 0.000 (0.001) Loss 1.4312 (1.3604) Prec@1 59.375 (68.384) Prec@5 89.062 (86.841) Epoch: [75][4230/10010] Time 0.316 (0.326) Data 0.001 (0.001) Loss 1.3108 (1.3604) Prec@1 70.312 (68.386) Prec@5 89.062 (86.843) Epoch: [75][4240/10010] Time 0.311 (0.325) Data 0.001 (0.001) Loss 1.2478 (1.3603) Prec@1 71.875 (68.389) Prec@5 87.500 (86.844) Epoch: [75][4250/10010] Time 0.318 (0.325) Data 0.001 (0.001) Loss 1.2746 (1.3602) Prec@1 68.750 (68.390) Prec@5 85.156 (86.846) Epoch: [75][4260/10010] Time 0.323 (0.325) Data 0.001 (0.001) Loss 0.9914 (1.3604) Prec@1 72.656 (68.386) Prec@5 90.625 (86.843) Epoch: [75][4270/10010] Time 0.328 (0.325) Data 0.001 (0.001) Loss 1.5917 (1.3604) Prec@1 65.625 (68.384) Prec@5 79.688 (86.841) Epoch: [75][4280/10010] Time 0.338 (0.325) Data 0.001 (0.001) Loss 1.2637 (1.3602) Prec@1 68.750 (68.387) Prec@5 91.406 (86.845) Epoch: [75][4290/10010] Time 0.325 (0.325) Data 0.000 (0.001) Loss 1.3910 (1.3602) Prec@1 64.844 (68.388) Prec@5 86.719 (86.845) Epoch: [75][4300/10010] Time 0.308 (0.325) Data 0.001 (0.001) Loss 1.4758 (1.3603) Prec@1 71.094 (68.390) Prec@5 86.719 (86.843) Epoch: [75][4310/10010] Time 0.320 (0.325) Data 0.001 (0.001) Loss 1.3750 (1.3603) Prec@1 69.531 (68.390) Prec@5 85.156 (86.843) Epoch: [75][4320/10010] Time 0.326 (0.325) Data 0.000 (0.001) Loss 1.3884 (1.3603) Prec@1 74.219 (68.389) Prec@5 85.938 (86.843) Epoch: [75][4330/10010] Time 0.314 (0.325) Data 0.001 (0.001) Loss 1.2564 (1.3603) Prec@1 71.094 (68.388) Prec@5 90.625 (86.842) Epoch: [75][4340/10010] Time 0.328 (0.325) Data 0.001 (0.001) Loss 1.5676 (1.3604) Prec@1 64.844 (68.385) Prec@5 85.938 (86.841) Epoch: [75][4350/10010] Time 0.317 (0.325) Data 0.001 (0.001) Loss 1.5632 (1.3606) Prec@1 66.406 (68.382) Prec@5 85.156 (86.840) Epoch: [75][4360/10010] Time 0.317 (0.325) Data 0.001 (0.001) Loss 1.4033 (1.3604) Prec@1 64.062 (68.384) Prec@5 85.938 (86.843) Epoch: [75][4370/10010] Time 0.322 (0.325) Data 0.001 (0.001) Loss 1.5470 (1.3606) Prec@1 67.188 (68.379) Prec@5 84.375 (86.842) Epoch: [75][4380/10010] Time 0.312 (0.325) Data 0.001 (0.001) Loss 1.3171 (1.3608) Prec@1 69.531 (68.374) Prec@5 85.156 (86.839) /data/vision/torralba/deepscene/lib/anaconda2/lib/python2.7/site-packages/PIL/TiffImagePlugin.py:692: UserWarning: Possibly corrupt EXIF data. Expecting to read 2555904 bytes but only got 0. Skipping tag 0 "Skipping tag %s" % (size, len(data), tag)) Epoch: [75][4390/10010] Time 0.325 (0.325) Data 0.000 (0.001) Loss 1.5617 (1.3608) Prec@1 64.062 (68.372) Prec@5 83.594 (86.839) Epoch: [75][4400/10010] Time 0.319 (0.325) Data 0.001 (0.001) Loss 1.4201 (1.3607) Prec@1 65.625 (68.375) Prec@5 88.281 (86.840) Epoch: [75][4410/10010] Time 0.325 (0.325) Data 0.001 (0.001) Loss 1.6088 (1.3608) Prec@1 62.500 (68.374) Prec@5 84.375 (86.838) Epoch: [75][4420/10010] Time 0.322 (0.325) Data 0.001 (0.001) Loss 1.1208 (1.3607) Prec@1 75.000 (68.375) Prec@5 92.188 (86.838) Epoch: [75][4430/10010] Time 0.322 (0.325) Data 0.001 (0.001) Loss 1.7944 (1.3608) Prec@1 58.594 (68.373) Prec@5 78.906 (86.835) Epoch: [75][4440/10010] Time 0.331 (0.325) Data 0.000 (0.001) Loss 1.5312 (1.3608) Prec@1 65.625 (68.373) Prec@5 84.375 (86.836) Epoch: [75][4450/10010] Time 0.337 (0.325) Data 0.000 (0.001) Loss 1.1267 (1.3607) Prec@1 75.000 (68.378) Prec@5 89.844 (86.838) Epoch: [75][4460/10010] Time 0.344 (0.325) Data 0.000 (0.001) Loss 1.4144 (1.3608) Prec@1 71.875 (68.381) Prec@5 83.594 (86.836) Epoch: [75][4470/10010] Time 0.341 (0.325) Data 0.001 (0.001) Loss 1.3694 (1.3608) Prec@1 71.875 (68.376) Prec@5 87.500 (86.834) Epoch: [75][4480/10010] Time 0.324 (0.325) Data 0.001 (0.001) Loss 1.5754 (1.3609) Prec@1 65.625 (68.376) Prec@5 86.719 (86.834) Epoch: [75][4490/10010] Time 0.321 (0.325) Data 0.001 (0.001) Loss 1.4135 (1.3611) Prec@1 56.250 (68.366) Prec@5 88.281 (86.831) Epoch: [75][4500/10010] Time 0.317 (0.325) Data 0.001 (0.001) Loss 1.1374 (1.3612) Prec@1 76.562 (68.368) Prec@5 90.625 (86.831) Epoch: [75][4510/10010] Time 0.333 (0.325) Data 0.001 (0.001) Loss 1.2761 (1.3612) Prec@1 70.312 (68.367) Prec@5 86.719 (86.829) Epoch: [75][4520/10010] Time 0.311 (0.325) Data 0.001 (0.001) Loss 1.3484 (1.3611) Prec@1 61.719 (68.363) Prec@5 88.281 (86.832) Epoch: [75][4530/10010] Time 0.331 (0.325) Data 0.001 (0.001) Loss 1.0776 (1.3612) Prec@1 75.781 (68.360) Prec@5 92.969 (86.830) Epoch: [75][4540/10010] Time 0.329 (0.325) Data 0.000 (0.001) Loss 1.5364 (1.3613) Prec@1 64.062 (68.359) Prec@5 85.938 (86.831) Epoch: [75][4550/10010] Time 0.321 (0.325) Data 0.000 (0.001) Loss 1.3939 (1.3610) Prec@1 68.750 (68.363) Prec@5 88.281 (86.833) Epoch: [75][4560/10010] Time 0.336 (0.325) Data 0.001 (0.001) Loss 1.3151 (1.3610) Prec@1 72.656 (68.364) Prec@5 89.062 (86.832) /data/vision/torralba/deepscene/lib/anaconda2/lib/python2.7/site-packages/PIL/TiffImagePlugin.py:692: UserWarning: Possibly corrupt EXIF data. Expecting to read 2555904 bytes but only got 0. Skipping tag 0 "Skipping tag %s" % (size, len(data), tag)) Epoch: [75][4570/10010] Time 0.333 (0.325) Data 0.001 (0.001) Loss 1.1038 (1.3609) Prec@1 73.438 (68.365) Prec@5 89.062 (86.835) Epoch: [75][4580/10010] Time 0.339 (0.325) Data 0.000 (0.001) Loss 1.2837 (1.3608) Prec@1 69.531 (68.368) Prec@5 86.719 (86.835) Epoch: [75][4590/10010] Time 0.331 (0.325) Data 0.001 (0.001) Loss 1.2985 (1.3608) Prec@1 68.750 (68.371) Prec@5 85.938 (86.836) Epoch: [75][4600/10010] Time 0.325 (0.325) Data 0.001 (0.001) Loss 1.6086 (1.3612) Prec@1 67.969 (68.363) Prec@5 82.812 (86.829) Epoch: [75][4610/10010] Time 0.319 (0.325) Data 0.001 (0.001) Loss 1.3613 (1.3611) Prec@1 71.094 (68.368) Prec@5 87.500 (86.831) Epoch: [75][4620/10010] Time 0.338 (0.325) Data 0.001 (0.001) Loss 1.4856 (1.3613) Prec@1 65.625 (68.365) Prec@5 83.594 (86.827) Epoch: [75][4630/10010] Time 0.331 (0.325) Data 0.001 (0.001) Loss 1.4777 (1.3616) Prec@1 67.188 (68.361) Prec@5 83.594 (86.824) Epoch: [75][4640/10010] Time 0.331 (0.325) Data 0.001 (0.001) Loss 0.9130 (1.3616) Prec@1 77.344 (68.358) Prec@5 92.969 (86.825) Epoch: [75][4650/10010] Time 0.317 (0.325) Data 0.001 (0.001) Loss 1.6258 (1.3615) Prec@1 67.188 (68.362) Prec@5 83.594 (86.827) Epoch: [75][4660/10010] Time 0.313 (0.325) Data 0.001 (0.001) Loss 1.2807 (1.3615) Prec@1 70.312 (68.363) Prec@5 87.500 (86.827) Epoch: [75][4670/10010] Time 0.326 (0.325) Data 0.001 (0.001) Loss 1.3226 (1.3615) Prec@1 68.750 (68.363) Prec@5 86.719 (86.826) Epoch: [75][4680/10010] Time 0.336 (0.325) Data 0.001 (0.001) Loss 1.4321 (1.3615) Prec@1 67.188 (68.364) Prec@5 89.062 (86.828) Epoch: [75][4690/10010] Time 0.317 (0.325) Data 0.001 (0.001) Loss 1.4394 (1.3614) Prec@1 68.750 (68.364) Prec@5 84.375 (86.831) Epoch: [75][4700/10010] Time 0.321 (0.325) Data 0.000 (0.001) Loss 1.2723 (1.3613) Prec@1 69.531 (68.366) Prec@5 87.500 (86.831) Epoch: [75][4710/10010] Time 0.337 (0.325) Data 0.001 (0.001) Loss 1.0589 (1.3614) Prec@1 70.312 (68.363) Prec@5 92.188 (86.829) Epoch: [75][4720/10010] Time 0.320 (0.325) Data 0.001 (0.001) Loss 1.4743 (1.3613) Prec@1 59.375 (68.361) Prec@5 86.719 (86.832) Epoch: [75][4730/10010] Time 0.333 (0.325) Data 0.001 (0.001) Loss 1.6389 (1.3612) Prec@1 64.062 (68.365) Prec@5 84.375 (86.831) Epoch: [75][4740/10010] Time 0.319 (0.325) Data 0.001 (0.001) Loss 1.6767 (1.3613) Prec@1 58.594 (68.363) Prec@5 85.156 (86.830) Epoch: [75][4750/10010] Time 0.330 (0.325) Data 0.003 (0.001) Loss 1.0771 (1.3613) Prec@1 74.219 (68.363) Prec@5 89.844 (86.831) Epoch: [75][4760/10010] Time 0.335 (0.325) Data 0.001 (0.001) Loss 1.4654 (1.3616) Prec@1 64.062 (68.355) Prec@5 85.156 (86.824) Epoch: [75][4770/10010] Time 0.330 (0.325) Data 0.001 (0.001) Loss 1.2389 (1.3615) Prec@1 72.656 (68.355) Prec@5 86.719 (86.825) Epoch: [75][4780/10010] Time 0.313 (0.325) Data 0.001 (0.001) Loss 1.2425 (1.3614) Prec@1 73.438 (68.358) Prec@5 88.281 (86.825) /data/vision/torralba/deepscene/lib/anaconda2/lib/python2.7/site-packages/PIL/TiffImagePlugin.py:692: UserWarning: Possibly corrupt EXIF data. Expecting to read 2555904 bytes but only got 0. Skipping tag 0 "Skipping tag %s" % (size, len(data), tag)) Epoch: [75][4790/10010] Time 0.333 (0.325) Data 0.001 (0.001) Loss 1.3356 (1.3618) Prec@1 69.531 (68.352) Prec@5 89.062 (86.821) Epoch: [75][4800/10010] Time 0.336 (0.325) Data 0.001 (0.001) Loss 1.5271 (1.3617) Prec@1 65.625 (68.353) Prec@5 85.938 (86.825) Epoch: [75][4810/10010] Time 0.329 (0.325) Data 0.000 (0.001) Loss 1.4906 (1.3617) Prec@1 64.062 (68.352) Prec@5 83.594 (86.823) Epoch: [75][4820/10010] Time 0.315 (0.325) Data 0.001 (0.001) Loss 1.5054 (1.3616) Prec@1 62.500 (68.352) Prec@5 84.375 (86.823) Epoch: [75][4830/10010] Time 0.332 (0.325) Data 0.000 (0.001) Loss 1.3624 (1.3618) Prec@1 67.188 (68.350) Prec@5 84.375 (86.820) Epoch: [75][4840/10010] Time 0.340 (0.325) Data 0.000 (0.001) Loss 1.4278 (1.3619) Prec@1 71.094 (68.348) Prec@5 84.375 (86.816) Epoch: [75][4850/10010] Time 0.315 (0.325) Data 0.001 (0.001) Loss 1.3327 (1.3616) Prec@1 66.406 (68.353) Prec@5 89.062 (86.821) Epoch: [75][4860/10010] Time 0.332 (0.325) Data 0.001 (0.001) Loss 1.3835 (1.3617) Prec@1 68.750 (68.350) Prec@5 85.938 (86.819) Epoch: [75][4870/10010] Time 0.320 (0.325) Data 0.001 (0.001) Loss 1.4920 (1.3618) Prec@1 65.625 (68.351) Prec@5 87.500 (86.819) Epoch: [75][4880/10010] Time 0.329 (0.325) Data 0.001 (0.001) Loss 1.3657 (1.3619) Prec@1 67.969 (68.351) Prec@5 88.281 (86.818) Epoch: [75][4890/10010] Time 0.325 (0.325) Data 0.000 (0.001) Loss 1.7053 (1.3619) Prec@1 57.812 (68.350) Prec@5 80.469 (86.819) Epoch: [75][4900/10010] Time 0.323 (0.325) Data 0.000 (0.001) Loss 1.5553 (1.3619) Prec@1 65.625 (68.350) Prec@5 84.375 (86.819) Epoch: [75][4910/10010] Time 0.317 (0.325) Data 0.001 (0.001) Loss 1.3558 (1.3620) Prec@1 63.281 (68.347) Prec@5 87.500 (86.818) Epoch: [75][4920/10010] Time 0.334 (0.325) Data 0.001 (0.001) Loss 1.2355 (1.3619) Prec@1 69.531 (68.350) Prec@5 87.500 (86.817) Epoch: [75][4930/10010] Time 0.320 (0.325) Data 0.000 (0.001) Loss 1.3550 (1.3620) Prec@1 71.875 (68.345) Prec@5 84.375 (86.817) Epoch: [75][4940/10010] Time 0.333 (0.325) Data 0.001 (0.001) Loss 1.1769 (1.3619) Prec@1 71.875 (68.345) Prec@5 89.062 (86.817) Epoch: [75][4950/10010] Time 0.319 (0.325) Data 0.000 (0.001) Loss 1.4208 (1.3620) Prec@1 64.844 (68.344) Prec@5 86.719 (86.817) Epoch: [75][4960/10010] Time 0.328 (0.325) Data 0.001 (0.001) Loss 1.2139 (1.3617) Prec@1 71.094 (68.347) Prec@5 89.844 (86.821) Epoch: [75][4970/10010] Time 0.338 (0.325) Data 0.000 (0.001) Loss 1.4752 (1.3617) Prec@1 65.625 (68.343) Prec@5 85.938 (86.822) Epoch: [75][4980/10010] Time 0.316 (0.325) Data 0.001 (0.001) Loss 1.5801 (1.3619) Prec@1 63.281 (68.341) Prec@5 80.469 (86.820) Epoch: [75][4990/10010] Time 0.319 (0.325) Data 0.001 (0.001) Loss 1.5840 (1.3620) Prec@1 62.500 (68.337) Prec@5 82.812 (86.817) Epoch: [75][5000/10010] Time 0.311 (0.325) Data 0.001 (0.001) Loss 1.3285 (1.3620) Prec@1 70.312 (68.339) Prec@5 86.719 (86.815) Epoch: [75][5010/10010] Time 0.321 (0.325) Data 0.001 (0.001) Loss 1.1384 (1.3619) Prec@1 72.656 (68.341) Prec@5 90.625 (86.816) Epoch: [75][5020/10010] Time 0.342 (0.326) Data 0.001 (0.001) Loss 1.3165 (1.3620) Prec@1 67.969 (68.337) Prec@5 85.938 (86.814) Epoch: [75][5030/10010] Time 0.341 (0.326) Data 0.000 (0.001) Loss 1.4297 (1.3621) Prec@1 67.188 (68.337) Prec@5 85.938 (86.814) Epoch: [75][5040/10010] Time 0.330 (0.326) Data 0.001 (0.001) Loss 1.3548 (1.3622) Prec@1 66.406 (68.335) Prec@5 89.062 (86.814) Epoch: [75][5050/10010] Time 0.318 (0.326) Data 0.000 (0.001) Loss 1.2709 (1.3621) Prec@1 70.312 (68.335) Prec@5 91.406 (86.817) Epoch: [75][5060/10010] Time 0.316 (0.326) Data 0.001 (0.001) Loss 1.3403 (1.3622) Prec@1 69.531 (68.335) Prec@5 88.281 (86.816) Epoch: [75][5070/10010] Time 0.333 (0.326) Data 0.001 (0.001) Loss 1.3620 (1.3622) Prec@1 65.625 (68.334) Prec@5 87.500 (86.816) Epoch: [75][5080/10010] Time 0.332 (0.325) Data 0.001 (0.001) Loss 1.2913 (1.3622) Prec@1 73.438 (68.333) Prec@5 90.625 (86.816) Epoch: [75][5090/10010] Time 0.330 (0.325) Data 0.001 (0.001) Loss 1.3805 (1.3622) Prec@1 65.625 (68.334) Prec@5 89.844 (86.817) Epoch: [75][5100/10010] Time 0.319 (0.325) Data 0.001 (0.001) Loss 1.3430 (1.3623) Prec@1 71.094 (68.334) Prec@5 86.719 (86.817) Epoch: [75][5110/10010] Time 0.324 (0.325) Data 0.001 (0.001) Loss 1.3963 (1.3625) Prec@1 64.062 (68.329) Prec@5 86.719 (86.815) Epoch: [75][5120/10010] Time 0.317 (0.325) Data 0.001 (0.001) Loss 1.2538 (1.3626) Prec@1 75.000 (68.327) Prec@5 89.844 (86.814) /data/vision/torralba/deepscene/lib/anaconda2/lib/python2.7/site-packages/PIL/TiffImagePlugin.py:692: UserWarning: Possibly corrupt EXIF data. Expecting to read 1835008 bytes but only got 0. Skipping tag 0 "Skipping tag %s" % (size, len(data), tag)) Epoch: [75][5130/10010] Time 0.334 (0.325) Data 0.000 (0.001) Loss 1.4119 (1.3629) Prec@1 64.062 (68.323) Prec@5 85.938 (86.809) Epoch: [75][5140/10010] Time 0.319 (0.325) Data 0.001 (0.001) Loss 1.5115 (1.3629) Prec@1 67.188 (68.324) Prec@5 80.469 (86.808) Epoch: [75][5150/10010] Time 0.322 (0.325) Data 0.001 (0.001) Loss 1.2750 (1.3628) Prec@1 69.531 (68.327) Prec@5 89.844 (86.809) Epoch: [75][5160/10010] Time 0.317 (0.325) Data 0.001 (0.001) Loss 1.5624 (1.3629) Prec@1 63.281 (68.323) Prec@5 85.156 (86.808) Epoch: [75][5170/10010] Time 0.319 (0.325) Data 0.001 (0.001) Loss 1.3779 (1.3630) Prec@1 67.188 (68.323) Prec@5 85.938 (86.808) Epoch: [75][5180/10010] Time 0.315 (0.325) Data 0.001 (0.001) Loss 1.2633 (1.3629) Prec@1 64.844 (68.322) Prec@5 91.406 (86.809) Epoch: [75][5190/10010] Time 0.332 (0.325) Data 0.000 (0.001) Loss 1.2927 (1.3628) Prec@1 69.531 (68.326) Prec@5 87.500 (86.811) Epoch: [75][5200/10010] Time 0.327 (0.325) Data 0.001 (0.001) Loss 1.4095 (1.3627) Prec@1 64.844 (68.327) Prec@5 86.719 (86.812) Epoch: [75][5210/10010] Time 0.320 (0.325) Data 0.000 (0.001) Loss 1.2353 (1.3628) Prec@1 74.219 (68.328) Prec@5 89.062 (86.811) Epoch: [75][5220/10010] Time 0.329 (0.325) Data 0.001 (0.001) Loss 1.6414 (1.3629) Prec@1 60.938 (68.327) Prec@5 79.688 (86.807) Epoch: [75][5230/10010] Time 0.315 (0.325) Data 0.001 (0.001) Loss 0.9650 (1.3627) Prec@1 75.000 (68.333) Prec@5 93.750 (86.809) Epoch: [75][5240/10010] Time 0.328 (0.325) Data 0.001 (0.001) Loss 1.5539 (1.3626) Prec@1 60.156 (68.335) Prec@5 85.156 (86.812) Epoch: [75][5250/10010] Time 0.338 (0.325) Data 0.001 (0.001) Loss 1.5468 (1.3627) Prec@1 67.969 (68.332) Prec@5 82.031 (86.812) Epoch: [75][5260/10010] Time 0.338 (0.325) Data 0.001 (0.001) Loss 1.2539 (1.3626) Prec@1 71.094 (68.334) Prec@5 87.500 (86.814) Epoch: [75][5270/10010] Time 0.316 (0.325) Data 0.001 (0.001) Loss 1.3289 (1.3627) Prec@1 66.406 (68.332) Prec@5 88.281 (86.812) Epoch: [75][5280/10010] Time 0.334 (0.325) Data 0.000 (0.001) Loss 1.2585 (1.3627) Prec@1 70.312 (68.334) Prec@5 85.938 (86.812) Epoch: [75][5290/10010] Time 0.322 (0.325) Data 0.001 (0.001) Loss 1.3111 (1.3628) Prec@1 75.000 (68.334) Prec@5 89.062 (86.811) Epoch: [75][5300/10010] Time 0.321 (0.325) Data 0.001 (0.001) Loss 1.4225 (1.3628) Prec@1 67.188 (68.331) Prec@5 86.719 (86.811) Epoch: [75][5310/10010] Time 0.314 (0.325) Data 0.001 (0.001) Loss 1.0425 (1.3627) Prec@1 78.125 (68.334) Prec@5 92.188 (86.812) Epoch: [75][5320/10010] Time 0.332 (0.325) Data 0.000 (0.001) Loss 0.9561 (1.3626) Prec@1 77.344 (68.335) Prec@5 92.969 (86.814) Epoch: [75][5330/10010] Time 0.319 (0.325) Data 0.001 (0.001) Loss 1.3905 (1.3627) Prec@1 70.312 (68.336) Prec@5 85.156 (86.813) Epoch: [75][5340/10010] Time 0.321 (0.325) Data 0.000 (0.001) Loss 1.5066 (1.3627) Prec@1 64.844 (68.337) Prec@5 85.938 (86.813) Epoch: [75][5350/10010] Time 0.322 (0.325) Data 0.001 (0.001) Loss 0.9061 (1.3625) Prec@1 78.906 (68.343) Prec@5 93.750 (86.816) Epoch: [75][5360/10010] Time 0.323 (0.325) Data 0.001 (0.001) Loss 1.2491 (1.3625) Prec@1 70.312 (68.342) Prec@5 85.156 (86.817) Epoch: [75][5370/10010] Time 0.315 (0.325) Data 0.001 (0.001) Loss 1.5615 (1.3627) Prec@1 64.844 (68.340) Prec@5 85.156 (86.816) Epoch: [75][5380/10010] Time 0.321 (0.325) Data 0.001 (0.001) Loss 1.3505 (1.3627) Prec@1 71.094 (68.344) Prec@5 82.812 (86.815) Epoch: [75][5390/10010] Time 0.314 (0.325) Data 0.001 (0.001) Loss 1.4957 (1.3627) Prec@1 66.406 (68.345) Prec@5 83.594 (86.817) Epoch: [75][5400/10010] Time 0.334 (0.325) Data 0.001 (0.001) Loss 1.4721 (1.3627) Prec@1 67.969 (68.347) Prec@5 86.719 (86.817) Epoch: [75][5410/10010] Time 0.320 (0.325) Data 0.000 (0.001) Loss 1.3623 (1.3628) Prec@1 66.406 (68.344) Prec@5 85.938 (86.815) Epoch: [75][5420/10010] Time 0.320 (0.325) Data 0.001 (0.001) Loss 1.3049 (1.3628) Prec@1 71.875 (68.347) Prec@5 87.500 (86.815) Epoch: [75][5430/10010] Time 0.321 (0.325) Data 0.000 (0.001) Loss 1.2644 (1.3626) Prec@1 70.312 (68.351) Prec@5 87.500 (86.816) Epoch: [75][5440/10010] Time 0.339 (0.325) Data 0.000 (0.001) Loss 1.3288 (1.3627) Prec@1 68.750 (68.354) Prec@5 86.719 (86.816) Epoch: [75][5450/10010] Time 0.325 (0.325) Data 0.001 (0.001) Loss 1.3576 (1.3626) Prec@1 69.531 (68.354) Prec@5 85.938 (86.816) Epoch: [75][5460/10010] Time 0.323 (0.325) Data 0.000 (0.001) Loss 1.4203 (1.3627) Prec@1 67.969 (68.355) Prec@5 89.844 (86.815) Epoch: [75][5470/10010] Time 0.331 (0.325) Data 0.001 (0.001) Loss 1.3448 (1.3626) Prec@1 69.531 (68.359) Prec@5 85.156 (86.814) Epoch: [75][5480/10010] Time 0.335 (0.325) Data 0.001 (0.001) Loss 1.1260 (1.3625) Prec@1 72.656 (68.359) Prec@5 92.188 (86.818) Epoch: [75][5490/10010] Time 0.317 (0.325) Data 0.001 (0.001) Loss 1.4523 (1.3626) Prec@1 59.375 (68.356) Prec@5 87.500 (86.817) Epoch: [75][5500/10010] Time 0.334 (0.325) Data 0.000 (0.001) Loss 1.4497 (1.3625) Prec@1 63.281 (68.356) Prec@5 84.375 (86.817) Epoch: [75][5510/10010] Time 0.318 (0.325) Data 0.001 (0.001) Loss 1.3273 (1.3625) Prec@1 63.281 (68.354) Prec@5 85.938 (86.818) Epoch: [75][5520/10010] Time 0.320 (0.325) Data 0.001 (0.001) Loss 1.5036 (1.3624) Prec@1 73.438 (68.358) Prec@5 82.812 (86.819) Epoch: [75][5530/10010] Time 0.339 (0.325) Data 0.001 (0.001) Loss 1.3097 (1.3624) Prec@1 67.969 (68.360) Prec@5 89.844 (86.820) Epoch: [75][5540/10010] Time 0.337 (0.325) Data 0.000 (0.001) Loss 1.3003 (1.3624) Prec@1 67.969 (68.361) Prec@5 89.844 (86.822) Epoch: [75][5550/10010] Time 0.338 (0.325) Data 0.000 (0.001) Loss 1.3051 (1.3624) Prec@1 72.656 (68.360) Prec@5 88.281 (86.821) Epoch: [75][5560/10010] Time 0.339 (0.325) Data 0.001 (0.001) Loss 1.4535 (1.3624) Prec@1 66.406 (68.362) Prec@5 85.156 (86.818) Epoch: [75][5570/10010] Time 0.314 (0.325) Data 0.001 (0.001) Loss 1.2043 (1.3625) Prec@1 72.656 (68.358) Prec@5 89.062 (86.816) Epoch: [75][5580/10010] Time 0.337 (0.325) Data 0.001 (0.001) Loss 1.4451 (1.3626) Prec@1 67.969 (68.359) Prec@5 85.156 (86.816) Epoch: [75][5590/10010] Time 0.334 (0.325) Data 0.001 (0.001) Loss 1.4502 (1.3626) Prec@1 66.406 (68.359) Prec@5 84.375 (86.817) Epoch: [75][5600/10010] Time 0.310 (0.325) Data 0.001 (0.001) Loss 1.2755 (1.3627) Prec@1 75.000 (68.358) Prec@5 86.719 (86.816) Epoch: [75][5610/10010] Time 0.317 (0.325) Data 0.000 (0.001) Loss 1.1329 (1.3627) Prec@1 72.656 (68.356) Prec@5 89.062 (86.815) Epoch: [75][5620/10010] Time 0.325 (0.325) Data 0.000 (0.001) Loss 1.0250 (1.3628) Prec@1 75.781 (68.354) Prec@5 92.188 (86.817) Epoch: [75][5630/10010] Time 0.324 (0.325) Data 0.001 (0.001) Loss 1.2413 (1.3627) Prec@1 75.000 (68.354) Prec@5 89.062 (86.818) Epoch: [75][5640/10010] Time 0.321 (0.325) Data 0.000 (0.001) Loss 1.1696 (1.3627) Prec@1 71.094 (68.353) Prec@5 92.188 (86.819) /data/vision/torralba/deepscene/lib/anaconda2/lib/python2.7/site-packages/PIL/TiffImagePlugin.py:692: UserWarning: Possibly corrupt EXIF data. Expecting to read 2555904 bytes but only got 0. Skipping tag 0 "Skipping tag %s" % (size, len(data), tag)) Epoch: [75][5650/10010] Time 0.338 (0.325) Data 0.000 (0.001) Loss 1.3203 (1.3627) Prec@1 70.312 (68.353) Prec@5 88.281 (86.819) Epoch: [75][5660/10010] Time 0.341 (0.325) Data 0.000 (0.001) Loss 1.4620 (1.3627) Prec@1 64.844 (68.357) Prec@5 85.156 (86.820) Epoch: [75][5670/10010] Time 0.351 (0.325) Data 0.001 (0.001) Loss 1.4308 (1.3628) Prec@1 66.406 (68.352) Prec@5 87.500 (86.820) Epoch: [75][5680/10010] Time 0.338 (0.325) Data 0.001 (0.001) Loss 1.3136 (1.3630) Prec@1 72.656 (68.351) Prec@5 86.719 (86.818) /data/vision/torralba/deepscene/lib/anaconda2/lib/python2.7/site-packages/PIL/TiffImagePlugin.py:692: UserWarning: Possibly corrupt EXIF data. Expecting to read 19660800 bytes but only got 0. Skipping tag 0 "Skipping tag %s" % (size, len(data), tag)) /data/vision/torralba/deepscene/lib/anaconda2/lib/python2.7/site-packages/PIL/TiffImagePlugin.py:692: UserWarning: Possibly corrupt EXIF data. Expecting to read 18481152 bytes but only got 0. Skipping tag 0 "Skipping tag %s" % (size, len(data), tag)) /data/vision/torralba/deepscene/lib/anaconda2/lib/python2.7/site-packages/PIL/TiffImagePlugin.py:692: UserWarning: Possibly corrupt EXIF data. Expecting to read 37093376 bytes but only got 0. Skipping tag 0 "Skipping tag %s" % (size, len(data), tag)) /data/vision/torralba/deepscene/lib/anaconda2/lib/python2.7/site-packages/PIL/TiffImagePlugin.py:692: UserWarning: Possibly corrupt EXIF data. Expecting to read 39976960 bytes but only got 0. Skipping tag 0 "Skipping tag %s" % (size, len(data), tag)) /data/vision/torralba/deepscene/lib/anaconda2/lib/python2.7/site-packages/PIL/TiffImagePlugin.py:692: UserWarning: Possibly corrupt EXIF data. Expecting to read 34865152 bytes but only got 0. Skipping tag 0 "Skipping tag %s" % (size, len(data), tag)) /data/vision/torralba/deepscene/lib/anaconda2/lib/python2.7/site-packages/PIL/TiffImagePlugin.py:709: UserWarning: Corrupt EXIF data. Expecting to read 12 bytes but only got 10. warnings.warn(str(msg)) Epoch: [75][5690/10010] Time 0.327 (0.325) Data 0.001 (0.001) Loss 1.4746 (1.3632) Prec@1 62.500 (68.347) Prec@5 86.719 (86.814) Epoch: [75][5700/10010] Time 0.339 (0.325) Data 0.001 (0.001) Loss 1.4238 (1.3632) Prec@1 62.500 (68.345) Prec@5 86.719 (86.814) Epoch: [75][5710/10010] Time 0.325 (0.325) Data 0.000 (0.001) Loss 1.2168 (1.3630) Prec@1 66.406 (68.348) Prec@5 87.500 (86.819) Epoch: [75][5720/10010] Time 0.317 (0.325) Data 0.001 (0.001) Loss 1.3701 (1.3631) Prec@1 71.094 (68.349) Prec@5 86.719 (86.816) Epoch: [75][5730/10010] Time 0.315 (0.325) Data 0.001 (0.001) Loss 1.2722 (1.3629) Prec@1 68.750 (68.349) Prec@5 86.719 (86.819) Epoch: [75][5740/10010] Time 0.313 (0.325) Data 0.001 (0.001) Loss 1.5377 (1.3631) Prec@1 60.156 (68.344) Prec@5 84.375 (86.817) Epoch: [75][5750/10010] Time 0.337 (0.325) Data 0.001 (0.001) Loss 1.5514 (1.3630) Prec@1 64.844 (68.343) Prec@5 82.031 (86.818) Epoch: [75][5760/10010] Time 0.324 (0.325) Data 0.001 (0.001) Loss 1.2937 (1.3630) Prec@1 70.312 (68.343) Prec@5 83.594 (86.819) Epoch: [75][5770/10010] Time 0.332 (0.325) Data 0.001 (0.001) Loss 1.2199 (1.3631) Prec@1 71.094 (68.346) Prec@5 87.500 (86.816) Epoch: [75][5780/10010] Time 0.342 (0.325) Data 0.000 (0.001) Loss 1.6423 (1.3630) Prec@1 62.500 (68.350) Prec@5 78.125 (86.816) Epoch: [75][5790/10010] Time 0.333 (0.325) Data 0.001 (0.001) Loss 1.2147 (1.3631) Prec@1 69.531 (68.349) Prec@5 89.844 (86.814) Epoch: [75][5800/10010] Time 0.340 (0.325) Data 0.001 (0.001) Loss 1.3687 (1.3633) Prec@1 69.531 (68.347) Prec@5 85.938 (86.814) Epoch: [75][5810/10010] Time 0.332 (0.326) Data 0.001 (0.001) Loss 1.4013 (1.3635) Prec@1 70.312 (68.343) Prec@5 86.719 (86.810) Epoch: [75][5820/10010] Time 0.316 (0.326) Data 0.000 (0.001) Loss 1.3180 (1.3635) Prec@1 62.500 (68.343) Prec@5 91.406 (86.811) Epoch: [75][5830/10010] Time 0.319 (0.326) Data 0.001 (0.001) Loss 1.6464 (1.3634) Prec@1 62.500 (68.341) Prec@5 82.031 (86.811) Epoch: [75][5840/10010] Time 0.339 (0.326) Data 0.001 (0.001) Loss 1.4333 (1.3633) Prec@1 67.188 (68.342) Prec@5 83.594 (86.812) Epoch: [75][5850/10010] Time 0.315 (0.326) Data 0.000 (0.001) Loss 1.3347 (1.3634) Prec@1 68.750 (68.340) Prec@5 89.062 (86.811) Epoch: [75][5860/10010] Time 0.332 (0.326) Data 0.001 (0.001) Loss 1.3686 (1.3634) Prec@1 70.312 (68.342) Prec@5 85.938 (86.809) Epoch: [75][5870/10010] Time 0.323 (0.326) Data 0.001 (0.001) Loss 1.1928 (1.3633) Prec@1 71.875 (68.346) Prec@5 89.844 (86.809) Epoch: [75][5880/10010] Time 0.339 (0.326) Data 0.000 (0.001) Loss 1.6418 (1.3634) Prec@1 60.156 (68.343) Prec@5 85.156 (86.808) Epoch: [75][5890/10010] Time 0.319 (0.326) Data 0.001 (0.001) Loss 1.0807 (1.3633) Prec@1 73.438 (68.346) Prec@5 92.188 (86.810) Epoch: [75][5900/10010] Time 0.323 (0.326) Data 0.001 (0.001) Loss 1.2941 (1.3633) Prec@1 71.875 (68.347) Prec@5 89.062 (86.811) Epoch: [75][5910/10010] Time 0.336 (0.325) Data 0.001 (0.001) Loss 1.3800 (1.3633) Prec@1 71.875 (68.348) Prec@5 86.719 (86.810) Epoch: [75][5920/10010] Time 0.324 (0.326) Data 0.001 (0.001) Loss 1.4637 (1.3632) Prec@1 65.625 (68.352) Prec@5 86.719 (86.810) Epoch: [75][5930/10010] Time 0.313 (0.325) Data 0.000 (0.001) Loss 1.2210 (1.3633) Prec@1 67.969 (68.349) Prec@5 89.844 (86.808) Epoch: [75][5940/10010] Time 0.325 (0.325) Data 0.001 (0.001) Loss 1.4278 (1.3634) Prec@1 67.188 (68.347) Prec@5 88.281 (86.807) Epoch: [75][5950/10010] Time 0.327 (0.326) Data 0.001 (0.001) Loss 1.4615 (1.3633) Prec@1 67.188 (68.346) Prec@5 86.719 (86.809) Epoch: [75][5960/10010] Time 0.329 (0.325) Data 0.001 (0.001) Loss 1.3605 (1.3632) Prec@1 67.969 (68.350) Prec@5 88.281 (86.812) Epoch: [75][5970/10010] Time 0.330 (0.326) Data 0.001 (0.001) Loss 1.3290 (1.3631) Prec@1 64.844 (68.350) Prec@5 86.719 (86.813) Epoch: [75][5980/10010] Time 0.341 (0.326) Data 0.000 (0.001) Loss 1.2857 (1.3631) Prec@1 71.875 (68.352) Prec@5 89.062 (86.813) Epoch: [75][5990/10010] Time 0.335 (0.326) Data 0.001 (0.001) Loss 1.0865 (1.3631) Prec@1 71.875 (68.350) Prec@5 89.844 (86.812) Epoch: [75][6000/10010] Time 0.335 (0.326) Data 0.000 (0.001) Loss 1.6693 (1.3633) Prec@1 64.062 (68.343) Prec@5 82.812 (86.810) Epoch: [75][6010/10010] Time 0.321 (0.326) Data 0.001 (0.001) Loss 1.3017 (1.3634) Prec@1 69.531 (68.342) Prec@5 90.625 (86.810) Epoch: [75][6020/10010] Time 0.320 (0.326) Data 0.001 (0.001) Loss 1.1330 (1.3633) Prec@1 73.438 (68.344) Prec@5 89.844 (86.810) Epoch: [75][6030/10010] Time 0.315 (0.326) Data 0.001 (0.001) Loss 1.4647 (1.3633) Prec@1 65.625 (68.345) Prec@5 84.375 (86.811) Epoch: [75][6040/10010] Time 0.318 (0.326) Data 0.001 (0.001) Loss 1.3848 (1.3635) Prec@1 71.875 (68.342) Prec@5 86.719 (86.809) Epoch: [75][6050/10010] Time 0.339 (0.326) Data 0.000 (0.001) Loss 1.7668 (1.3637) Prec@1 57.812 (68.336) Prec@5 79.688 (86.805) Epoch: [75][6060/10010] Time 0.327 (0.326) Data 0.001 (0.001) Loss 1.2471 (1.3638) Prec@1 71.094 (68.333) Prec@5 86.719 (86.804) Epoch: [75][6070/10010] Time 0.330 (0.326) Data 0.001 (0.001) Loss 1.4034 (1.3639) Prec@1 64.844 (68.331) Prec@5 87.500 (86.802) Epoch: [75][6080/10010] Time 0.339 (0.326) Data 0.001 (0.001) Loss 1.2180 (1.3638) Prec@1 73.438 (68.329) Prec@5 90.625 (86.806) Epoch: [75][6090/10010] Time 0.323 (0.326) Data 0.001 (0.001) Loss 1.3318 (1.3638) Prec@1 64.844 (68.330) Prec@5 87.500 (86.807) Epoch: [75][6100/10010] Time 0.328 (0.326) Data 0.001 (0.001) Loss 1.3504 (1.3638) Prec@1 71.875 (68.329) Prec@5 86.719 (86.806) Epoch: [75][6110/10010] Time 0.329 (0.326) Data 0.001 (0.001) Loss 1.4615 (1.3639) Prec@1 67.188 (68.326) Prec@5 84.375 (86.804) Epoch: [75][6120/10010] Time 0.311 (0.326) Data 0.001 (0.001) Loss 1.3107 (1.3639) Prec@1 71.094 (68.326) Prec@5 85.938 (86.804) Epoch: [75][6130/10010] Time 0.320 (0.326) Data 0.000 (0.001) Loss 1.3025 (1.3639) Prec@1 68.750 (68.329) Prec@5 86.719 (86.806) Epoch: [75][6140/10010] Time 0.331 (0.326) Data 0.001 (0.001) Loss 1.7080 (1.3638) Prec@1 64.062 (68.329) Prec@5 81.250 (86.807) Epoch: [75][6150/10010] Time 0.320 (0.326) Data 0.000 (0.001) Loss 1.2997 (1.3637) Prec@1 69.531 (68.332) Prec@5 87.500 (86.809) Epoch: [75][6160/10010] Time 0.341 (0.326) Data 0.001 (0.001) Loss 1.3246 (1.3636) Prec@1 71.875 (68.334) Prec@5 87.500 (86.810) Epoch: [75][6170/10010] Time 0.321 (0.326) Data 0.001 (0.001) Loss 1.3209 (1.3635) Prec@1 67.969 (68.334) Prec@5 86.719 (86.812) Epoch: [75][6180/10010] Time 0.340 (0.326) Data 0.000 (0.001) Loss 1.3853 (1.3634) Prec@1 65.625 (68.334) Prec@5 85.156 (86.814) Epoch: [75][6190/10010] Time 0.322 (0.326) Data 0.001 (0.001) Loss 1.5531 (1.3635) Prec@1 62.500 (68.333) Prec@5 83.594 (86.813) Epoch: [75][6200/10010] Time 0.337 (0.326) Data 0.000 (0.001) Loss 1.4200 (1.3634) Prec@1 67.188 (68.333) Prec@5 85.938 (86.814) Epoch: [75][6210/10010] Time 0.328 (0.326) Data 0.001 (0.001) Loss 1.1656 (1.3633) Prec@1 73.438 (68.334) Prec@5 90.625 (86.816) Epoch: [75][6220/10010] Time 0.315 (0.326) Data 0.000 (0.001) Loss 1.2679 (1.3633) Prec@1 67.969 (68.335) Prec@5 90.625 (86.818) Epoch: [75][6230/10010] Time 0.325 (0.326) Data 0.000 (0.001) Loss 1.3872 (1.3634) Prec@1 66.406 (68.334) Prec@5 87.500 (86.817) Epoch: [75][6240/10010] Time 0.334 (0.326) Data 0.000 (0.001) Loss 1.1615 (1.3635) Prec@1 68.750 (68.330) Prec@5 89.062 (86.813) Epoch: [75][6250/10010] Time 0.319 (0.326) Data 0.001 (0.001) Loss 1.4896 (1.3636) Prec@1 65.625 (68.328) Prec@5 85.938 (86.811) Epoch: [75][6260/10010] Time 0.337 (0.326) Data 0.001 (0.001) Loss 1.0613 (1.3636) Prec@1 75.000 (68.329) Prec@5 92.188 (86.812) Epoch: [75][6270/10010] Time 0.336 (0.326) Data 0.001 (0.001) Loss 1.6113 (1.3636) Prec@1 61.719 (68.328) Prec@5 85.156 (86.812) Epoch: [75][6280/10010] Time 0.332 (0.326) Data 0.001 (0.001) Loss 1.3701 (1.3635) Prec@1 64.844 (68.329) Prec@5 84.375 (86.813) Epoch: [75][6290/10010] Time 0.323 (0.326) Data 0.001 (0.001) Loss 1.2559 (1.3636) Prec@1 73.438 (68.328) Prec@5 86.719 (86.810) Epoch: [75][6300/10010] Time 0.318 (0.326) Data 0.001 (0.001) Loss 1.1488 (1.3636) Prec@1 71.875 (68.327) Prec@5 90.625 (86.809) Epoch: [75][6310/10010] Time 0.314 (0.326) Data 0.001 (0.001) Loss 1.1795 (1.3636) Prec@1 71.094 (68.325) Prec@5 89.062 (86.809) Epoch: [75][6320/10010] Time 0.335 (0.326) Data 0.001 (0.001) Loss 1.3611 (1.3635) Prec@1 71.094 (68.325) Prec@5 85.156 (86.811) Epoch: [75][6330/10010] Time 0.326 (0.326) Data 0.001 (0.001) Loss 1.3968 (1.3635) Prec@1 69.531 (68.323) Prec@5 84.375 (86.810) Epoch: [75][6340/10010] Time 0.318 (0.326) Data 0.001 (0.001) Loss 1.3332 (1.3635) Prec@1 66.406 (68.322) Prec@5 88.281 (86.809) Epoch: [75][6350/10010] Time 0.320 (0.326) Data 0.001 (0.001) Loss 1.1237 (1.3635) Prec@1 75.000 (68.325) Prec@5 88.281 (86.809) /data/vision/torralba/deepscene/lib/anaconda2/lib/python2.7/site-packages/PIL/TiffImagePlugin.py:692: UserWarning: Possibly corrupt EXIF data. Expecting to read 2555904 bytes but only got 0. Skipping tag 0 "Skipping tag %s" % (size, len(data), tag)) Epoch: [75][6360/10010] Time 0.311 (0.326) Data 0.001 (0.001) Loss 1.1256 (1.3634) Prec@1 73.438 (68.326) Prec@5 91.406 (86.812) Epoch: [75][6370/10010] Time 0.321 (0.326) Data 0.001 (0.001) Loss 1.3115 (1.3634) Prec@1 70.312 (68.325) Prec@5 86.719 (86.813) Epoch: [75][6380/10010] Time 0.313 (0.326) Data 0.001 (0.001) Loss 1.3712 (1.3634) Prec@1 67.188 (68.325) Prec@5 88.281 (86.814) Epoch: [75][6390/10010] Time 0.335 (0.326) Data 0.001 (0.001) Loss 1.3200 (1.3632) Prec@1 71.094 (68.330) Prec@5 89.844 (86.817) Epoch: [75][6400/10010] Time 0.326 (0.326) Data 0.000 (0.001) Loss 1.5874 (1.3633) Prec@1 62.500 (68.327) Prec@5 82.031 (86.816) Epoch: [75][6410/10010] Time 0.330 (0.325) Data 0.001 (0.001) Loss 1.3050 (1.3632) Prec@1 73.438 (68.331) Prec@5 84.375 (86.816) Epoch: [75][6420/10010] Time 0.332 (0.325) Data 0.001 (0.001) Loss 1.7433 (1.3632) Prec@1 61.719 (68.331) Prec@5 81.250 (86.816) Epoch: [75][6430/10010] Time 0.318 (0.325) Data 0.001 (0.001) Loss 1.2809 (1.3633) Prec@1 69.531 (68.330) Prec@5 87.500 (86.814) Epoch: [75][6440/10010] Time 0.314 (0.325) Data 0.001 (0.001) Loss 1.3245 (1.3632) Prec@1 68.750 (68.332) Prec@5 89.062 (86.817) Epoch: [75][6450/10010] Time 0.324 (0.325) Data 0.001 (0.001) Loss 1.3296 (1.3632) Prec@1 65.625 (68.330) Prec@5 87.500 (86.818) Epoch: [75][6460/10010] Time 0.326 (0.325) Data 0.001 (0.001) Loss 1.2490 (1.3633) Prec@1 74.219 (68.326) Prec@5 85.156 (86.816) Epoch: [75][6470/10010] Time 0.333 (0.325) Data 0.000 (0.001) Loss 0.9970 (1.3632) Prec@1 75.781 (68.328) Prec@5 92.188 (86.817) Epoch: [75][6480/10010] Time 0.326 (0.325) Data 0.001 (0.001) Loss 1.2476 (1.3631) Prec@1 68.750 (68.326) Prec@5 87.500 (86.817) Epoch: [75][6490/10010] Time 0.322 (0.325) Data 0.001 (0.001) Loss 1.3741 (1.3631) Prec@1 69.531 (68.327) Prec@5 82.812 (86.816) Epoch: [75][6500/10010] Time 0.328 (0.325) Data 0.000 (0.001) Loss 1.2315 (1.3632) Prec@1 66.406 (68.328) Prec@5 92.188 (86.817) Epoch: [75][6510/10010] Time 0.333 (0.325) Data 0.001 (0.001) Loss 1.2059 (1.3631) Prec@1 74.219 (68.327) Prec@5 86.719 (86.820) Epoch: [75][6520/10010] Time 0.319 (0.325) Data 0.001 (0.001) Loss 1.3833 (1.3631) Prec@1 67.969 (68.330) Prec@5 86.719 (86.820) Epoch: [75][6530/10010] Time 0.314 (0.325) Data 0.001 (0.001) Loss 1.3472 (1.3630) Prec@1 68.750 (68.329) Prec@5 85.156 (86.821) Epoch: [75][6540/10010] Time 0.324 (0.325) Data 0.001 (0.001) Loss 1.1020 (1.3630) Prec@1 73.438 (68.331) Prec@5 87.500 (86.821) Epoch: [75][6550/10010] Time 0.321 (0.325) Data 0.000 (0.001) Loss 1.2775 (1.3631) Prec@1 67.188 (68.329) Prec@5 89.844 (86.820) Epoch: [75][6560/10010] Time 0.334 (0.325) Data 0.001 (0.001) Loss 1.5772 (1.3633) Prec@1 62.500 (68.327) Prec@5 82.031 (86.818) Epoch: [75][6570/10010] Time 0.342 (0.325) Data 0.000 (0.001) Loss 1.1486 (1.3632) Prec@1 71.875 (68.327) Prec@5 88.281 (86.819) Epoch: [75][6580/10010] Time 0.320 (0.325) Data 0.001 (0.001) Loss 1.1717 (1.3632) Prec@1 71.875 (68.326) Prec@5 89.062 (86.819) Epoch: [75][6590/10010] Time 0.324 (0.325) Data 0.001 (0.001) Loss 1.2142 (1.3631) Prec@1 71.875 (68.327) Prec@5 86.719 (86.821) Epoch: [75][6600/10010] Time 0.336 (0.325) Data 0.001 (0.001) Loss 1.2143 (1.3631) Prec@1 73.438 (68.327) Prec@5 89.062 (86.820) Epoch: [75][6610/10010] Time 0.343 (0.325) Data 0.001 (0.001) Loss 1.5204 (1.3631) Prec@1 71.875 (68.325) Prec@5 86.719 (86.819) Epoch: [75][6620/10010] Time 0.318 (0.325) Data 0.001 (0.001) Loss 1.3364 (1.3630) Prec@1 67.188 (68.325) Prec@5 89.062 (86.819) Epoch: [75][6630/10010] Time 0.325 (0.325) Data 0.001 (0.001) Loss 1.7608 (1.3631) Prec@1 64.062 (68.326) Prec@5 78.906 (86.819) Epoch: [75][6640/10010] Time 0.324 (0.325) Data 0.001 (0.001) Loss 1.3254 (1.3632) Prec@1 67.188 (68.324) Prec@5 88.281 (86.818) Epoch: [75][6650/10010] Time 0.340 (0.325) Data 0.001 (0.001) Loss 1.5924 (1.3632) Prec@1 67.969 (68.322) Prec@5 81.250 (86.818) Epoch: [75][6660/10010] Time 0.333 (0.325) Data 0.000 (0.001) Loss 1.4111 (1.3633) Prec@1 69.531 (68.321) Prec@5 87.500 (86.817) Epoch: [75][6670/10010] Time 0.336 (0.326) Data 0.001 (0.001) Loss 1.1789 (1.3633) Prec@1 71.875 (68.321) Prec@5 91.406 (86.819) Epoch: [75][6680/10010] Time 0.317 (0.326) Data 0.001 (0.001) Loss 1.2403 (1.3632) Prec@1 67.188 (68.321) Prec@5 90.625 (86.820) Epoch: [75][6690/10010] Time 0.315 (0.326) Data 0.000 (0.001) Loss 1.3044 (1.3632) Prec@1 73.438 (68.321) Prec@5 88.281 (86.821) Epoch: [75][6700/10010] Time 0.321 (0.326) Data 0.000 (0.001) Loss 1.4872 (1.3632) Prec@1 71.875 (68.322) Prec@5 84.375 (86.820) Epoch: [75][6710/10010] Time 0.319 (0.326) Data 0.000 (0.001) Loss 1.2582 (1.3633) Prec@1 68.750 (68.321) Prec@5 86.719 (86.820) Epoch: [75][6720/10010] Time 0.343 (0.326) Data 0.000 (0.001) Loss 1.5294 (1.3633) Prec@1 67.188 (68.323) Prec@5 81.250 (86.820) Epoch: [75][6730/10010] Time 0.328 (0.326) Data 0.000 (0.001) Loss 1.6032 (1.3633) Prec@1 62.500 (68.323) Prec@5 82.812 (86.818) Epoch: [75][6740/10010] Time 0.316 (0.326) Data 0.000 (0.001) Loss 1.0594 (1.3633) Prec@1 75.781 (68.323) Prec@5 89.844 (86.817) Epoch: [75][6750/10010] Time 0.314 (0.326) Data 0.001 (0.001) Loss 1.2622 (1.3633) Prec@1 72.656 (68.323) Prec@5 89.844 (86.818) Epoch: [75][6760/10010] Time 0.334 (0.326) Data 0.001 (0.001) Loss 1.2245 (1.3633) Prec@1 73.438 (68.323) Prec@5 86.719 (86.818) Epoch: [75][6770/10010] Time 0.324 (0.326) Data 0.001 (0.001) Loss 1.3366 (1.3634) Prec@1 72.656 (68.323) Prec@5 86.719 (86.817) Epoch: [75][6780/10010] Time 0.330 (0.326) Data 0.000 (0.001) Loss 1.4829 (1.3633) Prec@1 67.188 (68.324) Prec@5 82.812 (86.817) Epoch: [75][6790/10010] Time 0.320 (0.326) Data 0.000 (0.001) Loss 1.1969 (1.3633) Prec@1 72.656 (68.325) Prec@5 90.625 (86.817) Epoch: [75][6800/10010] Time 0.321 (0.326) Data 0.000 (0.001) Loss 1.4284 (1.3632) Prec@1 61.719 (68.327) Prec@5 89.062 (86.818) Epoch: [75][6810/10010] Time 0.332 (0.326) Data 0.001 (0.001) Loss 1.3846 (1.3631) Prec@1 66.406 (68.329) Prec@5 89.844 (86.820) Epoch: [75][6820/10010] Time 0.320 (0.326) Data 0.001 (0.001) Loss 1.4254 (1.3631) Prec@1 68.750 (68.328) Prec@5 85.156 (86.820) Epoch: [75][6830/10010] Time 0.337 (0.326) Data 0.000 (0.001) Loss 1.1819 (1.3632) Prec@1 70.312 (68.324) Prec@5 91.406 (86.820) Epoch: [75][6840/10010] Time 0.342 (0.326) Data 0.000 (0.001) Loss 1.2925 (1.3632) Prec@1 71.094 (68.324) Prec@5 87.500 (86.820) Epoch: [75][6850/10010] Time 0.325 (0.326) Data 0.001 (0.001) Loss 1.2697 (1.3632) Prec@1 71.094 (68.325) Prec@5 88.281 (86.820) Epoch: [75][6860/10010] Time 0.339 (0.326) Data 0.001 (0.001) Loss 1.2567 (1.3631) Prec@1 66.406 (68.325) Prec@5 86.719 (86.821) Epoch: [75][6870/10010] Time 0.322 (0.326) Data 0.000 (0.001) Loss 1.6931 (1.3632) Prec@1 64.062 (68.326) Prec@5 82.031 (86.819) Epoch: [75][6880/10010] Time 0.320 (0.326) Data 0.001 (0.001) Loss 1.2477 (1.3631) Prec@1 78.906 (68.331) Prec@5 90.625 (86.821) Epoch: [75][6890/10010] Time 0.325 (0.326) Data 0.001 (0.001) Loss 1.4613 (1.3632) Prec@1 64.062 (68.328) Prec@5 81.250 (86.819) Epoch: [75][6900/10010] Time 0.317 (0.326) Data 0.000 (0.001) Loss 1.2737 (1.3632) Prec@1 73.438 (68.328) Prec@5 87.500 (86.818) Epoch: [75][6910/10010] Time 0.321 (0.326) Data 0.001 (0.001) Loss 1.2733 (1.3632) Prec@1 70.312 (68.327) Prec@5 87.500 (86.818) Epoch: [75][6920/10010] Time 0.315 (0.326) Data 0.001 (0.001) Loss 1.5476 (1.3632) Prec@1 65.625 (68.325) Prec@5 83.594 (86.817) Epoch: [75][6930/10010] Time 0.323 (0.326) Data 0.000 (0.001) Loss 1.5136 (1.3633) Prec@1 61.719 (68.323) Prec@5 86.719 (86.819) Epoch: [75][6940/10010] Time 0.316 (0.326) Data 0.001 (0.001) Loss 1.1654 (1.3633) Prec@1 74.219 (68.325) Prec@5 89.844 (86.818) Epoch: [75][6950/10010] Time 0.339 (0.326) Data 0.001 (0.001) Loss 1.6709 (1.3633) Prec@1 59.375 (68.326) Prec@5 85.156 (86.818) Epoch: [75][6960/10010] Time 0.321 (0.326) Data 0.001 (0.001) Loss 1.4211 (1.3633) Prec@1 65.625 (68.325) Prec@5 85.156 (86.818) Epoch: [75][6970/10010] Time 0.339 (0.326) Data 0.000 (0.001) Loss 1.2802 (1.3634) Prec@1 64.844 (68.324) Prec@5 87.500 (86.817) Epoch: [75][6980/10010] Time 0.330 (0.326) Data 0.001 (0.001) Loss 1.5841 (1.3635) Prec@1 64.844 (68.322) Prec@5 86.719 (86.816) Epoch: [75][6990/10010] Time 0.317 (0.326) Data 0.001 (0.001) Loss 1.4316 (1.3635) Prec@1 64.844 (68.319) Prec@5 84.375 (86.815) Epoch: [75][7000/10010] Time 0.316 (0.326) Data 0.001 (0.001) Loss 1.5052 (1.3634) Prec@1 65.625 (68.324) Prec@5 84.375 (86.818) Epoch: [75][7010/10010] Time 0.331 (0.326) Data 0.000 (0.001) Loss 1.6208 (1.3634) Prec@1 62.500 (68.325) Prec@5 79.688 (86.819) Epoch: [75][7020/10010] Time 0.321 (0.326) Data 0.001 (0.001) Loss 1.4781 (1.3634) Prec@1 66.406 (68.323) Prec@5 85.938 (86.821) Epoch: [75][7030/10010] Time 0.314 (0.326) Data 0.000 (0.001) Loss 1.3758 (1.3635) Prec@1 66.406 (68.322) Prec@5 85.938 (86.820) Epoch: [75][7040/10010] Time 0.329 (0.326) Data 0.001 (0.001) Loss 1.1753 (1.3635) Prec@1 67.969 (68.323) Prec@5 88.281 (86.820) Epoch: [75][7050/10010] Time 0.336 (0.326) Data 0.000 (0.001) Loss 1.5982 (1.3635) Prec@1 63.281 (68.323) Prec@5 82.812 (86.821) Epoch: [75][7060/10010] Time 0.322 (0.326) Data 0.001 (0.001) Loss 1.3176 (1.3634) Prec@1 69.531 (68.322) Prec@5 89.844 (86.824) Epoch: [75][7070/10010] Time 0.339 (0.326) Data 0.001 (0.001) Loss 1.4510 (1.3634) Prec@1 67.188 (68.325) Prec@5 85.938 (86.823) Epoch: [75][7080/10010] Time 0.327 (0.326) Data 0.001 (0.001) Loss 1.3733 (1.3634) Prec@1 65.625 (68.322) Prec@5 87.500 (86.822) Epoch: [75][7090/10010] Time 0.320 (0.326) Data 0.001 (0.001) Loss 1.2252 (1.3635) Prec@1 70.312 (68.320) Prec@5 88.281 (86.822) Epoch: [75][7100/10010] Time 0.320 (0.326) Data 0.001 (0.001) Loss 1.0307 (1.3634) Prec@1 73.438 (68.320) Prec@5 93.750 (86.822) Epoch: [75][7110/10010] Time 0.336 (0.326) Data 0.001 (0.001) Loss 1.2039 (1.3632) Prec@1 74.219 (68.324) Prec@5 90.625 (86.823) Epoch: [75][7120/10010] Time 0.324 (0.326) Data 0.000 (0.001) Loss 1.3163 (1.3632) Prec@1 71.094 (68.322) Prec@5 85.938 (86.824) Epoch: [75][7130/10010] Time 0.332 (0.326) Data 0.000 (0.001) Loss 1.6890 (1.3633) Prec@1 65.625 (68.321) Prec@5 83.594 (86.822) Epoch: [75][7140/10010] Time 0.344 (0.326) Data 0.000 (0.001) Loss 1.3791 (1.3633) Prec@1 63.281 (68.322) Prec@5 85.938 (86.823) Epoch: [75][7150/10010] Time 0.326 (0.326) Data 0.000 (0.001) Loss 1.2046 (1.3632) Prec@1 71.094 (68.325) Prec@5 88.281 (86.824) Epoch: [75][7160/10010] Time 0.341 (0.326) Data 0.001 (0.001) Loss 1.1192 (1.3633) Prec@1 76.562 (68.323) Prec@5 88.281 (86.823) Epoch: [75][7170/10010] Time 0.338 (0.326) Data 0.000 (0.001) Loss 1.5966 (1.3633) Prec@1 65.625 (68.324) Prec@5 81.250 (86.823) Epoch: [75][7180/10010] Time 0.335 (0.326) Data 0.001 (0.001) Loss 1.7371 (1.3634) Prec@1 63.281 (68.322) Prec@5 82.812 (86.822) Epoch: [75][7190/10010] Time 0.345 (0.326) Data 0.000 (0.001) Loss 1.4396 (1.3634) Prec@1 64.062 (68.320) Prec@5 82.812 (86.822) Epoch: [75][7200/10010] Time 0.341 (0.326) Data 0.001 (0.001) Loss 1.5250 (1.3634) Prec@1 66.406 (68.321) Prec@5 82.812 (86.823) Epoch: [75][7210/10010] Time 0.320 (0.326) Data 0.000 (0.001) Loss 1.6056 (1.3634) Prec@1 62.500 (68.321) Prec@5 83.594 (86.822) Epoch: [75][7220/10010] Time 0.332 (0.326) Data 0.001 (0.001) Loss 1.5661 (1.3636) Prec@1 68.750 (68.317) Prec@5 81.250 (86.820) Epoch: [75][7230/10010] Time 0.340 (0.326) Data 0.001 (0.001) Loss 1.3897 (1.3636) Prec@1 65.625 (68.316) Prec@5 89.844 (86.819) Epoch: [75][7240/10010] Time 0.318 (0.326) Data 0.001 (0.001) Loss 1.4511 (1.3637) Prec@1 62.500 (68.315) Prec@5 87.500 (86.817) Epoch: [75][7250/10010] Time 0.323 (0.326) Data 0.001 (0.001) Loss 1.1914 (1.3637) Prec@1 74.219 (68.314) Prec@5 89.062 (86.816) Epoch: [75][7260/10010] Time 0.335 (0.326) Data 0.000 (0.001) Loss 1.4106 (1.3638) Prec@1 69.531 (68.311) Prec@5 85.156 (86.816) Epoch: [75][7270/10010] Time 0.313 (0.326) Data 0.000 (0.001) Loss 1.2790 (1.3639) Prec@1 70.312 (68.309) Prec@5 87.500 (86.815) Epoch: [75][7280/10010] Time 0.337 (0.326) Data 0.001 (0.001) Loss 1.3940 (1.3639) Prec@1 66.406 (68.309) Prec@5 88.281 (86.815) Epoch: [75][7290/10010] Time 0.316 (0.326) Data 0.001 (0.001) Loss 1.2213 (1.3641) Prec@1 66.406 (68.305) Prec@5 90.625 (86.814) Epoch: [75][7300/10010] Time 0.319 (0.326) Data 0.000 (0.001) Loss 1.2432 (1.3641) Prec@1 68.750 (68.305) Prec@5 89.844 (86.815) Epoch: [75][7310/10010] Time 0.317 (0.326) Data 0.001 (0.001) Loss 1.2036 (1.3641) Prec@1 69.531 (68.301) Prec@5 89.062 (86.817) Epoch: [75][7320/10010] Time 0.340 (0.326) Data 0.000 (0.001) Loss 1.0664 (1.3640) Prec@1 69.531 (68.301) Prec@5 91.406 (86.818) Epoch: [75][7330/10010] Time 0.332 (0.326) Data 0.001 (0.001) Loss 1.4605 (1.3640) Prec@1 64.062 (68.299) Prec@5 83.594 (86.817) Epoch: [75][7340/10010] Time 0.329 (0.326) Data 0.001 (0.001) Loss 1.2299 (1.3640) Prec@1 69.531 (68.300) Prec@5 88.281 (86.818) Epoch: [75][7350/10010] Time 0.342 (0.326) Data 0.001 (0.001) Loss 1.4238 (1.3641) Prec@1 69.531 (68.300) Prec@5 86.719 (86.816) Epoch: [75][7360/10010] Time 0.317 (0.326) Data 0.001 (0.001) Loss 1.5056 (1.3641) Prec@1 65.625 (68.299) Prec@5 83.594 (86.816) Epoch: [75][7370/10010] Time 0.320 (0.326) Data 0.000 (0.001) Loss 1.3153 (1.3642) Prec@1 71.094 (68.298) Prec@5 89.844 (86.815) Epoch: [75][7380/10010] Time 0.327 (0.326) Data 0.001 (0.001) Loss 1.2515 (1.3642) Prec@1 71.875 (68.299) Prec@5 88.281 (86.815) Epoch: [75][7390/10010] Time 0.321 (0.326) Data 0.001 (0.001) Loss 1.3981 (1.3642) Prec@1 67.188 (68.298) Prec@5 82.031 (86.814) Epoch: [75][7400/10010] Time 0.329 (0.326) Data 0.000 (0.001) Loss 1.1309 (1.3641) Prec@1 73.438 (68.300) Prec@5 89.062 (86.816) Epoch: [75][7410/10010] Time 0.322 (0.326) Data 0.001 (0.001) Loss 1.2019 (1.3640) Prec@1 70.312 (68.302) Prec@5 89.062 (86.816) Epoch: [75][7420/10010] Time 0.337 (0.326) Data 0.000 (0.001) Loss 1.2610 (1.3640) Prec@1 69.531 (68.303) Prec@5 92.188 (86.817) Epoch: [75][7430/10010] Time 0.325 (0.326) Data 0.001 (0.001) Loss 1.4797 (1.3643) Prec@1 69.531 (68.297) Prec@5 85.938 (86.814) Epoch: [75][7440/10010] Time 0.323 (0.326) Data 0.000 (0.001) Loss 1.5315 (1.3643) Prec@1 63.281 (68.297) Prec@5 85.938 (86.815) Epoch: [75][7450/10010] Time 0.327 (0.326) Data 0.001 (0.001) Loss 1.3672 (1.3643) Prec@1 66.406 (68.295) Prec@5 87.500 (86.815) Epoch: [75][7460/10010] Time 0.337 (0.326) Data 0.000 (0.001) Loss 1.2199 (1.3642) Prec@1 75.000 (68.296) Prec@5 88.281 (86.816) Epoch: [75][7470/10010] Time 0.331 (0.326) Data 0.001 (0.001) Loss 1.7255 (1.3644) Prec@1 60.938 (68.292) Prec@5 80.469 (86.812) Epoch: [75][7480/10010] Time 0.316 (0.326) Data 0.001 (0.001) Loss 1.2039 (1.3643) Prec@1 72.656 (68.294) Prec@5 86.719 (86.813) Epoch: [75][7490/10010] Time 0.318 (0.326) Data 0.001 (0.001) Loss 1.3394 (1.3643) Prec@1 72.656 (68.293) Prec@5 85.938 (86.813) Epoch: [75][7500/10010] Time 0.322 (0.326) Data 0.000 (0.001) Loss 1.0231 (1.3643) Prec@1 72.656 (68.292) Prec@5 90.625 (86.812) Epoch: [75][7510/10010] Time 0.316 (0.326) Data 0.001 (0.001) Loss 1.0987 (1.3644) Prec@1 74.219 (68.291) Prec@5 89.844 (86.811) Epoch: [75][7520/10010] Time 0.322 (0.326) Data 0.000 (0.001) Loss 1.4520 (1.3643) Prec@1 64.062 (68.292) Prec@5 85.156 (86.812) Epoch: [75][7530/10010] Time 0.318 (0.326) Data 0.001 (0.001) Loss 1.3004 (1.3643) Prec@1 67.969 (68.291) Prec@5 89.062 (86.812) Epoch: [75][7540/10010] Time 0.318 (0.326) Data 0.001 (0.001) Loss 1.3028 (1.3642) Prec@1 73.438 (68.294) Prec@5 89.062 (86.813) Epoch: [75][7550/10010] Time 0.323 (0.326) Data 0.001 (0.001) Loss 1.2883 (1.3641) Prec@1 69.531 (68.295) Prec@5 88.281 (86.815) Epoch: [75][7560/10010] Time 0.333 (0.326) Data 0.001 (0.001) Loss 1.1021 (1.3640) Prec@1 78.125 (68.298) Prec@5 89.844 (86.815) Epoch: [75][7570/10010] Time 0.323 (0.326) Data 0.000 (0.001) Loss 1.3492 (1.3641) Prec@1 66.406 (68.297) Prec@5 85.938 (86.813) Epoch: [75][7580/10010] Time 0.321 (0.326) Data 0.001 (0.001) Loss 1.1956 (1.3640) Prec@1 73.438 (68.299) Prec@5 91.406 (86.815) Epoch: [75][7590/10010] Time 0.313 (0.326) Data 0.001 (0.001) Loss 1.3123 (1.3640) Prec@1 71.094 (68.299) Prec@5 85.156 (86.817) Epoch: [75][7600/10010] Time 0.324 (0.326) Data 0.000 (0.001) Loss 1.3186 (1.3640) Prec@1 69.531 (68.298) Prec@5 85.938 (86.817) Epoch: [75][7610/10010] Time 0.332 (0.326) Data 0.000 (0.001) Loss 1.4880 (1.3640) Prec@1 64.844 (68.298) Prec@5 85.156 (86.817) Epoch: [75][7620/10010] Time 0.335 (0.326) Data 0.001 (0.001) Loss 1.3708 (1.3640) Prec@1 71.094 (68.298) Prec@5 86.719 (86.817) Epoch: [75][7630/10010] Time 0.321 (0.326) Data 0.000 (0.001) Loss 1.2026 (1.3640) Prec@1 75.781 (68.298) Prec@5 90.625 (86.817) Epoch: [75][7640/10010] Time 0.328 (0.326) Data 0.001 (0.001) Loss 1.2875 (1.3641) Prec@1 70.312 (68.296) Prec@5 88.281 (86.816) Epoch: [75][7650/10010] Time 0.325 (0.326) Data 0.000 (0.001) Loss 1.1559 (1.3641) Prec@1 70.312 (68.297) Prec@5 88.281 (86.816) Epoch: [75][7660/10010] Time 0.319 (0.326) Data 0.001 (0.001) Loss 1.3319 (1.3642) Prec@1 71.875 (68.297) Prec@5 81.250 (86.815) Epoch: [75][7670/10010] Time 0.328 (0.326) Data 0.001 (0.001) Loss 1.3804 (1.3643) Prec@1 64.062 (68.296) Prec@5 88.281 (86.812) Epoch: [75][7680/10010] Time 0.318 (0.326) Data 0.001 (0.001) Loss 1.4508 (1.3643) Prec@1 60.938 (68.297) Prec@5 85.156 (86.813) Epoch: [75][7690/10010] Time 0.316 (0.326) Data 0.000 (0.001) Loss 1.4378 (1.3642) Prec@1 67.188 (68.298) Prec@5 81.250 (86.813) Epoch: [75][7700/10010] Time 0.322 (0.326) Data 0.001 (0.001) Loss 1.4163 (1.3642) Prec@1 68.750 (68.298) Prec@5 88.281 (86.813) Epoch: [75][7710/10010] Time 0.322 (0.326) Data 0.000 (0.001) Loss 1.4696 (1.3643) Prec@1 65.625 (68.297) Prec@5 85.938 (86.812) Epoch: [75][7720/10010] Time 0.319 (0.326) Data 0.001 (0.001) Loss 1.3426 (1.3644) Prec@1 72.656 (68.295) Prec@5 90.625 (86.811) Epoch: [75][7730/10010] Time 0.316 (0.326) Data 0.000 (0.001) Loss 1.3697 (1.3644) Prec@1 68.750 (68.293) Prec@5 89.062 (86.812) Epoch: [75][7740/10010] Time 0.321 (0.326) Data 0.001 (0.001) Loss 1.4512 (1.3646) Prec@1 65.625 (68.289) Prec@5 84.375 (86.809) Epoch: [75][7750/10010] Time 0.319 (0.326) Data 0.001 (0.001) Loss 1.4260 (1.3645) Prec@1 69.531 (68.290) Prec@5 84.375 (86.810) Epoch: [75][7760/10010] Time 0.316 (0.326) Data 0.000 (0.001) Loss 1.1753 (1.3644) Prec@1 71.094 (68.291) Prec@5 90.625 (86.812) Epoch: [75][7770/10010] Time 0.322 (0.326) Data 0.000 (0.001) Loss 1.3711 (1.3645) Prec@1 67.188 (68.290) Prec@5 86.719 (86.811) Epoch: [75][7780/10010] Time 0.340 (0.326) Data 0.001 (0.001) Loss 1.3657 (1.3645) Prec@1 64.844 (68.287) Prec@5 88.281 (86.811) Epoch: [75][7790/10010] Time 0.338 (0.326) Data 0.000 (0.001) Loss 1.5847 (1.3646) Prec@1 66.406 (68.287) Prec@5 82.031 (86.810) Epoch: [75][7800/10010] Time 0.309 (0.326) Data 0.001 (0.001) Loss 1.2720 (1.3646) Prec@1 68.750 (68.287) Prec@5 91.406 (86.810) Epoch: [75][7810/10010] Time 0.343 (0.326) Data 0.001 (0.001) Loss 1.3843 (1.3645) Prec@1 71.875 (68.289) Prec@5 85.938 (86.811) Epoch: [75][7820/10010] Time 0.321 (0.326) Data 0.001 (0.001) Loss 1.6068 (1.3646) Prec@1 65.625 (68.287) Prec@5 83.594 (86.809) Epoch: [75][7830/10010] Time 0.316 (0.326) Data 0.001 (0.001) Loss 1.3303 (1.3646) Prec@1 67.969 (68.286) Prec@5 87.500 (86.811) Epoch: [75][7840/10010] Time 0.334 (0.326) Data 0.001 (0.001) Loss 1.3298 (1.3646) Prec@1 69.531 (68.286) Prec@5 88.281 (86.811) Epoch: [75][7850/10010] Time 0.314 (0.326) Data 0.000 (0.001) Loss 1.6596 (1.3648) Prec@1 64.062 (68.283) Prec@5 82.812 (86.809) Epoch: [75][7860/10010] Time 0.326 (0.326) Data 0.001 (0.001) Loss 1.2684 (1.3648) Prec@1 67.188 (68.282) Prec@5 87.500 (86.808) Epoch: [75][7870/10010] Time 0.327 (0.326) Data 0.001 (0.001) Loss 1.1948 (1.3646) Prec@1 69.531 (68.287) Prec@5 89.844 (86.810) Epoch: [75][7880/10010] Time 0.321 (0.326) Data 0.001 (0.001) Loss 1.1506 (1.3644) Prec@1 71.875 (68.290) Prec@5 91.406 (86.813) Epoch: [75][7890/10010] Time 0.315 (0.326) Data 0.001 (0.001) Loss 1.4976 (1.3644) Prec@1 64.062 (68.292) Prec@5 85.156 (86.815) Epoch: [75][7900/10010] Time 0.333 (0.326) Data 0.001 (0.001) Loss 1.4253 (1.3644) Prec@1 67.188 (68.289) Prec@5 87.500 (86.815) Epoch: [75][7910/10010] Time 0.317 (0.326) Data 0.000 (0.001) Loss 1.3804 (1.3645) Prec@1 69.531 (68.288) Prec@5 85.938 (86.814) Epoch: [75][7920/10010] Time 0.336 (0.326) Data 0.001 (0.001) Loss 1.2732 (1.3645) Prec@1 65.625 (68.287) Prec@5 87.500 (86.815) Epoch: [75][7930/10010] Time 0.314 (0.326) Data 0.001 (0.001) Loss 1.4772 (1.3644) Prec@1 71.875 (68.288) Prec@5 83.594 (86.816) Epoch: [75][7940/10010] Time 0.327 (0.326) Data 0.000 (0.001) Loss 1.1282 (1.3644) Prec@1 70.312 (68.288) Prec@5 90.625 (86.817) Epoch: [75][7950/10010] Time 0.320 (0.326) Data 0.001 (0.001) Loss 1.0608 (1.3645) Prec@1 72.656 (68.287) Prec@5 92.188 (86.817) Epoch: [75][7960/10010] Time 0.336 (0.326) Data 0.001 (0.001) Loss 1.3762 (1.3644) Prec@1 65.625 (68.285) Prec@5 89.062 (86.818) Epoch: [75][7970/10010] Time 0.310 (0.326) Data 0.000 (0.001) Loss 1.3078 (1.3645) Prec@1 68.750 (68.286) Prec@5 91.406 (86.818) Epoch: [75][7980/10010] Time 0.330 (0.326) Data 0.001 (0.001) Loss 0.9314 (1.3643) Prec@1 76.562 (68.289) Prec@5 92.969 (86.821) Epoch: [75][7990/10010] Time 0.335 (0.326) Data 0.001 (0.001) Loss 1.2926 (1.3644) Prec@1 73.438 (68.289) Prec@5 85.156 (86.821) Epoch: [75][8000/10010] Time 0.338 (0.326) Data 0.001 (0.001) Loss 1.3765 (1.3643) Prec@1 66.406 (68.291) Prec@5 87.500 (86.822) Epoch: [75][8010/10010] Time 0.319 (0.326) Data 0.001 (0.001) Loss 1.3083 (1.3644) Prec@1 65.625 (68.289) Prec@5 89.062 (86.820) Epoch: [75][8020/10010] Time 0.319 (0.326) Data 0.000 (0.001) Loss 1.5361 (1.3644) Prec@1 62.500 (68.289) Prec@5 82.812 (86.820) Epoch: [75][8030/10010] Time 0.323 (0.326) Data 0.001 (0.001) Loss 1.6948 (1.3644) Prec@1 60.938 (68.289) Prec@5 83.594 (86.820) Epoch: [75][8040/10010] Time 0.337 (0.326) Data 0.001 (0.001) Loss 1.3160 (1.3644) Prec@1 71.094 (68.288) Prec@5 87.500 (86.819) Epoch: [75][8050/10010] Time 0.334 (0.326) Data 0.001 (0.001) Loss 1.0351 (1.3644) Prec@1 76.562 (68.287) Prec@5 92.969 (86.819) Epoch: [75][8060/10010] Time 0.318 (0.326) Data 0.001 (0.001) Loss 1.5663 (1.3644) Prec@1 64.844 (68.286) Prec@5 84.375 (86.820) Epoch: [75][8070/10010] Time 0.326 (0.326) Data 0.001 (0.001) Loss 1.2318 (1.3644) Prec@1 66.406 (68.286) Prec@5 90.625 (86.820) Epoch: [75][8080/10010] Time 0.336 (0.326) Data 0.001 (0.001) Loss 1.3377 (1.3644) Prec@1 66.406 (68.286) Prec@5 89.844 (86.820) Epoch: [75][8090/10010] Time 0.329 (0.326) Data 0.001 (0.001) Loss 1.5344 (1.3644) Prec@1 64.844 (68.285) Prec@5 82.031 (86.821) Epoch: [75][8100/10010] Time 0.337 (0.326) Data 0.001 (0.001) Loss 1.2845 (1.3645) Prec@1 71.094 (68.284) Prec@5 86.719 (86.820) Epoch: [75][8110/10010] Time 0.323 (0.326) Data 0.001 (0.001) Loss 1.4973 (1.3645) Prec@1 66.406 (68.285) Prec@5 83.594 (86.819) Epoch: [75][8120/10010] Time 0.337 (0.326) Data 0.000 (0.001) Loss 1.2922 (1.3644) Prec@1 72.656 (68.286) Prec@5 89.062 (86.821) Epoch: [75][8130/10010] Time 0.318 (0.326) Data 0.001 (0.001) Loss 1.1967 (1.3645) Prec@1 67.969 (68.283) Prec@5 91.406 (86.821) Epoch: [75][8140/10010] Time 0.341 (0.326) Data 0.000 (0.001) Loss 1.3350 (1.3645) Prec@1 66.406 (68.284) Prec@5 85.938 (86.820) Epoch: [75][8150/10010] Time 0.332 (0.326) Data 0.001 (0.001) Loss 1.4835 (1.3646) Prec@1 67.969 (68.282) Prec@5 85.938 (86.818) Epoch: [75][8160/10010] Time 0.314 (0.326) Data 0.000 (0.001) Loss 1.7078 (1.3647) Prec@1 61.719 (68.279) Prec@5 82.812 (86.816) Epoch: [75][8170/10010] Time 0.327 (0.326) Data 0.001 (0.001) Loss 1.4134 (1.3648) Prec@1 64.844 (68.277) Prec@5 88.281 (86.814) Epoch: [75][8180/10010] Time 0.341 (0.326) Data 0.001 (0.001) Loss 1.0268 (1.3648) Prec@1 75.000 (68.278) Prec@5 92.969 (86.814) Epoch: [75][8190/10010] Time 0.319 (0.326) Data 0.001 (0.001) Loss 1.5360 (1.3649) Prec@1 67.969 (68.277) Prec@5 84.375 (86.814) Epoch: [75][8200/10010] Time 0.336 (0.326) Data 0.001 (0.001) Loss 1.3035 (1.3648) Prec@1 69.531 (68.279) Prec@5 89.844 (86.813) Epoch: [75][8210/10010] Time 0.330 (0.326) Data 0.001 (0.001) Loss 1.2905 (1.3649) Prec@1 69.531 (68.277) Prec@5 87.500 (86.813) Epoch: [75][8220/10010] Time 0.339 (0.326) Data 0.000 (0.001) Loss 1.4625 (1.3649) Prec@1 67.188 (68.276) Prec@5 82.812 (86.812) Epoch: [75][8230/10010] Time 0.331 (0.326) Data 0.001 (0.001) Loss 1.3391 (1.3650) Prec@1 69.531 (68.276) Prec@5 85.938 (86.810) Epoch: [75][8240/10010] Time 0.315 (0.326) Data 0.001 (0.001) Loss 1.0560 (1.3650) Prec@1 75.000 (68.276) Prec@5 89.844 (86.809) Epoch: [75][8250/10010] Time 0.334 (0.326) Data 0.001 (0.001) Loss 1.3583 (1.3649) Prec@1 68.750 (68.279) Prec@5 85.156 (86.810) Epoch: [75][8260/10010] Time 0.322 (0.326) Data 0.001 (0.001) Loss 1.5858 (1.3650) Prec@1 65.625 (68.278) Prec@5 84.375 (86.810) Epoch: [75][8270/10010] Time 0.315 (0.326) Data 0.001 (0.001) Loss 1.4158 (1.3649) Prec@1 68.750 (68.279) Prec@5 88.281 (86.810) Epoch: [75][8280/10010] Time 0.330 (0.326) Data 0.001 (0.001) Loss 1.4835 (1.3650) Prec@1 68.750 (68.278) Prec@5 86.719 (86.808) Epoch: [75][8290/10010] Time 0.321 (0.326) Data 0.001 (0.001) Loss 1.5776 (1.3650) Prec@1 64.844 (68.278) Prec@5 83.594 (86.809) Epoch: [75][8300/10010] Time 0.320 (0.326) Data 0.001 (0.001) Loss 1.1995 (1.3651) Prec@1 74.219 (68.279) Prec@5 89.844 (86.808) Epoch: [75][8310/10010] Time 0.328 (0.326) Data 0.000 (0.001) Loss 1.4394 (1.3651) Prec@1 68.750 (68.278) Prec@5 84.375 (86.809) Epoch: [75][8320/10010] Time 0.340 (0.326) Data 0.001 (0.001) Loss 1.7294 (1.3651) Prec@1 64.844 (68.279) Prec@5 82.812 (86.810) Epoch: [75][8330/10010] Time 0.322 (0.326) Data 0.001 (0.001) Loss 1.6135 (1.3651) Prec@1 60.156 (68.277) Prec@5 82.031 (86.810) Epoch: [75][8340/10010] Time 0.331 (0.326) Data 0.001 (0.001) Loss 1.2675 (1.3651) Prec@1 72.656 (68.276) Prec@5 85.156 (86.809) Epoch: [75][8350/10010] Time 0.335 (0.326) Data 0.001 (0.001) Loss 1.5111 (1.3652) Prec@1 67.188 (68.275) Prec@5 85.156 (86.809) Epoch: [75][8360/10010] Time 0.314 (0.326) Data 0.001 (0.001) Loss 1.5185 (1.3652) Prec@1 65.625 (68.276) Prec@5 85.938 (86.809) Epoch: [75][8370/10010] Time 0.330 (0.326) Data 0.001 (0.001) Loss 1.4203 (1.3652) Prec@1 62.500 (68.276) Prec@5 87.500 (86.808) Epoch: [75][8380/10010] Time 0.341 (0.326) Data 0.001 (0.001) Loss 1.1438 (1.3652) Prec@1 68.750 (68.275) Prec@5 92.188 (86.809) Epoch: [75][8390/10010] Time 0.325 (0.326) Data 0.001 (0.001) Loss 1.4942 (1.3652) Prec@1 66.406 (68.273) Prec@5 84.375 (86.808) Epoch: [75][8400/10010] Time 0.338 (0.326) Data 0.001 (0.001) Loss 1.1864 (1.3652) Prec@1 71.094 (68.273) Prec@5 85.938 (86.807) Epoch: [75][8410/10010] Time 0.329 (0.326) Data 0.001 (0.001) Loss 1.2842 (1.3652) Prec@1 70.312 (68.274) Prec@5 90.625 (86.807) Epoch: [75][8420/10010] Time 0.319 (0.326) Data 0.001 (0.001) Loss 1.4243 (1.3652) Prec@1 68.750 (68.272) Prec@5 83.594 (86.808) Epoch: [75][8430/10010] Time 0.342 (0.326) Data 0.000 (0.001) Loss 1.1802 (1.3652) Prec@1 71.875 (68.272) Prec@5 91.406 (86.809) Epoch: [75][8440/10010] Time 0.320 (0.326) Data 0.001 (0.001) Loss 1.3708 (1.3652) Prec@1 71.875 (68.273) Prec@5 88.281 (86.808) Epoch: [75][8450/10010] Time 0.328 (0.326) Data 0.001 (0.001) Loss 1.2023 (1.3652) Prec@1 71.094 (68.273) Prec@5 87.500 (86.808) Epoch: [75][8460/10010] Time 0.323 (0.326) Data 0.001 (0.001) Loss 1.5040 (1.3652) Prec@1 60.156 (68.273) Prec@5 86.719 (86.809) Epoch: [75][8470/10010] Time 0.316 (0.326) Data 0.000 (0.001) Loss 1.3506 (1.3652) Prec@1 68.750 (68.273) Prec@5 85.156 (86.809) Epoch: [75][8480/10010] Time 0.317 (0.326) Data 0.001 (0.001) Loss 1.4457 (1.3653) Prec@1 67.188 (68.273) Prec@5 83.594 (86.807) Epoch: [75][8490/10010] Time 0.316 (0.326) Data 0.001 (0.001) Loss 1.4223 (1.3652) Prec@1 71.875 (68.276) Prec@5 84.375 (86.807) Epoch: [75][8500/10010] Time 0.318 (0.326) Data 0.001 (0.001) Loss 1.4456 (1.3653) Prec@1 67.969 (68.275) Prec@5 87.500 (86.807) Epoch: [75][8510/10010] Time 0.319 (0.326) Data 0.001 (0.001) Loss 1.1831 (1.3653) Prec@1 72.656 (68.273) Prec@5 89.062 (86.806) Epoch: [75][8520/10010] Time 0.333 (0.326) Data 0.001 (0.001) Loss 1.2967 (1.3654) Prec@1 69.531 (68.273) Prec@5 87.500 (86.805) Epoch: [75][8530/10010] Time 0.340 (0.326) Data 0.001 (0.001) Loss 1.3341 (1.3654) Prec@1 69.531 (68.275) Prec@5 85.156 (86.805) Epoch: [75][8540/10010] Time 0.325 (0.326) Data 0.001 (0.001) Loss 1.2776 (1.3654) Prec@1 67.188 (68.273) Prec@5 89.844 (86.806) Epoch: [75][8550/10010] Time 0.315 (0.326) Data 0.001 (0.001) Loss 1.4146 (1.3653) Prec@1 61.719 (68.273) Prec@5 87.500 (86.808) Epoch: [75][8560/10010] Time 0.334 (0.326) Data 0.001 (0.001) Loss 1.2166 (1.3653) Prec@1 72.656 (68.273) Prec@5 91.406 (86.808) Epoch: [75][8570/10010] Time 0.331 (0.326) Data 0.001 (0.001) Loss 1.2296 (1.3654) Prec@1 70.312 (68.271) Prec@5 89.062 (86.808) Epoch: [75][8580/10010] Time 0.324 (0.326) Data 0.001 (0.001) Loss 1.4036 (1.3654) Prec@1 69.531 (68.272) Prec@5 85.938 (86.808) Epoch: [75][8590/10010] Time 0.325 (0.326) Data 0.000 (0.001) Loss 1.3893 (1.3654) Prec@1 68.750 (68.273) Prec@5 87.500 (86.808) /data/vision/torralba/deepscene/lib/anaconda2/lib/python2.7/site-packages/PIL/TiffImagePlugin.py:709: UserWarning: Corrupt EXIF data. Expecting to read 4 bytes but only got 0. warnings.warn(str(msg)) Epoch: [75][8600/10010] Time 0.336 (0.326) Data 0.001 (0.001) Loss 1.3030 (1.3653) Prec@1 72.656 (68.274) Prec@5 87.500 (86.808) Epoch: [75][8610/10010] Time 0.331 (0.326) Data 0.001 (0.001) Loss 1.6446 (1.3654) Prec@1 66.406 (68.276) Prec@5 83.594 (86.807) Epoch: [75][8620/10010] Time 0.335 (0.326) Data 0.001 (0.001) Loss 1.1893 (1.3654) Prec@1 67.969 (68.277) Prec@5 88.281 (86.808) Epoch: [75][8630/10010] Time 0.321 (0.326) Data 0.001 (0.001) Loss 1.2214 (1.3654) Prec@1 70.312 (68.277) Prec@5 88.281 (86.808) Epoch: [75][8640/10010] Time 0.324 (0.326) Data 0.001 (0.001) Loss 1.3900 (1.3653) Prec@1 64.062 (68.278) Prec@5 87.500 (86.809) Epoch: [75][8650/10010] Time 0.322 (0.326) Data 0.000 (0.001) Loss 1.4914 (1.3654) Prec@1 66.406 (68.278) Prec@5 83.594 (86.808) Epoch: [75][8660/10010] Time 0.326 (0.326) Data 0.001 (0.001) Loss 1.3549 (1.3654) Prec@1 71.094 (68.279) Prec@5 86.719 (86.807) Epoch: [75][8670/10010] Time 0.317 (0.326) Data 0.001 (0.001) Loss 1.4103 (1.3653) Prec@1 69.531 (68.281) Prec@5 85.938 (86.809) Epoch: [75][8680/10010] Time 0.329 (0.326) Data 0.001 (0.001) Loss 1.5292 (1.3653) Prec@1 67.188 (68.281) Prec@5 83.594 (86.808) Epoch: [75][8690/10010] Time 0.322 (0.326) Data 0.000 (0.001) Loss 1.1538 (1.3653) Prec@1 72.656 (68.282) Prec@5 89.062 (86.808) Epoch: [75][8700/10010] Time 0.324 (0.326) Data 0.001 (0.001) Loss 1.3573 (1.3652) Prec@1 69.531 (68.285) Prec@5 87.500 (86.809) Epoch: [75][8710/10010] Time 0.324 (0.326) Data 0.001 (0.001) Loss 1.5117 (1.3653) Prec@1 64.062 (68.283) Prec@5 82.031 (86.807) Epoch: [75][8720/10010] Time 0.329 (0.326) Data 0.000 (0.001) Loss 1.4680 (1.3652) Prec@1 69.531 (68.285) Prec@5 85.938 (86.807) Epoch: [75][8730/10010] Time 0.323 (0.326) Data 0.000 (0.001) Loss 1.3488 (1.3652) Prec@1 67.188 (68.286) Prec@5 88.281 (86.807) Epoch: [75][8740/10010] Time 0.329 (0.326) Data 0.001 (0.001) Loss 1.3098 (1.3652) Prec@1 68.750 (68.285) Prec@5 90.625 (86.808) Epoch: [75][8750/10010] Time 0.331 (0.326) Data 0.003 (0.001) Loss 1.5909 (1.3651) Prec@1 67.188 (68.288) Prec@5 82.812 (86.810) Epoch: [75][8760/10010] Time 0.323 (0.326) Data 0.001 (0.001) Loss 1.3193 (1.3652) Prec@1 67.188 (68.287) Prec@5 87.500 (86.810) Epoch: [75][8770/10010] Time 0.323 (0.326) Data 0.000 (0.001) Loss 1.2527 (1.3652) Prec@1 68.750 (68.284) Prec@5 87.500 (86.810) Epoch: [75][8780/10010] Time 0.340 (0.326) Data 0.001 (0.001) Loss 1.4253 (1.3653) Prec@1 67.969 (68.283) Prec@5 85.938 (86.808) Epoch: [75][8790/10010] Time 0.313 (0.326) Data 0.001 (0.001) Loss 1.3915 (1.3653) Prec@1 67.188 (68.281) Prec@5 85.156 (86.807) Epoch: [75][8800/10010] Time 0.339 (0.326) Data 0.001 (0.001) Loss 1.1204 (1.3653) Prec@1 71.094 (68.281) Prec@5 91.406 (86.808) Epoch: [75][8810/10010] Time 0.330 (0.326) Data 0.001 (0.001) Loss 1.3793 (1.3654) Prec@1 67.188 (68.280) Prec@5 87.500 (86.805) Epoch: [75][8820/10010] Time 0.333 (0.326) Data 0.001 (0.001) Loss 1.3567 (1.3654) Prec@1 66.406 (68.281) Prec@5 89.844 (86.806) Epoch: [75][8830/10010] Time 0.327 (0.326) Data 0.000 (0.001) Loss 1.3728 (1.3654) Prec@1 71.094 (68.281) Prec@5 85.156 (86.806) Epoch: [75][8840/10010] Time 0.316 (0.326) Data 0.000 (0.001) Loss 1.6098 (1.3654) Prec@1 64.062 (68.280) Prec@5 82.812 (86.806) Epoch: [75][8850/10010] Time 0.340 (0.326) Data 0.000 (0.001) Loss 1.4602 (1.3654) Prec@1 61.719 (68.280) Prec@5 86.719 (86.806) Epoch: [75][8860/10010] Time 0.320 (0.326) Data 0.001 (0.001) Loss 1.2644 (1.3654) Prec@1 73.438 (68.280) Prec@5 89.062 (86.807) Epoch: [75][8870/10010] Time 0.347 (0.326) Data 0.000 (0.001) Loss 1.4554 (1.3654) Prec@1 64.844 (68.280) Prec@5 85.156 (86.807) Epoch: [75][8880/10010] Time 0.326 (0.326) Data 0.001 (0.001) Loss 1.2981 (1.3654) Prec@1 73.438 (68.282) Prec@5 85.938 (86.807) Epoch: [75][8890/10010] Time 0.339 (0.326) Data 0.001 (0.001) Loss 1.4250 (1.3654) Prec@1 64.844 (68.281) Prec@5 82.812 (86.808) Epoch: [75][8900/10010] Time 0.338 (0.326) Data 0.001 (0.001) Loss 1.3367 (1.3655) Prec@1 71.875 (68.281) Prec@5 87.500 (86.806) Epoch: [75][8910/10010] Time 0.322 (0.326) Data 0.001 (0.001) Loss 1.4659 (1.3654) Prec@1 65.625 (68.283) Prec@5 88.281 (86.806) Epoch: [75][8920/10010] Time 0.333 (0.326) Data 0.000 (0.001) Loss 1.6275 (1.3655) Prec@1 64.062 (68.283) Prec@5 83.594 (86.805) Epoch: [75][8930/10010] Time 0.317 (0.326) Data 0.000 (0.001) Loss 1.6059 (1.3655) Prec@1 60.156 (68.284) Prec@5 83.594 (86.806) Epoch: [75][8940/10010] Time 0.330 (0.326) Data 0.001 (0.001) Loss 1.5195 (1.3656) Prec@1 67.188 (68.281) Prec@5 83.594 (86.804) Epoch: [75][8950/10010] Time 0.323 (0.326) Data 0.001 (0.001) Loss 1.3589 (1.3657) Prec@1 64.844 (68.279) Prec@5 87.500 (86.803) Epoch: [75][8960/10010] Time 0.328 (0.326) Data 0.001 (0.001) Loss 1.1657 (1.3658) Prec@1 69.531 (68.276) Prec@5 91.406 (86.801) Epoch: [75][8970/10010] Time 0.312 (0.326) Data 0.001 (0.001) Loss 1.6140 (1.3659) Prec@1 57.031 (68.274) Prec@5 82.812 (86.800) Epoch: [75][8980/10010] Time 0.316 (0.326) Data 0.001 (0.001) Loss 1.4352 (1.3660) Prec@1 63.281 (68.271) Prec@5 86.719 (86.798) Epoch: [75][8990/10010] Time 0.334 (0.326) Data 0.001 (0.001) Loss 1.6430 (1.3660) Prec@1 65.625 (68.271) Prec@5 83.594 (86.799) Epoch: [75][9000/10010] Time 0.319 (0.326) Data 0.001 (0.001) Loss 1.6829 (1.3659) Prec@1 66.406 (68.273) Prec@5 82.812 (86.799) Epoch: [75][9010/10010] Time 0.320 (0.326) Data 0.001 (0.001) Loss 1.4321 (1.3658) Prec@1 67.969 (68.273) Prec@5 85.938 (86.800) Epoch: [75][9020/10010] Time 0.323 (0.326) Data 0.001 (0.001) Loss 1.3706 (1.3658) Prec@1 67.969 (68.273) Prec@5 87.500 (86.800) Epoch: [75][9030/10010] Time 0.314 (0.326) Data 0.001 (0.001) Loss 1.5488 (1.3658) Prec@1 64.062 (68.273) Prec@5 84.375 (86.800) Epoch: [75][9040/10010] Time 0.332 (0.326) Data 0.001 (0.001) Loss 1.3496 (1.3658) Prec@1 67.188 (68.274) Prec@5 89.844 (86.801) Epoch: [75][9050/10010] Time 0.337 (0.326) Data 0.001 (0.001) Loss 1.1036 (1.3658) Prec@1 73.438 (68.275) Prec@5 90.625 (86.800) Epoch: [75][9060/10010] Time 0.332 (0.326) Data 0.001 (0.001) Loss 1.5612 (1.3658) Prec@1 62.500 (68.274) Prec@5 85.156 (86.799) Epoch: [75][9070/10010] Time 0.325 (0.326) Data 0.001 (0.001) Loss 1.1739 (1.3658) Prec@1 75.000 (68.275) Prec@5 89.062 (86.799) Epoch: [75][9080/10010] Time 0.315 (0.326) Data 0.000 (0.001) Loss 1.4221 (1.3658) Prec@1 66.406 (68.273) Prec@5 88.281 (86.798) Epoch: [75][9090/10010] Time 0.336 (0.326) Data 0.001 (0.001) Loss 1.1173 (1.3659) Prec@1 75.000 (68.274) Prec@5 89.844 (86.797) Epoch: [75][9100/10010] Time 0.323 (0.326) Data 0.001 (0.001) Loss 1.2428 (1.3659) Prec@1 70.312 (68.275) Prec@5 87.500 (86.797) Epoch: [75][9110/10010] Time 0.329 (0.326) Data 0.001 (0.001) Loss 1.7033 (1.3660) Prec@1 67.188 (68.273) Prec@5 83.594 (86.795) Epoch: [75][9120/10010] Time 0.340 (0.326) Data 0.001 (0.001) Loss 1.0332 (1.3660) Prec@1 76.562 (68.274) Prec@5 92.969 (86.795) Epoch: [75][9130/10010] Time 0.333 (0.326) Data 0.001 (0.001) Loss 1.5774 (1.3660) Prec@1 66.406 (68.273) Prec@5 86.719 (86.795) Epoch: [75][9140/10010] Time 0.341 (0.326) Data 0.001 (0.001) Loss 1.5638 (1.3660) Prec@1 62.500 (68.272) Prec@5 84.375 (86.796) Epoch: [75][9150/10010] Time 0.326 (0.326) Data 0.000 (0.001) Loss 1.8158 (1.3661) Prec@1 64.062 (68.273) Prec@5 78.906 (86.794) Epoch: [75][9160/10010] Time 0.317 (0.326) Data 0.000 (0.001) Loss 1.3110 (1.3661) Prec@1 71.875 (68.273) Prec@5 88.281 (86.794) Epoch: [75][9170/10010] Time 0.315 (0.326) Data 0.001 (0.001) Loss 1.3764 (1.3660) Prec@1 67.188 (68.275) Prec@5 89.062 (86.796) Epoch: [75][9180/10010] Time 0.329 (0.326) Data 0.000 (0.001) Loss 1.4579 (1.3660) Prec@1 68.750 (68.277) Prec@5 85.156 (86.796) Epoch: [75][9190/10010] Time 0.318 (0.326) Data 0.001 (0.001) Loss 1.3136 (1.3660) Prec@1 71.094 (68.278) Prec@5 85.156 (86.796) Epoch: [75][9200/10010] Time 0.321 (0.326) Data 0.001 (0.001) Loss 1.2157 (1.3660) Prec@1 70.312 (68.279) Prec@5 91.406 (86.796) Epoch: [75][9210/10010] Time 0.327 (0.326) Data 0.001 (0.001) Loss 1.6949 (1.3661) Prec@1 65.625 (68.275) Prec@5 78.125 (86.794) Epoch: [75][9220/10010] Time 0.321 (0.326) Data 0.000 (0.001) Loss 1.4719 (1.3662) Prec@1 61.719 (68.276) Prec@5 85.938 (86.793) Epoch: [75][9230/10010] Time 0.321 (0.326) Data 0.001 (0.001) Loss 1.1438 (1.3661) Prec@1 72.656 (68.278) Prec@5 89.844 (86.793) Epoch: [75][9240/10010] Time 0.333 (0.326) Data 0.001 (0.001) Loss 1.4356 (1.3662) Prec@1 65.625 (68.276) Prec@5 87.500 (86.791) Epoch: [75][9250/10010] Time 0.317 (0.326) Data 0.001 (0.001) Loss 1.2405 (1.3662) Prec@1 66.406 (68.276) Prec@5 89.062 (86.791) Epoch: [75][9260/10010] Time 0.332 (0.326) Data 0.001 (0.001) Loss 1.2874 (1.3662) Prec@1 69.531 (68.276) Prec@5 87.500 (86.792) Epoch: [75][9270/10010] Time 0.318 (0.326) Data 0.001 (0.001) Loss 1.1286 (1.3662) Prec@1 71.875 (68.276) Prec@5 89.844 (86.792) Epoch: [75][9280/10010] Time 0.339 (0.326) Data 0.000 (0.001) Loss 1.4032 (1.3662) Prec@1 63.281 (68.276) Prec@5 87.500 (86.791) Epoch: [75][9290/10010] Time 0.314 (0.326) Data 0.001 (0.001) Loss 1.2612 (1.3662) Prec@1 68.750 (68.274) Prec@5 85.156 (86.791) Epoch: [75][9300/10010] Time 0.323 (0.326) Data 0.000 (0.001) Loss 1.4877 (1.3663) Prec@1 64.062 (68.272) Prec@5 84.375 (86.790) Epoch: [75][9310/10010] Time 0.336 (0.326) Data 0.001 (0.001) Loss 1.3040 (1.3663) Prec@1 71.094 (68.271) Prec@5 85.938 (86.790) Epoch: [75][9320/10010] Time 0.319 (0.326) Data 0.001 (0.001) Loss 1.1825 (1.3663) Prec@1 71.875 (68.270) Prec@5 90.625 (86.790) Epoch: [75][9330/10010] Time 0.312 (0.326) Data 0.001 (0.001) Loss 1.3693 (1.3664) Prec@1 71.875 (68.269) Prec@5 86.719 (86.787) Epoch: [75][9340/10010] Time 0.313 (0.326) Data 0.001 (0.001) Loss 1.3333 (1.3664) Prec@1 74.219 (68.272) Prec@5 88.281 (86.789) Epoch: [75][9350/10010] Time 0.336 (0.326) Data 0.001 (0.001) Loss 1.4219 (1.3665) Prec@1 61.719 (68.272) Prec@5 86.719 (86.787) Epoch: [75][9360/10010] Time 0.337 (0.326) Data 0.001 (0.001) Loss 1.3539 (1.3664) Prec@1 64.062 (68.272) Prec@5 89.062 (86.788) Epoch: [75][9370/10010] Time 0.332 (0.326) Data 0.001 (0.001) Loss 1.7297 (1.3665) Prec@1 60.156 (68.272) Prec@5 84.375 (86.788) Epoch: [75][9380/10010] Time 0.332 (0.326) Data 0.001 (0.001) Loss 1.4721 (1.3666) Prec@1 65.625 (68.270) Prec@5 83.594 (86.786) Epoch: [75][9390/10010] Time 0.318 (0.326) Data 0.001 (0.001) Loss 1.3889 (1.3666) Prec@1 67.188 (68.270) Prec@5 88.281 (86.786) Epoch: [75][9400/10010] Time 0.324 (0.326) Data 0.001 (0.001) Loss 1.3852 (1.3666) Prec@1 71.094 (68.269) Prec@5 85.156 (86.787) Epoch: [75][9410/10010] Time 0.319 (0.326) Data 0.001 (0.001) Loss 1.3622 (1.3667) Prec@1 70.312 (68.267) Prec@5 89.062 (86.787) Epoch: [75][9420/10010] Time 0.331 (0.326) Data 0.001 (0.001) Loss 1.3819 (1.3667) Prec@1 66.406 (68.265) Prec@5 86.719 (86.786) Epoch: [75][9430/10010] Time 0.323 (0.326) Data 0.000 (0.001) Loss 1.5792 (1.3667) Prec@1 62.500 (68.265) Prec@5 81.250 (86.786) Epoch: [75][9440/10010] Time 0.316 (0.326) Data 0.001 (0.001) Loss 1.6309 (1.3667) Prec@1 69.531 (68.264) Prec@5 83.594 (86.786) Epoch: [75][9450/10010] Time 0.320 (0.326) Data 0.000 (0.001) Loss 1.3865 (1.3669) Prec@1 67.969 (68.261) Prec@5 84.375 (86.783) Epoch: [75][9460/10010] Time 0.336 (0.326) Data 0.001 (0.001) Loss 1.5524 (1.3670) Prec@1 63.281 (68.257) Prec@5 85.156 (86.782) Epoch: [75][9470/10010] Time 0.331 (0.326) Data 0.001 (0.001) Loss 1.1853 (1.3670) Prec@1 67.969 (68.256) Prec@5 94.531 (86.783) Epoch: [75][9480/10010] Time 0.339 (0.326) Data 0.000 (0.001) Loss 1.1744 (1.3669) Prec@1 67.969 (68.257) Prec@5 89.844 (86.783) Epoch: [75][9490/10010] Time 0.320 (0.326) Data 0.001 (0.001) Loss 1.3430 (1.3669) Prec@1 65.625 (68.256) Prec@5 85.938 (86.784) Epoch: [75][9500/10010] Time 0.338 (0.326) Data 0.001 (0.001) Loss 1.2973 (1.3669) Prec@1 71.875 (68.257) Prec@5 88.281 (86.783) Epoch: [75][9510/10010] Time 0.319 (0.326) Data 0.001 (0.001) Loss 1.5450 (1.3670) Prec@1 64.844 (68.255) Prec@5 82.812 (86.782) Epoch: [75][9520/10010] Time 0.319 (0.326) Data 0.001 (0.001) Loss 1.2345 (1.3669) Prec@1 69.531 (68.258) Prec@5 88.281 (86.783) Epoch: [75][9530/10010] Time 0.325 (0.326) Data 0.001 (0.001) Loss 0.9660 (1.3668) Prec@1 76.562 (68.258) Prec@5 89.062 (86.783) Epoch: [75][9540/10010] Time 0.315 (0.326) Data 0.001 (0.001) Loss 1.3581 (1.3668) Prec@1 67.969 (68.258) Prec@5 87.500 (86.784) Epoch: [75][9550/10010] Time 0.330 (0.326) Data 0.001 (0.001) Loss 1.5651 (1.3667) Prec@1 63.281 (68.259) Prec@5 86.719 (86.785) Epoch: [75][9560/10010] Time 0.317 (0.326) Data 0.001 (0.001) Loss 1.1605 (1.3667) Prec@1 70.312 (68.260) Prec@5 89.844 (86.786) Epoch: [75][9570/10010] Time 0.324 (0.326) Data 0.000 (0.001) Loss 1.4147 (1.3668) Prec@1 62.500 (68.257) Prec@5 82.812 (86.783) Epoch: [75][9580/10010] Time 0.321 (0.326) Data 0.001 (0.001) Loss 1.2423 (1.3667) Prec@1 73.438 (68.260) Prec@5 89.062 (86.784) Epoch: [75][9590/10010] Time 0.320 (0.326) Data 0.001 (0.001) Loss 1.7589 (1.3667) Prec@1 57.031 (68.258) Prec@5 83.594 (86.784) Epoch: [75][9600/10010] Time 0.328 (0.326) Data 0.001 (0.001) Loss 1.5300 (1.3668) Prec@1 64.062 (68.258) Prec@5 85.156 (86.784) Epoch: [75][9610/10010] Time 0.316 (0.326) Data 0.001 (0.001) Loss 1.5345 (1.3668) Prec@1 63.281 (68.254) Prec@5 83.594 (86.783) Epoch: [75][9620/10010] Time 0.320 (0.326) Data 0.001 (0.001) Loss 1.1824 (1.3668) Prec@1 70.312 (68.256) Prec@5 92.969 (86.785) Epoch: [75][9630/10010] Time 0.320 (0.326) Data 0.001 (0.001) Loss 1.1627 (1.3668) Prec@1 71.094 (68.257) Prec@5 89.844 (86.785) Epoch: [75][9640/10010] Time 0.337 (0.326) Data 0.000 (0.001) Loss 1.2679 (1.3668) Prec@1 72.656 (68.256) Prec@5 88.281 (86.784) Epoch: [75][9650/10010] Time 0.325 (0.326) Data 0.001 (0.001) Loss 1.2613 (1.3669) Prec@1 68.750 (68.256) Prec@5 89.062 (86.783) Epoch: [75][9660/10010] Time 0.337 (0.326) Data 0.001 (0.001) Loss 1.5056 (1.3669) Prec@1 64.062 (68.254) Prec@5 82.031 (86.783) Epoch: [75][9670/10010] Time 0.319 (0.326) Data 0.001 (0.001) Loss 1.4266 (1.3668) Prec@1 64.844 (68.255) Prec@5 88.281 (86.784) Epoch: [75][9680/10010] Time 0.327 (0.326) Data 0.000 (0.001) Loss 1.2652 (1.3667) Prec@1 70.312 (68.258) Prec@5 89.062 (86.786) Epoch: [75][9690/10010] Time 0.338 (0.326) Data 0.001 (0.001) Loss 1.4353 (1.3667) Prec@1 66.406 (68.258) Prec@5 85.938 (86.785) Epoch: [75][9700/10010] Time 0.318 (0.326) Data 0.001 (0.001) Loss 1.1385 (1.3667) Prec@1 73.438 (68.259) Prec@5 91.406 (86.787) Epoch: [75][9710/10010] Time 0.338 (0.326) Data 0.001 (0.001) Loss 1.3499 (1.3667) Prec@1 64.062 (68.258) Prec@5 89.062 (86.787) Epoch: [75][9720/10010] Time 0.337 (0.326) Data 0.001 (0.001) Loss 1.2020 (1.3668) Prec@1 71.094 (68.256) Prec@5 89.062 (86.787) Epoch: [75][9730/10010] Time 0.340 (0.326) Data 0.000 (0.001) Loss 1.2221 (1.3668) Prec@1 67.188 (68.256) Prec@5 90.625 (86.787) Epoch: [75][9740/10010] Time 0.316 (0.326) Data 0.001 (0.001) Loss 1.4392 (1.3668) Prec@1 70.312 (68.254) Prec@5 85.938 (86.785) Epoch: [75][9750/10010] Time 0.319 (0.326) Data 0.001 (0.001) Loss 1.4686 (1.3669) Prec@1 63.281 (68.254) Prec@5 86.719 (86.784) Epoch: [75][9760/10010] Time 0.322 (0.326) Data 0.001 (0.001) Loss 1.1929 (1.3669) Prec@1 77.344 (68.255) Prec@5 89.062 (86.784) Epoch: [75][9770/10010] Time 0.329 (0.326) Data 0.001 (0.001) Loss 1.1311 (1.3669) Prec@1 78.125 (68.254) Prec@5 89.062 (86.786) Epoch: [75][9780/10010] Time 0.340 (0.326) Data 0.000 (0.001) Loss 1.5122 (1.3668) Prec@1 65.625 (68.255) Prec@5 88.281 (86.785) Epoch: [75][9790/10010] Time 0.331 (0.326) Data 0.001 (0.001) Loss 1.6402 (1.3669) Prec@1 65.625 (68.253) Prec@5 85.156 (86.784) Epoch: [75][9800/10010] Time 0.320 (0.326) Data 0.000 (0.001) Loss 1.4818 (1.3669) Prec@1 62.500 (68.253) Prec@5 85.938 (86.786) Epoch: [75][9810/10010] Time 0.331 (0.326) Data 0.001 (0.001) Loss 1.3563 (1.3669) Prec@1 67.188 (68.254) Prec@5 85.156 (86.784) Epoch: [75][9820/10010] Time 0.322 (0.326) Data 0.001 (0.001) Loss 1.9515 (1.3670) Prec@1 60.938 (68.254) Prec@5 81.250 (86.784) Epoch: [75][9830/10010] Time 0.325 (0.326) Data 0.001 (0.001) Loss 1.7306 (1.3670) Prec@1 64.062 (68.253) Prec@5 83.594 (86.783) Epoch: [75][9840/10010] Time 0.340 (0.326) Data 0.001 (0.001) Loss 1.1433 (1.3671) Prec@1 69.531 (68.251) Prec@5 91.406 (86.782) Epoch: [75][9850/10010] Time 0.340 (0.326) Data 0.000 (0.001) Loss 1.4980 (1.3672) Prec@1 64.844 (68.249) Prec@5 85.156 (86.780) Epoch: [75][9860/10010] Time 0.317 (0.326) Data 0.001 (0.001) Loss 1.1372 (1.3672) Prec@1 71.875 (68.248) Prec@5 89.062 (86.780) Epoch: [75][9870/10010] Time 0.337 (0.326) Data 0.001 (0.001) Loss 1.4286 (1.3672) Prec@1 68.750 (68.248) Prec@5 87.500 (86.781) Epoch: [75][9880/10010] Time 0.325 (0.326) Data 0.000 (0.001) Loss 1.2885 (1.3672) Prec@1 69.531 (68.250) Prec@5 87.500 (86.782) Epoch: [75][9890/10010] Time 0.319 (0.326) Data 0.001 (0.001) Loss 1.1505 (1.3671) Prec@1 66.406 (68.251) Prec@5 89.844 (86.782) Epoch: [75][9900/10010] Time 0.339 (0.326) Data 0.001 (0.001) Loss 1.4357 (1.3671) Prec@1 65.625 (68.250) Prec@5 85.156 (86.782) Epoch: [75][9910/10010] Time 0.341 (0.326) Data 0.000 (0.001) Loss 1.4137 (1.3672) Prec@1 64.844 (68.249) Prec@5 85.938 (86.782) Epoch: [75][9920/10010] Time 0.321 (0.326) Data 0.001 (0.001) Loss 1.2332 (1.3672) Prec@1 69.531 (68.250) Prec@5 89.844 (86.782) Epoch: [75][9930/10010] Time 0.314 (0.326) Data 0.001 (0.001) Loss 1.3291 (1.3673) Prec@1 65.625 (68.248) Prec@5 87.500 (86.780) Epoch: [75][9940/10010] Time 0.324 (0.326) Data 0.001 (0.001) Loss 1.5722 (1.3673) Prec@1 63.281 (68.247) Prec@5 85.156 (86.781) Epoch: [75][9950/10010] Time 0.334 (0.326) Data 0.001 (0.001) Loss 1.3021 (1.3674) Prec@1 69.531 (68.247) Prec@5 87.500 (86.779) Epoch: [75][9960/10010] Time 0.319 (0.326) Data 0.001 (0.001) Loss 1.3490 (1.3674) Prec@1 69.531 (68.247) Prec@5 86.719 (86.780) Epoch: [75][9970/10010] Time 0.323 (0.326) Data 0.001 (0.001) Loss 1.3716 (1.3673) Prec@1 69.531 (68.247) Prec@5 85.156 (86.780) Epoch: [75][9980/10010] Time 0.328 (0.326) Data 0.000 (0.001) Loss 1.7518 (1.3674) Prec@1 60.938 (68.245) Prec@5 81.250 (86.779) Epoch: [75][9990/10010] Time 0.333 (0.326) Data 0.001 (0.001) Loss 1.1388 (1.3674) Prec@1 74.219 (68.245) Prec@5 90.625 (86.779) Epoch: [75][10000/10010] Time 0.312 (0.326) Data 0.000 (0.001) Loss 1.6028 (1.3675) Prec@1 62.500 (68.244) Prec@5 80.469 (86.777) Test: [0/391] Time 1.443 (1.443) Loss 0.7362 (0.7362) Prec@1 84.375 (84.375) Prec@5 95.312 (95.312) Test: [10/391] Time 0.104 (0.232) Loss 1.1606 (0.6348) Prec@1 71.094 (84.233) Prec@5 90.625 (95.810) Test: [20/391] Time 0.110 (0.175) Loss 0.9021 (0.8860) Prec@1 76.562 (77.604) Prec@5 89.844 (93.378) Test: [30/391] Time 0.116 (0.154) Loss 1.7092 (1.0156) Prec@1 64.844 (73.841) Prec@5 88.281 (92.364) Test: [40/391] Time 0.108 (0.143) Loss 0.9661 (0.9129) Prec@1 76.562 (76.620) Prec@5 90.625 (93.102) Test: [50/391] Time 0.107 (0.135) Loss 0.5171 (0.9385) Prec@1 86.719 (76.501) Prec@5 96.875 (92.708) Test: [60/391] Time 0.108 (0.131) Loss 1.0563 (0.8830) Prec@1 73.438 (77.907) Prec@5 90.625 (93.276) Test: [70/391] Time 0.104 (0.128) Loss 1.0311 (0.9186) Prec@1 64.844 (76.574) Prec@5 96.094 (93.189) Test: [80/391] Time 0.109 (0.125) Loss 0.9285 (0.9350) Prec@1 75.781 (75.858) Prec@5 95.312 (93.210) Test: [90/391] Time 0.111 (0.123) Loss 1.1136 (0.9419) Prec@1 63.281 (75.592) Prec@5 94.531 (93.261) Test: [100/391] Time 0.108 (0.121) Loss 0.6613 (0.9325) Prec@1 81.250 (75.441) Prec@5 96.875 (93.526) Test: [110/391] Time 0.101 (0.120) Loss 1.3034 (0.9333) Prec@1 51.562 (75.211) Prec@5 92.969 (93.623) Test: [120/391] Time 0.102 (0.119) Loss 0.7640 (0.9274) Prec@1 80.469 (75.536) Prec@5 96.875 (93.692) Test: [130/391] Time 0.111 (0.118) Loss 0.4182 (0.9191) Prec@1 91.406 (75.924) Prec@5 96.875 (93.744) Test: [140/391] Time 0.103 (0.117) Loss 1.1996 (0.9175) Prec@1 67.188 (75.831) Prec@5 91.406 (93.772) Test: [150/391] Time 0.104 (0.117) Loss 0.9069 (0.9233) Prec@1 72.656 (75.838) Prec@5 94.531 (93.559) Test: [160/391] Time 0.109 (0.116) Loss 0.9635 (0.9273) Prec@1 73.438 (75.733) Prec@5 93.750 (93.503) Test: [170/391] Time 0.102 (0.115) Loss 1.6065 (0.9576) Prec@1 59.375 (75.128) Prec@5 88.281 (93.156) Test: [180/391] Time 0.103 (0.115) Loss 1.8741 (0.9871) Prec@1 53.125 (74.517) Prec@5 87.500 (92.826) Test: [190/391] Time 0.107 (0.114) Loss 2.1174 (1.0213) Prec@1 55.469 (73.802) Prec@5 81.250 (92.388) Test: [200/391] Time 0.104 (0.114) Loss 1.1099 (1.0510) Prec@1 70.312 (73.216) Prec@5 92.188 (91.962) Test: [210/391] Time 0.107 (0.114) Loss 1.5319 (1.0684) Prec@1 65.625 (72.875) Prec@5 86.719 (91.754) Test: [220/391] Time 0.100 (0.114) Loss 0.6782 (1.0796) Prec@1 81.250 (72.646) Prec@5 96.094 (91.523) Test: [230/391] Time 0.111 (0.113) Loss 2.1107 (1.0936) Prec@1 52.344 (72.420) Prec@5 79.688 (91.345) Test: [240/391] Time 0.103 (0.113) Loss 1.5379 (1.1022) Prec@1 71.875 (72.326) Prec@5 84.375 (91.212) Test: [250/391] Time 0.108 (0.113) Loss 0.7934 (1.1252) Prec@1 82.031 (71.766) Prec@5 91.406 (90.899) Test: [260/391] Time 0.101 (0.113) Loss 1.3058 (1.1405) Prec@1 69.531 (71.483) Prec@5 88.281 (90.733) Test: [270/391] Time 0.101 (0.112) Loss 1.9360 (1.1510) Prec@1 53.906 (71.298) Prec@5 84.375 (90.582) Test: [280/391] Time 0.103 (0.112) Loss 1.2649 (1.1580) Prec@1 64.844 (71.205) Prec@5 91.406 (90.480) Test: [290/391] Time 0.102 (0.112) Loss 1.6416 (1.1714) Prec@1 48.438 (70.935) Prec@5 87.500 (90.255) Test: [300/391] Time 0.100 (0.112) Loss 1.1682 (1.1816) Prec@1 79.688 (70.751) Prec@5 87.500 (90.101) Test: [310/391] Time 0.104 (0.111) Loss 1.6022 (1.1911) Prec@1 67.188 (70.609) Prec@5 82.812 (89.942) Test: [320/391] Time 0.106 (0.111) Loss 0.8316 (1.1985) Prec@1 82.031 (70.500) Prec@5 91.406 (89.853) Test: [330/391] Time 0.106 (0.111) Loss 1.8620 (1.2161) Prec@1 60.938 (70.133) Prec@5 81.250 (89.636) Test: [340/391] Time 0.186 (0.111) Loss 1.1313 (1.2205) Prec@1 64.062 (70.015) Prec@5 95.312 (89.573) Test: [350/391] Time 0.100 (0.111) Loss 1.2999 (1.2252) Prec@1 71.094 (69.954) Prec@5 89.844 (89.497) Test: [360/391] Time 0.102 (0.111) Loss 1.4499 (1.2342) Prec@1 60.156 (69.780) Prec@5 89.844 (89.446) Test: [370/391] Time 0.102 (0.111) Loss 1.0453 (1.2289) Prec@1 67.188 (69.851) Prec@5 95.312 (89.515) Test: [380/391] Time 0.104 (0.111) Loss 1.0715 (1.2325) Prec@1 74.219 (69.763) Prec@5 92.969 (89.460) Test: [390/391] Time 0.069 (0.110) Loss 2.0246 (1.2273) Prec@1 41.250 (69.880) Prec@5 80.000 (89.526) * Prec@1 69.880 Prec@5 89.526 Epoch: [76][0/10010] Time 2.697 (2.697) Data 2.510 (2.510) Loss 1.0765 (1.0765) Prec@1 73.438 (73.438) Prec@5 91.406 (91.406) Epoch: [76][10/10010] Time 0.319 (0.532) Data 0.001 (0.229) Loss 1.3859 (1.3250) Prec@1 67.969 (68.892) Prec@5 89.062 (87.784) Epoch: [76][20/10010] Time 0.316 (0.429) Data 0.001 (0.120) Loss 1.1989 (1.2803) Prec@1 63.281 (69.568) Prec@5 91.406 (88.988) Epoch: [76][30/10010] Time 0.318 (0.393) Data 0.001 (0.082) Loss 1.3622 (1.3111) Prec@1 64.844 (69.178) Prec@5 85.938 (88.407) /data/vision/torralba/deepscene/lib/anaconda2/lib/python2.7/site-packages/PIL/TiffImagePlugin.py:692: UserWarning: Possibly corrupt EXIF data. Expecting to read 2555904 bytes but only got 0. Skipping tag 0 "Skipping tag %s" % (size, len(data), tag)) Epoch: [76][40/10010] Time 0.340 (0.377) Data 0.001 (0.062) Loss 1.1367 (1.3075) Prec@1 74.219 (69.074) Prec@5 92.969 (88.281) Epoch: [76][50/10010] Time 0.315 (0.366) Data 0.001 (0.050) Loss 1.2764 (1.3041) Prec@1 68.750 (69.363) Prec@5 87.500 (88.174) Epoch: [76][60/10010] Time 0.339 (0.361) Data 0.001 (0.042) Loss 1.6498 (1.3190) Prec@1 67.969 (69.288) Prec@5 84.375 (87.897) Epoch: [76][70/10010] Time 0.321 (0.355) Data 0.000 (0.036) Loss 1.1786 (1.3260) Prec@1 71.875 (69.069) Prec@5 89.844 (87.841) Epoch: [76][80/10010] Time 0.321 (0.351) Data 0.000 (0.032) Loss 1.7315 (1.3370) Prec@1 64.844 (68.837) Prec@5 82.031 (87.635) Epoch: [76][90/10010] Time 0.326 (0.348) Data 0.001 (0.028) Loss 1.5812 (1.3258) Prec@1 67.188 (69.042) Prec@5 82.031 (87.715) Epoch: [76][100/10010] Time 0.312 (0.345) Data 0.001 (0.026) Loss 1.5112 (1.3349) Prec@1 67.188 (68.719) Prec@5 85.156 (87.616) Epoch: [76][110/10010] Time 0.336 (0.343) Data 0.001 (0.023) Loss 1.1558 (1.3255) Prec@1 72.656 (68.940) Prec@5 89.062 (87.648) Epoch: [76][120/10010] Time 0.337 (0.342) Data 0.001 (0.021) Loss 1.4996 (1.3300) Prec@1 64.844 (68.944) Prec@5 86.719 (87.552) Epoch: [76][130/10010] Time 0.342 (0.341) Data 0.001 (0.020) Loss 1.3820 (1.3280) Prec@1 68.750 (68.810) Prec@5 85.156 (87.524) Epoch: [76][140/10010] Time 0.325 (0.340) Data 0.001 (0.018) Loss 1.3954 (1.3334) Prec@1 63.281 (68.595) Prec@5 86.719 (87.461) Epoch: [76][150/10010] Time 0.324 (0.339) Data 0.001 (0.017) Loss 1.0932 (1.3357) Prec@1 74.219 (68.512) Prec@5 91.406 (87.417) Epoch: [76][160/10010] Time 0.322 (0.338) Data 0.001 (0.016) Loss 1.6245 (1.3391) Prec@1 62.500 (68.541) Prec@5 82.031 (87.354) Epoch: [76][170/10010] Time 0.323 (0.337) Data 0.001 (0.015) Loss 1.3350 (1.3375) Prec@1 70.312 (68.659) Prec@5 85.156 (87.358) Epoch: [76][180/10010] Time 0.321 (0.336) Data 0.000 (0.015) Loss 1.2755 (1.3385) Prec@1 66.406 (68.646) Prec@5 87.500 (87.306) Epoch: [76][190/10010] Time 0.318 (0.336) Data 0.001 (0.014) Loss 1.5364 (1.3448) Prec@1 63.281 (68.509) Prec@5 85.938 (87.201) Epoch: [76][200/10010] Time 0.316 (0.335) Data 0.001 (0.013) Loss 1.2519 (1.3464) Prec@1 66.406 (68.443) Prec@5 85.938 (87.158) Epoch: [76][210/10010] Time 0.323 (0.335) Data 0.001 (0.013) Loss 1.5299 (1.3464) Prec@1 67.969 (68.443) Prec@5 84.375 (87.167) Epoch: [76][220/10010] Time 0.331 (0.335) Data 0.001 (0.012) Loss 1.3682 (1.3480) Prec@1 70.312 (68.460) Prec@5 89.062 (87.132) Epoch: [76][230/10010] Time 0.325 (0.335) Data 0.001 (0.012) Loss 1.4337 (1.3467) Prec@1 67.188 (68.523) Prec@5 84.375 (87.125) Epoch: [76][240/10010] Time 0.341 (0.335) Data 0.001 (0.011) Loss 1.1646 (1.3442) Prec@1 75.000 (68.581) Prec@5 89.062 (87.153) Epoch: [76][250/10010] Time 0.339 (0.334) Data 0.001 (0.011) Loss 1.1713 (1.3435) Prec@1 68.750 (68.576) Prec@5 89.062 (87.145) Epoch: [76][260/10010] Time 0.326 (0.334) Data 0.000 (0.010) Loss 1.4073 (1.3441) Prec@1 62.500 (68.564) Prec@5 89.844 (87.150) Epoch: [76][270/10010] Time 0.328 (0.334) Data 0.001 (0.010) Loss 1.0768 (1.3448) Prec@1 75.781 (68.519) Prec@5 89.062 (87.108) Epoch: [76][280/10010] Time 0.318 (0.334) Data 0.001 (0.010) Loss 1.3956 (1.3449) Prec@1 65.625 (68.530) Prec@5 88.281 (87.097) Epoch: [76][290/10010] Time 0.320 (0.333) Data 0.001 (0.009) Loss 1.2997 (1.3448) Prec@1 71.875 (68.586) Prec@5 88.281 (87.097) Epoch: [76][300/10010] Time 0.311 (0.333) Data 0.001 (0.009) Loss 1.2497 (1.3442) Prec@1 69.531 (68.605) Prec@5 90.625 (87.155) Epoch: [76][310/10010] Time 0.318 (0.333) Data 0.001 (0.009) Loss 1.2814 (1.3454) Prec@1 67.188 (68.547) Prec@5 88.281 (87.178) Epoch: [76][320/10010] Time 0.330 (0.333) Data 0.001 (0.008) Loss 1.6803 (1.3485) Prec@1 63.281 (68.558) Prec@5 80.469 (87.147) Epoch: [76][330/10010] Time 0.315 (0.332) Data 0.001 (0.008) Loss 1.8117 (1.3482) Prec@1 62.500 (68.528) Prec@5 82.812 (87.151) Epoch: [76][340/10010] Time 0.328 (0.332) Data 0.001 (0.008) Loss 1.3443 (1.3485) Prec@1 67.969 (68.546) Prec@5 87.500 (87.156) Epoch: [76][350/10010] Time 0.342 (0.332) Data 0.001 (0.008) Loss 1.5027 (1.3472) Prec@1 64.844 (68.592) Prec@5 82.812 (87.168) Epoch: [76][360/10010] Time 0.341 (0.332) Data 0.000 (0.008) Loss 1.2033 (1.3467) Prec@1 71.094 (68.581) Prec@5 87.500 (87.160) Epoch: [76][370/10010] Time 0.331 (0.332) Data 0.001 (0.007) Loss 1.4049 (1.3472) Prec@1 71.094 (68.636) Prec@5 85.938 (87.163) Epoch: [76][380/10010] Time 0.320 (0.332) Data 0.000 (0.007) Loss 1.6185 (1.3454) Prec@1 61.719 (68.668) Prec@5 82.031 (87.170) Epoch: [76][390/10010] Time 0.335 (0.332) Data 0.000 (0.007) Loss 1.2140 (1.3461) Prec@1 70.312 (68.654) Prec@5 87.500 (87.142) Epoch: [76][400/10010] Time 0.314 (0.332) Data 0.000 (0.007) Loss 1.1164 (1.3477) Prec@1 76.562 (68.577) Prec@5 88.281 (87.114) Epoch: [76][410/10010] Time 0.344 (0.332) Data 0.001 (0.007) Loss 1.3281 (1.3477) Prec@1 67.969 (68.590) Prec@5 87.500 (87.116) Epoch: [76][420/10010] Time 0.321 (0.331) Data 0.001 (0.007) Loss 1.2397 (1.3460) Prec@1 69.531 (68.620) Prec@5 87.500 (87.144) Epoch: [76][430/10010] Time 0.328 (0.331) Data 0.001 (0.006) Loss 1.5113 (1.3459) Prec@1 66.406 (68.630) Prec@5 84.375 (87.145) Epoch: [76][440/10010] Time 0.336 (0.331) Data 0.001 (0.006) Loss 1.2313 (1.3475) Prec@1 73.438 (68.568) Prec@5 88.281 (87.137) Epoch: [76][450/10010] Time 0.324 (0.331) Data 0.001 (0.006) Loss 1.3486 (1.3488) Prec@1 62.500 (68.544) Prec@5 89.062 (87.131) Epoch: [76][460/10010] Time 0.331 (0.331) Data 0.001 (0.006) Loss 1.4883 (1.3503) Prec@1 64.844 (68.531) Prec@5 86.719 (87.109) Epoch: [76][470/10010] Time 0.340 (0.331) Data 0.000 (0.006) Loss 1.0955 (1.3496) Prec@1 77.344 (68.534) Prec@5 89.062 (87.117) Epoch: [76][480/10010] Time 0.341 (0.331) Data 0.000 (0.006) Loss 1.5120 (1.3490) Prec@1 65.625 (68.576) Prec@5 82.812 (87.110) Epoch: [76][490/10010] Time 0.333 (0.331) Data 0.001 (0.006) Loss 1.4904 (1.3503) Prec@1 63.281 (68.537) Prec@5 85.938 (87.085) Epoch: [76][500/10010] Time 0.323 (0.331) Data 0.001 (0.006) Loss 1.4079 (1.3502) Prec@1 65.625 (68.477) Prec@5 83.594 (87.076) Epoch: [76][510/10010] Time 0.322 (0.331) Data 0.001 (0.006) Loss 1.7409 (1.3496) Prec@1 60.156 (68.492) Prec@5 84.375 (87.081) Epoch: [76][520/10010] Time 0.336 (0.331) Data 0.001 (0.005) Loss 1.3957 (1.3506) Prec@1 66.406 (68.471) Prec@5 86.719 (87.080) Epoch: [76][530/10010] Time 0.338 (0.331) Data 0.001 (0.005) Loss 1.5833 (1.3523) Prec@1 64.062 (68.416) Prec@5 84.375 (87.054) Epoch: [76][540/10010] Time 0.332 (0.331) Data 0.001 (0.005) Loss 1.6394 (1.3526) Prec@1 61.719 (68.429) Prec@5 82.812 (87.038) Epoch: [76][550/10010] Time 0.342 (0.331) Data 0.001 (0.005) Loss 1.2604 (1.3512) Prec@1 68.750 (68.459) Prec@5 89.844 (87.072) Epoch: [76][560/10010] Time 0.318 (0.331) Data 0.001 (0.005) Loss 1.5274 (1.3519) Prec@1 68.750 (68.462) Prec@5 82.031 (87.059) Epoch: [76][570/10010] Time 0.341 (0.331) Data 0.001 (0.005) Loss 1.4595 (1.3520) Prec@1 68.750 (68.465) Prec@5 89.062 (87.057) Epoch: [76][580/10010] Time 0.328 (0.331) Data 0.001 (0.005) Loss 1.5430 (1.3515) Prec@1 63.281 (68.478) Prec@5 80.469 (87.056) Epoch: [76][590/10010] Time 0.321 (0.331) Data 0.001 (0.005) Loss 1.2837 (1.3520) Prec@1 66.406 (68.471) Prec@5 88.281 (87.065) Epoch: [76][600/10010] Time 0.336 (0.331) Data 0.000 (0.005) Loss 1.7589 (1.3520) Prec@1 58.594 (68.472) Prec@5 81.250 (87.058) Epoch: [76][610/10010] Time 0.316 (0.331) Data 0.000 (0.005) Loss 1.3020 (1.3525) Prec@1 69.531 (68.461) Prec@5 85.156 (87.044) Epoch: [76][620/10010] Time 0.338 (0.331) Data 0.001 (0.005) Loss 1.2261 (1.3528) Prec@1 75.781 (68.468) Prec@5 88.281 (87.038) Epoch: [76][630/10010] Time 0.343 (0.331) Data 0.001 (0.005) Loss 1.4262 (1.3537) Prec@1 66.406 (68.457) Prec@5 84.375 (87.023) Epoch: [76][640/10010] Time 0.314 (0.331) Data 0.001 (0.005) Loss 1.1790 (1.3530) Prec@1 73.438 (68.472) Prec@5 89.844 (87.028) Epoch: [76][650/10010] Time 0.329 (0.330) Data 0.001 (0.005) Loss 1.3978 (1.3549) Prec@1 67.188 (68.421) Prec@5 85.938 (87.000) Epoch: [76][660/10010] Time 0.325 (0.330) Data 0.001 (0.004) Loss 1.3590 (1.3538) Prec@1 67.969 (68.429) Prec@5 88.281 (87.034) Epoch: [76][670/10010] Time 0.322 (0.330) Data 0.000 (0.004) Loss 1.3223 (1.3532) Prec@1 70.312 (68.441) Prec@5 85.156 (87.040) Epoch: [76][680/10010] Time 0.330 (0.330) Data 0.000 (0.004) Loss 1.3628 (1.3530) Prec@1 67.969 (68.445) Prec@5 89.062 (87.046) Epoch: [76][690/10010] Time 0.313 (0.330) Data 0.001 (0.004) Loss 1.1867 (1.3524) Prec@1 75.000 (68.472) Prec@5 88.281 (87.058) Epoch: [76][700/10010] Time 0.333 (0.330) Data 0.001 (0.004) Loss 1.3024 (1.3523) Prec@1 69.531 (68.488) Prec@5 89.844 (87.076) Epoch: [76][710/10010] Time 0.326 (0.330) Data 0.001 (0.004) Loss 1.3481 (1.3522) Prec@1 67.188 (68.473) Prec@5 88.281 (87.078) Epoch: [76][720/10010] Time 0.315 (0.330) Data 0.001 (0.004) Loss 1.1960 (1.3512) Prec@1 67.969 (68.498) Prec@5 89.844 (87.094) Epoch: [76][730/10010] Time 0.318 (0.330) Data 0.001 (0.004) Loss 1.2448 (1.3511) Prec@1 69.531 (68.505) Prec@5 89.062 (87.089) Epoch: [76][740/10010] Time 0.336 (0.330) Data 0.001 (0.004) Loss 1.3458 (1.3526) Prec@1 69.531 (68.490) Prec@5 86.719 (87.060) Epoch: [76][750/10010] Time 0.309 (0.330) Data 0.001 (0.004) Loss 1.2524 (1.3517) Prec@1 73.438 (68.493) Prec@5 85.156 (87.061) Epoch: [76][760/10010] Time 0.336 (0.330) Data 0.000 (0.004) Loss 1.5460 (1.3519) Prec@1 67.188 (68.511) Prec@5 86.719 (87.057) Epoch: [76][770/10010] Time 0.339 (0.330) Data 0.001 (0.004) Loss 1.1731 (1.3518) Prec@1 75.781 (68.515) Prec@5 89.844 (87.054) Epoch: [76][780/10010] Time 0.333 (0.329) Data 0.001 (0.004) Loss 1.2434 (1.3517) Prec@1 71.094 (68.512) Prec@5 89.062 (87.057) Epoch: [76][790/10010] Time 0.326 (0.329) Data 0.000 (0.004) Loss 1.4611 (1.3522) Prec@1 71.875 (68.512) Prec@5 84.375 (87.043) Epoch: [76][800/10010] Time 0.331 (0.329) Data 0.001 (0.004) Loss 1.3297 (1.3523) Prec@1 64.844 (68.498) Prec@5 85.156 (87.045) Epoch: [76][810/10010] Time 0.337 (0.329) Data 0.000 (0.004) Loss 1.5420 (1.3521) Prec@1 66.406 (68.505) Prec@5 82.031 (87.046) Epoch: [76][820/10010] Time 0.310 (0.329) Data 0.001 (0.004) Loss 1.2979 (1.3520) Prec@1 70.312 (68.502) Prec@5 85.938 (87.053) Epoch: [76][830/10010] Time 0.320 (0.329) Data 0.001 (0.004) Loss 1.3714 (1.3522) Prec@1 67.969 (68.499) Prec@5 86.719 (87.047) Epoch: [76][840/10010] Time 0.311 (0.329) Data 0.001 (0.004) Loss 1.6608 (1.3531) Prec@1 66.406 (68.511) Prec@5 82.812 (87.036) Epoch: [76][850/10010] Time 0.327 (0.329) Data 0.001 (0.004) Loss 1.4254 (1.3529) Prec@1 66.406 (68.506) Prec@5 86.719 (87.037) Epoch: [76][860/10010] Time 0.318 (0.329) Data 0.001 (0.004) Loss 1.5037 (1.3535) Prec@1 66.406 (68.481) Prec@5 89.062 (87.035) Epoch: [76][870/10010] Time 0.327 (0.329) Data 0.000 (0.004) Loss 1.4154 (1.3540) Prec@1 70.312 (68.489) Prec@5 89.062 (87.036) Epoch: [76][880/10010] Time 0.315 (0.329) Data 0.001 (0.004) Loss 1.2248 (1.3543) Prec@1 72.656 (68.466) Prec@5 86.719 (87.029) Epoch: [76][890/10010] Time 0.338 (0.329) Data 0.001 (0.003) Loss 1.3593 (1.3547) Prec@1 67.969 (68.457) Prec@5 90.625 (87.024) Epoch: [76][900/10010] Time 0.319 (0.329) Data 0.000 (0.003) Loss 1.4185 (1.3549) Prec@1 67.969 (68.455) Prec@5 86.719 (87.019) Epoch: [76][910/10010] Time 0.324 (0.329) Data 0.001 (0.003) Loss 1.0430 (1.3545) Prec@1 74.219 (68.464) Prec@5 89.062 (87.035) Epoch: [76][920/10010] Time 0.335 (0.329) Data 0.000 (0.003) Loss 1.3623 (1.3547) Prec@1 69.531 (68.468) Prec@5 85.938 (87.027) Epoch: [76][930/10010] Time 0.334 (0.329) Data 0.000 (0.003) Loss 1.5539 (1.3547) Prec@1 67.969 (68.471) Prec@5 84.375 (87.023) Epoch: [76][940/10010] Time 0.332 (0.329) Data 0.000 (0.003) Loss 1.6410 (1.3545) Prec@1 57.812 (68.474) Prec@5 83.594 (87.019) Epoch: [76][950/10010] Time 0.323 (0.329) Data 0.001 (0.003) Loss 1.3706 (1.3535) Prec@1 63.281 (68.482) Prec@5 84.375 (87.031) Epoch: [76][960/10010] Time 0.319 (0.329) Data 0.001 (0.003) Loss 1.3147 (1.3530) Prec@1 71.875 (68.486) Prec@5 87.500 (87.048) Epoch: [76][970/10010] Time 0.320 (0.329) Data 0.001 (0.003) Loss 1.3964 (1.3531) Prec@1 62.500 (68.480) Prec@5 85.156 (87.033) Epoch: [76][980/10010] Time 0.315 (0.328) Data 0.001 (0.003) Loss 1.3685 (1.3523) Prec@1 67.969 (68.498) Prec@5 82.812 (87.037) Epoch: [76][990/10010] Time 0.330 (0.328) Data 0.000 (0.003) Loss 1.4496 (1.3534) Prec@1 65.625 (68.487) Prec@5 85.938 (87.021) Epoch: [76][1000/10010] Time 0.339 (0.328) Data 0.000 (0.003) Loss 1.2101 (1.3538) Prec@1 67.969 (68.460) Prec@5 87.500 (87.010) Epoch: [76][1010/10010] Time 0.336 (0.329) Data 0.000 (0.003) Loss 1.6225 (1.3548) Prec@1 64.844 (68.445) Prec@5 85.156 (86.998) Epoch: [76][1020/10010] Time 0.335 (0.329) Data 0.001 (0.003) Loss 1.6567 (1.3553) Prec@1 59.375 (68.426) Prec@5 82.031 (86.990) Epoch: [76][1030/10010] Time 0.339 (0.328) Data 0.001 (0.003) Loss 1.4813 (1.3557) Prec@1 63.281 (68.414) Prec@5 85.156 (86.986) Epoch: [76][1040/10010] Time 0.316 (0.328) Data 0.000 (0.003) Loss 1.3823 (1.3560) Prec@1 68.750 (68.415) Prec@5 86.719 (86.980) Epoch: [76][1050/10010] Time 0.340 (0.329) Data 0.001 (0.003) Loss 1.4540 (1.3561) Prec@1 65.625 (68.416) Prec@5 84.375 (86.975) Epoch: [76][1060/10010] Time 0.315 (0.329) Data 0.001 (0.003) Loss 1.1906 (1.3559) Prec@1 67.969 (68.420) Prec@5 89.062 (86.984) Epoch: [76][1070/10010] Time 0.341 (0.329) Data 0.000 (0.003) Loss 1.5863 (1.3560) Prec@1 67.969 (68.424) Prec@5 85.156 (86.975) Epoch: [76][1080/10010] Time 0.328 (0.329) Data 0.000 (0.003) Loss 1.4478 (1.3564) Prec@1 67.188 (68.412) Prec@5 88.281 (86.967) Epoch: [76][1090/10010] Time 0.333 (0.328) Data 0.001 (0.003) Loss 1.3086 (1.3566) Prec@1 64.062 (68.413) Prec@5 89.062 (86.969) Epoch: [76][1100/10010] Time 0.317 (0.329) Data 0.001 (0.003) Loss 1.5698 (1.3565) Prec@1 67.188 (68.414) Prec@5 79.688 (86.970) Epoch: [76][1110/10010] Time 0.335 (0.328) Data 0.000 (0.003) Loss 1.1467 (1.3561) Prec@1 75.781 (68.433) Prec@5 90.625 (86.981) Epoch: [76][1120/10010] Time 0.337 (0.328) Data 0.001 (0.003) Loss 1.2467 (1.3566) Prec@1 64.062 (68.413) Prec@5 91.406 (86.982) Epoch: [76][1130/10010] Time 0.320 (0.328) Data 0.002 (0.003) Loss 1.3369 (1.3572) Prec@1 64.844 (68.389) Prec@5 89.062 (86.985) Epoch: [76][1140/10010] Time 0.338 (0.328) Data 0.001 (0.003) Loss 1.2445 (1.3570) Prec@1 66.406 (68.380) Prec@5 87.500 (86.989) Epoch: [76][1150/10010] Time 0.335 (0.328) Data 0.001 (0.003) Loss 1.5450 (1.3563) Prec@1 66.406 (68.400) Prec@5 85.156 (86.994) Epoch: [76][1160/10010] Time 0.332 (0.328) Data 0.000 (0.003) Loss 1.0447 (1.3563) Prec@1 75.000 (68.396) Prec@5 92.969 (86.999) Epoch: [76][1170/10010] Time 0.311 (0.328) Data 0.001 (0.003) Loss 1.3576 (1.3569) Prec@1 67.969 (68.387) Prec@5 89.062 (86.998) Epoch: [76][1180/10010] Time 0.316 (0.328) Data 0.001 (0.003) Loss 1.3003 (1.3563) Prec@1 71.094 (68.393) Prec@5 86.719 (87.005) Epoch: [76][1190/10010] Time 0.347 (0.328) Data 0.000 (0.003) Loss 1.3806 (1.3566) Prec@1 67.969 (68.388) Prec@5 88.281 (87.001) Epoch: [76][1200/10010] Time 0.339 (0.328) Data 0.001 (0.003) Loss 1.1547 (1.3558) Prec@1 71.875 (68.397) Prec@5 87.500 (87.010) Epoch: [76][1210/10010] Time 0.318 (0.328) Data 0.000 (0.003) Loss 1.4885 (1.3563) Prec@1 71.094 (68.392) Prec@5 83.594 (87.004) Epoch: [76][1220/10010] Time 0.314 (0.328) Data 0.001 (0.003) Loss 1.2446 (1.3560) Prec@1 71.094 (68.398) Prec@5 89.062 (87.007) Epoch: [76][1230/10010] Time 0.316 (0.328) Data 0.001 (0.003) Loss 1.2783 (1.3555) Prec@1 68.750 (68.405) Prec@5 84.375 (87.009) Epoch: [76][1240/10010] Time 0.334 (0.328) Data 0.000 (0.003) Loss 1.1626 (1.3554) Prec@1 74.219 (68.413) Prec@5 88.281 (87.009) Epoch: [76][1250/10010] Time 0.322 (0.328) Data 0.000 (0.003) Loss 1.4483 (1.3555) Prec@1 65.625 (68.405) Prec@5 88.281 (87.010) Epoch: [76][1260/10010] Time 0.314 (0.328) Data 0.001 (0.003) Loss 1.4698 (1.3561) Prec@1 69.531 (68.392) Prec@5 86.719 (87.000) Epoch: [76][1270/10010] Time 0.336 (0.328) Data 0.000 (0.003) Loss 1.4243 (1.3568) Prec@1 61.719 (68.367) Prec@5 89.844 (86.990) Epoch: [76][1280/10010] Time 0.331 (0.328) Data 0.001 (0.003) Loss 1.2087 (1.3574) Prec@1 72.656 (68.371) Prec@5 89.062 (86.977) Epoch: [76][1290/10010] Time 0.338 (0.328) Data 0.000 (0.003) Loss 1.4209 (1.3578) Prec@1 69.531 (68.383) Prec@5 85.156 (86.977) Epoch: [76][1300/10010] Time 0.339 (0.328) Data 0.001 (0.003) Loss 1.3761 (1.3574) Prec@1 70.312 (68.373) Prec@5 85.938 (86.982) Epoch: [76][1310/10010] Time 0.311 (0.328) Data 0.000 (0.003) Loss 1.6493 (1.3576) Prec@1 62.500 (68.372) Prec@5 84.375 (86.982) Epoch: [76][1320/10010] Time 0.340 (0.328) Data 0.001 (0.003) Loss 1.1665 (1.3571) Prec@1 71.094 (68.374) Prec@5 90.625 (86.988) Epoch: [76][1330/10010] Time 0.318 (0.328) Data 0.001 (0.003) Loss 1.2816 (1.3571) Prec@1 72.656 (68.372) Prec@5 88.281 (86.989) Epoch: [76][1340/10010] Time 0.316 (0.328) Data 0.001 (0.003) Loss 1.2178 (1.3570) Prec@1 73.438 (68.378) Prec@5 89.062 (86.995) Epoch: [76][1350/10010] Time 0.338 (0.328) Data 0.001 (0.003) Loss 1.5945 (1.3573) Prec@1 62.500 (68.379) Prec@5 86.719 (86.989) Epoch: [76][1360/10010] Time 0.311 (0.328) Data 0.001 (0.003) Loss 1.2718 (1.3570) Prec@1 73.438 (68.384) Prec@5 90.625 (86.999) Epoch: [76][1370/10010] Time 0.340 (0.328) Data 0.001 (0.002) Loss 1.4473 (1.3563) Prec@1 67.188 (68.404) Prec@5 84.375 (87.006) Epoch: [76][1380/10010] Time 0.329 (0.328) Data 0.001 (0.002) Loss 1.1422 (1.3560) Prec@1 75.000 (68.415) Prec@5 89.844 (87.013) Epoch: [76][1390/10010] Time 0.323 (0.328) Data 0.000 (0.002) Loss 1.1727 (1.3558) Prec@1 69.531 (68.419) Prec@5 89.062 (87.010) Epoch: [76][1400/10010] Time 0.337 (0.328) Data 0.001 (0.002) Loss 1.7590 (1.3557) Prec@1 59.375 (68.406) Prec@5 82.031 (87.008) Epoch: [76][1410/10010] Time 0.339 (0.328) Data 0.001 (0.002) Loss 1.0522 (1.3555) Prec@1 79.688 (68.423) Prec@5 92.188 (87.009) Epoch: [76][1420/10010] Time 0.325 (0.328) Data 0.001 (0.002) Loss 1.2359 (1.3552) Prec@1 70.312 (68.427) Prec@5 87.500 (87.011) Epoch: [76][1430/10010] Time 0.332 (0.328) Data 0.000 (0.002) Loss 1.3582 (1.3553) Prec@1 64.844 (68.431) Prec@5 88.281 (87.006) Epoch: [76][1440/10010] Time 0.326 (0.328) Data 0.001 (0.002) Loss 1.1564 (1.3552) Prec@1 71.875 (68.432) Prec@5 89.844 (87.006) Epoch: [76][1450/10010] Time 0.324 (0.328) Data 0.000 (0.002) Loss 1.1783 (1.3559) Prec@1 70.312 (68.423) Prec@5 89.062 (86.995) Epoch: [76][1460/10010] Time 0.325 (0.328) Data 0.001 (0.002) Loss 1.2979 (1.3560) Prec@1 71.875 (68.417) Prec@5 89.062 (86.996) Epoch: [76][1470/10010] Time 0.334 (0.328) Data 0.001 (0.002) Loss 1.1302 (1.3556) Prec@1 74.219 (68.422) Prec@5 92.969 (86.994) Epoch: [76][1480/10010] Time 0.333 (0.328) Data 0.001 (0.002) Loss 1.0804 (1.3555) Prec@1 74.219 (68.434) Prec@5 91.406 (86.993) Epoch: [76][1490/10010] Time 0.320 (0.328) Data 0.001 (0.002) Loss 1.2214 (1.3555) Prec@1 72.656 (68.436) Prec@5 86.719 (86.998) Epoch: [76][1500/10010] Time 0.311 (0.328) Data 0.001 (0.002) Loss 1.3902 (1.3558) Prec@1 70.312 (68.429) Prec@5 82.812 (86.993) Epoch: [76][1510/10010] Time 0.334 (0.328) Data 0.000 (0.002) Loss 1.2616 (1.3555) Prec@1 66.406 (68.428) Prec@5 87.500 (86.996) Epoch: [76][1520/10010] Time 0.337 (0.328) Data 0.001 (0.002) Loss 1.4606 (1.3550) Prec@1 70.312 (68.437) Prec@5 83.594 (87.007) Epoch: [76][1530/10010] Time 0.326 (0.328) Data 0.001 (0.002) Loss 1.4301 (1.3549) Prec@1 70.312 (68.438) Prec@5 86.719 (87.009) Epoch: [76][1540/10010] Time 0.337 (0.328) Data 0.001 (0.002) Loss 1.4942 (1.3554) Prec@1 67.188 (68.430) Prec@5 83.594 (87.004) Epoch: [76][1550/10010] Time 0.343 (0.328) Data 0.000 (0.002) Loss 1.4865 (1.3558) Prec@1 68.750 (68.416) Prec@5 85.156 (86.992) Epoch: [76][1560/10010] Time 0.341 (0.328) Data 0.001 (0.002) Loss 1.2939 (1.3556) Prec@1 70.312 (68.426) Prec@5 89.844 (86.995) Epoch: [76][1570/10010] Time 0.341 (0.328) Data 0.001 (0.002) Loss 1.3210 (1.3562) Prec@1 70.312 (68.413) Prec@5 85.156 (86.985) Epoch: [76][1580/10010] Time 0.338 (0.328) Data 0.001 (0.002) Loss 1.6243 (1.3562) Prec@1 67.188 (68.414) Prec@5 85.156 (86.988) Epoch: [76][1590/10010] Time 0.338 (0.328) Data 0.000 (0.002) Loss 1.4229 (1.3569) Prec@1 66.406 (68.402) Prec@5 86.719 (86.970) Epoch: [76][1600/10010] Time 0.339 (0.328) Data 0.001 (0.002) Loss 1.2733 (1.3569) Prec@1 65.625 (68.399) Prec@5 90.625 (86.969) Epoch: [76][1610/10010] Time 0.331 (0.328) Data 0.001 (0.002) Loss 1.2257 (1.3569) Prec@1 72.656 (68.399) Prec@5 85.938 (86.969) Epoch: [76][1620/10010] Time 0.337 (0.328) Data 0.001 (0.002) Loss 1.3962 (1.3569) Prec@1 64.844 (68.403) Prec@5 85.938 (86.970) Epoch: [76][1630/10010] Time 0.317 (0.328) Data 0.000 (0.002) Loss 1.3198 (1.3567) Prec@1 67.969 (68.408) Prec@5 89.062 (86.978) Epoch: [76][1640/10010] Time 0.310 (0.328) Data 0.000 (0.002) Loss 1.3294 (1.3565) Prec@1 64.062 (68.408) Prec@5 89.062 (86.986) Epoch: [76][1650/10010] Time 0.335 (0.328) Data 0.001 (0.002) Loss 1.2718 (1.3563) Prec@1 67.188 (68.405) Prec@5 89.844 (86.995) Epoch: [76][1660/10010] Time 0.319 (0.328) Data 0.001 (0.002) Loss 1.3112 (1.3563) Prec@1 74.219 (68.409) Prec@5 89.062 (86.993) Epoch: [76][1670/10010] Time 0.338 (0.328) Data 0.000 (0.002) Loss 1.2229 (1.3569) Prec@1 72.656 (68.395) Prec@5 89.062 (86.984) Epoch: [76][1680/10010] Time 0.337 (0.328) Data 0.001 (0.002) Loss 1.4539 (1.3572) Prec@1 65.625 (68.391) Prec@5 84.375 (86.975) Epoch: [76][1690/10010] Time 0.325 (0.328) Data 0.001 (0.002) Loss 1.2693 (1.3574) Prec@1 72.656 (68.387) Prec@5 88.281 (86.976) Epoch: [76][1700/10010] Time 0.325 (0.328) Data 0.001 (0.002) Loss 1.4427 (1.3576) Prec@1 62.500 (68.391) Prec@5 88.281 (86.973) Epoch: [76][1710/10010] Time 0.334 (0.328) Data 0.000 (0.002) Loss 1.3376 (1.3576) Prec@1 65.625 (68.391) Prec@5 92.969 (86.978) Epoch: [76][1720/10010] Time 0.339 (0.328) Data 0.001 (0.002) Loss 1.5910 (1.3578) Prec@1 61.719 (68.387) Prec@5 83.594 (86.978) Epoch: [76][1730/10010] Time 0.319 (0.328) Data 0.000 (0.002) Loss 1.2901 (1.3580) Prec@1 67.969 (68.384) Prec@5 88.281 (86.978) Epoch: [76][1740/10010] Time 0.318 (0.328) Data 0.001 (0.002) Loss 1.1710 (1.3581) Prec@1 69.531 (68.378) Prec@5 89.062 (86.977) Epoch: [76][1750/10010] Time 0.319 (0.328) Data 0.000 (0.002) Loss 1.4923 (1.3583) Prec@1 64.844 (68.377) Prec@5 85.938 (86.977) Epoch: [76][1760/10010] Time 0.328 (0.328) Data 0.001 (0.002) Loss 1.3064 (1.3583) Prec@1 71.875 (68.378) Prec@5 88.281 (86.984) Epoch: [76][1770/10010] Time 0.322 (0.328) Data 0.001 (0.002) Loss 1.2432 (1.3579) Prec@1 71.875 (68.387) Prec@5 89.062 (86.990) Epoch: [76][1780/10010] Time 0.324 (0.328) Data 0.001 (0.002) Loss 1.3793 (1.3583) Prec@1 69.531 (68.378) Prec@5 88.281 (86.990) Epoch: [76][1790/10010] Time 0.336 (0.328) Data 0.001 (0.002) Loss 1.3858 (1.3585) Prec@1 65.625 (68.369) Prec@5 86.719 (86.985) Epoch: [76][1800/10010] Time 0.327 (0.328) Data 0.001 (0.002) Loss 1.4836 (1.3587) Prec@1 64.062 (68.368) Prec@5 85.938 (86.982) Epoch: [76][1810/10010] Time 0.336 (0.328) Data 0.000 (0.002) Loss 1.2695 (1.3587) Prec@1 67.969 (68.376) Prec@5 89.844 (86.990) Epoch: [76][1820/10010] Time 0.337 (0.328) Data 0.000 (0.002) Loss 1.1590 (1.3586) Prec@1 68.750 (68.377) Prec@5 89.062 (86.996) Epoch: [76][1830/10010] Time 0.313 (0.328) Data 0.001 (0.002) Loss 1.4347 (1.3589) Prec@1 64.844 (68.366) Prec@5 87.500 (86.996) Epoch: [76][1840/10010] Time 0.322 (0.328) Data 0.001 (0.002) Loss 1.4900 (1.3592) Prec@1 67.188 (68.358) Prec@5 88.281 (86.992) Epoch: [76][1850/10010] Time 0.320 (0.328) Data 0.001 (0.002) Loss 1.5419 (1.3591) Prec@1 63.281 (68.357) Prec@5 87.500 (86.996) Epoch: [76][1860/10010] Time 0.333 (0.328) Data 0.001 (0.002) Loss 1.5700 (1.3591) Prec@1 64.062 (68.357) Prec@5 83.594 (86.997) Epoch: [76][1870/10010] Time 0.312 (0.328) Data 0.001 (0.002) Loss 1.1870 (1.3592) Prec@1 67.969 (68.351) Prec@5 92.969 (87.000) Epoch: [76][1880/10010] Time 0.316 (0.328) Data 0.001 (0.002) Loss 1.3553 (1.3593) Prec@1 66.406 (68.348) Prec@5 85.938 (86.994) Epoch: [76][1890/10010] Time 0.323 (0.328) Data 0.001 (0.002) Loss 1.4275 (1.3594) Prec@1 62.500 (68.345) Prec@5 85.938 (86.989) Epoch: [76][1900/10010] Time 0.326 (0.328) Data 0.001 (0.002) Loss 1.7448 (1.3593) Prec@1 60.938 (68.346) Prec@5 82.812 (86.986) Epoch: [76][1910/10010] Time 0.323 (0.328) Data 0.000 (0.002) Loss 1.6044 (1.3593) Prec@1 70.312 (68.355) Prec@5 82.812 (86.989) Epoch: [76][1920/10010] Time 0.313 (0.328) Data 0.001 (0.002) Loss 1.6046 (1.3594) Prec@1 58.594 (68.346) Prec@5 87.500 (86.991) Epoch: [76][1930/10010] Time 0.335 (0.328) Data 0.001 (0.002) Loss 1.6644 (1.3594) Prec@1 62.500 (68.348) Prec@5 83.594 (86.989) Epoch: [76][1940/10010] Time 0.320 (0.328) Data 0.000 (0.002) Loss 1.6434 (1.3595) Prec@1 61.719 (68.350) Prec@5 85.938 (86.990) Epoch: [76][1950/10010] Time 0.329 (0.328) Data 0.001 (0.002) Loss 1.6793 (1.3593) Prec@1 62.500 (68.353) Prec@5 82.812 (86.993) Epoch: [76][1960/10010] Time 0.320 (0.328) Data 0.001 (0.002) Loss 1.5946 (1.3597) Prec@1 64.844 (68.350) Prec@5 85.938 (86.980) Epoch: [76][1970/10010] Time 0.324 (0.328) Data 0.000 (0.002) Loss 1.3558 (1.3595) Prec@1 70.312 (68.356) Prec@5 86.719 (86.986) Epoch: [76][1980/10010] Time 0.337 (0.328) Data 0.001 (0.002) Loss 1.1437 (1.3599) Prec@1 71.094 (68.349) Prec@5 90.625 (86.981) Epoch: [76][1990/10010] Time 0.332 (0.328) Data 0.001 (0.002) Loss 1.3755 (1.3600) Prec@1 68.750 (68.345) Prec@5 85.156 (86.974) Epoch: [76][2000/10010] Time 0.315 (0.328) Data 0.000 (0.002) Loss 1.1834 (1.3598) Prec@1 71.875 (68.349) Prec@5 88.281 (86.980) Epoch: [76][2010/10010] Time 0.319 (0.328) Data 0.001 (0.002) Loss 1.4217 (1.3601) Prec@1 61.719 (68.339) Prec@5 88.281 (86.976) Epoch: [76][2020/10010] Time 0.308 (0.328) Data 0.001 (0.002) Loss 1.4036 (1.3602) Prec@1 64.844 (68.335) Prec@5 86.719 (86.972) Epoch: [76][2030/10010] Time 0.339 (0.328) Data 0.001 (0.002) Loss 1.5609 (1.3598) Prec@1 58.594 (68.344) Prec@5 82.812 (86.976) Epoch: [76][2040/10010] Time 0.322 (0.328) Data 0.000 (0.002) Loss 1.1809 (1.3599) Prec@1 69.531 (68.342) Prec@5 92.188 (86.972) Epoch: [76][2050/10010] Time 0.327 (0.328) Data 0.001 (0.002) Loss 1.2881 (1.3596) Prec@1 62.500 (68.344) Prec@5 86.719 (86.973) Epoch: [76][2060/10010] Time 0.318 (0.328) Data 0.001 (0.002) Loss 1.4261 (1.3596) Prec@1 65.625 (68.342) Prec@5 85.938 (86.968) Epoch: [76][2070/10010] Time 0.320 (0.328) Data 0.001 (0.002) Loss 1.6047 (1.3600) Prec@1 63.281 (68.333) Prec@5 82.812 (86.955) Epoch: [76][2080/10010] Time 0.320 (0.328) Data 0.000 (0.002) Loss 1.5609 (1.3602) Prec@1 66.406 (68.327) Prec@5 85.156 (86.951) Epoch: [76][2090/10010] Time 0.335 (0.328) Data 0.001 (0.002) Loss 1.2557 (1.3602) Prec@1 66.406 (68.330) Prec@5 89.062 (86.955) Epoch: [76][2100/10010] Time 0.328 (0.328) Data 0.001 (0.002) Loss 1.3931 (1.3605) Prec@1 70.312 (68.331) Prec@5 89.844 (86.955) Epoch: [76][2110/10010] Time 0.327 (0.328) Data 0.001 (0.002) Loss 1.1624 (1.3600) Prec@1 71.875 (68.340) Prec@5 88.281 (86.959) Epoch: [76][2120/10010] Time 0.328 (0.328) Data 0.001 (0.002) Loss 1.2476 (1.3597) Prec@1 75.000 (68.346) Prec@5 87.500 (86.966) Epoch: [76][2130/10010] Time 0.332 (0.328) Data 0.001 (0.002) Loss 1.3408 (1.3599) Prec@1 65.625 (68.345) Prec@5 86.719 (86.961) Epoch: [76][2140/10010] Time 0.332 (0.328) Data 0.001 (0.002) Loss 1.3912 (1.3597) Prec@1 65.625 (68.345) Prec@5 85.938 (86.960) Epoch: [76][2150/10010] Time 0.325 (0.328) Data 0.000 (0.002) Loss 1.1571 (1.3598) Prec@1 72.656 (68.342) Prec@5 91.406 (86.954) Epoch: [76][2160/10010] Time 0.322 (0.328) Data 0.001 (0.002) Loss 1.3578 (1.3600) Prec@1 70.312 (68.336) Prec@5 85.938 (86.952) Epoch: [76][2170/10010] Time 0.327 (0.328) Data 0.001 (0.002) Loss 1.2283 (1.3601) Prec@1 72.656 (68.339) Prec@5 85.938 (86.949) Epoch: [76][2180/10010] Time 0.329 (0.328) Data 0.001 (0.002) Loss 1.0473 (1.3604) Prec@1 71.875 (68.331) Prec@5 89.062 (86.939) Epoch: [76][2190/10010] Time 0.324 (0.328) Data 0.001 (0.002) Loss 1.4931 (1.3606) Prec@1 64.844 (68.326) Prec@5 85.156 (86.938) Epoch: [76][2200/10010] Time 0.338 (0.328) Data 0.001 (0.002) Loss 1.2900 (1.3606) Prec@1 71.094 (68.325) Prec@5 87.500 (86.937) Epoch: [76][2210/10010] Time 0.336 (0.328) Data 0.000 (0.002) Loss 1.4415 (1.3607) Prec@1 66.406 (68.322) Prec@5 85.938 (86.933) Epoch: [76][2220/10010] Time 0.333 (0.328) Data 0.001 (0.002) Loss 1.0613 (1.3603) Prec@1 74.219 (68.332) Prec@5 91.406 (86.938) Epoch: [76][2230/10010] Time 0.313 (0.328) Data 0.001 (0.002) Loss 1.3456 (1.3604) Prec@1 67.188 (68.333) Prec@5 87.500 (86.936) Epoch: [76][2240/10010] Time 0.332 (0.328) Data 0.001 (0.002) Loss 1.0564 (1.3604) Prec@1 73.438 (68.340) Prec@5 89.844 (86.938) Epoch: [76][2250/10010] Time 0.315 (0.328) Data 0.001 (0.002) Loss 1.4215 (1.3601) Prec@1 63.281 (68.346) Prec@5 85.156 (86.941) Epoch: [76][2260/10010] Time 0.323 (0.328) Data 0.001 (0.002) Loss 1.3469 (1.3601) Prec@1 67.188 (68.348) Prec@5 89.062 (86.945) Epoch: [76][2270/10010] Time 0.339 (0.328) Data 0.001 (0.002) Loss 1.2898 (1.3600) Prec@1 68.750 (68.348) Prec@5 89.844 (86.950) Epoch: [76][2280/10010] Time 0.319 (0.328) Data 0.001 (0.002) Loss 1.2908 (1.3604) Prec@1 63.281 (68.340) Prec@5 89.844 (86.945) Epoch: [76][2290/10010] Time 0.333 (0.328) Data 0.001 (0.002) Loss 1.5707 (1.3607) Prec@1 58.594 (68.336) Prec@5 85.156 (86.937) Epoch: [76][2300/10010] Time 0.313 (0.328) Data 0.000 (0.002) Loss 1.1183 (1.3604) Prec@1 73.438 (68.342) Prec@5 90.625 (86.943) Epoch: [76][2310/10010] Time 0.332 (0.328) Data 0.001 (0.002) Loss 1.2542 (1.3604) Prec@1 73.438 (68.344) Prec@5 88.281 (86.943) Epoch: [76][2320/10010] Time 0.338 (0.328) Data 0.001 (0.002) Loss 1.4095 (1.3605) Prec@1 67.969 (68.337) Prec@5 84.375 (86.943) Epoch: [76][2330/10010] Time 0.319 (0.328) Data 0.001 (0.002) Loss 1.3415 (1.3606) Prec@1 69.531 (68.333) Prec@5 85.156 (86.939) Epoch: [76][2340/10010] Time 0.338 (0.328) Data 0.001 (0.002) Loss 1.5798 (1.3611) Prec@1 63.281 (68.324) Prec@5 81.250 (86.935) Epoch: [76][2350/10010] Time 0.321 (0.328) Data 0.000 (0.002) Loss 1.3057 (1.3615) Prec@1 75.000 (68.321) Prec@5 88.281 (86.930) Epoch: [76][2360/10010] Time 0.333 (0.328) Data 0.000 (0.002) Loss 1.1731 (1.3620) Prec@1 70.312 (68.313) Prec@5 91.406 (86.924) Epoch: [76][2370/10010] Time 0.328 (0.328) Data 0.000 (0.002) Loss 1.4427 (1.3619) Prec@1 61.719 (68.310) Prec@5 84.375 (86.922) Epoch: [76][2380/10010] Time 0.345 (0.328) Data 0.000 (0.002) Loss 1.3102 (1.3616) Prec@1 64.062 (68.308) Prec@5 89.844 (86.932) Epoch: [76][2390/10010] Time 0.337 (0.328) Data 0.001 (0.002) Loss 1.5507 (1.3617) Prec@1 67.969 (68.308) Prec@5 85.156 (86.931) Epoch: [76][2400/10010] Time 0.313 (0.328) Data 0.001 (0.002) Loss 1.2611 (1.3614) Prec@1 67.969 (68.314) Prec@5 87.500 (86.936) Epoch: [76][2410/10010] Time 0.335 (0.328) Data 0.001 (0.002) Loss 1.4131 (1.3616) Prec@1 67.188 (68.311) Prec@5 88.281 (86.937) Epoch: [76][2420/10010] Time 0.316 (0.328) Data 0.000 (0.002) Loss 1.4325 (1.3614) Prec@1 63.281 (68.319) Prec@5 84.375 (86.940) Epoch: [76][2430/10010] Time 0.330 (0.328) Data 0.002 (0.002) Loss 1.6178 (1.3612) Prec@1 61.719 (68.322) Prec@5 83.594 (86.940) Epoch: [76][2440/10010] Time 0.321 (0.328) Data 0.000 (0.002) Loss 1.2333 (1.3611) Prec@1 69.531 (68.322) Prec@5 91.406 (86.945) Epoch: [76][2450/10010] Time 0.330 (0.328) Data 0.000 (0.002) Loss 1.2213 (1.3610) Prec@1 72.656 (68.324) Prec@5 89.844 (86.950) Epoch: [76][2460/10010] Time 0.315 (0.328) Data 0.000 (0.002) Loss 1.4123 (1.3610) Prec@1 63.281 (68.319) Prec@5 88.281 (86.952) Epoch: [76][2470/10010] Time 0.333 (0.328) Data 0.001 (0.002) Loss 1.3883 (1.3608) Prec@1 65.625 (68.323) Prec@5 86.719 (86.957) Epoch: [76][2480/10010] Time 0.317 (0.328) Data 0.001 (0.002) Loss 1.1638 (1.3606) Prec@1 71.875 (68.323) Prec@5 91.406 (86.964) Epoch: [76][2490/10010] Time 0.330 (0.328) Data 0.001 (0.002) Loss 1.4691 (1.3609) Prec@1 71.875 (68.318) Prec@5 85.938 (86.961) Epoch: [76][2500/10010] Time 0.342 (0.328) Data 0.000 (0.002) Loss 1.2398 (1.3608) Prec@1 73.438 (68.321) Prec@5 88.281 (86.961) Epoch: [76][2510/10010] Time 0.335 (0.328) Data 0.001 (0.002) Loss 1.5908 (1.3609) Prec@1 68.750 (68.319) Prec@5 84.375 (86.959) Epoch: [76][2520/10010] Time 0.332 (0.328) Data 0.000 (0.002) Loss 1.6670 (1.3612) Prec@1 61.719 (68.317) Prec@5 81.250 (86.952) Epoch: [76][2530/10010] Time 0.338 (0.328) Data 0.001 (0.002) Loss 1.3309 (1.3615) Prec@1 67.188 (68.313) Prec@5 85.156 (86.946) Epoch: [76][2540/10010] Time 0.313 (0.328) Data 0.001 (0.002) Loss 1.1720 (1.3614) Prec@1 71.875 (68.314) Prec@5 92.188 (86.948) Epoch: [76][2550/10010] Time 0.342 (0.328) Data 0.001 (0.002) Loss 1.3543 (1.3611) Prec@1 67.969 (68.317) Prec@5 85.938 (86.956) Epoch: [76][2560/10010] Time 0.341 (0.328) Data 0.001 (0.002) Loss 1.2085 (1.3609) Prec@1 71.875 (68.320) Prec@5 89.062 (86.962) Epoch: [76][2570/10010] Time 0.315 (0.328) Data 0.001 (0.002) Loss 1.1579 (1.3609) Prec@1 72.656 (68.318) Prec@5 86.719 (86.963) Epoch: [76][2580/10010] Time 0.318 (0.328) Data 0.001 (0.002) Loss 1.5234 (1.3608) Prec@1 65.625 (68.321) Prec@5 82.031 (86.967) Epoch: [76][2590/10010] Time 0.338 (0.328) Data 0.001 (0.002) Loss 1.6002 (1.3609) Prec@1 67.188 (68.321) Prec@5 85.938 (86.961) Epoch: [76][2600/10010] Time 0.315 (0.328) Data 0.001 (0.002) Loss 1.5784 (1.3609) Prec@1 60.938 (68.322) Prec@5 87.500 (86.959) Epoch: [76][2610/10010] Time 0.334 (0.328) Data 0.001 (0.002) Loss 1.2738 (1.3608) Prec@1 71.875 (68.327) Prec@5 87.500 (86.960) Epoch: [76][2620/10010] Time 0.313 (0.328) Data 0.001 (0.002) Loss 1.0919 (1.3604) Prec@1 70.312 (68.337) Prec@5 89.844 (86.966) Epoch: [76][2630/10010] Time 0.339 (0.328) Data 0.001 (0.002) Loss 1.6124 (1.3604) Prec@1 64.844 (68.337) Prec@5 85.156 (86.965) Epoch: [76][2640/10010] Time 0.327 (0.328) Data 0.001 (0.002) Loss 1.5063 (1.3604) Prec@1 59.375 (68.336) Prec@5 87.500 (86.962) Epoch: [76][2650/10010] Time 0.340 (0.328) Data 0.000 (0.002) Loss 1.2468 (1.3601) Prec@1 74.219 (68.344) Prec@5 90.625 (86.964) Epoch: [76][2660/10010] Time 0.317 (0.328) Data 0.001 (0.002) Loss 1.2627 (1.3601) Prec@1 71.875 (68.345) Prec@5 89.062 (86.964) Epoch: [76][2670/10010] Time 0.339 (0.328) Data 0.000 (0.002) Loss 1.4555 (1.3599) Prec@1 67.969 (68.347) Prec@5 82.031 (86.967) Epoch: [76][2680/10010] Time 0.320 (0.328) Data 0.001 (0.002) Loss 1.3753 (1.3596) Prec@1 71.094 (68.348) Prec@5 82.031 (86.968) Epoch: [76][2690/10010] Time 0.316 (0.328) Data 0.000 (0.002) Loss 1.2972 (1.3595) Prec@1 70.312 (68.354) Prec@5 87.500 (86.972) Epoch: [76][2700/10010] Time 0.337 (0.328) Data 0.001 (0.002) Loss 1.2382 (1.3596) Prec@1 67.188 (68.349) Prec@5 88.281 (86.969) Epoch: [76][2710/10010] Time 0.317 (0.328) Data 0.001 (0.002) Loss 1.3538 (1.3599) Prec@1 67.188 (68.348) Prec@5 87.500 (86.964) Epoch: [76][2720/10010] Time 0.317 (0.328) Data 0.001 (0.002) Loss 1.2619 (1.3599) Prec@1 74.219 (68.351) Prec@5 88.281 (86.967) Epoch: [76][2730/10010] Time 0.325 (0.328) Data 0.001 (0.002) Loss 1.4248 (1.3601) Prec@1 64.844 (68.345) Prec@5 85.938 (86.961) Epoch: [76][2740/10010] Time 0.324 (0.328) Data 0.001 (0.002) Loss 1.2821 (1.3603) Prec@1 69.531 (68.344) Prec@5 86.719 (86.954) Epoch: [76][2750/10010] Time 0.330 (0.328) Data 0.001 (0.002) Loss 1.4099 (1.3604) Prec@1 64.844 (68.338) Prec@5 83.594 (86.953) Epoch: [76][2760/10010] Time 0.319 (0.328) Data 0.001 (0.002) Loss 1.3450 (1.3602) Prec@1 66.406 (68.345) Prec@5 85.938 (86.959) Epoch: [76][2770/10010] Time 0.320 (0.328) Data 0.000 (0.002) Loss 1.3387 (1.3601) Prec@1 65.625 (68.345) Prec@5 87.500 (86.958) Epoch: [76][2780/10010] Time 0.319 (0.328) Data 0.001 (0.002) Loss 1.5062 (1.3600) Prec@1 61.719 (68.346) Prec@5 89.062 (86.959) Epoch: [76][2790/10010] Time 0.334 (0.328) Data 0.001 (0.002) Loss 1.4908 (1.3599) Prec@1 64.844 (68.346) Prec@5 83.594 (86.961) Epoch: [76][2800/10010] Time 0.322 (0.328) Data 0.001 (0.002) Loss 1.3050 (1.3599) Prec@1 65.625 (68.345) Prec@5 85.938 (86.959) Epoch: [76][2810/10010] Time 0.316 (0.328) Data 0.001 (0.002) Loss 1.3454 (1.3599) Prec@1 66.406 (68.346) Prec@5 88.281 (86.957) Epoch: [76][2820/10010] Time 0.322 (0.328) Data 0.000 (0.002) Loss 1.3997 (1.3599) Prec@1 67.188 (68.352) Prec@5 86.719 (86.958) Epoch: [76][2830/10010] Time 0.328 (0.328) Data 0.001 (0.002) Loss 1.5129 (1.3597) Prec@1 68.750 (68.353) Prec@5 85.156 (86.961) Epoch: [76][2840/10010] Time 0.322 (0.328) Data 0.001 (0.002) Loss 1.4870 (1.3598) Prec@1 63.281 (68.347) Prec@5 85.938 (86.959) Epoch: [76][2850/10010] Time 0.331 (0.328) Data 0.001 (0.002) Loss 1.1818 (1.3599) Prec@1 72.656 (68.347) Prec@5 90.625 (86.957) Epoch: [76][2860/10010] Time 0.320 (0.328) Data 0.001 (0.002) Loss 1.3469 (1.3599) Prec@1 67.969 (68.346) Prec@5 88.281 (86.955) Epoch: [76][2870/10010] Time 0.333 (0.328) Data 0.001 (0.002) Loss 1.2371 (1.3598) Prec@1 67.188 (68.351) Prec@5 87.500 (86.955) Epoch: [76][2880/10010] Time 0.325 (0.328) Data 0.001 (0.002) Loss 1.4412 (1.3596) Prec@1 68.750 (68.354) Prec@5 84.375 (86.958) Epoch: [76][2890/10010] Time 0.316 (0.328) Data 0.001 (0.002) Loss 1.6573 (1.3596) Prec@1 57.812 (68.354) Prec@5 82.812 (86.958) Epoch: [76][2900/10010] Time 0.326 (0.328) Data 0.004 (0.002) Loss 1.1064 (1.3596) Prec@1 77.344 (68.355) Prec@5 89.844 (86.958) Epoch: [76][2910/10010] Time 0.329 (0.328) Data 0.001 (0.002) Loss 1.3696 (1.3597) Prec@1 65.625 (68.355) Prec@5 86.719 (86.960) Epoch: [76][2920/10010] Time 0.326 (0.328) Data 0.000 (0.002) Loss 1.3004 (1.3593) Prec@1 67.969 (68.365) Prec@5 91.406 (86.964) Epoch: [76][2930/10010] Time 0.309 (0.328) Data 0.001 (0.002) Loss 1.4733 (1.3591) Prec@1 70.312 (68.367) Prec@5 85.156 (86.966) Epoch: [76][2940/10010] Time 0.320 (0.328) Data 0.000 (0.002) Loss 1.2929 (1.3590) Prec@1 71.094 (68.372) Prec@5 85.938 (86.967) Epoch: [76][2950/10010] Time 0.333 (0.328) Data 0.001 (0.002) Loss 1.3529 (1.3592) Prec@1 66.406 (68.369) Prec@5 92.188 (86.966) Epoch: [76][2960/10010] Time 0.337 (0.328) Data 0.001 (0.002) Loss 1.2542 (1.3593) Prec@1 67.188 (68.364) Prec@5 89.844 (86.964) Epoch: [76][2970/10010] Time 0.324 (0.328) Data 0.001 (0.002) Loss 1.1215 (1.3593) Prec@1 70.312 (68.358) Prec@5 92.188 (86.964) Epoch: [76][2980/10010] Time 0.327 (0.328) Data 0.001 (0.002) Loss 1.3931 (1.3593) Prec@1 67.188 (68.359) Prec@5 89.062 (86.963) Epoch: [76][2990/10010] Time 0.329 (0.328) Data 0.001 (0.001) Loss 1.2938 (1.3590) Prec@1 71.094 (68.365) Prec@5 91.406 (86.972) Epoch: [76][3000/10010] Time 0.323 (0.328) Data 0.001 (0.001) Loss 1.2897 (1.3589) Prec@1 68.750 (68.366) Prec@5 90.625 (86.976) Epoch: [76][3010/10010] Time 0.312 (0.328) Data 0.001 (0.001) Loss 1.2524 (1.3588) Prec@1 71.875 (68.365) Prec@5 87.500 (86.980) Epoch: [76][3020/10010] Time 0.319 (0.328) Data 0.001 (0.001) Loss 1.2887 (1.3588) Prec@1 63.281 (68.363) Prec@5 89.062 (86.980) Epoch: [76][3030/10010] Time 0.316 (0.328) Data 0.001 (0.001) Loss 1.3714 (1.3585) Prec@1 70.312 (68.367) Prec@5 87.500 (86.985) Epoch: [76][3040/10010] Time 0.339 (0.328) Data 0.001 (0.001) Loss 1.0857 (1.3583) Prec@1 72.656 (68.368) Prec@5 89.062 (86.986) Epoch: [76][3050/10010] Time 0.317 (0.328) Data 0.001 (0.001) Loss 1.3089 (1.3581) Prec@1 67.188 (68.369) Prec@5 90.625 (86.989) Epoch: [76][3060/10010] Time 0.334 (0.328) Data 0.000 (0.001) Loss 1.0776 (1.3582) Prec@1 72.656 (68.373) Prec@5 89.844 (86.985) Epoch: [76][3070/10010] Time 0.316 (0.328) Data 0.001 (0.001) Loss 1.2276 (1.3581) Prec@1 67.969 (68.374) Prec@5 86.719 (86.985) Epoch: [76][3080/10010] Time 0.336 (0.328) Data 0.001 (0.001) Loss 1.6133 (1.3583) Prec@1 60.156 (68.368) Prec@5 79.688 (86.982) Epoch: [76][3090/10010] Time 0.320 (0.328) Data 0.001 (0.001) Loss 1.4843 (1.3586) Prec@1 64.062 (68.362) Prec@5 82.031 (86.978) Epoch: [76][3100/10010] Time 0.335 (0.328) Data 0.000 (0.001) Loss 1.3492 (1.3586) Prec@1 69.531 (68.362) Prec@5 86.719 (86.978) Epoch: [76][3110/10010] Time 0.318 (0.328) Data 0.001 (0.001) Loss 1.6863 (1.3586) Prec@1 62.500 (68.364) Prec@5 82.031 (86.978) Epoch: [76][3120/10010] Time 0.319 (0.328) Data 0.001 (0.001) Loss 1.2718 (1.3586) Prec@1 74.219 (68.366) Prec@5 88.281 (86.982) Epoch: [76][3130/10010] Time 0.321 (0.328) Data 0.000 (0.001) Loss 1.0902 (1.3588) Prec@1 75.781 (68.362) Prec@5 91.406 (86.978) Epoch: [76][3140/10010] Time 0.322 (0.328) Data 0.001 (0.001) Loss 1.2340 (1.3589) Prec@1 71.094 (68.363) Prec@5 88.281 (86.977) Epoch: [76][3150/10010] Time 0.324 (0.328) Data 0.001 (0.001) Loss 1.1425 (1.3587) Prec@1 70.312 (68.362) Prec@5 91.406 (86.984) Epoch: [76][3160/10010] Time 0.320 (0.328) Data 0.001 (0.001) Loss 1.6005 (1.3590) Prec@1 64.062 (68.356) Prec@5 85.156 (86.979) Epoch: [76][3170/10010] Time 0.326 (0.328) Data 0.001 (0.001) Loss 1.4549 (1.3590) Prec@1 67.969 (68.355) Prec@5 84.375 (86.980) Epoch: [76][3180/10010] Time 0.329 (0.328) Data 0.001 (0.001) Loss 1.3693 (1.3589) Prec@1 69.531 (68.357) Prec@5 89.844 (86.983) Epoch: [76][3190/10010] Time 0.319 (0.328) Data 0.001 (0.001) Loss 0.9878 (1.3588) Prec@1 82.812 (68.361) Prec@5 94.531 (86.984) Epoch: [76][3200/10010] Time 0.325 (0.328) Data 0.001 (0.001) Loss 1.2398 (1.3588) Prec@1 69.531 (68.359) Prec@5 86.719 (86.980) Epoch: [76][3210/10010] Time 0.324 (0.328) Data 0.001 (0.001) Loss 1.4113 (1.3588) Prec@1 66.406 (68.359) Prec@5 85.938 (86.982) Epoch: [76][3220/10010] Time 0.326 (0.327) Data 0.001 (0.001) Loss 1.4785 (1.3589) Prec@1 66.406 (68.358) Prec@5 85.938 (86.979) Epoch: [76][3230/10010] Time 0.334 (0.327) Data 0.000 (0.001) Loss 1.1951 (1.3589) Prec@1 70.312 (68.357) Prec@5 89.844 (86.977) Epoch: [76][3240/10010] Time 0.337 (0.328) Data 0.001 (0.001) Loss 1.6724 (1.3590) Prec@1 60.938 (68.359) Prec@5 78.906 (86.974) Epoch: [76][3250/10010] Time 0.340 (0.328) Data 0.001 (0.001) Loss 1.4385 (1.3591) Prec@1 70.312 (68.357) Prec@5 84.375 (86.971) Epoch: [76][3260/10010] Time 0.319 (0.328) Data 0.000 (0.001) Loss 1.4776 (1.3591) Prec@1 68.750 (68.357) Prec@5 85.156 (86.970) Epoch: [76][3270/10010] Time 0.329 (0.327) Data 0.001 (0.001) Loss 1.3139 (1.3591) Prec@1 72.656 (68.358) Prec@5 85.938 (86.971) Epoch: [76][3280/10010] Time 0.316 (0.327) Data 0.001 (0.001) Loss 1.6263 (1.3590) Prec@1 64.844 (68.359) Prec@5 82.812 (86.974) Epoch: [76][3290/10010] Time 0.342 (0.327) Data 0.000 (0.001) Loss 1.3561 (1.3592) Prec@1 68.750 (68.354) Prec@5 89.844 (86.971) Epoch: [76][3300/10010] Time 0.320 (0.327) Data 0.001 (0.001) Loss 1.4863 (1.3594) Prec@1 65.625 (68.347) Prec@5 88.281 (86.968) Epoch: [76][3310/10010] Time 0.335 (0.327) Data 0.001 (0.001) Loss 1.5039 (1.3594) Prec@1 68.750 (68.344) Prec@5 82.812 (86.967) Epoch: [76][3320/10010] Time 0.334 (0.327) Data 0.001 (0.001) Loss 1.1184 (1.3597) Prec@1 76.562 (68.346) Prec@5 92.969 (86.965) Epoch: [76][3330/10010] Time 0.316 (0.327) Data 0.001 (0.001) Loss 1.0945 (1.3595) Prec@1 74.219 (68.351) Prec@5 91.406 (86.966) Epoch: [76][3340/10010] Time 0.316 (0.327) Data 0.000 (0.001) Loss 1.4947 (1.3596) Prec@1 63.281 (68.347) Prec@5 82.812 (86.966) Epoch: [76][3350/10010] Time 0.338 (0.327) Data 0.001 (0.001) Loss 1.2888 (1.3597) Prec@1 75.000 (68.348) Prec@5 89.062 (86.967) Epoch: [76][3360/10010] Time 0.319 (0.327) Data 0.001 (0.001) Loss 1.4701 (1.3598) Prec@1 69.531 (68.347) Prec@5 84.375 (86.967) Epoch: [76][3370/10010] Time 0.339 (0.328) Data 0.001 (0.001) Loss 1.1402 (1.3596) Prec@1 73.438 (68.354) Prec@5 86.719 (86.968) Epoch: [76][3380/10010] Time 0.313 (0.328) Data 0.001 (0.001) Loss 1.4651 (1.3595) Prec@1 67.969 (68.358) Prec@5 84.375 (86.969) Epoch: [76][3390/10010] Time 0.334 (0.328) Data 0.001 (0.001) Loss 1.3946 (1.3597) Prec@1 63.281 (68.354) Prec@5 85.156 (86.965) Epoch: [76][3400/10010] Time 0.320 (0.328) Data 0.000 (0.001) Loss 1.3350 (1.3594) Prec@1 66.406 (68.363) Prec@5 87.500 (86.968) Epoch: [76][3410/10010] Time 0.337 (0.328) Data 0.001 (0.001) Loss 1.1258 (1.3593) Prec@1 69.531 (68.366) Prec@5 89.844 (86.973) Epoch: [76][3420/10010] Time 0.312 (0.328) Data 0.001 (0.001) Loss 1.4661 (1.3594) Prec@1 72.656 (68.363) Prec@5 85.938 (86.971) Epoch: [76][3430/10010] Time 0.336 (0.328) Data 0.001 (0.001) Loss 0.9742 (1.3592) Prec@1 76.562 (68.369) Prec@5 92.969 (86.975) Epoch: [76][3440/10010] Time 0.331 (0.328) Data 0.001 (0.001) Loss 1.2286 (1.3594) Prec@1 69.531 (68.370) Prec@5 89.062 (86.975) Epoch: [76][3450/10010] Time 0.322 (0.328) Data 0.001 (0.001) Loss 1.3454 (1.3593) Prec@1 68.750 (68.367) Prec@5 85.938 (86.974) Epoch: [76][3460/10010] Time 0.317 (0.328) Data 0.001 (0.001) Loss 1.4763 (1.3594) Prec@1 66.406 (68.368) Prec@5 86.719 (86.975) Epoch: [76][3470/10010] Time 0.318 (0.328) Data 0.001 (0.001) Loss 1.0706 (1.3594) Prec@1 72.656 (68.363) Prec@5 91.406 (86.976) Epoch: [76][3480/10010] Time 0.338 (0.328) Data 0.001 (0.001) Loss 1.3719 (1.3595) Prec@1 71.875 (68.362) Prec@5 85.938 (86.973) Epoch: [76][3490/10010] Time 0.325 (0.328) Data 0.001 (0.001) Loss 1.3803 (1.3595) Prec@1 70.312 (68.362) Prec@5 85.938 (86.971) Epoch: [76][3500/10010] Time 0.316 (0.328) Data 0.001 (0.001) Loss 1.3373 (1.3595) Prec@1 67.188 (68.359) Prec@5 89.062 (86.971) Epoch: [76][3510/10010] Time 0.315 (0.328) Data 0.001 (0.001) Loss 1.2632 (1.3592) Prec@1 66.406 (68.359) Prec@5 89.844 (86.974) Epoch: [76][3520/10010] Time 0.336 (0.328) Data 0.001 (0.001) Loss 1.4191 (1.3594) Prec@1 62.500 (68.355) Prec@5 89.062 (86.973) Epoch: [76][3530/10010] Time 0.326 (0.328) Data 0.001 (0.001) Loss 1.1153 (1.3595) Prec@1 71.094 (68.353) Prec@5 88.281 (86.972) Epoch: [76][3540/10010] Time 0.327 (0.328) Data 0.001 (0.001) Loss 1.5748 (1.3597) Prec@1 60.156 (68.347) Prec@5 85.156 (86.970) Epoch: [76][3550/10010] Time 0.318 (0.328) Data 0.001 (0.001) Loss 1.3404 (1.3596) Prec@1 67.188 (68.348) Prec@5 87.500 (86.972) Epoch: [76][3560/10010] Time 0.337 (0.328) Data 0.000 (0.001) Loss 1.5185 (1.3594) Prec@1 70.312 (68.353) Prec@5 82.031 (86.975) Epoch: [76][3570/10010] Time 0.317 (0.328) Data 0.001 (0.001) Loss 1.2579 (1.3593) Prec@1 70.312 (68.357) Prec@5 89.062 (86.977) Epoch: [76][3580/10010] Time 0.314 (0.328) Data 0.001 (0.001) Loss 1.2330 (1.3592) Prec@1 71.094 (68.359) Prec@5 87.500 (86.977) Epoch: [76][3590/10010] Time 0.336 (0.328) Data 0.000 (0.001) Loss 1.3098 (1.3592) Prec@1 71.875 (68.356) Prec@5 87.500 (86.975) Epoch: [76][3600/10010] Time 0.340 (0.328) Data 0.000 (0.001) Loss 1.2019 (1.3590) Prec@1 73.438 (68.361) Prec@5 89.062 (86.978) Epoch: [76][3610/10010] Time 0.313 (0.328) Data 0.001 (0.001) Loss 1.6354 (1.3591) Prec@1 65.625 (68.363) Prec@5 84.375 (86.976) Epoch: [76][3620/10010] Time 0.317 (0.328) Data 0.001 (0.001) Loss 1.2898 (1.3591) Prec@1 70.312 (68.364) Prec@5 85.938 (86.978) Epoch: [76][3630/10010] Time 0.317 (0.328) Data 0.000 (0.001) Loss 1.2333 (1.3589) Prec@1 71.094 (68.364) Prec@5 89.844 (86.980) Epoch: [76][3640/10010] Time 0.342 (0.328) Data 0.001 (0.001) Loss 1.5025 (1.3589) Prec@1 65.625 (68.364) Prec@5 83.594 (86.979) Epoch: [76][3650/10010] Time 0.310 (0.328) Data 0.001 (0.001) Loss 1.3545 (1.3592) Prec@1 68.750 (68.359) Prec@5 85.938 (86.975) Epoch: [76][3660/10010] Time 0.332 (0.328) Data 0.001 (0.001) Loss 1.7047 (1.3593) Prec@1 62.500 (68.362) Prec@5 81.250 (86.976) Epoch: [76][3670/10010] Time 0.336 (0.328) Data 0.000 (0.001) Loss 1.3814 (1.3594) Prec@1 71.875 (68.363) Prec@5 88.281 (86.973) Epoch: [76][3680/10010] Time 0.324 (0.328) Data 0.000 (0.001) Loss 1.4678 (1.3596) Prec@1 65.625 (68.363) Prec@5 85.938 (86.970) Epoch: [76][3690/10010] Time 0.333 (0.328) Data 0.001 (0.001) Loss 1.1413 (1.3595) Prec@1 71.875 (68.366) Prec@5 91.406 (86.973) Epoch: [76][3700/10010] Time 0.328 (0.328) Data 0.000 (0.001) Loss 1.3694 (1.3595) Prec@1 69.531 (68.366) Prec@5 85.938 (86.972) Epoch: [76][3710/10010] Time 0.315 (0.328) Data 0.000 (0.001) Loss 1.5563 (1.3595) Prec@1 69.531 (68.367) Prec@5 82.812 (86.973) Epoch: [76][3720/10010] Time 0.322 (0.328) Data 0.001 (0.001) Loss 1.2729 (1.3594) Prec@1 73.438 (68.370) Prec@5 87.500 (86.972) Epoch: [76][3730/10010] Time 0.317 (0.328) Data 0.001 (0.001) Loss 1.1996 (1.3596) Prec@1 75.000 (68.367) Prec@5 90.625 (86.971) Epoch: [76][3740/10010] Time 0.313 (0.328) Data 0.000 (0.001) Loss 1.1857 (1.3596) Prec@1 74.219 (68.366) Prec@5 87.500 (86.971) Epoch: [76][3750/10010] Time 0.323 (0.328) Data 0.001 (0.001) Loss 1.4650 (1.3595) Prec@1 63.281 (68.365) Prec@5 87.500 (86.972) Epoch: [76][3760/10010] Time 0.318 (0.328) Data 0.001 (0.001) Loss 1.5441 (1.3595) Prec@1 63.281 (68.365) Prec@5 85.156 (86.973) Epoch: [76][3770/10010] Time 0.341 (0.328) Data 0.001 (0.001) Loss 1.5944 (1.3595) Prec@1 66.406 (68.363) Prec@5 87.500 (86.975) Epoch: [76][3780/10010] Time 0.341 (0.328) Data 0.001 (0.001) Loss 1.6006 (1.3595) Prec@1 64.062 (68.364) Prec@5 81.250 (86.974) Epoch: [76][3790/10010] Time 0.338 (0.328) Data 0.001 (0.001) Loss 1.4818 (1.3595) Prec@1 70.312 (68.366) Prec@5 84.375 (86.974) Epoch: [76][3800/10010] Time 0.330 (0.328) Data 0.001 (0.001) Loss 1.0823 (1.3595) Prec@1 75.781 (68.365) Prec@5 90.625 (86.975) Epoch: [76][3810/10010] Time 0.314 (0.328) Data 0.000 (0.001) Loss 1.1495 (1.3594) Prec@1 71.094 (68.367) Prec@5 89.844 (86.976) Epoch: [76][3820/10010] Time 0.343 (0.328) Data 0.000 (0.001) Loss 1.5225 (1.3596) Prec@1 71.094 (68.363) Prec@5 82.812 (86.973) Epoch: [76][3830/10010] Time 0.334 (0.328) Data 0.001 (0.001) Loss 1.1706 (1.3598) Prec@1 74.219 (68.360) Prec@5 89.844 (86.969) Epoch: [76][3840/10010] Time 0.335 (0.328) Data 0.000 (0.001) Loss 1.4772 (1.3599) Prec@1 64.844 (68.355) Prec@5 85.156 (86.969) Epoch: [76][3850/10010] Time 0.323 (0.328) Data 0.001 (0.001) Loss 1.3698 (1.3600) Prec@1 68.750 (68.358) Prec@5 87.500 (86.966) Epoch: [76][3860/10010] Time 0.342 (0.328) Data 0.000 (0.001) Loss 1.2368 (1.3602) Prec@1 64.844 (68.352) Prec@5 93.750 (86.964) Epoch: [76][3870/10010] Time 0.339 (0.328) Data 0.001 (0.001) Loss 1.2402 (1.3600) Prec@1 71.094 (68.356) Prec@5 89.844 (86.969) Epoch: [76][3880/10010] Time 0.338 (0.328) Data 0.001 (0.001) Loss 1.5386 (1.3599) Prec@1 61.719 (68.360) Prec@5 82.812 (86.969) Epoch: [76][3890/10010] Time 0.320 (0.328) Data 0.001 (0.001) Loss 1.4612 (1.3599) Prec@1 62.500 (68.361) Prec@5 89.062 (86.969) /data/vision/torralba/deepscene/lib/anaconda2/lib/python2.7/site-packages/PIL/TiffImagePlugin.py:692: UserWarning: Possibly corrupt EXIF data. Expecting to read 19660800 bytes but only got 0. Skipping tag 0 "Skipping tag %s" % (size, len(data), tag)) /data/vision/torralba/deepscene/lib/anaconda2/lib/python2.7/site-packages/PIL/TiffImagePlugin.py:692: UserWarning: Possibly corrupt EXIF data. Expecting to read 18481152 bytes but only got 0. Skipping tag 0 "Skipping tag %s" % (size, len(data), tag)) /data/vision/torralba/deepscene/lib/anaconda2/lib/python2.7/site-packages/PIL/TiffImagePlugin.py:692: UserWarning: Possibly corrupt EXIF data. Expecting to read 37093376 bytes but only got 0. Skipping tag 0 "Skipping tag %s" % (size, len(data), tag)) /data/vision/torralba/deepscene/lib/anaconda2/lib/python2.7/site-packages/PIL/TiffImagePlugin.py:692: UserWarning: Possibly corrupt EXIF data. Expecting to read 39976960 bytes but only got 0. Skipping tag 0 "Skipping tag %s" % (size, len(data), tag)) /data/vision/torralba/deepscene/lib/anaconda2/lib/python2.7/site-packages/PIL/TiffImagePlugin.py:692: UserWarning: Possibly corrupt EXIF data. Expecting to read 34865152 bytes but only got 0. Skipping tag 0 "Skipping tag %s" % (size, len(data), tag)) /data/vision/torralba/deepscene/lib/anaconda2/lib/python2.7/site-packages/PIL/TiffImagePlugin.py:709: UserWarning: Corrupt EXIF data. Expecting to read 12 bytes but only got 10. warnings.warn(str(msg)) Epoch: [76][3900/10010] Time 0.339 (0.328) Data 0.001 (0.001) Loss 1.5131 (1.3599) Prec@1 68.750 (68.363) Prec@5 83.594 (86.967) Epoch: [76][3910/10010] Time 0.331 (0.328) Data 0.001 (0.001) Loss 1.1865 (1.3598) Prec@1 73.438 (68.365) Prec@5 88.281 (86.966) Epoch: [76][3920/10010] Time 0.316 (0.328) Data 0.001 (0.001) Loss 1.1663 (1.3598) Prec@1 73.438 (68.367) Prec@5 92.188 (86.967) Epoch: [76][3930/10010] Time 0.340 (0.328) Data 0.000 (0.001) Loss 1.1608 (1.3600) Prec@1 75.000 (68.365) Prec@5 89.062 (86.965) Epoch: [76][3940/10010] Time 0.328 (0.328) Data 0.000 (0.001) Loss 1.2233 (1.3600) Prec@1 73.438 (68.363) Prec@5 85.938 (86.965) Epoch: [76][3950/10010] Time 0.325 (0.328) Data 0.001 (0.001) Loss 1.5067 (1.3602) Prec@1 66.406 (68.363) Prec@5 83.594 (86.964) Epoch: [76][3960/10010] Time 0.323 (0.328) Data 0.001 (0.001) Loss 1.2369 (1.3602) Prec@1 65.625 (68.359) Prec@5 88.281 (86.963) Epoch: [76][3970/10010] Time 0.344 (0.328) Data 0.000 (0.001) Loss 1.9397 (1.3604) Prec@1 60.156 (68.358) Prec@5 77.344 (86.960) Epoch: [76][3980/10010] Time 0.333 (0.328) Data 0.001 (0.001) Loss 1.2689 (1.3605) Prec@1 74.219 (68.358) Prec@5 87.500 (86.961) Epoch: [76][3990/10010] Time 0.323 (0.328) Data 0.001 (0.001) Loss 1.4069 (1.3604) Prec@1 67.188 (68.362) Prec@5 88.281 (86.959) Epoch: [76][4000/10010] Time 0.338 (0.328) Data 0.001 (0.001) Loss 1.5480 (1.3604) Prec@1 60.938 (68.360) Prec@5 85.156 (86.960) Epoch: [76][4010/10010] Time 0.323 (0.328) Data 0.000 (0.001) Loss 1.1862 (1.3606) Prec@1 71.875 (68.356) Prec@5 89.062 (86.959) Epoch: [76][4020/10010] Time 0.312 (0.328) Data 0.001 (0.001) Loss 1.4081 (1.3608) Prec@1 67.969 (68.350) Prec@5 86.719 (86.955) Epoch: [76][4030/10010] Time 0.336 (0.328) Data 0.001 (0.001) Loss 1.6436 (1.3607) Prec@1 66.406 (68.352) Prec@5 85.156 (86.956) Epoch: [76][4040/10010] Time 0.337 (0.328) Data 0.000 (0.001) Loss 1.1788 (1.3607) Prec@1 71.094 (68.350) Prec@5 90.625 (86.957) Epoch: [76][4050/10010] Time 0.332 (0.328) Data 0.000 (0.001) Loss 1.3972 (1.3607) Prec@1 66.406 (68.349) Prec@5 85.156 (86.959) Epoch: [76][4060/10010] Time 0.326 (0.328) Data 0.001 (0.001) Loss 1.4319 (1.3608) Prec@1 64.844 (68.347) Prec@5 90.625 (86.958) Epoch: [76][4070/10010] Time 0.319 (0.328) Data 0.000 (0.001) Loss 1.2934 (1.3608) Prec@1 63.281 (68.345) Prec@5 88.281 (86.958) Epoch: [76][4080/10010] Time 0.342 (0.328) Data 0.001 (0.001) Loss 0.8842 (1.3609) Prec@1 79.688 (68.341) Prec@5 96.094 (86.955) Epoch: [76][4090/10010] Time 0.340 (0.328) Data 0.000 (0.001) Loss 1.6063 (1.3611) Prec@1 68.750 (68.340) Prec@5 82.812 (86.954) Epoch: [76][4100/10010] Time 0.336 (0.328) Data 0.001 (0.001) Loss 1.2263 (1.3612) Prec@1 68.750 (68.335) Prec@5 92.188 (86.951) Epoch: [76][4110/10010] Time 0.324 (0.328) Data 0.001 (0.001) Loss 1.5934 (1.3611) Prec@1 66.406 (68.341) Prec@5 82.031 (86.953) Epoch: [76][4120/10010] Time 0.328 (0.328) Data 0.000 (0.001) Loss 1.3616 (1.3614) Prec@1 67.969 (68.341) Prec@5 89.062 (86.947) Epoch: [76][4130/10010] Time 0.340 (0.328) Data 0.000 (0.001) Loss 1.6701 (1.3616) Prec@1 61.719 (68.335) Prec@5 85.938 (86.943) Epoch: [76][4140/10010] Time 0.339 (0.328) Data 0.001 (0.001) Loss 1.1947 (1.3616) Prec@1 71.094 (68.333) Prec@5 87.500 (86.940) Epoch: [76][4150/10010] Time 0.322 (0.328) Data 0.001 (0.001) Loss 1.5562 (1.3617) Prec@1 61.719 (68.329) Prec@5 82.812 (86.940) Epoch: [76][4160/10010] Time 0.327 (0.328) Data 0.001 (0.001) Loss 1.2648 (1.3616) Prec@1 69.531 (68.330) Prec@5 86.719 (86.938) Epoch: [76][4170/10010] Time 0.332 (0.328) Data 0.001 (0.001) Loss 1.4750 (1.3617) Prec@1 71.094 (68.329) Prec@5 85.156 (86.936) Epoch: [76][4180/10010] Time 0.338 (0.328) Data 0.001 (0.001) Loss 1.2135 (1.3617) Prec@1 67.188 (68.330) Prec@5 87.500 (86.938) Epoch: [76][4190/10010] Time 0.340 (0.328) Data 0.001 (0.001) Loss 1.1763 (1.3616) Prec@1 70.312 (68.332) Prec@5 90.625 (86.937) Epoch: [76][4200/10010] Time 0.308 (0.328) Data 0.000 (0.001) Loss 1.3612 (1.3616) Prec@1 65.625 (68.334) Prec@5 87.500 (86.937) Epoch: [76][4210/10010] Time 0.323 (0.328) Data 0.001 (0.001) Loss 1.1861 (1.3614) Prec@1 71.094 (68.337) Prec@5 89.844 (86.942) Epoch: [76][4220/10010] Time 0.330 (0.328) Data 0.001 (0.001) Loss 1.4636 (1.3614) Prec@1 66.406 (68.339) Prec@5 85.938 (86.941) Epoch: [76][4230/10010] Time 0.335 (0.328) Data 0.001 (0.001) Loss 1.0812 (1.3614) Prec@1 76.562 (68.336) Prec@5 92.969 (86.941) Epoch: [76][4240/10010] Time 0.340 (0.328) Data 0.000 (0.001) Loss 1.2606 (1.3613) Prec@1 71.875 (68.339) Prec@5 87.500 (86.941) Epoch: [76][4250/10010] Time 0.319 (0.328) Data 0.001 (0.001) Loss 1.3374 (1.3612) Prec@1 63.281 (68.340) Prec@5 87.500 (86.943) Epoch: [76][4260/10010] Time 0.328 (0.328) Data 0.001 (0.001) Loss 1.2774 (1.3609) Prec@1 68.750 (68.345) Prec@5 87.500 (86.946) /data/vision/torralba/deepscene/lib/anaconda2/lib/python2.7/site-packages/PIL/TiffImagePlugin.py:692: UserWarning: Possibly corrupt EXIF data. Expecting to read 2555904 bytes but only got 0. Skipping tag 0 "Skipping tag %s" % (size, len(data), tag)) Epoch: [76][4270/10010] Time 0.315 (0.328) Data 0.001 (0.001) Loss 1.3996 (1.3608) Prec@1 64.844 (68.342) Prec@5 85.156 (86.949) Epoch: [76][4280/10010] Time 0.331 (0.328) Data 0.000 (0.001) Loss 1.4123 (1.3608) Prec@1 73.438 (68.345) Prec@5 85.938 (86.951) Epoch: [76][4290/10010] Time 0.335 (0.328) Data 0.001 (0.001) Loss 1.1623 (1.3607) Prec@1 69.531 (68.346) Prec@5 90.625 (86.952) Epoch: [76][4300/10010] Time 0.321 (0.328) Data 0.001 (0.001) Loss 1.1421 (1.3608) Prec@1 70.312 (68.342) Prec@5 90.625 (86.953) Epoch: [76][4310/10010] Time 0.335 (0.328) Data 0.001 (0.001) Loss 1.2434 (1.3607) Prec@1 75.781 (68.342) Prec@5 89.062 (86.955) Epoch: [76][4320/10010] Time 0.326 (0.328) Data 0.001 (0.001) Loss 1.4393 (1.3607) Prec@1 67.188 (68.342) Prec@5 87.500 (86.956) Epoch: [76][4330/10010] Time 0.322 (0.328) Data 0.001 (0.001) Loss 1.5301 (1.3607) Prec@1 64.844 (68.340) Prec@5 84.375 (86.952) Epoch: [76][4340/10010] Time 0.332 (0.328) Data 0.001 (0.001) Loss 1.3863 (1.3609) Prec@1 68.750 (68.335) Prec@5 85.156 (86.949) Epoch: [76][4350/10010] Time 0.333 (0.328) Data 0.001 (0.001) Loss 1.2587 (1.3611) Prec@1 69.531 (68.330) Prec@5 86.719 (86.942) Epoch: [76][4360/10010] Time 0.317 (0.328) Data 0.001 (0.001) Loss 1.4066 (1.3610) Prec@1 67.188 (68.333) Prec@5 84.375 (86.943) Epoch: [76][4370/10010] Time 0.329 (0.328) Data 0.001 (0.001) Loss 1.7589 (1.3610) Prec@1 56.250 (68.331) Prec@5 82.031 (86.943) Epoch: [76][4380/10010] Time 0.324 (0.328) Data 0.000 (0.001) Loss 1.3515 (1.3611) Prec@1 67.969 (68.329) Prec@5 85.938 (86.941) Epoch: [76][4390/10010] Time 0.339 (0.328) Data 0.001 (0.001) Loss 1.2442 (1.3610) Prec@1 71.875 (68.330) Prec@5 89.844 (86.941) Epoch: [76][4400/10010] Time 0.318 (0.328) Data 0.001 (0.001) Loss 1.3662 (1.3611) Prec@1 66.406 (68.329) Prec@5 85.938 (86.941) Epoch: [76][4410/10010] Time 0.320 (0.328) Data 0.001 (0.001) Loss 1.4450 (1.3608) Prec@1 66.406 (68.333) Prec@5 88.281 (86.945) Epoch: [76][4420/10010] Time 0.330 (0.328) Data 0.001 (0.001) Loss 1.7728 (1.3608) Prec@1 62.500 (68.331) Prec@5 79.688 (86.946) Epoch: [76][4430/10010] Time 0.330 (0.328) Data 0.001 (0.001) Loss 1.5867 (1.3608) Prec@1 64.062 (68.333) Prec@5 82.031 (86.946) Epoch: [76][4440/10010] Time 0.332 (0.328) Data 0.001 (0.001) Loss 1.1794 (1.3609) Prec@1 75.000 (68.336) Prec@5 90.625 (86.944) Epoch: [76][4450/10010] Time 0.327 (0.328) Data 0.001 (0.001) Loss 1.3701 (1.3607) Prec@1 67.969 (68.343) Prec@5 85.156 (86.946) Epoch: [76][4460/10010] Time 0.314 (0.328) Data 0.001 (0.001) Loss 1.3846 (1.3607) Prec@1 69.531 (68.346) Prec@5 85.938 (86.944) Epoch: [76][4470/10010] Time 0.334 (0.328) Data 0.000 (0.001) Loss 1.3852 (1.3607) Prec@1 68.750 (68.349) Prec@5 83.594 (86.944) Epoch: [76][4480/10010] Time 0.313 (0.328) Data 0.001 (0.001) Loss 1.4461 (1.3607) Prec@1 67.188 (68.352) Prec@5 85.938 (86.941) Epoch: [76][4490/10010] Time 0.328 (0.328) Data 0.001 (0.001) Loss 1.1770 (1.3607) Prec@1 71.094 (68.351) Prec@5 86.719 (86.940) Epoch: [76][4500/10010] Time 0.335 (0.328) Data 0.001 (0.001) Loss 1.6107 (1.3608) Prec@1 69.531 (68.348) Prec@5 82.031 (86.939) Epoch: [76][4510/10010] Time 0.322 (0.328) Data 0.000 (0.001) Loss 1.2496 (1.3608) Prec@1 68.750 (68.347) Prec@5 86.719 (86.940) Epoch: [76][4520/10010] Time 0.327 (0.328) Data 0.000 (0.001) Loss 1.3707 (1.3610) Prec@1 68.750 (68.343) Prec@5 85.156 (86.937) Epoch: [76][4530/10010] Time 0.322 (0.328) Data 0.001 (0.001) Loss 1.1115 (1.3608) Prec@1 71.875 (68.351) Prec@5 91.406 (86.941) Epoch: [76][4540/10010] Time 0.322 (0.328) Data 0.001 (0.001) Loss 1.2168 (1.3607) Prec@1 72.656 (68.355) Prec@5 87.500 (86.945) Epoch: [76][4550/10010] Time 0.335 (0.328) Data 0.001 (0.001) Loss 1.6539 (1.3608) Prec@1 64.062 (68.354) Prec@5 82.031 (86.942) Epoch: [76][4560/10010] Time 0.336 (0.328) Data 0.000 (0.001) Loss 1.4005 (1.3607) Prec@1 69.531 (68.353) Prec@5 85.156 (86.942) Epoch: [76][4570/10010] Time 0.335 (0.328) Data 0.001 (0.001) Loss 1.8053 (1.3608) Prec@1 64.844 (68.352) Prec@5 80.469 (86.939) Epoch: [76][4580/10010] Time 0.331 (0.328) Data 0.002 (0.001) Loss 1.3201 (1.3607) Prec@1 73.438 (68.355) Prec@5 85.938 (86.939) Epoch: [76][4590/10010] Time 0.313 (0.328) Data 0.001 (0.001) Loss 1.2392 (1.3604) Prec@1 70.312 (68.362) Prec@5 89.844 (86.946) Epoch: [76][4600/10010] Time 0.330 (0.328) Data 0.001 (0.001) Loss 1.2695 (1.3605) Prec@1 67.969 (68.363) Prec@5 86.719 (86.943) Epoch: [76][4610/10010] Time 0.337 (0.328) Data 0.000 (0.001) Loss 1.2831 (1.3601) Prec@1 71.875 (68.371) Prec@5 88.281 (86.947) Epoch: [76][4620/10010] Time 0.324 (0.328) Data 0.000 (0.001) Loss 1.4023 (1.3601) Prec@1 71.094 (68.372) Prec@5 85.156 (86.945) Epoch: [76][4630/10010] Time 0.324 (0.328) Data 0.001 (0.001) Loss 1.5762 (1.3603) Prec@1 64.844 (68.368) Prec@5 82.812 (86.941) Epoch: [76][4640/10010] Time 0.330 (0.328) Data 0.001 (0.001) Loss 1.2571 (1.3601) Prec@1 70.312 (68.373) Prec@5 88.281 (86.944) Epoch: [76][4650/10010] Time 0.329 (0.328) Data 0.001 (0.001) Loss 1.4890 (1.3602) Prec@1 64.062 (68.371) Prec@5 85.938 (86.942) Epoch: [76][4660/10010] Time 0.325 (0.328) Data 0.001 (0.001) Loss 1.7217 (1.3602) Prec@1 58.594 (68.368) Prec@5 82.031 (86.943) Epoch: [76][4670/10010] Time 0.331 (0.328) Data 0.000 (0.001) Loss 1.3430 (1.3603) Prec@1 68.750 (68.365) Prec@5 90.625 (86.944) Epoch: [76][4680/10010] Time 0.337 (0.328) Data 0.001 (0.001) Loss 1.3027 (1.3602) Prec@1 71.875 (68.367) Prec@5 87.500 (86.946) Epoch: [76][4690/10010] Time 0.337 (0.328) Data 0.001 (0.001) Loss 1.3016 (1.3601) Prec@1 66.406 (68.369) Prec@5 83.594 (86.945) Epoch: [76][4700/10010] Time 0.323 (0.328) Data 0.001 (0.001) Loss 1.1373 (1.3601) Prec@1 73.438 (68.372) Prec@5 89.844 (86.944) Epoch: [76][4710/10010] Time 0.324 (0.328) Data 0.000 (0.001) Loss 1.1812 (1.3602) Prec@1 74.219 (68.371) Prec@5 88.281 (86.942) Epoch: [76][4720/10010] Time 0.319 (0.328) Data 0.001 (0.001) Loss 1.3597 (1.3603) Prec@1 70.312 (68.370) Prec@5 84.375 (86.941) Epoch: [76][4730/10010] Time 0.324 (0.328) Data 0.001 (0.001) Loss 1.3642 (1.3603) Prec@1 70.312 (68.372) Prec@5 89.844 (86.939) Epoch: [76][4740/10010] Time 0.340 (0.328) Data 0.001 (0.001) Loss 1.2583 (1.3604) Prec@1 69.531 (68.369) Prec@5 87.500 (86.938) Epoch: [76][4750/10010] Time 0.330 (0.328) Data 0.001 (0.001) Loss 1.2617 (1.3603) Prec@1 71.875 (68.371) Prec@5 90.625 (86.941) Epoch: [76][4760/10010] Time 0.315 (0.328) Data 0.000 (0.001) Loss 1.3226 (1.3603) Prec@1 67.969 (68.372) Prec@5 86.719 (86.940) Epoch: [76][4770/10010] Time 0.321 (0.328) Data 0.000 (0.001) Loss 1.6039 (1.3605) Prec@1 66.406 (68.367) Prec@5 85.938 (86.938) Epoch: [76][4780/10010] Time 0.316 (0.328) Data 0.001 (0.001) Loss 1.2907 (1.3605) Prec@1 66.406 (68.368) Prec@5 88.281 (86.938) Epoch: [76][4790/10010] Time 0.317 (0.328) Data 0.000 (0.001) Loss 1.1795 (1.3604) Prec@1 75.000 (68.372) Prec@5 91.406 (86.939) Epoch: [76][4800/10010] Time 0.326 (0.328) Data 0.000 (0.001) Loss 1.2477 (1.3604) Prec@1 71.875 (68.372) Prec@5 90.625 (86.937) Epoch: [76][4810/10010] Time 0.322 (0.328) Data 0.000 (0.001) Loss 1.3003 (1.3604) Prec@1 74.219 (68.369) Prec@5 86.719 (86.938) Epoch: [76][4820/10010] Time 0.319 (0.328) Data 0.001 (0.001) Loss 1.6356 (1.3605) Prec@1 58.594 (68.366) Prec@5 82.812 (86.938) Epoch: [76][4830/10010] Time 0.314 (0.328) Data 0.001 (0.001) Loss 1.2151 (1.3605) Prec@1 67.188 (68.364) Prec@5 92.969 (86.939) Epoch: [76][4840/10010] Time 0.325 (0.328) Data 0.000 (0.001) Loss 1.6150 (1.3605) Prec@1 65.625 (68.363) Prec@5 85.938 (86.938) Epoch: [76][4850/10010] Time 0.321 (0.328) Data 0.001 (0.001) Loss 1.3818 (1.3605) Prec@1 67.188 (68.364) Prec@5 83.594 (86.936) Epoch: [76][4860/10010] Time 0.327 (0.328) Data 0.000 (0.001) Loss 1.1421 (1.3602) Prec@1 75.000 (68.369) Prec@5 92.188 (86.942) Epoch: [76][4870/10010] Time 0.331 (0.328) Data 0.000 (0.001) Loss 1.2974 (1.3603) Prec@1 69.531 (68.368) Prec@5 89.062 (86.942) Epoch: [76][4880/10010] Time 0.335 (0.328) Data 0.000 (0.001) Loss 1.2995 (1.3601) Prec@1 65.625 (68.373) Prec@5 89.844 (86.944) Epoch: [76][4890/10010] Time 0.324 (0.328) Data 0.001 (0.001) Loss 1.4158 (1.3601) Prec@1 65.625 (68.375) Prec@5 86.719 (86.943) Epoch: [76][4900/10010] Time 0.320 (0.328) Data 0.000 (0.001) Loss 1.3723 (1.3601) Prec@1 68.750 (68.375) Prec@5 85.156 (86.943) Epoch: [76][4910/10010] Time 0.315 (0.328) Data 0.000 (0.001) Loss 1.5281 (1.3602) Prec@1 65.625 (68.371) Prec@5 85.938 (86.941) Epoch: [76][4920/10010] Time 0.324 (0.328) Data 0.000 (0.001) Loss 1.3910 (1.3602) Prec@1 66.406 (68.367) Prec@5 88.281 (86.941) Epoch: [76][4930/10010] Time 0.333 (0.328) Data 0.000 (0.001) Loss 1.4384 (1.3604) Prec@1 67.969 (68.362) Prec@5 82.031 (86.938) Epoch: [76][4940/10010] Time 0.329 (0.328) Data 0.000 (0.001) Loss 1.2250 (1.3604) Prec@1 73.438 (68.365) Prec@5 86.719 (86.939) Epoch: [76][4950/10010] Time 0.333 (0.328) Data 0.000 (0.001) Loss 1.1658 (1.3605) Prec@1 69.531 (68.364) Prec@5 89.844 (86.938) Epoch: [76][4960/10010] Time 0.331 (0.328) Data 0.001 (0.001) Loss 1.4332 (1.3607) Prec@1 67.969 (68.359) Prec@5 85.156 (86.936) Epoch: [76][4970/10010] Time 0.335 (0.328) Data 0.000 (0.001) Loss 1.4367 (1.3607) Prec@1 66.406 (68.356) Prec@5 86.719 (86.937) Epoch: [76][4980/10010] Time 0.323 (0.328) Data 0.000 (0.001) Loss 1.3717 (1.3609) Prec@1 66.406 (68.355) Prec@5 87.500 (86.933) Epoch: [76][4990/10010] Time 0.318 (0.328) Data 0.000 (0.001) Loss 1.6462 (1.3611) Prec@1 58.594 (68.348) Prec@5 81.250 (86.929) Epoch: [76][5000/10010] Time 0.332 (0.328) Data 0.001 (0.001) Loss 1.3095 (1.3612) Prec@1 64.062 (68.346) Prec@5 89.062 (86.926) Epoch: [76][5010/10010] Time 0.317 (0.328) Data 0.000 (0.001) Loss 1.2505 (1.3612) Prec@1 69.531 (68.347) Prec@5 92.188 (86.927) Epoch: [76][5020/10010] Time 0.331 (0.328) Data 0.001 (0.001) Loss 1.1818 (1.3611) Prec@1 71.875 (68.352) Prec@5 92.969 (86.929) Epoch: [76][5030/10010] Time 0.327 (0.328) Data 0.000 (0.001) Loss 1.2134 (1.3611) Prec@1 67.969 (68.354) Prec@5 90.625 (86.928) Epoch: [76][5040/10010] Time 0.340 (0.328) Data 0.000 (0.001) Loss 1.1461 (1.3610) Prec@1 78.125 (68.357) Prec@5 90.625 (86.928) Epoch: [76][5050/10010] Time 0.316 (0.328) Data 0.001 (0.001) Loss 1.2342 (1.3609) Prec@1 73.438 (68.359) Prec@5 89.062 (86.929) Epoch: [76][5060/10010] Time 0.341 (0.328) Data 0.001 (0.001) Loss 1.4777 (1.3609) Prec@1 65.625 (68.359) Prec@5 86.719 (86.929) Epoch: [76][5070/10010] Time 0.328 (0.328) Data 0.001 (0.001) Loss 1.5207 (1.3611) Prec@1 64.062 (68.359) Prec@5 86.719 (86.928) Epoch: [76][5080/10010] Time 0.341 (0.328) Data 0.001 (0.001) Loss 1.2274 (1.3609) Prec@1 74.219 (68.362) Prec@5 87.500 (86.930) Epoch: [76][5090/10010] Time 0.339 (0.328) Data 0.001 (0.001) Loss 1.1838 (1.3610) Prec@1 71.094 (68.359) Prec@5 88.281 (86.931) Epoch: [76][5100/10010] Time 0.340 (0.328) Data 0.001 (0.001) Loss 1.4733 (1.3610) Prec@1 64.062 (68.358) Prec@5 85.938 (86.932) Epoch: [76][5110/10010] Time 0.326 (0.328) Data 0.001 (0.001) Loss 1.5876 (1.3610) Prec@1 64.844 (68.357) Prec@5 84.375 (86.932) Epoch: [76][5120/10010] Time 0.325 (0.328) Data 0.000 (0.001) Loss 1.3807 (1.3609) Prec@1 61.719 (68.359) Prec@5 87.500 (86.934) Epoch: [76][5130/10010] Time 0.328 (0.328) Data 0.001 (0.001) Loss 1.2269 (1.3609) Prec@1 70.312 (68.356) Prec@5 88.281 (86.934) Epoch: [76][5140/10010] Time 0.317 (0.328) Data 0.001 (0.001) Loss 1.5778 (1.3610) Prec@1 66.406 (68.355) Prec@5 83.594 (86.933) Epoch: [76][5150/10010] Time 0.318 (0.328) Data 0.001 (0.001) Loss 1.5742 (1.3612) Prec@1 64.062 (68.352) Prec@5 85.156 (86.931) Epoch: [76][5160/10010] Time 0.324 (0.328) Data 0.001 (0.001) Loss 1.7174 (1.3612) Prec@1 64.062 (68.355) Prec@5 82.812 (86.930) Epoch: [76][5170/10010] Time 0.341 (0.328) Data 0.000 (0.001) Loss 1.6014 (1.3613) Prec@1 59.375 (68.351) Prec@5 83.594 (86.929) Epoch: [76][5180/10010] Time 0.336 (0.328) Data 0.001 (0.001) Loss 1.5731 (1.3614) Prec@1 63.281 (68.349) Prec@5 82.812 (86.927) Epoch: [76][5190/10010] Time 0.335 (0.328) Data 0.001 (0.001) Loss 1.4031 (1.3615) Prec@1 64.844 (68.343) Prec@5 86.719 (86.925) Epoch: [76][5200/10010] Time 0.309 (0.328) Data 0.000 (0.001) Loss 1.3708 (1.3615) Prec@1 64.062 (68.343) Prec@5 90.625 (86.927) Epoch: [76][5210/10010] Time 0.338 (0.328) Data 0.000 (0.001) Loss 1.5133 (1.3614) Prec@1 61.719 (68.345) Prec@5 85.938 (86.929) Epoch: [76][5220/10010] Time 0.334 (0.328) Data 0.001 (0.001) Loss 1.4108 (1.3613) Prec@1 73.438 (68.349) Prec@5 87.500 (86.930) Epoch: [76][5230/10010] Time 0.336 (0.328) Data 0.001 (0.001) Loss 1.4908 (1.3612) Prec@1 66.406 (68.351) Prec@5 87.500 (86.932) Epoch: [76][5240/10010] Time 0.324 (0.328) Data 0.000 (0.001) Loss 1.3262 (1.3612) Prec@1 67.188 (68.351) Prec@5 88.281 (86.933) Epoch: [76][5250/10010] Time 0.319 (0.328) Data 0.001 (0.001) Loss 1.2199 (1.3612) Prec@1 66.406 (68.351) Prec@5 91.406 (86.934) Epoch: [76][5260/10010] Time 0.317 (0.328) Data 0.001 (0.001) Loss 1.4688 (1.3612) Prec@1 65.625 (68.351) Prec@5 85.938 (86.936) Epoch: [76][5270/10010] Time 0.340 (0.328) Data 0.001 (0.001) Loss 1.2968 (1.3610) Prec@1 70.312 (68.353) Prec@5 90.625 (86.940) Epoch: [76][5280/10010] Time 0.336 (0.328) Data 0.000 (0.001) Loss 1.3326 (1.3609) Prec@1 71.875 (68.354) Prec@5 88.281 (86.941) Epoch: [76][5290/10010] Time 0.312 (0.328) Data 0.000 (0.001) Loss 1.3399 (1.3608) Prec@1 65.625 (68.359) Prec@5 87.500 (86.942) Epoch: [76][5300/10010] Time 0.339 (0.328) Data 0.001 (0.001) Loss 1.6196 (1.3608) Prec@1 69.531 (68.360) Prec@5 84.375 (86.939) Epoch: [76][5310/10010] Time 0.340 (0.328) Data 0.001 (0.001) Loss 1.0753 (1.3608) Prec@1 77.344 (68.359) Prec@5 89.062 (86.939) Epoch: [76][5320/10010] Time 0.321 (0.328) Data 0.000 (0.001) Loss 1.3563 (1.3609) Prec@1 70.312 (68.355) Prec@5 88.281 (86.940) Epoch: [76][5330/10010] Time 0.331 (0.328) Data 0.001 (0.001) Loss 1.3251 (1.3608) Prec@1 63.281 (68.357) Prec@5 86.719 (86.941) Epoch: [76][5340/10010] Time 0.339 (0.328) Data 0.001 (0.001) Loss 1.5463 (1.3607) Prec@1 65.625 (68.359) Prec@5 84.375 (86.942) Epoch: [76][5350/10010] Time 0.323 (0.328) Data 0.000 (0.001) Loss 1.2901 (1.3608) Prec@1 71.875 (68.359) Prec@5 86.719 (86.938) Epoch: [76][5360/10010] Time 0.336 (0.328) Data 0.001 (0.001) Loss 1.4824 (1.3609) Prec@1 64.844 (68.356) Prec@5 83.594 (86.936) Epoch: [76][5370/10010] Time 0.327 (0.328) Data 0.000 (0.001) Loss 1.4733 (1.3609) Prec@1 65.625 (68.357) Prec@5 87.500 (86.936) Epoch: [76][5380/10010] Time 0.319 (0.328) Data 0.000 (0.001) Loss 1.2630 (1.3609) Prec@1 72.656 (68.358) Prec@5 89.844 (86.937) Epoch: [76][5390/10010] Time 0.314 (0.328) Data 0.001 (0.001) Loss 1.1707 (1.3610) Prec@1 72.656 (68.357) Prec@5 85.938 (86.934) Epoch: [76][5400/10010] Time 0.338 (0.328) Data 0.000 (0.001) Loss 1.2752 (1.3609) Prec@1 67.188 (68.359) Prec@5 87.500 (86.935) Epoch: [76][5410/10010] Time 0.319 (0.328) Data 0.000 (0.001) Loss 1.2115 (1.3608) Prec@1 68.750 (68.362) Prec@5 85.156 (86.935) Epoch: [76][5420/10010] Time 0.320 (0.328) Data 0.001 (0.001) Loss 1.3157 (1.3607) Prec@1 68.750 (68.364) Prec@5 85.938 (86.935) Epoch: [76][5430/10010] Time 0.332 (0.328) Data 0.001 (0.001) Loss 1.1689 (1.3608) Prec@1 72.656 (68.363) Prec@5 88.281 (86.934) Epoch: [76][5440/10010] Time 0.338 (0.328) Data 0.000 (0.001) Loss 1.4447 (1.3609) Prec@1 68.750 (68.361) Prec@5 84.375 (86.932) Epoch: [76][5450/10010] Time 0.321 (0.328) Data 0.001 (0.001) Loss 1.3649 (1.3610) Prec@1 67.188 (68.359) Prec@5 84.375 (86.930) Epoch: [76][5460/10010] Time 0.336 (0.328) Data 0.001 (0.001) Loss 1.1811 (1.3609) Prec@1 69.531 (68.359) Prec@5 86.719 (86.932) Epoch: [76][5470/10010] Time 0.315 (0.328) Data 0.001 (0.001) Loss 1.2586 (1.3608) Prec@1 71.875 (68.360) Prec@5 91.406 (86.932) Epoch: [76][5480/10010] Time 0.325 (0.328) Data 0.001 (0.001) Loss 1.3314 (1.3609) Prec@1 70.312 (68.360) Prec@5 86.719 (86.931) Epoch: [76][5490/10010] Time 0.333 (0.328) Data 0.001 (0.001) Loss 1.6629 (1.3609) Prec@1 64.062 (68.360) Prec@5 79.688 (86.929) Epoch: [76][5500/10010] Time 0.315 (0.328) Data 0.001 (0.001) Loss 1.3423 (1.3609) Prec@1 67.188 (68.360) Prec@5 85.156 (86.927) Epoch: [76][5510/10010] Time 0.336 (0.328) Data 0.000 (0.001) Loss 1.3449 (1.3609) Prec@1 65.625 (68.362) Prec@5 87.500 (86.929) Epoch: [76][5520/10010] Time 0.329 (0.328) Data 0.000 (0.001) Loss 1.7111 (1.3611) Prec@1 63.281 (68.359) Prec@5 81.250 (86.924) Epoch: [76][5530/10010] Time 0.328 (0.328) Data 0.000 (0.001) Loss 1.3701 (1.3609) Prec@1 69.531 (68.364) Prec@5 85.938 (86.926) Epoch: [76][5540/10010] Time 0.321 (0.328) Data 0.001 (0.001) Loss 1.4115 (1.3609) Prec@1 70.312 (68.363) Prec@5 86.719 (86.925) Epoch: [76][5550/10010] Time 0.318 (0.328) Data 0.001 (0.001) Loss 1.7501 (1.3611) Prec@1 62.500 (68.358) Prec@5 81.250 (86.921) Epoch: [76][5560/10010] Time 0.322 (0.328) Data 0.001 (0.001) Loss 1.4476 (1.3610) Prec@1 67.188 (68.358) Prec@5 85.938 (86.923) Epoch: [76][5570/10010] Time 0.338 (0.328) Data 0.001 (0.001) Loss 1.5890 (1.3610) Prec@1 61.719 (68.357) Prec@5 83.594 (86.922) Epoch: [76][5580/10010] Time 0.312 (0.328) Data 0.000 (0.001) Loss 1.4485 (1.3612) Prec@1 66.406 (68.352) Prec@5 82.031 (86.919) Epoch: [76][5590/10010] Time 0.322 (0.328) Data 0.001 (0.001) Loss 1.2582 (1.3612) Prec@1 71.875 (68.351) Prec@5 86.719 (86.919) Epoch: [76][5600/10010] Time 0.337 (0.328) Data 0.001 (0.001) Loss 1.3428 (1.3613) Prec@1 70.312 (68.350) Prec@5 84.375 (86.919) Epoch: [76][5610/10010] Time 0.310 (0.328) Data 0.001 (0.001) Loss 1.3093 (1.3613) Prec@1 71.875 (68.347) Prec@5 89.062 (86.919) Epoch: [76][5620/10010] Time 0.337 (0.328) Data 0.001 (0.001) Loss 1.4308 (1.3615) Prec@1 62.500 (68.343) Prec@5 86.719 (86.916) Epoch: [76][5630/10010] Time 0.320 (0.328) Data 0.001 (0.001) Loss 1.2602 (1.3615) Prec@1 67.188 (68.344) Prec@5 89.062 (86.916) Epoch: [76][5640/10010] Time 0.318 (0.328) Data 0.001 (0.001) Loss 1.4567 (1.3614) Prec@1 65.625 (68.346) Prec@5 86.719 (86.918) Epoch: [76][5650/10010] Time 0.332 (0.328) Data 0.000 (0.001) Loss 1.5057 (1.3615) Prec@1 67.969 (68.344) Prec@5 85.156 (86.917) Epoch: [76][5660/10010] Time 0.336 (0.328) Data 0.001 (0.001) Loss 1.2620 (1.3616) Prec@1 70.312 (68.344) Prec@5 89.062 (86.917) Epoch: [76][5670/10010] Time 0.317 (0.328) Data 0.001 (0.001) Loss 1.2725 (1.3615) Prec@1 65.625 (68.345) Prec@5 85.938 (86.918) Epoch: [76][5680/10010] Time 0.334 (0.328) Data 0.000 (0.001) Loss 1.3831 (1.3615) Prec@1 64.844 (68.344) Prec@5 86.719 (86.918) Epoch: [76][5690/10010] Time 0.339 (0.328) Data 0.001 (0.001) Loss 1.3560 (1.3614) Prec@1 67.969 (68.345) Prec@5 87.500 (86.919) Epoch: [76][5700/10010] Time 0.318 (0.328) Data 0.001 (0.001) Loss 1.3987 (1.3615) Prec@1 64.062 (68.345) Prec@5 84.375 (86.919) Epoch: [76][5710/10010] Time 0.329 (0.328) Data 0.001 (0.001) Loss 1.5094 (1.3615) Prec@1 64.844 (68.342) Prec@5 84.375 (86.919) Epoch: [76][5720/10010] Time 0.322 (0.328) Data 0.001 (0.001) Loss 1.2750 (1.3614) Prec@1 67.188 (68.343) Prec@5 87.500 (86.921) Epoch: [76][5730/10010] Time 0.321 (0.328) Data 0.001 (0.001) Loss 1.6860 (1.3615) Prec@1 63.281 (68.341) Prec@5 79.688 (86.921) Epoch: [76][5740/10010] Time 0.329 (0.328) Data 0.001 (0.001) Loss 1.4103 (1.3617) Prec@1 68.750 (68.338) Prec@5 85.938 (86.919) Epoch: [76][5750/10010] Time 0.316 (0.328) Data 0.000 (0.001) Loss 1.2822 (1.3616) Prec@1 73.438 (68.336) Prec@5 87.500 (86.920) Epoch: [76][5760/10010] Time 0.325 (0.328) Data 0.000 (0.001) Loss 1.0334 (1.3616) Prec@1 75.781 (68.337) Prec@5 92.969 (86.921) Epoch: [76][5770/10010] Time 0.326 (0.328) Data 0.001 (0.001) Loss 1.4467 (1.3617) Prec@1 67.188 (68.336) Prec@5 83.594 (86.922) Epoch: [76][5780/10010] Time 0.322 (0.328) Data 0.001 (0.001) Loss 1.2438 (1.3617) Prec@1 68.750 (68.332) Prec@5 91.406 (86.919) Epoch: [76][5790/10010] Time 0.334 (0.328) Data 0.009 (0.001) Loss 1.5675 (1.3620) Prec@1 68.750 (68.326) Prec@5 82.031 (86.917) Epoch: [76][5800/10010] Time 0.339 (0.328) Data 0.000 (0.001) Loss 1.4729 (1.3621) Prec@1 67.969 (68.325) Prec@5 85.156 (86.914) Epoch: [76][5810/10010] Time 0.332 (0.328) Data 0.001 (0.001) Loss 1.3703 (1.3622) Prec@1 71.875 (68.325) Prec@5 85.156 (86.912) Epoch: [76][5820/10010] Time 0.319 (0.328) Data 0.001 (0.001) Loss 1.1447 (1.3622) Prec@1 70.312 (68.324) Prec@5 90.625 (86.911) Epoch: [76][5830/10010] Time 0.335 (0.328) Data 0.001 (0.001) Loss 1.3639 (1.3622) Prec@1 72.656 (68.327) Prec@5 86.719 (86.912) Epoch: [76][5840/10010] Time 0.320 (0.328) Data 0.001 (0.001) Loss 1.6161 (1.3621) Prec@1 63.281 (68.329) Prec@5 82.812 (86.914) Epoch: [76][5850/10010] Time 0.334 (0.328) Data 0.001 (0.001) Loss 1.5518 (1.3621) Prec@1 67.188 (68.327) Prec@5 83.594 (86.914) Epoch: [76][5860/10010] Time 0.337 (0.328) Data 0.001 (0.001) Loss 1.1406 (1.3622) Prec@1 71.875 (68.325) Prec@5 89.844 (86.914) Epoch: [76][5870/10010] Time 0.336 (0.328) Data 0.000 (0.001) Loss 1.3289 (1.3624) Prec@1 67.969 (68.323) Prec@5 90.625 (86.910) Epoch: [76][5880/10010] Time 0.330 (0.328) Data 0.001 (0.001) Loss 1.4640 (1.3624) Prec@1 65.625 (68.322) Prec@5 87.500 (86.910) Epoch: [76][5890/10010] Time 0.324 (0.328) Data 0.000 (0.001) Loss 1.2576 (1.3624) Prec@1 70.312 (68.322) Prec@5 87.500 (86.911) Epoch: [76][5900/10010] Time 0.336 (0.328) Data 0.001 (0.001) Loss 1.5590 (1.3625) Prec@1 69.531 (68.319) Prec@5 82.031 (86.909) Epoch: [76][5910/10010] Time 0.318 (0.328) Data 0.000 (0.001) Loss 1.3183 (1.3625) Prec@1 71.875 (68.322) Prec@5 85.938 (86.910) Epoch: [76][5920/10010] Time 0.337 (0.328) Data 0.001 (0.001) Loss 1.4277 (1.3625) Prec@1 68.750 (68.324) Prec@5 84.375 (86.910) Epoch: [76][5930/10010] Time 0.320 (0.328) Data 0.001 (0.001) Loss 1.4531 (1.3624) Prec@1 67.969 (68.324) Prec@5 86.719 (86.911) Epoch: [76][5940/10010] Time 0.316 (0.328) Data 0.001 (0.001) Loss 1.1658 (1.3623) Prec@1 72.656 (68.325) Prec@5 90.625 (86.912) Epoch: [76][5950/10010] Time 0.314 (0.328) Data 0.001 (0.001) Loss 1.2020 (1.3623) Prec@1 70.312 (68.323) Prec@5 89.062 (86.912) Epoch: [76][5960/10010] Time 0.320 (0.328) Data 0.000 (0.001) Loss 1.1699 (1.3623) Prec@1 78.125 (68.329) Prec@5 91.406 (86.913) Epoch: [76][5970/10010] Time 0.317 (0.328) Data 0.001 (0.001) Loss 1.4880 (1.3624) Prec@1 63.281 (68.325) Prec@5 85.938 (86.908) Epoch: [76][5980/10010] Time 0.325 (0.328) Data 0.001 (0.001) Loss 1.2075 (1.3624) Prec@1 71.094 (68.326) Prec@5 88.281 (86.908) Epoch: [76][5990/10010] Time 0.312 (0.328) Data 0.001 (0.001) Loss 1.4988 (1.3624) Prec@1 64.844 (68.327) Prec@5 84.375 (86.907) Epoch: [76][6000/10010] Time 0.332 (0.328) Data 0.001 (0.001) Loss 1.3488 (1.3624) Prec@1 67.969 (68.326) Prec@5 86.719 (86.907) Epoch: [76][6010/10010] Time 0.339 (0.328) Data 0.000 (0.001) Loss 1.3059 (1.3624) Prec@1 67.188 (68.327) Prec@5 89.062 (86.908) Epoch: [76][6020/10010] Time 0.334 (0.328) Data 0.001 (0.001) Loss 1.1604 (1.3624) Prec@1 68.750 (68.324) Prec@5 89.844 (86.908) Epoch: [76][6030/10010] Time 0.334 (0.328) Data 0.000 (0.001) Loss 1.0959 (1.3624) Prec@1 75.781 (68.323) Prec@5 93.750 (86.910) Epoch: [76][6040/10010] Time 0.335 (0.328) Data 0.001 (0.001) Loss 1.3512 (1.3624) Prec@1 68.750 (68.322) Prec@5 87.500 (86.912) Epoch: [76][6050/10010] Time 0.336 (0.328) Data 0.000 (0.001) Loss 1.2760 (1.3623) Prec@1 69.531 (68.325) Prec@5 89.062 (86.913) Epoch: [76][6060/10010] Time 0.324 (0.328) Data 0.001 (0.001) Loss 1.7994 (1.3625) Prec@1 62.500 (68.320) Prec@5 79.688 (86.908) Epoch: [76][6070/10010] Time 0.337 (0.328) Data 0.000 (0.001) Loss 1.2700 (1.3624) Prec@1 71.094 (68.323) Prec@5 88.281 (86.910) Epoch: [76][6080/10010] Time 0.336 (0.328) Data 0.000 (0.001) Loss 1.4200 (1.3623) Prec@1 69.531 (68.328) Prec@5 85.156 (86.911) Epoch: [76][6090/10010] Time 0.337 (0.328) Data 0.000 (0.001) Loss 1.0278 (1.3622) Prec@1 75.000 (68.328) Prec@5 92.188 (86.912) Epoch: [76][6100/10010] Time 0.331 (0.328) Data 0.000 (0.001) Loss 1.3035 (1.3621) Prec@1 74.219 (68.331) Prec@5 85.938 (86.913) Epoch: [76][6110/10010] Time 0.338 (0.328) Data 0.001 (0.001) Loss 1.3829 (1.3619) Prec@1 67.969 (68.335) Prec@5 89.062 (86.915) Epoch: [76][6120/10010] Time 0.342 (0.328) Data 0.000 (0.001) Loss 1.3690 (1.3620) Prec@1 71.875 (68.333) Prec@5 87.500 (86.914) Epoch: [76][6130/10010] Time 0.323 (0.328) Data 0.001 (0.001) Loss 1.3856 (1.3621) Prec@1 65.625 (68.332) Prec@5 85.938 (86.912) Epoch: [76][6140/10010] Time 0.328 (0.328) Data 0.001 (0.001) Loss 1.3548 (1.3619) Prec@1 66.406 (68.335) Prec@5 87.500 (86.915) Epoch: [76][6150/10010] Time 0.332 (0.328) Data 0.001 (0.001) Loss 1.3816 (1.3620) Prec@1 66.406 (68.332) Prec@5 85.938 (86.913) Epoch: [76][6160/10010] Time 0.332 (0.328) Data 0.001 (0.001) Loss 1.2436 (1.3619) Prec@1 75.000 (68.335) Prec@5 88.281 (86.913) Epoch: [76][6170/10010] Time 0.320 (0.328) Data 0.001 (0.001) Loss 1.5438 (1.3620) Prec@1 67.188 (68.332) Prec@5 82.031 (86.912) Epoch: [76][6180/10010] Time 0.314 (0.328) Data 0.000 (0.001) Loss 1.2621 (1.3620) Prec@1 72.656 (68.333) Prec@5 89.844 (86.911) Epoch: [76][6190/10010] Time 0.332 (0.328) Data 0.000 (0.001) Loss 1.2517 (1.3622) Prec@1 68.750 (68.331) Prec@5 85.938 (86.909) Epoch: [76][6200/10010] Time 0.329 (0.328) Data 0.001 (0.001) Loss 1.5071 (1.3622) Prec@1 70.312 (68.331) Prec@5 85.938 (86.910) Epoch: [76][6210/10010] Time 0.336 (0.328) Data 0.001 (0.001) Loss 1.4869 (1.3621) Prec@1 67.188 (68.333) Prec@5 83.594 (86.911) Epoch: [76][6220/10010] Time 0.344 (0.328) Data 0.000 (0.001) Loss 1.4182 (1.3621) Prec@1 67.969 (68.333) Prec@5 82.812 (86.911) Epoch: [76][6230/10010] Time 0.338 (0.328) Data 0.001 (0.001) Loss 1.3486 (1.3622) Prec@1 71.094 (68.332) Prec@5 90.625 (86.911) Epoch: [76][6240/10010] Time 0.322 (0.328) Data 0.001 (0.001) Loss 1.4740 (1.3622) Prec@1 66.406 (68.333) Prec@5 84.375 (86.910) Epoch: [76][6250/10010] Time 0.338 (0.328) Data 0.000 (0.001) Loss 1.7266 (1.3624) Prec@1 60.156 (68.333) Prec@5 83.594 (86.908) Epoch: [76][6260/10010] Time 0.334 (0.328) Data 0.001 (0.001) Loss 1.4013 (1.3625) Prec@1 62.500 (68.332) Prec@5 87.500 (86.908) Epoch: [76][6270/10010] Time 0.333 (0.328) Data 0.001 (0.001) Loss 1.4035 (1.3624) Prec@1 70.312 (68.332) Prec@5 90.625 (86.908) Epoch: [76][6280/10010] Time 0.320 (0.328) Data 0.001 (0.001) Loss 1.3546 (1.3625) Prec@1 67.188 (68.327) Prec@5 88.281 (86.909) Epoch: [76][6290/10010] Time 0.337 (0.328) Data 0.001 (0.001) Loss 1.4511 (1.3627) Prec@1 65.625 (68.323) Prec@5 82.031 (86.905) Epoch: [76][6300/10010] Time 0.344 (0.328) Data 0.000 (0.001) Loss 1.6563 (1.3627) Prec@1 66.406 (68.322) Prec@5 81.250 (86.905) Epoch: [76][6310/10010] Time 0.321 (0.328) Data 0.000 (0.001) Loss 1.4916 (1.3628) Prec@1 66.406 (68.320) Prec@5 85.156 (86.904) Epoch: [76][6320/10010] Time 0.332 (0.328) Data 0.000 (0.001) Loss 1.4009 (1.3627) Prec@1 68.750 (68.321) Prec@5 86.719 (86.906) Epoch: [76][6330/10010] Time 0.338 (0.328) Data 0.000 (0.001) Loss 1.4170 (1.3628) Prec@1 65.625 (68.320) Prec@5 85.156 (86.904) Epoch: [76][6340/10010] Time 0.324 (0.328) Data 0.001 (0.001) Loss 1.3518 (1.3628) Prec@1 64.844 (68.321) Prec@5 86.719 (86.906) Epoch: [76][6350/10010] Time 0.335 (0.328) Data 0.000 (0.001) Loss 1.6929 (1.3628) Prec@1 64.844 (68.320) Prec@5 83.594 (86.906) Epoch: [76][6360/10010] Time 0.332 (0.328) Data 0.001 (0.001) Loss 1.3178 (1.3629) Prec@1 69.531 (68.322) Prec@5 89.062 (86.904) Epoch: [76][6370/10010] Time 0.308 (0.328) Data 0.001 (0.001) Loss 1.2590 (1.3629) Prec@1 67.188 (68.322) Prec@5 90.625 (86.907) Epoch: [76][6380/10010] Time 0.321 (0.328) Data 0.001 (0.001) Loss 1.6290 (1.3630) Prec@1 61.719 (68.319) Prec@5 82.031 (86.904) Epoch: [76][6390/10010] Time 0.323 (0.328) Data 0.001 (0.001) Loss 1.8260 (1.3632) Prec@1 64.844 (68.316) Prec@5 82.031 (86.901) Epoch: [76][6400/10010] Time 0.317 (0.328) Data 0.000 (0.001) Loss 1.0673 (1.3633) Prec@1 72.656 (68.314) Prec@5 91.406 (86.902) Epoch: [76][6410/10010] Time 0.326 (0.328) Data 0.001 (0.001) Loss 1.4614 (1.3635) Prec@1 67.969 (68.311) Prec@5 84.375 (86.899) Epoch: [76][6420/10010] Time 0.319 (0.328) Data 0.001 (0.001) Loss 1.5216 (1.3635) Prec@1 67.969 (68.310) Prec@5 82.031 (86.899) Epoch: [76][6430/10010] Time 0.321 (0.328) Data 0.001 (0.001) Loss 1.2337 (1.3635) Prec@1 71.875 (68.314) Prec@5 90.625 (86.899) Epoch: [76][6440/10010] Time 0.320 (0.328) Data 0.000 (0.001) Loss 1.3106 (1.3635) Prec@1 65.625 (68.313) Prec@5 85.938 (86.899) Epoch: [76][6450/10010] Time 0.309 (0.328) Data 0.001 (0.001) Loss 1.3537 (1.3635) Prec@1 71.094 (68.314) Prec@5 89.062 (86.898) Epoch: [76][6460/10010] Time 0.315 (0.328) Data 0.001 (0.001) Loss 1.2414 (1.3635) Prec@1 72.656 (68.314) Prec@5 90.625 (86.899) Epoch: [76][6470/10010] Time 0.330 (0.328) Data 0.001 (0.001) Loss 1.6583 (1.3636) Prec@1 60.156 (68.313) Prec@5 82.031 (86.897) Epoch: [76][6480/10010] Time 0.322 (0.328) Data 0.001 (0.001) Loss 1.4861 (1.3636) Prec@1 67.969 (68.313) Prec@5 83.594 (86.896) Epoch: [76][6490/10010] Time 0.315 (0.328) Data 0.001 (0.001) Loss 1.5217 (1.3637) Prec@1 70.312 (68.312) Prec@5 85.156 (86.894) Epoch: [76][6500/10010] Time 0.341 (0.328) Data 0.001 (0.001) Loss 1.2499 (1.3636) Prec@1 67.969 (68.312) Prec@5 93.750 (86.895) Epoch: [76][6510/10010] Time 0.325 (0.328) Data 0.001 (0.001) Loss 1.6200 (1.3637) Prec@1 65.625 (68.312) Prec@5 82.031 (86.893) Epoch: [76][6520/10010] Time 0.314 (0.328) Data 0.001 (0.001) Loss 1.1964 (1.3637) Prec@1 70.312 (68.313) Prec@5 89.062 (86.893) Epoch: [76][6530/10010] Time 0.330 (0.328) Data 0.001 (0.001) Loss 1.3792 (1.3636) Prec@1 67.969 (68.316) Prec@5 86.719 (86.894) Epoch: [76][6540/10010] Time 0.328 (0.328) Data 0.001 (0.001) Loss 1.1561 (1.3635) Prec@1 71.875 (68.320) Prec@5 88.281 (86.894) Epoch: [76][6550/10010] Time 0.332 (0.328) Data 0.001 (0.001) Loss 1.5088 (1.3635) Prec@1 64.062 (68.319) Prec@5 82.812 (86.894) Epoch: [76][6560/10010] Time 0.336 (0.328) Data 0.001 (0.001) Loss 1.0927 (1.3636) Prec@1 75.000 (68.319) Prec@5 90.625 (86.892) Epoch: [76][6570/10010] Time 0.315 (0.328) Data 0.001 (0.001) Loss 1.2431 (1.3636) Prec@1 70.312 (68.318) Prec@5 89.062 (86.892) Epoch: [76][6580/10010] Time 0.318 (0.328) Data 0.001 (0.001) Loss 1.1106 (1.3636) Prec@1 72.656 (68.320) Prec@5 89.844 (86.892) Epoch: [76][6590/10010] Time 0.327 (0.328) Data 0.001 (0.001) Loss 1.3975 (1.3634) Prec@1 68.750 (68.321) Prec@5 85.938 (86.894) Epoch: [76][6600/10010] Time 0.326 (0.328) Data 0.001 (0.001) Loss 1.5007 (1.3636) Prec@1 61.719 (68.316) Prec@5 84.375 (86.891) Epoch: [76][6610/10010] Time 0.338 (0.328) Data 0.001 (0.001) Loss 1.4770 (1.3636) Prec@1 67.188 (68.319) Prec@5 84.375 (86.891) Epoch: [76][6620/10010] Time 0.325 (0.328) Data 0.001 (0.001) Loss 1.3394 (1.3636) Prec@1 72.656 (68.321) Prec@5 82.812 (86.892) /data/vision/torralba/deepscene/lib/anaconda2/lib/python2.7/site-packages/PIL/TiffImagePlugin.py:692: UserWarning: Possibly corrupt EXIF data. Expecting to read 2555904 bytes but only got 0. Skipping tag 0 "Skipping tag %s" % (size, len(data), tag)) Epoch: [76][6630/10010] Time 0.341 (0.328) Data 0.001 (0.001) Loss 1.3448 (1.3636) Prec@1 62.500 (68.319) Prec@5 87.500 (86.892) Epoch: [76][6640/10010] Time 0.331 (0.328) Data 0.001 (0.001) Loss 1.4981 (1.3637) Prec@1 61.719 (68.314) Prec@5 85.156 (86.891) Epoch: [76][6650/10010] Time 0.327 (0.328) Data 0.001 (0.001) Loss 1.5033 (1.3637) Prec@1 65.625 (68.316) Prec@5 87.500 (86.891) Epoch: [76][6660/10010] Time 0.321 (0.328) Data 0.001 (0.001) Loss 1.6950 (1.3636) Prec@1 65.625 (68.318) Prec@5 79.688 (86.893) Epoch: [76][6670/10010] Time 0.324 (0.328) Data 0.001 (0.001) Loss 1.4115 (1.3635) Prec@1 68.750 (68.319) Prec@5 85.156 (86.893) Epoch: [76][6680/10010] Time 0.331 (0.328) Data 0.001 (0.001) Loss 1.2075 (1.3636) Prec@1 70.312 (68.318) Prec@5 90.625 (86.894) Epoch: [76][6690/10010] Time 0.317 (0.328) Data 0.001 (0.001) Loss 1.2081 (1.3634) Prec@1 71.875 (68.322) Prec@5 88.281 (86.896) Epoch: [76][6700/10010] Time 0.317 (0.328) Data 0.001 (0.001) Loss 1.4972 (1.3635) Prec@1 64.844 (68.321) Prec@5 86.719 (86.894) Epoch: [76][6710/10010] Time 0.326 (0.328) Data 0.001 (0.001) Loss 1.5255 (1.3636) Prec@1 61.719 (68.319) Prec@5 83.594 (86.894) Epoch: [76][6720/10010] Time 0.324 (0.328) Data 0.000 (0.001) Loss 1.6569 (1.3636) Prec@1 65.625 (68.318) Prec@5 79.688 (86.894) Epoch: [76][6730/10010] Time 0.331 (0.328) Data 0.001 (0.001) Loss 1.4753 (1.3636) Prec@1 63.281 (68.317) Prec@5 85.156 (86.893) Epoch: [76][6740/10010] Time 0.337 (0.328) Data 0.001 (0.001) Loss 1.4331 (1.3636) Prec@1 64.844 (68.317) Prec@5 84.375 (86.894) Epoch: [76][6750/10010] Time 0.339 (0.328) Data 0.000 (0.001) Loss 1.5683 (1.3635) Prec@1 64.844 (68.317) Prec@5 85.156 (86.896) Epoch: [76][6760/10010] Time 0.319 (0.328) Data 0.001 (0.001) Loss 1.4956 (1.3635) Prec@1 64.062 (68.318) Prec@5 85.156 (86.895) Epoch: [76][6770/10010] Time 0.336 (0.328) Data 0.001 (0.001) Loss 1.1966 (1.3634) Prec@1 75.000 (68.319) Prec@5 88.281 (86.897) Epoch: [76][6780/10010] Time 0.315 (0.328) Data 0.001 (0.001) Loss 1.6066 (1.3634) Prec@1 65.625 (68.323) Prec@5 85.156 (86.896) Epoch: [76][6790/10010] Time 0.330 (0.328) Data 0.001 (0.001) Loss 1.1915 (1.3634) Prec@1 71.875 (68.321) Prec@5 88.281 (86.896) Epoch: [76][6800/10010] Time 0.313 (0.328) Data 0.001 (0.001) Loss 1.6288 (1.3635) Prec@1 60.156 (68.318) Prec@5 83.594 (86.893) Epoch: [76][6810/10010] Time 0.338 (0.328) Data 0.001 (0.001) Loss 1.4585 (1.3636) Prec@1 68.750 (68.316) Prec@5 83.594 (86.892) Epoch: [76][6820/10010] Time 0.319 (0.328) Data 0.001 (0.001) Loss 1.3893 (1.3636) Prec@1 70.312 (68.317) Prec@5 88.281 (86.893) Epoch: [76][6830/10010] Time 0.325 (0.328) Data 0.001 (0.001) Loss 1.2953 (1.3635) Prec@1 71.094 (68.316) Prec@5 87.500 (86.893) Epoch: [76][6840/10010] Time 0.324 (0.328) Data 0.000 (0.001) Loss 1.5854 (1.3636) Prec@1 63.281 (68.314) Prec@5 82.031 (86.892) Epoch: [76][6850/10010] Time 0.332 (0.328) Data 0.000 (0.001) Loss 1.1320 (1.3635) Prec@1 73.438 (68.316) Prec@5 87.500 (86.893) Epoch: [76][6860/10010] Time 0.332 (0.328) Data 0.001 (0.001) Loss 1.3598 (1.3634) Prec@1 63.281 (68.317) Prec@5 88.281 (86.894) Epoch: [76][6870/10010] Time 0.316 (0.328) Data 0.001 (0.001) Loss 1.1678 (1.3633) Prec@1 71.094 (68.318) Prec@5 86.719 (86.897) Epoch: [76][6880/10010] Time 0.340 (0.328) Data 0.001 (0.001) Loss 1.5731 (1.3634) Prec@1 65.625 (68.316) Prec@5 84.375 (86.896) Epoch: [76][6890/10010] Time 0.326 (0.328) Data 0.001 (0.001) Loss 1.3201 (1.3634) Prec@1 71.875 (68.318) Prec@5 85.156 (86.897) Epoch: [76][6900/10010] Time 0.331 (0.328) Data 0.000 (0.001) Loss 1.2664 (1.3634) Prec@1 70.312 (68.317) Prec@5 86.719 (86.898) Epoch: [76][6910/10010] Time 0.323 (0.328) Data 0.000 (0.001) Loss 1.4828 (1.3634) Prec@1 68.750 (68.319) Prec@5 85.156 (86.897) Epoch: [76][6920/10010] Time 0.325 (0.328) Data 0.000 (0.001) Loss 1.0500 (1.3633) Prec@1 71.875 (68.319) Prec@5 89.844 (86.897) Epoch: [76][6930/10010] Time 0.319 (0.328) Data 0.000 (0.001) Loss 1.3144 (1.3632) Prec@1 67.969 (68.321) Prec@5 88.281 (86.898) Epoch: [76][6940/10010] Time 0.317 (0.328) Data 0.001 (0.001) Loss 1.5982 (1.3632) Prec@1 60.938 (68.319) Prec@5 81.250 (86.899) Epoch: [76][6950/10010] Time 0.321 (0.328) Data 0.001 (0.001) Loss 1.6005 (1.3633) Prec@1 63.281 (68.318) Prec@5 81.250 (86.897) Epoch: [76][6960/10010] Time 0.311 (0.328) Data 0.001 (0.001) Loss 1.7000 (1.3634) Prec@1 65.625 (68.317) Prec@5 81.250 (86.895) Epoch: [76][6970/10010] Time 0.338 (0.328) Data 0.001 (0.001) Loss 1.0991 (1.3634) Prec@1 74.219 (68.318) Prec@5 92.188 (86.895) Epoch: [76][6980/10010] Time 0.332 (0.328) Data 0.001 (0.001) Loss 1.3979 (1.3633) Prec@1 63.281 (68.320) Prec@5 86.719 (86.896) Epoch: [76][6990/10010] Time 0.338 (0.328) Data 0.001 (0.001) Loss 1.6109 (1.3634) Prec@1 62.500 (68.320) Prec@5 84.375 (86.895) Epoch: [76][7000/10010] Time 0.316 (0.328) Data 0.000 (0.001) Loss 1.5373 (1.3635) Prec@1 67.969 (68.317) Prec@5 82.812 (86.892) Epoch: [76][7010/10010] Time 0.337 (0.328) Data 0.001 (0.001) Loss 1.2648 (1.3635) Prec@1 67.969 (68.315) Prec@5 88.281 (86.892) /data/vision/torralba/deepscene/lib/anaconda2/lib/python2.7/site-packages/PIL/TiffImagePlugin.py:692: UserWarning: Possibly corrupt EXIF data. Expecting to read 1835008 bytes but only got 0. Skipping tag 0 "Skipping tag %s" % (size, len(data), tag)) Epoch: [76][7020/10010] Time 0.342 (0.328) Data 0.000 (0.001) Loss 1.5730 (1.3635) Prec@1 67.969 (68.317) Prec@5 82.812 (86.892) Epoch: [76][7030/10010] Time 0.317 (0.328) Data 0.001 (0.001) Loss 1.3684 (1.3636) Prec@1 70.312 (68.314) Prec@5 88.281 (86.888) Epoch: [76][7040/10010] Time 0.346 (0.328) Data 0.000 (0.001) Loss 1.4935 (1.3637) Prec@1 67.188 (68.313) Prec@5 87.500 (86.888) Epoch: [76][7050/10010] Time 0.316 (0.328) Data 0.000 (0.001) Loss 1.4800 (1.3638) Prec@1 66.406 (68.312) Prec@5 85.938 (86.887) Epoch: [76][7060/10010] Time 0.337 (0.328) Data 0.001 (0.001) Loss 1.3705 (1.3638) Prec@1 66.406 (68.311) Prec@5 89.062 (86.887) Epoch: [76][7070/10010] Time 0.333 (0.328) Data 0.001 (0.001) Loss 1.1481 (1.3639) Prec@1 72.656 (68.309) Prec@5 91.406 (86.884) Epoch: [76][7080/10010] Time 0.316 (0.328) Data 0.000 (0.001) Loss 1.4391 (1.3639) Prec@1 67.188 (68.306) Prec@5 85.938 (86.883) Epoch: [76][7090/10010] Time 0.329 (0.328) Data 0.001 (0.001) Loss 1.6936 (1.3640) Prec@1 65.625 (68.307) Prec@5 83.594 (86.882) Epoch: [76][7100/10010] Time 0.339 (0.328) Data 0.000 (0.001) Loss 1.6212 (1.3641) Prec@1 67.188 (68.306) Prec@5 83.594 (86.881) Epoch: [76][7110/10010] Time 0.311 (0.328) Data 0.001 (0.001) Loss 1.4761 (1.3641) Prec@1 66.406 (68.305) Prec@5 85.938 (86.881) Epoch: [76][7120/10010] Time 0.342 (0.328) Data 0.000 (0.001) Loss 1.7047 (1.3643) Prec@1 61.719 (68.302) Prec@5 78.906 (86.878) Epoch: [76][7130/10010] Time 0.331 (0.328) Data 0.000 (0.001) Loss 1.0345 (1.3642) Prec@1 73.438 (68.303) Prec@5 89.062 (86.878) Epoch: [76][7140/10010] Time 0.317 (0.328) Data 0.001 (0.001) Loss 1.4225 (1.3642) Prec@1 67.969 (68.305) Prec@5 85.938 (86.879) Epoch: [76][7150/10010] Time 0.312 (0.328) Data 0.001 (0.001) Loss 1.5063 (1.3643) Prec@1 68.750 (68.303) Prec@5 87.500 (86.877) Epoch: [76][7160/10010] Time 0.340 (0.328) Data 0.000 (0.001) Loss 1.5405 (1.3644) Prec@1 61.719 (68.301) Prec@5 84.375 (86.874) Epoch: [76][7170/10010] Time 0.316 (0.328) Data 0.003 (0.001) Loss 1.1365 (1.3644) Prec@1 67.969 (68.302) Prec@5 92.969 (86.875) Epoch: [76][7180/10010] Time 0.309 (0.328) Data 0.001 (0.001) Loss 1.3633 (1.3644) Prec@1 69.531 (68.300) Prec@5 85.156 (86.873) Epoch: [76][7190/10010] Time 0.333 (0.328) Data 0.001 (0.001) Loss 1.4216 (1.3645) Prec@1 60.938 (68.298) Prec@5 86.719 (86.872) Epoch: [76][7200/10010] Time 0.322 (0.328) Data 0.000 (0.001) Loss 1.4838 (1.3644) Prec@1 64.062 (68.299) Prec@5 84.375 (86.872) Epoch: [76][7210/10010] Time 0.321 (0.328) Data 0.001 (0.001) Loss 1.3560 (1.3644) Prec@1 64.062 (68.298) Prec@5 87.500 (86.871) Epoch: [76][7220/10010] Time 0.319 (0.328) Data 0.001 (0.001) Loss 1.4295 (1.3644) Prec@1 68.750 (68.300) Prec@5 85.156 (86.872) Epoch: [76][7230/10010] Time 0.311 (0.328) Data 0.001 (0.001) Loss 1.1974 (1.3644) Prec@1 70.312 (68.300) Prec@5 89.062 (86.872) Epoch: [76][7240/10010] Time 0.325 (0.328) Data 0.001 (0.001) Loss 1.4498 (1.3643) Prec@1 65.625 (68.303) Prec@5 85.938 (86.873) Epoch: [76][7250/10010] Time 0.331 (0.328) Data 0.001 (0.001) Loss 1.5251 (1.3643) Prec@1 69.531 (68.304) Prec@5 82.812 (86.873) Epoch: [76][7260/10010] Time 0.334 (0.328) Data 0.000 (0.001) Loss 1.2505 (1.3643) Prec@1 73.438 (68.303) Prec@5 89.062 (86.872) Epoch: [76][7270/10010] Time 0.338 (0.328) Data 0.000 (0.001) Loss 1.3816 (1.3642) Prec@1 60.156 (68.304) Prec@5 85.938 (86.874) Epoch: [76][7280/10010] Time 0.317 (0.328) Data 0.001 (0.001) Loss 1.3353 (1.3642) Prec@1 69.531 (68.306) Prec@5 87.500 (86.873) Epoch: [76][7290/10010] Time 0.335 (0.328) Data 0.000 (0.001) Loss 1.4050 (1.3642) Prec@1 66.406 (68.307) Prec@5 85.938 (86.872) Epoch: [76][7300/10010] Time 0.334 (0.328) Data 0.001 (0.001) Loss 1.4804 (1.3641) Prec@1 70.312 (68.310) Prec@5 89.062 (86.873) Epoch: [76][7310/10010] Time 0.335 (0.328) Data 0.000 (0.001) Loss 1.5386 (1.3642) Prec@1 60.938 (68.309) Prec@5 85.156 (86.873) Epoch: [76][7320/10010] Time 0.326 (0.328) Data 0.001 (0.001) Loss 0.9799 (1.3643) Prec@1 77.344 (68.304) Prec@5 92.188 (86.871) Epoch: [76][7330/10010] Time 0.327 (0.328) Data 0.001 (0.001) Loss 1.2692 (1.3642) Prec@1 66.406 (68.306) Prec@5 88.281 (86.873) Epoch: [76][7340/10010] Time 0.338 (0.328) Data 0.000 (0.001) Loss 1.2950 (1.3641) Prec@1 68.750 (68.309) Prec@5 85.938 (86.873) Epoch: [76][7350/10010] Time 0.335 (0.328) Data 0.001 (0.001) Loss 1.3548 (1.3640) Prec@1 69.531 (68.312) Prec@5 86.719 (86.874) Epoch: [76][7360/10010] Time 0.340 (0.328) Data 0.000 (0.001) Loss 1.2428 (1.3639) Prec@1 72.656 (68.313) Prec@5 88.281 (86.876) Epoch: [76][7370/10010] Time 0.316 (0.328) Data 0.000 (0.001) Loss 1.4576 (1.3638) Prec@1 68.750 (68.314) Prec@5 84.375 (86.876) Epoch: [76][7380/10010] Time 0.335 (0.328) Data 0.001 (0.001) Loss 1.4667 (1.3638) Prec@1 64.062 (68.315) Prec@5 84.375 (86.877) Epoch: [76][7390/10010] Time 0.318 (0.328) Data 0.001 (0.001) Loss 1.4888 (1.3638) Prec@1 61.719 (68.314) Prec@5 89.844 (86.877) Epoch: [76][7400/10010] Time 0.332 (0.328) Data 0.000 (0.001) Loss 1.3477 (1.3638) Prec@1 65.625 (68.315) Prec@5 87.500 (86.878) Epoch: [76][7410/10010] Time 0.340 (0.328) Data 0.000 (0.001) Loss 1.6885 (1.3638) Prec@1 62.500 (68.314) Prec@5 80.469 (86.876) Epoch: [76][7420/10010] Time 0.339 (0.328) Data 0.001 (0.001) Loss 1.3065 (1.3638) Prec@1 71.094 (68.314) Prec@5 88.281 (86.877) Epoch: [76][7430/10010] Time 0.312 (0.328) Data 0.001 (0.001) Loss 1.9351 (1.3639) Prec@1 64.062 (68.312) Prec@5 77.344 (86.876) Epoch: [76][7440/10010] Time 0.335 (0.328) Data 0.000 (0.001) Loss 1.3151 (1.3639) Prec@1 66.406 (68.312) Prec@5 87.500 (86.877) Epoch: [76][7450/10010] Time 0.320 (0.328) Data 0.000 (0.001) Loss 1.2630 (1.3638) Prec@1 73.438 (68.316) Prec@5 89.062 (86.878) Epoch: [76][7460/10010] Time 0.326 (0.328) Data 0.001 (0.001) Loss 1.2507 (1.3637) Prec@1 71.094 (68.318) Prec@5 89.844 (86.880) Epoch: [76][7470/10010] Time 0.337 (0.328) Data 0.001 (0.001) Loss 1.2826 (1.3638) Prec@1 67.969 (68.315) Prec@5 85.156 (86.878) Epoch: [76][7480/10010] Time 0.325 (0.328) Data 0.000 (0.001) Loss 1.4446 (1.3639) Prec@1 63.281 (68.312) Prec@5 87.500 (86.878) Epoch: [76][7490/10010] Time 0.337 (0.328) Data 0.001 (0.001) Loss 1.3410 (1.3640) Prec@1 67.188 (68.309) Prec@5 88.281 (86.876) Epoch: [76][7500/10010] Time 0.335 (0.328) Data 0.000 (0.001) Loss 1.2066 (1.3639) Prec@1 71.875 (68.309) Prec@5 87.500 (86.876) Epoch: [76][7510/10010] Time 0.333 (0.328) Data 0.001 (0.001) Loss 1.1794 (1.3640) Prec@1 71.094 (68.308) Prec@5 89.844 (86.874) Epoch: [76][7520/10010] Time 0.320 (0.328) Data 0.000 (0.001) Loss 1.0869 (1.3640) Prec@1 74.219 (68.307) Prec@5 91.406 (86.875) Epoch: [76][7530/10010] Time 0.316 (0.328) Data 0.001 (0.001) Loss 1.3513 (1.3641) Prec@1 67.188 (68.305) Prec@5 87.500 (86.875) Epoch: [76][7540/10010] Time 0.317 (0.328) Data 0.001 (0.001) Loss 1.5557 (1.3641) Prec@1 67.969 (68.305) Prec@5 85.156 (86.877) Epoch: [76][7550/10010] Time 0.334 (0.328) Data 0.001 (0.001) Loss 1.3116 (1.3642) Prec@1 71.094 (68.305) Prec@5 86.719 (86.874) Epoch: [76][7560/10010] Time 0.337 (0.328) Data 0.004 (0.001) Loss 1.3786 (1.3642) Prec@1 71.094 (68.308) Prec@5 87.500 (86.874) Epoch: [76][7570/10010] Time 0.328 (0.328) Data 0.000 (0.001) Loss 1.4110 (1.3643) Prec@1 63.281 (68.306) Prec@5 85.938 (86.872) Epoch: [76][7580/10010] Time 0.339 (0.328) Data 0.001 (0.001) Loss 1.4845 (1.3642) Prec@1 59.375 (68.306) Prec@5 85.156 (86.873) Epoch: [76][7590/10010] Time 0.336 (0.328) Data 0.000 (0.001) Loss 1.4508 (1.3642) Prec@1 65.625 (68.305) Prec@5 85.938 (86.873) Epoch: [76][7600/10010] Time 0.320 (0.328) Data 0.001 (0.001) Loss 1.2345 (1.3642) Prec@1 67.188 (68.306) Prec@5 90.625 (86.872) Epoch: [76][7610/10010] Time 0.326 (0.328) Data 0.001 (0.001) Loss 1.5147 (1.3642) Prec@1 67.188 (68.306) Prec@5 83.594 (86.871) Epoch: [76][7620/10010] Time 0.335 (0.328) Data 0.004 (0.001) Loss 1.4568 (1.3642) Prec@1 66.406 (68.307) Prec@5 85.156 (86.870) Epoch: [76][7630/10010] Time 0.320 (0.328) Data 0.001 (0.001) Loss 1.7046 (1.3643) Prec@1 64.844 (68.308) Prec@5 83.594 (86.869) Epoch: [76][7640/10010] Time 0.327 (0.328) Data 0.000 (0.001) Loss 1.3726 (1.3641) Prec@1 68.750 (68.311) Prec@5 89.062 (86.870) Epoch: [76][7650/10010] Time 0.337 (0.328) Data 0.001 (0.001) Loss 1.2703 (1.3642) Prec@1 69.531 (68.311) Prec@5 89.062 (86.869) Epoch: [76][7660/10010] Time 0.321 (0.328) Data 0.001 (0.001) Loss 1.6007 (1.3642) Prec@1 68.750 (68.313) Prec@5 85.156 (86.870) Epoch: [76][7670/10010] Time 0.317 (0.328) Data 0.000 (0.001) Loss 1.2571 (1.3640) Prec@1 67.188 (68.315) Prec@5 89.062 (86.873) Epoch: [76][7680/10010] Time 0.320 (0.328) Data 0.001 (0.001) Loss 1.1638 (1.3640) Prec@1 71.875 (68.317) Prec@5 87.500 (86.874) Epoch: [76][7690/10010] Time 0.318 (0.328) Data 0.001 (0.001) Loss 1.3561 (1.3639) Prec@1 69.531 (68.317) Prec@5 89.062 (86.876) Epoch: [76][7700/10010] Time 0.323 (0.328) Data 0.000 (0.001) Loss 1.3965 (1.3640) Prec@1 67.188 (68.313) Prec@5 88.281 (86.874) Epoch: [76][7710/10010] Time 0.334 (0.328) Data 0.000 (0.001) Loss 1.4565 (1.3641) Prec@1 68.750 (68.312) Prec@5 86.719 (86.873) Epoch: [76][7720/10010] Time 0.335 (0.328) Data 0.000 (0.001) Loss 0.9887 (1.3640) Prec@1 74.219 (68.313) Prec@5 92.969 (86.874) Epoch: [76][7730/10010] Time 0.321 (0.328) Data 0.000 (0.001) Loss 1.2793 (1.3641) Prec@1 67.969 (68.312) Prec@5 87.500 (86.873) Epoch: [76][7740/10010] Time 0.338 (0.328) Data 0.000 (0.001) Loss 1.4656 (1.3642) Prec@1 66.406 (68.310) Prec@5 86.719 (86.873) Epoch: [76][7750/10010] Time 0.322 (0.328) Data 0.001 (0.001) Loss 1.4169 (1.3642) Prec@1 70.312 (68.310) Prec@5 85.156 (86.872) Epoch: [76][7760/10010] Time 0.334 (0.328) Data 0.000 (0.001) Loss 1.4121 (1.3643) Prec@1 71.875 (68.309) Prec@5 86.719 (86.872) Epoch: [76][7770/10010] Time 0.338 (0.328) Data 0.001 (0.001) Loss 1.2130 (1.3642) Prec@1 72.656 (68.310) Prec@5 85.938 (86.871) Epoch: [76][7780/10010] Time 0.326 (0.328) Data 0.001 (0.001) Loss 1.1951 (1.3642) Prec@1 73.438 (68.311) Prec@5 91.406 (86.871) Epoch: [76][7790/10010] Time 0.320 (0.328) Data 0.000 (0.001) Loss 1.5370 (1.3642) Prec@1 67.969 (68.311) Prec@5 85.156 (86.871) Epoch: [76][7800/10010] Time 0.331 (0.328) Data 0.001 (0.001) Loss 1.4586 (1.3643) Prec@1 67.188 (68.309) Prec@5 83.594 (86.871) Epoch: [76][7810/10010] Time 0.324 (0.328) Data 0.001 (0.001) Loss 1.4822 (1.3643) Prec@1 66.406 (68.309) Prec@5 85.156 (86.870) Epoch: [76][7820/10010] Time 0.322 (0.328) Data 0.001 (0.001) Loss 1.0914 (1.3644) Prec@1 71.094 (68.307) Prec@5 92.188 (86.869) Epoch: [76][7830/10010] Time 0.336 (0.328) Data 0.001 (0.001) Loss 1.1638 (1.3644) Prec@1 71.094 (68.307) Prec@5 87.500 (86.869) Epoch: [76][7840/10010] Time 0.323 (0.328) Data 0.001 (0.001) Loss 1.2660 (1.3643) Prec@1 75.000 (68.311) Prec@5 88.281 (86.870) Epoch: [76][7850/10010] Time 0.335 (0.328) Data 0.001 (0.001) Loss 1.2638 (1.3642) Prec@1 72.656 (68.315) Prec@5 91.406 (86.872) Epoch: [76][7860/10010] Time 0.331 (0.328) Data 0.001 (0.001) Loss 1.2994 (1.3641) Prec@1 71.094 (68.317) Prec@5 86.719 (86.871) Epoch: [76][7870/10010] Time 0.338 (0.328) Data 0.001 (0.001) Loss 1.5643 (1.3642) Prec@1 65.625 (68.315) Prec@5 84.375 (86.872) Epoch: [76][7880/10010] Time 0.339 (0.328) Data 0.001 (0.001) Loss 1.2508 (1.3642) Prec@1 71.094 (68.316) Prec@5 89.844 (86.872) Epoch: [76][7890/10010] Time 0.336 (0.328) Data 0.001 (0.001) Loss 1.7109 (1.3642) Prec@1 59.375 (68.316) Prec@5 82.812 (86.874) Epoch: [76][7900/10010] Time 0.329 (0.328) Data 0.000 (0.001) Loss 1.4679 (1.3641) Prec@1 58.594 (68.316) Prec@5 84.375 (86.875) Epoch: [76][7910/10010] Time 0.335 (0.328) Data 0.001 (0.001) Loss 1.3221 (1.3642) Prec@1 71.875 (68.314) Prec@5 82.812 (86.874) Epoch: [76][7920/10010] Time 0.324 (0.328) Data 0.001 (0.001) Loss 1.2841 (1.3643) Prec@1 64.062 (68.312) Prec@5 88.281 (86.874) Epoch: [76][7930/10010] Time 0.340 (0.328) Data 0.001 (0.001) Loss 1.1994 (1.3642) Prec@1 71.875 (68.312) Prec@5 89.844 (86.875) Epoch: [76][7940/10010] Time 0.330 (0.328) Data 0.001 (0.001) Loss 1.4259 (1.3643) Prec@1 70.312 (68.313) Prec@5 87.500 (86.874) Epoch: [76][7950/10010] Time 0.332 (0.328) Data 0.001 (0.001) Loss 1.6635 (1.3644) Prec@1 64.062 (68.310) Prec@5 83.594 (86.872) /data/vision/torralba/deepscene/lib/anaconda2/lib/python2.7/site-packages/PIL/TiffImagePlugin.py:692: UserWarning: Possibly corrupt EXIF data. Expecting to read 2555904 bytes but only got 0. Skipping tag 0 "Skipping tag %s" % (size, len(data), tag)) Epoch: [76][7960/10010] Time 0.335 (0.328) Data 0.001 (0.001) Loss 1.5761 (1.3645) Prec@1 69.531 (68.311) Prec@5 81.250 (86.872) Epoch: [76][7970/10010] Time 0.316 (0.328) Data 0.001 (0.001) Loss 1.3806 (1.3645) Prec@1 67.969 (68.308) Prec@5 84.375 (86.869) Epoch: [76][7980/10010] Time 0.333 (0.328) Data 0.001 (0.001) Loss 1.3947 (1.3645) Prec@1 70.312 (68.310) Prec@5 85.938 (86.869) Epoch: [76][7990/10010] Time 0.323 (0.328) Data 0.001 (0.001) Loss 1.1968 (1.3645) Prec@1 70.312 (68.311) Prec@5 89.062 (86.869) Epoch: [76][8000/10010] Time 0.341 (0.328) Data 0.001 (0.001) Loss 1.2463 (1.3645) Prec@1 67.969 (68.311) Prec@5 90.625 (86.869) Epoch: [76][8010/10010] Time 0.317 (0.328) Data 0.001 (0.001) Loss 1.4264 (1.3646) Prec@1 62.500 (68.308) Prec@5 86.719 (86.867) Epoch: [76][8020/10010] Time 0.315 (0.328) Data 0.001 (0.001) Loss 1.5490 (1.3647) Prec@1 68.750 (68.306) Prec@5 86.719 (86.865) Epoch: [76][8030/10010] Time 0.337 (0.328) Data 0.001 (0.001) Loss 1.5562 (1.3648) Prec@1 61.719 (68.302) Prec@5 82.031 (86.865) Epoch: [76][8040/10010] Time 0.333 (0.328) Data 0.001 (0.001) Loss 1.5267 (1.3647) Prec@1 70.312 (68.304) Prec@5 85.938 (86.867) Epoch: [76][8050/10010] Time 0.334 (0.328) Data 0.001 (0.001) Loss 1.4444 (1.3647) Prec@1 70.312 (68.305) Prec@5 82.812 (86.866) Epoch: [76][8060/10010] Time 0.315 (0.328) Data 0.000 (0.001) Loss 1.0163 (1.3647) Prec@1 71.094 (68.305) Prec@5 92.969 (86.865) Epoch: [76][8070/10010] Time 0.334 (0.328) Data 0.001 (0.001) Loss 1.0983 (1.3646) Prec@1 73.438 (68.307) Prec@5 89.844 (86.866) Epoch: [76][8080/10010] Time 0.324 (0.328) Data 0.000 (0.001) Loss 1.4237 (1.3647) Prec@1 62.500 (68.306) Prec@5 89.844 (86.867) Epoch: [76][8090/10010] Time 0.340 (0.328) Data 0.000 (0.001) Loss 1.1950 (1.3645) Prec@1 72.656 (68.309) Prec@5 88.281 (86.870) Epoch: [76][8100/10010] Time 0.316 (0.328) Data 0.001 (0.001) Loss 1.2044 (1.3644) Prec@1 70.312 (68.309) Prec@5 89.062 (86.869) Epoch: [76][8110/10010] Time 0.331 (0.328) Data 0.001 (0.001) Loss 1.3811 (1.3644) Prec@1 67.969 (68.310) Prec@5 89.062 (86.870) Epoch: [76][8120/10010] Time 0.336 (0.328) Data 0.001 (0.001) Loss 1.6198 (1.3645) Prec@1 69.531 (68.310) Prec@5 81.250 (86.869) Epoch: [76][8130/10010] Time 0.316 (0.328) Data 0.001 (0.001) Loss 1.4478 (1.3645) Prec@1 64.844 (68.310) Prec@5 85.156 (86.868) Epoch: [76][8140/10010] Time 0.324 (0.328) Data 0.000 (0.001) Loss 1.4009 (1.3646) Prec@1 67.969 (68.308) Prec@5 85.156 (86.866) Epoch: [76][8150/10010] Time 0.330 (0.328) Data 0.001 (0.001) Loss 1.4651 (1.3646) Prec@1 63.281 (68.307) Prec@5 85.938 (86.866) Epoch: [76][8160/10010] Time 0.327 (0.328) Data 0.001 (0.001) Loss 1.6047 (1.3646) Prec@1 68.750 (68.306) Prec@5 84.375 (86.866) Epoch: [76][8170/10010] Time 0.336 (0.328) Data 0.001 (0.001) Loss 1.6027 (1.3647) Prec@1 61.719 (68.304) Prec@5 81.250 (86.865) Epoch: [76][8180/10010] Time 0.312 (0.328) Data 0.001 (0.001) Loss 1.3743 (1.3647) Prec@1 69.531 (68.303) Prec@5 84.375 (86.865) Epoch: [76][8190/10010] Time 0.342 (0.328) Data 0.001 (0.001) Loss 1.2136 (1.3646) Prec@1 73.438 (68.305) Prec@5 90.625 (86.865) Epoch: [76][8200/10010] Time 0.339 (0.328) Data 0.001 (0.001) Loss 1.5154 (1.3646) Prec@1 64.844 (68.304) Prec@5 84.375 (86.866) Epoch: [76][8210/10010] Time 0.337 (0.328) Data 0.001 (0.001) Loss 1.5067 (1.3644) Prec@1 61.719 (68.306) Prec@5 88.281 (86.869) Epoch: [76][8220/10010] Time 0.316 (0.328) Data 0.001 (0.001) Loss 1.3682 (1.3645) Prec@1 64.844 (68.305) Prec@5 85.938 (86.868) Epoch: [76][8230/10010] Time 0.318 (0.328) Data 0.001 (0.001) Loss 1.3967 (1.3644) Prec@1 70.312 (68.307) Prec@5 83.594 (86.868) Epoch: [76][8240/10010] Time 0.334 (0.328) Data 0.001 (0.001) Loss 1.5170 (1.3644) Prec@1 65.625 (68.307) Prec@5 82.812 (86.868) Epoch: [76][8250/10010] Time 0.318 (0.328) Data 0.001 (0.001) Loss 1.4709 (1.3646) Prec@1 62.500 (68.302) Prec@5 85.156 (86.866) Epoch: [76][8260/10010] Time 0.321 (0.328) Data 0.001 (0.001) Loss 1.5270 (1.3646) Prec@1 60.938 (68.303) Prec@5 85.938 (86.867) Epoch: [76][8270/10010] Time 0.331 (0.328) Data 0.000 (0.001) Loss 1.4485 (1.3646) Prec@1 66.406 (68.303) Prec@5 84.375 (86.867) Epoch: [76][8280/10010] Time 0.328 (0.328) Data 0.001 (0.001) Loss 1.1267 (1.3646) Prec@1 74.219 (68.303) Prec@5 91.406 (86.868) Epoch: [76][8290/10010] Time 0.318 (0.328) Data 0.001 (0.001) Loss 1.6480 (1.3646) Prec@1 61.719 (68.301) Prec@5 84.375 (86.868) Epoch: [76][8300/10010] Time 0.337 (0.328) Data 0.001 (0.001) Loss 1.3346 (1.3648) Prec@1 70.312 (68.299) Prec@5 87.500 (86.865) Epoch: [76][8310/10010] Time 0.334 (0.328) Data 0.001 (0.001) Loss 1.1393 (1.3649) Prec@1 70.312 (68.296) Prec@5 88.281 (86.861) Epoch: [76][8320/10010] Time 0.323 (0.328) Data 0.001 (0.001) Loss 1.2198 (1.3648) Prec@1 71.875 (68.298) Prec@5 86.719 (86.862) Epoch: [76][8330/10010] Time 0.328 (0.328) Data 0.001 (0.001) Loss 1.3644 (1.3648) Prec@1 68.750 (68.298) Prec@5 87.500 (86.862) Epoch: [76][8340/10010] Time 0.313 (0.328) Data 0.001 (0.001) Loss 1.1813 (1.3647) Prec@1 67.188 (68.298) Prec@5 90.625 (86.863) Epoch: [76][8350/10010] Time 0.312 (0.328) Data 0.001 (0.001) Loss 1.0392 (1.3646) Prec@1 71.875 (68.302) Prec@5 89.062 (86.864) Epoch: [76][8360/10010] Time 0.318 (0.328) Data 0.001 (0.001) Loss 1.3781 (1.3646) Prec@1 67.188 (68.302) Prec@5 86.719 (86.863) Epoch: [76][8370/10010] Time 0.330 (0.328) Data 0.001 (0.001) Loss 1.6634 (1.3647) Prec@1 67.969 (68.302) Prec@5 82.031 (86.862) Epoch: [76][8380/10010] Time 0.318 (0.328) Data 0.001 (0.001) Loss 1.1863 (1.3647) Prec@1 73.438 (68.303) Prec@5 90.625 (86.863) Epoch: [76][8390/10010] Time 0.321 (0.328) Data 0.001 (0.001) Loss 1.1960 (1.3647) Prec@1 71.094 (68.303) Prec@5 89.844 (86.863) Epoch: [76][8400/10010] Time 0.321 (0.328) Data 0.001 (0.001) Loss 1.2327 (1.3646) Prec@1 74.219 (68.304) Prec@5 87.500 (86.864) Epoch: [76][8410/10010] Time 0.337 (0.328) Data 0.001 (0.001) Loss 1.5117 (1.3646) Prec@1 65.625 (68.303) Prec@5 84.375 (86.864) Epoch: [76][8420/10010] Time 0.343 (0.328) Data 0.001 (0.001) Loss 1.6487 (1.3647) Prec@1 64.844 (68.302) Prec@5 80.469 (86.862) Epoch: [76][8430/10010] Time 0.335 (0.328) Data 0.001 (0.001) Loss 1.4465 (1.3647) Prec@1 67.969 (68.302) Prec@5 85.156 (86.862) Epoch: [76][8440/10010] Time 0.315 (0.328) Data 0.001 (0.001) Loss 1.3437 (1.3647) Prec@1 74.219 (68.304) Prec@5 86.719 (86.861) Epoch: [76][8450/10010] Time 0.339 (0.328) Data 0.000 (0.001) Loss 1.6515 (1.3647) Prec@1 66.406 (68.306) Prec@5 82.812 (86.861) Epoch: [76][8460/10010] Time 0.338 (0.328) Data 0.001 (0.001) Loss 1.3394 (1.3647) Prec@1 67.188 (68.305) Prec@5 85.156 (86.860) Epoch: [76][8470/10010] Time 0.322 (0.328) Data 0.001 (0.001) Loss 1.5747 (1.3647) Prec@1 63.281 (68.303) Prec@5 85.156 (86.861) Epoch: [76][8480/10010] Time 0.326 (0.328) Data 0.000 (0.001) Loss 1.2436 (1.3646) Prec@1 72.656 (68.306) Prec@5 88.281 (86.862) Epoch: [76][8490/10010] Time 0.319 (0.328) Data 0.001 (0.001) Loss 1.4170 (1.3647) Prec@1 66.406 (68.305) Prec@5 81.250 (86.861) Epoch: [76][8500/10010] Time 0.321 (0.328) Data 0.001 (0.001) Loss 1.3688 (1.3647) Prec@1 70.312 (68.306) Prec@5 85.938 (86.861) Epoch: [76][8510/10010] Time 0.314 (0.328) Data 0.001 (0.001) Loss 1.7984 (1.3647) Prec@1 57.812 (68.304) Prec@5 78.906 (86.861) Epoch: [76][8520/10010] Time 0.332 (0.328) Data 0.001 (0.001) Loss 1.1080 (1.3647) Prec@1 71.094 (68.302) Prec@5 89.062 (86.860) Epoch: [76][8530/10010] Time 0.323 (0.328) Data 0.001 (0.001) Loss 1.5372 (1.3647) Prec@1 64.844 (68.303) Prec@5 84.375 (86.861) Epoch: [76][8540/10010] Time 0.334 (0.328) Data 0.001 (0.001) Loss 1.3729 (1.3646) Prec@1 71.875 (68.303) Prec@5 86.719 (86.862) Epoch: [76][8550/10010] Time 0.320 (0.328) Data 0.000 (0.001) Loss 1.5558 (1.3647) Prec@1 62.500 (68.301) Prec@5 85.156 (86.862) Epoch: [76][8560/10010] Time 0.333 (0.328) Data 0.001 (0.001) Loss 1.5680 (1.3647) Prec@1 60.938 (68.301) Prec@5 83.594 (86.861) Epoch: [76][8570/10010] Time 0.333 (0.328) Data 0.000 (0.001) Loss 1.6830 (1.3646) Prec@1 57.812 (68.302) Prec@5 82.812 (86.862) Epoch: [76][8580/10010] Time 0.328 (0.328) Data 0.001 (0.001) Loss 1.0073 (1.3645) Prec@1 77.344 (68.306) Prec@5 92.969 (86.865) Epoch: [76][8590/10010] Time 0.319 (0.328) Data 0.002 (0.001) Loss 1.6137 (1.3644) Prec@1 63.281 (68.309) Prec@5 85.938 (86.867) Epoch: [76][8600/10010] Time 0.324 (0.328) Data 0.000 (0.001) Loss 1.4171 (1.3644) Prec@1 67.969 (68.307) Prec@5 82.812 (86.865) Epoch: [76][8610/10010] Time 0.334 (0.328) Data 0.001 (0.001) Loss 1.6301 (1.3645) Prec@1 65.625 (68.306) Prec@5 83.594 (86.864) Epoch: [76][8620/10010] Time 0.330 (0.328) Data 0.001 (0.001) Loss 1.4106 (1.3645) Prec@1 70.312 (68.306) Prec@5 86.719 (86.865) Epoch: [76][8630/10010] Time 0.317 (0.328) Data 0.001 (0.001) Loss 1.2287 (1.3645) Prec@1 70.312 (68.307) Prec@5 85.938 (86.865) Epoch: [76][8640/10010] Time 0.336 (0.328) Data 0.000 (0.001) Loss 1.3319 (1.3644) Prec@1 74.219 (68.309) Prec@5 85.938 (86.865) Epoch: [76][8650/10010] Time 0.342 (0.328) Data 0.000 (0.001) Loss 1.5979 (1.3646) Prec@1 63.281 (68.306) Prec@5 84.375 (86.863) Epoch: [76][8660/10010] Time 0.335 (0.328) Data 0.000 (0.001) Loss 1.2883 (1.3647) Prec@1 72.656 (68.304) Prec@5 85.156 (86.861) Epoch: [76][8670/10010] Time 0.322 (0.328) Data 0.000 (0.001) Loss 1.2626 (1.3647) Prec@1 71.094 (68.304) Prec@5 89.062 (86.861) Epoch: [76][8680/10010] Time 0.313 (0.328) Data 0.000 (0.001) Loss 1.3228 (1.3647) Prec@1 67.969 (68.304) Prec@5 89.062 (86.861) Epoch: [76][8690/10010] Time 0.322 (0.328) Data 0.001 (0.001) Loss 1.4878 (1.3648) Prec@1 64.844 (68.303) Prec@5 85.938 (86.860) Epoch: [76][8700/10010] Time 0.341 (0.328) Data 0.000 (0.001) Loss 1.3014 (1.3648) Prec@1 69.531 (68.303) Prec@5 89.062 (86.859) /data/vision/torralba/deepscene/lib/anaconda2/lib/python2.7/site-packages/PIL/TiffImagePlugin.py:709: UserWarning: Corrupt EXIF data. Expecting to read 4 bytes but only got 0. warnings.warn(str(msg)) Epoch: [76][8710/10010] Time 0.336 (0.328) Data 0.001 (0.001) Loss 1.4429 (1.3649) Prec@1 68.750 (68.302) Prec@5 84.375 (86.858) Epoch: [76][8720/10010] Time 0.316 (0.328) Data 0.001 (0.001) Loss 1.4796 (1.3649) Prec@1 67.969 (68.304) Prec@5 83.594 (86.859) Epoch: [76][8730/10010] Time 0.332 (0.328) Data 0.001 (0.001) Loss 1.2519 (1.3649) Prec@1 68.750 (68.303) Prec@5 88.281 (86.860) Epoch: [76][8740/10010] Time 0.320 (0.328) Data 0.001 (0.001) Loss 1.2528 (1.3649) Prec@1 75.000 (68.304) Prec@5 85.938 (86.857) Epoch: [76][8750/10010] Time 0.313 (0.328) Data 0.001 (0.001) Loss 1.5198 (1.3651) Prec@1 66.406 (68.301) Prec@5 82.031 (86.855) Epoch: [76][8760/10010] Time 0.329 (0.328) Data 0.000 (0.001) Loss 1.0023 (1.3651) Prec@1 77.344 (68.302) Prec@5 91.406 (86.854) Epoch: [76][8770/10010] Time 0.340 (0.328) Data 0.001 (0.001) Loss 1.4686 (1.3652) Prec@1 69.531 (68.301) Prec@5 82.812 (86.852) Epoch: [76][8780/10010] Time 0.322 (0.328) Data 0.000 (0.001) Loss 1.1754 (1.3652) Prec@1 71.094 (68.299) Prec@5 89.844 (86.852) Epoch: [76][8790/10010] Time 0.319 (0.328) Data 0.001 (0.001) Loss 1.2070 (1.3653) Prec@1 71.094 (68.295) Prec@5 88.281 (86.850) Epoch: [76][8800/10010] Time 0.321 (0.328) Data 0.000 (0.001) Loss 1.4349 (1.3653) Prec@1 67.188 (68.295) Prec@5 84.375 (86.850) Epoch: [76][8810/10010] Time 0.330 (0.328) Data 0.000 (0.001) Loss 1.4614 (1.3653) Prec@1 65.625 (68.295) Prec@5 85.156 (86.850) Epoch: [76][8820/10010] Time 0.337 (0.328) Data 0.001 (0.001) Loss 1.3958 (1.3653) Prec@1 60.938 (68.294) Prec@5 91.406 (86.850) Epoch: [76][8830/10010] Time 0.311 (0.328) Data 0.001 (0.001) Loss 1.2716 (1.3653) Prec@1 67.188 (68.293) Prec@5 89.062 (86.850) Epoch: [76][8840/10010] Time 0.316 (0.328) Data 0.001 (0.001) Loss 1.5227 (1.3652) Prec@1 67.188 (68.294) Prec@5 86.719 (86.851) Epoch: [76][8850/10010] Time 0.333 (0.328) Data 0.001 (0.001) Loss 1.1983 (1.3653) Prec@1 73.438 (68.293) Prec@5 89.062 (86.850) Epoch: [76][8860/10010] Time 0.335 (0.328) Data 0.001 (0.001) Loss 1.3598 (1.3653) Prec@1 67.969 (68.293) Prec@5 85.156 (86.848) Epoch: [76][8870/10010] Time 0.324 (0.328) Data 0.001 (0.001) Loss 1.5400 (1.3653) Prec@1 63.281 (68.292) Prec@5 83.594 (86.848) Epoch: [76][8880/10010] Time 0.316 (0.328) Data 0.000 (0.001) Loss 1.4154 (1.3654) Prec@1 66.406 (68.290) Prec@5 85.156 (86.847) Epoch: [76][8890/10010] Time 0.320 (0.328) Data 0.000 (0.001) Loss 1.5836 (1.3654) Prec@1 66.406 (68.291) Prec@5 85.156 (86.847) Epoch: [76][8900/10010] Time 0.322 (0.328) Data 0.000 (0.001) Loss 1.2203 (1.3655) Prec@1 75.000 (68.292) Prec@5 87.500 (86.847) Epoch: [76][8910/10010] Time 0.328 (0.328) Data 0.000 (0.001) Loss 1.3062 (1.3655) Prec@1 69.531 (68.293) Prec@5 89.062 (86.847) Epoch: [76][8920/10010] Time 0.320 (0.328) Data 0.000 (0.001) Loss 1.2565 (1.3654) Prec@1 66.406 (68.293) Prec@5 89.844 (86.848) Epoch: [76][8930/10010] Time 0.330 (0.328) Data 0.001 (0.001) Loss 1.1822 (1.3653) Prec@1 71.094 (68.294) Prec@5 89.062 (86.849) Epoch: [76][8940/10010] Time 0.326 (0.328) Data 0.001 (0.001) Loss 1.3528 (1.3654) Prec@1 67.188 (68.293) Prec@5 85.156 (86.847) Epoch: [76][8950/10010] Time 0.321 (0.328) Data 0.001 (0.001) Loss 1.4104 (1.3654) Prec@1 67.969 (68.292) Prec@5 85.156 (86.845) Epoch: [76][8960/10010] Time 0.330 (0.328) Data 0.001 (0.001) Loss 0.9986 (1.3653) Prec@1 75.000 (68.295) Prec@5 92.969 (86.848) Epoch: [76][8970/10010] Time 0.331 (0.328) Data 0.001 (0.001) Loss 1.7038 (1.3653) Prec@1 63.281 (68.296) Prec@5 84.375 (86.850) Epoch: [76][8980/10010] Time 0.338 (0.328) Data 0.001 (0.001) Loss 1.2797 (1.3652) Prec@1 70.312 (68.297) Prec@5 88.281 (86.851) Epoch: [76][8990/10010] Time 0.328 (0.328) Data 0.001 (0.001) Loss 1.2853 (1.3652) Prec@1 69.531 (68.297) Prec@5 86.719 (86.850) Epoch: [76][9000/10010] Time 0.331 (0.328) Data 0.001 (0.001) Loss 1.2150 (1.3653) Prec@1 73.438 (68.294) Prec@5 90.625 (86.849) Epoch: [76][9010/10010] Time 0.336 (0.328) Data 0.000 (0.001) Loss 1.5395 (1.3654) Prec@1 70.312 (68.294) Prec@5 85.156 (86.848) Epoch: [76][9020/10010] Time 0.340 (0.328) Data 0.000 (0.001) Loss 1.2805 (1.3654) Prec@1 73.438 (68.292) Prec@5 86.719 (86.848) Epoch: [76][9030/10010] Time 0.332 (0.328) Data 0.000 (0.001) Loss 1.1173 (1.3654) Prec@1 72.656 (68.294) Prec@5 91.406 (86.848) Epoch: [76][9040/10010] Time 0.338 (0.328) Data 0.000 (0.001) Loss 1.4200 (1.3653) Prec@1 65.625 (68.294) Prec@5 86.719 (86.849) Epoch: [76][9050/10010] Time 0.340 (0.328) Data 0.000 (0.001) Loss 1.3099 (1.3654) Prec@1 68.750 (68.292) Prec@5 87.500 (86.848) Epoch: [76][9060/10010] Time 0.340 (0.328) Data 0.001 (0.001) Loss 1.3685 (1.3654) Prec@1 70.312 (68.292) Prec@5 85.938 (86.849) Epoch: [76][9070/10010] Time 0.337 (0.328) Data 0.001 (0.001) Loss 1.2828 (1.3655) Prec@1 71.875 (68.291) Prec@5 88.281 (86.848) Epoch: [76][9080/10010] Time 0.328 (0.328) Data 0.001 (0.001) Loss 1.3590 (1.3655) Prec@1 70.312 (68.291) Prec@5 85.156 (86.849) Epoch: [76][9090/10010] Time 0.333 (0.328) Data 0.001 (0.001) Loss 1.5351 (1.3655) Prec@1 65.625 (68.291) Prec@5 84.375 (86.848) Epoch: [76][9100/10010] Time 0.319 (0.328) Data 0.001 (0.001) Loss 1.2566 (1.3654) Prec@1 67.969 (68.292) Prec@5 90.625 (86.849) Epoch: [76][9110/10010] Time 0.331 (0.328) Data 0.001 (0.001) Loss 1.5272 (1.3655) Prec@1 66.406 (68.291) Prec@5 82.031 (86.847) Epoch: [76][9120/10010] Time 0.335 (0.328) Data 0.001 (0.001) Loss 1.3184 (1.3655) Prec@1 67.188 (68.292) Prec@5 87.500 (86.846) Epoch: [76][9130/10010] Time 0.319 (0.328) Data 0.001 (0.001) Loss 1.0363 (1.3655) Prec@1 73.438 (68.290) Prec@5 89.844 (86.846) Epoch: [76][9140/10010] Time 0.330 (0.328) Data 0.001 (0.001) Loss 1.3445 (1.3655) Prec@1 69.531 (68.291) Prec@5 89.062 (86.846) Epoch: [76][9150/10010] Time 0.321 (0.328) Data 0.001 (0.001) Loss 1.4529 (1.3655) Prec@1 71.875 (68.290) Prec@5 87.500 (86.845) Epoch: [76][9160/10010] Time 0.337 (0.328) Data 0.001 (0.001) Loss 1.4160 (1.3656) Prec@1 67.969 (68.289) Prec@5 84.375 (86.844) Epoch: [76][9170/10010] Time 0.334 (0.328) Data 0.000 (0.001) Loss 1.5408 (1.3656) Prec@1 69.531 (68.288) Prec@5 82.812 (86.843) Epoch: [76][9180/10010] Time 0.325 (0.328) Data 0.001 (0.001) Loss 1.2544 (1.3656) Prec@1 68.750 (68.287) Prec@5 88.281 (86.843) Epoch: [76][9190/10010] Time 0.329 (0.328) Data 0.001 (0.001) Loss 1.4430 (1.3656) Prec@1 70.312 (68.288) Prec@5 86.719 (86.843) Epoch: [76][9200/10010] Time 0.317 (0.328) Data 0.001 (0.001) Loss 1.3766 (1.3657) Prec@1 72.656 (68.289) Prec@5 88.281 (86.843) Epoch: [76][9210/10010] Time 0.338 (0.328) Data 0.001 (0.001) Loss 1.2277 (1.3655) Prec@1 67.188 (68.291) Prec@5 88.281 (86.845) Epoch: [76][9220/10010] Time 0.340 (0.328) Data 0.000 (0.001) Loss 1.3469 (1.3655) Prec@1 72.656 (68.292) Prec@5 86.719 (86.846) Epoch: [76][9230/10010] Time 0.329 (0.328) Data 0.001 (0.001) Loss 1.4941 (1.3654) Prec@1 61.719 (68.294) Prec@5 85.938 (86.846) Epoch: [76][9240/10010] Time 0.337 (0.328) Data 0.001 (0.001) Loss 1.1178 (1.3655) Prec@1 71.875 (68.291) Prec@5 89.062 (86.843) Epoch: [76][9250/10010] Time 0.340 (0.328) Data 0.000 (0.001) Loss 1.4627 (1.3656) Prec@1 62.500 (68.291) Prec@5 86.719 (86.841) Epoch: [76][9260/10010] Time 0.332 (0.328) Data 0.001 (0.001) Loss 1.6126 (1.3657) Prec@1 63.281 (68.288) Prec@5 82.812 (86.841) Epoch: [76][9270/10010] Time 0.334 (0.328) Data 0.001 (0.001) Loss 1.2625 (1.3658) Prec@1 72.656 (68.286) Prec@5 89.844 (86.839) Epoch: [76][9280/10010] Time 0.323 (0.328) Data 0.000 (0.001) Loss 1.5542 (1.3658) Prec@1 67.188 (68.285) Prec@5 84.375 (86.838) Epoch: [76][9290/10010] Time 0.329 (0.328) Data 0.000 (0.001) Loss 1.0885 (1.3658) Prec@1 73.438 (68.285) Prec@5 92.188 (86.839) Epoch: [76][9300/10010] Time 0.335 (0.328) Data 0.000 (0.001) Loss 1.0948 (1.3658) Prec@1 75.000 (68.286) Prec@5 90.625 (86.839) Epoch: [76][9310/10010] Time 0.324 (0.328) Data 0.001 (0.001) Loss 1.3164 (1.3658) Prec@1 70.312 (68.285) Prec@5 89.062 (86.840) Epoch: [76][9320/10010] Time 0.335 (0.328) Data 0.001 (0.001) Loss 1.0702 (1.3658) Prec@1 71.875 (68.286) Prec@5 93.750 (86.841) Epoch: [76][9330/10010] Time 0.339 (0.328) Data 0.001 (0.001) Loss 1.1404 (1.3658) Prec@1 71.094 (68.286) Prec@5 92.188 (86.841) Epoch: [76][9340/10010] Time 0.336 (0.328) Data 0.001 (0.001) Loss 1.3876 (1.3659) Prec@1 64.844 (68.282) Prec@5 89.062 (86.841) Epoch: [76][9350/10010] Time 0.342 (0.328) Data 0.000 (0.001) Loss 1.3294 (1.3658) Prec@1 71.094 (68.284) Prec@5 89.062 (86.843) Epoch: [76][9360/10010] Time 0.338 (0.328) Data 0.001 (0.001) Loss 1.5045 (1.3658) Prec@1 66.406 (68.283) Prec@5 83.594 (86.843) Epoch: [76][9370/10010] Time 0.336 (0.328) Data 0.001 (0.001) Loss 1.6392 (1.3659) Prec@1 67.188 (68.283) Prec@5 81.250 (86.841) Epoch: [76][9380/10010] Time 0.339 (0.328) Data 0.001 (0.001) Loss 1.5942 (1.3660) Prec@1 60.938 (68.282) Prec@5 82.031 (86.841) Epoch: [76][9390/10010] Time 0.340 (0.328) Data 0.001 (0.001) Loss 1.2265 (1.3659) Prec@1 68.750 (68.283) Prec@5 89.844 (86.842) Epoch: [76][9400/10010] Time 0.340 (0.328) Data 0.000 (0.001) Loss 1.3631 (1.3659) Prec@1 65.625 (68.284) Prec@5 85.156 (86.843) Epoch: [76][9410/10010] Time 0.333 (0.328) Data 0.001 (0.001) Loss 1.2464 (1.3659) Prec@1 68.750 (68.285) Prec@5 88.281 (86.843) Epoch: [76][9420/10010] Time 0.343 (0.328) Data 0.000 (0.001) Loss 1.1104 (1.3659) Prec@1 67.188 (68.282) Prec@5 92.188 (86.842) Epoch: [76][9430/10010] Time 0.337 (0.328) Data 0.001 (0.001) Loss 1.3349 (1.3659) Prec@1 71.875 (68.283) Prec@5 85.938 (86.841) Epoch: [76][9440/10010] Time 0.318 (0.328) Data 0.000 (0.001) Loss 1.0951 (1.3660) Prec@1 72.656 (68.281) Prec@5 94.531 (86.840) Epoch: [76][9450/10010] Time 0.335 (0.328) Data 0.001 (0.001) Loss 1.7499 (1.3660) Prec@1 57.031 (68.280) Prec@5 78.125 (86.839) Epoch: [76][9460/10010] Time 0.337 (0.328) Data 0.000 (0.001) Loss 1.5546 (1.3661) Prec@1 63.281 (68.279) Prec@5 85.156 (86.839) Epoch: [76][9470/10010] Time 0.340 (0.328) Data 0.001 (0.001) Loss 1.2427 (1.3661) Prec@1 72.656 (68.280) Prec@5 90.625 (86.839) Epoch: [76][9480/10010] Time 0.317 (0.328) Data 0.001 (0.001) Loss 1.2439 (1.3660) Prec@1 73.438 (68.283) Prec@5 86.719 (86.840) Epoch: [76][9490/10010] Time 0.318 (0.328) Data 0.001 (0.001) Loss 1.2835 (1.3660) Prec@1 71.094 (68.283) Prec@5 87.500 (86.842) Epoch: [76][9500/10010] Time 0.350 (0.328) Data 0.000 (0.001) Loss 1.4322 (1.3660) Prec@1 67.188 (68.285) Prec@5 87.500 (86.842) Epoch: [76][9510/10010] Time 0.339 (0.328) Data 0.001 (0.001) Loss 1.6345 (1.3660) Prec@1 59.375 (68.283) Prec@5 82.812 (86.843) Epoch: [76][9520/10010] Time 0.327 (0.328) Data 0.000 (0.001) Loss 1.1710 (1.3660) Prec@1 67.969 (68.283) Prec@5 88.281 (86.842) Epoch: [76][9530/10010] Time 0.331 (0.328) Data 0.001 (0.001) Loss 1.5703 (1.3660) Prec@1 64.844 (68.284) Prec@5 83.594 (86.842) Epoch: [76][9540/10010] Time 0.320 (0.328) Data 0.001 (0.001) Loss 1.2567 (1.3661) Prec@1 65.625 (68.282) Prec@5 86.719 (86.841) Epoch: [76][9550/10010] Time 0.317 (0.328) Data 0.001 (0.001) Loss 1.3009 (1.3660) Prec@1 69.531 (68.285) Prec@5 89.062 (86.842) Epoch: [76][9560/10010] Time 0.318 (0.328) Data 0.001 (0.001) Loss 1.3468 (1.3659) Prec@1 70.312 (68.286) Prec@5 86.719 (86.844) Epoch: [76][9570/10010] Time 0.318 (0.328) Data 0.000 (0.001) Loss 1.1984 (1.3658) Prec@1 64.062 (68.287) Prec@5 92.188 (86.846) Epoch: [76][9580/10010] Time 0.318 (0.328) Data 0.000 (0.001) Loss 1.1968 (1.3658) Prec@1 72.656 (68.287) Prec@5 88.281 (86.847) Epoch: [76][9590/10010] Time 0.329 (0.328) Data 0.001 (0.001) Loss 1.3234 (1.3657) Prec@1 69.531 (68.289) Prec@5 87.500 (86.848) Epoch: [76][9600/10010] Time 0.338 (0.328) Data 0.001 (0.001) Loss 1.2705 (1.3656) Prec@1 68.750 (68.291) Prec@5 85.938 (86.849) Epoch: [76][9610/10010] Time 0.336 (0.328) Data 0.000 (0.001) Loss 1.4219 (1.3657) Prec@1 63.281 (68.289) Prec@5 85.156 (86.847) Epoch: [76][9620/10010] Time 0.327 (0.328) Data 0.001 (0.001) Loss 1.2650 (1.3657) Prec@1 69.531 (68.290) Prec@5 85.938 (86.847) Epoch: [76][9630/10010] Time 0.326 (0.328) Data 0.001 (0.001) Loss 1.2848 (1.3657) Prec@1 69.531 (68.290) Prec@5 85.156 (86.847) Epoch: [76][9640/10010] Time 0.334 (0.328) Data 0.001 (0.001) Loss 1.1716 (1.3657) Prec@1 70.312 (68.290) Prec@5 92.188 (86.847) Epoch: [76][9650/10010] Time 0.327 (0.328) Data 0.001 (0.001) Loss 1.2856 (1.3657) Prec@1 77.344 (68.292) Prec@5 88.281 (86.849) Epoch: [76][9660/10010] Time 0.333 (0.328) Data 0.000 (0.001) Loss 1.3990 (1.3656) Prec@1 67.969 (68.293) Prec@5 89.844 (86.849) Epoch: [76][9670/10010] Time 0.320 (0.328) Data 0.000 (0.001) Loss 1.3705 (1.3656) Prec@1 66.406 (68.292) Prec@5 89.844 (86.849) Epoch: [76][9680/10010] Time 0.321 (0.328) Data 0.001 (0.001) Loss 1.5308 (1.3657) Prec@1 66.406 (68.292) Prec@5 80.469 (86.847) Epoch: [76][9690/10010] Time 0.323 (0.328) Data 0.001 (0.001) Loss 1.2358 (1.3658) Prec@1 71.094 (68.291) Prec@5 89.062 (86.846) Epoch: [76][9700/10010] Time 0.311 (0.328) Data 0.001 (0.001) Loss 1.3225 (1.3658) Prec@1 67.969 (68.289) Prec@5 86.719 (86.844) Epoch: [76][9710/10010] Time 0.334 (0.328) Data 0.001 (0.001) Loss 1.4538 (1.3659) Prec@1 65.625 (68.287) Prec@5 80.469 (86.842) Epoch: [76][9720/10010] Time 0.338 (0.328) Data 0.000 (0.001) Loss 1.3457 (1.3660) Prec@1 67.969 (68.286) Prec@5 84.375 (86.840) Epoch: [76][9730/10010] Time 0.313 (0.328) Data 0.001 (0.001) Loss 1.2576 (1.3660) Prec@1 67.188 (68.284) Prec@5 88.281 (86.840) Epoch: [76][9740/10010] Time 0.331 (0.328) Data 0.001 (0.001) Loss 1.4669 (1.3661) Prec@1 64.062 (68.282) Prec@5 86.719 (86.841) Epoch: [76][9750/10010] Time 0.338 (0.328) Data 0.001 (0.001) Loss 1.2490 (1.3660) Prec@1 71.094 (68.285) Prec@5 88.281 (86.842) Epoch: [76][9760/10010] Time 0.317 (0.328) Data 0.001 (0.001) Loss 1.3682 (1.3660) Prec@1 69.531 (68.285) Prec@5 85.156 (86.842) Epoch: [76][9770/10010] Time 0.323 (0.328) Data 0.001 (0.001) Loss 1.2840 (1.3659) Prec@1 71.094 (68.287) Prec@5 85.938 (86.844) Epoch: [76][9780/10010] Time 0.324 (0.328) Data 0.001 (0.001) Loss 1.2489 (1.3659) Prec@1 69.531 (68.286) Prec@5 85.156 (86.842) Epoch: [76][9790/10010] Time 0.320 (0.328) Data 0.000 (0.001) Loss 1.2893 (1.3660) Prec@1 71.094 (68.286) Prec@5 88.281 (86.842) Epoch: [76][9800/10010] Time 0.320 (0.328) Data 0.001 (0.001) Loss 1.2130 (1.3659) Prec@1 73.438 (68.286) Prec@5 87.500 (86.842) Epoch: [76][9810/10010] Time 0.337 (0.328) Data 0.000 (0.001) Loss 1.4837 (1.3659) Prec@1 65.625 (68.288) Prec@5 84.375 (86.842) Epoch: [76][9820/10010] Time 0.337 (0.328) Data 0.000 (0.001) Loss 1.1071 (1.3659) Prec@1 71.094 (68.287) Prec@5 89.062 (86.842) Epoch: [76][9830/10010] Time 0.337 (0.328) Data 0.000 (0.001) Loss 1.3068 (1.3659) Prec@1 61.719 (68.286) Prec@5 89.062 (86.841) Epoch: [76][9840/10010] Time 0.322 (0.328) Data 0.000 (0.001) Loss 1.3057 (1.3660) Prec@1 68.750 (68.285) Prec@5 87.500 (86.839) Epoch: [76][9850/10010] Time 0.314 (0.328) Data 0.000 (0.001) Loss 1.3033 (1.3659) Prec@1 71.875 (68.286) Prec@5 85.938 (86.840) Epoch: [76][9860/10010] Time 0.336 (0.328) Data 0.001 (0.001) Loss 1.6307 (1.3659) Prec@1 61.719 (68.287) Prec@5 81.250 (86.840) Epoch: [76][9870/10010] Time 0.320 (0.328) Data 0.001 (0.001) Loss 1.3629 (1.3659) Prec@1 67.188 (68.286) Prec@5 85.938 (86.840) Epoch: [76][9880/10010] Time 0.325 (0.328) Data 0.001 (0.001) Loss 1.2032 (1.3660) Prec@1 74.219 (68.285) Prec@5 88.281 (86.840) Epoch: [76][9890/10010] Time 0.327 (0.328) Data 0.000 (0.001) Loss 1.5371 (1.3660) Prec@1 61.719 (68.285) Prec@5 87.500 (86.840) Epoch: [76][9900/10010] Time 0.324 (0.328) Data 0.001 (0.001) Loss 1.0925 (1.3659) Prec@1 74.219 (68.285) Prec@5 89.062 (86.840) Epoch: [76][9910/10010] Time 0.336 (0.328) Data 0.001 (0.001) Loss 1.3311 (1.3658) Prec@1 69.531 (68.287) Prec@5 85.156 (86.841) Epoch: [76][9920/10010] Time 0.340 (0.328) Data 0.000 (0.001) Loss 1.3922 (1.3658) Prec@1 73.438 (68.288) Prec@5 84.375 (86.840) Epoch: [76][9930/10010] Time 0.322 (0.328) Data 0.001 (0.001) Loss 1.5439 (1.3659) Prec@1 61.719 (68.286) Prec@5 82.031 (86.839) Epoch: [76][9940/10010] Time 0.316 (0.328) Data 0.001 (0.001) Loss 1.3572 (1.3658) Prec@1 65.625 (68.287) Prec@5 91.406 (86.840) Epoch: [76][9950/10010] Time 0.332 (0.328) Data 0.001 (0.001) Loss 1.4062 (1.3659) Prec@1 67.969 (68.287) Prec@5 89.062 (86.839) Epoch: [76][9960/10010] Time 0.338 (0.328) Data 0.001 (0.001) Loss 1.4430 (1.3659) Prec@1 60.156 (68.285) Prec@5 86.719 (86.839) Epoch: [76][9970/10010] Time 0.330 (0.328) Data 0.001 (0.001) Loss 1.1203 (1.3658) Prec@1 67.188 (68.286) Prec@5 89.844 (86.841) Epoch: [76][9980/10010] Time 0.326 (0.328) Data 0.001 (0.001) Loss 1.4699 (1.3657) Prec@1 63.281 (68.287) Prec@5 85.938 (86.843) Epoch: [76][9990/10010] Time 0.344 (0.328) Data 0.000 (0.001) Loss 1.2604 (1.3657) Prec@1 69.531 (68.287) Prec@5 87.500 (86.843) Epoch: [76][10000/10010] Time 0.332 (0.328) Data 0.000 (0.001) Loss 1.2017 (1.3657) Prec@1 71.094 (68.287) Prec@5 90.625 (86.842) Test: [0/391] Time 1.489 (1.489) Loss 0.6609 (0.6609) Prec@1 83.594 (83.594) Prec@5 96.094 (96.094) Test: [10/391] Time 0.106 (0.238) Loss 1.1582 (0.6273) Prec@1 71.875 (83.665) Prec@5 91.406 (95.526) Test: [20/391] Time 0.099 (0.174) Loss 0.8136 (0.8769) Prec@1 77.344 (77.269) Prec@5 92.969 (93.192) Test: [30/391] Time 0.100 (0.151) Loss 1.6794 (1.0108) Prec@1 64.844 (73.916) Prec@5 86.719 (92.238) Test: [40/391] Time 0.103 (0.140) Loss 0.9489 (0.9142) Prec@1 77.344 (76.334) Prec@5 91.406 (92.912) Test: [50/391] Time 0.103 (0.134) Loss 0.4626 (0.9389) Prec@1 86.719 (76.195) Prec@5 97.656 (92.509) Test: [60/391] Time 0.102 (0.129) Loss 0.8808 (0.8841) Prec@1 80.469 (77.587) Prec@5 93.750 (93.071) Test: [70/391] Time 0.108 (0.126) Loss 1.0334 (0.9142) Prec@1 67.188 (76.452) Prec@5 95.312 (93.090) Test: [80/391] Time 0.111 (0.124) Loss 0.8866 (0.9298) Prec@1 81.250 (75.810) Prec@5 94.531 (93.133) Test: [90/391] Time 0.103 (0.122) Loss 1.1160 (0.9339) Prec@1 59.375 (75.644) Prec@5 94.531 (93.201) Test: [100/391] Time 0.103 (0.121) Loss 0.6933 (0.9277) Prec@1 80.469 (75.487) Prec@5 96.094 (93.417) Test: [110/391] Time 0.101 (0.119) Loss 1.2015 (0.9306) Prec@1 52.344 (75.232) Prec@5 95.312 (93.546) Test: [120/391] Time 0.103 (0.118) Loss 0.7689 (0.9263) Prec@1 82.031 (75.575) Prec@5 96.875 (93.608) Test: [130/391] Time 0.102 (0.118) Loss 0.4092 (0.9181) Prec@1 92.188 (75.871) Prec@5 97.656 (93.684) Test: [140/391] Time 0.103 (0.117) Loss 1.1694 (0.9180) Prec@1 66.406 (75.731) Prec@5 92.969 (93.728) Test: [150/391] Time 0.096 (0.116) Loss 0.8923 (0.9228) Prec@1 70.312 (75.766) Prec@5 92.969 (93.559) Test: [160/391] Time 0.106 (0.115) Loss 0.9463 (0.9275) Prec@1 74.219 (75.689) Prec@5 93.750 (93.517) Test: [170/391] Time 0.107 (0.115) Loss 1.6251 (0.9568) Prec@1 55.469 (75.091) Prec@5 88.281 (93.142) Test: [180/391] Time 0.102 (0.115) Loss 1.8891 (0.9906) Prec@1 53.125 (74.422) Prec@5 86.719 (92.675) Test: [190/391] Time 0.110 (0.114) Loss 2.0229 (1.0243) Prec@1 55.469 (73.687) Prec@5 82.031 (92.245) Test: [200/391] Time 0.107 (0.114) Loss 1.1500 (1.0553) Prec@1 67.969 (73.092) Prec@5 91.406 (91.845) Test: [210/391] Time 0.104 (0.114) Loss 1.4601 (1.0719) Prec@1 68.750 (72.778) Prec@5 86.719 (91.643) Test: [220/391] Time 0.099 (0.113) Loss 0.6100 (1.0814) Prec@1 84.375 (72.628) Prec@5 96.094 (91.431) Test: [230/391] Time 0.110 (0.113) Loss 2.0625 (1.0951) Prec@1 54.688 (72.403) Prec@5 83.594 (91.251) Test: [240/391] Time 0.171 (0.113) Loss 1.4270 (1.1036) Prec@1 75.000 (72.339) Prec@5 82.812 (91.108) Test: [250/391] Time 0.102 (0.113) Loss 0.8160 (1.1282) Prec@1 82.812 (71.760) Prec@5 89.844 (90.796) Test: [260/391] Time 0.105 (0.112) Loss 1.3916 (1.1442) Prec@1 67.969 (71.417) Prec@5 85.156 (90.604) Test: [270/391] Time 0.109 (0.112) Loss 2.0722 (1.1557) Prec@1 53.906 (71.209) Prec@5 81.250 (90.443) Test: [280/391] Time 0.103 (0.112) Loss 1.4142 (1.1625) Prec@1 58.594 (71.077) Prec@5 89.844 (90.355) Test: [290/391] Time 0.104 (0.112) Loss 1.5485 (1.1741) Prec@1 49.219 (70.860) Prec@5 90.625 (90.161) Test: [300/391] Time 0.107 (0.111) Loss 1.2294 (1.1829) Prec@1 79.688 (70.710) Prec@5 88.281 (90.044) Test: [310/391] Time 0.108 (0.111) Loss 1.4499 (1.1921) Prec@1 66.406 (70.574) Prec@5 85.938 (89.886) Test: [320/391] Time 0.109 (0.111) Loss 0.8802 (1.1988) Prec@1 82.031 (70.473) Prec@5 93.750 (89.812) Test: [330/391] Time 0.107 (0.111) Loss 1.7682 (1.2183) Prec@1 58.594 (70.055) Prec@5 82.031 (89.551) Test: [340/391] Time 0.104 (0.111) Loss 1.1573 (1.2236) Prec@1 60.938 (69.921) Prec@5 93.750 (89.491) Test: [350/391] Time 0.103 (0.111) Loss 1.3109 (1.2286) Prec@1 67.188 (69.870) Prec@5 89.844 (89.416) Test: [360/391] Time 0.111 (0.111) Loss 1.4060 (1.2366) Prec@1 63.281 (69.735) Prec@5 89.844 (89.365) Test: [370/391] Time 0.107 (0.111) Loss 1.0711 (1.2312) Prec@1 68.750 (69.799) Prec@5 95.312 (89.450) Test: [380/391] Time 0.107 (0.111) Loss 1.0030 (1.2348) Prec@1 76.562 (69.728) Prec@5 94.531 (89.403) Test: [390/391] Time 0.073 (0.110) Loss 1.9842 (1.2292) Prec@1 42.500 (69.864) Prec@5 81.250 (89.468) * Prec@1 69.864 Prec@5 89.468 Epoch: [77][0/10010] Time 3.210 (3.210) Data 3.044 (3.044) Loss 1.3924 (1.3924) Prec@1 62.500 (62.500) Prec@5 82.031 (82.031) Epoch: [77][10/10010] Time 0.320 (0.579) Data 0.000 (0.277) Loss 1.3250 (1.3544) Prec@1 69.531 (68.395) Prec@5 87.500 (86.364) Epoch: [77][20/10010] Time 0.318 (0.454) Data 0.001 (0.146) Loss 1.2563 (1.3310) Prec@1 73.438 (69.196) Prec@5 90.625 (87.351) Epoch: [77][30/10010] Time 0.316 (0.410) Data 0.001 (0.099) Loss 1.4915 (1.3662) Prec@1 67.188 (68.145) Prec@5 84.375 (86.794) Epoch: [77][40/10010] Time 0.317 (0.387) Data 0.001 (0.075) Loss 1.3753 (1.3607) Prec@1 70.312 (68.559) Prec@5 86.719 (86.719) Epoch: [77][50/10010] Time 0.330 (0.374) Data 0.000 (0.060) Loss 1.5995 (1.3673) Prec@1 61.719 (68.229) Prec@5 82.031 (86.780) Epoch: [77][60/10010] Time 0.330 (0.367) Data 0.001 (0.051) Loss 1.1115 (1.3646) Prec@1 75.781 (68.443) Prec@5 90.625 (86.796) Epoch: [77][70/10010] Time 0.316 (0.360) Data 0.001 (0.043) Loss 1.5665 (1.3735) Prec@1 62.500 (68.288) Prec@5 85.938 (86.543) Epoch: [77][80/10010] Time 0.330 (0.356) Data 0.000 (0.038) Loss 1.5882 (1.3779) Prec@1 64.844 (68.210) Prec@5 82.031 (86.478) Epoch: [77][90/10010] Time 0.328 (0.352) Data 0.001 (0.034) Loss 1.4308 (1.3792) Prec@1 67.188 (68.132) Prec@5 85.156 (86.315) Epoch: [77][100/10010] Time 0.333 (0.350) Data 0.001 (0.031) Loss 1.4729 (1.3830) Prec@1 68.750 (68.123) Prec@5 85.938 (86.371) Epoch: [77][110/10010] Time 0.326 (0.348) Data 0.001 (0.028) Loss 1.3438 (1.3808) Prec@1 67.969 (68.131) Prec@5 85.938 (86.444) Epoch: [77][120/10010] Time 0.315 (0.346) Data 0.001 (0.026) Loss 1.3069 (1.3767) Prec@1 74.219 (68.117) Prec@5 89.844 (86.544) Epoch: [77][130/10010] Time 0.321 (0.345) Data 0.001 (0.024) Loss 1.1513 (1.3768) Prec@1 74.219 (68.237) Prec@5 89.844 (86.635) Epoch: [77][140/10010] Time 0.319 (0.343) Data 0.001 (0.022) Loss 1.1428 (1.3750) Prec@1 70.312 (68.229) Prec@5 89.844 (86.691) Epoch: [77][150/10010] Time 0.325 (0.342) Data 0.001 (0.021) Loss 1.4338 (1.3690) Prec@1 64.844 (68.290) Prec@5 84.375 (86.755) Epoch: [77][160/10010] Time 0.324 (0.341) Data 0.001 (0.020) Loss 1.1713 (1.3648) Prec@1 74.219 (68.236) Prec@5 89.844 (86.879) Epoch: [77][170/10010] Time 0.331 (0.339) Data 0.000 (0.018) Loss 1.4282 (1.3641) Prec@1 69.531 (68.252) Prec@5 87.500 (86.883) Epoch: [77][180/10010] Time 0.321 (0.339) Data 0.001 (0.017) Loss 1.3314 (1.3644) Prec@1 64.844 (68.318) Prec@5 86.719 (86.853) Epoch: [77][190/10010] Time 0.319 (0.338) Data 0.000 (0.017) Loss 1.2662 (1.3619) Prec@1 66.406 (68.304) Prec@5 85.156 (86.923) Epoch: [77][200/10010] Time 0.326 (0.337) Data 0.001 (0.016) Loss 1.3900 (1.3694) Prec@1 71.094 (68.167) Prec@5 87.500 (86.855) Epoch: [77][210/10010] Time 0.322 (0.337) Data 0.000 (0.015) Loss 1.5683 (1.3705) Prec@1 64.844 (68.150) Prec@5 82.031 (86.808) Epoch: [77][220/10010] Time 0.313 (0.336) Data 0.001 (0.014) Loss 1.4780 (1.3722) Prec@1 68.750 (68.138) Prec@5 85.156 (86.775) Epoch: [77][230/10010] Time 0.334 (0.336) Data 0.000 (0.014) Loss 1.5554 (1.3715) Prec@1 65.625 (68.185) Prec@5 84.375 (86.759) Epoch: [77][240/10010] Time 0.338 (0.336) Data 0.000 (0.013) Loss 1.3518 (1.3698) Prec@1 65.625 (68.150) Prec@5 87.500 (86.787) Epoch: [77][250/10010] Time 0.321 (0.335) Data 0.001 (0.013) Loss 1.2001 (1.3681) Prec@1 75.000 (68.193) Prec@5 89.062 (86.843) Epoch: [77][260/10010] Time 0.317 (0.335) Data 0.001 (0.012) Loss 1.4200 (1.3663) Prec@1 64.062 (68.208) Prec@5 83.594 (86.844) Epoch: [77][270/10010] Time 0.336 (0.335) Data 0.001 (0.012) Loss 1.3943 (1.3665) Prec@1 67.969 (68.220) Prec@5 86.719 (86.848) Epoch: [77][280/10010] Time 0.315 (0.335) Data 0.000 (0.011) Loss 1.3279 (1.3649) Prec@1 68.750 (68.186) Prec@5 85.156 (86.861) Epoch: [77][290/10010] Time 0.325 (0.334) Data 0.001 (0.011) Loss 1.5484 (1.3654) Prec@1 67.188 (68.216) Prec@5 85.156 (86.815) Epoch: [77][300/10010] Time 0.309 (0.334) Data 0.001 (0.011) Loss 1.4690 (1.3661) Prec@1 71.094 (68.226) Prec@5 85.938 (86.786) Epoch: [77][310/10010] Time 0.323 (0.333) Data 0.000 (0.010) Loss 1.3394 (1.3650) Prec@1 70.312 (68.248) Prec@5 86.719 (86.802) Epoch: [77][320/10010] Time 0.340 (0.333) Data 0.000 (0.010) Loss 1.5458 (1.3632) Prec@1 60.938 (68.241) Prec@5 85.938 (86.840) Epoch: [77][330/10010] Time 0.319 (0.333) Data 0.001 (0.010) Loss 1.2240 (1.3606) Prec@1 67.969 (68.252) Prec@5 89.062 (86.872) Epoch: [77][340/10010] Time 0.322 (0.333) Data 0.001 (0.010) Loss 1.4389 (1.3607) Prec@1 63.281 (68.257) Prec@5 85.938 (86.847) Epoch: [77][350/10010] Time 0.331 (0.333) Data 0.001 (0.009) Loss 1.5491 (1.3612) Prec@1 71.094 (68.265) Prec@5 85.156 (86.852) Epoch: [77][360/10010] Time 0.323 (0.332) Data 0.001 (0.009) Loss 1.4515 (1.3599) Prec@1 62.500 (68.259) Prec@5 88.281 (86.864) Epoch: [77][370/10010] Time 0.336 (0.332) Data 0.001 (0.009) Loss 1.7004 (1.3607) Prec@1 58.594 (68.247) Prec@5 82.812 (86.839) Epoch: [77][380/10010] Time 0.328 (0.332) Data 0.001 (0.009) Loss 1.3286 (1.3587) Prec@1 70.312 (68.295) Prec@5 84.375 (86.864) Epoch: [77][390/10010] Time 0.320 (0.332) Data 0.001 (0.008) Loss 1.6505 (1.3586) Prec@1 64.844 (68.270) Prec@5 82.031 (86.875) Epoch: [77][400/10010] Time 0.338 (0.332) Data 0.000 (0.008) Loss 1.4357 (1.3573) Prec@1 71.094 (68.292) Prec@5 82.812 (86.873) Epoch: [77][410/10010] Time 0.339 (0.332) Data 0.000 (0.008) Loss 1.4888 (1.3575) Prec@1 67.969 (68.298) Prec@5 84.375 (86.842) Epoch: [77][420/10010] Time 0.325 (0.332) Data 0.001 (0.008) Loss 1.4290 (1.3570) Prec@1 68.750 (68.321) Prec@5 87.500 (86.851) Epoch: [77][430/10010] Time 0.331 (0.332) Data 0.000 (0.008) Loss 1.0584 (1.3548) Prec@1 67.969 (68.369) Prec@5 90.625 (86.884) Epoch: [77][440/10010] Time 0.338 (0.332) Data 0.000 (0.008) Loss 1.3593 (1.3534) Prec@1 65.625 (68.390) Prec@5 89.062 (86.907) Epoch: [77][450/10010] Time 0.325 (0.331) Data 0.001 (0.007) Loss 1.4972 (1.3551) Prec@1 63.281 (68.345) Prec@5 84.375 (86.880) Epoch: [77][460/10010] Time 0.317 (0.331) Data 0.001 (0.007) Loss 1.3775 (1.3554) Prec@1 65.625 (68.326) Prec@5 89.062 (86.892) Epoch: [77][470/10010] Time 0.333 (0.331) Data 0.001 (0.007) Loss 1.3536 (1.3548) Prec@1 71.094 (68.344) Prec@5 85.938 (86.905) Epoch: [77][480/10010] Time 0.335 (0.331) Data 0.000 (0.007) Loss 1.4064 (1.3538) Prec@1 67.188 (68.370) Prec@5 86.719 (86.940) Epoch: [77][490/10010] Time 0.348 (0.331) Data 0.001 (0.007) Loss 1.2718 (1.3542) Prec@1 72.656 (68.398) Prec@5 88.281 (86.927) Epoch: [77][500/10010] Time 0.338 (0.331) Data 0.001 (0.007) Loss 1.1252 (1.3537) Prec@1 75.781 (68.433) Prec@5 89.062 (86.925) Epoch: [77][510/10010] Time 0.317 (0.331) Data 0.001 (0.007) Loss 1.2555 (1.3549) Prec@1 67.188 (68.409) Prec@5 87.500 (86.907) Epoch: [77][520/10010] Time 0.336 (0.331) Data 0.001 (0.006) Loss 1.4249 (1.3542) Prec@1 67.969 (68.423) Prec@5 87.500 (86.921) Epoch: [77][530/10010] Time 0.331 (0.331) Data 0.001 (0.006) Loss 1.2316 (1.3548) Prec@1 71.875 (68.426) Prec@5 88.281 (86.892) Epoch: [77][540/10010] Time 0.333 (0.331) Data 0.001 (0.006) Loss 1.5168 (1.3543) Prec@1 67.969 (68.437) Prec@5 83.594 (86.889) Epoch: [77][550/10010] Time 0.337 (0.331) Data 0.001 (0.006) Loss 1.3348 (1.3528) Prec@1 68.750 (68.475) Prec@5 86.719 (86.914) Epoch: [77][560/10010] Time 0.331 (0.331) Data 0.001 (0.006) Loss 0.9692 (1.3511) Prec@1 78.125 (68.495) Prec@5 90.625 (86.950) Epoch: [77][570/10010] Time 0.338 (0.331) Data 0.000 (0.006) Loss 1.2168 (1.3519) Prec@1 70.312 (68.453) Prec@5 87.500 (86.928) Epoch: [77][580/10010] Time 0.319 (0.331) Data 0.000 (0.006) Loss 1.2282 (1.3516) Prec@1 71.094 (68.469) Prec@5 89.844 (86.934) Epoch: [77][590/10010] Time 0.337 (0.330) Data 0.001 (0.006) Loss 1.4379 (1.3517) Prec@1 67.188 (68.451) Prec@5 84.375 (86.941) Epoch: [77][600/10010] Time 0.318 (0.330) Data 0.001 (0.006) Loss 1.3083 (1.3522) Prec@1 68.750 (68.447) Prec@5 90.625 (86.935) Epoch: [77][610/10010] Time 0.312 (0.330) Data 0.001 (0.006) Loss 1.2543 (1.3533) Prec@1 71.875 (68.439) Prec@5 91.406 (86.944) Epoch: [77][620/10010] Time 0.335 (0.330) Data 0.001 (0.006) Loss 1.2242 (1.3533) Prec@1 75.781 (68.449) Prec@5 89.062 (86.931) Epoch: [77][630/10010] Time 0.314 (0.330) Data 0.001 (0.005) Loss 1.3792 (1.3529) Prec@1 62.500 (68.438) Prec@5 89.062 (86.955) Epoch: [77][640/10010] Time 0.341 (0.330) Data 0.000 (0.005) Loss 1.4490 (1.3524) Prec@1 61.719 (68.461) Prec@5 86.719 (86.960) Epoch: [77][650/10010] Time 0.313 (0.330) Data 0.001 (0.005) Loss 1.5874 (1.3513) Prec@1 65.625 (68.478) Prec@5 83.594 (86.962) Epoch: [77][660/10010] Time 0.333 (0.330) Data 0.000 (0.005) Loss 1.3793 (1.3500) Prec@1 72.656 (68.524) Prec@5 82.812 (86.981) Epoch: [77][670/10010] Time 0.330 (0.330) Data 0.001 (0.005) Loss 1.3009 (1.3507) Prec@1 70.312 (68.501) Prec@5 88.281 (86.970) Epoch: [77][680/10010] Time 0.337 (0.330) Data 0.001 (0.005) Loss 1.4889 (1.3520) Prec@1 66.406 (68.486) Prec@5 83.594 (86.950) Epoch: [77][690/10010] Time 0.324 (0.330) Data 0.000 (0.005) Loss 1.2051 (1.3510) Prec@1 72.656 (68.489) Prec@5 88.281 (86.967) Epoch: [77][700/10010] Time 0.324 (0.330) Data 0.001 (0.005) Loss 1.4066 (1.3517) Prec@1 67.188 (68.477) Prec@5 84.375 (86.957) Epoch: [77][710/10010] Time 0.313 (0.330) Data 0.001 (0.005) Loss 1.3527 (1.3519) Prec@1 68.750 (68.472) Prec@5 85.156 (86.949) Epoch: [77][720/10010] Time 0.334 (0.330) Data 0.000 (0.005) Loss 1.4613 (1.3523) Prec@1 67.969 (68.470) Prec@5 85.156 (86.939) Epoch: [77][730/10010] Time 0.319 (0.330) Data 0.000 (0.005) Loss 1.3587 (1.3513) Prec@1 69.531 (68.497) Prec@5 85.938 (86.971) Epoch: [77][740/10010] Time 0.327 (0.330) Data 0.001 (0.005) Loss 1.4788 (1.3517) Prec@1 62.500 (68.494) Prec@5 89.062 (86.975) Epoch: [77][750/10010] Time 0.316 (0.330) Data 0.001 (0.005) Loss 1.2334 (1.3519) Prec@1 67.969 (68.483) Prec@5 85.156 (86.963) Epoch: [77][760/10010] Time 0.323 (0.330) Data 0.001 (0.005) Loss 1.0825 (1.3527) Prec@1 77.344 (68.451) Prec@5 89.844 (86.949) Epoch: [77][770/10010] Time 0.340 (0.329) Data 0.000 (0.005) Loss 1.2163 (1.3515) Prec@1 75.000 (68.489) Prec@5 86.719 (86.969) Epoch: [77][780/10010] Time 0.340 (0.329) Data 0.000 (0.005) Loss 1.4166 (1.3511) Prec@1 68.750 (68.480) Prec@5 85.938 (86.980) Epoch: [77][790/10010] Time 0.321 (0.329) Data 0.001 (0.004) Loss 1.2472 (1.3504) Prec@1 71.094 (68.501) Prec@5 86.719 (86.992) Epoch: [77][800/10010] Time 0.334 (0.329) Data 0.001 (0.004) Loss 1.3909 (1.3510) Prec@1 67.188 (68.474) Prec@5 86.719 (86.984) Epoch: [77][810/10010] Time 0.315 (0.329) Data 0.001 (0.004) Loss 1.2043 (1.3505) Prec@1 68.750 (68.489) Prec@5 91.406 (86.991) Epoch: [77][820/10010] Time 0.319 (0.329) Data 0.001 (0.004) Loss 1.4454 (1.3521) Prec@1 65.625 (68.445) Prec@5 84.375 (86.972) Epoch: [77][830/10010] Time 0.326 (0.329) Data 0.000 (0.004) Loss 1.3130 (1.3526) Prec@1 75.781 (68.431) Prec@5 85.156 (86.965) Epoch: [77][840/10010] Time 0.335 (0.329) Data 0.000 (0.004) Loss 1.1372 (1.3516) Prec@1 73.438 (68.443) Prec@5 89.844 (86.983) Epoch: [77][850/10010] Time 0.318 (0.329) Data 0.000 (0.004) Loss 1.4277 (1.3518) Prec@1 68.750 (68.450) Prec@5 83.594 (86.972) Epoch: [77][860/10010] Time 0.328 (0.329) Data 0.001 (0.004) Loss 1.7473 (1.3525) Prec@1 62.500 (68.433) Prec@5 79.688 (86.962) Epoch: [77][870/10010] Time 0.328 (0.329) Data 0.000 (0.004) Loss 1.4072 (1.3521) Prec@1 64.844 (68.440) Prec@5 89.844 (86.975) Epoch: [77][880/10010] Time 0.333 (0.329) Data 0.001 (0.004) Loss 1.4725 (1.3538) Prec@1 65.625 (68.406) Prec@5 82.812 (86.959) Epoch: [77][890/10010] Time 0.328 (0.329) Data 0.000 (0.004) Loss 1.4512 (1.3541) Prec@1 61.719 (68.391) Prec@5 82.031 (86.952) Epoch: [77][900/10010] Time 0.336 (0.329) Data 0.001 (0.004) Loss 1.4083 (1.3539) Prec@1 68.750 (68.394) Prec@5 84.375 (86.951) Epoch: [77][910/10010] Time 0.330 (0.329) Data 0.000 (0.004) Loss 1.1988 (1.3543) Prec@1 70.312 (68.395) Prec@5 90.625 (86.941) Epoch: [77][920/10010] Time 0.325 (0.329) Data 0.001 (0.004) Loss 1.0504 (1.3534) Prec@1 75.781 (68.412) Prec@5 90.625 (86.952) Epoch: [77][930/10010] Time 0.316 (0.329) Data 0.000 (0.004) Loss 1.3322 (1.3528) Prec@1 72.656 (68.421) Prec@5 86.719 (86.953) Epoch: [77][940/10010] Time 0.317 (0.329) Data 0.001 (0.004) Loss 1.2112 (1.3531) Prec@1 67.188 (68.425) Prec@5 91.406 (86.952) /data/vision/torralba/deepscene/lib/anaconda2/lib/python2.7/site-packages/PIL/TiffImagePlugin.py:692: UserWarning: Possibly corrupt EXIF data. Expecting to read 19660800 bytes but only got 0. Skipping tag 0 "Skipping tag %s" % (size, len(data), tag)) /data/vision/torralba/deepscene/lib/anaconda2/lib/python2.7/site-packages/PIL/TiffImagePlugin.py:692: UserWarning: Possibly corrupt EXIF data. Expecting to read 18481152 bytes but only got 0. Skipping tag 0 "Skipping tag %s" % (size, len(data), tag)) /data/vision/torralba/deepscene/lib/anaconda2/lib/python2.7/site-packages/PIL/TiffImagePlugin.py:692: UserWarning: Possibly corrupt EXIF data. Expecting to read 37093376 bytes but only got 0. Skipping tag 0 "Skipping tag %s" % (size, len(data), tag)) /data/vision/torralba/deepscene/lib/anaconda2/lib/python2.7/site-packages/PIL/TiffImagePlugin.py:692: UserWarning: Possibly corrupt EXIF data. Expecting to read 39976960 bytes but only got 0. Skipping tag 0 "Skipping tag %s" % (size, len(data), tag)) /data/vision/torralba/deepscene/lib/anaconda2/lib/python2.7/site-packages/PIL/TiffImagePlugin.py:692: UserWarning: Possibly corrupt EXIF data. Expecting to read 34865152 bytes but only got 0. Skipping tag 0 "Skipping tag %s" % (size, len(data), tag)) /data/vision/torralba/deepscene/lib/anaconda2/lib/python2.7/site-packages/PIL/TiffImagePlugin.py:709: UserWarning: Corrupt EXIF data. Expecting to read 12 bytes but only got 10. warnings.warn(str(msg)) Epoch: [77][950/10010] Time 0.314 (0.328) Data 0.001 (0.004) Loss 1.2675 (1.3525) Prec@1 71.094 (68.449) Prec@5 89.844 (86.966) Epoch: [77][960/10010] Time 0.324 (0.328) Data 0.001 (0.004) Loss 1.1606 (1.3523) Prec@1 71.875 (68.455) Prec@5 90.625 (86.971) Epoch: [77][970/10010] Time 0.339 (0.328) Data 0.001 (0.004) Loss 1.4382 (1.3519) Prec@1 64.844 (68.464) Prec@5 84.375 (86.975) Epoch: [77][980/10010] Time 0.325 (0.328) Data 0.001 (0.004) Loss 1.3996 (1.3521) Prec@1 62.500 (68.443) Prec@5 88.281 (86.963) Epoch: [77][990/10010] Time 0.336 (0.328) Data 0.001 (0.004) Loss 1.3068 (1.3519) Prec@1 69.531 (68.450) Prec@5 87.500 (86.975) Epoch: [77][1000/10010] Time 0.340 (0.328) Data 0.001 (0.004) Loss 1.4311 (1.3520) Prec@1 64.844 (68.437) Prec@5 85.156 (86.973) Epoch: [77][1010/10010] Time 0.328 (0.328) Data 0.001 (0.004) Loss 1.3122 (1.3519) Prec@1 72.656 (68.442) Prec@5 89.062 (86.978) Epoch: [77][1020/10010] Time 0.326 (0.328) Data 0.000 (0.004) Loss 1.5893 (1.3510) Prec@1 64.844 (68.459) Prec@5 83.594 (86.997) Epoch: [77][1030/10010] Time 0.332 (0.328) Data 0.001 (0.004) Loss 1.2697 (1.3510) Prec@1 71.094 (68.453) Prec@5 89.062 (86.995) Epoch: [77][1040/10010] Time 0.325 (0.328) Data 0.000 (0.004) Loss 1.4685 (1.3511) Prec@1 71.094 (68.445) Prec@5 83.594 (86.999) Epoch: [77][1050/10010] Time 0.327 (0.328) Data 0.000 (0.004) Loss 1.5864 (1.3509) Prec@1 63.281 (68.453) Prec@5 82.812 (86.999) Epoch: [77][1060/10010] Time 0.319 (0.328) Data 0.001 (0.004) Loss 1.5910 (1.3512) Prec@1 60.938 (68.454) Prec@5 85.156 (86.995) Epoch: [77][1070/10010] Time 0.336 (0.328) Data 0.001 (0.003) Loss 1.2915 (1.3513) Prec@1 71.875 (68.457) Prec@5 87.500 (86.994) Epoch: [77][1080/10010] Time 0.336 (0.328) Data 0.001 (0.003) Loss 1.1467 (1.3507) Prec@1 71.875 (68.481) Prec@5 89.844 (86.996) Epoch: [77][1090/10010] Time 0.317 (0.328) Data 0.001 (0.003) Loss 1.2636 (1.3508) Prec@1 76.562 (68.488) Prec@5 88.281 (86.993) Epoch: [77][1100/10010] Time 0.336 (0.328) Data 0.000 (0.003) Loss 1.4097 (1.3511) Prec@1 62.500 (68.465) Prec@5 85.156 (86.993) Epoch: [77][1110/10010] Time 0.314 (0.328) Data 0.000 (0.003) Loss 1.5402 (1.3512) Prec@1 69.531 (68.457) Prec@5 84.375 (86.989) Epoch: [77][1120/10010] Time 0.318 (0.328) Data 0.001 (0.003) Loss 1.4012 (1.3517) Prec@1 67.188 (68.446) Prec@5 85.156 (86.976) Epoch: [77][1130/10010] Time 0.331 (0.328) Data 0.001 (0.003) Loss 1.4976 (1.3522) Prec@1 65.625 (68.434) Prec@5 83.594 (86.969) Epoch: [77][1140/10010] Time 0.335 (0.328) Data 0.001 (0.003) Loss 1.2746 (1.3520) Prec@1 69.531 (68.437) Prec@5 85.156 (86.976) Epoch: [77][1150/10010] Time 0.314 (0.328) Data 0.001 (0.003) Loss 1.3662 (1.3519) Prec@1 70.312 (68.445) Prec@5 84.375 (86.980) Epoch: [77][1160/10010] Time 0.339 (0.328) Data 0.001 (0.003) Loss 1.3031 (1.3515) Prec@1 70.312 (68.456) Prec@5 89.844 (86.986) Epoch: [77][1170/10010] Time 0.339 (0.328) Data 0.001 (0.003) Loss 1.5539 (1.3522) Prec@1 66.406 (68.435) Prec@5 84.375 (86.977) Epoch: [77][1180/10010] Time 0.323 (0.328) Data 0.001 (0.003) Loss 1.4774 (1.3522) Prec@1 63.281 (68.440) Prec@5 86.719 (86.981) Epoch: [77][1190/10010] Time 0.318 (0.328) Data 0.001 (0.003) Loss 1.5321 (1.3525) Prec@1 63.281 (68.429) Prec@5 82.812 (86.971) Epoch: [77][1200/10010] Time 0.343 (0.328) Data 0.000 (0.003) Loss 1.1555 (1.3524) Prec@1 71.094 (68.431) Prec@5 91.406 (86.968) Epoch: [77][1210/10010] Time 0.333 (0.328) Data 0.001 (0.003) Loss 1.5774 (1.3529) Prec@1 64.844 (68.426) Prec@5 84.375 (86.961) Epoch: [77][1220/10010] Time 0.333 (0.328) Data 0.001 (0.003) Loss 1.6515 (1.3539) Prec@1 65.625 (68.416) Prec@5 84.375 (86.951) Epoch: [77][1230/10010] Time 0.342 (0.328) Data 0.000 (0.003) Loss 1.3156 (1.3544) Prec@1 67.969 (68.403) Prec@5 87.500 (86.941) Epoch: [77][1240/10010] Time 0.318 (0.328) Data 0.000 (0.003) Loss 1.4605 (1.3539) Prec@1 64.844 (68.418) Prec@5 85.938 (86.944) Epoch: [77][1250/10010] Time 0.333 (0.328) Data 0.000 (0.003) Loss 1.1577 (1.3550) Prec@1 73.438 (68.390) Prec@5 88.281 (86.930) Epoch: [77][1260/10010] Time 0.318 (0.328) Data 0.000 (0.003) Loss 1.5535 (1.3549) Prec@1 60.938 (68.394) Prec@5 85.156 (86.926) Epoch: [77][1270/10010] Time 0.344 (0.328) Data 0.000 (0.003) Loss 1.4488 (1.3550) Prec@1 67.188 (68.395) Prec@5 86.719 (86.922) Epoch: [77][1280/10010] Time 0.331 (0.328) Data 0.000 (0.003) Loss 1.3286 (1.3554) Prec@1 70.312 (68.382) Prec@5 84.375 (86.914) Epoch: [77][1290/10010] Time 0.315 (0.328) Data 0.001 (0.003) Loss 1.3043 (1.3550) Prec@1 75.781 (68.392) Prec@5 88.281 (86.925) Epoch: [77][1300/10010] Time 0.338 (0.328) Data 0.001 (0.003) Loss 1.2791 (1.3550) Prec@1 71.094 (68.393) Prec@5 88.281 (86.929) Epoch: [77][1310/10010] Time 0.319 (0.328) Data 0.000 (0.003) Loss 1.6731 (1.3556) Prec@1 64.062 (68.378) Prec@5 82.031 (86.920) Epoch: [77][1320/10010] Time 0.340 (0.328) Data 0.001 (0.003) Loss 1.2045 (1.3552) Prec@1 71.094 (68.395) Prec@5 89.062 (86.927) Epoch: [77][1330/10010] Time 0.318 (0.328) Data 0.001 (0.003) Loss 1.4009 (1.3549) Prec@1 67.188 (68.397) Prec@5 86.719 (86.930) Epoch: [77][1340/10010] Time 0.331 (0.328) Data 0.001 (0.003) Loss 1.3764 (1.3549) Prec@1 70.312 (68.406) Prec@5 88.281 (86.934) Epoch: [77][1350/10010] Time 0.328 (0.328) Data 0.001 (0.003) Loss 1.5944 (1.3555) Prec@1 64.844 (68.405) Prec@5 85.156 (86.929) Epoch: [77][1360/10010] Time 0.334 (0.328) Data 0.001 (0.003) Loss 1.1327 (1.3559) Prec@1 75.000 (68.405) Prec@5 91.406 (86.927) Epoch: [77][1370/10010] Time 0.312 (0.328) Data 0.001 (0.003) Loss 1.6068 (1.3565) Prec@1 63.281 (68.389) Prec@5 85.156 (86.926) Epoch: [77][1380/10010] Time 0.320 (0.328) Data 0.001 (0.003) Loss 1.3577 (1.3560) Prec@1 68.750 (68.401) Prec@5 87.500 (86.933) Epoch: [77][1390/10010] Time 0.331 (0.328) Data 0.000 (0.003) Loss 1.7916 (1.3569) Prec@1 57.031 (68.375) Prec@5 79.688 (86.920) Epoch: [77][1400/10010] Time 0.333 (0.328) Data 0.001 (0.003) Loss 1.1091 (1.3566) Prec@1 70.312 (68.379) Prec@5 92.969 (86.928) Epoch: [77][1410/10010] Time 0.332 (0.328) Data 0.001 (0.003) Loss 1.3726 (1.3565) Prec@1 63.281 (68.371) Prec@5 90.625 (86.931) Epoch: [77][1420/10010] Time 0.328 (0.328) Data 0.000 (0.003) Loss 1.3637 (1.3559) Prec@1 72.656 (68.390) Prec@5 85.938 (86.942) Epoch: [77][1430/10010] Time 0.331 (0.328) Data 0.000 (0.003) Loss 1.5332 (1.3565) Prec@1 67.188 (68.376) Prec@5 85.938 (86.937) Epoch: [77][1440/10010] Time 0.320 (0.328) Data 0.000 (0.003) Loss 1.4394 (1.3565) Prec@1 71.094 (68.375) Prec@5 84.375 (86.933) Epoch: [77][1450/10010] Time 0.319 (0.328) Data 0.000 (0.003) Loss 1.4323 (1.3560) Prec@1 63.281 (68.387) Prec@5 87.500 (86.944) Epoch: [77][1460/10010] Time 0.318 (0.328) Data 0.000 (0.003) Loss 1.3921 (1.3566) Prec@1 71.875 (68.380) Prec@5 86.719 (86.934) Epoch: [77][1470/10010] Time 0.322 (0.328) Data 0.001 (0.003) Loss 1.4047 (1.3568) Prec@1 64.062 (68.376) Prec@5 89.844 (86.932) Epoch: [77][1480/10010] Time 0.326 (0.328) Data 0.000 (0.003) Loss 1.3783 (1.3575) Prec@1 67.969 (68.365) Prec@5 86.719 (86.924) Epoch: [77][1490/10010] Time 0.333 (0.328) Data 0.001 (0.003) Loss 1.2168 (1.3568) Prec@1 70.312 (68.383) Prec@5 90.625 (86.938) Epoch: [77][1500/10010] Time 0.322 (0.328) Data 0.000 (0.003) Loss 1.2667 (1.3568) Prec@1 70.312 (68.369) Prec@5 86.719 (86.939) Epoch: [77][1510/10010] Time 0.321 (0.328) Data 0.001 (0.003) Loss 1.3940 (1.3562) Prec@1 66.406 (68.387) Prec@5 85.938 (86.946) Epoch: [77][1520/10010] Time 0.318 (0.328) Data 0.001 (0.003) Loss 1.3042 (1.3558) Prec@1 71.875 (68.399) Prec@5 84.375 (86.949) Epoch: [77][1530/10010] Time 0.314 (0.328) Data 0.001 (0.003) Loss 1.2074 (1.3551) Prec@1 66.406 (68.415) Prec@5 89.062 (86.956) Epoch: [77][1540/10010] Time 0.329 (0.328) Data 0.001 (0.003) Loss 1.1731 (1.3548) Prec@1 69.531 (68.411) Prec@5 89.062 (86.959) Epoch: [77][1550/10010] Time 0.314 (0.328) Data 0.001 (0.003) Loss 1.4972 (1.3544) Prec@1 63.281 (68.409) Prec@5 82.812 (86.965) Epoch: [77][1560/10010] Time 0.325 (0.328) Data 0.001 (0.003) Loss 1.1253 (1.3547) Prec@1 74.219 (68.404) Prec@5 89.844 (86.961) Epoch: [77][1570/10010] Time 0.324 (0.328) Data 0.001 (0.003) Loss 1.3483 (1.3548) Prec@1 68.750 (68.401) Prec@5 85.156 (86.965) Epoch: [77][1580/10010] Time 0.326 (0.328) Data 0.000 (0.003) Loss 1.0291 (1.3547) Prec@1 74.219 (68.411) Prec@5 92.969 (86.969) Epoch: [77][1590/10010] Time 0.329 (0.328) Data 0.001 (0.003) Loss 1.2991 (1.3548) Prec@1 66.406 (68.414) Prec@5 89.062 (86.967) Epoch: [77][1600/10010] Time 0.334 (0.328) Data 0.001 (0.003) Loss 1.3607 (1.3552) Prec@1 64.844 (68.404) Prec@5 89.062 (86.962) Epoch: [77][1610/10010] Time 0.336 (0.328) Data 0.000 (0.003) Loss 1.3824 (1.3550) Prec@1 67.188 (68.412) Prec@5 86.719 (86.964) Epoch: [77][1620/10010] Time 0.337 (0.328) Data 0.000 (0.003) Loss 1.3434 (1.3550) Prec@1 68.750 (68.413) Prec@5 85.938 (86.962) Epoch: [77][1630/10010] Time 0.337 (0.328) Data 0.001 (0.003) Loss 1.3344 (1.3552) Prec@1 69.531 (68.401) Prec@5 88.281 (86.961) Epoch: [77][1640/10010] Time 0.317 (0.328) Data 0.001 (0.002) Loss 1.3529 (1.3551) Prec@1 68.750 (68.394) Prec@5 84.375 (86.963) Epoch: [77][1650/10010] Time 0.315 (0.328) Data 0.001 (0.002) Loss 1.4674 (1.3553) Prec@1 69.531 (68.397) Prec@5 85.938 (86.954) Epoch: [77][1660/10010] Time 0.326 (0.328) Data 0.000 (0.002) Loss 1.5378 (1.3551) Prec@1 63.281 (68.408) Prec@5 86.719 (86.952) Epoch: [77][1670/10010] Time 0.338 (0.328) Data 0.000 (0.002) Loss 1.1806 (1.3548) Prec@1 72.656 (68.418) Prec@5 89.844 (86.955) Epoch: [77][1680/10010] Time 0.318 (0.328) Data 0.001 (0.002) Loss 1.2141 (1.3548) Prec@1 71.875 (68.425) Prec@5 89.844 (86.959) Epoch: [77][1690/10010] Time 0.333 (0.328) Data 0.000 (0.002) Loss 1.4037 (1.3548) Prec@1 65.625 (68.428) Prec@5 85.156 (86.958) Epoch: [77][1700/10010] Time 0.317 (0.328) Data 0.001 (0.002) Loss 1.2688 (1.3543) Prec@1 68.750 (68.419) Prec@5 90.625 (86.966) Epoch: [77][1710/10010] Time 0.338 (0.328) Data 0.000 (0.002) Loss 1.5719 (1.3549) Prec@1 67.188 (68.408) Prec@5 85.156 (86.960) Epoch: [77][1720/10010] Time 0.328 (0.328) Data 0.001 (0.002) Loss 1.2565 (1.3549) Prec@1 69.531 (68.409) Prec@5 91.406 (86.957) Epoch: [77][1730/10010] Time 0.311 (0.328) Data 0.001 (0.002) Loss 1.2834 (1.3551) Prec@1 69.531 (68.401) Prec@5 87.500 (86.954) Epoch: [77][1740/10010] Time 0.334 (0.328) Data 0.000 (0.002) Loss 1.3590 (1.3552) Prec@1 71.875 (68.406) Prec@5 83.594 (86.953) Epoch: [77][1750/10010] Time 0.319 (0.328) Data 0.000 (0.002) Loss 1.3284 (1.3551) Prec@1 65.625 (68.409) Prec@5 89.062 (86.956) Epoch: [77][1760/10010] Time 0.341 (0.328) Data 0.000 (0.002) Loss 1.7904 (1.3552) Prec@1 60.938 (68.405) Prec@5 82.031 (86.953) Epoch: [77][1770/10010] Time 0.335 (0.328) Data 0.000 (0.002) Loss 1.0802 (1.3546) Prec@1 73.438 (68.413) Prec@5 90.625 (86.966) Epoch: [77][1780/10010] Time 0.317 (0.328) Data 0.000 (0.002) Loss 1.2297 (1.3546) Prec@1 70.312 (68.415) Prec@5 87.500 (86.962) Epoch: [77][1790/10010] Time 0.327 (0.328) Data 0.001 (0.002) Loss 1.3772 (1.3547) Prec@1 69.531 (68.420) Prec@5 88.281 (86.960) Epoch: [77][1800/10010] Time 0.332 (0.328) Data 0.001 (0.002) Loss 1.3905 (1.3547) Prec@1 71.094 (68.423) Prec@5 85.938 (86.954) Epoch: [77][1810/10010] Time 0.333 (0.328) Data 0.000 (0.002) Loss 1.2331 (1.3550) Prec@1 70.312 (68.417) Prec@5 89.062 (86.951) Epoch: [77][1820/10010] Time 0.326 (0.328) Data 0.001 (0.002) Loss 1.7713 (1.3555) Prec@1 64.844 (68.419) Prec@5 82.031 (86.947) Epoch: [77][1830/10010] Time 0.322 (0.328) Data 0.001 (0.002) Loss 1.2901 (1.3557) Prec@1 70.312 (68.420) Prec@5 88.281 (86.944) Epoch: [77][1840/10010] Time 0.333 (0.328) Data 0.001 (0.002) Loss 1.3245 (1.3557) Prec@1 69.531 (68.419) Prec@5 87.500 (86.948) Epoch: [77][1850/10010] Time 0.329 (0.328) Data 0.001 (0.002) Loss 1.4040 (1.3555) Prec@1 67.969 (68.418) Prec@5 86.719 (86.953) Epoch: [77][1860/10010] Time 0.334 (0.328) Data 0.000 (0.002) Loss 1.4502 (1.3555) Prec@1 64.844 (68.415) Prec@5 89.062 (86.955) Epoch: [77][1870/10010] Time 0.316 (0.328) Data 0.001 (0.002) Loss 1.2126 (1.3554) Prec@1 71.875 (68.418) Prec@5 89.062 (86.958) Epoch: [77][1880/10010] Time 0.317 (0.328) Data 0.001 (0.002) Loss 1.3342 (1.3549) Prec@1 63.281 (68.420) Prec@5 85.156 (86.961) Epoch: [77][1890/10010] Time 0.322 (0.328) Data 0.000 (0.002) Loss 1.4161 (1.3547) Prec@1 71.094 (68.424) Prec@5 85.938 (86.963) Epoch: [77][1900/10010] Time 0.322 (0.328) Data 0.001 (0.002) Loss 1.1988 (1.3546) Prec@1 73.438 (68.434) Prec@5 86.719 (86.968) Epoch: [77][1910/10010] Time 0.339 (0.328) Data 0.001 (0.002) Loss 1.2263 (1.3547) Prec@1 75.781 (68.434) Prec@5 89.062 (86.966) Epoch: [77][1920/10010] Time 0.319 (0.328) Data 0.000 (0.002) Loss 1.6466 (1.3550) Prec@1 63.281 (68.427) Prec@5 82.031 (86.963) Epoch: [77][1930/10010] Time 0.333 (0.328) Data 0.000 (0.002) Loss 1.4060 (1.3551) Prec@1 70.312 (68.428) Prec@5 85.938 (86.959) Epoch: [77][1940/10010] Time 0.315 (0.328) Data 0.001 (0.002) Loss 1.4642 (1.3549) Prec@1 64.844 (68.434) Prec@5 86.719 (86.963) Epoch: [77][1950/10010] Time 0.339 (0.328) Data 0.000 (0.002) Loss 1.2459 (1.3553) Prec@1 73.438 (68.432) Prec@5 87.500 (86.958) Epoch: [77][1960/10010] Time 0.334 (0.328) Data 0.000 (0.002) Loss 1.2737 (1.3549) Prec@1 69.531 (68.437) Prec@5 86.719 (86.961) Epoch: [77][1970/10010] Time 0.339 (0.328) Data 0.000 (0.002) Loss 1.3651 (1.3551) Prec@1 69.531 (68.433) Prec@5 83.594 (86.959) Epoch: [77][1980/10010] Time 0.341 (0.328) Data 0.000 (0.002) Loss 1.2602 (1.3548) Prec@1 72.656 (68.444) Prec@5 86.719 (86.957) Epoch: [77][1990/10010] Time 0.334 (0.328) Data 0.001 (0.002) Loss 1.2689 (1.3549) Prec@1 67.969 (68.445) Prec@5 86.719 (86.958) Epoch: [77][2000/10010] Time 0.321 (0.328) Data 0.001 (0.002) Loss 1.2465 (1.3547) Prec@1 64.062 (68.448) Prec@5 89.062 (86.961) Epoch: [77][2010/10010] Time 0.321 (0.328) Data 0.001 (0.002) Loss 1.4469 (1.3545) Prec@1 66.406 (68.452) Prec@5 85.938 (86.962) Epoch: [77][2020/10010] Time 0.320 (0.328) Data 0.000 (0.002) Loss 1.4640 (1.3546) Prec@1 66.406 (68.453) Prec@5 85.156 (86.964) Epoch: [77][2030/10010] Time 0.319 (0.328) Data 0.000 (0.002) Loss 1.1002 (1.3545) Prec@1 71.875 (68.455) Prec@5 91.406 (86.962) Epoch: [77][2040/10010] Time 0.339 (0.328) Data 0.000 (0.002) Loss 1.4266 (1.3546) Prec@1 69.531 (68.451) Prec@5 82.812 (86.959) Epoch: [77][2050/10010] Time 0.328 (0.328) Data 0.000 (0.002) Loss 1.6605 (1.3549) Prec@1 63.281 (68.451) Prec@5 82.031 (86.959) Epoch: [77][2060/10010] Time 0.335 (0.328) Data 0.001 (0.002) Loss 1.0743 (1.3542) Prec@1 74.219 (68.460) Prec@5 89.062 (86.967) Epoch: [77][2070/10010] Time 0.341 (0.328) Data 0.000 (0.002) Loss 1.0514 (1.3544) Prec@1 78.906 (68.457) Prec@5 90.625 (86.965) Epoch: [77][2080/10010] Time 0.321 (0.328) Data 0.001 (0.002) Loss 1.4106 (1.3549) Prec@1 67.188 (68.446) Prec@5 88.281 (86.960) Epoch: [77][2090/10010] Time 0.330 (0.328) Data 0.001 (0.002) Loss 1.5038 (1.3550) Prec@1 66.406 (68.446) Prec@5 84.375 (86.959) Epoch: [77][2100/10010] Time 0.327 (0.328) Data 0.001 (0.002) Loss 1.2804 (1.3547) Prec@1 67.188 (68.453) Prec@5 89.844 (86.963) Epoch: [77][2110/10010] Time 0.323 (0.328) Data 0.000 (0.002) Loss 1.2425 (1.3544) Prec@1 67.188 (68.459) Prec@5 91.406 (86.969) Epoch: [77][2120/10010] Time 0.332 (0.328) Data 0.000 (0.002) Loss 1.0914 (1.3538) Prec@1 73.438 (68.469) Prec@5 92.188 (86.981) Epoch: [77][2130/10010] Time 0.334 (0.328) Data 0.001 (0.002) Loss 1.3383 (1.3538) Prec@1 69.531 (68.473) Prec@5 86.719 (86.977) Epoch: [77][2140/10010] Time 0.339 (0.328) Data 0.000 (0.002) Loss 1.4868 (1.3539) Prec@1 62.500 (68.464) Prec@5 85.938 (86.980) Epoch: [77][2150/10010] Time 0.323 (0.328) Data 0.000 (0.002) Loss 1.3289 (1.3543) Prec@1 66.406 (68.451) Prec@5 86.719 (86.975) Epoch: [77][2160/10010] Time 0.318 (0.328) Data 0.001 (0.002) Loss 1.2578 (1.3542) Prec@1 70.312 (68.456) Prec@5 88.281 (86.975) Epoch: [77][2170/10010] Time 0.325 (0.328) Data 0.001 (0.002) Loss 1.1387 (1.3540) Prec@1 71.875 (68.460) Prec@5 89.844 (86.979) Epoch: [77][2180/10010] Time 0.314 (0.328) Data 0.001 (0.002) Loss 1.6452 (1.3540) Prec@1 62.500 (68.465) Prec@5 85.156 (86.980) Epoch: [77][2190/10010] Time 0.324 (0.328) Data 0.001 (0.002) Loss 1.4875 (1.3541) Prec@1 67.969 (68.465) Prec@5 81.250 (86.978) Epoch: [77][2200/10010] Time 0.333 (0.328) Data 0.000 (0.002) Loss 1.2382 (1.3542) Prec@1 76.562 (68.466) Prec@5 88.281 (86.975) Epoch: [77][2210/10010] Time 0.326 (0.327) Data 0.000 (0.002) Loss 1.5832 (1.3543) Prec@1 64.062 (68.465) Prec@5 85.938 (86.977) Epoch: [77][2220/10010] Time 0.316 (0.327) Data 0.001 (0.002) Loss 1.1976 (1.3544) Prec@1 69.531 (68.459) Prec@5 86.719 (86.976) Epoch: [77][2230/10010] Time 0.326 (0.327) Data 0.001 (0.002) Loss 1.6211 (1.3548) Prec@1 67.969 (68.457) Prec@5 80.469 (86.969) Epoch: [77][2240/10010] Time 0.331 (0.327) Data 0.001 (0.002) Loss 1.1654 (1.3547) Prec@1 75.000 (68.463) Prec@5 89.844 (86.968) Epoch: [77][2250/10010] Time 0.346 (0.327) Data 0.000 (0.002) Loss 0.8980 (1.3541) Prec@1 78.125 (68.476) Prec@5 93.750 (86.978) Epoch: [77][2260/10010] Time 0.334 (0.327) Data 0.001 (0.002) Loss 1.3292 (1.3539) Prec@1 64.844 (68.485) Prec@5 87.500 (86.980) Epoch: [77][2270/10010] Time 0.337 (0.327) Data 0.000 (0.002) Loss 1.4507 (1.3542) Prec@1 67.969 (68.484) Prec@5 85.938 (86.973) Epoch: [77][2280/10010] Time 0.324 (0.327) Data 0.000 (0.002) Loss 1.2393 (1.3543) Prec@1 75.781 (68.493) Prec@5 89.844 (86.974) Epoch: [77][2290/10010] Time 0.313 (0.327) Data 0.001 (0.002) Loss 1.4186 (1.3538) Prec@1 68.750 (68.501) Prec@5 85.938 (86.982) Epoch: [77][2300/10010] Time 0.329 (0.327) Data 0.001 (0.002) Loss 1.2663 (1.3537) Prec@1 75.000 (68.505) Prec@5 88.281 (86.983) Epoch: [77][2310/10010] Time 0.324 (0.327) Data 0.001 (0.002) Loss 1.3270 (1.3534) Prec@1 69.531 (68.509) Prec@5 89.062 (86.986) Epoch: [77][2320/10010] Time 0.326 (0.327) Data 0.001 (0.002) Loss 1.3039 (1.3533) Prec@1 69.531 (68.507) Prec@5 89.062 (86.988) Epoch: [77][2330/10010] Time 0.314 (0.327) Data 0.001 (0.002) Loss 1.4329 (1.3535) Prec@1 62.500 (68.499) Prec@5 85.156 (86.988) Epoch: [77][2340/10010] Time 0.337 (0.327) Data 0.001 (0.002) Loss 1.4971 (1.3535) Prec@1 62.500 (68.493) Prec@5 81.250 (86.986) Epoch: [77][2350/10010] Time 0.328 (0.327) Data 0.001 (0.002) Loss 1.4616 (1.3534) Prec@1 66.406 (68.495) Prec@5 85.156 (86.989) Epoch: [77][2360/10010] Time 0.322 (0.327) Data 0.001 (0.002) Loss 1.5620 (1.3536) Prec@1 65.625 (68.492) Prec@5 83.594 (86.981) Epoch: [77][2370/10010] Time 0.337 (0.327) Data 0.000 (0.002) Loss 1.4078 (1.3535) Prec@1 66.406 (68.491) Prec@5 89.844 (86.982) Epoch: [77][2380/10010] Time 0.322 (0.327) Data 0.000 (0.002) Loss 1.2828 (1.3537) Prec@1 67.188 (68.485) Prec@5 87.500 (86.981) Epoch: [77][2390/10010] Time 0.320 (0.327) Data 0.001 (0.002) Loss 1.4505 (1.3534) Prec@1 71.875 (68.491) Prec@5 87.500 (86.985) Epoch: [77][2400/10010] Time 0.339 (0.327) Data 0.000 (0.002) Loss 1.5731 (1.3534) Prec@1 64.844 (68.493) Prec@5 84.375 (86.982) Epoch: [77][2410/10010] Time 0.333 (0.327) Data 0.000 (0.002) Loss 1.0626 (1.3533) Prec@1 72.656 (68.496) Prec@5 92.188 (86.987) /data/vision/torralba/deepscene/lib/anaconda2/lib/python2.7/site-packages/PIL/TiffImagePlugin.py:709: UserWarning: Corrupt EXIF data. Expecting to read 4 bytes but only got 0. warnings.warn(str(msg)) Epoch: [77][2420/10010] Time 0.339 (0.327) Data 0.000 (0.002) Loss 1.3612 (1.3535) Prec@1 69.531 (68.489) Prec@5 89.062 (86.985) Epoch: [77][2430/10010] Time 0.324 (0.327) Data 0.000 (0.002) Loss 1.3198 (1.3536) Prec@1 71.875 (68.489) Prec@5 90.625 (86.983) Epoch: [77][2440/10010] Time 0.332 (0.327) Data 0.000 (0.002) Loss 1.5350 (1.3535) Prec@1 64.844 (68.490) Prec@5 82.812 (86.985) Epoch: [77][2450/10010] Time 0.336 (0.327) Data 0.000 (0.002) Loss 1.5895 (1.3540) Prec@1 62.500 (68.478) Prec@5 82.031 (86.982) Epoch: [77][2460/10010] Time 0.319 (0.327) Data 0.000 (0.002) Loss 1.1671 (1.3538) Prec@1 73.438 (68.477) Prec@5 89.062 (86.985) Epoch: [77][2470/10010] Time 0.316 (0.327) Data 0.001 (0.002) Loss 1.3651 (1.3540) Prec@1 68.750 (68.477) Prec@5 85.938 (86.981) Epoch: [77][2480/10010] Time 0.322 (0.327) Data 0.001 (0.002) Loss 1.4049 (1.3541) Prec@1 64.844 (68.475) Prec@5 84.375 (86.977) Epoch: [77][2490/10010] Time 0.336 (0.327) Data 0.001 (0.002) Loss 1.3785 (1.3540) Prec@1 65.625 (68.477) Prec@5 86.719 (86.978) Epoch: [77][2500/10010] Time 0.318 (0.327) Data 0.001 (0.002) Loss 1.4677 (1.3545) Prec@1 70.312 (68.467) Prec@5 80.469 (86.969) Epoch: [77][2510/10010] Time 0.336 (0.327) Data 0.000 (0.002) Loss 1.5899 (1.3546) Prec@1 63.281 (68.468) Prec@5 79.688 (86.962) Epoch: [77][2520/10010] Time 0.324 (0.327) Data 0.001 (0.002) Loss 1.2467 (1.3547) Prec@1 71.094 (68.461) Prec@5 92.188 (86.961) Epoch: [77][2530/10010] Time 0.316 (0.327) Data 0.000 (0.002) Loss 1.3005 (1.3545) Prec@1 68.750 (68.464) Prec@5 89.844 (86.964) Epoch: [77][2540/10010] Time 0.340 (0.327) Data 0.000 (0.002) Loss 1.4764 (1.3546) Prec@1 62.500 (68.455) Prec@5 85.938 (86.963) Epoch: [77][2550/10010] Time 0.320 (0.327) Data 0.000 (0.002) Loss 1.3394 (1.3545) Prec@1 69.531 (68.458) Prec@5 88.281 (86.964) Epoch: [77][2560/10010] Time 0.332 (0.327) Data 0.000 (0.002) Loss 1.5349 (1.3547) Prec@1 67.188 (68.456) Prec@5 81.250 (86.959) Epoch: [77][2570/10010] Time 0.329 (0.327) Data 0.001 (0.002) Loss 1.3834 (1.3546) Prec@1 67.969 (68.456) Prec@5 82.812 (86.959) Epoch: [77][2580/10010] Time 0.327 (0.327) Data 0.000 (0.002) Loss 1.5075 (1.3547) Prec@1 65.625 (68.451) Prec@5 85.938 (86.960) Epoch: [77][2590/10010] Time 0.335 (0.327) Data 0.000 (0.002) Loss 1.1931 (1.3546) Prec@1 73.438 (68.456) Prec@5 89.844 (86.962) Epoch: [77][2600/10010] Time 0.316 (0.327) Data 0.001 (0.002) Loss 1.4218 (1.3545) Prec@1 69.531 (68.458) Prec@5 86.719 (86.963) Epoch: [77][2610/10010] Time 0.327 (0.327) Data 0.001 (0.002) Loss 1.1119 (1.3542) Prec@1 69.531 (68.462) Prec@5 92.188 (86.968) Epoch: [77][2620/10010] Time 0.326 (0.327) Data 0.001 (0.002) Loss 1.4568 (1.3543) Prec@1 68.750 (68.458) Prec@5 82.031 (86.964) Epoch: [77][2630/10010] Time 0.313 (0.327) Data 0.001 (0.002) Loss 1.2354 (1.3542) Prec@1 67.969 (68.460) Prec@5 88.281 (86.964) Epoch: [77][2640/10010] Time 0.329 (0.327) Data 0.001 (0.002) Loss 1.3899 (1.3545) Prec@1 68.750 (68.458) Prec@5 85.938 (86.960) Epoch: [77][2650/10010] Time 0.317 (0.327) Data 0.001 (0.002) Loss 1.2301 (1.3545) Prec@1 68.750 (68.454) Prec@5 89.844 (86.960) Epoch: [77][2660/10010] Time 0.322 (0.327) Data 0.001 (0.002) Loss 1.4864 (1.3542) Prec@1 67.969 (68.462) Prec@5 84.375 (86.966) Epoch: [77][2670/10010] Time 0.321 (0.327) Data 0.001 (0.002) Loss 1.2733 (1.3542) Prec@1 70.312 (68.462) Prec@5 85.156 (86.966) Epoch: [77][2680/10010] Time 0.340 (0.327) Data 0.000 (0.002) Loss 1.5882 (1.3543) Prec@1 63.281 (68.463) Prec@5 85.156 (86.962) Epoch: [77][2690/10010] Time 0.320 (0.327) Data 0.001 (0.002) Loss 1.1565 (1.3543) Prec@1 71.094 (68.465) Prec@5 91.406 (86.964) Epoch: [77][2700/10010] Time 0.337 (0.327) Data 0.001 (0.002) Loss 1.2602 (1.3546) Prec@1 72.656 (68.463) Prec@5 88.281 (86.964) Epoch: [77][2710/10010] Time 0.340 (0.327) Data 0.001 (0.002) Loss 1.5262 (1.3546) Prec@1 63.281 (68.458) Prec@5 78.906 (86.956) Epoch: [77][2720/10010] Time 0.341 (0.327) Data 0.000 (0.002) Loss 1.5852 (1.3547) Prec@1 64.844 (68.458) Prec@5 82.812 (86.956) Epoch: [77][2730/10010] Time 0.319 (0.327) Data 0.001 (0.002) Loss 1.5806 (1.3549) Prec@1 66.406 (68.457) Prec@5 82.812 (86.953) Epoch: [77][2740/10010] Time 0.316 (0.327) Data 0.000 (0.002) Loss 1.6475 (1.3552) Prec@1 64.062 (68.454) Prec@5 82.812 (86.949) Epoch: [77][2750/10010] Time 0.324 (0.327) Data 0.001 (0.002) Loss 1.2780 (1.3552) Prec@1 67.188 (68.453) Prec@5 86.719 (86.949) Epoch: [77][2760/10010] Time 0.340 (0.327) Data 0.000 (0.002) Loss 1.5900 (1.3555) Prec@1 60.938 (68.451) Prec@5 83.594 (86.942) Epoch: [77][2770/10010] Time 0.338 (0.327) Data 0.001 (0.002) Loss 1.3441 (1.3558) Prec@1 66.406 (68.446) Prec@5 89.062 (86.939) Epoch: [77][2780/10010] Time 0.320 (0.327) Data 0.000 (0.002) Loss 1.4930 (1.3558) Prec@1 64.062 (68.450) Prec@5 82.812 (86.936) Epoch: [77][2790/10010] Time 0.340 (0.327) Data 0.001 (0.002) Loss 1.2566 (1.3562) Prec@1 71.875 (68.449) Prec@5 87.500 (86.933) Epoch: [77][2800/10010] Time 0.338 (0.327) Data 0.001 (0.002) Loss 1.5371 (1.3561) Prec@1 69.531 (68.451) Prec@5 85.938 (86.933) Epoch: [77][2810/10010] Time 0.337 (0.327) Data 0.001 (0.002) Loss 1.2219 (1.3564) Prec@1 64.062 (68.443) Prec@5 92.188 (86.930) Epoch: [77][2820/10010] Time 0.318 (0.327) Data 0.001 (0.002) Loss 1.3737 (1.3565) Prec@1 64.844 (68.439) Prec@5 88.281 (86.933) Epoch: [77][2830/10010] Time 0.324 (0.327) Data 0.001 (0.002) Loss 1.6286 (1.3565) Prec@1 62.500 (68.433) Prec@5 82.812 (86.932) Epoch: [77][2840/10010] Time 0.340 (0.327) Data 0.001 (0.002) Loss 1.4125 (1.3565) Prec@1 68.750 (68.436) Prec@5 85.938 (86.930) Epoch: [77][2850/10010] Time 0.312 (0.327) Data 0.001 (0.002) Loss 1.2132 (1.3564) Prec@1 72.656 (68.442) Prec@5 87.500 (86.932) Epoch: [77][2860/10010] Time 0.323 (0.327) Data 0.001 (0.002) Loss 1.3975 (1.3564) Prec@1 69.531 (68.444) Prec@5 85.938 (86.931) Epoch: [77][2870/10010] Time 0.330 (0.327) Data 0.001 (0.002) Loss 1.1949 (1.3564) Prec@1 77.344 (68.450) Prec@5 90.625 (86.932) Epoch: [77][2880/10010] Time 0.332 (0.327) Data 0.001 (0.002) Loss 1.2330 (1.3564) Prec@1 71.094 (68.448) Prec@5 88.281 (86.934) Epoch: [77][2890/10010] Time 0.319 (0.327) Data 0.000 (0.002) Loss 1.2034 (1.3563) Prec@1 74.219 (68.451) Prec@5 88.281 (86.937) Epoch: [77][2900/10010] Time 0.340 (0.327) Data 0.001 (0.002) Loss 1.4403 (1.3563) Prec@1 68.750 (68.453) Prec@5 83.594 (86.935) Epoch: [77][2910/10010] Time 0.337 (0.327) Data 0.000 (0.002) Loss 1.1989 (1.3565) Prec@1 71.094 (68.448) Prec@5 90.625 (86.932) Epoch: [77][2920/10010] Time 0.338 (0.327) Data 0.001 (0.002) Loss 1.3767 (1.3564) Prec@1 67.969 (68.446) Prec@5 87.500 (86.932) Epoch: [77][2930/10010] Time 0.320 (0.327) Data 0.000 (0.002) Loss 1.2015 (1.3567) Prec@1 71.875 (68.442) Prec@5 90.625 (86.927) Epoch: [77][2940/10010] Time 0.317 (0.327) Data 0.001 (0.002) Loss 1.3694 (1.3568) Prec@1 74.219 (68.441) Prec@5 85.156 (86.925) Epoch: [77][2950/10010] Time 0.333 (0.327) Data 0.001 (0.002) Loss 1.3748 (1.3568) Prec@1 70.312 (68.442) Prec@5 89.062 (86.922) Epoch: [77][2960/10010] Time 0.323 (0.327) Data 0.001 (0.002) Loss 1.5142 (1.3567) Prec@1 66.406 (68.444) Prec@5 82.812 (86.921) Epoch: [77][2970/10010] Time 0.325 (0.327) Data 0.001 (0.002) Loss 1.2028 (1.3565) Prec@1 74.219 (68.450) Prec@5 89.062 (86.927) Epoch: [77][2980/10010] Time 0.326 (0.327) Data 0.000 (0.002) Loss 1.5866 (1.3565) Prec@1 60.938 (68.449) Prec@5 82.812 (86.931) Epoch: [77][2990/10010] Time 0.317 (0.327) Data 0.001 (0.002) Loss 1.3510 (1.3565) Prec@1 67.969 (68.452) Prec@5 85.156 (86.928) Epoch: [77][3000/10010] Time 0.334 (0.327) Data 0.001 (0.002) Loss 1.3150 (1.3565) Prec@1 68.750 (68.455) Prec@5 87.500 (86.930) Epoch: [77][3010/10010] Time 0.341 (0.327) Data 0.000 (0.002) Loss 1.5772 (1.3567) Prec@1 64.844 (68.452) Prec@5 81.250 (86.925) Epoch: [77][3020/10010] Time 0.340 (0.327) Data 0.000 (0.002) Loss 1.6965 (1.3569) Prec@1 58.594 (68.444) Prec@5 80.469 (86.923) Epoch: [77][3030/10010] Time 0.323 (0.327) Data 0.000 (0.002) Loss 1.3047 (1.3570) Prec@1 71.875 (68.440) Prec@5 84.375 (86.921) Epoch: [77][3040/10010] Time 0.319 (0.327) Data 0.001 (0.002) Loss 1.2647 (1.3569) Prec@1 73.438 (68.444) Prec@5 89.062 (86.924) Epoch: [77][3050/10010] Time 0.338 (0.327) Data 0.001 (0.002) Loss 1.3428 (1.3568) Prec@1 65.625 (68.446) Prec@5 88.281 (86.924) Epoch: [77][3060/10010] Time 0.318 (0.327) Data 0.000 (0.002) Loss 1.3279 (1.3566) Prec@1 68.750 (68.453) Prec@5 89.062 (86.929) Epoch: [77][3070/10010] Time 0.314 (0.327) Data 0.001 (0.002) Loss 1.6764 (1.3568) Prec@1 64.062 (68.451) Prec@5 79.688 (86.923) Epoch: [77][3080/10010] Time 0.315 (0.327) Data 0.001 (0.002) Loss 1.5696 (1.3566) Prec@1 67.188 (68.453) Prec@5 84.375 (86.928) Epoch: [77][3090/10010] Time 0.339 (0.327) Data 0.001 (0.002) Loss 1.3231 (1.3562) Prec@1 70.312 (68.456) Prec@5 83.594 (86.932) Epoch: [77][3100/10010] Time 0.334 (0.327) Data 0.000 (0.002) Loss 1.4803 (1.3565) Prec@1 71.094 (68.455) Prec@5 88.281 (86.930) Epoch: [77][3110/10010] Time 0.335 (0.327) Data 0.000 (0.002) Loss 1.1242 (1.3561) Prec@1 64.844 (68.460) Prec@5 90.625 (86.937) Epoch: [77][3120/10010] Time 0.330 (0.327) Data 0.001 (0.002) Loss 1.2693 (1.3564) Prec@1 71.875 (68.453) Prec@5 86.719 (86.936) Epoch: [77][3130/10010] Time 0.316 (0.327) Data 0.001 (0.002) Loss 1.3482 (1.3565) Prec@1 64.844 (68.446) Prec@5 87.500 (86.932) Epoch: [77][3140/10010] Time 0.337 (0.327) Data 0.001 (0.002) Loss 1.4996 (1.3566) Prec@1 60.938 (68.443) Prec@5 87.500 (86.932) Epoch: [77][3150/10010] Time 0.331 (0.327) Data 0.000 (0.002) Loss 1.5205 (1.3567) Prec@1 69.531 (68.438) Prec@5 84.375 (86.930) Epoch: [77][3160/10010] Time 0.338 (0.327) Data 0.000 (0.002) Loss 1.1794 (1.3565) Prec@1 67.188 (68.442) Prec@5 90.625 (86.936) Epoch: [77][3170/10010] Time 0.321 (0.327) Data 0.000 (0.002) Loss 1.2578 (1.3561) Prec@1 71.875 (68.448) Prec@5 85.938 (86.939) Epoch: [77][3180/10010] Time 0.331 (0.327) Data 0.001 (0.002) Loss 1.3993 (1.3561) Prec@1 66.406 (68.448) Prec@5 85.938 (86.941) Epoch: [77][3190/10010] Time 0.328 (0.327) Data 0.001 (0.002) Loss 1.2932 (1.3562) Prec@1 63.281 (68.441) Prec@5 88.281 (86.939) Epoch: [77][3200/10010] Time 0.319 (0.327) Data 0.000 (0.002) Loss 1.1978 (1.3562) Prec@1 71.875 (68.440) Prec@5 87.500 (86.941) Epoch: [77][3210/10010] Time 0.322 (0.327) Data 0.001 (0.002) Loss 1.4941 (1.3562) Prec@1 63.281 (68.441) Prec@5 84.375 (86.939) Epoch: [77][3220/10010] Time 0.318 (0.327) Data 0.000 (0.002) Loss 1.5064 (1.3561) Prec@1 64.062 (68.449) Prec@5 82.812 (86.938) Epoch: [77][3230/10010] Time 0.320 (0.327) Data 0.001 (0.002) Loss 1.4630 (1.3562) Prec@1 66.406 (68.443) Prec@5 85.938 (86.938) Epoch: [77][3240/10010] Time 0.324 (0.327) Data 0.000 (0.002) Loss 1.2557 (1.3560) Prec@1 69.531 (68.452) Prec@5 88.281 (86.940) Epoch: [77][3250/10010] Time 0.319 (0.327) Data 0.001 (0.002) Loss 1.2522 (1.3560) Prec@1 73.438 (68.455) Prec@5 89.062 (86.941) Epoch: [77][3260/10010] Time 0.318 (0.327) Data 0.000 (0.002) Loss 1.3168 (1.3561) Prec@1 69.531 (68.450) Prec@5 89.062 (86.936) Epoch: [77][3270/10010] Time 0.337 (0.327) Data 0.001 (0.002) Loss 1.3350 (1.3560) Prec@1 67.188 (68.449) Prec@5 85.938 (86.938) Epoch: [77][3280/10010] Time 0.321 (0.327) Data 0.000 (0.002) Loss 1.0990 (1.3560) Prec@1 78.125 (68.449) Prec@5 90.625 (86.939) Epoch: [77][3290/10010] Time 0.336 (0.327) Data 0.001 (0.002) Loss 1.3969 (1.3563) Prec@1 67.188 (68.446) Prec@5 86.719 (86.933) Epoch: [77][3300/10010] Time 0.316 (0.327) Data 0.001 (0.002) Loss 1.7288 (1.3564) Prec@1 60.156 (68.443) Prec@5 84.375 (86.934) Epoch: [77][3310/10010] Time 0.330 (0.327) Data 0.000 (0.002) Loss 1.4949 (1.3567) Prec@1 68.750 (68.436) Prec@5 86.719 (86.929) Epoch: [77][3320/10010] Time 0.322 (0.327) Data 0.000 (0.002) Loss 1.7672 (1.3570) Prec@1 58.594 (68.432) Prec@5 83.594 (86.926) Epoch: [77][3330/10010] Time 0.330 (0.327) Data 0.001 (0.002) Loss 1.4852 (1.3570) Prec@1 67.969 (68.432) Prec@5 88.281 (86.927) Epoch: [77][3340/10010] Time 0.325 (0.327) Data 0.000 (0.002) Loss 1.4504 (1.3571) Prec@1 65.625 (68.430) Prec@5 86.719 (86.924) Epoch: [77][3350/10010] Time 0.317 (0.327) Data 0.001 (0.002) Loss 1.3808 (1.3572) Prec@1 68.750 (68.427) Prec@5 87.500 (86.921) Epoch: [77][3360/10010] Time 0.336 (0.327) Data 0.000 (0.002) Loss 1.2715 (1.3572) Prec@1 69.531 (68.429) Prec@5 92.188 (86.924) Epoch: [77][3370/10010] Time 0.334 (0.327) Data 0.001 (0.002) Loss 1.5145 (1.3574) Prec@1 64.844 (68.420) Prec@5 87.500 (86.921) Epoch: [77][3380/10010] Time 0.320 (0.327) Data 0.001 (0.002) Loss 1.2779 (1.3576) Prec@1 67.969 (68.416) Prec@5 87.500 (86.918) Epoch: [77][3390/10010] Time 0.319 (0.327) Data 0.000 (0.002) Loss 1.3895 (1.3576) Prec@1 67.188 (68.416) Prec@5 82.812 (86.917) Epoch: [77][3400/10010] Time 0.319 (0.327) Data 0.000 (0.002) Loss 1.5577 (1.3577) Prec@1 67.969 (68.415) Prec@5 80.469 (86.918) Epoch: [77][3410/10010] Time 0.331 (0.327) Data 0.001 (0.002) Loss 1.7306 (1.3578) Prec@1 62.500 (68.414) Prec@5 82.812 (86.917) Epoch: [77][3420/10010] Time 0.340 (0.327) Data 0.001 (0.002) Loss 1.3324 (1.3578) Prec@1 71.094 (68.417) Prec@5 86.719 (86.918) Epoch: [77][3430/10010] Time 0.333 (0.327) Data 0.001 (0.002) Loss 1.5218 (1.3577) Prec@1 68.750 (68.422) Prec@5 84.375 (86.920) Epoch: [77][3440/10010] Time 0.342 (0.327) Data 0.001 (0.002) Loss 1.3218 (1.3575) Prec@1 70.312 (68.428) Prec@5 87.500 (86.922) Epoch: [77][3450/10010] Time 0.316 (0.327) Data 0.001 (0.002) Loss 1.4576 (1.3577) Prec@1 63.281 (68.422) Prec@5 85.938 (86.920) Epoch: [77][3460/10010] Time 0.314 (0.327) Data 0.001 (0.002) Loss 1.2563 (1.3573) Prec@1 71.094 (68.430) Prec@5 86.719 (86.924) Epoch: [77][3470/10010] Time 0.322 (0.327) Data 0.000 (0.002) Loss 1.4224 (1.3573) Prec@1 67.969 (68.426) Prec@5 87.500 (86.924) Epoch: [77][3480/10010] Time 0.339 (0.327) Data 0.001 (0.002) Loss 1.6511 (1.3574) Prec@1 62.500 (68.423) Prec@5 84.375 (86.924) Epoch: [77][3490/10010] Time 0.325 (0.327) Data 0.001 (0.002) Loss 1.2924 (1.3574) Prec@1 70.312 (68.420) Prec@5 87.500 (86.925) Epoch: [77][3500/10010] Time 0.321 (0.327) Data 0.000 (0.002) Loss 1.2767 (1.3572) Prec@1 67.188 (68.424) Prec@5 87.500 (86.928) Epoch: [77][3510/10010] Time 0.324 (0.327) Data 0.000 (0.001) Loss 1.3399 (1.3569) Prec@1 65.625 (68.426) Prec@5 87.500 (86.932) Epoch: [77][3520/10010] Time 0.336 (0.327) Data 0.000 (0.001) Loss 1.2765 (1.3570) Prec@1 64.062 (68.422) Prec@5 87.500 (86.928) Epoch: [77][3530/10010] Time 0.318 (0.327) Data 0.001 (0.001) Loss 1.3132 (1.3571) Prec@1 67.969 (68.422) Prec@5 88.281 (86.929) Epoch: [77][3540/10010] Time 0.323 (0.327) Data 0.001 (0.001) Loss 1.2145 (1.3572) Prec@1 68.750 (68.423) Prec@5 90.625 (86.928) Epoch: [77][3550/10010] Time 0.341 (0.327) Data 0.000 (0.001) Loss 1.3684 (1.3572) Prec@1 64.062 (68.423) Prec@5 85.938 (86.924) Epoch: [77][3560/10010] Time 0.338 (0.327) Data 0.001 (0.001) Loss 1.2102 (1.3570) Prec@1 73.438 (68.427) Prec@5 86.719 (86.927) Epoch: [77][3570/10010] Time 0.331 (0.327) Data 0.001 (0.001) Loss 1.5630 (1.3568) Prec@1 67.188 (68.429) Prec@5 84.375 (86.932) Epoch: [77][3580/10010] Time 0.313 (0.327) Data 0.001 (0.001) Loss 1.3986 (1.3570) Prec@1 71.875 (68.427) Prec@5 85.938 (86.929) Epoch: [77][3590/10010] Time 0.323 (0.327) Data 0.000 (0.001) Loss 1.4741 (1.3570) Prec@1 68.750 (68.425) Prec@5 86.719 (86.930) Epoch: [77][3600/10010] Time 0.332 (0.327) Data 0.001 (0.001) Loss 1.6972 (1.3571) Prec@1 60.938 (68.429) Prec@5 84.375 (86.928) Epoch: [77][3610/10010] Time 0.316 (0.327) Data 0.000 (0.001) Loss 1.4723 (1.3573) Prec@1 63.281 (68.423) Prec@5 86.719 (86.924) Epoch: [77][3620/10010] Time 0.320 (0.327) Data 0.001 (0.001) Loss 1.7705 (1.3576) Prec@1 58.594 (68.416) Prec@5 78.906 (86.921) Epoch: [77][3630/10010] Time 0.322 (0.327) Data 0.001 (0.001) Loss 1.1581 (1.3576) Prec@1 74.219 (68.415) Prec@5 91.406 (86.923) Epoch: [77][3640/10010] Time 0.315 (0.327) Data 0.001 (0.001) Loss 1.3351 (1.3574) Prec@1 68.750 (68.419) Prec@5 86.719 (86.927) Epoch: [77][3650/10010] Time 0.321 (0.327) Data 0.001 (0.001) Loss 1.3688 (1.3572) Prec@1 68.750 (68.423) Prec@5 87.500 (86.932) Epoch: [77][3660/10010] Time 0.324 (0.327) Data 0.001 (0.001) Loss 1.2141 (1.3572) Prec@1 70.312 (68.422) Prec@5 88.281 (86.934) Epoch: [77][3670/10010] Time 0.321 (0.327) Data 0.000 (0.001) Loss 1.4363 (1.3571) Prec@1 64.062 (68.425) Prec@5 85.938 (86.935) Epoch: [77][3680/10010] Time 0.334 (0.327) Data 0.001 (0.001) Loss 1.5360 (1.3570) Prec@1 67.969 (68.428) Prec@5 81.250 (86.934) Epoch: [77][3690/10010] Time 0.319 (0.327) Data 0.001 (0.001) Loss 1.3122 (1.3570) Prec@1 67.969 (68.425) Prec@5 85.156 (86.933) Epoch: [77][3700/10010] Time 0.320 (0.327) Data 0.000 (0.001) Loss 1.2332 (1.3572) Prec@1 71.094 (68.425) Prec@5 86.719 (86.927) Epoch: [77][3710/10010] Time 0.341 (0.327) Data 0.001 (0.001) Loss 1.3676 (1.3572) Prec@1 68.750 (68.427) Prec@5 86.719 (86.928) Epoch: [77][3720/10010] Time 0.336 (0.327) Data 0.001 (0.001) Loss 1.5717 (1.3572) Prec@1 70.312 (68.428) Prec@5 82.812 (86.928) Epoch: [77][3730/10010] Time 0.336 (0.327) Data 0.001 (0.001) Loss 1.2947 (1.3573) Prec@1 68.750 (68.423) Prec@5 89.062 (86.926) Epoch: [77][3740/10010] Time 0.323 (0.327) Data 0.000 (0.001) Loss 1.3545 (1.3575) Prec@1 69.531 (68.416) Prec@5 85.156 (86.922) Epoch: [77][3750/10010] Time 0.314 (0.327) Data 0.000 (0.001) Loss 1.3380 (1.3576) Prec@1 67.188 (68.416) Prec@5 86.719 (86.922) Epoch: [77][3760/10010] Time 0.314 (0.327) Data 0.001 (0.001) Loss 1.2850 (1.3576) Prec@1 66.406 (68.413) Prec@5 87.500 (86.922) Epoch: [77][3770/10010] Time 0.315 (0.327) Data 0.001 (0.001) Loss 1.3618 (1.3576) Prec@1 67.188 (68.416) Prec@5 88.281 (86.921) Epoch: [77][3780/10010] Time 0.316 (0.327) Data 0.001 (0.001) Loss 1.2935 (1.3577) Prec@1 68.750 (68.418) Prec@5 85.938 (86.920) Epoch: [77][3790/10010] Time 0.326 (0.327) Data 0.001 (0.001) Loss 1.3013 (1.3576) Prec@1 67.969 (68.416) Prec@5 86.719 (86.920) Epoch: [77][3800/10010] Time 0.329 (0.327) Data 0.000 (0.001) Loss 1.3766 (1.3575) Prec@1 68.750 (68.419) Prec@5 84.375 (86.921) Epoch: [77][3810/10010] Time 0.329 (0.327) Data 0.001 (0.001) Loss 1.3260 (1.3572) Prec@1 66.406 (68.424) Prec@5 85.156 (86.925) Epoch: [77][3820/10010] Time 0.335 (0.327) Data 0.001 (0.001) Loss 1.4270 (1.3570) Prec@1 66.406 (68.430) Prec@5 84.375 (86.928) Epoch: [77][3830/10010] Time 0.318 (0.327) Data 0.001 (0.001) Loss 1.1155 (1.3570) Prec@1 71.094 (68.431) Prec@5 89.844 (86.927) Epoch: [77][3840/10010] Time 0.320 (0.327) Data 0.000 (0.001) Loss 1.4860 (1.3572) Prec@1 71.875 (68.429) Prec@5 83.594 (86.923) Epoch: [77][3850/10010] Time 0.322 (0.327) Data 0.001 (0.001) Loss 1.3842 (1.3571) Prec@1 68.750 (68.429) Prec@5 89.844 (86.924) Epoch: [77][3860/10010] Time 0.338 (0.327) Data 0.000 (0.001) Loss 1.4394 (1.3571) Prec@1 64.062 (68.429) Prec@5 88.281 (86.924) Epoch: [77][3870/10010] Time 0.325 (0.327) Data 0.000 (0.001) Loss 1.2232 (1.3574) Prec@1 76.562 (68.425) Prec@5 87.500 (86.919) Epoch: [77][3880/10010] Time 0.321 (0.327) Data 0.000 (0.001) Loss 1.3639 (1.3575) Prec@1 68.750 (68.421) Prec@5 85.156 (86.918) Epoch: [77][3890/10010] Time 0.317 (0.327) Data 0.000 (0.001) Loss 1.4273 (1.3577) Prec@1 65.625 (68.418) Prec@5 86.719 (86.916) Epoch: [77][3900/10010] Time 0.309 (0.327) Data 0.001 (0.001) Loss 1.4618 (1.3578) Prec@1 68.750 (68.419) Prec@5 85.156 (86.913) Epoch: [77][3910/10010] Time 0.337 (0.327) Data 0.000 (0.001) Loss 1.1625 (1.3578) Prec@1 73.438 (68.426) Prec@5 87.500 (86.915) Epoch: [77][3920/10010] Time 0.328 (0.327) Data 0.000 (0.001) Loss 1.3840 (1.3577) Prec@1 70.312 (68.428) Prec@5 85.938 (86.918) Epoch: [77][3930/10010] Time 0.333 (0.327) Data 0.001 (0.001) Loss 1.2735 (1.3577) Prec@1 71.094 (68.428) Prec@5 87.500 (86.917) Epoch: [77][3940/10010] Time 0.322 (0.327) Data 0.001 (0.001) Loss 1.2360 (1.3579) Prec@1 71.875 (68.425) Prec@5 89.844 (86.915) Epoch: [77][3950/10010] Time 0.326 (0.327) Data 0.001 (0.001) Loss 1.4109 (1.3581) Prec@1 66.406 (68.418) Prec@5 85.938 (86.913) Epoch: [77][3960/10010] Time 0.331 (0.327) Data 0.000 (0.001) Loss 1.3619 (1.3580) Prec@1 71.094 (68.419) Prec@5 85.938 (86.913) Epoch: [77][3970/10010] Time 0.322 (0.327) Data 0.000 (0.001) Loss 1.7368 (1.3585) Prec@1 63.281 (68.413) Prec@5 83.594 (86.908) Epoch: [77][3980/10010] Time 0.328 (0.327) Data 0.001 (0.001) Loss 1.2006 (1.3585) Prec@1 70.312 (68.409) Prec@5 90.625 (86.908) Epoch: [77][3990/10010] Time 0.330 (0.327) Data 0.001 (0.001) Loss 1.6238 (1.3585) Prec@1 60.938 (68.405) Prec@5 85.156 (86.907) Epoch: [77][4000/10010] Time 0.335 (0.327) Data 0.000 (0.001) Loss 1.5116 (1.3587) Prec@1 64.844 (68.401) Prec@5 83.594 (86.907) Epoch: [77][4010/10010] Time 0.338 (0.327) Data 0.001 (0.001) Loss 1.4705 (1.3588) Prec@1 69.531 (68.396) Prec@5 83.594 (86.906) Epoch: [77][4020/10010] Time 0.318 (0.327) Data 0.000 (0.001) Loss 1.3736 (1.3588) Prec@1 64.844 (68.397) Prec@5 86.719 (86.907) Epoch: [77][4030/10010] Time 0.333 (0.327) Data 0.001 (0.001) Loss 1.1219 (1.3590) Prec@1 70.312 (68.392) Prec@5 92.969 (86.903) Epoch: [77][4040/10010] Time 0.313 (0.327) Data 0.001 (0.001) Loss 1.3024 (1.3592) Prec@1 65.625 (68.388) Prec@5 88.281 (86.901) Epoch: [77][4050/10010] Time 0.336 (0.327) Data 0.001 (0.001) Loss 1.2573 (1.3590) Prec@1 71.875 (68.389) Prec@5 89.844 (86.905) Epoch: [77][4060/10010] Time 0.311 (0.327) Data 0.000 (0.001) Loss 1.5943 (1.3590) Prec@1 67.188 (68.391) Prec@5 78.906 (86.902) Epoch: [77][4070/10010] Time 0.329 (0.327) Data 0.001 (0.001) Loss 1.2960 (1.3592) Prec@1 71.094 (68.386) Prec@5 89.062 (86.899) Epoch: [77][4080/10010] Time 0.331 (0.327) Data 0.000 (0.001) Loss 1.2461 (1.3591) Prec@1 71.875 (68.387) Prec@5 89.062 (86.900) Epoch: [77][4090/10010] Time 0.329 (0.327) Data 0.001 (0.001) Loss 1.2945 (1.3591) Prec@1 70.312 (68.387) Prec@5 87.500 (86.902) Epoch: [77][4100/10010] Time 0.316 (0.327) Data 0.000 (0.001) Loss 1.2738 (1.3592) Prec@1 68.750 (68.384) Prec@5 87.500 (86.899) Epoch: [77][4110/10010] Time 0.322 (0.327) Data 0.001 (0.001) Loss 0.9788 (1.3591) Prec@1 76.562 (68.387) Prec@5 89.844 (86.901) Epoch: [77][4120/10010] Time 0.319 (0.327) Data 0.000 (0.001) Loss 1.2743 (1.3589) Prec@1 70.312 (68.394) Prec@5 86.719 (86.902) Epoch: [77][4130/10010] Time 0.313 (0.327) Data 0.001 (0.001) Loss 1.4371 (1.3588) Prec@1 65.625 (68.399) Prec@5 86.719 (86.906) Epoch: [77][4140/10010] Time 0.336 (0.327) Data 0.001 (0.001) Loss 1.3023 (1.3589) Prec@1 68.750 (68.398) Prec@5 85.938 (86.904) Epoch: [77][4150/10010] Time 0.322 (0.327) Data 0.001 (0.001) Loss 1.3668 (1.3588) Prec@1 68.750 (68.402) Prec@5 89.844 (86.906) Epoch: [77][4160/10010] Time 0.337 (0.327) Data 0.001 (0.001) Loss 1.3171 (1.3588) Prec@1 69.531 (68.402) Prec@5 86.719 (86.906) Epoch: [77][4170/10010] Time 0.333 (0.327) Data 0.001 (0.001) Loss 1.2626 (1.3588) Prec@1 68.750 (68.398) Prec@5 85.156 (86.906) Epoch: [77][4180/10010] Time 0.320 (0.327) Data 0.000 (0.001) Loss 1.4521 (1.3587) Prec@1 66.406 (68.400) Prec@5 88.281 (86.906) Epoch: [77][4190/10010] Time 0.315 (0.327) Data 0.000 (0.001) Loss 1.4674 (1.3587) Prec@1 67.969 (68.398) Prec@5 84.375 (86.906) Epoch: [77][4200/10010] Time 0.328 (0.327) Data 0.001 (0.001) Loss 1.6654 (1.3587) Prec@1 64.844 (68.397) Prec@5 82.031 (86.906) Epoch: [77][4210/10010] Time 0.338 (0.327) Data 0.001 (0.001) Loss 1.3346 (1.3588) Prec@1 67.188 (68.399) Prec@5 87.500 (86.907) Epoch: [77][4220/10010] Time 0.321 (0.327) Data 0.001 (0.001) Loss 1.2507 (1.3587) Prec@1 70.312 (68.400) Prec@5 88.281 (86.906) Epoch: [77][4230/10010] Time 0.322 (0.327) Data 0.001 (0.001) Loss 1.3519 (1.3586) Prec@1 62.500 (68.402) Prec@5 87.500 (86.909) Epoch: [77][4240/10010] Time 0.327 (0.327) Data 0.001 (0.001) Loss 1.1450 (1.3588) Prec@1 71.094 (68.395) Prec@5 89.062 (86.907) Epoch: [77][4250/10010] Time 0.341 (0.327) Data 0.001 (0.001) Loss 1.2731 (1.3589) Prec@1 78.125 (68.395) Prec@5 89.844 (86.905) Epoch: [77][4260/10010] Time 0.324 (0.327) Data 0.000 (0.001) Loss 1.3935 (1.3588) Prec@1 67.188 (68.397) Prec@5 86.719 (86.908) Epoch: [77][4270/10010] Time 0.331 (0.327) Data 0.001 (0.001) Loss 1.2491 (1.3589) Prec@1 67.188 (68.395) Prec@5 87.500 (86.906) Epoch: [77][4280/10010] Time 0.317 (0.327) Data 0.001 (0.001) Loss 1.3170 (1.3589) Prec@1 70.312 (68.396) Prec@5 87.500 (86.905) Epoch: [77][4290/10010] Time 0.323 (0.327) Data 0.000 (0.001) Loss 1.3210 (1.3588) Prec@1 71.094 (68.398) Prec@5 85.938 (86.905) Epoch: [77][4300/10010] Time 0.342 (0.327) Data 0.000 (0.001) Loss 1.3222 (1.3588) Prec@1 67.969 (68.396) Prec@5 87.500 (86.903) Epoch: [77][4310/10010] Time 0.319 (0.327) Data 0.001 (0.001) Loss 1.5781 (1.3590) Prec@1 59.375 (68.392) Prec@5 85.938 (86.903) Epoch: [77][4320/10010] Time 0.318 (0.327) Data 0.001 (0.001) Loss 1.3363 (1.3590) Prec@1 70.312 (68.391) Prec@5 88.281 (86.901) Epoch: [77][4330/10010] Time 0.339 (0.327) Data 0.001 (0.001) Loss 1.5614 (1.3591) Prec@1 67.969 (68.389) Prec@5 84.375 (86.899) Epoch: [77][4340/10010] Time 0.329 (0.327) Data 0.001 (0.001) Loss 1.1525 (1.3590) Prec@1 71.094 (68.390) Prec@5 87.500 (86.900) Epoch: [77][4350/10010] Time 0.316 (0.327) Data 0.001 (0.001) Loss 1.2235 (1.3593) Prec@1 75.000 (68.386) Prec@5 89.062 (86.895) Epoch: [77][4360/10010] Time 0.321 (0.327) Data 0.000 (0.001) Loss 1.2027 (1.3592) Prec@1 67.969 (68.387) Prec@5 92.188 (86.896) Epoch: [77][4370/10010] Time 0.318 (0.327) Data 0.001 (0.001) Loss 1.2468 (1.3591) Prec@1 69.531 (68.389) Prec@5 90.625 (86.898) Epoch: [77][4380/10010] Time 0.320 (0.327) Data 0.001 (0.001) Loss 1.4893 (1.3591) Prec@1 61.719 (68.394) Prec@5 85.938 (86.898) /data/vision/torralba/deepscene/lib/anaconda2/lib/python2.7/site-packages/PIL/TiffImagePlugin.py:692: UserWarning: Possibly corrupt EXIF data. Expecting to read 2555904 bytes but only got 0. Skipping tag 0 "Skipping tag %s" % (size, len(data), tag)) Epoch: [77][4390/10010] Time 0.321 (0.327) Data 0.001 (0.001) Loss 1.8995 (1.3594) Prec@1 59.375 (68.390) Prec@5 79.688 (86.896) Epoch: [77][4400/10010] Time 0.320 (0.327) Data 0.001 (0.001) Loss 1.4922 (1.3594) Prec@1 67.969 (68.391) Prec@5 85.938 (86.896) Epoch: [77][4410/10010] Time 0.318 (0.327) Data 0.000 (0.001) Loss 1.5265 (1.3594) Prec@1 61.719 (68.388) Prec@5 82.812 (86.896) Epoch: [77][4420/10010] Time 0.314 (0.327) Data 0.000 (0.001) Loss 1.1893 (1.3593) Prec@1 66.406 (68.391) Prec@5 91.406 (86.899) Epoch: [77][4430/10010] Time 0.319 (0.327) Data 0.001 (0.001) Loss 1.5248 (1.3593) Prec@1 69.531 (68.392) Prec@5 83.594 (86.900) Epoch: [77][4440/10010] Time 0.322 (0.327) Data 0.000 (0.001) Loss 1.4557 (1.3593) Prec@1 66.406 (68.390) Prec@5 85.938 (86.902) Epoch: [77][4450/10010] Time 0.317 (0.327) Data 0.001 (0.001) Loss 1.2977 (1.3593) Prec@1 63.281 (68.389) Prec@5 85.938 (86.900) Epoch: [77][4460/10010] Time 0.319 (0.327) Data 0.001 (0.001) Loss 1.2388 (1.3593) Prec@1 70.312 (68.389) Prec@5 85.938 (86.898) Epoch: [77][4470/10010] Time 0.326 (0.327) Data 0.001 (0.001) Loss 1.3342 (1.3593) Prec@1 67.188 (68.390) Prec@5 82.812 (86.896) Epoch: [77][4480/10010] Time 0.322 (0.327) Data 0.000 (0.001) Loss 1.5318 (1.3592) Prec@1 71.094 (68.395) Prec@5 89.062 (86.898) Epoch: [77][4490/10010] Time 0.335 (0.327) Data 0.001 (0.001) Loss 1.2909 (1.3594) Prec@1 64.062 (68.391) Prec@5 89.844 (86.897) Epoch: [77][4500/10010] Time 0.316 (0.327) Data 0.000 (0.001) Loss 1.3151 (1.3593) Prec@1 66.406 (68.393) Prec@5 88.281 (86.899) Epoch: [77][4510/10010] Time 0.317 (0.327) Data 0.001 (0.001) Loss 1.3658 (1.3594) Prec@1 68.750 (68.391) Prec@5 84.375 (86.899) Epoch: [77][4520/10010] Time 0.342 (0.327) Data 0.001 (0.001) Loss 1.1359 (1.3592) Prec@1 71.875 (68.395) Prec@5 87.500 (86.900) Epoch: [77][4530/10010] Time 0.332 (0.327) Data 0.001 (0.001) Loss 1.6571 (1.3593) Prec@1 60.938 (68.397) Prec@5 83.594 (86.900) Epoch: [77][4540/10010] Time 0.309 (0.327) Data 0.001 (0.001) Loss 1.4275 (1.3590) Prec@1 65.625 (68.402) Prec@5 87.500 (86.906) Epoch: [77][4550/10010] Time 0.317 (0.327) Data 0.001 (0.001) Loss 1.4080 (1.3591) Prec@1 65.625 (68.400) Prec@5 86.719 (86.905) Epoch: [77][4560/10010] Time 0.333 (0.327) Data 0.001 (0.001) Loss 1.3189 (1.3591) Prec@1 71.094 (68.399) Prec@5 88.281 (86.905) Epoch: [77][4570/10010] Time 0.315 (0.327) Data 0.001 (0.001) Loss 1.3840 (1.3590) Prec@1 64.062 (68.399) Prec@5 89.062 (86.906) Epoch: [77][4580/10010] Time 0.321 (0.327) Data 0.001 (0.001) Loss 1.5386 (1.3593) Prec@1 66.406 (68.393) Prec@5 84.375 (86.900) Epoch: [77][4590/10010] Time 0.321 (0.327) Data 0.000 (0.001) Loss 1.2250 (1.3591) Prec@1 72.656 (68.394) Prec@5 87.500 (86.902) Epoch: [77][4600/10010] Time 0.315 (0.327) Data 0.001 (0.001) Loss 1.3594 (1.3592) Prec@1 69.531 (68.394) Prec@5 82.812 (86.899) Epoch: [77][4610/10010] Time 0.339 (0.327) Data 0.000 (0.001) Loss 1.3748 (1.3591) Prec@1 68.750 (68.394) Prec@5 85.938 (86.900) Epoch: [77][4620/10010] Time 0.333 (0.327) Data 0.000 (0.001) Loss 1.3265 (1.3590) Prec@1 71.094 (68.396) Prec@5 85.938 (86.900) Epoch: [77][4630/10010] Time 0.340 (0.327) Data 0.000 (0.001) Loss 1.4917 (1.3591) Prec@1 68.750 (68.394) Prec@5 87.500 (86.898) Epoch: [77][4640/10010] Time 0.337 (0.327) Data 0.001 (0.001) Loss 1.2927 (1.3592) Prec@1 67.969 (68.391) Prec@5 85.156 (86.898) Epoch: [77][4650/10010] Time 0.324 (0.327) Data 0.001 (0.001) Loss 1.2600 (1.3593) Prec@1 67.969 (68.386) Prec@5 90.625 (86.899) Epoch: [77][4660/10010] Time 0.325 (0.327) Data 0.001 (0.001) Loss 1.3287 (1.3593) Prec@1 68.750 (68.386) Prec@5 86.719 (86.900) Epoch: [77][4670/10010] Time 0.335 (0.327) Data 0.001 (0.001) Loss 1.4786 (1.3593) Prec@1 66.406 (68.388) Prec@5 84.375 (86.901) Epoch: [77][4680/10010] Time 0.332 (0.327) Data 0.001 (0.001) Loss 1.2625 (1.3592) Prec@1 69.531 (68.390) Prec@5 85.156 (86.902) Epoch: [77][4690/10010] Time 0.339 (0.327) Data 0.000 (0.001) Loss 1.1642 (1.3592) Prec@1 71.875 (68.390) Prec@5 91.406 (86.901) Epoch: [77][4700/10010] Time 0.338 (0.327) Data 0.001 (0.001) Loss 1.2882 (1.3591) Prec@1 67.969 (68.390) Prec@5 89.062 (86.902) Epoch: [77][4710/10010] Time 0.332 (0.327) Data 0.001 (0.001) Loss 1.5512 (1.3594) Prec@1 67.969 (68.385) Prec@5 82.812 (86.899) Epoch: [77][4720/10010] Time 0.317 (0.327) Data 0.001 (0.001) Loss 1.2650 (1.3592) Prec@1 68.750 (68.387) Prec@5 89.844 (86.903) Epoch: [77][4730/10010] Time 0.340 (0.327) Data 0.001 (0.001) Loss 1.5128 (1.3591) Prec@1 67.188 (68.392) Prec@5 86.719 (86.907) Epoch: [77][4740/10010] Time 0.317 (0.327) Data 0.001 (0.001) Loss 1.5999 (1.3592) Prec@1 64.844 (68.389) Prec@5 81.250 (86.904) Epoch: [77][4750/10010] Time 0.335 (0.327) Data 0.001 (0.001) Loss 1.1674 (1.3593) Prec@1 73.438 (68.391) Prec@5 88.281 (86.903) Epoch: [77][4760/10010] Time 0.316 (0.327) Data 0.000 (0.001) Loss 1.6109 (1.3595) Prec@1 60.156 (68.387) Prec@5 82.812 (86.899) Epoch: [77][4770/10010] Time 0.340 (0.327) Data 0.001 (0.001) Loss 1.3337 (1.3595) Prec@1 65.625 (68.386) Prec@5 88.281 (86.900) Epoch: [77][4780/10010] Time 0.320 (0.327) Data 0.000 (0.001) Loss 1.1449 (1.3593) Prec@1 74.219 (68.393) Prec@5 90.625 (86.904) Epoch: [77][4790/10010] Time 0.330 (0.327) Data 0.000 (0.001) Loss 1.2638 (1.3591) Prec@1 70.312 (68.396) Prec@5 89.062 (86.908) Epoch: [77][4800/10010] Time 0.319 (0.327) Data 0.001 (0.001) Loss 1.2108 (1.3590) Prec@1 70.312 (68.398) Prec@5 90.625 (86.912) Epoch: [77][4810/10010] Time 0.339 (0.327) Data 0.001 (0.001) Loss 1.4775 (1.3591) Prec@1 66.406 (68.393) Prec@5 85.156 (86.911) Epoch: [77][4820/10010] Time 0.323 (0.327) Data 0.001 (0.001) Loss 1.4068 (1.3589) Prec@1 66.406 (68.395) Prec@5 88.281 (86.913) Epoch: [77][4830/10010] Time 0.332 (0.327) Data 0.000 (0.001) Loss 1.2924 (1.3591) Prec@1 71.875 (68.395) Prec@5 85.938 (86.912) Epoch: [77][4840/10010] Time 0.325 (0.327) Data 0.000 (0.001) Loss 1.1929 (1.3591) Prec@1 68.750 (68.394) Prec@5 91.406 (86.912) Epoch: [77][4850/10010] Time 0.318 (0.327) Data 0.001 (0.001) Loss 1.7467 (1.3591) Prec@1 63.281 (68.395) Prec@5 82.812 (86.912) Epoch: [77][4860/10010] Time 0.314 (0.327) Data 0.000 (0.001) Loss 1.3251 (1.3593) Prec@1 74.219 (68.391) Prec@5 88.281 (86.912) Epoch: [77][4870/10010] Time 0.340 (0.327) Data 0.000 (0.001) Loss 1.4068 (1.3594) Prec@1 69.531 (68.391) Prec@5 88.281 (86.912) Epoch: [77][4880/10010] Time 0.335 (0.327) Data 0.000 (0.001) Loss 1.3296 (1.3594) Prec@1 70.312 (68.391) Prec@5 83.594 (86.912) Epoch: [77][4890/10010] Time 0.312 (0.327) Data 0.001 (0.001) Loss 1.1244 (1.3593) Prec@1 73.438 (68.391) Prec@5 89.062 (86.915) Epoch: [77][4900/10010] Time 0.339 (0.327) Data 0.001 (0.001) Loss 1.5689 (1.3593) Prec@1 66.406 (68.391) Prec@5 82.031 (86.916) Epoch: [77][4910/10010] Time 0.313 (0.327) Data 0.001 (0.001) Loss 1.4721 (1.3592) Prec@1 65.625 (68.394) Prec@5 86.719 (86.916) Epoch: [77][4920/10010] Time 0.321 (0.327) Data 0.000 (0.001) Loss 1.3578 (1.3593) Prec@1 62.500 (68.393) Prec@5 85.938 (86.911) Epoch: [77][4930/10010] Time 0.318 (0.327) Data 0.000 (0.001) Loss 1.5128 (1.3593) Prec@1 61.719 (68.392) Prec@5 88.281 (86.912) Epoch: [77][4940/10010] Time 0.333 (0.327) Data 0.001 (0.001) Loss 1.3360 (1.3594) Prec@1 67.188 (68.392) Prec@5 86.719 (86.912) Epoch: [77][4950/10010] Time 0.321 (0.327) Data 0.001 (0.001) Loss 1.4627 (1.3596) Prec@1 65.625 (68.388) Prec@5 86.719 (86.909) Epoch: [77][4960/10010] Time 0.314 (0.327) Data 0.000 (0.001) Loss 1.0198 (1.3595) Prec@1 74.219 (68.392) Prec@5 91.406 (86.911) Epoch: [77][4970/10010] Time 0.323 (0.327) Data 0.001 (0.001) Loss 1.2142 (1.3595) Prec@1 75.000 (68.395) Prec@5 86.719 (86.911) Epoch: [77][4980/10010] Time 0.313 (0.327) Data 0.001 (0.001) Loss 1.4464 (1.3595) Prec@1 68.750 (68.394) Prec@5 86.719 (86.911) Epoch: [77][4990/10010] Time 0.322 (0.327) Data 0.001 (0.001) Loss 1.1610 (1.3594) Prec@1 70.312 (68.394) Prec@5 88.281 (86.913) Epoch: [77][5000/10010] Time 0.325 (0.327) Data 0.000 (0.001) Loss 1.4457 (1.3593) Prec@1 66.406 (68.395) Prec@5 86.719 (86.913) Epoch: [77][5010/10010] Time 0.323 (0.327) Data 0.001 (0.001) Loss 1.3402 (1.3594) Prec@1 68.750 (68.395) Prec@5 89.062 (86.913) Epoch: [77][5020/10010] Time 0.313 (0.327) Data 0.001 (0.001) Loss 1.7575 (1.3592) Prec@1 60.156 (68.398) Prec@5 78.125 (86.914) /data/vision/torralba/deepscene/lib/anaconda2/lib/python2.7/site-packages/PIL/TiffImagePlugin.py:692: UserWarning: Possibly corrupt EXIF data. Expecting to read 2555904 bytes but only got 0. Skipping tag 0 "Skipping tag %s" % (size, len(data), tag)) Epoch: [77][5030/10010] Time 0.323 (0.327) Data 0.001 (0.001) Loss 1.3124 (1.3593) Prec@1 66.406 (68.395) Prec@5 88.281 (86.913) Epoch: [77][5040/10010] Time 0.340 (0.327) Data 0.000 (0.001) Loss 1.0816 (1.3591) Prec@1 74.219 (68.396) Prec@5 90.625 (86.915) Epoch: [77][5050/10010] Time 0.335 (0.327) Data 0.000 (0.001) Loss 1.3333 (1.3592) Prec@1 70.312 (68.392) Prec@5 88.281 (86.914) Epoch: [77][5060/10010] Time 0.333 (0.327) Data 0.001 (0.001) Loss 1.6833 (1.3593) Prec@1 65.625 (68.389) Prec@5 79.688 (86.911) Epoch: [77][5070/10010] Time 0.339 (0.327) Data 0.000 (0.001) Loss 1.0801 (1.3593) Prec@1 72.656 (68.389) Prec@5 89.062 (86.912) Epoch: [77][5080/10010] Time 0.322 (0.327) Data 0.000 (0.001) Loss 1.2224 (1.3594) Prec@1 67.969 (68.388) Prec@5 89.844 (86.912) Epoch: [77][5090/10010] Time 0.323 (0.327) Data 0.000 (0.001) Loss 1.4338 (1.3592) Prec@1 64.844 (68.390) Prec@5 84.375 (86.914) Epoch: [77][5100/10010] Time 0.317 (0.327) Data 0.001 (0.001) Loss 1.5640 (1.3591) Prec@1 62.500 (68.389) Prec@5 86.719 (86.918) Epoch: [77][5110/10010] Time 0.333 (0.327) Data 0.000 (0.001) Loss 1.5936 (1.3592) Prec@1 56.250 (68.383) Prec@5 83.594 (86.917) Epoch: [77][5120/10010] Time 0.327 (0.327) Data 0.001 (0.001) Loss 1.1629 (1.3593) Prec@1 71.094 (68.384) Prec@5 88.281 (86.917) Epoch: [77][5130/10010] Time 0.317 (0.327) Data 0.001 (0.001) Loss 1.4274 (1.3594) Prec@1 64.844 (68.380) Prec@5 86.719 (86.917) Epoch: [77][5140/10010] Time 0.327 (0.327) Data 0.007 (0.001) Loss 1.4460 (1.3594) Prec@1 64.062 (68.379) Prec@5 87.500 (86.915) Epoch: [77][5150/10010] Time 0.342 (0.327) Data 0.000 (0.001) Loss 1.8600 (1.3596) Prec@1 60.938 (68.374) Prec@5 75.781 (86.913) Epoch: [77][5160/10010] Time 0.332 (0.327) Data 0.000 (0.001) Loss 1.0112 (1.3596) Prec@1 75.781 (68.373) Prec@5 92.969 (86.915) Epoch: [77][5170/10010] Time 0.337 (0.327) Data 0.001 (0.001) Loss 1.2010 (1.3596) Prec@1 75.000 (68.373) Prec@5 90.625 (86.914) Epoch: [77][5180/10010] Time 0.335 (0.327) Data 0.000 (0.001) Loss 1.3171 (1.3598) Prec@1 65.625 (68.365) Prec@5 85.938 (86.913) Epoch: [77][5190/10010] Time 0.327 (0.327) Data 0.000 (0.001) Loss 1.2946 (1.3599) Prec@1 72.656 (68.367) Prec@5 87.500 (86.911) /data/vision/torralba/deepscene/lib/anaconda2/lib/python2.7/site-packages/PIL/TiffImagePlugin.py:692: UserWarning: Possibly corrupt EXIF data. Expecting to read 2555904 bytes but only got 0. Skipping tag 0 "Skipping tag %s" % (size, len(data), tag)) Epoch: [77][5200/10010] Time 0.337 (0.327) Data 0.001 (0.001) Loss 1.2917 (1.3598) Prec@1 70.312 (68.366) Prec@5 86.719 (86.911) Epoch: [77][5210/10010] Time 0.326 (0.327) Data 0.000 (0.001) Loss 1.4648 (1.3597) Prec@1 64.844 (68.368) Prec@5 87.500 (86.913) Epoch: [77][5220/10010] Time 0.321 (0.327) Data 0.001 (0.001) Loss 1.2902 (1.3598) Prec@1 71.875 (68.369) Prec@5 87.500 (86.910) Epoch: [77][5230/10010] Time 0.321 (0.327) Data 0.001 (0.001) Loss 1.3560 (1.3597) Prec@1 65.625 (68.371) Prec@5 87.500 (86.912) Epoch: [77][5240/10010] Time 0.317 (0.327) Data 0.001 (0.001) Loss 1.2614 (1.3596) Prec@1 69.531 (68.372) Prec@5 88.281 (86.914) Epoch: [77][5250/10010] Time 0.320 (0.327) Data 0.000 (0.001) Loss 1.4773 (1.3596) Prec@1 64.062 (68.373) Prec@5 83.594 (86.913) Epoch: [77][5260/10010] Time 0.327 (0.327) Data 0.001 (0.001) Loss 1.3451 (1.3596) Prec@1 70.312 (68.373) Prec@5 87.500 (86.913) Epoch: [77][5270/10010] Time 0.317 (0.327) Data 0.001 (0.001) Loss 1.0594 (1.3594) Prec@1 71.094 (68.374) Prec@5 90.625 (86.914) Epoch: [77][5280/10010] Time 0.321 (0.327) Data 0.000 (0.001) Loss 1.2343 (1.3594) Prec@1 70.312 (68.376) Prec@5 90.625 (86.915) Epoch: [77][5290/10010] Time 0.332 (0.327) Data 0.000 (0.001) Loss 1.4248 (1.3593) Prec@1 67.969 (68.377) Prec@5 85.938 (86.917) Epoch: [77][5300/10010] Time 0.317 (0.327) Data 0.001 (0.001) Loss 1.6059 (1.3593) Prec@1 68.750 (68.374) Prec@5 79.688 (86.917) Epoch: [77][5310/10010] Time 0.322 (0.327) Data 0.001 (0.001) Loss 1.3442 (1.3594) Prec@1 67.969 (68.374) Prec@5 85.156 (86.915) Epoch: [77][5320/10010] Time 0.340 (0.327) Data 0.000 (0.001) Loss 1.7021 (1.3597) Prec@1 62.500 (68.369) Prec@5 82.031 (86.911) Epoch: [77][5330/10010] Time 0.335 (0.327) Data 0.000 (0.001) Loss 1.2547 (1.3596) Prec@1 67.188 (68.372) Prec@5 89.844 (86.912) Epoch: [77][5340/10010] Time 0.337 (0.327) Data 0.001 (0.001) Loss 1.5586 (1.3596) Prec@1 66.406 (68.374) Prec@5 84.375 (86.913) Epoch: [77][5350/10010] Time 0.329 (0.327) Data 0.001 (0.001) Loss 1.5223 (1.3596) Prec@1 60.156 (68.374) Prec@5 81.250 (86.910) Epoch: [77][5360/10010] Time 0.334 (0.327) Data 0.000 (0.001) Loss 1.2340 (1.3596) Prec@1 74.219 (68.378) Prec@5 87.500 (86.910) Epoch: [77][5370/10010] Time 0.319 (0.327) Data 0.000 (0.001) Loss 1.2140 (1.3595) Prec@1 73.438 (68.382) Prec@5 92.188 (86.913) Epoch: [77][5380/10010] Time 0.316 (0.327) Data 0.001 (0.001) Loss 1.3745 (1.3594) Prec@1 64.844 (68.382) Prec@5 89.062 (86.916) Epoch: [77][5390/10010] Time 0.337 (0.327) Data 0.000 (0.001) Loss 1.1697 (1.3595) Prec@1 71.875 (68.379) Prec@5 86.719 (86.916) Epoch: [77][5400/10010] Time 0.320 (0.327) Data 0.001 (0.001) Loss 1.4341 (1.3595) Prec@1 66.406 (68.376) Prec@5 85.938 (86.916) Epoch: [77][5410/10010] Time 0.316 (0.327) Data 0.001 (0.001) Loss 1.1252 (1.3595) Prec@1 72.656 (68.376) Prec@5 91.406 (86.918) Epoch: [77][5420/10010] Time 0.335 (0.327) Data 0.001 (0.001) Loss 1.5283 (1.3594) Prec@1 64.062 (68.374) Prec@5 84.375 (86.916) Epoch: [77][5430/10010] Time 0.319 (0.327) Data 0.000 (0.001) Loss 1.1001 (1.3594) Prec@1 71.094 (68.375) Prec@5 88.281 (86.916) Epoch: [77][5440/10010] Time 0.315 (0.327) Data 0.000 (0.001) Loss 1.3748 (1.3593) Prec@1 68.750 (68.374) Prec@5 87.500 (86.917) Epoch: [77][5450/10010] Time 0.338 (0.327) Data 0.000 (0.001) Loss 1.4843 (1.3593) Prec@1 59.375 (68.375) Prec@5 85.156 (86.917) Epoch: [77][5460/10010] Time 0.318 (0.327) Data 0.001 (0.001) Loss 1.2386 (1.3594) Prec@1 74.219 (68.375) Prec@5 87.500 (86.915) Epoch: [77][5470/10010] Time 0.335 (0.327) Data 0.000 (0.001) Loss 1.1645 (1.3592) Prec@1 66.406 (68.376) Prec@5 92.969 (86.918) Epoch: [77][5480/10010] Time 0.333 (0.327) Data 0.001 (0.001) Loss 1.4664 (1.3594) Prec@1 66.406 (68.372) Prec@5 84.375 (86.915) Epoch: [77][5490/10010] Time 0.334 (0.327) Data 0.000 (0.001) Loss 1.3937 (1.3594) Prec@1 67.969 (68.372) Prec@5 86.719 (86.915) Epoch: [77][5500/10010] Time 0.315 (0.327) Data 0.001 (0.001) Loss 1.3808 (1.3595) Prec@1 71.875 (68.370) Prec@5 86.719 (86.913) Epoch: [77][5510/10010] Time 0.325 (0.327) Data 0.000 (0.001) Loss 1.2787 (1.3594) Prec@1 64.062 (68.372) Prec@5 86.719 (86.913) Epoch: [77][5520/10010] Time 0.323 (0.327) Data 0.001 (0.001) Loss 0.8344 (1.3594) Prec@1 81.250 (68.375) Prec@5 93.750 (86.912) Epoch: [77][5530/10010] Time 0.319 (0.327) Data 0.000 (0.001) Loss 1.3394 (1.3594) Prec@1 67.188 (68.374) Prec@5 87.500 (86.914) Epoch: [77][5540/10010] Time 0.320 (0.327) Data 0.000 (0.001) Loss 1.5946 (1.3594) Prec@1 64.844 (68.374) Prec@5 84.375 (86.913) Epoch: [77][5550/10010] Time 0.329 (0.327) Data 0.001 (0.001) Loss 1.2519 (1.3595) Prec@1 69.531 (68.368) Prec@5 90.625 (86.913) Epoch: [77][5560/10010] Time 0.320 (0.327) Data 0.001 (0.001) Loss 1.2614 (1.3595) Prec@1 72.656 (68.368) Prec@5 86.719 (86.912) Epoch: [77][5570/10010] Time 0.315 (0.327) Data 0.001 (0.001) Loss 1.4116 (1.3596) Prec@1 69.531 (68.370) Prec@5 88.281 (86.914) Epoch: [77][5580/10010] Time 0.327 (0.327) Data 0.001 (0.001) Loss 1.7796 (1.3596) Prec@1 58.594 (68.367) Prec@5 82.812 (86.914) Epoch: [77][5590/10010] Time 0.331 (0.327) Data 0.000 (0.001) Loss 1.6289 (1.3596) Prec@1 64.062 (68.368) Prec@5 82.812 (86.915) Epoch: [77][5600/10010] Time 0.325 (0.327) Data 0.001 (0.001) Loss 1.6538 (1.3598) Prec@1 60.938 (68.364) Prec@5 80.469 (86.911) Epoch: [77][5610/10010] Time 0.335 (0.327) Data 0.001 (0.001) Loss 1.2546 (1.3598) Prec@1 70.312 (68.363) Prec@5 87.500 (86.911) Epoch: [77][5620/10010] Time 0.315 (0.327) Data 0.001 (0.001) Loss 1.2012 (1.3596) Prec@1 71.094 (68.367) Prec@5 90.625 (86.913) Epoch: [77][5630/10010] Time 0.311 (0.327) Data 0.000 (0.001) Loss 1.5339 (1.3597) Prec@1 64.062 (68.367) Prec@5 81.250 (86.911) Epoch: [77][5640/10010] Time 0.331 (0.327) Data 0.001 (0.001) Loss 1.6354 (1.3598) Prec@1 64.062 (68.367) Prec@5 82.812 (86.909) Epoch: [77][5650/10010] Time 0.339 (0.327) Data 0.001 (0.001) Loss 1.4418 (1.3599) Prec@1 67.188 (68.366) Prec@5 85.938 (86.907) Epoch: [77][5660/10010] Time 0.317 (0.327) Data 0.000 (0.001) Loss 1.5424 (1.3599) Prec@1 71.094 (68.365) Prec@5 85.156 (86.908) Epoch: [77][5670/10010] Time 0.313 (0.327) Data 0.000 (0.001) Loss 1.2611 (1.3600) Prec@1 66.406 (68.361) Prec@5 89.844 (86.904) Epoch: [77][5680/10010] Time 0.320 (0.327) Data 0.000 (0.001) Loss 1.2654 (1.3600) Prec@1 67.188 (68.362) Prec@5 86.719 (86.905) Epoch: [77][5690/10010] Time 0.314 (0.327) Data 0.001 (0.001) Loss 1.6397 (1.3600) Prec@1 64.062 (68.365) Prec@5 82.031 (86.904) Epoch: [77][5700/10010] Time 0.313 (0.327) Data 0.001 (0.001) Loss 1.5135 (1.3601) Prec@1 64.062 (68.364) Prec@5 85.156 (86.902) /data/vision/torralba/deepscene/lib/anaconda2/lib/python2.7/site-packages/PIL/TiffImagePlugin.py:692: UserWarning: Possibly corrupt EXIF data. Expecting to read 1835008 bytes but only got 0. Skipping tag 0 "Skipping tag %s" % (size, len(data), tag)) Epoch: [77][5710/10010] Time 0.316 (0.327) Data 0.000 (0.001) Loss 1.4383 (1.3603) Prec@1 63.281 (68.361) Prec@5 87.500 (86.901) Epoch: [77][5720/10010] Time 0.330 (0.327) Data 0.000 (0.001) Loss 1.3653 (1.3603) Prec@1 66.406 (68.356) Prec@5 88.281 (86.901) Epoch: [77][5730/10010] Time 0.337 (0.327) Data 0.000 (0.001) Loss 1.1304 (1.3602) Prec@1 73.438 (68.358) Prec@5 89.844 (86.905) Epoch: [77][5740/10010] Time 0.340 (0.327) Data 0.001 (0.001) Loss 1.2195 (1.3602) Prec@1 70.312 (68.358) Prec@5 90.625 (86.905) Epoch: [77][5750/10010] Time 0.331 (0.327) Data 0.001 (0.001) Loss 1.6940 (1.3601) Prec@1 64.062 (68.363) Prec@5 82.031 (86.906) Epoch: [77][5760/10010] Time 0.318 (0.327) Data 0.001 (0.001) Loss 1.3735 (1.3601) Prec@1 71.875 (68.363) Prec@5 85.938 (86.905) Epoch: [77][5770/10010] Time 0.329 (0.327) Data 0.002 (0.001) Loss 1.4848 (1.3602) Prec@1 68.750 (68.361) Prec@5 83.594 (86.903) Epoch: [77][5780/10010] Time 0.317 (0.327) Data 0.001 (0.001) Loss 1.4591 (1.3604) Prec@1 66.406 (68.357) Prec@5 85.938 (86.903) Epoch: [77][5790/10010] Time 0.321 (0.327) Data 0.000 (0.001) Loss 1.2506 (1.3605) Prec@1 71.094 (68.355) Prec@5 90.625 (86.901) Epoch: [77][5800/10010] Time 0.317 (0.327) Data 0.001 (0.001) Loss 1.3438 (1.3605) Prec@1 69.531 (68.356) Prec@5 88.281 (86.899) Epoch: [77][5810/10010] Time 0.331 (0.327) Data 0.001 (0.001) Loss 1.4896 (1.3605) Prec@1 67.188 (68.355) Prec@5 88.281 (86.898) Epoch: [77][5820/10010] Time 0.336 (0.327) Data 0.001 (0.001) Loss 1.5337 (1.3605) Prec@1 67.969 (68.358) Prec@5 84.375 (86.900) Epoch: [77][5830/10010] Time 0.320 (0.327) Data 0.001 (0.001) Loss 1.5119 (1.3604) Prec@1 64.062 (68.359) Prec@5 83.594 (86.899) Epoch: [77][5840/10010] Time 0.312 (0.327) Data 0.001 (0.001) Loss 1.1972 (1.3605) Prec@1 70.312 (68.358) Prec@5 88.281 (86.897) Epoch: [77][5850/10010] Time 0.316 (0.327) Data 0.001 (0.001) Loss 1.1891 (1.3606) Prec@1 71.875 (68.357) Prec@5 89.844 (86.896) Epoch: [77][5860/10010] Time 0.333 (0.327) Data 0.001 (0.001) Loss 1.4387 (1.3605) Prec@1 71.875 (68.361) Prec@5 87.500 (86.897) Epoch: [77][5870/10010] Time 0.337 (0.327) Data 0.001 (0.001) Loss 1.4302 (1.3606) Prec@1 64.844 (68.358) Prec@5 89.844 (86.897) Epoch: [77][5880/10010] Time 0.320 (0.327) Data 0.000 (0.001) Loss 1.3025 (1.3606) Prec@1 69.531 (68.358) Prec@5 84.375 (86.895) Epoch: [77][5890/10010] Time 0.314 (0.327) Data 0.001 (0.001) Loss 1.5233 (1.3607) Prec@1 69.531 (68.357) Prec@5 83.594 (86.893) Epoch: [77][5900/10010] Time 0.322 (0.327) Data 0.000 (0.001) Loss 1.3210 (1.3606) Prec@1 66.406 (68.359) Prec@5 85.938 (86.894) Epoch: [77][5910/10010] Time 0.325 (0.327) Data 0.001 (0.001) Loss 1.4000 (1.3606) Prec@1 61.719 (68.357) Prec@5 86.719 (86.893) Epoch: [77][5920/10010] Time 0.330 (0.327) Data 0.001 (0.001) Loss 1.5576 (1.3607) Prec@1 61.719 (68.355) Prec@5 82.031 (86.890) Epoch: [77][5930/10010] Time 0.319 (0.327) Data 0.001 (0.001) Loss 1.1686 (1.3606) Prec@1 66.406 (68.355) Prec@5 90.625 (86.893) Epoch: [77][5940/10010] Time 0.320 (0.327) Data 0.000 (0.001) Loss 1.6540 (1.3607) Prec@1 62.500 (68.351) Prec@5 82.812 (86.890) Epoch: [77][5950/10010] Time 0.314 (0.327) Data 0.001 (0.001) Loss 1.2603 (1.3607) Prec@1 66.406 (68.350) Prec@5 92.969 (86.892) Epoch: [77][5960/10010] Time 0.323 (0.327) Data 0.000 (0.001) Loss 1.5836 (1.3607) Prec@1 60.156 (68.349) Prec@5 83.594 (86.893) Epoch: [77][5970/10010] Time 0.331 (0.327) Data 0.001 (0.001) Loss 1.4209 (1.3607) Prec@1 73.438 (68.351) Prec@5 88.281 (86.893) Epoch: [77][5980/10010] Time 0.325 (0.327) Data 0.001 (0.001) Loss 1.3671 (1.3606) Prec@1 66.406 (68.352) Prec@5 88.281 (86.896) Epoch: [77][5990/10010] Time 0.327 (0.327) Data 0.000 (0.001) Loss 1.2834 (1.3605) Prec@1 70.312 (68.354) Prec@5 88.281 (86.897) Epoch: [77][6000/10010] Time 0.321 (0.327) Data 0.001 (0.001) Loss 1.5368 (1.3607) Prec@1 67.969 (68.353) Prec@5 83.594 (86.896) Epoch: [77][6010/10010] Time 0.330 (0.327) Data 0.001 (0.001) Loss 1.1714 (1.3606) Prec@1 76.562 (68.353) Prec@5 89.844 (86.898) Epoch: [77][6020/10010] Time 0.327 (0.327) Data 0.000 (0.001) Loss 1.1978 (1.3606) Prec@1 74.219 (68.356) Prec@5 88.281 (86.896) Epoch: [77][6030/10010] Time 0.329 (0.327) Data 0.000 (0.001) Loss 1.5207 (1.3607) Prec@1 65.625 (68.357) Prec@5 85.156 (86.895) Epoch: [77][6040/10010] Time 0.322 (0.327) Data 0.001 (0.001) Loss 1.6479 (1.3607) Prec@1 61.719 (68.357) Prec@5 83.594 (86.895) Epoch: [77][6050/10010] Time 0.329 (0.327) Data 0.000 (0.001) Loss 1.5495 (1.3607) Prec@1 60.938 (68.357) Prec@5 83.594 (86.894) Epoch: [77][6060/10010] Time 0.323 (0.327) Data 0.001 (0.001) Loss 1.4855 (1.3607) Prec@1 64.844 (68.356) Prec@5 84.375 (86.894) Epoch: [77][6070/10010] Time 0.331 (0.327) Data 0.001 (0.001) Loss 1.1591 (1.3607) Prec@1 71.875 (68.355) Prec@5 88.281 (86.895) Epoch: [77][6080/10010] Time 0.336 (0.327) Data 0.000 (0.001) Loss 1.2508 (1.3607) Prec@1 67.969 (68.354) Prec@5 86.719 (86.894) Epoch: [77][6090/10010] Time 0.312 (0.327) Data 0.001 (0.001) Loss 1.4863 (1.3608) Prec@1 65.625 (68.353) Prec@5 87.500 (86.895) Epoch: [77][6100/10010] Time 0.312 (0.327) Data 0.000 (0.001) Loss 1.4477 (1.3606) Prec@1 68.750 (68.357) Prec@5 83.594 (86.896) Epoch: [77][6110/10010] Time 0.318 (0.327) Data 0.000 (0.001) Loss 1.6020 (1.3607) Prec@1 64.062 (68.355) Prec@5 84.375 (86.896) Epoch: [77][6120/10010] Time 0.342 (0.327) Data 0.000 (0.001) Loss 1.4722 (1.3607) Prec@1 64.844 (68.352) Prec@5 82.812 (86.896) Epoch: [77][6130/10010] Time 0.333 (0.327) Data 0.001 (0.001) Loss 1.4159 (1.3607) Prec@1 67.969 (68.354) Prec@5 87.500 (86.896) Epoch: [77][6140/10010] Time 0.333 (0.327) Data 0.000 (0.001) Loss 1.5551 (1.3609) Prec@1 65.625 (68.350) Prec@5 85.156 (86.893) Epoch: [77][6150/10010] Time 0.334 (0.327) Data 0.001 (0.001) Loss 1.4885 (1.3609) Prec@1 64.844 (68.351) Prec@5 85.938 (86.893) Epoch: [77][6160/10010] Time 0.319 (0.327) Data 0.001 (0.001) Loss 1.3306 (1.3608) Prec@1 67.188 (68.352) Prec@5 87.500 (86.893) Epoch: [77][6170/10010] Time 0.322 (0.327) Data 0.000 (0.001) Loss 1.4808 (1.3608) Prec@1 69.531 (68.353) Prec@5 85.156 (86.893) Epoch: [77][6180/10010] Time 0.340 (0.327) Data 0.000 (0.001) Loss 1.4105 (1.3610) Prec@1 67.969 (68.350) Prec@5 87.500 (86.891) Epoch: [77][6190/10010] Time 0.320 (0.327) Data 0.000 (0.001) Loss 1.2839 (1.3609) Prec@1 67.969 (68.351) Prec@5 87.500 (86.890) Epoch: [77][6200/10010] Time 0.317 (0.327) Data 0.001 (0.001) Loss 1.3859 (1.3609) Prec@1 69.531 (68.351) Prec@5 86.719 (86.892) Epoch: [77][6210/10010] Time 0.335 (0.327) Data 0.001 (0.001) Loss 1.2971 (1.3609) Prec@1 73.438 (68.352) Prec@5 85.938 (86.892) Epoch: [77][6220/10010] Time 0.328 (0.327) Data 0.000 (0.001) Loss 1.4769 (1.3608) Prec@1 62.500 (68.352) Prec@5 81.250 (86.892) Epoch: [77][6230/10010] Time 0.334 (0.327) Data 0.001 (0.001) Loss 1.3902 (1.3609) Prec@1 68.750 (68.349) Prec@5 85.938 (86.892) Epoch: [77][6240/10010] Time 0.319 (0.327) Data 0.000 (0.001) Loss 1.6108 (1.3608) Prec@1 60.938 (68.351) Prec@5 83.594 (86.894) Epoch: [77][6250/10010] Time 0.320 (0.327) Data 0.001 (0.001) Loss 1.4173 (1.3610) Prec@1 65.625 (68.349) Prec@5 82.031 (86.890) Epoch: [77][6260/10010] Time 0.323 (0.327) Data 0.001 (0.001) Loss 1.5218 (1.3611) Prec@1 61.719 (68.346) Prec@5 83.594 (86.890) Epoch: [77][6270/10010] Time 0.324 (0.327) Data 0.001 (0.001) Loss 1.1811 (1.3610) Prec@1 67.188 (68.345) Prec@5 92.188 (86.892) Epoch: [77][6280/10010] Time 0.341 (0.327) Data 0.001 (0.001) Loss 1.1888 (1.3609) Prec@1 72.656 (68.346) Prec@5 90.625 (86.894) Epoch: [77][6290/10010] Time 0.336 (0.327) Data 0.001 (0.001) Loss 1.2158 (1.3609) Prec@1 71.875 (68.346) Prec@5 86.719 (86.895) Epoch: [77][6300/10010] Time 0.329 (0.327) Data 0.001 (0.001) Loss 1.3132 (1.3610) Prec@1 72.656 (68.343) Prec@5 87.500 (86.893) Epoch: [77][6310/10010] Time 0.321 (0.327) Data 0.001 (0.001) Loss 1.4914 (1.3610) Prec@1 66.406 (68.343) Prec@5 87.500 (86.893) Epoch: [77][6320/10010] Time 0.336 (0.327) Data 0.000 (0.001) Loss 1.2636 (1.3610) Prec@1 68.750 (68.344) Prec@5 88.281 (86.895) Epoch: [77][6330/10010] Time 0.338 (0.327) Data 0.000 (0.001) Loss 1.4915 (1.3610) Prec@1 65.625 (68.346) Prec@5 85.156 (86.895) Epoch: [77][6340/10010] Time 0.320 (0.327) Data 0.001 (0.001) Loss 1.3606 (1.3609) Prec@1 70.312 (68.348) Prec@5 84.375 (86.896) Epoch: [77][6350/10010] Time 0.330 (0.327) Data 0.000 (0.001) Loss 1.1859 (1.3609) Prec@1 68.750 (68.348) Prec@5 89.844 (86.896) Epoch: [77][6360/10010] Time 0.341 (0.327) Data 0.000 (0.001) Loss 1.3878 (1.3609) Prec@1 69.531 (68.349) Prec@5 87.500 (86.896) Epoch: [77][6370/10010] Time 0.317 (0.327) Data 0.000 (0.001) Loss 1.6085 (1.3610) Prec@1 63.281 (68.350) Prec@5 83.594 (86.895) Epoch: [77][6380/10010] Time 0.321 (0.327) Data 0.001 (0.001) Loss 1.0108 (1.3610) Prec@1 75.000 (68.346) Prec@5 91.406 (86.896) Epoch: [77][6390/10010] Time 0.329 (0.327) Data 0.001 (0.001) Loss 1.4951 (1.3610) Prec@1 64.844 (68.344) Prec@5 84.375 (86.895) Epoch: [77][6400/10010] Time 0.334 (0.327) Data 0.001 (0.001) Loss 1.2761 (1.3610) Prec@1 68.750 (68.344) Prec@5 89.062 (86.896) Epoch: [77][6410/10010] Time 0.337 (0.327) Data 0.000 (0.001) Loss 1.3085 (1.3611) Prec@1 71.875 (68.341) Prec@5 87.500 (86.895) Epoch: [77][6420/10010] Time 0.326 (0.327) Data 0.001 (0.001) Loss 1.4316 (1.3613) Prec@1 70.312 (68.341) Prec@5 85.938 (86.892) Epoch: [77][6430/10010] Time 0.334 (0.327) Data 0.001 (0.001) Loss 1.3199 (1.3613) Prec@1 68.750 (68.343) Prec@5 84.375 (86.892) Epoch: [77][6440/10010] Time 0.337 (0.327) Data 0.000 (0.001) Loss 1.3814 (1.3612) Prec@1 67.969 (68.345) Prec@5 88.281 (86.894) Epoch: [77][6450/10010] Time 0.338 (0.327) Data 0.001 (0.001) Loss 1.2236 (1.3613) Prec@1 75.000 (68.345) Prec@5 89.844 (86.892) Epoch: [77][6460/10010] Time 0.323 (0.327) Data 0.001 (0.001) Loss 1.3208 (1.3612) Prec@1 68.750 (68.345) Prec@5 85.156 (86.893) Epoch: [77][6470/10010] Time 0.321 (0.327) Data 0.001 (0.001) Loss 1.4999 (1.3614) Prec@1 62.500 (68.341) Prec@5 84.375 (86.890) Epoch: [77][6480/10010] Time 0.321 (0.327) Data 0.001 (0.001) Loss 1.2992 (1.3613) Prec@1 67.188 (68.342) Prec@5 85.156 (86.891) Epoch: [77][6490/10010] Time 0.319 (0.327) Data 0.001 (0.001) Loss 1.4221 (1.3612) Prec@1 66.406 (68.346) Prec@5 85.156 (86.891) Epoch: [77][6500/10010] Time 0.332 (0.327) Data 0.001 (0.001) Loss 1.4463 (1.3613) Prec@1 64.062 (68.345) Prec@5 83.594 (86.890) Epoch: [77][6510/10010] Time 0.334 (0.327) Data 0.001 (0.001) Loss 1.2708 (1.3614) Prec@1 73.438 (68.344) Prec@5 88.281 (86.888) Epoch: [77][6520/10010] Time 0.341 (0.327) Data 0.001 (0.001) Loss 1.2939 (1.3614) Prec@1 69.531 (68.343) Prec@5 89.062 (86.888) Epoch: [77][6530/10010] Time 0.319 (0.327) Data 0.001 (0.001) Loss 1.2647 (1.3613) Prec@1 72.656 (68.344) Prec@5 85.938 (86.888) Epoch: [77][6540/10010] Time 0.337 (0.327) Data 0.000 (0.001) Loss 1.4648 (1.3613) Prec@1 65.625 (68.345) Prec@5 82.812 (86.891) Epoch: [77][6550/10010] Time 0.323 (0.327) Data 0.000 (0.001) Loss 1.6619 (1.3613) Prec@1 65.625 (68.346) Prec@5 84.375 (86.890) Epoch: [77][6560/10010] Time 0.320 (0.327) Data 0.001 (0.001) Loss 1.4604 (1.3613) Prec@1 65.625 (68.344) Prec@5 85.938 (86.891) Epoch: [77][6570/10010] Time 0.326 (0.327) Data 0.000 (0.001) Loss 1.3833 (1.3613) Prec@1 69.531 (68.343) Prec@5 87.500 (86.891) Epoch: [77][6580/10010] Time 0.334 (0.327) Data 0.000 (0.001) Loss 1.4267 (1.3613) Prec@1 71.875 (68.344) Prec@5 84.375 (86.890) Epoch: [77][6590/10010] Time 0.311 (0.327) Data 0.001 (0.001) Loss 1.0822 (1.3615) Prec@1 71.094 (68.342) Prec@5 91.406 (86.888) Epoch: [77][6600/10010] Time 0.319 (0.327) Data 0.001 (0.001) Loss 1.2642 (1.3614) Prec@1 71.094 (68.343) Prec@5 91.406 (86.888) Epoch: [77][6610/10010] Time 0.336 (0.327) Data 0.001 (0.001) Loss 1.5367 (1.3613) Prec@1 69.531 (68.345) Prec@5 85.156 (86.890) Epoch: [77][6620/10010] Time 0.324 (0.327) Data 0.000 (0.001) Loss 1.4303 (1.3614) Prec@1 64.844 (68.347) Prec@5 82.031 (86.888) Epoch: [77][6630/10010] Time 0.326 (0.327) Data 0.000 (0.001) Loss 1.3171 (1.3613) Prec@1 63.281 (68.349) Prec@5 87.500 (86.891) Epoch: [77][6640/10010] Time 0.329 (0.327) Data 0.001 (0.001) Loss 1.6094 (1.3615) Prec@1 65.625 (68.344) Prec@5 85.938 (86.888) Epoch: [77][6650/10010] Time 0.338 (0.327) Data 0.000 (0.001) Loss 1.1803 (1.3616) Prec@1 69.531 (68.342) Prec@5 87.500 (86.886) Epoch: [77][6660/10010] Time 0.325 (0.327) Data 0.000 (0.001) Loss 1.6078 (1.3617) Prec@1 61.719 (68.340) Prec@5 86.719 (86.885) Epoch: [77][6670/10010] Time 0.330 (0.327) Data 0.000 (0.001) Loss 1.3701 (1.3617) Prec@1 67.188 (68.341) Prec@5 86.719 (86.884) Epoch: [77][6680/10010] Time 0.339 (0.327) Data 0.001 (0.001) Loss 1.2701 (1.3618) Prec@1 71.875 (68.340) Prec@5 85.938 (86.882) Epoch: [77][6690/10010] Time 0.322 (0.327) Data 0.000 (0.001) Loss 0.9388 (1.3617) Prec@1 74.219 (68.342) Prec@5 94.531 (86.883) Epoch: [77][6700/10010] Time 0.315 (0.327) Data 0.000 (0.001) Loss 1.4627 (1.3618) Prec@1 58.594 (68.340) Prec@5 84.375 (86.882) Epoch: [77][6710/10010] Time 0.335 (0.327) Data 0.001 (0.001) Loss 1.3370 (1.3620) Prec@1 67.969 (68.336) Prec@5 87.500 (86.881) Epoch: [77][6720/10010] Time 0.329 (0.327) Data 0.000 (0.001) Loss 1.2747 (1.3620) Prec@1 69.531 (68.335) Prec@5 89.844 (86.881) Epoch: [77][6730/10010] Time 0.312 (0.327) Data 0.001 (0.001) Loss 1.4509 (1.3620) Prec@1 66.406 (68.333) Prec@5 85.938 (86.881) Epoch: [77][6740/10010] Time 0.322 (0.327) Data 0.001 (0.001) Loss 1.2971 (1.3620) Prec@1 65.625 (68.334) Prec@5 88.281 (86.882) Epoch: [77][6750/10010] Time 0.319 (0.327) Data 0.001 (0.001) Loss 1.0234 (1.3618) Prec@1 79.688 (68.337) Prec@5 92.969 (86.884) Epoch: [77][6760/10010] Time 0.338 (0.327) Data 0.001 (0.001) Loss 1.3622 (1.3617) Prec@1 68.750 (68.340) Prec@5 85.156 (86.886) Epoch: [77][6770/10010] Time 0.311 (0.327) Data 0.001 (0.001) Loss 1.4566 (1.3618) Prec@1 67.188 (68.339) Prec@5 87.500 (86.886) Epoch: [77][6780/10010] Time 0.337 (0.327) Data 0.000 (0.001) Loss 1.6209 (1.3619) Prec@1 57.031 (68.337) Prec@5 81.250 (86.884) Epoch: [77][6790/10010] Time 0.311 (0.327) Data 0.001 (0.001) Loss 1.5234 (1.3620) Prec@1 64.062 (68.334) Prec@5 84.375 (86.882) Epoch: [77][6800/10010] Time 0.327 (0.327) Data 0.001 (0.001) Loss 1.2370 (1.3619) Prec@1 76.562 (68.336) Prec@5 88.281 (86.883) Epoch: [77][6810/10010] Time 0.327 (0.327) Data 0.001 (0.001) Loss 1.5919 (1.3620) Prec@1 61.719 (68.334) Prec@5 85.938 (86.883) Epoch: [77][6820/10010] Time 0.326 (0.327) Data 0.001 (0.001) Loss 1.2986 (1.3619) Prec@1 65.625 (68.335) Prec@5 88.281 (86.883) Epoch: [77][6830/10010] Time 0.335 (0.327) Data 0.000 (0.001) Loss 1.5947 (1.3618) Prec@1 66.406 (68.336) Prec@5 82.031 (86.884) Epoch: [77][6840/10010] Time 0.313 (0.327) Data 0.001 (0.001) Loss 1.3397 (1.3619) Prec@1 67.188 (68.335) Prec@5 90.625 (86.884) Epoch: [77][6850/10010] Time 0.317 (0.327) Data 0.001 (0.001) Loss 1.5323 (1.3619) Prec@1 65.625 (68.334) Prec@5 85.156 (86.885) Epoch: [77][6860/10010] Time 0.319 (0.327) Data 0.000 (0.001) Loss 1.3719 (1.3619) Prec@1 67.188 (68.334) Prec@5 89.062 (86.886) Epoch: [77][6870/10010] Time 0.329 (0.327) Data 0.001 (0.001) Loss 1.1085 (1.3618) Prec@1 74.219 (68.336) Prec@5 90.625 (86.885) Epoch: [77][6880/10010] Time 0.325 (0.327) Data 0.000 (0.001) Loss 1.3696 (1.3619) Prec@1 73.438 (68.336) Prec@5 87.500 (86.885) Epoch: [77][6890/10010] Time 0.313 (0.327) Data 0.001 (0.001) Loss 1.5112 (1.3618) Prec@1 63.281 (68.337) Prec@5 85.156 (86.886) Epoch: [77][6900/10010] Time 0.322 (0.327) Data 0.001 (0.001) Loss 1.1944 (1.3618) Prec@1 70.312 (68.338) Prec@5 85.938 (86.886) Epoch: [77][6910/10010] Time 0.325 (0.327) Data 0.001 (0.001) Loss 1.7002 (1.3620) Prec@1 59.375 (68.335) Prec@5 84.375 (86.883) Epoch: [77][6920/10010] Time 0.319 (0.327) Data 0.000 (0.001) Loss 1.4797 (1.3621) Prec@1 61.719 (68.334) Prec@5 85.938 (86.882) Epoch: [77][6930/10010] Time 0.322 (0.327) Data 0.000 (0.001) Loss 1.3372 (1.3621) Prec@1 66.406 (68.331) Prec@5 84.375 (86.882) Epoch: [77][6940/10010] Time 0.336 (0.327) Data 0.001 (0.001) Loss 1.2532 (1.3621) Prec@1 69.531 (68.331) Prec@5 87.500 (86.880) Epoch: [77][6950/10010] Time 0.317 (0.327) Data 0.001 (0.001) Loss 1.6976 (1.3621) Prec@1 64.062 (68.331) Prec@5 84.375 (86.879) Epoch: [77][6960/10010] Time 0.317 (0.327) Data 0.001 (0.001) Loss 1.4718 (1.3620) Prec@1 60.156 (68.331) Prec@5 88.281 (86.881) Epoch: [77][6970/10010] Time 0.339 (0.327) Data 0.000 (0.001) Loss 1.5822 (1.3621) Prec@1 66.406 (68.332) Prec@5 82.812 (86.880) Epoch: [77][6980/10010] Time 0.334 (0.327) Data 0.000 (0.001) Loss 1.0845 (1.3619) Prec@1 73.438 (68.335) Prec@5 89.844 (86.882) Epoch: [77][6990/10010] Time 0.319 (0.327) Data 0.001 (0.001) Loss 1.3178 (1.3619) Prec@1 67.969 (68.334) Prec@5 89.062 (86.883) Epoch: [77][7000/10010] Time 0.329 (0.327) Data 0.001 (0.001) Loss 1.2740 (1.3619) Prec@1 70.312 (68.334) Prec@5 88.281 (86.883) Epoch: [77][7010/10010] Time 0.341 (0.327) Data 0.000 (0.001) Loss 1.0699 (1.3619) Prec@1 71.094 (68.334) Prec@5 89.844 (86.883) Epoch: [77][7020/10010] Time 0.320 (0.327) Data 0.001 (0.001) Loss 1.5928 (1.3617) Prec@1 64.062 (68.337) Prec@5 84.375 (86.885) Epoch: [77][7030/10010] Time 0.310 (0.327) Data 0.001 (0.001) Loss 1.4123 (1.3618) Prec@1 70.312 (68.336) Prec@5 84.375 (86.884) Epoch: [77][7040/10010] Time 0.320 (0.327) Data 0.000 (0.001) Loss 1.2237 (1.3618) Prec@1 71.875 (68.337) Prec@5 87.500 (86.884) Epoch: [77][7050/10010] Time 0.338 (0.327) Data 0.000 (0.001) Loss 1.1694 (1.3618) Prec@1 75.000 (68.336) Prec@5 89.844 (86.883) Epoch: [77][7060/10010] Time 0.327 (0.327) Data 0.001 (0.001) Loss 1.5906 (1.3618) Prec@1 59.375 (68.338) Prec@5 83.594 (86.883) Epoch: [77][7070/10010] Time 0.335 (0.327) Data 0.001 (0.001) Loss 1.4111 (1.3617) Prec@1 67.188 (68.341) Prec@5 86.719 (86.883) Epoch: [77][7080/10010] Time 0.320 (0.327) Data 0.001 (0.001) Loss 1.4621 (1.3617) Prec@1 71.094 (68.338) Prec@5 84.375 (86.883) Epoch: [77][7090/10010] Time 0.336 (0.327) Data 0.001 (0.001) Loss 1.3551 (1.3618) Prec@1 69.531 (68.338) Prec@5 82.812 (86.882) Epoch: [77][7100/10010] Time 0.325 (0.327) Data 0.000 (0.001) Loss 1.2587 (1.3617) Prec@1 67.188 (68.339) Prec@5 88.281 (86.884) Epoch: [77][7110/10010] Time 0.323 (0.327) Data 0.000 (0.001) Loss 1.2749 (1.3618) Prec@1 68.750 (68.338) Prec@5 87.500 (86.884) Epoch: [77][7120/10010] Time 0.331 (0.327) Data 0.000 (0.001) Loss 1.2106 (1.3618) Prec@1 69.531 (68.338) Prec@5 91.406 (86.883) Epoch: [77][7130/10010] Time 0.322 (0.327) Data 0.001 (0.001) Loss 1.2326 (1.3618) Prec@1 71.094 (68.341) Prec@5 88.281 (86.884) Epoch: [77][7140/10010] Time 0.334 (0.327) Data 0.000 (0.001) Loss 1.3142 (1.3618) Prec@1 67.969 (68.341) Prec@5 83.594 (86.882) Epoch: [77][7150/10010] Time 0.321 (0.327) Data 0.001 (0.001) Loss 1.2422 (1.3618) Prec@1 74.219 (68.340) Prec@5 88.281 (86.881) Epoch: [77][7160/10010] Time 0.339 (0.327) Data 0.001 (0.001) Loss 1.2537 (1.3618) Prec@1 71.875 (68.341) Prec@5 89.062 (86.883) Epoch: [77][7170/10010] Time 0.329 (0.327) Data 0.001 (0.001) Loss 1.4214 (1.3618) Prec@1 71.094 (68.342) Prec@5 89.844 (86.885) Epoch: [77][7180/10010] Time 0.312 (0.327) Data 0.000 (0.001) Loss 1.4481 (1.3618) Prec@1 63.281 (68.341) Prec@5 85.156 (86.884) Epoch: [77][7190/10010] Time 0.341 (0.327) Data 0.001 (0.001) Loss 1.5504 (1.3619) Prec@1 66.406 (68.339) Prec@5 85.156 (86.883) Epoch: [77][7200/10010] Time 0.329 (0.327) Data 0.000 (0.001) Loss 1.3250 (1.3619) Prec@1 64.062 (68.336) Prec@5 89.062 (86.882) Epoch: [77][7210/10010] Time 0.341 (0.327) Data 0.001 (0.001) Loss 1.6226 (1.3620) Prec@1 64.062 (68.334) Prec@5 85.156 (86.881) Epoch: [77][7220/10010] Time 0.340 (0.327) Data 0.001 (0.001) Loss 1.2779 (1.3621) Prec@1 68.750 (68.330) Prec@5 85.938 (86.879) Epoch: [77][7230/10010] Time 0.317 (0.327) Data 0.001 (0.001) Loss 1.3704 (1.3621) Prec@1 69.531 (68.330) Prec@5 85.938 (86.878) Epoch: [77][7240/10010] Time 0.331 (0.327) Data 0.001 (0.001) Loss 1.3997 (1.3622) Prec@1 65.625 (68.330) Prec@5 88.281 (86.878) Epoch: [77][7250/10010] Time 0.315 (0.327) Data 0.001 (0.001) Loss 1.5927 (1.3621) Prec@1 64.062 (68.330) Prec@5 82.031 (86.878) Epoch: [77][7260/10010] Time 0.342 (0.327) Data 0.001 (0.001) Loss 1.2829 (1.3622) Prec@1 67.969 (68.330) Prec@5 90.625 (86.878) Epoch: [77][7270/10010] Time 0.334 (0.327) Data 0.001 (0.001) Loss 1.4280 (1.3622) Prec@1 64.062 (68.329) Prec@5 84.375 (86.876) Epoch: [77][7280/10010] Time 0.303 (0.327) Data 0.001 (0.001) Loss 1.3313 (1.3623) Prec@1 73.438 (68.327) Prec@5 85.938 (86.875) Epoch: [77][7290/10010] Time 0.333 (0.327) Data 0.001 (0.001) Loss 1.5478 (1.3622) Prec@1 62.500 (68.328) Prec@5 84.375 (86.875) Epoch: [77][7300/10010] Time 0.326 (0.327) Data 0.001 (0.001) Loss 1.3676 (1.3622) Prec@1 67.188 (68.329) Prec@5 88.281 (86.875) Epoch: [77][7310/10010] Time 0.335 (0.327) Data 0.001 (0.001) Loss 1.4183 (1.3622) Prec@1 62.500 (68.328) Prec@5 85.156 (86.875) Epoch: [77][7320/10010] Time 0.322 (0.327) Data 0.000 (0.001) Loss 1.6039 (1.3622) Prec@1 64.844 (68.329) Prec@5 85.156 (86.874) Epoch: [77][7330/10010] Time 0.323 (0.327) Data 0.001 (0.001) Loss 1.2635 (1.3621) Prec@1 67.969 (68.329) Prec@5 89.062 (86.877) Epoch: [77][7340/10010] Time 0.322 (0.327) Data 0.000 (0.001) Loss 1.4897 (1.3622) Prec@1 70.312 (68.330) Prec@5 83.594 (86.876) Epoch: [77][7350/10010] Time 0.326 (0.327) Data 0.001 (0.001) Loss 1.3362 (1.3623) Prec@1 67.969 (68.329) Prec@5 84.375 (86.875) Epoch: [77][7360/10010] Time 0.321 (0.327) Data 0.000 (0.001) Loss 1.5850 (1.3623) Prec@1 62.500 (68.329) Prec@5 83.594 (86.874) Epoch: [77][7370/10010] Time 0.328 (0.327) Data 0.001 (0.001) Loss 1.4270 (1.3624) Prec@1 75.781 (68.328) Prec@5 84.375 (86.873) Epoch: [77][7380/10010] Time 0.330 (0.327) Data 0.001 (0.001) Loss 1.3731 (1.3624) Prec@1 68.750 (68.326) Prec@5 88.281 (86.872) Epoch: [77][7390/10010] Time 0.337 (0.327) Data 0.000 (0.001) Loss 1.4094 (1.3624) Prec@1 66.406 (68.327) Prec@5 87.500 (86.872) Epoch: [77][7400/10010] Time 0.318 (0.327) Data 0.000 (0.001) Loss 1.6336 (1.3623) Prec@1 63.281 (68.329) Prec@5 78.906 (86.872) Epoch: [77][7410/10010] Time 0.335 (0.327) Data 0.000 (0.001) Loss 1.4677 (1.3623) Prec@1 67.969 (68.331) Prec@5 85.156 (86.872) Epoch: [77][7420/10010] Time 0.321 (0.327) Data 0.000 (0.001) Loss 1.3018 (1.3622) Prec@1 71.094 (68.331) Prec@5 88.281 (86.873) Epoch: [77][7430/10010] Time 0.325 (0.327) Data 0.001 (0.001) Loss 1.2083 (1.3622) Prec@1 71.094 (68.330) Prec@5 89.062 (86.872) Epoch: [77][7440/10010] Time 0.323 (0.327) Data 0.000 (0.001) Loss 1.3534 (1.3623) Prec@1 69.531 (68.330) Prec@5 86.719 (86.870) Epoch: [77][7450/10010] Time 0.333 (0.327) Data 0.000 (0.001) Loss 1.6536 (1.3623) Prec@1 60.938 (68.330) Prec@5 84.375 (86.871) Epoch: [77][7460/10010] Time 0.340 (0.327) Data 0.001 (0.001) Loss 1.1626 (1.3625) Prec@1 71.094 (68.324) Prec@5 89.844 (86.868) Epoch: [77][7470/10010] Time 0.332 (0.327) Data 0.000 (0.001) Loss 1.5120 (1.3624) Prec@1 64.844 (68.324) Prec@5 85.156 (86.869) Epoch: [77][7480/10010] Time 0.341 (0.327) Data 0.001 (0.001) Loss 1.5160 (1.3623) Prec@1 66.406 (68.325) Prec@5 85.156 (86.871) Epoch: [77][7490/10010] Time 0.318 (0.327) Data 0.001 (0.001) Loss 1.2644 (1.3623) Prec@1 68.750 (68.326) Prec@5 87.500 (86.871) Epoch: [77][7500/10010] Time 0.333 (0.327) Data 0.001 (0.001) Loss 1.1093 (1.3622) Prec@1 75.781 (68.329) Prec@5 87.500 (86.871) Epoch: [77][7510/10010] Time 0.317 (0.327) Data 0.001 (0.001) Loss 1.2181 (1.3624) Prec@1 69.531 (68.327) Prec@5 91.406 (86.868) Epoch: [77][7520/10010] Time 0.320 (0.327) Data 0.000 (0.001) Loss 1.2977 (1.3624) Prec@1 72.656 (68.328) Prec@5 87.500 (86.869) Epoch: [77][7530/10010] Time 0.322 (0.327) Data 0.001 (0.001) Loss 1.6535 (1.3625) Prec@1 67.188 (68.323) Prec@5 83.594 (86.867) Epoch: [77][7540/10010] Time 0.340 (0.327) Data 0.001 (0.001) Loss 1.4234 (1.3625) Prec@1 67.969 (68.323) Prec@5 85.156 (86.868) Epoch: [77][7550/10010] Time 0.311 (0.327) Data 0.001 (0.001) Loss 1.5589 (1.3625) Prec@1 61.719 (68.321) Prec@5 82.812 (86.868) Epoch: [77][7560/10010] Time 0.333 (0.327) Data 0.000 (0.001) Loss 1.4188 (1.3625) Prec@1 67.188 (68.321) Prec@5 85.938 (86.867) Epoch: [77][7570/10010] Time 0.334 (0.327) Data 0.001 (0.001) Loss 1.2070 (1.3626) Prec@1 70.312 (68.319) Prec@5 88.281 (86.866) Epoch: [77][7580/10010] Time 0.334 (0.327) Data 0.001 (0.001) Loss 1.0292 (1.3626) Prec@1 73.438 (68.320) Prec@5 93.750 (86.865) Epoch: [77][7590/10010] Time 0.333 (0.327) Data 0.001 (0.001) Loss 1.5029 (1.3627) Prec@1 64.844 (68.318) Prec@5 83.594 (86.864) Epoch: [77][7600/10010] Time 0.341 (0.327) Data 0.000 (0.001) Loss 1.2924 (1.3626) Prec@1 69.531 (68.319) Prec@5 91.406 (86.866) Epoch: [77][7610/10010] Time 0.326 (0.327) Data 0.001 (0.001) Loss 1.7373 (1.3628) Prec@1 57.812 (68.315) Prec@5 80.469 (86.863) Epoch: [77][7620/10010] Time 0.317 (0.327) Data 0.001 (0.001) Loss 1.2536 (1.3628) Prec@1 69.531 (68.316) Prec@5 86.719 (86.863) Epoch: [77][7630/10010] Time 0.316 (0.327) Data 0.001 (0.001) Loss 1.3126 (1.3627) Prec@1 72.656 (68.318) Prec@5 90.625 (86.864) Epoch: [77][7640/10010] Time 0.319 (0.327) Data 0.000 (0.001) Loss 1.4772 (1.3628) Prec@1 64.062 (68.318) Prec@5 84.375 (86.864) Epoch: [77][7650/10010] Time 0.323 (0.327) Data 0.001 (0.001) Loss 1.3614 (1.3628) Prec@1 67.969 (68.318) Prec@5 89.844 (86.864) Epoch: [77][7660/10010] Time 0.340 (0.327) Data 0.001 (0.001) Loss 1.4599 (1.3629) Prec@1 68.750 (68.315) Prec@5 84.375 (86.862) Epoch: [77][7670/10010] Time 0.340 (0.327) Data 0.001 (0.001) Loss 1.5487 (1.3629) Prec@1 62.500 (68.314) Prec@5 85.156 (86.862) Epoch: [77][7680/10010] Time 0.323 (0.327) Data 0.000 (0.001) Loss 1.2211 (1.3627) Prec@1 69.531 (68.316) Prec@5 89.062 (86.864) Epoch: [77][7690/10010] Time 0.324 (0.327) Data 0.001 (0.001) Loss 1.8051 (1.3628) Prec@1 58.594 (68.315) Prec@5 82.031 (86.863) Epoch: [77][7700/10010] Time 0.334 (0.327) Data 0.001 (0.001) Loss 1.4028 (1.3627) Prec@1 68.750 (68.317) Prec@5 87.500 (86.865) Epoch: [77][7710/10010] Time 0.317 (0.327) Data 0.001 (0.001) Loss 1.3683 (1.3626) Prec@1 65.625 (68.317) Prec@5 83.594 (86.864) Epoch: [77][7720/10010] Time 0.335 (0.327) Data 0.001 (0.001) Loss 1.3766 (1.3626) Prec@1 65.625 (68.319) Prec@5 85.938 (86.864) Epoch: [77][7730/10010] Time 0.338 (0.327) Data 0.001 (0.001) Loss 1.4337 (1.3627) Prec@1 66.406 (68.315) Prec@5 85.938 (86.863) Epoch: [77][7740/10010] Time 0.323 (0.327) Data 0.000 (0.001) Loss 1.1562 (1.3627) Prec@1 73.438 (68.316) Prec@5 89.844 (86.864) Epoch: [77][7750/10010] Time 0.314 (0.327) Data 0.001 (0.001) Loss 1.2144 (1.3627) Prec@1 68.750 (68.318) Prec@5 89.062 (86.864) Epoch: [77][7760/10010] Time 0.324 (0.327) Data 0.000 (0.001) Loss 1.3533 (1.3627) Prec@1 71.094 (68.318) Prec@5 85.156 (86.864) Epoch: [77][7770/10010] Time 0.331 (0.327) Data 0.000 (0.001) Loss 1.2240 (1.3626) Prec@1 71.875 (68.319) Prec@5 84.375 (86.864) Epoch: [77][7780/10010] Time 0.323 (0.327) Data 0.000 (0.001) Loss 1.3243 (1.3626) Prec@1 64.062 (68.318) Prec@5 85.938 (86.863) Epoch: [77][7790/10010] Time 0.327 (0.327) Data 0.001 (0.001) Loss 1.2595 (1.3625) Prec@1 71.875 (68.321) Prec@5 87.500 (86.865) Epoch: [77][7800/10010] Time 0.323 (0.327) Data 0.000 (0.001) Loss 1.2347 (1.3625) Prec@1 72.656 (68.321) Prec@5 87.500 (86.863) Epoch: [77][7810/10010] Time 0.321 (0.327) Data 0.001 (0.001) Loss 1.4841 (1.3625) Prec@1 62.500 (68.318) Prec@5 87.500 (86.863) Epoch: [77][7820/10010] Time 0.329 (0.327) Data 0.001 (0.001) Loss 1.3676 (1.3627) Prec@1 68.750 (68.316) Prec@5 89.062 (86.862) Epoch: [77][7830/10010] Time 0.332 (0.327) Data 0.000 (0.001) Loss 1.3657 (1.3625) Prec@1 72.656 (68.319) Prec@5 85.938 (86.863) Epoch: [77][7840/10010] Time 0.330 (0.327) Data 0.000 (0.001) Loss 1.3424 (1.3625) Prec@1 67.969 (68.318) Prec@5 90.625 (86.865) Epoch: [77][7850/10010] Time 0.323 (0.327) Data 0.000 (0.001) Loss 1.2108 (1.3625) Prec@1 67.188 (68.318) Prec@5 91.406 (86.866) Epoch: [77][7860/10010] Time 0.338 (0.327) Data 0.001 (0.001) Loss 1.5055 (1.3624) Prec@1 64.062 (68.320) Prec@5 83.594 (86.866) Epoch: [77][7870/10010] Time 0.316 (0.327) Data 0.000 (0.001) Loss 1.3044 (1.3625) Prec@1 66.406 (68.316) Prec@5 86.719 (86.863) Epoch: [77][7880/10010] Time 0.331 (0.327) Data 0.001 (0.001) Loss 1.2045 (1.3625) Prec@1 71.875 (68.316) Prec@5 89.844 (86.865) Epoch: [77][7890/10010] Time 0.318 (0.327) Data 0.001 (0.001) Loss 1.5855 (1.3624) Prec@1 61.719 (68.315) Prec@5 85.156 (86.865) Epoch: [77][7900/10010] Time 0.328 (0.327) Data 0.000 (0.001) Loss 1.6819 (1.3624) Prec@1 61.719 (68.315) Prec@5 79.688 (86.864) Epoch: [77][7910/10010] Time 0.313 (0.327) Data 0.000 (0.001) Loss 1.5498 (1.3625) Prec@1 63.281 (68.312) Prec@5 82.812 (86.863) Epoch: [77][7920/10010] Time 0.317 (0.327) Data 0.001 (0.001) Loss 1.2231 (1.3624) Prec@1 70.312 (68.315) Prec@5 89.844 (86.863) Epoch: [77][7930/10010] Time 0.315 (0.327) Data 0.001 (0.001) Loss 1.3806 (1.3624) Prec@1 70.312 (68.318) Prec@5 84.375 (86.864) Epoch: [77][7940/10010] Time 0.318 (0.327) Data 0.000 (0.001) Loss 1.4367 (1.3623) Prec@1 62.500 (68.319) Prec@5 86.719 (86.865) Epoch: [77][7950/10010] Time 0.338 (0.327) Data 0.001 (0.001) Loss 1.5918 (1.3623) Prec@1 60.156 (68.318) Prec@5 83.594 (86.866) Epoch: [77][7960/10010] Time 0.336 (0.327) Data 0.001 (0.001) Loss 1.2240 (1.3622) Prec@1 71.094 (68.321) Prec@5 89.062 (86.867) Epoch: [77][7970/10010] Time 0.327 (0.327) Data 0.001 (0.001) Loss 1.4839 (1.3623) Prec@1 67.188 (68.320) Prec@5 85.938 (86.866) Epoch: [77][7980/10010] Time 0.338 (0.327) Data 0.001 (0.001) Loss 1.5165 (1.3622) Prec@1 66.406 (68.320) Prec@5 85.156 (86.867) Epoch: [77][7990/10010] Time 0.338 (0.327) Data 0.000 (0.001) Loss 1.2478 (1.3622) Prec@1 68.750 (68.321) Prec@5 93.750 (86.869) Epoch: [77][8000/10010] Time 0.336 (0.327) Data 0.001 (0.001) Loss 1.2802 (1.3622) Prec@1 69.531 (68.322) Prec@5 87.500 (86.868) Epoch: [77][8010/10010] Time 0.312 (0.327) Data 0.001 (0.001) Loss 1.6040 (1.3622) Prec@1 64.844 (68.321) Prec@5 82.812 (86.868) Epoch: [77][8020/10010] Time 0.315 (0.327) Data 0.000 (0.001) Loss 1.2116 (1.3622) Prec@1 71.094 (68.321) Prec@5 89.062 (86.868) Epoch: [77][8030/10010] Time 0.333 (0.327) Data 0.000 (0.001) Loss 1.3878 (1.3623) Prec@1 66.406 (68.320) Prec@5 85.156 (86.865) Epoch: [77][8040/10010] Time 0.321 (0.327) Data 0.001 (0.001) Loss 1.3975 (1.3624) Prec@1 71.875 (68.317) Prec@5 87.500 (86.862) Epoch: [77][8050/10010] Time 0.318 (0.327) Data 0.000 (0.001) Loss 1.4264 (1.3625) Prec@1 70.312 (68.315) Prec@5 87.500 (86.860) Epoch: [77][8060/10010] Time 0.325 (0.327) Data 0.001 (0.001) Loss 1.3315 (1.3624) Prec@1 67.969 (68.316) Prec@5 85.156 (86.861) Epoch: [77][8070/10010] Time 0.315 (0.327) Data 0.001 (0.001) Loss 1.6021 (1.3626) Prec@1 63.281 (68.314) Prec@5 82.812 (86.858) Epoch: [77][8080/10010] Time 0.330 (0.327) Data 0.001 (0.001) Loss 1.2502 (1.3627) Prec@1 71.875 (68.313) Prec@5 91.406 (86.856) Epoch: [77][8090/10010] Time 0.327 (0.327) Data 0.001 (0.001) Loss 1.3271 (1.3627) Prec@1 69.531 (68.312) Prec@5 86.719 (86.856) Epoch: [77][8100/10010] Time 0.312 (0.327) Data 0.001 (0.001) Loss 1.5420 (1.3627) Prec@1 67.188 (68.314) Prec@5 83.594 (86.857) Epoch: [77][8110/10010] Time 0.322 (0.327) Data 0.001 (0.001) Loss 1.3079 (1.3627) Prec@1 65.625 (68.314) Prec@5 89.062 (86.857) Epoch: [77][8120/10010] Time 0.338 (0.327) Data 0.000 (0.001) Loss 1.2721 (1.3627) Prec@1 70.312 (68.315) Prec@5 91.406 (86.858) Epoch: [77][8130/10010] Time 0.318 (0.327) Data 0.001 (0.001) Loss 1.3107 (1.3627) Prec@1 72.656 (68.314) Prec@5 86.719 (86.857) Epoch: [77][8140/10010] Time 0.333 (0.327) Data 0.001 (0.001) Loss 1.4384 (1.3627) Prec@1 69.531 (68.314) Prec@5 85.938 (86.856) Epoch: [77][8150/10010] Time 0.336 (0.327) Data 0.001 (0.001) Loss 1.3174 (1.3628) Prec@1 69.531 (68.314) Prec@5 89.844 (86.856) Epoch: [77][8160/10010] Time 0.336 (0.327) Data 0.001 (0.001) Loss 1.3782 (1.3627) Prec@1 69.531 (68.317) Prec@5 88.281 (86.857) Epoch: [77][8170/10010] Time 0.325 (0.327) Data 0.001 (0.001) Loss 1.6656 (1.3626) Prec@1 64.062 (68.319) Prec@5 82.812 (86.858) Epoch: [77][8180/10010] Time 0.336 (0.327) Data 0.000 (0.001) Loss 1.4219 (1.3627) Prec@1 71.875 (68.317) Prec@5 86.719 (86.857) Epoch: [77][8190/10010] Time 0.321 (0.327) Data 0.001 (0.001) Loss 1.2320 (1.3627) Prec@1 71.875 (68.317) Prec@5 89.062 (86.858) Epoch: [77][8200/10010] Time 0.331 (0.327) Data 0.001 (0.001) Loss 1.2443 (1.3626) Prec@1 67.969 (68.320) Prec@5 88.281 (86.859) Epoch: [77][8210/10010] Time 0.314 (0.327) Data 0.000 (0.001) Loss 1.2131 (1.3625) Prec@1 71.875 (68.321) Prec@5 88.281 (86.858) Epoch: [77][8220/10010] Time 0.310 (0.327) Data 0.001 (0.001) Loss 1.3075 (1.3625) Prec@1 67.969 (68.321) Prec@5 88.281 (86.857) Epoch: [77][8230/10010] Time 0.317 (0.327) Data 0.001 (0.001) Loss 1.1078 (1.3624) Prec@1 75.000 (68.323) Prec@5 92.188 (86.859) Epoch: [77][8240/10010] Time 0.329 (0.327) Data 0.000 (0.001) Loss 1.4305 (1.3623) Prec@1 71.875 (68.325) Prec@5 89.062 (86.861) Epoch: [77][8250/10010] Time 0.326 (0.327) Data 0.000 (0.001) Loss 1.3239 (1.3623) Prec@1 66.406 (68.326) Prec@5 85.156 (86.861) Epoch: [77][8260/10010] Time 0.321 (0.327) Data 0.000 (0.001) Loss 1.2733 (1.3622) Prec@1 71.875 (68.326) Prec@5 92.188 (86.861) Epoch: [77][8270/10010] Time 0.339 (0.327) Data 0.001 (0.001) Loss 1.1984 (1.3623) Prec@1 72.656 (68.326) Prec@5 89.844 (86.860) Epoch: [77][8280/10010] Time 0.318 (0.327) Data 0.001 (0.001) Loss 1.2507 (1.3624) Prec@1 68.750 (68.323) Prec@5 86.719 (86.858) Epoch: [77][8290/10010] Time 0.314 (0.327) Data 0.000 (0.001) Loss 1.2235 (1.3625) Prec@1 70.312 (68.321) Prec@5 90.625 (86.857) Epoch: [77][8300/10010] Time 0.317 (0.327) Data 0.000 (0.001) Loss 1.5519 (1.3626) Prec@1 60.156 (68.318) Prec@5 84.375 (86.857) Epoch: [77][8310/10010] Time 0.320 (0.327) Data 0.001 (0.001) Loss 1.3284 (1.3627) Prec@1 67.188 (68.317) Prec@5 87.500 (86.856) Epoch: [77][8320/10010] Time 0.327 (0.327) Data 0.001 (0.001) Loss 1.3601 (1.3627) Prec@1 67.188 (68.316) Prec@5 86.719 (86.856) Epoch: [77][8330/10010] Time 0.328 (0.327) Data 0.001 (0.001) Loss 1.5025 (1.3628) Prec@1 63.281 (68.315) Prec@5 84.375 (86.855) Epoch: [77][8340/10010] Time 0.321 (0.327) Data 0.001 (0.001) Loss 1.6097 (1.3628) Prec@1 68.750 (68.316) Prec@5 82.812 (86.853) Epoch: [77][8350/10010] Time 0.338 (0.327) Data 0.001 (0.001) Loss 1.4775 (1.3627) Prec@1 62.500 (68.318) Prec@5 85.156 (86.855) Epoch: [77][8360/10010] Time 0.326 (0.327) Data 0.000 (0.001) Loss 1.3769 (1.3628) Prec@1 68.750 (68.317) Prec@5 86.719 (86.855) Epoch: [77][8370/10010] Time 0.321 (0.327) Data 0.001 (0.001) Loss 1.2729 (1.3627) Prec@1 73.438 (68.317) Prec@5 89.062 (86.855) Epoch: [77][8380/10010] Time 0.326 (0.327) Data 0.001 (0.001) Loss 1.4149 (1.3627) Prec@1 66.406 (68.316) Prec@5 84.375 (86.854) Epoch: [77][8390/10010] Time 0.320 (0.327) Data 0.001 (0.001) Loss 1.8914 (1.3629) Prec@1 58.594 (68.313) Prec@5 77.344 (86.851) Epoch: [77][8400/10010] Time 0.326 (0.327) Data 0.001 (0.001) Loss 1.5320 (1.3629) Prec@1 70.312 (68.314) Prec@5 85.156 (86.849) Epoch: [77][8410/10010] Time 0.338 (0.327) Data 0.000 (0.001) Loss 1.1914 (1.3628) Prec@1 73.438 (68.315) Prec@5 85.938 (86.849) Epoch: [77][8420/10010] Time 0.326 (0.327) Data 0.001 (0.001) Loss 1.2304 (1.3628) Prec@1 71.875 (68.317) Prec@5 87.500 (86.849) Epoch: [77][8430/10010] Time 0.318 (0.327) Data 0.001 (0.001) Loss 1.4508 (1.3629) Prec@1 65.625 (68.318) Prec@5 85.156 (86.847) Epoch: [77][8440/10010] Time 0.333 (0.327) Data 0.001 (0.001) Loss 1.0992 (1.3630) Prec@1 70.312 (68.315) Prec@5 89.062 (86.846) Epoch: [77][8450/10010] Time 0.324 (0.327) Data 0.000 (0.001) Loss 1.4207 (1.3631) Prec@1 73.438 (68.312) Prec@5 82.812 (86.843) Epoch: [77][8460/10010] Time 0.337 (0.327) Data 0.001 (0.001) Loss 1.5792 (1.3631) Prec@1 61.719 (68.312) Prec@5 83.594 (86.843) Epoch: [77][8470/10010] Time 0.323 (0.327) Data 0.001 (0.001) Loss 1.5849 (1.3631) Prec@1 66.406 (68.312) Prec@5 84.375 (86.843) Epoch: [77][8480/10010] Time 0.318 (0.327) Data 0.000 (0.001) Loss 1.2959 (1.3630) Prec@1 70.312 (68.314) Prec@5 86.719 (86.843) Epoch: [77][8490/10010] Time 0.316 (0.327) Data 0.001 (0.001) Loss 1.3906 (1.3631) Prec@1 67.188 (68.312) Prec@5 87.500 (86.843) Epoch: [77][8500/10010] Time 0.324 (0.327) Data 0.000 (0.001) Loss 1.5860 (1.3632) Prec@1 65.625 (68.312) Prec@5 83.594 (86.842) Epoch: [77][8510/10010] Time 0.335 (0.327) Data 0.000 (0.001) Loss 1.5520 (1.3632) Prec@1 64.844 (68.312) Prec@5 83.594 (86.840) Epoch: [77][8520/10010] Time 0.315 (0.327) Data 0.001 (0.001) Loss 1.4171 (1.3633) Prec@1 66.406 (68.310) Prec@5 85.938 (86.841) Epoch: [77][8530/10010] Time 0.321 (0.327) Data 0.000 (0.001) Loss 1.6934 (1.3634) Prec@1 60.938 (68.307) Prec@5 81.250 (86.839) Epoch: [77][8540/10010] Time 0.334 (0.327) Data 0.001 (0.001) Loss 1.0431 (1.3634) Prec@1 75.781 (68.307) Prec@5 89.062 (86.838) Epoch: [77][8550/10010] Time 0.335 (0.327) Data 0.001 (0.001) Loss 1.2692 (1.3634) Prec@1 71.094 (68.308) Prec@5 89.062 (86.838) Epoch: [77][8560/10010] Time 0.314 (0.327) Data 0.000 (0.001) Loss 1.3000 (1.3634) Prec@1 67.188 (68.307) Prec@5 88.281 (86.839) Epoch: [77][8570/10010] Time 0.318 (0.327) Data 0.000 (0.001) Loss 1.3100 (1.3634) Prec@1 68.750 (68.308) Prec@5 85.938 (86.840) Epoch: [77][8580/10010] Time 0.322 (0.327) Data 0.001 (0.001) Loss 1.4478 (1.3634) Prec@1 67.969 (68.308) Prec@5 85.156 (86.839) Epoch: [77][8590/10010] Time 0.334 (0.327) Data 0.001 (0.001) Loss 1.7252 (1.3635) Prec@1 65.625 (68.306) Prec@5 82.812 (86.838) Epoch: [77][8600/10010] Time 0.319 (0.327) Data 0.000 (0.001) Loss 1.0771 (1.3634) Prec@1 76.562 (68.307) Prec@5 91.406 (86.839) Epoch: [77][8610/10010] Time 0.339 (0.327) Data 0.000 (0.001) Loss 1.3227 (1.3633) Prec@1 64.844 (68.308) Prec@5 89.062 (86.841) Epoch: [77][8620/10010] Time 0.328 (0.327) Data 0.001 (0.001) Loss 1.4616 (1.3634) Prec@1 66.406 (68.309) Prec@5 82.031 (86.840) Epoch: [77][8630/10010] Time 0.335 (0.327) Data 0.001 (0.001) Loss 1.3936 (1.3634) Prec@1 64.844 (68.308) Prec@5 85.156 (86.838) Epoch: [77][8640/10010] Time 0.319 (0.327) Data 0.001 (0.001) Loss 1.4742 (1.3635) Prec@1 68.750 (68.308) Prec@5 85.156 (86.837) Epoch: [77][8650/10010] Time 0.328 (0.327) Data 0.001 (0.001) Loss 1.6186 (1.3635) Prec@1 60.938 (68.307) Prec@5 85.938 (86.837) Epoch: [77][8660/10010] Time 0.334 (0.327) Data 0.001 (0.001) Loss 1.3735 (1.3635) Prec@1 64.844 (68.307) Prec@5 86.719 (86.838) Epoch: [77][8670/10010] Time 0.313 (0.327) Data 0.001 (0.001) Loss 1.1338 (1.3636) Prec@1 69.531 (68.306) Prec@5 93.750 (86.838) Epoch: [77][8680/10010] Time 0.320 (0.327) Data 0.000 (0.001) Loss 1.3154 (1.3636) Prec@1 66.406 (68.307) Prec@5 87.500 (86.838) Epoch: [77][8690/10010] Time 0.326 (0.327) Data 0.000 (0.001) Loss 1.2183 (1.3635) Prec@1 69.531 (68.308) Prec@5 90.625 (86.838) Epoch: [77][8700/10010] Time 0.330 (0.327) Data 0.000 (0.001) Loss 1.4638 (1.3636) Prec@1 70.312 (68.308) Prec@5 85.938 (86.837) Epoch: [77][8710/10010] Time 0.336 (0.327) Data 0.001 (0.001) Loss 1.2091 (1.3634) Prec@1 70.312 (68.311) Prec@5 89.062 (86.839) Epoch: [77][8720/10010] Time 0.317 (0.327) Data 0.000 (0.001) Loss 1.4674 (1.3634) Prec@1 66.406 (68.312) Prec@5 86.719 (86.839) Epoch: [77][8730/10010] Time 0.326 (0.327) Data 0.000 (0.001) Loss 1.4312 (1.3634) Prec@1 63.281 (68.309) Prec@5 87.500 (86.839) Epoch: [77][8740/10010] Time 0.325 (0.327) Data 0.001 (0.001) Loss 1.5822 (1.3634) Prec@1 64.062 (68.309) Prec@5 83.594 (86.838) Epoch: [77][8750/10010] Time 0.317 (0.327) Data 0.000 (0.001) Loss 1.3992 (1.3634) Prec@1 71.094 (68.310) Prec@5 86.719 (86.838) Epoch: [77][8760/10010] Time 0.319 (0.327) Data 0.000 (0.001) Loss 1.1988 (1.3635) Prec@1 69.531 (68.310) Prec@5 89.062 (86.837) Epoch: [77][8770/10010] Time 0.321 (0.327) Data 0.000 (0.001) Loss 1.0607 (1.3635) Prec@1 72.656 (68.309) Prec@5 92.969 (86.836) Epoch: [77][8780/10010] Time 0.321 (0.327) Data 0.001 (0.001) Loss 1.4901 (1.3634) Prec@1 67.969 (68.311) Prec@5 82.812 (86.837) Epoch: [77][8790/10010] Time 0.340 (0.327) Data 0.001 (0.001) Loss 1.2985 (1.3635) Prec@1 69.531 (68.308) Prec@5 84.375 (86.833) Epoch: [77][8800/10010] Time 0.336 (0.327) Data 0.001 (0.001) Loss 1.5960 (1.3636) Prec@1 67.188 (68.306) Prec@5 82.031 (86.834) Epoch: [77][8810/10010] Time 0.323 (0.327) Data 0.001 (0.001) Loss 1.3486 (1.3637) Prec@1 68.750 (68.304) Prec@5 85.156 (86.832) Epoch: [77][8820/10010] Time 0.322 (0.327) Data 0.000 (0.001) Loss 1.2307 (1.3636) Prec@1 70.312 (68.304) Prec@5 89.844 (86.835) Epoch: [77][8830/10010] Time 0.325 (0.327) Data 0.001 (0.001) Loss 1.3289 (1.3636) Prec@1 70.312 (68.303) Prec@5 89.062 (86.834) Epoch: [77][8840/10010] Time 0.322 (0.327) Data 0.000 (0.001) Loss 1.3025 (1.3636) Prec@1 71.094 (68.304) Prec@5 87.500 (86.834) Epoch: [77][8850/10010] Time 0.331 (0.327) Data 0.001 (0.001) Loss 1.5535 (1.3636) Prec@1 67.188 (68.305) Prec@5 84.375 (86.834) Epoch: [77][8860/10010] Time 0.320 (0.327) Data 0.001 (0.001) Loss 1.5567 (1.3636) Prec@1 67.188 (68.304) Prec@5 82.812 (86.834) Epoch: [77][8870/10010] Time 0.330 (0.327) Data 0.001 (0.001) Loss 1.4117 (1.3636) Prec@1 67.188 (68.304) Prec@5 86.719 (86.834) Epoch: [77][8880/10010] Time 0.319 (0.327) Data 0.001 (0.001) Loss 1.5698 (1.3637) Prec@1 61.719 (68.303) Prec@5 82.031 (86.832) Epoch: [77][8890/10010] Time 0.314 (0.327) Data 0.000 (0.001) Loss 1.0613 (1.3637) Prec@1 74.219 (68.303) Prec@5 95.312 (86.833) Epoch: [77][8900/10010] Time 0.321 (0.327) Data 0.000 (0.001) Loss 1.2012 (1.3637) Prec@1 71.875 (68.302) Prec@5 90.625 (86.833) Epoch: [77][8910/10010] Time 0.337 (0.327) Data 0.001 (0.001) Loss 1.3922 (1.3637) Prec@1 67.969 (68.304) Prec@5 85.938 (86.833) Epoch: [77][8920/10010] Time 0.334 (0.327) Data 0.001 (0.001) Loss 1.2353 (1.3637) Prec@1 73.438 (68.303) Prec@5 88.281 (86.832) Epoch: [77][8930/10010] Time 0.343 (0.327) Data 0.001 (0.001) Loss 1.6613 (1.3637) Prec@1 64.844 (68.305) Prec@5 85.156 (86.833) Epoch: [77][8940/10010] Time 0.335 (0.327) Data 0.000 (0.001) Loss 1.3696 (1.3636) Prec@1 67.188 (68.305) Prec@5 85.938 (86.833) Epoch: [77][8950/10010] Time 0.338 (0.327) Data 0.000 (0.001) Loss 1.1996 (1.3637) Prec@1 73.438 (68.303) Prec@5 87.500 (86.832) Epoch: [77][8960/10010] Time 0.323 (0.327) Data 0.000 (0.001) Loss 1.3896 (1.3638) Prec@1 70.312 (68.304) Prec@5 85.938 (86.830) Epoch: [77][8970/10010] Time 0.338 (0.327) Data 0.001 (0.001) Loss 1.5035 (1.3638) Prec@1 66.406 (68.304) Prec@5 86.719 (86.830) Epoch: [77][8980/10010] Time 0.331 (0.327) Data 0.001 (0.001) Loss 1.4281 (1.3639) Prec@1 66.406 (68.302) Prec@5 85.156 (86.830) Epoch: [77][8990/10010] Time 0.324 (0.327) Data 0.001 (0.001) Loss 1.3006 (1.3639) Prec@1 65.625 (68.302) Prec@5 89.062 (86.831) Epoch: [77][9000/10010] Time 0.337 (0.327) Data 0.001 (0.001) Loss 1.3513 (1.3639) Prec@1 68.750 (68.302) Prec@5 89.062 (86.832) Epoch: [77][9010/10010] Time 0.334 (0.327) Data 0.000 (0.001) Loss 1.4306 (1.3639) Prec@1 66.406 (68.300) Prec@5 83.594 (86.832) Epoch: [77][9020/10010] Time 0.320 (0.327) Data 0.001 (0.001) Loss 1.6295 (1.3639) Prec@1 59.375 (68.299) Prec@5 81.250 (86.832) Epoch: [77][9030/10010] Time 0.333 (0.327) Data 0.001 (0.001) Loss 1.3829 (1.3639) Prec@1 71.875 (68.300) Prec@5 85.938 (86.832) Epoch: [77][9040/10010] Time 0.328 (0.327) Data 0.001 (0.001) Loss 1.2825 (1.3639) Prec@1 71.875 (68.298) Prec@5 83.594 (86.832) Epoch: [77][9050/10010] Time 0.340 (0.327) Data 0.000 (0.001) Loss 1.1857 (1.3639) Prec@1 75.000 (68.300) Prec@5 87.500 (86.832) Epoch: [77][9060/10010] Time 0.329 (0.327) Data 0.001 (0.001) Loss 1.3824 (1.3639) Prec@1 66.406 (68.300) Prec@5 87.500 (86.833) Epoch: [77][9070/10010] Time 0.323 (0.327) Data 0.001 (0.001) Loss 1.3245 (1.3639) Prec@1 70.312 (68.300) Prec@5 89.062 (86.832) Epoch: [77][9080/10010] Time 0.338 (0.327) Data 0.000 (0.001) Loss 1.0834 (1.3639) Prec@1 76.562 (68.300) Prec@5 89.062 (86.833) Epoch: [77][9090/10010] Time 0.329 (0.327) Data 0.000 (0.001) Loss 1.6230 (1.3638) Prec@1 65.625 (68.301) Prec@5 82.031 (86.833) Epoch: [77][9100/10010] Time 0.334 (0.327) Data 0.001 (0.001) Loss 1.3252 (1.3638) Prec@1 64.062 (68.302) Prec@5 88.281 (86.834) Epoch: [77][9110/10010] Time 0.337 (0.327) Data 0.001 (0.001) Loss 1.1120 (1.3637) Prec@1 74.219 (68.304) Prec@5 89.062 (86.836) Epoch: [77][9120/10010] Time 0.340 (0.327) Data 0.000 (0.001) Loss 1.4728 (1.3636) Prec@1 69.531 (68.306) Prec@5 85.156 (86.838) Epoch: [77][9130/10010] Time 0.342 (0.327) Data 0.001 (0.001) Loss 1.0948 (1.3636) Prec@1 74.219 (68.307) Prec@5 92.188 (86.837) Epoch: [77][9140/10010] Time 0.339 (0.327) Data 0.000 (0.001) Loss 1.5663 (1.3637) Prec@1 66.406 (68.305) Prec@5 84.375 (86.836) Epoch: [77][9150/10010] Time 0.312 (0.327) Data 0.000 (0.001) Loss 1.5762 (1.3637) Prec@1 63.281 (68.305) Prec@5 80.469 (86.836) Epoch: [77][9160/10010] Time 0.332 (0.327) Data 0.001 (0.001) Loss 1.4803 (1.3637) Prec@1 67.188 (68.304) Prec@5 86.719 (86.834) Epoch: [77][9170/10010] Time 0.322 (0.327) Data 0.000 (0.001) Loss 1.1549 (1.3636) Prec@1 72.656 (68.306) Prec@5 89.844 (86.836) Epoch: [77][9180/10010] Time 0.322 (0.327) Data 0.000 (0.001) Loss 1.4311 (1.3637) Prec@1 68.750 (68.304) Prec@5 87.500 (86.834) Epoch: [77][9190/10010] Time 0.314 (0.327) Data 0.001 (0.001) Loss 1.3604 (1.3636) Prec@1 68.750 (68.305) Prec@5 85.156 (86.835) Epoch: [77][9200/10010] Time 0.341 (0.327) Data 0.001 (0.001) Loss 1.3490 (1.3636) Prec@1 68.750 (68.306) Prec@5 85.156 (86.835) Epoch: [77][9210/10010] Time 0.338 (0.327) Data 0.000 (0.001) Loss 1.1585 (1.3635) Prec@1 73.438 (68.308) Prec@5 87.500 (86.836) Epoch: [77][9220/10010] Time 0.337 (0.327) Data 0.001 (0.001) Loss 1.3846 (1.3635) Prec@1 65.625 (68.308) Prec@5 88.281 (86.836) Epoch: [77][9230/10010] Time 0.332 (0.327) Data 0.001 (0.001) Loss 1.3740 (1.3636) Prec@1 69.531 (68.306) Prec@5 87.500 (86.835) Epoch: [77][9240/10010] Time 0.330 (0.327) Data 0.000 (0.001) Loss 1.4289 (1.3637) Prec@1 66.406 (68.304) Prec@5 85.156 (86.834) Epoch: [77][9250/10010] Time 0.336 (0.327) Data 0.001 (0.001) Loss 1.4435 (1.3637) Prec@1 68.750 (68.304) Prec@5 83.594 (86.834) Epoch: [77][9260/10010] Time 0.319 (0.327) Data 0.001 (0.001) Loss 1.5282 (1.3637) Prec@1 65.625 (68.301) Prec@5 82.812 (86.832) Epoch: [77][9270/10010] Time 0.325 (0.327) Data 0.001 (0.001) Loss 1.3619 (1.3637) Prec@1 64.062 (68.302) Prec@5 86.719 (86.832) Epoch: [77][9280/10010] Time 0.324 (0.327) Data 0.000 (0.001) Loss 1.3983 (1.3637) Prec@1 57.031 (68.301) Prec@5 87.500 (86.832) Epoch: [77][9290/10010] Time 0.321 (0.327) Data 0.000 (0.001) Loss 1.8551 (1.3638) Prec@1 54.688 (68.299) Prec@5 76.562 (86.830) Epoch: [77][9300/10010] Time 0.312 (0.327) Data 0.001 (0.001) Loss 1.4368 (1.3638) Prec@1 70.312 (68.300) Prec@5 85.938 (86.830) Epoch: [77][9310/10010] Time 0.319 (0.327) Data 0.001 (0.001) Loss 1.1491 (1.3638) Prec@1 67.969 (68.299) Prec@5 89.844 (86.830) Epoch: [77][9320/10010] Time 0.321 (0.327) Data 0.001 (0.001) Loss 1.0690 (1.3638) Prec@1 73.438 (68.299) Prec@5 90.625 (86.830) Epoch: [77][9330/10010] Time 0.323 (0.327) Data 0.000 (0.001) Loss 1.3244 (1.3637) Prec@1 71.094 (68.302) Prec@5 86.719 (86.831) Epoch: [77][9340/10010] Time 0.330 (0.327) Data 0.001 (0.001) Loss 1.6851 (1.3636) Prec@1 60.156 (68.303) Prec@5 81.250 (86.832) Epoch: [77][9350/10010] Time 0.320 (0.327) Data 0.001 (0.001) Loss 1.0940 (1.3636) Prec@1 71.094 (68.305) Prec@5 93.750 (86.834) Epoch: [77][9360/10010] Time 0.321 (0.327) Data 0.000 (0.001) Loss 1.3218 (1.3635) Prec@1 66.406 (68.306) Prec@5 85.938 (86.834) Epoch: [77][9370/10010] Time 0.337 (0.327) Data 0.000 (0.001) Loss 1.1805 (1.3635) Prec@1 67.969 (68.306) Prec@5 87.500 (86.835) Epoch: [77][9380/10010] Time 0.335 (0.327) Data 0.001 (0.001) Loss 1.1689 (1.3634) Prec@1 71.875 (68.307) Prec@5 87.500 (86.836) Epoch: [77][9390/10010] Time 0.335 (0.327) Data 0.001 (0.001) Loss 1.2656 (1.3634) Prec@1 71.875 (68.307) Prec@5 87.500 (86.834) Epoch: [77][9400/10010] Time 0.336 (0.327) Data 0.001 (0.001) Loss 1.2270 (1.3634) Prec@1 75.781 (68.307) Prec@5 86.719 (86.835) Epoch: [77][9410/10010] Time 0.327 (0.327) Data 0.000 (0.001) Loss 1.3481 (1.3635) Prec@1 72.656 (68.307) Prec@5 89.062 (86.834) Epoch: [77][9420/10010] Time 0.334 (0.327) Data 0.001 (0.001) Loss 1.3812 (1.3634) Prec@1 70.312 (68.308) Prec@5 85.938 (86.836) Epoch: [77][9430/10010] Time 0.319 (0.327) Data 0.000 (0.001) Loss 1.3071 (1.3635) Prec@1 67.188 (68.307) Prec@5 87.500 (86.835) Epoch: [77][9440/10010] Time 0.339 (0.327) Data 0.000 (0.001) Loss 1.4525 (1.3635) Prec@1 64.062 (68.307) Prec@5 85.938 (86.834) Epoch: [77][9450/10010] Time 0.316 (0.327) Data 0.001 (0.001) Loss 1.1776 (1.3635) Prec@1 71.094 (68.305) Prec@5 92.188 (86.835) Epoch: [77][9460/10010] Time 0.341 (0.327) Data 0.001 (0.001) Loss 1.3775 (1.3635) Prec@1 67.188 (68.304) Prec@5 83.594 (86.834) Epoch: [77][9470/10010] Time 0.325 (0.327) Data 0.001 (0.001) Loss 1.4117 (1.3635) Prec@1 68.750 (68.304) Prec@5 85.938 (86.833) Epoch: [77][9480/10010] Time 0.324 (0.327) Data 0.000 (0.001) Loss 1.4882 (1.3635) Prec@1 61.719 (68.303) Prec@5 83.594 (86.833) Epoch: [77][9490/10010] Time 0.321 (0.327) Data 0.001 (0.001) Loss 1.1222 (1.3635) Prec@1 75.000 (68.306) Prec@5 86.719 (86.834) Epoch: [77][9500/10010] Time 0.316 (0.327) Data 0.000 (0.001) Loss 1.2141 (1.3635) Prec@1 71.875 (68.303) Prec@5 89.844 (86.832) Epoch: [77][9510/10010] Time 0.329 (0.327) Data 0.001 (0.001) Loss 1.4609 (1.3636) Prec@1 64.844 (68.302) Prec@5 83.594 (86.832) Epoch: [77][9520/10010] Time 0.319 (0.327) Data 0.001 (0.001) Loss 1.3567 (1.3636) Prec@1 72.656 (68.303) Prec@5 85.156 (86.832) Epoch: [77][9530/10010] Time 0.319 (0.327) Data 0.001 (0.001) Loss 1.2969 (1.3636) Prec@1 71.094 (68.304) Prec@5 91.406 (86.833) Epoch: [77][9540/10010] Time 0.319 (0.327) Data 0.000 (0.001) Loss 1.6450 (1.3637) Prec@1 64.062 (68.302) Prec@5 81.250 (86.831) Epoch: [77][9550/10010] Time 0.325 (0.327) Data 0.001 (0.001) Loss 1.2283 (1.3637) Prec@1 69.531 (68.300) Prec@5 89.062 (86.831) Epoch: [77][9560/10010] Time 0.315 (0.327) Data 0.000 (0.001) Loss 1.4210 (1.3637) Prec@1 70.312 (68.299) Prec@5 85.156 (86.830) Epoch: [77][9570/10010] Time 0.338 (0.327) Data 0.000 (0.001) Loss 1.3609 (1.3636) Prec@1 67.969 (68.300) Prec@5 87.500 (86.832) Epoch: [77][9580/10010] Time 0.328 (0.327) Data 0.001 (0.001) Loss 1.5022 (1.3637) Prec@1 66.406 (68.299) Prec@5 82.031 (86.829) Epoch: [77][9590/10010] Time 0.331 (0.327) Data 0.000 (0.001) Loss 1.4138 (1.3637) Prec@1 68.750 (68.299) Prec@5 85.156 (86.830) Epoch: [77][9600/10010] Time 0.320 (0.327) Data 0.001 (0.001) Loss 1.4446 (1.3638) Prec@1 67.188 (68.299) Prec@5 84.375 (86.829) Epoch: [77][9610/10010] Time 0.315 (0.327) Data 0.001 (0.001) Loss 1.3623 (1.3637) Prec@1 64.844 (68.300) Prec@5 86.719 (86.829) Epoch: [77][9620/10010] Time 0.322 (0.327) Data 0.001 (0.001) Loss 1.1930 (1.3638) Prec@1 78.906 (68.299) Prec@5 89.844 (86.828) Epoch: [77][9630/10010] Time 0.323 (0.327) Data 0.000 (0.001) Loss 1.0665 (1.3637) Prec@1 71.094 (68.299) Prec@5 90.625 (86.829) Epoch: [77][9640/10010] Time 0.311 (0.327) Data 0.001 (0.001) Loss 1.6577 (1.3636) Prec@1 67.969 (68.302) Prec@5 78.906 (86.830) Epoch: [77][9650/10010] Time 0.320 (0.327) Data 0.001 (0.001) Loss 1.2938 (1.3636) Prec@1 67.969 (68.301) Prec@5 85.938 (86.830) Epoch: [77][9660/10010] Time 0.339 (0.327) Data 0.000 (0.001) Loss 1.3672 (1.3637) Prec@1 69.531 (68.299) Prec@5 89.062 (86.829) Epoch: [77][9670/10010] Time 0.318 (0.327) Data 0.000 (0.001) Loss 1.7101 (1.3637) Prec@1 65.625 (68.299) Prec@5 79.688 (86.829) Epoch: [77][9680/10010] Time 0.317 (0.327) Data 0.001 (0.001) Loss 1.5934 (1.3637) Prec@1 68.750 (68.298) Prec@5 81.250 (86.828) Epoch: [77][9690/10010] Time 0.312 (0.327) Data 0.001 (0.001) Loss 1.2388 (1.3637) Prec@1 75.000 (68.299) Prec@5 89.844 (86.827) Epoch: [77][9700/10010] Time 0.329 (0.327) Data 0.000 (0.001) Loss 1.3914 (1.3637) Prec@1 71.094 (68.300) Prec@5 85.156 (86.827) Epoch: [77][9710/10010] Time 0.320 (0.327) Data 0.001 (0.001) Loss 1.3912 (1.3638) Prec@1 71.094 (68.300) Prec@5 85.938 (86.827) /data/vision/torralba/deepscene/lib/anaconda2/lib/python2.7/site-packages/PIL/TiffImagePlugin.py:692: UserWarning: Possibly corrupt EXIF data. Expecting to read 2555904 bytes but only got 0. Skipping tag 0 "Skipping tag %s" % (size, len(data), tag)) Epoch: [77][9720/10010] Time 0.315 (0.327) Data 0.000 (0.001) Loss 1.4551 (1.3638) Prec@1 64.844 (68.299) Prec@5 85.938 (86.827) Epoch: [77][9730/10010] Time 0.326 (0.327) Data 0.001 (0.001) Loss 1.4763 (1.3638) Prec@1 61.719 (68.298) Prec@5 87.500 (86.828) Epoch: [77][9740/10010] Time 0.340 (0.327) Data 0.001 (0.001) Loss 1.3981 (1.3639) Prec@1 64.062 (68.295) Prec@5 85.156 (86.826) Epoch: [77][9750/10010] Time 0.318 (0.327) Data 0.000 (0.001) Loss 1.3050 (1.3639) Prec@1 68.750 (68.296) Prec@5 85.156 (86.825) Epoch: [77][9760/10010] Time 0.329 (0.327) Data 0.001 (0.001) Loss 1.2645 (1.3639) Prec@1 75.781 (68.296) Prec@5 85.938 (86.825) Epoch: [77][9770/10010] Time 0.332 (0.327) Data 0.001 (0.001) Loss 1.3635 (1.3639) Prec@1 67.188 (68.297) Prec@5 89.844 (86.826) Epoch: [77][9780/10010] Time 0.340 (0.327) Data 0.001 (0.001) Loss 1.2754 (1.3638) Prec@1 70.312 (68.298) Prec@5 88.281 (86.826) Epoch: [77][9790/10010] Time 0.317 (0.327) Data 0.000 (0.001) Loss 1.6238 (1.3638) Prec@1 63.281 (68.298) Prec@5 83.594 (86.826) Epoch: [77][9800/10010] Time 0.335 (0.327) Data 0.001 (0.001) Loss 1.4011 (1.3638) Prec@1 63.281 (68.298) Prec@5 86.719 (86.825) Epoch: [77][9810/10010] Time 0.337 (0.327) Data 0.001 (0.001) Loss 1.2237 (1.3639) Prec@1 65.625 (68.296) Prec@5 88.281 (86.823) Epoch: [77][9820/10010] Time 0.335 (0.327) Data 0.001 (0.001) Loss 1.6869 (1.3640) Prec@1 57.031 (68.293) Prec@5 82.812 (86.821) Epoch: [77][9830/10010] Time 0.311 (0.327) Data 0.001 (0.001) Loss 1.1425 (1.3640) Prec@1 71.875 (68.295) Prec@5 90.625 (86.822) Epoch: [77][9840/10010] Time 0.336 (0.327) Data 0.000 (0.001) Loss 1.3807 (1.3640) Prec@1 70.312 (68.295) Prec@5 88.281 (86.821) Epoch: [77][9850/10010] Time 0.342 (0.327) Data 0.000 (0.001) Loss 1.2442 (1.3640) Prec@1 71.094 (68.295) Prec@5 87.500 (86.822) Epoch: [77][9860/10010] Time 0.310 (0.327) Data 0.001 (0.001) Loss 1.4941 (1.3641) Prec@1 63.281 (68.294) Prec@5 82.812 (86.819) Epoch: [77][9870/10010] Time 0.339 (0.327) Data 0.001 (0.001) Loss 1.7834 (1.3640) Prec@1 61.719 (68.296) Prec@5 82.031 (86.820) Epoch: [77][9880/10010] Time 0.330 (0.327) Data 0.000 (0.001) Loss 1.4067 (1.3641) Prec@1 65.625 (68.295) Prec@5 85.938 (86.820) /data/vision/torralba/deepscene/lib/anaconda2/lib/python2.7/site-packages/PIL/TiffImagePlugin.py:692: UserWarning: Possibly corrupt EXIF data. Expecting to read 2555904 bytes but only got 0. Skipping tag 0 "Skipping tag %s" % (size, len(data), tag)) Epoch: [77][9890/10010] Time 0.341 (0.327) Data 0.001 (0.001) Loss 1.5561 (1.3640) Prec@1 60.938 (68.297) Prec@5 83.594 (86.820) Epoch: [77][9900/10010] Time 0.314 (0.327) Data 0.000 (0.001) Loss 1.2447 (1.3640) Prec@1 71.875 (68.297) Prec@5 90.625 (86.820) Epoch: [77][9910/10010] Time 0.320 (0.327) Data 0.001 (0.001) Loss 1.4607 (1.3640) Prec@1 62.500 (68.298) Prec@5 86.719 (86.821) Epoch: [77][9920/10010] Time 0.334 (0.327) Data 0.001 (0.001) Loss 1.1378 (1.3639) Prec@1 74.219 (68.298) Prec@5 89.844 (86.822) Epoch: [77][9930/10010] Time 0.322 (0.327) Data 0.001 (0.001) Loss 1.3816 (1.3639) Prec@1 65.625 (68.298) Prec@5 90.625 (86.823) Epoch: [77][9940/10010] Time 0.320 (0.327) Data 0.001 (0.001) Loss 1.5758 (1.3640) Prec@1 67.188 (68.297) Prec@5 85.938 (86.823) Epoch: [77][9950/10010] Time 0.321 (0.327) Data 0.000 (0.001) Loss 1.5492 (1.3639) Prec@1 62.500 (68.298) Prec@5 84.375 (86.823) Epoch: [77][9960/10010] Time 0.336 (0.327) Data 0.000 (0.001) Loss 1.5833 (1.3640) Prec@1 63.281 (68.297) Prec@5 82.812 (86.821) Epoch: [77][9970/10010] Time 0.319 (0.327) Data 0.000 (0.001) Loss 1.5634 (1.3640) Prec@1 59.375 (68.295) Prec@5 86.719 (86.821) Epoch: [77][9980/10010] Time 0.323 (0.327) Data 0.001 (0.001) Loss 1.2811 (1.3640) Prec@1 67.969 (68.295) Prec@5 86.719 (86.821) Epoch: [77][9990/10010] Time 0.318 (0.327) Data 0.000 (0.001) Loss 1.3133 (1.3640) Prec@1 68.750 (68.295) Prec@5 83.594 (86.820) Epoch: [77][10000/10010] Time 0.318 (0.327) Data 0.000 (0.001) Loss 1.5408 (1.3641) Prec@1 62.500 (68.295) Prec@5 85.156 (86.820) Test: [0/391] Time 1.441 (1.441) Loss 0.6506 (0.6506) Prec@1 83.594 (83.594) Prec@5 95.312 (95.312) Test: [10/391] Time 0.109 (0.228) Loss 1.1355 (0.6357) Prec@1 71.875 (84.730) Prec@5 91.406 (95.526) Test: [20/391] Time 0.113 (0.172) Loss 0.8937 (0.9114) Prec@1 76.562 (77.158) Prec@5 92.969 (92.820) Test: [30/391] Time 0.101 (0.152) Loss 1.4692 (1.0302) Prec@1 71.094 (74.093) Prec@5 88.281 (91.910) Test: [40/391] Time 0.106 (0.141) Loss 0.9347 (0.9311) Prec@1 80.469 (76.524) Prec@5 89.844 (92.702) Test: [50/391] Time 0.103 (0.136) Loss 0.4984 (0.9530) Prec@1 88.281 (76.486) Prec@5 96.875 (92.356) Test: [60/391] Time 0.103 (0.131) Loss 1.0601 (0.9023) Prec@1 78.125 (77.818) Prec@5 92.969 (92.879) Test: [70/391] Time 0.099 (0.127) Loss 1.0685 (0.9303) Prec@1 65.625 (76.651) Prec@5 93.750 (92.870) Test: [80/391] Time 0.103 (0.124) Loss 0.9678 (0.9417) Prec@1 73.438 (75.945) Prec@5 92.188 (92.949) Test: [90/391] Time 0.109 (0.123) Loss 1.0809 (0.9432) Prec@1 60.156 (75.764) Prec@5 95.312 (93.055) Test: [100/391] Time 0.103 (0.121) Loss 0.5920 (0.9334) Prec@1 84.375 (75.704) Prec@5 97.656 (93.325) Test: [110/391] Time 0.102 (0.120) Loss 1.2842 (0.9340) Prec@1 51.562 (75.528) Prec@5 94.531 (93.490) Test: [120/391] Time 0.107 (0.119) Loss 0.7346 (0.9293) Prec@1 79.688 (75.781) Prec@5 96.875 (93.537) Test: [130/391] Time 0.110 (0.118) Loss 0.4672 (0.9247) Prec@1 90.625 (76.032) Prec@5 96.094 (93.547) Test: [140/391] Time 0.203 (0.117) Loss 1.2140 (0.9250) Prec@1 64.844 (75.864) Prec@5 91.406 (93.600) Test: [150/391] Time 0.105 (0.117) Loss 0.9448 (0.9311) Prec@1 71.875 (75.854) Prec@5 93.750 (93.424) Test: [160/391] Time 0.104 (0.116) Loss 0.8509 (0.9365) Prec@1 76.562 (75.801) Prec@5 94.531 (93.376) Test: [170/391] Time 0.103 (0.115) Loss 1.6361 (0.9658) Prec@1 59.375 (75.224) Prec@5 87.500 (93.019) Test: [180/391] Time 0.103 (0.115) Loss 1.9196 (0.9970) Prec@1 55.469 (74.542) Prec@5 85.938 (92.606) Test: [190/391] Time 0.106 (0.115) Loss 1.9189 (1.0297) Prec@1 58.594 (73.879) Prec@5 83.594 (92.192) Test: [200/391] Time 0.104 (0.114) Loss 1.0035 (1.0581) Prec@1 71.875 (73.294) Prec@5 93.750 (91.810) Test: [210/391] Time 0.101 (0.113) Loss 1.5037 (1.0762) Prec@1 66.406 (72.960) Prec@5 86.719 (91.588) Test: [220/391] Time 0.102 (0.113) Loss 0.6212 (1.0866) Prec@1 84.375 (72.766) Prec@5 96.094 (91.382) Test: [230/391] Time 0.103 (0.113) Loss 2.1163 (1.0993) Prec@1 49.219 (72.511) Prec@5 79.688 (91.244) Test: [240/391] Time 0.107 (0.113) Loss 1.4514 (1.1077) Prec@1 71.094 (72.452) Prec@5 85.156 (91.102) Test: [250/391] Time 0.107 (0.112) Loss 0.7225 (1.1317) Prec@1 81.250 (71.881) Prec@5 94.531 (90.793) Test: [260/391] Time 0.106 (0.112) Loss 1.4700 (1.1470) Prec@1 63.281 (71.576) Prec@5 85.938 (90.598) Test: [270/391] Time 0.101 (0.112) Loss 2.0933 (1.1586) Prec@1 52.344 (71.333) Prec@5 82.031 (90.438) Test: [280/391] Time 0.111 (0.112) Loss 1.2610 (1.1643) Prec@1 66.406 (71.272) Prec@5 91.406 (90.366) Test: [290/391] Time 0.102 (0.112) Loss 1.5857 (1.1747) Prec@1 47.656 (71.037) Prec@5 90.625 (90.179) Test: [300/391] Time 0.103 (0.111) Loss 1.2318 (1.1841) Prec@1 78.906 (70.873) Prec@5 87.500 (90.046) Test: [310/391] Time 0.099 (0.111) Loss 1.6420 (1.1940) Prec@1 64.062 (70.674) Prec@5 82.031 (89.907) Test: [320/391] Time 0.106 (0.111) Loss 0.8832 (1.2016) Prec@1 82.812 (70.558) Prec@5 92.188 (89.824) Test: [330/391] Time 0.107 (0.111) Loss 1.9579 (1.2206) Prec@1 54.688 (70.143) Prec@5 79.688 (89.565) Test: [340/391] Time 0.103 (0.111) Loss 1.0988 (1.2254) Prec@1 67.969 (70.015) Prec@5 94.531 (89.523) Test: [350/391] Time 0.106 (0.111) Loss 1.2950 (1.2302) Prec@1 68.750 (69.930) Prec@5 91.406 (89.441) Test: [360/391] Time 0.100 (0.111) Loss 1.3208 (1.2381) Prec@1 64.062 (69.800) Prec@5 91.406 (89.381) Test: [370/391] Time 0.146 (0.111) Loss 1.0810 (1.2325) Prec@1 67.188 (69.872) Prec@5 95.312 (89.465) Test: [380/391] Time 0.106 (0.111) Loss 0.9426 (1.2343) Prec@1 77.344 (69.833) Prec@5 94.531 (89.421) Test: [390/391] Time 0.074 (0.110) Loss 2.0672 (1.2281) Prec@1 38.750 (69.980) Prec@5 80.000 (89.496) * Prec@1 69.980 Prec@5 89.496 Epoch: [78][0/10010] Time 2.856 (2.856) Data 2.678 (2.678) Loss 1.4478 (1.4478) Prec@1 68.750 (68.750) Prec@5 88.281 (88.281) Epoch: [78][10/10010] Time 0.316 (0.548) Data 0.000 (0.244) Loss 1.2863 (1.3081) Prec@1 71.875 (70.099) Prec@5 85.938 (88.281) Epoch: [78][20/10010] Time 0.315 (0.438) Data 0.001 (0.128) Loss 1.5151 (1.3521) Prec@1 67.188 (69.010) Prec@5 86.719 (87.426) Epoch: [78][30/10010] Time 0.316 (0.399) Data 0.001 (0.087) Loss 1.3914 (1.3592) Prec@1 65.625 (67.918) Prec@5 85.156 (87.046) Epoch: [78][40/10010] Time 0.319 (0.379) Data 0.000 (0.066) Loss 1.2991 (1.3502) Prec@1 66.406 (68.369) Prec@5 89.844 (87.176) Epoch: [78][50/10010] Time 0.332 (0.367) Data 0.001 (0.053) Loss 1.5130 (1.3445) Prec@1 64.062 (68.673) Prec@5 84.375 (87.408) Epoch: [78][60/10010] Time 0.312 (0.359) Data 0.001 (0.045) Loss 1.3426 (1.3492) Prec@1 69.531 (68.584) Prec@5 84.375 (87.334) Epoch: [78][70/10010] Time 0.322 (0.355) Data 0.001 (0.038) Loss 1.3388 (1.3414) Prec@1 64.844 (68.453) Prec@5 86.719 (87.335) Epoch: [78][80/10010] Time 0.312 (0.352) Data 0.001 (0.034) Loss 1.2731 (1.3416) Prec@1 70.312 (68.740) Prec@5 87.500 (87.114) Epoch: [78][90/10010] Time 0.320 (0.348) Data 0.001 (0.030) Loss 1.2881 (1.3434) Prec@1 70.312 (68.733) Prec@5 91.406 (87.234) Epoch: [78][100/10010] Time 0.338 (0.347) Data 0.001 (0.027) Loss 1.0984 (1.3348) Prec@1 74.219 (69.106) Prec@5 92.188 (87.276) Epoch: [78][110/10010] Time 0.318 (0.345) Data 0.001 (0.025) Loss 1.4121 (1.3438) Prec@1 64.844 (68.912) Prec@5 85.938 (87.226) Epoch: [78][120/10010] Time 0.335 (0.343) Data 0.001 (0.023) Loss 1.3427 (1.3410) Prec@1 70.312 (68.957) Prec@5 85.938 (87.248) Epoch: [78][130/10010] Time 0.315 (0.342) Data 0.001 (0.021) Loss 1.5404 (1.3506) Prec@1 62.500 (68.804) Prec@5 83.594 (87.089) Epoch: [78][140/10010] Time 0.336 (0.341) Data 0.001 (0.020) Loss 1.3036 (1.3570) Prec@1 72.656 (68.551) Prec@5 88.281 (87.012) Epoch: [78][150/10010] Time 0.339 (0.341) Data 0.001 (0.018) Loss 1.3700 (1.3593) Prec@1 67.188 (68.476) Prec@5 85.156 (86.926) Epoch: [78][160/10010] Time 0.325 (0.340) Data 0.000 (0.017) Loss 1.3534 (1.3566) Prec@1 64.062 (68.507) Prec@5 85.938 (86.952) Epoch: [78][170/10010] Time 0.327 (0.339) Data 0.000 (0.016) Loss 1.4436 (1.3617) Prec@1 64.844 (68.321) Prec@5 85.938 (86.920) Epoch: [78][180/10010] Time 0.309 (0.338) Data 0.001 (0.015) Loss 1.5040 (1.3598) Prec@1 72.656 (68.318) Prec@5 85.938 (86.952) Epoch: [78][190/10010] Time 0.336 (0.337) Data 0.001 (0.015) Loss 1.4154 (1.3564) Prec@1 67.188 (68.464) Prec@5 85.938 (86.964) Epoch: [78][200/10010] Time 0.317 (0.337) Data 0.001 (0.014) Loss 1.5866 (1.3542) Prec@1 66.406 (68.540) Prec@5 85.938 (87.030) Epoch: [78][210/10010] Time 0.318 (0.336) Data 0.001 (0.013) Loss 1.2171 (1.3508) Prec@1 73.438 (68.587) Prec@5 89.062 (87.093) Epoch: [78][220/10010] Time 0.322 (0.336) Data 0.000 (0.013) Loss 1.5234 (1.3510) Prec@1 66.406 (68.591) Prec@5 83.594 (87.079) Epoch: [78][230/10010] Time 0.328 (0.335) Data 0.000 (0.012) Loss 1.6063 (1.3519) Prec@1 64.062 (68.588) Prec@5 83.594 (87.060) Epoch: [78][240/10010] Time 0.336 (0.335) Data 0.001 (0.012) Loss 1.5991 (1.3556) Prec@1 64.844 (68.513) Prec@5 83.594 (86.968) Epoch: [78][250/10010] Time 0.318 (0.335) Data 0.001 (0.011) Loss 1.7376 (1.3614) Prec@1 60.938 (68.373) Prec@5 83.594 (86.906) Epoch: [78][260/10010] Time 0.326 (0.334) Data 0.001 (0.011) Loss 1.3627 (1.3675) Prec@1 71.094 (68.313) Prec@5 87.500 (86.859) Epoch: [78][270/10010] Time 0.327 (0.334) Data 0.001 (0.011) Loss 1.1287 (1.3662) Prec@1 75.781 (68.358) Prec@5 89.844 (86.874) Epoch: [78][280/10010] Time 0.319 (0.334) Data 0.001 (0.010) Loss 1.4680 (1.3678) Prec@1 65.625 (68.258) Prec@5 85.938 (86.855) Epoch: [78][290/10010] Time 0.330 (0.333) Data 0.000 (0.010) Loss 1.5390 (1.3689) Prec@1 64.062 (68.197) Prec@5 84.375 (86.858) Epoch: [78][300/10010] Time 0.312 (0.333) Data 0.000 (0.010) Loss 1.7077 (1.3692) Prec@1 64.844 (68.174) Prec@5 82.031 (86.880) Epoch: [78][310/10010] Time 0.328 (0.333) Data 0.001 (0.009) Loss 1.0931 (1.3670) Prec@1 74.219 (68.253) Prec@5 90.625 (86.867) Epoch: [78][320/10010] Time 0.333 (0.333) Data 0.001 (0.009) Loss 1.4833 (1.3701) Prec@1 64.062 (68.166) Prec@5 84.375 (86.850) Epoch: [78][330/10010] Time 0.335 (0.333) Data 0.001 (0.009) Loss 1.3254 (1.3720) Prec@1 67.188 (68.146) Prec@5 88.281 (86.801) Epoch: [78][340/10010] Time 0.316 (0.332) Data 0.001 (0.009) Loss 1.2566 (1.3721) Prec@1 71.875 (68.198) Prec@5 89.844 (86.822) Epoch: [78][350/10010] Time 0.323 (0.332) Data 0.001 (0.008) Loss 1.5932 (1.3709) Prec@1 66.406 (68.240) Prec@5 85.156 (86.841) Epoch: [78][360/10010] Time 0.340 (0.332) Data 0.001 (0.008) Loss 1.2510 (1.3725) Prec@1 73.438 (68.213) Prec@5 88.281 (86.814) Epoch: [78][370/10010] Time 0.313 (0.332) Data 0.001 (0.008) Loss 1.7982 (1.3735) Prec@1 58.594 (68.177) Prec@5 84.375 (86.814) Epoch: [78][380/10010] Time 0.328 (0.332) Data 0.001 (0.008) Loss 1.3423 (1.3701) Prec@1 66.406 (68.260) Prec@5 85.938 (86.879) Epoch: [78][390/10010] Time 0.317 (0.332) Data 0.000 (0.008) Loss 1.4647 (1.3690) Prec@1 63.281 (68.280) Prec@5 85.938 (86.887) Epoch: [78][400/10010] Time 0.327 (0.331) Data 0.001 (0.007) Loss 1.4643 (1.3691) Prec@1 66.406 (68.288) Prec@5 85.156 (86.884) Epoch: [78][410/10010] Time 0.329 (0.331) Data 0.001 (0.007) Loss 1.5197 (1.3678) Prec@1 70.312 (68.336) Prec@5 86.719 (86.913) Epoch: [78][420/10010] Time 0.320 (0.331) Data 0.001 (0.007) Loss 1.5359 (1.3667) Prec@1 64.062 (68.351) Prec@5 82.812 (86.943) Epoch: [78][430/10010] Time 0.317 (0.331) Data 0.000 (0.007) Loss 1.2794 (1.3680) Prec@1 69.531 (68.310) Prec@5 83.594 (86.922) Epoch: [78][440/10010] Time 0.335 (0.331) Data 0.001 (0.007) Loss 1.3825 (1.3669) Prec@1 71.094 (68.346) Prec@5 85.156 (86.947) Epoch: [78][450/10010] Time 0.319 (0.331) Data 0.001 (0.007) Loss 1.4585 (1.3664) Prec@1 68.750 (68.369) Prec@5 82.812 (86.937) Epoch: [78][460/10010] Time 0.320 (0.331) Data 0.001 (0.006) Loss 1.5610 (1.3653) Prec@1 69.531 (68.398) Prec@5 82.812 (86.926) Epoch: [78][470/10010] Time 0.313 (0.331) Data 0.001 (0.006) Loss 1.1988 (1.3647) Prec@1 71.094 (68.417) Prec@5 87.500 (86.924) Epoch: [78][480/10010] Time 0.334 (0.331) Data 0.000 (0.006) Loss 1.3909 (1.3626) Prec@1 65.625 (68.456) Prec@5 85.938 (86.941) /data/vision/torralba/deepscene/lib/anaconda2/lib/python2.7/site-packages/PIL/TiffImagePlugin.py:692: UserWarning: Possibly corrupt EXIF data. Expecting to read 2555904 bytes but only got 0. Skipping tag 0 "Skipping tag %s" % (size, len(data), tag)) Epoch: [78][490/10010] Time 0.322 (0.331) Data 0.001 (0.006) Loss 1.4834 (1.3636) Prec@1 67.969 (68.468) Prec@5 85.938 (86.924) Epoch: [78][500/10010] Time 0.314 (0.331) Data 0.001 (0.006) Loss 1.5769 (1.3639) Prec@1 63.281 (68.443) Prec@5 81.250 (86.909) Epoch: [78][510/10010] Time 0.320 (0.331) Data 0.000 (0.006) Loss 1.5588 (1.3636) Prec@1 64.844 (68.456) Prec@5 83.594 (86.913) Epoch: [78][520/10010] Time 0.327 (0.331) Data 0.001 (0.006) Loss 1.1461 (1.3610) Prec@1 75.000 (68.515) Prec@5 89.062 (86.941) Epoch: [78][530/10010] Time 0.333 (0.331) Data 0.001 (0.006) Loss 1.2721 (1.3604) Prec@1 75.000 (68.534) Prec@5 87.500 (86.934) Epoch: [78][540/10010] Time 0.321 (0.330) Data 0.001 (0.006) Loss 1.5073 (1.3601) Prec@1 64.062 (68.518) Prec@5 85.156 (86.938) Epoch: [78][550/10010] Time 0.319 (0.330) Data 0.001 (0.006) Loss 1.2328 (1.3590) Prec@1 75.781 (68.539) Prec@5 89.062 (86.930) Epoch: [78][560/10010] Time 0.329 (0.330) Data 0.001 (0.005) Loss 1.3590 (1.3590) Prec@1 70.312 (68.541) Prec@5 84.375 (86.932) Epoch: [78][570/10010] Time 0.329 (0.330) Data 0.001 (0.005) Loss 1.6836 (1.3589) Prec@1 64.844 (68.545) Prec@5 82.031 (86.932) Epoch: [78][580/10010] Time 0.321 (0.330) Data 0.000 (0.005) Loss 1.3511 (1.3587) Prec@1 69.531 (68.573) Prec@5 88.281 (86.930) Epoch: [78][590/10010] Time 0.323 (0.330) Data 0.001 (0.005) Loss 1.3332 (1.3586) Prec@1 68.750 (68.597) Prec@5 87.500 (86.930) Epoch: [78][600/10010] Time 0.325 (0.330) Data 0.000 (0.005) Loss 1.0382 (1.3571) Prec@1 75.000 (68.624) Prec@5 90.625 (86.962) Epoch: [78][610/10010] Time 0.329 (0.330) Data 0.001 (0.005) Loss 1.4596 (1.3583) Prec@1 68.750 (68.608) Prec@5 85.156 (86.930) Epoch: [78][620/10010] Time 0.314 (0.330) Data 0.001 (0.005) Loss 1.5245 (1.3581) Prec@1 64.844 (68.630) Prec@5 83.594 (86.918) Epoch: [78][630/10010] Time 0.328 (0.330) Data 0.001 (0.005) Loss 1.2510 (1.3569) Prec@1 71.094 (68.667) Prec@5 89.062 (86.926) Epoch: [78][640/10010] Time 0.313 (0.330) Data 0.001 (0.005) Loss 1.4206 (1.3575) Prec@1 66.406 (68.659) Prec@5 87.500 (86.906) Epoch: [78][650/10010] Time 0.325 (0.329) Data 0.000 (0.005) Loss 1.3730 (1.3578) Prec@1 67.969 (68.661) Prec@5 83.594 (86.870) Epoch: [78][660/10010] Time 0.311 (0.329) Data 0.001 (0.005) Loss 1.2732 (1.3560) Prec@1 69.531 (68.689) Prec@5 89.062 (86.897) Epoch: [78][670/10010] Time 0.320 (0.329) Data 0.001 (0.005) Loss 1.1947 (1.3552) Prec@1 69.531 (68.716) Prec@5 87.500 (86.903) Epoch: [78][680/10010] Time 0.319 (0.329) Data 0.000 (0.005) Loss 1.3794 (1.3550) Prec@1 70.312 (68.722) Prec@5 85.156 (86.894) Epoch: [78][690/10010] Time 0.322 (0.329) Data 0.001 (0.005) Loss 1.2398 (1.3553) Prec@1 64.844 (68.703) Prec@5 89.844 (86.894) Epoch: [78][700/10010] Time 0.333 (0.329) Data 0.001 (0.004) Loss 1.1827 (1.3545) Prec@1 68.750 (68.719) Prec@5 88.281 (86.904) Epoch: [78][710/10010] Time 0.326 (0.329) Data 0.000 (0.004) Loss 0.9746 (1.3542) Prec@1 75.781 (68.716) Prec@5 92.188 (86.908) Epoch: [78][720/10010] Time 0.325 (0.329) Data 0.001 (0.004) Loss 1.5282 (1.3539) Prec@1 60.938 (68.699) Prec@5 85.938 (86.911) Epoch: [78][730/10010] Time 0.326 (0.329) Data 0.001 (0.004) Loss 1.3227 (1.3538) Prec@1 68.750 (68.677) Prec@5 85.156 (86.907) Epoch: [78][740/10010] Time 0.319 (0.329) Data 0.001 (0.004) Loss 1.3289 (1.3535) Prec@1 69.531 (68.674) Prec@5 88.281 (86.916) Epoch: [78][750/10010] Time 0.334 (0.329) Data 0.000 (0.004) Loss 1.3643 (1.3541) Prec@1 67.969 (68.647) Prec@5 84.375 (86.905) Epoch: [78][760/10010] Time 0.320 (0.329) Data 0.001 (0.004) Loss 1.5565 (1.3544) Prec@1 68.750 (68.641) Prec@5 85.156 (86.899) Epoch: [78][770/10010] Time 0.332 (0.329) Data 0.001 (0.004) Loss 1.5297 (1.3543) Prec@1 68.750 (68.661) Prec@5 83.594 (86.899) Epoch: [78][780/10010] Time 0.325 (0.329) Data 0.001 (0.004) Loss 1.2888 (1.3539) Prec@1 69.531 (68.663) Prec@5 85.938 (86.915) Epoch: [78][790/10010] Time 0.319 (0.329) Data 0.000 (0.004) Loss 1.5231 (1.3538) Prec@1 61.719 (68.659) Prec@5 85.156 (86.914) Epoch: [78][800/10010] Time 0.330 (0.329) Data 0.001 (0.004) Loss 1.5556 (1.3533) Prec@1 64.062 (68.659) Prec@5 81.250 (86.921) Epoch: [78][810/10010] Time 0.329 (0.329) Data 0.001 (0.004) Loss 1.6539 (1.3531) Prec@1 64.062 (68.677) Prec@5 85.156 (86.929) Epoch: [78][820/10010] Time 0.330 (0.329) Data 0.001 (0.004) Loss 1.2603 (1.3522) Prec@1 70.312 (68.680) Prec@5 86.719 (86.939) Epoch: [78][830/10010] Time 0.341 (0.329) Data 0.001 (0.004) Loss 1.2306 (1.3510) Prec@1 71.094 (68.708) Prec@5 88.281 (86.948) Epoch: [78][840/10010] Time 0.332 (0.329) Data 0.001 (0.004) Loss 1.6050 (1.3494) Prec@1 64.844 (68.751) Prec@5 83.594 (86.970) Epoch: [78][850/10010] Time 0.338 (0.329) Data 0.001 (0.004) Loss 1.2202 (1.3492) Prec@1 72.656 (68.746) Prec@5 88.281 (86.975) Epoch: [78][860/10010] Time 0.324 (0.329) Data 0.000 (0.004) Loss 1.2985 (1.3494) Prec@1 68.750 (68.748) Prec@5 89.062 (86.962) Epoch: [78][870/10010] Time 0.320 (0.329) Data 0.000 (0.004) Loss 1.1668 (1.3500) Prec@1 71.875 (68.742) Prec@5 87.500 (86.954) Epoch: [78][880/10010] Time 0.337 (0.329) Data 0.000 (0.004) Loss 1.4836 (1.3512) Prec@1 64.844 (68.693) Prec@5 85.938 (86.945) Epoch: [78][890/10010] Time 0.342 (0.329) Data 0.001 (0.004) Loss 1.2072 (1.3510) Prec@1 68.750 (68.704) Prec@5 90.625 (86.945) Epoch: [78][900/10010] Time 0.336 (0.329) Data 0.000 (0.004) Loss 1.2940 (1.3507) Prec@1 66.406 (68.701) Prec@5 85.938 (86.949) Epoch: [78][910/10010] Time 0.347 (0.329) Data 0.001 (0.004) Loss 1.3375 (1.3510) Prec@1 69.531 (68.698) Prec@5 87.500 (86.943) Epoch: [78][920/10010] Time 0.340 (0.329) Data 0.001 (0.004) Loss 1.7637 (1.3509) Prec@1 60.938 (68.696) Prec@5 81.250 (86.941) Epoch: [78][930/10010] Time 0.319 (0.329) Data 0.001 (0.004) Loss 1.3501 (1.3514) Prec@1 71.094 (68.683) Prec@5 88.281 (86.938) /data/vision/torralba/deepscene/lib/anaconda2/lib/python2.7/site-packages/PIL/TiffImagePlugin.py:692: UserWarning: Possibly corrupt EXIF data. Expecting to read 2555904 bytes but only got 0. Skipping tag 0 "Skipping tag %s" % (size, len(data), tag)) Epoch: [78][940/10010] Time 0.324 (0.329) Data 0.001 (0.004) Loss 1.5930 (1.3511) Prec@1 70.312 (68.692) Prec@5 85.938 (86.950) Epoch: [78][950/10010] Time 0.341 (0.329) Data 0.001 (0.003) Loss 1.4895 (1.3515) Prec@1 63.281 (68.675) Prec@5 82.812 (86.941) Epoch: [78][960/10010] Time 0.321 (0.329) Data 0.000 (0.003) Loss 1.3850 (1.3513) Prec@1 69.531 (68.674) Prec@5 89.062 (86.947) Epoch: [78][970/10010] Time 0.341 (0.329) Data 0.000 (0.003) Loss 1.3653 (1.3511) Prec@1 69.531 (68.672) Prec@5 84.375 (86.948) Epoch: [78][980/10010] Time 0.326 (0.329) Data 0.000 (0.003) Loss 1.6511 (1.3519) Prec@1 65.625 (68.648) Prec@5 81.250 (86.940) Epoch: [78][990/10010] Time 0.338 (0.329) Data 0.001 (0.003) Loss 0.9934 (1.3516) Prec@1 76.562 (68.668) Prec@5 91.406 (86.934) Epoch: [78][1000/10010] Time 0.335 (0.329) Data 0.001 (0.003) Loss 1.5109 (1.3516) Prec@1 64.062 (68.658) Prec@5 82.812 (86.933) Epoch: [78][1010/10010] Time 0.339 (0.329) Data 0.001 (0.003) Loss 1.4001 (1.3515) Prec@1 71.094 (68.664) Prec@5 86.719 (86.932) Epoch: [78][1020/10010] Time 0.333 (0.329) Data 0.001 (0.003) Loss 1.3960 (1.3516) Prec@1 68.750 (68.660) Prec@5 87.500 (86.934) Epoch: [78][1030/10010] Time 0.334 (0.329) Data 0.001 (0.003) Loss 1.3903 (1.3519) Prec@1 67.969 (68.654) Prec@5 87.500 (86.937) Epoch: [78][1040/10010] Time 0.332 (0.329) Data 0.001 (0.003) Loss 1.5310 (1.3521) Prec@1 63.281 (68.649) Prec@5 83.594 (86.937) Epoch: [78][1050/10010] Time 0.335 (0.329) Data 0.001 (0.003) Loss 1.2249 (1.3527) Prec@1 69.531 (68.639) Prec@5 87.500 (86.930) Epoch: [78][1060/10010] Time 0.322 (0.329) Data 0.000 (0.003) Loss 1.3766 (1.3534) Prec@1 67.188 (68.639) Prec@5 85.938 (86.911) Epoch: [78][1070/10010] Time 0.323 (0.329) Data 0.001 (0.003) Loss 1.2530 (1.3532) Prec@1 70.312 (68.640) Prec@5 88.281 (86.912) Epoch: [78][1080/10010] Time 0.338 (0.329) Data 0.001 (0.003) Loss 1.6047 (1.3533) Prec@1 63.281 (68.642) Prec@5 82.812 (86.911) Epoch: [78][1090/10010] Time 0.337 (0.329) Data 0.001 (0.003) Loss 1.4928 (1.3536) Prec@1 66.406 (68.638) Prec@5 85.156 (86.906) Epoch: [78][1100/10010] Time 0.345 (0.329) Data 0.001 (0.003) Loss 1.3462 (1.3537) Prec@1 69.531 (68.634) Prec@5 86.719 (86.904) Epoch: [78][1110/10010] Time 0.318 (0.329) Data 0.001 (0.003) Loss 1.2172 (1.3530) Prec@1 71.875 (68.647) Prec@5 85.938 (86.907) Epoch: [78][1120/10010] Time 0.338 (0.329) Data 0.001 (0.003) Loss 1.2977 (1.3529) Prec@1 65.625 (68.649) Prec@5 89.844 (86.917) Epoch: [78][1130/10010] Time 0.310 (0.329) Data 0.001 (0.003) Loss 1.1239 (1.3534) Prec@1 70.312 (68.635) Prec@5 88.281 (86.914) Epoch: [78][1140/10010] Time 0.320 (0.329) Data 0.001 (0.003) Loss 1.1511 (1.3532) Prec@1 75.781 (68.643) Prec@5 88.281 (86.915) Epoch: [78][1150/10010] Time 0.326 (0.329) Data 0.001 (0.003) Loss 1.2111 (1.3532) Prec@1 71.875 (68.646) Prec@5 87.500 (86.914) Epoch: [78][1160/10010] Time 0.321 (0.329) Data 0.000 (0.003) Loss 1.4295 (1.3536) Prec@1 68.750 (68.636) Prec@5 85.156 (86.911) Epoch: [78][1170/10010] Time 0.325 (0.329) Data 0.001 (0.003) Loss 1.5012 (1.3537) Prec@1 61.719 (68.628) Prec@5 88.281 (86.918) Epoch: [78][1180/10010] Time 0.315 (0.329) Data 0.001 (0.003) Loss 1.1057 (1.3535) Prec@1 72.656 (68.636) Prec@5 88.281 (86.921) Epoch: [78][1190/10010] Time 0.323 (0.329) Data 0.000 (0.003) Loss 1.4804 (1.3536) Prec@1 69.531 (68.633) Prec@5 85.156 (86.917) Epoch: [78][1200/10010] Time 0.323 (0.329) Data 0.001 (0.003) Loss 1.5521 (1.3538) Prec@1 63.281 (68.636) Prec@5 84.375 (86.918) Epoch: [78][1210/10010] Time 0.321 (0.329) Data 0.001 (0.003) Loss 1.4884 (1.3539) Prec@1 70.312 (68.642) Prec@5 85.938 (86.920) Epoch: [78][1220/10010] Time 0.335 (0.329) Data 0.000 (0.003) Loss 1.3966 (1.3536) Prec@1 65.625 (68.647) Prec@5 85.938 (86.925) Epoch: [78][1230/10010] Time 0.316 (0.329) Data 0.000 (0.003) Loss 1.2437 (1.3537) Prec@1 71.875 (68.643) Prec@5 89.844 (86.924) Epoch: [78][1240/10010] Time 0.338 (0.329) Data 0.000 (0.003) Loss 1.3556 (1.3534) Prec@1 64.844 (68.646) Prec@5 87.500 (86.930) Epoch: [78][1250/10010] Time 0.339 (0.329) Data 0.001 (0.003) Loss 1.3342 (1.3532) Prec@1 65.625 (68.653) Prec@5 86.719 (86.930) Epoch: [78][1260/10010] Time 0.320 (0.328) Data 0.001 (0.003) Loss 1.2566 (1.3530) Prec@1 71.094 (68.661) Prec@5 88.281 (86.933) Epoch: [78][1270/10010] Time 0.332 (0.328) Data 0.000 (0.003) Loss 1.3709 (1.3533) Prec@1 66.406 (68.647) Prec@5 90.625 (86.941) Epoch: [78][1280/10010] Time 0.318 (0.329) Data 0.001 (0.003) Loss 1.5334 (1.3532) Prec@1 64.062 (68.644) Prec@5 86.719 (86.943) Epoch: [78][1290/10010] Time 0.337 (0.328) Data 0.001 (0.003) Loss 1.3362 (1.3536) Prec@1 69.531 (68.645) Prec@5 85.156 (86.930) Epoch: [78][1300/10010] Time 0.323 (0.328) Data 0.001 (0.003) Loss 1.2000 (1.3540) Prec@1 69.531 (68.635) Prec@5 89.844 (86.931) Epoch: [78][1310/10010] Time 0.318 (0.328) Data 0.001 (0.003) Loss 1.8041 (1.3539) Prec@1 59.375 (68.639) Prec@5 82.031 (86.936) Epoch: [78][1320/10010] Time 0.335 (0.328) Data 0.000 (0.003) Loss 1.5174 (1.3538) Prec@1 61.719 (68.637) Prec@5 85.938 (86.943) Epoch: [78][1330/10010] Time 0.323 (0.328) Data 0.001 (0.003) Loss 1.3486 (1.3534) Prec@1 68.750 (68.650) Prec@5 85.156 (86.943) Epoch: [78][1340/10010] Time 0.332 (0.328) Data 0.001 (0.003) Loss 1.3214 (1.3539) Prec@1 70.312 (68.632) Prec@5 89.844 (86.938) Epoch: [78][1350/10010] Time 0.331 (0.328) Data 0.001 (0.003) Loss 1.2389 (1.3536) Prec@1 68.750 (68.625) Prec@5 89.062 (86.948) Epoch: [78][1360/10010] Time 0.320 (0.328) Data 0.000 (0.003) Loss 1.2685 (1.3533) Prec@1 70.312 (68.630) Prec@5 89.062 (86.952) Epoch: [78][1370/10010] Time 0.318 (0.328) Data 0.001 (0.003) Loss 1.3271 (1.3539) Prec@1 69.531 (68.625) Prec@5 87.500 (86.935) Epoch: [78][1380/10010] Time 0.331 (0.328) Data 0.001 (0.003) Loss 1.1201 (1.3535) Prec@1 75.000 (68.638) Prec@5 90.625 (86.943) Epoch: [78][1390/10010] Time 0.318 (0.328) Data 0.001 (0.003) Loss 1.5931 (1.3533) Prec@1 64.062 (68.644) Prec@5 84.375 (86.948) Epoch: [78][1400/10010] Time 0.334 (0.328) Data 0.001 (0.003) Loss 1.4628 (1.3533) Prec@1 66.406 (68.634) Prec@5 84.375 (86.951) Epoch: [78][1410/10010] Time 0.317 (0.328) Data 0.001 (0.003) Loss 1.3595 (1.3532) Prec@1 64.062 (68.628) Prec@5 86.719 (86.950) Epoch: [78][1420/10010] Time 0.338 (0.328) Data 0.000 (0.003) Loss 1.2033 (1.3527) Prec@1 72.656 (68.636) Prec@5 89.844 (86.958) Epoch: [78][1430/10010] Time 0.317 (0.328) Data 0.001 (0.003) Loss 1.4045 (1.3528) Prec@1 63.281 (68.634) Prec@5 85.938 (86.950) Epoch: [78][1440/10010] Time 0.339 (0.328) Data 0.001 (0.003) Loss 1.1892 (1.3523) Prec@1 71.875 (68.645) Prec@5 90.625 (86.959) Epoch: [78][1450/10010] Time 0.307 (0.328) Data 0.001 (0.002) Loss 1.1654 (1.3523) Prec@1 71.875 (68.641) Prec@5 87.500 (86.961) Epoch: [78][1460/10010] Time 0.337 (0.328) Data 0.001 (0.002) Loss 1.5091 (1.3524) Prec@1 66.406 (68.638) Prec@5 84.375 (86.959) Epoch: [78][1470/10010] Time 0.332 (0.328) Data 0.001 (0.002) Loss 1.4519 (1.3528) Prec@1 68.750 (68.640) Prec@5 85.938 (86.952) Epoch: [78][1480/10010] Time 0.338 (0.328) Data 0.001 (0.002) Loss 1.2777 (1.3527) Prec@1 70.312 (68.652) Prec@5 90.625 (86.953) Epoch: [78][1490/10010] Time 0.310 (0.328) Data 0.001 (0.002) Loss 1.5109 (1.3528) Prec@1 64.844 (68.651) Prec@5 83.594 (86.953) Epoch: [78][1500/10010] Time 0.317 (0.328) Data 0.001 (0.002) Loss 1.2394 (1.3527) Prec@1 72.656 (68.657) Prec@5 87.500 (86.952) Epoch: [78][1510/10010] Time 0.321 (0.328) Data 0.001 (0.002) Loss 1.6015 (1.3528) Prec@1 60.156 (68.653) Prec@5 82.812 (86.953) Epoch: [78][1520/10010] Time 0.336 (0.328) Data 0.001 (0.002) Loss 1.1127 (1.3527) Prec@1 69.531 (68.653) Prec@5 91.406 (86.963) Epoch: [78][1530/10010] Time 0.331 (0.328) Data 0.001 (0.002) Loss 1.3023 (1.3522) Prec@1 71.875 (68.654) Prec@5 89.062 (86.970) Epoch: [78][1540/10010] Time 0.328 (0.328) Data 0.001 (0.002) Loss 1.6106 (1.3528) Prec@1 62.500 (68.643) Prec@5 83.594 (86.961) Epoch: [78][1550/10010] Time 0.325 (0.328) Data 0.000 (0.002) Loss 1.2014 (1.3527) Prec@1 72.656 (68.642) Prec@5 90.625 (86.963) Epoch: [78][1560/10010] Time 0.334 (0.328) Data 0.000 (0.002) Loss 1.3142 (1.3530) Prec@1 70.312 (68.629) Prec@5 88.281 (86.958) Epoch: [78][1570/10010] Time 0.326 (0.328) Data 0.001 (0.002) Loss 1.3813 (1.3533) Prec@1 67.969 (68.620) Prec@5 85.938 (86.954) Epoch: [78][1580/10010] Time 0.322 (0.328) Data 0.000 (0.002) Loss 1.3372 (1.3532) Prec@1 67.188 (68.623) Prec@5 86.719 (86.959) Epoch: [78][1590/10010] Time 0.336 (0.328) Data 0.000 (0.002) Loss 1.4920 (1.3532) Prec@1 64.062 (68.627) Prec@5 87.500 (86.956) Epoch: [78][1600/10010] Time 0.332 (0.328) Data 0.001 (0.002) Loss 1.5421 (1.3533) Prec@1 69.531 (68.625) Prec@5 82.031 (86.953) Epoch: [78][1610/10010] Time 0.332 (0.328) Data 0.000 (0.002) Loss 1.3125 (1.3538) Prec@1 71.875 (68.615) Prec@5 85.938 (86.939) Epoch: [78][1620/10010] Time 0.341 (0.328) Data 0.001 (0.002) Loss 1.3619 (1.3534) Prec@1 68.750 (68.622) Prec@5 89.844 (86.945) Epoch: [78][1630/10010] Time 0.329 (0.328) Data 0.001 (0.002) Loss 1.2254 (1.3534) Prec@1 71.094 (68.625) Prec@5 89.844 (86.945) Epoch: [78][1640/10010] Time 0.314 (0.328) Data 0.001 (0.002) Loss 1.0809 (1.3536) Prec@1 79.688 (68.626) Prec@5 92.188 (86.944) Epoch: [78][1650/10010] Time 0.320 (0.328) Data 0.001 (0.002) Loss 1.7037 (1.3540) Prec@1 62.500 (68.629) Prec@5 81.250 (86.938) Epoch: [78][1660/10010] Time 0.319 (0.328) Data 0.001 (0.002) Loss 1.4006 (1.3540) Prec@1 67.969 (68.629) Prec@5 85.938 (86.940) Epoch: [78][1670/10010] Time 0.329 (0.328) Data 0.001 (0.002) Loss 1.3135 (1.3539) Prec@1 69.531 (68.626) Prec@5 86.719 (86.945) Epoch: [78][1680/10010] Time 0.327 (0.328) Data 0.001 (0.002) Loss 1.2934 (1.3537) Prec@1 69.531 (68.630) Prec@5 86.719 (86.949) Epoch: [78][1690/10010] Time 0.327 (0.328) Data 0.001 (0.002) Loss 1.2337 (1.3536) Prec@1 74.219 (68.632) Prec@5 89.062 (86.948) Epoch: [78][1700/10010] Time 0.341 (0.328) Data 0.000 (0.002) Loss 1.4112 (1.3537) Prec@1 73.438 (68.630) Prec@5 84.375 (86.946) Epoch: [78][1710/10010] Time 0.343 (0.328) Data 0.000 (0.002) Loss 1.3174 (1.3533) Prec@1 72.656 (68.642) Prec@5 89.844 (86.953) Epoch: [78][1720/10010] Time 0.338 (0.328) Data 0.001 (0.002) Loss 1.2077 (1.3530) Prec@1 71.094 (68.646) Prec@5 87.500 (86.953) Epoch: [78][1730/10010] Time 0.337 (0.328) Data 0.001 (0.002) Loss 1.4825 (1.3535) Prec@1 62.500 (68.637) Prec@5 83.594 (86.951) Epoch: [78][1740/10010] Time 0.324 (0.328) Data 0.001 (0.002) Loss 1.7034 (1.3532) Prec@1 61.719 (68.636) Prec@5 82.812 (86.956) Epoch: [78][1750/10010] Time 0.340 (0.328) Data 0.001 (0.002) Loss 1.3926 (1.3532) Prec@1 68.750 (68.642) Prec@5 82.812 (86.955) Epoch: [78][1760/10010] Time 0.332 (0.328) Data 0.001 (0.002) Loss 1.3980 (1.3535) Prec@1 66.406 (68.634) Prec@5 86.719 (86.949) Epoch: [78][1770/10010] Time 0.341 (0.328) Data 0.000 (0.002) Loss 1.3166 (1.3543) Prec@1 66.406 (68.623) Prec@5 90.625 (86.932) Epoch: [78][1780/10010] Time 0.323 (0.328) Data 0.001 (0.002) Loss 1.3472 (1.3547) Prec@1 67.969 (68.607) Prec@5 89.062 (86.927) Epoch: [78][1790/10010] Time 0.333 (0.328) Data 0.000 (0.002) Loss 1.6647 (1.3546) Prec@1 59.375 (68.613) Prec@5 79.688 (86.926) Epoch: [78][1800/10010] Time 0.316 (0.328) Data 0.001 (0.002) Loss 1.1853 (1.3546) Prec@1 68.750 (68.612) Prec@5 89.844 (86.930) Epoch: [78][1810/10010] Time 0.339 (0.328) Data 0.001 (0.002) Loss 1.3311 (1.3540) Prec@1 65.625 (68.620) Prec@5 85.938 (86.937) Epoch: [78][1820/10010] Time 0.338 (0.328) Data 0.000 (0.002) Loss 1.2513 (1.3538) Prec@1 74.219 (68.625) Prec@5 89.062 (86.939) Epoch: [78][1830/10010] Time 0.316 (0.328) Data 0.001 (0.002) Loss 1.5197 (1.3540) Prec@1 66.406 (68.619) Prec@5 82.031 (86.940) Epoch: [78][1840/10010] Time 0.327 (0.328) Data 0.001 (0.002) Loss 1.4121 (1.3539) Prec@1 63.281 (68.623) Prec@5 85.156 (86.937) Epoch: [78][1850/10010] Time 0.323 (0.328) Data 0.001 (0.002) Loss 1.4224 (1.3544) Prec@1 71.094 (68.617) Prec@5 85.156 (86.928) Epoch: [78][1860/10010] Time 0.332 (0.328) Data 0.000 (0.002) Loss 1.4675 (1.3546) Prec@1 65.625 (68.617) Prec@5 87.500 (86.931) Epoch: [78][1870/10010] Time 0.320 (0.328) Data 0.001 (0.002) Loss 1.0134 (1.3546) Prec@1 74.219 (68.613) Prec@5 89.062 (86.928) Epoch: [78][1880/10010] Time 0.317 (0.328) Data 0.000 (0.002) Loss 1.0708 (1.3544) Prec@1 72.656 (68.618) Prec@5 92.969 (86.929) Epoch: [78][1890/10010] Time 0.335 (0.328) Data 0.001 (0.002) Loss 1.4083 (1.3547) Prec@1 71.875 (68.616) Prec@5 86.719 (86.928) Epoch: [78][1900/10010] Time 0.323 (0.328) Data 0.001 (0.002) Loss 1.4966 (1.3546) Prec@1 66.406 (68.614) Prec@5 82.031 (86.930) Epoch: [78][1910/10010] Time 0.334 (0.328) Data 0.001 (0.002) Loss 1.2814 (1.3545) Prec@1 69.531 (68.610) Prec@5 85.156 (86.935) Epoch: [78][1920/10010] Time 0.322 (0.328) Data 0.001 (0.002) Loss 1.4698 (1.3545) Prec@1 60.156 (68.608) Prec@5 87.500 (86.937) Epoch: [78][1930/10010] Time 0.335 (0.328) Data 0.000 (0.002) Loss 1.5318 (1.3544) Prec@1 64.062 (68.614) Prec@5 84.375 (86.937) Epoch: [78][1940/10010] Time 0.320 (0.328) Data 0.000 (0.002) Loss 1.3237 (1.3549) Prec@1 70.312 (68.599) Prec@5 86.719 (86.926) Epoch: [78][1950/10010] Time 0.330 (0.328) Data 0.001 (0.002) Loss 1.3955 (1.3545) Prec@1 72.656 (68.610) Prec@5 86.719 (86.931) Epoch: [78][1960/10010] Time 0.323 (0.328) Data 0.000 (0.002) Loss 1.5659 (1.3540) Prec@1 69.531 (68.622) Prec@5 87.500 (86.944) Epoch: [78][1970/10010] Time 0.324 (0.328) Data 0.001 (0.002) Loss 1.4347 (1.3537) Prec@1 67.969 (68.629) Prec@5 88.281 (86.948) Epoch: [78][1980/10010] Time 0.338 (0.328) Data 0.001 (0.002) Loss 1.3306 (1.3536) Prec@1 74.219 (68.634) Prec@5 89.062 (86.953) Epoch: [78][1990/10010] Time 0.340 (0.328) Data 0.001 (0.002) Loss 1.2359 (1.3537) Prec@1 71.094 (68.633) Prec@5 91.406 (86.954) Epoch: [78][2000/10010] Time 0.321 (0.328) Data 0.000 (0.002) Loss 1.2643 (1.3539) Prec@1 72.656 (68.629) Prec@5 89.062 (86.948) Epoch: [78][2010/10010] Time 0.335 (0.328) Data 0.000 (0.002) Loss 1.4806 (1.3536) Prec@1 61.719 (68.633) Prec@5 82.812 (86.953) Epoch: [78][2020/10010] Time 0.315 (0.328) Data 0.001 (0.002) Loss 1.5302 (1.3536) Prec@1 62.500 (68.634) Prec@5 87.500 (86.955) Epoch: [78][2030/10010] Time 0.334 (0.328) Data 0.000 (0.002) Loss 1.3382 (1.3540) Prec@1 69.531 (68.633) Prec@5 89.844 (86.949) Epoch: [78][2040/10010] Time 0.338 (0.328) Data 0.001 (0.002) Loss 1.2409 (1.3542) Prec@1 73.438 (68.625) Prec@5 87.500 (86.944) Epoch: [78][2050/10010] Time 0.318 (0.328) Data 0.001 (0.002) Loss 1.3734 (1.3544) Prec@1 64.844 (68.624) Prec@5 84.375 (86.933) Epoch: [78][2060/10010] Time 0.337 (0.328) Data 0.000 (0.002) Loss 1.3293 (1.3547) Prec@1 67.188 (68.610) Prec@5 87.500 (86.927) Epoch: [78][2070/10010] Time 0.325 (0.328) Data 0.001 (0.002) Loss 1.3263 (1.3549) Prec@1 66.406 (68.610) Prec@5 89.844 (86.924) Epoch: [78][2080/10010] Time 0.321 (0.328) Data 0.000 (0.002) Loss 1.1352 (1.3550) Prec@1 74.219 (68.604) Prec@5 89.062 (86.920) Epoch: [78][2090/10010] Time 0.319 (0.328) Data 0.000 (0.002) Loss 1.3734 (1.3555) Prec@1 65.625 (68.592) Prec@5 85.938 (86.918) Epoch: [78][2100/10010] Time 0.321 (0.328) Data 0.001 (0.002) Loss 1.1165 (1.3556) Prec@1 73.438 (68.590) Prec@5 89.062 (86.916) Epoch: [78][2110/10010] Time 0.312 (0.328) Data 0.001 (0.002) Loss 1.2382 (1.3555) Prec@1 70.312 (68.596) Prec@5 89.844 (86.919) Epoch: [78][2120/10010] Time 0.319 (0.328) Data 0.000 (0.002) Loss 1.2049 (1.3554) Prec@1 71.875 (68.595) Prec@5 89.844 (86.918) Epoch: [78][2130/10010] Time 0.321 (0.328) Data 0.001 (0.002) Loss 1.3236 (1.3556) Prec@1 70.312 (68.589) Prec@5 88.281 (86.915) Epoch: [78][2140/10010] Time 0.324 (0.328) Data 0.001 (0.002) Loss 1.2909 (1.3553) Prec@1 64.844 (68.593) Prec@5 85.156 (86.921) Epoch: [78][2150/10010] Time 0.316 (0.328) Data 0.001 (0.002) Loss 1.1780 (1.3550) Prec@1 73.438 (68.601) Prec@5 89.844 (86.925) Epoch: [78][2160/10010] Time 0.325 (0.328) Data 0.001 (0.002) Loss 1.6496 (1.3552) Prec@1 60.938 (68.596) Prec@5 81.250 (86.923) Epoch: [78][2170/10010] Time 0.335 (0.328) Data 0.001 (0.002) Loss 1.2756 (1.3550) Prec@1 71.875 (68.601) Prec@5 88.281 (86.924) Epoch: [78][2180/10010] Time 0.322 (0.328) Data 0.001 (0.002) Loss 1.1553 (1.3547) Prec@1 73.438 (68.609) Prec@5 90.625 (86.926) Epoch: [78][2190/10010] Time 0.337 (0.328) Data 0.001 (0.002) Loss 1.6823 (1.3548) Prec@1 64.844 (68.609) Prec@5 80.469 (86.926) Epoch: [78][2200/10010] Time 0.327 (0.328) Data 0.001 (0.002) Loss 1.3560 (1.3545) Prec@1 67.188 (68.607) Prec@5 88.281 (86.935) Epoch: [78][2210/10010] Time 0.315 (0.328) Data 0.001 (0.002) Loss 1.4368 (1.3546) Prec@1 70.312 (68.603) Prec@5 82.812 (86.933) Epoch: [78][2220/10010] Time 0.319 (0.328) Data 0.001 (0.002) Loss 1.0650 (1.3544) Prec@1 75.000 (68.602) Prec@5 92.188 (86.936) Epoch: [78][2230/10010] Time 0.315 (0.328) Data 0.001 (0.002) Loss 1.4326 (1.3542) Prec@1 65.625 (68.605) Prec@5 85.156 (86.937) Epoch: [78][2240/10010] Time 0.319 (0.328) Data 0.001 (0.002) Loss 1.5370 (1.3545) Prec@1 61.719 (68.599) Prec@5 83.594 (86.931) Epoch: [78][2250/10010] Time 0.320 (0.327) Data 0.001 (0.002) Loss 1.2600 (1.3546) Prec@1 75.000 (68.597) Prec@5 85.938 (86.923) Epoch: [78][2260/10010] Time 0.317 (0.327) Data 0.001 (0.002) Loss 1.2611 (1.3545) Prec@1 68.750 (68.594) Prec@5 89.844 (86.926) Epoch: [78][2270/10010] Time 0.334 (0.327) Data 0.001 (0.002) Loss 1.3312 (1.3543) Prec@1 68.750 (68.598) Prec@5 86.719 (86.931) Epoch: [78][2280/10010] Time 0.323 (0.327) Data 0.001 (0.002) Loss 1.2639 (1.3543) Prec@1 67.188 (68.598) Prec@5 89.844 (86.934) Epoch: [78][2290/10010] Time 0.320 (0.327) Data 0.001 (0.002) Loss 1.4385 (1.3543) Prec@1 71.094 (68.600) Prec@5 83.594 (86.929) Epoch: [78][2300/10010] Time 0.324 (0.327) Data 0.000 (0.002) Loss 1.2021 (1.3544) Prec@1 74.219 (68.601) Prec@5 89.844 (86.932) Epoch: [78][2310/10010] Time 0.336 (0.327) Data 0.001 (0.002) Loss 1.3042 (1.3543) Prec@1 71.094 (68.610) Prec@5 86.719 (86.935) Epoch: [78][2320/10010] Time 0.333 (0.327) Data 0.001 (0.002) Loss 1.2149 (1.3541) Prec@1 70.312 (68.616) Prec@5 86.719 (86.937) Epoch: [78][2330/10010] Time 0.332 (0.327) Data 0.001 (0.002) Loss 1.4187 (1.3545) Prec@1 64.844 (68.603) Prec@5 84.375 (86.930) Epoch: [78][2340/10010] Time 0.316 (0.327) Data 0.001 (0.002) Loss 1.1384 (1.3543) Prec@1 72.656 (68.602) Prec@5 89.844 (86.937) Epoch: [78][2350/10010] Time 0.320 (0.327) Data 0.001 (0.002) Loss 1.3708 (1.3543) Prec@1 67.969 (68.605) Prec@5 86.719 (86.937) Epoch: [78][2360/10010] Time 0.321 (0.327) Data 0.001 (0.002) Loss 1.3505 (1.3543) Prec@1 66.406 (68.600) Prec@5 86.719 (86.937) Epoch: [78][2370/10010] Time 0.327 (0.327) Data 0.001 (0.002) Loss 1.5513 (1.3544) Prec@1 65.625 (68.603) Prec@5 85.156 (86.938) Epoch: [78][2380/10010] Time 0.320 (0.327) Data 0.000 (0.002) Loss 1.5596 (1.3543) Prec@1 64.062 (68.603) Prec@5 85.938 (86.941) Epoch: [78][2390/10010] Time 0.334 (0.327) Data 0.001 (0.002) Loss 1.4981 (1.3548) Prec@1 66.406 (68.599) Prec@5 85.938 (86.939) Epoch: [78][2400/10010] Time 0.316 (0.327) Data 0.001 (0.002) Loss 1.0375 (1.3545) Prec@1 75.000 (68.605) Prec@5 91.406 (86.943) Epoch: [78][2410/10010] Time 0.309 (0.327) Data 0.000 (0.002) Loss 1.5477 (1.3545) Prec@1 64.062 (68.605) Prec@5 84.375 (86.943) Epoch: [78][2420/10010] Time 0.314 (0.327) Data 0.001 (0.002) Loss 1.3109 (1.3544) Prec@1 68.750 (68.607) Prec@5 89.844 (86.944) Epoch: [78][2430/10010] Time 0.334 (0.327) Data 0.001 (0.002) Loss 1.5270 (1.3546) Prec@1 67.188 (68.602) Prec@5 82.031 (86.941) Epoch: [78][2440/10010] Time 0.320 (0.327) Data 0.001 (0.002) Loss 1.2386 (1.3545) Prec@1 68.750 (68.607) Prec@5 89.844 (86.940) Epoch: [78][2450/10010] Time 0.326 (0.327) Data 0.001 (0.002) Loss 1.3362 (1.3546) Prec@1 69.531 (68.608) Prec@5 88.281 (86.944) Epoch: [78][2460/10010] Time 0.322 (0.327) Data 0.001 (0.002) Loss 1.2697 (1.3545) Prec@1 67.188 (68.605) Prec@5 89.844 (86.945) Epoch: [78][2470/10010] Time 0.338 (0.327) Data 0.001 (0.002) Loss 1.4215 (1.3547) Prec@1 66.406 (68.600) Prec@5 85.938 (86.945) Epoch: [78][2480/10010] Time 0.333 (0.327) Data 0.001 (0.002) Loss 1.3007 (1.3550) Prec@1 70.312 (68.592) Prec@5 89.844 (86.941) Epoch: [78][2490/10010] Time 0.333 (0.327) Data 0.001 (0.002) Loss 1.8061 (1.3552) Prec@1 58.594 (68.583) Prec@5 78.906 (86.939) Epoch: [78][2500/10010] Time 0.326 (0.327) Data 0.001 (0.002) Loss 1.3411 (1.3551) Prec@1 64.844 (68.589) Prec@5 87.500 (86.941) Epoch: [78][2510/10010] Time 0.328 (0.327) Data 0.000 (0.002) Loss 1.4564 (1.3549) Prec@1 68.750 (68.593) Prec@5 85.938 (86.943) /data/vision/torralba/deepscene/lib/anaconda2/lib/python2.7/site-packages/PIL/TiffImagePlugin.py:692: UserWarning: Possibly corrupt EXIF data. Expecting to read 2555904 bytes but only got 0. Skipping tag 0 "Skipping tag %s" % (size, len(data), tag)) Epoch: [78][2520/10010] Time 0.328 (0.327) Data 0.001 (0.002) Loss 1.4391 (1.3553) Prec@1 62.500 (68.581) Prec@5 87.500 (86.938) Epoch: [78][2530/10010] Time 0.312 (0.327) Data 0.001 (0.002) Loss 1.1757 (1.3559) Prec@1 71.094 (68.571) Prec@5 86.719 (86.929) Epoch: [78][2540/10010] Time 0.326 (0.327) Data 0.001 (0.002) Loss 1.1739 (1.3556) Prec@1 76.562 (68.585) Prec@5 89.062 (86.935) Epoch: [78][2550/10010] Time 0.333 (0.327) Data 0.001 (0.002) Loss 1.2653 (1.3557) Prec@1 71.094 (68.584) Prec@5 89.844 (86.931) Epoch: [78][2560/10010] Time 0.313 (0.327) Data 0.001 (0.002) Loss 1.5217 (1.3558) Prec@1 64.062 (68.580) Prec@5 85.938 (86.929) Epoch: [78][2570/10010] Time 0.342 (0.327) Data 0.000 (0.002) Loss 1.5080 (1.3559) Prec@1 71.875 (68.576) Prec@5 87.500 (86.931) Epoch: [78][2580/10010] Time 0.331 (0.327) Data 0.000 (0.002) Loss 1.3260 (1.3557) Prec@1 71.875 (68.578) Prec@5 85.938 (86.933) Epoch: [78][2590/10010] Time 0.323 (0.327) Data 0.000 (0.002) Loss 1.2163 (1.3561) Prec@1 71.094 (68.570) Prec@5 89.844 (86.928) Epoch: [78][2600/10010] Time 0.340 (0.327) Data 0.001 (0.002) Loss 1.5376 (1.3561) Prec@1 64.844 (68.570) Prec@5 87.500 (86.928) Epoch: [78][2610/10010] Time 0.317 (0.327) Data 0.001 (0.002) Loss 1.4099 (1.3560) Prec@1 64.844 (68.570) Prec@5 86.719 (86.928) Epoch: [78][2620/10010] Time 0.313 (0.327) Data 0.001 (0.002) Loss 1.2219 (1.3556) Prec@1 72.656 (68.577) Prec@5 85.156 (86.932) Epoch: [78][2630/10010] Time 0.317 (0.327) Data 0.001 (0.002) Loss 1.4781 (1.3558) Prec@1 58.594 (68.572) Prec@5 87.500 (86.931) Epoch: [78][2640/10010] Time 0.315 (0.327) Data 0.001 (0.002) Loss 1.1224 (1.3555) Prec@1 72.656 (68.582) Prec@5 89.062 (86.933) Epoch: [78][2650/10010] Time 0.335 (0.327) Data 0.001 (0.002) Loss 1.2618 (1.3556) Prec@1 75.000 (68.580) Prec@5 88.281 (86.932) Epoch: [78][2660/10010] Time 0.313 (0.327) Data 0.001 (0.002) Loss 1.6068 (1.3556) Prec@1 67.969 (68.578) Prec@5 82.031 (86.932) /data/vision/torralba/deepscene/lib/anaconda2/lib/python2.7/site-packages/PIL/TiffImagePlugin.py:709: UserWarning: Corrupt EXIF data. Expecting to read 4 bytes but only got 0. warnings.warn(str(msg)) Epoch: [78][2670/10010] Time 0.323 (0.327) Data 0.001 (0.002) Loss 1.2587 (1.3554) Prec@1 67.188 (68.581) Prec@5 85.938 (86.934) Epoch: [78][2680/10010] Time 0.321 (0.327) Data 0.001 (0.002) Loss 1.6834 (1.3555) Prec@1 61.719 (68.578) Prec@5 83.594 (86.931) Epoch: [78][2690/10010] Time 0.335 (0.327) Data 0.000 (0.002) Loss 1.2164 (1.3559) Prec@1 72.656 (68.566) Prec@5 89.844 (86.925) Epoch: [78][2700/10010] Time 0.338 (0.327) Data 0.001 (0.002) Loss 1.6256 (1.3559) Prec@1 60.156 (68.565) Prec@5 83.594 (86.928) Epoch: [78][2710/10010] Time 0.331 (0.327) Data 0.001 (0.002) Loss 1.6619 (1.3558) Prec@1 67.969 (68.565) Prec@5 82.812 (86.929) Epoch: [78][2720/10010] Time 0.329 (0.327) Data 0.001 (0.002) Loss 1.2279 (1.3558) Prec@1 71.094 (68.565) Prec@5 90.625 (86.928) Epoch: [78][2730/10010] Time 0.321 (0.327) Data 0.001 (0.002) Loss 1.2605 (1.3558) Prec@1 70.312 (68.569) Prec@5 89.062 (86.927) Epoch: [78][2740/10010] Time 0.330 (0.327) Data 0.001 (0.002) Loss 1.4957 (1.3560) Prec@1 67.969 (68.560) Prec@5 86.719 (86.925) Epoch: [78][2750/10010] Time 0.320 (0.327) Data 0.001 (0.002) Loss 1.3352 (1.3558) Prec@1 64.062 (68.561) Prec@5 86.719 (86.930) Epoch: [78][2760/10010] Time 0.314 (0.327) Data 0.001 (0.002) Loss 1.3463 (1.3559) Prec@1 69.531 (68.559) Prec@5 87.500 (86.926) Epoch: [78][2770/10010] Time 0.340 (0.327) Data 0.001 (0.002) Loss 1.2319 (1.3556) Prec@1 65.625 (68.565) Prec@5 87.500 (86.930) Epoch: [78][2780/10010] Time 0.316 (0.327) Data 0.001 (0.002) Loss 1.2174 (1.3556) Prec@1 71.875 (68.566) Prec@5 89.844 (86.929) Epoch: [78][2790/10010] Time 0.340 (0.327) Data 0.000 (0.002) Loss 1.4506 (1.3557) Prec@1 67.969 (68.565) Prec@5 84.375 (86.931) Epoch: [78][2800/10010] Time 0.333 (0.327) Data 0.000 (0.002) Loss 1.1979 (1.3556) Prec@1 75.781 (68.570) Prec@5 89.844 (86.932) Epoch: [78][2810/10010] Time 0.313 (0.327) Data 0.001 (0.002) Loss 1.0961 (1.3556) Prec@1 77.344 (68.570) Prec@5 92.188 (86.937) Epoch: [78][2820/10010] Time 0.325 (0.327) Data 0.000 (0.002) Loss 1.2300 (1.3556) Prec@1 72.656 (68.568) Prec@5 88.281 (86.937) Epoch: [78][2830/10010] Time 0.334 (0.327) Data 0.000 (0.002) Loss 1.2204 (1.3554) Prec@1 70.312 (68.571) Prec@5 91.406 (86.941) Epoch: [78][2840/10010] Time 0.322 (0.327) Data 0.001 (0.002) Loss 1.3480 (1.3554) Prec@1 67.188 (68.567) Prec@5 84.375 (86.944) Epoch: [78][2850/10010] Time 0.320 (0.327) Data 0.001 (0.002) Loss 1.6808 (1.3555) Prec@1 62.500 (68.564) Prec@5 78.125 (86.938) Epoch: [78][2860/10010] Time 0.333 (0.327) Data 0.001 (0.002) Loss 1.2358 (1.3555) Prec@1 71.094 (68.567) Prec@5 87.500 (86.936) Epoch: [78][2870/10010] Time 0.333 (0.327) Data 0.001 (0.002) Loss 1.4653 (1.3558) Prec@1 64.062 (68.557) Prec@5 86.719 (86.934) Epoch: [78][2880/10010] Time 0.324 (0.327) Data 0.001 (0.002) Loss 1.1091 (1.3558) Prec@1 75.781 (68.552) Prec@5 89.062 (86.936) Epoch: [78][2890/10010] Time 0.329 (0.327) Data 0.001 (0.002) Loss 1.1880 (1.3558) Prec@1 71.094 (68.553) Prec@5 89.062 (86.937) Epoch: [78][2900/10010] Time 0.319 (0.327) Data 0.001 (0.002) Loss 1.5374 (1.3556) Prec@1 62.500 (68.554) Prec@5 85.156 (86.943) Epoch: [78][2910/10010] Time 0.329 (0.327) Data 0.001 (0.002) Loss 1.2437 (1.3555) Prec@1 69.531 (68.555) Prec@5 88.281 (86.942) Epoch: [78][2920/10010] Time 0.328 (0.327) Data 0.001 (0.002) Loss 1.3256 (1.3555) Prec@1 71.875 (68.559) Prec@5 83.594 (86.941) Epoch: [78][2930/10010] Time 0.315 (0.327) Data 0.001 (0.002) Loss 1.4688 (1.3557) Prec@1 70.312 (68.558) Prec@5 88.281 (86.938) Epoch: [78][2940/10010] Time 0.317 (0.327) Data 0.001 (0.002) Loss 1.0497 (1.3555) Prec@1 75.000 (68.562) Prec@5 89.062 (86.940) Epoch: [78][2950/10010] Time 0.317 (0.327) Data 0.001 (0.002) Loss 1.3103 (1.3555) Prec@1 68.750 (68.559) Prec@5 87.500 (86.943) Epoch: [78][2960/10010] Time 0.327 (0.327) Data 0.001 (0.002) Loss 1.4355 (1.3554) Prec@1 64.062 (68.559) Prec@5 89.062 (86.948) Epoch: [78][2970/10010] Time 0.333 (0.327) Data 0.001 (0.002) Loss 1.4093 (1.3557) Prec@1 71.094 (68.563) Prec@5 84.375 (86.943) Epoch: [78][2980/10010] Time 0.317 (0.327) Data 0.001 (0.002) Loss 1.1269 (1.3554) Prec@1 75.000 (68.568) Prec@5 89.062 (86.943) Epoch: [78][2990/10010] Time 0.333 (0.327) Data 0.001 (0.002) Loss 1.2708 (1.3553) Prec@1 68.750 (68.573) Prec@5 89.844 (86.946) Epoch: [78][3000/10010] Time 0.325 (0.327) Data 0.001 (0.002) Loss 1.3242 (1.3554) Prec@1 70.312 (68.574) Prec@5 86.719 (86.947) Epoch: [78][3010/10010] Time 0.335 (0.327) Data 0.001 (0.002) Loss 1.3289 (1.3554) Prec@1 68.750 (68.577) Prec@5 86.719 (86.947) Epoch: [78][3020/10010] Time 0.323 (0.327) Data 0.000 (0.002) Loss 1.4394 (1.3554) Prec@1 64.844 (68.578) Prec@5 82.031 (86.946) Epoch: [78][3030/10010] Time 0.332 (0.327) Data 0.001 (0.002) Loss 1.4162 (1.3554) Prec@1 67.188 (68.581) Prec@5 85.938 (86.948) Epoch: [78][3040/10010] Time 0.321 (0.327) Data 0.000 (0.002) Loss 1.3058 (1.3554) Prec@1 69.531 (68.581) Prec@5 89.062 (86.947) Epoch: [78][3050/10010] Time 0.321 (0.327) Data 0.004 (0.002) Loss 1.0802 (1.3554) Prec@1 70.312 (68.583) Prec@5 94.531 (86.946) Epoch: [78][3060/10010] Time 0.318 (0.327) Data 0.001 (0.002) Loss 1.6036 (1.3556) Prec@1 60.156 (68.575) Prec@5 82.812 (86.942) Epoch: [78][3070/10010] Time 0.317 (0.327) Data 0.000 (0.002) Loss 1.2182 (1.3556) Prec@1 71.094 (68.573) Prec@5 93.750 (86.943) Epoch: [78][3080/10010] Time 0.335 (0.327) Data 0.001 (0.002) Loss 1.2193 (1.3556) Prec@1 73.438 (68.573) Prec@5 88.281 (86.942) Epoch: [78][3090/10010] Time 0.316 (0.327) Data 0.000 (0.002) Loss 1.5615 (1.3559) Prec@1 68.750 (68.564) Prec@5 82.031 (86.940) Epoch: [78][3100/10010] Time 0.318 (0.327) Data 0.001 (0.002) Loss 1.4860 (1.3560) Prec@1 65.625 (68.559) Prec@5 86.719 (86.938) Epoch: [78][3110/10010] Time 0.328 (0.327) Data 0.001 (0.002) Loss 1.8238 (1.3563) Prec@1 59.375 (68.554) Prec@5 81.250 (86.934) Epoch: [78][3120/10010] Time 0.321 (0.327) Data 0.001 (0.002) Loss 1.4660 (1.3566) Prec@1 64.062 (68.546) Prec@5 86.719 (86.928) Epoch: [78][3130/10010] Time 0.338 (0.327) Data 0.001 (0.002) Loss 1.3236 (1.3567) Prec@1 70.312 (68.543) Prec@5 89.844 (86.928) Epoch: [78][3140/10010] Time 0.331 (0.327) Data 0.001 (0.002) Loss 1.0986 (1.3565) Prec@1 74.219 (68.543) Prec@5 89.844 (86.929) Epoch: [78][3150/10010] Time 0.320 (0.327) Data 0.000 (0.002) Loss 1.1657 (1.3566) Prec@1 69.531 (68.540) Prec@5 90.625 (86.928) Epoch: [78][3160/10010] Time 0.322 (0.327) Data 0.000 (0.002) Loss 1.7001 (1.3570) Prec@1 57.812 (68.533) Prec@5 80.469 (86.920) Epoch: [78][3170/10010] Time 0.312 (0.327) Data 0.001 (0.002) Loss 1.2779 (1.3570) Prec@1 71.094 (68.537) Prec@5 88.281 (86.920) Epoch: [78][3180/10010] Time 0.325 (0.327) Data 0.001 (0.002) Loss 1.1428 (1.3570) Prec@1 72.656 (68.541) Prec@5 92.188 (86.921) Epoch: [78][3190/10010] Time 0.322 (0.327) Data 0.000 (0.002) Loss 1.3023 (1.3570) Prec@1 71.094 (68.544) Prec@5 85.156 (86.922) Epoch: [78][3200/10010] Time 0.309 (0.327) Data 0.001 (0.002) Loss 1.3802 (1.3568) Prec@1 69.531 (68.550) Prec@5 85.156 (86.924) Epoch: [78][3210/10010] Time 0.325 (0.327) Data 0.001 (0.002) Loss 1.0742 (1.3565) Prec@1 75.781 (68.552) Prec@5 91.406 (86.928) Epoch: [78][3220/10010] Time 0.325 (0.327) Data 0.001 (0.001) Loss 0.8481 (1.3565) Prec@1 77.344 (68.551) Prec@5 95.312 (86.930) Epoch: [78][3230/10010] Time 0.318 (0.327) Data 0.000 (0.001) Loss 1.5368 (1.3568) Prec@1 64.844 (68.544) Prec@5 84.375 (86.927) Epoch: [78][3240/10010] Time 0.336 (0.327) Data 0.001 (0.001) Loss 1.6969 (1.3571) Prec@1 63.281 (68.535) Prec@5 83.594 (86.924) Epoch: [78][3250/10010] Time 0.321 (0.327) Data 0.001 (0.001) Loss 1.2467 (1.3571) Prec@1 71.094 (68.538) Prec@5 90.625 (86.923) Epoch: [78][3260/10010] Time 0.316 (0.327) Data 0.000 (0.001) Loss 1.4529 (1.3574) Prec@1 67.188 (68.534) Prec@5 83.594 (86.919) Epoch: [78][3270/10010] Time 0.325 (0.327) Data 0.000 (0.001) Loss 1.3547 (1.3575) Prec@1 68.750 (68.530) Prec@5 88.281 (86.919) Epoch: [78][3280/10010] Time 0.320 (0.327) Data 0.001 (0.001) Loss 1.1251 (1.3575) Prec@1 71.875 (68.530) Prec@5 92.188 (86.923) Epoch: [78][3290/10010] Time 0.336 (0.327) Data 0.001 (0.001) Loss 1.1517 (1.3573) Prec@1 70.312 (68.529) Prec@5 87.500 (86.924) Epoch: [78][3300/10010] Time 0.320 (0.327) Data 0.000 (0.001) Loss 1.0837 (1.3571) Prec@1 72.656 (68.532) Prec@5 91.406 (86.928) Epoch: [78][3310/10010] Time 0.331 (0.327) Data 0.000 (0.001) Loss 1.4537 (1.3572) Prec@1 67.969 (68.526) Prec@5 85.938 (86.925) Epoch: [78][3320/10010] Time 0.338 (0.327) Data 0.000 (0.001) Loss 1.2857 (1.3570) Prec@1 72.656 (68.530) Prec@5 89.844 (86.930) Epoch: [78][3330/10010] Time 0.325 (0.327) Data 0.001 (0.001) Loss 1.1880 (1.3569) Prec@1 70.312 (68.532) Prec@5 89.062 (86.930) Epoch: [78][3340/10010] Time 0.336 (0.327) Data 0.001 (0.001) Loss 1.0419 (1.3568) Prec@1 78.125 (68.535) Prec@5 93.750 (86.932) Epoch: [78][3350/10010] Time 0.331 (0.327) Data 0.000 (0.001) Loss 1.2477 (1.3566) Prec@1 71.875 (68.542) Prec@5 86.719 (86.933) Epoch: [78][3360/10010] Time 0.319 (0.327) Data 0.001 (0.001) Loss 1.3304 (1.3566) Prec@1 65.625 (68.540) Prec@5 89.844 (86.934) Epoch: [78][3370/10010] Time 0.331 (0.327) Data 0.001 (0.001) Loss 1.7733 (1.3570) Prec@1 61.719 (68.529) Prec@5 76.562 (86.926) Epoch: [78][3380/10010] Time 0.322 (0.327) Data 0.001 (0.001) Loss 1.1912 (1.3566) Prec@1 71.875 (68.539) Prec@5 87.500 (86.931) Epoch: [78][3390/10010] Time 0.332 (0.327) Data 0.000 (0.001) Loss 1.6348 (1.3568) Prec@1 60.938 (68.539) Prec@5 87.500 (86.930) Epoch: [78][3400/10010] Time 0.335 (0.327) Data 0.001 (0.001) Loss 1.1211 (1.3567) Prec@1 68.750 (68.542) Prec@5 90.625 (86.933) Epoch: [78][3410/10010] Time 0.322 (0.327) Data 0.001 (0.001) Loss 1.4837 (1.3565) Prec@1 64.844 (68.548) Prec@5 85.938 (86.937) Epoch: [78][3420/10010] Time 0.319 (0.327) Data 0.001 (0.001) Loss 1.2542 (1.3564) Prec@1 73.438 (68.551) Prec@5 88.281 (86.938) Epoch: [78][3430/10010] Time 0.340 (0.327) Data 0.001 (0.001) Loss 1.2767 (1.3564) Prec@1 69.531 (68.550) Prec@5 89.062 (86.938) Epoch: [78][3440/10010] Time 0.315 (0.327) Data 0.001 (0.001) Loss 1.4661 (1.3564) Prec@1 64.844 (68.547) Prec@5 86.719 (86.939) Epoch: [78][3450/10010] Time 0.334 (0.327) Data 0.001 (0.001) Loss 1.3304 (1.3565) Prec@1 67.969 (68.544) Prec@5 85.938 (86.939) Epoch: [78][3460/10010] Time 0.320 (0.327) Data 0.000 (0.001) Loss 1.5293 (1.3566) Prec@1 64.062 (68.546) Prec@5 85.156 (86.935) Epoch: [78][3470/10010] Time 0.330 (0.327) Data 0.001 (0.001) Loss 1.7726 (1.3569) Prec@1 62.500 (68.541) Prec@5 81.250 (86.931) Epoch: [78][3480/10010] Time 0.319 (0.327) Data 0.001 (0.001) Loss 1.0997 (1.3570) Prec@1 72.656 (68.536) Prec@5 93.750 (86.929) Epoch: [78][3490/10010] Time 0.314 (0.327) Data 0.001 (0.001) Loss 1.1886 (1.3570) Prec@1 77.344 (68.538) Prec@5 88.281 (86.930) Epoch: [78][3500/10010] Time 0.341 (0.327) Data 0.000 (0.001) Loss 1.3296 (1.3570) Prec@1 64.062 (68.540) Prec@5 88.281 (86.930) Epoch: [78][3510/10010] Time 0.337 (0.327) Data 0.001 (0.001) Loss 1.2185 (1.3569) Prec@1 71.094 (68.543) Prec@5 87.500 (86.930) Epoch: [78][3520/10010] Time 0.313 (0.327) Data 0.000 (0.001) Loss 1.3471 (1.3569) Prec@1 67.188 (68.538) Prec@5 89.844 (86.931) Epoch: [78][3530/10010] Time 0.318 (0.327) Data 0.001 (0.001) Loss 1.2280 (1.3568) Prec@1 75.000 (68.542) Prec@5 85.156 (86.933) Epoch: [78][3540/10010] Time 0.316 (0.327) Data 0.001 (0.001) Loss 1.4068 (1.3570) Prec@1 65.625 (68.541) Prec@5 85.156 (86.932) Epoch: [78][3550/10010] Time 0.338 (0.327) Data 0.001 (0.001) Loss 1.5836 (1.3569) Prec@1 60.938 (68.542) Prec@5 88.281 (86.933) Epoch: [78][3560/10010] Time 0.319 (0.327) Data 0.000 (0.001) Loss 1.2131 (1.3571) Prec@1 71.094 (68.538) Prec@5 91.406 (86.931) Epoch: [78][3570/10010] Time 0.317 (0.327) Data 0.000 (0.001) Loss 1.4480 (1.3572) Prec@1 64.844 (68.534) Prec@5 85.938 (86.933) Epoch: [78][3580/10010] Time 0.315 (0.327) Data 0.000 (0.001) Loss 1.2980 (1.3572) Prec@1 70.312 (68.534) Prec@5 85.156 (86.934) Epoch: [78][3590/10010] Time 0.322 (0.327) Data 0.000 (0.001) Loss 1.2937 (1.3572) Prec@1 67.188 (68.533) Prec@5 86.719 (86.933) Epoch: [78][3600/10010] Time 0.318 (0.327) Data 0.000 (0.001) Loss 1.3260 (1.3574) Prec@1 67.969 (68.528) Prec@5 89.062 (86.929) Epoch: [78][3610/10010] Time 0.316 (0.327) Data 0.001 (0.001) Loss 1.2697 (1.3571) Prec@1 71.875 (68.533) Prec@5 88.281 (86.932) Epoch: [78][3620/10010] Time 0.332 (0.327) Data 0.000 (0.001) Loss 1.5749 (1.3572) Prec@1 61.719 (68.532) Prec@5 83.594 (86.931) Epoch: [78][3630/10010] Time 0.311 (0.327) Data 0.001 (0.001) Loss 1.5245 (1.3571) Prec@1 67.969 (68.534) Prec@5 84.375 (86.930) Epoch: [78][3640/10010] Time 0.319 (0.327) Data 0.001 (0.001) Loss 1.4028 (1.3571) Prec@1 64.844 (68.533) Prec@5 88.281 (86.930) Epoch: [78][3650/10010] Time 0.335 (0.327) Data 0.000 (0.001) Loss 1.3207 (1.3571) Prec@1 70.312 (68.532) Prec@5 88.281 (86.929) Epoch: [78][3660/10010] Time 0.342 (0.327) Data 0.001 (0.001) Loss 1.3272 (1.3571) Prec@1 69.531 (68.532) Prec@5 89.062 (86.931) Epoch: [78][3670/10010] Time 0.322 (0.327) Data 0.001 (0.001) Loss 1.7712 (1.3574) Prec@1 62.500 (68.531) Prec@5 81.250 (86.928) Epoch: [78][3680/10010] Time 0.322 (0.327) Data 0.001 (0.001) Loss 1.4795 (1.3572) Prec@1 70.312 (68.534) Prec@5 85.156 (86.931) Epoch: [78][3690/10010] Time 0.338 (0.327) Data 0.000 (0.001) Loss 1.2955 (1.3572) Prec@1 68.750 (68.536) Prec@5 87.500 (86.929) Epoch: [78][3700/10010] Time 0.333 (0.327) Data 0.000 (0.001) Loss 1.0827 (1.3573) Prec@1 72.656 (68.531) Prec@5 89.844 (86.929) Epoch: [78][3710/10010] Time 0.314 (0.327) Data 0.000 (0.001) Loss 1.5915 (1.3575) Prec@1 66.406 (68.529) Prec@5 82.812 (86.926) Epoch: [78][3720/10010] Time 0.322 (0.327) Data 0.001 (0.001) Loss 1.2646 (1.3576) Prec@1 69.531 (68.527) Prec@5 91.406 (86.925) Epoch: [78][3730/10010] Time 0.323 (0.327) Data 0.000 (0.001) Loss 1.5079 (1.3573) Prec@1 64.844 (68.531) Prec@5 82.812 (86.928) Epoch: [78][3740/10010] Time 0.331 (0.327) Data 0.001 (0.001) Loss 1.2659 (1.3575) Prec@1 66.406 (68.530) Prec@5 88.281 (86.924) Epoch: [78][3750/10010] Time 0.327 (0.327) Data 0.000 (0.001) Loss 1.4806 (1.3576) Prec@1 69.531 (68.529) Prec@5 86.719 (86.924) Epoch: [78][3760/10010] Time 0.336 (0.327) Data 0.001 (0.001) Loss 1.2595 (1.3575) Prec@1 71.875 (68.531) Prec@5 86.719 (86.925) Epoch: [78][3770/10010] Time 0.316 (0.327) Data 0.001 (0.001) Loss 1.4669 (1.3575) Prec@1 60.156 (68.531) Prec@5 86.719 (86.925) Epoch: [78][3780/10010] Time 0.332 (0.327) Data 0.001 (0.001) Loss 1.2110 (1.3574) Prec@1 71.094 (68.533) Prec@5 89.062 (86.925) Epoch: [78][3790/10010] Time 0.335 (0.327) Data 0.001 (0.001) Loss 1.1526 (1.3575) Prec@1 71.875 (68.532) Prec@5 89.844 (86.923) Epoch: [78][3800/10010] Time 0.337 (0.327) Data 0.000 (0.001) Loss 1.4000 (1.3576) Prec@1 74.219 (68.532) Prec@5 85.938 (86.921) Epoch: [78][3810/10010] Time 0.342 (0.327) Data 0.000 (0.001) Loss 1.2109 (1.3576) Prec@1 69.531 (68.530) Prec@5 89.844 (86.923) Epoch: [78][3820/10010] Time 0.320 (0.327) Data 0.001 (0.001) Loss 1.4862 (1.3575) Prec@1 62.500 (68.533) Prec@5 82.812 (86.925) Epoch: [78][3830/10010] Time 0.327 (0.327) Data 0.001 (0.001) Loss 1.3823 (1.3574) Prec@1 69.531 (68.534) Prec@5 88.281 (86.927) Epoch: [78][3840/10010] Time 0.333 (0.327) Data 0.000 (0.001) Loss 1.3781 (1.3573) Prec@1 71.875 (68.537) Prec@5 85.938 (86.927) Epoch: [78][3850/10010] Time 0.334 (0.327) Data 0.001 (0.001) Loss 1.2901 (1.3572) Prec@1 67.969 (68.534) Prec@5 87.500 (86.929) Epoch: [78][3860/10010] Time 0.330 (0.327) Data 0.001 (0.001) Loss 1.1744 (1.3571) Prec@1 70.312 (68.535) Prec@5 89.844 (86.931) Epoch: [78][3870/10010] Time 0.308 (0.327) Data 0.001 (0.001) Loss 1.7411 (1.3574) Prec@1 59.375 (68.530) Prec@5 81.250 (86.927) Epoch: [78][3880/10010] Time 0.332 (0.327) Data 0.001 (0.001) Loss 1.2419 (1.3573) Prec@1 64.844 (68.527) Prec@5 91.406 (86.931) Epoch: [78][3890/10010] Time 0.339 (0.327) Data 0.001 (0.001) Loss 1.2154 (1.3571) Prec@1 71.875 (68.534) Prec@5 89.844 (86.934) Epoch: [78][3900/10010] Time 0.339 (0.327) Data 0.001 (0.001) Loss 1.2013 (1.3569) Prec@1 69.531 (68.536) Prec@5 89.062 (86.936) Epoch: [78][3910/10010] Time 0.314 (0.327) Data 0.001 (0.001) Loss 1.1220 (1.3569) Prec@1 75.000 (68.536) Prec@5 89.844 (86.935) Epoch: [78][3920/10010] Time 0.321 (0.327) Data 0.000 (0.001) Loss 1.1679 (1.3570) Prec@1 73.438 (68.532) Prec@5 89.844 (86.935) Epoch: [78][3930/10010] Time 0.316 (0.327) Data 0.001 (0.001) Loss 1.4629 (1.3571) Prec@1 67.188 (68.532) Prec@5 84.375 (86.933) Epoch: [78][3940/10010] Time 0.323 (0.327) Data 0.000 (0.001) Loss 1.3066 (1.3573) Prec@1 69.531 (68.526) Prec@5 85.938 (86.928) Epoch: [78][3950/10010] Time 0.335 (0.327) Data 0.001 (0.001) Loss 1.4913 (1.3575) Prec@1 66.406 (68.521) Prec@5 84.375 (86.927) Epoch: [78][3960/10010] Time 0.328 (0.327) Data 0.000 (0.001) Loss 1.3035 (1.3575) Prec@1 71.094 (68.521) Prec@5 88.281 (86.926) Epoch: [78][3970/10010] Time 0.330 (0.327) Data 0.001 (0.001) Loss 1.5659 (1.3578) Prec@1 60.156 (68.518) Prec@5 82.812 (86.918) Epoch: [78][3980/10010] Time 0.336 (0.327) Data 0.001 (0.001) Loss 1.3992 (1.3578) Prec@1 65.625 (68.517) Prec@5 85.938 (86.918) Epoch: [78][3990/10010] Time 0.325 (0.327) Data 0.001 (0.001) Loss 1.4498 (1.3576) Prec@1 71.875 (68.525) Prec@5 85.938 (86.922) Epoch: [78][4000/10010] Time 0.327 (0.327) Data 0.001 (0.001) Loss 1.3018 (1.3577) Prec@1 73.438 (68.521) Prec@5 89.062 (86.921) Epoch: [78][4010/10010] Time 0.336 (0.327) Data 0.001 (0.001) Loss 1.4261 (1.3577) Prec@1 66.406 (68.521) Prec@5 83.594 (86.918) Epoch: [78][4020/10010] Time 0.333 (0.327) Data 0.001 (0.001) Loss 1.4007 (1.3579) Prec@1 73.438 (68.519) Prec@5 85.938 (86.917) Epoch: [78][4030/10010] Time 0.335 (0.327) Data 0.001 (0.001) Loss 1.2035 (1.3580) Prec@1 73.438 (68.513) Prec@5 91.406 (86.915) Epoch: [78][4040/10010] Time 0.317 (0.327) Data 0.001 (0.001) Loss 1.3176 (1.3582) Prec@1 71.094 (68.514) Prec@5 86.719 (86.912) Epoch: [78][4050/10010] Time 0.323 (0.327) Data 0.001 (0.001) Loss 1.2105 (1.3581) Prec@1 75.000 (68.513) Prec@5 89.062 (86.914) Epoch: [78][4060/10010] Time 0.323 (0.327) Data 0.001 (0.001) Loss 1.3753 (1.3584) Prec@1 65.625 (68.507) Prec@5 86.719 (86.909) Epoch: [78][4070/10010] Time 0.314 (0.327) Data 0.001 (0.001) Loss 1.4021 (1.3583) Prec@1 61.719 (68.507) Prec@5 87.500 (86.913) /data/vision/torralba/deepscene/lib/anaconda2/lib/python2.7/site-packages/PIL/TiffImagePlugin.py:692: UserWarning: Possibly corrupt EXIF data. Expecting to read 1835008 bytes but only got 0. Skipping tag 0 "Skipping tag %s" % (size, len(data), tag)) Epoch: [78][4080/10010] Time 0.325 (0.327) Data 0.000 (0.001) Loss 1.0099 (1.3580) Prec@1 70.312 (68.515) Prec@5 93.750 (86.917) Epoch: [78][4090/10010] Time 0.339 (0.327) Data 0.001 (0.001) Loss 1.4193 (1.3583) Prec@1 67.188 (68.511) Prec@5 84.375 (86.910) Epoch: [78][4100/10010] Time 0.334 (0.327) Data 0.001 (0.001) Loss 1.5251 (1.3583) Prec@1 66.406 (68.512) Prec@5 83.594 (86.907) Epoch: [78][4110/10010] Time 0.332 (0.327) Data 0.001 (0.001) Loss 1.0807 (1.3581) Prec@1 77.344 (68.521) Prec@5 91.406 (86.910) Epoch: [78][4120/10010] Time 0.331 (0.327) Data 0.001 (0.001) Loss 1.2631 (1.3584) Prec@1 65.625 (68.517) Prec@5 89.844 (86.908) Epoch: [78][4130/10010] Time 0.321 (0.327) Data 0.001 (0.001) Loss 1.5277 (1.3584) Prec@1 61.719 (68.516) Prec@5 86.719 (86.909) Epoch: [78][4140/10010] Time 0.339 (0.327) Data 0.001 (0.001) Loss 1.3473 (1.3585) Prec@1 63.281 (68.513) Prec@5 86.719 (86.904) Epoch: [78][4150/10010] Time 0.331 (0.327) Data 0.001 (0.001) Loss 1.5281 (1.3584) Prec@1 63.281 (68.514) Prec@5 86.719 (86.906) Epoch: [78][4160/10010] Time 0.321 (0.327) Data 0.001 (0.001) Loss 1.2438 (1.3584) Prec@1 71.875 (68.513) Prec@5 88.281 (86.905) Epoch: [78][4170/10010] Time 0.334 (0.327) Data 0.001 (0.001) Loss 1.4115 (1.3584) Prec@1 60.156 (68.515) Prec@5 85.938 (86.907) Epoch: [78][4180/10010] Time 0.328 (0.327) Data 0.001 (0.001) Loss 1.4370 (1.3583) Prec@1 69.531 (68.514) Prec@5 87.500 (86.907) Epoch: [78][4190/10010] Time 0.335 (0.327) Data 0.001 (0.001) Loss 1.4206 (1.3584) Prec@1 61.719 (68.511) Prec@5 87.500 (86.907) Epoch: [78][4200/10010] Time 0.323 (0.327) Data 0.000 (0.001) Loss 1.2840 (1.3586) Prec@1 71.094 (68.509) Prec@5 88.281 (86.904) Epoch: [78][4210/10010] Time 0.337 (0.327) Data 0.000 (0.001) Loss 1.0264 (1.3587) Prec@1 72.656 (68.508) Prec@5 90.625 (86.902) Epoch: [78][4220/10010] Time 0.347 (0.327) Data 0.000 (0.001) Loss 1.1627 (1.3589) Prec@1 75.781 (68.506) Prec@5 89.844 (86.900) Epoch: [78][4230/10010] Time 0.337 (0.327) Data 0.001 (0.001) Loss 1.5042 (1.3590) Prec@1 67.188 (68.504) Prec@5 82.031 (86.897) Epoch: [78][4240/10010] Time 0.320 (0.327) Data 0.000 (0.001) Loss 1.3454 (1.3589) Prec@1 68.750 (68.503) Prec@5 88.281 (86.896) Epoch: [78][4250/10010] Time 0.321 (0.327) Data 0.001 (0.001) Loss 1.3430 (1.3588) Prec@1 65.625 (68.506) Prec@5 87.500 (86.899) Epoch: [78][4260/10010] Time 0.335 (0.327) Data 0.000 (0.001) Loss 1.2477 (1.3587) Prec@1 67.188 (68.506) Prec@5 88.281 (86.901) Epoch: [78][4270/10010] Time 0.335 (0.327) Data 0.000 (0.001) Loss 1.2723 (1.3588) Prec@1 71.094 (68.506) Prec@5 88.281 (86.898) Epoch: [78][4280/10010] Time 0.318 (0.327) Data 0.000 (0.001) Loss 1.4152 (1.3588) Prec@1 67.969 (68.507) Prec@5 87.500 (86.898) Epoch: [78][4290/10010] Time 0.328 (0.327) Data 0.000 (0.001) Loss 1.5683 (1.3587) Prec@1 67.188 (68.512) Prec@5 85.156 (86.899) Epoch: [78][4300/10010] Time 0.332 (0.327) Data 0.001 (0.001) Loss 1.2603 (1.3585) Prec@1 68.750 (68.517) Prec@5 88.281 (86.903) Epoch: [78][4310/10010] Time 0.331 (0.327) Data 0.001 (0.001) Loss 1.4085 (1.3585) Prec@1 65.625 (68.521) Prec@5 87.500 (86.903) Epoch: [78][4320/10010] Time 0.324 (0.327) Data 0.001 (0.001) Loss 1.2519 (1.3584) Prec@1 71.094 (68.520) Prec@5 91.406 (86.904) Epoch: [78][4330/10010] Time 0.339 (0.327) Data 0.001 (0.001) Loss 1.1936 (1.3583) Prec@1 71.094 (68.521) Prec@5 89.844 (86.904) Epoch: [78][4340/10010] Time 0.317 (0.327) Data 0.001 (0.001) Loss 1.3094 (1.3583) Prec@1 69.531 (68.524) Prec@5 89.844 (86.905) Epoch: [78][4350/10010] Time 0.332 (0.327) Data 0.001 (0.001) Loss 1.1819 (1.3583) Prec@1 71.875 (68.524) Prec@5 90.625 (86.906) Epoch: [78][4360/10010] Time 0.332 (0.327) Data 0.001 (0.001) Loss 1.4086 (1.3585) Prec@1 64.844 (68.518) Prec@5 88.281 (86.905) Epoch: [78][4370/10010] Time 0.336 (0.327) Data 0.000 (0.001) Loss 1.4180 (1.3585) Prec@1 67.188 (68.521) Prec@5 85.938 (86.904) Epoch: [78][4380/10010] Time 0.340 (0.327) Data 0.000 (0.001) Loss 1.2810 (1.3586) Prec@1 64.844 (68.516) Prec@5 89.844 (86.901) Epoch: [78][4390/10010] Time 0.337 (0.327) Data 0.001 (0.001) Loss 1.0961 (1.3586) Prec@1 74.219 (68.517) Prec@5 90.625 (86.902) Epoch: [78][4400/10010] Time 0.325 (0.327) Data 0.001 (0.001) Loss 1.5362 (1.3588) Prec@1 66.406 (68.510) Prec@5 82.031 (86.898) Epoch: [78][4410/10010] Time 0.322 (0.327) Data 0.001 (0.001) Loss 1.7324 (1.3591) Prec@1 61.719 (68.504) Prec@5 80.469 (86.893) Epoch: [78][4420/10010] Time 0.323 (0.327) Data 0.001 (0.001) Loss 1.3834 (1.3590) Prec@1 69.531 (68.505) Prec@5 87.500 (86.895) Epoch: [78][4430/10010] Time 0.336 (0.327) Data 0.000 (0.001) Loss 1.2674 (1.3590) Prec@1 67.188 (68.507) Prec@5 89.062 (86.896) Epoch: [78][4440/10010] Time 0.339 (0.327) Data 0.001 (0.001) Loss 1.0404 (1.3589) Prec@1 79.688 (68.509) Prec@5 89.062 (86.896) Epoch: [78][4450/10010] Time 0.328 (0.327) Data 0.001 (0.001) Loss 1.3785 (1.3589) Prec@1 67.969 (68.507) Prec@5 88.281 (86.899) Epoch: [78][4460/10010] Time 0.317 (0.327) Data 0.001 (0.001) Loss 1.3086 (1.3590) Prec@1 69.531 (68.507) Prec@5 87.500 (86.897) Epoch: [78][4470/10010] Time 0.331 (0.327) Data 0.001 (0.001) Loss 1.4138 (1.3589) Prec@1 71.875 (68.508) Prec@5 85.156 (86.898) Epoch: [78][4480/10010] Time 0.320 (0.327) Data 0.001 (0.001) Loss 1.4358 (1.3587) Prec@1 67.188 (68.510) Prec@5 85.156 (86.903) Epoch: [78][4490/10010] Time 0.321 (0.327) Data 0.001 (0.001) Loss 1.1330 (1.3589) Prec@1 72.656 (68.509) Prec@5 89.844 (86.899) Epoch: [78][4500/10010] Time 0.328 (0.327) Data 0.001 (0.001) Loss 1.3088 (1.3589) Prec@1 71.094 (68.510) Prec@5 86.719 (86.900) Epoch: [78][4510/10010] Time 0.317 (0.327) Data 0.001 (0.001) Loss 1.3477 (1.3590) Prec@1 68.750 (68.506) Prec@5 88.281 (86.897) Epoch: [78][4520/10010] Time 0.332 (0.327) Data 0.001 (0.001) Loss 1.3088 (1.3592) Prec@1 67.969 (68.501) Prec@5 88.281 (86.896) Epoch: [78][4530/10010] Time 0.314 (0.327) Data 0.001 (0.001) Loss 1.6697 (1.3593) Prec@1 61.719 (68.499) Prec@5 81.250 (86.893) Epoch: [78][4540/10010] Time 0.330 (0.327) Data 0.001 (0.001) Loss 1.4902 (1.3593) Prec@1 64.062 (68.498) Prec@5 87.500 (86.892) Epoch: [78][4550/10010] Time 0.336 (0.327) Data 0.000 (0.001) Loss 1.6061 (1.3594) Prec@1 62.500 (68.494) Prec@5 81.250 (86.891) Epoch: [78][4560/10010] Time 0.314 (0.327) Data 0.001 (0.001) Loss 1.0913 (1.3594) Prec@1 71.875 (68.493) Prec@5 92.188 (86.892) Epoch: [78][4570/10010] Time 0.316 (0.327) Data 0.001 (0.001) Loss 1.2606 (1.3594) Prec@1 73.438 (68.490) Prec@5 85.938 (86.893) Epoch: [78][4580/10010] Time 0.331 (0.327) Data 0.001 (0.001) Loss 1.2227 (1.3593) Prec@1 76.562 (68.490) Prec@5 89.062 (86.892) Epoch: [78][4590/10010] Time 0.323 (0.327) Data 0.001 (0.001) Loss 1.2828 (1.3592) Prec@1 65.625 (68.489) Prec@5 88.281 (86.894) Epoch: [78][4600/10010] Time 0.317 (0.327) Data 0.001 (0.001) Loss 1.2291 (1.3593) Prec@1 71.094 (68.485) Prec@5 87.500 (86.892) Epoch: [78][4610/10010] Time 0.336 (0.327) Data 0.001 (0.001) Loss 1.0330 (1.3594) Prec@1 77.344 (68.487) Prec@5 94.531 (86.890) Epoch: [78][4620/10010] Time 0.339 (0.327) Data 0.001 (0.001) Loss 1.5313 (1.3594) Prec@1 68.750 (68.487) Prec@5 82.812 (86.889) Epoch: [78][4630/10010] Time 0.324 (0.327) Data 0.001 (0.001) Loss 1.3232 (1.3594) Prec@1 71.094 (68.485) Prec@5 88.281 (86.892) Epoch: [78][4640/10010] Time 0.337 (0.327) Data 0.001 (0.001) Loss 1.0653 (1.3592) Prec@1 75.000 (68.490) Prec@5 89.844 (86.895) Epoch: [78][4650/10010] Time 0.334 (0.327) Data 0.000 (0.001) Loss 1.5364 (1.3595) Prec@1 62.500 (68.484) Prec@5 85.156 (86.892) Epoch: [78][4660/10010] Time 0.330 (0.327) Data 0.001 (0.001) Loss 1.2285 (1.3596) Prec@1 75.000 (68.482) Prec@5 88.281 (86.890) Epoch: [78][4670/10010] Time 0.322 (0.327) Data 0.001 (0.001) Loss 1.1837 (1.3597) Prec@1 71.875 (68.481) Prec@5 89.844 (86.890) Epoch: [78][4680/10010] Time 0.338 (0.327) Data 0.001 (0.001) Loss 1.3570 (1.3596) Prec@1 67.969 (68.483) Prec@5 86.719 (86.891) Epoch: [78][4690/10010] Time 0.335 (0.327) Data 0.001 (0.001) Loss 1.3789 (1.3597) Prec@1 71.875 (68.485) Prec@5 88.281 (86.891) Epoch: [78][4700/10010] Time 0.325 (0.327) Data 0.000 (0.001) Loss 1.2992 (1.3598) Prec@1 67.188 (68.483) Prec@5 85.938 (86.887) Epoch: [78][4710/10010] Time 0.321 (0.327) Data 0.001 (0.001) Loss 1.4967 (1.3600) Prec@1 70.312 (68.478) Prec@5 84.375 (86.883) Epoch: [78][4720/10010] Time 0.321 (0.327) Data 0.000 (0.001) Loss 1.5981 (1.3600) Prec@1 59.375 (68.479) Prec@5 85.156 (86.884) Epoch: [78][4730/10010] Time 0.315 (0.327) Data 0.000 (0.001) Loss 1.6064 (1.3601) Prec@1 61.719 (68.477) Prec@5 82.812 (86.883) Epoch: [78][4740/10010] Time 0.318 (0.327) Data 0.001 (0.001) Loss 1.1132 (1.3602) Prec@1 72.656 (68.473) Prec@5 89.844 (86.884) Epoch: [78][4750/10010] Time 0.322 (0.327) Data 0.000 (0.001) Loss 0.9735 (1.3602) Prec@1 74.219 (68.475) Prec@5 92.969 (86.882) Epoch: [78][4760/10010] Time 0.336 (0.327) Data 0.001 (0.001) Loss 1.3110 (1.3603) Prec@1 70.312 (68.471) Prec@5 87.500 (86.879) Epoch: [78][4770/10010] Time 0.320 (0.327) Data 0.001 (0.001) Loss 1.4149 (1.3603) Prec@1 68.750 (68.470) Prec@5 86.719 (86.878) Epoch: [78][4780/10010] Time 0.320 (0.327) Data 0.000 (0.001) Loss 1.2248 (1.3603) Prec@1 75.000 (68.472) Prec@5 88.281 (86.878) Epoch: [78][4790/10010] Time 0.331 (0.327) Data 0.001 (0.001) Loss 1.2112 (1.3602) Prec@1 64.844 (68.472) Prec@5 89.844 (86.879) Epoch: [78][4800/10010] Time 0.323 (0.327) Data 0.001 (0.001) Loss 1.4153 (1.3602) Prec@1 70.312 (68.472) Prec@5 87.500 (86.879) Epoch: [78][4810/10010] Time 0.327 (0.327) Data 0.001 (0.001) Loss 1.3930 (1.3601) Prec@1 67.969 (68.474) Prec@5 89.844 (86.880) Epoch: [78][4820/10010] Time 0.330 (0.327) Data 0.001 (0.001) Loss 0.9073 (1.3600) Prec@1 76.562 (68.475) Prec@5 92.969 (86.882) Epoch: [78][4830/10010] Time 0.321 (0.327) Data 0.001 (0.001) Loss 1.4091 (1.3598) Prec@1 62.500 (68.477) Prec@5 86.719 (86.885) Epoch: [78][4840/10010] Time 0.330 (0.327) Data 0.001 (0.001) Loss 1.1417 (1.3598) Prec@1 74.219 (68.477) Prec@5 89.844 (86.885) Epoch: [78][4850/10010] Time 0.315 (0.327) Data 0.001 (0.001) Loss 1.5416 (1.3599) Prec@1 64.844 (68.477) Prec@5 86.719 (86.885) Epoch: [78][4860/10010] Time 0.338 (0.327) Data 0.000 (0.001) Loss 1.4066 (1.3599) Prec@1 70.312 (68.474) Prec@5 82.031 (86.883) Epoch: [78][4870/10010] Time 0.341 (0.327) Data 0.001 (0.001) Loss 1.5184 (1.3600) Prec@1 67.188 (68.472) Prec@5 85.156 (86.882) Epoch: [78][4880/10010] Time 0.330 (0.327) Data 0.001 (0.001) Loss 1.1862 (1.3600) Prec@1 71.094 (68.473) Prec@5 90.625 (86.883) Epoch: [78][4890/10010] Time 0.326 (0.327) Data 0.000 (0.001) Loss 1.4448 (1.3600) Prec@1 65.625 (68.471) Prec@5 84.375 (86.883) Epoch: [78][4900/10010] Time 0.330 (0.327) Data 0.000 (0.001) Loss 1.4892 (1.3602) Prec@1 67.188 (68.470) Prec@5 86.719 (86.880) Epoch: [78][4910/10010] Time 0.339 (0.327) Data 0.001 (0.001) Loss 1.7009 (1.3602) Prec@1 62.500 (68.468) Prec@5 79.688 (86.878) Epoch: [78][4920/10010] Time 0.310 (0.327) Data 0.000 (0.001) Loss 1.7112 (1.3602) Prec@1 63.281 (68.471) Prec@5 84.375 (86.879) Epoch: [78][4930/10010] Time 0.331 (0.327) Data 0.001 (0.001) Loss 1.2843 (1.3601) Prec@1 69.531 (68.473) Prec@5 88.281 (86.881) Epoch: [78][4940/10010] Time 0.315 (0.327) Data 0.001 (0.001) Loss 1.1303 (1.3602) Prec@1 75.000 (68.472) Prec@5 89.062 (86.879) Epoch: [78][4950/10010] Time 0.329 (0.327) Data 0.001 (0.001) Loss 1.5564 (1.3602) Prec@1 68.750 (68.474) Prec@5 82.031 (86.877) Epoch: [78][4960/10010] Time 0.320 (0.327) Data 0.001 (0.001) Loss 1.6025 (1.3603) Prec@1 63.281 (68.472) Prec@5 85.156 (86.876) Epoch: [78][4970/10010] Time 0.321 (0.327) Data 0.000 (0.001) Loss 0.9238 (1.3603) Prec@1 71.875 (68.470) Prec@5 93.750 (86.875) Epoch: [78][4980/10010] Time 0.334 (0.327) Data 0.001 (0.001) Loss 1.5959 (1.3603) Prec@1 60.938 (68.472) Prec@5 82.812 (86.876) Epoch: [78][4990/10010] Time 0.320 (0.327) Data 0.001 (0.001) Loss 1.3728 (1.3603) Prec@1 66.406 (68.472) Prec@5 85.156 (86.875) Epoch: [78][5000/10010] Time 0.327 (0.327) Data 0.001 (0.001) Loss 1.5112 (1.3604) Prec@1 64.062 (68.474) Prec@5 83.594 (86.875) Epoch: [78][5010/10010] Time 0.335 (0.327) Data 0.000 (0.001) Loss 1.2262 (1.3602) Prec@1 71.875 (68.477) Prec@5 88.281 (86.876) Epoch: [78][5020/10010] Time 0.334 (0.327) Data 0.000 (0.001) Loss 1.3449 (1.3603) Prec@1 68.750 (68.476) Prec@5 85.938 (86.876) Epoch: [78][5030/10010] Time 0.334 (0.327) Data 0.001 (0.001) Loss 1.2746 (1.3603) Prec@1 67.188 (68.478) Prec@5 87.500 (86.878) Epoch: [78][5040/10010] Time 0.330 (0.327) Data 0.001 (0.001) Loss 1.2185 (1.3601) Prec@1 67.969 (68.479) Prec@5 87.500 (86.879) Epoch: [78][5050/10010] Time 0.335 (0.327) Data 0.001 (0.001) Loss 1.3735 (1.3600) Prec@1 66.406 (68.485) Prec@5 86.719 (86.882) Epoch: [78][5060/10010] Time 0.329 (0.327) Data 0.001 (0.001) Loss 1.4490 (1.3601) Prec@1 66.406 (68.482) Prec@5 85.938 (86.881) Epoch: [78][5070/10010] Time 0.320 (0.327) Data 0.001 (0.001) Loss 1.2713 (1.3602) Prec@1 71.875 (68.479) Prec@5 89.844 (86.881) Epoch: [78][5080/10010] Time 0.337 (0.327) Data 0.001 (0.001) Loss 1.3039 (1.3602) Prec@1 71.875 (68.480) Prec@5 84.375 (86.880) Epoch: [78][5090/10010] Time 0.342 (0.327) Data 0.001 (0.001) Loss 1.2971 (1.3601) Prec@1 67.188 (68.482) Prec@5 90.625 (86.882) Epoch: [78][5100/10010] Time 0.319 (0.327) Data 0.001 (0.001) Loss 1.1114 (1.3601) Prec@1 72.656 (68.482) Prec@5 89.844 (86.881) Epoch: [78][5110/10010] Time 0.338 (0.327) Data 0.001 (0.001) Loss 1.3366 (1.3601) Prec@1 67.969 (68.483) Prec@5 89.062 (86.881) Epoch: [78][5120/10010] Time 0.335 (0.327) Data 0.000 (0.001) Loss 1.3101 (1.3602) Prec@1 70.312 (68.481) Prec@5 89.844 (86.881) Epoch: [78][5130/10010] Time 0.317 (0.327) Data 0.001 (0.001) Loss 1.5602 (1.3602) Prec@1 67.188 (68.478) Prec@5 82.812 (86.880) Epoch: [78][5140/10010] Time 0.340 (0.327) Data 0.000 (0.001) Loss 1.2944 (1.3602) Prec@1 67.969 (68.480) Prec@5 88.281 (86.881) Epoch: [78][5150/10010] Time 0.318 (0.327) Data 0.001 (0.001) Loss 1.3995 (1.3602) Prec@1 70.312 (68.479) Prec@5 84.375 (86.881) Epoch: [78][5160/10010] Time 0.338 (0.327) Data 0.000 (0.001) Loss 1.0951 (1.3603) Prec@1 78.125 (68.476) Prec@5 91.406 (86.878) Epoch: [78][5170/10010] Time 0.336 (0.327) Data 0.001 (0.001) Loss 1.3275 (1.3605) Prec@1 66.406 (68.473) Prec@5 87.500 (86.878) Epoch: [78][5180/10010] Time 0.327 (0.327) Data 0.001 (0.001) Loss 1.4982 (1.3604) Prec@1 62.500 (68.471) Prec@5 85.938 (86.879) Epoch: [78][5190/10010] Time 0.340 (0.327) Data 0.001 (0.001) Loss 1.0370 (1.3604) Prec@1 77.344 (68.472) Prec@5 92.969 (86.879) Epoch: [78][5200/10010] Time 0.321 (0.327) Data 0.001 (0.001) Loss 1.6000 (1.3604) Prec@1 67.969 (68.474) Prec@5 83.594 (86.878) Epoch: [78][5210/10010] Time 0.335 (0.327) Data 0.000 (0.001) Loss 1.2983 (1.3603) Prec@1 67.969 (68.474) Prec@5 86.719 (86.878) Epoch: [78][5220/10010] Time 0.338 (0.327) Data 0.001 (0.001) Loss 1.3199 (1.3602) Prec@1 68.750 (68.477) Prec@5 85.938 (86.880) Epoch: [78][5230/10010] Time 0.334 (0.327) Data 0.001 (0.001) Loss 1.0664 (1.3601) Prec@1 75.000 (68.480) Prec@5 89.062 (86.882) Epoch: [78][5240/10010] Time 0.331 (0.327) Data 0.000 (0.001) Loss 1.2539 (1.3601) Prec@1 72.656 (68.478) Prec@5 89.062 (86.883) Epoch: [78][5250/10010] Time 0.330 (0.327) Data 0.000 (0.001) Loss 1.4431 (1.3600) Prec@1 70.312 (68.482) Prec@5 85.156 (86.884) Epoch: [78][5260/10010] Time 0.322 (0.327) Data 0.001 (0.001) Loss 1.3833 (1.3600) Prec@1 67.969 (68.480) Prec@5 85.156 (86.883) Epoch: [78][5270/10010] Time 0.336 (0.327) Data 0.001 (0.001) Loss 1.4582 (1.3599) Prec@1 66.406 (68.481) Prec@5 84.375 (86.885) Epoch: [78][5280/10010] Time 0.334 (0.327) Data 0.001 (0.001) Loss 1.4512 (1.3599) Prec@1 70.312 (68.481) Prec@5 87.500 (86.887) Epoch: [78][5290/10010] Time 0.334 (0.327) Data 0.001 (0.001) Loss 1.3235 (1.3599) Prec@1 72.656 (68.480) Prec@5 88.281 (86.888) Epoch: [78][5300/10010] Time 0.326 (0.327) Data 0.000 (0.001) Loss 1.2803 (1.3599) Prec@1 71.875 (68.479) Prec@5 87.500 (86.888) Epoch: [78][5310/10010] Time 0.332 (0.327) Data 0.000 (0.001) Loss 1.2550 (1.3600) Prec@1 69.531 (68.479) Prec@5 86.719 (86.886) Epoch: [78][5320/10010] Time 0.317 (0.327) Data 0.001 (0.001) Loss 1.1409 (1.3598) Prec@1 75.000 (68.484) Prec@5 89.062 (86.886) Epoch: [78][5330/10010] Time 0.331 (0.327) Data 0.001 (0.001) Loss 1.3214 (1.3599) Prec@1 67.188 (68.481) Prec@5 88.281 (86.884) Epoch: [78][5340/10010] Time 0.341 (0.327) Data 0.001 (0.001) Loss 1.3411 (1.3598) Prec@1 67.188 (68.485) Prec@5 89.844 (86.888) Epoch: [78][5350/10010] Time 0.321 (0.327) Data 0.000 (0.001) Loss 1.4252 (1.3598) Prec@1 64.844 (68.484) Prec@5 85.938 (86.888) Epoch: [78][5360/10010] Time 0.336 (0.327) Data 0.001 (0.001) Loss 1.4209 (1.3598) Prec@1 67.969 (68.481) Prec@5 86.719 (86.887) Epoch: [78][5370/10010] Time 0.325 (0.327) Data 0.001 (0.001) Loss 1.3690 (1.3599) Prec@1 64.844 (68.480) Prec@5 89.844 (86.888) Epoch: [78][5380/10010] Time 0.322 (0.327) Data 0.000 (0.001) Loss 1.6021 (1.3599) Prec@1 66.406 (68.479) Prec@5 85.938 (86.888) Epoch: [78][5390/10010] Time 0.333 (0.327) Data 0.001 (0.001) Loss 1.1900 (1.3599) Prec@1 73.438 (68.478) Prec@5 86.719 (86.886) Epoch: [78][5400/10010] Time 0.324 (0.327) Data 0.001 (0.001) Loss 1.1529 (1.3598) Prec@1 71.875 (68.480) Prec@5 89.844 (86.888) Epoch: [78][5410/10010] Time 0.320 (0.327) Data 0.001 (0.001) Loss 1.2867 (1.3598) Prec@1 71.875 (68.481) Prec@5 91.406 (86.890) Epoch: [78][5420/10010] Time 0.341 (0.327) Data 0.001 (0.001) Loss 1.4495 (1.3598) Prec@1 67.188 (68.479) Prec@5 88.281 (86.894) Epoch: [78][5430/10010] Time 0.338 (0.327) Data 0.000 (0.001) Loss 1.3754 (1.3597) Prec@1 67.188 (68.481) Prec@5 88.281 (86.895) Epoch: [78][5440/10010] Time 0.316 (0.327) Data 0.001 (0.001) Loss 1.4117 (1.3597) Prec@1 71.875 (68.481) Prec@5 84.375 (86.895) Epoch: [78][5450/10010] Time 0.339 (0.327) Data 0.001 (0.001) Loss 1.2179 (1.3598) Prec@1 72.656 (68.481) Prec@5 86.719 (86.896) Epoch: [78][5460/10010] Time 0.321 (0.327) Data 0.000 (0.001) Loss 1.3334 (1.3598) Prec@1 65.625 (68.480) Prec@5 89.844 (86.895) Epoch: [78][5470/10010] Time 0.313 (0.327) Data 0.001 (0.001) Loss 1.3293 (1.3597) Prec@1 66.406 (68.482) Prec@5 84.375 (86.898) Epoch: [78][5480/10010] Time 0.321 (0.327) Data 0.001 (0.001) Loss 1.7502 (1.3598) Prec@1 61.719 (68.480) Prec@5 79.688 (86.897) Epoch: [78][5490/10010] Time 0.324 (0.327) Data 0.000 (0.001) Loss 1.4890 (1.3597) Prec@1 66.406 (68.485) Prec@5 85.156 (86.899) Epoch: [78][5500/10010] Time 0.337 (0.327) Data 0.001 (0.001) Loss 1.6484 (1.3598) Prec@1 58.594 (68.481) Prec@5 82.812 (86.897) Epoch: [78][5510/10010] Time 0.336 (0.327) Data 0.000 (0.001) Loss 1.2136 (1.3596) Prec@1 68.750 (68.484) Prec@5 91.406 (86.900) Epoch: [78][5520/10010] Time 0.323 (0.327) Data 0.001 (0.001) Loss 1.5123 (1.3596) Prec@1 64.844 (68.484) Prec@5 85.938 (86.899) Epoch: [78][5530/10010] Time 0.333 (0.327) Data 0.001 (0.001) Loss 1.2705 (1.3596) Prec@1 67.969 (68.484) Prec@5 85.938 (86.899) Epoch: [78][5540/10010] Time 0.322 (0.327) Data 0.001 (0.001) Loss 1.3681 (1.3596) Prec@1 67.188 (68.484) Prec@5 86.719 (86.898) Epoch: [78][5550/10010] Time 0.314 (0.327) Data 0.000 (0.001) Loss 1.4287 (1.3598) Prec@1 71.094 (68.481) Prec@5 83.594 (86.894) Epoch: [78][5560/10010] Time 0.334 (0.327) Data 0.001 (0.001) Loss 1.0174 (1.3595) Prec@1 74.219 (68.486) Prec@5 89.062 (86.895) Epoch: [78][5570/10010] Time 0.320 (0.327) Data 0.001 (0.001) Loss 1.2768 (1.3596) Prec@1 66.406 (68.484) Prec@5 90.625 (86.892) Epoch: [78][5580/10010] Time 0.320 (0.327) Data 0.001 (0.001) Loss 1.2228 (1.3596) Prec@1 70.312 (68.483) Prec@5 85.938 (86.892) Epoch: [78][5590/10010] Time 0.335 (0.327) Data 0.000 (0.001) Loss 1.1431 (1.3596) Prec@1 69.531 (68.482) Prec@5 92.188 (86.892) Epoch: [78][5600/10010] Time 0.317 (0.327) Data 0.000 (0.001) Loss 1.1255 (1.3595) Prec@1 71.875 (68.481) Prec@5 90.625 (86.892) Epoch: [78][5610/10010] Time 0.341 (0.327) Data 0.000 (0.001) Loss 1.4039 (1.3596) Prec@1 63.281 (68.478) Prec@5 86.719 (86.891) Epoch: [78][5620/10010] Time 0.320 (0.327) Data 0.001 (0.001) Loss 1.1574 (1.3596) Prec@1 69.531 (68.476) Prec@5 89.062 (86.890) Epoch: [78][5630/10010] Time 0.333 (0.327) Data 0.000 (0.001) Loss 1.5098 (1.3596) Prec@1 65.625 (68.476) Prec@5 83.594 (86.891) Epoch: [78][5640/10010] Time 0.331 (0.327) Data 0.001 (0.001) Loss 1.2437 (1.3596) Prec@1 72.656 (68.475) Prec@5 86.719 (86.890) Epoch: [78][5650/10010] Time 0.323 (0.327) Data 0.001 (0.001) Loss 1.3514 (1.3597) Prec@1 67.969 (68.470) Prec@5 89.844 (86.890) Epoch: [78][5660/10010] Time 0.334 (0.327) Data 0.000 (0.001) Loss 1.4131 (1.3595) Prec@1 67.188 (68.473) Prec@5 85.156 (86.892) Epoch: [78][5670/10010] Time 0.341 (0.327) Data 0.001 (0.001) Loss 1.3591 (1.3596) Prec@1 71.094 (68.474) Prec@5 85.156 (86.892) Epoch: [78][5680/10010] Time 0.325 (0.327) Data 0.000 (0.001) Loss 1.3093 (1.3596) Prec@1 65.625 (68.471) Prec@5 85.938 (86.892) Epoch: [78][5690/10010] Time 0.338 (0.327) Data 0.001 (0.001) Loss 1.3809 (1.3596) Prec@1 67.188 (68.471) Prec@5 82.812 (86.892) Epoch: [78][5700/10010] Time 0.327 (0.327) Data 0.000 (0.001) Loss 1.3166 (1.3595) Prec@1 65.625 (68.471) Prec@5 87.500 (86.895) Epoch: [78][5710/10010] Time 0.319 (0.327) Data 0.000 (0.001) Loss 1.4901 (1.3593) Prec@1 64.844 (68.472) Prec@5 83.594 (86.893) Epoch: [78][5720/10010] Time 0.316 (0.327) Data 0.001 (0.001) Loss 1.2571 (1.3592) Prec@1 69.531 (68.476) Prec@5 87.500 (86.895) Epoch: [78][5730/10010] Time 0.337 (0.327) Data 0.001 (0.001) Loss 1.1075 (1.3592) Prec@1 73.438 (68.476) Prec@5 90.625 (86.896) Epoch: [78][5740/10010] Time 0.339 (0.327) Data 0.001 (0.001) Loss 1.2463 (1.3592) Prec@1 75.000 (68.477) Prec@5 87.500 (86.898) Epoch: [78][5750/10010] Time 0.328 (0.327) Data 0.000 (0.001) Loss 1.6174 (1.3592) Prec@1 66.406 (68.475) Prec@5 82.812 (86.898) Epoch: [78][5760/10010] Time 0.321 (0.327) Data 0.001 (0.001) Loss 1.4142 (1.3593) Prec@1 59.375 (68.471) Prec@5 89.062 (86.897) Epoch: [78][5770/10010] Time 0.340 (0.327) Data 0.001 (0.001) Loss 1.2662 (1.3593) Prec@1 67.969 (68.470) Prec@5 89.844 (86.896) Epoch: [78][5780/10010] Time 0.314 (0.327) Data 0.001 (0.001) Loss 1.1036 (1.3593) Prec@1 73.438 (68.471) Prec@5 89.062 (86.894) Epoch: [78][5790/10010] Time 0.321 (0.327) Data 0.000 (0.001) Loss 1.6877 (1.3595) Prec@1 63.281 (68.469) Prec@5 85.938 (86.893) Epoch: [78][5800/10010] Time 0.319 (0.327) Data 0.001 (0.001) Loss 1.3171 (1.3595) Prec@1 71.875 (68.465) Prec@5 87.500 (86.893) Epoch: [78][5810/10010] Time 0.336 (0.327) Data 0.001 (0.001) Loss 1.1531 (1.3595) Prec@1 73.438 (68.466) Prec@5 89.062 (86.893) Epoch: [78][5820/10010] Time 0.337 (0.327) Data 0.001 (0.001) Loss 1.1332 (1.3594) Prec@1 76.562 (68.471) Prec@5 91.406 (86.896) Epoch: [78][5830/10010] Time 0.325 (0.327) Data 0.001 (0.001) Loss 1.7057 (1.3594) Prec@1 67.188 (68.472) Prec@5 82.031 (86.896) Epoch: [78][5840/10010] Time 0.322 (0.327) Data 0.001 (0.001) Loss 1.4497 (1.3596) Prec@1 64.062 (68.467) Prec@5 87.500 (86.893) Epoch: [78][5850/10010] Time 0.343 (0.327) Data 0.001 (0.001) Loss 1.4137 (1.3596) Prec@1 64.844 (68.467) Prec@5 85.156 (86.891) Epoch: [78][5860/10010] Time 0.318 (0.327) Data 0.000 (0.001) Loss 1.2096 (1.3594) Prec@1 66.406 (68.470) Prec@5 89.062 (86.892) Epoch: [78][5870/10010] Time 0.343 (0.327) Data 0.000 (0.001) Loss 1.3589 (1.3594) Prec@1 67.969 (68.473) Prec@5 83.594 (86.892) Epoch: [78][5880/10010] Time 0.340 (0.327) Data 0.001 (0.001) Loss 1.3562 (1.3593) Prec@1 64.844 (68.471) Prec@5 84.375 (86.893) Epoch: [78][5890/10010] Time 0.340 (0.327) Data 0.001 (0.001) Loss 1.3020 (1.3593) Prec@1 73.438 (68.473) Prec@5 88.281 (86.894) Epoch: [78][5900/10010] Time 0.317 (0.327) Data 0.001 (0.001) Loss 1.3815 (1.3592) Prec@1 70.312 (68.476) Prec@5 85.156 (86.896) Epoch: [78][5910/10010] Time 0.339 (0.327) Data 0.000 (0.001) Loss 1.3176 (1.3591) Prec@1 67.969 (68.477) Prec@5 87.500 (86.898) Epoch: [78][5920/10010] Time 0.317 (0.327) Data 0.001 (0.001) Loss 1.3956 (1.3592) Prec@1 68.750 (68.474) Prec@5 85.938 (86.899) Epoch: [78][5930/10010] Time 0.342 (0.327) Data 0.001 (0.001) Loss 1.5608 (1.3594) Prec@1 67.188 (68.471) Prec@5 83.594 (86.896) Epoch: [78][5940/10010] Time 0.317 (0.327) Data 0.001 (0.001) Loss 1.4600 (1.3595) Prec@1 67.188 (68.469) Prec@5 84.375 (86.896) Epoch: [78][5950/10010] Time 0.342 (0.327) Data 0.001 (0.001) Loss 1.1270 (1.3594) Prec@1 68.750 (68.470) Prec@5 92.188 (86.898) Epoch: [78][5960/10010] Time 0.333 (0.327) Data 0.001 (0.001) Loss 1.3547 (1.3593) Prec@1 68.750 (68.473) Prec@5 87.500 (86.899) Epoch: [78][5970/10010] Time 0.317 (0.327) Data 0.001 (0.001) Loss 1.4308 (1.3593) Prec@1 65.625 (68.472) Prec@5 85.156 (86.898) Epoch: [78][5980/10010] Time 0.322 (0.327) Data 0.001 (0.001) Loss 1.3951 (1.3593) Prec@1 73.438 (68.472) Prec@5 87.500 (86.898) Epoch: [78][5990/10010] Time 0.330 (0.327) Data 0.001 (0.001) Loss 1.4492 (1.3593) Prec@1 63.281 (68.472) Prec@5 89.844 (86.899) Epoch: [78][6000/10010] Time 0.320 (0.327) Data 0.001 (0.001) Loss 1.2302 (1.3592) Prec@1 71.094 (68.475) Prec@5 86.719 (86.898) Epoch: [78][6010/10010] Time 0.338 (0.327) Data 0.001 (0.001) Loss 1.1736 (1.3593) Prec@1 72.656 (68.473) Prec@5 91.406 (86.899) Epoch: [78][6020/10010] Time 0.336 (0.327) Data 0.001 (0.001) Loss 1.4918 (1.3593) Prec@1 67.188 (68.472) Prec@5 87.500 (86.896) Epoch: [78][6030/10010] Time 0.331 (0.327) Data 0.000 (0.001) Loss 1.3438 (1.3593) Prec@1 71.094 (68.472) Prec@5 85.938 (86.896) Epoch: [78][6040/10010] Time 0.312 (0.327) Data 0.000 (0.001) Loss 1.5761 (1.3593) Prec@1 65.625 (68.473) Prec@5 84.375 (86.896) Epoch: [78][6050/10010] Time 0.331 (0.327) Data 0.001 (0.001) Loss 1.3300 (1.3593) Prec@1 69.531 (68.475) Prec@5 85.156 (86.894) Epoch: [78][6060/10010] Time 0.323 (0.327) Data 0.001 (0.001) Loss 1.6066 (1.3594) Prec@1 65.625 (68.473) Prec@5 82.031 (86.894) Epoch: [78][6070/10010] Time 0.322 (0.327) Data 0.001 (0.001) Loss 1.5569 (1.3595) Prec@1 63.281 (68.470) Prec@5 85.938 (86.893) Epoch: [78][6080/10010] Time 0.334 (0.327) Data 0.001 (0.001) Loss 1.1222 (1.3595) Prec@1 75.781 (68.471) Prec@5 89.844 (86.893) Epoch: [78][6090/10010] Time 0.324 (0.327) Data 0.001 (0.001) Loss 1.4552 (1.3595) Prec@1 71.875 (68.472) Prec@5 82.812 (86.893) Epoch: [78][6100/10010] Time 0.333 (0.327) Data 0.001 (0.001) Loss 1.1294 (1.3596) Prec@1 72.656 (68.470) Prec@5 92.188 (86.893) Epoch: [78][6110/10010] Time 0.333 (0.327) Data 0.001 (0.001) Loss 1.4351 (1.3596) Prec@1 64.062 (68.471) Prec@5 84.375 (86.891) Epoch: [78][6120/10010] Time 0.319 (0.327) Data 0.001 (0.001) Loss 1.6320 (1.3596) Prec@1 59.375 (68.469) Prec@5 80.469 (86.891) Epoch: [78][6130/10010] Time 0.333 (0.327) Data 0.001 (0.001) Loss 1.2372 (1.3596) Prec@1 72.656 (68.468) Prec@5 89.062 (86.892) Epoch: [78][6140/10010] Time 0.338 (0.327) Data 0.000 (0.001) Loss 1.1971 (1.3596) Prec@1 71.094 (68.467) Prec@5 90.625 (86.892) Epoch: [78][6150/10010] Time 0.337 (0.327) Data 0.000 (0.001) Loss 1.2010 (1.3594) Prec@1 70.312 (68.468) Prec@5 90.625 (86.893) Epoch: [78][6160/10010] Time 0.331 (0.327) Data 0.001 (0.001) Loss 1.0920 (1.3593) Prec@1 73.438 (68.469) Prec@5 92.969 (86.895) Epoch: [78][6170/10010] Time 0.342 (0.327) Data 0.001 (0.001) Loss 1.6065 (1.3592) Prec@1 64.844 (68.470) Prec@5 82.812 (86.896) Epoch: [78][6180/10010] Time 0.310 (0.327) Data 0.000 (0.001) Loss 1.2597 (1.3590) Prec@1 69.531 (68.474) Prec@5 85.156 (86.898) Epoch: [78][6190/10010] Time 0.338 (0.327) Data 0.001 (0.001) Loss 1.1457 (1.3591) Prec@1 73.438 (68.474) Prec@5 89.844 (86.898) Epoch: [78][6200/10010] Time 0.320 (0.327) Data 0.001 (0.001) Loss 1.4583 (1.3591) Prec@1 68.750 (68.473) Prec@5 86.719 (86.899) Epoch: [78][6210/10010] Time 0.329 (0.327) Data 0.001 (0.001) Loss 1.3727 (1.3592) Prec@1 65.625 (68.472) Prec@5 86.719 (86.897) Epoch: [78][6220/10010] Time 0.330 (0.327) Data 0.000 (0.001) Loss 1.4505 (1.3593) Prec@1 61.719 (68.472) Prec@5 85.156 (86.895) Epoch: [78][6230/10010] Time 0.341 (0.327) Data 0.001 (0.001) Loss 1.1290 (1.3592) Prec@1 75.781 (68.473) Prec@5 88.281 (86.895) Epoch: [78][6240/10010] Time 0.344 (0.327) Data 0.001 (0.001) Loss 1.1589 (1.3592) Prec@1 67.188 (68.472) Prec@5 92.188 (86.895) Epoch: [78][6250/10010] Time 0.343 (0.327) Data 0.000 (0.001) Loss 1.5700 (1.3593) Prec@1 64.062 (68.470) Prec@5 81.250 (86.894) Epoch: [78][6260/10010] Time 0.314 (0.327) Data 0.001 (0.001) Loss 1.3935 (1.3593) Prec@1 67.969 (68.469) Prec@5 87.500 (86.894) Epoch: [78][6270/10010] Time 0.339 (0.327) Data 0.001 (0.001) Loss 1.4433 (1.3594) Prec@1 71.094 (68.468) Prec@5 85.938 (86.893) Epoch: [78][6280/10010] Time 0.342 (0.327) Data 0.001 (0.001) Loss 1.4430 (1.3594) Prec@1 70.312 (68.466) Prec@5 82.812 (86.892) Epoch: [78][6290/10010] Time 0.317 (0.327) Data 0.001 (0.001) Loss 1.4286 (1.3594) Prec@1 69.531 (68.466) Prec@5 85.938 (86.891) Epoch: [78][6300/10010] Time 0.342 (0.327) Data 0.001 (0.001) Loss 1.5477 (1.3596) Prec@1 62.500 (68.463) Prec@5 84.375 (86.889) Epoch: [78][6310/10010] Time 0.334 (0.327) Data 0.001 (0.001) Loss 1.0993 (1.3595) Prec@1 79.688 (68.467) Prec@5 90.625 (86.890) Epoch: [78][6320/10010] Time 0.336 (0.327) Data 0.001 (0.001) Loss 1.2504 (1.3593) Prec@1 66.406 (68.470) Prec@5 93.750 (86.893) Epoch: [78][6330/10010] Time 0.314 (0.327) Data 0.001 (0.001) Loss 1.3356 (1.3593) Prec@1 70.312 (68.471) Prec@5 87.500 (86.893) Epoch: [78][6340/10010] Time 0.342 (0.327) Data 0.000 (0.001) Loss 1.2278 (1.3591) Prec@1 74.219 (68.475) Prec@5 90.625 (86.897) Epoch: [78][6350/10010] Time 0.338 (0.327) Data 0.001 (0.001) Loss 1.2125 (1.3590) Prec@1 66.406 (68.474) Prec@5 91.406 (86.899) Epoch: [78][6360/10010] Time 0.337 (0.327) Data 0.001 (0.001) Loss 1.3563 (1.3589) Prec@1 69.531 (68.477) Prec@5 88.281 (86.901) Epoch: [78][6370/10010] Time 0.318 (0.327) Data 0.001 (0.001) Loss 1.3754 (1.3589) Prec@1 67.188 (68.474) Prec@5 85.156 (86.902) Epoch: [78][6380/10010] Time 0.328 (0.327) Data 0.001 (0.001) Loss 1.4265 (1.3588) Prec@1 67.188 (68.476) Prec@5 87.500 (86.904) Epoch: [78][6390/10010] Time 0.330 (0.327) Data 0.001 (0.001) Loss 1.0118 (1.3588) Prec@1 78.125 (68.478) Prec@5 92.188 (86.906) Epoch: [78][6400/10010] Time 0.337 (0.327) Data 0.001 (0.001) Loss 1.3162 (1.3588) Prec@1 70.312 (68.478) Prec@5 88.281 (86.906) Epoch: [78][6410/10010] Time 0.309 (0.327) Data 0.001 (0.001) Loss 1.2019 (1.3588) Prec@1 71.875 (68.475) Prec@5 89.844 (86.907) Epoch: [78][6420/10010] Time 0.330 (0.327) Data 0.000 (0.001) Loss 1.8447 (1.3590) Prec@1 62.500 (68.473) Prec@5 78.125 (86.903) Epoch: [78][6430/10010] Time 0.335 (0.327) Data 0.000 (0.001) Loss 1.4719 (1.3590) Prec@1 63.281 (68.472) Prec@5 84.375 (86.903) Epoch: [78][6440/10010] Time 0.332 (0.327) Data 0.001 (0.001) Loss 1.4028 (1.3590) Prec@1 64.844 (68.472) Prec@5 87.500 (86.903) Epoch: [78][6450/10010] Time 0.339 (0.327) Data 0.001 (0.001) Loss 1.3352 (1.3591) Prec@1 64.844 (68.470) Prec@5 88.281 (86.902) Epoch: [78][6460/10010] Time 0.334 (0.327) Data 0.001 (0.001) Loss 1.3067 (1.3591) Prec@1 72.656 (68.469) Prec@5 88.281 (86.901) Epoch: [78][6470/10010] Time 0.330 (0.327) Data 0.001 (0.001) Loss 1.3473 (1.3591) Prec@1 64.062 (68.468) Prec@5 86.719 (86.900) Epoch: [78][6480/10010] Time 0.335 (0.327) Data 0.001 (0.001) Loss 1.4156 (1.3592) Prec@1 69.531 (68.467) Prec@5 87.500 (86.898) Epoch: [78][6490/10010] Time 0.340 (0.327) Data 0.000 (0.001) Loss 1.4885 (1.3592) Prec@1 67.188 (68.468) Prec@5 87.500 (86.897) Epoch: [78][6500/10010] Time 0.314 (0.327) Data 0.001 (0.001) Loss 1.5937 (1.3593) Prec@1 70.312 (68.466) Prec@5 84.375 (86.896) Epoch: [78][6510/10010] Time 0.334 (0.327) Data 0.000 (0.001) Loss 1.0879 (1.3594) Prec@1 70.312 (68.463) Prec@5 91.406 (86.895) Epoch: [78][6520/10010] Time 0.320 (0.327) Data 0.001 (0.001) Loss 1.3441 (1.3594) Prec@1 71.094 (68.465) Prec@5 86.719 (86.894) Epoch: [78][6530/10010] Time 0.316 (0.327) Data 0.001 (0.001) Loss 1.3774 (1.3595) Prec@1 71.875 (68.464) Prec@5 85.938 (86.893) Epoch: [78][6540/10010] Time 0.337 (0.327) Data 0.001 (0.001) Loss 1.1524 (1.3594) Prec@1 71.094 (68.467) Prec@5 90.625 (86.894) Epoch: [78][6550/10010] Time 0.330 (0.327) Data 0.001 (0.001) Loss 1.5052 (1.3594) Prec@1 59.375 (68.465) Prec@5 83.594 (86.894) Epoch: [78][6560/10010] Time 0.325 (0.327) Data 0.000 (0.001) Loss 1.4543 (1.3595) Prec@1 64.844 (68.464) Prec@5 85.938 (86.893) Epoch: [78][6570/10010] Time 0.317 (0.327) Data 0.001 (0.001) Loss 1.3539 (1.3596) Prec@1 71.094 (68.466) Prec@5 86.719 (86.891) Epoch: [78][6580/10010] Time 0.312 (0.327) Data 0.001 (0.001) Loss 1.3274 (1.3596) Prec@1 67.969 (68.466) Prec@5 90.625 (86.892) Epoch: [78][6590/10010] Time 0.343 (0.327) Data 0.000 (0.001) Loss 1.3226 (1.3596) Prec@1 71.875 (68.465) Prec@5 90.625 (86.892) Epoch: [78][6600/10010] Time 0.318 (0.327) Data 0.001 (0.001) Loss 1.1885 (1.3597) Prec@1 76.562 (68.463) Prec@5 89.062 (86.892) Epoch: [78][6610/10010] Time 0.318 (0.327) Data 0.001 (0.001) Loss 1.2905 (1.3596) Prec@1 65.625 (68.464) Prec@5 87.500 (86.893) Epoch: [78][6620/10010] Time 0.315 (0.327) Data 0.001 (0.001) Loss 1.3628 (1.3596) Prec@1 67.969 (68.464) Prec@5 84.375 (86.892) Epoch: [78][6630/10010] Time 0.316 (0.327) Data 0.000 (0.001) Loss 1.3907 (1.3596) Prec@1 67.188 (68.463) Prec@5 84.375 (86.891) Epoch: [78][6640/10010] Time 0.337 (0.327) Data 0.001 (0.001) Loss 1.4824 (1.3597) Prec@1 68.750 (68.461) Prec@5 88.281 (86.889) Epoch: [78][6650/10010] Time 0.315 (0.327) Data 0.001 (0.001) Loss 1.8748 (1.3597) Prec@1 62.500 (68.462) Prec@5 78.906 (86.887) Epoch: [78][6660/10010] Time 0.328 (0.327) Data 0.001 (0.001) Loss 1.5405 (1.3598) Prec@1 64.062 (68.460) Prec@5 83.594 (86.886) Epoch: [78][6670/10010] Time 0.338 (0.327) Data 0.001 (0.001) Loss 1.5423 (1.3597) Prec@1 70.312 (68.462) Prec@5 85.156 (86.888) Epoch: [78][6680/10010] Time 0.316 (0.327) Data 0.001 (0.001) Loss 1.2332 (1.3597) Prec@1 70.312 (68.461) Prec@5 89.844 (86.889) Epoch: [78][6690/10010] Time 0.341 (0.327) Data 0.000 (0.001) Loss 1.4022 (1.3596) Prec@1 69.531 (68.465) Prec@5 84.375 (86.890) Epoch: [78][6700/10010] Time 0.313 (0.327) Data 0.001 (0.001) Loss 1.2262 (1.3595) Prec@1 69.531 (68.467) Prec@5 88.281 (86.891) Epoch: [78][6710/10010] Time 0.322 (0.327) Data 0.001 (0.001) Loss 1.6573 (1.3596) Prec@1 60.938 (68.463) Prec@5 82.812 (86.889) Epoch: [78][6720/10010] Time 0.329 (0.327) Data 0.001 (0.001) Loss 1.5122 (1.3596) Prec@1 66.406 (68.462) Prec@5 85.938 (86.889) Epoch: [78][6730/10010] Time 0.333 (0.327) Data 0.000 (0.001) Loss 1.3020 (1.3595) Prec@1 71.094 (68.466) Prec@5 85.156 (86.891) Epoch: [78][6740/10010] Time 0.335 (0.327) Data 0.001 (0.001) Loss 1.3255 (1.3595) Prec@1 66.406 (68.467) Prec@5 85.938 (86.891) Epoch: [78][6750/10010] Time 0.334 (0.327) Data 0.000 (0.001) Loss 1.4592 (1.3595) Prec@1 66.406 (68.467) Prec@5 85.938 (86.890) Epoch: [78][6760/10010] Time 0.316 (0.327) Data 0.001 (0.001) Loss 1.4408 (1.3595) Prec@1 69.531 (68.468) Prec@5 83.594 (86.890) Epoch: [78][6770/10010] Time 0.331 (0.327) Data 0.000 (0.001) Loss 1.3082 (1.3595) Prec@1 68.750 (68.465) Prec@5 87.500 (86.889) Epoch: [78][6780/10010] Time 0.320 (0.327) Data 0.001 (0.001) Loss 1.5468 (1.3596) Prec@1 65.625 (68.463) Prec@5 83.594 (86.888) Epoch: [78][6790/10010] Time 0.319 (0.327) Data 0.001 (0.001) Loss 1.4698 (1.3596) Prec@1 69.531 (68.464) Prec@5 88.281 (86.889) Epoch: [78][6800/10010] Time 0.321 (0.327) Data 0.001 (0.001) Loss 1.6699 (1.3597) Prec@1 60.938 (68.461) Prec@5 82.812 (86.887) Epoch: [78][6810/10010] Time 0.316 (0.327) Data 0.001 (0.001) Loss 1.4379 (1.3597) Prec@1 66.406 (68.460) Prec@5 87.500 (86.889) Epoch: [78][6820/10010] Time 0.320 (0.327) Data 0.001 (0.001) Loss 1.5468 (1.3597) Prec@1 60.938 (68.459) Prec@5 84.375 (86.889) Epoch: [78][6830/10010] Time 0.321 (0.327) Data 0.001 (0.001) Loss 1.2297 (1.3596) Prec@1 73.438 (68.462) Prec@5 88.281 (86.890) Epoch: [78][6840/10010] Time 0.314 (0.327) Data 0.001 (0.001) Loss 1.0940 (1.3597) Prec@1 77.344 (68.462) Prec@5 92.188 (86.890) Epoch: [78][6850/10010] Time 0.333 (0.327) Data 0.000 (0.001) Loss 1.3228 (1.3598) Prec@1 67.188 (68.462) Prec@5 88.281 (86.890) Epoch: [78][6860/10010] Time 0.317 (0.327) Data 0.001 (0.001) Loss 1.3294 (1.3599) Prec@1 66.406 (68.464) Prec@5 88.281 (86.888) Epoch: [78][6870/10010] Time 0.320 (0.327) Data 0.001 (0.001) Loss 1.3333 (1.3599) Prec@1 65.625 (68.463) Prec@5 87.500 (86.889) Epoch: [78][6880/10010] Time 0.318 (0.327) Data 0.001 (0.001) Loss 1.1097 (1.3599) Prec@1 72.656 (68.461) Prec@5 90.625 (86.890) Epoch: [78][6890/10010] Time 0.317 (0.327) Data 0.001 (0.001) Loss 1.3384 (1.3600) Prec@1 74.219 (68.459) Prec@5 86.719 (86.888) Epoch: [78][6900/10010] Time 0.325 (0.327) Data 0.000 (0.001) Loss 1.5789 (1.3600) Prec@1 64.062 (68.458) Prec@5 82.812 (86.889) Epoch: [78][6910/10010] Time 0.341 (0.327) Data 0.001 (0.001) Loss 1.2160 (1.3601) Prec@1 68.750 (68.459) Prec@5 89.844 (86.888) Epoch: [78][6920/10010] Time 0.315 (0.327) Data 0.000 (0.001) Loss 1.0980 (1.3600) Prec@1 75.781 (68.462) Prec@5 92.188 (86.890) Epoch: [78][6930/10010] Time 0.325 (0.327) Data 0.001 (0.001) Loss 1.0744 (1.3599) Prec@1 75.000 (68.466) Prec@5 90.625 (86.892) Epoch: [78][6940/10010] Time 0.313 (0.327) Data 0.001 (0.001) Loss 1.1972 (1.3599) Prec@1 71.875 (68.467) Prec@5 89.844 (86.890) Epoch: [78][6950/10010] Time 0.334 (0.327) Data 0.001 (0.001) Loss 1.3216 (1.3601) Prec@1 67.188 (68.462) Prec@5 86.719 (86.887) Epoch: [78][6960/10010] Time 0.321 (0.327) Data 0.000 (0.001) Loss 1.2085 (1.3601) Prec@1 71.875 (68.461) Prec@5 92.188 (86.889) Epoch: [78][6970/10010] Time 0.318 (0.327) Data 0.001 (0.001) Loss 1.4297 (1.3602) Prec@1 66.406 (68.458) Prec@5 84.375 (86.888) Epoch: [78][6980/10010] Time 0.322 (0.327) Data 0.001 (0.001) Loss 1.2307 (1.3602) Prec@1 64.062 (68.455) Prec@5 87.500 (86.887) Epoch: [78][6990/10010] Time 0.320 (0.327) Data 0.001 (0.001) Loss 1.1341 (1.3602) Prec@1 75.000 (68.457) Prec@5 90.625 (86.887) Epoch: [78][7000/10010] Time 0.325 (0.327) Data 0.001 (0.001) Loss 1.3598 (1.3602) Prec@1 67.969 (68.456) Prec@5 89.062 (86.887) Epoch: [78][7010/10010] Time 0.319 (0.327) Data 0.001 (0.001) Loss 1.3944 (1.3601) Prec@1 66.406 (68.458) Prec@5 87.500 (86.889) Epoch: [78][7020/10010] Time 0.324 (0.327) Data 0.000 (0.001) Loss 1.0864 (1.3601) Prec@1 74.219 (68.458) Prec@5 92.969 (86.889) Epoch: [78][7030/10010] Time 0.325 (0.327) Data 0.001 (0.001) Loss 1.1923 (1.3600) Prec@1 67.969 (68.460) Prec@5 89.844 (86.892) Epoch: [78][7040/10010] Time 0.322 (0.327) Data 0.001 (0.001) Loss 1.3168 (1.3600) Prec@1 73.438 (68.460) Prec@5 85.938 (86.893) Epoch: [78][7050/10010] Time 0.334 (0.327) Data 0.000 (0.001) Loss 1.3811 (1.3600) Prec@1 70.312 (68.459) Prec@5 87.500 (86.891) Epoch: [78][7060/10010] Time 0.333 (0.327) Data 0.001 (0.001) Loss 1.1397 (1.3600) Prec@1 75.000 (68.459) Prec@5 92.188 (86.892) Epoch: [78][7070/10010] Time 0.341 (0.327) Data 0.000 (0.001) Loss 1.2831 (1.3600) Prec@1 72.656 (68.461) Prec@5 88.281 (86.891) Epoch: [78][7080/10010] Time 0.321 (0.327) Data 0.000 (0.001) Loss 1.6428 (1.3602) Prec@1 64.062 (68.456) Prec@5 82.031 (86.889) Epoch: [78][7090/10010] Time 0.331 (0.327) Data 0.001 (0.001) Loss 1.4015 (1.3601) Prec@1 65.625 (68.457) Prec@5 84.375 (86.890) Epoch: [78][7100/10010] Time 0.338 (0.327) Data 0.001 (0.001) Loss 1.2143 (1.3600) Prec@1 68.750 (68.456) Prec@5 86.719 (86.890) Epoch: [78][7110/10010] Time 0.317 (0.327) Data 0.000 (0.001) Loss 1.2111 (1.3600) Prec@1 71.875 (68.456) Prec@5 91.406 (86.890) Epoch: [78][7120/10010] Time 0.341 (0.327) Data 0.000 (0.001) Loss 1.5383 (1.3600) Prec@1 67.188 (68.455) Prec@5 84.375 (86.889) Epoch: [78][7130/10010] Time 0.327 (0.327) Data 0.001 (0.001) Loss 1.4011 (1.3600) Prec@1 65.625 (68.457) Prec@5 87.500 (86.888) Epoch: [78][7140/10010] Time 0.320 (0.327) Data 0.001 (0.001) Loss 1.4143 (1.3601) Prec@1 65.625 (68.455) Prec@5 87.500 (86.887) Epoch: [78][7150/10010] Time 0.319 (0.327) Data 0.001 (0.001) Loss 1.4228 (1.3602) Prec@1 64.844 (68.450) Prec@5 84.375 (86.884) Epoch: [78][7160/10010] Time 0.314 (0.327) Data 0.001 (0.001) Loss 1.5333 (1.3603) Prec@1 61.719 (68.447) Prec@5 85.156 (86.883) Epoch: [78][7170/10010] Time 0.334 (0.327) Data 0.000 (0.001) Loss 1.3734 (1.3605) Prec@1 66.406 (68.442) Prec@5 86.719 (86.882) Epoch: [78][7180/10010] Time 0.336 (0.327) Data 0.000 (0.001) Loss 1.3354 (1.3606) Prec@1 71.094 (68.440) Prec@5 87.500 (86.881) Epoch: [78][7190/10010] Time 0.339 (0.327) Data 0.001 (0.001) Loss 1.4282 (1.3606) Prec@1 65.625 (68.440) Prec@5 84.375 (86.880) Epoch: [78][7200/10010] Time 0.323 (0.327) Data 0.001 (0.001) Loss 1.1762 (1.3606) Prec@1 70.312 (68.440) Prec@5 89.062 (86.881) Epoch: [78][7210/10010] Time 0.340 (0.327) Data 0.000 (0.001) Loss 1.2223 (1.3607) Prec@1 75.781 (68.439) Prec@5 88.281 (86.880) Epoch: [78][7220/10010] Time 0.326 (0.327) Data 0.001 (0.001) Loss 1.0874 (1.3606) Prec@1 76.562 (68.442) Prec@5 89.844 (86.882) Epoch: [78][7230/10010] Time 0.314 (0.327) Data 0.000 (0.001) Loss 1.3579 (1.3606) Prec@1 71.094 (68.443) Prec@5 86.719 (86.882) Epoch: [78][7240/10010] Time 0.332 (0.327) Data 0.001 (0.001) Loss 1.6780 (1.3606) Prec@1 58.594 (68.442) Prec@5 82.031 (86.882) Epoch: [78][7250/10010] Time 0.327 (0.327) Data 0.001 (0.001) Loss 1.3056 (1.3606) Prec@1 72.656 (68.442) Prec@5 87.500 (86.882) Epoch: [78][7260/10010] Time 0.314 (0.327) Data 0.001 (0.001) Loss 1.3261 (1.3606) Prec@1 71.094 (68.440) Prec@5 87.500 (86.882) Epoch: [78][7270/10010] Time 0.320 (0.327) Data 0.001 (0.001) Loss 1.0579 (1.3606) Prec@1 72.656 (68.442) Prec@5 92.188 (86.883) Epoch: [78][7280/10010] Time 0.333 (0.327) Data 0.001 (0.001) Loss 1.2935 (1.3606) Prec@1 66.406 (68.441) Prec@5 85.938 (86.883) Epoch: [78][7290/10010] Time 0.317 (0.327) Data 0.001 (0.001) Loss 1.2890 (1.3605) Prec@1 71.094 (68.445) Prec@5 89.844 (86.884) Epoch: [78][7300/10010] Time 0.338 (0.327) Data 0.001 (0.001) Loss 1.2532 (1.3605) Prec@1 72.656 (68.447) Prec@5 86.719 (86.886) Epoch: [78][7310/10010] Time 0.310 (0.327) Data 0.001 (0.001) Loss 1.2638 (1.3604) Prec@1 69.531 (68.447) Prec@5 87.500 (86.886) Epoch: [78][7320/10010] Time 0.315 (0.327) Data 0.001 (0.001) Loss 1.2710 (1.3605) Prec@1 64.062 (68.445) Prec@5 89.062 (86.885) Epoch: [78][7330/10010] Time 0.338 (0.327) Data 0.001 (0.001) Loss 1.0313 (1.3605) Prec@1 71.094 (68.444) Prec@5 92.188 (86.885) Epoch: [78][7340/10010] Time 0.322 (0.327) Data 0.001 (0.001) Loss 1.2367 (1.3604) Prec@1 72.656 (68.445) Prec@5 90.625 (86.887) Epoch: [78][7350/10010] Time 0.330 (0.327) Data 0.001 (0.001) Loss 1.4790 (1.3604) Prec@1 67.969 (68.444) Prec@5 82.812 (86.888) Epoch: [78][7360/10010] Time 0.327 (0.327) Data 0.001 (0.001) Loss 1.5729 (1.3605) Prec@1 66.406 (68.443) Prec@5 84.375 (86.885) Epoch: [78][7370/10010] Time 0.320 (0.327) Data 0.001 (0.001) Loss 1.1810 (1.3604) Prec@1 71.094 (68.443) Prec@5 89.062 (86.886) Epoch: [78][7380/10010] Time 0.328 (0.327) Data 0.000 (0.001) Loss 1.2802 (1.3604) Prec@1 72.656 (68.444) Prec@5 89.062 (86.885) Epoch: [78][7390/10010] Time 0.322 (0.327) Data 0.000 (0.001) Loss 1.1956 (1.3603) Prec@1 66.406 (68.444) Prec@5 87.500 (86.886) Epoch: [78][7400/10010] Time 0.333 (0.327) Data 0.001 (0.001) Loss 1.3375 (1.3604) Prec@1 70.312 (68.445) Prec@5 87.500 (86.885) Epoch: [78][7410/10010] Time 0.319 (0.327) Data 0.000 (0.001) Loss 1.6558 (1.3604) Prec@1 57.031 (68.445) Prec@5 81.250 (86.884) Epoch: [78][7420/10010] Time 0.321 (0.327) Data 0.001 (0.001) Loss 1.8651 (1.3605) Prec@1 59.375 (68.443) Prec@5 77.344 (86.882) Epoch: [78][7430/10010] Time 0.331 (0.327) Data 0.001 (0.001) Loss 1.3860 (1.3604) Prec@1 64.844 (68.443) Prec@5 88.281 (86.884) Epoch: [78][7440/10010] Time 0.341 (0.327) Data 0.001 (0.001) Loss 1.2628 (1.3604) Prec@1 71.094 (68.443) Prec@5 89.062 (86.885) Epoch: [78][7450/10010] Time 0.332 (0.327) Data 0.001 (0.001) Loss 1.1370 (1.3604) Prec@1 75.000 (68.441) Prec@5 90.625 (86.885) Epoch: [78][7460/10010] Time 0.338 (0.327) Data 0.001 (0.001) Loss 1.2771 (1.3605) Prec@1 64.844 (68.439) Prec@5 87.500 (86.885) Epoch: [78][7470/10010] Time 0.332 (0.327) Data 0.001 (0.001) Loss 1.4255 (1.3605) Prec@1 65.625 (68.436) Prec@5 85.938 (86.886) Epoch: [78][7480/10010] Time 0.317 (0.327) Data 0.000 (0.001) Loss 1.3070 (1.3606) Prec@1 71.094 (68.434) Prec@5 88.281 (86.885) Epoch: [78][7490/10010] Time 0.339 (0.327) Data 0.001 (0.001) Loss 1.2535 (1.3606) Prec@1 71.094 (68.435) Prec@5 87.500 (86.884) Epoch: [78][7500/10010] Time 0.340 (0.327) Data 0.000 (0.001) Loss 1.3804 (1.3606) Prec@1 69.531 (68.435) Prec@5 87.500 (86.885) Epoch: [78][7510/10010] Time 0.335 (0.327) Data 0.000 (0.001) Loss 1.1984 (1.3606) Prec@1 69.531 (68.435) Prec@5 89.062 (86.886) Epoch: [78][7520/10010] Time 0.322 (0.327) Data 0.000 (0.001) Loss 1.3302 (1.3606) Prec@1 71.094 (68.434) Prec@5 83.594 (86.887) Epoch: [78][7530/10010] Time 0.324 (0.327) Data 0.000 (0.001) Loss 1.3854 (1.3605) Prec@1 67.969 (68.436) Prec@5 88.281 (86.888) Epoch: [78][7540/10010] Time 0.341 (0.327) Data 0.000 (0.001) Loss 1.3713 (1.3604) Prec@1 67.188 (68.437) Prec@5 85.938 (86.890) Epoch: [78][7550/10010] Time 0.336 (0.327) Data 0.000 (0.001) Loss 1.2612 (1.3604) Prec@1 71.094 (68.435) Prec@5 87.500 (86.890) Epoch: [78][7560/10010] Time 0.338 (0.327) Data 0.000 (0.001) Loss 0.9658 (1.3603) Prec@1 81.250 (68.440) Prec@5 92.188 (86.890) Epoch: [78][7570/10010] Time 0.343 (0.327) Data 0.000 (0.001) Loss 1.3394 (1.3603) Prec@1 64.844 (68.442) Prec@5 88.281 (86.891) Epoch: [78][7580/10010] Time 0.320 (0.327) Data 0.001 (0.001) Loss 1.4400 (1.3603) Prec@1 62.500 (68.438) Prec@5 85.156 (86.889) Epoch: [78][7590/10010] Time 0.320 (0.327) Data 0.001 (0.001) Loss 1.6041 (1.3604) Prec@1 64.062 (68.438) Prec@5 81.250 (86.888) Epoch: [78][7600/10010] Time 0.322 (0.327) Data 0.001 (0.001) Loss 1.6465 (1.3605) Prec@1 63.281 (68.435) Prec@5 84.375 (86.886) Epoch: [78][7610/10010] Time 0.318 (0.327) Data 0.001 (0.001) Loss 1.1852 (1.3604) Prec@1 74.219 (68.435) Prec@5 88.281 (86.888) Epoch: [78][7620/10010] Time 0.322 (0.327) Data 0.000 (0.001) Loss 1.3264 (1.3606) Prec@1 64.844 (68.433) Prec@5 85.938 (86.885) Epoch: [78][7630/10010] Time 0.324 (0.327) Data 0.001 (0.001) Loss 1.1813 (1.3606) Prec@1 71.875 (68.434) Prec@5 89.844 (86.883) Epoch: [78][7640/10010] Time 0.307 (0.327) Data 0.001 (0.001) Loss 1.2337 (1.3607) Prec@1 74.219 (68.432) Prec@5 87.500 (86.881) Epoch: [78][7650/10010] Time 0.318 (0.327) Data 0.001 (0.001) Loss 1.5179 (1.3608) Prec@1 65.625 (68.432) Prec@5 85.938 (86.881) Epoch: [78][7660/10010] Time 0.317 (0.327) Data 0.000 (0.001) Loss 1.5376 (1.3607) Prec@1 66.406 (68.434) Prec@5 86.719 (86.882) Epoch: [78][7670/10010] Time 0.321 (0.327) Data 0.001 (0.001) Loss 1.3704 (1.3607) Prec@1 64.062 (68.432) Prec@5 89.844 (86.880) Epoch: [78][7680/10010] Time 0.317 (0.327) Data 0.000 (0.001) Loss 1.3330 (1.3607) Prec@1 70.312 (68.434) Prec@5 86.719 (86.880) Epoch: [78][7690/10010] Time 0.327 (0.327) Data 0.000 (0.001) Loss 1.2641 (1.3607) Prec@1 72.656 (68.433) Prec@5 87.500 (86.881) Epoch: [78][7700/10010] Time 0.320 (0.327) Data 0.001 (0.001) Loss 1.3928 (1.3608) Prec@1 65.625 (68.431) Prec@5 84.375 (86.879) Epoch: [78][7710/10010] Time 0.342 (0.327) Data 0.000 (0.001) Loss 1.3738 (1.3607) Prec@1 71.094 (68.432) Prec@5 81.250 (86.880) Epoch: [78][7720/10010] Time 0.346 (0.327) Data 0.001 (0.001) Loss 1.3921 (1.3607) Prec@1 67.969 (68.432) Prec@5 87.500 (86.880) Epoch: [78][7730/10010] Time 0.333 (0.327) Data 0.001 (0.001) Loss 1.3102 (1.3606) Prec@1 67.188 (68.433) Prec@5 87.500 (86.880) Epoch: [78][7740/10010] Time 0.328 (0.327) Data 0.001 (0.001) Loss 1.5719 (1.3607) Prec@1 62.500 (68.432) Prec@5 82.812 (86.880) /data/vision/torralba/deepscene/lib/anaconda2/lib/python2.7/site-packages/PIL/TiffImagePlugin.py:692: UserWarning: Possibly corrupt EXIF data. Expecting to read 2555904 bytes but only got 0. Skipping tag 0 "Skipping tag %s" % (size, len(data), tag)) Epoch: [78][7750/10010] Time 0.337 (0.327) Data 0.001 (0.001) Loss 1.2588 (1.3607) Prec@1 73.438 (68.431) Prec@5 87.500 (86.879) Epoch: [78][7760/10010] Time 0.316 (0.327) Data 0.001 (0.001) Loss 1.5331 (1.3606) Prec@1 66.406 (68.432) Prec@5 82.031 (86.880) Epoch: [78][7770/10010] Time 0.324 (0.327) Data 0.001 (0.001) Loss 1.0944 (1.3607) Prec@1 75.000 (68.432) Prec@5 92.188 (86.880) Epoch: [78][7780/10010] Time 0.326 (0.327) Data 0.000 (0.001) Loss 1.2677 (1.3606) Prec@1 68.750 (68.432) Prec@5 87.500 (86.882) Epoch: [78][7790/10010] Time 0.330 (0.327) Data 0.001 (0.001) Loss 1.0953 (1.3605) Prec@1 75.781 (68.434) Prec@5 89.844 (86.882) Epoch: [78][7800/10010] Time 0.321 (0.327) Data 0.001 (0.001) Loss 1.4451 (1.3606) Prec@1 71.875 (68.433) Prec@5 85.156 (86.881) Epoch: [78][7810/10010] Time 0.329 (0.327) Data 0.001 (0.001) Loss 1.4540 (1.3605) Prec@1 65.625 (68.434) Prec@5 84.375 (86.883) Epoch: [78][7820/10010] Time 0.325 (0.327) Data 0.000 (0.001) Loss 1.4994 (1.3605) Prec@1 70.312 (68.434) Prec@5 82.812 (86.882) Epoch: [78][7830/10010] Time 0.324 (0.327) Data 0.001 (0.001) Loss 1.3751 (1.3604) Prec@1 65.625 (68.435) Prec@5 83.594 (86.883) Epoch: [78][7840/10010] Time 0.325 (0.327) Data 0.001 (0.001) Loss 1.3951 (1.3605) Prec@1 64.844 (68.433) Prec@5 88.281 (86.881) Epoch: [78][7850/10010] Time 0.320 (0.327) Data 0.001 (0.001) Loss 1.3756 (1.3606) Prec@1 64.844 (68.433) Prec@5 85.156 (86.879) Epoch: [78][7860/10010] Time 0.321 (0.327) Data 0.001 (0.001) Loss 1.4470 (1.3606) Prec@1 67.969 (68.432) Prec@5 87.500 (86.879) Epoch: [78][7870/10010] Time 0.330 (0.327) Data 0.001 (0.001) Loss 1.4960 (1.3606) Prec@1 63.281 (68.432) Prec@5 85.156 (86.880) Epoch: [78][7880/10010] Time 0.328 (0.327) Data 0.000 (0.001) Loss 1.2931 (1.3606) Prec@1 67.188 (68.430) Prec@5 89.844 (86.880) Epoch: [78][7890/10010] Time 0.329 (0.327) Data 0.001 (0.001) Loss 1.2114 (1.3606) Prec@1 67.969 (68.429) Prec@5 91.406 (86.880) Epoch: [78][7900/10010] Time 0.335 (0.327) Data 0.000 (0.001) Loss 0.9674 (1.3604) Prec@1 76.562 (68.433) Prec@5 94.531 (86.883) Epoch: [78][7910/10010] Time 0.314 (0.327) Data 0.001 (0.001) Loss 1.4074 (1.3603) Prec@1 64.062 (68.435) Prec@5 86.719 (86.885) Epoch: [78][7920/10010] Time 0.324 (0.327) Data 0.001 (0.001) Loss 1.4100 (1.3604) Prec@1 67.969 (68.433) Prec@5 85.938 (86.884) Epoch: [78][7930/10010] Time 0.320 (0.327) Data 0.000 (0.001) Loss 1.1696 (1.3603) Prec@1 67.969 (68.433) Prec@5 89.844 (86.884) Epoch: [78][7940/10010] Time 0.319 (0.327) Data 0.001 (0.001) Loss 1.6656 (1.3602) Prec@1 61.719 (68.435) Prec@5 85.156 (86.885) Epoch: [78][7950/10010] Time 0.320 (0.327) Data 0.001 (0.001) Loss 1.2905 (1.3603) Prec@1 68.750 (68.435) Prec@5 88.281 (86.883) Epoch: [78][7960/10010] Time 0.326 (0.327) Data 0.001 (0.001) Loss 1.2441 (1.3602) Prec@1 73.438 (68.438) Prec@5 86.719 (86.885) Epoch: [78][7970/10010] Time 0.336 (0.327) Data 0.000 (0.001) Loss 1.4143 (1.3602) Prec@1 72.656 (68.438) Prec@5 85.156 (86.885) Epoch: [78][7980/10010] Time 0.330 (0.327) Data 0.000 (0.001) Loss 1.2304 (1.3602) Prec@1 68.750 (68.438) Prec@5 89.062 (86.885) Epoch: [78][7990/10010] Time 0.323 (0.327) Data 0.001 (0.001) Loss 1.4639 (1.3603) Prec@1 64.062 (68.435) Prec@5 82.812 (86.883) Epoch: [78][8000/10010] Time 0.331 (0.327) Data 0.001 (0.001) Loss 1.2176 (1.3603) Prec@1 71.094 (68.433) Prec@5 89.062 (86.883) Epoch: [78][8010/10010] Time 0.338 (0.327) Data 0.000 (0.001) Loss 1.1802 (1.3603) Prec@1 73.438 (68.434) Prec@5 89.844 (86.884) Epoch: [78][8020/10010] Time 0.329 (0.327) Data 0.001 (0.001) Loss 1.5063 (1.3603) Prec@1 66.406 (68.433) Prec@5 88.281 (86.884) Epoch: [78][8030/10010] Time 0.321 (0.327) Data 0.001 (0.001) Loss 1.2734 (1.3603) Prec@1 71.094 (68.433) Prec@5 89.062 (86.884) Epoch: [78][8040/10010] Time 0.318 (0.327) Data 0.001 (0.001) Loss 1.1829 (1.3603) Prec@1 70.312 (68.432) Prec@5 89.844 (86.884) Epoch: [78][8050/10010] Time 0.320 (0.327) Data 0.001 (0.001) Loss 1.4129 (1.3603) Prec@1 68.750 (68.433) Prec@5 82.812 (86.884) Epoch: [78][8060/10010] Time 0.325 (0.327) Data 0.001 (0.001) Loss 1.4009 (1.3602) Prec@1 59.375 (68.432) Prec@5 89.062 (86.884) Epoch: [78][8070/10010] Time 0.340 (0.327) Data 0.000 (0.001) Loss 1.4909 (1.3603) Prec@1 63.281 (68.431) Prec@5 87.500 (86.882) Epoch: [78][8080/10010] Time 0.335 (0.327) Data 0.001 (0.001) Loss 1.2824 (1.3603) Prec@1 75.000 (68.433) Prec@5 87.500 (86.883) Epoch: [78][8090/10010] Time 0.335 (0.327) Data 0.001 (0.001) Loss 1.0042 (1.3602) Prec@1 72.656 (68.433) Prec@5 94.531 (86.883) Epoch: [78][8100/10010] Time 0.319 (0.327) Data 0.001 (0.001) Loss 1.3154 (1.3602) Prec@1 70.312 (68.432) Prec@5 85.938 (86.884) Epoch: [78][8110/10010] Time 0.338 (0.327) Data 0.000 (0.001) Loss 1.4496 (1.3602) Prec@1 68.750 (68.433) Prec@5 83.594 (86.884) Epoch: [78][8120/10010] Time 0.315 (0.327) Data 0.001 (0.001) Loss 1.2967 (1.3602) Prec@1 64.062 (68.432) Prec@5 89.844 (86.883) Epoch: [78][8130/10010] Time 0.311 (0.327) Data 0.000 (0.001) Loss 1.3947 (1.3603) Prec@1 64.844 (68.430) Prec@5 88.281 (86.881) Epoch: [78][8140/10010] Time 0.315 (0.327) Data 0.001 (0.001) Loss 1.3646 (1.3601) Prec@1 69.531 (68.433) Prec@5 85.938 (86.883) Epoch: [78][8150/10010] Time 0.332 (0.327) Data 0.001 (0.001) Loss 1.8644 (1.3602) Prec@1 58.594 (68.430) Prec@5 78.906 (86.881) Epoch: [78][8160/10010] Time 0.322 (0.327) Data 0.001 (0.001) Loss 1.3396 (1.3602) Prec@1 67.969 (68.429) Prec@5 85.938 (86.881) Epoch: [78][8170/10010] Time 0.320 (0.327) Data 0.000 (0.001) Loss 1.3395 (1.3602) Prec@1 73.438 (68.431) Prec@5 86.719 (86.881) Epoch: [78][8180/10010] Time 0.337 (0.327) Data 0.001 (0.001) Loss 1.1943 (1.3601) Prec@1 72.656 (68.432) Prec@5 88.281 (86.883) Epoch: [78][8190/10010] Time 0.337 (0.327) Data 0.000 (0.001) Loss 1.1322 (1.3602) Prec@1 75.781 (68.431) Prec@5 88.281 (86.883) Epoch: [78][8200/10010] Time 0.321 (0.327) Data 0.000 (0.001) Loss 1.5578 (1.3603) Prec@1 60.938 (68.429) Prec@5 85.156 (86.881) Epoch: [78][8210/10010] Time 0.338 (0.327) Data 0.001 (0.001) Loss 1.3083 (1.3602) Prec@1 67.188 (68.429) Prec@5 89.062 (86.884) Epoch: [78][8220/10010] Time 0.318 (0.327) Data 0.001 (0.001) Loss 1.2934 (1.3602) Prec@1 69.531 (68.430) Prec@5 88.281 (86.885) Epoch: [78][8230/10010] Time 0.330 (0.327) Data 0.000 (0.001) Loss 1.5926 (1.3602) Prec@1 65.625 (68.430) Prec@5 85.938 (86.885) Epoch: [78][8240/10010] Time 0.326 (0.327) Data 0.000 (0.001) Loss 1.6514 (1.3602) Prec@1 66.406 (68.430) Prec@5 85.156 (86.885) Epoch: [78][8250/10010] Time 0.336 (0.327) Data 0.001 (0.001) Loss 1.5962 (1.3602) Prec@1 64.062 (68.431) Prec@5 82.812 (86.884) Epoch: [78][8260/10010] Time 0.311 (0.327) Data 0.001 (0.001) Loss 1.4862 (1.3602) Prec@1 64.844 (68.430) Prec@5 85.156 (86.885) Epoch: [78][8270/10010] Time 0.338 (0.327) Data 0.000 (0.001) Loss 1.4254 (1.3604) Prec@1 67.188 (68.426) Prec@5 85.938 (86.883) Epoch: [78][8280/10010] Time 0.340 (0.327) Data 0.000 (0.001) Loss 1.3140 (1.3605) Prec@1 73.438 (68.425) Prec@5 89.844 (86.883) Epoch: [78][8290/10010] Time 0.341 (0.327) Data 0.000 (0.001) Loss 1.3857 (1.3604) Prec@1 67.188 (68.427) Prec@5 89.062 (86.884) Epoch: [78][8300/10010] Time 0.326 (0.327) Data 0.000 (0.001) Loss 1.4141 (1.3605) Prec@1 68.750 (68.424) Prec@5 84.375 (86.883) Epoch: [78][8310/10010] Time 0.338 (0.327) Data 0.001 (0.001) Loss 1.4191 (1.3604) Prec@1 67.969 (68.425) Prec@5 86.719 (86.885) Epoch: [78][8320/10010] Time 0.317 (0.327) Data 0.000 (0.001) Loss 1.4827 (1.3605) Prec@1 66.406 (68.423) Prec@5 86.719 (86.883) Epoch: [78][8330/10010] Time 0.335 (0.327) Data 0.000 (0.001) Loss 1.4274 (1.3605) Prec@1 64.062 (68.424) Prec@5 85.156 (86.883) Epoch: [78][8340/10010] Time 0.337 (0.327) Data 0.000 (0.001) Loss 1.3079 (1.3604) Prec@1 67.188 (68.425) Prec@5 86.719 (86.884) Epoch: [78][8350/10010] Time 0.338 (0.327) Data 0.001 (0.001) Loss 0.9351 (1.3604) Prec@1 82.031 (68.424) Prec@5 92.188 (86.884) Epoch: [78][8360/10010] Time 0.320 (0.327) Data 0.001 (0.001) Loss 1.3544 (1.3603) Prec@1 66.406 (68.424) Prec@5 87.500 (86.886) Epoch: [78][8370/10010] Time 0.334 (0.327) Data 0.000 (0.001) Loss 1.1411 (1.3603) Prec@1 71.875 (68.425) Prec@5 90.625 (86.885) Epoch: [78][8380/10010] Time 0.317 (0.327) Data 0.001 (0.001) Loss 1.5121 (1.3603) Prec@1 70.312 (68.426) Prec@5 85.156 (86.885) /data/vision/torralba/deepscene/lib/anaconda2/lib/python2.7/site-packages/PIL/TiffImagePlugin.py:692: UserWarning: Possibly corrupt EXIF data. Expecting to read 2555904 bytes but only got 0. Skipping tag 0 "Skipping tag %s" % (size, len(data), tag)) Epoch: [78][8390/10010] Time 0.317 (0.327) Data 0.001 (0.001) Loss 1.4511 (1.3604) Prec@1 69.531 (68.423) Prec@5 85.156 (86.883) Epoch: [78][8400/10010] Time 0.338 (0.327) Data 0.000 (0.001) Loss 1.4541 (1.3604) Prec@1 67.188 (68.425) Prec@5 88.281 (86.884) Epoch: [78][8410/10010] Time 0.316 (0.327) Data 0.001 (0.001) Loss 1.2922 (1.3603) Prec@1 71.094 (68.425) Prec@5 88.281 (86.885) Epoch: [78][8420/10010] Time 0.310 (0.327) Data 0.001 (0.001) Loss 1.1678 (1.3603) Prec@1 71.094 (68.426) Prec@5 89.844 (86.885) Epoch: [78][8430/10010] Time 0.328 (0.327) Data 0.000 (0.001) Loss 1.6108 (1.3603) Prec@1 69.531 (68.427) Prec@5 82.812 (86.885) Epoch: [78][8440/10010] Time 0.320 (0.327) Data 0.001 (0.001) Loss 1.2519 (1.3603) Prec@1 71.875 (68.428) Prec@5 89.844 (86.885) Epoch: [78][8450/10010] Time 0.330 (0.327) Data 0.000 (0.001) Loss 1.4338 (1.3603) Prec@1 66.406 (68.423) Prec@5 85.938 (86.885) Epoch: [78][8460/10010] Time 0.316 (0.327) Data 0.000 (0.001) Loss 1.4306 (1.3604) Prec@1 67.188 (68.422) Prec@5 88.281 (86.885) Epoch: [78][8470/10010] Time 0.320 (0.327) Data 0.000 (0.001) Loss 1.1749 (1.3604) Prec@1 75.781 (68.423) Prec@5 89.844 (86.886) Epoch: [78][8480/10010] Time 0.318 (0.327) Data 0.001 (0.001) Loss 1.5850 (1.3603) Prec@1 66.406 (68.422) Prec@5 82.031 (86.887) Epoch: [78][8490/10010] Time 0.335 (0.327) Data 0.001 (0.001) Loss 1.0551 (1.3603) Prec@1 74.219 (68.424) Prec@5 91.406 (86.888) Epoch: [78][8500/10010] Time 0.311 (0.327) Data 0.001 (0.001) Loss 1.3807 (1.3603) Prec@1 64.844 (68.423) Prec@5 86.719 (86.887) Epoch: [78][8510/10010] Time 0.316 (0.327) Data 0.000 (0.001) Loss 2.0749 (1.3604) Prec@1 56.250 (68.424) Prec@5 73.438 (86.886) Epoch: [78][8520/10010] Time 0.339 (0.327) Data 0.001 (0.001) Loss 1.4105 (1.3605) Prec@1 66.406 (68.422) Prec@5 85.938 (86.885) Epoch: [78][8530/10010] Time 0.340 (0.327) Data 0.001 (0.001) Loss 1.2276 (1.3605) Prec@1 69.531 (68.422) Prec@5 87.500 (86.885) Epoch: [78][8540/10010] Time 0.330 (0.327) Data 0.000 (0.001) Loss 1.1965 (1.3605) Prec@1 68.750 (68.422) Prec@5 89.062 (86.886) Epoch: [78][8550/10010] Time 0.338 (0.327) Data 0.001 (0.001) Loss 1.7700 (1.3604) Prec@1 61.719 (68.422) Prec@5 81.250 (86.885) Epoch: [78][8560/10010] Time 0.323 (0.327) Data 0.001 (0.001) Loss 1.2598 (1.3604) Prec@1 71.094 (68.421) Prec@5 86.719 (86.885) Epoch: [78][8570/10010] Time 0.332 (0.327) Data 0.000 (0.001) Loss 1.0799 (1.3604) Prec@1 75.000 (68.421) Prec@5 90.625 (86.885) Epoch: [78][8580/10010] Time 0.324 (0.327) Data 0.001 (0.001) Loss 1.1496 (1.3605) Prec@1 69.531 (68.420) Prec@5 92.969 (86.884) Epoch: [78][8590/10010] Time 0.333 (0.327) Data 0.001 (0.001) Loss 1.3027 (1.3604) Prec@1 63.281 (68.422) Prec@5 85.938 (86.885) Epoch: [78][8600/10010] Time 0.317 (0.327) Data 0.001 (0.001) Loss 1.3058 (1.3603) Prec@1 71.875 (68.422) Prec@5 86.719 (86.884) Epoch: [78][8610/10010] Time 0.333 (0.327) Data 0.000 (0.001) Loss 1.5419 (1.3604) Prec@1 67.188 (68.423) Prec@5 85.938 (86.883) Epoch: [78][8620/10010] Time 0.329 (0.327) Data 0.000 (0.001) Loss 1.4028 (1.3604) Prec@1 65.625 (68.420) Prec@5 86.719 (86.883) Epoch: [78][8630/10010] Time 0.319 (0.327) Data 0.001 (0.001) Loss 1.1922 (1.3604) Prec@1 73.438 (68.424) Prec@5 87.500 (86.884) Epoch: [78][8640/10010] Time 0.313 (0.327) Data 0.001 (0.001) Loss 1.2724 (1.3602) Prec@1 67.188 (68.424) Prec@5 87.500 (86.886) Epoch: [78][8650/10010] Time 0.330 (0.327) Data 0.000 (0.001) Loss 1.4818 (1.3603) Prec@1 63.281 (68.423) Prec@5 88.281 (86.886) Epoch: [78][8660/10010] Time 0.321 (0.327) Data 0.001 (0.001) Loss 1.2114 (1.3603) Prec@1 71.875 (68.422) Prec@5 92.188 (86.887) Epoch: [78][8670/10010] Time 0.320 (0.327) Data 0.001 (0.001) Loss 1.1122 (1.3603) Prec@1 76.562 (68.423) Prec@5 89.062 (86.887) Epoch: [78][8680/10010] Time 0.342 (0.327) Data 0.001 (0.001) Loss 1.1540 (1.3603) Prec@1 75.000 (68.424) Prec@5 90.625 (86.886) Epoch: [78][8690/10010] Time 0.338 (0.327) Data 0.000 (0.001) Loss 1.3946 (1.3603) Prec@1 68.750 (68.426) Prec@5 84.375 (86.885) Epoch: [78][8700/10010] Time 0.326 (0.327) Data 0.001 (0.001) Loss 1.4022 (1.3603) Prec@1 65.625 (68.424) Prec@5 89.844 (86.884) Epoch: [78][8710/10010] Time 0.328 (0.327) Data 0.001 (0.001) Loss 1.2179 (1.3603) Prec@1 73.438 (68.426) Prec@5 89.062 (86.885) Epoch: [78][8720/10010] Time 0.322 (0.327) Data 0.001 (0.001) Loss 1.1859 (1.3603) Prec@1 73.438 (68.426) Prec@5 89.844 (86.883) Epoch: [78][8730/10010] Time 0.319 (0.327) Data 0.001 (0.001) Loss 1.3837 (1.3604) Prec@1 66.406 (68.425) Prec@5 87.500 (86.882) Epoch: [78][8740/10010] Time 0.320 (0.327) Data 0.001 (0.001) Loss 1.4483 (1.3603) Prec@1 66.406 (68.427) Prec@5 88.281 (86.882) Epoch: [78][8750/10010] Time 0.335 (0.327) Data 0.001 (0.001) Loss 1.6216 (1.3602) Prec@1 57.812 (68.427) Prec@5 85.156 (86.883) Epoch: [78][8760/10010] Time 0.337 (0.327) Data 0.001 (0.001) Loss 1.1546 (1.3604) Prec@1 72.656 (68.426) Prec@5 89.062 (86.881) Epoch: [78][8770/10010] Time 0.313 (0.327) Data 0.000 (0.001) Loss 1.3729 (1.3604) Prec@1 64.844 (68.426) Prec@5 85.938 (86.880) Epoch: [78][8780/10010] Time 0.340 (0.327) Data 0.001 (0.001) Loss 1.2635 (1.3604) Prec@1 67.188 (68.425) Prec@5 91.406 (86.880) Epoch: [78][8790/10010] Time 0.332 (0.327) Data 0.001 (0.001) Loss 1.0790 (1.3604) Prec@1 71.875 (68.424) Prec@5 89.844 (86.880) Epoch: [78][8800/10010] Time 0.332 (0.327) Data 0.000 (0.001) Loss 1.3218 (1.3604) Prec@1 66.406 (68.423) Prec@5 89.062 (86.879) Epoch: [78][8810/10010] Time 0.334 (0.327) Data 0.000 (0.001) Loss 1.1712 (1.3603) Prec@1 77.344 (68.425) Prec@5 89.844 (86.880) Epoch: [78][8820/10010] Time 0.333 (0.327) Data 0.001 (0.001) Loss 1.3303 (1.3604) Prec@1 73.438 (68.424) Prec@5 86.719 (86.880) Epoch: [78][8830/10010] Time 0.322 (0.327) Data 0.001 (0.001) Loss 1.5264 (1.3603) Prec@1 65.625 (68.424) Prec@5 82.812 (86.880) Epoch: [78][8840/10010] Time 0.328 (0.327) Data 0.001 (0.001) Loss 1.2047 (1.3603) Prec@1 70.312 (68.423) Prec@5 90.625 (86.880) Epoch: [78][8850/10010] Time 0.318 (0.327) Data 0.000 (0.001) Loss 1.5478 (1.3602) Prec@1 60.938 (68.424) Prec@5 86.719 (86.883) Epoch: [78][8860/10010] Time 0.323 (0.327) Data 0.000 (0.001) Loss 1.2992 (1.3602) Prec@1 70.312 (68.426) Prec@5 88.281 (86.884) Epoch: [78][8870/10010] Time 0.331 (0.327) Data 0.001 (0.001) Loss 1.3848 (1.3602) Prec@1 68.750 (68.426) Prec@5 87.500 (86.885) Epoch: [78][8880/10010] Time 0.319 (0.327) Data 0.001 (0.001) Loss 1.3243 (1.3603) Prec@1 71.875 (68.426) Prec@5 89.844 (86.884) Epoch: [78][8890/10010] Time 0.334 (0.327) Data 0.001 (0.001) Loss 1.4155 (1.3603) Prec@1 67.188 (68.425) Prec@5 84.375 (86.883) Epoch: [78][8900/10010] Time 0.322 (0.327) Data 0.001 (0.001) Loss 1.3021 (1.3602) Prec@1 71.875 (68.427) Prec@5 85.938 (86.884) Epoch: [78][8910/10010] Time 0.317 (0.327) Data 0.001 (0.001) Loss 1.4428 (1.3602) Prec@1 66.406 (68.427) Prec@5 84.375 (86.884) Epoch: [78][8920/10010] Time 0.324 (0.327) Data 0.001 (0.001) Loss 1.1594 (1.3603) Prec@1 70.312 (68.424) Prec@5 86.719 (86.882) Epoch: [78][8930/10010] Time 0.325 (0.327) Data 0.001 (0.001) Loss 1.5784 (1.3604) Prec@1 65.625 (68.420) Prec@5 83.594 (86.878) Epoch: [78][8940/10010] Time 0.312 (0.327) Data 0.000 (0.001) Loss 1.4432 (1.3605) Prec@1 64.844 (68.418) Prec@5 86.719 (86.877) Epoch: [78][8950/10010] Time 0.335 (0.327) Data 0.001 (0.001) Loss 1.3352 (1.3605) Prec@1 67.188 (68.417) Prec@5 90.625 (86.878) Epoch: [78][8960/10010] Time 0.322 (0.327) Data 0.001 (0.001) Loss 1.2738 (1.3605) Prec@1 71.094 (68.418) Prec@5 89.062 (86.878) Epoch: [78][8970/10010] Time 0.317 (0.327) Data 0.001 (0.001) Loss 1.3804 (1.3605) Prec@1 67.969 (68.418) Prec@5 85.938 (86.878) Epoch: [78][8980/10010] Time 0.333 (0.327) Data 0.000 (0.001) Loss 1.4740 (1.3606) Prec@1 64.062 (68.417) Prec@5 88.281 (86.878) Epoch: [78][8990/10010] Time 0.324 (0.327) Data 0.001 (0.001) Loss 1.4106 (1.3606) Prec@1 72.656 (68.417) Prec@5 85.156 (86.879) /data/vision/torralba/deepscene/lib/anaconda2/lib/python2.7/site-packages/PIL/TiffImagePlugin.py:692: UserWarning: Possibly corrupt EXIF data. Expecting to read 19660800 bytes but only got 0. Skipping tag 0 "Skipping tag %s" % (size, len(data), tag)) /data/vision/torralba/deepscene/lib/anaconda2/lib/python2.7/site-packages/PIL/TiffImagePlugin.py:692: UserWarning: Possibly corrupt EXIF data. Expecting to read 18481152 bytes but only got 0. Skipping tag 0 "Skipping tag %s" % (size, len(data), tag)) /data/vision/torralba/deepscene/lib/anaconda2/lib/python2.7/site-packages/PIL/TiffImagePlugin.py:692: UserWarning: Possibly corrupt EXIF data. Expecting to read 37093376 bytes but only got 0. Skipping tag 0 "Skipping tag %s" % (size, len(data), tag)) /data/vision/torralba/deepscene/lib/anaconda2/lib/python2.7/site-packages/PIL/TiffImagePlugin.py:692: UserWarning: Possibly corrupt EXIF data. Expecting to read 39976960 bytes but only got 0. Skipping tag 0 "Skipping tag %s" % (size, len(data), tag)) /data/vision/torralba/deepscene/lib/anaconda2/lib/python2.7/site-packages/PIL/TiffImagePlugin.py:692: UserWarning: Possibly corrupt EXIF data. Expecting to read 34865152 bytes but only got 0. Skipping tag 0 "Skipping tag %s" % (size, len(data), tag)) /data/vision/torralba/deepscene/lib/anaconda2/lib/python2.7/site-packages/PIL/TiffImagePlugin.py:709: UserWarning: Corrupt EXIF data. Expecting to read 12 bytes but only got 10. warnings.warn(str(msg)) Epoch: [78][9000/10010] Time 0.340 (0.327) Data 0.001 (0.001) Loss 1.3010 (1.3606) Prec@1 66.406 (68.416) Prec@5 88.281 (86.880) Epoch: [78][9010/10010] Time 0.311 (0.327) Data 0.000 (0.001) Loss 1.3590 (1.3605) Prec@1 65.625 (68.418) Prec@5 85.156 (86.880) Epoch: [78][9020/10010] Time 0.339 (0.327) Data 0.001 (0.001) Loss 1.3895 (1.3605) Prec@1 74.219 (68.419) Prec@5 87.500 (86.880) Epoch: [78][9030/10010] Time 0.316 (0.327) Data 0.001 (0.001) Loss 1.5948 (1.3605) Prec@1 65.625 (68.419) Prec@5 84.375 (86.881) Epoch: [78][9040/10010] Time 0.339 (0.327) Data 0.000 (0.001) Loss 1.0081 (1.3605) Prec@1 75.000 (68.418) Prec@5 91.406 (86.881) Epoch: [78][9050/10010] Time 0.335 (0.327) Data 0.000 (0.001) Loss 1.3184 (1.3604) Prec@1 71.094 (68.420) Prec@5 86.719 (86.882) Epoch: [78][9060/10010] Time 0.316 (0.327) Data 0.000 (0.001) Loss 1.5753 (1.3604) Prec@1 64.062 (68.420) Prec@5 82.812 (86.882) Epoch: [78][9070/10010] Time 0.330 (0.327) Data 0.001 (0.001) Loss 1.3035 (1.3604) Prec@1 67.969 (68.418) Prec@5 87.500 (86.882) Epoch: [78][9080/10010] Time 0.313 (0.327) Data 0.001 (0.001) Loss 1.5182 (1.3604) Prec@1 66.406 (68.417) Prec@5 83.594 (86.882) Epoch: [78][9090/10010] Time 0.330 (0.327) Data 0.000 (0.001) Loss 1.2848 (1.3604) Prec@1 70.312 (68.416) Prec@5 89.062 (86.881) Epoch: [78][9100/10010] Time 0.318 (0.327) Data 0.001 (0.001) Loss 1.3340 (1.3604) Prec@1 64.844 (68.417) Prec@5 86.719 (86.882) Epoch: [78][9110/10010] Time 0.334 (0.327) Data 0.000 (0.001) Loss 1.4746 (1.3604) Prec@1 64.062 (68.418) Prec@5 85.938 (86.883) Epoch: [78][9120/10010] Time 0.315 (0.327) Data 0.001 (0.001) Loss 1.3380 (1.3603) Prec@1 65.625 (68.420) Prec@5 88.281 (86.884) Epoch: [78][9130/10010] Time 0.325 (0.327) Data 0.001 (0.001) Loss 1.2236 (1.3603) Prec@1 75.000 (68.419) Prec@5 86.719 (86.885) Epoch: [78][9140/10010] Time 0.329 (0.327) Data 0.001 (0.001) Loss 1.4743 (1.3604) Prec@1 68.750 (68.418) Prec@5 82.031 (86.885) Epoch: [78][9150/10010] Time 0.321 (0.327) Data 0.001 (0.001) Loss 1.2775 (1.3604) Prec@1 69.531 (68.416) Prec@5 88.281 (86.885) Epoch: [78][9160/10010] Time 0.329 (0.327) Data 0.001 (0.001) Loss 1.1408 (1.3604) Prec@1 71.875 (68.417) Prec@5 89.062 (86.886) Epoch: [78][9170/10010] Time 0.336 (0.327) Data 0.000 (0.001) Loss 1.5128 (1.3604) Prec@1 63.281 (68.417) Prec@5 85.156 (86.885) Epoch: [78][9180/10010] Time 0.328 (0.327) Data 0.000 (0.001) Loss 1.2087 (1.3603) Prec@1 71.875 (68.417) Prec@5 89.062 (86.886) Epoch: [78][9190/10010] Time 0.336 (0.327) Data 0.001 (0.001) Loss 1.0057 (1.3603) Prec@1 75.000 (68.417) Prec@5 92.188 (86.886) Epoch: [78][9200/10010] Time 0.330 (0.327) Data 0.001 (0.001) Loss 1.3418 (1.3605) Prec@1 73.438 (68.414) Prec@5 89.062 (86.884) Epoch: [78][9210/10010] Time 0.329 (0.327) Data 0.000 (0.001) Loss 1.4986 (1.3605) Prec@1 68.750 (68.412) Prec@5 81.250 (86.883) Epoch: [78][9220/10010] Time 0.331 (0.327) Data 0.001 (0.001) Loss 1.4677 (1.3605) Prec@1 65.625 (68.411) Prec@5 82.812 (86.881) Epoch: [78][9230/10010] Time 0.342 (0.327) Data 0.001 (0.001) Loss 1.5724 (1.3605) Prec@1 63.281 (68.412) Prec@5 83.594 (86.881) Epoch: [78][9240/10010] Time 0.335 (0.327) Data 0.000 (0.001) Loss 1.4203 (1.3605) Prec@1 68.750 (68.411) Prec@5 86.719 (86.881) Epoch: [78][9250/10010] Time 0.341 (0.327) Data 0.001 (0.001) Loss 1.3339 (1.3605) Prec@1 67.969 (68.410) Prec@5 85.938 (86.882) Epoch: [78][9260/10010] Time 0.315 (0.327) Data 0.001 (0.001) Loss 1.4797 (1.3605) Prec@1 70.312 (68.409) Prec@5 86.719 (86.882) Epoch: [78][9270/10010] Time 0.319 (0.327) Data 0.001 (0.001) Loss 1.2884 (1.3605) Prec@1 69.531 (68.407) Prec@5 89.062 (86.881) Epoch: [78][9280/10010] Time 0.328 (0.327) Data 0.001 (0.001) Loss 1.2728 (1.3605) Prec@1 68.750 (68.406) Prec@5 86.719 (86.881) Epoch: [78][9290/10010] Time 0.343 (0.327) Data 0.001 (0.001) Loss 1.1459 (1.3606) Prec@1 75.781 (68.407) Prec@5 90.625 (86.881) Epoch: [78][9300/10010] Time 0.333 (0.327) Data 0.001 (0.001) Loss 1.4641 (1.3605) Prec@1 71.875 (68.408) Prec@5 82.812 (86.880) Epoch: [78][9310/10010] Time 0.334 (0.327) Data 0.001 (0.001) Loss 1.5130 (1.3606) Prec@1 67.969 (68.406) Prec@5 85.156 (86.879) Epoch: [78][9320/10010] Time 0.340 (0.327) Data 0.000 (0.001) Loss 1.4443 (1.3606) Prec@1 64.844 (68.404) Prec@5 83.594 (86.879) Epoch: [78][9330/10010] Time 0.328 (0.327) Data 0.001 (0.001) Loss 1.7158 (1.3607) Prec@1 61.719 (68.402) Prec@5 82.812 (86.878) Epoch: [78][9340/10010] Time 0.330 (0.327) Data 0.001 (0.001) Loss 1.5214 (1.3607) Prec@1 67.188 (68.402) Prec@5 83.594 (86.878) Epoch: [78][9350/10010] Time 0.320 (0.327) Data 0.001 (0.001) Loss 1.2503 (1.3607) Prec@1 73.438 (68.402) Prec@5 89.844 (86.878) Epoch: [78][9360/10010] Time 0.334 (0.327) Data 0.000 (0.001) Loss 1.1338 (1.3606) Prec@1 76.562 (68.405) Prec@5 90.625 (86.879) Epoch: [78][9370/10010] Time 0.319 (0.327) Data 0.001 (0.001) Loss 1.1485 (1.3607) Prec@1 71.875 (68.403) Prec@5 89.844 (86.878) Epoch: [78][9380/10010] Time 0.335 (0.327) Data 0.001 (0.001) Loss 1.7438 (1.3607) Prec@1 59.375 (68.402) Prec@5 82.031 (86.876) Epoch: [78][9390/10010] Time 0.323 (0.327) Data 0.001 (0.001) Loss 1.7136 (1.3607) Prec@1 60.156 (68.401) Prec@5 82.812 (86.877) Epoch: [78][9400/10010] Time 0.316 (0.327) Data 0.000 (0.001) Loss 1.3274 (1.3607) Prec@1 67.969 (68.401) Prec@5 87.500 (86.878) Epoch: [78][9410/10010] Time 0.320 (0.327) Data 0.000 (0.001) Loss 1.7135 (1.3608) Prec@1 59.375 (68.401) Prec@5 82.812 (86.876) Epoch: [78][9420/10010] Time 0.323 (0.327) Data 0.001 (0.001) Loss 1.2193 (1.3607) Prec@1 67.188 (68.402) Prec@5 90.625 (86.877) Epoch: [78][9430/10010] Time 0.322 (0.327) Data 0.001 (0.001) Loss 1.4850 (1.3607) Prec@1 66.406 (68.404) Prec@5 87.500 (86.877) Epoch: [78][9440/10010] Time 0.322 (0.327) Data 0.001 (0.001) Loss 1.2887 (1.3607) Prec@1 63.281 (68.402) Prec@5 86.719 (86.876) Epoch: [78][9450/10010] Time 0.310 (0.327) Data 0.000 (0.001) Loss 1.4546 (1.3607) Prec@1 66.406 (68.403) Prec@5 85.156 (86.876) Epoch: [78][9460/10010] Time 0.317 (0.327) Data 0.000 (0.001) Loss 1.3076 (1.3606) Prec@1 69.531 (68.402) Prec@5 85.156 (86.877) Epoch: [78][9470/10010] Time 0.311 (0.327) Data 0.001 (0.001) Loss 1.2325 (1.3607) Prec@1 71.875 (68.400) Prec@5 88.281 (86.875) Epoch: [78][9480/10010] Time 0.316 (0.327) Data 0.001 (0.001) Loss 1.6164 (1.3607) Prec@1 62.500 (68.399) Prec@5 82.812 (86.874) Epoch: [78][9490/10010] Time 0.337 (0.327) Data 0.000 (0.001) Loss 1.3917 (1.3607) Prec@1 64.062 (68.399) Prec@5 85.156 (86.874) Epoch: [78][9500/10010] Time 0.313 (0.327) Data 0.000 (0.001) Loss 1.3038 (1.3607) Prec@1 72.656 (68.401) Prec@5 88.281 (86.876) Epoch: [78][9510/10010] Time 0.320 (0.327) Data 0.000 (0.001) Loss 1.5076 (1.3609) Prec@1 62.500 (68.396) Prec@5 87.500 (86.874) Epoch: [78][9520/10010] Time 0.319 (0.327) Data 0.001 (0.001) Loss 1.4578 (1.3608) Prec@1 66.406 (68.398) Prec@5 82.031 (86.874) Epoch: [78][9530/10010] Time 0.320 (0.327) Data 0.001 (0.001) Loss 1.4684 (1.3608) Prec@1 70.312 (68.399) Prec@5 84.375 (86.874) Epoch: [78][9540/10010] Time 0.316 (0.327) Data 0.000 (0.001) Loss 1.8044 (1.3608) Prec@1 59.375 (68.401) Prec@5 82.031 (86.875) Epoch: [78][9550/10010] Time 0.321 (0.327) Data 0.001 (0.001) Loss 1.4979 (1.3608) Prec@1 67.188 (68.402) Prec@5 83.594 (86.875) Epoch: [78][9560/10010] Time 0.331 (0.327) Data 0.001 (0.001) Loss 1.2843 (1.3608) Prec@1 70.312 (68.402) Prec@5 89.844 (86.874) Epoch: [78][9570/10010] Time 0.326 (0.327) Data 0.001 (0.001) Loss 1.3754 (1.3607) Prec@1 66.406 (68.403) Prec@5 88.281 (86.875) Epoch: [78][9580/10010] Time 0.337 (0.327) Data 0.001 (0.001) Loss 1.5617 (1.3606) Prec@1 65.625 (68.404) Prec@5 83.594 (86.875) Epoch: [78][9590/10010] Time 0.325 (0.327) Data 0.000 (0.001) Loss 1.5510 (1.3607) Prec@1 66.406 (68.402) Prec@5 85.156 (86.874) Epoch: [78][9600/10010] Time 0.326 (0.327) Data 0.001 (0.001) Loss 1.4215 (1.3607) Prec@1 72.656 (68.399) Prec@5 88.281 (86.874) Epoch: [78][9610/10010] Time 0.337 (0.327) Data 0.000 (0.001) Loss 1.3525 (1.3608) Prec@1 67.188 (68.398) Prec@5 83.594 (86.872) Epoch: [78][9620/10010] Time 0.336 (0.327) Data 0.001 (0.001) Loss 1.6048 (1.3607) Prec@1 64.062 (68.399) Prec@5 81.250 (86.873) Epoch: [78][9630/10010] Time 0.329 (0.327) Data 0.000 (0.001) Loss 1.5608 (1.3608) Prec@1 66.406 (68.398) Prec@5 82.031 (86.872) Epoch: [78][9640/10010] Time 0.333 (0.327) Data 0.001 (0.001) Loss 1.4130 (1.3609) Prec@1 69.531 (68.396) Prec@5 85.938 (86.870) Epoch: [78][9650/10010] Time 0.335 (0.327) Data 0.000 (0.001) Loss 1.5634 (1.3609) Prec@1 64.062 (68.395) Prec@5 84.375 (86.868) Epoch: [78][9660/10010] Time 0.317 (0.327) Data 0.000 (0.001) Loss 1.6127 (1.3609) Prec@1 60.156 (68.395) Prec@5 85.156 (86.869) Epoch: [78][9670/10010] Time 0.318 (0.327) Data 0.000 (0.001) Loss 1.4019 (1.3610) Prec@1 67.969 (68.394) Prec@5 87.500 (86.869) Epoch: [78][9680/10010] Time 0.320 (0.327) Data 0.001 (0.001) Loss 1.3926 (1.3611) Prec@1 71.094 (68.393) Prec@5 89.844 (86.869) Epoch: [78][9690/10010] Time 0.322 (0.327) Data 0.000 (0.001) Loss 1.3173 (1.3611) Prec@1 69.531 (68.393) Prec@5 89.062 (86.869) Epoch: [78][9700/10010] Time 0.335 (0.327) Data 0.001 (0.001) Loss 1.5734 (1.3612) Prec@1 64.062 (68.392) Prec@5 83.594 (86.868) Epoch: [78][9710/10010] Time 0.317 (0.327) Data 0.001 (0.001) Loss 1.6289 (1.3611) Prec@1 64.844 (68.392) Prec@5 83.594 (86.869) Epoch: [78][9720/10010] Time 0.322 (0.327) Data 0.001 (0.001) Loss 1.6911 (1.3611) Prec@1 64.062 (68.392) Prec@5 82.812 (86.870) Epoch: [78][9730/10010] Time 0.340 (0.327) Data 0.000 (0.001) Loss 1.3875 (1.3611) Prec@1 68.750 (68.392) Prec@5 87.500 (86.871) Epoch: [78][9740/10010] Time 0.324 (0.327) Data 0.001 (0.001) Loss 1.3080 (1.3612) Prec@1 67.969 (68.392) Prec@5 89.844 (86.870) Epoch: [78][9750/10010] Time 0.330 (0.327) Data 0.001 (0.001) Loss 1.2426 (1.3612) Prec@1 71.875 (68.389) Prec@5 87.500 (86.869) Epoch: [78][9760/10010] Time 0.331 (0.327) Data 0.001 (0.001) Loss 1.1715 (1.3612) Prec@1 73.438 (68.389) Prec@5 88.281 (86.868) Epoch: [78][9770/10010] Time 0.335 (0.327) Data 0.000 (0.001) Loss 1.3066 (1.3612) Prec@1 68.750 (68.387) Prec@5 85.938 (86.867) Epoch: [78][9780/10010] Time 0.310 (0.327) Data 0.001 (0.001) Loss 1.1335 (1.3612) Prec@1 69.531 (68.387) Prec@5 91.406 (86.868) Epoch: [78][9790/10010] Time 0.327 (0.327) Data 0.000 (0.001) Loss 1.5442 (1.3612) Prec@1 66.406 (68.389) Prec@5 86.719 (86.870) Epoch: [78][9800/10010] Time 0.330 (0.327) Data 0.001 (0.001) Loss 1.3318 (1.3612) Prec@1 66.406 (68.391) Prec@5 87.500 (86.870) Epoch: [78][9810/10010] Time 0.340 (0.327) Data 0.000 (0.001) Loss 1.2481 (1.3610) Prec@1 67.188 (68.392) Prec@5 87.500 (86.872) Epoch: [78][9820/10010] Time 0.345 (0.327) Data 0.001 (0.001) Loss 1.5082 (1.3610) Prec@1 64.062 (68.394) Prec@5 83.594 (86.873) Epoch: [78][9830/10010] Time 0.342 (0.327) Data 0.000 (0.001) Loss 1.3458 (1.3609) Prec@1 67.969 (68.396) Prec@5 85.156 (86.874) Epoch: [78][9840/10010] Time 0.326 (0.327) Data 0.001 (0.001) Loss 1.2606 (1.3609) Prec@1 72.656 (68.396) Prec@5 85.156 (86.874) Epoch: [78][9850/10010] Time 0.314 (0.327) Data 0.001 (0.001) Loss 1.0819 (1.3609) Prec@1 73.438 (68.398) Prec@5 90.625 (86.874) Epoch: [78][9860/10010] Time 0.337 (0.327) Data 0.001 (0.001) Loss 1.1950 (1.3609) Prec@1 67.969 (68.397) Prec@5 89.844 (86.875) Epoch: [78][9870/10010] Time 0.313 (0.327) Data 0.000 (0.001) Loss 1.4786 (1.3609) Prec@1 64.062 (68.396) Prec@5 85.938 (86.874) Epoch: [78][9880/10010] Time 0.317 (0.327) Data 0.001 (0.001) Loss 1.4500 (1.3608) Prec@1 65.625 (68.396) Prec@5 83.594 (86.874) Epoch: [78][9890/10010] Time 0.336 (0.327) Data 0.000 (0.001) Loss 1.6134 (1.3609) Prec@1 67.188 (68.394) Prec@5 82.812 (86.873) Epoch: [78][9900/10010] Time 0.341 (0.327) Data 0.000 (0.001) Loss 1.4500 (1.3609) Prec@1 67.188 (68.395) Prec@5 85.156 (86.873) Epoch: [78][9910/10010] Time 0.320 (0.327) Data 0.001 (0.001) Loss 1.3933 (1.3608) Prec@1 69.531 (68.396) Prec@5 85.156 (86.874) Epoch: [78][9920/10010] Time 0.318 (0.327) Data 0.001 (0.001) Loss 1.2811 (1.3608) Prec@1 67.969 (68.397) Prec@5 89.844 (86.874) Epoch: [78][9930/10010] Time 0.314 (0.327) Data 0.001 (0.001) Loss 1.3603 (1.3608) Prec@1 67.188 (68.398) Prec@5 89.062 (86.876) Epoch: [78][9940/10010] Time 0.336 (0.327) Data 0.001 (0.001) Loss 1.1638 (1.3607) Prec@1 70.312 (68.399) Prec@5 89.844 (86.876) Epoch: [78][9950/10010] Time 0.319 (0.327) Data 0.000 (0.001) Loss 1.2036 (1.3607) Prec@1 72.656 (68.401) Prec@5 88.281 (86.875) Epoch: [78][9960/10010] Time 0.337 (0.327) Data 0.001 (0.001) Loss 1.2529 (1.3607) Prec@1 65.625 (68.401) Prec@5 92.969 (86.877) Epoch: [78][9970/10010] Time 0.314 (0.327) Data 0.001 (0.001) Loss 1.0312 (1.3607) Prec@1 76.562 (68.402) Prec@5 94.531 (86.876) Epoch: [78][9980/10010] Time 0.323 (0.327) Data 0.001 (0.001) Loss 1.2678 (1.3606) Prec@1 67.969 (68.405) Prec@5 90.625 (86.879) Epoch: [78][9990/10010] Time 0.342 (0.327) Data 0.000 (0.001) Loss 1.1333 (1.3606) Prec@1 70.312 (68.404) Prec@5 92.188 (86.878) Epoch: [78][10000/10010] Time 0.312 (0.327) Data 0.000 (0.001) Loss 1.4065 (1.3606) Prec@1 71.094 (68.406) Prec@5 87.500 (86.879) Test: [0/391] Time 1.390 (1.390) Loss 0.6557 (0.6557) Prec@1 85.938 (85.938) Prec@5 95.312 (95.312) Test: [10/391] Time 0.106 (0.234) Loss 1.2050 (0.6259) Prec@1 71.094 (84.801) Prec@5 89.844 (95.597) Test: [20/391] Time 0.106 (0.172) Loss 0.8124 (0.9042) Prec@1 78.125 (77.530) Prec@5 93.750 (92.597) Test: [30/391] Time 0.100 (0.150) Loss 1.5506 (1.0214) Prec@1 69.531 (74.093) Prec@5 87.500 (91.835) Test: [40/391] Time 0.177 (0.141) Loss 0.8033 (0.9174) Prec@1 82.031 (76.810) Prec@5 92.969 (92.721) Test: [50/391] Time 0.104 (0.133) Loss 0.4766 (0.9408) Prec@1 87.500 (76.777) Prec@5 96.875 (92.402) Test: [60/391] Time 0.104 (0.129) Loss 1.0199 (0.8911) Prec@1 72.656 (77.971) Prec@5 91.406 (92.905) Test: [70/391] Time 0.100 (0.125) Loss 1.1610 (0.9225) Prec@1 66.406 (76.761) Prec@5 94.531 (92.969) Test: [80/391] Time 0.109 (0.123) Loss 0.9395 (0.9331) Prec@1 78.125 (76.321) Prec@5 93.750 (93.133) Test: [90/391] Time 0.100 (0.121) Loss 1.1168 (0.9387) Prec@1 57.031 (76.107) Prec@5 96.094 (93.158) Test: [100/391] Time 0.110 (0.120) Loss 0.6830 (0.9300) Prec@1 83.594 (75.990) Prec@5 97.656 (93.441) Test: [110/391] Time 0.110 (0.119) Loss 1.2580 (0.9327) Prec@1 52.344 (75.612) Prec@5 94.531 (93.574) Test: [120/391] Time 0.101 (0.118) Loss 0.7668 (0.9280) Prec@1 82.812 (75.930) Prec@5 96.875 (93.601) Test: [130/391] Time 0.113 (0.117) Loss 0.3988 (0.9221) Prec@1 92.188 (76.223) Prec@5 96.094 (93.643) Test: [140/391] Time 0.099 (0.116) Loss 1.2997 (0.9219) Prec@1 64.844 (76.125) Prec@5 92.188 (93.689) Test: [150/391] Time 0.106 (0.115) Loss 1.0175 (0.9283) Prec@1 67.969 (76.081) Prec@5 92.188 (93.496) Test: [160/391] Time 0.104 (0.115) Loss 0.9711 (0.9355) Prec@1 72.656 (75.917) Prec@5 93.750 (93.444) Test: [170/391] Time 0.105 (0.114) Loss 1.7051 (0.9639) Prec@1 54.688 (75.292) Prec@5 86.719 (93.110) Test: [180/391] Time 0.100 (0.114) Loss 1.7008 (0.9909) Prec@1 63.281 (74.745) Prec@5 89.062 (92.796) Test: [190/391] Time 0.103 (0.113) Loss 1.8771 (1.0232) Prec@1 57.812 (74.043) Prec@5 85.156 (92.392) Test: [200/391] Time 0.101 (0.113) Loss 0.9914 (1.0534) Prec@1 72.656 (73.469) Prec@5 95.312 (91.981) Test: [210/391] Time 0.107 (0.112) Loss 1.4488 (1.0718) Prec@1 69.531 (73.123) Prec@5 86.719 (91.758) Test: [220/391] Time 0.099 (0.112) Loss 0.6049 (1.0812) Prec@1 84.375 (72.932) Prec@5 96.875 (91.569) Test: [230/391] Time 0.105 (0.112) Loss 2.0596 (1.0947) Prec@1 53.125 (72.693) Prec@5 81.250 (91.406) Test: [240/391] Time 0.105 (0.112) Loss 1.3617 (1.1018) Prec@1 73.438 (72.650) Prec@5 87.500 (91.286) Test: [250/391] Time 0.107 (0.111) Loss 0.8443 (1.1270) Prec@1 78.906 (72.021) Prec@5 92.969 (90.961) Test: [260/391] Time 0.118 (0.111) Loss 1.4070 (1.1430) Prec@1 64.844 (71.701) Prec@5 87.500 (90.784) Test: [270/391] Time 0.165 (0.111) Loss 2.0065 (1.1540) Prec@1 54.688 (71.454) Prec@5 82.031 (90.622) Test: [280/391] Time 0.102 (0.111) Loss 1.1880 (1.1601) Prec@1 71.094 (71.372) Prec@5 90.625 (90.539) Test: [290/391] Time 0.103 (0.111) Loss 1.4908 (1.1713) Prec@1 53.906 (71.155) Prec@5 91.406 (90.330) Test: [300/391] Time 0.103 (0.111) Loss 1.1451 (1.1803) Prec@1 79.688 (71.006) Prec@5 86.719 (90.186) Test: [310/391] Time 0.105 (0.111) Loss 1.4916 (1.1881) Prec@1 69.531 (70.910) Prec@5 83.594 (90.042) Test: [320/391] Time 0.102 (0.110) Loss 0.8677 (1.1955) Prec@1 80.469 (70.792) Prec@5 93.750 (89.944) Test: [330/391] Time 0.109 (0.110) Loss 1.8386 (1.2140) Prec@1 61.719 (70.383) Prec@5 79.688 (89.712) Test: [340/391] Time 0.107 (0.110) Loss 1.0379 (1.2195) Prec@1 67.188 (70.244) Prec@5 93.750 (89.647) Test: [350/391] Time 0.115 (0.110) Loss 1.1795 (1.2247) Prec@1 75.781 (70.183) Prec@5 88.281 (89.550) Test: [360/391] Time 0.101 (0.110) Loss 1.5512 (1.2331) Prec@1 58.594 (70.038) Prec@5 89.844 (89.487) Test: [370/391] Time 0.107 (0.110) Loss 1.1373 (1.2289) Prec@1 63.281 (70.058) Prec@5 94.531 (89.541) Test: [380/391] Time 0.102 (0.110) Loss 0.9361 (1.2317) Prec@1 79.688 (69.984) Prec@5 93.750 (89.524) Test: [390/391] Time 0.070 (0.110) Loss 1.8833 (1.2253) Prec@1 47.500 (70.152) Prec@5 81.250 (89.588) * Prec@1 70.152 Prec@5 89.588 Epoch: [79][0/10010] Time 2.501 (2.501) Data 2.324 (2.324) Loss 1.2471 (1.2471) Prec@1 70.312 (70.312) Prec@5 89.062 (89.062) Epoch: [79][10/10010] Time 0.323 (0.514) Data 0.001 (0.218) Loss 1.6394 (1.3020) Prec@1 60.938 (68.537) Prec@5 81.250 (87.358) Epoch: [79][20/10010] Time 0.321 (0.419) Data 0.000 (0.115) Loss 1.5426 (1.3631) Prec@1 61.719 (67.746) Prec@5 84.375 (86.458) Epoch: [79][30/10010] Time 0.324 (0.386) Data 0.001 (0.078) Loss 1.3529 (1.3906) Prec@1 71.875 (67.238) Prec@5 86.719 (86.190) Epoch: [79][40/10010] Time 0.318 (0.371) Data 0.001 (0.059) Loss 1.1921 (1.3658) Prec@1 67.969 (67.835) Prec@5 91.406 (86.604) Epoch: [79][50/10010] Time 0.329 (0.362) Data 0.001 (0.048) Loss 1.3430 (1.3658) Prec@1 66.406 (67.785) Prec@5 89.062 (86.550) Epoch: [79][60/10010] Time 0.340 (0.357) Data 0.000 (0.040) Loss 1.3936 (1.3526) Prec@1 67.188 (68.289) Prec@5 86.719 (86.834) Epoch: [79][70/10010] Time 0.338 (0.354) Data 0.001 (0.034) Loss 1.4780 (1.3577) Prec@1 67.969 (68.277) Prec@5 82.031 (86.774) Epoch: [79][80/10010] Time 0.336 (0.351) Data 0.000 (0.030) Loss 1.4665 (1.3592) Prec@1 67.969 (68.345) Prec@5 86.719 (86.796) Epoch: [79][90/10010] Time 0.323 (0.348) Data 0.001 (0.027) Loss 1.4148 (1.3575) Prec@1 67.969 (68.364) Prec@5 84.375 (86.822) Epoch: [79][100/10010] Time 0.341 (0.346) Data 0.000 (0.024) Loss 1.7459 (1.3635) Prec@1 55.469 (68.162) Prec@5 83.594 (86.726) Epoch: [79][110/10010] Time 0.319 (0.345) Data 0.001 (0.022) Loss 1.1602 (1.3530) Prec@1 74.219 (68.370) Prec@5 86.719 (86.881) Epoch: [79][120/10010] Time 0.320 (0.343) Data 0.001 (0.020) Loss 1.2057 (1.3562) Prec@1 71.094 (68.330) Prec@5 86.719 (86.809) Epoch: [79][130/10010] Time 0.333 (0.343) Data 0.001 (0.019) Loss 1.4365 (1.3617) Prec@1 62.500 (68.267) Prec@5 81.250 (86.677) Epoch: [79][140/10010] Time 0.337 (0.342) Data 0.001 (0.018) Loss 1.3214 (1.3594) Prec@1 64.062 (68.329) Prec@5 88.281 (86.702) Epoch: [79][150/10010] Time 0.342 (0.341) Data 0.000 (0.016) Loss 1.2862 (1.3649) Prec@1 68.750 (68.243) Prec@5 89.844 (86.719) Epoch: [79][160/10010] Time 0.327 (0.340) Data 0.001 (0.016) Loss 1.1159 (1.3638) Prec@1 75.781 (68.308) Prec@5 92.188 (86.738) Epoch: [79][170/10010] Time 0.340 (0.339) Data 0.001 (0.015) Loss 1.2457 (1.3591) Prec@1 69.531 (68.366) Prec@5 87.500 (86.760) Epoch: [79][180/10010] Time 0.314 (0.339) Data 0.000 (0.014) Loss 1.5748 (1.3584) Prec@1 61.719 (68.362) Prec@5 82.031 (86.736) Epoch: [79][190/10010] Time 0.331 (0.339) Data 0.001 (0.013) Loss 1.3016 (1.3533) Prec@1 71.875 (68.366) Prec@5 89.062 (86.833) Epoch: [79][200/10010] Time 0.334 (0.339) Data 0.001 (0.013) Loss 1.2882 (1.3559) Prec@1 71.875 (68.392) Prec@5 87.500 (86.777) Epoch: [79][210/10010] Time 0.335 (0.338) Data 0.001 (0.012) Loss 1.3163 (1.3499) Prec@1 71.875 (68.539) Prec@5 89.844 (86.878) Epoch: [79][220/10010] Time 0.336 (0.337) Data 0.000 (0.011) Loss 1.2381 (1.3499) Prec@1 68.750 (68.492) Prec@5 91.406 (86.917) Epoch: [79][230/10010] Time 0.316 (0.337) Data 0.001 (0.011) Loss 1.0990 (1.3462) Prec@1 75.781 (68.564) Prec@5 89.062 (86.989) Epoch: [79][240/10010] Time 0.339 (0.336) Data 0.000 (0.011) Loss 1.4301 (1.3457) Prec@1 71.875 (68.614) Prec@5 82.812 (86.981) Epoch: [79][250/10010] Time 0.319 (0.336) Data 0.001 (0.010) Loss 1.2980 (1.3451) Prec@1 74.219 (68.672) Prec@5 87.500 (86.986) Epoch: [79][260/10010] Time 0.317 (0.335) Data 0.000 (0.010) Loss 1.6214 (1.3470) Prec@1 61.719 (68.630) Prec@5 83.594 (86.949) Epoch: [79][270/10010] Time 0.318 (0.335) Data 0.001 (0.009) Loss 1.2369 (1.3472) Prec@1 67.969 (68.640) Prec@5 87.500 (86.952) Epoch: [79][280/10010] Time 0.323 (0.334) Data 0.001 (0.009) Loss 1.2261 (1.3463) Prec@1 67.969 (68.617) Prec@5 86.719 (86.952) Epoch: [79][290/10010] Time 0.321 (0.334) Data 0.000 (0.009) Loss 1.3310 (1.3451) Prec@1 73.438 (68.667) Prec@5 86.719 (87.001) Epoch: [79][300/10010] Time 0.336 (0.333) Data 0.000 (0.009) Loss 1.1516 (1.3447) Prec@1 70.312 (68.680) Prec@5 94.531 (87.043) Epoch: [79][310/10010] Time 0.331 (0.333) Data 0.000 (0.008) Loss 1.6546 (1.3435) Prec@1 63.281 (68.682) Prec@5 82.812 (87.055) Epoch: [79][320/10010] Time 0.321 (0.333) Data 0.001 (0.008) Loss 1.4654 (1.3417) Prec@1 68.750 (68.716) Prec@5 85.938 (87.091) Epoch: [79][330/10010] Time 0.328 (0.333) Data 0.001 (0.008) Loss 1.2015 (1.3410) Prec@1 71.094 (68.715) Prec@5 85.938 (87.122) Epoch: [79][340/10010] Time 0.323 (0.333) Data 0.000 (0.008) Loss 1.3203 (1.3408) Prec@1 68.750 (68.651) Prec@5 87.500 (87.145) Epoch: [79][350/10010] Time 0.339 (0.332) Data 0.001 (0.007) Loss 1.4018 (1.3411) Prec@1 71.094 (68.661) Prec@5 87.500 (87.131) Epoch: [79][360/10010] Time 0.314 (0.332) Data 0.001 (0.007) Loss 1.2112 (1.3403) Prec@1 72.656 (68.668) Prec@5 89.062 (87.171) Epoch: [79][370/10010] Time 0.339 (0.332) Data 0.001 (0.007) Loss 1.0202 (1.3402) Prec@1 78.125 (68.662) Prec@5 91.406 (87.165) Epoch: [79][380/10010] Time 0.340 (0.332) Data 0.001 (0.007) Loss 1.3956 (1.3397) Prec@1 67.969 (68.682) Prec@5 82.812 (87.162) Epoch: [79][390/10010] Time 0.314 (0.332) Data 0.001 (0.007) Loss 1.4023 (1.3396) Prec@1 67.969 (68.676) Prec@5 86.719 (87.168) Epoch: [79][400/10010] Time 0.321 (0.332) Data 0.000 (0.007) Loss 1.3880 (1.3378) Prec@1 67.969 (68.727) Prec@5 86.719 (87.188) Epoch: [79][410/10010] Time 0.326 (0.331) Data 0.003 (0.006) Loss 1.4886 (1.3387) Prec@1 61.719 (68.720) Prec@5 88.281 (87.158) Epoch: [79][420/10010] Time 0.330 (0.331) Data 0.000 (0.006) Loss 1.3507 (1.3381) Prec@1 67.188 (68.715) Prec@5 86.719 (87.185) Epoch: [79][430/10010] Time 0.320 (0.331) Data 0.000 (0.006) Loss 1.3529 (1.3376) Prec@1 65.625 (68.712) Prec@5 85.938 (87.205) Epoch: [79][440/10010] Time 0.313 (0.331) Data 0.001 (0.006) Loss 1.1992 (1.3373) Prec@1 74.219 (68.715) Prec@5 86.719 (87.199) Epoch: [79][450/10010] Time 0.334 (0.331) Data 0.001 (0.006) Loss 1.4632 (1.3368) Prec@1 63.281 (68.714) Prec@5 85.156 (87.195) Epoch: [79][460/10010] Time 0.315 (0.331) Data 0.001 (0.006) Loss 1.2631 (1.3376) Prec@1 75.781 (68.714) Prec@5 88.281 (87.193) Epoch: [79][470/10010] Time 0.332 (0.330) Data 0.001 (0.006) Loss 1.1512 (1.3390) Prec@1 74.219 (68.710) Prec@5 89.062 (87.165) Epoch: [79][480/10010] Time 0.319 (0.330) Data 0.001 (0.006) Loss 1.1300 (1.3391) Prec@1 71.094 (68.722) Prec@5 90.625 (87.175) Epoch: [79][490/10010] Time 0.343 (0.330) Data 0.001 (0.006) Loss 1.1464 (1.3392) Prec@1 70.312 (68.750) Prec@5 90.625 (87.191) Epoch: [79][500/10010] Time 0.332 (0.330) Data 0.001 (0.005) Loss 1.3069 (1.3388) Prec@1 70.312 (68.731) Prec@5 85.156 (87.205) Epoch: [79][510/10010] Time 0.322 (0.330) Data 0.001 (0.005) Loss 1.1272 (1.3401) Prec@1 74.219 (68.687) Prec@5 88.281 (87.167) Epoch: [79][520/10010] Time 0.326 (0.330) Data 0.001 (0.005) Loss 1.5316 (1.3400) Prec@1 64.844 (68.671) Prec@5 85.156 (87.178) Epoch: [79][530/10010] Time 0.327 (0.330) Data 0.000 (0.005) Loss 1.4451 (1.3413) Prec@1 67.969 (68.665) Prec@5 84.375 (87.145) Epoch: [79][540/10010] Time 0.319 (0.330) Data 0.000 (0.005) Loss 1.2281 (1.3396) Prec@1 71.094 (68.698) Prec@5 89.062 (87.161) Epoch: [79][550/10010] Time 0.336 (0.330) Data 0.000 (0.005) Loss 1.4502 (1.3403) Prec@1 67.188 (68.717) Prec@5 84.375 (87.155) Epoch: [79][560/10010] Time 0.335 (0.330) Data 0.000 (0.005) Loss 1.2456 (1.3381) Prec@1 67.969 (68.739) Prec@5 87.500 (87.182) Epoch: [79][570/10010] Time 0.313 (0.330) Data 0.001 (0.005) Loss 1.3239 (1.3381) Prec@1 69.531 (68.749) Prec@5 85.156 (87.178) Epoch: [79][580/10010] Time 0.328 (0.330) Data 0.001 (0.005) Loss 1.4649 (1.3381) Prec@1 62.500 (68.719) Prec@5 87.500 (87.168) Epoch: [79][590/10010] Time 0.318 (0.330) Data 0.001 (0.005) Loss 1.1802 (1.3385) Prec@1 69.531 (68.726) Prec@5 87.500 (87.150) Epoch: [79][600/10010] Time 0.339 (0.330) Data 0.001 (0.005) Loss 1.4106 (1.3389) Prec@1 66.406 (68.719) Prec@5 88.281 (87.144) Epoch: [79][610/10010] Time 0.309 (0.330) Data 0.001 (0.005) Loss 1.4002 (1.3384) Prec@1 66.406 (68.735) Prec@5 87.500 (87.159) Epoch: [79][620/10010] Time 0.338 (0.330) Data 0.001 (0.005) Loss 1.2151 (1.3378) Prec@1 71.875 (68.745) Prec@5 87.500 (87.153) Epoch: [79][630/10010] Time 0.331 (0.330) Data 0.001 (0.004) Loss 1.4287 (1.3371) Prec@1 63.281 (68.754) Prec@5 88.281 (87.168) Epoch: [79][640/10010] Time 0.339 (0.330) Data 0.001 (0.004) Loss 1.5385 (1.3377) Prec@1 60.938 (68.745) Prec@5 86.719 (87.171) Epoch: [79][650/10010] Time 0.319 (0.330) Data 0.001 (0.004) Loss 1.5033 (1.3372) Prec@1 65.625 (68.755) Prec@5 86.719 (87.170) Epoch: [79][660/10010] Time 0.333 (0.329) Data 0.001 (0.004) Loss 1.4905 (1.3371) Prec@1 64.062 (68.750) Prec@5 82.812 (87.161) Epoch: [79][670/10010] Time 0.326 (0.330) Data 0.001 (0.004) Loss 1.5076 (1.3372) Prec@1 63.281 (68.743) Prec@5 83.594 (87.154) Epoch: [79][680/10010] Time 0.317 (0.329) Data 0.001 (0.004) Loss 1.4267 (1.3374) Prec@1 66.406 (68.735) Prec@5 85.938 (87.158) Epoch: [79][690/10010] Time 0.343 (0.329) Data 0.000 (0.004) Loss 1.0895 (1.3372) Prec@1 75.000 (68.749) Prec@5 91.406 (87.151) Epoch: [79][700/10010] Time 0.316 (0.329) Data 0.001 (0.004) Loss 1.3572 (1.3360) Prec@1 70.312 (68.764) Prec@5 83.594 (87.156) Epoch: [79][710/10010] Time 0.321 (0.329) Data 0.001 (0.004) Loss 1.3178 (1.3346) Prec@1 71.094 (68.795) Prec@5 85.938 (87.167) Epoch: [79][720/10010] Time 0.327 (0.329) Data 0.001 (0.004) Loss 1.3122 (1.3350) Prec@1 70.312 (68.785) Prec@5 85.938 (87.146) Epoch: [79][730/10010] Time 0.332 (0.329) Data 0.001 (0.004) Loss 1.2545 (1.3352) Prec@1 71.875 (68.783) Prec@5 87.500 (87.151) Epoch: [79][740/10010] Time 0.319 (0.329) Data 0.001 (0.004) Loss 1.2260 (1.3351) Prec@1 71.094 (68.788) Prec@5 90.625 (87.155) Epoch: [79][750/10010] Time 0.326 (0.329) Data 0.001 (0.004) Loss 1.3403 (1.3354) Prec@1 71.094 (68.802) Prec@5 89.062 (87.154) Epoch: [79][760/10010] Time 0.336 (0.329) Data 0.001 (0.004) Loss 1.4824 (1.3347) Prec@1 64.844 (68.812) Prec@5 84.375 (87.162) Epoch: [79][770/10010] Time 0.323 (0.329) Data 0.001 (0.004) Loss 1.0640 (1.3345) Prec@1 71.094 (68.820) Prec@5 89.844 (87.169) Epoch: [79][780/10010] Time 0.322 (0.329) Data 0.001 (0.004) Loss 1.3814 (1.3345) Prec@1 71.094 (68.826) Prec@5 87.500 (87.167) Epoch: [79][790/10010] Time 0.338 (0.329) Data 0.000 (0.004) Loss 1.2659 (1.3352) Prec@1 72.656 (68.821) Prec@5 88.281 (87.149) Epoch: [79][800/10010] Time 0.338 (0.329) Data 0.001 (0.004) Loss 1.4089 (1.3361) Prec@1 67.969 (68.788) Prec@5 85.938 (87.140) Epoch: [79][810/10010] Time 0.337 (0.329) Data 0.001 (0.004) Loss 1.2984 (1.3367) Prec@1 68.750 (68.752) Prec@5 89.062 (87.140) Epoch: [79][820/10010] Time 0.315 (0.329) Data 0.001 (0.004) Loss 1.3910 (1.3366) Prec@1 66.406 (68.768) Prec@5 83.594 (87.139) Epoch: [79][830/10010] Time 0.331 (0.329) Data 0.001 (0.004) Loss 1.2956 (1.3365) Prec@1 68.750 (68.760) Prec@5 87.500 (87.129) Epoch: [79][840/10010] Time 0.334 (0.329) Data 0.001 (0.004) Loss 1.4802 (1.3363) Prec@1 67.188 (68.765) Prec@5 87.500 (87.127) Epoch: [79][850/10010] Time 0.320 (0.329) Data 0.001 (0.003) Loss 1.1735 (1.3364) Prec@1 69.531 (68.772) Prec@5 92.188 (87.132) /data/vision/torralba/deepscene/lib/anaconda2/lib/python2.7/site-packages/PIL/TiffImagePlugin.py:692: UserWarning: Possibly corrupt EXIF data. Expecting to read 19660800 bytes but only got 0. Skipping tag 0 "Skipping tag %s" % (size, len(data), tag)) /data/vision/torralba/deepscene/lib/anaconda2/lib/python2.7/site-packages/PIL/TiffImagePlugin.py:692: UserWarning: Possibly corrupt EXIF data. Expecting to read 18481152 bytes but only got 0. Skipping tag 0 "Skipping tag %s" % (size, len(data), tag)) /data/vision/torralba/deepscene/lib/anaconda2/lib/python2.7/site-packages/PIL/TiffImagePlugin.py:692: UserWarning: Possibly corrupt EXIF data. Expecting to read 37093376 bytes but only got 0. Skipping tag 0 "Skipping tag %s" % (size, len(data), tag)) /data/vision/torralba/deepscene/lib/anaconda2/lib/python2.7/site-packages/PIL/TiffImagePlugin.py:692: UserWarning: Possibly corrupt EXIF data. Expecting to read 39976960 bytes but only got 0. Skipping tag 0 "Skipping tag %s" % (size, len(data), tag)) /data/vision/torralba/deepscene/lib/anaconda2/lib/python2.7/site-packages/PIL/TiffImagePlugin.py:692: UserWarning: Possibly corrupt EXIF data. Expecting to read 34865152 bytes but only got 0. Skipping tag 0 "Skipping tag %s" % (size, len(data), tag)) /data/vision/torralba/deepscene/lib/anaconda2/lib/python2.7/site-packages/PIL/TiffImagePlugin.py:709: UserWarning: Corrupt EXIF data. Expecting to read 12 bytes but only got 10. warnings.warn(str(msg)) Epoch: [79][860/10010] Time 0.331 (0.329) Data 0.001 (0.003) Loss 1.2024 (1.3360) Prec@1 71.094 (68.790) Prec@5 89.844 (87.136) Epoch: [79][870/10010] Time 0.339 (0.329) Data 0.001 (0.003) Loss 1.2874 (1.3368) Prec@1 66.406 (68.770) Prec@5 89.062 (87.124) Epoch: [79][880/10010] Time 0.337 (0.329) Data 0.001 (0.003) Loss 1.4648 (1.3369) Prec@1 67.188 (68.764) Prec@5 86.719 (87.128) Epoch: [79][890/10010] Time 0.326 (0.329) Data 0.001 (0.003) Loss 1.3639 (1.3373) Prec@1 70.312 (68.748) Prec@5 84.375 (87.119) Epoch: [79][900/10010] Time 0.339 (0.329) Data 0.001 (0.003) Loss 1.2161 (1.3371) Prec@1 70.312 (68.728) Prec@5 87.500 (87.121) Epoch: [79][910/10010] Time 0.331 (0.329) Data 0.001 (0.003) Loss 1.2147 (1.3366) Prec@1 72.656 (68.741) Prec@5 90.625 (87.130) Epoch: [79][920/10010] Time 0.318 (0.329) Data 0.001 (0.003) Loss 1.4653 (1.3368) Prec@1 62.500 (68.751) Prec@5 84.375 (87.124) Epoch: [79][930/10010] Time 0.342 (0.329) Data 0.001 (0.003) Loss 1.1740 (1.3364) Prec@1 70.312 (68.768) Prec@5 89.062 (87.127) Epoch: [79][940/10010] Time 0.333 (0.329) Data 0.001 (0.003) Loss 1.2547 (1.3366) Prec@1 66.406 (68.766) Prec@5 85.938 (87.125) Epoch: [79][950/10010] Time 0.322 (0.329) Data 0.000 (0.003) Loss 1.4198 (1.3377) Prec@1 65.625 (68.746) Prec@5 85.938 (87.108) Epoch: [79][960/10010] Time 0.338 (0.329) Data 0.001 (0.003) Loss 1.2242 (1.3383) Prec@1 70.312 (68.757) Prec@5 88.281 (87.092) Epoch: [79][970/10010] Time 0.314 (0.329) Data 0.000 (0.003) Loss 1.5919 (1.3395) Prec@1 60.938 (68.728) Prec@5 82.812 (87.082) Epoch: [79][980/10010] Time 0.326 (0.329) Data 0.001 (0.003) Loss 1.2700 (1.3392) Prec@1 69.531 (68.740) Prec@5 89.062 (87.087) Epoch: [79][990/10010] Time 0.333 (0.329) Data 0.001 (0.003) Loss 1.3900 (1.3396) Prec@1 67.969 (68.742) Prec@5 85.938 (87.085) Epoch: [79][1000/10010] Time 0.328 (0.329) Data 0.001 (0.003) Loss 1.6064 (1.3399) Prec@1 66.406 (68.733) Prec@5 80.469 (87.086) Epoch: [79][1010/10010] Time 0.331 (0.329) Data 0.000 (0.003) Loss 1.1876 (1.3398) Prec@1 67.188 (68.733) Prec@5 87.500 (87.096) Epoch: [79][1020/10010] Time 0.332 (0.329) Data 0.001 (0.003) Loss 1.2714 (1.3403) Prec@1 65.625 (68.721) Prec@5 89.062 (87.088) Epoch: [79][1030/10010] Time 0.333 (0.329) Data 0.001 (0.003) Loss 1.5666 (1.3400) Prec@1 64.062 (68.724) Prec@5 82.812 (87.085) Epoch: [79][1040/10010] Time 0.317 (0.329) Data 0.001 (0.003) Loss 1.5452 (1.3402) Prec@1 67.188 (68.724) Prec@5 85.156 (87.073) Epoch: [79][1050/10010] Time 0.319 (0.329) Data 0.001 (0.003) Loss 1.5780 (1.3401) Prec@1 61.719 (68.735) Prec@5 85.938 (87.071) Epoch: [79][1060/10010] Time 0.339 (0.329) Data 0.000 (0.003) Loss 1.2998 (1.3409) Prec@1 68.750 (68.713) Prec@5 88.281 (87.060) Epoch: [79][1070/10010] Time 0.340 (0.329) Data 0.001 (0.003) Loss 1.4575 (1.3415) Prec@1 66.406 (68.706) Prec@5 85.156 (87.046) Epoch: [79][1080/10010] Time 0.338 (0.329) Data 0.001 (0.003) Loss 1.2519 (1.3399) Prec@1 75.000 (68.741) Prec@5 87.500 (87.063) Epoch: [79][1090/10010] Time 0.320 (0.329) Data 0.000 (0.003) Loss 1.4053 (1.3395) Prec@1 67.969 (68.762) Prec@5 84.375 (87.059) Epoch: [79][1100/10010] Time 0.333 (0.329) Data 0.001 (0.003) Loss 1.4597 (1.3400) Prec@1 65.625 (68.739) Prec@5 83.594 (87.047) Epoch: [79][1110/10010] Time 0.325 (0.329) Data 0.000 (0.003) Loss 1.0353 (1.3403) Prec@1 73.438 (68.742) Prec@5 90.625 (87.042) Epoch: [79][1120/10010] Time 0.331 (0.329) Data 0.000 (0.003) Loss 1.5194 (1.3407) Prec@1 64.062 (68.730) Prec@5 83.594 (87.041) Epoch: [79][1130/10010] Time 0.341 (0.329) Data 0.000 (0.003) Loss 1.4261 (1.3411) Prec@1 69.531 (68.745) Prec@5 87.500 (87.036) Epoch: [79][1140/10010] Time 0.336 (0.329) Data 0.001 (0.003) Loss 1.5519 (1.3409) Prec@1 64.062 (68.749) Prec@5 83.594 (87.032) Epoch: [79][1150/10010] Time 0.328 (0.329) Data 0.001 (0.003) Loss 1.3830 (1.3415) Prec@1 68.750 (68.736) Prec@5 86.719 (87.021) Epoch: [79][1160/10010] Time 0.340 (0.329) Data 0.001 (0.003) Loss 1.2566 (1.3418) Prec@1 67.969 (68.732) Prec@5 90.625 (87.021) Epoch: [79][1170/10010] Time 0.321 (0.329) Data 0.000 (0.003) Loss 1.1084 (1.3409) Prec@1 71.875 (68.755) Prec@5 89.844 (87.034) Epoch: [79][1180/10010] Time 0.322 (0.329) Data 0.001 (0.003) Loss 1.4689 (1.3420) Prec@1 69.531 (68.740) Prec@5 84.375 (87.025) Epoch: [79][1190/10010] Time 0.329 (0.329) Data 0.001 (0.003) Loss 1.5102 (1.3417) Prec@1 67.188 (68.753) Prec@5 85.156 (87.025) Epoch: [79][1200/10010] Time 0.337 (0.329) Data 0.001 (0.003) Loss 1.4559 (1.3414) Prec@1 68.750 (68.759) Prec@5 88.281 (87.036) Epoch: [79][1210/10010] Time 0.315 (0.329) Data 0.001 (0.003) Loss 1.5651 (1.3413) Prec@1 64.844 (68.769) Prec@5 85.156 (87.032) Epoch: [79][1220/10010] Time 0.327 (0.329) Data 0.001 (0.003) Loss 1.2562 (1.3409) Prec@1 70.312 (68.784) Prec@5 87.500 (87.043) Epoch: [79][1230/10010] Time 0.331 (0.329) Data 0.000 (0.003) Loss 1.4880 (1.3413) Prec@1 70.312 (68.774) Prec@5 85.156 (87.037) Epoch: [79][1240/10010] Time 0.336 (0.329) Data 0.000 (0.003) Loss 1.3808 (1.3413) Prec@1 75.000 (68.781) Prec@5 85.156 (87.035) Epoch: [79][1250/10010] Time 0.329 (0.329) Data 0.001 (0.003) Loss 1.0188 (1.3411) Prec@1 73.438 (68.786) Prec@5 93.750 (87.038) Epoch: [79][1260/10010] Time 0.326 (0.329) Data 0.000 (0.003) Loss 1.5031 (1.3419) Prec@1 67.969 (68.767) Prec@5 85.938 (87.034) Epoch: [79][1270/10010] Time 0.329 (0.329) Data 0.001 (0.003) Loss 1.3541 (1.3419) Prec@1 69.531 (68.764) Prec@5 89.844 (87.031) Epoch: [79][1280/10010] Time 0.336 (0.329) Data 0.001 (0.003) Loss 1.5012 (1.3415) Prec@1 65.625 (68.770) Prec@5 82.031 (87.037) Epoch: [79][1290/10010] Time 0.331 (0.329) Data 0.001 (0.003) Loss 1.4579 (1.3419) Prec@1 64.062 (68.758) Prec@5 84.375 (87.024) Epoch: [79][1300/10010] Time 0.320 (0.329) Data 0.001 (0.003) Loss 1.3943 (1.3427) Prec@1 60.938 (68.742) Prec@5 87.500 (87.020) Epoch: [79][1310/10010] Time 0.328 (0.329) Data 0.001 (0.002) Loss 1.4805 (1.3430) Prec@1 65.625 (68.732) Prec@5 85.938 (87.013) Epoch: [79][1320/10010] Time 0.340 (0.329) Data 0.000 (0.002) Loss 1.3961 (1.3430) Prec@1 70.312 (68.735) Prec@5 82.031 (87.005) Epoch: [79][1330/10010] Time 0.315 (0.329) Data 0.001 (0.002) Loss 1.3928 (1.3433) Prec@1 70.312 (68.726) Prec@5 83.594 (86.998) Epoch: [79][1340/10010] Time 0.318 (0.329) Data 0.001 (0.002) Loss 1.4943 (1.3439) Prec@1 64.844 (68.720) Prec@5 82.031 (86.985) Epoch: [79][1350/10010] Time 0.335 (0.329) Data 0.001 (0.002) Loss 1.4764 (1.3446) Prec@1 69.531 (68.705) Prec@5 85.156 (86.976) Epoch: [79][1360/10010] Time 0.320 (0.329) Data 0.000 (0.002) Loss 1.0538 (1.3445) Prec@1 72.656 (68.714) Prec@5 92.188 (86.982) Epoch: [79][1370/10010] Time 0.330 (0.329) Data 0.001 (0.002) Loss 1.7373 (1.3446) Prec@1 64.844 (68.724) Prec@5 84.375 (86.986) Epoch: [79][1380/10010] Time 0.335 (0.329) Data 0.001 (0.002) Loss 1.6545 (1.3449) Prec@1 61.719 (68.719) Prec@5 82.812 (86.982) Epoch: [79][1390/10010] Time 0.317 (0.329) Data 0.001 (0.002) Loss 1.2281 (1.3460) Prec@1 73.438 (68.697) Prec@5 90.625 (86.970) Epoch: [79][1400/10010] Time 0.335 (0.329) Data 0.000 (0.002) Loss 1.4193 (1.3461) Prec@1 64.844 (68.688) Prec@5 85.938 (86.964) Epoch: [79][1410/10010] Time 0.332 (0.329) Data 0.001 (0.002) Loss 1.3167 (1.3465) Prec@1 70.312 (68.685) Prec@5 89.062 (86.953) Epoch: [79][1420/10010] Time 0.323 (0.329) Data 0.001 (0.002) Loss 1.5631 (1.3459) Prec@1 58.594 (68.687) Prec@5 86.719 (86.968) Epoch: [79][1430/10010] Time 0.341 (0.329) Data 0.000 (0.002) Loss 1.2480 (1.3459) Prec@1 69.531 (68.682) Prec@5 89.062 (86.970) Epoch: [79][1440/10010] Time 0.324 (0.329) Data 0.001 (0.002) Loss 1.4644 (1.3457) Prec@1 68.750 (68.682) Prec@5 83.594 (86.977) Epoch: [79][1450/10010] Time 0.324 (0.329) Data 0.001 (0.002) Loss 1.6622 (1.3456) Prec@1 62.500 (68.691) Prec@5 82.812 (86.980) Epoch: [79][1460/10010] Time 0.335 (0.329) Data 0.000 (0.002) Loss 1.2841 (1.3455) Prec@1 69.531 (68.692) Prec@5 89.062 (86.983) Epoch: [79][1470/10010] Time 0.321 (0.329) Data 0.001 (0.002) Loss 1.5865 (1.3456) Prec@1 64.844 (68.692) Prec@5 85.156 (86.985) Epoch: [79][1480/10010] Time 0.318 (0.329) Data 0.001 (0.002) Loss 1.4400 (1.3463) Prec@1 68.750 (68.679) Prec@5 88.281 (86.978) Epoch: [79][1490/10010] Time 0.319 (0.329) Data 0.001 (0.002) Loss 1.3030 (1.3464) Prec@1 67.969 (68.670) Prec@5 87.500 (86.988) Epoch: [79][1500/10010] Time 0.334 (0.329) Data 0.000 (0.002) Loss 1.4932 (1.3466) Prec@1 64.062 (68.666) Prec@5 85.156 (86.982) Epoch: [79][1510/10010] Time 0.330 (0.329) Data 0.001 (0.002) Loss 1.7443 (1.3470) Prec@1 60.156 (68.647) Prec@5 85.938 (86.979) Epoch: [79][1520/10010] Time 0.312 (0.329) Data 0.001 (0.002) Loss 1.2165 (1.3469) Prec@1 74.219 (68.648) Prec@5 89.062 (86.978) Epoch: [79][1530/10010] Time 0.317 (0.329) Data 0.001 (0.002) Loss 1.4458 (1.3470) Prec@1 64.844 (68.646) Prec@5 85.938 (86.983) Epoch: [79][1540/10010] Time 0.324 (0.329) Data 0.001 (0.002) Loss 1.4391 (1.3473) Prec@1 67.188 (68.643) Prec@5 85.938 (86.980) Epoch: [79][1550/10010] Time 0.343 (0.329) Data 0.001 (0.002) Loss 1.4434 (1.3472) Prec@1 70.312 (68.642) Prec@5 87.500 (86.978) Epoch: [79][1560/10010] Time 0.315 (0.328) Data 0.000 (0.002) Loss 1.5023 (1.3475) Prec@1 67.969 (68.633) Prec@5 82.031 (86.972) Epoch: [79][1570/10010] Time 0.316 (0.328) Data 0.001 (0.002) Loss 1.3908 (1.3475) Prec@1 66.406 (68.633) Prec@5 86.719 (86.975) Epoch: [79][1580/10010] Time 0.332 (0.328) Data 0.001 (0.002) Loss 1.2688 (1.3476) Prec@1 67.969 (68.633) Prec@5 86.719 (86.972) Epoch: [79][1590/10010] Time 0.326 (0.328) Data 0.001 (0.002) Loss 1.5769 (1.3473) Prec@1 63.281 (68.642) Prec@5 86.719 (86.975) Epoch: [79][1600/10010] Time 0.328 (0.328) Data 0.001 (0.002) Loss 1.4815 (1.3475) Prec@1 69.531 (68.642) Prec@5 85.938 (86.971) Epoch: [79][1610/10010] Time 0.319 (0.328) Data 0.000 (0.002) Loss 1.3069 (1.3473) Prec@1 71.875 (68.645) Prec@5 86.719 (86.975) Epoch: [79][1620/10010] Time 0.334 (0.328) Data 0.000 (0.002) Loss 1.2738 (1.3473) Prec@1 66.406 (68.645) Prec@5 88.281 (86.979) Epoch: [79][1630/10010] Time 0.315 (0.328) Data 0.000 (0.002) Loss 1.5569 (1.3475) Prec@1 64.062 (68.641) Prec@5 83.594 (86.975) Epoch: [79][1640/10010] Time 0.320 (0.328) Data 0.001 (0.002) Loss 1.2128 (1.3473) Prec@1 74.219 (68.645) Prec@5 88.281 (86.975) Epoch: [79][1650/10010] Time 0.328 (0.328) Data 0.000 (0.002) Loss 1.6656 (1.3475) Prec@1 65.625 (68.645) Prec@5 84.375 (86.969) Epoch: [79][1660/10010] Time 0.332 (0.328) Data 0.001 (0.002) Loss 1.3707 (1.3474) Prec@1 66.406 (68.648) Prec@5 86.719 (86.968) Epoch: [79][1670/10010] Time 0.331 (0.328) Data 0.001 (0.002) Loss 1.2901 (1.3476) Prec@1 64.062 (68.639) Prec@5 91.406 (86.967) Epoch: [79][1680/10010] Time 0.322 (0.328) Data 0.000 (0.002) Loss 1.1525 (1.3476) Prec@1 73.438 (68.646) Prec@5 89.062 (86.973) Epoch: [79][1690/10010] Time 0.339 (0.328) Data 0.000 (0.002) Loss 1.4148 (1.3480) Prec@1 70.312 (68.642) Prec@5 84.375 (86.966) Epoch: [79][1700/10010] Time 0.329 (0.328) Data 0.001 (0.002) Loss 1.2794 (1.3483) Prec@1 73.438 (68.643) Prec@5 86.719 (86.965) Epoch: [79][1710/10010] Time 0.329 (0.328) Data 0.001 (0.002) Loss 1.1924 (1.3477) Prec@1 65.625 (68.655) Prec@5 91.406 (86.976) Epoch: [79][1720/10010] Time 0.320 (0.328) Data 0.000 (0.002) Loss 1.1724 (1.3479) Prec@1 72.656 (68.651) Prec@5 89.062 (86.979) Epoch: [79][1730/10010] Time 0.322 (0.328) Data 0.001 (0.002) Loss 1.3560 (1.3474) Prec@1 75.000 (68.667) Prec@5 84.375 (86.981) Epoch: [79][1740/10010] Time 0.335 (0.328) Data 0.001 (0.002) Loss 1.1706 (1.3479) Prec@1 75.781 (68.654) Prec@5 89.844 (86.975) Epoch: [79][1750/10010] Time 0.340 (0.328) Data 0.001 (0.002) Loss 1.1704 (1.3473) Prec@1 71.094 (68.659) Prec@5 90.625 (86.981) Epoch: [79][1760/10010] Time 0.313 (0.328) Data 0.001 (0.002) Loss 1.3673 (1.3471) Prec@1 69.531 (68.664) Prec@5 85.938 (86.984) Epoch: [79][1770/10010] Time 0.332 (0.328) Data 0.001 (0.002) Loss 1.2209 (1.3473) Prec@1 71.094 (68.662) Prec@5 89.844 (86.981) Epoch: [79][1780/10010] Time 0.319 (0.328) Data 0.001 (0.002) Loss 1.3735 (1.3471) Prec@1 68.750 (68.664) Prec@5 85.938 (86.981) Epoch: [79][1790/10010] Time 0.320 (0.328) Data 0.001 (0.002) Loss 1.5423 (1.3473) Prec@1 67.969 (68.661) Prec@5 87.500 (86.987) Epoch: [79][1800/10010] Time 0.319 (0.328) Data 0.000 (0.002) Loss 1.5491 (1.3472) Prec@1 60.938 (68.662) Prec@5 81.250 (86.989) Epoch: [79][1810/10010] Time 0.318 (0.328) Data 0.001 (0.002) Loss 1.6723 (1.3476) Prec@1 60.156 (68.661) Prec@5 81.250 (86.985) Epoch: [79][1820/10010] Time 0.327 (0.328) Data 0.001 (0.002) Loss 1.3005 (1.3477) Prec@1 71.094 (68.656) Prec@5 88.281 (86.986) Epoch: [79][1830/10010] Time 0.338 (0.328) Data 0.001 (0.002) Loss 0.9831 (1.3472) Prec@1 78.125 (68.667) Prec@5 90.625 (86.994) Epoch: [79][1840/10010] Time 0.329 (0.328) Data 0.001 (0.002) Loss 1.1423 (1.3472) Prec@1 75.000 (68.659) Prec@5 89.844 (86.999) Epoch: [79][1850/10010] Time 0.338 (0.328) Data 0.001 (0.002) Loss 1.3811 (1.3470) Prec@1 63.281 (68.655) Prec@5 86.719 (86.999) Epoch: [79][1860/10010] Time 0.342 (0.328) Data 0.000 (0.002) Loss 1.2681 (1.3467) Prec@1 70.312 (68.666) Prec@5 88.281 (87.001) Epoch: [79][1870/10010] Time 0.333 (0.328) Data 0.000 (0.002) Loss 1.3330 (1.3466) Prec@1 67.969 (68.666) Prec@5 86.719 (87.005) Epoch: [79][1880/10010] Time 0.339 (0.328) Data 0.001 (0.002) Loss 1.4532 (1.3463) Prec@1 71.875 (68.677) Prec@5 82.812 (87.011) Epoch: [79][1890/10010] Time 0.314 (0.328) Data 0.001 (0.002) Loss 1.5361 (1.3464) Prec@1 65.625 (68.669) Prec@5 82.031 (87.007) Epoch: [79][1900/10010] Time 0.320 (0.328) Data 0.000 (0.002) Loss 1.4400 (1.3463) Prec@1 66.406 (68.669) Prec@5 88.281 (87.012) Epoch: [79][1910/10010] Time 0.338 (0.328) Data 0.001 (0.002) Loss 1.4343 (1.3464) Prec@1 67.969 (68.670) Prec@5 87.500 (87.016) Epoch: [79][1920/10010] Time 0.338 (0.328) Data 0.001 (0.002) Loss 1.4564 (1.3462) Prec@1 68.750 (68.669) Prec@5 84.375 (87.019) Epoch: [79][1930/10010] Time 0.313 (0.328) Data 0.001 (0.002) Loss 1.2366 (1.3461) Prec@1 74.219 (68.680) Prec@5 91.406 (87.025) Epoch: [79][1940/10010] Time 0.328 (0.328) Data 0.000 (0.002) Loss 1.2979 (1.3461) Prec@1 68.750 (68.674) Prec@5 85.938 (87.021) Epoch: [79][1950/10010] Time 0.323 (0.328) Data 0.001 (0.002) Loss 1.1838 (1.3461) Prec@1 68.750 (68.672) Prec@5 89.062 (87.021) Epoch: [79][1960/10010] Time 0.320 (0.328) Data 0.001 (0.002) Loss 1.5547 (1.3464) Prec@1 62.500 (68.676) Prec@5 87.500 (87.022) Epoch: [79][1970/10010] Time 0.333 (0.328) Data 0.001 (0.002) Loss 1.2729 (1.3465) Prec@1 68.750 (68.672) Prec@5 88.281 (87.020) Epoch: [79][1980/10010] Time 0.322 (0.328) Data 0.001 (0.002) Loss 1.4513 (1.3468) Prec@1 64.062 (68.662) Prec@5 83.594 (87.013) Epoch: [79][1990/10010] Time 0.328 (0.328) Data 0.001 (0.002) Loss 1.3725 (1.3467) Prec@1 67.969 (68.664) Prec@5 85.938 (87.010) Epoch: [79][2000/10010] Time 0.326 (0.328) Data 0.000 (0.002) Loss 1.3405 (1.3466) Prec@1 65.625 (68.670) Prec@5 85.938 (87.011) Epoch: [79][2010/10010] Time 0.325 (0.328) Data 0.001 (0.002) Loss 1.0786 (1.3464) Prec@1 71.094 (68.677) Prec@5 91.406 (87.016) Epoch: [79][2020/10010] Time 0.330 (0.328) Data 0.001 (0.002) Loss 1.6368 (1.3463) Prec@1 64.844 (68.677) Prec@5 82.812 (87.016) Epoch: [79][2030/10010] Time 0.328 (0.328) Data 0.001 (0.002) Loss 1.6679 (1.3469) Prec@1 57.812 (68.658) Prec@5 85.156 (87.012) Epoch: [79][2040/10010] Time 0.338 (0.328) Data 0.000 (0.002) Loss 1.5745 (1.3469) Prec@1 64.844 (68.656) Prec@5 80.469 (87.013) Epoch: [79][2050/10010] Time 0.329 (0.328) Data 0.000 (0.002) Loss 1.4572 (1.3472) Prec@1 67.188 (68.641) Prec@5 85.156 (87.010) Epoch: [79][2060/10010] Time 0.339 (0.328) Data 0.000 (0.002) Loss 1.3843 (1.3471) Prec@1 65.625 (68.636) Prec@5 86.719 (87.012) Epoch: [79][2070/10010] Time 0.323 (0.328) Data 0.000 (0.002) Loss 1.2851 (1.3468) Prec@1 72.656 (68.644) Prec@5 84.375 (87.010) Epoch: [79][2080/10010] Time 0.322 (0.328) Data 0.000 (0.002) Loss 1.4396 (1.3469) Prec@1 66.406 (68.645) Prec@5 86.719 (87.009) Epoch: [79][2090/10010] Time 0.341 (0.328) Data 0.001 (0.002) Loss 1.2914 (1.3472) Prec@1 68.750 (68.640) Prec@5 89.062 (87.004) Epoch: [79][2100/10010] Time 0.343 (0.328) Data 0.001 (0.002) Loss 1.2778 (1.3471) Prec@1 68.750 (68.640) Prec@5 87.500 (87.010) Epoch: [79][2110/10010] Time 0.313 (0.328) Data 0.001 (0.002) Loss 1.0123 (1.3468) Prec@1 79.688 (68.647) Prec@5 91.406 (87.018) Epoch: [79][2120/10010] Time 0.332 (0.328) Data 0.000 (0.002) Loss 1.2106 (1.3465) Prec@1 71.875 (68.653) Prec@5 88.281 (87.017) Epoch: [79][2130/10010] Time 0.317 (0.328) Data 0.001 (0.002) Loss 1.1926 (1.3463) Prec@1 77.344 (68.657) Prec@5 89.844 (87.020) Epoch: [79][2140/10010] Time 0.318 (0.328) Data 0.001 (0.002) Loss 1.3047 (1.3462) Prec@1 69.531 (68.657) Prec@5 88.281 (87.020) Epoch: [79][2150/10010] Time 0.327 (0.328) Data 0.001 (0.002) Loss 1.3555 (1.3461) Prec@1 65.625 (68.652) Prec@5 88.281 (87.024) Epoch: [79][2160/10010] Time 0.323 (0.328) Data 0.000 (0.002) Loss 1.2562 (1.3468) Prec@1 67.969 (68.642) Prec@5 85.156 (87.012) Epoch: [79][2170/10010] Time 0.338 (0.328) Data 0.001 (0.002) Loss 1.4024 (1.3463) Prec@1 69.531 (68.657) Prec@5 84.375 (87.020) Epoch: [79][2180/10010] Time 0.327 (0.328) Data 0.000 (0.002) Loss 1.3487 (1.3464) Prec@1 62.500 (68.652) Prec@5 88.281 (87.018) Epoch: [79][2190/10010] Time 0.328 (0.328) Data 0.001 (0.002) Loss 1.5084 (1.3465) Prec@1 71.094 (68.654) Prec@5 86.719 (87.019) Epoch: [79][2200/10010] Time 0.316 (0.328) Data 0.001 (0.002) Loss 1.2910 (1.3459) Prec@1 72.656 (68.670) Prec@5 87.500 (87.031) Epoch: [79][2210/10010] Time 0.336 (0.328) Data 0.001 (0.002) Loss 1.2435 (1.3458) Prec@1 73.438 (68.673) Prec@5 87.500 (87.029) Epoch: [79][2220/10010] Time 0.322 (0.328) Data 0.001 (0.002) Loss 1.3979 (1.3459) Prec@1 66.406 (68.668) Prec@5 89.844 (87.028) Epoch: [79][2230/10010] Time 0.334 (0.328) Data 0.001 (0.002) Loss 1.4735 (1.3462) Prec@1 64.844 (68.663) Prec@5 84.375 (87.024) Epoch: [79][2240/10010] Time 0.319 (0.328) Data 0.001 (0.002) Loss 1.4751 (1.3463) Prec@1 66.406 (68.658) Prec@5 88.281 (87.023) Epoch: [79][2250/10010] Time 0.331 (0.328) Data 0.001 (0.002) Loss 1.5223 (1.3463) Prec@1 69.531 (68.664) Prec@5 84.375 (87.030) Epoch: [79][2260/10010] Time 0.328 (0.328) Data 0.000 (0.002) Loss 1.5093 (1.3464) Prec@1 66.406 (68.667) Prec@5 81.250 (87.027) Epoch: [79][2270/10010] Time 0.311 (0.328) Data 0.001 (0.002) Loss 1.5138 (1.3463) Prec@1 61.719 (68.667) Prec@5 84.375 (87.028) Epoch: [79][2280/10010] Time 0.338 (0.328) Data 0.000 (0.002) Loss 1.3981 (1.3465) Prec@1 66.406 (68.660) Prec@5 85.156 (87.024) Epoch: [79][2290/10010] Time 0.323 (0.328) Data 0.001 (0.002) Loss 1.3730 (1.3465) Prec@1 68.750 (68.660) Prec@5 85.156 (87.025) Epoch: [79][2300/10010] Time 0.323 (0.328) Data 0.001 (0.002) Loss 1.5583 (1.3470) Prec@1 68.750 (68.657) Prec@5 83.594 (87.017) Epoch: [79][2310/10010] Time 0.335 (0.328) Data 0.001 (0.002) Loss 1.3299 (1.3474) Prec@1 68.750 (68.645) Prec@5 88.281 (87.014) Epoch: [79][2320/10010] Time 0.333 (0.328) Data 0.000 (0.002) Loss 1.3791 (1.3473) Prec@1 73.438 (68.645) Prec@5 87.500 (87.015) Epoch: [79][2330/10010] Time 0.340 (0.328) Data 0.000 (0.002) Loss 1.3490 (1.3471) Prec@1 64.062 (68.648) Prec@5 90.625 (87.015) Epoch: [79][2340/10010] Time 0.319 (0.328) Data 0.001 (0.002) Loss 1.6924 (1.3473) Prec@1 62.500 (68.645) Prec@5 82.031 (87.011) Epoch: [79][2350/10010] Time 0.323 (0.328) Data 0.001 (0.002) Loss 1.2495 (1.3474) Prec@1 72.656 (68.641) Prec@5 89.062 (87.013) Epoch: [79][2360/10010] Time 0.324 (0.328) Data 0.001 (0.002) Loss 1.4998 (1.3475) Prec@1 64.844 (68.640) Prec@5 83.594 (87.012) Epoch: [79][2370/10010] Time 0.315 (0.328) Data 0.001 (0.002) Loss 1.3073 (1.3476) Prec@1 69.531 (68.643) Prec@5 89.844 (87.012) Epoch: [79][2380/10010] Time 0.329 (0.328) Data 0.001 (0.002) Loss 1.3133 (1.3479) Prec@1 69.531 (68.635) Prec@5 85.938 (87.010) Epoch: [79][2390/10010] Time 0.312 (0.328) Data 0.001 (0.002) Loss 1.4597 (1.3483) Prec@1 65.625 (68.626) Prec@5 86.719 (87.003) Epoch: [79][2400/10010] Time 0.320 (0.328) Data 0.000 (0.002) Loss 1.2393 (1.3486) Prec@1 72.656 (68.623) Prec@5 89.844 (87.000) Epoch: [79][2410/10010] Time 0.338 (0.328) Data 0.000 (0.002) Loss 1.1702 (1.3487) Prec@1 72.656 (68.621) Prec@5 89.062 (86.995) Epoch: [79][2420/10010] Time 0.326 (0.328) Data 0.001 (0.002) Loss 1.3296 (1.3485) Prec@1 68.750 (68.620) Prec@5 85.156 (86.998) Epoch: [79][2430/10010] Time 0.323 (0.328) Data 0.001 (0.002) Loss 1.3725 (1.3486) Prec@1 69.531 (68.627) Prec@5 85.938 (86.999) Epoch: [79][2440/10010] Time 0.333 (0.328) Data 0.000 (0.002) Loss 1.3090 (1.3483) Prec@1 73.438 (68.637) Prec@5 88.281 (87.002) Epoch: [79][2450/10010] Time 0.323 (0.328) Data 0.001 (0.002) Loss 1.2042 (1.3487) Prec@1 74.219 (68.625) Prec@5 91.406 (87.001) Epoch: [79][2460/10010] Time 0.323 (0.328) Data 0.000 (0.002) Loss 1.2806 (1.3489) Prec@1 71.875 (68.624) Prec@5 84.375 (86.998) Epoch: [79][2470/10010] Time 0.316 (0.328) Data 0.001 (0.002) Loss 1.4552 (1.3490) Prec@1 71.094 (68.621) Prec@5 85.938 (87.002) Epoch: [79][2480/10010] Time 0.321 (0.328) Data 0.001 (0.002) Loss 1.2326 (1.3493) Prec@1 71.094 (68.616) Prec@5 88.281 (87.001) Epoch: [79][2490/10010] Time 0.314 (0.328) Data 0.001 (0.002) Loss 1.3428 (1.3492) Prec@1 71.094 (68.621) Prec@5 85.938 (87.003) Epoch: [79][2500/10010] Time 0.328 (0.328) Data 0.001 (0.002) Loss 1.4381 (1.3495) Prec@1 67.188 (68.614) Prec@5 84.375 (87.000) Epoch: [79][2510/10010] Time 0.320 (0.328) Data 0.001 (0.002) Loss 1.4248 (1.3497) Prec@1 67.188 (68.617) Prec@5 83.594 (86.997) Epoch: [79][2520/10010] Time 0.319 (0.328) Data 0.001 (0.002) Loss 1.3925 (1.3498) Prec@1 67.969 (68.619) Prec@5 86.719 (86.997) Epoch: [79][2530/10010] Time 0.326 (0.328) Data 0.000 (0.002) Loss 1.3481 (1.3500) Prec@1 69.531 (68.621) Prec@5 88.281 (86.996) Epoch: [79][2540/10010] Time 0.339 (0.328) Data 0.001 (0.002) Loss 1.0696 (1.3498) Prec@1 72.656 (68.627) Prec@5 90.625 (86.999) Epoch: [79][2550/10010] Time 0.339 (0.328) Data 0.001 (0.002) Loss 1.4995 (1.3497) Prec@1 62.500 (68.626) Prec@5 85.156 (87.000) Epoch: [79][2560/10010] Time 0.329 (0.328) Data 0.000 (0.002) Loss 1.4398 (1.3500) Prec@1 65.625 (68.621) Prec@5 89.062 (86.998) Epoch: [79][2570/10010] Time 0.349 (0.328) Data 0.001 (0.002) Loss 1.2714 (1.3500) Prec@1 69.531 (68.618) Prec@5 87.500 (86.996) Epoch: [79][2580/10010] Time 0.321 (0.328) Data 0.000 (0.002) Loss 1.4802 (1.3500) Prec@1 67.969 (68.617) Prec@5 85.938 (86.998) Epoch: [79][2590/10010] Time 0.336 (0.328) Data 0.000 (0.002) Loss 1.1672 (1.3501) Prec@1 71.875 (68.619) Prec@5 90.625 (86.998) Epoch: [79][2600/10010] Time 0.340 (0.328) Data 0.000 (0.002) Loss 1.1116 (1.3501) Prec@1 71.875 (68.619) Prec@5 88.281 (87.000) Epoch: [79][2610/10010] Time 0.321 (0.328) Data 0.000 (0.002) Loss 1.2056 (1.3499) Prec@1 69.531 (68.620) Prec@5 90.625 (87.000) Epoch: [79][2620/10010] Time 0.323 (0.328) Data 0.001 (0.002) Loss 1.5061 (1.3499) Prec@1 62.500 (68.617) Prec@5 83.594 (87.001) Epoch: [79][2630/10010] Time 0.338 (0.328) Data 0.001 (0.002) Loss 1.5838 (1.3498) Prec@1 64.062 (68.621) Prec@5 81.250 (87.003) Epoch: [79][2640/10010] Time 0.324 (0.328) Data 0.001 (0.002) Loss 1.5164 (1.3496) Prec@1 65.625 (68.625) Prec@5 84.375 (87.007) Epoch: [79][2650/10010] Time 0.318 (0.328) Data 0.001 (0.002) Loss 1.1897 (1.3494) Prec@1 66.406 (68.627) Prec@5 92.188 (87.014) Epoch: [79][2660/10010] Time 0.330 (0.328) Data 0.001 (0.002) Loss 1.2772 (1.3494) Prec@1 68.750 (68.621) Prec@5 87.500 (87.015) Epoch: [79][2670/10010] Time 0.342 (0.328) Data 0.001 (0.002) Loss 1.3164 (1.3493) Prec@1 71.094 (68.626) Prec@5 92.188 (87.021) Epoch: [79][2680/10010] Time 0.318 (0.328) Data 0.000 (0.002) Loss 1.0830 (1.3492) Prec@1 74.219 (68.628) Prec@5 90.625 (87.022) Epoch: [79][2690/10010] Time 0.340 (0.328) Data 0.001 (0.002) Loss 1.5833 (1.3496) Prec@1 66.406 (68.622) Prec@5 86.719 (87.016) Epoch: [79][2700/10010] Time 0.317 (0.328) Data 0.001 (0.002) Loss 1.5098 (1.3497) Prec@1 66.406 (68.620) Prec@5 85.938 (87.013) Epoch: [79][2710/10010] Time 0.316 (0.328) Data 0.001 (0.002) Loss 1.4533 (1.3497) Prec@1 71.875 (68.619) Prec@5 85.938 (87.016) /data/vision/torralba/deepscene/lib/anaconda2/lib/python2.7/site-packages/PIL/TiffImagePlugin.py:692: UserWarning: Possibly corrupt EXIF data. Expecting to read 2555904 bytes but only got 0. Skipping tag 0 "Skipping tag %s" % (size, len(data), tag)) Epoch: [79][2720/10010] Time 0.321 (0.328) Data 0.001 (0.002) Loss 1.7020 (1.3495) Prec@1 65.625 (68.629) Prec@5 83.594 (87.017) Epoch: [79][2730/10010] Time 0.334 (0.328) Data 0.001 (0.002) Loss 1.6078 (1.3497) Prec@1 66.406 (68.622) Prec@5 85.938 (87.015) Epoch: [79][2740/10010] Time 0.319 (0.328) Data 0.001 (0.002) Loss 1.2788 (1.3498) Prec@1 70.312 (68.616) Prec@5 89.062 (87.013) Epoch: [79][2750/10010] Time 0.327 (0.328) Data 0.000 (0.002) Loss 1.7364 (1.3499) Prec@1 61.719 (68.616) Prec@5 78.906 (87.007) Epoch: [79][2760/10010] Time 0.328 (0.328) Data 0.000 (0.002) Loss 1.6200 (1.3500) Prec@1 58.594 (68.610) Prec@5 82.812 (87.008) Epoch: [79][2770/10010] Time 0.332 (0.328) Data 0.000 (0.002) Loss 1.3843 (1.3498) Prec@1 67.188 (68.616) Prec@5 84.375 (87.010) Epoch: [79][2780/10010] Time 0.334 (0.328) Data 0.001 (0.002) Loss 1.0350 (1.3499) Prec@1 72.656 (68.608) Prec@5 91.406 (87.010) Epoch: [79][2790/10010] Time 0.314 (0.328) Data 0.001 (0.002) Loss 1.5463 (1.3500) Prec@1 64.844 (68.607) Prec@5 82.812 (87.004) Epoch: [79][2800/10010] Time 0.325 (0.328) Data 0.001 (0.002) Loss 1.2268 (1.3502) Prec@1 71.094 (68.607) Prec@5 89.844 (87.004) Epoch: [79][2810/10010] Time 0.321 (0.328) Data 0.001 (0.002) Loss 1.4678 (1.3501) Prec@1 64.844 (68.611) Prec@5 85.156 (87.005) Epoch: [79][2820/10010] Time 0.319 (0.328) Data 0.000 (0.002) Loss 1.5675 (1.3505) Prec@1 68.750 (68.605) Prec@5 84.375 (86.999) Epoch: [79][2830/10010] Time 0.320 (0.328) Data 0.001 (0.002) Loss 1.1870 (1.3506) Prec@1 71.094 (68.603) Prec@5 87.500 (86.997) Epoch: [79][2840/10010] Time 0.338 (0.328) Data 0.001 (0.002) Loss 1.5758 (1.3507) Prec@1 64.062 (68.598) Prec@5 85.156 (86.996) Epoch: [79][2850/10010] Time 0.319 (0.328) Data 0.001 (0.001) Loss 1.2519 (1.3507) Prec@1 67.969 (68.596) Prec@5 89.062 (86.999) Epoch: [79][2860/10010] Time 0.325 (0.328) Data 0.001 (0.001) Loss 1.5574 (1.3505) Prec@1 66.406 (68.600) Prec@5 81.250 (87.000) Epoch: [79][2870/10010] Time 0.333 (0.328) Data 0.000 (0.001) Loss 0.8959 (1.3506) Prec@1 78.125 (68.598) Prec@5 92.188 (87.001) Epoch: [79][2880/10010] Time 0.317 (0.327) Data 0.001 (0.001) Loss 1.5499 (1.3507) Prec@1 69.531 (68.595) Prec@5 85.156 (87.003) Epoch: [79][2890/10010] Time 0.315 (0.327) Data 0.001 (0.001) Loss 1.6079 (1.3507) Prec@1 66.406 (68.598) Prec@5 84.375 (87.003) Epoch: [79][2900/10010] Time 0.322 (0.327) Data 0.001 (0.001) Loss 1.7044 (1.3507) Prec@1 63.281 (68.598) Prec@5 81.250 (87.002) Epoch: [79][2910/10010] Time 0.320 (0.327) Data 0.001 (0.001) Loss 1.4951 (1.3506) Prec@1 67.188 (68.602) Prec@5 82.812 (87.003) Epoch: [79][2920/10010] Time 0.321 (0.327) Data 0.000 (0.001) Loss 1.2158 (1.3506) Prec@1 67.969 (68.600) Prec@5 90.625 (87.004) Epoch: [79][2930/10010] Time 0.316 (0.327) Data 0.000 (0.001) Loss 1.3370 (1.3504) Prec@1 72.656 (68.600) Prec@5 88.281 (87.007) Epoch: [79][2940/10010] Time 0.332 (0.327) Data 0.001 (0.001) Loss 1.2602 (1.3504) Prec@1 66.406 (68.599) Prec@5 89.062 (87.009) Epoch: [79][2950/10010] Time 0.322 (0.327) Data 0.001 (0.001) Loss 1.2640 (1.3506) Prec@1 71.094 (68.592) Prec@5 86.719 (87.002) Epoch: [79][2960/10010] Time 0.331 (0.327) Data 0.000 (0.001) Loss 1.0680 (1.3504) Prec@1 71.875 (68.596) Prec@5 91.406 (87.004) Epoch: [79][2970/10010] Time 0.324 (0.327) Data 0.000 (0.001) Loss 1.4837 (1.3503) Prec@1 67.188 (68.599) Prec@5 87.500 (87.007) Epoch: [79][2980/10010] Time 0.314 (0.327) Data 0.001 (0.001) Loss 1.1193 (1.3501) Prec@1 68.750 (68.600) Prec@5 90.625 (87.010) Epoch: [79][2990/10010] Time 0.326 (0.327) Data 0.001 (0.001) Loss 1.2997 (1.3500) Prec@1 71.094 (68.604) Prec@5 87.500 (87.013) Epoch: [79][3000/10010] Time 0.331 (0.328) Data 0.001 (0.001) Loss 1.2828 (1.3500) Prec@1 71.094 (68.603) Prec@5 88.281 (87.013) Epoch: [79][3010/10010] Time 0.319 (0.327) Data 0.001 (0.001) Loss 1.3597 (1.3500) Prec@1 67.969 (68.601) Prec@5 85.938 (87.014) Epoch: [79][3020/10010] Time 0.325 (0.327) Data 0.000 (0.001) Loss 1.5518 (1.3501) Prec@1 67.969 (68.602) Prec@5 85.156 (87.009) Epoch: [79][3030/10010] Time 0.318 (0.327) Data 0.001 (0.001) Loss 1.3827 (1.3502) Prec@1 70.312 (68.595) Prec@5 83.594 (87.009) Epoch: [79][3040/10010] Time 0.338 (0.327) Data 0.001 (0.001) Loss 1.4188 (1.3499) Prec@1 65.625 (68.601) Prec@5 85.938 (87.013) Epoch: [79][3050/10010] Time 0.340 (0.327) Data 0.001 (0.001) Loss 1.4940 (1.3501) Prec@1 64.844 (68.595) Prec@5 84.375 (87.011) Epoch: [79][3060/10010] Time 0.333 (0.327) Data 0.001 (0.001) Loss 1.2342 (1.3502) Prec@1 75.000 (68.599) Prec@5 90.625 (87.011) Epoch: [79][3070/10010] Time 0.313 (0.327) Data 0.001 (0.001) Loss 1.3113 (1.3505) Prec@1 67.969 (68.594) Prec@5 84.375 (87.005) Epoch: [79][3080/10010] Time 0.320 (0.327) Data 0.001 (0.001) Loss 1.4556 (1.3508) Prec@1 71.094 (68.587) Prec@5 84.375 (86.999) Epoch: [79][3090/10010] Time 0.323 (0.327) Data 0.000 (0.001) Loss 1.0914 (1.3511) Prec@1 75.781 (68.582) Prec@5 89.844 (86.997) Epoch: [79][3100/10010] Time 0.337 (0.327) Data 0.000 (0.001) Loss 1.2448 (1.3509) Prec@1 71.094 (68.584) Prec@5 89.844 (86.999) Epoch: [79][3110/10010] Time 0.328 (0.328) Data 0.001 (0.001) Loss 1.1421 (1.3507) Prec@1 73.438 (68.589) Prec@5 89.062 (87.001) Epoch: [79][3120/10010] Time 0.346 (0.328) Data 0.001 (0.001) Loss 1.3236 (1.3510) Prec@1 70.312 (68.584) Prec@5 87.500 (87.000) Epoch: [79][3130/10010] Time 0.339 (0.328) Data 0.001 (0.001) Loss 1.8121 (1.3509) Prec@1 54.688 (68.581) Prec@5 85.156 (87.003) Epoch: [79][3140/10010] Time 0.340 (0.328) Data 0.000 (0.001) Loss 1.1858 (1.3506) Prec@1 71.875 (68.587) Prec@5 92.188 (87.009) Epoch: [79][3150/10010] Time 0.318 (0.328) Data 0.001 (0.001) Loss 1.4242 (1.3506) Prec@1 65.625 (68.585) Prec@5 86.719 (87.011) Epoch: [79][3160/10010] Time 0.321 (0.328) Data 0.001 (0.001) Loss 1.4672 (1.3506) Prec@1 64.062 (68.581) Prec@5 85.938 (87.010) Epoch: [79][3170/10010] Time 0.323 (0.328) Data 0.001 (0.001) Loss 1.0077 (1.3505) Prec@1 75.000 (68.583) Prec@5 94.531 (87.010) Epoch: [79][3180/10010] Time 0.328 (0.328) Data 0.001 (0.001) Loss 1.2796 (1.3505) Prec@1 68.750 (68.580) Prec@5 89.844 (87.010) Epoch: [79][3190/10010] Time 0.331 (0.328) Data 0.001 (0.001) Loss 1.3647 (1.3503) Prec@1 64.844 (68.583) Prec@5 89.844 (87.014) Epoch: [79][3200/10010] Time 0.325 (0.328) Data 0.001 (0.001) Loss 1.0019 (1.3502) Prec@1 78.125 (68.588) Prec@5 92.188 (87.019) Epoch: [79][3210/10010] Time 0.333 (0.328) Data 0.001 (0.001) Loss 1.4149 (1.3501) Prec@1 66.406 (68.587) Prec@5 86.719 (87.020) Epoch: [79][3220/10010] Time 0.328 (0.328) Data 0.001 (0.001) Loss 1.4760 (1.3502) Prec@1 67.969 (68.582) Prec@5 83.594 (87.020) Epoch: [79][3230/10010] Time 0.335 (0.328) Data 0.000 (0.001) Loss 1.3868 (1.3504) Prec@1 72.656 (68.578) Prec@5 84.375 (87.017) Epoch: [79][3240/10010] Time 0.315 (0.328) Data 0.000 (0.001) Loss 1.3135 (1.3505) Prec@1 63.281 (68.574) Prec@5 84.375 (87.016) Epoch: [79][3250/10010] Time 0.336 (0.328) Data 0.001 (0.001) Loss 1.4701 (1.3506) Prec@1 67.969 (68.570) Prec@5 88.281 (87.016) Epoch: [79][3260/10010] Time 0.334 (0.327) Data 0.000 (0.001) Loss 1.7465 (1.3512) Prec@1 60.938 (68.558) Prec@5 78.906 (87.007) Epoch: [79][3270/10010] Time 0.314 (0.327) Data 0.001 (0.001) Loss 1.4447 (1.3508) Prec@1 67.188 (68.568) Prec@5 88.281 (87.015) Epoch: [79][3280/10010] Time 0.324 (0.327) Data 0.000 (0.001) Loss 1.3059 (1.3511) Prec@1 69.531 (68.562) Prec@5 89.844 (87.012) Epoch: [79][3290/10010] Time 0.312 (0.327) Data 0.001 (0.001) Loss 1.4681 (1.3511) Prec@1 67.969 (68.566) Prec@5 84.375 (87.012) Epoch: [79][3300/10010] Time 0.322 (0.327) Data 0.001 (0.001) Loss 1.2817 (1.3511) Prec@1 71.094 (68.562) Prec@5 87.500 (87.009) Epoch: [79][3310/10010] Time 0.320 (0.327) Data 0.001 (0.001) Loss 1.4624 (1.3512) Prec@1 71.094 (68.563) Prec@5 85.156 (87.007) Epoch: [79][3320/10010] Time 0.326 (0.327) Data 0.000 (0.001) Loss 1.1126 (1.3512) Prec@1 71.094 (68.562) Prec@5 89.844 (87.006) Epoch: [79][3330/10010] Time 0.340 (0.327) Data 0.000 (0.001) Loss 1.3513 (1.3513) Prec@1 70.312 (68.560) Prec@5 84.375 (87.000) Epoch: [79][3340/10010] Time 0.329 (0.327) Data 0.001 (0.001) Loss 1.4509 (1.3512) Prec@1 64.844 (68.566) Prec@5 87.500 (87.002) Epoch: [79][3350/10010] Time 0.327 (0.327) Data 0.001 (0.001) Loss 1.1652 (1.3513) Prec@1 73.438 (68.565) Prec@5 92.969 (87.003) Epoch: [79][3360/10010] Time 0.340 (0.328) Data 0.000 (0.001) Loss 1.5201 (1.3514) Prec@1 64.062 (68.565) Prec@5 84.375 (87.004) Epoch: [79][3370/10010] Time 0.327 (0.328) Data 0.000 (0.001) Loss 1.2843 (1.3514) Prec@1 71.094 (68.563) Prec@5 89.062 (87.005) Epoch: [79][3380/10010] Time 0.334 (0.328) Data 0.000 (0.001) Loss 1.4145 (1.3514) Prec@1 71.094 (68.569) Prec@5 82.812 (87.003) Epoch: [79][3390/10010] Time 0.315 (0.328) Data 0.000 (0.001) Loss 1.3416 (1.3515) Prec@1 64.062 (68.564) Prec@5 85.156 (87.001) Epoch: [79][3400/10010] Time 0.324 (0.328) Data 0.001 (0.001) Loss 1.2969 (1.3513) Prec@1 68.750 (68.566) Prec@5 87.500 (87.005) Epoch: [79][3410/10010] Time 0.324 (0.328) Data 0.001 (0.001) Loss 1.5638 (1.3510) Prec@1 66.406 (68.568) Prec@5 83.594 (87.011) Epoch: [79][3420/10010] Time 0.322 (0.327) Data 0.000 (0.001) Loss 1.4915 (1.3512) Prec@1 64.844 (68.565) Prec@5 83.594 (87.010) Epoch: [79][3430/10010] Time 0.318 (0.327) Data 0.001 (0.001) Loss 1.4784 (1.3514) Prec@1 63.281 (68.559) Prec@5 85.156 (87.008) Epoch: [79][3440/10010] Time 0.321 (0.327) Data 0.001 (0.001) Loss 1.6127 (1.3514) Prec@1 67.188 (68.557) Prec@5 84.375 (87.007) Epoch: [79][3450/10010] Time 0.319 (0.327) Data 0.000 (0.001) Loss 1.4305 (1.3515) Prec@1 67.188 (68.552) Prec@5 82.031 (87.006) Epoch: [79][3460/10010] Time 0.314 (0.327) Data 0.001 (0.001) Loss 1.3468 (1.3514) Prec@1 67.188 (68.552) Prec@5 85.156 (87.005) Epoch: [79][3470/10010] Time 0.331 (0.327) Data 0.001 (0.001) Loss 1.0512 (1.3513) Prec@1 71.875 (68.552) Prec@5 92.969 (87.008) Epoch: [79][3480/10010] Time 0.331 (0.327) Data 0.000 (0.001) Loss 1.3913 (1.3512) Prec@1 67.188 (68.557) Prec@5 82.031 (87.006) Epoch: [79][3490/10010] Time 0.316 (0.327) Data 0.001 (0.001) Loss 1.5274 (1.3511) Prec@1 67.188 (68.557) Prec@5 85.156 (87.007) Epoch: [79][3500/10010] Time 0.342 (0.327) Data 0.000 (0.001) Loss 1.4649 (1.3511) Prec@1 68.750 (68.559) Prec@5 85.938 (87.010) Epoch: [79][3510/10010] Time 0.318 (0.327) Data 0.001 (0.001) Loss 1.5927 (1.3509) Prec@1 62.500 (68.565) Prec@5 85.156 (87.012) Epoch: [79][3520/10010] Time 0.323 (0.327) Data 0.001 (0.001) Loss 1.4707 (1.3510) Prec@1 66.406 (68.567) Prec@5 86.719 (87.011) Epoch: [79][3530/10010] Time 0.315 (0.327) Data 0.001 (0.001) Loss 1.2117 (1.3508) Prec@1 71.094 (68.569) Prec@5 87.500 (87.012) Epoch: [79][3540/10010] Time 0.336 (0.327) Data 0.001 (0.001) Loss 1.3022 (1.3511) Prec@1 66.406 (68.567) Prec@5 89.844 (87.010) Epoch: [79][3550/10010] Time 0.315 (0.327) Data 0.000 (0.001) Loss 1.3847 (1.3512) Prec@1 69.531 (68.563) Prec@5 86.719 (87.011) Epoch: [79][3560/10010] Time 0.332 (0.327) Data 0.001 (0.001) Loss 1.2971 (1.3510) Prec@1 73.438 (68.565) Prec@5 89.062 (87.013) Epoch: [79][3570/10010] Time 0.338 (0.327) Data 0.001 (0.001) Loss 1.2859 (1.3512) Prec@1 67.188 (68.557) Prec@5 89.062 (87.010) Epoch: [79][3580/10010] Time 0.339 (0.327) Data 0.001 (0.001) Loss 1.4862 (1.3512) Prec@1 64.844 (68.554) Prec@5 82.031 (87.008) Epoch: [79][3590/10010] Time 0.318 (0.327) Data 0.000 (0.001) Loss 1.3651 (1.3512) Prec@1 69.531 (68.556) Prec@5 85.938 (87.011) Epoch: [79][3600/10010] Time 0.329 (0.327) Data 0.001 (0.001) Loss 1.4406 (1.3511) Prec@1 64.062 (68.560) Prec@5 87.500 (87.014) Epoch: [79][3610/10010] Time 0.331 (0.327) Data 0.000 (0.001) Loss 1.7305 (1.3511) Prec@1 64.844 (68.558) Prec@5 81.250 (87.015) Epoch: [79][3620/10010] Time 0.327 (0.327) Data 0.000 (0.001) Loss 1.1335 (1.3511) Prec@1 72.656 (68.560) Prec@5 90.625 (87.015) Epoch: [79][3630/10010] Time 0.338 (0.327) Data 0.001 (0.001) Loss 1.2757 (1.3512) Prec@1 66.406 (68.560) Prec@5 89.062 (87.017) Epoch: [79][3640/10010] Time 0.323 (0.327) Data 0.001 (0.001) Loss 1.1189 (1.3509) Prec@1 73.438 (68.564) Prec@5 92.188 (87.021) Epoch: [79][3650/10010] Time 0.319 (0.327) Data 0.003 (0.001) Loss 1.4438 (1.3510) Prec@1 69.531 (68.561) Prec@5 83.594 (87.019) Epoch: [79][3660/10010] Time 0.338 (0.327) Data 0.001 (0.001) Loss 1.4377 (1.3511) Prec@1 67.188 (68.559) Prec@5 83.594 (87.015) Epoch: [79][3670/10010] Time 0.319 (0.327) Data 0.001 (0.001) Loss 1.3187 (1.3512) Prec@1 65.625 (68.558) Prec@5 89.844 (87.015) Epoch: [79][3680/10010] Time 0.341 (0.327) Data 0.000 (0.001) Loss 1.2418 (1.3515) Prec@1 67.969 (68.552) Prec@5 90.625 (87.013) Epoch: [79][3690/10010] Time 0.321 (0.327) Data 0.001 (0.001) Loss 1.2268 (1.3514) Prec@1 71.094 (68.551) Prec@5 87.500 (87.014) Epoch: [79][3700/10010] Time 0.316 (0.327) Data 0.000 (0.001) Loss 1.4049 (1.3516) Prec@1 68.750 (68.549) Prec@5 86.719 (87.009) Epoch: [79][3710/10010] Time 0.340 (0.327) Data 0.000 (0.001) Loss 1.3179 (1.3514) Prec@1 72.656 (68.555) Prec@5 85.938 (87.013) Epoch: [79][3720/10010] Time 0.313 (0.327) Data 0.001 (0.001) Loss 1.3956 (1.3511) Prec@1 71.094 (68.559) Prec@5 83.594 (87.016) Epoch: [79][3730/10010] Time 0.315 (0.327) Data 0.001 (0.001) Loss 1.4306 (1.3512) Prec@1 65.625 (68.558) Prec@5 85.156 (87.017) Epoch: [79][3740/10010] Time 0.320 (0.327) Data 0.000 (0.001) Loss 1.2760 (1.3509) Prec@1 67.969 (68.566) Prec@5 88.281 (87.019) Epoch: [79][3750/10010] Time 0.322 (0.327) Data 0.000 (0.001) Loss 1.1246 (1.3510) Prec@1 75.781 (68.567) Prec@5 90.625 (87.019) Epoch: [79][3760/10010] Time 0.324 (0.327) Data 0.001 (0.001) Loss 1.2028 (1.3512) Prec@1 69.531 (68.566) Prec@5 88.281 (87.018) Epoch: [79][3770/10010] Time 0.321 (0.327) Data 0.001 (0.001) Loss 1.5695 (1.3511) Prec@1 64.844 (68.571) Prec@5 81.250 (87.021) Epoch: [79][3780/10010] Time 0.321 (0.327) Data 0.001 (0.001) Loss 1.4892 (1.3510) Prec@1 64.844 (68.571) Prec@5 85.156 (87.022) Epoch: [79][3790/10010] Time 0.319 (0.327) Data 0.000 (0.001) Loss 1.2828 (1.3511) Prec@1 67.188 (68.565) Prec@5 87.500 (87.021) Epoch: [79][3800/10010] Time 0.322 (0.327) Data 0.001 (0.001) Loss 1.8191 (1.3514) Prec@1 60.938 (68.563) Prec@5 75.781 (87.012) Epoch: [79][3810/10010] Time 0.316 (0.327) Data 0.001 (0.001) Loss 1.4977 (1.3513) Prec@1 67.188 (68.565) Prec@5 82.812 (87.014) Epoch: [79][3820/10010] Time 0.316 (0.327) Data 0.001 (0.001) Loss 1.4893 (1.3515) Prec@1 66.406 (68.560) Prec@5 86.719 (87.013) Epoch: [79][3830/10010] Time 0.312 (0.327) Data 0.001 (0.001) Loss 1.4836 (1.3514) Prec@1 64.844 (68.560) Prec@5 88.281 (87.015) Epoch: [79][3840/10010] Time 0.330 (0.327) Data 0.001 (0.001) Loss 1.3752 (1.3514) Prec@1 64.062 (68.554) Prec@5 88.281 (87.015) Epoch: [79][3850/10010] Time 0.322 (0.327) Data 0.000 (0.001) Loss 1.3883 (1.3514) Prec@1 70.312 (68.554) Prec@5 85.938 (87.016) Epoch: [79][3860/10010] Time 0.330 (0.327) Data 0.001 (0.001) Loss 1.3184 (1.3514) Prec@1 68.750 (68.556) Prec@5 86.719 (87.017) Epoch: [79][3870/10010] Time 0.321 (0.327) Data 0.001 (0.001) Loss 1.5160 (1.3514) Prec@1 62.500 (68.553) Prec@5 85.156 (87.016) Epoch: [79][3880/10010] Time 0.345 (0.327) Data 0.000 (0.001) Loss 1.2433 (1.3512) Prec@1 68.750 (68.553) Prec@5 85.938 (87.018) Epoch: [79][3890/10010] Time 0.311 (0.327) Data 0.001 (0.001) Loss 1.4286 (1.3512) Prec@1 63.281 (68.549) Prec@5 85.938 (87.018) Epoch: [79][3900/10010] Time 0.329 (0.327) Data 0.001 (0.001) Loss 1.3376 (1.3514) Prec@1 66.406 (68.546) Prec@5 86.719 (87.017) Epoch: [79][3910/10010] Time 0.333 (0.327) Data 0.001 (0.001) Loss 1.5772 (1.3516) Prec@1 60.938 (68.539) Prec@5 82.812 (87.012) Epoch: [79][3920/10010] Time 0.317 (0.327) Data 0.001 (0.001) Loss 1.2685 (1.3516) Prec@1 67.969 (68.539) Prec@5 85.938 (87.012) Epoch: [79][3930/10010] Time 0.318 (0.327) Data 0.001 (0.001) Loss 1.4276 (1.3518) Prec@1 64.062 (68.538) Prec@5 85.156 (87.007) Epoch: [79][3940/10010] Time 0.311 (0.327) Data 0.001 (0.001) Loss 1.3376 (1.3516) Prec@1 66.406 (68.542) Prec@5 86.719 (87.009) Epoch: [79][3950/10010] Time 0.320 (0.327) Data 0.000 (0.001) Loss 1.1973 (1.3515) Prec@1 73.438 (68.546) Prec@5 87.500 (87.011) Epoch: [79][3960/10010] Time 0.336 (0.327) Data 0.000 (0.001) Loss 1.1234 (1.3515) Prec@1 74.219 (68.550) Prec@5 89.062 (87.010) Epoch: [79][3970/10010] Time 0.318 (0.327) Data 0.001 (0.001) Loss 1.2716 (1.3514) Prec@1 64.844 (68.552) Prec@5 88.281 (87.013) Epoch: [79][3980/10010] Time 0.331 (0.327) Data 0.001 (0.001) Loss 1.5944 (1.3514) Prec@1 64.844 (68.549) Prec@5 83.594 (87.011) Epoch: [79][3990/10010] Time 0.339 (0.327) Data 0.001 (0.001) Loss 1.2830 (1.3515) Prec@1 70.312 (68.549) Prec@5 87.500 (87.013) Epoch: [79][4000/10010] Time 0.340 (0.327) Data 0.001 (0.001) Loss 1.3568 (1.3516) Prec@1 67.188 (68.547) Prec@5 86.719 (87.009) Epoch: [79][4010/10010] Time 0.338 (0.327) Data 0.001 (0.001) Loss 1.8848 (1.3519) Prec@1 57.031 (68.541) Prec@5 78.125 (87.002) Epoch: [79][4020/10010] Time 0.340 (0.327) Data 0.000 (0.001) Loss 1.7748 (1.3519) Prec@1 64.844 (68.540) Prec@5 81.250 (87.003) Epoch: [79][4030/10010] Time 0.336 (0.327) Data 0.001 (0.001) Loss 1.2873 (1.3519) Prec@1 64.844 (68.540) Prec@5 87.500 (87.002) Epoch: [79][4040/10010] Time 0.313 (0.327) Data 0.001 (0.001) Loss 1.0461 (1.3520) Prec@1 71.875 (68.533) Prec@5 92.188 (87.002) Epoch: [79][4050/10010] Time 0.321 (0.327) Data 0.000 (0.001) Loss 1.4408 (1.3520) Prec@1 71.875 (68.535) Prec@5 85.938 (87.002) Epoch: [79][4060/10010] Time 0.317 (0.327) Data 0.001 (0.001) Loss 1.4517 (1.3521) Prec@1 69.531 (68.534) Prec@5 81.250 (87.000) Epoch: [79][4070/10010] Time 0.331 (0.327) Data 0.001 (0.001) Loss 1.3402 (1.3522) Prec@1 70.312 (68.536) Prec@5 83.594 (86.996) Epoch: [79][4080/10010] Time 0.325 (0.327) Data 0.000 (0.001) Loss 1.3237 (1.3521) Prec@1 70.312 (68.537) Prec@5 88.281 (86.994) Epoch: [79][4090/10010] Time 0.337 (0.327) Data 0.001 (0.001) Loss 1.3573 (1.3521) Prec@1 71.875 (68.541) Prec@5 85.938 (86.995) Epoch: [79][4100/10010] Time 0.338 (0.327) Data 0.001 (0.001) Loss 1.2531 (1.3523) Prec@1 67.188 (68.535) Prec@5 89.062 (86.993) Epoch: [79][4110/10010] Time 0.313 (0.327) Data 0.001 (0.001) Loss 1.2557 (1.3523) Prec@1 69.531 (68.533) Prec@5 89.062 (86.993) Epoch: [79][4120/10010] Time 0.325 (0.327) Data 0.001 (0.001) Loss 1.4931 (1.3523) Prec@1 67.969 (68.535) Prec@5 85.156 (86.993) Epoch: [79][4130/10010] Time 0.338 (0.327) Data 0.001 (0.001) Loss 1.1623 (1.3522) Prec@1 74.219 (68.538) Prec@5 89.844 (86.991) Epoch: [79][4140/10010] Time 0.321 (0.327) Data 0.001 (0.001) Loss 1.3165 (1.3522) Prec@1 69.531 (68.538) Prec@5 89.062 (86.990) Epoch: [79][4150/10010] Time 0.319 (0.327) Data 0.001 (0.001) Loss 1.2442 (1.3521) Prec@1 71.875 (68.539) Prec@5 89.062 (86.991) Epoch: [79][4160/10010] Time 0.336 (0.327) Data 0.001 (0.001) Loss 1.3466 (1.3520) Prec@1 64.062 (68.541) Prec@5 87.500 (86.991) Epoch: [79][4170/10010] Time 0.328 (0.327) Data 0.004 (0.001) Loss 1.0408 (1.3520) Prec@1 73.438 (68.543) Prec@5 89.062 (86.992) Epoch: [79][4180/10010] Time 0.334 (0.327) Data 0.000 (0.001) Loss 1.3711 (1.3519) Prec@1 67.969 (68.547) Prec@5 86.719 (86.992) Epoch: [79][4190/10010] Time 0.340 (0.327) Data 0.001 (0.001) Loss 1.2933 (1.3521) Prec@1 68.750 (68.543) Prec@5 88.281 (86.990) Epoch: [79][4200/10010] Time 0.317 (0.327) Data 0.001 (0.001) Loss 1.2355 (1.3522) Prec@1 70.312 (68.542) Prec@5 89.062 (86.987) Epoch: [79][4210/10010] Time 0.327 (0.327) Data 0.001 (0.001) Loss 1.6300 (1.3523) Prec@1 61.719 (68.538) Prec@5 82.812 (86.987) Epoch: [79][4220/10010] Time 0.347 (0.327) Data 0.001 (0.001) Loss 1.2974 (1.3523) Prec@1 70.312 (68.535) Prec@5 88.281 (86.985) Epoch: [79][4230/10010] Time 0.319 (0.327) Data 0.001 (0.001) Loss 1.1828 (1.3525) Prec@1 73.438 (68.533) Prec@5 90.625 (86.985) Epoch: [79][4240/10010] Time 0.336 (0.327) Data 0.001 (0.001) Loss 1.2559 (1.3525) Prec@1 71.875 (68.531) Prec@5 86.719 (86.983) Epoch: [79][4250/10010] Time 0.322 (0.327) Data 0.001 (0.001) Loss 1.3740 (1.3525) Prec@1 69.531 (68.532) Prec@5 80.469 (86.981) Epoch: [79][4260/10010] Time 0.320 (0.327) Data 0.001 (0.001) Loss 1.1744 (1.3524) Prec@1 71.875 (68.534) Prec@5 89.844 (86.984) Epoch: [79][4270/10010] Time 0.334 (0.327) Data 0.001 (0.001) Loss 1.0303 (1.3524) Prec@1 75.000 (68.534) Prec@5 92.188 (86.983) Epoch: [79][4280/10010] Time 0.331 (0.327) Data 0.001 (0.001) Loss 1.2061 (1.3523) Prec@1 67.188 (68.535) Prec@5 89.062 (86.985) Epoch: [79][4290/10010] Time 0.311 (0.327) Data 0.001 (0.001) Loss 1.5093 (1.3523) Prec@1 66.406 (68.535) Prec@5 85.156 (86.985) Epoch: [79][4300/10010] Time 0.328 (0.327) Data 0.001 (0.001) Loss 1.2736 (1.3522) Prec@1 71.094 (68.539) Prec@5 87.500 (86.987) Epoch: [79][4310/10010] Time 0.312 (0.327) Data 0.001 (0.001) Loss 1.6633 (1.3523) Prec@1 58.594 (68.536) Prec@5 82.812 (86.985) Epoch: [79][4320/10010] Time 0.312 (0.327) Data 0.000 (0.001) Loss 1.2514 (1.3523) Prec@1 71.094 (68.536) Prec@5 90.625 (86.985) Epoch: [79][4330/10010] Time 0.344 (0.327) Data 0.001 (0.001) Loss 1.7347 (1.3522) Prec@1 60.156 (68.536) Prec@5 80.469 (86.988) Epoch: [79][4340/10010] Time 0.317 (0.327) Data 0.001 (0.001) Loss 1.4137 (1.3524) Prec@1 69.531 (68.533) Prec@5 84.375 (86.987) Epoch: [79][4350/10010] Time 0.338 (0.327) Data 0.000 (0.001) Loss 1.2846 (1.3523) Prec@1 67.188 (68.535) Prec@5 87.500 (86.989) Epoch: [79][4360/10010] Time 0.316 (0.327) Data 0.000 (0.001) Loss 1.3012 (1.3522) Prec@1 64.844 (68.533) Prec@5 87.500 (86.989) Epoch: [79][4370/10010] Time 0.338 (0.327) Data 0.001 (0.001) Loss 1.2760 (1.3521) Prec@1 68.750 (68.535) Prec@5 88.281 (86.991) Epoch: [79][4380/10010] Time 0.323 (0.327) Data 0.001 (0.001) Loss 1.3409 (1.3524) Prec@1 69.531 (68.535) Prec@5 85.938 (86.988) Epoch: [79][4390/10010] Time 0.328 (0.327) Data 0.001 (0.001) Loss 1.2629 (1.3524) Prec@1 68.750 (68.535) Prec@5 91.406 (86.988) Epoch: [79][4400/10010] Time 0.338 (0.327) Data 0.001 (0.001) Loss 1.3098 (1.3524) Prec@1 71.094 (68.536) Prec@5 84.375 (86.990) /data/vision/torralba/deepscene/lib/anaconda2/lib/python2.7/site-packages/PIL/TiffImagePlugin.py:692: UserWarning: Possibly corrupt EXIF data. Expecting to read 2555904 bytes but only got 0. Skipping tag 0 "Skipping tag %s" % (size, len(data), tag)) Epoch: [79][4410/10010] Time 0.331 (0.327) Data 0.001 (0.001) Loss 1.3616 (1.3525) Prec@1 72.656 (68.535) Prec@5 89.062 (86.989) Epoch: [79][4420/10010] Time 0.320 (0.327) Data 0.001 (0.001) Loss 1.4405 (1.3525) Prec@1 63.281 (68.535) Prec@5 87.500 (86.989) Epoch: [79][4430/10010] Time 0.336 (0.327) Data 0.001 (0.001) Loss 1.1528 (1.3525) Prec@1 76.562 (68.535) Prec@5 88.281 (86.990) Epoch: [79][4440/10010] Time 0.318 (0.327) Data 0.001 (0.001) Loss 1.3388 (1.3525) Prec@1 67.969 (68.535) Prec@5 85.156 (86.987) Epoch: [79][4450/10010] Time 0.319 (0.327) Data 0.001 (0.001) Loss 1.2649 (1.3526) Prec@1 72.656 (68.533) Prec@5 87.500 (86.984) Epoch: [79][4460/10010] Time 0.312 (0.327) Data 0.001 (0.001) Loss 1.2112 (1.3523) Prec@1 71.094 (68.536) Prec@5 89.062 (86.989) Epoch: [79][4470/10010] Time 0.315 (0.327) Data 0.001 (0.001) Loss 1.0939 (1.3523) Prec@1 73.438 (68.535) Prec@5 89.062 (86.989) Epoch: [79][4480/10010] Time 0.336 (0.327) Data 0.000 (0.001) Loss 1.6488 (1.3523) Prec@1 65.625 (68.535) Prec@5 80.469 (86.989) Epoch: [79][4490/10010] Time 0.321 (0.327) Data 0.000 (0.001) Loss 1.8051 (1.3524) Prec@1 63.281 (68.533) Prec@5 79.688 (86.988) Epoch: [79][4500/10010] Time 0.323 (0.327) Data 0.005 (0.001) Loss 1.3035 (1.3523) Prec@1 71.094 (68.536) Prec@5 87.500 (86.990) Epoch: [79][4510/10010] Time 0.312 (0.327) Data 0.001 (0.001) Loss 1.4477 (1.3524) Prec@1 64.062 (68.533) Prec@5 85.938 (86.989) Epoch: [79][4520/10010] Time 0.325 (0.327) Data 0.001 (0.001) Loss 1.3968 (1.3525) Prec@1 58.594 (68.528) Prec@5 86.719 (86.987) Epoch: [79][4530/10010] Time 0.328 (0.327) Data 0.000 (0.001) Loss 1.5276 (1.3526) Prec@1 64.844 (68.529) Prec@5 86.719 (86.988) Epoch: [79][4540/10010] Time 0.319 (0.327) Data 0.000 (0.001) Loss 1.5749 (1.3526) Prec@1 64.062 (68.528) Prec@5 82.812 (86.986) Epoch: [79][4550/10010] Time 0.341 (0.327) Data 0.001 (0.001) Loss 1.4201 (1.3525) Prec@1 67.188 (68.533) Prec@5 86.719 (86.988) Epoch: [79][4560/10010] Time 0.329 (0.327) Data 0.000 (0.001) Loss 1.6181 (1.3525) Prec@1 59.375 (68.535) Prec@5 81.250 (86.988) Epoch: [79][4570/10010] Time 0.328 (0.327) Data 0.001 (0.001) Loss 1.1487 (1.3524) Prec@1 66.406 (68.535) Prec@5 89.844 (86.986) Epoch: [79][4580/10010] Time 0.316 (0.327) Data 0.001 (0.001) Loss 0.9091 (1.3523) Prec@1 71.875 (68.536) Prec@5 91.406 (86.988) Epoch: [79][4590/10010] Time 0.333 (0.327) Data 0.000 (0.001) Loss 1.6260 (1.3525) Prec@1 64.844 (68.534) Prec@5 85.938 (86.988) Epoch: [79][4600/10010] Time 0.322 (0.327) Data 0.000 (0.001) Loss 1.3700 (1.3526) Prec@1 67.188 (68.529) Prec@5 86.719 (86.986) Epoch: [79][4610/10010] Time 0.323 (0.327) Data 0.001 (0.001) Loss 1.5420 (1.3527) Prec@1 66.406 (68.526) Prec@5 83.594 (86.983) Epoch: [79][4620/10010] Time 0.327 (0.327) Data 0.001 (0.001) Loss 1.4488 (1.3527) Prec@1 66.406 (68.527) Prec@5 84.375 (86.983) Epoch: [79][4630/10010] Time 0.316 (0.327) Data 0.001 (0.001) Loss 1.4726 (1.3526) Prec@1 67.188 (68.532) Prec@5 85.156 (86.986) Epoch: [79][4640/10010] Time 0.336 (0.327) Data 0.001 (0.001) Loss 1.5989 (1.3530) Prec@1 67.969 (68.525) Prec@5 83.594 (86.983) Epoch: [79][4650/10010] Time 0.332 (0.327) Data 0.000 (0.001) Loss 1.3221 (1.3530) Prec@1 65.625 (68.526) Prec@5 84.375 (86.982) Epoch: [79][4660/10010] Time 0.326 (0.327) Data 0.001 (0.001) Loss 1.4291 (1.3529) Prec@1 64.844 (68.526) Prec@5 84.375 (86.983) Epoch: [79][4670/10010] Time 0.324 (0.327) Data 0.001 (0.001) Loss 1.2786 (1.3530) Prec@1 75.781 (68.525) Prec@5 89.062 (86.981) Epoch: [79][4680/10010] Time 0.340 (0.327) Data 0.001 (0.001) Loss 1.4258 (1.3530) Prec@1 63.281 (68.524) Prec@5 89.062 (86.977) Epoch: [79][4690/10010] Time 0.326 (0.327) Data 0.001 (0.001) Loss 1.4396 (1.3530) Prec@1 61.719 (68.521) Prec@5 81.250 (86.978) Epoch: [79][4700/10010] Time 0.312 (0.327) Data 0.001 (0.001) Loss 1.1453 (1.3529) Prec@1 78.906 (68.525) Prec@5 88.281 (86.978) Epoch: [79][4710/10010] Time 0.320 (0.327) Data 0.001 (0.001) Loss 1.0741 (1.3529) Prec@1 74.219 (68.524) Prec@5 92.969 (86.979) Epoch: [79][4720/10010] Time 0.312 (0.327) Data 0.001 (0.001) Loss 1.2540 (1.3528) Prec@1 66.406 (68.529) Prec@5 85.938 (86.980) Epoch: [79][4730/10010] Time 0.335 (0.327) Data 0.001 (0.001) Loss 1.3736 (1.3526) Prec@1 70.312 (68.533) Prec@5 88.281 (86.986) Epoch: [79][4740/10010] Time 0.320 (0.327) Data 0.001 (0.001) Loss 1.6027 (1.3527) Prec@1 60.938 (68.531) Prec@5 84.375 (86.985) Epoch: [79][4750/10010] Time 0.333 (0.327) Data 0.001 (0.001) Loss 1.1231 (1.3526) Prec@1 70.312 (68.535) Prec@5 91.406 (86.986) Epoch: [79][4760/10010] Time 0.317 (0.327) Data 0.000 (0.001) Loss 1.3944 (1.3527) Prec@1 68.750 (68.535) Prec@5 89.844 (86.986) Epoch: [79][4770/10010] Time 0.319 (0.327) Data 0.001 (0.001) Loss 1.4984 (1.3529) Prec@1 62.500 (68.531) Prec@5 89.062 (86.983) Epoch: [79][4780/10010] Time 0.338 (0.327) Data 0.001 (0.001) Loss 1.5624 (1.3531) Prec@1 66.406 (68.525) Prec@5 81.250 (86.979) Epoch: [79][4790/10010] Time 0.321 (0.327) Data 0.001 (0.001) Loss 1.2753 (1.3531) Prec@1 69.531 (68.526) Prec@5 89.062 (86.979) Epoch: [79][4800/10010] Time 0.320 (0.327) Data 0.001 (0.001) Loss 1.1270 (1.3531) Prec@1 70.312 (68.526) Prec@5 91.406 (86.979) Epoch: [79][4810/10010] Time 0.337 (0.327) Data 0.001 (0.001) Loss 1.4626 (1.3531) Prec@1 69.531 (68.528) Prec@5 85.938 (86.979) Epoch: [79][4820/10010] Time 0.317 (0.327) Data 0.001 (0.001) Loss 1.3856 (1.3532) Prec@1 67.188 (68.524) Prec@5 83.594 (86.979) Epoch: [79][4830/10010] Time 0.326 (0.327) Data 0.001 (0.001) Loss 1.4582 (1.3531) Prec@1 65.625 (68.528) Prec@5 85.156 (86.982) Epoch: [79][4840/10010] Time 0.320 (0.327) Data 0.001 (0.001) Loss 1.3406 (1.3531) Prec@1 69.531 (68.528) Prec@5 87.500 (86.982) Epoch: [79][4850/10010] Time 0.319 (0.327) Data 0.001 (0.001) Loss 1.1038 (1.3529) Prec@1 71.094 (68.532) Prec@5 92.188 (86.986) Epoch: [79][4860/10010] Time 0.325 (0.327) Data 0.000 (0.001) Loss 1.2874 (1.3530) Prec@1 73.438 (68.528) Prec@5 88.281 (86.986) Epoch: [79][4870/10010] Time 0.328 (0.327) Data 0.000 (0.001) Loss 1.3550 (1.3531) Prec@1 70.312 (68.525) Prec@5 87.500 (86.984) Epoch: [79][4880/10010] Time 0.335 (0.327) Data 0.001 (0.001) Loss 1.2527 (1.3533) Prec@1 72.656 (68.520) Prec@5 88.281 (86.981) Epoch: [79][4890/10010] Time 0.334 (0.327) Data 0.001 (0.001) Loss 1.4658 (1.3533) Prec@1 66.406 (68.521) Prec@5 85.938 (86.981) Epoch: [79][4900/10010] Time 0.324 (0.327) Data 0.001 (0.001) Loss 1.2958 (1.3533) Prec@1 67.969 (68.521) Prec@5 87.500 (86.983) Epoch: [79][4910/10010] Time 0.321 (0.327) Data 0.001 (0.001) Loss 0.9355 (1.3531) Prec@1 77.344 (68.524) Prec@5 94.531 (86.983) Epoch: [79][4920/10010] Time 0.311 (0.327) Data 0.001 (0.001) Loss 1.2559 (1.3531) Prec@1 69.531 (68.521) Prec@5 91.406 (86.983) Epoch: [79][4930/10010] Time 0.334 (0.327) Data 0.001 (0.001) Loss 1.3721 (1.3531) Prec@1 67.969 (68.519) Prec@5 85.938 (86.983) Epoch: [79][4940/10010] Time 0.316 (0.327) Data 0.001 (0.001) Loss 1.3950 (1.3531) Prec@1 67.188 (68.522) Prec@5 84.375 (86.984) Epoch: [79][4950/10010] Time 0.332 (0.327) Data 0.001 (0.001) Loss 1.3222 (1.3529) Prec@1 65.625 (68.526) Prec@5 89.062 (86.987) Epoch: [79][4960/10010] Time 0.334 (0.327) Data 0.000 (0.001) Loss 1.4039 (1.3529) Prec@1 66.406 (68.527) Prec@5 85.938 (86.986) Epoch: [79][4970/10010] Time 0.304 (0.327) Data 0.001 (0.001) Loss 1.2061 (1.3528) Prec@1 70.312 (68.529) Prec@5 91.406 (86.989) Epoch: [79][4980/10010] Time 0.318 (0.327) Data 0.001 (0.001) Loss 1.4793 (1.3530) Prec@1 66.406 (68.526) Prec@5 85.938 (86.988) Epoch: [79][4990/10010] Time 0.317 (0.327) Data 0.001 (0.001) Loss 1.4054 (1.3530) Prec@1 62.500 (68.522) Prec@5 89.062 (86.988) Epoch: [79][5000/10010] Time 0.323 (0.327) Data 0.001 (0.001) Loss 1.5232 (1.3532) Prec@1 64.062 (68.518) Prec@5 85.938 (86.984) Epoch: [79][5010/10010] Time 0.314 (0.327) Data 0.000 (0.001) Loss 1.4283 (1.3534) Prec@1 67.188 (68.517) Prec@5 85.156 (86.978) Epoch: [79][5020/10010] Time 0.314 (0.327) Data 0.001 (0.001) Loss 1.5436 (1.3534) Prec@1 64.844 (68.516) Prec@5 86.719 (86.977) Epoch: [79][5030/10010] Time 0.315 (0.327) Data 0.001 (0.001) Loss 1.6014 (1.3535) Prec@1 64.062 (68.514) Prec@5 84.375 (86.977) Epoch: [79][5040/10010] Time 0.328 (0.327) Data 0.001 (0.001) Loss 1.5508 (1.3535) Prec@1 66.406 (68.515) Prec@5 84.375 (86.979) Epoch: [79][5050/10010] Time 0.328 (0.327) Data 0.001 (0.001) Loss 1.0247 (1.3534) Prec@1 78.125 (68.518) Prec@5 90.625 (86.981) Epoch: [79][5060/10010] Time 0.337 (0.327) Data 0.001 (0.001) Loss 1.1460 (1.3533) Prec@1 71.875 (68.518) Prec@5 89.844 (86.980) Epoch: [79][5070/10010] Time 0.319 (0.327) Data 0.001 (0.001) Loss 1.7692 (1.3534) Prec@1 64.062 (68.514) Prec@5 80.469 (86.980) Epoch: [79][5080/10010] Time 0.320 (0.327) Data 0.000 (0.001) Loss 1.3362 (1.3536) Prec@1 69.531 (68.510) Prec@5 87.500 (86.976) Epoch: [79][5090/10010] Time 0.336 (0.327) Data 0.000 (0.001) Loss 1.3756 (1.3535) Prec@1 66.406 (68.511) Prec@5 86.719 (86.978) Epoch: [79][5100/10010] Time 0.334 (0.327) Data 0.001 (0.001) Loss 1.2837 (1.3533) Prec@1 69.531 (68.513) Prec@5 85.156 (86.980) Epoch: [79][5110/10010] Time 0.315 (0.327) Data 0.000 (0.001) Loss 1.5521 (1.3534) Prec@1 62.500 (68.509) Prec@5 84.375 (86.979) Epoch: [79][5120/10010] Time 0.339 (0.327) Data 0.000 (0.001) Loss 1.1719 (1.3534) Prec@1 72.656 (68.510) Prec@5 90.625 (86.982) Epoch: [79][5130/10010] Time 0.323 (0.327) Data 0.001 (0.001) Loss 1.2328 (1.3534) Prec@1 69.531 (68.511) Prec@5 87.500 (86.980) Epoch: [79][5140/10010] Time 0.338 (0.327) Data 0.000 (0.001) Loss 1.4624 (1.3535) Prec@1 65.625 (68.511) Prec@5 85.938 (86.981) Epoch: [79][5150/10010] Time 0.322 (0.327) Data 0.001 (0.001) Loss 1.3585 (1.3535) Prec@1 68.750 (68.511) Prec@5 89.844 (86.980) Epoch: [79][5160/10010] Time 0.334 (0.327) Data 0.001 (0.001) Loss 1.4303 (1.3535) Prec@1 64.844 (68.511) Prec@5 86.719 (86.979) Epoch: [79][5170/10010] Time 0.318 (0.327) Data 0.001 (0.001) Loss 1.3145 (1.3537) Prec@1 71.094 (68.510) Prec@5 85.938 (86.978) Epoch: [79][5180/10010] Time 0.322 (0.327) Data 0.002 (0.001) Loss 1.7925 (1.3538) Prec@1 63.281 (68.508) Prec@5 82.812 (86.977) Epoch: [79][5190/10010] Time 0.334 (0.327) Data 0.000 (0.001) Loss 1.5073 (1.3540) Prec@1 67.188 (68.503) Prec@5 85.156 (86.974) /data/vision/torralba/deepscene/lib/anaconda2/lib/python2.7/site-packages/PIL/TiffImagePlugin.py:692: UserWarning: Possibly corrupt EXIF data. Expecting to read 2555904 bytes but only got 0. Skipping tag 0 "Skipping tag %s" % (size, len(data), tag)) Epoch: [79][5200/10010] Time 0.333 (0.327) Data 0.001 (0.001) Loss 1.8613 (1.3541) Prec@1 60.156 (68.502) Prec@5 78.906 (86.974) Epoch: [79][5210/10010] Time 0.338 (0.327) Data 0.001 (0.001) Loss 1.7317 (1.3541) Prec@1 61.719 (68.504) Prec@5 81.250 (86.974) Epoch: [79][5220/10010] Time 0.322 (0.327) Data 0.001 (0.001) Loss 1.1818 (1.3543) Prec@1 71.094 (68.503) Prec@5 87.500 (86.972) Epoch: [79][5230/10010] Time 0.340 (0.327) Data 0.001 (0.001) Loss 1.4809 (1.3543) Prec@1 66.406 (68.503) Prec@5 86.719 (86.972) Epoch: [79][5240/10010] Time 0.309 (0.327) Data 0.000 (0.001) Loss 1.4449 (1.3543) Prec@1 69.531 (68.501) Prec@5 85.156 (86.970) Epoch: [79][5250/10010] Time 0.326 (0.327) Data 0.000 (0.001) Loss 1.1302 (1.3543) Prec@1 76.562 (68.504) Prec@5 91.406 (86.970) Epoch: [79][5260/10010] Time 0.336 (0.327) Data 0.001 (0.001) Loss 1.3583 (1.3544) Prec@1 66.406 (68.501) Prec@5 86.719 (86.970) Epoch: [79][5270/10010] Time 0.317 (0.327) Data 0.001 (0.001) Loss 1.5118 (1.3545) Prec@1 68.750 (68.494) Prec@5 85.156 (86.969) Epoch: [79][5280/10010] Time 0.317 (0.327) Data 0.001 (0.001) Loss 1.5271 (1.3545) Prec@1 72.656 (68.497) Prec@5 85.938 (86.968) Epoch: [79][5290/10010] Time 0.318 (0.327) Data 0.000 (0.001) Loss 1.3480 (1.3544) Prec@1 71.875 (68.499) Prec@5 88.281 (86.972) Epoch: [79][5300/10010] Time 0.308 (0.327) Data 0.001 (0.001) Loss 1.5976 (1.3544) Prec@1 68.750 (68.501) Prec@5 82.031 (86.971) Epoch: [79][5310/10010] Time 0.334 (0.327) Data 0.001 (0.001) Loss 1.2493 (1.3544) Prec@1 69.531 (68.499) Prec@5 86.719 (86.969) Epoch: [79][5320/10010] Time 0.315 (0.327) Data 0.001 (0.001) Loss 1.5276 (1.3544) Prec@1 71.094 (68.499) Prec@5 86.719 (86.969) Epoch: [79][5330/10010] Time 0.319 (0.327) Data 0.001 (0.001) Loss 1.4102 (1.3545) Prec@1 67.969 (68.502) Prec@5 89.844 (86.969) Epoch: [79][5340/10010] Time 0.316 (0.327) Data 0.001 (0.001) Loss 1.7499 (1.3546) Prec@1 63.281 (68.502) Prec@5 78.906 (86.968) Epoch: [79][5350/10010] Time 0.334 (0.327) Data 0.000 (0.001) Loss 1.2750 (1.3547) Prec@1 67.969 (68.499) Prec@5 88.281 (86.965) Epoch: [79][5360/10010] Time 0.317 (0.327) Data 0.000 (0.001) Loss 1.1518 (1.3548) Prec@1 71.094 (68.501) Prec@5 89.062 (86.965) Epoch: [79][5370/10010] Time 0.320 (0.327) Data 0.001 (0.001) Loss 1.3288 (1.3549) Prec@1 71.094 (68.500) Prec@5 88.281 (86.963) Epoch: [79][5380/10010] Time 0.338 (0.327) Data 0.000 (0.001) Loss 1.4345 (1.3550) Prec@1 70.312 (68.499) Prec@5 85.156 (86.960) Epoch: [79][5390/10010] Time 0.337 (0.327) Data 0.001 (0.001) Loss 1.4231 (1.3549) Prec@1 66.406 (68.502) Prec@5 85.938 (86.961) Epoch: [79][5400/10010] Time 0.327 (0.327) Data 0.000 (0.001) Loss 1.4608 (1.3548) Prec@1 63.281 (68.507) Prec@5 87.500 (86.960) Epoch: [79][5410/10010] Time 0.320 (0.327) Data 0.001 (0.001) Loss 1.3704 (1.3548) Prec@1 70.312 (68.505) Prec@5 86.719 (86.961) Epoch: [79][5420/10010] Time 0.325 (0.327) Data 0.001 (0.001) Loss 1.0297 (1.3548) Prec@1 75.000 (68.507) Prec@5 90.625 (86.959) Epoch: [79][5430/10010] Time 0.326 (0.327) Data 0.001 (0.001) Loss 1.3710 (1.3549) Prec@1 67.969 (68.503) Prec@5 85.938 (86.957) Epoch: [79][5440/10010] Time 0.334 (0.327) Data 0.000 (0.001) Loss 1.3434 (1.3550) Prec@1 68.750 (68.501) Prec@5 86.719 (86.957) Epoch: [79][5450/10010] Time 0.340 (0.327) Data 0.001 (0.001) Loss 1.5584 (1.3550) Prec@1 67.969 (68.500) Prec@5 85.938 (86.957) Epoch: [79][5460/10010] Time 0.333 (0.327) Data 0.001 (0.001) Loss 1.4687 (1.3549) Prec@1 70.312 (68.504) Prec@5 85.938 (86.959) Epoch: [79][5470/10010] Time 0.311 (0.327) Data 0.001 (0.001) Loss 1.2652 (1.3550) Prec@1 71.875 (68.506) Prec@5 89.062 (86.957) Epoch: [79][5480/10010] Time 0.315 (0.327) Data 0.001 (0.001) Loss 1.6316 (1.3551) Prec@1 64.844 (68.508) Prec@5 82.031 (86.956) Epoch: [79][5490/10010] Time 0.327 (0.327) Data 0.001 (0.001) Loss 1.3299 (1.3549) Prec@1 68.750 (68.508) Prec@5 84.375 (86.958) Epoch: [79][5500/10010] Time 0.340 (0.327) Data 0.001 (0.001) Loss 1.1195 (1.3548) Prec@1 71.094 (68.506) Prec@5 89.062 (86.960) Epoch: [79][5510/10010] Time 0.315 (0.327) Data 0.001 (0.001) Loss 1.2837 (1.3550) Prec@1 71.094 (68.503) Prec@5 88.281 (86.957) Epoch: [79][5520/10010] Time 0.324 (0.327) Data 0.001 (0.001) Loss 1.3014 (1.3551) Prec@1 68.750 (68.501) Prec@5 89.844 (86.956) Epoch: [79][5530/10010] Time 0.317 (0.327) Data 0.001 (0.001) Loss 1.4061 (1.3551) Prec@1 60.938 (68.497) Prec@5 86.719 (86.955) Epoch: [79][5540/10010] Time 0.339 (0.327) Data 0.001 (0.001) Loss 1.5458 (1.3551) Prec@1 63.281 (68.498) Prec@5 85.156 (86.955) Epoch: [79][5550/10010] Time 0.316 (0.327) Data 0.001 (0.001) Loss 1.4595 (1.3553) Prec@1 67.969 (68.495) Prec@5 84.375 (86.952) Epoch: [79][5560/10010] Time 0.319 (0.327) Data 0.001 (0.001) Loss 1.1655 (1.3552) Prec@1 69.531 (68.496) Prec@5 88.281 (86.953) Epoch: [79][5570/10010] Time 0.322 (0.327) Data 0.001 (0.001) Loss 1.2743 (1.3553) Prec@1 71.094 (68.496) Prec@5 87.500 (86.953) Epoch: [79][5580/10010] Time 0.332 (0.327) Data 0.001 (0.001) Loss 1.5310 (1.3552) Prec@1 67.188 (68.497) Prec@5 81.250 (86.954) Epoch: [79][5590/10010] Time 0.336 (0.327) Data 0.001 (0.001) Loss 1.6293 (1.3551) Prec@1 61.719 (68.500) Prec@5 85.938 (86.956) Epoch: [79][5600/10010] Time 0.319 (0.327) Data 0.001 (0.001) Loss 1.4223 (1.3551) Prec@1 70.312 (68.499) Prec@5 84.375 (86.958) Epoch: [79][5610/10010] Time 0.336 (0.327) Data 0.000 (0.001) Loss 1.3860 (1.3551) Prec@1 70.312 (68.499) Prec@5 89.844 (86.958) Epoch: [79][5620/10010] Time 0.309 (0.327) Data 0.001 (0.001) Loss 1.2373 (1.3551) Prec@1 63.281 (68.496) Prec@5 90.625 (86.960) Epoch: [79][5630/10010] Time 0.329 (0.327) Data 0.001 (0.001) Loss 1.2371 (1.3551) Prec@1 72.656 (68.497) Prec@5 88.281 (86.960) Epoch: [79][5640/10010] Time 0.317 (0.327) Data 0.000 (0.001) Loss 1.1727 (1.3550) Prec@1 69.531 (68.499) Prec@5 89.844 (86.963) Epoch: [79][5650/10010] Time 0.312 (0.327) Data 0.001 (0.001) Loss 1.3464 (1.3549) Prec@1 70.312 (68.502) Prec@5 88.281 (86.964) Epoch: [79][5660/10010] Time 0.330 (0.327) Data 0.001 (0.001) Loss 1.3843 (1.3548) Prec@1 70.312 (68.504) Prec@5 85.938 (86.966) Epoch: [79][5670/10010] Time 0.324 (0.327) Data 0.001 (0.001) Loss 1.4022 (1.3549) Prec@1 68.750 (68.501) Prec@5 87.500 (86.964) Epoch: [79][5680/10010] Time 0.328 (0.327) Data 0.001 (0.001) Loss 1.4702 (1.3548) Prec@1 64.062 (68.501) Prec@5 86.719 (86.966) Epoch: [79][5690/10010] Time 0.322 (0.327) Data 0.001 (0.001) Loss 1.2849 (1.3549) Prec@1 67.188 (68.499) Prec@5 90.625 (86.965) Epoch: [79][5700/10010] Time 0.323 (0.327) Data 0.001 (0.001) Loss 1.2075 (1.3549) Prec@1 72.656 (68.498) Prec@5 88.281 (86.965) Epoch: [79][5710/10010] Time 0.322 (0.327) Data 0.000 (0.001) Loss 1.2542 (1.3549) Prec@1 75.781 (68.499) Prec@5 90.625 (86.966) Epoch: [79][5720/10010] Time 0.322 (0.327) Data 0.001 (0.001) Loss 1.4776 (1.3549) Prec@1 62.500 (68.499) Prec@5 84.375 (86.966) Epoch: [79][5730/10010] Time 0.318 (0.327) Data 0.001 (0.001) Loss 1.5599 (1.3550) Prec@1 66.406 (68.500) Prec@5 83.594 (86.964) Epoch: [79][5740/10010] Time 0.339 (0.327) Data 0.001 (0.001) Loss 1.5191 (1.3551) Prec@1 66.406 (68.497) Prec@5 83.594 (86.961) Epoch: [79][5750/10010] Time 0.336 (0.327) Data 0.001 (0.001) Loss 1.5929 (1.3551) Prec@1 65.625 (68.495) Prec@5 85.156 (86.959) Epoch: [79][5760/10010] Time 0.330 (0.327) Data 0.001 (0.001) Loss 1.2199 (1.3552) Prec@1 71.875 (68.494) Prec@5 89.062 (86.960) Epoch: [79][5770/10010] Time 0.331 (0.327) Data 0.001 (0.001) Loss 1.8897 (1.3553) Prec@1 57.812 (68.489) Prec@5 80.469 (86.959) Epoch: [79][5780/10010] Time 0.323 (0.327) Data 0.001 (0.001) Loss 1.5601 (1.3553) Prec@1 65.625 (68.492) Prec@5 89.062 (86.959) Epoch: [79][5790/10010] Time 0.327 (0.327) Data 0.001 (0.001) Loss 1.6483 (1.3554) Prec@1 60.938 (68.488) Prec@5 83.594 (86.958) Epoch: [79][5800/10010] Time 0.335 (0.327) Data 0.001 (0.001) Loss 1.4281 (1.3553) Prec@1 65.625 (68.490) Prec@5 84.375 (86.956) Epoch: [79][5810/10010] Time 0.319 (0.327) Data 0.001 (0.001) Loss 1.2449 (1.3553) Prec@1 73.438 (68.491) Prec@5 85.938 (86.957) Epoch: [79][5820/10010] Time 0.340 (0.327) Data 0.000 (0.001) Loss 1.5980 (1.3553) Prec@1 64.844 (68.490) Prec@5 81.250 (86.958) Epoch: [79][5830/10010] Time 0.322 (0.327) Data 0.000 (0.001) Loss 1.3349 (1.3553) Prec@1 71.875 (68.487) Prec@5 89.062 (86.958) Epoch: [79][5840/10010] Time 0.321 (0.327) Data 0.001 (0.001) Loss 1.1582 (1.3554) Prec@1 68.750 (68.485) Prec@5 89.062 (86.958) Epoch: [79][5850/10010] Time 0.319 (0.327) Data 0.000 (0.001) Loss 1.2171 (1.3554) Prec@1 71.094 (68.487) Prec@5 89.062 (86.957) Epoch: [79][5860/10010] Time 0.325 (0.327) Data 0.001 (0.001) Loss 1.6096 (1.3556) Prec@1 61.719 (68.483) Prec@5 82.031 (86.955) Epoch: [79][5870/10010] Time 0.315 (0.327) Data 0.001 (0.001) Loss 1.1956 (1.3555) Prec@1 73.438 (68.484) Prec@5 93.750 (86.957) Epoch: [79][5880/10010] Time 0.313 (0.327) Data 0.001 (0.001) Loss 1.4926 (1.3555) Prec@1 71.094 (68.484) Prec@5 86.719 (86.956) Epoch: [79][5890/10010] Time 0.323 (0.327) Data 0.000 (0.001) Loss 1.2893 (1.3556) Prec@1 68.750 (68.481) Prec@5 89.062 (86.955) Epoch: [79][5900/10010] Time 0.323 (0.327) Data 0.001 (0.001) Loss 1.4270 (1.3557) Prec@1 70.312 (68.481) Prec@5 85.938 (86.952) Epoch: [79][5910/10010] Time 0.338 (0.327) Data 0.001 (0.001) Loss 1.1238 (1.3558) Prec@1 72.656 (68.477) Prec@5 92.188 (86.951) Epoch: [79][5920/10010] Time 0.317 (0.327) Data 0.000 (0.001) Loss 1.1183 (1.3558) Prec@1 75.781 (68.476) Prec@5 89.844 (86.952) Epoch: [79][5930/10010] Time 0.310 (0.327) Data 0.001 (0.001) Loss 1.2738 (1.3558) Prec@1 67.969 (68.474) Prec@5 89.062 (86.952) Epoch: [79][5940/10010] Time 0.321 (0.327) Data 0.001 (0.001) Loss 1.2627 (1.3558) Prec@1 70.312 (68.471) Prec@5 89.062 (86.952) Epoch: [79][5950/10010] Time 0.342 (0.327) Data 0.001 (0.001) Loss 1.3887 (1.3558) Prec@1 65.625 (68.471) Prec@5 87.500 (86.952) Epoch: [79][5960/10010] Time 0.314 (0.327) Data 0.000 (0.001) Loss 1.4873 (1.3559) Prec@1 67.969 (68.469) Prec@5 85.938 (86.952) Epoch: [79][5970/10010] Time 0.339 (0.327) Data 0.001 (0.001) Loss 1.3533 (1.3559) Prec@1 73.438 (68.468) Prec@5 86.719 (86.951) Epoch: [79][5980/10010] Time 0.312 (0.327) Data 0.001 (0.001) Loss 1.4330 (1.3560) Prec@1 66.406 (68.466) Prec@5 82.812 (86.950) Epoch: [79][5990/10010] Time 0.322 (0.327) Data 0.000 (0.001) Loss 1.6248 (1.3560) Prec@1 64.062 (68.466) Prec@5 84.375 (86.949) Epoch: [79][6000/10010] Time 0.339 (0.327) Data 0.001 (0.001) Loss 1.1752 (1.3559) Prec@1 75.000 (68.468) Prec@5 89.062 (86.951) Epoch: [79][6010/10010] Time 0.319 (0.327) Data 0.001 (0.001) Loss 1.1842 (1.3561) Prec@1 73.438 (68.463) Prec@5 88.281 (86.947) Epoch: [79][6020/10010] Time 0.337 (0.327) Data 0.000 (0.001) Loss 1.1860 (1.3561) Prec@1 71.875 (68.463) Prec@5 92.188 (86.946) Epoch: [79][6030/10010] Time 0.334 (0.327) Data 0.001 (0.001) Loss 1.4491 (1.3561) Prec@1 65.625 (68.463) Prec@5 85.938 (86.947) Epoch: [79][6040/10010] Time 0.331 (0.327) Data 0.001 (0.001) Loss 1.6051 (1.3561) Prec@1 60.938 (68.462) Prec@5 83.594 (86.948) Epoch: [79][6050/10010] Time 0.313 (0.327) Data 0.001 (0.001) Loss 1.3464 (1.3560) Prec@1 68.750 (68.464) Prec@5 89.062 (86.950) Epoch: [79][6060/10010] Time 0.319 (0.327) Data 0.001 (0.001) Loss 1.2747 (1.3558) Prec@1 69.531 (68.468) Prec@5 87.500 (86.953) Epoch: [79][6070/10010] Time 0.320 (0.327) Data 0.001 (0.001) Loss 1.3945 (1.3558) Prec@1 69.531 (68.469) Prec@5 89.062 (86.953) Epoch: [79][6080/10010] Time 0.340 (0.327) Data 0.003 (0.001) Loss 1.3012 (1.3557) Prec@1 70.312 (68.471) Prec@5 89.062 (86.956) Epoch: [79][6090/10010] Time 0.338 (0.327) Data 0.001 (0.001) Loss 1.1990 (1.3554) Prec@1 73.438 (68.476) Prec@5 90.625 (86.960) Epoch: [79][6100/10010] Time 0.320 (0.327) Data 0.000 (0.001) Loss 0.8933 (1.3554) Prec@1 75.000 (68.477) Prec@5 94.531 (86.961) Epoch: [79][6110/10010] Time 0.337 (0.327) Data 0.001 (0.001) Loss 1.1324 (1.3554) Prec@1 71.875 (68.477) Prec@5 91.406 (86.961) Epoch: [79][6120/10010] Time 0.336 (0.327) Data 0.001 (0.001) Loss 1.5791 (1.3556) Prec@1 64.844 (68.474) Prec@5 82.031 (86.959) Epoch: [79][6130/10010] Time 0.334 (0.327) Data 0.001 (0.001) Loss 1.3036 (1.3555) Prec@1 74.219 (68.476) Prec@5 86.719 (86.961) Epoch: [79][6140/10010] Time 0.329 (0.327) Data 0.001 (0.001) Loss 1.4519 (1.3556) Prec@1 67.969 (68.473) Prec@5 85.156 (86.959) Epoch: [79][6150/10010] Time 0.310 (0.327) Data 0.000 (0.001) Loss 1.4870 (1.3557) Prec@1 70.312 (68.473) Prec@5 85.938 (86.960) Epoch: [79][6160/10010] Time 0.335 (0.327) Data 0.001 (0.001) Loss 1.1719 (1.3557) Prec@1 67.188 (68.471) Prec@5 89.844 (86.959) Epoch: [79][6170/10010] Time 0.336 (0.327) Data 0.001 (0.001) Loss 1.7660 (1.3558) Prec@1 60.938 (68.471) Prec@5 82.031 (86.957) Epoch: [79][6180/10010] Time 0.320 (0.327) Data 0.001 (0.001) Loss 1.2657 (1.3558) Prec@1 64.062 (68.470) Prec@5 85.156 (86.956) Epoch: [79][6190/10010] Time 0.318 (0.327) Data 0.001 (0.001) Loss 1.4868 (1.3558) Prec@1 65.625 (68.470) Prec@5 84.375 (86.956) Epoch: [79][6200/10010] Time 0.322 (0.327) Data 0.000 (0.001) Loss 1.3623 (1.3559) Prec@1 67.969 (68.468) Prec@5 88.281 (86.957) Epoch: [79][6210/10010] Time 0.326 (0.327) Data 0.001 (0.001) Loss 1.0468 (1.3559) Prec@1 78.906 (68.469) Prec@5 92.969 (86.958) Epoch: [79][6220/10010] Time 0.323 (0.327) Data 0.001 (0.001) Loss 1.5912 (1.3561) Prec@1 65.625 (68.467) Prec@5 82.031 (86.955) Epoch: [79][6230/10010] Time 0.321 (0.327) Data 0.000 (0.001) Loss 1.3489 (1.3561) Prec@1 67.188 (68.467) Prec@5 85.938 (86.955) Epoch: [79][6240/10010] Time 0.335 (0.327) Data 0.001 (0.001) Loss 1.3619 (1.3562) Prec@1 66.406 (68.466) Prec@5 85.938 (86.953) Epoch: [79][6250/10010] Time 0.342 (0.327) Data 0.001 (0.001) Loss 1.2805 (1.3562) Prec@1 72.656 (68.466) Prec@5 86.719 (86.953) Epoch: [79][6260/10010] Time 0.325 (0.327) Data 0.001 (0.001) Loss 1.3584 (1.3562) Prec@1 66.406 (68.465) Prec@5 83.594 (86.951) Epoch: [79][6270/10010] Time 0.311 (0.327) Data 0.001 (0.001) Loss 1.4795 (1.3561) Prec@1 64.062 (68.465) Prec@5 85.938 (86.954) Epoch: [79][6280/10010] Time 0.336 (0.327) Data 0.000 (0.001) Loss 1.3529 (1.3561) Prec@1 70.312 (68.466) Prec@5 88.281 (86.953) Epoch: [79][6290/10010] Time 0.332 (0.327) Data 0.001 (0.001) Loss 1.3030 (1.3562) Prec@1 71.094 (68.467) Prec@5 89.062 (86.951) Epoch: [79][6300/10010] Time 0.324 (0.327) Data 0.001 (0.001) Loss 1.0737 (1.3561) Prec@1 75.781 (68.470) Prec@5 89.844 (86.950) Epoch: [79][6310/10010] Time 0.338 (0.327) Data 0.000 (0.001) Loss 1.4474 (1.3562) Prec@1 74.219 (68.469) Prec@5 85.938 (86.951) Epoch: [79][6320/10010] Time 0.342 (0.327) Data 0.001 (0.001) Loss 1.4603 (1.3563) Prec@1 64.844 (68.465) Prec@5 87.500 (86.952) Epoch: [79][6330/10010] Time 0.337 (0.327) Data 0.001 (0.001) Loss 1.6208 (1.3564) Prec@1 64.844 (68.464) Prec@5 82.812 (86.950) Epoch: [79][6340/10010] Time 0.324 (0.327) Data 0.001 (0.001) Loss 1.2121 (1.3563) Prec@1 73.438 (68.466) Prec@5 85.156 (86.951) Epoch: [79][6350/10010] Time 0.323 (0.327) Data 0.000 (0.001) Loss 1.6305 (1.3564) Prec@1 60.938 (68.464) Prec@5 81.250 (86.949) Epoch: [79][6360/10010] Time 0.313 (0.327) Data 0.001 (0.001) Loss 1.3937 (1.3564) Prec@1 64.062 (68.464) Prec@5 86.719 (86.949) Epoch: [79][6370/10010] Time 0.340 (0.327) Data 0.001 (0.001) Loss 1.4265 (1.3563) Prec@1 69.531 (68.466) Prec@5 84.375 (86.950) Epoch: [79][6380/10010] Time 0.323 (0.327) Data 0.001 (0.001) Loss 1.4284 (1.3561) Prec@1 63.281 (68.469) Prec@5 88.281 (86.953) Epoch: [79][6390/10010] Time 0.317 (0.327) Data 0.001 (0.001) Loss 1.2683 (1.3561) Prec@1 69.531 (68.469) Prec@5 86.719 (86.953) Epoch: [79][6400/10010] Time 0.338 (0.327) Data 0.001 (0.001) Loss 1.2500 (1.3560) Prec@1 64.844 (68.472) Prec@5 89.062 (86.955) Epoch: [79][6410/10010] Time 0.338 (0.327) Data 0.000 (0.001) Loss 1.4591 (1.3561) Prec@1 64.062 (68.469) Prec@5 85.156 (86.955) Epoch: [79][6420/10010] Time 0.329 (0.327) Data 0.001 (0.001) Loss 1.2037 (1.3560) Prec@1 70.312 (68.472) Prec@5 88.281 (86.957) Epoch: [79][6430/10010] Time 0.334 (0.327) Data 0.001 (0.001) Loss 1.1662 (1.3560) Prec@1 76.562 (68.473) Prec@5 90.625 (86.956) Epoch: [79][6440/10010] Time 0.314 (0.327) Data 0.001 (0.001) Loss 1.1883 (1.3558) Prec@1 69.531 (68.475) Prec@5 89.062 (86.958) Epoch: [79][6450/10010] Time 0.317 (0.327) Data 0.001 (0.001) Loss 1.1904 (1.3558) Prec@1 72.656 (68.476) Prec@5 89.844 (86.957) Epoch: [79][6460/10010] Time 0.318 (0.327) Data 0.001 (0.001) Loss 1.3621 (1.3559) Prec@1 67.969 (68.474) Prec@5 83.594 (86.955) Epoch: [79][6470/10010] Time 0.322 (0.327) Data 0.000 (0.001) Loss 1.2334 (1.3558) Prec@1 69.531 (68.475) Prec@5 92.188 (86.956) Epoch: [79][6480/10010] Time 0.329 (0.327) Data 0.000 (0.001) Loss 1.3243 (1.3557) Prec@1 68.750 (68.476) Prec@5 86.719 (86.958) Epoch: [79][6490/10010] Time 0.338 (0.327) Data 0.001 (0.001) Loss 1.6558 (1.3558) Prec@1 67.188 (68.477) Prec@5 79.688 (86.957) Epoch: [79][6500/10010] Time 0.316 (0.327) Data 0.001 (0.001) Loss 1.2841 (1.3557) Prec@1 71.094 (68.478) Prec@5 87.500 (86.958) Epoch: [79][6510/10010] Time 0.340 (0.327) Data 0.001 (0.001) Loss 1.4868 (1.3558) Prec@1 64.062 (68.476) Prec@5 86.719 (86.958) Epoch: [79][6520/10010] Time 0.332 (0.327) Data 0.001 (0.001) Loss 1.1274 (1.3557) Prec@1 73.438 (68.476) Prec@5 92.188 (86.961) Epoch: [79][6530/10010] Time 0.322 (0.327) Data 0.000 (0.001) Loss 1.3743 (1.3557) Prec@1 64.062 (68.475) Prec@5 92.188 (86.962) Epoch: [79][6540/10010] Time 0.332 (0.327) Data 0.001 (0.001) Loss 1.2029 (1.3558) Prec@1 67.969 (68.473) Prec@5 87.500 (86.961) Epoch: [79][6550/10010] Time 0.331 (0.327) Data 0.001 (0.001) Loss 1.1623 (1.3559) Prec@1 72.656 (68.470) Prec@5 89.844 (86.961) Epoch: [79][6560/10010] Time 0.336 (0.327) Data 0.001 (0.001) Loss 1.2751 (1.3557) Prec@1 66.406 (68.472) Prec@5 87.500 (86.963) Epoch: [79][6570/10010] Time 0.334 (0.327) Data 0.001 (0.001) Loss 1.2128 (1.3557) Prec@1 67.969 (68.470) Prec@5 85.938 (86.962) Epoch: [79][6580/10010] Time 0.335 (0.327) Data 0.001 (0.001) Loss 1.3913 (1.3558) Prec@1 70.312 (68.471) Prec@5 83.594 (86.961) Epoch: [79][6590/10010] Time 0.319 (0.327) Data 0.000 (0.001) Loss 1.3436 (1.3557) Prec@1 70.312 (68.473) Prec@5 85.938 (86.962) Epoch: [79][6600/10010] Time 0.321 (0.327) Data 0.001 (0.001) Loss 1.6086 (1.3557) Prec@1 64.062 (68.471) Prec@5 83.594 (86.962) Epoch: [79][6610/10010] Time 0.319 (0.327) Data 0.001 (0.001) Loss 1.2000 (1.3556) Prec@1 69.531 (68.474) Prec@5 85.938 (86.962) Epoch: [79][6620/10010] Time 0.340 (0.327) Data 0.001 (0.001) Loss 1.3797 (1.3556) Prec@1 66.406 (68.474) Prec@5 88.281 (86.963) Epoch: [79][6630/10010] Time 0.320 (0.327) Data 0.001 (0.001) Loss 1.4170 (1.3556) Prec@1 64.844 (68.474) Prec@5 87.500 (86.965) Epoch: [79][6640/10010] Time 0.334 (0.327) Data 0.001 (0.001) Loss 1.3576 (1.3556) Prec@1 63.281 (68.472) Prec@5 89.844 (86.965) Epoch: [79][6650/10010] Time 0.325 (0.327) Data 0.000 (0.001) Loss 1.3773 (1.3557) Prec@1 70.312 (68.473) Prec@5 85.156 (86.965) Epoch: [79][6660/10010] Time 0.321 (0.327) Data 0.001 (0.001) Loss 1.5273 (1.3557) Prec@1 61.719 (68.474) Prec@5 84.375 (86.964) Epoch: [79][6670/10010] Time 0.320 (0.327) Data 0.000 (0.001) Loss 1.3784 (1.3557) Prec@1 64.062 (68.474) Prec@5 86.719 (86.965) Epoch: [79][6680/10010] Time 0.330 (0.327) Data 0.001 (0.001) Loss 1.3597 (1.3557) Prec@1 71.875 (68.475) Prec@5 87.500 (86.964) Epoch: [79][6690/10010] Time 0.327 (0.327) Data 0.001 (0.001) Loss 1.1306 (1.3556) Prec@1 68.750 (68.477) Prec@5 91.406 (86.967) Epoch: [79][6700/10010] Time 0.314 (0.327) Data 0.001 (0.001) Loss 1.5373 (1.3556) Prec@1 64.844 (68.479) Prec@5 83.594 (86.966) Epoch: [79][6710/10010] Time 0.321 (0.327) Data 0.001 (0.001) Loss 1.3500 (1.3556) Prec@1 66.406 (68.480) Prec@5 88.281 (86.966) Epoch: [79][6720/10010] Time 0.308 (0.327) Data 0.000 (0.001) Loss 1.1088 (1.3556) Prec@1 72.656 (68.483) Prec@5 89.062 (86.966) Epoch: [79][6730/10010] Time 0.319 (0.327) Data 0.000 (0.001) Loss 1.0981 (1.3554) Prec@1 73.438 (68.485) Prec@5 90.625 (86.968) Epoch: [79][6740/10010] Time 0.323 (0.327) Data 0.001 (0.001) Loss 1.1609 (1.3554) Prec@1 71.094 (68.485) Prec@5 90.625 (86.970) Epoch: [79][6750/10010] Time 0.330 (0.327) Data 0.000 (0.001) Loss 1.3724 (1.3554) Prec@1 68.750 (68.486) Prec@5 85.156 (86.969) Epoch: [79][6760/10010] Time 0.317 (0.327) Data 0.001 (0.001) Loss 1.2678 (1.3554) Prec@1 65.625 (68.486) Prec@5 89.844 (86.968) Epoch: [79][6770/10010] Time 0.330 (0.327) Data 0.001 (0.001) Loss 1.2012 (1.3553) Prec@1 67.969 (68.486) Prec@5 88.281 (86.970) Epoch: [79][6780/10010] Time 0.324 (0.327) Data 0.001 (0.001) Loss 1.2746 (1.3552) Prec@1 71.875 (68.487) Prec@5 87.500 (86.973) Epoch: [79][6790/10010] Time 0.340 (0.327) Data 0.001 (0.001) Loss 1.4641 (1.3551) Prec@1 67.188 (68.488) Prec@5 82.812 (86.974) Epoch: [79][6800/10010] Time 0.324 (0.327) Data 0.000 (0.001) Loss 1.6740 (1.3551) Prec@1 52.344 (68.489) Prec@5 83.594 (86.975) Epoch: [79][6810/10010] Time 0.332 (0.327) Data 0.000 (0.001) Loss 1.5299 (1.3550) Prec@1 67.969 (68.489) Prec@5 82.812 (86.974) Epoch: [79][6820/10010] Time 0.338 (0.327) Data 0.001 (0.001) Loss 1.3627 (1.3550) Prec@1 67.188 (68.488) Prec@5 87.500 (86.973) Epoch: [79][6830/10010] Time 0.320 (0.327) Data 0.001 (0.001) Loss 1.2736 (1.3550) Prec@1 67.969 (68.487) Prec@5 89.062 (86.974) Epoch: [79][6840/10010] Time 0.313 (0.327) Data 0.001 (0.001) Loss 1.3321 (1.3551) Prec@1 71.875 (68.484) Prec@5 85.156 (86.973) Epoch: [79][6850/10010] Time 0.328 (0.327) Data 0.001 (0.001) Loss 1.3537 (1.3551) Prec@1 70.312 (68.482) Prec@5 88.281 (86.972) Epoch: [79][6860/10010] Time 0.332 (0.327) Data 0.001 (0.001) Loss 1.4582 (1.3551) Prec@1 67.188 (68.483) Prec@5 81.250 (86.971) Epoch: [79][6870/10010] Time 0.332 (0.327) Data 0.000 (0.001) Loss 1.4774 (1.3551) Prec@1 66.406 (68.481) Prec@5 84.375 (86.972) Epoch: [79][6880/10010] Time 0.326 (0.327) Data 0.001 (0.001) Loss 1.3480 (1.3553) Prec@1 68.750 (68.481) Prec@5 85.156 (86.970) Epoch: [79][6890/10010] Time 0.337 (0.327) Data 0.000 (0.001) Loss 1.3333 (1.3553) Prec@1 67.188 (68.479) Prec@5 90.625 (86.970) Epoch: [79][6900/10010] Time 0.328 (0.327) Data 0.001 (0.001) Loss 1.4462 (1.3553) Prec@1 66.406 (68.479) Prec@5 85.156 (86.970) Epoch: [79][6910/10010] Time 0.311 (0.327) Data 0.001 (0.001) Loss 1.3942 (1.3553) Prec@1 69.531 (68.478) Prec@5 85.938 (86.970) Epoch: [79][6920/10010] Time 0.325 (0.327) Data 0.001 (0.001) Loss 1.7224 (1.3553) Prec@1 61.719 (68.479) Prec@5 77.344 (86.968) Epoch: [79][6930/10010] Time 0.327 (0.327) Data 0.001 (0.001) Loss 1.8146 (1.3554) Prec@1 63.281 (68.475) Prec@5 83.594 (86.967) Epoch: [79][6940/10010] Time 0.333 (0.327) Data 0.000 (0.001) Loss 1.5805 (1.3553) Prec@1 64.844 (68.478) Prec@5 81.250 (86.967) Epoch: [79][6950/10010] Time 0.330 (0.327) Data 0.001 (0.001) Loss 1.4463 (1.3553) Prec@1 65.625 (68.478) Prec@5 87.500 (86.968) Epoch: [79][6960/10010] Time 0.331 (0.327) Data 0.001 (0.001) Loss 1.4173 (1.3554) Prec@1 73.438 (68.479) Prec@5 85.938 (86.968) Epoch: [79][6970/10010] Time 0.333 (0.327) Data 0.001 (0.001) Loss 1.4245 (1.3555) Prec@1 69.531 (68.479) Prec@5 84.375 (86.967) Epoch: [79][6980/10010] Time 0.334 (0.327) Data 0.001 (0.001) Loss 1.2980 (1.3555) Prec@1 74.219 (68.477) Prec@5 87.500 (86.966) Epoch: [79][6990/10010] Time 0.319 (0.327) Data 0.001 (0.001) Loss 1.3404 (1.3555) Prec@1 68.750 (68.476) Prec@5 84.375 (86.964) Epoch: [79][7000/10010] Time 0.335 (0.327) Data 0.001 (0.001) Loss 1.1583 (1.3555) Prec@1 71.875 (68.477) Prec@5 89.062 (86.964) Epoch: [79][7010/10010] Time 0.313 (0.327) Data 0.001 (0.001) Loss 1.2871 (1.3555) Prec@1 68.750 (68.477) Prec@5 89.062 (86.964) Epoch: [79][7020/10010] Time 0.323 (0.327) Data 0.001 (0.001) Loss 1.4736 (1.3555) Prec@1 62.500 (68.477) Prec@5 85.938 (86.964) Epoch: [79][7030/10010] Time 0.330 (0.327) Data 0.001 (0.001) Loss 1.3105 (1.3557) Prec@1 67.969 (68.473) Prec@5 89.844 (86.961) Epoch: [79][7040/10010] Time 0.326 (0.327) Data 0.001 (0.001) Loss 1.5797 (1.3558) Prec@1 64.844 (68.472) Prec@5 82.812 (86.960) Epoch: [79][7050/10010] Time 0.322 (0.327) Data 0.001 (0.001) Loss 1.5358 (1.3559) Prec@1 65.625 (68.471) Prec@5 85.156 (86.959) Epoch: [79][7060/10010] Time 0.333 (0.327) Data 0.000 (0.001) Loss 1.4185 (1.3559) Prec@1 67.188 (68.471) Prec@5 87.500 (86.960) Epoch: [79][7070/10010] Time 0.318 (0.327) Data 0.001 (0.001) Loss 1.4417 (1.3561) Prec@1 69.531 (68.467) Prec@5 85.938 (86.957) Epoch: [79][7080/10010] Time 0.319 (0.327) Data 0.001 (0.001) Loss 1.4673 (1.3562) Prec@1 63.281 (68.467) Prec@5 84.375 (86.955) Epoch: [79][7090/10010] Time 0.339 (0.327) Data 0.001 (0.001) Loss 1.2264 (1.3562) Prec@1 64.062 (68.466) Prec@5 89.062 (86.955) Epoch: [79][7100/10010] Time 0.340 (0.327) Data 0.001 (0.001) Loss 1.2123 (1.3562) Prec@1 67.969 (68.465) Prec@5 89.062 (86.954) Epoch: [79][7110/10010] Time 0.339 (0.327) Data 0.001 (0.001) Loss 1.2358 (1.3561) Prec@1 71.875 (68.467) Prec@5 86.719 (86.955) Epoch: [79][7120/10010] Time 0.339 (0.327) Data 0.001 (0.001) Loss 1.3828 (1.3560) Prec@1 64.844 (68.469) Prec@5 86.719 (86.956) Epoch: [79][7130/10010] Time 0.336 (0.327) Data 0.001 (0.001) Loss 1.2618 (1.3560) Prec@1 64.062 (68.467) Prec@5 89.844 (86.956) Epoch: [79][7140/10010] Time 0.331 (0.327) Data 0.000 (0.001) Loss 1.2339 (1.3561) Prec@1 70.312 (68.465) Prec@5 85.938 (86.954) Epoch: [79][7150/10010] Time 0.337 (0.327) Data 0.001 (0.001) Loss 1.6475 (1.3561) Prec@1 63.281 (68.463) Prec@5 85.156 (86.955) Epoch: [79][7160/10010] Time 0.343 (0.327) Data 0.000 (0.001) Loss 1.4423 (1.3562) Prec@1 63.281 (68.460) Prec@5 85.156 (86.955) Epoch: [79][7170/10010] Time 0.317 (0.327) Data 0.000 (0.001) Loss 1.4306 (1.3561) Prec@1 65.625 (68.461) Prec@5 85.938 (86.956) Epoch: [79][7180/10010] Time 0.341 (0.327) Data 0.000 (0.001) Loss 1.3356 (1.3561) Prec@1 66.406 (68.462) Prec@5 87.500 (86.957) Epoch: [79][7190/10010] Time 0.339 (0.327) Data 0.001 (0.001) Loss 1.2122 (1.3561) Prec@1 71.875 (68.463) Prec@5 88.281 (86.956) Epoch: [79][7200/10010] Time 0.333 (0.327) Data 0.001 (0.001) Loss 1.3984 (1.3560) Prec@1 67.188 (68.464) Prec@5 87.500 (86.955) Epoch: [79][7210/10010] Time 0.339 (0.327) Data 0.001 (0.001) Loss 1.5482 (1.3561) Prec@1 61.719 (68.463) Prec@5 82.812 (86.954) Epoch: [79][7220/10010] Time 0.316 (0.327) Data 0.001 (0.001) Loss 1.1533 (1.3561) Prec@1 74.219 (68.466) Prec@5 89.844 (86.954) Epoch: [79][7230/10010] Time 0.317 (0.327) Data 0.001 (0.001) Loss 1.2396 (1.3562) Prec@1 69.531 (68.462) Prec@5 90.625 (86.954) Epoch: [79][7240/10010] Time 0.341 (0.327) Data 0.001 (0.001) Loss 1.3279 (1.3561) Prec@1 69.531 (68.464) Prec@5 87.500 (86.955) Epoch: [79][7250/10010] Time 0.323 (0.327) Data 0.000 (0.001) Loss 1.4751 (1.3562) Prec@1 63.281 (68.463) Prec@5 88.281 (86.954) Epoch: [79][7260/10010] Time 0.334 (0.327) Data 0.001 (0.001) Loss 1.7393 (1.3564) Prec@1 63.281 (68.459) Prec@5 78.125 (86.950) Epoch: [79][7270/10010] Time 0.322 (0.327) Data 0.000 (0.001) Loss 1.1263 (1.3564) Prec@1 71.875 (68.459) Prec@5 90.625 (86.950) Epoch: [79][7280/10010] Time 0.322 (0.327) Data 0.000 (0.001) Loss 1.2328 (1.3564) Prec@1 66.406 (68.459) Prec@5 89.062 (86.950) Epoch: [79][7290/10010] Time 0.320 (0.327) Data 0.000 (0.001) Loss 1.2928 (1.3564) Prec@1 72.656 (68.461) Prec@5 88.281 (86.950) Epoch: [79][7300/10010] Time 0.319 (0.327) Data 0.001 (0.001) Loss 1.6143 (1.3564) Prec@1 66.406 (68.460) Prec@5 82.812 (86.950) Epoch: [79][7310/10010] Time 0.313 (0.327) Data 0.001 (0.001) Loss 0.8636 (1.3563) Prec@1 81.250 (68.462) Prec@5 93.750 (86.951) Epoch: [79][7320/10010] Time 0.323 (0.327) Data 0.000 (0.001) Loss 1.4316 (1.3564) Prec@1 67.969 (68.460) Prec@5 85.938 (86.949) Epoch: [79][7330/10010] Time 0.340 (0.327) Data 0.000 (0.001) Loss 1.2987 (1.3563) Prec@1 67.969 (68.461) Prec@5 87.500 (86.950) Epoch: [79][7340/10010] Time 0.314 (0.327) Data 0.001 (0.001) Loss 1.6427 (1.3563) Prec@1 67.188 (68.463) Prec@5 81.250 (86.950) Epoch: [79][7350/10010] Time 0.321 (0.327) Data 0.001 (0.001) Loss 1.3851 (1.3562) Prec@1 68.750 (68.465) Prec@5 89.844 (86.951) Epoch: [79][7360/10010] Time 0.330 (0.327) Data 0.000 (0.001) Loss 1.0049 (1.3563) Prec@1 72.656 (68.463) Prec@5 93.750 (86.952) Epoch: [79][7370/10010] Time 0.332 (0.327) Data 0.000 (0.001) Loss 1.4019 (1.3563) Prec@1 71.094 (68.462) Prec@5 84.375 (86.951) Epoch: [79][7380/10010] Time 0.337 (0.327) Data 0.000 (0.001) Loss 1.3389 (1.3563) Prec@1 71.094 (68.461) Prec@5 85.156 (86.951) Epoch: [79][7390/10010] Time 0.338 (0.327) Data 0.000 (0.001) Loss 1.2849 (1.3563) Prec@1 67.188 (68.460) Prec@5 88.281 (86.951) Epoch: [79][7400/10010] Time 0.319 (0.327) Data 0.000 (0.001) Loss 1.2758 (1.3563) Prec@1 67.969 (68.458) Prec@5 89.844 (86.950) Epoch: [79][7410/10010] Time 0.335 (0.327) Data 0.001 (0.001) Loss 1.6037 (1.3563) Prec@1 62.500 (68.457) Prec@5 82.031 (86.950) Epoch: [79][7420/10010] Time 0.319 (0.327) Data 0.001 (0.001) Loss 1.2435 (1.3565) Prec@1 67.969 (68.454) Prec@5 87.500 (86.947) Epoch: [79][7430/10010] Time 0.340 (0.327) Data 0.001 (0.001) Loss 1.3007 (1.3565) Prec@1 64.062 (68.451) Prec@5 89.062 (86.948) Epoch: [79][7440/10010] Time 0.318 (0.327) Data 0.001 (0.001) Loss 1.3019 (1.3566) Prec@1 69.531 (68.450) Prec@5 86.719 (86.946) Epoch: [79][7450/10010] Time 0.320 (0.327) Data 0.001 (0.001) Loss 1.3614 (1.3565) Prec@1 70.312 (68.453) Prec@5 86.719 (86.947) Epoch: [79][7460/10010] Time 0.338 (0.327) Data 0.001 (0.001) Loss 1.2997 (1.3565) Prec@1 66.406 (68.452) Prec@5 87.500 (86.949) Epoch: [79][7470/10010] Time 0.334 (0.327) Data 0.000 (0.001) Loss 1.0051 (1.3564) Prec@1 77.344 (68.457) Prec@5 91.406 (86.950) Epoch: [79][7480/10010] Time 0.321 (0.327) Data 0.001 (0.001) Loss 1.1434 (1.3563) Prec@1 71.094 (68.458) Prec@5 86.719 (86.950) Epoch: [79][7490/10010] Time 0.324 (0.327) Data 0.001 (0.001) Loss 1.3364 (1.3564) Prec@1 69.531 (68.458) Prec@5 87.500 (86.950) Epoch: [79][7500/10010] Time 0.319 (0.327) Data 0.001 (0.001) Loss 1.1435 (1.3564) Prec@1 74.219 (68.457) Prec@5 87.500 (86.950) Epoch: [79][7510/10010] Time 0.337 (0.327) Data 0.001 (0.001) Loss 1.3115 (1.3563) Prec@1 69.531 (68.457) Prec@5 83.594 (86.951) Epoch: [79][7520/10010] Time 0.324 (0.327) Data 0.000 (0.001) Loss 1.3015 (1.3564) Prec@1 65.625 (68.455) Prec@5 86.719 (86.950) Epoch: [79][7530/10010] Time 0.321 (0.327) Data 0.001 (0.001) Loss 1.4599 (1.3564) Prec@1 67.188 (68.454) Prec@5 84.375 (86.949) Epoch: [79][7540/10010] Time 0.321 (0.327) Data 0.000 (0.001) Loss 1.2851 (1.3564) Prec@1 67.188 (68.453) Prec@5 86.719 (86.947) Epoch: [79][7550/10010] Time 0.328 (0.327) Data 0.000 (0.001) Loss 1.3530 (1.3564) Prec@1 67.188 (68.455) Prec@5 86.719 (86.947) Epoch: [79][7560/10010] Time 0.324 (0.327) Data 0.001 (0.001) Loss 1.6030 (1.3564) Prec@1 67.969 (68.456) Prec@5 82.812 (86.947) Epoch: [79][7570/10010] Time 0.331 (0.327) Data 0.001 (0.001) Loss 1.5501 (1.3565) Prec@1 58.594 (68.455) Prec@5 85.156 (86.946) Epoch: [79][7580/10010] Time 0.330 (0.327) Data 0.001 (0.001) Loss 1.3601 (1.3564) Prec@1 66.406 (68.456) Prec@5 85.156 (86.945) /data/vision/torralba/deepscene/lib/anaconda2/lib/python2.7/site-packages/PIL/TiffImagePlugin.py:692: UserWarning: Possibly corrupt EXIF data. Expecting to read 2555904 bytes but only got 0. Skipping tag 0 "Skipping tag %s" % (size, len(data), tag)) Epoch: [79][7590/10010] Time 0.322 (0.327) Data 0.001 (0.001) Loss 1.4502 (1.3566) Prec@1 67.188 (68.454) Prec@5 85.938 (86.943) Epoch: [79][7600/10010] Time 0.318 (0.327) Data 0.000 (0.001) Loss 1.0656 (1.3566) Prec@1 77.344 (68.454) Prec@5 89.062 (86.942) Epoch: [79][7610/10010] Time 0.334 (0.327) Data 0.001 (0.001) Loss 1.4965 (1.3566) Prec@1 62.500 (68.456) Prec@5 85.938 (86.943) Epoch: [79][7620/10010] Time 0.337 (0.327) Data 0.001 (0.001) Loss 1.3328 (1.3565) Prec@1 71.875 (68.457) Prec@5 86.719 (86.944) Epoch: [79][7630/10010] Time 0.327 (0.327) Data 0.000 (0.001) Loss 1.2364 (1.3565) Prec@1 71.875 (68.458) Prec@5 87.500 (86.944) Epoch: [79][7640/10010] Time 0.325 (0.327) Data 0.001 (0.001) Loss 1.3806 (1.3564) Prec@1 67.188 (68.461) Prec@5 86.719 (86.945) Epoch: [79][7650/10010] Time 0.324 (0.327) Data 0.000 (0.001) Loss 1.4524 (1.3564) Prec@1 72.656 (68.461) Prec@5 85.938 (86.945) Epoch: [79][7660/10010] Time 0.340 (0.327) Data 0.001 (0.001) Loss 1.5463 (1.3564) Prec@1 67.188 (68.462) Prec@5 85.156 (86.946) Epoch: [79][7670/10010] Time 0.335 (0.327) Data 0.001 (0.001) Loss 1.3952 (1.3565) Prec@1 67.188 (68.461) Prec@5 84.375 (86.945) Epoch: [79][7680/10010] Time 0.330 (0.327) Data 0.001 (0.001) Loss 1.5892 (1.3565) Prec@1 64.844 (68.461) Prec@5 83.594 (86.945) Epoch: [79][7690/10010] Time 0.325 (0.327) Data 0.001 (0.001) Loss 1.5687 (1.3566) Prec@1 64.844 (68.457) Prec@5 85.156 (86.943) Epoch: [79][7700/10010] Time 0.325 (0.327) Data 0.001 (0.001) Loss 1.2043 (1.3566) Prec@1 69.531 (68.459) Prec@5 88.281 (86.943) Epoch: [79][7710/10010] Time 0.321 (0.327) Data 0.001 (0.001) Loss 1.2921 (1.3565) Prec@1 71.094 (68.461) Prec@5 87.500 (86.945) Epoch: [79][7720/10010] Time 0.314 (0.327) Data 0.001 (0.001) Loss 1.4974 (1.3563) Prec@1 70.312 (68.463) Prec@5 83.594 (86.946) Epoch: [79][7730/10010] Time 0.329 (0.327) Data 0.001 (0.001) Loss 1.3671 (1.3563) Prec@1 74.219 (68.464) Prec@5 85.938 (86.946) Epoch: [79][7740/10010] Time 0.316 (0.327) Data 0.001 (0.001) Loss 1.3317 (1.3564) Prec@1 67.969 (68.463) Prec@5 86.719 (86.946) Epoch: [79][7750/10010] Time 0.333 (0.327) Data 0.001 (0.001) Loss 1.6001 (1.3565) Prec@1 64.844 (68.461) Prec@5 82.812 (86.944) Epoch: [79][7760/10010] Time 0.318 (0.327) Data 0.001 (0.001) Loss 1.4040 (1.3565) Prec@1 65.625 (68.461) Prec@5 88.281 (86.945) Epoch: [79][7770/10010] Time 0.320 (0.327) Data 0.001 (0.001) Loss 1.5098 (1.3565) Prec@1 64.844 (68.462) Prec@5 85.156 (86.946) Epoch: [79][7780/10010] Time 0.319 (0.327) Data 0.001 (0.001) Loss 1.6280 (1.3564) Prec@1 64.062 (68.465) Prec@5 82.031 (86.947) /data/vision/torralba/deepscene/lib/anaconda2/lib/python2.7/site-packages/PIL/TiffImagePlugin.py:692: UserWarning: Possibly corrupt EXIF data. Expecting to read 2555904 bytes but only got 0. Skipping tag 0 "Skipping tag %s" % (size, len(data), tag)) Epoch: [79][7790/10010] Time 0.337 (0.327) Data 0.000 (0.001) Loss 1.4145 (1.3564) Prec@1 67.969 (68.467) Prec@5 86.719 (86.949) Epoch: [79][7800/10010] Time 0.325 (0.327) Data 0.001 (0.001) Loss 1.2727 (1.3564) Prec@1 71.094 (68.468) Prec@5 85.938 (86.948) Epoch: [79][7810/10010] Time 0.317 (0.327) Data 0.001 (0.001) Loss 1.3236 (1.3564) Prec@1 68.750 (68.467) Prec@5 85.938 (86.948) Epoch: [79][7820/10010] Time 0.321 (0.327) Data 0.000 (0.001) Loss 1.2705 (1.3564) Prec@1 68.750 (68.467) Prec@5 85.156 (86.948) Epoch: [79][7830/10010] Time 0.334 (0.327) Data 0.000 (0.001) Loss 1.2426 (1.3564) Prec@1 71.094 (68.467) Prec@5 86.719 (86.948) Epoch: [79][7840/10010] Time 0.314 (0.327) Data 0.000 (0.001) Loss 1.4710 (1.3565) Prec@1 62.500 (68.464) Prec@5 88.281 (86.946) Epoch: [79][7850/10010] Time 0.338 (0.327) Data 0.000 (0.001) Loss 1.3803 (1.3565) Prec@1 70.312 (68.465) Prec@5 86.719 (86.946) Epoch: [79][7860/10010] Time 0.313 (0.327) Data 0.001 (0.001) Loss 1.4468 (1.3565) Prec@1 62.500 (68.464) Prec@5 85.938 (86.947) Epoch: [79][7870/10010] Time 0.319 (0.327) Data 0.001 (0.001) Loss 1.4826 (1.3566) Prec@1 68.750 (68.464) Prec@5 85.156 (86.945) Epoch: [79][7880/10010] Time 0.333 (0.327) Data 0.001 (0.001) Loss 1.4143 (1.3566) Prec@1 71.875 (68.464) Prec@5 85.938 (86.945) Epoch: [79][7890/10010] Time 0.332 (0.327) Data 0.001 (0.001) Loss 1.3570 (1.3566) Prec@1 70.312 (68.463) Prec@5 86.719 (86.944) Epoch: [79][7900/10010] Time 0.336 (0.327) Data 0.000 (0.001) Loss 1.1702 (1.3567) Prec@1 71.094 (68.462) Prec@5 87.500 (86.941) Epoch: [79][7910/10010] Time 0.337 (0.327) Data 0.001 (0.001) Loss 1.2666 (1.3567) Prec@1 75.781 (68.462) Prec@5 89.844 (86.941) Epoch: [79][7920/10010] Time 0.332 (0.327) Data 0.001 (0.001) Loss 1.6971 (1.3568) Prec@1 64.062 (68.462) Prec@5 81.250 (86.939) Epoch: [79][7930/10010] Time 0.327 (0.327) Data 0.000 (0.001) Loss 1.4348 (1.3568) Prec@1 71.094 (68.464) Prec@5 85.938 (86.939) Epoch: [79][7940/10010] Time 0.342 (0.327) Data 0.000 (0.001) Loss 1.3382 (1.3569) Prec@1 70.312 (68.462) Prec@5 85.938 (86.936) Epoch: [79][7950/10010] Time 0.333 (0.327) Data 0.001 (0.001) Loss 1.2163 (1.3568) Prec@1 66.406 (68.461) Prec@5 89.844 (86.937) Epoch: [79][7960/10010] Time 0.322 (0.327) Data 0.001 (0.001) Loss 1.1644 (1.3568) Prec@1 70.312 (68.463) Prec@5 92.188 (86.937) Epoch: [79][7970/10010] Time 0.318 (0.327) Data 0.001 (0.001) Loss 1.1252 (1.3567) Prec@1 78.125 (68.465) Prec@5 90.625 (86.938) Epoch: [79][7980/10010] Time 0.321 (0.327) Data 0.001 (0.001) Loss 1.6055 (1.3567) Prec@1 63.281 (68.463) Prec@5 82.031 (86.936) Epoch: [79][7990/10010] Time 0.334 (0.327) Data 0.001 (0.001) Loss 1.3552 (1.3567) Prec@1 67.969 (68.463) Prec@5 84.375 (86.935) Epoch: [79][8000/10010] Time 0.335 (0.327) Data 0.001 (0.001) Loss 1.5934 (1.3567) Prec@1 66.406 (68.463) Prec@5 82.031 (86.935) Epoch: [79][8010/10010] Time 0.323 (0.327) Data 0.000 (0.001) Loss 1.2658 (1.3567) Prec@1 67.969 (68.464) Prec@5 89.844 (86.935) Epoch: [79][8020/10010] Time 0.336 (0.327) Data 0.001 (0.001) Loss 1.7970 (1.3567) Prec@1 61.719 (68.463) Prec@5 82.812 (86.936) Epoch: [79][8030/10010] Time 0.341 (0.327) Data 0.001 (0.001) Loss 1.4453 (1.3568) Prec@1 63.281 (68.460) Prec@5 86.719 (86.936) Epoch: [79][8040/10010] Time 0.318 (0.327) Data 0.001 (0.001) Loss 1.2773 (1.3569) Prec@1 75.000 (68.460) Prec@5 85.938 (86.935) Epoch: [79][8050/10010] Time 0.338 (0.327) Data 0.001 (0.001) Loss 1.3637 (1.3568) Prec@1 71.094 (68.462) Prec@5 83.594 (86.935) Epoch: [79][8060/10010] Time 0.333 (0.327) Data 0.001 (0.001) Loss 1.2953 (1.3568) Prec@1 67.969 (68.460) Prec@5 89.062 (86.936) Epoch: [79][8070/10010] Time 0.327 (0.327) Data 0.001 (0.001) Loss 1.3587 (1.3570) Prec@1 65.625 (68.457) Prec@5 86.719 (86.934) Epoch: [79][8080/10010] Time 0.336 (0.327) Data 0.001 (0.001) Loss 1.1818 (1.3570) Prec@1 71.094 (68.457) Prec@5 91.406 (86.933) Epoch: [79][8090/10010] Time 0.327 (0.327) Data 0.001 (0.001) Loss 1.1240 (1.3569) Prec@1 77.344 (68.461) Prec@5 89.062 (86.934) Epoch: [79][8100/10010] Time 0.334 (0.327) Data 0.001 (0.001) Loss 1.3097 (1.3571) Prec@1 71.875 (68.458) Prec@5 86.719 (86.930) Epoch: [79][8110/10010] Time 0.332 (0.327) Data 0.001 (0.001) Loss 1.3464 (1.3571) Prec@1 69.531 (68.458) Prec@5 85.156 (86.929) Epoch: [79][8120/10010] Time 0.318 (0.327) Data 0.000 (0.001) Loss 1.3819 (1.3572) Prec@1 68.750 (68.458) Prec@5 86.719 (86.930) Epoch: [79][8130/10010] Time 0.316 (0.327) Data 0.001 (0.001) Loss 1.5166 (1.3571) Prec@1 62.500 (68.461) Prec@5 84.375 (86.931) Epoch: [79][8140/10010] Time 0.334 (0.327) Data 0.000 (0.001) Loss 1.6249 (1.3571) Prec@1 64.062 (68.461) Prec@5 82.812 (86.930) Epoch: [79][8150/10010] Time 0.327 (0.327) Data 0.001 (0.001) Loss 1.4575 (1.3571) Prec@1 63.281 (68.458) Prec@5 83.594 (86.930) Epoch: [79][8160/10010] Time 0.335 (0.327) Data 0.000 (0.001) Loss 1.2270 (1.3571) Prec@1 74.219 (68.459) Prec@5 89.062 (86.931) Epoch: [79][8170/10010] Time 0.336 (0.327) Data 0.001 (0.001) Loss 0.9784 (1.3571) Prec@1 76.562 (68.459) Prec@5 92.188 (86.930) Epoch: [79][8180/10010] Time 0.320 (0.327) Data 0.000 (0.001) Loss 1.5106 (1.3570) Prec@1 64.062 (68.459) Prec@5 83.594 (86.930) Epoch: [79][8190/10010] Time 0.321 (0.327) Data 0.001 (0.001) Loss 1.3325 (1.3571) Prec@1 66.406 (68.459) Prec@5 85.938 (86.930) Epoch: [79][8200/10010] Time 0.328 (0.327) Data 0.001 (0.001) Loss 1.3510 (1.3571) Prec@1 67.188 (68.457) Prec@5 87.500 (86.929) Epoch: [79][8210/10010] Time 0.317 (0.327) Data 0.000 (0.001) Loss 1.5559 (1.3571) Prec@1 68.750 (68.459) Prec@5 80.469 (86.930) Epoch: [79][8220/10010] Time 0.318 (0.327) Data 0.001 (0.001) Loss 1.2414 (1.3571) Prec@1 66.406 (68.461) Prec@5 87.500 (86.931) Epoch: [79][8230/10010] Time 0.314 (0.327) Data 0.001 (0.001) Loss 1.0972 (1.3571) Prec@1 74.219 (68.462) Prec@5 88.281 (86.929) Epoch: [79][8240/10010] Time 0.329 (0.327) Data 0.000 (0.001) Loss 1.4981 (1.3571) Prec@1 65.625 (68.461) Prec@5 86.719 (86.929) Epoch: [79][8250/10010] Time 0.318 (0.327) Data 0.001 (0.001) Loss 1.3091 (1.3571) Prec@1 71.094 (68.461) Prec@5 89.062 (86.929) Epoch: [79][8260/10010] Time 0.325 (0.327) Data 0.001 (0.001) Loss 1.4122 (1.3570) Prec@1 67.188 (68.463) Prec@5 85.156 (86.929) Epoch: [79][8270/10010] Time 0.319 (0.327) Data 0.000 (0.001) Loss 1.2948 (1.3570) Prec@1 72.656 (68.462) Prec@5 86.719 (86.928) Epoch: [79][8280/10010] Time 0.325 (0.327) Data 0.001 (0.001) Loss 1.3132 (1.3570) Prec@1 69.531 (68.461) Prec@5 88.281 (86.929) Epoch: [79][8290/10010] Time 0.319 (0.327) Data 0.001 (0.001) Loss 1.1069 (1.3569) Prec@1 69.531 (68.462) Prec@5 89.844 (86.931) Epoch: [79][8300/10010] Time 0.314 (0.327) Data 0.001 (0.001) Loss 1.2286 (1.3570) Prec@1 69.531 (68.462) Prec@5 89.844 (86.931) Epoch: [79][8310/10010] Time 0.314 (0.327) Data 0.001 (0.001) Loss 1.2139 (1.3568) Prec@1 72.656 (68.465) Prec@5 88.281 (86.934) Epoch: [79][8320/10010] Time 0.315 (0.327) Data 0.001 (0.001) Loss 1.5854 (1.3569) Prec@1 65.625 (68.464) Prec@5 82.031 (86.933) Epoch: [79][8330/10010] Time 0.335 (0.327) Data 0.001 (0.001) Loss 1.0328 (1.3569) Prec@1 69.531 (68.464) Prec@5 91.406 (86.933) Epoch: [79][8340/10010] Time 0.337 (0.327) Data 0.001 (0.001) Loss 1.0520 (1.3570) Prec@1 76.562 (68.462) Prec@5 89.844 (86.931) Epoch: [79][8350/10010] Time 0.326 (0.327) Data 0.001 (0.001) Loss 1.3721 (1.3570) Prec@1 66.406 (68.462) Prec@5 92.188 (86.932) Epoch: [79][8360/10010] Time 0.316 (0.327) Data 0.001 (0.001) Loss 1.4873 (1.3570) Prec@1 67.188 (68.462) Prec@5 83.594 (86.930) Epoch: [79][8370/10010] Time 0.334 (0.327) Data 0.000 (0.001) Loss 1.5328 (1.3570) Prec@1 71.875 (68.464) Prec@5 85.156 (86.931) Epoch: [79][8380/10010] Time 0.323 (0.327) Data 0.001 (0.001) Loss 1.4519 (1.3571) Prec@1 71.094 (68.465) Prec@5 87.500 (86.930) Epoch: [79][8390/10010] Time 0.325 (0.327) Data 0.000 (0.001) Loss 1.4861 (1.3572) Prec@1 65.625 (68.464) Prec@5 86.719 (86.929) Epoch: [79][8400/10010] Time 0.333 (0.327) Data 0.001 (0.001) Loss 1.3109 (1.3572) Prec@1 68.750 (68.463) Prec@5 83.594 (86.928) Epoch: [79][8410/10010] Time 0.320 (0.327) Data 0.001 (0.001) Loss 1.1865 (1.3573) Prec@1 73.438 (68.462) Prec@5 89.062 (86.926) Epoch: [79][8420/10010] Time 0.331 (0.327) Data 0.001 (0.001) Loss 1.5751 (1.3574) Prec@1 63.281 (68.462) Prec@5 85.156 (86.924) Epoch: [79][8430/10010] Time 0.342 (0.327) Data 0.001 (0.001) Loss 1.1947 (1.3574) Prec@1 67.188 (68.460) Prec@5 88.281 (86.925) Epoch: [79][8440/10010] Time 0.337 (0.327) Data 0.001 (0.001) Loss 1.2695 (1.3574) Prec@1 68.750 (68.461) Prec@5 88.281 (86.925) Epoch: [79][8450/10010] Time 0.344 (0.327) Data 0.000 (0.001) Loss 1.6490 (1.3573) Prec@1 62.500 (68.460) Prec@5 82.031 (86.926) Epoch: [79][8460/10010] Time 0.316 (0.327) Data 0.001 (0.001) Loss 1.4468 (1.3573) Prec@1 66.406 (68.461) Prec@5 82.812 (86.926) Epoch: [79][8470/10010] Time 0.327 (0.327) Data 0.001 (0.001) Loss 1.2316 (1.3573) Prec@1 73.438 (68.461) Prec@5 85.938 (86.925) Epoch: [79][8480/10010] Time 0.334 (0.327) Data 0.001 (0.001) Loss 1.2644 (1.3573) Prec@1 70.312 (68.462) Prec@5 88.281 (86.924) Epoch: [79][8490/10010] Time 0.313 (0.327) Data 0.001 (0.001) Loss 1.5023 (1.3573) Prec@1 64.844 (68.464) Prec@5 85.156 (86.923) Epoch: [79][8500/10010] Time 0.341 (0.327) Data 0.000 (0.001) Loss 1.3738 (1.3573) Prec@1 71.875 (68.465) Prec@5 86.719 (86.924) Epoch: [79][8510/10010] Time 0.342 (0.327) Data 0.001 (0.001) Loss 1.3329 (1.3573) Prec@1 69.531 (68.465) Prec@5 85.156 (86.924) Epoch: [79][8520/10010] Time 0.319 (0.327) Data 0.001 (0.001) Loss 1.5613 (1.3573) Prec@1 62.500 (68.465) Prec@5 85.156 (86.924) Epoch: [79][8530/10010] Time 0.327 (0.327) Data 0.000 (0.001) Loss 1.1176 (1.3573) Prec@1 76.562 (68.467) Prec@5 90.625 (86.925) Epoch: [79][8540/10010] Time 0.340 (0.327) Data 0.000 (0.001) Loss 1.3219 (1.3573) Prec@1 69.531 (68.468) Prec@5 88.281 (86.924) Epoch: [79][8550/10010] Time 0.316 (0.327) Data 0.001 (0.001) Loss 1.3658 (1.3574) Prec@1 69.531 (68.468) Prec@5 83.594 (86.923) Epoch: [79][8560/10010] Time 0.319 (0.327) Data 0.001 (0.001) Loss 1.3477 (1.3573) Prec@1 68.750 (68.468) Prec@5 88.281 (86.923) Epoch: [79][8570/10010] Time 0.337 (0.327) Data 0.000 (0.001) Loss 1.4782 (1.3573) Prec@1 69.531 (68.469) Prec@5 85.156 (86.922) Epoch: [79][8580/10010] Time 0.333 (0.327) Data 0.001 (0.001) Loss 1.3699 (1.3574) Prec@1 68.750 (68.468) Prec@5 85.938 (86.923) Epoch: [79][8590/10010] Time 0.318 (0.327) Data 0.001 (0.001) Loss 1.3133 (1.3575) Prec@1 69.531 (68.466) Prec@5 86.719 (86.922) Epoch: [79][8600/10010] Time 0.331 (0.327) Data 0.001 (0.001) Loss 1.1780 (1.3575) Prec@1 67.969 (68.464) Prec@5 89.062 (86.922) Epoch: [79][8610/10010] Time 0.315 (0.327) Data 0.001 (0.001) Loss 1.5550 (1.3575) Prec@1 65.625 (68.462) Prec@5 85.938 (86.922) Epoch: [79][8620/10010] Time 0.335 (0.327) Data 0.001 (0.001) Loss 1.2561 (1.3575) Prec@1 70.312 (68.462) Prec@5 88.281 (86.923) Epoch: [79][8630/10010] Time 0.316 (0.327) Data 0.001 (0.001) Loss 1.0014 (1.3575) Prec@1 81.250 (68.463) Prec@5 91.406 (86.924) Epoch: [79][8640/10010] Time 0.320 (0.327) Data 0.001 (0.001) Loss 1.3063 (1.3575) Prec@1 64.844 (68.463) Prec@5 85.938 (86.923) Epoch: [79][8650/10010] Time 0.328 (0.327) Data 0.001 (0.001) Loss 1.6620 (1.3575) Prec@1 60.938 (68.461) Prec@5 85.156 (86.924) Epoch: [79][8660/10010] Time 0.340 (0.327) Data 0.000 (0.001) Loss 1.3760 (1.3575) Prec@1 70.312 (68.460) Prec@5 86.719 (86.924) Epoch: [79][8670/10010] Time 0.319 (0.327) Data 0.001 (0.001) Loss 1.5503 (1.3575) Prec@1 61.719 (68.462) Prec@5 83.594 (86.923) Epoch: [79][8680/10010] Time 0.341 (0.327) Data 0.000 (0.001) Loss 1.4005 (1.3575) Prec@1 71.875 (68.463) Prec@5 85.938 (86.923) Epoch: [79][8690/10010] Time 0.313 (0.327) Data 0.001 (0.001) Loss 1.1463 (1.3575) Prec@1 72.656 (68.465) Prec@5 93.750 (86.923) Epoch: [79][8700/10010] Time 0.336 (0.327) Data 0.001 (0.001) Loss 1.0433 (1.3574) Prec@1 76.562 (68.467) Prec@5 92.188 (86.924) Epoch: [79][8710/10010] Time 0.318 (0.327) Data 0.000 (0.001) Loss 1.5385 (1.3575) Prec@1 60.156 (68.466) Prec@5 80.469 (86.923) Epoch: [79][8720/10010] Time 0.315 (0.327) Data 0.000 (0.001) Loss 1.3588 (1.3575) Prec@1 72.656 (68.467) Prec@5 87.500 (86.921) Epoch: [79][8730/10010] Time 0.321 (0.327) Data 0.001 (0.001) Loss 1.2400 (1.3575) Prec@1 71.094 (68.467) Prec@5 89.062 (86.921) Epoch: [79][8740/10010] Time 0.334 (0.327) Data 0.001 (0.001) Loss 1.4247 (1.3575) Prec@1 72.656 (68.467) Prec@5 84.375 (86.921) /data/vision/torralba/deepscene/lib/anaconda2/lib/python2.7/site-packages/PIL/TiffImagePlugin.py:692: UserWarning: Possibly corrupt EXIF data. Expecting to read 1835008 bytes but only got 0. Skipping tag 0 "Skipping tag %s" % (size, len(data), tag)) Epoch: [79][8750/10010] Time 0.317 (0.327) Data 0.001 (0.001) Loss 1.7332 (1.3575) Prec@1 62.500 (68.467) Prec@5 80.469 (86.921) Epoch: [79][8760/10010] Time 0.340 (0.327) Data 0.001 (0.001) Loss 1.5077 (1.3575) Prec@1 64.844 (68.469) Prec@5 86.719 (86.922) Epoch: [79][8770/10010] Time 0.310 (0.327) Data 0.001 (0.001) Loss 1.4739 (1.3576) Prec@1 70.312 (68.467) Prec@5 87.500 (86.920) Epoch: [79][8780/10010] Time 0.335 (0.327) Data 0.001 (0.001) Loss 1.6595 (1.3577) Prec@1 57.812 (68.466) Prec@5 84.375 (86.919) Epoch: [79][8790/10010] Time 0.324 (0.327) Data 0.001 (0.001) Loss 1.4410 (1.3577) Prec@1 68.750 (68.465) Prec@5 86.719 (86.920) Epoch: [79][8800/10010] Time 0.326 (0.327) Data 0.001 (0.001) Loss 1.1814 (1.3575) Prec@1 71.875 (68.467) Prec@5 89.844 (86.921) Epoch: [79][8810/10010] Time 0.324 (0.327) Data 0.001 (0.001) Loss 1.6381 (1.3575) Prec@1 60.938 (68.467) Prec@5 83.594 (86.920) Epoch: [79][8820/10010] Time 0.334 (0.327) Data 0.001 (0.001) Loss 1.6072 (1.3576) Prec@1 62.500 (68.465) Prec@5 83.594 (86.919) Epoch: [79][8830/10010] Time 0.338 (0.327) Data 0.001 (0.001) Loss 1.2146 (1.3576) Prec@1 71.094 (68.465) Prec@5 90.625 (86.920) Epoch: [79][8840/10010] Time 0.321 (0.327) Data 0.001 (0.001) Loss 1.2947 (1.3576) Prec@1 70.312 (68.464) Prec@5 89.062 (86.920) Epoch: [79][8850/10010] Time 0.326 (0.327) Data 0.000 (0.001) Loss 1.1363 (1.3575) Prec@1 67.969 (68.464) Prec@5 91.406 (86.921) Epoch: [79][8860/10010] Time 0.318 (0.327) Data 0.000 (0.001) Loss 1.3090 (1.3576) Prec@1 63.281 (68.461) Prec@5 89.844 (86.920) Epoch: [79][8870/10010] Time 0.320 (0.327) Data 0.001 (0.001) Loss 1.2643 (1.3576) Prec@1 73.438 (68.461) Prec@5 87.500 (86.920) Epoch: [79][8880/10010] Time 0.321 (0.327) Data 0.001 (0.001) Loss 1.2756 (1.3576) Prec@1 62.500 (68.458) Prec@5 89.062 (86.919) Epoch: [79][8890/10010] Time 0.318 (0.327) Data 0.000 (0.001) Loss 1.6314 (1.3576) Prec@1 58.594 (68.457) Prec@5 83.594 (86.919) Epoch: [79][8900/10010] Time 0.324 (0.327) Data 0.000 (0.001) Loss 1.5385 (1.3576) Prec@1 63.281 (68.458) Prec@5 82.031 (86.920) Epoch: [79][8910/10010] Time 0.340 (0.327) Data 0.001 (0.001) Loss 1.3357 (1.3576) Prec@1 68.750 (68.458) Prec@5 89.062 (86.920) Epoch: [79][8920/10010] Time 0.330 (0.327) Data 0.001 (0.001) Loss 1.4485 (1.3575) Prec@1 59.375 (68.459) Prec@5 85.156 (86.920) Epoch: [79][8930/10010] Time 0.327 (0.327) Data 0.001 (0.001) Loss 1.5690 (1.3575) Prec@1 63.281 (68.458) Prec@5 84.375 (86.921) Epoch: [79][8940/10010] Time 0.326 (0.327) Data 0.001 (0.001) Loss 1.4186 (1.3576) Prec@1 68.750 (68.458) Prec@5 84.375 (86.920) Epoch: [79][8950/10010] Time 0.325 (0.327) Data 0.001 (0.001) Loss 1.4047 (1.3575) Prec@1 71.094 (68.460) Prec@5 84.375 (86.921) Epoch: [79][8960/10010] Time 0.319 (0.327) Data 0.000 (0.001) Loss 1.6880 (1.3577) Prec@1 63.281 (68.457) Prec@5 82.031 (86.919) Epoch: [79][8970/10010] Time 0.320 (0.327) Data 0.001 (0.001) Loss 1.4097 (1.3576) Prec@1 67.969 (68.458) Prec@5 84.375 (86.920) Epoch: [79][8980/10010] Time 0.341 (0.327) Data 0.001 (0.001) Loss 1.4288 (1.3575) Prec@1 67.188 (68.459) Prec@5 81.250 (86.921) Epoch: [79][8990/10010] Time 0.337 (0.327) Data 0.001 (0.001) Loss 1.6600 (1.3575) Prec@1 64.062 (68.460) Prec@5 80.469 (86.921) Epoch: [79][9000/10010] Time 0.334 (0.327) Data 0.001 (0.001) Loss 1.1357 (1.3575) Prec@1 77.344 (68.462) Prec@5 89.062 (86.920) Epoch: [79][9010/10010] Time 0.333 (0.327) Data 0.001 (0.001) Loss 1.0837 (1.3575) Prec@1 75.781 (68.463) Prec@5 89.844 (86.920) Epoch: [79][9020/10010] Time 0.328 (0.327) Data 0.000 (0.001) Loss 1.2810 (1.3575) Prec@1 68.750 (68.459) Prec@5 86.719 (86.920) Epoch: [79][9030/10010] Time 0.341 (0.327) Data 0.000 (0.001) Loss 1.2275 (1.3574) Prec@1 69.531 (68.460) Prec@5 88.281 (86.921) Epoch: [79][9040/10010] Time 0.307 (0.327) Data 0.001 (0.001) Loss 1.2794 (1.3574) Prec@1 67.188 (68.461) Prec@5 89.844 (86.922) Epoch: [79][9050/10010] Time 0.335 (0.327) Data 0.001 (0.001) Loss 1.3256 (1.3573) Prec@1 66.406 (68.463) Prec@5 86.719 (86.923) Epoch: [79][9060/10010] Time 0.326 (0.327) Data 0.001 (0.001) Loss 1.4854 (1.3573) Prec@1 60.938 (68.463) Prec@5 84.375 (86.923) Epoch: [79][9070/10010] Time 0.321 (0.327) Data 0.000 (0.001) Loss 1.5480 (1.3573) Prec@1 61.719 (68.463) Prec@5 83.594 (86.923) Epoch: [79][9080/10010] Time 0.334 (0.327) Data 0.000 (0.001) Loss 1.0985 (1.3573) Prec@1 71.094 (68.463) Prec@5 89.062 (86.923) Epoch: [79][9090/10010] Time 0.320 (0.327) Data 0.000 (0.001) Loss 1.3726 (1.3573) Prec@1 69.531 (68.463) Prec@5 87.500 (86.923) Epoch: [79][9100/10010] Time 0.316 (0.327) Data 0.001 (0.001) Loss 1.3347 (1.3573) Prec@1 71.875 (68.466) Prec@5 85.938 (86.924) Epoch: [79][9110/10010] Time 0.322 (0.327) Data 0.001 (0.001) Loss 1.5137 (1.3573) Prec@1 64.844 (68.466) Prec@5 82.812 (86.924) Epoch: [79][9120/10010] Time 0.317 (0.327) Data 0.001 (0.001) Loss 1.5431 (1.3573) Prec@1 63.281 (68.466) Prec@5 83.594 (86.921) Epoch: [79][9130/10010] Time 0.322 (0.327) Data 0.001 (0.001) Loss 1.2616 (1.3572) Prec@1 71.094 (68.469) Prec@5 87.500 (86.922) Epoch: [79][9140/10010] Time 0.320 (0.327) Data 0.001 (0.001) Loss 1.5678 (1.3573) Prec@1 62.500 (68.467) Prec@5 85.156 (86.921) Epoch: [79][9150/10010] Time 0.323 (0.327) Data 0.000 (0.001) Loss 1.2109 (1.3573) Prec@1 75.000 (68.466) Prec@5 86.719 (86.920) Epoch: [79][9160/10010] Time 0.322 (0.327) Data 0.001 (0.001) Loss 1.2032 (1.3573) Prec@1 76.562 (68.469) Prec@5 89.844 (86.920) Epoch: [79][9170/10010] Time 0.326 (0.327) Data 0.001 (0.001) Loss 1.4176 (1.3573) Prec@1 70.312 (68.470) Prec@5 83.594 (86.919) Epoch: [79][9180/10010] Time 0.318 (0.327) Data 0.001 (0.001) Loss 1.1721 (1.3573) Prec@1 70.312 (68.468) Prec@5 89.844 (86.919) Epoch: [79][9190/10010] Time 0.325 (0.327) Data 0.001 (0.001) Loss 1.4229 (1.3573) Prec@1 64.844 (68.468) Prec@5 88.281 (86.920) Epoch: [79][9200/10010] Time 0.341 (0.327) Data 0.001 (0.001) Loss 1.5400 (1.3574) Prec@1 65.625 (68.466) Prec@5 86.719 (86.919) Epoch: [79][9210/10010] Time 0.324 (0.327) Data 0.000 (0.001) Loss 1.3146 (1.3574) Prec@1 67.969 (68.465) Prec@5 88.281 (86.920) Epoch: [79][9220/10010] Time 0.331 (0.327) Data 0.000 (0.001) Loss 1.4306 (1.3574) Prec@1 69.531 (68.464) Prec@5 87.500 (86.920) Epoch: [79][9230/10010] Time 0.340 (0.327) Data 0.000 (0.001) Loss 1.4830 (1.3575) Prec@1 67.188 (68.463) Prec@5 85.156 (86.919) Epoch: [79][9240/10010] Time 0.340 (0.327) Data 0.001 (0.001) Loss 1.2802 (1.3574) Prec@1 71.094 (68.462) Prec@5 87.500 (86.920) Epoch: [79][9250/10010] Time 0.324 (0.327) Data 0.001 (0.001) Loss 1.3880 (1.3573) Prec@1 65.625 (68.463) Prec@5 85.938 (86.921) Epoch: [79][9260/10010] Time 0.322 (0.327) Data 0.001 (0.001) Loss 1.5480 (1.3574) Prec@1 66.406 (68.461) Prec@5 84.375 (86.920) Epoch: [79][9270/10010] Time 0.320 (0.327) Data 0.000 (0.001) Loss 1.2651 (1.3574) Prec@1 71.875 (68.460) Prec@5 88.281 (86.920) Epoch: [79][9280/10010] Time 0.341 (0.327) Data 0.001 (0.001) Loss 1.0906 (1.3574) Prec@1 75.781 (68.461) Prec@5 87.500 (86.919) Epoch: [79][9290/10010] Time 0.321 (0.327) Data 0.001 (0.001) Loss 1.5264 (1.3575) Prec@1 67.969 (68.461) Prec@5 82.031 (86.918) Epoch: [79][9300/10010] Time 0.317 (0.327) Data 0.001 (0.001) Loss 1.7075 (1.3575) Prec@1 62.500 (68.460) Prec@5 82.812 (86.918) Epoch: [79][9310/10010] Time 0.337 (0.327) Data 0.000 (0.001) Loss 1.4210 (1.3576) Prec@1 68.750 (68.459) Prec@5 88.281 (86.918) Epoch: [79][9320/10010] Time 0.339 (0.327) Data 0.001 (0.001) Loss 1.2453 (1.3575) Prec@1 72.656 (68.459) Prec@5 87.500 (86.919) Epoch: [79][9330/10010] Time 0.321 (0.327) Data 0.001 (0.001) Loss 1.7414 (1.3576) Prec@1 60.938 (68.459) Prec@5 78.125 (86.918) Epoch: [79][9340/10010] Time 0.335 (0.327) Data 0.000 (0.001) Loss 1.5199 (1.3575) Prec@1 68.750 (68.460) Prec@5 83.594 (86.919) Epoch: [79][9350/10010] Time 0.320 (0.327) Data 0.001 (0.001) Loss 1.4326 (1.3576) Prec@1 70.312 (68.457) Prec@5 85.156 (86.918) Epoch: [79][9360/10010] Time 0.333 (0.327) Data 0.001 (0.001) Loss 1.2501 (1.3577) Prec@1 68.750 (68.456) Prec@5 88.281 (86.918) Epoch: [79][9370/10010] Time 0.322 (0.327) Data 0.001 (0.001) Loss 1.3512 (1.3577) Prec@1 69.531 (68.456) Prec@5 82.812 (86.919) Epoch: [79][9380/10010] Time 0.336 (0.327) Data 0.000 (0.001) Loss 1.4835 (1.3577) Prec@1 66.406 (68.457) Prec@5 87.500 (86.919) Epoch: [79][9390/10010] Time 0.318 (0.327) Data 0.001 (0.001) Loss 1.3977 (1.3576) Prec@1 68.750 (68.457) Prec@5 85.938 (86.919) Epoch: [79][9400/10010] Time 0.337 (0.327) Data 0.000 (0.001) Loss 1.2418 (1.3577) Prec@1 67.188 (68.456) Prec@5 87.500 (86.919) Epoch: [79][9410/10010] Time 0.318 (0.327) Data 0.001 (0.001) Loss 1.2608 (1.3577) Prec@1 74.219 (68.456) Prec@5 88.281 (86.918) Epoch: [79][9420/10010] Time 0.313 (0.327) Data 0.001 (0.001) Loss 1.2022 (1.3578) Prec@1 71.094 (68.455) Prec@5 89.844 (86.917) Epoch: [79][9430/10010] Time 0.336 (0.327) Data 0.000 (0.001) Loss 1.2665 (1.3578) Prec@1 68.750 (68.454) Prec@5 89.062 (86.917) Epoch: [79][9440/10010] Time 0.322 (0.327) Data 0.000 (0.001) Loss 1.5051 (1.3578) Prec@1 60.938 (68.453) Prec@5 85.156 (86.916) Epoch: [79][9450/10010] Time 0.322 (0.327) Data 0.000 (0.001) Loss 1.4898 (1.3579) Prec@1 64.844 (68.453) Prec@5 87.500 (86.916) Epoch: [79][9460/10010] Time 0.317 (0.327) Data 0.001 (0.001) Loss 1.3356 (1.3579) Prec@1 67.188 (68.454) Prec@5 85.938 (86.915) Epoch: [79][9470/10010] Time 0.339 (0.327) Data 0.001 (0.001) Loss 1.3273 (1.3578) Prec@1 68.750 (68.454) Prec@5 87.500 (86.917) Epoch: [79][9480/10010] Time 0.332 (0.327) Data 0.001 (0.001) Loss 1.4960 (1.3577) Prec@1 71.094 (68.458) Prec@5 88.281 (86.918) Epoch: [79][9490/10010] Time 0.333 (0.327) Data 0.001 (0.001) Loss 1.0229 (1.3577) Prec@1 82.812 (68.458) Prec@5 90.625 (86.917) Epoch: [79][9500/10010] Time 0.331 (0.327) Data 0.001 (0.001) Loss 0.9801 (1.3577) Prec@1 75.781 (68.458) Prec@5 92.969 (86.916) Epoch: [79][9510/10010] Time 0.315 (0.327) Data 0.001 (0.001) Loss 1.4946 (1.3578) Prec@1 67.969 (68.456) Prec@5 82.031 (86.914) Epoch: [79][9520/10010] Time 0.332 (0.327) Data 0.001 (0.001) Loss 1.4868 (1.3578) Prec@1 67.969 (68.456) Prec@5 85.156 (86.914) Epoch: [79][9530/10010] Time 0.331 (0.327) Data 0.001 (0.001) Loss 1.4536 (1.3580) Prec@1 64.844 (68.452) Prec@5 85.156 (86.912) Epoch: [79][9540/10010] Time 0.321 (0.327) Data 0.001 (0.001) Loss 1.2498 (1.3580) Prec@1 66.406 (68.452) Prec@5 88.281 (86.911) Epoch: [79][9550/10010] Time 0.308 (0.327) Data 0.001 (0.001) Loss 1.4882 (1.3581) Prec@1 63.281 (68.450) Prec@5 86.719 (86.909) Epoch: [79][9560/10010] Time 0.320 (0.327) Data 0.000 (0.001) Loss 1.3520 (1.3581) Prec@1 70.312 (68.450) Prec@5 89.062 (86.909) Epoch: [79][9570/10010] Time 0.318 (0.327) Data 0.001 (0.001) Loss 1.6711 (1.3581) Prec@1 71.875 (68.449) Prec@5 83.594 (86.907) Epoch: [79][9580/10010] Time 0.333 (0.327) Data 0.001 (0.001) Loss 1.4657 (1.3581) Prec@1 65.625 (68.449) Prec@5 85.156 (86.907) Epoch: [79][9590/10010] Time 0.318 (0.327) Data 0.001 (0.001) Loss 1.5025 (1.3582) Prec@1 66.406 (68.448) Prec@5 89.062 (86.907) Epoch: [79][9600/10010] Time 0.321 (0.327) Data 0.000 (0.001) Loss 1.3830 (1.3581) Prec@1 68.750 (68.450) Prec@5 81.250 (86.908) Epoch: [79][9610/10010] Time 0.317 (0.327) Data 0.001 (0.001) Loss 1.1782 (1.3581) Prec@1 74.219 (68.451) Prec@5 88.281 (86.907) Epoch: [79][9620/10010] Time 0.326 (0.327) Data 0.001 (0.001) Loss 1.3434 (1.3581) Prec@1 67.188 (68.452) Prec@5 83.594 (86.907) Epoch: [79][9630/10010] Time 0.337 (0.327) Data 0.001 (0.001) Loss 1.3371 (1.3581) Prec@1 68.750 (68.452) Prec@5 85.938 (86.906) Epoch: [79][9640/10010] Time 0.339 (0.327) Data 0.001 (0.001) Loss 1.1742 (1.3581) Prec@1 72.656 (68.453) Prec@5 89.062 (86.906) Epoch: [79][9650/10010] Time 0.330 (0.327) Data 0.001 (0.001) Loss 1.1307 (1.3581) Prec@1 71.094 (68.453) Prec@5 90.625 (86.906) Epoch: [79][9660/10010] Time 0.329 (0.327) Data 0.001 (0.001) Loss 1.6198 (1.3581) Prec@1 66.406 (68.452) Prec@5 82.031 (86.905) Epoch: [79][9670/10010] Time 0.319 (0.327) Data 0.001 (0.001) Loss 1.1629 (1.3582) Prec@1 73.438 (68.451) Prec@5 87.500 (86.904) Epoch: [79][9680/10010] Time 0.320 (0.327) Data 0.001 (0.001) Loss 1.4605 (1.3581) Prec@1 68.750 (68.451) Prec@5 85.156 (86.905) Epoch: [79][9690/10010] Time 0.335 (0.327) Data 0.001 (0.001) Loss 1.4037 (1.3582) Prec@1 68.750 (68.449) Prec@5 85.938 (86.904) Epoch: [79][9700/10010] Time 0.343 (0.327) Data 0.001 (0.001) Loss 1.2202 (1.3582) Prec@1 64.844 (68.449) Prec@5 89.062 (86.904) Epoch: [79][9710/10010] Time 0.312 (0.327) Data 0.001 (0.001) Loss 1.2896 (1.3581) Prec@1 67.188 (68.449) Prec@5 88.281 (86.904) Epoch: [79][9720/10010] Time 0.309 (0.327) Data 0.001 (0.001) Loss 1.5615 (1.3581) Prec@1 64.844 (68.449) Prec@5 82.031 (86.904) Epoch: [79][9730/10010] Time 0.308 (0.327) Data 0.001 (0.001) Loss 1.4182 (1.3581) Prec@1 64.062 (68.449) Prec@5 89.062 (86.904) Epoch: [79][9740/10010] Time 0.338 (0.327) Data 0.000 (0.001) Loss 1.3778 (1.3581) Prec@1 66.406 (68.450) Prec@5 87.500 (86.905) Epoch: [79][9750/10010] Time 0.313 (0.327) Data 0.001 (0.001) Loss 1.1372 (1.3581) Prec@1 74.219 (68.450) Prec@5 91.406 (86.904) Epoch: [79][9760/10010] Time 0.321 (0.327) Data 0.001 (0.001) Loss 1.2697 (1.3581) Prec@1 73.438 (68.451) Prec@5 91.406 (86.904) Epoch: [79][9770/10010] Time 0.316 (0.327) Data 0.001 (0.001) Loss 1.3287 (1.3582) Prec@1 66.406 (68.449) Prec@5 85.938 (86.903) Epoch: [79][9780/10010] Time 0.326 (0.327) Data 0.001 (0.001) Loss 1.2940 (1.3581) Prec@1 67.969 (68.449) Prec@5 87.500 (86.904) Epoch: [79][9790/10010] Time 0.317 (0.327) Data 0.000 (0.001) Loss 1.3130 (1.3580) Prec@1 67.969 (68.450) Prec@5 89.062 (86.906) Epoch: [79][9800/10010] Time 0.332 (0.327) Data 0.000 (0.001) Loss 1.4794 (1.3581) Prec@1 71.875 (68.448) Prec@5 83.594 (86.904) Epoch: [79][9810/10010] Time 0.324 (0.327) Data 0.001 (0.001) Loss 1.1789 (1.3582) Prec@1 73.438 (68.445) Prec@5 90.625 (86.903) Epoch: [79][9820/10010] Time 0.325 (0.327) Data 0.000 (0.001) Loss 1.3307 (1.3582) Prec@1 70.312 (68.445) Prec@5 85.938 (86.904) /data/vision/torralba/deepscene/lib/anaconda2/lib/python2.7/site-packages/PIL/TiffImagePlugin.py:709: UserWarning: Corrupt EXIF data. Expecting to read 4 bytes but only got 0. warnings.warn(str(msg)) Epoch: [79][9830/10010] Time 0.340 (0.327) Data 0.000 (0.001) Loss 1.3184 (1.3581) Prec@1 68.750 (68.445) Prec@5 85.156 (86.905) Epoch: [79][9840/10010] Time 0.326 (0.327) Data 0.001 (0.001) Loss 1.6200 (1.3581) Prec@1 67.969 (68.446) Prec@5 82.812 (86.904) Epoch: [79][9850/10010] Time 0.329 (0.327) Data 0.001 (0.001) Loss 1.6731 (1.3582) Prec@1 66.406 (68.447) Prec@5 77.344 (86.902) Epoch: [79][9860/10010] Time 0.323 (0.327) Data 0.000 (0.001) Loss 1.1474 (1.3582) Prec@1 72.656 (68.446) Prec@5 89.844 (86.902) Epoch: [79][9870/10010] Time 0.321 (0.327) Data 0.001 (0.001) Loss 1.6543 (1.3582) Prec@1 63.281 (68.446) Prec@5 80.469 (86.900) Epoch: [79][9880/10010] Time 0.339 (0.327) Data 0.001 (0.001) Loss 1.1751 (1.3582) Prec@1 73.438 (68.446) Prec@5 88.281 (86.900) Epoch: [79][9890/10010] Time 0.316 (0.327) Data 0.001 (0.001) Loss 1.3475 (1.3583) Prec@1 68.750 (68.443) Prec@5 89.844 (86.900) Epoch: [79][9900/10010] Time 0.319 (0.327) Data 0.000 (0.001) Loss 1.6657 (1.3583) Prec@1 60.938 (68.441) Prec@5 84.375 (86.900) Epoch: [79][9910/10010] Time 0.319 (0.327) Data 0.000 (0.001) Loss 1.2526 (1.3583) Prec@1 69.531 (68.440) Prec@5 89.062 (86.899) Epoch: [79][9920/10010] Time 0.319 (0.327) Data 0.001 (0.001) Loss 1.4159 (1.3583) Prec@1 67.188 (68.440) Prec@5 84.375 (86.899) Epoch: [79][9930/10010] Time 0.319 (0.327) Data 0.001 (0.001) Loss 1.4460 (1.3584) Prec@1 69.531 (68.439) Prec@5 82.812 (86.898) Epoch: [79][9940/10010] Time 0.320 (0.327) Data 0.001 (0.001) Loss 1.2164 (1.3584) Prec@1 68.750 (68.438) Prec@5 87.500 (86.898) Epoch: [79][9950/10010] Time 0.338 (0.327) Data 0.001 (0.001) Loss 1.2967 (1.3584) Prec@1 70.312 (68.439) Prec@5 85.156 (86.898) Epoch: [79][9960/10010] Time 0.321 (0.327) Data 0.001 (0.001) Loss 1.5706 (1.3584) Prec@1 61.719 (68.439) Prec@5 83.594 (86.898) Epoch: [79][9970/10010] Time 0.338 (0.327) Data 0.001 (0.001) Loss 1.2385 (1.3584) Prec@1 71.875 (68.439) Prec@5 88.281 (86.898) Epoch: [79][9980/10010] Time 0.317 (0.327) Data 0.001 (0.001) Loss 1.2849 (1.3583) Prec@1 70.312 (68.439) Prec@5 86.719 (86.899) Epoch: [79][9990/10010] Time 0.326 (0.327) Data 0.000 (0.001) Loss 1.3369 (1.3583) Prec@1 64.062 (68.438) Prec@5 89.062 (86.900) Epoch: [79][10000/10010] Time 0.323 (0.327) Data 0.000 (0.001) Loss 1.3830 (1.3584) Prec@1 66.406 (68.436) Prec@5 89.844 (86.899) Test: [0/391] Time 1.377 (1.377) Loss 0.6571 (0.6571) Prec@1 85.938 (85.938) Prec@5 94.531 (94.531) Test: [10/391] Time 0.106 (0.228) Loss 1.3687 (0.6454) Prec@1 71.094 (84.659) Prec@5 89.844 (95.455) Test: [20/391] Time 0.108 (0.173) Loss 0.8105 (0.9037) Prec@1 78.125 (76.786) Prec@5 93.750 (92.820) Test: [30/391] Time 0.107 (0.155) Loss 1.6112 (1.0259) Prec@1 67.969 (73.311) Prec@5 86.719 (91.961) Test: [40/391] Time 0.101 (0.142) Loss 0.8831 (0.9234) Prec@1 77.344 (76.086) Prec@5 92.969 (92.873) Test: [50/391] Time 0.103 (0.135) Loss 0.5363 (0.9479) Prec@1 85.156 (76.103) Prec@5 96.875 (92.494) Test: [60/391] Time 0.104 (0.130) Loss 1.0982 (0.8981) Prec@1 70.312 (77.369) Prec@5 89.844 (92.930) Test: [70/391] Time 0.101 (0.127) Loss 1.1147 (0.9264) Prec@1 64.844 (76.331) Prec@5 95.312 (92.925) Test: [80/391] Time 0.114 (0.124) Loss 0.8911 (0.9380) Prec@1 77.344 (75.685) Prec@5 95.312 (93.075) Test: [90/391] Time 0.107 (0.123) Loss 1.0798 (0.9383) Prec@1 61.719 (75.635) Prec@5 93.750 (93.201) Test: [100/391] Time 0.104 (0.121) Loss 0.6229 (0.9321) Prec@1 83.594 (75.511) Prec@5 96.875 (93.417) Test: [110/391] Time 0.104 (0.119) Loss 1.2411 (0.9344) Prec@1 53.125 (75.331) Prec@5 96.875 (93.511) Test: [120/391] Time 0.108 (0.118) Loss 0.7574 (0.9276) Prec@1 79.688 (75.568) Prec@5 95.312 (93.569) Test: [130/391] Time 0.103 (0.118) Loss 0.4285 (0.9218) Prec@1 90.625 (75.871) Prec@5 96.875 (93.649) Test: [140/391] Time 0.103 (0.117) Loss 1.2859 (0.9213) Prec@1 64.062 (75.720) Prec@5 90.625 (93.678) Test: [150/391] Time 0.111 (0.116) Loss 0.9356 (0.9273) Prec@1 71.875 (75.740) Prec@5 95.312 (93.517) Test: [160/391] Time 0.102 (0.115) Loss 0.8841 (0.9312) Prec@1 76.562 (75.713) Prec@5 94.531 (93.444) Test: [170/391] Time 0.170 (0.115) Loss 1.6252 (0.9602) Prec@1 54.688 (75.091) Prec@5 86.719 (93.092) Test: [180/391] Time 0.103 (0.115) Loss 2.0521 (0.9946) Prec@1 48.438 (74.413) Prec@5 86.719 (92.641) Test: [190/391] Time 0.098 (0.114) Loss 2.0499 (1.0284) Prec@1 54.688 (73.720) Prec@5 83.594 (92.220) Test: [200/391] Time 0.106 (0.114) Loss 1.1708 (1.0583) Prec@1 69.531 (73.185) Prec@5 92.969 (91.768) Test: [210/391] Time 0.108 (0.113) Loss 1.5498 (1.0748) Prec@1 65.625 (72.886) Prec@5 85.938 (91.595) Test: [220/391] Time 0.109 (0.113) Loss 0.6046 (1.0853) Prec@1 81.250 (72.695) Prec@5 96.875 (91.378) Test: [230/391] Time 0.106 (0.113) Loss 2.0701 (1.0995) Prec@1 52.344 (72.406) Prec@5 81.250 (91.197) Test: [240/391] Time 0.108 (0.113) Loss 1.3426 (1.1086) Prec@1 71.094 (72.290) Prec@5 86.719 (91.053) Test: [250/391] Time 0.098 (0.112) Loss 0.8595 (1.1324) Prec@1 78.125 (71.713) Prec@5 92.188 (90.781) Test: [260/391] Time 0.108 (0.112) Loss 1.4705 (1.1471) Prec@1 64.844 (71.435) Prec@5 85.938 (90.631) Test: [270/391] Time 0.102 (0.112) Loss 1.9713 (1.1569) Prec@1 51.562 (71.226) Prec@5 83.594 (90.495) Test: [280/391] Time 0.105 (0.112) Loss 1.2814 (1.1637) Prec@1 65.625 (71.133) Prec@5 91.406 (90.422) Test: [290/391] Time 0.107 (0.111) Loss 1.6236 (1.1759) Prec@1 42.188 (70.844) Prec@5 90.625 (90.209) Test: [300/391] Time 0.111 (0.111) Loss 1.1692 (1.1866) Prec@1 77.344 (70.632) Prec@5 87.500 (90.038) Test: [310/391] Time 0.110 (0.111) Loss 1.5631 (1.1966) Prec@1 64.062 (70.468) Prec@5 83.594 (89.876) Test: [320/391] Time 0.106 (0.111) Loss 0.7876 (1.2038) Prec@1 85.938 (70.359) Prec@5 92.969 (89.783) Test: [330/391] Time 0.104 (0.111) Loss 1.8367 (1.2217) Prec@1 57.812 (69.951) Prec@5 82.031 (89.556) Test: [340/391] Time 0.098 (0.111) Loss 1.2455 (1.2283) Prec@1 64.844 (69.792) Prec@5 93.750 (89.484) Test: [350/391] Time 0.103 (0.111) Loss 1.2052 (1.2324) Prec@1 70.312 (69.752) Prec@5 91.406 (89.407) Test: [360/391] Time 0.103 (0.110) Loss 1.4816 (1.2418) Prec@1 57.812 (69.551) Prec@5 89.062 (89.318) Test: [370/391] Time 0.113 (0.110) Loss 1.0471 (1.2362) Prec@1 69.531 (69.634) Prec@5 95.312 (89.389) Test: [380/391] Time 0.110 (0.110) Loss 1.0085 (1.2378) Prec@1 74.219 (69.589) Prec@5 92.969 (89.360) Test: [390/391] Time 0.070 (0.110) Loss 1.9979 (1.2316) Prec@1 42.500 (69.742) Prec@5 78.750 (89.440) * Prec@1 69.742 Prec@5 89.440 Epoch: [80][0/10010] Time 2.634 (2.634) Data 2.451 (2.451) Loss 1.2780 (1.2780) Prec@1 70.312 (70.312) Prec@5 89.062 (89.062) Epoch: [80][10/10010] Time 0.314 (0.527) Data 0.001 (0.223) Loss 1.5135 (1.3768) Prec@1 67.188 (68.395) Prec@5 85.156 (87.429) Epoch: [80][20/10010] Time 0.317 (0.427) Data 0.001 (0.117) Loss 1.0575 (1.3578) Prec@1 78.906 (68.564) Prec@5 92.188 (87.388) Epoch: [80][30/10010] Time 0.316 (0.392) Data 0.000 (0.080) Loss 1.5413 (1.3752) Prec@1 64.844 (68.574) Prec@5 83.594 (87.021) /data/vision/torralba/deepscene/lib/anaconda2/lib/python2.7/site-packages/PIL/TiffImagePlugin.py:692: UserWarning: Possibly corrupt EXIF data. Expecting to read 2555904 bytes but only got 0. Skipping tag 0 "Skipping tag %s" % (size, len(data), tag)) Epoch: [80][40/10010] Time 0.337 (0.374) Data 0.001 (0.060) Loss 1.4469 (1.4000) Prec@1 68.750 (68.236) Prec@5 84.375 (86.547) Epoch: [80][50/10010] Time 0.341 (0.366) Data 0.000 (0.049) Loss 1.4079 (1.3909) Prec@1 64.844 (68.290) Prec@5 85.938 (86.657) Epoch: [80][60/10010] Time 0.320 (0.359) Data 0.000 (0.041) Loss 1.3491 (1.3854) Prec@1 69.531 (68.404) Prec@5 86.719 (86.629) Epoch: [80][70/10010] Time 0.335 (0.355) Data 0.001 (0.035) Loss 1.1243 (1.3756) Prec@1 69.531 (68.420) Prec@5 92.188 (86.697) Epoch: [80][80/10010] Time 0.332 (0.353) Data 0.001 (0.031) Loss 1.1570 (1.3599) Prec@1 68.750 (68.596) Prec@5 92.188 (87.037) Epoch: [80][90/10010] Time 0.315 (0.350) Data 0.001 (0.028) Loss 1.2888 (1.3553) Prec@1 67.188 (68.647) Prec@5 90.625 (87.165) Epoch: [80][100/10010] Time 0.336 (0.348) Data 0.000 (0.025) Loss 1.6451 (1.3590) Prec@1 64.062 (68.595) Prec@5 83.594 (87.098) Epoch: [80][110/10010] Time 0.320 (0.346) Data 0.001 (0.023) Loss 1.5980 (1.3625) Prec@1 62.500 (68.595) Prec@5 85.156 (87.064) Epoch: [80][120/10010] Time 0.334 (0.344) Data 0.001 (0.021) Loss 1.5249 (1.3670) Prec@1 63.281 (68.595) Prec@5 85.156 (86.977) Epoch: [80][130/10010] Time 0.322 (0.343) Data 0.001 (0.019) Loss 1.0373 (1.3641) Prec@1 79.688 (68.678) Prec@5 90.625 (87.017) Epoch: [80][140/10010] Time 0.322 (0.342) Data 0.000 (0.018) Loss 1.6023 (1.3652) Prec@1 66.406 (68.695) Prec@5 85.156 (86.968) Epoch: [80][150/10010] Time 0.324 (0.340) Data 0.001 (0.017) Loss 1.4016 (1.3671) Prec@1 65.625 (68.590) Prec@5 89.062 (86.962) Epoch: [80][160/10010] Time 0.326 (0.339) Data 0.001 (0.016) Loss 1.3017 (1.3681) Prec@1 66.406 (68.541) Prec@5 87.500 (86.859) /data/vision/torralba/deepscene/lib/anaconda2/lib/python2.7/site-packages/PIL/TiffImagePlugin.py:692: UserWarning: Possibly corrupt EXIF data. Expecting to read 19660800 bytes but only got 0. Skipping tag 0 "Skipping tag %s" % (size, len(data), tag)) /data/vision/torralba/deepscene/lib/anaconda2/lib/python2.7/site-packages/PIL/TiffImagePlugin.py:692: UserWarning: Possibly corrupt EXIF data. Expecting to read 18481152 bytes but only got 0. Skipping tag 0 "Skipping tag %s" % (size, len(data), tag)) /data/vision/torralba/deepscene/lib/anaconda2/lib/python2.7/site-packages/PIL/TiffImagePlugin.py:692: UserWarning: Possibly corrupt EXIF data. Expecting to read 37093376 bytes but only got 0. Skipping tag 0 "Skipping tag %s" % (size, len(data), tag)) /data/vision/torralba/deepscene/lib/anaconda2/lib/python2.7/site-packages/PIL/TiffImagePlugin.py:692: UserWarning: Possibly corrupt EXIF data. Expecting to read 39976960 bytes but only got 0. Skipping tag 0 "Skipping tag %s" % (size, len(data), tag)) /data/vision/torralba/deepscene/lib/anaconda2/lib/python2.7/site-packages/PIL/TiffImagePlugin.py:692: UserWarning: Possibly corrupt EXIF data. Expecting to read 34865152 bytes but only got 0. Skipping tag 0 "Skipping tag %s" % (size, len(data), tag)) /data/vision/torralba/deepscene/lib/anaconda2/lib/python2.7/site-packages/PIL/TiffImagePlugin.py:709: UserWarning: Corrupt EXIF data. Expecting to read 12 bytes but only got 10. warnings.warn(str(msg)) Epoch: [80][170/10010] Time 0.316 (0.338) Data 0.001 (0.015) Loss 1.2277 (1.3705) Prec@1 62.500 (68.448) Prec@5 89.844 (86.838) Epoch: [80][180/10010] Time 0.321 (0.337) Data 0.001 (0.014) Loss 1.7470 (1.3725) Prec@1 60.156 (68.405) Prec@5 78.125 (86.792) Epoch: [80][190/10010] Time 0.319 (0.337) Data 0.001 (0.013) Loss 1.6174 (1.3724) Prec@1 64.062 (68.374) Prec@5 80.469 (86.825) Epoch: [80][200/10010] Time 0.324 (0.336) Data 0.001 (0.013) Loss 1.2070 (1.3699) Prec@1 72.656 (68.400) Prec@5 91.406 (86.839) Epoch: [80][210/10010] Time 0.328 (0.336) Data 0.000 (0.012) Loss 1.4377 (1.3714) Prec@1 71.094 (68.432) Prec@5 86.719 (86.830) Epoch: [80][220/10010] Time 0.329 (0.336) Data 0.000 (0.012) Loss 1.1556 (1.3720) Prec@1 72.656 (68.379) Prec@5 86.719 (86.797) Epoch: [80][230/10010] Time 0.321 (0.335) Data 0.001 (0.011) Loss 1.3110 (1.3679) Prec@1 71.094 (68.500) Prec@5 85.938 (86.878) Epoch: [80][240/10010] Time 0.332 (0.335) Data 0.000 (0.011) Loss 1.4192 (1.3683) Prec@1 69.531 (68.520) Prec@5 88.281 (86.861) Epoch: [80][250/10010] Time 0.330 (0.334) Data 0.001 (0.010) Loss 1.3473 (1.3696) Prec@1 68.750 (68.523) Prec@5 85.156 (86.790) Epoch: [80][260/10010] Time 0.326 (0.334) Data 0.001 (0.010) Loss 1.4331 (1.3727) Prec@1 64.062 (68.481) Prec@5 87.500 (86.743) Epoch: [80][270/10010] Time 0.315 (0.333) Data 0.001 (0.010) Loss 1.3390 (1.3735) Prec@1 67.188 (68.430) Prec@5 86.719 (86.748) Epoch: [80][280/10010] Time 0.339 (0.333) Data 0.001 (0.009) Loss 1.4850 (1.3709) Prec@1 61.719 (68.397) Prec@5 83.594 (86.788) Epoch: [80][290/10010] Time 0.322 (0.333) Data 0.001 (0.009) Loss 1.3534 (1.3711) Prec@1 71.094 (68.385) Prec@5 89.062 (86.797) Epoch: [80][300/10010] Time 0.320 (0.332) Data 0.001 (0.009) Loss 1.2276 (1.3710) Prec@1 71.094 (68.397) Prec@5 86.719 (86.791) Epoch: [80][310/10010] Time 0.333 (0.332) Data 0.001 (0.009) Loss 1.3559 (1.3704) Prec@1 67.188 (68.411) Prec@5 88.281 (86.789) Epoch: [80][320/10010] Time 0.316 (0.332) Data 0.001 (0.008) Loss 1.2025 (1.3693) Prec@1 71.875 (68.434) Prec@5 87.500 (86.787) Epoch: [80][330/10010] Time 0.336 (0.332) Data 0.001 (0.008) Loss 1.0226 (1.3675) Prec@1 71.875 (68.438) Prec@5 92.969 (86.797) Epoch: [80][340/10010] Time 0.320 (0.332) Data 0.001 (0.008) Loss 1.2899 (1.3651) Prec@1 71.094 (68.484) Prec@5 89.844 (86.842) Epoch: [80][350/10010] Time 0.323 (0.332) Data 0.001 (0.008) Loss 1.2414 (1.3653) Prec@1 69.531 (68.463) Prec@5 88.281 (86.841) Epoch: [80][360/10010] Time 0.318 (0.331) Data 0.001 (0.007) Loss 1.2807 (1.3646) Prec@1 63.281 (68.451) Prec@5 86.719 (86.855) Epoch: [80][370/10010] Time 0.324 (0.331) Data 0.000 (0.007) Loss 1.3293 (1.3651) Prec@1 72.656 (68.470) Prec@5 86.719 (86.839) Epoch: [80][380/10010] Time 0.317 (0.331) Data 0.001 (0.007) Loss 1.3581 (1.3632) Prec@1 65.625 (68.488) Prec@5 85.938 (86.862) Epoch: [80][390/10010] Time 0.314 (0.331) Data 0.001 (0.007) Loss 1.2320 (1.3628) Prec@1 66.406 (68.466) Prec@5 91.406 (86.887) Epoch: [80][400/10010] Time 0.317 (0.331) Data 0.000 (0.007) Loss 1.2824 (1.3623) Prec@1 68.750 (68.462) Prec@5 89.062 (86.892) Epoch: [80][410/10010] Time 0.325 (0.331) Data 0.001 (0.007) Loss 1.6838 (1.3635) Prec@1 57.031 (68.408) Prec@5 82.031 (86.884) Epoch: [80][420/10010] Time 0.332 (0.331) Data 0.001 (0.006) Loss 1.3764 (1.3625) Prec@1 68.750 (68.414) Prec@5 86.719 (86.904) Epoch: [80][430/10010] Time 0.318 (0.331) Data 0.001 (0.006) Loss 1.6100 (1.3646) Prec@1 64.844 (68.353) Prec@5 85.156 (86.862) Epoch: [80][440/10010] Time 0.331 (0.330) Data 0.000 (0.006) Loss 1.0791 (1.3629) Prec@1 75.000 (68.397) Prec@5 91.406 (86.876) Epoch: [80][450/10010] Time 0.320 (0.330) Data 0.000 (0.006) Loss 1.4941 (1.3612) Prec@1 67.969 (68.461) Prec@5 85.156 (86.908) Epoch: [80][460/10010] Time 0.318 (0.330) Data 0.000 (0.006) Loss 1.1085 (1.3625) Prec@1 67.188 (68.411) Prec@5 94.531 (86.907) Epoch: [80][470/10010] Time 0.311 (0.330) Data 0.001 (0.006) Loss 1.5850 (1.3625) Prec@1 62.500 (68.397) Prec@5 85.156 (86.928) Epoch: [80][480/10010] Time 0.318 (0.330) Data 0.001 (0.006) Loss 1.1940 (1.3607) Prec@1 71.094 (68.441) Prec@5 90.625 (86.949) Epoch: [80][490/10010] Time 0.339 (0.330) Data 0.001 (0.006) Loss 1.3472 (1.3609) Prec@1 72.656 (68.460) Prec@5 89.062 (86.949) Epoch: [80][500/10010] Time 0.333 (0.330) Data 0.001 (0.006) Loss 1.4508 (1.3614) Prec@1 67.188 (68.446) Prec@5 85.938 (86.942) Epoch: [80][510/10010] Time 0.334 (0.330) Data 0.000 (0.005) Loss 1.3686 (1.3613) Prec@1 68.750 (68.434) Prec@5 85.938 (86.928) Epoch: [80][520/10010] Time 0.325 (0.330) Data 0.001 (0.005) Loss 1.4929 (1.3619) Prec@1 64.844 (68.411) Prec@5 84.375 (86.914) Epoch: [80][530/10010] Time 0.328 (0.329) Data 0.001 (0.005) Loss 1.5501 (1.3635) Prec@1 64.844 (68.381) Prec@5 85.938 (86.892) Epoch: [80][540/10010] Time 0.319 (0.329) Data 0.000 (0.005) Loss 1.3980 (1.3645) Prec@1 67.969 (68.346) Prec@5 85.156 (86.876) Epoch: [80][550/10010] Time 0.341 (0.329) Data 0.000 (0.005) Loss 1.2387 (1.3631) Prec@1 73.438 (68.370) Prec@5 90.625 (86.902) Epoch: [80][560/10010] Time 0.321 (0.329) Data 0.000 (0.005) Loss 1.1241 (1.3613) Prec@1 70.312 (68.409) Prec@5 90.625 (86.940) Epoch: [80][570/10010] Time 0.328 (0.329) Data 0.000 (0.005) Loss 1.0564 (1.3612) Prec@1 72.656 (68.422) Prec@5 89.062 (86.932) Epoch: [80][580/10010] Time 0.319 (0.329) Data 0.000 (0.005) Loss 1.0448 (1.3615) Prec@1 73.438 (68.446) Prec@5 92.969 (86.916) Epoch: [80][590/10010] Time 0.337 (0.329) Data 0.001 (0.005) Loss 1.2430 (1.3613) Prec@1 69.531 (68.435) Prec@5 88.281 (86.914) Epoch: [80][600/10010] Time 0.321 (0.329) Data 0.001 (0.005) Loss 1.4534 (1.3604) Prec@1 67.188 (68.452) Prec@5 88.281 (86.918) Epoch: [80][610/10010] Time 0.321 (0.329) Data 0.000 (0.005) Loss 1.2493 (1.3608) Prec@1 66.406 (68.423) Prec@5 90.625 (86.919) Epoch: [80][620/10010] Time 0.338 (0.329) Data 0.000 (0.005) Loss 1.2396 (1.3602) Prec@1 71.094 (68.414) Prec@5 88.281 (86.925) Epoch: [80][630/10010] Time 0.336 (0.329) Data 0.000 (0.005) Loss 1.3644 (1.3612) Prec@1 67.969 (68.377) Prec@5 85.938 (86.911) Epoch: [80][640/10010] Time 0.320 (0.329) Data 0.000 (0.004) Loss 1.4203 (1.3603) Prec@1 67.969 (68.382) Prec@5 82.031 (86.920) Epoch: [80][650/10010] Time 0.340 (0.329) Data 0.000 (0.004) Loss 1.2477 (1.3603) Prec@1 70.312 (68.379) Prec@5 87.500 (86.923) Epoch: [80][660/10010] Time 0.337 (0.329) Data 0.001 (0.004) Loss 1.4321 (1.3607) Prec@1 70.312 (68.380) Prec@5 82.812 (86.914) Epoch: [80][670/10010] Time 0.319 (0.329) Data 0.001 (0.004) Loss 1.3085 (1.3587) Prec@1 71.875 (68.421) Prec@5 86.719 (86.946) Epoch: [80][680/10010] Time 0.318 (0.329) Data 0.001 (0.004) Loss 1.4697 (1.3587) Prec@1 67.188 (68.436) Prec@5 84.375 (86.945) Epoch: [80][690/10010] Time 0.342 (0.329) Data 0.001 (0.004) Loss 1.4181 (1.3579) Prec@1 65.625 (68.444) Prec@5 85.156 (86.951) Epoch: [80][700/10010] Time 0.333 (0.329) Data 0.001 (0.004) Loss 1.3374 (1.3576) Prec@1 64.062 (68.448) Prec@5 86.719 (86.952) Epoch: [80][710/10010] Time 0.333 (0.329) Data 0.000 (0.004) Loss 1.1101 (1.3579) Prec@1 71.875 (68.426) Prec@5 91.406 (86.958) Epoch: [80][720/10010] Time 0.318 (0.329) Data 0.000 (0.004) Loss 1.5048 (1.3574) Prec@1 62.500 (68.447) Prec@5 84.375 (86.968) Epoch: [80][730/10010] Time 0.341 (0.329) Data 0.000 (0.004) Loss 1.4363 (1.3558) Prec@1 71.094 (68.501) Prec@5 83.594 (86.988) Epoch: [80][740/10010] Time 0.324 (0.329) Data 0.001 (0.004) Loss 1.1418 (1.3543) Prec@1 73.438 (68.536) Prec@5 92.188 (87.027) Epoch: [80][750/10010] Time 0.338 (0.329) Data 0.000 (0.004) Loss 1.3033 (1.3551) Prec@1 65.625 (68.522) Prec@5 92.188 (87.010) Epoch: [80][760/10010] Time 0.316 (0.329) Data 0.000 (0.004) Loss 1.4239 (1.3553) Prec@1 66.406 (68.507) Prec@5 85.156 (86.991) Epoch: [80][770/10010] Time 0.340 (0.329) Data 0.000 (0.004) Loss 1.2280 (1.3554) Prec@1 66.406 (68.487) Prec@5 86.719 (86.996) Epoch: [80][780/10010] Time 0.317 (0.329) Data 0.001 (0.004) Loss 1.1877 (1.3547) Prec@1 71.875 (68.510) Prec@5 89.844 (87.001) Epoch: [80][790/10010] Time 0.342 (0.329) Data 0.001 (0.004) Loss 1.3709 (1.3545) Prec@1 71.094 (68.519) Prec@5 87.500 (87.010) Epoch: [80][800/10010] Time 0.337 (0.329) Data 0.001 (0.004) Loss 1.2751 (1.3539) Prec@1 75.000 (68.553) Prec@5 87.500 (87.012) Epoch: [80][810/10010] Time 0.338 (0.329) Data 0.001 (0.004) Loss 1.6165 (1.3543) Prec@1 69.531 (68.556) Prec@5 80.469 (87.008) Epoch: [80][820/10010] Time 0.317 (0.329) Data 0.000 (0.004) Loss 1.2303 (1.3542) Prec@1 71.875 (68.561) Prec@5 87.500 (87.008) Epoch: [80][830/10010] Time 0.335 (0.329) Data 0.000 (0.004) Loss 1.3689 (1.3546) Prec@1 68.750 (68.554) Prec@5 87.500 (86.984) Epoch: [80][840/10010] Time 0.321 (0.329) Data 0.001 (0.004) Loss 1.3945 (1.3539) Prec@1 65.625 (68.560) Prec@5 85.938 (86.990) Epoch: [80][850/10010] Time 0.338 (0.329) Data 0.000 (0.004) Loss 1.1511 (1.3540) Prec@1 75.000 (68.557) Prec@5 89.062 (86.982) Epoch: [80][860/10010] Time 0.317 (0.329) Data 0.001 (0.003) Loss 1.1368 (1.3532) Prec@1 73.438 (68.577) Prec@5 90.625 (87.001) Epoch: [80][870/10010] Time 0.337 (0.329) Data 0.001 (0.003) Loss 1.6141 (1.3530) Prec@1 60.938 (68.570) Prec@5 84.375 (87.012) Epoch: [80][880/10010] Time 0.338 (0.329) Data 0.000 (0.003) Loss 1.2816 (1.3532) Prec@1 73.438 (68.571) Prec@5 87.500 (87.011) Epoch: [80][890/10010] Time 0.341 (0.329) Data 0.001 (0.003) Loss 1.3955 (1.3538) Prec@1 66.406 (68.561) Prec@5 86.719 (86.993) Epoch: [80][900/10010] Time 0.327 (0.329) Data 0.000 (0.003) Loss 1.4251 (1.3537) Prec@1 61.719 (68.551) Prec@5 85.938 (86.984) Epoch: [80][910/10010] Time 0.316 (0.329) Data 0.000 (0.003) Loss 1.4945 (1.3529) Prec@1 65.625 (68.566) Prec@5 85.938 (86.996) Epoch: [80][920/10010] Time 0.339 (0.329) Data 0.001 (0.003) Loss 1.7191 (1.3530) Prec@1 61.719 (68.572) Prec@5 81.250 (86.981) Epoch: [80][930/10010] Time 0.321 (0.329) Data 0.000 (0.003) Loss 1.6217 (1.3523) Prec@1 61.719 (68.612) Prec@5 83.594 (86.994) Epoch: [80][940/10010] Time 0.335 (0.329) Data 0.000 (0.003) Loss 1.3453 (1.3529) Prec@1 69.531 (68.598) Prec@5 88.281 (86.979) /data/vision/torralba/deepscene/lib/anaconda2/lib/python2.7/site-packages/PIL/TiffImagePlugin.py:692: UserWarning: Possibly corrupt EXIF data. Expecting to read 2555904 bytes but only got 0. Skipping tag 0 "Skipping tag %s" % (size, len(data), tag)) Epoch: [80][950/10010] Time 0.334 (0.329) Data 0.001 (0.003) Loss 1.4569 (1.3538) Prec@1 69.531 (68.576) Prec@5 84.375 (86.967) Epoch: [80][960/10010] Time 0.318 (0.329) Data 0.001 (0.003) Loss 1.1050 (1.3536) Prec@1 75.781 (68.578) Prec@5 88.281 (86.966) Epoch: [80][970/10010] Time 0.323 (0.329) Data 0.000 (0.003) Loss 1.4757 (1.3543) Prec@1 64.844 (68.571) Prec@5 84.375 (86.959) Epoch: [80][980/10010] Time 0.337 (0.329) Data 0.000 (0.003) Loss 1.2586 (1.3546) Prec@1 65.625 (68.576) Prec@5 89.062 (86.950) Epoch: [80][990/10010] Time 0.326 (0.329) Data 0.000 (0.003) Loss 1.4780 (1.3544) Prec@1 71.094 (68.587) Prec@5 85.938 (86.962) Epoch: [80][1000/10010] Time 0.327 (0.329) Data 0.001 (0.003) Loss 1.1657 (1.3534) Prec@1 64.844 (68.595) Prec@5 92.969 (86.992) Epoch: [80][1010/10010] Time 0.333 (0.328) Data 0.001 (0.003) Loss 1.2948 (1.3536) Prec@1 67.188 (68.592) Prec@5 85.938 (86.985) Epoch: [80][1020/10010] Time 0.319 (0.328) Data 0.001 (0.003) Loss 1.6470 (1.3531) Prec@1 60.156 (68.601) Prec@5 84.375 (86.993) Epoch: [80][1030/10010] Time 0.338 (0.329) Data 0.001 (0.003) Loss 1.4455 (1.3540) Prec@1 64.062 (68.594) Prec@5 85.938 (86.974) Epoch: [80][1040/10010] Time 0.323 (0.329) Data 0.001 (0.003) Loss 1.3490 (1.3544) Prec@1 67.969 (68.586) Prec@5 85.938 (86.961) Epoch: [80][1050/10010] Time 0.322 (0.329) Data 0.000 (0.003) Loss 1.5260 (1.3545) Prec@1 64.844 (68.572) Prec@5 85.156 (86.956) Epoch: [80][1060/10010] Time 0.321 (0.329) Data 0.001 (0.003) Loss 1.2679 (1.3546) Prec@1 70.312 (68.546) Prec@5 88.281 (86.956) Epoch: [80][1070/10010] Time 0.335 (0.329) Data 0.001 (0.003) Loss 1.6960 (1.3550) Prec@1 60.156 (68.531) Prec@5 82.031 (86.957) Epoch: [80][1080/10010] Time 0.321 (0.329) Data 0.001 (0.003) Loss 1.2232 (1.3554) Prec@1 67.969 (68.517) Prec@5 92.188 (86.952) Epoch: [80][1090/10010] Time 0.330 (0.329) Data 0.000 (0.003) Loss 1.5475 (1.3559) Prec@1 65.625 (68.499) Prec@5 85.938 (86.948) Epoch: [80][1100/10010] Time 0.329 (0.328) Data 0.001 (0.003) Loss 1.2033 (1.3558) Prec@1 72.656 (68.495) Prec@5 88.281 (86.949) Epoch: [80][1110/10010] Time 0.317 (0.328) Data 0.001 (0.003) Loss 1.3290 (1.3556) Prec@1 67.969 (68.504) Prec@5 89.062 (86.951) Epoch: [80][1120/10010] Time 0.312 (0.328) Data 0.000 (0.003) Loss 1.4672 (1.3558) Prec@1 66.406 (68.505) Prec@5 84.375 (86.949) Epoch: [80][1130/10010] Time 0.324 (0.328) Data 0.000 (0.003) Loss 1.0373 (1.3552) Prec@1 78.125 (68.514) Prec@5 89.844 (86.960) Epoch: [80][1140/10010] Time 0.324 (0.328) Data 0.001 (0.003) Loss 1.5336 (1.3547) Prec@1 60.938 (68.532) Prec@5 84.375 (86.970) Epoch: [80][1150/10010] Time 0.326 (0.328) Data 0.000 (0.003) Loss 1.3042 (1.3552) Prec@1 69.531 (68.525) Prec@5 86.719 (86.960) Epoch: [80][1160/10010] Time 0.341 (0.328) Data 0.001 (0.003) Loss 1.2686 (1.3544) Prec@1 74.219 (68.551) Prec@5 88.281 (86.966) Epoch: [80][1170/10010] Time 0.326 (0.328) Data 0.000 (0.003) Loss 1.5358 (1.3551) Prec@1 65.625 (68.539) Prec@5 84.375 (86.948) Epoch: [80][1180/10010] Time 0.320 (0.328) Data 0.001 (0.003) Loss 1.2153 (1.3546) Prec@1 71.875 (68.544) Prec@5 90.625 (86.959) Epoch: [80][1190/10010] Time 0.321 (0.328) Data 0.000 (0.003) Loss 1.2601 (1.3546) Prec@1 73.438 (68.543) Prec@5 88.281 (86.959) Epoch: [80][1200/10010] Time 0.338 (0.328) Data 0.000 (0.003) Loss 1.2172 (1.3538) Prec@1 70.312 (68.554) Prec@5 87.500 (86.969) Epoch: [80][1210/10010] Time 0.316 (0.328) Data 0.001 (0.003) Loss 1.5806 (1.3536) Prec@1 64.062 (68.567) Prec@5 83.594 (86.964) Epoch: [80][1220/10010] Time 0.336 (0.328) Data 0.000 (0.003) Loss 1.6301 (1.3534) Prec@1 65.625 (68.573) Prec@5 84.375 (86.968) Epoch: [80][1230/10010] Time 0.325 (0.328) Data 0.001 (0.003) Loss 1.1498 (1.3527) Prec@1 73.438 (68.586) Prec@5 91.406 (86.974) Epoch: [80][1240/10010] Time 0.321 (0.328) Data 0.000 (0.003) Loss 1.4049 (1.3520) Prec@1 68.750 (68.596) Prec@5 82.812 (86.982) Epoch: [80][1250/10010] Time 0.330 (0.328) Data 0.000 (0.003) Loss 1.4572 (1.3516) Prec@1 62.500 (68.591) Prec@5 85.156 (86.993) Epoch: [80][1260/10010] Time 0.319 (0.328) Data 0.001 (0.003) Loss 1.5093 (1.3520) Prec@1 66.406 (68.584) Prec@5 84.375 (86.985) Epoch: [80][1270/10010] Time 0.339 (0.328) Data 0.001 (0.003) Loss 1.4399 (1.3521) Prec@1 73.438 (68.585) Prec@5 86.719 (86.981) Epoch: [80][1280/10010] Time 0.337 (0.328) Data 0.000 (0.003) Loss 1.6347 (1.3520) Prec@1 65.625 (68.576) Prec@5 84.375 (86.985) Epoch: [80][1290/10010] Time 0.322 (0.328) Data 0.001 (0.003) Loss 1.4737 (1.3522) Prec@1 67.188 (68.580) Prec@5 85.156 (86.984) Epoch: [80][1300/10010] Time 0.317 (0.328) Data 0.000 (0.003) Loss 1.1478 (1.3517) Prec@1 70.312 (68.592) Prec@5 89.844 (86.994) Epoch: [80][1310/10010] Time 0.321 (0.328) Data 0.000 (0.002) Loss 1.5742 (1.3515) Prec@1 66.406 (68.603) Prec@5 85.938 (87.004) Epoch: [80][1320/10010] Time 0.330 (0.328) Data 0.001 (0.002) Loss 1.1979 (1.3519) Prec@1 73.438 (68.578) Prec@5 88.281 (86.999) Epoch: [80][1330/10010] Time 0.322 (0.328) Data 0.001 (0.002) Loss 1.0889 (1.3518) Prec@1 77.344 (68.579) Prec@5 90.625 (87.002) Epoch: [80][1340/10010] Time 0.317 (0.328) Data 0.001 (0.002) Loss 1.3693 (1.3519) Prec@1 67.188 (68.576) Prec@5 88.281 (87.004) Epoch: [80][1350/10010] Time 0.332 (0.328) Data 0.000 (0.002) Loss 1.2800 (1.3517) Prec@1 70.312 (68.571) Prec@5 88.281 (87.007) Epoch: [80][1360/10010] Time 0.321 (0.328) Data 0.000 (0.002) Loss 1.3328 (1.3516) Prec@1 65.625 (68.569) Prec@5 87.500 (87.009) Epoch: [80][1370/10010] Time 0.322 (0.328) Data 0.001 (0.002) Loss 1.5202 (1.3521) Prec@1 65.625 (68.557) Prec@5 83.594 (87.003) Epoch: [80][1380/10010] Time 0.317 (0.328) Data 0.001 (0.002) Loss 1.3244 (1.3523) Prec@1 68.750 (68.550) Prec@5 90.625 (87.002) Epoch: [80][1390/10010] Time 0.339 (0.328) Data 0.001 (0.002) Loss 1.2570 (1.3524) Prec@1 67.969 (68.547) Prec@5 89.844 (87.000) Epoch: [80][1400/10010] Time 0.318 (0.328) Data 0.001 (0.002) Loss 1.4879 (1.3524) Prec@1 63.281 (68.543) Prec@5 85.938 (86.999) Epoch: [80][1410/10010] Time 0.330 (0.328) Data 0.001 (0.002) Loss 1.2012 (1.3527) Prec@1 72.656 (68.544) Prec@5 89.844 (87.002) Epoch: [80][1420/10010] Time 0.322 (0.328) Data 0.001 (0.002) Loss 1.2498 (1.3527) Prec@1 69.531 (68.534) Prec@5 88.281 (87.005) Epoch: [80][1430/10010] Time 0.324 (0.328) Data 0.000 (0.002) Loss 1.4312 (1.3529) Prec@1 67.969 (68.531) Prec@5 87.500 (87.004) Epoch: [80][1440/10010] Time 0.334 (0.328) Data 0.001 (0.002) Loss 0.9731 (1.3520) Prec@1 74.219 (68.552) Prec@5 92.188 (87.013) Epoch: [80][1450/10010] Time 0.317 (0.328) Data 0.001 (0.002) Loss 1.0654 (1.3518) Prec@1 72.656 (68.560) Prec@5 92.188 (87.014) Epoch: [80][1460/10010] Time 0.324 (0.328) Data 0.000 (0.002) Loss 1.2174 (1.3520) Prec@1 70.312 (68.550) Prec@5 89.062 (87.012) Epoch: [80][1470/10010] Time 0.312 (0.328) Data 0.001 (0.002) Loss 1.4306 (1.3523) Prec@1 65.625 (68.544) Prec@5 83.594 (87.014) Epoch: [80][1480/10010] Time 0.319 (0.327) Data 0.001 (0.002) Loss 1.3134 (1.3518) Prec@1 67.969 (68.562) Prec@5 89.062 (87.020) Epoch: [80][1490/10010] Time 0.319 (0.327) Data 0.001 (0.002) Loss 1.5080 (1.3517) Prec@1 68.750 (68.557) Prec@5 82.812 (87.022) Epoch: [80][1500/10010] Time 0.321 (0.327) Data 0.001 (0.002) Loss 1.1782 (1.3517) Prec@1 71.875 (68.561) Prec@5 89.062 (87.020) Epoch: [80][1510/10010] Time 0.335 (0.327) Data 0.000 (0.002) Loss 1.3192 (1.3519) Prec@1 68.750 (68.557) Prec@5 85.938 (87.016) Epoch: [80][1520/10010] Time 0.321 (0.327) Data 0.001 (0.002) Loss 1.5875 (1.3525) Prec@1 61.719 (68.536) Prec@5 83.594 (87.006) Epoch: [80][1530/10010] Time 0.332 (0.327) Data 0.001 (0.002) Loss 1.1759 (1.3524) Prec@1 67.188 (68.536) Prec@5 91.406 (87.009) Epoch: [80][1540/10010] Time 0.330 (0.327) Data 0.001 (0.002) Loss 1.1115 (1.3523) Prec@1 74.219 (68.539) Prec@5 90.625 (87.011) Epoch: [80][1550/10010] Time 0.317 (0.328) Data 0.000 (0.002) Loss 1.2910 (1.3522) Prec@1 72.656 (68.540) Prec@5 88.281 (87.012) Epoch: [80][1560/10010] Time 0.323 (0.327) Data 0.001 (0.002) Loss 1.3653 (1.3522) Prec@1 72.656 (68.536) Prec@5 88.281 (87.009) Epoch: [80][1570/10010] Time 0.334 (0.327) Data 0.001 (0.002) Loss 1.3260 (1.3527) Prec@1 65.625 (68.520) Prec@5 89.844 (86.998) Epoch: [80][1580/10010] Time 0.313 (0.328) Data 0.001 (0.002) Loss 1.2150 (1.3528) Prec@1 71.094 (68.523) Prec@5 89.062 (87.004) Epoch: [80][1590/10010] Time 0.322 (0.327) Data 0.001 (0.002) Loss 1.3732 (1.3533) Prec@1 66.406 (68.515) Prec@5 85.938 (86.993) Epoch: [80][1600/10010] Time 0.319 (0.327) Data 0.001 (0.002) Loss 1.6220 (1.3529) Prec@1 60.938 (68.520) Prec@5 83.594 (86.994) Epoch: [80][1610/10010] Time 0.336 (0.327) Data 0.001 (0.002) Loss 1.5238 (1.3534) Prec@1 60.938 (68.516) Prec@5 85.156 (86.987) Epoch: [80][1620/10010] Time 0.341 (0.328) Data 0.001 (0.002) Loss 1.4859 (1.3533) Prec@1 60.156 (68.519) Prec@5 84.375 (86.991) Epoch: [80][1630/10010] Time 0.314 (0.328) Data 0.000 (0.002) Loss 1.1698 (1.3531) Prec@1 74.219 (68.523) Prec@5 87.500 (86.995) Epoch: [80][1640/10010] Time 0.334 (0.327) Data 0.001 (0.002) Loss 1.2447 (1.3530) Prec@1 67.188 (68.529) Prec@5 90.625 (86.999) Epoch: [80][1650/10010] Time 0.311 (0.327) Data 0.001 (0.002) Loss 1.7134 (1.3529) Prec@1 65.625 (68.529) Prec@5 80.469 (86.997) Epoch: [80][1660/10010] Time 0.315 (0.327) Data 0.001 (0.002) Loss 1.4740 (1.3534) Prec@1 65.625 (68.522) Prec@5 88.281 (86.987) Epoch: [80][1670/10010] Time 0.320 (0.327) Data 0.001 (0.002) Loss 1.5491 (1.3531) Prec@1 67.969 (68.523) Prec@5 84.375 (86.984) Epoch: [80][1680/10010] Time 0.315 (0.327) Data 0.001 (0.002) Loss 1.4416 (1.3530) Prec@1 66.406 (68.528) Prec@5 82.031 (86.980) Epoch: [80][1690/10010] Time 0.319 (0.327) Data 0.001 (0.002) Loss 1.2338 (1.3526) Prec@1 70.312 (68.537) Prec@5 86.719 (86.981) Epoch: [80][1700/10010] Time 0.321 (0.327) Data 0.001 (0.002) Loss 1.4467 (1.3526) Prec@1 63.281 (68.546) Prec@5 85.156 (86.984) Epoch: [80][1710/10010] Time 0.327 (0.327) Data 0.001 (0.002) Loss 1.3404 (1.3524) Prec@1 67.188 (68.542) Prec@5 86.719 (86.990) Epoch: [80][1720/10010] Time 0.328 (0.327) Data 0.001 (0.002) Loss 1.2698 (1.3521) Prec@1 72.656 (68.543) Prec@5 86.719 (86.997) Epoch: [80][1730/10010] Time 0.312 (0.327) Data 0.001 (0.002) Loss 1.1551 (1.3521) Prec@1 75.000 (68.552) Prec@5 89.062 (86.998) Epoch: [80][1740/10010] Time 0.322 (0.327) Data 0.001 (0.002) Loss 1.5121 (1.3513) Prec@1 68.750 (68.574) Prec@5 83.594 (87.008) Epoch: [80][1750/10010] Time 0.337 (0.327) Data 0.000 (0.002) Loss 1.5281 (1.3512) Prec@1 65.625 (68.575) Prec@5 85.938 (87.009) Epoch: [80][1760/10010] Time 0.322 (0.327) Data 0.001 (0.002) Loss 1.4577 (1.3515) Prec@1 67.188 (68.561) Prec@5 85.938 (87.006) Epoch: [80][1770/10010] Time 0.339 (0.327) Data 0.000 (0.002) Loss 1.2043 (1.3512) Prec@1 73.438 (68.574) Prec@5 88.281 (87.014) Epoch: [80][1780/10010] Time 0.321 (0.327) Data 0.001 (0.002) Loss 1.2405 (1.3509) Prec@1 73.438 (68.581) Prec@5 85.938 (87.017) Epoch: [80][1790/10010] Time 0.319 (0.327) Data 0.001 (0.002) Loss 1.3504 (1.3508) Prec@1 71.094 (68.582) Prec@5 87.500 (87.019) Epoch: [80][1800/10010] Time 0.322 (0.327) Data 0.000 (0.002) Loss 1.2045 (1.3504) Prec@1 71.094 (68.592) Prec@5 87.500 (87.023) Epoch: [80][1810/10010] Time 0.320 (0.327) Data 0.000 (0.002) Loss 1.3903 (1.3506) Prec@1 70.312 (68.590) Prec@5 87.500 (87.021) Epoch: [80][1820/10010] Time 0.334 (0.327) Data 0.001 (0.002) Loss 1.1959 (1.3504) Prec@1 75.781 (68.605) Prec@5 89.844 (87.021) Epoch: [80][1830/10010] Time 0.317 (0.327) Data 0.001 (0.002) Loss 1.3572 (1.3509) Prec@1 73.438 (68.602) Prec@5 88.281 (87.015) Epoch: [80][1840/10010] Time 0.342 (0.327) Data 0.000 (0.002) Loss 1.1054 (1.3506) Prec@1 75.000 (68.611) Prec@5 89.844 (87.015) Epoch: [80][1850/10010] Time 0.324 (0.327) Data 0.001 (0.002) Loss 1.1274 (1.3506) Prec@1 75.000 (68.613) Prec@5 92.969 (87.015) Epoch: [80][1860/10010] Time 0.319 (0.327) Data 0.001 (0.002) Loss 1.5574 (1.3507) Prec@1 65.625 (68.606) Prec@5 87.500 (87.017) Epoch: [80][1870/10010] Time 0.320 (0.327) Data 0.000 (0.002) Loss 1.3037 (1.3506) Prec@1 67.188 (68.601) Prec@5 88.281 (87.019) Epoch: [80][1880/10010] Time 0.321 (0.327) Data 0.000 (0.002) Loss 1.3965 (1.3509) Prec@1 61.719 (68.595) Prec@5 87.500 (87.012) Epoch: [80][1890/10010] Time 0.325 (0.327) Data 0.000 (0.002) Loss 1.1204 (1.3507) Prec@1 71.094 (68.594) Prec@5 92.188 (87.015) Epoch: [80][1900/10010] Time 0.313 (0.327) Data 0.001 (0.002) Loss 1.1578 (1.3504) Prec@1 73.438 (68.598) Prec@5 89.844 (87.020) Epoch: [80][1910/10010] Time 0.334 (0.327) Data 0.001 (0.002) Loss 1.5677 (1.3503) Prec@1 68.750 (68.603) Prec@5 83.594 (87.020) Epoch: [80][1920/10010] Time 0.314 (0.327) Data 0.000 (0.002) Loss 1.3603 (1.3503) Prec@1 69.531 (68.603) Prec@5 88.281 (87.017) Epoch: [80][1930/10010] Time 0.320 (0.327) Data 0.001 (0.002) Loss 1.3102 (1.3501) Prec@1 67.969 (68.611) Prec@5 84.375 (87.020) Epoch: [80][1940/10010] Time 0.316 (0.327) Data 0.001 (0.002) Loss 1.0839 (1.3502) Prec@1 71.875 (68.609) Prec@5 89.062 (87.017) Epoch: [80][1950/10010] Time 0.311 (0.327) Data 0.001 (0.002) Loss 1.2569 (1.3503) Prec@1 71.094 (68.607) Prec@5 90.625 (87.015) Epoch: [80][1960/10010] Time 0.313 (0.327) Data 0.001 (0.002) Loss 1.4376 (1.3507) Prec@1 68.750 (68.598) Prec@5 84.375 (87.009) Epoch: [80][1970/10010] Time 0.337 (0.327) Data 0.000 (0.002) Loss 1.4162 (1.3507) Prec@1 67.969 (68.600) Prec@5 85.938 (87.012) Epoch: [80][1980/10010] Time 0.337 (0.327) Data 0.001 (0.002) Loss 1.3785 (1.3506) Prec@1 72.656 (68.605) Prec@5 88.281 (87.018) Epoch: [80][1990/10010] Time 0.344 (0.327) Data 0.000 (0.002) Loss 1.2823 (1.3509) Prec@1 63.281 (68.599) Prec@5 88.281 (87.012) Epoch: [80][2000/10010] Time 0.337 (0.327) Data 0.000 (0.002) Loss 1.4165 (1.3508) Prec@1 67.188 (68.590) Prec@5 88.281 (87.017) Epoch: [80][2010/10010] Time 0.344 (0.327) Data 0.001 (0.002) Loss 1.2797 (1.3509) Prec@1 71.875 (68.593) Prec@5 85.938 (87.015) Epoch: [80][2020/10010] Time 0.321 (0.327) Data 0.001 (0.002) Loss 1.3791 (1.3510) Prec@1 67.969 (68.593) Prec@5 86.719 (87.015) Epoch: [80][2030/10010] Time 0.312 (0.327) Data 0.001 (0.002) Loss 1.3469 (1.3513) Prec@1 72.656 (68.589) Prec@5 85.938 (87.011) Epoch: [80][2040/10010] Time 0.319 (0.327) Data 0.001 (0.002) Loss 1.5632 (1.3513) Prec@1 60.938 (68.584) Prec@5 86.719 (87.013) Epoch: [80][2050/10010] Time 0.330 (0.327) Data 0.001 (0.002) Loss 1.3256 (1.3516) Prec@1 64.844 (68.569) Prec@5 85.938 (87.009) Epoch: [80][2060/10010] Time 0.333 (0.327) Data 0.000 (0.002) Loss 1.1238 (1.3514) Prec@1 71.875 (68.572) Prec@5 92.969 (87.016) Epoch: [80][2070/10010] Time 0.336 (0.327) Data 0.001 (0.002) Loss 1.6374 (1.3521) Prec@1 69.531 (68.557) Prec@5 80.469 (87.005) Epoch: [80][2080/10010] Time 0.339 (0.327) Data 0.000 (0.002) Loss 1.0582 (1.3519) Prec@1 75.000 (68.560) Prec@5 89.844 (87.010) Epoch: [80][2090/10010] Time 0.320 (0.327) Data 0.000 (0.002) Loss 1.4602 (1.3516) Prec@1 60.156 (68.567) Prec@5 84.375 (87.012) Epoch: [80][2100/10010] Time 0.321 (0.327) Data 0.000 (0.002) Loss 1.5024 (1.3518) Prec@1 67.188 (68.566) Prec@5 82.031 (87.009) Epoch: [80][2110/10010] Time 0.326 (0.327) Data 0.001 (0.002) Loss 1.3306 (1.3521) Prec@1 66.406 (68.559) Prec@5 88.281 (87.006) Epoch: [80][2120/10010] Time 0.342 (0.327) Data 0.001 (0.002) Loss 1.1971 (1.3516) Prec@1 69.531 (68.571) Prec@5 91.406 (87.016) Epoch: [80][2130/10010] Time 0.335 (0.327) Data 0.001 (0.002) Loss 1.5734 (1.3515) Prec@1 64.062 (68.577) Prec@5 85.938 (87.018) Epoch: [80][2140/10010] Time 0.311 (0.327) Data 0.001 (0.002) Loss 1.4291 (1.3512) Prec@1 63.281 (68.582) Prec@5 85.156 (87.021) Epoch: [80][2150/10010] Time 0.317 (0.327) Data 0.001 (0.002) Loss 1.1514 (1.3513) Prec@1 74.219 (68.584) Prec@5 90.625 (87.024) Epoch: [80][2160/10010] Time 0.320 (0.327) Data 0.000 (0.002) Loss 1.5044 (1.3515) Prec@1 65.625 (68.585) Prec@5 79.688 (87.018) Epoch: [80][2170/10010] Time 0.322 (0.327) Data 0.000 (0.002) Loss 1.4522 (1.3514) Prec@1 64.062 (68.581) Prec@5 86.719 (87.021) Epoch: [80][2180/10010] Time 0.334 (0.327) Data 0.001 (0.002) Loss 1.3856 (1.3518) Prec@1 70.312 (68.571) Prec@5 84.375 (87.018) Epoch: [80][2190/10010] Time 0.328 (0.327) Data 0.000 (0.002) Loss 1.4000 (1.3518) Prec@1 66.406 (68.573) Prec@5 85.156 (87.015) Epoch: [80][2200/10010] Time 0.340 (0.327) Data 0.000 (0.002) Loss 1.5346 (1.3523) Prec@1 69.531 (68.565) Prec@5 82.812 (87.008) Epoch: [80][2210/10010] Time 0.338 (0.327) Data 0.001 (0.002) Loss 1.4949 (1.3519) Prec@1 67.188 (68.570) Prec@5 84.375 (87.015) Epoch: [80][2220/10010] Time 0.318 (0.327) Data 0.001 (0.002) Loss 1.3077 (1.3516) Prec@1 67.969 (68.577) Prec@5 89.062 (87.020) Epoch: [80][2230/10010] Time 0.316 (0.327) Data 0.001 (0.002) Loss 1.6657 (1.3517) Prec@1 57.812 (68.578) Prec@5 78.125 (87.019) Epoch: [80][2240/10010] Time 0.320 (0.327) Data 0.000 (0.002) Loss 1.5880 (1.3520) Prec@1 61.719 (68.581) Prec@5 85.156 (87.018) Epoch: [80][2250/10010] Time 0.337 (0.327) Data 0.001 (0.002) Loss 1.3140 (1.3517) Prec@1 64.844 (68.577) Prec@5 90.625 (87.023) Epoch: [80][2260/10010] Time 0.331 (0.327) Data 0.000 (0.002) Loss 1.1085 (1.3515) Prec@1 70.312 (68.586) Prec@5 90.625 (87.026) Epoch: [80][2270/10010] Time 0.313 (0.327) Data 0.001 (0.002) Loss 1.2361 (1.3513) Prec@1 67.969 (68.591) Prec@5 89.844 (87.029) Epoch: [80][2280/10010] Time 0.336 (0.327) Data 0.001 (0.002) Loss 1.5901 (1.3511) Prec@1 64.844 (68.597) Prec@5 84.375 (87.032) Epoch: [80][2290/10010] Time 0.336 (0.327) Data 0.000 (0.002) Loss 1.4587 (1.3515) Prec@1 68.750 (68.590) Prec@5 83.594 (87.026) Epoch: [80][2300/10010] Time 0.327 (0.327) Data 0.000 (0.002) Loss 1.0928 (1.3510) Prec@1 71.094 (68.601) Prec@5 91.406 (87.031) Epoch: [80][2310/10010] Time 0.334 (0.327) Data 0.001 (0.002) Loss 1.3797 (1.3512) Prec@1 65.625 (68.597) Prec@5 85.938 (87.029) Epoch: [80][2320/10010] Time 0.329 (0.327) Data 0.000 (0.002) Loss 1.0597 (1.3514) Prec@1 76.562 (68.592) Prec@5 92.969 (87.027) Epoch: [80][2330/10010] Time 0.320 (0.327) Data 0.001 (0.002) Loss 1.1786 (1.3516) Prec@1 70.312 (68.585) Prec@5 89.844 (87.021) Epoch: [80][2340/10010] Time 0.332 (0.327) Data 0.001 (0.002) Loss 1.3370 (1.3518) Prec@1 64.062 (68.584) Prec@5 88.281 (87.019) Epoch: [80][2350/10010] Time 0.332 (0.327) Data 0.001 (0.002) Loss 1.3070 (1.3518) Prec@1 68.750 (68.582) Prec@5 88.281 (87.022) Epoch: [80][2360/10010] Time 0.339 (0.327) Data 0.000 (0.002) Loss 1.4305 (1.3519) Prec@1 69.531 (68.589) Prec@5 85.938 (87.022) Epoch: [80][2370/10010] Time 0.339 (0.327) Data 0.001 (0.002) Loss 1.4777 (1.3519) Prec@1 66.406 (68.589) Prec@5 84.375 (87.024) Epoch: [80][2380/10010] Time 0.333 (0.327) Data 0.001 (0.002) Loss 1.4247 (1.3519) Prec@1 70.312 (68.583) Prec@5 85.938 (87.022) Epoch: [80][2390/10010] Time 0.318 (0.327) Data 0.001 (0.002) Loss 1.2348 (1.3517) Prec@1 66.406 (68.589) Prec@5 87.500 (87.022) Epoch: [80][2400/10010] Time 0.330 (0.327) Data 0.000 (0.002) Loss 1.0325 (1.3514) Prec@1 72.656 (68.592) Prec@5 92.188 (87.025) Epoch: [80][2410/10010] Time 0.324 (0.327) Data 0.001 (0.002) Loss 1.6250 (1.3519) Prec@1 64.062 (68.578) Prec@5 82.031 (87.018) Epoch: [80][2420/10010] Time 0.321 (0.327) Data 0.001 (0.002) Loss 1.2260 (1.3522) Prec@1 70.312 (68.570) Prec@5 85.938 (87.015) Epoch: [80][2430/10010] Time 0.336 (0.327) Data 0.001 (0.002) Loss 1.3161 (1.3520) Prec@1 67.969 (68.573) Prec@5 85.156 (87.022) Epoch: [80][2440/10010] Time 0.316 (0.327) Data 0.001 (0.002) Loss 1.0103 (1.3519) Prec@1 78.906 (68.574) Prec@5 92.969 (87.021) Epoch: [80][2450/10010] Time 0.339 (0.327) Data 0.000 (0.002) Loss 1.1039 (1.3517) Prec@1 68.750 (68.581) Prec@5 89.844 (87.027) Epoch: [80][2460/10010] Time 0.319 (0.327) Data 0.000 (0.002) Loss 1.1193 (1.3515) Prec@1 69.531 (68.580) Prec@5 93.750 (87.032) Epoch: [80][2470/10010] Time 0.331 (0.327) Data 0.000 (0.002) Loss 1.0423 (1.3513) Prec@1 75.000 (68.584) Prec@5 91.406 (87.032) Epoch: [80][2480/10010] Time 0.317 (0.327) Data 0.001 (0.002) Loss 1.3729 (1.3513) Prec@1 67.188 (68.582) Prec@5 86.719 (87.035) Epoch: [80][2490/10010] Time 0.340 (0.327) Data 0.000 (0.002) Loss 1.2805 (1.3509) Prec@1 73.438 (68.590) Prec@5 89.062 (87.039) Epoch: [80][2500/10010] Time 0.320 (0.327) Data 0.001 (0.002) Loss 1.3297 (1.3510) Prec@1 68.750 (68.585) Prec@5 85.156 (87.035) Epoch: [80][2510/10010] Time 0.342 (0.327) Data 0.001 (0.002) Loss 1.5429 (1.3508) Prec@1 62.500 (68.589) Prec@5 82.812 (87.036) Epoch: [80][2520/10010] Time 0.334 (0.327) Data 0.001 (0.002) Loss 1.0535 (1.3509) Prec@1 73.438 (68.588) Prec@5 91.406 (87.036) Epoch: [80][2530/10010] Time 0.320 (0.327) Data 0.000 (0.002) Loss 1.3751 (1.3509) Prec@1 64.062 (68.584) Prec@5 85.938 (87.035) Epoch: [80][2540/10010] Time 0.324 (0.327) Data 0.001 (0.002) Loss 1.3809 (1.3511) Prec@1 71.875 (68.585) Prec@5 82.812 (87.028) Epoch: [80][2550/10010] Time 0.325 (0.327) Data 0.000 (0.002) Loss 1.3800 (1.3509) Prec@1 71.875 (68.588) Prec@5 85.156 (87.031) Epoch: [80][2560/10010] Time 0.336 (0.327) Data 0.001 (0.002) Loss 1.6062 (1.3510) Prec@1 67.969 (68.585) Prec@5 82.031 (87.031) Epoch: [80][2570/10010] Time 0.324 (0.327) Data 0.001 (0.002) Loss 1.2692 (1.3513) Prec@1 66.406 (68.578) Prec@5 88.281 (87.026) Epoch: [80][2580/10010] Time 0.317 (0.327) Data 0.001 (0.002) Loss 1.3964 (1.3510) Prec@1 69.531 (68.590) Prec@5 86.719 (87.032) Epoch: [80][2590/10010] Time 0.314 (0.327) Data 0.001 (0.002) Loss 1.1580 (1.3507) Prec@1 75.000 (68.600) Prec@5 89.844 (87.039) Epoch: [80][2600/10010] Time 0.343 (0.327) Data 0.001 (0.002) Loss 1.3193 (1.3506) Prec@1 67.969 (68.599) Prec@5 89.062 (87.043) Epoch: [80][2610/10010] Time 0.323 (0.327) Data 0.001 (0.002) Loss 1.4381 (1.3506) Prec@1 66.406 (68.592) Prec@5 82.031 (87.042) Epoch: [80][2620/10010] Time 0.330 (0.327) Data 0.000 (0.002) Loss 1.3246 (1.3505) Prec@1 68.750 (68.594) Prec@5 85.938 (87.042) Epoch: [80][2630/10010] Time 0.316 (0.327) Data 0.000 (0.002) Loss 1.5911 (1.3504) Prec@1 65.625 (68.596) Prec@5 82.812 (87.041) Epoch: [80][2640/10010] Time 0.335 (0.327) Data 0.001 (0.002) Loss 1.1462 (1.3499) Prec@1 71.094 (68.612) Prec@5 89.844 (87.047) Epoch: [80][2650/10010] Time 0.319 (0.327) Data 0.000 (0.002) Loss 1.4886 (1.3502) Prec@1 64.062 (68.605) Prec@5 84.375 (87.041) Epoch: [80][2660/10010] Time 0.329 (0.327) Data 0.001 (0.002) Loss 1.2360 (1.3503) Prec@1 71.875 (68.603) Prec@5 89.844 (87.039) Epoch: [80][2670/10010] Time 0.332 (0.327) Data 0.001 (0.002) Loss 1.3551 (1.3502) Prec@1 66.406 (68.606) Prec@5 85.938 (87.040) Epoch: [80][2680/10010] Time 0.339 (0.327) Data 0.000 (0.002) Loss 1.1172 (1.3503) Prec@1 73.438 (68.600) Prec@5 90.625 (87.040) Epoch: [80][2690/10010] Time 0.319 (0.327) Data 0.001 (0.002) Loss 1.3533 (1.3505) Prec@1 70.312 (68.602) Prec@5 84.375 (87.038) Epoch: [80][2700/10010] Time 0.313 (0.327) Data 0.001 (0.002) Loss 1.4099 (1.3502) Prec@1 64.844 (68.609) Prec@5 84.375 (87.043) Epoch: [80][2710/10010] Time 0.329 (0.327) Data 0.001 (0.002) Loss 1.3902 (1.3503) Prec@1 68.750 (68.605) Prec@5 86.719 (87.041) Epoch: [80][2720/10010] Time 0.329 (0.327) Data 0.001 (0.002) Loss 1.2242 (1.3503) Prec@1 74.219 (68.603) Prec@5 87.500 (87.043) Epoch: [80][2730/10010] Time 0.326 (0.327) Data 0.000 (0.002) Loss 1.3724 (1.3504) Prec@1 73.438 (68.605) Prec@5 85.156 (87.041) Epoch: [80][2740/10010] Time 0.340 (0.327) Data 0.001 (0.002) Loss 1.2805 (1.3504) Prec@1 72.656 (68.606) Prec@5 88.281 (87.043) Epoch: [80][2750/10010] Time 0.323 (0.327) Data 0.001 (0.002) Loss 1.3244 (1.3504) Prec@1 68.750 (68.604) Prec@5 85.938 (87.044) Epoch: [80][2760/10010] Time 0.335 (0.327) Data 0.001 (0.002) Loss 1.5436 (1.3504) Prec@1 64.844 (68.601) Prec@5 85.938 (87.045) Epoch: [80][2770/10010] Time 0.317 (0.327) Data 0.001 (0.002) Loss 1.1170 (1.3504) Prec@1 73.438 (68.603) Prec@5 89.844 (87.045) Epoch: [80][2780/10010] Time 0.333 (0.327) Data 0.001 (0.002) Loss 1.4917 (1.3506) Prec@1 66.406 (68.603) Prec@5 85.156 (87.042) Epoch: [80][2790/10010] Time 0.338 (0.327) Data 0.000 (0.001) Loss 1.7893 (1.3506) Prec@1 62.500 (68.602) Prec@5 82.812 (87.042) Epoch: [80][2800/10010] Time 0.314 (0.327) Data 0.001 (0.001) Loss 1.1947 (1.3503) Prec@1 71.875 (68.607) Prec@5 88.281 (87.046) Epoch: [80][2810/10010] Time 0.326 (0.327) Data 0.001 (0.001) Loss 1.2989 (1.3505) Prec@1 70.312 (68.602) Prec@5 85.938 (87.047) Epoch: [80][2820/10010] Time 0.335 (0.327) Data 0.000 (0.001) Loss 1.3326 (1.3503) Prec@1 71.094 (68.605) Prec@5 87.500 (87.054) Epoch: [80][2830/10010] Time 0.325 (0.327) Data 0.000 (0.001) Loss 1.2003 (1.3504) Prec@1 73.438 (68.608) Prec@5 86.719 (87.053) Epoch: [80][2840/10010] Time 0.317 (0.327) Data 0.001 (0.001) Loss 1.5308 (1.3504) Prec@1 62.500 (68.602) Prec@5 84.375 (87.051) Epoch: [80][2850/10010] Time 0.335 (0.327) Data 0.001 (0.001) Loss 1.4171 (1.3506) Prec@1 66.406 (68.594) Prec@5 86.719 (87.049) Epoch: [80][2860/10010] Time 0.345 (0.327) Data 0.001 (0.001) Loss 1.2226 (1.3507) Prec@1 70.312 (68.587) Prec@5 89.062 (87.048) Epoch: [80][2870/10010] Time 0.329 (0.327) Data 0.001 (0.001) Loss 1.6476 (1.3507) Prec@1 64.062 (68.588) Prec@5 80.469 (87.049) Epoch: [80][2880/10010] Time 0.324 (0.327) Data 0.001 (0.001) Loss 1.2443 (1.3508) Prec@1 71.094 (68.585) Prec@5 85.938 (87.048) Epoch: [80][2890/10010] Time 0.315 (0.327) Data 0.001 (0.001) Loss 1.2722 (1.3507) Prec@1 71.875 (68.588) Prec@5 86.719 (87.046) Epoch: [80][2900/10010] Time 0.338 (0.327) Data 0.001 (0.001) Loss 1.5088 (1.3508) Prec@1 63.281 (68.586) Prec@5 81.250 (87.046) Epoch: [80][2910/10010] Time 0.345 (0.327) Data 0.000 (0.001) Loss 1.2136 (1.3508) Prec@1 72.656 (68.588) Prec@5 86.719 (87.043) Epoch: [80][2920/10010] Time 0.319 (0.327) Data 0.000 (0.001) Loss 1.5787 (1.3508) Prec@1 64.062 (68.590) Prec@5 83.594 (87.045) Epoch: [80][2930/10010] Time 0.339 (0.327) Data 0.000 (0.001) Loss 1.3538 (1.3505) Prec@1 71.094 (68.597) Prec@5 88.281 (87.051) Epoch: [80][2940/10010] Time 0.320 (0.327) Data 0.000 (0.001) Loss 1.0287 (1.3503) Prec@1 72.656 (68.598) Prec@5 91.406 (87.053) Epoch: [80][2950/10010] Time 0.321 (0.327) Data 0.000 (0.001) Loss 1.0780 (1.3502) Prec@1 71.094 (68.600) Prec@5 93.750 (87.054) Epoch: [80][2960/10010] Time 0.322 (0.327) Data 0.001 (0.001) Loss 1.3791 (1.3502) Prec@1 65.625 (68.596) Prec@5 86.719 (87.054) Epoch: [80][2970/10010] Time 0.311 (0.327) Data 0.001 (0.001) Loss 1.0453 (1.3501) Prec@1 75.000 (68.602) Prec@5 92.188 (87.052) Epoch: [80][2980/10010] Time 0.323 (0.327) Data 0.001 (0.001) Loss 1.2411 (1.3499) Prec@1 68.750 (68.602) Prec@5 89.062 (87.055) Epoch: [80][2990/10010] Time 0.318 (0.327) Data 0.000 (0.001) Loss 1.3264 (1.3497) Prec@1 65.625 (68.602) Prec@5 85.938 (87.059) Epoch: [80][3000/10010] Time 0.329 (0.327) Data 0.000 (0.001) Loss 1.3866 (1.3497) Prec@1 67.188 (68.602) Prec@5 82.031 (87.056) Epoch: [80][3010/10010] Time 0.324 (0.327) Data 0.001 (0.001) Loss 1.1439 (1.3493) Prec@1 71.875 (68.612) Prec@5 88.281 (87.062) Epoch: [80][3020/10010] Time 0.338 (0.327) Data 0.000 (0.001) Loss 1.3445 (1.3491) Prec@1 71.875 (68.617) Prec@5 89.844 (87.065) Epoch: [80][3030/10010] Time 0.319 (0.327) Data 0.001 (0.001) Loss 1.4762 (1.3487) Prec@1 67.969 (68.624) Prec@5 85.156 (87.071) Epoch: [80][3040/10010] Time 0.337 (0.327) Data 0.001 (0.001) Loss 1.6007 (1.3487) Prec@1 69.531 (68.630) Prec@5 80.469 (87.071) Epoch: [80][3050/10010] Time 0.342 (0.327) Data 0.000 (0.001) Loss 1.0763 (1.3487) Prec@1 71.875 (68.630) Prec@5 93.750 (87.074) Epoch: [80][3060/10010] Time 0.334 (0.327) Data 0.001 (0.001) Loss 1.1490 (1.3486) Prec@1 73.438 (68.628) Prec@5 85.938 (87.072) Epoch: [80][3070/10010] Time 0.338 (0.327) Data 0.000 (0.001) Loss 1.2938 (1.3487) Prec@1 68.750 (68.621) Prec@5 90.625 (87.069) Epoch: [80][3080/10010] Time 0.323 (0.327) Data 0.000 (0.001) Loss 1.3813 (1.3490) Prec@1 68.750 (68.617) Prec@5 84.375 (87.061) Epoch: [80][3090/10010] Time 0.322 (0.327) Data 0.000 (0.001) Loss 1.1318 (1.3489) Prec@1 72.656 (68.619) Prec@5 88.281 (87.063) Epoch: [80][3100/10010] Time 0.332 (0.327) Data 0.000 (0.001) Loss 1.4701 (1.3491) Prec@1 66.406 (68.621) Prec@5 81.250 (87.059) Epoch: [80][3110/10010] Time 0.321 (0.327) Data 0.001 (0.001) Loss 1.3058 (1.3489) Prec@1 69.531 (68.624) Prec@5 82.812 (87.061) Epoch: [80][3120/10010] Time 0.315 (0.327) Data 0.001 (0.001) Loss 1.5521 (1.3490) Prec@1 66.406 (68.622) Prec@5 85.156 (87.060) Epoch: [80][3130/10010] Time 0.325 (0.327) Data 0.000 (0.001) Loss 1.3945 (1.3493) Prec@1 67.188 (68.615) Prec@5 87.500 (87.053) Epoch: [80][3140/10010] Time 0.315 (0.327) Data 0.001 (0.001) Loss 1.3413 (1.3497) Prec@1 68.750 (68.606) Prec@5 88.281 (87.046) Epoch: [80][3150/10010] Time 0.320 (0.327) Data 0.000 (0.001) Loss 1.2419 (1.3495) Prec@1 74.219 (68.610) Prec@5 88.281 (87.046) Epoch: [80][3160/10010] Time 0.338 (0.327) Data 0.001 (0.001) Loss 1.5370 (1.3495) Prec@1 67.188 (68.610) Prec@5 82.031 (87.047) Epoch: [80][3170/10010] Time 0.317 (0.327) Data 0.000 (0.001) Loss 1.1690 (1.3495) Prec@1 72.656 (68.608) Prec@5 92.188 (87.050) Epoch: [80][3180/10010] Time 0.339 (0.327) Data 0.001 (0.001) Loss 1.3832 (1.3494) Prec@1 69.531 (68.610) Prec@5 85.156 (87.048) Epoch: [80][3190/10010] Time 0.337 (0.327) Data 0.001 (0.001) Loss 1.4916 (1.3494) Prec@1 67.969 (68.608) Prec@5 89.062 (87.050) Epoch: [80][3200/10010] Time 0.336 (0.327) Data 0.000 (0.001) Loss 1.3124 (1.3495) Prec@1 67.188 (68.606) Prec@5 87.500 (87.046) Epoch: [80][3210/10010] Time 0.319 (0.327) Data 0.000 (0.001) Loss 1.6931 (1.3499) Prec@1 64.062 (68.603) Prec@5 82.812 (87.042) Epoch: [80][3220/10010] Time 0.334 (0.327) Data 0.001 (0.001) Loss 1.3770 (1.3500) Prec@1 71.094 (68.601) Prec@5 86.719 (87.040) Epoch: [80][3230/10010] Time 0.331 (0.327) Data 0.001 (0.001) Loss 1.7119 (1.3504) Prec@1 62.500 (68.595) Prec@5 80.469 (87.034) Epoch: [80][3240/10010] Time 0.333 (0.327) Data 0.001 (0.001) Loss 1.4152 (1.3506) Prec@1 64.844 (68.596) Prec@5 82.812 (87.031) Epoch: [80][3250/10010] Time 0.336 (0.327) Data 0.000 (0.001) Loss 1.2621 (1.3506) Prec@1 68.750 (68.596) Prec@5 88.281 (87.031) Epoch: [80][3260/10010] Time 0.337 (0.327) Data 0.001 (0.001) Loss 1.2479 (1.3507) Prec@1 67.969 (68.593) Prec@5 89.844 (87.031) Epoch: [80][3270/10010] Time 0.333 (0.327) Data 0.001 (0.001) Loss 1.2043 (1.3507) Prec@1 75.781 (68.593) Prec@5 86.719 (87.030) Epoch: [80][3280/10010] Time 0.339 (0.327) Data 0.000 (0.001) Loss 1.4753 (1.3507) Prec@1 63.281 (68.592) Prec@5 86.719 (87.030) Epoch: [80][3290/10010] Time 0.322 (0.327) Data 0.001 (0.001) Loss 1.6743 (1.3509) Prec@1 60.938 (68.587) Prec@5 83.594 (87.029) Epoch: [80][3300/10010] Time 0.327 (0.327) Data 0.001 (0.001) Loss 1.5352 (1.3509) Prec@1 66.406 (68.590) Prec@5 83.594 (87.027) Epoch: [80][3310/10010] Time 0.316 (0.327) Data 0.001 (0.001) Loss 1.7134 (1.3513) Prec@1 61.719 (68.585) Prec@5 81.250 (87.019) Epoch: [80][3320/10010] Time 0.319 (0.327) Data 0.000 (0.001) Loss 1.3783 (1.3514) Prec@1 69.531 (68.586) Prec@5 85.156 (87.016) Epoch: [80][3330/10010] Time 0.334 (0.327) Data 0.001 (0.001) Loss 1.5376 (1.3515) Prec@1 68.750 (68.582) Prec@5 84.375 (87.014) Epoch: [80][3340/10010] Time 0.317 (0.327) Data 0.001 (0.001) Loss 1.3042 (1.3513) Prec@1 71.875 (68.584) Prec@5 88.281 (87.016) Epoch: [80][3350/10010] Time 0.338 (0.327) Data 0.001 (0.001) Loss 1.3324 (1.3513) Prec@1 67.188 (68.583) Prec@5 85.938 (87.016) Epoch: [80][3360/10010] Time 0.311 (0.327) Data 0.001 (0.001) Loss 1.4611 (1.3517) Prec@1 62.500 (68.574) Prec@5 87.500 (87.009) Epoch: [80][3370/10010] Time 0.340 (0.327) Data 0.001 (0.001) Loss 1.4654 (1.3517) Prec@1 60.938 (68.574) Prec@5 86.719 (87.007) Epoch: [80][3380/10010] Time 0.339 (0.327) Data 0.001 (0.001) Loss 0.9493 (1.3514) Prec@1 78.125 (68.581) Prec@5 91.406 (87.013) Epoch: [80][3390/10010] Time 0.320 (0.327) Data 0.001 (0.001) Loss 1.4327 (1.3514) Prec@1 65.625 (68.580) Prec@5 88.281 (87.015) Epoch: [80][3400/10010] Time 0.321 (0.327) Data 0.000 (0.001) Loss 1.4396 (1.3514) Prec@1 65.625 (68.577) Prec@5 83.594 (87.014) Epoch: [80][3410/10010] Time 0.321 (0.327) Data 0.001 (0.001) Loss 1.4972 (1.3517) Prec@1 67.188 (68.575) Prec@5 86.719 (87.009) Epoch: [80][3420/10010] Time 0.337 (0.327) Data 0.001 (0.001) Loss 1.7595 (1.3518) Prec@1 61.719 (68.572) Prec@5 79.688 (87.009) Epoch: [80][3430/10010] Time 0.316 (0.327) Data 0.000 (0.001) Loss 1.3742 (1.3520) Prec@1 72.656 (68.571) Prec@5 85.938 (87.005) Epoch: [80][3440/10010] Time 0.327 (0.327) Data 0.000 (0.001) Loss 1.2030 (1.3518) Prec@1 75.000 (68.574) Prec@5 89.844 (87.004) Epoch: [80][3450/10010] Time 0.341 (0.327) Data 0.000 (0.001) Loss 1.5012 (1.3520) Prec@1 71.875 (68.570) Prec@5 85.156 (87.002) Epoch: [80][3460/10010] Time 0.318 (0.327) Data 0.001 (0.001) Loss 1.3902 (1.3518) Prec@1 66.406 (68.577) Prec@5 91.406 (87.005) Epoch: [80][3470/10010] Time 0.322 (0.327) Data 0.001 (0.001) Loss 1.2400 (1.3518) Prec@1 69.531 (68.580) Prec@5 89.062 (87.005) Epoch: [80][3480/10010] Time 0.323 (0.327) Data 0.001 (0.001) Loss 1.4898 (1.3518) Prec@1 67.188 (68.581) Prec@5 83.594 (87.004) Epoch: [80][3490/10010] Time 0.336 (0.327) Data 0.001 (0.001) Loss 1.1640 (1.3517) Prec@1 72.656 (68.584) Prec@5 92.969 (87.006) Epoch: [80][3500/10010] Time 0.320 (0.327) Data 0.001 (0.001) Loss 1.1862 (1.3518) Prec@1 67.969 (68.580) Prec@5 89.062 (87.006) Epoch: [80][3510/10010] Time 0.338 (0.327) Data 0.001 (0.001) Loss 1.3452 (1.3519) Prec@1 70.312 (68.583) Prec@5 87.500 (87.004) Epoch: [80][3520/10010] Time 0.323 (0.327) Data 0.000 (0.001) Loss 1.3490 (1.3518) Prec@1 71.875 (68.585) Prec@5 83.594 (87.004) Epoch: [80][3530/10010] Time 0.337 (0.327) Data 0.001 (0.001) Loss 1.6708 (1.3518) Prec@1 65.625 (68.587) Prec@5 82.031 (87.004) Epoch: [80][3540/10010] Time 0.338 (0.327) Data 0.001 (0.001) Loss 1.3681 (1.3521) Prec@1 67.969 (68.581) Prec@5 86.719 (86.997) Epoch: [80][3550/10010] Time 0.336 (0.327) Data 0.001 (0.001) Loss 1.2061 (1.3522) Prec@1 75.781 (68.582) Prec@5 90.625 (86.995) Epoch: [80][3560/10010] Time 0.311 (0.327) Data 0.001 (0.001) Loss 1.1394 (1.3521) Prec@1 75.000 (68.585) Prec@5 91.406 (86.997) Epoch: [80][3570/10010] Time 0.342 (0.327) Data 0.001 (0.001) Loss 1.2167 (1.3522) Prec@1 75.000 (68.584) Prec@5 89.062 (86.997) Epoch: [80][3580/10010] Time 0.329 (0.327) Data 0.000 (0.001) Loss 1.3084 (1.3520) Prec@1 70.312 (68.588) Prec@5 91.406 (87.001) Epoch: [80][3590/10010] Time 0.319 (0.327) Data 0.001 (0.001) Loss 1.3496 (1.3518) Prec@1 69.531 (68.590) Prec@5 86.719 (87.004) Epoch: [80][3600/10010] Time 0.323 (0.327) Data 0.000 (0.001) Loss 1.3722 (1.3514) Prec@1 65.625 (68.597) Prec@5 85.938 (87.010) Epoch: [80][3610/10010] Time 0.319 (0.327) Data 0.001 (0.001) Loss 1.3720 (1.3515) Prec@1 64.062 (68.590) Prec@5 89.844 (87.012) Epoch: [80][3620/10010] Time 0.314 (0.327) Data 0.001 (0.001) Loss 1.4596 (1.3515) Prec@1 67.188 (68.593) Prec@5 85.156 (87.012) Epoch: [80][3630/10010] Time 0.334 (0.327) Data 0.000 (0.001) Loss 1.4835 (1.3513) Prec@1 67.188 (68.597) Prec@5 87.500 (87.016) Epoch: [80][3640/10010] Time 0.335 (0.327) Data 0.001 (0.001) Loss 1.1335 (1.3512) Prec@1 71.875 (68.601) Prec@5 88.281 (87.016) Epoch: [80][3650/10010] Time 0.335 (0.327) Data 0.001 (0.001) Loss 1.4170 (1.3512) Prec@1 72.656 (68.600) Prec@5 86.719 (87.017) Epoch: [80][3660/10010] Time 0.332 (0.327) Data 0.001 (0.001) Loss 1.2400 (1.3512) Prec@1 68.750 (68.599) Prec@5 88.281 (87.017) Epoch: [80][3670/10010] Time 0.338 (0.327) Data 0.001 (0.001) Loss 1.3872 (1.3514) Prec@1 67.188 (68.598) Prec@5 82.812 (87.015) Epoch: [80][3680/10010] Time 0.338 (0.327) Data 0.000 (0.001) Loss 1.2207 (1.3514) Prec@1 71.875 (68.598) Prec@5 87.500 (87.014) Epoch: [80][3690/10010] Time 0.339 (0.327) Data 0.001 (0.001) Loss 1.2898 (1.3515) Prec@1 70.312 (68.594) Prec@5 85.938 (87.011) Epoch: [80][3700/10010] Time 0.327 (0.327) Data 0.001 (0.001) Loss 0.9789 (1.3515) Prec@1 75.000 (68.594) Prec@5 92.188 (87.012) Epoch: [80][3710/10010] Time 0.338 (0.327) Data 0.001 (0.001) Loss 1.2898 (1.3515) Prec@1 71.094 (68.595) Prec@5 89.062 (87.011) Epoch: [80][3720/10010] Time 0.321 (0.327) Data 0.000 (0.001) Loss 1.3652 (1.3516) Prec@1 67.188 (68.593) Prec@5 87.500 (87.011) Epoch: [80][3730/10010] Time 0.316 (0.327) Data 0.000 (0.001) Loss 1.5345 (1.3517) Prec@1 61.719 (68.587) Prec@5 85.938 (87.009) Epoch: [80][3740/10010] Time 0.327 (0.327) Data 0.000 (0.001) Loss 1.1395 (1.3518) Prec@1 75.781 (68.585) Prec@5 91.406 (87.005) Epoch: [80][3750/10010] Time 0.338 (0.327) Data 0.000 (0.001) Loss 1.5484 (1.3518) Prec@1 71.094 (68.584) Prec@5 81.250 (87.005) Epoch: [80][3760/10010] Time 0.335 (0.327) Data 0.001 (0.001) Loss 1.4065 (1.3517) Prec@1 66.406 (68.583) Prec@5 83.594 (87.008) Epoch: [80][3770/10010] Time 0.328 (0.327) Data 0.000 (0.001) Loss 1.4743 (1.3517) Prec@1 67.188 (68.581) Prec@5 85.156 (87.006) Epoch: [80][3780/10010] Time 0.320 (0.327) Data 0.001 (0.001) Loss 1.5569 (1.3520) Prec@1 67.969 (68.572) Prec@5 85.938 (87.001) Epoch: [80][3790/10010] Time 0.338 (0.327) Data 0.000 (0.001) Loss 1.6301 (1.3523) Prec@1 61.719 (68.571) Prec@5 82.812 (86.995) Epoch: [80][3800/10010] Time 0.338 (0.327) Data 0.000 (0.001) Loss 1.4347 (1.3522) Prec@1 67.969 (68.573) Prec@5 84.375 (86.998) Epoch: [80][3810/10010] Time 0.341 (0.327) Data 0.000 (0.001) Loss 1.5180 (1.3522) Prec@1 67.969 (68.575) Prec@5 82.812 (86.996) Epoch: [80][3820/10010] Time 0.317 (0.327) Data 0.001 (0.001) Loss 1.4279 (1.3523) Prec@1 67.188 (68.570) Prec@5 87.500 (86.995) Epoch: [80][3830/10010] Time 0.316 (0.327) Data 0.000 (0.001) Loss 1.3975 (1.3522) Prec@1 71.094 (68.572) Prec@5 89.844 (86.999) Epoch: [80][3840/10010] Time 0.328 (0.327) Data 0.000 (0.001) Loss 1.2613 (1.3522) Prec@1 70.312 (68.573) Prec@5 86.719 (87.001) Epoch: [80][3850/10010] Time 0.338 (0.327) Data 0.001 (0.001) Loss 1.4205 (1.3521) Prec@1 65.625 (68.575) Prec@5 85.156 (87.001) Epoch: [80][3860/10010] Time 0.335 (0.327) Data 0.000 (0.001) Loss 1.4340 (1.3520) Prec@1 64.844 (68.573) Prec@5 86.719 (87.002) Epoch: [80][3870/10010] Time 0.313 (0.327) Data 0.001 (0.001) Loss 1.3268 (1.3520) Prec@1 71.875 (68.572) Prec@5 87.500 (87.003) Epoch: [80][3880/10010] Time 0.324 (0.327) Data 0.000 (0.001) Loss 1.3020 (1.3520) Prec@1 67.969 (68.573) Prec@5 87.500 (87.002) Epoch: [80][3890/10010] Time 0.335 (0.327) Data 0.001 (0.001) Loss 1.2454 (1.3519) Prec@1 64.844 (68.574) Prec@5 85.938 (87.000) Epoch: [80][3900/10010] Time 0.334 (0.327) Data 0.000 (0.001) Loss 1.3876 (1.3518) Prec@1 66.406 (68.573) Prec@5 89.844 (87.002) Epoch: [80][3910/10010] Time 0.334 (0.327) Data 0.000 (0.001) Loss 1.2282 (1.3521) Prec@1 71.094 (68.567) Prec@5 89.062 (86.997) Epoch: [80][3920/10010] Time 0.314 (0.327) Data 0.001 (0.001) Loss 1.3874 (1.3522) Prec@1 63.281 (68.566) Prec@5 85.938 (86.998) Epoch: [80][3930/10010] Time 0.336 (0.327) Data 0.000 (0.001) Loss 1.4545 (1.3524) Prec@1 65.625 (68.560) Prec@5 82.812 (86.995) Epoch: [80][3940/10010] Time 0.321 (0.327) Data 0.001 (0.001) Loss 1.3037 (1.3524) Prec@1 71.875 (68.557) Prec@5 85.938 (86.996) Epoch: [80][3950/10010] Time 0.338 (0.327) Data 0.001 (0.001) Loss 1.5637 (1.3523) Prec@1 63.281 (68.562) Prec@5 82.031 (86.999) Epoch: [80][3960/10010] Time 0.319 (0.327) Data 0.000 (0.001) Loss 1.7405 (1.3523) Prec@1 63.281 (68.559) Prec@5 80.469 (86.999) Epoch: [80][3970/10010] Time 0.326 (0.327) Data 0.000 (0.001) Loss 1.4330 (1.3525) Prec@1 63.281 (68.557) Prec@5 85.156 (86.994) Epoch: [80][3980/10010] Time 0.326 (0.327) Data 0.000 (0.001) Loss 1.2112 (1.3523) Prec@1 72.656 (68.560) Prec@5 89.062 (86.994) Epoch: [80][3990/10010] Time 0.325 (0.327) Data 0.001 (0.001) Loss 1.6268 (1.3524) Prec@1 68.750 (68.557) Prec@5 82.031 (86.991) Epoch: [80][4000/10010] Time 0.321 (0.327) Data 0.001 (0.001) Loss 1.1356 (1.3522) Prec@1 77.344 (68.562) Prec@5 91.406 (86.996) Epoch: [80][4010/10010] Time 0.318 (0.327) Data 0.001 (0.001) Loss 1.3581 (1.3523) Prec@1 69.531 (68.560) Prec@5 85.156 (86.990) Epoch: [80][4020/10010] Time 0.336 (0.327) Data 0.001 (0.001) Loss 1.0237 (1.3521) Prec@1 78.125 (68.565) Prec@5 92.969 (86.992) Epoch: [80][4030/10010] Time 0.323 (0.327) Data 0.000 (0.001) Loss 1.3969 (1.3520) Prec@1 70.312 (68.565) Prec@5 88.281 (86.995) Epoch: [80][4040/10010] Time 0.334 (0.327) Data 0.001 (0.001) Loss 1.1961 (1.3518) Prec@1 68.750 (68.570) Prec@5 90.625 (86.998) Epoch: [80][4050/10010] Time 0.311 (0.327) Data 0.001 (0.001) Loss 1.6625 (1.3520) Prec@1 62.500 (68.567) Prec@5 83.594 (86.995) Epoch: [80][4060/10010] Time 0.327 (0.327) Data 0.001 (0.001) Loss 1.3265 (1.3520) Prec@1 68.750 (68.565) Prec@5 88.281 (86.997) Epoch: [80][4070/10010] Time 0.334 (0.327) Data 0.001 (0.001) Loss 1.0657 (1.3519) Prec@1 74.219 (68.565) Prec@5 90.625 (87.000) Epoch: [80][4080/10010] Time 0.338 (0.327) Data 0.000 (0.001) Loss 1.4292 (1.3518) Prec@1 67.188 (68.565) Prec@5 85.938 (86.998) Epoch: [80][4090/10010] Time 0.337 (0.327) Data 0.000 (0.001) Loss 1.6552 (1.3518) Prec@1 60.156 (68.564) Prec@5 83.594 (86.999) Epoch: [80][4100/10010] Time 0.319 (0.327) Data 0.001 (0.001) Loss 1.1372 (1.3518) Prec@1 72.656 (68.564) Prec@5 89.844 (86.998) Epoch: [80][4110/10010] Time 0.321 (0.327) Data 0.001 (0.001) Loss 1.3029 (1.3516) Prec@1 71.094 (68.568) Prec@5 85.938 (87.000) Epoch: [80][4120/10010] Time 0.335 (0.327) Data 0.001 (0.001) Loss 1.0869 (1.3515) Prec@1 71.094 (68.572) Prec@5 89.844 (86.997) Epoch: [80][4130/10010] Time 0.337 (0.327) Data 0.000 (0.001) Loss 1.4087 (1.3514) Prec@1 64.844 (68.572) Prec@5 88.281 (87.000) Epoch: [80][4140/10010] Time 0.335 (0.327) Data 0.000 (0.001) Loss 1.3085 (1.3514) Prec@1 76.562 (68.574) Prec@5 85.156 (87.000) Epoch: [80][4150/10010] Time 0.325 (0.327) Data 0.001 (0.001) Loss 1.2485 (1.3514) Prec@1 72.656 (68.574) Prec@5 90.625 (87.001) Epoch: [80][4160/10010] Time 0.343 (0.327) Data 0.001 (0.001) Loss 1.2935 (1.3514) Prec@1 67.969 (68.571) Prec@5 89.844 (87.001) Epoch: [80][4170/10010] Time 0.318 (0.327) Data 0.001 (0.001) Loss 1.2122 (1.3516) Prec@1 69.531 (68.568) Prec@5 87.500 (86.999) Epoch: [80][4180/10010] Time 0.323 (0.327) Data 0.001 (0.001) Loss 0.8733 (1.3513) Prec@1 79.688 (68.574) Prec@5 92.969 (87.002) Epoch: [80][4190/10010] Time 0.322 (0.327) Data 0.000 (0.001) Loss 1.5335 (1.3513) Prec@1 64.062 (68.571) Prec@5 82.031 (87.001) Epoch: [80][4200/10010] Time 0.319 (0.327) Data 0.001 (0.001) Loss 1.2978 (1.3515) Prec@1 71.875 (68.570) Prec@5 84.375 (86.998) Epoch: [80][4210/10010] Time 0.321 (0.327) Data 0.001 (0.001) Loss 1.1615 (1.3514) Prec@1 73.438 (68.566) Prec@5 86.719 (86.998) Epoch: [80][4220/10010] Time 0.317 (0.327) Data 0.001 (0.001) Loss 1.1740 (1.3517) Prec@1 71.094 (68.560) Prec@5 90.625 (86.997) Epoch: [80][4230/10010] Time 0.323 (0.327) Data 0.001 (0.001) Loss 1.3121 (1.3519) Prec@1 71.875 (68.553) Prec@5 88.281 (86.996) Epoch: [80][4240/10010] Time 0.327 (0.327) Data 0.001 (0.001) Loss 1.3329 (1.3520) Prec@1 68.750 (68.552) Prec@5 87.500 (86.997) Epoch: [80][4250/10010] Time 0.321 (0.327) Data 0.001 (0.001) Loss 1.1760 (1.3520) Prec@1 71.875 (68.551) Prec@5 88.281 (86.996) Epoch: [80][4260/10010] Time 0.329 (0.327) Data 0.000 (0.001) Loss 1.4108 (1.3521) Prec@1 64.062 (68.546) Prec@5 85.156 (86.994) Epoch: [80][4270/10010] Time 0.322 (0.327) Data 0.001 (0.001) Loss 1.3500 (1.3524) Prec@1 69.531 (68.541) Prec@5 85.938 (86.991) Epoch: [80][4280/10010] Time 0.333 (0.327) Data 0.001 (0.001) Loss 1.0721 (1.3523) Prec@1 66.406 (68.541) Prec@5 91.406 (86.994) Epoch: [80][4290/10010] Time 0.337 (0.327) Data 0.001 (0.001) Loss 1.2020 (1.3523) Prec@1 73.438 (68.541) Prec@5 92.969 (86.995) Epoch: [80][4300/10010] Time 0.326 (0.327) Data 0.000 (0.001) Loss 1.3607 (1.3524) Prec@1 66.406 (68.539) Prec@5 88.281 (86.997) Epoch: [80][4310/10010] Time 0.336 (0.327) Data 0.001 (0.001) Loss 1.8985 (1.3527) Prec@1 61.719 (68.531) Prec@5 81.250 (86.993) /data/vision/torralba/deepscene/lib/anaconda2/lib/python2.7/site-packages/PIL/TiffImagePlugin.py:692: UserWarning: Possibly corrupt EXIF data. Expecting to read 2555904 bytes but only got 0. Skipping tag 0 "Skipping tag %s" % (size, len(data), tag)) Epoch: [80][4320/10010] Time 0.328 (0.327) Data 0.000 (0.001) Loss 1.7997 (1.3528) Prec@1 62.500 (68.528) Prec@5 80.469 (86.991) Epoch: [80][4330/10010] Time 0.324 (0.327) Data 0.001 (0.001) Loss 1.5528 (1.3530) Prec@1 61.719 (68.528) Prec@5 80.469 (86.988) Epoch: [80][4340/10010] Time 0.334 (0.327) Data 0.001 (0.001) Loss 1.1915 (1.3531) Prec@1 67.188 (68.526) Prec@5 90.625 (86.985) Epoch: [80][4350/10010] Time 0.317 (0.327) Data 0.000 (0.001) Loss 1.0713 (1.3529) Prec@1 75.000 (68.530) Prec@5 88.281 (86.985) Epoch: [80][4360/10010] Time 0.330 (0.327) Data 0.001 (0.001) Loss 1.4647 (1.3529) Prec@1 64.062 (68.529) Prec@5 89.062 (86.987) Epoch: [80][4370/10010] Time 0.337 (0.327) Data 0.001 (0.001) Loss 1.6018 (1.3531) Prec@1 64.062 (68.526) Prec@5 82.812 (86.984) Epoch: [80][4380/10010] Time 0.318 (0.327) Data 0.000 (0.001) Loss 1.5613 (1.3531) Prec@1 63.281 (68.525) Prec@5 82.812 (86.984) Epoch: [80][4390/10010] Time 0.316 (0.327) Data 0.001 (0.001) Loss 1.4355 (1.3532) Prec@1 67.188 (68.525) Prec@5 84.375 (86.983) Epoch: [80][4400/10010] Time 0.326 (0.327) Data 0.001 (0.001) Loss 1.3096 (1.3532) Prec@1 68.750 (68.523) Prec@5 85.156 (86.983) Epoch: [80][4410/10010] Time 0.332 (0.327) Data 0.000 (0.001) Loss 1.1087 (1.3532) Prec@1 67.969 (68.523) Prec@5 92.188 (86.984) Epoch: [80][4420/10010] Time 0.326 (0.327) Data 0.001 (0.001) Loss 1.3551 (1.3531) Prec@1 67.188 (68.523) Prec@5 88.281 (86.984) Epoch: [80][4430/10010] Time 0.320 (0.327) Data 0.000 (0.001) Loss 1.2408 (1.3531) Prec@1 71.875 (68.524) Prec@5 86.719 (86.982) Epoch: [80][4440/10010] Time 0.323 (0.327) Data 0.000 (0.001) Loss 1.1729 (1.3532) Prec@1 74.219 (68.524) Prec@5 89.844 (86.980) Epoch: [80][4450/10010] Time 0.320 (0.327) Data 0.001 (0.001) Loss 1.4422 (1.3529) Prec@1 69.531 (68.531) Prec@5 86.719 (86.983) Epoch: [80][4460/10010] Time 0.308 (0.327) Data 0.001 (0.001) Loss 1.0479 (1.3527) Prec@1 75.781 (68.537) Prec@5 89.844 (86.987) Epoch: [80][4470/10010] Time 0.337 (0.327) Data 0.001 (0.001) Loss 1.3302 (1.3526) Prec@1 67.969 (68.537) Prec@5 88.281 (86.986) Epoch: [80][4480/10010] Time 0.315 (0.327) Data 0.001 (0.001) Loss 1.6054 (1.3528) Prec@1 66.406 (68.535) Prec@5 84.375 (86.982) Epoch: [80][4490/10010] Time 0.321 (0.327) Data 0.001 (0.001) Loss 1.2102 (1.3529) Prec@1 71.094 (68.535) Prec@5 89.844 (86.983) Epoch: [80][4500/10010] Time 0.340 (0.327) Data 0.000 (0.001) Loss 1.5147 (1.3529) Prec@1 64.062 (68.534) Prec@5 85.156 (86.983) Epoch: [80][4510/10010] Time 0.327 (0.327) Data 0.000 (0.001) Loss 1.4440 (1.3529) Prec@1 64.844 (68.533) Prec@5 86.719 (86.984) Epoch: [80][4520/10010] Time 0.325 (0.327) Data 0.001 (0.001) Loss 1.5901 (1.3530) Prec@1 65.625 (68.532) Prec@5 79.688 (86.983) Epoch: [80][4530/10010] Time 0.313 (0.327) Data 0.001 (0.001) Loss 1.4126 (1.3531) Prec@1 69.531 (68.529) Prec@5 87.500 (86.984) Epoch: [80][4540/10010] Time 0.334 (0.327) Data 0.001 (0.001) Loss 1.2771 (1.3530) Prec@1 67.188 (68.528) Prec@5 89.062 (86.983) Epoch: [80][4550/10010] Time 0.336 (0.327) Data 0.000 (0.001) Loss 1.3968 (1.3529) Prec@1 65.625 (68.527) Prec@5 86.719 (86.984) Epoch: [80][4560/10010] Time 0.323 (0.327) Data 0.000 (0.001) Loss 1.3064 (1.3529) Prec@1 71.094 (68.528) Prec@5 88.281 (86.985) Epoch: [80][4570/10010] Time 0.338 (0.327) Data 0.001 (0.001) Loss 1.3444 (1.3530) Prec@1 69.531 (68.524) Prec@5 85.938 (86.983) Epoch: [80][4580/10010] Time 0.336 (0.327) Data 0.001 (0.001) Loss 1.4196 (1.3530) Prec@1 65.625 (68.524) Prec@5 85.938 (86.982) Epoch: [80][4590/10010] Time 0.324 (0.327) Data 0.000 (0.001) Loss 1.2437 (1.3530) Prec@1 67.969 (68.521) Prec@5 87.500 (86.979) Epoch: [80][4600/10010] Time 0.327 (0.327) Data 0.001 (0.001) Loss 1.7133 (1.3532) Prec@1 65.625 (68.521) Prec@5 78.906 (86.976) Epoch: [80][4610/10010] Time 0.337 (0.327) Data 0.000 (0.001) Loss 1.6215 (1.3533) Prec@1 67.969 (68.522) Prec@5 83.594 (86.975) Epoch: [80][4620/10010] Time 0.317 (0.327) Data 0.001 (0.001) Loss 1.4970 (1.3534) Prec@1 62.500 (68.513) Prec@5 84.375 (86.972) Epoch: [80][4630/10010] Time 0.331 (0.327) Data 0.000 (0.001) Loss 1.4953 (1.3534) Prec@1 56.250 (68.513) Prec@5 83.594 (86.972) Epoch: [80][4640/10010] Time 0.317 (0.327) Data 0.000 (0.001) Loss 1.2463 (1.3534) Prec@1 70.312 (68.512) Prec@5 84.375 (86.971) Epoch: [80][4650/10010] Time 0.339 (0.327) Data 0.001 (0.001) Loss 1.5289 (1.3534) Prec@1 64.844 (68.511) Prec@5 85.156 (86.971) Epoch: [80][4660/10010] Time 0.317 (0.327) Data 0.001 (0.001) Loss 0.9976 (1.3532) Prec@1 76.562 (68.516) Prec@5 91.406 (86.974) Epoch: [80][4670/10010] Time 0.340 (0.327) Data 0.000 (0.001) Loss 1.2552 (1.3533) Prec@1 65.625 (68.515) Prec@5 85.938 (86.972) Epoch: [80][4680/10010] Time 0.320 (0.327) Data 0.000 (0.001) Loss 1.8911 (1.3535) Prec@1 61.719 (68.513) Prec@5 82.031 (86.968) Epoch: [80][4690/10010] Time 0.338 (0.327) Data 0.001 (0.001) Loss 1.1978 (1.3534) Prec@1 70.312 (68.517) Prec@5 89.844 (86.968) Epoch: [80][4700/10010] Time 0.338 (0.327) Data 0.001 (0.001) Loss 1.2786 (1.3534) Prec@1 71.094 (68.514) Prec@5 83.594 (86.967) Epoch: [80][4710/10010] Time 0.324 (0.327) Data 0.000 (0.001) Loss 1.2288 (1.3535) Prec@1 71.094 (68.513) Prec@5 90.625 (86.966) Epoch: [80][4720/10010] Time 0.343 (0.327) Data 0.000 (0.001) Loss 1.1747 (1.3534) Prec@1 73.438 (68.516) Prec@5 88.281 (86.968) Epoch: [80][4730/10010] Time 0.331 (0.327) Data 0.001 (0.001) Loss 1.4819 (1.3533) Prec@1 66.406 (68.518) Prec@5 89.844 (86.968) Epoch: [80][4740/10010] Time 0.332 (0.327) Data 0.001 (0.001) Loss 1.5356 (1.3534) Prec@1 67.188 (68.518) Prec@5 82.031 (86.968) Epoch: [80][4750/10010] Time 0.322 (0.327) Data 0.001 (0.001) Loss 1.4591 (1.3532) Prec@1 62.500 (68.517) Prec@5 88.281 (86.971) Epoch: [80][4760/10010] Time 0.317 (0.327) Data 0.000 (0.001) Loss 1.2526 (1.3532) Prec@1 70.312 (68.517) Prec@5 88.281 (86.974) Epoch: [80][4770/10010] Time 0.328 (0.327) Data 0.001 (0.001) Loss 1.1861 (1.3532) Prec@1 64.062 (68.516) Prec@5 90.625 (86.973) Epoch: [80][4780/10010] Time 0.335 (0.327) Data 0.001 (0.001) Loss 1.2876 (1.3532) Prec@1 68.750 (68.514) Prec@5 84.375 (86.972) Epoch: [80][4790/10010] Time 0.340 (0.327) Data 0.000 (0.001) Loss 1.1033 (1.3532) Prec@1 71.094 (68.511) Prec@5 89.062 (86.972) Epoch: [80][4800/10010] Time 0.315 (0.327) Data 0.000 (0.001) Loss 1.3695 (1.3531) Prec@1 70.312 (68.513) Prec@5 83.594 (86.976) Epoch: [80][4810/10010] Time 0.327 (0.327) Data 0.001 (0.001) Loss 1.4667 (1.3531) Prec@1 65.625 (68.512) Prec@5 85.156 (86.975) Epoch: [80][4820/10010] Time 0.326 (0.327) Data 0.001 (0.001) Loss 1.5704 (1.3530) Prec@1 64.062 (68.513) Prec@5 85.156 (86.976) Epoch: [80][4830/10010] Time 0.323 (0.327) Data 0.001 (0.001) Loss 1.3540 (1.3530) Prec@1 65.625 (68.515) Prec@5 89.062 (86.977) /data/vision/torralba/deepscene/lib/anaconda2/lib/python2.7/site-packages/PIL/TiffImagePlugin.py:692: UserWarning: Possibly corrupt EXIF data. Expecting to read 2555904 bytes but only got 0. Skipping tag 0 "Skipping tag %s" % (size, len(data), tag)) Epoch: [80][4840/10010] Time 0.319 (0.327) Data 0.000 (0.001) Loss 1.4500 (1.3530) Prec@1 66.406 (68.517) Prec@5 85.938 (86.977) Epoch: [80][4850/10010] Time 0.328 (0.327) Data 0.001 (0.001) Loss 1.4343 (1.3532) Prec@1 66.406 (68.512) Prec@5 87.500 (86.973) Epoch: [80][4860/10010] Time 0.334 (0.327) Data 0.000 (0.001) Loss 1.4196 (1.3532) Prec@1 68.750 (68.513) Prec@5 85.156 (86.974) Epoch: [80][4870/10010] Time 0.316 (0.327) Data 0.001 (0.001) Loss 1.4128 (1.3531) Prec@1 67.188 (68.514) Prec@5 85.156 (86.977) Epoch: [80][4880/10010] Time 0.337 (0.327) Data 0.001 (0.001) Loss 1.2232 (1.3530) Prec@1 66.406 (68.516) Prec@5 89.062 (86.979) Epoch: [80][4890/10010] Time 0.323 (0.327) Data 0.000 (0.001) Loss 1.2034 (1.3528) Prec@1 73.438 (68.518) Prec@5 85.938 (86.982) Epoch: [80][4900/10010] Time 0.321 (0.327) Data 0.001 (0.001) Loss 1.3375 (1.3529) Prec@1 68.750 (68.514) Prec@5 85.156 (86.980) Epoch: [80][4910/10010] Time 0.337 (0.327) Data 0.001 (0.001) Loss 1.4518 (1.3530) Prec@1 61.719 (68.515) Prec@5 87.500 (86.981) Epoch: [80][4920/10010] Time 0.342 (0.327) Data 0.000 (0.001) Loss 1.9488 (1.3532) Prec@1 51.562 (68.511) Prec@5 78.906 (86.978) Epoch: [80][4930/10010] Time 0.329 (0.327) Data 0.001 (0.001) Loss 1.5862 (1.3534) Prec@1 62.500 (68.509) Prec@5 84.375 (86.973) Epoch: [80][4940/10010] Time 0.336 (0.327) Data 0.000 (0.001) Loss 1.4578 (1.3536) Prec@1 64.844 (68.505) Prec@5 85.156 (86.973) Epoch: [80][4950/10010] Time 0.318 (0.327) Data 0.001 (0.001) Loss 1.6999 (1.3539) Prec@1 65.625 (68.501) Prec@5 78.125 (86.968) Epoch: [80][4960/10010] Time 0.327 (0.327) Data 0.000 (0.001) Loss 1.0435 (1.3537) Prec@1 72.656 (68.506) Prec@5 91.406 (86.969) Epoch: [80][4970/10010] Time 0.324 (0.327) Data 0.000 (0.001) Loss 1.3411 (1.3538) Prec@1 71.094 (68.504) Prec@5 87.500 (86.969) Epoch: [80][4980/10010] Time 0.336 (0.327) Data 0.001 (0.001) Loss 1.0257 (1.3538) Prec@1 72.656 (68.503) Prec@5 89.062 (86.969) Epoch: [80][4990/10010] Time 0.325 (0.327) Data 0.001 (0.001) Loss 1.3098 (1.3540) Prec@1 70.312 (68.500) Prec@5 87.500 (86.968) Epoch: [80][5000/10010] Time 0.323 (0.327) Data 0.001 (0.001) Loss 1.5799 (1.3539) Prec@1 64.844 (68.501) Prec@5 83.594 (86.968) Epoch: [80][5010/10010] Time 0.327 (0.327) Data 0.001 (0.001) Loss 1.4158 (1.3540) Prec@1 66.406 (68.500) Prec@5 87.500 (86.969) Epoch: [80][5020/10010] Time 0.340 (0.327) Data 0.001 (0.001) Loss 1.5016 (1.3541) Prec@1 69.531 (68.499) Prec@5 84.375 (86.966) Epoch: [80][5030/10010] Time 0.330 (0.327) Data 0.001 (0.001) Loss 1.4030 (1.3540) Prec@1 67.188 (68.502) Prec@5 84.375 (86.968) Epoch: [80][5040/10010] Time 0.323 (0.327) Data 0.000 (0.001) Loss 1.3617 (1.3541) Prec@1 68.750 (68.502) Prec@5 88.281 (86.966) Epoch: [80][5050/10010] Time 0.340 (0.327) Data 0.000 (0.001) Loss 1.3748 (1.3542) Prec@1 70.312 (68.503) Prec@5 88.281 (86.964) Epoch: [80][5060/10010] Time 0.331 (0.327) Data 0.001 (0.001) Loss 1.3580 (1.3542) Prec@1 64.844 (68.502) Prec@5 91.406 (86.967) Epoch: [80][5070/10010] Time 0.334 (0.327) Data 0.001 (0.001) Loss 1.1083 (1.3543) Prec@1 74.219 (68.500) Prec@5 91.406 (86.964) Epoch: [80][5080/10010] Time 0.314 (0.327) Data 0.001 (0.001) Loss 1.5435 (1.3544) Prec@1 64.844 (68.498) Prec@5 82.812 (86.964) Epoch: [80][5090/10010] Time 0.340 (0.327) Data 0.001 (0.001) Loss 1.6510 (1.3543) Prec@1 62.500 (68.499) Prec@5 82.812 (86.964) Epoch: [80][5100/10010] Time 0.320 (0.327) Data 0.001 (0.001) Loss 1.3717 (1.3542) Prec@1 68.750 (68.502) Prec@5 85.938 (86.965) Epoch: [80][5110/10010] Time 0.318 (0.327) Data 0.001 (0.001) Loss 1.3283 (1.3540) Prec@1 67.969 (68.503) Prec@5 89.062 (86.969) Epoch: [80][5120/10010] Time 0.319 (0.327) Data 0.001 (0.001) Loss 1.4275 (1.3541) Prec@1 67.188 (68.502) Prec@5 87.500 (86.968) Epoch: [80][5130/10010] Time 0.339 (0.327) Data 0.001 (0.001) Loss 1.4091 (1.3541) Prec@1 66.406 (68.502) Prec@5 85.156 (86.969) Epoch: [80][5140/10010] Time 0.335 (0.327) Data 0.001 (0.001) Loss 1.1869 (1.3542) Prec@1 67.188 (68.497) Prec@5 90.625 (86.969) Epoch: [80][5150/10010] Time 0.321 (0.327) Data 0.000 (0.001) Loss 1.3941 (1.3542) Prec@1 64.844 (68.495) Prec@5 84.375 (86.969) Epoch: [80][5160/10010] Time 0.332 (0.327) Data 0.001 (0.001) Loss 1.3594 (1.3542) Prec@1 63.281 (68.494) Prec@5 88.281 (86.971) Epoch: [80][5170/10010] Time 0.334 (0.327) Data 0.000 (0.001) Loss 1.1496 (1.3541) Prec@1 70.312 (68.494) Prec@5 90.625 (86.972) Epoch: [80][5180/10010] Time 0.317 (0.327) Data 0.001 (0.001) Loss 1.3843 (1.3541) Prec@1 71.094 (68.493) Prec@5 89.062 (86.973) Epoch: [80][5190/10010] Time 0.339 (0.327) Data 0.000 (0.001) Loss 1.2658 (1.3541) Prec@1 67.969 (68.492) Prec@5 88.281 (86.972) Epoch: [80][5200/10010] Time 0.320 (0.327) Data 0.001 (0.001) Loss 1.4576 (1.3540) Prec@1 64.844 (68.492) Prec@5 80.469 (86.972) Epoch: [80][5210/10010] Time 0.337 (0.327) Data 0.001 (0.001) Loss 1.3494 (1.3540) Prec@1 68.750 (68.490) Prec@5 84.375 (86.972) Epoch: [80][5220/10010] Time 0.340 (0.327) Data 0.001 (0.001) Loss 1.2741 (1.3541) Prec@1 67.969 (68.489) Prec@5 86.719 (86.970) Epoch: [80][5230/10010] Time 0.336 (0.327) Data 0.000 (0.001) Loss 1.4517 (1.3541) Prec@1 72.656 (68.492) Prec@5 84.375 (86.969) Epoch: [80][5240/10010] Time 0.322 (0.327) Data 0.001 (0.001) Loss 1.1350 (1.3540) Prec@1 68.750 (68.492) Prec@5 88.281 (86.969) Epoch: [80][5250/10010] Time 0.335 (0.327) Data 0.001 (0.001) Loss 1.3530 (1.3541) Prec@1 67.969 (68.490) Prec@5 88.281 (86.968) Epoch: [80][5260/10010] Time 0.324 (0.327) Data 0.001 (0.001) Loss 1.1627 (1.3542) Prec@1 74.219 (68.488) Prec@5 89.844 (86.968) Epoch: [80][5270/10010] Time 0.331 (0.327) Data 0.001 (0.001) Loss 1.6130 (1.3541) Prec@1 65.625 (68.492) Prec@5 82.812 (86.969) Epoch: [80][5280/10010] Time 0.314 (0.327) Data 0.000 (0.001) Loss 1.4039 (1.3540) Prec@1 62.500 (68.497) Prec@5 85.938 (86.972) Epoch: [80][5290/10010] Time 0.333 (0.327) Data 0.000 (0.001) Loss 1.3477 (1.3540) Prec@1 63.281 (68.496) Prec@5 88.281 (86.973) Epoch: [80][5300/10010] Time 0.315 (0.327) Data 0.001 (0.001) Loss 1.3202 (1.3539) Prec@1 67.188 (68.499) Prec@5 89.062 (86.973) Epoch: [80][5310/10010] Time 0.324 (0.327) Data 0.001 (0.001) Loss 1.3926 (1.3539) Prec@1 65.625 (68.502) Prec@5 88.281 (86.974) Epoch: [80][5320/10010] Time 0.316 (0.327) Data 0.001 (0.001) Loss 1.4002 (1.3539) Prec@1 66.406 (68.502) Prec@5 85.938 (86.974) Epoch: [80][5330/10010] Time 0.342 (0.327) Data 0.000 (0.001) Loss 1.4985 (1.3539) Prec@1 62.500 (68.498) Prec@5 85.938 (86.974) Epoch: [80][5340/10010] Time 0.319 (0.327) Data 0.001 (0.001) Loss 1.5200 (1.3539) Prec@1 67.188 (68.498) Prec@5 84.375 (86.976) Epoch: [80][5350/10010] Time 0.328 (0.327) Data 0.001 (0.001) Loss 0.9555 (1.3539) Prec@1 75.000 (68.496) Prec@5 91.406 (86.976) Epoch: [80][5360/10010] Time 0.319 (0.327) Data 0.000 (0.001) Loss 1.5064 (1.3540) Prec@1 65.625 (68.495) Prec@5 84.375 (86.975) Epoch: [80][5370/10010] Time 0.312 (0.327) Data 0.001 (0.001) Loss 1.2400 (1.3542) Prec@1 71.094 (68.493) Prec@5 89.062 (86.972) Epoch: [80][5380/10010] Time 0.315 (0.327) Data 0.001 (0.001) Loss 1.1330 (1.3542) Prec@1 71.875 (68.494) Prec@5 91.406 (86.973) Epoch: [80][5390/10010] Time 0.327 (0.327) Data 0.001 (0.001) Loss 1.5549 (1.3541) Prec@1 64.062 (68.493) Prec@5 88.281 (86.975) Epoch: [80][5400/10010] Time 0.318 (0.327) Data 0.001 (0.001) Loss 1.3058 (1.3541) Prec@1 73.438 (68.496) Prec@5 86.719 (86.976) Epoch: [80][5410/10010] Time 0.324 (0.327) Data 0.000 (0.001) Loss 1.0216 (1.3540) Prec@1 73.438 (68.494) Prec@5 90.625 (86.976) Epoch: [80][5420/10010] Time 0.340 (0.327) Data 0.001 (0.001) Loss 1.4781 (1.3538) Prec@1 68.750 (68.496) Prec@5 85.938 (86.978) Epoch: [80][5430/10010] Time 0.334 (0.327) Data 0.001 (0.001) Loss 1.6620 (1.3538) Prec@1 65.625 (68.498) Prec@5 82.031 (86.977) Epoch: [80][5440/10010] Time 0.328 (0.327) Data 0.001 (0.001) Loss 1.2525 (1.3538) Prec@1 71.094 (68.500) Prec@5 88.281 (86.977) Epoch: [80][5450/10010] Time 0.312 (0.327) Data 0.001 (0.001) Loss 1.2100 (1.3537) Prec@1 70.312 (68.500) Prec@5 89.844 (86.978) Epoch: [80][5460/10010] Time 0.324 (0.327) Data 0.000 (0.001) Loss 1.3218 (1.3537) Prec@1 64.844 (68.498) Prec@5 86.719 (86.980) Epoch: [80][5470/10010] Time 0.322 (0.327) Data 0.000 (0.001) Loss 1.3524 (1.3537) Prec@1 65.625 (68.497) Prec@5 86.719 (86.981) Epoch: [80][5480/10010] Time 0.318 (0.327) Data 0.000 (0.001) Loss 1.4638 (1.3536) Prec@1 66.406 (68.501) Prec@5 82.812 (86.981) Epoch: [80][5490/10010] Time 0.330 (0.327) Data 0.001 (0.001) Loss 1.2346 (1.3536) Prec@1 69.531 (68.497) Prec@5 90.625 (86.980) Epoch: [80][5500/10010] Time 0.316 (0.327) Data 0.000 (0.001) Loss 1.5829 (1.3538) Prec@1 65.625 (68.495) Prec@5 81.250 (86.977) Epoch: [80][5510/10010] Time 0.341 (0.327) Data 0.001 (0.001) Loss 1.2377 (1.3538) Prec@1 73.438 (68.497) Prec@5 89.062 (86.976) Epoch: [80][5520/10010] Time 0.326 (0.327) Data 0.001 (0.001) Loss 1.3618 (1.3538) Prec@1 69.531 (68.496) Prec@5 85.938 (86.974) Epoch: [80][5530/10010] Time 0.334 (0.327) Data 0.000 (0.001) Loss 1.4459 (1.3538) Prec@1 72.656 (68.499) Prec@5 83.594 (86.972) Epoch: [80][5540/10010] Time 0.333 (0.327) Data 0.001 (0.001) Loss 1.4402 (1.3537) Prec@1 64.844 (68.499) Prec@5 88.281 (86.974) Epoch: [80][5550/10010] Time 0.318 (0.327) Data 0.001 (0.001) Loss 1.4747 (1.3538) Prec@1 67.188 (68.498) Prec@5 87.500 (86.973) Epoch: [80][5560/10010] Time 0.314 (0.327) Data 0.001 (0.001) Loss 1.2546 (1.3536) Prec@1 67.188 (68.496) Prec@5 86.719 (86.975) Epoch: [80][5570/10010] Time 0.330 (0.327) Data 0.001 (0.001) Loss 1.3934 (1.3536) Prec@1 67.188 (68.494) Prec@5 86.719 (86.975) Epoch: [80][5580/10010] Time 0.340 (0.327) Data 0.001 (0.001) Loss 1.3899 (1.3537) Prec@1 67.969 (68.494) Prec@5 89.062 (86.975) Epoch: [80][5590/10010] Time 0.337 (0.327) Data 0.000 (0.001) Loss 1.7696 (1.3537) Prec@1 58.594 (68.489) Prec@5 78.125 (86.974) Epoch: [80][5600/10010] Time 0.327 (0.327) Data 0.000 (0.001) Loss 1.4552 (1.3537) Prec@1 63.281 (68.486) Prec@5 85.938 (86.975) Epoch: [80][5610/10010] Time 0.311 (0.327) Data 0.000 (0.001) Loss 1.9155 (1.3539) Prec@1 58.594 (68.484) Prec@5 82.031 (86.973) Epoch: [80][5620/10010] Time 0.334 (0.327) Data 0.000 (0.001) Loss 1.1758 (1.3538) Prec@1 69.531 (68.488) Prec@5 92.188 (86.974) Epoch: [80][5630/10010] Time 0.329 (0.327) Data 0.000 (0.001) Loss 1.3087 (1.3537) Prec@1 66.406 (68.488) Prec@5 89.062 (86.974) Epoch: [80][5640/10010] Time 0.325 (0.327) Data 0.000 (0.001) Loss 1.4399 (1.3538) Prec@1 66.406 (68.488) Prec@5 83.594 (86.972) Epoch: [80][5650/10010] Time 0.320 (0.327) Data 0.000 (0.001) Loss 1.2825 (1.3538) Prec@1 69.531 (68.488) Prec@5 88.281 (86.972) Epoch: [80][5660/10010] Time 0.337 (0.327) Data 0.001 (0.001) Loss 1.3533 (1.3536) Prec@1 73.438 (68.490) Prec@5 83.594 (86.974) Epoch: [80][5670/10010] Time 0.327 (0.327) Data 0.001 (0.001) Loss 1.0278 (1.3535) Prec@1 71.875 (68.493) Prec@5 92.188 (86.977) Epoch: [80][5680/10010] Time 0.324 (0.327) Data 0.000 (0.001) Loss 1.3927 (1.3535) Prec@1 71.094 (68.495) Prec@5 84.375 (86.976) Epoch: [80][5690/10010] Time 0.339 (0.327) Data 0.001 (0.001) Loss 1.2721 (1.3536) Prec@1 71.875 (68.493) Prec@5 87.500 (86.975) Epoch: [80][5700/10010] Time 0.314 (0.327) Data 0.001 (0.001) Loss 1.3814 (1.3536) Prec@1 67.969 (68.495) Prec@5 85.156 (86.975) Epoch: [80][5710/10010] Time 0.329 (0.327) Data 0.000 (0.001) Loss 1.1970 (1.3535) Prec@1 72.656 (68.497) Prec@5 88.281 (86.975) Epoch: [80][5720/10010] Time 0.331 (0.327) Data 0.001 (0.001) Loss 1.0339 (1.3535) Prec@1 76.562 (68.499) Prec@5 89.844 (86.973) Epoch: [80][5730/10010] Time 0.320 (0.327) Data 0.001 (0.001) Loss 1.4616 (1.3534) Prec@1 67.969 (68.502) Prec@5 85.156 (86.975) Epoch: [80][5740/10010] Time 0.335 (0.327) Data 0.001 (0.001) Loss 1.4002 (1.3535) Prec@1 63.281 (68.498) Prec@5 89.844 (86.973) Epoch: [80][5750/10010] Time 0.323 (0.327) Data 0.001 (0.001) Loss 1.0736 (1.3535) Prec@1 71.875 (68.499) Prec@5 92.188 (86.975) Epoch: [80][5760/10010] Time 0.323 (0.327) Data 0.000 (0.001) Loss 1.1387 (1.3536) Prec@1 75.781 (68.499) Prec@5 90.625 (86.974) Epoch: [80][5770/10010] Time 0.338 (0.327) Data 0.000 (0.001) Loss 1.3644 (1.3536) Prec@1 75.781 (68.500) Prec@5 88.281 (86.975) Epoch: [80][5780/10010] Time 0.331 (0.327) Data 0.001 (0.001) Loss 1.3681 (1.3538) Prec@1 67.188 (68.495) Prec@5 85.938 (86.973) Epoch: [80][5790/10010] Time 0.336 (0.327) Data 0.000 (0.001) Loss 1.2947 (1.3540) Prec@1 72.656 (68.489) Prec@5 86.719 (86.970) Epoch: [80][5800/10010] Time 0.327 (0.327) Data 0.001 (0.001) Loss 1.1708 (1.3541) Prec@1 75.000 (68.490) Prec@5 90.625 (86.967) Epoch: [80][5810/10010] Time 0.341 (0.327) Data 0.001 (0.001) Loss 1.5017 (1.3541) Prec@1 66.406 (68.488) Prec@5 84.375 (86.967) Epoch: [80][5820/10010] Time 0.333 (0.327) Data 0.001 (0.001) Loss 1.5718 (1.3541) Prec@1 63.281 (68.488) Prec@5 85.156 (86.967) Epoch: [80][5830/10010] Time 0.317 (0.327) Data 0.001 (0.001) Loss 1.5352 (1.3541) Prec@1 58.594 (68.487) Prec@5 85.156 (86.966) Epoch: [80][5840/10010] Time 0.333 (0.327) Data 0.001 (0.001) Loss 1.3207 (1.3541) Prec@1 71.094 (68.490) Prec@5 89.844 (86.968) Epoch: [80][5850/10010] Time 0.320 (0.327) Data 0.001 (0.001) Loss 1.2595 (1.3539) Prec@1 61.719 (68.493) Prec@5 88.281 (86.970) Epoch: [80][5860/10010] Time 0.329 (0.327) Data 0.001 (0.001) Loss 1.8585 (1.3541) Prec@1 54.688 (68.489) Prec@5 77.344 (86.965) Epoch: [80][5870/10010] Time 0.341 (0.327) Data 0.000 (0.001) Loss 1.3185 (1.3542) Prec@1 71.875 (68.488) Prec@5 87.500 (86.963) Epoch: [80][5880/10010] Time 0.330 (0.327) Data 0.001 (0.001) Loss 1.5049 (1.3543) Prec@1 64.062 (68.486) Prec@5 81.250 (86.962) Epoch: [80][5890/10010] Time 0.334 (0.327) Data 0.001 (0.001) Loss 1.1930 (1.3543) Prec@1 71.094 (68.484) Prec@5 89.062 (86.959) Epoch: [80][5900/10010] Time 0.337 (0.327) Data 0.001 (0.001) Loss 1.0309 (1.3542) Prec@1 78.125 (68.488) Prec@5 92.188 (86.960) Epoch: [80][5910/10010] Time 0.317 (0.327) Data 0.001 (0.001) Loss 1.1014 (1.3543) Prec@1 71.094 (68.487) Prec@5 92.969 (86.961) Epoch: [80][5920/10010] Time 0.321 (0.327) Data 0.001 (0.001) Loss 1.4110 (1.3542) Prec@1 63.281 (68.487) Prec@5 88.281 (86.961) Epoch: [80][5930/10010] Time 0.333 (0.327) Data 0.001 (0.001) Loss 1.1359 (1.3542) Prec@1 73.438 (68.488) Prec@5 89.844 (86.961) Epoch: [80][5940/10010] Time 0.331 (0.327) Data 0.001 (0.001) Loss 1.3831 (1.3543) Prec@1 67.188 (68.487) Prec@5 85.938 (86.959) Epoch: [80][5950/10010] Time 0.313 (0.327) Data 0.001 (0.001) Loss 1.3034 (1.3543) Prec@1 73.438 (68.490) Prec@5 89.844 (86.959) Epoch: [80][5960/10010] Time 0.332 (0.327) Data 0.001 (0.001) Loss 1.3928 (1.3542) Prec@1 67.188 (68.492) Prec@5 87.500 (86.960) Epoch: [80][5970/10010] Time 0.331 (0.327) Data 0.001 (0.001) Loss 1.4260 (1.3542) Prec@1 66.406 (68.492) Prec@5 83.594 (86.959) Epoch: [80][5980/10010] Time 0.339 (0.327) Data 0.001 (0.001) Loss 1.3482 (1.3543) Prec@1 66.406 (68.491) Prec@5 88.281 (86.959) Epoch: [80][5990/10010] Time 0.334 (0.327) Data 0.000 (0.001) Loss 1.5103 (1.3543) Prec@1 64.844 (68.492) Prec@5 84.375 (86.959) Epoch: [80][6000/10010] Time 0.333 (0.327) Data 0.001 (0.001) Loss 1.1946 (1.3542) Prec@1 74.219 (68.493) Prec@5 87.500 (86.958) Epoch: [80][6010/10010] Time 0.344 (0.327) Data 0.001 (0.001) Loss 1.5214 (1.3543) Prec@1 65.625 (68.493) Prec@5 85.938 (86.960) Epoch: [80][6020/10010] Time 0.340 (0.327) Data 0.000 (0.001) Loss 1.2890 (1.3543) Prec@1 65.625 (68.492) Prec@5 89.062 (86.961) Epoch: [80][6030/10010] Time 0.339 (0.327) Data 0.000 (0.001) Loss 1.1064 (1.3543) Prec@1 75.000 (68.492) Prec@5 89.062 (86.961) Epoch: [80][6040/10010] Time 0.319 (0.327) Data 0.000 (0.001) Loss 0.9575 (1.3542) Prec@1 75.000 (68.493) Prec@5 92.188 (86.962) Epoch: [80][6050/10010] Time 0.326 (0.327) Data 0.000 (0.001) Loss 1.2646 (1.3541) Prec@1 70.312 (68.496) Prec@5 89.062 (86.966) Epoch: [80][6060/10010] Time 0.341 (0.327) Data 0.001 (0.001) Loss 1.2921 (1.3542) Prec@1 72.656 (68.495) Prec@5 87.500 (86.965) Epoch: [80][6070/10010] Time 0.335 (0.327) Data 0.001 (0.001) Loss 1.3097 (1.3541) Prec@1 72.656 (68.498) Prec@5 89.844 (86.965) Epoch: [80][6080/10010] Time 0.342 (0.327) Data 0.000 (0.001) Loss 1.3485 (1.3541) Prec@1 67.188 (68.497) Prec@5 88.281 (86.965) Epoch: [80][6090/10010] Time 0.338 (0.327) Data 0.000 (0.001) Loss 1.0472 (1.3542) Prec@1 74.219 (68.497) Prec@5 89.844 (86.961) Epoch: [80][6100/10010] Time 0.316 (0.327) Data 0.001 (0.001) Loss 1.4937 (1.3542) Prec@1 67.969 (68.495) Prec@5 87.500 (86.962) Epoch: [80][6110/10010] Time 0.320 (0.327) Data 0.001 (0.001) Loss 1.2215 (1.3542) Prec@1 71.094 (68.495) Prec@5 89.062 (86.963) Epoch: [80][6120/10010] Time 0.320 (0.327) Data 0.001 (0.001) Loss 1.4487 (1.3543) Prec@1 69.531 (68.492) Prec@5 85.938 (86.962) Epoch: [80][6130/10010] Time 0.317 (0.327) Data 0.001 (0.001) Loss 1.1728 (1.3542) Prec@1 68.750 (68.496) Prec@5 90.625 (86.964) Epoch: [80][6140/10010] Time 0.342 (0.327) Data 0.001 (0.001) Loss 1.3821 (1.3542) Prec@1 67.969 (68.498) Prec@5 84.375 (86.963) Epoch: [80][6150/10010] Time 0.321 (0.327) Data 0.001 (0.001) Loss 1.4719 (1.3543) Prec@1 69.531 (68.499) Prec@5 85.938 (86.964) Epoch: [80][6160/10010] Time 0.316 (0.327) Data 0.001 (0.001) Loss 1.2529 (1.3543) Prec@1 73.438 (68.501) Prec@5 89.844 (86.963) Epoch: [80][6170/10010] Time 0.331 (0.327) Data 0.000 (0.001) Loss 1.4062 (1.3543) Prec@1 71.094 (68.502) Prec@5 85.156 (86.963) Epoch: [80][6180/10010] Time 0.342 (0.327) Data 0.000 (0.001) Loss 1.2778 (1.3543) Prec@1 71.875 (68.503) Prec@5 88.281 (86.964) Epoch: [80][6190/10010] Time 0.343 (0.327) Data 0.001 (0.001) Loss 1.3335 (1.3543) Prec@1 70.312 (68.504) Prec@5 85.938 (86.962) Epoch: [80][6200/10010] Time 0.320 (0.327) Data 0.001 (0.001) Loss 1.3627 (1.3543) Prec@1 70.312 (68.504) Prec@5 84.375 (86.960) Epoch: [80][6210/10010] Time 0.318 (0.327) Data 0.001 (0.001) Loss 1.5939 (1.3543) Prec@1 61.719 (68.506) Prec@5 83.594 (86.960) Epoch: [80][6220/10010] Time 0.339 (0.327) Data 0.000 (0.001) Loss 1.4468 (1.3542) Prec@1 64.844 (68.506) Prec@5 82.812 (86.961) Epoch: [80][6230/10010] Time 0.342 (0.327) Data 0.001 (0.001) Loss 1.3644 (1.3542) Prec@1 71.094 (68.507) Prec@5 86.719 (86.961) Epoch: [80][6240/10010] Time 0.323 (0.327) Data 0.001 (0.001) Loss 1.5532 (1.3545) Prec@1 62.500 (68.500) Prec@5 84.375 (86.957) Epoch: [80][6250/10010] Time 0.344 (0.327) Data 0.001 (0.001) Loss 1.3050 (1.3544) Prec@1 71.875 (68.501) Prec@5 88.281 (86.958) Epoch: [80][6260/10010] Time 0.318 (0.327) Data 0.001 (0.001) Loss 1.5351 (1.3545) Prec@1 67.188 (68.498) Prec@5 81.250 (86.957) Epoch: [80][6270/10010] Time 0.335 (0.327) Data 0.000 (0.001) Loss 1.1826 (1.3545) Prec@1 69.531 (68.499) Prec@5 90.625 (86.960) Epoch: [80][6280/10010] Time 0.341 (0.327) Data 0.000 (0.001) Loss 1.2772 (1.3545) Prec@1 68.750 (68.497) Prec@5 88.281 (86.959) Epoch: [80][6290/10010] Time 0.317 (0.327) Data 0.001 (0.001) Loss 1.2118 (1.3544) Prec@1 67.188 (68.496) Prec@5 86.719 (86.961) Epoch: [80][6300/10010] Time 0.318 (0.327) Data 0.001 (0.001) Loss 1.2354 (1.3543) Prec@1 73.438 (68.501) Prec@5 90.625 (86.963) Epoch: [80][6310/10010] Time 0.329 (0.327) Data 0.000 (0.001) Loss 1.2105 (1.3543) Prec@1 72.656 (68.500) Prec@5 89.062 (86.963) Epoch: [80][6320/10010] Time 0.315 (0.327) Data 0.001 (0.001) Loss 1.3444 (1.3542) Prec@1 67.188 (68.500) Prec@5 87.500 (86.964) Epoch: [80][6330/10010] Time 0.316 (0.327) Data 0.001 (0.001) Loss 1.0106 (1.3542) Prec@1 76.562 (68.503) Prec@5 92.188 (86.963) Epoch: [80][6340/10010] Time 0.319 (0.327) Data 0.001 (0.001) Loss 1.6250 (1.3544) Prec@1 63.281 (68.501) Prec@5 82.812 (86.960) Epoch: [80][6350/10010] Time 0.313 (0.327) Data 0.001 (0.001) Loss 1.4332 (1.3545) Prec@1 69.531 (68.498) Prec@5 82.812 (86.959) Epoch: [80][6360/10010] Time 0.338 (0.327) Data 0.001 (0.001) Loss 1.3677 (1.3544) Prec@1 70.312 (68.503) Prec@5 85.156 (86.960) Epoch: [80][6370/10010] Time 0.324 (0.327) Data 0.000 (0.001) Loss 1.2305 (1.3544) Prec@1 71.875 (68.501) Prec@5 86.719 (86.959) Epoch: [80][6380/10010] Time 0.320 (0.327) Data 0.001 (0.001) Loss 1.3243 (1.3544) Prec@1 70.312 (68.500) Prec@5 88.281 (86.961) Epoch: [80][6390/10010] Time 0.333 (0.327) Data 0.001 (0.001) Loss 1.7226 (1.3543) Prec@1 66.406 (68.502) Prec@5 82.812 (86.962) Epoch: [80][6400/10010] Time 0.321 (0.327) Data 0.001 (0.001) Loss 1.3844 (1.3542) Prec@1 64.844 (68.506) Prec@5 85.156 (86.964) Epoch: [80][6410/10010] Time 0.333 (0.327) Data 0.001 (0.001) Loss 1.4718 (1.3542) Prec@1 68.750 (68.507) Prec@5 88.281 (86.964) Epoch: [80][6420/10010] Time 0.342 (0.327) Data 0.001 (0.001) Loss 1.1272 (1.3539) Prec@1 72.656 (68.511) Prec@5 88.281 (86.967) Epoch: [80][6430/10010] Time 0.335 (0.327) Data 0.000 (0.001) Loss 1.3381 (1.3539) Prec@1 66.406 (68.511) Prec@5 88.281 (86.968) Epoch: [80][6440/10010] Time 0.319 (0.327) Data 0.001 (0.001) Loss 1.2467 (1.3540) Prec@1 69.531 (68.509) Prec@5 89.844 (86.966) Epoch: [80][6450/10010] Time 0.323 (0.327) Data 0.000 (0.001) Loss 1.1925 (1.3540) Prec@1 71.875 (68.508) Prec@5 87.500 (86.966) Epoch: [80][6460/10010] Time 0.314 (0.327) Data 0.001 (0.001) Loss 1.3328 (1.3540) Prec@1 69.531 (68.508) Prec@5 86.719 (86.966) Epoch: [80][6470/10010] Time 0.322 (0.327) Data 0.000 (0.001) Loss 1.4996 (1.3541) Prec@1 64.062 (68.506) Prec@5 83.594 (86.966) Epoch: [80][6480/10010] Time 0.323 (0.327) Data 0.000 (0.001) Loss 1.4252 (1.3541) Prec@1 64.062 (68.506) Prec@5 88.281 (86.967) Epoch: [80][6490/10010] Time 0.335 (0.327) Data 0.000 (0.001) Loss 1.3818 (1.3540) Prec@1 71.875 (68.509) Prec@5 85.938 (86.968) Epoch: [80][6500/10010] Time 0.328 (0.327) Data 0.001 (0.001) Loss 1.5525 (1.3539) Prec@1 62.500 (68.509) Prec@5 85.156 (86.971) Epoch: [80][6510/10010] Time 0.338 (0.327) Data 0.001 (0.001) Loss 1.3255 (1.3539) Prec@1 66.406 (68.508) Prec@5 86.719 (86.970) Epoch: [80][6520/10010] Time 0.319 (0.327) Data 0.001 (0.001) Loss 1.4435 (1.3540) Prec@1 63.281 (68.506) Prec@5 85.156 (86.970) Epoch: [80][6530/10010] Time 0.337 (0.327) Data 0.000 (0.001) Loss 1.2586 (1.3539) Prec@1 67.969 (68.507) Prec@5 89.062 (86.973) Epoch: [80][6540/10010] Time 0.334 (0.327) Data 0.000 (0.001) Loss 1.7334 (1.3541) Prec@1 60.938 (68.506) Prec@5 78.906 (86.970) Epoch: [80][6550/10010] Time 0.317 (0.327) Data 0.000 (0.001) Loss 1.4508 (1.3540) Prec@1 67.188 (68.506) Prec@5 82.812 (86.971) Epoch: [80][6560/10010] Time 0.320 (0.327) Data 0.001 (0.001) Loss 1.2091 (1.3540) Prec@1 69.531 (68.507) Prec@5 89.844 (86.973) Epoch: [80][6570/10010] Time 0.319 (0.327) Data 0.001 (0.001) Loss 1.4519 (1.3540) Prec@1 64.844 (68.507) Prec@5 87.500 (86.973) Epoch: [80][6580/10010] Time 0.329 (0.327) Data 0.000 (0.001) Loss 1.2898 (1.3540) Prec@1 65.625 (68.509) Prec@5 88.281 (86.973) Epoch: [80][6590/10010] Time 0.316 (0.327) Data 0.001 (0.001) Loss 1.3172 (1.3539) Prec@1 65.625 (68.508) Prec@5 86.719 (86.972) Epoch: [80][6600/10010] Time 0.330 (0.327) Data 0.001 (0.001) Loss 1.4715 (1.3541) Prec@1 67.188 (68.505) Prec@5 90.625 (86.971) Epoch: [80][6610/10010] Time 0.322 (0.327) Data 0.000 (0.001) Loss 1.4390 (1.3541) Prec@1 61.719 (68.502) Prec@5 82.812 (86.969) Epoch: [80][6620/10010] Time 0.318 (0.327) Data 0.001 (0.001) Loss 1.0340 (1.3540) Prec@1 74.219 (68.503) Prec@5 92.188 (86.970) Epoch: [80][6630/10010] Time 0.338 (0.327) Data 0.000 (0.001) Loss 1.3446 (1.3541) Prec@1 71.094 (68.501) Prec@5 84.375 (86.967) Epoch: [80][6640/10010] Time 0.332 (0.327) Data 0.000 (0.001) Loss 1.2570 (1.3541) Prec@1 73.438 (68.500) Prec@5 88.281 (86.968) Epoch: [80][6650/10010] Time 0.334 (0.327) Data 0.001 (0.001) Loss 1.3591 (1.3541) Prec@1 70.312 (68.501) Prec@5 87.500 (86.969) Epoch: [80][6660/10010] Time 0.327 (0.327) Data 0.001 (0.001) Loss 1.3406 (1.3542) Prec@1 69.531 (68.499) Prec@5 85.938 (86.968) Epoch: [80][6670/10010] Time 0.326 (0.327) Data 0.000 (0.001) Loss 1.4986 (1.3543) Prec@1 67.969 (68.499) Prec@5 85.156 (86.968) Epoch: [80][6680/10010] Time 0.330 (0.327) Data 0.001 (0.001) Loss 1.2928 (1.3543) Prec@1 71.875 (68.499) Prec@5 88.281 (86.967) Epoch: [80][6690/10010] Time 0.338 (0.327) Data 0.001 (0.001) Loss 1.4038 (1.3544) Prec@1 66.406 (68.499) Prec@5 85.938 (86.965) Epoch: [80][6700/10010] Time 0.323 (0.327) Data 0.001 (0.001) Loss 1.5251 (1.3545) Prec@1 71.094 (68.499) Prec@5 84.375 (86.965) Epoch: [80][6710/10010] Time 0.324 (0.327) Data 0.001 (0.001) Loss 1.1607 (1.3544) Prec@1 73.438 (68.502) Prec@5 91.406 (86.966) Epoch: [80][6720/10010] Time 0.338 (0.327) Data 0.001 (0.001) Loss 1.2741 (1.3544) Prec@1 71.875 (68.503) Prec@5 89.844 (86.967) Epoch: [80][6730/10010] Time 0.318 (0.327) Data 0.001 (0.001) Loss 1.2840 (1.3543) Prec@1 67.969 (68.502) Prec@5 85.156 (86.969) Epoch: [80][6740/10010] Time 0.341 (0.327) Data 0.001 (0.001) Loss 1.2198 (1.3543) Prec@1 72.656 (68.500) Prec@5 89.062 (86.969) Epoch: [80][6750/10010] Time 0.322 (0.327) Data 0.001 (0.001) Loss 1.2847 (1.3543) Prec@1 69.531 (68.500) Prec@5 87.500 (86.970) Epoch: [80][6760/10010] Time 0.336 (0.327) Data 0.001 (0.001) Loss 1.2576 (1.3543) Prec@1 70.312 (68.500) Prec@5 87.500 (86.968) Epoch: [80][6770/10010] Time 0.338 (0.327) Data 0.001 (0.001) Loss 1.1232 (1.3543) Prec@1 71.875 (68.501) Prec@5 90.625 (86.969) Epoch: [80][6780/10010] Time 0.313 (0.327) Data 0.000 (0.001) Loss 1.3613 (1.3543) Prec@1 72.656 (68.500) Prec@5 85.938 (86.969) Epoch: [80][6790/10010] Time 0.325 (0.327) Data 0.001 (0.001) Loss 1.3168 (1.3543) Prec@1 73.438 (68.501) Prec@5 87.500 (86.970) Epoch: [80][6800/10010] Time 0.320 (0.327) Data 0.001 (0.001) Loss 1.3799 (1.3542) Prec@1 69.531 (68.500) Prec@5 85.938 (86.970) Epoch: [80][6810/10010] Time 0.320 (0.327) Data 0.001 (0.001) Loss 1.2099 (1.3542) Prec@1 71.094 (68.501) Prec@5 84.375 (86.968) Epoch: [80][6820/10010] Time 0.338 (0.327) Data 0.001 (0.001) Loss 1.1059 (1.3543) Prec@1 72.656 (68.500) Prec@5 89.062 (86.966) Epoch: [80][6830/10010] Time 0.323 (0.327) Data 0.001 (0.001) Loss 1.2350 (1.3543) Prec@1 68.750 (68.500) Prec@5 88.281 (86.965) Epoch: [80][6840/10010] Time 0.322 (0.327) Data 0.001 (0.001) Loss 1.4230 (1.3543) Prec@1 60.938 (68.500) Prec@5 87.500 (86.965) Epoch: [80][6850/10010] Time 0.332 (0.327) Data 0.001 (0.001) Loss 1.3561 (1.3542) Prec@1 65.625 (68.500) Prec@5 86.719 (86.966) Epoch: [80][6860/10010] Time 0.336 (0.327) Data 0.001 (0.001) Loss 1.2408 (1.3541) Prec@1 68.750 (68.501) Prec@5 92.188 (86.968) Epoch: [80][6870/10010] Time 0.328 (0.327) Data 0.001 (0.001) Loss 1.1532 (1.3541) Prec@1 78.125 (68.502) Prec@5 90.625 (86.968) Epoch: [80][6880/10010] Time 0.329 (0.327) Data 0.000 (0.001) Loss 1.6662 (1.3542) Prec@1 67.969 (68.501) Prec@5 83.594 (86.967) Epoch: [80][6890/10010] Time 0.321 (0.327) Data 0.000 (0.001) Loss 1.3893 (1.3543) Prec@1 68.750 (68.499) Prec@5 85.938 (86.966) Epoch: [80][6900/10010] Time 0.321 (0.327) Data 0.000 (0.001) Loss 1.0400 (1.3541) Prec@1 76.562 (68.500) Prec@5 89.844 (86.968) Epoch: [80][6910/10010] Time 0.322 (0.327) Data 0.001 (0.001) Loss 1.2037 (1.3541) Prec@1 67.969 (68.499) Prec@5 91.406 (86.968) Epoch: [80][6920/10010] Time 0.318 (0.327) Data 0.001 (0.001) Loss 1.3651 (1.3542) Prec@1 68.750 (68.500) Prec@5 83.594 (86.967) Epoch: [80][6930/10010] Time 0.334 (0.327) Data 0.001 (0.001) Loss 1.3948 (1.3541) Prec@1 69.531 (68.502) Prec@5 87.500 (86.968) Epoch: [80][6940/10010] Time 0.335 (0.327) Data 0.001 (0.001) Loss 1.4584 (1.3541) Prec@1 69.531 (68.500) Prec@5 84.375 (86.969) Epoch: [80][6950/10010] Time 0.337 (0.327) Data 0.001 (0.001) Loss 1.2095 (1.3541) Prec@1 70.312 (68.500) Prec@5 89.844 (86.970) Epoch: [80][6960/10010] Time 0.315 (0.327) Data 0.001 (0.001) Loss 1.2617 (1.3540) Prec@1 66.406 (68.499) Prec@5 89.844 (86.972) Epoch: [80][6970/10010] Time 0.334 (0.327) Data 0.000 (0.001) Loss 1.2087 (1.3540) Prec@1 72.656 (68.500) Prec@5 90.625 (86.972) Epoch: [80][6980/10010] Time 0.320 (0.327) Data 0.001 (0.001) Loss 1.5825 (1.3541) Prec@1 63.281 (68.499) Prec@5 80.469 (86.972) Epoch: [80][6990/10010] Time 0.331 (0.327) Data 0.000 (0.001) Loss 1.3800 (1.3540) Prec@1 72.656 (68.501) Prec@5 83.594 (86.972) Epoch: [80][7000/10010] Time 0.327 (0.327) Data 0.000 (0.001) Loss 1.1744 (1.3539) Prec@1 71.094 (68.502) Prec@5 89.844 (86.973) Epoch: [80][7010/10010] Time 0.338 (0.327) Data 0.001 (0.001) Loss 1.3688 (1.3538) Prec@1 67.969 (68.504) Prec@5 86.719 (86.973) Epoch: [80][7020/10010] Time 0.324 (0.327) Data 0.000 (0.001) Loss 1.3107 (1.3538) Prec@1 71.875 (68.507) Prec@5 85.156 (86.974) Epoch: [80][7030/10010] Time 0.321 (0.327) Data 0.001 (0.001) Loss 1.3318 (1.3539) Prec@1 66.406 (68.504) Prec@5 88.281 (86.973) Epoch: [80][7040/10010] Time 0.325 (0.327) Data 0.001 (0.001) Loss 1.6472 (1.3540) Prec@1 64.062 (68.501) Prec@5 84.375 (86.971) Epoch: [80][7050/10010] Time 0.317 (0.327) Data 0.001 (0.001) Loss 1.2171 (1.3540) Prec@1 67.188 (68.502) Prec@5 88.281 (86.971) Epoch: [80][7060/10010] Time 0.315 (0.327) Data 0.001 (0.001) Loss 1.4415 (1.3540) Prec@1 67.969 (68.503) Prec@5 85.156 (86.970) Epoch: [80][7070/10010] Time 0.334 (0.327) Data 0.001 (0.001) Loss 1.4894 (1.3542) Prec@1 67.188 (68.500) Prec@5 85.156 (86.968) Epoch: [80][7080/10010] Time 0.341 (0.327) Data 0.000 (0.001) Loss 1.5840 (1.3543) Prec@1 64.062 (68.497) Prec@5 86.719 (86.967) Epoch: [80][7090/10010] Time 0.336 (0.327) Data 0.001 (0.001) Loss 1.1206 (1.3542) Prec@1 75.000 (68.500) Prec@5 89.844 (86.968) Epoch: [80][7100/10010] Time 0.317 (0.327) Data 0.000 (0.001) Loss 1.2624 (1.3542) Prec@1 69.531 (68.501) Prec@5 88.281 (86.967) Epoch: [80][7110/10010] Time 0.336 (0.327) Data 0.000 (0.001) Loss 1.4625 (1.3543) Prec@1 64.844 (68.500) Prec@5 88.281 (86.965) Epoch: [80][7120/10010] Time 0.318 (0.327) Data 0.000 (0.001) Loss 1.3548 (1.3543) Prec@1 71.875 (68.500) Prec@5 87.500 (86.964) Epoch: [80][7130/10010] Time 0.320 (0.327) Data 0.001 (0.001) Loss 1.4101 (1.3544) Prec@1 70.312 (68.499) Prec@5 86.719 (86.963) Epoch: [80][7140/10010] Time 0.331 (0.327) Data 0.000 (0.001) Loss 1.1699 (1.3544) Prec@1 75.000 (68.499) Prec@5 89.844 (86.965) Epoch: [80][7150/10010] Time 0.343 (0.327) Data 0.000 (0.001) Loss 1.2657 (1.3543) Prec@1 64.062 (68.497) Prec@5 85.938 (86.964) Epoch: [80][7160/10010] Time 0.320 (0.327) Data 0.001 (0.001) Loss 1.3165 (1.3544) Prec@1 67.969 (68.497) Prec@5 86.719 (86.963) Epoch: [80][7170/10010] Time 0.315 (0.327) Data 0.000 (0.001) Loss 1.0039 (1.3544) Prec@1 76.562 (68.496) Prec@5 91.406 (86.963) Epoch: [80][7180/10010] Time 0.323 (0.327) Data 0.000 (0.001) Loss 1.4100 (1.3544) Prec@1 71.875 (68.497) Prec@5 86.719 (86.962) Epoch: [80][7190/10010] Time 0.308 (0.327) Data 0.001 (0.001) Loss 1.1715 (1.3544) Prec@1 73.438 (68.498) Prec@5 89.844 (86.962) Epoch: [80][7200/10010] Time 0.331 (0.327) Data 0.000 (0.001) Loss 1.3904 (1.3545) Prec@1 67.188 (68.495) Prec@5 87.500 (86.960) Epoch: [80][7210/10010] Time 0.321 (0.327) Data 0.001 (0.001) Loss 1.3890 (1.3545) Prec@1 66.406 (68.497) Prec@5 85.938 (86.959) Epoch: [80][7220/10010] Time 0.317 (0.327) Data 0.001 (0.001) Loss 1.5082 (1.3545) Prec@1 66.406 (68.495) Prec@5 85.156 (86.959) Epoch: [80][7230/10010] Time 0.321 (0.327) Data 0.001 (0.001) Loss 1.6307 (1.3546) Prec@1 66.406 (68.491) Prec@5 82.031 (86.957) Epoch: [80][7240/10010] Time 0.335 (0.327) Data 0.001 (0.001) Loss 1.0388 (1.3545) Prec@1 74.219 (68.493) Prec@5 91.406 (86.957) Epoch: [80][7250/10010] Time 0.321 (0.327) Data 0.000 (0.001) Loss 1.4068 (1.3547) Prec@1 66.406 (68.491) Prec@5 85.938 (86.955) Epoch: [80][7260/10010] Time 0.322 (0.327) Data 0.001 (0.001) Loss 1.6383 (1.3547) Prec@1 65.625 (68.492) Prec@5 85.938 (86.955) /data/vision/torralba/deepscene/lib/anaconda2/lib/python2.7/site-packages/PIL/TiffImagePlugin.py:692: UserWarning: Possibly corrupt EXIF data. Expecting to read 1835008 bytes but only got 0. Skipping tag 0 "Skipping tag %s" % (size, len(data), tag)) Epoch: [80][7270/10010] Time 0.320 (0.327) Data 0.001 (0.001) Loss 1.2137 (1.3546) Prec@1 69.531 (68.493) Prec@5 89.844 (86.955) Epoch: [80][7280/10010] Time 0.316 (0.327) Data 0.001 (0.001) Loss 1.4007 (1.3546) Prec@1 67.188 (68.492) Prec@5 84.375 (86.956) Epoch: [80][7290/10010] Time 0.315 (0.327) Data 0.001 (0.001) Loss 1.3061 (1.3545) Prec@1 70.312 (68.495) Prec@5 88.281 (86.958) Epoch: [80][7300/10010] Time 0.333 (0.327) Data 0.001 (0.001) Loss 1.4957 (1.3545) Prec@1 66.406 (68.496) Prec@5 84.375 (86.956) Epoch: [80][7310/10010] Time 0.334 (0.327) Data 0.001 (0.001) Loss 1.1742 (1.3544) Prec@1 70.312 (68.495) Prec@5 90.625 (86.958) Epoch: [80][7320/10010] Time 0.338 (0.327) Data 0.001 (0.001) Loss 1.5112 (1.3546) Prec@1 69.531 (68.491) Prec@5 85.156 (86.955) Epoch: [80][7330/10010] Time 0.338 (0.327) Data 0.000 (0.001) Loss 1.9323 (1.3546) Prec@1 53.906 (68.490) Prec@5 78.125 (86.955) /data/vision/torralba/deepscene/lib/anaconda2/lib/python2.7/site-packages/PIL/TiffImagePlugin.py:692: UserWarning: Possibly corrupt EXIF data. Expecting to read 2555904 bytes but only got 0. Skipping tag 0 "Skipping tag %s" % (size, len(data), tag)) Epoch: [80][7340/10010] Time 0.316 (0.327) Data 0.001 (0.001) Loss 1.6866 (1.3547) Prec@1 55.469 (68.486) Prec@5 83.594 (86.954) Epoch: [80][7350/10010] Time 0.328 (0.327) Data 0.001 (0.001) Loss 1.3462 (1.3547) Prec@1 67.188 (68.484) Prec@5 88.281 (86.954) Epoch: [80][7360/10010] Time 0.331 (0.327) Data 0.000 (0.001) Loss 1.5034 (1.3548) Prec@1 64.062 (68.482) Prec@5 81.250 (86.951) Epoch: [80][7370/10010] Time 0.336 (0.327) Data 0.000 (0.001) Loss 0.9405 (1.3549) Prec@1 78.125 (68.482) Prec@5 93.750 (86.951) Epoch: [80][7380/10010] Time 0.327 (0.327) Data 0.001 (0.001) Loss 1.5133 (1.3549) Prec@1 62.500 (68.481) Prec@5 85.156 (86.951) Epoch: [80][7390/10010] Time 0.321 (0.327) Data 0.000 (0.001) Loss 1.3426 (1.3549) Prec@1 67.969 (68.481) Prec@5 88.281 (86.951) Epoch: [80][7400/10010] Time 0.330 (0.327) Data 0.001 (0.001) Loss 1.3511 (1.3549) Prec@1 63.281 (68.481) Prec@5 86.719 (86.949) Epoch: [80][7410/10010] Time 0.319 (0.327) Data 0.001 (0.001) Loss 1.4542 (1.3550) Prec@1 63.281 (68.479) Prec@5 85.156 (86.950) Epoch: [80][7420/10010] Time 0.322 (0.327) Data 0.001 (0.001) Loss 1.4023 (1.3549) Prec@1 64.844 (68.482) Prec@5 85.156 (86.950) Epoch: [80][7430/10010] Time 0.310 (0.327) Data 0.001 (0.001) Loss 1.4571 (1.3550) Prec@1 65.625 (68.481) Prec@5 84.375 (86.951) Epoch: [80][7440/10010] Time 0.326 (0.327) Data 0.001 (0.001) Loss 1.0522 (1.3549) Prec@1 78.125 (68.484) Prec@5 90.625 (86.951) Epoch: [80][7450/10010] Time 0.342 (0.327) Data 0.000 (0.001) Loss 1.3239 (1.3549) Prec@1 71.094 (68.483) Prec@5 85.938 (86.951) Epoch: [80][7460/10010] Time 0.337 (0.327) Data 0.000 (0.001) Loss 1.5499 (1.3549) Prec@1 66.406 (68.486) Prec@5 82.031 (86.950) Epoch: [80][7470/10010] Time 0.315 (0.327) Data 0.001 (0.001) Loss 1.1828 (1.3549) Prec@1 70.312 (68.486) Prec@5 88.281 (86.951) Epoch: [80][7480/10010] Time 0.338 (0.327) Data 0.000 (0.001) Loss 1.1575 (1.3547) Prec@1 73.438 (68.488) Prec@5 90.625 (86.953) Epoch: [80][7490/10010] Time 0.319 (0.327) Data 0.001 (0.001) Loss 1.2779 (1.3547) Prec@1 64.844 (68.489) Prec@5 86.719 (86.953) Epoch: [80][7500/10010] Time 0.324 (0.327) Data 0.001 (0.001) Loss 1.3635 (1.3547) Prec@1 67.969 (68.488) Prec@5 85.938 (86.952) Epoch: [80][7510/10010] Time 0.335 (0.327) Data 0.000 (0.001) Loss 1.4220 (1.3548) Prec@1 65.625 (68.486) Prec@5 87.500 (86.952) Epoch: [80][7520/10010] Time 0.316 (0.327) Data 0.000 (0.001) Loss 1.2583 (1.3548) Prec@1 75.000 (68.485) Prec@5 89.062 (86.951) Epoch: [80][7530/10010] Time 0.320 (0.327) Data 0.000 (0.001) Loss 1.5421 (1.3548) Prec@1 67.969 (68.487) Prec@5 85.938 (86.951) Epoch: [80][7540/10010] Time 0.323 (0.327) Data 0.000 (0.001) Loss 1.4488 (1.3549) Prec@1 65.625 (68.486) Prec@5 86.719 (86.949) Epoch: [80][7550/10010] Time 0.336 (0.327) Data 0.001 (0.001) Loss 1.4635 (1.3549) Prec@1 66.406 (68.486) Prec@5 85.938 (86.948) Epoch: [80][7560/10010] Time 0.339 (0.327) Data 0.001 (0.001) Loss 1.3459 (1.3549) Prec@1 70.312 (68.485) Prec@5 90.625 (86.949) Epoch: [80][7570/10010] Time 0.334 (0.327) Data 0.000 (0.001) Loss 1.3632 (1.3548) Prec@1 69.531 (68.488) Prec@5 86.719 (86.950) Epoch: [80][7580/10010] Time 0.318 (0.327) Data 0.001 (0.001) Loss 1.4037 (1.3547) Prec@1 66.406 (68.489) Prec@5 88.281 (86.951) Epoch: [80][7590/10010] Time 0.330 (0.327) Data 0.001 (0.001) Loss 1.5179 (1.3547) Prec@1 62.500 (68.488) Prec@5 79.688 (86.950) Epoch: [80][7600/10010] Time 0.321 (0.327) Data 0.000 (0.001) Loss 1.3857 (1.3547) Prec@1 64.062 (68.489) Prec@5 86.719 (86.950) Epoch: [80][7610/10010] Time 0.330 (0.327) Data 0.000 (0.001) Loss 1.0313 (1.3546) Prec@1 74.219 (68.490) Prec@5 92.969 (86.950) Epoch: [80][7620/10010] Time 0.324 (0.327) Data 0.000 (0.001) Loss 1.1877 (1.3546) Prec@1 76.562 (68.492) Prec@5 88.281 (86.951) Epoch: [80][7630/10010] Time 0.322 (0.327) Data 0.000 (0.001) Loss 1.5321 (1.3545) Prec@1 64.844 (68.495) Prec@5 84.375 (86.952) Epoch: [80][7640/10010] Time 0.330 (0.327) Data 0.000 (0.001) Loss 1.2060 (1.3543) Prec@1 75.000 (68.496) Prec@5 89.062 (86.955) Epoch: [80][7650/10010] Time 0.328 (0.327) Data 0.001 (0.001) Loss 1.5792 (1.3544) Prec@1 60.938 (68.496) Prec@5 82.812 (86.954) Epoch: [80][7660/10010] Time 0.339 (0.327) Data 0.000 (0.001) Loss 1.3673 (1.3544) Prec@1 68.750 (68.494) Prec@5 83.594 (86.954) Epoch: [80][7670/10010] Time 0.315 (0.327) Data 0.001 (0.001) Loss 1.6033 (1.3544) Prec@1 63.281 (68.495) Prec@5 84.375 (86.955) Epoch: [80][7680/10010] Time 0.316 (0.327) Data 0.001 (0.001) Loss 1.1703 (1.3543) Prec@1 71.875 (68.495) Prec@5 88.281 (86.956) Epoch: [80][7690/10010] Time 0.337 (0.327) Data 0.001 (0.001) Loss 1.2594 (1.3544) Prec@1 76.562 (68.495) Prec@5 86.719 (86.956) Epoch: [80][7700/10010] Time 0.315 (0.327) Data 0.001 (0.001) Loss 1.5446 (1.3545) Prec@1 64.062 (68.492) Prec@5 83.594 (86.956) Epoch: [80][7710/10010] Time 0.324 (0.327) Data 0.001 (0.001) Loss 1.0182 (1.3543) Prec@1 75.000 (68.493) Prec@5 92.188 (86.958) Epoch: [80][7720/10010] Time 0.333 (0.327) Data 0.001 (0.001) Loss 1.2344 (1.3544) Prec@1 74.219 (68.496) Prec@5 89.062 (86.958) Epoch: [80][7730/10010] Time 0.317 (0.327) Data 0.000 (0.001) Loss 1.1092 (1.3543) Prec@1 75.781 (68.498) Prec@5 89.844 (86.959) Epoch: [80][7740/10010] Time 0.332 (0.327) Data 0.001 (0.001) Loss 1.3341 (1.3542) Prec@1 67.188 (68.497) Prec@5 85.938 (86.959) Epoch: [80][7750/10010] Time 0.335 (0.327) Data 0.001 (0.001) Loss 1.4322 (1.3543) Prec@1 65.625 (68.496) Prec@5 90.625 (86.960) Epoch: [80][7760/10010] Time 0.339 (0.327) Data 0.000 (0.001) Loss 1.1591 (1.3543) Prec@1 71.094 (68.496) Prec@5 89.062 (86.959) Epoch: [80][7770/10010] Time 0.311 (0.327) Data 0.000 (0.001) Loss 1.3877 (1.3544) Prec@1 64.062 (68.494) Prec@5 85.156 (86.959) Epoch: [80][7780/10010] Time 0.338 (0.327) Data 0.001 (0.001) Loss 1.3829 (1.3544) Prec@1 63.281 (68.492) Prec@5 83.594 (86.957) Epoch: [80][7790/10010] Time 0.322 (0.327) Data 0.000 (0.001) Loss 1.5118 (1.3544) Prec@1 66.406 (68.491) Prec@5 87.500 (86.958) Epoch: [80][7800/10010] Time 0.316 (0.327) Data 0.000 (0.001) Loss 1.3768 (1.3545) Prec@1 67.188 (68.490) Prec@5 83.594 (86.955) Epoch: [80][7810/10010] Time 0.316 (0.327) Data 0.001 (0.001) Loss 1.4440 (1.3546) Prec@1 69.531 (68.486) Prec@5 83.594 (86.953) Epoch: [80][7820/10010] Time 0.335 (0.327) Data 0.001 (0.001) Loss 1.1207 (1.3545) Prec@1 75.781 (68.488) Prec@5 91.406 (86.953) Epoch: [80][7830/10010] Time 0.318 (0.327) Data 0.001 (0.001) Loss 1.5419 (1.3546) Prec@1 68.750 (68.487) Prec@5 82.031 (86.953) Epoch: [80][7840/10010] Time 0.330 (0.327) Data 0.000 (0.001) Loss 1.4525 (1.3545) Prec@1 61.719 (68.486) Prec@5 84.375 (86.954) Epoch: [80][7850/10010] Time 0.310 (0.327) Data 0.001 (0.001) Loss 1.3902 (1.3545) Prec@1 68.750 (68.485) Prec@5 91.406 (86.956) Epoch: [80][7860/10010] Time 0.332 (0.327) Data 0.001 (0.001) Loss 1.4211 (1.3545) Prec@1 62.500 (68.483) Prec@5 84.375 (86.955) Epoch: [80][7870/10010] Time 0.325 (0.327) Data 0.000 (0.001) Loss 1.0498 (1.3545) Prec@1 74.219 (68.483) Prec@5 92.188 (86.953) Epoch: [80][7880/10010] Time 0.328 (0.327) Data 0.001 (0.001) Loss 1.4471 (1.3545) Prec@1 66.406 (68.483) Prec@5 82.812 (86.954) Epoch: [80][7890/10010] Time 0.322 (0.327) Data 0.000 (0.001) Loss 1.3375 (1.3545) Prec@1 71.094 (68.483) Prec@5 84.375 (86.953) Epoch: [80][7900/10010] Time 0.317 (0.327) Data 0.001 (0.001) Loss 1.3400 (1.3546) Prec@1 68.750 (68.481) Prec@5 89.062 (86.952) Epoch: [80][7910/10010] Time 0.329 (0.327) Data 0.000 (0.001) Loss 1.4002 (1.3547) Prec@1 71.094 (68.480) Prec@5 87.500 (86.950) Epoch: [80][7920/10010] Time 0.323 (0.327) Data 0.000 (0.001) Loss 1.3550 (1.3547) Prec@1 67.969 (68.479) Prec@5 85.156 (86.950) Epoch: [80][7930/10010] Time 0.321 (0.327) Data 0.001 (0.001) Loss 1.4161 (1.3549) Prec@1 69.531 (68.476) Prec@5 88.281 (86.948) Epoch: [80][7940/10010] Time 0.330 (0.327) Data 0.001 (0.001) Loss 1.5897 (1.3549) Prec@1 65.625 (68.477) Prec@5 83.594 (86.947) Epoch: [80][7950/10010] Time 0.338 (0.327) Data 0.001 (0.001) Loss 1.4196 (1.3550) Prec@1 69.531 (68.478) Prec@5 85.938 (86.946) Epoch: [80][7960/10010] Time 0.322 (0.327) Data 0.001 (0.001) Loss 1.3082 (1.3550) Prec@1 63.281 (68.476) Prec@5 87.500 (86.946) Epoch: [80][7970/10010] Time 0.326 (0.327) Data 0.000 (0.001) Loss 1.2765 (1.3551) Prec@1 70.312 (68.475) Prec@5 85.938 (86.945) Epoch: [80][7980/10010] Time 0.320 (0.327) Data 0.000 (0.001) Loss 1.3519 (1.3551) Prec@1 69.531 (68.475) Prec@5 87.500 (86.945) Epoch: [80][7990/10010] Time 0.329 (0.327) Data 0.000 (0.001) Loss 1.2607 (1.3550) Prec@1 71.875 (68.477) Prec@5 89.062 (86.946) Epoch: [80][8000/10010] Time 0.339 (0.327) Data 0.001 (0.001) Loss 1.2707 (1.3551) Prec@1 66.406 (68.474) Prec@5 86.719 (86.945) Epoch: [80][8010/10010] Time 0.323 (0.327) Data 0.001 (0.001) Loss 1.1963 (1.3551) Prec@1 73.438 (68.476) Prec@5 89.062 (86.946) Epoch: [80][8020/10010] Time 0.314 (0.327) Data 0.000 (0.001) Loss 1.2580 (1.3550) Prec@1 68.750 (68.476) Prec@5 85.156 (86.946) Epoch: [80][8030/10010] Time 0.327 (0.327) Data 0.001 (0.001) Loss 1.0768 (1.3549) Prec@1 76.562 (68.480) Prec@5 87.500 (86.947) Epoch: [80][8040/10010] Time 0.341 (0.327) Data 0.001 (0.001) Loss 1.2116 (1.3550) Prec@1 75.000 (68.478) Prec@5 89.844 (86.946) Epoch: [80][8050/10010] Time 0.337 (0.327) Data 0.001 (0.001) Loss 1.0555 (1.3550) Prec@1 75.000 (68.477) Prec@5 94.531 (86.946) Epoch: [80][8060/10010] Time 0.340 (0.327) Data 0.000 (0.001) Loss 1.1588 (1.3550) Prec@1 77.344 (68.480) Prec@5 85.938 (86.946) Epoch: [80][8070/10010] Time 0.321 (0.327) Data 0.000 (0.001) Loss 1.7876 (1.3551) Prec@1 64.062 (68.479) Prec@5 79.688 (86.944) Epoch: [80][8080/10010] Time 0.319 (0.327) Data 0.001 (0.001) Loss 1.5796 (1.3552) Prec@1 65.625 (68.479) Prec@5 84.375 (86.942) Epoch: [80][8090/10010] Time 0.330 (0.327) Data 0.001 (0.001) Loss 1.3350 (1.3551) Prec@1 67.969 (68.480) Prec@5 88.281 (86.944) Epoch: [80][8100/10010] Time 0.343 (0.327) Data 0.000 (0.001) Loss 1.4343 (1.3552) Prec@1 64.062 (68.476) Prec@5 83.594 (86.942) Epoch: [80][8110/10010] Time 0.316 (0.327) Data 0.001 (0.001) Loss 1.3428 (1.3552) Prec@1 70.312 (68.475) Prec@5 88.281 (86.943) Epoch: [80][8120/10010] Time 0.316 (0.327) Data 0.001 (0.001) Loss 1.2384 (1.3552) Prec@1 75.781 (68.474) Prec@5 88.281 (86.943) Epoch: [80][8130/10010] Time 0.338 (0.327) Data 0.000 (0.001) Loss 1.0794 (1.3553) Prec@1 75.781 (68.476) Prec@5 91.406 (86.943) Epoch: [80][8140/10010] Time 0.341 (0.327) Data 0.000 (0.001) Loss 1.2657 (1.3552) Prec@1 68.750 (68.475) Prec@5 90.625 (86.943) Epoch: [80][8150/10010] Time 0.317 (0.327) Data 0.001 (0.001) Loss 1.2757 (1.3553) Prec@1 68.750 (68.475) Prec@5 89.844 (86.942) Epoch: [80][8160/10010] Time 0.332 (0.327) Data 0.001 (0.001) Loss 1.3675 (1.3552) Prec@1 67.188 (68.476) Prec@5 89.062 (86.945) Epoch: [80][8170/10010] Time 0.334 (0.327) Data 0.001 (0.001) Loss 1.0969 (1.3552) Prec@1 70.312 (68.476) Prec@5 90.625 (86.945) Epoch: [80][8180/10010] Time 0.313 (0.327) Data 0.000 (0.001) Loss 1.1404 (1.3552) Prec@1 71.875 (68.477) Prec@5 92.188 (86.946) Epoch: [80][8190/10010] Time 0.338 (0.327) Data 0.001 (0.001) Loss 1.6792 (1.3553) Prec@1 64.844 (68.476) Prec@5 81.250 (86.944) Epoch: [80][8200/10010] Time 0.330 (0.327) Data 0.001 (0.001) Loss 1.2225 (1.3552) Prec@1 73.438 (68.475) Prec@5 89.062 (86.946) Epoch: [80][8210/10010] Time 0.338 (0.327) Data 0.001 (0.001) Loss 1.2863 (1.3553) Prec@1 73.438 (68.473) Prec@5 85.938 (86.947) Epoch: [80][8220/10010] Time 0.341 (0.327) Data 0.000 (0.001) Loss 1.4160 (1.3553) Prec@1 67.188 (68.473) Prec@5 85.938 (86.947) Epoch: [80][8230/10010] Time 0.332 (0.327) Data 0.000 (0.001) Loss 1.7124 (1.3555) Prec@1 57.031 (68.471) Prec@5 82.812 (86.945) Epoch: [80][8240/10010] Time 0.343 (0.327) Data 0.000 (0.001) Loss 1.1061 (1.3554) Prec@1 71.094 (68.472) Prec@5 92.188 (86.945) Epoch: [80][8250/10010] Time 0.323 (0.327) Data 0.000 (0.001) Loss 1.3837 (1.3555) Prec@1 71.875 (68.471) Prec@5 83.594 (86.943) Epoch: [80][8260/10010] Time 0.335 (0.327) Data 0.000 (0.001) Loss 1.2455 (1.3555) Prec@1 68.750 (68.471) Prec@5 89.844 (86.944) Epoch: [80][8270/10010] Time 0.335 (0.327) Data 0.001 (0.001) Loss 1.3527 (1.3555) Prec@1 67.969 (68.470) Prec@5 89.062 (86.944) Epoch: [80][8280/10010] Time 0.335 (0.327) Data 0.001 (0.001) Loss 1.7312 (1.3557) Prec@1 58.594 (68.466) Prec@5 84.375 (86.943) Epoch: [80][8290/10010] Time 0.333 (0.327) Data 0.001 (0.001) Loss 1.3646 (1.3557) Prec@1 71.875 (68.465) Prec@5 87.500 (86.943) Epoch: [80][8300/10010] Time 0.332 (0.327) Data 0.001 (0.001) Loss 1.3295 (1.3557) Prec@1 66.406 (68.465) Prec@5 84.375 (86.942) Epoch: [80][8310/10010] Time 0.337 (0.327) Data 0.000 (0.001) Loss 1.3574 (1.3557) Prec@1 65.625 (68.465) Prec@5 87.500 (86.942) Epoch: [80][8320/10010] Time 0.325 (0.328) Data 0.001 (0.001) Loss 1.1950 (1.3556) Prec@1 73.438 (68.467) Prec@5 90.625 (86.944) Epoch: [80][8330/10010] Time 0.319 (0.327) Data 0.001 (0.001) Loss 1.6146 (1.3556) Prec@1 67.969 (68.467) Prec@5 81.250 (86.944) Epoch: [80][8340/10010] Time 0.332 (0.328) Data 0.001 (0.001) Loss 1.5059 (1.3556) Prec@1 71.094 (68.467) Prec@5 82.812 (86.944) Epoch: [80][8350/10010] Time 0.314 (0.328) Data 0.001 (0.001) Loss 1.2864 (1.3556) Prec@1 73.438 (68.468) Prec@5 89.062 (86.944) Epoch: [80][8360/10010] Time 0.319 (0.327) Data 0.001 (0.001) Loss 1.1664 (1.3555) Prec@1 73.438 (68.470) Prec@5 89.844 (86.945) Epoch: [80][8370/10010] Time 0.316 (0.327) Data 0.001 (0.001) Loss 1.2900 (1.3554) Prec@1 71.094 (68.471) Prec@5 87.500 (86.947) Epoch: [80][8380/10010] Time 0.317 (0.327) Data 0.000 (0.001) Loss 1.9136 (1.3556) Prec@1 60.156 (68.468) Prec@5 78.906 (86.944) Epoch: [80][8390/10010] Time 0.324 (0.327) Data 0.001 (0.001) Loss 1.5339 (1.3556) Prec@1 65.625 (68.468) Prec@5 85.938 (86.944) Epoch: [80][8400/10010] Time 0.333 (0.327) Data 0.000 (0.001) Loss 1.4373 (1.3557) Prec@1 65.625 (68.464) Prec@5 89.062 (86.943) Epoch: [80][8410/10010] Time 0.322 (0.327) Data 0.001 (0.001) Loss 1.2131 (1.3557) Prec@1 71.875 (68.465) Prec@5 86.719 (86.944) Epoch: [80][8420/10010] Time 0.316 (0.327) Data 0.001 (0.001) Loss 1.6771 (1.3556) Prec@1 64.844 (68.466) Prec@5 79.688 (86.944) Epoch: [80][8430/10010] Time 0.324 (0.327) Data 0.000 (0.001) Loss 1.3468 (1.3557) Prec@1 64.062 (68.464) Prec@5 85.938 (86.944) Epoch: [80][8440/10010] Time 0.338 (0.327) Data 0.001 (0.001) Loss 1.5879 (1.3557) Prec@1 65.625 (68.461) Prec@5 84.375 (86.943) Epoch: [80][8450/10010] Time 0.333 (0.327) Data 0.001 (0.001) Loss 1.1660 (1.3558) Prec@1 72.656 (68.459) Prec@5 90.625 (86.943) Epoch: [80][8460/10010] Time 0.338 (0.327) Data 0.001 (0.001) Loss 1.3586 (1.3558) Prec@1 70.312 (68.458) Prec@5 86.719 (86.942) Epoch: [80][8470/10010] Time 0.315 (0.327) Data 0.000 (0.001) Loss 1.2894 (1.3558) Prec@1 72.656 (68.460) Prec@5 89.062 (86.943) Epoch: [80][8480/10010] Time 0.334 (0.327) Data 0.000 (0.001) Loss 1.3766 (1.3557) Prec@1 66.406 (68.462) Prec@5 87.500 (86.945) Epoch: [80][8490/10010] Time 0.334 (0.327) Data 0.000 (0.001) Loss 1.5182 (1.3557) Prec@1 67.188 (68.461) Prec@5 86.719 (86.945) Epoch: [80][8500/10010] Time 0.335 (0.327) Data 0.001 (0.001) Loss 1.2984 (1.3557) Prec@1 68.750 (68.460) Prec@5 88.281 (86.946) Epoch: [80][8510/10010] Time 0.320 (0.327) Data 0.001 (0.001) Loss 1.3368 (1.3557) Prec@1 65.625 (68.460) Prec@5 87.500 (86.946) Epoch: [80][8520/10010] Time 0.326 (0.327) Data 0.000 (0.001) Loss 1.1439 (1.3557) Prec@1 71.875 (68.459) Prec@5 88.281 (86.947) Epoch: [80][8530/10010] Time 0.315 (0.327) Data 0.001 (0.001) Loss 1.3418 (1.3558) Prec@1 67.188 (68.459) Prec@5 87.500 (86.946) Epoch: [80][8540/10010] Time 0.324 (0.327) Data 0.001 (0.001) Loss 1.1021 (1.3558) Prec@1 68.750 (68.459) Prec@5 94.531 (86.946) Epoch: [80][8550/10010] Time 0.322 (0.327) Data 0.000 (0.001) Loss 1.3152 (1.3557) Prec@1 70.312 (68.460) Prec@5 87.500 (86.946) Epoch: [80][8560/10010] Time 0.321 (0.327) Data 0.000 (0.001) Loss 1.4149 (1.3557) Prec@1 70.312 (68.462) Prec@5 86.719 (86.946) Epoch: [80][8570/10010] Time 0.324 (0.327) Data 0.001 (0.001) Loss 1.0249 (1.3556) Prec@1 75.781 (68.464) Prec@5 94.531 (86.948) Epoch: [80][8580/10010] Time 0.336 (0.327) Data 0.001 (0.001) Loss 1.2270 (1.3557) Prec@1 72.656 (68.464) Prec@5 90.625 (86.947) Epoch: [80][8590/10010] Time 0.328 (0.327) Data 0.001 (0.001) Loss 1.2450 (1.3557) Prec@1 71.094 (68.463) Prec@5 88.281 (86.947) Epoch: [80][8600/10010] Time 0.332 (0.327) Data 0.000 (0.001) Loss 1.3986 (1.3557) Prec@1 70.312 (68.461) Prec@5 87.500 (86.946) Epoch: [80][8610/10010] Time 0.326 (0.327) Data 0.001 (0.001) Loss 1.1822 (1.3556) Prec@1 71.094 (68.463) Prec@5 90.625 (86.949) Epoch: [80][8620/10010] Time 0.323 (0.327) Data 0.001 (0.001) Loss 1.0603 (1.3556) Prec@1 71.875 (68.463) Prec@5 93.750 (86.950) Epoch: [80][8630/10010] Time 0.327 (0.327) Data 0.001 (0.001) Loss 1.3507 (1.3556) Prec@1 67.969 (68.463) Prec@5 86.719 (86.949) Epoch: [80][8640/10010] Time 0.320 (0.327) Data 0.000 (0.001) Loss 1.1428 (1.3555) Prec@1 74.219 (68.466) Prec@5 90.625 (86.950) Epoch: [80][8650/10010] Time 0.320 (0.327) Data 0.000 (0.001) Loss 1.3680 (1.3555) Prec@1 70.312 (68.467) Prec@5 85.938 (86.951) Epoch: [80][8660/10010] Time 0.322 (0.327) Data 0.001 (0.001) Loss 1.1530 (1.3554) Prec@1 70.312 (68.468) Prec@5 91.406 (86.952) Epoch: [80][8670/10010] Time 0.318 (0.327) Data 0.001 (0.001) Loss 1.5394 (1.3555) Prec@1 65.625 (68.469) Prec@5 85.938 (86.952) Epoch: [80][8680/10010] Time 0.321 (0.327) Data 0.001 (0.001) Loss 1.2210 (1.3554) Prec@1 71.094 (68.469) Prec@5 90.625 (86.952) Epoch: [80][8690/10010] Time 0.334 (0.327) Data 0.000 (0.001) Loss 1.5679 (1.3554) Prec@1 64.844 (68.468) Prec@5 81.250 (86.952) Epoch: [80][8700/10010] Time 0.319 (0.327) Data 0.000 (0.001) Loss 1.5249 (1.3554) Prec@1 65.625 (68.468) Prec@5 85.156 (86.952) Epoch: [80][8710/10010] Time 0.339 (0.327) Data 0.001 (0.001) Loss 1.4442 (1.3554) Prec@1 68.750 (68.469) Prec@5 86.719 (86.952) Epoch: [80][8720/10010] Time 0.339 (0.327) Data 0.001 (0.001) Loss 1.2450 (1.3554) Prec@1 69.531 (68.469) Prec@5 85.938 (86.952) Epoch: [80][8730/10010] Time 0.336 (0.327) Data 0.001 (0.001) Loss 1.3146 (1.3554) Prec@1 71.094 (68.470) Prec@5 89.844 (86.952) Epoch: [80][8740/10010] Time 0.324 (0.327) Data 0.001 (0.001) Loss 0.9671 (1.3555) Prec@1 77.344 (68.470) Prec@5 93.750 (86.952) Epoch: [80][8750/10010] Time 0.321 (0.327) Data 0.000 (0.001) Loss 1.4063 (1.3555) Prec@1 63.281 (68.470) Prec@5 86.719 (86.951) Epoch: [80][8760/10010] Time 0.320 (0.327) Data 0.001 (0.001) Loss 1.6132 (1.3556) Prec@1 60.938 (68.468) Prec@5 81.250 (86.949) Epoch: [80][8770/10010] Time 0.337 (0.327) Data 0.000 (0.001) Loss 1.6791 (1.3556) Prec@1 64.844 (68.469) Prec@5 81.250 (86.948) Epoch: [80][8780/10010] Time 0.318 (0.327) Data 0.001 (0.001) Loss 1.1606 (1.3555) Prec@1 71.875 (68.470) Prec@5 89.844 (86.949) Epoch: [80][8790/10010] Time 0.337 (0.327) Data 0.001 (0.001) Loss 1.4127 (1.3555) Prec@1 64.062 (68.473) Prec@5 81.250 (86.950) Epoch: [80][8800/10010] Time 0.327 (0.327) Data 0.000 (0.001) Loss 1.5204 (1.3555) Prec@1 64.844 (68.472) Prec@5 83.594 (86.949) Epoch: [80][8810/10010] Time 0.340 (0.327) Data 0.000 (0.001) Loss 1.4602 (1.3555) Prec@1 64.844 (68.471) Prec@5 90.625 (86.949) Epoch: [80][8820/10010] Time 0.340 (0.327) Data 0.000 (0.001) Loss 1.6618 (1.3556) Prec@1 59.375 (68.472) Prec@5 82.031 (86.948) Epoch: [80][8830/10010] Time 0.316 (0.327) Data 0.000 (0.001) Loss 1.2749 (1.3556) Prec@1 67.969 (68.469) Prec@5 91.406 (86.948) Epoch: [80][8840/10010] Time 0.341 (0.327) Data 0.000 (0.001) Loss 1.4362 (1.3556) Prec@1 64.062 (68.468) Prec@5 84.375 (86.950) Epoch: [80][8850/10010] Time 0.316 (0.327) Data 0.001 (0.001) Loss 1.5980 (1.3556) Prec@1 60.938 (68.469) Prec@5 82.812 (86.949) Epoch: [80][8860/10010] Time 0.319 (0.327) Data 0.001 (0.001) Loss 1.5028 (1.3557) Prec@1 66.406 (68.467) Prec@5 85.156 (86.948) Epoch: [80][8870/10010] Time 0.338 (0.327) Data 0.000 (0.001) Loss 1.2275 (1.3557) Prec@1 68.750 (68.467) Prec@5 88.281 (86.949) Epoch: [80][8880/10010] Time 0.320 (0.327) Data 0.001 (0.001) Loss 1.5606 (1.3557) Prec@1 63.281 (68.466) Prec@5 85.938 (86.948) Epoch: [80][8890/10010] Time 0.336 (0.327) Data 0.001 (0.001) Loss 1.1886 (1.3557) Prec@1 71.094 (68.466) Prec@5 87.500 (86.948) Epoch: [80][8900/10010] Time 0.341 (0.327) Data 0.000 (0.001) Loss 1.0664 (1.3556) Prec@1 72.656 (68.468) Prec@5 92.969 (86.949) Epoch: [80][8910/10010] Time 0.344 (0.327) Data 0.001 (0.001) Loss 1.3892 (1.3556) Prec@1 67.188 (68.468) Prec@5 83.594 (86.949) Epoch: [80][8920/10010] Time 0.323 (0.327) Data 0.000 (0.001) Loss 1.4220 (1.3556) Prec@1 68.750 (68.467) Prec@5 87.500 (86.949) Epoch: [80][8930/10010] Time 0.329 (0.327) Data 0.001 (0.001) Loss 1.5056 (1.3557) Prec@1 67.969 (68.468) Prec@5 82.812 (86.947) Epoch: [80][8940/10010] Time 0.335 (0.327) Data 0.000 (0.001) Loss 1.3140 (1.3556) Prec@1 68.750 (68.470) Prec@5 87.500 (86.948) Epoch: [80][8950/10010] Time 0.340 (0.327) Data 0.001 (0.001) Loss 1.1395 (1.3556) Prec@1 70.312 (68.471) Prec@5 92.969 (86.949) Epoch: [80][8960/10010] Time 0.322 (0.327) Data 0.000 (0.001) Loss 1.2793 (1.3554) Prec@1 70.312 (68.474) Prec@5 85.938 (86.950) Epoch: [80][8970/10010] Time 0.320 (0.327) Data 0.001 (0.001) Loss 1.3607 (1.3554) Prec@1 69.531 (68.475) Prec@5 84.375 (86.951) Epoch: [80][8980/10010] Time 0.333 (0.327) Data 0.001 (0.001) Loss 1.4498 (1.3555) Prec@1 62.500 (68.473) Prec@5 88.281 (86.949) Epoch: [80][8990/10010] Time 0.327 (0.327) Data 0.000 (0.001) Loss 1.5217 (1.3555) Prec@1 62.500 (68.472) Prec@5 83.594 (86.948) Epoch: [80][9000/10010] Time 0.336 (0.327) Data 0.000 (0.001) Loss 1.3662 (1.3555) Prec@1 70.312 (68.471) Prec@5 87.500 (86.948) Epoch: [80][9010/10010] Time 0.318 (0.327) Data 0.000 (0.001) Loss 1.2787 (1.3555) Prec@1 69.531 (68.471) Prec@5 86.719 (86.949) Epoch: [80][9020/10010] Time 0.317 (0.327) Data 0.000 (0.001) Loss 1.5431 (1.3554) Prec@1 66.406 (68.473) Prec@5 88.281 (86.951) Epoch: [80][9030/10010] Time 0.336 (0.327) Data 0.000 (0.001) Loss 1.2173 (1.3554) Prec@1 68.750 (68.473) Prec@5 89.844 (86.952) Epoch: [80][9040/10010] Time 0.338 (0.327) Data 0.000 (0.001) Loss 1.2483 (1.3554) Prec@1 72.656 (68.472) Prec@5 88.281 (86.952) Epoch: [80][9050/10010] Time 0.316 (0.327) Data 0.000 (0.001) Loss 1.3103 (1.3555) Prec@1 70.312 (68.471) Prec@5 88.281 (86.951) Epoch: [80][9060/10010] Time 0.341 (0.327) Data 0.001 (0.001) Loss 1.0153 (1.3556) Prec@1 77.344 (68.469) Prec@5 93.750 (86.951) Epoch: [80][9070/10010] Time 0.333 (0.327) Data 0.001 (0.001) Loss 1.1998 (1.3556) Prec@1 67.188 (68.468) Prec@5 91.406 (86.950) Epoch: [80][9080/10010] Time 0.337 (0.327) Data 0.000 (0.001) Loss 1.5329 (1.3556) Prec@1 64.062 (68.469) Prec@5 83.594 (86.951) Epoch: [80][9090/10010] Time 0.330 (0.327) Data 0.000 (0.001) Loss 1.6472 (1.3556) Prec@1 63.281 (68.469) Prec@5 83.594 (86.952) Epoch: [80][9100/10010] Time 0.325 (0.327) Data 0.001 (0.001) Loss 1.2138 (1.3556) Prec@1 70.312 (68.469) Prec@5 89.844 (86.952) Epoch: [80][9110/10010] Time 0.322 (0.327) Data 0.000 (0.001) Loss 1.2967 (1.3556) Prec@1 70.312 (68.469) Prec@5 90.625 (86.953) Epoch: [80][9120/10010] Time 0.337 (0.327) Data 0.000 (0.001) Loss 1.1793 (1.3555) Prec@1 75.000 (68.471) Prec@5 90.625 (86.955) Epoch: [80][9130/10010] Time 0.340 (0.327) Data 0.000 (0.001) Loss 1.2878 (1.3554) Prec@1 71.094 (68.471) Prec@5 85.156 (86.956) Epoch: [80][9140/10010] Time 0.332 (0.327) Data 0.001 (0.001) Loss 1.3286 (1.3554) Prec@1 67.969 (68.472) Prec@5 91.406 (86.956) Epoch: [80][9150/10010] Time 0.332 (0.327) Data 0.001 (0.001) Loss 1.3443 (1.3555) Prec@1 71.875 (68.470) Prec@5 85.156 (86.955) Epoch: [80][9160/10010] Time 0.317 (0.327) Data 0.000 (0.001) Loss 1.1415 (1.3556) Prec@1 69.531 (68.468) Prec@5 89.062 (86.954) Epoch: [80][9170/10010] Time 0.326 (0.327) Data 0.000 (0.001) Loss 1.4955 (1.3557) Prec@1 66.406 (68.466) Prec@5 84.375 (86.952) Epoch: [80][9180/10010] Time 0.319 (0.327) Data 0.000 (0.001) Loss 1.8171 (1.3556) Prec@1 57.812 (68.465) Prec@5 80.469 (86.952) Epoch: [80][9190/10010] Time 0.328 (0.327) Data 0.000 (0.001) Loss 1.5474 (1.3557) Prec@1 67.969 (68.464) Prec@5 85.156 (86.953) Epoch: [80][9200/10010] Time 0.327 (0.327) Data 0.001 (0.001) Loss 1.4954 (1.3557) Prec@1 64.062 (68.462) Prec@5 86.719 (86.952) Epoch: [80][9210/10010] Time 0.332 (0.327) Data 0.001 (0.001) Loss 1.2278 (1.3558) Prec@1 70.312 (68.461) Prec@5 88.281 (86.951) Epoch: [80][9220/10010] Time 0.314 (0.327) Data 0.000 (0.001) Loss 1.2006 (1.3558) Prec@1 70.312 (68.460) Prec@5 91.406 (86.952) Epoch: [80][9230/10010] Time 0.341 (0.327) Data 0.001 (0.001) Loss 1.2747 (1.3558) Prec@1 65.625 (68.461) Prec@5 89.062 (86.952) Epoch: [80][9240/10010] Time 0.317 (0.327) Data 0.001 (0.001) Loss 1.4069 (1.3557) Prec@1 70.312 (68.463) Prec@5 83.594 (86.953) Epoch: [80][9250/10010] Time 0.334 (0.327) Data 0.001 (0.001) Loss 1.2962 (1.3556) Prec@1 67.969 (68.464) Prec@5 89.062 (86.955) Epoch: [80][9260/10010] Time 0.322 (0.327) Data 0.000 (0.001) Loss 1.2192 (1.3556) Prec@1 71.875 (68.464) Prec@5 85.156 (86.955) Epoch: [80][9270/10010] Time 0.331 (0.327) Data 0.001 (0.001) Loss 1.5924 (1.3556) Prec@1 62.500 (68.464) Prec@5 82.031 (86.956) Epoch: [80][9280/10010] Time 0.335 (0.327) Data 0.001 (0.001) Loss 1.3288 (1.3555) Prec@1 67.969 (68.464) Prec@5 89.844 (86.956) Epoch: [80][9290/10010] Time 0.318 (0.327) Data 0.001 (0.001) Loss 1.4758 (1.3556) Prec@1 67.188 (68.463) Prec@5 83.594 (86.955) Epoch: [80][9300/10010] Time 0.326 (0.327) Data 0.000 (0.001) Loss 1.3745 (1.3555) Prec@1 72.656 (68.464) Prec@5 89.062 (86.956) Epoch: [80][9310/10010] Time 0.338 (0.327) Data 0.001 (0.001) Loss 1.6003 (1.3556) Prec@1 64.844 (68.463) Prec@5 82.031 (86.954) Epoch: [80][9320/10010] Time 0.315 (0.327) Data 0.000 (0.001) Loss 1.1270 (1.3556) Prec@1 71.094 (68.463) Prec@5 91.406 (86.954) Epoch: [80][9330/10010] Time 0.315 (0.327) Data 0.001 (0.001) Loss 1.3362 (1.3556) Prec@1 67.969 (68.463) Prec@5 87.500 (86.956) Epoch: [80][9340/10010] Time 0.319 (0.327) Data 0.000 (0.001) Loss 1.2824 (1.3556) Prec@1 72.656 (68.462) Prec@5 87.500 (86.955) Epoch: [80][9350/10010] Time 0.331 (0.327) Data 0.000 (0.001) Loss 1.3454 (1.3556) Prec@1 69.531 (68.463) Prec@5 87.500 (86.955) Epoch: [80][9360/10010] Time 0.324 (0.327) Data 0.000 (0.001) Loss 1.4297 (1.3557) Prec@1 67.969 (68.461) Prec@5 83.594 (86.953) Epoch: [80][9370/10010] Time 0.328 (0.327) Data 0.000 (0.001) Loss 1.7039 (1.3557) Prec@1 61.719 (68.462) Prec@5 82.031 (86.952) Epoch: [80][9380/10010] Time 0.340 (0.327) Data 0.001 (0.001) Loss 1.4070 (1.3557) Prec@1 70.312 (68.464) Prec@5 84.375 (86.953) Epoch: [80][9390/10010] Time 0.323 (0.327) Data 0.000 (0.001) Loss 1.3062 (1.3557) Prec@1 68.750 (68.464) Prec@5 85.938 (86.953) Epoch: [80][9400/10010] Time 0.332 (0.327) Data 0.001 (0.001) Loss 1.5612 (1.3557) Prec@1 66.406 (68.462) Prec@5 83.594 (86.952) Epoch: [80][9410/10010] Time 0.324 (0.327) Data 0.000 (0.001) Loss 1.3798 (1.3557) Prec@1 68.750 (68.461) Prec@5 85.156 (86.952) Epoch: [80][9420/10010] Time 0.332 (0.327) Data 0.000 (0.001) Loss 1.4792 (1.3557) Prec@1 69.531 (68.460) Prec@5 82.812 (86.952) Epoch: [80][9430/10010] Time 0.335 (0.327) Data 0.001 (0.001) Loss 1.2521 (1.3557) Prec@1 68.750 (68.459) Prec@5 88.281 (86.952) Epoch: [80][9440/10010] Time 0.343 (0.327) Data 0.001 (0.001) Loss 1.3830 (1.3557) Prec@1 74.219 (68.461) Prec@5 85.938 (86.953) Epoch: [80][9450/10010] Time 0.341 (0.327) Data 0.000 (0.001) Loss 1.5079 (1.3556) Prec@1 65.625 (68.461) Prec@5 82.812 (86.954) Epoch: [80][9460/10010] Time 0.321 (0.327) Data 0.000 (0.001) Loss 1.0812 (1.3557) Prec@1 76.562 (68.461) Prec@5 91.406 (86.954) Epoch: [80][9470/10010] Time 0.335 (0.327) Data 0.001 (0.001) Loss 1.2427 (1.3558) Prec@1 69.531 (68.459) Prec@5 89.062 (86.952) Epoch: [80][9480/10010] Time 0.332 (0.327) Data 0.001 (0.001) Loss 1.2988 (1.3559) Prec@1 68.750 (68.457) Prec@5 86.719 (86.951) Epoch: [80][9490/10010] Time 0.334 (0.327) Data 0.001 (0.001) Loss 1.4930 (1.3559) Prec@1 68.750 (68.456) Prec@5 84.375 (86.950) Epoch: [80][9500/10010] Time 0.340 (0.327) Data 0.001 (0.001) Loss 1.4053 (1.3558) Prec@1 67.188 (68.457) Prec@5 85.938 (86.950) Epoch: [80][9510/10010] Time 0.319 (0.328) Data 0.001 (0.001) Loss 1.4514 (1.3560) Prec@1 67.969 (68.455) Prec@5 84.375 (86.949) Epoch: [80][9520/10010] Time 0.324 (0.327) Data 0.000 (0.001) Loss 1.4835 (1.3560) Prec@1 66.406 (68.455) Prec@5 85.938 (86.948) Epoch: [80][9530/10010] Time 0.335 (0.328) Data 0.000 (0.001) Loss 1.2842 (1.3561) Prec@1 68.750 (68.454) Prec@5 87.500 (86.946) Epoch: [80][9540/10010] Time 0.312 (0.327) Data 0.001 (0.001) Loss 1.3684 (1.3560) Prec@1 67.188 (68.455) Prec@5 85.938 (86.946) Epoch: [80][9550/10010] Time 0.336 (0.328) Data 0.001 (0.001) Loss 1.3175 (1.3559) Prec@1 67.188 (68.457) Prec@5 86.719 (86.947) Epoch: [80][9560/10010] Time 0.336 (0.328) Data 0.000 (0.001) Loss 1.6957 (1.3560) Prec@1 60.938 (68.456) Prec@5 81.250 (86.946) Epoch: [80][9570/10010] Time 0.316 (0.328) Data 0.001 (0.001) Loss 1.4473 (1.3561) Prec@1 65.625 (68.454) Prec@5 82.812 (86.944) Epoch: [80][9580/10010] Time 0.340 (0.328) Data 0.000 (0.001) Loss 1.2757 (1.3561) Prec@1 71.094 (68.455) Prec@5 89.844 (86.944) /data/vision/torralba/deepscene/lib/anaconda2/lib/python2.7/site-packages/PIL/TiffImagePlugin.py:709: UserWarning: Corrupt EXIF data. Expecting to read 4 bytes but only got 0. warnings.warn(str(msg)) Epoch: [80][9590/10010] Time 0.324 (0.328) Data 0.001 (0.001) Loss 1.3087 (1.3561) Prec@1 70.312 (68.456) Prec@5 89.844 (86.944) Epoch: [80][9600/10010] Time 0.336 (0.328) Data 0.001 (0.001) Loss 1.4059 (1.3561) Prec@1 65.625 (68.454) Prec@5 84.375 (86.944) Epoch: [80][9610/10010] Time 0.333 (0.328) Data 0.001 (0.001) Loss 1.2825 (1.3561) Prec@1 70.312 (68.454) Prec@5 85.938 (86.943) Epoch: [80][9620/10010] Time 0.315 (0.328) Data 0.000 (0.001) Loss 1.7423 (1.3562) Prec@1 64.844 (68.454) Prec@5 80.469 (86.943) Epoch: [80][9630/10010] Time 0.338 (0.328) Data 0.001 (0.001) Loss 1.1113 (1.3561) Prec@1 75.000 (68.455) Prec@5 88.281 (86.945) Epoch: [80][9640/10010] Time 0.336 (0.328) Data 0.001 (0.001) Loss 1.1039 (1.3561) Prec@1 72.656 (68.455) Prec@5 92.969 (86.946) Epoch: [80][9650/10010] Time 0.334 (0.328) Data 0.001 (0.001) Loss 1.3603 (1.3561) Prec@1 70.312 (68.455) Prec@5 88.281 (86.944) Epoch: [80][9660/10010] Time 0.333 (0.328) Data 0.001 (0.001) Loss 1.3027 (1.3561) Prec@1 66.406 (68.455) Prec@5 85.938 (86.944) Epoch: [80][9670/10010] Time 0.320 (0.328) Data 0.001 (0.001) Loss 1.4766 (1.3562) Prec@1 69.531 (68.453) Prec@5 84.375 (86.943) Epoch: [80][9680/10010] Time 0.317 (0.328) Data 0.001 (0.001) Loss 1.1467 (1.3563) Prec@1 73.438 (68.452) Prec@5 88.281 (86.943) Epoch: [80][9690/10010] Time 0.337 (0.328) Data 0.001 (0.001) Loss 1.1931 (1.3563) Prec@1 68.750 (68.451) Prec@5 88.281 (86.942) Epoch: [80][9700/10010] Time 0.333 (0.328) Data 0.001 (0.001) Loss 1.1867 (1.3562) Prec@1 75.000 (68.453) Prec@5 90.625 (86.944) Epoch: [80][9710/10010] Time 0.334 (0.328) Data 0.001 (0.001) Loss 1.2431 (1.3561) Prec@1 71.094 (68.456) Prec@5 89.844 (86.946) Epoch: [80][9720/10010] Time 0.315 (0.328) Data 0.000 (0.001) Loss 1.6270 (1.3561) Prec@1 60.938 (68.456) Prec@5 83.594 (86.947) Epoch: [80][9730/10010] Time 0.339 (0.328) Data 0.001 (0.001) Loss 1.3291 (1.3560) Prec@1 69.531 (68.456) Prec@5 89.062 (86.949) Epoch: [80][9740/10010] Time 0.315 (0.328) Data 0.001 (0.001) Loss 1.2220 (1.3561) Prec@1 70.312 (68.455) Prec@5 91.406 (86.948) Epoch: [80][9750/10010] Time 0.337 (0.328) Data 0.001 (0.001) Loss 1.3661 (1.3561) Prec@1 70.312 (68.455) Prec@5 88.281 (86.946) Epoch: [80][9760/10010] Time 0.321 (0.328) Data 0.001 (0.001) Loss 1.6524 (1.3561) Prec@1 62.500 (68.454) Prec@5 81.250 (86.946) Epoch: [80][9770/10010] Time 0.322 (0.328) Data 0.001 (0.001) Loss 1.0273 (1.3561) Prec@1 73.438 (68.454) Prec@5 94.531 (86.948) Epoch: [80][9780/10010] Time 0.324 (0.328) Data 0.001 (0.001) Loss 1.2189 (1.3561) Prec@1 73.438 (68.454) Prec@5 88.281 (86.949) Epoch: [80][9790/10010] Time 0.333 (0.328) Data 0.001 (0.001) Loss 1.1804 (1.3560) Prec@1 68.750 (68.454) Prec@5 89.062 (86.949) Epoch: [80][9800/10010] Time 0.333 (0.328) Data 0.001 (0.001) Loss 1.2733 (1.3560) Prec@1 71.875 (68.454) Prec@5 89.062 (86.950) Epoch: [80][9810/10010] Time 0.344 (0.328) Data 0.000 (0.001) Loss 1.5427 (1.3560) Prec@1 60.938 (68.455) Prec@5 85.156 (86.949) Epoch: [80][9820/10010] Time 0.320 (0.328) Data 0.000 (0.001) Loss 1.5514 (1.3560) Prec@1 60.938 (68.454) Prec@5 83.594 (86.948) Epoch: [80][9830/10010] Time 0.324 (0.328) Data 0.001 (0.001) Loss 1.4775 (1.3560) Prec@1 65.625 (68.455) Prec@5 85.938 (86.948) Epoch: [80][9840/10010] Time 0.316 (0.328) Data 0.001 (0.001) Loss 1.3135 (1.3562) Prec@1 67.969 (68.451) Prec@5 86.719 (86.946) Epoch: [80][9850/10010] Time 0.319 (0.328) Data 0.000 (0.001) Loss 1.1923 (1.3561) Prec@1 72.656 (68.452) Prec@5 87.500 (86.947) Epoch: [80][9860/10010] Time 0.323 (0.328) Data 0.001 (0.001) Loss 1.6114 (1.3562) Prec@1 64.844 (68.452) Prec@5 82.031 (86.946) Epoch: [80][9870/10010] Time 0.322 (0.328) Data 0.000 (0.001) Loss 1.4852 (1.3562) Prec@1 69.531 (68.452) Prec@5 82.031 (86.946) Epoch: [80][9880/10010] Time 0.328 (0.328) Data 0.001 (0.001) Loss 1.2559 (1.3561) Prec@1 71.094 (68.453) Prec@5 89.844 (86.948) Epoch: [80][9890/10010] Time 0.334 (0.328) Data 0.001 (0.001) Loss 1.5354 (1.3561) Prec@1 66.406 (68.453) Prec@5 82.031 (86.947) Epoch: [80][9900/10010] Time 0.328 (0.328) Data 0.001 (0.001) Loss 1.3933 (1.3562) Prec@1 65.625 (68.451) Prec@5 87.500 (86.946) Epoch: [80][9910/10010] Time 0.313 (0.328) Data 0.001 (0.001) Loss 1.1458 (1.3562) Prec@1 75.000 (68.452) Prec@5 89.062 (86.947) Epoch: [80][9920/10010] Time 0.331 (0.328) Data 0.001 (0.001) Loss 1.3238 (1.3562) Prec@1 66.406 (68.452) Prec@5 89.844 (86.947) Epoch: [80][9930/10010] Time 0.322 (0.328) Data 0.000 (0.001) Loss 1.4789 (1.3563) Prec@1 65.625 (68.451) Prec@5 88.281 (86.946) Epoch: [80][9940/10010] Time 0.314 (0.328) Data 0.001 (0.001) Loss 1.4962 (1.3563) Prec@1 66.406 (68.452) Prec@5 85.156 (86.946) Epoch: [80][9950/10010] Time 0.334 (0.328) Data 0.000 (0.001) Loss 1.3685 (1.3563) Prec@1 70.312 (68.451) Prec@5 84.375 (86.945) Epoch: [80][9960/10010] Time 0.336 (0.328) Data 0.000 (0.001) Loss 1.4205 (1.3563) Prec@1 68.750 (68.450) Prec@5 84.375 (86.946) Epoch: [80][9970/10010] Time 0.333 (0.328) Data 0.001 (0.001) Loss 1.1911 (1.3563) Prec@1 68.750 (68.451) Prec@5 91.406 (86.945) Epoch: [80][9980/10010] Time 0.334 (0.328) Data 0.001 (0.001) Loss 1.2434 (1.3562) Prec@1 73.438 (68.452) Prec@5 89.844 (86.946) Epoch: [80][9990/10010] Time 0.339 (0.328) Data 0.001 (0.001) Loss 1.8042 (1.3563) Prec@1 66.406 (68.452) Prec@5 78.906 (86.945) Epoch: [80][10000/10010] Time 0.320 (0.328) Data 0.000 (0.001) Loss 1.3211 (1.3562) Prec@1 68.750 (68.453) Prec@5 87.500 (86.945) Test: [0/391] Time 1.511 (1.511) Loss 0.7211 (0.7211) Prec@1 86.719 (86.719) Prec@5 95.312 (95.312) Test: [10/391] Time 0.106 (0.236) Loss 1.1529 (0.6461) Prec@1 72.656 (84.020) Prec@5 91.406 (95.312) Test: [20/391] Time 0.105 (0.174) Loss 0.8597 (0.8969) Prec@1 78.906 (77.493) Prec@5 92.188 (92.783) Test: [30/391] Time 0.103 (0.155) Loss 1.5571 (1.0251) Prec@1 70.312 (74.042) Prec@5 86.719 (91.809) Test: [40/391] Time 0.103 (0.142) Loss 0.8525 (0.9208) Prec@1 81.250 (76.734) Prec@5 92.188 (92.683) Test: [50/391] Time 0.110 (0.135) Loss 0.5205 (0.9434) Prec@1 85.156 (76.547) Prec@5 96.875 (92.387) Test: [60/391] Time 0.106 (0.131) Loss 1.0436 (0.8893) Prec@1 75.781 (77.856) Prec@5 90.625 (92.879) Test: [70/391] Time 0.155 (0.128) Loss 1.0712 (0.9143) Prec@1 67.969 (76.882) Prec@5 94.531 (92.980) Test: [80/391] Time 0.110 (0.125) Loss 0.9498 (0.9290) Prec@1 72.656 (76.167) Prec@5 92.188 (93.036) Test: [90/391] Time 0.113 (0.123) Loss 1.0172 (0.9347) Prec@1 60.938 (75.919) Prec@5 94.531 (93.037) Test: [100/391] Time 0.103 (0.121) Loss 0.7088 (0.9223) Prec@1 82.812 (75.944) Prec@5 96.875 (93.363) Test: [110/391] Time 0.112 (0.120) Loss 1.2977 (0.9256) Prec@1 53.125 (75.655) Prec@5 92.969 (93.483) Test: [120/391] Time 0.109 (0.119) Loss 0.7615 (0.9231) Prec@1 78.906 (75.839) Prec@5 96.875 (93.518) Test: [130/391] Time 0.109 (0.119) Loss 0.4193 (0.9184) Prec@1 90.625 (76.139) Prec@5 96.094 (93.523) Test: [140/391] Time 0.102 (0.118) Loss 1.2183 (0.9180) Prec@1 67.969 (76.036) Prec@5 92.188 (93.573) Test: [150/391] Time 0.111 (0.117) Loss 0.9068 (0.9229) Prec@1 71.094 (76.024) Prec@5 93.750 (93.414) Test: [160/391] Time 0.107 (0.116) Loss 0.9369 (0.9291) Prec@1 75.000 (75.937) Prec@5 92.969 (93.347) Test: [170/391] Time 0.103 (0.116) Loss 1.6343 (0.9583) Prec@1 62.500 (75.370) Prec@5 87.500 (93.033) Test: [180/391] Time 0.104 (0.115) Loss 2.0051 (0.9911) Prec@1 52.344 (74.711) Prec@5 87.500 (92.693) Test: [190/391] Time 0.099 (0.115) Loss 2.1761 (1.0264) Prec@1 52.344 (73.990) Prec@5 81.250 (92.237) Test: [200/391] Time 0.101 (0.114) Loss 1.1842 (1.0566) Prec@1 67.969 (73.371) Prec@5 90.625 (91.849) Test: [210/391] Time 0.102 (0.114) Loss 1.4510 (1.0761) Prec@1 67.969 (72.975) Prec@5 87.500 (91.632) Test: [220/391] Time 0.101 (0.113) Loss 0.5202 (1.0843) Prec@1 85.938 (72.819) Prec@5 96.875 (91.431) Test: [230/391] Time 0.100 (0.113) Loss 2.0087 (1.0985) Prec@1 53.125 (72.568) Prec@5 82.031 (91.254) Test: [240/391] Time 0.105 (0.113) Loss 1.3624 (1.1069) Prec@1 76.562 (72.484) Prec@5 85.156 (91.121) Test: [250/391] Time 0.107 (0.112) Loss 0.8458 (1.1309) Prec@1 78.125 (71.906) Prec@5 90.625 (90.821) Test: [260/391] Time 0.099 (0.112) Loss 1.4756 (1.1462) Prec@1 62.500 (71.531) Prec@5 82.812 (90.646) Test: [270/391] Time 0.096 (0.112) Loss 1.7852 (1.1558) Prec@1 56.250 (71.330) Prec@5 85.156 (90.487) Test: [280/391] Time 0.106 (0.111) Loss 1.2473 (1.1612) Prec@1 67.188 (71.236) Prec@5 91.406 (90.430) Test: [290/391] Time 0.107 (0.111) Loss 1.6071 (1.1733) Prec@1 51.562 (71.011) Prec@5 90.625 (90.201) Test: [300/391] Time 0.108 (0.111) Loss 1.2700 (1.1828) Prec@1 75.000 (70.847) Prec@5 88.281 (90.077) Test: [310/391] Time 0.103 (0.111) Loss 1.4351 (1.1917) Prec@1 71.094 (70.742) Prec@5 83.594 (89.934) Test: [320/391] Time 0.105 (0.111) Loss 0.9148 (1.1991) Prec@1 79.688 (70.597) Prec@5 92.188 (89.863) Test: [330/391] Time 0.100 (0.111) Loss 1.9219 (1.2175) Prec@1 55.469 (70.185) Prec@5 80.469 (89.605) Test: [340/391] Time 0.100 (0.110) Loss 1.2507 (1.2226) Prec@1 60.938 (70.010) Prec@5 92.969 (89.541) Test: [350/391] Time 0.115 (0.110) Loss 1.3197 (1.2276) Prec@1 66.406 (69.939) Prec@5 89.844 (89.463) Test: [360/391] Time 0.102 (0.110) Loss 1.1840 (1.2356) Prec@1 66.406 (69.784) Prec@5 92.188 (89.411) Test: [370/391] Time 0.101 (0.110) Loss 1.1404 (1.2306) Prec@1 66.406 (69.847) Prec@5 94.531 (89.475) Test: [380/391] Time 0.105 (0.110) Loss 0.9588 (1.2320) Prec@1 75.000 (69.808) Prec@5 92.188 (89.454) Test: [390/391] Time 0.072 (0.110) Loss 1.8780 (1.2250) Prec@1 47.500 (69.992) Prec@5 81.250 (89.542) * Prec@1 69.992 Prec@5 89.542 Epoch: [81][0/10010] Time 2.735 (2.735) Data 2.534 (2.534) Loss 1.4458 (1.4458) Prec@1 66.406 (66.406) Prec@5 84.375 (84.375) Epoch: [81][10/10010] Time 0.321 (0.536) Data 0.001 (0.231) Loss 1.4510 (1.3484) Prec@1 65.625 (68.466) Prec@5 82.031 (86.435) Epoch: [81][20/10010] Time 0.311 (0.432) Data 0.000 (0.121) Loss 1.1821 (1.3307) Prec@1 70.312 (68.564) Prec@5 89.062 (86.942) Epoch: [81][30/10010] Time 0.317 (0.395) Data 0.001 (0.082) Loss 1.3337 (1.3237) Prec@1 67.969 (68.624) Prec@5 84.375 (87.172) Epoch: [81][40/10010] Time 0.307 (0.376) Data 0.001 (0.062) Loss 1.3181 (1.3213) Prec@1 73.438 (68.902) Prec@5 86.719 (87.271) Epoch: [81][50/10010] Time 0.324 (0.365) Data 0.001 (0.050) Loss 1.1918 (1.3412) Prec@1 74.219 (68.459) Prec@5 92.188 (87.163) Epoch: [81][60/10010] Time 0.329 (0.361) Data 0.000 (0.042) Loss 1.5274 (1.3433) Prec@1 67.969 (68.648) Prec@5 83.594 (87.090) Epoch: [81][70/10010] Time 0.321 (0.355) Data 0.001 (0.036) Loss 1.0306 (1.3346) Prec@1 74.219 (68.739) Prec@5 91.406 (87.038) Epoch: [81][80/10010] Time 0.338 (0.352) Data 0.001 (0.032) Loss 1.1775 (1.3385) Prec@1 71.875 (68.634) Prec@5 87.500 (86.844) Epoch: [81][90/10010] Time 0.321 (0.350) Data 0.000 (0.028) Loss 1.0428 (1.3284) Prec@1 76.562 (68.724) Prec@5 91.406 (86.908) Epoch: [81][100/10010] Time 0.341 (0.348) Data 0.000 (0.026) Loss 1.2636 (1.3258) Prec@1 69.531 (68.959) Prec@5 87.500 (86.974) Epoch: [81][110/10010] Time 0.336 (0.346) Data 0.001 (0.023) Loss 1.2528 (1.3289) Prec@1 74.219 (68.919) Prec@5 88.281 (87.043) Epoch: [81][120/10010] Time 0.329 (0.345) Data 0.001 (0.022) Loss 1.3565 (1.3268) Prec@1 63.281 (68.989) Prec@5 87.500 (87.113) Epoch: [81][130/10010] Time 0.317 (0.343) Data 0.001 (0.020) Loss 1.2752 (1.3147) Prec@1 68.750 (69.364) Prec@5 88.281 (87.303) Epoch: [81][140/10010] Time 0.323 (0.342) Data 0.001 (0.019) Loss 1.3632 (1.3111) Prec@1 69.531 (69.426) Prec@5 89.062 (87.356) Epoch: [81][150/10010] Time 0.314 (0.341) Data 0.001 (0.017) Loss 1.7048 (1.3153) Prec@1 62.500 (69.273) Prec@5 80.469 (87.329) Epoch: [81][160/10010] Time 0.325 (0.340) Data 0.001 (0.016) Loss 1.4522 (1.3138) Prec@1 68.750 (69.395) Prec@5 84.375 (87.316) Epoch: [81][170/10010] Time 0.332 (0.340) Data 0.000 (0.015) Loss 1.4542 (1.3194) Prec@1 64.062 (69.280) Prec@5 87.500 (87.253) Epoch: [81][180/10010] Time 0.320 (0.339) Data 0.000 (0.015) Loss 1.3564 (1.3222) Prec@1 65.625 (69.290) Prec@5 89.062 (87.206) Epoch: [81][190/10010] Time 0.321 (0.338) Data 0.000 (0.014) Loss 1.2883 (1.3192) Prec@1 67.969 (69.331) Prec@5 88.281 (87.242) Epoch: [81][200/10010] Time 0.334 (0.338) Data 0.001 (0.013) Loss 1.3656 (1.3183) Prec@1 68.750 (69.372) Prec@5 83.594 (87.228) Epoch: [81][210/10010] Time 0.333 (0.337) Data 0.001 (0.013) Loss 1.4653 (1.3216) Prec@1 64.062 (69.268) Prec@5 88.281 (87.219) Epoch: [81][220/10010] Time 0.338 (0.337) Data 0.001 (0.012) Loss 1.2109 (1.3208) Prec@1 73.438 (69.340) Prec@5 89.844 (87.238) Epoch: [81][230/10010] Time 0.321 (0.336) Data 0.000 (0.012) Loss 1.3251 (1.3220) Prec@1 72.656 (69.278) Prec@5 85.156 (87.196) Epoch: [81][240/10010] Time 0.321 (0.336) Data 0.001 (0.011) Loss 1.4856 (1.3229) Prec@1 64.844 (69.207) Prec@5 85.156 (87.195) Epoch: [81][250/10010] Time 0.333 (0.335) Data 0.000 (0.011) Loss 1.3135 (1.3251) Prec@1 67.188 (69.183) Prec@5 86.719 (87.148) Epoch: [81][260/10010] Time 0.339 (0.335) Data 0.001 (0.010) Loss 1.3239 (1.3254) Prec@1 64.844 (69.172) Prec@5 89.844 (87.198) Epoch: [81][270/10010] Time 0.316 (0.335) Data 0.001 (0.010) Loss 1.4508 (1.3282) Prec@1 68.750 (69.131) Prec@5 86.719 (87.183) Epoch: [81][280/10010] Time 0.318 (0.334) Data 0.001 (0.010) Loss 1.2294 (1.3270) Prec@1 68.750 (69.184) Prec@5 89.062 (87.230) Epoch: [81][290/10010] Time 0.319 (0.334) Data 0.001 (0.009) Loss 1.3358 (1.3267) Prec@1 65.625 (69.185) Prec@5 86.719 (87.205) Epoch: [81][300/10010] Time 0.315 (0.333) Data 0.001 (0.009) Loss 1.1879 (1.3281) Prec@1 71.094 (69.103) Prec@5 87.500 (87.189) Epoch: [81][310/10010] Time 0.317 (0.333) Data 0.001 (0.009) Loss 1.3594 (1.3277) Prec@1 63.281 (69.099) Prec@5 87.500 (87.186) Epoch: [81][320/10010] Time 0.319 (0.333) Data 0.000 (0.009) Loss 1.2949 (1.3276) Prec@1 70.312 (69.062) Prec@5 84.375 (87.196) Epoch: [81][330/10010] Time 0.318 (0.332) Data 0.000 (0.008) Loss 1.3202 (1.3292) Prec@1 70.312 (69.062) Prec@5 85.938 (87.155) Epoch: [81][340/10010] Time 0.330 (0.332) Data 0.001 (0.008) Loss 1.5143 (1.3273) Prec@1 65.625 (69.098) Prec@5 85.156 (87.227) Epoch: [81][350/10010] Time 0.328 (0.332) Data 0.001 (0.008) Loss 1.1833 (1.3271) Prec@1 71.094 (69.075) Prec@5 89.844 (87.248) Epoch: [81][360/10010] Time 0.337 (0.332) Data 0.000 (0.008) Loss 1.1644 (1.3278) Prec@1 71.094 (69.062) Prec@5 89.844 (87.253) Epoch: [81][370/10010] Time 0.316 (0.332) Data 0.001 (0.007) Loss 1.5837 (1.3291) Prec@1 65.625 (69.060) Prec@5 85.156 (87.205) Epoch: [81][380/10010] Time 0.334 (0.332) Data 0.000 (0.007) Loss 1.2142 (1.3271) Prec@1 72.656 (69.074) Prec@5 89.844 (87.254) Epoch: [81][390/10010] Time 0.325 (0.331) Data 0.001 (0.007) Loss 1.3453 (1.3272) Prec@1 68.750 (69.060) Prec@5 85.156 (87.254) Epoch: [81][400/10010] Time 0.326 (0.331) Data 0.000 (0.007) Loss 1.2144 (1.3268) Prec@1 70.312 (69.068) Prec@5 88.281 (87.253) Epoch: [81][410/10010] Time 0.337 (0.331) Data 0.001 (0.007) Loss 1.3987 (1.3275) Prec@1 68.750 (69.060) Prec@5 88.281 (87.268) Epoch: [81][420/10010] Time 0.333 (0.331) Data 0.001 (0.007) Loss 1.3869 (1.3279) Prec@1 69.531 (69.051) Prec@5 85.938 (87.270) Epoch: [81][430/10010] Time 0.317 (0.331) Data 0.001 (0.007) Loss 1.1136 (1.3266) Prec@1 72.656 (69.062) Prec@5 88.281 (87.292) Epoch: [81][440/10010] Time 0.344 (0.331) Data 0.000 (0.006) Loss 1.2851 (1.3271) Prec@1 72.656 (69.041) Prec@5 84.375 (87.261) Epoch: [81][450/10010] Time 0.329 (0.331) Data 0.000 (0.006) Loss 1.3415 (1.3261) Prec@1 67.188 (69.032) Prec@5 86.719 (87.277) Epoch: [81][460/10010] Time 0.339 (0.331) Data 0.001 (0.006) Loss 1.4224 (1.3279) Prec@1 70.312 (69.004) Prec@5 85.938 (87.258) Epoch: [81][470/10010] Time 0.320 (0.331) Data 0.001 (0.006) Loss 1.3073 (1.3281) Prec@1 67.188 (68.976) Prec@5 88.281 (87.248) Epoch: [81][480/10010] Time 0.313 (0.331) Data 0.000 (0.006) Loss 1.1680 (1.3282) Prec@1 74.219 (68.961) Prec@5 86.719 (87.239) Epoch: [81][490/10010] Time 0.331 (0.330) Data 0.001 (0.006) Loss 1.0586 (1.3256) Prec@1 75.000 (69.014) Prec@5 93.750 (87.282) Epoch: [81][500/10010] Time 0.321 (0.330) Data 0.001 (0.006) Loss 1.2545 (1.3264) Prec@1 67.188 (69.003) Prec@5 89.062 (87.261) Epoch: [81][510/10010] Time 0.336 (0.330) Data 0.001 (0.006) Loss 1.2809 (1.3260) Prec@1 69.531 (69.002) Prec@5 89.062 (87.261) Epoch: [81][520/10010] Time 0.328 (0.330) Data 0.001 (0.005) Loss 1.4168 (1.3278) Prec@1 67.188 (68.963) Prec@5 88.281 (87.233) Epoch: [81][530/10010] Time 0.334 (0.330) Data 0.000 (0.005) Loss 1.3678 (1.3277) Prec@1 65.625 (68.984) Prec@5 92.188 (87.256) Epoch: [81][540/10010] Time 0.336 (0.330) Data 0.001 (0.005) Loss 1.1905 (1.3285) Prec@1 71.094 (68.984) Prec@5 89.062 (87.250) Epoch: [81][550/10010] Time 0.337 (0.330) Data 0.001 (0.005) Loss 1.2520 (1.3277) Prec@1 67.188 (68.974) Prec@5 85.938 (87.252) Epoch: [81][560/10010] Time 0.326 (0.330) Data 0.000 (0.005) Loss 1.1077 (1.3271) Prec@1 71.875 (68.977) Prec@5 88.281 (87.270) Epoch: [81][570/10010] Time 0.315 (0.330) Data 0.001 (0.005) Loss 1.4337 (1.3271) Prec@1 65.625 (68.978) Prec@5 84.375 (87.274) Epoch: [81][580/10010] Time 0.339 (0.330) Data 0.001 (0.005) Loss 1.7210 (1.3300) Prec@1 56.250 (68.910) Prec@5 82.812 (87.234) Epoch: [81][590/10010] Time 0.321 (0.330) Data 0.000 (0.005) Loss 1.1949 (1.3317) Prec@1 73.438 (68.885) Prec@5 90.625 (87.218) Epoch: [81][600/10010] Time 0.325 (0.330) Data 0.001 (0.005) Loss 1.2971 (1.3321) Prec@1 66.406 (68.870) Prec@5 86.719 (87.208) Epoch: [81][610/10010] Time 0.317 (0.330) Data 0.001 (0.005) Loss 1.4840 (1.3343) Prec@1 70.312 (68.841) Prec@5 86.719 (87.192) Epoch: [81][620/10010] Time 0.316 (0.330) Data 0.001 (0.005) Loss 1.4060 (1.3339) Prec@1 71.875 (68.847) Prec@5 86.719 (87.221) Epoch: [81][630/10010] Time 0.325 (0.330) Data 0.001 (0.005) Loss 1.1789 (1.3322) Prec@1 72.656 (68.896) Prec@5 88.281 (87.244) Epoch: [81][640/10010] Time 0.323 (0.330) Data 0.000 (0.005) Loss 1.5118 (1.3329) Prec@1 66.406 (68.873) Prec@5 81.250 (87.253) Epoch: [81][650/10010] Time 0.339 (0.330) Data 0.001 (0.005) Loss 1.2425 (1.3318) Prec@1 68.750 (68.895) Prec@5 87.500 (87.270) Epoch: [81][660/10010] Time 0.322 (0.330) Data 0.001 (0.004) Loss 1.1972 (1.3306) Prec@1 75.000 (68.908) Prec@5 89.062 (87.290) Epoch: [81][670/10010] Time 0.329 (0.330) Data 0.000 (0.004) Loss 1.3471 (1.3308) Prec@1 66.406 (68.891) Prec@5 88.281 (87.285) Epoch: [81][680/10010] Time 0.330 (0.330) Data 0.001 (0.004) Loss 1.4127 (1.3311) Prec@1 64.844 (68.866) Prec@5 85.156 (87.284) Epoch: [81][690/10010] Time 0.320 (0.330) Data 0.000 (0.004) Loss 1.6075 (1.3314) Prec@1 66.406 (68.878) Prec@5 83.594 (87.272) Epoch: [81][700/10010] Time 0.332 (0.330) Data 0.001 (0.004) Loss 1.1672 (1.3305) Prec@1 70.312 (68.890) Prec@5 91.406 (87.294) Epoch: [81][710/10010] Time 0.341 (0.330) Data 0.001 (0.004) Loss 1.4110 (1.3300) Prec@1 66.406 (68.907) Prec@5 88.281 (87.298) Epoch: [81][720/10010] Time 0.328 (0.330) Data 0.001 (0.004) Loss 1.6909 (1.3308) Prec@1 67.188 (68.907) Prec@5 82.031 (87.288) Epoch: [81][730/10010] Time 0.326 (0.330) Data 0.001 (0.004) Loss 1.3404 (1.3305) Prec@1 65.625 (68.916) Prec@5 85.938 (87.294) Epoch: [81][740/10010] Time 0.314 (0.330) Data 0.000 (0.004) Loss 1.2759 (1.3304) Prec@1 68.750 (68.919) Prec@5 87.500 (87.287) Epoch: [81][750/10010] Time 0.332 (0.330) Data 0.000 (0.004) Loss 1.5107 (1.3305) Prec@1 63.281 (68.907) Prec@5 83.594 (87.271) Epoch: [81][760/10010] Time 0.339 (0.329) Data 0.001 (0.004) Loss 1.2769 (1.3311) Prec@1 67.969 (68.895) Prec@5 92.188 (87.268) Epoch: [81][770/10010] Time 0.324 (0.329) Data 0.001 (0.004) Loss 1.1961 (1.3324) Prec@1 66.406 (68.875) Prec@5 89.844 (87.242) Epoch: [81][780/10010] Time 0.337 (0.329) Data 0.000 (0.004) Loss 1.1933 (1.3325) Prec@1 63.281 (68.864) Prec@5 89.844 (87.253) Epoch: [81][790/10010] Time 0.341 (0.330) Data 0.001 (0.004) Loss 1.2560 (1.3321) Prec@1 71.094 (68.865) Prec@5 85.156 (87.246) Epoch: [81][800/10010] Time 0.322 (0.330) Data 0.000 (0.004) Loss 1.1311 (1.3323) Prec@1 69.531 (68.855) Prec@5 89.844 (87.241) Epoch: [81][810/10010] Time 0.316 (0.330) Data 0.000 (0.004) Loss 1.3720 (1.3315) Prec@1 71.094 (68.883) Prec@5 84.375 (87.246) Epoch: [81][820/10010] Time 0.334 (0.330) Data 0.001 (0.004) Loss 1.4504 (1.3321) Prec@1 70.312 (68.887) Prec@5 82.031 (87.236) Epoch: [81][830/10010] Time 0.323 (0.330) Data 0.001 (0.004) Loss 1.5175 (1.3325) Prec@1 62.500 (68.867) Prec@5 87.500 (87.231) Epoch: [81][840/10010] Time 0.339 (0.330) Data 0.001 (0.004) Loss 1.3489 (1.3325) Prec@1 70.312 (68.864) Prec@5 86.719 (87.234) Epoch: [81][850/10010] Time 0.337 (0.330) Data 0.000 (0.004) Loss 1.3636 (1.3320) Prec@1 67.969 (68.879) Prec@5 88.281 (87.245) Epoch: [81][860/10010] Time 0.324 (0.330) Data 0.000 (0.004) Loss 1.2261 (1.3307) Prec@1 69.531 (68.902) Prec@5 89.062 (87.267) Epoch: [81][870/10010] Time 0.322 (0.330) Data 0.001 (0.004) Loss 1.2411 (1.3309) Prec@1 69.531 (68.892) Prec@5 91.406 (87.266) Epoch: [81][880/10010] Time 0.320 (0.329) Data 0.000 (0.004) Loss 1.2787 (1.3318) Prec@1 68.750 (68.877) Prec@5 88.281 (87.253) Epoch: [81][890/10010] Time 0.337 (0.329) Data 0.000 (0.003) Loss 1.3523 (1.3314) Prec@1 72.656 (68.875) Prec@5 89.062 (87.263) Epoch: [81][900/10010] Time 0.318 (0.329) Data 0.001 (0.003) Loss 1.1700 (1.3311) Prec@1 71.875 (68.875) Prec@5 90.625 (87.273) Epoch: [81][910/10010] Time 0.316 (0.329) Data 0.001 (0.003) Loss 1.3263 (1.3312) Prec@1 71.094 (68.858) Prec@5 86.719 (87.281) Epoch: [81][920/10010] Time 0.319 (0.329) Data 0.001 (0.003) Loss 1.0888 (1.3310) Prec@1 71.875 (68.847) Prec@5 91.406 (87.282) Epoch: [81][930/10010] Time 0.337 (0.329) Data 0.000 (0.003) Loss 1.5778 (1.3313) Prec@1 66.406 (68.838) Prec@5 85.156 (87.285) Epoch: [81][940/10010] Time 0.336 (0.329) Data 0.001 (0.003) Loss 1.1945 (1.3308) Prec@1 70.312 (68.847) Prec@5 90.625 (87.279) Epoch: [81][950/10010] Time 0.317 (0.329) Data 0.000 (0.003) Loss 1.3322 (1.3319) Prec@1 66.406 (68.822) Prec@5 85.938 (87.259) Epoch: [81][960/10010] Time 0.325 (0.329) Data 0.001 (0.003) Loss 1.4710 (1.3335) Prec@1 67.969 (68.799) Prec@5 82.031 (87.241) Epoch: [81][970/10010] Time 0.332 (0.329) Data 0.001 (0.003) Loss 1.4923 (1.3342) Prec@1 67.969 (68.800) Prec@5 81.250 (87.230) Epoch: [81][980/10010] Time 0.329 (0.329) Data 0.001 (0.003) Loss 0.9222 (1.3341) Prec@1 74.219 (68.799) Prec@5 94.531 (87.232) Epoch: [81][990/10010] Time 0.323 (0.329) Data 0.001 (0.003) Loss 1.6642 (1.3343) Prec@1 63.281 (68.792) Prec@5 83.594 (87.233) Epoch: [81][1000/10010] Time 0.329 (0.329) Data 0.001 (0.003) Loss 1.4464 (1.3345) Prec@1 68.750 (68.796) Prec@5 85.938 (87.228) Epoch: [81][1010/10010] Time 0.319 (0.329) Data 0.000 (0.003) Loss 1.0581 (1.3336) Prec@1 73.438 (68.802) Prec@5 89.844 (87.237) Epoch: [81][1020/10010] Time 0.326 (0.329) Data 0.001 (0.003) Loss 1.5702 (1.3343) Prec@1 64.844 (68.787) Prec@5 82.031 (87.227) Epoch: [81][1030/10010] Time 0.321 (0.329) Data 0.000 (0.003) Loss 1.3200 (1.3339) Prec@1 71.875 (68.781) Prec@5 83.594 (87.230) Epoch: [81][1040/10010] Time 0.323 (0.329) Data 0.000 (0.003) Loss 1.3541 (1.3353) Prec@1 67.969 (68.773) Prec@5 86.719 (87.204) Epoch: [81][1050/10010] Time 0.321 (0.329) Data 0.001 (0.003) Loss 1.6505 (1.3357) Prec@1 62.500 (68.766) Prec@5 84.375 (87.205) Epoch: [81][1060/10010] Time 0.328 (0.328) Data 0.001 (0.003) Loss 1.1794 (1.3356) Prec@1 75.000 (68.781) Prec@5 89.062 (87.207) Epoch: [81][1070/10010] Time 0.329 (0.329) Data 0.000 (0.003) Loss 1.2231 (1.3358) Prec@1 66.406 (68.772) Prec@5 88.281 (87.208) Epoch: [81][1080/10010] Time 0.323 (0.328) Data 0.000 (0.003) Loss 1.0489 (1.3357) Prec@1 75.781 (68.767) Prec@5 92.188 (87.207) Epoch: [81][1090/10010] Time 0.324 (0.328) Data 0.001 (0.003) Loss 1.6910 (1.3352) Prec@1 66.406 (68.781) Prec@5 79.688 (87.214) Epoch: [81][1100/10010] Time 0.321 (0.328) Data 0.000 (0.003) Loss 1.3443 (1.3353) Prec@1 67.188 (68.779) Prec@5 83.594 (87.215) Epoch: [81][1110/10010] Time 0.327 (0.328) Data 0.001 (0.003) Loss 1.4618 (1.3355) Prec@1 66.406 (68.763) Prec@5 84.375 (87.212) Epoch: [81][1120/10010] Time 0.316 (0.328) Data 0.001 (0.003) Loss 1.5731 (1.3351) Prec@1 67.188 (68.777) Prec@5 84.375 (87.217) Epoch: [81][1130/10010] Time 0.340 (0.328) Data 0.000 (0.003) Loss 1.2910 (1.3349) Prec@1 67.969 (68.785) Prec@5 89.062 (87.215) Epoch: [81][1140/10010] Time 0.333 (0.328) Data 0.001 (0.003) Loss 1.2157 (1.3345) Prec@1 71.094 (68.797) Prec@5 89.062 (87.223) Epoch: [81][1150/10010] Time 0.339 (0.328) Data 0.001 (0.003) Loss 1.4453 (1.3346) Prec@1 64.844 (68.791) Prec@5 85.938 (87.225) Epoch: [81][1160/10010] Time 0.332 (0.328) Data 0.001 (0.003) Loss 1.5032 (1.3341) Prec@1 62.500 (68.790) Prec@5 85.938 (87.224) Epoch: [81][1170/10010] Time 0.341 (0.328) Data 0.001 (0.003) Loss 1.5183 (1.3345) Prec@1 69.531 (68.795) Prec@5 83.594 (87.208) Epoch: [81][1180/10010] Time 0.336 (0.328) Data 0.001 (0.003) Loss 1.4506 (1.3343) Prec@1 67.188 (68.782) Prec@5 88.281 (87.215) Epoch: [81][1190/10010] Time 0.337 (0.328) Data 0.001 (0.003) Loss 1.2860 (1.3348) Prec@1 68.750 (68.769) Prec@5 89.844 (87.211) Epoch: [81][1200/10010] Time 0.320 (0.328) Data 0.000 (0.003) Loss 1.0599 (1.3343) Prec@1 78.906 (68.779) Prec@5 89.844 (87.216) Epoch: [81][1210/10010] Time 0.326 (0.328) Data 0.001 (0.003) Loss 1.3694 (1.3349) Prec@1 66.406 (68.762) Prec@5 85.938 (87.207) Epoch: [81][1220/10010] Time 0.324 (0.328) Data 0.001 (0.003) Loss 1.4755 (1.3355) Prec@1 63.281 (68.753) Prec@5 85.938 (87.198) Epoch: [81][1230/10010] Time 0.342 (0.328) Data 0.000 (0.003) Loss 1.2858 (1.3360) Prec@1 66.406 (68.733) Prec@5 90.625 (87.189) Epoch: [81][1240/10010] Time 0.337 (0.329) Data 0.000 (0.003) Loss 1.3690 (1.3359) Prec@1 64.062 (68.732) Prec@5 86.719 (87.193) Epoch: [81][1250/10010] Time 0.320 (0.329) Data 0.000 (0.003) Loss 1.2655 (1.3357) Prec@1 70.312 (68.729) Prec@5 90.625 (87.205) Epoch: [81][1260/10010] Time 0.332 (0.329) Data 0.001 (0.003) Loss 1.3703 (1.3359) Prec@1 68.750 (68.723) Prec@5 83.594 (87.198) Epoch: [81][1270/10010] Time 0.340 (0.329) Data 0.001 (0.003) Loss 1.2997 (1.3356) Prec@1 71.875 (68.727) Prec@5 87.500 (87.205) Epoch: [81][1280/10010] Time 0.313 (0.328) Data 0.001 (0.003) Loss 1.5729 (1.3360) Prec@1 64.844 (68.722) Prec@5 85.156 (87.190) Epoch: [81][1290/10010] Time 0.317 (0.328) Data 0.001 (0.003) Loss 1.3404 (1.3353) Prec@1 67.188 (68.734) Prec@5 87.500 (87.204) Epoch: [81][1300/10010] Time 0.332 (0.328) Data 0.001 (0.003) Loss 1.5098 (1.3350) Prec@1 64.062 (68.731) Prec@5 85.938 (87.200) Epoch: [81][1310/10010] Time 0.326 (0.328) Data 0.001 (0.003) Loss 1.2359 (1.3343) Prec@1 71.094 (68.745) Prec@5 88.281 (87.212) Epoch: [81][1320/10010] Time 0.332 (0.328) Data 0.000 (0.003) Loss 1.2987 (1.3346) Prec@1 66.406 (68.742) Prec@5 85.938 (87.197) Epoch: [81][1330/10010] Time 0.325 (0.329) Data 0.001 (0.003) Loss 1.4895 (1.3346) Prec@1 68.750 (68.748) Prec@5 80.469 (87.192) Epoch: [81][1340/10010] Time 0.315 (0.329) Data 0.001 (0.003) Loss 1.4585 (1.3338) Prec@1 66.406 (68.773) Prec@5 85.938 (87.202) Epoch: [81][1350/10010] Time 0.314 (0.329) Data 0.001 (0.003) Loss 1.3332 (1.3338) Prec@1 67.188 (68.771) Prec@5 86.719 (87.213) Epoch: [81][1360/10010] Time 0.319 (0.328) Data 0.001 (0.002) Loss 1.4258 (1.3346) Prec@1 66.406 (68.760) Prec@5 83.594 (87.207) Epoch: [81][1370/10010] Time 0.337 (0.329) Data 0.000 (0.002) Loss 0.8000 (1.3339) Prec@1 79.688 (68.777) Prec@5 93.750 (87.218) Epoch: [81][1380/10010] Time 0.321 (0.329) Data 0.000 (0.002) Loss 1.4313 (1.3337) Prec@1 67.969 (68.787) Prec@5 85.156 (87.226) Epoch: [81][1390/10010] Time 0.338 (0.329) Data 0.001 (0.002) Loss 0.8063 (1.3334) Prec@1 75.781 (68.797) Prec@5 95.312 (87.229) Epoch: [81][1400/10010] Time 0.328 (0.329) Data 0.001 (0.002) Loss 0.9558 (1.3334) Prec@1 78.125 (68.790) Prec@5 89.062 (87.228) Epoch: [81][1410/10010] Time 0.317 (0.329) Data 0.000 (0.002) Loss 1.4168 (1.3332) Prec@1 63.281 (68.794) Prec@5 87.500 (87.229) Epoch: [81][1420/10010] Time 0.329 (0.329) Data 0.001 (0.002) Loss 1.2271 (1.3332) Prec@1 71.875 (68.795) Prec@5 88.281 (87.226) Epoch: [81][1430/10010] Time 0.334 (0.329) Data 0.001 (0.002) Loss 1.1733 (1.3331) Prec@1 68.750 (68.793) Prec@5 89.844 (87.223) Epoch: [81][1440/10010] Time 0.321 (0.329) Data 0.001 (0.002) Loss 1.2311 (1.3332) Prec@1 68.750 (68.780) Prec@5 86.719 (87.217) Epoch: [81][1450/10010] Time 0.330 (0.329) Data 0.001 (0.002) Loss 1.2852 (1.3328) Prec@1 61.719 (68.782) Prec@5 88.281 (87.223) Epoch: [81][1460/10010] Time 0.319 (0.329) Data 0.000 (0.002) Loss 1.1556 (1.3325) Prec@1 67.188 (68.783) Prec@5 89.844 (87.228) Epoch: [81][1470/10010] Time 0.342 (0.329) Data 0.001 (0.002) Loss 1.3599 (1.3324) Prec@1 67.969 (68.782) Prec@5 87.500 (87.229) Epoch: [81][1480/10010] Time 0.316 (0.329) Data 0.001 (0.002) Loss 1.2585 (1.3321) Prec@1 69.531 (68.784) Prec@5 88.281 (87.229) Epoch: [81][1490/10010] Time 0.319 (0.329) Data 0.000 (0.002) Loss 1.2865 (1.3326) Prec@1 71.094 (68.787) Prec@5 85.938 (87.219) Epoch: [81][1500/10010] Time 0.325 (0.328) Data 0.001 (0.002) Loss 1.4420 (1.3329) Prec@1 65.625 (68.773) Prec@5 85.938 (87.212) Epoch: [81][1510/10010] Time 0.320 (0.328) Data 0.001 (0.002) Loss 1.4690 (1.3336) Prec@1 66.406 (68.761) Prec@5 87.500 (87.201) Epoch: [81][1520/10010] Time 0.321 (0.328) Data 0.000 (0.002) Loss 1.0930 (1.3331) Prec@1 73.438 (68.778) Prec@5 93.750 (87.212) Epoch: [81][1530/10010] Time 0.316 (0.328) Data 0.001 (0.002) Loss 1.1085 (1.3324) Prec@1 75.781 (68.789) Prec@5 89.844 (87.224) Epoch: [81][1540/10010] Time 0.311 (0.328) Data 0.001 (0.002) Loss 1.2682 (1.3323) Prec@1 72.656 (68.797) Prec@5 89.844 (87.227) Epoch: [81][1550/10010] Time 0.316 (0.328) Data 0.001 (0.002) Loss 1.4589 (1.3327) Prec@1 63.281 (68.782) Prec@5 87.500 (87.224) Epoch: [81][1560/10010] Time 0.322 (0.328) Data 0.001 (0.002) Loss 1.2188 (1.3328) Prec@1 71.875 (68.786) Prec@5 88.281 (87.226) Epoch: [81][1570/10010] Time 0.333 (0.328) Data 0.001 (0.002) Loss 1.1608 (1.3330) Prec@1 69.531 (68.780) Prec@5 91.406 (87.224) Epoch: [81][1580/10010] Time 0.326 (0.328) Data 0.000 (0.002) Loss 1.3423 (1.3332) Prec@1 70.312 (68.784) Prec@5 88.281 (87.220) Epoch: [81][1590/10010] Time 0.335 (0.328) Data 0.000 (0.002) Loss 1.1832 (1.3336) Prec@1 69.531 (68.775) Prec@5 88.281 (87.212) Epoch: [81][1600/10010] Time 0.322 (0.328) Data 0.001 (0.002) Loss 1.4391 (1.3336) Prec@1 67.188 (68.780) Prec@5 83.594 (87.208) Epoch: [81][1610/10010] Time 0.332 (0.328) Data 0.001 (0.002) Loss 1.2911 (1.3342) Prec@1 69.531 (68.765) Prec@5 89.062 (87.193) Epoch: [81][1620/10010] Time 0.319 (0.328) Data 0.001 (0.002) Loss 1.1445 (1.3342) Prec@1 75.000 (68.765) Prec@5 87.500 (87.187) Epoch: [81][1630/10010] Time 0.322 (0.328) Data 0.000 (0.002) Loss 1.3551 (1.3343) Prec@1 69.531 (68.774) Prec@5 87.500 (87.186) Epoch: [81][1640/10010] Time 0.320 (0.328) Data 0.001 (0.002) Loss 1.3901 (1.3341) Prec@1 67.969 (68.780) Prec@5 85.938 (87.189) Epoch: [81][1650/10010] Time 0.334 (0.328) Data 0.000 (0.002) Loss 1.3519 (1.3342) Prec@1 68.750 (68.781) Prec@5 86.719 (87.183) Epoch: [81][1660/10010] Time 0.339 (0.328) Data 0.001 (0.002) Loss 1.2069 (1.3342) Prec@1 72.656 (68.782) Prec@5 87.500 (87.179) Epoch: [81][1670/10010] Time 0.338 (0.328) Data 0.000 (0.002) Loss 1.3172 (1.3345) Prec@1 74.219 (68.777) Prec@5 83.594 (87.176) /data/vision/torralba/deepscene/lib/anaconda2/lib/python2.7/site-packages/PIL/TiffImagePlugin.py:709: UserWarning: Corrupt EXIF data. Expecting to read 4 bytes but only got 0. warnings.warn(str(msg)) Epoch: [81][1680/10010] Time 0.332 (0.328) Data 0.001 (0.002) Loss 1.3378 (1.3350) Prec@1 69.531 (68.768) Prec@5 86.719 (87.167) Epoch: [81][1690/10010] Time 0.325 (0.328) Data 0.001 (0.002) Loss 1.4194 (1.3350) Prec@1 73.438 (68.778) Prec@5 85.156 (87.170) Epoch: [81][1700/10010] Time 0.338 (0.328) Data 0.000 (0.002) Loss 1.3164 (1.3349) Prec@1 72.656 (68.778) Prec@5 89.844 (87.168) Epoch: [81][1710/10010] Time 0.337 (0.328) Data 0.000 (0.002) Loss 1.6131 (1.3346) Prec@1 65.625 (68.778) Prec@5 85.156 (87.174) Epoch: [81][1720/10010] Time 0.319 (0.328) Data 0.001 (0.002) Loss 1.6557 (1.3344) Prec@1 59.375 (68.773) Prec@5 84.375 (87.179) Epoch: [81][1730/10010] Time 0.338 (0.328) Data 0.001 (0.002) Loss 1.3218 (1.3343) Prec@1 73.438 (68.778) Prec@5 88.281 (87.180) Epoch: [81][1740/10010] Time 0.316 (0.328) Data 0.001 (0.002) Loss 1.2154 (1.3340) Prec@1 69.531 (68.795) Prec@5 89.844 (87.189) Epoch: [81][1750/10010] Time 0.329 (0.328) Data 0.000 (0.002) Loss 1.0892 (1.3343) Prec@1 73.438 (68.789) Prec@5 89.844 (87.181) /data/vision/torralba/deepscene/lib/anaconda2/lib/python2.7/site-packages/PIL/TiffImagePlugin.py:692: UserWarning: Possibly corrupt EXIF data. Expecting to read 19660800 bytes but only got 0. Skipping tag 0 "Skipping tag %s" % (size, len(data), tag)) /data/vision/torralba/deepscene/lib/anaconda2/lib/python2.7/site-packages/PIL/TiffImagePlugin.py:692: UserWarning: Possibly corrupt EXIF data. Expecting to read 18481152 bytes but only got 0. Skipping tag 0 "Skipping tag %s" % (size, len(data), tag)) /data/vision/torralba/deepscene/lib/anaconda2/lib/python2.7/site-packages/PIL/TiffImagePlugin.py:692: UserWarning: Possibly corrupt EXIF data. Expecting to read 37093376 bytes but only got 0. Skipping tag 0 "Skipping tag %s" % (size, len(data), tag)) /data/vision/torralba/deepscene/lib/anaconda2/lib/python2.7/site-packages/PIL/TiffImagePlugin.py:692: UserWarning: Possibly corrupt EXIF data. Expecting to read 39976960 bytes but only got 0. Skipping tag 0 "Skipping tag %s" % (size, len(data), tag)) /data/vision/torralba/deepscene/lib/anaconda2/lib/python2.7/site-packages/PIL/TiffImagePlugin.py:692: UserWarning: Possibly corrupt EXIF data. Expecting to read 34865152 bytes but only got 0. Skipping tag 0 "Skipping tag %s" % (size, len(data), tag)) /data/vision/torralba/deepscene/lib/anaconda2/lib/python2.7/site-packages/PIL/TiffImagePlugin.py:709: UserWarning: Corrupt EXIF data. Expecting to read 12 bytes but only got 10. warnings.warn(str(msg)) Epoch: [81][1760/10010] Time 0.314 (0.328) Data 0.001 (0.002) Loss 1.2187 (1.3340) Prec@1 67.188 (68.789) Prec@5 89.844 (87.183) Epoch: [81][1770/10010] Time 0.338 (0.328) Data 0.001 (0.002) Loss 1.3556 (1.3344) Prec@1 67.188 (68.780) Prec@5 87.500 (87.177) Epoch: [81][1780/10010] Time 0.334 (0.328) Data 0.000 (0.002) Loss 1.1570 (1.3341) Prec@1 76.562 (68.783) Prec@5 90.625 (87.182) Epoch: [81][1790/10010] Time 0.320 (0.328) Data 0.000 (0.002) Loss 1.5758 (1.3342) Prec@1 64.844 (68.778) Prec@5 84.375 (87.185) Epoch: [81][1800/10010] Time 0.316 (0.328) Data 0.001 (0.002) Loss 1.4695 (1.3344) Prec@1 66.406 (68.776) Prec@5 87.500 (87.183) Epoch: [81][1810/10010] Time 0.328 (0.328) Data 0.001 (0.002) Loss 1.5398 (1.3349) Prec@1 64.062 (68.769) Prec@5 82.031 (87.173) Epoch: [81][1820/10010] Time 0.332 (0.328) Data 0.000 (0.002) Loss 1.2801 (1.3350) Prec@1 67.188 (68.769) Prec@5 86.719 (87.170) Epoch: [81][1830/10010] Time 0.324 (0.328) Data 0.001 (0.002) Loss 1.1551 (1.3349) Prec@1 72.656 (68.768) Prec@5 89.844 (87.171) Epoch: [81][1840/10010] Time 0.328 (0.328) Data 0.000 (0.002) Loss 1.1482 (1.3353) Prec@1 69.531 (68.755) Prec@5 93.750 (87.161) Epoch: [81][1850/10010] Time 0.330 (0.328) Data 0.000 (0.002) Loss 1.4175 (1.3352) Prec@1 72.656 (68.762) Prec@5 86.719 (87.167) Epoch: [81][1860/10010] Time 0.314 (0.328) Data 0.001 (0.002) Loss 1.0641 (1.3347) Prec@1 73.438 (68.777) Prec@5 92.188 (87.171) Epoch: [81][1870/10010] Time 0.312 (0.328) Data 0.001 (0.002) Loss 1.3623 (1.3348) Prec@1 69.531 (68.777) Prec@5 85.938 (87.171) Epoch: [81][1880/10010] Time 0.333 (0.328) Data 0.001 (0.002) Loss 1.2369 (1.3350) Prec@1 70.312 (68.772) Prec@5 88.281 (87.168) Epoch: [81][1890/10010] Time 0.325 (0.328) Data 0.001 (0.002) Loss 1.4043 (1.3350) Prec@1 66.406 (68.776) Prec@5 85.156 (87.172) Epoch: [81][1900/10010] Time 0.327 (0.328) Data 0.001 (0.002) Loss 1.3996 (1.3354) Prec@1 63.281 (68.765) Prec@5 85.938 (87.166) Epoch: [81][1910/10010] Time 0.340 (0.328) Data 0.001 (0.002) Loss 1.3388 (1.3356) Prec@1 67.188 (68.760) Prec@5 86.719 (87.167) Epoch: [81][1920/10010] Time 0.342 (0.328) Data 0.000 (0.002) Loss 1.6091 (1.3359) Prec@1 64.844 (68.756) Prec@5 78.906 (87.161) Epoch: [81][1930/10010] Time 0.337 (0.328) Data 0.001 (0.002) Loss 1.6294 (1.3362) Prec@1 62.500 (68.754) Prec@5 82.812 (87.163) Epoch: [81][1940/10010] Time 0.335 (0.328) Data 0.001 (0.002) Loss 1.6409 (1.3362) Prec@1 67.188 (68.757) Prec@5 82.812 (87.161) Epoch: [81][1950/10010] Time 0.334 (0.328) Data 0.001 (0.002) Loss 1.4713 (1.3363) Prec@1 67.188 (68.752) Prec@5 84.375 (87.157) Epoch: [81][1960/10010] Time 0.323 (0.328) Data 0.000 (0.002) Loss 1.4534 (1.3363) Prec@1 69.531 (68.751) Prec@5 82.031 (87.155) Epoch: [81][1970/10010] Time 0.325 (0.328) Data 0.001 (0.002) Loss 1.1951 (1.3361) Prec@1 69.531 (68.752) Prec@5 91.406 (87.162) Epoch: [81][1980/10010] Time 0.335 (0.328) Data 0.001 (0.002) Loss 1.6278 (1.3364) Prec@1 63.281 (68.750) Prec@5 82.031 (87.156) Epoch: [81][1990/10010] Time 0.318 (0.328) Data 0.001 (0.002) Loss 1.5484 (1.3369) Prec@1 68.750 (68.743) Prec@5 84.375 (87.146) Epoch: [81][2000/10010] Time 0.333 (0.328) Data 0.001 (0.002) Loss 1.1405 (1.3366) Prec@1 71.875 (68.746) Prec@5 89.062 (87.147) Epoch: [81][2010/10010] Time 0.322 (0.328) Data 0.000 (0.002) Loss 1.2932 (1.3368) Prec@1 67.188 (68.738) Prec@5 87.500 (87.146) Epoch: [81][2020/10010] Time 0.340 (0.328) Data 0.001 (0.002) Loss 1.1460 (1.3368) Prec@1 71.094 (68.729) Prec@5 90.625 (87.149) Epoch: [81][2030/10010] Time 0.337 (0.328) Data 0.001 (0.002) Loss 1.3772 (1.3367) Prec@1 67.188 (68.740) Prec@5 85.156 (87.149) Epoch: [81][2040/10010] Time 0.337 (0.328) Data 0.001 (0.002) Loss 1.3950 (1.3368) Prec@1 65.625 (68.739) Prec@5 86.719 (87.146) Epoch: [81][2050/10010] Time 0.321 (0.328) Data 0.001 (0.002) Loss 1.4251 (1.3370) Prec@1 69.531 (68.738) Prec@5 83.594 (87.144) Epoch: [81][2060/10010] Time 0.341 (0.328) Data 0.001 (0.002) Loss 1.2852 (1.3366) Prec@1 68.750 (68.745) Prec@5 89.062 (87.149) Epoch: [81][2070/10010] Time 0.318 (0.328) Data 0.001 (0.002) Loss 1.4105 (1.3364) Prec@1 68.750 (68.747) Prec@5 85.156 (87.154) Epoch: [81][2080/10010] Time 0.338 (0.328) Data 0.001 (0.002) Loss 1.3106 (1.3367) Prec@1 70.312 (68.744) Prec@5 86.719 (87.154) Epoch: [81][2090/10010] Time 0.319 (0.328) Data 0.001 (0.002) Loss 1.1786 (1.3367) Prec@1 71.875 (68.740) Prec@5 88.281 (87.157) Epoch: [81][2100/10010] Time 0.314 (0.328) Data 0.000 (0.002) Loss 1.4031 (1.3365) Prec@1 65.625 (68.746) Prec@5 89.844 (87.161) Epoch: [81][2110/10010] Time 0.323 (0.328) Data 0.000 (0.002) Loss 1.2716 (1.3364) Prec@1 67.188 (68.748) Prec@5 91.406 (87.164) Epoch: [81][2120/10010] Time 0.327 (0.328) Data 0.001 (0.002) Loss 1.3781 (1.3366) Prec@1 73.438 (68.749) Prec@5 85.156 (87.157) Epoch: [81][2130/10010] Time 0.319 (0.328) Data 0.000 (0.002) Loss 1.1901 (1.3364) Prec@1 68.750 (68.752) Prec@5 88.281 (87.158) Epoch: [81][2140/10010] Time 0.324 (0.328) Data 0.000 (0.002) Loss 1.6839 (1.3367) Prec@1 60.938 (68.749) Prec@5 81.250 (87.153) Epoch: [81][2150/10010] Time 0.325 (0.328) Data 0.000 (0.002) Loss 1.3365 (1.3368) Prec@1 69.531 (68.742) Prec@5 86.719 (87.148) Epoch: [81][2160/10010] Time 0.341 (0.328) Data 0.000 (0.002) Loss 1.2131 (1.3375) Prec@1 71.875 (68.732) Prec@5 85.156 (87.139) Epoch: [81][2170/10010] Time 0.323 (0.328) Data 0.001 (0.002) Loss 1.2855 (1.3379) Prec@1 71.875 (68.726) Prec@5 84.375 (87.133) Epoch: [81][2180/10010] Time 0.320 (0.328) Data 0.000 (0.002) Loss 1.8021 (1.3382) Prec@1 57.031 (68.717) Prec@5 81.250 (87.129) Epoch: [81][2190/10010] Time 0.333 (0.328) Data 0.001 (0.002) Loss 1.2865 (1.3381) Prec@1 72.656 (68.717) Prec@5 89.062 (87.135) Epoch: [81][2200/10010] Time 0.321 (0.328) Data 0.001 (0.002) Loss 1.0794 (1.3378) Prec@1 74.219 (68.719) Prec@5 89.844 (87.139) Epoch: [81][2210/10010] Time 0.316 (0.328) Data 0.000 (0.002) Loss 1.3688 (1.3379) Prec@1 67.969 (68.722) Prec@5 88.281 (87.137) Epoch: [81][2220/10010] Time 0.333 (0.328) Data 0.001 (0.002) Loss 1.0571 (1.3375) Prec@1 76.562 (68.733) Prec@5 89.844 (87.141) /data/vision/torralba/deepscene/lib/anaconda2/lib/python2.7/site-packages/PIL/TiffImagePlugin.py:692: UserWarning: Possibly corrupt EXIF data. Expecting to read 2555904 bytes but only got 0. Skipping tag 0 "Skipping tag %s" % (size, len(data), tag)) Epoch: [81][2230/10010] Time 0.331 (0.328) Data 0.001 (0.002) Loss 1.5006 (1.3377) Prec@1 67.969 (68.730) Prec@5 85.156 (87.138) Epoch: [81][2240/10010] Time 0.330 (0.328) Data 0.001 (0.002) Loss 1.2990 (1.3378) Prec@1 64.062 (68.732) Prec@5 89.062 (87.138) Epoch: [81][2250/10010] Time 0.334 (0.328) Data 0.001 (0.002) Loss 1.1175 (1.3381) Prec@1 71.875 (68.726) Prec@5 90.625 (87.135) Epoch: [81][2260/10010] Time 0.334 (0.328) Data 0.000 (0.002) Loss 1.2702 (1.3379) Prec@1 71.094 (68.729) Prec@5 83.594 (87.133) Epoch: [81][2270/10010] Time 0.319 (0.328) Data 0.001 (0.002) Loss 1.6130 (1.3379) Prec@1 64.062 (68.735) Prec@5 82.812 (87.131) Epoch: [81][2280/10010] Time 0.331 (0.328) Data 0.001 (0.002) Loss 1.5836 (1.3380) Prec@1 61.719 (68.728) Prec@5 83.594 (87.130) Epoch: [81][2290/10010] Time 0.326 (0.328) Data 0.001 (0.002) Loss 1.3749 (1.3380) Prec@1 66.406 (68.729) Prec@5 89.062 (87.133) Epoch: [81][2300/10010] Time 0.322 (0.328) Data 0.000 (0.002) Loss 1.3760 (1.3380) Prec@1 71.094 (68.734) Prec@5 86.719 (87.136) Epoch: [81][2310/10010] Time 0.339 (0.328) Data 0.001 (0.002) Loss 1.4316 (1.3383) Prec@1 65.625 (68.731) Prec@5 86.719 (87.133) Epoch: [81][2320/10010] Time 0.317 (0.328) Data 0.001 (0.002) Loss 1.0459 (1.3382) Prec@1 76.562 (68.731) Prec@5 92.969 (87.138) Epoch: [81][2330/10010] Time 0.340 (0.328) Data 0.001 (0.002) Loss 1.3265 (1.3383) Prec@1 74.219 (68.733) Prec@5 84.375 (87.139) Epoch: [81][2340/10010] Time 0.317 (0.328) Data 0.000 (0.002) Loss 1.3766 (1.3378) Prec@1 65.625 (68.741) Prec@5 85.938 (87.145) Epoch: [81][2350/10010] Time 0.316 (0.328) Data 0.001 (0.002) Loss 1.3295 (1.3377) Prec@1 70.312 (68.742) Prec@5 87.500 (87.143) Epoch: [81][2360/10010] Time 0.335 (0.328) Data 0.000 (0.002) Loss 1.2448 (1.3376) Prec@1 72.656 (68.742) Prec@5 89.844 (87.143) Epoch: [81][2370/10010] Time 0.314 (0.328) Data 0.001 (0.002) Loss 1.3742 (1.3377) Prec@1 65.625 (68.745) Prec@5 85.938 (87.142) Epoch: [81][2380/10010] Time 0.316 (0.328) Data 0.001 (0.002) Loss 1.3730 (1.3376) Prec@1 68.750 (68.746) Prec@5 86.719 (87.146) Epoch: [81][2390/10010] Time 0.315 (0.328) Data 0.001 (0.002) Loss 1.4215 (1.3378) Prec@1 64.844 (68.737) Prec@5 85.156 (87.147) Epoch: [81][2400/10010] Time 0.321 (0.328) Data 0.001 (0.002) Loss 1.4705 (1.3378) Prec@1 63.281 (68.737) Prec@5 85.156 (87.146) Epoch: [81][2410/10010] Time 0.325 (0.328) Data 0.001 (0.002) Loss 1.5351 (1.3379) Prec@1 64.844 (68.735) Prec@5 85.938 (87.146) Epoch: [81][2420/10010] Time 0.318 (0.328) Data 0.000 (0.002) Loss 1.1041 (1.3380) Prec@1 74.219 (68.735) Prec@5 90.625 (87.146) Epoch: [81][2430/10010] Time 0.341 (0.328) Data 0.001 (0.002) Loss 1.1845 (1.3377) Prec@1 72.656 (68.738) Prec@5 89.844 (87.153) Epoch: [81][2440/10010] Time 0.326 (0.328) Data 0.001 (0.002) Loss 1.5947 (1.3380) Prec@1 64.844 (68.730) Prec@5 84.375 (87.149) Epoch: [81][2450/10010] Time 0.324 (0.328) Data 0.001 (0.002) Loss 1.3529 (1.3384) Prec@1 67.969 (68.722) Prec@5 85.156 (87.148) Epoch: [81][2460/10010] Time 0.319 (0.327) Data 0.001 (0.002) Loss 1.6553 (1.3386) Prec@1 66.406 (68.722) Prec@5 83.594 (87.144) Epoch: [81][2470/10010] Time 0.316 (0.327) Data 0.001 (0.002) Loss 1.2121 (1.3386) Prec@1 69.531 (68.722) Prec@5 89.062 (87.145) Epoch: [81][2480/10010] Time 0.327 (0.327) Data 0.001 (0.002) Loss 1.8179 (1.3386) Prec@1 59.375 (68.722) Prec@5 80.469 (87.145) Epoch: [81][2490/10010] Time 0.327 (0.327) Data 0.001 (0.002) Loss 0.8550 (1.3382) Prec@1 80.469 (68.736) Prec@5 93.750 (87.151) Epoch: [81][2500/10010] Time 0.320 (0.327) Data 0.000 (0.002) Loss 1.4549 (1.3382) Prec@1 65.625 (68.736) Prec@5 83.594 (87.152) Epoch: [81][2510/10010] Time 0.328 (0.327) Data 0.001 (0.002) Loss 1.3187 (1.3381) Prec@1 71.094 (68.740) Prec@5 87.500 (87.152) Epoch: [81][2520/10010] Time 0.334 (0.327) Data 0.000 (0.002) Loss 1.2771 (1.3377) Prec@1 68.750 (68.753) Prec@5 85.938 (87.154) Epoch: [81][2530/10010] Time 0.326 (0.327) Data 0.001 (0.002) Loss 1.1540 (1.3379) Prec@1 68.750 (68.752) Prec@5 89.844 (87.145) Epoch: [81][2540/10010] Time 0.335 (0.327) Data 0.000 (0.002) Loss 1.2577 (1.3382) Prec@1 70.312 (68.742) Prec@5 89.844 (87.142) Epoch: [81][2550/10010] Time 0.318 (0.327) Data 0.000 (0.002) Loss 1.3191 (1.3381) Prec@1 74.219 (68.748) Prec@5 89.844 (87.142) Epoch: [81][2560/10010] Time 0.338 (0.327) Data 0.001 (0.002) Loss 1.2760 (1.3385) Prec@1 68.750 (68.741) Prec@5 86.719 (87.134) Epoch: [81][2570/10010] Time 0.320 (0.327) Data 0.001 (0.002) Loss 1.4430 (1.3387) Prec@1 67.969 (68.740) Prec@5 86.719 (87.133) Epoch: [81][2580/10010] Time 0.337 (0.327) Data 0.000 (0.002) Loss 1.3604 (1.3386) Prec@1 74.219 (68.742) Prec@5 87.500 (87.135) /data/vision/torralba/deepscene/lib/anaconda2/lib/python2.7/site-packages/PIL/TiffImagePlugin.py:692: UserWarning: Possibly corrupt EXIF data. Expecting to read 2555904 bytes but only got 0. Skipping tag 0 "Skipping tag %s" % (size, len(data), tag)) Epoch: [81][2590/10010] Time 0.316 (0.327) Data 0.001 (0.002) Loss 1.3048 (1.3386) Prec@1 71.875 (68.747) Prec@5 87.500 (87.135) Epoch: [81][2600/10010] Time 0.334 (0.327) Data 0.000 (0.002) Loss 1.1533 (1.3386) Prec@1 72.656 (68.746) Prec@5 89.062 (87.136) Epoch: [81][2610/10010] Time 0.334 (0.327) Data 0.001 (0.002) Loss 1.5941 (1.3388) Prec@1 62.500 (68.740) Prec@5 86.719 (87.136) Epoch: [81][2620/10010] Time 0.320 (0.327) Data 0.001 (0.002) Loss 1.6488 (1.3388) Prec@1 56.250 (68.740) Prec@5 82.812 (87.135) Epoch: [81][2630/10010] Time 0.330 (0.327) Data 0.000 (0.002) Loss 1.1841 (1.3387) Prec@1 69.531 (68.736) Prec@5 89.844 (87.136) Epoch: [81][2640/10010] Time 0.342 (0.327) Data 0.000 (0.002) Loss 1.4195 (1.3386) Prec@1 70.312 (68.738) Prec@5 87.500 (87.137) Epoch: [81][2650/10010] Time 0.321 (0.327) Data 0.001 (0.002) Loss 1.2878 (1.3385) Prec@1 69.531 (68.741) Prec@5 87.500 (87.136) Epoch: [81][2660/10010] Time 0.320 (0.327) Data 0.001 (0.002) Loss 1.4877 (1.3387) Prec@1 64.844 (68.741) Prec@5 84.375 (87.132) Epoch: [81][2670/10010] Time 0.334 (0.327) Data 0.001 (0.002) Loss 1.3619 (1.3391) Prec@1 63.281 (68.736) Prec@5 89.844 (87.129) Epoch: [81][2680/10010] Time 0.340 (0.327) Data 0.001 (0.002) Loss 1.3791 (1.3390) Prec@1 71.094 (68.734) Prec@5 85.938 (87.131) Epoch: [81][2690/10010] Time 0.320 (0.327) Data 0.001 (0.002) Loss 1.4597 (1.3390) Prec@1 64.844 (68.736) Prec@5 89.062 (87.130) Epoch: [81][2700/10010] Time 0.329 (0.327) Data 0.001 (0.002) Loss 1.2118 (1.3393) Prec@1 71.094 (68.729) Prec@5 85.156 (87.126) Epoch: [81][2710/10010] Time 0.318 (0.327) Data 0.001 (0.002) Loss 1.3058 (1.3395) Prec@1 63.281 (68.723) Prec@5 88.281 (87.121) Epoch: [81][2720/10010] Time 0.333 (0.327) Data 0.001 (0.002) Loss 1.2045 (1.3398) Prec@1 70.312 (68.714) Prec@5 87.500 (87.116) Epoch: [81][2730/10010] Time 0.314 (0.327) Data 0.001 (0.002) Loss 1.2374 (1.3399) Prec@1 75.781 (68.720) Prec@5 87.500 (87.115) Epoch: [81][2740/10010] Time 0.337 (0.327) Data 0.001 (0.002) Loss 1.3548 (1.3401) Prec@1 71.094 (68.717) Prec@5 86.719 (87.108) Epoch: [81][2750/10010] Time 0.320 (0.327) Data 0.001 (0.002) Loss 1.5933 (1.3401) Prec@1 64.844 (68.715) Prec@5 80.469 (87.104) Epoch: [81][2760/10010] Time 0.322 (0.327) Data 0.001 (0.002) Loss 1.3249 (1.3401) Prec@1 67.969 (68.723) Prec@5 85.938 (87.102) Epoch: [81][2770/10010] Time 0.338 (0.327) Data 0.000 (0.002) Loss 1.4081 (1.3401) Prec@1 67.188 (68.723) Prec@5 88.281 (87.101) Epoch: [81][2780/10010] Time 0.323 (0.327) Data 0.001 (0.002) Loss 1.0517 (1.3400) Prec@1 75.000 (68.728) Prec@5 90.625 (87.101) Epoch: [81][2790/10010] Time 0.317 (0.327) Data 0.001 (0.002) Loss 1.3807 (1.3400) Prec@1 65.625 (68.721) Prec@5 85.938 (87.101) Epoch: [81][2800/10010] Time 0.321 (0.327) Data 0.000 (0.002) Loss 1.6733 (1.3401) Prec@1 66.406 (68.723) Prec@5 82.031 (87.101) Epoch: [81][2810/10010] Time 0.329 (0.327) Data 0.000 (0.002) Loss 1.2664 (1.3402) Prec@1 71.875 (68.723) Prec@5 85.938 (87.100) Epoch: [81][2820/10010] Time 0.319 (0.327) Data 0.001 (0.002) Loss 1.1514 (1.3401) Prec@1 73.438 (68.722) Prec@5 88.281 (87.099) Epoch: [81][2830/10010] Time 0.336 (0.327) Data 0.001 (0.002) Loss 1.4424 (1.3402) Prec@1 66.406 (68.723) Prec@5 88.281 (87.097) Epoch: [81][2840/10010] Time 0.314 (0.327) Data 0.000 (0.002) Loss 1.2989 (1.3403) Prec@1 68.750 (68.720) Prec@5 86.719 (87.094) Epoch: [81][2850/10010] Time 0.313 (0.327) Data 0.001 (0.002) Loss 1.2442 (1.3404) Prec@1 71.094 (68.718) Prec@5 87.500 (87.093) Epoch: [81][2860/10010] Time 0.323 (0.327) Data 0.001 (0.002) Loss 1.4459 (1.3403) Prec@1 65.625 (68.720) Prec@5 84.375 (87.097) Epoch: [81][2870/10010] Time 0.323 (0.327) Data 0.001 (0.002) Loss 1.3692 (1.3406) Prec@1 73.438 (68.715) Prec@5 87.500 (87.095) Epoch: [81][2880/10010] Time 0.320 (0.327) Data 0.001 (0.002) Loss 1.3092 (1.3404) Prec@1 74.219 (68.720) Prec@5 88.281 (87.096) Epoch: [81][2890/10010] Time 0.330 (0.327) Data 0.001 (0.002) Loss 1.5976 (1.3404) Prec@1 65.625 (68.723) Prec@5 84.375 (87.099) Epoch: [81][2900/10010] Time 0.325 (0.327) Data 0.001 (0.002) Loss 1.5134 (1.3405) Prec@1 64.062 (68.720) Prec@5 84.375 (87.096) Epoch: [81][2910/10010] Time 0.312 (0.327) Data 0.001 (0.002) Loss 1.2799 (1.3405) Prec@1 75.000 (68.722) Prec@5 87.500 (87.097) Epoch: [81][2920/10010] Time 0.331 (0.327) Data 0.001 (0.001) Loss 1.7313 (1.3406) Prec@1 60.156 (68.718) Prec@5 79.688 (87.094) /data/vision/torralba/deepscene/lib/anaconda2/lib/python2.7/site-packages/PIL/TiffImagePlugin.py:692: UserWarning: Possibly corrupt EXIF data. Expecting to read 2555904 bytes but only got 0. Skipping tag 0 "Skipping tag %s" % (size, len(data), tag)) Epoch: [81][2930/10010] Time 0.312 (0.327) Data 0.001 (0.001) Loss 1.2277 (1.3404) Prec@1 74.219 (68.724) Prec@5 89.844 (87.096) Epoch: [81][2940/10010] Time 0.320 (0.327) Data 0.000 (0.001) Loss 1.6526 (1.3407) Prec@1 62.500 (68.720) Prec@5 85.156 (87.092) Epoch: [81][2950/10010] Time 0.323 (0.327) Data 0.001 (0.001) Loss 1.3674 (1.3406) Prec@1 70.312 (68.725) Prec@5 86.719 (87.093) Epoch: [81][2960/10010] Time 0.324 (0.327) Data 0.001 (0.001) Loss 1.7893 (1.3407) Prec@1 60.938 (68.719) Prec@5 81.250 (87.094) Epoch: [81][2970/10010] Time 0.318 (0.327) Data 0.001 (0.001) Loss 1.1183 (1.3405) Prec@1 67.188 (68.721) Prec@5 93.750 (87.101) Epoch: [81][2980/10010] Time 0.319 (0.327) Data 0.001 (0.001) Loss 1.4824 (1.3405) Prec@1 64.844 (68.721) Prec@5 86.719 (87.105) Epoch: [81][2990/10010] Time 0.321 (0.327) Data 0.000 (0.001) Loss 1.2532 (1.3407) Prec@1 70.312 (68.715) Prec@5 89.062 (87.101) Epoch: [81][3000/10010] Time 0.332 (0.327) Data 0.001 (0.001) Loss 1.2055 (1.3409) Prec@1 71.094 (68.707) Prec@5 89.062 (87.097) Epoch: [81][3010/10010] Time 0.319 (0.327) Data 0.000 (0.001) Loss 1.3251 (1.3411) Prec@1 70.312 (68.705) Prec@5 87.500 (87.094) Epoch: [81][3020/10010] Time 0.341 (0.327) Data 0.000 (0.001) Loss 1.2230 (1.3412) Prec@1 70.312 (68.708) Prec@5 89.844 (87.092) Epoch: [81][3030/10010] Time 0.316 (0.327) Data 0.001 (0.001) Loss 1.1798 (1.3411) Prec@1 71.094 (68.713) Prec@5 92.188 (87.091) Epoch: [81][3040/10010] Time 0.324 (0.327) Data 0.000 (0.001) Loss 1.3353 (1.3410) Prec@1 67.969 (68.717) Prec@5 85.156 (87.092) Epoch: [81][3050/10010] Time 0.322 (0.327) Data 0.001 (0.001) Loss 1.6766 (1.3410) Prec@1 60.938 (68.721) Prec@5 82.812 (87.092) Epoch: [81][3060/10010] Time 0.314 (0.327) Data 0.000 (0.001) Loss 1.2824 (1.3410) Prec@1 67.188 (68.720) Prec@5 87.500 (87.093) Epoch: [81][3070/10010] Time 0.310 (0.327) Data 0.001 (0.001) Loss 1.3270 (1.3412) Prec@1 69.531 (68.717) Prec@5 85.938 (87.092) Epoch: [81][3080/10010] Time 0.318 (0.327) Data 0.001 (0.001) Loss 1.4657 (1.3412) Prec@1 65.625 (68.717) Prec@5 84.375 (87.093) Epoch: [81][3090/10010] Time 0.328 (0.327) Data 0.001 (0.001) Loss 1.6359 (1.3413) Prec@1 67.188 (68.717) Prec@5 82.812 (87.088) Epoch: [81][3100/10010] Time 0.321 (0.327) Data 0.000 (0.001) Loss 1.4830 (1.3413) Prec@1 65.625 (68.715) Prec@5 85.156 (87.089) Epoch: [81][3110/10010] Time 0.325 (0.327) Data 0.001 (0.001) Loss 1.3146 (1.3413) Prec@1 65.625 (68.711) Prec@5 89.844 (87.090) Epoch: [81][3120/10010] Time 0.334 (0.327) Data 0.001 (0.001) Loss 1.1770 (1.3414) Prec@1 71.094 (68.706) Prec@5 89.062 (87.086) Epoch: [81][3130/10010] Time 0.313 (0.327) Data 0.001 (0.001) Loss 1.2099 (1.3415) Prec@1 74.219 (68.701) Prec@5 89.844 (87.082) Epoch: [81][3140/10010] Time 0.324 (0.327) Data 0.001 (0.001) Loss 1.1801 (1.3414) Prec@1 75.000 (68.704) Prec@5 89.062 (87.088) Epoch: [81][3150/10010] Time 0.336 (0.327) Data 0.001 (0.001) Loss 1.0293 (1.3416) Prec@1 70.312 (68.702) Prec@5 94.531 (87.090) Epoch: [81][3160/10010] Time 0.327 (0.327) Data 0.001 (0.001) Loss 1.3682 (1.3415) Prec@1 67.188 (68.704) Prec@5 84.375 (87.092) Epoch: [81][3170/10010] Time 0.331 (0.327) Data 0.001 (0.001) Loss 1.0715 (1.3414) Prec@1 75.000 (68.707) Prec@5 89.844 (87.090) Epoch: [81][3180/10010] Time 0.327 (0.327) Data 0.001 (0.001) Loss 1.4367 (1.3414) Prec@1 64.844 (68.709) Prec@5 87.500 (87.091) Epoch: [81][3190/10010] Time 0.329 (0.327) Data 0.001 (0.001) Loss 1.0941 (1.3413) Prec@1 73.438 (68.708) Prec@5 93.750 (87.095) Epoch: [81][3200/10010] Time 0.337 (0.327) Data 0.001 (0.001) Loss 1.1487 (1.3412) Prec@1 75.000 (68.714) Prec@5 90.625 (87.098) Epoch: [81][3210/10010] Time 0.329 (0.327) Data 0.000 (0.001) Loss 1.3693 (1.3411) Prec@1 66.406 (68.716) Prec@5 89.062 (87.101) Epoch: [81][3220/10010] Time 0.325 (0.327) Data 0.001 (0.001) Loss 1.3510 (1.3409) Prec@1 70.312 (68.715) Prec@5 89.062 (87.102) Epoch: [81][3230/10010] Time 0.332 (0.327) Data 0.000 (0.001) Loss 1.3655 (1.3413) Prec@1 69.531 (68.709) Prec@5 88.281 (87.099) Epoch: [81][3240/10010] Time 0.316 (0.327) Data 0.001 (0.001) Loss 1.3086 (1.3414) Prec@1 69.531 (68.709) Prec@5 88.281 (87.100) Epoch: [81][3250/10010] Time 0.332 (0.327) Data 0.001 (0.001) Loss 1.3755 (1.3413) Prec@1 71.094 (68.713) Prec@5 88.281 (87.100) Epoch: [81][3260/10010] Time 0.329 (0.327) Data 0.001 (0.001) Loss 1.1764 (1.3416) Prec@1 70.312 (68.706) Prec@5 90.625 (87.098) Epoch: [81][3270/10010] Time 0.345 (0.327) Data 0.000 (0.001) Loss 1.6171 (1.3416) Prec@1 62.500 (68.701) Prec@5 85.156 (87.097) Epoch: [81][3280/10010] Time 0.327 (0.327) Data 0.001 (0.001) Loss 1.3636 (1.3417) Prec@1 66.406 (68.697) Prec@5 87.500 (87.095) Epoch: [81][3290/10010] Time 0.330 (0.327) Data 0.000 (0.001) Loss 1.3260 (1.3418) Prec@1 67.969 (68.694) Prec@5 87.500 (87.095) Epoch: [81][3300/10010] Time 0.340 (0.327) Data 0.000 (0.001) Loss 1.4417 (1.3417) Prec@1 68.750 (68.697) Prec@5 83.594 (87.091) Epoch: [81][3310/10010] Time 0.321 (0.327) Data 0.001 (0.001) Loss 1.2400 (1.3418) Prec@1 74.219 (68.701) Prec@5 87.500 (87.090) Epoch: [81][3320/10010] Time 0.323 (0.327) Data 0.000 (0.001) Loss 1.5745 (1.3421) Prec@1 67.188 (68.694) Prec@5 79.688 (87.085) Epoch: [81][3330/10010] Time 0.314 (0.327) Data 0.001 (0.001) Loss 1.2418 (1.3420) Prec@1 68.750 (68.701) Prec@5 85.938 (87.084) Epoch: [81][3340/10010] Time 0.320 (0.327) Data 0.001 (0.001) Loss 1.2350 (1.3419) Prec@1 73.438 (68.706) Prec@5 89.844 (87.083) Epoch: [81][3350/10010] Time 0.335 (0.327) Data 0.000 (0.001) Loss 1.2870 (1.3419) Prec@1 73.438 (68.706) Prec@5 85.938 (87.083) Epoch: [81][3360/10010] Time 0.342 (0.327) Data 0.000 (0.001) Loss 1.2224 (1.3419) Prec@1 73.438 (68.707) Prec@5 86.719 (87.081) Epoch: [81][3370/10010] Time 0.339 (0.327) Data 0.000 (0.001) Loss 1.4005 (1.3419) Prec@1 60.938 (68.707) Prec@5 85.156 (87.081) Epoch: [81][3380/10010] Time 0.317 (0.327) Data 0.001 (0.001) Loss 1.3738 (1.3422) Prec@1 65.625 (68.700) Prec@5 88.281 (87.079) Epoch: [81][3390/10010] Time 0.321 (0.327) Data 0.001 (0.001) Loss 1.3616 (1.3420) Prec@1 71.875 (68.709) Prec@5 86.719 (87.080) Epoch: [81][3400/10010] Time 0.342 (0.327) Data 0.001 (0.001) Loss 1.2391 (1.3420) Prec@1 75.781 (68.716) Prec@5 89.062 (87.078) Epoch: [81][3410/10010] Time 0.331 (0.327) Data 0.000 (0.001) Loss 1.4215 (1.3422) Prec@1 64.844 (68.711) Prec@5 86.719 (87.075) Epoch: [81][3420/10010] Time 0.321 (0.327) Data 0.000 (0.001) Loss 1.5650 (1.3424) Prec@1 67.969 (68.712) Prec@5 84.375 (87.073) Epoch: [81][3430/10010] Time 0.314 (0.327) Data 0.001 (0.001) Loss 1.3151 (1.3423) Prec@1 67.969 (68.710) Prec@5 88.281 (87.074) Epoch: [81][3440/10010] Time 0.321 (0.327) Data 0.000 (0.001) Loss 1.3778 (1.3426) Prec@1 66.406 (68.705) Prec@5 89.062 (87.071) Epoch: [81][3450/10010] Time 0.334 (0.327) Data 0.000 (0.001) Loss 1.4745 (1.3426) Prec@1 66.406 (68.700) Prec@5 85.938 (87.073) Epoch: [81][3460/10010] Time 0.338 (0.327) Data 0.001 (0.001) Loss 1.3136 (1.3427) Prec@1 70.312 (68.700) Prec@5 85.938 (87.074) Epoch: [81][3470/10010] Time 0.330 (0.327) Data 0.000 (0.001) Loss 1.0906 (1.3426) Prec@1 75.781 (68.704) Prec@5 92.969 (87.076) Epoch: [81][3480/10010] Time 0.320 (0.327) Data 0.001 (0.001) Loss 1.3216 (1.3427) Prec@1 71.875 (68.702) Prec@5 82.812 (87.073) Epoch: [81][3490/10010] Time 0.331 (0.327) Data 0.000 (0.001) Loss 1.3671 (1.3427) Prec@1 67.188 (68.702) Prec@5 86.719 (87.070) Epoch: [81][3500/10010] Time 0.341 (0.327) Data 0.001 (0.001) Loss 1.5625 (1.3427) Prec@1 65.625 (68.705) Prec@5 82.031 (87.068) Epoch: [81][3510/10010] Time 0.311 (0.327) Data 0.001 (0.001) Loss 1.3211 (1.3427) Prec@1 63.281 (68.703) Prec@5 89.062 (87.070) Epoch: [81][3520/10010] Time 0.324 (0.327) Data 0.000 (0.001) Loss 1.4147 (1.3426) Prec@1 65.625 (68.704) Prec@5 85.156 (87.070) Epoch: [81][3530/10010] Time 0.319 (0.327) Data 0.000 (0.001) Loss 1.5891 (1.3427) Prec@1 59.375 (68.704) Prec@5 83.594 (87.069) Epoch: [81][3540/10010] Time 0.341 (0.327) Data 0.000 (0.001) Loss 1.5332 (1.3428) Prec@1 64.844 (68.701) Prec@5 84.375 (87.066) Epoch: [81][3550/10010] Time 0.316 (0.327) Data 0.001 (0.001) Loss 1.2711 (1.3427) Prec@1 67.969 (68.704) Prec@5 90.625 (87.070) Epoch: [81][3560/10010] Time 0.337 (0.327) Data 0.000 (0.001) Loss 1.5178 (1.3427) Prec@1 65.625 (68.702) Prec@5 85.156 (87.069) Epoch: [81][3570/10010] Time 0.314 (0.327) Data 0.000 (0.001) Loss 1.2068 (1.3426) Prec@1 70.312 (68.703) Prec@5 88.281 (87.071) Epoch: [81][3580/10010] Time 0.325 (0.327) Data 0.001 (0.001) Loss 1.1448 (1.3427) Prec@1 73.438 (68.699) Prec@5 85.938 (87.070) Epoch: [81][3590/10010] Time 0.319 (0.327) Data 0.000 (0.001) Loss 1.4552 (1.3427) Prec@1 64.062 (68.695) Prec@5 84.375 (87.069) Epoch: [81][3600/10010] Time 0.330 (0.327) Data 0.001 (0.001) Loss 1.1375 (1.3429) Prec@1 76.562 (68.694) Prec@5 86.719 (87.061) Epoch: [81][3610/10010] Time 0.320 (0.327) Data 0.001 (0.001) Loss 1.4219 (1.3431) Prec@1 67.969 (68.690) Prec@5 85.938 (87.058) Epoch: [81][3620/10010] Time 0.314 (0.327) Data 0.000 (0.001) Loss 1.2711 (1.3429) Prec@1 71.094 (68.690) Prec@5 90.625 (87.061) Epoch: [81][3630/10010] Time 0.338 (0.327) Data 0.001 (0.001) Loss 1.4791 (1.3431) Prec@1 67.188 (68.688) Prec@5 86.719 (87.056) Epoch: [81][3640/10010] Time 0.334 (0.327) Data 0.000 (0.001) Loss 1.5278 (1.3432) Prec@1 70.312 (68.689) Prec@5 83.594 (87.052) Epoch: [81][3650/10010] Time 0.322 (0.327) Data 0.000 (0.001) Loss 1.3667 (1.3432) Prec@1 67.969 (68.692) Prec@5 86.719 (87.052) Epoch: [81][3660/10010] Time 0.334 (0.327) Data 0.000 (0.001) Loss 1.2572 (1.3430) Prec@1 70.312 (68.696) Prec@5 87.500 (87.054) Epoch: [81][3670/10010] Time 0.316 (0.327) Data 0.001 (0.001) Loss 1.6058 (1.3432) Prec@1 67.188 (68.689) Prec@5 82.812 (87.052) Epoch: [81][3680/10010] Time 0.317 (0.327) Data 0.000 (0.001) Loss 1.0700 (1.3432) Prec@1 75.000 (68.688) Prec@5 92.188 (87.054) Epoch: [81][3690/10010] Time 0.314 (0.327) Data 0.001 (0.001) Loss 1.3666 (1.3432) Prec@1 68.750 (68.686) Prec@5 87.500 (87.054) Epoch: [81][3700/10010] Time 0.332 (0.327) Data 0.001 (0.001) Loss 1.3205 (1.3433) Prec@1 67.188 (68.684) Prec@5 89.062 (87.052) Epoch: [81][3710/10010] Time 0.326 (0.327) Data 0.001 (0.001) Loss 1.2760 (1.3433) Prec@1 64.062 (68.683) Prec@5 88.281 (87.052) Epoch: [81][3720/10010] Time 0.319 (0.327) Data 0.001 (0.001) Loss 1.3997 (1.3434) Prec@1 65.625 (68.679) Prec@5 88.281 (87.051) Epoch: [81][3730/10010] Time 0.317 (0.327) Data 0.001 (0.001) Loss 1.1893 (1.3435) Prec@1 74.219 (68.681) Prec@5 90.625 (87.047) Epoch: [81][3740/10010] Time 0.325 (0.327) Data 0.000 (0.001) Loss 1.2627 (1.3434) Prec@1 68.750 (68.684) Prec@5 89.844 (87.050) Epoch: [81][3750/10010] Time 0.317 (0.327) Data 0.001 (0.001) Loss 1.1973 (1.3434) Prec@1 73.438 (68.685) Prec@5 89.062 (87.048) Epoch: [81][3760/10010] Time 0.313 (0.327) Data 0.001 (0.001) Loss 1.2989 (1.3434) Prec@1 70.312 (68.682) Prec@5 87.500 (87.049) Epoch: [81][3770/10010] Time 0.334 (0.327) Data 0.001 (0.001) Loss 1.3495 (1.3435) Prec@1 71.875 (68.682) Prec@5 84.375 (87.046) Epoch: [81][3780/10010] Time 0.320 (0.327) Data 0.001 (0.001) Loss 1.3188 (1.3433) Prec@1 71.094 (68.688) Prec@5 86.719 (87.048) Epoch: [81][3790/10010] Time 0.324 (0.327) Data 0.001 (0.001) Loss 1.4473 (1.3435) Prec@1 62.500 (68.682) Prec@5 86.719 (87.044) Epoch: [81][3800/10010] Time 0.329 (0.327) Data 0.001 (0.001) Loss 1.4048 (1.3436) Prec@1 66.406 (68.682) Prec@5 87.500 (87.042) Epoch: [81][3810/10010] Time 0.333 (0.327) Data 0.000 (0.001) Loss 1.4697 (1.3436) Prec@1 71.094 (68.684) Prec@5 83.594 (87.043) Epoch: [81][3820/10010] Time 0.314 (0.327) Data 0.001 (0.001) Loss 1.3585 (1.3436) Prec@1 70.312 (68.683) Prec@5 85.938 (87.043) Epoch: [81][3830/10010] Time 0.315 (0.327) Data 0.000 (0.001) Loss 1.4021 (1.3436) Prec@1 68.750 (68.681) Prec@5 85.938 (87.043) Epoch: [81][3840/10010] Time 0.333 (0.327) Data 0.001 (0.001) Loss 1.2834 (1.3434) Prec@1 70.312 (68.686) Prec@5 85.156 (87.046) Epoch: [81][3850/10010] Time 0.340 (0.327) Data 0.000 (0.001) Loss 1.2398 (1.3434) Prec@1 73.438 (68.689) Prec@5 90.625 (87.046) Epoch: [81][3860/10010] Time 0.319 (0.327) Data 0.001 (0.001) Loss 1.3417 (1.3435) Prec@1 71.094 (68.686) Prec@5 84.375 (87.046) Epoch: [81][3870/10010] Time 0.332 (0.327) Data 0.000 (0.001) Loss 1.0713 (1.3434) Prec@1 74.219 (68.688) Prec@5 90.625 (87.049) Epoch: [81][3880/10010] Time 0.330 (0.327) Data 0.001 (0.001) Loss 1.4443 (1.3435) Prec@1 65.625 (68.686) Prec@5 88.281 (87.048) Epoch: [81][3890/10010] Time 0.319 (0.327) Data 0.000 (0.001) Loss 1.3665 (1.3434) Prec@1 69.531 (68.692) Prec@5 85.156 (87.047) Epoch: [81][3900/10010] Time 0.330 (0.327) Data 0.001 (0.001) Loss 1.4048 (1.3433) Prec@1 69.531 (68.696) Prec@5 84.375 (87.050) Epoch: [81][3910/10010] Time 0.336 (0.327) Data 0.000 (0.001) Loss 1.2151 (1.3432) Prec@1 71.094 (68.696) Prec@5 86.719 (87.052) Epoch: [81][3920/10010] Time 0.336 (0.327) Data 0.001 (0.001) Loss 1.1007 (1.3432) Prec@1 74.219 (68.696) Prec@5 88.281 (87.049) Epoch: [81][3930/10010] Time 0.334 (0.327) Data 0.001 (0.001) Loss 1.2745 (1.3431) Prec@1 73.438 (68.696) Prec@5 86.719 (87.047) Epoch: [81][3940/10010] Time 0.333 (0.327) Data 0.000 (0.001) Loss 1.3169 (1.3430) Prec@1 66.406 (68.698) Prec@5 88.281 (87.050) Epoch: [81][3950/10010] Time 0.327 (0.327) Data 0.000 (0.001) Loss 1.4753 (1.3429) Prec@1 64.844 (68.702) Prec@5 83.594 (87.051) Epoch: [81][3960/10010] Time 0.312 (0.327) Data 0.001 (0.001) Loss 1.2872 (1.3432) Prec@1 68.750 (68.698) Prec@5 87.500 (87.048) Epoch: [81][3970/10010] Time 0.343 (0.327) Data 0.000 (0.001) Loss 1.4095 (1.3433) Prec@1 65.625 (68.697) Prec@5 84.375 (87.044) Epoch: [81][3980/10010] Time 0.331 (0.327) Data 0.000 (0.001) Loss 1.7672 (1.3435) Prec@1 60.938 (68.693) Prec@5 78.125 (87.041) Epoch: [81][3990/10010] Time 0.314 (0.327) Data 0.000 (0.001) Loss 1.1156 (1.3436) Prec@1 75.781 (68.689) Prec@5 89.844 (87.040) Epoch: [81][4000/10010] Time 0.340 (0.327) Data 0.000 (0.001) Loss 1.2685 (1.3436) Prec@1 67.188 (68.686) Prec@5 89.062 (87.041) Epoch: [81][4010/10010] Time 0.314 (0.327) Data 0.001 (0.001) Loss 1.1814 (1.3436) Prec@1 71.875 (68.687) Prec@5 89.062 (87.042) Epoch: [81][4020/10010] Time 0.324 (0.327) Data 0.000 (0.001) Loss 1.5455 (1.3435) Prec@1 67.188 (68.690) Prec@5 83.594 (87.043) Epoch: [81][4030/10010] Time 0.332 (0.327) Data 0.001 (0.001) Loss 1.3520 (1.3435) Prec@1 66.406 (68.685) Prec@5 87.500 (87.042) Epoch: [81][4040/10010] Time 0.335 (0.327) Data 0.000 (0.001) Loss 1.3775 (1.3439) Prec@1 67.969 (68.680) Prec@5 85.156 (87.035) Epoch: [81][4050/10010] Time 0.327 (0.327) Data 0.000 (0.001) Loss 1.3264 (1.3439) Prec@1 65.625 (68.679) Prec@5 85.156 (87.030) Epoch: [81][4060/10010] Time 0.312 (0.327) Data 0.001 (0.001) Loss 1.4014 (1.3439) Prec@1 64.062 (68.677) Prec@5 85.156 (87.030) Epoch: [81][4070/10010] Time 0.310 (0.327) Data 0.001 (0.001) Loss 1.2347 (1.3438) Prec@1 70.312 (68.677) Prec@5 91.406 (87.036) Epoch: [81][4080/10010] Time 0.312 (0.327) Data 0.000 (0.001) Loss 1.2134 (1.3437) Prec@1 72.656 (68.679) Prec@5 87.500 (87.036) Epoch: [81][4090/10010] Time 0.334 (0.327) Data 0.001 (0.001) Loss 1.3926 (1.3437) Prec@1 69.531 (68.679) Prec@5 83.594 (87.037) Epoch: [81][4100/10010] Time 0.333 (0.327) Data 0.001 (0.001) Loss 1.1807 (1.3436) Prec@1 68.750 (68.680) Prec@5 89.062 (87.039) Epoch: [81][4110/10010] Time 0.338 (0.327) Data 0.001 (0.001) Loss 1.3611 (1.3437) Prec@1 64.844 (68.677) Prec@5 86.719 (87.038) Epoch: [81][4120/10010] Time 0.318 (0.327) Data 0.000 (0.001) Loss 1.4277 (1.3437) Prec@1 64.844 (68.673) Prec@5 84.375 (87.037) Epoch: [81][4130/10010] Time 0.318 (0.327) Data 0.000 (0.001) Loss 1.2545 (1.3436) Prec@1 69.531 (68.675) Prec@5 85.938 (87.038) Epoch: [81][4140/10010] Time 0.328 (0.327) Data 0.000 (0.001) Loss 1.2337 (1.3437) Prec@1 71.875 (68.673) Prec@5 89.062 (87.038) Epoch: [81][4150/10010] Time 0.313 (0.327) Data 0.001 (0.001) Loss 1.3418 (1.3436) Prec@1 62.500 (68.675) Prec@5 88.281 (87.039) Epoch: [81][4160/10010] Time 0.335 (0.327) Data 0.001 (0.001) Loss 1.5553 (1.3437) Prec@1 67.188 (68.674) Prec@5 82.812 (87.040) Epoch: [81][4170/10010] Time 0.319 (0.327) Data 0.001 (0.001) Loss 1.1708 (1.3438) Prec@1 74.219 (68.675) Prec@5 89.062 (87.041) Epoch: [81][4180/10010] Time 0.324 (0.327) Data 0.001 (0.001) Loss 1.4997 (1.3437) Prec@1 67.188 (68.677) Prec@5 79.688 (87.041) Epoch: [81][4190/10010] Time 0.340 (0.327) Data 0.001 (0.001) Loss 1.3091 (1.3435) Prec@1 71.094 (68.679) Prec@5 87.500 (87.041) Epoch: [81][4200/10010] Time 0.322 (0.327) Data 0.000 (0.001) Loss 1.3235 (1.3434) Prec@1 71.875 (68.682) Prec@5 88.281 (87.041) Epoch: [81][4210/10010] Time 0.334 (0.327) Data 0.000 (0.001) Loss 1.2669 (1.3437) Prec@1 70.312 (68.681) Prec@5 87.500 (87.037) Epoch: [81][4220/10010] Time 0.324 (0.327) Data 0.001 (0.001) Loss 1.5572 (1.3437) Prec@1 64.062 (68.680) Prec@5 85.156 (87.038) Epoch: [81][4230/10010] Time 0.322 (0.327) Data 0.001 (0.001) Loss 1.1481 (1.3433) Prec@1 72.656 (68.687) Prec@5 91.406 (87.045) Epoch: [81][4240/10010] Time 0.329 (0.327) Data 0.000 (0.001) Loss 1.2326 (1.3434) Prec@1 66.406 (68.685) Prec@5 90.625 (87.044) Epoch: [81][4250/10010] Time 0.323 (0.327) Data 0.001 (0.001) Loss 1.5204 (1.3434) Prec@1 64.844 (68.687) Prec@5 83.594 (87.044) Epoch: [81][4260/10010] Time 0.326 (0.327) Data 0.001 (0.001) Loss 1.2650 (1.3432) Prec@1 68.750 (68.691) Prec@5 85.156 (87.045) Epoch: [81][4270/10010] Time 0.329 (0.327) Data 0.001 (0.001) Loss 1.4885 (1.3431) Prec@1 64.062 (68.695) Prec@5 88.281 (87.047) Epoch: [81][4280/10010] Time 0.314 (0.327) Data 0.001 (0.001) Loss 1.2223 (1.3431) Prec@1 72.656 (68.697) Prec@5 89.062 (87.045) Epoch: [81][4290/10010] Time 0.334 (0.327) Data 0.000 (0.001) Loss 1.5736 (1.3432) Prec@1 63.281 (68.693) Prec@5 82.812 (87.042) Epoch: [81][4300/10010] Time 0.326 (0.327) Data 0.001 (0.001) Loss 1.3296 (1.3431) Prec@1 66.406 (68.694) Prec@5 87.500 (87.045) Epoch: [81][4310/10010] Time 0.331 (0.327) Data 0.001 (0.001) Loss 1.2547 (1.3431) Prec@1 72.656 (68.693) Prec@5 87.500 (87.045) Epoch: [81][4320/10010] Time 0.314 (0.327) Data 0.000 (0.001) Loss 1.6815 (1.3431) Prec@1 61.719 (68.691) Prec@5 82.812 (87.045) Epoch: [81][4330/10010] Time 0.340 (0.327) Data 0.000 (0.001) Loss 1.4393 (1.3432) Prec@1 69.531 (68.692) Prec@5 85.938 (87.044) Epoch: [81][4340/10010] Time 0.327 (0.327) Data 0.001 (0.001) Loss 1.2308 (1.3432) Prec@1 71.094 (68.691) Prec@5 87.500 (87.044) Epoch: [81][4350/10010] Time 0.319 (0.327) Data 0.001 (0.001) Loss 1.4964 (1.3432) Prec@1 65.625 (68.691) Prec@5 84.375 (87.045) Epoch: [81][4360/10010] Time 0.323 (0.327) Data 0.000 (0.001) Loss 1.1984 (1.3434) Prec@1 74.219 (68.689) Prec@5 90.625 (87.045) Epoch: [81][4370/10010] Time 0.318 (0.327) Data 0.001 (0.001) Loss 1.3244 (1.3434) Prec@1 65.625 (68.688) Prec@5 90.625 (87.046) Epoch: [81][4380/10010] Time 0.316 (0.327) Data 0.001 (0.001) Loss 1.3574 (1.3436) Prec@1 65.625 (68.681) Prec@5 86.719 (87.043) Epoch: [81][4390/10010] Time 0.326 (0.327) Data 0.001 (0.001) Loss 1.3098 (1.3434) Prec@1 70.312 (68.688) Prec@5 84.375 (87.045) Epoch: [81][4400/10010] Time 0.333 (0.327) Data 0.000 (0.001) Loss 1.2213 (1.3433) Prec@1 75.000 (68.689) Prec@5 90.625 (87.045) Epoch: [81][4410/10010] Time 0.327 (0.327) Data 0.000 (0.001) Loss 1.4203 (1.3435) Prec@1 63.281 (68.686) Prec@5 86.719 (87.042) Epoch: [81][4420/10010] Time 0.318 (0.327) Data 0.001 (0.001) Loss 1.5395 (1.3437) Prec@1 61.719 (68.683) Prec@5 85.156 (87.039) Epoch: [81][4430/10010] Time 0.317 (0.327) Data 0.000 (0.001) Loss 1.3332 (1.3438) Prec@1 65.625 (68.681) Prec@5 89.062 (87.038) Epoch: [81][4440/10010] Time 0.334 (0.327) Data 0.001 (0.001) Loss 1.4321 (1.3438) Prec@1 67.969 (68.685) Prec@5 89.062 (87.038) Epoch: [81][4450/10010] Time 0.335 (0.327) Data 0.001 (0.001) Loss 1.4176 (1.3438) Prec@1 68.750 (68.688) Prec@5 85.156 (87.038) Epoch: [81][4460/10010] Time 0.315 (0.327) Data 0.001 (0.001) Loss 1.1974 (1.3437) Prec@1 74.219 (68.690) Prec@5 90.625 (87.040) Epoch: [81][4470/10010] Time 0.328 (0.327) Data 0.001 (0.001) Loss 1.4532 (1.3438) Prec@1 69.531 (68.688) Prec@5 85.156 (87.040) Epoch: [81][4480/10010] Time 0.328 (0.327) Data 0.001 (0.001) Loss 1.3589 (1.3437) Prec@1 72.656 (68.690) Prec@5 89.062 (87.041) Epoch: [81][4490/10010] Time 0.321 (0.327) Data 0.000 (0.001) Loss 1.2462 (1.3439) Prec@1 71.875 (68.688) Prec@5 87.500 (87.038) Epoch: [81][4500/10010] Time 0.325 (0.327) Data 0.001 (0.001) Loss 1.4481 (1.3437) Prec@1 70.312 (68.690) Prec@5 88.281 (87.041) Epoch: [81][4510/10010] Time 0.340 (0.327) Data 0.001 (0.001) Loss 1.0942 (1.3438) Prec@1 75.000 (68.689) Prec@5 89.062 (87.039) Epoch: [81][4520/10010] Time 0.320 (0.327) Data 0.001 (0.001) Loss 1.4414 (1.3438) Prec@1 66.406 (68.687) Prec@5 85.938 (87.041) Epoch: [81][4530/10010] Time 0.318 (0.327) Data 0.000 (0.001) Loss 1.2900 (1.3439) Prec@1 65.625 (68.687) Prec@5 88.281 (87.037) Epoch: [81][4540/10010] Time 0.332 (0.327) Data 0.001 (0.001) Loss 1.2482 (1.3439) Prec@1 71.094 (68.687) Prec@5 89.062 (87.038) Epoch: [81][4550/10010] Time 0.307 (0.327) Data 0.000 (0.001) Loss 1.3243 (1.3438) Prec@1 64.844 (68.686) Prec@5 86.719 (87.038) Epoch: [81][4560/10010] Time 0.341 (0.327) Data 0.000 (0.001) Loss 1.0242 (1.3439) Prec@1 75.781 (68.682) Prec@5 89.844 (87.036) Epoch: [81][4570/10010] Time 0.336 (0.327) Data 0.000 (0.001) Loss 1.1739 (1.3441) Prec@1 73.438 (68.681) Prec@5 90.625 (87.034) Epoch: [81][4580/10010] Time 0.313 (0.327) Data 0.000 (0.001) Loss 1.2219 (1.3442) Prec@1 68.750 (68.682) Prec@5 88.281 (87.033) Epoch: [81][4590/10010] Time 0.316 (0.327) Data 0.001 (0.001) Loss 1.4061 (1.3442) Prec@1 68.750 (68.681) Prec@5 83.594 (87.031) /data/vision/torralba/deepscene/lib/anaconda2/lib/python2.7/site-packages/PIL/TiffImagePlugin.py:692: UserWarning: Possibly corrupt EXIF data. Expecting to read 2555904 bytes but only got 0. Skipping tag 0 "Skipping tag %s" % (size, len(data), tag)) Epoch: [81][4600/10010] Time 0.322 (0.327) Data 0.001 (0.001) Loss 1.2985 (1.3441) Prec@1 68.750 (68.682) Prec@5 84.375 (87.029) Epoch: [81][4610/10010] Time 0.328 (0.327) Data 0.001 (0.001) Loss 1.2988 (1.3440) Prec@1 67.188 (68.684) Prec@5 89.062 (87.031) Epoch: [81][4620/10010] Time 0.335 (0.327) Data 0.001 (0.001) Loss 1.4330 (1.3439) Prec@1 64.844 (68.682) Prec@5 87.500 (87.032) Epoch: [81][4630/10010] Time 0.328 (0.327) Data 0.000 (0.001) Loss 1.2146 (1.3439) Prec@1 69.531 (68.677) Prec@5 89.844 (87.033) Epoch: [81][4640/10010] Time 0.317 (0.327) Data 0.000 (0.001) Loss 1.2284 (1.3438) Prec@1 71.875 (68.679) Prec@5 88.281 (87.035) Epoch: [81][4650/10010] Time 0.320 (0.327) Data 0.000 (0.001) Loss 1.5991 (1.3440) Prec@1 64.844 (68.676) Prec@5 86.719 (87.031) Epoch: [81][4660/10010] Time 0.319 (0.327) Data 0.001 (0.001) Loss 1.4299 (1.3441) Prec@1 68.750 (68.674) Prec@5 87.500 (87.029) Epoch: [81][4670/10010] Time 0.318 (0.327) Data 0.001 (0.001) Loss 1.6957 (1.3441) Prec@1 64.062 (68.676) Prec@5 81.250 (87.028) Epoch: [81][4680/10010] Time 0.339 (0.327) Data 0.001 (0.001) Loss 1.7756 (1.3440) Prec@1 60.938 (68.678) Prec@5 79.688 (87.029) Epoch: [81][4690/10010] Time 0.326 (0.327) Data 0.000 (0.001) Loss 1.1685 (1.3439) Prec@1 71.875 (68.681) Prec@5 90.625 (87.032) Epoch: [81][4700/10010] Time 0.319 (0.327) Data 0.001 (0.001) Loss 1.1399 (1.3439) Prec@1 71.094 (68.683) Prec@5 90.625 (87.034) Epoch: [81][4710/10010] Time 0.327 (0.327) Data 0.001 (0.001) Loss 1.5743 (1.3441) Prec@1 70.312 (68.682) Prec@5 82.812 (87.032) Epoch: [81][4720/10010] Time 0.319 (0.327) Data 0.001 (0.001) Loss 1.5265 (1.3441) Prec@1 64.062 (68.678) Prec@5 85.938 (87.032) Epoch: [81][4730/10010] Time 0.335 (0.327) Data 0.001 (0.001) Loss 1.1476 (1.3441) Prec@1 73.438 (68.682) Prec@5 88.281 (87.032) Epoch: [81][4740/10010] Time 0.324 (0.327) Data 0.001 (0.001) Loss 1.2085 (1.3439) Prec@1 71.875 (68.684) Prec@5 88.281 (87.034) Epoch: [81][4750/10010] Time 0.323 (0.327) Data 0.001 (0.001) Loss 1.7269 (1.3441) Prec@1 63.281 (68.680) Prec@5 81.250 (87.033) Epoch: [81][4760/10010] Time 0.324 (0.327) Data 0.001 (0.001) Loss 1.3429 (1.3440) Prec@1 64.062 (68.682) Prec@5 89.062 (87.032) Epoch: [81][4770/10010] Time 0.313 (0.327) Data 0.000 (0.001) Loss 1.4119 (1.3439) Prec@1 64.062 (68.687) Prec@5 88.281 (87.034) Epoch: [81][4780/10010] Time 0.321 (0.327) Data 0.001 (0.001) Loss 1.2700 (1.3440) Prec@1 66.406 (68.687) Prec@5 89.844 (87.034) Epoch: [81][4790/10010] Time 0.331 (0.327) Data 0.001 (0.001) Loss 1.1632 (1.3440) Prec@1 67.969 (68.683) Prec@5 91.406 (87.035) Epoch: [81][4800/10010] Time 0.336 (0.327) Data 0.001 (0.001) Loss 1.2550 (1.3440) Prec@1 72.656 (68.681) Prec@5 85.156 (87.034) Epoch: [81][4810/10010] Time 0.337 (0.327) Data 0.000 (0.001) Loss 1.6163 (1.3439) Prec@1 65.625 (68.681) Prec@5 82.812 (87.035) Epoch: [81][4820/10010] Time 0.339 (0.327) Data 0.001 (0.001) Loss 1.1439 (1.3439) Prec@1 73.438 (68.680) Prec@5 87.500 (87.034) Epoch: [81][4830/10010] Time 0.334 (0.327) Data 0.001 (0.001) Loss 1.3056 (1.3439) Prec@1 67.969 (68.681) Prec@5 86.719 (87.035) Epoch: [81][4840/10010] Time 0.334 (0.327) Data 0.000 (0.001) Loss 1.1697 (1.3438) Prec@1 74.219 (68.683) Prec@5 88.281 (87.036) Epoch: [81][4850/10010] Time 0.336 (0.327) Data 0.001 (0.001) Loss 1.5608 (1.3440) Prec@1 59.375 (68.677) Prec@5 85.938 (87.033) Epoch: [81][4860/10010] Time 0.318 (0.327) Data 0.001 (0.001) Loss 1.3236 (1.3440) Prec@1 66.406 (68.675) Prec@5 83.594 (87.030) Epoch: [81][4870/10010] Time 0.326 (0.327) Data 0.001 (0.001) Loss 1.4433 (1.3440) Prec@1 68.750 (68.677) Prec@5 86.719 (87.031) Epoch: [81][4880/10010] Time 0.327 (0.327) Data 0.001 (0.001) Loss 1.3700 (1.3439) Prec@1 68.750 (68.679) Prec@5 87.500 (87.032) Epoch: [81][4890/10010] Time 0.313 (0.327) Data 0.001 (0.001) Loss 1.4922 (1.3440) Prec@1 63.281 (68.675) Prec@5 85.156 (87.032) Epoch: [81][4900/10010] Time 0.324 (0.327) Data 0.001 (0.001) Loss 1.3642 (1.3442) Prec@1 68.750 (68.673) Prec@5 85.938 (87.030) Epoch: [81][4910/10010] Time 0.340 (0.327) Data 0.000 (0.001) Loss 1.2474 (1.3442) Prec@1 72.656 (68.675) Prec@5 88.281 (87.032) Epoch: [81][4920/10010] Time 0.337 (0.327) Data 0.001 (0.001) Loss 1.1986 (1.3441) Prec@1 73.438 (68.674) Prec@5 85.938 (87.032) Epoch: [81][4930/10010] Time 0.320 (0.327) Data 0.001 (0.001) Loss 1.4259 (1.3442) Prec@1 67.188 (68.672) Prec@5 85.938 (87.030) Epoch: [81][4940/10010] Time 0.320 (0.327) Data 0.001 (0.001) Loss 1.5119 (1.3443) Prec@1 72.656 (68.672) Prec@5 84.375 (87.029) Epoch: [81][4950/10010] Time 0.339 (0.327) Data 0.001 (0.001) Loss 1.5801 (1.3444) Prec@1 66.406 (68.673) Prec@5 82.812 (87.027) Epoch: [81][4960/10010] Time 0.339 (0.327) Data 0.000 (0.001) Loss 1.4931 (1.3445) Prec@1 64.844 (68.672) Prec@5 88.281 (87.026) Epoch: [81][4970/10010] Time 0.319 (0.327) Data 0.001 (0.001) Loss 1.6896 (1.3444) Prec@1 60.938 (68.672) Prec@5 82.812 (87.027) Epoch: [81][4980/10010] Time 0.322 (0.327) Data 0.001 (0.001) Loss 1.3975 (1.3443) Prec@1 67.188 (68.672) Prec@5 87.500 (87.028) Epoch: [81][4990/10010] Time 0.338 (0.327) Data 0.001 (0.001) Loss 1.5094 (1.3445) Prec@1 64.844 (68.666) Prec@5 85.156 (87.024) Epoch: [81][5000/10010] Time 0.334 (0.327) Data 0.001 (0.001) Loss 1.6990 (1.3446) Prec@1 63.281 (68.662) Prec@5 79.688 (87.023) Epoch: [81][5010/10010] Time 0.340 (0.327) Data 0.001 (0.001) Loss 1.3228 (1.3446) Prec@1 64.062 (68.661) Prec@5 87.500 (87.021) Epoch: [81][5020/10010] Time 0.322 (0.327) Data 0.000 (0.001) Loss 1.1801 (1.3445) Prec@1 73.438 (68.664) Prec@5 89.062 (87.022) Epoch: [81][5030/10010] Time 0.312 (0.327) Data 0.001 (0.001) Loss 1.4831 (1.3445) Prec@1 71.094 (68.663) Prec@5 83.594 (87.021) Epoch: [81][5040/10010] Time 0.317 (0.327) Data 0.000 (0.001) Loss 1.2715 (1.3447) Prec@1 69.531 (68.660) Prec@5 85.938 (87.020) Epoch: [81][5050/10010] Time 0.338 (0.327) Data 0.001 (0.001) Loss 1.5467 (1.3449) Prec@1 64.062 (68.655) Prec@5 82.031 (87.015) Epoch: [81][5060/10010] Time 0.323 (0.327) Data 0.000 (0.001) Loss 1.5377 (1.3452) Prec@1 67.188 (68.648) Prec@5 84.375 (87.011) Epoch: [81][5070/10010] Time 0.316 (0.327) Data 0.001 (0.001) Loss 1.4708 (1.3452) Prec@1 68.750 (68.648) Prec@5 88.281 (87.012) Epoch: [81][5080/10010] Time 0.315 (0.327) Data 0.000 (0.001) Loss 1.1740 (1.3450) Prec@1 73.438 (68.651) Prec@5 89.844 (87.014) Epoch: [81][5090/10010] Time 0.338 (0.327) Data 0.001 (0.001) Loss 1.5006 (1.3451) Prec@1 65.625 (68.647) Prec@5 85.156 (87.015) Epoch: [81][5100/10010] Time 0.320 (0.327) Data 0.000 (0.001) Loss 0.9948 (1.3451) Prec@1 81.250 (68.647) Prec@5 91.406 (87.015) Epoch: [81][5110/10010] Time 0.323 (0.327) Data 0.001 (0.001) Loss 1.8059 (1.3453) Prec@1 66.406 (68.648) Prec@5 79.688 (87.012) Epoch: [81][5120/10010] Time 0.320 (0.327) Data 0.000 (0.001) Loss 1.2932 (1.3454) Prec@1 68.750 (68.647) Prec@5 89.062 (87.011) Epoch: [81][5130/10010] Time 0.339 (0.327) Data 0.000 (0.001) Loss 1.0225 (1.3454) Prec@1 75.000 (68.647) Prec@5 92.188 (87.012) Epoch: [81][5140/10010] Time 0.325 (0.327) Data 0.001 (0.001) Loss 1.4971 (1.3455) Prec@1 64.062 (68.647) Prec@5 86.719 (87.011) Epoch: [81][5150/10010] Time 0.336 (0.327) Data 0.000 (0.001) Loss 1.1083 (1.3455) Prec@1 70.312 (68.643) Prec@5 89.844 (87.013) Epoch: [81][5160/10010] Time 0.324 (0.327) Data 0.000 (0.001) Loss 1.2247 (1.3456) Prec@1 69.531 (68.640) Prec@5 90.625 (87.011) Epoch: [81][5170/10010] Time 0.332 (0.327) Data 0.001 (0.001) Loss 1.0643 (1.3456) Prec@1 75.000 (68.641) Prec@5 92.188 (87.012) Epoch: [81][5180/10010] Time 0.324 (0.327) Data 0.001 (0.001) Loss 1.2419 (1.3455) Prec@1 74.219 (68.642) Prec@5 88.281 (87.015) Epoch: [81][5190/10010] Time 0.340 (0.327) Data 0.001 (0.001) Loss 1.1634 (1.3455) Prec@1 68.750 (68.643) Prec@5 92.969 (87.014) Epoch: [81][5200/10010] Time 0.319 (0.327) Data 0.000 (0.001) Loss 1.5364 (1.3455) Prec@1 65.625 (68.643) Prec@5 81.250 (87.013) Epoch: [81][5210/10010] Time 0.322 (0.327) Data 0.001 (0.001) Loss 1.4723 (1.3454) Prec@1 64.844 (68.642) Prec@5 82.031 (87.015) Epoch: [81][5220/10010] Time 0.314 (0.327) Data 0.000 (0.001) Loss 1.3582 (1.3454) Prec@1 65.625 (68.642) Prec@5 86.719 (87.015) Epoch: [81][5230/10010] Time 0.321 (0.327) Data 0.000 (0.001) Loss 1.2081 (1.3454) Prec@1 70.312 (68.644) Prec@5 91.406 (87.016) Epoch: [81][5240/10010] Time 0.321 (0.327) Data 0.000 (0.001) Loss 1.4848 (1.3456) Prec@1 67.188 (68.639) Prec@5 85.938 (87.013) Epoch: [81][5250/10010] Time 0.328 (0.327) Data 0.000 (0.001) Loss 1.5235 (1.3457) Prec@1 63.281 (68.635) Prec@5 85.156 (87.013) Epoch: [81][5260/10010] Time 0.318 (0.327) Data 0.001 (0.001) Loss 0.9977 (1.3456) Prec@1 75.000 (68.637) Prec@5 90.625 (87.013) Epoch: [81][5270/10010] Time 0.320 (0.327) Data 0.001 (0.001) Loss 1.5919 (1.3457) Prec@1 63.281 (68.635) Prec@5 82.812 (87.011) Epoch: [81][5280/10010] Time 0.336 (0.327) Data 0.000 (0.001) Loss 1.2372 (1.3457) Prec@1 67.969 (68.632) Prec@5 88.281 (87.011) Epoch: [81][5290/10010] Time 0.327 (0.327) Data 0.001 (0.001) Loss 1.2138 (1.3457) Prec@1 77.344 (68.634) Prec@5 88.281 (87.012) Epoch: [81][5300/10010] Time 0.339 (0.327) Data 0.001 (0.001) Loss 1.1454 (1.3458) Prec@1 71.875 (68.634) Prec@5 92.188 (87.012) Epoch: [81][5310/10010] Time 0.313 (0.327) Data 0.001 (0.001) Loss 1.3169 (1.3459) Prec@1 68.750 (68.630) Prec@5 85.938 (87.008) Epoch: [81][5320/10010] Time 0.319 (0.327) Data 0.000 (0.001) Loss 1.4014 (1.3459) Prec@1 66.406 (68.630) Prec@5 87.500 (87.009) Epoch: [81][5330/10010] Time 0.335 (0.327) Data 0.000 (0.001) Loss 1.2885 (1.3460) Prec@1 73.438 (68.632) Prec@5 91.406 (87.008) Epoch: [81][5340/10010] Time 0.315 (0.327) Data 0.001 (0.001) Loss 1.1076 (1.3459) Prec@1 75.781 (68.634) Prec@5 90.625 (87.008) Epoch: [81][5350/10010] Time 0.331 (0.327) Data 0.001 (0.001) Loss 1.1192 (1.3461) Prec@1 73.438 (68.633) Prec@5 92.188 (87.007) Epoch: [81][5360/10010] Time 0.326 (0.327) Data 0.001 (0.001) Loss 1.5300 (1.3460) Prec@1 63.281 (68.634) Prec@5 85.156 (87.007) Epoch: [81][5370/10010] Time 0.334 (0.327) Data 0.000 (0.001) Loss 1.2963 (1.3461) Prec@1 69.531 (68.632) Prec@5 87.500 (87.008) Epoch: [81][5380/10010] Time 0.325 (0.327) Data 0.001 (0.001) Loss 1.3436 (1.3462) Prec@1 70.312 (68.629) Prec@5 89.062 (87.009) Epoch: [81][5390/10010] Time 0.327 (0.327) Data 0.000 (0.001) Loss 1.3661 (1.3461) Prec@1 65.625 (68.628) Prec@5 86.719 (87.011) Epoch: [81][5400/10010] Time 0.338 (0.327) Data 0.001 (0.001) Loss 1.2166 (1.3462) Prec@1 72.656 (68.626) Prec@5 88.281 (87.010) Epoch: [81][5410/10010] Time 0.334 (0.327) Data 0.001 (0.001) Loss 1.1554 (1.3461) Prec@1 71.875 (68.624) Prec@5 90.625 (87.011) Epoch: [81][5420/10010] Time 0.334 (0.327) Data 0.001 (0.001) Loss 1.2394 (1.3462) Prec@1 68.750 (68.621) Prec@5 85.938 (87.010) Epoch: [81][5430/10010] Time 0.329 (0.327) Data 0.001 (0.001) Loss 1.2142 (1.3461) Prec@1 71.875 (68.622) Prec@5 85.938 (87.010) Epoch: [81][5440/10010] Time 0.319 (0.327) Data 0.001 (0.001) Loss 1.5630 (1.3462) Prec@1 65.625 (68.619) Prec@5 82.812 (87.009) Epoch: [81][5450/10010] Time 0.322 (0.327) Data 0.000 (0.001) Loss 1.4904 (1.3461) Prec@1 67.969 (68.621) Prec@5 82.812 (87.010) Epoch: [81][5460/10010] Time 0.320 (0.327) Data 0.001 (0.001) Loss 1.3059 (1.3461) Prec@1 71.875 (68.621) Prec@5 89.844 (87.012) Epoch: [81][5470/10010] Time 0.333 (0.327) Data 0.001 (0.001) Loss 1.4179 (1.3461) Prec@1 67.188 (68.621) Prec@5 89.062 (87.013) Epoch: [81][5480/10010] Time 0.319 (0.327) Data 0.001 (0.001) Loss 1.3711 (1.3460) Prec@1 64.844 (68.622) Prec@5 89.062 (87.015) Epoch: [81][5490/10010] Time 0.325 (0.327) Data 0.001 (0.001) Loss 1.4309 (1.3459) Prec@1 65.625 (68.624) Prec@5 85.938 (87.015) Epoch: [81][5500/10010] Time 0.336 (0.327) Data 0.000 (0.001) Loss 1.2409 (1.3460) Prec@1 74.219 (68.623) Prec@5 88.281 (87.015) Epoch: [81][5510/10010] Time 0.319 (0.327) Data 0.001 (0.001) Loss 1.4976 (1.3460) Prec@1 64.062 (68.622) Prec@5 85.938 (87.012) Epoch: [81][5520/10010] Time 0.318 (0.327) Data 0.001 (0.001) Loss 1.3654 (1.3460) Prec@1 65.625 (68.620) Prec@5 85.156 (87.011) Epoch: [81][5530/10010] Time 0.327 (0.327) Data 0.001 (0.001) Loss 1.3657 (1.3461) Prec@1 65.625 (68.619) Prec@5 85.938 (87.011) Epoch: [81][5540/10010] Time 0.315 (0.327) Data 0.001 (0.001) Loss 1.3629 (1.3463) Prec@1 66.406 (68.617) Prec@5 88.281 (87.008) Epoch: [81][5550/10010] Time 0.320 (0.327) Data 0.000 (0.001) Loss 1.5592 (1.3465) Prec@1 65.625 (68.612) Prec@5 85.156 (87.004) Epoch: [81][5560/10010] Time 0.322 (0.327) Data 0.001 (0.001) Loss 1.3282 (1.3463) Prec@1 65.625 (68.616) Prec@5 87.500 (87.007) Epoch: [81][5570/10010] Time 0.336 (0.327) Data 0.001 (0.001) Loss 1.3031 (1.3462) Prec@1 67.969 (68.618) Prec@5 89.844 (87.009) Epoch: [81][5580/10010] Time 0.340 (0.327) Data 0.000 (0.001) Loss 1.2210 (1.3463) Prec@1 74.219 (68.618) Prec@5 89.844 (87.007) Epoch: [81][5590/10010] Time 0.338 (0.327) Data 0.001 (0.001) Loss 1.4607 (1.3464) Prec@1 67.969 (68.618) Prec@5 84.375 (87.006) Epoch: [81][5600/10010] Time 0.322 (0.327) Data 0.001 (0.001) Loss 1.4632 (1.3463) Prec@1 61.719 (68.617) Prec@5 86.719 (87.007) Epoch: [81][5610/10010] Time 0.331 (0.327) Data 0.001 (0.001) Loss 1.4387 (1.3465) Prec@1 68.750 (68.617) Prec@5 83.594 (87.004) Epoch: [81][5620/10010] Time 0.332 (0.327) Data 0.001 (0.001) Loss 1.2571 (1.3465) Prec@1 67.188 (68.616) Prec@5 89.062 (87.004) Epoch: [81][5630/10010] Time 0.332 (0.327) Data 0.001 (0.001) Loss 1.0506 (1.3465) Prec@1 74.219 (68.617) Prec@5 92.188 (87.005) Epoch: [81][5640/10010] Time 0.315 (0.327) Data 0.001 (0.001) Loss 1.1770 (1.3463) Prec@1 71.875 (68.621) Prec@5 89.844 (87.008) Epoch: [81][5650/10010] Time 0.322 (0.327) Data 0.000 (0.001) Loss 1.4690 (1.3462) Prec@1 66.406 (68.623) Prec@5 85.156 (87.010) Epoch: [81][5660/10010] Time 0.334 (0.327) Data 0.001 (0.001) Loss 1.3861 (1.3461) Prec@1 75.781 (68.626) Prec@5 87.500 (87.012) Epoch: [81][5670/10010] Time 0.316 (0.327) Data 0.000 (0.001) Loss 1.3333 (1.3461) Prec@1 68.750 (68.625) Prec@5 85.938 (87.013) Epoch: [81][5680/10010] Time 0.342 (0.327) Data 0.001 (0.001) Loss 1.1741 (1.3460) Prec@1 68.750 (68.627) Prec@5 89.844 (87.015) Epoch: [81][5690/10010] Time 0.327 (0.327) Data 0.000 (0.001) Loss 1.1052 (1.3460) Prec@1 67.969 (68.628) Prec@5 89.844 (87.016) Epoch: [81][5700/10010] Time 0.325 (0.327) Data 0.001 (0.001) Loss 1.3491 (1.3460) Prec@1 68.750 (68.629) Prec@5 87.500 (87.016) Epoch: [81][5710/10010] Time 0.344 (0.327) Data 0.000 (0.001) Loss 1.3630 (1.3458) Prec@1 61.719 (68.632) Prec@5 86.719 (87.019) Epoch: [81][5720/10010] Time 0.325 (0.327) Data 0.001 (0.001) Loss 1.3919 (1.3459) Prec@1 65.625 (68.632) Prec@5 86.719 (87.020) Epoch: [81][5730/10010] Time 0.327 (0.327) Data 0.000 (0.001) Loss 1.1787 (1.3458) Prec@1 74.219 (68.634) Prec@5 86.719 (87.021) Epoch: [81][5740/10010] Time 0.320 (0.327) Data 0.001 (0.001) Loss 1.4342 (1.3459) Prec@1 64.844 (68.628) Prec@5 84.375 (87.020) Epoch: [81][5750/10010] Time 0.315 (0.327) Data 0.001 (0.001) Loss 1.3139 (1.3459) Prec@1 69.531 (68.628) Prec@5 88.281 (87.021) Epoch: [81][5760/10010] Time 0.318 (0.327) Data 0.001 (0.001) Loss 1.7334 (1.3457) Prec@1 63.281 (68.631) Prec@5 81.250 (87.022) Epoch: [81][5770/10010] Time 0.321 (0.327) Data 0.000 (0.001) Loss 1.3008 (1.3457) Prec@1 73.438 (68.630) Prec@5 87.500 (87.020) Epoch: [81][5780/10010] Time 0.334 (0.327) Data 0.001 (0.001) Loss 1.4519 (1.3458) Prec@1 68.750 (68.629) Prec@5 85.938 (87.018) Epoch: [81][5790/10010] Time 0.322 (0.327) Data 0.001 (0.001) Loss 1.4347 (1.3458) Prec@1 66.406 (68.630) Prec@5 84.375 (87.020) Epoch: [81][5800/10010] Time 0.337 (0.327) Data 0.001 (0.001) Loss 1.1958 (1.3458) Prec@1 70.312 (68.629) Prec@5 89.062 (87.019) Epoch: [81][5810/10010] Time 0.319 (0.327) Data 0.001 (0.001) Loss 1.2512 (1.3459) Prec@1 67.188 (68.627) Prec@5 89.062 (87.017) Epoch: [81][5820/10010] Time 0.322 (0.327) Data 0.001 (0.001) Loss 1.1471 (1.3457) Prec@1 71.875 (68.629) Prec@5 88.281 (87.019) Epoch: [81][5830/10010] Time 0.320 (0.327) Data 0.001 (0.001) Loss 1.3237 (1.3457) Prec@1 65.625 (68.630) Prec@5 90.625 (87.020) Epoch: [81][5840/10010] Time 0.322 (0.327) Data 0.000 (0.001) Loss 1.3892 (1.3457) Prec@1 68.750 (68.629) Prec@5 87.500 (87.020) Epoch: [81][5850/10010] Time 0.338 (0.327) Data 0.001 (0.001) Loss 1.1133 (1.3457) Prec@1 69.531 (68.630) Prec@5 91.406 (87.021) Epoch: [81][5860/10010] Time 0.320 (0.327) Data 0.000 (0.001) Loss 1.3769 (1.3456) Prec@1 67.969 (68.632) Prec@5 87.500 (87.020) Epoch: [81][5870/10010] Time 0.316 (0.327) Data 0.001 (0.001) Loss 1.5637 (1.3457) Prec@1 64.062 (68.630) Prec@5 85.938 (87.018) Epoch: [81][5880/10010] Time 0.320 (0.327) Data 0.001 (0.001) Loss 1.2578 (1.3456) Prec@1 66.406 (68.632) Prec@5 89.844 (87.021) Epoch: [81][5890/10010] Time 0.341 (0.327) Data 0.001 (0.001) Loss 1.4643 (1.3457) Prec@1 66.406 (68.631) Prec@5 85.156 (87.021) Epoch: [81][5900/10010] Time 0.338 (0.327) Data 0.001 (0.001) Loss 1.2550 (1.3458) Prec@1 71.875 (68.627) Prec@5 85.156 (87.019) Epoch: [81][5910/10010] Time 0.317 (0.327) Data 0.001 (0.001) Loss 1.2103 (1.3458) Prec@1 67.969 (68.626) Prec@5 89.062 (87.019) Epoch: [81][5920/10010] Time 0.327 (0.327) Data 0.001 (0.001) Loss 1.2965 (1.3457) Prec@1 67.969 (68.628) Prec@5 85.938 (87.019) Epoch: [81][5930/10010] Time 0.338 (0.327) Data 0.001 (0.001) Loss 1.5060 (1.3457) Prec@1 64.844 (68.629) Prec@5 82.812 (87.017) Epoch: [81][5940/10010] Time 0.312 (0.327) Data 0.001 (0.001) Loss 1.5553 (1.3459) Prec@1 63.281 (68.628) Prec@5 83.594 (87.014) Epoch: [81][5950/10010] Time 0.331 (0.327) Data 0.001 (0.001) Loss 1.1383 (1.3458) Prec@1 73.438 (68.630) Prec@5 89.844 (87.016) Epoch: [81][5960/10010] Time 0.335 (0.327) Data 0.001 (0.001) Loss 1.2759 (1.3458) Prec@1 66.406 (68.631) Prec@5 89.062 (87.017) Epoch: [81][5970/10010] Time 0.323 (0.327) Data 0.001 (0.001) Loss 1.3295 (1.3458) Prec@1 67.969 (68.632) Prec@5 86.719 (87.019) Epoch: [81][5980/10010] Time 0.319 (0.327) Data 0.000 (0.001) Loss 1.5165 (1.3459) Prec@1 65.625 (68.630) Prec@5 84.375 (87.017) Epoch: [81][5990/10010] Time 0.320 (0.327) Data 0.000 (0.001) Loss 1.4429 (1.3459) Prec@1 68.750 (68.632) Prec@5 86.719 (87.018) Epoch: [81][6000/10010] Time 0.329 (0.327) Data 0.001 (0.001) Loss 1.5727 (1.3459) Prec@1 64.062 (68.630) Prec@5 83.594 (87.016) Epoch: [81][6010/10010] Time 0.338 (0.327) Data 0.001 (0.001) Loss 1.2643 (1.3458) Prec@1 69.531 (68.635) Prec@5 89.062 (87.020) Epoch: [81][6020/10010] Time 0.336 (0.327) Data 0.000 (0.001) Loss 1.3379 (1.3458) Prec@1 68.750 (68.634) Prec@5 89.062 (87.020) Epoch: [81][6030/10010] Time 0.312 (0.327) Data 0.001 (0.001) Loss 1.5541 (1.3459) Prec@1 62.500 (68.632) Prec@5 82.812 (87.018) Epoch: [81][6040/10010] Time 0.318 (0.327) Data 0.001 (0.001) Loss 1.2656 (1.3460) Prec@1 72.656 (68.630) Prec@5 89.062 (87.017) Epoch: [81][6050/10010] Time 0.333 (0.327) Data 0.000 (0.001) Loss 1.0185 (1.3460) Prec@1 76.562 (68.630) Prec@5 91.406 (87.018) Epoch: [81][6060/10010] Time 0.335 (0.327) Data 0.001 (0.001) Loss 1.4890 (1.3460) Prec@1 63.281 (68.631) Prec@5 85.156 (87.019) Epoch: [81][6070/10010] Time 0.335 (0.327) Data 0.000 (0.001) Loss 1.4010 (1.3460) Prec@1 72.656 (68.633) Prec@5 86.719 (87.018) Epoch: [81][6080/10010] Time 0.329 (0.327) Data 0.000 (0.001) Loss 1.2640 (1.3459) Prec@1 71.094 (68.638) Prec@5 89.844 (87.021) Epoch: [81][6090/10010] Time 0.336 (0.327) Data 0.001 (0.001) Loss 1.4504 (1.3459) Prec@1 69.531 (68.639) Prec@5 88.281 (87.023) Epoch: [81][6100/10010] Time 0.335 (0.327) Data 0.000 (0.001) Loss 1.3650 (1.3459) Prec@1 63.281 (68.638) Prec@5 84.375 (87.022) /data/vision/torralba/deepscene/lib/anaconda2/lib/python2.7/site-packages/PIL/TiffImagePlugin.py:692: UserWarning: Possibly corrupt EXIF data. Expecting to read 1835008 bytes but only got 0. Skipping tag 0 "Skipping tag %s" % (size, len(data), tag)) Epoch: [81][6110/10010] Time 0.317 (0.327) Data 0.001 (0.001) Loss 1.6746 (1.3461) Prec@1 64.844 (68.635) Prec@5 80.469 (87.020) Epoch: [81][6120/10010] Time 0.338 (0.327) Data 0.000 (0.001) Loss 1.2423 (1.3461) Prec@1 72.656 (68.633) Prec@5 88.281 (87.019) Epoch: [81][6130/10010] Time 0.317 (0.327) Data 0.001 (0.001) Loss 1.6201 (1.3462) Prec@1 64.844 (68.630) Prec@5 83.594 (87.019) Epoch: [81][6140/10010] Time 0.325 (0.327) Data 0.001 (0.001) Loss 1.3819 (1.3463) Prec@1 67.188 (68.630) Prec@5 86.719 (87.018) Epoch: [81][6150/10010] Time 0.339 (0.327) Data 0.001 (0.001) Loss 1.1636 (1.3462) Prec@1 75.781 (68.632) Prec@5 88.281 (87.018) Epoch: [81][6160/10010] Time 0.341 (0.327) Data 0.000 (0.001) Loss 1.4339 (1.3463) Prec@1 67.969 (68.630) Prec@5 81.250 (87.018) Epoch: [81][6170/10010] Time 0.320 (0.327) Data 0.000 (0.001) Loss 1.1293 (1.3461) Prec@1 73.438 (68.634) Prec@5 88.281 (87.020) Epoch: [81][6180/10010] Time 0.319 (0.327) Data 0.000 (0.001) Loss 1.5209 (1.3461) Prec@1 61.719 (68.632) Prec@5 82.812 (87.020) Epoch: [81][6190/10010] Time 0.319 (0.327) Data 0.000 (0.001) Loss 1.2787 (1.3461) Prec@1 69.531 (68.635) Prec@5 90.625 (87.021) Epoch: [81][6200/10010] Time 0.336 (0.327) Data 0.001 (0.001) Loss 1.2241 (1.3461) Prec@1 71.094 (68.635) Prec@5 89.844 (87.020) Epoch: [81][6210/10010] Time 0.319 (0.327) Data 0.001 (0.001) Loss 1.3823 (1.3460) Prec@1 70.312 (68.635) Prec@5 87.500 (87.020) Epoch: [81][6220/10010] Time 0.338 (0.327) Data 0.000 (0.001) Loss 1.5709 (1.3461) Prec@1 69.531 (68.634) Prec@5 82.031 (87.019) Epoch: [81][6230/10010] Time 0.318 (0.327) Data 0.001 (0.001) Loss 1.2128 (1.3462) Prec@1 70.312 (68.634) Prec@5 89.844 (87.020) Epoch: [81][6240/10010] Time 0.325 (0.327) Data 0.001 (0.001) Loss 1.3816 (1.3462) Prec@1 71.875 (68.634) Prec@5 87.500 (87.021) Epoch: [81][6250/10010] Time 0.340 (0.327) Data 0.001 (0.001) Loss 1.3254 (1.3462) Prec@1 69.531 (68.635) Prec@5 88.281 (87.023) Epoch: [81][6260/10010] Time 0.336 (0.327) Data 0.001 (0.001) Loss 1.4337 (1.3464) Prec@1 66.406 (68.632) Prec@5 82.812 (87.021) Epoch: [81][6270/10010] Time 0.333 (0.327) Data 0.001 (0.001) Loss 1.5638 (1.3464) Prec@1 68.750 (68.630) Prec@5 86.719 (87.021) Epoch: [81][6280/10010] Time 0.327 (0.327) Data 0.001 (0.001) Loss 1.2267 (1.3464) Prec@1 70.312 (68.630) Prec@5 89.062 (87.022) Epoch: [81][6290/10010] Time 0.325 (0.327) Data 0.000 (0.001) Loss 1.2225 (1.3463) Prec@1 70.312 (68.631) Prec@5 89.062 (87.024) Epoch: [81][6300/10010] Time 0.319 (0.327) Data 0.000 (0.001) Loss 1.5654 (1.3464) Prec@1 62.500 (68.630) Prec@5 83.594 (87.022) Epoch: [81][6310/10010] Time 0.319 (0.327) Data 0.000 (0.001) Loss 1.0041 (1.3464) Prec@1 74.219 (68.631) Prec@5 92.188 (87.022) Epoch: [81][6320/10010] Time 0.318 (0.327) Data 0.001 (0.001) Loss 1.3976 (1.3465) Prec@1 66.406 (68.628) Prec@5 86.719 (87.021) Epoch: [81][6330/10010] Time 0.336 (0.327) Data 0.000 (0.001) Loss 1.2129 (1.3465) Prec@1 75.000 (68.628) Prec@5 88.281 (87.021) Epoch: [81][6340/10010] Time 0.327 (0.327) Data 0.001 (0.001) Loss 1.5219 (1.3465) Prec@1 64.062 (68.629) Prec@5 82.812 (87.022) Epoch: [81][6350/10010] Time 0.330 (0.327) Data 0.000 (0.001) Loss 1.3000 (1.3466) Prec@1 73.438 (68.626) Prec@5 87.500 (87.020) Epoch: [81][6360/10010] Time 0.341 (0.327) Data 0.000 (0.001) Loss 1.2071 (1.3465) Prec@1 74.219 (68.629) Prec@5 90.625 (87.022) Epoch: [81][6370/10010] Time 0.326 (0.327) Data 0.001 (0.001) Loss 1.0888 (1.3464) Prec@1 71.875 (68.630) Prec@5 89.062 (87.025) Epoch: [81][6380/10010] Time 0.337 (0.327) Data 0.000 (0.001) Loss 1.4516 (1.3465) Prec@1 68.750 (68.628) Prec@5 84.375 (87.025) Epoch: [81][6390/10010] Time 0.328 (0.327) Data 0.000 (0.001) Loss 1.2764 (1.3464) Prec@1 71.875 (68.629) Prec@5 88.281 (87.027) Epoch: [81][6400/10010] Time 0.335 (0.327) Data 0.001 (0.001) Loss 1.3048 (1.3465) Prec@1 68.750 (68.628) Prec@5 86.719 (87.027) Epoch: [81][6410/10010] Time 0.332 (0.327) Data 0.001 (0.001) Loss 1.4061 (1.3465) Prec@1 68.750 (68.626) Prec@5 89.062 (87.027) Epoch: [81][6420/10010] Time 0.334 (0.327) Data 0.001 (0.001) Loss 1.3820 (1.3464) Prec@1 64.062 (68.626) Prec@5 87.500 (87.029) Epoch: [81][6430/10010] Time 0.329 (0.327) Data 0.001 (0.001) Loss 1.4830 (1.3464) Prec@1 69.531 (68.626) Prec@5 82.812 (87.029) Epoch: [81][6440/10010] Time 0.329 (0.327) Data 0.001 (0.001) Loss 1.1399 (1.3463) Prec@1 74.219 (68.628) Prec@5 89.844 (87.030) Epoch: [81][6450/10010] Time 0.323 (0.327) Data 0.000 (0.001) Loss 1.4838 (1.3463) Prec@1 64.062 (68.629) Prec@5 86.719 (87.030) Epoch: [81][6460/10010] Time 0.316 (0.327) Data 0.000 (0.001) Loss 1.2861 (1.3463) Prec@1 65.625 (68.627) Prec@5 89.844 (87.029) Epoch: [81][6470/10010] Time 0.317 (0.327) Data 0.001 (0.001) Loss 1.1658 (1.3463) Prec@1 71.094 (68.625) Prec@5 91.406 (87.030) Epoch: [81][6480/10010] Time 0.335 (0.327) Data 0.001 (0.001) Loss 1.2010 (1.3463) Prec@1 74.219 (68.624) Prec@5 90.625 (87.028) Epoch: [81][6490/10010] Time 0.319 (0.327) Data 0.001 (0.001) Loss 1.3532 (1.3461) Prec@1 66.406 (68.627) Prec@5 87.500 (87.030) Epoch: [81][6500/10010] Time 0.330 (0.327) Data 0.001 (0.001) Loss 1.6512 (1.3463) Prec@1 63.281 (68.626) Prec@5 85.156 (87.028) Epoch: [81][6510/10010] Time 0.320 (0.327) Data 0.001 (0.001) Loss 1.3524 (1.3463) Prec@1 69.531 (68.628) Prec@5 83.594 (87.028) Epoch: [81][6520/10010] Time 0.324 (0.327) Data 0.001 (0.001) Loss 1.5055 (1.3463) Prec@1 67.969 (68.627) Prec@5 87.500 (87.030) Epoch: [81][6530/10010] Time 0.318 (0.327) Data 0.001 (0.001) Loss 1.4129 (1.3463) Prec@1 65.625 (68.627) Prec@5 85.938 (87.030) Epoch: [81][6540/10010] Time 0.327 (0.326) Data 0.000 (0.001) Loss 1.4451 (1.3463) Prec@1 67.188 (68.626) Prec@5 86.719 (87.030) Epoch: [81][6550/10010] Time 0.319 (0.326) Data 0.001 (0.001) Loss 1.1647 (1.3463) Prec@1 72.656 (68.625) Prec@5 89.062 (87.031) Epoch: [81][6560/10010] Time 0.315 (0.326) Data 0.001 (0.001) Loss 1.4864 (1.3463) Prec@1 64.062 (68.625) Prec@5 86.719 (87.031) Epoch: [81][6570/10010] Time 0.340 (0.326) Data 0.000 (0.001) Loss 1.4579 (1.3464) Prec@1 64.062 (68.623) Prec@5 87.500 (87.030) Epoch: [81][6580/10010] Time 0.320 (0.326) Data 0.001 (0.001) Loss 1.3223 (1.3465) Prec@1 71.094 (68.619) Prec@5 86.719 (87.028) Epoch: [81][6590/10010] Time 0.311 (0.326) Data 0.000 (0.001) Loss 1.2199 (1.3464) Prec@1 70.312 (68.620) Prec@5 86.719 (87.029) Epoch: [81][6600/10010] Time 0.331 (0.326) Data 0.001 (0.001) Loss 1.3736 (1.3463) Prec@1 66.406 (68.621) Prec@5 85.938 (87.030) Epoch: [81][6610/10010] Time 0.312 (0.326) Data 0.001 (0.001) Loss 1.4501 (1.3462) Prec@1 66.406 (68.621) Prec@5 89.062 (87.031) Epoch: [81][6620/10010] Time 0.318 (0.326) Data 0.001 (0.001) Loss 1.1995 (1.3462) Prec@1 69.531 (68.623) Prec@5 86.719 (87.033) Epoch: [81][6630/10010] Time 0.320 (0.326) Data 0.001 (0.001) Loss 1.3052 (1.3461) Prec@1 66.406 (68.625) Prec@5 88.281 (87.032) Epoch: [81][6640/10010] Time 0.318 (0.326) Data 0.001 (0.001) Loss 1.4426 (1.3460) Prec@1 67.969 (68.627) Prec@5 86.719 (87.034) Epoch: [81][6650/10010] Time 0.316 (0.326) Data 0.001 (0.001) Loss 1.4975 (1.3461) Prec@1 64.062 (68.626) Prec@5 85.938 (87.032) Epoch: [81][6660/10010] Time 0.319 (0.326) Data 0.001 (0.001) Loss 1.4407 (1.3462) Prec@1 67.969 (68.623) Prec@5 85.938 (87.031) Epoch: [81][6670/10010] Time 0.324 (0.326) Data 0.001 (0.001) Loss 1.4081 (1.3463) Prec@1 64.844 (68.620) Prec@5 85.156 (87.028) Epoch: [81][6680/10010] Time 0.334 (0.326) Data 0.001 (0.001) Loss 1.2952 (1.3462) Prec@1 71.875 (68.620) Prec@5 86.719 (87.029) Epoch: [81][6690/10010] Time 0.335 (0.326) Data 0.001 (0.001) Loss 1.1771 (1.3462) Prec@1 69.531 (68.620) Prec@5 86.719 (87.029) Epoch: [81][6700/10010] Time 0.333 (0.326) Data 0.001 (0.001) Loss 1.4456 (1.3462) Prec@1 67.969 (68.619) Prec@5 85.938 (87.029) Epoch: [81][6710/10010] Time 0.337 (0.326) Data 0.001 (0.001) Loss 1.2828 (1.3463) Prec@1 71.094 (68.618) Prec@5 85.938 (87.028) Epoch: [81][6720/10010] Time 0.326 (0.326) Data 0.001 (0.001) Loss 1.1274 (1.3463) Prec@1 71.875 (68.619) Prec@5 92.969 (87.028) Epoch: [81][6730/10010] Time 0.329 (0.326) Data 0.000 (0.001) Loss 1.4890 (1.3463) Prec@1 63.281 (68.622) Prec@5 88.281 (87.028) Epoch: [81][6740/10010] Time 0.318 (0.326) Data 0.001 (0.001) Loss 1.3456 (1.3465) Prec@1 64.844 (68.621) Prec@5 88.281 (87.028) Epoch: [81][6750/10010] Time 0.333 (0.326) Data 0.000 (0.001) Loss 0.9256 (1.3464) Prec@1 75.781 (68.623) Prec@5 93.750 (87.027) Epoch: [81][6760/10010] Time 0.325 (0.326) Data 0.001 (0.001) Loss 1.4482 (1.3464) Prec@1 66.406 (68.622) Prec@5 84.375 (87.028) Epoch: [81][6770/10010] Time 0.331 (0.326) Data 0.001 (0.001) Loss 1.6756 (1.3466) Prec@1 64.062 (68.618) Prec@5 83.594 (87.025) Epoch: [81][6780/10010] Time 0.321 (0.326) Data 0.000 (0.001) Loss 1.4629 (1.3466) Prec@1 62.500 (68.617) Prec@5 84.375 (87.024) Epoch: [81][6790/10010] Time 0.326 (0.326) Data 0.001 (0.001) Loss 1.6237 (1.3467) Prec@1 62.500 (68.617) Prec@5 85.156 (87.025) Epoch: [81][6800/10010] Time 0.330 (0.326) Data 0.001 (0.001) Loss 1.4071 (1.3466) Prec@1 64.844 (68.618) Prec@5 85.156 (87.025) Epoch: [81][6810/10010] Time 0.317 (0.326) Data 0.000 (0.001) Loss 1.4939 (1.3466) Prec@1 66.406 (68.617) Prec@5 85.156 (87.025) Epoch: [81][6820/10010] Time 0.336 (0.326) Data 0.000 (0.001) Loss 1.4508 (1.3465) Prec@1 66.406 (68.620) Prec@5 85.938 (87.027) Epoch: [81][6830/10010] Time 0.319 (0.326) Data 0.000 (0.001) Loss 1.4854 (1.3466) Prec@1 65.625 (68.617) Prec@5 83.594 (87.025) Epoch: [81][6840/10010] Time 0.333 (0.326) Data 0.000 (0.001) Loss 1.5720 (1.3467) Prec@1 64.062 (68.616) Prec@5 81.250 (87.024) Epoch: [81][6850/10010] Time 0.315 (0.326) Data 0.001 (0.001) Loss 1.3373 (1.3466) Prec@1 71.094 (68.618) Prec@5 87.500 (87.026) Epoch: [81][6860/10010] Time 0.326 (0.326) Data 0.000 (0.001) Loss 1.6118 (1.3468) Prec@1 62.500 (68.614) Prec@5 88.281 (87.022) Epoch: [81][6870/10010] Time 0.317 (0.326) Data 0.000 (0.001) Loss 1.9814 (1.3468) Prec@1 55.469 (68.616) Prec@5 77.344 (87.021) Epoch: [81][6880/10010] Time 0.329 (0.326) Data 0.000 (0.001) Loss 1.4220 (1.3469) Prec@1 65.625 (68.613) Prec@5 85.156 (87.018) Epoch: [81][6890/10010] Time 0.310 (0.326) Data 0.001 (0.001) Loss 1.4144 (1.3469) Prec@1 62.500 (68.611) Prec@5 86.719 (87.018) Epoch: [81][6900/10010] Time 0.322 (0.326) Data 0.000 (0.001) Loss 1.3111 (1.3469) Prec@1 67.969 (68.611) Prec@5 88.281 (87.019) Epoch: [81][6910/10010] Time 0.326 (0.326) Data 0.000 (0.001) Loss 1.1440 (1.3470) Prec@1 71.875 (68.608) Prec@5 90.625 (87.020) Epoch: [81][6920/10010] Time 0.320 (0.326) Data 0.001 (0.001) Loss 1.2708 (1.3470) Prec@1 73.438 (68.608) Prec@5 85.938 (87.019) Epoch: [81][6930/10010] Time 0.319 (0.326) Data 0.000 (0.001) Loss 1.2815 (1.3469) Prec@1 67.969 (68.607) Prec@5 87.500 (87.019) Epoch: [81][6940/10010] Time 0.327 (0.326) Data 0.001 (0.001) Loss 1.2420 (1.3469) Prec@1 71.094 (68.607) Prec@5 87.500 (87.019) Epoch: [81][6950/10010] Time 0.319 (0.326) Data 0.001 (0.001) Loss 1.6105 (1.3470) Prec@1 65.625 (68.606) Prec@5 84.375 (87.018) Epoch: [81][6960/10010] Time 0.326 (0.326) Data 0.001 (0.001) Loss 1.3963 (1.3471) Prec@1 67.969 (68.606) Prec@5 86.719 (87.018) Epoch: [81][6970/10010] Time 0.335 (0.326) Data 0.001 (0.001) Loss 0.9525 (1.3471) Prec@1 75.000 (68.607) Prec@5 92.188 (87.019) Epoch: [81][6980/10010] Time 0.343 (0.326) Data 0.001 (0.001) Loss 1.1430 (1.3470) Prec@1 71.094 (68.609) Prec@5 88.281 (87.018) Epoch: [81][6990/10010] Time 0.322 (0.326) Data 0.001 (0.001) Loss 1.2578 (1.3470) Prec@1 70.312 (68.609) Prec@5 85.938 (87.017) Epoch: [81][7000/10010] Time 0.325 (0.326) Data 0.001 (0.001) Loss 1.0985 (1.3469) Prec@1 75.781 (68.610) Prec@5 90.625 (87.017) Epoch: [81][7010/10010] Time 0.321 (0.326) Data 0.001 (0.001) Loss 1.5766 (1.3470) Prec@1 61.719 (68.607) Prec@5 85.156 (87.016) Epoch: [81][7020/10010] Time 0.321 (0.326) Data 0.000 (0.001) Loss 1.3538 (1.3471) Prec@1 71.875 (68.605) Prec@5 84.375 (87.015) Epoch: [81][7030/10010] Time 0.321 (0.326) Data 0.001 (0.001) Loss 1.4618 (1.3472) Prec@1 68.750 (68.604) Prec@5 83.594 (87.015) Epoch: [81][7040/10010] Time 0.321 (0.326) Data 0.001 (0.001) Loss 1.6325 (1.3474) Prec@1 67.188 (68.601) Prec@5 78.125 (87.012) Epoch: [81][7050/10010] Time 0.323 (0.326) Data 0.001 (0.001) Loss 1.3257 (1.3474) Prec@1 68.750 (68.601) Prec@5 85.938 (87.011) Epoch: [81][7060/10010] Time 0.317 (0.326) Data 0.000 (0.001) Loss 1.4396 (1.3474) Prec@1 67.969 (68.599) Prec@5 83.594 (87.009) Epoch: [81][7070/10010] Time 0.339 (0.326) Data 0.000 (0.001) Loss 1.4306 (1.3474) Prec@1 65.625 (68.601) Prec@5 83.594 (87.009) Epoch: [81][7080/10010] Time 0.331 (0.326) Data 0.000 (0.001) Loss 1.1844 (1.3474) Prec@1 70.312 (68.602) Prec@5 89.844 (87.009) Epoch: [81][7090/10010] Time 0.322 (0.326) Data 0.000 (0.001) Loss 1.2271 (1.3474) Prec@1 70.312 (68.603) Prec@5 87.500 (87.009) Epoch: [81][7100/10010] Time 0.332 (0.326) Data 0.000 (0.001) Loss 1.1778 (1.3473) Prec@1 73.438 (68.604) Prec@5 88.281 (87.012) Epoch: [81][7110/10010] Time 0.329 (0.326) Data 0.001 (0.001) Loss 1.2214 (1.3473) Prec@1 74.219 (68.605) Prec@5 85.156 (87.012) Epoch: [81][7120/10010] Time 0.321 (0.326) Data 0.000 (0.001) Loss 1.5215 (1.3474) Prec@1 67.188 (68.602) Prec@5 82.031 (87.012) Epoch: [81][7130/10010] Time 0.331 (0.326) Data 0.000 (0.001) Loss 1.1300 (1.3473) Prec@1 71.094 (68.603) Prec@5 89.844 (87.014) Epoch: [81][7140/10010] Time 0.317 (0.326) Data 0.001 (0.001) Loss 1.4017 (1.3473) Prec@1 64.844 (68.602) Prec@5 86.719 (87.014) Epoch: [81][7150/10010] Time 0.316 (0.326) Data 0.001 (0.001) Loss 1.6216 (1.3474) Prec@1 63.281 (68.600) Prec@5 85.156 (87.015) Epoch: [81][7160/10010] Time 0.338 (0.326) Data 0.001 (0.001) Loss 1.6060 (1.3474) Prec@1 67.188 (68.601) Prec@5 80.469 (87.014) Epoch: [81][7170/10010] Time 0.325 (0.326) Data 0.000 (0.001) Loss 1.5012 (1.3473) Prec@1 64.844 (68.601) Prec@5 86.719 (87.016) Epoch: [81][7180/10010] Time 0.309 (0.326) Data 0.001 (0.001) Loss 1.4063 (1.3472) Prec@1 70.312 (68.604) Prec@5 85.156 (87.017) Epoch: [81][7190/10010] Time 0.314 (0.326) Data 0.001 (0.001) Loss 1.3300 (1.3474) Prec@1 70.312 (68.602) Prec@5 88.281 (87.016) Epoch: [81][7200/10010] Time 0.324 (0.326) Data 0.000 (0.001) Loss 1.5559 (1.3474) Prec@1 60.938 (68.600) Prec@5 84.375 (87.016) Epoch: [81][7210/10010] Time 0.325 (0.326) Data 0.001 (0.001) Loss 1.4659 (1.3474) Prec@1 69.531 (68.600) Prec@5 84.375 (87.016) Epoch: [81][7220/10010] Time 0.320 (0.326) Data 0.001 (0.001) Loss 1.3661 (1.3473) Prec@1 64.844 (68.600) Prec@5 89.062 (87.016) Epoch: [81][7230/10010] Time 0.329 (0.326) Data 0.001 (0.001) Loss 1.2109 (1.3473) Prec@1 69.531 (68.599) Prec@5 89.062 (87.017) Epoch: [81][7240/10010] Time 0.314 (0.326) Data 0.000 (0.001) Loss 1.5374 (1.3475) Prec@1 64.062 (68.594) Prec@5 86.719 (87.015) Epoch: [81][7250/10010] Time 0.314 (0.326) Data 0.001 (0.001) Loss 1.3415 (1.3475) Prec@1 64.844 (68.594) Prec@5 83.594 (87.016) Epoch: [81][7260/10010] Time 0.315 (0.326) Data 0.000 (0.001) Loss 1.4308 (1.3476) Prec@1 66.406 (68.591) Prec@5 89.844 (87.014) Epoch: [81][7270/10010] Time 0.334 (0.326) Data 0.001 (0.001) Loss 1.5983 (1.3477) Prec@1 62.500 (68.589) Prec@5 83.594 (87.013) Epoch: [81][7280/10010] Time 0.330 (0.326) Data 0.000 (0.001) Loss 1.5723 (1.3478) Prec@1 65.625 (68.588) Prec@5 82.031 (87.012) Epoch: [81][7290/10010] Time 0.324 (0.326) Data 0.001 (0.001) Loss 1.3250 (1.3480) Prec@1 73.438 (68.584) Prec@5 85.938 (87.008) Epoch: [81][7300/10010] Time 0.323 (0.326) Data 0.000 (0.001) Loss 1.2278 (1.3478) Prec@1 73.438 (68.587) Prec@5 85.156 (87.010) Epoch: [81][7310/10010] Time 0.323 (0.326) Data 0.001 (0.001) Loss 1.6929 (1.3478) Prec@1 60.938 (68.588) Prec@5 83.594 (87.011) Epoch: [81][7320/10010] Time 0.319 (0.326) Data 0.001 (0.001) Loss 1.3932 (1.3478) Prec@1 65.625 (68.588) Prec@5 83.594 (87.011) Epoch: [81][7330/10010] Time 0.327 (0.326) Data 0.000 (0.001) Loss 1.3267 (1.3477) Prec@1 70.312 (68.587) Prec@5 87.500 (87.012) Epoch: [81][7340/10010] Time 0.319 (0.326) Data 0.001 (0.001) Loss 1.1544 (1.3477) Prec@1 78.906 (68.587) Prec@5 89.062 (87.013) Epoch: [81][7350/10010] Time 0.325 (0.326) Data 0.001 (0.001) Loss 1.5347 (1.3478) Prec@1 65.625 (68.585) Prec@5 83.594 (87.013) Epoch: [81][7360/10010] Time 0.319 (0.326) Data 0.000 (0.001) Loss 1.2175 (1.3478) Prec@1 69.531 (68.581) Prec@5 86.719 (87.013) Epoch: [81][7370/10010] Time 0.312 (0.326) Data 0.001 (0.001) Loss 1.3927 (1.3477) Prec@1 67.188 (68.580) Prec@5 84.375 (87.014) Epoch: [81][7380/10010] Time 0.323 (0.326) Data 0.001 (0.001) Loss 1.2034 (1.3477) Prec@1 68.750 (68.581) Prec@5 90.625 (87.015) Epoch: [81][7390/10010] Time 0.324 (0.326) Data 0.000 (0.001) Loss 1.2187 (1.3477) Prec@1 72.656 (68.581) Prec@5 90.625 (87.015) Epoch: [81][7400/10010] Time 0.321 (0.326) Data 0.000 (0.001) Loss 1.8861 (1.3477) Prec@1 62.500 (68.583) Prec@5 78.906 (87.015) Epoch: [81][7410/10010] Time 0.320 (0.326) Data 0.000 (0.001) Loss 1.2003 (1.3476) Prec@1 71.875 (68.585) Prec@5 87.500 (87.017) Epoch: [81][7420/10010] Time 0.330 (0.326) Data 0.001 (0.001) Loss 1.3232 (1.3476) Prec@1 67.969 (68.585) Prec@5 85.938 (87.017) Epoch: [81][7430/10010] Time 0.335 (0.326) Data 0.000 (0.001) Loss 1.2143 (1.3475) Prec@1 69.531 (68.585) Prec@5 88.281 (87.019) Epoch: [81][7440/10010] Time 0.335 (0.326) Data 0.001 (0.001) Loss 1.6530 (1.3476) Prec@1 62.500 (68.583) Prec@5 82.031 (87.019) Epoch: [81][7450/10010] Time 0.314 (0.326) Data 0.000 (0.001) Loss 1.5459 (1.3476) Prec@1 65.625 (68.583) Prec@5 82.031 (87.017) Epoch: [81][7460/10010] Time 0.328 (0.326) Data 0.000 (0.001) Loss 1.4949 (1.3476) Prec@1 67.188 (68.583) Prec@5 85.156 (87.017) Epoch: [81][7470/10010] Time 0.322 (0.326) Data 0.000 (0.001) Loss 1.4752 (1.3476) Prec@1 67.188 (68.585) Prec@5 83.594 (87.016) Epoch: [81][7480/10010] Time 0.324 (0.326) Data 0.001 (0.001) Loss 1.5905 (1.3476) Prec@1 60.938 (68.584) Prec@5 82.031 (87.014) Epoch: [81][7490/10010] Time 0.341 (0.326) Data 0.001 (0.001) Loss 1.4626 (1.3477) Prec@1 64.062 (68.583) Prec@5 86.719 (87.014) Epoch: [81][7500/10010] Time 0.319 (0.326) Data 0.001 (0.001) Loss 1.2663 (1.3477) Prec@1 68.750 (68.581) Prec@5 89.844 (87.015) Epoch: [81][7510/10010] Time 0.321 (0.326) Data 0.001 (0.001) Loss 1.4507 (1.3478) Prec@1 64.062 (68.580) Prec@5 85.938 (87.014) Epoch: [81][7520/10010] Time 0.320 (0.326) Data 0.000 (0.001) Loss 1.0991 (1.3479) Prec@1 75.781 (68.578) Prec@5 91.406 (87.013) Epoch: [81][7530/10010] Time 0.316 (0.326) Data 0.000 (0.001) Loss 1.2828 (1.3477) Prec@1 69.531 (68.582) Prec@5 89.844 (87.016) Epoch: [81][7540/10010] Time 0.312 (0.326) Data 0.001 (0.001) Loss 1.1551 (1.3477) Prec@1 71.875 (68.581) Prec@5 92.969 (87.015) Epoch: [81][7550/10010] Time 0.336 (0.326) Data 0.001 (0.001) Loss 1.2812 (1.3478) Prec@1 72.656 (68.581) Prec@5 86.719 (87.013) Epoch: [81][7560/10010] Time 0.321 (0.326) Data 0.000 (0.001) Loss 1.5699 (1.3479) Prec@1 62.500 (68.578) Prec@5 82.031 (87.012) Epoch: [81][7570/10010] Time 0.331 (0.326) Data 0.001 (0.001) Loss 1.3737 (1.3480) Prec@1 67.188 (68.577) Prec@5 87.500 (87.012) Epoch: [81][7580/10010] Time 0.319 (0.326) Data 0.000 (0.001) Loss 1.4564 (1.3480) Prec@1 66.406 (68.578) Prec@5 85.938 (87.013) Epoch: [81][7590/10010] Time 0.316 (0.326) Data 0.001 (0.001) Loss 1.5660 (1.3481) Prec@1 61.719 (68.575) Prec@5 82.812 (87.011) Epoch: [81][7600/10010] Time 0.315 (0.326) Data 0.000 (0.001) Loss 1.4358 (1.3482) Prec@1 70.312 (68.574) Prec@5 85.938 (87.009) Epoch: [81][7610/10010] Time 0.318 (0.326) Data 0.000 (0.001) Loss 1.1852 (1.3482) Prec@1 75.000 (68.577) Prec@5 87.500 (87.009) Epoch: [81][7620/10010] Time 0.320 (0.326) Data 0.000 (0.001) Loss 1.4110 (1.3482) Prec@1 70.312 (68.577) Prec@5 82.812 (87.010) Epoch: [81][7630/10010] Time 0.322 (0.326) Data 0.000 (0.001) Loss 1.3811 (1.3483) Prec@1 65.625 (68.576) Prec@5 85.938 (87.008) Epoch: [81][7640/10010] Time 0.338 (0.326) Data 0.000 (0.001) Loss 1.4357 (1.3482) Prec@1 63.281 (68.576) Prec@5 87.500 (87.009) Epoch: [81][7650/10010] Time 0.317 (0.326) Data 0.001 (0.001) Loss 1.1488 (1.3483) Prec@1 71.094 (68.575) Prec@5 91.406 (87.009) Epoch: [81][7660/10010] Time 0.316 (0.326) Data 0.001 (0.001) Loss 1.4455 (1.3483) Prec@1 66.406 (68.576) Prec@5 84.375 (87.009) Epoch: [81][7670/10010] Time 0.329 (0.326) Data 0.000 (0.001) Loss 1.2027 (1.3482) Prec@1 71.875 (68.576) Prec@5 88.281 (87.011) Epoch: [81][7680/10010] Time 0.317 (0.326) Data 0.000 (0.001) Loss 1.6140 (1.3483) Prec@1 61.719 (68.574) Prec@5 82.812 (87.011) Epoch: [81][7690/10010] Time 0.324 (0.326) Data 0.000 (0.001) Loss 1.1878 (1.3482) Prec@1 73.438 (68.576) Prec@5 87.500 (87.011) Epoch: [81][7700/10010] Time 0.333 (0.326) Data 0.000 (0.001) Loss 1.3660 (1.3483) Prec@1 71.875 (68.577) Prec@5 85.156 (87.011) Epoch: [81][7710/10010] Time 0.340 (0.326) Data 0.000 (0.001) Loss 1.4523 (1.3482) Prec@1 63.281 (68.578) Prec@5 85.938 (87.011) Epoch: [81][7720/10010] Time 0.334 (0.326) Data 0.001 (0.001) Loss 1.5122 (1.3482) Prec@1 59.375 (68.576) Prec@5 85.938 (87.012) Epoch: [81][7730/10010] Time 0.339 (0.326) Data 0.001 (0.001) Loss 1.8148 (1.3483) Prec@1 58.594 (68.574) Prec@5 80.469 (87.012) Epoch: [81][7740/10010] Time 0.312 (0.326) Data 0.001 (0.001) Loss 1.2690 (1.3483) Prec@1 73.438 (68.575) Prec@5 89.062 (87.013) Epoch: [81][7750/10010] Time 0.337 (0.326) Data 0.001 (0.001) Loss 1.3353 (1.3483) Prec@1 69.531 (68.576) Prec@5 85.156 (87.012) Epoch: [81][7760/10010] Time 0.333 (0.326) Data 0.001 (0.001) Loss 1.3304 (1.3484) Prec@1 75.000 (68.578) Prec@5 86.719 (87.012) Epoch: [81][7770/10010] Time 0.321 (0.326) Data 0.001 (0.001) Loss 1.3971 (1.3484) Prec@1 70.312 (68.578) Prec@5 88.281 (87.011) Epoch: [81][7780/10010] Time 0.338 (0.326) Data 0.000 (0.001) Loss 1.1939 (1.3484) Prec@1 73.438 (68.576) Prec@5 90.625 (87.010) Epoch: [81][7790/10010] Time 0.310 (0.326) Data 0.001 (0.001) Loss 1.4383 (1.3485) Prec@1 71.875 (68.575) Prec@5 83.594 (87.010) Epoch: [81][7800/10010] Time 0.338 (0.326) Data 0.001 (0.001) Loss 1.4196 (1.3486) Prec@1 67.188 (68.575) Prec@5 83.594 (87.008) Epoch: [81][7810/10010] Time 0.333 (0.326) Data 0.001 (0.001) Loss 1.3444 (1.3486) Prec@1 65.625 (68.574) Prec@5 88.281 (87.008) Epoch: [81][7820/10010] Time 0.336 (0.326) Data 0.001 (0.001) Loss 1.3365 (1.3487) Prec@1 67.969 (68.574) Prec@5 87.500 (87.007) Epoch: [81][7830/10010] Time 0.323 (0.326) Data 0.000 (0.001) Loss 1.2677 (1.3486) Prec@1 74.219 (68.576) Prec@5 86.719 (87.008) Epoch: [81][7840/10010] Time 0.333 (0.326) Data 0.000 (0.001) Loss 1.7966 (1.3487) Prec@1 60.938 (68.574) Prec@5 80.469 (87.007) Epoch: [81][7850/10010] Time 0.335 (0.326) Data 0.001 (0.001) Loss 1.3125 (1.3487) Prec@1 70.312 (68.576) Prec@5 85.156 (87.008) Epoch: [81][7860/10010] Time 0.329 (0.326) Data 0.001 (0.001) Loss 1.2886 (1.3488) Prec@1 70.312 (68.573) Prec@5 86.719 (87.005) Epoch: [81][7870/10010] Time 0.318 (0.326) Data 0.001 (0.001) Loss 1.0781 (1.3487) Prec@1 75.000 (68.574) Prec@5 92.188 (87.006) Epoch: [81][7880/10010] Time 0.318 (0.326) Data 0.000 (0.001) Loss 1.3863 (1.3487) Prec@1 69.531 (68.574) Prec@5 86.719 (87.006) Epoch: [81][7890/10010] Time 0.320 (0.326) Data 0.000 (0.001) Loss 1.1153 (1.3487) Prec@1 75.000 (68.574) Prec@5 91.406 (87.005) Epoch: [81][7900/10010] Time 0.316 (0.326) Data 0.001 (0.001) Loss 1.1814 (1.3486) Prec@1 66.406 (68.575) Prec@5 92.188 (87.006) Epoch: [81][7910/10010] Time 0.325 (0.326) Data 0.001 (0.001) Loss 1.5597 (1.3485) Prec@1 62.500 (68.576) Prec@5 82.812 (87.009) Epoch: [81][7920/10010] Time 0.314 (0.326) Data 0.001 (0.001) Loss 1.2074 (1.3485) Prec@1 64.844 (68.572) Prec@5 91.406 (87.010) Epoch: [81][7930/10010] Time 0.317 (0.326) Data 0.001 (0.001) Loss 1.4380 (1.3486) Prec@1 67.969 (68.570) Prec@5 83.594 (87.008) Epoch: [81][7940/10010] Time 0.336 (0.326) Data 0.001 (0.001) Loss 1.3780 (1.3487) Prec@1 67.188 (68.570) Prec@5 87.500 (87.007) Epoch: [81][7950/10010] Time 0.333 (0.326) Data 0.000 (0.001) Loss 1.2145 (1.3486) Prec@1 71.094 (68.571) Prec@5 88.281 (87.008) Epoch: [81][7960/10010] Time 0.342 (0.326) Data 0.000 (0.001) Loss 1.1586 (1.3485) Prec@1 71.875 (68.574) Prec@5 87.500 (87.010) Epoch: [81][7970/10010] Time 0.324 (0.326) Data 0.001 (0.001) Loss 1.4164 (1.3484) Prec@1 68.750 (68.574) Prec@5 85.938 (87.012) Epoch: [81][7980/10010] Time 0.334 (0.326) Data 0.001 (0.001) Loss 1.3322 (1.3485) Prec@1 69.531 (68.573) Prec@5 88.281 (87.013) Epoch: [81][7990/10010] Time 0.321 (0.326) Data 0.000 (0.001) Loss 1.3651 (1.3485) Prec@1 68.750 (68.573) Prec@5 88.281 (87.011) Epoch: [81][8000/10010] Time 0.315 (0.326) Data 0.001 (0.001) Loss 1.2796 (1.3485) Prec@1 69.531 (68.573) Prec@5 87.500 (87.011) Epoch: [81][8010/10010] Time 0.336 (0.326) Data 0.000 (0.001) Loss 1.2970 (1.3486) Prec@1 71.875 (68.571) Prec@5 89.844 (87.010) Epoch: [81][8020/10010] Time 0.318 (0.326) Data 0.001 (0.001) Loss 1.0044 (1.3486) Prec@1 76.562 (68.571) Prec@5 92.969 (87.010) Epoch: [81][8030/10010] Time 0.333 (0.326) Data 0.000 (0.001) Loss 1.6978 (1.3487) Prec@1 63.281 (68.569) Prec@5 82.812 (87.008) Epoch: [81][8040/10010] Time 0.316 (0.326) Data 0.000 (0.001) Loss 1.2984 (1.3487) Prec@1 69.531 (68.568) Prec@5 88.281 (87.008) Epoch: [81][8050/10010] Time 0.319 (0.326) Data 0.000 (0.001) Loss 1.1823 (1.3486) Prec@1 71.094 (68.569) Prec@5 88.281 (87.009) Epoch: [81][8060/10010] Time 0.322 (0.326) Data 0.001 (0.001) Loss 1.3074 (1.3486) Prec@1 61.719 (68.569) Prec@5 89.844 (87.009) Epoch: [81][8070/10010] Time 0.329 (0.326) Data 0.001 (0.001) Loss 1.1335 (1.3486) Prec@1 73.438 (68.571) Prec@5 89.062 (87.009) Epoch: [81][8080/10010] Time 0.311 (0.326) Data 0.001 (0.001) Loss 1.5239 (1.3486) Prec@1 68.750 (68.570) Prec@5 82.812 (87.009) Epoch: [81][8090/10010] Time 0.325 (0.326) Data 0.001 (0.001) Loss 1.2154 (1.3485) Prec@1 75.000 (68.573) Prec@5 89.844 (87.010) Epoch: [81][8100/10010] Time 0.312 (0.326) Data 0.001 (0.001) Loss 1.5084 (1.3485) Prec@1 66.406 (68.572) Prec@5 84.375 (87.010) Epoch: [81][8110/10010] Time 0.326 (0.326) Data 0.000 (0.001) Loss 1.1789 (1.3486) Prec@1 70.312 (68.571) Prec@5 88.281 (87.009) Epoch: [81][8120/10010] Time 0.322 (0.326) Data 0.001 (0.001) Loss 2.0480 (1.3486) Prec@1 57.031 (68.572) Prec@5 77.344 (87.008) Epoch: [81][8130/10010] Time 0.341 (0.326) Data 0.000 (0.001) Loss 1.1198 (1.3486) Prec@1 75.000 (68.572) Prec@5 90.625 (87.008) Epoch: [81][8140/10010] Time 0.314 (0.326) Data 0.000 (0.001) Loss 1.3447 (1.3486) Prec@1 68.750 (68.573) Prec@5 86.719 (87.007) Epoch: [81][8150/10010] Time 0.317 (0.326) Data 0.001 (0.001) Loss 1.4621 (1.3486) Prec@1 66.406 (68.572) Prec@5 87.500 (87.008) Epoch: [81][8160/10010] Time 0.332 (0.326) Data 0.001 (0.001) Loss 1.3724 (1.3486) Prec@1 65.625 (68.573) Prec@5 90.625 (87.008) Epoch: [81][8170/10010] Time 0.328 (0.326) Data 0.001 (0.001) Loss 1.2744 (1.3486) Prec@1 72.656 (68.571) Prec@5 87.500 (87.007) Epoch: [81][8180/10010] Time 0.322 (0.326) Data 0.001 (0.001) Loss 1.3743 (1.3486) Prec@1 67.969 (68.571) Prec@5 85.938 (87.008) Epoch: [81][8190/10010] Time 0.318 (0.326) Data 0.001 (0.001) Loss 1.5980 (1.3487) Prec@1 61.719 (68.571) Prec@5 85.938 (87.007) Epoch: [81][8200/10010] Time 0.325 (0.326) Data 0.001 (0.001) Loss 1.7218 (1.3487) Prec@1 60.938 (68.571) Prec@5 81.250 (87.007) Epoch: [81][8210/10010] Time 0.323 (0.326) Data 0.001 (0.001) Loss 1.1171 (1.3486) Prec@1 75.781 (68.570) Prec@5 86.719 (87.007) Epoch: [81][8220/10010] Time 0.313 (0.326) Data 0.001 (0.001) Loss 1.9023 (1.3487) Prec@1 62.500 (68.569) Prec@5 77.344 (87.006) Epoch: [81][8230/10010] Time 0.322 (0.326) Data 0.001 (0.001) Loss 1.4563 (1.3486) Prec@1 65.625 (68.572) Prec@5 85.938 (87.007) Epoch: [81][8240/10010] Time 0.315 (0.326) Data 0.001 (0.001) Loss 1.2168 (1.3487) Prec@1 70.312 (68.570) Prec@5 87.500 (87.007) Epoch: [81][8250/10010] Time 0.338 (0.326) Data 0.001 (0.001) Loss 1.3366 (1.3486) Prec@1 67.188 (68.572) Prec@5 85.938 (87.008) Epoch: [81][8260/10010] Time 0.333 (0.326) Data 0.000 (0.001) Loss 1.5166 (1.3486) Prec@1 65.625 (68.574) Prec@5 82.031 (87.008) Epoch: [81][8270/10010] Time 0.322 (0.326) Data 0.000 (0.001) Loss 1.4493 (1.3486) Prec@1 64.062 (68.574) Prec@5 86.719 (87.008) Epoch: [81][8280/10010] Time 0.323 (0.326) Data 0.000 (0.001) Loss 1.7963 (1.3487) Prec@1 57.812 (68.574) Prec@5 79.688 (87.007) Epoch: [81][8290/10010] Time 0.336 (0.326) Data 0.000 (0.001) Loss 1.2951 (1.3486) Prec@1 66.406 (68.575) Prec@5 90.625 (87.008) Epoch: [81][8300/10010] Time 0.314 (0.326) Data 0.001 (0.001) Loss 1.3727 (1.3486) Prec@1 70.312 (68.576) Prec@5 85.156 (87.007) Epoch: [81][8310/10010] Time 0.317 (0.326) Data 0.000 (0.001) Loss 1.4840 (1.3487) Prec@1 67.188 (68.574) Prec@5 85.156 (87.007) Epoch: [81][8320/10010] Time 0.320 (0.326) Data 0.001 (0.001) Loss 1.2915 (1.3487) Prec@1 70.312 (68.575) Prec@5 88.281 (87.006) Epoch: [81][8330/10010] Time 0.312 (0.326) Data 0.001 (0.001) Loss 1.2736 (1.3487) Prec@1 68.750 (68.577) Prec@5 87.500 (87.008) Epoch: [81][8340/10010] Time 0.319 (0.326) Data 0.001 (0.001) Loss 1.4116 (1.3488) Prec@1 67.969 (68.575) Prec@5 82.812 (87.006) Epoch: [81][8350/10010] Time 0.321 (0.326) Data 0.001 (0.001) Loss 1.2451 (1.3488) Prec@1 73.438 (68.574) Prec@5 88.281 (87.005) Epoch: [81][8360/10010] Time 0.336 (0.326) Data 0.000 (0.001) Loss 1.4622 (1.3488) Prec@1 64.844 (68.574) Prec@5 86.719 (87.004) Epoch: [81][8370/10010] Time 0.325 (0.326) Data 0.001 (0.001) Loss 1.2800 (1.3488) Prec@1 71.094 (68.574) Prec@5 89.062 (87.005) Epoch: [81][8380/10010] Time 0.329 (0.326) Data 0.001 (0.001) Loss 1.3317 (1.3490) Prec@1 64.844 (68.572) Prec@5 85.938 (87.002) Epoch: [81][8390/10010] Time 0.317 (0.326) Data 0.001 (0.001) Loss 1.5026 (1.3491) Prec@1 67.188 (68.569) Prec@5 84.375 (87.001) Epoch: [81][8400/10010] Time 0.313 (0.326) Data 0.001 (0.001) Loss 1.4386 (1.3491) Prec@1 67.969 (68.570) Prec@5 86.719 (87.002) Epoch: [81][8410/10010] Time 0.332 (0.326) Data 0.001 (0.001) Loss 1.2893 (1.3491) Prec@1 71.094 (68.568) Prec@5 85.938 (87.002) Epoch: [81][8420/10010] Time 0.320 (0.326) Data 0.000 (0.001) Loss 1.1319 (1.3490) Prec@1 71.094 (68.568) Prec@5 89.062 (87.004) Epoch: [81][8430/10010] Time 0.325 (0.326) Data 0.001 (0.001) Loss 1.5304 (1.3490) Prec@1 60.938 (68.568) Prec@5 85.938 (87.004) Epoch: [81][8440/10010] Time 0.315 (0.326) Data 0.000 (0.001) Loss 1.3625 (1.3490) Prec@1 67.969 (68.567) Prec@5 87.500 (87.004) Epoch: [81][8450/10010] Time 0.331 (0.326) Data 0.001 (0.001) Loss 1.3172 (1.3490) Prec@1 71.875 (68.569) Prec@5 84.375 (87.005) Epoch: [81][8460/10010] Time 0.312 (0.326) Data 0.001 (0.001) Loss 1.2638 (1.3489) Prec@1 69.531 (68.571) Prec@5 90.625 (87.007) Epoch: [81][8470/10010] Time 0.308 (0.326) Data 0.001 (0.001) Loss 1.4705 (1.3490) Prec@1 67.188 (68.571) Prec@5 82.031 (87.007) Epoch: [81][8480/10010] Time 0.324 (0.326) Data 0.001 (0.001) Loss 1.4378 (1.3490) Prec@1 69.531 (68.570) Prec@5 83.594 (87.007) Epoch: [81][8490/10010] Time 0.335 (0.326) Data 0.001 (0.001) Loss 1.0498 (1.3489) Prec@1 77.344 (68.571) Prec@5 90.625 (87.008) Epoch: [81][8500/10010] Time 0.313 (0.326) Data 0.001 (0.001) Loss 1.2721 (1.3490) Prec@1 70.312 (68.569) Prec@5 86.719 (87.007) Epoch: [81][8510/10010] Time 0.315 (0.326) Data 0.000 (0.001) Loss 0.9896 (1.3489) Prec@1 75.781 (68.571) Prec@5 93.750 (87.009) Epoch: [81][8520/10010] Time 0.333 (0.326) Data 0.001 (0.001) Loss 1.2623 (1.3490) Prec@1 68.750 (68.567) Prec@5 89.844 (87.007) Epoch: [81][8530/10010] Time 0.334 (0.326) Data 0.000 (0.001) Loss 1.3358 (1.3491) Prec@1 70.312 (68.565) Prec@5 90.625 (87.006) Epoch: [81][8540/10010] Time 0.320 (0.326) Data 0.000 (0.001) Loss 1.3650 (1.3491) Prec@1 69.531 (68.563) Prec@5 88.281 (87.006) Epoch: [81][8550/10010] Time 0.320 (0.326) Data 0.000 (0.001) Loss 1.5507 (1.3492) Prec@1 61.719 (68.560) Prec@5 82.812 (87.005) Epoch: [81][8560/10010] Time 0.327 (0.326) Data 0.000 (0.001) Loss 1.2353 (1.3493) Prec@1 73.438 (68.559) Prec@5 85.938 (87.003) Epoch: [81][8570/10010] Time 0.322 (0.326) Data 0.000 (0.001) Loss 1.4302 (1.3494) Prec@1 65.625 (68.557) Prec@5 86.719 (87.001) Epoch: [81][8580/10010] Time 0.333 (0.326) Data 0.001 (0.001) Loss 1.3967 (1.3494) Prec@1 70.312 (68.556) Prec@5 84.375 (87.002) Epoch: [81][8590/10010] Time 0.326 (0.326) Data 0.001 (0.001) Loss 1.3490 (1.3493) Prec@1 68.750 (68.558) Prec@5 85.156 (87.002) Epoch: [81][8600/10010] Time 0.341 (0.326) Data 0.001 (0.001) Loss 1.2526 (1.3492) Prec@1 69.531 (68.560) Prec@5 89.062 (87.004) Epoch: [81][8610/10010] Time 0.322 (0.326) Data 0.000 (0.001) Loss 1.3990 (1.3493) Prec@1 65.625 (68.557) Prec@5 86.719 (87.003) Epoch: [81][8620/10010] Time 0.321 (0.326) Data 0.001 (0.001) Loss 1.2737 (1.3494) Prec@1 66.406 (68.556) Prec@5 86.719 (87.002) Epoch: [81][8630/10010] Time 0.339 (0.326) Data 0.001 (0.001) Loss 1.5946 (1.3495) Prec@1 67.969 (68.553) Prec@5 81.250 (87.000) Epoch: [81][8640/10010] Time 0.319 (0.326) Data 0.000 (0.001) Loss 1.3989 (1.3495) Prec@1 67.969 (68.553) Prec@5 87.500 (86.999) Epoch: [81][8650/10010] Time 0.321 (0.326) Data 0.001 (0.001) Loss 1.2798 (1.3495) Prec@1 65.625 (68.551) Prec@5 88.281 (87.000) Epoch: [81][8660/10010] Time 0.325 (0.326) Data 0.001 (0.001) Loss 1.5877 (1.3496) Prec@1 62.500 (68.549) Prec@5 82.812 (87.000) Epoch: [81][8670/10010] Time 0.315 (0.326) Data 0.001 (0.001) Loss 1.2703 (1.3495) Prec@1 71.875 (68.551) Prec@5 89.844 (87.001) Epoch: [81][8680/10010] Time 0.338 (0.326) Data 0.001 (0.001) Loss 1.4919 (1.3495) Prec@1 64.062 (68.550) Prec@5 85.938 (87.001) Epoch: [81][8690/10010] Time 0.317 (0.326) Data 0.001 (0.001) Loss 1.2292 (1.3495) Prec@1 69.531 (68.552) Prec@5 89.062 (87.002) Epoch: [81][8700/10010] Time 0.332 (0.326) Data 0.001 (0.001) Loss 1.3875 (1.3494) Prec@1 70.312 (68.550) Prec@5 84.375 (87.003) Epoch: [81][8710/10010] Time 0.316 (0.326) Data 0.000 (0.001) Loss 1.5123 (1.3496) Prec@1 63.281 (68.547) Prec@5 84.375 (87.002) Epoch: [81][8720/10010] Time 0.329 (0.326) Data 0.001 (0.001) Loss 1.7651 (1.3496) Prec@1 60.938 (68.547) Prec@5 85.156 (87.002) Epoch: [81][8730/10010] Time 0.320 (0.326) Data 0.001 (0.001) Loss 1.2044 (1.3495) Prec@1 75.000 (68.549) Prec@5 90.625 (87.003) Epoch: [81][8740/10010] Time 0.326 (0.326) Data 0.001 (0.001) Loss 1.2763 (1.3495) Prec@1 67.188 (68.550) Prec@5 90.625 (87.002) Epoch: [81][8750/10010] Time 0.317 (0.326) Data 0.000 (0.001) Loss 1.5622 (1.3495) Prec@1 66.406 (68.549) Prec@5 82.812 (87.002) Epoch: [81][8760/10010] Time 0.325 (0.326) Data 0.001 (0.001) Loss 1.4510 (1.3494) Prec@1 63.281 (68.549) Prec@5 87.500 (87.003) Epoch: [81][8770/10010] Time 0.320 (0.326) Data 0.001 (0.001) Loss 1.5547 (1.3494) Prec@1 64.844 (68.550) Prec@5 85.156 (87.004) Epoch: [81][8780/10010] Time 0.330 (0.326) Data 0.001 (0.001) Loss 1.1982 (1.3494) Prec@1 74.219 (68.550) Prec@5 89.844 (87.005) Epoch: [81][8790/10010] Time 0.339 (0.326) Data 0.000 (0.001) Loss 1.4733 (1.3495) Prec@1 70.312 (68.549) Prec@5 85.156 (87.004) Epoch: [81][8800/10010] Time 0.319 (0.326) Data 0.001 (0.001) Loss 1.6590 (1.3495) Prec@1 64.844 (68.549) Prec@5 85.156 (87.004) Epoch: [81][8810/10010] Time 0.324 (0.326) Data 0.000 (0.001) Loss 1.2860 (1.3495) Prec@1 71.094 (68.549) Prec@5 86.719 (87.004) Epoch: [81][8820/10010] Time 0.318 (0.326) Data 0.001 (0.001) Loss 1.2413 (1.3495) Prec@1 74.219 (68.548) Prec@5 87.500 (87.004) Epoch: [81][8830/10010] Time 0.321 (0.326) Data 0.001 (0.001) Loss 1.4410 (1.3495) Prec@1 67.969 (68.547) Prec@5 85.938 (87.004) Epoch: [81][8840/10010] Time 0.332 (0.326) Data 0.001 (0.001) Loss 1.6406 (1.3496) Prec@1 66.406 (68.547) Prec@5 84.375 (87.004) Epoch: [81][8850/10010] Time 0.322 (0.326) Data 0.000 (0.001) Loss 1.4457 (1.3495) Prec@1 65.625 (68.548) Prec@5 88.281 (87.004) Epoch: [81][8860/10010] Time 0.319 (0.326) Data 0.000 (0.001) Loss 1.3389 (1.3495) Prec@1 70.312 (68.546) Prec@5 82.031 (87.003) Epoch: [81][8870/10010] Time 0.319 (0.326) Data 0.001 (0.001) Loss 1.3762 (1.3495) Prec@1 69.531 (68.546) Prec@5 86.719 (87.003) Epoch: [81][8880/10010] Time 0.333 (0.326) Data 0.001 (0.001) Loss 1.4741 (1.3495) Prec@1 67.188 (68.547) Prec@5 85.156 (87.002) Epoch: [81][8890/10010] Time 0.316 (0.326) Data 0.000 (0.001) Loss 1.3209 (1.3495) Prec@1 65.625 (68.546) Prec@5 89.062 (87.002) Epoch: [81][8900/10010] Time 0.319 (0.326) Data 0.001 (0.001) Loss 1.2461 (1.3496) Prec@1 71.094 (68.546) Prec@5 89.062 (87.000) Epoch: [81][8910/10010] Time 0.322 (0.326) Data 0.001 (0.001) Loss 1.6973 (1.3497) Prec@1 56.250 (68.543) Prec@5 81.250 (86.999) Epoch: [81][8920/10010] Time 0.334 (0.326) Data 0.001 (0.001) Loss 1.4610 (1.3497) Prec@1 67.188 (68.543) Prec@5 86.719 (86.998) Epoch: [81][8930/10010] Time 0.336 (0.326) Data 0.000 (0.001) Loss 1.5302 (1.3497) Prec@1 67.188 (68.542) Prec@5 83.594 (86.998) Epoch: [81][8940/10010] Time 0.324 (0.326) Data 0.001 (0.001) Loss 1.2449 (1.3497) Prec@1 71.875 (68.543) Prec@5 86.719 (86.999) Epoch: [81][8950/10010] Time 0.321 (0.326) Data 0.000 (0.001) Loss 1.2054 (1.3498) Prec@1 68.750 (68.541) Prec@5 90.625 (86.998) Epoch: [81][8960/10010] Time 0.313 (0.326) Data 0.000 (0.001) Loss 1.3325 (1.3498) Prec@1 68.750 (68.541) Prec@5 88.281 (86.997) Epoch: [81][8970/10010] Time 0.320 (0.326) Data 0.001 (0.001) Loss 1.2820 (1.3497) Prec@1 69.531 (68.545) Prec@5 85.938 (86.997) Epoch: [81][8980/10010] Time 0.337 (0.326) Data 0.001 (0.001) Loss 1.5875 (1.3497) Prec@1 62.500 (68.544) Prec@5 83.594 (86.997) Epoch: [81][8990/10010] Time 0.323 (0.326) Data 0.000 (0.001) Loss 1.3203 (1.3498) Prec@1 69.531 (68.543) Prec@5 88.281 (86.994) Epoch: [81][9000/10010] Time 0.318 (0.326) Data 0.001 (0.001) Loss 1.4604 (1.3498) Prec@1 67.188 (68.542) Prec@5 85.938 (86.995) Epoch: [81][9010/10010] Time 0.317 (0.326) Data 0.001 (0.001) Loss 1.3199 (1.3498) Prec@1 68.750 (68.541) Prec@5 85.938 (86.994) Epoch: [81][9020/10010] Time 0.338 (0.326) Data 0.000 (0.001) Loss 1.2852 (1.3498) Prec@1 72.656 (68.540) Prec@5 87.500 (86.993) Epoch: [81][9030/10010] Time 0.316 (0.326) Data 0.000 (0.001) Loss 1.3058 (1.3498) Prec@1 65.625 (68.541) Prec@5 86.719 (86.993) Epoch: [81][9040/10010] Time 0.335 (0.326) Data 0.000 (0.001) Loss 1.3292 (1.3498) Prec@1 65.625 (68.539) Prec@5 87.500 (86.992) Epoch: [81][9050/10010] Time 0.341 (0.326) Data 0.000 (0.001) Loss 1.3545 (1.3499) Prec@1 69.531 (68.537) Prec@5 83.594 (86.991) Epoch: [81][9060/10010] Time 0.323 (0.326) Data 0.001 (0.001) Loss 1.3752 (1.3499) Prec@1 66.406 (68.537) Prec@5 85.156 (86.991) Epoch: [81][9070/10010] Time 0.327 (0.326) Data 0.001 (0.001) Loss 1.2559 (1.3499) Prec@1 70.312 (68.541) Prec@5 86.719 (86.992) Epoch: [81][9080/10010] Time 0.338 (0.326) Data 0.000 (0.001) Loss 1.2390 (1.3498) Prec@1 69.531 (68.542) Prec@5 90.625 (86.994) /data/vision/torralba/deepscene/lib/anaconda2/lib/python2.7/site-packages/PIL/TiffImagePlugin.py:692: UserWarning: Possibly corrupt EXIF data. Expecting to read 2555904 bytes but only got 0. Skipping tag 0 "Skipping tag %s" % (size, len(data), tag)) Epoch: [81][9090/10010] Time 0.318 (0.326) Data 0.001 (0.001) Loss 1.2252 (1.3499) Prec@1 71.875 (68.541) Prec@5 87.500 (86.993) Epoch: [81][9100/10010] Time 0.333 (0.326) Data 0.001 (0.001) Loss 1.1959 (1.3499) Prec@1 67.969 (68.541) Prec@5 90.625 (86.993) Epoch: [81][9110/10010] Time 0.316 (0.326) Data 0.001 (0.001) Loss 1.1766 (1.3498) Prec@1 71.094 (68.541) Prec@5 86.719 (86.994) Epoch: [81][9120/10010] Time 0.322 (0.326) Data 0.001 (0.001) Loss 1.5387 (1.3499) Prec@1 63.281 (68.536) Prec@5 82.812 (86.993) Epoch: [81][9130/10010] Time 0.310 (0.326) Data 0.001 (0.001) Loss 1.4636 (1.3500) Prec@1 61.719 (68.535) Prec@5 89.062 (86.992) Epoch: [81][9140/10010] Time 0.319 (0.326) Data 0.000 (0.001) Loss 1.4438 (1.3500) Prec@1 67.188 (68.536) Prec@5 85.938 (86.994) Epoch: [81][9150/10010] Time 0.338 (0.326) Data 0.000 (0.001) Loss 1.6422 (1.3500) Prec@1 63.281 (68.536) Prec@5 82.812 (86.993) Epoch: [81][9160/10010] Time 0.319 (0.326) Data 0.001 (0.001) Loss 1.4486 (1.3500) Prec@1 64.062 (68.535) Prec@5 85.938 (86.995) Epoch: [81][9170/10010] Time 0.315 (0.326) Data 0.001 (0.001) Loss 1.4505 (1.3501) Prec@1 67.188 (68.535) Prec@5 82.812 (86.994) Epoch: [81][9180/10010] Time 0.321 (0.326) Data 0.001 (0.001) Loss 1.5137 (1.3502) Prec@1 65.625 (68.534) Prec@5 83.594 (86.991) Epoch: [81][9190/10010] Time 0.327 (0.326) Data 0.001 (0.001) Loss 1.3373 (1.3503) Prec@1 67.188 (68.531) Prec@5 84.375 (86.990) Epoch: [81][9200/10010] Time 0.321 (0.326) Data 0.000 (0.001) Loss 1.2239 (1.3502) Prec@1 74.219 (68.533) Prec@5 89.062 (86.990) Epoch: [81][9210/10010] Time 0.310 (0.326) Data 0.001 (0.001) Loss 1.2718 (1.3502) Prec@1 67.188 (68.532) Prec@5 89.062 (86.991) Epoch: [81][9220/10010] Time 0.329 (0.326) Data 0.000 (0.001) Loss 1.3646 (1.3503) Prec@1 69.531 (68.531) Prec@5 88.281 (86.989) Epoch: [81][9230/10010] Time 0.328 (0.326) Data 0.000 (0.001) Loss 1.2640 (1.3502) Prec@1 71.094 (68.531) Prec@5 89.844 (86.991) Epoch: [81][9240/10010] Time 0.319 (0.326) Data 0.000 (0.001) Loss 1.2328 (1.3501) Prec@1 71.094 (68.533) Prec@5 89.062 (86.994) Epoch: [81][9250/10010] Time 0.312 (0.326) Data 0.001 (0.001) Loss 1.4553 (1.3502) Prec@1 65.625 (68.533) Prec@5 85.156 (86.993) Epoch: [81][9260/10010] Time 0.335 (0.326) Data 0.000 (0.001) Loss 1.3099 (1.3503) Prec@1 64.062 (68.533) Prec@5 91.406 (86.992) Epoch: [81][9270/10010] Time 0.321 (0.326) Data 0.001 (0.001) Loss 1.4044 (1.3504) Prec@1 68.750 (68.531) Prec@5 87.500 (86.991) Epoch: [81][9280/10010] Time 0.319 (0.326) Data 0.001 (0.001) Loss 1.3338 (1.3504) Prec@1 69.531 (68.529) Prec@5 87.500 (86.990) Epoch: [81][9290/10010] Time 0.318 (0.326) Data 0.001 (0.001) Loss 1.4116 (1.3504) Prec@1 66.406 (68.529) Prec@5 87.500 (86.991) Epoch: [81][9300/10010] Time 0.343 (0.326) Data 0.000 (0.001) Loss 1.2798 (1.3503) Prec@1 72.656 (68.532) Prec@5 88.281 (86.993) Epoch: [81][9310/10010] Time 0.339 (0.326) Data 0.001 (0.001) Loss 1.5452 (1.3504) Prec@1 64.844 (68.531) Prec@5 85.938 (86.992) Epoch: [81][9320/10010] Time 0.317 (0.326) Data 0.001 (0.001) Loss 1.1689 (1.3504) Prec@1 72.656 (68.530) Prec@5 89.062 (86.992) Epoch: [81][9330/10010] Time 0.311 (0.326) Data 0.001 (0.001) Loss 1.5984 (1.3503) Prec@1 64.062 (68.531) Prec@5 85.156 (86.992) Epoch: [81][9340/10010] Time 0.336 (0.326) Data 0.001 (0.001) Loss 1.6209 (1.3505) Prec@1 69.531 (68.529) Prec@5 81.250 (86.990) Epoch: [81][9350/10010] Time 0.334 (0.326) Data 0.000 (0.001) Loss 1.4707 (1.3505) Prec@1 64.844 (68.529) Prec@5 85.938 (86.989) Epoch: [81][9360/10010] Time 0.319 (0.326) Data 0.001 (0.001) Loss 1.1757 (1.3505) Prec@1 72.656 (68.528) Prec@5 88.281 (86.990) Epoch: [81][9370/10010] Time 0.329 (0.326) Data 0.001 (0.001) Loss 1.3673 (1.3505) Prec@1 64.844 (68.529) Prec@5 85.938 (86.991) Epoch: [81][9380/10010] Time 0.337 (0.326) Data 0.001 (0.001) Loss 1.2235 (1.3504) Prec@1 67.969 (68.530) Prec@5 91.406 (86.993) Epoch: [81][9390/10010] Time 0.327 (0.326) Data 0.001 (0.001) Loss 1.4345 (1.3505) Prec@1 67.969 (68.529) Prec@5 87.500 (86.994) Epoch: [81][9400/10010] Time 0.334 (0.326) Data 0.000 (0.001) Loss 1.3321 (1.3506) Prec@1 68.750 (68.526) Prec@5 85.156 (86.992) Epoch: [81][9410/10010] Time 0.337 (0.326) Data 0.001 (0.001) Loss 1.4572 (1.3506) Prec@1 64.062 (68.525) Prec@5 85.156 (86.992) Epoch: [81][9420/10010] Time 0.317 (0.326) Data 0.001 (0.001) Loss 0.9800 (1.3505) Prec@1 76.562 (68.527) Prec@5 92.188 (86.994) Epoch: [81][9430/10010] Time 0.338 (0.326) Data 0.000 (0.001) Loss 1.5494 (1.3505) Prec@1 64.062 (68.527) Prec@5 84.375 (86.993) Epoch: [81][9440/10010] Time 0.325 (0.326) Data 0.001 (0.001) Loss 1.3191 (1.3505) Prec@1 67.188 (68.528) Prec@5 85.938 (86.993) Epoch: [81][9450/10010] Time 0.329 (0.326) Data 0.001 (0.001) Loss 1.2203 (1.3505) Prec@1 69.531 (68.529) Prec@5 90.625 (86.993) Epoch: [81][9460/10010] Time 0.333 (0.326) Data 0.001 (0.001) Loss 1.4618 (1.3504) Prec@1 67.188 (68.530) Prec@5 87.500 (86.994) Epoch: [81][9470/10010] Time 0.324 (0.326) Data 0.000 (0.001) Loss 1.0934 (1.3504) Prec@1 75.000 (68.530) Prec@5 87.500 (86.993) Epoch: [81][9480/10010] Time 0.325 (0.326) Data 0.000 (0.001) Loss 1.3457 (1.3505) Prec@1 64.844 (68.528) Prec@5 88.281 (86.992) Epoch: [81][9490/10010] Time 0.319 (0.326) Data 0.001 (0.001) Loss 1.3222 (1.3505) Prec@1 67.188 (68.527) Prec@5 87.500 (86.991) Epoch: [81][9500/10010] Time 0.338 (0.326) Data 0.000 (0.001) Loss 1.4465 (1.3506) Prec@1 67.188 (68.526) Prec@5 87.500 (86.991) Epoch: [81][9510/10010] Time 0.321 (0.326) Data 0.001 (0.001) Loss 1.1488 (1.3505) Prec@1 68.750 (68.527) Prec@5 89.062 (86.992) Epoch: [81][9520/10010] Time 0.343 (0.326) Data 0.001 (0.001) Loss 1.4188 (1.3505) Prec@1 65.625 (68.528) Prec@5 86.719 (86.992) Epoch: [81][9530/10010] Time 0.323 (0.326) Data 0.001 (0.001) Loss 1.3040 (1.3505) Prec@1 70.312 (68.529) Prec@5 86.719 (86.992) Epoch: [81][9540/10010] Time 0.320 (0.326) Data 0.000 (0.001) Loss 1.6594 (1.3505) Prec@1 65.625 (68.529) Prec@5 82.031 (86.991) Epoch: [81][9550/10010] Time 0.317 (0.326) Data 0.000 (0.001) Loss 1.3208 (1.3505) Prec@1 73.438 (68.530) Prec@5 87.500 (86.992) Epoch: [81][9560/10010] Time 0.323 (0.326) Data 0.000 (0.001) Loss 1.7572 (1.3506) Prec@1 60.156 (68.528) Prec@5 83.594 (86.992) Epoch: [81][9570/10010] Time 0.313 (0.326) Data 0.001 (0.001) Loss 1.2869 (1.3506) Prec@1 75.781 (68.528) Prec@5 85.156 (86.992) Epoch: [81][9580/10010] Time 0.338 (0.326) Data 0.001 (0.001) Loss 1.1580 (1.3506) Prec@1 71.094 (68.528) Prec@5 85.938 (86.992) Epoch: [81][9590/10010] Time 0.340 (0.326) Data 0.001 (0.001) Loss 1.2637 (1.3505) Prec@1 68.750 (68.528) Prec@5 88.281 (86.993) Epoch: [81][9600/10010] Time 0.316 (0.326) Data 0.001 (0.001) Loss 1.2011 (1.3506) Prec@1 71.875 (68.526) Prec@5 89.844 (86.992) Epoch: [81][9610/10010] Time 0.328 (0.326) Data 0.000 (0.001) Loss 1.4471 (1.3506) Prec@1 67.188 (68.524) Prec@5 83.594 (86.991) Epoch: [81][9620/10010] Time 0.313 (0.326) Data 0.001 (0.001) Loss 1.7980 (1.3507) Prec@1 58.594 (68.523) Prec@5 82.812 (86.990) Epoch: [81][9630/10010] Time 0.323 (0.326) Data 0.000 (0.001) Loss 1.5942 (1.3507) Prec@1 66.406 (68.523) Prec@5 85.156 (86.990) Epoch: [81][9640/10010] Time 0.314 (0.326) Data 0.001 (0.001) Loss 1.6650 (1.3508) Prec@1 58.594 (68.521) Prec@5 81.250 (86.988) Epoch: [81][9650/10010] Time 0.338 (0.326) Data 0.000 (0.001) Loss 1.1957 (1.3508) Prec@1 73.438 (68.521) Prec@5 88.281 (86.988) Epoch: [81][9660/10010] Time 0.317 (0.326) Data 0.000 (0.001) Loss 2.0380 (1.3509) Prec@1 57.812 (68.518) Prec@5 75.000 (86.988) Epoch: [81][9670/10010] Time 0.327 (0.326) Data 0.001 (0.001) Loss 1.1663 (1.3510) Prec@1 75.000 (68.516) Prec@5 89.062 (86.986) Epoch: [81][9680/10010] Time 0.333 (0.326) Data 0.000 (0.001) Loss 1.5061 (1.3510) Prec@1 66.406 (68.517) Prec@5 81.250 (86.986) Epoch: [81][9690/10010] Time 0.319 (0.326) Data 0.001 (0.001) Loss 1.2934 (1.3509) Prec@1 69.531 (68.516) Prec@5 85.156 (86.985) Epoch: [81][9700/10010] Time 0.325 (0.326) Data 0.001 (0.001) Loss 1.2466 (1.3510) Prec@1 71.875 (68.516) Prec@5 85.938 (86.984) Epoch: [81][9710/10010] Time 0.325 (0.326) Data 0.001 (0.001) Loss 1.1988 (1.3510) Prec@1 71.875 (68.516) Prec@5 90.625 (86.984) Epoch: [81][9720/10010] Time 0.321 (0.326) Data 0.000 (0.001) Loss 1.4685 (1.3510) Prec@1 60.156 (68.515) Prec@5 86.719 (86.983) Epoch: [81][9730/10010] Time 0.316 (0.326) Data 0.001 (0.001) Loss 1.5211 (1.3510) Prec@1 67.969 (68.516) Prec@5 85.156 (86.982) Epoch: [81][9740/10010] Time 0.317 (0.326) Data 0.000 (0.001) Loss 1.5449 (1.3510) Prec@1 65.625 (68.517) Prec@5 85.156 (86.984) Epoch: [81][9750/10010] Time 0.335 (0.326) Data 0.000 (0.001) Loss 1.2414 (1.3510) Prec@1 72.656 (68.517) Prec@5 85.156 (86.983) Epoch: [81][9760/10010] Time 0.325 (0.326) Data 0.001 (0.001) Loss 1.3388 (1.3510) Prec@1 70.312 (68.517) Prec@5 87.500 (86.982) Epoch: [81][9770/10010] Time 0.316 (0.326) Data 0.001 (0.001) Loss 1.2335 (1.3509) Prec@1 67.188 (68.519) Prec@5 90.625 (86.983) Epoch: [81][9780/10010] Time 0.318 (0.326) Data 0.001 (0.001) Loss 1.2745 (1.3510) Prec@1 72.656 (68.520) Prec@5 89.844 (86.983) Epoch: [81][9790/10010] Time 0.310 (0.326) Data 0.001 (0.001) Loss 1.1381 (1.3509) Prec@1 75.000 (68.521) Prec@5 89.062 (86.983) Epoch: [81][9800/10010] Time 0.326 (0.326) Data 0.001 (0.001) Loss 1.2015 (1.3509) Prec@1 70.312 (68.521) Prec@5 90.625 (86.984) Epoch: [81][9810/10010] Time 0.334 (0.326) Data 0.001 (0.001) Loss 1.1883 (1.3509) Prec@1 71.094 (68.522) Prec@5 88.281 (86.985) Epoch: [81][9820/10010] Time 0.316 (0.326) Data 0.001 (0.001) Loss 1.0379 (1.3509) Prec@1 77.344 (68.522) Prec@5 86.719 (86.984) Epoch: [81][9830/10010] Time 0.316 (0.326) Data 0.001 (0.001) Loss 1.5649 (1.3510) Prec@1 65.625 (68.521) Prec@5 85.938 (86.982) Epoch: [81][9840/10010] Time 0.320 (0.326) Data 0.000 (0.001) Loss 1.2927 (1.3510) Prec@1 70.312 (68.521) Prec@5 88.281 (86.981) Epoch: [81][9850/10010] Time 0.321 (0.326) Data 0.001 (0.001) Loss 1.2843 (1.3510) Prec@1 68.750 (68.521) Prec@5 89.062 (86.982) Epoch: [81][9860/10010] Time 0.315 (0.326) Data 0.001 (0.001) Loss 1.5597 (1.3511) Prec@1 64.062 (68.521) Prec@5 84.375 (86.981) Epoch: [81][9870/10010] Time 0.319 (0.326) Data 0.001 (0.001) Loss 1.3083 (1.3511) Prec@1 73.438 (68.522) Prec@5 89.844 (86.981) Epoch: [81][9880/10010] Time 0.324 (0.326) Data 0.001 (0.001) Loss 1.2850 (1.3511) Prec@1 71.875 (68.522) Prec@5 91.406 (86.982) Epoch: [81][9890/10010] Time 0.321 (0.326) Data 0.000 (0.001) Loss 1.2184 (1.3510) Prec@1 73.438 (68.524) Prec@5 87.500 (86.983) Epoch: [81][9900/10010] Time 0.323 (0.326) Data 0.001 (0.001) Loss 1.2024 (1.3510) Prec@1 70.312 (68.523) Prec@5 86.719 (86.982) Epoch: [81][9910/10010] Time 0.332 (0.326) Data 0.001 (0.001) Loss 1.3592 (1.3510) Prec@1 61.719 (68.523) Prec@5 88.281 (86.982) Epoch: [81][9920/10010] Time 0.320 (0.326) Data 0.001 (0.001) Loss 1.4495 (1.3509) Prec@1 66.406 (68.524) Prec@5 88.281 (86.983) Epoch: [81][9930/10010] Time 0.321 (0.326) Data 0.001 (0.001) Loss 1.3915 (1.3510) Prec@1 70.312 (68.523) Prec@5 86.719 (86.983) Epoch: [81][9940/10010] Time 0.330 (0.326) Data 0.001 (0.001) Loss 1.3931 (1.3510) Prec@1 66.406 (68.521) Prec@5 86.719 (86.982) Epoch: [81][9950/10010] Time 0.322 (0.326) Data 0.000 (0.001) Loss 1.2059 (1.3510) Prec@1 71.094 (68.522) Prec@5 89.844 (86.982) Epoch: [81][9960/10010] Time 0.327 (0.326) Data 0.001 (0.001) Loss 1.2822 (1.3509) Prec@1 71.094 (68.523) Prec@5 87.500 (86.984) Epoch: [81][9970/10010] Time 0.328 (0.326) Data 0.000 (0.001) Loss 1.3619 (1.3509) Prec@1 67.188 (68.523) Prec@5 86.719 (86.984) Epoch: [81][9980/10010] Time 0.319 (0.326) Data 0.001 (0.001) Loss 1.6034 (1.3509) Prec@1 62.500 (68.523) Prec@5 85.156 (86.985) Epoch: [81][9990/10010] Time 0.318 (0.326) Data 0.001 (0.001) Loss 1.2131 (1.3508) Prec@1 67.969 (68.524) Prec@5 93.750 (86.986) Epoch: [81][10000/10010] Time 0.315 (0.326) Data 0.000 (0.001) Loss 1.1728 (1.3507) Prec@1 75.000 (68.526) Prec@5 89.844 (86.987) Test: [0/391] Time 1.383 (1.383) Loss 0.6861 (0.6861) Prec@1 85.156 (85.156) Prec@5 94.531 (94.531) Test: [10/391] Time 0.112 (0.224) Loss 1.1868 (0.6119) Prec@1 69.531 (84.446) Prec@5 89.844 (95.526) Test: [20/391] Time 0.106 (0.176) Loss 0.7451 (0.8679) Prec@1 78.125 (77.716) Prec@5 94.531 (93.266) Test: [30/391] Time 0.106 (0.154) Loss 1.5264 (0.9960) Prec@1 70.312 (74.118) Prec@5 86.719 (92.389) Test: [40/391] Time 0.103 (0.143) Loss 0.9317 (0.9078) Prec@1 80.469 (76.562) Prec@5 90.625 (92.988) Test: [50/391] Time 0.108 (0.136) Loss 0.4670 (0.9332) Prec@1 87.500 (76.363) Prec@5 96.875 (92.586) Test: [60/391] Time 0.107 (0.131) Loss 0.8893 (0.8772) Prec@1 79.688 (77.805) Prec@5 93.750 (93.046) Test: [70/391] Time 0.110 (0.128) Loss 1.0788 (0.9077) Prec@1 66.406 (76.816) Prec@5 96.094 (93.068) Test: [80/391] Time 0.103 (0.126) Loss 0.9440 (0.9277) Prec@1 74.219 (75.945) Prec@5 94.531 (93.075) Test: [90/391] Time 0.103 (0.123) Loss 1.2446 (0.9305) Prec@1 63.281 (75.884) Prec@5 92.969 (93.140) Test: [100/391] Time 0.104 (0.122) Loss 0.6818 (0.9225) Prec@1 84.375 (75.828) Prec@5 96.875 (93.425) Test: [110/391] Time 0.107 (0.121) Loss 1.2574 (0.9255) Prec@1 51.562 (75.549) Prec@5 96.875 (93.616) Test: [120/391] Time 0.100 (0.119) Loss 0.7902 (0.9190) Prec@1 80.469 (75.897) Prec@5 95.312 (93.718) Test: [130/391] Time 0.097 (0.118) Loss 0.4258 (0.9108) Prec@1 89.844 (76.240) Prec@5 96.094 (93.792) Test: [140/391] Time 0.106 (0.117) Loss 1.1526 (0.9101) Prec@1 66.406 (76.097) Prec@5 92.969 (93.828) Test: [150/391] Time 0.099 (0.117) Loss 0.7644 (0.9125) Prec@1 75.781 (76.123) Prec@5 96.875 (93.745) Test: [160/391] Time 0.108 (0.117) Loss 0.8732 (0.9166) Prec@1 75.781 (76.038) Prec@5 94.531 (93.711) Test: [170/391] Time 0.104 (0.116) Loss 1.6278 (0.9486) Prec@1 57.031 (75.384) Prec@5 86.719 (93.330) Test: [180/391] Time 0.108 (0.115) Loss 1.8105 (0.9794) Prec@1 53.906 (74.737) Prec@5 86.719 (92.960) Test: [190/391] Time 0.103 (0.115) Loss 2.0061 (1.0132) Prec@1 54.688 (74.071) Prec@5 82.812 (92.511) Test: [200/391] Time 0.107 (0.115) Loss 1.0723 (1.0421) Prec@1 71.094 (73.453) Prec@5 92.188 (92.125) Test: [210/391] Time 0.106 (0.115) Loss 1.5054 (1.0599) Prec@1 64.062 (73.108) Prec@5 85.938 (91.895) Test: [220/391] Time 0.101 (0.114) Loss 0.6464 (1.0716) Prec@1 80.469 (72.897) Prec@5 96.875 (91.707) Test: [230/391] Time 0.107 (0.114) Loss 2.0620 (1.0862) Prec@1 53.906 (72.629) Prec@5 82.812 (91.538) Test: [240/391] Time 0.102 (0.113) Loss 1.4097 (1.0947) Prec@1 73.438 (72.533) Prec@5 85.938 (91.384) Test: [250/391] Time 0.105 (0.113) Loss 0.8876 (1.1170) Prec@1 75.781 (71.987) Prec@5 91.406 (91.098) Test: [260/391] Time 0.100 (0.113) Loss 1.4187 (1.1316) Prec@1 61.719 (71.689) Prec@5 85.938 (90.921) Test: [270/391] Time 0.108 (0.112) Loss 1.9397 (1.1432) Prec@1 52.344 (71.434) Prec@5 85.156 (90.769) Test: [280/391] Time 0.107 (0.112) Loss 1.1793 (1.1480) Prec@1 69.531 (71.361) Prec@5 93.750 (90.728) Test: [290/391] Time 0.102 (0.112) Loss 1.6670 (1.1588) Prec@1 40.625 (71.113) Prec@5 88.281 (90.534) Test: [300/391] Time 0.107 (0.112) Loss 1.1980 (1.1694) Prec@1 75.000 (70.915) Prec@5 86.719 (90.373) Test: [310/391] Time 0.108 (0.112) Loss 1.5099 (1.1784) Prec@1 64.844 (70.780) Prec@5 84.375 (90.218) Test: [320/391] Time 0.105 (0.111) Loss 0.8944 (1.1861) Prec@1 79.688 (70.648) Prec@5 92.188 (90.126) Test: [330/391] Time 0.104 (0.111) Loss 1.8133 (1.2048) Prec@1 57.031 (70.246) Prec@5 81.250 (89.896) Test: [340/391] Time 0.152 (0.111) Loss 1.0869 (1.2121) Prec@1 69.531 (70.051) Prec@5 95.312 (89.805) Test: [350/391] Time 0.100 (0.111) Loss 1.2708 (1.2161) Prec@1 68.750 (69.990) Prec@5 89.844 (89.748) Test: [360/391] Time 0.101 (0.111) Loss 1.3909 (1.2231) Prec@1 65.625 (69.875) Prec@5 89.844 (89.686) Test: [370/391] Time 0.109 (0.111) Loss 1.0988 (1.2176) Prec@1 68.750 (69.948) Prec@5 96.094 (89.762) Test: [380/391] Time 0.099 (0.110) Loss 1.0077 (1.2195) Prec@1 75.781 (69.890) Prec@5 94.531 (89.731) Test: [390/391] Time 0.073 (0.110) Loss 1.9238 (1.2134) Prec@1 46.250 (70.044) Prec@5 82.500 (89.798) * Prec@1 70.044 Prec@5 89.798 Epoch: [82][0/10010] Time 2.732 (2.732) Data 2.545 (2.545) Loss 1.3615 (1.3615) Prec@1 67.969 (67.969) Prec@5 85.156 (85.156) Epoch: [82][10/10010] Time 0.317 (0.535) Data 0.001 (0.232) Loss 1.1432 (1.3650) Prec@1 73.438 (68.040) Prec@5 93.750 (87.216) Epoch: [82][20/10010] Time 0.318 (0.431) Data 0.001 (0.122) Loss 1.3994 (1.3716) Prec@1 63.281 (68.229) Prec@5 87.500 (87.091) Epoch: [82][30/10010] Time 0.319 (0.395) Data 0.001 (0.083) Loss 1.4099 (1.3675) Prec@1 66.406 (68.044) Prec@5 85.156 (86.744) Epoch: [82][40/10010] Time 0.321 (0.376) Data 0.001 (0.063) Loss 1.2520 (1.3418) Prec@1 68.750 (68.350) Prec@5 87.500 (87.195) Epoch: [82][50/10010] Time 0.314 (0.365) Data 0.001 (0.051) Loss 1.4476 (1.3236) Prec@1 65.625 (68.811) Prec@5 82.812 (87.362) Epoch: [82][60/10010] Time 0.324 (0.358) Data 0.001 (0.042) Loss 1.4544 (1.3149) Prec@1 69.531 (69.083) Prec@5 85.156 (87.423) Epoch: [82][70/10010] Time 0.331 (0.354) Data 0.001 (0.037) Loss 1.4058 (1.3319) Prec@1 69.531 (68.651) Prec@5 82.812 (87.247) Epoch: [82][80/10010] Time 0.340 (0.350) Data 0.001 (0.032) Loss 1.4223 (1.3415) Prec@1 64.844 (68.490) Prec@5 84.375 (87.105) Epoch: [82][90/10010] Time 0.311 (0.347) Data 0.001 (0.029) Loss 1.5922 (1.3497) Prec@1 63.281 (68.209) Prec@5 87.500 (87.028) Epoch: [82][100/10010] Time 0.334 (0.345) Data 0.001 (0.026) Loss 1.2916 (1.3585) Prec@1 71.094 (68.069) Prec@5 88.281 (86.804) Epoch: [82][110/10010] Time 0.341 (0.343) Data 0.000 (0.024) Loss 1.4354 (1.3551) Prec@1 64.062 (68.102) Prec@5 88.281 (86.979) Epoch: [82][120/10010] Time 0.340 (0.342) Data 0.001 (0.022) Loss 1.5442 (1.3561) Prec@1 67.969 (68.053) Prec@5 82.812 (87.003) Epoch: [82][130/10010] Time 0.323 (0.340) Data 0.001 (0.020) Loss 1.6500 (1.3573) Prec@1 64.062 (68.076) Prec@5 85.938 (87.005) Epoch: [82][140/10010] Time 0.331 (0.339) Data 0.000 (0.019) Loss 1.1452 (1.3533) Prec@1 69.531 (68.152) Prec@5 91.406 (87.018) Epoch: [82][150/10010] Time 0.321 (0.338) Data 0.001 (0.018) Loss 1.2818 (1.3576) Prec@1 71.094 (68.088) Prec@5 90.625 (86.921) Epoch: [82][160/10010] Time 0.324 (0.337) Data 0.001 (0.017) Loss 1.3753 (1.3518) Prec@1 64.844 (68.129) Prec@5 84.375 (87.000) Epoch: [82][170/10010] Time 0.325 (0.336) Data 0.001 (0.016) Loss 1.4527 (1.3496) Prec@1 67.969 (68.252) Prec@5 85.938 (87.048) Epoch: [82][180/10010] Time 0.341 (0.335) Data 0.001 (0.015) Loss 1.2833 (1.3485) Prec@1 67.969 (68.297) Prec@5 89.062 (87.086) Epoch: [82][190/10010] Time 0.336 (0.335) Data 0.001 (0.014) Loss 1.5072 (1.3432) Prec@1 64.062 (68.349) Prec@5 82.812 (87.181) Epoch: [82][200/10010] Time 0.317 (0.334) Data 0.001 (0.013) Loss 1.3028 (1.3428) Prec@1 71.094 (68.420) Prec@5 86.719 (87.208) Epoch: [82][210/10010] Time 0.320 (0.334) Data 0.001 (0.013) Loss 1.3199 (1.3463) Prec@1 70.312 (68.358) Prec@5 85.938 (87.148) Epoch: [82][220/10010] Time 0.332 (0.334) Data 0.001 (0.012) Loss 1.3880 (1.3435) Prec@1 70.312 (68.446) Prec@5 87.500 (87.175) Epoch: [82][230/10010] Time 0.321 (0.333) Data 0.000 (0.012) Loss 1.6607 (1.3448) Prec@1 58.594 (68.432) Prec@5 82.812 (87.182) Epoch: [82][240/10010] Time 0.323 (0.333) Data 0.001 (0.011) Loss 1.3968 (1.3429) Prec@1 65.625 (68.474) Prec@5 84.375 (87.179) Epoch: [82][250/10010] Time 0.321 (0.332) Data 0.001 (0.011) Loss 1.6424 (1.3426) Prec@1 61.719 (68.492) Prec@5 82.812 (87.161) Epoch: [82][260/10010] Time 0.321 (0.332) Data 0.000 (0.010) Loss 1.4548 (1.3472) Prec@1 66.406 (68.430) Prec@5 85.938 (87.105) Epoch: [82][270/10010] Time 0.314 (0.332) Data 0.001 (0.010) Loss 1.4349 (1.3477) Prec@1 66.406 (68.418) Prec@5 89.062 (87.099) Epoch: [82][280/10010] Time 0.332 (0.332) Data 0.000 (0.010) Loss 1.6912 (1.3484) Prec@1 62.500 (68.439) Prec@5 81.250 (87.102) Epoch: [82][290/10010] Time 0.325 (0.331) Data 0.001 (0.009) Loss 1.5718 (1.3477) Prec@1 63.281 (68.420) Prec@5 85.156 (87.130) Epoch: [82][300/10010] Time 0.324 (0.331) Data 0.000 (0.009) Loss 1.2997 (1.3465) Prec@1 67.969 (68.464) Prec@5 85.938 (87.121) Epoch: [82][310/10010] Time 0.318 (0.331) Data 0.001 (0.009) Loss 1.6036 (1.3479) Prec@1 59.375 (68.449) Prec@5 85.156 (87.103) Epoch: [82][320/10010] Time 0.340 (0.331) Data 0.000 (0.009) Loss 1.3881 (1.3510) Prec@1 65.625 (68.407) Prec@5 89.844 (87.077) Epoch: [82][330/10010] Time 0.315 (0.330) Data 0.001 (0.008) Loss 1.6404 (1.3506) Prec@1 63.281 (68.415) Prec@5 82.812 (87.075) Epoch: [82][340/10010] Time 0.331 (0.330) Data 0.000 (0.008) Loss 1.1954 (1.3489) Prec@1 67.969 (68.436) Prec@5 89.062 (87.108) Epoch: [82][350/10010] Time 0.309 (0.330) Data 0.001 (0.008) Loss 1.6660 (1.3494) Prec@1 64.062 (68.401) Prec@5 80.469 (87.108) Epoch: [82][360/10010] Time 0.325 (0.330) Data 0.000 (0.008) Loss 1.3169 (1.3478) Prec@1 68.750 (68.408) Prec@5 85.938 (87.106) Epoch: [82][370/10010] Time 0.319 (0.330) Data 0.001 (0.008) Loss 1.1533 (1.3473) Prec@1 75.000 (68.476) Prec@5 90.625 (87.091) Epoch: [82][380/10010] Time 0.326 (0.330) Data 0.001 (0.007) Loss 1.2651 (1.3487) Prec@1 71.875 (68.481) Prec@5 90.625 (87.069) Epoch: [82][390/10010] Time 0.332 (0.330) Data 0.000 (0.007) Loss 1.6238 (1.3489) Prec@1 60.156 (68.492) Prec@5 81.250 (87.066) Epoch: [82][400/10010] Time 0.330 (0.329) Data 0.001 (0.007) Loss 1.4668 (1.3482) Prec@1 66.406 (68.514) Prec@5 81.250 (87.066) Epoch: [82][410/10010] Time 0.333 (0.329) Data 0.001 (0.007) Loss 1.1922 (1.3488) Prec@1 71.094 (68.472) Prec@5 88.281 (87.055) Epoch: [82][420/10010] Time 0.330 (0.329) Data 0.000 (0.007) Loss 1.4099 (1.3518) Prec@1 67.969 (68.448) Prec@5 85.938 (86.990) Epoch: [82][430/10010] Time 0.326 (0.329) Data 0.001 (0.007) Loss 1.3601 (1.3523) Prec@1 68.750 (68.478) Prec@5 87.500 (86.973) Epoch: [82][440/10010] Time 0.335 (0.329) Data 0.001 (0.006) Loss 1.2867 (1.3534) Prec@1 66.406 (68.461) Prec@5 88.281 (86.969) Epoch: [82][450/10010] Time 0.334 (0.329) Data 0.001 (0.006) Loss 1.3567 (1.3527) Prec@1 67.188 (68.483) Prec@5 85.938 (86.987) Epoch: [82][460/10010] Time 0.327 (0.329) Data 0.001 (0.006) Loss 1.0504 (1.3519) Prec@1 73.438 (68.518) Prec@5 95.312 (86.997) Epoch: [82][470/10010] Time 0.336 (0.329) Data 0.000 (0.006) Loss 1.2313 (1.3511) Prec@1 73.438 (68.526) Prec@5 89.062 (87.006) Epoch: [82][480/10010] Time 0.325 (0.329) Data 0.000 (0.006) Loss 1.3324 (1.3504) Prec@1 69.531 (68.536) Prec@5 91.406 (87.032) Epoch: [82][490/10010] Time 0.340 (0.329) Data 0.001 (0.006) Loss 1.2861 (1.3504) Prec@1 69.531 (68.519) Prec@5 88.281 (87.039) Epoch: [82][500/10010] Time 0.336 (0.329) Data 0.001 (0.006) Loss 1.5104 (1.3510) Prec@1 67.969 (68.504) Prec@5 86.719 (87.035) Epoch: [82][510/10010] Time 0.324 (0.329) Data 0.001 (0.006) Loss 1.2535 (1.3499) Prec@1 67.188 (68.516) Prec@5 89.062 (87.070) Epoch: [82][520/10010] Time 0.316 (0.328) Data 0.001 (0.006) Loss 1.3451 (1.3511) Prec@1 68.750 (68.492) Prec@5 88.281 (87.061) Epoch: [82][530/10010] Time 0.315 (0.328) Data 0.000 (0.005) Loss 1.4067 (1.3527) Prec@1 67.969 (68.460) Prec@5 85.938 (87.045) Epoch: [82][540/10010] Time 0.321 (0.328) Data 0.000 (0.005) Loss 1.0395 (1.3519) Prec@1 78.125 (68.463) Prec@5 89.844 (87.051) Epoch: [82][550/10010] Time 0.344 (0.328) Data 0.000 (0.005) Loss 1.2481 (1.3508) Prec@1 74.219 (68.495) Prec@5 88.281 (87.076) Epoch: [82][560/10010] Time 0.325 (0.328) Data 0.000 (0.005) Loss 1.5709 (1.3516) Prec@1 60.156 (68.477) Prec@5 88.281 (87.052) Epoch: [82][570/10010] Time 0.320 (0.328) Data 0.001 (0.005) Loss 1.3150 (1.3512) Prec@1 72.656 (68.485) Prec@5 86.719 (87.064) Epoch: [82][580/10010] Time 0.339 (0.328) Data 0.001 (0.005) Loss 1.2253 (1.3510) Prec@1 71.875 (68.492) Prec@5 89.062 (87.064) Epoch: [82][590/10010] Time 0.325 (0.328) Data 0.001 (0.005) Loss 1.1761 (1.3513) Prec@1 68.750 (68.474) Prec@5 91.406 (87.053) Epoch: [82][600/10010] Time 0.335 (0.328) Data 0.001 (0.005) Loss 1.4186 (1.3527) Prec@1 67.969 (68.445) Prec@5 89.062 (87.049) Epoch: [82][610/10010] Time 0.319 (0.328) Data 0.001 (0.005) Loss 1.3747 (1.3512) Prec@1 65.625 (68.464) Prec@5 88.281 (87.073) Epoch: [82][620/10010] Time 0.336 (0.328) Data 0.000 (0.005) Loss 1.4160 (1.3522) Prec@1 61.719 (68.429) Prec@5 86.719 (87.061) Epoch: [82][630/10010] Time 0.324 (0.328) Data 0.001 (0.005) Loss 1.3020 (1.3519) Prec@1 73.438 (68.457) Prec@5 88.281 (87.059) Epoch: [82][640/10010] Time 0.336 (0.328) Data 0.001 (0.005) Loss 1.6290 (1.3520) Prec@1 63.281 (68.490) Prec@5 83.594 (87.059) Epoch: [82][650/10010] Time 0.315 (0.328) Data 0.001 (0.005) Loss 1.2008 (1.3504) Prec@1 68.750 (68.524) Prec@5 86.719 (87.092) Epoch: [82][660/10010] Time 0.322 (0.328) Data 0.001 (0.005) Loss 1.4135 (1.3493) Prec@1 65.625 (68.548) Prec@5 86.719 (87.104) Epoch: [82][670/10010] Time 0.337 (0.328) Data 0.001 (0.004) Loss 1.0338 (1.3481) Prec@1 71.875 (68.593) Prec@5 91.406 (87.109) Epoch: [82][680/10010] Time 0.323 (0.328) Data 0.001 (0.004) Loss 1.3827 (1.3483) Prec@1 67.969 (68.587) Prec@5 85.156 (87.104) Epoch: [82][690/10010] Time 0.337 (0.328) Data 0.001 (0.004) Loss 1.5910 (1.3479) Prec@1 69.531 (68.606) Prec@5 82.812 (87.113) Epoch: [82][700/10010] Time 0.316 (0.328) Data 0.001 (0.004) Loss 1.3253 (1.3480) Prec@1 68.750 (68.606) Prec@5 86.719 (87.110) Epoch: [82][710/10010] Time 0.315 (0.328) Data 0.001 (0.004) Loss 1.0777 (1.3476) Prec@1 73.438 (68.613) Prec@5 92.188 (87.122) Epoch: [82][720/10010] Time 0.319 (0.328) Data 0.000 (0.004) Loss 1.6173 (1.3495) Prec@1 67.969 (68.577) Prec@5 81.250 (87.095) Epoch: [82][730/10010] Time 0.312 (0.328) Data 0.001 (0.004) Loss 1.2423 (1.3486) Prec@1 67.188 (68.589) Prec@5 90.625 (87.106) Epoch: [82][740/10010] Time 0.340 (0.328) Data 0.000 (0.004) Loss 1.5173 (1.3472) Prec@1 71.094 (68.612) Prec@5 82.812 (87.119) Epoch: [82][750/10010] Time 0.319 (0.328) Data 0.001 (0.004) Loss 1.2128 (1.3475) Prec@1 69.531 (68.601) Prec@5 87.500 (87.109) Epoch: [82][760/10010] Time 0.314 (0.328) Data 0.001 (0.004) Loss 1.3637 (1.3475) Prec@1 69.531 (68.610) Prec@5 89.062 (87.106) Epoch: [82][770/10010] Time 0.321 (0.328) Data 0.001 (0.004) Loss 1.3531 (1.3469) Prec@1 68.750 (68.623) Prec@5 87.500 (87.108) Epoch: [82][780/10010] Time 0.322 (0.328) Data 0.001 (0.004) Loss 1.1625 (1.3457) Prec@1 69.531 (68.637) Prec@5 88.281 (87.126) Epoch: [82][790/10010] Time 0.326 (0.328) Data 0.000 (0.004) Loss 1.5856 (1.3449) Prec@1 60.156 (68.654) Prec@5 85.938 (87.136) Epoch: [82][800/10010] Time 0.335 (0.328) Data 0.001 (0.004) Loss 1.4139 (1.3445) Prec@1 68.750 (68.679) Prec@5 85.938 (87.133) Epoch: [82][810/10010] Time 0.332 (0.328) Data 0.001 (0.004) Loss 1.1905 (1.3448) Prec@1 74.219 (68.671) Prec@5 90.625 (87.130) Epoch: [82][820/10010] Time 0.322 (0.328) Data 0.001 (0.004) Loss 1.8696 (1.3451) Prec@1 58.594 (68.663) Prec@5 80.469 (87.123) Epoch: [82][830/10010] Time 0.337 (0.328) Data 0.001 (0.004) Loss 1.2309 (1.3451) Prec@1 74.219 (68.661) Prec@5 90.625 (87.128) Epoch: [82][840/10010] Time 0.319 (0.328) Data 0.001 (0.004) Loss 1.1442 (1.3447) Prec@1 69.531 (68.656) Prec@5 92.188 (87.138) Epoch: [82][850/10010] Time 0.329 (0.328) Data 0.000 (0.004) Loss 1.8131 (1.3462) Prec@1 61.719 (68.621) Prec@5 82.031 (87.125) Epoch: [82][860/10010] Time 0.320 (0.328) Data 0.001 (0.004) Loss 1.2399 (1.3471) Prec@1 71.094 (68.602) Prec@5 92.188 (87.120) Epoch: [82][870/10010] Time 0.331 (0.327) Data 0.001 (0.004) Loss 1.2112 (1.3462) Prec@1 73.438 (68.611) Prec@5 90.625 (87.143) Epoch: [82][880/10010] Time 0.310 (0.328) Data 0.001 (0.004) Loss 1.6701 (1.3465) Prec@1 64.062 (68.594) Prec@5 76.562 (87.134) Epoch: [82][890/10010] Time 0.328 (0.327) Data 0.001 (0.004) Loss 1.4793 (1.3464) Prec@1 67.188 (68.590) Prec@5 86.719 (87.128) Epoch: [82][900/10010] Time 0.324 (0.327) Data 0.001 (0.003) Loss 1.3349 (1.3465) Prec@1 71.875 (68.596) Prec@5 88.281 (87.121) Epoch: [82][910/10010] Time 0.316 (0.327) Data 0.000 (0.003) Loss 1.2807 (1.3463) Prec@1 66.406 (68.614) Prec@5 86.719 (87.112) Epoch: [82][920/10010] Time 0.333 (0.327) Data 0.000 (0.003) Loss 1.2354 (1.3466) Prec@1 69.531 (68.605) Prec@5 87.500 (87.117) Epoch: [82][930/10010] Time 0.330 (0.327) Data 0.001 (0.003) Loss 1.4204 (1.3464) Prec@1 67.188 (68.606) Prec@5 83.594 (87.112) Epoch: [82][940/10010] Time 0.322 (0.327) Data 0.001 (0.003) Loss 1.5373 (1.3469) Prec@1 62.500 (68.596) Prec@5 86.719 (87.114) Epoch: [82][950/10010] Time 0.334 (0.327) Data 0.001 (0.003) Loss 1.2279 (1.3465) Prec@1 70.312 (68.610) Prec@5 88.281 (87.112) Epoch: [82][960/10010] Time 0.319 (0.327) Data 0.001 (0.003) Loss 1.0818 (1.3464) Prec@1 73.438 (68.602) Prec@5 92.188 (87.111) Epoch: [82][970/10010] Time 0.326 (0.327) Data 0.001 (0.003) Loss 1.2699 (1.3470) Prec@1 68.750 (68.585) Prec@5 87.500 (87.112) Epoch: [82][980/10010] Time 0.319 (0.327) Data 0.000 (0.003) Loss 1.3017 (1.3465) Prec@1 70.312 (68.598) Prec@5 88.281 (87.115) Epoch: [82][990/10010] Time 0.312 (0.327) Data 0.001 (0.003) Loss 1.2902 (1.3458) Prec@1 69.531 (68.601) Prec@5 89.062 (87.120) Epoch: [82][1000/10010] Time 0.323 (0.327) Data 0.000 (0.003) Loss 1.3057 (1.3451) Prec@1 73.438 (68.613) Prec@5 88.281 (87.128) Epoch: [82][1010/10010] Time 0.318 (0.327) Data 0.000 (0.003) Loss 1.2280 (1.3445) Prec@1 72.656 (68.629) Prec@5 90.625 (87.147) Epoch: [82][1020/10010] Time 0.316 (0.327) Data 0.001 (0.003) Loss 1.5938 (1.3446) Prec@1 60.938 (68.615) Prec@5 85.938 (87.150) Epoch: [82][1030/10010] Time 0.313 (0.327) Data 0.001 (0.003) Loss 1.4117 (1.3441) Prec@1 67.969 (68.626) Prec@5 85.156 (87.161) Epoch: [82][1040/10010] Time 0.319 (0.327) Data 0.000 (0.003) Loss 1.1933 (1.3437) Prec@1 69.531 (68.636) Prec@5 91.406 (87.167) Epoch: [82][1050/10010] Time 0.322 (0.327) Data 0.000 (0.003) Loss 1.5403 (1.3447) Prec@1 68.750 (68.623) Prec@5 83.594 (87.155) Epoch: [82][1060/10010] Time 0.313 (0.327) Data 0.001 (0.003) Loss 1.2648 (1.3452) Prec@1 67.188 (68.604) Prec@5 89.062 (87.150) Epoch: [82][1070/10010] Time 0.312 (0.327) Data 0.001 (0.003) Loss 1.4659 (1.3460) Prec@1 67.969 (68.598) Prec@5 84.375 (87.129) Epoch: [82][1080/10010] Time 0.324 (0.327) Data 0.000 (0.003) Loss 1.4960 (1.3458) Prec@1 61.719 (68.592) Prec@5 85.156 (87.129) Epoch: [82][1090/10010] Time 0.318 (0.327) Data 0.000 (0.003) Loss 1.1528 (1.3455) Prec@1 71.875 (68.591) Prec@5 92.188 (87.137) Epoch: [82][1100/10010] Time 0.333 (0.327) Data 0.001 (0.003) Loss 1.2314 (1.3454) Prec@1 69.531 (68.592) Prec@5 89.844 (87.140) Epoch: [82][1110/10010] Time 0.329 (0.327) Data 0.001 (0.003) Loss 1.4254 (1.3455) Prec@1 67.188 (68.606) Prec@5 88.281 (87.136) Epoch: [82][1120/10010] Time 0.315 (0.327) Data 0.001 (0.003) Loss 0.9857 (1.3445) Prec@1 78.125 (68.620) Prec@5 91.406 (87.151) Epoch: [82][1130/10010] Time 0.338 (0.327) Data 0.000 (0.003) Loss 1.1124 (1.3443) Prec@1 71.094 (68.629) Prec@5 89.844 (87.152) Epoch: [82][1140/10010] Time 0.318 (0.327) Data 0.001 (0.003) Loss 1.8194 (1.3456) Prec@1 60.938 (68.595) Prec@5 79.688 (87.135) Epoch: [82][1150/10010] Time 0.332 (0.326) Data 0.000 (0.003) Loss 1.2583 (1.3456) Prec@1 71.875 (68.603) Prec@5 89.844 (87.137) Epoch: [82][1160/10010] Time 0.322 (0.326) Data 0.001 (0.003) Loss 1.5202 (1.3458) Prec@1 63.281 (68.598) Prec@5 87.500 (87.131) Epoch: [82][1170/10010] Time 0.322 (0.326) Data 0.001 (0.003) Loss 1.4871 (1.3462) Prec@1 63.281 (68.584) Prec@5 79.688 (87.119) Epoch: [82][1180/10010] Time 0.327 (0.326) Data 0.001 (0.003) Loss 1.4721 (1.3459) Prec@1 63.281 (68.575) Prec@5 86.719 (87.122) Epoch: [82][1190/10010] Time 0.331 (0.326) Data 0.000 (0.003) Loss 1.3310 (1.3456) Prec@1 69.531 (68.587) Prec@5 88.281 (87.125) Epoch: [82][1200/10010] Time 0.331 (0.326) Data 0.001 (0.003) Loss 1.2698 (1.3454) Prec@1 71.094 (68.592) Prec@5 89.062 (87.128) Epoch: [82][1210/10010] Time 0.344 (0.326) Data 0.000 (0.003) Loss 1.3325 (1.3450) Prec@1 70.312 (68.605) Prec@5 85.156 (87.127) Epoch: [82][1220/10010] Time 0.323 (0.326) Data 0.001 (0.003) Loss 1.2406 (1.3449) Prec@1 74.219 (68.593) Prec@5 90.625 (87.135) Epoch: [82][1230/10010] Time 0.326 (0.326) Data 0.001 (0.003) Loss 1.2183 (1.3451) Prec@1 75.000 (68.589) Prec@5 89.844 (87.139) Epoch: [82][1240/10010] Time 0.322 (0.326) Data 0.000 (0.003) Loss 1.2471 (1.3449) Prec@1 74.219 (68.598) Prec@5 89.844 (87.145) Epoch: [82][1250/10010] Time 0.318 (0.326) Data 0.001 (0.003) Loss 1.0014 (1.3449) Prec@1 73.438 (68.592) Prec@5 92.188 (87.140) Epoch: [82][1260/10010] Time 0.323 (0.326) Data 0.001 (0.003) Loss 1.4809 (1.3450) Prec@1 67.188 (68.593) Prec@5 85.938 (87.144) Epoch: [82][1270/10010] Time 0.318 (0.326) Data 0.001 (0.003) Loss 1.2653 (1.3448) Prec@1 67.188 (68.586) Prec@5 84.375 (87.145) Epoch: [82][1280/10010] Time 0.337 (0.326) Data 0.000 (0.003) Loss 1.4603 (1.3447) Prec@1 66.406 (68.587) Prec@5 85.156 (87.152) Epoch: [82][1290/10010] Time 0.325 (0.326) Data 0.001 (0.003) Loss 1.3168 (1.3450) Prec@1 64.844 (68.571) Prec@5 85.156 (87.147) Epoch: [82][1300/10010] Time 0.337 (0.326) Data 0.001 (0.003) Loss 1.0877 (1.3439) Prec@1 71.094 (68.575) Prec@5 90.625 (87.157) Epoch: [82][1310/10010] Time 0.340 (0.326) Data 0.001 (0.003) Loss 1.1850 (1.3436) Prec@1 71.875 (68.577) Prec@5 90.625 (87.162) Epoch: [82][1320/10010] Time 0.318 (0.326) Data 0.000 (0.003) Loss 1.1416 (1.3433) Prec@1 71.094 (68.586) Prec@5 89.844 (87.174) Epoch: [82][1330/10010] Time 0.315 (0.326) Data 0.001 (0.003) Loss 1.4201 (1.3442) Prec@1 69.531 (68.574) Prec@5 85.156 (87.151) Epoch: [82][1340/10010] Time 0.318 (0.326) Data 0.001 (0.003) Loss 1.3470 (1.3439) Prec@1 72.656 (68.589) Prec@5 85.156 (87.150) Epoch: [82][1350/10010] Time 0.318 (0.326) Data 0.000 (0.003) Loss 1.0683 (1.3442) Prec@1 74.219 (68.579) Prec@5 92.188 (87.157) Epoch: [82][1360/10010] Time 0.319 (0.326) Data 0.000 (0.003) Loss 1.1022 (1.3445) Prec@1 73.438 (68.571) Prec@5 93.750 (87.156) Epoch: [82][1370/10010] Time 0.338 (0.326) Data 0.000 (0.003) Loss 1.5239 (1.3451) Prec@1 69.531 (68.564) Prec@5 83.594 (87.142) Epoch: [82][1380/10010] Time 0.316 (0.326) Data 0.000 (0.002) Loss 1.4502 (1.3450) Prec@1 67.188 (68.560) Prec@5 88.281 (87.145) Epoch: [82][1390/10010] Time 0.318 (0.326) Data 0.001 (0.002) Loss 1.6482 (1.3451) Prec@1 67.188 (68.554) Prec@5 81.250 (87.141) Epoch: [82][1400/10010] Time 0.317 (0.326) Data 0.000 (0.002) Loss 1.4894 (1.3449) Prec@1 65.625 (68.559) Prec@5 85.938 (87.145) Epoch: [82][1410/10010] Time 0.337 (0.326) Data 0.001 (0.002) Loss 1.1364 (1.3447) Prec@1 73.438 (68.557) Prec@5 89.062 (87.150) Epoch: [82][1420/10010] Time 0.333 (0.326) Data 0.000 (0.002) Loss 1.4976 (1.3453) Prec@1 67.188 (68.537) Prec@5 85.156 (87.148) Epoch: [82][1430/10010] Time 0.320 (0.326) Data 0.001 (0.002) Loss 1.4654 (1.3454) Prec@1 64.062 (68.539) Prec@5 82.031 (87.141) Epoch: [82][1440/10010] Time 0.338 (0.326) Data 0.001 (0.002) Loss 1.0823 (1.3455) Prec@1 75.781 (68.533) Prec@5 90.625 (87.142) Epoch: [82][1450/10010] Time 0.325 (0.326) Data 0.001 (0.002) Loss 1.2119 (1.3457) Prec@1 72.656 (68.536) Prec@5 86.719 (87.139) Epoch: [82][1460/10010] Time 0.330 (0.326) Data 0.001 (0.002) Loss 1.5416 (1.3459) Prec@1 59.375 (68.530) Prec@5 82.812 (87.134) Epoch: [82][1470/10010] Time 0.330 (0.326) Data 0.001 (0.002) Loss 1.6993 (1.3464) Prec@1 63.281 (68.522) Prec@5 81.250 (87.125) Epoch: [82][1480/10010] Time 0.333 (0.326) Data 0.001 (0.002) Loss 1.1876 (1.3463) Prec@1 67.969 (68.514) Prec@5 88.281 (87.124) Epoch: [82][1490/10010] Time 0.343 (0.326) Data 0.000 (0.002) Loss 1.2577 (1.3463) Prec@1 67.969 (68.511) Prec@5 89.062 (87.122) Epoch: [82][1500/10010] Time 0.323 (0.326) Data 0.001 (0.002) Loss 1.0582 (1.3459) Prec@1 69.531 (68.518) Prec@5 92.969 (87.131) Epoch: [82][1510/10010] Time 0.339 (0.326) Data 0.001 (0.002) Loss 1.4368 (1.3459) Prec@1 69.531 (68.521) Prec@5 83.594 (87.126) Epoch: [82][1520/10010] Time 0.340 (0.326) Data 0.001 (0.002) Loss 1.3456 (1.3456) Prec@1 70.312 (68.521) Prec@5 85.156 (87.134) Epoch: [82][1530/10010] Time 0.311 (0.326) Data 0.001 (0.002) Loss 1.4002 (1.3457) Prec@1 66.406 (68.523) Prec@5 85.938 (87.136) Epoch: [82][1540/10010] Time 0.322 (0.327) Data 0.000 (0.002) Loss 1.7212 (1.3465) Prec@1 64.062 (68.516) Prec@5 81.250 (87.119) Epoch: [82][1550/10010] Time 0.339 (0.327) Data 0.001 (0.002) Loss 1.1895 (1.3464) Prec@1 72.656 (68.513) Prec@5 91.406 (87.119) Epoch: [82][1560/10010] Time 0.322 (0.327) Data 0.001 (0.002) Loss 1.4134 (1.3466) Prec@1 68.750 (68.510) Prec@5 85.156 (87.116) Epoch: [82][1570/10010] Time 0.339 (0.327) Data 0.001 (0.002) Loss 1.2472 (1.3468) Prec@1 73.438 (68.496) Prec@5 88.281 (87.111) Epoch: [82][1580/10010] Time 0.334 (0.327) Data 0.001 (0.002) Loss 1.3422 (1.3470) Prec@1 64.844 (68.489) Prec@5 85.156 (87.111) Epoch: [82][1590/10010] Time 0.322 (0.327) Data 0.000 (0.002) Loss 1.2924 (1.3472) Prec@1 64.844 (68.494) Prec@5 88.281 (87.109) Epoch: [82][1600/10010] Time 0.317 (0.327) Data 0.001 (0.002) Loss 1.0083 (1.3463) Prec@1 72.656 (68.496) Prec@5 89.844 (87.122) Epoch: [82][1610/10010] Time 0.338 (0.327) Data 0.000 (0.002) Loss 1.3410 (1.3461) Prec@1 67.188 (68.508) Prec@5 84.375 (87.127) Epoch: [82][1620/10010] Time 0.317 (0.327) Data 0.000 (0.002) Loss 1.1916 (1.3465) Prec@1 74.219 (68.510) Prec@5 89.844 (87.119) Epoch: [82][1630/10010] Time 0.337 (0.327) Data 0.000 (0.002) Loss 1.1898 (1.3468) Prec@1 71.875 (68.506) Prec@5 89.844 (87.114) Epoch: [82][1640/10010] Time 0.333 (0.327) Data 0.001 (0.002) Loss 1.3617 (1.3470) Prec@1 69.531 (68.498) Prec@5 88.281 (87.113) Epoch: [82][1650/10010] Time 0.333 (0.327) Data 0.001 (0.002) Loss 1.1826 (1.3470) Prec@1 71.875 (68.505) Prec@5 90.625 (87.114) Epoch: [82][1660/10010] Time 0.336 (0.327) Data 0.001 (0.002) Loss 1.4782 (1.3471) Prec@1 65.625 (68.506) Prec@5 85.938 (87.113) Epoch: [82][1670/10010] Time 0.333 (0.327) Data 0.000 (0.002) Loss 1.4759 (1.3471) Prec@1 63.281 (68.508) Prec@5 84.375 (87.112) Epoch: [82][1680/10010] Time 0.331 (0.327) Data 0.001 (0.002) Loss 1.1766 (1.3475) Prec@1 74.219 (68.507) Prec@5 88.281 (87.107) Epoch: [82][1690/10010] Time 0.318 (0.327) Data 0.001 (0.002) Loss 1.6524 (1.3474) Prec@1 61.719 (68.512) Prec@5 83.594 (87.110) Epoch: [82][1700/10010] Time 0.330 (0.327) Data 0.000 (0.002) Loss 1.2033 (1.3470) Prec@1 74.219 (68.519) Prec@5 88.281 (87.114) Epoch: [82][1710/10010] Time 0.332 (0.327) Data 0.001 (0.002) Loss 1.2884 (1.3466) Prec@1 68.750 (68.529) Prec@5 85.156 (87.112) Epoch: [82][1720/10010] Time 0.338 (0.327) Data 0.001 (0.002) Loss 1.0154 (1.3465) Prec@1 74.219 (68.523) Prec@5 91.406 (87.116) Epoch: [82][1730/10010] Time 0.331 (0.327) Data 0.001 (0.002) Loss 1.6153 (1.3461) Prec@1 60.938 (68.526) Prec@5 85.938 (87.126) Epoch: [82][1740/10010] Time 0.331 (0.327) Data 0.000 (0.002) Loss 1.4958 (1.3463) Prec@1 64.844 (68.514) Prec@5 88.281 (87.126) Epoch: [82][1750/10010] Time 0.330 (0.327) Data 0.000 (0.002) Loss 1.5980 (1.3464) Prec@1 63.281 (68.512) Prec@5 82.031 (87.129) Epoch: [82][1760/10010] Time 0.321 (0.327) Data 0.001 (0.002) Loss 1.4393 (1.3467) Prec@1 66.406 (68.511) Prec@5 81.250 (87.119) Epoch: [82][1770/10010] Time 0.322 (0.327) Data 0.001 (0.002) Loss 1.5509 (1.3470) Prec@1 60.156 (68.500) Prec@5 87.500 (87.117) Epoch: [82][1780/10010] Time 0.331 (0.327) Data 0.001 (0.002) Loss 1.1701 (1.3471) Prec@1 74.219 (68.498) Prec@5 89.844 (87.115) Epoch: [82][1790/10010] Time 0.320 (0.327) Data 0.001 (0.002) Loss 1.4250 (1.3474) Prec@1 63.281 (68.492) Prec@5 86.719 (87.109) Epoch: [82][1800/10010] Time 0.318 (0.327) Data 0.001 (0.002) Loss 1.4262 (1.3478) Prec@1 73.438 (68.488) Prec@5 86.719 (87.103) Epoch: [82][1810/10010] Time 0.334 (0.327) Data 0.001 (0.002) Loss 1.1014 (1.3473) Prec@1 66.406 (68.495) Prec@5 93.750 (87.110) Epoch: [82][1820/10010] Time 0.340 (0.327) Data 0.000 (0.002) Loss 1.2452 (1.3471) Prec@1 68.750 (68.501) Prec@5 85.938 (87.107) Epoch: [82][1830/10010] Time 0.327 (0.327) Data 0.000 (0.002) Loss 1.1650 (1.3473) Prec@1 73.438 (68.497) Prec@5 86.719 (87.101) Epoch: [82][1840/10010] Time 0.323 (0.327) Data 0.000 (0.002) Loss 0.9465 (1.3470) Prec@1 78.125 (68.508) Prec@5 95.312 (87.102) Epoch: [82][1850/10010] Time 0.325 (0.327) Data 0.001 (0.002) Loss 1.4943 (1.3470) Prec@1 62.500 (68.507) Prec@5 87.500 (87.101) Epoch: [82][1860/10010] Time 0.319 (0.327) Data 0.001 (0.002) Loss 1.6268 (1.3470) Prec@1 61.719 (68.505) Prec@5 82.031 (87.099) Epoch: [82][1870/10010] Time 0.336 (0.327) Data 0.001 (0.002) Loss 1.2482 (1.3472) Prec@1 70.312 (68.502) Prec@5 90.625 (87.097) Epoch: [82][1880/10010] Time 0.331 (0.327) Data 0.000 (0.002) Loss 1.5420 (1.3473) Prec@1 60.938 (68.499) Prec@5 85.156 (87.090) Epoch: [82][1890/10010] Time 0.341 (0.327) Data 0.000 (0.002) Loss 1.4212 (1.3474) Prec@1 67.969 (68.496) Prec@5 85.156 (87.088) Epoch: [82][1900/10010] Time 0.317 (0.327) Data 0.000 (0.002) Loss 1.1943 (1.3476) Prec@1 69.531 (68.499) Prec@5 89.844 (87.091) Epoch: [82][1910/10010] Time 0.320 (0.327) Data 0.001 (0.002) Loss 1.0717 (1.3472) Prec@1 70.312 (68.493) Prec@5 93.750 (87.100) Epoch: [82][1920/10010] Time 0.327 (0.327) Data 0.001 (0.002) Loss 1.4875 (1.3470) Prec@1 65.625 (68.494) Prec@5 83.594 (87.106) Epoch: [82][1930/10010] Time 0.322 (0.327) Data 0.001 (0.002) Loss 1.3619 (1.3468) Prec@1 72.656 (68.508) Prec@5 88.281 (87.109) Epoch: [82][1940/10010] Time 0.324 (0.327) Data 0.000 (0.002) Loss 1.3764 (1.3465) Prec@1 70.312 (68.509) Prec@5 85.938 (87.118) Epoch: [82][1950/10010] Time 0.309 (0.327) Data 0.000 (0.002) Loss 1.2001 (1.3463) Prec@1 72.656 (68.511) Prec@5 88.281 (87.122) /data/vision/torralba/deepscene/lib/anaconda2/lib/python2.7/site-packages/PIL/TiffImagePlugin.py:692: UserWarning: Possibly corrupt EXIF data. Expecting to read 1835008 bytes but only got 0. Skipping tag 0 "Skipping tag %s" % (size, len(data), tag)) Epoch: [82][1960/10010] Time 0.323 (0.327) Data 0.001 (0.002) Loss 1.2507 (1.3466) Prec@1 67.188 (68.510) Prec@5 85.938 (87.116) Epoch: [82][1970/10010] Time 0.321 (0.327) Data 0.001 (0.002) Loss 1.4104 (1.3466) Prec@1 65.625 (68.512) Prec@5 85.938 (87.118) Epoch: [82][1980/10010] Time 0.326 (0.327) Data 0.001 (0.002) Loss 1.1857 (1.3466) Prec@1 72.656 (68.508) Prec@5 87.500 (87.113) Epoch: [82][1990/10010] Time 0.327 (0.327) Data 0.001 (0.002) Loss 1.1965 (1.3464) Prec@1 69.531 (68.509) Prec@5 86.719 (87.114) Epoch: [82][2000/10010] Time 0.326 (0.327) Data 0.001 (0.002) Loss 1.3116 (1.3460) Prec@1 68.750 (68.514) Prec@5 85.938 (87.118) Epoch: [82][2010/10010] Time 0.323 (0.327) Data 0.001 (0.002) Loss 1.1599 (1.3461) Prec@1 72.656 (68.509) Prec@5 89.062 (87.113) Epoch: [82][2020/10010] Time 0.315 (0.327) Data 0.001 (0.002) Loss 1.5761 (1.3463) Prec@1 70.312 (68.506) Prec@5 82.812 (87.112) Epoch: [82][2030/10010] Time 0.335 (0.327) Data 0.000 (0.002) Loss 1.3329 (1.3465) Prec@1 71.875 (68.511) Prec@5 88.281 (87.110) Epoch: [82][2040/10010] Time 0.317 (0.327) Data 0.001 (0.002) Loss 1.3830 (1.3462) Prec@1 69.531 (68.517) Prec@5 85.938 (87.120) Epoch: [82][2050/10010] Time 0.338 (0.327) Data 0.001 (0.002) Loss 1.3918 (1.3459) Prec@1 68.750 (68.522) Prec@5 89.062 (87.129) Epoch: [82][2060/10010] Time 0.336 (0.327) Data 0.001 (0.002) Loss 1.2428 (1.3459) Prec@1 68.750 (68.521) Prec@5 90.625 (87.130) Epoch: [82][2070/10010] Time 0.319 (0.327) Data 0.001 (0.002) Loss 1.3570 (1.3457) Prec@1 67.969 (68.528) Prec@5 85.156 (87.131) Epoch: [82][2080/10010] Time 0.335 (0.326) Data 0.001 (0.002) Loss 1.4602 (1.3456) Prec@1 62.500 (68.526) Prec@5 85.156 (87.138) Epoch: [82][2090/10010] Time 0.342 (0.326) Data 0.000 (0.002) Loss 1.2457 (1.3458) Prec@1 64.844 (68.523) Prec@5 91.406 (87.141) Epoch: [82][2100/10010] Time 0.324 (0.326) Data 0.001 (0.002) Loss 1.4331 (1.3459) Prec@1 64.844 (68.526) Prec@5 86.719 (87.146) Epoch: [82][2110/10010] Time 0.332 (0.326) Data 0.001 (0.002) Loss 1.3110 (1.3457) Prec@1 73.438 (68.531) Prec@5 86.719 (87.148) Epoch: [82][2120/10010] Time 0.320 (0.327) Data 0.001 (0.002) Loss 1.6001 (1.3459) Prec@1 67.188 (68.528) Prec@5 82.031 (87.148) Epoch: [82][2130/10010] Time 0.316 (0.326) Data 0.001 (0.002) Loss 1.2677 (1.3459) Prec@1 71.875 (68.530) Prec@5 91.406 (87.144) Epoch: [82][2140/10010] Time 0.330 (0.326) Data 0.001 (0.002) Loss 1.4609 (1.3465) Prec@1 68.750 (68.525) Prec@5 83.594 (87.134) Epoch: [82][2150/10010] Time 0.314 (0.326) Data 0.001 (0.002) Loss 1.4684 (1.3465) Prec@1 65.625 (68.520) Prec@5 86.719 (87.135) Epoch: [82][2160/10010] Time 0.317 (0.326) Data 0.001 (0.002) Loss 1.2401 (1.3464) Prec@1 69.531 (68.523) Prec@5 91.406 (87.136) Epoch: [82][2170/10010] Time 0.325 (0.326) Data 0.001 (0.002) Loss 1.1144 (1.3464) Prec@1 70.312 (68.525) Prec@5 88.281 (87.134) Epoch: [82][2180/10010] Time 0.338 (0.326) Data 0.001 (0.002) Loss 1.2808 (1.3464) Prec@1 70.312 (68.526) Prec@5 89.062 (87.132) Epoch: [82][2190/10010] Time 0.335 (0.326) Data 0.000 (0.002) Loss 1.1786 (1.3465) Prec@1 74.219 (68.529) Prec@5 87.500 (87.125) Epoch: [82][2200/10010] Time 0.326 (0.326) Data 0.001 (0.002) Loss 1.3472 (1.3460) Prec@1 68.750 (68.538) Prec@5 85.938 (87.132) Epoch: [82][2210/10010] Time 0.329 (0.326) Data 0.001 (0.002) Loss 1.4118 (1.3458) Prec@1 68.750 (68.539) Prec@5 87.500 (87.135) Epoch: [82][2220/10010] Time 0.335 (0.326) Data 0.001 (0.002) Loss 1.4816 (1.3462) Prec@1 62.500 (68.527) Prec@5 83.594 (87.128) Epoch: [82][2230/10010] Time 0.340 (0.326) Data 0.001 (0.002) Loss 1.4995 (1.3464) Prec@1 60.938 (68.524) Prec@5 85.156 (87.124) Epoch: [82][2240/10010] Time 0.332 (0.326) Data 0.001 (0.002) Loss 1.4603 (1.3463) Prec@1 65.625 (68.532) Prec@5 85.156 (87.123) Epoch: [82][2250/10010] Time 0.323 (0.326) Data 0.000 (0.002) Loss 1.0845 (1.3460) Prec@1 71.094 (68.532) Prec@5 91.406 (87.128) Epoch: [82][2260/10010] Time 0.341 (0.326) Data 0.000 (0.002) Loss 1.0627 (1.3455) Prec@1 71.875 (68.539) Prec@5 87.500 (87.131) Epoch: [82][2270/10010] Time 0.320 (0.326) Data 0.001 (0.002) Loss 1.3808 (1.3458) Prec@1 70.312 (68.532) Prec@5 88.281 (87.126) Epoch: [82][2280/10010] Time 0.339 (0.326) Data 0.001 (0.002) Loss 1.4400 (1.3455) Prec@1 66.406 (68.541) Prec@5 83.594 (87.131) Epoch: [82][2290/10010] Time 0.333 (0.326) Data 0.000 (0.002) Loss 1.2742 (1.3456) Prec@1 70.312 (68.541) Prec@5 86.719 (87.127) Epoch: [82][2300/10010] Time 0.331 (0.326) Data 0.000 (0.002) Loss 1.2593 (1.3458) Prec@1 73.438 (68.538) Prec@5 89.062 (87.123) Epoch: [82][2310/10010] Time 0.327 (0.326) Data 0.001 (0.002) Loss 1.4444 (1.3458) Prec@1 64.844 (68.540) Prec@5 86.719 (87.121) Epoch: [82][2320/10010] Time 0.312 (0.326) Data 0.001 (0.002) Loss 2.1145 (1.3466) Prec@1 56.250 (68.529) Prec@5 74.219 (87.109) Epoch: [82][2330/10010] Time 0.339 (0.326) Data 0.000 (0.002) Loss 1.3932 (1.3463) Prec@1 70.312 (68.536) Prec@5 88.281 (87.114) Epoch: [82][2340/10010] Time 0.330 (0.326) Data 0.001 (0.002) Loss 1.2983 (1.3461) Prec@1 73.438 (68.542) Prec@5 85.156 (87.115) Epoch: [82][2350/10010] Time 0.321 (0.326) Data 0.001 (0.002) Loss 1.2821 (1.3462) Prec@1 70.312 (68.542) Prec@5 87.500 (87.112) Epoch: [82][2360/10010] Time 0.333 (0.326) Data 0.000 (0.002) Loss 1.4344 (1.3466) Prec@1 66.406 (68.536) Prec@5 83.594 (87.105) Epoch: [82][2370/10010] Time 0.329 (0.326) Data 0.001 (0.002) Loss 1.4583 (1.3465) Prec@1 65.625 (68.538) Prec@5 85.938 (87.104) Epoch: [82][2380/10010] Time 0.320 (0.327) Data 0.001 (0.002) Loss 0.8949 (1.3462) Prec@1 75.781 (68.538) Prec@5 90.625 (87.106) Epoch: [82][2390/10010] Time 0.334 (0.327) Data 0.001 (0.002) Loss 1.2933 (1.3462) Prec@1 68.750 (68.539) Prec@5 87.500 (87.106) Epoch: [82][2400/10010] Time 0.319 (0.327) Data 0.001 (0.002) Loss 1.2458 (1.3463) Prec@1 74.219 (68.540) Prec@5 86.719 (87.108) Epoch: [82][2410/10010] Time 0.331 (0.327) Data 0.000 (0.002) Loss 1.3210 (1.3461) Prec@1 67.969 (68.544) Prec@5 85.156 (87.109) Epoch: [82][2420/10010] Time 0.327 (0.327) Data 0.000 (0.002) Loss 1.3864 (1.3462) Prec@1 67.969 (68.542) Prec@5 88.281 (87.108) Epoch: [82][2430/10010] Time 0.332 (0.327) Data 0.001 (0.002) Loss 1.6246 (1.3460) Prec@1 67.969 (68.553) Prec@5 82.812 (87.111) Epoch: [82][2440/10010] Time 0.318 (0.327) Data 0.000 (0.002) Loss 1.2689 (1.3458) Prec@1 65.625 (68.555) Prec@5 88.281 (87.112) Epoch: [82][2450/10010] Time 0.319 (0.326) Data 0.001 (0.002) Loss 1.2955 (1.3459) Prec@1 71.094 (68.558) Prec@5 85.938 (87.109) Epoch: [82][2460/10010] Time 0.319 (0.326) Data 0.001 (0.002) Loss 1.4996 (1.3460) Prec@1 63.281 (68.551) Prec@5 86.719 (87.108) Epoch: [82][2470/10010] Time 0.338 (0.326) Data 0.001 (0.002) Loss 1.4520 (1.3463) Prec@1 71.094 (68.552) Prec@5 85.156 (87.101) Epoch: [82][2480/10010] Time 0.343 (0.326) Data 0.001 (0.002) Loss 1.2396 (1.3466) Prec@1 72.656 (68.547) Prec@5 88.281 (87.097) Epoch: [82][2490/10010] Time 0.337 (0.326) Data 0.000 (0.002) Loss 1.4548 (1.3467) Prec@1 73.438 (68.549) Prec@5 86.719 (87.099) Epoch: [82][2500/10010] Time 0.317 (0.326) Data 0.001 (0.002) Loss 1.1465 (1.3467) Prec@1 74.219 (68.550) Prec@5 88.281 (87.098) Epoch: [82][2510/10010] Time 0.323 (0.326) Data 0.000 (0.002) Loss 1.3020 (1.3466) Prec@1 70.312 (68.553) Prec@5 88.281 (87.097) Epoch: [82][2520/10010] Time 0.314 (0.326) Data 0.001 (0.002) Loss 1.3803 (1.3469) Prec@1 74.219 (68.551) Prec@5 87.500 (87.095) Epoch: [82][2530/10010] Time 0.338 (0.326) Data 0.000 (0.002) Loss 1.1423 (1.3469) Prec@1 71.875 (68.552) Prec@5 89.844 (87.097) Epoch: [82][2540/10010] Time 0.320 (0.326) Data 0.001 (0.002) Loss 1.3065 (1.3469) Prec@1 70.312 (68.553) Prec@5 88.281 (87.097) Epoch: [82][2550/10010] Time 0.318 (0.326) Data 0.000 (0.002) Loss 1.2135 (1.3468) Prec@1 70.312 (68.554) Prec@5 87.500 (87.096) Epoch: [82][2560/10010] Time 0.339 (0.326) Data 0.001 (0.002) Loss 1.9198 (1.3468) Prec@1 54.688 (68.555) Prec@5 79.688 (87.097) Epoch: [82][2570/10010] Time 0.321 (0.326) Data 0.000 (0.002) Loss 1.4025 (1.3464) Prec@1 71.094 (68.564) Prec@5 85.156 (87.106) Epoch: [82][2580/10010] Time 0.319 (0.326) Data 0.001 (0.002) Loss 1.4057 (1.3467) Prec@1 68.750 (68.559) Prec@5 89.062 (87.100) Epoch: [82][2590/10010] Time 0.335 (0.326) Data 0.001 (0.002) Loss 1.4318 (1.3468) Prec@1 67.969 (68.553) Prec@5 85.938 (87.100) Epoch: [82][2600/10010] Time 0.315 (0.326) Data 0.001 (0.002) Loss 1.1963 (1.3468) Prec@1 69.531 (68.558) Prec@5 89.844 (87.101) Epoch: [82][2610/10010] Time 0.322 (0.326) Data 0.000 (0.002) Loss 1.7041 (1.3470) Prec@1 64.844 (68.555) Prec@5 82.812 (87.098) Epoch: [82][2620/10010] Time 0.331 (0.326) Data 0.001 (0.002) Loss 0.9414 (1.3471) Prec@1 74.219 (68.551) Prec@5 94.531 (87.099) Epoch: [82][2630/10010] Time 0.321 (0.326) Data 0.001 (0.002) Loss 1.5467 (1.3468) Prec@1 62.500 (68.559) Prec@5 85.156 (87.102) Epoch: [82][2640/10010] Time 0.319 (0.326) Data 0.000 (0.002) Loss 1.1806 (1.3466) Prec@1 68.750 (68.561) Prec@5 91.406 (87.107) Epoch: [82][2650/10010] Time 0.318 (0.326) Data 0.001 (0.002) Loss 1.3858 (1.3469) Prec@1 66.406 (68.558) Prec@5 87.500 (87.104) Epoch: [82][2660/10010] Time 0.309 (0.326) Data 0.001 (0.002) Loss 1.3315 (1.3470) Prec@1 66.406 (68.555) Prec@5 85.156 (87.103) Epoch: [82][2670/10010] Time 0.333 (0.326) Data 0.001 (0.002) Loss 1.3960 (1.3470) Prec@1 71.094 (68.558) Prec@5 81.250 (87.100) Epoch: [82][2680/10010] Time 0.321 (0.326) Data 0.001 (0.002) Loss 1.2473 (1.3470) Prec@1 72.656 (68.556) Prec@5 86.719 (87.103) Epoch: [82][2690/10010] Time 0.320 (0.326) Data 0.001 (0.002) Loss 1.2204 (1.3470) Prec@1 67.969 (68.554) Prec@5 89.062 (87.098) Epoch: [82][2700/10010] Time 0.320 (0.326) Data 0.001 (0.002) Loss 1.2217 (1.3470) Prec@1 71.875 (68.554) Prec@5 89.844 (87.099) Epoch: [82][2710/10010] Time 0.320 (0.326) Data 0.000 (0.002) Loss 1.3214 (1.3472) Prec@1 68.750 (68.545) Prec@5 85.938 (87.096) Epoch: [82][2720/10010] Time 0.324 (0.326) Data 0.000 (0.002) Loss 1.4764 (1.3473) Prec@1 64.062 (68.540) Prec@5 82.812 (87.093) Epoch: [82][2730/10010] Time 0.320 (0.326) Data 0.000 (0.002) Loss 1.4361 (1.3475) Prec@1 64.844 (68.530) Prec@5 83.594 (87.090) Epoch: [82][2740/10010] Time 0.335 (0.326) Data 0.001 (0.002) Loss 1.4960 (1.3479) Prec@1 68.750 (68.529) Prec@5 82.812 (87.084) Epoch: [82][2750/10010] Time 0.328 (0.326) Data 0.001 (0.002) Loss 1.3745 (1.3479) Prec@1 71.094 (68.529) Prec@5 86.719 (87.086) Epoch: [82][2760/10010] Time 0.319 (0.326) Data 0.001 (0.002) Loss 1.1526 (1.3477) Prec@1 73.438 (68.533) Prec@5 85.938 (87.087) Epoch: [82][2770/10010] Time 0.318 (0.326) Data 0.001 (0.002) Loss 1.4656 (1.3474) Prec@1 70.312 (68.541) Prec@5 85.156 (87.091) Epoch: [82][2780/10010] Time 0.335 (0.326) Data 0.001 (0.002) Loss 1.3014 (1.3474) Prec@1 74.219 (68.548) Prec@5 86.719 (87.091) Epoch: [82][2790/10010] Time 0.321 (0.326) Data 0.001 (0.002) Loss 1.3046 (1.3478) Prec@1 68.750 (68.543) Prec@5 89.844 (87.086) Epoch: [82][2800/10010] Time 0.334 (0.326) Data 0.001 (0.002) Loss 1.5599 (1.3478) Prec@1 67.188 (68.546) Prec@5 81.250 (87.085) Epoch: [82][2810/10010] Time 0.315 (0.326) Data 0.001 (0.002) Loss 1.5154 (1.3475) Prec@1 66.406 (68.552) Prec@5 87.500 (87.092) Epoch: [82][2820/10010] Time 0.340 (0.326) Data 0.000 (0.002) Loss 1.1468 (1.3478) Prec@1 71.875 (68.543) Prec@5 88.281 (87.085) Epoch: [82][2830/10010] Time 0.314 (0.326) Data 0.000 (0.002) Loss 1.2335 (1.3477) Prec@1 71.875 (68.546) Prec@5 87.500 (87.086) Epoch: [82][2840/10010] Time 0.339 (0.326) Data 0.000 (0.002) Loss 1.2817 (1.3474) Prec@1 68.750 (68.548) Prec@5 85.938 (87.091) Epoch: [82][2850/10010] Time 0.338 (0.326) Data 0.000 (0.002) Loss 1.4915 (1.3475) Prec@1 62.500 (68.546) Prec@5 85.156 (87.091) Epoch: [82][2860/10010] Time 0.331 (0.326) Data 0.000 (0.002) Loss 1.2694 (1.3475) Prec@1 75.000 (68.551) Prec@5 89.844 (87.092) Epoch: [82][2870/10010] Time 0.341 (0.326) Data 0.000 (0.002) Loss 1.1597 (1.3478) Prec@1 74.219 (68.544) Prec@5 92.188 (87.088) Epoch: [82][2880/10010] Time 0.324 (0.326) Data 0.001 (0.002) Loss 1.4668 (1.3477) Prec@1 68.750 (68.545) Prec@5 86.719 (87.087) Epoch: [82][2890/10010] Time 0.322 (0.326) Data 0.000 (0.002) Loss 1.1814 (1.3478) Prec@1 71.094 (68.548) Prec@5 88.281 (87.087) Epoch: [82][2900/10010] Time 0.340 (0.326) Data 0.000 (0.002) Loss 1.1133 (1.3477) Prec@1 71.094 (68.551) Prec@5 91.406 (87.091) Epoch: [82][2910/10010] Time 0.333 (0.326) Data 0.001 (0.002) Loss 1.4887 (1.3478) Prec@1 68.750 (68.554) Prec@5 84.375 (87.089) Epoch: [82][2920/10010] Time 0.321 (0.326) Data 0.001 (0.002) Loss 1.3076 (1.3480) Prec@1 70.312 (68.547) Prec@5 86.719 (87.087) /data/vision/torralba/deepscene/lib/anaconda2/lib/python2.7/site-packages/PIL/TiffImagePlugin.py:692: UserWarning: Possibly corrupt EXIF data. Expecting to read 2555904 bytes but only got 0. Skipping tag 0 "Skipping tag %s" % (size, len(data), tag)) Epoch: [82][2930/10010] Time 0.341 (0.326) Data 0.000 (0.002) Loss 1.2771 (1.3479) Prec@1 67.969 (68.544) Prec@5 89.062 (87.090) Epoch: [82][2940/10010] Time 0.334 (0.326) Data 0.001 (0.002) Loss 1.0734 (1.3480) Prec@1 76.562 (68.543) Prec@5 87.500 (87.088) Epoch: [82][2950/10010] Time 0.313 (0.326) Data 0.000 (0.002) Loss 1.1944 (1.3480) Prec@1 71.875 (68.545) Prec@5 90.625 (87.087) Epoch: [82][2960/10010] Time 0.321 (0.326) Data 0.001 (0.002) Loss 1.2947 (1.3482) Prec@1 68.750 (68.541) Prec@5 85.938 (87.083) Epoch: [82][2970/10010] Time 0.338 (0.326) Data 0.001 (0.002) Loss 1.4366 (1.3484) Prec@1 71.875 (68.541) Prec@5 85.156 (87.083) Epoch: [82][2980/10010] Time 0.312 (0.326) Data 0.000 (0.001) Loss 1.2975 (1.3487) Prec@1 68.750 (68.534) Prec@5 87.500 (87.078) Epoch: [82][2990/10010] Time 0.336 (0.326) Data 0.001 (0.001) Loss 1.3992 (1.3488) Prec@1 67.969 (68.535) Prec@5 85.156 (87.078) Epoch: [82][3000/10010] Time 0.336 (0.326) Data 0.000 (0.001) Loss 1.4614 (1.3487) Prec@1 70.312 (68.535) Prec@5 84.375 (87.080) Epoch: [82][3010/10010] Time 0.315 (0.326) Data 0.001 (0.001) Loss 1.3045 (1.3486) Prec@1 70.312 (68.538) Prec@5 87.500 (87.084) Epoch: [82][3020/10010] Time 0.309 (0.326) Data 0.001 (0.001) Loss 1.7102 (1.3488) Prec@1 67.969 (68.535) Prec@5 80.469 (87.082) Epoch: [82][3030/10010] Time 0.319 (0.326) Data 0.001 (0.001) Loss 1.6351 (1.3490) Prec@1 61.719 (68.532) Prec@5 81.250 (87.080) Epoch: [82][3040/10010] Time 0.340 (0.326) Data 0.001 (0.001) Loss 1.5375 (1.3491) Prec@1 72.656 (68.531) Prec@5 85.938 (87.079) Epoch: [82][3050/10010] Time 0.319 (0.326) Data 0.001 (0.001) Loss 1.2502 (1.3489) Prec@1 71.875 (68.536) Prec@5 87.500 (87.079) Epoch: [82][3060/10010] Time 0.340 (0.326) Data 0.000 (0.001) Loss 1.3022 (1.3493) Prec@1 70.312 (68.534) Prec@5 85.156 (87.072) Epoch: [82][3070/10010] Time 0.334 (0.327) Data 0.000 (0.001) Loss 1.1105 (1.3491) Prec@1 76.562 (68.535) Prec@5 89.844 (87.071) Epoch: [82][3080/10010] Time 0.337 (0.327) Data 0.000 (0.001) Loss 1.4249 (1.3491) Prec@1 75.000 (68.546) Prec@5 85.938 (87.067) Epoch: [82][3090/10010] Time 0.329 (0.327) Data 0.001 (0.001) Loss 1.2790 (1.3487) Prec@1 70.312 (68.553) Prec@5 86.719 (87.075) Epoch: [82][3100/10010] Time 0.327 (0.327) Data 0.000 (0.001) Loss 1.2148 (1.3485) Prec@1 70.312 (68.558) Prec@5 87.500 (87.076) Epoch: [82][3110/10010] Time 0.317 (0.327) Data 0.001 (0.001) Loss 1.1669 (1.3483) Prec@1 75.000 (68.560) Prec@5 89.062 (87.077) Epoch: [82][3120/10010] Time 0.341 (0.327) Data 0.000 (0.001) Loss 1.3177 (1.3485) Prec@1 71.875 (68.562) Prec@5 88.281 (87.076) Epoch: [82][3130/10010] Time 0.318 (0.327) Data 0.001 (0.001) Loss 1.0458 (1.3481) Prec@1 71.875 (68.569) Prec@5 91.406 (87.082) Epoch: [82][3140/10010] Time 0.333 (0.327) Data 0.000 (0.001) Loss 1.1997 (1.3480) Prec@1 71.875 (68.570) Prec@5 87.500 (87.083) Epoch: [82][3150/10010] Time 0.316 (0.327) Data 0.001 (0.001) Loss 1.5015 (1.3479) Prec@1 64.062 (68.573) Prec@5 86.719 (87.083) Epoch: [82][3160/10010] Time 0.328 (0.327) Data 0.001 (0.001) Loss 1.2702 (1.3477) Prec@1 66.406 (68.574) Prec@5 87.500 (87.085) Epoch: [82][3170/10010] Time 0.328 (0.327) Data 0.001 (0.001) Loss 1.2157 (1.3474) Prec@1 69.531 (68.579) Prec@5 89.844 (87.088) Epoch: [82][3180/10010] Time 0.336 (0.327) Data 0.001 (0.001) Loss 1.3586 (1.3475) Prec@1 71.875 (68.579) Prec@5 85.156 (87.086) Epoch: [82][3190/10010] Time 0.336 (0.327) Data 0.001 (0.001) Loss 1.3218 (1.3474) Prec@1 67.969 (68.583) Prec@5 85.156 (87.086) Epoch: [82][3200/10010] Time 0.315 (0.327) Data 0.001 (0.001) Loss 1.0055 (1.3472) Prec@1 76.562 (68.587) Prec@5 90.625 (87.088) Epoch: [82][3210/10010] Time 0.334 (0.327) Data 0.001 (0.001) Loss 1.7411 (1.3473) Prec@1 58.594 (68.588) Prec@5 80.469 (87.088) Epoch: [82][3220/10010] Time 0.311 (0.327) Data 0.001 (0.001) Loss 1.1228 (1.3473) Prec@1 73.438 (68.590) Prec@5 90.625 (87.086) Epoch: [82][3230/10010] Time 0.364 (0.327) Data 0.001 (0.001) Loss 1.4884 (1.3472) Prec@1 71.875 (68.595) Prec@5 85.156 (87.088) Epoch: [82][3240/10010] Time 0.333 (0.327) Data 0.000 (0.001) Loss 1.5018 (1.3473) Prec@1 69.531 (68.599) Prec@5 84.375 (87.086) Epoch: [82][3250/10010] Time 0.339 (0.327) Data 0.000 (0.001) Loss 1.6474 (1.3475) Prec@1 61.719 (68.594) Prec@5 83.594 (87.084) Epoch: [82][3260/10010] Time 0.320 (0.327) Data 0.001 (0.001) Loss 1.5039 (1.3475) Prec@1 62.500 (68.591) Prec@5 89.062 (87.086) Epoch: [82][3270/10010] Time 0.314 (0.327) Data 0.001 (0.001) Loss 1.3249 (1.3473) Prec@1 67.969 (68.595) Prec@5 84.375 (87.088) Epoch: [82][3280/10010] Time 0.340 (0.327) Data 0.001 (0.001) Loss 1.2917 (1.3474) Prec@1 68.750 (68.595) Prec@5 85.938 (87.085) Epoch: [82][3290/10010] Time 0.326 (0.327) Data 0.001 (0.001) Loss 1.3781 (1.3474) Prec@1 68.750 (68.597) Prec@5 84.375 (87.087) Epoch: [82][3300/10010] Time 0.321 (0.327) Data 0.001 (0.001) Loss 1.4380 (1.3474) Prec@1 71.094 (68.595) Prec@5 84.375 (87.085) Epoch: [82][3310/10010] Time 0.312 (0.327) Data 0.001 (0.001) Loss 1.3835 (1.3474) Prec@1 71.094 (68.596) Prec@5 85.938 (87.084) Epoch: [82][3320/10010] Time 0.337 (0.327) Data 0.001 (0.001) Loss 1.3984 (1.3476) Prec@1 68.750 (68.595) Prec@5 86.719 (87.079) Epoch: [82][3330/10010] Time 0.318 (0.327) Data 0.001 (0.001) Loss 1.1898 (1.3474) Prec@1 78.125 (68.601) Prec@5 90.625 (87.083) Epoch: [82][3340/10010] Time 0.320 (0.327) Data 0.001 (0.001) Loss 1.4542 (1.3471) Prec@1 68.750 (68.614) Prec@5 86.719 (87.086) Epoch: [82][3350/10010] Time 0.326 (0.327) Data 0.001 (0.001) Loss 1.3453 (1.3473) Prec@1 67.969 (68.607) Prec@5 85.938 (87.085) Epoch: [82][3360/10010] Time 0.327 (0.327) Data 0.000 (0.001) Loss 1.1104 (1.3472) Prec@1 70.312 (68.605) Prec@5 89.844 (87.082) Epoch: [82][3370/10010] Time 0.318 (0.327) Data 0.001 (0.001) Loss 1.4668 (1.3473) Prec@1 66.406 (68.600) Prec@5 82.812 (87.082) Epoch: [82][3380/10010] Time 0.316 (0.327) Data 0.001 (0.001) Loss 1.2952 (1.3471) Prec@1 71.875 (68.602) Prec@5 86.719 (87.086) Epoch: [82][3390/10010] Time 0.342 (0.327) Data 0.001 (0.001) Loss 1.3690 (1.3472) Prec@1 75.781 (68.604) Prec@5 84.375 (87.081) Epoch: [82][3400/10010] Time 0.321 (0.327) Data 0.001 (0.001) Loss 1.4166 (1.3473) Prec@1 69.531 (68.602) Prec@5 84.375 (87.080) Epoch: [82][3410/10010] Time 0.316 (0.327) Data 0.000 (0.001) Loss 1.2678 (1.3473) Prec@1 68.750 (68.603) Prec@5 87.500 (87.083) Epoch: [82][3420/10010] Time 0.320 (0.327) Data 0.001 (0.001) Loss 1.4478 (1.3474) Prec@1 64.844 (68.601) Prec@5 83.594 (87.080) Epoch: [82][3430/10010] Time 0.315 (0.327) Data 0.001 (0.001) Loss 1.4678 (1.3473) Prec@1 68.750 (68.603) Prec@5 84.375 (87.080) Epoch: [82][3440/10010] Time 0.324 (0.327) Data 0.001 (0.001) Loss 1.2524 (1.3473) Prec@1 68.750 (68.608) Prec@5 89.844 (87.079) Epoch: [82][3450/10010] Time 0.321 (0.327) Data 0.001 (0.001) Loss 1.3739 (1.3475) Prec@1 68.750 (68.604) Prec@5 86.719 (87.078) Epoch: [82][3460/10010] Time 0.334 (0.327) Data 0.001 (0.001) Loss 1.5958 (1.3475) Prec@1 64.844 (68.606) Prec@5 85.938 (87.077) Epoch: [82][3470/10010] Time 0.323 (0.327) Data 0.001 (0.001) Loss 1.3772 (1.3476) Prec@1 68.750 (68.605) Prec@5 84.375 (87.076) Epoch: [82][3480/10010] Time 0.315 (0.327) Data 0.001 (0.001) Loss 1.3934 (1.3480) Prec@1 69.531 (68.598) Prec@5 84.375 (87.068) Epoch: [82][3490/10010] Time 0.334 (0.326) Data 0.001 (0.001) Loss 1.3257 (1.3478) Prec@1 67.969 (68.603) Prec@5 87.500 (87.071) /data/vision/torralba/deepscene/lib/anaconda2/lib/python2.7/site-packages/PIL/TiffImagePlugin.py:692: UserWarning: Possibly corrupt EXIF data. Expecting to read 2555904 bytes but only got 0. Skipping tag 0 "Skipping tag %s" % (size, len(data), tag)) Epoch: [82][3500/10010] Time 0.323 (0.326) Data 0.000 (0.001) Loss 1.1215 (1.3476) Prec@1 74.219 (68.608) Prec@5 87.500 (87.074) Epoch: [82][3510/10010] Time 0.318 (0.326) Data 0.001 (0.001) Loss 1.3821 (1.3475) Prec@1 64.844 (68.607) Prec@5 82.812 (87.073) Epoch: [82][3520/10010] Time 0.324 (0.326) Data 0.001 (0.001) Loss 1.0439 (1.3474) Prec@1 77.344 (68.608) Prec@5 92.188 (87.073) Epoch: [82][3530/10010] Time 0.311 (0.326) Data 0.001 (0.001) Loss 1.1316 (1.3476) Prec@1 70.312 (68.606) Prec@5 90.625 (87.071) Epoch: [82][3540/10010] Time 0.321 (0.326) Data 0.001 (0.001) Loss 1.2985 (1.3477) Prec@1 67.188 (68.606) Prec@5 90.625 (87.073) Epoch: [82][3550/10010] Time 0.329 (0.326) Data 0.001 (0.001) Loss 1.3127 (1.3476) Prec@1 65.625 (68.607) Prec@5 87.500 (87.074) Epoch: [82][3560/10010] Time 0.337 (0.326) Data 0.001 (0.001) Loss 1.4729 (1.3476) Prec@1 69.531 (68.602) Prec@5 84.375 (87.075) Epoch: [82][3570/10010] Time 0.316 (0.326) Data 0.000 (0.001) Loss 0.8900 (1.3474) Prec@1 79.688 (68.603) Prec@5 93.750 (87.079) Epoch: [82][3580/10010] Time 0.322 (0.326) Data 0.001 (0.001) Loss 1.7126 (1.3474) Prec@1 68.750 (68.602) Prec@5 81.250 (87.080) Epoch: [82][3590/10010] Time 0.316 (0.326) Data 0.001 (0.001) Loss 1.2950 (1.3473) Prec@1 68.750 (68.602) Prec@5 89.062 (87.080) Epoch: [82][3600/10010] Time 0.343 (0.326) Data 0.001 (0.001) Loss 1.1010 (1.3472) Prec@1 71.094 (68.603) Prec@5 89.844 (87.082) Epoch: [82][3610/10010] Time 0.320 (0.326) Data 0.001 (0.001) Loss 1.3868 (1.3469) Prec@1 67.188 (68.605) Prec@5 88.281 (87.087) Epoch: [82][3620/10010] Time 0.324 (0.326) Data 0.001 (0.001) Loss 1.5005 (1.3469) Prec@1 67.188 (68.607) Prec@5 86.719 (87.089) Epoch: [82][3630/10010] Time 0.341 (0.326) Data 0.000 (0.001) Loss 1.4676 (1.3469) Prec@1 66.406 (68.606) Prec@5 82.031 (87.087) Epoch: [82][3640/10010] Time 0.321 (0.326) Data 0.001 (0.001) Loss 1.2423 (1.3468) Prec@1 64.062 (68.609) Prec@5 88.281 (87.090) Epoch: [82][3650/10010] Time 0.333 (0.326) Data 0.001 (0.001) Loss 1.1775 (1.3469) Prec@1 70.312 (68.606) Prec@5 90.625 (87.085) Epoch: [82][3660/10010] Time 0.337 (0.326) Data 0.000 (0.001) Loss 1.2019 (1.3471) Prec@1 67.969 (68.607) Prec@5 90.625 (87.083) Epoch: [82][3670/10010] Time 0.322 (0.326) Data 0.001 (0.001) Loss 1.3278 (1.3472) Prec@1 71.094 (68.607) Prec@5 85.938 (87.081) Epoch: [82][3680/10010] Time 0.315 (0.326) Data 0.001 (0.001) Loss 1.2047 (1.3472) Prec@1 70.312 (68.606) Prec@5 89.062 (87.081) Epoch: [82][3690/10010] Time 0.318 (0.326) Data 0.001 (0.001) Loss 1.6368 (1.3474) Prec@1 59.375 (68.600) Prec@5 85.156 (87.080) Epoch: [82][3700/10010] Time 0.322 (0.326) Data 0.000 (0.001) Loss 1.5274 (1.3473) Prec@1 63.281 (68.603) Prec@5 85.156 (87.081) Epoch: [82][3710/10010] Time 0.323 (0.326) Data 0.001 (0.001) Loss 1.2097 (1.3471) Prec@1 71.094 (68.605) Prec@5 85.938 (87.082) Epoch: [82][3720/10010] Time 0.340 (0.326) Data 0.001 (0.001) Loss 1.2110 (1.3471) Prec@1 71.875 (68.602) Prec@5 87.500 (87.079) Epoch: [82][3730/10010] Time 0.334 (0.326) Data 0.001 (0.001) Loss 1.4308 (1.3474) Prec@1 64.844 (68.599) Prec@5 87.500 (87.076) Epoch: [82][3740/10010] Time 0.317 (0.326) Data 0.004 (0.001) Loss 1.4747 (1.3476) Prec@1 70.312 (68.591) Prec@5 86.719 (87.074) Epoch: [82][3750/10010] Time 0.340 (0.326) Data 0.001 (0.001) Loss 1.4180 (1.3476) Prec@1 65.625 (68.588) Prec@5 85.938 (87.076) Epoch: [82][3760/10010] Time 0.331 (0.326) Data 0.001 (0.001) Loss 1.3948 (1.3479) Prec@1 71.094 (68.588) Prec@5 88.281 (87.071) Epoch: [82][3770/10010] Time 0.324 (0.326) Data 0.001 (0.001) Loss 1.0910 (1.3479) Prec@1 71.875 (68.585) Prec@5 92.188 (87.070) Epoch: [82][3780/10010] Time 0.338 (0.326) Data 0.001 (0.001) Loss 1.3355 (1.3480) Prec@1 64.062 (68.580) Prec@5 87.500 (87.065) Epoch: [82][3790/10010] Time 0.319 (0.326) Data 0.001 (0.001) Loss 1.2418 (1.3480) Prec@1 70.312 (68.581) Prec@5 89.062 (87.067) Epoch: [82][3800/10010] Time 0.337 (0.326) Data 0.001 (0.001) Loss 1.1149 (1.3480) Prec@1 71.875 (68.582) Prec@5 89.062 (87.068) Epoch: [82][3810/10010] Time 0.324 (0.326) Data 0.000 (0.001) Loss 1.4439 (1.3482) Prec@1 67.188 (68.579) Prec@5 87.500 (87.067) Epoch: [82][3820/10010] Time 0.342 (0.326) Data 0.000 (0.001) Loss 1.5332 (1.3480) Prec@1 60.156 (68.583) Prec@5 85.156 (87.069) Epoch: [82][3830/10010] Time 0.314 (0.326) Data 0.001 (0.001) Loss 1.3333 (1.3481) Prec@1 71.875 (68.586) Prec@5 82.812 (87.067) Epoch: [82][3840/10010] Time 0.317 (0.326) Data 0.001 (0.001) Loss 1.4287 (1.3482) Prec@1 68.750 (68.584) Prec@5 85.938 (87.064) Epoch: [82][3850/10010] Time 0.322 (0.326) Data 0.001 (0.001) Loss 1.3127 (1.3482) Prec@1 68.750 (68.584) Prec@5 86.719 (87.061) Epoch: [82][3860/10010] Time 0.313 (0.326) Data 0.001 (0.001) Loss 1.5037 (1.3483) Prec@1 68.750 (68.588) Prec@5 84.375 (87.058) Epoch: [82][3870/10010] Time 0.336 (0.326) Data 0.001 (0.001) Loss 1.5606 (1.3480) Prec@1 67.969 (68.594) Prec@5 86.719 (87.063) Epoch: [82][3880/10010] Time 0.340 (0.326) Data 0.001 (0.001) Loss 1.4530 (1.3479) Prec@1 64.062 (68.594) Prec@5 84.375 (87.061) Epoch: [82][3890/10010] Time 0.325 (0.326) Data 0.001 (0.001) Loss 1.2862 (1.3480) Prec@1 68.750 (68.593) Prec@5 87.500 (87.060) Epoch: [82][3900/10010] Time 0.342 (0.326) Data 0.000 (0.001) Loss 1.4949 (1.3480) Prec@1 67.969 (68.592) Prec@5 86.719 (87.058) Epoch: [82][3910/10010] Time 0.324 (0.326) Data 0.001 (0.001) Loss 1.4608 (1.3481) Prec@1 68.750 (68.591) Prec@5 86.719 (87.058) Epoch: [82][3920/10010] Time 0.341 (0.326) Data 0.001 (0.001) Loss 1.2695 (1.3482) Prec@1 67.969 (68.591) Prec@5 85.938 (87.053) Epoch: [82][3930/10010] Time 0.343 (0.326) Data 0.000 (0.001) Loss 1.6142 (1.3485) Prec@1 63.281 (68.588) Prec@5 83.594 (87.049) Epoch: [82][3940/10010] Time 0.319 (0.327) Data 0.001 (0.001) Loss 1.2708 (1.3484) Prec@1 68.750 (68.586) Prec@5 87.500 (87.048) Epoch: [82][3950/10010] Time 0.330 (0.327) Data 0.001 (0.001) Loss 1.3544 (1.3482) Prec@1 64.062 (68.590) Prec@5 87.500 (87.050) Epoch: [82][3960/10010] Time 0.318 (0.327) Data 0.001 (0.001) Loss 1.6688 (1.3483) Prec@1 63.281 (68.587) Prec@5 83.594 (87.049) Epoch: [82][3970/10010] Time 0.333 (0.326) Data 0.001 (0.001) Loss 1.4861 (1.3480) Prec@1 64.062 (68.590) Prec@5 87.500 (87.052) Epoch: [82][3980/10010] Time 0.336 (0.326) Data 0.000 (0.001) Loss 1.5030 (1.3481) Prec@1 64.844 (68.589) Prec@5 85.938 (87.054) Epoch: [82][3990/10010] Time 0.340 (0.326) Data 0.000 (0.001) Loss 1.6627 (1.3481) Prec@1 59.375 (68.589) Prec@5 82.812 (87.053) Epoch: [82][4000/10010] Time 0.330 (0.327) Data 0.001 (0.001) Loss 1.1877 (1.3481) Prec@1 69.531 (68.590) Prec@5 88.281 (87.054) Epoch: [82][4010/10010] Time 0.332 (0.327) Data 0.001 (0.001) Loss 1.4232 (1.3478) Prec@1 67.188 (68.596) Prec@5 82.812 (87.058) Epoch: [82][4020/10010] Time 0.332 (0.327) Data 0.001 (0.001) Loss 1.5460 (1.3480) Prec@1 66.406 (68.590) Prec@5 83.594 (87.054) Epoch: [82][4030/10010] Time 0.321 (0.327) Data 0.001 (0.001) Loss 1.5345 (1.3483) Prec@1 63.281 (68.582) Prec@5 85.156 (87.050) Epoch: [82][4040/10010] Time 0.343 (0.327) Data 0.001 (0.001) Loss 1.2885 (1.3481) Prec@1 71.094 (68.582) Prec@5 86.719 (87.051) Epoch: [82][4050/10010] Time 0.340 (0.327) Data 0.001 (0.001) Loss 1.2734 (1.3484) Prec@1 70.312 (68.575) Prec@5 87.500 (87.049) Epoch: [82][4060/10010] Time 0.324 (0.327) Data 0.001 (0.001) Loss 1.3836 (1.3484) Prec@1 68.750 (68.574) Prec@5 88.281 (87.048) Epoch: [82][4070/10010] Time 0.332 (0.327) Data 0.001 (0.001) Loss 1.2180 (1.3484) Prec@1 71.094 (68.577) Prec@5 85.938 (87.047) Epoch: [82][4080/10010] Time 0.333 (0.327) Data 0.001 (0.001) Loss 1.4351 (1.3485) Prec@1 67.188 (68.573) Prec@5 87.500 (87.045) Epoch: [82][4090/10010] Time 0.323 (0.327) Data 0.001 (0.001) Loss 1.1449 (1.3485) Prec@1 75.000 (68.573) Prec@5 90.625 (87.046) Epoch: [82][4100/10010] Time 0.342 (0.327) Data 0.001 (0.001) Loss 1.3558 (1.3485) Prec@1 67.188 (68.570) Prec@5 88.281 (87.047) Epoch: [82][4110/10010] Time 0.317 (0.327) Data 0.001 (0.001) Loss 1.3448 (1.3483) Prec@1 69.531 (68.573) Prec@5 88.281 (87.049) Epoch: [82][4120/10010] Time 0.333 (0.327) Data 0.001 (0.001) Loss 1.4091 (1.3483) Prec@1 65.625 (68.575) Prec@5 86.719 (87.048) Epoch: [82][4130/10010] Time 0.331 (0.327) Data 0.001 (0.001) Loss 1.1065 (1.3482) Prec@1 76.562 (68.577) Prec@5 89.844 (87.050) Epoch: [82][4140/10010] Time 0.318 (0.327) Data 0.001 (0.001) Loss 1.3094 (1.3481) Prec@1 71.094 (68.580) Prec@5 86.719 (87.052) Epoch: [82][4150/10010] Time 0.329 (0.327) Data 0.001 (0.001) Loss 1.0733 (1.3480) Prec@1 70.312 (68.583) Prec@5 92.188 (87.052) Epoch: [82][4160/10010] Time 0.331 (0.327) Data 0.001 (0.001) Loss 1.2332 (1.3481) Prec@1 70.312 (68.582) Prec@5 88.281 (87.051) Epoch: [82][4170/10010] Time 0.337 (0.327) Data 0.000 (0.001) Loss 1.3505 (1.3480) Prec@1 68.750 (68.586) Prec@5 85.156 (87.053) Epoch: [82][4180/10010] Time 0.331 (0.327) Data 0.001 (0.001) Loss 1.2293 (1.3479) Prec@1 70.312 (68.590) Prec@5 86.719 (87.053) Epoch: [82][4190/10010] Time 0.326 (0.327) Data 0.000 (0.001) Loss 0.9836 (1.3477) Prec@1 75.000 (68.593) Prec@5 89.062 (87.055) Epoch: [82][4200/10010] Time 0.345 (0.327) Data 0.000 (0.001) Loss 1.3372 (1.3478) Prec@1 68.750 (68.594) Prec@5 88.281 (87.055) Epoch: [82][4210/10010] Time 0.339 (0.327) Data 0.001 (0.001) Loss 1.2033 (1.3478) Prec@1 67.188 (68.598) Prec@5 88.281 (87.054) Epoch: [82][4220/10010] Time 0.333 (0.327) Data 0.001 (0.001) Loss 1.2519 (1.3477) Prec@1 70.312 (68.601) Prec@5 89.844 (87.055) Epoch: [82][4230/10010] Time 0.316 (0.327) Data 0.001 (0.001) Loss 1.6364 (1.3478) Prec@1 60.156 (68.598) Prec@5 82.812 (87.053) Epoch: [82][4240/10010] Time 0.327 (0.327) Data 0.001 (0.001) Loss 1.2431 (1.3477) Prec@1 68.750 (68.599) Prec@5 89.844 (87.054) Epoch: [82][4250/10010] Time 0.326 (0.327) Data 0.001 (0.001) Loss 1.3493 (1.3475) Prec@1 71.094 (68.606) Prec@5 86.719 (87.057) Epoch: [82][4260/10010] Time 0.315 (0.327) Data 0.001 (0.001) Loss 1.4266 (1.3475) Prec@1 68.750 (68.606) Prec@5 84.375 (87.058) Epoch: [82][4270/10010] Time 0.322 (0.327) Data 0.001 (0.001) Loss 1.1059 (1.3474) Prec@1 71.875 (68.606) Prec@5 89.062 (87.061) Epoch: [82][4280/10010] Time 0.317 (0.327) Data 0.000 (0.001) Loss 1.1026 (1.3475) Prec@1 75.781 (68.609) Prec@5 91.406 (87.059) Epoch: [82][4290/10010] Time 0.318 (0.327) Data 0.001 (0.001) Loss 1.3744 (1.3475) Prec@1 71.094 (68.609) Prec@5 87.500 (87.058) Epoch: [82][4300/10010] Time 0.340 (0.327) Data 0.000 (0.001) Loss 1.6666 (1.3476) Prec@1 64.844 (68.611) Prec@5 82.031 (87.058) Epoch: [82][4310/10010] Time 0.338 (0.327) Data 0.000 (0.001) Loss 1.5744 (1.3475) Prec@1 62.500 (68.612) Prec@5 84.375 (87.060) Epoch: [82][4320/10010] Time 0.321 (0.327) Data 0.001 (0.001) Loss 1.3339 (1.3474) Prec@1 67.969 (68.612) Prec@5 88.281 (87.058) Epoch: [82][4330/10010] Time 0.315 (0.327) Data 0.000 (0.001) Loss 1.1799 (1.3472) Prec@1 71.875 (68.617) Prec@5 90.625 (87.062) Epoch: [82][4340/10010] Time 0.312 (0.327) Data 0.001 (0.001) Loss 1.3756 (1.3471) Prec@1 68.750 (68.620) Prec@5 84.375 (87.061) Epoch: [82][4350/10010] Time 0.335 (0.327) Data 0.001 (0.001) Loss 1.4005 (1.3469) Prec@1 64.844 (68.623) Prec@5 85.156 (87.063) Epoch: [82][4360/10010] Time 0.333 (0.327) Data 0.001 (0.001) Loss 1.2244 (1.3470) Prec@1 74.219 (68.618) Prec@5 89.062 (87.063) Epoch: [82][4370/10010] Time 0.319 (0.327) Data 0.001 (0.001) Loss 1.5718 (1.3471) Prec@1 64.062 (68.618) Prec@5 83.594 (87.062) Epoch: [82][4380/10010] Time 0.327 (0.327) Data 0.001 (0.001) Loss 1.1526 (1.3472) Prec@1 71.875 (68.616) Prec@5 91.406 (87.063) Epoch: [82][4390/10010] Time 0.318 (0.327) Data 0.001 (0.001) Loss 0.8801 (1.3474) Prec@1 81.250 (68.613) Prec@5 93.750 (87.062) Epoch: [82][4400/10010] Time 0.312 (0.327) Data 0.001 (0.001) Loss 1.5942 (1.3474) Prec@1 62.500 (68.612) Prec@5 86.719 (87.064) Epoch: [82][4410/10010] Time 0.321 (0.327) Data 0.001 (0.001) Loss 1.1650 (1.3474) Prec@1 75.781 (68.611) Prec@5 90.625 (87.063) Epoch: [82][4420/10010] Time 0.336 (0.327) Data 0.001 (0.001) Loss 1.3238 (1.3475) Prec@1 72.656 (68.611) Prec@5 83.594 (87.062) Epoch: [82][4430/10010] Time 0.318 (0.327) Data 0.001 (0.001) Loss 1.2638 (1.3475) Prec@1 69.531 (68.612) Prec@5 87.500 (87.060) Epoch: [82][4440/10010] Time 0.314 (0.327) Data 0.001 (0.001) Loss 1.1919 (1.3474) Prec@1 69.531 (68.615) Prec@5 91.406 (87.062) Epoch: [82][4450/10010] Time 0.318 (0.327) Data 0.001 (0.001) Loss 1.2234 (1.3473) Prec@1 71.875 (68.618) Prec@5 87.500 (87.063) Epoch: [82][4460/10010] Time 0.324 (0.327) Data 0.001 (0.001) Loss 1.2760 (1.3474) Prec@1 70.312 (68.620) Prec@5 84.375 (87.063) Epoch: [82][4470/10010] Time 0.313 (0.327) Data 0.001 (0.001) Loss 1.5216 (1.3474) Prec@1 65.625 (68.619) Prec@5 85.156 (87.063) Epoch: [82][4480/10010] Time 0.317 (0.327) Data 0.000 (0.001) Loss 1.3150 (1.3473) Prec@1 73.438 (68.624) Prec@5 89.062 (87.064) Epoch: [82][4490/10010] Time 0.316 (0.327) Data 0.001 (0.001) Loss 1.2642 (1.3472) Prec@1 68.750 (68.624) Prec@5 87.500 (87.065) Epoch: [82][4500/10010] Time 0.328 (0.327) Data 0.001 (0.001) Loss 1.2842 (1.3474) Prec@1 71.094 (68.621) Prec@5 85.938 (87.062) Epoch: [82][4510/10010] Time 0.320 (0.327) Data 0.001 (0.001) Loss 1.1870 (1.3472) Prec@1 71.094 (68.625) Prec@5 89.062 (87.067) Epoch: [82][4520/10010] Time 0.318 (0.327) Data 0.001 (0.001) Loss 1.4568 (1.3472) Prec@1 67.969 (68.625) Prec@5 89.062 (87.069) Epoch: [82][4530/10010] Time 0.326 (0.327) Data 0.001 (0.001) Loss 1.3992 (1.3471) Prec@1 70.312 (68.630) Prec@5 88.281 (87.070) Epoch: [82][4540/10010] Time 0.319 (0.327) Data 0.001 (0.001) Loss 1.5431 (1.3472) Prec@1 66.406 (68.629) Prec@5 85.156 (87.067) Epoch: [82][4550/10010] Time 0.324 (0.327) Data 0.001 (0.001) Loss 1.2812 (1.3475) Prec@1 67.969 (68.623) Prec@5 89.062 (87.064) Epoch: [82][4560/10010] Time 0.319 (0.327) Data 0.001 (0.001) Loss 1.1640 (1.3472) Prec@1 73.438 (68.631) Prec@5 92.188 (87.068) Epoch: [82][4570/10010] Time 0.326 (0.327) Data 0.001 (0.001) Loss 1.1204 (1.3470) Prec@1 69.531 (68.632) Prec@5 89.844 (87.071) Epoch: [82][4580/10010] Time 0.329 (0.327) Data 0.001 (0.001) Loss 1.3432 (1.3470) Prec@1 70.312 (68.634) Prec@5 88.281 (87.071) Epoch: [82][4590/10010] Time 0.322 (0.327) Data 0.000 (0.001) Loss 1.2759 (1.3471) Prec@1 69.531 (68.632) Prec@5 86.719 (87.069) Epoch: [82][4600/10010] Time 0.322 (0.327) Data 0.001 (0.001) Loss 1.2623 (1.3472) Prec@1 64.062 (68.630) Prec@5 90.625 (87.069) Epoch: [82][4610/10010] Time 0.316 (0.327) Data 0.001 (0.001) Loss 1.5083 (1.3472) Prec@1 66.406 (68.630) Prec@5 82.031 (87.068) Epoch: [82][4620/10010] Time 0.326 (0.326) Data 0.001 (0.001) Loss 1.3456 (1.3471) Prec@1 67.969 (68.632) Prec@5 89.062 (87.069) Epoch: [82][4630/10010] Time 0.316 (0.326) Data 0.001 (0.001) Loss 1.3087 (1.3472) Prec@1 70.312 (68.628) Prec@5 86.719 (87.066) Epoch: [82][4640/10010] Time 0.330 (0.326) Data 0.000 (0.001) Loss 1.5857 (1.3472) Prec@1 67.188 (68.629) Prec@5 83.594 (87.065) Epoch: [82][4650/10010] Time 0.325 (0.326) Data 0.000 (0.001) Loss 1.4909 (1.3473) Prec@1 64.844 (68.626) Prec@5 83.594 (87.063) Epoch: [82][4660/10010] Time 0.339 (0.326) Data 0.000 (0.001) Loss 1.1596 (1.3471) Prec@1 71.094 (68.630) Prec@5 88.281 (87.063) Epoch: [82][4670/10010] Time 0.331 (0.326) Data 0.001 (0.001) Loss 1.1557 (1.3472) Prec@1 71.875 (68.627) Prec@5 89.844 (87.061) Epoch: [82][4680/10010] Time 0.331 (0.326) Data 0.000 (0.001) Loss 1.3111 (1.3472) Prec@1 69.531 (68.627) Prec@5 85.938 (87.060) Epoch: [82][4690/10010] Time 0.323 (0.326) Data 0.000 (0.001) Loss 1.2713 (1.3473) Prec@1 67.969 (68.626) Prec@5 90.625 (87.059) Epoch: [82][4700/10010] Time 0.315 (0.326) Data 0.001 (0.001) Loss 1.1721 (1.3470) Prec@1 69.531 (68.631) Prec@5 92.188 (87.063) Epoch: [82][4710/10010] Time 0.321 (0.326) Data 0.001 (0.001) Loss 1.2710 (1.3469) Prec@1 74.219 (68.634) Prec@5 85.938 (87.064) Epoch: [82][4720/10010] Time 0.316 (0.326) Data 0.001 (0.001) Loss 1.1574 (1.3468) Prec@1 74.219 (68.639) Prec@5 89.844 (87.067) Epoch: [82][4730/10010] Time 0.321 (0.326) Data 0.000 (0.001) Loss 1.4122 (1.3468) Prec@1 63.281 (68.640) Prec@5 86.719 (87.068) Epoch: [82][4740/10010] Time 0.319 (0.326) Data 0.001 (0.001) Loss 1.0546 (1.3469) Prec@1 74.219 (68.636) Prec@5 92.969 (87.067) Epoch: [82][4750/10010] Time 0.329 (0.326) Data 0.001 (0.001) Loss 1.1322 (1.3468) Prec@1 74.219 (68.637) Prec@5 89.844 (87.069) Epoch: [82][4760/10010] Time 0.334 (0.326) Data 0.001 (0.001) Loss 1.5830 (1.3470) Prec@1 61.719 (68.636) Prec@5 82.812 (87.068) Epoch: [82][4770/10010] Time 0.333 (0.326) Data 0.001 (0.001) Loss 0.9950 (1.3469) Prec@1 78.125 (68.639) Prec@5 92.969 (87.070) Epoch: [82][4780/10010] Time 0.320 (0.326) Data 0.001 (0.001) Loss 1.5270 (1.3468) Prec@1 70.312 (68.643) Prec@5 84.375 (87.073) Epoch: [82][4790/10010] Time 0.323 (0.326) Data 0.001 (0.001) Loss 1.3247 (1.3470) Prec@1 70.312 (68.638) Prec@5 84.375 (87.069) Epoch: [82][4800/10010] Time 0.322 (0.326) Data 0.000 (0.001) Loss 1.1086 (1.3472) Prec@1 78.906 (68.637) Prec@5 92.188 (87.069) Epoch: [82][4810/10010] Time 0.336 (0.326) Data 0.001 (0.001) Loss 1.3800 (1.3472) Prec@1 66.406 (68.635) Prec@5 87.500 (87.066) Epoch: [82][4820/10010] Time 0.333 (0.326) Data 0.001 (0.001) Loss 1.3493 (1.3471) Prec@1 68.750 (68.636) Prec@5 87.500 (87.069) /data/vision/torralba/deepscene/lib/anaconda2/lib/python2.7/site-packages/PIL/TiffImagePlugin.py:692: UserWarning: Possibly corrupt EXIF data. Expecting to read 19660800 bytes but only got 0. Skipping tag 0 "Skipping tag %s" % (size, len(data), tag)) /data/vision/torralba/deepscene/lib/anaconda2/lib/python2.7/site-packages/PIL/TiffImagePlugin.py:692: UserWarning: Possibly corrupt EXIF data. Expecting to read 18481152 bytes but only got 0. Skipping tag 0 "Skipping tag %s" % (size, len(data), tag)) /data/vision/torralba/deepscene/lib/anaconda2/lib/python2.7/site-packages/PIL/TiffImagePlugin.py:692: UserWarning: Possibly corrupt EXIF data. Expecting to read 37093376 bytes but only got 0. Skipping tag 0 "Skipping tag %s" % (size, len(data), tag)) /data/vision/torralba/deepscene/lib/anaconda2/lib/python2.7/site-packages/PIL/TiffImagePlugin.py:692: UserWarning: Possibly corrupt EXIF data. Expecting to read 39976960 bytes but only got 0. Skipping tag 0 "Skipping tag %s" % (size, len(data), tag)) /data/vision/torralba/deepscene/lib/anaconda2/lib/python2.7/site-packages/PIL/TiffImagePlugin.py:692: UserWarning: Possibly corrupt EXIF data. Expecting to read 34865152 bytes but only got 0. Skipping tag 0 "Skipping tag %s" % (size, len(data), tag)) /data/vision/torralba/deepscene/lib/anaconda2/lib/python2.7/site-packages/PIL/TiffImagePlugin.py:709: UserWarning: Corrupt EXIF data. Expecting to read 12 bytes but only got 10. warnings.warn(str(msg)) Epoch: [82][4830/10010] Time 0.317 (0.326) Data 0.001 (0.001) Loss 1.1745 (1.3471) Prec@1 75.000 (68.637) Prec@5 86.719 (87.070) Epoch: [82][4840/10010] Time 0.325 (0.326) Data 0.001 (0.001) Loss 1.3353 (1.3470) Prec@1 69.531 (68.638) Prec@5 85.938 (87.070) Epoch: [82][4850/10010] Time 0.333 (0.326) Data 0.000 (0.001) Loss 1.2110 (1.3470) Prec@1 74.219 (68.640) Prec@5 88.281 (87.069) Epoch: [82][4860/10010] Time 0.342 (0.326) Data 0.001 (0.001) Loss 1.1282 (1.3469) Prec@1 71.875 (68.642) Prec@5 93.750 (87.071) Epoch: [82][4870/10010] Time 0.325 (0.326) Data 0.000 (0.001) Loss 1.1816 (1.3469) Prec@1 68.750 (68.643) Prec@5 88.281 (87.072) Epoch: [82][4880/10010] Time 0.325 (0.326) Data 0.000 (0.001) Loss 1.5592 (1.3469) Prec@1 64.844 (68.644) Prec@5 86.719 (87.072) Epoch: [82][4890/10010] Time 0.333 (0.326) Data 0.001 (0.001) Loss 1.4225 (1.3468) Prec@1 67.188 (68.648) Prec@5 85.156 (87.075) Epoch: [82][4900/10010] Time 0.328 (0.326) Data 0.001 (0.001) Loss 1.4299 (1.3470) Prec@1 69.531 (68.644) Prec@5 87.500 (87.070) Epoch: [82][4910/10010] Time 0.329 (0.326) Data 0.001 (0.001) Loss 1.6419 (1.3470) Prec@1 61.719 (68.643) Prec@5 84.375 (87.070) Epoch: [82][4920/10010] Time 0.337 (0.326) Data 0.000 (0.001) Loss 1.1865 (1.3469) Prec@1 70.312 (68.643) Prec@5 92.969 (87.074) Epoch: [82][4930/10010] Time 0.317 (0.326) Data 0.001 (0.001) Loss 1.2389 (1.3469) Prec@1 69.531 (68.644) Prec@5 87.500 (87.073) Epoch: [82][4940/10010] Time 0.317 (0.326) Data 0.001 (0.001) Loss 1.4910 (1.3470) Prec@1 66.406 (68.643) Prec@5 85.938 (87.072) Epoch: [82][4950/10010] Time 0.341 (0.327) Data 0.001 (0.001) Loss 1.4765 (1.3471) Prec@1 67.188 (68.642) Prec@5 83.594 (87.071) Epoch: [82][4960/10010] Time 0.314 (0.327) Data 0.001 (0.001) Loss 1.3884 (1.3471) Prec@1 67.969 (68.640) Prec@5 82.812 (87.070) Epoch: [82][4970/10010] Time 0.341 (0.327) Data 0.000 (0.001) Loss 1.2545 (1.3470) Prec@1 75.781 (68.645) Prec@5 90.625 (87.073) Epoch: [82][4980/10010] Time 0.318 (0.327) Data 0.000 (0.001) Loss 1.2794 (1.3469) Prec@1 70.312 (68.648) Prec@5 83.594 (87.073) Epoch: [82][4990/10010] Time 0.310 (0.326) Data 0.001 (0.001) Loss 1.2286 (1.3469) Prec@1 74.219 (68.649) Prec@5 88.281 (87.071) Epoch: [82][5000/10010] Time 0.321 (0.326) Data 0.001 (0.001) Loss 1.1002 (1.3469) Prec@1 71.094 (68.649) Prec@5 91.406 (87.071) Epoch: [82][5010/10010] Time 0.319 (0.326) Data 0.001 (0.001) Loss 1.2833 (1.3471) Prec@1 72.656 (68.645) Prec@5 86.719 (87.067) Epoch: [82][5020/10010] Time 0.331 (0.327) Data 0.001 (0.001) Loss 1.2444 (1.3472) Prec@1 68.750 (68.641) Prec@5 91.406 (87.065) Epoch: [82][5030/10010] Time 0.321 (0.327) Data 0.001 (0.001) Loss 1.3115 (1.3474) Prec@1 74.219 (68.640) Prec@5 85.938 (87.064) Epoch: [82][5040/10010] Time 0.326 (0.327) Data 0.000 (0.001) Loss 1.1645 (1.3472) Prec@1 72.656 (68.645) Prec@5 92.188 (87.065) Epoch: [82][5050/10010] Time 0.310 (0.327) Data 0.001 (0.001) Loss 1.3821 (1.3472) Prec@1 67.188 (68.644) Prec@5 86.719 (87.065) Epoch: [82][5060/10010] Time 0.342 (0.327) Data 0.000 (0.001) Loss 1.0555 (1.3472) Prec@1 72.656 (68.642) Prec@5 92.188 (87.065) Epoch: [82][5070/10010] Time 0.309 (0.327) Data 0.001 (0.001) Loss 1.5073 (1.3472) Prec@1 67.188 (68.642) Prec@5 84.375 (87.063) Epoch: [82][5080/10010] Time 0.331 (0.327) Data 0.001 (0.001) Loss 1.1868 (1.3472) Prec@1 72.656 (68.641) Prec@5 89.062 (87.064) Epoch: [82][5090/10010] Time 0.338 (0.327) Data 0.001 (0.001) Loss 1.5344 (1.3472) Prec@1 63.281 (68.640) Prec@5 81.250 (87.063) Epoch: [82][5100/10010] Time 0.321 (0.327) Data 0.000 (0.001) Loss 1.1802 (1.3472) Prec@1 73.438 (68.639) Prec@5 91.406 (87.065) Epoch: [82][5110/10010] Time 0.332 (0.327) Data 0.001 (0.001) Loss 1.4644 (1.3473) Prec@1 67.188 (68.640) Prec@5 87.500 (87.062) Epoch: [82][5120/10010] Time 0.314 (0.327) Data 0.001 (0.001) Loss 1.6909 (1.3474) Prec@1 64.062 (68.639) Prec@5 84.375 (87.060) Epoch: [82][5130/10010] Time 0.327 (0.327) Data 0.001 (0.001) Loss 1.4292 (1.3476) Prec@1 65.625 (68.634) Prec@5 86.719 (87.059) Epoch: [82][5140/10010] Time 0.325 (0.327) Data 0.001 (0.001) Loss 1.3638 (1.3476) Prec@1 69.531 (68.633) Prec@5 89.844 (87.060) Epoch: [82][5150/10010] Time 0.313 (0.327) Data 0.001 (0.001) Loss 1.4921 (1.3476) Prec@1 67.969 (68.632) Prec@5 84.375 (87.061) Epoch: [82][5160/10010] Time 0.331 (0.327) Data 0.001 (0.001) Loss 1.3887 (1.3476) Prec@1 71.094 (68.629) Prec@5 83.594 (87.060) Epoch: [82][5170/10010] Time 0.314 (0.327) Data 0.001 (0.001) Loss 1.5850 (1.3477) Prec@1 64.062 (68.627) Prec@5 85.938 (87.061) Epoch: [82][5180/10010] Time 0.340 (0.327) Data 0.000 (0.001) Loss 1.1137 (1.3476) Prec@1 70.312 (68.628) Prec@5 90.625 (87.062) Epoch: [82][5190/10010] Time 0.339 (0.327) Data 0.001 (0.001) Loss 1.1371 (1.3478) Prec@1 70.312 (68.625) Prec@5 89.062 (87.061) Epoch: [82][5200/10010] Time 0.318 (0.327) Data 0.001 (0.001) Loss 1.4244 (1.3479) Prec@1 66.406 (68.623) Prec@5 85.938 (87.060) Epoch: [82][5210/10010] Time 0.313 (0.327) Data 0.000 (0.001) Loss 1.2097 (1.3480) Prec@1 69.531 (68.621) Prec@5 89.062 (87.057) Epoch: [82][5220/10010] Time 0.332 (0.327) Data 0.001 (0.001) Loss 1.4361 (1.3480) Prec@1 67.969 (68.620) Prec@5 84.375 (87.055) Epoch: [82][5230/10010] Time 0.323 (0.327) Data 0.001 (0.001) Loss 1.2666 (1.3482) Prec@1 69.531 (68.617) Prec@5 88.281 (87.053) Epoch: [82][5240/10010] Time 0.341 (0.327) Data 0.000 (0.001) Loss 1.1497 (1.3483) Prec@1 71.875 (68.613) Prec@5 89.062 (87.051) Epoch: [82][5250/10010] Time 0.318 (0.327) Data 0.001 (0.001) Loss 1.2405 (1.3482) Prec@1 76.562 (68.618) Prec@5 86.719 (87.053) Epoch: [82][5260/10010] Time 0.336 (0.327) Data 0.000 (0.001) Loss 1.4922 (1.3482) Prec@1 63.281 (68.616) Prec@5 84.375 (87.051) Epoch: [82][5270/10010] Time 0.324 (0.327) Data 0.000 (0.001) Loss 1.4852 (1.3484) Prec@1 67.969 (68.613) Prec@5 85.156 (87.052) Epoch: [82][5280/10010] Time 0.342 (0.327) Data 0.001 (0.001) Loss 1.5334 (1.3484) Prec@1 67.188 (68.614) Prec@5 82.812 (87.054) Epoch: [82][5290/10010] Time 0.328 (0.327) Data 0.001 (0.001) Loss 1.4197 (1.3484) Prec@1 69.531 (68.614) Prec@5 85.938 (87.054) Epoch: [82][5300/10010] Time 0.338 (0.327) Data 0.000 (0.001) Loss 1.4430 (1.3485) Prec@1 71.094 (68.613) Prec@5 85.156 (87.052) Epoch: [82][5310/10010] Time 0.330 (0.327) Data 0.001 (0.001) Loss 1.2450 (1.3486) Prec@1 69.531 (68.610) Prec@5 91.406 (87.051) Epoch: [82][5320/10010] Time 0.318 (0.327) Data 0.000 (0.001) Loss 1.4534 (1.3488) Prec@1 62.500 (68.605) Prec@5 86.719 (87.048) Epoch: [82][5330/10010] Time 0.337 (0.327) Data 0.001 (0.001) Loss 1.3400 (1.3487) Prec@1 69.531 (68.605) Prec@5 85.938 (87.048) Epoch: [82][5340/10010] Time 0.335 (0.327) Data 0.001 (0.001) Loss 1.4865 (1.3489) Prec@1 67.188 (68.601) Prec@5 85.938 (87.046) Epoch: [82][5350/10010] Time 0.339 (0.327) Data 0.000 (0.001) Loss 1.3087 (1.3490) Prec@1 64.844 (68.597) Prec@5 85.156 (87.046) Epoch: [82][5360/10010] Time 0.314 (0.327) Data 0.001 (0.001) Loss 1.4229 (1.3490) Prec@1 67.188 (68.596) Prec@5 84.375 (87.046) Epoch: [82][5370/10010] Time 0.336 (0.327) Data 0.001 (0.001) Loss 1.4997 (1.3491) Prec@1 66.406 (68.594) Prec@5 85.156 (87.045) Epoch: [82][5380/10010] Time 0.327 (0.327) Data 0.001 (0.001) Loss 1.3291 (1.3490) Prec@1 67.969 (68.594) Prec@5 92.969 (87.045) Epoch: [82][5390/10010] Time 0.326 (0.327) Data 0.001 (0.001) Loss 1.3019 (1.3490) Prec@1 73.438 (68.597) Prec@5 87.500 (87.047) Epoch: [82][5400/10010] Time 0.320 (0.327) Data 0.001 (0.001) Loss 1.1709 (1.3489) Prec@1 72.656 (68.601) Prec@5 91.406 (87.049) Epoch: [82][5410/10010] Time 0.312 (0.327) Data 0.001 (0.001) Loss 1.1714 (1.3488) Prec@1 70.312 (68.603) Prec@5 89.062 (87.050) Epoch: [82][5420/10010] Time 0.321 (0.327) Data 0.001 (0.001) Loss 1.4263 (1.3488) Prec@1 64.844 (68.603) Prec@5 86.719 (87.049) Epoch: [82][5430/10010] Time 0.329 (0.327) Data 0.001 (0.001) Loss 1.4166 (1.3489) Prec@1 66.406 (68.601) Prec@5 85.938 (87.047) Epoch: [82][5440/10010] Time 0.323 (0.327) Data 0.001 (0.001) Loss 1.5851 (1.3489) Prec@1 63.281 (68.602) Prec@5 84.375 (87.049) Epoch: [82][5450/10010] Time 0.328 (0.327) Data 0.000 (0.001) Loss 1.2526 (1.3489) Prec@1 67.969 (68.601) Prec@5 89.062 (87.049) Epoch: [82][5460/10010] Time 0.328 (0.327) Data 0.000 (0.001) Loss 1.0678 (1.3489) Prec@1 77.344 (68.602) Prec@5 89.844 (87.048) Epoch: [82][5470/10010] Time 0.314 (0.327) Data 0.001 (0.001) Loss 1.4634 (1.3490) Prec@1 69.531 (68.602) Prec@5 85.156 (87.045) Epoch: [82][5480/10010] Time 0.329 (0.327) Data 0.000 (0.001) Loss 1.0496 (1.3488) Prec@1 76.562 (68.608) Prec@5 91.406 (87.049) Epoch: [82][5490/10010] Time 0.332 (0.327) Data 0.001 (0.001) Loss 1.5619 (1.3489) Prec@1 67.969 (68.606) Prec@5 83.594 (87.047) Epoch: [82][5500/10010] Time 0.328 (0.327) Data 0.001 (0.001) Loss 1.4784 (1.3489) Prec@1 64.062 (68.606) Prec@5 85.938 (87.046) Epoch: [82][5510/10010] Time 0.317 (0.327) Data 0.001 (0.001) Loss 1.3361 (1.3489) Prec@1 71.875 (68.607) Prec@5 85.938 (87.046) Epoch: [82][5520/10010] Time 0.328 (0.327) Data 0.001 (0.001) Loss 1.1814 (1.3488) Prec@1 69.531 (68.607) Prec@5 90.625 (87.047) Epoch: [82][5530/10010] Time 0.329 (0.327) Data 0.001 (0.001) Loss 1.6349 (1.3491) Prec@1 66.406 (68.606) Prec@5 84.375 (87.044) Epoch: [82][5540/10010] Time 0.333 (0.327) Data 0.001 (0.001) Loss 1.6838 (1.3494) Prec@1 58.594 (68.600) Prec@5 82.031 (87.039) Epoch: [82][5550/10010] Time 0.338 (0.327) Data 0.001 (0.001) Loss 1.2457 (1.3494) Prec@1 70.312 (68.597) Prec@5 89.062 (87.040) Epoch: [82][5560/10010] Time 0.334 (0.327) Data 0.000 (0.001) Loss 1.2634 (1.3494) Prec@1 71.094 (68.599) Prec@5 83.594 (87.038) Epoch: [82][5570/10010] Time 0.331 (0.327) Data 0.001 (0.001) Loss 1.5221 (1.3494) Prec@1 65.625 (68.601) Prec@5 83.594 (87.038) Epoch: [82][5580/10010] Time 0.332 (0.327) Data 0.000 (0.001) Loss 1.4119 (1.3495) Prec@1 64.062 (68.603) Prec@5 85.938 (87.038) Epoch: [82][5590/10010] Time 0.318 (0.327) Data 0.000 (0.001) Loss 1.1636 (1.3494) Prec@1 71.094 (68.605) Prec@5 89.062 (87.040) Epoch: [82][5600/10010] Time 0.320 (0.327) Data 0.001 (0.001) Loss 1.2463 (1.3491) Prec@1 75.000 (68.610) Prec@5 87.500 (87.043) Epoch: [82][5610/10010] Time 0.340 (0.327) Data 0.000 (0.001) Loss 1.3751 (1.3491) Prec@1 72.656 (68.612) Prec@5 85.938 (87.045) Epoch: [82][5620/10010] Time 0.331 (0.327) Data 0.001 (0.001) Loss 1.3602 (1.3491) Prec@1 65.625 (68.610) Prec@5 87.500 (87.044) Epoch: [82][5630/10010] Time 0.339 (0.327) Data 0.000 (0.001) Loss 1.2974 (1.3491) Prec@1 69.531 (68.613) Prec@5 87.500 (87.043) Epoch: [82][5640/10010] Time 0.340 (0.327) Data 0.001 (0.001) Loss 1.6730 (1.3493) Prec@1 64.844 (68.609) Prec@5 85.938 (87.040) Epoch: [82][5650/10010] Time 0.341 (0.327) Data 0.001 (0.001) Loss 1.5444 (1.3493) Prec@1 62.500 (68.611) Prec@5 84.375 (87.041) Epoch: [82][5660/10010] Time 0.323 (0.327) Data 0.000 (0.001) Loss 1.3532 (1.3493) Prec@1 64.844 (68.610) Prec@5 85.156 (87.040) Epoch: [82][5670/10010] Time 0.341 (0.327) Data 0.000 (0.001) Loss 1.3636 (1.3492) Prec@1 69.531 (68.613) Prec@5 86.719 (87.040) Epoch: [82][5680/10010] Time 0.317 (0.327) Data 0.001 (0.001) Loss 1.1910 (1.3491) Prec@1 73.438 (68.616) Prec@5 89.062 (87.040) Epoch: [82][5690/10010] Time 0.340 (0.327) Data 0.000 (0.001) Loss 1.3920 (1.3493) Prec@1 67.188 (68.612) Prec@5 89.062 (87.038) Epoch: [82][5700/10010] Time 0.320 (0.327) Data 0.001 (0.001) Loss 1.4309 (1.3494) Prec@1 67.969 (68.611) Prec@5 85.938 (87.037) Epoch: [82][5710/10010] Time 0.344 (0.327) Data 0.000 (0.001) Loss 1.3434 (1.3493) Prec@1 67.969 (68.612) Prec@5 85.156 (87.039) Epoch: [82][5720/10010] Time 0.338 (0.327) Data 0.001 (0.001) Loss 1.4525 (1.3493) Prec@1 72.656 (68.611) Prec@5 85.156 (87.039) Epoch: [82][5730/10010] Time 0.327 (0.327) Data 0.000 (0.001) Loss 1.2660 (1.3493) Prec@1 67.969 (68.609) Prec@5 88.281 (87.039) Epoch: [82][5740/10010] Time 0.314 (0.327) Data 0.000 (0.001) Loss 1.3056 (1.3493) Prec@1 65.625 (68.606) Prec@5 85.938 (87.039) Epoch: [82][5750/10010] Time 0.317 (0.327) Data 0.000 (0.001) Loss 1.6417 (1.3495) Prec@1 66.406 (68.605) Prec@5 80.469 (87.037) Epoch: [82][5760/10010] Time 0.336 (0.327) Data 0.001 (0.001) Loss 1.4722 (1.3495) Prec@1 65.625 (68.605) Prec@5 83.594 (87.037) Epoch: [82][5770/10010] Time 0.336 (0.327) Data 0.000 (0.001) Loss 1.2833 (1.3495) Prec@1 71.875 (68.607) Prec@5 85.156 (87.034) Epoch: [82][5780/10010] Time 0.332 (0.327) Data 0.000 (0.001) Loss 1.3273 (1.3495) Prec@1 67.969 (68.606) Prec@5 86.719 (87.034) Epoch: [82][5790/10010] Time 0.317 (0.327) Data 0.000 (0.001) Loss 1.0715 (1.3496) Prec@1 70.312 (68.605) Prec@5 91.406 (87.034) /data/vision/torralba/deepscene/lib/anaconda2/lib/python2.7/site-packages/PIL/TiffImagePlugin.py:692: UserWarning: Possibly corrupt EXIF data. Expecting to read 2555904 bytes but only got 0. Skipping tag 0 "Skipping tag %s" % (size, len(data), tag)) Epoch: [82][5800/10010] Time 0.328 (0.327) Data 0.001 (0.001) Loss 1.3561 (1.3496) Prec@1 71.094 (68.604) Prec@5 85.938 (87.032) Epoch: [82][5810/10010] Time 0.339 (0.327) Data 0.001 (0.001) Loss 1.3556 (1.3496) Prec@1 64.062 (68.604) Prec@5 85.938 (87.033) Epoch: [82][5820/10010] Time 0.321 (0.327) Data 0.001 (0.001) Loss 1.4338 (1.3496) Prec@1 65.625 (68.603) Prec@5 85.156 (87.033) Epoch: [82][5830/10010] Time 0.331 (0.327) Data 0.001 (0.001) Loss 1.3546 (1.3496) Prec@1 67.969 (68.604) Prec@5 88.281 (87.031) Epoch: [82][5840/10010] Time 0.334 (0.327) Data 0.001 (0.001) Loss 1.3645 (1.3497) Prec@1 64.844 (68.601) Prec@5 88.281 (87.029) Epoch: [82][5850/10010] Time 0.328 (0.327) Data 0.001 (0.001) Loss 1.4712 (1.3497) Prec@1 67.188 (68.602) Prec@5 84.375 (87.030) Epoch: [82][5860/10010] Time 0.340 (0.327) Data 0.001 (0.001) Loss 1.3046 (1.3497) Prec@1 70.312 (68.597) Prec@5 85.938 (87.030) Epoch: [82][5870/10010] Time 0.320 (0.327) Data 0.001 (0.001) Loss 1.4948 (1.3497) Prec@1 64.844 (68.597) Prec@5 82.031 (87.030) Epoch: [82][5880/10010] Time 0.333 (0.327) Data 0.001 (0.001) Loss 1.1340 (1.3497) Prec@1 67.188 (68.595) Prec@5 92.969 (87.031) Epoch: [82][5890/10010] Time 0.327 (0.327) Data 0.001 (0.001) Loss 1.6375 (1.3496) Prec@1 65.625 (68.597) Prec@5 84.375 (87.033) Epoch: [82][5900/10010] Time 0.315 (0.327) Data 0.000 (0.001) Loss 1.2346 (1.3496) Prec@1 71.094 (68.595) Prec@5 85.938 (87.032) Epoch: [82][5910/10010] Time 0.334 (0.327) Data 0.001 (0.001) Loss 1.6450 (1.3495) Prec@1 57.812 (68.596) Prec@5 82.812 (87.035) Epoch: [82][5920/10010] Time 0.314 (0.327) Data 0.003 (0.001) Loss 1.4524 (1.3498) Prec@1 67.188 (68.591) Prec@5 85.938 (87.031) Epoch: [82][5930/10010] Time 0.316 (0.327) Data 0.001 (0.001) Loss 1.1466 (1.3498) Prec@1 76.562 (68.592) Prec@5 89.062 (87.030) Epoch: [82][5940/10010] Time 0.316 (0.327) Data 0.000 (0.001) Loss 1.4736 (1.3499) Prec@1 64.062 (68.589) Prec@5 88.281 (87.029) Epoch: [82][5950/10010] Time 0.323 (0.327) Data 0.000 (0.001) Loss 1.2434 (1.3499) Prec@1 69.531 (68.587) Prec@5 88.281 (87.029) Epoch: [82][5960/10010] Time 0.332 (0.327) Data 0.001 (0.001) Loss 1.1086 (1.3498) Prec@1 71.875 (68.587) Prec@5 90.625 (87.029) Epoch: [82][5970/10010] Time 0.335 (0.327) Data 0.001 (0.001) Loss 1.3099 (1.3498) Prec@1 71.875 (68.587) Prec@5 88.281 (87.030) Epoch: [82][5980/10010] Time 0.324 (0.327) Data 0.001 (0.001) Loss 1.4121 (1.3498) Prec@1 70.312 (68.588) Prec@5 83.594 (87.032) Epoch: [82][5990/10010] Time 0.318 (0.327) Data 0.000 (0.001) Loss 1.4050 (1.3497) Prec@1 68.750 (68.590) Prec@5 87.500 (87.034) Epoch: [82][6000/10010] Time 0.316 (0.327) Data 0.001 (0.001) Loss 1.6220 (1.3498) Prec@1 62.500 (68.586) Prec@5 83.594 (87.033) Epoch: [82][6010/10010] Time 0.324 (0.327) Data 0.001 (0.001) Loss 1.0038 (1.3498) Prec@1 74.219 (68.585) Prec@5 93.750 (87.030) Epoch: [82][6020/10010] Time 0.324 (0.327) Data 0.000 (0.001) Loss 1.4937 (1.3499) Prec@1 64.844 (68.585) Prec@5 86.719 (87.029) Epoch: [82][6030/10010] Time 0.329 (0.327) Data 0.000 (0.001) Loss 1.4316 (1.3499) Prec@1 70.312 (68.586) Prec@5 86.719 (87.028) Epoch: [82][6040/10010] Time 0.327 (0.327) Data 0.001 (0.001) Loss 1.0951 (1.3499) Prec@1 74.219 (68.588) Prec@5 92.188 (87.028) Epoch: [82][6050/10010] Time 0.338 (0.327) Data 0.000 (0.001) Loss 1.0887 (1.3498) Prec@1 71.094 (68.587) Prec@5 91.406 (87.029) Epoch: [82][6060/10010] Time 0.326 (0.327) Data 0.001 (0.001) Loss 1.4052 (1.3499) Prec@1 68.750 (68.585) Prec@5 89.062 (87.028) Epoch: [82][6070/10010] Time 0.327 (0.327) Data 0.000 (0.001) Loss 1.1383 (1.3499) Prec@1 71.875 (68.583) Prec@5 92.188 (87.027) Epoch: [82][6080/10010] Time 0.335 (0.327) Data 0.001 (0.001) Loss 1.1216 (1.3500) Prec@1 73.438 (68.582) Prec@5 92.188 (87.024) Epoch: [82][6090/10010] Time 0.318 (0.327) Data 0.001 (0.001) Loss 1.3676 (1.3500) Prec@1 69.531 (68.584) Prec@5 85.156 (87.024) Epoch: [82][6100/10010] Time 0.320 (0.327) Data 0.000 (0.001) Loss 1.3733 (1.3498) Prec@1 68.750 (68.588) Prec@5 85.938 (87.027) Epoch: [82][6110/10010] Time 0.310 (0.327) Data 0.001 (0.001) Loss 1.2611 (1.3498) Prec@1 68.750 (68.586) Prec@5 88.281 (87.027) Epoch: [82][6120/10010] Time 0.320 (0.327) Data 0.000 (0.001) Loss 1.4315 (1.3499) Prec@1 64.844 (68.584) Prec@5 85.156 (87.025) Epoch: [82][6130/10010] Time 0.323 (0.327) Data 0.001 (0.001) Loss 1.5983 (1.3500) Prec@1 61.719 (68.584) Prec@5 84.375 (87.024) Epoch: [82][6140/10010] Time 0.326 (0.327) Data 0.001 (0.001) Loss 1.5135 (1.3499) Prec@1 65.625 (68.586) Prec@5 82.812 (87.024) Epoch: [82][6150/10010] Time 0.321 (0.327) Data 0.000 (0.001) Loss 1.1219 (1.3499) Prec@1 75.781 (68.587) Prec@5 91.406 (87.023) Epoch: [82][6160/10010] Time 0.314 (0.327) Data 0.001 (0.001) Loss 1.7999 (1.3501) Prec@1 62.500 (68.585) Prec@5 78.906 (87.020) Epoch: [82][6170/10010] Time 0.334 (0.327) Data 0.001 (0.001) Loss 1.1428 (1.3500) Prec@1 69.531 (68.586) Prec@5 92.188 (87.022) Epoch: [82][6180/10010] Time 0.320 (0.327) Data 0.001 (0.001) Loss 1.0614 (1.3499) Prec@1 72.656 (68.588) Prec@5 91.406 (87.022) Epoch: [82][6190/10010] Time 0.330 (0.327) Data 0.001 (0.001) Loss 1.3017 (1.3499) Prec@1 68.750 (68.591) Prec@5 86.719 (87.023) Epoch: [82][6200/10010] Time 0.312 (0.327) Data 0.001 (0.001) Loss 1.2698 (1.3499) Prec@1 70.312 (68.593) Prec@5 86.719 (87.022) Epoch: [82][6210/10010] Time 0.319 (0.327) Data 0.001 (0.001) Loss 1.5684 (1.3499) Prec@1 57.812 (68.592) Prec@5 85.156 (87.022) Epoch: [82][6220/10010] Time 0.319 (0.327) Data 0.001 (0.001) Loss 1.5147 (1.3500) Prec@1 67.188 (68.593) Prec@5 85.156 (87.021) Epoch: [82][6230/10010] Time 0.331 (0.327) Data 0.001 (0.001) Loss 1.3749 (1.3500) Prec@1 70.312 (68.596) Prec@5 86.719 (87.022) Epoch: [82][6240/10010] Time 0.318 (0.327) Data 0.001 (0.001) Loss 1.2761 (1.3500) Prec@1 66.406 (68.595) Prec@5 89.844 (87.022) Epoch: [82][6250/10010] Time 0.315 (0.327) Data 0.001 (0.001) Loss 1.6315 (1.3502) Prec@1 64.062 (68.590) Prec@5 86.719 (87.023) Epoch: [82][6260/10010] Time 0.333 (0.327) Data 0.000 (0.001) Loss 1.5080 (1.3501) Prec@1 68.750 (68.587) Prec@5 85.938 (87.023) Epoch: [82][6270/10010] Time 0.335 (0.327) Data 0.001 (0.001) Loss 1.0931 (1.3501) Prec@1 73.438 (68.590) Prec@5 89.844 (87.025) Epoch: [82][6280/10010] Time 0.333 (0.327) Data 0.000 (0.001) Loss 1.6104 (1.3501) Prec@1 61.719 (68.586) Prec@5 82.812 (87.023) Epoch: [82][6290/10010] Time 0.325 (0.327) Data 0.001 (0.001) Loss 1.1785 (1.3502) Prec@1 73.438 (68.587) Prec@5 92.969 (87.022) Epoch: [82][6300/10010] Time 0.329 (0.327) Data 0.000 (0.001) Loss 1.3329 (1.3502) Prec@1 67.969 (68.586) Prec@5 87.500 (87.023) Epoch: [82][6310/10010] Time 0.323 (0.327) Data 0.001 (0.001) Loss 1.5302 (1.3501) Prec@1 62.500 (68.586) Prec@5 87.500 (87.024) Epoch: [82][6320/10010] Time 0.321 (0.327) Data 0.000 (0.001) Loss 1.3560 (1.3501) Prec@1 69.531 (68.587) Prec@5 86.719 (87.025) Epoch: [82][6330/10010] Time 0.330 (0.327) Data 0.001 (0.001) Loss 1.4574 (1.3500) Prec@1 67.188 (68.588) Prec@5 89.844 (87.026) Epoch: [82][6340/10010] Time 0.319 (0.327) Data 0.001 (0.001) Loss 1.2511 (1.3500) Prec@1 68.750 (68.589) Prec@5 86.719 (87.026) Epoch: [82][6350/10010] Time 0.330 (0.327) Data 0.001 (0.001) Loss 1.6912 (1.3500) Prec@1 66.406 (68.588) Prec@5 80.469 (87.025) Epoch: [82][6360/10010] Time 0.326 (0.327) Data 0.001 (0.001) Loss 1.2997 (1.3499) Prec@1 69.531 (68.588) Prec@5 88.281 (87.027) Epoch: [82][6370/10010] Time 0.320 (0.327) Data 0.001 (0.001) Loss 1.4294 (1.3500) Prec@1 64.844 (68.585) Prec@5 87.500 (87.025) Epoch: [82][6380/10010] Time 0.317 (0.327) Data 0.001 (0.001) Loss 1.8638 (1.3501) Prec@1 57.031 (68.582) Prec@5 80.469 (87.021) Epoch: [82][6390/10010] Time 0.325 (0.327) Data 0.000 (0.001) Loss 1.5786 (1.3501) Prec@1 64.062 (68.582) Prec@5 85.156 (87.021) Epoch: [82][6400/10010] Time 0.326 (0.327) Data 0.001 (0.001) Loss 1.1042 (1.3502) Prec@1 71.875 (68.581) Prec@5 92.969 (87.022) Epoch: [82][6410/10010] Time 0.330 (0.327) Data 0.001 (0.001) Loss 1.3332 (1.3500) Prec@1 70.312 (68.585) Prec@5 87.500 (87.023) Epoch: [82][6420/10010] Time 0.323 (0.327) Data 0.001 (0.001) Loss 1.3350 (1.3499) Prec@1 71.875 (68.586) Prec@5 84.375 (87.024) Epoch: [82][6430/10010] Time 0.335 (0.327) Data 0.000 (0.001) Loss 1.5089 (1.3501) Prec@1 67.969 (68.585) Prec@5 85.938 (87.023) Epoch: [82][6440/10010] Time 0.326 (0.327) Data 0.001 (0.001) Loss 1.5438 (1.3501) Prec@1 66.406 (68.584) Prec@5 84.375 (87.024) Epoch: [82][6450/10010] Time 0.331 (0.327) Data 0.001 (0.001) Loss 1.2776 (1.3502) Prec@1 68.750 (68.583) Prec@5 86.719 (87.023) Epoch: [82][6460/10010] Time 0.341 (0.327) Data 0.001 (0.001) Loss 1.1995 (1.3502) Prec@1 74.219 (68.582) Prec@5 89.062 (87.021) Epoch: [82][6470/10010] Time 0.312 (0.327) Data 0.000 (0.001) Loss 1.3508 (1.3502) Prec@1 72.656 (68.586) Prec@5 86.719 (87.020) Epoch: [82][6480/10010] Time 0.327 (0.327) Data 0.000 (0.001) Loss 1.1476 (1.3501) Prec@1 71.875 (68.586) Prec@5 90.625 (87.023) Epoch: [82][6490/10010] Time 0.324 (0.327) Data 0.001 (0.001) Loss 1.4234 (1.3501) Prec@1 71.094 (68.588) Prec@5 82.031 (87.022) Epoch: [82][6500/10010] Time 0.339 (0.327) Data 0.001 (0.001) Loss 1.2773 (1.3502) Prec@1 67.188 (68.585) Prec@5 90.625 (87.021) Epoch: [82][6510/10010] Time 0.318 (0.327) Data 0.000 (0.001) Loss 1.2903 (1.3502) Prec@1 67.969 (68.585) Prec@5 87.500 (87.021) Epoch: [82][6520/10010] Time 0.341 (0.327) Data 0.000 (0.001) Loss 1.3042 (1.3502) Prec@1 73.438 (68.586) Prec@5 85.156 (87.022) Epoch: [82][6530/10010] Time 0.338 (0.327) Data 0.001 (0.001) Loss 1.3723 (1.3502) Prec@1 68.750 (68.587) Prec@5 82.031 (87.022) Epoch: [82][6540/10010] Time 0.327 (0.327) Data 0.001 (0.001) Loss 1.3065 (1.3503) Prec@1 72.656 (68.584) Prec@5 88.281 (87.022) Epoch: [82][6550/10010] Time 0.317 (0.327) Data 0.001 (0.001) Loss 1.5408 (1.3504) Prec@1 70.312 (68.583) Prec@5 84.375 (87.018) Epoch: [82][6560/10010] Time 0.327 (0.327) Data 0.001 (0.001) Loss 1.7633 (1.3505) Prec@1 60.156 (68.580) Prec@5 84.375 (87.017) Epoch: [82][6570/10010] Time 0.320 (0.327) Data 0.000 (0.001) Loss 1.1800 (1.3505) Prec@1 70.312 (68.580) Prec@5 86.719 (87.015) Epoch: [82][6580/10010] Time 0.312 (0.327) Data 0.001 (0.001) Loss 1.2338 (1.3505) Prec@1 75.781 (68.581) Prec@5 88.281 (87.012) Epoch: [82][6590/10010] Time 0.332 (0.327) Data 0.000 (0.001) Loss 1.4657 (1.3506) Prec@1 75.000 (68.581) Prec@5 83.594 (87.011) Epoch: [82][6600/10010] Time 0.338 (0.327) Data 0.000 (0.001) Loss 1.3855 (1.3506) Prec@1 67.969 (68.579) Prec@5 87.500 (87.011) Epoch: [82][6610/10010] Time 0.335 (0.327) Data 0.001 (0.001) Loss 1.3970 (1.3504) Prec@1 69.531 (68.582) Prec@5 85.156 (87.013) Epoch: [82][6620/10010] Time 0.327 (0.327) Data 0.001 (0.001) Loss 1.3200 (1.3505) Prec@1 70.312 (68.582) Prec@5 82.031 (87.012) Epoch: [82][6630/10010] Time 0.330 (0.327) Data 0.001 (0.001) Loss 1.3339 (1.3503) Prec@1 70.312 (68.585) Prec@5 87.500 (87.014) Epoch: [82][6640/10010] Time 0.316 (0.327) Data 0.001 (0.001) Loss 1.3996 (1.3503) Prec@1 66.406 (68.587) Prec@5 85.938 (87.014) Epoch: [82][6650/10010] Time 0.342 (0.327) Data 0.000 (0.001) Loss 1.3691 (1.3503) Prec@1 70.312 (68.586) Prec@5 86.719 (87.014) Epoch: [82][6660/10010] Time 0.316 (0.327) Data 0.001 (0.001) Loss 1.4395 (1.3503) Prec@1 64.844 (68.587) Prec@5 85.938 (87.013) Epoch: [82][6670/10010] Time 0.331 (0.327) Data 0.001 (0.001) Loss 1.2423 (1.3504) Prec@1 70.312 (68.585) Prec@5 86.719 (87.014) Epoch: [82][6680/10010] Time 0.336 (0.327) Data 0.000 (0.001) Loss 1.8097 (1.3503) Prec@1 57.031 (68.584) Prec@5 81.250 (87.014) Epoch: [82][6690/10010] Time 0.335 (0.327) Data 0.001 (0.001) Loss 1.5766 (1.3504) Prec@1 61.719 (68.582) Prec@5 85.938 (87.016) Epoch: [82][6700/10010] Time 0.315 (0.327) Data 0.000 (0.001) Loss 1.5098 (1.3503) Prec@1 63.281 (68.582) Prec@5 85.156 (87.016) Epoch: [82][6710/10010] Time 0.324 (0.327) Data 0.001 (0.001) Loss 1.1586 (1.3503) Prec@1 75.000 (68.584) Prec@5 89.062 (87.017) Epoch: [82][6720/10010] Time 0.338 (0.327) Data 0.001 (0.001) Loss 1.2918 (1.3502) Prec@1 68.750 (68.583) Prec@5 87.500 (87.018) Epoch: [82][6730/10010] Time 0.342 (0.327) Data 0.000 (0.001) Loss 1.3094 (1.3503) Prec@1 71.094 (68.583) Prec@5 84.375 (87.017) Epoch: [82][6740/10010] Time 0.332 (0.327) Data 0.001 (0.001) Loss 1.1437 (1.3503) Prec@1 70.312 (68.583) Prec@5 90.625 (87.018) Epoch: [82][6750/10010] Time 0.313 (0.327) Data 0.001 (0.001) Loss 1.2829 (1.3503) Prec@1 71.094 (68.583) Prec@5 89.062 (87.018) Epoch: [82][6760/10010] Time 0.342 (0.327) Data 0.001 (0.001) Loss 1.6920 (1.3503) Prec@1 64.062 (68.583) Prec@5 81.250 (87.018) Epoch: [82][6770/10010] Time 0.341 (0.327) Data 0.000 (0.001) Loss 1.2979 (1.3503) Prec@1 66.406 (68.584) Prec@5 92.188 (87.021) Epoch: [82][6780/10010] Time 0.310 (0.327) Data 0.001 (0.001) Loss 1.5267 (1.3502) Prec@1 66.406 (68.585) Prec@5 83.594 (87.021) Epoch: [82][6790/10010] Time 0.333 (0.327) Data 0.001 (0.001) Loss 1.3815 (1.3500) Prec@1 67.188 (68.588) Prec@5 85.938 (87.024) Epoch: [82][6800/10010] Time 0.332 (0.327) Data 0.001 (0.001) Loss 1.4555 (1.3500) Prec@1 66.406 (68.587) Prec@5 85.938 (87.026) Epoch: [82][6810/10010] Time 0.336 (0.327) Data 0.001 (0.001) Loss 1.2219 (1.3500) Prec@1 67.188 (68.588) Prec@5 88.281 (87.025) Epoch: [82][6820/10010] Time 0.315 (0.327) Data 0.001 (0.001) Loss 1.3481 (1.3500) Prec@1 70.312 (68.587) Prec@5 84.375 (87.024) Epoch: [82][6830/10010] Time 0.333 (0.327) Data 0.001 (0.001) Loss 1.1848 (1.3501) Prec@1 73.438 (68.587) Prec@5 88.281 (87.022) Epoch: [82][6840/10010] Time 0.331 (0.327) Data 0.001 (0.001) Loss 1.4868 (1.3501) Prec@1 66.406 (68.587) Prec@5 85.156 (87.020) Epoch: [82][6850/10010] Time 0.334 (0.327) Data 0.001 (0.001) Loss 1.4831 (1.3502) Prec@1 67.969 (68.586) Prec@5 87.500 (87.021) Epoch: [82][6860/10010] Time 0.311 (0.327) Data 0.001 (0.001) Loss 1.2271 (1.3502) Prec@1 71.094 (68.588) Prec@5 85.156 (87.021) Epoch: [82][6870/10010] Time 0.335 (0.327) Data 0.003 (0.001) Loss 1.3848 (1.3501) Prec@1 65.625 (68.588) Prec@5 87.500 (87.022) Epoch: [82][6880/10010] Time 0.313 (0.327) Data 0.001 (0.001) Loss 1.0647 (1.3501) Prec@1 73.438 (68.586) Prec@5 92.188 (87.022) Epoch: [82][6890/10010] Time 0.340 (0.327) Data 0.000 (0.001) Loss 1.4433 (1.3501) Prec@1 67.188 (68.587) Prec@5 85.938 (87.023) Epoch: [82][6900/10010] Time 0.342 (0.327) Data 0.000 (0.001) Loss 1.1714 (1.3501) Prec@1 75.000 (68.587) Prec@5 92.188 (87.023) Epoch: [82][6910/10010] Time 0.340 (0.327) Data 0.000 (0.001) Loss 1.7218 (1.3501) Prec@1 60.156 (68.588) Prec@5 83.594 (87.022) Epoch: [82][6920/10010] Time 0.332 (0.327) Data 0.001 (0.001) Loss 1.1368 (1.3500) Prec@1 71.875 (68.590) Prec@5 88.281 (87.024) Epoch: [82][6930/10010] Time 0.321 (0.327) Data 0.001 (0.001) Loss 1.2973 (1.3500) Prec@1 66.406 (68.590) Prec@5 88.281 (87.025) Epoch: [82][6940/10010] Time 0.326 (0.327) Data 0.000 (0.001) Loss 1.5260 (1.3500) Prec@1 67.188 (68.592) Prec@5 82.031 (87.025) Epoch: [82][6950/10010] Time 0.324 (0.327) Data 0.000 (0.001) Loss 1.6331 (1.3499) Prec@1 63.281 (68.591) Prec@5 82.031 (87.025) Epoch: [82][6960/10010] Time 0.330 (0.327) Data 0.001 (0.001) Loss 1.3309 (1.3499) Prec@1 67.969 (68.592) Prec@5 86.719 (87.027) Epoch: [82][6970/10010] Time 0.337 (0.327) Data 0.001 (0.001) Loss 1.5369 (1.3500) Prec@1 65.625 (68.592) Prec@5 84.375 (87.026) Epoch: [82][6980/10010] Time 0.332 (0.327) Data 0.001 (0.001) Loss 1.3854 (1.3500) Prec@1 70.312 (68.591) Prec@5 89.062 (87.027) Epoch: [82][6990/10010] Time 0.339 (0.327) Data 0.001 (0.001) Loss 1.2881 (1.3500) Prec@1 67.969 (68.590) Prec@5 83.594 (87.026) Epoch: [82][7000/10010] Time 0.321 (0.327) Data 0.001 (0.001) Loss 1.5829 (1.3500) Prec@1 64.062 (68.590) Prec@5 85.156 (87.027) Epoch: [82][7010/10010] Time 0.320 (0.327) Data 0.001 (0.001) Loss 1.4383 (1.3500) Prec@1 65.625 (68.589) Prec@5 85.938 (87.028) Epoch: [82][7020/10010] Time 0.311 (0.327) Data 0.001 (0.001) Loss 1.2896 (1.3499) Prec@1 69.531 (68.590) Prec@5 85.938 (87.029) Epoch: [82][7030/10010] Time 0.317 (0.327) Data 0.001 (0.001) Loss 1.4502 (1.3501) Prec@1 61.719 (68.587) Prec@5 87.500 (87.028) Epoch: [82][7040/10010] Time 0.308 (0.327) Data 0.001 (0.001) Loss 1.3312 (1.3501) Prec@1 69.531 (68.585) Prec@5 89.844 (87.029) Epoch: [82][7050/10010] Time 0.319 (0.327) Data 0.000 (0.001) Loss 1.2196 (1.3499) Prec@1 67.969 (68.587) Prec@5 88.281 (87.029) Epoch: [82][7060/10010] Time 0.338 (0.327) Data 0.001 (0.001) Loss 1.4477 (1.3499) Prec@1 64.844 (68.586) Prec@5 86.719 (87.030) Epoch: [82][7070/10010] Time 0.337 (0.327) Data 0.000 (0.001) Loss 1.5182 (1.3500) Prec@1 66.406 (68.586) Prec@5 85.938 (87.030) Epoch: [82][7080/10010] Time 0.317 (0.327) Data 0.000 (0.001) Loss 1.4101 (1.3500) Prec@1 71.094 (68.588) Prec@5 84.375 (87.030) Epoch: [82][7090/10010] Time 0.320 (0.327) Data 0.000 (0.001) Loss 1.4792 (1.3500) Prec@1 67.969 (68.588) Prec@5 86.719 (87.032) Epoch: [82][7100/10010] Time 0.321 (0.327) Data 0.000 (0.001) Loss 1.5488 (1.3499) Prec@1 64.062 (68.588) Prec@5 82.812 (87.033) Epoch: [82][7110/10010] Time 0.321 (0.327) Data 0.000 (0.001) Loss 1.2950 (1.3501) Prec@1 67.969 (68.586) Prec@5 86.719 (87.032) Epoch: [82][7120/10010] Time 0.327 (0.327) Data 0.000 (0.001) Loss 1.4144 (1.3500) Prec@1 63.281 (68.586) Prec@5 83.594 (87.032) Epoch: [82][7130/10010] Time 0.322 (0.327) Data 0.000 (0.001) Loss 1.3527 (1.3500) Prec@1 67.969 (68.586) Prec@5 88.281 (87.034) Epoch: [82][7140/10010] Time 0.341 (0.327) Data 0.001 (0.001) Loss 1.4180 (1.3501) Prec@1 67.188 (68.588) Prec@5 85.156 (87.033) Epoch: [82][7150/10010] Time 0.344 (0.327) Data 0.001 (0.001) Loss 1.1102 (1.3500) Prec@1 72.656 (68.589) Prec@5 89.062 (87.033) Epoch: [82][7160/10010] Time 0.327 (0.327) Data 0.001 (0.001) Loss 1.2770 (1.3501) Prec@1 68.750 (68.590) Prec@5 89.844 (87.033) Epoch: [82][7170/10010] Time 0.338 (0.327) Data 0.001 (0.001) Loss 1.2469 (1.3500) Prec@1 68.750 (68.591) Prec@5 85.938 (87.034) Epoch: [82][7180/10010] Time 0.330 (0.327) Data 0.001 (0.001) Loss 1.2854 (1.3499) Prec@1 67.188 (68.591) Prec@5 87.500 (87.035) Epoch: [82][7190/10010] Time 0.340 (0.327) Data 0.001 (0.001) Loss 1.3576 (1.3498) Prec@1 72.656 (68.596) Prec@5 88.281 (87.037) Epoch: [82][7200/10010] Time 0.321 (0.327) Data 0.001 (0.001) Loss 1.6348 (1.3498) Prec@1 61.719 (68.596) Prec@5 82.812 (87.036) Epoch: [82][7210/10010] Time 0.317 (0.327) Data 0.001 (0.001) Loss 1.5198 (1.3499) Prec@1 64.062 (68.593) Prec@5 85.156 (87.034) Epoch: [82][7220/10010] Time 0.337 (0.327) Data 0.001 (0.001) Loss 1.4758 (1.3501) Prec@1 61.719 (68.591) Prec@5 87.500 (87.033) Epoch: [82][7230/10010] Time 0.324 (0.327) Data 0.001 (0.001) Loss 1.1017 (1.3501) Prec@1 75.000 (68.592) Prec@5 88.281 (87.033) Epoch: [82][7240/10010] Time 0.314 (0.327) Data 0.001 (0.001) Loss 1.0357 (1.3502) Prec@1 74.219 (68.590) Prec@5 91.406 (87.032) Epoch: [82][7250/10010] Time 0.323 (0.327) Data 0.000 (0.001) Loss 1.3252 (1.3502) Prec@1 67.188 (68.586) Prec@5 86.719 (87.031) Epoch: [82][7260/10010] Time 0.324 (0.327) Data 0.000 (0.001) Loss 1.4914 (1.3503) Prec@1 67.188 (68.588) Prec@5 85.156 (87.031) Epoch: [82][7270/10010] Time 0.317 (0.327) Data 0.001 (0.001) Loss 1.2618 (1.3503) Prec@1 70.312 (68.586) Prec@5 89.844 (87.030) Epoch: [82][7280/10010] Time 0.327 (0.327) Data 0.001 (0.001) Loss 1.5934 (1.3504) Prec@1 61.719 (68.584) Prec@5 83.594 (87.030) Epoch: [82][7290/10010] Time 0.324 (0.327) Data 0.001 (0.001) Loss 1.2116 (1.3504) Prec@1 72.656 (68.583) Prec@5 88.281 (87.030) Epoch: [82][7300/10010] Time 0.334 (0.327) Data 0.001 (0.001) Loss 1.2953 (1.3504) Prec@1 74.219 (68.584) Prec@5 88.281 (87.030) Epoch: [82][7310/10010] Time 0.319 (0.327) Data 0.001 (0.001) Loss 1.1830 (1.3504) Prec@1 69.531 (68.585) Prec@5 89.844 (87.030) Epoch: [82][7320/10010] Time 0.317 (0.327) Data 0.001 (0.001) Loss 1.3328 (1.3504) Prec@1 67.969 (68.584) Prec@5 88.281 (87.029) Epoch: [82][7330/10010] Time 0.321 (0.327) Data 0.001 (0.001) Loss 1.1788 (1.3506) Prec@1 69.531 (68.583) Prec@5 89.844 (87.027) Epoch: [82][7340/10010] Time 0.339 (0.327) Data 0.000 (0.001) Loss 1.3637 (1.3505) Prec@1 68.750 (68.583) Prec@5 86.719 (87.027) Epoch: [82][7350/10010] Time 0.315 (0.327) Data 0.001 (0.001) Loss 1.3590 (1.3506) Prec@1 67.188 (68.582) Prec@5 85.156 (87.026) Epoch: [82][7360/10010] Time 0.331 (0.327) Data 0.001 (0.001) Loss 1.3072 (1.3506) Prec@1 73.438 (68.583) Prec@5 85.156 (87.026) Epoch: [82][7370/10010] Time 0.325 (0.327) Data 0.001 (0.001) Loss 1.4377 (1.3505) Prec@1 72.656 (68.585) Prec@5 87.500 (87.027) Epoch: [82][7380/10010] Time 0.327 (0.327) Data 0.001 (0.001) Loss 1.2724 (1.3506) Prec@1 70.312 (68.586) Prec@5 88.281 (87.026) Epoch: [82][7390/10010] Time 0.322 (0.327) Data 0.000 (0.001) Loss 1.4573 (1.3505) Prec@1 70.312 (68.586) Prec@5 83.594 (87.027) Epoch: [82][7400/10010] Time 0.344 (0.327) Data 0.000 (0.001) Loss 1.1639 (1.3505) Prec@1 74.219 (68.585) Prec@5 89.844 (87.027) Epoch: [82][7410/10010] Time 0.329 (0.327) Data 0.001 (0.001) Loss 1.3250 (1.3505) Prec@1 65.625 (68.585) Prec@5 89.062 (87.028) Epoch: [82][7420/10010] Time 0.332 (0.327) Data 0.001 (0.001) Loss 1.3044 (1.3506) Prec@1 70.312 (68.583) Prec@5 89.844 (87.026) Epoch: [82][7430/10010] Time 0.328 (0.327) Data 0.001 (0.001) Loss 1.1519 (1.3506) Prec@1 69.531 (68.583) Prec@5 90.625 (87.026) Epoch: [82][7440/10010] Time 0.328 (0.327) Data 0.001 (0.001) Loss 1.4459 (1.3507) Prec@1 63.281 (68.581) Prec@5 87.500 (87.026) Epoch: [82][7450/10010] Time 0.323 (0.327) Data 0.001 (0.001) Loss 1.4683 (1.3507) Prec@1 64.844 (68.580) Prec@5 82.031 (87.025) Epoch: [82][7460/10010] Time 0.319 (0.327) Data 0.001 (0.001) Loss 1.1944 (1.3508) Prec@1 71.875 (68.581) Prec@5 90.625 (87.024) Epoch: [82][7470/10010] Time 0.337 (0.327) Data 0.000 (0.001) Loss 1.4143 (1.3507) Prec@1 70.312 (68.584) Prec@5 87.500 (87.026) Epoch: [82][7480/10010] Time 0.313 (0.327) Data 0.001 (0.001) Loss 1.5082 (1.3508) Prec@1 64.062 (68.583) Prec@5 81.250 (87.024) Epoch: [82][7490/10010] Time 0.336 (0.327) Data 0.001 (0.001) Loss 1.0794 (1.3507) Prec@1 75.000 (68.583) Prec@5 89.844 (87.024) Epoch: [82][7500/10010] Time 0.328 (0.327) Data 0.001 (0.001) Loss 1.7056 (1.3509) Prec@1 65.625 (68.581) Prec@5 81.250 (87.020) Epoch: [82][7510/10010] Time 0.320 (0.327) Data 0.001 (0.001) Loss 1.3696 (1.3509) Prec@1 67.969 (68.581) Prec@5 85.156 (87.019) Epoch: [82][7520/10010] Time 0.323 (0.327) Data 0.001 (0.001) Loss 1.3345 (1.3509) Prec@1 74.219 (68.580) Prec@5 89.062 (87.019) Epoch: [82][7530/10010] Time 0.332 (0.327) Data 0.001 (0.001) Loss 1.3458 (1.3509) Prec@1 69.531 (68.582) Prec@5 85.938 (87.020) Epoch: [82][7540/10010] Time 0.316 (0.327) Data 0.001 (0.001) Loss 1.1472 (1.3509) Prec@1 74.219 (68.582) Prec@5 85.938 (87.020) Epoch: [82][7550/10010] Time 0.325 (0.327) Data 0.001 (0.001) Loss 1.1755 (1.3508) Prec@1 76.562 (68.583) Prec@5 89.062 (87.021) Epoch: [82][7560/10010] Time 0.338 (0.327) Data 0.001 (0.001) Loss 1.1922 (1.3508) Prec@1 71.094 (68.584) Prec@5 89.844 (87.020) Epoch: [82][7570/10010] Time 0.322 (0.327) Data 0.000 (0.001) Loss 1.4471 (1.3508) Prec@1 66.406 (68.583) Prec@5 84.375 (87.019) Epoch: [82][7580/10010] Time 0.322 (0.327) Data 0.000 (0.001) Loss 1.2575 (1.3508) Prec@1 67.969 (68.584) Prec@5 87.500 (87.019) Epoch: [82][7590/10010] Time 0.334 (0.327) Data 0.001 (0.001) Loss 1.2527 (1.3508) Prec@1 70.312 (68.584) Prec@5 88.281 (87.019) Epoch: [82][7600/10010] Time 0.323 (0.327) Data 0.001 (0.001) Loss 1.5180 (1.3508) Prec@1 66.406 (68.586) Prec@5 84.375 (87.019) Epoch: [82][7610/10010] Time 0.330 (0.327) Data 0.001 (0.001) Loss 1.1267 (1.3507) Prec@1 79.688 (68.588) Prec@5 89.062 (87.020) Epoch: [82][7620/10010] Time 0.334 (0.327) Data 0.000 (0.001) Loss 1.4384 (1.3507) Prec@1 67.188 (68.590) Prec@5 82.031 (87.019) Epoch: [82][7630/10010] Time 0.340 (0.327) Data 0.000 (0.001) Loss 1.1486 (1.3507) Prec@1 74.219 (68.591) Prec@5 89.062 (87.019) Epoch: [82][7640/10010] Time 0.335 (0.327) Data 0.001 (0.001) Loss 1.1910 (1.3508) Prec@1 72.656 (68.589) Prec@5 92.969 (87.019) Epoch: [82][7650/10010] Time 0.334 (0.327) Data 0.001 (0.001) Loss 1.1552 (1.3509) Prec@1 71.094 (68.586) Prec@5 92.188 (87.018) Epoch: [82][7660/10010] Time 0.317 (0.327) Data 0.001 (0.001) Loss 1.5336 (1.3509) Prec@1 59.375 (68.584) Prec@5 81.250 (87.016) Epoch: [82][7670/10010] Time 0.344 (0.327) Data 0.000 (0.001) Loss 1.5579 (1.3510) Prec@1 67.969 (68.582) Prec@5 81.250 (87.014) Epoch: [82][7680/10010] Time 0.340 (0.327) Data 0.001 (0.001) Loss 1.3426 (1.3509) Prec@1 66.406 (68.583) Prec@5 89.844 (87.015) Epoch: [82][7690/10010] Time 0.318 (0.327) Data 0.001 (0.001) Loss 1.3871 (1.3508) Prec@1 71.875 (68.586) Prec@5 85.938 (87.015) Epoch: [82][7700/10010] Time 0.337 (0.327) Data 0.001 (0.001) Loss 1.1943 (1.3507) Prec@1 71.094 (68.588) Prec@5 86.719 (87.016) Epoch: [82][7710/10010] Time 0.336 (0.327) Data 0.001 (0.001) Loss 1.4202 (1.3506) Prec@1 67.969 (68.588) Prec@5 81.250 (87.017) Epoch: [82][7720/10010] Time 0.332 (0.327) Data 0.001 (0.001) Loss 1.4964 (1.3506) Prec@1 67.969 (68.587) Prec@5 85.156 (87.017) Epoch: [82][7730/10010] Time 0.319 (0.327) Data 0.001 (0.001) Loss 1.2790 (1.3507) Prec@1 68.750 (68.586) Prec@5 89.062 (87.017) Epoch: [82][7740/10010] Time 0.335 (0.327) Data 0.001 (0.001) Loss 1.2261 (1.3507) Prec@1 73.438 (68.584) Prec@5 86.719 (87.016) Epoch: [82][7750/10010] Time 0.318 (0.327) Data 0.001 (0.001) Loss 1.4282 (1.3508) Prec@1 64.844 (68.581) Prec@5 89.062 (87.014) Epoch: [82][7760/10010] Time 0.329 (0.327) Data 0.001 (0.001) Loss 1.3386 (1.3509) Prec@1 67.969 (68.580) Prec@5 89.062 (87.014) Epoch: [82][7770/10010] Time 0.340 (0.327) Data 0.001 (0.001) Loss 1.4292 (1.3510) Prec@1 66.406 (68.579) Prec@5 87.500 (87.013) Epoch: [82][7780/10010] Time 0.338 (0.327) Data 0.001 (0.001) Loss 1.5632 (1.3510) Prec@1 60.938 (68.579) Prec@5 85.156 (87.012) Epoch: [82][7790/10010] Time 0.329 (0.327) Data 0.000 (0.001) Loss 1.4827 (1.3510) Prec@1 68.750 (68.580) Prec@5 83.594 (87.011) Epoch: [82][7800/10010] Time 0.341 (0.327) Data 0.000 (0.001) Loss 1.2601 (1.3511) Prec@1 72.656 (68.578) Prec@5 88.281 (87.011) Epoch: [82][7810/10010] Time 0.333 (0.327) Data 0.001 (0.001) Loss 1.1453 (1.3511) Prec@1 70.312 (68.578) Prec@5 93.750 (87.012) Epoch: [82][7820/10010] Time 0.318 (0.327) Data 0.001 (0.001) Loss 1.0877 (1.3511) Prec@1 78.125 (68.577) Prec@5 89.844 (87.012) Epoch: [82][7830/10010] Time 0.343 (0.327) Data 0.001 (0.001) Loss 1.3712 (1.3511) Prec@1 66.406 (68.577) Prec@5 84.375 (87.011) Epoch: [82][7840/10010] Time 0.338 (0.327) Data 0.001 (0.001) Loss 1.4140 (1.3512) Prec@1 64.844 (68.574) Prec@5 89.844 (87.011) Epoch: [82][7850/10010] Time 0.341 (0.327) Data 0.001 (0.001) Loss 0.9593 (1.3511) Prec@1 75.000 (68.577) Prec@5 92.969 (87.012) Epoch: [82][7860/10010] Time 0.318 (0.327) Data 0.001 (0.001) Loss 1.3018 (1.3510) Prec@1 71.875 (68.580) Prec@5 86.719 (87.012) Epoch: [82][7870/10010] Time 0.311 (0.327) Data 0.001 (0.001) Loss 1.4290 (1.3511) Prec@1 67.188 (68.579) Prec@5 83.594 (87.012) Epoch: [82][7880/10010] Time 0.311 (0.327) Data 0.001 (0.001) Loss 1.3582 (1.3511) Prec@1 65.625 (68.577) Prec@5 89.062 (87.012) Epoch: [82][7890/10010] Time 0.315 (0.327) Data 0.001 (0.001) Loss 1.8939 (1.3512) Prec@1 62.500 (68.576) Prec@5 79.688 (87.010) Epoch: [82][7900/10010] Time 0.342 (0.327) Data 0.000 (0.001) Loss 1.4884 (1.3511) Prec@1 63.281 (68.577) Prec@5 84.375 (87.010) Epoch: [82][7910/10010] Time 0.345 (0.327) Data 0.001 (0.001) Loss 1.3590 (1.3512) Prec@1 69.531 (68.576) Prec@5 85.156 (87.010) Epoch: [82][7920/10010] Time 0.329 (0.327) Data 0.001 (0.001) Loss 1.2808 (1.3511) Prec@1 67.188 (68.577) Prec@5 87.500 (87.011) Epoch: [82][7930/10010] Time 0.342 (0.327) Data 0.000 (0.001) Loss 1.3154 (1.3511) Prec@1 69.531 (68.576) Prec@5 86.719 (87.009) Epoch: [82][7940/10010] Time 0.318 (0.327) Data 0.001 (0.001) Loss 1.2615 (1.3511) Prec@1 72.656 (68.576) Prec@5 85.156 (87.011) Epoch: [82][7950/10010] Time 0.329 (0.327) Data 0.000 (0.001) Loss 1.3170 (1.3510) Prec@1 71.094 (68.577) Prec@5 85.938 (87.011) Epoch: [82][7960/10010] Time 0.321 (0.327) Data 0.001 (0.001) Loss 1.4874 (1.3512) Prec@1 60.938 (68.574) Prec@5 87.500 (87.009) Epoch: [82][7970/10010] Time 0.322 (0.327) Data 0.001 (0.001) Loss 1.4542 (1.3512) Prec@1 67.969 (68.572) Prec@5 82.812 (87.010) Epoch: [82][7980/10010] Time 0.330 (0.327) Data 0.001 (0.001) Loss 1.3083 (1.3512) Prec@1 72.656 (68.570) Prec@5 92.188 (87.009) Epoch: [82][7990/10010] Time 0.313 (0.327) Data 0.001 (0.001) Loss 1.4813 (1.3513) Prec@1 67.969 (68.570) Prec@5 85.938 (87.008) Epoch: [82][8000/10010] Time 0.316 (0.327) Data 0.001 (0.001) Loss 1.1129 (1.3513) Prec@1 74.219 (68.568) Prec@5 92.188 (87.008) Epoch: [82][8010/10010] Time 0.320 (0.327) Data 0.000 (0.001) Loss 1.4102 (1.3514) Prec@1 68.750 (68.567) Prec@5 86.719 (87.008) Epoch: [82][8020/10010] Time 0.315 (0.327) Data 0.001 (0.001) Loss 1.3556 (1.3515) Prec@1 72.656 (68.568) Prec@5 86.719 (87.007) Epoch: [82][8030/10010] Time 0.326 (0.327) Data 0.000 (0.001) Loss 1.3168 (1.3515) Prec@1 70.312 (68.568) Prec@5 89.062 (87.007) Epoch: [82][8040/10010] Time 0.316 (0.327) Data 0.001 (0.001) Loss 1.2268 (1.3515) Prec@1 67.188 (68.567) Prec@5 88.281 (87.007) Epoch: [82][8050/10010] Time 0.333 (0.327) Data 0.000 (0.001) Loss 1.1550 (1.3514) Prec@1 66.406 (68.568) Prec@5 91.406 (87.007) Epoch: [82][8060/10010] Time 0.340 (0.327) Data 0.000 (0.001) Loss 1.2331 (1.3514) Prec@1 70.312 (68.571) Prec@5 88.281 (87.007) Epoch: [82][8070/10010] Time 0.333 (0.327) Data 0.000 (0.001) Loss 1.3812 (1.3514) Prec@1 65.625 (68.570) Prec@5 87.500 (87.006) Epoch: [82][8080/10010] Time 0.338 (0.327) Data 0.001 (0.001) Loss 1.2686 (1.3513) Prec@1 69.531 (68.572) Prec@5 88.281 (87.007) Epoch: [82][8090/10010] Time 0.336 (0.327) Data 0.000 (0.001) Loss 1.3940 (1.3514) Prec@1 67.188 (68.570) Prec@5 84.375 (87.006) Epoch: [82][8100/10010] Time 0.331 (0.327) Data 0.001 (0.001) Loss 1.5845 (1.3515) Prec@1 64.062 (68.566) Prec@5 85.938 (87.005) Epoch: [82][8110/10010] Time 0.339 (0.327) Data 0.001 (0.001) Loss 1.4920 (1.3515) Prec@1 66.406 (68.567) Prec@5 85.938 (87.004) Epoch: [82][8120/10010] Time 0.320 (0.327) Data 0.001 (0.001) Loss 1.2252 (1.3515) Prec@1 75.781 (68.568) Prec@5 87.500 (87.004) Epoch: [82][8130/10010] Time 0.334 (0.327) Data 0.001 (0.001) Loss 1.2218 (1.3515) Prec@1 67.188 (68.566) Prec@5 88.281 (87.003) Epoch: [82][8140/10010] Time 0.336 (0.327) Data 0.001 (0.001) Loss 1.3532 (1.3516) Prec@1 71.875 (68.566) Prec@5 84.375 (87.002) Epoch: [82][8150/10010] Time 0.321 (0.327) Data 0.000 (0.001) Loss 1.3359 (1.3516) Prec@1 71.094 (68.567) Prec@5 85.938 (87.001) Epoch: [82][8160/10010] Time 0.322 (0.327) Data 0.000 (0.001) Loss 1.3543 (1.3516) Prec@1 66.406 (68.568) Prec@5 85.938 (87.001) Epoch: [82][8170/10010] Time 0.338 (0.327) Data 0.001 (0.001) Loss 1.3162 (1.3516) Prec@1 68.750 (68.566) Prec@5 86.719 (87.001) Epoch: [82][8180/10010] Time 0.330 (0.327) Data 0.001 (0.001) Loss 1.2429 (1.3516) Prec@1 68.750 (68.567) Prec@5 88.281 (87.001) Epoch: [82][8190/10010] Time 0.334 (0.327) Data 0.000 (0.001) Loss 1.4984 (1.3516) Prec@1 71.875 (68.567) Prec@5 87.500 (87.002) Epoch: [82][8200/10010] Time 0.340 (0.327) Data 0.001 (0.001) Loss 1.4799 (1.3516) Prec@1 67.188 (68.566) Prec@5 83.594 (87.002) Epoch: [82][8210/10010] Time 0.331 (0.327) Data 0.001 (0.001) Loss 1.0735 (1.3516) Prec@1 71.875 (68.566) Prec@5 92.969 (87.002) Epoch: [82][8220/10010] Time 0.311 (0.327) Data 0.001 (0.001) Loss 1.3568 (1.3516) Prec@1 70.312 (68.566) Prec@5 87.500 (87.001) Epoch: [82][8230/10010] Time 0.313 (0.327) Data 0.001 (0.001) Loss 1.4404 (1.3516) Prec@1 69.531 (68.566) Prec@5 85.938 (87.002) Epoch: [82][8240/10010] Time 0.327 (0.327) Data 0.001 (0.001) Loss 1.1841 (1.3516) Prec@1 70.312 (68.567) Prec@5 89.844 (87.001) Epoch: [82][8250/10010] Time 0.339 (0.327) Data 0.001 (0.001) Loss 1.6230 (1.3517) Prec@1 63.281 (68.566) Prec@5 83.594 (86.999) Epoch: [82][8260/10010] Time 0.318 (0.327) Data 0.000 (0.001) Loss 1.1270 (1.3517) Prec@1 75.781 (68.567) Prec@5 91.406 (86.998) Epoch: [82][8270/10010] Time 0.334 (0.327) Data 0.001 (0.001) Loss 1.3625 (1.3518) Prec@1 71.875 (68.565) Prec@5 87.500 (86.996) Epoch: [82][8280/10010] Time 0.323 (0.327) Data 0.001 (0.001) Loss 1.8485 (1.3518) Prec@1 60.156 (68.564) Prec@5 77.344 (86.996) Epoch: [82][8290/10010] Time 0.330 (0.327) Data 0.000 (0.001) Loss 1.4801 (1.3520) Prec@1 66.406 (68.559) Prec@5 85.938 (86.993) Epoch: [82][8300/10010] Time 0.331 (0.327) Data 0.001 (0.001) Loss 1.3022 (1.3519) Prec@1 66.406 (68.560) Prec@5 90.625 (86.994) Epoch: [82][8310/10010] Time 0.333 (0.327) Data 0.000 (0.001) Loss 1.2402 (1.3519) Prec@1 71.875 (68.559) Prec@5 86.719 (86.994) Epoch: [82][8320/10010] Time 0.313 (0.327) Data 0.001 (0.001) Loss 1.6532 (1.3520) Prec@1 62.500 (68.559) Prec@5 82.812 (86.992) Epoch: [82][8330/10010] Time 0.324 (0.327) Data 0.001 (0.001) Loss 1.1459 (1.3520) Prec@1 68.750 (68.561) Prec@5 91.406 (86.992) Epoch: [82][8340/10010] Time 0.318 (0.327) Data 0.000 (0.001) Loss 1.3219 (1.3520) Prec@1 66.406 (68.562) Prec@5 89.062 (86.993) Epoch: [82][8350/10010] Time 0.331 (0.327) Data 0.001 (0.001) Loss 1.4427 (1.3519) Prec@1 69.531 (68.562) Prec@5 85.938 (86.994) Epoch: [82][8360/10010] Time 0.313 (0.327) Data 0.001 (0.001) Loss 1.4960 (1.3520) Prec@1 64.844 (68.560) Prec@5 86.719 (86.994) Epoch: [82][8370/10010] Time 0.322 (0.327) Data 0.001 (0.001) Loss 1.4266 (1.3520) Prec@1 60.938 (68.558) Prec@5 88.281 (86.995) Epoch: [82][8380/10010] Time 0.338 (0.327) Data 0.000 (0.001) Loss 1.1399 (1.3519) Prec@1 71.875 (68.561) Prec@5 89.062 (86.996) Epoch: [82][8390/10010] Time 0.325 (0.327) Data 0.001 (0.001) Loss 1.3154 (1.3518) Prec@1 65.625 (68.561) Prec@5 84.375 (86.997) Epoch: [82][8400/10010] Time 0.336 (0.327) Data 0.001 (0.001) Loss 1.2235 (1.3518) Prec@1 67.969 (68.561) Prec@5 92.188 (86.998) Epoch: [82][8410/10010] Time 0.331 (0.327) Data 0.001 (0.001) Loss 1.2460 (1.3517) Prec@1 73.438 (68.562) Prec@5 86.719 (86.997) Epoch: [82][8420/10010] Time 0.321 (0.327) Data 0.001 (0.001) Loss 1.5447 (1.3518) Prec@1 73.438 (68.562) Prec@5 82.812 (86.998) Epoch: [82][8430/10010] Time 0.340 (0.327) Data 0.000 (0.001) Loss 1.4232 (1.3517) Prec@1 65.625 (68.563) Prec@5 87.500 (86.999) Epoch: [82][8440/10010] Time 0.321 (0.327) Data 0.001 (0.001) Loss 1.2242 (1.3517) Prec@1 70.312 (68.563) Prec@5 89.062 (86.999) Epoch: [82][8450/10010] Time 0.334 (0.327) Data 0.001 (0.001) Loss 1.2563 (1.3516) Prec@1 69.531 (68.566) Prec@5 86.719 (87.001) Epoch: [82][8460/10010] Time 0.332 (0.327) Data 0.001 (0.001) Loss 1.5282 (1.3516) Prec@1 66.406 (68.566) Prec@5 84.375 (87.000) Epoch: [82][8470/10010] Time 0.321 (0.327) Data 0.001 (0.001) Loss 1.4531 (1.3517) Prec@1 67.969 (68.564) Prec@5 86.719 (87.000) Epoch: [82][8480/10010] Time 0.318 (0.327) Data 0.001 (0.001) Loss 1.1190 (1.3516) Prec@1 75.000 (68.565) Prec@5 91.406 (87.002) Epoch: [82][8490/10010] Time 0.326 (0.327) Data 0.001 (0.001) Loss 1.3742 (1.3516) Prec@1 70.312 (68.563) Prec@5 87.500 (87.001) Epoch: [82][8500/10010] Time 0.332 (0.327) Data 0.000 (0.001) Loss 1.5211 (1.3515) Prec@1 60.938 (68.564) Prec@5 85.938 (87.003) Epoch: [82][8510/10010] Time 0.332 (0.327) Data 0.000 (0.001) Loss 1.7647 (1.3517) Prec@1 66.406 (68.564) Prec@5 81.250 (87.002) Epoch: [82][8520/10010] Time 0.331 (0.327) Data 0.001 (0.001) Loss 1.0924 (1.3516) Prec@1 71.875 (68.565) Prec@5 91.406 (87.003) Epoch: [82][8530/10010] Time 0.316 (0.327) Data 0.000 (0.001) Loss 1.3775 (1.3516) Prec@1 71.094 (68.565) Prec@5 86.719 (87.003) Epoch: [82][8540/10010] Time 0.333 (0.327) Data 0.001 (0.001) Loss 1.4522 (1.3516) Prec@1 67.188 (68.565) Prec@5 84.375 (87.003) Epoch: [82][8550/10010] Time 0.319 (0.327) Data 0.001 (0.001) Loss 1.3195 (1.3517) Prec@1 69.531 (68.566) Prec@5 88.281 (87.004) Epoch: [82][8560/10010] Time 0.322 (0.327) Data 0.001 (0.001) Loss 1.2783 (1.3517) Prec@1 67.188 (68.566) Prec@5 91.406 (87.004) Epoch: [82][8570/10010] Time 0.338 (0.327) Data 0.001 (0.001) Loss 1.3592 (1.3517) Prec@1 71.094 (68.567) Prec@5 85.938 (87.004) Epoch: [82][8580/10010] Time 0.340 (0.327) Data 0.000 (0.001) Loss 1.3241 (1.3517) Prec@1 70.312 (68.567) Prec@5 85.938 (87.005) Epoch: [82][8590/10010] Time 0.319 (0.327) Data 0.000 (0.001) Loss 1.5526 (1.3516) Prec@1 67.969 (68.568) Prec@5 82.812 (87.005) Epoch: [82][8600/10010] Time 0.330 (0.327) Data 0.001 (0.001) Loss 1.6644 (1.3516) Prec@1 64.844 (68.568) Prec@5 79.688 (87.005) Epoch: [82][8610/10010] Time 0.318 (0.327) Data 0.001 (0.001) Loss 1.5185 (1.3516) Prec@1 64.062 (68.568) Prec@5 84.375 (87.004) Epoch: [82][8620/10010] Time 0.323 (0.327) Data 0.000 (0.001) Loss 1.6951 (1.3516) Prec@1 61.719 (68.568) Prec@5 82.812 (87.004) Epoch: [82][8630/10010] Time 0.338 (0.327) Data 0.000 (0.001) Loss 1.3177 (1.3517) Prec@1 67.188 (68.566) Prec@5 87.500 (87.003) Epoch: [82][8640/10010] Time 0.323 (0.327) Data 0.000 (0.001) Loss 1.1978 (1.3518) Prec@1 74.219 (68.566) Prec@5 89.844 (87.002) Epoch: [82][8650/10010] Time 0.342 (0.327) Data 0.001 (0.001) Loss 1.2294 (1.3516) Prec@1 68.750 (68.569) Prec@5 87.500 (87.004) Epoch: [82][8660/10010] Time 0.315 (0.327) Data 0.000 (0.001) Loss 1.1423 (1.3517) Prec@1 75.000 (68.568) Prec@5 90.625 (87.003) Epoch: [82][8670/10010] Time 0.343 (0.327) Data 0.000 (0.001) Loss 1.5862 (1.3517) Prec@1 64.062 (68.568) Prec@5 81.250 (87.002) Epoch: [82][8680/10010] Time 0.325 (0.327) Data 0.001 (0.001) Loss 1.3339 (1.3517) Prec@1 71.094 (68.570) Prec@5 86.719 (87.002) Epoch: [82][8690/10010] Time 0.338 (0.327) Data 0.001 (0.001) Loss 1.4189 (1.3517) Prec@1 69.531 (68.569) Prec@5 85.156 (87.001) Epoch: [82][8700/10010] Time 0.317 (0.327) Data 0.001 (0.001) Loss 1.2832 (1.3519) Prec@1 68.750 (68.566) Prec@5 89.844 (87.000) Epoch: [82][8710/10010] Time 0.333 (0.327) Data 0.001 (0.001) Loss 1.4306 (1.3519) Prec@1 67.188 (68.564) Prec@5 85.938 (86.999) Epoch: [82][8720/10010] Time 0.339 (0.327) Data 0.001 (0.001) Loss 1.6744 (1.3517) Prec@1 60.938 (68.567) Prec@5 82.031 (87.001) Epoch: [82][8730/10010] Time 0.319 (0.327) Data 0.000 (0.001) Loss 1.2706 (1.3519) Prec@1 64.844 (68.562) Prec@5 90.625 (87.000) Epoch: [82][8740/10010] Time 0.311 (0.327) Data 0.000 (0.001) Loss 1.1950 (1.3518) Prec@1 71.094 (68.563) Prec@5 91.406 (87.001) Epoch: [82][8750/10010] Time 0.323 (0.327) Data 0.000 (0.001) Loss 1.1663 (1.3518) Prec@1 71.094 (68.565) Prec@5 89.062 (87.002) Epoch: [82][8760/10010] Time 0.333 (0.327) Data 0.001 (0.001) Loss 1.3455 (1.3518) Prec@1 70.312 (68.566) Prec@5 86.719 (87.002) Epoch: [82][8770/10010] Time 0.326 (0.327) Data 0.000 (0.001) Loss 1.1717 (1.3517) Prec@1 69.531 (68.566) Prec@5 89.844 (87.003) Epoch: [82][8780/10010] Time 0.328 (0.327) Data 0.000 (0.001) Loss 1.3342 (1.3518) Prec@1 68.750 (68.562) Prec@5 88.281 (87.002) Epoch: [82][8790/10010] Time 0.335 (0.327) Data 0.001 (0.001) Loss 1.5314 (1.3518) Prec@1 66.406 (68.562) Prec@5 85.938 (87.002) Epoch: [82][8800/10010] Time 0.324 (0.327) Data 0.001 (0.001) Loss 1.3892 (1.3518) Prec@1 68.750 (68.562) Prec@5 86.719 (87.002) Epoch: [82][8810/10010] Time 0.324 (0.327) Data 0.001 (0.001) Loss 1.5312 (1.3518) Prec@1 64.062 (68.563) Prec@5 85.938 (87.003) Epoch: [82][8820/10010] Time 0.329 (0.327) Data 0.001 (0.001) Loss 1.2358 (1.3519) Prec@1 71.094 (68.562) Prec@5 89.844 (87.001) Epoch: [82][8830/10010] Time 0.321 (0.327) Data 0.000 (0.001) Loss 1.5700 (1.3519) Prec@1 65.625 (68.563) Prec@5 82.812 (87.002) Epoch: [82][8840/10010] Time 0.340 (0.327) Data 0.001 (0.001) Loss 1.6392 (1.3520) Prec@1 63.281 (68.560) Prec@5 79.688 (86.998) Epoch: [82][8850/10010] Time 0.331 (0.327) Data 0.001 (0.001) Loss 1.1415 (1.3519) Prec@1 72.656 (68.562) Prec@5 90.625 (86.999) Epoch: [82][8860/10010] Time 0.331 (0.327) Data 0.001 (0.001) Loss 1.3003 (1.3520) Prec@1 68.750 (68.562) Prec@5 86.719 (86.998) Epoch: [82][8870/10010] Time 0.318 (0.327) Data 0.001 (0.001) Loss 1.3758 (1.3520) Prec@1 67.188 (68.560) Prec@5 85.156 (86.997) Epoch: [82][8880/10010] Time 0.319 (0.327) Data 0.001 (0.001) Loss 1.5073 (1.3521) Prec@1 63.281 (68.558) Prec@5 85.938 (86.996) Epoch: [82][8890/10010] Time 0.328 (0.327) Data 0.001 (0.001) Loss 1.3973 (1.3521) Prec@1 67.969 (68.557) Prec@5 85.156 (86.995) Epoch: [82][8900/10010] Time 0.329 (0.327) Data 0.001 (0.001) Loss 1.3776 (1.3522) Prec@1 69.531 (68.558) Prec@5 85.156 (86.993) Epoch: [82][8910/10010] Time 0.341 (0.327) Data 0.000 (0.001) Loss 1.4171 (1.3522) Prec@1 64.844 (68.558) Prec@5 87.500 (86.993) Epoch: [82][8920/10010] Time 0.327 (0.327) Data 0.001 (0.001) Loss 1.3379 (1.3522) Prec@1 69.531 (68.559) Prec@5 86.719 (86.993) Epoch: [82][8930/10010] Time 0.318 (0.327) Data 0.001 (0.001) Loss 1.3550 (1.3523) Prec@1 67.188 (68.559) Prec@5 85.938 (86.993) Epoch: [82][8940/10010] Time 0.318 (0.327) Data 0.001 (0.001) Loss 1.4408 (1.3523) Prec@1 67.969 (68.560) Prec@5 83.594 (86.993) Epoch: [82][8950/10010] Time 0.335 (0.327) Data 0.000 (0.001) Loss 1.1625 (1.3523) Prec@1 74.219 (68.561) Prec@5 89.844 (86.993) Epoch: [82][8960/10010] Time 0.319 (0.327) Data 0.001 (0.001) Loss 1.6184 (1.3523) Prec@1 67.969 (68.563) Prec@5 80.469 (86.994) Epoch: [82][8970/10010] Time 0.313 (0.327) Data 0.001 (0.001) Loss 1.4938 (1.3523) Prec@1 62.500 (68.563) Prec@5 87.500 (86.993) Epoch: [82][8980/10010] Time 0.321 (0.327) Data 0.001 (0.001) Loss 1.4555 (1.3524) Prec@1 66.406 (68.562) Prec@5 86.719 (86.992) Epoch: [82][8990/10010] Time 0.334 (0.327) Data 0.000 (0.001) Loss 1.4667 (1.3523) Prec@1 63.281 (68.562) Prec@5 84.375 (86.993) Epoch: [82][9000/10010] Time 0.313 (0.327) Data 0.001 (0.001) Loss 1.3472 (1.3523) Prec@1 64.062 (68.560) Prec@5 85.156 (86.992) Epoch: [82][9010/10010] Time 0.315 (0.327) Data 0.001 (0.001) Loss 1.3998 (1.3524) Prec@1 73.438 (68.559) Prec@5 86.719 (86.992) Epoch: [82][9020/10010] Time 0.321 (0.327) Data 0.001 (0.001) Loss 1.4783 (1.3523) Prec@1 65.625 (68.560) Prec@5 84.375 (86.992) Epoch: [82][9030/10010] Time 0.322 (0.327) Data 0.001 (0.001) Loss 1.4835 (1.3523) Prec@1 63.281 (68.559) Prec@5 84.375 (86.992) Epoch: [82][9040/10010] Time 0.322 (0.327) Data 0.000 (0.001) Loss 1.2693 (1.3524) Prec@1 69.531 (68.559) Prec@5 91.406 (86.993) Epoch: [82][9050/10010] Time 0.320 (0.327) Data 0.000 (0.001) Loss 1.1161 (1.3524) Prec@1 76.562 (68.559) Prec@5 88.281 (86.993) Epoch: [82][9060/10010] Time 0.335 (0.327) Data 0.001 (0.001) Loss 1.5028 (1.3525) Prec@1 67.188 (68.556) Prec@5 82.031 (86.991) Epoch: [82][9070/10010] Time 0.325 (0.327) Data 0.001 (0.001) Loss 1.3903 (1.3525) Prec@1 68.750 (68.557) Prec@5 85.938 (86.992) Epoch: [82][9080/10010] Time 0.327 (0.327) Data 0.000 (0.001) Loss 1.3227 (1.3525) Prec@1 68.750 (68.557) Prec@5 87.500 (86.991) Epoch: [82][9090/10010] Time 0.317 (0.327) Data 0.001 (0.001) Loss 1.2492 (1.3525) Prec@1 66.406 (68.558) Prec@5 88.281 (86.991) Epoch: [82][9100/10010] Time 0.318 (0.327) Data 0.001 (0.001) Loss 1.3157 (1.3525) Prec@1 70.312 (68.559) Prec@5 85.938 (86.993) /data/vision/torralba/deepscene/lib/anaconda2/lib/python2.7/site-packages/PIL/TiffImagePlugin.py:692: UserWarning: Possibly corrupt EXIF data. Expecting to read 2555904 bytes but only got 0. Skipping tag 0 "Skipping tag %s" % (size, len(data), tag)) Epoch: [82][9110/10010] Time 0.330 (0.327) Data 0.001 (0.001) Loss 1.4628 (1.3525) Prec@1 64.062 (68.556) Prec@5 87.500 (86.994) Epoch: [82][9120/10010] Time 0.334 (0.327) Data 0.000 (0.001) Loss 1.6953 (1.3526) Prec@1 67.188 (68.555) Prec@5 81.250 (86.993) Epoch: [82][9130/10010] Time 0.325 (0.327) Data 0.001 (0.001) Loss 1.2516 (1.3526) Prec@1 64.844 (68.554) Prec@5 89.062 (86.992) Epoch: [82][9140/10010] Time 0.328 (0.327) Data 0.001 (0.001) Loss 1.4362 (1.3526) Prec@1 71.094 (68.552) Prec@5 87.500 (86.992) Epoch: [82][9150/10010] Time 0.316 (0.327) Data 0.001 (0.001) Loss 1.4635 (1.3528) Prec@1 65.625 (68.549) Prec@5 85.938 (86.990) Epoch: [82][9160/10010] Time 0.339 (0.327) Data 0.001 (0.001) Loss 1.1760 (1.3527) Prec@1 74.219 (68.550) Prec@5 92.188 (86.992) Epoch: [82][9170/10010] Time 0.340 (0.327) Data 0.001 (0.001) Loss 1.5205 (1.3527) Prec@1 65.625 (68.549) Prec@5 86.719 (86.992) Epoch: [82][9180/10010] Time 0.339 (0.327) Data 0.001 (0.001) Loss 1.5801 (1.3528) Prec@1 67.188 (68.548) Prec@5 82.812 (86.991) Epoch: [82][9190/10010] Time 0.336 (0.327) Data 0.001 (0.001) Loss 1.1584 (1.3527) Prec@1 68.750 (68.547) Prec@5 89.062 (86.992) Epoch: [82][9200/10010] Time 0.334 (0.327) Data 0.001 (0.001) Loss 1.5752 (1.3528) Prec@1 59.375 (68.545) Prec@5 80.469 (86.991) Epoch: [82][9210/10010] Time 0.337 (0.327) Data 0.001 (0.001) Loss 1.4011 (1.3528) Prec@1 67.188 (68.545) Prec@5 88.281 (86.992) Epoch: [82][9220/10010] Time 0.319 (0.327) Data 0.001 (0.001) Loss 1.2508 (1.3528) Prec@1 67.969 (68.544) Prec@5 89.844 (86.993) Epoch: [82][9230/10010] Time 0.320 (0.327) Data 0.001 (0.001) Loss 1.3629 (1.3527) Prec@1 71.094 (68.548) Prec@5 85.938 (86.994) Epoch: [82][9240/10010] Time 0.329 (0.327) Data 0.001 (0.001) Loss 1.1885 (1.3527) Prec@1 69.531 (68.549) Prec@5 89.844 (86.995) Epoch: [82][9250/10010] Time 0.333 (0.327) Data 0.001 (0.001) Loss 1.4096 (1.3527) Prec@1 69.531 (68.548) Prec@5 86.719 (86.995) Epoch: [82][9260/10010] Time 0.342 (0.327) Data 0.001 (0.001) Loss 1.0329 (1.3527) Prec@1 72.656 (68.547) Prec@5 91.406 (86.995) Epoch: [82][9270/10010] Time 0.316 (0.327) Data 0.001 (0.001) Loss 1.5158 (1.3527) Prec@1 68.750 (68.547) Prec@5 80.469 (86.995) Epoch: [82][9280/10010] Time 0.312 (0.327) Data 0.001 (0.001) Loss 1.2918 (1.3526) Prec@1 67.969 (68.547) Prec@5 89.062 (86.997) Epoch: [82][9290/10010] Time 0.338 (0.327) Data 0.001 (0.001) Loss 1.1885 (1.3526) Prec@1 70.312 (68.548) Prec@5 91.406 (86.997) Epoch: [82][9300/10010] Time 0.337 (0.327) Data 0.001 (0.001) Loss 1.3011 (1.3525) Prec@1 70.312 (68.549) Prec@5 87.500 (86.998) Epoch: [82][9310/10010] Time 0.311 (0.327) Data 0.001 (0.001) Loss 1.6538 (1.3525) Prec@1 60.156 (68.548) Prec@5 86.719 (86.999) Epoch: [82][9320/10010] Time 0.325 (0.327) Data 0.001 (0.001) Loss 1.6529 (1.3527) Prec@1 63.281 (68.545) Prec@5 78.125 (86.997) Epoch: [82][9330/10010] Time 0.320 (0.327) Data 0.001 (0.001) Loss 1.4130 (1.3527) Prec@1 69.531 (68.543) Prec@5 84.375 (86.998) Epoch: [82][9340/10010] Time 0.333 (0.327) Data 0.000 (0.001) Loss 1.3881 (1.3527) Prec@1 67.188 (68.544) Prec@5 88.281 (86.998) Epoch: [82][9350/10010] Time 0.331 (0.327) Data 0.001 (0.001) Loss 1.3220 (1.3528) Prec@1 71.094 (68.542) Prec@5 84.375 (86.996) Epoch: [82][9360/10010] Time 0.320 (0.327) Data 0.000 (0.001) Loss 1.3217 (1.3527) Prec@1 65.625 (68.542) Prec@5 89.062 (86.997) Epoch: [82][9370/10010] Time 0.322 (0.327) Data 0.001 (0.001) Loss 1.4828 (1.3527) Prec@1 64.844 (68.541) Prec@5 85.156 (86.997) Epoch: [82][9380/10010] Time 0.319 (0.327) Data 0.001 (0.001) Loss 1.3279 (1.3527) Prec@1 67.188 (68.543) Prec@5 89.844 (86.997) Epoch: [82][9390/10010] Time 0.337 (0.327) Data 0.000 (0.001) Loss 1.5957 (1.3526) Prec@1 60.938 (68.543) Prec@5 86.719 (86.998) Epoch: [82][9400/10010] Time 0.324 (0.327) Data 0.001 (0.001) Loss 1.3287 (1.3526) Prec@1 64.062 (68.543) Prec@5 88.281 (86.999) Epoch: [82][9410/10010] Time 0.311 (0.327) Data 0.001 (0.001) Loss 1.4405 (1.3527) Prec@1 66.406 (68.540) Prec@5 84.375 (86.998) Epoch: [82][9420/10010] Time 0.336 (0.327) Data 0.000 (0.001) Loss 1.1259 (1.3526) Prec@1 75.781 (68.542) Prec@5 90.625 (87.000) Epoch: [82][9430/10010] Time 0.339 (0.327) Data 0.001 (0.001) Loss 1.1903 (1.3526) Prec@1 69.531 (68.541) Prec@5 89.844 (87.000) Epoch: [82][9440/10010] Time 0.335 (0.327) Data 0.001 (0.001) Loss 1.3657 (1.3526) Prec@1 70.312 (68.542) Prec@5 86.719 (87.000) Epoch: [82][9450/10010] Time 0.329 (0.327) Data 0.001 (0.001) Loss 1.5562 (1.3527) Prec@1 63.281 (68.541) Prec@5 84.375 (86.999) Epoch: [82][9460/10010] Time 0.342 (0.327) Data 0.001 (0.001) Loss 1.3474 (1.3527) Prec@1 72.656 (68.541) Prec@5 90.625 (86.999) Epoch: [82][9470/10010] Time 0.313 (0.327) Data 0.001 (0.001) Loss 1.3966 (1.3527) Prec@1 66.406 (68.540) Prec@5 82.812 (86.998) Epoch: [82][9480/10010] Time 0.329 (0.327) Data 0.001 (0.001) Loss 1.6010 (1.3527) Prec@1 66.406 (68.540) Prec@5 82.031 (86.998) Epoch: [82][9490/10010] Time 0.341 (0.327) Data 0.000 (0.001) Loss 1.6627 (1.3527) Prec@1 64.062 (68.539) Prec@5 79.688 (86.999) Epoch: [82][9500/10010] Time 0.319 (0.327) Data 0.001 (0.001) Loss 1.4143 (1.3527) Prec@1 62.500 (68.538) Prec@5 85.938 (86.998) /data/vision/torralba/deepscene/lib/anaconda2/lib/python2.7/site-packages/PIL/TiffImagePlugin.py:692: UserWarning: Possibly corrupt EXIF data. Expecting to read 2555904 bytes but only got 0. Skipping tag 0 "Skipping tag %s" % (size, len(data), tag)) Epoch: [82][9510/10010] Time 0.320 (0.327) Data 0.000 (0.001) Loss 1.5150 (1.3527) Prec@1 68.750 (68.537) Prec@5 85.156 (86.997) Epoch: [82][9520/10010] Time 0.333 (0.327) Data 0.001 (0.001) Loss 1.5917 (1.3527) Prec@1 62.500 (68.536) Prec@5 82.031 (86.997) Epoch: [82][9530/10010] Time 0.322 (0.327) Data 0.001 (0.001) Loss 1.8379 (1.3527) Prec@1 57.812 (68.535) Prec@5 79.688 (86.997) Epoch: [82][9540/10010] Time 0.341 (0.327) Data 0.001 (0.001) Loss 1.4563 (1.3528) Prec@1 63.281 (68.534) Prec@5 82.812 (86.996) Epoch: [82][9550/10010] Time 0.318 (0.327) Data 0.001 (0.001) Loss 1.3599 (1.3528) Prec@1 67.969 (68.533) Prec@5 85.156 (86.995) Epoch: [82][9560/10010] Time 0.335 (0.327) Data 0.001 (0.001) Loss 1.2070 (1.3528) Prec@1 71.875 (68.534) Prec@5 89.062 (86.994) Epoch: [82][9570/10010] Time 0.345 (0.327) Data 0.001 (0.001) Loss 1.0465 (1.3527) Prec@1 72.656 (68.533) Prec@5 94.531 (86.996) Epoch: [82][9580/10010] Time 0.317 (0.327) Data 0.001 (0.001) Loss 1.6902 (1.3528) Prec@1 60.938 (68.531) Prec@5 82.812 (86.995) Epoch: [82][9590/10010] Time 0.318 (0.327) Data 0.001 (0.001) Loss 1.2850 (1.3529) Prec@1 68.750 (68.530) Prec@5 90.625 (86.995) Epoch: [82][9600/10010] Time 0.321 (0.327) Data 0.000 (0.001) Loss 1.4491 (1.3529) Prec@1 66.406 (68.529) Prec@5 88.281 (86.993) Epoch: [82][9610/10010] Time 0.328 (0.327) Data 0.001 (0.001) Loss 1.3980 (1.3529) Prec@1 65.625 (68.527) Prec@5 86.719 (86.993) Epoch: [82][9620/10010] Time 0.313 (0.327) Data 0.001 (0.001) Loss 1.3165 (1.3529) Prec@1 71.094 (68.527) Prec@5 88.281 (86.992) Epoch: [82][9630/10010] Time 0.319 (0.327) Data 0.001 (0.001) Loss 1.8866 (1.3530) Prec@1 57.812 (68.527) Prec@5 78.125 (86.993) Epoch: [82][9640/10010] Time 0.320 (0.327) Data 0.000 (0.001) Loss 1.1032 (1.3529) Prec@1 75.000 (68.529) Prec@5 92.969 (86.994) Epoch: [82][9650/10010] Time 0.339 (0.327) Data 0.001 (0.001) Loss 1.3430 (1.3528) Prec@1 72.656 (68.530) Prec@5 85.156 (86.995) Epoch: [82][9660/10010] Time 0.323 (0.327) Data 0.001 (0.001) Loss 1.0074 (1.3527) Prec@1 75.781 (68.531) Prec@5 90.625 (86.997) Epoch: [82][9670/10010] Time 0.327 (0.327) Data 0.001 (0.001) Loss 1.5490 (1.3527) Prec@1 64.062 (68.529) Prec@5 83.594 (86.996) Epoch: [82][9680/10010] Time 0.324 (0.327) Data 0.000 (0.001) Loss 1.0807 (1.3527) Prec@1 74.219 (68.528) Prec@5 93.750 (86.997) Epoch: [82][9690/10010] Time 0.322 (0.327) Data 0.001 (0.001) Loss 1.4127 (1.3527) Prec@1 66.406 (68.529) Prec@5 86.719 (86.996) Epoch: [82][9700/10010] Time 0.316 (0.327) Data 0.001 (0.001) Loss 1.2577 (1.3527) Prec@1 75.000 (68.530) Prec@5 89.062 (86.996) Epoch: [82][9710/10010] Time 0.329 (0.327) Data 0.001 (0.001) Loss 1.5155 (1.3527) Prec@1 61.719 (68.529) Prec@5 86.719 (86.996) Epoch: [82][9720/10010] Time 0.319 (0.327) Data 0.001 (0.001) Loss 1.0823 (1.3527) Prec@1 74.219 (68.527) Prec@5 92.969 (86.996) Epoch: [82][9730/10010] Time 0.330 (0.327) Data 0.001 (0.001) Loss 1.0937 (1.3527) Prec@1 70.312 (68.526) Prec@5 89.844 (86.997) Epoch: [82][9740/10010] Time 0.325 (0.327) Data 0.001 (0.001) Loss 1.1696 (1.3528) Prec@1 75.000 (68.526) Prec@5 85.938 (86.996) Epoch: [82][9750/10010] Time 0.326 (0.327) Data 0.001 (0.001) Loss 1.4531 (1.3528) Prec@1 69.531 (68.526) Prec@5 85.938 (86.996) /data/vision/torralba/deepscene/lib/anaconda2/lib/python2.7/site-packages/PIL/TiffImagePlugin.py:709: UserWarning: Corrupt EXIF data. Expecting to read 4 bytes but only got 0. warnings.warn(str(msg)) Epoch: [82][9760/10010] Time 0.314 (0.327) Data 0.001 (0.001) Loss 1.2958 (1.3527) Prec@1 69.531 (68.526) Prec@5 89.062 (86.997) Epoch: [82][9770/10010] Time 0.333 (0.327) Data 0.001 (0.001) Loss 1.3876 (1.3526) Prec@1 71.094 (68.528) Prec@5 84.375 (86.997) Epoch: [82][9780/10010] Time 0.321 (0.327) Data 0.001 (0.001) Loss 1.3277 (1.3526) Prec@1 66.406 (68.529) Prec@5 91.406 (86.997) Epoch: [82][9790/10010] Time 0.320 (0.327) Data 0.001 (0.001) Loss 1.5133 (1.3527) Prec@1 65.625 (68.527) Prec@5 85.156 (86.996) Epoch: [82][9800/10010] Time 0.328 (0.327) Data 0.000 (0.001) Loss 1.6989 (1.3527) Prec@1 57.812 (68.527) Prec@5 78.125 (86.996) Epoch: [82][9810/10010] Time 0.317 (0.327) Data 0.001 (0.001) Loss 1.2215 (1.3527) Prec@1 71.094 (68.528) Prec@5 85.938 (86.996) Epoch: [82][9820/10010] Time 0.347 (0.327) Data 0.000 (0.001) Loss 1.2411 (1.3527) Prec@1 67.188 (68.527) Prec@5 88.281 (86.996) Epoch: [82][9830/10010] Time 0.327 (0.327) Data 0.001 (0.001) Loss 1.2193 (1.3525) Prec@1 68.750 (68.530) Prec@5 89.062 (86.999) Epoch: [82][9840/10010] Time 0.326 (0.327) Data 0.001 (0.001) Loss 1.3919 (1.3525) Prec@1 71.094 (68.534) Prec@5 86.719 (87.000) Epoch: [82][9850/10010] Time 0.319 (0.327) Data 0.001 (0.001) Loss 1.4832 (1.3524) Prec@1 66.406 (68.535) Prec@5 85.156 (87.001) Epoch: [82][9860/10010] Time 0.317 (0.327) Data 0.001 (0.001) Loss 1.3000 (1.3523) Prec@1 72.656 (68.537) Prec@5 88.281 (87.000) Epoch: [82][9870/10010] Time 0.332 (0.327) Data 0.001 (0.001) Loss 1.3975 (1.3523) Prec@1 68.750 (68.536) Prec@5 85.156 (87.001) Epoch: [82][9880/10010] Time 0.334 (0.327) Data 0.001 (0.001) Loss 1.6110 (1.3524) Prec@1 60.938 (68.534) Prec@5 83.594 (86.999) Epoch: [82][9890/10010] Time 0.315 (0.327) Data 0.000 (0.001) Loss 1.4224 (1.3523) Prec@1 68.750 (68.537) Prec@5 83.594 (86.999) Epoch: [82][9900/10010] Time 0.332 (0.327) Data 0.001 (0.001) Loss 1.0618 (1.3524) Prec@1 76.562 (68.537) Prec@5 90.625 (86.998) Epoch: [82][9910/10010] Time 0.325 (0.327) Data 0.001 (0.001) Loss 1.2591 (1.3523) Prec@1 66.406 (68.539) Prec@5 90.625 (87.000) Epoch: [82][9920/10010] Time 0.320 (0.327) Data 0.001 (0.001) Loss 1.3935 (1.3524) Prec@1 67.969 (68.539) Prec@5 87.500 (86.999) Epoch: [82][9930/10010] Time 0.319 (0.327) Data 0.000 (0.001) Loss 1.3956 (1.3523) Prec@1 71.094 (68.539) Prec@5 89.062 (86.999) Epoch: [82][9940/10010] Time 0.325 (0.327) Data 0.000 (0.001) Loss 1.3209 (1.3523) Prec@1 64.844 (68.540) Prec@5 89.844 (87.000) Epoch: [82][9950/10010] Time 0.323 (0.327) Data 0.001 (0.001) Loss 1.2211 (1.3522) Prec@1 75.000 (68.541) Prec@5 87.500 (87.001) Epoch: [82][9960/10010] Time 0.324 (0.327) Data 0.000 (0.001) Loss 1.5197 (1.3522) Prec@1 63.281 (68.541) Prec@5 85.156 (87.001) Epoch: [82][9970/10010] Time 0.338 (0.327) Data 0.001 (0.001) Loss 1.3812 (1.3523) Prec@1 67.188 (68.539) Prec@5 85.156 (87.000) Epoch: [82][9980/10010] Time 0.322 (0.327) Data 0.000 (0.001) Loss 1.7020 (1.3523) Prec@1 55.469 (68.537) Prec@5 83.594 (87.000) Epoch: [82][9990/10010] Time 0.322 (0.327) Data 0.000 (0.001) Loss 1.2178 (1.3524) Prec@1 75.000 (68.537) Prec@5 89.844 (87.000) Epoch: [82][10000/10010] Time 0.331 (0.327) Data 0.000 (0.001) Loss 1.3109 (1.3523) Prec@1 71.094 (68.538) Prec@5 87.500 (87.001) Test: [0/391] Time 1.236 (1.236) Loss 0.6733 (0.6733) Prec@1 85.156 (85.156) Prec@5 94.531 (94.531) Test: [10/391] Time 0.144 (0.232) Loss 1.2360 (0.6333) Prec@1 69.531 (84.233) Prec@5 90.625 (95.597) Test: [20/391] Time 0.105 (0.173) Loss 0.8774 (0.8913) Prec@1 75.781 (77.046) Prec@5 92.969 (92.746) Test: [30/391] Time 0.103 (0.151) Loss 1.5578 (1.0153) Prec@1 69.531 (73.690) Prec@5 87.500 (92.087) Test: [40/391] Time 0.109 (0.140) Loss 0.8305 (0.9129) Prec@1 83.594 (76.582) Prec@5 92.969 (92.931) Test: [50/391] Time 0.105 (0.133) Loss 0.4774 (0.9373) Prec@1 87.500 (76.471) Prec@5 96.875 (92.616) Test: [60/391] Time 0.108 (0.131) Loss 0.9588 (0.8844) Prec@1 80.469 (77.818) Prec@5 92.969 (93.186) Test: [70/391] Time 0.103 (0.128) Loss 1.1009 (0.9123) Prec@1 69.531 (76.750) Prec@5 94.531 (93.277) Test: [80/391] Time 0.105 (0.125) Loss 0.9915 (0.9284) Prec@1 72.656 (76.061) Prec@5 92.969 (93.248) Test: [90/391] Time 0.106 (0.123) Loss 1.1332 (0.9309) Prec@1 55.469 (75.901) Prec@5 93.750 (93.286) Test: [100/391] Time 0.109 (0.122) Loss 0.6458 (0.9213) Prec@1 83.594 (75.874) Prec@5 96.094 (93.526) Test: [110/391] Time 0.105 (0.120) Loss 1.2433 (0.9255) Prec@1 53.906 (75.697) Prec@5 93.750 (93.630) Test: [120/391] Time 0.105 (0.119) Loss 0.6448 (0.9206) Prec@1 84.375 (75.975) Prec@5 98.438 (93.685) Test: [130/391] Time 0.107 (0.118) Loss 0.4171 (0.9139) Prec@1 92.188 (76.264) Prec@5 96.094 (93.744) Test: [140/391] Time 0.110 (0.117) Loss 1.3127 (0.9162) Prec@1 62.500 (76.114) Prec@5 90.625 (93.756) Test: [150/391] Time 0.102 (0.116) Loss 0.9572 (0.9210) Prec@1 69.531 (76.097) Prec@5 92.188 (93.595) Test: [160/391] Time 0.107 (0.115) Loss 0.9740 (0.9256) Prec@1 75.000 (76.019) Prec@5 93.750 (93.556) Test: [170/391] Time 0.107 (0.115) Loss 1.7289 (0.9563) Prec@1 57.812 (75.402) Prec@5 86.719 (93.202) Test: [180/391] Time 0.110 (0.114) Loss 1.7405 (0.9877) Prec@1 56.250 (74.698) Prec@5 87.500 (92.796) Test: [190/391] Time 0.106 (0.114) Loss 2.1514 (1.0255) Prec@1 54.688 (73.928) Prec@5 80.469 (92.310) Test: [200/391] Time 0.101 (0.114) Loss 1.1426 (1.0554) Prec@1 71.094 (73.379) Prec@5 92.188 (91.900) Test: [210/391] Time 0.104 (0.113) Loss 1.5302 (1.0756) Prec@1 66.406 (72.934) Prec@5 85.156 (91.647) Test: [220/391] Time 0.113 (0.113) Loss 0.5142 (1.0850) Prec@1 88.281 (72.766) Prec@5 96.875 (91.435) Test: [230/391] Time 0.117 (0.113) Loss 2.0569 (1.0993) Prec@1 50.781 (72.497) Prec@5 82.812 (91.268) Test: [240/391] Time 0.151 (0.113) Loss 1.3698 (1.1074) Prec@1 75.000 (72.420) Prec@5 85.938 (91.118) Test: [250/391] Time 0.101 (0.112) Loss 0.8325 (1.1323) Prec@1 79.688 (71.816) Prec@5 91.406 (90.790) Test: [260/391] Time 0.107 (0.112) Loss 1.4780 (1.1472) Prec@1 63.281 (71.504) Prec@5 86.719 (90.628) Test: [270/391] Time 0.106 (0.112) Loss 2.0012 (1.1578) Prec@1 50.781 (71.290) Prec@5 85.156 (90.490) Test: [280/391] Time 0.105 (0.112) Loss 1.4295 (1.1648) Prec@1 62.500 (71.202) Prec@5 90.625 (90.394) Test: [290/391] Time 0.099 (0.112) Loss 1.5223 (1.1761) Prec@1 53.125 (70.997) Prec@5 89.844 (90.195) Test: [300/391] Time 0.096 (0.111) Loss 1.2654 (1.1859) Prec@1 75.000 (70.816) Prec@5 87.500 (90.077) Test: [310/391] Time 0.102 (0.111) Loss 1.4834 (1.1947) Prec@1 68.750 (70.679) Prec@5 84.375 (89.922) Test: [320/391] Time 0.103 (0.111) Loss 0.7870 (1.2015) Prec@1 85.156 (70.536) Prec@5 92.188 (89.836) Test: [330/391] Time 0.097 (0.111) Loss 1.8343 (1.2188) Prec@1 60.156 (70.180) Prec@5 80.469 (89.612) Test: [340/391] Time 0.103 (0.111) Loss 1.0789 (1.2242) Prec@1 67.969 (70.049) Prec@5 94.531 (89.530) Test: [350/391] Time 0.106 (0.111) Loss 1.2885 (1.2285) Prec@1 68.750 (69.976) Prec@5 89.844 (89.454) Test: [360/391] Time 0.100 (0.110) Loss 1.4491 (1.2370) Prec@1 59.375 (69.813) Prec@5 89.062 (89.387) Test: [370/391] Time 0.105 (0.110) Loss 1.0697 (1.2321) Prec@1 68.750 (69.889) Prec@5 96.875 (89.456) Test: [380/391] Time 0.108 (0.110) Loss 0.9797 (1.2349) Prec@1 78.125 (69.833) Prec@5 92.969 (89.436) Test: [390/391] Time 0.073 (0.110) Loss 2.2751 (1.2284) Prec@1 37.500 (69.992) Prec@5 78.750 (89.510) * Prec@1 69.992 Prec@5 89.510 Epoch: [83][0/10010] Time 2.836 (2.836) Data 2.664 (2.664) Loss 1.3776 (1.3776) Prec@1 70.312 (70.312) Prec@5 85.938 (85.938) Epoch: [83][10/10010] Time 0.312 (0.545) Data 0.001 (0.243) Loss 1.4538 (1.3071) Prec@1 70.312 (69.531) Prec@5 82.812 (87.074) Epoch: [83][20/10010] Time 0.318 (0.437) Data 0.001 (0.127) Loss 1.5011 (1.3015) Prec@1 68.750 (69.196) Prec@5 85.156 (87.388) Epoch: [83][30/10010] Time 0.311 (0.398) Data 0.000 (0.087) Loss 1.3349 (1.3172) Prec@1 68.750 (68.977) Prec@5 87.500 (87.072) Epoch: [83][40/10010] Time 0.320 (0.379) Data 0.000 (0.066) Loss 1.1278 (1.3145) Prec@1 73.438 (68.731) Prec@5 90.625 (87.462) Epoch: [83][50/10010] Time 0.337 (0.367) Data 0.000 (0.053) Loss 1.2377 (1.3147) Prec@1 65.625 (68.873) Prec@5 87.500 (87.393) Epoch: [83][60/10010] Time 0.341 (0.362) Data 0.001 (0.044) Loss 1.1843 (1.3238) Prec@1 72.656 (68.968) Prec@5 89.062 (87.257) Epoch: [83][70/10010] Time 0.338 (0.358) Data 0.000 (0.038) Loss 1.4854 (1.3215) Prec@1 64.062 (69.036) Prec@5 81.250 (87.258) Epoch: [83][80/10010] Time 0.332 (0.354) Data 0.000 (0.033) Loss 1.4828 (1.3218) Prec@1 65.625 (68.924) Prec@5 89.062 (87.326) Epoch: [83][90/10010] Time 0.333 (0.352) Data 0.000 (0.030) Loss 1.0540 (1.3164) Prec@1 71.875 (69.111) Prec@5 89.062 (87.397) Epoch: [83][100/10010] Time 0.338 (0.349) Data 0.000 (0.027) Loss 1.3877 (1.3235) Prec@1 70.312 (69.144) Prec@5 87.500 (87.369) Epoch: [83][110/10010] Time 0.340 (0.348) Data 0.000 (0.025) Loss 1.4389 (1.3246) Prec@1 67.188 (69.123) Prec@5 84.375 (87.352) Epoch: [83][120/10010] Time 0.330 (0.347) Data 0.001 (0.023) Loss 1.2921 (1.3222) Prec@1 70.312 (69.144) Prec@5 86.719 (87.442) Epoch: [83][130/10010] Time 0.330 (0.345) Data 0.001 (0.021) Loss 1.2472 (1.3247) Prec@1 73.438 (69.239) Prec@5 88.281 (87.375) Epoch: [83][140/10010] Time 0.341 (0.344) Data 0.000 (0.019) Loss 1.2988 (1.3225) Prec@1 67.969 (69.177) Prec@5 86.719 (87.339) Epoch: [83][150/10010] Time 0.320 (0.343) Data 0.001 (0.018) Loss 1.3775 (1.3259) Prec@1 67.188 (69.107) Prec@5 85.938 (87.278) Epoch: [83][160/10010] Time 0.332 (0.342) Data 0.000 (0.017) Loss 1.3330 (1.3260) Prec@1 73.438 (69.133) Prec@5 88.281 (87.248) Epoch: [83][170/10010] Time 0.336 (0.342) Data 0.001 (0.016) Loss 1.4235 (1.3266) Prec@1 67.188 (69.184) Prec@5 85.938 (87.244) Epoch: [83][180/10010] Time 0.314 (0.341) Data 0.001 (0.015) Loss 1.3369 (1.3268) Prec@1 67.969 (69.156) Prec@5 86.719 (87.237) Epoch: [83][190/10010] Time 0.317 (0.340) Data 0.000 (0.015) Loss 1.2598 (1.3263) Prec@1 67.969 (69.061) Prec@5 88.281 (87.283) Epoch: [83][200/10010] Time 0.315 (0.339) Data 0.000 (0.014) Loss 1.4416 (1.3253) Prec@1 64.844 (69.092) Prec@5 82.812 (87.275) Epoch: [83][210/10010] Time 0.332 (0.338) Data 0.000 (0.013) Loss 1.1041 (1.3223) Prec@1 75.000 (69.176) Prec@5 93.750 (87.330) Epoch: [83][220/10010] Time 0.332 (0.338) Data 0.001 (0.013) Loss 1.4211 (1.3252) Prec@1 69.531 (69.195) Prec@5 85.938 (87.306) Epoch: [83][230/10010] Time 0.338 (0.337) Data 0.001 (0.012) Loss 1.4239 (1.3311) Prec@1 68.750 (69.078) Prec@5 87.500 (87.267) Epoch: [83][240/10010] Time 0.337 (0.337) Data 0.000 (0.012) Loss 1.2114 (1.3305) Prec@1 76.562 (69.035) Prec@5 87.500 (87.293) /data/vision/torralba/deepscene/lib/anaconda2/lib/python2.7/site-packages/PIL/TiffImagePlugin.py:692: UserWarning: Possibly corrupt EXIF data. Expecting to read 2555904 bytes but only got 0. Skipping tag 0 "Skipping tag %s" % (size, len(data), tag)) Epoch: [83][250/10010] Time 0.334 (0.336) Data 0.000 (0.011) Loss 1.3762 (1.3347) Prec@1 68.750 (68.918) Prec@5 85.938 (87.207) Epoch: [83][260/10010] Time 0.319 (0.336) Data 0.001 (0.011) Loss 1.2726 (1.3380) Prec@1 67.969 (68.855) Prec@5 87.500 (87.135) Epoch: [83][270/10010] Time 0.315 (0.335) Data 0.000 (0.010) Loss 1.2336 (1.3383) Prec@1 73.438 (68.854) Prec@5 87.500 (87.091) Epoch: [83][280/10010] Time 0.336 (0.335) Data 0.001 (0.010) Loss 1.3638 (1.3349) Prec@1 67.969 (68.914) Prec@5 88.281 (87.141) Epoch: [83][290/10010] Time 0.331 (0.335) Data 0.000 (0.010) Loss 1.3791 (1.3371) Prec@1 67.188 (68.860) Prec@5 85.156 (87.095) Epoch: [83][300/10010] Time 0.314 (0.335) Data 0.001 (0.009) Loss 1.2744 (1.3354) Prec@1 69.531 (68.898) Prec@5 86.719 (87.105) Epoch: [83][310/10010] Time 0.312 (0.334) Data 0.000 (0.009) Loss 1.0746 (1.3354) Prec@1 72.656 (68.868) Prec@5 92.969 (87.098) Epoch: [83][320/10010] Time 0.329 (0.334) Data 0.001 (0.009) Loss 1.3969 (1.3365) Prec@1 69.531 (68.855) Prec@5 86.719 (87.094) Epoch: [83][330/10010] Time 0.313 (0.334) Data 0.001 (0.009) Loss 1.4717 (1.3379) Prec@1 66.406 (68.830) Prec@5 83.594 (87.066) Epoch: [83][340/10010] Time 0.318 (0.333) Data 0.001 (0.008) Loss 1.3254 (1.3373) Prec@1 68.750 (68.839) Prec@5 83.594 (87.062) Epoch: [83][350/10010] Time 0.331 (0.333) Data 0.001 (0.008) Loss 1.3917 (1.3361) Prec@1 69.531 (68.872) Prec@5 84.375 (87.057) Epoch: [83][360/10010] Time 0.333 (0.333) Data 0.000 (0.008) Loss 1.2580 (1.3374) Prec@1 71.094 (68.867) Prec@5 89.062 (87.041) Epoch: [83][370/10010] Time 0.334 (0.333) Data 0.001 (0.008) Loss 1.3685 (1.3379) Prec@1 64.844 (68.830) Prec@5 87.500 (87.051) Epoch: [83][380/10010] Time 0.328 (0.332) Data 0.001 (0.008) Loss 1.1486 (1.3352) Prec@1 73.438 (68.898) Prec@5 88.281 (87.086) Epoch: [83][390/10010] Time 0.320 (0.332) Data 0.000 (0.007) Loss 1.6221 (1.3360) Prec@1 65.625 (68.902) Prec@5 84.375 (87.084) Epoch: [83][400/10010] Time 0.324 (0.332) Data 0.001 (0.007) Loss 1.5099 (1.3372) Prec@1 71.875 (68.871) Prec@5 82.031 (87.095) Epoch: [83][410/10010] Time 0.327 (0.332) Data 0.000 (0.007) Loss 1.3703 (1.3382) Prec@1 70.312 (68.872) Prec@5 86.719 (87.095) Epoch: [83][420/10010] Time 0.333 (0.332) Data 0.000 (0.007) Loss 1.0345 (1.3379) Prec@1 75.000 (68.895) Prec@5 92.188 (87.120) Epoch: [83][430/10010] Time 0.340 (0.332) Data 0.000 (0.007) Loss 1.5542 (1.3378) Prec@1 67.188 (68.897) Prec@5 85.156 (87.123) Epoch: [83][440/10010] Time 0.328 (0.332) Data 0.001 (0.007) Loss 1.2536 (1.3378) Prec@1 71.094 (68.915) Prec@5 86.719 (87.114) Epoch: [83][450/10010] Time 0.329 (0.331) Data 0.000 (0.007) Loss 1.2347 (1.3369) Prec@1 69.531 (68.934) Prec@5 89.062 (87.134) Epoch: [83][460/10010] Time 0.320 (0.331) Data 0.000 (0.006) Loss 1.4426 (1.3373) Prec@1 66.406 (68.936) Prec@5 86.719 (87.141) Epoch: [83][470/10010] Time 0.334 (0.331) Data 0.000 (0.006) Loss 1.3735 (1.3374) Prec@1 66.406 (68.942) Prec@5 85.938 (87.143) Epoch: [83][480/10010] Time 0.325 (0.331) Data 0.000 (0.006) Loss 1.3779 (1.3385) Prec@1 67.188 (68.917) Prec@5 86.719 (87.138) Epoch: [83][490/10010] Time 0.333 (0.331) Data 0.001 (0.006) Loss 1.4721 (1.3388) Prec@1 62.500 (68.914) Prec@5 82.812 (87.137) Epoch: [83][500/10010] Time 0.309 (0.331) Data 0.001 (0.006) Loss 1.1393 (1.3363) Prec@1 74.219 (68.975) Prec@5 90.625 (87.171) Epoch: [83][510/10010] Time 0.316 (0.330) Data 0.001 (0.006) Loss 1.3541 (1.3360) Prec@1 71.875 (68.996) Prec@5 87.500 (87.191) Epoch: [83][520/10010] Time 0.314 (0.330) Data 0.000 (0.006) Loss 1.6517 (1.3363) Prec@1 59.375 (68.985) Prec@5 84.375 (87.200) Epoch: [83][530/10010] Time 0.340 (0.330) Data 0.000 (0.006) Loss 1.2661 (1.3368) Prec@1 68.750 (68.987) Prec@5 87.500 (87.181) Epoch: [83][540/10010] Time 0.317 (0.330) Data 0.000 (0.006) Loss 1.0587 (1.3353) Prec@1 67.969 (68.995) Prec@5 91.406 (87.208) Epoch: [83][550/10010] Time 0.325 (0.330) Data 0.001 (0.005) Loss 1.2913 (1.3360) Prec@1 70.312 (68.997) Prec@5 89.844 (87.201) Epoch: [83][560/10010] Time 0.319 (0.330) Data 0.001 (0.005) Loss 1.4779 (1.3347) Prec@1 69.531 (69.029) Prec@5 85.938 (87.223) Epoch: [83][570/10010] Time 0.321 (0.330) Data 0.001 (0.005) Loss 1.1757 (1.3352) Prec@1 72.656 (69.035) Prec@5 88.281 (87.218) Epoch: [83][580/10010] Time 0.327 (0.330) Data 0.001 (0.005) Loss 1.4350 (1.3361) Prec@1 60.156 (69.008) Prec@5 87.500 (87.208) Epoch: [83][590/10010] Time 0.317 (0.330) Data 0.001 (0.005) Loss 1.4937 (1.3363) Prec@1 68.750 (69.004) Prec@5 85.938 (87.193) Epoch: [83][600/10010] Time 0.325 (0.330) Data 0.000 (0.005) Loss 1.2153 (1.3349) Prec@1 71.094 (69.000) Prec@5 91.406 (87.222) Epoch: [83][610/10010] Time 0.340 (0.330) Data 0.000 (0.005) Loss 1.3949 (1.3360) Prec@1 70.312 (68.972) Prec@5 88.281 (87.214) Epoch: [83][620/10010] Time 0.330 (0.330) Data 0.000 (0.005) Loss 1.1003 (1.3348) Prec@1 75.000 (68.990) Prec@5 88.281 (87.224) Epoch: [83][630/10010] Time 0.334 (0.330) Data 0.000 (0.005) Loss 1.0871 (1.3349) Prec@1 77.344 (69.015) Prec@5 92.188 (87.219) Epoch: [83][640/10010] Time 0.335 (0.330) Data 0.001 (0.005) Loss 1.1874 (1.3348) Prec@1 72.656 (69.018) Prec@5 87.500 (87.217) Epoch: [83][650/10010] Time 0.329 (0.329) Data 0.000 (0.005) Loss 1.4310 (1.3354) Prec@1 67.969 (69.028) Prec@5 84.375 (87.187) Epoch: [83][660/10010] Time 0.332 (0.329) Data 0.000 (0.005) Loss 1.4417 (1.3346) Prec@1 60.938 (69.037) Prec@5 85.156 (87.200) Epoch: [83][670/10010] Time 0.325 (0.329) Data 0.001 (0.005) Loss 1.4491 (1.3347) Prec@1 66.406 (69.043) Prec@5 85.156 (87.211) Epoch: [83][680/10010] Time 0.337 (0.329) Data 0.001 (0.005) Loss 1.4595 (1.3344) Prec@1 69.531 (69.051) Prec@5 81.250 (87.221) Epoch: [83][690/10010] Time 0.319 (0.329) Data 0.000 (0.004) Loss 1.3627 (1.3348) Prec@1 71.875 (69.059) Prec@5 85.156 (87.208) Epoch: [83][700/10010] Time 0.330 (0.329) Data 0.001 (0.004) Loss 1.2104 (1.3337) Prec@1 72.656 (69.089) Prec@5 89.844 (87.217) Epoch: [83][710/10010] Time 0.324 (0.329) Data 0.001 (0.004) Loss 1.0372 (1.3330) Prec@1 78.906 (69.106) Prec@5 92.188 (87.229) Epoch: [83][720/10010] Time 0.337 (0.329) Data 0.000 (0.004) Loss 1.3342 (1.3325) Prec@1 70.312 (69.109) Prec@5 87.500 (87.244) Epoch: [83][730/10010] Time 0.320 (0.329) Data 0.001 (0.004) Loss 1.6186 (1.3326) Prec@1 62.500 (69.097) Prec@5 84.375 (87.250) Epoch: [83][740/10010] Time 0.326 (0.329) Data 0.001 (0.004) Loss 1.1622 (1.3330) Prec@1 68.750 (69.099) Prec@5 90.625 (87.239) Epoch: [83][750/10010] Time 0.335 (0.329) Data 0.001 (0.004) Loss 1.1723 (1.3332) Prec@1 73.438 (69.088) Prec@5 89.844 (87.230) Epoch: [83][760/10010] Time 0.340 (0.329) Data 0.000 (0.004) Loss 1.1285 (1.3319) Prec@1 71.875 (69.105) Prec@5 89.844 (87.247) Epoch: [83][770/10010] Time 0.316 (0.329) Data 0.001 (0.004) Loss 1.3497 (1.3321) Prec@1 67.188 (69.073) Prec@5 88.281 (87.256) Epoch: [83][780/10010] Time 0.319 (0.329) Data 0.001 (0.004) Loss 1.2080 (1.3321) Prec@1 71.875 (69.065) Prec@5 92.188 (87.271) Epoch: [83][790/10010] Time 0.325 (0.329) Data 0.000 (0.004) Loss 1.5711 (1.3331) Prec@1 64.062 (69.044) Prec@5 81.250 (87.252) Epoch: [83][800/10010] Time 0.319 (0.329) Data 0.001 (0.004) Loss 1.1790 (1.3335) Prec@1 73.438 (69.042) Prec@5 90.625 (87.259) Epoch: [83][810/10010] Time 0.321 (0.329) Data 0.001 (0.004) Loss 1.5249 (1.3334) Prec@1 60.938 (69.038) Prec@5 85.156 (87.261) Epoch: [83][820/10010] Time 0.334 (0.329) Data 0.000 (0.004) Loss 1.2406 (1.3337) Prec@1 74.219 (69.048) Prec@5 85.938 (87.254) Epoch: [83][830/10010] Time 0.329 (0.329) Data 0.001 (0.004) Loss 1.0511 (1.3326) Prec@1 77.344 (69.067) Prec@5 90.625 (87.273) Epoch: [83][840/10010] Time 0.319 (0.329) Data 0.001 (0.004) Loss 1.3093 (1.3328) Prec@1 69.531 (69.055) Prec@5 88.281 (87.267) Epoch: [83][850/10010] Time 0.320 (0.329) Data 0.000 (0.004) Loss 1.2027 (1.3322) Prec@1 68.750 (69.056) Prec@5 91.406 (87.279) Epoch: [83][860/10010] Time 0.330 (0.329) Data 0.000 (0.004) Loss 1.4410 (1.3323) Prec@1 67.188 (69.062) Prec@5 85.156 (87.273) Epoch: [83][870/10010] Time 0.314 (0.329) Data 0.001 (0.004) Loss 1.4583 (1.3334) Prec@1 66.406 (69.041) Prec@5 83.594 (87.258) Epoch: [83][880/10010] Time 0.339 (0.329) Data 0.001 (0.004) Loss 1.4689 (1.3330) Prec@1 62.500 (69.049) Prec@5 85.156 (87.265) Epoch: [83][890/10010] Time 0.320 (0.329) Data 0.000 (0.004) Loss 1.7685 (1.3340) Prec@1 59.375 (69.038) Prec@5 80.469 (87.264) Epoch: [83][900/10010] Time 0.322 (0.329) Data 0.000 (0.004) Loss 1.2721 (1.3344) Prec@1 67.969 (69.021) Prec@5 89.844 (87.260) Epoch: [83][910/10010] Time 0.320 (0.329) Data 0.001 (0.004) Loss 1.3685 (1.3348) Prec@1 65.625 (69.019) Prec@5 85.938 (87.252) Epoch: [83][920/10010] Time 0.346 (0.329) Data 0.000 (0.004) Loss 1.6241 (1.3351) Prec@1 65.625 (69.007) Prec@5 83.594 (87.243) Epoch: [83][930/10010] Time 0.319 (0.329) Data 0.000 (0.003) Loss 1.0302 (1.3346) Prec@1 74.219 (69.011) Prec@5 91.406 (87.254) Epoch: [83][940/10010] Time 0.332 (0.329) Data 0.000 (0.003) Loss 1.4306 (1.3344) Prec@1 66.406 (69.009) Prec@5 84.375 (87.252) Epoch: [83][950/10010] Time 0.328 (0.329) Data 0.000 (0.003) Loss 1.3698 (1.3337) Prec@1 66.406 (69.028) Prec@5 86.719 (87.263) Epoch: [83][960/10010] Time 0.340 (0.329) Data 0.001 (0.003) Loss 1.3641 (1.3331) Prec@1 68.750 (69.029) Prec@5 87.500 (87.267) Epoch: [83][970/10010] Time 0.338 (0.329) Data 0.001 (0.003) Loss 1.2688 (1.3324) Prec@1 70.312 (69.021) Prec@5 91.406 (87.273) Epoch: [83][980/10010] Time 0.320 (0.329) Data 0.001 (0.003) Loss 1.3672 (1.3326) Prec@1 71.875 (69.007) Prec@5 88.281 (87.278) Epoch: [83][990/10010] Time 0.339 (0.329) Data 0.000 (0.003) Loss 1.4116 (1.3331) Prec@1 70.312 (69.000) Prec@5 87.500 (87.263) Epoch: [83][1000/10010] Time 0.325 (0.329) Data 0.001 (0.003) Loss 1.5033 (1.3339) Prec@1 63.281 (68.979) Prec@5 87.500 (87.251) Epoch: [83][1010/10010] Time 0.330 (0.329) Data 0.000 (0.003) Loss 1.3978 (1.3342) Prec@1 65.625 (68.979) Prec@5 84.375 (87.244) Epoch: [83][1020/10010] Time 0.336 (0.329) Data 0.001 (0.003) Loss 1.2483 (1.3344) Prec@1 71.094 (68.968) Prec@5 87.500 (87.241) Epoch: [83][1030/10010] Time 0.337 (0.329) Data 0.001 (0.003) Loss 1.6519 (1.3350) Prec@1 63.281 (68.948) Prec@5 82.812 (87.226) Epoch: [83][1040/10010] Time 0.336 (0.329) Data 0.001 (0.003) Loss 1.5263 (1.3357) Prec@1 65.625 (68.938) Prec@5 82.031 (87.214) Epoch: [83][1050/10010] Time 0.313 (0.329) Data 0.000 (0.003) Loss 1.0651 (1.3354) Prec@1 73.438 (68.950) Prec@5 88.281 (87.214) Epoch: [83][1060/10010] Time 0.323 (0.329) Data 0.000 (0.003) Loss 1.3797 (1.3355) Prec@1 64.844 (68.941) Prec@5 86.719 (87.215) Epoch: [83][1070/10010] Time 0.321 (0.329) Data 0.000 (0.003) Loss 1.4812 (1.3360) Prec@1 62.500 (68.914) Prec@5 82.031 (87.207) Epoch: [83][1080/10010] Time 0.334 (0.329) Data 0.000 (0.003) Loss 1.0815 (1.3364) Prec@1 74.219 (68.905) Prec@5 90.625 (87.208) Epoch: [83][1090/10010] Time 0.329 (0.329) Data 0.000 (0.003) Loss 1.3007 (1.3360) Prec@1 70.312 (68.913) Prec@5 85.156 (87.210) Epoch: [83][1100/10010] Time 0.338 (0.329) Data 0.001 (0.003) Loss 1.1601 (1.3357) Prec@1 68.750 (68.920) Prec@5 91.406 (87.207) Epoch: [83][1110/10010] Time 0.312 (0.329) Data 0.000 (0.003) Loss 1.8059 (1.3364) Prec@1 60.938 (68.901) Prec@5 80.469 (87.200) Epoch: [83][1120/10010] Time 0.334 (0.329) Data 0.001 (0.003) Loss 1.2330 (1.3363) Prec@1 73.438 (68.913) Prec@5 85.938 (87.207) Epoch: [83][1130/10010] Time 0.316 (0.329) Data 0.001 (0.003) Loss 1.3289 (1.3359) Prec@1 67.969 (68.918) Prec@5 89.062 (87.213) Epoch: [83][1140/10010] Time 0.334 (0.329) Data 0.001 (0.003) Loss 1.3676 (1.3362) Prec@1 69.531 (68.909) Prec@5 88.281 (87.214) Epoch: [83][1150/10010] Time 0.317 (0.329) Data 0.001 (0.003) Loss 1.3718 (1.3368) Prec@1 67.188 (68.904) Prec@5 85.938 (87.199) Epoch: [83][1160/10010] Time 0.334 (0.329) Data 0.000 (0.003) Loss 1.5593 (1.3370) Prec@1 64.062 (68.905) Prec@5 81.250 (87.198) Epoch: [83][1170/10010] Time 0.325 (0.329) Data 0.001 (0.003) Loss 1.3965 (1.3371) Prec@1 75.000 (68.910) Prec@5 85.938 (87.194) Epoch: [83][1180/10010] Time 0.337 (0.329) Data 0.000 (0.003) Loss 1.2899 (1.3372) Prec@1 69.531 (68.908) Prec@5 86.719 (87.194) Epoch: [83][1190/10010] Time 0.339 (0.329) Data 0.000 (0.003) Loss 1.3133 (1.3375) Prec@1 69.531 (68.904) Prec@5 86.719 (87.193) Epoch: [83][1200/10010] Time 0.324 (0.329) Data 0.000 (0.003) Loss 1.0369 (1.3371) Prec@1 71.875 (68.901) Prec@5 94.531 (87.200) Epoch: [83][1210/10010] Time 0.334 (0.329) Data 0.001 (0.003) Loss 1.3250 (1.3379) Prec@1 65.625 (68.891) Prec@5 88.281 (87.188) Epoch: [83][1220/10010] Time 0.323 (0.329) Data 0.001 (0.003) Loss 1.7133 (1.3380) Prec@1 60.156 (68.876) Prec@5 79.688 (87.195) Epoch: [83][1230/10010] Time 0.326 (0.329) Data 0.001 (0.003) Loss 1.6105 (1.3382) Prec@1 64.062 (68.878) Prec@5 81.250 (87.191) Epoch: [83][1240/10010] Time 0.320 (0.329) Data 0.000 (0.003) Loss 1.6608 (1.3385) Prec@1 64.062 (68.871) Prec@5 79.688 (87.192) Epoch: [83][1250/10010] Time 0.331 (0.329) Data 0.001 (0.003) Loss 1.3637 (1.3393) Prec@1 64.844 (68.859) Prec@5 85.156 (87.183) Epoch: [83][1260/10010] Time 0.312 (0.329) Data 0.001 (0.003) Loss 1.3325 (1.3393) Prec@1 68.750 (68.856) Prec@5 86.719 (87.185) Epoch: [83][1270/10010] Time 0.337 (0.329) Data 0.001 (0.003) Loss 1.3162 (1.3394) Prec@1 69.531 (68.843) Prec@5 86.719 (87.185) Epoch: [83][1280/10010] Time 0.319 (0.329) Data 0.001 (0.003) Loss 1.5513 (1.3397) Prec@1 60.938 (68.829) Prec@5 87.500 (87.191) Epoch: [83][1290/10010] Time 0.333 (0.329) Data 0.000 (0.003) Loss 1.4349 (1.3395) Prec@1 64.844 (68.835) Prec@5 89.844 (87.202) Epoch: [83][1300/10010] Time 0.326 (0.329) Data 0.001 (0.003) Loss 1.4271 (1.3398) Prec@1 64.062 (68.828) Prec@5 85.938 (87.199) Epoch: [83][1310/10010] Time 0.326 (0.329) Data 0.000 (0.003) Loss 1.2961 (1.3406) Prec@1 69.531 (68.821) Prec@5 88.281 (87.187) Epoch: [83][1320/10010] Time 0.330 (0.329) Data 0.001 (0.003) Loss 1.3565 (1.3403) Prec@1 66.406 (68.834) Prec@5 86.719 (87.185) Epoch: [83][1330/10010] Time 0.331 (0.329) Data 0.001 (0.003) Loss 1.3313 (1.3399) Prec@1 68.750 (68.849) Prec@5 87.500 (87.196) Epoch: [83][1340/10010] Time 0.332 (0.329) Data 0.001 (0.003) Loss 1.5932 (1.3399) Prec@1 65.625 (68.853) Prec@5 85.156 (87.199) Epoch: [83][1350/10010] Time 0.323 (0.329) Data 0.000 (0.003) Loss 1.3168 (1.3403) Prec@1 66.406 (68.844) Prec@5 86.719 (87.189) Epoch: [83][1360/10010] Time 0.333 (0.329) Data 0.001 (0.003) Loss 0.9818 (1.3389) Prec@1 75.000 (68.870) Prec@5 91.406 (87.211) Epoch: [83][1370/10010] Time 0.336 (0.329) Data 0.001 (0.003) Loss 1.6537 (1.3400) Prec@1 62.500 (68.854) Prec@5 82.031 (87.196) Epoch: [83][1380/10010] Time 0.317 (0.329) Data 0.001 (0.003) Loss 1.5053 (1.3401) Prec@1 66.406 (68.854) Prec@5 84.375 (87.187) Epoch: [83][1390/10010] Time 0.326 (0.329) Data 0.001 (0.003) Loss 1.4438 (1.3400) Prec@1 65.625 (68.846) Prec@5 85.156 (87.191) Epoch: [83][1400/10010] Time 0.318 (0.329) Data 0.001 (0.003) Loss 1.3444 (1.3400) Prec@1 71.094 (68.858) Prec@5 89.062 (87.189) Epoch: [83][1410/10010] Time 0.337 (0.329) Data 0.000 (0.002) Loss 1.3761 (1.3403) Prec@1 71.094 (68.854) Prec@5 85.938 (87.187) Epoch: [83][1420/10010] Time 0.330 (0.329) Data 0.001 (0.002) Loss 1.4892 (1.3404) Prec@1 67.188 (68.849) Prec@5 87.500 (87.186) Epoch: [83][1430/10010] Time 0.337 (0.329) Data 0.001 (0.002) Loss 1.4647 (1.3403) Prec@1 64.844 (68.854) Prec@5 87.500 (87.181) Epoch: [83][1440/10010] Time 0.321 (0.329) Data 0.001 (0.002) Loss 1.1040 (1.3396) Prec@1 77.344 (68.870) Prec@5 90.625 (87.193) Epoch: [83][1450/10010] Time 0.316 (0.329) Data 0.001 (0.002) Loss 1.4714 (1.3395) Prec@1 65.625 (68.863) Prec@5 85.156 (87.196) Epoch: [83][1460/10010] Time 0.331 (0.329) Data 0.000 (0.002) Loss 1.3321 (1.3404) Prec@1 66.406 (68.845) Prec@5 89.062 (87.181) Epoch: [83][1470/10010] Time 0.333 (0.329) Data 0.001 (0.002) Loss 1.1963 (1.3402) Prec@1 74.219 (68.854) Prec@5 90.625 (87.181) Epoch: [83][1480/10010] Time 0.318 (0.329) Data 0.000 (0.002) Loss 1.6497 (1.3396) Prec@1 60.156 (68.869) Prec@5 83.594 (87.188) Epoch: [83][1490/10010] Time 0.324 (0.329) Data 0.000 (0.002) Loss 0.8950 (1.3393) Prec@1 78.906 (68.878) Prec@5 91.406 (87.192) Epoch: [83][1500/10010] Time 0.316 (0.328) Data 0.000 (0.002) Loss 1.2795 (1.3390) Prec@1 71.094 (68.881) Prec@5 89.062 (87.198) Epoch: [83][1510/10010] Time 0.338 (0.328) Data 0.001 (0.002) Loss 1.2777 (1.3393) Prec@1 69.531 (68.867) Prec@5 86.719 (87.191) Epoch: [83][1520/10010] Time 0.342 (0.328) Data 0.000 (0.002) Loss 0.8807 (1.3387) Prec@1 78.906 (68.880) Prec@5 92.188 (87.194) Epoch: [83][1530/10010] Time 0.325 (0.328) Data 0.000 (0.002) Loss 1.2754 (1.3382) Prec@1 68.750 (68.890) Prec@5 89.844 (87.206) Epoch: [83][1540/10010] Time 0.343 (0.328) Data 0.000 (0.002) Loss 1.2108 (1.3384) Prec@1 68.750 (68.884) Prec@5 86.719 (87.202) Epoch: [83][1550/10010] Time 0.335 (0.328) Data 0.000 (0.002) Loss 1.2192 (1.3380) Prec@1 69.531 (68.879) Prec@5 88.281 (87.205) Epoch: [83][1560/10010] Time 0.335 (0.328) Data 0.001 (0.002) Loss 1.3702 (1.3380) Prec@1 70.312 (68.883) Prec@5 84.375 (87.204) Epoch: [83][1570/10010] Time 0.329 (0.328) Data 0.000 (0.002) Loss 1.2508 (1.3374) Prec@1 75.000 (68.898) Prec@5 89.062 (87.215) Epoch: [83][1580/10010] Time 0.316 (0.328) Data 0.001 (0.002) Loss 1.3094 (1.3377) Prec@1 70.312 (68.907) Prec@5 88.281 (87.209) Epoch: [83][1590/10010] Time 0.335 (0.328) Data 0.001 (0.002) Loss 1.0039 (1.3380) Prec@1 79.688 (68.898) Prec@5 90.625 (87.202) Epoch: [83][1600/10010] Time 0.318 (0.328) Data 0.001 (0.002) Loss 1.3797 (1.3382) Prec@1 69.531 (68.892) Prec@5 85.938 (87.202) Epoch: [83][1610/10010] Time 0.334 (0.328) Data 0.000 (0.002) Loss 0.9831 (1.3381) Prec@1 75.781 (68.895) Prec@5 93.750 (87.204) Epoch: [83][1620/10010] Time 0.318 (0.328) Data 0.001 (0.002) Loss 1.2584 (1.3378) Prec@1 73.438 (68.901) Prec@5 89.062 (87.207) Epoch: [83][1630/10010] Time 0.331 (0.328) Data 0.000 (0.002) Loss 1.4042 (1.3377) Prec@1 68.750 (68.905) Prec@5 88.281 (87.207) Epoch: [83][1640/10010] Time 0.320 (0.328) Data 0.001 (0.002) Loss 1.2561 (1.3376) Prec@1 70.312 (68.898) Prec@5 89.062 (87.208) Epoch: [83][1650/10010] Time 0.335 (0.328) Data 0.001 (0.002) Loss 1.2571 (1.3374) Prec@1 69.531 (68.901) Prec@5 88.281 (87.217) Epoch: [83][1660/10010] Time 0.321 (0.328) Data 0.000 (0.002) Loss 1.3425 (1.3375) Prec@1 67.188 (68.896) Prec@5 89.062 (87.218) Epoch: [83][1670/10010] Time 0.317 (0.328) Data 0.001 (0.002) Loss 1.3294 (1.3376) Prec@1 67.969 (68.892) Prec@5 86.719 (87.218) Epoch: [83][1680/10010] Time 0.332 (0.328) Data 0.001 (0.002) Loss 1.1794 (1.3373) Prec@1 71.094 (68.890) Prec@5 86.719 (87.219) Epoch: [83][1690/10010] Time 0.328 (0.328) Data 0.001 (0.002) Loss 1.3452 (1.3378) Prec@1 65.625 (68.883) Prec@5 86.719 (87.214) Epoch: [83][1700/10010] Time 0.321 (0.328) Data 0.000 (0.002) Loss 1.7293 (1.3386) Prec@1 60.156 (68.868) Prec@5 78.906 (87.200) Epoch: [83][1710/10010] Time 0.317 (0.328) Data 0.001 (0.002) Loss 1.4327 (1.3389) Prec@1 67.969 (68.867) Prec@5 85.156 (87.192) Epoch: [83][1720/10010] Time 0.336 (0.328) Data 0.000 (0.002) Loss 1.2822 (1.3388) Prec@1 71.875 (68.862) Prec@5 86.719 (87.191) Epoch: [83][1730/10010] Time 0.334 (0.328) Data 0.000 (0.002) Loss 1.4477 (1.3386) Prec@1 67.188 (68.867) Prec@5 82.031 (87.193) Epoch: [83][1740/10010] Time 0.332 (0.328) Data 0.000 (0.002) Loss 1.4098 (1.3387) Prec@1 65.625 (68.860) Prec@5 86.719 (87.190) Epoch: [83][1750/10010] Time 0.319 (0.328) Data 0.001 (0.002) Loss 1.0981 (1.3387) Prec@1 72.656 (68.870) Prec@5 90.625 (87.189) Epoch: [83][1760/10010] Time 0.342 (0.328) Data 0.000 (0.002) Loss 1.5232 (1.3388) Prec@1 65.625 (68.865) Prec@5 84.375 (87.185) Epoch: [83][1770/10010] Time 0.319 (0.328) Data 0.001 (0.002) Loss 1.4534 (1.3392) Prec@1 64.844 (68.858) Prec@5 85.156 (87.183) Epoch: [83][1780/10010] Time 0.340 (0.328) Data 0.001 (0.002) Loss 1.2971 (1.3386) Prec@1 69.531 (68.875) Prec@5 89.844 (87.188) Epoch: [83][1790/10010] Time 0.327 (0.328) Data 0.001 (0.002) Loss 1.2914 (1.3391) Prec@1 71.094 (68.865) Prec@5 85.938 (87.172) Epoch: [83][1800/10010] Time 0.329 (0.328) Data 0.000 (0.002) Loss 1.4384 (1.3391) Prec@1 70.312 (68.868) Prec@5 85.156 (87.171) Epoch: [83][1810/10010] Time 0.326 (0.328) Data 0.001 (0.002) Loss 1.1521 (1.3391) Prec@1 78.125 (68.877) Prec@5 89.844 (87.174) Epoch: [83][1820/10010] Time 0.322 (0.328) Data 0.000 (0.002) Loss 1.2371 (1.3387) Prec@1 70.312 (68.886) Prec@5 89.062 (87.174) Epoch: [83][1830/10010] Time 0.320 (0.328) Data 0.001 (0.002) Loss 1.6510 (1.3387) Prec@1 63.281 (68.886) Prec@5 81.250 (87.176) Epoch: [83][1840/10010] Time 0.333 (0.328) Data 0.001 (0.002) Loss 1.3909 (1.3390) Prec@1 67.188 (68.883) Prec@5 86.719 (87.172) Epoch: [83][1850/10010] Time 0.340 (0.328) Data 0.000 (0.002) Loss 1.6275 (1.3391) Prec@1 64.844 (68.883) Prec@5 85.938 (87.170) Epoch: [83][1860/10010] Time 0.334 (0.328) Data 0.001 (0.002) Loss 1.4757 (1.3395) Prec@1 66.406 (68.871) Prec@5 87.500 (87.162) Epoch: [83][1870/10010] Time 0.324 (0.328) Data 0.000 (0.002) Loss 1.1690 (1.3392) Prec@1 73.438 (68.871) Prec@5 91.406 (87.169) Epoch: [83][1880/10010] Time 0.340 (0.328) Data 0.001 (0.002) Loss 1.3283 (1.3398) Prec@1 71.094 (68.859) Prec@5 85.938 (87.159) Epoch: [83][1890/10010] Time 0.340 (0.328) Data 0.001 (0.002) Loss 1.1403 (1.3397) Prec@1 80.469 (68.859) Prec@5 88.281 (87.161) Epoch: [83][1900/10010] Time 0.337 (0.328) Data 0.000 (0.002) Loss 1.3805 (1.3396) Prec@1 66.406 (68.864) Prec@5 87.500 (87.167) Epoch: [83][1910/10010] Time 0.341 (0.328) Data 0.000 (0.002) Loss 1.1299 (1.3398) Prec@1 76.562 (68.864) Prec@5 92.188 (87.161) Epoch: [83][1920/10010] Time 0.320 (0.328) Data 0.000 (0.002) Loss 1.3841 (1.3399) Prec@1 71.094 (68.870) Prec@5 86.719 (87.161) Epoch: [83][1930/10010] Time 0.317 (0.328) Data 0.000 (0.002) Loss 1.0889 (1.3400) Prec@1 74.219 (68.864) Prec@5 88.281 (87.158) Epoch: [83][1940/10010] Time 0.336 (0.328) Data 0.000 (0.002) Loss 1.3740 (1.3399) Prec@1 73.438 (68.862) Prec@5 85.938 (87.159) Epoch: [83][1950/10010] Time 0.336 (0.328) Data 0.000 (0.002) Loss 1.0707 (1.3396) Prec@1 74.219 (68.871) Prec@5 89.844 (87.158) Epoch: [83][1960/10010] Time 0.332 (0.328) Data 0.001 (0.002) Loss 1.3705 (1.3392) Prec@1 67.969 (68.885) Prec@5 83.594 (87.161) Epoch: [83][1970/10010] Time 0.340 (0.328) Data 0.000 (0.002) Loss 1.2686 (1.3394) Prec@1 68.750 (68.874) Prec@5 89.062 (87.156) Epoch: [83][1980/10010] Time 0.341 (0.328) Data 0.000 (0.002) Loss 1.3602 (1.3397) Prec@1 67.969 (68.868) Prec@5 84.375 (87.153) Epoch: [83][1990/10010] Time 0.342 (0.328) Data 0.001 (0.002) Loss 1.4840 (1.3398) Prec@1 64.844 (68.870) Prec@5 83.594 (87.155) Epoch: [83][2000/10010] Time 0.340 (0.329) Data 0.001 (0.002) Loss 1.4144 (1.3399) Prec@1 63.281 (68.869) Prec@5 85.938 (87.151) Epoch: [83][2010/10010] Time 0.318 (0.328) Data 0.000 (0.002) Loss 1.6106 (1.3407) Prec@1 59.375 (68.851) Prec@5 85.938 (87.145) Epoch: [83][2020/10010] Time 0.340 (0.328) Data 0.001 (0.002) Loss 1.3478 (1.3404) Prec@1 64.844 (68.856) Prec@5 90.625 (87.154) Epoch: [83][2030/10010] Time 0.320 (0.328) Data 0.000 (0.002) Loss 1.4634 (1.3406) Prec@1 66.406 (68.851) Prec@5 83.594 (87.146) Epoch: [83][2040/10010] Time 0.316 (0.328) Data 0.001 (0.002) Loss 1.2051 (1.3409) Prec@1 71.875 (68.845) Prec@5 86.719 (87.141) Epoch: [83][2050/10010] Time 0.317 (0.328) Data 0.000 (0.002) Loss 1.3892 (1.3409) Prec@1 68.750 (68.846) Prec@5 87.500 (87.141) Epoch: [83][2060/10010] Time 0.318 (0.328) Data 0.001 (0.002) Loss 1.1811 (1.3408) Prec@1 72.656 (68.849) Prec@5 88.281 (87.142) Epoch: [83][2070/10010] Time 0.345 (0.328) Data 0.001 (0.002) Loss 1.0630 (1.3407) Prec@1 75.000 (68.851) Prec@5 89.062 (87.144) Epoch: [83][2080/10010] Time 0.335 (0.328) Data 0.000 (0.002) Loss 1.2293 (1.3404) Prec@1 72.656 (68.857) Prec@5 88.281 (87.144) Epoch: [83][2090/10010] Time 0.331 (0.328) Data 0.001 (0.002) Loss 1.3135 (1.3402) Prec@1 71.094 (68.861) Prec@5 87.500 (87.152) Epoch: [83][2100/10010] Time 0.330 (0.328) Data 0.003 (0.002) Loss 1.2786 (1.3401) Prec@1 69.531 (68.865) Prec@5 88.281 (87.152) Epoch: [83][2110/10010] Time 0.331 (0.328) Data 0.001 (0.002) Loss 1.4544 (1.3402) Prec@1 61.719 (68.855) Prec@5 85.156 (87.150) Epoch: [83][2120/10010] Time 0.338 (0.328) Data 0.001 (0.002) Loss 1.2988 (1.3403) Prec@1 71.094 (68.843) Prec@5 84.375 (87.145) Epoch: [83][2130/10010] Time 0.338 (0.328) Data 0.000 (0.002) Loss 1.3470 (1.3401) Prec@1 69.531 (68.852) Prec@5 89.062 (87.146) Epoch: [83][2140/10010] Time 0.338 (0.328) Data 0.000 (0.002) Loss 1.4831 (1.3398) Prec@1 67.188 (68.860) Prec@5 82.031 (87.148) Epoch: [83][2150/10010] Time 0.329 (0.328) Data 0.000 (0.002) Loss 1.6138 (1.3399) Prec@1 59.375 (68.852) Prec@5 85.156 (87.150) Epoch: [83][2160/10010] Time 0.331 (0.328) Data 0.000 (0.002) Loss 1.0585 (1.3394) Prec@1 73.438 (68.864) Prec@5 91.406 (87.153) Epoch: [83][2170/10010] Time 0.336 (0.328) Data 0.000 (0.002) Loss 1.2970 (1.3393) Prec@1 71.094 (68.864) Prec@5 88.281 (87.157) Epoch: [83][2180/10010] Time 0.320 (0.328) Data 0.001 (0.002) Loss 1.3395 (1.3395) Prec@1 70.312 (68.859) Prec@5 86.719 (87.152) Epoch: [83][2190/10010] Time 0.333 (0.328) Data 0.001 (0.002) Loss 1.3067 (1.3394) Prec@1 70.312 (68.858) Prec@5 87.500 (87.155) /data/vision/torralba/deepscene/lib/anaconda2/lib/python2.7/site-packages/PIL/TiffImagePlugin.py:692: UserWarning: Possibly corrupt EXIF data. Expecting to read 2555904 bytes but only got 0. Skipping tag 0 "Skipping tag %s" % (size, len(data), tag)) Epoch: [83][2200/10010] Time 0.336 (0.328) Data 0.000 (0.002) Loss 1.1865 (1.3393) Prec@1 71.875 (68.858) Prec@5 89.844 (87.159) Epoch: [83][2210/10010] Time 0.318 (0.328) Data 0.000 (0.002) Loss 1.2707 (1.3386) Prec@1 70.312 (68.869) Prec@5 89.062 (87.168) Epoch: [83][2220/10010] Time 0.322 (0.328) Data 0.001 (0.002) Loss 1.2886 (1.3386) Prec@1 69.531 (68.868) Prec@5 85.156 (87.170) Epoch: [83][2230/10010] Time 0.320 (0.328) Data 0.000 (0.002) Loss 1.1560 (1.3387) Prec@1 71.094 (68.863) Prec@5 89.062 (87.170) Epoch: [83][2240/10010] Time 0.326 (0.328) Data 0.001 (0.002) Loss 1.3877 (1.3384) Prec@1 72.656 (68.874) Prec@5 85.938 (87.172) Epoch: [83][2250/10010] Time 0.343 (0.328) Data 0.000 (0.002) Loss 1.7419 (1.3385) Prec@1 60.156 (68.868) Prec@5 80.469 (87.169) Epoch: [83][2260/10010] Time 0.313 (0.328) Data 0.001 (0.002) Loss 1.3797 (1.3388) Prec@1 66.406 (68.862) Prec@5 85.156 (87.164) Epoch: [83][2270/10010] Time 0.322 (0.328) Data 0.001 (0.002) Loss 1.1782 (1.3386) Prec@1 71.875 (68.867) Prec@5 89.062 (87.170) Epoch: [83][2280/10010] Time 0.316 (0.328) Data 0.001 (0.002) Loss 1.2307 (1.3385) Prec@1 68.750 (68.870) Prec@5 89.062 (87.168) Epoch: [83][2290/10010] Time 0.328 (0.328) Data 0.000 (0.002) Loss 1.0513 (1.3382) Prec@1 72.656 (68.880) Prec@5 92.188 (87.174) Epoch: [83][2300/10010] Time 0.333 (0.328) Data 0.000 (0.002) Loss 1.2142 (1.3383) Prec@1 71.875 (68.878) Prec@5 87.500 (87.173) Epoch: [83][2310/10010] Time 0.332 (0.328) Data 0.001 (0.002) Loss 1.5548 (1.3384) Prec@1 67.188 (68.878) Prec@5 78.906 (87.170) Epoch: [83][2320/10010] Time 0.322 (0.328) Data 0.001 (0.002) Loss 1.2035 (1.3381) Prec@1 71.094 (68.886) Prec@5 89.062 (87.173) Epoch: [83][2330/10010] Time 0.322 (0.328) Data 0.000 (0.002) Loss 1.0996 (1.3380) Prec@1 75.781 (68.891) Prec@5 89.062 (87.172) Epoch: [83][2340/10010] Time 0.320 (0.328) Data 0.001 (0.002) Loss 1.5120 (1.3384) Prec@1 63.281 (68.880) Prec@5 89.062 (87.165) Epoch: [83][2350/10010] Time 0.318 (0.328) Data 0.001 (0.002) Loss 1.4584 (1.3383) Prec@1 65.625 (68.885) Prec@5 85.156 (87.168) Epoch: [83][2360/10010] Time 0.332 (0.328) Data 0.001 (0.002) Loss 1.4837 (1.3389) Prec@1 61.719 (68.869) Prec@5 84.375 (87.161) Epoch: [83][2370/10010] Time 0.330 (0.328) Data 0.000 (0.002) Loss 1.4609 (1.3388) Prec@1 71.875 (68.872) Prec@5 82.812 (87.161) Epoch: [83][2380/10010] Time 0.322 (0.328) Data 0.001 (0.002) Loss 1.3775 (1.3388) Prec@1 70.312 (68.868) Prec@5 85.938 (87.161) Epoch: [83][2390/10010] Time 0.339 (0.328) Data 0.000 (0.002) Loss 1.3352 (1.3386) Prec@1 67.188 (68.874) Prec@5 87.500 (87.166) Epoch: [83][2400/10010] Time 0.324 (0.328) Data 0.001 (0.002) Loss 1.5564 (1.3386) Prec@1 63.281 (68.873) Prec@5 85.156 (87.166) Epoch: [83][2410/10010] Time 0.325 (0.328) Data 0.001 (0.002) Loss 1.5360 (1.3391) Prec@1 63.281 (68.862) Prec@5 82.031 (87.154) Epoch: [83][2420/10010] Time 0.337 (0.328) Data 0.000 (0.002) Loss 1.1635 (1.3394) Prec@1 74.219 (68.855) Prec@5 89.062 (87.149) Epoch: [83][2430/10010] Time 0.320 (0.328) Data 0.000 (0.002) Loss 1.0826 (1.3393) Prec@1 71.875 (68.857) Prec@5 91.406 (87.149) Epoch: [83][2440/10010] Time 0.329 (0.328) Data 0.001 (0.002) Loss 1.1374 (1.3394) Prec@1 66.406 (68.851) Prec@5 89.844 (87.145) Epoch: [83][2450/10010] Time 0.342 (0.328) Data 0.001 (0.002) Loss 1.3713 (1.3396) Prec@1 67.969 (68.844) Prec@5 85.156 (87.136) Epoch: [83][2460/10010] Time 0.328 (0.328) Data 0.001 (0.002) Loss 1.2485 (1.3398) Prec@1 71.875 (68.843) Prec@5 89.844 (87.130) Epoch: [83][2470/10010] Time 0.323 (0.328) Data 0.001 (0.002) Loss 1.4618 (1.3398) Prec@1 60.938 (68.838) Prec@5 82.812 (87.131) Epoch: [83][2480/10010] Time 0.338 (0.328) Data 0.000 (0.002) Loss 1.3146 (1.3398) Prec@1 68.750 (68.841) Prec@5 89.062 (87.128) Epoch: [83][2490/10010] Time 0.313 (0.328) Data 0.001 (0.002) Loss 1.2844 (1.3400) Prec@1 68.750 (68.836) Prec@5 88.281 (87.126) Epoch: [83][2500/10010] Time 0.318 (0.328) Data 0.001 (0.002) Loss 1.4560 (1.3402) Prec@1 64.844 (68.828) Prec@5 82.812 (87.123) Epoch: [83][2510/10010] Time 0.319 (0.328) Data 0.000 (0.002) Loss 1.3248 (1.3403) Prec@1 65.625 (68.830) Prec@5 85.938 (87.119) Epoch: [83][2520/10010] Time 0.323 (0.328) Data 0.000 (0.002) Loss 1.4748 (1.3400) Prec@1 64.844 (68.835) Prec@5 88.281 (87.126) Epoch: [83][2530/10010] Time 0.319 (0.328) Data 0.000 (0.002) Loss 1.5303 (1.3402) Prec@1 60.938 (68.829) Prec@5 84.375 (87.122) Epoch: [83][2540/10010] Time 0.329 (0.328) Data 0.001 (0.002) Loss 1.6216 (1.3401) Prec@1 65.625 (68.826) Prec@5 83.594 (87.122) Epoch: [83][2550/10010] Time 0.336 (0.328) Data 0.001 (0.002) Loss 1.5561 (1.3402) Prec@1 57.031 (68.821) Prec@5 82.031 (87.122) Epoch: [83][2560/10010] Time 0.324 (0.328) Data 0.000 (0.002) Loss 1.5503 (1.3404) Prec@1 66.406 (68.817) Prec@5 80.469 (87.117) Epoch: [83][2570/10010] Time 0.314 (0.328) Data 0.001 (0.002) Loss 1.4815 (1.3405) Prec@1 70.312 (68.815) Prec@5 85.156 (87.112) Epoch: [83][2580/10010] Time 0.318 (0.328) Data 0.001 (0.002) Loss 1.1593 (1.3406) Prec@1 71.094 (68.812) Prec@5 89.844 (87.113) Epoch: [83][2590/10010] Time 0.315 (0.328) Data 0.001 (0.002) Loss 1.4583 (1.3406) Prec@1 64.844 (68.808) Prec@5 83.594 (87.114) Epoch: [83][2600/10010] Time 0.321 (0.328) Data 0.000 (0.002) Loss 1.4508 (1.3406) Prec@1 64.062 (68.803) Prec@5 85.938 (87.117) Epoch: [83][2610/10010] Time 0.327 (0.328) Data 0.001 (0.002) Loss 1.3891 (1.3404) Prec@1 67.188 (68.803) Prec@5 88.281 (87.124) Epoch: [83][2620/10010] Time 0.322 (0.328) Data 0.001 (0.002) Loss 1.1945 (1.3403) Prec@1 71.094 (68.809) Prec@5 91.406 (87.125) Epoch: [83][2630/10010] Time 0.319 (0.328) Data 0.000 (0.002) Loss 1.4293 (1.3404) Prec@1 65.625 (68.803) Prec@5 84.375 (87.127) Epoch: [83][2640/10010] Time 0.316 (0.328) Data 0.001 (0.002) Loss 1.4404 (1.3405) Prec@1 63.281 (68.797) Prec@5 86.719 (87.125) Epoch: [83][2650/10010] Time 0.321 (0.328) Data 0.001 (0.002) Loss 1.7310 (1.3406) Prec@1 67.969 (68.798) Prec@5 80.469 (87.124) Epoch: [83][2660/10010] Time 0.338 (0.328) Data 0.001 (0.002) Loss 1.4266 (1.3409) Prec@1 67.969 (68.791) Prec@5 87.500 (87.118) Epoch: [83][2670/10010] Time 0.338 (0.328) Data 0.001 (0.002) Loss 1.3148 (1.3409) Prec@1 73.438 (68.791) Prec@5 84.375 (87.119) Epoch: [83][2680/10010] Time 0.340 (0.328) Data 0.000 (0.002) Loss 1.0739 (1.3408) Prec@1 76.562 (68.790) Prec@5 90.625 (87.118) Epoch: [83][2690/10010] Time 0.327 (0.328) Data 0.001 (0.002) Loss 1.0682 (1.3409) Prec@1 75.781 (68.793) Prec@5 89.844 (87.116) Epoch: [83][2700/10010] Time 0.320 (0.328) Data 0.001 (0.002) Loss 1.6387 (1.3409) Prec@1 60.938 (68.795) Prec@5 82.812 (87.118) Epoch: [83][2710/10010] Time 0.337 (0.328) Data 0.000 (0.002) Loss 1.4650 (1.3412) Prec@1 66.406 (68.790) Prec@5 82.812 (87.112) Epoch: [83][2720/10010] Time 0.317 (0.328) Data 0.001 (0.002) Loss 1.2688 (1.3412) Prec@1 72.656 (68.792) Prec@5 88.281 (87.114) Epoch: [83][2730/10010] Time 0.325 (0.328) Data 0.001 (0.002) Loss 1.2154 (1.3413) Prec@1 72.656 (68.789) Prec@5 92.188 (87.110) Epoch: [83][2740/10010] Time 0.318 (0.328) Data 0.000 (0.002) Loss 1.5029 (1.3413) Prec@1 66.406 (68.787) Prec@5 85.938 (87.113) Epoch: [83][2750/10010] Time 0.334 (0.328) Data 0.000 (0.002) Loss 1.5681 (1.3414) Prec@1 60.156 (68.787) Prec@5 82.031 (87.110) Epoch: [83][2760/10010] Time 0.335 (0.328) Data 0.001 (0.002) Loss 1.2654 (1.3417) Prec@1 71.875 (68.783) Prec@5 86.719 (87.108) Epoch: [83][2770/10010] Time 0.322 (0.328) Data 0.001 (0.002) Loss 1.2149 (1.3421) Prec@1 71.875 (68.775) Prec@5 89.062 (87.103) Epoch: [83][2780/10010] Time 0.333 (0.328) Data 0.001 (0.002) Loss 1.1468 (1.3422) Prec@1 70.312 (68.772) Prec@5 90.625 (87.103) Epoch: [83][2790/10010] Time 0.319 (0.328) Data 0.001 (0.002) Loss 1.3482 (1.3423) Prec@1 72.656 (68.768) Prec@5 85.938 (87.101) Epoch: [83][2800/10010] Time 0.335 (0.328) Data 0.001 (0.002) Loss 1.3320 (1.3422) Prec@1 67.188 (68.770) Prec@5 87.500 (87.101) Epoch: [83][2810/10010] Time 0.316 (0.328) Data 0.001 (0.002) Loss 1.3815 (1.3422) Prec@1 70.312 (68.772) Prec@5 84.375 (87.099) Epoch: [83][2820/10010] Time 0.341 (0.328) Data 0.001 (0.002) Loss 1.5023 (1.3423) Prec@1 60.938 (68.764) Prec@5 84.375 (87.100) Epoch: [83][2830/10010] Time 0.315 (0.328) Data 0.001 (0.002) Loss 1.3753 (1.3424) Prec@1 67.188 (68.764) Prec@5 84.375 (87.094) Epoch: [83][2840/10010] Time 0.322 (0.328) Data 0.000 (0.002) Loss 1.3164 (1.3427) Prec@1 68.750 (68.763) Prec@5 87.500 (87.087) Epoch: [83][2850/10010] Time 0.316 (0.328) Data 0.000 (0.002) Loss 1.6020 (1.3431) Prec@1 65.625 (68.755) Prec@5 81.250 (87.081) Epoch: [83][2860/10010] Time 0.338 (0.328) Data 0.001 (0.002) Loss 1.2790 (1.3431) Prec@1 65.625 (68.757) Prec@5 90.625 (87.083) Epoch: [83][2870/10010] Time 0.322 (0.328) Data 0.001 (0.002) Loss 1.4127 (1.3433) Prec@1 65.625 (68.747) Prec@5 83.594 (87.077) Epoch: [83][2880/10010] Time 0.319 (0.328) Data 0.000 (0.002) Loss 1.4013 (1.3432) Prec@1 67.188 (68.749) Prec@5 87.500 (87.077) Epoch: [83][2890/10010] Time 0.340 (0.328) Data 0.000 (0.002) Loss 1.4149 (1.3434) Prec@1 67.969 (68.746) Prec@5 85.156 (87.075) Epoch: [83][2900/10010] Time 0.311 (0.328) Data 0.001 (0.002) Loss 1.3862 (1.3437) Prec@1 67.188 (68.740) Prec@5 87.500 (87.074) Epoch: [83][2910/10010] Time 0.338 (0.328) Data 0.001 (0.002) Loss 1.3685 (1.3441) Prec@1 64.844 (68.731) Prec@5 92.188 (87.071) Epoch: [83][2920/10010] Time 0.321 (0.328) Data 0.001 (0.002) Loss 1.4787 (1.3442) Prec@1 63.281 (68.729) Prec@5 85.938 (87.068) Epoch: [83][2930/10010] Time 0.323 (0.328) Data 0.000 (0.002) Loss 1.1168 (1.3441) Prec@1 71.094 (68.731) Prec@5 89.062 (87.064) Epoch: [83][2940/10010] Time 0.327 (0.328) Data 0.000 (0.002) Loss 1.4131 (1.3440) Prec@1 64.844 (68.736) Prec@5 85.938 (87.064) Epoch: [83][2950/10010] Time 0.322 (0.328) Data 0.001 (0.002) Loss 1.2834 (1.3437) Prec@1 66.406 (68.735) Prec@5 89.062 (87.070) Epoch: [83][2960/10010] Time 0.333 (0.328) Data 0.001 (0.002) Loss 1.1279 (1.3433) Prec@1 70.312 (68.742) Prec@5 89.062 (87.077) Epoch: [83][2970/10010] Time 0.318 (0.328) Data 0.001 (0.002) Loss 1.3279 (1.3431) Prec@1 71.094 (68.746) Prec@5 89.844 (87.081) Epoch: [83][2980/10010] Time 0.337 (0.328) Data 0.001 (0.002) Loss 1.3864 (1.3432) Prec@1 69.531 (68.744) Prec@5 83.594 (87.078) Epoch: [83][2990/10010] Time 0.334 (0.328) Data 0.000 (0.002) Loss 1.3615 (1.3432) Prec@1 69.531 (68.738) Prec@5 88.281 (87.080) Epoch: [83][3000/10010] Time 0.336 (0.328) Data 0.000 (0.002) Loss 0.9666 (1.3429) Prec@1 76.562 (68.747) Prec@5 92.188 (87.079) Epoch: [83][3010/10010] Time 0.325 (0.328) Data 0.000 (0.002) Loss 1.5016 (1.3427) Prec@1 68.750 (68.754) Prec@5 83.594 (87.085) Epoch: [83][3020/10010] Time 0.335 (0.328) Data 0.000 (0.002) Loss 1.2015 (1.3427) Prec@1 71.094 (68.752) Prec@5 88.281 (87.086) Epoch: [83][3030/10010] Time 0.328 (0.328) Data 0.001 (0.002) Loss 1.4531 (1.3425) Prec@1 67.969 (68.757) Prec@5 84.375 (87.087) Epoch: [83][3040/10010] Time 0.336 (0.328) Data 0.001 (0.002) Loss 1.7079 (1.3427) Prec@1 60.156 (68.754) Prec@5 82.812 (87.083) Epoch: [83][3050/10010] Time 0.320 (0.328) Data 0.000 (0.001) Loss 1.6812 (1.3431) Prec@1 60.938 (68.745) Prec@5 80.469 (87.079) Epoch: [83][3060/10010] Time 0.336 (0.328) Data 0.001 (0.001) Loss 1.6008 (1.3433) Prec@1 64.062 (68.741) Prec@5 82.812 (87.079) Epoch: [83][3070/10010] Time 0.336 (0.328) Data 0.001 (0.001) Loss 1.3865 (1.3434) Prec@1 64.844 (68.737) Prec@5 87.500 (87.078) Epoch: [83][3080/10010] Time 0.342 (0.328) Data 0.001 (0.001) Loss 1.2620 (1.3436) Prec@1 67.969 (68.736) Prec@5 89.062 (87.074) Epoch: [83][3090/10010] Time 0.331 (0.328) Data 0.001 (0.001) Loss 1.5195 (1.3437) Prec@1 64.844 (68.734) Prec@5 86.719 (87.074) Epoch: [83][3100/10010] Time 0.324 (0.328) Data 0.000 (0.001) Loss 1.2282 (1.3433) Prec@1 75.781 (68.742) Prec@5 89.062 (87.079) Epoch: [83][3110/10010] Time 0.318 (0.328) Data 0.000 (0.001) Loss 1.0405 (1.3433) Prec@1 73.438 (68.742) Prec@5 92.188 (87.078) Epoch: [83][3120/10010] Time 0.320 (0.328) Data 0.001 (0.001) Loss 1.4083 (1.3432) Prec@1 64.062 (68.744) Prec@5 85.938 (87.077) Epoch: [83][3130/10010] Time 0.333 (0.328) Data 0.001 (0.001) Loss 1.5107 (1.3432) Prec@1 67.969 (68.747) Prec@5 84.375 (87.079) Epoch: [83][3140/10010] Time 0.322 (0.328) Data 0.001 (0.001) Loss 1.3003 (1.3434) Prec@1 71.094 (68.744) Prec@5 86.719 (87.075) Epoch: [83][3150/10010] Time 0.327 (0.328) Data 0.001 (0.001) Loss 1.2226 (1.3435) Prec@1 70.312 (68.743) Prec@5 86.719 (87.075) Epoch: [83][3160/10010] Time 0.336 (0.328) Data 0.001 (0.001) Loss 1.3420 (1.3435) Prec@1 68.750 (68.739) Prec@5 86.719 (87.073) Epoch: [83][3170/10010] Time 0.320 (0.328) Data 0.000 (0.001) Loss 1.4365 (1.3431) Prec@1 65.625 (68.747) Prec@5 85.938 (87.078) Epoch: [83][3180/10010] Time 0.344 (0.328) Data 0.001 (0.001) Loss 1.4710 (1.3431) Prec@1 68.750 (68.748) Prec@5 83.594 (87.078) Epoch: [83][3190/10010] Time 0.335 (0.328) Data 0.000 (0.001) Loss 1.1280 (1.3430) Prec@1 74.219 (68.752) Prec@5 87.500 (87.079) Epoch: [83][3200/10010] Time 0.330 (0.328) Data 0.000 (0.001) Loss 1.4914 (1.3432) Prec@1 71.094 (68.750) Prec@5 80.469 (87.074) Epoch: [83][3210/10010] Time 0.323 (0.328) Data 0.000 (0.001) Loss 1.1754 (1.3432) Prec@1 75.000 (68.749) Prec@5 91.406 (87.076) Epoch: [83][3220/10010] Time 0.312 (0.328) Data 0.000 (0.001) Loss 1.2653 (1.3431) Prec@1 72.656 (68.752) Prec@5 86.719 (87.076) Epoch: [83][3230/10010] Time 0.321 (0.328) Data 0.000 (0.001) Loss 1.4500 (1.3436) Prec@1 64.844 (68.741) Prec@5 87.500 (87.071) Epoch: [83][3240/10010] Time 0.320 (0.328) Data 0.000 (0.001) Loss 1.4803 (1.3433) Prec@1 69.531 (68.747) Prec@5 84.375 (87.076) Epoch: [83][3250/10010] Time 0.318 (0.328) Data 0.000 (0.001) Loss 1.5377 (1.3434) Prec@1 62.500 (68.749) Prec@5 83.594 (87.073) Epoch: [83][3260/10010] Time 0.335 (0.328) Data 0.001 (0.001) Loss 1.0480 (1.3432) Prec@1 72.656 (68.752) Prec@5 89.844 (87.074) Epoch: [83][3270/10010] Time 0.328 (0.328) Data 0.000 (0.001) Loss 1.6047 (1.3436) Prec@1 66.406 (68.746) Prec@5 83.594 (87.067) Epoch: [83][3280/10010] Time 0.335 (0.328) Data 0.001 (0.001) Loss 0.9817 (1.3435) Prec@1 78.125 (68.750) Prec@5 90.625 (87.069) Epoch: [83][3290/10010] Time 0.321 (0.328) Data 0.000 (0.001) Loss 1.6461 (1.3438) Prec@1 62.500 (68.743) Prec@5 84.375 (87.064) Epoch: [83][3300/10010] Time 0.314 (0.328) Data 0.000 (0.001) Loss 1.3639 (1.3437) Prec@1 71.094 (68.740) Prec@5 85.938 (87.061) Epoch: [83][3310/10010] Time 0.310 (0.328) Data 0.000 (0.001) Loss 1.4154 (1.3438) Prec@1 67.969 (68.740) Prec@5 89.062 (87.062) Epoch: [83][3320/10010] Time 0.329 (0.328) Data 0.001 (0.001) Loss 1.0150 (1.3437) Prec@1 75.781 (68.739) Prec@5 91.406 (87.062) Epoch: [83][3330/10010] Time 0.321 (0.328) Data 0.001 (0.001) Loss 1.4835 (1.3438) Prec@1 71.094 (68.737) Prec@5 81.250 (87.062) Epoch: [83][3340/10010] Time 0.325 (0.328) Data 0.001 (0.001) Loss 1.2362 (1.3437) Prec@1 73.438 (68.741) Prec@5 87.500 (87.062) Epoch: [83][3350/10010] Time 0.321 (0.328) Data 0.001 (0.001) Loss 1.4295 (1.3438) Prec@1 69.531 (68.740) Prec@5 88.281 (87.063) Epoch: [83][3360/10010] Time 0.337 (0.328) Data 0.000 (0.001) Loss 1.3307 (1.3436) Prec@1 67.969 (68.744) Prec@5 88.281 (87.068) Epoch: [83][3370/10010] Time 0.318 (0.328) Data 0.001 (0.001) Loss 1.3738 (1.3437) Prec@1 71.875 (68.743) Prec@5 85.938 (87.067) Epoch: [83][3380/10010] Time 0.332 (0.328) Data 0.001 (0.001) Loss 0.9886 (1.3438) Prec@1 77.344 (68.740) Prec@5 90.625 (87.066) Epoch: [83][3390/10010] Time 0.317 (0.328) Data 0.001 (0.001) Loss 1.4179 (1.3438) Prec@1 71.094 (68.743) Prec@5 85.156 (87.065) Epoch: [83][3400/10010] Time 0.331 (0.328) Data 0.000 (0.001) Loss 1.1038 (1.3437) Prec@1 73.438 (68.744) Prec@5 92.188 (87.069) Epoch: [83][3410/10010] Time 0.323 (0.328) Data 0.001 (0.001) Loss 1.4810 (1.3437) Prec@1 67.188 (68.741) Prec@5 85.938 (87.071) Epoch: [83][3420/10010] Time 0.331 (0.328) Data 0.000 (0.001) Loss 1.3765 (1.3439) Prec@1 67.188 (68.738) Prec@5 87.500 (87.067) Epoch: [83][3430/10010] Time 0.324 (0.328) Data 0.001 (0.001) Loss 0.9967 (1.3440) Prec@1 73.438 (68.736) Prec@5 91.406 (87.066) Epoch: [83][3440/10010] Time 0.339 (0.328) Data 0.000 (0.001) Loss 1.2675 (1.3438) Prec@1 73.438 (68.740) Prec@5 85.938 (87.068) Epoch: [83][3450/10010] Time 0.328 (0.328) Data 0.001 (0.001) Loss 1.4426 (1.3440) Prec@1 67.188 (68.737) Prec@5 85.938 (87.065) Epoch: [83][3460/10010] Time 0.318 (0.328) Data 0.001 (0.001) Loss 1.2929 (1.3438) Prec@1 71.875 (68.738) Prec@5 88.281 (87.066) Epoch: [83][3470/10010] Time 0.323 (0.328) Data 0.001 (0.001) Loss 1.5255 (1.3441) Prec@1 60.156 (68.732) Prec@5 87.500 (87.064) Epoch: [83][3480/10010] Time 0.321 (0.328) Data 0.000 (0.001) Loss 1.2400 (1.3441) Prec@1 68.750 (68.730) Prec@5 87.500 (87.063) Epoch: [83][3490/10010] Time 0.332 (0.328) Data 0.001 (0.001) Loss 1.2799 (1.3441) Prec@1 71.875 (68.731) Prec@5 87.500 (87.066) Epoch: [83][3500/10010] Time 0.320 (0.328) Data 0.001 (0.001) Loss 1.4688 (1.3441) Prec@1 64.844 (68.728) Prec@5 85.156 (87.066) Epoch: [83][3510/10010] Time 0.340 (0.328) Data 0.000 (0.001) Loss 1.5150 (1.3440) Prec@1 67.188 (68.728) Prec@5 83.594 (87.069) Epoch: [83][3520/10010] Time 0.320 (0.328) Data 0.000 (0.001) Loss 1.5552 (1.3440) Prec@1 67.188 (68.729) Prec@5 81.250 (87.068) Epoch: [83][3530/10010] Time 0.328 (0.328) Data 0.001 (0.001) Loss 1.5770 (1.3440) Prec@1 64.844 (68.729) Prec@5 83.594 (87.070) Epoch: [83][3540/10010] Time 0.330 (0.328) Data 0.001 (0.001) Loss 1.3071 (1.3441) Prec@1 68.750 (68.726) Prec@5 87.500 (87.072) Epoch: [83][3550/10010] Time 0.338 (0.328) Data 0.000 (0.001) Loss 1.2150 (1.3439) Prec@1 65.625 (68.728) Prec@5 88.281 (87.075) Epoch: [83][3560/10010] Time 0.341 (0.328) Data 0.000 (0.001) Loss 1.2762 (1.3439) Prec@1 71.094 (68.726) Prec@5 88.281 (87.077) Epoch: [83][3570/10010] Time 0.329 (0.328) Data 0.001 (0.001) Loss 1.2636 (1.3439) Prec@1 71.094 (68.724) Prec@5 86.719 (87.079) Epoch: [83][3580/10010] Time 0.336 (0.328) Data 0.001 (0.001) Loss 1.4996 (1.3440) Prec@1 66.406 (68.727) Prec@5 86.719 (87.078) Epoch: [83][3590/10010] Time 0.335 (0.328) Data 0.001 (0.001) Loss 1.3476 (1.3438) Prec@1 65.625 (68.731) Prec@5 85.938 (87.078) Epoch: [83][3600/10010] Time 0.340 (0.328) Data 0.000 (0.001) Loss 1.4232 (1.3438) Prec@1 68.750 (68.729) Prec@5 88.281 (87.077) Epoch: [83][3610/10010] Time 0.320 (0.328) Data 0.001 (0.001) Loss 1.4421 (1.3440) Prec@1 61.719 (68.726) Prec@5 89.062 (87.074) Epoch: [83][3620/10010] Time 0.320 (0.328) Data 0.000 (0.001) Loss 1.3057 (1.3441) Prec@1 70.312 (68.727) Prec@5 86.719 (87.072) Epoch: [83][3630/10010] Time 0.322 (0.328) Data 0.000 (0.001) Loss 1.3767 (1.3441) Prec@1 71.875 (68.723) Prec@5 85.156 (87.072) Epoch: [83][3640/10010] Time 0.327 (0.328) Data 0.000 (0.001) Loss 1.2944 (1.3441) Prec@1 68.750 (68.719) Prec@5 89.062 (87.073) Epoch: [83][3650/10010] Time 0.326 (0.328) Data 0.000 (0.001) Loss 1.4835 (1.3438) Prec@1 67.188 (68.725) Prec@5 85.156 (87.077) Epoch: [83][3660/10010] Time 0.333 (0.328) Data 0.001 (0.001) Loss 1.3646 (1.3438) Prec@1 70.312 (68.727) Prec@5 85.938 (87.080) Epoch: [83][3670/10010] Time 0.321 (0.328) Data 0.000 (0.001) Loss 1.1582 (1.3436) Prec@1 73.438 (68.730) Prec@5 85.156 (87.080) Epoch: [83][3680/10010] Time 0.332 (0.328) Data 0.001 (0.001) Loss 1.2856 (1.3439) Prec@1 67.969 (68.727) Prec@5 85.156 (87.076) Epoch: [83][3690/10010] Time 0.336 (0.328) Data 0.001 (0.001) Loss 1.3306 (1.3437) Prec@1 70.312 (68.729) Prec@5 86.719 (87.079) Epoch: [83][3700/10010] Time 0.335 (0.328) Data 0.001 (0.001) Loss 1.3146 (1.3437) Prec@1 77.344 (68.731) Prec@5 89.844 (87.081) Epoch: [83][3710/10010] Time 0.334 (0.328) Data 0.001 (0.001) Loss 1.2279 (1.3436) Prec@1 69.531 (68.735) Prec@5 91.406 (87.084) Epoch: [83][3720/10010] Time 0.327 (0.328) Data 0.000 (0.001) Loss 1.4678 (1.3437) Prec@1 68.750 (68.734) Prec@5 86.719 (87.083) Epoch: [83][3730/10010] Time 0.323 (0.328) Data 0.001 (0.001) Loss 1.1876 (1.3436) Prec@1 72.656 (68.737) Prec@5 87.500 (87.085) Epoch: [83][3740/10010] Time 0.324 (0.328) Data 0.001 (0.001) Loss 1.3401 (1.3437) Prec@1 70.312 (68.738) Prec@5 88.281 (87.081) Epoch: [83][3750/10010] Time 0.320 (0.328) Data 0.000 (0.001) Loss 1.3037 (1.3437) Prec@1 71.094 (68.738) Prec@5 90.625 (87.081) Epoch: [83][3760/10010] Time 0.318 (0.328) Data 0.000 (0.001) Loss 1.1880 (1.3435) Prec@1 68.750 (68.739) Prec@5 89.844 (87.084) Epoch: [83][3770/10010] Time 0.331 (0.328) Data 0.001 (0.001) Loss 1.5617 (1.3434) Prec@1 64.844 (68.739) Prec@5 84.375 (87.085) Epoch: [83][3780/10010] Time 0.323 (0.328) Data 0.001 (0.001) Loss 1.1568 (1.3434) Prec@1 69.531 (68.734) Prec@5 89.844 (87.087) Epoch: [83][3790/10010] Time 0.319 (0.328) Data 0.001 (0.001) Loss 1.3345 (1.3435) Prec@1 61.719 (68.731) Prec@5 89.844 (87.089) Epoch: [83][3800/10010] Time 0.331 (0.328) Data 0.001 (0.001) Loss 1.5975 (1.3438) Prec@1 64.062 (68.726) Prec@5 80.469 (87.084) Epoch: [83][3810/10010] Time 0.328 (0.328) Data 0.001 (0.001) Loss 1.4296 (1.3438) Prec@1 64.062 (68.726) Prec@5 86.719 (87.084) Epoch: [83][3820/10010] Time 0.321 (0.328) Data 0.001 (0.001) Loss 1.2737 (1.3437) Prec@1 69.531 (68.726) Prec@5 88.281 (87.086) Epoch: [83][3830/10010] Time 0.336 (0.328) Data 0.000 (0.001) Loss 1.3129 (1.3436) Prec@1 75.781 (68.730) Prec@5 85.938 (87.088) Epoch: [83][3840/10010] Time 0.338 (0.328) Data 0.001 (0.001) Loss 1.3336 (1.3435) Prec@1 70.312 (68.727) Prec@5 88.281 (87.092) Epoch: [83][3850/10010] Time 0.340 (0.328) Data 0.001 (0.001) Loss 1.2640 (1.3436) Prec@1 71.875 (68.727) Prec@5 87.500 (87.092) Epoch: [83][3860/10010] Time 0.320 (0.328) Data 0.000 (0.001) Loss 1.5235 (1.3435) Prec@1 60.938 (68.726) Prec@5 83.594 (87.089) Epoch: [83][3870/10010] Time 0.333 (0.328) Data 0.001 (0.001) Loss 1.4314 (1.3433) Prec@1 65.625 (68.729) Prec@5 84.375 (87.091) Epoch: [83][3880/10010] Time 0.315 (0.328) Data 0.001 (0.001) Loss 1.5662 (1.3434) Prec@1 68.750 (68.731) Prec@5 84.375 (87.091) Epoch: [83][3890/10010] Time 0.328 (0.328) Data 0.001 (0.001) Loss 1.5154 (1.3434) Prec@1 66.406 (68.730) Prec@5 86.719 (87.091) Epoch: [83][3900/10010] Time 0.311 (0.328) Data 0.000 (0.001) Loss 1.3001 (1.3434) Prec@1 71.094 (68.732) Prec@5 90.625 (87.093) Epoch: [83][3910/10010] Time 0.335 (0.328) Data 0.001 (0.001) Loss 1.6827 (1.3436) Prec@1 59.375 (68.728) Prec@5 81.250 (87.090) Epoch: [83][3920/10010] Time 0.340 (0.328) Data 0.001 (0.001) Loss 1.4514 (1.3435) Prec@1 65.625 (68.732) Prec@5 85.938 (87.090) Epoch: [83][3930/10010] Time 0.333 (0.328) Data 0.001 (0.001) Loss 1.2141 (1.3437) Prec@1 75.000 (68.730) Prec@5 89.844 (87.089) Epoch: [83][3940/10010] Time 0.316 (0.328) Data 0.000 (0.001) Loss 1.4172 (1.3438) Prec@1 66.406 (68.724) Prec@5 82.812 (87.085) Epoch: [83][3950/10010] Time 0.332 (0.328) Data 0.001 (0.001) Loss 1.4717 (1.3439) Prec@1 66.406 (68.722) Prec@5 86.719 (87.085) Epoch: [83][3960/10010] Time 0.321 (0.328) Data 0.001 (0.001) Loss 1.1930 (1.3439) Prec@1 69.531 (68.724) Prec@5 89.844 (87.087) Epoch: [83][3970/10010] Time 0.319 (0.328) Data 0.001 (0.001) Loss 1.2228 (1.3439) Prec@1 70.312 (68.727) Prec@5 91.406 (87.089) Epoch: [83][3980/10010] Time 0.334 (0.328) Data 0.001 (0.001) Loss 1.3349 (1.3437) Prec@1 69.531 (68.732) Prec@5 86.719 (87.091) Epoch: [83][3990/10010] Time 0.337 (0.328) Data 0.000 (0.001) Loss 1.2795 (1.3439) Prec@1 68.750 (68.730) Prec@5 88.281 (87.088) Epoch: [83][4000/10010] Time 0.324 (0.328) Data 0.000 (0.001) Loss 1.5876 (1.3441) Prec@1 68.750 (68.724) Prec@5 87.500 (87.086) Epoch: [83][4010/10010] Time 0.317 (0.328) Data 0.001 (0.001) Loss 1.0279 (1.3440) Prec@1 77.344 (68.728) Prec@5 92.188 (87.088) Epoch: [83][4020/10010] Time 0.317 (0.328) Data 0.000 (0.001) Loss 1.7095 (1.3441) Prec@1 59.375 (68.727) Prec@5 83.594 (87.087) Epoch: [83][4030/10010] Time 0.319 (0.328) Data 0.000 (0.001) Loss 1.3932 (1.3441) Prec@1 62.500 (68.727) Prec@5 85.156 (87.090) Epoch: [83][4040/10010] Time 0.321 (0.328) Data 0.001 (0.001) Loss 1.2485 (1.3439) Prec@1 72.656 (68.734) Prec@5 85.938 (87.091) Epoch: [83][4050/10010] Time 0.336 (0.328) Data 0.001 (0.001) Loss 1.3144 (1.3439) Prec@1 65.625 (68.732) Prec@5 89.844 (87.092) Epoch: [83][4060/10010] Time 0.319 (0.328) Data 0.001 (0.001) Loss 1.0951 (1.3439) Prec@1 74.219 (68.731) Prec@5 92.188 (87.089) Epoch: [83][4070/10010] Time 0.336 (0.328) Data 0.000 (0.001) Loss 1.4683 (1.3439) Prec@1 71.875 (68.732) Prec@5 85.938 (87.088) Epoch: [83][4080/10010] Time 0.323 (0.328) Data 0.000 (0.001) Loss 1.4866 (1.3438) Prec@1 65.625 (68.734) Prec@5 87.500 (87.092) Epoch: [83][4090/10010] Time 0.323 (0.328) Data 0.001 (0.001) Loss 1.5563 (1.3438) Prec@1 67.188 (68.735) Prec@5 80.469 (87.094) Epoch: [83][4100/10010] Time 0.319 (0.328) Data 0.000 (0.001) Loss 1.1925 (1.3436) Prec@1 74.219 (68.744) Prec@5 89.062 (87.097) Epoch: [83][4110/10010] Time 0.314 (0.328) Data 0.001 (0.001) Loss 1.1893 (1.3437) Prec@1 71.875 (68.742) Prec@5 88.281 (87.094) Epoch: [83][4120/10010] Time 0.339 (0.328) Data 0.000 (0.001) Loss 1.2525 (1.3438) Prec@1 69.531 (68.740) Prec@5 85.938 (87.094) Epoch: [83][4130/10010] Time 0.333 (0.328) Data 0.000 (0.001) Loss 1.3914 (1.3438) Prec@1 69.531 (68.736) Prec@5 85.156 (87.093) Epoch: [83][4140/10010] Time 0.320 (0.328) Data 0.001 (0.001) Loss 1.1900 (1.3440) Prec@1 72.656 (68.732) Prec@5 89.062 (87.088) Epoch: [83][4150/10010] Time 0.318 (0.328) Data 0.000 (0.001) Loss 1.5844 (1.3442) Prec@1 62.500 (68.728) Prec@5 87.500 (87.086) Epoch: [83][4160/10010] Time 0.339 (0.328) Data 0.000 (0.001) Loss 1.5024 (1.3443) Prec@1 67.188 (68.727) Prec@5 82.812 (87.082) Epoch: [83][4170/10010] Time 0.329 (0.328) Data 0.000 (0.001) Loss 1.3071 (1.3441) Prec@1 66.406 (68.729) Prec@5 85.156 (87.084) Epoch: [83][4180/10010] Time 0.331 (0.328) Data 0.001 (0.001) Loss 1.1443 (1.3442) Prec@1 70.312 (68.726) Prec@5 91.406 (87.085) Epoch: [83][4190/10010] Time 0.315 (0.328) Data 0.000 (0.001) Loss 1.4891 (1.3440) Prec@1 68.750 (68.730) Prec@5 86.719 (87.089) Epoch: [83][4200/10010] Time 0.315 (0.328) Data 0.001 (0.001) Loss 1.3957 (1.3440) Prec@1 68.750 (68.729) Prec@5 83.594 (87.088) Epoch: [83][4210/10010] Time 0.322 (0.328) Data 0.001 (0.001) Loss 1.6010 (1.3442) Prec@1 61.719 (68.724) Prec@5 83.594 (87.088) Epoch: [83][4220/10010] Time 0.321 (0.328) Data 0.000 (0.001) Loss 1.6499 (1.3445) Prec@1 60.938 (68.717) Prec@5 82.812 (87.085) Epoch: [83][4230/10010] Time 0.328 (0.328) Data 0.001 (0.001) Loss 1.5526 (1.3445) Prec@1 57.812 (68.717) Prec@5 83.594 (87.085) Epoch: [83][4240/10010] Time 0.335 (0.328) Data 0.000 (0.001) Loss 1.2655 (1.3443) Prec@1 70.312 (68.722) Prec@5 85.938 (87.088) Epoch: [83][4250/10010] Time 0.335 (0.328) Data 0.000 (0.001) Loss 1.0591 (1.3443) Prec@1 78.125 (68.724) Prec@5 90.625 (87.088) Epoch: [83][4260/10010] Time 0.333 (0.328) Data 0.001 (0.001) Loss 1.3788 (1.3444) Prec@1 68.750 (68.721) Prec@5 89.062 (87.088) Epoch: [83][4270/10010] Time 0.336 (0.328) Data 0.001 (0.001) Loss 1.5921 (1.3446) Prec@1 64.062 (68.715) Prec@5 82.031 (87.085) Epoch: [83][4280/10010] Time 0.320 (0.328) Data 0.001 (0.001) Loss 1.0906 (1.3444) Prec@1 70.312 (68.719) Prec@5 90.625 (87.089) Epoch: [83][4290/10010] Time 0.319 (0.328) Data 0.001 (0.001) Loss 1.4006 (1.3446) Prec@1 71.875 (68.715) Prec@5 85.156 (87.088) Epoch: [83][4300/10010] Time 0.319 (0.328) Data 0.001 (0.001) Loss 1.4356 (1.3445) Prec@1 64.844 (68.716) Prec@5 85.938 (87.091) Epoch: [83][4310/10010] Time 0.338 (0.328) Data 0.001 (0.001) Loss 1.1044 (1.3444) Prec@1 77.344 (68.716) Prec@5 90.625 (87.093) Epoch: [83][4320/10010] Time 0.335 (0.328) Data 0.001 (0.001) Loss 1.0154 (1.3444) Prec@1 78.125 (68.721) Prec@5 91.406 (87.093) Epoch: [83][4330/10010] Time 0.316 (0.328) Data 0.000 (0.001) Loss 1.3071 (1.3445) Prec@1 71.094 (68.719) Prec@5 89.844 (87.093) Epoch: [83][4340/10010] Time 0.321 (0.328) Data 0.001 (0.001) Loss 1.1940 (1.3444) Prec@1 69.531 (68.721) Prec@5 89.844 (87.092) Epoch: [83][4350/10010] Time 0.337 (0.328) Data 0.001 (0.001) Loss 1.2677 (1.3445) Prec@1 67.969 (68.719) Prec@5 87.500 (87.093) Epoch: [83][4360/10010] Time 0.320 (0.328) Data 0.001 (0.001) Loss 1.3988 (1.3446) Prec@1 67.188 (68.715) Prec@5 85.938 (87.091) Epoch: [83][4370/10010] Time 0.322 (0.328) Data 0.000 (0.001) Loss 1.2021 (1.3445) Prec@1 75.781 (68.718) Prec@5 90.625 (87.091) Epoch: [83][4380/10010] Time 0.317 (0.328) Data 0.000 (0.001) Loss 1.4944 (1.3443) Prec@1 64.844 (68.720) Prec@5 82.812 (87.093) Epoch: [83][4390/10010] Time 0.340 (0.328) Data 0.000 (0.001) Loss 1.4898 (1.3442) Prec@1 68.750 (68.724) Prec@5 81.250 (87.092) Epoch: [83][4400/10010] Time 0.319 (0.328) Data 0.000 (0.001) Loss 1.2467 (1.3442) Prec@1 71.875 (68.729) Prec@5 86.719 (87.092) Epoch: [83][4410/10010] Time 0.319 (0.328) Data 0.001 (0.001) Loss 1.4757 (1.3444) Prec@1 64.062 (68.723) Prec@5 85.156 (87.091) /data/vision/torralba/deepscene/lib/anaconda2/lib/python2.7/site-packages/PIL/TiffImagePlugin.py:692: UserWarning: Possibly corrupt EXIF data. Expecting to read 2555904 bytes but only got 0. Skipping tag 0 "Skipping tag %s" % (size, len(data), tag)) Epoch: [83][4420/10010] Time 0.329 (0.328) Data 0.001 (0.001) Loss 1.2182 (1.3444) Prec@1 74.219 (68.726) Prec@5 87.500 (87.089) Epoch: [83][4430/10010] Time 0.336 (0.328) Data 0.001 (0.001) Loss 1.3458 (1.3445) Prec@1 70.312 (68.724) Prec@5 87.500 (87.089) Epoch: [83][4440/10010] Time 0.314 (0.328) Data 0.001 (0.001) Loss 1.3063 (1.3447) Prec@1 64.062 (68.719) Prec@5 89.062 (87.087) Epoch: [83][4450/10010] Time 0.313 (0.328) Data 0.001 (0.001) Loss 1.4967 (1.3449) Prec@1 66.406 (68.716) Prec@5 85.156 (87.084) Epoch: [83][4460/10010] Time 0.332 (0.328) Data 0.000 (0.001) Loss 1.4337 (1.3449) Prec@1 69.531 (68.716) Prec@5 86.719 (87.082) Epoch: [83][4470/10010] Time 0.321 (0.328) Data 0.000 (0.001) Loss 0.9082 (1.3449) Prec@1 75.781 (68.717) Prec@5 93.750 (87.082) Epoch: [83][4480/10010] Time 0.332 (0.328) Data 0.001 (0.001) Loss 1.3278 (1.3448) Prec@1 64.844 (68.717) Prec@5 87.500 (87.083) Epoch: [83][4490/10010] Time 0.319 (0.328) Data 0.000 (0.001) Loss 1.2890 (1.3449) Prec@1 69.531 (68.713) Prec@5 85.938 (87.083) Epoch: [83][4500/10010] Time 0.337 (0.328) Data 0.000 (0.001) Loss 1.4235 (1.3450) Prec@1 65.625 (68.707) Prec@5 85.156 (87.081) Epoch: [83][4510/10010] Time 0.340 (0.328) Data 0.000 (0.001) Loss 1.3188 (1.3449) Prec@1 66.406 (68.708) Prec@5 89.062 (87.081) Epoch: [83][4520/10010] Time 0.320 (0.328) Data 0.000 (0.001) Loss 1.5849 (1.3449) Prec@1 64.844 (68.706) Prec@5 85.938 (87.083) Epoch: [83][4530/10010] Time 0.338 (0.328) Data 0.000 (0.001) Loss 1.3136 (1.3448) Prec@1 68.750 (68.707) Prec@5 89.062 (87.084) Epoch: [83][4540/10010] Time 0.318 (0.328) Data 0.001 (0.001) Loss 1.2028 (1.3449) Prec@1 70.312 (68.707) Prec@5 88.281 (87.085) Epoch: [83][4550/10010] Time 0.339 (0.328) Data 0.001 (0.001) Loss 1.6419 (1.3451) Prec@1 64.844 (68.701) Prec@5 83.594 (87.082) Epoch: [83][4560/10010] Time 0.316 (0.328) Data 0.001 (0.001) Loss 1.3733 (1.3451) Prec@1 69.531 (68.702) Prec@5 85.938 (87.083) Epoch: [83][4570/10010] Time 0.325 (0.328) Data 0.001 (0.001) Loss 1.2485 (1.3451) Prec@1 75.781 (68.704) Prec@5 86.719 (87.081) Epoch: [83][4580/10010] Time 0.338 (0.328) Data 0.000 (0.001) Loss 1.3065 (1.3451) Prec@1 74.219 (68.704) Prec@5 85.156 (87.082) Epoch: [83][4590/10010] Time 0.312 (0.328) Data 0.001 (0.001) Loss 1.4062 (1.3451) Prec@1 70.312 (68.704) Prec@5 84.375 (87.081) Epoch: [83][4600/10010] Time 0.313 (0.328) Data 0.001 (0.001) Loss 1.0167 (1.3449) Prec@1 75.781 (68.709) Prec@5 91.406 (87.083) Epoch: [83][4610/10010] Time 0.316 (0.328) Data 0.001 (0.001) Loss 1.0776 (1.3447) Prec@1 75.781 (68.713) Prec@5 91.406 (87.085) Epoch: [83][4620/10010] Time 0.326 (0.328) Data 0.001 (0.001) Loss 1.5113 (1.3447) Prec@1 64.062 (68.714) Prec@5 84.375 (87.082) Epoch: [83][4630/10010] Time 0.326 (0.327) Data 0.001 (0.001) Loss 1.1448 (1.3446) Prec@1 72.656 (68.716) Prec@5 92.188 (87.085) Epoch: [83][4640/10010] Time 0.310 (0.327) Data 0.001 (0.001) Loss 1.2407 (1.3444) Prec@1 75.781 (68.720) Prec@5 85.938 (87.088) Epoch: [83][4650/10010] Time 0.340 (0.327) Data 0.001 (0.001) Loss 1.2259 (1.3444) Prec@1 71.094 (68.722) Prec@5 89.062 (87.085) Epoch: [83][4660/10010] Time 0.319 (0.328) Data 0.001 (0.001) Loss 1.0075 (1.3445) Prec@1 75.781 (68.718) Prec@5 93.750 (87.084) Epoch: [83][4670/10010] Time 0.321 (0.327) Data 0.001 (0.001) Loss 1.0697 (1.3446) Prec@1 78.125 (68.721) Prec@5 91.406 (87.085) Epoch: [83][4680/10010] Time 0.331 (0.327) Data 0.000 (0.001) Loss 1.3687 (1.3445) Prec@1 66.406 (68.723) Prec@5 87.500 (87.087) /data/vision/torralba/deepscene/lib/anaconda2/lib/python2.7/site-packages/PIL/TiffImagePlugin.py:709: UserWarning: Corrupt EXIF data. Expecting to read 4 bytes but only got 0. warnings.warn(str(msg)) Epoch: [83][4690/10010] Time 0.321 (0.327) Data 0.001 (0.001) Loss 1.2761 (1.3446) Prec@1 72.656 (68.724) Prec@5 86.719 (87.085) Epoch: [83][4700/10010] Time 0.321 (0.327) Data 0.000 (0.001) Loss 1.4294 (1.3448) Prec@1 66.406 (68.723) Prec@5 86.719 (87.083) Epoch: [83][4710/10010] Time 0.335 (0.327) Data 0.000 (0.001) Loss 1.5040 (1.3449) Prec@1 63.281 (68.720) Prec@5 85.156 (87.082) Epoch: [83][4720/10010] Time 0.322 (0.327) Data 0.001 (0.001) Loss 1.6517 (1.3450) Prec@1 65.625 (68.719) Prec@5 80.469 (87.080) Epoch: [83][4730/10010] Time 0.316 (0.327) Data 0.000 (0.001) Loss 1.3129 (1.3451) Prec@1 73.438 (68.714) Prec@5 85.938 (87.078) Epoch: [83][4740/10010] Time 0.310 (0.327) Data 0.001 (0.001) Loss 1.2551 (1.3451) Prec@1 75.000 (68.714) Prec@5 90.625 (87.078) Epoch: [83][4750/10010] Time 0.333 (0.327) Data 0.000 (0.001) Loss 1.4007 (1.3453) Prec@1 67.969 (68.713) Prec@5 81.250 (87.075) Epoch: [83][4760/10010] Time 0.321 (0.327) Data 0.001 (0.001) Loss 1.3743 (1.3453) Prec@1 68.750 (68.713) Prec@5 88.281 (87.075) Epoch: [83][4770/10010] Time 0.338 (0.327) Data 0.000 (0.001) Loss 1.2196 (1.3454) Prec@1 71.094 (68.713) Prec@5 89.062 (87.075) Epoch: [83][4780/10010] Time 0.323 (0.327) Data 0.000 (0.001) Loss 1.1498 (1.3452) Prec@1 71.094 (68.718) Prec@5 88.281 (87.076) Epoch: [83][4790/10010] Time 0.340 (0.327) Data 0.001 (0.001) Loss 1.5076 (1.3450) Prec@1 67.969 (68.723) Prec@5 85.156 (87.079) Epoch: [83][4800/10010] Time 0.336 (0.327) Data 0.001 (0.001) Loss 1.4697 (1.3452) Prec@1 67.969 (68.720) Prec@5 85.938 (87.075) Epoch: [83][4810/10010] Time 0.337 (0.328) Data 0.000 (0.001) Loss 1.5198 (1.3452) Prec@1 63.281 (68.719) Prec@5 83.594 (87.075) Epoch: [83][4820/10010] Time 0.313 (0.327) Data 0.000 (0.001) Loss 1.4884 (1.3451) Prec@1 65.625 (68.717) Prec@5 84.375 (87.076) Epoch: [83][4830/10010] Time 0.332 (0.327) Data 0.000 (0.001) Loss 1.2344 (1.3451) Prec@1 70.312 (68.719) Prec@5 89.062 (87.078) Epoch: [83][4840/10010] Time 0.333 (0.328) Data 0.001 (0.001) Loss 1.3398 (1.3451) Prec@1 75.000 (68.720) Prec@5 86.719 (87.078) Epoch: [83][4850/10010] Time 0.340 (0.328) Data 0.000 (0.001) Loss 1.2310 (1.3451) Prec@1 71.094 (68.718) Prec@5 87.500 (87.078) Epoch: [83][4860/10010] Time 0.323 (0.328) Data 0.001 (0.001) Loss 1.3804 (1.3451) Prec@1 68.750 (68.718) Prec@5 87.500 (87.079) Epoch: [83][4870/10010] Time 0.321 (0.328) Data 0.001 (0.001) Loss 1.2278 (1.3451) Prec@1 68.750 (68.720) Prec@5 87.500 (87.080) Epoch: [83][4880/10010] Time 0.318 (0.327) Data 0.001 (0.001) Loss 1.4194 (1.3451) Prec@1 68.750 (68.720) Prec@5 85.156 (87.079) Epoch: [83][4890/10010] Time 0.334 (0.328) Data 0.001 (0.001) Loss 1.4864 (1.3454) Prec@1 65.625 (68.716) Prec@5 83.594 (87.073) Epoch: [83][4900/10010] Time 0.331 (0.328) Data 0.000 (0.001) Loss 1.3228 (1.3452) Prec@1 71.094 (68.723) Prec@5 89.062 (87.076) Epoch: [83][4910/10010] Time 0.329 (0.328) Data 0.001 (0.001) Loss 1.2546 (1.3451) Prec@1 74.219 (68.725) Prec@5 90.625 (87.080) Epoch: [83][4920/10010] Time 0.327 (0.328) Data 0.001 (0.001) Loss 1.2935 (1.3450) Prec@1 71.094 (68.728) Prec@5 84.375 (87.079) Epoch: [83][4930/10010] Time 0.340 (0.328) Data 0.001 (0.001) Loss 1.7175 (1.3450) Prec@1 63.281 (68.728) Prec@5 82.812 (87.084) Epoch: [83][4940/10010] Time 0.337 (0.328) Data 0.001 (0.001) Loss 1.3939 (1.3450) Prec@1 65.625 (68.725) Prec@5 85.156 (87.083) Epoch: [83][4950/10010] Time 0.327 (0.328) Data 0.000 (0.001) Loss 1.2373 (1.3449) Prec@1 67.969 (68.727) Prec@5 90.625 (87.086) Epoch: [83][4960/10010] Time 0.322 (0.328) Data 0.001 (0.001) Loss 1.5045 (1.3450) Prec@1 66.406 (68.724) Prec@5 85.938 (87.083) Epoch: [83][4970/10010] Time 0.333 (0.328) Data 0.000 (0.001) Loss 1.4542 (1.3452) Prec@1 65.625 (68.724) Prec@5 85.156 (87.081) Epoch: [83][4980/10010] Time 0.309 (0.328) Data 0.001 (0.001) Loss 1.2747 (1.3452) Prec@1 73.438 (68.724) Prec@5 88.281 (87.082) Epoch: [83][4990/10010] Time 0.325 (0.328) Data 0.001 (0.001) Loss 1.3377 (1.3453) Prec@1 67.969 (68.721) Prec@5 88.281 (87.079) Epoch: [83][5000/10010] Time 0.321 (0.328) Data 0.001 (0.001) Loss 1.1640 (1.3452) Prec@1 74.219 (68.722) Prec@5 85.156 (87.080) Epoch: [83][5010/10010] Time 0.315 (0.328) Data 0.000 (0.001) Loss 1.4151 (1.3453) Prec@1 68.750 (68.718) Prec@5 85.156 (87.077) Epoch: [83][5020/10010] Time 0.335 (0.328) Data 0.001 (0.001) Loss 1.2257 (1.3452) Prec@1 70.312 (68.719) Prec@5 90.625 (87.079) Epoch: [83][5030/10010] Time 0.341 (0.328) Data 0.001 (0.001) Loss 1.6571 (1.3453) Prec@1 59.375 (68.715) Prec@5 84.375 (87.079) Epoch: [83][5040/10010] Time 0.341 (0.328) Data 0.000 (0.001) Loss 1.2438 (1.3455) Prec@1 69.531 (68.712) Prec@5 89.844 (87.077) Epoch: [83][5050/10010] Time 0.336 (0.328) Data 0.000 (0.001) Loss 1.1397 (1.3455) Prec@1 74.219 (68.711) Prec@5 89.844 (87.074) Epoch: [83][5060/10010] Time 0.322 (0.328) Data 0.000 (0.001) Loss 1.4415 (1.3455) Prec@1 66.406 (68.711) Prec@5 85.156 (87.076) Epoch: [83][5070/10010] Time 0.317 (0.328) Data 0.001 (0.001) Loss 1.4047 (1.3456) Prec@1 70.312 (68.709) Prec@5 84.375 (87.076) Epoch: [83][5080/10010] Time 0.319 (0.328) Data 0.001 (0.001) Loss 1.4778 (1.3457) Prec@1 69.531 (68.708) Prec@5 85.938 (87.075) Epoch: [83][5090/10010] Time 0.305 (0.328) Data 0.001 (0.001) Loss 1.0841 (1.3456) Prec@1 71.875 (68.707) Prec@5 91.406 (87.077) Epoch: [83][5100/10010] Time 0.338 (0.328) Data 0.001 (0.001) Loss 1.4320 (1.3456) Prec@1 67.969 (68.706) Prec@5 84.375 (87.078) Epoch: [83][5110/10010] Time 0.323 (0.328) Data 0.001 (0.001) Loss 1.3657 (1.3458) Prec@1 71.875 (68.704) Prec@5 85.156 (87.074) Epoch: [83][5120/10010] Time 0.320 (0.328) Data 0.001 (0.001) Loss 1.3347 (1.3457) Prec@1 67.188 (68.707) Prec@5 86.719 (87.077) Epoch: [83][5130/10010] Time 0.331 (0.328) Data 0.001 (0.001) Loss 1.4709 (1.3457) Prec@1 63.281 (68.702) Prec@5 85.938 (87.074) Epoch: [83][5140/10010] Time 0.316 (0.328) Data 0.000 (0.001) Loss 1.4037 (1.3457) Prec@1 66.406 (68.704) Prec@5 89.844 (87.077) Epoch: [83][5150/10010] Time 0.346 (0.328) Data 0.000 (0.001) Loss 1.3390 (1.3455) Prec@1 68.750 (68.707) Prec@5 85.938 (87.078) Epoch: [83][5160/10010] Time 0.341 (0.328) Data 0.000 (0.001) Loss 1.2581 (1.3455) Prec@1 68.750 (68.709) Prec@5 87.500 (87.078) Epoch: [83][5170/10010] Time 0.336 (0.328) Data 0.000 (0.001) Loss 1.3376 (1.3455) Prec@1 70.312 (68.707) Prec@5 87.500 (87.078) Epoch: [83][5180/10010] Time 0.320 (0.328) Data 0.001 (0.001) Loss 1.2530 (1.3456) Prec@1 71.094 (68.703) Prec@5 89.844 (87.076) Epoch: [83][5190/10010] Time 0.325 (0.328) Data 0.001 (0.001) Loss 1.3161 (1.3456) Prec@1 67.969 (68.703) Prec@5 88.281 (87.078) Epoch: [83][5200/10010] Time 0.325 (0.328) Data 0.002 (0.001) Loss 1.2166 (1.3456) Prec@1 68.750 (68.701) Prec@5 86.719 (87.078) Epoch: [83][5210/10010] Time 0.330 (0.328) Data 0.001 (0.001) Loss 1.4052 (1.3456) Prec@1 63.281 (68.699) Prec@5 89.062 (87.078) Epoch: [83][5220/10010] Time 0.334 (0.328) Data 0.001 (0.001) Loss 1.2667 (1.3456) Prec@1 69.531 (68.700) Prec@5 86.719 (87.078) Epoch: [83][5230/10010] Time 0.320 (0.328) Data 0.001 (0.001) Loss 1.1530 (1.3455) Prec@1 74.219 (68.704) Prec@5 89.844 (87.080) Epoch: [83][5240/10010] Time 0.324 (0.327) Data 0.000 (0.001) Loss 1.0920 (1.3455) Prec@1 71.875 (68.704) Prec@5 91.406 (87.080) Epoch: [83][5250/10010] Time 0.333 (0.327) Data 0.000 (0.001) Loss 1.2688 (1.3454) Prec@1 70.312 (68.706) Prec@5 91.406 (87.083) Epoch: [83][5260/10010] Time 0.318 (0.327) Data 0.000 (0.001) Loss 1.1718 (1.3454) Prec@1 68.750 (68.706) Prec@5 90.625 (87.080) Epoch: [83][5270/10010] Time 0.309 (0.327) Data 0.001 (0.001) Loss 1.3316 (1.3454) Prec@1 66.406 (68.707) Prec@5 85.156 (87.080) Epoch: [83][5280/10010] Time 0.338 (0.327) Data 0.001 (0.001) Loss 1.3427 (1.3455) Prec@1 70.312 (68.709) Prec@5 83.594 (87.079) Epoch: [83][5290/10010] Time 0.317 (0.327) Data 0.000 (0.001) Loss 1.3422 (1.3456) Prec@1 70.312 (68.706) Prec@5 85.938 (87.078) Epoch: [83][5300/10010] Time 0.317 (0.327) Data 0.001 (0.001) Loss 1.5536 (1.3455) Prec@1 60.938 (68.705) Prec@5 85.938 (87.079) Epoch: [83][5310/10010] Time 0.319 (0.327) Data 0.001 (0.001) Loss 1.2019 (1.3455) Prec@1 69.531 (68.704) Prec@5 90.625 (87.080) Epoch: [83][5320/10010] Time 0.318 (0.327) Data 0.001 (0.001) Loss 1.7197 (1.3455) Prec@1 64.062 (68.703) Prec@5 82.031 (87.078) Epoch: [83][5330/10010] Time 0.334 (0.327) Data 0.001 (0.001) Loss 1.2785 (1.3457) Prec@1 71.094 (68.703) Prec@5 89.062 (87.077) Epoch: [83][5340/10010] Time 0.341 (0.327) Data 0.001 (0.001) Loss 1.6630 (1.3458) Prec@1 64.062 (68.700) Prec@5 83.594 (87.076) Epoch: [83][5350/10010] Time 0.337 (0.327) Data 0.000 (0.001) Loss 1.1553 (1.3457) Prec@1 74.219 (68.703) Prec@5 90.625 (87.078) Epoch: [83][5360/10010] Time 0.337 (0.327) Data 0.001 (0.001) Loss 1.3191 (1.3458) Prec@1 71.094 (68.699) Prec@5 87.500 (87.076) Epoch: [83][5370/10010] Time 0.327 (0.327) Data 0.000 (0.001) Loss 1.3709 (1.3457) Prec@1 67.969 (68.700) Prec@5 88.281 (87.076) Epoch: [83][5380/10010] Time 0.332 (0.327) Data 0.001 (0.001) Loss 1.2897 (1.3457) Prec@1 68.750 (68.701) Prec@5 85.938 (87.076) Epoch: [83][5390/10010] Time 0.332 (0.327) Data 0.000 (0.001) Loss 1.6533 (1.3457) Prec@1 64.062 (68.700) Prec@5 82.812 (87.077) Epoch: [83][5400/10010] Time 0.320 (0.327) Data 0.001 (0.001) Loss 1.2330 (1.3457) Prec@1 72.656 (68.697) Prec@5 88.281 (87.075) Epoch: [83][5410/10010] Time 0.322 (0.327) Data 0.001 (0.001) Loss 1.3570 (1.3458) Prec@1 64.062 (68.695) Prec@5 86.719 (87.075) Epoch: [83][5420/10010] Time 0.326 (0.327) Data 0.001 (0.001) Loss 1.4217 (1.3457) Prec@1 67.969 (68.697) Prec@5 84.375 (87.075) Epoch: [83][5430/10010] Time 0.313 (0.327) Data 0.001 (0.001) Loss 1.6096 (1.3457) Prec@1 60.938 (68.695) Prec@5 84.375 (87.076) Epoch: [83][5440/10010] Time 0.313 (0.327) Data 0.001 (0.001) Loss 1.3367 (1.3458) Prec@1 69.531 (68.693) Prec@5 86.719 (87.073) Epoch: [83][5450/10010] Time 0.331 (0.327) Data 0.000 (0.001) Loss 1.2538 (1.3460) Prec@1 67.969 (68.691) Prec@5 89.062 (87.073) Epoch: [83][5460/10010] Time 0.322 (0.327) Data 0.000 (0.001) Loss 1.3097 (1.3459) Prec@1 69.531 (68.693) Prec@5 85.938 (87.073) Epoch: [83][5470/10010] Time 0.340 (0.327) Data 0.000 (0.001) Loss 1.3303 (1.3459) Prec@1 67.188 (68.694) Prec@5 88.281 (87.075) Epoch: [83][5480/10010] Time 0.339 (0.327) Data 0.000 (0.001) Loss 1.3970 (1.3460) Prec@1 67.188 (68.691) Prec@5 87.500 (87.072) Epoch: [83][5490/10010] Time 0.328 (0.327) Data 0.001 (0.001) Loss 1.2933 (1.3461) Prec@1 64.062 (68.684) Prec@5 88.281 (87.072) Epoch: [83][5500/10010] Time 0.327 (0.327) Data 0.001 (0.001) Loss 1.6641 (1.3460) Prec@1 59.375 (68.685) Prec@5 80.469 (87.071) Epoch: [83][5510/10010] Time 0.321 (0.327) Data 0.001 (0.001) Loss 1.1330 (1.3459) Prec@1 73.438 (68.685) Prec@5 91.406 (87.074) Epoch: [83][5520/10010] Time 0.326 (0.327) Data 0.000 (0.001) Loss 1.2862 (1.3459) Prec@1 76.562 (68.688) Prec@5 85.156 (87.074) Epoch: [83][5530/10010] Time 0.337 (0.327) Data 0.001 (0.001) Loss 1.5968 (1.3458) Prec@1 68.750 (68.688) Prec@5 82.812 (87.076) Epoch: [83][5540/10010] Time 0.318 (0.327) Data 0.001 (0.001) Loss 1.4838 (1.3458) Prec@1 63.281 (68.687) Prec@5 88.281 (87.077) Epoch: [83][5550/10010] Time 0.337 (0.327) Data 0.001 (0.001) Loss 1.2336 (1.3458) Prec@1 69.531 (68.685) Prec@5 89.062 (87.075) Epoch: [83][5560/10010] Time 0.337 (0.327) Data 0.001 (0.001) Loss 1.2992 (1.3460) Prec@1 68.750 (68.680) Prec@5 87.500 (87.073) Epoch: [83][5570/10010] Time 0.338 (0.327) Data 0.001 (0.001) Loss 1.2395 (1.3461) Prec@1 71.875 (68.676) Prec@5 88.281 (87.071) Epoch: [83][5580/10010] Time 0.323 (0.327) Data 0.000 (0.001) Loss 1.1602 (1.3462) Prec@1 70.312 (68.674) Prec@5 88.281 (87.069) Epoch: [83][5590/10010] Time 0.317 (0.327) Data 0.001 (0.001) Loss 1.2612 (1.3463) Prec@1 72.656 (68.673) Prec@5 89.062 (87.069) Epoch: [83][5600/10010] Time 0.333 (0.327) Data 0.001 (0.001) Loss 1.3390 (1.3464) Prec@1 70.312 (68.670) Prec@5 89.062 (87.067) Epoch: [83][5610/10010] Time 0.327 (0.327) Data 0.001 (0.001) Loss 1.2788 (1.3464) Prec@1 71.875 (68.670) Prec@5 90.625 (87.068) Epoch: [83][5620/10010] Time 0.323 (0.327) Data 0.001 (0.001) Loss 1.4038 (1.3464) Prec@1 65.625 (68.670) Prec@5 88.281 (87.068) Epoch: [83][5630/10010] Time 0.341 (0.327) Data 0.000 (0.001) Loss 1.4301 (1.3464) Prec@1 74.219 (68.672) Prec@5 84.375 (87.068) Epoch: [83][5640/10010] Time 0.334 (0.327) Data 0.001 (0.001) Loss 1.2203 (1.3463) Prec@1 67.969 (68.673) Prec@5 89.062 (87.068) Epoch: [83][5650/10010] Time 0.316 (0.327) Data 0.001 (0.001) Loss 1.2899 (1.3461) Prec@1 71.094 (68.675) Prec@5 88.281 (87.070) Epoch: [83][5660/10010] Time 0.318 (0.327) Data 0.001 (0.001) Loss 1.6579 (1.3460) Prec@1 62.500 (68.676) Prec@5 83.594 (87.072) Epoch: [83][5670/10010] Time 0.337 (0.327) Data 0.000 (0.001) Loss 1.4229 (1.3460) Prec@1 68.750 (68.677) Prec@5 83.594 (87.072) Epoch: [83][5680/10010] Time 0.336 (0.327) Data 0.000 (0.001) Loss 1.1307 (1.3460) Prec@1 75.000 (68.680) Prec@5 87.500 (87.071) Epoch: [83][5690/10010] Time 0.323 (0.327) Data 0.001 (0.001) Loss 1.2300 (1.3461) Prec@1 65.625 (68.680) Prec@5 90.625 (87.071) Epoch: [83][5700/10010] Time 0.318 (0.327) Data 0.001 (0.001) Loss 1.2279 (1.3459) Prec@1 74.219 (68.682) Prec@5 86.719 (87.071) Epoch: [83][5710/10010] Time 0.332 (0.327) Data 0.000 (0.001) Loss 1.4139 (1.3459) Prec@1 67.969 (68.681) Prec@5 82.812 (87.071) Epoch: [83][5720/10010] Time 0.321 (0.327) Data 0.000 (0.001) Loss 1.6160 (1.3459) Prec@1 60.938 (68.682) Prec@5 84.375 (87.072) Epoch: [83][5730/10010] Time 0.318 (0.327) Data 0.001 (0.001) Loss 1.5726 (1.3459) Prec@1 59.375 (68.683) Prec@5 84.375 (87.071) Epoch: [83][5740/10010] Time 0.338 (0.327) Data 0.000 (0.001) Loss 1.3084 (1.3458) Prec@1 75.781 (68.685) Prec@5 88.281 (87.073) Epoch: [83][5750/10010] Time 0.317 (0.327) Data 0.001 (0.001) Loss 1.2098 (1.3459) Prec@1 67.188 (68.684) Prec@5 92.188 (87.072) Epoch: [83][5760/10010] Time 0.318 (0.327) Data 0.000 (0.001) Loss 1.3668 (1.3459) Prec@1 71.094 (68.685) Prec@5 86.719 (87.072) Epoch: [83][5770/10010] Time 0.327 (0.327) Data 0.001 (0.001) Loss 1.1127 (1.3460) Prec@1 73.438 (68.684) Prec@5 91.406 (87.071) Epoch: [83][5780/10010] Time 0.323 (0.327) Data 0.001 (0.001) Loss 1.3176 (1.3460) Prec@1 70.312 (68.685) Prec@5 88.281 (87.071) Epoch: [83][5790/10010] Time 0.328 (0.327) Data 0.001 (0.001) Loss 1.3113 (1.3462) Prec@1 66.406 (68.681) Prec@5 87.500 (87.069) Epoch: [83][5800/10010] Time 0.338 (0.327) Data 0.000 (0.001) Loss 1.4628 (1.3462) Prec@1 69.531 (68.679) Prec@5 82.031 (87.068) Epoch: [83][5810/10010] Time 0.323 (0.327) Data 0.000 (0.001) Loss 1.5457 (1.3463) Prec@1 63.281 (68.676) Prec@5 83.594 (87.066) Epoch: [83][5820/10010] Time 0.332 (0.327) Data 0.001 (0.001) Loss 1.3435 (1.3464) Prec@1 64.062 (68.672) Prec@5 89.062 (87.067) Epoch: [83][5830/10010] Time 0.338 (0.327) Data 0.000 (0.001) Loss 1.7176 (1.3465) Prec@1 66.406 (68.671) Prec@5 81.250 (87.065) Epoch: [83][5840/10010] Time 0.325 (0.327) Data 0.001 (0.001) Loss 1.4222 (1.3465) Prec@1 67.188 (68.670) Prec@5 84.375 (87.065) Epoch: [83][5850/10010] Time 0.321 (0.327) Data 0.001 (0.001) Loss 1.3144 (1.3464) Prec@1 67.969 (68.672) Prec@5 87.500 (87.068) Epoch: [83][5860/10010] Time 0.314 (0.327) Data 0.001 (0.001) Loss 1.2562 (1.3465) Prec@1 71.094 (68.668) Prec@5 90.625 (87.065) Epoch: [83][5870/10010] Time 0.334 (0.327) Data 0.001 (0.001) Loss 1.4393 (1.3465) Prec@1 69.531 (68.669) Prec@5 84.375 (87.065) Epoch: [83][5880/10010] Time 0.336 (0.327) Data 0.001 (0.001) Loss 1.4128 (1.3464) Prec@1 64.062 (68.669) Prec@5 82.812 (87.065) Epoch: [83][5890/10010] Time 0.336 (0.327) Data 0.001 (0.001) Loss 1.4605 (1.3463) Prec@1 65.625 (68.669) Prec@5 87.500 (87.066) Epoch: [83][5900/10010] Time 0.337 (0.327) Data 0.001 (0.001) Loss 1.4701 (1.3462) Prec@1 68.750 (68.673) Prec@5 82.812 (87.069) Epoch: [83][5910/10010] Time 0.314 (0.327) Data 0.001 (0.001) Loss 1.3233 (1.3464) Prec@1 70.312 (68.670) Prec@5 84.375 (87.066) Epoch: [83][5920/10010] Time 0.324 (0.327) Data 0.000 (0.001) Loss 1.0479 (1.3463) Prec@1 72.656 (68.670) Prec@5 92.188 (87.068) Epoch: [83][5930/10010] Time 0.333 (0.327) Data 0.000 (0.001) Loss 1.4164 (1.3462) Prec@1 68.750 (68.674) Prec@5 85.938 (87.068) Epoch: [83][5940/10010] Time 0.332 (0.327) Data 0.000 (0.001) Loss 1.3115 (1.3462) Prec@1 64.844 (68.674) Prec@5 89.062 (87.068) Epoch: [83][5950/10010] Time 0.327 (0.327) Data 0.001 (0.001) Loss 1.2734 (1.3462) Prec@1 71.875 (68.675) Prec@5 87.500 (87.067) Epoch: [83][5960/10010] Time 0.319 (0.327) Data 0.000 (0.001) Loss 1.3825 (1.3463) Prec@1 69.531 (68.675) Prec@5 86.719 (87.066) Epoch: [83][5970/10010] Time 0.323 (0.327) Data 0.001 (0.001) Loss 1.5872 (1.3463) Prec@1 64.062 (68.673) Prec@5 86.719 (87.069) Epoch: [83][5980/10010] Time 0.317 (0.327) Data 0.001 (0.001) Loss 1.0530 (1.3463) Prec@1 71.875 (68.675) Prec@5 92.969 (87.070) Epoch: [83][5990/10010] Time 0.324 (0.327) Data 0.001 (0.001) Loss 1.3804 (1.3462) Prec@1 67.188 (68.676) Prec@5 86.719 (87.071) Epoch: [83][6000/10010] Time 0.333 (0.327) Data 0.000 (0.001) Loss 1.4124 (1.3463) Prec@1 67.188 (68.673) Prec@5 87.500 (87.070) Epoch: [83][6010/10010] Time 0.329 (0.327) Data 0.001 (0.001) Loss 1.1383 (1.3464) Prec@1 73.438 (68.670) Prec@5 89.062 (87.068) Epoch: [83][6020/10010] Time 0.322 (0.327) Data 0.001 (0.001) Loss 0.9343 (1.3462) Prec@1 74.219 (68.672) Prec@5 92.188 (87.071) Epoch: [83][6030/10010] Time 0.327 (0.327) Data 0.001 (0.001) Loss 1.4367 (1.3461) Prec@1 64.844 (68.674) Prec@5 85.156 (87.074) Epoch: [83][6040/10010] Time 0.335 (0.327) Data 0.001 (0.001) Loss 1.2631 (1.3461) Prec@1 67.188 (68.673) Prec@5 87.500 (87.074) Epoch: [83][6050/10010] Time 0.321 (0.327) Data 0.000 (0.001) Loss 1.6068 (1.3463) Prec@1 68.750 (68.673) Prec@5 82.812 (87.073) Epoch: [83][6060/10010] Time 0.323 (0.327) Data 0.000 (0.001) Loss 1.3667 (1.3462) Prec@1 67.188 (68.675) Prec@5 86.719 (87.073) Epoch: [83][6070/10010] Time 0.324 (0.327) Data 0.000 (0.001) Loss 1.3559 (1.3463) Prec@1 69.531 (68.676) Prec@5 83.594 (87.071) Epoch: [83][6080/10010] Time 0.321 (0.327) Data 0.000 (0.001) Loss 1.5847 (1.3462) Prec@1 63.281 (68.677) Prec@5 85.938 (87.072) Epoch: [83][6090/10010] Time 0.319 (0.327) Data 0.001 (0.001) Loss 1.4285 (1.3462) Prec@1 66.406 (68.678) Prec@5 86.719 (87.074) Epoch: [83][6100/10010] Time 0.335 (0.327) Data 0.001 (0.001) Loss 1.1395 (1.3461) Prec@1 71.094 (68.679) Prec@5 92.188 (87.076) Epoch: [83][6110/10010] Time 0.332 (0.327) Data 0.000 (0.001) Loss 1.5665 (1.3461) Prec@1 68.750 (68.679) Prec@5 79.688 (87.074) Epoch: [83][6120/10010] Time 0.321 (0.327) Data 0.000 (0.001) Loss 1.7311 (1.3461) Prec@1 57.812 (68.679) Prec@5 83.594 (87.075) Epoch: [83][6130/10010] Time 0.325 (0.327) Data 0.001 (0.001) Loss 1.2334 (1.3461) Prec@1 72.656 (68.678) Prec@5 90.625 (87.075) Epoch: [83][6140/10010] Time 0.311 (0.327) Data 0.001 (0.001) Loss 1.3342 (1.3461) Prec@1 64.844 (68.676) Prec@5 85.156 (87.076) Epoch: [83][6150/10010] Time 0.328 (0.327) Data 0.001 (0.001) Loss 1.6873 (1.3462) Prec@1 61.719 (68.675) Prec@5 80.469 (87.076) /data/vision/torralba/deepscene/lib/anaconda2/lib/python2.7/site-packages/PIL/TiffImagePlugin.py:692: UserWarning: Possibly corrupt EXIF data. Expecting to read 2555904 bytes but only got 0. Skipping tag 0 "Skipping tag %s" % (size, len(data), tag)) Epoch: [83][6160/10010] Time 0.321 (0.327) Data 0.001 (0.001) Loss 1.2531 (1.3463) Prec@1 73.438 (68.673) Prec@5 89.844 (87.075) Epoch: [83][6170/10010] Time 0.329 (0.327) Data 0.000 (0.001) Loss 1.2090 (1.3464) Prec@1 72.656 (68.670) Prec@5 86.719 (87.075) Epoch: [83][6180/10010] Time 0.339 (0.327) Data 0.000 (0.001) Loss 1.2244 (1.3464) Prec@1 75.781 (68.672) Prec@5 88.281 (87.074) Epoch: [83][6190/10010] Time 0.332 (0.327) Data 0.001 (0.001) Loss 1.3874 (1.3465) Prec@1 69.531 (68.669) Prec@5 88.281 (87.073) Epoch: [83][6200/10010] Time 0.334 (0.327) Data 0.000 (0.001) Loss 1.3511 (1.3463) Prec@1 71.094 (68.675) Prec@5 85.938 (87.075) Epoch: [83][6210/10010] Time 0.342 (0.327) Data 0.000 (0.001) Loss 1.3533 (1.3463) Prec@1 64.844 (68.677) Prec@5 87.500 (87.077) Epoch: [83][6220/10010] Time 0.339 (0.327) Data 0.001 (0.001) Loss 1.4433 (1.3463) Prec@1 75.000 (68.678) Prec@5 83.594 (87.076) Epoch: [83][6230/10010] Time 0.318 (0.327) Data 0.001 (0.001) Loss 1.1548 (1.3463) Prec@1 71.875 (68.678) Prec@5 90.625 (87.076) Epoch: [83][6240/10010] Time 0.338 (0.327) Data 0.001 (0.001) Loss 1.2018 (1.3462) Prec@1 72.656 (68.679) Prec@5 87.500 (87.077) Epoch: [83][6250/10010] Time 0.334 (0.327) Data 0.001 (0.001) Loss 1.4084 (1.3464) Prec@1 66.406 (68.678) Prec@5 86.719 (87.074) Epoch: [83][6260/10010] Time 0.339 (0.327) Data 0.001 (0.001) Loss 1.5166 (1.3464) Prec@1 67.188 (68.678) Prec@5 84.375 (87.073) Epoch: [83][6270/10010] Time 0.318 (0.327) Data 0.001 (0.001) Loss 1.4509 (1.3464) Prec@1 66.406 (68.681) Prec@5 89.062 (87.073) Epoch: [83][6280/10010] Time 0.341 (0.327) Data 0.000 (0.001) Loss 1.3975 (1.3465) Prec@1 68.750 (68.678) Prec@5 84.375 (87.070) Epoch: [83][6290/10010] Time 0.322 (0.327) Data 0.001 (0.001) Loss 1.6733 (1.3466) Prec@1 65.625 (68.677) Prec@5 79.688 (87.068) Epoch: [83][6300/10010] Time 0.315 (0.327) Data 0.000 (0.001) Loss 1.1015 (1.3466) Prec@1 71.094 (68.678) Prec@5 90.625 (87.069) Epoch: [83][6310/10010] Time 0.331 (0.327) Data 0.001 (0.001) Loss 1.5373 (1.3467) Prec@1 64.062 (68.674) Prec@5 82.812 (87.069) Epoch: [83][6320/10010] Time 0.328 (0.327) Data 0.000 (0.001) Loss 1.3854 (1.3465) Prec@1 67.188 (68.677) Prec@5 87.500 (87.071) Epoch: [83][6330/10010] Time 0.329 (0.327) Data 0.001 (0.001) Loss 1.4632 (1.3466) Prec@1 65.625 (68.675) Prec@5 85.156 (87.068) Epoch: [83][6340/10010] Time 0.334 (0.327) Data 0.001 (0.001) Loss 1.3542 (1.3467) Prec@1 67.188 (68.673) Prec@5 85.156 (87.066) Epoch: [83][6350/10010] Time 0.332 (0.327) Data 0.001 (0.001) Loss 1.2514 (1.3468) Prec@1 69.531 (68.673) Prec@5 91.406 (87.066) Epoch: [83][6360/10010] Time 0.315 (0.327) Data 0.000 (0.001) Loss 1.5312 (1.3469) Prec@1 64.062 (68.672) Prec@5 84.375 (87.064) Epoch: [83][6370/10010] Time 0.338 (0.327) Data 0.000 (0.001) Loss 1.4045 (1.3469) Prec@1 67.969 (68.672) Prec@5 83.594 (87.064) Epoch: [83][6380/10010] Time 0.310 (0.327) Data 0.001 (0.001) Loss 1.3745 (1.3471) Prec@1 66.406 (68.669) Prec@5 84.375 (87.061) Epoch: [83][6390/10010] Time 0.318 (0.327) Data 0.001 (0.001) Loss 1.6406 (1.3471) Prec@1 61.719 (68.668) Prec@5 81.250 (87.059) Epoch: [83][6400/10010] Time 0.327 (0.327) Data 0.001 (0.001) Loss 1.4242 (1.3472) Prec@1 63.281 (68.667) Prec@5 88.281 (87.059) Epoch: [83][6410/10010] Time 0.321 (0.327) Data 0.001 (0.001) Loss 1.3501 (1.3472) Prec@1 71.094 (68.669) Prec@5 86.719 (87.058) Epoch: [83][6420/10010] Time 0.316 (0.327) Data 0.001 (0.001) Loss 1.3585 (1.3473) Prec@1 70.312 (68.668) Prec@5 86.719 (87.057) Epoch: [83][6430/10010] Time 0.325 (0.327) Data 0.001 (0.001) Loss 1.3110 (1.3473) Prec@1 69.531 (68.666) Prec@5 85.156 (87.059) Epoch: [83][6440/10010] Time 0.319 (0.327) Data 0.001 (0.001) Loss 1.2070 (1.3473) Prec@1 70.312 (68.664) Prec@5 91.406 (87.058) Epoch: [83][6450/10010] Time 0.329 (0.327) Data 0.001 (0.001) Loss 1.2175 (1.3472) Prec@1 75.000 (68.665) Prec@5 89.844 (87.061) Epoch: [83][6460/10010] Time 0.341 (0.327) Data 0.001 (0.001) Loss 1.4833 (1.3472) Prec@1 65.625 (68.665) Prec@5 82.812 (87.061) Epoch: [83][6470/10010] Time 0.335 (0.327) Data 0.001 (0.001) Loss 0.9740 (1.3471) Prec@1 80.469 (68.666) Prec@5 89.062 (87.060) Epoch: [83][6480/10010] Time 0.337 (0.327) Data 0.001 (0.001) Loss 1.2765 (1.3470) Prec@1 70.312 (68.669) Prec@5 86.719 (87.061) Epoch: [83][6490/10010] Time 0.316 (0.327) Data 0.001 (0.001) Loss 1.3193 (1.3471) Prec@1 67.188 (68.666) Prec@5 90.625 (87.061) Epoch: [83][6500/10010] Time 0.319 (0.327) Data 0.001 (0.001) Loss 1.5164 (1.3471) Prec@1 65.625 (68.667) Prec@5 85.938 (87.060) Epoch: [83][6510/10010] Time 0.313 (0.327) Data 0.001 (0.001) Loss 1.3801 (1.3471) Prec@1 66.406 (68.666) Prec@5 85.938 (87.059) /data/vision/torralba/deepscene/lib/anaconda2/lib/python2.7/site-packages/PIL/TiffImagePlugin.py:692: UserWarning: Possibly corrupt EXIF data. Expecting to read 19660800 bytes but only got 0. Skipping tag 0 "Skipping tag %s" % (size, len(data), tag)) /data/vision/torralba/deepscene/lib/anaconda2/lib/python2.7/site-packages/PIL/TiffImagePlugin.py:692: UserWarning: Possibly corrupt EXIF data. Expecting to read 18481152 bytes but only got 0. Skipping tag 0 "Skipping tag %s" % (size, len(data), tag)) /data/vision/torralba/deepscene/lib/anaconda2/lib/python2.7/site-packages/PIL/TiffImagePlugin.py:692: UserWarning: Possibly corrupt EXIF data. Expecting to read 37093376 bytes but only got 0. Skipping tag 0 "Skipping tag %s" % (size, len(data), tag)) /data/vision/torralba/deepscene/lib/anaconda2/lib/python2.7/site-packages/PIL/TiffImagePlugin.py:692: UserWarning: Possibly corrupt EXIF data. Expecting to read 39976960 bytes but only got 0. Skipping tag 0 "Skipping tag %s" % (size, len(data), tag)) /data/vision/torralba/deepscene/lib/anaconda2/lib/python2.7/site-packages/PIL/TiffImagePlugin.py:692: UserWarning: Possibly corrupt EXIF data. Expecting to read 34865152 bytes but only got 0. Skipping tag 0 "Skipping tag %s" % (size, len(data), tag)) /data/vision/torralba/deepscene/lib/anaconda2/lib/python2.7/site-packages/PIL/TiffImagePlugin.py:709: UserWarning: Corrupt EXIF data. Expecting to read 12 bytes but only got 10. warnings.warn(str(msg)) Epoch: [83][6520/10010] Time 0.320 (0.327) Data 0.001 (0.001) Loss 1.4246 (1.3471) Prec@1 64.062 (68.665) Prec@5 87.500 (87.060) /data/vision/torralba/deepscene/lib/anaconda2/lib/python2.7/site-packages/PIL/TiffImagePlugin.py:692: UserWarning: Possibly corrupt EXIF data. Expecting to read 1835008 bytes but only got 0. Skipping tag 0 "Skipping tag %s" % (size, len(data), tag)) Epoch: [83][6530/10010] Time 0.314 (0.327) Data 0.001 (0.001) Loss 1.3338 (1.3472) Prec@1 68.750 (68.663) Prec@5 87.500 (87.056) Epoch: [83][6540/10010] Time 0.324 (0.327) Data 0.000 (0.001) Loss 1.4243 (1.3472) Prec@1 70.312 (68.662) Prec@5 85.938 (87.057) Epoch: [83][6550/10010] Time 0.323 (0.327) Data 0.001 (0.001) Loss 1.1925 (1.3474) Prec@1 72.656 (68.659) Prec@5 88.281 (87.055) Epoch: [83][6560/10010] Time 0.321 (0.327) Data 0.001 (0.001) Loss 1.5571 (1.3475) Prec@1 64.844 (68.657) Prec@5 84.375 (87.052) Epoch: [83][6570/10010] Time 0.319 (0.327) Data 0.001 (0.001) Loss 1.0638 (1.3475) Prec@1 73.438 (68.656) Prec@5 91.406 (87.052) Epoch: [83][6580/10010] Time 0.317 (0.327) Data 0.001 (0.001) Loss 1.8040 (1.3476) Prec@1 68.750 (68.654) Prec@5 84.375 (87.052) Epoch: [83][6590/10010] Time 0.331 (0.327) Data 0.000 (0.001) Loss 1.1412 (1.3477) Prec@1 71.094 (68.654) Prec@5 92.188 (87.051) Epoch: [83][6600/10010] Time 0.318 (0.327) Data 0.000 (0.001) Loss 1.8211 (1.3479) Prec@1 58.594 (68.647) Prec@5 78.125 (87.048) Epoch: [83][6610/10010] Time 0.318 (0.327) Data 0.001 (0.001) Loss 1.3644 (1.3480) Prec@1 72.656 (68.644) Prec@5 89.062 (87.048) Epoch: [83][6620/10010] Time 0.318 (0.327) Data 0.000 (0.001) Loss 1.2641 (1.3479) Prec@1 67.969 (68.646) Prec@5 86.719 (87.049) Epoch: [83][6630/10010] Time 0.324 (0.327) Data 0.001 (0.001) Loss 1.4614 (1.3479) Prec@1 60.938 (68.643) Prec@5 87.500 (87.050) Epoch: [83][6640/10010] Time 0.329 (0.327) Data 0.001 (0.001) Loss 1.5658 (1.3479) Prec@1 67.188 (68.641) Prec@5 83.594 (87.047) Epoch: [83][6650/10010] Time 0.332 (0.327) Data 0.000 (0.001) Loss 1.3005 (1.3480) Prec@1 69.531 (68.640) Prec@5 92.188 (87.048) Epoch: [83][6660/10010] Time 0.314 (0.327) Data 0.001 (0.001) Loss 1.4111 (1.3479) Prec@1 69.531 (68.642) Prec@5 85.938 (87.049) Epoch: [83][6670/10010] Time 0.309 (0.327) Data 0.001 (0.001) Loss 1.5238 (1.3479) Prec@1 67.969 (68.643) Prec@5 82.812 (87.048) Epoch: [83][6680/10010] Time 0.321 (0.327) Data 0.001 (0.001) Loss 1.3527 (1.3479) Prec@1 67.188 (68.643) Prec@5 88.281 (87.050) Epoch: [83][6690/10010] Time 0.318 (0.327) Data 0.000 (0.001) Loss 1.4061 (1.3479) Prec@1 72.656 (68.646) Prec@5 84.375 (87.049) Epoch: [83][6700/10010] Time 0.317 (0.327) Data 0.000 (0.001) Loss 1.2247 (1.3480) Prec@1 74.219 (68.646) Prec@5 88.281 (87.047) Epoch: [83][6710/10010] Time 0.333 (0.327) Data 0.001 (0.001) Loss 1.3296 (1.3479) Prec@1 73.438 (68.646) Prec@5 91.406 (87.049) Epoch: [83][6720/10010] Time 0.337 (0.327) Data 0.001 (0.001) Loss 1.2866 (1.3479) Prec@1 69.531 (68.644) Prec@5 89.844 (87.049) Epoch: [83][6730/10010] Time 0.319 (0.327) Data 0.001 (0.001) Loss 1.0952 (1.3480) Prec@1 76.562 (68.642) Prec@5 89.062 (87.048) Epoch: [83][6740/10010] Time 0.341 (0.327) Data 0.000 (0.001) Loss 1.1631 (1.3480) Prec@1 70.312 (68.645) Prec@5 92.188 (87.049) Epoch: [83][6750/10010] Time 0.326 (0.327) Data 0.000 (0.001) Loss 1.2540 (1.3478) Prec@1 71.094 (68.645) Prec@5 89.062 (87.051) Epoch: [83][6760/10010] Time 0.323 (0.327) Data 0.000 (0.001) Loss 1.2457 (1.3477) Prec@1 69.531 (68.646) Prec@5 85.938 (87.052) Epoch: [83][6770/10010] Time 0.325 (0.327) Data 0.001 (0.001) Loss 1.3284 (1.3477) Prec@1 64.844 (68.645) Prec@5 86.719 (87.053) Epoch: [83][6780/10010] Time 0.332 (0.327) Data 0.000 (0.001) Loss 1.1628 (1.3478) Prec@1 72.656 (68.645) Prec@5 88.281 (87.052) Epoch: [83][6790/10010] Time 0.316 (0.327) Data 0.001 (0.001) Loss 1.0355 (1.3477) Prec@1 71.094 (68.646) Prec@5 89.844 (87.053) Epoch: [83][6800/10010] Time 0.338 (0.327) Data 0.001 (0.001) Loss 1.3946 (1.3477) Prec@1 67.969 (68.646) Prec@5 82.812 (87.053) Epoch: [83][6810/10010] Time 0.338 (0.327) Data 0.000 (0.001) Loss 1.3361 (1.3476) Prec@1 67.969 (68.647) Prec@5 87.500 (87.054) Epoch: [83][6820/10010] Time 0.324 (0.327) Data 0.000 (0.001) Loss 1.0987 (1.3476) Prec@1 75.781 (68.647) Prec@5 89.062 (87.055) Epoch: [83][6830/10010] Time 0.329 (0.327) Data 0.000 (0.001) Loss 1.4657 (1.3477) Prec@1 66.406 (68.646) Prec@5 84.375 (87.053) Epoch: [83][6840/10010] Time 0.337 (0.327) Data 0.001 (0.001) Loss 1.2659 (1.3477) Prec@1 68.750 (68.646) Prec@5 88.281 (87.054) Epoch: [83][6850/10010] Time 0.324 (0.327) Data 0.000 (0.001) Loss 1.2635 (1.3476) Prec@1 71.875 (68.646) Prec@5 86.719 (87.054) Epoch: [83][6860/10010] Time 0.317 (0.327) Data 0.000 (0.001) Loss 1.1727 (1.3476) Prec@1 71.094 (68.649) Prec@5 88.281 (87.057) Epoch: [83][6870/10010] Time 0.336 (0.327) Data 0.001 (0.001) Loss 1.2135 (1.3477) Prec@1 70.312 (68.645) Prec@5 91.406 (87.056) Epoch: [83][6880/10010] Time 0.316 (0.327) Data 0.001 (0.001) Loss 1.4762 (1.3476) Prec@1 67.969 (68.644) Prec@5 85.938 (87.056) Epoch: [83][6890/10010] Time 0.345 (0.327) Data 0.002 (0.001) Loss 1.5214 (1.3477) Prec@1 64.844 (68.643) Prec@5 83.594 (87.054) Epoch: [83][6900/10010] Time 0.331 (0.327) Data 0.000 (0.001) Loss 1.3747 (1.3476) Prec@1 73.438 (68.644) Prec@5 84.375 (87.056) Epoch: [83][6910/10010] Time 0.323 (0.327) Data 0.001 (0.001) Loss 1.4920 (1.3477) Prec@1 70.312 (68.642) Prec@5 85.938 (87.056) Epoch: [83][6920/10010] Time 0.314 (0.327) Data 0.001 (0.001) Loss 0.9843 (1.3476) Prec@1 78.125 (68.646) Prec@5 90.625 (87.058) Epoch: [83][6930/10010] Time 0.323 (0.327) Data 0.000 (0.001) Loss 1.5004 (1.3476) Prec@1 67.188 (68.645) Prec@5 85.156 (87.059) Epoch: [83][6940/10010] Time 0.342 (0.327) Data 0.000 (0.001) Loss 1.2879 (1.3477) Prec@1 77.344 (68.645) Prec@5 89.844 (87.058) Epoch: [83][6950/10010] Time 0.327 (0.327) Data 0.001 (0.001) Loss 1.2995 (1.3476) Prec@1 70.312 (68.647) Prec@5 85.156 (87.060) Epoch: [83][6960/10010] Time 0.332 (0.327) Data 0.001 (0.001) Loss 1.1634 (1.3476) Prec@1 73.438 (68.644) Prec@5 92.188 (87.059) Epoch: [83][6970/10010] Time 0.331 (0.327) Data 0.001 (0.001) Loss 1.3176 (1.3476) Prec@1 66.406 (68.645) Prec@5 85.938 (87.058) Epoch: [83][6980/10010] Time 0.329 (0.327) Data 0.001 (0.001) Loss 0.9793 (1.3477) Prec@1 74.219 (68.643) Prec@5 91.406 (87.055) Epoch: [83][6990/10010] Time 0.340 (0.327) Data 0.000 (0.001) Loss 1.7083 (1.3479) Prec@1 62.500 (68.640) Prec@5 78.906 (87.052) Epoch: [83][7000/10010] Time 0.333 (0.327) Data 0.000 (0.001) Loss 1.2897 (1.3479) Prec@1 72.656 (68.641) Prec@5 85.156 (87.053) Epoch: [83][7010/10010] Time 0.316 (0.327) Data 0.000 (0.001) Loss 1.5595 (1.3479) Prec@1 64.062 (68.639) Prec@5 84.375 (87.051) Epoch: [83][7020/10010] Time 0.319 (0.327) Data 0.000 (0.001) Loss 1.6207 (1.3480) Prec@1 66.406 (68.639) Prec@5 85.156 (87.050) Epoch: [83][7030/10010] Time 0.324 (0.327) Data 0.001 (0.001) Loss 1.1314 (1.3480) Prec@1 74.219 (68.641) Prec@5 88.281 (87.052) Epoch: [83][7040/10010] Time 0.320 (0.327) Data 0.001 (0.001) Loss 1.0915 (1.3479) Prec@1 71.875 (68.642) Prec@5 89.844 (87.053) Epoch: [83][7050/10010] Time 0.330 (0.327) Data 0.001 (0.001) Loss 1.4314 (1.3480) Prec@1 68.750 (68.642) Prec@5 85.156 (87.051) Epoch: [83][7060/10010] Time 0.319 (0.327) Data 0.001 (0.001) Loss 0.9951 (1.3479) Prec@1 75.000 (68.644) Prec@5 92.188 (87.052) Epoch: [83][7070/10010] Time 0.325 (0.327) Data 0.001 (0.001) Loss 1.5337 (1.3479) Prec@1 64.062 (68.644) Prec@5 82.812 (87.053) Epoch: [83][7080/10010] Time 0.316 (0.327) Data 0.001 (0.001) Loss 1.3449 (1.3479) Prec@1 71.094 (68.644) Prec@5 85.156 (87.052) Epoch: [83][7090/10010] Time 0.317 (0.327) Data 0.001 (0.001) Loss 1.3724 (1.3479) Prec@1 68.750 (68.644) Prec@5 84.375 (87.054) Epoch: [83][7100/10010] Time 0.322 (0.327) Data 0.001 (0.001) Loss 1.3955 (1.3477) Prec@1 69.531 (68.645) Prec@5 84.375 (87.056) Epoch: [83][7110/10010] Time 0.332 (0.327) Data 0.001 (0.001) Loss 1.2198 (1.3477) Prec@1 66.406 (68.645) Prec@5 92.188 (87.058) Epoch: [83][7120/10010] Time 0.333 (0.327) Data 0.000 (0.001) Loss 1.4731 (1.3477) Prec@1 69.531 (68.644) Prec@5 86.719 (87.057) Epoch: [83][7130/10010] Time 0.329 (0.327) Data 0.001 (0.001) Loss 1.3157 (1.3476) Prec@1 69.531 (68.645) Prec@5 88.281 (87.058) Epoch: [83][7140/10010] Time 0.319 (0.327) Data 0.000 (0.001) Loss 1.2319 (1.3476) Prec@1 70.312 (68.644) Prec@5 88.281 (87.060) Epoch: [83][7150/10010] Time 0.335 (0.327) Data 0.001 (0.001) Loss 1.5911 (1.3477) Prec@1 61.719 (68.640) Prec@5 82.812 (87.058) Epoch: [83][7160/10010] Time 0.321 (0.327) Data 0.001 (0.001) Loss 1.3319 (1.3477) Prec@1 68.750 (68.640) Prec@5 86.719 (87.058) Epoch: [83][7170/10010] Time 0.322 (0.327) Data 0.000 (0.001) Loss 1.2465 (1.3477) Prec@1 68.750 (68.641) Prec@5 91.406 (87.061) Epoch: [83][7180/10010] Time 0.323 (0.327) Data 0.001 (0.001) Loss 1.3427 (1.3477) Prec@1 71.094 (68.642) Prec@5 86.719 (87.060) Epoch: [83][7190/10010] Time 0.336 (0.327) Data 0.000 (0.001) Loss 1.5062 (1.3477) Prec@1 65.625 (68.641) Prec@5 86.719 (87.060) Epoch: [83][7200/10010] Time 0.339 (0.327) Data 0.001 (0.001) Loss 1.5500 (1.3478) Prec@1 65.625 (68.639) Prec@5 81.250 (87.059) Epoch: [83][7210/10010] Time 0.329 (0.327) Data 0.000 (0.001) Loss 1.7073 (1.3478) Prec@1 62.500 (68.639) Prec@5 84.375 (87.059) Epoch: [83][7220/10010] Time 0.340 (0.327) Data 0.001 (0.001) Loss 1.0854 (1.3478) Prec@1 71.875 (68.636) Prec@5 92.188 (87.059) Epoch: [83][7230/10010] Time 0.337 (0.327) Data 0.001 (0.001) Loss 1.2300 (1.3477) Prec@1 72.656 (68.638) Prec@5 89.844 (87.061) Epoch: [83][7240/10010] Time 0.317 (0.327) Data 0.001 (0.001) Loss 1.3494 (1.3478) Prec@1 71.875 (68.637) Prec@5 87.500 (87.060) Epoch: [83][7250/10010] Time 0.318 (0.327) Data 0.000 (0.001) Loss 1.2038 (1.3477) Prec@1 75.781 (68.637) Prec@5 89.062 (87.060) Epoch: [83][7260/10010] Time 0.327 (0.327) Data 0.001 (0.001) Loss 1.3234 (1.3478) Prec@1 67.188 (68.634) Prec@5 85.938 (87.059) Epoch: [83][7270/10010] Time 0.308 (0.327) Data 0.001 (0.001) Loss 1.4798 (1.3478) Prec@1 67.188 (68.635) Prec@5 85.156 (87.060) Epoch: [83][7280/10010] Time 0.325 (0.327) Data 0.000 (0.001) Loss 1.5315 (1.3478) Prec@1 66.406 (68.633) Prec@5 85.156 (87.059) Epoch: [83][7290/10010] Time 0.332 (0.327) Data 0.001 (0.001) Loss 1.2694 (1.3478) Prec@1 69.531 (68.634) Prec@5 88.281 (87.060) Epoch: [83][7300/10010] Time 0.314 (0.327) Data 0.001 (0.001) Loss 1.3347 (1.3479) Prec@1 68.750 (68.632) Prec@5 87.500 (87.058) Epoch: [83][7310/10010] Time 0.319 (0.327) Data 0.001 (0.001) Loss 1.4707 (1.3480) Prec@1 64.062 (68.632) Prec@5 85.156 (87.056) Epoch: [83][7320/10010] Time 0.327 (0.327) Data 0.000 (0.001) Loss 1.1552 (1.3479) Prec@1 74.219 (68.633) Prec@5 92.188 (87.058) Epoch: [83][7330/10010] Time 0.318 (0.327) Data 0.000 (0.001) Loss 1.4821 (1.3479) Prec@1 69.531 (68.634) Prec@5 84.375 (87.058) Epoch: [83][7340/10010] Time 0.311 (0.327) Data 0.001 (0.001) Loss 1.2234 (1.3480) Prec@1 67.188 (68.632) Prec@5 89.062 (87.057) Epoch: [83][7350/10010] Time 0.323 (0.327) Data 0.000 (0.001) Loss 1.1970 (1.3480) Prec@1 71.875 (68.633) Prec@5 90.625 (87.058) Epoch: [83][7360/10010] Time 0.319 (0.327) Data 0.001 (0.001) Loss 1.2758 (1.3480) Prec@1 68.750 (68.632) Prec@5 89.844 (87.057) Epoch: [83][7370/10010] Time 0.320 (0.327) Data 0.000 (0.001) Loss 1.6760 (1.3481) Prec@1 60.156 (68.630) Prec@5 81.250 (87.055) Epoch: [83][7380/10010] Time 0.320 (0.327) Data 0.000 (0.001) Loss 1.6333 (1.3481) Prec@1 64.844 (68.629) Prec@5 83.594 (87.054) Epoch: [83][7390/10010] Time 0.319 (0.327) Data 0.000 (0.001) Loss 0.9906 (1.3481) Prec@1 74.219 (68.629) Prec@5 96.094 (87.054) Epoch: [83][7400/10010] Time 0.320 (0.327) Data 0.000 (0.001) Loss 1.2548 (1.3481) Prec@1 71.875 (68.630) Prec@5 90.625 (87.054) Epoch: [83][7410/10010] Time 0.318 (0.327) Data 0.001 (0.001) Loss 1.0697 (1.3481) Prec@1 73.438 (68.628) Prec@5 91.406 (87.055) Epoch: [83][7420/10010] Time 0.322 (0.327) Data 0.001 (0.001) Loss 1.0860 (1.3481) Prec@1 73.438 (68.629) Prec@5 89.844 (87.055) Epoch: [83][7430/10010] Time 0.318 (0.327) Data 0.001 (0.001) Loss 1.5080 (1.3480) Prec@1 67.969 (68.629) Prec@5 85.938 (87.056) Epoch: [83][7440/10010] Time 0.319 (0.327) Data 0.000 (0.001) Loss 1.3671 (1.3482) Prec@1 71.875 (68.627) Prec@5 87.500 (87.052) Epoch: [83][7450/10010] Time 0.342 (0.327) Data 0.000 (0.001) Loss 1.3470 (1.3484) Prec@1 72.656 (68.625) Prec@5 87.500 (87.051) Epoch: [83][7460/10010] Time 0.317 (0.327) Data 0.001 (0.001) Loss 1.3629 (1.3484) Prec@1 68.750 (68.622) Prec@5 83.594 (87.050) Epoch: [83][7470/10010] Time 0.328 (0.327) Data 0.000 (0.001) Loss 1.3109 (1.3484) Prec@1 69.531 (68.624) Prec@5 88.281 (87.052) Epoch: [83][7480/10010] Time 0.323 (0.327) Data 0.000 (0.001) Loss 1.4864 (1.3485) Prec@1 65.625 (68.623) Prec@5 83.594 (87.051) Epoch: [83][7490/10010] Time 0.325 (0.327) Data 0.001 (0.001) Loss 0.9552 (1.3484) Prec@1 78.125 (68.624) Prec@5 90.625 (87.053) Epoch: [83][7500/10010] Time 0.323 (0.327) Data 0.000 (0.001) Loss 1.3577 (1.3484) Prec@1 69.531 (68.624) Prec@5 85.938 (87.053) Epoch: [83][7510/10010] Time 0.322 (0.327) Data 0.001 (0.001) Loss 1.6839 (1.3486) Prec@1 64.062 (68.622) Prec@5 81.250 (87.051) Epoch: [83][7520/10010] Time 0.317 (0.327) Data 0.000 (0.001) Loss 1.4010 (1.3486) Prec@1 66.406 (68.621) Prec@5 82.031 (87.049) Epoch: [83][7530/10010] Time 0.325 (0.327) Data 0.001 (0.001) Loss 1.4708 (1.3487) Prec@1 71.094 (68.620) Prec@5 84.375 (87.049) Epoch: [83][7540/10010] Time 0.337 (0.327) Data 0.001 (0.001) Loss 1.4488 (1.3487) Prec@1 64.062 (68.618) Prec@5 85.938 (87.047) Epoch: [83][7550/10010] Time 0.340 (0.327) Data 0.000 (0.001) Loss 1.6581 (1.3488) Prec@1 60.938 (68.617) Prec@5 85.156 (87.045) Epoch: [83][7560/10010] Time 0.314 (0.327) Data 0.000 (0.001) Loss 1.3010 (1.3490) Prec@1 70.312 (68.617) Prec@5 86.719 (87.043) Epoch: [83][7570/10010] Time 0.317 (0.327) Data 0.000 (0.001) Loss 1.4737 (1.3489) Prec@1 63.281 (68.618) Prec@5 85.938 (87.046) Epoch: [83][7580/10010] Time 0.321 (0.327) Data 0.001 (0.001) Loss 1.5870 (1.3490) Prec@1 64.844 (68.616) Prec@5 79.688 (87.043) Epoch: [83][7590/10010] Time 0.321 (0.327) Data 0.001 (0.001) Loss 1.1534 (1.3490) Prec@1 71.875 (68.615) Prec@5 89.062 (87.044) Epoch: [83][7600/10010] Time 0.309 (0.327) Data 0.001 (0.001) Loss 1.4667 (1.3490) Prec@1 67.188 (68.615) Prec@5 82.812 (87.044) Epoch: [83][7610/10010] Time 0.330 (0.327) Data 0.000 (0.001) Loss 1.1547 (1.3489) Prec@1 73.438 (68.618) Prec@5 92.188 (87.045) Epoch: [83][7620/10010] Time 0.334 (0.327) Data 0.001 (0.001) Loss 1.1920 (1.3488) Prec@1 73.438 (68.619) Prec@5 86.719 (87.045) Epoch: [83][7630/10010] Time 0.318 (0.327) Data 0.001 (0.001) Loss 1.2109 (1.3488) Prec@1 64.062 (68.617) Prec@5 91.406 (87.043) Epoch: [83][7640/10010] Time 0.326 (0.327) Data 0.001 (0.001) Loss 1.7427 (1.3488) Prec@1 59.375 (68.615) Prec@5 79.688 (87.043) Epoch: [83][7650/10010] Time 0.339 (0.327) Data 0.001 (0.001) Loss 1.2885 (1.3487) Prec@1 68.750 (68.617) Prec@5 87.500 (87.046) Epoch: [83][7660/10010] Time 0.336 (0.327) Data 0.000 (0.001) Loss 1.2251 (1.3486) Prec@1 65.625 (68.619) Prec@5 90.625 (87.048) Epoch: [83][7670/10010] Time 0.329 (0.327) Data 0.001 (0.001) Loss 1.2539 (1.3487) Prec@1 68.750 (68.617) Prec@5 89.062 (87.046) Epoch: [83][7680/10010] Time 0.316 (0.327) Data 0.001 (0.001) Loss 1.4352 (1.3488) Prec@1 64.844 (68.615) Prec@5 86.719 (87.047) Epoch: [83][7690/10010] Time 0.322 (0.327) Data 0.000 (0.001) Loss 1.5714 (1.3489) Prec@1 61.719 (68.613) Prec@5 81.250 (87.046) Epoch: [83][7700/10010] Time 0.316 (0.327) Data 0.001 (0.001) Loss 1.4145 (1.3490) Prec@1 70.312 (68.613) Prec@5 87.500 (87.048) Epoch: [83][7710/10010] Time 0.341 (0.327) Data 0.001 (0.001) Loss 1.2581 (1.3490) Prec@1 74.219 (68.613) Prec@5 86.719 (87.048) Epoch: [83][7720/10010] Time 0.320 (0.327) Data 0.001 (0.001) Loss 1.3071 (1.3489) Prec@1 66.406 (68.612) Prec@5 90.625 (87.048) Epoch: [83][7730/10010] Time 0.336 (0.327) Data 0.000 (0.001) Loss 1.2742 (1.3489) Prec@1 69.531 (68.613) Prec@5 90.625 (87.049) Epoch: [83][7740/10010] Time 0.315 (0.327) Data 0.001 (0.001) Loss 1.6273 (1.3488) Prec@1 61.719 (68.615) Prec@5 82.812 (87.051) Epoch: [83][7750/10010] Time 0.345 (0.327) Data 0.000 (0.001) Loss 1.3847 (1.3488) Prec@1 70.312 (68.617) Prec@5 85.938 (87.052) Epoch: [83][7760/10010] Time 0.321 (0.327) Data 0.001 (0.001) Loss 1.1098 (1.3487) Prec@1 71.094 (68.618) Prec@5 89.844 (87.053) Epoch: [83][7770/10010] Time 0.313 (0.327) Data 0.001 (0.001) Loss 1.4147 (1.3488) Prec@1 65.625 (68.617) Prec@5 85.938 (87.051) Epoch: [83][7780/10010] Time 0.335 (0.327) Data 0.001 (0.001) Loss 1.5067 (1.3488) Prec@1 65.625 (68.615) Prec@5 79.688 (87.049) Epoch: [83][7790/10010] Time 0.340 (0.327) Data 0.001 (0.001) Loss 1.3466 (1.3487) Prec@1 67.188 (68.616) Prec@5 85.156 (87.050) Epoch: [83][7800/10010] Time 0.317 (0.327) Data 0.001 (0.001) Loss 1.4900 (1.3488) Prec@1 63.281 (68.614) Prec@5 85.156 (87.049) Epoch: [83][7810/10010] Time 0.315 (0.327) Data 0.001 (0.001) Loss 1.4814 (1.3488) Prec@1 64.844 (68.615) Prec@5 82.031 (87.048) Epoch: [83][7820/10010] Time 0.316 (0.327) Data 0.000 (0.001) Loss 1.3092 (1.3488) Prec@1 66.406 (68.614) Prec@5 85.156 (87.047) Epoch: [83][7830/10010] Time 0.315 (0.327) Data 0.001 (0.001) Loss 1.3754 (1.3488) Prec@1 69.531 (68.614) Prec@5 86.719 (87.049) Epoch: [83][7840/10010] Time 0.324 (0.327) Data 0.001 (0.001) Loss 1.4000 (1.3489) Prec@1 67.188 (68.611) Prec@5 86.719 (87.047) Epoch: [83][7850/10010] Time 0.321 (0.327) Data 0.000 (0.001) Loss 1.2026 (1.3489) Prec@1 68.750 (68.611) Prec@5 88.281 (87.047) Epoch: [83][7860/10010] Time 0.340 (0.327) Data 0.000 (0.001) Loss 1.4170 (1.3488) Prec@1 66.406 (68.612) Prec@5 88.281 (87.048) Epoch: [83][7870/10010] Time 0.321 (0.327) Data 0.001 (0.001) Loss 1.4224 (1.3488) Prec@1 70.312 (68.612) Prec@5 88.281 (87.047) Epoch: [83][7880/10010] Time 0.331 (0.327) Data 0.001 (0.001) Loss 1.2127 (1.3488) Prec@1 71.875 (68.614) Prec@5 91.406 (87.047) Epoch: [83][7890/10010] Time 0.320 (0.327) Data 0.001 (0.001) Loss 1.2996 (1.3488) Prec@1 67.188 (68.615) Prec@5 89.062 (87.047) Epoch: [83][7900/10010] Time 0.318 (0.327) Data 0.001 (0.001) Loss 1.4540 (1.3487) Prec@1 62.500 (68.614) Prec@5 85.156 (87.046) Epoch: [83][7910/10010] Time 0.332 (0.327) Data 0.001 (0.001) Loss 1.3964 (1.3488) Prec@1 65.625 (68.613) Prec@5 87.500 (87.045) Epoch: [83][7920/10010] Time 0.319 (0.327) Data 0.001 (0.001) Loss 1.5670 (1.3488) Prec@1 61.719 (68.611) Prec@5 86.719 (87.046) Epoch: [83][7930/10010] Time 0.330 (0.327) Data 0.000 (0.001) Loss 1.2154 (1.3488) Prec@1 70.312 (68.610) Prec@5 89.062 (87.047) Epoch: [83][7940/10010] Time 0.327 (0.327) Data 0.000 (0.001) Loss 1.5256 (1.3488) Prec@1 63.281 (68.612) Prec@5 83.594 (87.046) Epoch: [83][7950/10010] Time 0.323 (0.327) Data 0.000 (0.001) Loss 1.1753 (1.3488) Prec@1 72.656 (68.611) Prec@5 88.281 (87.046) Epoch: [83][7960/10010] Time 0.326 (0.327) Data 0.001 (0.001) Loss 1.7431 (1.3488) Prec@1 62.500 (68.610) Prec@5 79.688 (87.044) Epoch: [83][7970/10010] Time 0.330 (0.327) Data 0.000 (0.001) Loss 1.4015 (1.3489) Prec@1 64.062 (68.608) Prec@5 85.938 (87.042) Epoch: [83][7980/10010] Time 0.319 (0.327) Data 0.001 (0.001) Loss 1.6936 (1.3491) Prec@1 58.594 (68.606) Prec@5 82.031 (87.041) Epoch: [83][7990/10010] Time 0.316 (0.327) Data 0.000 (0.001) Loss 1.2943 (1.3490) Prec@1 68.750 (68.606) Prec@5 86.719 (87.041) Epoch: [83][8000/10010] Time 0.341 (0.327) Data 0.001 (0.001) Loss 1.4079 (1.3491) Prec@1 64.844 (68.605) Prec@5 87.500 (87.041) Epoch: [83][8010/10010] Time 0.339 (0.327) Data 0.000 (0.001) Loss 1.3173 (1.3491) Prec@1 71.875 (68.605) Prec@5 86.719 (87.041) Epoch: [83][8020/10010] Time 0.340 (0.327) Data 0.001 (0.001) Loss 1.2839 (1.3492) Prec@1 70.312 (68.604) Prec@5 87.500 (87.039) Epoch: [83][8030/10010] Time 0.327 (0.327) Data 0.001 (0.001) Loss 1.0789 (1.3491) Prec@1 72.656 (68.604) Prec@5 89.844 (87.040) Epoch: [83][8040/10010] Time 0.317 (0.327) Data 0.001 (0.001) Loss 1.2984 (1.3491) Prec@1 77.344 (68.605) Prec@5 85.938 (87.039) Epoch: [83][8050/10010] Time 0.325 (0.327) Data 0.001 (0.001) Loss 1.2202 (1.3491) Prec@1 71.094 (68.606) Prec@5 88.281 (87.039) Epoch: [83][8060/10010] Time 0.338 (0.327) Data 0.001 (0.001) Loss 1.5056 (1.3491) Prec@1 60.938 (68.605) Prec@5 85.938 (87.038) Epoch: [83][8070/10010] Time 0.338 (0.327) Data 0.000 (0.001) Loss 1.4974 (1.3491) Prec@1 68.750 (68.605) Prec@5 86.719 (87.039) Epoch: [83][8080/10010] Time 0.315 (0.327) Data 0.001 (0.001) Loss 1.4748 (1.3492) Prec@1 67.969 (68.604) Prec@5 83.594 (87.038) Epoch: [83][8090/10010] Time 0.322 (0.327) Data 0.001 (0.001) Loss 1.1359 (1.3491) Prec@1 71.094 (68.604) Prec@5 88.281 (87.039) Epoch: [83][8100/10010] Time 0.322 (0.327) Data 0.000 (0.001) Loss 1.1777 (1.3492) Prec@1 75.781 (68.603) Prec@5 89.062 (87.037) Epoch: [83][8110/10010] Time 0.314 (0.327) Data 0.000 (0.001) Loss 1.3400 (1.3492) Prec@1 65.625 (68.600) Prec@5 87.500 (87.036) Epoch: [83][8120/10010] Time 0.317 (0.327) Data 0.001 (0.001) Loss 1.5438 (1.3493) Prec@1 64.844 (68.599) Prec@5 83.594 (87.035) Epoch: [83][8130/10010] Time 0.338 (0.327) Data 0.000 (0.001) Loss 1.4505 (1.3493) Prec@1 65.625 (68.598) Prec@5 85.156 (87.033) Epoch: [83][8140/10010] Time 0.337 (0.327) Data 0.001 (0.001) Loss 1.3060 (1.3494) Prec@1 72.656 (68.596) Prec@5 89.062 (87.033) Epoch: [83][8150/10010] Time 0.340 (0.327) Data 0.000 (0.001) Loss 1.3305 (1.3494) Prec@1 67.188 (68.598) Prec@5 89.062 (87.032) Epoch: [83][8160/10010] Time 0.329 (0.327) Data 0.000 (0.001) Loss 1.4147 (1.3494) Prec@1 64.844 (68.600) Prec@5 84.375 (87.033) Epoch: [83][8170/10010] Time 0.321 (0.327) Data 0.001 (0.001) Loss 1.1841 (1.3493) Prec@1 75.000 (68.601) Prec@5 89.844 (87.033) Epoch: [83][8180/10010] Time 0.333 (0.327) Data 0.001 (0.001) Loss 1.4055 (1.3493) Prec@1 67.188 (68.601) Prec@5 84.375 (87.033) Epoch: [83][8190/10010] Time 0.338 (0.327) Data 0.000 (0.001) Loss 1.2067 (1.3493) Prec@1 69.531 (68.602) Prec@5 89.844 (87.033) Epoch: [83][8200/10010] Time 0.321 (0.327) Data 0.001 (0.001) Loss 1.4430 (1.3492) Prec@1 67.188 (68.604) Prec@5 86.719 (87.033) Epoch: [83][8210/10010] Time 0.324 (0.327) Data 0.000 (0.001) Loss 1.3501 (1.3493) Prec@1 67.188 (68.602) Prec@5 85.938 (87.032) Epoch: [83][8220/10010] Time 0.340 (0.327) Data 0.001 (0.001) Loss 1.3583 (1.3494) Prec@1 65.625 (68.599) Prec@5 83.594 (87.032) Epoch: [83][8230/10010] Time 0.325 (0.327) Data 0.000 (0.001) Loss 1.1185 (1.3493) Prec@1 70.312 (68.599) Prec@5 89.844 (87.032) Epoch: [83][8240/10010] Time 0.321 (0.327) Data 0.000 (0.001) Loss 1.3712 (1.3493) Prec@1 63.281 (68.599) Prec@5 88.281 (87.033) Epoch: [83][8250/10010] Time 0.318 (0.327) Data 0.001 (0.001) Loss 1.5452 (1.3494) Prec@1 67.188 (68.598) Prec@5 85.156 (87.032) Epoch: [83][8260/10010] Time 0.329 (0.327) Data 0.001 (0.001) Loss 1.2977 (1.3494) Prec@1 67.969 (68.597) Prec@5 89.844 (87.031) Epoch: [83][8270/10010] Time 0.313 (0.327) Data 0.001 (0.001) Loss 1.3762 (1.3494) Prec@1 68.750 (68.598) Prec@5 83.594 (87.030) Epoch: [83][8280/10010] Time 0.327 (0.327) Data 0.001 (0.001) Loss 1.5157 (1.3495) Prec@1 67.188 (68.597) Prec@5 84.375 (87.028) Epoch: [83][8290/10010] Time 0.335 (0.327) Data 0.001 (0.001) Loss 1.2406 (1.3496) Prec@1 72.656 (68.595) Prec@5 84.375 (87.027) Epoch: [83][8300/10010] Time 0.319 (0.327) Data 0.001 (0.001) Loss 1.4236 (1.3496) Prec@1 66.406 (68.595) Prec@5 86.719 (87.027) Epoch: [83][8310/10010] Time 0.339 (0.327) Data 0.000 (0.001) Loss 1.3876 (1.3496) Prec@1 66.406 (68.595) Prec@5 87.500 (87.027) Epoch: [83][8320/10010] Time 0.325 (0.327) Data 0.000 (0.001) Loss 1.5536 (1.3497) Prec@1 69.531 (68.594) Prec@5 84.375 (87.026) Epoch: [83][8330/10010] Time 0.316 (0.327) Data 0.001 (0.001) Loss 1.2374 (1.3495) Prec@1 75.781 (68.597) Prec@5 90.625 (87.029) Epoch: [83][8340/10010] Time 0.337 (0.327) Data 0.000 (0.001) Loss 1.3316 (1.3495) Prec@1 66.406 (68.595) Prec@5 87.500 (87.028) Epoch: [83][8350/10010] Time 0.317 (0.327) Data 0.000 (0.001) Loss 1.2613 (1.3496) Prec@1 69.531 (68.594) Prec@5 85.938 (87.027) Epoch: [83][8360/10010] Time 0.326 (0.327) Data 0.000 (0.001) Loss 1.3665 (1.3496) Prec@1 70.312 (68.593) Prec@5 87.500 (87.026) Epoch: [83][8370/10010] Time 0.323 (0.327) Data 0.001 (0.001) Loss 1.3122 (1.3495) Prec@1 68.750 (68.595) Prec@5 88.281 (87.026) Epoch: [83][8380/10010] Time 0.314 (0.327) Data 0.001 (0.001) Loss 1.2594 (1.3495) Prec@1 71.875 (68.596) Prec@5 87.500 (87.027) Epoch: [83][8390/10010] Time 0.322 (0.327) Data 0.000 (0.001) Loss 1.5048 (1.3495) Prec@1 67.188 (68.597) Prec@5 82.812 (87.028) Epoch: [83][8400/10010] Time 0.318 (0.327) Data 0.001 (0.001) Loss 1.2569 (1.3494) Prec@1 69.531 (68.599) Prec@5 89.844 (87.028) Epoch: [83][8410/10010] Time 0.332 (0.327) Data 0.000 (0.001) Loss 1.4672 (1.3493) Prec@1 64.062 (68.601) Prec@5 85.156 (87.030) Epoch: [83][8420/10010] Time 0.335 (0.327) Data 0.001 (0.001) Loss 1.1710 (1.3492) Prec@1 75.781 (68.604) Prec@5 87.500 (87.032) Epoch: [83][8430/10010] Time 0.315 (0.327) Data 0.000 (0.001) Loss 1.2846 (1.3492) Prec@1 64.062 (68.604) Prec@5 89.062 (87.032) Epoch: [83][8440/10010] Time 0.315 (0.327) Data 0.001 (0.001) Loss 1.2352 (1.3492) Prec@1 71.094 (68.604) Prec@5 87.500 (87.032) Epoch: [83][8450/10010] Time 0.334 (0.327) Data 0.000 (0.001) Loss 1.5910 (1.3491) Prec@1 61.719 (68.603) Prec@5 85.156 (87.033) Epoch: [83][8460/10010] Time 0.330 (0.327) Data 0.000 (0.001) Loss 1.3362 (1.3491) Prec@1 69.531 (68.604) Prec@5 88.281 (87.033) Epoch: [83][8470/10010] Time 0.318 (0.327) Data 0.000 (0.001) Loss 1.1676 (1.3491) Prec@1 72.656 (68.604) Prec@5 88.281 (87.033) Epoch: [83][8480/10010] Time 0.334 (0.327) Data 0.000 (0.001) Loss 1.5809 (1.3491) Prec@1 61.719 (68.606) Prec@5 85.938 (87.033) Epoch: [83][8490/10010] Time 0.339 (0.327) Data 0.001 (0.001) Loss 1.3246 (1.3491) Prec@1 68.750 (68.604) Prec@5 92.188 (87.033) Epoch: [83][8500/10010] Time 0.339 (0.327) Data 0.001 (0.001) Loss 1.6433 (1.3491) Prec@1 58.594 (68.602) Prec@5 83.594 (87.033) Epoch: [83][8510/10010] Time 0.324 (0.327) Data 0.001 (0.001) Loss 1.4202 (1.3491) Prec@1 65.625 (68.602) Prec@5 82.812 (87.033) Epoch: [83][8520/10010] Time 0.328 (0.327) Data 0.000 (0.001) Loss 1.3549 (1.3491) Prec@1 75.000 (68.603) Prec@5 88.281 (87.033) Epoch: [83][8530/10010] Time 0.340 (0.327) Data 0.001 (0.001) Loss 1.4279 (1.3490) Prec@1 67.188 (68.605) Prec@5 88.281 (87.034) Epoch: [83][8540/10010] Time 0.314 (0.327) Data 0.001 (0.001) Loss 1.5364 (1.3491) Prec@1 65.625 (68.605) Prec@5 85.156 (87.032) Epoch: [83][8550/10010] Time 0.332 (0.327) Data 0.001 (0.001) Loss 1.2989 (1.3491) Prec@1 66.406 (68.604) Prec@5 87.500 (87.031) Epoch: [83][8560/10010] Time 0.333 (0.327) Data 0.001 (0.001) Loss 1.4359 (1.3491) Prec@1 66.406 (68.602) Prec@5 87.500 (87.032) Epoch: [83][8570/10010] Time 0.322 (0.327) Data 0.000 (0.001) Loss 1.6136 (1.3491) Prec@1 63.281 (68.604) Prec@5 85.156 (87.033) Epoch: [83][8580/10010] Time 0.317 (0.327) Data 0.001 (0.001) Loss 1.3640 (1.3491) Prec@1 65.625 (68.603) Prec@5 86.719 (87.033) Epoch: [83][8590/10010] Time 0.335 (0.327) Data 0.000 (0.001) Loss 1.5285 (1.3492) Prec@1 66.406 (68.603) Prec@5 85.938 (87.032) Epoch: [83][8600/10010] Time 0.317 (0.327) Data 0.001 (0.001) Loss 1.2081 (1.3491) Prec@1 70.312 (68.603) Prec@5 89.062 (87.033) Epoch: [83][8610/10010] Time 0.334 (0.327) Data 0.001 (0.001) Loss 1.3012 (1.3491) Prec@1 72.656 (68.600) Prec@5 89.062 (87.033) Epoch: [83][8620/10010] Time 0.332 (0.327) Data 0.000 (0.001) Loss 1.2521 (1.3491) Prec@1 67.188 (68.601) Prec@5 91.406 (87.034) Epoch: [83][8630/10010] Time 0.329 (0.327) Data 0.000 (0.001) Loss 1.6185 (1.3491) Prec@1 63.281 (68.601) Prec@5 82.031 (87.034) Epoch: [83][8640/10010] Time 0.319 (0.327) Data 0.001 (0.001) Loss 1.4137 (1.3492) Prec@1 64.844 (68.600) Prec@5 88.281 (87.032) Epoch: [83][8650/10010] Time 0.340 (0.327) Data 0.000 (0.001) Loss 1.4363 (1.3492) Prec@1 62.500 (68.600) Prec@5 87.500 (87.033) Epoch: [83][8660/10010] Time 0.317 (0.327) Data 0.001 (0.001) Loss 1.1585 (1.3492) Prec@1 73.438 (68.602) Prec@5 89.062 (87.033) Epoch: [83][8670/10010] Time 0.319 (0.327) Data 0.001 (0.001) Loss 1.4746 (1.3493) Prec@1 69.531 (68.601) Prec@5 82.031 (87.032) Epoch: [83][8680/10010] Time 0.339 (0.327) Data 0.001 (0.001) Loss 1.1458 (1.3492) Prec@1 71.875 (68.604) Prec@5 92.969 (87.034) Epoch: [83][8690/10010] Time 0.331 (0.327) Data 0.001 (0.001) Loss 1.3940 (1.3492) Prec@1 67.188 (68.603) Prec@5 87.500 (87.034) Epoch: [83][8700/10010] Time 0.331 (0.327) Data 0.001 (0.001) Loss 1.2780 (1.3492) Prec@1 68.750 (68.603) Prec@5 87.500 (87.035) Epoch: [83][8710/10010] Time 0.338 (0.327) Data 0.001 (0.001) Loss 1.2798 (1.3492) Prec@1 71.094 (68.603) Prec@5 88.281 (87.036) Epoch: [83][8720/10010] Time 0.334 (0.327) Data 0.001 (0.001) Loss 1.4216 (1.3491) Prec@1 67.188 (68.603) Prec@5 84.375 (87.037) Epoch: [83][8730/10010] Time 0.317 (0.327) Data 0.001 (0.001) Loss 1.4175 (1.3491) Prec@1 63.281 (68.601) Prec@5 87.500 (87.038) Epoch: [83][8740/10010] Time 0.332 (0.327) Data 0.000 (0.001) Loss 1.3373 (1.3492) Prec@1 68.750 (68.600) Prec@5 84.375 (87.037) Epoch: [83][8750/10010] Time 0.338 (0.327) Data 0.000 (0.001) Loss 1.6198 (1.3492) Prec@1 67.969 (68.601) Prec@5 85.156 (87.036) Epoch: [83][8760/10010] Time 0.341 (0.327) Data 0.000 (0.001) Loss 1.3342 (1.3492) Prec@1 67.188 (68.598) Prec@5 86.719 (87.036) Epoch: [83][8770/10010] Time 0.314 (0.327) Data 0.000 (0.001) Loss 1.3400 (1.3492) Prec@1 67.188 (68.598) Prec@5 82.812 (87.038) Epoch: [83][8780/10010] Time 0.324 (0.327) Data 0.001 (0.001) Loss 1.4054 (1.3492) Prec@1 69.531 (68.597) Prec@5 88.281 (87.037) Epoch: [83][8790/10010] Time 0.321 (0.327) Data 0.000 (0.001) Loss 1.4224 (1.3493) Prec@1 68.750 (68.595) Prec@5 85.938 (87.036) Epoch: [83][8800/10010] Time 0.324 (0.327) Data 0.001 (0.001) Loss 1.4369 (1.3493) Prec@1 64.062 (68.595) Prec@5 86.719 (87.035) Epoch: [83][8810/10010] Time 0.326 (0.327) Data 0.001 (0.001) Loss 1.2304 (1.3493) Prec@1 72.656 (68.596) Prec@5 89.844 (87.036) Epoch: [83][8820/10010] Time 0.325 (0.327) Data 0.000 (0.001) Loss 1.3804 (1.3493) Prec@1 67.969 (68.595) Prec@5 87.500 (87.035) Epoch: [83][8830/10010] Time 0.330 (0.327) Data 0.001 (0.001) Loss 1.5069 (1.3493) Prec@1 67.188 (68.595) Prec@5 85.156 (87.035) Epoch: [83][8840/10010] Time 0.332 (0.327) Data 0.000 (0.001) Loss 1.1768 (1.3493) Prec@1 75.000 (68.596) Prec@5 88.281 (87.035) Epoch: [83][8850/10010] Time 0.336 (0.327) Data 0.001 (0.001) Loss 1.5910 (1.3494) Prec@1 64.844 (68.594) Prec@5 83.594 (87.033) Epoch: [83][8860/10010] Time 0.325 (0.327) Data 0.000 (0.001) Loss 1.2963 (1.3494) Prec@1 68.750 (68.594) Prec@5 85.938 (87.033) Epoch: [83][8870/10010] Time 0.333 (0.327) Data 0.000 (0.001) Loss 1.3076 (1.3494) Prec@1 71.094 (68.593) Prec@5 85.156 (87.032) Epoch: [83][8880/10010] Time 0.333 (0.327) Data 0.000 (0.001) Loss 1.2301 (1.3494) Prec@1 69.531 (68.594) Prec@5 89.844 (87.032) Epoch: [83][8890/10010] Time 0.314 (0.327) Data 0.001 (0.001) Loss 1.5243 (1.3494) Prec@1 65.625 (68.594) Prec@5 84.375 (87.031) Epoch: [83][8900/10010] Time 0.332 (0.327) Data 0.000 (0.001) Loss 1.1385 (1.3494) Prec@1 75.000 (68.595) Prec@5 89.844 (87.031) Epoch: [83][8910/10010] Time 0.319 (0.327) Data 0.004 (0.001) Loss 1.3968 (1.3494) Prec@1 71.094 (68.594) Prec@5 85.938 (87.030) Epoch: [83][8920/10010] Time 0.325 (0.327) Data 0.000 (0.001) Loss 1.2361 (1.3493) Prec@1 71.875 (68.595) Prec@5 92.188 (87.032) Epoch: [83][8930/10010] Time 0.317 (0.327) Data 0.001 (0.001) Loss 1.2262 (1.3492) Prec@1 69.531 (68.597) Prec@5 89.062 (87.034) Epoch: [83][8940/10010] Time 0.325 (0.327) Data 0.001 (0.001) Loss 1.5179 (1.3492) Prec@1 58.594 (68.595) Prec@5 83.594 (87.033) Epoch: [83][8950/10010] Time 0.337 (0.327) Data 0.001 (0.001) Loss 1.1999 (1.3492) Prec@1 71.875 (68.594) Prec@5 88.281 (87.033) Epoch: [83][8960/10010] Time 0.333 (0.327) Data 0.000 (0.001) Loss 1.4346 (1.3493) Prec@1 64.844 (68.594) Prec@5 85.156 (87.032) Epoch: [83][8970/10010] Time 0.342 (0.327) Data 0.000 (0.001) Loss 1.1650 (1.3493) Prec@1 71.094 (68.593) Prec@5 88.281 (87.032) Epoch: [83][8980/10010] Time 0.335 (0.327) Data 0.000 (0.001) Loss 1.6167 (1.3493) Prec@1 60.156 (68.592) Prec@5 82.031 (87.031) Epoch: [83][8990/10010] Time 0.329 (0.327) Data 0.001 (0.001) Loss 1.5981 (1.3493) Prec@1 69.531 (68.593) Prec@5 86.719 (87.032) Epoch: [83][9000/10010] Time 0.339 (0.327) Data 0.000 (0.001) Loss 1.2552 (1.3493) Prec@1 71.875 (68.594) Prec@5 88.281 (87.032) Epoch: [83][9010/10010] Time 0.322 (0.327) Data 0.001 (0.001) Loss 1.0102 (1.3493) Prec@1 73.438 (68.595) Prec@5 91.406 (87.033) Epoch: [83][9020/10010] Time 0.315 (0.327) Data 0.001 (0.001) Loss 1.1328 (1.3492) Prec@1 74.219 (68.597) Prec@5 91.406 (87.035) Epoch: [83][9030/10010] Time 0.324 (0.327) Data 0.001 (0.001) Loss 1.2958 (1.3493) Prec@1 67.969 (68.595) Prec@5 85.938 (87.034) Epoch: [83][9040/10010] Time 0.322 (0.327) Data 0.001 (0.001) Loss 1.5726 (1.3493) Prec@1 62.500 (68.596) Prec@5 83.594 (87.033) Epoch: [83][9050/10010] Time 0.317 (0.327) Data 0.001 (0.001) Loss 1.4851 (1.3494) Prec@1 67.188 (68.594) Prec@5 85.938 (87.032) Epoch: [83][9060/10010] Time 0.333 (0.327) Data 0.001 (0.001) Loss 1.2849 (1.3493) Prec@1 68.750 (68.597) Prec@5 87.500 (87.033) Epoch: [83][9070/10010] Time 0.323 (0.327) Data 0.001 (0.001) Loss 1.2496 (1.3493) Prec@1 68.750 (68.597) Prec@5 89.062 (87.034) Epoch: [83][9080/10010] Time 0.342 (0.327) Data 0.001 (0.001) Loss 1.4321 (1.3493) Prec@1 73.438 (68.597) Prec@5 86.719 (87.032) Epoch: [83][9090/10010] Time 0.336 (0.327) Data 0.001 (0.001) Loss 1.1038 (1.3492) Prec@1 71.094 (68.599) Prec@5 89.062 (87.033) Epoch: [83][9100/10010] Time 0.314 (0.327) Data 0.001 (0.001) Loss 1.7154 (1.3492) Prec@1 60.938 (68.598) Prec@5 84.375 (87.034) Epoch: [83][9110/10010] Time 0.322 (0.327) Data 0.001 (0.001) Loss 1.6632 (1.3492) Prec@1 61.719 (68.599) Prec@5 78.906 (87.032) Epoch: [83][9120/10010] Time 0.320 (0.327) Data 0.000 (0.001) Loss 1.1623 (1.3492) Prec@1 71.875 (68.599) Prec@5 91.406 (87.033) Epoch: [83][9130/10010] Time 0.319 (0.327) Data 0.001 (0.001) Loss 1.4466 (1.3492) Prec@1 65.625 (68.597) Prec@5 85.156 (87.032) Epoch: [83][9140/10010] Time 0.325 (0.327) Data 0.001 (0.001) Loss 1.5427 (1.3493) Prec@1 60.938 (68.595) Prec@5 82.812 (87.030) Epoch: [83][9150/10010] Time 0.317 (0.327) Data 0.001 (0.001) Loss 1.4607 (1.3493) Prec@1 67.969 (68.597) Prec@5 83.594 (87.031) Epoch: [83][9160/10010] Time 0.333 (0.327) Data 0.000 (0.001) Loss 1.1609 (1.3493) Prec@1 73.438 (68.598) Prec@5 87.500 (87.030) Epoch: [83][9170/10010] Time 0.316 (0.327) Data 0.001 (0.001) Loss 1.2717 (1.3494) Prec@1 67.188 (68.598) Prec@5 86.719 (87.030) Epoch: [83][9180/10010] Time 0.327 (0.327) Data 0.001 (0.001) Loss 1.3381 (1.3493) Prec@1 64.844 (68.599) Prec@5 85.156 (87.031) Epoch: [83][9190/10010] Time 0.317 (0.327) Data 0.001 (0.001) Loss 1.2778 (1.3492) Prec@1 67.969 (68.599) Prec@5 88.281 (87.032) Epoch: [83][9200/10010] Time 0.335 (0.327) Data 0.001 (0.001) Loss 1.2192 (1.3491) Prec@1 71.875 (68.601) Prec@5 89.844 (87.033) Epoch: [83][9210/10010] Time 0.339 (0.327) Data 0.001 (0.001) Loss 1.3914 (1.3491) Prec@1 66.406 (68.603) Prec@5 85.156 (87.034) Epoch: [83][9220/10010] Time 0.328 (0.327) Data 0.001 (0.001) Loss 1.2885 (1.3491) Prec@1 71.875 (68.604) Prec@5 90.625 (87.034) Epoch: [83][9230/10010] Time 0.319 (0.327) Data 0.001 (0.001) Loss 1.3262 (1.3490) Prec@1 67.969 (68.605) Prec@5 89.062 (87.034) Epoch: [83][9240/10010] Time 0.336 (0.327) Data 0.001 (0.001) Loss 1.2134 (1.3491) Prec@1 67.188 (68.603) Prec@5 90.625 (87.033) Epoch: [83][9250/10010] Time 0.330 (0.327) Data 0.001 (0.001) Loss 1.4924 (1.3492) Prec@1 63.281 (68.602) Prec@5 85.938 (87.032) Epoch: [83][9260/10010] Time 0.323 (0.327) Data 0.000 (0.001) Loss 1.3525 (1.3492) Prec@1 68.750 (68.601) Prec@5 86.719 (87.033) Epoch: [83][9270/10010] Time 0.318 (0.327) Data 0.001 (0.001) Loss 1.6158 (1.3493) Prec@1 66.406 (68.599) Prec@5 78.906 (87.031) Epoch: [83][9280/10010] Time 0.337 (0.327) Data 0.001 (0.001) Loss 1.3587 (1.3492) Prec@1 68.750 (68.600) Prec@5 87.500 (87.031) Epoch: [83][9290/10010] Time 0.322 (0.327) Data 0.000 (0.001) Loss 1.3652 (1.3492) Prec@1 75.000 (68.601) Prec@5 88.281 (87.032) Epoch: [83][9300/10010] Time 0.318 (0.327) Data 0.001 (0.001) Loss 1.1226 (1.3492) Prec@1 74.219 (68.601) Prec@5 88.281 (87.032) Epoch: [83][9310/10010] Time 0.319 (0.327) Data 0.000 (0.001) Loss 1.4890 (1.3493) Prec@1 64.844 (68.599) Prec@5 84.375 (87.031) Epoch: [83][9320/10010] Time 0.329 (0.327) Data 0.000 (0.001) Loss 1.7491 (1.3493) Prec@1 63.281 (68.598) Prec@5 78.906 (87.030) Epoch: [83][9330/10010] Time 0.318 (0.327) Data 0.001 (0.001) Loss 1.2171 (1.3493) Prec@1 69.531 (68.598) Prec@5 90.625 (87.031) Epoch: [83][9340/10010] Time 0.321 (0.327) Data 0.001 (0.001) Loss 1.3312 (1.3493) Prec@1 66.406 (68.597) Prec@5 87.500 (87.031) Epoch: [83][9350/10010] Time 0.316 (0.327) Data 0.001 (0.001) Loss 1.1865 (1.3492) Prec@1 67.969 (68.596) Prec@5 86.719 (87.032) Epoch: [83][9360/10010] Time 0.319 (0.327) Data 0.000 (0.001) Loss 1.1435 (1.3491) Prec@1 74.219 (68.595) Prec@5 91.406 (87.034) Epoch: [83][9370/10010] Time 0.325 (0.327) Data 0.000 (0.001) Loss 1.3715 (1.3492) Prec@1 67.188 (68.595) Prec@5 85.938 (87.033) Epoch: [83][9380/10010] Time 0.336 (0.327) Data 0.001 (0.001) Loss 1.0757 (1.3492) Prec@1 67.969 (68.592) Prec@5 92.188 (87.032) Epoch: [83][9390/10010] Time 0.337 (0.327) Data 0.001 (0.001) Loss 1.2957 (1.3493) Prec@1 67.188 (68.592) Prec@5 85.938 (87.031) Epoch: [83][9400/10010] Time 0.340 (0.327) Data 0.000 (0.001) Loss 1.2628 (1.3492) Prec@1 70.312 (68.593) Prec@5 88.281 (87.032) Epoch: [83][9410/10010] Time 0.339 (0.327) Data 0.001 (0.001) Loss 1.3532 (1.3492) Prec@1 67.969 (68.594) Prec@5 85.938 (87.033) Epoch: [83][9420/10010] Time 0.322 (0.327) Data 0.000 (0.001) Loss 1.5868 (1.3492) Prec@1 65.625 (68.594) Prec@5 85.156 (87.033) Epoch: [83][9430/10010] Time 0.330 (0.327) Data 0.000 (0.001) Loss 1.2237 (1.3492) Prec@1 71.094 (68.594) Prec@5 87.500 (87.033) Epoch: [83][9440/10010] Time 0.339 (0.327) Data 0.000 (0.001) Loss 1.6288 (1.3492) Prec@1 62.500 (68.594) Prec@5 88.281 (87.034) Epoch: [83][9450/10010] Time 0.342 (0.327) Data 0.000 (0.001) Loss 1.6494 (1.3492) Prec@1 66.406 (68.595) Prec@5 81.250 (87.034) Epoch: [83][9460/10010] Time 0.328 (0.327) Data 0.001 (0.001) Loss 1.3630 (1.3492) Prec@1 68.750 (68.595) Prec@5 87.500 (87.033) Epoch: [83][9470/10010] Time 0.337 (0.327) Data 0.001 (0.001) Loss 1.2329 (1.3492) Prec@1 75.781 (68.596) Prec@5 88.281 (87.033) Epoch: [83][9480/10010] Time 0.333 (0.327) Data 0.000 (0.001) Loss 1.6342 (1.3492) Prec@1 65.625 (68.596) Prec@5 84.375 (87.033) Epoch: [83][9490/10010] Time 0.336 (0.327) Data 0.001 (0.001) Loss 1.4120 (1.3492) Prec@1 72.656 (68.594) Prec@5 84.375 (87.033) Epoch: [83][9500/10010] Time 0.316 (0.327) Data 0.000 (0.001) Loss 1.3145 (1.3493) Prec@1 69.531 (68.594) Prec@5 88.281 (87.032) Epoch: [83][9510/10010] Time 0.323 (0.327) Data 0.001 (0.001) Loss 0.9346 (1.3491) Prec@1 75.000 (68.596) Prec@5 93.750 (87.034) Epoch: [83][9520/10010] Time 0.311 (0.327) Data 0.001 (0.001) Loss 1.2546 (1.3492) Prec@1 71.094 (68.594) Prec@5 88.281 (87.034) Epoch: [83][9530/10010] Time 0.320 (0.327) Data 0.000 (0.001) Loss 1.2433 (1.3492) Prec@1 67.188 (68.592) Prec@5 90.625 (87.034) Epoch: [83][9540/10010] Time 0.332 (0.327) Data 0.001 (0.001) Loss 1.5099 (1.3494) Prec@1 64.844 (68.590) Prec@5 82.031 (87.032) Epoch: [83][9550/10010] Time 0.319 (0.327) Data 0.001 (0.001) Loss 1.2185 (1.3494) Prec@1 71.094 (68.589) Prec@5 89.844 (87.032) Epoch: [83][9560/10010] Time 0.311 (0.327) Data 0.001 (0.001) Loss 1.4383 (1.3494) Prec@1 66.406 (68.586) Prec@5 86.719 (87.032) Epoch: [83][9570/10010] Time 0.319 (0.327) Data 0.000 (0.001) Loss 1.4908 (1.3495) Prec@1 62.500 (68.586) Prec@5 83.594 (87.032) Epoch: [83][9580/10010] Time 0.326 (0.327) Data 0.001 (0.001) Loss 1.4048 (1.3495) Prec@1 67.188 (68.585) Prec@5 84.375 (87.032) Epoch: [83][9590/10010] Time 0.332 (0.327) Data 0.001 (0.001) Loss 1.6987 (1.3495) Prec@1 60.938 (68.586) Prec@5 83.594 (87.032) Epoch: [83][9600/10010] Time 0.324 (0.327) Data 0.000 (0.001) Loss 1.5714 (1.3496) Prec@1 68.750 (68.584) Prec@5 85.156 (87.032) Epoch: [83][9610/10010] Time 0.321 (0.327) Data 0.000 (0.001) Loss 1.4757 (1.3497) Prec@1 68.750 (68.582) Prec@5 85.156 (87.031) Epoch: [83][9620/10010] Time 0.312 (0.327) Data 0.001 (0.001) Loss 1.2448 (1.3497) Prec@1 75.781 (68.583) Prec@5 89.062 (87.031) Epoch: [83][9630/10010] Time 0.332 (0.327) Data 0.001 (0.001) Loss 1.2643 (1.3496) Prec@1 70.312 (68.584) Prec@5 90.625 (87.032) Epoch: [83][9640/10010] Time 0.338 (0.327) Data 0.001 (0.001) Loss 1.1983 (1.3496) Prec@1 71.875 (68.584) Prec@5 89.062 (87.033) Epoch: [83][9650/10010] Time 0.338 (0.327) Data 0.001 (0.001) Loss 1.4855 (1.3497) Prec@1 65.625 (68.582) Prec@5 87.500 (87.033) Epoch: [83][9660/10010] Time 0.333 (0.327) Data 0.001 (0.001) Loss 1.4997 (1.3497) Prec@1 63.281 (68.580) Prec@5 85.156 (87.032) Epoch: [83][9670/10010] Time 0.334 (0.327) Data 0.001 (0.001) Loss 1.2959 (1.3497) Prec@1 65.625 (68.579) Prec@5 87.500 (87.032) Epoch: [83][9680/10010] Time 0.323 (0.327) Data 0.000 (0.001) Loss 1.1941 (1.3497) Prec@1 68.750 (68.578) Prec@5 89.062 (87.033) Epoch: [83][9690/10010] Time 0.318 (0.327) Data 0.000 (0.001) Loss 1.2615 (1.3497) Prec@1 73.438 (68.578) Prec@5 86.719 (87.034) Epoch: [83][9700/10010] Time 0.324 (0.327) Data 0.001 (0.001) Loss 1.6547 (1.3497) Prec@1 60.938 (68.578) Prec@5 82.031 (87.034) Epoch: [83][9710/10010] Time 0.323 (0.327) Data 0.001 (0.001) Loss 1.3736 (1.3498) Prec@1 67.969 (68.576) Prec@5 85.156 (87.031) Epoch: [83][9720/10010] Time 0.336 (0.327) Data 0.000 (0.001) Loss 1.5780 (1.3499) Prec@1 65.625 (68.574) Prec@5 85.156 (87.031) Epoch: [83][9730/10010] Time 0.325 (0.327) Data 0.000 (0.001) Loss 1.4549 (1.3499) Prec@1 59.375 (68.574) Prec@5 84.375 (87.030) Epoch: [83][9740/10010] Time 0.314 (0.327) Data 0.001 (0.001) Loss 1.2307 (1.3499) Prec@1 68.750 (68.575) Prec@5 86.719 (87.030) Epoch: [83][9750/10010] Time 0.319 (0.327) Data 0.000 (0.001) Loss 1.6384 (1.3500) Prec@1 64.844 (68.572) Prec@5 83.594 (87.030) Epoch: [83][9760/10010] Time 0.326 (0.327) Data 0.001 (0.001) Loss 1.2095 (1.3500) Prec@1 70.312 (68.571) Prec@5 86.719 (87.029) Epoch: [83][9770/10010] Time 0.328 (0.327) Data 0.000 (0.001) Loss 1.2127 (1.3499) Prec@1 71.094 (68.574) Prec@5 90.625 (87.031) Epoch: [83][9780/10010] Time 0.321 (0.327) Data 0.001 (0.001) Loss 1.2780 (1.3499) Prec@1 68.750 (68.574) Prec@5 89.062 (87.031) Epoch: [83][9790/10010] Time 0.337 (0.327) Data 0.000 (0.001) Loss 1.1997 (1.3498) Prec@1 68.750 (68.575) Prec@5 88.281 (87.031) Epoch: [83][9800/10010] Time 0.312 (0.327) Data 0.001 (0.001) Loss 1.3439 (1.3498) Prec@1 71.875 (68.576) Prec@5 87.500 (87.030) Epoch: [83][9810/10010] Time 0.317 (0.327) Data 0.001 (0.001) Loss 1.3417 (1.3498) Prec@1 67.188 (68.576) Prec@5 88.281 (87.031) Epoch: [83][9820/10010] Time 0.325 (0.327) Data 0.001 (0.001) Loss 1.3797 (1.3498) Prec@1 65.625 (68.575) Prec@5 85.938 (87.030) Epoch: [83][9830/10010] Time 0.323 (0.327) Data 0.001 (0.001) Loss 1.3899 (1.3497) Prec@1 64.844 (68.575) Prec@5 85.156 (87.030) Epoch: [83][9840/10010] Time 0.321 (0.327) Data 0.001 (0.001) Loss 1.6563 (1.3498) Prec@1 63.281 (68.574) Prec@5 82.812 (87.030) Epoch: [83][9850/10010] Time 0.332 (0.327) Data 0.001 (0.001) Loss 1.4311 (1.3499) Prec@1 67.969 (68.573) Prec@5 84.375 (87.027) Epoch: [83][9860/10010] Time 0.318 (0.327) Data 0.000 (0.001) Loss 1.4906 (1.3499) Prec@1 62.500 (68.572) Prec@5 84.375 (87.027) Epoch: [83][9870/10010] Time 0.336 (0.327) Data 0.001 (0.001) Loss 1.1405 (1.3499) Prec@1 74.219 (68.573) Prec@5 89.844 (87.027) Epoch: [83][9880/10010] Time 0.318 (0.327) Data 0.000 (0.001) Loss 1.1998 (1.3498) Prec@1 74.219 (68.573) Prec@5 88.281 (87.028) Epoch: [83][9890/10010] Time 0.332 (0.327) Data 0.001 (0.001) Loss 1.7025 (1.3499) Prec@1 62.500 (68.571) Prec@5 81.250 (87.026) Epoch: [83][9900/10010] Time 0.326 (0.327) Data 0.000 (0.001) Loss 1.2876 (1.3499) Prec@1 73.438 (68.570) Prec@5 87.500 (87.025) Epoch: [83][9910/10010] Time 0.329 (0.327) Data 0.001 (0.001) Loss 1.2178 (1.3500) Prec@1 67.188 (68.569) Prec@5 87.500 (87.024) Epoch: [83][9920/10010] Time 0.319 (0.327) Data 0.001 (0.001) Loss 1.3521 (1.3499) Prec@1 70.312 (68.571) Prec@5 85.156 (87.025) Epoch: [83][9930/10010] Time 0.321 (0.327) Data 0.001 (0.001) Loss 1.2196 (1.3499) Prec@1 70.312 (68.569) Prec@5 89.844 (87.025) Epoch: [83][9940/10010] Time 0.341 (0.327) Data 0.000 (0.001) Loss 1.3360 (1.3500) Prec@1 60.938 (68.566) Prec@5 90.625 (87.025) Epoch: [83][9950/10010] Time 0.321 (0.327) Data 0.001 (0.001) Loss 1.1956 (1.3500) Prec@1 71.875 (68.567) Prec@5 89.062 (87.025) Epoch: [83][9960/10010] Time 0.330 (0.327) Data 0.001 (0.001) Loss 1.3794 (1.3499) Prec@1 64.844 (68.567) Prec@5 87.500 (87.025) Epoch: [83][9970/10010] Time 0.327 (0.327) Data 0.001 (0.001) Loss 1.1950 (1.3499) Prec@1 72.656 (68.566) Prec@5 89.062 (87.025) Epoch: [83][9980/10010] Time 0.316 (0.327) Data 0.001 (0.001) Loss 1.4722 (1.3500) Prec@1 65.625 (68.565) Prec@5 85.156 (87.026) Epoch: [83][9990/10010] Time 0.323 (0.327) Data 0.001 (0.001) Loss 1.5753 (1.3500) Prec@1 66.406 (68.566) Prec@5 83.594 (87.026) Epoch: [83][10000/10010] Time 0.327 (0.327) Data 0.000 (0.001) Loss 1.6070 (1.3499) Prec@1 60.938 (68.567) Prec@5 85.938 (87.026) Test: [0/391] Time 1.263 (1.263) Loss 0.6834 (0.6834) Prec@1 84.375 (84.375) Prec@5 95.312 (95.312) Test: [10/391] Time 0.155 (0.231) Loss 1.2466 (0.6391) Prec@1 71.875 (84.233) Prec@5 90.625 (95.312) Test: [20/391] Time 0.110 (0.172) Loss 0.8322 (0.8702) Prec@1 77.344 (77.827) Prec@5 92.969 (93.229) Test: [30/391] Time 0.107 (0.151) Loss 1.6037 (1.0257) Prec@1 70.312 (73.866) Prec@5 87.500 (91.860) Test: [40/391] Time 0.104 (0.140) Loss 0.8180 (0.9191) Prec@1 80.469 (76.467) Prec@5 92.969 (92.721) Test: [50/391] Time 0.104 (0.135) Loss 0.5075 (0.9312) Prec@1 85.938 (76.562) Prec@5 96.875 (92.525) Test: [60/391] Time 0.105 (0.130) Loss 0.9473 (0.8786) Prec@1 78.125 (77.971) Prec@5 92.188 (93.033) Test: [70/391] Time 0.104 (0.126) Loss 1.0208 (0.9068) Prec@1 70.312 (77.058) Prec@5 96.094 (93.035) Test: [80/391] Time 0.107 (0.124) Loss 0.9602 (0.9212) Prec@1 75.000 (76.466) Prec@5 92.188 (93.113) Test: [90/391] Time 0.116 (0.122) Loss 1.1669 (0.9256) Prec@1 59.375 (76.271) Prec@5 94.531 (93.149) Test: [100/391] Time 0.104 (0.121) Loss 0.6127 (0.9171) Prec@1 83.594 (76.168) Prec@5 96.875 (93.425) Test: [110/391] Time 0.100 (0.119) Loss 1.2635 (0.9201) Prec@1 51.562 (75.915) Prec@5 92.969 (93.504) Test: [120/391] Time 0.113 (0.118) Loss 0.6836 (0.9159) Prec@1 85.938 (76.143) Prec@5 95.312 (93.563) Test: [130/391] Time 0.107 (0.117) Loss 0.4653 (0.9095) Prec@1 92.188 (76.396) Prec@5 96.094 (93.631) Test: [140/391] Time 0.165 (0.117) Loss 1.2533 (0.9102) Prec@1 68.750 (76.258) Prec@5 90.625 (93.689) Test: [150/391] Time 0.102 (0.116) Loss 0.8708 (0.9151) Prec@1 71.875 (76.237) Prec@5 95.312 (93.564) Test: [160/391] Time 0.109 (0.115) Loss 0.9918 (0.9225) Prec@1 71.094 (76.014) Prec@5 91.406 (93.473) Test: [170/391] Time 0.110 (0.115) Loss 1.6642 (0.9526) Prec@1 57.812 (75.420) Prec@5 85.156 (93.110) Test: [180/391] Time 0.104 (0.114) Loss 1.9874 (0.9841) Prec@1 50.781 (74.728) Prec@5 87.500 (92.762) Test: [190/391] Time 0.101 (0.114) Loss 2.0390 (1.0180) Prec@1 57.031 (74.051) Prec@5 85.938 (92.347) Test: [200/391] Time 0.110 (0.114) Loss 0.9816 (1.0497) Prec@1 71.875 (73.469) Prec@5 93.750 (91.947) Test: [210/391] Time 0.110 (0.113) Loss 1.6044 (1.0693) Prec@1 64.062 (73.134) Prec@5 85.156 (91.725) Test: [220/391] Time 0.111 (0.113) Loss 0.6040 (1.0809) Prec@1 85.156 (72.932) Prec@5 95.312 (91.502) Test: [230/391] Time 0.108 (0.113) Loss 1.9374 (1.0935) Prec@1 54.688 (72.724) Prec@5 83.594 (91.342) Test: [240/391] Time 0.100 (0.113) Loss 1.3972 (1.1017) Prec@1 73.438 (72.637) Prec@5 85.156 (91.202) Test: [250/391] Time 0.105 (0.112) Loss 0.8482 (1.1274) Prec@1 78.906 (71.993) Prec@5 89.844 (90.877) Test: [260/391] Time 0.113 (0.112) Loss 1.3441 (1.1404) Prec@1 67.969 (71.719) Prec@5 88.281 (90.730) Test: [270/391] Time 0.109 (0.112) Loss 1.9646 (1.1504) Prec@1 53.125 (71.492) Prec@5 80.469 (90.593) Test: [280/391] Time 0.109 (0.112) Loss 1.2328 (1.1565) Prec@1 67.969 (71.419) Prec@5 91.406 (90.517) Test: [290/391] Time 0.099 (0.112) Loss 1.6274 (1.1672) Prec@1 52.344 (71.201) Prec@5 90.625 (90.332) Test: [300/391] Time 0.107 (0.111) Loss 1.2434 (1.1763) Prec@1 75.000 (71.042) Prec@5 86.719 (90.194) Test: [310/391] Time 0.105 (0.111) Loss 1.5708 (1.1844) Prec@1 63.281 (70.915) Prec@5 84.375 (90.042) Test: [320/391] Time 0.111 (0.111) Loss 0.8264 (1.1924) Prec@1 83.594 (70.799) Prec@5 93.750 (89.970) Test: [330/391] Time 0.112 (0.111) Loss 1.9779 (1.2116) Prec@1 54.688 (70.400) Prec@5 80.469 (89.709) Test: [340/391] Time 0.102 (0.111) Loss 1.1380 (1.2175) Prec@1 64.844 (70.203) Prec@5 94.531 (89.651) Test: [350/391] Time 0.102 (0.111) Loss 1.2081 (1.2218) Prec@1 68.750 (70.137) Prec@5 89.844 (89.559) Test: [360/391] Time 0.108 (0.111) Loss 1.4626 (1.2309) Prec@1 58.594 (69.945) Prec@5 89.844 (89.489) Test: [370/391] Time 0.111 (0.111) Loss 1.1944 (1.2254) Prec@1 67.969 (70.037) Prec@5 93.750 (89.549) Test: [380/391] Time 0.101 (0.111) Loss 1.0427 (1.2274) Prec@1 74.219 (69.970) Prec@5 90.625 (89.528) Test: [390/391] Time 0.070 (0.110) Loss 2.0541 (1.2210) Prec@1 36.250 (70.114) Prec@5 81.250 (89.596) * Prec@1 70.114 Prec@5 89.596 Epoch: [84][0/10010] Time 3.000 (3.000) Data 2.814 (2.814) Loss 1.0771 (1.0771) Prec@1 72.656 (72.656) Prec@5 92.188 (92.188) Epoch: [84][10/10010] Time 0.310 (0.559) Data 0.001 (0.256) Loss 1.4348 (1.3784) Prec@1 68.750 (67.543) Prec@5 86.719 (86.861) Epoch: [84][20/10010] Time 0.313 (0.444) Data 0.001 (0.135) Loss 1.6921 (1.3416) Prec@1 57.031 (68.304) Prec@5 84.375 (87.388) Epoch: [84][30/10010] Time 0.312 (0.403) Data 0.001 (0.091) Loss 1.1785 (1.3330) Prec@1 71.094 (68.574) Prec@5 90.625 (87.626) Epoch: [84][40/10010] Time 0.316 (0.382) Data 0.001 (0.069) Loss 1.2631 (1.3294) Prec@1 75.000 (68.750) Prec@5 86.719 (87.576) Epoch: [84][50/10010] Time 0.341 (0.371) Data 0.000 (0.056) Loss 1.4725 (1.3143) Prec@1 63.281 (69.102) Prec@5 84.375 (87.653) Epoch: [84][60/10010] Time 0.330 (0.364) Data 0.001 (0.047) Loss 1.6154 (1.3227) Prec@1 62.500 (69.057) Prec@5 79.688 (87.436) Epoch: [84][70/10010] Time 0.336 (0.358) Data 0.001 (0.040) Loss 1.1400 (1.3399) Prec@1 74.219 (68.475) Prec@5 90.625 (87.236) Epoch: [84][80/10010] Time 0.341 (0.354) Data 0.001 (0.035) Loss 1.4990 (1.3507) Prec@1 72.656 (68.519) Prec@5 82.812 (86.921) Epoch: [84][90/10010] Time 0.341 (0.352) Data 0.000 (0.032) Loss 1.2316 (1.3490) Prec@1 69.531 (68.450) Prec@5 90.625 (87.096) Epoch: [84][100/10010] Time 0.335 (0.350) Data 0.001 (0.029) Loss 1.5159 (1.3433) Prec@1 64.062 (68.425) Prec@5 81.250 (87.113) Epoch: [84][110/10010] Time 0.319 (0.349) Data 0.001 (0.026) Loss 1.7437 (1.3396) Prec@1 63.281 (68.630) Prec@5 80.469 (87.127) Epoch: [84][120/10010] Time 0.308 (0.346) Data 0.001 (0.024) Loss 1.1709 (1.3379) Prec@1 73.438 (68.653) Prec@5 91.406 (87.222) Epoch: [84][130/10010] Time 0.339 (0.345) Data 0.001 (0.022) Loss 1.4037 (1.3476) Prec@1 63.281 (68.476) Prec@5 88.281 (87.035) Epoch: [84][140/10010] Time 0.316 (0.344) Data 0.001 (0.021) Loss 1.2964 (1.3459) Prec@1 65.625 (68.462) Prec@5 85.938 (87.029) Epoch: [84][150/10010] Time 0.327 (0.343) Data 0.001 (0.019) Loss 1.1703 (1.3439) Prec@1 75.000 (68.507) Prec@5 87.500 (87.055) Epoch: [84][160/10010] Time 0.338 (0.342) Data 0.000 (0.018) Loss 1.4148 (1.3450) Prec@1 62.500 (68.493) Prec@5 85.938 (87.054) Epoch: [84][170/10010] Time 0.332 (0.342) Data 0.001 (0.017) Loss 1.2318 (1.3419) Prec@1 67.969 (68.604) Prec@5 91.406 (87.034) Epoch: [84][180/10010] Time 0.332 (0.341) Data 0.001 (0.016) Loss 1.4440 (1.3407) Prec@1 71.094 (68.724) Prec@5 86.719 (86.995) Epoch: [84][190/10010] Time 0.334 (0.340) Data 0.000 (0.015) Loss 1.6172 (1.3415) Prec@1 68.750 (68.742) Prec@5 83.594 (86.948) Epoch: [84][200/10010] Time 0.333 (0.340) Data 0.001 (0.015) Loss 1.3850 (1.3449) Prec@1 65.625 (68.653) Prec@5 86.719 (86.913) Epoch: [84][210/10010] Time 0.320 (0.339) Data 0.001 (0.014) Loss 1.2770 (1.3473) Prec@1 66.406 (68.646) Prec@5 89.844 (86.889) Epoch: [84][220/10010] Time 0.319 (0.339) Data 0.001 (0.013) Loss 1.4699 (1.3446) Prec@1 64.844 (68.662) Prec@5 85.156 (86.913) Epoch: [84][230/10010] Time 0.318 (0.338) Data 0.000 (0.013) Loss 1.3489 (1.3431) Prec@1 69.531 (68.693) Prec@5 88.281 (86.932) Epoch: [84][240/10010] Time 0.317 (0.337) Data 0.001 (0.012) Loss 1.4548 (1.3457) Prec@1 67.969 (68.624) Prec@5 89.062 (86.891) Epoch: [84][250/10010] Time 0.331 (0.336) Data 0.001 (0.012) Loss 1.3840 (1.3455) Prec@1 69.531 (68.647) Prec@5 88.281 (86.927) Epoch: [84][260/10010] Time 0.310 (0.336) Data 0.001 (0.011) Loss 1.3896 (1.3442) Prec@1 71.094 (68.660) Prec@5 83.594 (86.946) Epoch: [84][270/10010] Time 0.336 (0.336) Data 0.001 (0.011) Loss 1.2876 (1.3420) Prec@1 71.094 (68.767) Prec@5 86.719 (86.998) Epoch: [84][280/10010] Time 0.339 (0.335) Data 0.001 (0.011) Loss 1.7779 (1.3459) Prec@1 60.156 (68.708) Prec@5 76.562 (86.883) Epoch: [84][290/10010] Time 0.318 (0.335) Data 0.001 (0.010) Loss 1.2802 (1.3455) Prec@1 68.750 (68.720) Prec@5 88.281 (86.893) Epoch: [84][300/10010] Time 0.313 (0.335) Data 0.001 (0.010) Loss 1.1582 (1.3457) Prec@1 66.406 (68.719) Prec@5 89.062 (86.895) Epoch: [84][310/10010] Time 0.321 (0.334) Data 0.001 (0.010) Loss 0.9716 (1.3477) Prec@1 78.906 (68.717) Prec@5 92.188 (86.880) Epoch: [84][320/10010] Time 0.338 (0.334) Data 0.001 (0.009) Loss 1.4643 (1.3496) Prec@1 67.188 (68.706) Prec@5 85.938 (86.843) Epoch: [84][330/10010] Time 0.322 (0.334) Data 0.001 (0.009) Loss 1.2718 (1.3497) Prec@1 70.312 (68.717) Prec@5 88.281 (86.841) Epoch: [84][340/10010] Time 0.318 (0.333) Data 0.001 (0.009) Loss 1.3865 (1.3496) Prec@1 66.406 (68.748) Prec@5 85.156 (86.831) Epoch: [84][350/10010] Time 0.339 (0.333) Data 0.001 (0.009) Loss 1.5878 (1.3513) Prec@1 60.938 (68.717) Prec@5 82.031 (86.801) Epoch: [84][360/10010] Time 0.337 (0.333) Data 0.001 (0.008) Loss 1.5116 (1.3512) Prec@1 67.969 (68.711) Prec@5 81.250 (86.807) Epoch: [84][370/10010] Time 0.334 (0.333) Data 0.001 (0.008) Loss 1.3777 (1.3499) Prec@1 66.406 (68.744) Prec@5 87.500 (86.837) Epoch: [84][380/10010] Time 0.322 (0.332) Data 0.001 (0.008) Loss 1.1125 (1.3501) Prec@1 73.438 (68.787) Prec@5 89.844 (86.825) Epoch: [84][390/10010] Time 0.342 (0.332) Data 0.000 (0.008) Loss 1.4396 (1.3511) Prec@1 63.281 (68.758) Prec@5 85.156 (86.805) Epoch: [84][400/10010] Time 0.330 (0.332) Data 0.001 (0.008) Loss 1.2348 (1.3506) Prec@1 70.312 (68.756) Prec@5 89.844 (86.808) Epoch: [84][410/10010] Time 0.337 (0.332) Data 0.001 (0.008) Loss 1.4895 (1.3495) Prec@1 67.188 (68.754) Prec@5 86.719 (86.823) Epoch: [84][420/10010] Time 0.329 (0.332) Data 0.001 (0.007) Loss 1.5316 (1.3493) Prec@1 64.062 (68.772) Prec@5 85.938 (86.825) Epoch: [84][430/10010] Time 0.322 (0.332) Data 0.001 (0.007) Loss 1.1623 (1.3483) Prec@1 73.438 (68.775) Prec@5 89.062 (86.838) Epoch: [84][440/10010] Time 0.325 (0.332) Data 0.001 (0.007) Loss 1.3146 (1.3466) Prec@1 71.094 (68.796) Prec@5 86.719 (86.855) Epoch: [84][450/10010] Time 0.322 (0.332) Data 0.001 (0.007) Loss 1.4752 (1.3474) Prec@1 62.500 (68.783) Prec@5 85.156 (86.864) Epoch: [84][460/10010] Time 0.322 (0.331) Data 0.001 (0.007) Loss 1.1865 (1.3454) Prec@1 71.875 (68.826) Prec@5 90.625 (86.914) Epoch: [84][470/10010] Time 0.325 (0.331) Data 0.001 (0.007) Loss 1.2838 (1.3442) Prec@1 71.094 (68.856) Prec@5 86.719 (86.924) Epoch: [84][480/10010] Time 0.317 (0.331) Data 0.001 (0.007) Loss 1.3086 (1.3423) Prec@1 70.312 (68.898) Prec@5 87.500 (86.958) Epoch: [84][490/10010] Time 0.335 (0.331) Data 0.000 (0.006) Loss 1.1527 (1.3418) Prec@1 74.219 (68.917) Prec@5 86.719 (86.948) Epoch: [84][500/10010] Time 0.313 (0.331) Data 0.001 (0.006) Loss 1.5301 (1.3423) Prec@1 65.625 (68.879) Prec@5 83.594 (86.932) Epoch: [84][510/10010] Time 0.320 (0.331) Data 0.001 (0.006) Loss 1.4443 (1.3431) Prec@1 66.406 (68.886) Prec@5 86.719 (86.908) Epoch: [84][520/10010] Time 0.341 (0.331) Data 0.001 (0.006) Loss 1.2840 (1.3399) Prec@1 65.625 (68.934) Prec@5 90.625 (86.957) Epoch: [84][530/10010] Time 0.325 (0.331) Data 0.000 (0.006) Loss 1.4191 (1.3407) Prec@1 68.750 (68.903) Prec@5 81.250 (86.962) Epoch: [84][540/10010] Time 0.336 (0.331) Data 0.001 (0.006) Loss 1.6360 (1.3435) Prec@1 60.938 (68.848) Prec@5 85.938 (86.931) Epoch: [84][550/10010] Time 0.320 (0.331) Data 0.001 (0.006) Loss 1.4635 (1.3445) Prec@1 70.312 (68.851) Prec@5 83.594 (86.919) Epoch: [84][560/10010] Time 0.326 (0.331) Data 0.001 (0.006) Loss 1.4385 (1.3442) Prec@1 62.500 (68.864) Prec@5 84.375 (86.916) Epoch: [84][570/10010] Time 0.316 (0.330) Data 0.001 (0.006) Loss 1.5685 (1.3442) Prec@1 62.500 (68.862) Prec@5 85.938 (86.920) Epoch: [84][580/10010] Time 0.320 (0.330) Data 0.001 (0.006) Loss 1.1678 (1.3435) Prec@1 64.062 (68.866) Prec@5 89.062 (86.938) Epoch: [84][590/10010] Time 0.317 (0.330) Data 0.001 (0.005) Loss 1.4351 (1.3443) Prec@1 71.094 (68.853) Prec@5 83.594 (86.930) Epoch: [84][600/10010] Time 0.318 (0.330) Data 0.001 (0.005) Loss 1.1876 (1.3437) Prec@1 71.094 (68.859) Prec@5 89.844 (86.944) Epoch: [84][610/10010] Time 0.322 (0.330) Data 0.001 (0.005) Loss 1.1637 (1.3415) Prec@1 71.875 (68.916) Prec@5 92.969 (86.982) Epoch: [84][620/10010] Time 0.327 (0.330) Data 0.001 (0.005) Loss 1.2994 (1.3424) Prec@1 71.094 (68.907) Prec@5 85.156 (86.969) Epoch: [84][630/10010] Time 0.337 (0.330) Data 0.001 (0.005) Loss 1.1162 (1.3411) Prec@1 75.000 (68.932) Prec@5 89.844 (86.996) Epoch: [84][640/10010] Time 0.314 (0.330) Data 0.000 (0.005) Loss 0.9700 (1.3415) Prec@1 78.906 (68.905) Prec@5 90.625 (86.981) Epoch: [84][650/10010] Time 0.336 (0.330) Data 0.001 (0.005) Loss 1.2065 (1.3419) Prec@1 73.438 (68.907) Prec@5 92.969 (86.994) Epoch: [84][660/10010] Time 0.330 (0.330) Data 0.001 (0.005) Loss 1.5603 (1.3420) Prec@1 61.719 (68.898) Prec@5 84.375 (86.999) Epoch: [84][670/10010] Time 0.343 (0.330) Data 0.001 (0.005) Loss 1.0764 (1.3423) Prec@1 77.344 (68.908) Prec@5 90.625 (87.001) Epoch: [84][680/10010] Time 0.326 (0.330) Data 0.001 (0.005) Loss 1.4419 (1.3422) Prec@1 67.188 (68.922) Prec@5 85.938 (87.007) Epoch: [84][690/10010] Time 0.313 (0.329) Data 0.001 (0.005) Loss 1.6081 (1.3424) Prec@1 64.062 (68.931) Prec@5 82.812 (87.012) Epoch: [84][700/10010] Time 0.326 (0.329) Data 0.000 (0.005) Loss 1.2497 (1.3408) Prec@1 67.188 (68.942) Prec@5 88.281 (87.043) Epoch: [84][710/10010] Time 0.315 (0.329) Data 0.001 (0.005) Loss 1.1960 (1.3409) Prec@1 73.438 (68.934) Prec@5 90.625 (87.041) Epoch: [84][720/10010] Time 0.318 (0.329) Data 0.000 (0.005) Loss 1.0336 (1.3405) Prec@1 71.875 (68.934) Prec@5 92.188 (87.044) Epoch: [84][730/10010] Time 0.320 (0.329) Data 0.001 (0.005) Loss 1.2155 (1.3406) Prec@1 68.750 (68.920) Prec@5 89.062 (87.037) Epoch: [84][740/10010] Time 0.320 (0.329) Data 0.001 (0.005) Loss 1.2086 (1.3412) Prec@1 71.094 (68.917) Prec@5 88.281 (87.023) Epoch: [84][750/10010] Time 0.339 (0.329) Data 0.000 (0.004) Loss 1.4513 (1.3407) Prec@1 71.875 (68.909) Prec@5 85.156 (87.028) Epoch: [84][760/10010] Time 0.319 (0.329) Data 0.001 (0.004) Loss 1.7078 (1.3400) Prec@1 57.812 (68.900) Prec@5 82.812 (87.032) Epoch: [84][770/10010] Time 0.322 (0.329) Data 0.000 (0.004) Loss 1.3513 (1.3404) Prec@1 67.188 (68.882) Prec@5 85.938 (87.027) Epoch: [84][780/10010] Time 0.323 (0.329) Data 0.001 (0.004) Loss 1.3398 (1.3415) Prec@1 64.062 (68.876) Prec@5 87.500 (87.013) Epoch: [84][790/10010] Time 0.322 (0.329) Data 0.001 (0.004) Loss 1.5018 (1.3413) Prec@1 70.312 (68.880) Prec@5 84.375 (87.022) Epoch: [84][800/10010] Time 0.337 (0.329) Data 0.001 (0.004) Loss 1.3640 (1.3412) Prec@1 74.219 (68.879) Prec@5 85.156 (87.031) Epoch: [84][810/10010] Time 0.329 (0.329) Data 0.001 (0.004) Loss 1.3466 (1.3403) Prec@1 68.750 (68.888) Prec@5 85.156 (87.043) Epoch: [84][820/10010] Time 0.310 (0.329) Data 0.001 (0.004) Loss 1.6072 (1.3409) Prec@1 66.406 (68.883) Prec@5 85.156 (87.032) Epoch: [84][830/10010] Time 0.322 (0.329) Data 0.001 (0.004) Loss 1.5177 (1.3414) Prec@1 67.969 (68.881) Prec@5 84.375 (87.022) Epoch: [84][840/10010] Time 0.311 (0.329) Data 0.001 (0.004) Loss 1.1931 (1.3419) Prec@1 69.531 (68.863) Prec@5 89.844 (87.013) Epoch: [84][850/10010] Time 0.320 (0.329) Data 0.000 (0.004) Loss 1.2510 (1.3423) Prec@1 70.312 (68.846) Prec@5 88.281 (86.999) Epoch: [84][860/10010] Time 0.339 (0.329) Data 0.001 (0.004) Loss 1.3903 (1.3419) Prec@1 67.969 (68.862) Prec@5 87.500 (87.016) Epoch: [84][870/10010] Time 0.323 (0.329) Data 0.001 (0.004) Loss 1.4108 (1.3426) Prec@1 64.062 (68.846) Prec@5 84.375 (87.018) Epoch: [84][880/10010] Time 0.328 (0.329) Data 0.001 (0.004) Loss 1.4141 (1.3423) Prec@1 64.844 (68.856) Prec@5 84.375 (87.031) Epoch: [84][890/10010] Time 0.333 (0.329) Data 0.001 (0.004) Loss 1.4714 (1.3424) Prec@1 70.312 (68.849) Prec@5 85.156 (87.036) Epoch: [84][900/10010] Time 0.333 (0.329) Data 0.001 (0.004) Loss 1.1858 (1.3421) Prec@1 71.875 (68.868) Prec@5 87.500 (87.038) Epoch: [84][910/10010] Time 0.316 (0.329) Data 0.001 (0.004) Loss 1.2068 (1.3420) Prec@1 71.094 (68.879) Prec@5 88.281 (87.038) Epoch: [84][920/10010] Time 0.317 (0.329) Data 0.001 (0.004) Loss 1.4351 (1.3418) Prec@1 67.188 (68.874) Prec@5 84.375 (87.049) Epoch: [84][930/10010] Time 0.323 (0.329) Data 0.000 (0.004) Loss 1.2515 (1.3425) Prec@1 68.750 (68.852) Prec@5 90.625 (87.040) Epoch: [84][940/10010] Time 0.326 (0.328) Data 0.000 (0.004) Loss 1.5140 (1.3435) Prec@1 68.750 (68.836) Prec@5 86.719 (87.018) Epoch: [84][950/10010] Time 0.336 (0.328) Data 0.001 (0.004) Loss 1.3032 (1.3433) Prec@1 70.312 (68.846) Prec@5 89.062 (87.026) Epoch: [84][960/10010] Time 0.320 (0.328) Data 0.000 (0.004) Loss 1.1868 (1.3434) Prec@1 68.750 (68.842) Prec@5 89.844 (87.005) Epoch: [84][970/10010] Time 0.327 (0.329) Data 0.001 (0.004) Loss 1.6493 (1.3444) Prec@1 63.281 (68.825) Prec@5 82.031 (87.002) Epoch: [84][980/10010] Time 0.315 (0.328) Data 0.001 (0.004) Loss 1.2525 (1.3437) Prec@1 69.531 (68.832) Prec@5 84.375 (87.013) Epoch: [84][990/10010] Time 0.331 (0.328) Data 0.001 (0.004) Loss 1.4430 (1.3437) Prec@1 63.281 (68.836) Prec@5 84.375 (87.014) Epoch: [84][1000/10010] Time 0.327 (0.328) Data 0.001 (0.004) Loss 1.4037 (1.3443) Prec@1 67.969 (68.826) Prec@5 86.719 (87.014) Epoch: [84][1010/10010] Time 0.316 (0.328) Data 0.001 (0.003) Loss 1.2952 (1.3438) Prec@1 68.750 (68.830) Prec@5 85.938 (87.019) Epoch: [84][1020/10010] Time 0.320 (0.328) Data 0.001 (0.003) Loss 1.3355 (1.3431) Prec@1 71.094 (68.866) Prec@5 85.156 (87.019) Epoch: [84][1030/10010] Time 0.330 (0.328) Data 0.001 (0.003) Loss 1.2812 (1.3427) Prec@1 71.094 (68.881) Prec@5 85.156 (87.023) Epoch: [84][1040/10010] Time 0.330 (0.328) Data 0.001 (0.003) Loss 1.2352 (1.3422) Prec@1 64.062 (68.881) Prec@5 86.719 (87.027) Epoch: [84][1050/10010] Time 0.317 (0.328) Data 0.000 (0.003) Loss 1.5056 (1.3424) Prec@1 64.844 (68.876) Prec@5 85.938 (87.029) Epoch: [84][1060/10010] Time 0.338 (0.328) Data 0.001 (0.003) Loss 1.3289 (1.3418) Prec@1 67.969 (68.891) Prec@5 89.062 (87.040) Epoch: [84][1070/10010] Time 0.320 (0.328) Data 0.001 (0.003) Loss 1.4601 (1.3407) Prec@1 64.062 (68.906) Prec@5 82.812 (87.052) Epoch: [84][1080/10010] Time 0.335 (0.328) Data 0.001 (0.003) Loss 1.4372 (1.3403) Prec@1 67.969 (68.906) Prec@5 88.281 (87.064) Epoch: [84][1090/10010] Time 0.341 (0.328) Data 0.000 (0.003) Loss 1.5548 (1.3407) Prec@1 67.969 (68.893) Prec@5 82.812 (87.057) Epoch: [84][1100/10010] Time 0.330 (0.328) Data 0.001 (0.003) Loss 1.2017 (1.3410) Prec@1 70.312 (68.898) Prec@5 88.281 (87.049) Epoch: [84][1110/10010] Time 0.340 (0.328) Data 0.001 (0.003) Loss 1.4908 (1.3408) Prec@1 67.969 (68.902) Prec@5 87.500 (87.051) Epoch: [84][1120/10010] Time 0.321 (0.328) Data 0.001 (0.003) Loss 1.4656 (1.3408) Prec@1 64.844 (68.905) Prec@5 86.719 (87.048) Epoch: [84][1130/10010] Time 0.342 (0.328) Data 0.001 (0.003) Loss 1.2983 (1.3401) Prec@1 73.438 (68.926) Prec@5 88.281 (87.064) Epoch: [84][1140/10010] Time 0.340 (0.328) Data 0.000 (0.003) Loss 1.3187 (1.3399) Prec@1 70.312 (68.923) Prec@5 89.844 (87.075) Epoch: [84][1150/10010] Time 0.321 (0.328) Data 0.001 (0.003) Loss 1.3060 (1.3397) Prec@1 71.094 (68.920) Prec@5 85.938 (87.078) Epoch: [84][1160/10010] Time 0.322 (0.328) Data 0.000 (0.003) Loss 1.5090 (1.3401) Prec@1 69.531 (68.912) Prec@5 83.594 (87.070) Epoch: [84][1170/10010] Time 0.317 (0.328) Data 0.001 (0.003) Loss 1.2330 (1.3399) Prec@1 71.875 (68.911) Prec@5 89.844 (87.073) Epoch: [84][1180/10010] Time 0.341 (0.328) Data 0.001 (0.003) Loss 1.7361 (1.3406) Prec@1 64.062 (68.906) Prec@5 83.594 (87.073) Epoch: [84][1190/10010] Time 0.336 (0.328) Data 0.001 (0.003) Loss 1.3173 (1.3404) Prec@1 70.312 (68.907) Prec@5 89.844 (87.076) Epoch: [84][1200/10010] Time 0.325 (0.328) Data 0.000 (0.003) Loss 1.2205 (1.3406) Prec@1 74.219 (68.905) Prec@5 89.062 (87.071) Epoch: [84][1210/10010] Time 0.327 (0.328) Data 0.000 (0.003) Loss 1.2620 (1.3402) Prec@1 71.875 (68.910) Prec@5 87.500 (87.078) Epoch: [84][1220/10010] Time 0.323 (0.328) Data 0.001 (0.003) Loss 1.1032 (1.3402) Prec@1 71.875 (68.903) Prec@5 86.719 (87.079) Epoch: [84][1230/10010] Time 0.318 (0.328) Data 0.001 (0.003) Loss 1.2187 (1.3404) Prec@1 73.438 (68.894) Prec@5 89.844 (87.079) Epoch: [84][1240/10010] Time 0.338 (0.328) Data 0.001 (0.003) Loss 1.4348 (1.3407) Prec@1 64.062 (68.883) Prec@5 85.938 (87.075) Epoch: [84][1250/10010] Time 0.333 (0.328) Data 0.000 (0.003) Loss 1.4629 (1.3399) Prec@1 67.188 (68.904) Prec@5 86.719 (87.088) Epoch: [84][1260/10010] Time 0.335 (0.328) Data 0.001 (0.003) Loss 1.4711 (1.3404) Prec@1 59.375 (68.883) Prec@5 86.719 (87.078) Epoch: [84][1270/10010] Time 0.333 (0.328) Data 0.001 (0.003) Loss 1.5416 (1.3400) Prec@1 70.312 (68.885) Prec@5 84.375 (87.088) Epoch: [84][1280/10010] Time 0.333 (0.328) Data 0.001 (0.003) Loss 1.3144 (1.3403) Prec@1 72.656 (68.885) Prec@5 89.844 (87.090) Epoch: [84][1290/10010] Time 0.337 (0.328) Data 0.001 (0.003) Loss 1.4576 (1.3404) Prec@1 67.969 (68.883) Prec@5 84.375 (87.089) Epoch: [84][1300/10010] Time 0.315 (0.328) Data 0.001 (0.003) Loss 1.5318 (1.3406) Prec@1 63.281 (68.877) Prec@5 85.938 (87.084) Epoch: [84][1310/10010] Time 0.341 (0.328) Data 0.001 (0.003) Loss 1.4377 (1.3413) Prec@1 63.281 (68.870) Prec@5 83.594 (87.075) Epoch: [84][1320/10010] Time 0.320 (0.328) Data 0.001 (0.003) Loss 1.1406 (1.3413) Prec@1 78.906 (68.873) Prec@5 89.844 (87.075) Epoch: [84][1330/10010] Time 0.319 (0.328) Data 0.001 (0.003) Loss 1.2479 (1.3410) Prec@1 73.438 (68.881) Prec@5 85.938 (87.076) Epoch: [84][1340/10010] Time 0.335 (0.328) Data 0.001 (0.003) Loss 1.6284 (1.3412) Prec@1 64.062 (68.876) Prec@5 82.812 (87.071) Epoch: [84][1350/10010] Time 0.327 (0.328) Data 0.001 (0.003) Loss 1.3901 (1.3413) Prec@1 70.312 (68.878) Prec@5 85.156 (87.070) Epoch: [84][1360/10010] Time 0.313 (0.328) Data 0.001 (0.003) Loss 1.2657 (1.3417) Prec@1 70.312 (68.875) Prec@5 89.062 (87.064) Epoch: [84][1370/10010] Time 0.315 (0.328) Data 0.001 (0.003) Loss 1.3621 (1.3415) Prec@1 65.625 (68.878) Prec@5 88.281 (87.066) Epoch: [84][1380/10010] Time 0.336 (0.328) Data 0.001 (0.003) Loss 1.4793 (1.3418) Prec@1 61.719 (68.878) Prec@5 86.719 (87.062) Epoch: [84][1390/10010] Time 0.336 (0.328) Data 0.001 (0.003) Loss 1.0583 (1.3415) Prec@1 76.562 (68.881) Prec@5 91.406 (87.068) Epoch: [84][1400/10010] Time 0.330 (0.328) Data 0.001 (0.003) Loss 1.0653 (1.3413) Prec@1 78.906 (68.893) Prec@5 91.406 (87.069) Epoch: [84][1410/10010] Time 0.332 (0.328) Data 0.002 (0.003) Loss 1.2469 (1.3414) Prec@1 69.531 (68.898) Prec@5 86.719 (87.068) Epoch: [84][1420/10010] Time 0.310 (0.328) Data 0.001 (0.003) Loss 1.2968 (1.3413) Prec@1 71.094 (68.900) Prec@5 87.500 (87.070) Epoch: [84][1430/10010] Time 0.321 (0.328) Data 0.001 (0.003) Loss 1.4560 (1.3411) Prec@1 62.500 (68.901) Prec@5 85.156 (87.074) Epoch: [84][1440/10010] Time 0.337 (0.328) Data 0.001 (0.003) Loss 1.4844 (1.3411) Prec@1 64.062 (68.896) Prec@5 84.375 (87.073) Epoch: [84][1450/10010] Time 0.326 (0.328) Data 0.001 (0.003) Loss 1.3129 (1.3412) Prec@1 67.969 (68.889) Prec@5 85.156 (87.067) Epoch: [84][1460/10010] Time 0.321 (0.328) Data 0.000 (0.003) Loss 1.5942 (1.3417) Prec@1 64.062 (68.874) Prec@5 82.031 (87.059) Epoch: [84][1470/10010] Time 0.322 (0.328) Data 0.000 (0.003) Loss 1.0549 (1.3414) Prec@1 75.000 (68.882) Prec@5 91.406 (87.059) Epoch: [84][1480/10010] Time 0.337 (0.328) Data 0.001 (0.003) Loss 1.4387 (1.3414) Prec@1 66.406 (68.890) Prec@5 86.719 (87.068) Epoch: [84][1490/10010] Time 0.318 (0.328) Data 0.001 (0.003) Loss 1.1515 (1.3404) Prec@1 72.656 (68.911) Prec@5 89.844 (87.082) Epoch: [84][1500/10010] Time 0.337 (0.328) Data 0.001 (0.003) Loss 1.4272 (1.3407) Prec@1 67.969 (68.910) Prec@5 85.156 (87.076) Epoch: [84][1510/10010] Time 0.338 (0.328) Data 0.000 (0.003) Loss 1.1450 (1.3402) Prec@1 75.000 (68.925) Prec@5 89.062 (87.073) Epoch: [84][1520/10010] Time 0.333 (0.328) Data 0.001 (0.003) Loss 1.6358 (1.3407) Prec@1 67.188 (68.917) Prec@5 79.688 (87.068) Epoch: [84][1530/10010] Time 0.334 (0.328) Data 0.000 (0.003) Loss 1.2815 (1.3404) Prec@1 70.312 (68.919) Prec@5 87.500 (87.073) Epoch: [84][1540/10010] Time 0.321 (0.328) Data 0.001 (0.003) Loss 1.5603 (1.3410) Prec@1 67.188 (68.910) Prec@5 83.594 (87.064) Epoch: [84][1550/10010] Time 0.326 (0.328) Data 0.001 (0.003) Loss 1.5253 (1.3411) Prec@1 67.969 (68.910) Prec@5 85.938 (87.068) Epoch: [84][1560/10010] Time 0.320 (0.328) Data 0.001 (0.002) Loss 1.1370 (1.3408) Prec@1 69.531 (68.905) Prec@5 92.969 (87.075) Epoch: [84][1570/10010] Time 0.341 (0.328) Data 0.001 (0.002) Loss 1.3163 (1.3408) Prec@1 69.531 (68.911) Prec@5 90.625 (87.080) Epoch: [84][1580/10010] Time 0.322 (0.328) Data 0.000 (0.002) Loss 1.1422 (1.3414) Prec@1 71.094 (68.896) Prec@5 86.719 (87.074) Epoch: [84][1590/10010] Time 0.341 (0.328) Data 0.000 (0.002) Loss 1.2201 (1.3412) Prec@1 67.969 (68.895) Prec@5 89.062 (87.076) Epoch: [84][1600/10010] Time 0.324 (0.328) Data 0.001 (0.002) Loss 1.2073 (1.3414) Prec@1 73.438 (68.896) Prec@5 86.719 (87.075) Epoch: [84][1610/10010] Time 0.330 (0.328) Data 0.001 (0.002) Loss 1.4655 (1.3421) Prec@1 65.625 (68.893) Prec@5 88.281 (87.066) Epoch: [84][1620/10010] Time 0.334 (0.328) Data 0.000 (0.002) Loss 1.3734 (1.3417) Prec@1 64.844 (68.897) Prec@5 84.375 (87.070) Epoch: [84][1630/10010] Time 0.312 (0.328) Data 0.001 (0.002) Loss 1.4253 (1.3418) Prec@1 67.969 (68.896) Prec@5 84.375 (87.067) Epoch: [84][1640/10010] Time 0.315 (0.328) Data 0.001 (0.002) Loss 1.4409 (1.3419) Prec@1 66.406 (68.899) Prec@5 82.812 (87.062) Epoch: [84][1650/10010] Time 0.320 (0.328) Data 0.001 (0.002) Loss 1.4833 (1.3419) Prec@1 64.062 (68.895) Prec@5 81.250 (87.060) Epoch: [84][1660/10010] Time 0.330 (0.328) Data 0.001 (0.002) Loss 1.4348 (1.3420) Prec@1 64.844 (68.896) Prec@5 88.281 (87.061) Epoch: [84][1670/10010] Time 0.342 (0.328) Data 0.001 (0.002) Loss 1.1018 (1.3415) Prec@1 71.094 (68.909) Prec@5 92.188 (87.067) Epoch: [84][1680/10010] Time 0.342 (0.328) Data 0.000 (0.002) Loss 1.4955 (1.3415) Prec@1 64.062 (68.901) Prec@5 83.594 (87.075) Epoch: [84][1690/10010] Time 0.325 (0.328) Data 0.001 (0.002) Loss 1.4041 (1.3418) Prec@1 67.188 (68.892) Prec@5 84.375 (87.068) Epoch: [84][1700/10010] Time 0.322 (0.328) Data 0.000 (0.002) Loss 1.1797 (1.3423) Prec@1 72.656 (68.877) Prec@5 89.844 (87.058) Epoch: [84][1710/10010] Time 0.314 (0.328) Data 0.001 (0.002) Loss 1.2930 (1.3421) Prec@1 67.969 (68.877) Prec@5 89.062 (87.062) Epoch: [84][1720/10010] Time 0.338 (0.328) Data 0.001 (0.002) Loss 1.2786 (1.3423) Prec@1 69.531 (68.878) Prec@5 90.625 (87.061) Epoch: [84][1730/10010] Time 0.321 (0.328) Data 0.001 (0.002) Loss 1.3295 (1.3424) Prec@1 68.750 (68.871) Prec@5 86.719 (87.062) Epoch: [84][1740/10010] Time 0.321 (0.328) Data 0.001 (0.002) Loss 1.2084 (1.3424) Prec@1 72.656 (68.867) Prec@5 88.281 (87.063) Epoch: [84][1750/10010] Time 0.314 (0.328) Data 0.001 (0.002) Loss 1.4638 (1.3424) Prec@1 63.281 (68.860) Prec@5 84.375 (87.070) Epoch: [84][1760/10010] Time 0.313 (0.328) Data 0.001 (0.002) Loss 1.3250 (1.3425) Prec@1 64.844 (68.858) Prec@5 89.062 (87.067) Epoch: [84][1770/10010] Time 0.333 (0.328) Data 0.000 (0.002) Loss 1.3719 (1.3424) Prec@1 73.438 (68.859) Prec@5 85.938 (87.073) Epoch: [84][1780/10010] Time 0.340 (0.328) Data 0.001 (0.002) Loss 1.4293 (1.3425) Prec@1 64.062 (68.852) Prec@5 86.719 (87.073) Epoch: [84][1790/10010] Time 0.322 (0.328) Data 0.001 (0.002) Loss 1.2060 (1.3425) Prec@1 70.312 (68.854) Prec@5 88.281 (87.073) Epoch: [84][1800/10010] Time 0.313 (0.328) Data 0.001 (0.002) Loss 1.4890 (1.3427) Prec@1 66.406 (68.852) Prec@5 85.156 (87.074) Epoch: [84][1810/10010] Time 0.337 (0.328) Data 0.001 (0.002) Loss 1.4666 (1.3430) Prec@1 64.844 (68.849) Prec@5 83.594 (87.070) Epoch: [84][1820/10010] Time 0.336 (0.328) Data 0.000 (0.002) Loss 1.1163 (1.3426) Prec@1 75.781 (68.857) Prec@5 91.406 (87.076) Epoch: [84][1830/10010] Time 0.317 (0.328) Data 0.001 (0.002) Loss 1.3390 (1.3424) Prec@1 67.188 (68.867) Prec@5 89.062 (87.084) Epoch: [84][1840/10010] Time 0.319 (0.328) Data 0.001 (0.002) Loss 1.0855 (1.3425) Prec@1 71.094 (68.857) Prec@5 92.188 (87.085) Epoch: [84][1850/10010] Time 0.341 (0.328) Data 0.001 (0.002) Loss 1.2353 (1.3421) Prec@1 68.750 (68.856) Prec@5 88.281 (87.091) Epoch: [84][1860/10010] Time 0.320 (0.328) Data 0.001 (0.002) Loss 1.1059 (1.3420) Prec@1 71.094 (68.860) Prec@5 92.969 (87.091) Epoch: [84][1870/10010] Time 0.315 (0.328) Data 0.001 (0.002) Loss 1.2751 (1.3420) Prec@1 71.094 (68.860) Prec@5 89.844 (87.095) Epoch: [84][1880/10010] Time 0.322 (0.328) Data 0.001 (0.002) Loss 1.2494 (1.3416) Prec@1 72.656 (68.866) Prec@5 89.062 (87.108) Epoch: [84][1890/10010] Time 0.319 (0.328) Data 0.000 (0.002) Loss 1.1965 (1.3415) Prec@1 70.312 (68.872) Prec@5 86.719 (87.112) Epoch: [84][1900/10010] Time 0.331 (0.328) Data 0.001 (0.002) Loss 1.1817 (1.3415) Prec@1 69.531 (68.872) Prec@5 90.625 (87.113) Epoch: [84][1910/10010] Time 0.312 (0.328) Data 0.001 (0.002) Loss 1.3212 (1.3417) Prec@1 63.281 (68.866) Prec@5 92.188 (87.113) Epoch: [84][1920/10010] Time 0.337 (0.328) Data 0.001 (0.002) Loss 1.5786 (1.3424) Prec@1 59.375 (68.846) Prec@5 85.938 (87.104) Epoch: [84][1930/10010] Time 0.339 (0.328) Data 0.000 (0.002) Loss 1.7054 (1.3425) Prec@1 64.062 (68.842) Prec@5 81.250 (87.098) Epoch: [84][1940/10010] Time 0.319 (0.328) Data 0.001 (0.002) Loss 1.3179 (1.3428) Prec@1 71.094 (68.838) Prec@5 89.062 (87.095) Epoch: [84][1950/10010] Time 0.323 (0.328) Data 0.000 (0.002) Loss 1.3812 (1.3425) Prec@1 67.188 (68.847) Prec@5 87.500 (87.098) Epoch: [84][1960/10010] Time 0.334 (0.328) Data 0.001 (0.002) Loss 1.3805 (1.3427) Prec@1 67.188 (68.847) Prec@5 87.500 (87.092) Epoch: [84][1970/10010] Time 0.324 (0.328) Data 0.000 (0.002) Loss 1.3514 (1.3427) Prec@1 69.531 (68.842) Prec@5 87.500 (87.091) Epoch: [84][1980/10010] Time 0.328 (0.328) Data 0.001 (0.002) Loss 1.4032 (1.3431) Prec@1 67.188 (68.831) Prec@5 88.281 (87.085) Epoch: [84][1990/10010] Time 0.337 (0.328) Data 0.000 (0.002) Loss 1.2279 (1.3433) Prec@1 70.312 (68.822) Prec@5 88.281 (87.082) Epoch: [84][2000/10010] Time 0.333 (0.328) Data 0.001 (0.002) Loss 1.3079 (1.3434) Prec@1 67.969 (68.816) Prec@5 88.281 (87.079) Epoch: [84][2010/10010] Time 0.317 (0.328) Data 0.001 (0.002) Loss 1.4476 (1.3436) Prec@1 64.062 (68.808) Prec@5 84.375 (87.077) Epoch: [84][2020/10010] Time 0.318 (0.328) Data 0.001 (0.002) Loss 1.2742 (1.3434) Prec@1 68.750 (68.804) Prec@5 88.281 (87.083) Epoch: [84][2030/10010] Time 0.337 (0.328) Data 0.001 (0.002) Loss 1.4516 (1.3433) Prec@1 68.750 (68.805) Prec@5 84.375 (87.086) Epoch: [84][2040/10010] Time 0.320 (0.328) Data 0.001 (0.002) Loss 1.0197 (1.3430) Prec@1 76.562 (68.809) Prec@5 91.406 (87.089) Epoch: [84][2050/10010] Time 0.332 (0.328) Data 0.001 (0.002) Loss 1.4586 (1.3428) Prec@1 64.844 (68.815) Prec@5 85.156 (87.086) Epoch: [84][2060/10010] Time 0.334 (0.328) Data 0.001 (0.002) Loss 1.5601 (1.3434) Prec@1 64.844 (68.798) Prec@5 85.156 (87.080) Epoch: [84][2070/10010] Time 0.332 (0.328) Data 0.001 (0.002) Loss 1.0975 (1.3432) Prec@1 73.438 (68.802) Prec@5 89.844 (87.083) Epoch: [84][2080/10010] Time 0.332 (0.328) Data 0.001 (0.002) Loss 1.2972 (1.3435) Prec@1 70.312 (68.797) Prec@5 85.156 (87.081) Epoch: [84][2090/10010] Time 0.321 (0.328) Data 0.001 (0.002) Loss 1.3126 (1.3435) Prec@1 67.188 (68.794) Prec@5 85.938 (87.079) Epoch: [84][2100/10010] Time 0.342 (0.328) Data 0.001 (0.002) Loss 1.3086 (1.3436) Prec@1 67.188 (68.789) Prec@5 85.156 (87.078) Epoch: [84][2110/10010] Time 0.318 (0.328) Data 0.001 (0.002) Loss 1.6149 (1.3439) Prec@1 57.812 (68.778) Prec@5 82.031 (87.076) Epoch: [84][2120/10010] Time 0.336 (0.328) Data 0.000 (0.002) Loss 1.2708 (1.3440) Prec@1 71.094 (68.781) Prec@5 89.062 (87.074) Epoch: [84][2130/10010] Time 0.335 (0.328) Data 0.001 (0.002) Loss 1.4474 (1.3441) Prec@1 67.188 (68.781) Prec@5 83.594 (87.068) Epoch: [84][2140/10010] Time 0.328 (0.328) Data 0.001 (0.002) Loss 1.4384 (1.3441) Prec@1 64.844 (68.781) Prec@5 83.594 (87.066) Epoch: [84][2150/10010] Time 0.312 (0.328) Data 0.001 (0.002) Loss 1.3933 (1.3444) Prec@1 67.188 (68.775) Prec@5 85.938 (87.062) Epoch: [84][2160/10010] Time 0.337 (0.328) Data 0.001 (0.002) Loss 1.3273 (1.3444) Prec@1 67.188 (68.775) Prec@5 89.062 (87.069) Epoch: [84][2170/10010] Time 0.344 (0.328) Data 0.000 (0.002) Loss 1.3007 (1.3449) Prec@1 63.281 (68.767) Prec@5 88.281 (87.060) Epoch: [84][2180/10010] Time 0.314 (0.328) Data 0.001 (0.002) Loss 1.2252 (1.3445) Prec@1 72.656 (68.779) Prec@5 88.281 (87.064) Epoch: [84][2190/10010] Time 0.331 (0.328) Data 0.001 (0.002) Loss 1.4346 (1.3447) Prec@1 69.531 (68.780) Prec@5 85.938 (87.060) Epoch: [84][2200/10010] Time 0.318 (0.328) Data 0.000 (0.002) Loss 1.2809 (1.3447) Prec@1 72.656 (68.783) Prec@5 89.062 (87.060) Epoch: [84][2210/10010] Time 0.323 (0.328) Data 0.001 (0.002) Loss 1.0587 (1.3447) Prec@1 74.219 (68.778) Prec@5 92.969 (87.063) Epoch: [84][2220/10010] Time 0.335 (0.328) Data 0.001 (0.002) Loss 1.3932 (1.3450) Prec@1 69.531 (68.777) Prec@5 88.281 (87.061) Epoch: [84][2230/10010] Time 0.324 (0.328) Data 0.001 (0.002) Loss 1.3599 (1.3451) Prec@1 68.750 (68.780) Prec@5 91.406 (87.065) Epoch: [84][2240/10010] Time 0.323 (0.328) Data 0.001 (0.002) Loss 1.2507 (1.3450) Prec@1 71.094 (68.785) Prec@5 87.500 (87.066) Epoch: [84][2250/10010] Time 0.319 (0.328) Data 0.000 (0.002) Loss 1.4255 (1.3449) Prec@1 68.750 (68.783) Prec@5 86.719 (87.072) Epoch: [84][2260/10010] Time 0.321 (0.328) Data 0.001 (0.002) Loss 0.9847 (1.3445) Prec@1 74.219 (68.788) Prec@5 92.969 (87.078) Epoch: [84][2270/10010] Time 0.334 (0.328) Data 0.001 (0.002) Loss 1.2772 (1.3450) Prec@1 72.656 (68.783) Prec@5 87.500 (87.070) Epoch: [84][2280/10010] Time 0.313 (0.328) Data 0.001 (0.002) Loss 1.1270 (1.3451) Prec@1 70.312 (68.777) Prec@5 91.406 (87.067) Epoch: [84][2290/10010] Time 0.340 (0.328) Data 0.001 (0.002) Loss 1.2293 (1.3447) Prec@1 71.094 (68.785) Prec@5 90.625 (87.074) Epoch: [84][2300/10010] Time 0.314 (0.328) Data 0.001 (0.002) Loss 1.2394 (1.3446) Prec@1 71.094 (68.792) Prec@5 90.625 (87.073) Epoch: [84][2310/10010] Time 0.332 (0.328) Data 0.001 (0.002) Loss 1.5724 (1.3445) Prec@1 63.281 (68.797) Prec@5 84.375 (87.073) Epoch: [84][2320/10010] Time 0.329 (0.328) Data 0.001 (0.002) Loss 1.2970 (1.3443) Prec@1 69.531 (68.798) Prec@5 89.844 (87.078) Epoch: [84][2330/10010] Time 0.330 (0.328) Data 0.001 (0.002) Loss 1.2542 (1.3442) Prec@1 69.531 (68.801) Prec@5 89.844 (87.079) Epoch: [84][2340/10010] Time 0.316 (0.328) Data 0.001 (0.002) Loss 1.2153 (1.3445) Prec@1 70.312 (68.794) Prec@5 88.281 (87.074) Epoch: [84][2350/10010] Time 0.322 (0.328) Data 0.001 (0.002) Loss 1.1910 (1.3444) Prec@1 75.000 (68.794) Prec@5 87.500 (87.075) Epoch: [84][2360/10010] Time 0.320 (0.328) Data 0.001 (0.002) Loss 1.7202 (1.3445) Prec@1 61.719 (68.796) Prec@5 79.688 (87.074) Epoch: [84][2370/10010] Time 0.319 (0.328) Data 0.001 (0.002) Loss 1.3233 (1.3444) Prec@1 71.094 (68.802) Prec@5 87.500 (87.079) Epoch: [84][2380/10010] Time 0.336 (0.328) Data 0.001 (0.002) Loss 1.1809 (1.3443) Prec@1 71.875 (68.806) Prec@5 88.281 (87.079) Epoch: [84][2390/10010] Time 0.339 (0.328) Data 0.001 (0.002) Loss 1.2464 (1.3443) Prec@1 67.969 (68.807) Prec@5 91.406 (87.082) Epoch: [84][2400/10010] Time 0.321 (0.328) Data 0.001 (0.002) Loss 0.9321 (1.3441) Prec@1 78.125 (68.808) Prec@5 92.188 (87.082) Epoch: [84][2410/10010] Time 0.337 (0.328) Data 0.001 (0.002) Loss 1.3544 (1.3443) Prec@1 68.750 (68.804) Prec@5 89.062 (87.081) Epoch: [84][2420/10010] Time 0.316 (0.328) Data 0.000 (0.002) Loss 1.4966 (1.3443) Prec@1 67.969 (68.806) Prec@5 82.031 (87.079) Epoch: [84][2430/10010] Time 0.320 (0.328) Data 0.001 (0.002) Loss 1.2705 (1.3442) Prec@1 71.875 (68.806) Prec@5 86.719 (87.080) Epoch: [84][2440/10010] Time 0.313 (0.328) Data 0.001 (0.002) Loss 1.6833 (1.3445) Prec@1 58.594 (68.796) Prec@5 84.375 (87.075) Epoch: [84][2450/10010] Time 0.314 (0.328) Data 0.001 (0.002) Loss 1.0934 (1.3442) Prec@1 71.094 (68.804) Prec@5 91.406 (87.080) Epoch: [84][2460/10010] Time 0.335 (0.328) Data 0.001 (0.002) Loss 1.5882 (1.3445) Prec@1 59.375 (68.804) Prec@5 83.594 (87.076) Epoch: [84][2470/10010] Time 0.330 (0.328) Data 0.001 (0.002) Loss 1.1257 (1.3446) Prec@1 69.531 (68.804) Prec@5 89.062 (87.069) Epoch: [84][2480/10010] Time 0.323 (0.328) Data 0.001 (0.002) Loss 1.6396 (1.3449) Prec@1 65.625 (68.794) Prec@5 84.375 (87.063) Epoch: [84][2490/10010] Time 0.338 (0.328) Data 0.000 (0.002) Loss 1.3926 (1.3446) Prec@1 71.875 (68.800) Prec@5 83.594 (87.068) Epoch: [84][2500/10010] Time 0.326 (0.328) Data 0.000 (0.002) Loss 1.2156 (1.3445) Prec@1 67.188 (68.797) Prec@5 90.625 (87.072) Epoch: [84][2510/10010] Time 0.335 (0.328) Data 0.000 (0.002) Loss 1.4280 (1.3442) Prec@1 68.750 (68.801) Prec@5 86.719 (87.075) Epoch: [84][2520/10010] Time 0.334 (0.328) Data 0.000 (0.002) Loss 1.2825 (1.3444) Prec@1 68.750 (68.796) Prec@5 86.719 (87.073) Epoch: [84][2530/10010] Time 0.316 (0.328) Data 0.000 (0.002) Loss 1.4746 (1.3443) Prec@1 64.062 (68.798) Prec@5 86.719 (87.073) Epoch: [84][2540/10010] Time 0.329 (0.328) Data 0.000 (0.002) Loss 1.7560 (1.3444) Prec@1 61.719 (68.804) Prec@5 82.031 (87.074) Epoch: [84][2550/10010] Time 0.332 (0.328) Data 0.001 (0.002) Loss 1.2055 (1.3444) Prec@1 72.656 (68.808) Prec@5 87.500 (87.072) Epoch: [84][2560/10010] Time 0.334 (0.328) Data 0.001 (0.002) Loss 1.4855 (1.3443) Prec@1 67.969 (68.806) Prec@5 87.500 (87.074) Epoch: [84][2570/10010] Time 0.338 (0.328) Data 0.001 (0.002) Loss 1.4182 (1.3443) Prec@1 68.750 (68.805) Prec@5 84.375 (87.071) Epoch: [84][2580/10010] Time 0.322 (0.328) Data 0.001 (0.002) Loss 1.3827 (1.3441) Prec@1 70.312 (68.811) Prec@5 88.281 (87.071) Epoch: [84][2590/10010] Time 0.330 (0.328) Data 0.001 (0.002) Loss 1.1059 (1.3442) Prec@1 67.969 (68.809) Prec@5 89.062 (87.066) Epoch: [84][2600/10010] Time 0.325 (0.328) Data 0.001 (0.002) Loss 1.5957 (1.3443) Prec@1 66.406 (68.807) Prec@5 82.812 (87.062) Epoch: [84][2610/10010] Time 0.317 (0.327) Data 0.001 (0.002) Loss 1.6272 (1.3446) Prec@1 61.719 (68.802) Prec@5 85.156 (87.058) Epoch: [84][2620/10010] Time 0.341 (0.327) Data 0.001 (0.002) Loss 1.4365 (1.3446) Prec@1 69.531 (68.798) Prec@5 85.156 (87.059) Epoch: [84][2630/10010] Time 0.337 (0.328) Data 0.000 (0.002) Loss 1.1945 (1.3445) Prec@1 67.969 (68.797) Prec@5 93.750 (87.061) Epoch: [84][2640/10010] Time 0.336 (0.328) Data 0.001 (0.002) Loss 1.2733 (1.3444) Prec@1 74.219 (68.798) Prec@5 85.938 (87.062) Epoch: [84][2650/10010] Time 0.336 (0.328) Data 0.000 (0.002) Loss 1.2423 (1.3443) Prec@1 71.094 (68.802) Prec@5 88.281 (87.067) Epoch: [84][2660/10010] Time 0.333 (0.328) Data 0.000 (0.002) Loss 1.2405 (1.3440) Prec@1 71.875 (68.808) Prec@5 88.281 (87.070) Epoch: [84][2670/10010] Time 0.326 (0.328) Data 0.001 (0.002) Loss 1.3917 (1.3439) Prec@1 66.406 (68.805) Prec@5 88.281 (87.073) Epoch: [84][2680/10010] Time 0.319 (0.328) Data 0.001 (0.002) Loss 1.4486 (1.3438) Prec@1 64.844 (68.808) Prec@5 85.156 (87.074) Epoch: [84][2690/10010] Time 0.332 (0.328) Data 0.001 (0.002) Loss 1.2074 (1.3437) Prec@1 67.969 (68.811) Prec@5 92.188 (87.076) Epoch: [84][2700/10010] Time 0.336 (0.328) Data 0.001 (0.002) Loss 1.2675 (1.3438) Prec@1 71.094 (68.811) Prec@5 88.281 (87.072) Epoch: [84][2710/10010] Time 0.331 (0.327) Data 0.001 (0.002) Loss 1.4750 (1.3440) Prec@1 65.625 (68.804) Prec@5 85.938 (87.070) Epoch: [84][2720/10010] Time 0.330 (0.327) Data 0.000 (0.002) Loss 1.1797 (1.3439) Prec@1 68.750 (68.803) Prec@5 87.500 (87.070) Epoch: [84][2730/10010] Time 0.332 (0.327) Data 0.001 (0.002) Loss 1.2413 (1.3440) Prec@1 69.531 (68.800) Prec@5 88.281 (87.065) Epoch: [84][2740/10010] Time 0.332 (0.328) Data 0.001 (0.002) Loss 1.5958 (1.3440) Prec@1 62.500 (68.800) Prec@5 82.031 (87.065) Epoch: [84][2750/10010] Time 0.316 (0.328) Data 0.001 (0.002) Loss 1.3660 (1.3441) Prec@1 67.969 (68.797) Prec@5 87.500 (87.064) Epoch: [84][2760/10010] Time 0.341 (0.328) Data 0.001 (0.002) Loss 1.4510 (1.3442) Prec@1 68.750 (68.795) Prec@5 83.594 (87.062) Epoch: [84][2770/10010] Time 0.319 (0.328) Data 0.001 (0.002) Loss 1.4462 (1.3442) Prec@1 65.625 (68.796) Prec@5 83.594 (87.060) Epoch: [84][2780/10010] Time 0.325 (0.328) Data 0.001 (0.002) Loss 1.3804 (1.3442) Prec@1 67.188 (68.797) Prec@5 85.156 (87.061) Epoch: [84][2790/10010] Time 0.318 (0.327) Data 0.001 (0.002) Loss 1.5213 (1.3442) Prec@1 65.625 (68.795) Prec@5 85.938 (87.061) Epoch: [84][2800/10010] Time 0.319 (0.327) Data 0.001 (0.002) Loss 1.2770 (1.3441) Prec@1 72.656 (68.800) Prec@5 91.406 (87.068) Epoch: [84][2810/10010] Time 0.326 (0.327) Data 0.001 (0.002) Loss 1.3493 (1.3443) Prec@1 66.406 (68.798) Prec@5 85.938 (87.065) Epoch: [84][2820/10010] Time 0.339 (0.327) Data 0.001 (0.002) Loss 1.4933 (1.3443) Prec@1 66.406 (68.796) Prec@5 86.719 (87.066) Epoch: [84][2830/10010] Time 0.336 (0.327) Data 0.001 (0.002) Loss 1.6653 (1.3447) Prec@1 63.281 (68.787) Prec@5 78.125 (87.062) Epoch: [84][2840/10010] Time 0.316 (0.327) Data 0.001 (0.002) Loss 1.5116 (1.3448) Prec@1 67.969 (68.790) Prec@5 85.156 (87.060) Epoch: [84][2850/10010] Time 0.326 (0.327) Data 0.000 (0.002) Loss 1.2640 (1.3447) Prec@1 69.531 (68.785) Prec@5 86.719 (87.062) Epoch: [84][2860/10010] Time 0.330 (0.327) Data 0.001 (0.002) Loss 1.3732 (1.3449) Prec@1 66.406 (68.782) Prec@5 85.156 (87.058) Epoch: [84][2870/10010] Time 0.332 (0.327) Data 0.001 (0.002) Loss 1.4411 (1.3448) Prec@1 65.625 (68.784) Prec@5 83.594 (87.060) Epoch: [84][2880/10010] Time 0.327 (0.327) Data 0.001 (0.002) Loss 1.3581 (1.3445) Prec@1 65.625 (68.787) Prec@5 87.500 (87.067) Epoch: [84][2890/10010] Time 0.329 (0.327) Data 0.001 (0.002) Loss 1.1350 (1.3447) Prec@1 73.438 (68.786) Prec@5 90.625 (87.064) Epoch: [84][2900/10010] Time 0.317 (0.327) Data 0.000 (0.002) Loss 1.3970 (1.3449) Prec@1 66.406 (68.786) Prec@5 86.719 (87.058) Epoch: [84][2910/10010] Time 0.310 (0.327) Data 0.000 (0.002) Loss 1.2162 (1.3449) Prec@1 70.312 (68.785) Prec@5 89.844 (87.062) Epoch: [84][2920/10010] Time 0.316 (0.327) Data 0.001 (0.002) Loss 1.1406 (1.3451) Prec@1 74.219 (68.782) Prec@5 88.281 (87.058) Epoch: [84][2930/10010] Time 0.320 (0.327) Data 0.001 (0.002) Loss 1.1724 (1.3451) Prec@1 73.438 (68.778) Prec@5 89.844 (87.058) Epoch: [84][2940/10010] Time 0.327 (0.327) Data 0.003 (0.002) Loss 1.5554 (1.3448) Prec@1 61.719 (68.776) Prec@5 88.281 (87.064) Epoch: [84][2950/10010] Time 0.319 (0.327) Data 0.001 (0.002) Loss 1.1845 (1.3448) Prec@1 76.562 (68.775) Prec@5 89.062 (87.065) Epoch: [84][2960/10010] Time 0.325 (0.327) Data 0.001 (0.002) Loss 1.4080 (1.3451) Prec@1 72.656 (68.769) Prec@5 83.594 (87.060) Epoch: [84][2970/10010] Time 0.329 (0.327) Data 0.000 (0.002) Loss 1.1544 (1.3451) Prec@1 74.219 (68.772) Prec@5 88.281 (87.059) Epoch: [84][2980/10010] Time 0.337 (0.327) Data 0.001 (0.002) Loss 1.3138 (1.3451) Prec@1 70.312 (68.772) Prec@5 89.844 (87.059) Epoch: [84][2990/10010] Time 0.320 (0.327) Data 0.000 (0.002) Loss 1.4090 (1.3453) Prec@1 67.969 (68.764) Prec@5 82.812 (87.054) Epoch: [84][3000/10010] Time 0.320 (0.327) Data 0.001 (0.002) Loss 1.0444 (1.3451) Prec@1 75.000 (68.769) Prec@5 89.844 (87.055) Epoch: [84][3010/10010] Time 0.325 (0.327) Data 0.001 (0.002) Loss 1.4090 (1.3453) Prec@1 69.531 (68.769) Prec@5 85.938 (87.053) Epoch: [84][3020/10010] Time 0.331 (0.327) Data 0.001 (0.002) Loss 1.1434 (1.3450) Prec@1 71.094 (68.772) Prec@5 91.406 (87.057) Epoch: [84][3030/10010] Time 0.323 (0.327) Data 0.001 (0.002) Loss 1.6207 (1.3450) Prec@1 64.062 (68.771) Prec@5 87.500 (87.056) Epoch: [84][3040/10010] Time 0.337 (0.327) Data 0.001 (0.002) Loss 1.6379 (1.3450) Prec@1 62.500 (68.773) Prec@5 80.469 (87.056) Epoch: [84][3050/10010] Time 0.323 (0.327) Data 0.001 (0.002) Loss 1.5051 (1.3449) Prec@1 64.844 (68.772) Prec@5 83.594 (87.057) Epoch: [84][3060/10010] Time 0.322 (0.327) Data 0.000 (0.002) Loss 1.3954 (1.3447) Prec@1 65.625 (68.775) Prec@5 84.375 (87.060) Epoch: [84][3070/10010] Time 0.341 (0.327) Data 0.001 (0.002) Loss 1.3828 (1.3447) Prec@1 68.750 (68.774) Prec@5 87.500 (87.060) Epoch: [84][3080/10010] Time 0.336 (0.327) Data 0.001 (0.002) Loss 1.4510 (1.3447) Prec@1 72.656 (68.779) Prec@5 86.719 (87.062) Epoch: [84][3090/10010] Time 0.321 (0.327) Data 0.000 (0.002) Loss 1.2984 (1.3446) Prec@1 68.750 (68.780) Prec@5 85.938 (87.060) Epoch: [84][3100/10010] Time 0.325 (0.327) Data 0.001 (0.002) Loss 1.4070 (1.3445) Prec@1 65.625 (68.785) Prec@5 85.156 (87.063) Epoch: [84][3110/10010] Time 0.326 (0.327) Data 0.001 (0.002) Loss 1.5714 (1.3445) Prec@1 65.625 (68.785) Prec@5 82.031 (87.065) Epoch: [84][3120/10010] Time 0.326 (0.327) Data 0.001 (0.002) Loss 1.4297 (1.3445) Prec@1 64.062 (68.781) Prec@5 86.719 (87.063) Epoch: [84][3130/10010] Time 0.336 (0.327) Data 0.001 (0.002) Loss 1.2817 (1.3447) Prec@1 70.312 (68.775) Prec@5 88.281 (87.060) Epoch: [84][3140/10010] Time 0.334 (0.327) Data 0.001 (0.002) Loss 1.3413 (1.3448) Prec@1 67.969 (68.772) Prec@5 85.156 (87.057) Epoch: [84][3150/10010] Time 0.322 (0.327) Data 0.001 (0.002) Loss 1.2184 (1.3448) Prec@1 72.656 (68.770) Prec@5 89.844 (87.056) Epoch: [84][3160/10010] Time 0.318 (0.327) Data 0.000 (0.002) Loss 1.3914 (1.3447) Prec@1 70.312 (68.772) Prec@5 89.062 (87.059) Epoch: [84][3170/10010] Time 0.327 (0.327) Data 0.001 (0.002) Loss 1.2318 (1.3447) Prec@1 70.312 (68.767) Prec@5 88.281 (87.060) Epoch: [84][3180/10010] Time 0.319 (0.327) Data 0.000 (0.002) Loss 1.3514 (1.3447) Prec@1 65.625 (68.766) Prec@5 85.938 (87.060) Epoch: [84][3190/10010] Time 0.317 (0.327) Data 0.001 (0.002) Loss 1.7670 (1.3448) Prec@1 59.375 (68.761) Prec@5 83.594 (87.059) Epoch: [84][3200/10010] Time 0.333 (0.327) Data 0.000 (0.002) Loss 1.3781 (1.3452) Prec@1 68.750 (68.758) Prec@5 86.719 (87.057) Epoch: [84][3210/10010] Time 0.323 (0.327) Data 0.001 (0.002) Loss 1.3464 (1.3454) Prec@1 72.656 (68.758) Prec@5 85.938 (87.052) Epoch: [84][3220/10010] Time 0.338 (0.327) Data 0.001 (0.002) Loss 1.2678 (1.3453) Prec@1 67.969 (68.759) Prec@5 87.500 (87.054) Epoch: [84][3230/10010] Time 0.323 (0.327) Data 0.001 (0.002) Loss 1.4740 (1.3452) Prec@1 67.969 (68.763) Prec@5 85.938 (87.054) Epoch: [84][3240/10010] Time 0.339 (0.327) Data 0.000 (0.002) Loss 1.1906 (1.3449) Prec@1 74.219 (68.768) Prec@5 88.281 (87.055) Epoch: [84][3250/10010] Time 0.327 (0.327) Data 0.001 (0.002) Loss 1.4873 (1.3447) Prec@1 67.969 (68.772) Prec@5 83.594 (87.060) Epoch: [84][3260/10010] Time 0.313 (0.327) Data 0.000 (0.002) Loss 1.3402 (1.3448) Prec@1 74.219 (68.769) Prec@5 89.844 (87.056) Epoch: [84][3270/10010] Time 0.333 (0.327) Data 0.001 (0.002) Loss 1.4357 (1.3448) Prec@1 68.750 (68.769) Prec@5 83.594 (87.056) Epoch: [84][3280/10010] Time 0.336 (0.327) Data 0.001 (0.002) Loss 1.3422 (1.3450) Prec@1 66.406 (68.765) Prec@5 87.500 (87.053) Epoch: [84][3290/10010] Time 0.339 (0.327) Data 0.000 (0.002) Loss 1.4752 (1.3451) Prec@1 66.406 (68.762) Prec@5 85.156 (87.051) Epoch: [84][3300/10010] Time 0.313 (0.327) Data 0.001 (0.002) Loss 1.4002 (1.3453) Prec@1 67.969 (68.756) Prec@5 86.719 (87.048) Epoch: [84][3310/10010] Time 0.338 (0.327) Data 0.001 (0.002) Loss 1.2003 (1.3453) Prec@1 68.750 (68.757) Prec@5 92.188 (87.049) Epoch: [84][3320/10010] Time 0.318 (0.327) Data 0.001 (0.002) Loss 1.3354 (1.3452) Prec@1 67.188 (68.761) Prec@5 85.156 (87.048) Epoch: [84][3330/10010] Time 0.317 (0.327) Data 0.001 (0.002) Loss 1.2787 (1.3451) Prec@1 71.094 (68.761) Prec@5 86.719 (87.050) Epoch: [84][3340/10010] Time 0.325 (0.327) Data 0.001 (0.002) Loss 1.2104 (1.3451) Prec@1 70.312 (68.766) Prec@5 89.062 (87.048) Epoch: [84][3350/10010] Time 0.313 (0.327) Data 0.001 (0.002) Loss 1.4942 (1.3450) Prec@1 66.406 (68.768) Prec@5 85.156 (87.051) /data/vision/torralba/deepscene/lib/anaconda2/lib/python2.7/site-packages/PIL/TiffImagePlugin.py:692: UserWarning: Possibly corrupt EXIF data. Expecting to read 2555904 bytes but only got 0. Skipping tag 0 "Skipping tag %s" % (size, len(data), tag)) Epoch: [84][3360/10010] Time 0.326 (0.327) Data 0.001 (0.002) Loss 1.4007 (1.3450) Prec@1 67.188 (68.769) Prec@5 89.062 (87.054) Epoch: [84][3370/10010] Time 0.327 (0.327) Data 0.001 (0.002) Loss 1.0582 (1.3447) Prec@1 68.750 (68.776) Prec@5 92.969 (87.059) Epoch: [84][3380/10010] Time 0.324 (0.327) Data 0.001 (0.002) Loss 1.0501 (1.3448) Prec@1 75.781 (68.771) Prec@5 92.188 (87.059) Epoch: [84][3390/10010] Time 0.338 (0.327) Data 0.000 (0.002) Loss 1.2921 (1.3447) Prec@1 68.750 (68.768) Prec@5 87.500 (87.059) Epoch: [84][3400/10010] Time 0.321 (0.327) Data 0.001 (0.002) Loss 1.2759 (1.3446) Prec@1 71.094 (68.773) Prec@5 89.062 (87.063) Epoch: [84][3410/10010] Time 0.331 (0.327) Data 0.001 (0.002) Loss 1.4014 (1.3446) Prec@1 67.969 (68.771) Prec@5 80.469 (87.060) Epoch: [84][3420/10010] Time 0.342 (0.327) Data 0.000 (0.002) Loss 1.4194 (1.3447) Prec@1 68.750 (68.774) Prec@5 85.938 (87.059) Epoch: [84][3430/10010] Time 0.335 (0.327) Data 0.000 (0.002) Loss 1.4527 (1.3447) Prec@1 67.188 (68.774) Prec@5 88.281 (87.060) Epoch: [84][3440/10010] Time 0.315 (0.327) Data 0.001 (0.001) Loss 1.0015 (1.3445) Prec@1 75.781 (68.777) Prec@5 93.750 (87.063) /data/vision/torralba/deepscene/lib/anaconda2/lib/python2.7/site-packages/PIL/TiffImagePlugin.py:692: UserWarning: Possibly corrupt EXIF data. Expecting to read 2555904 bytes but only got 0. Skipping tag 0 "Skipping tag %s" % (size, len(data), tag)) Epoch: [84][3450/10010] Time 0.325 (0.327) Data 0.001 (0.001) Loss 1.2820 (1.3445) Prec@1 64.844 (68.776) Prec@5 90.625 (87.062) Epoch: [84][3460/10010] Time 0.327 (0.327) Data 0.001 (0.001) Loss 1.2221 (1.3446) Prec@1 71.875 (68.773) Prec@5 88.281 (87.061) Epoch: [84][3470/10010] Time 0.319 (0.327) Data 0.001 (0.001) Loss 1.1756 (1.3445) Prec@1 71.094 (68.774) Prec@5 87.500 (87.061) Epoch: [84][3480/10010] Time 0.329 (0.327) Data 0.001 (0.001) Loss 1.1807 (1.3444) Prec@1 73.438 (68.774) Prec@5 89.062 (87.063) Epoch: [84][3490/10010] Time 0.321 (0.327) Data 0.000 (0.001) Loss 1.3587 (1.3445) Prec@1 71.875 (68.776) Prec@5 86.719 (87.061) Epoch: [84][3500/10010] Time 0.337 (0.327) Data 0.001 (0.001) Loss 1.5730 (1.3445) Prec@1 67.969 (68.775) Prec@5 85.938 (87.062) Epoch: [84][3510/10010] Time 0.318 (0.327) Data 0.001 (0.001) Loss 1.1847 (1.3445) Prec@1 72.656 (68.777) Prec@5 88.281 (87.063) Epoch: [84][3520/10010] Time 0.335 (0.327) Data 0.001 (0.001) Loss 1.1493 (1.3444) Prec@1 71.094 (68.779) Prec@5 90.625 (87.064) Epoch: [84][3530/10010] Time 0.317 (0.327) Data 0.001 (0.001) Loss 1.4918 (1.3444) Prec@1 67.969 (68.778) Prec@5 85.156 (87.066) Epoch: [84][3540/10010] Time 0.321 (0.327) Data 0.001 (0.001) Loss 1.3626 (1.3443) Prec@1 68.750 (68.778) Prec@5 85.938 (87.065) Epoch: [84][3550/10010] Time 0.318 (0.327) Data 0.001 (0.001) Loss 1.1695 (1.3443) Prec@1 71.094 (68.780) Prec@5 90.625 (87.068) Epoch: [84][3560/10010] Time 0.341 (0.327) Data 0.001 (0.001) Loss 1.5715 (1.3443) Prec@1 66.406 (68.778) Prec@5 82.812 (87.066) Epoch: [84][3570/10010] Time 0.313 (0.327) Data 0.001 (0.001) Loss 1.2802 (1.3443) Prec@1 66.406 (68.778) Prec@5 86.719 (87.068) Epoch: [84][3580/10010] Time 0.339 (0.327) Data 0.000 (0.001) Loss 1.2155 (1.3444) Prec@1 71.875 (68.775) Prec@5 89.062 (87.065) Epoch: [84][3590/10010] Time 0.319 (0.327) Data 0.001 (0.001) Loss 1.2306 (1.3442) Prec@1 65.625 (68.775) Prec@5 85.938 (87.069) Epoch: [84][3600/10010] Time 0.320 (0.327) Data 0.000 (0.001) Loss 1.3196 (1.3444) Prec@1 68.750 (68.769) Prec@5 86.719 (87.068) Epoch: [84][3610/10010] Time 0.317 (0.327) Data 0.001 (0.001) Loss 1.3441 (1.3444) Prec@1 70.312 (68.771) Prec@5 84.375 (87.064) Epoch: [84][3620/10010] Time 0.316 (0.327) Data 0.001 (0.001) Loss 0.9128 (1.3443) Prec@1 77.344 (68.771) Prec@5 92.188 (87.069) Epoch: [84][3630/10010] Time 0.334 (0.327) Data 0.001 (0.001) Loss 1.3089 (1.3446) Prec@1 68.750 (68.765) Prec@5 85.938 (87.062) Epoch: [84][3640/10010] Time 0.336 (0.327) Data 0.000 (0.001) Loss 1.2844 (1.3446) Prec@1 65.625 (68.768) Prec@5 87.500 (87.064) Epoch: [84][3650/10010] Time 0.314 (0.327) Data 0.001 (0.001) Loss 1.4178 (1.3446) Prec@1 68.750 (68.766) Prec@5 85.938 (87.062) Epoch: [84][3660/10010] Time 0.318 (0.327) Data 0.001 (0.001) Loss 1.3412 (1.3447) Prec@1 69.531 (68.762) Prec@5 88.281 (87.060) Epoch: [84][3670/10010] Time 0.320 (0.327) Data 0.001 (0.001) Loss 1.6534 (1.3448) Prec@1 60.938 (68.759) Prec@5 82.031 (87.058) Epoch: [84][3680/10010] Time 0.325 (0.327) Data 0.001 (0.001) Loss 1.4517 (1.3448) Prec@1 64.062 (68.757) Prec@5 87.500 (87.060) Epoch: [84][3690/10010] Time 0.326 (0.327) Data 0.000 (0.001) Loss 1.4565 (1.3450) Prec@1 65.625 (68.752) Prec@5 85.938 (87.053) Epoch: [84][3700/10010] Time 0.319 (0.327) Data 0.001 (0.001) Loss 1.2630 (1.3450) Prec@1 71.094 (68.751) Prec@5 85.938 (87.053) Epoch: [84][3710/10010] Time 0.325 (0.327) Data 0.001 (0.001) Loss 1.3215 (1.3450) Prec@1 71.875 (68.755) Prec@5 89.062 (87.054) Epoch: [84][3720/10010] Time 0.335 (0.327) Data 0.000 (0.001) Loss 1.3302 (1.3451) Prec@1 65.625 (68.754) Prec@5 87.500 (87.055) Epoch: [84][3730/10010] Time 0.340 (0.327) Data 0.001 (0.001) Loss 1.2815 (1.3450) Prec@1 69.531 (68.754) Prec@5 85.156 (87.057) Epoch: [84][3740/10010] Time 0.317 (0.327) Data 0.001 (0.001) Loss 1.3343 (1.3452) Prec@1 67.969 (68.746) Prec@5 88.281 (87.056) Epoch: [84][3750/10010] Time 0.335 (0.327) Data 0.001 (0.001) Loss 1.2742 (1.3450) Prec@1 73.438 (68.750) Prec@5 86.719 (87.058) Epoch: [84][3760/10010] Time 0.316 (0.327) Data 0.001 (0.001) Loss 1.3924 (1.3450) Prec@1 71.094 (68.750) Prec@5 89.844 (87.059) Epoch: [84][3770/10010] Time 0.316 (0.327) Data 0.000 (0.001) Loss 1.4159 (1.3450) Prec@1 63.281 (68.749) Prec@5 88.281 (87.061) Epoch: [84][3780/10010] Time 0.319 (0.327) Data 0.000 (0.001) Loss 1.2034 (1.3449) Prec@1 67.969 (68.745) Prec@5 91.406 (87.061) Epoch: [84][3790/10010] Time 0.323 (0.327) Data 0.001 (0.001) Loss 1.4078 (1.3448) Prec@1 75.000 (68.747) Prec@5 85.156 (87.061) Epoch: [84][3800/10010] Time 0.326 (0.327) Data 0.001 (0.001) Loss 1.1910 (1.3446) Prec@1 77.344 (68.751) Prec@5 89.062 (87.065) Epoch: [84][3810/10010] Time 0.337 (0.327) Data 0.001 (0.001) Loss 1.4807 (1.3446) Prec@1 65.625 (68.746) Prec@5 88.281 (87.068) Epoch: [84][3820/10010] Time 0.316 (0.327) Data 0.001 (0.001) Loss 1.2961 (1.3445) Prec@1 71.875 (68.749) Prec@5 89.844 (87.069) Epoch: [84][3830/10010] Time 0.318 (0.327) Data 0.001 (0.001) Loss 1.0374 (1.3441) Prec@1 77.344 (68.758) Prec@5 91.406 (87.075) Epoch: [84][3840/10010] Time 0.345 (0.327) Data 0.000 (0.001) Loss 1.2011 (1.3439) Prec@1 71.875 (68.764) Prec@5 89.062 (87.079) Epoch: [84][3850/10010] Time 0.321 (0.327) Data 0.001 (0.001) Loss 1.4868 (1.3439) Prec@1 64.062 (68.762) Prec@5 84.375 (87.080) Epoch: [84][3860/10010] Time 0.340 (0.327) Data 0.001 (0.001) Loss 1.7414 (1.3442) Prec@1 60.156 (68.757) Prec@5 82.812 (87.076) Epoch: [84][3870/10010] Time 0.332 (0.327) Data 0.003 (0.001) Loss 1.1992 (1.3440) Prec@1 75.000 (68.761) Prec@5 90.625 (87.082) Epoch: [84][3880/10010] Time 0.321 (0.327) Data 0.001 (0.001) Loss 1.4860 (1.3441) Prec@1 67.188 (68.761) Prec@5 85.938 (87.082) Epoch: [84][3890/10010] Time 0.322 (0.327) Data 0.000 (0.001) Loss 1.3101 (1.3440) Prec@1 73.438 (68.761) Prec@5 87.500 (87.082) Epoch: [84][3900/10010] Time 0.317 (0.327) Data 0.001 (0.001) Loss 1.7100 (1.3444) Prec@1 62.500 (68.757) Prec@5 79.688 (87.075) Epoch: [84][3910/10010] Time 0.319 (0.327) Data 0.001 (0.001) Loss 1.2427 (1.3443) Prec@1 76.562 (68.761) Prec@5 88.281 (87.077) Epoch: [84][3920/10010] Time 0.321 (0.327) Data 0.001 (0.001) Loss 1.3334 (1.3444) Prec@1 67.969 (68.758) Prec@5 85.156 (87.076) Epoch: [84][3930/10010] Time 0.337 (0.327) Data 0.001 (0.001) Loss 1.6061 (1.3445) Prec@1 64.062 (68.756) Prec@5 81.250 (87.077) Epoch: [84][3940/10010] Time 0.329 (0.327) Data 0.001 (0.001) Loss 1.2920 (1.3445) Prec@1 69.531 (68.756) Prec@5 86.719 (87.076) Epoch: [84][3950/10010] Time 0.321 (0.327) Data 0.000 (0.001) Loss 1.3485 (1.3444) Prec@1 69.531 (68.761) Prec@5 84.375 (87.073) Epoch: [84][3960/10010] Time 0.339 (0.327) Data 0.000 (0.001) Loss 1.8178 (1.3444) Prec@1 55.469 (68.759) Prec@5 83.594 (87.075) Epoch: [84][3970/10010] Time 0.331 (0.327) Data 0.001 (0.001) Loss 1.5030 (1.3444) Prec@1 70.312 (68.758) Prec@5 85.156 (87.074) Epoch: [84][3980/10010] Time 0.328 (0.327) Data 0.000 (0.001) Loss 1.1192 (1.3443) Prec@1 77.344 (68.762) Prec@5 88.281 (87.073) Epoch: [84][3990/10010] Time 0.332 (0.327) Data 0.001 (0.001) Loss 1.5778 (1.3443) Prec@1 61.719 (68.761) Prec@5 85.938 (87.075) Epoch: [84][4000/10010] Time 0.319 (0.327) Data 0.001 (0.001) Loss 1.5603 (1.3445) Prec@1 62.500 (68.759) Prec@5 81.250 (87.069) Epoch: [84][4010/10010] Time 0.319 (0.327) Data 0.001 (0.001) Loss 1.3136 (1.3445) Prec@1 64.844 (68.757) Prec@5 87.500 (87.069) Epoch: [84][4020/10010] Time 0.316 (0.327) Data 0.001 (0.001) Loss 1.2235 (1.3444) Prec@1 70.312 (68.758) Prec@5 92.969 (87.072) Epoch: [84][4030/10010] Time 0.322 (0.327) Data 0.001 (0.001) Loss 1.2046 (1.3444) Prec@1 74.219 (68.756) Prec@5 85.938 (87.068) Epoch: [84][4040/10010] Time 0.315 (0.327) Data 0.001 (0.001) Loss 1.3477 (1.3443) Prec@1 69.531 (68.761) Prec@5 85.156 (87.070) Epoch: [84][4050/10010] Time 0.319 (0.327) Data 0.001 (0.001) Loss 1.5351 (1.3443) Prec@1 66.406 (68.760) Prec@5 85.938 (87.068) Epoch: [84][4060/10010] Time 0.325 (0.327) Data 0.001 (0.001) Loss 1.2475 (1.3443) Prec@1 67.188 (68.761) Prec@5 88.281 (87.066) Epoch: [84][4070/10010] Time 0.342 (0.327) Data 0.001 (0.001) Loss 1.3431 (1.3444) Prec@1 62.500 (68.758) Prec@5 90.625 (87.066) Epoch: [84][4080/10010] Time 0.318 (0.327) Data 0.001 (0.001) Loss 1.4294 (1.3443) Prec@1 68.750 (68.759) Prec@5 87.500 (87.066) Epoch: [84][4090/10010] Time 0.328 (0.327) Data 0.001 (0.001) Loss 1.4114 (1.3444) Prec@1 65.625 (68.756) Prec@5 85.156 (87.066) Epoch: [84][4100/10010] Time 0.341 (0.327) Data 0.001 (0.001) Loss 1.3917 (1.3442) Prec@1 65.625 (68.759) Prec@5 84.375 (87.068) Epoch: [84][4110/10010] Time 0.343 (0.327) Data 0.001 (0.001) Loss 1.5757 (1.3443) Prec@1 67.188 (68.755) Prec@5 85.156 (87.069) Epoch: [84][4120/10010] Time 0.335 (0.327) Data 0.001 (0.001) Loss 1.4010 (1.3444) Prec@1 71.875 (68.755) Prec@5 84.375 (87.067) Epoch: [84][4130/10010] Time 0.315 (0.327) Data 0.001 (0.001) Loss 1.4481 (1.3444) Prec@1 71.875 (68.756) Prec@5 85.938 (87.066) Epoch: [84][4140/10010] Time 0.317 (0.327) Data 0.001 (0.001) Loss 1.4176 (1.3444) Prec@1 63.281 (68.757) Prec@5 87.500 (87.067) Epoch: [84][4150/10010] Time 0.317 (0.327) Data 0.001 (0.001) Loss 1.2400 (1.3442) Prec@1 67.188 (68.759) Prec@5 89.844 (87.069) Epoch: [84][4160/10010] Time 0.328 (0.327) Data 0.001 (0.001) Loss 1.2270 (1.3442) Prec@1 68.750 (68.756) Prec@5 88.281 (87.068) Epoch: [84][4170/10010] Time 0.324 (0.327) Data 0.001 (0.001) Loss 1.4398 (1.3442) Prec@1 64.844 (68.759) Prec@5 84.375 (87.066) Epoch: [84][4180/10010] Time 0.326 (0.327) Data 0.001 (0.001) Loss 1.3429 (1.3441) Prec@1 69.531 (68.761) Prec@5 86.719 (87.069) Epoch: [84][4190/10010] Time 0.320 (0.327) Data 0.001 (0.001) Loss 1.4215 (1.3440) Prec@1 67.188 (68.760) Prec@5 86.719 (87.071) Epoch: [84][4200/10010] Time 0.337 (0.327) Data 0.001 (0.001) Loss 1.2528 (1.3440) Prec@1 69.531 (68.760) Prec@5 89.844 (87.074) Epoch: [84][4210/10010] Time 0.337 (0.327) Data 0.001 (0.001) Loss 1.5269 (1.3442) Prec@1 67.969 (68.757) Prec@5 81.250 (87.070) Epoch: [84][4220/10010] Time 0.323 (0.327) Data 0.001 (0.001) Loss 1.5069 (1.3442) Prec@1 65.625 (68.758) Prec@5 85.156 (87.069) Epoch: [84][4230/10010] Time 0.315 (0.327) Data 0.001 (0.001) Loss 1.4645 (1.3443) Prec@1 64.844 (68.757) Prec@5 86.719 (87.068) Epoch: [84][4240/10010] Time 0.330 (0.327) Data 0.000 (0.001) Loss 1.4152 (1.3442) Prec@1 63.281 (68.756) Prec@5 86.719 (87.071) Epoch: [84][4250/10010] Time 0.327 (0.327) Data 0.001 (0.001) Loss 1.0269 (1.3443) Prec@1 78.906 (68.753) Prec@5 91.406 (87.068) Epoch: [84][4260/10010] Time 0.341 (0.327) Data 0.001 (0.001) Loss 1.4056 (1.3445) Prec@1 69.531 (68.750) Prec@5 86.719 (87.065) Epoch: [84][4270/10010] Time 0.342 (0.327) Data 0.000 (0.001) Loss 1.2589 (1.3444) Prec@1 69.531 (68.749) Prec@5 88.281 (87.068) Epoch: [84][4280/10010] Time 0.327 (0.327) Data 0.001 (0.001) Loss 1.4406 (1.3445) Prec@1 64.844 (68.746) Prec@5 84.375 (87.066) Epoch: [84][4290/10010] Time 0.337 (0.327) Data 0.001 (0.001) Loss 1.5144 (1.3445) Prec@1 67.969 (68.748) Prec@5 82.812 (87.067) Epoch: [84][4300/10010] Time 0.315 (0.327) Data 0.001 (0.001) Loss 1.1152 (1.3444) Prec@1 73.438 (68.750) Prec@5 90.625 (87.069) Epoch: [84][4310/10010] Time 0.341 (0.327) Data 0.000 (0.001) Loss 1.4559 (1.3446) Prec@1 62.500 (68.750) Prec@5 82.812 (87.065) Epoch: [84][4320/10010] Time 0.340 (0.327) Data 0.001 (0.001) Loss 0.9777 (1.3445) Prec@1 76.562 (68.753) Prec@5 96.875 (87.067) Epoch: [84][4330/10010] Time 0.342 (0.327) Data 0.000 (0.001) Loss 1.3378 (1.3443) Prec@1 71.094 (68.758) Prec@5 90.625 (87.069) Epoch: [84][4340/10010] Time 0.319 (0.327) Data 0.001 (0.001) Loss 1.0903 (1.3443) Prec@1 72.656 (68.760) Prec@5 91.406 (87.069) Epoch: [84][4350/10010] Time 0.342 (0.327) Data 0.001 (0.001) Loss 1.3234 (1.3442) Prec@1 67.969 (68.762) Prec@5 84.375 (87.072) Epoch: [84][4360/10010] Time 0.317 (0.327) Data 0.000 (0.001) Loss 1.0392 (1.3444) Prec@1 74.219 (68.758) Prec@5 90.625 (87.068) Epoch: [84][4370/10010] Time 0.331 (0.327) Data 0.001 (0.001) Loss 1.5033 (1.3443) Prec@1 67.969 (68.759) Prec@5 85.156 (87.070) Epoch: [84][4380/10010] Time 0.320 (0.327) Data 0.001 (0.001) Loss 1.2941 (1.3442) Prec@1 75.781 (68.763) Prec@5 86.719 (87.070) Epoch: [84][4390/10010] Time 0.341 (0.327) Data 0.000 (0.001) Loss 1.4689 (1.3442) Prec@1 63.281 (68.763) Prec@5 82.812 (87.072) Epoch: [84][4400/10010] Time 0.330 (0.327) Data 0.001 (0.001) Loss 1.5227 (1.3443) Prec@1 62.500 (68.760) Prec@5 82.812 (87.070) Epoch: [84][4410/10010] Time 0.316 (0.327) Data 0.001 (0.001) Loss 1.2463 (1.3442) Prec@1 71.094 (68.759) Prec@5 86.719 (87.071) Epoch: [84][4420/10010] Time 0.330 (0.327) Data 0.001 (0.001) Loss 1.3777 (1.3441) Prec@1 60.156 (68.762) Prec@5 86.719 (87.071) Epoch: [84][4430/10010] Time 0.311 (0.327) Data 0.001 (0.001) Loss 1.2858 (1.3441) Prec@1 67.188 (68.761) Prec@5 86.719 (87.071) Epoch: [84][4440/10010] Time 0.315 (0.327) Data 0.000 (0.001) Loss 1.2733 (1.3441) Prec@1 71.875 (68.762) Prec@5 86.719 (87.072) Epoch: [84][4450/10010] Time 0.331 (0.327) Data 0.001 (0.001) Loss 1.3292 (1.3440) Prec@1 72.656 (68.767) Prec@5 87.500 (87.073) Epoch: [84][4460/10010] Time 0.339 (0.327) Data 0.001 (0.001) Loss 1.3720 (1.3440) Prec@1 71.094 (68.766) Prec@5 86.719 (87.073) Epoch: [84][4470/10010] Time 0.339 (0.327) Data 0.001 (0.001) Loss 1.2124 (1.3440) Prec@1 71.875 (68.770) Prec@5 89.062 (87.073) Epoch: [84][4480/10010] Time 0.324 (0.327) Data 0.001 (0.001) Loss 1.5038 (1.3441) Prec@1 67.969 (68.764) Prec@5 84.375 (87.074) Epoch: [84][4490/10010] Time 0.329 (0.327) Data 0.001 (0.001) Loss 1.5786 (1.3442) Prec@1 67.969 (68.765) Prec@5 80.469 (87.072) Epoch: [84][4500/10010] Time 0.333 (0.327) Data 0.001 (0.001) Loss 1.3234 (1.3442) Prec@1 67.188 (68.765) Prec@5 87.500 (87.072) Epoch: [84][4510/10010] Time 0.308 (0.327) Data 0.001 (0.001) Loss 1.6318 (1.3442) Prec@1 64.062 (68.766) Prec@5 82.031 (87.072) Epoch: [84][4520/10010] Time 0.338 (0.327) Data 0.001 (0.001) Loss 1.6889 (1.3441) Prec@1 60.156 (68.766) Prec@5 82.031 (87.072) Epoch: [84][4530/10010] Time 0.324 (0.327) Data 0.001 (0.001) Loss 1.2720 (1.3442) Prec@1 67.969 (68.764) Prec@5 87.500 (87.070) Epoch: [84][4540/10010] Time 0.331 (0.327) Data 0.000 (0.001) Loss 1.4390 (1.3443) Prec@1 67.188 (68.763) Prec@5 85.938 (87.071) Epoch: [84][4550/10010] Time 0.320 (0.327) Data 0.001 (0.001) Loss 1.0483 (1.3444) Prec@1 74.219 (68.764) Prec@5 90.625 (87.070) Epoch: [84][4560/10010] Time 0.313 (0.327) Data 0.001 (0.001) Loss 1.2444 (1.3445) Prec@1 70.312 (68.760) Prec@5 85.938 (87.069) Epoch: [84][4570/10010] Time 0.319 (0.327) Data 0.001 (0.001) Loss 1.2339 (1.3443) Prec@1 69.531 (68.763) Prec@5 87.500 (87.070) Epoch: [84][4580/10010] Time 0.330 (0.327) Data 0.001 (0.001) Loss 1.2224 (1.3443) Prec@1 73.438 (68.766) Prec@5 89.062 (87.071) Epoch: [84][4590/10010] Time 0.319 (0.327) Data 0.000 (0.001) Loss 1.1330 (1.3442) Prec@1 75.000 (68.768) Prec@5 89.062 (87.072) Epoch: [84][4600/10010] Time 0.315 (0.327) Data 0.001 (0.001) Loss 1.3811 (1.3443) Prec@1 67.188 (68.768) Prec@5 83.594 (87.070) Epoch: [84][4610/10010] Time 0.321 (0.327) Data 0.000 (0.001) Loss 1.3889 (1.3445) Prec@1 71.094 (68.766) Prec@5 87.500 (87.068) Epoch: [84][4620/10010] Time 0.338 (0.327) Data 0.000 (0.001) Loss 1.6384 (1.3445) Prec@1 64.844 (68.770) Prec@5 82.031 (87.068) Epoch: [84][4630/10010] Time 0.320 (0.327) Data 0.001 (0.001) Loss 1.2679 (1.3445) Prec@1 72.656 (68.770) Prec@5 88.281 (87.067) Epoch: [84][4640/10010] Time 0.324 (0.327) Data 0.001 (0.001) Loss 1.4090 (1.3446) Prec@1 69.531 (68.770) Prec@5 83.594 (87.067) Epoch: [84][4650/10010] Time 0.325 (0.327) Data 0.000 (0.001) Loss 1.4131 (1.3447) Prec@1 70.312 (68.768) Prec@5 84.375 (87.065) Epoch: [84][4660/10010] Time 0.337 (0.327) Data 0.001 (0.001) Loss 1.4235 (1.3446) Prec@1 70.312 (68.771) Prec@5 85.156 (87.064) Epoch: [84][4670/10010] Time 0.318 (0.327) Data 0.000 (0.001) Loss 1.4535 (1.3446) Prec@1 68.750 (68.773) Prec@5 81.250 (87.064) Epoch: [84][4680/10010] Time 0.333 (0.327) Data 0.001 (0.001) Loss 1.3775 (1.3447) Prec@1 69.531 (68.774) Prec@5 81.250 (87.060) Epoch: [84][4690/10010] Time 0.333 (0.327) Data 0.001 (0.001) Loss 1.6408 (1.3449) Prec@1 61.719 (68.766) Prec@5 82.031 (87.057) Epoch: [84][4700/10010] Time 0.336 (0.327) Data 0.000 (0.001) Loss 1.1924 (1.3449) Prec@1 73.438 (68.766) Prec@5 86.719 (87.055) Epoch: [84][4710/10010] Time 0.323 (0.327) Data 0.001 (0.001) Loss 1.4896 (1.3451) Prec@1 66.406 (68.763) Prec@5 85.156 (87.054) Epoch: [84][4720/10010] Time 0.321 (0.327) Data 0.001 (0.001) Loss 1.3783 (1.3453) Prec@1 70.312 (68.758) Prec@5 86.719 (87.050) Epoch: [84][4730/10010] Time 0.336 (0.327) Data 0.001 (0.001) Loss 1.3310 (1.3453) Prec@1 67.188 (68.756) Prec@5 88.281 (87.050) Epoch: [84][4740/10010] Time 0.322 (0.327) Data 0.001 (0.001) Loss 1.3382 (1.3450) Prec@1 68.750 (68.762) Prec@5 85.938 (87.056) Epoch: [84][4750/10010] Time 0.311 (0.327) Data 0.001 (0.001) Loss 1.4538 (1.3451) Prec@1 62.500 (68.760) Prec@5 85.156 (87.055) Epoch: [84][4760/10010] Time 0.340 (0.327) Data 0.001 (0.001) Loss 1.5545 (1.3450) Prec@1 71.094 (68.764) Prec@5 83.594 (87.057) Epoch: [84][4770/10010] Time 0.327 (0.327) Data 0.001 (0.001) Loss 1.3180 (1.3451) Prec@1 67.969 (68.763) Prec@5 86.719 (87.054) Epoch: [84][4780/10010] Time 0.320 (0.327) Data 0.000 (0.001) Loss 1.5453 (1.3451) Prec@1 64.844 (68.762) Prec@5 85.156 (87.055) Epoch: [84][4790/10010] Time 0.330 (0.327) Data 0.000 (0.001) Loss 1.0218 (1.3450) Prec@1 77.344 (68.762) Prec@5 90.625 (87.058) Epoch: [84][4800/10010] Time 0.326 (0.327) Data 0.001 (0.001) Loss 1.2508 (1.3451) Prec@1 71.875 (68.759) Prec@5 92.188 (87.058) Epoch: [84][4810/10010] Time 0.337 (0.327) Data 0.001 (0.001) Loss 1.6009 (1.3450) Prec@1 61.719 (68.760) Prec@5 82.812 (87.057) Epoch: [84][4820/10010] Time 0.335 (0.327) Data 0.000 (0.001) Loss 1.4219 (1.3451) Prec@1 64.062 (68.761) Prec@5 87.500 (87.058) Epoch: [84][4830/10010] Time 0.332 (0.327) Data 0.001 (0.001) Loss 1.2641 (1.3450) Prec@1 71.875 (68.761) Prec@5 86.719 (87.059) Epoch: [84][4840/10010] Time 0.320 (0.327) Data 0.001 (0.001) Loss 1.6501 (1.3452) Prec@1 60.156 (68.754) Prec@5 82.812 (87.054) Epoch: [84][4850/10010] Time 0.318 (0.327) Data 0.000 (0.001) Loss 1.3256 (1.3453) Prec@1 73.438 (68.752) Prec@5 85.156 (87.054) Epoch: [84][4860/10010] Time 0.336 (0.327) Data 0.000 (0.001) Loss 1.3909 (1.3451) Prec@1 71.094 (68.760) Prec@5 88.281 (87.061) Epoch: [84][4870/10010] Time 0.342 (0.327) Data 0.001 (0.001) Loss 1.3676 (1.3452) Prec@1 66.406 (68.759) Prec@5 89.062 (87.060) Epoch: [84][4880/10010] Time 0.308 (0.327) Data 0.001 (0.001) Loss 1.1769 (1.3453) Prec@1 67.188 (68.752) Prec@5 89.844 (87.058) Epoch: [84][4890/10010] Time 0.340 (0.327) Data 0.001 (0.001) Loss 1.7297 (1.3455) Prec@1 60.156 (68.746) Prec@5 86.719 (87.056) Epoch: [84][4900/10010] Time 0.316 (0.327) Data 0.001 (0.001) Loss 1.3893 (1.3456) Prec@1 65.625 (68.743) Prec@5 85.938 (87.054) Epoch: [84][4910/10010] Time 0.315 (0.327) Data 0.001 (0.001) Loss 1.6098 (1.3457) Prec@1 63.281 (68.739) Prec@5 82.812 (87.051) Epoch: [84][4920/10010] Time 0.340 (0.327) Data 0.001 (0.001) Loss 1.0722 (1.3456) Prec@1 75.781 (68.742) Prec@5 90.625 (87.053) Epoch: [84][4930/10010] Time 0.339 (0.327) Data 0.001 (0.001) Loss 1.3842 (1.3457) Prec@1 71.875 (68.741) Prec@5 87.500 (87.051) Epoch: [84][4940/10010] Time 0.318 (0.327) Data 0.001 (0.001) Loss 1.3910 (1.3459) Prec@1 67.969 (68.740) Prec@5 86.719 (87.050) Epoch: [84][4950/10010] Time 0.315 (0.327) Data 0.001 (0.001) Loss 1.4402 (1.3460) Prec@1 67.188 (68.735) Prec@5 85.938 (87.047) Epoch: [84][4960/10010] Time 0.329 (0.327) Data 0.001 (0.001) Loss 1.5489 (1.3460) Prec@1 60.938 (68.735) Prec@5 80.469 (87.047) Epoch: [84][4970/10010] Time 0.325 (0.327) Data 0.000 (0.001) Loss 1.0722 (1.3460) Prec@1 77.344 (68.735) Prec@5 90.625 (87.048) Epoch: [84][4980/10010] Time 0.325 (0.327) Data 0.001 (0.001) Loss 1.1666 (1.3459) Prec@1 70.312 (68.733) Prec@5 88.281 (87.049) Epoch: [84][4990/10010] Time 0.312 (0.327) Data 0.001 (0.001) Loss 1.1209 (1.3460) Prec@1 78.125 (68.735) Prec@5 89.844 (87.047) Epoch: [84][5000/10010] Time 0.321 (0.327) Data 0.001 (0.001) Loss 1.5130 (1.3460) Prec@1 67.188 (68.736) Prec@5 85.156 (87.045) Epoch: [84][5010/10010] Time 0.319 (0.327) Data 0.001 (0.001) Loss 1.1251 (1.3459) Prec@1 75.000 (68.738) Prec@5 90.625 (87.046) Epoch: [84][5020/10010] Time 0.334 (0.327) Data 0.001 (0.001) Loss 1.3971 (1.3460) Prec@1 68.750 (68.736) Prec@5 84.375 (87.043) Epoch: [84][5030/10010] Time 0.316 (0.327) Data 0.001 (0.001) Loss 1.1830 (1.3461) Prec@1 71.094 (68.734) Prec@5 86.719 (87.041) Epoch: [84][5040/10010] Time 0.333 (0.327) Data 0.001 (0.001) Loss 0.9974 (1.3462) Prec@1 77.344 (68.732) Prec@5 92.188 (87.040) Epoch: [84][5050/10010] Time 0.319 (0.327) Data 0.001 (0.001) Loss 1.1344 (1.3461) Prec@1 71.094 (68.734) Prec@5 92.188 (87.044) Epoch: [84][5060/10010] Time 0.334 (0.327) Data 0.000 (0.001) Loss 1.4010 (1.3461) Prec@1 70.312 (68.734) Prec@5 85.156 (87.043) Epoch: [84][5070/10010] Time 0.339 (0.327) Data 0.001 (0.001) Loss 1.3798 (1.3460) Prec@1 71.094 (68.735) Prec@5 85.156 (87.045) Epoch: [84][5080/10010] Time 0.319 (0.327) Data 0.001 (0.001) Loss 1.2293 (1.3460) Prec@1 73.438 (68.735) Prec@5 89.062 (87.048) Epoch: [84][5090/10010] Time 0.320 (0.327) Data 0.001 (0.001) Loss 1.2126 (1.3460) Prec@1 68.750 (68.732) Prec@5 86.719 (87.048) Epoch: [84][5100/10010] Time 0.332 (0.327) Data 0.000 (0.001) Loss 1.5174 (1.3459) Prec@1 64.062 (68.735) Prec@5 86.719 (87.050) Epoch: [84][5110/10010] Time 0.320 (0.327) Data 0.001 (0.001) Loss 1.3032 (1.3460) Prec@1 68.750 (68.732) Prec@5 87.500 (87.051) Epoch: [84][5120/10010] Time 0.323 (0.327) Data 0.001 (0.001) Loss 1.5688 (1.3460) Prec@1 67.969 (68.735) Prec@5 85.938 (87.051) Epoch: [84][5130/10010] Time 0.325 (0.327) Data 0.001 (0.001) Loss 1.5457 (1.3461) Prec@1 66.406 (68.734) Prec@5 85.938 (87.050) Epoch: [84][5140/10010] Time 0.320 (0.327) Data 0.001 (0.001) Loss 1.7082 (1.3460) Prec@1 60.938 (68.734) Prec@5 80.469 (87.047) Epoch: [84][5150/10010] Time 0.338 (0.327) Data 0.000 (0.001) Loss 1.5867 (1.3462) Prec@1 66.406 (68.732) Prec@5 85.938 (87.045) Epoch: [84][5160/10010] Time 0.335 (0.327) Data 0.001 (0.001) Loss 1.2499 (1.3460) Prec@1 67.188 (68.732) Prec@5 90.625 (87.047) Epoch: [84][5170/10010] Time 0.319 (0.327) Data 0.000 (0.001) Loss 1.5381 (1.3463) Prec@1 66.406 (68.727) Prec@5 81.250 (87.042) Epoch: [84][5180/10010] Time 0.331 (0.327) Data 0.000 (0.001) Loss 1.4861 (1.3462) Prec@1 69.531 (68.729) Prec@5 84.375 (87.044) Epoch: [84][5190/10010] Time 0.315 (0.327) Data 0.001 (0.001) Loss 1.2828 (1.3461) Prec@1 66.406 (68.731) Prec@5 86.719 (87.045) Epoch: [84][5200/10010] Time 0.322 (0.327) Data 0.001 (0.001) Loss 1.2811 (1.3461) Prec@1 70.312 (68.731) Prec@5 86.719 (87.045) Epoch: [84][5210/10010] Time 0.325 (0.327) Data 0.000 (0.001) Loss 1.5480 (1.3463) Prec@1 67.188 (68.730) Prec@5 85.156 (87.043) Epoch: [84][5220/10010] Time 0.317 (0.327) Data 0.000 (0.001) Loss 1.2576 (1.3463) Prec@1 70.312 (68.729) Prec@5 88.281 (87.043) Epoch: [84][5230/10010] Time 0.338 (0.327) Data 0.000 (0.001) Loss 1.3461 (1.3464) Prec@1 65.625 (68.729) Prec@5 87.500 (87.041) Epoch: [84][5240/10010] Time 0.317 (0.327) Data 0.001 (0.001) Loss 1.1521 (1.3462) Prec@1 74.219 (68.732) Prec@5 90.625 (87.046) Epoch: [84][5250/10010] Time 0.337 (0.327) Data 0.001 (0.001) Loss 1.3067 (1.3462) Prec@1 63.281 (68.730) Prec@5 87.500 (87.046) Epoch: [84][5260/10010] Time 0.320 (0.327) Data 0.001 (0.001) Loss 1.6795 (1.3462) Prec@1 62.500 (68.731) Prec@5 82.812 (87.046) Epoch: [84][5270/10010] Time 0.322 (0.327) Data 0.001 (0.001) Loss 1.2736 (1.3463) Prec@1 71.875 (68.725) Prec@5 87.500 (87.047) Epoch: [84][5280/10010] Time 0.338 (0.327) Data 0.001 (0.001) Loss 1.0958 (1.3462) Prec@1 70.312 (68.727) Prec@5 92.188 (87.049) Epoch: [84][5290/10010] Time 0.327 (0.327) Data 0.000 (0.001) Loss 1.2504 (1.3462) Prec@1 67.188 (68.726) Prec@5 89.844 (87.049) Epoch: [84][5300/10010] Time 0.331 (0.327) Data 0.001 (0.001) Loss 1.1314 (1.3462) Prec@1 73.438 (68.726) Prec@5 91.406 (87.049) Epoch: [84][5310/10010] Time 0.327 (0.327) Data 0.001 (0.001) Loss 1.3981 (1.3461) Prec@1 70.312 (68.730) Prec@5 84.375 (87.051) Epoch: [84][5320/10010] Time 0.312 (0.327) Data 0.001 (0.001) Loss 1.2847 (1.3462) Prec@1 70.312 (68.730) Prec@5 85.938 (87.050) Epoch: [84][5330/10010] Time 0.312 (0.327) Data 0.001 (0.001) Loss 1.3769 (1.3460) Prec@1 70.312 (68.735) Prec@5 88.281 (87.054) Epoch: [84][5340/10010] Time 0.337 (0.327) Data 0.001 (0.001) Loss 1.4883 (1.3461) Prec@1 63.281 (68.731) Prec@5 79.688 (87.051) Epoch: [84][5350/10010] Time 0.341 (0.327) Data 0.001 (0.001) Loss 1.4873 (1.3462) Prec@1 64.844 (68.728) Prec@5 83.594 (87.048) Epoch: [84][5360/10010] Time 0.338 (0.327) Data 0.001 (0.001) Loss 1.3165 (1.3460) Prec@1 70.312 (68.730) Prec@5 85.938 (87.051) Epoch: [84][5370/10010] Time 0.340 (0.327) Data 0.001 (0.001) Loss 1.2268 (1.3460) Prec@1 72.656 (68.729) Prec@5 88.281 (87.051) Epoch: [84][5380/10010] Time 0.320 (0.327) Data 0.000 (0.001) Loss 1.3875 (1.3460) Prec@1 67.969 (68.726) Prec@5 87.500 (87.051) Epoch: [84][5390/10010] Time 0.339 (0.327) Data 0.001 (0.001) Loss 1.2309 (1.3460) Prec@1 69.531 (68.725) Prec@5 87.500 (87.049) Epoch: [84][5400/10010] Time 0.317 (0.327) Data 0.001 (0.001) Loss 1.4191 (1.3460) Prec@1 72.656 (68.727) Prec@5 85.156 (87.051) Epoch: [84][5410/10010] Time 0.332 (0.327) Data 0.001 (0.001) Loss 1.3444 (1.3460) Prec@1 71.094 (68.725) Prec@5 90.625 (87.051) Epoch: [84][5420/10010] Time 0.321 (0.327) Data 0.001 (0.001) Loss 1.3795 (1.3460) Prec@1 67.969 (68.726) Prec@5 87.500 (87.050) Epoch: [84][5430/10010] Time 0.342 (0.327) Data 0.001 (0.001) Loss 1.0533 (1.3460) Prec@1 76.562 (68.727) Prec@5 91.406 (87.050) Epoch: [84][5440/10010] Time 0.315 (0.327) Data 0.001 (0.001) Loss 1.3601 (1.3459) Prec@1 69.531 (68.728) Prec@5 85.938 (87.052) Epoch: [84][5450/10010] Time 0.320 (0.327) Data 0.001 (0.001) Loss 1.2659 (1.3459) Prec@1 72.656 (68.728) Prec@5 86.719 (87.053) Epoch: [84][5460/10010] Time 0.342 (0.327) Data 0.001 (0.001) Loss 1.3055 (1.3460) Prec@1 62.500 (68.724) Prec@5 90.625 (87.051) Epoch: [84][5470/10010] Time 0.321 (0.327) Data 0.000 (0.001) Loss 1.0802 (1.3458) Prec@1 74.219 (68.727) Prec@5 87.500 (87.052) Epoch: [84][5480/10010] Time 0.335 (0.327) Data 0.001 (0.001) Loss 1.0220 (1.3458) Prec@1 78.125 (68.727) Prec@5 92.188 (87.054) Epoch: [84][5490/10010] Time 0.332 (0.327) Data 0.001 (0.001) Loss 1.5006 (1.3459) Prec@1 67.188 (68.724) Prec@5 85.156 (87.051) Epoch: [84][5500/10010] Time 0.313 (0.327) Data 0.001 (0.001) Loss 1.5957 (1.3459) Prec@1 63.281 (68.721) Prec@5 83.594 (87.049) Epoch: [84][5510/10010] Time 0.318 (0.327) Data 0.001 (0.001) Loss 1.3248 (1.3460) Prec@1 65.625 (68.719) Prec@5 87.500 (87.047) Epoch: [84][5520/10010] Time 0.320 (0.327) Data 0.001 (0.001) Loss 1.2184 (1.3462) Prec@1 74.219 (68.716) Prec@5 87.500 (87.043) Epoch: [84][5530/10010] Time 0.321 (0.327) Data 0.001 (0.001) Loss 1.3351 (1.3462) Prec@1 77.344 (68.715) Prec@5 89.062 (87.043) Epoch: [84][5540/10010] Time 0.341 (0.327) Data 0.001 (0.001) Loss 1.5959 (1.3463) Prec@1 58.594 (68.712) Prec@5 81.250 (87.039) Epoch: [84][5550/10010] Time 0.329 (0.327) Data 0.001 (0.001) Loss 1.4627 (1.3463) Prec@1 59.375 (68.714) Prec@5 89.844 (87.040) Epoch: [84][5560/10010] Time 0.325 (0.327) Data 0.001 (0.001) Loss 1.3531 (1.3462) Prec@1 70.312 (68.715) Prec@5 87.500 (87.041) Epoch: [84][5570/10010] Time 0.314 (0.327) Data 0.001 (0.001) Loss 1.1577 (1.3463) Prec@1 69.531 (68.711) Prec@5 88.281 (87.042) Epoch: [84][5580/10010] Time 0.339 (0.327) Data 0.000 (0.001) Loss 1.2191 (1.3464) Prec@1 70.312 (68.709) Prec@5 90.625 (87.042) Epoch: [84][5590/10010] Time 0.338 (0.327) Data 0.001 (0.001) Loss 1.2800 (1.3463) Prec@1 76.562 (68.712) Prec@5 85.156 (87.043) Epoch: [84][5600/10010] Time 0.332 (0.327) Data 0.001 (0.001) Loss 1.3574 (1.3462) Prec@1 68.750 (68.713) Prec@5 86.719 (87.043) Epoch: [84][5610/10010] Time 0.340 (0.327) Data 0.000 (0.001) Loss 1.0537 (1.3461) Prec@1 71.094 (68.714) Prec@5 90.625 (87.044) Epoch: [84][5620/10010] Time 0.342 (0.327) Data 0.001 (0.001) Loss 1.3362 (1.3461) Prec@1 66.406 (68.714) Prec@5 85.938 (87.044) Epoch: [84][5630/10010] Time 0.345 (0.327) Data 0.000 (0.001) Loss 1.6288 (1.3462) Prec@1 66.406 (68.711) Prec@5 80.469 (87.041) /data/vision/torralba/deepscene/lib/anaconda2/lib/python2.7/site-packages/PIL/TiffImagePlugin.py:709: UserWarning: Corrupt EXIF data. Expecting to read 4 bytes but only got 0. warnings.warn(str(msg)) Epoch: [84][5640/10010] Time 0.316 (0.327) Data 0.001 (0.001) Loss 1.6313 (1.3462) Prec@1 64.844 (68.712) Prec@5 83.594 (87.044) /data/vision/torralba/deepscene/lib/anaconda2/lib/python2.7/site-packages/PIL/TiffImagePlugin.py:692: UserWarning: Possibly corrupt EXIF data. Expecting to read 2555904 bytes but only got 0. Skipping tag 0 "Skipping tag %s" % (size, len(data), tag)) Epoch: [84][5650/10010] Time 0.334 (0.327) Data 0.001 (0.001) Loss 1.5098 (1.3463) Prec@1 61.719 (68.709) Prec@5 84.375 (87.042) Epoch: [84][5660/10010] Time 0.329 (0.327) Data 0.000 (0.001) Loss 1.0382 (1.3462) Prec@1 79.688 (68.710) Prec@5 88.281 (87.044) Epoch: [84][5670/10010] Time 0.315 (0.327) Data 0.001 (0.001) Loss 1.2042 (1.3460) Prec@1 74.219 (68.714) Prec@5 89.844 (87.046) Epoch: [84][5680/10010] Time 0.321 (0.327) Data 0.001 (0.001) Loss 1.2643 (1.3461) Prec@1 69.531 (68.713) Prec@5 87.500 (87.046) Epoch: [84][5690/10010] Time 0.340 (0.327) Data 0.001 (0.001) Loss 1.2332 (1.3460) Prec@1 75.781 (68.714) Prec@5 87.500 (87.047) Epoch: [84][5700/10010] Time 0.341 (0.327) Data 0.001 (0.001) Loss 1.4223 (1.3458) Prec@1 64.844 (68.718) Prec@5 85.938 (87.049) Epoch: [84][5710/10010] Time 0.331 (0.327) Data 0.000 (0.001) Loss 1.3085 (1.3458) Prec@1 69.531 (68.718) Prec@5 88.281 (87.049) Epoch: [84][5720/10010] Time 0.336 (0.327) Data 0.000 (0.001) Loss 1.5020 (1.3458) Prec@1 64.062 (68.717) Prec@5 85.938 (87.049) Epoch: [84][5730/10010] Time 0.326 (0.327) Data 0.001 (0.001) Loss 1.4197 (1.3458) Prec@1 66.406 (68.718) Prec@5 84.375 (87.049) Epoch: [84][5740/10010] Time 0.340 (0.327) Data 0.000 (0.001) Loss 1.4021 (1.3457) Prec@1 67.969 (68.720) Prec@5 85.938 (87.050) Epoch: [84][5750/10010] Time 0.337 (0.327) Data 0.000 (0.001) Loss 1.5406 (1.3459) Prec@1 63.281 (68.715) Prec@5 82.031 (87.048) Epoch: [84][5760/10010] Time 0.318 (0.327) Data 0.001 (0.001) Loss 1.0418 (1.3457) Prec@1 75.781 (68.719) Prec@5 93.750 (87.050) Epoch: [84][5770/10010] Time 0.318 (0.327) Data 0.001 (0.001) Loss 1.0941 (1.3458) Prec@1 73.438 (68.720) Prec@5 89.062 (87.049) Epoch: [84][5780/10010] Time 0.328 (0.327) Data 0.001 (0.001) Loss 1.5556 (1.3459) Prec@1 66.406 (68.717) Prec@5 85.938 (87.046) Epoch: [84][5790/10010] Time 0.317 (0.327) Data 0.001 (0.001) Loss 1.3845 (1.3460) Prec@1 70.312 (68.716) Prec@5 85.938 (87.045) Epoch: [84][5800/10010] Time 0.322 (0.327) Data 0.001 (0.001) Loss 1.5413 (1.3462) Prec@1 64.844 (68.711) Prec@5 85.156 (87.043) Epoch: [84][5810/10010] Time 0.337 (0.327) Data 0.001 (0.001) Loss 1.4378 (1.3461) Prec@1 65.625 (68.713) Prec@5 88.281 (87.045) Epoch: [84][5820/10010] Time 0.324 (0.327) Data 0.001 (0.001) Loss 1.4386 (1.3461) Prec@1 69.531 (68.711) Prec@5 85.156 (87.045) Epoch: [84][5830/10010] Time 0.321 (0.327) Data 0.001 (0.001) Loss 1.1297 (1.3461) Prec@1 73.438 (68.712) Prec@5 92.188 (87.045) Epoch: [84][5840/10010] Time 0.341 (0.327) Data 0.000 (0.001) Loss 1.2993 (1.3460) Prec@1 68.750 (68.715) Prec@5 88.281 (87.047) Epoch: [84][5850/10010] Time 0.315 (0.327) Data 0.001 (0.001) Loss 1.3284 (1.3460) Prec@1 66.406 (68.717) Prec@5 86.719 (87.047) Epoch: [84][5860/10010] Time 0.322 (0.327) Data 0.001 (0.001) Loss 1.1335 (1.3458) Prec@1 70.312 (68.720) Prec@5 91.406 (87.048) Epoch: [84][5870/10010] Time 0.329 (0.327) Data 0.001 (0.001) Loss 1.6546 (1.3458) Prec@1 61.719 (68.719) Prec@5 85.938 (87.048) Epoch: [84][5880/10010] Time 0.322 (0.327) Data 0.000 (0.001) Loss 1.5019 (1.3457) Prec@1 66.406 (68.720) Prec@5 86.719 (87.050) Epoch: [84][5890/10010] Time 0.324 (0.327) Data 0.001 (0.001) Loss 1.1270 (1.3457) Prec@1 71.875 (68.719) Prec@5 92.188 (87.051) Epoch: [84][5900/10010] Time 0.321 (0.327) Data 0.001 (0.001) Loss 1.3413 (1.3457) Prec@1 74.219 (68.719) Prec@5 86.719 (87.050) Epoch: [84][5910/10010] Time 0.328 (0.327) Data 0.001 (0.001) Loss 1.3021 (1.3456) Prec@1 69.531 (68.722) Prec@5 87.500 (87.052) Epoch: [84][5920/10010] Time 0.322 (0.327) Data 0.001 (0.001) Loss 1.4045 (1.3456) Prec@1 62.500 (68.721) Prec@5 87.500 (87.053) Epoch: [84][5930/10010] Time 0.347 (0.327) Data 0.000 (0.001) Loss 1.1480 (1.3456) Prec@1 70.312 (68.722) Prec@5 91.406 (87.054) Epoch: [84][5940/10010] Time 0.321 (0.327) Data 0.001 (0.001) Loss 1.2263 (1.3458) Prec@1 75.000 (68.720) Prec@5 87.500 (87.053) Epoch: [84][5950/10010] Time 0.336 (0.327) Data 0.001 (0.001) Loss 1.1490 (1.3457) Prec@1 70.312 (68.721) Prec@5 89.844 (87.053) Epoch: [84][5960/10010] Time 0.321 (0.327) Data 0.001 (0.001) Loss 1.6647 (1.3457) Prec@1 66.406 (68.720) Prec@5 83.594 (87.053) Epoch: [84][5970/10010] Time 0.323 (0.327) Data 0.000 (0.001) Loss 1.1816 (1.3458) Prec@1 75.000 (68.717) Prec@5 89.062 (87.053) Epoch: [84][5980/10010] Time 0.320 (0.327) Data 0.002 (0.001) Loss 1.5312 (1.3458) Prec@1 69.531 (68.717) Prec@5 85.938 (87.055) Epoch: [84][5990/10010] Time 0.322 (0.327) Data 0.001 (0.001) Loss 1.4979 (1.3458) Prec@1 67.188 (68.717) Prec@5 83.594 (87.054) Epoch: [84][6000/10010] Time 0.337 (0.327) Data 0.001 (0.001) Loss 1.2636 (1.3459) Prec@1 69.531 (68.717) Prec@5 90.625 (87.054) Epoch: [84][6010/10010] Time 0.325 (0.327) Data 0.000 (0.001) Loss 1.3469 (1.3459) Prec@1 70.312 (68.716) Prec@5 88.281 (87.055) Epoch: [84][6020/10010] Time 0.339 (0.327) Data 0.000 (0.001) Loss 1.6533 (1.3458) Prec@1 60.156 (68.717) Prec@5 79.688 (87.055) Epoch: [84][6030/10010] Time 0.320 (0.327) Data 0.001 (0.001) Loss 1.4133 (1.3458) Prec@1 65.625 (68.716) Prec@5 83.594 (87.056) Epoch: [84][6040/10010] Time 0.319 (0.327) Data 0.001 (0.001) Loss 1.3437 (1.3459) Prec@1 65.625 (68.711) Prec@5 86.719 (87.055) Epoch: [84][6050/10010] Time 0.324 (0.327) Data 0.001 (0.001) Loss 1.4226 (1.3458) Prec@1 65.625 (68.712) Prec@5 88.281 (87.056) Epoch: [84][6060/10010] Time 0.332 (0.327) Data 0.001 (0.001) Loss 1.1246 (1.3459) Prec@1 74.219 (68.709) Prec@5 91.406 (87.054) Epoch: [84][6070/10010] Time 0.339 (0.327) Data 0.001 (0.001) Loss 1.1952 (1.3458) Prec@1 74.219 (68.711) Prec@5 89.062 (87.054) Epoch: [84][6080/10010] Time 0.324 (0.327) Data 0.000 (0.001) Loss 1.1926 (1.3459) Prec@1 75.000 (68.709) Prec@5 88.281 (87.054) Epoch: [84][6090/10010] Time 0.337 (0.327) Data 0.001 (0.001) Loss 1.4897 (1.3459) Prec@1 64.062 (68.708) Prec@5 88.281 (87.055) Epoch: [84][6100/10010] Time 0.321 (0.327) Data 0.001 (0.001) Loss 1.3022 (1.3459) Prec@1 64.844 (68.710) Prec@5 85.156 (87.055) Epoch: [84][6110/10010] Time 0.326 (0.327) Data 0.001 (0.001) Loss 1.1082 (1.3458) Prec@1 71.875 (68.710) Prec@5 89.062 (87.056) Epoch: [84][6120/10010] Time 0.320 (0.327) Data 0.000 (0.001) Loss 1.2339 (1.3458) Prec@1 70.312 (68.707) Prec@5 86.719 (87.055) Epoch: [84][6130/10010] Time 0.319 (0.327) Data 0.000 (0.001) Loss 1.4194 (1.3458) Prec@1 69.531 (68.707) Prec@5 86.719 (87.056) Epoch: [84][6140/10010] Time 0.327 (0.327) Data 0.001 (0.001) Loss 1.3926 (1.3459) Prec@1 69.531 (68.704) Prec@5 89.062 (87.055) Epoch: [84][6150/10010] Time 0.320 (0.327) Data 0.000 (0.001) Loss 1.1759 (1.3459) Prec@1 69.531 (68.702) Prec@5 87.500 (87.055) Epoch: [84][6160/10010] Time 0.336 (0.327) Data 0.001 (0.001) Loss 1.2473 (1.3460) Prec@1 66.406 (68.697) Prec@5 87.500 (87.051) Epoch: [84][6170/10010] Time 0.323 (0.327) Data 0.001 (0.001) Loss 1.2664 (1.3459) Prec@1 66.406 (68.698) Prec@5 88.281 (87.053) Epoch: [84][6180/10010] Time 0.338 (0.327) Data 0.000 (0.001) Loss 1.2618 (1.3459) Prec@1 75.000 (68.698) Prec@5 88.281 (87.054) Epoch: [84][6190/10010] Time 0.327 (0.327) Data 0.000 (0.001) Loss 1.3382 (1.3460) Prec@1 67.969 (68.695) Prec@5 85.938 (87.053) Epoch: [84][6200/10010] Time 0.327 (0.327) Data 0.000 (0.001) Loss 1.2799 (1.3459) Prec@1 69.531 (68.697) Prec@5 89.062 (87.053) Epoch: [84][6210/10010] Time 0.342 (0.327) Data 0.000 (0.001) Loss 1.3116 (1.3460) Prec@1 68.750 (68.696) Prec@5 86.719 (87.052) Epoch: [84][6220/10010] Time 0.322 (0.327) Data 0.001 (0.001) Loss 1.3388 (1.3460) Prec@1 64.844 (68.696) Prec@5 88.281 (87.051) Epoch: [84][6230/10010] Time 0.328 (0.327) Data 0.001 (0.001) Loss 1.6794 (1.3461) Prec@1 64.062 (68.692) Prec@5 82.031 (87.050) Epoch: [84][6240/10010] Time 0.329 (0.327) Data 0.001 (0.001) Loss 1.3621 (1.3462) Prec@1 72.656 (68.691) Prec@5 88.281 (87.048) Epoch: [84][6250/10010] Time 0.329 (0.327) Data 0.000 (0.001) Loss 1.4345 (1.3462) Prec@1 67.969 (68.692) Prec@5 85.938 (87.050) Epoch: [84][6260/10010] Time 0.337 (0.327) Data 0.001 (0.001) Loss 1.2627 (1.3462) Prec@1 67.188 (68.692) Prec@5 88.281 (87.049) Epoch: [84][6270/10010] Time 0.335 (0.327) Data 0.001 (0.001) Loss 1.5012 (1.3462) Prec@1 69.531 (68.692) Prec@5 81.250 (87.049) Epoch: [84][6280/10010] Time 0.338 (0.327) Data 0.000 (0.001) Loss 1.3515 (1.3461) Prec@1 71.094 (68.694) Prec@5 89.844 (87.051) Epoch: [84][6290/10010] Time 0.320 (0.327) Data 0.001 (0.001) Loss 1.2996 (1.3462) Prec@1 71.875 (68.692) Prec@5 85.156 (87.048) Epoch: [84][6300/10010] Time 0.337 (0.327) Data 0.001 (0.001) Loss 1.4299 (1.3461) Prec@1 64.062 (68.693) Prec@5 85.156 (87.049) Epoch: [84][6310/10010] Time 0.332 (0.327) Data 0.001 (0.001) Loss 1.3642 (1.3460) Prec@1 68.750 (68.694) Prec@5 85.156 (87.051) Epoch: [84][6320/10010] Time 0.333 (0.327) Data 0.001 (0.001) Loss 1.1508 (1.3460) Prec@1 69.531 (68.693) Prec@5 92.188 (87.052) Epoch: [84][6330/10010] Time 0.337 (0.327) Data 0.001 (0.001) Loss 1.2147 (1.3460) Prec@1 69.531 (68.693) Prec@5 88.281 (87.053) Epoch: [84][6340/10010] Time 0.342 (0.327) Data 0.001 (0.001) Loss 1.2049 (1.3460) Prec@1 71.875 (68.690) Prec@5 89.062 (87.052) Epoch: [84][6350/10010] Time 0.338 (0.327) Data 0.001 (0.001) Loss 1.5264 (1.3459) Prec@1 63.281 (68.693) Prec@5 85.156 (87.054) Epoch: [84][6360/10010] Time 0.324 (0.327) Data 0.000 (0.001) Loss 1.4803 (1.3458) Prec@1 66.406 (68.695) Prec@5 84.375 (87.056) Epoch: [84][6370/10010] Time 0.320 (0.327) Data 0.000 (0.001) Loss 1.4337 (1.3458) Prec@1 65.625 (68.693) Prec@5 86.719 (87.054) /data/vision/torralba/deepscene/lib/anaconda2/lib/python2.7/site-packages/PIL/TiffImagePlugin.py:692: UserWarning: Possibly corrupt EXIF data. Expecting to read 19660800 bytes but only got 0. Skipping tag 0 "Skipping tag %s" % (size, len(data), tag)) /data/vision/torralba/deepscene/lib/anaconda2/lib/python2.7/site-packages/PIL/TiffImagePlugin.py:692: UserWarning: Possibly corrupt EXIF data. Expecting to read 18481152 bytes but only got 0. Skipping tag 0 "Skipping tag %s" % (size, len(data), tag)) /data/vision/torralba/deepscene/lib/anaconda2/lib/python2.7/site-packages/PIL/TiffImagePlugin.py:692: UserWarning: Possibly corrupt EXIF data. Expecting to read 37093376 bytes but only got 0. Skipping tag 0 "Skipping tag %s" % (size, len(data), tag)) /data/vision/torralba/deepscene/lib/anaconda2/lib/python2.7/site-packages/PIL/TiffImagePlugin.py:692: UserWarning: Possibly corrupt EXIF data. Expecting to read 39976960 bytes but only got 0. Skipping tag 0 "Skipping tag %s" % (size, len(data), tag)) /data/vision/torralba/deepscene/lib/anaconda2/lib/python2.7/site-packages/PIL/TiffImagePlugin.py:692: UserWarning: Possibly corrupt EXIF data. Expecting to read 34865152 bytes but only got 0. Skipping tag 0 "Skipping tag %s" % (size, len(data), tag)) /data/vision/torralba/deepscene/lib/anaconda2/lib/python2.7/site-packages/PIL/TiffImagePlugin.py:709: UserWarning: Corrupt EXIF data. Expecting to read 12 bytes but only got 10. warnings.warn(str(msg)) Epoch: [84][6380/10010] Time 0.331 (0.327) Data 0.001 (0.001) Loss 1.5919 (1.3459) Prec@1 63.281 (68.689) Prec@5 87.500 (87.052) Epoch: [84][6390/10010] Time 0.336 (0.327) Data 0.001 (0.001) Loss 1.3248 (1.3460) Prec@1 67.188 (68.688) Prec@5 89.062 (87.053) Epoch: [84][6400/10010] Time 0.310 (0.327) Data 0.001 (0.001) Loss 1.3479 (1.3460) Prec@1 67.188 (68.687) Prec@5 87.500 (87.054) Epoch: [84][6410/10010] Time 0.338 (0.327) Data 0.001 (0.001) Loss 1.3916 (1.3460) Prec@1 69.531 (68.687) Prec@5 86.719 (87.055) Epoch: [84][6420/10010] Time 0.324 (0.327) Data 0.000 (0.001) Loss 1.3632 (1.3461) Prec@1 68.750 (68.686) Prec@5 85.938 (87.054) Epoch: [84][6430/10010] Time 0.326 (0.327) Data 0.001 (0.001) Loss 1.4364 (1.3461) Prec@1 67.969 (68.686) Prec@5 85.156 (87.051) Epoch: [84][6440/10010] Time 0.312 (0.327) Data 0.001 (0.001) Loss 1.6083 (1.3463) Prec@1 64.062 (68.681) Prec@5 82.812 (87.050) Epoch: [84][6450/10010] Time 0.324 (0.327) Data 0.001 (0.001) Loss 1.3044 (1.3463) Prec@1 70.312 (68.682) Prec@5 87.500 (87.049) Epoch: [84][6460/10010] Time 0.320 (0.327) Data 0.001 (0.001) Loss 1.5741 (1.3464) Prec@1 60.938 (68.679) Prec@5 81.250 (87.048) Epoch: [84][6470/10010] Time 0.321 (0.327) Data 0.001 (0.001) Loss 1.4851 (1.3465) Prec@1 60.156 (68.675) Prec@5 86.719 (87.048) Epoch: [84][6480/10010] Time 0.326 (0.327) Data 0.001 (0.001) Loss 1.4568 (1.3466) Prec@1 68.750 (68.671) Prec@5 83.594 (87.046) Epoch: [84][6490/10010] Time 0.322 (0.327) Data 0.001 (0.001) Loss 1.1521 (1.3464) Prec@1 76.562 (68.675) Prec@5 90.625 (87.048) Epoch: [84][6500/10010] Time 0.317 (0.327) Data 0.001 (0.001) Loss 1.5503 (1.3465) Prec@1 60.938 (68.673) Prec@5 85.938 (87.049) Epoch: [84][6510/10010] Time 0.319 (0.327) Data 0.001 (0.001) Loss 1.6515 (1.3465) Prec@1 62.500 (68.673) Prec@5 82.812 (87.048) Epoch: [84][6520/10010] Time 0.321 (0.327) Data 0.001 (0.001) Loss 1.4736 (1.3465) Prec@1 60.156 (68.674) Prec@5 85.938 (87.049) Epoch: [84][6530/10010] Time 0.323 (0.327) Data 0.001 (0.001) Loss 1.1721 (1.3466) Prec@1 74.219 (68.677) Prec@5 89.844 (87.048) Epoch: [84][6540/10010] Time 0.317 (0.327) Data 0.001 (0.001) Loss 1.3071 (1.3467) Prec@1 66.406 (68.674) Prec@5 86.719 (87.046) Epoch: [84][6550/10010] Time 0.321 (0.327) Data 0.000 (0.001) Loss 1.2514 (1.3467) Prec@1 69.531 (68.673) Prec@5 88.281 (87.047) Epoch: [84][6560/10010] Time 0.336 (0.327) Data 0.000 (0.001) Loss 1.1974 (1.3465) Prec@1 71.875 (68.675) Prec@5 88.281 (87.049) Epoch: [84][6570/10010] Time 0.330 (0.327) Data 0.001 (0.001) Loss 1.7044 (1.3465) Prec@1 62.500 (68.674) Prec@5 79.688 (87.049) Epoch: [84][6580/10010] Time 0.338 (0.327) Data 0.000 (0.001) Loss 1.0923 (1.3464) Prec@1 69.531 (68.677) Prec@5 91.406 (87.050) Epoch: [84][6590/10010] Time 0.311 (0.327) Data 0.001 (0.001) Loss 1.5275 (1.3464) Prec@1 67.188 (68.678) Prec@5 87.500 (87.052) Epoch: [84][6600/10010] Time 0.320 (0.327) Data 0.000 (0.001) Loss 1.3979 (1.3464) Prec@1 67.188 (68.678) Prec@5 85.938 (87.051) Epoch: [84][6610/10010] Time 0.323 (0.327) Data 0.001 (0.001) Loss 1.4640 (1.3466) Prec@1 67.188 (68.675) Prec@5 85.938 (87.049) Epoch: [84][6620/10010] Time 0.317 (0.327) Data 0.001 (0.001) Loss 1.2782 (1.3466) Prec@1 64.844 (68.675) Prec@5 88.281 (87.050) Epoch: [84][6630/10010] Time 0.331 (0.327) Data 0.001 (0.001) Loss 1.1768 (1.3465) Prec@1 71.875 (68.677) Prec@5 85.938 (87.052) Epoch: [84][6640/10010] Time 0.332 (0.327) Data 0.001 (0.001) Loss 1.3261 (1.3467) Prec@1 69.531 (68.675) Prec@5 88.281 (87.049) Epoch: [84][6650/10010] Time 0.314 (0.327) Data 0.001 (0.001) Loss 1.6123 (1.3466) Prec@1 63.281 (68.675) Prec@5 86.719 (87.052) Epoch: [84][6660/10010] Time 0.315 (0.327) Data 0.001 (0.001) Loss 1.4891 (1.3467) Prec@1 66.406 (68.673) Prec@5 82.812 (87.050) Epoch: [84][6670/10010] Time 0.324 (0.327) Data 0.001 (0.001) Loss 1.1576 (1.3467) Prec@1 73.438 (68.674) Prec@5 87.500 (87.052) Epoch: [84][6680/10010] Time 0.320 (0.327) Data 0.001 (0.001) Loss 1.2986 (1.3466) Prec@1 70.312 (68.676) Prec@5 85.938 (87.052) Epoch: [84][6690/10010] Time 0.321 (0.327) Data 0.001 (0.001) Loss 1.1314 (1.3466) Prec@1 74.219 (68.674) Prec@5 89.844 (87.052) Epoch: [84][6700/10010] Time 0.317 (0.327) Data 0.001 (0.001) Loss 1.4491 (1.3467) Prec@1 64.062 (68.671) Prec@5 82.812 (87.050) Epoch: [84][6710/10010] Time 0.343 (0.327) Data 0.001 (0.001) Loss 1.1423 (1.3468) Prec@1 72.656 (68.668) Prec@5 87.500 (87.049) Epoch: [84][6720/10010] Time 0.319 (0.327) Data 0.001 (0.001) Loss 1.3718 (1.3468) Prec@1 67.969 (68.665) Prec@5 86.719 (87.050) Epoch: [84][6730/10010] Time 0.330 (0.327) Data 0.001 (0.001) Loss 1.5078 (1.3469) Prec@1 65.625 (68.662) Prec@5 86.719 (87.050) Epoch: [84][6740/10010] Time 0.343 (0.327) Data 0.000 (0.001) Loss 1.4698 (1.3469) Prec@1 70.312 (68.664) Prec@5 84.375 (87.049) Epoch: [84][6750/10010] Time 0.318 (0.327) Data 0.000 (0.001) Loss 1.3195 (1.3468) Prec@1 68.750 (68.666) Prec@5 86.719 (87.050) Epoch: [84][6760/10010] Time 0.320 (0.327) Data 0.001 (0.001) Loss 1.0298 (1.3468) Prec@1 77.344 (68.664) Prec@5 89.062 (87.050) Epoch: [84][6770/10010] Time 0.318 (0.327) Data 0.000 (0.001) Loss 1.3097 (1.3470) Prec@1 74.219 (68.662) Prec@5 86.719 (87.045) Epoch: [84][6780/10010] Time 0.338 (0.327) Data 0.001 (0.001) Loss 1.6271 (1.3471) Prec@1 62.500 (68.659) Prec@5 84.375 (87.044) Epoch: [84][6790/10010] Time 0.343 (0.327) Data 0.001 (0.001) Loss 1.5225 (1.3474) Prec@1 63.281 (68.655) Prec@5 82.812 (87.040) Epoch: [84][6800/10010] Time 0.329 (0.327) Data 0.001 (0.001) Loss 1.3848 (1.3474) Prec@1 71.875 (68.655) Prec@5 83.594 (87.042) Epoch: [84][6810/10010] Time 0.339 (0.327) Data 0.001 (0.001) Loss 1.3364 (1.3472) Prec@1 71.875 (68.658) Prec@5 89.062 (87.043) Epoch: [84][6820/10010] Time 0.339 (0.327) Data 0.001 (0.001) Loss 1.0812 (1.3473) Prec@1 72.656 (68.656) Prec@5 89.062 (87.041) Epoch: [84][6830/10010] Time 0.337 (0.327) Data 0.001 (0.001) Loss 1.3890 (1.3473) Prec@1 71.875 (68.656) Prec@5 86.719 (87.043) Epoch: [84][6840/10010] Time 0.335 (0.327) Data 0.001 (0.001) Loss 1.1421 (1.3472) Prec@1 71.875 (68.657) Prec@5 89.062 (87.044) Epoch: [84][6850/10010] Time 0.307 (0.327) Data 0.001 (0.001) Loss 1.3407 (1.3471) Prec@1 71.094 (68.658) Prec@5 86.719 (87.045) Epoch: [84][6860/10010] Time 0.340 (0.327) Data 0.001 (0.001) Loss 1.2363 (1.3471) Prec@1 70.312 (68.660) Prec@5 88.281 (87.046) Epoch: [84][6870/10010] Time 0.320 (0.327) Data 0.000 (0.001) Loss 1.4407 (1.3472) Prec@1 64.062 (68.659) Prec@5 85.938 (87.046) Epoch: [84][6880/10010] Time 0.322 (0.327) Data 0.000 (0.001) Loss 1.4820 (1.3471) Prec@1 68.750 (68.658) Prec@5 84.375 (87.046) Epoch: [84][6890/10010] Time 0.340 (0.327) Data 0.000 (0.001) Loss 1.4675 (1.3472) Prec@1 69.531 (68.655) Prec@5 83.594 (87.046) Epoch: [84][6900/10010] Time 0.335 (0.327) Data 0.001 (0.001) Loss 1.2745 (1.3472) Prec@1 73.438 (68.657) Prec@5 89.062 (87.047) Epoch: [84][6910/10010] Time 0.321 (0.327) Data 0.001 (0.001) Loss 1.4308 (1.3471) Prec@1 64.062 (68.658) Prec@5 88.281 (87.049) Epoch: [84][6920/10010] Time 0.323 (0.327) Data 0.001 (0.001) Loss 1.0791 (1.3472) Prec@1 74.219 (68.656) Prec@5 92.188 (87.049) Epoch: [84][6930/10010] Time 0.319 (0.327) Data 0.001 (0.001) Loss 1.1254 (1.3473) Prec@1 67.969 (68.654) Prec@5 91.406 (87.047) Epoch: [84][6940/10010] Time 0.339 (0.327) Data 0.000 (0.001) Loss 1.3655 (1.3473) Prec@1 64.844 (68.653) Prec@5 85.156 (87.047) Epoch: [84][6950/10010] Time 0.322 (0.327) Data 0.001 (0.001) Loss 1.2683 (1.3473) Prec@1 71.875 (68.653) Prec@5 89.844 (87.047) Epoch: [84][6960/10010] Time 0.340 (0.327) Data 0.000 (0.001) Loss 1.4067 (1.3474) Prec@1 70.312 (68.651) Prec@5 88.281 (87.048) Epoch: [84][6970/10010] Time 0.315 (0.327) Data 0.000 (0.001) Loss 1.6839 (1.3474) Prec@1 62.500 (68.650) Prec@5 82.812 (87.048) Epoch: [84][6980/10010] Time 0.340 (0.327) Data 0.000 (0.001) Loss 1.2350 (1.3474) Prec@1 70.312 (68.650) Prec@5 88.281 (87.049) Epoch: [84][6990/10010] Time 0.317 (0.327) Data 0.001 (0.001) Loss 1.2643 (1.3473) Prec@1 71.094 (68.648) Prec@5 88.281 (87.049) Epoch: [84][7000/10010] Time 0.318 (0.327) Data 0.001 (0.001) Loss 1.1728 (1.3473) Prec@1 74.219 (68.648) Prec@5 88.281 (87.048) Epoch: [84][7010/10010] Time 0.337 (0.327) Data 0.001 (0.001) Loss 1.3285 (1.3474) Prec@1 70.312 (68.647) Prec@5 86.719 (87.048) Epoch: [84][7020/10010] Time 0.339 (0.327) Data 0.000 (0.001) Loss 1.3326 (1.3474) Prec@1 68.750 (68.645) Prec@5 87.500 (87.047) Epoch: [84][7030/10010] Time 0.341 (0.327) Data 0.001 (0.001) Loss 1.2184 (1.3475) Prec@1 75.781 (68.643) Prec@5 85.156 (87.046) Epoch: [84][7040/10010] Time 0.330 (0.327) Data 0.001 (0.001) Loss 1.4753 (1.3475) Prec@1 65.625 (68.644) Prec@5 86.719 (87.045) Epoch: [84][7050/10010] Time 0.316 (0.327) Data 0.001 (0.001) Loss 1.4127 (1.3476) Prec@1 65.625 (68.643) Prec@5 86.719 (87.044) Epoch: [84][7060/10010] Time 0.323 (0.327) Data 0.000 (0.001) Loss 1.3420 (1.3476) Prec@1 66.406 (68.643) Prec@5 86.719 (87.044) Epoch: [84][7070/10010] Time 0.340 (0.327) Data 0.001 (0.001) Loss 1.3280 (1.3475) Prec@1 67.969 (68.645) Prec@5 87.500 (87.046) Epoch: [84][7080/10010] Time 0.310 (0.327) Data 0.001 (0.001) Loss 1.3449 (1.3475) Prec@1 67.969 (68.645) Prec@5 85.938 (87.046) Epoch: [84][7090/10010] Time 0.329 (0.327) Data 0.000 (0.001) Loss 1.3807 (1.3475) Prec@1 68.750 (68.646) Prec@5 90.625 (87.045) Epoch: [84][7100/10010] Time 0.320 (0.327) Data 0.000 (0.001) Loss 1.3852 (1.3475) Prec@1 69.531 (68.646) Prec@5 86.719 (87.045) Epoch: [84][7110/10010] Time 0.337 (0.327) Data 0.001 (0.001) Loss 1.1704 (1.3475) Prec@1 73.438 (68.647) Prec@5 90.625 (87.044) Epoch: [84][7120/10010] Time 0.336 (0.327) Data 0.000 (0.001) Loss 1.3005 (1.3476) Prec@1 67.969 (68.646) Prec@5 88.281 (87.043) Epoch: [84][7130/10010] Time 0.332 (0.327) Data 0.000 (0.001) Loss 1.5117 (1.3477) Prec@1 63.281 (68.644) Prec@5 82.812 (87.041) Epoch: [84][7140/10010] Time 0.329 (0.327) Data 0.001 (0.001) Loss 1.2297 (1.3477) Prec@1 71.094 (68.645) Prec@5 89.062 (87.044) Epoch: [84][7150/10010] Time 0.334 (0.327) Data 0.000 (0.001) Loss 1.2069 (1.3477) Prec@1 74.219 (68.646) Prec@5 86.719 (87.041) Epoch: [84][7160/10010] Time 0.339 (0.327) Data 0.001 (0.001) Loss 1.3355 (1.3476) Prec@1 70.312 (68.648) Prec@5 89.062 (87.043) Epoch: [84][7170/10010] Time 0.324 (0.327) Data 0.000 (0.001) Loss 1.2429 (1.3476) Prec@1 67.188 (68.649) Prec@5 89.062 (87.043) Epoch: [84][7180/10010] Time 0.321 (0.327) Data 0.001 (0.001) Loss 1.2655 (1.3475) Prec@1 71.094 (68.649) Prec@5 89.844 (87.044) Epoch: [84][7190/10010] Time 0.326 (0.327) Data 0.001 (0.001) Loss 1.4832 (1.3475) Prec@1 67.969 (68.649) Prec@5 85.156 (87.044) Epoch: [84][7200/10010] Time 0.335 (0.327) Data 0.001 (0.001) Loss 1.3400 (1.3475) Prec@1 65.625 (68.649) Prec@5 86.719 (87.043) Epoch: [84][7210/10010] Time 0.335 (0.327) Data 0.001 (0.001) Loss 1.4689 (1.3475) Prec@1 66.406 (68.646) Prec@5 82.812 (87.042) Epoch: [84][7220/10010] Time 0.339 (0.327) Data 0.001 (0.001) Loss 1.3072 (1.3475) Prec@1 72.656 (68.646) Prec@5 87.500 (87.043) Epoch: [84][7230/10010] Time 0.321 (0.327) Data 0.001 (0.001) Loss 1.1382 (1.3476) Prec@1 68.750 (68.644) Prec@5 89.062 (87.043) Epoch: [84][7240/10010] Time 0.315 (0.327) Data 0.000 (0.001) Loss 1.3170 (1.3475) Prec@1 67.969 (68.645) Prec@5 89.062 (87.042) Epoch: [84][7250/10010] Time 0.342 (0.327) Data 0.000 (0.001) Loss 1.5554 (1.3476) Prec@1 63.281 (68.644) Prec@5 85.156 (87.042) Epoch: [84][7260/10010] Time 0.323 (0.327) Data 0.001 (0.001) Loss 1.4185 (1.3478) Prec@1 69.531 (68.640) Prec@5 82.031 (87.040) Epoch: [84][7270/10010] Time 0.335 (0.327) Data 0.001 (0.001) Loss 1.6343 (1.3479) Prec@1 63.281 (68.640) Prec@5 85.156 (87.039) Epoch: [84][7280/10010] Time 0.322 (0.327) Data 0.001 (0.001) Loss 1.0641 (1.3478) Prec@1 74.219 (68.640) Prec@5 91.406 (87.040) Epoch: [84][7290/10010] Time 0.319 (0.327) Data 0.001 (0.001) Loss 1.4768 (1.3479) Prec@1 63.281 (68.639) Prec@5 83.594 (87.040) Epoch: [84][7300/10010] Time 0.317 (0.327) Data 0.001 (0.001) Loss 1.3968 (1.3480) Prec@1 67.188 (68.636) Prec@5 86.719 (87.039) Epoch: [84][7310/10010] Time 0.334 (0.327) Data 0.001 (0.001) Loss 1.5174 (1.3479) Prec@1 65.625 (68.637) Prec@5 85.156 (87.041) Epoch: [84][7320/10010] Time 0.322 (0.327) Data 0.001 (0.001) Loss 1.4595 (1.3481) Prec@1 69.531 (68.634) Prec@5 85.938 (87.038) Epoch: [84][7330/10010] Time 0.316 (0.327) Data 0.001 (0.001) Loss 1.3127 (1.3480) Prec@1 67.969 (68.634) Prec@5 88.281 (87.040) Epoch: [84][7340/10010] Time 0.337 (0.327) Data 0.001 (0.001) Loss 1.4814 (1.3480) Prec@1 64.844 (68.632) Prec@5 82.812 (87.040) Epoch: [84][7350/10010] Time 0.333 (0.327) Data 0.001 (0.001) Loss 1.2703 (1.3480) Prec@1 73.438 (68.633) Prec@5 90.625 (87.040) Epoch: [84][7360/10010] Time 0.314 (0.327) Data 0.001 (0.001) Loss 1.3730 (1.3480) Prec@1 66.406 (68.632) Prec@5 85.156 (87.039) Epoch: [84][7370/10010] Time 0.326 (0.327) Data 0.001 (0.001) Loss 1.2205 (1.3479) Prec@1 71.094 (68.636) Prec@5 89.844 (87.043) Epoch: [84][7380/10010] Time 0.326 (0.327) Data 0.001 (0.001) Loss 1.3471 (1.3479) Prec@1 64.844 (68.636) Prec@5 87.500 (87.043) Epoch: [84][7390/10010] Time 0.313 (0.327) Data 0.001 (0.001) Loss 1.5091 (1.3479) Prec@1 67.969 (68.635) Prec@5 85.156 (87.042) Epoch: [84][7400/10010] Time 0.318 (0.327) Data 0.001 (0.001) Loss 1.1930 (1.3480) Prec@1 67.188 (68.632) Prec@5 90.625 (87.038) Epoch: [84][7410/10010] Time 0.320 (0.327) Data 0.001 (0.001) Loss 1.4356 (1.3480) Prec@1 67.188 (68.633) Prec@5 86.719 (87.039) Epoch: [84][7420/10010] Time 0.326 (0.327) Data 0.001 (0.001) Loss 1.0312 (1.3478) Prec@1 73.438 (68.635) Prec@5 91.406 (87.041) Epoch: [84][7430/10010] Time 0.313 (0.327) Data 0.001 (0.001) Loss 1.2975 (1.3479) Prec@1 70.312 (68.634) Prec@5 89.062 (87.042) Epoch: [84][7440/10010] Time 0.315 (0.327) Data 0.001 (0.001) Loss 1.4104 (1.3479) Prec@1 68.750 (68.632) Prec@5 86.719 (87.041) Epoch: [84][7450/10010] Time 0.325 (0.327) Data 0.000 (0.001) Loss 1.3929 (1.3480) Prec@1 68.750 (68.630) Prec@5 84.375 (87.041) Epoch: [84][7460/10010] Time 0.312 (0.327) Data 0.001 (0.001) Loss 1.4636 (1.3478) Prec@1 63.281 (68.632) Prec@5 83.594 (87.043) Epoch: [84][7470/10010] Time 0.322 (0.327) Data 0.001 (0.001) Loss 1.4446 (1.3478) Prec@1 61.719 (68.632) Prec@5 86.719 (87.043) Epoch: [84][7480/10010] Time 0.334 (0.327) Data 0.000 (0.001) Loss 1.5212 (1.3478) Prec@1 68.750 (68.633) Prec@5 82.812 (87.044) Epoch: [84][7490/10010] Time 0.334 (0.327) Data 0.000 (0.001) Loss 1.5753 (1.3478) Prec@1 63.281 (68.632) Prec@5 82.812 (87.044) Epoch: [84][7500/10010] Time 0.337 (0.327) Data 0.001 (0.001) Loss 1.0542 (1.3478) Prec@1 75.781 (68.634) Prec@5 92.188 (87.044) Epoch: [84][7510/10010] Time 0.318 (0.327) Data 0.000 (0.001) Loss 1.5230 (1.3479) Prec@1 62.500 (68.631) Prec@5 85.156 (87.044) Epoch: [84][7520/10010] Time 0.332 (0.327) Data 0.001 (0.001) Loss 1.0581 (1.3477) Prec@1 75.000 (68.633) Prec@5 91.406 (87.046) Epoch: [84][7530/10010] Time 0.320 (0.327) Data 0.001 (0.001) Loss 1.4841 (1.3478) Prec@1 63.281 (68.629) Prec@5 86.719 (87.044) Epoch: [84][7540/10010] Time 0.339 (0.327) Data 0.000 (0.001) Loss 1.2274 (1.3478) Prec@1 68.750 (68.628) Prec@5 92.969 (87.045) Epoch: [84][7550/10010] Time 0.317 (0.327) Data 0.000 (0.001) Loss 1.1416 (1.3478) Prec@1 74.219 (68.628) Prec@5 88.281 (87.045) Epoch: [84][7560/10010] Time 0.335 (0.327) Data 0.001 (0.001) Loss 1.3226 (1.3478) Prec@1 70.312 (68.628) Prec@5 85.156 (87.044) Epoch: [84][7570/10010] Time 0.340 (0.327) Data 0.001 (0.001) Loss 1.5302 (1.3478) Prec@1 65.625 (68.629) Prec@5 83.594 (87.043) Epoch: [84][7580/10010] Time 0.315 (0.327) Data 0.000 (0.001) Loss 1.4657 (1.3478) Prec@1 60.938 (68.629) Prec@5 85.156 (87.043) Epoch: [84][7590/10010] Time 0.327 (0.327) Data 0.001 (0.001) Loss 1.2639 (1.3477) Prec@1 71.875 (68.632) Prec@5 86.719 (87.044) Epoch: [84][7600/10010] Time 0.334 (0.327) Data 0.000 (0.001) Loss 1.6070 (1.3479) Prec@1 60.938 (68.628) Prec@5 82.031 (87.042) Epoch: [84][7610/10010] Time 0.322 (0.327) Data 0.000 (0.001) Loss 1.2441 (1.3479) Prec@1 71.094 (68.628) Prec@5 88.281 (87.043) Epoch: [84][7620/10010] Time 0.321 (0.327) Data 0.001 (0.001) Loss 1.3624 (1.3478) Prec@1 65.625 (68.627) Prec@5 88.281 (87.044) Epoch: [84][7630/10010] Time 0.336 (0.327) Data 0.001 (0.001) Loss 1.5538 (1.3479) Prec@1 64.844 (68.626) Prec@5 82.812 (87.043) Epoch: [84][7640/10010] Time 0.333 (0.327) Data 0.001 (0.001) Loss 1.2699 (1.3479) Prec@1 68.750 (68.625) Prec@5 86.719 (87.042) Epoch: [84][7650/10010] Time 0.334 (0.327) Data 0.001 (0.001) Loss 1.1542 (1.3479) Prec@1 71.094 (68.623) Prec@5 91.406 (87.043) Epoch: [84][7660/10010] Time 0.332 (0.327) Data 0.001 (0.001) Loss 1.4567 (1.3479) Prec@1 67.969 (68.623) Prec@5 84.375 (87.043) Epoch: [84][7670/10010] Time 0.343 (0.327) Data 0.001 (0.001) Loss 1.4783 (1.3480) Prec@1 68.750 (68.622) Prec@5 83.594 (87.041) Epoch: [84][7680/10010] Time 0.322 (0.327) Data 0.001 (0.001) Loss 1.4787 (1.3479) Prec@1 63.281 (68.622) Prec@5 85.938 (87.042) Epoch: [84][7690/10010] Time 0.341 (0.327) Data 0.000 (0.001) Loss 1.1830 (1.3478) Prec@1 71.875 (68.624) Prec@5 91.406 (87.044) Epoch: [84][7700/10010] Time 0.316 (0.327) Data 0.001 (0.001) Loss 1.2583 (1.3479) Prec@1 71.875 (68.622) Prec@5 86.719 (87.043) Epoch: [84][7710/10010] Time 0.322 (0.327) Data 0.001 (0.001) Loss 1.0502 (1.3478) Prec@1 71.875 (68.624) Prec@5 89.844 (87.043) Epoch: [84][7720/10010] Time 0.342 (0.327) Data 0.000 (0.001) Loss 1.1702 (1.3479) Prec@1 75.000 (68.623) Prec@5 87.500 (87.041) Epoch: [84][7730/10010] Time 0.319 (0.327) Data 0.000 (0.001) Loss 1.2561 (1.3479) Prec@1 70.312 (68.622) Prec@5 85.156 (87.041) Epoch: [84][7740/10010] Time 0.346 (0.327) Data 0.001 (0.001) Loss 1.4748 (1.3478) Prec@1 65.625 (68.624) Prec@5 85.938 (87.041) Epoch: [84][7750/10010] Time 0.334 (0.327) Data 0.001 (0.001) Loss 1.3537 (1.3478) Prec@1 67.969 (68.625) Prec@5 86.719 (87.042) Epoch: [84][7760/10010] Time 0.338 (0.327) Data 0.001 (0.001) Loss 1.2186 (1.3478) Prec@1 71.094 (68.626) Prec@5 90.625 (87.043) Epoch: [84][7770/10010] Time 0.330 (0.327) Data 0.000 (0.001) Loss 1.4067 (1.3479) Prec@1 68.750 (68.623) Prec@5 87.500 (87.041) Epoch: [84][7780/10010] Time 0.316 (0.327) Data 0.001 (0.001) Loss 1.2311 (1.3479) Prec@1 71.875 (68.624) Prec@5 89.062 (87.042) Epoch: [84][7790/10010] Time 0.341 (0.327) Data 0.000 (0.001) Loss 1.1669 (1.3479) Prec@1 69.531 (68.624) Prec@5 89.062 (87.042) Epoch: [84][7800/10010] Time 0.316 (0.327) Data 0.001 (0.001) Loss 1.4221 (1.3479) Prec@1 64.062 (68.623) Prec@5 89.062 (87.043) Epoch: [84][7810/10010] Time 0.325 (0.327) Data 0.001 (0.001) Loss 1.1129 (1.3479) Prec@1 72.656 (68.622) Prec@5 92.188 (87.043) Epoch: [84][7820/10010] Time 0.340 (0.327) Data 0.000 (0.001) Loss 1.2538 (1.3479) Prec@1 69.531 (68.621) Prec@5 85.938 (87.044) Epoch: [84][7830/10010] Time 0.336 (0.327) Data 0.001 (0.001) Loss 1.2983 (1.3479) Prec@1 64.844 (68.620) Prec@5 89.844 (87.044) Epoch: [84][7840/10010] Time 0.323 (0.327) Data 0.001 (0.001) Loss 0.9582 (1.3478) Prec@1 76.562 (68.624) Prec@5 93.750 (87.045) Epoch: [84][7850/10010] Time 0.321 (0.327) Data 0.001 (0.001) Loss 1.3615 (1.3479) Prec@1 63.281 (68.623) Prec@5 84.375 (87.045) Epoch: [84][7860/10010] Time 0.320 (0.327) Data 0.001 (0.001) Loss 1.5190 (1.3479) Prec@1 61.719 (68.623) Prec@5 82.031 (87.046) Epoch: [84][7870/10010] Time 0.323 (0.327) Data 0.001 (0.001) Loss 1.5916 (1.3480) Prec@1 64.062 (68.623) Prec@5 84.375 (87.044) Epoch: [84][7880/10010] Time 0.318 (0.327) Data 0.001 (0.001) Loss 1.2565 (1.3480) Prec@1 72.656 (68.621) Prec@5 83.594 (87.044) Epoch: [84][7890/10010] Time 0.341 (0.327) Data 0.001 (0.001) Loss 1.5032 (1.3480) Prec@1 68.750 (68.620) Prec@5 82.812 (87.043) Epoch: [84][7900/10010] Time 0.329 (0.327) Data 0.000 (0.001) Loss 1.5453 (1.3481) Prec@1 64.844 (68.620) Prec@5 84.375 (87.042) Epoch: [84][7910/10010] Time 0.312 (0.327) Data 0.004 (0.001) Loss 1.1675 (1.3481) Prec@1 71.875 (68.623) Prec@5 91.406 (87.043) Epoch: [84][7920/10010] Time 0.340 (0.327) Data 0.000 (0.001) Loss 1.2271 (1.3480) Prec@1 67.969 (68.623) Prec@5 87.500 (87.044) Epoch: [84][7930/10010] Time 0.318 (0.327) Data 0.000 (0.001) Loss 1.6026 (1.3480) Prec@1 64.062 (68.623) Prec@5 81.250 (87.045) Epoch: [84][7940/10010] Time 0.337 (0.327) Data 0.001 (0.001) Loss 1.4616 (1.3480) Prec@1 62.500 (68.623) Prec@5 85.938 (87.045) Epoch: [84][7950/10010] Time 0.320 (0.327) Data 0.001 (0.001) Loss 1.3721 (1.3480) Prec@1 70.312 (68.622) Prec@5 87.500 (87.044) Epoch: [84][7960/10010] Time 0.330 (0.327) Data 0.001 (0.001) Loss 1.3790 (1.3480) Prec@1 67.188 (68.622) Prec@5 86.719 (87.043) Epoch: [84][7970/10010] Time 0.318 (0.327) Data 0.001 (0.001) Loss 1.0899 (1.3480) Prec@1 74.219 (68.623) Prec@5 89.844 (87.043) Epoch: [84][7980/10010] Time 0.335 (0.327) Data 0.001 (0.001) Loss 1.3825 (1.3480) Prec@1 66.406 (68.624) Prec@5 85.938 (87.043) Epoch: [84][7990/10010] Time 0.341 (0.327) Data 0.001 (0.001) Loss 1.3134 (1.3480) Prec@1 70.312 (68.623) Prec@5 85.938 (87.044) Epoch: [84][8000/10010] Time 0.316 (0.327) Data 0.001 (0.001) Loss 1.3374 (1.3478) Prec@1 68.750 (68.626) Prec@5 92.188 (87.045) Epoch: [84][8010/10010] Time 0.324 (0.327) Data 0.001 (0.001) Loss 1.1969 (1.3479) Prec@1 74.219 (68.625) Prec@5 89.844 (87.045) Epoch: [84][8020/10010] Time 0.329 (0.327) Data 0.001 (0.001) Loss 1.2603 (1.3480) Prec@1 69.531 (68.623) Prec@5 85.938 (87.042) Epoch: [84][8030/10010] Time 0.313 (0.327) Data 0.001 (0.001) Loss 1.5406 (1.3480) Prec@1 63.281 (68.625) Prec@5 81.250 (87.041) /data/vision/torralba/deepscene/lib/anaconda2/lib/python2.7/site-packages/PIL/TiffImagePlugin.py:692: UserWarning: Possibly corrupt EXIF data. Expecting to read 2555904 bytes but only got 0. Skipping tag 0 "Skipping tag %s" % (size, len(data), tag)) Epoch: [84][8040/10010] Time 0.336 (0.327) Data 0.000 (0.001) Loss 1.4095 (1.3480) Prec@1 65.625 (68.624) Prec@5 85.156 (87.042) Epoch: [84][8050/10010] Time 0.328 (0.327) Data 0.001 (0.001) Loss 1.3974 (1.3480) Prec@1 64.844 (68.624) Prec@5 85.938 (87.042) Epoch: [84][8060/10010] Time 0.312 (0.327) Data 0.000 (0.001) Loss 1.4282 (1.3481) Prec@1 67.188 (68.620) Prec@5 87.500 (87.040) Epoch: [84][8070/10010] Time 0.330 (0.327) Data 0.001 (0.001) Loss 1.4874 (1.3481) Prec@1 67.969 (68.620) Prec@5 85.156 (87.038) Epoch: [84][8080/10010] Time 0.317 (0.327) Data 0.001 (0.001) Loss 1.4316 (1.3481) Prec@1 63.281 (68.619) Prec@5 87.500 (87.040) Epoch: [84][8090/10010] Time 0.331 (0.327) Data 0.000 (0.001) Loss 1.0887 (1.3481) Prec@1 74.219 (68.620) Prec@5 92.188 (87.040) Epoch: [84][8100/10010] Time 0.347 (0.327) Data 0.001 (0.001) Loss 1.3250 (1.3482) Prec@1 66.406 (68.616) Prec@5 86.719 (87.040) Epoch: [84][8110/10010] Time 0.333 (0.327) Data 0.001 (0.001) Loss 1.4717 (1.3483) Prec@1 64.844 (68.613) Prec@5 85.156 (87.037) Epoch: [84][8120/10010] Time 0.321 (0.327) Data 0.001 (0.001) Loss 1.2688 (1.3483) Prec@1 74.219 (68.613) Prec@5 87.500 (87.037) Epoch: [84][8130/10010] Time 0.315 (0.327) Data 0.001 (0.001) Loss 1.2791 (1.3483) Prec@1 70.312 (68.614) Prec@5 85.938 (87.036) Epoch: [84][8140/10010] Time 0.334 (0.327) Data 0.001 (0.001) Loss 1.4878 (1.3484) Prec@1 66.406 (68.610) Prec@5 85.156 (87.035) Epoch: [84][8150/10010] Time 0.327 (0.327) Data 0.001 (0.001) Loss 1.2724 (1.3484) Prec@1 69.531 (68.611) Prec@5 87.500 (87.035) Epoch: [84][8160/10010] Time 0.319 (0.327) Data 0.000 (0.001) Loss 1.6368 (1.3485) Prec@1 61.719 (68.609) Prec@5 82.812 (87.034) Epoch: [84][8170/10010] Time 0.315 (0.327) Data 0.001 (0.001) Loss 1.2897 (1.3485) Prec@1 70.312 (68.608) Prec@5 88.281 (87.035) Epoch: [84][8180/10010] Time 0.317 (0.327) Data 0.000 (0.001) Loss 1.5635 (1.3485) Prec@1 64.844 (68.609) Prec@5 81.250 (87.034) Epoch: [84][8190/10010] Time 0.335 (0.327) Data 0.000 (0.001) Loss 1.2017 (1.3485) Prec@1 71.094 (68.610) Prec@5 90.625 (87.034) Epoch: [84][8200/10010] Time 0.318 (0.327) Data 0.000 (0.001) Loss 1.6112 (1.3485) Prec@1 64.062 (68.610) Prec@5 87.500 (87.034) Epoch: [84][8210/10010] Time 0.333 (0.327) Data 0.001 (0.001) Loss 1.3399 (1.3485) Prec@1 68.750 (68.611) Prec@5 85.156 (87.034) Epoch: [84][8220/10010] Time 0.322 (0.327) Data 0.001 (0.001) Loss 1.3281 (1.3485) Prec@1 67.969 (68.609) Prec@5 90.625 (87.035) Epoch: [84][8230/10010] Time 0.336 (0.327) Data 0.001 (0.001) Loss 1.2597 (1.3487) Prec@1 72.656 (68.606) Prec@5 85.156 (87.032) Epoch: [84][8240/10010] Time 0.340 (0.327) Data 0.000 (0.001) Loss 1.1618 (1.3486) Prec@1 75.000 (68.609) Prec@5 92.188 (87.034) Epoch: [84][8250/10010] Time 0.340 (0.327) Data 0.000 (0.001) Loss 1.2201 (1.3487) Prec@1 71.875 (68.607) Prec@5 92.188 (87.033) Epoch: [84][8260/10010] Time 0.326 (0.327) Data 0.000 (0.001) Loss 1.3327 (1.3488) Prec@1 68.750 (68.605) Prec@5 86.719 (87.032) Epoch: [84][8270/10010] Time 0.323 (0.327) Data 0.001 (0.001) Loss 1.4981 (1.3488) Prec@1 64.844 (68.605) Prec@5 84.375 (87.031) Epoch: [84][8280/10010] Time 0.324 (0.327) Data 0.001 (0.001) Loss 1.4750 (1.3488) Prec@1 67.188 (68.606) Prec@5 85.156 (87.031) Epoch: [84][8290/10010] Time 0.334 (0.327) Data 0.001 (0.001) Loss 1.2599 (1.3488) Prec@1 75.000 (68.604) Prec@5 87.500 (87.031) Epoch: [84][8300/10010] Time 0.331 (0.327) Data 0.001 (0.001) Loss 1.2685 (1.3487) Prec@1 71.094 (68.605) Prec@5 87.500 (87.033) Epoch: [84][8310/10010] Time 0.335 (0.327) Data 0.001 (0.001) Loss 1.3725 (1.3488) Prec@1 68.750 (68.606) Prec@5 87.500 (87.033) Epoch: [84][8320/10010] Time 0.339 (0.327) Data 0.001 (0.001) Loss 1.5083 (1.3489) Prec@1 63.281 (68.603) Prec@5 85.938 (87.031) Epoch: [84][8330/10010] Time 0.337 (0.327) Data 0.001 (0.001) Loss 1.0821 (1.3487) Prec@1 75.781 (68.607) Prec@5 89.062 (87.032) Epoch: [84][8340/10010] Time 0.314 (0.327) Data 0.001 (0.001) Loss 1.2656 (1.3488) Prec@1 70.312 (68.605) Prec@5 89.062 (87.032) Epoch: [84][8350/10010] Time 0.323 (0.327) Data 0.001 (0.001) Loss 1.2182 (1.3488) Prec@1 66.406 (68.606) Prec@5 88.281 (87.031) Epoch: [84][8360/10010] Time 0.319 (0.327) Data 0.001 (0.001) Loss 1.4301 (1.3488) Prec@1 64.844 (68.601) Prec@5 88.281 (87.031) Epoch: [84][8370/10010] Time 0.341 (0.327) Data 0.000 (0.001) Loss 1.2868 (1.3487) Prec@1 65.625 (68.603) Prec@5 88.281 (87.033) Epoch: [84][8380/10010] Time 0.339 (0.327) Data 0.000 (0.001) Loss 1.4816 (1.3488) Prec@1 70.312 (68.602) Prec@5 81.250 (87.032) Epoch: [84][8390/10010] Time 0.334 (0.327) Data 0.001 (0.001) Loss 1.1544 (1.3488) Prec@1 71.875 (68.600) Prec@5 89.062 (87.031) Epoch: [84][8400/10010] Time 0.325 (0.327) Data 0.000 (0.001) Loss 1.3327 (1.3488) Prec@1 68.750 (68.599) Prec@5 85.938 (87.032) Epoch: [84][8410/10010] Time 0.333 (0.327) Data 0.000 (0.001) Loss 1.4028 (1.3489) Prec@1 71.094 (68.596) Prec@5 83.594 (87.030) Epoch: [84][8420/10010] Time 0.325 (0.327) Data 0.001 (0.001) Loss 1.1279 (1.3488) Prec@1 75.781 (68.598) Prec@5 91.406 (87.030) Epoch: [84][8430/10010] Time 0.324 (0.327) Data 0.000 (0.001) Loss 1.4795 (1.3489) Prec@1 64.062 (68.597) Prec@5 88.281 (87.028) Epoch: [84][8440/10010] Time 0.335 (0.327) Data 0.000 (0.001) Loss 1.2629 (1.3490) Prec@1 67.969 (68.595) Prec@5 85.938 (87.027) Epoch: [84][8450/10010] Time 0.318 (0.327) Data 0.001 (0.001) Loss 1.3195 (1.3490) Prec@1 64.062 (68.593) Prec@5 89.844 (87.027) Epoch: [84][8460/10010] Time 0.331 (0.327) Data 0.001 (0.001) Loss 1.2984 (1.3489) Prec@1 71.875 (68.593) Prec@5 85.156 (87.028) Epoch: [84][8470/10010] Time 0.317 (0.327) Data 0.001 (0.001) Loss 1.2138 (1.3489) Prec@1 69.531 (68.593) Prec@5 90.625 (87.030) Epoch: [84][8480/10010] Time 0.328 (0.327) Data 0.001 (0.001) Loss 1.4415 (1.3489) Prec@1 67.188 (68.593) Prec@5 85.938 (87.029) Epoch: [84][8490/10010] Time 0.330 (0.327) Data 0.001 (0.001) Loss 1.2296 (1.3489) Prec@1 75.781 (68.597) Prec@5 87.500 (87.030) Epoch: [84][8500/10010] Time 0.335 (0.327) Data 0.001 (0.001) Loss 1.1935 (1.3489) Prec@1 68.750 (68.593) Prec@5 90.625 (87.029) Epoch: [84][8510/10010] Time 0.320 (0.327) Data 0.001 (0.001) Loss 1.1741 (1.3488) Prec@1 71.875 (68.595) Prec@5 88.281 (87.031) Epoch: [84][8520/10010] Time 0.329 (0.327) Data 0.001 (0.001) Loss 1.4972 (1.3488) Prec@1 64.844 (68.596) Prec@5 84.375 (87.031) Epoch: [84][8530/10010] Time 0.321 (0.327) Data 0.000 (0.001) Loss 1.3474 (1.3488) Prec@1 69.531 (68.597) Prec@5 88.281 (87.033) Epoch: [84][8540/10010] Time 0.325 (0.327) Data 0.001 (0.001) Loss 1.2296 (1.3488) Prec@1 71.094 (68.596) Prec@5 85.938 (87.031) Epoch: [84][8550/10010] Time 0.339 (0.327) Data 0.001 (0.001) Loss 1.1591 (1.3488) Prec@1 72.656 (68.595) Prec@5 90.625 (87.030) Epoch: [84][8560/10010] Time 0.334 (0.327) Data 0.001 (0.001) Loss 1.4222 (1.3489) Prec@1 67.969 (68.594) Prec@5 89.844 (87.030) Epoch: [84][8570/10010] Time 0.322 (0.327) Data 0.001 (0.001) Loss 1.2885 (1.3489) Prec@1 73.438 (68.595) Prec@5 87.500 (87.030) Epoch: [84][8580/10010] Time 0.321 (0.327) Data 0.001 (0.001) Loss 1.4953 (1.3489) Prec@1 65.625 (68.595) Prec@5 86.719 (87.028) Epoch: [84][8590/10010] Time 0.328 (0.327) Data 0.000 (0.001) Loss 1.3925 (1.3489) Prec@1 68.750 (68.594) Prec@5 87.500 (87.029) Epoch: [84][8600/10010] Time 0.319 (0.327) Data 0.001 (0.001) Loss 1.2607 (1.3487) Prec@1 70.312 (68.596) Prec@5 89.844 (87.031) Epoch: [84][8610/10010] Time 0.323 (0.327) Data 0.001 (0.001) Loss 1.5304 (1.3487) Prec@1 59.375 (68.598) Prec@5 85.156 (87.032) Epoch: [84][8620/10010] Time 0.320 (0.327) Data 0.000 (0.001) Loss 1.2766 (1.3487) Prec@1 65.625 (68.597) Prec@5 88.281 (87.032) Epoch: [84][8630/10010] Time 0.314 (0.327) Data 0.001 (0.001) Loss 1.4640 (1.3488) Prec@1 67.188 (68.595) Prec@5 82.031 (87.030) Epoch: [84][8640/10010] Time 0.321 (0.327) Data 0.001 (0.001) Loss 1.5439 (1.3488) Prec@1 64.062 (68.593) Prec@5 85.156 (87.029) Epoch: [84][8650/10010] Time 0.325 (0.327) Data 0.001 (0.001) Loss 1.3630 (1.3488) Prec@1 70.312 (68.594) Prec@5 85.938 (87.029) Epoch: [84][8660/10010] Time 0.318 (0.327) Data 0.000 (0.001) Loss 1.4930 (1.3488) Prec@1 64.062 (68.593) Prec@5 83.594 (87.029) Epoch: [84][8670/10010] Time 0.313 (0.327) Data 0.001 (0.001) Loss 1.0085 (1.3488) Prec@1 72.656 (68.593) Prec@5 91.406 (87.028) Epoch: [84][8680/10010] Time 0.318 (0.327) Data 0.001 (0.001) Loss 1.3256 (1.3489) Prec@1 69.531 (68.593) Prec@5 85.156 (87.028) Epoch: [84][8690/10010] Time 0.341 (0.327) Data 0.001 (0.001) Loss 1.1372 (1.3489) Prec@1 72.656 (68.593) Prec@5 89.062 (87.027) Epoch: [84][8700/10010] Time 0.341 (0.327) Data 0.000 (0.001) Loss 1.2910 (1.3489) Prec@1 72.656 (68.593) Prec@5 91.406 (87.028) Epoch: [84][8710/10010] Time 0.341 (0.327) Data 0.001 (0.001) Loss 1.6246 (1.3489) Prec@1 61.719 (68.593) Prec@5 85.938 (87.028) Epoch: [84][8720/10010] Time 0.320 (0.327) Data 0.000 (0.001) Loss 1.5763 (1.3489) Prec@1 62.500 (68.592) Prec@5 85.938 (87.028) Epoch: [84][8730/10010] Time 0.317 (0.327) Data 0.001 (0.001) Loss 1.1913 (1.3488) Prec@1 71.094 (68.592) Prec@5 89.062 (87.028) Epoch: [84][8740/10010] Time 0.336 (0.327) Data 0.000 (0.001) Loss 1.1012 (1.3488) Prec@1 72.656 (68.591) Prec@5 88.281 (87.028) Epoch: [84][8750/10010] Time 0.325 (0.327) Data 0.000 (0.001) Loss 1.4205 (1.3489) Prec@1 67.969 (68.589) Prec@5 85.938 (87.027) Epoch: [84][8760/10010] Time 0.337 (0.327) Data 0.001 (0.001) Loss 1.2934 (1.3490) Prec@1 63.281 (68.587) Prec@5 91.406 (87.027) Epoch: [84][8770/10010] Time 0.339 (0.327) Data 0.000 (0.001) Loss 1.4875 (1.3490) Prec@1 67.188 (68.586) Prec@5 86.719 (87.026) Epoch: [84][8780/10010] Time 0.319 (0.327) Data 0.001 (0.001) Loss 1.4702 (1.3491) Prec@1 68.750 (68.585) Prec@5 83.594 (87.025) Epoch: [84][8790/10010] Time 0.339 (0.327) Data 0.001 (0.001) Loss 1.1484 (1.3491) Prec@1 77.344 (68.585) Prec@5 89.844 (87.023) Epoch: [84][8800/10010] Time 0.317 (0.327) Data 0.000 (0.001) Loss 1.4667 (1.3492) Prec@1 64.844 (68.585) Prec@5 86.719 (87.023) Epoch: [84][8810/10010] Time 0.314 (0.327) Data 0.001 (0.001) Loss 1.2237 (1.3492) Prec@1 72.656 (68.586) Prec@5 91.406 (87.023) Epoch: [84][8820/10010] Time 0.339 (0.327) Data 0.001 (0.001) Loss 1.3389 (1.3491) Prec@1 68.750 (68.587) Prec@5 87.500 (87.024) Epoch: [84][8830/10010] Time 0.323 (0.327) Data 0.000 (0.001) Loss 1.6881 (1.3492) Prec@1 63.281 (68.586) Prec@5 81.250 (87.023) Epoch: [84][8840/10010] Time 0.323 (0.327) Data 0.001 (0.001) Loss 1.4273 (1.3492) Prec@1 64.844 (68.586) Prec@5 85.938 (87.023) Epoch: [84][8850/10010] Time 0.334 (0.327) Data 0.001 (0.001) Loss 1.0708 (1.3492) Prec@1 78.125 (68.587) Prec@5 91.406 (87.024) Epoch: [84][8860/10010] Time 0.324 (0.327) Data 0.001 (0.001) Loss 1.2272 (1.3492) Prec@1 73.438 (68.586) Prec@5 91.406 (87.024) Epoch: [84][8870/10010] Time 0.318 (0.327) Data 0.001 (0.001) Loss 1.6274 (1.3491) Prec@1 66.406 (68.588) Prec@5 81.250 (87.025) Epoch: [84][8880/10010] Time 0.341 (0.327) Data 0.000 (0.001) Loss 1.4139 (1.3491) Prec@1 66.406 (68.588) Prec@5 83.594 (87.025) Epoch: [84][8890/10010] Time 0.342 (0.327) Data 0.001 (0.001) Loss 1.3208 (1.3491) Prec@1 65.625 (68.588) Prec@5 85.938 (87.024) Epoch: [84][8900/10010] Time 0.332 (0.327) Data 0.000 (0.001) Loss 1.4517 (1.3491) Prec@1 62.500 (68.588) Prec@5 86.719 (87.025) Epoch: [84][8910/10010] Time 0.316 (0.327) Data 0.001 (0.001) Loss 1.2735 (1.3491) Prec@1 75.000 (68.588) Prec@5 88.281 (87.023) Epoch: [84][8920/10010] Time 0.317 (0.327) Data 0.001 (0.001) Loss 1.3110 (1.3492) Prec@1 70.312 (68.587) Prec@5 85.938 (87.022) Epoch: [84][8930/10010] Time 0.328 (0.327) Data 0.000 (0.001) Loss 1.1811 (1.3492) Prec@1 74.219 (68.588) Prec@5 92.188 (87.022) Epoch: [84][8940/10010] Time 0.335 (0.327) Data 0.001 (0.001) Loss 1.5206 (1.3492) Prec@1 67.188 (68.588) Prec@5 83.594 (87.022) Epoch: [84][8950/10010] Time 0.318 (0.327) Data 0.001 (0.001) Loss 1.5623 (1.3493) Prec@1 64.062 (68.588) Prec@5 82.812 (87.020) Epoch: [84][8960/10010] Time 0.324 (0.327) Data 0.001 (0.001) Loss 1.3032 (1.3493) Prec@1 70.312 (68.588) Prec@5 86.719 (87.020) Epoch: [84][8970/10010] Time 0.340 (0.327) Data 0.000 (0.001) Loss 1.4125 (1.3493) Prec@1 67.188 (68.588) Prec@5 86.719 (87.020) Epoch: [84][8980/10010] Time 0.311 (0.327) Data 0.001 (0.001) Loss 1.4653 (1.3494) Prec@1 60.938 (68.585) Prec@5 85.938 (87.020) Epoch: [84][8990/10010] Time 0.324 (0.327) Data 0.000 (0.001) Loss 1.2221 (1.3494) Prec@1 70.312 (68.585) Prec@5 89.844 (87.020) Epoch: [84][9000/10010] Time 0.336 (0.327) Data 0.001 (0.001) Loss 1.2895 (1.3494) Prec@1 66.406 (68.585) Prec@5 85.938 (87.020) Epoch: [84][9010/10010] Time 0.321 (0.327) Data 0.000 (0.001) Loss 1.8299 (1.3494) Prec@1 55.469 (68.585) Prec@5 81.250 (87.020) Epoch: [84][9020/10010] Time 0.336 (0.327) Data 0.001 (0.001) Loss 1.1260 (1.3494) Prec@1 78.906 (68.587) Prec@5 87.500 (87.020) Epoch: [84][9030/10010] Time 0.341 (0.327) Data 0.001 (0.001) Loss 1.6724 (1.3494) Prec@1 66.406 (68.587) Prec@5 83.594 (87.020) Epoch: [84][9040/10010] Time 0.338 (0.327) Data 0.001 (0.001) Loss 1.2498 (1.3494) Prec@1 64.844 (68.584) Prec@5 88.281 (87.020) Epoch: [84][9050/10010] Time 0.330 (0.327) Data 0.001 (0.001) Loss 1.1350 (1.3494) Prec@1 71.094 (68.585) Prec@5 89.062 (87.020) Epoch: [84][9060/10010] Time 0.322 (0.327) Data 0.001 (0.001) Loss 1.1734 (1.3493) Prec@1 74.219 (68.586) Prec@5 92.188 (87.021) Epoch: [84][9070/10010] Time 0.338 (0.327) Data 0.000 (0.001) Loss 1.7009 (1.3494) Prec@1 64.062 (68.584) Prec@5 80.469 (87.019) Epoch: [84][9080/10010] Time 0.324 (0.327) Data 0.001 (0.001) Loss 1.3524 (1.3495) Prec@1 67.969 (68.583) Prec@5 89.844 (87.018) Epoch: [84][9090/10010] Time 0.324 (0.327) Data 0.001 (0.001) Loss 1.4345 (1.3495) Prec@1 65.625 (68.583) Prec@5 89.062 (87.018) Epoch: [84][9100/10010] Time 0.314 (0.327) Data 0.001 (0.001) Loss 1.3728 (1.3494) Prec@1 71.875 (68.585) Prec@5 87.500 (87.020) Epoch: [84][9110/10010] Time 0.330 (0.327) Data 0.001 (0.001) Loss 1.4004 (1.3494) Prec@1 67.188 (68.584) Prec@5 88.281 (87.021) Epoch: [84][9120/10010] Time 0.341 (0.327) Data 0.000 (0.001) Loss 1.1032 (1.3493) Prec@1 72.656 (68.585) Prec@5 91.406 (87.023) Epoch: [84][9130/10010] Time 0.335 (0.327) Data 0.001 (0.001) Loss 1.2421 (1.3492) Prec@1 71.875 (68.585) Prec@5 86.719 (87.022) Epoch: [84][9140/10010] Time 0.338 (0.327) Data 0.001 (0.001) Loss 1.3777 (1.3492) Prec@1 66.406 (68.585) Prec@5 86.719 (87.022) Epoch: [84][9150/10010] Time 0.331 (0.327) Data 0.000 (0.001) Loss 1.5531 (1.3492) Prec@1 71.094 (68.585) Prec@5 86.719 (87.023) Epoch: [84][9160/10010] Time 0.321 (0.327) Data 0.001 (0.001) Loss 1.1736 (1.3492) Prec@1 68.750 (68.587) Prec@5 88.281 (87.022) Epoch: [84][9170/10010] Time 0.328 (0.327) Data 0.001 (0.001) Loss 1.3042 (1.3491) Prec@1 72.656 (68.588) Prec@5 88.281 (87.023) Epoch: [84][9180/10010] Time 0.332 (0.327) Data 0.001 (0.001) Loss 1.3558 (1.3491) Prec@1 71.875 (68.587) Prec@5 87.500 (87.023) Epoch: [84][9190/10010] Time 0.342 (0.327) Data 0.001 (0.001) Loss 1.4042 (1.3492) Prec@1 71.094 (68.585) Prec@5 87.500 (87.023) Epoch: [84][9200/10010] Time 0.313 (0.327) Data 0.001 (0.001) Loss 1.3975 (1.3492) Prec@1 66.406 (68.586) Prec@5 82.812 (87.023) Epoch: [84][9210/10010] Time 0.315 (0.327) Data 0.001 (0.001) Loss 1.3014 (1.3490) Prec@1 71.875 (68.589) Prec@5 87.500 (87.024) Epoch: [84][9220/10010] Time 0.328 (0.327) Data 0.001 (0.001) Loss 1.3367 (1.3491) Prec@1 67.969 (68.589) Prec@5 88.281 (87.025) Epoch: [84][9230/10010] Time 0.324 (0.327) Data 0.001 (0.001) Loss 1.2689 (1.3490) Prec@1 67.188 (68.588) Prec@5 86.719 (87.026) Epoch: [84][9240/10010] Time 0.337 (0.327) Data 0.000 (0.001) Loss 1.5861 (1.3489) Prec@1 63.281 (68.591) Prec@5 82.031 (87.026) Epoch: [84][9250/10010] Time 0.338 (0.327) Data 0.001 (0.001) Loss 1.4436 (1.3489) Prec@1 64.062 (68.591) Prec@5 88.281 (87.027) Epoch: [84][9260/10010] Time 0.320 (0.327) Data 0.001 (0.001) Loss 1.3051 (1.3489) Prec@1 67.969 (68.590) Prec@5 88.281 (87.027) Epoch: [84][9270/10010] Time 0.316 (0.327) Data 0.001 (0.001) Loss 1.6217 (1.3490) Prec@1 71.875 (68.589) Prec@5 80.469 (87.024) Epoch: [84][9280/10010] Time 0.338 (0.327) Data 0.001 (0.001) Loss 1.4072 (1.3489) Prec@1 66.406 (68.590) Prec@5 85.938 (87.025) Epoch: [84][9290/10010] Time 0.319 (0.327) Data 0.001 (0.001) Loss 1.4219 (1.3489) Prec@1 68.750 (68.590) Prec@5 86.719 (87.026) Epoch: [84][9300/10010] Time 0.332 (0.327) Data 0.001 (0.001) Loss 1.6238 (1.3490) Prec@1 65.625 (68.587) Prec@5 79.688 (87.025) Epoch: [84][9310/10010] Time 0.319 (0.327) Data 0.001 (0.001) Loss 1.4070 (1.3490) Prec@1 67.188 (68.585) Prec@5 86.719 (87.024) Epoch: [84][9320/10010] Time 0.314 (0.327) Data 0.000 (0.001) Loss 1.6749 (1.3490) Prec@1 64.062 (68.584) Prec@5 85.156 (87.024) Epoch: [84][9330/10010] Time 0.321 (0.327) Data 0.001 (0.001) Loss 1.4838 (1.3491) Prec@1 64.844 (68.582) Prec@5 84.375 (87.023) Epoch: [84][9340/10010] Time 0.337 (0.327) Data 0.001 (0.001) Loss 1.2592 (1.3491) Prec@1 71.094 (68.581) Prec@5 89.062 (87.022) Epoch: [84][9350/10010] Time 0.350 (0.327) Data 0.000 (0.001) Loss 1.2963 (1.3491) Prec@1 70.312 (68.580) Prec@5 85.938 (87.022) Epoch: [84][9360/10010] Time 0.334 (0.327) Data 0.001 (0.001) Loss 1.5659 (1.3492) Prec@1 66.406 (68.579) Prec@5 82.031 (87.022) Epoch: [84][9370/10010] Time 0.330 (0.327) Data 0.001 (0.001) Loss 1.0750 (1.3492) Prec@1 70.312 (68.578) Prec@5 90.625 (87.022) Epoch: [84][9380/10010] Time 0.317 (0.327) Data 0.001 (0.001) Loss 1.1436 (1.3491) Prec@1 73.438 (68.579) Prec@5 89.844 (87.023) Epoch: [84][9390/10010] Time 0.324 (0.327) Data 0.001 (0.001) Loss 1.7313 (1.3491) Prec@1 64.844 (68.581) Prec@5 81.250 (87.023) Epoch: [84][9400/10010] Time 0.337 (0.327) Data 0.001 (0.001) Loss 1.6742 (1.3491) Prec@1 62.500 (68.580) Prec@5 80.469 (87.022) Epoch: [84][9410/10010] Time 0.329 (0.327) Data 0.001 (0.001) Loss 1.6839 (1.3491) Prec@1 64.844 (68.581) Prec@5 81.250 (87.023) Epoch: [84][9420/10010] Time 0.336 (0.327) Data 0.000 (0.001) Loss 1.5432 (1.3490) Prec@1 61.719 (68.581) Prec@5 87.500 (87.023) Epoch: [84][9430/10010] Time 0.337 (0.327) Data 0.001 (0.001) Loss 1.2121 (1.3491) Prec@1 71.094 (68.581) Prec@5 87.500 (87.023) Epoch: [84][9440/10010] Time 0.332 (0.327) Data 0.000 (0.001) Loss 1.1549 (1.3490) Prec@1 71.875 (68.583) Prec@5 90.625 (87.023) Epoch: [84][9450/10010] Time 0.331 (0.327) Data 0.001 (0.001) Loss 1.3137 (1.3490) Prec@1 66.406 (68.581) Prec@5 86.719 (87.023) Epoch: [84][9460/10010] Time 0.316 (0.327) Data 0.001 (0.001) Loss 1.2495 (1.3492) Prec@1 71.094 (68.578) Prec@5 89.844 (87.020) Epoch: [84][9470/10010] Time 0.335 (0.327) Data 0.001 (0.001) Loss 1.6729 (1.3492) Prec@1 61.719 (68.577) Prec@5 82.031 (87.021) Epoch: [84][9480/10010] Time 0.333 (0.327) Data 0.001 (0.001) Loss 1.1791 (1.3491) Prec@1 67.188 (68.579) Prec@5 87.500 (87.023) Epoch: [84][9490/10010] Time 0.316 (0.327) Data 0.001 (0.001) Loss 1.6345 (1.3492) Prec@1 63.281 (68.577) Prec@5 82.031 (87.021) Epoch: [84][9500/10010] Time 0.336 (0.327) Data 0.001 (0.001) Loss 1.3526 (1.3491) Prec@1 64.844 (68.578) Prec@5 85.156 (87.022) Epoch: [84][9510/10010] Time 0.344 (0.327) Data 0.001 (0.001) Loss 1.3455 (1.3491) Prec@1 65.625 (68.578) Prec@5 86.719 (87.021) Epoch: [84][9520/10010] Time 0.323 (0.327) Data 0.001 (0.001) Loss 1.2637 (1.3491) Prec@1 71.094 (68.578) Prec@5 84.375 (87.020) Epoch: [84][9530/10010] Time 0.331 (0.327) Data 0.001 (0.001) Loss 1.4619 (1.3491) Prec@1 63.281 (68.579) Prec@5 86.719 (87.020) Epoch: [84][9540/10010] Time 0.325 (0.327) Data 0.001 (0.001) Loss 1.1464 (1.3491) Prec@1 70.312 (68.579) Prec@5 89.844 (87.021) Epoch: [84][9550/10010] Time 0.317 (0.327) Data 0.001 (0.001) Loss 1.4920 (1.3491) Prec@1 71.875 (68.580) Prec@5 82.812 (87.020) Epoch: [84][9560/10010] Time 0.333 (0.327) Data 0.001 (0.001) Loss 1.6839 (1.3492) Prec@1 62.500 (68.580) Prec@5 80.469 (87.019) Epoch: [84][9570/10010] Time 0.332 (0.327) Data 0.001 (0.001) Loss 1.3638 (1.3492) Prec@1 65.625 (68.579) Prec@5 86.719 (87.020) Epoch: [84][9580/10010] Time 0.322 (0.327) Data 0.001 (0.001) Loss 1.4126 (1.3491) Prec@1 67.188 (68.579) Prec@5 85.156 (87.021) Epoch: [84][9590/10010] Time 0.318 (0.327) Data 0.001 (0.001) Loss 1.2595 (1.3491) Prec@1 67.969 (68.579) Prec@5 85.156 (87.021) Epoch: [84][9600/10010] Time 0.330 (0.327) Data 0.001 (0.001) Loss 1.6746 (1.3491) Prec@1 59.375 (68.579) Prec@5 82.812 (87.020) Epoch: [84][9610/10010] Time 0.320 (0.327) Data 0.001 (0.001) Loss 1.2961 (1.3491) Prec@1 67.188 (68.579) Prec@5 85.156 (87.020) Epoch: [84][9620/10010] Time 0.316 (0.327) Data 0.001 (0.001) Loss 1.1184 (1.3491) Prec@1 76.562 (68.580) Prec@5 92.188 (87.020) Epoch: [84][9630/10010] Time 0.328 (0.327) Data 0.000 (0.001) Loss 1.2010 (1.3490) Prec@1 75.000 (68.583) Prec@5 89.062 (87.021) /data/vision/torralba/deepscene/lib/anaconda2/lib/python2.7/site-packages/PIL/TiffImagePlugin.py:692: UserWarning: Possibly corrupt EXIF data. Expecting to read 1835008 bytes but only got 0. Skipping tag 0 "Skipping tag %s" % (size, len(data), tag)) Epoch: [84][9640/10010] Time 0.342 (0.327) Data 0.001 (0.001) Loss 1.4264 (1.3490) Prec@1 66.406 (68.582) Prec@5 84.375 (87.020) Epoch: [84][9650/10010] Time 0.334 (0.327) Data 0.001 (0.001) Loss 1.3998 (1.3491) Prec@1 64.062 (68.581) Prec@5 84.375 (87.019) Epoch: [84][9660/10010] Time 0.315 (0.327) Data 0.001 (0.001) Loss 1.2266 (1.3491) Prec@1 74.219 (68.580) Prec@5 89.062 (87.019) Epoch: [84][9670/10010] Time 0.333 (0.327) Data 0.001 (0.001) Loss 1.2336 (1.3491) Prec@1 65.625 (68.579) Prec@5 88.281 (87.019) Epoch: [84][9680/10010] Time 0.318 (0.327) Data 0.001 (0.001) Loss 1.1869 (1.3491) Prec@1 70.312 (68.577) Prec@5 91.406 (87.019) Epoch: [84][9690/10010] Time 0.331 (0.327) Data 0.001 (0.001) Loss 1.1578 (1.3491) Prec@1 70.312 (68.577) Prec@5 89.062 (87.020) Epoch: [84][9700/10010] Time 0.328 (0.327) Data 0.001 (0.001) Loss 1.1541 (1.3491) Prec@1 69.531 (68.577) Prec@5 91.406 (87.021) Epoch: [84][9710/10010] Time 0.318 (0.327) Data 0.001 (0.001) Loss 1.3406 (1.3491) Prec@1 70.312 (68.578) Prec@5 89.844 (87.021) Epoch: [84][9720/10010] Time 0.331 (0.327) Data 0.001 (0.001) Loss 1.2632 (1.3492) Prec@1 66.406 (68.575) Prec@5 89.844 (87.020) Epoch: [84][9730/10010] Time 0.336 (0.327) Data 0.001 (0.001) Loss 1.4076 (1.3492) Prec@1 68.750 (68.574) Prec@5 88.281 (87.020) Epoch: [84][9740/10010] Time 0.334 (0.327) Data 0.001 (0.001) Loss 1.3423 (1.3492) Prec@1 69.531 (68.574) Prec@5 82.031 (87.019) Epoch: [84][9750/10010] Time 0.339 (0.327) Data 0.000 (0.001) Loss 1.3712 (1.3492) Prec@1 62.500 (68.572) Prec@5 85.938 (87.019) Epoch: [84][9760/10010] Time 0.315 (0.327) Data 0.001 (0.001) Loss 1.0811 (1.3491) Prec@1 71.094 (68.574) Prec@5 92.188 (87.020) Epoch: [84][9770/10010] Time 0.317 (0.327) Data 0.000 (0.001) Loss 1.1565 (1.3491) Prec@1 71.875 (68.572) Prec@5 89.844 (87.020) Epoch: [84][9780/10010] Time 0.341 (0.327) Data 0.001 (0.001) Loss 1.2817 (1.3491) Prec@1 70.312 (68.572) Prec@5 87.500 (87.020) Epoch: [84][9790/10010] Time 0.319 (0.327) Data 0.001 (0.001) Loss 1.1861 (1.3493) Prec@1 75.000 (68.570) Prec@5 90.625 (87.018) Epoch: [84][9800/10010] Time 0.320 (0.327) Data 0.000 (0.001) Loss 1.3308 (1.3493) Prec@1 69.531 (68.571) Prec@5 85.156 (87.017) Epoch: [84][9810/10010] Time 0.330 (0.327) Data 0.001 (0.001) Loss 1.3682 (1.3493) Prec@1 67.188 (68.571) Prec@5 86.719 (87.016) Epoch: [84][9820/10010] Time 0.310 (0.327) Data 0.001 (0.001) Loss 1.5270 (1.3494) Prec@1 66.406 (68.569) Prec@5 84.375 (87.015) Epoch: [84][9830/10010] Time 0.336 (0.327) Data 0.001 (0.001) Loss 1.5391 (1.3495) Prec@1 65.625 (68.567) Prec@5 80.469 (87.014) Epoch: [84][9840/10010] Time 0.314 (0.327) Data 0.001 (0.001) Loss 1.3347 (1.3494) Prec@1 71.875 (68.568) Prec@5 88.281 (87.014) Epoch: [84][9850/10010] Time 0.328 (0.327) Data 0.001 (0.001) Loss 1.5266 (1.3495) Prec@1 63.281 (68.567) Prec@5 85.938 (87.014) Epoch: [84][9860/10010] Time 0.317 (0.327) Data 0.001 (0.001) Loss 1.4149 (1.3494) Prec@1 64.062 (68.566) Prec@5 89.062 (87.014) Epoch: [84][9870/10010] Time 0.320 (0.327) Data 0.001 (0.001) Loss 1.1113 (1.3494) Prec@1 68.750 (68.566) Prec@5 93.750 (87.013) Epoch: [84][9880/10010] Time 0.337 (0.327) Data 0.001 (0.001) Loss 1.3597 (1.3495) Prec@1 70.312 (68.566) Prec@5 85.938 (87.013) Epoch: [84][9890/10010] Time 0.321 (0.327) Data 0.000 (0.001) Loss 1.2890 (1.3495) Prec@1 70.312 (68.566) Prec@5 85.938 (87.014) Epoch: [84][9900/10010] Time 0.318 (0.327) Data 0.001 (0.001) Loss 1.0438 (1.3495) Prec@1 77.344 (68.566) Prec@5 89.844 (87.014) Epoch: [84][9910/10010] Time 0.343 (0.327) Data 0.001 (0.001) Loss 1.5647 (1.3496) Prec@1 63.281 (68.561) Prec@5 85.156 (87.013) Epoch: [84][9920/10010] Time 0.319 (0.327) Data 0.001 (0.001) Loss 1.3858 (1.3496) Prec@1 67.188 (68.562) Prec@5 87.500 (87.013) Epoch: [84][9930/10010] Time 0.324 (0.327) Data 0.001 (0.001) Loss 1.1840 (1.3495) Prec@1 67.969 (68.564) Prec@5 88.281 (87.014) Epoch: [84][9940/10010] Time 0.339 (0.327) Data 0.001 (0.001) Loss 1.4549 (1.3495) Prec@1 66.406 (68.564) Prec@5 85.938 (87.014) Epoch: [84][9950/10010] Time 0.322 (0.327) Data 0.000 (0.001) Loss 1.1764 (1.3495) Prec@1 73.438 (68.562) Prec@5 87.500 (87.013) Epoch: [84][9960/10010] Time 0.335 (0.327) Data 0.001 (0.001) Loss 1.6474 (1.3496) Prec@1 60.938 (68.561) Prec@5 81.250 (87.012) Epoch: [84][9970/10010] Time 0.332 (0.327) Data 0.001 (0.001) Loss 1.5504 (1.3496) Prec@1 60.938 (68.560) Prec@5 84.375 (87.012) Epoch: [84][9980/10010] Time 0.330 (0.327) Data 0.001 (0.001) Loss 1.1307 (1.3496) Prec@1 72.656 (68.562) Prec@5 91.406 (87.013) Epoch: [84][9990/10010] Time 0.340 (0.327) Data 0.001 (0.001) Loss 1.1396 (1.3496) Prec@1 72.656 (68.562) Prec@5 86.719 (87.012) Epoch: [84][10000/10010] Time 0.325 (0.327) Data 0.000 (0.001) Loss 1.4807 (1.3496) Prec@1 64.844 (68.561) Prec@5 84.375 (87.011) Test: [0/391] Time 1.468 (1.468) Loss 0.6407 (0.6407) Prec@1 85.156 (85.156) Prec@5 96.875 (96.875) Test: [10/391] Time 0.103 (0.228) Loss 1.2060 (0.6288) Prec@1 70.312 (83.878) Prec@5 89.844 (95.597) Test: [20/391] Time 0.101 (0.169) Loss 0.7894 (0.8882) Prec@1 79.688 (77.307) Prec@5 94.531 (92.820) Test: [30/391] Time 0.103 (0.148) Loss 1.5579 (1.0084) Prec@1 70.312 (74.395) Prec@5 87.500 (91.885) Test: [40/391] Time 0.175 (0.140) Loss 0.9034 (0.9096) Prec@1 81.250 (77.001) Prec@5 90.625 (92.645) Test: [50/391] Time 0.101 (0.133) Loss 0.5613 (0.9404) Prec@1 83.594 (76.624) Prec@5 96.875 (92.371) Test: [60/391] Time 0.103 (0.128) Loss 0.9258 (0.8855) Prec@1 78.125 (78.048) Prec@5 92.969 (92.930) Test: [70/391] Time 0.100 (0.125) Loss 1.1491 (0.9148) Prec@1 64.844 (76.882) Prec@5 93.750 (92.903) Test: [80/391] Time 0.102 (0.122) Loss 0.9108 (0.9307) Prec@1 75.781 (76.225) Prec@5 95.312 (92.940) Test: [90/391] Time 0.102 (0.121) Loss 1.1061 (0.9313) Prec@1 61.719 (76.159) Prec@5 94.531 (93.046) Test: [100/391] Time 0.109 (0.119) Loss 0.6467 (0.9219) Prec@1 86.719 (76.052) Prec@5 96.875 (93.325) Test: [110/391] Time 0.107 (0.118) Loss 1.2615 (0.9259) Prec@1 54.688 (75.873) Prec@5 95.312 (93.426) Test: [120/391] Time 0.107 (0.117) Loss 0.7888 (0.9210) Prec@1 82.031 (76.104) Prec@5 96.094 (93.492) Test: [130/391] Time 0.109 (0.116) Loss 0.4697 (0.9166) Prec@1 92.969 (76.407) Prec@5 96.094 (93.541) Test: [140/391] Time 0.102 (0.116) Loss 1.1597 (0.9151) Prec@1 67.969 (76.274) Prec@5 91.406 (93.617) Test: [150/391] Time 0.104 (0.115) Loss 0.8789 (0.9199) Prec@1 74.219 (76.216) Prec@5 95.312 (93.502) Test: [160/391] Time 0.110 (0.114) Loss 0.9702 (0.9262) Prec@1 73.438 (76.135) Prec@5 92.969 (93.415) Test: [170/391] Time 0.109 (0.114) Loss 1.7489 (0.9551) Prec@1 55.469 (75.493) Prec@5 85.156 (93.106) Test: [180/391] Time 0.108 (0.114) Loss 2.0086 (0.9886) Prec@1 53.906 (74.836) Prec@5 85.156 (92.710) Test: [190/391] Time 0.103 (0.113) Loss 1.9069 (1.0197) Prec@1 57.812 (74.202) Prec@5 82.812 (92.298) Test: [200/391] Time 0.102 (0.113) Loss 0.9897 (1.0484) Prec@1 71.875 (73.675) Prec@5 94.531 (91.915) Test: [210/391] Time 0.107 (0.113) Loss 1.5491 (1.0678) Prec@1 66.406 (73.304) Prec@5 85.938 (91.691) Test: [220/391] Time 0.112 (0.113) Loss 0.6416 (1.0789) Prec@1 82.031 (73.073) Prec@5 96.094 (91.473) Test: [230/391] Time 0.099 (0.112) Loss 1.9679 (1.0922) Prec@1 56.250 (72.859) Prec@5 82.812 (91.345) Test: [240/391] Time 0.105 (0.112) Loss 1.3446 (1.0998) Prec@1 75.781 (72.750) Prec@5 85.156 (91.209) Test: [250/391] Time 0.114 (0.112) Loss 0.8347 (1.1229) Prec@1 80.469 (72.214) Prec@5 91.406 (90.924) Test: [260/391] Time 0.101 (0.111) Loss 1.3447 (1.1381) Prec@1 67.969 (71.923) Prec@5 88.281 (90.745) Test: [270/391] Time 0.101 (0.111) Loss 2.0295 (1.1495) Prec@1 50.781 (71.679) Prec@5 82.812 (90.602) Test: [280/391] Time 0.112 (0.111) Loss 1.1871 (1.1553) Prec@1 68.750 (71.580) Prec@5 92.188 (90.533) Test: [290/391] Time 0.100 (0.111) Loss 1.5110 (1.1646) Prec@1 51.562 (71.384) Prec@5 91.406 (90.375) Test: [300/391] Time 0.107 (0.111) Loss 1.2594 (1.1739) Prec@1 75.781 (71.213) Prec@5 87.500 (90.233) Test: [310/391] Time 0.106 (0.110) Loss 1.4762 (1.1817) Prec@1 62.500 (71.074) Prec@5 84.375 (90.113) Test: [320/391] Time 0.110 (0.110) Loss 0.7444 (1.1896) Prec@1 84.375 (70.950) Prec@5 92.969 (90.014) Test: [330/391] Time 0.098 (0.110) Loss 1.7688 (1.2068) Prec@1 60.156 (70.558) Prec@5 82.812 (89.818) Test: [340/391] Time 0.104 (0.110) Loss 1.1575 (1.2121) Prec@1 64.844 (70.404) Prec@5 94.531 (89.741) Test: [350/391] Time 0.101 (0.110) Loss 1.2528 (1.2170) Prec@1 70.312 (70.292) Prec@5 90.625 (89.655) Test: [360/391] Time 0.098 (0.110) Loss 1.3985 (1.2252) Prec@1 64.844 (70.120) Prec@5 92.188 (89.597) Test: [370/391] Time 0.108 (0.110) Loss 1.0542 (1.2203) Prec@1 69.531 (70.192) Prec@5 95.312 (89.673) Test: [380/391] Time 0.103 (0.109) Loss 0.9649 (1.2223) Prec@1 75.000 (70.153) Prec@5 93.750 (89.639) Test: [390/391] Time 0.068 (0.109) Loss 2.0891 (1.2153) Prec@1 38.750 (70.326) Prec@5 78.750 (89.722) * Prec@1 70.326 Prec@5 89.722 Epoch: [85][0/10010] Time 2.778 (2.778) Data 2.589 (2.589) Loss 1.3263 (1.3263) Prec@1 69.531 (69.531) Prec@5 86.719 (86.719) Epoch: [85][10/10010] Time 0.320 (0.539) Data 0.001 (0.236) Loss 1.0858 (1.3016) Prec@1 73.438 (68.892) Prec@5 90.625 (87.713) Epoch: [85][20/10010] Time 0.319 (0.433) Data 0.001 (0.124) Loss 1.5239 (1.3651) Prec@1 64.844 (68.080) Prec@5 82.031 (86.682) Epoch: [85][30/10010] Time 0.316 (0.396) Data 0.001 (0.084) Loss 1.2220 (1.3703) Prec@1 71.875 (68.221) Prec@5 88.281 (86.265) Epoch: [85][40/10010] Time 0.318 (0.377) Data 0.000 (0.064) Loss 1.3777 (1.3765) Prec@1 64.844 (68.197) Prec@5 86.719 (86.147) Epoch: [85][50/10010] Time 0.334 (0.366) Data 0.001 (0.051) Loss 1.3691 (1.3892) Prec@1 71.094 (68.030) Prec@5 86.719 (86.198) Epoch: [85][60/10010] Time 0.315 (0.359) Data 0.001 (0.043) Loss 1.4972 (1.3884) Prec@1 62.500 (67.982) Prec@5 84.375 (86.245) Epoch: [85][70/10010] Time 0.322 (0.353) Data 0.001 (0.037) Loss 1.5382 (1.3872) Prec@1 63.281 (67.925) Prec@5 85.156 (86.400) Epoch: [85][80/10010] Time 0.328 (0.350) Data 0.000 (0.033) Loss 1.3454 (1.3741) Prec@1 69.531 (68.200) Prec@5 87.500 (86.680) Epoch: [85][90/10010] Time 0.326 (0.347) Data 0.001 (0.029) Loss 0.9242 (1.3717) Prec@1 75.781 (68.209) Prec@5 94.531 (86.616) Epoch: [85][100/10010] Time 0.334 (0.345) Data 0.001 (0.026) Loss 1.2821 (1.3681) Prec@1 71.094 (68.356) Prec@5 89.844 (86.703) Epoch: [85][110/10010] Time 0.339 (0.343) Data 0.001 (0.024) Loss 1.4838 (1.3674) Prec@1 67.969 (68.307) Prec@5 85.156 (86.733) Epoch: [85][120/10010] Time 0.323 (0.342) Data 0.000 (0.022) Loss 1.2131 (1.3581) Prec@1 72.656 (68.440) Prec@5 87.500 (86.887) Epoch: [85][130/10010] Time 0.337 (0.341) Data 0.001 (0.020) Loss 1.1079 (1.3587) Prec@1 73.438 (68.500) Prec@5 92.188 (86.916) Epoch: [85][140/10010] Time 0.326 (0.340) Data 0.001 (0.019) Loss 1.6047 (1.3595) Prec@1 62.500 (68.445) Prec@5 81.250 (86.974) Epoch: [85][150/10010] Time 0.335 (0.339) Data 0.001 (0.018) Loss 1.3240 (1.3540) Prec@1 70.312 (68.610) Prec@5 86.719 (87.029) Epoch: [85][160/10010] Time 0.319 (0.338) Data 0.000 (0.017) Loss 1.3658 (1.3498) Prec@1 68.750 (68.687) Prec@5 86.719 (87.034) Epoch: [85][170/10010] Time 0.338 (0.337) Data 0.000 (0.016) Loss 1.1509 (1.3451) Prec@1 65.625 (68.727) Prec@5 93.750 (87.112) Epoch: [85][180/10010] Time 0.324 (0.337) Data 0.001 (0.015) Loss 1.5059 (1.3491) Prec@1 65.625 (68.698) Prec@5 82.031 (87.017) Epoch: [85][190/10010] Time 0.324 (0.336) Data 0.001 (0.014) Loss 1.3614 (1.3541) Prec@1 71.094 (68.595) Prec@5 86.719 (86.956) Epoch: [85][200/10010] Time 0.326 (0.336) Data 0.001 (0.014) Loss 1.2339 (1.3502) Prec@1 70.312 (68.707) Prec@5 88.281 (87.037) Epoch: [85][210/10010] Time 0.322 (0.335) Data 0.001 (0.013) Loss 1.4063 (1.3524) Prec@1 67.188 (68.691) Prec@5 85.938 (86.967) Epoch: [85][220/10010] Time 0.336 (0.335) Data 0.000 (0.012) Loss 1.2553 (1.3495) Prec@1 70.312 (68.686) Prec@5 89.062 (87.016) Epoch: [85][230/10010] Time 0.322 (0.335) Data 0.001 (0.012) Loss 1.4376 (1.3469) Prec@1 67.188 (68.730) Prec@5 82.812 (87.033) Epoch: [85][240/10010] Time 0.329 (0.334) Data 0.000 (0.011) Loss 1.1840 (1.3468) Prec@1 71.094 (68.786) Prec@5 88.281 (87.014) Epoch: [85][250/10010] Time 0.313 (0.334) Data 0.000 (0.011) Loss 1.5143 (1.3439) Prec@1 63.281 (68.868) Prec@5 84.375 (87.049) Epoch: [85][260/10010] Time 0.339 (0.334) Data 0.001 (0.011) Loss 1.3742 (1.3430) Prec@1 67.188 (68.870) Prec@5 85.156 (87.090) Epoch: [85][270/10010] Time 0.329 (0.333) Data 0.001 (0.010) Loss 1.3544 (1.3440) Prec@1 67.969 (68.854) Prec@5 86.719 (87.094) Epoch: [85][280/10010] Time 0.336 (0.333) Data 0.000 (0.010) Loss 1.3613 (1.3459) Prec@1 66.406 (68.772) Prec@5 87.500 (87.064) Epoch: [85][290/10010] Time 0.320 (0.333) Data 0.001 (0.010) Loss 1.2582 (1.3457) Prec@1 65.625 (68.702) Prec@5 89.062 (87.052) Epoch: [85][300/10010] Time 0.331 (0.332) Data 0.001 (0.009) Loss 1.2894 (1.3445) Prec@1 75.000 (68.773) Prec@5 89.062 (87.054) Epoch: [85][310/10010] Time 0.320 (0.332) Data 0.000 (0.009) Loss 1.0428 (1.3413) Prec@1 73.438 (68.843) Prec@5 92.188 (87.098) Epoch: [85][320/10010] Time 0.321 (0.332) Data 0.001 (0.009) Loss 1.6708 (1.3411) Prec@1 65.625 (68.862) Prec@5 81.250 (87.081) Epoch: [85][330/10010] Time 0.329 (0.332) Data 0.001 (0.008) Loss 1.1438 (1.3385) Prec@1 72.656 (68.899) Prec@5 92.188 (87.137) Epoch: [85][340/10010] Time 0.319 (0.332) Data 0.001 (0.008) Loss 1.3771 (1.3402) Prec@1 70.312 (68.849) Prec@5 85.938 (87.136) Epoch: [85][350/10010] Time 0.334 (0.332) Data 0.001 (0.008) Loss 1.2829 (1.3375) Prec@1 72.656 (68.901) Prec@5 89.844 (87.182) Epoch: [85][360/10010] Time 0.325 (0.332) Data 0.000 (0.008) Loss 1.3582 (1.3365) Prec@1 67.188 (68.912) Prec@5 85.938 (87.175) Epoch: [85][370/10010] Time 0.317 (0.331) Data 0.001 (0.008) Loss 1.4724 (1.3387) Prec@1 67.188 (68.878) Prec@5 83.594 (87.161) Epoch: [85][380/10010] Time 0.313 (0.331) Data 0.001 (0.007) Loss 1.1615 (1.3377) Prec@1 72.656 (68.906) Prec@5 89.844 (87.176) Epoch: [85][390/10010] Time 0.320 (0.331) Data 0.001 (0.007) Loss 1.2335 (1.3395) Prec@1 73.438 (68.876) Prec@5 86.719 (87.166) Epoch: [85][400/10010] Time 0.319 (0.331) Data 0.001 (0.007) Loss 1.3270 (1.3393) Prec@1 75.000 (68.900) Prec@5 86.719 (87.142) Epoch: [85][410/10010] Time 0.343 (0.331) Data 0.000 (0.007) Loss 1.1982 (1.3357) Prec@1 73.438 (68.963) Prec@5 90.625 (87.207) Epoch: [85][420/10010] Time 0.335 (0.331) Data 0.001 (0.007) Loss 1.2694 (1.3358) Prec@1 66.406 (68.930) Prec@5 92.188 (87.229) Epoch: [85][430/10010] Time 0.317 (0.330) Data 0.001 (0.007) Loss 1.5037 (1.3364) Prec@1 63.281 (68.900) Prec@5 83.594 (87.210) Epoch: [85][440/10010] Time 0.321 (0.330) Data 0.000 (0.007) Loss 1.1955 (1.3350) Prec@1 74.219 (68.938) Prec@5 89.844 (87.227) Epoch: [85][450/10010] Time 0.321 (0.330) Data 0.001 (0.006) Loss 1.4630 (1.3356) Prec@1 64.844 (68.896) Prec@5 83.594 (87.231) Epoch: [85][460/10010] Time 0.320 (0.330) Data 0.000 (0.006) Loss 1.4989 (1.3358) Prec@1 67.969 (68.911) Prec@5 85.938 (87.249) Epoch: [85][470/10010] Time 0.321 (0.330) Data 0.000 (0.006) Loss 1.4680 (1.3372) Prec@1 67.188 (68.851) Prec@5 82.031 (87.216) Epoch: [85][480/10010] Time 0.329 (0.330) Data 0.000 (0.006) Loss 1.4285 (1.3370) Prec@1 66.406 (68.869) Prec@5 85.156 (87.219) Epoch: [85][490/10010] Time 0.330 (0.330) Data 0.000 (0.006) Loss 1.3924 (1.3392) Prec@1 65.625 (68.817) Prec@5 86.719 (87.177) Epoch: [85][500/10010] Time 0.341 (0.330) Data 0.000 (0.006) Loss 1.7103 (1.3413) Prec@1 61.719 (68.766) Prec@5 82.031 (87.171) Epoch: [85][510/10010] Time 0.336 (0.330) Data 0.001 (0.006) Loss 0.9785 (1.3410) Prec@1 78.125 (68.765) Prec@5 91.406 (87.165) Epoch: [85][520/10010] Time 0.325 (0.330) Data 0.001 (0.006) Loss 1.1572 (1.3407) Prec@1 67.188 (68.747) Prec@5 91.406 (87.193) Epoch: [85][530/10010] Time 0.317 (0.330) Data 0.001 (0.006) Loss 1.0990 (1.3401) Prec@1 72.656 (68.737) Prec@5 90.625 (87.206) Epoch: [85][540/10010] Time 0.323 (0.329) Data 0.001 (0.005) Loss 1.3593 (1.3406) Prec@1 71.094 (68.723) Prec@5 85.156 (87.190) Epoch: [85][550/10010] Time 0.317 (0.329) Data 0.001 (0.005) Loss 1.3070 (1.3410) Prec@1 71.875 (68.727) Prec@5 89.062 (87.168) Epoch: [85][560/10010] Time 0.326 (0.329) Data 0.000 (0.005) Loss 1.4108 (1.3412) Prec@1 67.188 (68.728) Prec@5 83.594 (87.150) Epoch: [85][570/10010] Time 0.327 (0.329) Data 0.001 (0.005) Loss 1.4267 (1.3410) Prec@1 68.750 (68.764) Prec@5 86.719 (87.158) Epoch: [85][580/10010] Time 0.333 (0.329) Data 0.001 (0.005) Loss 1.1644 (1.3415) Prec@1 74.219 (68.766) Prec@5 88.281 (87.148) Epoch: [85][590/10010] Time 0.335 (0.329) Data 0.001 (0.005) Loss 1.1829 (1.3423) Prec@1 73.438 (68.753) Prec@5 86.719 (87.140) Epoch: [85][600/10010] Time 0.339 (0.329) Data 0.001 (0.005) Loss 1.3169 (1.3431) Prec@1 71.875 (68.738) Prec@5 86.719 (87.152) Epoch: [85][610/10010] Time 0.313 (0.329) Data 0.000 (0.005) Loss 1.0889 (1.3416) Prec@1 69.531 (68.742) Prec@5 92.969 (87.184) Epoch: [85][620/10010] Time 0.334 (0.329) Data 0.000 (0.005) Loss 1.3727 (1.3411) Prec@1 65.625 (68.746) Prec@5 83.594 (87.179) Epoch: [85][630/10010] Time 0.337 (0.329) Data 0.001 (0.005) Loss 1.3008 (1.3419) Prec@1 67.969 (68.731) Prec@5 88.281 (87.173) Epoch: [85][640/10010] Time 0.334 (0.329) Data 0.001 (0.005) Loss 1.2890 (1.3417) Prec@1 70.312 (68.745) Prec@5 85.938 (87.177) Epoch: [85][650/10010] Time 0.313 (0.329) Data 0.001 (0.005) Loss 1.0476 (1.3407) Prec@1 71.875 (68.763) Prec@5 91.406 (87.200) Epoch: [85][660/10010] Time 0.314 (0.329) Data 0.001 (0.005) Loss 1.2852 (1.3407) Prec@1 75.781 (68.775) Prec@5 89.844 (87.207) Epoch: [85][670/10010] Time 0.334 (0.329) Data 0.001 (0.005) Loss 1.1716 (1.3415) Prec@1 70.312 (68.770) Prec@5 88.281 (87.187) Epoch: [85][680/10010] Time 0.326 (0.329) Data 0.001 (0.004) Loss 1.1380 (1.3406) Prec@1 75.781 (68.787) Prec@5 91.406 (87.199) /data/vision/torralba/deepscene/lib/anaconda2/lib/python2.7/site-packages/PIL/TiffImagePlugin.py:709: UserWarning: Corrupt EXIF data. Expecting to read 4 bytes but only got 0. warnings.warn(str(msg)) Epoch: [85][690/10010] Time 0.336 (0.329) Data 0.000 (0.004) Loss 1.2335 (1.3393) Prec@1 70.312 (68.805) Prec@5 88.281 (87.213) Epoch: [85][700/10010] Time 0.318 (0.329) Data 0.000 (0.004) Loss 1.1906 (1.3390) Prec@1 70.312 (68.811) Prec@5 87.500 (87.208) Epoch: [85][710/10010] Time 0.329 (0.329) Data 0.001 (0.004) Loss 1.3422 (1.3387) Prec@1 69.531 (68.803) Prec@5 87.500 (87.212) Epoch: [85][720/10010] Time 0.335 (0.329) Data 0.001 (0.004) Loss 1.2235 (1.3395) Prec@1 69.531 (68.785) Prec@5 88.281 (87.197) Epoch: [85][730/10010] Time 0.324 (0.329) Data 0.000 (0.004) Loss 1.4542 (1.3405) Prec@1 64.062 (68.772) Prec@5 86.719 (87.179) Epoch: [85][740/10010] Time 0.339 (0.329) Data 0.000 (0.004) Loss 1.2077 (1.3404) Prec@1 74.219 (68.787) Prec@5 87.500 (87.182) Epoch: [85][750/10010] Time 0.327 (0.329) Data 0.000 (0.004) Loss 1.2637 (1.3410) Prec@1 71.094 (68.771) Prec@5 85.156 (87.172) Epoch: [85][760/10010] Time 0.328 (0.329) Data 0.001 (0.004) Loss 1.4574 (1.3399) Prec@1 67.969 (68.774) Prec@5 85.156 (87.183) Epoch: [85][770/10010] Time 0.334 (0.329) Data 0.000 (0.004) Loss 1.0959 (1.3405) Prec@1 75.781 (68.753) Prec@5 92.969 (87.172) Epoch: [85][780/10010] Time 0.319 (0.329) Data 0.000 (0.004) Loss 1.4328 (1.3393) Prec@1 64.844 (68.791) Prec@5 83.594 (87.185) Epoch: [85][790/10010] Time 0.336 (0.329) Data 0.001 (0.004) Loss 1.5373 (1.3385) Prec@1 69.531 (68.807) Prec@5 86.719 (87.198) Epoch: [85][800/10010] Time 0.337 (0.329) Data 0.001 (0.004) Loss 1.1892 (1.3384) Prec@1 75.000 (68.815) Prec@5 91.406 (87.207) Epoch: [85][810/10010] Time 0.326 (0.329) Data 0.000 (0.004) Loss 1.1527 (1.3383) Prec@1 71.875 (68.800) Prec@5 89.844 (87.199) Epoch: [85][820/10010] Time 0.338 (0.329) Data 0.001 (0.004) Loss 1.6816 (1.3398) Prec@1 62.500 (68.769) Prec@5 82.812 (87.174) Epoch: [85][830/10010] Time 0.323 (0.329) Data 0.000 (0.004) Loss 1.5428 (1.3401) Prec@1 67.188 (68.775) Prec@5 83.594 (87.164) Epoch: [85][840/10010] Time 0.340 (0.329) Data 0.000 (0.004) Loss 1.5791 (1.3402) Prec@1 65.625 (68.775) Prec@5 84.375 (87.165) Epoch: [85][850/10010] Time 0.334 (0.329) Data 0.000 (0.004) Loss 1.1814 (1.3400) Prec@1 73.438 (68.787) Prec@5 89.844 (87.164) Epoch: [85][860/10010] Time 0.326 (0.329) Data 0.000 (0.004) Loss 1.4569 (1.3405) Prec@1 64.062 (68.789) Prec@5 89.844 (87.162) Epoch: [85][870/10010] Time 0.345 (0.330) Data 0.000 (0.004) Loss 1.2938 (1.3406) Prec@1 66.406 (68.807) Prec@5 86.719 (87.163) Epoch: [85][880/10010] Time 0.319 (0.330) Data 0.001 (0.004) Loss 1.6931 (1.3415) Prec@1 61.719 (68.789) Prec@5 78.125 (87.147) Epoch: [85][890/10010] Time 0.318 (0.329) Data 0.001 (0.004) Loss 1.6509 (1.3411) Prec@1 63.281 (68.787) Prec@5 78.125 (87.150) Epoch: [85][900/10010] Time 0.342 (0.329) Data 0.000 (0.004) Loss 1.4399 (1.3416) Prec@1 69.531 (68.781) Prec@5 84.375 (87.140) Epoch: [85][910/10010] Time 0.330 (0.329) Data 0.000 (0.003) Loss 1.4042 (1.3417) Prec@1 71.094 (68.782) Prec@5 87.500 (87.148) Epoch: [85][920/10010] Time 0.337 (0.329) Data 0.001 (0.003) Loss 1.4253 (1.3413) Prec@1 66.406 (68.803) Prec@5 84.375 (87.159) Epoch: [85][930/10010] Time 0.337 (0.329) Data 0.000 (0.003) Loss 1.1271 (1.3414) Prec@1 74.219 (68.801) Prec@5 89.844 (87.161) Epoch: [85][940/10010] Time 0.330 (0.330) Data 0.001 (0.003) Loss 1.6757 (1.3429) Prec@1 55.469 (68.772) Prec@5 81.250 (87.140) Epoch: [85][950/10010] Time 0.333 (0.329) Data 0.001 (0.003) Loss 1.4400 (1.3429) Prec@1 67.969 (68.753) Prec@5 84.375 (87.144) Epoch: [85][960/10010] Time 0.340 (0.330) Data 0.000 (0.003) Loss 1.6487 (1.3420) Prec@1 66.406 (68.767) Prec@5 82.031 (87.154) Epoch: [85][970/10010] Time 0.319 (0.330) Data 0.001 (0.003) Loss 1.1025 (1.3423) Prec@1 74.219 (68.767) Prec@5 88.281 (87.152) Epoch: [85][980/10010] Time 0.331 (0.329) Data 0.000 (0.003) Loss 1.4210 (1.3423) Prec@1 63.281 (68.763) Prec@5 86.719 (87.150) Epoch: [85][990/10010] Time 0.334 (0.330) Data 0.001 (0.003) Loss 1.2727 (1.3425) Prec@1 69.531 (68.756) Prec@5 89.062 (87.141) Epoch: [85][1000/10010] Time 0.336 (0.329) Data 0.001 (0.003) Loss 1.3064 (1.3428) Prec@1 70.312 (68.766) Prec@5 85.156 (87.134) Epoch: [85][1010/10010] Time 0.322 (0.330) Data 0.000 (0.003) Loss 1.4607 (1.3427) Prec@1 66.406 (68.765) Prec@5 84.375 (87.137) Epoch: [85][1020/10010] Time 0.325 (0.329) Data 0.001 (0.003) Loss 1.2674 (1.3422) Prec@1 72.656 (68.765) Prec@5 88.281 (87.143) Epoch: [85][1030/10010] Time 0.337 (0.329) Data 0.001 (0.003) Loss 1.0388 (1.3406) Prec@1 72.656 (68.795) Prec@5 91.406 (87.174) Epoch: [85][1040/10010] Time 0.342 (0.329) Data 0.000 (0.003) Loss 1.2254 (1.3404) Prec@1 73.438 (68.799) Prec@5 89.844 (87.177) Epoch: [85][1050/10010] Time 0.319 (0.329) Data 0.001 (0.003) Loss 1.2720 (1.3400) Prec@1 76.562 (68.812) Prec@5 88.281 (87.188) Epoch: [85][1060/10010] Time 0.341 (0.329) Data 0.001 (0.003) Loss 1.4195 (1.3395) Prec@1 70.312 (68.817) Prec@5 85.156 (87.203) Epoch: [85][1070/10010] Time 0.336 (0.329) Data 0.001 (0.003) Loss 1.6196 (1.3396) Prec@1 69.531 (68.813) Prec@5 79.688 (87.199) Epoch: [85][1080/10010] Time 0.315 (0.329) Data 0.001 (0.003) Loss 1.3127 (1.3395) Prec@1 74.219 (68.824) Prec@5 88.281 (87.197) Epoch: [85][1090/10010] Time 0.316 (0.329) Data 0.001 (0.003) Loss 1.1685 (1.3394) Prec@1 69.531 (68.817) Prec@5 87.500 (87.189) Epoch: [85][1100/10010] Time 0.330 (0.329) Data 0.000 (0.003) Loss 1.3719 (1.3399) Prec@1 69.531 (68.803) Prec@5 85.938 (87.181) Epoch: [85][1110/10010] Time 0.341 (0.329) Data 0.001 (0.003) Loss 1.2232 (1.3391) Prec@1 61.719 (68.801) Prec@5 88.281 (87.194) Epoch: [85][1120/10010] Time 0.317 (0.329) Data 0.001 (0.003) Loss 1.2931 (1.3391) Prec@1 67.969 (68.799) Prec@5 89.062 (87.197) Epoch: [85][1130/10010] Time 0.330 (0.329) Data 0.000 (0.003) Loss 1.2094 (1.3402) Prec@1 75.000 (68.781) Prec@5 85.938 (87.173) Epoch: [85][1140/10010] Time 0.318 (0.329) Data 0.001 (0.003) Loss 1.0824 (1.3403) Prec@1 75.781 (68.783) Prec@5 88.281 (87.168) Epoch: [85][1150/10010] Time 0.328 (0.329) Data 0.001 (0.003) Loss 1.3932 (1.3407) Prec@1 68.750 (68.769) Prec@5 84.375 (87.155) Epoch: [85][1160/10010] Time 0.325 (0.329) Data 0.001 (0.003) Loss 1.2530 (1.3406) Prec@1 67.188 (68.756) Prec@5 90.625 (87.160) Epoch: [85][1170/10010] Time 0.323 (0.329) Data 0.001 (0.003) Loss 1.5105 (1.3404) Prec@1 62.500 (68.765) Prec@5 85.156 (87.160) Epoch: [85][1180/10010] Time 0.338 (0.329) Data 0.001 (0.003) Loss 1.2647 (1.3394) Prec@1 66.406 (68.772) Prec@5 89.844 (87.176) Epoch: [85][1190/10010] Time 0.320 (0.329) Data 0.001 (0.003) Loss 1.4767 (1.3393) Prec@1 66.406 (68.771) Prec@5 83.594 (87.175) Epoch: [85][1200/10010] Time 0.339 (0.329) Data 0.000 (0.003) Loss 1.1850 (1.3400) Prec@1 72.656 (68.759) Prec@5 91.406 (87.161) Epoch: [85][1210/10010] Time 0.337 (0.329) Data 0.000 (0.003) Loss 1.4030 (1.3399) Prec@1 64.062 (68.753) Prec@5 85.156 (87.161) Epoch: [85][1220/10010] Time 0.314 (0.329) Data 0.000 (0.003) Loss 1.4795 (1.3398) Prec@1 65.625 (68.754) Prec@5 89.062 (87.160) Epoch: [85][1230/10010] Time 0.326 (0.329) Data 0.000 (0.003) Loss 1.2879 (1.3388) Prec@1 67.969 (68.780) Prec@5 85.156 (87.171) Epoch: [85][1240/10010] Time 0.332 (0.329) Data 0.001 (0.003) Loss 1.2860 (1.3385) Prec@1 69.531 (68.783) Prec@5 89.844 (87.181) Epoch: [85][1250/10010] Time 0.331 (0.329) Data 0.001 (0.003) Loss 1.2971 (1.3387) Prec@1 71.875 (68.785) Prec@5 88.281 (87.183) Epoch: [85][1260/10010] Time 0.327 (0.329) Data 0.001 (0.003) Loss 1.2812 (1.3389) Prec@1 66.406 (68.778) Prec@5 89.844 (87.173) Epoch: [85][1270/10010] Time 0.335 (0.329) Data 0.001 (0.003) Loss 1.2657 (1.3382) Prec@1 69.531 (68.799) Prec@5 89.844 (87.185) Epoch: [85][1280/10010] Time 0.321 (0.329) Data 0.001 (0.003) Loss 1.4255 (1.3386) Prec@1 67.969 (68.792) Prec@5 86.719 (87.182) Epoch: [85][1290/10010] Time 0.321 (0.329) Data 0.001 (0.003) Loss 1.2318 (1.3384) Prec@1 64.062 (68.784) Prec@5 91.406 (87.185) Epoch: [85][1300/10010] Time 0.328 (0.329) Data 0.000 (0.003) Loss 1.2750 (1.3379) Prec@1 62.500 (68.789) Prec@5 89.062 (87.192) Epoch: [85][1310/10010] Time 0.340 (0.329) Data 0.001 (0.003) Loss 1.2801 (1.3381) Prec@1 72.656 (68.773) Prec@5 85.156 (87.191) Epoch: [85][1320/10010] Time 0.336 (0.329) Data 0.001 (0.003) Loss 1.1289 (1.3380) Prec@1 68.750 (68.771) Prec@5 90.625 (87.193) Epoch: [85][1330/10010] Time 0.320 (0.329) Data 0.000 (0.003) Loss 1.3365 (1.3372) Prec@1 69.531 (68.791) Prec@5 86.719 (87.203) Epoch: [85][1340/10010] Time 0.339 (0.329) Data 0.000 (0.003) Loss 1.3756 (1.3374) Prec@1 69.531 (68.793) Prec@5 85.156 (87.199) Epoch: [85][1350/10010] Time 0.315 (0.329) Data 0.001 (0.003) Loss 1.1381 (1.3376) Prec@1 72.656 (68.788) Prec@5 90.625 (87.189) Epoch: [85][1360/10010] Time 0.337 (0.329) Data 0.001 (0.003) Loss 1.2718 (1.3374) Prec@1 71.094 (68.799) Prec@5 89.844 (87.192) Epoch: [85][1370/10010] Time 0.318 (0.329) Data 0.000 (0.003) Loss 1.4240 (1.3372) Prec@1 65.625 (68.802) Prec@5 85.938 (87.193) Epoch: [85][1380/10010] Time 0.325 (0.329) Data 0.001 (0.003) Loss 1.2364 (1.3364) Prec@1 68.750 (68.829) Prec@5 89.062 (87.201) Epoch: [85][1390/10010] Time 0.321 (0.329) Data 0.000 (0.002) Loss 1.4295 (1.3360) Prec@1 75.000 (68.843) Prec@5 85.938 (87.204) Epoch: [85][1400/10010] Time 0.344 (0.329) Data 0.000 (0.002) Loss 1.3531 (1.3360) Prec@1 68.750 (68.843) Prec@5 87.500 (87.203) Epoch: [85][1410/10010] Time 0.335 (0.329) Data 0.000 (0.002) Loss 1.2554 (1.3357) Prec@1 67.969 (68.839) Prec@5 87.500 (87.205) Epoch: [85][1420/10010] Time 0.323 (0.329) Data 0.001 (0.002) Loss 1.5348 (1.3360) Prec@1 63.281 (68.832) Prec@5 82.812 (87.195) Epoch: [85][1430/10010] Time 0.335 (0.329) Data 0.000 (0.002) Loss 1.1397 (1.3360) Prec@1 70.312 (68.834) Prec@5 91.406 (87.200) Epoch: [85][1440/10010] Time 0.335 (0.329) Data 0.001 (0.002) Loss 1.3897 (1.3368) Prec@1 68.750 (68.811) Prec@5 87.500 (87.195) Epoch: [85][1450/10010] Time 0.326 (0.329) Data 0.000 (0.002) Loss 1.3553 (1.3370) Prec@1 67.188 (68.812) Prec@5 89.062 (87.193) Epoch: [85][1460/10010] Time 0.330 (0.329) Data 0.001 (0.002) Loss 1.3212 (1.3373) Prec@1 75.000 (68.813) Prec@5 87.500 (87.192) Epoch: [85][1470/10010] Time 0.316 (0.329) Data 0.000 (0.002) Loss 1.3053 (1.3380) Prec@1 67.188 (68.806) Prec@5 87.500 (87.180) Epoch: [85][1480/10010] Time 0.325 (0.329) Data 0.001 (0.002) Loss 1.4009 (1.3378) Prec@1 65.625 (68.809) Prec@5 86.719 (87.181) Epoch: [85][1490/10010] Time 0.337 (0.329) Data 0.001 (0.002) Loss 1.4949 (1.3384) Prec@1 68.750 (68.799) Prec@5 83.594 (87.174) Epoch: [85][1500/10010] Time 0.309 (0.329) Data 0.001 (0.002) Loss 1.3472 (1.3382) Prec@1 63.281 (68.802) Prec@5 90.625 (87.175) Epoch: [85][1510/10010] Time 0.335 (0.329) Data 0.000 (0.002) Loss 1.2728 (1.3379) Prec@1 67.969 (68.809) Prec@5 87.500 (87.179) Epoch: [85][1520/10010] Time 0.329 (0.329) Data 0.001 (0.002) Loss 1.3922 (1.3383) Prec@1 67.188 (68.805) Prec@5 85.938 (87.177) Epoch: [85][1530/10010] Time 0.316 (0.329) Data 0.001 (0.002) Loss 1.0979 (1.3386) Prec@1 71.094 (68.796) Prec@5 90.625 (87.169) Epoch: [85][1540/10010] Time 0.337 (0.329) Data 0.001 (0.002) Loss 1.2816 (1.3387) Prec@1 71.094 (68.797) Prec@5 88.281 (87.166) Epoch: [85][1550/10010] Time 0.340 (0.329) Data 0.001 (0.002) Loss 1.2981 (1.3393) Prec@1 67.969 (68.787) Prec@5 86.719 (87.151) Epoch: [85][1560/10010] Time 0.336 (0.329) Data 0.001 (0.002) Loss 1.2762 (1.3394) Prec@1 67.188 (68.786) Prec@5 87.500 (87.158) Epoch: [85][1570/10010] Time 0.337 (0.329) Data 0.001 (0.002) Loss 1.1279 (1.3390) Prec@1 71.875 (68.790) Prec@5 91.406 (87.164) Epoch: [85][1580/10010] Time 0.319 (0.329) Data 0.001 (0.002) Loss 1.3810 (1.3391) Prec@1 64.844 (68.785) Prec@5 89.062 (87.160) Epoch: [85][1590/10010] Time 0.340 (0.329) Data 0.001 (0.002) Loss 1.6186 (1.3395) Prec@1 64.844 (68.786) Prec@5 85.938 (87.156) Epoch: [85][1600/10010] Time 0.314 (0.329) Data 0.001 (0.002) Loss 1.3676 (1.3392) Prec@1 66.406 (68.787) Prec@5 85.156 (87.168) Epoch: [85][1610/10010] Time 0.326 (0.329) Data 0.001 (0.002) Loss 1.1235 (1.3392) Prec@1 75.000 (68.791) Prec@5 88.281 (87.162) Epoch: [85][1620/10010] Time 0.313 (0.329) Data 0.001 (0.002) Loss 1.6909 (1.3393) Prec@1 57.812 (68.783) Prec@5 82.031 (87.163) Epoch: [85][1630/10010] Time 0.336 (0.329) Data 0.000 (0.002) Loss 1.2540 (1.3395) Prec@1 71.094 (68.775) Prec@5 87.500 (87.166) Epoch: [85][1640/10010] Time 0.339 (0.329) Data 0.000 (0.002) Loss 1.4839 (1.3397) Prec@1 67.188 (68.773) Prec@5 86.719 (87.162) Epoch: [85][1650/10010] Time 0.335 (0.329) Data 0.001 (0.002) Loss 1.5312 (1.3401) Prec@1 61.719 (68.765) Prec@5 84.375 (87.154) Epoch: [85][1660/10010] Time 0.313 (0.329) Data 0.001 (0.002) Loss 1.2041 (1.3397) Prec@1 71.094 (68.768) Prec@5 89.844 (87.163) Epoch: [85][1670/10010] Time 0.333 (0.329) Data 0.001 (0.002) Loss 1.3500 (1.3401) Prec@1 69.531 (68.763) Prec@5 82.812 (87.150) Epoch: [85][1680/10010] Time 0.339 (0.329) Data 0.000 (0.002) Loss 1.2634 (1.3396) Prec@1 67.188 (68.774) Prec@5 91.406 (87.158) Epoch: [85][1690/10010] Time 0.321 (0.329) Data 0.001 (0.002) Loss 1.2770 (1.3393) Prec@1 71.875 (68.784) Prec@5 89.844 (87.163) Epoch: [85][1700/10010] Time 0.325 (0.329) Data 0.000 (0.002) Loss 1.5366 (1.3390) Prec@1 64.062 (68.791) Prec@5 82.031 (87.167) Epoch: [85][1710/10010] Time 0.319 (0.329) Data 0.001 (0.002) Loss 1.2870 (1.3394) Prec@1 67.188 (68.780) Prec@5 90.625 (87.163) Epoch: [85][1720/10010] Time 0.320 (0.329) Data 0.001 (0.002) Loss 1.3408 (1.3397) Prec@1 68.750 (68.776) Prec@5 84.375 (87.160) Epoch: [85][1730/10010] Time 0.338 (0.329) Data 0.001 (0.002) Loss 1.2942 (1.3397) Prec@1 69.531 (68.780) Prec@5 86.719 (87.154) Epoch: [85][1740/10010] Time 0.332 (0.329) Data 0.001 (0.002) Loss 1.2700 (1.3396) Prec@1 68.750 (68.781) Prec@5 87.500 (87.154) Epoch: [85][1750/10010] Time 0.342 (0.329) Data 0.001 (0.002) Loss 1.3470 (1.3398) Prec@1 72.656 (68.774) Prec@5 85.156 (87.146) Epoch: [85][1760/10010] Time 0.337 (0.329) Data 0.001 (0.002) Loss 1.3120 (1.3397) Prec@1 67.969 (68.776) Prec@5 85.938 (87.145) Epoch: [85][1770/10010] Time 0.320 (0.329) Data 0.000 (0.002) Loss 1.2674 (1.3399) Prec@1 65.625 (68.774) Prec@5 88.281 (87.145) Epoch: [85][1780/10010] Time 0.312 (0.329) Data 0.001 (0.002) Loss 1.3328 (1.3401) Prec@1 65.625 (68.768) Prec@5 89.844 (87.142) Epoch: [85][1790/10010] Time 0.321 (0.329) Data 0.001 (0.002) Loss 1.3119 (1.3402) Prec@1 68.750 (68.768) Prec@5 86.719 (87.141) Epoch: [85][1800/10010] Time 0.313 (0.329) Data 0.001 (0.002) Loss 1.1423 (1.3405) Prec@1 74.219 (68.762) Prec@5 88.281 (87.140) Epoch: [85][1810/10010] Time 0.332 (0.329) Data 0.000 (0.002) Loss 1.6678 (1.3406) Prec@1 60.938 (68.765) Prec@5 84.375 (87.136) Epoch: [85][1820/10010] Time 0.329 (0.329) Data 0.001 (0.002) Loss 1.1223 (1.3400) Prec@1 73.438 (68.778) Prec@5 85.938 (87.147) Epoch: [85][1830/10010] Time 0.322 (0.329) Data 0.000 (0.002) Loss 1.2011 (1.3401) Prec@1 71.094 (68.781) Prec@5 90.625 (87.142) Epoch: [85][1840/10010] Time 0.317 (0.329) Data 0.001 (0.002) Loss 1.2924 (1.3404) Prec@1 68.750 (68.777) Prec@5 89.844 (87.133) Epoch: [85][1850/10010] Time 0.334 (0.329) Data 0.001 (0.002) Loss 1.5744 (1.3406) Prec@1 62.500 (68.769) Prec@5 84.375 (87.127) Epoch: [85][1860/10010] Time 0.338 (0.329) Data 0.001 (0.002) Loss 1.3974 (1.3402) Prec@1 64.844 (68.771) Prec@5 87.500 (87.131) Epoch: [85][1870/10010] Time 0.319 (0.329) Data 0.000 (0.002) Loss 1.0081 (1.3396) Prec@1 75.781 (68.783) Prec@5 92.188 (87.139) Epoch: [85][1880/10010] Time 0.333 (0.329) Data 0.001 (0.002) Loss 1.2519 (1.3396) Prec@1 66.406 (68.786) Prec@5 90.625 (87.142) Epoch: [85][1890/10010] Time 0.336 (0.329) Data 0.001 (0.002) Loss 1.2843 (1.3392) Prec@1 69.531 (68.798) Prec@5 89.844 (87.150) Epoch: [85][1900/10010] Time 0.334 (0.329) Data 0.001 (0.002) Loss 1.2734 (1.3396) Prec@1 67.188 (68.789) Prec@5 88.281 (87.145) Epoch: [85][1910/10010] Time 0.332 (0.329) Data 0.000 (0.002) Loss 1.5671 (1.3398) Prec@1 60.938 (68.785) Prec@5 83.594 (87.143) Epoch: [85][1920/10010] Time 0.327 (0.329) Data 0.001 (0.002) Loss 1.1826 (1.3394) Prec@1 71.094 (68.789) Prec@5 89.844 (87.151) Epoch: [85][1930/10010] Time 0.329 (0.329) Data 0.001 (0.002) Loss 1.2331 (1.3392) Prec@1 70.312 (68.796) Prec@5 89.844 (87.154) Epoch: [85][1940/10010] Time 0.341 (0.329) Data 0.001 (0.002) Loss 1.4604 (1.3391) Prec@1 67.188 (68.800) Prec@5 85.156 (87.156) Epoch: [85][1950/10010] Time 0.315 (0.329) Data 0.000 (0.002) Loss 1.0709 (1.3389) Prec@1 73.438 (68.798) Prec@5 89.844 (87.153) Epoch: [85][1960/10010] Time 0.335 (0.329) Data 0.001 (0.002) Loss 1.1671 (1.3386) Prec@1 75.781 (68.799) Prec@5 85.938 (87.152) Epoch: [85][1970/10010] Time 0.338 (0.329) Data 0.001 (0.002) Loss 1.2370 (1.3383) Prec@1 71.094 (68.800) Prec@5 88.281 (87.158) Epoch: [85][1980/10010] Time 0.316 (0.329) Data 0.000 (0.002) Loss 1.3924 (1.3383) Prec@1 70.312 (68.810) Prec@5 85.156 (87.158) Epoch: [85][1990/10010] Time 0.335 (0.329) Data 0.001 (0.002) Loss 1.0820 (1.3384) Prec@1 76.562 (68.810) Prec@5 89.844 (87.157) Epoch: [85][2000/10010] Time 0.318 (0.329) Data 0.001 (0.002) Loss 1.3200 (1.3383) Prec@1 67.969 (68.806) Prec@5 87.500 (87.156) Epoch: [85][2010/10010] Time 0.338 (0.329) Data 0.000 (0.002) Loss 1.3949 (1.3383) Prec@1 64.062 (68.811) Prec@5 86.719 (87.155) Epoch: [85][2020/10010] Time 0.320 (0.329) Data 0.001 (0.002) Loss 1.1421 (1.3384) Prec@1 69.531 (68.804) Prec@5 89.844 (87.154) Epoch: [85][2030/10010] Time 0.342 (0.329) Data 0.001 (0.002) Loss 1.3202 (1.3384) Prec@1 71.094 (68.808) Prec@5 86.719 (87.152) Epoch: [85][2040/10010] Time 0.325 (0.329) Data 0.001 (0.002) Loss 1.3731 (1.3386) Prec@1 65.625 (68.805) Prec@5 86.719 (87.149) Epoch: [85][2050/10010] Time 0.335 (0.329) Data 0.001 (0.002) Loss 1.1430 (1.3382) Prec@1 76.562 (68.816) Prec@5 89.844 (87.154) Epoch: [85][2060/10010] Time 0.314 (0.329) Data 0.001 (0.002) Loss 1.5837 (1.3388) Prec@1 59.375 (68.807) Prec@5 86.719 (87.146) Epoch: [85][2070/10010] Time 0.317 (0.329) Data 0.001 (0.002) Loss 1.3897 (1.3391) Prec@1 72.656 (68.799) Prec@5 85.938 (87.145) Epoch: [85][2080/10010] Time 0.321 (0.329) Data 0.001 (0.002) Loss 1.2023 (1.3388) Prec@1 72.656 (68.808) Prec@5 86.719 (87.149) Epoch: [85][2090/10010] Time 0.333 (0.329) Data 0.001 (0.002) Loss 1.5416 (1.3393) Prec@1 60.938 (68.798) Prec@5 82.812 (87.138) Epoch: [85][2100/10010] Time 0.326 (0.329) Data 0.001 (0.002) Loss 1.7608 (1.3394) Prec@1 57.812 (68.798) Prec@5 84.375 (87.137) Epoch: [85][2110/10010] Time 0.340 (0.329) Data 0.001 (0.002) Loss 1.5949 (1.3398) Prec@1 67.969 (68.796) Prec@5 83.594 (87.135) Epoch: [85][2120/10010] Time 0.324 (0.329) Data 0.001 (0.002) Loss 1.2940 (1.3397) Prec@1 67.969 (68.796) Prec@5 89.062 (87.135) /data/vision/torralba/deepscene/lib/anaconda2/lib/python2.7/site-packages/PIL/TiffImagePlugin.py:692: UserWarning: Possibly corrupt EXIF data. Expecting to read 1835008 bytes but only got 0. Skipping tag 0 "Skipping tag %s" % (size, len(data), tag)) Epoch: [85][2130/10010] Time 0.320 (0.329) Data 0.001 (0.002) Loss 1.5145 (1.3402) Prec@1 67.188 (68.791) Prec@5 84.375 (87.128) Epoch: [85][2140/10010] Time 0.318 (0.329) Data 0.001 (0.002) Loss 1.2642 (1.3406) Prec@1 67.969 (68.780) Prec@5 91.406 (87.124) Epoch: [85][2150/10010] Time 0.326 (0.329) Data 0.000 (0.002) Loss 1.2795 (1.3404) Prec@1 76.562 (68.785) Prec@5 87.500 (87.126) Epoch: [85][2160/10010] Time 0.328 (0.329) Data 0.001 (0.002) Loss 1.3202 (1.3406) Prec@1 63.281 (68.778) Prec@5 89.844 (87.127) Epoch: [85][2170/10010] Time 0.324 (0.329) Data 0.001 (0.002) Loss 1.3236 (1.3405) Prec@1 71.094 (68.777) Prec@5 86.719 (87.131) Epoch: [85][2180/10010] Time 0.324 (0.329) Data 0.000 (0.002) Loss 1.5844 (1.3406) Prec@1 61.719 (68.774) Prec@5 85.156 (87.130) Epoch: [85][2190/10010] Time 0.320 (0.328) Data 0.000 (0.002) Loss 1.3233 (1.3408) Prec@1 74.219 (68.774) Prec@5 85.938 (87.129) Epoch: [85][2200/10010] Time 0.341 (0.328) Data 0.001 (0.002) Loss 1.5246 (1.3409) Prec@1 70.312 (68.779) Prec@5 84.375 (87.126) Epoch: [85][2210/10010] Time 0.319 (0.328) Data 0.001 (0.002) Loss 1.3917 (1.3409) Prec@1 67.969 (68.785) Prec@5 82.812 (87.127) Epoch: [85][2220/10010] Time 0.321 (0.328) Data 0.001 (0.002) Loss 1.4693 (1.3412) Prec@1 64.844 (68.773) Prec@5 81.250 (87.120) Epoch: [85][2230/10010] Time 0.335 (0.328) Data 0.001 (0.002) Loss 1.3382 (1.3412) Prec@1 69.531 (68.777) Prec@5 87.500 (87.118) Epoch: [85][2240/10010] Time 0.331 (0.328) Data 0.001 (0.002) Loss 1.4125 (1.3414) Prec@1 67.188 (68.772) Prec@5 85.938 (87.116) Epoch: [85][2250/10010] Time 0.316 (0.328) Data 0.001 (0.002) Loss 1.3989 (1.3414) Prec@1 66.406 (68.773) Prec@5 86.719 (87.115) Epoch: [85][2260/10010] Time 0.327 (0.328) Data 0.001 (0.002) Loss 1.0706 (1.3415) Prec@1 75.000 (68.771) Prec@5 90.625 (87.116) Epoch: [85][2270/10010] Time 0.334 (0.328) Data 0.001 (0.002) Loss 1.3398 (1.3416) Prec@1 71.094 (68.775) Prec@5 89.844 (87.112) Epoch: [85][2280/10010] Time 0.329 (0.328) Data 0.000 (0.002) Loss 1.5441 (1.3418) Prec@1 65.625 (68.770) Prec@5 88.281 (87.109) Epoch: [85][2290/10010] Time 0.327 (0.328) Data 0.001 (0.002) Loss 1.4862 (1.3416) Prec@1 63.281 (68.770) Prec@5 82.031 (87.111) Epoch: [85][2300/10010] Time 0.323 (0.328) Data 0.000 (0.002) Loss 1.2441 (1.3417) Prec@1 68.750 (68.769) Prec@5 87.500 (87.105) Epoch: [85][2310/10010] Time 0.330 (0.328) Data 0.000 (0.002) Loss 1.4446 (1.3418) Prec@1 67.188 (68.764) Prec@5 86.719 (87.104) Epoch: [85][2320/10010] Time 0.341 (0.328) Data 0.001 (0.002) Loss 1.2255 (1.3418) Prec@1 69.531 (68.763) Prec@5 88.281 (87.102) Epoch: [85][2330/10010] Time 0.334 (0.328) Data 0.001 (0.002) Loss 1.2234 (1.3417) Prec@1 73.438 (68.764) Prec@5 86.719 (87.103) Epoch: [85][2340/10010] Time 0.320 (0.328) Data 0.001 (0.002) Loss 1.4114 (1.3419) Prec@1 68.750 (68.764) Prec@5 86.719 (87.101) Epoch: [85][2350/10010] Time 0.332 (0.328) Data 0.001 (0.002) Loss 1.2764 (1.3421) Prec@1 72.656 (68.759) Prec@5 88.281 (87.100) Epoch: [85][2360/10010] Time 0.338 (0.328) Data 0.000 (0.002) Loss 1.3366 (1.3423) Prec@1 62.500 (68.748) Prec@5 85.938 (87.097) Epoch: [85][2370/10010] Time 0.323 (0.328) Data 0.001 (0.002) Loss 1.2499 (1.3422) Prec@1 67.969 (68.748) Prec@5 87.500 (87.098) Epoch: [85][2380/10010] Time 0.318 (0.328) Data 0.001 (0.002) Loss 1.4177 (1.3424) Prec@1 65.625 (68.743) Prec@5 85.156 (87.092) Epoch: [85][2390/10010] Time 0.313 (0.328) Data 0.001 (0.002) Loss 1.2593 (1.3422) Prec@1 71.094 (68.740) Prec@5 84.375 (87.096) Epoch: [85][2400/10010] Time 0.340 (0.328) Data 0.000 (0.002) Loss 1.4344 (1.3428) Prec@1 70.312 (68.729) Prec@5 85.938 (87.090) Epoch: [85][2410/10010] Time 0.325 (0.328) Data 0.001 (0.002) Loss 1.5045 (1.3431) Prec@1 64.844 (68.725) Prec@5 85.938 (87.087) Epoch: [85][2420/10010] Time 0.321 (0.328) Data 0.001 (0.002) Loss 1.2022 (1.3428) Prec@1 73.438 (68.730) Prec@5 87.500 (87.086) Epoch: [85][2430/10010] Time 0.333 (0.328) Data 0.000 (0.002) Loss 1.2299 (1.3427) Prec@1 70.312 (68.731) Prec@5 91.406 (87.086) Epoch: [85][2440/10010] Time 0.318 (0.328) Data 0.001 (0.002) Loss 1.4228 (1.3430) Prec@1 63.281 (68.725) Prec@5 85.938 (87.078) Epoch: [85][2450/10010] Time 0.317 (0.328) Data 0.001 (0.002) Loss 1.2903 (1.3431) Prec@1 72.656 (68.725) Prec@5 83.594 (87.072) Epoch: [85][2460/10010] Time 0.324 (0.328) Data 0.001 (0.002) Loss 1.2007 (1.3432) Prec@1 71.875 (68.727) Prec@5 88.281 (87.065) Epoch: [85][2470/10010] Time 0.330 (0.328) Data 0.001 (0.002) Loss 1.1874 (1.3431) Prec@1 71.094 (68.727) Prec@5 89.844 (87.071) Epoch: [85][2480/10010] Time 0.338 (0.328) Data 0.001 (0.002) Loss 1.1130 (1.3429) Prec@1 73.438 (68.734) Prec@5 91.406 (87.073) Epoch: [85][2490/10010] Time 0.329 (0.328) Data 0.001 (0.002) Loss 1.2542 (1.3426) Prec@1 66.406 (68.740) Prec@5 88.281 (87.079) Epoch: [85][2500/10010] Time 0.336 (0.328) Data 0.000 (0.002) Loss 1.1205 (1.3425) Prec@1 72.656 (68.741) Prec@5 89.844 (87.080) Epoch: [85][2510/10010] Time 0.337 (0.328) Data 0.000 (0.002) Loss 1.2278 (1.3425) Prec@1 72.656 (68.737) Prec@5 89.844 (87.081) Epoch: [85][2520/10010] Time 0.339 (0.328) Data 0.004 (0.002) Loss 1.3362 (1.3427) Prec@1 68.750 (68.732) Prec@5 86.719 (87.081) Epoch: [85][2530/10010] Time 0.314 (0.328) Data 0.001 (0.002) Loss 1.4358 (1.3425) Prec@1 64.062 (68.739) Prec@5 87.500 (87.081) Epoch: [85][2540/10010] Time 0.335 (0.328) Data 0.001 (0.002) Loss 1.5149 (1.3428) Prec@1 66.406 (68.729) Prec@5 81.250 (87.072) Epoch: [85][2550/10010] Time 0.339 (0.328) Data 0.001 (0.002) Loss 1.6761 (1.3429) Prec@1 62.500 (68.724) Prec@5 83.594 (87.069) Epoch: [85][2560/10010] Time 0.318 (0.328) Data 0.001 (0.002) Loss 1.4500 (1.3428) Prec@1 67.188 (68.724) Prec@5 81.250 (87.067) Epoch: [85][2570/10010] Time 0.305 (0.328) Data 0.001 (0.002) Loss 1.2608 (1.3427) Prec@1 72.656 (68.726) Prec@5 88.281 (87.068) Epoch: [85][2580/10010] Time 0.336 (0.328) Data 0.001 (0.002) Loss 1.0525 (1.3425) Prec@1 73.438 (68.728) Prec@5 93.750 (87.076) Epoch: [85][2590/10010] Time 0.322 (0.328) Data 0.000 (0.002) Loss 1.3610 (1.3424) Prec@1 67.188 (68.727) Prec@5 87.500 (87.076) Epoch: [85][2600/10010] Time 0.336 (0.328) Data 0.001 (0.002) Loss 1.2904 (1.3423) Prec@1 72.656 (68.733) Prec@5 86.719 (87.076) Epoch: [85][2610/10010] Time 0.321 (0.328) Data 0.000 (0.002) Loss 1.2082 (1.3424) Prec@1 71.094 (68.730) Prec@5 88.281 (87.074) Epoch: [85][2620/10010] Time 0.319 (0.328) Data 0.000 (0.002) Loss 1.3769 (1.3423) Prec@1 64.062 (68.737) Prec@5 88.281 (87.075) Epoch: [85][2630/10010] Time 0.341 (0.328) Data 0.000 (0.002) Loss 1.1414 (1.3420) Prec@1 78.125 (68.744) Prec@5 89.844 (87.077) Epoch: [85][2640/10010] Time 0.344 (0.328) Data 0.001 (0.002) Loss 1.2763 (1.3421) Prec@1 66.406 (68.744) Prec@5 86.719 (87.080) Epoch: [85][2650/10010] Time 0.320 (0.328) Data 0.001 (0.002) Loss 1.2736 (1.3421) Prec@1 70.312 (68.749) Prec@5 89.844 (87.080) Epoch: [85][2660/10010] Time 0.334 (0.328) Data 0.001 (0.002) Loss 1.3093 (1.3423) Prec@1 71.875 (68.749) Prec@5 87.500 (87.078) Epoch: [85][2670/10010] Time 0.309 (0.328) Data 0.001 (0.002) Loss 1.3695 (1.3422) Prec@1 69.531 (68.753) Prec@5 86.719 (87.077) Epoch: [85][2680/10010] Time 0.335 (0.328) Data 0.001 (0.002) Loss 1.3931 (1.3421) Prec@1 70.312 (68.750) Prec@5 87.500 (87.079) Epoch: [85][2690/10010] Time 0.331 (0.328) Data 0.001 (0.002) Loss 1.0892 (1.3419) Prec@1 77.344 (68.754) Prec@5 92.188 (87.082) Epoch: [85][2700/10010] Time 0.337 (0.328) Data 0.001 (0.002) Loss 1.1414 (1.3417) Prec@1 75.000 (68.758) Prec@5 89.844 (87.085) Epoch: [85][2710/10010] Time 0.322 (0.328) Data 0.001 (0.002) Loss 1.1110 (1.3414) Prec@1 71.094 (68.766) Prec@5 89.844 (87.088) Epoch: [85][2720/10010] Time 0.323 (0.328) Data 0.001 (0.002) Loss 1.2600 (1.3412) Prec@1 74.219 (68.772) Prec@5 89.844 (87.089) Epoch: [85][2730/10010] Time 0.336 (0.328) Data 0.001 (0.002) Loss 1.8652 (1.3416) Prec@1 60.156 (68.767) Prec@5 78.125 (87.084) Epoch: [85][2740/10010] Time 0.315 (0.328) Data 0.001 (0.002) Loss 1.1511 (1.3413) Prec@1 73.438 (68.775) Prec@5 89.062 (87.092) Epoch: [85][2750/10010] Time 0.339 (0.328) Data 0.001 (0.002) Loss 1.2541 (1.3415) Prec@1 69.531 (68.769) Prec@5 85.156 (87.088) Epoch: [85][2760/10010] Time 0.344 (0.328) Data 0.001 (0.002) Loss 1.4302 (1.3413) Prec@1 64.844 (68.774) Prec@5 83.594 (87.088) Epoch: [85][2770/10010] Time 0.313 (0.328) Data 0.001 (0.002) Loss 1.2825 (1.3414) Prec@1 71.094 (68.770) Prec@5 87.500 (87.089) Epoch: [85][2780/10010] Time 0.319 (0.328) Data 0.000 (0.002) Loss 1.2241 (1.3410) Prec@1 72.656 (68.778) Prec@5 88.281 (87.093) Epoch: [85][2790/10010] Time 0.324 (0.328) Data 0.001 (0.002) Loss 1.4277 (1.3410) Prec@1 63.281 (68.779) Prec@5 87.500 (87.094) Epoch: [85][2800/10010] Time 0.325 (0.328) Data 0.000 (0.002) Loss 1.5547 (1.3413) Prec@1 67.969 (68.771) Prec@5 85.938 (87.093) Epoch: [85][2810/10010] Time 0.323 (0.328) Data 0.000 (0.002) Loss 1.2719 (1.3414) Prec@1 74.219 (68.772) Prec@5 83.594 (87.088) Epoch: [85][2820/10010] Time 0.319 (0.328) Data 0.000 (0.002) Loss 1.3405 (1.3414) Prec@1 66.406 (68.769) Prec@5 89.062 (87.088) Epoch: [85][2830/10010] Time 0.320 (0.328) Data 0.001 (0.002) Loss 1.3719 (1.3415) Prec@1 65.625 (68.761) Prec@5 87.500 (87.087) Epoch: [85][2840/10010] Time 0.319 (0.328) Data 0.001 (0.002) Loss 1.3177 (1.3417) Prec@1 71.094 (68.757) Prec@5 87.500 (87.083) Epoch: [85][2850/10010] Time 0.338 (0.328) Data 0.001 (0.002) Loss 1.2705 (1.3418) Prec@1 70.312 (68.754) Prec@5 85.156 (87.083) Epoch: [85][2860/10010] Time 0.342 (0.328) Data 0.000 (0.002) Loss 1.6497 (1.3419) Prec@1 60.156 (68.752) Prec@5 85.156 (87.084) Epoch: [85][2870/10010] Time 0.323 (0.328) Data 0.001 (0.002) Loss 1.3752 (1.3420) Prec@1 67.188 (68.754) Prec@5 85.156 (87.082) Epoch: [85][2880/10010] Time 0.340 (0.328) Data 0.001 (0.002) Loss 1.0862 (1.3420) Prec@1 71.875 (68.751) Prec@5 92.969 (87.085) Epoch: [85][2890/10010] Time 0.328 (0.328) Data 0.001 (0.002) Loss 1.5337 (1.3422) Prec@1 64.062 (68.749) Prec@5 83.594 (87.083) Epoch: [85][2900/10010] Time 0.320 (0.328) Data 0.001 (0.002) Loss 1.0589 (1.3421) Prec@1 77.344 (68.750) Prec@5 89.844 (87.084) Epoch: [85][2910/10010] Time 0.315 (0.328) Data 0.001 (0.002) Loss 1.1993 (1.3420) Prec@1 71.875 (68.752) Prec@5 89.844 (87.086) Epoch: [85][2920/10010] Time 0.335 (0.328) Data 0.001 (0.002) Loss 1.2316 (1.3421) Prec@1 69.531 (68.747) Prec@5 87.500 (87.087) Epoch: [85][2930/10010] Time 0.317 (0.328) Data 0.001 (0.002) Loss 1.7184 (1.3420) Prec@1 64.844 (68.745) Prec@5 81.250 (87.088) Epoch: [85][2940/10010] Time 0.331 (0.328) Data 0.001 (0.002) Loss 1.1807 (1.3421) Prec@1 69.531 (68.741) Prec@5 91.406 (87.089) /data/vision/torralba/deepscene/lib/anaconda2/lib/python2.7/site-packages/PIL/TiffImagePlugin.py:692: UserWarning: Possibly corrupt EXIF data. Expecting to read 2555904 bytes but only got 0. Skipping tag 0 "Skipping tag %s" % (size, len(data), tag)) Epoch: [85][2950/10010] Time 0.318 (0.328) Data 0.001 (0.002) Loss 1.2037 (1.3421) Prec@1 76.562 (68.747) Prec@5 89.844 (87.090) Epoch: [85][2960/10010] Time 0.335 (0.328) Data 0.000 (0.002) Loss 1.6090 (1.3419) Prec@1 67.969 (68.752) Prec@5 86.719 (87.090) Epoch: [85][2970/10010] Time 0.325 (0.328) Data 0.001 (0.002) Loss 1.3406 (1.3422) Prec@1 70.312 (68.748) Prec@5 85.938 (87.086) Epoch: [85][2980/10010] Time 0.311 (0.328) Data 0.001 (0.002) Loss 1.4850 (1.3422) Prec@1 66.406 (68.753) Prec@5 85.938 (87.086) Epoch: [85][2990/10010] Time 0.320 (0.328) Data 0.001 (0.002) Loss 1.2941 (1.3422) Prec@1 71.875 (68.749) Prec@5 89.062 (87.088) Epoch: [85][3000/10010] Time 0.312 (0.328) Data 0.000 (0.002) Loss 1.1450 (1.3422) Prec@1 71.094 (68.749) Prec@5 89.844 (87.087) Epoch: [85][3010/10010] Time 0.338 (0.328) Data 0.001 (0.002) Loss 1.2780 (1.3421) Prec@1 68.750 (68.749) Prec@5 84.375 (87.089) Epoch: [85][3020/10010] Time 0.324 (0.328) Data 0.000 (0.002) Loss 1.3914 (1.3419) Prec@1 64.062 (68.752) Prec@5 89.062 (87.091) Epoch: [85][3030/10010] Time 0.312 (0.328) Data 0.001 (0.002) Loss 1.2435 (1.3422) Prec@1 69.531 (68.749) Prec@5 85.938 (87.088) Epoch: [85][3040/10010] Time 0.318 (0.328) Data 0.001 (0.002) Loss 1.3767 (1.3422) Prec@1 67.969 (68.748) Prec@5 83.594 (87.087) Epoch: [85][3050/10010] Time 0.344 (0.328) Data 0.000 (0.002) Loss 1.3845 (1.3425) Prec@1 64.844 (68.742) Prec@5 85.156 (87.081) Epoch: [85][3060/10010] Time 0.322 (0.328) Data 0.000 (0.002) Loss 1.5566 (1.3429) Prec@1 64.844 (68.734) Prec@5 81.250 (87.074) Epoch: [85][3070/10010] Time 0.321 (0.328) Data 0.000 (0.001) Loss 1.2486 (1.3429) Prec@1 71.094 (68.737) Prec@5 85.156 (87.072) Epoch: [85][3080/10010] Time 0.339 (0.328) Data 0.001 (0.001) Loss 1.8537 (1.3428) Prec@1 58.594 (68.742) Prec@5 79.688 (87.072) Epoch: [85][3090/10010] Time 0.316 (0.328) Data 0.000 (0.001) Loss 1.5009 (1.3428) Prec@1 63.281 (68.741) Prec@5 88.281 (87.076) Epoch: [85][3100/10010] Time 0.339 (0.328) Data 0.000 (0.001) Loss 1.2997 (1.3429) Prec@1 73.438 (68.742) Prec@5 89.062 (87.074) Epoch: [85][3110/10010] Time 0.325 (0.328) Data 0.000 (0.001) Loss 1.3111 (1.3429) Prec@1 66.406 (68.740) Prec@5 87.500 (87.077) Epoch: [85][3120/10010] Time 0.332 (0.328) Data 0.001 (0.001) Loss 1.1189 (1.3427) Prec@1 74.219 (68.749) Prec@5 89.844 (87.081) Epoch: [85][3130/10010] Time 0.322 (0.328) Data 0.000 (0.001) Loss 1.2711 (1.3428) Prec@1 69.531 (68.744) Prec@5 88.281 (87.079) Epoch: [85][3140/10010] Time 0.316 (0.328) Data 0.000 (0.001) Loss 1.3340 (1.3428) Prec@1 65.625 (68.742) Prec@5 88.281 (87.079) Epoch: [85][3150/10010] Time 0.327 (0.328) Data 0.001 (0.001) Loss 1.3522 (1.3429) Prec@1 72.656 (68.736) Prec@5 85.938 (87.078) Epoch: [85][3160/10010] Time 0.319 (0.328) Data 0.000 (0.001) Loss 1.5601 (1.3432) Prec@1 68.750 (68.729) Prec@5 83.594 (87.074) Epoch: [85][3170/10010] Time 0.320 (0.328) Data 0.001 (0.001) Loss 1.4681 (1.3432) Prec@1 64.844 (68.724) Prec@5 88.281 (87.077) Epoch: [85][3180/10010] Time 0.319 (0.328) Data 0.001 (0.001) Loss 1.4619 (1.3429) Prec@1 63.281 (68.729) Prec@5 83.594 (87.080) Epoch: [85][3190/10010] Time 0.325 (0.328) Data 0.001 (0.001) Loss 1.4762 (1.3431) Prec@1 64.062 (68.723) Prec@5 85.938 (87.075) Epoch: [85][3200/10010] Time 0.321 (0.328) Data 0.001 (0.001) Loss 1.6220 (1.3430) Prec@1 63.281 (68.726) Prec@5 82.031 (87.074) Epoch: [85][3210/10010] Time 0.337 (0.328) Data 0.000 (0.001) Loss 1.3274 (1.3430) Prec@1 71.094 (68.728) Prec@5 89.062 (87.075) /data/vision/torralba/deepscene/lib/anaconda2/lib/python2.7/site-packages/PIL/TiffImagePlugin.py:692: UserWarning: Possibly corrupt EXIF data. Expecting to read 2555904 bytes but only got 0. Skipping tag 0 "Skipping tag %s" % (size, len(data), tag)) Epoch: [85][3220/10010] Time 0.336 (0.328) Data 0.001 (0.001) Loss 1.4229 (1.3429) Prec@1 66.406 (68.726) Prec@5 87.500 (87.078) Epoch: [85][3230/10010] Time 0.313 (0.328) Data 0.001 (0.001) Loss 1.6317 (1.3433) Prec@1 59.375 (68.717) Prec@5 80.469 (87.074) Epoch: [85][3240/10010] Time 0.331 (0.328) Data 0.000 (0.001) Loss 1.1534 (1.3432) Prec@1 69.531 (68.719) Prec@5 87.500 (87.078) Epoch: [85][3250/10010] Time 0.319 (0.328) Data 0.001 (0.001) Loss 1.2972 (1.3429) Prec@1 67.188 (68.725) Prec@5 87.500 (87.081) Epoch: [85][3260/10010] Time 0.314 (0.328) Data 0.001 (0.001) Loss 1.3303 (1.3432) Prec@1 69.531 (68.726) Prec@5 88.281 (87.079) Epoch: [85][3270/10010] Time 0.313 (0.328) Data 0.000 (0.001) Loss 1.3041 (1.3435) Prec@1 70.312 (68.719) Prec@5 91.406 (87.077) Epoch: [85][3280/10010] Time 0.334 (0.328) Data 0.000 (0.001) Loss 1.5498 (1.3435) Prec@1 65.625 (68.719) Prec@5 81.250 (87.078) Epoch: [85][3290/10010] Time 0.333 (0.328) Data 0.001 (0.001) Loss 1.4090 (1.3435) Prec@1 70.312 (68.720) Prec@5 89.844 (87.077) Epoch: [85][3300/10010] Time 0.331 (0.328) Data 0.001 (0.001) Loss 1.4136 (1.3435) Prec@1 64.062 (68.720) Prec@5 85.156 (87.079) Epoch: [85][3310/10010] Time 0.321 (0.328) Data 0.001 (0.001) Loss 1.4837 (1.3438) Prec@1 67.188 (68.711) Prec@5 85.156 (87.074) Epoch: [85][3320/10010] Time 0.342 (0.328) Data 0.000 (0.001) Loss 1.4623 (1.3439) Prec@1 67.969 (68.708) Prec@5 82.812 (87.071) Epoch: [85][3330/10010] Time 0.311 (0.328) Data 0.001 (0.001) Loss 0.9368 (1.3434) Prec@1 77.344 (68.718) Prec@5 95.312 (87.077) Epoch: [85][3340/10010] Time 0.337 (0.328) Data 0.000 (0.001) Loss 1.4974 (1.3432) Prec@1 59.375 (68.722) Prec@5 82.812 (87.080) Epoch: [85][3350/10010] Time 0.323 (0.328) Data 0.000 (0.001) Loss 1.6041 (1.3434) Prec@1 64.062 (68.714) Prec@5 85.156 (87.079) Epoch: [85][3360/10010] Time 0.314 (0.328) Data 0.001 (0.001) Loss 1.2027 (1.3434) Prec@1 74.219 (68.714) Prec@5 88.281 (87.076) Epoch: [85][3370/10010] Time 0.338 (0.328) Data 0.001 (0.001) Loss 1.0032 (1.3432) Prec@1 79.688 (68.719) Prec@5 89.844 (87.077) Epoch: [85][3380/10010] Time 0.315 (0.328) Data 0.001 (0.001) Loss 1.2128 (1.3431) Prec@1 70.312 (68.717) Prec@5 89.844 (87.078) Epoch: [85][3390/10010] Time 0.340 (0.328) Data 0.000 (0.001) Loss 1.2353 (1.3429) Prec@1 70.312 (68.720) Prec@5 92.188 (87.080) Epoch: [85][3400/10010] Time 0.320 (0.328) Data 0.000 (0.001) Loss 1.3599 (1.3429) Prec@1 70.312 (68.723) Prec@5 88.281 (87.082) Epoch: [85][3410/10010] Time 0.338 (0.328) Data 0.000 (0.001) Loss 1.5579 (1.3432) Prec@1 67.969 (68.717) Prec@5 83.594 (87.080) Epoch: [85][3420/10010] Time 0.318 (0.328) Data 0.001 (0.001) Loss 1.0231 (1.3432) Prec@1 75.000 (68.720) Prec@5 91.406 (87.082) Epoch: [85][3430/10010] Time 0.329 (0.328) Data 0.001 (0.001) Loss 1.1045 (1.3430) Prec@1 74.219 (68.723) Prec@5 92.188 (87.086) Epoch: [85][3440/10010] Time 0.316 (0.328) Data 0.001 (0.001) Loss 1.1777 (1.3428) Prec@1 75.781 (68.731) Prec@5 90.625 (87.088) Epoch: [85][3450/10010] Time 0.320 (0.328) Data 0.004 (0.001) Loss 1.3931 (1.3432) Prec@1 67.969 (68.722) Prec@5 87.500 (87.084) Epoch: [85][3460/10010] Time 0.319 (0.328) Data 0.001 (0.001) Loss 1.4017 (1.3431) Prec@1 66.406 (68.724) Prec@5 89.062 (87.086) Epoch: [85][3470/10010] Time 0.342 (0.328) Data 0.000 (0.001) Loss 1.2915 (1.3430) Prec@1 69.531 (68.730) Prec@5 90.625 (87.088) Epoch: [85][3480/10010] Time 0.337 (0.328) Data 0.001 (0.001) Loss 1.4232 (1.3429) Prec@1 64.844 (68.731) Prec@5 86.719 (87.092) Epoch: [85][3490/10010] Time 0.321 (0.328) Data 0.001 (0.001) Loss 1.3994 (1.3429) Prec@1 69.531 (68.731) Prec@5 85.938 (87.092) Epoch: [85][3500/10010] Time 0.331 (0.328) Data 0.001 (0.001) Loss 1.2122 (1.3428) Prec@1 70.312 (68.731) Prec@5 88.281 (87.095) Epoch: [85][3510/10010] Time 0.322 (0.328) Data 0.000 (0.001) Loss 1.2601 (1.3428) Prec@1 74.219 (68.731) Prec@5 87.500 (87.091) Epoch: [85][3520/10010] Time 0.337 (0.328) Data 0.001 (0.001) Loss 1.7137 (1.3430) Prec@1 63.281 (68.730) Prec@5 77.344 (87.090) Epoch: [85][3530/10010] Time 0.330 (0.328) Data 0.001 (0.001) Loss 1.2405 (1.3430) Prec@1 72.656 (68.728) Prec@5 89.844 (87.090) Epoch: [85][3540/10010] Time 0.338 (0.328) Data 0.000 (0.001) Loss 1.6677 (1.3429) Prec@1 63.281 (68.731) Prec@5 80.469 (87.091) Epoch: [85][3550/10010] Time 0.317 (0.328) Data 0.001 (0.001) Loss 1.4036 (1.3431) Prec@1 71.875 (68.726) Prec@5 85.156 (87.092) Epoch: [85][3560/10010] Time 0.335 (0.328) Data 0.000 (0.001) Loss 1.4043 (1.3430) Prec@1 64.844 (68.728) Prec@5 85.938 (87.089) Epoch: [85][3570/10010] Time 0.321 (0.328) Data 0.000 (0.001) Loss 1.1837 (1.3431) Prec@1 77.344 (68.728) Prec@5 88.281 (87.088) Epoch: [85][3580/10010] Time 0.335 (0.328) Data 0.000 (0.001) Loss 1.1883 (1.3433) Prec@1 73.438 (68.725) Prec@5 89.062 (87.084) Epoch: [85][3590/10010] Time 0.320 (0.328) Data 0.000 (0.001) Loss 1.1788 (1.3433) Prec@1 73.438 (68.724) Prec@5 89.844 (87.079) Epoch: [85][3600/10010] Time 0.322 (0.328) Data 0.001 (0.001) Loss 1.4956 (1.3434) Prec@1 67.188 (68.724) Prec@5 84.375 (87.076) Epoch: [85][3610/10010] Time 0.335 (0.328) Data 0.001 (0.001) Loss 1.4902 (1.3436) Prec@1 64.062 (68.721) Prec@5 85.156 (87.073) Epoch: [85][3620/10010] Time 0.331 (0.328) Data 0.001 (0.001) Loss 0.9341 (1.3436) Prec@1 76.562 (68.723) Prec@5 89.844 (87.070) Epoch: [85][3630/10010] Time 0.321 (0.328) Data 0.001 (0.001) Loss 1.3990 (1.3437) Prec@1 64.062 (68.719) Prec@5 85.938 (87.068) Epoch: [85][3640/10010] Time 0.334 (0.328) Data 0.001 (0.001) Loss 1.6120 (1.3439) Prec@1 63.281 (68.715) Prec@5 85.938 (87.067) Epoch: [85][3650/10010] Time 0.319 (0.328) Data 0.001 (0.001) Loss 1.2771 (1.3440) Prec@1 67.969 (68.711) Prec@5 86.719 (87.065) Epoch: [85][3660/10010] Time 0.341 (0.328) Data 0.000 (0.001) Loss 1.2352 (1.3441) Prec@1 66.406 (68.706) Prec@5 91.406 (87.062) Epoch: [85][3670/10010] Time 0.322 (0.328) Data 0.001 (0.001) Loss 1.2530 (1.3443) Prec@1 66.406 (68.702) Prec@5 89.062 (87.060) Epoch: [85][3680/10010] Time 0.325 (0.328) Data 0.001 (0.001) Loss 1.4253 (1.3443) Prec@1 67.188 (68.701) Prec@5 85.938 (87.060) Epoch: [85][3690/10010] Time 0.332 (0.328) Data 0.001 (0.001) Loss 1.3961 (1.3441) Prec@1 62.500 (68.703) Prec@5 85.156 (87.062) Epoch: [85][3700/10010] Time 0.336 (0.328) Data 0.000 (0.001) Loss 1.4728 (1.3442) Prec@1 71.875 (68.703) Prec@5 86.719 (87.063) Epoch: [85][3710/10010] Time 0.336 (0.328) Data 0.000 (0.001) Loss 1.1308 (1.3444) Prec@1 72.656 (68.704) Prec@5 86.719 (87.056) Epoch: [85][3720/10010] Time 0.325 (0.328) Data 0.001 (0.001) Loss 1.6243 (1.3441) Prec@1 66.406 (68.711) Prec@5 82.812 (87.060) Epoch: [85][3730/10010] Time 0.332 (0.328) Data 0.001 (0.001) Loss 1.1561 (1.3439) Prec@1 68.750 (68.710) Prec@5 92.969 (87.062) Epoch: [85][3740/10010] Time 0.333 (0.328) Data 0.001 (0.001) Loss 1.6341 (1.3438) Prec@1 66.406 (68.713) Prec@5 85.156 (87.065) Epoch: [85][3750/10010] Time 0.336 (0.328) Data 0.000 (0.001) Loss 1.3542 (1.3436) Prec@1 67.969 (68.716) Prec@5 86.719 (87.067) Epoch: [85][3760/10010] Time 0.313 (0.328) Data 0.001 (0.001) Loss 1.3186 (1.3436) Prec@1 66.406 (68.712) Prec@5 88.281 (87.066) /data/vision/torralba/deepscene/lib/anaconda2/lib/python2.7/site-packages/PIL/TiffImagePlugin.py:692: UserWarning: Possibly corrupt EXIF data. Expecting to read 2555904 bytes but only got 0. Skipping tag 0 "Skipping tag %s" % (size, len(data), tag)) Epoch: [85][3770/10010] Time 0.338 (0.328) Data 0.001 (0.001) Loss 1.5858 (1.3435) Prec@1 65.625 (68.709) Prec@5 85.156 (87.068) Epoch: [85][3780/10010] Time 0.319 (0.328) Data 0.001 (0.001) Loss 1.2008 (1.3434) Prec@1 67.969 (68.711) Prec@5 91.406 (87.070) Epoch: [85][3790/10010] Time 0.334 (0.328) Data 0.001 (0.001) Loss 1.3237 (1.3436) Prec@1 71.875 (68.710) Prec@5 84.375 (87.067) Epoch: [85][3800/10010] Time 0.315 (0.328) Data 0.001 (0.001) Loss 1.2203 (1.3436) Prec@1 73.438 (68.710) Prec@5 86.719 (87.064) Epoch: [85][3810/10010] Time 0.325 (0.328) Data 0.001 (0.001) Loss 1.2904 (1.3437) Prec@1 71.094 (68.712) Prec@5 85.938 (87.063) Epoch: [85][3820/10010] Time 0.323 (0.328) Data 0.001 (0.001) Loss 1.3482 (1.3439) Prec@1 65.625 (68.709) Prec@5 88.281 (87.060) Epoch: [85][3830/10010] Time 0.319 (0.328) Data 0.001 (0.001) Loss 1.4149 (1.3441) Prec@1 71.094 (68.708) Prec@5 85.938 (87.057) Epoch: [85][3840/10010] Time 0.338 (0.328) Data 0.000 (0.001) Loss 1.1845 (1.3439) Prec@1 68.750 (68.709) Prec@5 90.625 (87.058) Epoch: [85][3850/10010] Time 0.332 (0.328) Data 0.001 (0.001) Loss 1.0823 (1.3439) Prec@1 78.125 (68.713) Prec@5 91.406 (87.058) Epoch: [85][3860/10010] Time 0.327 (0.328) Data 0.001 (0.001) Loss 1.3069 (1.3437) Prec@1 71.094 (68.717) Prec@5 86.719 (87.059) Epoch: [85][3870/10010] Time 0.321 (0.328) Data 0.001 (0.001) Loss 1.1034 (1.3438) Prec@1 76.562 (68.714) Prec@5 91.406 (87.059) Epoch: [85][3880/10010] Time 0.318 (0.328) Data 0.001 (0.001) Loss 1.3130 (1.3441) Prec@1 69.531 (68.710) Prec@5 86.719 (87.054) Epoch: [85][3890/10010] Time 0.318 (0.328) Data 0.000 (0.001) Loss 1.1681 (1.3442) Prec@1 74.219 (68.705) Prec@5 85.938 (87.051) Epoch: [85][3900/10010] Time 0.318 (0.328) Data 0.000 (0.001) Loss 1.1464 (1.3441) Prec@1 67.188 (68.705) Prec@5 89.844 (87.051) Epoch: [85][3910/10010] Time 0.321 (0.328) Data 0.000 (0.001) Loss 1.4485 (1.3440) Prec@1 63.281 (68.705) Prec@5 86.719 (87.054) Epoch: [85][3920/10010] Time 0.325 (0.328) Data 0.001 (0.001) Loss 1.4903 (1.3443) Prec@1 63.281 (68.700) Prec@5 84.375 (87.052) Epoch: [85][3930/10010] Time 0.309 (0.328) Data 0.001 (0.001) Loss 1.7500 (1.3444) Prec@1 63.281 (68.698) Prec@5 84.375 (87.052) Epoch: [85][3940/10010] Time 0.313 (0.328) Data 0.000 (0.001) Loss 1.6988 (1.3442) Prec@1 58.594 (68.696) Prec@5 82.812 (87.055) Epoch: [85][3950/10010] Time 0.331 (0.328) Data 0.001 (0.001) Loss 1.2849 (1.3443) Prec@1 72.656 (68.696) Prec@5 85.156 (87.052) Epoch: [85][3960/10010] Time 0.319 (0.328) Data 0.001 (0.001) Loss 1.4828 (1.3443) Prec@1 63.281 (68.698) Prec@5 85.938 (87.052) Epoch: [85][3970/10010] Time 0.333 (0.328) Data 0.001 (0.001) Loss 1.2171 (1.3443) Prec@1 71.094 (68.695) Prec@5 89.844 (87.049) Epoch: [85][3980/10010] Time 0.324 (0.328) Data 0.001 (0.001) Loss 1.2078 (1.3442) Prec@1 77.344 (68.698) Prec@5 89.844 (87.051) Epoch: [85][3990/10010] Time 0.317 (0.328) Data 0.001 (0.001) Loss 1.5443 (1.3442) Prec@1 64.062 (68.697) Prec@5 83.594 (87.052) Epoch: [85][4000/10010] Time 0.325 (0.328) Data 0.001 (0.001) Loss 1.4661 (1.3443) Prec@1 67.188 (68.696) Prec@5 83.594 (87.051) Epoch: [85][4010/10010] Time 0.328 (0.328) Data 0.001 (0.001) Loss 1.1949 (1.3444) Prec@1 71.875 (68.693) Prec@5 91.406 (87.049) Epoch: [85][4020/10010] Time 0.321 (0.328) Data 0.001 (0.001) Loss 1.4116 (1.3444) Prec@1 68.750 (68.692) Prec@5 84.375 (87.051) Epoch: [85][4030/10010] Time 0.329 (0.328) Data 0.001 (0.001) Loss 1.0762 (1.3443) Prec@1 74.219 (68.693) Prec@5 90.625 (87.050) Epoch: [85][4040/10010] Time 0.320 (0.328) Data 0.001 (0.001) Loss 1.3748 (1.3445) Prec@1 67.188 (68.690) Prec@5 86.719 (87.050) Epoch: [85][4050/10010] Time 0.328 (0.328) Data 0.001 (0.001) Loss 1.2055 (1.3446) Prec@1 69.531 (68.687) Prec@5 92.969 (87.049) Epoch: [85][4060/10010] Time 0.321 (0.328) Data 0.000 (0.001) Loss 1.2285 (1.3446) Prec@1 70.312 (68.687) Prec@5 88.281 (87.048) Epoch: [85][4070/10010] Time 0.336 (0.328) Data 0.001 (0.001) Loss 1.2125 (1.3446) Prec@1 73.438 (68.689) Prec@5 88.281 (87.050) Epoch: [85][4080/10010] Time 0.320 (0.328) Data 0.001 (0.001) Loss 1.4246 (1.3446) Prec@1 67.969 (68.684) Prec@5 84.375 (87.046) Epoch: [85][4090/10010] Time 0.321 (0.328) Data 0.001 (0.001) Loss 1.1009 (1.3448) Prec@1 72.656 (68.683) Prec@5 92.969 (87.044) Epoch: [85][4100/10010] Time 0.326 (0.328) Data 0.001 (0.001) Loss 1.4587 (1.3447) Prec@1 68.750 (68.685) Prec@5 85.938 (87.047) Epoch: [85][4110/10010] Time 0.331 (0.328) Data 0.000 (0.001) Loss 1.3053 (1.3448) Prec@1 68.750 (68.683) Prec@5 83.594 (87.045) Epoch: [85][4120/10010] Time 0.342 (0.328) Data 0.000 (0.001) Loss 1.2444 (1.3447) Prec@1 71.094 (68.682) Prec@5 89.844 (87.046) Epoch: [85][4130/10010] Time 0.323 (0.328) Data 0.000 (0.001) Loss 1.4432 (1.3448) Prec@1 69.531 (68.677) Prec@5 85.938 (87.046) Epoch: [85][4140/10010] Time 0.333 (0.328) Data 0.001 (0.001) Loss 1.2509 (1.3448) Prec@1 70.312 (68.677) Prec@5 89.062 (87.045) Epoch: [85][4150/10010] Time 0.317 (0.328) Data 0.001 (0.001) Loss 1.0672 (1.3448) Prec@1 77.344 (68.679) Prec@5 92.969 (87.045) Epoch: [85][4160/10010] Time 0.326 (0.328) Data 0.001 (0.001) Loss 1.6653 (1.3450) Prec@1 64.844 (68.677) Prec@5 82.031 (87.042) Epoch: [85][4170/10010] Time 0.338 (0.328) Data 0.001 (0.001) Loss 1.3187 (1.3448) Prec@1 64.844 (68.676) Prec@5 89.062 (87.046) Epoch: [85][4180/10010] Time 0.320 (0.328) Data 0.001 (0.001) Loss 1.3457 (1.3451) Prec@1 72.656 (68.675) Prec@5 85.156 (87.039) Epoch: [85][4190/10010] Time 0.334 (0.328) Data 0.001 (0.001) Loss 1.2703 (1.3452) Prec@1 74.219 (68.669) Prec@5 85.156 (87.039) Epoch: [85][4200/10010] Time 0.319 (0.328) Data 0.000 (0.001) Loss 1.2401 (1.3451) Prec@1 71.094 (68.670) Prec@5 91.406 (87.043) Epoch: [85][4210/10010] Time 0.318 (0.328) Data 0.001 (0.001) Loss 1.6001 (1.3451) Prec@1 60.156 (68.670) Prec@5 82.031 (87.042) Epoch: [85][4220/10010] Time 0.337 (0.328) Data 0.001 (0.001) Loss 1.2933 (1.3451) Prec@1 67.969 (68.671) Prec@5 86.719 (87.044) Epoch: [85][4230/10010] Time 0.339 (0.328) Data 0.001 (0.001) Loss 1.5919 (1.3451) Prec@1 65.625 (68.672) Prec@5 85.938 (87.044) /data/vision/torralba/deepscene/lib/anaconda2/lib/python2.7/site-packages/PIL/TiffImagePlugin.py:692: UserWarning: Possibly corrupt EXIF data. Expecting to read 2555904 bytes but only got 0. Skipping tag 0 "Skipping tag %s" % (size, len(data), tag)) Epoch: [85][4240/10010] Time 0.313 (0.328) Data 0.000 (0.001) Loss 1.3689 (1.3450) Prec@1 67.188 (68.674) Prec@5 85.156 (87.045) Epoch: [85][4250/10010] Time 0.331 (0.328) Data 0.000 (0.001) Loss 1.6854 (1.3448) Prec@1 62.500 (68.681) Prec@5 80.469 (87.049) Epoch: [85][4260/10010] Time 0.339 (0.328) Data 0.000 (0.001) Loss 1.1548 (1.3448) Prec@1 73.438 (68.684) Prec@5 87.500 (87.052) Epoch: [85][4270/10010] Time 0.319 (0.328) Data 0.001 (0.001) Loss 1.4019 (1.3450) Prec@1 68.750 (68.679) Prec@5 86.719 (87.049) Epoch: [85][4280/10010] Time 0.335 (0.328) Data 0.000 (0.001) Loss 1.3857 (1.3450) Prec@1 63.281 (68.679) Prec@5 85.156 (87.050) Epoch: [85][4290/10010] Time 0.333 (0.328) Data 0.001 (0.001) Loss 1.3490 (1.3449) Prec@1 70.312 (68.683) Prec@5 87.500 (87.051) Epoch: [85][4300/10010] Time 0.332 (0.328) Data 0.001 (0.001) Loss 1.2470 (1.3451) Prec@1 69.531 (68.681) Prec@5 88.281 (87.050) Epoch: [85][4310/10010] Time 0.316 (0.328) Data 0.000 (0.001) Loss 1.5418 (1.3452) Prec@1 67.969 (68.678) Prec@5 83.594 (87.047) Epoch: [85][4320/10010] Time 0.314 (0.328) Data 0.000 (0.001) Loss 1.3314 (1.3452) Prec@1 66.406 (68.677) Prec@5 88.281 (87.047) Epoch: [85][4330/10010] Time 0.321 (0.328) Data 0.001 (0.001) Loss 1.2434 (1.3450) Prec@1 67.969 (68.677) Prec@5 92.188 (87.048) Epoch: [85][4340/10010] Time 0.319 (0.328) Data 0.001 (0.001) Loss 1.3953 (1.3452) Prec@1 64.844 (68.675) Prec@5 87.500 (87.049) Epoch: [85][4350/10010] Time 0.344 (0.328) Data 0.001 (0.001) Loss 1.3704 (1.3451) Prec@1 67.188 (68.676) Prec@5 87.500 (87.049) Epoch: [85][4360/10010] Time 0.342 (0.328) Data 0.001 (0.001) Loss 1.2881 (1.3450) Prec@1 67.969 (68.675) Prec@5 86.719 (87.050) Epoch: [85][4370/10010] Time 0.340 (0.328) Data 0.001 (0.001) Loss 1.3413 (1.3451) Prec@1 71.094 (68.675) Prec@5 85.938 (87.050) Epoch: [85][4380/10010] Time 0.322 (0.328) Data 0.000 (0.001) Loss 1.5655 (1.3450) Prec@1 64.062 (68.673) Prec@5 84.375 (87.049) Epoch: [85][4390/10010] Time 0.336 (0.328) Data 0.001 (0.001) Loss 1.2115 (1.3450) Prec@1 72.656 (68.678) Prec@5 88.281 (87.049) Epoch: [85][4400/10010] Time 0.322 (0.328) Data 0.001 (0.001) Loss 1.4802 (1.3451) Prec@1 67.188 (68.678) Prec@5 85.156 (87.046) Epoch: [85][4410/10010] Time 0.332 (0.328) Data 0.001 (0.001) Loss 1.4198 (1.3451) Prec@1 64.844 (68.680) Prec@5 85.938 (87.045) Epoch: [85][4420/10010] Time 0.330 (0.328) Data 0.000 (0.001) Loss 1.4202 (1.3452) Prec@1 64.844 (68.678) Prec@5 84.375 (87.044) Epoch: [85][4430/10010] Time 0.313 (0.328) Data 0.001 (0.001) Loss 1.2556 (1.3451) Prec@1 73.438 (68.682) Prec@5 86.719 (87.047) Epoch: [85][4440/10010] Time 0.341 (0.328) Data 0.001 (0.001) Loss 1.3451 (1.3451) Prec@1 66.406 (68.680) Prec@5 85.938 (87.047) Epoch: [85][4450/10010] Time 0.324 (0.328) Data 0.001 (0.001) Loss 1.5222 (1.3450) Prec@1 65.625 (68.683) Prec@5 84.375 (87.049) Epoch: [85][4460/10010] Time 0.338 (0.328) Data 0.001 (0.001) Loss 1.3676 (1.3449) Prec@1 66.406 (68.687) Prec@5 86.719 (87.049) Epoch: [85][4470/10010] Time 0.341 (0.328) Data 0.001 (0.001) Loss 1.2624 (1.3448) Prec@1 71.094 (68.689) Prec@5 89.062 (87.050) Epoch: [85][4480/10010] Time 0.334 (0.328) Data 0.001 (0.001) Loss 1.4599 (1.3450) Prec@1 65.625 (68.684) Prec@5 86.719 (87.048) Epoch: [85][4490/10010] Time 0.342 (0.328) Data 0.001 (0.001) Loss 1.5075 (1.3450) Prec@1 66.406 (68.684) Prec@5 84.375 (87.048) Epoch: [85][4500/10010] Time 0.340 (0.328) Data 0.001 (0.001) Loss 1.3908 (1.3451) Prec@1 66.406 (68.683) Prec@5 85.156 (87.046) Epoch: [85][4510/10010] Time 0.339 (0.328) Data 0.000 (0.001) Loss 1.2937 (1.3451) Prec@1 67.969 (68.687) Prec@5 84.375 (87.047) Epoch: [85][4520/10010] Time 0.318 (0.328) Data 0.000 (0.001) Loss 1.3411 (1.3452) Prec@1 71.094 (68.687) Prec@5 87.500 (87.046) Epoch: [85][4530/10010] Time 0.336 (0.328) Data 0.001 (0.001) Loss 1.4424 (1.3453) Prec@1 66.406 (68.685) Prec@5 84.375 (87.044) Epoch: [85][4540/10010] Time 0.333 (0.328) Data 0.001 (0.001) Loss 1.1097 (1.3452) Prec@1 69.531 (68.685) Prec@5 92.969 (87.046) Epoch: [85][4550/10010] Time 0.328 (0.328) Data 0.001 (0.001) Loss 1.1375 (1.3451) Prec@1 75.000 (68.688) Prec@5 88.281 (87.047) Epoch: [85][4560/10010] Time 0.323 (0.328) Data 0.001 (0.001) Loss 1.4441 (1.3452) Prec@1 65.625 (68.689) Prec@5 83.594 (87.042) Epoch: [85][4570/10010] Time 0.331 (0.328) Data 0.001 (0.001) Loss 1.4056 (1.3452) Prec@1 69.531 (68.689) Prec@5 85.156 (87.045) Epoch: [85][4580/10010] Time 0.337 (0.328) Data 0.001 (0.001) Loss 1.6431 (1.3454) Prec@1 56.250 (68.682) Prec@5 82.031 (87.043) Epoch: [85][4590/10010] Time 0.334 (0.328) Data 0.000 (0.001) Loss 1.3540 (1.3453) Prec@1 69.531 (68.683) Prec@5 86.719 (87.043) Epoch: [85][4600/10010] Time 0.313 (0.328) Data 0.000 (0.001) Loss 1.2738 (1.3453) Prec@1 67.188 (68.686) Prec@5 90.625 (87.044) Epoch: [85][4610/10010] Time 0.309 (0.328) Data 0.001 (0.001) Loss 1.5524 (1.3453) Prec@1 66.406 (68.685) Prec@5 82.031 (87.044) Epoch: [85][4620/10010] Time 0.322 (0.328) Data 0.001 (0.001) Loss 1.1427 (1.3453) Prec@1 71.875 (68.688) Prec@5 90.625 (87.044) Epoch: [85][4630/10010] Time 0.312 (0.328) Data 0.000 (0.001) Loss 1.5431 (1.3452) Prec@1 67.188 (68.690) Prec@5 84.375 (87.046) Epoch: [85][4640/10010] Time 0.329 (0.328) Data 0.001 (0.001) Loss 1.5038 (1.3454) Prec@1 67.969 (68.684) Prec@5 83.594 (87.045) Epoch: [85][4650/10010] Time 0.330 (0.328) Data 0.001 (0.001) Loss 1.2703 (1.3455) Prec@1 67.188 (68.684) Prec@5 87.500 (87.042) Epoch: [85][4660/10010] Time 0.327 (0.328) Data 0.000 (0.001) Loss 1.1306 (1.3454) Prec@1 69.531 (68.685) Prec@5 89.844 (87.044) Epoch: [85][4670/10010] Time 0.334 (0.328) Data 0.000 (0.001) Loss 1.5312 (1.3452) Prec@1 60.938 (68.685) Prec@5 85.938 (87.048) Epoch: [85][4680/10010] Time 0.328 (0.328) Data 0.000 (0.001) Loss 1.5434 (1.3453) Prec@1 64.844 (68.683) Prec@5 82.031 (87.043) Epoch: [85][4690/10010] Time 0.321 (0.328) Data 0.000 (0.001) Loss 1.5663 (1.3452) Prec@1 57.812 (68.687) Prec@5 85.938 (87.046) Epoch: [85][4700/10010] Time 0.318 (0.328) Data 0.001 (0.001) Loss 1.2498 (1.3452) Prec@1 75.000 (68.686) Prec@5 86.719 (87.047) Epoch: [85][4710/10010] Time 0.337 (0.328) Data 0.001 (0.001) Loss 1.2887 (1.3452) Prec@1 70.312 (68.686) Prec@5 89.062 (87.048) Epoch: [85][4720/10010] Time 0.322 (0.328) Data 0.000 (0.001) Loss 1.3928 (1.3454) Prec@1 67.188 (68.682) Prec@5 88.281 (87.047) Epoch: [85][4730/10010] Time 0.338 (0.328) Data 0.001 (0.001) Loss 1.4827 (1.3455) Prec@1 66.406 (68.681) Prec@5 83.594 (87.044) Epoch: [85][4740/10010] Time 0.334 (0.328) Data 0.001 (0.001) Loss 1.4517 (1.3455) Prec@1 66.406 (68.680) Prec@5 85.938 (87.044) Epoch: [85][4750/10010] Time 0.334 (0.328) Data 0.000 (0.001) Loss 1.4749 (1.3456) Prec@1 68.750 (68.678) Prec@5 84.375 (87.041) Epoch: [85][4760/10010] Time 0.338 (0.328) Data 0.000 (0.001) Loss 1.3156 (1.3455) Prec@1 66.406 (68.682) Prec@5 88.281 (87.040) Epoch: [85][4770/10010] Time 0.333 (0.328) Data 0.001 (0.001) Loss 1.1229 (1.3454) Prec@1 71.094 (68.685) Prec@5 87.500 (87.041) Epoch: [85][4780/10010] Time 0.338 (0.328) Data 0.001 (0.001) Loss 1.1350 (1.3453) Prec@1 73.438 (68.687) Prec@5 90.625 (87.045) Epoch: [85][4790/10010] Time 0.332 (0.328) Data 0.001 (0.001) Loss 1.0041 (1.3453) Prec@1 78.906 (68.687) Prec@5 90.625 (87.044) Epoch: [85][4800/10010] Time 0.328 (0.328) Data 0.001 (0.001) Loss 1.3622 (1.3454) Prec@1 64.844 (68.687) Prec@5 85.938 (87.043) Epoch: [85][4810/10010] Time 0.327 (0.328) Data 0.001 (0.001) Loss 1.3018 (1.3452) Prec@1 71.875 (68.690) Prec@5 85.938 (87.046) Epoch: [85][4820/10010] Time 0.341 (0.328) Data 0.001 (0.001) Loss 1.4418 (1.3453) Prec@1 65.625 (68.688) Prec@5 88.281 (87.046) Epoch: [85][4830/10010] Time 0.311 (0.328) Data 0.001 (0.001) Loss 1.2065 (1.3455) Prec@1 74.219 (68.686) Prec@5 89.062 (87.042) Epoch: [85][4840/10010] Time 0.323 (0.328) Data 0.000 (0.001) Loss 1.4482 (1.3456) Prec@1 61.719 (68.684) Prec@5 86.719 (87.041) Epoch: [85][4850/10010] Time 0.335 (0.328) Data 0.001 (0.001) Loss 1.4028 (1.3457) Prec@1 68.750 (68.684) Prec@5 83.594 (87.039) Epoch: [85][4860/10010] Time 0.326 (0.328) Data 0.000 (0.001) Loss 1.6709 (1.3458) Prec@1 64.062 (68.682) Prec@5 82.812 (87.037) Epoch: [85][4870/10010] Time 0.339 (0.328) Data 0.001 (0.001) Loss 1.2156 (1.3457) Prec@1 65.625 (68.684) Prec@5 90.625 (87.038) Epoch: [85][4880/10010] Time 0.345 (0.328) Data 0.000 (0.001) Loss 1.3465 (1.3456) Prec@1 66.406 (68.682) Prec@5 83.594 (87.037) Epoch: [85][4890/10010] Time 0.336 (0.328) Data 0.001 (0.001) Loss 1.0778 (1.3456) Prec@1 73.438 (68.681) Prec@5 92.188 (87.038) Epoch: [85][4900/10010] Time 0.318 (0.328) Data 0.000 (0.001) Loss 1.5953 (1.3456) Prec@1 60.938 (68.683) Prec@5 85.156 (87.039) Epoch: [85][4910/10010] Time 0.315 (0.328) Data 0.001 (0.001) Loss 1.2839 (1.3457) Prec@1 66.406 (68.682) Prec@5 88.281 (87.036) Epoch: [85][4920/10010] Time 0.334 (0.328) Data 0.000 (0.001) Loss 1.3509 (1.3460) Prec@1 65.625 (68.676) Prec@5 87.500 (87.030) Epoch: [85][4930/10010] Time 0.321 (0.328) Data 0.001 (0.001) Loss 1.5273 (1.3460) Prec@1 64.062 (68.675) Prec@5 84.375 (87.029) Epoch: [85][4940/10010] Time 0.321 (0.328) Data 0.001 (0.001) Loss 1.4709 (1.3461) Prec@1 67.188 (68.673) Prec@5 83.594 (87.026) Epoch: [85][4950/10010] Time 0.316 (0.328) Data 0.001 (0.001) Loss 0.9715 (1.3460) Prec@1 78.125 (68.674) Prec@5 91.406 (87.029) Epoch: [85][4960/10010] Time 0.339 (0.328) Data 0.001 (0.001) Loss 1.3005 (1.3460) Prec@1 72.656 (68.673) Prec@5 85.156 (87.027) Epoch: [85][4970/10010] Time 0.314 (0.328) Data 0.001 (0.001) Loss 1.2469 (1.3461) Prec@1 71.094 (68.674) Prec@5 88.281 (87.026) Epoch: [85][4980/10010] Time 0.335 (0.328) Data 0.001 (0.001) Loss 1.4487 (1.3461) Prec@1 69.531 (68.675) Prec@5 86.719 (87.027) Epoch: [85][4990/10010] Time 0.336 (0.328) Data 0.001 (0.001) Loss 1.0403 (1.3462) Prec@1 69.531 (68.671) Prec@5 91.406 (87.024) Epoch: [85][5000/10010] Time 0.320 (0.328) Data 0.001 (0.001) Loss 1.3532 (1.3461) Prec@1 70.312 (68.677) Prec@5 85.156 (87.024) Epoch: [85][5010/10010] Time 0.337 (0.328) Data 0.001 (0.001) Loss 1.1851 (1.3461) Prec@1 70.312 (68.674) Prec@5 90.625 (87.023) Epoch: [85][5020/10010] Time 0.319 (0.328) Data 0.000 (0.001) Loss 1.2207 (1.3461) Prec@1 63.281 (68.668) Prec@5 91.406 (87.024) Epoch: [85][5030/10010] Time 0.332 (0.328) Data 0.001 (0.001) Loss 1.1846 (1.3461) Prec@1 71.875 (68.668) Prec@5 88.281 (87.024) Epoch: [85][5040/10010] Time 0.328 (0.328) Data 0.000 (0.001) Loss 1.4533 (1.3461) Prec@1 67.188 (68.667) Prec@5 85.938 (87.023) Epoch: [85][5050/10010] Time 0.324 (0.328) Data 0.001 (0.001) Loss 1.2350 (1.3461) Prec@1 69.531 (68.667) Prec@5 91.406 (87.025) Epoch: [85][5060/10010] Time 0.317 (0.328) Data 0.001 (0.001) Loss 1.0577 (1.3459) Prec@1 73.438 (68.670) Prec@5 93.750 (87.027) Epoch: [85][5070/10010] Time 0.333 (0.328) Data 0.001 (0.001) Loss 1.5039 (1.3461) Prec@1 65.625 (68.664) Prec@5 85.156 (87.024) Epoch: [85][5080/10010] Time 0.315 (0.328) Data 0.000 (0.001) Loss 0.9804 (1.3462) Prec@1 76.562 (68.663) Prec@5 92.188 (87.023) Epoch: [85][5090/10010] Time 0.318 (0.328) Data 0.001 (0.001) Loss 1.4259 (1.3462) Prec@1 67.188 (68.663) Prec@5 84.375 (87.021) Epoch: [85][5100/10010] Time 0.314 (0.328) Data 0.001 (0.001) Loss 1.3373 (1.3462) Prec@1 72.656 (68.662) Prec@5 89.062 (87.021) Epoch: [85][5110/10010] Time 0.317 (0.328) Data 0.001 (0.001) Loss 1.1934 (1.3460) Prec@1 71.094 (68.665) Prec@5 89.062 (87.022) Epoch: [85][5120/10010] Time 0.329 (0.328) Data 0.001 (0.001) Loss 1.2399 (1.3459) Prec@1 65.625 (68.667) Prec@5 88.281 (87.023) Epoch: [85][5130/10010] Time 0.319 (0.328) Data 0.001 (0.001) Loss 1.2187 (1.3458) Prec@1 68.750 (68.667) Prec@5 91.406 (87.025) Epoch: [85][5140/10010] Time 0.311 (0.328) Data 0.001 (0.001) Loss 1.2179 (1.3456) Prec@1 75.000 (68.670) Prec@5 92.188 (87.029) Epoch: [85][5150/10010] Time 0.313 (0.328) Data 0.002 (0.001) Loss 1.4536 (1.3456) Prec@1 66.406 (68.670) Prec@5 86.719 (87.028) Epoch: [85][5160/10010] Time 0.320 (0.328) Data 0.001 (0.001) Loss 1.2302 (1.3455) Prec@1 73.438 (68.674) Prec@5 85.938 (87.028) Epoch: [85][5170/10010] Time 0.333 (0.328) Data 0.001 (0.001) Loss 1.3591 (1.3455) Prec@1 69.531 (68.676) Prec@5 84.375 (87.027) Epoch: [85][5180/10010] Time 0.337 (0.328) Data 0.000 (0.001) Loss 1.3608 (1.3456) Prec@1 65.625 (68.673) Prec@5 87.500 (87.026) Epoch: [85][5190/10010] Time 0.314 (0.328) Data 0.001 (0.001) Loss 1.4071 (1.3456) Prec@1 67.188 (68.672) Prec@5 85.156 (87.026) Epoch: [85][5200/10010] Time 0.340 (0.328) Data 0.000 (0.001) Loss 1.5029 (1.3456) Prec@1 65.625 (68.675) Prec@5 85.938 (87.028) Epoch: [85][5210/10010] Time 0.317 (0.328) Data 0.001 (0.001) Loss 1.3244 (1.3455) Prec@1 69.531 (68.674) Prec@5 87.500 (87.030) Epoch: [85][5220/10010] Time 0.320 (0.328) Data 0.000 (0.001) Loss 1.3829 (1.3456) Prec@1 67.188 (68.675) Prec@5 85.156 (87.028) Epoch: [85][5230/10010] Time 0.321 (0.328) Data 0.001 (0.001) Loss 1.1951 (1.3456) Prec@1 70.312 (68.673) Prec@5 89.844 (87.028) Epoch: [85][5240/10010] Time 0.320 (0.328) Data 0.000 (0.001) Loss 1.4832 (1.3459) Prec@1 64.844 (68.671) Prec@5 85.938 (87.026) Epoch: [85][5250/10010] Time 0.328 (0.328) Data 0.001 (0.001) Loss 1.5062 (1.3458) Prec@1 65.625 (68.670) Prec@5 85.156 (87.024) Epoch: [85][5260/10010] Time 0.323 (0.328) Data 0.001 (0.001) Loss 1.6227 (1.3457) Prec@1 62.500 (68.671) Prec@5 82.031 (87.026) Epoch: [85][5270/10010] Time 0.337 (0.328) Data 0.001 (0.001) Loss 1.2309 (1.3456) Prec@1 73.438 (68.672) Prec@5 89.844 (87.027) Epoch: [85][5280/10010] Time 0.330 (0.328) Data 0.001 (0.001) Loss 1.3106 (1.3457) Prec@1 71.094 (68.670) Prec@5 87.500 (87.026) Epoch: [85][5290/10010] Time 0.317 (0.328) Data 0.001 (0.001) Loss 1.2837 (1.3458) Prec@1 72.656 (68.669) Prec@5 89.062 (87.026) Epoch: [85][5300/10010] Time 0.340 (0.327) Data 0.001 (0.001) Loss 1.3288 (1.3458) Prec@1 68.750 (68.670) Prec@5 86.719 (87.028) Epoch: [85][5310/10010] Time 0.334 (0.328) Data 0.001 (0.001) Loss 0.9149 (1.3457) Prec@1 77.344 (68.669) Prec@5 92.188 (87.028) Epoch: [85][5320/10010] Time 0.338 (0.328) Data 0.000 (0.001) Loss 1.2224 (1.3455) Prec@1 74.219 (68.675) Prec@5 86.719 (87.030) Epoch: [85][5330/10010] Time 0.331 (0.328) Data 0.001 (0.001) Loss 1.6832 (1.3455) Prec@1 65.625 (68.676) Prec@5 82.031 (87.032) Epoch: [85][5340/10010] Time 0.336 (0.328) Data 0.001 (0.001) Loss 1.4440 (1.3454) Prec@1 67.969 (68.677) Prec@5 85.938 (87.030) Epoch: [85][5350/10010] Time 0.315 (0.328) Data 0.001 (0.001) Loss 1.3368 (1.3454) Prec@1 67.188 (68.678) Prec@5 87.500 (87.031) Epoch: [85][5360/10010] Time 0.325 (0.328) Data 0.001 (0.001) Loss 1.2709 (1.3455) Prec@1 68.750 (68.675) Prec@5 89.844 (87.031) Epoch: [85][5370/10010] Time 0.326 (0.328) Data 0.001 (0.001) Loss 1.1257 (1.3456) Prec@1 74.219 (68.676) Prec@5 91.406 (87.030) Epoch: [85][5380/10010] Time 0.339 (0.328) Data 0.000 (0.001) Loss 1.2461 (1.3457) Prec@1 72.656 (68.674) Prec@5 88.281 (87.030) Epoch: [85][5390/10010] Time 0.340 (0.328) Data 0.001 (0.001) Loss 1.6142 (1.3459) Prec@1 62.500 (68.671) Prec@5 82.031 (87.028) Epoch: [85][5400/10010] Time 0.340 (0.328) Data 0.000 (0.001) Loss 1.1228 (1.3457) Prec@1 72.656 (68.674) Prec@5 91.406 (87.029) Epoch: [85][5410/10010] Time 0.323 (0.328) Data 0.000 (0.001) Loss 1.3082 (1.3458) Prec@1 70.312 (68.673) Prec@5 89.062 (87.029) Epoch: [85][5420/10010] Time 0.329 (0.328) Data 0.001 (0.001) Loss 1.3778 (1.3459) Prec@1 73.438 (68.671) Prec@5 88.281 (87.029) Epoch: [85][5430/10010] Time 0.316 (0.328) Data 0.001 (0.001) Loss 1.1472 (1.3458) Prec@1 74.219 (68.673) Prec@5 89.844 (87.030) Epoch: [85][5440/10010] Time 0.340 (0.328) Data 0.001 (0.001) Loss 1.4366 (1.3459) Prec@1 67.188 (68.671) Prec@5 86.719 (87.028) Epoch: [85][5450/10010] Time 0.324 (0.328) Data 0.001 (0.001) Loss 1.3733 (1.3458) Prec@1 68.750 (68.673) Prec@5 87.500 (87.029) Epoch: [85][5460/10010] Time 0.322 (0.328) Data 0.001 (0.001) Loss 1.3197 (1.3457) Prec@1 73.438 (68.678) Prec@5 87.500 (87.033) Epoch: [85][5470/10010] Time 0.335 (0.328) Data 0.001 (0.001) Loss 1.2350 (1.3458) Prec@1 66.406 (68.672) Prec@5 89.062 (87.030) Epoch: [85][5480/10010] Time 0.324 (0.328) Data 0.001 (0.001) Loss 1.4307 (1.3459) Prec@1 65.625 (68.670) Prec@5 87.500 (87.031) Epoch: [85][5490/10010] Time 0.318 (0.327) Data 0.001 (0.001) Loss 1.4234 (1.3459) Prec@1 67.969 (68.671) Prec@5 85.938 (87.031) Epoch: [85][5500/10010] Time 0.325 (0.327) Data 0.000 (0.001) Loss 1.4983 (1.3460) Prec@1 61.719 (68.668) Prec@5 85.938 (87.030) Epoch: [85][5510/10010] Time 0.312 (0.327) Data 0.001 (0.001) Loss 1.3260 (1.3460) Prec@1 69.531 (68.668) Prec@5 85.938 (87.030) Epoch: [85][5520/10010] Time 0.339 (0.328) Data 0.001 (0.001) Loss 1.5019 (1.3461) Prec@1 67.188 (68.667) Prec@5 84.375 (87.029) Epoch: [85][5530/10010] Time 0.334 (0.328) Data 0.001 (0.001) Loss 1.0398 (1.3459) Prec@1 72.656 (68.669) Prec@5 92.969 (87.034) Epoch: [85][5540/10010] Time 0.334 (0.328) Data 0.001 (0.001) Loss 1.2774 (1.3457) Prec@1 65.625 (68.670) Prec@5 89.062 (87.039) Epoch: [85][5550/10010] Time 0.320 (0.328) Data 0.001 (0.001) Loss 1.3165 (1.3456) Prec@1 71.094 (68.671) Prec@5 86.719 (87.041) Epoch: [85][5560/10010] Time 0.340 (0.328) Data 0.001 (0.001) Loss 1.1848 (1.3456) Prec@1 73.438 (68.671) Prec@5 88.281 (87.043) Epoch: [85][5570/10010] Time 0.322 (0.328) Data 0.001 (0.001) Loss 1.2052 (1.3456) Prec@1 68.750 (68.667) Prec@5 89.062 (87.041) Epoch: [85][5580/10010] Time 0.329 (0.328) Data 0.001 (0.001) Loss 1.3319 (1.3457) Prec@1 71.875 (68.669) Prec@5 88.281 (87.041) Epoch: [85][5590/10010] Time 0.322 (0.328) Data 0.000 (0.001) Loss 1.3976 (1.3455) Prec@1 64.844 (68.671) Prec@5 84.375 (87.044) Epoch: [85][5600/10010] Time 0.314 (0.328) Data 0.001 (0.001) Loss 1.2757 (1.3456) Prec@1 69.531 (68.671) Prec@5 89.062 (87.041) Epoch: [85][5610/10010] Time 0.334 (0.328) Data 0.000 (0.001) Loss 1.6906 (1.3456) Prec@1 57.812 (68.670) Prec@5 84.375 (87.042) Epoch: [85][5620/10010] Time 0.338 (0.328) Data 0.001 (0.001) Loss 1.2983 (1.3458) Prec@1 70.312 (68.668) Prec@5 85.938 (87.039) Epoch: [85][5630/10010] Time 0.334 (0.328) Data 0.001 (0.001) Loss 1.3807 (1.3458) Prec@1 67.188 (68.667) Prec@5 85.156 (87.040) Epoch: [85][5640/10010] Time 0.317 (0.328) Data 0.000 (0.001) Loss 1.3208 (1.3459) Prec@1 67.188 (68.666) Prec@5 88.281 (87.039) Epoch: [85][5650/10010] Time 0.339 (0.328) Data 0.001 (0.001) Loss 1.1104 (1.3458) Prec@1 72.656 (68.667) Prec@5 89.844 (87.039) Epoch: [85][5660/10010] Time 0.323 (0.328) Data 0.001 (0.001) Loss 1.0998 (1.3456) Prec@1 69.531 (68.668) Prec@5 91.406 (87.041) Epoch: [85][5670/10010] Time 0.334 (0.328) Data 0.001 (0.001) Loss 1.2695 (1.3456) Prec@1 70.312 (68.668) Prec@5 87.500 (87.041) Epoch: [85][5680/10010] Time 0.333 (0.328) Data 0.001 (0.001) Loss 1.3117 (1.3457) Prec@1 71.094 (68.667) Prec@5 85.938 (87.038) Epoch: [85][5690/10010] Time 0.320 (0.328) Data 0.000 (0.001) Loss 1.1784 (1.3456) Prec@1 76.562 (68.668) Prec@5 87.500 (87.038) Epoch: [85][5700/10010] Time 0.338 (0.328) Data 0.000 (0.001) Loss 1.6307 (1.3457) Prec@1 60.938 (68.665) Prec@5 84.375 (87.037) Epoch: [85][5710/10010] Time 0.341 (0.328) Data 0.000 (0.001) Loss 1.3006 (1.3456) Prec@1 67.969 (68.665) Prec@5 89.062 (87.037) Epoch: [85][5720/10010] Time 0.332 (0.328) Data 0.001 (0.001) Loss 1.3489 (1.3455) Prec@1 72.656 (68.669) Prec@5 86.719 (87.040) Epoch: [85][5730/10010] Time 0.341 (0.328) Data 0.000 (0.001) Loss 1.3002 (1.3456) Prec@1 69.531 (68.668) Prec@5 89.062 (87.038) Epoch: [85][5740/10010] Time 0.322 (0.328) Data 0.001 (0.001) Loss 1.2638 (1.3455) Prec@1 71.094 (68.670) Prec@5 88.281 (87.041) Epoch: [85][5750/10010] Time 0.322 (0.328) Data 0.001 (0.001) Loss 1.5798 (1.3456) Prec@1 60.156 (68.667) Prec@5 86.719 (87.040) Epoch: [85][5760/10010] Time 0.338 (0.328) Data 0.001 (0.001) Loss 1.6536 (1.3457) Prec@1 67.969 (68.666) Prec@5 78.906 (87.039) Epoch: [85][5770/10010] Time 0.318 (0.328) Data 0.001 (0.001) Loss 1.1915 (1.3456) Prec@1 64.062 (68.666) Prec@5 91.406 (87.040) Epoch: [85][5780/10010] Time 0.334 (0.328) Data 0.001 (0.001) Loss 1.4868 (1.3456) Prec@1 67.969 (68.667) Prec@5 87.500 (87.041) Epoch: [85][5790/10010] Time 0.319 (0.328) Data 0.001 (0.001) Loss 1.4850 (1.3455) Prec@1 65.625 (68.670) Prec@5 82.812 (87.044) Epoch: [85][5800/10010] Time 0.320 (0.328) Data 0.001 (0.001) Loss 1.1684 (1.3454) Prec@1 71.875 (68.672) Prec@5 90.625 (87.046) Epoch: [85][5810/10010] Time 0.320 (0.328) Data 0.000 (0.001) Loss 1.6087 (1.3454) Prec@1 64.844 (68.672) Prec@5 78.906 (87.044) Epoch: [85][5820/10010] Time 0.321 (0.328) Data 0.001 (0.001) Loss 1.3568 (1.3455) Prec@1 69.531 (68.669) Prec@5 86.719 (87.042) Epoch: [85][5830/10010] Time 0.313 (0.328) Data 0.001 (0.001) Loss 1.5876 (1.3455) Prec@1 67.188 (68.669) Prec@5 82.812 (87.044) Epoch: [85][5840/10010] Time 0.333 (0.328) Data 0.001 (0.001) Loss 1.3863 (1.3456) Prec@1 71.094 (68.665) Prec@5 84.375 (87.041) Epoch: [85][5850/10010] Time 0.337 (0.328) Data 0.001 (0.001) Loss 1.2290 (1.3455) Prec@1 67.969 (68.665) Prec@5 89.844 (87.043) Epoch: [85][5860/10010] Time 0.333 (0.328) Data 0.001 (0.001) Loss 1.4465 (1.3455) Prec@1 60.938 (68.665) Prec@5 88.281 (87.043) Epoch: [85][5870/10010] Time 0.335 (0.328) Data 0.001 (0.001) Loss 1.1267 (1.3457) Prec@1 70.312 (68.662) Prec@5 89.844 (87.040) Epoch: [85][5880/10010] Time 0.313 (0.328) Data 0.001 (0.001) Loss 1.5879 (1.3458) Prec@1 66.406 (68.659) Prec@5 82.031 (87.037) Epoch: [85][5890/10010] Time 0.327 (0.328) Data 0.001 (0.001) Loss 1.0910 (1.3457) Prec@1 75.781 (68.661) Prec@5 89.844 (87.040) Epoch: [85][5900/10010] Time 0.339 (0.328) Data 0.000 (0.001) Loss 1.5079 (1.3456) Prec@1 63.281 (68.663) Prec@5 85.156 (87.043) Epoch: [85][5910/10010] Time 0.327 (0.328) Data 0.001 (0.001) Loss 1.4422 (1.3456) Prec@1 70.312 (68.664) Prec@5 85.156 (87.044) Epoch: [85][5920/10010] Time 0.325 (0.328) Data 0.000 (0.001) Loss 1.3051 (1.3455) Prec@1 67.969 (68.662) Prec@5 85.938 (87.044) Epoch: [85][5930/10010] Time 0.327 (0.328) Data 0.000 (0.001) Loss 1.1636 (1.3455) Prec@1 75.000 (68.664) Prec@5 85.938 (87.043) Epoch: [85][5940/10010] Time 0.333 (0.328) Data 0.000 (0.001) Loss 1.4051 (1.3455) Prec@1 70.312 (68.664) Prec@5 85.156 (87.043) Epoch: [85][5950/10010] Time 0.329 (0.328) Data 0.000 (0.001) Loss 1.3815 (1.3455) Prec@1 67.969 (68.665) Prec@5 87.500 (87.043) Epoch: [85][5960/10010] Time 0.334 (0.328) Data 0.001 (0.001) Loss 1.3371 (1.3455) Prec@1 68.750 (68.664) Prec@5 89.062 (87.043) Epoch: [85][5970/10010] Time 0.321 (0.328) Data 0.001 (0.001) Loss 1.4531 (1.3455) Prec@1 64.844 (68.665) Prec@5 85.938 (87.043) Epoch: [85][5980/10010] Time 0.341 (0.328) Data 0.001 (0.001) Loss 1.2410 (1.3456) Prec@1 70.312 (68.663) Prec@5 87.500 (87.042) Epoch: [85][5990/10010] Time 0.317 (0.328) Data 0.001 (0.001) Loss 1.5520 (1.3456) Prec@1 67.188 (68.664) Prec@5 84.375 (87.042) Epoch: [85][6000/10010] Time 0.335 (0.328) Data 0.001 (0.001) Loss 1.2489 (1.3456) Prec@1 71.094 (68.663) Prec@5 91.406 (87.042) Epoch: [85][6010/10010] Time 0.318 (0.328) Data 0.001 (0.001) Loss 1.3637 (1.3456) Prec@1 71.875 (68.663) Prec@5 86.719 (87.040) Epoch: [85][6020/10010] Time 0.333 (0.328) Data 0.001 (0.001) Loss 1.3277 (1.3456) Prec@1 70.312 (68.662) Prec@5 86.719 (87.041) Epoch: [85][6030/10010] Time 0.340 (0.328) Data 0.000 (0.001) Loss 1.4379 (1.3454) Prec@1 66.406 (68.664) Prec@5 86.719 (87.045) Epoch: [85][6040/10010] Time 0.315 (0.328) Data 0.001 (0.001) Loss 1.0946 (1.3454) Prec@1 75.781 (68.666) Prec@5 92.188 (87.045) Epoch: [85][6050/10010] Time 0.326 (0.328) Data 0.001 (0.001) Loss 1.0888 (1.3453) Prec@1 74.219 (68.668) Prec@5 91.406 (87.048) Epoch: [85][6060/10010] Time 0.344 (0.328) Data 0.000 (0.001) Loss 1.3892 (1.3454) Prec@1 67.188 (68.665) Prec@5 85.938 (87.046) Epoch: [85][6070/10010] Time 0.337 (0.328) Data 0.001 (0.001) Loss 1.4725 (1.3455) Prec@1 64.844 (68.664) Prec@5 86.719 (87.045) Epoch: [85][6080/10010] Time 0.314 (0.328) Data 0.001 (0.001) Loss 1.3406 (1.3454) Prec@1 70.312 (68.664) Prec@5 88.281 (87.046) Epoch: [85][6090/10010] Time 0.332 (0.328) Data 0.001 (0.001) Loss 1.2380 (1.3454) Prec@1 68.750 (68.663) Prec@5 91.406 (87.048) Epoch: [85][6100/10010] Time 0.339 (0.328) Data 0.000 (0.001) Loss 1.3100 (1.3455) Prec@1 68.750 (68.659) Prec@5 86.719 (87.043) Epoch: [85][6110/10010] Time 0.313 (0.328) Data 0.001 (0.001) Loss 1.3772 (1.3455) Prec@1 71.875 (68.660) Prec@5 85.938 (87.043) Epoch: [85][6120/10010] Time 0.326 (0.328) Data 0.001 (0.001) Loss 1.1585 (1.3454) Prec@1 72.656 (68.662) Prec@5 87.500 (87.044) Epoch: [85][6130/10010] Time 0.336 (0.328) Data 0.000 (0.001) Loss 1.3524 (1.3455) Prec@1 68.750 (68.662) Prec@5 90.625 (87.042) Epoch: [85][6140/10010] Time 0.338 (0.328) Data 0.001 (0.001) Loss 1.3632 (1.3455) Prec@1 66.406 (68.662) Prec@5 89.844 (87.043) Epoch: [85][6150/10010] Time 0.328 (0.328) Data 0.000 (0.001) Loss 1.3638 (1.3455) Prec@1 65.625 (68.663) Prec@5 87.500 (87.044) Epoch: [85][6160/10010] Time 0.338 (0.328) Data 0.001 (0.001) Loss 1.1605 (1.3454) Prec@1 75.000 (68.665) Prec@5 86.719 (87.046) Epoch: [85][6170/10010] Time 0.316 (0.328) Data 0.001 (0.001) Loss 1.3213 (1.3454) Prec@1 66.406 (68.665) Prec@5 87.500 (87.046) Epoch: [85][6180/10010] Time 0.336 (0.328) Data 0.000 (0.001) Loss 1.3014 (1.3454) Prec@1 67.969 (68.665) Prec@5 92.188 (87.047) Epoch: [85][6190/10010] Time 0.324 (0.328) Data 0.001 (0.001) Loss 1.2610 (1.3453) Prec@1 69.531 (68.667) Prec@5 88.281 (87.049) Epoch: [85][6200/10010] Time 0.334 (0.328) Data 0.000 (0.001) Loss 1.5125 (1.3455) Prec@1 67.188 (68.662) Prec@5 85.156 (87.046) Epoch: [85][6210/10010] Time 0.323 (0.328) Data 0.001 (0.001) Loss 1.3824 (1.3454) Prec@1 64.062 (68.663) Prec@5 86.719 (87.048) Epoch: [85][6220/10010] Time 0.340 (0.328) Data 0.000 (0.001) Loss 1.6755 (1.3456) Prec@1 64.844 (68.661) Prec@5 80.469 (87.045) Epoch: [85][6230/10010] Time 0.323 (0.328) Data 0.001 (0.001) Loss 1.4479 (1.3457) Prec@1 70.312 (68.663) Prec@5 84.375 (87.045) Epoch: [85][6240/10010] Time 0.328 (0.328) Data 0.001 (0.001) Loss 1.2479 (1.3456) Prec@1 67.188 (68.664) Prec@5 89.844 (87.045) Epoch: [85][6250/10010] Time 0.336 (0.328) Data 0.001 (0.001) Loss 1.3813 (1.3456) Prec@1 66.406 (68.664) Prec@5 88.281 (87.047) Epoch: [85][6260/10010] Time 0.322 (0.328) Data 0.000 (0.001) Loss 1.2008 (1.3454) Prec@1 72.656 (68.669) Prec@5 90.625 (87.051) Epoch: [85][6270/10010] Time 0.316 (0.328) Data 0.001 (0.001) Loss 1.4875 (1.3454) Prec@1 67.969 (68.668) Prec@5 85.156 (87.050) Epoch: [85][6280/10010] Time 0.341 (0.328) Data 0.001 (0.001) Loss 1.3981 (1.3455) Prec@1 67.188 (68.668) Prec@5 85.156 (87.051) Epoch: [85][6290/10010] Time 0.321 (0.328) Data 0.001 (0.001) Loss 1.2306 (1.3455) Prec@1 71.875 (68.667) Prec@5 88.281 (87.049) Epoch: [85][6300/10010] Time 0.332 (0.328) Data 0.001 (0.001) Loss 1.5927 (1.3455) Prec@1 65.625 (68.665) Prec@5 86.719 (87.048) Epoch: [85][6310/10010] Time 0.335 (0.328) Data 0.001 (0.001) Loss 1.1488 (1.3456) Prec@1 71.875 (68.662) Prec@5 89.062 (87.047) Epoch: [85][6320/10010] Time 0.325 (0.328) Data 0.001 (0.001) Loss 1.2655 (1.3455) Prec@1 72.656 (68.663) Prec@5 85.156 (87.049) Epoch: [85][6330/10010] Time 0.317 (0.328) Data 0.001 (0.001) Loss 1.4356 (1.3455) Prec@1 64.062 (68.663) Prec@5 85.938 (87.050) Epoch: [85][6340/10010] Time 0.330 (0.328) Data 0.001 (0.001) Loss 1.2207 (1.3452) Prec@1 69.531 (68.666) Prec@5 89.844 (87.054) Epoch: [85][6350/10010] Time 0.320 (0.328) Data 0.001 (0.001) Loss 1.1809 (1.3452) Prec@1 71.094 (68.667) Prec@5 89.844 (87.055) Epoch: [85][6360/10010] Time 0.317 (0.328) Data 0.001 (0.001) Loss 1.3377 (1.3453) Prec@1 69.531 (68.663) Prec@5 86.719 (87.051) Epoch: [85][6370/10010] Time 0.312 (0.328) Data 0.001 (0.001) Loss 1.3812 (1.3454) Prec@1 68.750 (68.663) Prec@5 85.156 (87.050) Epoch: [85][6380/10010] Time 0.320 (0.328) Data 0.001 (0.001) Loss 1.3115 (1.3452) Prec@1 67.969 (68.668) Prec@5 85.938 (87.052) Epoch: [85][6390/10010] Time 0.337 (0.328) Data 0.001 (0.001) Loss 1.0295 (1.3450) Prec@1 72.656 (68.671) Prec@5 91.406 (87.053) Epoch: [85][6400/10010] Time 0.331 (0.328) Data 0.001 (0.001) Loss 1.4131 (1.3451) Prec@1 67.188 (68.667) Prec@5 86.719 (87.053) Epoch: [85][6410/10010] Time 0.318 (0.328) Data 0.001 (0.001) Loss 1.5603 (1.3451) Prec@1 66.406 (68.668) Prec@5 78.906 (87.052) Epoch: [85][6420/10010] Time 0.339 (0.328) Data 0.001 (0.001) Loss 1.3959 (1.3451) Prec@1 63.281 (68.668) Prec@5 86.719 (87.053) Epoch: [85][6430/10010] Time 0.320 (0.328) Data 0.001 (0.001) Loss 1.8498 (1.3450) Prec@1 57.031 (68.668) Prec@5 82.812 (87.054) Epoch: [85][6440/10010] Time 0.324 (0.328) Data 0.001 (0.001) Loss 1.4055 (1.3449) Prec@1 64.062 (68.669) Prec@5 89.062 (87.056) Epoch: [85][6450/10010] Time 0.339 (0.328) Data 0.001 (0.001) Loss 1.0625 (1.3448) Prec@1 70.312 (68.670) Prec@5 92.969 (87.057) Epoch: [85][6460/10010] Time 0.332 (0.328) Data 0.001 (0.001) Loss 1.0987 (1.3448) Prec@1 76.562 (68.671) Prec@5 89.844 (87.057) Epoch: [85][6470/10010] Time 0.315 (0.328) Data 0.001 (0.001) Loss 1.5223 (1.3449) Prec@1 64.062 (68.669) Prec@5 84.375 (87.055) Epoch: [85][6480/10010] Time 0.329 (0.328) Data 0.001 (0.001) Loss 1.3064 (1.3449) Prec@1 68.750 (68.668) Prec@5 86.719 (87.053) Epoch: [85][6490/10010] Time 0.337 (0.328) Data 0.001 (0.001) Loss 1.4942 (1.3449) Prec@1 64.062 (68.669) Prec@5 87.500 (87.054) Epoch: [85][6500/10010] Time 0.332 (0.328) Data 0.001 (0.001) Loss 1.3117 (1.3450) Prec@1 71.875 (68.670) Prec@5 88.281 (87.053) Epoch: [85][6510/10010] Time 0.311 (0.328) Data 0.001 (0.001) Loss 1.4171 (1.3449) Prec@1 65.625 (68.670) Prec@5 86.719 (87.053) Epoch: [85][6520/10010] Time 0.316 (0.328) Data 0.001 (0.001) Loss 1.4012 (1.3450) Prec@1 63.281 (68.668) Prec@5 85.938 (87.051) Epoch: [85][6530/10010] Time 0.338 (0.328) Data 0.000 (0.001) Loss 1.5227 (1.3451) Prec@1 64.062 (68.666) Prec@5 85.938 (87.050) Epoch: [85][6540/10010] Time 0.320 (0.328) Data 0.000 (0.001) Loss 1.2773 (1.3450) Prec@1 68.750 (68.669) Prec@5 89.062 (87.050) Epoch: [85][6550/10010] Time 0.319 (0.328) Data 0.001 (0.001) Loss 1.0237 (1.3450) Prec@1 71.094 (68.668) Prec@5 90.625 (87.049) Epoch: [85][6560/10010] Time 0.318 (0.328) Data 0.001 (0.001) Loss 1.6253 (1.3449) Prec@1 62.500 (68.670) Prec@5 81.250 (87.050) Epoch: [85][6570/10010] Time 0.320 (0.328) Data 0.001 (0.001) Loss 1.1425 (1.3449) Prec@1 65.625 (68.669) Prec@5 89.062 (87.050) Epoch: [85][6580/10010] Time 0.341 (0.328) Data 0.000 (0.001) Loss 1.5034 (1.3449) Prec@1 64.844 (68.669) Prec@5 83.594 (87.052) Epoch: [85][6590/10010] Time 0.342 (0.328) Data 0.001 (0.001) Loss 1.5435 (1.3449) Prec@1 67.188 (68.670) Prec@5 82.812 (87.051) Epoch: [85][6600/10010] Time 0.322 (0.328) Data 0.000 (0.001) Loss 1.9088 (1.3449) Prec@1 62.500 (68.670) Prec@5 78.906 (87.051) Epoch: [85][6610/10010] Time 0.329 (0.328) Data 0.001 (0.001) Loss 1.3782 (1.3449) Prec@1 70.312 (68.671) Prec@5 85.156 (87.050) Epoch: [85][6620/10010] Time 0.333 (0.328) Data 0.001 (0.001) Loss 1.7380 (1.3449) Prec@1 57.812 (68.671) Prec@5 80.469 (87.048) Epoch: [85][6630/10010] Time 0.321 (0.328) Data 0.001 (0.001) Loss 1.2317 (1.3450) Prec@1 67.969 (68.670) Prec@5 89.062 (87.047) Epoch: [85][6640/10010] Time 0.325 (0.328) Data 0.001 (0.001) Loss 1.3869 (1.3449) Prec@1 68.750 (68.674) Prec@5 85.938 (87.049) Epoch: [85][6650/10010] Time 0.335 (0.328) Data 0.001 (0.001) Loss 1.1882 (1.3448) Prec@1 71.094 (68.678) Prec@5 89.062 (87.051) Epoch: [85][6660/10010] Time 0.317 (0.328) Data 0.001 (0.001) Loss 1.3445 (1.3447) Prec@1 71.875 (68.677) Prec@5 85.156 (87.050) Epoch: [85][6670/10010] Time 0.332 (0.328) Data 0.001 (0.001) Loss 1.6318 (1.3448) Prec@1 63.281 (68.678) Prec@5 84.375 (87.050) Epoch: [85][6680/10010] Time 0.324 (0.328) Data 0.001 (0.001) Loss 1.5788 (1.3449) Prec@1 62.500 (68.677) Prec@5 86.719 (87.050) Epoch: [85][6690/10010] Time 0.341 (0.328) Data 0.001 (0.001) Loss 1.3029 (1.3450) Prec@1 69.531 (68.675) Prec@5 86.719 (87.048) Epoch: [85][6700/10010] Time 0.321 (0.328) Data 0.000 (0.001) Loss 1.3239 (1.3449) Prec@1 70.312 (68.675) Prec@5 88.281 (87.050) Epoch: [85][6710/10010] Time 0.341 (0.328) Data 0.001 (0.001) Loss 1.4128 (1.3450) Prec@1 66.406 (68.672) Prec@5 84.375 (87.048) Epoch: [85][6720/10010] Time 0.323 (0.328) Data 0.000 (0.001) Loss 1.3248 (1.3451) Prec@1 71.094 (68.670) Prec@5 86.719 (87.048) Epoch: [85][6730/10010] Time 0.329 (0.328) Data 0.001 (0.001) Loss 1.6209 (1.3451) Prec@1 63.281 (68.667) Prec@5 82.812 (87.047) Epoch: [85][6740/10010] Time 0.317 (0.328) Data 0.001 (0.001) Loss 1.4076 (1.3451) Prec@1 68.750 (68.669) Prec@5 80.469 (87.048) Epoch: [85][6750/10010] Time 0.317 (0.328) Data 0.001 (0.001) Loss 1.3413 (1.3452) Prec@1 69.531 (68.669) Prec@5 84.375 (87.045) Epoch: [85][6760/10010] Time 0.339 (0.328) Data 0.001 (0.001) Loss 1.4568 (1.3452) Prec@1 69.531 (68.668) Prec@5 83.594 (87.044) Epoch: [85][6770/10010] Time 0.337 (0.328) Data 0.000 (0.001) Loss 1.4660 (1.3453) Prec@1 66.406 (68.664) Prec@5 85.156 (87.043) Epoch: [85][6780/10010] Time 0.314 (0.328) Data 0.001 (0.001) Loss 1.1035 (1.3452) Prec@1 70.312 (68.666) Prec@5 91.406 (87.044) Epoch: [85][6790/10010] Time 0.316 (0.328) Data 0.001 (0.001) Loss 1.3655 (1.3452) Prec@1 67.188 (68.664) Prec@5 87.500 (87.044) Epoch: [85][6800/10010] Time 0.319 (0.328) Data 0.001 (0.001) Loss 1.1227 (1.3452) Prec@1 76.562 (68.664) Prec@5 92.188 (87.046) Epoch: [85][6810/10010] Time 0.329 (0.328) Data 0.001 (0.001) Loss 1.4746 (1.3452) Prec@1 66.406 (68.664) Prec@5 88.281 (87.047) Epoch: [85][6820/10010] Time 0.323 (0.328) Data 0.000 (0.001) Loss 1.2976 (1.3452) Prec@1 69.531 (68.665) Prec@5 88.281 (87.048) Epoch: [85][6830/10010] Time 0.324 (0.328) Data 0.000 (0.001) Loss 1.6050 (1.3452) Prec@1 64.844 (68.666) Prec@5 83.594 (87.049) Epoch: [85][6840/10010] Time 0.310 (0.328) Data 0.001 (0.001) Loss 1.7657 (1.3452) Prec@1 63.281 (68.666) Prec@5 81.250 (87.048) Epoch: [85][6850/10010] Time 0.340 (0.328) Data 0.000 (0.001) Loss 1.5661 (1.3452) Prec@1 66.406 (68.664) Prec@5 84.375 (87.047) Epoch: [85][6860/10010] Time 0.341 (0.328) Data 0.001 (0.001) Loss 1.6038 (1.3452) Prec@1 67.188 (68.664) Prec@5 85.156 (87.047) Epoch: [85][6870/10010] Time 0.333 (0.328) Data 0.001 (0.001) Loss 1.4609 (1.3453) Prec@1 67.188 (68.663) Prec@5 85.156 (87.046) Epoch: [85][6880/10010] Time 0.333 (0.328) Data 0.001 (0.001) Loss 1.4389 (1.3454) Prec@1 65.625 (68.664) Prec@5 85.156 (87.046) Epoch: [85][6890/10010] Time 0.322 (0.328) Data 0.001 (0.001) Loss 1.1997 (1.3452) Prec@1 72.656 (68.667) Prec@5 92.188 (87.048) Epoch: [85][6900/10010] Time 0.341 (0.328) Data 0.000 (0.001) Loss 1.1929 (1.3451) Prec@1 71.875 (68.668) Prec@5 91.406 (87.052) Epoch: [85][6910/10010] Time 0.342 (0.328) Data 0.001 (0.001) Loss 1.3510 (1.3451) Prec@1 65.625 (68.667) Prec@5 85.938 (87.051) Epoch: [85][6920/10010] Time 0.329 (0.328) Data 0.001 (0.001) Loss 1.1107 (1.3451) Prec@1 71.094 (68.668) Prec@5 94.531 (87.053) Epoch: [85][6930/10010] Time 0.339 (0.328) Data 0.001 (0.001) Loss 1.3565 (1.3450) Prec@1 72.656 (68.668) Prec@5 87.500 (87.053) Epoch: [85][6940/10010] Time 0.327 (0.328) Data 0.000 (0.001) Loss 1.5426 (1.3451) Prec@1 64.062 (68.669) Prec@5 84.375 (87.051) Epoch: [85][6950/10010] Time 0.331 (0.328) Data 0.001 (0.001) Loss 1.2033 (1.3451) Prec@1 73.438 (68.668) Prec@5 89.062 (87.051) Epoch: [85][6960/10010] Time 0.337 (0.328) Data 0.001 (0.001) Loss 1.0503 (1.3451) Prec@1 74.219 (68.667) Prec@5 92.188 (87.051) Epoch: [85][6970/10010] Time 0.336 (0.328) Data 0.000 (0.001) Loss 1.4856 (1.3451) Prec@1 67.969 (68.668) Prec@5 86.719 (87.051) Epoch: [85][6980/10010] Time 0.321 (0.328) Data 0.001 (0.001) Loss 1.3512 (1.3451) Prec@1 70.312 (68.668) Prec@5 87.500 (87.052) Epoch: [85][6990/10010] Time 0.340 (0.328) Data 0.001 (0.001) Loss 1.3669 (1.3452) Prec@1 65.625 (68.668) Prec@5 87.500 (87.051) Epoch: [85][7000/10010] Time 0.338 (0.328) Data 0.001 (0.001) Loss 1.1262 (1.3451) Prec@1 74.219 (68.670) Prec@5 90.625 (87.051) Epoch: [85][7010/10010] Time 0.341 (0.328) Data 0.001 (0.001) Loss 1.1930 (1.3452) Prec@1 75.000 (68.667) Prec@5 89.062 (87.050) Epoch: [85][7020/10010] Time 0.334 (0.328) Data 0.001 (0.001) Loss 1.4607 (1.3452) Prec@1 70.312 (68.668) Prec@5 83.594 (87.050) Epoch: [85][7030/10010] Time 0.328 (0.328) Data 0.001 (0.001) Loss 1.1664 (1.3451) Prec@1 72.656 (68.669) Prec@5 88.281 (87.050) Epoch: [85][7040/10010] Time 0.339 (0.328) Data 0.000 (0.001) Loss 1.3223 (1.3451) Prec@1 68.750 (68.669) Prec@5 89.062 (87.049) Epoch: [85][7050/10010] Time 0.335 (0.328) Data 0.001 (0.001) Loss 1.2406 (1.3452) Prec@1 70.312 (68.667) Prec@5 90.625 (87.048) Epoch: [85][7060/10010] Time 0.316 (0.328) Data 0.001 (0.001) Loss 1.1318 (1.3449) Prec@1 76.562 (68.672) Prec@5 88.281 (87.051) Epoch: [85][7070/10010] Time 0.332 (0.328) Data 0.001 (0.001) Loss 1.4758 (1.3449) Prec@1 58.594 (68.670) Prec@5 85.938 (87.051) Epoch: [85][7080/10010] Time 0.318 (0.328) Data 0.001 (0.001) Loss 1.2011 (1.3448) Prec@1 71.875 (68.672) Prec@5 91.406 (87.052) Epoch: [85][7090/10010] Time 0.337 (0.328) Data 0.001 (0.001) Loss 1.0296 (1.3447) Prec@1 75.781 (68.673) Prec@5 89.844 (87.051) Epoch: [85][7100/10010] Time 0.334 (0.328) Data 0.000 (0.001) Loss 1.3423 (1.3446) Prec@1 69.531 (68.677) Prec@5 86.719 (87.054) Epoch: [85][7110/10010] Time 0.339 (0.328) Data 0.001 (0.001) Loss 1.5960 (1.3447) Prec@1 62.500 (68.675) Prec@5 83.594 (87.053) Epoch: [85][7120/10010] Time 0.327 (0.328) Data 0.001 (0.001) Loss 1.4488 (1.3447) Prec@1 67.188 (68.675) Prec@5 86.719 (87.053) Epoch: [85][7130/10010] Time 0.338 (0.328) Data 0.001 (0.001) Loss 1.5477 (1.3446) Prec@1 61.719 (68.676) Prec@5 84.375 (87.053) Epoch: [85][7140/10010] Time 0.331 (0.328) Data 0.001 (0.001) Loss 1.5291 (1.3447) Prec@1 59.375 (68.675) Prec@5 85.938 (87.052) Epoch: [85][7150/10010] Time 0.341 (0.328) Data 0.001 (0.001) Loss 1.1567 (1.3446) Prec@1 71.875 (68.679) Prec@5 89.062 (87.054) Epoch: [85][7160/10010] Time 0.330 (0.328) Data 0.001 (0.001) Loss 1.4118 (1.3446) Prec@1 66.406 (68.680) Prec@5 89.062 (87.055) Epoch: [85][7170/10010] Time 0.320 (0.328) Data 0.001 (0.001) Loss 1.3210 (1.3446) Prec@1 69.531 (68.681) Prec@5 88.281 (87.056) Epoch: [85][7180/10010] Time 0.322 (0.328) Data 0.001 (0.001) Loss 1.7122 (1.3445) Prec@1 62.500 (68.683) Prec@5 84.375 (87.057) Epoch: [85][7190/10010] Time 0.341 (0.328) Data 0.000 (0.001) Loss 1.2548 (1.3445) Prec@1 65.625 (68.682) Prec@5 92.969 (87.058) Epoch: [85][7200/10010] Time 0.316 (0.328) Data 0.001 (0.001) Loss 1.6889 (1.3447) Prec@1 67.969 (68.682) Prec@5 82.031 (87.055) Epoch: [85][7210/10010] Time 0.339 (0.328) Data 0.001 (0.001) Loss 1.7347 (1.3447) Prec@1 62.500 (68.681) Prec@5 78.125 (87.054) Epoch: [85][7220/10010] Time 0.338 (0.328) Data 0.000 (0.001) Loss 1.6379 (1.3447) Prec@1 67.969 (68.685) Prec@5 82.812 (87.054) Epoch: [85][7230/10010] Time 0.317 (0.328) Data 0.001 (0.001) Loss 1.2708 (1.3447) Prec@1 66.406 (68.684) Prec@5 89.062 (87.055) Epoch: [85][7240/10010] Time 0.340 (0.328) Data 0.001 (0.001) Loss 1.5547 (1.3447) Prec@1 64.062 (68.684) Prec@5 82.812 (87.055) Epoch: [85][7250/10010] Time 0.340 (0.328) Data 0.000 (0.001) Loss 1.4500 (1.3446) Prec@1 68.750 (68.685) Prec@5 85.156 (87.057) Epoch: [85][7260/10010] Time 0.340 (0.328) Data 0.000 (0.001) Loss 1.4421 (1.3446) Prec@1 65.625 (68.685) Prec@5 85.156 (87.058) Epoch: [85][7270/10010] Time 0.314 (0.328) Data 0.001 (0.001) Loss 1.1647 (1.3445) Prec@1 67.188 (68.686) Prec@5 88.281 (87.058) Epoch: [85][7280/10010] Time 0.335 (0.328) Data 0.001 (0.001) Loss 1.1481 (1.3444) Prec@1 69.531 (68.687) Prec@5 89.844 (87.058) Epoch: [85][7290/10010] Time 0.330 (0.328) Data 0.000 (0.001) Loss 1.3115 (1.3444) Prec@1 70.312 (68.688) Prec@5 89.844 (87.058) Epoch: [85][7300/10010] Time 0.317 (0.328) Data 0.001 (0.001) Loss 1.4503 (1.3444) Prec@1 63.281 (68.688) Prec@5 85.938 (87.059) Epoch: [85][7310/10010] Time 0.319 (0.328) Data 0.001 (0.001) Loss 1.2252 (1.3443) Prec@1 71.875 (68.688) Prec@5 89.062 (87.060) Epoch: [85][7320/10010] Time 0.339 (0.328) Data 0.000 (0.001) Loss 1.3380 (1.3443) Prec@1 64.062 (68.688) Prec@5 87.500 (87.060) Epoch: [85][7330/10010] Time 0.322 (0.328) Data 0.000 (0.001) Loss 1.4893 (1.3444) Prec@1 63.281 (68.685) Prec@5 85.938 (87.059) Epoch: [85][7340/10010] Time 0.318 (0.328) Data 0.001 (0.001) Loss 1.4617 (1.3444) Prec@1 68.750 (68.686) Prec@5 89.062 (87.060) Epoch: [85][7350/10010] Time 0.322 (0.328) Data 0.001 (0.001) Loss 1.5057 (1.3443) Prec@1 68.750 (68.689) Prec@5 83.594 (87.061) Epoch: [85][7360/10010] Time 0.338 (0.328) Data 0.001 (0.001) Loss 1.4540 (1.3444) Prec@1 64.062 (68.686) Prec@5 85.156 (87.060) Epoch: [85][7370/10010] Time 0.341 (0.328) Data 0.001 (0.001) Loss 1.6494 (1.3444) Prec@1 58.594 (68.687) Prec@5 83.594 (87.060) Epoch: [85][7380/10010] Time 0.328 (0.328) Data 0.001 (0.001) Loss 1.6101 (1.3446) Prec@1 63.281 (68.682) Prec@5 82.031 (87.058) Epoch: [85][7390/10010] Time 0.327 (0.328) Data 0.000 (0.001) Loss 1.2567 (1.3446) Prec@1 71.875 (68.682) Prec@5 91.406 (87.057) Epoch: [85][7400/10010] Time 0.320 (0.328) Data 0.001 (0.001) Loss 1.3697 (1.3448) Prec@1 65.625 (68.677) Prec@5 88.281 (87.057) Epoch: [85][7410/10010] Time 0.319 (0.328) Data 0.000 (0.001) Loss 1.4852 (1.3448) Prec@1 60.156 (68.676) Prec@5 87.500 (87.057) Epoch: [85][7420/10010] Time 0.319 (0.328) Data 0.001 (0.001) Loss 1.4032 (1.3448) Prec@1 63.281 (68.675) Prec@5 84.375 (87.056) Epoch: [85][7430/10010] Time 0.341 (0.328) Data 0.000 (0.001) Loss 1.2345 (1.3448) Prec@1 69.531 (68.673) Prec@5 86.719 (87.055) Epoch: [85][7440/10010] Time 0.338 (0.328) Data 0.001 (0.001) Loss 1.4189 (1.3448) Prec@1 69.531 (68.673) Prec@5 87.500 (87.056) Epoch: [85][7450/10010] Time 0.339 (0.328) Data 0.000 (0.001) Loss 1.3573 (1.3448) Prec@1 71.094 (68.672) Prec@5 89.062 (87.056) Epoch: [85][7460/10010] Time 0.334 (0.328) Data 0.001 (0.001) Loss 1.4402 (1.3448) Prec@1 67.188 (68.671) Prec@5 85.938 (87.057) Epoch: [85][7470/10010] Time 0.314 (0.328) Data 0.001 (0.001) Loss 1.4290 (1.3448) Prec@1 67.969 (68.670) Prec@5 85.156 (87.057) Epoch: [85][7480/10010] Time 0.315 (0.328) Data 0.001 (0.001) Loss 1.0552 (1.3447) Prec@1 72.656 (68.672) Prec@5 91.406 (87.057) Epoch: [85][7490/10010] Time 0.320 (0.328) Data 0.001 (0.001) Loss 1.1308 (1.3447) Prec@1 69.531 (68.672) Prec@5 92.188 (87.057) Epoch: [85][7500/10010] Time 0.335 (0.328) Data 0.001 (0.001) Loss 1.3966 (1.3447) Prec@1 66.406 (68.669) Prec@5 85.938 (87.056) Epoch: [85][7510/10010] Time 0.341 (0.328) Data 0.001 (0.001) Loss 1.3798 (1.3448) Prec@1 67.188 (68.669) Prec@5 83.594 (87.056) Epoch: [85][7520/10010] Time 0.315 (0.328) Data 0.001 (0.001) Loss 1.4426 (1.3447) Prec@1 67.188 (68.670) Prec@5 84.375 (87.056) Epoch: [85][7530/10010] Time 0.329 (0.328) Data 0.001 (0.001) Loss 1.4041 (1.3448) Prec@1 64.062 (68.669) Prec@5 82.812 (87.054) Epoch: [85][7540/10010] Time 0.315 (0.328) Data 0.001 (0.001) Loss 1.3843 (1.3448) Prec@1 64.062 (68.670) Prec@5 88.281 (87.053) Epoch: [85][7550/10010] Time 0.333 (0.328) Data 0.001 (0.001) Loss 1.1629 (1.3447) Prec@1 72.656 (68.671) Prec@5 91.406 (87.055) Epoch: [85][7560/10010] Time 0.326 (0.328) Data 0.000 (0.001) Loss 1.2944 (1.3447) Prec@1 69.531 (68.671) Prec@5 91.406 (87.054) Epoch: [85][7570/10010] Time 0.336 (0.328) Data 0.001 (0.001) Loss 1.2256 (1.3447) Prec@1 69.531 (68.670) Prec@5 90.625 (87.055) Epoch: [85][7580/10010] Time 0.329 (0.328) Data 0.001 (0.001) Loss 1.1311 (1.3447) Prec@1 71.094 (68.670) Prec@5 91.406 (87.055) Epoch: [85][7590/10010] Time 0.319 (0.328) Data 0.001 (0.001) Loss 1.2887 (1.3447) Prec@1 73.438 (68.672) Prec@5 87.500 (87.056) Epoch: [85][7600/10010] Time 0.326 (0.328) Data 0.001 (0.001) Loss 1.4474 (1.3447) Prec@1 69.531 (68.673) Prec@5 85.156 (87.056) Epoch: [85][7610/10010] Time 0.323 (0.328) Data 0.001 (0.001) Loss 1.3016 (1.3448) Prec@1 71.094 (68.673) Prec@5 86.719 (87.055) Epoch: [85][7620/10010] Time 0.327 (0.328) Data 0.001 (0.001) Loss 1.4861 (1.3447) Prec@1 64.844 (68.672) Prec@5 85.156 (87.056) Epoch: [85][7630/10010] Time 0.323 (0.328) Data 0.000 (0.001) Loss 1.4967 (1.3446) Prec@1 67.188 (68.673) Prec@5 84.375 (87.056) Epoch: [85][7640/10010] Time 0.312 (0.328) Data 0.001 (0.001) Loss 1.2968 (1.3447) Prec@1 71.094 (68.671) Prec@5 82.812 (87.054) Epoch: [85][7650/10010] Time 0.324 (0.328) Data 0.001 (0.001) Loss 1.1702 (1.3448) Prec@1 73.438 (68.669) Prec@5 91.406 (87.053) Epoch: [85][7660/10010] Time 0.323 (0.328) Data 0.001 (0.001) Loss 1.3476 (1.3448) Prec@1 64.844 (68.667) Prec@5 85.156 (87.052) Epoch: [85][7670/10010] Time 0.337 (0.328) Data 0.001 (0.001) Loss 1.6108 (1.3449) Prec@1 64.844 (68.666) Prec@5 83.594 (87.052) Epoch: [85][7680/10010] Time 0.318 (0.328) Data 0.001 (0.001) Loss 1.5568 (1.3448) Prec@1 64.062 (68.668) Prec@5 86.719 (87.052) Epoch: [85][7690/10010] Time 0.342 (0.328) Data 0.000 (0.001) Loss 1.3252 (1.3449) Prec@1 68.750 (68.667) Prec@5 87.500 (87.051) Epoch: [85][7700/10010] Time 0.317 (0.328) Data 0.001 (0.001) Loss 1.5949 (1.3450) Prec@1 61.719 (68.663) Prec@5 83.594 (87.050) Epoch: [85][7710/10010] Time 0.332 (0.328) Data 0.000 (0.001) Loss 1.3208 (1.3449) Prec@1 67.969 (68.663) Prec@5 85.156 (87.051) Epoch: [85][7720/10010] Time 0.340 (0.328) Data 0.000 (0.001) Loss 1.2560 (1.3450) Prec@1 73.438 (68.663) Prec@5 87.500 (87.049) Epoch: [85][7730/10010] Time 0.319 (0.328) Data 0.000 (0.001) Loss 1.1879 (1.3449) Prec@1 69.531 (68.665) Prec@5 91.406 (87.051) Epoch: [85][7740/10010] Time 0.322 (0.328) Data 0.000 (0.001) Loss 1.6725 (1.3451) Prec@1 63.281 (68.663) Prec@5 81.250 (87.050) Epoch: [85][7750/10010] Time 0.334 (0.328) Data 0.000 (0.001) Loss 1.5861 (1.3450) Prec@1 64.844 (68.666) Prec@5 83.594 (87.049) Epoch: [85][7760/10010] Time 0.327 (0.328) Data 0.001 (0.001) Loss 1.5873 (1.3451) Prec@1 61.719 (68.665) Prec@5 84.375 (87.048) Epoch: [85][7770/10010] Time 0.326 (0.328) Data 0.000 (0.001) Loss 1.1490 (1.3451) Prec@1 71.094 (68.665) Prec@5 89.844 (87.050) Epoch: [85][7780/10010] Time 0.317 (0.328) Data 0.001 (0.001) Loss 1.3040 (1.3450) Prec@1 68.750 (68.668) Prec@5 89.062 (87.051) Epoch: [85][7790/10010] Time 0.327 (0.328) Data 0.001 (0.001) Loss 1.1326 (1.3450) Prec@1 69.531 (68.668) Prec@5 91.406 (87.051) Epoch: [85][7800/10010] Time 0.327 (0.328) Data 0.000 (0.001) Loss 1.4135 (1.3450) Prec@1 69.531 (68.666) Prec@5 82.812 (87.052) /data/vision/torralba/deepscene/lib/anaconda2/lib/python2.7/site-packages/PIL/TiffImagePlugin.py:692: UserWarning: Possibly corrupt EXIF data. Expecting to read 19660800 bytes but only got 0. Skipping tag 0 "Skipping tag %s" % (size, len(data), tag)) /data/vision/torralba/deepscene/lib/anaconda2/lib/python2.7/site-packages/PIL/TiffImagePlugin.py:692: UserWarning: Possibly corrupt EXIF data. Expecting to read 18481152 bytes but only got 0. Skipping tag 0 "Skipping tag %s" % (size, len(data), tag)) /data/vision/torralba/deepscene/lib/anaconda2/lib/python2.7/site-packages/PIL/TiffImagePlugin.py:692: UserWarning: Possibly corrupt EXIF data. Expecting to read 37093376 bytes but only got 0. Skipping tag 0 "Skipping tag %s" % (size, len(data), tag)) /data/vision/torralba/deepscene/lib/anaconda2/lib/python2.7/site-packages/PIL/TiffImagePlugin.py:692: UserWarning: Possibly corrupt EXIF data. Expecting to read 39976960 bytes but only got 0. Skipping tag 0 "Skipping tag %s" % (size, len(data), tag)) /data/vision/torralba/deepscene/lib/anaconda2/lib/python2.7/site-packages/PIL/TiffImagePlugin.py:692: UserWarning: Possibly corrupt EXIF data. Expecting to read 34865152 bytes but only got 0. Skipping tag 0 "Skipping tag %s" % (size, len(data), tag)) /data/vision/torralba/deepscene/lib/anaconda2/lib/python2.7/site-packages/PIL/TiffImagePlugin.py:709: UserWarning: Corrupt EXIF data. Expecting to read 12 bytes but only got 10. warnings.warn(str(msg)) Epoch: [85][7810/10010] Time 0.341 (0.328) Data 0.001 (0.001) Loss 1.4285 (1.3452) Prec@1 70.312 (68.664) Prec@5 84.375 (87.049) Epoch: [85][7820/10010] Time 0.330 (0.328) Data 0.001 (0.001) Loss 1.2142 (1.3452) Prec@1 75.000 (68.664) Prec@5 84.375 (87.049) Epoch: [85][7830/10010] Time 0.337 (0.328) Data 0.001 (0.001) Loss 1.1538 (1.3451) Prec@1 72.656 (68.665) Prec@5 94.531 (87.051) Epoch: [85][7840/10010] Time 0.333 (0.328) Data 0.000 (0.001) Loss 1.2897 (1.3452) Prec@1 66.406 (68.665) Prec@5 86.719 (87.051) Epoch: [85][7850/10010] Time 0.333 (0.328) Data 0.000 (0.001) Loss 1.6929 (1.3453) Prec@1 66.406 (68.664) Prec@5 84.375 (87.050) Epoch: [85][7860/10010] Time 0.338 (0.328) Data 0.001 (0.001) Loss 1.4885 (1.3453) Prec@1 63.281 (68.663) Prec@5 83.594 (87.049) Epoch: [85][7870/10010] Time 0.322 (0.328) Data 0.001 (0.001) Loss 1.3881 (1.3452) Prec@1 65.625 (68.665) Prec@5 84.375 (87.049) Epoch: [85][7880/10010] Time 0.338 (0.328) Data 0.001 (0.001) Loss 1.1413 (1.3452) Prec@1 75.000 (68.665) Prec@5 89.844 (87.049) Epoch: [85][7890/10010] Time 0.332 (0.328) Data 0.001 (0.001) Loss 1.3851 (1.3452) Prec@1 70.312 (68.662) Prec@5 87.500 (87.047) Epoch: [85][7900/10010] Time 0.322 (0.328) Data 0.001 (0.001) Loss 1.5223 (1.3451) Prec@1 57.812 (68.662) Prec@5 83.594 (87.049) Epoch: [85][7910/10010] Time 0.322 (0.328) Data 0.001 (0.001) Loss 1.0996 (1.3451) Prec@1 71.875 (68.663) Prec@5 89.844 (87.051) Epoch: [85][7920/10010] Time 0.320 (0.328) Data 0.001 (0.001) Loss 1.5381 (1.3451) Prec@1 62.500 (68.662) Prec@5 88.281 (87.053) Epoch: [85][7930/10010] Time 0.339 (0.328) Data 0.001 (0.001) Loss 1.5464 (1.3450) Prec@1 70.312 (68.663) Prec@5 82.031 (87.055) Epoch: [85][7940/10010] Time 0.337 (0.328) Data 0.001 (0.001) Loss 1.6581 (1.3452) Prec@1 63.281 (68.659) Prec@5 83.594 (87.052) Epoch: [85][7950/10010] Time 0.329 (0.328) Data 0.001 (0.001) Loss 1.3615 (1.3452) Prec@1 71.875 (68.659) Prec@5 87.500 (87.051) Epoch: [85][7960/10010] Time 0.337 (0.328) Data 0.001 (0.001) Loss 1.3628 (1.3452) Prec@1 60.938 (68.658) Prec@5 88.281 (87.051) Epoch: [85][7970/10010] Time 0.321 (0.328) Data 0.001 (0.001) Loss 1.4317 (1.3452) Prec@1 64.844 (68.658) Prec@5 87.500 (87.052) Epoch: [85][7980/10010] Time 0.340 (0.328) Data 0.001 (0.001) Loss 1.5982 (1.3452) Prec@1 64.844 (68.657) Prec@5 82.812 (87.051) Epoch: [85][7990/10010] Time 0.317 (0.328) Data 0.001 (0.001) Loss 1.4465 (1.3452) Prec@1 61.719 (68.657) Prec@5 87.500 (87.051) Epoch: [85][8000/10010] Time 0.318 (0.328) Data 0.001 (0.001) Loss 1.3464 (1.3453) Prec@1 70.312 (68.656) Prec@5 87.500 (87.051) Epoch: [85][8010/10010] Time 0.309 (0.328) Data 0.004 (0.001) Loss 1.3801 (1.3453) Prec@1 64.844 (68.657) Prec@5 86.719 (87.052) Epoch: [85][8020/10010] Time 0.315 (0.328) Data 0.001 (0.001) Loss 1.0999 (1.3453) Prec@1 74.219 (68.657) Prec@5 91.406 (87.052) Epoch: [85][8030/10010] Time 0.321 (0.328) Data 0.001 (0.001) Loss 1.7436 (1.3454) Prec@1 59.375 (68.654) Prec@5 80.469 (87.051) Epoch: [85][8040/10010] Time 0.321 (0.328) Data 0.001 (0.001) Loss 1.1910 (1.3454) Prec@1 73.438 (68.656) Prec@5 88.281 (87.052) Epoch: [85][8050/10010] Time 0.330 (0.328) Data 0.001 (0.001) Loss 1.5467 (1.3454) Prec@1 63.281 (68.654) Prec@5 82.812 (87.051) Epoch: [85][8060/10010] Time 0.312 (0.328) Data 0.001 (0.001) Loss 1.1470 (1.3453) Prec@1 69.531 (68.654) Prec@5 90.625 (87.051) Epoch: [85][8070/10010] Time 0.321 (0.328) Data 0.001 (0.001) Loss 1.7674 (1.3453) Prec@1 60.938 (68.654) Prec@5 78.906 (87.051) Epoch: [85][8080/10010] Time 0.335 (0.328) Data 0.001 (0.001) Loss 1.2314 (1.3453) Prec@1 64.844 (68.651) Prec@5 91.406 (87.051) Epoch: [85][8090/10010] Time 0.335 (0.328) Data 0.000 (0.001) Loss 1.3392 (1.3453) Prec@1 67.969 (68.651) Prec@5 85.938 (87.050) Epoch: [85][8100/10010] Time 0.338 (0.328) Data 0.001 (0.001) Loss 1.2885 (1.3453) Prec@1 75.781 (68.652) Prec@5 88.281 (87.051) Epoch: [85][8110/10010] Time 0.329 (0.328) Data 0.001 (0.001) Loss 0.9180 (1.3451) Prec@1 76.562 (68.652) Prec@5 92.969 (87.052) Epoch: [85][8120/10010] Time 0.329 (0.328) Data 0.000 (0.001) Loss 1.6602 (1.3452) Prec@1 62.500 (68.652) Prec@5 82.812 (87.052) Epoch: [85][8130/10010] Time 0.321 (0.328) Data 0.000 (0.001) Loss 1.2754 (1.3452) Prec@1 72.656 (68.653) Prec@5 89.062 (87.052) Epoch: [85][8140/10010] Time 0.335 (0.328) Data 0.001 (0.001) Loss 1.6454 (1.3452) Prec@1 62.500 (68.652) Prec@5 82.031 (87.051) Epoch: [85][8150/10010] Time 0.315 (0.328) Data 0.001 (0.001) Loss 1.2464 (1.3452) Prec@1 67.969 (68.652) Prec@5 89.844 (87.051) Epoch: [85][8160/10010] Time 0.339 (0.328) Data 0.001 (0.001) Loss 1.6853 (1.3452) Prec@1 59.375 (68.653) Prec@5 83.594 (87.052) Epoch: [85][8170/10010] Time 0.341 (0.328) Data 0.000 (0.001) Loss 1.5645 (1.3452) Prec@1 66.406 (68.652) Prec@5 85.938 (87.052) Epoch: [85][8180/10010] Time 0.327 (0.328) Data 0.001 (0.001) Loss 1.3277 (1.3452) Prec@1 67.969 (68.650) Prec@5 88.281 (87.052) Epoch: [85][8190/10010] Time 0.331 (0.328) Data 0.001 (0.001) Loss 1.2187 (1.3452) Prec@1 68.750 (68.651) Prec@5 90.625 (87.053) Epoch: [85][8200/10010] Time 0.317 (0.328) Data 0.001 (0.001) Loss 1.5134 (1.3453) Prec@1 60.156 (68.646) Prec@5 85.938 (87.051) Epoch: [85][8210/10010] Time 0.320 (0.328) Data 0.001 (0.001) Loss 1.4320 (1.3453) Prec@1 69.531 (68.647) Prec@5 86.719 (87.052) Epoch: [85][8220/10010] Time 0.334 (0.328) Data 0.000 (0.001) Loss 1.1881 (1.3452) Prec@1 72.656 (68.648) Prec@5 92.188 (87.053) Epoch: [85][8230/10010] Time 0.339 (0.328) Data 0.001 (0.001) Loss 1.6825 (1.3453) Prec@1 57.812 (68.646) Prec@5 83.594 (87.053) /data/vision/torralba/deepscene/lib/anaconda2/lib/python2.7/site-packages/PIL/TiffImagePlugin.py:692: UserWarning: Possibly corrupt EXIF data. Expecting to read 2555904 bytes but only got 0. Skipping tag 0 "Skipping tag %s" % (size, len(data), tag)) Epoch: [85][8240/10010] Time 0.311 (0.328) Data 0.001 (0.001) Loss 1.3916 (1.3453) Prec@1 67.188 (68.647) Prec@5 86.719 (87.054) Epoch: [85][8250/10010] Time 0.322 (0.328) Data 0.001 (0.001) Loss 1.4347 (1.3453) Prec@1 66.406 (68.647) Prec@5 85.938 (87.054) Epoch: [85][8260/10010] Time 0.334 (0.328) Data 0.000 (0.001) Loss 1.1543 (1.3452) Prec@1 68.750 (68.647) Prec@5 90.625 (87.055) Epoch: [85][8270/10010] Time 0.335 (0.328) Data 0.003 (0.001) Loss 1.2372 (1.3451) Prec@1 71.875 (68.649) Prec@5 89.062 (87.055) Epoch: [85][8280/10010] Time 0.341 (0.328) Data 0.000 (0.001) Loss 1.3981 (1.3451) Prec@1 67.188 (68.650) Prec@5 85.938 (87.056) Epoch: [85][8290/10010] Time 0.317 (0.328) Data 0.001 (0.001) Loss 1.4160 (1.3453) Prec@1 68.750 (68.648) Prec@5 83.594 (87.053) Epoch: [85][8300/10010] Time 0.340 (0.328) Data 0.000 (0.001) Loss 1.3999 (1.3452) Prec@1 71.094 (68.647) Prec@5 86.719 (87.054) Epoch: [85][8310/10010] Time 0.333 (0.328) Data 0.001 (0.001) Loss 1.3772 (1.3451) Prec@1 68.750 (68.650) Prec@5 85.938 (87.056) Epoch: [85][8320/10010] Time 0.339 (0.328) Data 0.001 (0.001) Loss 1.2932 (1.3451) Prec@1 67.969 (68.650) Prec@5 87.500 (87.055) Epoch: [85][8330/10010] Time 0.343 (0.328) Data 0.001 (0.001) Loss 1.4216 (1.3452) Prec@1 68.750 (68.649) Prec@5 86.719 (87.054) Epoch: [85][8340/10010] Time 0.322 (0.328) Data 0.000 (0.001) Loss 1.6106 (1.3452) Prec@1 61.719 (68.648) Prec@5 84.375 (87.054) Epoch: [85][8350/10010] Time 0.338 (0.328) Data 0.001 (0.001) Loss 1.3271 (1.3453) Prec@1 74.219 (68.648) Prec@5 87.500 (87.052) Epoch: [85][8360/10010] Time 0.338 (0.328) Data 0.001 (0.001) Loss 1.5994 (1.3454) Prec@1 60.156 (68.646) Prec@5 87.500 (87.052) Epoch: [85][8370/10010] Time 0.336 (0.328) Data 0.000 (0.001) Loss 1.1817 (1.3455) Prec@1 72.656 (68.644) Prec@5 89.062 (87.050) Epoch: [85][8380/10010] Time 0.342 (0.328) Data 0.000 (0.001) Loss 1.3088 (1.3455) Prec@1 70.312 (68.644) Prec@5 89.844 (87.051) Epoch: [85][8390/10010] Time 0.320 (0.328) Data 0.000 (0.001) Loss 1.5343 (1.3455) Prec@1 64.062 (68.644) Prec@5 85.156 (87.051) Epoch: [85][8400/10010] Time 0.326 (0.328) Data 0.000 (0.001) Loss 1.4531 (1.3455) Prec@1 69.531 (68.645) Prec@5 86.719 (87.052) Epoch: [85][8410/10010] Time 0.315 (0.328) Data 0.000 (0.001) Loss 1.4393 (1.3455) Prec@1 62.500 (68.644) Prec@5 85.156 (87.052) Epoch: [85][8420/10010] Time 0.331 (0.328) Data 0.001 (0.001) Loss 1.5185 (1.3455) Prec@1 63.281 (68.643) Prec@5 83.594 (87.051) Epoch: [85][8430/10010] Time 0.323 (0.328) Data 0.000 (0.001) Loss 1.0984 (1.3454) Prec@1 76.562 (68.646) Prec@5 90.625 (87.053) Epoch: [85][8440/10010] Time 0.339 (0.328) Data 0.000 (0.001) Loss 1.2463 (1.3455) Prec@1 67.969 (68.646) Prec@5 90.625 (87.052) Epoch: [85][8450/10010] Time 0.323 (0.328) Data 0.000 (0.001) Loss 1.3647 (1.3454) Prec@1 64.062 (68.646) Prec@5 88.281 (87.054) Epoch: [85][8460/10010] Time 0.335 (0.328) Data 0.000 (0.001) Loss 1.2683 (1.3455) Prec@1 67.188 (68.644) Prec@5 89.844 (87.053) Epoch: [85][8470/10010] Time 0.335 (0.328) Data 0.001 (0.001) Loss 1.2162 (1.3454) Prec@1 71.875 (68.645) Prec@5 88.281 (87.054) Epoch: [85][8480/10010] Time 0.335 (0.328) Data 0.000 (0.001) Loss 1.4333 (1.3454) Prec@1 66.406 (68.645) Prec@5 85.156 (87.055) Epoch: [85][8490/10010] Time 0.324 (0.328) Data 0.000 (0.001) Loss 1.2801 (1.3453) Prec@1 70.312 (68.645) Prec@5 85.938 (87.055) Epoch: [85][8500/10010] Time 0.317 (0.328) Data 0.001 (0.001) Loss 1.5876 (1.3454) Prec@1 63.281 (68.645) Prec@5 85.156 (87.054) Epoch: [85][8510/10010] Time 0.334 (0.328) Data 0.001 (0.001) Loss 1.7996 (1.3456) Prec@1 53.906 (68.643) Prec@5 81.250 (87.052) Epoch: [85][8520/10010] Time 0.320 (0.328) Data 0.001 (0.001) Loss 1.1031 (1.3456) Prec@1 71.094 (68.644) Prec@5 88.281 (87.051) Epoch: [85][8530/10010] Time 0.322 (0.328) Data 0.001 (0.001) Loss 1.2872 (1.3455) Prec@1 69.531 (68.645) Prec@5 86.719 (87.052) Epoch: [85][8540/10010] Time 0.318 (0.328) Data 0.001 (0.001) Loss 1.1752 (1.3455) Prec@1 70.312 (68.645) Prec@5 89.844 (87.053) Epoch: [85][8550/10010] Time 0.325 (0.328) Data 0.001 (0.001) Loss 1.5112 (1.3455) Prec@1 65.625 (68.644) Prec@5 84.375 (87.052) Epoch: [85][8560/10010] Time 0.330 (0.328) Data 0.001 (0.001) Loss 1.3830 (1.3456) Prec@1 68.750 (68.643) Prec@5 86.719 (87.051) Epoch: [85][8570/10010] Time 0.334 (0.328) Data 0.001 (0.001) Loss 1.6133 (1.3456) Prec@1 62.500 (68.642) Prec@5 85.156 (87.050) Epoch: [85][8580/10010] Time 0.318 (0.328) Data 0.000 (0.001) Loss 1.2400 (1.3456) Prec@1 67.969 (68.642) Prec@5 89.844 (87.050) Epoch: [85][8590/10010] Time 0.326 (0.328) Data 0.001 (0.001) Loss 1.2319 (1.3456) Prec@1 70.312 (68.643) Prec@5 87.500 (87.051) Epoch: [85][8600/10010] Time 0.336 (0.328) Data 0.001 (0.001) Loss 1.4750 (1.3455) Prec@1 71.875 (68.645) Prec@5 80.469 (87.051) Epoch: [85][8610/10010] Time 0.336 (0.328) Data 0.001 (0.001) Loss 1.5145 (1.3455) Prec@1 64.062 (68.644) Prec@5 85.938 (87.052) Epoch: [85][8620/10010] Time 0.335 (0.328) Data 0.001 (0.001) Loss 1.3920 (1.3454) Prec@1 63.281 (68.646) Prec@5 85.156 (87.054) Epoch: [85][8630/10010] Time 0.321 (0.328) Data 0.001 (0.001) Loss 1.3962 (1.3454) Prec@1 66.406 (68.648) Prec@5 89.062 (87.055) Epoch: [85][8640/10010] Time 0.318 (0.328) Data 0.001 (0.001) Loss 1.1146 (1.3453) Prec@1 72.656 (68.649) Prec@5 92.188 (87.056) Epoch: [85][8650/10010] Time 0.322 (0.328) Data 0.001 (0.001) Loss 1.2930 (1.3454) Prec@1 71.875 (68.648) Prec@5 89.062 (87.055) Epoch: [85][8660/10010] Time 0.316 (0.328) Data 0.001 (0.001) Loss 1.5195 (1.3454) Prec@1 65.625 (68.649) Prec@5 82.031 (87.054) Epoch: [85][8670/10010] Time 0.324 (0.328) Data 0.001 (0.001) Loss 1.6142 (1.3454) Prec@1 62.500 (68.649) Prec@5 82.031 (87.054) Epoch: [85][8680/10010] Time 0.327 (0.328) Data 0.001 (0.001) Loss 1.5790 (1.3455) Prec@1 60.938 (68.646) Prec@5 87.500 (87.051) Epoch: [85][8690/10010] Time 0.317 (0.328) Data 0.001 (0.001) Loss 1.2802 (1.3456) Prec@1 68.750 (68.646) Prec@5 89.844 (87.052) Epoch: [85][8700/10010] Time 0.328 (0.328) Data 0.001 (0.001) Loss 1.2157 (1.3457) Prec@1 74.219 (68.642) Prec@5 89.844 (87.051) Epoch: [85][8710/10010] Time 0.337 (0.328) Data 0.001 (0.001) Loss 1.3278 (1.3457) Prec@1 71.094 (68.641) Prec@5 87.500 (87.051) Epoch: [85][8720/10010] Time 0.319 (0.328) Data 0.001 (0.001) Loss 1.4419 (1.3457) Prec@1 69.531 (68.642) Prec@5 83.594 (87.052) Epoch: [85][8730/10010] Time 0.323 (0.328) Data 0.001 (0.001) Loss 1.6054 (1.3457) Prec@1 63.281 (68.643) Prec@5 83.594 (87.050) Epoch: [85][8740/10010] Time 0.315 (0.328) Data 0.000 (0.001) Loss 1.1764 (1.3456) Prec@1 73.438 (68.646) Prec@5 88.281 (87.053) Epoch: [85][8750/10010] Time 0.335 (0.328) Data 0.001 (0.001) Loss 1.3169 (1.3455) Prec@1 68.750 (68.647) Prec@5 84.375 (87.053) Epoch: [85][8760/10010] Time 0.324 (0.328) Data 0.001 (0.001) Loss 1.4286 (1.3455) Prec@1 64.062 (68.646) Prec@5 88.281 (87.052) Epoch: [85][8770/10010] Time 0.320 (0.328) Data 0.001 (0.001) Loss 1.4715 (1.3455) Prec@1 64.062 (68.645) Prec@5 85.938 (87.052) Epoch: [85][8780/10010] Time 0.333 (0.328) Data 0.001 (0.001) Loss 1.5628 (1.3454) Prec@1 66.406 (68.646) Prec@5 85.938 (87.054) Epoch: [85][8790/10010] Time 0.332 (0.328) Data 0.001 (0.001) Loss 1.4503 (1.3456) Prec@1 70.312 (68.643) Prec@5 85.938 (87.051) Epoch: [85][8800/10010] Time 0.318 (0.328) Data 0.001 (0.001) Loss 1.2017 (1.3456) Prec@1 67.969 (68.643) Prec@5 90.625 (87.051) Epoch: [85][8810/10010] Time 0.326 (0.328) Data 0.001 (0.001) Loss 1.1595 (1.3455) Prec@1 70.312 (68.646) Prec@5 92.188 (87.053) Epoch: [85][8820/10010] Time 0.330 (0.328) Data 0.001 (0.001) Loss 1.2903 (1.3455) Prec@1 69.531 (68.645) Prec@5 89.062 (87.053) Epoch: [85][8830/10010] Time 0.334 (0.328) Data 0.001 (0.001) Loss 1.1445 (1.3455) Prec@1 72.656 (68.645) Prec@5 89.844 (87.052) Epoch: [85][8840/10010] Time 0.320 (0.328) Data 0.001 (0.001) Loss 1.3773 (1.3456) Prec@1 66.406 (68.644) Prec@5 85.938 (87.051) Epoch: [85][8850/10010] Time 0.322 (0.328) Data 0.001 (0.001) Loss 1.2491 (1.3456) Prec@1 68.750 (68.643) Prec@5 89.844 (87.050) Epoch: [85][8860/10010] Time 0.316 (0.328) Data 0.001 (0.001) Loss 1.2403 (1.3456) Prec@1 66.406 (68.644) Prec@5 90.625 (87.050) Epoch: [85][8870/10010] Time 0.331 (0.328) Data 0.000 (0.001) Loss 1.2365 (1.3456) Prec@1 71.875 (68.645) Prec@5 87.500 (87.051) Epoch: [85][8880/10010] Time 0.317 (0.328) Data 0.000 (0.001) Loss 1.1575 (1.3457) Prec@1 70.312 (68.643) Prec@5 92.188 (87.051) Epoch: [85][8890/10010] Time 0.314 (0.328) Data 0.000 (0.001) Loss 1.2648 (1.3458) Prec@1 63.281 (68.641) Prec@5 92.969 (87.050) Epoch: [85][8900/10010] Time 0.341 (0.328) Data 0.001 (0.001) Loss 1.6298 (1.3457) Prec@1 58.594 (68.642) Prec@5 84.375 (87.051) Epoch: [85][8910/10010] Time 0.321 (0.328) Data 0.001 (0.001) Loss 1.4391 (1.3459) Prec@1 65.625 (68.638) Prec@5 88.281 (87.049) Epoch: [85][8920/10010] Time 0.324 (0.328) Data 0.001 (0.001) Loss 1.5170 (1.3459) Prec@1 66.406 (68.636) Prec@5 85.156 (87.048) Epoch: [85][8930/10010] Time 0.313 (0.328) Data 0.001 (0.001) Loss 1.1278 (1.3458) Prec@1 71.875 (68.638) Prec@5 91.406 (87.051) Epoch: [85][8940/10010] Time 0.336 (0.328) Data 0.001 (0.001) Loss 1.0994 (1.3458) Prec@1 74.219 (68.638) Prec@5 92.188 (87.052) Epoch: [85][8950/10010] Time 0.323 (0.328) Data 0.001 (0.001) Loss 1.2674 (1.3458) Prec@1 67.969 (68.636) Prec@5 88.281 (87.052) Epoch: [85][8960/10010] Time 0.323 (0.328) Data 0.001 (0.001) Loss 1.4982 (1.3459) Prec@1 62.500 (68.634) Prec@5 81.250 (87.050) Epoch: [85][8970/10010] Time 0.324 (0.328) Data 0.000 (0.001) Loss 1.1600 (1.3458) Prec@1 76.562 (68.636) Prec@5 91.406 (87.052) Epoch: [85][8980/10010] Time 0.339 (0.328) Data 0.001 (0.001) Loss 1.2451 (1.3458) Prec@1 65.625 (68.637) Prec@5 90.625 (87.052) Epoch: [85][8990/10010] Time 0.316 (0.328) Data 0.001 (0.001) Loss 1.3381 (1.3458) Prec@1 67.969 (68.637) Prec@5 85.156 (87.053) Epoch: [85][9000/10010] Time 0.343 (0.328) Data 0.000 (0.001) Loss 1.3007 (1.3458) Prec@1 63.281 (68.637) Prec@5 89.062 (87.055) Epoch: [85][9010/10010] Time 0.340 (0.328) Data 0.000 (0.001) Loss 1.3109 (1.3457) Prec@1 74.219 (68.638) Prec@5 87.500 (87.055) Epoch: [85][9020/10010] Time 0.327 (0.328) Data 0.001 (0.001) Loss 1.4081 (1.3458) Prec@1 60.938 (68.636) Prec@5 85.938 (87.053) Epoch: [85][9030/10010] Time 0.337 (0.328) Data 0.001 (0.001) Loss 1.3587 (1.3458) Prec@1 69.531 (68.636) Prec@5 90.625 (87.054) Epoch: [85][9040/10010] Time 0.336 (0.328) Data 0.000 (0.001) Loss 1.3819 (1.3458) Prec@1 67.188 (68.636) Prec@5 86.719 (87.054) Epoch: [85][9050/10010] Time 0.331 (0.328) Data 0.001 (0.001) Loss 1.5926 (1.3459) Prec@1 63.281 (68.638) Prec@5 84.375 (87.055) Epoch: [85][9060/10010] Time 0.334 (0.328) Data 0.001 (0.001) Loss 1.4384 (1.3459) Prec@1 67.188 (68.638) Prec@5 85.938 (87.054) Epoch: [85][9070/10010] Time 0.331 (0.328) Data 0.001 (0.001) Loss 1.1798 (1.3460) Prec@1 67.969 (68.634) Prec@5 92.188 (87.053) Epoch: [85][9080/10010] Time 0.317 (0.328) Data 0.001 (0.001) Loss 1.1372 (1.3460) Prec@1 73.438 (68.634) Prec@5 87.500 (87.054) Epoch: [85][9090/10010] Time 0.342 (0.328) Data 0.000 (0.001) Loss 1.5457 (1.3462) Prec@1 66.406 (68.632) Prec@5 82.031 (87.051) Epoch: [85][9100/10010] Time 0.337 (0.328) Data 0.001 (0.001) Loss 1.3813 (1.3461) Prec@1 67.188 (68.632) Prec@5 85.156 (87.052) Epoch: [85][9110/10010] Time 0.333 (0.328) Data 0.001 (0.001) Loss 1.0640 (1.3461) Prec@1 69.531 (68.632) Prec@5 90.625 (87.053) Epoch: [85][9120/10010] Time 0.341 (0.328) Data 0.000 (0.001) Loss 1.1413 (1.3462) Prec@1 72.656 (68.630) Prec@5 87.500 (87.052) Epoch: [85][9130/10010] Time 0.329 (0.328) Data 0.001 (0.001) Loss 1.0548 (1.3462) Prec@1 78.125 (68.631) Prec@5 92.188 (87.052) Epoch: [85][9140/10010] Time 0.326 (0.328) Data 0.001 (0.001) Loss 1.4674 (1.3462) Prec@1 67.969 (68.630) Prec@5 84.375 (87.051) Epoch: [85][9150/10010] Time 0.334 (0.328) Data 0.000 (0.001) Loss 1.1858 (1.3462) Prec@1 71.875 (68.632) Prec@5 88.281 (87.051) Epoch: [85][9160/10010] Time 0.326 (0.328) Data 0.000 (0.001) Loss 1.3572 (1.3463) Prec@1 65.625 (68.631) Prec@5 86.719 (87.049) Epoch: [85][9170/10010] Time 0.335 (0.328) Data 0.001 (0.001) Loss 1.6314 (1.3464) Prec@1 62.500 (68.631) Prec@5 82.812 (87.048) Epoch: [85][9180/10010] Time 0.316 (0.328) Data 0.000 (0.001) Loss 1.4407 (1.3464) Prec@1 71.094 (68.631) Prec@5 86.719 (87.048) Epoch: [85][9190/10010] Time 0.333 (0.328) Data 0.001 (0.001) Loss 1.1731 (1.3463) Prec@1 75.781 (68.632) Prec@5 88.281 (87.048) Epoch: [85][9200/10010] Time 0.332 (0.328) Data 0.001 (0.001) Loss 1.6641 (1.3464) Prec@1 61.719 (68.631) Prec@5 84.375 (87.048) Epoch: [85][9210/10010] Time 0.323 (0.328) Data 0.001 (0.001) Loss 1.3233 (1.3464) Prec@1 67.969 (68.629) Prec@5 85.938 (87.047) Epoch: [85][9220/10010] Time 0.324 (0.328) Data 0.000 (0.001) Loss 1.2662 (1.3464) Prec@1 67.188 (68.629) Prec@5 89.062 (87.046) Epoch: [85][9230/10010] Time 0.336 (0.328) Data 0.001 (0.001) Loss 1.3904 (1.3464) Prec@1 64.844 (68.630) Prec@5 85.938 (87.047) Epoch: [85][9240/10010] Time 0.316 (0.328) Data 0.000 (0.001) Loss 1.4282 (1.3464) Prec@1 67.188 (68.628) Prec@5 86.719 (87.047) Epoch: [85][9250/10010] Time 0.333 (0.328) Data 0.001 (0.001) Loss 1.7671 (1.3465) Prec@1 58.594 (68.629) Prec@5 76.562 (87.046) Epoch: [85][9260/10010] Time 0.338 (0.328) Data 0.001 (0.001) Loss 1.5584 (1.3464) Prec@1 65.625 (68.629) Prec@5 82.812 (87.047) Epoch: [85][9270/10010] Time 0.334 (0.328) Data 0.001 (0.001) Loss 1.1815 (1.3464) Prec@1 71.875 (68.629) Prec@5 87.500 (87.048) Epoch: [85][9280/10010] Time 0.339 (0.328) Data 0.000 (0.001) Loss 1.3218 (1.3464) Prec@1 65.625 (68.628) Prec@5 89.844 (87.048) Epoch: [85][9290/10010] Time 0.318 (0.328) Data 0.001 (0.001) Loss 1.3744 (1.3464) Prec@1 69.531 (68.628) Prec@5 86.719 (87.047) Epoch: [85][9300/10010] Time 0.335 (0.328) Data 0.001 (0.001) Loss 1.4602 (1.3464) Prec@1 65.625 (68.628) Prec@5 87.500 (87.046) Epoch: [85][9310/10010] Time 0.335 (0.328) Data 0.001 (0.001) Loss 1.3003 (1.3464) Prec@1 69.531 (68.631) Prec@5 86.719 (87.048) Epoch: [85][9320/10010] Time 0.319 (0.328) Data 0.001 (0.001) Loss 1.5847 (1.3464) Prec@1 60.156 (68.629) Prec@5 83.594 (87.048) Epoch: [85][9330/10010] Time 0.317 (0.328) Data 0.001 (0.001) Loss 1.4087 (1.3464) Prec@1 64.844 (68.627) Prec@5 87.500 (87.049) Epoch: [85][9340/10010] Time 0.339 (0.328) Data 0.001 (0.001) Loss 1.5393 (1.3465) Prec@1 63.281 (68.625) Prec@5 85.938 (87.046) Epoch: [85][9350/10010] Time 0.318 (0.327) Data 0.001 (0.001) Loss 1.4864 (1.3465) Prec@1 66.406 (68.625) Prec@5 84.375 (87.045) Epoch: [85][9360/10010] Time 0.319 (0.327) Data 0.001 (0.001) Loss 1.2850 (1.3466) Prec@1 66.406 (68.624) Prec@5 87.500 (87.043) Epoch: [85][9370/10010] Time 0.317 (0.327) Data 0.001 (0.001) Loss 1.2559 (1.3466) Prec@1 64.844 (68.623) Prec@5 91.406 (87.043) Epoch: [85][9380/10010] Time 0.340 (0.327) Data 0.000 (0.001) Loss 1.4546 (1.3465) Prec@1 67.188 (68.625) Prec@5 87.500 (87.044) Epoch: [85][9390/10010] Time 0.319 (0.327) Data 0.000 (0.001) Loss 1.3161 (1.3466) Prec@1 68.750 (68.624) Prec@5 85.938 (87.042) Epoch: [85][9400/10010] Time 0.318 (0.327) Data 0.001 (0.001) Loss 1.3304 (1.3465) Prec@1 70.312 (68.626) Prec@5 90.625 (87.043) Epoch: [85][9410/10010] Time 0.324 (0.327) Data 0.001 (0.001) Loss 1.4899 (1.3465) Prec@1 68.750 (68.627) Prec@5 85.156 (87.044) Epoch: [85][9420/10010] Time 0.315 (0.327) Data 0.001 (0.001) Loss 1.7056 (1.3465) Prec@1 64.844 (68.627) Prec@5 79.688 (87.044) Epoch: [85][9430/10010] Time 0.320 (0.327) Data 0.001 (0.001) Loss 1.5085 (1.3466) Prec@1 62.500 (68.625) Prec@5 85.156 (87.043) Epoch: [85][9440/10010] Time 0.331 (0.327) Data 0.001 (0.001) Loss 1.2932 (1.3465) Prec@1 71.094 (68.628) Prec@5 89.062 (87.045) Epoch: [85][9450/10010] Time 0.320 (0.327) Data 0.001 (0.001) Loss 1.1223 (1.3464) Prec@1 75.781 (68.629) Prec@5 89.062 (87.046) Epoch: [85][9460/10010] Time 0.335 (0.327) Data 0.000 (0.001) Loss 1.4234 (1.3464) Prec@1 65.625 (68.629) Prec@5 88.281 (87.045) Epoch: [85][9470/10010] Time 0.315 (0.327) Data 0.001 (0.001) Loss 1.2630 (1.3463) Prec@1 67.188 (68.631) Prec@5 91.406 (87.047) Epoch: [85][9480/10010] Time 0.329 (0.327) Data 0.001 (0.001) Loss 1.7210 (1.3465) Prec@1 64.062 (68.631) Prec@5 81.250 (87.045) Epoch: [85][9490/10010] Time 0.332 (0.327) Data 0.001 (0.001) Loss 1.1587 (1.3465) Prec@1 72.656 (68.629) Prec@5 89.844 (87.044) Epoch: [85][9500/10010] Time 0.329 (0.327) Data 0.000 (0.001) Loss 1.6215 (1.3466) Prec@1 65.625 (68.628) Prec@5 81.250 (87.043) Epoch: [85][9510/10010] Time 0.320 (0.327) Data 0.001 (0.001) Loss 1.3932 (1.3466) Prec@1 64.844 (68.627) Prec@5 85.938 (87.042) Epoch: [85][9520/10010] Time 0.324 (0.327) Data 0.001 (0.001) Loss 1.2745 (1.3467) Prec@1 68.750 (68.627) Prec@5 86.719 (87.041) Epoch: [85][9530/10010] Time 0.331 (0.327) Data 0.001 (0.001) Loss 1.6310 (1.3466) Prec@1 62.500 (68.628) Prec@5 82.031 (87.042) Epoch: [85][9540/10010] Time 0.313 (0.327) Data 0.001 (0.001) Loss 1.5877 (1.3467) Prec@1 66.406 (68.626) Prec@5 82.812 (87.042) Epoch: [85][9550/10010] Time 0.341 (0.327) Data 0.001 (0.001) Loss 1.2187 (1.3467) Prec@1 74.219 (68.628) Prec@5 87.500 (87.042) Epoch: [85][9560/10010] Time 0.328 (0.327) Data 0.000 (0.001) Loss 1.0703 (1.3467) Prec@1 73.438 (68.627) Prec@5 88.281 (87.042) Epoch: [85][9570/10010] Time 0.318 (0.327) Data 0.001 (0.001) Loss 1.2279 (1.3466) Prec@1 73.438 (68.629) Prec@5 87.500 (87.044) Epoch: [85][9580/10010] Time 0.337 (0.327) Data 0.001 (0.001) Loss 1.1494 (1.3466) Prec@1 71.875 (68.629) Prec@5 87.500 (87.044) Epoch: [85][9590/10010] Time 0.334 (0.327) Data 0.000 (0.001) Loss 1.1586 (1.3466) Prec@1 75.000 (68.629) Prec@5 90.625 (87.044) Epoch: [85][9600/10010] Time 0.323 (0.327) Data 0.000 (0.001) Loss 1.3793 (1.3466) Prec@1 64.062 (68.631) Prec@5 86.719 (87.044) Epoch: [85][9610/10010] Time 0.335 (0.327) Data 0.000 (0.001) Loss 1.2078 (1.3466) Prec@1 71.094 (68.632) Prec@5 88.281 (87.044) Epoch: [85][9620/10010] Time 0.316 (0.327) Data 0.001 (0.001) Loss 1.3420 (1.3466) Prec@1 66.406 (68.631) Prec@5 85.938 (87.043) Epoch: [85][9630/10010] Time 0.333 (0.327) Data 0.001 (0.001) Loss 1.3752 (1.3467) Prec@1 72.656 (68.630) Prec@5 85.156 (87.043) Epoch: [85][9640/10010] Time 0.328 (0.327) Data 0.001 (0.001) Loss 1.3466 (1.3467) Prec@1 69.531 (68.629) Prec@5 85.938 (87.043) Epoch: [85][9650/10010] Time 0.327 (0.327) Data 0.001 (0.001) Loss 1.1665 (1.3468) Prec@1 77.344 (68.626) Prec@5 87.500 (87.041) Epoch: [85][9660/10010] Time 0.318 (0.327) Data 0.001 (0.001) Loss 1.7387 (1.3467) Prec@1 62.500 (68.629) Prec@5 78.125 (87.042) Epoch: [85][9670/10010] Time 0.335 (0.327) Data 0.000 (0.001) Loss 1.2404 (1.3468) Prec@1 71.094 (68.628) Prec@5 89.844 (87.041) Epoch: [85][9680/10010] Time 0.317 (0.327) Data 0.001 (0.001) Loss 1.1440 (1.3467) Prec@1 68.750 (68.627) Prec@5 91.406 (87.042) Epoch: [85][9690/10010] Time 0.340 (0.327) Data 0.001 (0.001) Loss 1.2901 (1.3468) Prec@1 70.312 (68.625) Prec@5 88.281 (87.040) Epoch: [85][9700/10010] Time 0.321 (0.327) Data 0.000 (0.001) Loss 1.2119 (1.3468) Prec@1 71.094 (68.626) Prec@5 90.625 (87.040) Epoch: [85][9710/10010] Time 0.341 (0.327) Data 0.001 (0.001) Loss 1.1836 (1.3468) Prec@1 75.000 (68.626) Prec@5 89.062 (87.041) Epoch: [85][9720/10010] Time 0.313 (0.327) Data 0.000 (0.001) Loss 1.4256 (1.3469) Prec@1 64.844 (68.624) Prec@5 88.281 (87.041) Epoch: [85][9730/10010] Time 0.330 (0.327) Data 0.001 (0.001) Loss 1.1234 (1.3469) Prec@1 79.688 (68.623) Prec@5 89.844 (87.041) Epoch: [85][9740/10010] Time 0.336 (0.327) Data 0.001 (0.001) Loss 1.4740 (1.3470) Prec@1 65.625 (68.621) Prec@5 85.156 (87.039) Epoch: [85][9750/10010] Time 0.326 (0.327) Data 0.001 (0.001) Loss 1.1529 (1.3470) Prec@1 71.875 (68.622) Prec@5 90.625 (87.038) Epoch: [85][9760/10010] Time 0.322 (0.327) Data 0.001 (0.001) Loss 1.5896 (1.3470) Prec@1 61.719 (68.622) Prec@5 85.938 (87.039) Epoch: [85][9770/10010] Time 0.341 (0.327) Data 0.001 (0.001) Loss 1.5972 (1.3471) Prec@1 62.500 (68.624) Prec@5 85.156 (87.039) Epoch: [85][9780/10010] Time 0.337 (0.327) Data 0.001 (0.001) Loss 1.2067 (1.3470) Prec@1 71.875 (68.624) Prec@5 86.719 (87.040) Epoch: [85][9790/10010] Time 0.326 (0.327) Data 0.001 (0.001) Loss 1.5812 (1.3471) Prec@1 63.281 (68.622) Prec@5 87.500 (87.039) Epoch: [85][9800/10010] Time 0.320 (0.327) Data 0.001 (0.001) Loss 1.1784 (1.3471) Prec@1 72.656 (68.623) Prec@5 91.406 (87.039) Epoch: [85][9810/10010] Time 0.340 (0.327) Data 0.001 (0.001) Loss 1.3331 (1.3471) Prec@1 64.062 (68.623) Prec@5 86.719 (87.039) Epoch: [85][9820/10010] Time 0.339 (0.327) Data 0.000 (0.001) Loss 1.2003 (1.3471) Prec@1 71.875 (68.623) Prec@5 89.844 (87.040) Epoch: [85][9830/10010] Time 0.333 (0.327) Data 0.001 (0.001) Loss 1.1999 (1.3470) Prec@1 67.188 (68.625) Prec@5 90.625 (87.041) Epoch: [85][9840/10010] Time 0.311 (0.327) Data 0.000 (0.001) Loss 1.3906 (1.3471) Prec@1 64.062 (68.624) Prec@5 85.938 (87.040) Epoch: [85][9850/10010] Time 0.338 (0.327) Data 0.001 (0.001) Loss 1.4788 (1.3471) Prec@1 67.969 (68.625) Prec@5 82.812 (87.040) Epoch: [85][9860/10010] Time 0.317 (0.327) Data 0.001 (0.001) Loss 1.1872 (1.3471) Prec@1 69.531 (68.625) Prec@5 89.844 (87.041) Epoch: [85][9870/10010] Time 0.327 (0.327) Data 0.000 (0.001) Loss 1.4601 (1.3471) Prec@1 69.531 (68.626) Prec@5 85.938 (87.041) Epoch: [85][9880/10010] Time 0.322 (0.327) Data 0.000 (0.001) Loss 1.4499 (1.3471) Prec@1 62.500 (68.627) Prec@5 84.375 (87.040) Epoch: [85][9890/10010] Time 0.310 (0.327) Data 0.001 (0.001) Loss 1.6622 (1.3471) Prec@1 59.375 (68.627) Prec@5 82.812 (87.039) Epoch: [85][9900/10010] Time 0.330 (0.327) Data 0.001 (0.001) Loss 1.5984 (1.3471) Prec@1 64.062 (68.627) Prec@5 80.469 (87.039) Epoch: [85][9910/10010] Time 0.318 (0.327) Data 0.001 (0.001) Loss 1.3176 (1.3471) Prec@1 75.000 (68.627) Prec@5 87.500 (87.040) Epoch: [85][9920/10010] Time 0.343 (0.327) Data 0.001 (0.001) Loss 1.2309 (1.3471) Prec@1 70.312 (68.629) Prec@5 91.406 (87.040) Epoch: [85][9930/10010] Time 0.318 (0.327) Data 0.001 (0.001) Loss 1.1280 (1.3470) Prec@1 71.094 (68.630) Prec@5 90.625 (87.042) Epoch: [85][9940/10010] Time 0.326 (0.327) Data 0.001 (0.001) Loss 1.4775 (1.3470) Prec@1 61.719 (68.630) Prec@5 85.938 (87.042) Epoch: [85][9950/10010] Time 0.314 (0.327) Data 0.001 (0.001) Loss 1.7741 (1.3470) Prec@1 61.719 (68.629) Prec@5 82.031 (87.042) Epoch: [85][9960/10010] Time 0.331 (0.327) Data 0.001 (0.001) Loss 1.3191 (1.3470) Prec@1 69.531 (68.628) Prec@5 88.281 (87.042) Epoch: [85][9970/10010] Time 0.323 (0.327) Data 0.000 (0.001) Loss 1.3912 (1.3471) Prec@1 66.406 (68.624) Prec@5 85.938 (87.041) Epoch: [85][9980/10010] Time 0.343 (0.327) Data 0.001 (0.001) Loss 1.4014 (1.3472) Prec@1 66.406 (68.623) Prec@5 85.156 (87.041) Epoch: [85][9990/10010] Time 0.331 (0.327) Data 0.000 (0.001) Loss 1.3159 (1.3472) Prec@1 66.406 (68.621) Prec@5 89.844 (87.041) Epoch: [85][10000/10010] Time 0.316 (0.327) Data 0.000 (0.001) Loss 1.3693 (1.3472) Prec@1 70.312 (68.621) Prec@5 89.844 (87.041) Test: [0/391] Time 1.321 (1.321) Loss 0.5982 (0.5982) Prec@1 85.938 (85.938) Prec@5 96.094 (96.094) Test: [10/391] Time 0.103 (0.235) Loss 1.0751 (0.6056) Prec@1 73.438 (85.227) Prec@5 92.969 (95.952) Test: [20/391] Time 0.104 (0.176) Loss 0.7855 (0.8604) Prec@1 78.125 (78.162) Prec@5 94.531 (93.527) Test: [30/391] Time 0.103 (0.153) Loss 1.5563 (1.0001) Prec@1 71.094 (74.143) Prec@5 88.281 (92.414) Test: [40/391] Time 0.102 (0.142) Loss 0.7532 (0.9027) Prec@1 82.812 (76.905) Prec@5 92.188 (93.121) Test: [50/391] Time 0.102 (0.135) Loss 0.5424 (0.9331) Prec@1 87.500 (76.792) Prec@5 94.531 (92.647) Test: [60/391] Time 0.107 (0.130) Loss 0.9204 (0.8809) Prec@1 77.344 (78.074) Prec@5 92.969 (93.148) Test: [70/391] Time 0.100 (0.127) Loss 1.2041 (0.9065) Prec@1 66.406 (77.014) Prec@5 94.531 (93.178) Test: [80/391] Time 0.103 (0.124) Loss 0.9819 (0.9261) Prec@1 75.000 (76.244) Prec@5 92.969 (93.200) Test: [90/391] Time 0.104 (0.122) Loss 1.1555 (0.9350) Prec@1 59.375 (75.876) Prec@5 96.094 (93.243) Test: [100/391] Time 0.100 (0.120) Loss 0.6593 (0.9228) Prec@1 82.031 (75.951) Prec@5 96.875 (93.533) Test: [110/391] Time 0.102 (0.119) Loss 1.2898 (0.9243) Prec@1 53.906 (75.704) Prec@5 92.188 (93.630) Test: [120/391] Time 0.108 (0.118) Loss 0.7117 (0.9176) Prec@1 83.594 (75.975) Prec@5 97.656 (93.731) Test: [130/391] Time 0.105 (0.117) Loss 0.4499 (0.9122) Prec@1 92.188 (76.211) Prec@5 98.438 (93.804) Test: [140/391] Time 0.108 (0.116) Loss 1.2259 (0.9141) Prec@1 64.062 (76.092) Prec@5 92.188 (93.811) Test: [150/391] Time 0.109 (0.116) Loss 0.9009 (0.9207) Prec@1 70.312 (76.092) Prec@5 93.750 (93.641) Test: [160/391] Time 0.098 (0.115) Loss 0.9491 (0.9251) Prec@1 78.125 (76.053) Prec@5 91.406 (93.532) Test: [170/391] Time 0.106 (0.114) Loss 1.6697 (0.9545) Prec@1 58.594 (75.443) Prec@5 87.500 (93.165) Test: [180/391] Time 0.107 (0.114) Loss 1.8592 (0.9842) Prec@1 57.812 (74.862) Prec@5 87.500 (92.835) Test: [190/391] Time 0.108 (0.114) Loss 2.0242 (1.0181) Prec@1 52.344 (74.161) Prec@5 84.375 (92.408) Test: [200/391] Time 0.107 (0.113) Loss 1.0744 (1.0481) Prec@1 71.094 (73.562) Prec@5 93.750 (91.993) Test: [210/391] Time 0.102 (0.113) Loss 1.6279 (1.0669) Prec@1 64.062 (73.171) Prec@5 85.938 (91.799) Test: [220/391] Time 0.106 (0.112) Loss 0.5772 (1.0782) Prec@1 82.812 (72.967) Prec@5 96.875 (91.597) Test: [230/391] Time 0.097 (0.112) Loss 2.0109 (1.0922) Prec@1 53.906 (72.734) Prec@5 85.156 (91.447) Test: [240/391] Time 0.109 (0.112) Loss 1.2889 (1.0995) Prec@1 74.219 (72.634) Prec@5 86.719 (91.309) Test: [250/391] Time 0.106 (0.112) Loss 0.7913 (1.1221) Prec@1 80.469 (72.068) Prec@5 91.406 (91.042) Test: [260/391] Time 0.105 (0.111) Loss 1.3892 (1.1370) Prec@1 64.844 (71.737) Prec@5 87.500 (90.861) Test: [270/391] Time 0.101 (0.111) Loss 2.1357 (1.1478) Prec@1 50.000 (71.552) Prec@5 81.250 (90.709) Test: [280/391] Time 0.112 (0.111) Loss 1.0754 (1.1527) Prec@1 69.531 (71.514) Prec@5 93.750 (90.656) Test: [290/391] Time 0.103 (0.111) Loss 1.5703 (1.1648) Prec@1 53.906 (71.287) Prec@5 88.281 (90.416) Test: [300/391] Time 0.117 (0.111) Loss 1.3188 (1.1754) Prec@1 74.219 (71.081) Prec@5 85.156 (90.259) Test: [310/391] Time 0.105 (0.111) Loss 1.5143 (1.1826) Prec@1 64.062 (70.956) Prec@5 83.594 (90.115) Test: [320/391] Time 0.099 (0.111) Loss 0.8990 (1.1908) Prec@1 83.594 (70.865) Prec@5 92.969 (90.041) Test: [330/391] Time 0.101 (0.110) Loss 1.9840 (1.2094) Prec@1 50.000 (70.428) Prec@5 80.469 (89.797) Test: [340/391] Time 0.104 (0.110) Loss 1.2426 (1.2168) Prec@1 59.375 (70.216) Prec@5 94.531 (89.713) Test: [350/391] Time 0.104 (0.110) Loss 1.2587 (1.2219) Prec@1 70.312 (70.114) Prec@5 90.625 (89.635) Test: [360/391] Time 0.108 (0.110) Loss 1.4266 (1.2316) Prec@1 60.938 (69.910) Prec@5 92.188 (89.552) Test: [370/391] Time 0.110 (0.110) Loss 1.1670 (1.2259) Prec@1 64.062 (69.997) Prec@5 93.750 (89.629) Test: [380/391] Time 0.099 (0.110) Loss 0.9612 (1.2270) Prec@1 74.219 (69.945) Prec@5 94.531 (89.610) Test: [390/391] Time 0.068 (0.109) Loss 2.0748 (1.2208) Prec@1 43.750 (70.084) Prec@5 77.500 (89.662) * Prec@1 70.084 Prec@5 89.662 Epoch: [86][0/10010] Time 2.593 (2.593) Data 2.400 (2.400) Loss 1.6783 (1.6783) Prec@1 62.500 (62.500) Prec@5 82.031 (82.031) /data/vision/torralba/deepscene/lib/anaconda2/lib/python2.7/site-packages/PIL/TiffImagePlugin.py:692: UserWarning: Possibly corrupt EXIF data. Expecting to read 2555904 bytes but only got 0. Skipping tag 0 "Skipping tag %s" % (size, len(data), tag)) Epoch: [86][10/10010] Time 0.319 (0.522) Data 0.001 (0.219) Loss 1.1060 (1.3247) Prec@1 71.094 (68.182) Prec@5 88.281 (87.358) Epoch: [86][20/10010] Time 0.333 (0.425) Data 0.000 (0.115) Loss 1.4054 (1.3344) Prec@1 68.750 (68.564) Prec@5 86.719 (87.463) Epoch: [86][30/10010] Time 0.320 (0.392) Data 0.001 (0.078) Loss 1.3246 (1.3453) Prec@1 67.188 (68.145) Prec@5 86.719 (87.525) Epoch: [86][40/10010] Time 0.318 (0.377) Data 0.001 (0.059) Loss 1.3382 (1.3390) Prec@1 67.969 (68.331) Prec@5 83.594 (87.538) Epoch: [86][50/10010] Time 0.324 (0.365) Data 0.000 (0.048) Loss 1.1791 (1.3411) Prec@1 69.531 (68.398) Prec@5 89.062 (87.485) Epoch: [86][60/10010] Time 0.320 (0.358) Data 0.001 (0.040) Loss 1.2920 (1.3463) Prec@1 70.312 (68.302) Prec@5 85.938 (87.372) Epoch: [86][70/10010] Time 0.340 (0.354) Data 0.001 (0.035) Loss 1.2487 (1.3493) Prec@1 71.094 (68.343) Prec@5 89.062 (87.269) Epoch: [86][80/10010] Time 0.323 (0.350) Data 0.001 (0.030) Loss 1.3525 (1.3415) Prec@1 71.875 (68.509) Prec@5 87.500 (87.384) Epoch: [86][90/10010] Time 0.319 (0.347) Data 0.000 (0.027) Loss 1.4519 (1.3400) Prec@1 67.188 (68.750) Prec@5 85.156 (87.371) Epoch: [86][100/10010] Time 0.329 (0.345) Data 0.001 (0.024) Loss 1.0148 (1.3376) Prec@1 76.562 (68.804) Prec@5 92.188 (87.361) Epoch: [86][110/10010] Time 0.330 (0.344) Data 0.001 (0.022) Loss 1.5484 (1.3329) Prec@1 66.406 (68.947) Prec@5 82.031 (87.352) Epoch: [86][120/10010] Time 0.323 (0.342) Data 0.001 (0.021) Loss 1.1740 (1.3368) Prec@1 75.000 (68.937) Prec@5 89.844 (87.300) Epoch: [86][130/10010] Time 0.335 (0.341) Data 0.001 (0.019) Loss 1.4283 (1.3404) Prec@1 69.531 (68.905) Prec@5 85.156 (87.285) Epoch: [86][140/10010] Time 0.318 (0.340) Data 0.001 (0.018) Loss 1.2110 (1.3400) Prec@1 67.188 (68.949) Prec@5 89.844 (87.323) Epoch: [86][150/10010] Time 0.322 (0.339) Data 0.000 (0.017) Loss 1.6262 (1.3455) Prec@1 60.156 (68.817) Prec@5 83.594 (87.252) Epoch: [86][160/10010] Time 0.317 (0.338) Data 0.000 (0.016) Loss 1.1611 (1.3453) Prec@1 71.875 (68.818) Prec@5 86.719 (87.204) Epoch: [86][170/10010] Time 0.311 (0.337) Data 0.001 (0.015) Loss 1.5908 (1.3471) Prec@1 64.062 (68.777) Prec@5 81.250 (87.157) Epoch: [86][180/10010] Time 0.336 (0.337) Data 0.001 (0.014) Loss 1.3858 (1.3442) Prec@1 61.719 (68.763) Prec@5 88.281 (87.211) Epoch: [86][190/10010] Time 0.323 (0.336) Data 0.001 (0.013) Loss 1.1372 (1.3368) Prec@1 70.312 (68.934) Prec@5 89.062 (87.267) Epoch: [86][200/10010] Time 0.342 (0.336) Data 0.000 (0.013) Loss 1.1585 (1.3356) Prec@1 74.219 (68.979) Prec@5 90.625 (87.275) Epoch: [86][210/10010] Time 0.330 (0.335) Data 0.001 (0.012) Loss 1.3407 (1.3338) Prec@1 67.969 (69.013) Prec@5 89.062 (87.356) Epoch: [86][220/10010] Time 0.336 (0.335) Data 0.001 (0.012) Loss 1.2361 (1.3334) Prec@1 70.312 (69.050) Prec@5 87.500 (87.334) Epoch: [86][230/10010] Time 0.322 (0.335) Data 0.001 (0.011) Loss 1.8427 (1.3365) Prec@1 54.688 (68.946) Prec@5 85.156 (87.341) Epoch: [86][240/10010] Time 0.315 (0.334) Data 0.001 (0.011) Loss 1.3651 (1.3328) Prec@1 67.969 (68.987) Prec@5 89.062 (87.367) Epoch: [86][250/10010] Time 0.334 (0.334) Data 0.001 (0.010) Loss 1.1223 (1.3363) Prec@1 75.000 (68.940) Prec@5 88.281 (87.313) Epoch: [86][260/10010] Time 0.338 (0.333) Data 0.001 (0.010) Loss 1.0395 (1.3342) Prec@1 70.312 (68.957) Prec@5 86.719 (87.320) Epoch: [86][270/10010] Time 0.329 (0.333) Data 0.000 (0.010) Loss 1.3336 (1.3365) Prec@1 72.656 (68.932) Prec@5 86.719 (87.275) Epoch: [86][280/10010] Time 0.326 (0.333) Data 0.001 (0.009) Loss 1.3780 (1.3363) Prec@1 67.969 (68.945) Prec@5 83.594 (87.266) Epoch: [86][290/10010] Time 0.332 (0.333) Data 0.001 (0.009) Loss 1.1718 (1.3366) Prec@1 67.188 (68.911) Prec@5 85.938 (87.240) Epoch: [86][300/10010] Time 0.312 (0.332) Data 0.001 (0.009) Loss 1.3616 (1.3373) Prec@1 65.625 (68.960) Prec@5 87.500 (87.227) Epoch: [86][310/10010] Time 0.313 (0.332) Data 0.000 (0.008) Loss 1.2095 (1.3391) Prec@1 70.312 (68.921) Prec@5 89.062 (87.183) Epoch: [86][320/10010] Time 0.337 (0.332) Data 0.001 (0.008) Loss 1.1688 (1.3385) Prec@1 72.656 (68.933) Prec@5 88.281 (87.198) Epoch: [86][330/10010] Time 0.339 (0.332) Data 0.001 (0.008) Loss 1.5739 (1.3367) Prec@1 64.062 (68.965) Prec@5 84.375 (87.238) Epoch: [86][340/10010] Time 0.323 (0.332) Data 0.000 (0.008) Loss 1.4819 (1.3366) Prec@1 65.625 (68.995) Prec@5 81.250 (87.237) Epoch: [86][350/10010] Time 0.341 (0.332) Data 0.001 (0.008) Loss 1.1050 (1.3385) Prec@1 72.656 (68.926) Prec@5 89.844 (87.228) Epoch: [86][360/10010] Time 0.341 (0.332) Data 0.001 (0.007) Loss 1.4546 (1.3381) Prec@1 65.625 (68.943) Prec@5 83.594 (87.212) Epoch: [86][370/10010] Time 0.332 (0.332) Data 0.001 (0.007) Loss 1.3945 (1.3380) Prec@1 65.625 (68.946) Prec@5 84.375 (87.195) Epoch: [86][380/10010] Time 0.342 (0.332) Data 0.001 (0.007) Loss 1.5237 (1.3394) Prec@1 67.188 (68.871) Prec@5 84.375 (87.172) Epoch: [86][390/10010] Time 0.328 (0.332) Data 0.001 (0.007) Loss 1.3498 (1.3403) Prec@1 72.656 (68.912) Prec@5 86.719 (87.184) Epoch: [86][400/10010] Time 0.336 (0.331) Data 0.001 (0.007) Loss 1.5522 (1.3387) Prec@1 64.062 (68.925) Prec@5 85.156 (87.204) Epoch: [86][410/10010] Time 0.317 (0.331) Data 0.001 (0.007) Loss 1.3036 (1.3387) Prec@1 70.312 (68.940) Prec@5 85.156 (87.186) Epoch: [86][420/10010] Time 0.334 (0.331) Data 0.001 (0.006) Loss 1.3829 (1.3404) Prec@1 67.969 (68.871) Prec@5 85.938 (87.168) Epoch: [86][430/10010] Time 0.321 (0.331) Data 0.001 (0.006) Loss 0.9618 (1.3390) Prec@1 76.562 (68.893) Prec@5 92.188 (87.186) Epoch: [86][440/10010] Time 0.338 (0.331) Data 0.001 (0.006) Loss 1.5274 (1.3378) Prec@1 64.062 (68.922) Prec@5 87.500 (87.202) Epoch: [86][450/10010] Time 0.321 (0.331) Data 0.001 (0.006) Loss 1.1751 (1.3379) Prec@1 67.188 (68.885) Prec@5 91.406 (87.249) Epoch: [86][460/10010] Time 0.327 (0.331) Data 0.001 (0.006) Loss 1.2630 (1.3369) Prec@1 73.438 (68.901) Prec@5 92.188 (87.268) Epoch: [86][470/10010] Time 0.326 (0.331) Data 0.001 (0.006) Loss 1.4111 (1.3365) Prec@1 64.844 (68.913) Prec@5 84.375 (87.264) Epoch: [86][480/10010] Time 0.338 (0.331) Data 0.000 (0.006) Loss 1.6524 (1.3370) Prec@1 63.281 (68.890) Prec@5 82.812 (87.232) Epoch: [86][490/10010] Time 0.324 (0.331) Data 0.001 (0.006) Loss 1.3602 (1.3358) Prec@1 70.312 (68.903) Prec@5 85.938 (87.244) Epoch: [86][500/10010] Time 0.323 (0.331) Data 0.000 (0.005) Loss 1.3427 (1.3355) Prec@1 71.875 (68.925) Prec@5 89.062 (87.243) Epoch: [86][510/10010] Time 0.324 (0.331) Data 0.001 (0.005) Loss 1.3262 (1.3350) Prec@1 67.188 (68.938) Prec@5 88.281 (87.246) Epoch: [86][520/10010] Time 0.320 (0.331) Data 0.001 (0.005) Loss 1.2941 (1.3347) Prec@1 68.750 (68.934) Prec@5 91.406 (87.253) Epoch: [86][530/10010] Time 0.330 (0.330) Data 0.001 (0.005) Loss 1.2879 (1.3361) Prec@1 67.188 (68.871) Prec@5 86.719 (87.234) Epoch: [86][540/10010] Time 0.317 (0.330) Data 0.000 (0.005) Loss 1.2372 (1.3364) Prec@1 68.750 (68.848) Prec@5 89.844 (87.237) Epoch: [86][550/10010] Time 0.323 (0.330) Data 0.001 (0.005) Loss 1.3972 (1.3342) Prec@1 67.188 (68.895) Prec@5 86.719 (87.269) Epoch: [86][560/10010] Time 0.317 (0.330) Data 0.001 (0.005) Loss 1.2539 (1.3337) Prec@1 68.750 (68.934) Prec@5 89.844 (87.276) Epoch: [86][570/10010] Time 0.315 (0.330) Data 0.001 (0.005) Loss 1.2246 (1.3344) Prec@1 71.875 (68.914) Prec@5 89.062 (87.266) Epoch: [86][580/10010] Time 0.331 (0.330) Data 0.001 (0.005) Loss 1.4454 (1.3329) Prec@1 65.625 (68.926) Prec@5 83.594 (87.278) Epoch: [86][590/10010] Time 0.312 (0.330) Data 0.001 (0.005) Loss 1.2142 (1.3316) Prec@1 70.312 (68.942) Prec@5 91.406 (87.315) Epoch: [86][600/10010] Time 0.341 (0.330) Data 0.001 (0.005) Loss 1.1446 (1.3331) Prec@1 75.781 (68.941) Prec@5 91.406 (87.287) Epoch: [86][610/10010] Time 0.340 (0.330) Data 0.001 (0.005) Loss 1.1722 (1.3343) Prec@1 68.750 (68.909) Prec@5 89.062 (87.257) Epoch: [86][620/10010] Time 0.339 (0.330) Data 0.001 (0.005) Loss 1.1627 (1.3334) Prec@1 75.781 (68.900) Prec@5 85.156 (87.284) Epoch: [86][630/10010] Time 0.311 (0.330) Data 0.001 (0.004) Loss 1.4927 (1.3334) Prec@1 64.062 (68.897) Prec@5 87.500 (87.302) Epoch: [86][640/10010] Time 0.338 (0.330) Data 0.001 (0.004) Loss 1.0426 (1.3326) Prec@1 71.875 (68.901) Prec@5 93.750 (87.310) Epoch: [86][650/10010] Time 0.339 (0.330) Data 0.000 (0.004) Loss 1.3115 (1.3319) Prec@1 67.188 (68.910) Prec@5 89.062 (87.331) Epoch: [86][660/10010] Time 0.323 (0.330) Data 0.001 (0.004) Loss 1.1480 (1.3316) Prec@1 70.312 (68.918) Prec@5 91.406 (87.348) Epoch: [86][670/10010] Time 0.316 (0.330) Data 0.000 (0.004) Loss 1.1767 (1.3323) Prec@1 68.750 (68.904) Prec@5 86.719 (87.342) Epoch: [86][680/10010] Time 0.319 (0.330) Data 0.001 (0.004) Loss 1.2997 (1.3338) Prec@1 66.406 (68.875) Prec@5 88.281 (87.304) Epoch: [86][690/10010] Time 0.321 (0.330) Data 0.001 (0.004) Loss 1.4239 (1.3354) Prec@1 71.875 (68.859) Prec@5 85.938 (87.272) Epoch: [86][700/10010] Time 0.338 (0.330) Data 0.001 (0.004) Loss 0.9559 (1.3346) Prec@1 78.906 (68.854) Prec@5 92.188 (87.294) Epoch: [86][710/10010] Time 0.333 (0.330) Data 0.001 (0.004) Loss 1.0736 (1.3341) Prec@1 75.000 (68.851) Prec@5 89.844 (87.297) Epoch: [86][720/10010] Time 0.327 (0.330) Data 0.001 (0.004) Loss 1.2757 (1.3326) Prec@1 70.312 (68.871) Prec@5 86.719 (87.317) Epoch: [86][730/10010] Time 0.316 (0.330) Data 0.001 (0.004) Loss 1.2926 (1.3339) Prec@1 67.969 (68.859) Prec@5 90.625 (87.302) Epoch: [86][740/10010] Time 0.340 (0.330) Data 0.001 (0.004) Loss 1.0992 (1.3338) Prec@1 76.562 (68.856) Prec@5 90.625 (87.288) Epoch: [86][750/10010] Time 0.311 (0.330) Data 0.001 (0.004) Loss 1.1625 (1.3339) Prec@1 72.656 (68.855) Prec@5 91.406 (87.297) Epoch: [86][760/10010] Time 0.334 (0.330) Data 0.001 (0.004) Loss 1.2372 (1.3338) Prec@1 68.750 (68.858) Prec@5 86.719 (87.300) Epoch: [86][770/10010] Time 0.341 (0.330) Data 0.001 (0.004) Loss 1.6224 (1.3346) Prec@1 64.062 (68.841) Prec@5 82.812 (87.284) Epoch: [86][780/10010] Time 0.332 (0.330) Data 0.001 (0.004) Loss 1.1305 (1.3332) Prec@1 71.094 (68.878) Prec@5 93.750 (87.304) Epoch: [86][790/10010] Time 0.338 (0.330) Data 0.001 (0.004) Loss 1.4601 (1.3337) Prec@1 71.875 (68.889) Prec@5 83.594 (87.300) Epoch: [86][800/10010] Time 0.335 (0.330) Data 0.001 (0.004) Loss 1.7211 (1.3339) Prec@1 59.375 (68.899) Prec@5 84.375 (87.303) Epoch: [86][810/10010] Time 0.326 (0.330) Data 0.001 (0.004) Loss 1.3959 (1.3341) Prec@1 64.844 (68.897) Prec@5 86.719 (87.297) Epoch: [86][820/10010] Time 0.324 (0.330) Data 0.001 (0.004) Loss 1.6481 (1.3345) Prec@1 58.594 (68.897) Prec@5 82.812 (87.295) Epoch: [86][830/10010] Time 0.318 (0.330) Data 0.000 (0.004) Loss 1.2862 (1.3337) Prec@1 68.750 (68.920) Prec@5 87.500 (87.300) Epoch: [86][840/10010] Time 0.320 (0.330) Data 0.000 (0.004) Loss 1.1702 (1.3349) Prec@1 70.312 (68.893) Prec@5 89.844 (87.274) Epoch: [86][850/10010] Time 0.318 (0.330) Data 0.001 (0.003) Loss 1.2250 (1.3345) Prec@1 68.750 (68.886) Prec@5 89.062 (87.280) Epoch: [86][860/10010] Time 0.323 (0.330) Data 0.000 (0.003) Loss 1.5752 (1.3348) Prec@1 60.938 (68.878) Prec@5 85.156 (87.275) Epoch: [86][870/10010] Time 0.321 (0.329) Data 0.000 (0.003) Loss 1.1712 (1.3355) Prec@1 74.219 (68.871) Prec@5 91.406 (87.267) Epoch: [86][880/10010] Time 0.337 (0.329) Data 0.001 (0.003) Loss 1.5596 (1.3345) Prec@1 62.500 (68.879) Prec@5 82.031 (87.279) Epoch: [86][890/10010] Time 0.317 (0.329) Data 0.001 (0.003) Loss 1.5921 (1.3341) Prec@1 57.031 (68.883) Prec@5 85.156 (87.285) Epoch: [86][900/10010] Time 0.329 (0.329) Data 0.001 (0.003) Loss 1.2678 (1.3343) Prec@1 69.531 (68.878) Prec@5 88.281 (87.282) Epoch: [86][910/10010] Time 0.320 (0.329) Data 0.000 (0.003) Loss 1.3300 (1.3343) Prec@1 68.750 (68.879) Prec@5 86.719 (87.272) Epoch: [86][920/10010] Time 0.323 (0.329) Data 0.001 (0.003) Loss 1.1906 (1.3341) Prec@1 72.656 (68.865) Prec@5 87.500 (87.278) Epoch: [86][930/10010] Time 0.341 (0.329) Data 0.001 (0.003) Loss 1.2112 (1.3339) Prec@1 73.438 (68.873) Prec@5 90.625 (87.285) Epoch: [86][940/10010] Time 0.324 (0.329) Data 0.001 (0.003) Loss 1.6911 (1.3344) Prec@1 60.938 (68.867) Prec@5 80.469 (87.286) Epoch: [86][950/10010] Time 0.317 (0.329) Data 0.001 (0.003) Loss 1.4214 (1.3355) Prec@1 64.844 (68.844) Prec@5 87.500 (87.260) Epoch: [86][960/10010] Time 0.341 (0.329) Data 0.001 (0.003) Loss 1.2198 (1.3355) Prec@1 67.188 (68.839) Prec@5 90.625 (87.263) /data/vision/torralba/deepscene/lib/anaconda2/lib/python2.7/site-packages/PIL/TiffImagePlugin.py:709: UserWarning: Corrupt EXIF data. Expecting to read 4 bytes but only got 0. warnings.warn(str(msg)) Epoch: [86][970/10010] Time 0.327 (0.329) Data 0.001 (0.003) Loss 1.3560 (1.3350) Prec@1 73.438 (68.847) Prec@5 87.500 (87.267) Epoch: [86][980/10010] Time 0.340 (0.329) Data 0.000 (0.003) Loss 1.2026 (1.3342) Prec@1 64.062 (68.869) Prec@5 92.969 (87.278) Epoch: [86][990/10010] Time 0.336 (0.329) Data 0.001 (0.003) Loss 1.2656 (1.3341) Prec@1 71.875 (68.869) Prec@5 86.719 (87.279) Epoch: [86][1000/10010] Time 0.342 (0.329) Data 0.000 (0.003) Loss 1.3253 (1.3335) Prec@1 67.969 (68.883) Prec@5 85.156 (87.285) Epoch: [86][1010/10010] Time 0.325 (0.329) Data 0.000 (0.003) Loss 1.2320 (1.3326) Prec@1 69.531 (68.908) Prec@5 89.844 (87.301) Epoch: [86][1020/10010] Time 0.322 (0.329) Data 0.001 (0.003) Loss 1.1717 (1.3316) Prec@1 75.781 (68.924) Prec@5 89.062 (87.311) Epoch: [86][1030/10010] Time 0.333 (0.329) Data 0.001 (0.003) Loss 1.0923 (1.3311) Prec@1 72.656 (68.913) Prec@5 90.625 (87.319) Epoch: [86][1040/10010] Time 0.321 (0.329) Data 0.001 (0.003) Loss 1.2058 (1.3310) Prec@1 72.656 (68.927) Prec@5 89.062 (87.320) Epoch: [86][1050/10010] Time 0.334 (0.329) Data 0.001 (0.003) Loss 1.4444 (1.3307) Prec@1 67.969 (68.932) Prec@5 84.375 (87.321) Epoch: [86][1060/10010] Time 0.332 (0.329) Data 0.001 (0.003) Loss 1.0771 (1.3314) Prec@1 80.469 (68.922) Prec@5 89.844 (87.317) Epoch: [86][1070/10010] Time 0.336 (0.329) Data 0.001 (0.003) Loss 1.3222 (1.3318) Prec@1 71.875 (68.913) Prec@5 86.719 (87.316) Epoch: [86][1080/10010] Time 0.316 (0.329) Data 0.001 (0.003) Loss 1.1190 (1.3316) Prec@1 76.562 (68.923) Prec@5 88.281 (87.319) Epoch: [86][1090/10010] Time 0.341 (0.329) Data 0.000 (0.003) Loss 1.2923 (1.3316) Prec@1 69.531 (68.925) Prec@5 88.281 (87.321) Epoch: [86][1100/10010] Time 0.319 (0.329) Data 0.000 (0.003) Loss 1.3190 (1.3313) Prec@1 68.750 (68.927) Prec@5 90.625 (87.331) Epoch: [86][1110/10010] Time 0.323 (0.329) Data 0.001 (0.003) Loss 1.1378 (1.3305) Prec@1 68.750 (68.955) Prec@5 89.062 (87.338) Epoch: [86][1120/10010] Time 0.342 (0.329) Data 0.001 (0.003) Loss 1.3565 (1.3309) Prec@1 63.281 (68.947) Prec@5 89.062 (87.336) Epoch: [86][1130/10010] Time 0.313 (0.329) Data 0.001 (0.003) Loss 1.4667 (1.3307) Prec@1 63.281 (68.957) Prec@5 88.281 (87.340) Epoch: [86][1140/10010] Time 0.321 (0.329) Data 0.001 (0.003) Loss 1.4705 (1.3306) Prec@1 64.062 (68.955) Prec@5 83.594 (87.339) Epoch: [86][1150/10010] Time 0.327 (0.329) Data 0.000 (0.003) Loss 1.2551 (1.3310) Prec@1 68.750 (68.951) Prec@5 89.844 (87.332) Epoch: [86][1160/10010] Time 0.315 (0.329) Data 0.001 (0.003) Loss 1.1619 (1.3313) Prec@1 72.656 (68.949) Prec@5 88.281 (87.331) Epoch: [86][1170/10010] Time 0.316 (0.329) Data 0.001 (0.003) Loss 1.1504 (1.3310) Prec@1 75.781 (68.965) Prec@5 88.281 (87.332) Epoch: [86][1180/10010] Time 0.336 (0.329) Data 0.001 (0.003) Loss 1.3071 (1.3311) Prec@1 71.094 (68.973) Prec@5 89.844 (87.325) Epoch: [86][1190/10010] Time 0.329 (0.329) Data 0.001 (0.003) Loss 1.4843 (1.3312) Prec@1 63.281 (68.972) Prec@5 88.281 (87.319) Epoch: [86][1200/10010] Time 0.314 (0.329) Data 0.001 (0.003) Loss 1.1356 (1.3308) Prec@1 74.219 (68.977) Prec@5 90.625 (87.331) Epoch: [86][1210/10010] Time 0.340 (0.329) Data 0.001 (0.003) Loss 1.2184 (1.3306) Prec@1 68.750 (68.988) Prec@5 91.406 (87.337) Epoch: [86][1220/10010] Time 0.341 (0.329) Data 0.000 (0.003) Loss 1.3568 (1.3312) Prec@1 68.750 (68.963) Prec@5 85.938 (87.332) Epoch: [86][1230/10010] Time 0.339 (0.329) Data 0.001 (0.003) Loss 1.5811 (1.3317) Prec@1 62.500 (68.951) Prec@5 81.250 (87.322) Epoch: [86][1240/10010] Time 0.338 (0.329) Data 0.000 (0.003) Loss 1.4177 (1.3315) Prec@1 66.406 (68.963) Prec@5 83.594 (87.324) Epoch: [86][1250/10010] Time 0.319 (0.329) Data 0.001 (0.003) Loss 1.5563 (1.3320) Prec@1 65.625 (68.944) Prec@5 85.156 (87.323) Epoch: [86][1260/10010] Time 0.338 (0.329) Data 0.001 (0.003) Loss 1.3861 (1.3329) Prec@1 69.531 (68.935) Prec@5 87.500 (87.305) Epoch: [86][1270/10010] Time 0.338 (0.329) Data 0.001 (0.003) Loss 1.1933 (1.3335) Prec@1 74.219 (68.928) Prec@5 89.844 (87.289) Epoch: [86][1280/10010] Time 0.321 (0.329) Data 0.001 (0.003) Loss 0.9753 (1.3335) Prec@1 71.094 (68.923) Prec@5 91.406 (87.285) Epoch: [86][1290/10010] Time 0.337 (0.329) Data 0.001 (0.003) Loss 1.2318 (1.3332) Prec@1 72.656 (68.934) Prec@5 92.188 (87.295) Epoch: [86][1300/10010] Time 0.327 (0.329) Data 0.001 (0.003) Loss 1.4046 (1.3332) Prec@1 67.188 (68.932) Prec@5 85.938 (87.295) Epoch: [86][1310/10010] Time 0.320 (0.329) Data 0.001 (0.003) Loss 1.2094 (1.3334) Prec@1 75.781 (68.938) Prec@5 89.844 (87.292) Epoch: [86][1320/10010] Time 0.323 (0.329) Data 0.000 (0.002) Loss 1.4160 (1.3341) Prec@1 69.531 (68.927) Prec@5 84.375 (87.285) Epoch: [86][1330/10010] Time 0.338 (0.329) Data 0.000 (0.002) Loss 1.2147 (1.3339) Prec@1 71.875 (68.935) Prec@5 90.625 (87.292) Epoch: [86][1340/10010] Time 0.331 (0.329) Data 0.001 (0.002) Loss 1.1883 (1.3336) Prec@1 75.000 (68.944) Prec@5 89.844 (87.298) Epoch: [86][1350/10010] Time 0.336 (0.329) Data 0.001 (0.002) Loss 1.3478 (1.3339) Prec@1 70.312 (68.939) Prec@5 87.500 (87.294) Epoch: [86][1360/10010] Time 0.337 (0.329) Data 0.001 (0.002) Loss 1.3320 (1.3336) Prec@1 71.875 (68.938) Prec@5 86.719 (87.300) Epoch: [86][1370/10010] Time 0.331 (0.329) Data 0.000 (0.002) Loss 1.2949 (1.3336) Prec@1 75.000 (68.946) Prec@5 85.938 (87.299) Epoch: [86][1380/10010] Time 0.344 (0.329) Data 0.001 (0.002) Loss 1.3687 (1.3335) Prec@1 70.312 (68.950) Prec@5 85.938 (87.307) Epoch: [86][1390/10010] Time 0.332 (0.329) Data 0.000 (0.002) Loss 1.3159 (1.3337) Prec@1 69.531 (68.949) Prec@5 85.938 (87.303) Epoch: [86][1400/10010] Time 0.317 (0.329) Data 0.001 (0.002) Loss 1.1794 (1.3337) Prec@1 68.750 (68.949) Prec@5 89.062 (87.303) Epoch: [86][1410/10010] Time 0.318 (0.329) Data 0.001 (0.002) Loss 1.5442 (1.3335) Prec@1 66.406 (68.960) Prec@5 82.812 (87.307) Epoch: [86][1420/10010] Time 0.329 (0.329) Data 0.000 (0.002) Loss 1.1861 (1.3334) Prec@1 71.094 (68.958) Prec@5 87.500 (87.308) Epoch: [86][1430/10010] Time 0.337 (0.329) Data 0.001 (0.002) Loss 1.5981 (1.3339) Prec@1 66.406 (68.961) Prec@5 81.250 (87.296) Epoch: [86][1440/10010] Time 0.326 (0.329) Data 0.001 (0.002) Loss 1.2298 (1.3339) Prec@1 67.969 (68.959) Prec@5 90.625 (87.297) Epoch: [86][1450/10010] Time 0.335 (0.329) Data 0.001 (0.002) Loss 1.1081 (1.3343) Prec@1 71.875 (68.948) Prec@5 90.625 (87.295) Epoch: [86][1460/10010] Time 0.312 (0.329) Data 0.001 (0.002) Loss 1.0959 (1.3345) Prec@1 71.875 (68.951) Prec@5 90.625 (87.293) Epoch: [86][1470/10010] Time 0.317 (0.329) Data 0.001 (0.002) Loss 1.1111 (1.3339) Prec@1 68.750 (68.958) Prec@5 92.188 (87.296) Epoch: [86][1480/10010] Time 0.319 (0.329) Data 0.001 (0.002) Loss 1.3347 (1.3341) Prec@1 70.312 (68.957) Prec@5 87.500 (87.288) Epoch: [86][1490/10010] Time 0.341 (0.329) Data 0.000 (0.002) Loss 1.3463 (1.3339) Prec@1 67.188 (68.955) Prec@5 89.062 (87.293) Epoch: [86][1500/10010] Time 0.338 (0.329) Data 0.001 (0.002) Loss 1.4338 (1.3341) Prec@1 67.969 (68.946) Prec@5 88.281 (87.295) Epoch: [86][1510/10010] Time 0.326 (0.329) Data 0.001 (0.002) Loss 1.5660 (1.3341) Prec@1 66.406 (68.948) Prec@5 82.812 (87.297) Epoch: [86][1520/10010] Time 0.321 (0.329) Data 0.000 (0.002) Loss 1.1250 (1.3341) Prec@1 74.219 (68.947) Prec@5 91.406 (87.303) Epoch: [86][1530/10010] Time 0.315 (0.329) Data 0.001 (0.002) Loss 1.4504 (1.3343) Prec@1 67.969 (68.939) Prec@5 86.719 (87.295) Epoch: [86][1540/10010] Time 0.325 (0.329) Data 0.001 (0.002) Loss 1.4170 (1.3341) Prec@1 70.312 (68.957) Prec@5 86.719 (87.291) Epoch: [86][1550/10010] Time 0.315 (0.329) Data 0.000 (0.002) Loss 1.2527 (1.3341) Prec@1 71.094 (68.950) Prec@5 89.062 (87.291) Epoch: [86][1560/10010] Time 0.318 (0.328) Data 0.001 (0.002) Loss 1.4270 (1.3343) Prec@1 68.750 (68.951) Prec@5 86.719 (87.284) Epoch: [86][1570/10010] Time 0.338 (0.328) Data 0.001 (0.002) Loss 1.5684 (1.3347) Prec@1 69.531 (68.941) Prec@5 82.812 (87.275) Epoch: [86][1580/10010] Time 0.318 (0.328) Data 0.001 (0.002) Loss 1.1167 (1.3344) Prec@1 75.781 (68.950) Prec@5 89.844 (87.277) Epoch: [86][1590/10010] Time 0.320 (0.328) Data 0.001 (0.002) Loss 1.4340 (1.3344) Prec@1 67.188 (68.942) Prec@5 86.719 (87.280) Epoch: [86][1600/10010] Time 0.318 (0.328) Data 0.001 (0.002) Loss 1.1512 (1.3347) Prec@1 71.094 (68.944) Prec@5 89.062 (87.271) Epoch: [86][1610/10010] Time 0.322 (0.328) Data 0.001 (0.002) Loss 1.1881 (1.3347) Prec@1 71.875 (68.944) Prec@5 88.281 (87.269) Epoch: [86][1620/10010] Time 0.324 (0.328) Data 0.001 (0.002) Loss 1.1332 (1.3349) Prec@1 72.656 (68.945) Prec@5 89.844 (87.266) Epoch: [86][1630/10010] Time 0.322 (0.328) Data 0.001 (0.002) Loss 1.2143 (1.3347) Prec@1 75.000 (68.950) Prec@5 89.062 (87.267) Epoch: [86][1640/10010] Time 0.316 (0.328) Data 0.001 (0.002) Loss 1.4794 (1.3353) Prec@1 66.406 (68.939) Prec@5 89.062 (87.262) Epoch: [86][1650/10010] Time 0.330 (0.328) Data 0.000 (0.002) Loss 1.5989 (1.3352) Prec@1 64.062 (68.936) Prec@5 81.250 (87.263) Epoch: [86][1660/10010] Time 0.333 (0.328) Data 0.001 (0.002) Loss 1.2391 (1.3347) Prec@1 72.656 (68.950) Prec@5 86.719 (87.270) Epoch: [86][1670/10010] Time 0.329 (0.328) Data 0.001 (0.002) Loss 1.3707 (1.3345) Prec@1 70.312 (68.962) Prec@5 87.500 (87.273) Epoch: [86][1680/10010] Time 0.317 (0.328) Data 0.001 (0.002) Loss 1.3167 (1.3349) Prec@1 67.969 (68.956) Prec@5 89.062 (87.262) Epoch: [86][1690/10010] Time 0.325 (0.328) Data 0.001 (0.002) Loss 1.3976 (1.3349) Prec@1 65.625 (68.955) Prec@5 89.844 (87.263) Epoch: [86][1700/10010] Time 0.326 (0.328) Data 0.000 (0.002) Loss 1.2285 (1.3345) Prec@1 65.625 (68.959) Prec@5 88.281 (87.274) Epoch: [86][1710/10010] Time 0.320 (0.328) Data 0.001 (0.002) Loss 1.2491 (1.3344) Prec@1 69.531 (68.954) Prec@5 89.062 (87.272) Epoch: [86][1720/10010] Time 0.337 (0.328) Data 0.000 (0.002) Loss 1.0702 (1.3345) Prec@1 73.438 (68.947) Prec@5 92.969 (87.268) Epoch: [86][1730/10010] Time 0.321 (0.328) Data 0.001 (0.002) Loss 1.2824 (1.3347) Prec@1 72.656 (68.940) Prec@5 90.625 (87.269) Epoch: [86][1740/10010] Time 0.328 (0.328) Data 0.000 (0.002) Loss 1.5350 (1.3344) Prec@1 65.625 (68.957) Prec@5 82.812 (87.270) Epoch: [86][1750/10010] Time 0.317 (0.328) Data 0.001 (0.002) Loss 1.3099 (1.3343) Prec@1 78.125 (68.969) Prec@5 87.500 (87.272) Epoch: [86][1760/10010] Time 0.322 (0.328) Data 0.000 (0.002) Loss 1.2911 (1.3344) Prec@1 65.625 (68.965) Prec@5 89.844 (87.267) Epoch: [86][1770/10010] Time 0.340 (0.328) Data 0.000 (0.002) Loss 1.3535 (1.3345) Prec@1 66.406 (68.964) Prec@5 88.281 (87.266) Epoch: [86][1780/10010] Time 0.315 (0.328) Data 0.001 (0.002) Loss 1.4052 (1.3347) Prec@1 70.312 (68.957) Prec@5 85.938 (87.264) Epoch: [86][1790/10010] Time 0.336 (0.328) Data 0.000 (0.002) Loss 1.5142 (1.3347) Prec@1 71.094 (68.962) Prec@5 83.594 (87.267) Epoch: [86][1800/10010] Time 0.342 (0.328) Data 0.000 (0.002) Loss 1.2793 (1.3347) Prec@1 71.094 (68.963) Prec@5 89.062 (87.269) Epoch: [86][1810/10010] Time 0.328 (0.328) Data 0.001 (0.002) Loss 1.4063 (1.3347) Prec@1 67.969 (68.959) Prec@5 87.500 (87.269) Epoch: [86][1820/10010] Time 0.320 (0.328) Data 0.001 (0.002) Loss 1.1893 (1.3345) Prec@1 74.219 (68.962) Prec@5 88.281 (87.272) Epoch: [86][1830/10010] Time 0.323 (0.328) Data 0.001 (0.002) Loss 1.3176 (1.3344) Prec@1 65.625 (68.966) Prec@5 85.938 (87.270) Epoch: [86][1840/10010] Time 0.315 (0.328) Data 0.001 (0.002) Loss 1.0718 (1.3350) Prec@1 70.312 (68.955) Prec@5 91.406 (87.264) Epoch: [86][1850/10010] Time 0.320 (0.328) Data 0.001 (0.002) Loss 1.5399 (1.3352) Prec@1 68.750 (68.953) Prec@5 86.719 (87.257) Epoch: [86][1860/10010] Time 0.319 (0.328) Data 0.001 (0.002) Loss 1.3658 (1.3349) Prec@1 67.969 (68.963) Prec@5 88.281 (87.257) Epoch: [86][1870/10010] Time 0.345 (0.328) Data 0.001 (0.002) Loss 1.3747 (1.3352) Prec@1 69.531 (68.957) Prec@5 89.062 (87.254) Epoch: [86][1880/10010] Time 0.314 (0.328) Data 0.000 (0.002) Loss 1.2160 (1.3349) Prec@1 74.219 (68.965) Prec@5 89.062 (87.260) Epoch: [86][1890/10010] Time 0.322 (0.328) Data 0.000 (0.002) Loss 1.3062 (1.3351) Prec@1 67.188 (68.959) Prec@5 88.281 (87.254) Epoch: [86][1900/10010] Time 0.344 (0.328) Data 0.000 (0.002) Loss 1.0745 (1.3354) Prec@1 70.312 (68.945) Prec@5 91.406 (87.250) Epoch: [86][1910/10010] Time 0.336 (0.328) Data 0.001 (0.002) Loss 1.4938 (1.3353) Prec@1 65.625 (68.940) Prec@5 85.938 (87.250) Epoch: [86][1920/10010] Time 0.317 (0.328) Data 0.001 (0.002) Loss 1.3058 (1.3352) Prec@1 70.312 (68.938) Prec@5 87.500 (87.251) Epoch: [86][1930/10010] Time 0.332 (0.328) Data 0.001 (0.002) Loss 0.9892 (1.3350) Prec@1 76.562 (68.947) Prec@5 90.625 (87.250) Epoch: [86][1940/10010] Time 0.322 (0.328) Data 0.000 (0.002) Loss 0.9932 (1.3356) Prec@1 75.000 (68.934) Prec@5 91.406 (87.243) Epoch: [86][1950/10010] Time 0.320 (0.328) Data 0.000 (0.002) Loss 1.4804 (1.3357) Prec@1 66.406 (68.924) Prec@5 85.156 (87.243) Epoch: [86][1960/10010] Time 0.330 (0.328) Data 0.000 (0.002) Loss 1.4062 (1.3360) Prec@1 67.188 (68.919) Prec@5 87.500 (87.237) Epoch: [86][1970/10010] Time 0.322 (0.328) Data 0.001 (0.002) Loss 1.2992 (1.3356) Prec@1 67.969 (68.926) Prec@5 89.062 (87.245) Epoch: [86][1980/10010] Time 0.318 (0.328) Data 0.000 (0.002) Loss 1.3732 (1.3358) Prec@1 67.969 (68.917) Prec@5 85.938 (87.246) Epoch: [86][1990/10010] Time 0.329 (0.328) Data 0.001 (0.002) Loss 1.3873 (1.3363) Prec@1 68.750 (68.911) Prec@5 87.500 (87.242) Epoch: [86][2000/10010] Time 0.311 (0.328) Data 0.001 (0.002) Loss 1.2326 (1.3361) Prec@1 74.219 (68.914) Prec@5 89.844 (87.247) Epoch: [86][2010/10010] Time 0.321 (0.328) Data 0.000 (0.002) Loss 1.5260 (1.3360) Prec@1 61.719 (68.912) Prec@5 83.594 (87.245) Epoch: [86][2020/10010] Time 0.337 (0.328) Data 0.001 (0.002) Loss 1.2179 (1.3357) Prec@1 68.750 (68.917) Prec@5 91.406 (87.253) Epoch: [86][2030/10010] Time 0.317 (0.328) Data 0.000 (0.002) Loss 1.3859 (1.3360) Prec@1 64.844 (68.912) Prec@5 87.500 (87.250) Epoch: [86][2040/10010] Time 0.322 (0.328) Data 0.001 (0.002) Loss 1.4907 (1.3357) Prec@1 64.062 (68.921) Prec@5 86.719 (87.259) Epoch: [86][2050/10010] Time 0.337 (0.328) Data 0.001 (0.002) Loss 1.5141 (1.3359) Prec@1 60.938 (68.918) Prec@5 84.375 (87.254) Epoch: [86][2060/10010] Time 0.322 (0.328) Data 0.001 (0.002) Loss 1.2507 (1.3359) Prec@1 66.406 (68.913) Prec@5 89.844 (87.249) Epoch: [86][2070/10010] Time 0.319 (0.328) Data 0.001 (0.002) Loss 1.5519 (1.3357) Prec@1 64.062 (68.915) Prec@5 82.812 (87.252) Epoch: [86][2080/10010] Time 0.316 (0.328) Data 0.001 (0.002) Loss 1.3771 (1.3356) Prec@1 65.625 (68.919) Prec@5 85.156 (87.254) Epoch: [86][2090/10010] Time 0.340 (0.328) Data 0.000 (0.002) Loss 1.3304 (1.3355) Prec@1 70.312 (68.919) Prec@5 87.500 (87.255) Epoch: [86][2100/10010] Time 0.332 (0.328) Data 0.002 (0.002) Loss 1.0332 (1.3355) Prec@1 74.219 (68.911) Prec@5 89.844 (87.255) /data/vision/torralba/deepscene/lib/anaconda2/lib/python2.7/site-packages/PIL/TiffImagePlugin.py:692: UserWarning: Possibly corrupt EXIF data. Expecting to read 2555904 bytes but only got 0. Skipping tag 0 "Skipping tag %s" % (size, len(data), tag)) Epoch: [86][2110/10010] Time 0.314 (0.328) Data 0.001 (0.002) Loss 1.6126 (1.3359) Prec@1 67.969 (68.910) Prec@5 82.812 (87.249) Epoch: [86][2120/10010] Time 0.332 (0.328) Data 0.001 (0.002) Loss 1.2620 (1.3358) Prec@1 69.531 (68.906) Prec@5 87.500 (87.244) Epoch: [86][2130/10010] Time 0.344 (0.328) Data 0.001 (0.002) Loss 1.2000 (1.3359) Prec@1 74.219 (68.907) Prec@5 90.625 (87.243) Epoch: [86][2140/10010] Time 0.328 (0.328) Data 0.000 (0.002) Loss 1.4994 (1.3358) Prec@1 60.938 (68.912) Prec@5 83.594 (87.241) Epoch: [86][2150/10010] Time 0.319 (0.328) Data 0.000 (0.002) Loss 0.9386 (1.3358) Prec@1 79.688 (68.911) Prec@5 92.969 (87.243) Epoch: [86][2160/10010] Time 0.334 (0.328) Data 0.001 (0.002) Loss 1.3203 (1.3355) Prec@1 71.094 (68.916) Prec@5 87.500 (87.245) Epoch: [86][2170/10010] Time 0.345 (0.328) Data 0.000 (0.002) Loss 1.3085 (1.3356) Prec@1 69.531 (68.915) Prec@5 85.156 (87.242) Epoch: [86][2180/10010] Time 0.329 (0.328) Data 0.000 (0.002) Loss 1.1814 (1.3354) Prec@1 71.094 (68.913) Prec@5 87.500 (87.241) Epoch: [86][2190/10010] Time 0.323 (0.328) Data 0.001 (0.002) Loss 1.0594 (1.3351) Prec@1 75.781 (68.919) Prec@5 89.844 (87.245) Epoch: [86][2200/10010] Time 0.316 (0.328) Data 0.001 (0.002) Loss 1.3114 (1.3349) Prec@1 71.094 (68.926) Prec@5 86.719 (87.243) Epoch: [86][2210/10010] Time 0.345 (0.328) Data 0.001 (0.002) Loss 1.3549 (1.3352) Prec@1 70.312 (68.919) Prec@5 87.500 (87.240) Epoch: [86][2220/10010] Time 0.315 (0.328) Data 0.001 (0.002) Loss 1.6165 (1.3357) Prec@1 59.375 (68.906) Prec@5 84.375 (87.232) Epoch: [86][2230/10010] Time 0.321 (0.328) Data 0.000 (0.002) Loss 1.4869 (1.3360) Prec@1 62.500 (68.898) Prec@5 84.375 (87.231) Epoch: [86][2240/10010] Time 0.311 (0.328) Data 0.001 (0.002) Loss 1.3521 (1.3361) Prec@1 67.969 (68.897) Prec@5 85.156 (87.229) Epoch: [86][2250/10010] Time 0.334 (0.328) Data 0.001 (0.002) Loss 1.3699 (1.3362) Prec@1 65.625 (68.894) Prec@5 86.719 (87.228) Epoch: [86][2260/10010] Time 0.330 (0.328) Data 0.001 (0.002) Loss 1.2947 (1.3364) Prec@1 67.188 (68.895) Prec@5 85.156 (87.226) Epoch: [86][2270/10010] Time 0.344 (0.328) Data 0.001 (0.002) Loss 1.3756 (1.3364) Prec@1 69.531 (68.891) Prec@5 86.719 (87.228) Epoch: [86][2280/10010] Time 0.324 (0.328) Data 0.001 (0.002) Loss 1.3214 (1.3367) Prec@1 69.531 (68.884) Prec@5 88.281 (87.225) Epoch: [86][2290/10010] Time 0.335 (0.328) Data 0.001 (0.002) Loss 1.4272 (1.3368) Prec@1 67.969 (68.885) Prec@5 84.375 (87.227) Epoch: [86][2300/10010] Time 0.333 (0.328) Data 0.001 (0.002) Loss 1.1255 (1.3370) Prec@1 70.312 (68.881) Prec@5 90.625 (87.222) Epoch: [86][2310/10010] Time 0.317 (0.328) Data 0.001 (0.002) Loss 1.2790 (1.3372) Prec@1 71.094 (68.884) Prec@5 88.281 (87.220) Epoch: [86][2320/10010] Time 0.341 (0.328) Data 0.001 (0.002) Loss 1.3240 (1.3373) Prec@1 68.750 (68.879) Prec@5 86.719 (87.218) Epoch: [86][2330/10010] Time 0.339 (0.328) Data 0.001 (0.002) Loss 1.2116 (1.3373) Prec@1 71.875 (68.875) Prec@5 85.156 (87.219) Epoch: [86][2340/10010] Time 0.326 (0.328) Data 0.001 (0.002) Loss 1.4755 (1.3374) Prec@1 71.094 (68.871) Prec@5 83.594 (87.214) Epoch: [86][2350/10010] Time 0.322 (0.328) Data 0.001 (0.002) Loss 1.3226 (1.3375) Prec@1 67.969 (68.870) Prec@5 87.500 (87.215) Epoch: [86][2360/10010] Time 0.338 (0.328) Data 0.001 (0.002) Loss 1.3789 (1.3373) Prec@1 67.969 (68.872) Prec@5 88.281 (87.214) Epoch: [86][2370/10010] Time 0.338 (0.328) Data 0.001 (0.002) Loss 1.4531 (1.3374) Prec@1 68.750 (68.874) Prec@5 85.156 (87.210) Epoch: [86][2380/10010] Time 0.323 (0.328) Data 0.001 (0.002) Loss 1.1366 (1.3375) Prec@1 73.438 (68.870) Prec@5 91.406 (87.207) Epoch: [86][2390/10010] Time 0.343 (0.328) Data 0.001 (0.002) Loss 1.2461 (1.3372) Prec@1 70.312 (68.872) Prec@5 90.625 (87.210) Epoch: [86][2400/10010] Time 0.322 (0.328) Data 0.001 (0.002) Loss 1.2424 (1.3372) Prec@1 71.875 (68.877) Prec@5 91.406 (87.210) Epoch: [86][2410/10010] Time 0.331 (0.328) Data 0.001 (0.002) Loss 1.2342 (1.3371) Prec@1 72.656 (68.878) Prec@5 87.500 (87.213) Epoch: [86][2420/10010] Time 0.319 (0.328) Data 0.001 (0.002) Loss 1.3067 (1.3370) Prec@1 67.188 (68.877) Prec@5 85.938 (87.213) Epoch: [86][2430/10010] Time 0.333 (0.328) Data 0.001 (0.002) Loss 1.3739 (1.3374) Prec@1 67.969 (68.873) Prec@5 85.156 (87.205) Epoch: [86][2440/10010] Time 0.315 (0.328) Data 0.000 (0.002) Loss 1.4053 (1.3377) Prec@1 66.406 (68.870) Prec@5 89.844 (87.204) Epoch: [86][2450/10010] Time 0.347 (0.328) Data 0.000 (0.002) Loss 1.3573 (1.3376) Prec@1 64.062 (68.873) Prec@5 86.719 (87.204) Epoch: [86][2460/10010] Time 0.321 (0.328) Data 0.001 (0.002) Loss 1.3675 (1.3374) Prec@1 64.062 (68.871) Prec@5 83.594 (87.207) Epoch: [86][2470/10010] Time 0.328 (0.328) Data 0.000 (0.002) Loss 1.3882 (1.3374) Prec@1 66.406 (68.864) Prec@5 88.281 (87.211) Epoch: [86][2480/10010] Time 0.308 (0.328) Data 0.001 (0.002) Loss 1.4580 (1.3374) Prec@1 64.844 (68.865) Prec@5 83.594 (87.209) Epoch: [86][2490/10010] Time 0.339 (0.328) Data 0.001 (0.002) Loss 1.1018 (1.3374) Prec@1 70.312 (68.871) Prec@5 93.750 (87.208) Epoch: [86][2500/10010] Time 0.331 (0.328) Data 0.001 (0.002) Loss 1.2559 (1.3370) Prec@1 66.406 (68.879) Prec@5 89.062 (87.215) Epoch: [86][2510/10010] Time 0.332 (0.328) Data 0.001 (0.002) Loss 1.7003 (1.3372) Prec@1 62.500 (68.881) Prec@5 82.812 (87.215) Epoch: [86][2520/10010] Time 0.315 (0.328) Data 0.001 (0.002) Loss 1.2025 (1.3370) Prec@1 71.094 (68.879) Prec@5 85.938 (87.220) Epoch: [86][2530/10010] Time 0.341 (0.328) Data 0.001 (0.002) Loss 1.2206 (1.3374) Prec@1 73.438 (68.867) Prec@5 88.281 (87.215) Epoch: [86][2540/10010] Time 0.318 (0.328) Data 0.001 (0.002) Loss 1.4453 (1.3377) Prec@1 63.281 (68.863) Prec@5 89.062 (87.210) Epoch: [86][2550/10010] Time 0.337 (0.328) Data 0.001 (0.002) Loss 1.1283 (1.3375) Prec@1 72.656 (68.866) Prec@5 91.406 (87.214) Epoch: [86][2560/10010] Time 0.332 (0.328) Data 0.001 (0.002) Loss 1.2223 (1.3373) Prec@1 71.875 (68.872) Prec@5 86.719 (87.216) Epoch: [86][2570/10010] Time 0.333 (0.328) Data 0.001 (0.002) Loss 1.3841 (1.3373) Prec@1 63.281 (68.870) Prec@5 87.500 (87.215) Epoch: [86][2580/10010] Time 0.327 (0.328) Data 0.001 (0.002) Loss 1.6463 (1.3374) Prec@1 64.062 (68.867) Prec@5 82.812 (87.215) Epoch: [86][2590/10010] Time 0.336 (0.328) Data 0.001 (0.002) Loss 1.2440 (1.3374) Prec@1 71.094 (68.867) Prec@5 87.500 (87.216) Epoch: [86][2600/10010] Time 0.321 (0.328) Data 0.001 (0.002) Loss 1.3556 (1.3377) Prec@1 64.844 (68.860) Prec@5 89.062 (87.214) Epoch: [86][2610/10010] Time 0.326 (0.328) Data 0.000 (0.002) Loss 1.4505 (1.3379) Prec@1 69.531 (68.854) Prec@5 83.594 (87.213) Epoch: [86][2620/10010] Time 0.324 (0.328) Data 0.001 (0.002) Loss 1.4651 (1.3375) Prec@1 63.281 (68.863) Prec@5 86.719 (87.219) Epoch: [86][2630/10010] Time 0.316 (0.328) Data 0.001 (0.002) Loss 1.4476 (1.3375) Prec@1 68.750 (68.863) Prec@5 85.938 (87.219) Epoch: [86][2640/10010] Time 0.329 (0.328) Data 0.001 (0.002) Loss 1.4817 (1.3377) Prec@1 64.844 (68.859) Prec@5 87.500 (87.218) Epoch: [86][2650/10010] Time 0.335 (0.328) Data 0.001 (0.002) Loss 1.2666 (1.3377) Prec@1 71.094 (68.854) Prec@5 87.500 (87.216) Epoch: [86][2660/10010] Time 0.332 (0.328) Data 0.001 (0.002) Loss 1.3976 (1.3374) Prec@1 66.406 (68.859) Prec@5 86.719 (87.216) Epoch: [86][2670/10010] Time 0.327 (0.328) Data 0.001 (0.002) Loss 1.3463 (1.3376) Prec@1 69.531 (68.856) Prec@5 84.375 (87.214) Epoch: [86][2680/10010] Time 0.314 (0.328) Data 0.001 (0.002) Loss 1.3058 (1.3372) Prec@1 71.094 (68.865) Prec@5 86.719 (87.219) Epoch: [86][2690/10010] Time 0.315 (0.328) Data 0.001 (0.002) Loss 1.2937 (1.3371) Prec@1 71.094 (68.874) Prec@5 89.844 (87.220) Epoch: [86][2700/10010] Time 0.321 (0.328) Data 0.001 (0.002) Loss 1.2755 (1.3371) Prec@1 67.188 (68.876) Prec@5 86.719 (87.220) Epoch: [86][2710/10010] Time 0.332 (0.328) Data 0.000 (0.002) Loss 1.2695 (1.3372) Prec@1 75.000 (68.879) Prec@5 89.062 (87.217) Epoch: [86][2720/10010] Time 0.323 (0.328) Data 0.000 (0.002) Loss 1.3278 (1.3369) Prec@1 70.312 (68.887) Prec@5 87.500 (87.223) Epoch: [86][2730/10010] Time 0.333 (0.328) Data 0.000 (0.002) Loss 1.6731 (1.3369) Prec@1 59.375 (68.882) Prec@5 79.688 (87.218) Epoch: [86][2740/10010] Time 0.322 (0.328) Data 0.001 (0.002) Loss 1.3821 (1.3369) Prec@1 77.344 (68.888) Prec@5 87.500 (87.220) Epoch: [86][2750/10010] Time 0.337 (0.328) Data 0.000 (0.002) Loss 1.3258 (1.3368) Prec@1 68.750 (68.888) Prec@5 86.719 (87.221) Epoch: [86][2760/10010] Time 0.334 (0.328) Data 0.001 (0.002) Loss 1.1187 (1.3368) Prec@1 76.562 (68.888) Prec@5 89.844 (87.224) Epoch: [86][2770/10010] Time 0.325 (0.328) Data 0.000 (0.002) Loss 1.3867 (1.3370) Prec@1 67.188 (68.879) Prec@5 88.281 (87.224) Epoch: [86][2780/10010] Time 0.333 (0.328) Data 0.001 (0.002) Loss 1.2644 (1.3367) Prec@1 66.406 (68.883) Prec@5 87.500 (87.226) Epoch: [86][2790/10010] Time 0.326 (0.328) Data 0.000 (0.002) Loss 1.3595 (1.3370) Prec@1 68.750 (68.880) Prec@5 86.719 (87.223) Epoch: [86][2800/10010] Time 0.323 (0.328) Data 0.001 (0.002) Loss 1.3654 (1.3372) Prec@1 65.625 (68.873) Prec@5 87.500 (87.221) Epoch: [86][2810/10010] Time 0.317 (0.328) Data 0.000 (0.002) Loss 1.4135 (1.3372) Prec@1 70.312 (68.874) Prec@5 85.938 (87.221) Epoch: [86][2820/10010] Time 0.320 (0.328) Data 0.001 (0.002) Loss 1.6053 (1.3370) Prec@1 66.406 (68.880) Prec@5 84.375 (87.224) Epoch: [86][2830/10010] Time 0.311 (0.328) Data 0.001 (0.002) Loss 1.1836 (1.3372) Prec@1 71.875 (68.874) Prec@5 90.625 (87.220) Epoch: [86][2840/10010] Time 0.333 (0.328) Data 0.001 (0.002) Loss 1.3113 (1.3372) Prec@1 66.406 (68.870) Prec@5 87.500 (87.219) Epoch: [86][2850/10010] Time 0.322 (0.328) Data 0.001 (0.002) Loss 1.2539 (1.3370) Prec@1 75.000 (68.877) Prec@5 87.500 (87.220) Epoch: [86][2860/10010] Time 0.323 (0.328) Data 0.000 (0.002) Loss 1.2376 (1.3370) Prec@1 71.875 (68.879) Prec@5 87.500 (87.218) Epoch: [86][2870/10010] Time 0.333 (0.328) Data 0.001 (0.002) Loss 1.4635 (1.3373) Prec@1 64.844 (68.870) Prec@5 86.719 (87.217) Epoch: [86][2880/10010] Time 0.322 (0.328) Data 0.000 (0.002) Loss 1.1394 (1.3373) Prec@1 72.656 (68.869) Prec@5 89.844 (87.214) Epoch: [86][2890/10010] Time 0.321 (0.328) Data 0.000 (0.002) Loss 1.4452 (1.3376) Prec@1 67.188 (68.861) Prec@5 86.719 (87.211) Epoch: [86][2900/10010] Time 0.326 (0.327) Data 0.000 (0.001) Loss 1.0365 (1.3378) Prec@1 75.000 (68.859) Prec@5 90.625 (87.209) Epoch: [86][2910/10010] Time 0.338 (0.327) Data 0.000 (0.001) Loss 1.5230 (1.3379) Prec@1 68.750 (68.858) Prec@5 83.594 (87.206) Epoch: [86][2920/10010] Time 0.312 (0.327) Data 0.001 (0.001) Loss 1.4976 (1.3381) Prec@1 64.844 (68.851) Prec@5 83.594 (87.207) Epoch: [86][2930/10010] Time 0.313 (0.327) Data 0.001 (0.001) Loss 1.8182 (1.3384) Prec@1 64.844 (68.845) Prec@5 78.125 (87.203) Epoch: [86][2940/10010] Time 0.329 (0.327) Data 0.001 (0.001) Loss 1.3751 (1.3385) Prec@1 70.312 (68.839) Prec@5 85.938 (87.202) Epoch: [86][2950/10010] Time 0.327 (0.327) Data 0.001 (0.001) Loss 1.2795 (1.3383) Prec@1 71.094 (68.845) Prec@5 89.844 (87.207) Epoch: [86][2960/10010] Time 0.331 (0.327) Data 0.001 (0.001) Loss 1.2794 (1.3383) Prec@1 73.438 (68.849) Prec@5 88.281 (87.207) Epoch: [86][2970/10010] Time 0.322 (0.327) Data 0.001 (0.001) Loss 1.0933 (1.3383) Prec@1 74.219 (68.851) Prec@5 89.844 (87.207) Epoch: [86][2980/10010] Time 0.334 (0.327) Data 0.001 (0.001) Loss 1.4322 (1.3386) Prec@1 60.156 (68.847) Prec@5 86.719 (87.201) Epoch: [86][2990/10010] Time 0.319 (0.327) Data 0.001 (0.001) Loss 1.2348 (1.3386) Prec@1 71.094 (68.842) Prec@5 87.500 (87.199) Epoch: [86][3000/10010] Time 0.337 (0.327) Data 0.001 (0.001) Loss 1.3281 (1.3385) Prec@1 71.875 (68.843) Prec@5 87.500 (87.201) Epoch: [86][3010/10010] Time 0.322 (0.327) Data 0.001 (0.001) Loss 1.5193 (1.3388) Prec@1 60.938 (68.837) Prec@5 85.156 (87.193) Epoch: [86][3020/10010] Time 0.321 (0.327) Data 0.001 (0.001) Loss 1.2860 (1.3385) Prec@1 71.875 (68.842) Prec@5 84.375 (87.196) Epoch: [86][3030/10010] Time 0.328 (0.327) Data 0.001 (0.001) Loss 1.5702 (1.3386) Prec@1 64.062 (68.840) Prec@5 82.812 (87.195) Epoch: [86][3040/10010] Time 0.324 (0.327) Data 0.001 (0.001) Loss 1.1829 (1.3385) Prec@1 71.094 (68.838) Prec@5 91.406 (87.197) Epoch: [86][3050/10010] Time 0.320 (0.327) Data 0.001 (0.001) Loss 1.2639 (1.3390) Prec@1 71.875 (68.828) Prec@5 89.062 (87.189) Epoch: [86][3060/10010] Time 0.326 (0.327) Data 0.001 (0.001) Loss 1.3277 (1.3391) Prec@1 66.406 (68.829) Prec@5 84.375 (87.188) Epoch: [86][3070/10010] Time 0.325 (0.327) Data 0.001 (0.001) Loss 1.7709 (1.3392) Prec@1 59.375 (68.822) Prec@5 78.906 (87.184) Epoch: [86][3080/10010] Time 0.341 (0.327) Data 0.001 (0.001) Loss 1.4946 (1.3395) Prec@1 61.719 (68.814) Prec@5 85.156 (87.182) Epoch: [86][3090/10010] Time 0.319 (0.327) Data 0.000 (0.001) Loss 1.3441 (1.3394) Prec@1 67.969 (68.818) Prec@5 88.281 (87.184) Epoch: [86][3100/10010] Time 0.322 (0.327) Data 0.000 (0.001) Loss 1.3478 (1.3392) Prec@1 66.406 (68.819) Prec@5 85.938 (87.185) Epoch: [86][3110/10010] Time 0.317 (0.327) Data 0.000 (0.001) Loss 1.1196 (1.3392) Prec@1 75.781 (68.817) Prec@5 87.500 (87.182) Epoch: [86][3120/10010] Time 0.332 (0.327) Data 0.001 (0.001) Loss 1.4239 (1.3396) Prec@1 74.219 (68.809) Prec@5 85.938 (87.177) Epoch: [86][3130/10010] Time 0.324 (0.327) Data 0.001 (0.001) Loss 1.4907 (1.3397) Prec@1 63.281 (68.801) Prec@5 86.719 (87.180) Epoch: [86][3140/10010] Time 0.320 (0.327) Data 0.001 (0.001) Loss 1.5559 (1.3397) Prec@1 66.406 (68.797) Prec@5 82.812 (87.183) Epoch: [86][3150/10010] Time 0.337 (0.327) Data 0.001 (0.001) Loss 1.6245 (1.3398) Prec@1 62.500 (68.794) Prec@5 79.688 (87.181) Epoch: [86][3160/10010] Time 0.333 (0.327) Data 0.001 (0.001) Loss 1.1942 (1.3401) Prec@1 71.094 (68.790) Prec@5 89.844 (87.180) Epoch: [86][3170/10010] Time 0.335 (0.327) Data 0.001 (0.001) Loss 1.3277 (1.3401) Prec@1 68.750 (68.792) Prec@5 92.188 (87.180) Epoch: [86][3180/10010] Time 0.315 (0.327) Data 0.001 (0.001) Loss 1.2657 (1.3400) Prec@1 76.562 (68.796) Prec@5 88.281 (87.182) Epoch: [86][3190/10010] Time 0.336 (0.327) Data 0.001 (0.001) Loss 1.3442 (1.3398) Prec@1 72.656 (68.801) Prec@5 85.938 (87.187) Epoch: [86][3200/10010] Time 0.315 (0.327) Data 0.001 (0.001) Loss 1.1616 (1.3398) Prec@1 76.562 (68.806) Prec@5 90.625 (87.184) Epoch: [86][3210/10010] Time 0.340 (0.327) Data 0.001 (0.001) Loss 1.4055 (1.3399) Prec@1 67.188 (68.802) Prec@5 89.062 (87.182) Epoch: [86][3220/10010] Time 0.314 (0.327) Data 0.001 (0.001) Loss 1.6533 (1.3399) Prec@1 60.938 (68.799) Prec@5 82.031 (87.180) Epoch: [86][3230/10010] Time 0.318 (0.327) Data 0.001 (0.001) Loss 1.1395 (1.3397) Prec@1 71.875 (68.804) Prec@5 91.406 (87.180) Epoch: [86][3240/10010] Time 0.316 (0.327) Data 0.001 (0.001) Loss 1.2622 (1.3397) Prec@1 73.438 (68.806) Prec@5 87.500 (87.179) Epoch: [86][3250/10010] Time 0.323 (0.327) Data 0.001 (0.001) Loss 1.4388 (1.3399) Prec@1 66.406 (68.807) Prec@5 88.281 (87.175) Epoch: [86][3260/10010] Time 0.330 (0.327) Data 0.000 (0.001) Loss 1.3504 (1.3400) Prec@1 68.750 (68.802) Prec@5 83.594 (87.172) Epoch: [86][3270/10010] Time 0.342 (0.327) Data 0.001 (0.001) Loss 1.5383 (1.3398) Prec@1 63.281 (68.800) Prec@5 85.156 (87.176) Epoch: [86][3280/10010] Time 0.344 (0.327) Data 0.001 (0.001) Loss 1.1315 (1.3399) Prec@1 72.656 (68.795) Prec@5 89.844 (87.174) Epoch: [86][3290/10010] Time 0.340 (0.327) Data 0.001 (0.001) Loss 1.4256 (1.3400) Prec@1 69.531 (68.792) Prec@5 84.375 (87.174) Epoch: [86][3300/10010] Time 0.320 (0.327) Data 0.000 (0.001) Loss 1.1009 (1.3401) Prec@1 71.875 (68.791) Prec@5 90.625 (87.173) Epoch: [86][3310/10010] Time 0.323 (0.327) Data 0.001 (0.001) Loss 0.9906 (1.3401) Prec@1 75.000 (68.794) Prec@5 90.625 (87.170) Epoch: [86][3320/10010] Time 0.320 (0.327) Data 0.000 (0.001) Loss 1.4581 (1.3400) Prec@1 67.188 (68.794) Prec@5 85.938 (87.171) Epoch: [86][3330/10010] Time 0.339 (0.327) Data 0.000 (0.001) Loss 1.7145 (1.3401) Prec@1 64.062 (68.791) Prec@5 81.250 (87.167) Epoch: [86][3340/10010] Time 0.326 (0.327) Data 0.001 (0.001) Loss 1.3404 (1.3401) Prec@1 66.406 (68.787) Prec@5 88.281 (87.166) Epoch: [86][3350/10010] Time 0.317 (0.327) Data 0.001 (0.001) Loss 1.5110 (1.3403) Prec@1 69.531 (68.784) Prec@5 82.812 (87.161) Epoch: [86][3360/10010] Time 0.325 (0.327) Data 0.001 (0.001) Loss 1.2173 (1.3403) Prec@1 69.531 (68.781) Prec@5 89.844 (87.163) Epoch: [86][3370/10010] Time 0.320 (0.327) Data 0.001 (0.001) Loss 1.3450 (1.3404) Prec@1 67.188 (68.780) Prec@5 89.062 (87.162) Epoch: [86][3380/10010] Time 0.318 (0.327) Data 0.001 (0.001) Loss 1.7784 (1.3408) Prec@1 60.938 (68.772) Prec@5 80.469 (87.158) Epoch: [86][3390/10010] Time 0.337 (0.327) Data 0.001 (0.001) Loss 1.3370 (1.3406) Prec@1 69.531 (68.776) Prec@5 82.812 (87.162) Epoch: [86][3400/10010] Time 0.338 (0.327) Data 0.001 (0.001) Loss 1.5363 (1.3406) Prec@1 60.938 (68.773) Prec@5 82.812 (87.160) Epoch: [86][3410/10010] Time 0.315 (0.327) Data 0.001 (0.001) Loss 1.1434 (1.3404) Prec@1 71.875 (68.779) Prec@5 91.406 (87.164) Epoch: [86][3420/10010] Time 0.322 (0.327) Data 0.001 (0.001) Loss 1.1736 (1.3404) Prec@1 68.750 (68.779) Prec@5 90.625 (87.164) Epoch: [86][3430/10010] Time 0.317 (0.327) Data 0.001 (0.001) Loss 1.1249 (1.3402) Prec@1 69.531 (68.782) Prec@5 89.844 (87.167) Epoch: [86][3440/10010] Time 0.329 (0.327) Data 0.001 (0.001) Loss 1.4914 (1.3403) Prec@1 70.312 (68.782) Prec@5 86.719 (87.165) Epoch: [86][3450/10010] Time 0.334 (0.327) Data 0.001 (0.001) Loss 1.3183 (1.3403) Prec@1 72.656 (68.781) Prec@5 86.719 (87.166) Epoch: [86][3460/10010] Time 0.328 (0.327) Data 0.001 (0.001) Loss 1.3286 (1.3403) Prec@1 65.625 (68.783) Prec@5 85.938 (87.164) Epoch: [86][3470/10010] Time 0.317 (0.327) Data 0.001 (0.001) Loss 1.1770 (1.3406) Prec@1 67.188 (68.776) Prec@5 92.188 (87.162) Epoch: [86][3480/10010] Time 0.321 (0.327) Data 0.001 (0.001) Loss 1.2182 (1.3404) Prec@1 75.781 (68.783) Prec@5 89.844 (87.165) Epoch: [86][3490/10010] Time 0.325 (0.327) Data 0.001 (0.001) Loss 1.4196 (1.3405) Prec@1 66.406 (68.778) Prec@5 86.719 (87.164) Epoch: [86][3500/10010] Time 0.320 (0.327) Data 0.000 (0.001) Loss 1.2277 (1.3406) Prec@1 68.750 (68.773) Prec@5 92.188 (87.160) Epoch: [86][3510/10010] Time 0.322 (0.327) Data 0.000 (0.001) Loss 1.5202 (1.3408) Prec@1 63.281 (68.773) Prec@5 85.156 (87.157) Epoch: [86][3520/10010] Time 0.313 (0.327) Data 0.000 (0.001) Loss 1.3356 (1.3410) Prec@1 62.500 (68.768) Prec@5 89.062 (87.153) Epoch: [86][3530/10010] Time 0.334 (0.327) Data 0.001 (0.001) Loss 1.3408 (1.3409) Prec@1 64.844 (68.773) Prec@5 84.375 (87.155) Epoch: [86][3540/10010] Time 0.321 (0.327) Data 0.001 (0.001) Loss 1.1572 (1.3411) Prec@1 72.656 (68.767) Prec@5 91.406 (87.153) Epoch: [86][3550/10010] Time 0.333 (0.327) Data 0.001 (0.001) Loss 1.5973 (1.3411) Prec@1 62.500 (68.769) Prec@5 82.812 (87.153) Epoch: [86][3560/10010] Time 0.319 (0.327) Data 0.000 (0.001) Loss 1.4416 (1.3410) Prec@1 68.750 (68.772) Prec@5 86.719 (87.154) Epoch: [86][3570/10010] Time 0.327 (0.327) Data 0.001 (0.001) Loss 1.4338 (1.3413) Prec@1 66.406 (68.770) Prec@5 84.375 (87.152) Epoch: [86][3580/10010] Time 0.331 (0.327) Data 0.000 (0.001) Loss 1.5357 (1.3412) Prec@1 65.625 (68.771) Prec@5 83.594 (87.150) Epoch: [86][3590/10010] Time 0.333 (0.327) Data 0.000 (0.001) Loss 1.2738 (1.3413) Prec@1 68.750 (68.768) Prec@5 85.938 (87.146) Epoch: [86][3600/10010] Time 0.339 (0.327) Data 0.000 (0.001) Loss 1.2257 (1.3412) Prec@1 69.531 (68.773) Prec@5 87.500 (87.148) Epoch: [86][3610/10010] Time 0.339 (0.327) Data 0.001 (0.001) Loss 1.1432 (1.3413) Prec@1 71.875 (68.771) Prec@5 90.625 (87.147) Epoch: [86][3620/10010] Time 0.325 (0.327) Data 0.001 (0.001) Loss 1.5589 (1.3411) Prec@1 66.406 (68.778) Prec@5 82.031 (87.147) Epoch: [86][3630/10010] Time 0.331 (0.327) Data 0.001 (0.001) Loss 1.3539 (1.3410) Prec@1 68.750 (68.777) Prec@5 86.719 (87.150) Epoch: [86][3640/10010] Time 0.338 (0.327) Data 0.001 (0.001) Loss 1.3673 (1.3411) Prec@1 73.438 (68.779) Prec@5 86.719 (87.148) Epoch: [86][3650/10010] Time 0.342 (0.327) Data 0.000 (0.001) Loss 1.2828 (1.3412) Prec@1 73.438 (68.776) Prec@5 87.500 (87.151) Epoch: [86][3660/10010] Time 0.333 (0.327) Data 0.001 (0.001) Loss 1.4032 (1.3411) Prec@1 67.969 (68.776) Prec@5 82.031 (87.150) Epoch: [86][3670/10010] Time 0.318 (0.327) Data 0.000 (0.001) Loss 1.4305 (1.3410) Prec@1 64.844 (68.776) Prec@5 85.938 (87.152) Epoch: [86][3680/10010] Time 0.322 (0.327) Data 0.000 (0.001) Loss 1.1677 (1.3407) Prec@1 71.875 (68.785) Prec@5 89.062 (87.156) Epoch: [86][3690/10010] Time 0.321 (0.327) Data 0.000 (0.001) Loss 1.5879 (1.3408) Prec@1 62.500 (68.781) Prec@5 82.812 (87.154) Epoch: [86][3700/10010] Time 0.335 (0.327) Data 0.001 (0.001) Loss 1.3127 (1.3408) Prec@1 69.531 (68.782) Prec@5 86.719 (87.153) Epoch: [86][3710/10010] Time 0.336 (0.327) Data 0.000 (0.001) Loss 1.3432 (1.3410) Prec@1 68.750 (68.779) Prec@5 84.375 (87.147) /data/vision/torralba/deepscene/lib/anaconda2/lib/python2.7/site-packages/PIL/TiffImagePlugin.py:692: UserWarning: Possibly corrupt EXIF data. Expecting to read 2555904 bytes but only got 0. Skipping tag 0 "Skipping tag %s" % (size, len(data), tag)) Epoch: [86][3720/10010] Time 0.328 (0.327) Data 0.001 (0.001) Loss 1.2909 (1.3410) Prec@1 72.656 (68.779) Prec@5 88.281 (87.149) Epoch: [86][3730/10010] Time 0.330 (0.327) Data 0.001 (0.001) Loss 1.3111 (1.3407) Prec@1 67.188 (68.784) Prec@5 87.500 (87.150) Epoch: [86][3740/10010] Time 0.326 (0.327) Data 0.001 (0.001) Loss 1.1100 (1.3406) Prec@1 77.344 (68.785) Prec@5 91.406 (87.151) Epoch: [86][3750/10010] Time 0.340 (0.327) Data 0.001 (0.001) Loss 0.9642 (1.3406) Prec@1 74.219 (68.785) Prec@5 93.750 (87.150) Epoch: [86][3760/10010] Time 0.319 (0.327) Data 0.001 (0.001) Loss 1.6525 (1.3409) Prec@1 59.375 (68.778) Prec@5 79.688 (87.143) Epoch: [86][3770/10010] Time 0.314 (0.327) Data 0.001 (0.001) Loss 1.2508 (1.3406) Prec@1 72.656 (68.783) Prec@5 87.500 (87.147) Epoch: [86][3780/10010] Time 0.330 (0.327) Data 0.001 (0.001) Loss 1.6765 (1.3409) Prec@1 64.844 (68.780) Prec@5 82.031 (87.143) Epoch: [86][3790/10010] Time 0.321 (0.327) Data 0.001 (0.001) Loss 1.4491 (1.3407) Prec@1 67.969 (68.782) Prec@5 86.719 (87.147) Epoch: [86][3800/10010] Time 0.316 (0.327) Data 0.001 (0.001) Loss 1.1781 (1.3407) Prec@1 71.875 (68.786) Prec@5 92.188 (87.147) Epoch: [86][3810/10010] Time 0.321 (0.327) Data 0.001 (0.001) Loss 1.2999 (1.3406) Prec@1 68.750 (68.788) Prec@5 88.281 (87.149) Epoch: [86][3820/10010] Time 0.338 (0.327) Data 0.000 (0.001) Loss 1.7570 (1.3407) Prec@1 60.156 (68.784) Prec@5 81.250 (87.150) Epoch: [86][3830/10010] Time 0.339 (0.327) Data 0.000 (0.001) Loss 1.2135 (1.3405) Prec@1 69.531 (68.791) Prec@5 90.625 (87.154) Epoch: [86][3840/10010] Time 0.318 (0.327) Data 0.001 (0.001) Loss 1.5417 (1.3404) Prec@1 67.969 (68.791) Prec@5 85.938 (87.153) Epoch: [86][3850/10010] Time 0.338 (0.327) Data 0.001 (0.001) Loss 1.3165 (1.3405) Prec@1 71.094 (68.789) Prec@5 87.500 (87.151) Epoch: [86][3860/10010] Time 0.335 (0.327) Data 0.001 (0.001) Loss 1.7815 (1.3406) Prec@1 61.719 (68.786) Prec@5 78.906 (87.152) Epoch: [86][3870/10010] Time 0.332 (0.327) Data 0.000 (0.001) Loss 1.5241 (1.3407) Prec@1 65.625 (68.784) Prec@5 85.156 (87.150) Epoch: [86][3880/10010] Time 0.337 (0.327) Data 0.001 (0.001) Loss 1.3439 (1.3407) Prec@1 71.094 (68.785) Prec@5 85.156 (87.148) Epoch: [86][3890/10010] Time 0.318 (0.327) Data 0.001 (0.001) Loss 1.2984 (1.3406) Prec@1 68.750 (68.786) Prec@5 88.281 (87.150) Epoch: [86][3900/10010] Time 0.328 (0.327) Data 0.001 (0.001) Loss 1.3240 (1.3406) Prec@1 64.844 (68.787) Prec@5 85.938 (87.149) Epoch: [86][3910/10010] Time 0.317 (0.327) Data 0.000 (0.001) Loss 1.2006 (1.3406) Prec@1 71.875 (68.786) Prec@5 89.062 (87.149) Epoch: [86][3920/10010] Time 0.329 (0.327) Data 0.001 (0.001) Loss 1.2871 (1.3407) Prec@1 73.438 (68.785) Prec@5 89.062 (87.148) Epoch: [86][3930/10010] Time 0.329 (0.327) Data 0.001 (0.001) Loss 1.2318 (1.3408) Prec@1 68.750 (68.781) Prec@5 87.500 (87.150) Epoch: [86][3940/10010] Time 0.327 (0.327) Data 0.001 (0.001) Loss 1.2179 (1.3406) Prec@1 68.750 (68.784) Prec@5 89.844 (87.155) Epoch: [86][3950/10010] Time 0.321 (0.327) Data 0.001 (0.001) Loss 1.2460 (1.3406) Prec@1 71.094 (68.783) Prec@5 88.281 (87.157) Epoch: [86][3960/10010] Time 0.340 (0.327) Data 0.001 (0.001) Loss 1.4653 (1.3405) Prec@1 64.844 (68.784) Prec@5 85.938 (87.157) Epoch: [86][3970/10010] Time 0.330 (0.327) Data 0.000 (0.001) Loss 1.4179 (1.3404) Prec@1 69.531 (68.785) Prec@5 86.719 (87.159) Epoch: [86][3980/10010] Time 0.326 (0.327) Data 0.001 (0.001) Loss 1.4050 (1.3404) Prec@1 64.844 (68.781) Prec@5 84.375 (87.159) Epoch: [86][3990/10010] Time 0.320 (0.327) Data 0.000 (0.001) Loss 1.2898 (1.3405) Prec@1 70.312 (68.782) Prec@5 86.719 (87.158) Epoch: [86][4000/10010] Time 0.332 (0.327) Data 0.001 (0.001) Loss 1.2311 (1.3405) Prec@1 73.438 (68.779) Prec@5 85.156 (87.157) Epoch: [86][4010/10010] Time 0.323 (0.327) Data 0.000 (0.001) Loss 1.5493 (1.3403) Prec@1 60.156 (68.783) Prec@5 83.594 (87.160) Epoch: [86][4020/10010] Time 0.322 (0.327) Data 0.001 (0.001) Loss 1.4565 (1.3405) Prec@1 64.844 (68.781) Prec@5 83.594 (87.156) Epoch: [86][4030/10010] Time 0.342 (0.327) Data 0.000 (0.001) Loss 1.5166 (1.3404) Prec@1 70.312 (68.785) Prec@5 85.938 (87.156) Epoch: [86][4040/10010] Time 0.337 (0.327) Data 0.001 (0.001) Loss 1.3461 (1.3403) Prec@1 73.438 (68.788) Prec@5 82.812 (87.158) Epoch: [86][4050/10010] Time 0.333 (0.327) Data 0.001 (0.001) Loss 1.5129 (1.3406) Prec@1 61.719 (68.782) Prec@5 83.594 (87.153) Epoch: [86][4060/10010] Time 0.330 (0.327) Data 0.001 (0.001) Loss 1.2872 (1.3404) Prec@1 74.219 (68.786) Prec@5 86.719 (87.156) Epoch: [86][4070/10010] Time 0.326 (0.327) Data 0.000 (0.001) Loss 1.2988 (1.3402) Prec@1 72.656 (68.793) Prec@5 85.938 (87.159) Epoch: [86][4080/10010] Time 0.340 (0.327) Data 0.001 (0.001) Loss 1.5454 (1.3402) Prec@1 65.625 (68.794) Prec@5 85.156 (87.158) Epoch: [86][4090/10010] Time 0.337 (0.327) Data 0.001 (0.001) Loss 1.2437 (1.3401) Prec@1 67.188 (68.795) Prec@5 88.281 (87.160) Epoch: [86][4100/10010] Time 0.337 (0.327) Data 0.001 (0.001) Loss 1.4612 (1.3402) Prec@1 64.844 (68.794) Prec@5 85.156 (87.156) Epoch: [86][4110/10010] Time 0.319 (0.327) Data 0.000 (0.001) Loss 1.4087 (1.3401) Prec@1 63.281 (68.792) Prec@5 88.281 (87.156) Epoch: [86][4120/10010] Time 0.328 (0.327) Data 0.001 (0.001) Loss 1.4930 (1.3403) Prec@1 68.750 (68.788) Prec@5 82.812 (87.155) Epoch: [86][4130/10010] Time 0.321 (0.327) Data 0.000 (0.001) Loss 1.3420 (1.3404) Prec@1 67.188 (68.787) Prec@5 85.938 (87.151) Epoch: [86][4140/10010] Time 0.320 (0.327) Data 0.001 (0.001) Loss 1.2304 (1.3408) Prec@1 78.125 (68.780) Prec@5 86.719 (87.146) Epoch: [86][4150/10010] Time 0.334 (0.327) Data 0.001 (0.001) Loss 1.4081 (1.3410) Prec@1 65.625 (68.778) Prec@5 87.500 (87.143) Epoch: [86][4160/10010] Time 0.346 (0.327) Data 0.001 (0.001) Loss 1.7353 (1.3410) Prec@1 62.500 (68.780) Prec@5 81.250 (87.143) Epoch: [86][4170/10010] Time 0.328 (0.327) Data 0.001 (0.001) Loss 1.2025 (1.3409) Prec@1 74.219 (68.783) Prec@5 90.625 (87.144) Epoch: [86][4180/10010] Time 0.331 (0.327) Data 0.000 (0.001) Loss 1.3374 (1.3409) Prec@1 67.969 (68.781) Prec@5 86.719 (87.141) Epoch: [86][4190/10010] Time 0.326 (0.327) Data 0.001 (0.001) Loss 1.3705 (1.3409) Prec@1 65.625 (68.782) Prec@5 85.156 (87.143) Epoch: [86][4200/10010] Time 0.314 (0.327) Data 0.001 (0.001) Loss 1.4638 (1.3410) Prec@1 67.969 (68.785) Prec@5 84.375 (87.142) Epoch: [86][4210/10010] Time 0.326 (0.327) Data 0.001 (0.001) Loss 1.2710 (1.3411) Prec@1 72.656 (68.785) Prec@5 87.500 (87.140) Epoch: [86][4220/10010] Time 0.331 (0.327) Data 0.001 (0.001) Loss 1.3203 (1.3411) Prec@1 67.188 (68.786) Prec@5 89.844 (87.140) Epoch: [86][4230/10010] Time 0.319 (0.327) Data 0.001 (0.001) Loss 1.2782 (1.3410) Prec@1 69.531 (68.783) Prec@5 87.500 (87.140) Epoch: [86][4240/10010] Time 0.329 (0.327) Data 0.001 (0.001) Loss 1.5533 (1.3410) Prec@1 70.312 (68.786) Prec@5 84.375 (87.142) Epoch: [86][4250/10010] Time 0.319 (0.327) Data 0.001 (0.001) Loss 1.3392 (1.3413) Prec@1 65.625 (68.779) Prec@5 88.281 (87.139) Epoch: [86][4260/10010] Time 0.324 (0.327) Data 0.001 (0.001) Loss 1.4061 (1.3413) Prec@1 69.531 (68.776) Prec@5 85.156 (87.137) Epoch: [86][4270/10010] Time 0.315 (0.327) Data 0.001 (0.001) Loss 1.5102 (1.3414) Prec@1 66.406 (68.776) Prec@5 82.031 (87.134) Epoch: [86][4280/10010] Time 0.328 (0.327) Data 0.001 (0.001) Loss 1.2517 (1.3414) Prec@1 69.531 (68.777) Prec@5 90.625 (87.133) Epoch: [86][4290/10010] Time 0.336 (0.327) Data 0.001 (0.001) Loss 1.1774 (1.3414) Prec@1 71.094 (68.775) Prec@5 88.281 (87.133) Epoch: [86][4300/10010] Time 0.316 (0.327) Data 0.001 (0.001) Loss 1.5338 (1.3415) Prec@1 64.844 (68.770) Prec@5 82.812 (87.132) Epoch: [86][4310/10010] Time 0.322 (0.327) Data 0.001 (0.001) Loss 1.4280 (1.3414) Prec@1 67.969 (68.772) Prec@5 85.156 (87.132) Epoch: [86][4320/10010] Time 0.337 (0.327) Data 0.000 (0.001) Loss 1.5682 (1.3414) Prec@1 69.531 (68.770) Prec@5 84.375 (87.133) Epoch: [86][4330/10010] Time 0.320 (0.327) Data 0.001 (0.001) Loss 1.6632 (1.3415) Prec@1 64.844 (68.769) Prec@5 83.594 (87.131) Epoch: [86][4340/10010] Time 0.334 (0.327) Data 0.001 (0.001) Loss 1.2497 (1.3417) Prec@1 71.094 (68.767) Prec@5 88.281 (87.130) Epoch: [86][4350/10010] Time 0.316 (0.327) Data 0.001 (0.001) Loss 1.0218 (1.3419) Prec@1 71.094 (68.763) Prec@5 89.844 (87.126) Epoch: [86][4360/10010] Time 0.334 (0.327) Data 0.001 (0.001) Loss 1.3476 (1.3418) Prec@1 68.750 (68.765) Prec@5 88.281 (87.126) Epoch: [86][4370/10010] Time 0.332 (0.327) Data 0.001 (0.001) Loss 1.4878 (1.3418) Prec@1 64.062 (68.765) Prec@5 82.812 (87.126) Epoch: [86][4380/10010] Time 0.342 (0.327) Data 0.000 (0.001) Loss 1.3077 (1.3420) Prec@1 70.312 (68.764) Prec@5 85.938 (87.121) Epoch: [86][4390/10010] Time 0.328 (0.327) Data 0.001 (0.001) Loss 1.2169 (1.3419) Prec@1 75.000 (68.765) Prec@5 92.969 (87.122) Epoch: [86][4400/10010] Time 0.323 (0.327) Data 0.001 (0.001) Loss 1.1420 (1.3420) Prec@1 75.000 (68.763) Prec@5 90.625 (87.122) Epoch: [86][4410/10010] Time 0.320 (0.327) Data 0.001 (0.001) Loss 1.4846 (1.3420) Prec@1 64.844 (68.766) Prec@5 87.500 (87.124) Epoch: [86][4420/10010] Time 0.322 (0.327) Data 0.001 (0.001) Loss 1.1701 (1.3420) Prec@1 74.219 (68.764) Prec@5 89.062 (87.124) Epoch: [86][4430/10010] Time 0.334 (0.327) Data 0.000 (0.001) Loss 0.9549 (1.3420) Prec@1 78.906 (68.764) Prec@5 90.625 (87.122) Epoch: [86][4440/10010] Time 0.322 (0.327) Data 0.001 (0.001) Loss 1.3167 (1.3421) Prec@1 66.406 (68.762) Prec@5 87.500 (87.119) Epoch: [86][4450/10010] Time 0.333 (0.327) Data 0.001 (0.001) Loss 1.1850 (1.3420) Prec@1 67.969 (68.761) Prec@5 89.844 (87.125) Epoch: [86][4460/10010] Time 0.340 (0.327) Data 0.001 (0.001) Loss 1.3348 (1.3419) Prec@1 68.750 (68.762) Prec@5 85.156 (87.127) Epoch: [86][4470/10010] Time 0.326 (0.327) Data 0.000 (0.001) Loss 1.5591 (1.3420) Prec@1 61.719 (68.759) Prec@5 85.938 (87.126) Epoch: [86][4480/10010] Time 0.320 (0.327) Data 0.001 (0.001) Loss 1.4579 (1.3422) Prec@1 70.312 (68.756) Prec@5 83.594 (87.123) Epoch: [86][4490/10010] Time 0.333 (0.327) Data 0.001 (0.001) Loss 1.0146 (1.3421) Prec@1 78.906 (68.756) Prec@5 90.625 (87.125) Epoch: [86][4500/10010] Time 0.316 (0.327) Data 0.001 (0.001) Loss 1.4825 (1.3422) Prec@1 71.875 (68.757) Prec@5 84.375 (87.122) Epoch: [86][4510/10010] Time 0.333 (0.327) Data 0.001 (0.001) Loss 1.2945 (1.3423) Prec@1 71.094 (68.757) Prec@5 85.156 (87.121) Epoch: [86][4520/10010] Time 0.326 (0.327) Data 0.000 (0.001) Loss 1.1338 (1.3422) Prec@1 75.781 (68.757) Prec@5 89.844 (87.121) Epoch: [86][4530/10010] Time 0.326 (0.327) Data 0.001 (0.001) Loss 1.2665 (1.3420) Prec@1 69.531 (68.760) Prec@5 88.281 (87.123) Epoch: [86][4540/10010] Time 0.338 (0.327) Data 0.000 (0.001) Loss 1.4679 (1.3421) Prec@1 67.188 (68.755) Prec@5 85.938 (87.121) Epoch: [86][4550/10010] Time 0.326 (0.327) Data 0.001 (0.001) Loss 1.4697 (1.3420) Prec@1 67.188 (68.757) Prec@5 88.281 (87.123) Epoch: [86][4560/10010] Time 0.317 (0.327) Data 0.001 (0.001) Loss 1.3119 (1.3418) Prec@1 67.188 (68.759) Prec@5 90.625 (87.127) Epoch: [86][4570/10010] Time 0.321 (0.327) Data 0.000 (0.001) Loss 1.2004 (1.3416) Prec@1 72.656 (68.765) Prec@5 92.188 (87.128) Epoch: [86][4580/10010] Time 0.327 (0.327) Data 0.001 (0.001) Loss 1.1926 (1.3416) Prec@1 71.875 (68.766) Prec@5 85.156 (87.128) Epoch: [86][4590/10010] Time 0.319 (0.327) Data 0.001 (0.001) Loss 1.2237 (1.3413) Prec@1 67.969 (68.771) Prec@5 89.062 (87.133) Epoch: [86][4600/10010] Time 0.319 (0.327) Data 0.001 (0.001) Loss 1.0843 (1.3414) Prec@1 72.656 (68.769) Prec@5 90.625 (87.134) Epoch: [86][4610/10010] Time 0.323 (0.327) Data 0.001 (0.001) Loss 1.1722 (1.3412) Prec@1 72.656 (68.776) Prec@5 88.281 (87.136) Epoch: [86][4620/10010] Time 0.324 (0.327) Data 0.001 (0.001) Loss 1.3701 (1.3414) Prec@1 64.844 (68.775) Prec@5 89.062 (87.132) Epoch: [86][4630/10010] Time 0.338 (0.327) Data 0.000 (0.001) Loss 1.4154 (1.3415) Prec@1 74.219 (68.774) Prec@5 87.500 (87.132) Epoch: [86][4640/10010] Time 0.327 (0.327) Data 0.001 (0.001) Loss 1.5707 (1.3415) Prec@1 64.844 (68.772) Prec@5 81.250 (87.130) Epoch: [86][4650/10010] Time 0.326 (0.327) Data 0.001 (0.001) Loss 1.3744 (1.3414) Prec@1 70.312 (68.773) Prec@5 83.594 (87.131) Epoch: [86][4660/10010] Time 0.322 (0.327) Data 0.000 (0.001) Loss 1.5984 (1.3415) Prec@1 65.625 (68.769) Prec@5 82.812 (87.129) Epoch: [86][4670/10010] Time 0.329 (0.327) Data 0.000 (0.001) Loss 1.4127 (1.3415) Prec@1 64.062 (68.768) Prec@5 89.062 (87.128) Epoch: [86][4680/10010] Time 0.321 (0.327) Data 0.001 (0.001) Loss 1.3929 (1.3415) Prec@1 71.094 (68.767) Prec@5 87.500 (87.127) Epoch: [86][4690/10010] Time 0.332 (0.327) Data 0.001 (0.001) Loss 0.9930 (1.3414) Prec@1 80.469 (68.768) Prec@5 90.625 (87.130) Epoch: [86][4700/10010] Time 0.325 (0.327) Data 0.001 (0.001) Loss 1.2397 (1.3415) Prec@1 69.531 (68.765) Prec@5 88.281 (87.128) Epoch: [86][4710/10010] Time 0.338 (0.327) Data 0.000 (0.001) Loss 1.3137 (1.3416) Prec@1 69.531 (68.761) Prec@5 86.719 (87.127) Epoch: [86][4720/10010] Time 0.316 (0.327) Data 0.001 (0.001) Loss 1.2297 (1.3417) Prec@1 71.094 (68.761) Prec@5 89.844 (87.127) Epoch: [86][4730/10010] Time 0.315 (0.327) Data 0.001 (0.001) Loss 1.1659 (1.3419) Prec@1 75.781 (68.758) Prec@5 89.844 (87.124) Epoch: [86][4740/10010] Time 0.315 (0.327) Data 0.001 (0.001) Loss 1.0503 (1.3418) Prec@1 78.125 (68.757) Prec@5 89.844 (87.127) Epoch: [86][4750/10010] Time 0.337 (0.327) Data 0.001 (0.001) Loss 1.2791 (1.3419) Prec@1 71.875 (68.758) Prec@5 86.719 (87.125) Epoch: [86][4760/10010] Time 0.325 (0.327) Data 0.001 (0.001) Loss 1.1330 (1.3420) Prec@1 74.219 (68.759) Prec@5 93.750 (87.126) Epoch: [86][4770/10010] Time 0.337 (0.327) Data 0.001 (0.001) Loss 1.3001 (1.3420) Prec@1 64.844 (68.754) Prec@5 89.844 (87.124) Epoch: [86][4780/10010] Time 0.335 (0.327) Data 0.001 (0.001) Loss 1.1721 (1.3421) Prec@1 69.531 (68.750) Prec@5 90.625 (87.125) Epoch: [86][4790/10010] Time 0.328 (0.327) Data 0.001 (0.001) Loss 1.6299 (1.3421) Prec@1 60.938 (68.750) Prec@5 86.719 (87.125) Epoch: [86][4800/10010] Time 0.337 (0.327) Data 0.001 (0.001) Loss 1.2557 (1.3421) Prec@1 70.312 (68.751) Prec@5 85.938 (87.126) Epoch: [86][4810/10010] Time 0.315 (0.327) Data 0.002 (0.001) Loss 1.6543 (1.3421) Prec@1 60.938 (68.750) Prec@5 82.812 (87.127) Epoch: [86][4820/10010] Time 0.321 (0.327) Data 0.001 (0.001) Loss 1.4402 (1.3421) Prec@1 64.062 (68.746) Prec@5 86.719 (87.126) Epoch: [86][4830/10010] Time 0.320 (0.327) Data 0.000 (0.001) Loss 1.3544 (1.3420) Prec@1 69.531 (68.750) Prec@5 86.719 (87.125) Epoch: [86][4840/10010] Time 0.323 (0.327) Data 0.001 (0.001) Loss 1.2219 (1.3420) Prec@1 73.438 (68.750) Prec@5 89.844 (87.127) Epoch: [86][4850/10010] Time 0.317 (0.327) Data 0.001 (0.001) Loss 1.1193 (1.3419) Prec@1 73.438 (68.752) Prec@5 89.844 (87.128) Epoch: [86][4860/10010] Time 0.312 (0.327) Data 0.001 (0.001) Loss 1.1508 (1.3419) Prec@1 73.438 (68.757) Prec@5 92.969 (87.129) Epoch: [86][4870/10010] Time 0.321 (0.327) Data 0.000 (0.001) Loss 1.0670 (1.3418) Prec@1 76.562 (68.760) Prec@5 89.844 (87.130) Epoch: [86][4880/10010] Time 0.325 (0.327) Data 0.001 (0.001) Loss 1.5013 (1.3420) Prec@1 64.062 (68.757) Prec@5 83.594 (87.127) Epoch: [86][4890/10010] Time 0.318 (0.327) Data 0.001 (0.001) Loss 1.3169 (1.3419) Prec@1 70.312 (68.759) Prec@5 89.062 (87.127) Epoch: [86][4900/10010] Time 0.328 (0.327) Data 0.001 (0.001) Loss 1.5306 (1.3420) Prec@1 64.844 (68.757) Prec@5 85.938 (87.126) Epoch: [86][4910/10010] Time 0.315 (0.327) Data 0.000 (0.001) Loss 1.2849 (1.3418) Prec@1 69.531 (68.760) Prec@5 89.844 (87.128) Epoch: [86][4920/10010] Time 0.321 (0.327) Data 0.001 (0.001) Loss 1.4391 (1.3418) Prec@1 65.625 (68.762) Prec@5 85.938 (87.127) Epoch: [86][4930/10010] Time 0.329 (0.327) Data 0.001 (0.001) Loss 1.3810 (1.3420) Prec@1 64.062 (68.759) Prec@5 87.500 (87.124) Epoch: [86][4940/10010] Time 0.333 (0.327) Data 0.001 (0.001) Loss 1.3839 (1.3420) Prec@1 65.625 (68.758) Prec@5 89.844 (87.122) Epoch: [86][4950/10010] Time 0.321 (0.327) Data 0.000 (0.001) Loss 1.5996 (1.3421) Prec@1 64.844 (68.758) Prec@5 83.594 (87.121) Epoch: [86][4960/10010] Time 0.322 (0.327) Data 0.001 (0.001) Loss 1.6187 (1.3422) Prec@1 66.406 (68.761) Prec@5 83.594 (87.118) Epoch: [86][4970/10010] Time 0.336 (0.327) Data 0.001 (0.001) Loss 1.5136 (1.3419) Prec@1 64.062 (68.764) Prec@5 81.250 (87.122) Epoch: [86][4980/10010] Time 0.319 (0.327) Data 0.001 (0.001) Loss 1.3939 (1.3417) Prec@1 71.094 (68.769) Prec@5 84.375 (87.124) Epoch: [86][4990/10010] Time 0.337 (0.327) Data 0.001 (0.001) Loss 1.1308 (1.3416) Prec@1 72.656 (68.768) Prec@5 89.062 (87.125) Epoch: [86][5000/10010] Time 0.333 (0.327) Data 0.000 (0.001) Loss 1.3517 (1.3416) Prec@1 71.094 (68.774) Prec@5 86.719 (87.126) Epoch: [86][5010/10010] Time 0.321 (0.327) Data 0.001 (0.001) Loss 1.4471 (1.3416) Prec@1 68.750 (68.774) Prec@5 84.375 (87.125) Epoch: [86][5020/10010] Time 0.313 (0.327) Data 0.001 (0.001) Loss 1.1481 (1.3415) Prec@1 69.531 (68.777) Prec@5 91.406 (87.126) Epoch: [86][5030/10010] Time 0.334 (0.327) Data 0.001 (0.001) Loss 1.4141 (1.3414) Prec@1 69.531 (68.782) Prec@5 85.938 (87.127) Epoch: [86][5040/10010] Time 0.326 (0.327) Data 0.001 (0.001) Loss 1.2736 (1.3415) Prec@1 72.656 (68.781) Prec@5 86.719 (87.125) Epoch: [86][5050/10010] Time 0.319 (0.327) Data 0.001 (0.001) Loss 1.3603 (1.3415) Prec@1 67.188 (68.781) Prec@5 85.938 (87.124) Epoch: [86][5060/10010] Time 0.333 (0.327) Data 0.001 (0.001) Loss 1.1234 (1.3415) Prec@1 77.344 (68.782) Prec@5 89.844 (87.123) Epoch: [86][5070/10010] Time 0.325 (0.327) Data 0.000 (0.001) Loss 1.2060 (1.3417) Prec@1 72.656 (68.779) Prec@5 89.062 (87.121) Epoch: [86][5080/10010] Time 0.340 (0.327) Data 0.001 (0.001) Loss 1.1329 (1.3417) Prec@1 73.438 (68.778) Prec@5 92.969 (87.122) Epoch: [86][5090/10010] Time 0.316 (0.327) Data 0.001 (0.001) Loss 1.1006 (1.3415) Prec@1 74.219 (68.782) Prec@5 92.188 (87.124) Epoch: [86][5100/10010] Time 0.331 (0.327) Data 0.001 (0.001) Loss 1.4594 (1.3416) Prec@1 67.969 (68.782) Prec@5 85.938 (87.122) Epoch: [86][5110/10010] Time 0.322 (0.327) Data 0.000 (0.001) Loss 1.3826 (1.3417) Prec@1 67.969 (68.782) Prec@5 87.500 (87.120) Epoch: [86][5120/10010] Time 0.345 (0.327) Data 0.001 (0.001) Loss 1.6692 (1.3418) Prec@1 65.625 (68.779) Prec@5 82.031 (87.117) Epoch: [86][5130/10010] Time 0.335 (0.327) Data 0.001 (0.001) Loss 1.4725 (1.3419) Prec@1 65.625 (68.779) Prec@5 85.938 (87.116) Epoch: [86][5140/10010] Time 0.317 (0.327) Data 0.001 (0.001) Loss 1.4157 (1.3418) Prec@1 64.844 (68.780) Prec@5 89.062 (87.118) Epoch: [86][5150/10010] Time 0.314 (0.327) Data 0.001 (0.001) Loss 1.3346 (1.3419) Prec@1 69.531 (68.776) Prec@5 85.938 (87.117) Epoch: [86][5160/10010] Time 0.331 (0.327) Data 0.000 (0.001) Loss 1.4169 (1.3420) Prec@1 66.406 (68.778) Prec@5 82.812 (87.116) Epoch: [86][5170/10010] Time 0.315 (0.327) Data 0.001 (0.001) Loss 1.2759 (1.3419) Prec@1 70.312 (68.781) Prec@5 89.062 (87.117) Epoch: [86][5180/10010] Time 0.333 (0.327) Data 0.001 (0.001) Loss 1.4338 (1.3420) Prec@1 68.750 (68.777) Prec@5 83.594 (87.115) Epoch: [86][5190/10010] Time 0.318 (0.327) Data 0.000 (0.001) Loss 1.3111 (1.3420) Prec@1 71.875 (68.777) Prec@5 89.062 (87.114) Epoch: [86][5200/10010] Time 0.320 (0.327) Data 0.001 (0.001) Loss 1.3917 (1.3420) Prec@1 69.531 (68.777) Prec@5 85.938 (87.114) Epoch: [86][5210/10010] Time 0.319 (0.327) Data 0.000 (0.001) Loss 1.3001 (1.3420) Prec@1 70.312 (68.776) Prec@5 85.156 (87.112) Epoch: [86][5220/10010] Time 0.330 (0.327) Data 0.001 (0.001) Loss 1.2456 (1.3420) Prec@1 71.875 (68.776) Prec@5 86.719 (87.112) Epoch: [86][5230/10010] Time 0.323 (0.327) Data 0.000 (0.001) Loss 1.3766 (1.3421) Prec@1 68.750 (68.772) Prec@5 84.375 (87.110) Epoch: [86][5240/10010] Time 0.324 (0.327) Data 0.000 (0.001) Loss 1.3834 (1.3420) Prec@1 68.750 (68.776) Prec@5 84.375 (87.113) Epoch: [86][5250/10010] Time 0.332 (0.327) Data 0.001 (0.001) Loss 1.1848 (1.3419) Prec@1 75.000 (68.776) Prec@5 90.625 (87.115) Epoch: [86][5260/10010] Time 0.329 (0.327) Data 0.000 (0.001) Loss 1.6259 (1.3421) Prec@1 63.281 (68.774) Prec@5 79.688 (87.112) Epoch: [86][5270/10010] Time 0.334 (0.327) Data 0.000 (0.001) Loss 1.1470 (1.3419) Prec@1 71.875 (68.776) Prec@5 89.062 (87.113) Epoch: [86][5280/10010] Time 0.339 (0.327) Data 0.000 (0.001) Loss 1.5455 (1.3421) Prec@1 70.312 (68.773) Prec@5 82.031 (87.108) Epoch: [86][5290/10010] Time 0.330 (0.327) Data 0.001 (0.001) Loss 1.1429 (1.3422) Prec@1 75.781 (68.773) Prec@5 87.500 (87.106) Epoch: [86][5300/10010] Time 0.331 (0.327) Data 0.001 (0.001) Loss 1.3670 (1.3422) Prec@1 68.750 (68.773) Prec@5 88.281 (87.106) Epoch: [86][5310/10010] Time 0.332 (0.327) Data 0.000 (0.001) Loss 1.4281 (1.3423) Prec@1 67.188 (68.774) Prec@5 85.938 (87.106) Epoch: [86][5320/10010] Time 0.333 (0.327) Data 0.001 (0.001) Loss 1.3102 (1.3423) Prec@1 71.094 (68.775) Prec@5 88.281 (87.107) Epoch: [86][5330/10010] Time 0.334 (0.327) Data 0.001 (0.001) Loss 1.1889 (1.3423) Prec@1 75.781 (68.775) Prec@5 91.406 (87.109) Epoch: [86][5340/10010] Time 0.320 (0.327) Data 0.000 (0.001) Loss 1.2944 (1.3423) Prec@1 70.312 (68.775) Prec@5 85.938 (87.108) Epoch: [86][5350/10010] Time 0.325 (0.327) Data 0.001 (0.001) Loss 1.0290 (1.3423) Prec@1 73.438 (68.774) Prec@5 92.969 (87.108) Epoch: [86][5360/10010] Time 0.316 (0.327) Data 0.001 (0.001) Loss 1.3037 (1.3421) Prec@1 67.969 (68.774) Prec@5 88.281 (87.111) Epoch: [86][5370/10010] Time 0.313 (0.327) Data 0.001 (0.001) Loss 1.1355 (1.3422) Prec@1 71.094 (68.773) Prec@5 91.406 (87.110) Epoch: [86][5380/10010] Time 0.322 (0.327) Data 0.001 (0.001) Loss 1.1974 (1.3422) Prec@1 73.438 (68.773) Prec@5 87.500 (87.109) Epoch: [86][5390/10010] Time 0.320 (0.327) Data 0.001 (0.001) Loss 1.3817 (1.3423) Prec@1 68.750 (68.770) Prec@5 88.281 (87.111) Epoch: [86][5400/10010] Time 0.340 (0.327) Data 0.001 (0.001) Loss 1.4115 (1.3423) Prec@1 68.750 (68.769) Prec@5 84.375 (87.109) Epoch: [86][5410/10010] Time 0.332 (0.327) Data 0.001 (0.001) Loss 1.6075 (1.3424) Prec@1 67.969 (68.771) Prec@5 80.469 (87.107) Epoch: [86][5420/10010] Time 0.334 (0.327) Data 0.001 (0.001) Loss 1.3019 (1.3424) Prec@1 66.406 (68.770) Prec@5 89.062 (87.107) Epoch: [86][5430/10010] Time 0.339 (0.327) Data 0.000 (0.001) Loss 1.2176 (1.3426) Prec@1 71.875 (68.767) Prec@5 89.062 (87.102) Epoch: [86][5440/10010] Time 0.327 (0.327) Data 0.001 (0.001) Loss 1.3346 (1.3427) Prec@1 67.969 (68.766) Prec@5 85.156 (87.101) Epoch: [86][5450/10010] Time 0.322 (0.327) Data 0.000 (0.001) Loss 0.8912 (1.3423) Prec@1 80.469 (68.774) Prec@5 92.969 (87.105) Epoch: [86][5460/10010] Time 0.334 (0.327) Data 0.000 (0.001) Loss 1.2517 (1.3423) Prec@1 70.312 (68.773) Prec@5 88.281 (87.107) Epoch: [86][5470/10010] Time 0.342 (0.327) Data 0.000 (0.001) Loss 1.4002 (1.3422) Prec@1 67.969 (68.777) Prec@5 89.062 (87.109) Epoch: [86][5480/10010] Time 0.312 (0.327) Data 0.001 (0.001) Loss 1.2971 (1.3421) Prec@1 70.312 (68.780) Prec@5 85.938 (87.111) Epoch: [86][5490/10010] Time 0.339 (0.327) Data 0.001 (0.001) Loss 1.5355 (1.3420) Prec@1 61.719 (68.781) Prec@5 81.250 (87.111) Epoch: [86][5500/10010] Time 0.334 (0.327) Data 0.000 (0.001) Loss 1.3604 (1.3419) Prec@1 66.406 (68.779) Prec@5 88.281 (87.112) Epoch: [86][5510/10010] Time 0.319 (0.327) Data 0.001 (0.001) Loss 1.3447 (1.3419) Prec@1 65.625 (68.779) Prec@5 85.156 (87.113) Epoch: [86][5520/10010] Time 0.335 (0.327) Data 0.001 (0.001) Loss 1.1454 (1.3419) Prec@1 71.094 (68.779) Prec@5 89.062 (87.114) Epoch: [86][5530/10010] Time 0.339 (0.327) Data 0.001 (0.001) Loss 1.1089 (1.3419) Prec@1 75.000 (68.779) Prec@5 90.625 (87.115) Epoch: [86][5540/10010] Time 0.326 (0.327) Data 0.001 (0.001) Loss 1.3411 (1.3422) Prec@1 67.188 (68.771) Prec@5 86.719 (87.110) Epoch: [86][5550/10010] Time 0.337 (0.327) Data 0.000 (0.001) Loss 1.5229 (1.3420) Prec@1 65.625 (68.775) Prec@5 82.812 (87.111) Epoch: [86][5560/10010] Time 0.333 (0.327) Data 0.001 (0.001) Loss 1.3937 (1.3420) Prec@1 67.188 (68.777) Prec@5 83.594 (87.111) Epoch: [86][5570/10010] Time 0.330 (0.327) Data 0.001 (0.001) Loss 1.0625 (1.3420) Prec@1 73.438 (68.778) Prec@5 89.844 (87.109) Epoch: [86][5580/10010] Time 0.316 (0.327) Data 0.001 (0.001) Loss 1.5131 (1.3420) Prec@1 61.719 (68.778) Prec@5 86.719 (87.107) Epoch: [86][5590/10010] Time 0.324 (0.327) Data 0.000 (0.001) Loss 1.2231 (1.3420) Prec@1 70.312 (68.780) Prec@5 88.281 (87.108) Epoch: [86][5600/10010] Time 0.322 (0.327) Data 0.001 (0.001) Loss 1.6036 (1.3421) Prec@1 65.625 (68.779) Prec@5 81.250 (87.107) Epoch: [86][5610/10010] Time 0.335 (0.327) Data 0.000 (0.001) Loss 1.2876 (1.3421) Prec@1 71.094 (68.780) Prec@5 85.156 (87.106) Epoch: [86][5620/10010] Time 0.324 (0.327) Data 0.000 (0.001) Loss 1.4797 (1.3421) Prec@1 68.750 (68.780) Prec@5 83.594 (87.106) Epoch: [86][5630/10010] Time 0.319 (0.327) Data 0.001 (0.001) Loss 1.3102 (1.3421) Prec@1 70.312 (68.781) Prec@5 85.938 (87.105) Epoch: [86][5640/10010] Time 0.315 (0.327) Data 0.001 (0.001) Loss 1.3815 (1.3422) Prec@1 67.969 (68.779) Prec@5 88.281 (87.103) Epoch: [86][5650/10010] Time 0.329 (0.327) Data 0.000 (0.001) Loss 1.4079 (1.3423) Prec@1 67.188 (68.778) Prec@5 86.719 (87.100) Epoch: [86][5660/10010] Time 0.316 (0.327) Data 0.001 (0.001) Loss 1.4109 (1.3424) Prec@1 66.406 (68.775) Prec@5 85.938 (87.100) Epoch: [86][5670/10010] Time 0.338 (0.327) Data 0.001 (0.001) Loss 1.2981 (1.3425) Prec@1 67.188 (68.770) Prec@5 85.156 (87.099) Epoch: [86][5680/10010] Time 0.322 (0.327) Data 0.001 (0.001) Loss 1.4252 (1.3425) Prec@1 68.750 (68.769) Prec@5 85.156 (87.099) Epoch: [86][5690/10010] Time 0.322 (0.327) Data 0.000 (0.001) Loss 1.3686 (1.3427) Prec@1 68.750 (68.766) Prec@5 85.156 (87.094) Epoch: [86][5700/10010] Time 0.332 (0.327) Data 0.001 (0.001) Loss 1.3035 (1.3426) Prec@1 69.531 (68.767) Prec@5 88.281 (87.095) Epoch: [86][5710/10010] Time 0.322 (0.327) Data 0.000 (0.001) Loss 1.1743 (1.3427) Prec@1 72.656 (68.764) Prec@5 90.625 (87.096) Epoch: [86][5720/10010] Time 0.327 (0.327) Data 0.001 (0.001) Loss 1.4038 (1.3426) Prec@1 65.625 (68.764) Prec@5 85.156 (87.096) Epoch: [86][5730/10010] Time 0.320 (0.327) Data 0.001 (0.001) Loss 1.3127 (1.3426) Prec@1 71.875 (68.765) Prec@5 87.500 (87.096) Epoch: [86][5740/10010] Time 0.322 (0.327) Data 0.001 (0.001) Loss 1.4620 (1.3426) Prec@1 64.062 (68.763) Prec@5 85.156 (87.095) Epoch: [86][5750/10010] Time 0.328 (0.327) Data 0.001 (0.001) Loss 1.0850 (1.3427) Prec@1 69.531 (68.759) Prec@5 92.188 (87.095) Epoch: [86][5760/10010] Time 0.325 (0.327) Data 0.001 (0.001) Loss 1.5655 (1.3427) Prec@1 66.406 (68.759) Prec@5 83.594 (87.095) Epoch: [86][5770/10010] Time 0.325 (0.327) Data 0.001 (0.001) Loss 1.2807 (1.3427) Prec@1 66.406 (68.761) Prec@5 87.500 (87.095) Epoch: [86][5780/10010] Time 0.336 (0.327) Data 0.001 (0.001) Loss 1.5072 (1.3427) Prec@1 62.500 (68.759) Prec@5 83.594 (87.095) Epoch: [86][5790/10010] Time 0.338 (0.327) Data 0.001 (0.001) Loss 1.4938 (1.3427) Prec@1 60.938 (68.759) Prec@5 85.938 (87.094) Epoch: [86][5800/10010] Time 0.316 (0.327) Data 0.001 (0.001) Loss 1.4578 (1.3427) Prec@1 67.969 (68.759) Prec@5 84.375 (87.095) Epoch: [86][5810/10010] Time 0.337 (0.327) Data 0.001 (0.001) Loss 1.3139 (1.3427) Prec@1 72.656 (68.760) Prec@5 88.281 (87.096) Epoch: [86][5820/10010] Time 0.314 (0.327) Data 0.001 (0.001) Loss 1.5141 (1.3427) Prec@1 66.406 (68.759) Prec@5 84.375 (87.095) Epoch: [86][5830/10010] Time 0.319 (0.327) Data 0.001 (0.001) Loss 1.3622 (1.3427) Prec@1 65.625 (68.759) Prec@5 88.281 (87.096) Epoch: [86][5840/10010] Time 0.335 (0.327) Data 0.001 (0.001) Loss 1.4964 (1.3427) Prec@1 64.844 (68.755) Prec@5 85.156 (87.094) Epoch: [86][5850/10010] Time 0.330 (0.327) Data 0.001 (0.001) Loss 1.4676 (1.3428) Prec@1 62.500 (68.752) Prec@5 86.719 (87.093) Epoch: [86][5860/10010] Time 0.334 (0.327) Data 0.001 (0.001) Loss 1.3794 (1.3428) Prec@1 69.531 (68.753) Prec@5 84.375 (87.093) Epoch: [86][5870/10010] Time 0.318 (0.327) Data 0.001 (0.001) Loss 1.0717 (1.3428) Prec@1 72.656 (68.753) Prec@5 90.625 (87.092) Epoch: [86][5880/10010] Time 0.322 (0.327) Data 0.000 (0.001) Loss 1.2783 (1.3427) Prec@1 65.625 (68.754) Prec@5 88.281 (87.094) Epoch: [86][5890/10010] Time 0.319 (0.327) Data 0.001 (0.001) Loss 1.5186 (1.3428) Prec@1 63.281 (68.756) Prec@5 83.594 (87.092) Epoch: [86][5900/10010] Time 0.329 (0.327) Data 0.001 (0.001) Loss 1.4167 (1.3429) Prec@1 65.625 (68.753) Prec@5 85.156 (87.090) Epoch: [86][5910/10010] Time 0.314 (0.327) Data 0.000 (0.001) Loss 1.1605 (1.3429) Prec@1 75.781 (68.756) Prec@5 89.062 (87.091) Epoch: [86][5920/10010] Time 0.318 (0.327) Data 0.001 (0.001) Loss 1.3397 (1.3431) Prec@1 67.969 (68.750) Prec@5 87.500 (87.088) Epoch: [86][5930/10010] Time 0.310 (0.327) Data 0.001 (0.001) Loss 1.3114 (1.3431) Prec@1 71.875 (68.748) Prec@5 86.719 (87.089) Epoch: [86][5940/10010] Time 0.336 (0.327) Data 0.001 (0.001) Loss 1.3228 (1.3430) Prec@1 70.312 (68.750) Prec@5 87.500 (87.088) Epoch: [86][5950/10010] Time 0.315 (0.327) Data 0.001 (0.001) Loss 1.5513 (1.3431) Prec@1 66.406 (68.748) Prec@5 84.375 (87.089) Epoch: [86][5960/10010] Time 0.320 (0.327) Data 0.000 (0.001) Loss 1.4219 (1.3431) Prec@1 68.750 (68.746) Prec@5 86.719 (87.088) Epoch: [86][5970/10010] Time 0.325 (0.327) Data 0.001 (0.001) Loss 1.2137 (1.3432) Prec@1 71.875 (68.744) Prec@5 89.062 (87.088) Epoch: [86][5980/10010] Time 0.320 (0.327) Data 0.001 (0.001) Loss 1.2810 (1.3432) Prec@1 69.531 (68.744) Prec@5 88.281 (87.089) Epoch: [86][5990/10010] Time 0.331 (0.327) Data 0.001 (0.001) Loss 1.3456 (1.3432) Prec@1 71.875 (68.743) Prec@5 88.281 (87.089) Epoch: [86][6000/10010] Time 0.313 (0.327) Data 0.001 (0.001) Loss 1.3885 (1.3432) Prec@1 70.312 (68.745) Prec@5 87.500 (87.088) Epoch: [86][6010/10010] Time 0.329 (0.327) Data 0.001 (0.001) Loss 1.3060 (1.3431) Prec@1 71.094 (68.749) Prec@5 87.500 (87.087) Epoch: [86][6020/10010] Time 0.316 (0.327) Data 0.001 (0.001) Loss 1.2034 (1.3432) Prec@1 68.750 (68.747) Prec@5 89.062 (87.086) Epoch: [86][6030/10010] Time 0.322 (0.327) Data 0.001 (0.001) Loss 1.0732 (1.3432) Prec@1 74.219 (68.749) Prec@5 92.188 (87.087) Epoch: [86][6040/10010] Time 0.338 (0.327) Data 0.001 (0.001) Loss 0.9044 (1.3432) Prec@1 80.469 (68.749) Prec@5 93.750 (87.085) Epoch: [86][6050/10010] Time 0.324 (0.327) Data 0.000 (0.001) Loss 1.4154 (1.3433) Prec@1 62.500 (68.746) Prec@5 85.938 (87.086) Epoch: [86][6060/10010] Time 0.331 (0.327) Data 0.001 (0.001) Loss 1.7321 (1.3433) Prec@1 65.625 (68.745) Prec@5 85.938 (87.086) Epoch: [86][6070/10010] Time 0.321 (0.327) Data 0.000 (0.001) Loss 1.1740 (1.3433) Prec@1 71.094 (68.744) Prec@5 91.406 (87.086) Epoch: [86][6080/10010] Time 0.323 (0.327) Data 0.001 (0.001) Loss 1.4479 (1.3434) Prec@1 64.844 (68.743) Prec@5 87.500 (87.085) Epoch: [86][6090/10010] Time 0.331 (0.327) Data 0.001 (0.001) Loss 1.2599 (1.3434) Prec@1 77.344 (68.742) Prec@5 87.500 (87.085) Epoch: [86][6100/10010] Time 0.319 (0.327) Data 0.001 (0.001) Loss 1.0393 (1.3433) Prec@1 73.438 (68.743) Prec@5 89.062 (87.087) Epoch: [86][6110/10010] Time 0.321 (0.327) Data 0.001 (0.001) Loss 1.2262 (1.3433) Prec@1 69.531 (68.742) Prec@5 86.719 (87.085) Epoch: [86][6120/10010] Time 0.320 (0.327) Data 0.000 (0.001) Loss 1.3376 (1.3435) Prec@1 71.875 (68.740) Prec@5 85.156 (87.082) Epoch: [86][6130/10010] Time 0.323 (0.327) Data 0.001 (0.001) Loss 1.4359 (1.3435) Prec@1 67.969 (68.740) Prec@5 88.281 (87.083) Epoch: [86][6140/10010] Time 0.332 (0.327) Data 0.001 (0.001) Loss 1.5406 (1.3435) Prec@1 62.500 (68.742) Prec@5 83.594 (87.082) Epoch: [86][6150/10010] Time 0.323 (0.327) Data 0.000 (0.001) Loss 1.2347 (1.3434) Prec@1 69.531 (68.742) Prec@5 87.500 (87.084) Epoch: [86][6160/10010] Time 0.330 (0.327) Data 0.001 (0.001) Loss 1.3257 (1.3434) Prec@1 67.188 (68.743) Prec@5 89.062 (87.084) /data/vision/torralba/deepscene/lib/anaconda2/lib/python2.7/site-packages/PIL/TiffImagePlugin.py:692: UserWarning: Possibly corrupt EXIF data. Expecting to read 19660800 bytes but only got 0. Skipping tag 0 "Skipping tag %s" % (size, len(data), tag)) /data/vision/torralba/deepscene/lib/anaconda2/lib/python2.7/site-packages/PIL/TiffImagePlugin.py:692: UserWarning: Possibly corrupt EXIF data. Expecting to read 18481152 bytes but only got 0. Skipping tag 0 "Skipping tag %s" % (size, len(data), tag)) /data/vision/torralba/deepscene/lib/anaconda2/lib/python2.7/site-packages/PIL/TiffImagePlugin.py:692: UserWarning: Possibly corrupt EXIF data. Expecting to read 37093376 bytes but only got 0. Skipping tag 0 "Skipping tag %s" % (size, len(data), tag)) /data/vision/torralba/deepscene/lib/anaconda2/lib/python2.7/site-packages/PIL/TiffImagePlugin.py:692: UserWarning: Possibly corrupt EXIF data. Expecting to read 39976960 bytes but only got 0. Skipping tag 0 "Skipping tag %s" % (size, len(data), tag)) /data/vision/torralba/deepscene/lib/anaconda2/lib/python2.7/site-packages/PIL/TiffImagePlugin.py:692: UserWarning: Possibly corrupt EXIF data. Expecting to read 34865152 bytes but only got 0. Skipping tag 0 "Skipping tag %s" % (size, len(data), tag)) /data/vision/torralba/deepscene/lib/anaconda2/lib/python2.7/site-packages/PIL/TiffImagePlugin.py:709: UserWarning: Corrupt EXIF data. Expecting to read 12 bytes but only got 10. warnings.warn(str(msg)) Epoch: [86][6170/10010] Time 0.318 (0.327) Data 0.001 (0.001) Loss 1.2554 (1.3436) Prec@1 66.406 (68.739) Prec@5 86.719 (87.081) Epoch: [86][6180/10010] Time 0.323 (0.327) Data 0.001 (0.001) Loss 1.0977 (1.3436) Prec@1 75.781 (68.739) Prec@5 89.844 (87.081) Epoch: [86][6190/10010] Time 0.338 (0.327) Data 0.001 (0.001) Loss 1.2194 (1.3436) Prec@1 75.000 (68.742) Prec@5 86.719 (87.080) Epoch: [86][6200/10010] Time 0.324 (0.327) Data 0.001 (0.001) Loss 1.4925 (1.3436) Prec@1 62.500 (68.741) Prec@5 82.812 (87.079) Epoch: [86][6210/10010] Time 0.330 (0.327) Data 0.001 (0.001) Loss 1.3754 (1.3435) Prec@1 67.188 (68.742) Prec@5 87.500 (87.079) Epoch: [86][6220/10010] Time 0.330 (0.327) Data 0.001 (0.001) Loss 1.3239 (1.3435) Prec@1 69.531 (68.743) Prec@5 85.938 (87.078) Epoch: [86][6230/10010] Time 0.334 (0.327) Data 0.000 (0.001) Loss 1.3835 (1.3435) Prec@1 70.312 (68.742) Prec@5 84.375 (87.077) Epoch: [86][6240/10010] Time 0.334 (0.327) Data 0.001 (0.001) Loss 1.2197 (1.3435) Prec@1 67.969 (68.741) Prec@5 89.062 (87.077) Epoch: [86][6250/10010] Time 0.321 (0.327) Data 0.001 (0.001) Loss 1.0603 (1.3435) Prec@1 75.000 (68.744) Prec@5 92.188 (87.077) Epoch: [86][6260/10010] Time 0.321 (0.327) Data 0.001 (0.001) Loss 1.2734 (1.3434) Prec@1 71.094 (68.745) Prec@5 85.156 (87.078) Epoch: [86][6270/10010] Time 0.315 (0.327) Data 0.000 (0.001) Loss 1.2005 (1.3434) Prec@1 72.656 (68.744) Prec@5 89.062 (87.076) Epoch: [86][6280/10010] Time 0.326 (0.327) Data 0.001 (0.001) Loss 1.3807 (1.3433) Prec@1 68.750 (68.744) Prec@5 84.375 (87.076) Epoch: [86][6290/10010] Time 0.337 (0.327) Data 0.001 (0.001) Loss 0.9083 (1.3434) Prec@1 78.125 (68.743) Prec@5 90.625 (87.076) Epoch: [86][6300/10010] Time 0.341 (0.327) Data 0.001 (0.001) Loss 1.2557 (1.3434) Prec@1 67.188 (68.744) Prec@5 85.938 (87.076) /data/vision/torralba/deepscene/lib/anaconda2/lib/python2.7/site-packages/PIL/TiffImagePlugin.py:692: UserWarning: Possibly corrupt EXIF data. Expecting to read 2555904 bytes but only got 0. Skipping tag 0 "Skipping tag %s" % (size, len(data), tag)) Epoch: [86][6310/10010] Time 0.331 (0.327) Data 0.001 (0.001) Loss 1.7428 (1.3436) Prec@1 61.719 (68.739) Prec@5 78.906 (87.074) Epoch: [86][6320/10010] Time 0.325 (0.327) Data 0.001 (0.001) Loss 1.3753 (1.3434) Prec@1 73.438 (68.742) Prec@5 86.719 (87.076) Epoch: [86][6330/10010] Time 0.327 (0.327) Data 0.001 (0.001) Loss 1.0864 (1.3434) Prec@1 77.344 (68.745) Prec@5 90.625 (87.076) Epoch: [86][6340/10010] Time 0.314 (0.327) Data 0.001 (0.001) Loss 1.2358 (1.3433) Prec@1 74.219 (68.746) Prec@5 89.062 (87.078) Epoch: [86][6350/10010] Time 0.335 (0.327) Data 0.000 (0.001) Loss 1.2066 (1.3433) Prec@1 72.656 (68.748) Prec@5 89.062 (87.079) Epoch: [86][6360/10010] Time 0.313 (0.327) Data 0.001 (0.001) Loss 1.2855 (1.3434) Prec@1 73.438 (68.745) Prec@5 88.281 (87.078) Epoch: [86][6370/10010] Time 0.326 (0.327) Data 0.001 (0.001) Loss 1.5360 (1.3434) Prec@1 67.188 (68.744) Prec@5 85.938 (87.079) Epoch: [86][6380/10010] Time 0.315 (0.327) Data 0.001 (0.001) Loss 1.5938 (1.3434) Prec@1 57.031 (68.743) Prec@5 82.812 (87.077) Epoch: [86][6390/10010] Time 0.331 (0.327) Data 0.001 (0.001) Loss 1.0759 (1.3434) Prec@1 78.125 (68.741) Prec@5 91.406 (87.077) Epoch: [86][6400/10010] Time 0.320 (0.327) Data 0.001 (0.001) Loss 1.2982 (1.3433) Prec@1 67.969 (68.741) Prec@5 85.938 (87.077) Epoch: [86][6410/10010] Time 0.319 (0.327) Data 0.000 (0.001) Loss 1.4863 (1.3435) Prec@1 60.156 (68.737) Prec@5 84.375 (87.076) Epoch: [86][6420/10010] Time 0.319 (0.327) Data 0.001 (0.001) Loss 1.2763 (1.3435) Prec@1 72.656 (68.736) Prec@5 86.719 (87.076) Epoch: [86][6430/10010] Time 0.333 (0.327) Data 0.001 (0.001) Loss 1.3212 (1.3435) Prec@1 71.094 (68.737) Prec@5 88.281 (87.076) Epoch: [86][6440/10010] Time 0.317 (0.327) Data 0.001 (0.001) Loss 1.7396 (1.3435) Prec@1 60.938 (68.737) Prec@5 80.469 (87.076) Epoch: [86][6450/10010] Time 0.327 (0.327) Data 0.001 (0.001) Loss 0.9618 (1.3435) Prec@1 75.000 (68.736) Prec@5 93.750 (87.076) Epoch: [86][6460/10010] Time 0.318 (0.327) Data 0.001 (0.001) Loss 1.3872 (1.3436) Prec@1 64.062 (68.733) Prec@5 85.938 (87.075) Epoch: [86][6470/10010] Time 0.328 (0.327) Data 0.001 (0.001) Loss 1.2628 (1.3436) Prec@1 71.875 (68.732) Prec@5 90.625 (87.077) Epoch: [86][6480/10010] Time 0.316 (0.327) Data 0.001 (0.001) Loss 1.6144 (1.3437) Prec@1 64.844 (68.731) Prec@5 83.594 (87.076) Epoch: [86][6490/10010] Time 0.343 (0.327) Data 0.001 (0.001) Loss 1.4595 (1.3437) Prec@1 68.750 (68.728) Prec@5 86.719 (87.076) Epoch: [86][6500/10010] Time 0.332 (0.327) Data 0.000 (0.001) Loss 1.1207 (1.3438) Prec@1 76.562 (68.728) Prec@5 87.500 (87.075) Epoch: [86][6510/10010] Time 0.319 (0.327) Data 0.001 (0.001) Loss 1.3789 (1.3437) Prec@1 71.094 (68.728) Prec@5 86.719 (87.077) Epoch: [86][6520/10010] Time 0.313 (0.327) Data 0.001 (0.001) Loss 1.3541 (1.3438) Prec@1 67.969 (68.726) Prec@5 85.156 (87.076) Epoch: [86][6530/10010] Time 0.327 (0.327) Data 0.001 (0.001) Loss 1.5236 (1.3438) Prec@1 67.188 (68.729) Prec@5 83.594 (87.076) Epoch: [86][6540/10010] Time 0.320 (0.327) Data 0.000 (0.001) Loss 1.5944 (1.3438) Prec@1 67.188 (68.728) Prec@5 81.250 (87.076) Epoch: [86][6550/10010] Time 0.319 (0.327) Data 0.001 (0.001) Loss 1.2860 (1.3439) Prec@1 68.750 (68.728) Prec@5 85.156 (87.074) Epoch: [86][6560/10010] Time 0.320 (0.327) Data 0.001 (0.001) Loss 1.4276 (1.3438) Prec@1 72.656 (68.731) Prec@5 85.938 (87.075) Epoch: [86][6570/10010] Time 0.337 (0.327) Data 0.001 (0.001) Loss 1.1242 (1.3438) Prec@1 74.219 (68.729) Prec@5 89.844 (87.076) Epoch: [86][6580/10010] Time 0.320 (0.327) Data 0.001 (0.001) Loss 1.4356 (1.3438) Prec@1 67.188 (68.729) Prec@5 85.156 (87.075) Epoch: [86][6590/10010] Time 0.339 (0.327) Data 0.001 (0.001) Loss 0.9922 (1.3438) Prec@1 74.219 (68.730) Prec@5 92.188 (87.075) Epoch: [86][6600/10010] Time 0.312 (0.327) Data 0.001 (0.001) Loss 1.2657 (1.3438) Prec@1 72.656 (68.732) Prec@5 89.062 (87.074) Epoch: [86][6610/10010] Time 0.336 (0.327) Data 0.001 (0.001) Loss 1.3390 (1.3437) Prec@1 68.750 (68.731) Prec@5 87.500 (87.075) Epoch: [86][6620/10010] Time 0.320 (0.327) Data 0.001 (0.001) Loss 1.5318 (1.3439) Prec@1 67.969 (68.727) Prec@5 84.375 (87.073) Epoch: [86][6630/10010] Time 0.319 (0.327) Data 0.001 (0.001) Loss 1.4834 (1.3439) Prec@1 65.625 (68.726) Prec@5 82.812 (87.074) Epoch: [86][6640/10010] Time 0.332 (0.327) Data 0.001 (0.001) Loss 1.4428 (1.3439) Prec@1 66.406 (68.726) Prec@5 84.375 (87.073) Epoch: [86][6650/10010] Time 0.315 (0.327) Data 0.001 (0.001) Loss 1.6737 (1.3440) Prec@1 61.719 (68.724) Prec@5 85.156 (87.072) Epoch: [86][6660/10010] Time 0.321 (0.327) Data 0.001 (0.001) Loss 1.5051 (1.3441) Prec@1 66.406 (68.722) Prec@5 84.375 (87.071) Epoch: [86][6670/10010] Time 0.317 (0.327) Data 0.001 (0.001) Loss 1.3400 (1.3441) Prec@1 66.406 (68.721) Prec@5 89.844 (87.072) Epoch: [86][6680/10010] Time 0.321 (0.327) Data 0.000 (0.001) Loss 1.0483 (1.3440) Prec@1 73.438 (68.724) Prec@5 92.969 (87.074) Epoch: [86][6690/10010] Time 0.331 (0.327) Data 0.001 (0.001) Loss 1.2874 (1.3441) Prec@1 71.094 (68.724) Prec@5 86.719 (87.073) Epoch: [86][6700/10010] Time 0.334 (0.327) Data 0.001 (0.001) Loss 1.1280 (1.3441) Prec@1 74.219 (68.724) Prec@5 88.281 (87.072) Epoch: [86][6710/10010] Time 0.329 (0.327) Data 0.000 (0.001) Loss 1.2870 (1.3440) Prec@1 71.875 (68.726) Prec@5 90.625 (87.074) Epoch: [86][6720/10010] Time 0.339 (0.327) Data 0.001 (0.001) Loss 1.3588 (1.3440) Prec@1 67.969 (68.726) Prec@5 82.031 (87.075) Epoch: [86][6730/10010] Time 0.338 (0.327) Data 0.001 (0.001) Loss 1.2347 (1.3440) Prec@1 68.750 (68.723) Prec@5 87.500 (87.076) Epoch: [86][6740/10010] Time 0.334 (0.327) Data 0.000 (0.001) Loss 0.8788 (1.3439) Prec@1 75.000 (68.724) Prec@5 96.094 (87.079) Epoch: [86][6750/10010] Time 0.321 (0.327) Data 0.001 (0.001) Loss 1.1732 (1.3438) Prec@1 75.781 (68.725) Prec@5 89.062 (87.079) Epoch: [86][6760/10010] Time 0.331 (0.327) Data 0.000 (0.001) Loss 1.0393 (1.3439) Prec@1 75.000 (68.724) Prec@5 92.969 (87.080) Epoch: [86][6770/10010] Time 0.331 (0.327) Data 0.001 (0.001) Loss 1.2748 (1.3439) Prec@1 68.750 (68.720) Prec@5 86.719 (87.080) Epoch: [86][6780/10010] Time 0.327 (0.327) Data 0.000 (0.001) Loss 1.3123 (1.3438) Prec@1 68.750 (68.720) Prec@5 89.844 (87.080) Epoch: [86][6790/10010] Time 0.341 (0.327) Data 0.001 (0.001) Loss 1.4845 (1.3438) Prec@1 70.312 (68.722) Prec@5 81.250 (87.079) Epoch: [86][6800/10010] Time 0.322 (0.327) Data 0.000 (0.001) Loss 1.1444 (1.3438) Prec@1 71.875 (68.721) Prec@5 89.062 (87.079) Epoch: [86][6810/10010] Time 0.325 (0.327) Data 0.001 (0.001) Loss 1.4962 (1.3439) Prec@1 67.969 (68.718) Prec@5 83.594 (87.078) Epoch: [86][6820/10010] Time 0.325 (0.327) Data 0.000 (0.001) Loss 1.1733 (1.3438) Prec@1 72.656 (68.719) Prec@5 93.750 (87.079) Epoch: [86][6830/10010] Time 0.322 (0.327) Data 0.000 (0.001) Loss 1.6854 (1.3439) Prec@1 64.844 (68.718) Prec@5 82.812 (87.077) Epoch: [86][6840/10010] Time 0.337 (0.327) Data 0.001 (0.001) Loss 1.2641 (1.3441) Prec@1 67.969 (68.714) Prec@5 87.500 (87.077) Epoch: [86][6850/10010] Time 0.318 (0.327) Data 0.001 (0.001) Loss 1.3817 (1.3441) Prec@1 67.969 (68.715) Prec@5 88.281 (87.078) Epoch: [86][6860/10010] Time 0.316 (0.327) Data 0.001 (0.001) Loss 1.4414 (1.3440) Prec@1 65.625 (68.717) Prec@5 89.062 (87.080) Epoch: [86][6870/10010] Time 0.320 (0.327) Data 0.001 (0.001) Loss 1.0546 (1.3440) Prec@1 71.875 (68.717) Prec@5 90.625 (87.080) Epoch: [86][6880/10010] Time 0.328 (0.327) Data 0.001 (0.001) Loss 1.1469 (1.3440) Prec@1 70.312 (68.716) Prec@5 88.281 (87.080) Epoch: [86][6890/10010] Time 0.315 (0.327) Data 0.000 (0.001) Loss 1.4177 (1.3439) Prec@1 65.625 (68.718) Prec@5 86.719 (87.081) Epoch: [86][6900/10010] Time 0.325 (0.327) Data 0.001 (0.001) Loss 1.2310 (1.3438) Prec@1 71.875 (68.721) Prec@5 88.281 (87.083) Epoch: [86][6910/10010] Time 0.335 (0.327) Data 0.001 (0.001) Loss 1.6347 (1.3436) Prec@1 66.406 (68.724) Prec@5 81.250 (87.083) Epoch: [86][6920/10010] Time 0.331 (0.327) Data 0.001 (0.001) Loss 1.1870 (1.3436) Prec@1 70.312 (68.723) Prec@5 87.500 (87.083) Epoch: [86][6930/10010] Time 0.325 (0.327) Data 0.001 (0.001) Loss 1.2386 (1.3437) Prec@1 71.875 (68.722) Prec@5 88.281 (87.081) Epoch: [86][6940/10010] Time 0.337 (0.327) Data 0.001 (0.001) Loss 1.3245 (1.3438) Prec@1 67.969 (68.721) Prec@5 89.062 (87.079) Epoch: [86][6950/10010] Time 0.340 (0.327) Data 0.001 (0.001) Loss 1.3104 (1.3438) Prec@1 67.188 (68.718) Prec@5 88.281 (87.079) Epoch: [86][6960/10010] Time 0.320 (0.327) Data 0.000 (0.001) Loss 1.2365 (1.3438) Prec@1 71.094 (68.717) Prec@5 89.062 (87.080) Epoch: [86][6970/10010] Time 0.317 (0.327) Data 0.001 (0.001) Loss 1.6353 (1.3439) Prec@1 60.156 (68.713) Prec@5 85.938 (87.080) Epoch: [86][6980/10010] Time 0.318 (0.327) Data 0.001 (0.001) Loss 1.6239 (1.3440) Prec@1 63.281 (68.709) Prec@5 86.719 (87.081) Epoch: [86][6990/10010] Time 0.319 (0.327) Data 0.000 (0.001) Loss 1.2151 (1.3441) Prec@1 69.531 (68.706) Prec@5 89.844 (87.079) Epoch: [86][7000/10010] Time 0.334 (0.327) Data 0.001 (0.001) Loss 1.3462 (1.3441) Prec@1 63.281 (68.705) Prec@5 88.281 (87.079) Epoch: [86][7010/10010] Time 0.324 (0.327) Data 0.001 (0.001) Loss 1.4478 (1.3442) Prec@1 67.969 (68.703) Prec@5 84.375 (87.077) Epoch: [86][7020/10010] Time 0.331 (0.327) Data 0.001 (0.001) Loss 1.1345 (1.3441) Prec@1 75.000 (68.705) Prec@5 89.062 (87.077) Epoch: [86][7030/10010] Time 0.327 (0.327) Data 0.000 (0.001) Loss 1.1232 (1.3441) Prec@1 76.562 (68.705) Prec@5 88.281 (87.078) Epoch: [86][7040/10010] Time 0.335 (0.327) Data 0.001 (0.001) Loss 1.2890 (1.3440) Prec@1 67.969 (68.709) Prec@5 84.375 (87.079) Epoch: [86][7050/10010] Time 0.337 (0.327) Data 0.001 (0.001) Loss 1.6315 (1.3439) Prec@1 66.406 (68.709) Prec@5 79.688 (87.080) Epoch: [86][7060/10010] Time 0.332 (0.327) Data 0.001 (0.001) Loss 1.2022 (1.3440) Prec@1 72.656 (68.707) Prec@5 88.281 (87.079) Epoch: [86][7070/10010] Time 0.318 (0.327) Data 0.001 (0.001) Loss 1.2799 (1.3440) Prec@1 71.094 (68.708) Prec@5 86.719 (87.078) Epoch: [86][7080/10010] Time 0.324 (0.327) Data 0.000 (0.001) Loss 1.3136 (1.3440) Prec@1 65.625 (68.705) Prec@5 86.719 (87.077) Epoch: [86][7090/10010] Time 0.319 (0.327) Data 0.001 (0.001) Loss 1.3317 (1.3441) Prec@1 70.312 (68.703) Prec@5 88.281 (87.076) Epoch: [86][7100/10010] Time 0.318 (0.327) Data 0.001 (0.001) Loss 1.6504 (1.3442) Prec@1 65.625 (68.703) Prec@5 85.156 (87.075) Epoch: [86][7110/10010] Time 0.318 (0.327) Data 0.001 (0.001) Loss 1.2655 (1.3442) Prec@1 71.094 (68.703) Prec@5 89.062 (87.076) Epoch: [86][7120/10010] Time 0.319 (0.327) Data 0.001 (0.001) Loss 1.3218 (1.3442) Prec@1 73.438 (68.704) Prec@5 87.500 (87.077) Epoch: [86][7130/10010] Time 0.329 (0.327) Data 0.000 (0.001) Loss 1.3856 (1.3443) Prec@1 65.625 (68.702) Prec@5 85.938 (87.077) Epoch: [86][7140/10010] Time 0.338 (0.327) Data 0.001 (0.001) Loss 1.7083 (1.3444) Prec@1 61.719 (68.702) Prec@5 85.938 (87.077) Epoch: [86][7150/10010] Time 0.330 (0.327) Data 0.001 (0.001) Loss 1.2934 (1.3443) Prec@1 67.969 (68.704) Prec@5 87.500 (87.079) Epoch: [86][7160/10010] Time 0.336 (0.327) Data 0.000 (0.001) Loss 1.0594 (1.3442) Prec@1 72.656 (68.705) Prec@5 91.406 (87.080) Epoch: [86][7170/10010] Time 0.334 (0.327) Data 0.001 (0.001) Loss 1.2942 (1.3441) Prec@1 63.281 (68.705) Prec@5 86.719 (87.081) Epoch: [86][7180/10010] Time 0.339 (0.327) Data 0.001 (0.001) Loss 1.3495 (1.3442) Prec@1 65.625 (68.706) Prec@5 87.500 (87.081) Epoch: [86][7190/10010] Time 0.321 (0.327) Data 0.001 (0.001) Loss 1.2633 (1.3442) Prec@1 75.000 (68.706) Prec@5 90.625 (87.082) Epoch: [86][7200/10010] Time 0.336 (0.327) Data 0.001 (0.001) Loss 1.4617 (1.3443) Prec@1 63.281 (68.702) Prec@5 83.594 (87.081) Epoch: [86][7210/10010] Time 0.327 (0.327) Data 0.000 (0.001) Loss 1.5946 (1.3444) Prec@1 65.625 (68.698) Prec@5 82.031 (87.080) Epoch: [86][7220/10010] Time 0.333 (0.327) Data 0.001 (0.001) Loss 1.2178 (1.3445) Prec@1 71.094 (68.694) Prec@5 87.500 (87.078) Epoch: [86][7230/10010] Time 0.327 (0.327) Data 0.001 (0.001) Loss 1.1094 (1.3445) Prec@1 72.656 (68.691) Prec@5 90.625 (87.078) Epoch: [86][7240/10010] Time 0.336 (0.327) Data 0.000 (0.001) Loss 1.5016 (1.3446) Prec@1 60.938 (68.691) Prec@5 84.375 (87.077) Epoch: [86][7250/10010] Time 0.334 (0.327) Data 0.000 (0.001) Loss 1.5337 (1.3447) Prec@1 67.969 (68.689) Prec@5 84.375 (87.076) Epoch: [86][7260/10010] Time 0.321 (0.327) Data 0.001 (0.001) Loss 0.9637 (1.3447) Prec@1 76.562 (68.689) Prec@5 92.188 (87.076) Epoch: [86][7270/10010] Time 0.314 (0.327) Data 0.000 (0.001) Loss 1.4553 (1.3447) Prec@1 71.875 (68.690) Prec@5 85.156 (87.077) Epoch: [86][7280/10010] Time 0.318 (0.327) Data 0.000 (0.001) Loss 1.6672 (1.3448) Prec@1 64.062 (68.690) Prec@5 82.812 (87.075) Epoch: [86][7290/10010] Time 0.315 (0.327) Data 0.001 (0.001) Loss 1.5971 (1.3447) Prec@1 64.062 (68.691) Prec@5 84.375 (87.077) Epoch: [86][7300/10010] Time 0.341 (0.327) Data 0.000 (0.001) Loss 1.4165 (1.3447) Prec@1 65.625 (68.691) Prec@5 85.156 (87.075) Epoch: [86][7310/10010] Time 0.336 (0.327) Data 0.001 (0.001) Loss 1.2901 (1.3447) Prec@1 72.656 (68.691) Prec@5 88.281 (87.074) Epoch: [86][7320/10010] Time 0.320 (0.327) Data 0.000 (0.001) Loss 1.3714 (1.3448) Prec@1 68.750 (68.690) Prec@5 85.938 (87.074) Epoch: [86][7330/10010] Time 0.338 (0.327) Data 0.001 (0.001) Loss 1.2610 (1.3447) Prec@1 66.406 (68.691) Prec@5 88.281 (87.075) Epoch: [86][7340/10010] Time 0.332 (0.327) Data 0.001 (0.001) Loss 1.3862 (1.3447) Prec@1 65.625 (68.691) Prec@5 89.062 (87.074) Epoch: [86][7350/10010] Time 0.321 (0.327) Data 0.000 (0.001) Loss 1.5892 (1.3447) Prec@1 60.938 (68.690) Prec@5 85.938 (87.074) Epoch: [86][7360/10010] Time 0.320 (0.327) Data 0.001 (0.001) Loss 1.5196 (1.3448) Prec@1 62.500 (68.687) Prec@5 83.594 (87.072) Epoch: [86][7370/10010] Time 0.321 (0.327) Data 0.001 (0.001) Loss 1.2204 (1.3449) Prec@1 71.875 (68.685) Prec@5 92.188 (87.073) Epoch: [86][7380/10010] Time 0.337 (0.327) Data 0.001 (0.001) Loss 1.2634 (1.3449) Prec@1 73.438 (68.687) Prec@5 89.062 (87.073) Epoch: [86][7390/10010] Time 0.325 (0.327) Data 0.001 (0.001) Loss 1.3168 (1.3449) Prec@1 70.312 (68.686) Prec@5 83.594 (87.072) Epoch: [86][7400/10010] Time 0.318 (0.327) Data 0.001 (0.001) Loss 1.1206 (1.3449) Prec@1 76.562 (68.688) Prec@5 90.625 (87.073) Epoch: [86][7410/10010] Time 0.337 (0.327) Data 0.000 (0.001) Loss 1.4087 (1.3448) Prec@1 67.188 (68.688) Prec@5 88.281 (87.075) Epoch: [86][7420/10010] Time 0.332 (0.327) Data 0.000 (0.001) Loss 1.2825 (1.3450) Prec@1 71.094 (68.686) Prec@5 86.719 (87.073) Epoch: [86][7430/10010] Time 0.320 (0.327) Data 0.001 (0.001) Loss 1.3488 (1.3451) Prec@1 67.969 (68.684) Prec@5 84.375 (87.072) Epoch: [86][7440/10010] Time 0.337 (0.327) Data 0.000 (0.001) Loss 1.4236 (1.3451) Prec@1 70.312 (68.685) Prec@5 85.938 (87.071) Epoch: [86][7450/10010] Time 0.344 (0.327) Data 0.000 (0.001) Loss 1.5383 (1.3451) Prec@1 67.188 (68.686) Prec@5 85.156 (87.069) Epoch: [86][7460/10010] Time 0.341 (0.327) Data 0.000 (0.001) Loss 1.3083 (1.3451) Prec@1 71.875 (68.686) Prec@5 89.844 (87.070) Epoch: [86][7470/10010] Time 0.326 (0.327) Data 0.001 (0.001) Loss 1.3180 (1.3452) Prec@1 64.844 (68.684) Prec@5 88.281 (87.068) Epoch: [86][7480/10010] Time 0.328 (0.327) Data 0.001 (0.001) Loss 1.5866 (1.3452) Prec@1 64.844 (68.684) Prec@5 87.500 (87.067) Epoch: [86][7490/10010] Time 0.324 (0.327) Data 0.001 (0.001) Loss 1.3050 (1.3451) Prec@1 71.875 (68.685) Prec@5 86.719 (87.068) Epoch: [86][7500/10010] Time 0.336 (0.327) Data 0.001 (0.001) Loss 1.5101 (1.3451) Prec@1 67.188 (68.685) Prec@5 85.938 (87.069) Epoch: [86][7510/10010] Time 0.344 (0.327) Data 0.001 (0.001) Loss 1.4147 (1.3451) Prec@1 68.750 (68.686) Prec@5 87.500 (87.069) Epoch: [86][7520/10010] Time 0.328 (0.327) Data 0.001 (0.001) Loss 1.4120 (1.3451) Prec@1 71.094 (68.686) Prec@5 83.594 (87.070) Epoch: [86][7530/10010] Time 0.327 (0.327) Data 0.000 (0.001) Loss 1.0734 (1.3451) Prec@1 74.219 (68.687) Prec@5 89.062 (87.069) Epoch: [86][7540/10010] Time 0.326 (0.327) Data 0.001 (0.001) Loss 1.3666 (1.3450) Prec@1 67.969 (68.689) Prec@5 92.969 (87.069) Epoch: [86][7550/10010] Time 0.332 (0.327) Data 0.001 (0.001) Loss 1.4646 (1.3450) Prec@1 67.188 (68.692) Prec@5 83.594 (87.069) Epoch: [86][7560/10010] Time 0.344 (0.327) Data 0.000 (0.001) Loss 1.1696 (1.3450) Prec@1 76.562 (68.694) Prec@5 88.281 (87.071) Epoch: [86][7570/10010] Time 0.310 (0.327) Data 0.001 (0.001) Loss 1.5003 (1.3449) Prec@1 72.656 (68.695) Prec@5 85.938 (87.071) Epoch: [86][7580/10010] Time 0.340 (0.327) Data 0.001 (0.001) Loss 1.6338 (1.3449) Prec@1 64.844 (68.695) Prec@5 82.031 (87.072) Epoch: [86][7590/10010] Time 0.316 (0.327) Data 0.001 (0.001) Loss 1.0878 (1.3449) Prec@1 73.438 (68.694) Prec@5 90.625 (87.070) Epoch: [86][7600/10010] Time 0.321 (0.327) Data 0.000 (0.001) Loss 1.1853 (1.3448) Prec@1 71.875 (68.695) Prec@5 88.281 (87.071) Epoch: [86][7610/10010] Time 0.330 (0.327) Data 0.001 (0.001) Loss 1.4614 (1.3448) Prec@1 67.969 (68.695) Prec@5 86.719 (87.071) Epoch: [86][7620/10010] Time 0.323 (0.327) Data 0.000 (0.001) Loss 1.3870 (1.3449) Prec@1 68.750 (68.694) Prec@5 87.500 (87.071) Epoch: [86][7630/10010] Time 0.334 (0.327) Data 0.001 (0.001) Loss 1.3426 (1.3448) Prec@1 67.188 (68.695) Prec@5 87.500 (87.072) Epoch: [86][7640/10010] Time 0.320 (0.327) Data 0.001 (0.001) Loss 1.6289 (1.3447) Prec@1 67.188 (68.697) Prec@5 79.688 (87.072) Epoch: [86][7650/10010] Time 0.330 (0.327) Data 0.001 (0.001) Loss 1.5809 (1.3448) Prec@1 60.156 (68.696) Prec@5 82.031 (87.071) Epoch: [86][7660/10010] Time 0.322 (0.327) Data 0.001 (0.001) Loss 1.3008 (1.3447) Prec@1 71.094 (68.697) Prec@5 85.938 (87.072) Epoch: [86][7670/10010] Time 0.315 (0.327) Data 0.000 (0.001) Loss 1.3293 (1.3447) Prec@1 69.531 (68.698) Prec@5 89.062 (87.072) Epoch: [86][7680/10010] Time 0.317 (0.327) Data 0.001 (0.001) Loss 1.0977 (1.3447) Prec@1 74.219 (68.698) Prec@5 92.188 (87.073) Epoch: [86][7690/10010] Time 0.310 (0.327) Data 0.001 (0.001) Loss 1.3990 (1.3447) Prec@1 64.062 (68.699) Prec@5 85.938 (87.073) Epoch: [86][7700/10010] Time 0.319 (0.327) Data 0.001 (0.001) Loss 1.8227 (1.3447) Prec@1 61.719 (68.697) Prec@5 82.031 (87.072) Epoch: [86][7710/10010] Time 0.315 (0.327) Data 0.001 (0.001) Loss 1.1748 (1.3447) Prec@1 71.875 (68.699) Prec@5 88.281 (87.073) Epoch: [86][7720/10010] Time 0.317 (0.327) Data 0.000 (0.001) Loss 1.0676 (1.3447) Prec@1 71.875 (68.698) Prec@5 92.969 (87.071) Epoch: [86][7730/10010] Time 0.340 (0.327) Data 0.001 (0.001) Loss 1.6882 (1.3449) Prec@1 63.281 (68.697) Prec@5 82.812 (87.070) Epoch: [86][7740/10010] Time 0.319 (0.327) Data 0.001 (0.001) Loss 1.1996 (1.3448) Prec@1 71.094 (68.699) Prec@5 88.281 (87.068) Epoch: [86][7750/10010] Time 0.337 (0.327) Data 0.001 (0.001) Loss 1.5263 (1.3449) Prec@1 68.750 (68.698) Prec@5 85.156 (87.067) Epoch: [86][7760/10010] Time 0.333 (0.327) Data 0.000 (0.001) Loss 1.6158 (1.3450) Prec@1 68.750 (68.697) Prec@5 82.031 (87.064) Epoch: [86][7770/10010] Time 0.339 (0.327) Data 0.001 (0.001) Loss 1.4813 (1.3451) Prec@1 64.062 (68.696) Prec@5 85.938 (87.063) Epoch: [86][7780/10010] Time 0.313 (0.327) Data 0.001 (0.001) Loss 1.4152 (1.3452) Prec@1 69.531 (68.697) Prec@5 85.156 (87.061) Epoch: [86][7790/10010] Time 0.320 (0.327) Data 0.001 (0.001) Loss 1.5626 (1.3453) Prec@1 63.281 (68.694) Prec@5 84.375 (87.059) Epoch: [86][7800/10010] Time 0.326 (0.327) Data 0.000 (0.001) Loss 1.3432 (1.3453) Prec@1 68.750 (68.698) Prec@5 89.844 (87.060) Epoch: [86][7810/10010] Time 0.322 (0.327) Data 0.001 (0.001) Loss 1.2596 (1.3453) Prec@1 69.531 (68.696) Prec@5 89.844 (87.058) Epoch: [86][7820/10010] Time 0.339 (0.327) Data 0.001 (0.001) Loss 1.2301 (1.3453) Prec@1 69.531 (68.697) Prec@5 87.500 (87.057) Epoch: [86][7830/10010] Time 0.322 (0.327) Data 0.001 (0.001) Loss 1.2766 (1.3453) Prec@1 71.875 (68.696) Prec@5 88.281 (87.056) Epoch: [86][7840/10010] Time 0.321 (0.327) Data 0.001 (0.001) Loss 1.3945 (1.3453) Prec@1 65.625 (68.695) Prec@5 86.719 (87.057) Epoch: [86][7850/10010] Time 0.321 (0.327) Data 0.000 (0.001) Loss 1.1843 (1.3452) Prec@1 68.750 (68.697) Prec@5 89.062 (87.058) Epoch: [86][7860/10010] Time 0.328 (0.327) Data 0.001 (0.001) Loss 1.4281 (1.3453) Prec@1 65.625 (68.697) Prec@5 85.938 (87.057) Epoch: [86][7870/10010] Time 0.322 (0.327) Data 0.000 (0.001) Loss 1.8524 (1.3454) Prec@1 60.938 (68.695) Prec@5 76.562 (87.056) Epoch: [86][7880/10010] Time 0.334 (0.327) Data 0.000 (0.001) Loss 1.4159 (1.3454) Prec@1 64.844 (68.695) Prec@5 86.719 (87.055) Epoch: [86][7890/10010] Time 0.331 (0.327) Data 0.000 (0.001) Loss 1.2019 (1.3454) Prec@1 70.312 (68.694) Prec@5 87.500 (87.056) Epoch: [86][7900/10010] Time 0.335 (0.327) Data 0.001 (0.001) Loss 1.5529 (1.3455) Prec@1 67.188 (68.693) Prec@5 79.688 (87.054) Epoch: [86][7910/10010] Time 0.330 (0.327) Data 0.001 (0.001) Loss 1.3395 (1.3455) Prec@1 67.969 (68.694) Prec@5 86.719 (87.055) Epoch: [86][7920/10010] Time 0.313 (0.327) Data 0.001 (0.001) Loss 1.4211 (1.3454) Prec@1 65.625 (68.696) Prec@5 85.156 (87.055) Epoch: [86][7930/10010] Time 0.335 (0.327) Data 0.000 (0.001) Loss 1.5162 (1.3454) Prec@1 63.281 (68.696) Prec@5 85.938 (87.055) Epoch: [86][7940/10010] Time 0.318 (0.327) Data 0.001 (0.001) Loss 1.1631 (1.3454) Prec@1 71.094 (68.697) Prec@5 88.281 (87.056) Epoch: [86][7950/10010] Time 0.335 (0.327) Data 0.001 (0.001) Loss 1.1791 (1.3453) Prec@1 70.312 (68.694) Prec@5 88.281 (87.057) Epoch: [86][7960/10010] Time 0.334 (0.327) Data 0.001 (0.001) Loss 1.0964 (1.3454) Prec@1 75.000 (68.693) Prec@5 92.188 (87.055) Epoch: [86][7970/10010] Time 0.334 (0.327) Data 0.001 (0.001) Loss 1.4443 (1.3454) Prec@1 71.094 (68.693) Prec@5 85.938 (87.055) Epoch: [86][7980/10010] Time 0.315 (0.327) Data 0.001 (0.001) Loss 1.2160 (1.3455) Prec@1 71.875 (68.692) Prec@5 88.281 (87.055) Epoch: [86][7990/10010] Time 0.330 (0.327) Data 0.001 (0.001) Loss 1.3701 (1.3455) Prec@1 67.188 (68.689) Prec@5 86.719 (87.056) Epoch: [86][8000/10010] Time 0.337 (0.327) Data 0.000 (0.001) Loss 1.3764 (1.3456) Prec@1 71.094 (68.689) Prec@5 86.719 (87.055) Epoch: [86][8010/10010] Time 0.332 (0.327) Data 0.001 (0.001) Loss 1.5194 (1.3456) Prec@1 58.594 (68.688) Prec@5 85.156 (87.054) Epoch: [86][8020/10010] Time 0.337 (0.327) Data 0.001 (0.001) Loss 1.3363 (1.3456) Prec@1 67.188 (68.688) Prec@5 87.500 (87.054) Epoch: [86][8030/10010] Time 0.323 (0.327) Data 0.001 (0.001) Loss 1.1743 (1.3455) Prec@1 71.094 (68.690) Prec@5 88.281 (87.054) Epoch: [86][8040/10010] Time 0.337 (0.327) Data 0.001 (0.001) Loss 1.2010 (1.3455) Prec@1 73.438 (68.691) Prec@5 89.062 (87.054) Epoch: [86][8050/10010] Time 0.329 (0.327) Data 0.001 (0.001) Loss 1.3774 (1.3455) Prec@1 68.750 (68.691) Prec@5 85.156 (87.055) Epoch: [86][8060/10010] Time 0.325 (0.327) Data 0.001 (0.001) Loss 1.6036 (1.3456) Prec@1 60.156 (68.690) Prec@5 82.812 (87.054) Epoch: [86][8070/10010] Time 0.318 (0.327) Data 0.001 (0.001) Loss 1.3176 (1.3455) Prec@1 67.188 (68.692) Prec@5 89.844 (87.055) Epoch: [86][8080/10010] Time 0.321 (0.327) Data 0.001 (0.001) Loss 1.0847 (1.3456) Prec@1 76.562 (68.694) Prec@5 89.844 (87.055) Epoch: [86][8090/10010] Time 0.321 (0.327) Data 0.001 (0.001) Loss 1.0894 (1.3455) Prec@1 78.125 (68.697) Prec@5 89.062 (87.057) Epoch: [86][8100/10010] Time 0.340 (0.327) Data 0.001 (0.001) Loss 1.2035 (1.3454) Prec@1 70.312 (68.700) Prec@5 89.062 (87.058) Epoch: [86][8110/10010] Time 0.338 (0.327) Data 0.000 (0.001) Loss 1.0645 (1.3453) Prec@1 78.125 (68.701) Prec@5 89.062 (87.059) Epoch: [86][8120/10010] Time 0.321 (0.327) Data 0.000 (0.001) Loss 1.2512 (1.3453) Prec@1 74.219 (68.702) Prec@5 90.625 (87.058) Epoch: [86][8130/10010] Time 0.341 (0.327) Data 0.001 (0.001) Loss 1.2456 (1.3453) Prec@1 75.000 (68.702) Prec@5 87.500 (87.057) Epoch: [86][8140/10010] Time 0.319 (0.327) Data 0.001 (0.001) Loss 1.4983 (1.3454) Prec@1 66.406 (68.701) Prec@5 84.375 (87.056) Epoch: [86][8150/10010] Time 0.323 (0.327) Data 0.000 (0.001) Loss 1.5658 (1.3454) Prec@1 63.281 (68.701) Prec@5 83.594 (87.056) Epoch: [86][8160/10010] Time 0.319 (0.327) Data 0.001 (0.001) Loss 1.3905 (1.3454) Prec@1 67.188 (68.700) Prec@5 85.156 (87.056) Epoch: [86][8170/10010] Time 0.340 (0.327) Data 0.001 (0.001) Loss 1.3286 (1.3454) Prec@1 67.188 (68.702) Prec@5 85.156 (87.057) Epoch: [86][8180/10010] Time 0.339 (0.327) Data 0.001 (0.001) Loss 1.4290 (1.3454) Prec@1 66.406 (68.701) Prec@5 89.844 (87.057) Epoch: [86][8190/10010] Time 0.314 (0.327) Data 0.001 (0.001) Loss 1.3681 (1.3454) Prec@1 68.750 (68.702) Prec@5 87.500 (87.057) Epoch: [86][8200/10010] Time 0.321 (0.327) Data 0.000 (0.001) Loss 1.1518 (1.3455) Prec@1 71.094 (68.700) Prec@5 89.062 (87.055) Epoch: [86][8210/10010] Time 0.336 (0.327) Data 0.000 (0.001) Loss 1.4556 (1.3455) Prec@1 62.500 (68.700) Prec@5 85.938 (87.054) Epoch: [86][8220/10010] Time 0.328 (0.327) Data 0.000 (0.001) Loss 1.3256 (1.3455) Prec@1 71.094 (68.701) Prec@5 89.062 (87.054) Epoch: [86][8230/10010] Time 0.324 (0.327) Data 0.001 (0.001) Loss 1.3352 (1.3456) Prec@1 71.094 (68.699) Prec@5 86.719 (87.054) Epoch: [86][8240/10010] Time 0.318 (0.327) Data 0.000 (0.001) Loss 1.0396 (1.3456) Prec@1 73.438 (68.699) Prec@5 90.625 (87.054) Epoch: [86][8250/10010] Time 0.330 (0.327) Data 0.001 (0.001) Loss 1.2252 (1.3455) Prec@1 67.969 (68.700) Prec@5 89.844 (87.056) Epoch: [86][8260/10010] Time 0.318 (0.327) Data 0.001 (0.001) Loss 1.3445 (1.3455) Prec@1 67.188 (68.699) Prec@5 85.156 (87.056) Epoch: [86][8270/10010] Time 0.337 (0.327) Data 0.001 (0.001) Loss 1.3288 (1.3454) Prec@1 71.094 (68.700) Prec@5 88.281 (87.057) Epoch: [86][8280/10010] Time 0.342 (0.327) Data 0.001 (0.001) Loss 1.4197 (1.3456) Prec@1 63.281 (68.696) Prec@5 84.375 (87.055) Epoch: [86][8290/10010] Time 0.308 (0.327) Data 0.001 (0.001) Loss 1.3495 (1.3455) Prec@1 69.531 (68.696) Prec@5 87.500 (87.056) Epoch: [86][8300/10010] Time 0.345 (0.327) Data 0.000 (0.001) Loss 1.2204 (1.3455) Prec@1 72.656 (68.696) Prec@5 89.844 (87.057) Epoch: [86][8310/10010] Time 0.318 (0.327) Data 0.001 (0.001) Loss 1.3690 (1.3455) Prec@1 68.750 (68.695) Prec@5 89.062 (87.056) Epoch: [86][8320/10010] Time 0.340 (0.327) Data 0.001 (0.001) Loss 1.4010 (1.3457) Prec@1 68.750 (68.692) Prec@5 87.500 (87.054) Epoch: [86][8330/10010] Time 0.323 (0.327) Data 0.001 (0.001) Loss 1.1028 (1.3457) Prec@1 69.531 (68.692) Prec@5 93.750 (87.055) Epoch: [86][8340/10010] Time 0.339 (0.327) Data 0.001 (0.001) Loss 1.4436 (1.3458) Prec@1 70.312 (68.689) Prec@5 87.500 (87.052) Epoch: [86][8350/10010] Time 0.339 (0.327) Data 0.001 (0.001) Loss 1.2765 (1.3458) Prec@1 71.094 (68.691) Prec@5 88.281 (87.051) Epoch: [86][8360/10010] Time 0.324 (0.327) Data 0.000 (0.001) Loss 1.1648 (1.3458) Prec@1 71.875 (68.690) Prec@5 87.500 (87.052) Epoch: [86][8370/10010] Time 0.314 (0.327) Data 0.001 (0.001) Loss 1.1459 (1.3458) Prec@1 71.094 (68.691) Prec@5 89.062 (87.053) Epoch: [86][8380/10010] Time 0.338 (0.327) Data 0.001 (0.001) Loss 1.5394 (1.3458) Prec@1 64.062 (68.689) Prec@5 85.156 (87.053) Epoch: [86][8390/10010] Time 0.327 (0.327) Data 0.000 (0.001) Loss 1.3108 (1.3457) Prec@1 68.750 (68.691) Prec@5 86.719 (87.054) Epoch: [86][8400/10010] Time 0.338 (0.327) Data 0.000 (0.001) Loss 1.1612 (1.3456) Prec@1 75.000 (68.695) Prec@5 90.625 (87.057) Epoch: [86][8410/10010] Time 0.320 (0.327) Data 0.001 (0.001) Loss 1.2495 (1.3455) Prec@1 70.312 (68.697) Prec@5 88.281 (87.058) Epoch: [86][8420/10010] Time 0.325 (0.327) Data 0.001 (0.001) Loss 1.3775 (1.3454) Prec@1 65.625 (68.699) Prec@5 83.594 (87.059) Epoch: [86][8430/10010] Time 0.323 (0.327) Data 0.001 (0.001) Loss 1.1665 (1.3453) Prec@1 75.000 (68.702) Prec@5 89.062 (87.061) Epoch: [86][8440/10010] Time 0.330 (0.327) Data 0.001 (0.001) Loss 1.1176 (1.3452) Prec@1 75.000 (68.704) Prec@5 89.844 (87.063) Epoch: [86][8450/10010] Time 0.339 (0.327) Data 0.000 (0.001) Loss 1.2115 (1.3453) Prec@1 70.312 (68.702) Prec@5 90.625 (87.062) Epoch: [86][8460/10010] Time 0.338 (0.327) Data 0.001 (0.001) Loss 1.4478 (1.3453) Prec@1 63.281 (68.701) Prec@5 89.062 (87.062) Epoch: [86][8470/10010] Time 0.319 (0.327) Data 0.001 (0.001) Loss 1.0915 (1.3452) Prec@1 75.781 (68.702) Prec@5 90.625 (87.062) Epoch: [86][8480/10010] Time 0.326 (0.327) Data 0.001 (0.001) Loss 1.3851 (1.3451) Prec@1 66.406 (68.706) Prec@5 85.156 (87.063) Epoch: [86][8490/10010] Time 0.340 (0.327) Data 0.001 (0.001) Loss 1.2290 (1.3452) Prec@1 72.656 (68.706) Prec@5 85.938 (87.062) Epoch: [86][8500/10010] Time 0.340 (0.327) Data 0.001 (0.001) Loss 1.6067 (1.3452) Prec@1 63.281 (68.704) Prec@5 81.250 (87.061) Epoch: [86][8510/10010] Time 0.336 (0.327) Data 0.001 (0.001) Loss 1.3627 (1.3451) Prec@1 68.750 (68.706) Prec@5 85.156 (87.062) Epoch: [86][8520/10010] Time 0.316 (0.327) Data 0.001 (0.001) Loss 1.3535 (1.3450) Prec@1 67.188 (68.708) Prec@5 86.719 (87.063) Epoch: [86][8530/10010] Time 0.333 (0.327) Data 0.001 (0.001) Loss 1.3345 (1.3449) Prec@1 64.844 (68.708) Prec@5 89.844 (87.065) Epoch: [86][8540/10010] Time 0.334 (0.327) Data 0.000 (0.001) Loss 1.6182 (1.3450) Prec@1 60.938 (68.705) Prec@5 84.375 (87.064) Epoch: [86][8550/10010] Time 0.336 (0.327) Data 0.001 (0.001) Loss 1.4194 (1.3451) Prec@1 67.188 (68.704) Prec@5 85.156 (87.063) Epoch: [86][8560/10010] Time 0.320 (0.327) Data 0.000 (0.001) Loss 1.1891 (1.3450) Prec@1 72.656 (68.708) Prec@5 87.500 (87.063) Epoch: [86][8570/10010] Time 0.339 (0.327) Data 0.001 (0.001) Loss 1.3729 (1.3450) Prec@1 64.062 (68.708) Prec@5 87.500 (87.063) Epoch: [86][8580/10010] Time 0.319 (0.327) Data 0.001 (0.001) Loss 1.1829 (1.3451) Prec@1 70.312 (68.709) Prec@5 90.625 (87.062) Epoch: [86][8590/10010] Time 0.338 (0.327) Data 0.001 (0.001) Loss 1.1499 (1.3451) Prec@1 75.000 (68.710) Prec@5 89.062 (87.061) Epoch: [86][8600/10010] Time 0.335 (0.327) Data 0.000 (0.001) Loss 1.2981 (1.3452) Prec@1 66.406 (68.707) Prec@5 89.062 (87.058) Epoch: [86][8610/10010] Time 0.322 (0.327) Data 0.001 (0.001) Loss 1.4554 (1.3452) Prec@1 66.406 (68.707) Prec@5 86.719 (87.058) Epoch: [86][8620/10010] Time 0.323 (0.327) Data 0.000 (0.001) Loss 1.3089 (1.3453) Prec@1 67.969 (68.704) Prec@5 86.719 (87.056) Epoch: [86][8630/10010] Time 0.333 (0.327) Data 0.001 (0.001) Loss 1.0939 (1.3454) Prec@1 77.344 (68.703) Prec@5 90.625 (87.054) Epoch: [86][8640/10010] Time 0.343 (0.327) Data 0.001 (0.001) Loss 1.4660 (1.3455) Prec@1 66.406 (68.701) Prec@5 85.156 (87.053) Epoch: [86][8650/10010] Time 0.318 (0.327) Data 0.000 (0.001) Loss 1.6167 (1.3456) Prec@1 64.844 (68.699) Prec@5 86.719 (87.052) Epoch: [86][8660/10010] Time 0.335 (0.327) Data 0.000 (0.001) Loss 1.4206 (1.3456) Prec@1 63.281 (68.697) Prec@5 88.281 (87.051) Epoch: [86][8670/10010] Time 0.331 (0.327) Data 0.001 (0.001) Loss 1.5731 (1.3457) Prec@1 59.375 (68.694) Prec@5 86.719 (87.050) Epoch: [86][8680/10010] Time 0.341 (0.327) Data 0.000 (0.001) Loss 1.4940 (1.3457) Prec@1 68.750 (68.694) Prec@5 83.594 (87.049) Epoch: [86][8690/10010] Time 0.324 (0.327) Data 0.001 (0.001) Loss 1.0940 (1.3457) Prec@1 72.656 (68.694) Prec@5 90.625 (87.049) Epoch: [86][8700/10010] Time 0.342 (0.327) Data 0.000 (0.001) Loss 1.3655 (1.3458) Prec@1 66.406 (68.691) Prec@5 88.281 (87.047) Epoch: [86][8710/10010] Time 0.327 (0.327) Data 0.001 (0.001) Loss 1.4448 (1.3458) Prec@1 63.281 (68.691) Prec@5 85.938 (87.048) Epoch: [86][8720/10010] Time 0.325 (0.327) Data 0.000 (0.001) Loss 1.0814 (1.3458) Prec@1 71.094 (68.691) Prec@5 91.406 (87.047) Epoch: [86][8730/10010] Time 0.322 (0.327) Data 0.001 (0.001) Loss 1.3985 (1.3458) Prec@1 69.531 (68.691) Prec@5 86.719 (87.046) Epoch: [86][8740/10010] Time 0.316 (0.327) Data 0.001 (0.001) Loss 1.4738 (1.3458) Prec@1 65.625 (68.690) Prec@5 85.938 (87.046) Epoch: [86][8750/10010] Time 0.322 (0.327) Data 0.001 (0.001) Loss 1.4567 (1.3459) Prec@1 69.531 (68.691) Prec@5 82.031 (87.046) Epoch: [86][8760/10010] Time 0.317 (0.327) Data 0.001 (0.001) Loss 1.4749 (1.3457) Prec@1 68.750 (68.693) Prec@5 82.031 (87.047) Epoch: [86][8770/10010] Time 0.317 (0.327) Data 0.001 (0.001) Loss 1.2987 (1.3458) Prec@1 70.312 (68.692) Prec@5 89.062 (87.047) Epoch: [86][8780/10010] Time 0.335 (0.327) Data 0.001 (0.001) Loss 1.3127 (1.3458) Prec@1 67.188 (68.692) Prec@5 89.844 (87.048) Epoch: [86][8790/10010] Time 0.316 (0.327) Data 0.001 (0.001) Loss 1.5759 (1.3459) Prec@1 67.188 (68.692) Prec@5 84.375 (87.047) Epoch: [86][8800/10010] Time 0.318 (0.327) Data 0.001 (0.001) Loss 1.4675 (1.3460) Prec@1 69.531 (68.689) Prec@5 86.719 (87.047) Epoch: [86][8810/10010] Time 0.331 (0.327) Data 0.001 (0.001) Loss 0.9748 (1.3460) Prec@1 74.219 (68.687) Prec@5 92.969 (87.046) Epoch: [86][8820/10010] Time 0.334 (0.327) Data 0.000 (0.001) Loss 1.5132 (1.3461) Prec@1 61.719 (68.684) Prec@5 86.719 (87.045) Epoch: [86][8830/10010] Time 0.337 (0.327) Data 0.001 (0.001) Loss 1.4022 (1.3463) Prec@1 67.188 (68.682) Prec@5 85.938 (87.041) Epoch: [86][8840/10010] Time 0.328 (0.327) Data 0.000 (0.001) Loss 1.3538 (1.3462) Prec@1 69.531 (68.683) Prec@5 88.281 (87.042) /data/vision/torralba/deepscene/lib/anaconda2/lib/python2.7/site-packages/PIL/TiffImagePlugin.py:692: UserWarning: Possibly corrupt EXIF data. Expecting to read 1835008 bytes but only got 0. Skipping tag 0 "Skipping tag %s" % (size, len(data), tag)) Epoch: [86][8850/10010] Time 0.340 (0.327) Data 0.001 (0.001) Loss 1.2607 (1.3462) Prec@1 70.312 (68.681) Prec@5 88.281 (87.041) Epoch: [86][8860/10010] Time 0.319 (0.327) Data 0.001 (0.001) Loss 1.0840 (1.3461) Prec@1 78.906 (68.683) Prec@5 90.625 (87.043) Epoch: [86][8870/10010] Time 0.336 (0.327) Data 0.001 (0.001) Loss 1.1270 (1.3462) Prec@1 71.094 (68.683) Prec@5 90.625 (87.043) Epoch: [86][8880/10010] Time 0.330 (0.327) Data 0.000 (0.001) Loss 1.4084 (1.3463) Prec@1 67.188 (68.681) Prec@5 85.156 (87.041) Epoch: [86][8890/10010] Time 0.340 (0.327) Data 0.001 (0.001) Loss 1.4087 (1.3463) Prec@1 70.312 (68.681) Prec@5 86.719 (87.040) Epoch: [86][8900/10010] Time 0.337 (0.327) Data 0.001 (0.001) Loss 1.3790 (1.3462) Prec@1 70.312 (68.682) Prec@5 84.375 (87.041) Epoch: [86][8910/10010] Time 0.336 (0.327) Data 0.001 (0.001) Loss 1.1547 (1.3462) Prec@1 68.750 (68.684) Prec@5 92.188 (87.042) Epoch: [86][8920/10010] Time 0.325 (0.327) Data 0.000 (0.001) Loss 0.9218 (1.3461) Prec@1 75.781 (68.684) Prec@5 92.969 (87.042) Epoch: [86][8930/10010] Time 0.340 (0.327) Data 0.001 (0.001) Loss 1.2755 (1.3462) Prec@1 71.094 (68.681) Prec@5 88.281 (87.041) Epoch: [86][8940/10010] Time 0.320 (0.327) Data 0.001 (0.001) Loss 1.4702 (1.3463) Prec@1 65.625 (68.679) Prec@5 85.938 (87.040) Epoch: [86][8950/10010] Time 0.325 (0.327) Data 0.001 (0.001) Loss 1.6677 (1.3463) Prec@1 61.719 (68.677) Prec@5 82.031 (87.039) Epoch: [86][8960/10010] Time 0.321 (0.327) Data 0.001 (0.001) Loss 1.2868 (1.3463) Prec@1 67.188 (68.677) Prec@5 89.844 (87.040) Epoch: [86][8970/10010] Time 0.323 (0.327) Data 0.001 (0.001) Loss 1.3641 (1.3465) Prec@1 71.094 (68.675) Prec@5 86.719 (87.038) Epoch: [86][8980/10010] Time 0.333 (0.327) Data 0.001 (0.001) Loss 1.7237 (1.3466) Prec@1 64.844 (68.674) Prec@5 78.125 (87.035) Epoch: [86][8990/10010] Time 0.328 (0.327) Data 0.000 (0.001) Loss 1.2057 (1.3466) Prec@1 72.656 (68.675) Prec@5 92.188 (87.036) Epoch: [86][9000/10010] Time 0.324 (0.327) Data 0.001 (0.001) Loss 1.0232 (1.3464) Prec@1 75.781 (68.679) Prec@5 91.406 (87.038) Epoch: [86][9010/10010] Time 0.330 (0.327) Data 0.000 (0.001) Loss 1.2331 (1.3465) Prec@1 72.656 (68.677) Prec@5 88.281 (87.038) Epoch: [86][9020/10010] Time 0.330 (0.327) Data 0.001 (0.001) Loss 1.3574 (1.3466) Prec@1 71.094 (68.677) Prec@5 87.500 (87.038) Epoch: [86][9030/10010] Time 0.336 (0.327) Data 0.001 (0.001) Loss 1.3215 (1.3466) Prec@1 69.531 (68.677) Prec@5 85.938 (87.038) Epoch: [86][9040/10010] Time 0.317 (0.327) Data 0.001 (0.001) Loss 1.3319 (1.3466) Prec@1 67.969 (68.676) Prec@5 89.844 (87.038) Epoch: [86][9050/10010] Time 0.334 (0.327) Data 0.001 (0.001) Loss 1.5015 (1.3466) Prec@1 64.062 (68.674) Prec@5 85.156 (87.038) Epoch: [86][9060/10010] Time 0.321 (0.327) Data 0.001 (0.001) Loss 1.3965 (1.3466) Prec@1 70.312 (68.674) Prec@5 83.594 (87.039) Epoch: [86][9070/10010] Time 0.315 (0.327) Data 0.000 (0.001) Loss 1.2929 (1.3466) Prec@1 66.406 (68.674) Prec@5 89.062 (87.039) Epoch: [86][9080/10010] Time 0.323 (0.327) Data 0.001 (0.001) Loss 1.4402 (1.3466) Prec@1 64.844 (68.673) Prec@5 83.594 (87.038) Epoch: [86][9090/10010] Time 0.336 (0.327) Data 0.001 (0.001) Loss 1.1772 (1.3467) Prec@1 71.875 (68.673) Prec@5 87.500 (87.037) Epoch: [86][9100/10010] Time 0.328 (0.327) Data 0.001 (0.001) Loss 1.2645 (1.3467) Prec@1 71.875 (68.673) Prec@5 88.281 (87.036) Epoch: [86][9110/10010] Time 0.328 (0.327) Data 0.001 (0.001) Loss 1.3560 (1.3468) Prec@1 67.188 (68.671) Prec@5 85.156 (87.034) Epoch: [86][9120/10010] Time 0.333 (0.327) Data 0.001 (0.001) Loss 1.1782 (1.3467) Prec@1 71.875 (68.673) Prec@5 91.406 (87.035) Epoch: [86][9130/10010] Time 0.332 (0.327) Data 0.000 (0.001) Loss 1.0513 (1.3466) Prec@1 69.531 (68.673) Prec@5 92.969 (87.036) Epoch: [86][9140/10010] Time 0.338 (0.327) Data 0.001 (0.001) Loss 1.4867 (1.3467) Prec@1 63.281 (68.671) Prec@5 78.906 (87.035) Epoch: [86][9150/10010] Time 0.321 (0.327) Data 0.000 (0.001) Loss 1.6650 (1.3467) Prec@1 58.594 (68.669) Prec@5 83.594 (87.034) Epoch: [86][9160/10010] Time 0.321 (0.327) Data 0.001 (0.001) Loss 1.2876 (1.3468) Prec@1 69.531 (68.669) Prec@5 87.500 (87.033) Epoch: [86][9170/10010] Time 0.324 (0.327) Data 0.001 (0.001) Loss 1.2005 (1.3468) Prec@1 71.875 (68.670) Prec@5 89.844 (87.035) Epoch: [86][9180/10010] Time 0.333 (0.327) Data 0.001 (0.001) Loss 1.7546 (1.3469) Prec@1 61.719 (68.668) Prec@5 85.156 (87.034) Epoch: [86][9190/10010] Time 0.318 (0.327) Data 0.000 (0.001) Loss 1.3050 (1.3468) Prec@1 71.094 (68.671) Prec@5 87.500 (87.035) Epoch: [86][9200/10010] Time 0.322 (0.327) Data 0.001 (0.001) Loss 1.4061 (1.3468) Prec@1 67.969 (68.670) Prec@5 85.156 (87.034) Epoch: [86][9210/10010] Time 0.334 (0.327) Data 0.001 (0.001) Loss 1.5404 (1.3469) Prec@1 64.844 (68.668) Prec@5 85.156 (87.033) Epoch: [86][9220/10010] Time 0.320 (0.327) Data 0.001 (0.001) Loss 1.2812 (1.3468) Prec@1 64.844 (68.670) Prec@5 89.844 (87.035) Epoch: [86][9230/10010] Time 0.322 (0.327) Data 0.001 (0.001) Loss 1.4190 (1.3468) Prec@1 69.531 (68.672) Prec@5 84.375 (87.036) Epoch: [86][9240/10010] Time 0.319 (0.327) Data 0.001 (0.001) Loss 1.5054 (1.3468) Prec@1 61.719 (68.671) Prec@5 86.719 (87.036) Epoch: [86][9250/10010] Time 0.318 (0.327) Data 0.001 (0.001) Loss 1.6111 (1.3468) Prec@1 65.625 (68.670) Prec@5 82.031 (87.035) Epoch: [86][9260/10010] Time 0.340 (0.327) Data 0.000 (0.001) Loss 1.3169 (1.3469) Prec@1 72.656 (68.669) Prec@5 85.938 (87.034) Epoch: [86][9270/10010] Time 0.315 (0.327) Data 0.001 (0.001) Loss 1.6097 (1.3470) Prec@1 62.500 (68.669) Prec@5 82.812 (87.033) /data/vision/torralba/deepscene/lib/anaconda2/lib/python2.7/site-packages/PIL/TiffImagePlugin.py:692: UserWarning: Possibly corrupt EXIF data. Expecting to read 2555904 bytes but only got 0. Skipping tag 0 "Skipping tag %s" % (size, len(data), tag)) Epoch: [86][9280/10010] Time 0.332 (0.327) Data 0.001 (0.001) Loss 1.3616 (1.3470) Prec@1 70.312 (68.669) Prec@5 85.156 (87.034) Epoch: [86][9290/10010] Time 0.333 (0.327) Data 0.001 (0.001) Loss 1.4230 (1.3469) Prec@1 66.406 (68.670) Prec@5 83.594 (87.035) Epoch: [86][9300/10010] Time 0.326 (0.327) Data 0.001 (0.001) Loss 1.1571 (1.3469) Prec@1 74.219 (68.670) Prec@5 90.625 (87.036) Epoch: [86][9310/10010] Time 0.323 (0.327) Data 0.000 (0.001) Loss 1.1020 (1.3470) Prec@1 75.781 (68.669) Prec@5 90.625 (87.034) Epoch: [86][9320/10010] Time 0.326 (0.327) Data 0.001 (0.001) Loss 1.4172 (1.3470) Prec@1 71.875 (68.669) Prec@5 84.375 (87.033) Epoch: [86][9330/10010] Time 0.331 (0.327) Data 0.001 (0.001) Loss 1.1287 (1.3470) Prec@1 71.875 (68.668) Prec@5 91.406 (87.033) Epoch: [86][9340/10010] Time 0.330 (0.327) Data 0.001 (0.001) Loss 1.5271 (1.3470) Prec@1 66.406 (68.669) Prec@5 84.375 (87.033) Epoch: [86][9350/10010] Time 0.318 (0.327) Data 0.000 (0.001) Loss 1.2746 (1.3470) Prec@1 61.719 (68.667) Prec@5 86.719 (87.031) Epoch: [86][9360/10010] Time 0.328 (0.327) Data 0.001 (0.001) Loss 1.0534 (1.3470) Prec@1 78.125 (68.668) Prec@5 92.188 (87.033) Epoch: [86][9370/10010] Time 0.313 (0.327) Data 0.001 (0.001) Loss 1.2026 (1.3469) Prec@1 78.125 (68.671) Prec@5 89.062 (87.035) Epoch: [86][9380/10010] Time 0.339 (0.327) Data 0.001 (0.001) Loss 1.2824 (1.3469) Prec@1 68.750 (68.673) Prec@5 87.500 (87.035) Epoch: [86][9390/10010] Time 0.316 (0.327) Data 0.001 (0.001) Loss 1.3835 (1.3468) Prec@1 65.625 (68.673) Prec@5 85.938 (87.036) Epoch: [86][9400/10010] Time 0.342 (0.327) Data 0.001 (0.001) Loss 1.5885 (1.3468) Prec@1 63.281 (68.673) Prec@5 85.156 (87.037) Epoch: [86][9410/10010] Time 0.334 (0.327) Data 0.001 (0.001) Loss 1.2980 (1.3468) Prec@1 75.000 (68.674) Prec@5 89.062 (87.037) Epoch: [86][9420/10010] Time 0.333 (0.327) Data 0.000 (0.001) Loss 1.3259 (1.3469) Prec@1 72.656 (68.672) Prec@5 89.062 (87.035) Epoch: [86][9430/10010] Time 0.319 (0.327) Data 0.001 (0.001) Loss 1.5022 (1.3470) Prec@1 65.625 (68.671) Prec@5 86.719 (87.034) Epoch: [86][9440/10010] Time 0.336 (0.327) Data 0.000 (0.001) Loss 1.3675 (1.3470) Prec@1 66.406 (68.670) Prec@5 85.938 (87.033) Epoch: [86][9450/10010] Time 0.328 (0.327) Data 0.001 (0.001) Loss 1.2234 (1.3470) Prec@1 70.312 (68.671) Prec@5 89.062 (87.034) Epoch: [86][9460/10010] Time 0.341 (0.327) Data 0.001 (0.001) Loss 1.2980 (1.3470) Prec@1 71.094 (68.672) Prec@5 88.281 (87.035) Epoch: [86][9470/10010] Time 0.321 (0.327) Data 0.000 (0.001) Loss 1.3534 (1.3469) Prec@1 70.312 (68.673) Prec@5 87.500 (87.035) Epoch: [86][9480/10010] Time 0.330 (0.327) Data 0.001 (0.001) Loss 1.4044 (1.3469) Prec@1 64.062 (68.673) Prec@5 86.719 (87.036) Epoch: [86][9490/10010] Time 0.325 (0.327) Data 0.001 (0.001) Loss 1.2605 (1.3469) Prec@1 70.312 (68.673) Prec@5 90.625 (87.036) Epoch: [86][9500/10010] Time 0.318 (0.327) Data 0.001 (0.001) Loss 1.3278 (1.3469) Prec@1 68.750 (68.673) Prec@5 87.500 (87.036) Epoch: [86][9510/10010] Time 0.322 (0.327) Data 0.001 (0.001) Loss 1.2748 (1.3469) Prec@1 73.438 (68.672) Prec@5 85.156 (87.034) Epoch: [86][9520/10010] Time 0.338 (0.327) Data 0.001 (0.001) Loss 1.2191 (1.3468) Prec@1 70.312 (68.676) Prec@5 89.844 (87.036) Epoch: [86][9530/10010] Time 0.336 (0.327) Data 0.001 (0.001) Loss 1.2109 (1.3468) Prec@1 64.062 (68.677) Prec@5 89.844 (87.038) Epoch: [86][9540/10010] Time 0.331 (0.327) Data 0.001 (0.001) Loss 1.5325 (1.3468) Prec@1 60.938 (68.675) Prec@5 84.375 (87.039) Epoch: [86][9550/10010] Time 0.339 (0.327) Data 0.001 (0.001) Loss 1.6401 (1.3468) Prec@1 63.281 (68.676) Prec@5 85.156 (87.040) Epoch: [86][9560/10010] Time 0.339 (0.327) Data 0.001 (0.001) Loss 1.4021 (1.3468) Prec@1 67.969 (68.675) Prec@5 85.938 (87.040) Epoch: [86][9570/10010] Time 0.336 (0.327) Data 0.001 (0.001) Loss 1.1573 (1.3468) Prec@1 69.531 (68.673) Prec@5 88.281 (87.039) Epoch: [86][9580/10010] Time 0.319 (0.327) Data 0.000 (0.001) Loss 1.2588 (1.3468) Prec@1 71.875 (68.674) Prec@5 88.281 (87.040) Epoch: [86][9590/10010] Time 0.319 (0.327) Data 0.001 (0.001) Loss 1.4370 (1.3469) Prec@1 66.406 (68.672) Prec@5 87.500 (87.039) Epoch: [86][9600/10010] Time 0.333 (0.327) Data 0.001 (0.001) Loss 1.5246 (1.3469) Prec@1 64.062 (68.674) Prec@5 85.156 (87.039) Epoch: [86][9610/10010] Time 0.338 (0.327) Data 0.001 (0.001) Loss 1.5011 (1.3468) Prec@1 63.281 (68.673) Prec@5 87.500 (87.040) Epoch: [86][9620/10010] Time 0.317 (0.327) Data 0.001 (0.001) Loss 1.2996 (1.3468) Prec@1 70.312 (68.675) Prec@5 89.062 (87.041) Epoch: [86][9630/10010] Time 0.339 (0.327) Data 0.001 (0.001) Loss 1.4076 (1.3468) Prec@1 67.969 (68.674) Prec@5 86.719 (87.040) Epoch: [86][9640/10010] Time 0.326 (0.327) Data 0.001 (0.001) Loss 1.1828 (1.3468) Prec@1 73.438 (68.674) Prec@5 85.938 (87.040) Epoch: [86][9650/10010] Time 0.336 (0.327) Data 0.001 (0.001) Loss 1.4121 (1.3469) Prec@1 72.656 (68.674) Prec@5 86.719 (87.039) Epoch: [86][9660/10010] Time 0.338 (0.327) Data 0.000 (0.001) Loss 1.5294 (1.3469) Prec@1 64.062 (68.674) Prec@5 84.375 (87.038) Epoch: [86][9670/10010] Time 0.341 (0.327) Data 0.001 (0.001) Loss 1.2292 (1.3470) Prec@1 70.312 (68.674) Prec@5 90.625 (87.039) Epoch: [86][9680/10010] Time 0.339 (0.327) Data 0.001 (0.001) Loss 1.2892 (1.3470) Prec@1 71.875 (68.673) Prec@5 89.062 (87.037) Epoch: [86][9690/10010] Time 0.321 (0.327) Data 0.000 (0.001) Loss 1.6526 (1.3470) Prec@1 60.156 (68.673) Prec@5 83.594 (87.038) Epoch: [86][9700/10010] Time 0.328 (0.327) Data 0.001 (0.001) Loss 1.5729 (1.3471) Prec@1 64.844 (68.672) Prec@5 82.812 (87.036) Epoch: [86][9710/10010] Time 0.345 (0.327) Data 0.000 (0.001) Loss 1.3667 (1.3471) Prec@1 67.188 (68.672) Prec@5 87.500 (87.036) Epoch: [86][9720/10010] Time 0.341 (0.327) Data 0.001 (0.001) Loss 1.3317 (1.3471) Prec@1 64.844 (68.670) Prec@5 87.500 (87.034) Epoch: [86][9730/10010] Time 0.331 (0.327) Data 0.001 (0.001) Loss 1.2688 (1.3471) Prec@1 74.219 (68.673) Prec@5 87.500 (87.035) Epoch: [86][9740/10010] Time 0.319 (0.327) Data 0.000 (0.001) Loss 1.5656 (1.3472) Prec@1 63.281 (68.670) Prec@5 81.250 (87.034) Epoch: [86][9750/10010] Time 0.320 (0.327) Data 0.001 (0.001) Loss 1.5833 (1.3472) Prec@1 62.500 (68.668) Prec@5 85.156 (87.034) Epoch: [86][9760/10010] Time 0.330 (0.327) Data 0.001 (0.001) Loss 1.5259 (1.3472) Prec@1 65.625 (68.668) Prec@5 88.281 (87.035) Epoch: [86][9770/10010] Time 0.332 (0.327) Data 0.001 (0.001) Loss 1.1906 (1.3472) Prec@1 73.438 (68.669) Prec@5 87.500 (87.035) Epoch: [86][9780/10010] Time 0.312 (0.327) Data 0.001 (0.001) Loss 1.4069 (1.3472) Prec@1 67.188 (68.669) Prec@5 85.938 (87.036) Epoch: [86][9790/10010] Time 0.336 (0.327) Data 0.001 (0.001) Loss 1.6677 (1.3472) Prec@1 61.719 (68.670) Prec@5 83.594 (87.036) Epoch: [86][9800/10010] Time 0.343 (0.327) Data 0.001 (0.001) Loss 1.6117 (1.3472) Prec@1 67.188 (68.669) Prec@5 79.688 (87.035) Epoch: [86][9810/10010] Time 0.335 (0.327) Data 0.001 (0.001) Loss 1.5418 (1.3472) Prec@1 63.281 (68.668) Prec@5 86.719 (87.035) Epoch: [86][9820/10010] Time 0.333 (0.327) Data 0.001 (0.001) Loss 1.3969 (1.3473) Prec@1 64.062 (68.666) Prec@5 87.500 (87.034) Epoch: [86][9830/10010] Time 0.331 (0.327) Data 0.000 (0.001) Loss 1.5009 (1.3473) Prec@1 65.625 (68.666) Prec@5 85.938 (87.033) Epoch: [86][9840/10010] Time 0.336 (0.327) Data 0.000 (0.001) Loss 1.3156 (1.3475) Prec@1 68.750 (68.663) Prec@5 88.281 (87.033) Epoch: [86][9850/10010] Time 0.333 (0.327) Data 0.001 (0.001) Loss 1.3940 (1.3475) Prec@1 64.844 (68.662) Prec@5 86.719 (87.033) Epoch: [86][9860/10010] Time 0.341 (0.327) Data 0.000 (0.001) Loss 1.1990 (1.3474) Prec@1 71.875 (68.664) Prec@5 89.844 (87.034) Epoch: [86][9870/10010] Time 0.320 (0.327) Data 0.000 (0.001) Loss 1.5078 (1.3474) Prec@1 64.062 (68.664) Prec@5 86.719 (87.034) Epoch: [86][9880/10010] Time 0.319 (0.327) Data 0.001 (0.001) Loss 1.4421 (1.3474) Prec@1 67.969 (68.666) Prec@5 82.812 (87.033) Epoch: [86][9890/10010] Time 0.339 (0.327) Data 0.001 (0.001) Loss 1.3662 (1.3474) Prec@1 68.750 (68.666) Prec@5 85.156 (87.033) Epoch: [86][9900/10010] Time 0.312 (0.327) Data 0.000 (0.001) Loss 1.2787 (1.3474) Prec@1 70.312 (68.666) Prec@5 89.062 (87.034) Epoch: [86][9910/10010] Time 0.345 (0.327) Data 0.001 (0.001) Loss 0.9639 (1.3475) Prec@1 78.906 (68.666) Prec@5 91.406 (87.033) Epoch: [86][9920/10010] Time 0.323 (0.327) Data 0.000 (0.001) Loss 1.4738 (1.3475) Prec@1 64.062 (68.665) Prec@5 84.375 (87.033) Epoch: [86][9930/10010] Time 0.331 (0.327) Data 0.001 (0.001) Loss 1.2165 (1.3474) Prec@1 70.312 (68.666) Prec@5 89.844 (87.033) Epoch: [86][9940/10010] Time 0.335 (0.327) Data 0.001 (0.001) Loss 1.4871 (1.3474) Prec@1 62.500 (68.666) Prec@5 86.719 (87.033) Epoch: [86][9950/10010] Time 0.333 (0.327) Data 0.001 (0.001) Loss 1.2343 (1.3474) Prec@1 75.000 (68.666) Prec@5 90.625 (87.034) Epoch: [86][9960/10010] Time 0.336 (0.327) Data 0.001 (0.001) Loss 1.3157 (1.3474) Prec@1 68.750 (68.666) Prec@5 89.844 (87.034) Epoch: [86][9970/10010] Time 0.321 (0.327) Data 0.003 (0.001) Loss 1.4280 (1.3474) Prec@1 67.188 (68.668) Prec@5 87.500 (87.034) Epoch: [86][9980/10010] Time 0.313 (0.327) Data 0.001 (0.001) Loss 1.3547 (1.3474) Prec@1 69.531 (68.667) Prec@5 87.500 (87.034) Epoch: [86][9990/10010] Time 0.328 (0.327) Data 0.000 (0.001) Loss 1.3297 (1.3474) Prec@1 69.531 (68.665) Prec@5 86.719 (87.034) Epoch: [86][10000/10010] Time 0.331 (0.327) Data 0.000 (0.001) Loss 1.4315 (1.3474) Prec@1 67.188 (68.663) Prec@5 83.594 (87.034) Test: [0/391] Time 1.523 (1.523) Loss 0.6383 (0.6383) Prec@1 85.938 (85.938) Prec@5 96.094 (96.094) Test: [10/391] Time 0.105 (0.235) Loss 1.2738 (0.6114) Prec@1 71.875 (84.730) Prec@5 89.844 (96.165) Test: [20/391] Time 0.107 (0.174) Loss 0.8684 (0.8809) Prec@1 76.562 (77.604) Prec@5 93.750 (93.304) Test: [30/391] Time 0.114 (0.156) Loss 1.5680 (1.0051) Prec@1 68.750 (74.042) Prec@5 87.500 (92.339) Test: [40/391] Time 0.106 (0.144) Loss 0.8819 (0.9110) Prec@1 79.688 (76.486) Prec@5 92.188 (93.045) Test: [50/391] Time 0.108 (0.137) Loss 0.5190 (0.9270) Prec@1 85.938 (76.517) Prec@5 96.094 (92.877) Test: [60/391] Time 0.105 (0.132) Loss 1.0356 (0.8776) Prec@1 75.000 (77.830) Prec@5 92.188 (93.327) Test: [70/391] Time 0.108 (0.128) Loss 1.1619 (0.9064) Prec@1 66.406 (76.772) Prec@5 93.750 (93.354) Test: [80/391] Time 0.099 (0.126) Loss 1.0357 (0.9234) Prec@1 71.094 (76.061) Prec@5 90.625 (93.364) Test: [90/391] Time 0.105 (0.124) Loss 1.1295 (0.9292) Prec@1 61.719 (75.876) Prec@5 93.750 (93.346) Test: [100/391] Time 0.107 (0.122) Loss 0.6749 (0.9203) Prec@1 83.594 (75.874) Prec@5 97.656 (93.595) Test: [110/391] Time 0.108 (0.121) Loss 1.3391 (0.9239) Prec@1 56.250 (75.626) Prec@5 92.969 (93.680) Test: [120/391] Time 0.101 (0.120) Loss 0.7015 (0.9197) Prec@1 80.469 (75.865) Prec@5 97.656 (93.763) Test: [130/391] Time 0.099 (0.119) Loss 0.5016 (0.9131) Prec@1 87.500 (76.193) Prec@5 97.656 (93.822) Test: [140/391] Time 0.111 (0.118) Loss 1.3107 (0.9164) Prec@1 64.844 (76.014) Prec@5 90.625 (93.828) Test: [150/391] Time 0.101 (0.117) Loss 0.9924 (0.9241) Prec@1 71.094 (75.947) Prec@5 92.969 (93.636) Test: [160/391] Time 0.108 (0.116) Loss 0.9818 (0.9291) Prec@1 74.219 (75.864) Prec@5 92.969 (93.570) Test: [170/391] Time 0.108 (0.116) Loss 1.5949 (0.9575) Prec@1 60.156 (75.228) Prec@5 89.062 (93.252) Test: [180/391] Time 0.108 (0.115) Loss 1.8047 (0.9881) Prec@1 58.594 (74.555) Prec@5 87.500 (92.921) Test: [190/391] Time 0.106 (0.115) Loss 2.0803 (1.0214) Prec@1 56.250 (73.916) Prec@5 82.812 (92.474) Test: [200/391] Time 0.117 (0.115) Loss 1.1016 (1.0507) Prec@1 68.750 (73.406) Prec@5 92.969 (92.079) Test: [210/391] Time 0.116 (0.114) Loss 1.4733 (1.0700) Prec@1 66.406 (73.004) Prec@5 87.500 (91.865) Test: [220/391] Time 0.099 (0.114) Loss 0.6225 (1.0807) Prec@1 82.031 (72.815) Prec@5 96.875 (91.636) Test: [230/391] Time 0.102 (0.114) Loss 2.1182 (1.0965) Prec@1 47.656 (72.511) Prec@5 82.031 (91.443) Test: [240/391] Time 0.104 (0.113) Loss 1.4387 (1.1040) Prec@1 73.438 (72.436) Prec@5 85.156 (91.293) Test: [250/391] Time 0.106 (0.113) Loss 0.7424 (1.1285) Prec@1 82.812 (71.863) Prec@5 92.188 (90.967) Test: [260/391] Time 0.106 (0.113) Loss 1.3399 (1.1445) Prec@1 66.406 (71.510) Prec@5 88.281 (90.775) Test: [270/391] Time 0.105 (0.112) Loss 2.0023 (1.1551) Prec@1 54.688 (71.304) Prec@5 83.594 (90.637) Test: [280/391] Time 0.107 (0.112) Loss 1.2497 (1.1613) Prec@1 66.406 (71.255) Prec@5 92.969 (90.544) Test: [290/391] Time 0.111 (0.112) Loss 1.6937 (1.1740) Prec@1 52.344 (71.035) Prec@5 86.719 (90.330) Test: [300/391] Time 0.106 (0.112) Loss 1.1759 (1.1839) Prec@1 76.562 (70.842) Prec@5 89.062 (90.197) Test: [310/391] Time 0.099 (0.112) Loss 1.5511 (1.1939) Prec@1 65.625 (70.664) Prec@5 82.031 (90.025) Test: [320/391] Time 0.109 (0.112) Loss 0.8622 (1.2027) Prec@1 81.250 (70.510) Prec@5 92.188 (89.912) Test: [330/391] Time 0.110 (0.111) Loss 1.9704 (1.2205) Prec@1 57.031 (70.124) Prec@5 78.125 (89.653) Test: [340/391] Time 0.108 (0.111) Loss 1.1800 (1.2265) Prec@1 58.594 (69.944) Prec@5 95.312 (89.583) Test: [350/391] Time 0.108 (0.111) Loss 1.2031 (1.2300) Prec@1 69.531 (69.865) Prec@5 91.406 (89.528) Test: [360/391] Time 0.169 (0.111) Loss 1.4602 (1.2396) Prec@1 59.375 (69.678) Prec@5 89.062 (89.435) Test: [370/391] Time 0.101 (0.111) Loss 1.0777 (1.2333) Prec@1 68.750 (69.780) Prec@5 94.531 (89.511) Test: [380/391] Time 0.111 (0.111) Loss 1.0003 (1.2352) Prec@1 72.656 (69.728) Prec@5 92.969 (89.489) Test: [390/391] Time 0.073 (0.110) Loss 1.8767 (1.2287) Prec@1 42.500 (69.904) Prec@5 85.000 (89.562) * Prec@1 69.904 Prec@5 89.562 Epoch: [87][0/10010] Time 2.737 (2.737) Data 2.554 (2.554) Loss 1.6119 (1.6119) Prec@1 64.062 (64.062) Prec@5 80.469 (80.469) Epoch: [87][10/10010] Time 0.323 (0.535) Data 0.000 (0.233) Loss 0.9812 (1.3512) Prec@1 82.031 (70.028) Prec@5 92.969 (86.364) Epoch: [87][20/10010] Time 0.311 (0.431) Data 0.001 (0.122) Loss 1.4157 (1.3332) Prec@1 71.875 (69.978) Prec@5 86.719 (86.272) Epoch: [87][30/10010] Time 0.312 (0.394) Data 0.001 (0.083) Loss 1.3233 (1.3359) Prec@1 68.750 (69.657) Prec@5 85.938 (86.215) Epoch: [87][40/10010] Time 0.332 (0.378) Data 0.001 (0.063) Loss 1.3365 (1.3311) Prec@1 72.656 (69.226) Prec@5 85.938 (86.471) Epoch: [87][50/10010] Time 0.331 (0.369) Data 0.001 (0.051) Loss 1.2607 (1.3354) Prec@1 64.062 (68.704) Prec@5 89.062 (86.627) Epoch: [87][60/10010] Time 0.341 (0.362) Data 0.001 (0.042) Loss 1.0164 (1.3222) Prec@1 75.781 (68.865) Prec@5 89.844 (86.860) Epoch: [87][70/10010] Time 0.342 (0.359) Data 0.001 (0.037) Loss 1.2570 (1.3098) Prec@1 72.656 (69.058) Prec@5 89.062 (87.093) Epoch: [87][80/10010] Time 0.317 (0.355) Data 0.000 (0.032) Loss 1.2217 (1.3110) Prec@1 67.188 (68.962) Prec@5 91.406 (87.105) Epoch: [87][90/10010] Time 0.320 (0.352) Data 0.000 (0.029) Loss 1.3375 (1.3055) Prec@1 63.281 (68.999) Prec@5 86.719 (87.148) Epoch: [87][100/10010] Time 0.316 (0.350) Data 0.001 (0.026) Loss 1.3387 (1.2985) Prec@1 68.750 (69.152) Prec@5 85.156 (87.268) Epoch: [87][110/10010] Time 0.326 (0.348) Data 0.001 (0.024) Loss 1.3169 (1.3048) Prec@1 71.875 (69.200) Prec@5 85.156 (87.176) Epoch: [87][120/10010] Time 0.313 (0.346) Data 0.001 (0.022) Loss 1.3822 (1.3120) Prec@1 62.500 (69.015) Prec@5 84.375 (87.126) Epoch: [87][130/10010] Time 0.325 (0.344) Data 0.000 (0.020) Loss 1.2626 (1.3098) Prec@1 67.188 (68.995) Prec@5 89.844 (87.220) Epoch: [87][140/10010] Time 0.324 (0.343) Data 0.001 (0.019) Loss 1.2790 (1.3102) Prec@1 70.312 (69.010) Prec@5 85.156 (87.190) Epoch: [87][150/10010] Time 0.322 (0.342) Data 0.000 (0.018) Loss 1.2399 (1.3090) Prec@1 71.094 (69.091) Prec@5 89.844 (87.236) Epoch: [87][160/10010] Time 0.323 (0.341) Data 0.001 (0.016) Loss 1.0823 (1.3114) Prec@1 73.438 (69.080) Prec@5 89.844 (87.199) Epoch: [87][170/10010] Time 0.324 (0.340) Data 0.001 (0.016) Loss 1.5080 (1.3148) Prec@1 63.281 (68.988) Prec@5 85.156 (87.176) Epoch: [87][180/10010] Time 0.315 (0.339) Data 0.001 (0.015) Loss 1.5866 (1.3225) Prec@1 63.281 (68.767) Prec@5 83.594 (87.090) Epoch: [87][190/10010] Time 0.324 (0.339) Data 0.000 (0.014) Loss 1.2125 (1.3236) Prec@1 70.312 (68.775) Prec@5 87.500 (87.050) Epoch: [87][200/10010] Time 0.338 (0.338) Data 0.001 (0.013) Loss 1.4546 (1.3296) Prec@1 66.406 (68.703) Prec@5 86.719 (87.002) Epoch: [87][210/10010] Time 0.329 (0.338) Data 0.001 (0.013) Loss 1.3476 (1.3296) Prec@1 70.312 (68.739) Prec@5 85.938 (86.952) Epoch: [87][220/10010] Time 0.319 (0.337) Data 0.001 (0.012) Loss 1.5296 (1.3291) Prec@1 64.062 (68.757) Prec@5 85.156 (87.009) Epoch: [87][230/10010] Time 0.336 (0.337) Data 0.000 (0.012) Loss 1.2657 (1.3324) Prec@1 69.531 (68.730) Prec@5 89.844 (86.972) Epoch: [87][240/10010] Time 0.326 (0.336) Data 0.001 (0.011) Loss 1.3268 (1.3292) Prec@1 68.750 (68.786) Prec@5 86.719 (87.036) Epoch: [87][250/10010] Time 0.337 (0.336) Data 0.001 (0.011) Loss 1.2170 (1.3298) Prec@1 74.219 (68.750) Prec@5 87.500 (87.039) Epoch: [87][260/10010] Time 0.309 (0.336) Data 0.001 (0.010) Loss 1.5385 (1.3325) Prec@1 65.625 (68.690) Prec@5 82.812 (87.003) Epoch: [87][270/10010] Time 0.317 (0.335) Data 0.000 (0.010) Loss 1.4614 (1.3326) Prec@1 64.844 (68.715) Prec@5 83.594 (87.019) Epoch: [87][280/10010] Time 0.332 (0.335) Data 0.000 (0.010) Loss 1.3745 (1.3321) Prec@1 67.969 (68.703) Prec@5 88.281 (87.036) Epoch: [87][290/10010] Time 0.322 (0.334) Data 0.001 (0.009) Loss 1.4478 (1.3339) Prec@1 70.312 (68.653) Prec@5 85.156 (86.985) Epoch: [87][300/10010] Time 0.322 (0.334) Data 0.001 (0.009) Loss 1.1681 (1.3347) Prec@1 74.219 (68.612) Prec@5 85.938 (86.942) Epoch: [87][310/10010] Time 0.330 (0.334) Data 0.001 (0.009) Loss 1.2990 (1.3346) Prec@1 61.719 (68.592) Prec@5 87.500 (86.975) Epoch: [87][320/10010] Time 0.329 (0.334) Data 0.001 (0.009) Loss 1.3266 (1.3371) Prec@1 66.406 (68.560) Prec@5 89.844 (86.943) Epoch: [87][330/10010] Time 0.334 (0.334) Data 0.000 (0.008) Loss 1.5054 (1.3401) Prec@1 64.844 (68.542) Prec@5 86.719 (86.896) Epoch: [87][340/10010] Time 0.323 (0.334) Data 0.001 (0.008) Loss 1.6764 (1.3383) Prec@1 65.625 (68.596) Prec@5 79.688 (86.902) Epoch: [87][350/10010] Time 0.339 (0.334) Data 0.000 (0.008) Loss 1.3311 (1.3384) Prec@1 70.312 (68.636) Prec@5 86.719 (86.906) Epoch: [87][360/10010] Time 0.323 (0.333) Data 0.000 (0.008) Loss 1.5134 (1.3399) Prec@1 64.062 (68.614) Prec@5 83.594 (86.875) Epoch: [87][370/10010] Time 0.324 (0.333) Data 0.001 (0.008) Loss 1.2431 (1.3395) Prec@1 71.875 (68.586) Prec@5 85.938 (86.894) Epoch: [87][380/10010] Time 0.343 (0.333) Data 0.001 (0.007) Loss 1.3555 (1.3367) Prec@1 71.875 (68.664) Prec@5 84.375 (86.922) Epoch: [87][390/10010] Time 0.334 (0.333) Data 0.000 (0.007) Loss 1.7825 (1.3396) Prec@1 55.469 (68.620) Prec@5 82.031 (86.873) Epoch: [87][400/10010] Time 0.341 (0.333) Data 0.000 (0.007) Loss 1.3608 (1.3403) Prec@1 63.281 (68.610) Prec@5 90.625 (86.857) Epoch: [87][410/10010] Time 0.339 (0.333) Data 0.001 (0.007) Loss 1.4987 (1.3389) Prec@1 67.188 (68.640) Prec@5 87.500 (86.888) Epoch: [87][420/10010] Time 0.321 (0.333) Data 0.001 (0.007) Loss 1.4701 (1.3390) Prec@1 64.844 (68.624) Prec@5 88.281 (86.895) Epoch: [87][430/10010] Time 0.333 (0.333) Data 0.001 (0.007) Loss 1.2307 (1.3386) Prec@1 74.219 (68.661) Prec@5 86.719 (86.905) Epoch: [87][440/10010] Time 0.315 (0.332) Data 0.001 (0.006) Loss 1.1546 (1.3376) Prec@1 68.750 (68.695) Prec@5 92.188 (86.930) Epoch: [87][450/10010] Time 0.326 (0.332) Data 0.001 (0.006) Loss 1.4587 (1.3387) Prec@1 64.062 (68.679) Prec@5 85.156 (86.921) Epoch: [87][460/10010] Time 0.322 (0.332) Data 0.001 (0.006) Loss 1.5061 (1.3398) Prec@1 68.750 (68.665) Prec@5 82.812 (86.893) Epoch: [87][470/10010] Time 0.310 (0.332) Data 0.001 (0.006) Loss 1.6141 (1.3412) Prec@1 60.156 (68.619) Prec@5 82.812 (86.876) Epoch: [87][480/10010] Time 0.321 (0.332) Data 0.000 (0.006) Loss 1.2248 (1.3418) Prec@1 70.312 (68.612) Prec@5 88.281 (86.883) Epoch: [87][490/10010] Time 0.317 (0.332) Data 0.001 (0.006) Loss 1.2088 (1.3411) Prec@1 64.062 (68.613) Prec@5 90.625 (86.897) Epoch: [87][500/10010] Time 0.328 (0.332) Data 0.000 (0.006) Loss 1.6605 (1.3445) Prec@1 61.719 (68.561) Prec@5 84.375 (86.854) Epoch: [87][510/10010] Time 0.319 (0.331) Data 0.000 (0.006) Loss 1.3436 (1.3442) Prec@1 71.094 (68.597) Prec@5 89.062 (86.873) Epoch: [87][520/10010] Time 0.312 (0.331) Data 0.001 (0.006) Loss 1.2763 (1.3444) Prec@1 72.656 (68.606) Prec@5 87.500 (86.866) Epoch: [87][530/10010] Time 0.335 (0.331) Data 0.001 (0.005) Loss 1.5205 (1.3439) Prec@1 64.062 (68.601) Prec@5 86.719 (86.894) Epoch: [87][540/10010] Time 0.331 (0.331) Data 0.000 (0.005) Loss 1.4615 (1.3438) Prec@1 65.625 (68.588) Prec@5 85.938 (86.899) Epoch: [87][550/10010] Time 0.322 (0.331) Data 0.001 (0.005) Loss 1.5538 (1.3440) Prec@1 66.406 (68.578) Prec@5 85.938 (86.907) Epoch: [87][560/10010] Time 0.320 (0.331) Data 0.001 (0.005) Loss 1.0197 (1.3432) Prec@1 75.781 (68.605) Prec@5 91.406 (86.928) Epoch: [87][570/10010] Time 0.331 (0.331) Data 0.000 (0.005) Loss 1.4333 (1.3431) Prec@1 68.750 (68.610) Prec@5 85.938 (86.945) Epoch: [87][580/10010] Time 0.317 (0.331) Data 0.000 (0.005) Loss 1.3063 (1.3419) Prec@1 73.438 (68.638) Prec@5 85.156 (86.958) Epoch: [87][590/10010] Time 0.322 (0.331) Data 0.001 (0.005) Loss 1.1994 (1.3413) Prec@1 63.281 (68.631) Prec@5 91.406 (86.980) Epoch: [87][600/10010] Time 0.338 (0.331) Data 0.001 (0.005) Loss 1.2310 (1.3398) Prec@1 67.969 (68.653) Prec@5 88.281 (86.998) Epoch: [87][610/10010] Time 0.339 (0.331) Data 0.001 (0.005) Loss 1.2526 (1.3389) Prec@1 72.656 (68.646) Prec@5 89.844 (87.017) Epoch: [87][620/10010] Time 0.318 (0.331) Data 0.000 (0.005) Loss 1.2633 (1.3395) Prec@1 71.875 (68.627) Prec@5 88.281 (87.004) Epoch: [87][630/10010] Time 0.320 (0.331) Data 0.000 (0.005) Loss 1.3949 (1.3404) Prec@1 65.625 (68.616) Prec@5 85.938 (86.991) Epoch: [87][640/10010] Time 0.322 (0.331) Data 0.001 (0.005) Loss 1.3800 (1.3418) Prec@1 62.500 (68.584) Prec@5 88.281 (86.971) Epoch: [87][650/10010] Time 0.337 (0.331) Data 0.000 (0.005) Loss 1.2388 (1.3420) Prec@1 71.875 (68.552) Prec@5 86.719 (86.973) Epoch: [87][660/10010] Time 0.321 (0.331) Data 0.000 (0.004) Loss 1.3551 (1.3422) Prec@1 66.406 (68.555) Prec@5 85.938 (86.966) Epoch: [87][670/10010] Time 0.321 (0.330) Data 0.000 (0.004) Loss 1.1942 (1.3413) Prec@1 74.219 (68.580) Prec@5 89.844 (86.984) Epoch: [87][680/10010] Time 0.313 (0.330) Data 0.001 (0.004) Loss 1.4198 (1.3417) Prec@1 67.969 (68.558) Prec@5 82.812 (86.973) Epoch: [87][690/10010] Time 0.326 (0.330) Data 0.000 (0.004) Loss 1.4761 (1.3415) Prec@1 66.406 (68.561) Prec@5 85.156 (86.986) Epoch: [87][700/10010] Time 0.321 (0.330) Data 0.001 (0.004) Loss 1.2392 (1.3409) Prec@1 70.312 (68.576) Prec@5 90.625 (86.993) Epoch: [87][710/10010] Time 0.329 (0.330) Data 0.001 (0.004) Loss 1.3223 (1.3408) Prec@1 71.094 (68.588) Prec@5 89.062 (86.999) Epoch: [87][720/10010] Time 0.339 (0.330) Data 0.001 (0.004) Loss 1.4892 (1.3406) Prec@1 64.062 (68.604) Prec@5 85.938 (87.010) Epoch: [87][730/10010] Time 0.338 (0.330) Data 0.000 (0.004) Loss 1.4609 (1.3405) Prec@1 70.312 (68.594) Prec@5 85.156 (87.024) Epoch: [87][740/10010] Time 0.333 (0.330) Data 0.001 (0.004) Loss 1.3921 (1.3414) Prec@1 70.312 (68.579) Prec@5 87.500 (87.013) Epoch: [87][750/10010] Time 0.338 (0.330) Data 0.000 (0.004) Loss 1.5490 (1.3413) Prec@1 62.500 (68.588) Prec@5 83.594 (87.017) Epoch: [87][760/10010] Time 0.326 (0.330) Data 0.000 (0.004) Loss 1.3630 (1.3426) Prec@1 69.531 (68.569) Prec@5 88.281 (86.998) Epoch: [87][770/10010] Time 0.340 (0.330) Data 0.001 (0.004) Loss 1.1379 (1.3422) Prec@1 75.000 (68.575) Prec@5 91.406 (87.010) Epoch: [87][780/10010] Time 0.335 (0.330) Data 0.000 (0.004) Loss 1.3521 (1.3418) Prec@1 66.406 (68.582) Prec@5 85.938 (87.024) Epoch: [87][790/10010] Time 0.332 (0.330) Data 0.000 (0.004) Loss 1.2380 (1.3416) Prec@1 69.531 (68.596) Prec@5 87.500 (87.028) Epoch: [87][800/10010] Time 0.314 (0.330) Data 0.001 (0.004) Loss 1.4727 (1.3423) Prec@1 67.969 (68.586) Prec@5 82.031 (87.025) Epoch: [87][810/10010] Time 0.340 (0.330) Data 0.001 (0.004) Loss 1.2962 (1.3433) Prec@1 72.656 (68.561) Prec@5 89.844 (87.004) Epoch: [87][820/10010] Time 0.313 (0.330) Data 0.001 (0.004) Loss 1.3049 (1.3438) Prec@1 74.219 (68.563) Prec@5 89.062 (87.008) Epoch: [87][830/10010] Time 0.325 (0.330) Data 0.001 (0.004) Loss 1.1486 (1.3439) Prec@1 68.750 (68.545) Prec@5 92.969 (87.013) Epoch: [87][840/10010] Time 0.337 (0.330) Data 0.000 (0.004) Loss 1.5848 (1.3437) Prec@1 64.062 (68.562) Prec@5 82.031 (87.010) Epoch: [87][850/10010] Time 0.323 (0.330) Data 0.001 (0.004) Loss 1.4487 (1.3438) Prec@1 65.625 (68.564) Prec@5 86.719 (87.016) Epoch: [87][860/10010] Time 0.319 (0.330) Data 0.001 (0.004) Loss 1.1521 (1.3429) Prec@1 71.875 (68.588) Prec@5 92.969 (87.040) Epoch: [87][870/10010] Time 0.337 (0.330) Data 0.001 (0.004) Loss 1.4274 (1.3423) Prec@1 71.094 (68.601) Prec@5 86.719 (87.052) Epoch: [87][880/10010] Time 0.325 (0.330) Data 0.001 (0.004) Loss 1.3588 (1.3416) Prec@1 67.188 (68.614) Prec@5 86.719 (87.076) Epoch: [87][890/10010] Time 0.343 (0.330) Data 0.000 (0.003) Loss 1.3900 (1.3419) Prec@1 67.188 (68.596) Prec@5 86.719 (87.075) Epoch: [87][900/10010] Time 0.338 (0.330) Data 0.000 (0.003) Loss 0.9486 (1.3411) Prec@1 77.344 (68.605) Prec@5 94.531 (87.088) Epoch: [87][910/10010] Time 0.316 (0.330) Data 0.001 (0.003) Loss 1.6532 (1.3421) Prec@1 63.281 (68.572) Prec@5 79.688 (87.065) Epoch: [87][920/10010] Time 0.317 (0.330) Data 0.000 (0.003) Loss 1.1814 (1.3421) Prec@1 72.656 (68.577) Prec@5 86.719 (87.061) Epoch: [87][930/10010] Time 0.340 (0.330) Data 0.000 (0.003) Loss 1.7186 (1.3426) Prec@1 62.500 (68.579) Prec@5 82.031 (87.053) Epoch: [87][940/10010] Time 0.333 (0.330) Data 0.001 (0.003) Loss 1.2510 (1.3418) Prec@1 72.656 (68.592) Prec@5 89.844 (87.059) Epoch: [87][950/10010] Time 0.334 (0.330) Data 0.001 (0.003) Loss 1.5632 (1.3423) Prec@1 65.625 (68.582) Prec@5 85.938 (87.047) /data/vision/torralba/deepscene/lib/anaconda2/lib/python2.7/site-packages/PIL/TiffImagePlugin.py:692: UserWarning: Possibly corrupt EXIF data. Expecting to read 2555904 bytes but only got 0. Skipping tag 0 "Skipping tag %s" % (size, len(data), tag)) Epoch: [87][960/10010] Time 0.342 (0.330) Data 0.000 (0.003) Loss 1.4868 (1.3416) Prec@1 66.406 (68.598) Prec@5 88.281 (87.057) Epoch: [87][970/10010] Time 0.317 (0.330) Data 0.001 (0.003) Loss 1.7530 (1.3421) Prec@1 64.062 (68.596) Prec@5 79.688 (87.049) Epoch: [87][980/10010] Time 0.344 (0.330) Data 0.000 (0.003) Loss 1.5208 (1.3417) Prec@1 63.281 (68.603) Prec@5 85.938 (87.053) Epoch: [87][990/10010] Time 0.325 (0.330) Data 0.001 (0.003) Loss 1.3167 (1.3414) Prec@1 67.969 (68.614) Prec@5 86.719 (87.059) Epoch: [87][1000/10010] Time 0.320 (0.330) Data 0.000 (0.003) Loss 1.0267 (1.3404) Prec@1 72.656 (68.636) Prec@5 92.969 (87.071) Epoch: [87][1010/10010] Time 0.325 (0.330) Data 0.001 (0.003) Loss 1.2150 (1.3408) Prec@1 68.750 (68.639) Prec@5 88.281 (87.066) Epoch: [87][1020/10010] Time 0.321 (0.330) Data 0.001 (0.003) Loss 1.2139 (1.3408) Prec@1 71.875 (68.640) Prec@5 89.062 (87.058) Epoch: [87][1030/10010] Time 0.319 (0.330) Data 0.001 (0.003) Loss 1.0784 (1.3403) Prec@1 75.000 (68.648) Prec@5 88.281 (87.070) Epoch: [87][1040/10010] Time 0.315 (0.330) Data 0.001 (0.003) Loss 1.3125 (1.3400) Prec@1 65.625 (68.649) Prec@5 86.719 (87.071) Epoch: [87][1050/10010] Time 0.319 (0.330) Data 0.001 (0.003) Loss 1.4256 (1.3400) Prec@1 67.969 (68.657) Prec@5 89.062 (87.075) Epoch: [87][1060/10010] Time 0.320 (0.330) Data 0.001 (0.003) Loss 1.4820 (1.3400) Prec@1 67.969 (68.670) Prec@5 85.938 (87.071) Epoch: [87][1070/10010] Time 0.331 (0.330) Data 0.001 (0.003) Loss 0.9599 (1.3406) Prec@1 77.344 (68.652) Prec@5 91.406 (87.067) Epoch: [87][1080/10010] Time 0.337 (0.330) Data 0.000 (0.003) Loss 1.3926 (1.3401) Prec@1 68.750 (68.655) Prec@5 85.938 (87.079) Epoch: [87][1090/10010] Time 0.332 (0.330) Data 0.000 (0.003) Loss 1.0075 (1.3403) Prec@1 75.781 (68.664) Prec@5 89.844 (87.071) Epoch: [87][1100/10010] Time 0.338 (0.330) Data 0.000 (0.003) Loss 1.2867 (1.3404) Prec@1 74.219 (68.679) Prec@5 91.406 (87.074) Epoch: [87][1110/10010] Time 0.334 (0.330) Data 0.001 (0.003) Loss 1.1316 (1.3404) Prec@1 69.531 (68.682) Prec@5 87.500 (87.063) Epoch: [87][1120/10010] Time 0.323 (0.330) Data 0.000 (0.003) Loss 1.3174 (1.3400) Prec@1 71.875 (68.703) Prec@5 89.062 (87.064) Epoch: [87][1130/10010] Time 0.322 (0.330) Data 0.000 (0.003) Loss 1.3474 (1.3400) Prec@1 71.094 (68.717) Prec@5 87.500 (87.064) Epoch: [87][1140/10010] Time 0.322 (0.329) Data 0.000 (0.003) Loss 1.4444 (1.3396) Prec@1 63.281 (68.716) Prec@5 87.500 (87.069) Epoch: [87][1150/10010] Time 0.320 (0.329) Data 0.001 (0.003) Loss 1.4638 (1.3396) Prec@1 68.750 (68.727) Prec@5 87.500 (87.078) Epoch: [87][1160/10010] Time 0.323 (0.329) Data 0.000 (0.003) Loss 1.6148 (1.3406) Prec@1 67.188 (68.716) Prec@5 84.375 (87.063) Epoch: [87][1170/10010] Time 0.311 (0.329) Data 0.001 (0.003) Loss 1.5649 (1.3399) Prec@1 57.812 (68.719) Prec@5 84.375 (87.078) Epoch: [87][1180/10010] Time 0.319 (0.329) Data 0.000 (0.003) Loss 1.2134 (1.3395) Prec@1 69.531 (68.728) Prec@5 89.844 (87.087) Epoch: [87][1190/10010] Time 0.318 (0.329) Data 0.001 (0.003) Loss 1.3779 (1.3396) Prec@1 68.750 (68.727) Prec@5 85.938 (87.080) Epoch: [87][1200/10010] Time 0.335 (0.329) Data 0.000 (0.003) Loss 1.1157 (1.3401) Prec@1 72.656 (68.721) Prec@5 90.625 (87.075) Epoch: [87][1210/10010] Time 0.337 (0.329) Data 0.000 (0.003) Loss 1.5807 (1.3400) Prec@1 62.500 (68.728) Prec@5 85.938 (87.079) Epoch: [87][1220/10010] Time 0.329 (0.329) Data 0.001 (0.003) Loss 1.3057 (1.3394) Prec@1 69.531 (68.735) Prec@5 89.062 (87.087) Epoch: [87][1230/10010] Time 0.317 (0.329) Data 0.001 (0.003) Loss 1.6966 (1.3394) Prec@1 60.156 (68.728) Prec@5 84.375 (87.089) Epoch: [87][1240/10010] Time 0.335 (0.329) Data 0.001 (0.003) Loss 1.2324 (1.3395) Prec@1 70.312 (68.729) Prec@5 89.062 (87.091) Epoch: [87][1250/10010] Time 0.328 (0.329) Data 0.001 (0.003) Loss 1.6268 (1.3394) Prec@1 65.625 (68.727) Prec@5 83.594 (87.095) Epoch: [87][1260/10010] Time 0.322 (0.329) Data 0.001 (0.003) Loss 1.0928 (1.3391) Prec@1 73.438 (68.737) Prec@5 90.625 (87.105) Epoch: [87][1270/10010] Time 0.338 (0.329) Data 0.001 (0.003) Loss 1.3573 (1.3388) Prec@1 68.750 (68.751) Prec@5 88.281 (87.114) Epoch: [87][1280/10010] Time 0.316 (0.329) Data 0.000 (0.003) Loss 1.4806 (1.3390) Prec@1 65.625 (68.741) Prec@5 85.938 (87.110) Epoch: [87][1290/10010] Time 0.318 (0.329) Data 0.001 (0.003) Loss 1.3219 (1.3384) Prec@1 70.312 (68.752) Prec@5 89.062 (87.120) Epoch: [87][1300/10010] Time 0.328 (0.329) Data 0.001 (0.003) Loss 1.2641 (1.3383) Prec@1 67.969 (68.761) Prec@5 86.719 (87.126) Epoch: [87][1310/10010] Time 0.333 (0.329) Data 0.001 (0.003) Loss 1.1637 (1.3382) Prec@1 75.000 (68.764) Prec@5 89.062 (87.125) Epoch: [87][1320/10010] Time 0.328 (0.329) Data 0.000 (0.003) Loss 1.3769 (1.3382) Prec@1 70.312 (68.763) Prec@5 86.719 (87.123) Epoch: [87][1330/10010] Time 0.330 (0.329) Data 0.000 (0.003) Loss 1.5960 (1.3383) Prec@1 66.406 (68.756) Prec@5 82.812 (87.124) Epoch: [87][1340/10010] Time 0.327 (0.329) Data 0.001 (0.003) Loss 1.0799 (1.3376) Prec@1 74.219 (68.770) Prec@5 90.625 (87.135) Epoch: [87][1350/10010] Time 0.334 (0.329) Data 0.001 (0.003) Loss 1.1766 (1.3372) Prec@1 71.094 (68.774) Prec@5 88.281 (87.145) Epoch: [87][1360/10010] Time 0.334 (0.329) Data 0.000 (0.003) Loss 1.4042 (1.3374) Prec@1 70.312 (68.775) Prec@5 85.938 (87.138) Epoch: [87][1370/10010] Time 0.338 (0.329) Data 0.001 (0.002) Loss 0.8880 (1.3370) Prec@1 78.906 (68.794) Prec@5 92.969 (87.144) Epoch: [87][1380/10010] Time 0.340 (0.329) Data 0.000 (0.002) Loss 1.3696 (1.3371) Prec@1 67.188 (68.795) Prec@5 87.500 (87.144) Epoch: [87][1390/10010] Time 0.342 (0.329) Data 0.000 (0.002) Loss 1.0221 (1.3369) Prec@1 75.781 (68.794) Prec@5 93.750 (87.142) Epoch: [87][1400/10010] Time 0.336 (0.329) Data 0.001 (0.002) Loss 1.4038 (1.3374) Prec@1 64.844 (68.778) Prec@5 86.719 (87.141) Epoch: [87][1410/10010] Time 0.335 (0.329) Data 0.001 (0.002) Loss 1.2984 (1.3370) Prec@1 67.188 (68.786) Prec@5 88.281 (87.144) Epoch: [87][1420/10010] Time 0.337 (0.329) Data 0.001 (0.002) Loss 1.4922 (1.3375) Prec@1 70.312 (68.784) Prec@5 83.594 (87.137) Epoch: [87][1430/10010] Time 0.315 (0.329) Data 0.001 (0.002) Loss 1.3567 (1.3372) Prec@1 65.625 (68.791) Prec@5 86.719 (87.142) Epoch: [87][1440/10010] Time 0.327 (0.329) Data 0.000 (0.002) Loss 1.3100 (1.3371) Prec@1 65.625 (68.785) Prec@5 86.719 (87.141) Epoch: [87][1450/10010] Time 0.326 (0.329) Data 0.001 (0.002) Loss 1.5033 (1.3369) Prec@1 68.750 (68.791) Prec@5 85.938 (87.145) Epoch: [87][1460/10010] Time 0.321 (0.329) Data 0.000 (0.002) Loss 1.3491 (1.3370) Prec@1 69.531 (68.793) Prec@5 83.594 (87.144) Epoch: [87][1470/10010] Time 0.333 (0.329) Data 0.000 (0.002) Loss 1.1983 (1.3364) Prec@1 73.438 (68.806) Prec@5 87.500 (87.151) Epoch: [87][1480/10010] Time 0.326 (0.329) Data 0.000 (0.002) Loss 1.2224 (1.3367) Prec@1 70.312 (68.812) Prec@5 91.406 (87.149) Epoch: [87][1490/10010] Time 0.338 (0.329) Data 0.001 (0.002) Loss 1.3275 (1.3368) Prec@1 68.750 (68.810) Prec@5 84.375 (87.151) Epoch: [87][1500/10010] Time 0.325 (0.329) Data 0.000 (0.002) Loss 1.3686 (1.3367) Prec@1 65.625 (68.809) Prec@5 85.938 (87.154) Epoch: [87][1510/10010] Time 0.330 (0.329) Data 0.001 (0.002) Loss 1.4882 (1.3368) Prec@1 67.969 (68.807) Prec@5 88.281 (87.152) Epoch: [87][1520/10010] Time 0.326 (0.329) Data 0.000 (0.002) Loss 1.5939 (1.3372) Prec@1 64.062 (68.794) Prec@5 85.156 (87.145) Epoch: [87][1530/10010] Time 0.320 (0.329) Data 0.000 (0.002) Loss 1.3061 (1.3375) Prec@1 68.750 (68.787) Prec@5 90.625 (87.138) Epoch: [87][1540/10010] Time 0.317 (0.329) Data 0.001 (0.002) Loss 1.4168 (1.3375) Prec@1 65.625 (68.789) Prec@5 85.156 (87.140) Epoch: [87][1550/10010] Time 0.336 (0.329) Data 0.001 (0.002) Loss 1.4678 (1.3371) Prec@1 65.625 (68.789) Prec@5 83.594 (87.145) Epoch: [87][1560/10010] Time 0.334 (0.329) Data 0.001 (0.002) Loss 1.5034 (1.3370) Prec@1 65.625 (68.796) Prec@5 86.719 (87.146) Epoch: [87][1570/10010] Time 0.314 (0.329) Data 0.001 (0.002) Loss 1.5071 (1.3372) Prec@1 65.625 (68.787) Prec@5 85.156 (87.149) Epoch: [87][1580/10010] Time 0.318 (0.329) Data 0.000 (0.002) Loss 1.2047 (1.3368) Prec@1 71.094 (68.796) Prec@5 89.062 (87.154) Epoch: [87][1590/10010] Time 0.323 (0.329) Data 0.001 (0.002) Loss 1.4619 (1.3370) Prec@1 64.062 (68.790) Prec@5 88.281 (87.156) Epoch: [87][1600/10010] Time 0.320 (0.329) Data 0.001 (0.002) Loss 1.4888 (1.3366) Prec@1 67.188 (68.802) Prec@5 85.156 (87.159) Epoch: [87][1610/10010] Time 0.331 (0.329) Data 0.001 (0.002) Loss 1.5036 (1.3367) Prec@1 61.719 (68.799) Prec@5 88.281 (87.162) Epoch: [87][1620/10010] Time 0.342 (0.329) Data 0.000 (0.002) Loss 1.2247 (1.3366) Prec@1 72.656 (68.799) Prec@5 89.844 (87.170) Epoch: [87][1630/10010] Time 0.318 (0.329) Data 0.000 (0.002) Loss 1.2715 (1.3368) Prec@1 71.094 (68.799) Prec@5 89.844 (87.168) Epoch: [87][1640/10010] Time 0.334 (0.329) Data 0.001 (0.002) Loss 1.2798 (1.3365) Prec@1 68.750 (68.802) Prec@5 85.156 (87.172) Epoch: [87][1650/10010] Time 0.317 (0.329) Data 0.001 (0.002) Loss 1.4115 (1.3362) Prec@1 71.094 (68.812) Prec@5 85.156 (87.173) Epoch: [87][1660/10010] Time 0.340 (0.329) Data 0.001 (0.002) Loss 1.2033 (1.3356) Prec@1 73.438 (68.822) Prec@5 86.719 (87.184) Epoch: [87][1670/10010] Time 0.312 (0.329) Data 0.001 (0.002) Loss 1.5025 (1.3358) Prec@1 64.062 (68.815) Prec@5 82.031 (87.183) Epoch: [87][1680/10010] Time 0.331 (0.329) Data 0.001 (0.002) Loss 1.3260 (1.3360) Prec@1 69.531 (68.809) Prec@5 86.719 (87.180) Epoch: [87][1690/10010] Time 0.338 (0.329) Data 0.001 (0.002) Loss 1.3639 (1.3359) Prec@1 71.094 (68.808) Prec@5 84.375 (87.180) Epoch: [87][1700/10010] Time 0.320 (0.329) Data 0.001 (0.002) Loss 1.6596 (1.3362) Prec@1 66.406 (68.809) Prec@5 82.812 (87.178) Epoch: [87][1710/10010] Time 0.314 (0.329) Data 0.001 (0.002) Loss 1.3023 (1.3363) Prec@1 71.875 (68.807) Prec@5 87.500 (87.178) Epoch: [87][1720/10010] Time 0.325 (0.329) Data 0.001 (0.002) Loss 1.0767 (1.3362) Prec@1 75.000 (68.813) Prec@5 89.844 (87.175) Epoch: [87][1730/10010] Time 0.316 (0.329) Data 0.001 (0.002) Loss 1.3352 (1.3361) Prec@1 67.969 (68.810) Prec@5 88.281 (87.174) Epoch: [87][1740/10010] Time 0.329 (0.329) Data 0.000 (0.002) Loss 1.3241 (1.3363) Prec@1 65.625 (68.803) Prec@5 87.500 (87.173) Epoch: [87][1750/10010] Time 0.318 (0.329) Data 0.001 (0.002) Loss 1.5008 (1.3365) Prec@1 65.625 (68.796) Prec@5 85.938 (87.171) Epoch: [87][1760/10010] Time 0.318 (0.329) Data 0.001 (0.002) Loss 1.1530 (1.3364) Prec@1 72.656 (68.798) Prec@5 89.844 (87.166) Epoch: [87][1770/10010] Time 0.333 (0.329) Data 0.000 (0.002) Loss 1.3265 (1.3364) Prec@1 71.094 (68.797) Prec@5 86.719 (87.165) Epoch: [87][1780/10010] Time 0.320 (0.329) Data 0.000 (0.002) Loss 1.4807 (1.3368) Prec@1 66.406 (68.793) Prec@5 81.250 (87.156) Epoch: [87][1790/10010] Time 0.317 (0.329) Data 0.000 (0.002) Loss 1.5224 (1.3371) Prec@1 61.719 (68.780) Prec@5 85.938 (87.155) Epoch: [87][1800/10010] Time 0.336 (0.329) Data 0.001 (0.002) Loss 1.1389 (1.3371) Prec@1 75.000 (68.779) Prec@5 90.625 (87.160) Epoch: [87][1810/10010] Time 0.342 (0.329) Data 0.000 (0.002) Loss 1.1733 (1.3370) Prec@1 71.094 (68.777) Prec@5 89.062 (87.158) Epoch: [87][1820/10010] Time 0.340 (0.329) Data 0.000 (0.002) Loss 1.2589 (1.3370) Prec@1 66.406 (68.770) Prec@5 89.062 (87.163) Epoch: [87][1830/10010] Time 0.330 (0.329) Data 0.001 (0.002) Loss 1.3046 (1.3381) Prec@1 71.875 (68.750) Prec@5 87.500 (87.150) Epoch: [87][1840/10010] Time 0.328 (0.329) Data 0.000 (0.002) Loss 1.4933 (1.3384) Prec@1 64.844 (68.744) Prec@5 81.250 (87.140) Epoch: [87][1850/10010] Time 0.316 (0.329) Data 0.001 (0.002) Loss 1.2508 (1.3381) Prec@1 67.188 (68.748) Prec@5 88.281 (87.143) Epoch: [87][1860/10010] Time 0.337 (0.329) Data 0.000 (0.002) Loss 1.2100 (1.3378) Prec@1 68.750 (68.759) Prec@5 92.188 (87.151) Epoch: [87][1870/10010] Time 0.326 (0.329) Data 0.000 (0.002) Loss 1.2004 (1.3379) Prec@1 70.312 (68.756) Prec@5 87.500 (87.151) Epoch: [87][1880/10010] Time 0.333 (0.329) Data 0.001 (0.002) Loss 1.1409 (1.3378) Prec@1 73.438 (68.764) Prec@5 90.625 (87.150) Epoch: [87][1890/10010] Time 0.336 (0.329) Data 0.000 (0.002) Loss 1.5529 (1.3381) Prec@1 69.531 (68.771) Prec@5 81.250 (87.142) Epoch: [87][1900/10010] Time 0.314 (0.329) Data 0.001 (0.002) Loss 1.0821 (1.3382) Prec@1 78.125 (68.775) Prec@5 91.406 (87.142) Epoch: [87][1910/10010] Time 0.328 (0.329) Data 0.001 (0.002) Loss 1.4423 (1.3388) Prec@1 61.719 (68.768) Prec@5 85.938 (87.131) Epoch: [87][1920/10010] Time 0.319 (0.329) Data 0.000 (0.002) Loss 1.2542 (1.3386) Prec@1 70.312 (68.769) Prec@5 89.062 (87.133) Epoch: [87][1930/10010] Time 0.338 (0.329) Data 0.000 (0.002) Loss 1.2978 (1.3388) Prec@1 68.750 (68.766) Prec@5 91.406 (87.135) Epoch: [87][1940/10010] Time 0.331 (0.329) Data 0.001 (0.002) Loss 1.4501 (1.3385) Prec@1 67.969 (68.770) Prec@5 84.375 (87.136) Epoch: [87][1950/10010] Time 0.341 (0.329) Data 0.000 (0.002) Loss 1.3426 (1.3382) Prec@1 71.875 (68.782) Prec@5 86.719 (87.140) Epoch: [87][1960/10010] Time 0.333 (0.329) Data 0.000 (0.002) Loss 1.2267 (1.3388) Prec@1 72.656 (68.774) Prec@5 87.500 (87.125) Epoch: [87][1970/10010] Time 0.325 (0.329) Data 0.000 (0.002) Loss 0.9684 (1.3391) Prec@1 71.875 (68.762) Prec@5 89.844 (87.118) Epoch: [87][1980/10010] Time 0.318 (0.329) Data 0.001 (0.002) Loss 1.5839 (1.3392) Prec@1 62.500 (68.754) Prec@5 84.375 (87.117) /data/vision/torralba/deepscene/lib/anaconda2/lib/python2.7/site-packages/PIL/TiffImagePlugin.py:692: UserWarning: Possibly corrupt EXIF data. Expecting to read 1835008 bytes but only got 0. Skipping tag 0 "Skipping tag %s" % (size, len(data), tag)) Epoch: [87][1990/10010] Time 0.314 (0.329) Data 0.000 (0.002) Loss 1.4940 (1.3396) Prec@1 67.188 (68.749) Prec@5 82.812 (87.113) Epoch: [87][2000/10010] Time 0.320 (0.329) Data 0.001 (0.002) Loss 1.3144 (1.3396) Prec@1 70.312 (68.749) Prec@5 85.156 (87.109) Epoch: [87][2010/10010] Time 0.333 (0.329) Data 0.000 (0.002) Loss 1.2271 (1.3394) Prec@1 67.969 (68.753) Prec@5 90.625 (87.110) Epoch: [87][2020/10010] Time 0.325 (0.329) Data 0.000 (0.002) Loss 1.1454 (1.3393) Prec@1 66.406 (68.753) Prec@5 93.750 (87.112) Epoch: [87][2030/10010] Time 0.328 (0.329) Data 0.001 (0.002) Loss 1.3244 (1.3395) Prec@1 72.656 (68.754) Prec@5 88.281 (87.107) Epoch: [87][2040/10010] Time 0.339 (0.329) Data 0.000 (0.002) Loss 1.3055 (1.3395) Prec@1 68.750 (68.757) Prec@5 85.938 (87.108) Epoch: [87][2050/10010] Time 0.329 (0.329) Data 0.001 (0.002) Loss 1.5384 (1.3397) Prec@1 67.969 (68.756) Prec@5 83.594 (87.109) Epoch: [87][2060/10010] Time 0.336 (0.329) Data 0.000 (0.002) Loss 1.1454 (1.3394) Prec@1 69.531 (68.758) Prec@5 90.625 (87.114) Epoch: [87][2070/10010] Time 0.341 (0.329) Data 0.001 (0.002) Loss 1.1105 (1.3394) Prec@1 75.000 (68.759) Prec@5 89.844 (87.111) Epoch: [87][2080/10010] Time 0.317 (0.329) Data 0.001 (0.002) Loss 1.5790 (1.3392) Prec@1 62.500 (68.765) Prec@5 85.938 (87.116) Epoch: [87][2090/10010] Time 0.339 (0.329) Data 0.001 (0.002) Loss 1.3784 (1.3393) Prec@1 69.531 (68.764) Prec@5 85.156 (87.117) Epoch: [87][2100/10010] Time 0.341 (0.329) Data 0.001 (0.002) Loss 1.3826 (1.3392) Prec@1 64.062 (68.757) Prec@5 87.500 (87.123) Epoch: [87][2110/10010] Time 0.322 (0.329) Data 0.001 (0.002) Loss 1.5485 (1.3395) Prec@1 69.531 (68.753) Prec@5 82.812 (87.118) Epoch: [87][2120/10010] Time 0.331 (0.329) Data 0.000 (0.002) Loss 1.1823 (1.3392) Prec@1 68.750 (68.757) Prec@5 89.062 (87.118) Epoch: [87][2130/10010] Time 0.334 (0.329) Data 0.001 (0.002) Loss 1.5705 (1.3395) Prec@1 62.500 (68.750) Prec@5 87.500 (87.116) Epoch: [87][2140/10010] Time 0.338 (0.329) Data 0.001 (0.002) Loss 1.4244 (1.3395) Prec@1 67.969 (68.754) Prec@5 87.500 (87.118) Epoch: [87][2150/10010] Time 0.326 (0.329) Data 0.001 (0.002) Loss 1.4483 (1.3396) Prec@1 70.312 (68.757) Prec@5 84.375 (87.111) Epoch: [87][2160/10010] Time 0.316 (0.329) Data 0.001 (0.002) Loss 1.2430 (1.3398) Prec@1 71.094 (68.751) Prec@5 85.156 (87.108) Epoch: [87][2170/10010] Time 0.320 (0.329) Data 0.001 (0.002) Loss 1.6006 (1.3398) Prec@1 60.938 (68.756) Prec@5 82.031 (87.106) Epoch: [87][2180/10010] Time 0.317 (0.329) Data 0.001 (0.002) Loss 1.2484 (1.3397) Prec@1 69.531 (68.751) Prec@5 89.062 (87.105) Epoch: [87][2190/10010] Time 0.319 (0.329) Data 0.001 (0.002) Loss 1.2031 (1.3400) Prec@1 71.875 (68.750) Prec@5 87.500 (87.105) Epoch: [87][2200/10010] Time 0.336 (0.329) Data 0.001 (0.002) Loss 1.0230 (1.3403) Prec@1 75.000 (68.747) Prec@5 89.844 (87.101) Epoch: [87][2210/10010] Time 0.330 (0.329) Data 0.001 (0.002) Loss 1.2095 (1.3400) Prec@1 71.875 (68.757) Prec@5 89.844 (87.107) Epoch: [87][2220/10010] Time 0.315 (0.329) Data 0.001 (0.002) Loss 1.4281 (1.3397) Prec@1 74.219 (68.765) Prec@5 80.469 (87.108) Epoch: [87][2230/10010] Time 0.331 (0.329) Data 0.000 (0.002) Loss 1.2386 (1.3398) Prec@1 70.312 (68.760) Prec@5 88.281 (87.105) Epoch: [87][2240/10010] Time 0.335 (0.329) Data 0.001 (0.002) Loss 1.5855 (1.3399) Prec@1 62.500 (68.752) Prec@5 83.594 (87.104) Epoch: [87][2250/10010] Time 0.312 (0.329) Data 0.000 (0.002) Loss 1.4769 (1.3402) Prec@1 67.188 (68.752) Prec@5 84.375 (87.100) Epoch: [87][2260/10010] Time 0.314 (0.329) Data 0.001 (0.002) Loss 1.2817 (1.3402) Prec@1 68.750 (68.748) Prec@5 89.844 (87.101) Epoch: [87][2270/10010] Time 0.328 (0.329) Data 0.001 (0.002) Loss 1.0843 (1.3399) Prec@1 69.531 (68.751) Prec@5 91.406 (87.103) Epoch: [87][2280/10010] Time 0.326 (0.329) Data 0.000 (0.002) Loss 1.2950 (1.3401) Prec@1 66.406 (68.749) Prec@5 86.719 (87.098) Epoch: [87][2290/10010] Time 0.333 (0.329) Data 0.000 (0.002) Loss 1.2482 (1.3402) Prec@1 69.531 (68.753) Prec@5 85.156 (87.095) Epoch: [87][2300/10010] Time 0.320 (0.329) Data 0.000 (0.002) Loss 1.2315 (1.3403) Prec@1 71.094 (68.750) Prec@5 89.062 (87.091) Epoch: [87][2310/10010] Time 0.339 (0.329) Data 0.001 (0.002) Loss 1.2630 (1.3402) Prec@1 67.188 (68.751) Prec@5 89.062 (87.092) Epoch: [87][2320/10010] Time 0.337 (0.329) Data 0.001 (0.002) Loss 1.3813 (1.3405) Prec@1 64.062 (68.747) Prec@5 89.062 (87.086) Epoch: [87][2330/10010] Time 0.329 (0.329) Data 0.000 (0.002) Loss 1.2502 (1.3406) Prec@1 71.875 (68.750) Prec@5 89.062 (87.083) Epoch: [87][2340/10010] Time 0.338 (0.329) Data 0.001 (0.002) Loss 1.2388 (1.3405) Prec@1 67.969 (68.756) Prec@5 86.719 (87.084) Epoch: [87][2350/10010] Time 0.319 (0.329) Data 0.001 (0.002) Loss 1.4214 (1.3404) Prec@1 70.312 (68.760) Prec@5 82.812 (87.087) Epoch: [87][2360/10010] Time 0.331 (0.329) Data 0.001 (0.002) Loss 1.3954 (1.3404) Prec@1 70.312 (68.763) Prec@5 85.938 (87.090) Epoch: [87][2370/10010] Time 0.319 (0.329) Data 0.000 (0.002) Loss 1.2252 (1.3404) Prec@1 67.969 (68.764) Prec@5 92.188 (87.092) Epoch: [87][2380/10010] Time 0.332 (0.329) Data 0.001 (0.002) Loss 1.1302 (1.3404) Prec@1 73.438 (68.766) Prec@5 92.188 (87.090) Epoch: [87][2390/10010] Time 0.322 (0.329) Data 0.001 (0.002) Loss 1.3777 (1.3402) Prec@1 66.406 (68.764) Prec@5 85.938 (87.091) Epoch: [87][2400/10010] Time 0.327 (0.329) Data 0.001 (0.002) Loss 1.5078 (1.3401) Prec@1 68.750 (68.768) Prec@5 85.156 (87.093) Epoch: [87][2410/10010] Time 0.316 (0.329) Data 0.000 (0.002) Loss 1.3658 (1.3400) Prec@1 65.625 (68.767) Prec@5 88.281 (87.098) Epoch: [87][2420/10010] Time 0.317 (0.329) Data 0.000 (0.002) Loss 1.5290 (1.3399) Prec@1 62.500 (68.762) Prec@5 83.594 (87.095) Epoch: [87][2430/10010] Time 0.316 (0.329) Data 0.001 (0.002) Loss 1.3722 (1.3400) Prec@1 64.844 (68.757) Prec@5 85.938 (87.092) Epoch: [87][2440/10010] Time 0.319 (0.329) Data 0.001 (0.002) Loss 1.2323 (1.3400) Prec@1 69.531 (68.754) Prec@5 90.625 (87.093) Epoch: [87][2450/10010] Time 0.336 (0.329) Data 0.000 (0.002) Loss 1.5602 (1.3400) Prec@1 65.625 (68.753) Prec@5 84.375 (87.096) Epoch: [87][2460/10010] Time 0.337 (0.329) Data 0.000 (0.002) Loss 1.3189 (1.3401) Prec@1 69.531 (68.751) Prec@5 88.281 (87.095) Epoch: [87][2470/10010] Time 0.325 (0.329) Data 0.001 (0.002) Loss 1.3209 (1.3401) Prec@1 72.656 (68.747) Prec@5 85.156 (87.093) Epoch: [87][2480/10010] Time 0.340 (0.329) Data 0.001 (0.002) Loss 1.4312 (1.3402) Prec@1 71.094 (68.748) Prec@5 88.281 (87.092) Epoch: [87][2490/10010] Time 0.334 (0.329) Data 0.000 (0.002) Loss 1.2916 (1.3403) Prec@1 67.188 (68.751) Prec@5 85.938 (87.092) Epoch: [87][2500/10010] Time 0.335 (0.329) Data 0.000 (0.002) Loss 1.2895 (1.3399) Prec@1 67.969 (68.757) Prec@5 89.062 (87.101) Epoch: [87][2510/10010] Time 0.326 (0.329) Data 0.001 (0.002) Loss 1.4950 (1.3401) Prec@1 67.188 (68.757) Prec@5 84.375 (87.099) Epoch: [87][2520/10010] Time 0.331 (0.329) Data 0.001 (0.002) Loss 1.5303 (1.3402) Prec@1 65.625 (68.755) Prec@5 86.719 (87.099) Epoch: [87][2530/10010] Time 0.321 (0.329) Data 0.000 (0.002) Loss 1.3261 (1.3398) Prec@1 66.406 (68.761) Prec@5 89.844 (87.106) Epoch: [87][2540/10010] Time 0.320 (0.329) Data 0.000 (0.002) Loss 1.2928 (1.3398) Prec@1 66.406 (68.764) Prec@5 88.281 (87.104) Epoch: [87][2550/10010] Time 0.328 (0.329) Data 0.001 (0.002) Loss 1.4381 (1.3396) Prec@1 70.312 (68.771) Prec@5 84.375 (87.110) Epoch: [87][2560/10010] Time 0.330 (0.329) Data 0.001 (0.002) Loss 1.1919 (1.3397) Prec@1 70.312 (68.770) Prec@5 89.844 (87.108) Epoch: [87][2570/10010] Time 0.336 (0.329) Data 0.000 (0.002) Loss 1.2750 (1.3398) Prec@1 75.781 (68.773) Prec@5 89.844 (87.108) Epoch: [87][2580/10010] Time 0.317 (0.329) Data 0.000 (0.002) Loss 1.4103 (1.3397) Prec@1 71.094 (68.780) Prec@5 89.062 (87.113) Epoch: [87][2590/10010] Time 0.322 (0.329) Data 0.000 (0.002) Loss 1.3830 (1.3399) Prec@1 72.656 (68.775) Prec@5 87.500 (87.110) Epoch: [87][2600/10010] Time 0.320 (0.329) Data 0.000 (0.002) Loss 1.9238 (1.3402) Prec@1 60.156 (68.773) Prec@5 82.812 (87.108) Epoch: [87][2610/10010] Time 0.319 (0.329) Data 0.001 (0.002) Loss 1.5500 (1.3404) Prec@1 62.500 (68.771) Prec@5 84.375 (87.103) Epoch: [87][2620/10010] Time 0.318 (0.329) Data 0.001 (0.002) Loss 1.2771 (1.3404) Prec@1 71.094 (68.770) Prec@5 86.719 (87.105) Epoch: [87][2630/10010] Time 0.323 (0.329) Data 0.000 (0.002) Loss 1.3992 (1.3406) Prec@1 66.406 (68.765) Prec@5 87.500 (87.099) Epoch: [87][2640/10010] Time 0.322 (0.329) Data 0.001 (0.002) Loss 1.2848 (1.3408) Prec@1 71.875 (68.763) Prec@5 89.062 (87.095) Epoch: [87][2650/10010] Time 0.322 (0.329) Data 0.001 (0.002) Loss 1.2556 (1.3404) Prec@1 67.969 (68.769) Prec@5 89.062 (87.102) Epoch: [87][2660/10010] Time 0.321 (0.329) Data 0.000 (0.002) Loss 1.0116 (1.3405) Prec@1 74.219 (68.765) Prec@5 92.188 (87.106) Epoch: [87][2670/10010] Time 0.337 (0.329) Data 0.000 (0.002) Loss 1.3512 (1.3405) Prec@1 67.969 (68.768) Prec@5 90.625 (87.105) Epoch: [87][2680/10010] Time 0.321 (0.329) Data 0.001 (0.002) Loss 1.2270 (1.3403) Prec@1 76.562 (68.775) Prec@5 89.844 (87.112) Epoch: [87][2690/10010] Time 0.315 (0.329) Data 0.001 (0.002) Loss 1.3592 (1.3403) Prec@1 65.625 (68.774) Prec@5 88.281 (87.110) Epoch: [87][2700/10010] Time 0.313 (0.329) Data 0.001 (0.002) Loss 1.3770 (1.3402) Prec@1 69.531 (68.780) Prec@5 85.938 (87.114) Epoch: [87][2710/10010] Time 0.321 (0.329) Data 0.001 (0.002) Loss 1.6118 (1.3402) Prec@1 63.281 (68.782) Prec@5 78.125 (87.112) Epoch: [87][2720/10010] Time 0.338 (0.329) Data 0.001 (0.002) Loss 1.5078 (1.3402) Prec@1 65.625 (68.780) Prec@5 85.938 (87.114) Epoch: [87][2730/10010] Time 0.318 (0.329) Data 0.001 (0.002) Loss 1.3267 (1.3404) Prec@1 67.188 (68.777) Prec@5 85.938 (87.113) Epoch: [87][2740/10010] Time 0.339 (0.329) Data 0.001 (0.002) Loss 1.2751 (1.3405) Prec@1 66.406 (68.771) Prec@5 90.625 (87.115) Epoch: [87][2750/10010] Time 0.331 (0.329) Data 0.001 (0.002) Loss 1.2258 (1.3404) Prec@1 69.531 (68.771) Prec@5 91.406 (87.116) Epoch: [87][2760/10010] Time 0.322 (0.329) Data 0.000 (0.002) Loss 1.0553 (1.3403) Prec@1 70.312 (68.777) Prec@5 91.406 (87.117) Epoch: [87][2770/10010] Time 0.316 (0.328) Data 0.001 (0.002) Loss 1.3548 (1.3403) Prec@1 68.750 (68.778) Prec@5 85.156 (87.114) Epoch: [87][2780/10010] Time 0.316 (0.328) Data 0.001 (0.002) Loss 1.1033 (1.3405) Prec@1 75.000 (68.774) Prec@5 92.969 (87.115) Epoch: [87][2790/10010] Time 0.320 (0.328) Data 0.000 (0.002) Loss 1.0943 (1.3405) Prec@1 73.438 (68.779) Prec@5 89.844 (87.115) Epoch: [87][2800/10010] Time 0.333 (0.328) Data 0.000 (0.002) Loss 1.2131 (1.3405) Prec@1 71.094 (68.776) Prec@5 89.844 (87.110) Epoch: [87][2810/10010] Time 0.328 (0.328) Data 0.001 (0.002) Loss 1.2447 (1.3405) Prec@1 73.438 (68.779) Prec@5 85.938 (87.108) Epoch: [87][2820/10010] Time 0.332 (0.328) Data 0.001 (0.002) Loss 1.2862 (1.3407) Prec@1 67.969 (68.776) Prec@5 86.719 (87.108) Epoch: [87][2830/10010] Time 0.341 (0.328) Data 0.000 (0.002) Loss 1.2047 (1.3409) Prec@1 68.750 (68.766) Prec@5 88.281 (87.106) Epoch: [87][2840/10010] Time 0.317 (0.328) Data 0.001 (0.002) Loss 1.6174 (1.3409) Prec@1 64.062 (68.769) Prec@5 82.812 (87.105) Epoch: [87][2850/10010] Time 0.320 (0.328) Data 0.000 (0.002) Loss 1.0571 (1.3407) Prec@1 71.875 (68.775) Prec@5 91.406 (87.106) Epoch: [87][2860/10010] Time 0.330 (0.328) Data 0.000 (0.002) Loss 1.5432 (1.3407) Prec@1 63.281 (68.776) Prec@5 83.594 (87.102) Epoch: [87][2870/10010] Time 0.320 (0.328) Data 0.000 (0.002) Loss 1.5400 (1.3406) Prec@1 64.844 (68.777) Prec@5 84.375 (87.103) Epoch: [87][2880/10010] Time 0.328 (0.328) Data 0.001 (0.002) Loss 1.2556 (1.3408) Prec@1 69.531 (68.772) Prec@5 85.156 (87.099) Epoch: [87][2890/10010] Time 0.315 (0.328) Data 0.000 (0.002) Loss 1.2041 (1.3408) Prec@1 77.344 (68.775) Prec@5 89.062 (87.100) Epoch: [87][2900/10010] Time 0.316 (0.328) Data 0.001 (0.002) Loss 1.4327 (1.3409) Prec@1 68.750 (68.781) Prec@5 84.375 (87.097) Epoch: [87][2910/10010] Time 0.319 (0.328) Data 0.001 (0.002) Loss 1.1869 (1.3408) Prec@1 75.000 (68.786) Prec@5 89.844 (87.097) Epoch: [87][2920/10010] Time 0.321 (0.328) Data 0.000 (0.001) Loss 1.0361 (1.3405) Prec@1 72.656 (68.792) Prec@5 92.188 (87.102) Epoch: [87][2930/10010] Time 0.323 (0.328) Data 0.001 (0.001) Loss 1.5549 (1.3406) Prec@1 64.062 (68.790) Prec@5 84.375 (87.103) Epoch: [87][2940/10010] Time 0.334 (0.328) Data 0.001 (0.001) Loss 1.3475 (1.3402) Prec@1 67.969 (68.799) Prec@5 85.938 (87.106) Epoch: [87][2950/10010] Time 0.326 (0.328) Data 0.000 (0.001) Loss 1.5342 (1.3404) Prec@1 64.844 (68.799) Prec@5 84.375 (87.103) Epoch: [87][2960/10010] Time 0.326 (0.328) Data 0.000 (0.001) Loss 1.1544 (1.3403) Prec@1 74.219 (68.803) Prec@5 89.844 (87.107) Epoch: [87][2970/10010] Time 0.330 (0.328) Data 0.000 (0.001) Loss 1.4438 (1.3405) Prec@1 68.750 (68.798) Prec@5 83.594 (87.104) Epoch: [87][2980/10010] Time 0.333 (0.328) Data 0.001 (0.001) Loss 1.1604 (1.3403) Prec@1 68.750 (68.804) Prec@5 92.188 (87.106) Epoch: [87][2990/10010] Time 0.345 (0.328) Data 0.001 (0.001) Loss 1.0581 (1.3401) Prec@1 77.344 (68.813) Prec@5 89.844 (87.110) Epoch: [87][3000/10010] Time 0.325 (0.328) Data 0.001 (0.001) Loss 1.3413 (1.3402) Prec@1 70.312 (68.808) Prec@5 86.719 (87.107) Epoch: [87][3010/10010] Time 0.337 (0.328) Data 0.001 (0.001) Loss 1.1905 (1.3402) Prec@1 69.531 (68.805) Prec@5 90.625 (87.105) Epoch: [87][3020/10010] Time 0.312 (0.328) Data 0.001 (0.001) Loss 1.3167 (1.3404) Prec@1 65.625 (68.800) Prec@5 89.844 (87.106) Epoch: [87][3030/10010] Time 0.319 (0.328) Data 0.001 (0.001) Loss 1.5121 (1.3407) Prec@1 60.938 (68.794) Prec@5 82.812 (87.102) Epoch: [87][3040/10010] Time 0.335 (0.328) Data 0.000 (0.001) Loss 1.1373 (1.3409) Prec@1 75.781 (68.792) Prec@5 90.625 (87.102) Epoch: [87][3050/10010] Time 0.321 (0.328) Data 0.000 (0.001) Loss 1.4849 (1.3410) Prec@1 69.531 (68.788) Prec@5 85.938 (87.101) Epoch: [87][3060/10010] Time 0.331 (0.328) Data 0.001 (0.001) Loss 1.4339 (1.3412) Prec@1 67.969 (68.782) Prec@5 87.500 (87.096) Epoch: [87][3070/10010] Time 0.320 (0.328) Data 0.000 (0.001) Loss 1.4970 (1.3412) Prec@1 65.625 (68.779) Prec@5 86.719 (87.099) Epoch: [87][3080/10010] Time 0.321 (0.328) Data 0.000 (0.001) Loss 1.5089 (1.3415) Prec@1 66.406 (68.775) Prec@5 87.500 (87.098) Epoch: [87][3090/10010] Time 0.342 (0.328) Data 0.001 (0.001) Loss 1.3590 (1.3414) Prec@1 69.531 (68.781) Prec@5 86.719 (87.098) Epoch: [87][3100/10010] Time 0.323 (0.328) Data 0.001 (0.001) Loss 1.5556 (1.3413) Prec@1 66.406 (68.781) Prec@5 85.156 (87.102) Epoch: [87][3110/10010] Time 0.335 (0.328) Data 0.001 (0.001) Loss 1.2263 (1.3414) Prec@1 74.219 (68.781) Prec@5 89.844 (87.103) Epoch: [87][3120/10010] Time 0.331 (0.328) Data 0.001 (0.001) Loss 1.3279 (1.3415) Prec@1 68.750 (68.782) Prec@5 85.938 (87.101) Epoch: [87][3130/10010] Time 0.321 (0.328) Data 0.001 (0.001) Loss 1.3870 (1.3416) Prec@1 68.750 (68.779) Prec@5 89.062 (87.100) Epoch: [87][3140/10010] Time 0.326 (0.328) Data 0.000 (0.001) Loss 1.3513 (1.3416) Prec@1 67.969 (68.777) Prec@5 88.281 (87.099) Epoch: [87][3150/10010] Time 0.343 (0.328) Data 0.000 (0.001) Loss 1.1553 (1.3414) Prec@1 71.875 (68.785) Prec@5 89.062 (87.103) Epoch: [87][3160/10010] Time 0.319 (0.328) Data 0.001 (0.001) Loss 1.1784 (1.3415) Prec@1 71.875 (68.780) Prec@5 89.844 (87.105) Epoch: [87][3170/10010] Time 0.341 (0.328) Data 0.001 (0.001) Loss 1.3351 (1.3414) Prec@1 70.312 (68.779) Prec@5 86.719 (87.108) Epoch: [87][3180/10010] Time 0.335 (0.328) Data 0.001 (0.001) Loss 1.5430 (1.3412) Prec@1 62.500 (68.779) Prec@5 83.594 (87.110) Epoch: [87][3190/10010] Time 0.341 (0.328) Data 0.000 (0.001) Loss 1.3024 (1.3412) Prec@1 69.531 (68.783) Prec@5 91.406 (87.111) Epoch: [87][3200/10010] Time 0.336 (0.328) Data 0.001 (0.001) Loss 1.4918 (1.3412) Prec@1 67.969 (68.781) Prec@5 85.156 (87.114) Epoch: [87][3210/10010] Time 0.323 (0.328) Data 0.001 (0.001) Loss 1.4120 (1.3411) Prec@1 71.875 (68.783) Prec@5 85.156 (87.118) Epoch: [87][3220/10010] Time 0.334 (0.328) Data 0.001 (0.001) Loss 1.3526 (1.3413) Prec@1 71.094 (68.778) Prec@5 86.719 (87.116) Epoch: [87][3230/10010] Time 0.336 (0.328) Data 0.001 (0.001) Loss 1.6628 (1.3413) Prec@1 59.375 (68.774) Prec@5 82.031 (87.115) Epoch: [87][3240/10010] Time 0.340 (0.328) Data 0.000 (0.001) Loss 1.5070 (1.3412) Prec@1 65.625 (68.775) Prec@5 82.812 (87.117) Epoch: [87][3250/10010] Time 0.315 (0.328) Data 0.001 (0.001) Loss 1.3592 (1.3412) Prec@1 71.094 (68.771) Prec@5 89.062 (87.119) Epoch: [87][3260/10010] Time 0.319 (0.328) Data 0.001 (0.001) Loss 1.7104 (1.3413) Prec@1 62.500 (68.771) Prec@5 80.469 (87.116) /data/vision/torralba/deepscene/lib/anaconda2/lib/python2.7/site-packages/PIL/TiffImagePlugin.py:692: UserWarning: Possibly corrupt EXIF data. Expecting to read 2555904 bytes but only got 0. Skipping tag 0 "Skipping tag %s" % (size, len(data), tag)) Epoch: [87][3270/10010] Time 0.328 (0.328) Data 0.001 (0.001) Loss 1.5220 (1.3412) Prec@1 65.625 (68.774) Prec@5 82.812 (87.117) Epoch: [87][3280/10010] Time 0.323 (0.328) Data 0.000 (0.001) Loss 1.2388 (1.3412) Prec@1 68.750 (68.769) Prec@5 88.281 (87.120) Epoch: [87][3290/10010] Time 0.336 (0.328) Data 0.001 (0.001) Loss 1.2127 (1.3412) Prec@1 70.312 (68.768) Prec@5 88.281 (87.118) Epoch: [87][3300/10010] Time 0.318 (0.328) Data 0.001 (0.001) Loss 1.3985 (1.3412) Prec@1 65.625 (68.770) Prec@5 84.375 (87.118) Epoch: [87][3310/10010] Time 0.316 (0.328) Data 0.001 (0.001) Loss 1.4944 (1.3412) Prec@1 64.062 (68.766) Prec@5 82.812 (87.118) Epoch: [87][3320/10010] Time 0.319 (0.328) Data 0.001 (0.001) Loss 1.3751 (1.3411) Prec@1 67.188 (68.769) Prec@5 87.500 (87.120) Epoch: [87][3330/10010] Time 0.338 (0.328) Data 0.001 (0.001) Loss 1.3621 (1.3409) Prec@1 67.969 (68.771) Prec@5 86.719 (87.126) Epoch: [87][3340/10010] Time 0.340 (0.328) Data 0.001 (0.001) Loss 1.4886 (1.3410) Prec@1 65.625 (68.768) Prec@5 87.500 (87.125) Epoch: [87][3350/10010] Time 0.317 (0.328) Data 0.001 (0.001) Loss 1.8014 (1.3411) Prec@1 57.812 (68.767) Prec@5 82.031 (87.124) Epoch: [87][3360/10010] Time 0.337 (0.328) Data 0.001 (0.001) Loss 1.2363 (1.3409) Prec@1 70.312 (68.767) Prec@5 85.156 (87.125) Epoch: [87][3370/10010] Time 0.324 (0.328) Data 0.001 (0.001) Loss 1.2669 (1.3406) Prec@1 73.438 (68.771) Prec@5 87.500 (87.128) Epoch: [87][3380/10010] Time 0.315 (0.328) Data 0.001 (0.001) Loss 1.5064 (1.3408) Prec@1 62.500 (68.768) Prec@5 85.938 (87.126) Epoch: [87][3390/10010] Time 0.337 (0.328) Data 0.001 (0.001) Loss 1.3630 (1.3407) Prec@1 61.719 (68.767) Prec@5 85.938 (87.127) Epoch: [87][3400/10010] Time 0.337 (0.328) Data 0.000 (0.001) Loss 1.2608 (1.3405) Prec@1 69.531 (68.770) Prec@5 88.281 (87.130) Epoch: [87][3410/10010] Time 0.322 (0.328) Data 0.001 (0.001) Loss 1.1670 (1.3404) Prec@1 73.438 (68.771) Prec@5 88.281 (87.131) Epoch: [87][3420/10010] Time 0.338 (0.328) Data 0.000 (0.001) Loss 1.0924 (1.3401) Prec@1 73.438 (68.777) Prec@5 89.844 (87.136) Epoch: [87][3430/10010] Time 0.323 (0.328) Data 0.000 (0.001) Loss 1.6043 (1.3404) Prec@1 60.938 (68.767) Prec@5 84.375 (87.130) Epoch: [87][3440/10010] Time 0.334 (0.328) Data 0.001 (0.001) Loss 1.3189 (1.3405) Prec@1 71.875 (68.770) Prec@5 89.062 (87.127) /data/vision/torralba/deepscene/lib/anaconda2/lib/python2.7/site-packages/PIL/TiffImagePlugin.py:692: UserWarning: Possibly corrupt EXIF data. Expecting to read 2555904 bytes but only got 0. Skipping tag 0 "Skipping tag %s" % (size, len(data), tag)) Epoch: [87][3450/10010] Time 0.325 (0.328) Data 0.001 (0.001) Loss 1.1561 (1.3404) Prec@1 71.875 (68.770) Prec@5 89.062 (87.129) Epoch: [87][3460/10010] Time 0.330 (0.328) Data 0.000 (0.001) Loss 1.4725 (1.3403) Prec@1 69.531 (68.768) Prec@5 83.594 (87.129) Epoch: [87][3470/10010] Time 0.315 (0.328) Data 0.000 (0.001) Loss 1.3059 (1.3403) Prec@1 74.219 (68.773) Prec@5 87.500 (87.127) Epoch: [87][3480/10010] Time 0.337 (0.328) Data 0.001 (0.001) Loss 1.2903 (1.3402) Prec@1 75.000 (68.777) Prec@5 85.156 (87.129) Epoch: [87][3490/10010] Time 0.335 (0.328) Data 0.001 (0.001) Loss 1.2120 (1.3399) Prec@1 68.750 (68.781) Prec@5 88.281 (87.133) Epoch: [87][3500/10010] Time 0.321 (0.328) Data 0.001 (0.001) Loss 1.4203 (1.3400) Prec@1 71.094 (68.782) Prec@5 86.719 (87.131) Epoch: [87][3510/10010] Time 0.325 (0.328) Data 0.001 (0.001) Loss 1.0723 (1.3400) Prec@1 72.656 (68.782) Prec@5 91.406 (87.132) Epoch: [87][3520/10010] Time 0.341 (0.328) Data 0.000 (0.001) Loss 1.1203 (1.3400) Prec@1 71.875 (68.781) Prec@5 92.188 (87.135) Epoch: [87][3530/10010] Time 0.329 (0.328) Data 0.001 (0.001) Loss 1.3423 (1.3400) Prec@1 67.969 (68.775) Prec@5 88.281 (87.133) Epoch: [87][3540/10010] Time 0.320 (0.328) Data 0.001 (0.001) Loss 1.3059 (1.3401) Prec@1 67.188 (68.773) Prec@5 89.062 (87.134) Epoch: [87][3550/10010] Time 0.320 (0.328) Data 0.000 (0.001) Loss 1.1104 (1.3402) Prec@1 71.094 (68.770) Prec@5 92.188 (87.131) Epoch: [87][3560/10010] Time 0.337 (0.328) Data 0.000 (0.001) Loss 0.9503 (1.3399) Prec@1 76.562 (68.775) Prec@5 92.188 (87.134) Epoch: [87][3570/10010] Time 0.325 (0.328) Data 0.001 (0.001) Loss 1.5370 (1.3400) Prec@1 64.062 (68.772) Prec@5 85.156 (87.134) Epoch: [87][3580/10010] Time 0.320 (0.328) Data 0.000 (0.001) Loss 1.1342 (1.3398) Prec@1 71.094 (68.772) Prec@5 89.062 (87.135) Epoch: [87][3590/10010] Time 0.311 (0.328) Data 0.000 (0.001) Loss 1.3836 (1.3397) Prec@1 67.188 (68.776) Prec@5 87.500 (87.139) Epoch: [87][3600/10010] Time 0.322 (0.328) Data 0.000 (0.001) Loss 1.6902 (1.3398) Prec@1 58.594 (68.774) Prec@5 83.594 (87.139) Epoch: [87][3610/10010] Time 0.319 (0.328) Data 0.001 (0.001) Loss 1.3340 (1.3397) Prec@1 68.750 (68.778) Prec@5 85.156 (87.138) Epoch: [87][3620/10010] Time 0.319 (0.328) Data 0.001 (0.001) Loss 1.5060 (1.3398) Prec@1 65.625 (68.780) Prec@5 86.719 (87.137) Epoch: [87][3630/10010] Time 0.333 (0.328) Data 0.001 (0.001) Loss 1.3538 (1.3397) Prec@1 71.094 (68.779) Prec@5 87.500 (87.138) Epoch: [87][3640/10010] Time 0.312 (0.328) Data 0.000 (0.001) Loss 1.0004 (1.3395) Prec@1 75.781 (68.782) Prec@5 93.750 (87.139) Epoch: [87][3650/10010] Time 0.324 (0.328) Data 0.000 (0.001) Loss 1.3828 (1.3393) Prec@1 67.969 (68.784) Prec@5 83.594 (87.139) Epoch: [87][3660/10010] Time 0.314 (0.328) Data 0.001 (0.001) Loss 1.4116 (1.3392) Prec@1 71.875 (68.787) Prec@5 87.500 (87.142) Epoch: [87][3670/10010] Time 0.327 (0.328) Data 0.001 (0.001) Loss 0.9832 (1.3390) Prec@1 78.125 (68.793) Prec@5 93.750 (87.146) Epoch: [87][3680/10010] Time 0.339 (0.328) Data 0.000 (0.001) Loss 1.2289 (1.3388) Prec@1 69.531 (68.802) Prec@5 85.938 (87.147) Epoch: [87][3690/10010] Time 0.325 (0.328) Data 0.001 (0.001) Loss 1.4535 (1.3389) Prec@1 67.969 (68.802) Prec@5 87.500 (87.146) Epoch: [87][3700/10010] Time 0.340 (0.328) Data 0.001 (0.001) Loss 1.2036 (1.3388) Prec@1 71.094 (68.804) Prec@5 89.844 (87.148) Epoch: [87][3710/10010] Time 0.319 (0.328) Data 0.001 (0.001) Loss 1.4760 (1.3391) Prec@1 62.500 (68.802) Prec@5 85.156 (87.143) Epoch: [87][3720/10010] Time 0.320 (0.328) Data 0.001 (0.001) Loss 1.3327 (1.3391) Prec@1 64.062 (68.799) Prec@5 89.062 (87.144) Epoch: [87][3730/10010] Time 0.332 (0.328) Data 0.001 (0.001) Loss 1.2378 (1.3392) Prec@1 68.750 (68.798) Prec@5 86.719 (87.139) Epoch: [87][3740/10010] Time 0.320 (0.328) Data 0.001 (0.001) Loss 1.2726 (1.3392) Prec@1 68.750 (68.797) Prec@5 86.719 (87.140) Epoch: [87][3750/10010] Time 0.333 (0.328) Data 0.001 (0.001) Loss 1.5776 (1.3392) Prec@1 64.062 (68.800) Prec@5 84.375 (87.139) Epoch: [87][3760/10010] Time 0.327 (0.328) Data 0.000 (0.001) Loss 1.3928 (1.3392) Prec@1 71.094 (68.802) Prec@5 85.938 (87.140) Epoch: [87][3770/10010] Time 0.336 (0.328) Data 0.001 (0.001) Loss 1.1615 (1.3390) Prec@1 68.750 (68.805) Prec@5 89.844 (87.142) Epoch: [87][3780/10010] Time 0.313 (0.328) Data 0.000 (0.001) Loss 1.4818 (1.3392) Prec@1 65.625 (68.803) Prec@5 82.812 (87.141) Epoch: [87][3790/10010] Time 0.314 (0.328) Data 0.000 (0.001) Loss 1.6731 (1.3391) Prec@1 67.188 (68.802) Prec@5 83.594 (87.143) Epoch: [87][3800/10010] Time 0.316 (0.328) Data 0.001 (0.001) Loss 1.2966 (1.3390) Prec@1 67.188 (68.805) Prec@5 89.062 (87.143) Epoch: [87][3810/10010] Time 0.331 (0.328) Data 0.001 (0.001) Loss 1.3034 (1.3389) Prec@1 66.406 (68.805) Prec@5 88.281 (87.148) Epoch: [87][3820/10010] Time 0.341 (0.328) Data 0.001 (0.001) Loss 1.1613 (1.3388) Prec@1 71.875 (68.809) Prec@5 92.188 (87.152) Epoch: [87][3830/10010] Time 0.320 (0.328) Data 0.001 (0.001) Loss 1.1928 (1.3386) Prec@1 76.562 (68.813) Prec@5 88.281 (87.155) Epoch: [87][3840/10010] Time 0.329 (0.328) Data 0.001 (0.001) Loss 1.5213 (1.3386) Prec@1 66.406 (68.814) Prec@5 83.594 (87.156) Epoch: [87][3850/10010] Time 0.319 (0.328) Data 0.000 (0.001) Loss 1.4300 (1.3389) Prec@1 66.406 (68.806) Prec@5 85.156 (87.150) Epoch: [87][3860/10010] Time 0.335 (0.328) Data 0.001 (0.001) Loss 1.3375 (1.3390) Prec@1 66.406 (68.804) Prec@5 88.281 (87.149) Epoch: [87][3870/10010] Time 0.334 (0.328) Data 0.001 (0.001) Loss 1.5329 (1.3391) Prec@1 63.281 (68.804) Prec@5 84.375 (87.149) Epoch: [87][3880/10010] Time 0.323 (0.328) Data 0.001 (0.001) Loss 1.3892 (1.3388) Prec@1 68.750 (68.810) Prec@5 85.938 (87.153) Epoch: [87][3890/10010] Time 0.335 (0.328) Data 0.001 (0.001) Loss 1.2841 (1.3387) Prec@1 69.531 (68.811) Prec@5 86.719 (87.152) Epoch: [87][3900/10010] Time 0.322 (0.328) Data 0.001 (0.001) Loss 1.2990 (1.3388) Prec@1 71.094 (68.808) Prec@5 88.281 (87.152) Epoch: [87][3910/10010] Time 0.324 (0.328) Data 0.000 (0.001) Loss 0.9918 (1.3387) Prec@1 72.656 (68.808) Prec@5 92.188 (87.154) Epoch: [87][3920/10010] Time 0.340 (0.328) Data 0.000 (0.001) Loss 1.0785 (1.3387) Prec@1 80.469 (68.810) Prec@5 92.969 (87.157) Epoch: [87][3930/10010] Time 0.325 (0.328) Data 0.001 (0.001) Loss 1.1792 (1.3387) Prec@1 72.656 (68.806) Prec@5 90.625 (87.157) Epoch: [87][3940/10010] Time 0.335 (0.328) Data 0.001 (0.001) Loss 1.4115 (1.3388) Prec@1 67.188 (68.804) Prec@5 87.500 (87.160) Epoch: [87][3950/10010] Time 0.319 (0.328) Data 0.001 (0.001) Loss 1.2657 (1.3389) Prec@1 68.750 (68.805) Prec@5 89.062 (87.159) Epoch: [87][3960/10010] Time 0.322 (0.328) Data 0.000 (0.001) Loss 1.0231 (1.3389) Prec@1 75.781 (68.808) Prec@5 92.188 (87.159) Epoch: [87][3970/10010] Time 0.318 (0.328) Data 0.001 (0.001) Loss 1.4842 (1.3387) Prec@1 67.188 (68.808) Prec@5 86.719 (87.162) Epoch: [87][3980/10010] Time 0.317 (0.328) Data 0.001 (0.001) Loss 1.1565 (1.3387) Prec@1 69.531 (68.808) Prec@5 86.719 (87.158) Epoch: [87][3990/10010] Time 0.316 (0.328) Data 0.001 (0.001) Loss 1.5282 (1.3388) Prec@1 60.156 (68.805) Prec@5 80.469 (87.154) Epoch: [87][4000/10010] Time 0.318 (0.328) Data 0.001 (0.001) Loss 1.3487 (1.3388) Prec@1 69.531 (68.806) Prec@5 85.156 (87.153) Epoch: [87][4010/10010] Time 0.312 (0.328) Data 0.001 (0.001) Loss 1.2629 (1.3387) Prec@1 69.531 (68.810) Prec@5 87.500 (87.156) Epoch: [87][4020/10010] Time 0.326 (0.328) Data 0.001 (0.001) Loss 1.4342 (1.3386) Prec@1 64.062 (68.812) Prec@5 85.156 (87.155) Epoch: [87][4030/10010] Time 0.332 (0.328) Data 0.001 (0.001) Loss 1.5949 (1.3387) Prec@1 60.156 (68.813) Prec@5 82.031 (87.156) Epoch: [87][4040/10010] Time 0.324 (0.328) Data 0.001 (0.001) Loss 1.1508 (1.3385) Prec@1 72.656 (68.815) Prec@5 89.062 (87.159) Epoch: [87][4050/10010] Time 0.335 (0.328) Data 0.001 (0.001) Loss 1.3386 (1.3382) Prec@1 69.531 (68.825) Prec@5 86.719 (87.163) Epoch: [87][4060/10010] Time 0.316 (0.328) Data 0.001 (0.001) Loss 1.5432 (1.3383) Prec@1 60.938 (68.823) Prec@5 83.594 (87.160) Epoch: [87][4070/10010] Time 0.333 (0.328) Data 0.001 (0.001) Loss 1.1886 (1.3381) Prec@1 71.094 (68.824) Prec@5 89.062 (87.162) Epoch: [87][4080/10010] Time 0.317 (0.328) Data 0.001 (0.001) Loss 1.4237 (1.3381) Prec@1 70.312 (68.824) Prec@5 86.719 (87.163) Epoch: [87][4090/10010] Time 0.333 (0.328) Data 0.000 (0.001) Loss 1.1571 (1.3380) Prec@1 74.219 (68.828) Prec@5 90.625 (87.165) Epoch: [87][4100/10010] Time 0.320 (0.328) Data 0.001 (0.001) Loss 1.3281 (1.3379) Prec@1 71.875 (68.829) Prec@5 88.281 (87.169) Epoch: [87][4110/10010] Time 0.329 (0.328) Data 0.001 (0.001) Loss 1.3853 (1.3379) Prec@1 67.969 (68.829) Prec@5 83.594 (87.168) Epoch: [87][4120/10010] Time 0.327 (0.328) Data 0.000 (0.001) Loss 1.4811 (1.3379) Prec@1 68.750 (68.830) Prec@5 86.719 (87.168) Epoch: [87][4130/10010] Time 0.340 (0.328) Data 0.001 (0.001) Loss 1.4908 (1.3377) Prec@1 60.938 (68.830) Prec@5 83.594 (87.171) Epoch: [87][4140/10010] Time 0.340 (0.328) Data 0.000 (0.001) Loss 1.0424 (1.3379) Prec@1 78.125 (68.825) Prec@5 89.062 (87.171) Epoch: [87][4150/10010] Time 0.323 (0.328) Data 0.000 (0.001) Loss 1.2846 (1.3381) Prec@1 69.531 (68.819) Prec@5 90.625 (87.169) Epoch: [87][4160/10010] Time 0.325 (0.328) Data 0.000 (0.001) Loss 1.5713 (1.3381) Prec@1 61.719 (68.819) Prec@5 85.938 (87.171) Epoch: [87][4170/10010] Time 0.328 (0.328) Data 0.000 (0.001) Loss 1.2198 (1.3382) Prec@1 67.969 (68.818) Prec@5 89.062 (87.170) Epoch: [87][4180/10010] Time 0.328 (0.328) Data 0.001 (0.001) Loss 1.3845 (1.3381) Prec@1 71.094 (68.820) Prec@5 86.719 (87.170) Epoch: [87][4190/10010] Time 0.323 (0.328) Data 0.000 (0.001) Loss 1.4607 (1.3380) Prec@1 65.625 (68.823) Prec@5 85.938 (87.176) Epoch: [87][4200/10010] Time 0.317 (0.328) Data 0.000 (0.001) Loss 1.6621 (1.3381) Prec@1 57.812 (68.818) Prec@5 83.594 (87.174) Epoch: [87][4210/10010] Time 0.341 (0.328) Data 0.001 (0.001) Loss 1.4186 (1.3382) Prec@1 63.281 (68.815) Prec@5 84.375 (87.171) Epoch: [87][4220/10010] Time 0.327 (0.328) Data 0.001 (0.001) Loss 1.3252 (1.3384) Prec@1 70.312 (68.810) Prec@5 82.812 (87.165) Epoch: [87][4230/10010] Time 0.317 (0.328) Data 0.001 (0.001) Loss 1.3678 (1.3383) Prec@1 71.094 (68.813) Prec@5 89.062 (87.168) Epoch: [87][4240/10010] Time 0.321 (0.328) Data 0.001 (0.001) Loss 1.3558 (1.3383) Prec@1 66.406 (68.815) Prec@5 85.938 (87.169) Epoch: [87][4250/10010] Time 0.328 (0.328) Data 0.001 (0.001) Loss 1.0546 (1.3384) Prec@1 77.344 (68.816) Prec@5 92.969 (87.167) Epoch: [87][4260/10010] Time 0.313 (0.328) Data 0.001 (0.001) Loss 1.4730 (1.3385) Prec@1 61.719 (68.813) Prec@5 89.062 (87.164) Epoch: [87][4270/10010] Time 0.342 (0.328) Data 0.000 (0.001) Loss 1.2137 (1.3384) Prec@1 68.750 (68.812) Prec@5 86.719 (87.166) Epoch: [87][4280/10010] Time 0.333 (0.328) Data 0.000 (0.001) Loss 1.2175 (1.3384) Prec@1 71.094 (68.816) Prec@5 89.844 (87.169) Epoch: [87][4290/10010] Time 0.321 (0.328) Data 0.000 (0.001) Loss 1.3070 (1.3383) Prec@1 71.094 (68.819) Prec@5 87.500 (87.172) Epoch: [87][4300/10010] Time 0.328 (0.328) Data 0.001 (0.001) Loss 1.5091 (1.3383) Prec@1 64.844 (68.819) Prec@5 85.938 (87.174) Epoch: [87][4310/10010] Time 0.340 (0.328) Data 0.000 (0.001) Loss 1.4053 (1.3384) Prec@1 70.312 (68.815) Prec@5 86.719 (87.172) Epoch: [87][4320/10010] Time 0.312 (0.328) Data 0.001 (0.001) Loss 1.1501 (1.3385) Prec@1 74.219 (68.811) Prec@5 90.625 (87.170) Epoch: [87][4330/10010] Time 0.338 (0.328) Data 0.000 (0.001) Loss 1.2112 (1.3385) Prec@1 64.844 (68.813) Prec@5 91.406 (87.171) Epoch: [87][4340/10010] Time 0.317 (0.328) Data 0.001 (0.001) Loss 1.6388 (1.3384) Prec@1 65.625 (68.814) Prec@5 83.594 (87.173) Epoch: [87][4350/10010] Time 0.336 (0.328) Data 0.001 (0.001) Loss 1.5940 (1.3387) Prec@1 60.938 (68.808) Prec@5 81.250 (87.169) Epoch: [87][4360/10010] Time 0.324 (0.328) Data 0.001 (0.001) Loss 1.4844 (1.3388) Prec@1 65.625 (68.806) Prec@5 84.375 (87.166) Epoch: [87][4370/10010] Time 0.340 (0.328) Data 0.000 (0.001) Loss 1.3914 (1.3390) Prec@1 74.219 (68.805) Prec@5 85.156 (87.162) Epoch: [87][4380/10010] Time 0.340 (0.328) Data 0.001 (0.001) Loss 1.5226 (1.3390) Prec@1 68.750 (68.807) Prec@5 81.250 (87.160) Epoch: [87][4390/10010] Time 0.336 (0.328) Data 0.001 (0.001) Loss 1.2583 (1.3390) Prec@1 72.656 (68.805) Prec@5 90.625 (87.160) Epoch: [87][4400/10010] Time 0.315 (0.328) Data 0.000 (0.001) Loss 1.3485 (1.3390) Prec@1 69.531 (68.805) Prec@5 87.500 (87.159) Epoch: [87][4410/10010] Time 0.319 (0.328) Data 0.000 (0.001) Loss 1.4062 (1.3389) Prec@1 68.750 (68.807) Prec@5 88.281 (87.162) Epoch: [87][4420/10010] Time 0.321 (0.328) Data 0.001 (0.001) Loss 1.3015 (1.3391) Prec@1 68.750 (68.802) Prec@5 88.281 (87.160) Epoch: [87][4430/10010] Time 0.320 (0.328) Data 0.001 (0.001) Loss 1.4813 (1.3390) Prec@1 61.719 (68.806) Prec@5 86.719 (87.160) Epoch: [87][4440/10010] Time 0.332 (0.328) Data 0.001 (0.001) Loss 1.1567 (1.3389) Prec@1 70.312 (68.807) Prec@5 89.062 (87.160) Epoch: [87][4450/10010] Time 0.337 (0.328) Data 0.001 (0.001) Loss 1.6433 (1.3389) Prec@1 64.062 (68.808) Prec@5 83.594 (87.159) Epoch: [87][4460/10010] Time 0.331 (0.328) Data 0.001 (0.001) Loss 1.2106 (1.3390) Prec@1 67.969 (68.808) Prec@5 89.844 (87.157) Epoch: [87][4470/10010] Time 0.323 (0.328) Data 0.000 (0.001) Loss 1.2218 (1.3391) Prec@1 69.531 (68.806) Prec@5 86.719 (87.154) Epoch: [87][4480/10010] Time 0.330 (0.328) Data 0.001 (0.001) Loss 1.4778 (1.3392) Prec@1 67.188 (68.800) Prec@5 87.500 (87.154) Epoch: [87][4490/10010] Time 0.325 (0.328) Data 0.001 (0.001) Loss 1.4779 (1.3391) Prec@1 69.531 (68.803) Prec@5 84.375 (87.155) Epoch: [87][4500/10010] Time 0.319 (0.328) Data 0.000 (0.001) Loss 1.4692 (1.3391) Prec@1 67.188 (68.805) Prec@5 82.812 (87.155) Epoch: [87][4510/10010] Time 0.335 (0.328) Data 0.001 (0.001) Loss 0.9920 (1.3391) Prec@1 74.219 (68.803) Prec@5 92.969 (87.156) Epoch: [87][4520/10010] Time 0.339 (0.328) Data 0.001 (0.001) Loss 1.4698 (1.3393) Prec@1 64.844 (68.799) Prec@5 86.719 (87.153) Epoch: [87][4530/10010] Time 0.342 (0.328) Data 0.000 (0.001) Loss 1.1788 (1.3391) Prec@1 70.312 (68.801) Prec@5 90.625 (87.155) Epoch: [87][4540/10010] Time 0.319 (0.328) Data 0.001 (0.001) Loss 1.3009 (1.3389) Prec@1 70.312 (68.808) Prec@5 87.500 (87.158) Epoch: [87][4550/10010] Time 0.332 (0.328) Data 0.001 (0.001) Loss 1.2001 (1.3388) Prec@1 67.969 (68.809) Prec@5 92.188 (87.160) Epoch: [87][4560/10010] Time 0.317 (0.328) Data 0.001 (0.001) Loss 1.3945 (1.3387) Prec@1 66.406 (68.808) Prec@5 86.719 (87.162) Epoch: [87][4570/10010] Time 0.337 (0.328) Data 0.001 (0.001) Loss 1.1399 (1.3386) Prec@1 71.875 (68.811) Prec@5 90.625 (87.162) Epoch: [87][4580/10010] Time 0.337 (0.328) Data 0.000 (0.001) Loss 1.4487 (1.3387) Prec@1 68.750 (68.810) Prec@5 85.938 (87.160) Epoch: [87][4590/10010] Time 0.314 (0.328) Data 0.000 (0.001) Loss 1.5948 (1.3388) Prec@1 59.375 (68.807) Prec@5 83.594 (87.161) Epoch: [87][4600/10010] Time 0.319 (0.328) Data 0.001 (0.001) Loss 1.3490 (1.3388) Prec@1 68.750 (68.807) Prec@5 86.719 (87.159) Epoch: [87][4610/10010] Time 0.335 (0.328) Data 0.001 (0.001) Loss 1.4438 (1.3389) Prec@1 66.406 (68.804) Prec@5 86.719 (87.157) Epoch: [87][4620/10010] Time 0.333 (0.328) Data 0.000 (0.001) Loss 1.3538 (1.3390) Prec@1 70.312 (68.802) Prec@5 87.500 (87.154) Epoch: [87][4630/10010] Time 0.331 (0.328) Data 0.000 (0.001) Loss 1.2977 (1.3391) Prec@1 70.312 (68.800) Prec@5 89.844 (87.153) Epoch: [87][4640/10010] Time 0.340 (0.328) Data 0.001 (0.001) Loss 1.2804 (1.3389) Prec@1 67.969 (68.802) Prec@5 88.281 (87.157) Epoch: [87][4650/10010] Time 0.330 (0.328) Data 0.000 (0.001) Loss 1.3163 (1.3389) Prec@1 69.531 (68.803) Prec@5 83.594 (87.156) Epoch: [87][4660/10010] Time 0.323 (0.328) Data 0.000 (0.001) Loss 1.1972 (1.3389) Prec@1 69.531 (68.802) Prec@5 86.719 (87.155) Epoch: [87][4670/10010] Time 0.338 (0.328) Data 0.000 (0.001) Loss 1.6127 (1.3392) Prec@1 62.500 (68.796) Prec@5 86.719 (87.152) Epoch: [87][4680/10010] Time 0.318 (0.328) Data 0.000 (0.001) Loss 1.2087 (1.3392) Prec@1 71.875 (68.796) Prec@5 89.062 (87.151) Epoch: [87][4690/10010] Time 0.318 (0.328) Data 0.001 (0.001) Loss 1.1304 (1.3392) Prec@1 68.750 (68.796) Prec@5 92.188 (87.150) Epoch: [87][4700/10010] Time 0.324 (0.328) Data 0.000 (0.001) Loss 1.4378 (1.3392) Prec@1 68.750 (68.797) Prec@5 80.469 (87.150) Epoch: [87][4710/10010] Time 0.322 (0.328) Data 0.000 (0.001) Loss 1.5597 (1.3392) Prec@1 64.062 (68.801) Prec@5 83.594 (87.147) Epoch: [87][4720/10010] Time 0.318 (0.328) Data 0.000 (0.001) Loss 1.3158 (1.3393) Prec@1 68.750 (68.797) Prec@5 87.500 (87.145) Epoch: [87][4730/10010] Time 0.324 (0.328) Data 0.000 (0.001) Loss 1.3200 (1.3395) Prec@1 71.875 (68.794) Prec@5 86.719 (87.143) Epoch: [87][4740/10010] Time 0.329 (0.328) Data 0.001 (0.001) Loss 1.4477 (1.3395) Prec@1 64.062 (68.792) Prec@5 86.719 (87.142) Epoch: [87][4750/10010] Time 0.335 (0.328) Data 0.000 (0.001) Loss 1.7041 (1.3396) Prec@1 61.719 (68.791) Prec@5 82.812 (87.141) Epoch: [87][4760/10010] Time 0.320 (0.328) Data 0.001 (0.001) Loss 1.6496 (1.3396) Prec@1 62.500 (68.790) Prec@5 81.250 (87.141) Epoch: [87][4770/10010] Time 0.336 (0.328) Data 0.001 (0.001) Loss 1.2426 (1.3398) Prec@1 68.750 (68.785) Prec@5 91.406 (87.139) Epoch: [87][4780/10010] Time 0.326 (0.328) Data 0.000 (0.001) Loss 1.1273 (1.3398) Prec@1 75.000 (68.781) Prec@5 89.062 (87.139) Epoch: [87][4790/10010] Time 0.318 (0.328) Data 0.000 (0.001) Loss 1.5429 (1.3400) Prec@1 67.188 (68.782) Prec@5 84.375 (87.138) Epoch: [87][4800/10010] Time 0.337 (0.328) Data 0.001 (0.001) Loss 1.3022 (1.3399) Prec@1 72.656 (68.782) Prec@5 88.281 (87.137) Epoch: [87][4810/10010] Time 0.344 (0.328) Data 0.000 (0.001) Loss 1.2648 (1.3399) Prec@1 67.188 (68.780) Prec@5 85.938 (87.136) Epoch: [87][4820/10010] Time 0.337 (0.328) Data 0.001 (0.001) Loss 1.3924 (1.3398) Prec@1 65.625 (68.781) Prec@5 84.375 (87.134) Epoch: [87][4830/10010] Time 0.319 (0.328) Data 0.001 (0.001) Loss 1.5117 (1.3398) Prec@1 67.969 (68.784) Prec@5 82.812 (87.136) Epoch: [87][4840/10010] Time 0.332 (0.328) Data 0.001 (0.001) Loss 1.3274 (1.3398) Prec@1 68.750 (68.781) Prec@5 85.156 (87.136) Epoch: [87][4850/10010] Time 0.320 (0.328) Data 0.001 (0.001) Loss 1.5456 (1.3399) Prec@1 64.844 (68.780) Prec@5 82.031 (87.136) Epoch: [87][4860/10010] Time 0.325 (0.328) Data 0.000 (0.001) Loss 1.1814 (1.3398) Prec@1 73.438 (68.781) Prec@5 89.844 (87.136) Epoch: [87][4870/10010] Time 0.321 (0.328) Data 0.001 (0.001) Loss 1.3133 (1.3399) Prec@1 71.875 (68.779) Prec@5 85.938 (87.134) Epoch: [87][4880/10010] Time 0.319 (0.328) Data 0.001 (0.001) Loss 1.4621 (1.3399) Prec@1 64.062 (68.778) Prec@5 84.375 (87.133) Epoch: [87][4890/10010] Time 0.330 (0.328) Data 0.001 (0.001) Loss 1.6914 (1.3400) Prec@1 60.938 (68.776) Prec@5 82.031 (87.131) Epoch: [87][4900/10010] Time 0.314 (0.328) Data 0.001 (0.001) Loss 1.6436 (1.3400) Prec@1 66.406 (68.775) Prec@5 80.469 (87.131) Epoch: [87][4910/10010] Time 0.315 (0.328) Data 0.001 (0.001) Loss 1.2575 (1.3398) Prec@1 71.094 (68.779) Prec@5 89.062 (87.134) Epoch: [87][4920/10010] Time 0.333 (0.328) Data 0.001 (0.001) Loss 1.3242 (1.3400) Prec@1 69.531 (68.775) Prec@5 85.938 (87.133) Epoch: [87][4930/10010] Time 0.333 (0.328) Data 0.001 (0.001) Loss 1.4320 (1.3400) Prec@1 65.625 (68.771) Prec@5 85.156 (87.131) Epoch: [87][4940/10010] Time 0.311 (0.328) Data 0.001 (0.001) Loss 1.3366 (1.3401) Prec@1 71.094 (68.771) Prec@5 84.375 (87.130) Epoch: [87][4950/10010] Time 0.317 (0.328) Data 0.001 (0.001) Loss 1.1681 (1.3402) Prec@1 71.875 (68.768) Prec@5 91.406 (87.129) Epoch: [87][4960/10010] Time 0.319 (0.328) Data 0.001 (0.001) Loss 1.1518 (1.3403) Prec@1 75.000 (68.768) Prec@5 91.406 (87.127) Epoch: [87][4970/10010] Time 0.331 (0.328) Data 0.001 (0.001) Loss 1.1484 (1.3403) Prec@1 75.000 (68.766) Prec@5 91.406 (87.128) Epoch: [87][4980/10010] Time 0.337 (0.328) Data 0.001 (0.001) Loss 1.1062 (1.3403) Prec@1 72.656 (68.763) Prec@5 89.844 (87.130) Epoch: [87][4990/10010] Time 0.317 (0.328) Data 0.001 (0.001) Loss 1.5084 (1.3402) Prec@1 65.625 (68.765) Prec@5 85.938 (87.133) Epoch: [87][5000/10010] Time 0.320 (0.328) Data 0.001 (0.001) Loss 1.0714 (1.3403) Prec@1 75.781 (68.765) Prec@5 89.062 (87.130) Epoch: [87][5010/10010] Time 0.318 (0.328) Data 0.001 (0.001) Loss 1.0797 (1.3403) Prec@1 74.219 (68.767) Prec@5 87.500 (87.131) Epoch: [87][5020/10010] Time 0.333 (0.328) Data 0.000 (0.001) Loss 1.2083 (1.3402) Prec@1 71.875 (68.770) Prec@5 89.062 (87.131) Epoch: [87][5030/10010] Time 0.326 (0.328) Data 0.001 (0.001) Loss 1.2536 (1.3401) Prec@1 68.750 (68.771) Prec@5 88.281 (87.132) Epoch: [87][5040/10010] Time 0.340 (0.328) Data 0.000 (0.001) Loss 1.2564 (1.3402) Prec@1 69.531 (68.768) Prec@5 89.844 (87.131) Epoch: [87][5050/10010] Time 0.339 (0.328) Data 0.001 (0.001) Loss 1.1367 (1.3402) Prec@1 68.750 (68.768) Prec@5 92.188 (87.131) Epoch: [87][5060/10010] Time 0.313 (0.328) Data 0.000 (0.001) Loss 1.1667 (1.3402) Prec@1 68.750 (68.766) Prec@5 90.625 (87.131) Epoch: [87][5070/10010] Time 0.316 (0.328) Data 0.001 (0.001) Loss 1.2239 (1.3403) Prec@1 71.094 (68.767) Prec@5 89.844 (87.131) Epoch: [87][5080/10010] Time 0.328 (0.328) Data 0.001 (0.001) Loss 1.4761 (1.3402) Prec@1 64.844 (68.766) Prec@5 86.719 (87.133) Epoch: [87][5090/10010] Time 0.338 (0.328) Data 0.001 (0.001) Loss 1.1101 (1.3401) Prec@1 75.781 (68.768) Prec@5 89.844 (87.136) Epoch: [87][5100/10010] Time 0.323 (0.328) Data 0.001 (0.001) Loss 1.3978 (1.3401) Prec@1 70.312 (68.769) Prec@5 84.375 (87.134) Epoch: [87][5110/10010] Time 0.323 (0.328) Data 0.001 (0.001) Loss 1.4026 (1.3401) Prec@1 63.281 (68.770) Prec@5 87.500 (87.134) Epoch: [87][5120/10010] Time 0.318 (0.328) Data 0.001 (0.001) Loss 1.4387 (1.3400) Prec@1 65.625 (68.771) Prec@5 85.938 (87.133) Epoch: [87][5130/10010] Time 0.336 (0.328) Data 0.001 (0.001) Loss 1.3425 (1.3402) Prec@1 67.969 (68.769) Prec@5 88.281 (87.132) Epoch: [87][5140/10010] Time 0.324 (0.328) Data 0.001 (0.001) Loss 1.2567 (1.3400) Prec@1 67.969 (68.772) Prec@5 91.406 (87.135) Epoch: [87][5150/10010] Time 0.312 (0.328) Data 0.001 (0.001) Loss 1.3118 (1.3399) Prec@1 64.844 (68.771) Prec@5 86.719 (87.136) Epoch: [87][5160/10010] Time 0.332 (0.328) Data 0.000 (0.001) Loss 1.4586 (1.3399) Prec@1 67.188 (68.772) Prec@5 85.156 (87.137) Epoch: [87][5170/10010] Time 0.322 (0.328) Data 0.000 (0.001) Loss 1.3377 (1.3400) Prec@1 69.531 (68.768) Prec@5 89.062 (87.136) Epoch: [87][5180/10010] Time 0.333 (0.328) Data 0.001 (0.001) Loss 1.2173 (1.3400) Prec@1 71.875 (68.769) Prec@5 89.844 (87.137) Epoch: [87][5190/10010] Time 0.333 (0.328) Data 0.001 (0.001) Loss 1.5556 (1.3400) Prec@1 65.625 (68.768) Prec@5 84.375 (87.138) Epoch: [87][5200/10010] Time 0.338 (0.328) Data 0.001 (0.001) Loss 1.2006 (1.3399) Prec@1 66.406 (68.769) Prec@5 89.844 (87.141) Epoch: [87][5210/10010] Time 0.317 (0.328) Data 0.001 (0.001) Loss 1.1014 (1.3399) Prec@1 74.219 (68.770) Prec@5 89.062 (87.141) Epoch: [87][5220/10010] Time 0.336 (0.328) Data 0.000 (0.001) Loss 1.2979 (1.3399) Prec@1 72.656 (68.769) Prec@5 88.281 (87.140) Epoch: [87][5230/10010] Time 0.335 (0.328) Data 0.001 (0.001) Loss 1.4077 (1.3400) Prec@1 66.406 (68.768) Prec@5 89.062 (87.138) Epoch: [87][5240/10010] Time 0.315 (0.328) Data 0.001 (0.001) Loss 1.3792 (1.3400) Prec@1 71.094 (68.768) Prec@5 86.719 (87.137) Epoch: [87][5250/10010] Time 0.341 (0.328) Data 0.000 (0.001) Loss 1.3901 (1.3401) Prec@1 70.312 (68.770) Prec@5 84.375 (87.134) Epoch: [87][5260/10010] Time 0.316 (0.328) Data 0.001 (0.001) Loss 1.4403 (1.3401) Prec@1 66.406 (68.772) Prec@5 84.375 (87.134) Epoch: [87][5270/10010] Time 0.333 (0.328) Data 0.000 (0.001) Loss 1.4771 (1.3401) Prec@1 69.531 (68.773) Prec@5 87.500 (87.133) Epoch: [87][5280/10010] Time 0.323 (0.328) Data 0.000 (0.001) Loss 1.2715 (1.3400) Prec@1 70.312 (68.776) Prec@5 87.500 (87.134) Epoch: [87][5290/10010] Time 0.318 (0.328) Data 0.000 (0.001) Loss 1.3599 (1.3399) Prec@1 67.969 (68.777) Prec@5 87.500 (87.135) Epoch: [87][5300/10010] Time 0.329 (0.328) Data 0.000 (0.001) Loss 1.5958 (1.3402) Prec@1 65.625 (68.771) Prec@5 82.031 (87.133) Epoch: [87][5310/10010] Time 0.315 (0.328) Data 0.001 (0.001) Loss 1.2714 (1.3402) Prec@1 69.531 (68.766) Prec@5 88.281 (87.133) Epoch: [87][5320/10010] Time 0.331 (0.328) Data 0.001 (0.001) Loss 1.5168 (1.3402) Prec@1 64.844 (68.767) Prec@5 85.938 (87.132) Epoch: [87][5330/10010] Time 0.328 (0.328) Data 0.001 (0.001) Loss 1.2926 (1.3402) Prec@1 70.312 (68.766) Prec@5 90.625 (87.131) Epoch: [87][5340/10010] Time 0.328 (0.328) Data 0.000 (0.001) Loss 1.5068 (1.3404) Prec@1 65.625 (68.764) Prec@5 83.594 (87.130) Epoch: [87][5350/10010] Time 0.340 (0.328) Data 0.001 (0.001) Loss 1.4550 (1.3404) Prec@1 69.531 (68.768) Prec@5 84.375 (87.131) Epoch: [87][5360/10010] Time 0.336 (0.328) Data 0.001 (0.001) Loss 1.4568 (1.3403) Prec@1 64.062 (68.769) Prec@5 85.938 (87.133) Epoch: [87][5370/10010] Time 0.321 (0.328) Data 0.001 (0.001) Loss 1.5500 (1.3404) Prec@1 67.188 (68.766) Prec@5 82.031 (87.130) Epoch: [87][5380/10010] Time 0.317 (0.328) Data 0.001 (0.001) Loss 1.4279 (1.3404) Prec@1 63.281 (68.767) Prec@5 89.062 (87.129) Epoch: [87][5390/10010] Time 0.344 (0.328) Data 0.001 (0.001) Loss 1.4839 (1.3404) Prec@1 70.312 (68.768) Prec@5 87.500 (87.129) Epoch: [87][5400/10010] Time 0.313 (0.328) Data 0.000 (0.001) Loss 1.5172 (1.3403) Prec@1 68.750 (68.770) Prec@5 84.375 (87.131) Epoch: [87][5410/10010] Time 0.334 (0.328) Data 0.001 (0.001) Loss 1.8319 (1.3403) Prec@1 60.938 (68.770) Prec@5 77.344 (87.131) Epoch: [87][5420/10010] Time 0.339 (0.328) Data 0.001 (0.001) Loss 1.5019 (1.3405) Prec@1 64.844 (68.766) Prec@5 85.938 (87.128) Epoch: [87][5430/10010] Time 0.338 (0.328) Data 0.001 (0.001) Loss 1.0551 (1.3405) Prec@1 73.438 (68.766) Prec@5 90.625 (87.128) Epoch: [87][5440/10010] Time 0.332 (0.328) Data 0.001 (0.001) Loss 1.4134 (1.3407) Prec@1 67.188 (68.763) Prec@5 87.500 (87.126) Epoch: [87][5450/10010] Time 0.320 (0.328) Data 0.001 (0.001) Loss 1.5095 (1.3406) Prec@1 64.844 (68.765) Prec@5 85.156 (87.128) Epoch: [87][5460/10010] Time 0.333 (0.328) Data 0.000 (0.001) Loss 1.6657 (1.3405) Prec@1 61.719 (68.768) Prec@5 82.812 (87.130) Epoch: [87][5470/10010] Time 0.314 (0.328) Data 0.000 (0.001) Loss 1.1786 (1.3404) Prec@1 69.531 (68.770) Prec@5 89.062 (87.130) Epoch: [87][5480/10010] Time 0.335 (0.328) Data 0.001 (0.001) Loss 1.4367 (1.3404) Prec@1 66.406 (68.770) Prec@5 84.375 (87.129) Epoch: [87][5490/10010] Time 0.334 (0.328) Data 0.000 (0.001) Loss 1.7207 (1.3407) Prec@1 64.844 (68.768) Prec@5 82.031 (87.127) Epoch: [87][5500/10010] Time 0.325 (0.328) Data 0.000 (0.001) Loss 1.1949 (1.3405) Prec@1 68.750 (68.771) Prec@5 89.844 (87.130) Epoch: [87][5510/10010] Time 0.327 (0.328) Data 0.001 (0.001) Loss 1.1220 (1.3405) Prec@1 78.125 (68.771) Prec@5 91.406 (87.129) Epoch: [87][5520/10010] Time 0.323 (0.328) Data 0.001 (0.001) Loss 1.6136 (1.3406) Prec@1 67.188 (68.770) Prec@5 82.812 (87.126) Epoch: [87][5530/10010] Time 0.338 (0.328) Data 0.001 (0.001) Loss 1.3975 (1.3407) Prec@1 70.312 (68.767) Prec@5 86.719 (87.125) Epoch: [87][5540/10010] Time 0.339 (0.328) Data 0.001 (0.001) Loss 1.5119 (1.3408) Prec@1 69.531 (68.765) Prec@5 83.594 (87.122) Epoch: [87][5550/10010] Time 0.323 (0.328) Data 0.001 (0.001) Loss 1.2351 (1.3408) Prec@1 67.969 (68.765) Prec@5 87.500 (87.122) Epoch: [87][5560/10010] Time 0.342 (0.328) Data 0.000 (0.001) Loss 1.0061 (1.3408) Prec@1 75.781 (68.764) Prec@5 89.844 (87.121) Epoch: [87][5570/10010] Time 0.312 (0.328) Data 0.001 (0.001) Loss 1.1170 (1.3408) Prec@1 75.000 (68.764) Prec@5 91.406 (87.122) Epoch: [87][5580/10010] Time 0.321 (0.328) Data 0.001 (0.001) Loss 1.2399 (1.3408) Prec@1 69.531 (68.762) Prec@5 91.406 (87.122) Epoch: [87][5590/10010] Time 0.328 (0.328) Data 0.000 (0.001) Loss 1.3208 (1.3410) Prec@1 60.938 (68.757) Prec@5 90.625 (87.120) Epoch: [87][5600/10010] Time 0.331 (0.328) Data 0.001 (0.001) Loss 1.5325 (1.3410) Prec@1 64.844 (68.757) Prec@5 82.812 (87.120) Epoch: [87][5610/10010] Time 0.332 (0.328) Data 0.001 (0.001) Loss 1.3345 (1.3409) Prec@1 64.844 (68.758) Prec@5 86.719 (87.122) Epoch: [87][5620/10010] Time 0.331 (0.328) Data 0.001 (0.001) Loss 1.4253 (1.3410) Prec@1 68.750 (68.757) Prec@5 85.938 (87.120) Epoch: [87][5630/10010] Time 0.323 (0.328) Data 0.000 (0.001) Loss 1.5370 (1.3411) Prec@1 65.625 (68.755) Prec@5 82.031 (87.118) Epoch: [87][5640/10010] Time 0.320 (0.328) Data 0.001 (0.001) Loss 1.4149 (1.3411) Prec@1 65.625 (68.753) Prec@5 85.938 (87.117) Epoch: [87][5650/10010] Time 0.329 (0.328) Data 0.000 (0.001) Loss 1.6761 (1.3412) Prec@1 60.156 (68.752) Prec@5 82.031 (87.115) Epoch: [87][5660/10010] Time 0.336 (0.328) Data 0.000 (0.001) Loss 1.5827 (1.3413) Prec@1 69.531 (68.751) Prec@5 81.250 (87.114) Epoch: [87][5670/10010] Time 0.331 (0.328) Data 0.001 (0.001) Loss 1.1753 (1.3411) Prec@1 74.219 (68.757) Prec@5 89.062 (87.117) Epoch: [87][5680/10010] Time 0.318 (0.328) Data 0.001 (0.001) Loss 1.4765 (1.3411) Prec@1 64.062 (68.758) Prec@5 85.938 (87.119) Epoch: [87][5690/10010] Time 0.320 (0.328) Data 0.001 (0.001) Loss 1.4519 (1.3411) Prec@1 62.500 (68.755) Prec@5 88.281 (87.119) Epoch: [87][5700/10010] Time 0.327 (0.328) Data 0.000 (0.001) Loss 1.4125 (1.3411) Prec@1 67.969 (68.753) Prec@5 85.156 (87.119) Epoch: [87][5710/10010] Time 0.322 (0.328) Data 0.001 (0.001) Loss 1.4741 (1.3411) Prec@1 63.281 (68.750) Prec@5 83.594 (87.120) Epoch: [87][5720/10010] Time 0.313 (0.328) Data 0.001 (0.001) Loss 1.5650 (1.3413) Prec@1 64.844 (68.746) Prec@5 80.469 (87.118) Epoch: [87][5730/10010] Time 0.320 (0.328) Data 0.001 (0.001) Loss 1.4093 (1.3414) Prec@1 65.625 (68.743) Prec@5 85.938 (87.118) Epoch: [87][5740/10010] Time 0.325 (0.328) Data 0.001 (0.001) Loss 1.3132 (1.3413) Prec@1 70.312 (68.743) Prec@5 85.156 (87.118) Epoch: [87][5750/10010] Time 0.320 (0.328) Data 0.001 (0.001) Loss 1.4405 (1.3413) Prec@1 64.062 (68.743) Prec@5 87.500 (87.120) Epoch: [87][5760/10010] Time 0.333 (0.328) Data 0.001 (0.001) Loss 1.1979 (1.3414) Prec@1 71.875 (68.743) Prec@5 90.625 (87.118) Epoch: [87][5770/10010] Time 0.326 (0.328) Data 0.001 (0.001) Loss 1.3079 (1.3414) Prec@1 68.750 (68.743) Prec@5 85.938 (87.117) Epoch: [87][5780/10010] Time 0.330 (0.328) Data 0.000 (0.001) Loss 1.3543 (1.3415) Prec@1 67.188 (68.741) Prec@5 84.375 (87.115) Epoch: [87][5790/10010] Time 0.323 (0.328) Data 0.001 (0.001) Loss 1.3218 (1.3416) Prec@1 69.531 (68.740) Prec@5 86.719 (87.114) Epoch: [87][5800/10010] Time 0.313 (0.328) Data 0.001 (0.001) Loss 1.1673 (1.3415) Prec@1 72.656 (68.740) Prec@5 91.406 (87.115) Epoch: [87][5810/10010] Time 0.327 (0.328) Data 0.001 (0.001) Loss 1.5939 (1.3416) Prec@1 65.625 (68.739) Prec@5 85.156 (87.114) Epoch: [87][5820/10010] Time 0.335 (0.328) Data 0.001 (0.001) Loss 1.1362 (1.3416) Prec@1 70.312 (68.739) Prec@5 93.750 (87.114) Epoch: [87][5830/10010] Time 0.321 (0.328) Data 0.001 (0.001) Loss 1.4422 (1.3416) Prec@1 65.625 (68.738) Prec@5 87.500 (87.113) Epoch: [87][5840/10010] Time 0.343 (0.328) Data 0.001 (0.001) Loss 1.6006 (1.3416) Prec@1 62.500 (68.734) Prec@5 82.812 (87.111) Epoch: [87][5850/10010] Time 0.320 (0.328) Data 0.001 (0.001) Loss 1.2705 (1.3417) Prec@1 69.531 (68.733) Prec@5 88.281 (87.112) Epoch: [87][5860/10010] Time 0.338 (0.328) Data 0.000 (0.001) Loss 1.3486 (1.3418) Prec@1 67.188 (68.731) Prec@5 88.281 (87.109) Epoch: [87][5870/10010] Time 0.323 (0.328) Data 0.000 (0.001) Loss 1.6287 (1.3418) Prec@1 67.188 (68.731) Prec@5 83.594 (87.108) Epoch: [87][5880/10010] Time 0.317 (0.328) Data 0.001 (0.001) Loss 1.2665 (1.3418) Prec@1 68.750 (68.732) Prec@5 89.844 (87.109) Epoch: [87][5890/10010] Time 0.344 (0.328) Data 0.001 (0.001) Loss 1.4349 (1.3418) Prec@1 65.625 (68.728) Prec@5 87.500 (87.109) Epoch: [87][5900/10010] Time 0.325 (0.328) Data 0.001 (0.001) Loss 1.4713 (1.3418) Prec@1 67.188 (68.730) Prec@5 82.812 (87.110) Epoch: [87][5910/10010] Time 0.322 (0.328) Data 0.000 (0.001) Loss 1.3914 (1.3417) Prec@1 67.969 (68.731) Prec@5 86.719 (87.111) Epoch: [87][5920/10010] Time 0.340 (0.328) Data 0.001 (0.001) Loss 1.3688 (1.3419) Prec@1 70.312 (68.728) Prec@5 86.719 (87.109) Epoch: [87][5930/10010] Time 0.320 (0.328) Data 0.000 (0.001) Loss 1.4038 (1.3420) Prec@1 65.625 (68.724) Prec@5 87.500 (87.108) Epoch: [87][5940/10010] Time 0.328 (0.328) Data 0.001 (0.001) Loss 1.1820 (1.3421) Prec@1 71.094 (68.722) Prec@5 89.062 (87.108) Epoch: [87][5950/10010] Time 0.330 (0.328) Data 0.000 (0.001) Loss 1.1722 (1.3421) Prec@1 67.969 (68.722) Prec@5 91.406 (87.109) Epoch: [87][5960/10010] Time 0.333 (0.328) Data 0.001 (0.001) Loss 1.3280 (1.3421) Prec@1 71.875 (68.719) Prec@5 88.281 (87.109) Epoch: [87][5970/10010] Time 0.316 (0.328) Data 0.000 (0.001) Loss 1.3418 (1.3421) Prec@1 71.875 (68.720) Prec@5 88.281 (87.110) Epoch: [87][5980/10010] Time 0.331 (0.328) Data 0.000 (0.001) Loss 1.3160 (1.3421) Prec@1 70.312 (68.722) Prec@5 88.281 (87.109) Epoch: [87][5990/10010] Time 0.339 (0.328) Data 0.001 (0.001) Loss 1.0759 (1.3420) Prec@1 73.438 (68.725) Prec@5 90.625 (87.111) Epoch: [87][6000/10010] Time 0.324 (0.328) Data 0.000 (0.001) Loss 1.4713 (1.3421) Prec@1 62.500 (68.722) Prec@5 83.594 (87.111) Epoch: [87][6010/10010] Time 0.320 (0.328) Data 0.000 (0.001) Loss 1.5473 (1.3421) Prec@1 65.625 (68.723) Prec@5 82.812 (87.111) Epoch: [87][6020/10010] Time 0.316 (0.328) Data 0.001 (0.001) Loss 1.2952 (1.3421) Prec@1 73.438 (68.725) Prec@5 85.156 (87.110) Epoch: [87][6030/10010] Time 0.318 (0.328) Data 0.001 (0.001) Loss 1.3530 (1.3421) Prec@1 71.875 (68.724) Prec@5 86.719 (87.110) Epoch: [87][6040/10010] Time 0.321 (0.328) Data 0.000 (0.001) Loss 1.1629 (1.3420) Prec@1 72.656 (68.727) Prec@5 90.625 (87.113) Epoch: [87][6050/10010] Time 0.313 (0.328) Data 0.001 (0.001) Loss 1.4583 (1.3420) Prec@1 60.156 (68.727) Prec@5 85.156 (87.112) /data/vision/torralba/deepscene/lib/anaconda2/lib/python2.7/site-packages/PIL/TiffImagePlugin.py:692: UserWarning: Possibly corrupt EXIF data. Expecting to read 19660800 bytes but only got 0. Skipping tag 0 "Skipping tag %s" % (size, len(data), tag)) /data/vision/torralba/deepscene/lib/anaconda2/lib/python2.7/site-packages/PIL/TiffImagePlugin.py:692: UserWarning: Possibly corrupt EXIF data. Expecting to read 18481152 bytes but only got 0. Skipping tag 0 "Skipping tag %s" % (size, len(data), tag)) /data/vision/torralba/deepscene/lib/anaconda2/lib/python2.7/site-packages/PIL/TiffImagePlugin.py:692: UserWarning: Possibly corrupt EXIF data. Expecting to read 37093376 bytes but only got 0. Skipping tag 0 "Skipping tag %s" % (size, len(data), tag)) /data/vision/torralba/deepscene/lib/anaconda2/lib/python2.7/site-packages/PIL/TiffImagePlugin.py:692: UserWarning: Possibly corrupt EXIF data. Expecting to read 39976960 bytes but only got 0. Skipping tag 0 "Skipping tag %s" % (size, len(data), tag)) /data/vision/torralba/deepscene/lib/anaconda2/lib/python2.7/site-packages/PIL/TiffImagePlugin.py:692: UserWarning: Possibly corrupt EXIF data. Expecting to read 34865152 bytes but only got 0. Skipping tag 0 "Skipping tag %s" % (size, len(data), tag)) /data/vision/torralba/deepscene/lib/anaconda2/lib/python2.7/site-packages/PIL/TiffImagePlugin.py:709: UserWarning: Corrupt EXIF data. Expecting to read 12 bytes but only got 10. warnings.warn(str(msg)) Epoch: [87][6060/10010] Time 0.335 (0.328) Data 0.001 (0.001) Loss 1.2947 (1.3418) Prec@1 74.219 (68.732) Prec@5 89.844 (87.114) Epoch: [87][6070/10010] Time 0.318 (0.328) Data 0.001 (0.001) Loss 1.4434 (1.3419) Prec@1 69.531 (68.732) Prec@5 85.938 (87.113) Epoch: [87][6080/10010] Time 0.333 (0.328) Data 0.001 (0.001) Loss 1.2479 (1.3419) Prec@1 67.969 (68.734) Prec@5 88.281 (87.113) Epoch: [87][6090/10010] Time 0.330 (0.328) Data 0.000 (0.001) Loss 1.3085 (1.3420) Prec@1 65.625 (68.733) Prec@5 85.938 (87.111) Epoch: [87][6100/10010] Time 0.338 (0.328) Data 0.000 (0.001) Loss 1.2372 (1.3419) Prec@1 67.188 (68.733) Prec@5 88.281 (87.113) Epoch: [87][6110/10010] Time 0.333 (0.328) Data 0.001 (0.001) Loss 1.2448 (1.3417) Prec@1 71.875 (68.738) Prec@5 87.500 (87.117) Epoch: [87][6120/10010] Time 0.334 (0.328) Data 0.001 (0.001) Loss 1.1003 (1.3417) Prec@1 74.219 (68.737) Prec@5 91.406 (87.117) Epoch: [87][6130/10010] Time 0.343 (0.328) Data 0.000 (0.001) Loss 1.1049 (1.3415) Prec@1 71.094 (68.738) Prec@5 91.406 (87.119) Epoch: [87][6140/10010] Time 0.340 (0.328) Data 0.001 (0.001) Loss 1.2873 (1.3417) Prec@1 67.188 (68.732) Prec@5 89.844 (87.116) Epoch: [87][6150/10010] Time 0.323 (0.328) Data 0.001 (0.001) Loss 1.3085 (1.3417) Prec@1 68.750 (68.734) Prec@5 86.719 (87.116) Epoch: [87][6160/10010] Time 0.323 (0.328) Data 0.001 (0.001) Loss 1.2603 (1.3417) Prec@1 70.312 (68.733) Prec@5 90.625 (87.115) Epoch: [87][6170/10010] Time 0.330 (0.328) Data 0.001 (0.001) Loss 1.2386 (1.3418) Prec@1 68.750 (68.732) Prec@5 89.062 (87.116) Epoch: [87][6180/10010] Time 0.340 (0.328) Data 0.001 (0.001) Loss 1.3374 (1.3416) Prec@1 64.844 (68.736) Prec@5 85.938 (87.119) Epoch: [87][6190/10010] Time 0.311 (0.328) Data 0.001 (0.001) Loss 1.4558 (1.3416) Prec@1 67.188 (68.737) Prec@5 86.719 (87.120) Epoch: [87][6200/10010] Time 0.341 (0.328) Data 0.001 (0.001) Loss 1.3192 (1.3417) Prec@1 73.438 (68.737) Prec@5 87.500 (87.118) Epoch: [87][6210/10010] Time 0.336 (0.328) Data 0.001 (0.001) Loss 1.2356 (1.3417) Prec@1 71.094 (68.737) Prec@5 89.062 (87.118) Epoch: [87][6220/10010] Time 0.320 (0.328) Data 0.001 (0.001) Loss 1.1990 (1.3418) Prec@1 69.531 (68.736) Prec@5 88.281 (87.117) Epoch: [87][6230/10010] Time 0.317 (0.328) Data 0.000 (0.001) Loss 1.3409 (1.3417) Prec@1 67.969 (68.739) Prec@5 85.938 (87.118) Epoch: [87][6240/10010] Time 0.337 (0.328) Data 0.000 (0.001) Loss 1.1143 (1.3417) Prec@1 71.094 (68.738) Prec@5 91.406 (87.119) Epoch: [87][6250/10010] Time 0.317 (0.328) Data 0.000 (0.001) Loss 1.3750 (1.3417) Prec@1 69.531 (68.739) Prec@5 83.594 (87.119) Epoch: [87][6260/10010] Time 0.313 (0.328) Data 0.001 (0.001) Loss 1.1427 (1.3416) Prec@1 72.656 (68.741) Prec@5 90.625 (87.120) Epoch: [87][6270/10010] Time 0.342 (0.328) Data 0.001 (0.001) Loss 1.0301 (1.3416) Prec@1 73.438 (68.743) Prec@5 92.188 (87.120) Epoch: [87][6280/10010] Time 0.320 (0.328) Data 0.001 (0.001) Loss 1.2605 (1.3415) Prec@1 71.094 (68.745) Prec@5 89.062 (87.121) Epoch: [87][6290/10010] Time 0.323 (0.328) Data 0.001 (0.001) Loss 1.5509 (1.3416) Prec@1 60.156 (68.743) Prec@5 85.156 (87.120) Epoch: [87][6300/10010] Time 0.333 (0.328) Data 0.000 (0.001) Loss 1.5200 (1.3415) Prec@1 64.844 (68.743) Prec@5 83.594 (87.119) Epoch: [87][6310/10010] Time 0.318 (0.328) Data 0.001 (0.001) Loss 1.3584 (1.3416) Prec@1 68.750 (68.742) Prec@5 85.938 (87.117) Epoch: [87][6320/10010] Time 0.320 (0.328) Data 0.001 (0.001) Loss 1.1943 (1.3415) Prec@1 71.875 (68.745) Prec@5 89.062 (87.118) Epoch: [87][6330/10010] Time 0.318 (0.328) Data 0.001 (0.001) Loss 1.3071 (1.3415) Prec@1 69.531 (68.744) Prec@5 86.719 (87.117) Epoch: [87][6340/10010] Time 0.318 (0.328) Data 0.001 (0.001) Loss 1.5753 (1.3415) Prec@1 64.062 (68.745) Prec@5 85.156 (87.116) Epoch: [87][6350/10010] Time 0.338 (0.328) Data 0.001 (0.001) Loss 1.5086 (1.3415) Prec@1 67.969 (68.749) Prec@5 85.156 (87.116) Epoch: [87][6360/10010] Time 0.337 (0.328) Data 0.001 (0.001) Loss 1.2557 (1.3414) Prec@1 68.750 (68.752) Prec@5 85.156 (87.117) Epoch: [87][6370/10010] Time 0.330 (0.328) Data 0.001 (0.001) Loss 1.2835 (1.3414) Prec@1 65.625 (68.749) Prec@5 86.719 (87.116) Epoch: [87][6380/10010] Time 0.312 (0.328) Data 0.000 (0.001) Loss 1.2017 (1.3415) Prec@1 70.312 (68.747) Prec@5 90.625 (87.115) Epoch: [87][6390/10010] Time 0.338 (0.328) Data 0.001 (0.001) Loss 1.3758 (1.3417) Prec@1 67.188 (68.745) Prec@5 87.500 (87.113) Epoch: [87][6400/10010] Time 0.330 (0.328) Data 0.000 (0.001) Loss 1.6663 (1.3418) Prec@1 60.938 (68.741) Prec@5 78.906 (87.111) Epoch: [87][6410/10010] Time 0.317 (0.328) Data 0.000 (0.001) Loss 1.1972 (1.3419) Prec@1 72.656 (68.738) Prec@5 88.281 (87.111) Epoch: [87][6420/10010] Time 0.334 (0.328) Data 0.001 (0.001) Loss 1.2579 (1.3419) Prec@1 69.531 (68.739) Prec@5 92.969 (87.113) Epoch: [87][6430/10010] Time 0.323 (0.328) Data 0.001 (0.001) Loss 1.4493 (1.3419) Prec@1 61.719 (68.737) Prec@5 87.500 (87.113) Epoch: [87][6440/10010] Time 0.314 (0.328) Data 0.001 (0.001) Loss 1.4008 (1.3420) Prec@1 70.312 (68.735) Prec@5 85.156 (87.110) Epoch: [87][6450/10010] Time 0.336 (0.328) Data 0.000 (0.001) Loss 1.1202 (1.3420) Prec@1 68.750 (68.737) Prec@5 86.719 (87.109) Epoch: [87][6460/10010] Time 0.334 (0.328) Data 0.001 (0.001) Loss 1.0438 (1.3419) Prec@1 74.219 (68.736) Prec@5 92.188 (87.110) Epoch: [87][6470/10010] Time 0.324 (0.328) Data 0.001 (0.001) Loss 1.2966 (1.3418) Prec@1 68.750 (68.738) Prec@5 85.938 (87.113) Epoch: [87][6480/10010] Time 0.317 (0.328) Data 0.001 (0.001) Loss 1.1495 (1.3418) Prec@1 71.875 (68.738) Prec@5 90.625 (87.113) Epoch: [87][6490/10010] Time 0.318 (0.328) Data 0.001 (0.001) Loss 1.5053 (1.3419) Prec@1 65.625 (68.736) Prec@5 82.812 (87.113) Epoch: [87][6500/10010] Time 0.339 (0.328) Data 0.000 (0.001) Loss 1.2441 (1.3420) Prec@1 71.094 (68.737) Prec@5 89.062 (87.111) Epoch: [87][6510/10010] Time 0.345 (0.328) Data 0.000 (0.001) Loss 1.4037 (1.3420) Prec@1 65.625 (68.737) Prec@5 85.156 (87.110) Epoch: [87][6520/10010] Time 0.322 (0.328) Data 0.001 (0.001) Loss 1.3423 (1.3418) Prec@1 64.844 (68.738) Prec@5 86.719 (87.113) Epoch: [87][6530/10010] Time 0.321 (0.328) Data 0.001 (0.001) Loss 1.3497 (1.3418) Prec@1 68.750 (68.740) Prec@5 85.938 (87.113) Epoch: [87][6540/10010] Time 0.319 (0.328) Data 0.000 (0.001) Loss 1.3050 (1.3418) Prec@1 70.312 (68.739) Prec@5 90.625 (87.114) Epoch: [87][6550/10010] Time 0.326 (0.328) Data 0.001 (0.001) Loss 1.1966 (1.3418) Prec@1 74.219 (68.740) Prec@5 89.062 (87.113) Epoch: [87][6560/10010] Time 0.336 (0.328) Data 0.000 (0.001) Loss 1.3730 (1.3417) Prec@1 66.406 (68.743) Prec@5 85.938 (87.115) Epoch: [87][6570/10010] Time 0.334 (0.328) Data 0.000 (0.001) Loss 1.4089 (1.3417) Prec@1 64.844 (68.742) Prec@5 88.281 (87.116) Epoch: [87][6580/10010] Time 0.334 (0.328) Data 0.000 (0.001) Loss 1.4718 (1.3417) Prec@1 67.188 (68.744) Prec@5 86.719 (87.116) Epoch: [87][6590/10010] Time 0.331 (0.328) Data 0.001 (0.001) Loss 1.4243 (1.3417) Prec@1 68.750 (68.744) Prec@5 88.281 (87.116) Epoch: [87][6600/10010] Time 0.309 (0.328) Data 0.001 (0.001) Loss 1.4399 (1.3418) Prec@1 67.969 (68.742) Prec@5 85.156 (87.113) Epoch: [87][6610/10010] Time 0.321 (0.328) Data 0.001 (0.001) Loss 1.2766 (1.3417) Prec@1 71.094 (68.741) Prec@5 89.844 (87.115) Epoch: [87][6620/10010] Time 0.334 (0.328) Data 0.001 (0.001) Loss 1.4818 (1.3417) Prec@1 64.062 (68.742) Prec@5 83.594 (87.115) Epoch: [87][6630/10010] Time 0.340 (0.328) Data 0.000 (0.001) Loss 1.0925 (1.3417) Prec@1 72.656 (68.742) Prec@5 91.406 (87.115) Epoch: [87][6640/10010] Time 0.316 (0.328) Data 0.000 (0.001) Loss 1.2792 (1.3418) Prec@1 67.188 (68.742) Prec@5 89.062 (87.115) Epoch: [87][6650/10010] Time 0.321 (0.328) Data 0.001 (0.001) Loss 1.1869 (1.3418) Prec@1 72.656 (68.743) Prec@5 90.625 (87.114) Epoch: [87][6660/10010] Time 0.342 (0.328) Data 0.000 (0.001) Loss 1.3390 (1.3418) Prec@1 66.406 (68.741) Prec@5 87.500 (87.115) Epoch: [87][6670/10010] Time 0.319 (0.328) Data 0.001 (0.001) Loss 1.3792 (1.3418) Prec@1 66.406 (68.739) Prec@5 88.281 (87.114) Epoch: [87][6680/10010] Time 0.346 (0.328) Data 0.000 (0.001) Loss 1.4303 (1.3418) Prec@1 71.094 (68.741) Prec@5 85.156 (87.114) Epoch: [87][6690/10010] Time 0.324 (0.328) Data 0.001 (0.001) Loss 1.3687 (1.3418) Prec@1 71.094 (68.741) Prec@5 85.938 (87.114) Epoch: [87][6700/10010] Time 0.329 (0.328) Data 0.001 (0.001) Loss 1.7181 (1.3418) Prec@1 59.375 (68.741) Prec@5 80.469 (87.115) Epoch: [87][6710/10010] Time 0.335 (0.328) Data 0.000 (0.001) Loss 1.3504 (1.3418) Prec@1 70.312 (68.742) Prec@5 86.719 (87.116) Epoch: [87][6720/10010] Time 0.323 (0.328) Data 0.001 (0.001) Loss 1.2642 (1.3419) Prec@1 71.094 (68.742) Prec@5 85.938 (87.113) Epoch: [87][6730/10010] Time 0.314 (0.328) Data 0.000 (0.001) Loss 1.3236 (1.3418) Prec@1 68.750 (68.741) Prec@5 88.281 (87.115) Epoch: [87][6740/10010] Time 0.326 (0.328) Data 0.000 (0.001) Loss 1.6674 (1.3418) Prec@1 63.281 (68.741) Prec@5 85.938 (87.116) Epoch: [87][6750/10010] Time 0.339 (0.328) Data 0.000 (0.001) Loss 1.1034 (1.3417) Prec@1 73.438 (68.746) Prec@5 90.625 (87.118) Epoch: [87][6760/10010] Time 0.334 (0.328) Data 0.000 (0.001) Loss 0.9615 (1.3417) Prec@1 75.781 (68.744) Prec@5 92.969 (87.117) Epoch: [87][6770/10010] Time 0.332 (0.328) Data 0.000 (0.001) Loss 1.2212 (1.3419) Prec@1 71.875 (68.742) Prec@5 92.969 (87.116) Epoch: [87][6780/10010] Time 0.322 (0.328) Data 0.001 (0.001) Loss 1.6485 (1.3418) Prec@1 64.062 (68.741) Prec@5 82.031 (87.116) Epoch: [87][6790/10010] Time 0.314 (0.328) Data 0.000 (0.001) Loss 1.2498 (1.3418) Prec@1 68.750 (68.742) Prec@5 87.500 (87.118) Epoch: [87][6800/10010] Time 0.335 (0.328) Data 0.001 (0.001) Loss 1.4825 (1.3418) Prec@1 65.625 (68.740) Prec@5 85.938 (87.117) Epoch: [87][6810/10010] Time 0.337 (0.328) Data 0.001 (0.001) Loss 1.1372 (1.3418) Prec@1 72.656 (68.740) Prec@5 89.844 (87.117) Epoch: [87][6820/10010] Time 0.321 (0.328) Data 0.001 (0.001) Loss 1.4462 (1.3418) Prec@1 71.094 (68.741) Prec@5 82.812 (87.115) Epoch: [87][6830/10010] Time 0.327 (0.328) Data 0.001 (0.001) Loss 1.3858 (1.3419) Prec@1 67.969 (68.739) Prec@5 88.281 (87.113) Epoch: [87][6840/10010] Time 0.340 (0.328) Data 0.001 (0.001) Loss 1.3413 (1.3420) Prec@1 67.969 (68.739) Prec@5 85.938 (87.111) Epoch: [87][6850/10010] Time 0.328 (0.328) Data 0.001 (0.001) Loss 1.5510 (1.3420) Prec@1 64.062 (68.741) Prec@5 83.594 (87.110) Epoch: [87][6860/10010] Time 0.337 (0.328) Data 0.001 (0.001) Loss 1.1564 (1.3420) Prec@1 73.438 (68.741) Prec@5 86.719 (87.110) Epoch: [87][6870/10010] Time 0.329 (0.328) Data 0.001 (0.001) Loss 1.5955 (1.3421) Prec@1 63.281 (68.740) Prec@5 82.031 (87.110) Epoch: [87][6880/10010] Time 0.326 (0.328) Data 0.000 (0.001) Loss 1.2345 (1.3421) Prec@1 67.969 (68.739) Prec@5 87.500 (87.109) Epoch: [87][6890/10010] Time 0.332 (0.328) Data 0.000 (0.001) Loss 1.4037 (1.3422) Prec@1 67.969 (68.739) Prec@5 85.938 (87.109) Epoch: [87][6900/10010] Time 0.335 (0.328) Data 0.000 (0.001) Loss 1.3390 (1.3423) Prec@1 67.969 (68.736) Prec@5 87.500 (87.107) Epoch: [87][6910/10010] Time 0.325 (0.328) Data 0.001 (0.001) Loss 1.1284 (1.3423) Prec@1 73.438 (68.736) Prec@5 89.062 (87.108) Epoch: [87][6920/10010] Time 0.319 (0.328) Data 0.001 (0.001) Loss 1.4349 (1.3423) Prec@1 66.406 (68.733) Prec@5 85.938 (87.107) Epoch: [87][6930/10010] Time 0.328 (0.328) Data 0.000 (0.001) Loss 1.3345 (1.3423) Prec@1 64.062 (68.735) Prec@5 88.281 (87.107) Epoch: [87][6940/10010] Time 0.326 (0.328) Data 0.000 (0.001) Loss 1.3831 (1.3425) Prec@1 67.969 (68.731) Prec@5 89.062 (87.104) Epoch: [87][6950/10010] Time 0.334 (0.328) Data 0.001 (0.001) Loss 1.3506 (1.3424) Prec@1 71.875 (68.732) Prec@5 86.719 (87.105) Epoch: [87][6960/10010] Time 0.313 (0.328) Data 0.001 (0.001) Loss 1.4781 (1.3424) Prec@1 64.062 (68.731) Prec@5 85.938 (87.104) Epoch: [87][6970/10010] Time 0.325 (0.328) Data 0.000 (0.001) Loss 1.2557 (1.3423) Prec@1 73.438 (68.732) Prec@5 89.844 (87.104) Epoch: [87][6980/10010] Time 0.336 (0.328) Data 0.001 (0.001) Loss 1.6110 (1.3424) Prec@1 60.938 (68.728) Prec@5 84.375 (87.102) Epoch: [87][6990/10010] Time 0.319 (0.328) Data 0.001 (0.001) Loss 0.9970 (1.3424) Prec@1 76.562 (68.730) Prec@5 89.062 (87.101) Epoch: [87][7000/10010] Time 0.325 (0.328) Data 0.001 (0.001) Loss 1.0735 (1.3423) Prec@1 69.531 (68.729) Prec@5 91.406 (87.102) Epoch: [87][7010/10010] Time 0.324 (0.328) Data 0.000 (0.001) Loss 1.3380 (1.3423) Prec@1 66.406 (68.731) Prec@5 85.156 (87.101) Epoch: [87][7020/10010] Time 0.325 (0.328) Data 0.001 (0.001) Loss 1.4635 (1.3423) Prec@1 62.500 (68.734) Prec@5 85.156 (87.100) Epoch: [87][7030/10010] Time 0.329 (0.328) Data 0.003 (0.001) Loss 1.1621 (1.3424) Prec@1 70.312 (68.731) Prec@5 89.062 (87.100) Epoch: [87][7040/10010] Time 0.318 (0.328) Data 0.001 (0.001) Loss 1.3224 (1.3424) Prec@1 70.312 (68.730) Prec@5 89.844 (87.100) Epoch: [87][7050/10010] Time 0.318 (0.328) Data 0.001 (0.001) Loss 1.4405 (1.3425) Prec@1 63.281 (68.728) Prec@5 85.156 (87.098) Epoch: [87][7060/10010] Time 0.316 (0.328) Data 0.000 (0.001) Loss 1.1119 (1.3424) Prec@1 74.219 (68.730) Prec@5 89.062 (87.100) Epoch: [87][7070/10010] Time 0.327 (0.328) Data 0.000 (0.001) Loss 1.4329 (1.3424) Prec@1 68.750 (68.731) Prec@5 86.719 (87.100) Epoch: [87][7080/10010] Time 0.325 (0.328) Data 0.001 (0.001) Loss 1.3517 (1.3424) Prec@1 70.312 (68.732) Prec@5 86.719 (87.099) Epoch: [87][7090/10010] Time 0.328 (0.328) Data 0.000 (0.001) Loss 1.4408 (1.3424) Prec@1 69.531 (68.733) Prec@5 86.719 (87.098) Epoch: [87][7100/10010] Time 0.323 (0.328) Data 0.001 (0.001) Loss 1.1263 (1.3424) Prec@1 74.219 (68.735) Prec@5 90.625 (87.098) Epoch: [87][7110/10010] Time 0.323 (0.328) Data 0.000 (0.001) Loss 1.3843 (1.3423) Prec@1 70.312 (68.738) Prec@5 85.156 (87.099) Epoch: [87][7120/10010] Time 0.328 (0.328) Data 0.000 (0.001) Loss 1.4061 (1.3424) Prec@1 67.969 (68.737) Prec@5 84.375 (87.097) Epoch: [87][7130/10010] Time 0.338 (0.328) Data 0.001 (0.001) Loss 1.1854 (1.3424) Prec@1 71.875 (68.737) Prec@5 86.719 (87.096) Epoch: [87][7140/10010] Time 0.345 (0.328) Data 0.001 (0.001) Loss 1.2964 (1.3423) Prec@1 68.750 (68.737) Prec@5 87.500 (87.098) Epoch: [87][7150/10010] Time 0.337 (0.328) Data 0.001 (0.001) Loss 1.2664 (1.3423) Prec@1 76.562 (68.739) Prec@5 85.938 (87.097) Epoch: [87][7160/10010] Time 0.335 (0.328) Data 0.001 (0.001) Loss 1.2182 (1.3422) Prec@1 67.969 (68.741) Prec@5 92.188 (87.099) Epoch: [87][7170/10010] Time 0.315 (0.328) Data 0.000 (0.001) Loss 1.2213 (1.3422) Prec@1 74.219 (68.742) Prec@5 91.406 (87.100) Epoch: [87][7180/10010] Time 0.321 (0.328) Data 0.000 (0.001) Loss 1.4420 (1.3423) Prec@1 61.719 (68.741) Prec@5 86.719 (87.098) Epoch: [87][7190/10010] Time 0.320 (0.328) Data 0.000 (0.001) Loss 1.3237 (1.3423) Prec@1 68.750 (68.741) Prec@5 85.938 (87.098) Epoch: [87][7200/10010] Time 0.337 (0.328) Data 0.001 (0.001) Loss 1.3922 (1.3424) Prec@1 70.312 (68.737) Prec@5 84.375 (87.095) Epoch: [87][7210/10010] Time 0.312 (0.328) Data 0.001 (0.001) Loss 1.4250 (1.3425) Prec@1 73.438 (68.736) Prec@5 82.812 (87.093) Epoch: [87][7220/10010] Time 0.330 (0.328) Data 0.000 (0.001) Loss 1.2243 (1.3425) Prec@1 71.875 (68.738) Prec@5 86.719 (87.092) Epoch: [87][7230/10010] Time 0.338 (0.328) Data 0.000 (0.001) Loss 1.3110 (1.3424) Prec@1 68.750 (68.739) Prec@5 86.719 (87.093) Epoch: [87][7240/10010] Time 0.330 (0.328) Data 0.001 (0.001) Loss 1.3474 (1.3424) Prec@1 67.969 (68.740) Prec@5 87.500 (87.093) Epoch: [87][7250/10010] Time 0.316 (0.328) Data 0.000 (0.001) Loss 1.2736 (1.3425) Prec@1 69.531 (68.739) Prec@5 84.375 (87.092) Epoch: [87][7260/10010] Time 0.339 (0.328) Data 0.001 (0.001) Loss 1.5106 (1.3426) Prec@1 65.625 (68.736) Prec@5 85.156 (87.090) Epoch: [87][7270/10010] Time 0.342 (0.328) Data 0.001 (0.001) Loss 1.0707 (1.3425) Prec@1 78.125 (68.738) Prec@5 90.625 (87.091) Epoch: [87][7280/10010] Time 0.336 (0.328) Data 0.001 (0.001) Loss 1.6356 (1.3426) Prec@1 62.500 (68.736) Prec@5 82.812 (87.089) Epoch: [87][7290/10010] Time 0.339 (0.328) Data 0.001 (0.001) Loss 1.3396 (1.3428) Prec@1 67.188 (68.732) Prec@5 86.719 (87.088) Epoch: [87][7300/10010] Time 0.334 (0.328) Data 0.001 (0.001) Loss 1.0768 (1.3427) Prec@1 71.094 (68.732) Prec@5 94.531 (87.089) Epoch: [87][7310/10010] Time 0.320 (0.328) Data 0.001 (0.001) Loss 1.4708 (1.3427) Prec@1 67.188 (68.731) Prec@5 81.250 (87.089) Epoch: [87][7320/10010] Time 0.335 (0.328) Data 0.000 (0.001) Loss 1.2243 (1.3427) Prec@1 72.656 (68.731) Prec@5 88.281 (87.089) Epoch: [87][7330/10010] Time 0.322 (0.328) Data 0.001 (0.001) Loss 1.5708 (1.3428) Prec@1 64.062 (68.728) Prec@5 83.594 (87.089) Epoch: [87][7340/10010] Time 0.343 (0.328) Data 0.000 (0.001) Loss 1.7726 (1.3429) Prec@1 61.719 (68.725) Prec@5 80.469 (87.088) Epoch: [87][7350/10010] Time 0.320 (0.328) Data 0.001 (0.001) Loss 1.3691 (1.3429) Prec@1 67.969 (68.724) Prec@5 87.500 (87.088) Epoch: [87][7360/10010] Time 0.344 (0.328) Data 0.001 (0.001) Loss 1.3931 (1.3430) Prec@1 71.875 (68.725) Prec@5 85.156 (87.086) Epoch: [87][7370/10010] Time 0.324 (0.328) Data 0.001 (0.001) Loss 1.7308 (1.3430) Prec@1 60.938 (68.726) Prec@5 82.031 (87.086) Epoch: [87][7380/10010] Time 0.337 (0.328) Data 0.001 (0.001) Loss 1.4542 (1.3430) Prec@1 64.062 (68.723) Prec@5 83.594 (87.086) Epoch: [87][7390/10010] Time 0.336 (0.328) Data 0.000 (0.001) Loss 1.1940 (1.3430) Prec@1 71.094 (68.726) Prec@5 89.844 (87.087) Epoch: [87][7400/10010] Time 0.343 (0.328) Data 0.000 (0.001) Loss 1.3882 (1.3429) Prec@1 70.312 (68.728) Prec@5 84.375 (87.087) Epoch: [87][7410/10010] Time 0.341 (0.328) Data 0.001 (0.001) Loss 1.1671 (1.3429) Prec@1 71.094 (68.726) Prec@5 89.062 (87.087) Epoch: [87][7420/10010] Time 0.317 (0.328) Data 0.001 (0.001) Loss 1.5898 (1.3430) Prec@1 58.594 (68.724) Prec@5 85.156 (87.086) /data/vision/torralba/deepscene/lib/anaconda2/lib/python2.7/site-packages/PIL/TiffImagePlugin.py:709: UserWarning: Corrupt EXIF data. Expecting to read 4 bytes but only got 0. warnings.warn(str(msg)) Epoch: [87][7430/10010] Time 0.344 (0.328) Data 0.000 (0.001) Loss 1.1830 (1.3430) Prec@1 73.438 (68.723) Prec@5 88.281 (87.085) Epoch: [87][7440/10010] Time 0.342 (0.328) Data 0.000 (0.001) Loss 1.5288 (1.3431) Prec@1 67.188 (68.722) Prec@5 82.031 (87.085) Epoch: [87][7450/10010] Time 0.318 (0.328) Data 0.001 (0.001) Loss 1.2064 (1.3431) Prec@1 73.438 (68.723) Prec@5 85.938 (87.083) Epoch: [87][7460/10010] Time 0.333 (0.328) Data 0.000 (0.001) Loss 1.2812 (1.3431) Prec@1 68.750 (68.723) Prec@5 88.281 (87.084) Epoch: [87][7470/10010] Time 0.316 (0.328) Data 0.001 (0.001) Loss 1.2194 (1.3431) Prec@1 72.656 (68.724) Prec@5 88.281 (87.083) Epoch: [87][7480/10010] Time 0.327 (0.328) Data 0.000 (0.001) Loss 1.3578 (1.3431) Prec@1 67.969 (68.725) Prec@5 85.156 (87.082) Epoch: [87][7490/10010] Time 0.327 (0.328) Data 0.001 (0.001) Loss 1.1633 (1.3431) Prec@1 72.656 (68.725) Prec@5 89.062 (87.081) Epoch: [87][7500/10010] Time 0.337 (0.328) Data 0.000 (0.001) Loss 1.4832 (1.3432) Prec@1 64.844 (68.723) Prec@5 86.719 (87.081) Epoch: [87][7510/10010] Time 0.333 (0.328) Data 0.000 (0.001) Loss 1.2364 (1.3431) Prec@1 67.969 (68.725) Prec@5 89.062 (87.081) Epoch: [87][7520/10010] Time 0.331 (0.328) Data 0.001 (0.001) Loss 1.6099 (1.3431) Prec@1 67.188 (68.727) Prec@5 83.594 (87.081) Epoch: [87][7530/10010] Time 0.335 (0.328) Data 0.001 (0.001) Loss 1.4322 (1.3430) Prec@1 70.312 (68.728) Prec@5 85.938 (87.082) Epoch: [87][7540/10010] Time 0.338 (0.328) Data 0.001 (0.001) Loss 1.0913 (1.3429) Prec@1 72.656 (68.729) Prec@5 91.406 (87.083) Epoch: [87][7550/10010] Time 0.337 (0.328) Data 0.001 (0.001) Loss 1.4153 (1.3428) Prec@1 66.406 (68.728) Prec@5 85.156 (87.086) Epoch: [87][7560/10010] Time 0.341 (0.328) Data 0.001 (0.001) Loss 1.4176 (1.3428) Prec@1 70.312 (68.728) Prec@5 85.156 (87.085) Epoch: [87][7570/10010] Time 0.316 (0.328) Data 0.001 (0.001) Loss 1.2700 (1.3430) Prec@1 70.312 (68.725) Prec@5 89.844 (87.085) Epoch: [87][7580/10010] Time 0.339 (0.328) Data 0.001 (0.001) Loss 0.9974 (1.3430) Prec@1 72.656 (68.722) Prec@5 94.531 (87.084) Epoch: [87][7590/10010] Time 0.340 (0.328) Data 0.000 (0.001) Loss 1.1380 (1.3430) Prec@1 69.531 (68.722) Prec@5 93.750 (87.084) Epoch: [87][7600/10010] Time 0.333 (0.328) Data 0.000 (0.001) Loss 1.3517 (1.3429) Prec@1 69.531 (68.723) Prec@5 85.938 (87.084) Epoch: [87][7610/10010] Time 0.332 (0.328) Data 0.001 (0.001) Loss 1.3834 (1.3430) Prec@1 64.844 (68.721) Prec@5 89.844 (87.082) Epoch: [87][7620/10010] Time 0.328 (0.328) Data 0.001 (0.001) Loss 1.3926 (1.3429) Prec@1 71.094 (68.723) Prec@5 83.594 (87.084) Epoch: [87][7630/10010] Time 0.339 (0.328) Data 0.001 (0.001) Loss 1.6041 (1.3429) Prec@1 65.625 (68.723) Prec@5 83.594 (87.083) Epoch: [87][7640/10010] Time 0.341 (0.328) Data 0.001 (0.001) Loss 1.4099 (1.3428) Prec@1 71.094 (68.725) Prec@5 85.938 (87.085) Epoch: [87][7650/10010] Time 0.319 (0.328) Data 0.001 (0.001) Loss 1.1362 (1.3428) Prec@1 71.875 (68.726) Prec@5 87.500 (87.085) Epoch: [87][7660/10010] Time 0.318 (0.328) Data 0.000 (0.001) Loss 1.5793 (1.3427) Prec@1 64.844 (68.727) Prec@5 84.375 (87.086) Epoch: [87][7670/10010] Time 0.320 (0.328) Data 0.001 (0.001) Loss 1.7048 (1.3427) Prec@1 61.719 (68.726) Prec@5 82.812 (87.086) Epoch: [87][7680/10010] Time 0.326 (0.328) Data 0.001 (0.001) Loss 1.3122 (1.3427) Prec@1 70.312 (68.728) Prec@5 87.500 (87.088) Epoch: [87][7690/10010] Time 0.332 (0.328) Data 0.001 (0.001) Loss 1.0811 (1.3426) Prec@1 75.000 (68.729) Prec@5 92.188 (87.088) Epoch: [87][7700/10010] Time 0.340 (0.328) Data 0.001 (0.001) Loss 1.3239 (1.3428) Prec@1 71.875 (68.726) Prec@5 88.281 (87.086) Epoch: [87][7710/10010] Time 0.317 (0.328) Data 0.001 (0.001) Loss 1.2448 (1.3428) Prec@1 70.312 (68.725) Prec@5 89.844 (87.086) Epoch: [87][7720/10010] Time 0.327 (0.328) Data 0.001 (0.001) Loss 1.5354 (1.3428) Prec@1 63.281 (68.724) Prec@5 84.375 (87.086) Epoch: [87][7730/10010] Time 0.316 (0.328) Data 0.001 (0.001) Loss 1.1005 (1.3428) Prec@1 73.438 (68.725) Prec@5 89.844 (87.088) Epoch: [87][7740/10010] Time 0.327 (0.328) Data 0.000 (0.001) Loss 1.2615 (1.3427) Prec@1 70.312 (68.725) Prec@5 88.281 (87.089) Epoch: [87][7750/10010] Time 0.313 (0.328) Data 0.001 (0.001) Loss 1.1555 (1.3427) Prec@1 68.750 (68.725) Prec@5 89.844 (87.090) Epoch: [87][7760/10010] Time 0.333 (0.328) Data 0.001 (0.001) Loss 1.4541 (1.3427) Prec@1 70.312 (68.725) Prec@5 82.812 (87.088) Epoch: [87][7770/10010] Time 0.331 (0.328) Data 0.000 (0.001) Loss 1.4727 (1.3429) Prec@1 66.406 (68.721) Prec@5 85.156 (87.086) Epoch: [87][7780/10010] Time 0.313 (0.328) Data 0.000 (0.001) Loss 1.0385 (1.3429) Prec@1 74.219 (68.721) Prec@5 89.844 (87.085) Epoch: [87][7790/10010] Time 0.331 (0.328) Data 0.001 (0.001) Loss 1.0659 (1.3428) Prec@1 77.344 (68.723) Prec@5 91.406 (87.086) Epoch: [87][7800/10010] Time 0.321 (0.328) Data 0.000 (0.001) Loss 1.2936 (1.3429) Prec@1 70.312 (68.722) Prec@5 91.406 (87.085) Epoch: [87][7810/10010] Time 0.338 (0.328) Data 0.001 (0.001) Loss 1.2128 (1.3429) Prec@1 71.875 (68.724) Prec@5 91.406 (87.086) Epoch: [87][7820/10010] Time 0.318 (0.328) Data 0.000 (0.001) Loss 1.2733 (1.3429) Prec@1 73.438 (68.724) Prec@5 89.844 (87.086) Epoch: [87][7830/10010] Time 0.324 (0.328) Data 0.001 (0.001) Loss 1.7361 (1.3429) Prec@1 63.281 (68.725) Prec@5 78.906 (87.085) Epoch: [87][7840/10010] Time 0.339 (0.328) Data 0.001 (0.001) Loss 1.7069 (1.3430) Prec@1 59.375 (68.724) Prec@5 81.250 (87.084) Epoch: [87][7850/10010] Time 0.322 (0.328) Data 0.000 (0.001) Loss 1.7154 (1.3430) Prec@1 57.031 (68.723) Prec@5 83.594 (87.085) Epoch: [87][7860/10010] Time 0.319 (0.328) Data 0.001 (0.001) Loss 1.7361 (1.3431) Prec@1 59.375 (68.723) Prec@5 80.469 (87.084) Epoch: [87][7870/10010] Time 0.314 (0.328) Data 0.001 (0.001) Loss 1.3636 (1.3430) Prec@1 68.750 (68.724) Prec@5 88.281 (87.086) Epoch: [87][7880/10010] Time 0.329 (0.328) Data 0.001 (0.001) Loss 1.3285 (1.3430) Prec@1 68.750 (68.723) Prec@5 86.719 (87.084) Epoch: [87][7890/10010] Time 0.335 (0.328) Data 0.000 (0.001) Loss 1.2113 (1.3431) Prec@1 67.969 (68.723) Prec@5 88.281 (87.083) Epoch: [87][7900/10010] Time 0.331 (0.328) Data 0.001 (0.001) Loss 1.3179 (1.3431) Prec@1 69.531 (68.722) Prec@5 88.281 (87.084) Epoch: [87][7910/10010] Time 0.341 (0.328) Data 0.001 (0.001) Loss 1.3610 (1.3430) Prec@1 71.875 (68.724) Prec@5 85.938 (87.084) Epoch: [87][7920/10010] Time 0.321 (0.328) Data 0.000 (0.001) Loss 1.3627 (1.3431) Prec@1 65.625 (68.722) Prec@5 87.500 (87.082) Epoch: [87][7930/10010] Time 0.339 (0.328) Data 0.000 (0.001) Loss 1.4569 (1.3431) Prec@1 63.281 (68.722) Prec@5 83.594 (87.083) Epoch: [87][7940/10010] Time 0.321 (0.328) Data 0.001 (0.001) Loss 1.3638 (1.3433) Prec@1 70.312 (68.720) Prec@5 85.156 (87.079) Epoch: [87][7950/10010] Time 0.324 (0.328) Data 0.000 (0.001) Loss 1.1983 (1.3432) Prec@1 72.656 (68.722) Prec@5 88.281 (87.080) Epoch: [87][7960/10010] Time 0.316 (0.328) Data 0.000 (0.001) Loss 1.1633 (1.3433) Prec@1 68.750 (68.720) Prec@5 90.625 (87.080) Epoch: [87][7970/10010] Time 0.316 (0.328) Data 0.001 (0.001) Loss 1.2495 (1.3432) Prec@1 67.188 (68.722) Prec@5 86.719 (87.082) Epoch: [87][7980/10010] Time 0.340 (0.328) Data 0.001 (0.001) Loss 1.5719 (1.3432) Prec@1 67.188 (68.721) Prec@5 82.031 (87.080) Epoch: [87][7990/10010] Time 0.322 (0.328) Data 0.001 (0.001) Loss 1.2773 (1.3432) Prec@1 75.000 (68.721) Prec@5 89.062 (87.081) Epoch: [87][8000/10010] Time 0.327 (0.328) Data 0.001 (0.001) Loss 1.3799 (1.3432) Prec@1 70.312 (68.720) Prec@5 82.031 (87.080) Epoch: [87][8010/10010] Time 0.315 (0.328) Data 0.001 (0.001) Loss 1.4995 (1.3432) Prec@1 66.406 (68.720) Prec@5 85.156 (87.080) Epoch: [87][8020/10010] Time 0.315 (0.328) Data 0.001 (0.001) Loss 1.8365 (1.3433) Prec@1 58.594 (68.718) Prec@5 82.031 (87.078) Epoch: [87][8030/10010] Time 0.340 (0.328) Data 0.001 (0.001) Loss 1.2753 (1.3433) Prec@1 67.969 (68.720) Prec@5 89.844 (87.079) Epoch: [87][8040/10010] Time 0.317 (0.328) Data 0.001 (0.001) Loss 1.3855 (1.3433) Prec@1 68.750 (68.719) Prec@5 84.375 (87.079) Epoch: [87][8050/10010] Time 0.333 (0.328) Data 0.001 (0.001) Loss 1.3870 (1.3433) Prec@1 66.406 (68.719) Prec@5 85.938 (87.078) Epoch: [87][8060/10010] Time 0.322 (0.328) Data 0.001 (0.001) Loss 1.4298 (1.3433) Prec@1 67.969 (68.716) Prec@5 82.812 (87.079) Epoch: [87][8070/10010] Time 0.320 (0.328) Data 0.001 (0.001) Loss 1.6215 (1.3434) Prec@1 57.812 (68.712) Prec@5 83.594 (87.079) Epoch: [87][8080/10010] Time 0.320 (0.328) Data 0.001 (0.001) Loss 1.4370 (1.3434) Prec@1 64.844 (68.712) Prec@5 85.938 (87.079) Epoch: [87][8090/10010] Time 0.338 (0.328) Data 0.001 (0.001) Loss 1.4162 (1.3434) Prec@1 71.094 (68.713) Prec@5 83.594 (87.078) Epoch: [87][8100/10010] Time 0.321 (0.328) Data 0.000 (0.001) Loss 1.6161 (1.3436) Prec@1 60.938 (68.710) Prec@5 83.594 (87.076) Epoch: [87][8110/10010] Time 0.321 (0.328) Data 0.001 (0.001) Loss 1.3638 (1.3436) Prec@1 67.188 (68.710) Prec@5 83.594 (87.076) Epoch: [87][8120/10010] Time 0.312 (0.328) Data 0.001 (0.001) Loss 1.2561 (1.3435) Prec@1 67.969 (68.709) Prec@5 89.844 (87.078) Epoch: [87][8130/10010] Time 0.333 (0.328) Data 0.001 (0.001) Loss 1.3458 (1.3435) Prec@1 67.188 (68.708) Prec@5 86.719 (87.077) Epoch: [87][8140/10010] Time 0.328 (0.328) Data 0.001 (0.001) Loss 1.3074 (1.3436) Prec@1 68.750 (68.707) Prec@5 85.156 (87.076) Epoch: [87][8150/10010] Time 0.317 (0.328) Data 0.001 (0.001) Loss 1.2271 (1.3435) Prec@1 73.438 (68.709) Prec@5 89.844 (87.077) Epoch: [87][8160/10010] Time 0.320 (0.328) Data 0.000 (0.001) Loss 1.6182 (1.3435) Prec@1 64.844 (68.710) Prec@5 82.031 (87.077) Epoch: [87][8170/10010] Time 0.311 (0.328) Data 0.001 (0.001) Loss 1.4529 (1.3437) Prec@1 69.531 (68.708) Prec@5 87.500 (87.074) Epoch: [87][8180/10010] Time 0.317 (0.328) Data 0.000 (0.001) Loss 1.4409 (1.3438) Prec@1 70.312 (68.706) Prec@5 84.375 (87.072) Epoch: [87][8190/10010] Time 0.324 (0.328) Data 0.000 (0.001) Loss 1.5946 (1.3438) Prec@1 62.500 (68.707) Prec@5 81.250 (87.072) Epoch: [87][8200/10010] Time 0.325 (0.328) Data 0.001 (0.001) Loss 1.3626 (1.3439) Prec@1 67.969 (68.704) Prec@5 86.719 (87.072) Epoch: [87][8210/10010] Time 0.337 (0.328) Data 0.001 (0.001) Loss 1.9162 (1.3440) Prec@1 64.062 (68.704) Prec@5 78.906 (87.071) Epoch: [87][8220/10010] Time 0.330 (0.328) Data 0.001 (0.001) Loss 1.4392 (1.3441) Prec@1 69.531 (68.705) Prec@5 84.375 (87.071) Epoch: [87][8230/10010] Time 0.313 (0.328) Data 0.001 (0.001) Loss 1.6039 (1.3441) Prec@1 61.719 (68.702) Prec@5 85.156 (87.071) Epoch: [87][8240/10010] Time 0.319 (0.328) Data 0.001 (0.001) Loss 1.2631 (1.3442) Prec@1 72.656 (68.702) Prec@5 88.281 (87.069) Epoch: [87][8250/10010] Time 0.318 (0.328) Data 0.001 (0.001) Loss 1.3644 (1.3443) Prec@1 71.094 (68.699) Prec@5 88.281 (87.068) Epoch: [87][8260/10010] Time 0.335 (0.328) Data 0.001 (0.001) Loss 1.3438 (1.3443) Prec@1 73.438 (68.700) Prec@5 84.375 (87.068) Epoch: [87][8270/10010] Time 0.340 (0.328) Data 0.001 (0.001) Loss 1.2603 (1.3442) Prec@1 70.312 (68.700) Prec@5 89.062 (87.070) Epoch: [87][8280/10010] Time 0.337 (0.328) Data 0.000 (0.001) Loss 1.6148 (1.3443) Prec@1 65.625 (68.698) Prec@5 85.156 (87.068) Epoch: [87][8290/10010] Time 0.318 (0.328) Data 0.001 (0.001) Loss 1.2513 (1.3443) Prec@1 68.750 (68.699) Prec@5 90.625 (87.068) Epoch: [87][8300/10010] Time 0.325 (0.328) Data 0.001 (0.001) Loss 1.2776 (1.3443) Prec@1 67.969 (68.698) Prec@5 89.844 (87.069) Epoch: [87][8310/10010] Time 0.316 (0.328) Data 0.001 (0.001) Loss 1.5521 (1.3443) Prec@1 61.719 (68.697) Prec@5 85.156 (87.069) Epoch: [87][8320/10010] Time 0.336 (0.328) Data 0.001 (0.001) Loss 1.2410 (1.3442) Prec@1 70.312 (68.698) Prec@5 89.062 (87.071) Epoch: [87][8330/10010] Time 0.327 (0.328) Data 0.001 (0.001) Loss 1.4550 (1.3442) Prec@1 67.188 (68.698) Prec@5 85.938 (87.071) Epoch: [87][8340/10010] Time 0.336 (0.328) Data 0.000 (0.001) Loss 1.1708 (1.3442) Prec@1 68.750 (68.698) Prec@5 89.844 (87.072) Epoch: [87][8350/10010] Time 0.336 (0.328) Data 0.001 (0.001) Loss 1.1925 (1.3443) Prec@1 70.312 (68.696) Prec@5 91.406 (87.071) Epoch: [87][8360/10010] Time 0.323 (0.328) Data 0.001 (0.001) Loss 1.2645 (1.3442) Prec@1 72.656 (68.696) Prec@5 87.500 (87.072) Epoch: [87][8370/10010] Time 0.333 (0.328) Data 0.001 (0.001) Loss 1.2847 (1.3442) Prec@1 69.531 (68.698) Prec@5 86.719 (87.073) Epoch: [87][8380/10010] Time 0.316 (0.328) Data 0.001 (0.001) Loss 1.4724 (1.3442) Prec@1 71.875 (68.699) Prec@5 88.281 (87.072) Epoch: [87][8390/10010] Time 0.316 (0.328) Data 0.001 (0.001) Loss 1.4109 (1.3442) Prec@1 64.844 (68.698) Prec@5 87.500 (87.071) Epoch: [87][8400/10010] Time 0.319 (0.328) Data 0.000 (0.001) Loss 1.2806 (1.3442) Prec@1 69.531 (68.698) Prec@5 89.062 (87.072) Epoch: [87][8410/10010] Time 0.310 (0.328) Data 0.001 (0.001) Loss 1.4110 (1.3442) Prec@1 67.969 (68.699) Prec@5 85.938 (87.073) /data/vision/torralba/deepscene/lib/anaconda2/lib/python2.7/site-packages/PIL/TiffImagePlugin.py:692: UserWarning: Possibly corrupt EXIF data. Expecting to read 2555904 bytes but only got 0. Skipping tag 0 "Skipping tag %s" % (size, len(data), tag)) Epoch: [87][8420/10010] Time 0.318 (0.328) Data 0.001 (0.001) Loss 1.3833 (1.3443) Prec@1 71.094 (68.698) Prec@5 87.500 (87.071) Epoch: [87][8430/10010] Time 0.333 (0.328) Data 0.001 (0.001) Loss 1.4933 (1.3444) Prec@1 64.844 (68.697) Prec@5 86.719 (87.070) Epoch: [87][8440/10010] Time 0.333 (0.328) Data 0.001 (0.001) Loss 1.4032 (1.3444) Prec@1 71.094 (68.698) Prec@5 85.938 (87.070) Epoch: [87][8450/10010] Time 0.318 (0.328) Data 0.000 (0.001) Loss 1.4225 (1.3444) Prec@1 66.406 (68.697) Prec@5 87.500 (87.070) Epoch: [87][8460/10010] Time 0.316 (0.328) Data 0.001 (0.001) Loss 1.5969 (1.3444) Prec@1 60.938 (68.696) Prec@5 84.375 (87.070) Epoch: [87][8470/10010] Time 0.337 (0.328) Data 0.001 (0.001) Loss 1.1784 (1.3445) Prec@1 72.656 (68.696) Prec@5 89.062 (87.071) Epoch: [87][8480/10010] Time 0.338 (0.328) Data 0.000 (0.001) Loss 1.5686 (1.3444) Prec@1 64.062 (68.697) Prec@5 85.156 (87.072) Epoch: [87][8490/10010] Time 0.342 (0.328) Data 0.001 (0.001) Loss 1.1155 (1.3444) Prec@1 73.438 (68.700) Prec@5 91.406 (87.073) Epoch: [87][8500/10010] Time 0.314 (0.328) Data 0.001 (0.001) Loss 1.3137 (1.3443) Prec@1 71.875 (68.700) Prec@5 89.062 (87.073) Epoch: [87][8510/10010] Time 0.325 (0.328) Data 0.001 (0.001) Loss 1.3005 (1.3443) Prec@1 66.406 (68.699) Prec@5 87.500 (87.073) Epoch: [87][8520/10010] Time 0.340 (0.328) Data 0.000 (0.001) Loss 1.5193 (1.3443) Prec@1 67.188 (68.698) Prec@5 85.156 (87.072) Epoch: [87][8530/10010] Time 0.330 (0.328) Data 0.001 (0.001) Loss 1.3191 (1.3444) Prec@1 72.656 (68.698) Prec@5 88.281 (87.071) Epoch: [87][8540/10010] Time 0.317 (0.328) Data 0.001 (0.001) Loss 1.3655 (1.3443) Prec@1 63.281 (68.699) Prec@5 87.500 (87.072) Epoch: [87][8550/10010] Time 0.335 (0.328) Data 0.001 (0.001) Loss 1.2066 (1.3444) Prec@1 73.438 (68.698) Prec@5 88.281 (87.072) Epoch: [87][8560/10010] Time 0.319 (0.328) Data 0.000 (0.001) Loss 1.2957 (1.3444) Prec@1 72.656 (68.700) Prec@5 88.281 (87.072) Epoch: [87][8570/10010] Time 0.318 (0.328) Data 0.001 (0.001) Loss 1.6639 (1.3445) Prec@1 65.625 (68.698) Prec@5 85.938 (87.071) Epoch: [87][8580/10010] Time 0.327 (0.328) Data 0.000 (0.001) Loss 1.1175 (1.3445) Prec@1 67.969 (68.697) Prec@5 92.969 (87.071) Epoch: [87][8590/10010] Time 0.331 (0.328) Data 0.001 (0.001) Loss 1.2264 (1.3446) Prec@1 68.750 (68.693) Prec@5 92.188 (87.071) Epoch: [87][8600/10010] Time 0.334 (0.328) Data 0.001 (0.001) Loss 1.8190 (1.3447) Prec@1 58.594 (68.692) Prec@5 81.250 (87.070) Epoch: [87][8610/10010] Time 0.334 (0.328) Data 0.001 (0.001) Loss 1.3310 (1.3447) Prec@1 71.094 (68.692) Prec@5 89.844 (87.071) Epoch: [87][8620/10010] Time 0.320 (0.328) Data 0.001 (0.001) Loss 1.1736 (1.3446) Prec@1 70.312 (68.696) Prec@5 90.625 (87.072) Epoch: [87][8630/10010] Time 0.333 (0.328) Data 0.001 (0.001) Loss 1.4822 (1.3446) Prec@1 64.062 (68.694) Prec@5 85.938 (87.070) Epoch: [87][8640/10010] Time 0.333 (0.328) Data 0.001 (0.001) Loss 1.3838 (1.3446) Prec@1 67.188 (68.694) Prec@5 86.719 (87.071) Epoch: [87][8650/10010] Time 0.337 (0.328) Data 0.001 (0.001) Loss 1.3419 (1.3445) Prec@1 65.625 (68.695) Prec@5 86.719 (87.072) Epoch: [87][8660/10010] Time 0.328 (0.328) Data 0.000 (0.001) Loss 1.3413 (1.3445) Prec@1 67.188 (68.694) Prec@5 88.281 (87.072) Epoch: [87][8670/10010] Time 0.333 (0.328) Data 0.001 (0.001) Loss 1.0197 (1.3444) Prec@1 78.906 (68.696) Prec@5 92.969 (87.074) Epoch: [87][8680/10010] Time 0.314 (0.328) Data 0.001 (0.001) Loss 1.5443 (1.3445) Prec@1 62.500 (68.695) Prec@5 83.594 (87.074) Epoch: [87][8690/10010] Time 0.341 (0.328) Data 0.001 (0.001) Loss 1.3567 (1.3445) Prec@1 65.625 (68.694) Prec@5 84.375 (87.073) Epoch: [87][8700/10010] Time 0.322 (0.328) Data 0.000 (0.001) Loss 1.2359 (1.3444) Prec@1 67.188 (68.695) Prec@5 90.625 (87.075) Epoch: [87][8710/10010] Time 0.320 (0.328) Data 0.000 (0.001) Loss 1.4388 (1.3445) Prec@1 68.750 (68.695) Prec@5 84.375 (87.074) Epoch: [87][8720/10010] Time 0.308 (0.328) Data 0.001 (0.001) Loss 1.4484 (1.3446) Prec@1 69.531 (68.694) Prec@5 82.812 (87.072) Epoch: [87][8730/10010] Time 0.321 (0.328) Data 0.001 (0.001) Loss 1.4058 (1.3445) Prec@1 64.844 (68.694) Prec@5 84.375 (87.073) Epoch: [87][8740/10010] Time 0.320 (0.328) Data 0.001 (0.001) Loss 1.6230 (1.3446) Prec@1 62.500 (68.693) Prec@5 85.156 (87.071) Epoch: [87][8750/10010] Time 0.333 (0.328) Data 0.001 (0.001) Loss 1.6885 (1.3447) Prec@1 63.281 (68.692) Prec@5 81.250 (87.069) Epoch: [87][8760/10010] Time 0.334 (0.328) Data 0.001 (0.001) Loss 1.2976 (1.3447) Prec@1 65.625 (68.693) Prec@5 89.844 (87.069) Epoch: [87][8770/10010] Time 0.316 (0.328) Data 0.001 (0.001) Loss 1.5728 (1.3448) Prec@1 69.531 (68.691) Prec@5 85.156 (87.069) Epoch: [87][8780/10010] Time 0.319 (0.328) Data 0.001 (0.001) Loss 1.5417 (1.3448) Prec@1 65.625 (68.691) Prec@5 82.031 (87.069) Epoch: [87][8790/10010] Time 0.320 (0.328) Data 0.000 (0.001) Loss 1.0395 (1.3448) Prec@1 75.000 (68.692) Prec@5 92.188 (87.069) Epoch: [87][8800/10010] Time 0.342 (0.328) Data 0.000 (0.001) Loss 1.4845 (1.3447) Prec@1 71.875 (68.693) Prec@5 82.812 (87.069) Epoch: [87][8810/10010] Time 0.318 (0.328) Data 0.000 (0.001) Loss 1.0924 (1.3448) Prec@1 76.562 (68.691) Prec@5 90.625 (87.066) Epoch: [87][8820/10010] Time 0.320 (0.328) Data 0.001 (0.001) Loss 1.2781 (1.3448) Prec@1 67.969 (68.691) Prec@5 89.062 (87.067) Epoch: [87][8830/10010] Time 0.320 (0.328) Data 0.000 (0.001) Loss 1.1934 (1.3447) Prec@1 73.438 (68.691) Prec@5 89.844 (87.068) Epoch: [87][8840/10010] Time 0.317 (0.328) Data 0.001 (0.001) Loss 1.2389 (1.3446) Prec@1 66.406 (68.694) Prec@5 89.844 (87.070) Epoch: [87][8850/10010] Time 0.316 (0.328) Data 0.000 (0.001) Loss 1.0559 (1.3445) Prec@1 72.656 (68.697) Prec@5 92.188 (87.072) Epoch: [87][8860/10010] Time 0.332 (0.328) Data 0.001 (0.001) Loss 1.3480 (1.3445) Prec@1 70.312 (68.695) Prec@5 87.500 (87.073) Epoch: [87][8870/10010] Time 0.330 (0.328) Data 0.001 (0.001) Loss 1.3415 (1.3445) Prec@1 67.969 (68.693) Prec@5 88.281 (87.072) Epoch: [87][8880/10010] Time 0.313 (0.328) Data 0.001 (0.001) Loss 1.6109 (1.3446) Prec@1 65.625 (68.691) Prec@5 85.156 (87.072) Epoch: [87][8890/10010] Time 0.317 (0.328) Data 0.001 (0.001) Loss 1.3063 (1.3445) Prec@1 61.719 (68.689) Prec@5 88.281 (87.073) Epoch: [87][8900/10010] Time 0.318 (0.328) Data 0.001 (0.001) Loss 1.2387 (1.3446) Prec@1 68.750 (68.689) Prec@5 92.969 (87.072) Epoch: [87][8910/10010] Time 0.335 (0.328) Data 0.000 (0.001) Loss 1.5397 (1.3446) Prec@1 61.719 (68.690) Prec@5 85.938 (87.073) Epoch: [87][8920/10010] Time 0.314 (0.328) Data 0.000 (0.001) Loss 1.1148 (1.3446) Prec@1 71.094 (68.688) Prec@5 89.062 (87.073) Epoch: [87][8930/10010] Time 0.326 (0.328) Data 0.001 (0.001) Loss 1.6273 (1.3446) Prec@1 63.281 (68.688) Prec@5 83.594 (87.073) Epoch: [87][8940/10010] Time 0.336 (0.328) Data 0.001 (0.001) Loss 1.2764 (1.3446) Prec@1 68.750 (68.689) Prec@5 90.625 (87.073) Epoch: [87][8950/10010] Time 0.335 (0.328) Data 0.000 (0.001) Loss 1.2173 (1.3446) Prec@1 70.312 (68.687) Prec@5 88.281 (87.073) Epoch: [87][8960/10010] Time 0.317 (0.328) Data 0.001 (0.001) Loss 1.3824 (1.3446) Prec@1 64.062 (68.687) Prec@5 88.281 (87.073) Epoch: [87][8970/10010] Time 0.323 (0.328) Data 0.001 (0.001) Loss 1.2578 (1.3446) Prec@1 69.531 (68.686) Prec@5 89.844 (87.074) Epoch: [87][8980/10010] Time 0.315 (0.328) Data 0.000 (0.001) Loss 1.4234 (1.3446) Prec@1 68.750 (68.686) Prec@5 91.406 (87.074) Epoch: [87][8990/10010] Time 0.316 (0.328) Data 0.001 (0.001) Loss 1.3644 (1.3446) Prec@1 69.531 (68.684) Prec@5 88.281 (87.075) Epoch: [87][9000/10010] Time 0.313 (0.328) Data 0.001 (0.001) Loss 1.3055 (1.3446) Prec@1 67.969 (68.685) Prec@5 85.938 (87.074) Epoch: [87][9010/10010] Time 0.338 (0.328) Data 0.000 (0.001) Loss 1.0655 (1.3445) Prec@1 73.438 (68.686) Prec@5 92.969 (87.075) Epoch: [87][9020/10010] Time 0.338 (0.328) Data 0.000 (0.001) Loss 1.1502 (1.3445) Prec@1 74.219 (68.686) Prec@5 89.062 (87.075) Epoch: [87][9030/10010] Time 0.332 (0.328) Data 0.001 (0.001) Loss 1.6839 (1.3445) Prec@1 65.625 (68.687) Prec@5 82.031 (87.075) Epoch: [87][9040/10010] Time 0.336 (0.328) Data 0.000 (0.001) Loss 1.7103 (1.3445) Prec@1 62.500 (68.685) Prec@5 75.781 (87.075) Epoch: [87][9050/10010] Time 0.337 (0.328) Data 0.001 (0.001) Loss 1.2552 (1.3445) Prec@1 66.406 (68.684) Prec@5 86.719 (87.074) Epoch: [87][9060/10010] Time 0.332 (0.328) Data 0.001 (0.001) Loss 1.4946 (1.3445) Prec@1 62.500 (68.684) Prec@5 82.031 (87.074) Epoch: [87][9070/10010] Time 0.320 (0.328) Data 0.001 (0.001) Loss 1.4170 (1.3445) Prec@1 71.875 (68.685) Prec@5 81.250 (87.074) Epoch: [87][9080/10010] Time 0.334 (0.328) Data 0.000 (0.001) Loss 1.3389 (1.3445) Prec@1 70.312 (68.686) Prec@5 87.500 (87.074) Epoch: [87][9090/10010] Time 0.317 (0.328) Data 0.001 (0.001) Loss 1.3317 (1.3445) Prec@1 71.094 (68.686) Prec@5 86.719 (87.074) Epoch: [87][9100/10010] Time 0.329 (0.328) Data 0.001 (0.001) Loss 1.2518 (1.3444) Prec@1 70.312 (68.687) Prec@5 89.062 (87.075) Epoch: [87][9110/10010] Time 0.328 (0.328) Data 0.001 (0.001) Loss 1.4429 (1.3444) Prec@1 67.188 (68.686) Prec@5 82.031 (87.075) Epoch: [87][9120/10010] Time 0.319 (0.328) Data 0.001 (0.001) Loss 1.1783 (1.3443) Prec@1 70.312 (68.686) Prec@5 90.625 (87.076) Epoch: [87][9130/10010] Time 0.321 (0.328) Data 0.001 (0.001) Loss 1.3762 (1.3444) Prec@1 65.625 (68.687) Prec@5 88.281 (87.076) Epoch: [87][9140/10010] Time 0.333 (0.328) Data 0.000 (0.001) Loss 1.6159 (1.3444) Prec@1 64.062 (68.686) Prec@5 82.031 (87.076) Epoch: [87][9150/10010] Time 0.330 (0.328) Data 0.001 (0.001) Loss 1.2888 (1.3444) Prec@1 68.750 (68.685) Prec@5 86.719 (87.076) Epoch: [87][9160/10010] Time 0.330 (0.328) Data 0.001 (0.001) Loss 1.3329 (1.3444) Prec@1 69.531 (68.684) Prec@5 86.719 (87.076) Epoch: [87][9170/10010] Time 0.316 (0.328) Data 0.001 (0.001) Loss 1.3126 (1.3444) Prec@1 67.969 (68.683) Prec@5 86.719 (87.074) Epoch: [87][9180/10010] Time 0.325 (0.328) Data 0.001 (0.001) Loss 1.4537 (1.3444) Prec@1 64.062 (68.685) Prec@5 87.500 (87.076) Epoch: [87][9190/10010] Time 0.328 (0.328) Data 0.001 (0.001) Loss 1.5916 (1.3444) Prec@1 64.062 (68.686) Prec@5 84.375 (87.077) Epoch: [87][9200/10010] Time 0.314 (0.328) Data 0.000 (0.001) Loss 1.4422 (1.3443) Prec@1 65.625 (68.688) Prec@5 87.500 (87.078) Epoch: [87][9210/10010] Time 0.321 (0.328) Data 0.001 (0.001) Loss 1.5341 (1.3443) Prec@1 64.062 (68.687) Prec@5 83.594 (87.077) Epoch: [87][9220/10010] Time 0.340 (0.328) Data 0.001 (0.001) Loss 1.4275 (1.3443) Prec@1 64.844 (68.690) Prec@5 87.500 (87.078) Epoch: [87][9230/10010] Time 0.333 (0.328) Data 0.000 (0.001) Loss 1.3277 (1.3442) Prec@1 69.531 (68.691) Prec@5 88.281 (87.078) Epoch: [87][9240/10010] Time 0.320 (0.328) Data 0.001 (0.001) Loss 1.3681 (1.3443) Prec@1 67.188 (68.689) Prec@5 85.938 (87.078) Epoch: [87][9250/10010] Time 0.319 (0.328) Data 0.001 (0.001) Loss 1.3688 (1.3443) Prec@1 66.406 (68.689) Prec@5 85.156 (87.078) Epoch: [87][9260/10010] Time 0.319 (0.328) Data 0.001 (0.001) Loss 1.2974 (1.3443) Prec@1 70.312 (68.688) Prec@5 86.719 (87.079) Epoch: [87][9270/10010] Time 0.321 (0.328) Data 0.001 (0.001) Loss 1.1140 (1.3443) Prec@1 71.094 (68.688) Prec@5 88.281 (87.079) Epoch: [87][9280/10010] Time 0.329 (0.328) Data 0.000 (0.001) Loss 1.3123 (1.3443) Prec@1 68.750 (68.688) Prec@5 89.844 (87.079) Epoch: [87][9290/10010] Time 0.326 (0.328) Data 0.000 (0.001) Loss 1.3932 (1.3443) Prec@1 71.094 (68.688) Prec@5 86.719 (87.079) Epoch: [87][9300/10010] Time 0.339 (0.328) Data 0.001 (0.001) Loss 1.4914 (1.3443) Prec@1 71.094 (68.689) Prec@5 85.938 (87.079) Epoch: [87][9310/10010] Time 0.323 (0.328) Data 0.001 (0.001) Loss 1.2213 (1.3443) Prec@1 73.438 (68.689) Prec@5 87.500 (87.081) Epoch: [87][9320/10010] Time 0.319 (0.328) Data 0.001 (0.001) Loss 1.3147 (1.3442) Prec@1 67.969 (68.688) Prec@5 85.938 (87.081) Epoch: [87][9330/10010] Time 0.318 (0.328) Data 0.000 (0.001) Loss 1.3866 (1.3443) Prec@1 65.625 (68.686) Prec@5 85.938 (87.080) Epoch: [87][9340/10010] Time 0.338 (0.328) Data 0.001 (0.001) Loss 1.1296 (1.3443) Prec@1 73.438 (68.685) Prec@5 89.844 (87.079) Epoch: [87][9350/10010] Time 0.340 (0.328) Data 0.000 (0.001) Loss 1.4655 (1.3443) Prec@1 65.625 (68.685) Prec@5 84.375 (87.080) Epoch: [87][9360/10010] Time 0.339 (0.328) Data 0.000 (0.001) Loss 1.5673 (1.3443) Prec@1 66.406 (68.684) Prec@5 84.375 (87.080) Epoch: [87][9370/10010] Time 0.319 (0.328) Data 0.000 (0.001) Loss 1.6442 (1.3443) Prec@1 66.406 (68.684) Prec@5 81.250 (87.079) Epoch: [87][9380/10010] Time 0.334 (0.328) Data 0.001 (0.001) Loss 1.1786 (1.3444) Prec@1 71.094 (68.684) Prec@5 89.844 (87.078) Epoch: [87][9390/10010] Time 0.319 (0.328) Data 0.001 (0.001) Loss 1.3590 (1.3444) Prec@1 69.531 (68.683) Prec@5 87.500 (87.077) Epoch: [87][9400/10010] Time 0.324 (0.328) Data 0.000 (0.001) Loss 1.2799 (1.3444) Prec@1 70.312 (68.682) Prec@5 88.281 (87.078) Epoch: [87][9410/10010] Time 0.310 (0.328) Data 0.001 (0.001) Loss 1.1931 (1.3443) Prec@1 71.094 (68.683) Prec@5 90.625 (87.080) Epoch: [87][9420/10010] Time 0.328 (0.328) Data 0.000 (0.001) Loss 1.1796 (1.3444) Prec@1 71.875 (68.683) Prec@5 89.844 (87.080) Epoch: [87][9430/10010] Time 0.330 (0.328) Data 0.001 (0.001) Loss 1.4412 (1.3445) Prec@1 64.062 (68.683) Prec@5 85.938 (87.078) Epoch: [87][9440/10010] Time 0.329 (0.328) Data 0.001 (0.001) Loss 1.3733 (1.3445) Prec@1 61.719 (68.682) Prec@5 89.844 (87.078) Epoch: [87][9450/10010] Time 0.318 (0.328) Data 0.001 (0.001) Loss 1.3033 (1.3445) Prec@1 75.781 (68.681) Prec@5 83.594 (87.077) Epoch: [87][9460/10010] Time 0.318 (0.328) Data 0.001 (0.001) Loss 1.2460 (1.3445) Prec@1 71.875 (68.683) Prec@5 91.406 (87.078) Epoch: [87][9470/10010] Time 0.326 (0.328) Data 0.001 (0.001) Loss 1.2131 (1.3445) Prec@1 76.562 (68.683) Prec@5 89.062 (87.077) Epoch: [87][9480/10010] Time 0.331 (0.328) Data 0.001 (0.001) Loss 1.2000 (1.3446) Prec@1 73.438 (68.681) Prec@5 89.844 (87.076) Epoch: [87][9490/10010] Time 0.313 (0.328) Data 0.000 (0.001) Loss 1.3222 (1.3446) Prec@1 66.406 (68.682) Prec@5 89.062 (87.076) Epoch: [87][9500/10010] Time 0.318 (0.328) Data 0.001 (0.001) Loss 1.6028 (1.3446) Prec@1 60.156 (68.682) Prec@5 82.031 (87.076) Epoch: [87][9510/10010] Time 0.330 (0.328) Data 0.000 (0.001) Loss 1.3571 (1.3446) Prec@1 71.094 (68.681) Prec@5 88.281 (87.076) Epoch: [87][9520/10010] Time 0.330 (0.328) Data 0.001 (0.001) Loss 1.2349 (1.3446) Prec@1 64.844 (68.680) Prec@5 89.062 (87.076) Epoch: [87][9530/10010] Time 0.335 (0.328) Data 0.001 (0.001) Loss 1.2547 (1.3446) Prec@1 71.094 (68.679) Prec@5 88.281 (87.076) Epoch: [87][9540/10010] Time 0.315 (0.328) Data 0.001 (0.001) Loss 1.4285 (1.3446) Prec@1 62.500 (68.678) Prec@5 90.625 (87.076) Epoch: [87][9550/10010] Time 0.328 (0.328) Data 0.000 (0.001) Loss 1.4621 (1.3446) Prec@1 72.656 (68.678) Prec@5 84.375 (87.077) Epoch: [87][9560/10010] Time 0.319 (0.328) Data 0.001 (0.001) Loss 1.4195 (1.3446) Prec@1 68.750 (68.678) Prec@5 88.281 (87.076) Epoch: [87][9570/10010] Time 0.338 (0.328) Data 0.000 (0.001) Loss 1.5642 (1.3447) Prec@1 60.156 (68.676) Prec@5 83.594 (87.075) Epoch: [87][9580/10010] Time 0.312 (0.328) Data 0.001 (0.001) Loss 1.4965 (1.3448) Prec@1 73.438 (68.673) Prec@5 82.812 (87.074) Epoch: [87][9590/10010] Time 0.331 (0.328) Data 0.000 (0.001) Loss 1.2762 (1.3449) Prec@1 69.531 (68.672) Prec@5 87.500 (87.074) Epoch: [87][9600/10010] Time 0.327 (0.328) Data 0.001 (0.001) Loss 1.7494 (1.3449) Prec@1 60.938 (68.670) Prec@5 81.250 (87.074) Epoch: [87][9610/10010] Time 0.331 (0.328) Data 0.001 (0.001) Loss 1.3079 (1.3450) Prec@1 68.750 (68.669) Prec@5 86.719 (87.073) Epoch: [87][9620/10010] Time 0.330 (0.328) Data 0.000 (0.001) Loss 1.1562 (1.3449) Prec@1 71.875 (68.671) Prec@5 87.500 (87.073) Epoch: [87][9630/10010] Time 0.309 (0.328) Data 0.000 (0.001) Loss 1.5024 (1.3450) Prec@1 62.500 (68.668) Prec@5 86.719 (87.072) Epoch: [87][9640/10010] Time 0.319 (0.327) Data 0.001 (0.001) Loss 1.1695 (1.3450) Prec@1 76.562 (68.669) Prec@5 88.281 (87.072) Epoch: [87][9650/10010] Time 0.325 (0.327) Data 0.001 (0.001) Loss 1.4391 (1.3450) Prec@1 65.625 (68.670) Prec@5 85.156 (87.073) Epoch: [87][9660/10010] Time 0.330 (0.327) Data 0.001 (0.001) Loss 1.4589 (1.3450) Prec@1 67.969 (68.669) Prec@5 82.812 (87.072) Epoch: [87][9670/10010] Time 0.321 (0.327) Data 0.001 (0.001) Loss 1.2324 (1.3451) Prec@1 74.219 (68.669) Prec@5 89.844 (87.070) Epoch: [87][9680/10010] Time 0.317 (0.327) Data 0.000 (0.001) Loss 1.4377 (1.3450) Prec@1 63.281 (68.669) Prec@5 82.031 (87.070) Epoch: [87][9690/10010] Time 0.337 (0.327) Data 0.000 (0.001) Loss 1.2687 (1.3450) Prec@1 72.656 (68.669) Prec@5 89.062 (87.070) Epoch: [87][9700/10010] Time 0.319 (0.327) Data 0.001 (0.001) Loss 0.8276 (1.3451) Prec@1 76.562 (68.667) Prec@5 95.312 (87.070) Epoch: [87][9710/10010] Time 0.332 (0.327) Data 0.001 (0.001) Loss 1.1948 (1.3451) Prec@1 69.531 (68.667) Prec@5 90.625 (87.070) Epoch: [87][9720/10010] Time 0.312 (0.327) Data 0.001 (0.001) Loss 1.6379 (1.3451) Prec@1 60.156 (68.667) Prec@5 80.469 (87.071) Epoch: [87][9730/10010] Time 0.323 (0.327) Data 0.001 (0.001) Loss 1.5273 (1.3451) Prec@1 66.406 (68.667) Prec@5 84.375 (87.070) Epoch: [87][9740/10010] Time 0.327 (0.327) Data 0.001 (0.001) Loss 1.2529 (1.3452) Prec@1 69.531 (68.664) Prec@5 88.281 (87.069) Epoch: [87][9750/10010] Time 0.333 (0.327) Data 0.001 (0.001) Loss 1.5330 (1.3452) Prec@1 62.500 (68.665) Prec@5 81.250 (87.069) Epoch: [87][9760/10010] Time 0.337 (0.327) Data 0.000 (0.001) Loss 1.1078 (1.3451) Prec@1 75.000 (68.666) Prec@5 91.406 (87.070) Epoch: [87][9770/10010] Time 0.321 (0.327) Data 0.001 (0.001) Loss 1.3301 (1.3451) Prec@1 67.188 (68.666) Prec@5 89.062 (87.070) Epoch: [87][9780/10010] Time 0.319 (0.327) Data 0.001 (0.001) Loss 1.3510 (1.3452) Prec@1 65.625 (68.665) Prec@5 86.719 (87.069) /data/vision/torralba/deepscene/lib/anaconda2/lib/python2.7/site-packages/PIL/TiffImagePlugin.py:692: UserWarning: Possibly corrupt EXIF data. Expecting to read 2555904 bytes but only got 0. Skipping tag 0 "Skipping tag %s" % (size, len(data), tag)) Epoch: [87][9790/10010] Time 0.329 (0.327) Data 0.003 (0.001) Loss 1.5743 (1.3453) Prec@1 69.531 (68.664) Prec@5 85.156 (87.068) Epoch: [87][9800/10010] Time 0.339 (0.327) Data 0.001 (0.001) Loss 1.0897 (1.3453) Prec@1 76.562 (68.666) Prec@5 88.281 (87.067) Epoch: [87][9810/10010] Time 0.328 (0.327) Data 0.001 (0.001) Loss 1.3817 (1.3454) Prec@1 72.656 (68.664) Prec@5 85.156 (87.066) Epoch: [87][9820/10010] Time 0.316 (0.327) Data 0.001 (0.001) Loss 1.2739 (1.3454) Prec@1 75.000 (68.665) Prec@5 88.281 (87.066) Epoch: [87][9830/10010] Time 0.340 (0.327) Data 0.000 (0.001) Loss 1.3963 (1.3454) Prec@1 67.969 (68.665) Prec@5 85.938 (87.064) Epoch: [87][9840/10010] Time 0.335 (0.327) Data 0.003 (0.001) Loss 1.4928 (1.3454) Prec@1 60.938 (68.665) Prec@5 84.375 (87.066) Epoch: [87][9850/10010] Time 0.335 (0.327) Data 0.000 (0.001) Loss 1.1907 (1.3453) Prec@1 71.094 (68.666) Prec@5 89.062 (87.068) Epoch: [87][9860/10010] Time 0.326 (0.327) Data 0.001 (0.001) Loss 1.3826 (1.3453) Prec@1 64.062 (68.665) Prec@5 89.062 (87.068) Epoch: [87][9870/10010] Time 0.321 (0.327) Data 0.001 (0.001) Loss 1.4462 (1.3452) Prec@1 64.062 (68.667) Prec@5 85.938 (87.068) Epoch: [87][9880/10010] Time 0.340 (0.327) Data 0.001 (0.001) Loss 1.3204 (1.3452) Prec@1 67.188 (68.668) Prec@5 86.719 (87.070) Epoch: [87][9890/10010] Time 0.313 (0.327) Data 0.001 (0.001) Loss 1.0435 (1.3452) Prec@1 76.562 (68.668) Prec@5 92.188 (87.069) Epoch: [87][9900/10010] Time 0.336 (0.327) Data 0.001 (0.001) Loss 1.3506 (1.3452) Prec@1 67.969 (68.668) Prec@5 88.281 (87.069) Epoch: [87][9910/10010] Time 0.320 (0.327) Data 0.001 (0.001) Loss 1.6724 (1.3453) Prec@1 67.188 (68.667) Prec@5 82.812 (87.069) Epoch: [87][9920/10010] Time 0.338 (0.327) Data 0.001 (0.001) Loss 1.5268 (1.3454) Prec@1 66.406 (68.665) Prec@5 82.031 (87.067) Epoch: [87][9930/10010] Time 0.323 (0.327) Data 0.001 (0.001) Loss 1.2483 (1.3454) Prec@1 70.312 (68.666) Prec@5 90.625 (87.067) Epoch: [87][9940/10010] Time 0.335 (0.327) Data 0.001 (0.001) Loss 1.0257 (1.3453) Prec@1 72.656 (68.666) Prec@5 92.188 (87.068) Epoch: [87][9950/10010] Time 0.328 (0.327) Data 0.001 (0.001) Loss 1.4070 (1.3454) Prec@1 67.188 (68.665) Prec@5 86.719 (87.067) Epoch: [87][9960/10010] Time 0.319 (0.327) Data 0.001 (0.001) Loss 1.0607 (1.3454) Prec@1 80.469 (68.665) Prec@5 90.625 (87.067) Epoch: [87][9970/10010] Time 0.322 (0.327) Data 0.001 (0.001) Loss 1.4482 (1.3454) Prec@1 70.312 (68.665) Prec@5 82.031 (87.067) Epoch: [87][9980/10010] Time 0.338 (0.327) Data 0.001 (0.001) Loss 1.4428 (1.3454) Prec@1 68.750 (68.665) Prec@5 85.156 (87.067) Epoch: [87][9990/10010] Time 0.319 (0.327) Data 0.001 (0.001) Loss 1.2931 (1.3454) Prec@1 69.531 (68.666) Prec@5 86.719 (87.068) Epoch: [87][10000/10010] Time 0.335 (0.327) Data 0.000 (0.001) Loss 1.0586 (1.3453) Prec@1 71.875 (68.667) Prec@5 89.844 (87.067) Test: [0/391] Time 1.326 (1.326) Loss 0.6586 (0.6586) Prec@1 85.156 (85.156) Prec@5 96.875 (96.875) Test: [10/391] Time 0.147 (0.233) Loss 1.1255 (0.6214) Prec@1 71.094 (84.162) Prec@5 91.406 (95.810) Test: [20/391] Time 0.105 (0.175) Loss 0.8484 (0.8698) Prec@1 75.781 (77.269) Prec@5 93.750 (93.155) Test: [30/391] Time 0.104 (0.156) Loss 1.6092 (0.9933) Prec@1 67.969 (74.093) Prec@5 83.594 (92.213) Test: [40/391] Time 0.099 (0.143) Loss 0.9000 (0.9024) Prec@1 78.906 (76.639) Prec@5 91.406 (92.912) Test: [50/391] Time 0.106 (0.136) Loss 0.5261 (0.9240) Prec@1 86.719 (76.777) Prec@5 96.094 (92.632) Test: [60/391] Time 0.105 (0.131) Loss 1.0500 (0.8786) Prec@1 76.562 (78.048) Prec@5 90.625 (93.046) Test: [70/391] Time 0.103 (0.128) Loss 1.2956 (0.9093) Prec@1 64.062 (76.959) Prec@5 92.188 (93.156) Test: [80/391] Time 0.100 (0.125) Loss 0.9667 (0.9224) Prec@1 77.344 (76.360) Prec@5 91.406 (93.210) Test: [90/391] Time 0.101 (0.123) Loss 1.2058 (0.9269) Prec@1 58.594 (76.185) Prec@5 93.750 (93.278) Test: [100/391] Time 0.101 (0.121) Loss 0.6558 (0.9181) Prec@1 85.156 (76.137) Prec@5 96.094 (93.518) Test: [110/391] Time 0.108 (0.119) Loss 1.3463 (0.9234) Prec@1 53.906 (75.845) Prec@5 90.625 (93.581) Test: [120/391] Time 0.102 (0.119) Loss 0.7300 (0.9187) Prec@1 78.906 (75.994) Prec@5 96.094 (93.627) Test: [130/391] Time 0.100 (0.117) Loss 0.4895 (0.9135) Prec@1 92.969 (76.270) Prec@5 95.312 (93.643) Test: [140/391] Time 0.105 (0.116) Loss 1.2588 (0.9139) Prec@1 63.281 (76.125) Prec@5 90.625 (93.672) Test: [150/391] Time 0.103 (0.116) Loss 1.0289 (0.9198) Prec@1 70.312 (76.138) Prec@5 91.406 (93.533) Test: [160/391] Time 0.104 (0.115) Loss 1.0597 (0.9295) Prec@1 73.438 (75.961) Prec@5 92.969 (93.420) Test: [170/391] Time 0.107 (0.115) Loss 1.8617 (0.9597) Prec@1 50.000 (75.270) Prec@5 82.812 (93.083) Test: [180/391] Time 0.106 (0.114) Loss 1.8723 (0.9887) Prec@1 59.375 (74.676) Prec@5 88.281 (92.757) Test: [190/391] Time 0.104 (0.113) Loss 1.8599 (1.0204) Prec@1 58.594 (74.022) Prec@5 84.375 (92.380) Test: [200/391] Time 0.101 (0.113) Loss 1.2121 (1.0528) Prec@1 64.844 (73.403) Prec@5 91.406 (91.970) Test: [210/391] Time 0.107 (0.113) Loss 1.5370 (1.0702) Prec@1 64.844 (73.101) Prec@5 85.938 (91.758) Test: [220/391] Time 0.104 (0.113) Loss 0.6049 (1.0797) Prec@1 84.375 (72.918) Prec@5 96.094 (91.548) Test: [230/391] Time 0.100 (0.112) Loss 2.0532 (1.0943) Prec@1 50.781 (72.639) Prec@5 82.031 (91.383) Test: [240/391] Time 0.113 (0.112) Loss 1.1608 (1.1017) Prec@1 77.344 (72.585) Prec@5 89.844 (91.238) Test: [250/391] Time 0.104 (0.112) Loss 1.0310 (1.1273) Prec@1 74.219 (71.937) Prec@5 89.844 (90.927) Test: [260/391] Time 0.164 (0.112) Loss 1.4354 (1.1427) Prec@1 67.969 (71.662) Prec@5 85.938 (90.730) Test: [270/391] Time 0.102 (0.112) Loss 1.8605 (1.1523) Prec@1 57.812 (71.425) Prec@5 85.938 (90.593) Test: [280/391] Time 0.103 (0.111) Loss 1.1890 (1.1589) Prec@1 66.406 (71.341) Prec@5 93.750 (90.517) Test: [290/391] Time 0.111 (0.111) Loss 1.5509 (1.1695) Prec@1 54.688 (71.145) Prec@5 89.844 (90.330) Test: [300/391] Time 0.102 (0.111) Loss 1.2261 (1.1789) Prec@1 75.781 (70.985) Prec@5 87.500 (90.192) Test: [310/391] Time 0.106 (0.111) Loss 1.6068 (1.1885) Prec@1 65.625 (70.810) Prec@5 82.031 (90.032) Test: [320/391] Time 0.105 (0.111) Loss 0.8001 (1.1973) Prec@1 81.250 (70.656) Prec@5 92.969 (89.917) Test: [330/391] Time 0.108 (0.111) Loss 1.8033 (1.2151) Prec@1 63.281 (70.296) Prec@5 81.250 (89.695) Test: [340/391] Time 0.108 (0.110) Loss 1.1674 (1.2206) Prec@1 63.281 (70.129) Prec@5 94.531 (89.624) Test: [350/391] Time 0.098 (0.110) Loss 1.2139 (1.2255) Prec@1 72.656 (70.108) Prec@5 89.844 (89.532) Test: [360/391] Time 0.101 (0.110) Loss 1.3741 (1.2334) Prec@1 60.156 (69.955) Prec@5 92.188 (89.452) Test: [370/391] Time 0.106 (0.110) Loss 1.1778 (1.2285) Prec@1 61.719 (69.999) Prec@5 94.531 (89.517) Test: [380/391] Time 0.106 (0.110) Loss 1.0477 (1.2305) Prec@1 75.000 (69.937) Prec@5 94.531 (89.475) Test: [390/391] Time 0.070 (0.110) Loss 1.7835 (1.2236) Prec@1 46.250 (70.112) Prec@5 83.750 (89.542) * Prec@1 70.112 Prec@5 89.542 Epoch: [88][0/10010] Time 2.682 (2.682) Data 2.492 (2.492) Loss 1.4363 (1.4363) Prec@1 65.625 (65.625) Prec@5 88.281 (88.281) Epoch: [88][10/10010] Time 0.318 (0.530) Data 0.001 (0.231) Loss 1.2718 (1.2740) Prec@1 69.531 (68.750) Prec@5 89.844 (88.068) Epoch: [88][20/10010] Time 0.318 (0.428) Data 0.001 (0.121) Loss 1.2939 (1.2763) Prec@1 71.094 (70.089) Prec@5 86.719 (87.537) Epoch: [88][30/10010] Time 0.314 (0.392) Data 0.001 (0.082) Loss 1.4067 (1.2979) Prec@1 68.750 (70.086) Prec@5 85.156 (87.198) Epoch: [88][40/10010] Time 0.321 (0.377) Data 0.001 (0.063) Loss 1.4057 (1.2950) Prec@1 63.281 (70.122) Prec@5 85.938 (87.329) Epoch: [88][50/10010] Time 0.321 (0.365) Data 0.000 (0.050) Loss 1.1506 (1.2844) Prec@1 69.531 (70.006) Prec@5 90.625 (87.546) Epoch: [88][60/10010] Time 0.337 (0.360) Data 0.001 (0.042) Loss 1.3455 (1.2867) Prec@1 67.188 (70.082) Prec@5 87.500 (87.654) Epoch: [88][70/10010] Time 0.340 (0.356) Data 0.001 (0.036) Loss 0.9675 (1.2817) Prec@1 77.344 (70.246) Prec@5 92.188 (87.885) Epoch: [88][80/10010] Time 0.332 (0.353) Data 0.001 (0.032) Loss 1.4106 (1.3013) Prec@1 59.375 (69.599) Prec@5 87.500 (87.645) Epoch: [88][90/10010] Time 0.314 (0.350) Data 0.001 (0.029) Loss 1.4210 (1.3194) Prec@1 67.969 (69.265) Prec@5 86.719 (87.260) Epoch: [88][100/10010] Time 0.330 (0.348) Data 0.001 (0.026) Loss 1.4405 (1.3181) Prec@1 61.719 (69.152) Prec@5 89.062 (87.314) Epoch: [88][110/10010] Time 0.320 (0.346) Data 0.000 (0.024) Loss 1.4030 (1.3189) Prec@1 69.531 (69.165) Prec@5 85.938 (87.303) Epoch: [88][120/10010] Time 0.320 (0.344) Data 0.001 (0.022) Loss 1.1785 (1.3204) Prec@1 74.219 (69.124) Prec@5 87.500 (87.184) Epoch: [88][130/10010] Time 0.328 (0.344) Data 0.000 (0.020) Loss 1.4467 (1.3212) Prec@1 64.844 (69.108) Prec@5 89.062 (87.166) Epoch: [88][140/10010] Time 0.338 (0.343) Data 0.000 (0.019) Loss 1.0180 (1.3134) Prec@1 71.094 (69.282) Prec@5 93.750 (87.312) Epoch: [88][150/10010] Time 0.335 (0.342) Data 0.000 (0.017) Loss 1.4454 (1.3200) Prec@1 65.625 (69.148) Prec@5 85.938 (87.267) Epoch: [88][160/10010] Time 0.325 (0.341) Data 0.001 (0.016) Loss 1.3810 (1.3217) Prec@1 71.875 (69.172) Prec@5 88.281 (87.209) Epoch: [88][170/10010] Time 0.331 (0.340) Data 0.001 (0.015) Loss 1.7161 (1.3236) Prec@1 63.281 (69.216) Prec@5 80.469 (87.189) Epoch: [88][180/10010] Time 0.333 (0.339) Data 0.000 (0.015) Loss 1.2362 (1.3248) Prec@1 67.188 (69.186) Prec@5 85.156 (87.159) Epoch: [88][190/10010] Time 0.314 (0.339) Data 0.001 (0.014) Loss 1.5457 (1.3249) Prec@1 66.406 (69.171) Prec@5 83.594 (87.169) Epoch: [88][200/10010] Time 0.325 (0.338) Data 0.001 (0.013) Loss 1.4728 (1.3276) Prec@1 64.844 (69.143) Prec@5 85.938 (87.166) Epoch: [88][210/10010] Time 0.314 (0.338) Data 0.001 (0.013) Loss 1.2720 (1.3255) Prec@1 68.750 (69.209) Prec@5 88.281 (87.211) Epoch: [88][220/10010] Time 0.313 (0.337) Data 0.001 (0.012) Loss 1.2753 (1.3275) Prec@1 67.969 (69.139) Prec@5 89.062 (87.196) Epoch: [88][230/10010] Time 0.325 (0.336) Data 0.001 (0.012) Loss 1.0830 (1.3253) Prec@1 74.219 (69.190) Prec@5 90.625 (87.233) Epoch: [88][240/10010] Time 0.323 (0.336) Data 0.000 (0.011) Loss 0.9561 (1.3217) Prec@1 75.000 (69.230) Prec@5 92.969 (87.286) Epoch: [88][250/10010] Time 0.318 (0.336) Data 0.000 (0.011) Loss 1.3479 (1.3170) Prec@1 68.750 (69.369) Prec@5 86.719 (87.388) Epoch: [88][260/10010] Time 0.323 (0.335) Data 0.001 (0.010) Loss 1.1765 (1.3169) Prec@1 69.531 (69.352) Prec@5 91.406 (87.380) Epoch: [88][270/10010] Time 0.319 (0.335) Data 0.001 (0.010) Loss 1.3375 (1.3204) Prec@1 65.625 (69.246) Prec@5 86.719 (87.347) Epoch: [88][280/10010] Time 0.323 (0.334) Data 0.001 (0.010) Loss 1.2132 (1.3211) Prec@1 75.000 (69.239) Prec@5 89.062 (87.353) Epoch: [88][290/10010] Time 0.324 (0.334) Data 0.001 (0.009) Loss 1.2165 (1.3231) Prec@1 70.312 (69.209) Prec@5 88.281 (87.339) Epoch: [88][300/10010] Time 0.325 (0.333) Data 0.000 (0.009) Loss 1.3214 (1.3225) Prec@1 71.094 (69.267) Prec@5 86.719 (87.329) Epoch: [88][310/10010] Time 0.342 (0.333) Data 0.000 (0.009) Loss 1.0085 (1.3223) Prec@1 74.219 (69.227) Prec@5 91.406 (87.349) Epoch: [88][320/10010] Time 0.322 (0.333) Data 0.001 (0.009) Loss 1.1457 (1.3220) Prec@1 71.094 (69.242) Prec@5 87.500 (87.315) Epoch: [88][330/10010] Time 0.310 (0.332) Data 0.001 (0.008) Loss 1.1304 (1.3211) Prec@1 72.656 (69.246) Prec@5 89.062 (87.311) Epoch: [88][340/10010] Time 0.334 (0.332) Data 0.000 (0.008) Loss 1.2937 (1.3228) Prec@1 65.625 (69.220) Prec@5 88.281 (87.308) Epoch: [88][350/10010] Time 0.321 (0.332) Data 0.000 (0.008) Loss 1.3090 (1.3212) Prec@1 73.438 (69.244) Prec@5 87.500 (87.333) Epoch: [88][360/10010] Time 0.320 (0.332) Data 0.001 (0.008) Loss 1.0005 (1.3192) Prec@1 75.781 (69.300) Prec@5 90.625 (87.357) Epoch: [88][370/10010] Time 0.325 (0.332) Data 0.001 (0.007) Loss 1.3174 (1.3205) Prec@1 71.094 (69.266) Prec@5 89.844 (87.363) Epoch: [88][380/10010] Time 0.327 (0.332) Data 0.001 (0.007) Loss 1.5300 (1.3212) Prec@1 64.844 (69.215) Prec@5 82.812 (87.356) Epoch: [88][390/10010] Time 0.337 (0.331) Data 0.001 (0.007) Loss 1.3973 (1.3247) Prec@1 71.875 (69.196) Prec@5 83.594 (87.304) Epoch: [88][400/10010] Time 0.327 (0.331) Data 0.001 (0.007) Loss 1.3737 (1.3255) Prec@1 68.750 (69.161) Prec@5 85.156 (87.255) Epoch: [88][410/10010] Time 0.319 (0.331) Data 0.001 (0.007) Loss 1.5932 (1.3272) Prec@1 67.188 (69.132) Prec@5 81.250 (87.224) Epoch: [88][420/10010] Time 0.322 (0.331) Data 0.000 (0.007) Loss 1.2770 (1.3270) Prec@1 75.000 (69.147) Prec@5 85.156 (87.220) Epoch: [88][430/10010] Time 0.327 (0.331) Data 0.001 (0.007) Loss 1.0954 (1.3269) Prec@1 73.438 (69.134) Prec@5 91.406 (87.226) Epoch: [88][440/10010] Time 0.317 (0.331) Data 0.001 (0.006) Loss 1.1703 (1.3254) Prec@1 70.312 (69.131) Prec@5 91.406 (87.259) Epoch: [88][450/10010] Time 0.339 (0.330) Data 0.001 (0.006) Loss 1.6630 (1.3253) Prec@1 63.281 (69.129) Prec@5 83.594 (87.287) Epoch: [88][460/10010] Time 0.316 (0.330) Data 0.001 (0.006) Loss 1.2721 (1.3247) Prec@1 71.875 (69.125) Prec@5 91.406 (87.312) Epoch: [88][470/10010] Time 0.332 (0.330) Data 0.001 (0.006) Loss 1.3854 (1.3245) Prec@1 61.719 (69.146) Prec@5 84.375 (87.327) Epoch: [88][480/10010] Time 0.331 (0.330) Data 0.001 (0.006) Loss 1.0903 (1.3245) Prec@1 75.000 (69.140) Prec@5 92.188 (87.339) Epoch: [88][490/10010] Time 0.317 (0.330) Data 0.000 (0.006) Loss 1.2276 (1.3242) Prec@1 73.438 (69.126) Prec@5 87.500 (87.344) Epoch: [88][500/10010] Time 0.323 (0.330) Data 0.000 (0.006) Loss 1.7137 (1.3258) Prec@1 61.719 (69.071) Prec@5 84.375 (87.335) Epoch: [88][510/10010] Time 0.338 (0.330) Data 0.001 (0.006) Loss 1.3745 (1.3261) Prec@1 69.531 (69.091) Prec@5 90.625 (87.324) Epoch: [88][520/10010] Time 0.324 (0.330) Data 0.001 (0.006) Loss 1.2241 (1.3249) Prec@1 72.656 (69.113) Prec@5 89.844 (87.355) Epoch: [88][530/10010] Time 0.339 (0.330) Data 0.001 (0.005) Loss 1.2995 (1.3259) Prec@1 67.188 (69.093) Prec@5 86.719 (87.346) Epoch: [88][540/10010] Time 0.320 (0.330) Data 0.000 (0.005) Loss 1.1885 (1.3258) Prec@1 67.188 (69.046) Prec@5 87.500 (87.344) Epoch: [88][550/10010] Time 0.319 (0.330) Data 0.001 (0.005) Loss 1.0815 (1.3251) Prec@1 75.781 (69.073) Prec@5 92.188 (87.351) Epoch: [88][560/10010] Time 0.336 (0.330) Data 0.001 (0.005) Loss 1.5053 (1.3262) Prec@1 62.500 (69.042) Prec@5 85.156 (87.343) Epoch: [88][570/10010] Time 0.338 (0.330) Data 0.000 (0.005) Loss 1.2082 (1.3249) Prec@1 73.438 (69.072) Prec@5 91.406 (87.377) Epoch: [88][580/10010] Time 0.318 (0.330) Data 0.001 (0.005) Loss 1.2719 (1.3249) Prec@1 64.844 (69.055) Prec@5 89.844 (87.395) Epoch: [88][590/10010] Time 0.324 (0.330) Data 0.001 (0.005) Loss 1.2514 (1.3231) Prec@1 67.188 (69.062) Prec@5 89.062 (87.409) Epoch: [88][600/10010] Time 0.330 (0.330) Data 0.000 (0.005) Loss 1.5562 (1.3230) Prec@1 62.500 (69.048) Prec@5 86.719 (87.404) Epoch: [88][610/10010] Time 0.325 (0.330) Data 0.001 (0.005) Loss 1.6527 (1.3227) Prec@1 62.500 (69.057) Prec@5 81.250 (87.394) Epoch: [88][620/10010] Time 0.331 (0.330) Data 0.001 (0.005) Loss 1.3203 (1.3226) Prec@1 60.938 (69.032) Prec@5 86.719 (87.409) Epoch: [88][630/10010] Time 0.335 (0.330) Data 0.001 (0.005) Loss 1.3128 (1.3233) Prec@1 67.969 (69.012) Prec@5 87.500 (87.415) Epoch: [88][640/10010] Time 0.329 (0.330) Data 0.001 (0.005) Loss 1.2090 (1.3229) Prec@1 73.438 (69.011) Prec@5 84.375 (87.423) Epoch: [88][650/10010] Time 0.325 (0.330) Data 0.001 (0.005) Loss 1.2958 (1.3228) Prec@1 69.531 (69.000) Prec@5 85.938 (87.429) Epoch: [88][660/10010] Time 0.316 (0.330) Data 0.001 (0.004) Loss 1.1790 (1.3224) Prec@1 73.438 (69.012) Prec@5 88.281 (87.427) Epoch: [88][670/10010] Time 0.330 (0.330) Data 0.001 (0.004) Loss 1.3766 (1.3233) Prec@1 71.875 (68.991) Prec@5 85.938 (87.414) Epoch: [88][680/10010] Time 0.319 (0.330) Data 0.001 (0.004) Loss 1.5129 (1.3238) Prec@1 65.625 (68.975) Prec@5 84.375 (87.416) Epoch: [88][690/10010] Time 0.329 (0.330) Data 0.000 (0.004) Loss 1.2498 (1.3243) Prec@1 71.875 (68.975) Prec@5 85.938 (87.396) Epoch: [88][700/10010] Time 0.342 (0.330) Data 0.000 (0.004) Loss 1.5286 (1.3255) Prec@1 64.062 (68.937) Prec@5 85.938 (87.380) Epoch: [88][710/10010] Time 0.333 (0.330) Data 0.001 (0.004) Loss 1.4327 (1.3249) Prec@1 67.188 (68.958) Prec@5 85.938 (87.378) Epoch: [88][720/10010] Time 0.316 (0.330) Data 0.000 (0.004) Loss 1.4635 (1.3246) Prec@1 60.938 (68.946) Prec@5 86.719 (87.385) Epoch: [88][730/10010] Time 0.346 (0.330) Data 0.000 (0.004) Loss 1.2819 (1.3240) Prec@1 71.094 (68.954) Prec@5 87.500 (87.407) Epoch: [88][740/10010] Time 0.310 (0.330) Data 0.000 (0.004) Loss 1.6102 (1.3253) Prec@1 63.281 (68.918) Prec@5 85.156 (87.392) Epoch: [88][750/10010] Time 0.331 (0.330) Data 0.001 (0.004) Loss 1.2600 (1.3236) Prec@1 62.500 (68.940) Prec@5 89.844 (87.412) Epoch: [88][760/10010] Time 0.340 (0.330) Data 0.001 (0.004) Loss 1.2422 (1.3237) Prec@1 71.875 (68.961) Prec@5 85.938 (87.394) Epoch: [88][770/10010] Time 0.318 (0.330) Data 0.000 (0.004) Loss 1.3288 (1.3244) Prec@1 67.188 (68.939) Prec@5 85.156 (87.393) Epoch: [88][780/10010] Time 0.314 (0.330) Data 0.001 (0.004) Loss 1.0998 (1.3239) Prec@1 75.000 (68.957) Prec@5 90.625 (87.400) Epoch: [88][790/10010] Time 0.333 (0.330) Data 0.001 (0.004) Loss 1.0770 (1.3239) Prec@1 76.562 (68.970) Prec@5 90.625 (87.406) Epoch: [88][800/10010] Time 0.317 (0.330) Data 0.001 (0.004) Loss 1.1913 (1.3233) Prec@1 72.656 (68.982) Prec@5 86.719 (87.405) Epoch: [88][810/10010] Time 0.337 (0.330) Data 0.000 (0.004) Loss 1.2668 (1.3230) Prec@1 70.312 (68.989) Prec@5 90.625 (87.404) Epoch: [88][820/10010] Time 0.333 (0.330) Data 0.000 (0.004) Loss 1.2669 (1.3227) Prec@1 67.969 (68.987) Prec@5 89.844 (87.422) Epoch: [88][830/10010] Time 0.316 (0.330) Data 0.001 (0.004) Loss 1.3891 (1.3226) Prec@1 67.969 (68.985) Prec@5 85.938 (87.413) Epoch: [88][840/10010] Time 0.334 (0.330) Data 0.001 (0.004) Loss 1.2480 (1.3228) Prec@1 67.188 (68.980) Prec@5 89.062 (87.409) Epoch: [88][850/10010] Time 0.338 (0.329) Data 0.000 (0.004) Loss 1.2263 (1.3228) Prec@1 64.844 (68.966) Prec@5 89.844 (87.412) Epoch: [88][860/10010] Time 0.335 (0.329) Data 0.001 (0.004) Loss 1.2492 (1.3226) Prec@1 70.312 (68.963) Prec@5 89.062 (87.415) Epoch: [88][870/10010] Time 0.325 (0.329) Data 0.000 (0.004) Loss 1.3066 (1.3225) Prec@1 64.062 (68.945) Prec@5 89.062 (87.417) Epoch: [88][880/10010] Time 0.324 (0.329) Data 0.001 (0.004) Loss 1.5796 (1.3235) Prec@1 67.969 (68.927) Prec@5 82.031 (87.400) Epoch: [88][890/10010] Time 0.314 (0.329) Data 0.000 (0.003) Loss 1.3776 (1.3242) Prec@1 67.969 (68.917) Prec@5 88.281 (87.403) Epoch: [88][900/10010] Time 0.343 (0.329) Data 0.000 (0.003) Loss 1.0313 (1.3246) Prec@1 73.438 (68.910) Prec@5 92.188 (87.390) Epoch: [88][910/10010] Time 0.316 (0.329) Data 0.001 (0.003) Loss 1.3530 (1.3245) Prec@1 67.188 (68.911) Prec@5 86.719 (87.401) Epoch: [88][920/10010] Time 0.319 (0.329) Data 0.001 (0.003) Loss 1.0007 (1.3241) Prec@1 78.125 (68.919) Prec@5 92.969 (87.397) Epoch: [88][930/10010] Time 0.324 (0.329) Data 0.001 (0.003) Loss 1.4464 (1.3242) Prec@1 66.406 (68.908) Prec@5 85.938 (87.397) Epoch: [88][940/10010] Time 0.336 (0.329) Data 0.001 (0.003) Loss 1.2288 (1.3243) Prec@1 69.531 (68.917) Prec@5 90.625 (87.392) Epoch: [88][950/10010] Time 0.332 (0.329) Data 0.001 (0.003) Loss 1.2198 (1.3252) Prec@1 67.969 (68.897) Prec@5 89.062 (87.379) Epoch: [88][960/10010] Time 0.321 (0.329) Data 0.001 (0.003) Loss 1.1764 (1.3249) Prec@1 71.875 (68.905) Prec@5 85.938 (87.376) Epoch: [88][970/10010] Time 0.316 (0.329) Data 0.001 (0.003) Loss 1.3012 (1.3246) Prec@1 69.531 (68.903) Prec@5 85.156 (87.362) Epoch: [88][980/10010] Time 0.318 (0.329) Data 0.001 (0.003) Loss 1.3331 (1.3246) Prec@1 71.875 (68.892) Prec@5 86.719 (87.357) Epoch: [88][990/10010] Time 0.315 (0.329) Data 0.001 (0.003) Loss 1.3346 (1.3240) Prec@1 71.094 (68.918) Prec@5 87.500 (87.368) Epoch: [88][1000/10010] Time 0.337 (0.329) Data 0.001 (0.003) Loss 1.4306 (1.3243) Prec@1 65.625 (68.905) Prec@5 84.375 (87.360) Epoch: [88][1010/10010] Time 0.329 (0.329) Data 0.001 (0.003) Loss 1.4552 (1.3242) Prec@1 64.844 (68.909) Prec@5 84.375 (87.356) Epoch: [88][1020/10010] Time 0.323 (0.329) Data 0.001 (0.003) Loss 1.2847 (1.3244) Prec@1 71.094 (68.921) Prec@5 88.281 (87.347) Epoch: [88][1030/10010] Time 0.319 (0.329) Data 0.001 (0.003) Loss 1.4805 (1.3252) Prec@1 66.406 (68.903) Prec@5 82.812 (87.333) Epoch: [88][1040/10010] Time 0.328 (0.329) Data 0.001 (0.003) Loss 1.4155 (1.3250) Prec@1 65.625 (68.889) Prec@5 89.062 (87.334) Epoch: [88][1050/10010] Time 0.340 (0.329) Data 0.001 (0.003) Loss 1.3654 (1.3252) Prec@1 72.656 (68.900) Prec@5 87.500 (87.331) Epoch: [88][1060/10010] Time 0.312 (0.329) Data 0.001 (0.003) Loss 1.4802 (1.3249) Prec@1 66.406 (68.912) Prec@5 82.812 (87.348) Epoch: [88][1070/10010] Time 0.312 (0.329) Data 0.001 (0.003) Loss 1.5231 (1.3249) Prec@1 64.844 (68.927) Prec@5 84.375 (87.353) Epoch: [88][1080/10010] Time 0.320 (0.328) Data 0.001 (0.003) Loss 1.3036 (1.3253) Prec@1 71.094 (68.923) Prec@5 87.500 (87.342) Epoch: [88][1090/10010] Time 0.340 (0.328) Data 0.001 (0.003) Loss 1.4289 (1.3261) Prec@1 67.188 (68.906) Prec@5 85.156 (87.326) Epoch: [88][1100/10010] Time 0.327 (0.328) Data 0.000 (0.003) Loss 1.2370 (1.3254) Prec@1 69.531 (68.910) Prec@5 85.938 (87.348) Epoch: [88][1110/10010] Time 0.325 (0.329) Data 0.001 (0.003) Loss 1.5057 (1.3256) Prec@1 67.188 (68.907) Prec@5 83.594 (87.345) Epoch: [88][1120/10010] Time 0.339 (0.328) Data 0.001 (0.003) Loss 1.5280 (1.3261) Prec@1 64.844 (68.903) Prec@5 85.938 (87.340) Epoch: [88][1130/10010] Time 0.323 (0.328) Data 0.001 (0.003) Loss 1.2457 (1.3258) Prec@1 67.188 (68.916) Prec@5 90.625 (87.346) Epoch: [88][1140/10010] Time 0.325 (0.328) Data 0.000 (0.003) Loss 1.3811 (1.3260) Prec@1 64.844 (68.901) Prec@5 87.500 (87.340) Epoch: [88][1150/10010] Time 0.340 (0.328) Data 0.001 (0.003) Loss 1.0913 (1.3261) Prec@1 73.438 (68.891) Prec@5 89.062 (87.335) Epoch: [88][1160/10010] Time 0.324 (0.328) Data 0.001 (0.003) Loss 1.1917 (1.3257) Prec@1 71.094 (68.899) Prec@5 89.844 (87.352) Epoch: [88][1170/10010] Time 0.321 (0.328) Data 0.001 (0.003) Loss 1.5977 (1.3259) Prec@1 64.844 (68.895) Prec@5 82.031 (87.341) Epoch: [88][1180/10010] Time 0.317 (0.328) Data 0.000 (0.003) Loss 1.3387 (1.3262) Prec@1 67.969 (68.890) Prec@5 86.719 (87.337) Epoch: [88][1190/10010] Time 0.340 (0.328) Data 0.001 (0.003) Loss 1.1082 (1.3262) Prec@1 70.312 (68.879) Prec@5 89.062 (87.335) Epoch: [88][1200/10010] Time 0.343 (0.328) Data 0.001 (0.003) Loss 1.5358 (1.3257) Prec@1 60.156 (68.882) Prec@5 84.375 (87.343) Epoch: [88][1210/10010] Time 0.312 (0.328) Data 0.001 (0.003) Loss 1.1750 (1.3258) Prec@1 75.000 (68.881) Prec@5 88.281 (87.344) Epoch: [88][1220/10010] Time 0.337 (0.328) Data 0.001 (0.003) Loss 1.2696 (1.3257) Prec@1 73.438 (68.887) Prec@5 87.500 (87.341) Epoch: [88][1230/10010] Time 0.321 (0.328) Data 0.001 (0.003) Loss 1.3938 (1.3267) Prec@1 68.750 (68.866) Prec@5 87.500 (87.332) Epoch: [88][1240/10010] Time 0.324 (0.329) Data 0.001 (0.003) Loss 1.3367 (1.3260) Prec@1 69.531 (68.883) Prec@5 87.500 (87.339) Epoch: [88][1250/10010] Time 0.331 (0.329) Data 0.000 (0.003) Loss 1.4495 (1.3253) Prec@1 63.281 (68.888) Prec@5 88.281 (87.349) Epoch: [88][1260/10010] Time 0.334 (0.329) Data 0.001 (0.003) Loss 1.4752 (1.3256) Prec@1 69.531 (68.890) Prec@5 82.031 (87.343) Epoch: [88][1270/10010] Time 0.337 (0.329) Data 0.001 (0.003) Loss 1.1571 (1.3251) Prec@1 74.219 (68.906) Prec@5 86.719 (87.340) Epoch: [88][1280/10010] Time 0.317 (0.329) Data 0.001 (0.003) Loss 1.5935 (1.3256) Prec@1 63.281 (68.894) Prec@5 82.812 (87.336) Epoch: [88][1290/10010] Time 0.332 (0.329) Data 0.000 (0.003) Loss 1.1696 (1.3251) Prec@1 71.875 (68.902) Prec@5 87.500 (87.338) Epoch: [88][1300/10010] Time 0.315 (0.329) Data 0.000 (0.003) Loss 1.3336 (1.3252) Prec@1 72.656 (68.916) Prec@5 85.156 (87.334) Epoch: [88][1310/10010] Time 0.315 (0.329) Data 0.000 (0.003) Loss 1.2040 (1.3255) Prec@1 68.750 (68.905) Prec@5 90.625 (87.327) Epoch: [88][1320/10010] Time 0.335 (0.328) Data 0.001 (0.003) Loss 1.6437 (1.3265) Prec@1 62.500 (68.888) Prec@5 84.375 (87.317) Epoch: [88][1330/10010] Time 0.320 (0.328) Data 0.001 (0.003) Loss 1.2060 (1.3266) Prec@1 72.656 (68.876) Prec@5 87.500 (87.315) Epoch: [88][1340/10010] Time 0.316 (0.328) Data 0.001 (0.003) Loss 1.3293 (1.3265) Prec@1 66.406 (68.875) Prec@5 86.719 (87.315) Epoch: [88][1350/10010] Time 0.321 (0.328) Data 0.001 (0.003) Loss 1.2566 (1.3269) Prec@1 68.750 (68.869) Prec@5 90.625 (87.313) Epoch: [88][1360/10010] Time 0.317 (0.328) Data 0.000 (0.002) Loss 1.3090 (1.3272) Prec@1 70.312 (68.858) Prec@5 85.156 (87.307) Epoch: [88][1370/10010] Time 0.321 (0.328) Data 0.001 (0.002) Loss 1.3642 (1.3265) Prec@1 68.750 (68.880) Prec@5 85.938 (87.321) Epoch: [88][1380/10010] Time 0.319 (0.328) Data 0.001 (0.002) Loss 1.4716 (1.3271) Prec@1 66.406 (68.867) Prec@5 87.500 (87.322) Epoch: [88][1390/10010] Time 0.325 (0.328) Data 0.000 (0.002) Loss 1.4853 (1.3270) Prec@1 64.844 (68.870) Prec@5 86.719 (87.328) Epoch: [88][1400/10010] Time 0.321 (0.328) Data 0.001 (0.002) Loss 1.6561 (1.3271) Prec@1 60.156 (68.862) Prec@5 82.812 (87.330) Epoch: [88][1410/10010] Time 0.341 (0.328) Data 0.000 (0.002) Loss 1.0413 (1.3269) Prec@1 70.312 (68.863) Prec@5 91.406 (87.331) Epoch: [88][1420/10010] Time 0.320 (0.328) Data 0.001 (0.002) Loss 1.4373 (1.3265) Prec@1 67.188 (68.875) Prec@5 85.156 (87.335) Epoch: [88][1430/10010] Time 0.321 (0.328) Data 0.000 (0.002) Loss 1.3416 (1.3271) Prec@1 64.844 (68.861) Prec@5 90.625 (87.325) Epoch: [88][1440/10010] Time 0.322 (0.328) Data 0.000 (0.002) Loss 1.1018 (1.3277) Prec@1 77.344 (68.861) Prec@5 90.625 (87.310) Epoch: [88][1450/10010] Time 0.338 (0.328) Data 0.001 (0.002) Loss 1.1330 (1.3271) Prec@1 73.438 (68.881) Prec@5 89.844 (87.322) Epoch: [88][1460/10010] Time 0.337 (0.328) Data 0.001 (0.002) Loss 1.2931 (1.3272) Prec@1 69.531 (68.880) Prec@5 88.281 (87.320) Epoch: [88][1470/10010] Time 0.318 (0.328) Data 0.001 (0.002) Loss 1.2024 (1.3273) Prec@1 71.094 (68.884) Prec@5 86.719 (87.313) Epoch: [88][1480/10010] Time 0.319 (0.328) Data 0.001 (0.002) Loss 0.9857 (1.3280) Prec@1 75.781 (68.868) Prec@5 91.406 (87.312) Epoch: [88][1490/10010] Time 0.334 (0.328) Data 0.001 (0.002) Loss 1.2098 (1.3275) Prec@1 71.094 (68.874) Prec@5 85.938 (87.318) Epoch: [88][1500/10010] Time 0.322 (0.328) Data 0.001 (0.002) Loss 1.0628 (1.3275) Prec@1 75.000 (68.867) Prec@5 89.844 (87.317) Epoch: [88][1510/10010] Time 0.314 (0.328) Data 0.001 (0.002) Loss 1.4284 (1.3278) Prec@1 64.062 (68.860) Prec@5 87.500 (87.312) Epoch: [88][1520/10010] Time 0.316 (0.328) Data 0.001 (0.002) Loss 1.1350 (1.3276) Prec@1 67.969 (68.860) Prec@5 90.625 (87.315) Epoch: [88][1530/10010] Time 0.341 (0.328) Data 0.000 (0.002) Loss 1.0056 (1.3278) Prec@1 75.781 (68.855) Prec@5 92.969 (87.315) Epoch: [88][1540/10010] Time 0.333 (0.328) Data 0.001 (0.002) Loss 1.0901 (1.3279) Prec@1 75.781 (68.847) Prec@5 88.281 (87.311) Epoch: [88][1550/10010] Time 0.332 (0.328) Data 0.001 (0.002) Loss 1.2466 (1.3280) Prec@1 72.656 (68.842) Prec@5 87.500 (87.309) Epoch: [88][1560/10010] Time 0.317 (0.328) Data 0.001 (0.002) Loss 1.3343 (1.3284) Prec@1 69.531 (68.839) Prec@5 88.281 (87.303) Epoch: [88][1570/10010] Time 0.333 (0.328) Data 0.001 (0.002) Loss 1.5121 (1.3285) Prec@1 65.625 (68.835) Prec@5 85.938 (87.307) Epoch: [88][1580/10010] Time 0.320 (0.328) Data 0.001 (0.002) Loss 1.5744 (1.3285) Prec@1 64.062 (68.844) Prec@5 85.938 (87.311) Epoch: [88][1590/10010] Time 0.316 (0.328) Data 0.000 (0.002) Loss 1.3658 (1.3292) Prec@1 72.656 (68.845) Prec@5 86.719 (87.308) Epoch: [88][1600/10010] Time 0.331 (0.328) Data 0.001 (0.002) Loss 1.3487 (1.3289) Prec@1 62.500 (68.847) Prec@5 85.938 (87.310) Epoch: [88][1610/10010] Time 0.312 (0.328) Data 0.001 (0.002) Loss 1.5607 (1.3290) Prec@1 66.406 (68.844) Prec@5 79.688 (87.306) Epoch: [88][1620/10010] Time 0.326 (0.328) Data 0.000 (0.002) Loss 1.3775 (1.3295) Prec@1 67.188 (68.833) Prec@5 86.719 (87.299) Epoch: [88][1630/10010] Time 0.328 (0.328) Data 0.000 (0.002) Loss 1.3194 (1.3300) Prec@1 68.750 (68.822) Prec@5 85.156 (87.292) Epoch: [88][1640/10010] Time 0.319 (0.328) Data 0.000 (0.002) Loss 1.5017 (1.3301) Prec@1 65.625 (68.817) Prec@5 83.594 (87.287) Epoch: [88][1650/10010] Time 0.337 (0.328) Data 0.000 (0.002) Loss 1.4647 (1.3303) Prec@1 60.938 (68.810) Prec@5 85.156 (87.281) Epoch: [88][1660/10010] Time 0.334 (0.328) Data 0.001 (0.002) Loss 1.5718 (1.3308) Prec@1 66.406 (68.804) Prec@5 83.594 (87.279) Epoch: [88][1670/10010] Time 0.321 (0.328) Data 0.001 (0.002) Loss 1.2882 (1.3315) Prec@1 67.969 (68.792) Prec@5 86.719 (87.271) Epoch: [88][1680/10010] Time 0.315 (0.328) Data 0.001 (0.002) Loss 1.3797 (1.3316) Prec@1 66.406 (68.783) Prec@5 87.500 (87.270) Epoch: [88][1690/10010] Time 0.315 (0.328) Data 0.000 (0.002) Loss 1.4124 (1.3318) Prec@1 71.094 (68.783) Prec@5 85.938 (87.260) Epoch: [88][1700/10010] Time 0.337 (0.328) Data 0.000 (0.002) Loss 1.3587 (1.3324) Prec@1 64.844 (68.774) Prec@5 87.500 (87.254) Epoch: [88][1710/10010] Time 0.339 (0.328) Data 0.000 (0.002) Loss 1.1110 (1.3323) Prec@1 71.875 (68.771) Prec@5 89.844 (87.258) Epoch: [88][1720/10010] Time 0.320 (0.328) Data 0.000 (0.002) Loss 1.0958 (1.3324) Prec@1 73.438 (68.770) Prec@5 89.062 (87.255) Epoch: [88][1730/10010] Time 0.340 (0.328) Data 0.000 (0.002) Loss 1.4869 (1.3324) Prec@1 62.500 (68.759) Prec@5 87.500 (87.260) Epoch: [88][1740/10010] Time 0.341 (0.328) Data 0.000 (0.002) Loss 1.2973 (1.3319) Prec@1 69.531 (68.774) Prec@5 88.281 (87.268) Epoch: [88][1750/10010] Time 0.321 (0.328) Data 0.000 (0.002) Loss 1.2707 (1.3320) Prec@1 71.875 (68.780) Prec@5 85.156 (87.262) Epoch: [88][1760/10010] Time 0.337 (0.328) Data 0.001 (0.002) Loss 1.3705 (1.3323) Prec@1 73.438 (68.773) Prec@5 88.281 (87.263) Epoch: [88][1770/10010] Time 0.322 (0.327) Data 0.000 (0.002) Loss 1.4114 (1.3323) Prec@1 69.531 (68.777) Prec@5 89.062 (87.263) Epoch: [88][1780/10010] Time 0.338 (0.327) Data 0.001 (0.002) Loss 1.3305 (1.3325) Prec@1 64.844 (68.775) Prec@5 85.156 (87.255) Epoch: [88][1790/10010] Time 0.338 (0.327) Data 0.000 (0.002) Loss 1.4096 (1.3332) Prec@1 64.844 (68.758) Prec@5 86.719 (87.245) Epoch: [88][1800/10010] Time 0.329 (0.327) Data 0.001 (0.002) Loss 1.2354 (1.3329) Prec@1 71.875 (68.766) Prec@5 88.281 (87.250) Epoch: [88][1810/10010] Time 0.323 (0.327) Data 0.001 (0.002) Loss 1.5592 (1.3329) Prec@1 65.625 (68.765) Prec@5 83.594 (87.252) Epoch: [88][1820/10010] Time 0.319 (0.327) Data 0.001 (0.002) Loss 1.5193 (1.3333) Prec@1 66.406 (68.758) Prec@5 85.156 (87.248) Epoch: [88][1830/10010] Time 0.316 (0.327) Data 0.000 (0.002) Loss 1.2940 (1.3331) Prec@1 67.188 (68.760) Prec@5 89.844 (87.249) Epoch: [88][1840/10010] Time 0.314 (0.327) Data 0.001 (0.002) Loss 1.2105 (1.3331) Prec@1 71.094 (68.769) Prec@5 89.062 (87.250) Epoch: [88][1850/10010] Time 0.323 (0.327) Data 0.001 (0.002) Loss 1.3627 (1.3338) Prec@1 69.531 (68.753) Prec@5 85.938 (87.231) Epoch: [88][1860/10010] Time 0.334 (0.327) Data 0.001 (0.002) Loss 1.4029 (1.3340) Prec@1 63.281 (68.747) Prec@5 87.500 (87.230) Epoch: [88][1870/10010] Time 0.332 (0.327) Data 0.001 (0.002) Loss 1.1246 (1.3341) Prec@1 75.781 (68.743) Prec@5 91.406 (87.227) Epoch: [88][1880/10010] Time 0.326 (0.327) Data 0.000 (0.002) Loss 1.1578 (1.3336) Prec@1 73.438 (68.753) Prec@5 89.062 (87.237) Epoch: [88][1890/10010] Time 0.338 (0.327) Data 0.001 (0.002) Loss 1.1064 (1.3338) Prec@1 71.094 (68.743) Prec@5 92.188 (87.234) Epoch: [88][1900/10010] Time 0.337 (0.327) Data 0.001 (0.002) Loss 1.2486 (1.3336) Prec@1 71.875 (68.749) Prec@5 85.938 (87.234) Epoch: [88][1910/10010] Time 0.333 (0.327) Data 0.000 (0.002) Loss 1.0641 (1.3331) Prec@1 73.438 (68.757) Prec@5 89.062 (87.233) Epoch: [88][1920/10010] Time 0.320 (0.327) Data 0.001 (0.002) Loss 1.2691 (1.3328) Prec@1 72.656 (68.765) Prec@5 84.375 (87.236) Epoch: [88][1930/10010] Time 0.324 (0.327) Data 0.001 (0.002) Loss 1.4172 (1.3328) Prec@1 65.625 (68.770) Prec@5 85.938 (87.234) Epoch: [88][1940/10010] Time 0.340 (0.327) Data 0.001 (0.002) Loss 1.2155 (1.3328) Prec@1 70.312 (68.778) Prec@5 89.062 (87.233) Epoch: [88][1950/10010] Time 0.317 (0.327) Data 0.000 (0.002) Loss 1.3678 (1.3329) Prec@1 64.844 (68.774) Prec@5 90.625 (87.235) Epoch: [88][1960/10010] Time 0.318 (0.327) Data 0.000 (0.002) Loss 1.1982 (1.3328) Prec@1 71.094 (68.774) Prec@5 85.156 (87.235) Epoch: [88][1970/10010] Time 0.320 (0.327) Data 0.001 (0.002) Loss 1.2593 (1.3325) Prec@1 74.219 (68.777) Prec@5 89.844 (87.239) Epoch: [88][1980/10010] Time 0.319 (0.327) Data 0.000 (0.002) Loss 1.4367 (1.3327) Prec@1 64.844 (68.780) Prec@5 85.938 (87.237) Epoch: [88][1990/10010] Time 0.338 (0.327) Data 0.000 (0.002) Loss 1.4897 (1.3326) Prec@1 64.062 (68.781) Prec@5 83.594 (87.237) Epoch: [88][2000/10010] Time 0.326 (0.327) Data 0.001 (0.002) Loss 1.0706 (1.3326) Prec@1 75.000 (68.788) Prec@5 88.281 (87.236) Epoch: [88][2010/10010] Time 0.333 (0.327) Data 0.000 (0.002) Loss 1.4828 (1.3323) Prec@1 67.188 (68.798) Prec@5 82.031 (87.237) Epoch: [88][2020/10010] Time 0.328 (0.327) Data 0.001 (0.002) Loss 1.1354 (1.3323) Prec@1 69.531 (68.795) Prec@5 90.625 (87.238) Epoch: [88][2030/10010] Time 0.316 (0.327) Data 0.001 (0.002) Loss 1.3218 (1.3321) Prec@1 67.969 (68.802) Prec@5 84.375 (87.242) Epoch: [88][2040/10010] Time 0.335 (0.327) Data 0.000 (0.002) Loss 0.9649 (1.3318) Prec@1 75.000 (68.809) Prec@5 89.844 (87.246) Epoch: [88][2050/10010] Time 0.316 (0.327) Data 0.001 (0.002) Loss 1.1263 (1.3320) Prec@1 71.094 (68.809) Prec@5 92.969 (87.245) Epoch: [88][2060/10010] Time 0.336 (0.327) Data 0.001 (0.002) Loss 1.5215 (1.3323) Prec@1 67.188 (68.805) Prec@5 83.594 (87.241) Epoch: [88][2070/10010] Time 0.313 (0.327) Data 0.001 (0.002) Loss 1.4326 (1.3325) Prec@1 65.625 (68.798) Prec@5 81.250 (87.239) Epoch: [88][2080/10010] Time 0.332 (0.327) Data 0.001 (0.002) Loss 1.4206 (1.3326) Prec@1 70.312 (68.795) Prec@5 83.594 (87.235) Epoch: [88][2090/10010] Time 0.328 (0.327) Data 0.001 (0.002) Loss 1.1743 (1.3322) Prec@1 71.875 (68.807) Prec@5 92.188 (87.240) Epoch: [88][2100/10010] Time 0.310 (0.327) Data 0.001 (0.002) Loss 1.3244 (1.3327) Prec@1 71.875 (68.802) Prec@5 89.844 (87.234) Epoch: [88][2110/10010] Time 0.321 (0.327) Data 0.000 (0.002) Loss 1.0286 (1.3327) Prec@1 75.000 (68.803) Prec@5 92.969 (87.235) Epoch: [88][2120/10010] Time 0.317 (0.327) Data 0.001 (0.002) Loss 1.2235 (1.3323) Prec@1 71.875 (68.817) Prec@5 87.500 (87.239) Epoch: [88][2130/10010] Time 0.335 (0.327) Data 0.001 (0.002) Loss 1.3222 (1.3326) Prec@1 64.844 (68.815) Prec@5 86.719 (87.240) Epoch: [88][2140/10010] Time 0.332 (0.327) Data 0.001 (0.002) Loss 1.4506 (1.3327) Prec@1 66.406 (68.814) Prec@5 85.938 (87.236) Epoch: [88][2150/10010] Time 0.336 (0.327) Data 0.000 (0.002) Loss 1.1208 (1.3331) Prec@1 71.875 (68.806) Prec@5 90.625 (87.234) Epoch: [88][2160/10010] Time 0.315 (0.327) Data 0.000 (0.002) Loss 1.5396 (1.3335) Prec@1 64.062 (68.794) Prec@5 82.031 (87.226) Epoch: [88][2170/10010] Time 0.316 (0.327) Data 0.001 (0.002) Loss 1.0372 (1.3338) Prec@1 74.219 (68.786) Prec@5 90.625 (87.220) Epoch: [88][2180/10010] Time 0.319 (0.327) Data 0.000 (0.002) Loss 1.4305 (1.3339) Prec@1 67.969 (68.789) Prec@5 82.812 (87.218) Epoch: [88][2190/10010] Time 0.318 (0.327) Data 0.000 (0.002) Loss 1.2780 (1.3337) Prec@1 71.875 (68.795) Prec@5 89.062 (87.224) Epoch: [88][2200/10010] Time 0.319 (0.327) Data 0.001 (0.002) Loss 1.3750 (1.3336) Prec@1 68.750 (68.804) Prec@5 87.500 (87.223) Epoch: [88][2210/10010] Time 0.338 (0.327) Data 0.001 (0.002) Loss 1.2353 (1.3333) Prec@1 69.531 (68.809) Prec@5 86.719 (87.224) Epoch: [88][2220/10010] Time 0.333 (0.327) Data 0.001 (0.002) Loss 1.4455 (1.3335) Prec@1 63.281 (68.799) Prec@5 85.938 (87.223) Epoch: [88][2230/10010] Time 0.307 (0.327) Data 0.000 (0.002) Loss 1.3252 (1.3335) Prec@1 65.625 (68.799) Prec@5 89.844 (87.222) Epoch: [88][2240/10010] Time 0.323 (0.327) Data 0.000 (0.002) Loss 1.5972 (1.3339) Prec@1 67.969 (68.793) Prec@5 83.594 (87.221) Epoch: [88][2250/10010] Time 0.328 (0.327) Data 0.001 (0.002) Loss 1.0776 (1.3336) Prec@1 71.875 (68.800) Prec@5 91.406 (87.228) Epoch: [88][2260/10010] Time 0.337 (0.327) Data 0.001 (0.002) Loss 1.0551 (1.3334) Prec@1 71.875 (68.802) Prec@5 89.062 (87.232) Epoch: [88][2270/10010] Time 0.322 (0.327) Data 0.000 (0.002) Loss 1.0467 (1.3331) Prec@1 71.094 (68.807) Prec@5 92.188 (87.235) Epoch: [88][2280/10010] Time 0.328 (0.327) Data 0.000 (0.002) Loss 1.3553 (1.3333) Prec@1 70.312 (68.799) Prec@5 83.594 (87.233) Epoch: [88][2290/10010] Time 0.310 (0.327) Data 0.001 (0.002) Loss 1.2386 (1.3338) Prec@1 72.656 (68.788) Prec@5 90.625 (87.225) Epoch: [88][2300/10010] Time 0.324 (0.327) Data 0.000 (0.002) Loss 1.3614 (1.3339) Prec@1 71.094 (68.787) Prec@5 84.375 (87.220) Epoch: [88][2310/10010] Time 0.321 (0.327) Data 0.001 (0.002) Loss 1.4481 (1.3339) Prec@1 64.062 (68.795) Prec@5 87.500 (87.220) Epoch: [88][2320/10010] Time 0.322 (0.327) Data 0.001 (0.002) Loss 1.2155 (1.3338) Prec@1 66.406 (68.792) Prec@5 91.406 (87.221) Epoch: [88][2330/10010] Time 0.317 (0.327) Data 0.001 (0.002) Loss 1.0606 (1.3337) Prec@1 77.344 (68.799) Prec@5 91.406 (87.223) Epoch: [88][2340/10010] Time 0.324 (0.327) Data 0.001 (0.002) Loss 1.3788 (1.3333) Prec@1 67.969 (68.804) Prec@5 84.375 (87.224) Epoch: [88][2350/10010] Time 0.341 (0.327) Data 0.000 (0.002) Loss 1.5852 (1.3335) Prec@1 60.156 (68.796) Prec@5 85.938 (87.222) Epoch: [88][2360/10010] Time 0.310 (0.327) Data 0.001 (0.002) Loss 1.5181 (1.3338) Prec@1 62.500 (68.791) Prec@5 86.719 (87.214) Epoch: [88][2370/10010] Time 0.321 (0.327) Data 0.001 (0.002) Loss 1.2951 (1.3341) Prec@1 64.844 (68.787) Prec@5 88.281 (87.209) Epoch: [88][2380/10010] Time 0.328 (0.327) Data 0.000 (0.002) Loss 1.1715 (1.3338) Prec@1 72.656 (68.799) Prec@5 89.062 (87.212) Epoch: [88][2390/10010] Time 0.334 (0.327) Data 0.001 (0.002) Loss 1.3310 (1.3340) Prec@1 71.094 (68.793) Prec@5 86.719 (87.207) Epoch: [88][2400/10010] Time 0.314 (0.327) Data 0.001 (0.002) Loss 1.3725 (1.3339) Prec@1 70.312 (68.797) Prec@5 85.156 (87.207) Epoch: [88][2410/10010] Time 0.313 (0.327) Data 0.001 (0.002) Loss 1.2525 (1.3341) Prec@1 70.312 (68.788) Prec@5 88.281 (87.204) Epoch: [88][2420/10010] Time 0.324 (0.327) Data 0.001 (0.002) Loss 1.2933 (1.3343) Prec@1 68.750 (68.786) Prec@5 87.500 (87.203) Epoch: [88][2430/10010] Time 0.331 (0.327) Data 0.000 (0.002) Loss 1.2079 (1.3343) Prec@1 70.312 (68.786) Prec@5 91.406 (87.205) Epoch: [88][2440/10010] Time 0.328 (0.327) Data 0.001 (0.002) Loss 1.2773 (1.3343) Prec@1 69.531 (68.792) Prec@5 88.281 (87.206) Epoch: [88][2450/10010] Time 0.321 (0.327) Data 0.001 (0.002) Loss 1.3761 (1.3347) Prec@1 66.406 (68.783) Prec@5 89.062 (87.206) Epoch: [88][2460/10010] Time 0.338 (0.327) Data 0.000 (0.002) Loss 1.5921 (1.3346) Prec@1 64.062 (68.782) Prec@5 82.812 (87.205) Epoch: [88][2470/10010] Time 0.337 (0.327) Data 0.000 (0.002) Loss 1.7161 (1.3345) Prec@1 64.844 (68.790) Prec@5 79.688 (87.205) Epoch: [88][2480/10010] Time 0.330 (0.327) Data 0.000 (0.002) Loss 1.0609 (1.3343) Prec@1 73.438 (68.794) Prec@5 90.625 (87.207) Epoch: [88][2490/10010] Time 0.328 (0.327) Data 0.000 (0.002) Loss 1.2374 (1.3342) Prec@1 72.656 (68.794) Prec@5 89.844 (87.211) Epoch: [88][2500/10010] Time 0.323 (0.327) Data 0.001 (0.002) Loss 1.2807 (1.3348) Prec@1 72.656 (68.781) Prec@5 85.156 (87.205) Epoch: [88][2510/10010] Time 0.335 (0.327) Data 0.000 (0.002) Loss 1.4395 (1.3349) Prec@1 67.969 (68.779) Prec@5 83.594 (87.203) Epoch: [88][2520/10010] Time 0.327 (0.327) Data 0.000 (0.002) Loss 1.3549 (1.3349) Prec@1 70.312 (68.780) Prec@5 86.719 (87.205) Epoch: [88][2530/10010] Time 0.338 (0.327) Data 0.000 (0.002) Loss 1.4072 (1.3349) Prec@1 65.625 (68.785) Prec@5 85.156 (87.205) Epoch: [88][2540/10010] Time 0.330 (0.327) Data 0.001 (0.002) Loss 1.0451 (1.3348) Prec@1 74.219 (68.782) Prec@5 89.844 (87.204) Epoch: [88][2550/10010] Time 0.325 (0.327) Data 0.001 (0.002) Loss 1.4496 (1.3350) Prec@1 70.312 (68.780) Prec@5 87.500 (87.204) Epoch: [88][2560/10010] Time 0.320 (0.327) Data 0.001 (0.002) Loss 1.3376 (1.3348) Prec@1 69.531 (68.788) Prec@5 89.062 (87.206) Epoch: [88][2570/10010] Time 0.320 (0.327) Data 0.000 (0.002) Loss 1.2522 (1.3349) Prec@1 67.969 (68.785) Prec@5 89.062 (87.203) Epoch: [88][2580/10010] Time 0.309 (0.327) Data 0.000 (0.002) Loss 1.1583 (1.3348) Prec@1 71.094 (68.784) Prec@5 91.406 (87.204) Epoch: [88][2590/10010] Time 0.338 (0.327) Data 0.001 (0.002) Loss 1.3343 (1.3348) Prec@1 68.750 (68.786) Prec@5 88.281 (87.204) Epoch: [88][2600/10010] Time 0.321 (0.327) Data 0.001 (0.002) Loss 1.2454 (1.3345) Prec@1 66.406 (68.793) Prec@5 89.062 (87.206) Epoch: [88][2610/10010] Time 0.336 (0.327) Data 0.000 (0.002) Loss 1.4921 (1.3347) Prec@1 66.406 (68.791) Prec@5 87.500 (87.206) Epoch: [88][2620/10010] Time 0.337 (0.327) Data 0.000 (0.002) Loss 0.9963 (1.3347) Prec@1 79.688 (68.790) Prec@5 92.969 (87.205) Epoch: [88][2630/10010] Time 0.321 (0.327) Data 0.000 (0.002) Loss 1.3551 (1.3346) Prec@1 70.312 (68.793) Prec@5 84.375 (87.206) Epoch: [88][2640/10010] Time 0.334 (0.327) Data 0.000 (0.002) Loss 1.0277 (1.3344) Prec@1 74.219 (68.793) Prec@5 91.406 (87.209) Epoch: [88][2650/10010] Time 0.312 (0.327) Data 0.001 (0.002) Loss 1.4990 (1.3346) Prec@1 75.781 (68.798) Prec@5 86.719 (87.210) Epoch: [88][2660/10010] Time 0.337 (0.327) Data 0.000 (0.002) Loss 1.0442 (1.3345) Prec@1 72.656 (68.798) Prec@5 92.188 (87.212) Epoch: [88][2670/10010] Time 0.313 (0.327) Data 0.001 (0.002) Loss 1.3446 (1.3347) Prec@1 67.188 (68.797) Prec@5 86.719 (87.210) Epoch: [88][2680/10010] Time 0.317 (0.327) Data 0.001 (0.002) Loss 1.3801 (1.3351) Prec@1 67.188 (68.794) Prec@5 86.719 (87.202) Epoch: [88][2690/10010] Time 0.321 (0.327) Data 0.001 (0.002) Loss 1.2414 (1.3348) Prec@1 68.750 (68.797) Prec@5 89.062 (87.208) Epoch: [88][2700/10010] Time 0.305 (0.327) Data 0.001 (0.002) Loss 1.2053 (1.3348) Prec@1 71.875 (68.797) Prec@5 87.500 (87.208) Epoch: [88][2710/10010] Time 0.338 (0.327) Data 0.001 (0.002) Loss 1.3044 (1.3350) Prec@1 64.844 (68.788) Prec@5 88.281 (87.206) Epoch: [88][2720/10010] Time 0.324 (0.327) Data 0.001 (0.002) Loss 1.6246 (1.3351) Prec@1 68.750 (68.788) Prec@5 82.812 (87.205) Epoch: [88][2730/10010] Time 0.343 (0.327) Data 0.001 (0.002) Loss 1.6293 (1.3353) Prec@1 62.500 (68.786) Prec@5 84.375 (87.205) Epoch: [88][2740/10010] Time 0.337 (0.327) Data 0.001 (0.002) Loss 1.2656 (1.3353) Prec@1 69.531 (68.790) Prec@5 92.188 (87.211) Epoch: [88][2750/10010] Time 0.322 (0.327) Data 0.001 (0.002) Loss 1.5067 (1.3354) Prec@1 61.719 (68.784) Prec@5 87.500 (87.208) Epoch: [88][2760/10010] Time 0.318 (0.327) Data 0.001 (0.002) Loss 1.4831 (1.3354) Prec@1 64.844 (68.788) Prec@5 85.938 (87.210) Epoch: [88][2770/10010] Time 0.311 (0.327) Data 0.001 (0.002) Loss 1.3271 (1.3355) Prec@1 69.531 (68.785) Prec@5 85.156 (87.205) Epoch: [88][2780/10010] Time 0.330 (0.327) Data 0.000 (0.002) Loss 1.1239 (1.3354) Prec@1 75.000 (68.788) Prec@5 92.188 (87.205) Epoch: [88][2790/10010] Time 0.329 (0.327) Data 0.001 (0.002) Loss 1.3594 (1.3355) Prec@1 64.062 (68.783) Prec@5 85.156 (87.200) Epoch: [88][2800/10010] Time 0.324 (0.327) Data 0.001 (0.002) Loss 1.5761 (1.3357) Prec@1 60.156 (68.778) Prec@5 85.938 (87.197) Epoch: [88][2810/10010] Time 0.322 (0.327) Data 0.000 (0.002) Loss 1.1878 (1.3357) Prec@1 69.531 (68.779) Prec@5 90.625 (87.196) Epoch: [88][2820/10010] Time 0.327 (0.327) Data 0.001 (0.002) Loss 1.3209 (1.3359) Prec@1 65.625 (68.772) Prec@5 89.844 (87.197) Epoch: [88][2830/10010] Time 0.337 (0.327) Data 0.001 (0.002) Loss 1.3108 (1.3360) Prec@1 68.750 (68.770) Prec@5 87.500 (87.194) Epoch: [88][2840/10010] Time 0.322 (0.327) Data 0.000 (0.002) Loss 1.1262 (1.3362) Prec@1 75.781 (68.766) Prec@5 89.844 (87.192) Epoch: [88][2850/10010] Time 0.341 (0.327) Data 0.000 (0.002) Loss 1.3822 (1.3361) Prec@1 65.625 (68.771) Prec@5 87.500 (87.195) Epoch: [88][2860/10010] Time 0.335 (0.327) Data 0.001 (0.002) Loss 1.2574 (1.3358) Prec@1 70.312 (68.779) Prec@5 88.281 (87.201) Epoch: [88][2870/10010] Time 0.320 (0.327) Data 0.001 (0.002) Loss 1.4017 (1.3358) Prec@1 65.625 (68.783) Prec@5 85.156 (87.202) Epoch: [88][2880/10010] Time 0.337 (0.327) Data 0.001 (0.002) Loss 1.4645 (1.3360) Prec@1 64.844 (68.780) Prec@5 83.594 (87.195) Epoch: [88][2890/10010] Time 0.338 (0.327) Data 0.000 (0.002) Loss 1.6846 (1.3358) Prec@1 61.719 (68.784) Prec@5 85.156 (87.195) Epoch: [88][2900/10010] Time 0.319 (0.327) Data 0.000 (0.002) Loss 1.1252 (1.3355) Prec@1 69.531 (68.783) Prec@5 91.406 (87.198) Epoch: [88][2910/10010] Time 0.339 (0.327) Data 0.001 (0.002) Loss 1.2277 (1.3354) Prec@1 72.656 (68.789) Prec@5 83.594 (87.195) Epoch: [88][2920/10010] Time 0.317 (0.327) Data 0.000 (0.001) Loss 1.2811 (1.3352) Prec@1 69.531 (68.787) Prec@5 88.281 (87.194) /data/vision/torralba/deepscene/lib/anaconda2/lib/python2.7/site-packages/PIL/TiffImagePlugin.py:692: UserWarning: Possibly corrupt EXIF data. Expecting to read 2555904 bytes but only got 0. Skipping tag 0 "Skipping tag %s" % (size, len(data), tag)) Epoch: [88][2930/10010] Time 0.316 (0.327) Data 0.000 (0.001) Loss 1.3484 (1.3353) Prec@1 70.312 (68.784) Prec@5 85.938 (87.195) Epoch: [88][2940/10010] Time 0.330 (0.327) Data 0.000 (0.001) Loss 1.5009 (1.3355) Prec@1 64.844 (68.780) Prec@5 84.375 (87.193) Epoch: [88][2950/10010] Time 0.326 (0.327) Data 0.001 (0.001) Loss 1.3986 (1.3357) Prec@1 67.969 (68.774) Prec@5 84.375 (87.191) Epoch: [88][2960/10010] Time 0.330 (0.327) Data 0.000 (0.001) Loss 1.1509 (1.3354) Prec@1 75.781 (68.775) Prec@5 89.844 (87.195) Epoch: [88][2970/10010] Time 0.318 (0.327) Data 0.000 (0.001) Loss 1.4441 (1.3356) Prec@1 66.406 (68.775) Prec@5 85.156 (87.192) Epoch: [88][2980/10010] Time 0.323 (0.327) Data 0.001 (0.001) Loss 1.6348 (1.3357) Prec@1 65.625 (68.770) Prec@5 82.031 (87.189) Epoch: [88][2990/10010] Time 0.335 (0.327) Data 0.001 (0.001) Loss 1.3526 (1.3355) Prec@1 70.312 (68.777) Prec@5 86.719 (87.187) Epoch: [88][3000/10010] Time 0.333 (0.327) Data 0.001 (0.001) Loss 1.5125 (1.3355) Prec@1 63.281 (68.777) Prec@5 86.719 (87.183) Epoch: [88][3010/10010] Time 0.323 (0.327) Data 0.001 (0.001) Loss 1.3920 (1.3357) Prec@1 67.969 (68.775) Prec@5 87.500 (87.181) Epoch: [88][3020/10010] Time 0.338 (0.327) Data 0.001 (0.001) Loss 1.2674 (1.3358) Prec@1 72.656 (68.774) Prec@5 87.500 (87.176) Epoch: [88][3030/10010] Time 0.314 (0.327) Data 0.001 (0.001) Loss 1.4378 (1.3357) Prec@1 69.531 (68.780) Prec@5 84.375 (87.175) Epoch: [88][3040/10010] Time 0.336 (0.327) Data 0.001 (0.001) Loss 1.5245 (1.3359) Prec@1 66.406 (68.779) Prec@5 82.812 (87.173) Epoch: [88][3050/10010] Time 0.321 (0.327) Data 0.001 (0.001) Loss 1.1674 (1.3361) Prec@1 67.188 (68.771) Prec@5 90.625 (87.167) Epoch: [88][3060/10010] Time 0.319 (0.327) Data 0.001 (0.001) Loss 1.4815 (1.3360) Prec@1 67.969 (68.771) Prec@5 86.719 (87.169) Epoch: [88][3070/10010] Time 0.336 (0.327) Data 0.001 (0.001) Loss 1.0476 (1.3361) Prec@1 70.312 (68.770) Prec@5 91.406 (87.168) Epoch: [88][3080/10010] Time 0.337 (0.327) Data 0.001 (0.001) Loss 1.4281 (1.3362) Prec@1 68.750 (68.767) Prec@5 87.500 (87.167) Epoch: [88][3090/10010] Time 0.326 (0.327) Data 0.000 (0.001) Loss 1.4065 (1.3361) Prec@1 69.531 (68.770) Prec@5 85.938 (87.166) Epoch: [88][3100/10010] Time 0.335 (0.327) Data 0.001 (0.001) Loss 1.4171 (1.3362) Prec@1 71.094 (68.766) Prec@5 85.938 (87.166) Epoch: [88][3110/10010] Time 0.317 (0.327) Data 0.001 (0.001) Loss 1.5175 (1.3363) Prec@1 64.062 (68.763) Prec@5 82.812 (87.166) Epoch: [88][3120/10010] Time 0.319 (0.327) Data 0.000 (0.001) Loss 1.4669 (1.3365) Prec@1 65.625 (68.761) Prec@5 83.594 (87.166) Epoch: [88][3130/10010] Time 0.323 (0.327) Data 0.001 (0.001) Loss 1.3148 (1.3363) Prec@1 67.188 (68.766) Prec@5 88.281 (87.165) Epoch: [88][3140/10010] Time 0.328 (0.327) Data 0.001 (0.001) Loss 1.3969 (1.3366) Prec@1 67.188 (68.757) Prec@5 85.156 (87.162) Epoch: [88][3150/10010] Time 0.326 (0.327) Data 0.000 (0.001) Loss 1.0519 (1.3365) Prec@1 77.344 (68.763) Prec@5 92.188 (87.163) Epoch: [88][3160/10010] Time 0.324 (0.327) Data 0.001 (0.001) Loss 1.7718 (1.3370) Prec@1 65.625 (68.754) Prec@5 79.688 (87.155) Epoch: [88][3170/10010] Time 0.327 (0.327) Data 0.000 (0.001) Loss 1.4763 (1.3370) Prec@1 65.625 (68.753) Prec@5 86.719 (87.160) Epoch: [88][3180/10010] Time 0.323 (0.327) Data 0.001 (0.001) Loss 1.2270 (1.3372) Prec@1 67.969 (68.750) Prec@5 90.625 (87.158) Epoch: [88][3190/10010] Time 0.338 (0.327) Data 0.000 (0.001) Loss 1.2273 (1.3372) Prec@1 66.406 (68.746) Prec@5 87.500 (87.158) Epoch: [88][3200/10010] Time 0.321 (0.327) Data 0.001 (0.001) Loss 1.2409 (1.3373) Prec@1 72.656 (68.745) Prec@5 87.500 (87.156) Epoch: [88][3210/10010] Time 0.331 (0.327) Data 0.001 (0.001) Loss 1.4163 (1.3371) Prec@1 65.625 (68.748) Prec@5 87.500 (87.159) Epoch: [88][3220/10010] Time 0.322 (0.327) Data 0.001 (0.001) Loss 1.2772 (1.3369) Prec@1 71.875 (68.754) Prec@5 86.719 (87.163) /data/vision/torralba/deepscene/lib/anaconda2/lib/python2.7/site-packages/PIL/TiffImagePlugin.py:692: UserWarning: Possibly corrupt EXIF data. Expecting to read 2555904 bytes but only got 0. Skipping tag 0 "Skipping tag %s" % (size, len(data), tag)) Epoch: [88][3230/10010] Time 0.327 (0.327) Data 0.000 (0.001) Loss 1.5490 (1.3369) Prec@1 64.062 (68.755) Prec@5 87.500 (87.165) Epoch: [88][3240/10010] Time 0.339 (0.327) Data 0.000 (0.001) Loss 0.9289 (1.3369) Prec@1 78.125 (68.757) Prec@5 93.750 (87.165) Epoch: [88][3250/10010] Time 0.312 (0.327) Data 0.001 (0.001) Loss 1.1625 (1.3368) Prec@1 71.094 (68.762) Prec@5 88.281 (87.169) Epoch: [88][3260/10010] Time 0.318 (0.327) Data 0.001 (0.001) Loss 1.6183 (1.3369) Prec@1 62.500 (68.762) Prec@5 84.375 (87.166) Epoch: [88][3270/10010] Time 0.334 (0.327) Data 0.001 (0.001) Loss 1.3220 (1.3371) Prec@1 65.625 (68.758) Prec@5 86.719 (87.163) Epoch: [88][3280/10010] Time 0.322 (0.327) Data 0.000 (0.001) Loss 1.3298 (1.3371) Prec@1 71.094 (68.759) Prec@5 89.062 (87.161) Epoch: [88][3290/10010] Time 0.321 (0.327) Data 0.000 (0.001) Loss 1.4168 (1.3373) Prec@1 64.844 (68.754) Prec@5 85.156 (87.161) Epoch: [88][3300/10010] Time 0.319 (0.327) Data 0.001 (0.001) Loss 1.4060 (1.3372) Prec@1 62.500 (68.755) Prec@5 83.594 (87.158) Epoch: [88][3310/10010] Time 0.323 (0.327) Data 0.000 (0.001) Loss 1.1989 (1.3372) Prec@1 71.875 (68.755) Prec@5 90.625 (87.158) Epoch: [88][3320/10010] Time 0.325 (0.327) Data 0.000 (0.001) Loss 1.0371 (1.3372) Prec@1 69.531 (68.754) Prec@5 91.406 (87.160) Epoch: [88][3330/10010] Time 0.338 (0.327) Data 0.001 (0.001) Loss 1.3963 (1.3371) Prec@1 64.062 (68.755) Prec@5 85.938 (87.160) Epoch: [88][3340/10010] Time 0.344 (0.327) Data 0.001 (0.001) Loss 1.3039 (1.3370) Prec@1 72.656 (68.759) Prec@5 87.500 (87.163) Epoch: [88][3350/10010] Time 0.332 (0.327) Data 0.001 (0.001) Loss 1.3323 (1.3375) Prec@1 72.656 (68.749) Prec@5 85.938 (87.159) Epoch: [88][3360/10010] Time 0.328 (0.327) Data 0.000 (0.001) Loss 1.2451 (1.3374) Prec@1 67.969 (68.748) Prec@5 90.625 (87.160) Epoch: [88][3370/10010] Time 0.318 (0.327) Data 0.000 (0.001) Loss 1.0774 (1.3373) Prec@1 71.094 (68.750) Prec@5 87.500 (87.163) Epoch: [88][3380/10010] Time 0.331 (0.327) Data 0.001 (0.001) Loss 1.4480 (1.3370) Prec@1 73.438 (68.758) Prec@5 84.375 (87.167) Epoch: [88][3390/10010] Time 0.319 (0.327) Data 0.001 (0.001) Loss 1.5390 (1.3370) Prec@1 64.844 (68.762) Prec@5 87.500 (87.167) Epoch: [88][3400/10010] Time 0.332 (0.327) Data 0.001 (0.001) Loss 1.4138 (1.3370) Prec@1 64.844 (68.760) Prec@5 88.281 (87.169) Epoch: [88][3410/10010] Time 0.317 (0.327) Data 0.000 (0.001) Loss 1.1050 (1.3370) Prec@1 78.125 (68.763) Prec@5 89.062 (87.169) Epoch: [88][3420/10010] Time 0.338 (0.327) Data 0.001 (0.001) Loss 1.5008 (1.3370) Prec@1 63.281 (68.762) Prec@5 81.250 (87.171) Epoch: [88][3430/10010] Time 0.324 (0.327) Data 0.001 (0.001) Loss 1.4854 (1.3372) Prec@1 66.406 (68.758) Prec@5 83.594 (87.166) Epoch: [88][3440/10010] Time 0.337 (0.327) Data 0.001 (0.001) Loss 1.3949 (1.3371) Prec@1 69.531 (68.763) Prec@5 85.156 (87.171) Epoch: [88][3450/10010] Time 0.331 (0.327) Data 0.000 (0.001) Loss 1.0575 (1.3370) Prec@1 78.906 (68.769) Prec@5 92.188 (87.174) Epoch: [88][3460/10010] Time 0.326 (0.327) Data 0.001 (0.001) Loss 1.2768 (1.3371) Prec@1 71.094 (68.766) Prec@5 89.844 (87.173) Epoch: [88][3470/10010] Time 0.337 (0.327) Data 0.000 (0.001) Loss 1.2789 (1.3368) Prec@1 72.656 (68.774) Prec@5 89.062 (87.174) Epoch: [88][3480/10010] Time 0.336 (0.327) Data 0.001 (0.001) Loss 1.1253 (1.3367) Prec@1 71.875 (68.774) Prec@5 94.531 (87.179) Epoch: [88][3490/10010] Time 0.337 (0.327) Data 0.000 (0.001) Loss 1.3920 (1.3371) Prec@1 72.656 (68.767) Prec@5 81.250 (87.171) Epoch: [88][3500/10010] Time 0.320 (0.327) Data 0.001 (0.001) Loss 1.3197 (1.3370) Prec@1 68.750 (68.772) Prec@5 84.375 (87.171) Epoch: [88][3510/10010] Time 0.332 (0.327) Data 0.000 (0.001) Loss 1.7325 (1.3372) Prec@1 63.281 (68.768) Prec@5 82.031 (87.165) Epoch: [88][3520/10010] Time 0.314 (0.327) Data 0.001 (0.001) Loss 1.1552 (1.3371) Prec@1 67.969 (68.768) Prec@5 90.625 (87.167) Epoch: [88][3530/10010] Time 0.325 (0.327) Data 0.001 (0.001) Loss 1.5576 (1.3372) Prec@1 64.844 (68.767) Prec@5 86.719 (87.167) Epoch: [88][3540/10010] Time 0.320 (0.327) Data 0.000 (0.001) Loss 1.5034 (1.3373) Prec@1 68.750 (68.763) Prec@5 85.938 (87.167) Epoch: [88][3550/10010] Time 0.332 (0.327) Data 0.001 (0.001) Loss 1.2968 (1.3374) Prec@1 66.406 (68.764) Prec@5 87.500 (87.165) Epoch: [88][3560/10010] Time 0.339 (0.327) Data 0.000 (0.001) Loss 1.5094 (1.3376) Prec@1 66.406 (68.759) Prec@5 85.156 (87.160) Epoch: [88][3570/10010] Time 0.316 (0.327) Data 0.001 (0.001) Loss 1.3362 (1.3376) Prec@1 73.438 (68.760) Prec@5 85.156 (87.158) Epoch: [88][3580/10010] Time 0.333 (0.327) Data 0.001 (0.001) Loss 1.4699 (1.3374) Prec@1 69.531 (68.763) Prec@5 85.938 (87.159) Epoch: [88][3590/10010] Time 0.338 (0.327) Data 0.000 (0.001) Loss 1.5303 (1.3376) Prec@1 61.719 (68.759) Prec@5 85.156 (87.158) Epoch: [88][3600/10010] Time 0.329 (0.327) Data 0.001 (0.001) Loss 1.6027 (1.3377) Prec@1 63.281 (68.757) Prec@5 85.156 (87.159) Epoch: [88][3610/10010] Time 0.312 (0.326) Data 0.001 (0.001) Loss 1.5778 (1.3378) Prec@1 62.500 (68.752) Prec@5 87.500 (87.161) Epoch: [88][3620/10010] Time 0.328 (0.326) Data 0.001 (0.001) Loss 1.5617 (1.3378) Prec@1 62.500 (68.751) Prec@5 83.594 (87.162) Epoch: [88][3630/10010] Time 0.322 (0.326) Data 0.001 (0.001) Loss 1.1245 (1.3377) Prec@1 73.438 (68.752) Prec@5 87.500 (87.163) Epoch: [88][3640/10010] Time 0.311 (0.326) Data 0.001 (0.001) Loss 1.0716 (1.3376) Prec@1 71.094 (68.758) Prec@5 90.625 (87.162) Epoch: [88][3650/10010] Time 0.320 (0.326) Data 0.000 (0.001) Loss 1.2758 (1.3379) Prec@1 71.094 (68.753) Prec@5 92.188 (87.159) Epoch: [88][3660/10010] Time 0.339 (0.326) Data 0.000 (0.001) Loss 1.2752 (1.3380) Prec@1 67.188 (68.749) Prec@5 88.281 (87.159) Epoch: [88][3670/10010] Time 0.319 (0.326) Data 0.001 (0.001) Loss 1.3303 (1.3380) Prec@1 68.750 (68.746) Prec@5 83.594 (87.158) Epoch: [88][3680/10010] Time 0.316 (0.326) Data 0.001 (0.001) Loss 1.5002 (1.3380) Prec@1 66.406 (68.744) Prec@5 85.938 (87.159) Epoch: [88][3690/10010] Time 0.315 (0.326) Data 0.001 (0.001) Loss 1.4398 (1.3382) Prec@1 66.406 (68.740) Prec@5 83.594 (87.158) Epoch: [88][3700/10010] Time 0.327 (0.326) Data 0.001 (0.001) Loss 1.5456 (1.3382) Prec@1 63.281 (68.740) Prec@5 85.938 (87.158) Epoch: [88][3710/10010] Time 0.321 (0.326) Data 0.000 (0.001) Loss 1.1663 (1.3380) Prec@1 71.875 (68.743) Prec@5 91.406 (87.162) Epoch: [88][3720/10010] Time 0.314 (0.326) Data 0.001 (0.001) Loss 1.4510 (1.3381) Prec@1 67.188 (68.743) Prec@5 86.719 (87.160) /data/vision/torralba/deepscene/lib/anaconda2/lib/python2.7/site-packages/PIL/TiffImagePlugin.py:692: UserWarning: Possibly corrupt EXIF data. Expecting to read 19660800 bytes but only got 0. Skipping tag 0 "Skipping tag %s" % (size, len(data), tag)) /data/vision/torralba/deepscene/lib/anaconda2/lib/python2.7/site-packages/PIL/TiffImagePlugin.py:692: UserWarning: Possibly corrupt EXIF data. Expecting to read 18481152 bytes but only got 0. Skipping tag 0 "Skipping tag %s" % (size, len(data), tag)) /data/vision/torralba/deepscene/lib/anaconda2/lib/python2.7/site-packages/PIL/TiffImagePlugin.py:692: UserWarning: Possibly corrupt EXIF data. Expecting to read 37093376 bytes but only got 0. Skipping tag 0 "Skipping tag %s" % (size, len(data), tag)) /data/vision/torralba/deepscene/lib/anaconda2/lib/python2.7/site-packages/PIL/TiffImagePlugin.py:692: UserWarning: Possibly corrupt EXIF data. Expecting to read 39976960 bytes but only got 0. Skipping tag 0 "Skipping tag %s" % (size, len(data), tag)) /data/vision/torralba/deepscene/lib/anaconda2/lib/python2.7/site-packages/PIL/TiffImagePlugin.py:692: UserWarning: Possibly corrupt EXIF data. Expecting to read 34865152 bytes but only got 0. Skipping tag 0 "Skipping tag %s" % (size, len(data), tag)) /data/vision/torralba/deepscene/lib/anaconda2/lib/python2.7/site-packages/PIL/TiffImagePlugin.py:709: UserWarning: Corrupt EXIF data. Expecting to read 12 bytes but only got 10. warnings.warn(str(msg)) Epoch: [88][3730/10010] Time 0.334 (0.326) Data 0.001 (0.001) Loss 1.2345 (1.3380) Prec@1 69.531 (68.745) Prec@5 86.719 (87.159) Epoch: [88][3740/10010] Time 0.320 (0.326) Data 0.001 (0.001) Loss 1.3052 (1.3381) Prec@1 67.188 (68.744) Prec@5 88.281 (87.156) Epoch: [88][3750/10010] Time 0.315 (0.326) Data 0.001 (0.001) Loss 1.4363 (1.3381) Prec@1 68.750 (68.745) Prec@5 84.375 (87.156) Epoch: [88][3760/10010] Time 0.340 (0.326) Data 0.000 (0.001) Loss 1.7121 (1.3382) Prec@1 58.594 (68.743) Prec@5 82.812 (87.153) Epoch: [88][3770/10010] Time 0.313 (0.326) Data 0.001 (0.001) Loss 1.5323 (1.3382) Prec@1 62.500 (68.743) Prec@5 85.156 (87.154) Epoch: [88][3780/10010] Time 0.342 (0.326) Data 0.001 (0.001) Loss 1.6284 (1.3382) Prec@1 67.969 (68.747) Prec@5 82.812 (87.153) Epoch: [88][3790/10010] Time 0.324 (0.326) Data 0.001 (0.001) Loss 1.2579 (1.3384) Prec@1 69.531 (68.745) Prec@5 86.719 (87.150) Epoch: [88][3800/10010] Time 0.339 (0.326) Data 0.000 (0.001) Loss 1.4311 (1.3383) Prec@1 71.875 (68.750) Prec@5 84.375 (87.151) Epoch: [88][3810/10010] Time 0.339 (0.326) Data 0.001 (0.001) Loss 1.4786 (1.3383) Prec@1 68.750 (68.753) Prec@5 82.812 (87.151) Epoch: [88][3820/10010] Time 0.321 (0.326) Data 0.000 (0.001) Loss 1.3605 (1.3381) Prec@1 64.062 (68.756) Prec@5 88.281 (87.154) Epoch: [88][3830/10010] Time 0.334 (0.326) Data 0.000 (0.001) Loss 1.1460 (1.3379) Prec@1 70.312 (68.755) Prec@5 89.844 (87.157) Epoch: [88][3840/10010] Time 0.321 (0.326) Data 0.001 (0.001) Loss 1.5984 (1.3380) Prec@1 62.500 (68.751) Prec@5 82.812 (87.159) Epoch: [88][3850/10010] Time 0.323 (0.326) Data 0.001 (0.001) Loss 1.0884 (1.3380) Prec@1 79.688 (68.752) Prec@5 92.188 (87.159) Epoch: [88][3860/10010] Time 0.319 (0.326) Data 0.001 (0.001) Loss 1.2528 (1.3378) Prec@1 71.875 (68.757) Prec@5 88.281 (87.164) Epoch: [88][3870/10010] Time 0.315 (0.326) Data 0.001 (0.001) Loss 1.5032 (1.3378) Prec@1 62.500 (68.755) Prec@5 84.375 (87.164) Epoch: [88][3880/10010] Time 0.323 (0.326) Data 0.001 (0.001) Loss 1.4405 (1.3379) Prec@1 65.625 (68.753) Prec@5 85.156 (87.162) Epoch: [88][3890/10010] Time 0.320 (0.326) Data 0.000 (0.001) Loss 1.2203 (1.3377) Prec@1 71.094 (68.761) Prec@5 89.844 (87.163) Epoch: [88][3900/10010] Time 0.336 (0.326) Data 0.000 (0.001) Loss 1.2765 (1.3377) Prec@1 60.156 (68.757) Prec@5 87.500 (87.166) Epoch: [88][3910/10010] Time 0.326 (0.326) Data 0.000 (0.001) Loss 1.5373 (1.3380) Prec@1 61.719 (68.751) Prec@5 85.938 (87.160) Epoch: [88][3920/10010] Time 0.319 (0.326) Data 0.000 (0.001) Loss 1.2542 (1.3380) Prec@1 69.531 (68.748) Prec@5 85.938 (87.161) Epoch: [88][3930/10010] Time 0.319 (0.326) Data 0.000 (0.001) Loss 1.3096 (1.3382) Prec@1 66.406 (68.746) Prec@5 89.062 (87.160) Epoch: [88][3940/10010] Time 0.321 (0.326) Data 0.000 (0.001) Loss 1.1460 (1.3379) Prec@1 71.875 (68.750) Prec@5 89.844 (87.164) Epoch: [88][3950/10010] Time 0.341 (0.326) Data 0.001 (0.001) Loss 1.0476 (1.3377) Prec@1 74.219 (68.755) Prec@5 91.406 (87.168) Epoch: [88][3960/10010] Time 0.330 (0.326) Data 0.001 (0.001) Loss 1.5112 (1.3378) Prec@1 61.719 (68.750) Prec@5 87.500 (87.170) Epoch: [88][3970/10010] Time 0.316 (0.326) Data 0.000 (0.001) Loss 1.1707 (1.3377) Prec@1 72.656 (68.751) Prec@5 90.625 (87.171) Epoch: [88][3980/10010] Time 0.340 (0.326) Data 0.001 (0.001) Loss 1.5003 (1.3378) Prec@1 68.750 (68.750) Prec@5 87.500 (87.170) Epoch: [88][3990/10010] Time 0.322 (0.326) Data 0.001 (0.001) Loss 1.3670 (1.3378) Prec@1 67.969 (68.749) Prec@5 86.719 (87.170) Epoch: [88][4000/10010] Time 0.315 (0.326) Data 0.001 (0.001) Loss 1.2742 (1.3378) Prec@1 64.062 (68.747) Prec@5 91.406 (87.171) Epoch: [88][4010/10010] Time 0.321 (0.326) Data 0.000 (0.001) Loss 1.0908 (1.3376) Prec@1 74.219 (68.754) Prec@5 90.625 (87.175) Epoch: [88][4020/10010] Time 0.315 (0.326) Data 0.001 (0.001) Loss 1.2610 (1.3376) Prec@1 71.875 (68.755) Prec@5 83.594 (87.176) Epoch: [88][4030/10010] Time 0.312 (0.326) Data 0.001 (0.001) Loss 1.2719 (1.3375) Prec@1 71.875 (68.760) Prec@5 89.062 (87.177) Epoch: [88][4040/10010] Time 0.334 (0.326) Data 0.001 (0.001) Loss 1.2195 (1.3375) Prec@1 72.656 (68.757) Prec@5 88.281 (87.178) Epoch: [88][4050/10010] Time 0.332 (0.326) Data 0.001 (0.001) Loss 1.1976 (1.3373) Prec@1 71.875 (68.762) Prec@5 87.500 (87.184) Epoch: [88][4060/10010] Time 0.315 (0.326) Data 0.000 (0.001) Loss 1.5453 (1.3373) Prec@1 68.750 (68.762) Prec@5 84.375 (87.183) Epoch: [88][4070/10010] Time 0.338 (0.326) Data 0.001 (0.001) Loss 1.0954 (1.3373) Prec@1 73.438 (68.765) Prec@5 89.062 (87.185) Epoch: [88][4080/10010] Time 0.309 (0.326) Data 0.001 (0.001) Loss 1.4791 (1.3375) Prec@1 66.406 (68.757) Prec@5 89.062 (87.183) Epoch: [88][4090/10010] Time 0.316 (0.326) Data 0.001 (0.001) Loss 1.3763 (1.3376) Prec@1 67.188 (68.755) Prec@5 84.375 (87.181) Epoch: [88][4100/10010] Time 0.338 (0.326) Data 0.001 (0.001) Loss 1.1406 (1.3377) Prec@1 69.531 (68.754) Prec@5 89.062 (87.181) Epoch: [88][4110/10010] Time 0.321 (0.326) Data 0.001 (0.001) Loss 1.2588 (1.3378) Prec@1 61.719 (68.752) Prec@5 90.625 (87.181) Epoch: [88][4120/10010] Time 0.323 (0.326) Data 0.001 (0.001) Loss 1.2840 (1.3380) Prec@1 68.750 (68.747) Prec@5 84.375 (87.179) Epoch: [88][4130/10010] Time 0.337 (0.326) Data 0.000 (0.001) Loss 1.3415 (1.3380) Prec@1 68.750 (68.750) Prec@5 84.375 (87.178) Epoch: [88][4140/10010] Time 0.327 (0.326) Data 0.000 (0.001) Loss 1.3628 (1.3380) Prec@1 67.188 (68.755) Prec@5 90.625 (87.179) Epoch: [88][4150/10010] Time 0.339 (0.326) Data 0.001 (0.001) Loss 1.2441 (1.3378) Prec@1 71.875 (68.760) Prec@5 89.062 (87.182) Epoch: [88][4160/10010] Time 0.323 (0.326) Data 0.001 (0.001) Loss 1.3822 (1.3379) Prec@1 66.406 (68.758) Prec@5 87.500 (87.180) Epoch: [88][4170/10010] Time 0.312 (0.326) Data 0.001 (0.001) Loss 1.5076 (1.3379) Prec@1 67.188 (68.759) Prec@5 85.156 (87.178) Epoch: [88][4180/10010] Time 0.329 (0.326) Data 0.000 (0.001) Loss 0.9852 (1.3377) Prec@1 78.906 (68.762) Prec@5 90.625 (87.185) Epoch: [88][4190/10010] Time 0.320 (0.326) Data 0.001 (0.001) Loss 1.2373 (1.3376) Prec@1 69.531 (68.763) Prec@5 89.062 (87.184) Epoch: [88][4200/10010] Time 0.330 (0.326) Data 0.001 (0.001) Loss 1.4932 (1.3376) Prec@1 64.844 (68.762) Prec@5 85.938 (87.181) Epoch: [88][4210/10010] Time 0.313 (0.326) Data 0.001 (0.001) Loss 1.1451 (1.3376) Prec@1 66.406 (68.759) Prec@5 90.625 (87.182) Epoch: [88][4220/10010] Time 0.316 (0.326) Data 0.001 (0.001) Loss 1.2681 (1.3376) Prec@1 64.844 (68.761) Prec@5 90.625 (87.185) Epoch: [88][4230/10010] Time 0.316 (0.326) Data 0.001 (0.001) Loss 1.1796 (1.3377) Prec@1 75.000 (68.760) Prec@5 90.625 (87.185) Epoch: [88][4240/10010] Time 0.321 (0.326) Data 0.000 (0.001) Loss 1.6951 (1.3377) Prec@1 64.062 (68.757) Prec@5 83.594 (87.184) Epoch: [88][4250/10010] Time 0.318 (0.326) Data 0.001 (0.001) Loss 1.2342 (1.3377) Prec@1 70.312 (68.761) Prec@5 85.938 (87.183) Epoch: [88][4260/10010] Time 0.324 (0.326) Data 0.000 (0.001) Loss 1.3545 (1.3377) Prec@1 64.844 (68.759) Prec@5 85.156 (87.184) Epoch: [88][4270/10010] Time 0.328 (0.326) Data 0.001 (0.001) Loss 1.3425 (1.3376) Prec@1 71.875 (68.763) Prec@5 89.062 (87.185) Epoch: [88][4280/10010] Time 0.334 (0.326) Data 0.000 (0.001) Loss 1.3425 (1.3375) Prec@1 72.656 (68.768) Prec@5 89.062 (87.188) Epoch: [88][4290/10010] Time 0.333 (0.326) Data 0.001 (0.001) Loss 1.4349 (1.3376) Prec@1 70.312 (68.769) Prec@5 83.594 (87.184) Epoch: [88][4300/10010] Time 0.334 (0.326) Data 0.000 (0.001) Loss 1.4926 (1.3377) Prec@1 66.406 (68.766) Prec@5 82.812 (87.182) Epoch: [88][4310/10010] Time 0.338 (0.326) Data 0.001 (0.001) Loss 1.3416 (1.3375) Prec@1 69.531 (68.770) Prec@5 85.938 (87.184) Epoch: [88][4320/10010] Time 0.339 (0.326) Data 0.001 (0.001) Loss 1.3653 (1.3375) Prec@1 67.188 (68.767) Prec@5 88.281 (87.186) Epoch: [88][4330/10010] Time 0.325 (0.326) Data 0.001 (0.001) Loss 1.1416 (1.3375) Prec@1 73.438 (68.769) Prec@5 91.406 (87.187) Epoch: [88][4340/10010] Time 0.339 (0.326) Data 0.000 (0.001) Loss 1.3158 (1.3373) Prec@1 68.750 (68.771) Prec@5 89.062 (87.192) Epoch: [88][4350/10010] Time 0.339 (0.326) Data 0.001 (0.001) Loss 1.4230 (1.3374) Prec@1 65.625 (68.766) Prec@5 88.281 (87.191) Epoch: [88][4360/10010] Time 0.330 (0.326) Data 0.001 (0.001) Loss 1.2566 (1.3372) Prec@1 69.531 (68.772) Prec@5 89.062 (87.194) Epoch: [88][4370/10010] Time 0.320 (0.326) Data 0.001 (0.001) Loss 1.5864 (1.3373) Prec@1 60.156 (68.770) Prec@5 82.812 (87.194) Epoch: [88][4380/10010] Time 0.333 (0.326) Data 0.001 (0.001) Loss 1.4463 (1.3373) Prec@1 70.312 (68.774) Prec@5 85.156 (87.193) Epoch: [88][4390/10010] Time 0.318 (0.326) Data 0.000 (0.001) Loss 1.3059 (1.3374) Prec@1 64.844 (68.769) Prec@5 89.062 (87.193) Epoch: [88][4400/10010] Time 0.321 (0.326) Data 0.001 (0.001) Loss 0.9998 (1.3374) Prec@1 78.125 (68.767) Prec@5 89.844 (87.192) Epoch: [88][4410/10010] Time 0.323 (0.326) Data 0.001 (0.001) Loss 1.4123 (1.3376) Prec@1 67.969 (68.766) Prec@5 88.281 (87.190) Epoch: [88][4420/10010] Time 0.324 (0.326) Data 0.001 (0.001) Loss 1.5911 (1.3378) Prec@1 67.188 (68.765) Prec@5 85.156 (87.186) Epoch: [88][4430/10010] Time 0.334 (0.326) Data 0.000 (0.001) Loss 1.3653 (1.3378) Prec@1 65.625 (68.762) Prec@5 87.500 (87.189) Epoch: [88][4440/10010] Time 0.316 (0.326) Data 0.001 (0.001) Loss 1.4647 (1.3378) Prec@1 72.656 (68.766) Prec@5 85.938 (87.189) Epoch: [88][4450/10010] Time 0.336 (0.326) Data 0.000 (0.001) Loss 1.0076 (1.3376) Prec@1 77.344 (68.768) Prec@5 90.625 (87.191) Epoch: [88][4460/10010] Time 0.328 (0.326) Data 0.000 (0.001) Loss 1.4610 (1.3376) Prec@1 68.750 (68.768) Prec@5 86.719 (87.193) Epoch: [88][4470/10010] Time 0.339 (0.326) Data 0.001 (0.001) Loss 1.3317 (1.3377) Prec@1 65.625 (68.768) Prec@5 88.281 (87.192) Epoch: [88][4480/10010] Time 0.316 (0.326) Data 0.001 (0.001) Loss 1.4538 (1.3377) Prec@1 66.406 (68.768) Prec@5 87.500 (87.192) Epoch: [88][4490/10010] Time 0.321 (0.326) Data 0.001 (0.001) Loss 1.1247 (1.3374) Prec@1 70.312 (68.774) Prec@5 91.406 (87.197) Epoch: [88][4500/10010] Time 0.326 (0.326) Data 0.000 (0.001) Loss 1.0057 (1.3371) Prec@1 74.219 (68.781) Prec@5 90.625 (87.200) Epoch: [88][4510/10010] Time 0.327 (0.326) Data 0.001 (0.001) Loss 1.2481 (1.3371) Prec@1 70.312 (68.782) Prec@5 88.281 (87.201) Epoch: [88][4520/10010] Time 0.337 (0.326) Data 0.000 (0.001) Loss 1.2395 (1.3371) Prec@1 71.094 (68.783) Prec@5 88.281 (87.199) Epoch: [88][4530/10010] Time 0.320 (0.326) Data 0.000 (0.001) Loss 1.3713 (1.3370) Prec@1 66.406 (68.783) Prec@5 87.500 (87.202) Epoch: [88][4540/10010] Time 0.316 (0.326) Data 0.001 (0.001) Loss 1.2687 (1.3370) Prec@1 66.406 (68.783) Prec@5 89.062 (87.203) Epoch: [88][4550/10010] Time 0.319 (0.326) Data 0.001 (0.001) Loss 1.4175 (1.3371) Prec@1 71.094 (68.782) Prec@5 85.938 (87.202) Epoch: [88][4560/10010] Time 0.325 (0.326) Data 0.001 (0.001) Loss 1.4249 (1.3372) Prec@1 67.969 (68.779) Prec@5 85.156 (87.200) Epoch: [88][4570/10010] Time 0.330 (0.326) Data 0.000 (0.001) Loss 1.1795 (1.3374) Prec@1 71.875 (68.776) Prec@5 89.062 (87.199) Epoch: [88][4580/10010] Time 0.317 (0.326) Data 0.001 (0.001) Loss 1.3029 (1.3376) Prec@1 65.625 (68.771) Prec@5 91.406 (87.198) Epoch: [88][4590/10010] Time 0.318 (0.326) Data 0.001 (0.001) Loss 1.4567 (1.3377) Prec@1 64.844 (68.768) Prec@5 85.938 (87.196) Epoch: [88][4600/10010] Time 0.334 (0.326) Data 0.001 (0.001) Loss 1.3089 (1.3377) Prec@1 68.750 (68.768) Prec@5 86.719 (87.196) Epoch: [88][4610/10010] Time 0.326 (0.326) Data 0.000 (0.001) Loss 1.4148 (1.3378) Prec@1 68.750 (68.766) Prec@5 85.938 (87.194) Epoch: [88][4620/10010] Time 0.306 (0.326) Data 0.001 (0.001) Loss 1.1507 (1.3380) Prec@1 71.094 (68.764) Prec@5 89.844 (87.192) Epoch: [88][4630/10010] Time 0.325 (0.326) Data 0.000 (0.001) Loss 1.3506 (1.3380) Prec@1 65.625 (68.767) Prec@5 86.719 (87.193) Epoch: [88][4640/10010] Time 0.331 (0.326) Data 0.001 (0.001) Loss 1.3460 (1.3379) Prec@1 68.750 (68.771) Prec@5 89.062 (87.194) Epoch: [88][4650/10010] Time 0.332 (0.326) Data 0.000 (0.001) Loss 1.2072 (1.3379) Prec@1 75.781 (68.772) Prec@5 87.500 (87.195) Epoch: [88][4660/10010] Time 0.337 (0.326) Data 0.000 (0.001) Loss 1.1787 (1.3378) Prec@1 71.875 (68.772) Prec@5 91.406 (87.195) Epoch: [88][4670/10010] Time 0.317 (0.326) Data 0.000 (0.001) Loss 1.6332 (1.3378) Prec@1 67.188 (68.772) Prec@5 81.250 (87.194) Epoch: [88][4680/10010] Time 0.318 (0.326) Data 0.001 (0.001) Loss 1.3324 (1.3379) Prec@1 66.406 (68.773) Prec@5 89.062 (87.193) Epoch: [88][4690/10010] Time 0.331 (0.326) Data 0.000 (0.001) Loss 1.1593 (1.3379) Prec@1 76.562 (68.773) Prec@5 90.625 (87.192) Epoch: [88][4700/10010] Time 0.336 (0.326) Data 0.001 (0.001) Loss 1.2599 (1.3379) Prec@1 68.750 (68.773) Prec@5 89.844 (87.192) Epoch: [88][4710/10010] Time 0.322 (0.326) Data 0.001 (0.001) Loss 1.1525 (1.3379) Prec@1 74.219 (68.774) Prec@5 90.625 (87.191) Epoch: [88][4720/10010] Time 0.340 (0.326) Data 0.000 (0.001) Loss 1.6431 (1.3378) Prec@1 62.500 (68.775) Prec@5 83.594 (87.192) Epoch: [88][4730/10010] Time 0.324 (0.326) Data 0.000 (0.001) Loss 1.2464 (1.3376) Prec@1 66.406 (68.779) Prec@5 90.625 (87.196) Epoch: [88][4740/10010] Time 0.326 (0.326) Data 0.001 (0.001) Loss 1.2846 (1.3376) Prec@1 69.531 (68.780) Prec@5 86.719 (87.197) Epoch: [88][4750/10010] Time 0.328 (0.326) Data 0.001 (0.001) Loss 1.4868 (1.3375) Prec@1 65.625 (68.779) Prec@5 83.594 (87.198) Epoch: [88][4760/10010] Time 0.336 (0.326) Data 0.001 (0.001) Loss 1.4341 (1.3375) Prec@1 72.656 (68.781) Prec@5 83.594 (87.197) Epoch: [88][4770/10010] Time 0.328 (0.326) Data 0.000 (0.001) Loss 1.4777 (1.3375) Prec@1 69.531 (68.781) Prec@5 83.594 (87.197) Epoch: [88][4780/10010] Time 0.333 (0.326) Data 0.001 (0.001) Loss 1.2422 (1.3376) Prec@1 71.094 (68.780) Prec@5 89.844 (87.195) Epoch: [88][4790/10010] Time 0.313 (0.326) Data 0.001 (0.001) Loss 1.1268 (1.3376) Prec@1 73.438 (68.781) Prec@5 89.062 (87.194) Epoch: [88][4800/10010] Time 0.319 (0.326) Data 0.000 (0.001) Loss 1.6079 (1.3378) Prec@1 63.281 (68.779) Prec@5 86.719 (87.194) Epoch: [88][4810/10010] Time 0.320 (0.326) Data 0.000 (0.001) Loss 1.4252 (1.3380) Prec@1 65.625 (68.777) Prec@5 88.281 (87.190) Epoch: [88][4820/10010] Time 0.314 (0.326) Data 0.001 (0.001) Loss 1.0410 (1.3379) Prec@1 68.750 (68.777) Prec@5 90.625 (87.189) Epoch: [88][4830/10010] Time 0.341 (0.326) Data 0.000 (0.001) Loss 1.0466 (1.3380) Prec@1 71.875 (68.776) Prec@5 91.406 (87.187) Epoch: [88][4840/10010] Time 0.320 (0.326) Data 0.001 (0.001) Loss 1.1278 (1.3378) Prec@1 76.562 (68.780) Prec@5 88.281 (87.190) Epoch: [88][4850/10010] Time 0.321 (0.326) Data 0.000 (0.001) Loss 1.0060 (1.3377) Prec@1 74.219 (68.783) Prec@5 92.188 (87.189) Epoch: [88][4860/10010] Time 0.325 (0.326) Data 0.001 (0.001) Loss 1.0821 (1.3375) Prec@1 71.094 (68.784) Prec@5 93.750 (87.191) Epoch: [88][4870/10010] Time 0.313 (0.326) Data 0.001 (0.001) Loss 1.5623 (1.3375) Prec@1 61.719 (68.784) Prec@5 81.250 (87.192) Epoch: [88][4880/10010] Time 0.338 (0.326) Data 0.000 (0.001) Loss 1.2469 (1.3374) Prec@1 67.969 (68.789) Prec@5 86.719 (87.193) Epoch: [88][4890/10010] Time 0.328 (0.326) Data 0.000 (0.001) Loss 1.2458 (1.3373) Prec@1 71.875 (68.791) Prec@5 90.625 (87.195) Epoch: [88][4900/10010] Time 0.331 (0.326) Data 0.001 (0.001) Loss 1.3739 (1.3373) Prec@1 65.625 (68.788) Prec@5 83.594 (87.193) Epoch: [88][4910/10010] Time 0.314 (0.326) Data 0.000 (0.001) Loss 1.3056 (1.3373) Prec@1 68.750 (68.787) Prec@5 90.625 (87.194) Epoch: [88][4920/10010] Time 0.328 (0.326) Data 0.000 (0.001) Loss 1.3404 (1.3374) Prec@1 64.844 (68.784) Prec@5 88.281 (87.193) Epoch: [88][4930/10010] Time 0.311 (0.326) Data 0.000 (0.001) Loss 1.1931 (1.3373) Prec@1 67.969 (68.786) Prec@5 89.062 (87.195) Epoch: [88][4940/10010] Time 0.335 (0.326) Data 0.001 (0.001) Loss 1.4904 (1.3372) Prec@1 69.531 (68.788) Prec@5 86.719 (87.196) Epoch: [88][4950/10010] Time 0.311 (0.326) Data 0.001 (0.001) Loss 1.1912 (1.3372) Prec@1 69.531 (68.790) Prec@5 89.844 (87.196) Epoch: [88][4960/10010] Time 0.320 (0.326) Data 0.000 (0.001) Loss 1.6828 (1.3373) Prec@1 63.281 (68.789) Prec@5 82.812 (87.194) Epoch: [88][4970/10010] Time 0.324 (0.326) Data 0.001 (0.001) Loss 1.3422 (1.3372) Prec@1 67.969 (68.792) Prec@5 86.719 (87.196) Epoch: [88][4980/10010] Time 0.315 (0.326) Data 0.000 (0.001) Loss 1.6123 (1.3373) Prec@1 65.625 (68.791) Prec@5 88.281 (87.196) Epoch: [88][4990/10010] Time 0.338 (0.326) Data 0.000 (0.001) Loss 1.5461 (1.3374) Prec@1 67.188 (68.789) Prec@5 83.594 (87.196) Epoch: [88][5000/10010] Time 0.324 (0.326) Data 0.001 (0.001) Loss 1.0813 (1.3375) Prec@1 73.438 (68.784) Prec@5 92.969 (87.196) Epoch: [88][5010/10010] Time 0.330 (0.326) Data 0.001 (0.001) Loss 1.4195 (1.3374) Prec@1 67.969 (68.787) Prec@5 84.375 (87.198) Epoch: [88][5020/10010] Time 0.330 (0.326) Data 0.000 (0.001) Loss 1.3621 (1.3376) Prec@1 67.969 (68.784) Prec@5 86.719 (87.193) Epoch: [88][5030/10010] Time 0.332 (0.326) Data 0.000 (0.001) Loss 1.1729 (1.3376) Prec@1 77.344 (68.788) Prec@5 87.500 (87.193) Epoch: [88][5040/10010] Time 0.324 (0.326) Data 0.000 (0.001) Loss 1.5143 (1.3379) Prec@1 61.719 (68.781) Prec@5 85.156 (87.190) Epoch: [88][5050/10010] Time 0.326 (0.326) Data 0.000 (0.001) Loss 1.2978 (1.3378) Prec@1 71.094 (68.780) Prec@5 86.719 (87.190) Epoch: [88][5060/10010] Time 0.333 (0.326) Data 0.000 (0.001) Loss 1.6916 (1.3378) Prec@1 66.406 (68.782) Prec@5 80.469 (87.190) Epoch: [88][5070/10010] Time 0.336 (0.326) Data 0.000 (0.001) Loss 1.3644 (1.3378) Prec@1 67.969 (68.782) Prec@5 83.594 (87.189) Epoch: [88][5080/10010] Time 0.337 (0.326) Data 0.001 (0.001) Loss 1.0617 (1.3377) Prec@1 66.406 (68.782) Prec@5 93.750 (87.190) Epoch: [88][5090/10010] Time 0.333 (0.326) Data 0.000 (0.001) Loss 1.3288 (1.3377) Prec@1 71.094 (68.783) Prec@5 85.156 (87.190) Epoch: [88][5100/10010] Time 0.332 (0.326) Data 0.001 (0.001) Loss 1.1105 (1.3377) Prec@1 73.438 (68.785) Prec@5 90.625 (87.188) Epoch: [88][5110/10010] Time 0.336 (0.326) Data 0.001 (0.001) Loss 1.4008 (1.3378) Prec@1 68.750 (68.782) Prec@5 87.500 (87.189) Epoch: [88][5120/10010] Time 0.341 (0.326) Data 0.000 (0.001) Loss 1.2258 (1.3378) Prec@1 73.438 (68.784) Prec@5 89.844 (87.188) Epoch: [88][5130/10010] Time 0.335 (0.326) Data 0.000 (0.001) Loss 1.0289 (1.3377) Prec@1 75.781 (68.784) Prec@5 89.844 (87.188) Epoch: [88][5140/10010] Time 0.317 (0.326) Data 0.001 (0.001) Loss 1.3941 (1.3379) Prec@1 68.750 (68.784) Prec@5 87.500 (87.186) Epoch: [88][5150/10010] Time 0.323 (0.326) Data 0.001 (0.001) Loss 1.4636 (1.3379) Prec@1 64.844 (68.782) Prec@5 85.938 (87.187) Epoch: [88][5160/10010] Time 0.332 (0.326) Data 0.001 (0.001) Loss 1.2274 (1.3378) Prec@1 71.875 (68.785) Prec@5 87.500 (87.188) Epoch: [88][5170/10010] Time 0.328 (0.326) Data 0.000 (0.001) Loss 1.5517 (1.3378) Prec@1 64.062 (68.785) Prec@5 82.031 (87.190) Epoch: [88][5180/10010] Time 0.329 (0.326) Data 0.000 (0.001) Loss 1.2235 (1.3377) Prec@1 78.125 (68.785) Prec@5 86.719 (87.190) Epoch: [88][5190/10010] Time 0.325 (0.326) Data 0.001 (0.001) Loss 1.1984 (1.3377) Prec@1 71.094 (68.785) Prec@5 90.625 (87.189) Epoch: [88][5200/10010] Time 0.316 (0.326) Data 0.001 (0.001) Loss 1.2650 (1.3376) Prec@1 71.094 (68.786) Prec@5 89.062 (87.189) Epoch: [88][5210/10010] Time 0.320 (0.326) Data 0.001 (0.001) Loss 1.2529 (1.3377) Prec@1 71.875 (68.785) Prec@5 86.719 (87.189) Epoch: [88][5220/10010] Time 0.319 (0.326) Data 0.000 (0.001) Loss 1.2784 (1.3376) Prec@1 69.531 (68.784) Prec@5 89.844 (87.191) Epoch: [88][5230/10010] Time 0.318 (0.326) Data 0.001 (0.001) Loss 1.3658 (1.3377) Prec@1 67.969 (68.784) Prec@5 84.375 (87.189) Epoch: [88][5240/10010] Time 0.326 (0.326) Data 0.001 (0.001) Loss 1.2664 (1.3378) Prec@1 67.188 (68.781) Prec@5 89.844 (87.187) Epoch: [88][5250/10010] Time 0.329 (0.326) Data 0.000 (0.001) Loss 1.2773 (1.3376) Prec@1 72.656 (68.785) Prec@5 87.500 (87.189) Epoch: [88][5260/10010] Time 0.325 (0.326) Data 0.000 (0.001) Loss 1.1315 (1.3376) Prec@1 68.750 (68.784) Prec@5 88.281 (87.189) Epoch: [88][5270/10010] Time 0.318 (0.326) Data 0.001 (0.001) Loss 1.7271 (1.3377) Prec@1 59.375 (68.781) Prec@5 79.688 (87.188) Epoch: [88][5280/10010] Time 0.337 (0.326) Data 0.001 (0.001) Loss 1.3184 (1.3376) Prec@1 64.062 (68.779) Prec@5 89.062 (87.189) Epoch: [88][5290/10010] Time 0.313 (0.326) Data 0.000 (0.001) Loss 1.3991 (1.3374) Prec@1 63.281 (68.783) Prec@5 84.375 (87.190) Epoch: [88][5300/10010] Time 0.324 (0.326) Data 0.000 (0.001) Loss 1.5169 (1.3377) Prec@1 59.375 (68.778) Prec@5 85.156 (87.188) Epoch: [88][5310/10010] Time 0.341 (0.326) Data 0.001 (0.001) Loss 1.7895 (1.3377) Prec@1 57.812 (68.776) Prec@5 82.812 (87.188) Epoch: [88][5320/10010] Time 0.334 (0.326) Data 0.001 (0.001) Loss 1.3117 (1.3377) Prec@1 72.656 (68.778) Prec@5 89.844 (87.188) Epoch: [88][5330/10010] Time 0.340 (0.326) Data 0.001 (0.001) Loss 1.4998 (1.3379) Prec@1 62.500 (68.773) Prec@5 86.719 (87.184) Epoch: [88][5340/10010] Time 0.317 (0.326) Data 0.001 (0.001) Loss 1.4172 (1.3378) Prec@1 64.844 (68.774) Prec@5 85.938 (87.186) Epoch: [88][5350/10010] Time 0.332 (0.326) Data 0.001 (0.001) Loss 1.0746 (1.3379) Prec@1 76.562 (68.776) Prec@5 89.062 (87.184) Epoch: [88][5360/10010] Time 0.315 (0.326) Data 0.001 (0.001) Loss 1.3048 (1.3378) Prec@1 70.312 (68.779) Prec@5 87.500 (87.184) Epoch: [88][5370/10010] Time 0.335 (0.326) Data 0.001 (0.001) Loss 1.4612 (1.3379) Prec@1 67.188 (68.779) Prec@5 85.938 (87.183) Epoch: [88][5380/10010] Time 0.335 (0.326) Data 0.001 (0.001) Loss 1.4164 (1.3380) Prec@1 75.000 (68.778) Prec@5 84.375 (87.184) Epoch: [88][5390/10010] Time 0.336 (0.326) Data 0.001 (0.001) Loss 1.3110 (1.3380) Prec@1 75.000 (68.780) Prec@5 89.062 (87.185) Epoch: [88][5400/10010] Time 0.327 (0.326) Data 0.000 (0.001) Loss 1.3195 (1.3380) Prec@1 75.781 (68.779) Prec@5 85.938 (87.184) Epoch: [88][5410/10010] Time 0.316 (0.326) Data 0.001 (0.001) Loss 1.5518 (1.3382) Prec@1 61.719 (68.773) Prec@5 82.812 (87.182) Epoch: [88][5420/10010] Time 0.320 (0.326) Data 0.000 (0.001) Loss 1.4860 (1.3382) Prec@1 62.500 (68.772) Prec@5 87.500 (87.182) Epoch: [88][5430/10010] Time 0.310 (0.326) Data 0.001 (0.001) Loss 1.0856 (1.3381) Prec@1 75.781 (68.772) Prec@5 90.625 (87.183) Epoch: [88][5440/10010] Time 0.316 (0.326) Data 0.000 (0.001) Loss 1.2602 (1.3382) Prec@1 71.094 (68.769) Prec@5 91.406 (87.182) Epoch: [88][5450/10010] Time 0.317 (0.326) Data 0.000 (0.001) Loss 1.3120 (1.3382) Prec@1 71.875 (68.771) Prec@5 85.938 (87.183) Epoch: [88][5460/10010] Time 0.337 (0.326) Data 0.000 (0.001) Loss 1.5344 (1.3382) Prec@1 66.406 (68.770) Prec@5 84.375 (87.183) Epoch: [88][5470/10010] Time 0.320 (0.326) Data 0.000 (0.001) Loss 1.2383 (1.3381) Prec@1 67.188 (68.774) Prec@5 90.625 (87.184) Epoch: [88][5480/10010] Time 0.316 (0.326) Data 0.001 (0.001) Loss 1.1588 (1.3380) Prec@1 74.219 (68.774) Prec@5 90.625 (87.185) Epoch: [88][5490/10010] Time 0.324 (0.326) Data 0.001 (0.001) Loss 1.5903 (1.3382) Prec@1 64.844 (68.771) Prec@5 84.375 (87.182) Epoch: [88][5500/10010] Time 0.316 (0.326) Data 0.001 (0.001) Loss 1.4639 (1.3382) Prec@1 65.625 (68.771) Prec@5 85.156 (87.180) Epoch: [88][5510/10010] Time 0.324 (0.326) Data 0.001 (0.001) Loss 1.4478 (1.3382) Prec@1 64.062 (68.771) Prec@5 82.812 (87.180) Epoch: [88][5520/10010] Time 0.317 (0.326) Data 0.001 (0.001) Loss 1.5880 (1.3385) Prec@1 62.500 (68.764) Prec@5 83.594 (87.176) Epoch: [88][5530/10010] Time 0.322 (0.326) Data 0.001 (0.001) Loss 1.0880 (1.3386) Prec@1 71.094 (68.763) Prec@5 95.312 (87.175) Epoch: [88][5540/10010] Time 0.321 (0.326) Data 0.000 (0.001) Loss 1.5349 (1.3386) Prec@1 66.406 (68.765) Prec@5 84.375 (87.175) Epoch: [88][5550/10010] Time 0.331 (0.326) Data 0.001 (0.001) Loss 1.1642 (1.3386) Prec@1 70.312 (68.765) Prec@5 88.281 (87.174) Epoch: [88][5560/10010] Time 0.337 (0.326) Data 0.001 (0.001) Loss 1.0434 (1.3385) Prec@1 75.781 (68.766) Prec@5 89.062 (87.177) Epoch: [88][5570/10010] Time 0.315 (0.326) Data 0.001 (0.001) Loss 1.2542 (1.3386) Prec@1 68.750 (68.766) Prec@5 87.500 (87.174) Epoch: [88][5580/10010] Time 0.343 (0.326) Data 0.000 (0.001) Loss 1.3390 (1.3386) Prec@1 67.969 (68.768) Prec@5 86.719 (87.174) Epoch: [88][5590/10010] Time 0.320 (0.326) Data 0.001 (0.001) Loss 1.5028 (1.3387) Prec@1 70.312 (68.768) Prec@5 83.594 (87.173) Epoch: [88][5600/10010] Time 0.324 (0.326) Data 0.001 (0.001) Loss 1.4212 (1.3388) Prec@1 67.188 (68.767) Prec@5 83.594 (87.171) Epoch: [88][5610/10010] Time 0.329 (0.326) Data 0.000 (0.001) Loss 1.1647 (1.3388) Prec@1 75.000 (68.768) Prec@5 91.406 (87.171) Epoch: [88][5620/10010] Time 0.326 (0.326) Data 0.001 (0.001) Loss 1.1672 (1.3387) Prec@1 71.875 (68.771) Prec@5 89.844 (87.172) Epoch: [88][5630/10010] Time 0.323 (0.326) Data 0.001 (0.001) Loss 1.5353 (1.3386) Prec@1 69.531 (68.773) Prec@5 83.594 (87.174) Epoch: [88][5640/10010] Time 0.335 (0.326) Data 0.001 (0.001) Loss 1.4188 (1.3385) Prec@1 66.406 (68.771) Prec@5 85.156 (87.173) Epoch: [88][5650/10010] Time 0.319 (0.326) Data 0.001 (0.001) Loss 1.5559 (1.3386) Prec@1 62.500 (68.770) Prec@5 82.812 (87.174) Epoch: [88][5660/10010] Time 0.337 (0.326) Data 0.000 (0.001) Loss 1.6782 (1.3387) Prec@1 60.156 (68.768) Prec@5 86.719 (87.171) Epoch: [88][5670/10010] Time 0.323 (0.326) Data 0.001 (0.001) Loss 1.4451 (1.3387) Prec@1 65.625 (68.768) Prec@5 85.156 (87.171) Epoch: [88][5680/10010] Time 0.326 (0.326) Data 0.001 (0.001) Loss 1.3688 (1.3388) Prec@1 67.969 (68.767) Prec@5 86.719 (87.171) Epoch: [88][5690/10010] Time 0.317 (0.326) Data 0.000 (0.001) Loss 1.4753 (1.3388) Prec@1 67.969 (68.765) Prec@5 83.594 (87.169) Epoch: [88][5700/10010] Time 0.337 (0.326) Data 0.001 (0.001) Loss 1.4446 (1.3390) Prec@1 61.719 (68.762) Prec@5 86.719 (87.167) Epoch: [88][5710/10010] Time 0.329 (0.326) Data 0.001 (0.001) Loss 1.7681 (1.3390) Prec@1 61.719 (68.761) Prec@5 82.031 (87.166) /data/vision/torralba/deepscene/lib/anaconda2/lib/python2.7/site-packages/PIL/TiffImagePlugin.py:692: UserWarning: Possibly corrupt EXIF data. Expecting to read 2555904 bytes but only got 0. Skipping tag 0 "Skipping tag %s" % (size, len(data), tag)) Epoch: [88][5720/10010] Time 0.324 (0.326) Data 0.001 (0.001) Loss 1.2100 (1.3390) Prec@1 70.312 (68.762) Prec@5 90.625 (87.167) Epoch: [88][5730/10010] Time 0.338 (0.326) Data 0.000 (0.001) Loss 1.3601 (1.3390) Prec@1 67.188 (68.764) Prec@5 86.719 (87.167) Epoch: [88][5740/10010] Time 0.318 (0.326) Data 0.001 (0.001) Loss 1.6680 (1.3391) Prec@1 64.844 (68.764) Prec@5 82.031 (87.166) Epoch: [88][5750/10010] Time 0.314 (0.326) Data 0.001 (0.001) Loss 1.2180 (1.3390) Prec@1 68.750 (68.766) Prec@5 89.844 (87.168) Epoch: [88][5760/10010] Time 0.322 (0.326) Data 0.000 (0.001) Loss 1.4817 (1.3389) Prec@1 64.844 (68.765) Prec@5 85.938 (87.171) Epoch: [88][5770/10010] Time 0.326 (0.326) Data 0.000 (0.001) Loss 1.4003 (1.3388) Prec@1 69.531 (68.767) Prec@5 89.062 (87.171) Epoch: [88][5780/10010] Time 0.314 (0.326) Data 0.001 (0.001) Loss 1.3144 (1.3387) Prec@1 69.531 (68.770) Prec@5 89.062 (87.173) Epoch: [88][5790/10010] Time 0.331 (0.326) Data 0.000 (0.001) Loss 1.0762 (1.3386) Prec@1 75.781 (68.772) Prec@5 89.062 (87.172) Epoch: [88][5800/10010] Time 0.315 (0.326) Data 0.000 (0.001) Loss 1.0781 (1.3386) Prec@1 71.875 (68.771) Prec@5 89.062 (87.173) Epoch: [88][5810/10010] Time 0.317 (0.326) Data 0.001 (0.001) Loss 1.1996 (1.3386) Prec@1 72.656 (68.770) Prec@5 86.719 (87.173) Epoch: [88][5820/10010] Time 0.321 (0.326) Data 0.001 (0.001) Loss 1.5089 (1.3388) Prec@1 66.406 (68.766) Prec@5 84.375 (87.171) Epoch: [88][5830/10010] Time 0.335 (0.326) Data 0.000 (0.001) Loss 1.4523 (1.3389) Prec@1 73.438 (68.764) Prec@5 82.031 (87.170) Epoch: [88][5840/10010] Time 0.330 (0.326) Data 0.000 (0.001) Loss 1.4069 (1.3389) Prec@1 68.750 (68.764) Prec@5 85.156 (87.170) Epoch: [88][5850/10010] Time 0.321 (0.326) Data 0.001 (0.001) Loss 1.1858 (1.3389) Prec@1 67.188 (68.763) Prec@5 89.062 (87.172) Epoch: [88][5860/10010] Time 0.334 (0.326) Data 0.001 (0.001) Loss 1.1601 (1.3388) Prec@1 70.312 (68.763) Prec@5 89.062 (87.172) Epoch: [88][5870/10010] Time 0.319 (0.326) Data 0.000 (0.001) Loss 1.1485 (1.3387) Prec@1 70.312 (68.765) Prec@5 92.188 (87.173) Epoch: [88][5880/10010] Time 0.332 (0.326) Data 0.001 (0.001) Loss 1.6402 (1.3390) Prec@1 55.469 (68.760) Prec@5 81.250 (87.170) Epoch: [88][5890/10010] Time 0.322 (0.326) Data 0.001 (0.001) Loss 1.1579 (1.3389) Prec@1 72.656 (68.763) Prec@5 91.406 (87.171) Epoch: [88][5900/10010] Time 0.329 (0.326) Data 0.001 (0.001) Loss 1.2518 (1.3389) Prec@1 70.312 (68.765) Prec@5 90.625 (87.170) Epoch: [88][5910/10010] Time 0.320 (0.326) Data 0.001 (0.001) Loss 1.3193 (1.3388) Prec@1 71.094 (68.766) Prec@5 86.719 (87.172) Epoch: [88][5920/10010] Time 0.315 (0.326) Data 0.001 (0.001) Loss 1.8762 (1.3390) Prec@1 59.375 (68.764) Prec@5 82.031 (87.170) Epoch: [88][5930/10010] Time 0.320 (0.326) Data 0.001 (0.001) Loss 1.1041 (1.3390) Prec@1 67.969 (68.763) Prec@5 89.844 (87.168) Epoch: [88][5940/10010] Time 0.314 (0.326) Data 0.001 (0.001) Loss 1.3126 (1.3390) Prec@1 68.750 (68.762) Prec@5 87.500 (87.168) Epoch: [88][5950/10010] Time 0.317 (0.326) Data 0.001 (0.001) Loss 1.3815 (1.3391) Prec@1 67.188 (68.760) Prec@5 85.156 (87.167) Epoch: [88][5960/10010] Time 0.334 (0.326) Data 0.001 (0.001) Loss 1.0623 (1.3391) Prec@1 75.781 (68.764) Prec@5 89.844 (87.168) Epoch: [88][5970/10010] Time 0.315 (0.326) Data 0.001 (0.001) Loss 1.1113 (1.3391) Prec@1 71.875 (68.763) Prec@5 90.625 (87.166) Epoch: [88][5980/10010] Time 0.333 (0.326) Data 0.000 (0.001) Loss 1.3577 (1.3392) Prec@1 67.969 (68.761) Prec@5 84.375 (87.164) Epoch: [88][5990/10010] Time 0.319 (0.326) Data 0.001 (0.001) Loss 1.2251 (1.3392) Prec@1 67.188 (68.758) Prec@5 86.719 (87.164) Epoch: [88][6000/10010] Time 0.340 (0.326) Data 0.001 (0.001) Loss 1.2228 (1.3392) Prec@1 71.094 (68.759) Prec@5 89.062 (87.162) Epoch: [88][6010/10010] Time 0.324 (0.326) Data 0.000 (0.001) Loss 1.4277 (1.3392) Prec@1 67.188 (68.761) Prec@5 87.500 (87.162) Epoch: [88][6020/10010] Time 0.335 (0.326) Data 0.000 (0.001) Loss 1.5180 (1.3393) Prec@1 64.062 (68.761) Prec@5 85.156 (87.161) Epoch: [88][6030/10010] Time 0.313 (0.326) Data 0.001 (0.001) Loss 1.1528 (1.3393) Prec@1 72.656 (68.759) Prec@5 87.500 (87.160) Epoch: [88][6040/10010] Time 0.340 (0.326) Data 0.000 (0.001) Loss 1.2748 (1.3392) Prec@1 71.875 (68.761) Prec@5 85.156 (87.161) Epoch: [88][6050/10010] Time 0.323 (0.326) Data 0.000 (0.001) Loss 1.7436 (1.3392) Prec@1 57.812 (68.762) Prec@5 82.031 (87.161) Epoch: [88][6060/10010] Time 0.338 (0.326) Data 0.001 (0.001) Loss 1.4587 (1.3392) Prec@1 70.312 (68.765) Prec@5 83.594 (87.161) Epoch: [88][6070/10010] Time 0.313 (0.326) Data 0.000 (0.001) Loss 1.1938 (1.3392) Prec@1 74.219 (68.765) Prec@5 89.844 (87.161) Epoch: [88][6080/10010] Time 0.337 (0.326) Data 0.001 (0.001) Loss 1.2003 (1.3393) Prec@1 74.219 (68.765) Prec@5 87.500 (87.160) Epoch: [88][6090/10010] Time 0.313 (0.326) Data 0.000 (0.001) Loss 1.2219 (1.3393) Prec@1 65.625 (68.763) Prec@5 88.281 (87.161) Epoch: [88][6100/10010] Time 0.336 (0.326) Data 0.001 (0.001) Loss 1.5218 (1.3393) Prec@1 65.625 (68.764) Prec@5 82.031 (87.161) Epoch: [88][6110/10010] Time 0.320 (0.326) Data 0.001 (0.001) Loss 1.4350 (1.3393) Prec@1 68.750 (68.763) Prec@5 83.594 (87.162) Epoch: [88][6120/10010] Time 0.312 (0.326) Data 0.000 (0.001) Loss 1.4954 (1.3393) Prec@1 67.188 (68.764) Prec@5 85.938 (87.162) Epoch: [88][6130/10010] Time 0.326 (0.326) Data 0.001 (0.001) Loss 1.5094 (1.3394) Prec@1 68.750 (68.761) Prec@5 84.375 (87.160) Epoch: [88][6140/10010] Time 0.322 (0.326) Data 0.000 (0.001) Loss 1.2174 (1.3394) Prec@1 71.094 (68.762) Prec@5 89.062 (87.161) Epoch: [88][6150/10010] Time 0.311 (0.326) Data 0.001 (0.001) Loss 1.6111 (1.3394) Prec@1 64.844 (68.763) Prec@5 84.375 (87.160) Epoch: [88][6160/10010] Time 0.316 (0.326) Data 0.001 (0.001) Loss 1.1192 (1.3394) Prec@1 75.781 (68.765) Prec@5 87.500 (87.160) Epoch: [88][6170/10010] Time 0.338 (0.326) Data 0.001 (0.001) Loss 1.5252 (1.3395) Prec@1 67.969 (68.763) Prec@5 82.812 (87.160) Epoch: [88][6180/10010] Time 0.334 (0.326) Data 0.001 (0.001) Loss 1.4691 (1.3396) Prec@1 67.188 (68.760) Prec@5 85.156 (87.158) Epoch: [88][6190/10010] Time 0.320 (0.326) Data 0.001 (0.001) Loss 1.2901 (1.3396) Prec@1 69.531 (68.761) Prec@5 86.719 (87.157) Epoch: [88][6200/10010] Time 0.336 (0.326) Data 0.001 (0.001) Loss 1.3499 (1.3396) Prec@1 68.750 (68.761) Prec@5 85.156 (87.156) /data/vision/torralba/deepscene/lib/anaconda2/lib/python2.7/site-packages/PIL/TiffImagePlugin.py:709: UserWarning: Corrupt EXIF data. Expecting to read 4 bytes but only got 0. warnings.warn(str(msg)) Epoch: [88][6210/10010] Time 0.322 (0.326) Data 0.001 (0.001) Loss 1.2256 (1.3396) Prec@1 73.438 (68.758) Prec@5 86.719 (87.156) Epoch: [88][6220/10010] Time 0.326 (0.326) Data 0.001 (0.001) Loss 1.3987 (1.3396) Prec@1 72.656 (68.760) Prec@5 85.156 (87.155) Epoch: [88][6230/10010] Time 0.337 (0.326) Data 0.000 (0.001) Loss 1.0036 (1.3396) Prec@1 77.344 (68.760) Prec@5 90.625 (87.155) Epoch: [88][6240/10010] Time 0.322 (0.326) Data 0.000 (0.001) Loss 1.1581 (1.3396) Prec@1 71.875 (68.758) Prec@5 89.062 (87.155) Epoch: [88][6250/10010] Time 0.321 (0.326) Data 0.001 (0.001) Loss 1.3336 (1.3395) Prec@1 67.969 (68.760) Prec@5 89.062 (87.158) Epoch: [88][6260/10010] Time 0.321 (0.326) Data 0.000 (0.001) Loss 1.0270 (1.3395) Prec@1 75.000 (68.762) Prec@5 92.188 (87.156) Epoch: [88][6270/10010] Time 0.317 (0.326) Data 0.000 (0.001) Loss 1.1430 (1.3395) Prec@1 68.750 (68.762) Prec@5 91.406 (87.157) Epoch: [88][6280/10010] Time 0.318 (0.326) Data 0.001 (0.001) Loss 1.3959 (1.3396) Prec@1 63.281 (68.757) Prec@5 89.062 (87.155) Epoch: [88][6290/10010] Time 0.319 (0.326) Data 0.001 (0.001) Loss 1.4261 (1.3397) Prec@1 64.844 (68.755) Prec@5 85.938 (87.153) Epoch: [88][6300/10010] Time 0.315 (0.326) Data 0.000 (0.001) Loss 1.4865 (1.3396) Prec@1 67.969 (68.761) Prec@5 84.375 (87.154) Epoch: [88][6310/10010] Time 0.329 (0.326) Data 0.001 (0.001) Loss 1.6281 (1.3397) Prec@1 64.062 (68.760) Prec@5 85.156 (87.153) Epoch: [88][6320/10010] Time 0.336 (0.326) Data 0.001 (0.001) Loss 1.8422 (1.3398) Prec@1 60.156 (68.759) Prec@5 78.906 (87.153) Epoch: [88][6330/10010] Time 0.315 (0.326) Data 0.001 (0.001) Loss 1.2758 (1.3398) Prec@1 71.875 (68.760) Prec@5 85.938 (87.153) Epoch: [88][6340/10010] Time 0.325 (0.326) Data 0.000 (0.001) Loss 1.3307 (1.3396) Prec@1 68.750 (68.761) Prec@5 85.156 (87.156) Epoch: [88][6350/10010] Time 0.327 (0.326) Data 0.001 (0.001) Loss 1.5028 (1.3396) Prec@1 70.312 (68.762) Prec@5 85.156 (87.157) Epoch: [88][6360/10010] Time 0.316 (0.326) Data 0.000 (0.001) Loss 1.3939 (1.3395) Prec@1 71.875 (68.762) Prec@5 82.812 (87.156) Epoch: [88][6370/10010] Time 0.331 (0.326) Data 0.001 (0.001) Loss 1.2287 (1.3395) Prec@1 68.750 (68.763) Prec@5 91.406 (87.158) Epoch: [88][6380/10010] Time 0.320 (0.326) Data 0.001 (0.001) Loss 1.3112 (1.3395) Prec@1 68.750 (68.762) Prec@5 89.062 (87.160) Epoch: [88][6390/10010] Time 0.321 (0.326) Data 0.001 (0.001) Loss 1.5356 (1.3393) Prec@1 66.406 (68.765) Prec@5 80.469 (87.161) Epoch: [88][6400/10010] Time 0.319 (0.326) Data 0.000 (0.001) Loss 1.4701 (1.3393) Prec@1 64.062 (68.765) Prec@5 84.375 (87.160) Epoch: [88][6410/10010] Time 0.319 (0.326) Data 0.001 (0.001) Loss 1.2133 (1.3393) Prec@1 71.875 (68.765) Prec@5 88.281 (87.161) Epoch: [88][6420/10010] Time 0.314 (0.326) Data 0.001 (0.001) Loss 1.5395 (1.3395) Prec@1 60.938 (68.761) Prec@5 81.250 (87.158) Epoch: [88][6430/10010] Time 0.327 (0.326) Data 0.001 (0.001) Loss 1.5598 (1.3395) Prec@1 67.188 (68.760) Prec@5 84.375 (87.158) Epoch: [88][6440/10010] Time 0.334 (0.326) Data 0.001 (0.001) Loss 1.5428 (1.3395) Prec@1 64.062 (68.763) Prec@5 85.938 (87.159) Epoch: [88][6450/10010] Time 0.340 (0.326) Data 0.001 (0.001) Loss 1.6008 (1.3396) Prec@1 65.625 (68.762) Prec@5 85.938 (87.158) Epoch: [88][6460/10010] Time 0.331 (0.326) Data 0.001 (0.001) Loss 1.4333 (1.3397) Prec@1 67.188 (68.761) Prec@5 86.719 (87.155) Epoch: [88][6470/10010] Time 0.339 (0.326) Data 0.001 (0.001) Loss 1.5728 (1.3398) Prec@1 67.188 (68.760) Prec@5 83.594 (87.156) Epoch: [88][6480/10010] Time 0.320 (0.326) Data 0.001 (0.001) Loss 1.4451 (1.3399) Prec@1 60.938 (68.757) Prec@5 86.719 (87.156) Epoch: [88][6490/10010] Time 0.320 (0.326) Data 0.000 (0.001) Loss 1.4475 (1.3399) Prec@1 65.625 (68.756) Prec@5 85.938 (87.156) Epoch: [88][6500/10010] Time 0.334 (0.326) Data 0.000 (0.001) Loss 1.3931 (1.3400) Prec@1 68.750 (68.753) Prec@5 85.938 (87.155) Epoch: [88][6510/10010] Time 0.321 (0.326) Data 0.001 (0.001) Loss 1.1233 (1.3400) Prec@1 72.656 (68.751) Prec@5 89.844 (87.154) Epoch: [88][6520/10010] Time 0.340 (0.326) Data 0.000 (0.001) Loss 1.4240 (1.3402) Prec@1 64.844 (68.748) Prec@5 87.500 (87.152) Epoch: [88][6530/10010] Time 0.329 (0.326) Data 0.001 (0.001) Loss 1.3887 (1.3402) Prec@1 68.750 (68.746) Prec@5 84.375 (87.152) Epoch: [88][6540/10010] Time 0.328 (0.326) Data 0.000 (0.001) Loss 1.3831 (1.3403) Prec@1 63.281 (68.741) Prec@5 87.500 (87.153) Epoch: [88][6550/10010] Time 0.330 (0.326) Data 0.000 (0.001) Loss 1.3937 (1.3404) Prec@1 67.188 (68.737) Prec@5 85.156 (87.151) Epoch: [88][6560/10010] Time 0.325 (0.326) Data 0.001 (0.001) Loss 1.2391 (1.3405) Prec@1 67.969 (68.735) Prec@5 84.375 (87.149) Epoch: [88][6570/10010] Time 0.316 (0.326) Data 0.001 (0.001) Loss 1.2088 (1.3404) Prec@1 74.219 (68.736) Prec@5 87.500 (87.148) Epoch: [88][6580/10010] Time 0.320 (0.326) Data 0.001 (0.001) Loss 1.4066 (1.3404) Prec@1 64.844 (68.737) Prec@5 85.938 (87.148) Epoch: [88][6590/10010] Time 0.334 (0.326) Data 0.001 (0.001) Loss 1.3692 (1.3404) Prec@1 72.656 (68.738) Prec@5 85.156 (87.147) Epoch: [88][6600/10010] Time 0.316 (0.326) Data 0.001 (0.001) Loss 1.2385 (1.3404) Prec@1 71.094 (68.740) Prec@5 89.062 (87.148) Epoch: [88][6610/10010] Time 0.338 (0.326) Data 0.000 (0.001) Loss 1.3871 (1.3404) Prec@1 66.406 (68.737) Prec@5 87.500 (87.147) Epoch: [88][6620/10010] Time 0.327 (0.326) Data 0.000 (0.001) Loss 1.1912 (1.3404) Prec@1 71.875 (68.738) Prec@5 88.281 (87.149) Epoch: [88][6630/10010] Time 0.335 (0.326) Data 0.001 (0.001) Loss 1.3120 (1.3404) Prec@1 71.094 (68.737) Prec@5 85.156 (87.150) Epoch: [88][6640/10010] Time 0.325 (0.326) Data 0.000 (0.001) Loss 1.4130 (1.3404) Prec@1 69.531 (68.734) Prec@5 85.938 (87.151) Epoch: [88][6650/10010] Time 0.329 (0.326) Data 0.001 (0.001) Loss 1.4830 (1.3403) Prec@1 66.406 (68.735) Prec@5 85.156 (87.151) Epoch: [88][6660/10010] Time 0.336 (0.326) Data 0.001 (0.001) Loss 1.2447 (1.3402) Prec@1 69.531 (68.739) Prec@5 86.719 (87.154) Epoch: [88][6670/10010] Time 0.327 (0.326) Data 0.001 (0.001) Loss 0.9581 (1.3402) Prec@1 77.344 (68.738) Prec@5 91.406 (87.153) Epoch: [88][6680/10010] Time 0.337 (0.326) Data 0.001 (0.001) Loss 1.2384 (1.3402) Prec@1 73.438 (68.739) Prec@5 87.500 (87.153) Epoch: [88][6690/10010] Time 0.331 (0.326) Data 0.001 (0.001) Loss 1.2418 (1.3402) Prec@1 70.312 (68.737) Prec@5 89.062 (87.154) Epoch: [88][6700/10010] Time 0.327 (0.326) Data 0.000 (0.001) Loss 1.3717 (1.3400) Prec@1 64.844 (68.740) Prec@5 87.500 (87.157) Epoch: [88][6710/10010] Time 0.337 (0.326) Data 0.000 (0.001) Loss 1.2907 (1.3401) Prec@1 66.406 (68.738) Prec@5 85.938 (87.156) Epoch: [88][6720/10010] Time 0.336 (0.326) Data 0.000 (0.001) Loss 1.3956 (1.3401) Prec@1 64.062 (68.735) Prec@5 85.938 (87.156) Epoch: [88][6730/10010] Time 0.321 (0.326) Data 0.001 (0.001) Loss 1.3462 (1.3400) Prec@1 63.281 (68.735) Prec@5 87.500 (87.158) Epoch: [88][6740/10010] Time 0.324 (0.326) Data 0.000 (0.001) Loss 1.3358 (1.3400) Prec@1 70.312 (68.736) Prec@5 82.812 (87.158) Epoch: [88][6750/10010] Time 0.337 (0.326) Data 0.001 (0.001) Loss 1.1176 (1.3399) Prec@1 75.781 (68.736) Prec@5 89.844 (87.157) Epoch: [88][6760/10010] Time 0.317 (0.326) Data 0.001 (0.001) Loss 1.2803 (1.3399) Prec@1 62.500 (68.735) Prec@5 90.625 (87.159) Epoch: [88][6770/10010] Time 0.341 (0.326) Data 0.001 (0.001) Loss 1.2939 (1.3399) Prec@1 71.875 (68.734) Prec@5 91.406 (87.158) Epoch: [88][6780/10010] Time 0.339 (0.326) Data 0.000 (0.001) Loss 1.4216 (1.3400) Prec@1 62.500 (68.730) Prec@5 85.938 (87.158) Epoch: [88][6790/10010] Time 0.318 (0.326) Data 0.001 (0.001) Loss 1.3381 (1.3400) Prec@1 71.094 (68.732) Prec@5 88.281 (87.158) Epoch: [88][6800/10010] Time 0.340 (0.326) Data 0.000 (0.001) Loss 1.6372 (1.3402) Prec@1 65.625 (68.730) Prec@5 82.812 (87.154) Epoch: [88][6810/10010] Time 0.339 (0.326) Data 0.000 (0.001) Loss 1.3461 (1.3401) Prec@1 67.969 (68.731) Prec@5 85.938 (87.154) Epoch: [88][6820/10010] Time 0.337 (0.326) Data 0.001 (0.001) Loss 1.6685 (1.3402) Prec@1 68.750 (68.730) Prec@5 82.031 (87.153) Epoch: [88][6830/10010] Time 0.334 (0.326) Data 0.001 (0.001) Loss 1.5213 (1.3402) Prec@1 60.938 (68.729) Prec@5 84.375 (87.151) Epoch: [88][6840/10010] Time 0.323 (0.326) Data 0.001 (0.001) Loss 1.3078 (1.3403) Prec@1 71.875 (68.728) Prec@5 87.500 (87.149) Epoch: [88][6850/10010] Time 0.318 (0.326) Data 0.001 (0.001) Loss 1.4293 (1.3404) Prec@1 65.625 (68.725) Prec@5 85.938 (87.149) Epoch: [88][6860/10010] Time 0.321 (0.326) Data 0.000 (0.001) Loss 1.0657 (1.3403) Prec@1 78.125 (68.725) Prec@5 87.500 (87.150) Epoch: [88][6870/10010] Time 0.320 (0.326) Data 0.001 (0.001) Loss 1.3643 (1.3403) Prec@1 71.875 (68.726) Prec@5 87.500 (87.150) Epoch: [88][6880/10010] Time 0.339 (0.326) Data 0.000 (0.001) Loss 1.2404 (1.3404) Prec@1 71.094 (68.724) Prec@5 86.719 (87.149) Epoch: [88][6890/10010] Time 0.318 (0.326) Data 0.001 (0.001) Loss 1.0046 (1.3403) Prec@1 74.219 (68.726) Prec@5 94.531 (87.152) Epoch: [88][6900/10010] Time 0.335 (0.326) Data 0.001 (0.001) Loss 1.0917 (1.3402) Prec@1 75.781 (68.728) Prec@5 92.188 (87.152) Epoch: [88][6910/10010] Time 0.319 (0.326) Data 0.000 (0.001) Loss 1.3812 (1.3404) Prec@1 71.875 (68.725) Prec@5 88.281 (87.149) Epoch: [88][6920/10010] Time 0.328 (0.326) Data 0.000 (0.001) Loss 1.0417 (1.3403) Prec@1 72.656 (68.725) Prec@5 91.406 (87.151) Epoch: [88][6930/10010] Time 0.320 (0.326) Data 0.001 (0.001) Loss 1.4655 (1.3404) Prec@1 68.750 (68.723) Prec@5 87.500 (87.152) Epoch: [88][6940/10010] Time 0.319 (0.326) Data 0.001 (0.001) Loss 1.2802 (1.3405) Prec@1 68.750 (68.720) Prec@5 90.625 (87.150) Epoch: [88][6950/10010] Time 0.328 (0.326) Data 0.001 (0.001) Loss 1.5325 (1.3405) Prec@1 64.844 (68.721) Prec@5 85.156 (87.149) Epoch: [88][6960/10010] Time 0.331 (0.326) Data 0.001 (0.001) Loss 1.4673 (1.3406) Prec@1 66.406 (68.718) Prec@5 88.281 (87.148) Epoch: [88][6970/10010] Time 0.335 (0.326) Data 0.000 (0.001) Loss 1.3745 (1.3406) Prec@1 67.969 (68.719) Prec@5 86.719 (87.149) Epoch: [88][6980/10010] Time 0.318 (0.326) Data 0.001 (0.001) Loss 1.8067 (1.3407) Prec@1 59.375 (68.718) Prec@5 79.688 (87.147) Epoch: [88][6990/10010] Time 0.319 (0.326) Data 0.001 (0.001) Loss 1.4297 (1.3407) Prec@1 60.938 (68.718) Prec@5 83.594 (87.146) Epoch: [88][7000/10010] Time 0.320 (0.326) Data 0.001 (0.001) Loss 1.2457 (1.3407) Prec@1 71.094 (68.718) Prec@5 86.719 (87.145) Epoch: [88][7010/10010] Time 0.319 (0.326) Data 0.000 (0.001) Loss 1.3752 (1.3408) Prec@1 69.531 (68.716) Prec@5 86.719 (87.143) Epoch: [88][7020/10010] Time 0.320 (0.326) Data 0.001 (0.001) Loss 1.3520 (1.3409) Prec@1 67.188 (68.717) Prec@5 86.719 (87.142) Epoch: [88][7030/10010] Time 0.313 (0.326) Data 0.001 (0.001) Loss 1.3782 (1.3408) Prec@1 70.312 (68.717) Prec@5 83.594 (87.144) Epoch: [88][7040/10010] Time 0.331 (0.326) Data 0.001 (0.001) Loss 1.3433 (1.3407) Prec@1 69.531 (68.719) Prec@5 88.281 (87.144) Epoch: [88][7050/10010] Time 0.327 (0.326) Data 0.001 (0.001) Loss 1.4417 (1.3407) Prec@1 69.531 (68.719) Prec@5 87.500 (87.144) Epoch: [88][7060/10010] Time 0.328 (0.326) Data 0.001 (0.001) Loss 1.2001 (1.3407) Prec@1 74.219 (68.720) Prec@5 87.500 (87.145) Epoch: [88][7070/10010] Time 0.332 (0.326) Data 0.001 (0.001) Loss 1.2938 (1.3407) Prec@1 69.531 (68.723) Prec@5 87.500 (87.145) Epoch: [88][7080/10010] Time 0.342 (0.326) Data 0.001 (0.001) Loss 1.2119 (1.3407) Prec@1 68.750 (68.724) Prec@5 91.406 (87.146) Epoch: [88][7090/10010] Time 0.316 (0.326) Data 0.001 (0.001) Loss 1.4283 (1.3407) Prec@1 70.312 (68.723) Prec@5 83.594 (87.146) Epoch: [88][7100/10010] Time 0.337 (0.326) Data 0.000 (0.001) Loss 1.5537 (1.3407) Prec@1 58.594 (68.721) Prec@5 85.156 (87.145) Epoch: [88][7110/10010] Time 0.315 (0.326) Data 0.001 (0.001) Loss 1.3712 (1.3407) Prec@1 68.750 (68.721) Prec@5 84.375 (87.146) Epoch: [88][7120/10010] Time 0.321 (0.326) Data 0.001 (0.001) Loss 1.3062 (1.3408) Prec@1 70.312 (68.722) Prec@5 86.719 (87.146) Epoch: [88][7130/10010] Time 0.330 (0.326) Data 0.000 (0.001) Loss 1.5304 (1.3409) Prec@1 64.062 (68.720) Prec@5 84.375 (87.146) Epoch: [88][7140/10010] Time 0.339 (0.326) Data 0.000 (0.001) Loss 1.2912 (1.3409) Prec@1 67.188 (68.720) Prec@5 89.844 (87.145) Epoch: [88][7150/10010] Time 0.323 (0.326) Data 0.001 (0.001) Loss 1.4566 (1.3408) Prec@1 65.625 (68.721) Prec@5 84.375 (87.146) Epoch: [88][7160/10010] Time 0.313 (0.326) Data 0.001 (0.001) Loss 1.5396 (1.3408) Prec@1 63.281 (68.722) Prec@5 85.938 (87.146) Epoch: [88][7170/10010] Time 0.343 (0.326) Data 0.001 (0.001) Loss 1.3480 (1.3407) Prec@1 67.188 (68.723) Prec@5 84.375 (87.148) Epoch: [88][7180/10010] Time 0.325 (0.326) Data 0.001 (0.001) Loss 1.3038 (1.3407) Prec@1 70.312 (68.725) Prec@5 89.844 (87.148) Epoch: [88][7190/10010] Time 0.314 (0.326) Data 0.001 (0.001) Loss 1.3830 (1.3408) Prec@1 64.062 (68.722) Prec@5 85.938 (87.147) Epoch: [88][7200/10010] Time 0.322 (0.326) Data 0.001 (0.001) Loss 1.2208 (1.3408) Prec@1 73.438 (68.721) Prec@5 86.719 (87.146) Epoch: [88][7210/10010] Time 0.311 (0.326) Data 0.001 (0.001) Loss 1.5455 (1.3408) Prec@1 64.062 (68.718) Prec@5 85.938 (87.145) Epoch: [88][7220/10010] Time 0.339 (0.326) Data 0.001 (0.001) Loss 1.5880 (1.3407) Prec@1 60.938 (68.717) Prec@5 85.156 (87.147) Epoch: [88][7230/10010] Time 0.312 (0.326) Data 0.001 (0.001) Loss 1.5477 (1.3408) Prec@1 64.844 (68.714) Prec@5 86.719 (87.147) Epoch: [88][7240/10010] Time 0.335 (0.326) Data 0.001 (0.001) Loss 1.4321 (1.3409) Prec@1 67.188 (68.711) Prec@5 88.281 (87.146) Epoch: [88][7250/10010] Time 0.314 (0.326) Data 0.000 (0.001) Loss 1.6002 (1.3410) Prec@1 61.719 (68.710) Prec@5 83.594 (87.145) Epoch: [88][7260/10010] Time 0.318 (0.326) Data 0.000 (0.001) Loss 1.4415 (1.3409) Prec@1 64.062 (68.708) Prec@5 85.938 (87.147) Epoch: [88][7270/10010] Time 0.337 (0.326) Data 0.001 (0.001) Loss 1.6033 (1.3409) Prec@1 62.500 (68.708) Prec@5 82.812 (87.147) Epoch: [88][7280/10010] Time 0.324 (0.326) Data 0.001 (0.001) Loss 1.3987 (1.3408) Prec@1 65.625 (68.708) Prec@5 85.938 (87.147) Epoch: [88][7290/10010] Time 0.326 (0.326) Data 0.001 (0.001) Loss 1.3327 (1.3408) Prec@1 69.531 (68.712) Prec@5 88.281 (87.148) Epoch: [88][7300/10010] Time 0.326 (0.326) Data 0.000 (0.001) Loss 1.4765 (1.3407) Prec@1 67.969 (68.714) Prec@5 87.500 (87.150) Epoch: [88][7310/10010] Time 0.342 (0.326) Data 0.001 (0.001) Loss 1.2206 (1.3407) Prec@1 71.875 (68.714) Prec@5 87.500 (87.150) Epoch: [88][7320/10010] Time 0.322 (0.326) Data 0.001 (0.001) Loss 1.4465 (1.3407) Prec@1 68.750 (68.713) Prec@5 85.938 (87.151) Epoch: [88][7330/10010] Time 0.318 (0.326) Data 0.001 (0.001) Loss 1.3271 (1.3407) Prec@1 69.531 (68.715) Prec@5 85.938 (87.151) Epoch: [88][7340/10010] Time 0.317 (0.326) Data 0.001 (0.001) Loss 1.4465 (1.3407) Prec@1 69.531 (68.713) Prec@5 83.594 (87.149) Epoch: [88][7350/10010] Time 0.317 (0.326) Data 0.001 (0.001) Loss 1.6820 (1.3408) Prec@1 61.719 (68.713) Prec@5 79.688 (87.149) Epoch: [88][7360/10010] Time 0.321 (0.326) Data 0.001 (0.001) Loss 1.2087 (1.3409) Prec@1 74.219 (68.712) Prec@5 89.062 (87.148) Epoch: [88][7370/10010] Time 0.315 (0.326) Data 0.001 (0.001) Loss 1.3520 (1.3409) Prec@1 70.312 (68.711) Prec@5 85.938 (87.146) Epoch: [88][7380/10010] Time 0.336 (0.326) Data 0.001 (0.001) Loss 1.2717 (1.3409) Prec@1 67.969 (68.711) Prec@5 85.156 (87.144) Epoch: [88][7390/10010] Time 0.337 (0.326) Data 0.000 (0.001) Loss 1.3653 (1.3409) Prec@1 71.094 (68.712) Prec@5 85.156 (87.144) Epoch: [88][7400/10010] Time 0.336 (0.326) Data 0.001 (0.001) Loss 1.1485 (1.3408) Prec@1 74.219 (68.715) Prec@5 88.281 (87.146) Epoch: [88][7410/10010] Time 0.326 (0.326) Data 0.001 (0.001) Loss 1.4847 (1.3407) Prec@1 65.625 (68.715) Prec@5 85.156 (87.147) Epoch: [88][7420/10010] Time 0.322 (0.326) Data 0.000 (0.001) Loss 1.1135 (1.3408) Prec@1 73.438 (68.713) Prec@5 91.406 (87.147) Epoch: [88][7430/10010] Time 0.331 (0.326) Data 0.001 (0.001) Loss 1.2267 (1.3409) Prec@1 71.094 (68.709) Prec@5 85.938 (87.147) Epoch: [88][7440/10010] Time 0.339 (0.326) Data 0.001 (0.001) Loss 1.6668 (1.3410) Prec@1 60.938 (68.708) Prec@5 82.812 (87.146) Epoch: [88][7450/10010] Time 0.329 (0.326) Data 0.001 (0.001) Loss 1.0833 (1.3410) Prec@1 71.875 (68.706) Prec@5 90.625 (87.146) Epoch: [88][7460/10010] Time 0.339 (0.326) Data 0.000 (0.001) Loss 1.5314 (1.3410) Prec@1 63.281 (68.705) Prec@5 85.156 (87.146) Epoch: [88][7470/10010] Time 0.340 (0.326) Data 0.000 (0.001) Loss 1.2471 (1.3409) Prec@1 71.875 (68.708) Prec@5 89.062 (87.148) Epoch: [88][7480/10010] Time 0.315 (0.326) Data 0.001 (0.001) Loss 1.4601 (1.3408) Prec@1 67.969 (68.710) Prec@5 86.719 (87.150) Epoch: [88][7490/10010] Time 0.325 (0.326) Data 0.000 (0.001) Loss 1.4038 (1.3408) Prec@1 64.062 (68.710) Prec@5 86.719 (87.151) Epoch: [88][7500/10010] Time 0.334 (0.326) Data 0.000 (0.001) Loss 1.4725 (1.3410) Prec@1 64.062 (68.704) Prec@5 85.938 (87.149) Epoch: [88][7510/10010] Time 0.329 (0.326) Data 0.001 (0.001) Loss 1.2438 (1.3410) Prec@1 72.656 (68.702) Prec@5 86.719 (87.148) Epoch: [88][7520/10010] Time 0.331 (0.326) Data 0.000 (0.001) Loss 1.2526 (1.3410) Prec@1 69.531 (68.704) Prec@5 89.062 (87.147) Epoch: [88][7530/10010] Time 0.337 (0.326) Data 0.001 (0.001) Loss 1.3968 (1.3410) Prec@1 71.875 (68.704) Prec@5 85.938 (87.147) Epoch: [88][7540/10010] Time 0.321 (0.326) Data 0.001 (0.001) Loss 1.3822 (1.3411) Prec@1 66.406 (68.702) Prec@5 85.938 (87.147) Epoch: [88][7550/10010] Time 0.319 (0.326) Data 0.000 (0.001) Loss 1.2231 (1.3411) Prec@1 72.656 (68.705) Prec@5 85.938 (87.146) Epoch: [88][7560/10010] Time 0.323 (0.326) Data 0.001 (0.001) Loss 1.4358 (1.3409) Prec@1 60.938 (68.708) Prec@5 85.156 (87.148) Epoch: [88][7570/10010] Time 0.319 (0.326) Data 0.001 (0.001) Loss 1.3357 (1.3409) Prec@1 69.531 (68.708) Prec@5 89.062 (87.148) Epoch: [88][7580/10010] Time 0.326 (0.326) Data 0.001 (0.001) Loss 1.3994 (1.3408) Prec@1 66.406 (68.709) Prec@5 87.500 (87.149) Epoch: [88][7590/10010] Time 0.328 (0.326) Data 0.001 (0.001) Loss 1.3262 (1.3409) Prec@1 69.531 (68.709) Prec@5 88.281 (87.149) Epoch: [88][7600/10010] Time 0.311 (0.326) Data 0.001 (0.001) Loss 1.2941 (1.3409) Prec@1 69.531 (68.708) Prec@5 87.500 (87.148) Epoch: [88][7610/10010] Time 0.314 (0.326) Data 0.001 (0.001) Loss 1.2745 (1.3408) Prec@1 67.969 (68.711) Prec@5 86.719 (87.149) Epoch: [88][7620/10010] Time 0.337 (0.326) Data 0.001 (0.001) Loss 1.3311 (1.3408) Prec@1 67.969 (68.712) Prec@5 86.719 (87.149) Epoch: [88][7630/10010] Time 0.327 (0.326) Data 0.001 (0.001) Loss 1.4349 (1.3408) Prec@1 67.969 (68.713) Prec@5 86.719 (87.149) Epoch: [88][7640/10010] Time 0.316 (0.326) Data 0.000 (0.001) Loss 1.2366 (1.3409) Prec@1 68.750 (68.711) Prec@5 89.844 (87.147) Epoch: [88][7650/10010] Time 0.324 (0.326) Data 0.001 (0.001) Loss 1.4639 (1.3410) Prec@1 61.719 (68.708) Prec@5 85.938 (87.145) Epoch: [88][7660/10010] Time 0.340 (0.326) Data 0.001 (0.001) Loss 1.4443 (1.3410) Prec@1 64.062 (68.706) Prec@5 82.812 (87.143) Epoch: [88][7670/10010] Time 0.323 (0.326) Data 0.001 (0.001) Loss 1.6077 (1.3410) Prec@1 64.844 (68.707) Prec@5 82.031 (87.141) Epoch: [88][7680/10010] Time 0.327 (0.326) Data 0.001 (0.001) Loss 1.1496 (1.3410) Prec@1 72.656 (68.706) Prec@5 88.281 (87.141) Epoch: [88][7690/10010] Time 0.336 (0.326) Data 0.001 (0.001) Loss 1.3601 (1.3410) Prec@1 71.875 (68.707) Prec@5 88.281 (87.141) Epoch: [88][7700/10010] Time 0.316 (0.326) Data 0.000 (0.001) Loss 1.5420 (1.3409) Prec@1 72.656 (68.710) Prec@5 83.594 (87.142) Epoch: [88][7710/10010] Time 0.344 (0.326) Data 0.000 (0.001) Loss 1.0968 (1.3409) Prec@1 75.000 (68.709) Prec@5 87.500 (87.143) Epoch: [88][7720/10010] Time 0.313 (0.326) Data 0.001 (0.001) Loss 1.4204 (1.3410) Prec@1 64.062 (68.708) Prec@5 87.500 (87.142) Epoch: [88][7730/10010] Time 0.327 (0.326) Data 0.001 (0.001) Loss 1.5492 (1.3410) Prec@1 67.188 (68.710) Prec@5 83.594 (87.142) Epoch: [88][7740/10010] Time 0.326 (0.326) Data 0.001 (0.001) Loss 1.5798 (1.3411) Prec@1 66.406 (68.707) Prec@5 82.031 (87.140) Epoch: [88][7750/10010] Time 0.333 (0.326) Data 0.001 (0.001) Loss 1.3156 (1.3412) Prec@1 73.438 (68.706) Prec@5 87.500 (87.139) Epoch: [88][7760/10010] Time 0.315 (0.326) Data 0.001 (0.001) Loss 1.3936 (1.3412) Prec@1 67.969 (68.706) Prec@5 85.156 (87.137) Epoch: [88][7770/10010] Time 0.317 (0.326) Data 0.001 (0.001) Loss 1.2858 (1.3412) Prec@1 65.625 (68.707) Prec@5 87.500 (87.137) Epoch: [88][7780/10010] Time 0.334 (0.326) Data 0.001 (0.001) Loss 1.3657 (1.3411) Prec@1 67.188 (68.708) Prec@5 84.375 (87.137) Epoch: [88][7790/10010] Time 0.335 (0.326) Data 0.001 (0.001) Loss 1.0412 (1.3411) Prec@1 74.219 (68.707) Prec@5 89.844 (87.138) /data/vision/torralba/deepscene/lib/anaconda2/lib/python2.7/site-packages/PIL/TiffImagePlugin.py:692: UserWarning: Possibly corrupt EXIF data. Expecting to read 2555904 bytes but only got 0. Skipping tag 0 "Skipping tag %s" % (size, len(data), tag)) Epoch: [88][7800/10010] Time 0.317 (0.326) Data 0.001 (0.001) Loss 1.1736 (1.3410) Prec@1 71.875 (68.710) Prec@5 89.844 (87.139) Epoch: [88][7810/10010] Time 0.314 (0.326) Data 0.001 (0.001) Loss 1.2231 (1.3411) Prec@1 71.094 (68.708) Prec@5 90.625 (87.139) Epoch: [88][7820/10010] Time 0.325 (0.326) Data 0.001 (0.001) Loss 1.2560 (1.3411) Prec@1 75.781 (68.708) Prec@5 87.500 (87.140) Epoch: [88][7830/10010] Time 0.315 (0.326) Data 0.001 (0.001) Loss 1.1225 (1.3410) Prec@1 74.219 (68.710) Prec@5 91.406 (87.141) Epoch: [88][7840/10010] Time 0.320 (0.326) Data 0.001 (0.001) Loss 1.6561 (1.3409) Prec@1 64.844 (68.711) Prec@5 80.469 (87.141) Epoch: [88][7850/10010] Time 0.341 (0.326) Data 0.000 (0.001) Loss 1.5079 (1.3409) Prec@1 66.406 (68.711) Prec@5 84.375 (87.142) Epoch: [88][7860/10010] Time 0.326 (0.326) Data 0.000 (0.001) Loss 1.3798 (1.3410) Prec@1 68.750 (68.708) Prec@5 88.281 (87.142) Epoch: [88][7870/10010] Time 0.319 (0.326) Data 0.001 (0.001) Loss 1.1688 (1.3411) Prec@1 75.000 (68.707) Prec@5 88.281 (87.140) Epoch: [88][7880/10010] Time 0.318 (0.326) Data 0.001 (0.001) Loss 1.2134 (1.3411) Prec@1 69.531 (68.706) Prec@5 90.625 (87.141) Epoch: [88][7890/10010] Time 0.314 (0.326) Data 0.001 (0.001) Loss 1.6687 (1.3412) Prec@1 61.719 (68.707) Prec@5 79.688 (87.139) Epoch: [88][7900/10010] Time 0.337 (0.326) Data 0.001 (0.001) Loss 1.1430 (1.3411) Prec@1 74.219 (68.710) Prec@5 86.719 (87.140) Epoch: [88][7910/10010] Time 0.311 (0.326) Data 0.001 (0.001) Loss 1.4590 (1.3411) Prec@1 60.938 (68.708) Prec@5 83.594 (87.138) Epoch: [88][7920/10010] Time 0.319 (0.326) Data 0.000 (0.001) Loss 1.3615 (1.3412) Prec@1 71.094 (68.707) Prec@5 87.500 (87.137) Epoch: [88][7930/10010] Time 0.334 (0.326) Data 0.001 (0.001) Loss 1.2649 (1.3412) Prec@1 71.094 (68.707) Prec@5 91.406 (87.138) Epoch: [88][7940/10010] Time 0.326 (0.326) Data 0.001 (0.001) Loss 1.6253 (1.3412) Prec@1 68.750 (68.708) Prec@5 80.469 (87.137) Epoch: [88][7950/10010] Time 0.312 (0.326) Data 0.001 (0.001) Loss 1.4425 (1.3412) Prec@1 66.406 (68.707) Prec@5 83.594 (87.137) Epoch: [88][7960/10010] Time 0.333 (0.326) Data 0.001 (0.001) Loss 1.2884 (1.3412) Prec@1 71.875 (68.705) Prec@5 86.719 (87.136) Epoch: [88][7970/10010] Time 0.324 (0.326) Data 0.000 (0.001) Loss 1.3537 (1.3413) Prec@1 67.969 (68.706) Prec@5 87.500 (87.135) Epoch: [88][7980/10010] Time 0.325 (0.326) Data 0.001 (0.001) Loss 1.5628 (1.3413) Prec@1 62.500 (68.706) Prec@5 84.375 (87.133) Epoch: [88][7990/10010] Time 0.334 (0.326) Data 0.000 (0.001) Loss 1.6519 (1.3414) Prec@1 64.844 (68.705) Prec@5 80.469 (87.132) Epoch: [88][8000/10010] Time 0.339 (0.326) Data 0.000 (0.001) Loss 1.2935 (1.3414) Prec@1 69.531 (68.704) Prec@5 91.406 (87.131) Epoch: [88][8010/10010] Time 0.341 (0.326) Data 0.001 (0.001) Loss 0.9714 (1.3413) Prec@1 78.125 (68.707) Prec@5 89.062 (87.131) Epoch: [88][8020/10010] Time 0.328 (0.326) Data 0.001 (0.001) Loss 1.4742 (1.3414) Prec@1 74.219 (68.705) Prec@5 82.812 (87.130) Epoch: [88][8030/10010] Time 0.319 (0.326) Data 0.000 (0.001) Loss 1.1697 (1.3413) Prec@1 72.656 (68.706) Prec@5 89.062 (87.131) Epoch: [88][8040/10010] Time 0.323 (0.326) Data 0.001 (0.001) Loss 1.5233 (1.3414) Prec@1 65.625 (68.705) Prec@5 83.594 (87.130) Epoch: [88][8050/10010] Time 0.321 (0.326) Data 0.001 (0.001) Loss 1.4202 (1.3413) Prec@1 64.844 (68.707) Prec@5 86.719 (87.131) Epoch: [88][8060/10010] Time 0.321 (0.326) Data 0.000 (0.001) Loss 1.6567 (1.3412) Prec@1 60.156 (68.706) Prec@5 85.938 (87.133) Epoch: [88][8070/10010] Time 0.316 (0.326) Data 0.001 (0.001) Loss 1.4539 (1.3411) Prec@1 66.406 (68.708) Prec@5 86.719 (87.134) Epoch: [88][8080/10010] Time 0.333 (0.326) Data 0.001 (0.001) Loss 1.2441 (1.3411) Prec@1 70.312 (68.707) Prec@5 85.938 (87.133) Epoch: [88][8090/10010] Time 0.320 (0.326) Data 0.001 (0.001) Loss 1.3357 (1.3410) Prec@1 70.312 (68.710) Prec@5 87.500 (87.135) Epoch: [88][8100/10010] Time 0.320 (0.326) Data 0.000 (0.001) Loss 1.3802 (1.3410) Prec@1 68.750 (68.711) Prec@5 85.938 (87.134) Epoch: [88][8110/10010] Time 0.338 (0.326) Data 0.001 (0.001) Loss 1.4434 (1.3410) Prec@1 60.156 (68.710) Prec@5 90.625 (87.135) Epoch: [88][8120/10010] Time 0.336 (0.326) Data 0.001 (0.001) Loss 1.2263 (1.3410) Prec@1 71.094 (68.711) Prec@5 89.062 (87.134) Epoch: [88][8130/10010] Time 0.340 (0.326) Data 0.000 (0.001) Loss 1.3882 (1.3410) Prec@1 67.188 (68.711) Prec@5 83.594 (87.134) Epoch: [88][8140/10010] Time 0.342 (0.326) Data 0.001 (0.001) Loss 1.1963 (1.3410) Prec@1 72.656 (68.708) Prec@5 88.281 (87.133) Epoch: [88][8150/10010] Time 0.321 (0.326) Data 0.001 (0.001) Loss 1.0515 (1.3409) Prec@1 75.000 (68.709) Prec@5 89.844 (87.134) Epoch: [88][8160/10010] Time 0.318 (0.326) Data 0.001 (0.001) Loss 1.2912 (1.3410) Prec@1 75.000 (68.708) Prec@5 88.281 (87.132) Epoch: [88][8170/10010] Time 0.324 (0.326) Data 0.001 (0.001) Loss 1.0967 (1.3409) Prec@1 73.438 (68.709) Prec@5 89.062 (87.134) Epoch: [88][8180/10010] Time 0.332 (0.326) Data 0.000 (0.001) Loss 1.1589 (1.3408) Prec@1 73.438 (68.712) Prec@5 89.062 (87.134) Epoch: [88][8190/10010] Time 0.314 (0.326) Data 0.001 (0.001) Loss 1.4503 (1.3410) Prec@1 64.844 (68.708) Prec@5 84.375 (87.131) Epoch: [88][8200/10010] Time 0.333 (0.326) Data 0.000 (0.001) Loss 1.1792 (1.3409) Prec@1 74.219 (68.710) Prec@5 89.062 (87.132) Epoch: [88][8210/10010] Time 0.334 (0.326) Data 0.001 (0.001) Loss 1.2646 (1.3410) Prec@1 68.750 (68.708) Prec@5 88.281 (87.133) Epoch: [88][8220/10010] Time 0.333 (0.326) Data 0.001 (0.001) Loss 1.4014 (1.3410) Prec@1 63.281 (68.707) Prec@5 89.062 (87.133) Epoch: [88][8230/10010] Time 0.319 (0.326) Data 0.000 (0.001) Loss 1.1000 (1.3410) Prec@1 76.562 (68.708) Prec@5 90.625 (87.134) Epoch: [88][8240/10010] Time 0.341 (0.326) Data 0.001 (0.001) Loss 1.7216 (1.3410) Prec@1 64.062 (68.708) Prec@5 84.375 (87.133) Epoch: [88][8250/10010] Time 0.314 (0.326) Data 0.001 (0.001) Loss 1.2731 (1.3411) Prec@1 74.219 (68.706) Prec@5 86.719 (87.131) Epoch: [88][8260/10010] Time 0.326 (0.326) Data 0.001 (0.001) Loss 1.2081 (1.3410) Prec@1 69.531 (68.707) Prec@5 90.625 (87.131) Epoch: [88][8270/10010] Time 0.319 (0.326) Data 0.001 (0.001) Loss 1.4948 (1.3410) Prec@1 71.094 (68.708) Prec@5 85.938 (87.131) Epoch: [88][8280/10010] Time 0.325 (0.326) Data 0.001 (0.001) Loss 1.3722 (1.3410) Prec@1 69.531 (68.706) Prec@5 87.500 (87.130) Epoch: [88][8290/10010] Time 0.339 (0.326) Data 0.001 (0.001) Loss 1.2013 (1.3411) Prec@1 72.656 (68.706) Prec@5 87.500 (87.129) Epoch: [88][8300/10010] Time 0.340 (0.326) Data 0.001 (0.001) Loss 1.3741 (1.3410) Prec@1 67.188 (68.706) Prec@5 85.938 (87.131) Epoch: [88][8310/10010] Time 0.336 (0.326) Data 0.001 (0.001) Loss 1.4409 (1.3410) Prec@1 62.500 (68.705) Prec@5 85.938 (87.131) Epoch: [88][8320/10010] Time 0.322 (0.326) Data 0.000 (0.001) Loss 1.3606 (1.3410) Prec@1 69.531 (68.705) Prec@5 89.844 (87.132) Epoch: [88][8330/10010] Time 0.318 (0.326) Data 0.001 (0.001) Loss 1.5789 (1.3410) Prec@1 67.188 (68.704) Prec@5 85.156 (87.131) Epoch: [88][8340/10010] Time 0.318 (0.326) Data 0.001 (0.001) Loss 1.3683 (1.3410) Prec@1 65.625 (68.706) Prec@5 85.938 (87.131) Epoch: [88][8350/10010] Time 0.316 (0.326) Data 0.001 (0.001) Loss 1.5796 (1.3410) Prec@1 62.500 (68.707) Prec@5 80.469 (87.131) Epoch: [88][8360/10010] Time 0.319 (0.326) Data 0.001 (0.001) Loss 1.3601 (1.3410) Prec@1 66.406 (68.706) Prec@5 86.719 (87.132) Epoch: [88][8370/10010] Time 0.330 (0.326) Data 0.001 (0.001) Loss 1.2053 (1.3410) Prec@1 72.656 (68.708) Prec@5 90.625 (87.132) Epoch: [88][8380/10010] Time 0.335 (0.326) Data 0.001 (0.001) Loss 1.2833 (1.3410) Prec@1 70.312 (68.706) Prec@5 84.375 (87.132) Epoch: [88][8390/10010] Time 0.318 (0.326) Data 0.001 (0.001) Loss 1.3387 (1.3410) Prec@1 71.094 (68.704) Prec@5 85.938 (87.132) Epoch: [88][8400/10010] Time 0.329 (0.326) Data 0.000 (0.001) Loss 1.4160 (1.3411) Prec@1 67.969 (68.702) Prec@5 84.375 (87.130) Epoch: [88][8410/10010] Time 0.314 (0.326) Data 0.001 (0.001) Loss 1.4130 (1.3411) Prec@1 68.750 (68.701) Prec@5 83.594 (87.132) Epoch: [88][8420/10010] Time 0.319 (0.326) Data 0.001 (0.001) Loss 1.4328 (1.3412) Prec@1 61.719 (68.700) Prec@5 87.500 (87.132) Epoch: [88][8430/10010] Time 0.313 (0.326) Data 0.001 (0.001) Loss 1.3875 (1.3412) Prec@1 66.406 (68.698) Prec@5 83.594 (87.131) Epoch: [88][8440/10010] Time 0.320 (0.326) Data 0.001 (0.001) Loss 1.2898 (1.3413) Prec@1 67.969 (68.695) Prec@5 87.500 (87.131) Epoch: [88][8450/10010] Time 0.314 (0.326) Data 0.000 (0.001) Loss 1.6799 (1.3413) Prec@1 65.625 (68.694) Prec@5 82.031 (87.131) Epoch: [88][8460/10010] Time 0.314 (0.326) Data 0.001 (0.001) Loss 1.3676 (1.3413) Prec@1 64.844 (68.693) Prec@5 87.500 (87.131) Epoch: [88][8470/10010] Time 0.323 (0.326) Data 0.001 (0.001) Loss 1.3457 (1.3414) Prec@1 64.062 (68.691) Prec@5 85.938 (87.130) Epoch: [88][8480/10010] Time 0.319 (0.326) Data 0.001 (0.001) Loss 1.2218 (1.3414) Prec@1 67.969 (68.692) Prec@5 88.281 (87.129) Epoch: [88][8490/10010] Time 0.318 (0.326) Data 0.000 (0.001) Loss 1.2163 (1.3414) Prec@1 67.969 (68.691) Prec@5 90.625 (87.129) Epoch: [88][8500/10010] Time 0.328 (0.326) Data 0.001 (0.001) Loss 1.2337 (1.3414) Prec@1 70.312 (68.692) Prec@5 89.062 (87.130) Epoch: [88][8510/10010] Time 0.318 (0.326) Data 0.001 (0.001) Loss 1.4853 (1.3414) Prec@1 65.625 (68.691) Prec@5 85.938 (87.130) Epoch: [88][8520/10010] Time 0.334 (0.326) Data 0.001 (0.001) Loss 1.1524 (1.3414) Prec@1 69.531 (68.692) Prec@5 89.062 (87.130) Epoch: [88][8530/10010] Time 0.332 (0.326) Data 0.000 (0.001) Loss 1.3029 (1.3414) Prec@1 68.750 (68.692) Prec@5 90.625 (87.131) Epoch: [88][8540/10010] Time 0.340 (0.326) Data 0.000 (0.001) Loss 1.6734 (1.3414) Prec@1 55.469 (68.690) Prec@5 82.812 (87.132) Epoch: [88][8550/10010] Time 0.312 (0.326) Data 0.001 (0.001) Loss 1.3720 (1.3413) Prec@1 69.531 (68.691) Prec@5 88.281 (87.133) Epoch: [88][8560/10010] Time 0.324 (0.326) Data 0.000 (0.001) Loss 1.1972 (1.3413) Prec@1 72.656 (68.692) Prec@5 92.188 (87.134) Epoch: [88][8570/10010] Time 0.322 (0.326) Data 0.000 (0.001) Loss 1.1720 (1.3412) Prec@1 74.219 (68.694) Prec@5 89.062 (87.135) Epoch: [88][8580/10010] Time 0.335 (0.326) Data 0.001 (0.001) Loss 1.1929 (1.3412) Prec@1 73.438 (68.694) Prec@5 89.844 (87.135) Epoch: [88][8590/10010] Time 0.330 (0.326) Data 0.001 (0.001) Loss 1.3351 (1.3411) Prec@1 67.969 (68.696) Prec@5 89.844 (87.136) Epoch: [88][8600/10010] Time 0.326 (0.326) Data 0.001 (0.001) Loss 1.1307 (1.3411) Prec@1 71.875 (68.698) Prec@5 92.188 (87.138) Epoch: [88][8610/10010] Time 0.318 (0.326) Data 0.000 (0.001) Loss 1.3611 (1.3411) Prec@1 67.188 (68.696) Prec@5 89.062 (87.139) Epoch: [88][8620/10010] Time 0.333 (0.326) Data 0.001 (0.001) Loss 1.2776 (1.3410) Prec@1 67.188 (68.698) Prec@5 87.500 (87.139) Epoch: [88][8630/10010] Time 0.323 (0.326) Data 0.001 (0.001) Loss 1.4416 (1.3410) Prec@1 67.188 (68.700) Prec@5 88.281 (87.140) Epoch: [88][8640/10010] Time 0.319 (0.326) Data 0.001 (0.001) Loss 1.2893 (1.3410) Prec@1 67.969 (68.700) Prec@5 89.062 (87.140) Epoch: [88][8650/10010] Time 0.338 (0.326) Data 0.000 (0.001) Loss 1.3495 (1.3410) Prec@1 72.656 (68.701) Prec@5 85.156 (87.140) Epoch: [88][8660/10010] Time 0.329 (0.326) Data 0.001 (0.001) Loss 1.7078 (1.3410) Prec@1 60.156 (68.701) Prec@5 83.594 (87.140) Epoch: [88][8670/10010] Time 0.321 (0.326) Data 0.001 (0.001) Loss 1.4376 (1.3410) Prec@1 66.406 (68.701) Prec@5 86.719 (87.140) Epoch: [88][8680/10010] Time 0.333 (0.326) Data 0.001 (0.001) Loss 1.2460 (1.3409) Prec@1 66.406 (68.702) Prec@5 89.062 (87.140) Epoch: [88][8690/10010] Time 0.321 (0.326) Data 0.001 (0.001) Loss 1.2408 (1.3409) Prec@1 68.750 (68.702) Prec@5 87.500 (87.140) Epoch: [88][8700/10010] Time 0.319 (0.326) Data 0.001 (0.001) Loss 1.0713 (1.3409) Prec@1 76.562 (68.703) Prec@5 89.062 (87.140) Epoch: [88][8710/10010] Time 0.309 (0.326) Data 0.001 (0.001) Loss 1.5157 (1.3409) Prec@1 66.406 (68.702) Prec@5 82.031 (87.141) Epoch: [88][8720/10010] Time 0.316 (0.326) Data 0.000 (0.001) Loss 1.3704 (1.3409) Prec@1 64.062 (68.700) Prec@5 86.719 (87.140) Epoch: [88][8730/10010] Time 0.334 (0.326) Data 0.001 (0.001) Loss 1.5420 (1.3411) Prec@1 65.625 (68.697) Prec@5 82.812 (87.138) /data/vision/torralba/deepscene/lib/anaconda2/lib/python2.7/site-packages/PIL/TiffImagePlugin.py:692: UserWarning: Possibly corrupt EXIF data. Expecting to read 1835008 bytes but only got 0. Skipping tag 0 "Skipping tag %s" % (size, len(data), tag)) Epoch: [88][8740/10010] Time 0.323 (0.326) Data 0.001 (0.001) Loss 1.4205 (1.3410) Prec@1 67.188 (68.698) Prec@5 86.719 (87.139) Epoch: [88][8750/10010] Time 0.327 (0.326) Data 0.001 (0.001) Loss 1.0897 (1.3410) Prec@1 75.781 (68.699) Prec@5 91.406 (87.139) Epoch: [88][8760/10010] Time 0.322 (0.326) Data 0.000 (0.001) Loss 1.2946 (1.3411) Prec@1 66.406 (68.697) Prec@5 89.844 (87.139) Epoch: [88][8770/10010] Time 0.315 (0.326) Data 0.000 (0.001) Loss 1.1852 (1.3411) Prec@1 69.531 (68.698) Prec@5 89.062 (87.137) Epoch: [88][8780/10010] Time 0.326 (0.326) Data 0.000 (0.001) Loss 1.1340 (1.3410) Prec@1 73.438 (68.699) Prec@5 92.969 (87.138) Epoch: [88][8790/10010] Time 0.316 (0.326) Data 0.001 (0.001) Loss 1.5314 (1.3410) Prec@1 62.500 (68.698) Prec@5 85.938 (87.138) Epoch: [88][8800/10010] Time 0.335 (0.326) Data 0.001 (0.001) Loss 1.3386 (1.3411) Prec@1 67.969 (68.697) Prec@5 88.281 (87.136) Epoch: [88][8810/10010] Time 0.309 (0.326) Data 0.001 (0.001) Loss 1.2603 (1.3411) Prec@1 68.750 (68.697) Prec@5 89.844 (87.136) Epoch: [88][8820/10010] Time 0.314 (0.326) Data 0.001 (0.001) Loss 1.4511 (1.3411) Prec@1 67.188 (68.696) Prec@5 83.594 (87.136) Epoch: [88][8830/10010] Time 0.324 (0.326) Data 0.001 (0.001) Loss 1.4109 (1.3412) Prec@1 67.188 (68.695) Prec@5 83.594 (87.134) Epoch: [88][8840/10010] Time 0.318 (0.326) Data 0.001 (0.001) Loss 1.5586 (1.3411) Prec@1 67.188 (68.696) Prec@5 82.812 (87.135) Epoch: [88][8850/10010] Time 0.332 (0.326) Data 0.000 (0.001) Loss 1.4711 (1.3412) Prec@1 64.062 (68.696) Prec@5 83.594 (87.134) Epoch: [88][8860/10010] Time 0.318 (0.326) Data 0.001 (0.001) Loss 1.4834 (1.3412) Prec@1 67.969 (68.696) Prec@5 85.938 (87.135) Epoch: [88][8870/10010] Time 0.340 (0.326) Data 0.001 (0.001) Loss 1.3182 (1.3411) Prec@1 69.531 (68.697) Prec@5 86.719 (87.135) Epoch: [88][8880/10010] Time 0.344 (0.326) Data 0.000 (0.001) Loss 1.3292 (1.3412) Prec@1 66.406 (68.696) Prec@5 86.719 (87.134) Epoch: [88][8890/10010] Time 0.326 (0.326) Data 0.001 (0.001) Loss 1.2435 (1.3412) Prec@1 67.188 (68.695) Prec@5 90.625 (87.133) Epoch: [88][8900/10010] Time 0.320 (0.326) Data 0.000 (0.001) Loss 1.5431 (1.3413) Prec@1 67.969 (68.694) Prec@5 82.031 (87.133) Epoch: [88][8910/10010] Time 0.334 (0.326) Data 0.001 (0.001) Loss 1.2647 (1.3412) Prec@1 69.531 (68.695) Prec@5 89.844 (87.134) Epoch: [88][8920/10010] Time 0.320 (0.326) Data 0.000 (0.001) Loss 1.3971 (1.3413) Prec@1 65.625 (68.694) Prec@5 89.844 (87.134) Epoch: [88][8930/10010] Time 0.328 (0.326) Data 0.001 (0.001) Loss 1.6740 (1.3412) Prec@1 71.094 (68.695) Prec@5 84.375 (87.135) Epoch: [88][8940/10010] Time 0.320 (0.326) Data 0.001 (0.001) Loss 1.6798 (1.3412) Prec@1 62.500 (68.696) Prec@5 84.375 (87.135) Epoch: [88][8950/10010] Time 0.318 (0.326) Data 0.001 (0.001) Loss 1.1162 (1.3412) Prec@1 71.875 (68.698) Prec@5 89.844 (87.135) Epoch: [88][8960/10010] Time 0.318 (0.326) Data 0.000 (0.001) Loss 1.0831 (1.3412) Prec@1 74.219 (68.698) Prec@5 91.406 (87.135) Epoch: [88][8970/10010] Time 0.332 (0.326) Data 0.000 (0.001) Loss 1.0936 (1.3411) Prec@1 71.094 (68.699) Prec@5 91.406 (87.137) Epoch: [88][8980/10010] Time 0.329 (0.326) Data 0.001 (0.001) Loss 1.3255 (1.3411) Prec@1 69.531 (68.699) Prec@5 89.062 (87.136) Epoch: [88][8990/10010] Time 0.330 (0.326) Data 0.000 (0.001) Loss 1.3542 (1.3411) Prec@1 67.969 (68.699) Prec@5 88.281 (87.136) Epoch: [88][9000/10010] Time 0.328 (0.326) Data 0.001 (0.001) Loss 1.4136 (1.3411) Prec@1 67.188 (68.699) Prec@5 87.500 (87.136) Epoch: [88][9010/10010] Time 0.315 (0.326) Data 0.001 (0.001) Loss 1.2696 (1.3410) Prec@1 74.219 (68.702) Prec@5 88.281 (87.137) Epoch: [88][9020/10010] Time 0.336 (0.326) Data 0.001 (0.001) Loss 1.4681 (1.3411) Prec@1 66.406 (68.701) Prec@5 83.594 (87.137) Epoch: [88][9030/10010] Time 0.331 (0.326) Data 0.000 (0.001) Loss 1.2622 (1.3410) Prec@1 73.438 (68.701) Prec@5 88.281 (87.137) Epoch: [88][9040/10010] Time 0.333 (0.326) Data 0.001 (0.001) Loss 1.4029 (1.3411) Prec@1 64.844 (68.700) Prec@5 86.719 (87.137) Epoch: [88][9050/10010] Time 0.317 (0.326) Data 0.001 (0.001) Loss 1.3314 (1.3411) Prec@1 70.312 (68.699) Prec@5 85.938 (87.136) Epoch: [88][9060/10010] Time 0.319 (0.326) Data 0.001 (0.001) Loss 1.1083 (1.3411) Prec@1 71.094 (68.697) Prec@5 93.750 (87.137) Epoch: [88][9070/10010] Time 0.321 (0.326) Data 0.000 (0.001) Loss 1.0563 (1.3411) Prec@1 71.875 (68.698) Prec@5 92.188 (87.139) Epoch: [88][9080/10010] Time 0.337 (0.326) Data 0.001 (0.001) Loss 1.3321 (1.3411) Prec@1 64.062 (68.698) Prec@5 86.719 (87.139) Epoch: [88][9090/10010] Time 0.322 (0.326) Data 0.001 (0.001) Loss 1.4049 (1.3411) Prec@1 72.656 (68.696) Prec@5 87.500 (87.138) Epoch: [88][9100/10010] Time 0.335 (0.326) Data 0.000 (0.001) Loss 1.1486 (1.3412) Prec@1 70.312 (68.697) Prec@5 91.406 (87.138) Epoch: [88][9110/10010] Time 0.337 (0.326) Data 0.000 (0.001) Loss 1.3025 (1.3412) Prec@1 70.312 (68.697) Prec@5 85.938 (87.137) Epoch: [88][9120/10010] Time 0.317 (0.326) Data 0.001 (0.001) Loss 1.4637 (1.3412) Prec@1 67.188 (68.697) Prec@5 82.812 (87.137) Epoch: [88][9130/10010] Time 0.319 (0.326) Data 0.000 (0.001) Loss 1.3733 (1.3412) Prec@1 69.531 (68.696) Prec@5 85.156 (87.136) Epoch: [88][9140/10010] Time 0.343 (0.326) Data 0.001 (0.001) Loss 1.3971 (1.3412) Prec@1 65.625 (68.695) Prec@5 84.375 (87.136) Epoch: [88][9150/10010] Time 0.334 (0.326) Data 0.001 (0.001) Loss 1.2752 (1.3412) Prec@1 69.531 (68.696) Prec@5 88.281 (87.136) Epoch: [88][9160/10010] Time 0.324 (0.326) Data 0.001 (0.001) Loss 1.1780 (1.3412) Prec@1 69.531 (68.694) Prec@5 89.062 (87.136) Epoch: [88][9170/10010] Time 0.311 (0.326) Data 0.001 (0.001) Loss 1.0577 (1.3411) Prec@1 75.781 (68.695) Prec@5 89.062 (87.136) Epoch: [88][9180/10010] Time 0.332 (0.326) Data 0.001 (0.001) Loss 1.3352 (1.3411) Prec@1 65.625 (68.694) Prec@5 85.156 (87.136) Epoch: [88][9190/10010] Time 0.343 (0.326) Data 0.000 (0.001) Loss 1.4549 (1.3413) Prec@1 64.844 (68.691) Prec@5 85.938 (87.134) Epoch: [88][9200/10010] Time 0.332 (0.326) Data 0.001 (0.001) Loss 1.3614 (1.3413) Prec@1 69.531 (68.690) Prec@5 89.062 (87.133) Epoch: [88][9210/10010] Time 0.329 (0.326) Data 0.001 (0.001) Loss 1.3642 (1.3414) Prec@1 71.094 (68.688) Prec@5 86.719 (87.131) Epoch: [88][9220/10010] Time 0.322 (0.326) Data 0.001 (0.001) Loss 1.3447 (1.3415) Prec@1 71.875 (68.689) Prec@5 86.719 (87.130) Epoch: [88][9230/10010] Time 0.324 (0.326) Data 0.000 (0.001) Loss 1.3378 (1.3415) Prec@1 64.844 (68.690) Prec@5 88.281 (87.130) Epoch: [88][9240/10010] Time 0.316 (0.326) Data 0.000 (0.001) Loss 1.7219 (1.3415) Prec@1 63.281 (68.690) Prec@5 80.469 (87.131) Epoch: [88][9250/10010] Time 0.326 (0.326) Data 0.001 (0.001) Loss 1.5595 (1.3416) Prec@1 65.625 (68.686) Prec@5 86.719 (87.129) Epoch: [88][9260/10010] Time 0.340 (0.326) Data 0.000 (0.001) Loss 1.2578 (1.3416) Prec@1 67.969 (68.687) Prec@5 86.719 (87.129) Epoch: [88][9270/10010] Time 0.330 (0.326) Data 0.001 (0.001) Loss 1.2193 (1.3417) Prec@1 74.219 (68.686) Prec@5 87.500 (87.128) Epoch: [88][9280/10010] Time 0.331 (0.326) Data 0.001 (0.001) Loss 1.3789 (1.3417) Prec@1 72.656 (68.686) Prec@5 85.938 (87.127) Epoch: [88][9290/10010] Time 0.322 (0.326) Data 0.000 (0.001) Loss 1.5272 (1.3418) Prec@1 65.625 (68.687) Prec@5 83.594 (87.125) Epoch: [88][9300/10010] Time 0.316 (0.326) Data 0.001 (0.001) Loss 1.5321 (1.3418) Prec@1 64.062 (68.686) Prec@5 83.594 (87.125) Epoch: [88][9310/10010] Time 0.334 (0.326) Data 0.000 (0.001) Loss 1.2651 (1.3417) Prec@1 78.906 (68.686) Prec@5 87.500 (87.127) Epoch: [88][9320/10010] Time 0.330 (0.326) Data 0.003 (0.001) Loss 1.4040 (1.3418) Prec@1 68.750 (68.685) Prec@5 82.812 (87.125) Epoch: [88][9330/10010] Time 0.322 (0.326) Data 0.001 (0.001) Loss 1.3029 (1.3418) Prec@1 68.750 (68.686) Prec@5 89.844 (87.125) Epoch: [88][9340/10010] Time 0.321 (0.326) Data 0.000 (0.001) Loss 1.7314 (1.3419) Prec@1 59.375 (68.684) Prec@5 82.812 (87.125) Epoch: [88][9350/10010] Time 0.322 (0.326) Data 0.001 (0.001) Loss 1.2085 (1.3419) Prec@1 69.531 (68.683) Prec@5 89.844 (87.125) Epoch: [88][9360/10010] Time 0.315 (0.326) Data 0.001 (0.001) Loss 1.3869 (1.3419) Prec@1 70.312 (68.684) Prec@5 86.719 (87.127) Epoch: [88][9370/10010] Time 0.329 (0.326) Data 0.001 (0.001) Loss 1.5318 (1.3419) Prec@1 65.625 (68.684) Prec@5 85.938 (87.127) Epoch: [88][9380/10010] Time 0.325 (0.326) Data 0.001 (0.001) Loss 1.3759 (1.3420) Prec@1 69.531 (68.683) Prec@5 82.812 (87.125) Epoch: [88][9390/10010] Time 0.335 (0.326) Data 0.000 (0.001) Loss 1.1947 (1.3420) Prec@1 64.844 (68.682) Prec@5 92.188 (87.125) Epoch: [88][9400/10010] Time 0.323 (0.326) Data 0.001 (0.001) Loss 1.3318 (1.3421) Prec@1 67.969 (68.680) Prec@5 85.938 (87.123) Epoch: [88][9410/10010] Time 0.315 (0.326) Data 0.001 (0.001) Loss 1.4592 (1.3421) Prec@1 69.531 (68.681) Prec@5 84.375 (87.123) Epoch: [88][9420/10010] Time 0.322 (0.326) Data 0.001 (0.001) Loss 1.1941 (1.3421) Prec@1 71.875 (68.683) Prec@5 87.500 (87.123) Epoch: [88][9430/10010] Time 0.338 (0.326) Data 0.000 (0.001) Loss 1.3326 (1.3422) Prec@1 65.625 (68.680) Prec@5 85.156 (87.120) Epoch: [88][9440/10010] Time 0.337 (0.326) Data 0.001 (0.001) Loss 1.2483 (1.3422) Prec@1 74.219 (68.682) Prec@5 90.625 (87.120) Epoch: [88][9450/10010] Time 0.338 (0.326) Data 0.001 (0.001) Loss 1.2348 (1.3423) Prec@1 76.562 (68.682) Prec@5 87.500 (87.119) Epoch: [88][9460/10010] Time 0.340 (0.326) Data 0.000 (0.001) Loss 1.6986 (1.3423) Prec@1 60.938 (68.682) Prec@5 77.344 (87.118) Epoch: [88][9470/10010] Time 0.337 (0.326) Data 0.001 (0.001) Loss 1.4532 (1.3424) Prec@1 70.312 (68.681) Prec@5 85.156 (87.117) Epoch: [88][9480/10010] Time 0.316 (0.326) Data 0.000 (0.001) Loss 1.4227 (1.3424) Prec@1 67.969 (68.679) Prec@5 80.469 (87.116) Epoch: [88][9490/10010] Time 0.319 (0.326) Data 0.001 (0.001) Loss 1.1934 (1.3424) Prec@1 68.750 (68.680) Prec@5 89.844 (87.117) Epoch: [88][9500/10010] Time 0.321 (0.326) Data 0.001 (0.001) Loss 1.0884 (1.3424) Prec@1 75.781 (68.681) Prec@5 91.406 (87.116) Epoch: [88][9510/10010] Time 0.325 (0.326) Data 0.000 (0.001) Loss 1.2902 (1.3424) Prec@1 71.875 (68.680) Prec@5 84.375 (87.116) Epoch: [88][9520/10010] Time 0.320 (0.326) Data 0.001 (0.001) Loss 1.0399 (1.3425) Prec@1 75.000 (68.680) Prec@5 91.406 (87.114) Epoch: [88][9530/10010] Time 0.314 (0.326) Data 0.001 (0.001) Loss 1.0519 (1.3426) Prec@1 72.656 (68.679) Prec@5 88.281 (87.113) Epoch: [88][9540/10010] Time 0.322 (0.326) Data 0.001 (0.001) Loss 1.3528 (1.3426) Prec@1 70.312 (68.680) Prec@5 87.500 (87.113) Epoch: [88][9550/10010] Time 0.318 (0.326) Data 0.000 (0.001) Loss 1.1061 (1.3425) Prec@1 71.094 (68.681) Prec@5 88.281 (87.114) Epoch: [88][9560/10010] Time 0.341 (0.326) Data 0.001 (0.001) Loss 1.3733 (1.3426) Prec@1 68.750 (68.679) Prec@5 84.375 (87.112) Epoch: [88][9570/10010] Time 0.324 (0.326) Data 0.001 (0.001) Loss 1.5270 (1.3426) Prec@1 64.062 (68.680) Prec@5 83.594 (87.111) Epoch: [88][9580/10010] Time 0.341 (0.326) Data 0.001 (0.001) Loss 1.4731 (1.3426) Prec@1 69.531 (68.679) Prec@5 87.500 (87.110) Epoch: [88][9590/10010] Time 0.319 (0.326) Data 0.000 (0.001) Loss 1.2727 (1.3426) Prec@1 69.531 (68.679) Prec@5 88.281 (87.110) Epoch: [88][9600/10010] Time 0.338 (0.326) Data 0.000 (0.001) Loss 1.2695 (1.3425) Prec@1 70.312 (68.681) Prec@5 85.938 (87.110) Epoch: [88][9610/10010] Time 0.335 (0.326) Data 0.000 (0.001) Loss 1.4410 (1.3425) Prec@1 68.750 (68.681) Prec@5 88.281 (87.112) Epoch: [88][9620/10010] Time 0.315 (0.326) Data 0.001 (0.001) Loss 1.5377 (1.3425) Prec@1 67.188 (68.681) Prec@5 82.812 (87.111) Epoch: [88][9630/10010] Time 0.332 (0.326) Data 0.000 (0.001) Loss 1.5536 (1.3426) Prec@1 63.281 (68.680) Prec@5 82.031 (87.110) Epoch: [88][9640/10010] Time 0.320 (0.326) Data 0.001 (0.001) Loss 1.3131 (1.3425) Prec@1 69.531 (68.681) Prec@5 86.719 (87.110) Epoch: [88][9650/10010] Time 0.340 (0.326) Data 0.000 (0.001) Loss 1.4347 (1.3425) Prec@1 70.312 (68.679) Prec@5 84.375 (87.110) Epoch: [88][9660/10010] Time 0.338 (0.326) Data 0.001 (0.001) Loss 1.6356 (1.3426) Prec@1 60.156 (68.678) Prec@5 83.594 (87.109) Epoch: [88][9670/10010] Time 0.316 (0.326) Data 0.001 (0.001) Loss 1.2389 (1.3425) Prec@1 69.531 (68.681) Prec@5 88.281 (87.110) Epoch: [88][9680/10010] Time 0.341 (0.326) Data 0.000 (0.001) Loss 1.3695 (1.3425) Prec@1 68.750 (68.681) Prec@5 88.281 (87.110) Epoch: [88][9690/10010] Time 0.338 (0.326) Data 0.001 (0.001) Loss 1.3472 (1.3425) Prec@1 65.625 (68.681) Prec@5 86.719 (87.110) Epoch: [88][9700/10010] Time 0.316 (0.326) Data 0.001 (0.001) Loss 1.1988 (1.3424) Prec@1 71.094 (68.683) Prec@5 89.062 (87.112) Epoch: [88][9710/10010] Time 0.327 (0.326) Data 0.000 (0.001) Loss 1.2716 (1.3424) Prec@1 65.625 (68.681) Prec@5 87.500 (87.112) Epoch: [88][9720/10010] Time 0.339 (0.326) Data 0.001 (0.001) Loss 1.4753 (1.3424) Prec@1 68.750 (68.682) Prec@5 85.156 (87.113) Epoch: [88][9730/10010] Time 0.331 (0.326) Data 0.001 (0.001) Loss 1.1248 (1.3423) Prec@1 71.875 (68.683) Prec@5 89.844 (87.113) Epoch: [88][9740/10010] Time 0.315 (0.326) Data 0.000 (0.001) Loss 1.5832 (1.3423) Prec@1 61.719 (68.683) Prec@5 81.250 (87.114) Epoch: [88][9750/10010] Time 0.338 (0.326) Data 0.001 (0.001) Loss 1.3322 (1.3422) Prec@1 65.625 (68.683) Prec@5 85.938 (87.114) Epoch: [88][9760/10010] Time 0.329 (0.326) Data 0.001 (0.001) Loss 1.4322 (1.3421) Prec@1 68.750 (68.685) Prec@5 85.938 (87.117) Epoch: [88][9770/10010] Time 0.319 (0.326) Data 0.001 (0.001) Loss 1.2061 (1.3422) Prec@1 75.781 (68.686) Prec@5 90.625 (87.116) Epoch: [88][9780/10010] Time 0.317 (0.326) Data 0.001 (0.001) Loss 1.4864 (1.3422) Prec@1 62.500 (68.686) Prec@5 83.594 (87.116) Epoch: [88][9790/10010] Time 0.324 (0.326) Data 0.001 (0.001) Loss 1.1624 (1.3422) Prec@1 71.094 (68.687) Prec@5 88.281 (87.116) Epoch: [88][9800/10010] Time 0.316 (0.326) Data 0.001 (0.001) Loss 1.1783 (1.3422) Prec@1 77.344 (68.687) Prec@5 91.406 (87.117) Epoch: [88][9810/10010] Time 0.333 (0.326) Data 0.001 (0.001) Loss 1.3069 (1.3422) Prec@1 69.531 (68.687) Prec@5 82.812 (87.115) Epoch: [88][9820/10010] Time 0.329 (0.326) Data 0.001 (0.001) Loss 1.0833 (1.3422) Prec@1 77.344 (68.685) Prec@5 89.062 (87.114) Epoch: [88][9830/10010] Time 0.338 (0.326) Data 0.000 (0.001) Loss 1.6039 (1.3423) Prec@1 62.500 (68.683) Prec@5 82.812 (87.111) Epoch: [88][9840/10010] Time 0.318 (0.326) Data 0.001 (0.001) Loss 1.4873 (1.3424) Prec@1 63.281 (68.683) Prec@5 85.938 (87.112) Epoch: [88][9850/10010] Time 0.316 (0.326) Data 0.001 (0.001) Loss 1.5051 (1.3424) Prec@1 63.281 (68.683) Prec@5 84.375 (87.111) Epoch: [88][9860/10010] Time 0.323 (0.326) Data 0.001 (0.001) Loss 1.6019 (1.3424) Prec@1 64.844 (68.683) Prec@5 85.938 (87.112) Epoch: [88][9870/10010] Time 0.346 (0.326) Data 0.000 (0.001) Loss 1.4039 (1.3425) Prec@1 71.094 (68.682) Prec@5 85.156 (87.110) Epoch: [88][9880/10010] Time 0.317 (0.326) Data 0.000 (0.001) Loss 1.1698 (1.3425) Prec@1 68.750 (68.681) Prec@5 91.406 (87.111) Epoch: [88][9890/10010] Time 0.335 (0.326) Data 0.001 (0.001) Loss 1.7395 (1.3426) Prec@1 58.594 (68.679) Prec@5 82.812 (87.110) Epoch: [88][9900/10010] Time 0.320 (0.326) Data 0.001 (0.001) Loss 1.1293 (1.3426) Prec@1 73.438 (68.679) Prec@5 89.062 (87.110) Epoch: [88][9910/10010] Time 0.322 (0.326) Data 0.001 (0.001) Loss 1.3172 (1.3426) Prec@1 76.562 (68.679) Prec@5 86.719 (87.109) Epoch: [88][9920/10010] Time 0.318 (0.326) Data 0.001 (0.001) Loss 1.0511 (1.3427) Prec@1 78.125 (68.676) Prec@5 93.750 (87.109) Epoch: [88][9930/10010] Time 0.315 (0.326) Data 0.001 (0.001) Loss 1.4800 (1.3427) Prec@1 63.281 (68.676) Prec@5 89.062 (87.109) Epoch: [88][9940/10010] Time 0.316 (0.326) Data 0.001 (0.001) Loss 1.1591 (1.3428) Prec@1 71.094 (68.675) Prec@5 91.406 (87.109) Epoch: [88][9950/10010] Time 0.332 (0.326) Data 0.001 (0.001) Loss 1.4095 (1.3428) Prec@1 60.938 (68.672) Prec@5 87.500 (87.108) Epoch: [88][9960/10010] Time 0.340 (0.326) Data 0.000 (0.001) Loss 1.1704 (1.3428) Prec@1 71.875 (68.671) Prec@5 88.281 (87.108) Epoch: [88][9970/10010] Time 0.319 (0.326) Data 0.001 (0.001) Loss 1.4533 (1.3429) Prec@1 68.750 (68.671) Prec@5 87.500 (87.108) Epoch: [88][9980/10010] Time 0.320 (0.326) Data 0.000 (0.001) Loss 1.2032 (1.3428) Prec@1 69.531 (68.673) Prec@5 91.406 (87.109) Epoch: [88][9990/10010] Time 0.322 (0.326) Data 0.000 (0.001) Loss 1.3795 (1.3427) Prec@1 67.188 (68.674) Prec@5 89.844 (87.110) Epoch: [88][10000/10010] Time 0.336 (0.326) Data 0.000 (0.001) Loss 1.6198 (1.3428) Prec@1 61.719 (68.672) Prec@5 83.594 (87.108) Test: [0/391] Time 1.520 (1.520) Loss 0.6798 (0.6798) Prec@1 84.375 (84.375) Prec@5 96.094 (96.094) Test: [10/391] Time 0.113 (0.236) Loss 1.0771 (0.6118) Prec@1 71.094 (83.807) Prec@5 91.406 (95.810) Test: [20/391] Time 0.103 (0.182) Loss 0.8275 (0.8565) Prec@1 78.125 (77.418) Prec@5 92.969 (93.378) Test: [30/391] Time 0.104 (0.157) Loss 1.5731 (0.9869) Prec@1 71.094 (73.841) Prec@5 85.156 (92.465) Test: [40/391] Time 0.110 (0.144) Loss 0.8877 (0.8984) Prec@1 77.344 (76.296) Prec@5 89.844 (93.102) Test: [50/391] Time 0.108 (0.137) Loss 0.5121 (0.9232) Prec@1 85.938 (76.271) Prec@5 96.094 (92.770) Test: [60/391] Time 0.100 (0.132) Loss 1.1184 (0.8753) Prec@1 72.656 (77.638) Prec@5 91.406 (93.238) Test: [70/391] Time 0.102 (0.128) Loss 1.0387 (0.9025) Prec@1 69.531 (76.695) Prec@5 94.531 (93.266) Test: [80/391] Time 0.108 (0.125) Loss 0.8729 (0.9198) Prec@1 77.344 (76.022) Prec@5 92.969 (93.210) Test: [90/391] Time 0.106 (0.123) Loss 1.1149 (0.9213) Prec@1 61.719 (75.927) Prec@5 93.750 (93.269) Test: [100/391] Time 0.177 (0.122) Loss 0.6668 (0.9136) Prec@1 82.812 (75.797) Prec@5 96.094 (93.502) Test: [110/391] Time 0.105 (0.120) Loss 1.2050 (0.9158) Prec@1 53.906 (75.549) Prec@5 94.531 (93.595) Test: [120/391] Time 0.105 (0.119) Loss 0.7544 (0.9119) Prec@1 81.250 (75.775) Prec@5 96.875 (93.647) Test: [130/391] Time 0.105 (0.118) Loss 0.4472 (0.9070) Prec@1 91.406 (76.062) Prec@5 96.875 (93.708) Test: [140/391] Time 0.108 (0.117) Loss 1.1296 (0.9045) Prec@1 68.750 (76.025) Prec@5 92.188 (93.783) Test: [150/391] Time 0.100 (0.116) Loss 0.9284 (0.9108) Prec@1 69.531 (76.009) Prec@5 93.750 (93.652) Test: [160/391] Time 0.102 (0.116) Loss 0.9549 (0.9169) Prec@1 75.000 (75.903) Prec@5 92.969 (93.570) Test: [170/391] Time 0.104 (0.115) Loss 1.6496 (0.9485) Prec@1 63.281 (75.274) Prec@5 86.719 (93.170) Test: [180/391] Time 0.107 (0.115) Loss 1.9174 (0.9789) Prec@1 55.469 (74.629) Prec@5 85.938 (92.813) Test: [190/391] Time 0.102 (0.114) Loss 2.1079 (1.0145) Prec@1 53.125 (73.904) Prec@5 82.812 (92.339) Test: [200/391] Time 0.223 (0.114) Loss 1.1773 (1.0452) Prec@1 68.750 (73.329) Prec@5 91.406 (91.912) Test: [210/391] Time 0.108 (0.114) Loss 1.5895 (1.0642) Prec@1 62.500 (72.949) Prec@5 88.281 (91.751) Test: [220/391] Time 0.104 (0.114) Loss 0.6375 (1.0737) Prec@1 83.594 (72.784) Prec@5 95.312 (91.562) Test: [230/391] Time 0.104 (0.113) Loss 1.9873 (1.0858) Prec@1 53.125 (72.582) Prec@5 84.375 (91.403) Test: [240/391] Time 0.101 (0.113) Loss 1.3210 (1.0937) Prec@1 75.781 (72.543) Prec@5 88.281 (91.254) Test: [250/391] Time 0.101 (0.113) Loss 0.7625 (1.1184) Prec@1 79.688 (71.950) Prec@5 90.625 (90.933) Test: [260/391] Time 0.107 (0.113) Loss 1.2750 (1.1326) Prec@1 71.875 (71.662) Prec@5 89.062 (90.781) Test: [270/391] Time 0.109 (0.112) Loss 2.1021 (1.1430) Prec@1 50.781 (71.477) Prec@5 81.250 (90.651) Test: [280/391] Time 0.103 (0.112) Loss 1.1919 (1.1499) Prec@1 68.750 (71.352) Prec@5 92.969 (90.583) Test: [290/391] Time 0.099 (0.112) Loss 1.6451 (1.1621) Prec@1 50.781 (71.104) Prec@5 86.719 (90.383) Test: [300/391] Time 0.104 (0.112) Loss 1.2266 (1.1733) Prec@1 75.781 (70.920) Prec@5 88.281 (90.215) Test: [310/391] Time 0.105 (0.112) Loss 1.4381 (1.1813) Prec@1 67.188 (70.765) Prec@5 85.156 (90.055) Test: [320/391] Time 0.101 (0.111) Loss 0.8445 (1.1891) Prec@1 78.125 (70.634) Prec@5 94.531 (89.980) Test: [330/391] Time 0.106 (0.111) Loss 1.9328 (1.2089) Prec@1 55.469 (70.244) Prec@5 81.250 (89.723) Test: [340/391] Time 0.105 (0.111) Loss 1.1374 (1.2153) Prec@1 66.406 (70.102) Prec@5 95.312 (89.647) Test: [350/391] Time 0.101 (0.111) Loss 1.3038 (1.2198) Prec@1 71.875 (70.048) Prec@5 89.844 (89.570) Test: [360/391] Time 0.112 (0.111) Loss 1.3148 (1.2274) Prec@1 64.062 (69.893) Prec@5 92.188 (89.508) Test: [370/391] Time 0.105 (0.111) Loss 1.0464 (1.2224) Prec@1 69.531 (69.942) Prec@5 96.875 (89.576) Test: [380/391] Time 0.106 (0.111) Loss 0.9496 (1.2245) Prec@1 76.562 (69.878) Prec@5 92.969 (89.546) Test: [390/391] Time 0.071 (0.110) Loss 2.1289 (1.2183) Prec@1 40.000 (70.044) Prec@5 80.000 (89.614) * Prec@1 70.044 Prec@5 89.614 Epoch: [89][0/10010] Time 2.734 (2.734) Data 2.554 (2.554) Loss 1.2912 (1.2912) Prec@1 67.969 (67.969) Prec@5 89.062 (89.062) Epoch: [89][10/10010] Time 0.314 (0.541) Data 0.001 (0.254) Loss 1.3694 (1.2876) Prec@1 66.406 (69.176) Prec@5 86.719 (87.287) Epoch: [89][20/10010] Time 0.320 (0.435) Data 0.001 (0.133) Loss 1.2664 (1.2972) Prec@1 69.531 (68.601) Prec@5 90.625 (87.537) Epoch: [89][30/10010] Time 0.319 (0.397) Data 0.001 (0.091) Loss 1.1430 (1.3222) Prec@1 77.344 (68.271) Prec@5 89.062 (87.248) Epoch: [89][40/10010] Time 0.315 (0.377) Data 0.000 (0.069) Loss 1.2242 (1.3107) Prec@1 67.188 (68.559) Prec@5 93.750 (87.481) Epoch: [89][50/10010] Time 0.317 (0.365) Data 0.001 (0.055) Loss 1.2140 (1.3055) Prec@1 65.625 (68.750) Prec@5 89.062 (87.577) Epoch: [89][60/10010] Time 0.334 (0.359) Data 0.001 (0.046) Loss 1.5783 (1.3158) Prec@1 62.500 (68.648) Prec@5 84.375 (87.564) Epoch: [89][70/10010] Time 0.330 (0.356) Data 0.001 (0.040) Loss 1.2433 (1.3330) Prec@1 69.531 (68.431) Prec@5 88.281 (87.456) Epoch: [89][80/10010] Time 0.326 (0.353) Data 0.001 (0.035) Loss 1.0893 (1.3285) Prec@1 71.875 (68.779) Prec@5 89.844 (87.587) Epoch: [89][90/10010] Time 0.336 (0.350) Data 0.001 (0.031) Loss 1.3183 (1.3280) Prec@1 72.656 (68.870) Prec@5 85.156 (87.560) Epoch: [89][100/10010] Time 0.333 (0.348) Data 0.000 (0.028) Loss 1.3369 (1.3358) Prec@1 72.656 (68.796) Prec@5 83.594 (87.392) Epoch: [89][110/10010] Time 0.319 (0.346) Data 0.001 (0.026) Loss 1.1453 (1.3332) Prec@1 73.438 (68.926) Prec@5 91.406 (87.373) Epoch: [89][120/10010] Time 0.320 (0.345) Data 0.001 (0.024) Loss 1.6540 (1.3317) Prec@1 63.281 (69.066) Prec@5 84.375 (87.384) Epoch: [89][130/10010] Time 0.318 (0.343) Data 0.001 (0.022) Loss 1.2762 (1.3341) Prec@1 68.750 (69.036) Prec@5 87.500 (87.297) Epoch: [89][140/10010] Time 0.333 (0.342) Data 0.001 (0.020) Loss 1.2423 (1.3356) Prec@1 72.656 (68.994) Prec@5 86.719 (87.256) Epoch: [89][150/10010] Time 0.317 (0.340) Data 0.000 (0.019) Loss 1.2271 (1.3342) Prec@1 70.312 (69.060) Prec@5 89.844 (87.221) Epoch: [89][160/10010] Time 0.332 (0.340) Data 0.001 (0.018) Loss 1.4980 (1.3407) Prec@1 67.188 (69.007) Prec@5 84.375 (87.136) Epoch: [89][170/10010] Time 0.321 (0.339) Data 0.001 (0.017) Loss 1.5494 (1.3452) Prec@1 64.062 (68.910) Prec@5 82.031 (86.979) Epoch: [89][180/10010] Time 0.330 (0.338) Data 0.001 (0.016) Loss 1.3589 (1.3410) Prec@1 67.969 (68.961) Prec@5 85.156 (87.034) Epoch: [89][190/10010] Time 0.324 (0.338) Data 0.000 (0.015) Loss 1.0633 (1.3409) Prec@1 79.688 (69.049) Prec@5 89.062 (87.042) Epoch: [89][200/10010] Time 0.334 (0.337) Data 0.000 (0.015) Loss 1.3607 (1.3402) Prec@1 70.312 (69.003) Prec@5 89.062 (87.092) Epoch: [89][210/10010] Time 0.319 (0.336) Data 0.000 (0.014) Loss 1.5191 (1.3400) Prec@1 64.844 (69.035) Prec@5 82.812 (87.082) Epoch: [89][220/10010] Time 0.327 (0.336) Data 0.001 (0.013) Loss 1.4149 (1.3408) Prec@1 70.312 (68.976) Prec@5 84.375 (87.079) Epoch: [89][230/10010] Time 0.320 (0.336) Data 0.000 (0.013) Loss 1.1628 (1.3385) Prec@1 67.969 (69.004) Prec@5 91.406 (87.118) Epoch: [89][240/10010] Time 0.334 (0.336) Data 0.001 (0.012) Loss 1.4430 (1.3382) Prec@1 71.875 (69.084) Prec@5 86.719 (87.176) Epoch: [89][250/10010] Time 0.320 (0.335) Data 0.000 (0.012) Loss 1.2992 (1.3375) Prec@1 72.656 (69.095) Prec@5 89.844 (87.170) Epoch: [89][260/10010] Time 0.322 (0.335) Data 0.001 (0.011) Loss 1.4261 (1.3381) Prec@1 68.750 (69.136) Prec@5 87.500 (87.168) Epoch: [89][270/10010] Time 0.320 (0.334) Data 0.000 (0.011) Loss 1.3390 (1.3361) Prec@1 67.188 (69.185) Prec@5 89.844 (87.174) Epoch: [89][280/10010] Time 0.331 (0.334) Data 0.001 (0.011) Loss 1.3526 (1.3371) Prec@1 68.750 (69.136) Prec@5 83.594 (87.133) Epoch: [89][290/10010] Time 0.316 (0.333) Data 0.000 (0.010) Loss 1.3079 (1.3380) Prec@1 67.188 (69.129) Prec@5 86.719 (87.135) Epoch: [89][300/10010] Time 0.317 (0.333) Data 0.001 (0.010) Loss 1.1917 (1.3379) Prec@1 73.438 (69.119) Prec@5 89.062 (87.129) Epoch: [89][310/10010] Time 0.319 (0.333) Data 0.000 (0.010) Loss 1.4018 (1.3417) Prec@1 69.531 (69.054) Prec@5 85.938 (87.065) Epoch: [89][320/10010] Time 0.324 (0.333) Data 0.001 (0.009) Loss 1.6671 (1.3392) Prec@1 60.938 (69.088) Prec@5 80.469 (87.106) Epoch: [89][330/10010] Time 0.320 (0.333) Data 0.001 (0.009) Loss 1.1890 (1.3383) Prec@1 69.531 (69.054) Prec@5 93.750 (87.134) Epoch: [89][340/10010] Time 0.312 (0.332) Data 0.001 (0.009) Loss 1.2813 (1.3376) Prec@1 70.312 (69.052) Prec@5 88.281 (87.127) Epoch: [89][350/10010] Time 0.337 (0.332) Data 0.000 (0.009) Loss 1.4261 (1.3366) Prec@1 67.969 (69.088) Prec@5 81.250 (87.126) Epoch: [89][360/10010] Time 0.332 (0.332) Data 0.001 (0.008) Loss 1.4195 (1.3395) Prec@1 65.625 (69.003) Prec@5 83.594 (87.080) Epoch: [89][370/10010] Time 0.317 (0.332) Data 0.001 (0.008) Loss 1.3460 (1.3408) Prec@1 69.531 (68.948) Prec@5 86.719 (87.056) Epoch: [89][380/10010] Time 0.323 (0.332) Data 0.000 (0.008) Loss 1.3493 (1.3413) Prec@1 68.750 (68.951) Prec@5 86.719 (87.069) Epoch: [89][390/10010] Time 0.322 (0.332) Data 0.000 (0.008) Loss 1.1798 (1.3437) Prec@1 69.531 (68.894) Prec@5 88.281 (87.030) Epoch: [89][400/10010] Time 0.334 (0.331) Data 0.001 (0.008) Loss 1.2247 (1.3418) Prec@1 67.969 (68.919) Prec@5 89.062 (87.067) Epoch: [89][410/10010] Time 0.335 (0.331) Data 0.001 (0.007) Loss 1.1744 (1.3410) Prec@1 77.344 (68.944) Prec@5 86.719 (87.099) Epoch: [89][420/10010] Time 0.311 (0.331) Data 0.000 (0.007) Loss 1.3003 (1.3387) Prec@1 72.656 (69.026) Prec@5 89.062 (87.155) Epoch: [89][430/10010] Time 0.324 (0.331) Data 0.001 (0.007) Loss 1.0613 (1.3361) Prec@1 75.781 (69.084) Prec@5 90.625 (87.195) Epoch: [89][440/10010] Time 0.318 (0.331) Data 0.001 (0.007) Loss 1.4753 (1.3348) Prec@1 69.531 (69.099) Prec@5 82.031 (87.204) Epoch: [89][450/10010] Time 0.334 (0.331) Data 0.001 (0.007) Loss 1.1995 (1.3351) Prec@1 77.344 (69.098) Prec@5 89.062 (87.190) Epoch: [89][460/10010] Time 0.341 (0.331) Data 0.001 (0.007) Loss 1.4847 (1.3344) Prec@1 66.406 (69.104) Prec@5 86.719 (87.185) Epoch: [89][470/10010] Time 0.318 (0.331) Data 0.001 (0.007) Loss 1.2547 (1.3336) Prec@1 71.094 (69.090) Prec@5 90.625 (87.208) Epoch: [89][480/10010] Time 0.313 (0.331) Data 0.000 (0.006) Loss 1.6991 (1.3338) Prec@1 64.062 (69.089) Prec@5 80.469 (87.200) Epoch: [89][490/10010] Time 0.315 (0.330) Data 0.001 (0.006) Loss 1.1684 (1.3327) Prec@1 70.312 (69.105) Prec@5 91.406 (87.196) Epoch: [89][500/10010] Time 0.320 (0.330) Data 0.000 (0.006) Loss 1.4548 (1.3330) Prec@1 64.844 (69.090) Prec@5 85.156 (87.199) Epoch: [89][510/10010] Time 0.335 (0.330) Data 0.000 (0.006) Loss 1.4584 (1.3339) Prec@1 67.969 (69.062) Prec@5 85.156 (87.184) Epoch: [89][520/10010] Time 0.336 (0.330) Data 0.001 (0.006) Loss 1.3951 (1.3329) Prec@1 71.094 (69.095) Prec@5 85.938 (87.190) Epoch: [89][530/10010] Time 0.338 (0.330) Data 0.001 (0.006) Loss 1.1094 (1.3342) Prec@1 75.000 (69.071) Prec@5 89.062 (87.157) Epoch: [89][540/10010] Time 0.310 (0.330) Data 0.001 (0.006) Loss 1.2458 (1.3338) Prec@1 68.750 (69.078) Prec@5 86.719 (87.174) Epoch: [89][550/10010] Time 0.319 (0.330) Data 0.000 (0.006) Loss 1.3327 (1.3346) Prec@1 69.531 (69.080) Prec@5 90.625 (87.154) Epoch: [89][560/10010] Time 0.325 (0.330) Data 0.000 (0.006) Loss 1.2095 (1.3342) Prec@1 75.781 (69.077) Prec@5 89.844 (87.160) Epoch: [89][570/10010] Time 0.318 (0.330) Data 0.001 (0.006) Loss 1.3507 (1.3349) Prec@1 69.531 (69.074) Prec@5 86.719 (87.136) Epoch: [89][580/10010] Time 0.323 (0.330) Data 0.001 (0.005) Loss 1.2572 (1.3346) Prec@1 76.562 (69.100) Prec@5 88.281 (87.128) Epoch: [89][590/10010] Time 0.340 (0.330) Data 0.000 (0.005) Loss 1.3754 (1.3342) Prec@1 71.875 (69.092) Prec@5 85.938 (87.154) Epoch: [89][600/10010] Time 0.336 (0.329) Data 0.001 (0.005) Loss 1.5827 (1.3335) Prec@1 63.281 (69.105) Prec@5 81.250 (87.166) Epoch: [89][610/10010] Time 0.338 (0.330) Data 0.001 (0.005) Loss 1.1478 (1.3332) Prec@1 74.219 (69.105) Prec@5 90.625 (87.179) Epoch: [89][620/10010] Time 0.322 (0.330) Data 0.000 (0.005) Loss 1.2056 (1.3335) Prec@1 70.312 (69.088) Prec@5 87.500 (87.164) Epoch: [89][630/10010] Time 0.340 (0.330) Data 0.001 (0.005) Loss 1.6205 (1.3335) Prec@1 64.844 (69.112) Prec@5 83.594 (87.164) Epoch: [89][640/10010] Time 0.316 (0.329) Data 0.001 (0.005) Loss 1.2567 (1.3338) Prec@1 64.062 (69.088) Prec@5 89.844 (87.166) Epoch: [89][650/10010] Time 0.332 (0.329) Data 0.001 (0.005) Loss 1.4839 (1.3338) Prec@1 67.188 (69.098) Prec@5 85.156 (87.166) Epoch: [89][660/10010] Time 0.325 (0.330) Data 0.000 (0.005) Loss 1.5511 (1.3347) Prec@1 66.406 (69.070) Prec@5 82.812 (87.157) Epoch: [89][670/10010] Time 0.327 (0.329) Data 0.000 (0.005) Loss 1.2368 (1.3336) Prec@1 67.969 (69.092) Prec@5 88.281 (87.172) Epoch: [89][680/10010] Time 0.334 (0.329) Data 0.001 (0.005) Loss 1.2480 (1.3333) Prec@1 70.312 (69.087) Prec@5 89.062 (87.187) Epoch: [89][690/10010] Time 0.307 (0.329) Data 0.001 (0.005) Loss 1.6061 (1.3334) Prec@1 64.062 (69.089) Prec@5 83.594 (87.187) Epoch: [89][700/10010] Time 0.343 (0.329) Data 0.001 (0.005) Loss 1.4747 (1.3339) Prec@1 69.531 (69.081) Prec@5 82.812 (87.190) Epoch: [89][710/10010] Time 0.322 (0.329) Data 0.000 (0.005) Loss 1.2469 (1.3340) Prec@1 70.312 (69.088) Prec@5 88.281 (87.184) Epoch: [89][720/10010] Time 0.333 (0.329) Data 0.001 (0.005) Loss 1.1391 (1.3334) Prec@1 71.875 (69.092) Prec@5 89.844 (87.186) Epoch: [89][730/10010] Time 0.313 (0.329) Data 0.001 (0.004) Loss 1.1856 (1.3332) Prec@1 70.312 (69.093) Prec@5 89.062 (87.173) Epoch: [89][740/10010] Time 0.337 (0.329) Data 0.001 (0.004) Loss 1.2797 (1.3333) Prec@1 67.969 (69.095) Prec@5 89.062 (87.181) Epoch: [89][750/10010] Time 0.321 (0.329) Data 0.000 (0.004) Loss 1.2936 (1.3330) Prec@1 65.625 (69.097) Prec@5 85.938 (87.171) Epoch: [89][760/10010] Time 0.315 (0.329) Data 0.001 (0.004) Loss 1.2217 (1.3326) Prec@1 67.188 (69.092) Prec@5 88.281 (87.173) Epoch: [89][770/10010] Time 0.344 (0.329) Data 0.000 (0.004) Loss 0.9766 (1.3323) Prec@1 78.906 (69.098) Prec@5 92.188 (87.167) Epoch: [89][780/10010] Time 0.339 (0.329) Data 0.001 (0.004) Loss 1.2236 (1.3329) Prec@1 74.219 (69.090) Prec@5 88.281 (87.159) Epoch: [89][790/10010] Time 0.327 (0.329) Data 0.001 (0.004) Loss 1.7446 (1.3331) Prec@1 62.500 (69.087) Prec@5 82.031 (87.151) Epoch: [89][800/10010] Time 0.338 (0.329) Data 0.001 (0.004) Loss 1.6318 (1.3340) Prec@1 59.375 (69.052) Prec@5 85.156 (87.138) Epoch: [89][810/10010] Time 0.310 (0.329) Data 0.001 (0.004) Loss 1.6113 (1.3338) Prec@1 65.625 (69.055) Prec@5 81.250 (87.134) Epoch: [89][820/10010] Time 0.340 (0.329) Data 0.000 (0.004) Loss 1.4237 (1.3333) Prec@1 67.969 (69.074) Prec@5 83.594 (87.137) Epoch: [89][830/10010] Time 0.333 (0.329) Data 0.001 (0.004) Loss 1.3209 (1.3332) Prec@1 62.500 (69.081) Prec@5 88.281 (87.129) Epoch: [89][840/10010] Time 0.338 (0.329) Data 0.001 (0.004) Loss 1.4636 (1.3332) Prec@1 60.938 (69.086) Prec@5 85.156 (87.125) Epoch: [89][850/10010] Time 0.333 (0.329) Data 0.001 (0.004) Loss 1.6026 (1.3329) Prec@1 60.938 (69.096) Prec@5 82.031 (87.131) Epoch: [89][860/10010] Time 0.324 (0.329) Data 0.000 (0.004) Loss 1.6107 (1.3331) Prec@1 63.281 (69.070) Prec@5 81.250 (87.133) Epoch: [89][870/10010] Time 0.337 (0.329) Data 0.000 (0.004) Loss 1.3421 (1.3336) Prec@1 71.875 (69.066) Prec@5 86.719 (87.133) Epoch: [89][880/10010] Time 0.321 (0.329) Data 0.000 (0.004) Loss 1.3455 (1.3342) Prec@1 68.750 (69.044) Prec@5 85.156 (87.132) Epoch: [89][890/10010] Time 0.318 (0.329) Data 0.001 (0.004) Loss 1.4145 (1.3334) Prec@1 65.625 (69.053) Prec@5 85.938 (87.155) Epoch: [89][900/10010] Time 0.327 (0.329) Data 0.001 (0.004) Loss 1.5558 (1.3340) Prec@1 62.500 (69.040) Prec@5 86.719 (87.160) Epoch: [89][910/10010] Time 0.325 (0.329) Data 0.001 (0.004) Loss 1.5802 (1.3341) Prec@1 59.375 (69.039) Prec@5 85.938 (87.166) Epoch: [89][920/10010] Time 0.316 (0.329) Data 0.001 (0.004) Loss 1.1022 (1.3332) Prec@1 76.562 (69.047) Prec@5 90.625 (87.187) Epoch: [89][930/10010] Time 0.332 (0.329) Data 0.001 (0.004) Loss 1.3565 (1.3327) Prec@1 68.750 (69.059) Prec@5 88.281 (87.186) Epoch: [89][940/10010] Time 0.331 (0.329) Data 0.001 (0.004) Loss 1.4129 (1.3314) Prec@1 67.969 (69.085) Prec@5 83.594 (87.208) Epoch: [89][950/10010] Time 0.321 (0.329) Data 0.001 (0.004) Loss 1.1705 (1.3311) Prec@1 71.875 (69.091) Prec@5 90.625 (87.212) Epoch: [89][960/10010] Time 0.335 (0.329) Data 0.001 (0.004) Loss 1.0700 (1.3304) Prec@1 76.562 (69.104) Prec@5 91.406 (87.212) Epoch: [89][970/10010] Time 0.321 (0.329) Data 0.000 (0.004) Loss 1.2566 (1.3298) Prec@1 67.188 (69.118) Prec@5 88.281 (87.226) Epoch: [89][980/10010] Time 0.327 (0.329) Data 0.000 (0.003) Loss 1.4773 (1.3306) Prec@1 67.969 (69.104) Prec@5 83.594 (87.216) Epoch: [89][990/10010] Time 0.324 (0.329) Data 0.001 (0.003) Loss 1.3934 (1.3302) Prec@1 70.312 (69.105) Prec@5 87.500 (87.211) Epoch: [89][1000/10010] Time 0.330 (0.329) Data 0.001 (0.003) Loss 1.4680 (1.3312) Prec@1 64.844 (69.083) Prec@5 83.594 (87.195) Epoch: [89][1010/10010] Time 0.316 (0.329) Data 0.000 (0.003) Loss 1.1724 (1.3307) Prec@1 72.656 (69.102) Prec@5 88.281 (87.205) Epoch: [89][1020/10010] Time 0.332 (0.329) Data 0.001 (0.003) Loss 1.4425 (1.3311) Prec@1 67.188 (69.088) Prec@5 82.031 (87.202) Epoch: [89][1030/10010] Time 0.335 (0.329) Data 0.001 (0.003) Loss 1.0994 (1.3311) Prec@1 74.219 (69.083) Prec@5 90.625 (87.206) Epoch: [89][1040/10010] Time 0.336 (0.329) Data 0.000 (0.003) Loss 1.4495 (1.3306) Prec@1 69.531 (69.108) Prec@5 87.500 (87.223) Epoch: [89][1050/10010] Time 0.341 (0.329) Data 0.001 (0.003) Loss 1.3421 (1.3308) Prec@1 67.188 (69.100) Prec@5 89.062 (87.224) Epoch: [89][1060/10010] Time 0.313 (0.329) Data 0.001 (0.003) Loss 1.5095 (1.3315) Prec@1 63.281 (69.085) Prec@5 87.500 (87.217) Epoch: [89][1070/10010] Time 0.325 (0.329) Data 0.001 (0.003) Loss 1.2842 (1.3314) Prec@1 66.406 (69.075) Prec@5 88.281 (87.216) /data/vision/torralba/deepscene/lib/anaconda2/lib/python2.7/site-packages/PIL/TiffImagePlugin.py:692: UserWarning: Possibly corrupt EXIF data. Expecting to read 1835008 bytes but only got 0. Skipping tag 0 "Skipping tag %s" % (size, len(data), tag)) Epoch: [89][1080/10010] Time 0.323 (0.329) Data 0.001 (0.003) Loss 1.1911 (1.3314) Prec@1 67.969 (69.064) Prec@5 89.844 (87.209) Epoch: [89][1090/10010] Time 0.335 (0.329) Data 0.001 (0.003) Loss 1.1369 (1.3311) Prec@1 73.438 (69.077) Prec@5 89.062 (87.220) Epoch: [89][1100/10010] Time 0.320 (0.329) Data 0.001 (0.003) Loss 1.3874 (1.3320) Prec@1 66.406 (69.061) Prec@5 86.719 (87.213) Epoch: [89][1110/10010] Time 0.338 (0.329) Data 0.001 (0.003) Loss 1.1799 (1.3317) Prec@1 73.438 (69.058) Prec@5 87.500 (87.217) Epoch: [89][1120/10010] Time 0.333 (0.329) Data 0.000 (0.003) Loss 1.4122 (1.3322) Prec@1 70.312 (69.047) Prec@5 85.156 (87.208) Epoch: [89][1130/10010] Time 0.318 (0.329) Data 0.000 (0.003) Loss 1.2802 (1.3318) Prec@1 75.000 (69.055) Prec@5 85.156 (87.206) Epoch: [89][1140/10010] Time 0.316 (0.329) Data 0.001 (0.003) Loss 1.2348 (1.3322) Prec@1 75.000 (69.053) Prec@5 89.062 (87.196) Epoch: [89][1150/10010] Time 0.331 (0.329) Data 0.001 (0.003) Loss 1.2323 (1.3328) Prec@1 72.656 (69.043) Prec@5 85.938 (87.192) Epoch: [89][1160/10010] Time 0.317 (0.329) Data 0.000 (0.003) Loss 1.7301 (1.3335) Prec@1 60.156 (69.029) Prec@5 78.125 (87.182) Epoch: [89][1170/10010] Time 0.336 (0.329) Data 0.001 (0.003) Loss 1.1574 (1.3338) Prec@1 78.906 (69.021) Prec@5 89.062 (87.174) Epoch: [89][1180/10010] Time 0.339 (0.329) Data 0.000 (0.003) Loss 1.6246 (1.3343) Prec@1 63.281 (69.017) Prec@5 82.812 (87.167) Epoch: [89][1190/10010] Time 0.321 (0.329) Data 0.000 (0.003) Loss 1.1679 (1.3346) Prec@1 74.219 (69.018) Prec@5 89.844 (87.170) Epoch: [89][1200/10010] Time 0.317 (0.329) Data 0.001 (0.003) Loss 1.0830 (1.3340) Prec@1 74.219 (69.034) Prec@5 92.188 (87.177) /data/vision/torralba/deepscene/lib/anaconda2/lib/python2.7/site-packages/PIL/TiffImagePlugin.py:692: UserWarning: Possibly corrupt EXIF data. Expecting to read 2555904 bytes but only got 0. Skipping tag 0 "Skipping tag %s" % (size, len(data), tag)) Epoch: [89][1210/10010] Time 0.318 (0.329) Data 0.000 (0.003) Loss 1.1339 (1.3339) Prec@1 71.094 (69.027) Prec@5 89.844 (87.176) Epoch: [89][1220/10010] Time 0.332 (0.329) Data 0.000 (0.003) Loss 1.1134 (1.3338) Prec@1 75.000 (69.024) Prec@5 91.406 (87.186) Epoch: [89][1230/10010] Time 0.313 (0.329) Data 0.001 (0.003) Loss 1.4922 (1.3338) Prec@1 62.500 (69.011) Prec@5 84.375 (87.193) Epoch: [89][1240/10010] Time 0.330 (0.329) Data 0.000 (0.003) Loss 1.1843 (1.3337) Prec@1 76.562 (69.016) Prec@5 88.281 (87.207) Epoch: [89][1250/10010] Time 0.335 (0.329) Data 0.001 (0.003) Loss 1.4008 (1.3338) Prec@1 71.875 (69.025) Prec@5 84.375 (87.203) Epoch: [89][1260/10010] Time 0.323 (0.329) Data 0.001 (0.003) Loss 1.6243 (1.3335) Prec@1 60.938 (69.028) Prec@5 83.594 (87.202) Epoch: [89][1270/10010] Time 0.335 (0.329) Data 0.001 (0.003) Loss 1.2901 (1.3334) Prec@1 69.531 (69.014) Prec@5 85.156 (87.201) Epoch: [89][1280/10010] Time 0.324 (0.329) Data 0.000 (0.003) Loss 1.4477 (1.3337) Prec@1 62.500 (69.001) Prec@5 85.156 (87.196) Epoch: [89][1290/10010] Time 0.318 (0.329) Data 0.001 (0.003) Loss 1.4000 (1.3337) Prec@1 67.188 (69.007) Prec@5 85.156 (87.197) Epoch: [89][1300/10010] Time 0.332 (0.329) Data 0.001 (0.003) Loss 1.3934 (1.3335) Prec@1 69.531 (69.005) Prec@5 84.375 (87.197) Epoch: [89][1310/10010] Time 0.320 (0.329) Data 0.000 (0.003) Loss 1.3692 (1.3333) Prec@1 69.531 (69.009) Prec@5 83.594 (87.194) Epoch: [89][1320/10010] Time 0.332 (0.329) Data 0.001 (0.003) Loss 1.3553 (1.3335) Prec@1 67.969 (69.010) Prec@5 85.938 (87.200) Epoch: [89][1330/10010] Time 0.322 (0.329) Data 0.001 (0.003) Loss 1.1012 (1.3339) Prec@1 75.000 (68.996) Prec@5 86.719 (87.197) Epoch: [89][1340/10010] Time 0.316 (0.329) Data 0.001 (0.003) Loss 1.3334 (1.3343) Prec@1 69.531 (68.985) Prec@5 85.156 (87.196) Epoch: [89][1350/10010] Time 0.319 (0.329) Data 0.001 (0.003) Loss 1.4294 (1.3343) Prec@1 67.969 (68.976) Prec@5 84.375 (87.200) Epoch: [89][1360/10010] Time 0.323 (0.329) Data 0.000 (0.003) Loss 1.2073 (1.3340) Prec@1 68.750 (68.987) Prec@5 89.062 (87.199) Epoch: [89][1370/10010] Time 0.325 (0.329) Data 0.000 (0.003) Loss 1.4524 (1.3339) Prec@1 65.625 (68.989) Prec@5 87.500 (87.208) Epoch: [89][1380/10010] Time 0.323 (0.329) Data 0.001 (0.003) Loss 1.2377 (1.3338) Prec@1 70.312 (68.996) Prec@5 87.500 (87.204) Epoch: [89][1390/10010] Time 0.339 (0.329) Data 0.000 (0.003) Loss 1.2022 (1.3336) Prec@1 72.656 (68.994) Prec@5 90.625 (87.212) Epoch: [89][1400/10010] Time 0.333 (0.329) Data 0.001 (0.003) Loss 1.4495 (1.3337) Prec@1 68.750 (69.000) Prec@5 85.156 (87.204) Epoch: [89][1410/10010] Time 0.327 (0.329) Data 0.000 (0.003) Loss 1.3943 (1.3336) Prec@1 68.750 (69.008) Prec@5 83.594 (87.209) Epoch: [89][1420/10010] Time 0.341 (0.329) Data 0.001 (0.003) Loss 1.1910 (1.3329) Prec@1 71.875 (69.030) Prec@5 90.625 (87.223) Epoch: [89][1430/10010] Time 0.342 (0.329) Data 0.000 (0.003) Loss 1.1138 (1.3326) Prec@1 75.000 (69.035) Prec@5 88.281 (87.228) Epoch: [89][1440/10010] Time 0.330 (0.329) Data 0.001 (0.003) Loss 1.0213 (1.3329) Prec@1 72.656 (69.022) Prec@5 92.969 (87.228) Epoch: [89][1450/10010] Time 0.326 (0.329) Data 0.001 (0.003) Loss 1.4493 (1.3333) Prec@1 66.406 (69.013) Prec@5 87.500 (87.228) Epoch: [89][1460/10010] Time 0.336 (0.329) Data 0.001 (0.003) Loss 1.3879 (1.3338) Prec@1 65.625 (69.005) Prec@5 89.844 (87.221) Epoch: [89][1470/10010] Time 0.332 (0.329) Data 0.001 (0.003) Loss 1.5044 (1.3339) Prec@1 65.625 (69.002) Prec@5 85.938 (87.221) Epoch: [89][1480/10010] Time 0.312 (0.329) Data 0.001 (0.003) Loss 1.2421 (1.3341) Prec@1 72.656 (69.000) Prec@5 85.938 (87.214) Epoch: [89][1490/10010] Time 0.310 (0.329) Data 0.001 (0.003) Loss 1.4620 (1.3342) Prec@1 67.969 (69.002) Prec@5 85.938 (87.213) Epoch: [89][1500/10010] Time 0.339 (0.329) Data 0.000 (0.002) Loss 1.4745 (1.3343) Prec@1 67.969 (68.990) Prec@5 83.594 (87.206) Epoch: [89][1510/10010] Time 0.322 (0.329) Data 0.001 (0.002) Loss 1.2745 (1.3341) Prec@1 68.750 (68.994) Prec@5 86.719 (87.209) Epoch: [89][1520/10010] Time 0.338 (0.329) Data 0.001 (0.002) Loss 1.2226 (1.3342) Prec@1 73.438 (68.994) Prec@5 87.500 (87.208) Epoch: [89][1530/10010] Time 0.320 (0.329) Data 0.000 (0.002) Loss 1.4839 (1.3342) Prec@1 63.281 (68.996) Prec@5 85.938 (87.203) Epoch: [89][1540/10010] Time 0.331 (0.329) Data 0.001 (0.002) Loss 1.1994 (1.3341) Prec@1 71.875 (69.003) Prec@5 85.156 (87.201) Epoch: [89][1550/10010] Time 0.339 (0.329) Data 0.000 (0.002) Loss 1.1989 (1.3338) Prec@1 69.531 (69.011) Prec@5 88.281 (87.202) Epoch: [89][1560/10010] Time 0.318 (0.329) Data 0.001 (0.002) Loss 1.2902 (1.3339) Prec@1 70.312 (69.014) Prec@5 85.938 (87.202) Epoch: [89][1570/10010] Time 0.322 (0.329) Data 0.001 (0.002) Loss 1.2953 (1.3336) Prec@1 68.750 (69.020) Prec@5 89.844 (87.213) Epoch: [89][1580/10010] Time 0.312 (0.329) Data 0.001 (0.002) Loss 1.2758 (1.3337) Prec@1 72.656 (69.021) Prec@5 90.625 (87.209) Epoch: [89][1590/10010] Time 0.330 (0.329) Data 0.001 (0.002) Loss 1.3766 (1.3333) Prec@1 70.312 (69.034) Prec@5 87.500 (87.213) Epoch: [89][1600/10010] Time 0.332 (0.329) Data 0.001 (0.002) Loss 1.3272 (1.3337) Prec@1 73.438 (69.031) Prec@5 83.594 (87.203) Epoch: [89][1610/10010] Time 0.314 (0.329) Data 0.001 (0.002) Loss 1.1062 (1.3335) Prec@1 72.656 (69.040) Prec@5 90.625 (87.203) Epoch: [89][1620/10010] Time 0.339 (0.329) Data 0.001 (0.002) Loss 1.1725 (1.3335) Prec@1 70.312 (69.040) Prec@5 89.844 (87.204) Epoch: [89][1630/10010] Time 0.327 (0.329) Data 0.001 (0.002) Loss 1.2990 (1.3336) Prec@1 72.656 (69.035) Prec@5 85.938 (87.199) Epoch: [89][1640/10010] Time 0.341 (0.329) Data 0.001 (0.002) Loss 1.4460 (1.3342) Prec@1 65.625 (69.024) Prec@5 82.812 (87.182) Epoch: [89][1650/10010] Time 0.319 (0.329) Data 0.001 (0.002) Loss 1.1734 (1.3342) Prec@1 72.656 (69.029) Prec@5 89.844 (87.183) Epoch: [89][1660/10010] Time 0.322 (0.329) Data 0.000 (0.002) Loss 1.3977 (1.3348) Prec@1 64.062 (69.020) Prec@5 84.375 (87.171) Epoch: [89][1670/10010] Time 0.334 (0.329) Data 0.001 (0.002) Loss 1.4782 (1.3344) Prec@1 65.625 (69.019) Prec@5 86.719 (87.180) Epoch: [89][1680/10010] Time 0.324 (0.329) Data 0.000 (0.002) Loss 1.5947 (1.3346) Prec@1 64.844 (69.008) Prec@5 86.719 (87.184) Epoch: [89][1690/10010] Time 0.340 (0.329) Data 0.001 (0.002) Loss 1.4561 (1.3344) Prec@1 71.094 (69.013) Prec@5 87.500 (87.189) Epoch: [89][1700/10010] Time 0.337 (0.329) Data 0.001 (0.002) Loss 1.4820 (1.3346) Prec@1 66.406 (69.011) Prec@5 85.938 (87.187) Epoch: [89][1710/10010] Time 0.317 (0.329) Data 0.001 (0.002) Loss 1.4566 (1.3340) Prec@1 67.188 (69.022) Prec@5 83.594 (87.192) Epoch: [89][1720/10010] Time 0.336 (0.329) Data 0.001 (0.002) Loss 1.3743 (1.3342) Prec@1 63.281 (69.011) Prec@5 85.938 (87.197) Epoch: [89][1730/10010] Time 0.325 (0.329) Data 0.000 (0.002) Loss 1.1500 (1.3342) Prec@1 73.438 (69.012) Prec@5 89.062 (87.192) Epoch: [89][1740/10010] Time 0.339 (0.328) Data 0.001 (0.002) Loss 1.3480 (1.3345) Prec@1 67.188 (69.004) Prec@5 87.500 (87.192) Epoch: [89][1750/10010] Time 0.325 (0.328) Data 0.001 (0.002) Loss 1.3349 (1.3343) Prec@1 66.406 (68.998) Prec@5 86.719 (87.195) Epoch: [89][1760/10010] Time 0.338 (0.328) Data 0.001 (0.002) Loss 0.9732 (1.3349) Prec@1 69.531 (68.982) Prec@5 93.750 (87.191) Epoch: [89][1770/10010] Time 0.334 (0.329) Data 0.001 (0.002) Loss 1.5182 (1.3350) Prec@1 72.656 (68.979) Prec@5 84.375 (87.188) Epoch: [89][1780/10010] Time 0.319 (0.328) Data 0.001 (0.002) Loss 1.4310 (1.3348) Prec@1 67.188 (68.983) Prec@5 87.500 (87.193) Epoch: [89][1790/10010] Time 0.336 (0.328) Data 0.001 (0.002) Loss 1.4875 (1.3351) Prec@1 67.969 (68.981) Prec@5 86.719 (87.192) Epoch: [89][1800/10010] Time 0.331 (0.328) Data 0.001 (0.002) Loss 1.3288 (1.3349) Prec@1 66.406 (68.986) Prec@5 86.719 (87.198) Epoch: [89][1810/10010] Time 0.322 (0.328) Data 0.000 (0.002) Loss 1.1961 (1.3347) Prec@1 70.312 (68.982) Prec@5 92.969 (87.202) Epoch: [89][1820/10010] Time 0.330 (0.328) Data 0.000 (0.002) Loss 1.2762 (1.3348) Prec@1 64.844 (68.980) Prec@5 90.625 (87.197) Epoch: [89][1830/10010] Time 0.315 (0.328) Data 0.000 (0.002) Loss 1.3098 (1.3349) Prec@1 71.094 (68.981) Prec@5 87.500 (87.199) Epoch: [89][1840/10010] Time 0.317 (0.328) Data 0.000 (0.002) Loss 1.3058 (1.3350) Prec@1 71.875 (68.983) Prec@5 88.281 (87.200) Epoch: [89][1850/10010] Time 0.338 (0.328) Data 0.001 (0.002) Loss 1.6712 (1.3353) Prec@1 59.375 (68.974) Prec@5 83.594 (87.192) Epoch: [89][1860/10010] Time 0.327 (0.328) Data 0.000 (0.002) Loss 1.2863 (1.3356) Prec@1 72.656 (68.968) Prec@5 87.500 (87.191) Epoch: [89][1870/10010] Time 0.320 (0.328) Data 0.000 (0.002) Loss 1.4678 (1.3358) Prec@1 63.281 (68.957) Prec@5 84.375 (87.183) Epoch: [89][1880/10010] Time 0.336 (0.328) Data 0.001 (0.002) Loss 1.3973 (1.3357) Prec@1 67.969 (68.957) Prec@5 85.938 (87.182) Epoch: [89][1890/10010] Time 0.343 (0.328) Data 0.001 (0.002) Loss 1.2085 (1.3353) Prec@1 72.656 (68.959) Prec@5 90.625 (87.192) Epoch: [89][1900/10010] Time 0.338 (0.328) Data 0.000 (0.002) Loss 1.0791 (1.3348) Prec@1 74.219 (68.974) Prec@5 89.844 (87.202) Epoch: [89][1910/10010] Time 0.338 (0.328) Data 0.001 (0.002) Loss 1.3801 (1.3346) Prec@1 67.969 (68.985) Prec@5 86.719 (87.203) Epoch: [89][1920/10010] Time 0.331 (0.328) Data 0.000 (0.002) Loss 1.1436 (1.3346) Prec@1 70.312 (68.987) Prec@5 85.938 (87.207) Epoch: [89][1930/10010] Time 0.314 (0.328) Data 0.001 (0.002) Loss 1.4152 (1.3348) Prec@1 65.625 (68.976) Prec@5 87.500 (87.207) Epoch: [89][1940/10010] Time 0.334 (0.328) Data 0.001 (0.002) Loss 1.1005 (1.3348) Prec@1 72.656 (68.978) Prec@5 89.844 (87.207) Epoch: [89][1950/10010] Time 0.328 (0.328) Data 0.001 (0.002) Loss 1.5557 (1.3344) Prec@1 61.719 (68.977) Prec@5 82.031 (87.213) Epoch: [89][1960/10010] Time 0.334 (0.328) Data 0.000 (0.002) Loss 1.3889 (1.3346) Prec@1 67.188 (68.971) Prec@5 85.938 (87.212) Epoch: [89][1970/10010] Time 0.339 (0.328) Data 0.001 (0.002) Loss 1.3851 (1.3347) Prec@1 67.188 (68.968) Prec@5 85.156 (87.208) Epoch: [89][1980/10010] Time 0.325 (0.328) Data 0.001 (0.002) Loss 1.2743 (1.3345) Prec@1 72.656 (68.969) Prec@5 88.281 (87.211) Epoch: [89][1990/10010] Time 0.316 (0.328) Data 0.001 (0.002) Loss 1.5946 (1.3346) Prec@1 67.969 (68.969) Prec@5 86.719 (87.208) Epoch: [89][2000/10010] Time 0.317 (0.328) Data 0.001 (0.002) Loss 1.2796 (1.3348) Prec@1 66.406 (68.965) Prec@5 90.625 (87.201) Epoch: [89][2010/10010] Time 0.337 (0.328) Data 0.000 (0.002) Loss 1.2505 (1.3346) Prec@1 69.531 (68.965) Prec@5 88.281 (87.202) Epoch: [89][2020/10010] Time 0.312 (0.328) Data 0.001 (0.002) Loss 1.6065 (1.3350) Prec@1 66.406 (68.969) Prec@5 83.594 (87.193) Epoch: [89][2030/10010] Time 0.339 (0.328) Data 0.000 (0.002) Loss 1.3576 (1.3347) Prec@1 68.750 (68.977) Prec@5 85.156 (87.196) Epoch: [89][2040/10010] Time 0.318 (0.328) Data 0.001 (0.002) Loss 1.2357 (1.3350) Prec@1 67.188 (68.970) Prec@5 89.844 (87.194) Epoch: [89][2050/10010] Time 0.342 (0.328) Data 0.001 (0.002) Loss 1.4230 (1.3351) Prec@1 63.281 (68.967) Prec@5 83.594 (87.193) Epoch: [89][2060/10010] Time 0.317 (0.328) Data 0.001 (0.002) Loss 1.2153 (1.3351) Prec@1 73.438 (68.971) Prec@5 88.281 (87.186) Epoch: [89][2070/10010] Time 0.333 (0.328) Data 0.001 (0.002) Loss 0.9112 (1.3347) Prec@1 74.219 (68.979) Prec@5 92.188 (87.196) Epoch: [89][2080/10010] Time 0.316 (0.328) Data 0.001 (0.002) Loss 1.1576 (1.3347) Prec@1 72.656 (68.975) Prec@5 88.281 (87.199) Epoch: [89][2090/10010] Time 0.337 (0.328) Data 0.001 (0.002) Loss 1.7225 (1.3349) Prec@1 60.938 (68.961) Prec@5 83.594 (87.198) /data/vision/torralba/deepscene/lib/anaconda2/lib/python2.7/site-packages/PIL/TiffImagePlugin.py:692: UserWarning: Possibly corrupt EXIF data. Expecting to read 19660800 bytes but only got 0. Skipping tag 0 "Skipping tag %s" % (size, len(data), tag)) /data/vision/torralba/deepscene/lib/anaconda2/lib/python2.7/site-packages/PIL/TiffImagePlugin.py:692: UserWarning: Possibly corrupt EXIF data. Expecting to read 18481152 bytes but only got 0. Skipping tag 0 "Skipping tag %s" % (size, len(data), tag)) /data/vision/torralba/deepscene/lib/anaconda2/lib/python2.7/site-packages/PIL/TiffImagePlugin.py:692: UserWarning: Possibly corrupt EXIF data. Expecting to read 37093376 bytes but only got 0. Skipping tag 0 "Skipping tag %s" % (size, len(data), tag)) /data/vision/torralba/deepscene/lib/anaconda2/lib/python2.7/site-packages/PIL/TiffImagePlugin.py:692: UserWarning: Possibly corrupt EXIF data. Expecting to read 39976960 bytes but only got 0. Skipping tag 0 "Skipping tag %s" % (size, len(data), tag)) /data/vision/torralba/deepscene/lib/anaconda2/lib/python2.7/site-packages/PIL/TiffImagePlugin.py:692: UserWarning: Possibly corrupt EXIF data. Expecting to read 34865152 bytes but only got 0. Skipping tag 0 "Skipping tag %s" % (size, len(data), tag)) /data/vision/torralba/deepscene/lib/anaconda2/lib/python2.7/site-packages/PIL/TiffImagePlugin.py:709: UserWarning: Corrupt EXIF data. Expecting to read 12 bytes but only got 10. warnings.warn(str(msg)) Epoch: [89][2100/10010] Time 0.332 (0.328) Data 0.001 (0.002) Loss 1.3652 (1.3348) Prec@1 71.094 (68.972) Prec@5 83.594 (87.194) Epoch: [89][2110/10010] Time 0.322 (0.328) Data 0.000 (0.002) Loss 1.5686 (1.3348) Prec@1 65.625 (68.963) Prec@5 85.156 (87.192) Epoch: [89][2120/10010] Time 0.319 (0.328) Data 0.001 (0.002) Loss 1.4622 (1.3346) Prec@1 70.312 (68.980) Prec@5 84.375 (87.195) Epoch: [89][2130/10010] Time 0.337 (0.328) Data 0.000 (0.002) Loss 1.1922 (1.3350) Prec@1 76.562 (68.981) Prec@5 87.500 (87.188) Epoch: [89][2140/10010] Time 0.334 (0.328) Data 0.000 (0.002) Loss 1.2954 (1.3349) Prec@1 65.625 (68.978) Prec@5 87.500 (87.191) Epoch: [89][2150/10010] Time 0.330 (0.328) Data 0.000 (0.002) Loss 1.3950 (1.3348) Prec@1 66.406 (68.983) Prec@5 87.500 (87.197) Epoch: [89][2160/10010] Time 0.309 (0.328) Data 0.001 (0.002) Loss 0.9785 (1.3348) Prec@1 75.000 (68.982) Prec@5 91.406 (87.196) Epoch: [89][2170/10010] Time 0.320 (0.328) Data 0.001 (0.002) Loss 1.2206 (1.3350) Prec@1 71.094 (68.980) Prec@5 89.062 (87.195) Epoch: [89][2180/10010] Time 0.341 (0.328) Data 0.000 (0.002) Loss 1.2578 (1.3349) Prec@1 70.312 (68.976) Prec@5 87.500 (87.199) Epoch: [89][2190/10010] Time 0.319 (0.328) Data 0.000 (0.002) Loss 1.3531 (1.3349) Prec@1 67.188 (68.974) Prec@5 86.719 (87.198) Epoch: [89][2200/10010] Time 0.321 (0.328) Data 0.001 (0.002) Loss 1.4272 (1.3349) Prec@1 70.312 (68.972) Prec@5 88.281 (87.196) Epoch: [89][2210/10010] Time 0.338 (0.328) Data 0.001 (0.002) Loss 1.3794 (1.3347) Prec@1 69.531 (68.974) Prec@5 87.500 (87.201) Epoch: [89][2220/10010] Time 0.327 (0.328) Data 0.001 (0.002) Loss 1.3104 (1.3348) Prec@1 67.969 (68.966) Prec@5 87.500 (87.199) Epoch: [89][2230/10010] Time 0.316 (0.328) Data 0.001 (0.002) Loss 1.2156 (1.3349) Prec@1 69.531 (68.962) Prec@5 89.844 (87.201) Epoch: [89][2240/10010] Time 0.327 (0.328) Data 0.000 (0.002) Loss 1.1874 (1.3347) Prec@1 71.875 (68.960) Prec@5 88.281 (87.203) Epoch: [89][2250/10010] Time 0.337 (0.328) Data 0.000 (0.002) Loss 1.1754 (1.3350) Prec@1 70.312 (68.955) Prec@5 87.500 (87.195) Epoch: [89][2260/10010] Time 0.342 (0.328) Data 0.000 (0.002) Loss 1.4708 (1.3350) Prec@1 64.844 (68.953) Prec@5 82.812 (87.193) Epoch: [89][2270/10010] Time 0.322 (0.328) Data 0.001 (0.002) Loss 1.7355 (1.3350) Prec@1 59.375 (68.953) Prec@5 82.812 (87.200) Epoch: [89][2280/10010] Time 0.330 (0.328) Data 0.001 (0.002) Loss 1.2522 (1.3351) Prec@1 67.969 (68.951) Prec@5 89.062 (87.197) Epoch: [89][2290/10010] Time 0.325 (0.328) Data 0.001 (0.002) Loss 1.6286 (1.3351) Prec@1 62.500 (68.946) Prec@5 81.250 (87.195) Epoch: [89][2300/10010] Time 0.319 (0.328) Data 0.001 (0.002) Loss 1.2123 (1.3350) Prec@1 69.531 (68.940) Prec@5 89.062 (87.199) Epoch: [89][2310/10010] Time 0.337 (0.328) Data 0.001 (0.002) Loss 1.4461 (1.3353) Prec@1 63.281 (68.925) Prec@5 85.156 (87.199) Epoch: [89][2320/10010] Time 0.324 (0.328) Data 0.000 (0.002) Loss 1.7061 (1.3352) Prec@1 61.719 (68.929) Prec@5 78.906 (87.201) Epoch: [89][2330/10010] Time 0.338 (0.328) Data 0.001 (0.002) Loss 1.4017 (1.3353) Prec@1 70.312 (68.923) Prec@5 84.375 (87.198) Epoch: [89][2340/10010] Time 0.339 (0.328) Data 0.000 (0.002) Loss 1.3046 (1.3352) Prec@1 70.312 (68.931) Prec@5 85.938 (87.198) Epoch: [89][2350/10010] Time 0.340 (0.328) Data 0.000 (0.002) Loss 1.2718 (1.3353) Prec@1 67.969 (68.925) Prec@5 88.281 (87.195) Epoch: [89][2360/10010] Time 0.338 (0.328) Data 0.001 (0.002) Loss 1.5475 (1.3356) Prec@1 61.719 (68.921) Prec@5 84.375 (87.190) Epoch: [89][2370/10010] Time 0.340 (0.328) Data 0.000 (0.002) Loss 1.2175 (1.3352) Prec@1 67.969 (68.926) Prec@5 87.500 (87.197) Epoch: [89][2380/10010] Time 0.319 (0.328) Data 0.000 (0.002) Loss 1.4159 (1.3353) Prec@1 62.500 (68.921) Prec@5 87.500 (87.197) Epoch: [89][2390/10010] Time 0.332 (0.328) Data 0.001 (0.002) Loss 1.3227 (1.3356) Prec@1 67.969 (68.918) Prec@5 85.156 (87.188) Epoch: [89][2400/10010] Time 0.326 (0.328) Data 0.001 (0.002) Loss 1.2012 (1.3350) Prec@1 75.000 (68.931) Prec@5 89.062 (87.196) Epoch: [89][2410/10010] Time 0.323 (0.328) Data 0.001 (0.002) Loss 1.0075 (1.3346) Prec@1 75.781 (68.941) Prec@5 93.750 (87.202) Epoch: [89][2420/10010] Time 0.335 (0.328) Data 0.000 (0.002) Loss 1.1507 (1.3343) Prec@1 75.000 (68.953) Prec@5 86.719 (87.204) Epoch: [89][2430/10010] Time 0.327 (0.328) Data 0.001 (0.002) Loss 1.1735 (1.3342) Prec@1 73.438 (68.957) Prec@5 89.062 (87.202) Epoch: [89][2440/10010] Time 0.320 (0.328) Data 0.001 (0.002) Loss 1.2351 (1.3345) Prec@1 72.656 (68.947) Prec@5 87.500 (87.198) Epoch: [89][2450/10010] Time 0.322 (0.328) Data 0.001 (0.002) Loss 1.4545 (1.3341) Prec@1 64.844 (68.955) Prec@5 82.812 (87.202) Epoch: [89][2460/10010] Time 0.327 (0.328) Data 0.000 (0.002) Loss 1.1203 (1.3341) Prec@1 75.000 (68.962) Prec@5 89.844 (87.203) Epoch: [89][2470/10010] Time 0.321 (0.328) Data 0.000 (0.002) Loss 0.9381 (1.3339) Prec@1 80.469 (68.963) Prec@5 91.406 (87.211) Epoch: [89][2480/10010] Time 0.319 (0.328) Data 0.001 (0.002) Loss 1.1790 (1.3338) Prec@1 73.438 (68.963) Prec@5 89.844 (87.217) Epoch: [89][2490/10010] Time 0.316 (0.328) Data 0.000 (0.002) Loss 1.3389 (1.3335) Prec@1 71.875 (68.965) Prec@5 82.812 (87.219) Epoch: [89][2500/10010] Time 0.334 (0.328) Data 0.000 (0.002) Loss 1.1517 (1.3335) Prec@1 75.781 (68.963) Prec@5 90.625 (87.221) Epoch: [89][2510/10010] Time 0.321 (0.328) Data 0.000 (0.002) Loss 1.3404 (1.3334) Prec@1 69.531 (68.960) Prec@5 86.719 (87.224) Epoch: [89][2520/10010] Time 0.338 (0.328) Data 0.001 (0.002) Loss 1.3379 (1.3333) Prec@1 73.438 (68.962) Prec@5 88.281 (87.227) Epoch: [89][2530/10010] Time 0.320 (0.328) Data 0.000 (0.002) Loss 1.3644 (1.3334) Prec@1 68.750 (68.961) Prec@5 85.938 (87.227) Epoch: [89][2540/10010] Time 0.318 (0.328) Data 0.001 (0.002) Loss 1.5254 (1.3337) Prec@1 61.719 (68.952) Prec@5 85.156 (87.226) Epoch: [89][2550/10010] Time 0.321 (0.328) Data 0.001 (0.002) Loss 1.5213 (1.3338) Prec@1 69.531 (68.946) Prec@5 82.031 (87.225) Epoch: [89][2560/10010] Time 0.330 (0.328) Data 0.001 (0.002) Loss 1.5046 (1.3336) Prec@1 66.406 (68.948) Prec@5 82.812 (87.226) Epoch: [89][2570/10010] Time 0.335 (0.328) Data 0.000 (0.002) Loss 1.2041 (1.3333) Prec@1 68.750 (68.949) Prec@5 86.719 (87.228) Epoch: [89][2580/10010] Time 0.325 (0.328) Data 0.000 (0.002) Loss 1.2273 (1.3335) Prec@1 67.969 (68.946) Prec@5 89.062 (87.226) Epoch: [89][2590/10010] Time 0.337 (0.328) Data 0.000 (0.002) Loss 1.4098 (1.3333) Prec@1 66.406 (68.947) Prec@5 88.281 (87.228) Epoch: [89][2600/10010] Time 0.335 (0.328) Data 0.001 (0.002) Loss 1.1283 (1.3332) Prec@1 71.875 (68.945) Prec@5 92.188 (87.230) Epoch: [89][2610/10010] Time 0.332 (0.328) Data 0.001 (0.002) Loss 1.1805 (1.3329) Prec@1 70.312 (68.950) Prec@5 88.281 (87.234) Epoch: [89][2620/10010] Time 0.338 (0.328) Data 0.000 (0.002) Loss 1.1357 (1.3331) Prec@1 71.875 (68.946) Prec@5 89.844 (87.234) Epoch: [89][2630/10010] Time 0.339 (0.328) Data 0.001 (0.002) Loss 1.3937 (1.3332) Prec@1 69.531 (68.949) Prec@5 85.938 (87.231) Epoch: [89][2640/10010] Time 0.320 (0.328) Data 0.001 (0.002) Loss 1.2681 (1.3333) Prec@1 70.312 (68.943) Prec@5 86.719 (87.229) Epoch: [89][2650/10010] Time 0.339 (0.328) Data 0.000 (0.002) Loss 1.1828 (1.3330) Prec@1 67.188 (68.947) Prec@5 86.719 (87.234) Epoch: [89][2660/10010] Time 0.341 (0.328) Data 0.000 (0.002) Loss 1.2956 (1.3329) Prec@1 71.094 (68.952) Prec@5 85.156 (87.238) Epoch: [89][2670/10010] Time 0.334 (0.328) Data 0.001 (0.002) Loss 1.4396 (1.3333) Prec@1 68.750 (68.945) Prec@5 85.156 (87.230) Epoch: [89][2680/10010] Time 0.337 (0.328) Data 0.001 (0.002) Loss 1.3565 (1.3332) Prec@1 64.844 (68.941) Prec@5 85.938 (87.228) Epoch: [89][2690/10010] Time 0.333 (0.328) Data 0.001 (0.002) Loss 1.3631 (1.3331) Prec@1 65.625 (68.942) Prec@5 85.938 (87.229) Epoch: [89][2700/10010] Time 0.329 (0.328) Data 0.001 (0.002) Loss 1.0738 (1.3332) Prec@1 67.969 (68.941) Prec@5 92.188 (87.231) Epoch: [89][2710/10010] Time 0.325 (0.328) Data 0.000 (0.002) Loss 1.2766 (1.3334) Prec@1 64.062 (68.936) Prec@5 89.062 (87.231) Epoch: [89][2720/10010] Time 0.340 (0.328) Data 0.001 (0.002) Loss 1.5339 (1.3334) Prec@1 61.719 (68.936) Prec@5 86.719 (87.231) Epoch: [89][2730/10010] Time 0.335 (0.328) Data 0.001 (0.002) Loss 1.2007 (1.3333) Prec@1 67.188 (68.935) Prec@5 87.500 (87.231) Epoch: [89][2740/10010] Time 0.314 (0.328) Data 0.001 (0.002) Loss 1.1735 (1.3333) Prec@1 71.094 (68.937) Prec@5 90.625 (87.229) Epoch: [89][2750/10010] Time 0.331 (0.328) Data 0.001 (0.002) Loss 1.2569 (1.3331) Prec@1 72.656 (68.940) Prec@5 87.500 (87.236) Epoch: [89][2760/10010] Time 0.324 (0.328) Data 0.001 (0.002) Loss 1.2269 (1.3330) Prec@1 73.438 (68.938) Prec@5 89.062 (87.239) Epoch: [89][2770/10010] Time 0.328 (0.328) Data 0.001 (0.002) Loss 1.4817 (1.3333) Prec@1 64.844 (68.934) Prec@5 86.719 (87.234) Epoch: [89][2780/10010] Time 0.322 (0.328) Data 0.001 (0.002) Loss 1.2129 (1.3331) Prec@1 71.094 (68.937) Prec@5 89.844 (87.235) Epoch: [89][2790/10010] Time 0.334 (0.328) Data 0.000 (0.002) Loss 1.2264 (1.3329) Prec@1 73.438 (68.944) Prec@5 89.062 (87.237) Epoch: [89][2800/10010] Time 0.339 (0.328) Data 0.000 (0.002) Loss 1.3647 (1.3330) Prec@1 69.531 (68.942) Prec@5 86.719 (87.233) Epoch: [89][2810/10010] Time 0.319 (0.328) Data 0.000 (0.002) Loss 1.5579 (1.3328) Prec@1 64.062 (68.945) Prec@5 80.469 (87.237) Epoch: [89][2820/10010] Time 0.341 (0.328) Data 0.001 (0.002) Loss 1.2192 (1.3327) Prec@1 69.531 (68.948) Prec@5 89.062 (87.241) Epoch: [89][2830/10010] Time 0.335 (0.328) Data 0.001 (0.002) Loss 0.9057 (1.3330) Prec@1 79.688 (68.942) Prec@5 91.406 (87.237) Epoch: [89][2840/10010] Time 0.338 (0.328) Data 0.001 (0.002) Loss 1.1651 (1.3331) Prec@1 75.000 (68.943) Prec@5 90.625 (87.236) Epoch: [89][2850/10010] Time 0.324 (0.328) Data 0.001 (0.002) Loss 1.2826 (1.3334) Prec@1 70.312 (68.939) Prec@5 89.062 (87.231) Epoch: [89][2860/10010] Time 0.321 (0.328) Data 0.000 (0.002) Loss 1.5533 (1.3335) Prec@1 65.625 (68.938) Prec@5 82.812 (87.229) Epoch: [89][2870/10010] Time 0.338 (0.328) Data 0.001 (0.002) Loss 1.3778 (1.3335) Prec@1 67.188 (68.936) Prec@5 85.156 (87.228) Epoch: [89][2880/10010] Time 0.317 (0.328) Data 0.001 (0.002) Loss 1.4283 (1.3334) Prec@1 71.875 (68.940) Prec@5 85.938 (87.231) Epoch: [89][2890/10010] Time 0.337 (0.328) Data 0.001 (0.002) Loss 1.6069 (1.3335) Prec@1 64.062 (68.935) Prec@5 88.281 (87.236) Epoch: [89][2900/10010] Time 0.333 (0.328) Data 0.000 (0.002) Loss 1.3319 (1.3334) Prec@1 67.188 (68.936) Prec@5 85.938 (87.234) Epoch: [89][2910/10010] Time 0.337 (0.328) Data 0.000 (0.002) Loss 1.3579 (1.3333) Prec@1 67.969 (68.937) Prec@5 85.938 (87.236) Epoch: [89][2920/10010] Time 0.334 (0.328) Data 0.000 (0.002) Loss 1.5142 (1.3337) Prec@1 65.625 (68.928) Prec@5 84.375 (87.229) Epoch: [89][2930/10010] Time 0.337 (0.328) Data 0.000 (0.002) Loss 1.3342 (1.3337) Prec@1 68.750 (68.928) Prec@5 85.938 (87.228) Epoch: [89][2940/10010] Time 0.325 (0.328) Data 0.001 (0.002) Loss 1.0872 (1.3336) Prec@1 72.656 (68.927) Prec@5 93.750 (87.230) Epoch: [89][2950/10010] Time 0.342 (0.328) Data 0.000 (0.002) Loss 1.1106 (1.3336) Prec@1 75.781 (68.928) Prec@5 86.719 (87.231) Epoch: [89][2960/10010] Time 0.336 (0.328) Data 0.001 (0.002) Loss 1.4879 (1.3336) Prec@1 64.844 (68.926) Prec@5 82.031 (87.234) Epoch: [89][2970/10010] Time 0.326 (0.328) Data 0.000 (0.002) Loss 1.5860 (1.3336) Prec@1 65.625 (68.926) Prec@5 80.469 (87.232) Epoch: [89][2980/10010] Time 0.338 (0.328) Data 0.001 (0.002) Loss 1.6221 (1.3337) Prec@1 57.812 (68.926) Prec@5 84.375 (87.232) Epoch: [89][2990/10010] Time 0.324 (0.328) Data 0.001 (0.002) Loss 1.2824 (1.3337) Prec@1 68.750 (68.930) Prec@5 89.062 (87.229) Epoch: [89][3000/10010] Time 0.340 (0.328) Data 0.001 (0.002) Loss 1.5577 (1.3335) Prec@1 66.406 (68.934) Prec@5 82.031 (87.230) Epoch: [89][3010/10010] Time 0.323 (0.328) Data 0.001 (0.002) Loss 1.4244 (1.3335) Prec@1 71.875 (68.937) Prec@5 87.500 (87.231) Epoch: [89][3020/10010] Time 0.329 (0.328) Data 0.000 (0.002) Loss 1.3947 (1.3333) Prec@1 71.875 (68.941) Prec@5 85.938 (87.231) Epoch: [89][3030/10010] Time 0.322 (0.328) Data 0.000 (0.002) Loss 1.1941 (1.3334) Prec@1 70.312 (68.941) Prec@5 89.062 (87.231) Epoch: [89][3040/10010] Time 0.331 (0.328) Data 0.001 (0.002) Loss 1.3573 (1.3333) Prec@1 71.875 (68.942) Prec@5 87.500 (87.234) Epoch: [89][3050/10010] Time 0.339 (0.328) Data 0.001 (0.002) Loss 1.3465 (1.3333) Prec@1 67.969 (68.939) Prec@5 85.938 (87.236) /data/vision/torralba/deepscene/lib/anaconda2/lib/python2.7/site-packages/PIL/TiffImagePlugin.py:709: UserWarning: Corrupt EXIF data. Expecting to read 4 bytes but only got 0. warnings.warn(str(msg)) Epoch: [89][3060/10010] Time 0.320 (0.328) Data 0.000 (0.002) Loss 1.1406 (1.3330) Prec@1 70.312 (68.942) Prec@5 92.969 (87.244) Epoch: [89][3070/10010] Time 0.325 (0.328) Data 0.000 (0.002) Loss 1.4507 (1.3328) Prec@1 73.438 (68.948) Prec@5 83.594 (87.245) Epoch: [89][3080/10010] Time 0.338 (0.328) Data 0.000 (0.002) Loss 1.6429 (1.3331) Prec@1 61.719 (68.943) Prec@5 79.688 (87.241) Epoch: [89][3090/10010] Time 0.337 (0.328) Data 0.001 (0.002) Loss 1.3673 (1.3330) Prec@1 65.625 (68.942) Prec@5 86.719 (87.244) Epoch: [89][3100/10010] Time 0.338 (0.328) Data 0.001 (0.002) Loss 1.2453 (1.3331) Prec@1 71.094 (68.939) Prec@5 88.281 (87.242) Epoch: [89][3110/10010] Time 0.336 (0.328) Data 0.001 (0.002) Loss 1.0918 (1.3330) Prec@1 71.875 (68.941) Prec@5 89.844 (87.242) Epoch: [89][3120/10010] Time 0.332 (0.328) Data 0.000 (0.002) Loss 1.2102 (1.3330) Prec@1 67.969 (68.937) Prec@5 87.500 (87.242) Epoch: [89][3130/10010] Time 0.334 (0.328) Data 0.001 (0.002) Loss 1.4416 (1.3329) Prec@1 66.406 (68.940) Prec@5 85.938 (87.242) Epoch: [89][3140/10010] Time 0.314 (0.328) Data 0.001 (0.002) Loss 1.3432 (1.3327) Prec@1 64.844 (68.945) Prec@5 87.500 (87.249) Epoch: [89][3150/10010] Time 0.319 (0.328) Data 0.000 (0.002) Loss 1.3714 (1.3325) Prec@1 66.406 (68.950) Prec@5 85.938 (87.250) Epoch: [89][3160/10010] Time 0.313 (0.328) Data 0.001 (0.002) Loss 1.4079 (1.3328) Prec@1 71.875 (68.949) Prec@5 83.594 (87.245) Epoch: [89][3170/10010] Time 0.320 (0.328) Data 0.001 (0.002) Loss 1.0937 (1.3329) Prec@1 75.000 (68.949) Prec@5 89.062 (87.245) Epoch: [89][3180/10010] Time 0.325 (0.328) Data 0.001 (0.002) Loss 1.4069 (1.3329) Prec@1 64.844 (68.945) Prec@5 86.719 (87.248) Epoch: [89][3190/10010] Time 0.320 (0.328) Data 0.000 (0.002) Loss 1.2398 (1.3332) Prec@1 72.656 (68.941) Prec@5 87.500 (87.240) Epoch: [89][3200/10010] Time 0.321 (0.328) Data 0.001 (0.002) Loss 1.6808 (1.3333) Prec@1 60.938 (68.939) Prec@5 82.812 (87.240) Epoch: [89][3210/10010] Time 0.332 (0.328) Data 0.000 (0.002) Loss 1.2512 (1.3331) Prec@1 75.781 (68.943) Prec@5 85.156 (87.240) Epoch: [89][3220/10010] Time 0.322 (0.328) Data 0.001 (0.001) Loss 1.4708 (1.3332) Prec@1 64.844 (68.942) Prec@5 86.719 (87.238) Epoch: [89][3230/10010] Time 0.333 (0.328) Data 0.001 (0.001) Loss 1.1209 (1.3330) Prec@1 70.312 (68.942) Prec@5 90.625 (87.243) Epoch: [89][3240/10010] Time 0.321 (0.328) Data 0.000 (0.001) Loss 1.0104 (1.3330) Prec@1 72.656 (68.941) Prec@5 95.312 (87.244) Epoch: [89][3250/10010] Time 0.339 (0.328) Data 0.000 (0.001) Loss 1.1543 (1.3331) Prec@1 69.531 (68.939) Prec@5 91.406 (87.243) Epoch: [89][3260/10010] Time 0.337 (0.328) Data 0.001 (0.001) Loss 1.2083 (1.3332) Prec@1 74.219 (68.940) Prec@5 89.062 (87.243) Epoch: [89][3270/10010] Time 0.330 (0.328) Data 0.000 (0.001) Loss 1.2205 (1.3331) Prec@1 64.844 (68.936) Prec@5 87.500 (87.241) Epoch: [89][3280/10010] Time 0.315 (0.328) Data 0.000 (0.001) Loss 1.3534 (1.3331) Prec@1 69.531 (68.935) Prec@5 88.281 (87.244) Epoch: [89][3290/10010] Time 0.342 (0.328) Data 0.000 (0.001) Loss 1.3590 (1.3329) Prec@1 67.188 (68.936) Prec@5 85.938 (87.246) Epoch: [89][3300/10010] Time 0.340 (0.328) Data 0.001 (0.001) Loss 1.3403 (1.3330) Prec@1 74.219 (68.933) Prec@5 87.500 (87.247) Epoch: [89][3310/10010] Time 0.319 (0.328) Data 0.001 (0.001) Loss 1.2311 (1.3332) Prec@1 71.875 (68.924) Prec@5 89.844 (87.243) Epoch: [89][3320/10010] Time 0.328 (0.328) Data 0.000 (0.001) Loss 1.3306 (1.3332) Prec@1 64.844 (68.928) Prec@5 89.062 (87.244) Epoch: [89][3330/10010] Time 0.320 (0.328) Data 0.000 (0.001) Loss 1.1519 (1.3331) Prec@1 75.000 (68.932) Prec@5 91.406 (87.244) Epoch: [89][3340/10010] Time 0.310 (0.328) Data 0.001 (0.001) Loss 1.2336 (1.3329) Prec@1 70.312 (68.931) Prec@5 86.719 (87.247) Epoch: [89][3350/10010] Time 0.318 (0.328) Data 0.001 (0.001) Loss 1.1149 (1.3330) Prec@1 75.000 (68.933) Prec@5 88.281 (87.242) Epoch: [89][3360/10010] Time 0.320 (0.328) Data 0.001 (0.001) Loss 1.4923 (1.3329) Prec@1 65.625 (68.934) Prec@5 85.156 (87.244) Epoch: [89][3370/10010] Time 0.334 (0.328) Data 0.000 (0.001) Loss 1.3305 (1.3328) Prec@1 68.750 (68.935) Prec@5 89.844 (87.247) Epoch: [89][3380/10010] Time 0.329 (0.328) Data 0.001 (0.001) Loss 1.3023 (1.3328) Prec@1 73.438 (68.933) Prec@5 84.375 (87.244) Epoch: [89][3390/10010] Time 0.332 (0.328) Data 0.001 (0.001) Loss 1.4889 (1.3329) Prec@1 68.750 (68.932) Prec@5 83.594 (87.242) Epoch: [89][3400/10010] Time 0.331 (0.328) Data 0.001 (0.001) Loss 1.5441 (1.3332) Prec@1 66.406 (68.925) Prec@5 83.594 (87.238) Epoch: [89][3410/10010] Time 0.317 (0.328) Data 0.000 (0.001) Loss 1.4061 (1.3332) Prec@1 70.312 (68.927) Prec@5 86.719 (87.240) Epoch: [89][3420/10010] Time 0.325 (0.328) Data 0.001 (0.001) Loss 1.0880 (1.3331) Prec@1 75.000 (68.931) Prec@5 90.625 (87.242) Epoch: [89][3430/10010] Time 0.340 (0.328) Data 0.001 (0.001) Loss 1.2169 (1.3332) Prec@1 71.094 (68.933) Prec@5 88.281 (87.240) Epoch: [89][3440/10010] Time 0.315 (0.328) Data 0.001 (0.001) Loss 1.3649 (1.3332) Prec@1 64.844 (68.930) Prec@5 90.625 (87.242) /data/vision/torralba/deepscene/lib/anaconda2/lib/python2.7/site-packages/PIL/TiffImagePlugin.py:692: UserWarning: Possibly corrupt EXIF data. Expecting to read 2555904 bytes but only got 0. Skipping tag 0 "Skipping tag %s" % (size, len(data), tag)) Epoch: [89][3450/10010] Time 0.335 (0.328) Data 0.000 (0.001) Loss 1.2902 (1.3330) Prec@1 71.094 (68.935) Prec@5 90.625 (87.246) Epoch: [89][3460/10010] Time 0.338 (0.328) Data 0.000 (0.001) Loss 1.2739 (1.3330) Prec@1 69.531 (68.935) Prec@5 88.281 (87.246) Epoch: [89][3470/10010] Time 0.316 (0.328) Data 0.000 (0.001) Loss 1.5172 (1.3330) Prec@1 69.531 (68.935) Prec@5 85.156 (87.245) Epoch: [89][3480/10010] Time 0.332 (0.328) Data 0.001 (0.001) Loss 1.3896 (1.3331) Prec@1 67.188 (68.935) Prec@5 86.719 (87.243) Epoch: [89][3490/10010] Time 0.336 (0.328) Data 0.001 (0.001) Loss 1.2776 (1.3329) Prec@1 73.438 (68.933) Prec@5 89.062 (87.247) Epoch: [89][3500/10010] Time 0.318 (0.328) Data 0.000 (0.001) Loss 1.0674 (1.3329) Prec@1 77.344 (68.933) Prec@5 91.406 (87.248) Epoch: [89][3510/10010] Time 0.311 (0.328) Data 0.001 (0.001) Loss 1.3999 (1.3329) Prec@1 66.406 (68.933) Prec@5 85.156 (87.246) Epoch: [89][3520/10010] Time 0.335 (0.328) Data 0.001 (0.001) Loss 1.3814 (1.3329) Prec@1 69.531 (68.935) Prec@5 85.156 (87.247) Epoch: [89][3530/10010] Time 0.334 (0.328) Data 0.000 (0.001) Loss 1.1719 (1.3326) Prec@1 69.531 (68.937) Prec@5 89.062 (87.249) Epoch: [89][3540/10010] Time 0.320 (0.328) Data 0.000 (0.001) Loss 1.3280 (1.3327) Prec@1 70.312 (68.932) Prec@5 87.500 (87.247) Epoch: [89][3550/10010] Time 0.331 (0.328) Data 0.001 (0.001) Loss 1.2815 (1.3327) Prec@1 67.969 (68.933) Prec@5 89.062 (87.248) Epoch: [89][3560/10010] Time 0.318 (0.328) Data 0.000 (0.001) Loss 1.5424 (1.3328) Prec@1 66.406 (68.929) Prec@5 83.594 (87.246) Epoch: [89][3570/10010] Time 0.318 (0.328) Data 0.000 (0.001) Loss 1.2407 (1.3329) Prec@1 68.750 (68.931) Prec@5 89.844 (87.244) Epoch: [89][3580/10010] Time 0.328 (0.328) Data 0.001 (0.001) Loss 1.3647 (1.3331) Prec@1 66.406 (68.926) Prec@5 89.062 (87.241) Epoch: [89][3590/10010] Time 0.318 (0.328) Data 0.001 (0.001) Loss 1.0943 (1.3334) Prec@1 72.656 (68.919) Prec@5 90.625 (87.236) Epoch: [89][3600/10010] Time 0.325 (0.328) Data 0.001 (0.001) Loss 1.4198 (1.3334) Prec@1 66.406 (68.922) Prec@5 86.719 (87.236) Epoch: [89][3610/10010] Time 0.331 (0.328) Data 0.000 (0.001) Loss 1.5309 (1.3335) Prec@1 67.969 (68.924) Prec@5 85.156 (87.235) Epoch: [89][3620/10010] Time 0.337 (0.328) Data 0.000 (0.001) Loss 1.3995 (1.3336) Prec@1 67.969 (68.920) Prec@5 86.719 (87.232) Epoch: [89][3630/10010] Time 0.338 (0.328) Data 0.001 (0.001) Loss 1.1630 (1.3337) Prec@1 72.656 (68.918) Prec@5 90.625 (87.234) Epoch: [89][3640/10010] Time 0.332 (0.328) Data 0.001 (0.001) Loss 1.6093 (1.3338) Prec@1 63.281 (68.915) Prec@5 82.031 (87.233) Epoch: [89][3650/10010] Time 0.340 (0.328) Data 0.000 (0.001) Loss 1.7293 (1.3339) Prec@1 64.062 (68.916) Prec@5 78.906 (87.232) Epoch: [89][3660/10010] Time 0.337 (0.328) Data 0.001 (0.001) Loss 1.0984 (1.3336) Prec@1 72.656 (68.921) Prec@5 92.188 (87.236) Epoch: [89][3670/10010] Time 0.315 (0.328) Data 0.001 (0.001) Loss 1.6570 (1.3339) Prec@1 64.062 (68.916) Prec@5 78.906 (87.230) Epoch: [89][3680/10010] Time 0.331 (0.328) Data 0.001 (0.001) Loss 1.1714 (1.3340) Prec@1 71.875 (68.912) Prec@5 89.844 (87.228) Epoch: [89][3690/10010] Time 0.317 (0.328) Data 0.000 (0.001) Loss 1.1408 (1.3341) Prec@1 74.219 (68.910) Prec@5 91.406 (87.228) Epoch: [89][3700/10010] Time 0.321 (0.328) Data 0.001 (0.001) Loss 1.2514 (1.3339) Prec@1 67.969 (68.914) Prec@5 92.969 (87.234) Epoch: [89][3710/10010] Time 0.327 (0.328) Data 0.001 (0.001) Loss 1.3575 (1.3339) Prec@1 67.969 (68.911) Prec@5 87.500 (87.233) Epoch: [89][3720/10010] Time 0.334 (0.328) Data 0.000 (0.001) Loss 1.1523 (1.3339) Prec@1 71.094 (68.907) Prec@5 90.625 (87.236) Epoch: [89][3730/10010] Time 0.337 (0.328) Data 0.001 (0.001) Loss 1.7018 (1.3341) Prec@1 61.719 (68.902) Prec@5 82.812 (87.231) Epoch: [89][3740/10010] Time 0.319 (0.328) Data 0.000 (0.001) Loss 1.4731 (1.3345) Prec@1 65.625 (68.898) Prec@5 85.156 (87.225) Epoch: [89][3750/10010] Time 0.317 (0.328) Data 0.000 (0.001) Loss 1.5856 (1.3349) Prec@1 64.844 (68.889) Prec@5 82.812 (87.217) Epoch: [89][3760/10010] Time 0.324 (0.328) Data 0.000 (0.001) Loss 1.3627 (1.3349) Prec@1 64.844 (68.887) Prec@5 87.500 (87.215) Epoch: [89][3770/10010] Time 0.327 (0.328) Data 0.001 (0.001) Loss 1.3296 (1.3350) Prec@1 65.625 (68.886) Prec@5 87.500 (87.211) Epoch: [89][3780/10010] Time 0.340 (0.328) Data 0.001 (0.001) Loss 1.4026 (1.3351) Prec@1 65.625 (68.881) Prec@5 85.156 (87.212) Epoch: [89][3790/10010] Time 0.342 (0.328) Data 0.001 (0.001) Loss 1.6595 (1.3355) Prec@1 57.812 (68.875) Prec@5 82.031 (87.206) Epoch: [89][3800/10010] Time 0.336 (0.328) Data 0.001 (0.001) Loss 1.3220 (1.3355) Prec@1 69.531 (68.876) Prec@5 85.938 (87.206) Epoch: [89][3810/10010] Time 0.337 (0.328) Data 0.001 (0.001) Loss 1.4424 (1.3357) Prec@1 61.719 (68.869) Prec@5 86.719 (87.202) Epoch: [89][3820/10010] Time 0.325 (0.328) Data 0.000 (0.001) Loss 1.4343 (1.3356) Prec@1 63.281 (68.868) Prec@5 85.938 (87.201) Epoch: [89][3830/10010] Time 0.334 (0.328) Data 0.001 (0.001) Loss 1.4109 (1.3357) Prec@1 64.062 (68.865) Prec@5 85.938 (87.201) Epoch: [89][3840/10010] Time 0.328 (0.328) Data 0.001 (0.001) Loss 1.1713 (1.3355) Prec@1 72.656 (68.870) Prec@5 89.844 (87.206) Epoch: [89][3850/10010] Time 0.315 (0.328) Data 0.001 (0.001) Loss 1.5130 (1.3356) Prec@1 69.531 (68.869) Prec@5 82.031 (87.204) Epoch: [89][3860/10010] Time 0.330 (0.328) Data 0.000 (0.001) Loss 1.6852 (1.3356) Prec@1 56.250 (68.867) Prec@5 84.375 (87.204) Epoch: [89][3870/10010] Time 0.316 (0.328) Data 0.001 (0.001) Loss 1.3198 (1.3353) Prec@1 68.750 (68.869) Prec@5 86.719 (87.209) Epoch: [89][3880/10010] Time 0.339 (0.328) Data 0.001 (0.001) Loss 1.1093 (1.3351) Prec@1 73.438 (68.878) Prec@5 91.406 (87.214) Epoch: [89][3890/10010] Time 0.340 (0.328) Data 0.000 (0.001) Loss 1.3276 (1.3351) Prec@1 65.625 (68.873) Prec@5 87.500 (87.216) Epoch: [89][3900/10010] Time 0.339 (0.328) Data 0.001 (0.001) Loss 1.5980 (1.3352) Prec@1 64.844 (68.877) Prec@5 85.156 (87.215) Epoch: [89][3910/10010] Time 0.339 (0.328) Data 0.001 (0.001) Loss 1.1301 (1.3350) Prec@1 68.750 (68.881) Prec@5 89.844 (87.221) Epoch: [89][3920/10010] Time 0.323 (0.328) Data 0.000 (0.001) Loss 1.3718 (1.3350) Prec@1 66.406 (68.883) Prec@5 87.500 (87.222) Epoch: [89][3930/10010] Time 0.322 (0.328) Data 0.001 (0.001) Loss 1.1093 (1.3350) Prec@1 78.125 (68.884) Prec@5 90.625 (87.224) Epoch: [89][3940/10010] Time 0.329 (0.328) Data 0.001 (0.001) Loss 1.2822 (1.3351) Prec@1 73.438 (68.879) Prec@5 87.500 (87.221) Epoch: [89][3950/10010] Time 0.322 (0.328) Data 0.001 (0.001) Loss 1.2638 (1.3353) Prec@1 72.656 (68.875) Prec@5 86.719 (87.217) Epoch: [89][3960/10010] Time 0.341 (0.328) Data 0.001 (0.001) Loss 1.4819 (1.3353) Prec@1 63.281 (68.876) Prec@5 86.719 (87.216) Epoch: [89][3970/10010] Time 0.334 (0.328) Data 0.001 (0.001) Loss 1.3509 (1.3354) Prec@1 69.531 (68.875) Prec@5 85.938 (87.215) Epoch: [89][3980/10010] Time 0.333 (0.328) Data 0.001 (0.001) Loss 1.5457 (1.3356) Prec@1 61.719 (68.871) Prec@5 89.844 (87.214) Epoch: [89][3990/10010] Time 0.341 (0.328) Data 0.000 (0.001) Loss 1.4390 (1.3356) Prec@1 67.188 (68.865) Prec@5 84.375 (87.212) Epoch: [89][4000/10010] Time 0.329 (0.328) Data 0.001 (0.001) Loss 1.1947 (1.3356) Prec@1 72.656 (68.865) Prec@5 89.062 (87.211) Epoch: [89][4010/10010] Time 0.339 (0.328) Data 0.001 (0.001) Loss 1.3945 (1.3356) Prec@1 65.625 (68.862) Prec@5 87.500 (87.212) Epoch: [89][4020/10010] Time 0.311 (0.328) Data 0.001 (0.001) Loss 1.2983 (1.3354) Prec@1 72.656 (68.862) Prec@5 88.281 (87.212) Epoch: [89][4030/10010] Time 0.334 (0.328) Data 0.000 (0.001) Loss 1.3638 (1.3356) Prec@1 66.406 (68.860) Prec@5 85.156 (87.210) Epoch: [89][4040/10010] Time 0.337 (0.328) Data 0.001 (0.001) Loss 1.3845 (1.3356) Prec@1 70.312 (68.862) Prec@5 88.281 (87.210) Epoch: [89][4050/10010] Time 0.316 (0.328) Data 0.000 (0.001) Loss 1.3840 (1.3356) Prec@1 63.281 (68.865) Prec@5 87.500 (87.211) Epoch: [89][4060/10010] Time 0.325 (0.328) Data 0.000 (0.001) Loss 1.3267 (1.3356) Prec@1 73.438 (68.864) Prec@5 83.594 (87.210) Epoch: [89][4070/10010] Time 0.329 (0.328) Data 0.001 (0.001) Loss 1.1891 (1.3357) Prec@1 68.750 (68.863) Prec@5 89.844 (87.208) Epoch: [89][4080/10010] Time 0.321 (0.328) Data 0.001 (0.001) Loss 1.3623 (1.3356) Prec@1 71.094 (68.864) Prec@5 82.812 (87.209) Epoch: [89][4090/10010] Time 0.326 (0.328) Data 0.001 (0.001) Loss 1.3240 (1.3356) Prec@1 70.312 (68.865) Prec@5 89.062 (87.209) Epoch: [89][4100/10010] Time 0.339 (0.328) Data 0.000 (0.001) Loss 1.1483 (1.3355) Prec@1 70.312 (68.865) Prec@5 90.625 (87.211) Epoch: [89][4110/10010] Time 0.316 (0.328) Data 0.001 (0.001) Loss 1.4554 (1.3356) Prec@1 69.531 (68.864) Prec@5 82.031 (87.208) Epoch: [89][4120/10010] Time 0.330 (0.328) Data 0.000 (0.001) Loss 1.2181 (1.3355) Prec@1 71.094 (68.868) Prec@5 88.281 (87.207) Epoch: [89][4130/10010] Time 0.338 (0.328) Data 0.001 (0.001) Loss 1.3532 (1.3356) Prec@1 72.656 (68.866) Prec@5 85.156 (87.204) Epoch: [89][4140/10010] Time 0.331 (0.328) Data 0.001 (0.001) Loss 1.3150 (1.3357) Prec@1 71.875 (68.865) Prec@5 85.938 (87.203) Epoch: [89][4150/10010] Time 0.330 (0.328) Data 0.001 (0.001) Loss 1.3140 (1.3360) Prec@1 70.312 (68.857) Prec@5 83.594 (87.198) Epoch: [89][4160/10010] Time 0.338 (0.328) Data 0.001 (0.001) Loss 1.1649 (1.3360) Prec@1 73.438 (68.856) Prec@5 89.844 (87.197) Epoch: [89][4170/10010] Time 0.335 (0.328) Data 0.001 (0.001) Loss 1.4280 (1.3359) Prec@1 66.406 (68.858) Prec@5 84.375 (87.198) Epoch: [89][4180/10010] Time 0.321 (0.328) Data 0.001 (0.001) Loss 1.6273 (1.3359) Prec@1 65.625 (68.860) Prec@5 86.719 (87.198) Epoch: [89][4190/10010] Time 0.332 (0.328) Data 0.000 (0.001) Loss 1.4703 (1.3360) Prec@1 65.625 (68.860) Prec@5 84.375 (87.195) Epoch: [89][4200/10010] Time 0.319 (0.328) Data 0.000 (0.001) Loss 1.3524 (1.3360) Prec@1 64.844 (68.860) Prec@5 89.062 (87.197) Epoch: [89][4210/10010] Time 0.321 (0.328) Data 0.000 (0.001) Loss 1.1445 (1.3359) Prec@1 71.875 (68.860) Prec@5 88.281 (87.197) Epoch: [89][4220/10010] Time 0.326 (0.328) Data 0.001 (0.001) Loss 1.5760 (1.3361) Prec@1 63.281 (68.857) Prec@5 84.375 (87.194) Epoch: [89][4230/10010] Time 0.337 (0.328) Data 0.001 (0.001) Loss 1.3642 (1.3362) Prec@1 68.750 (68.859) Prec@5 84.375 (87.191) Epoch: [89][4240/10010] Time 0.335 (0.328) Data 0.000 (0.001) Loss 1.3962 (1.3363) Prec@1 71.094 (68.857) Prec@5 85.938 (87.190) Epoch: [89][4250/10010] Time 0.323 (0.328) Data 0.000 (0.001) Loss 1.5891 (1.3362) Prec@1 64.844 (68.860) Prec@5 83.594 (87.194) Epoch: [89][4260/10010] Time 0.320 (0.328) Data 0.001 (0.001) Loss 1.5588 (1.3363) Prec@1 64.844 (68.861) Prec@5 82.812 (87.190) Epoch: [89][4270/10010] Time 0.334 (0.328) Data 0.001 (0.001) Loss 1.2813 (1.3362) Prec@1 65.625 (68.864) Prec@5 91.406 (87.192) Epoch: [89][4280/10010] Time 0.335 (0.328) Data 0.000 (0.001) Loss 1.1195 (1.3360) Prec@1 75.000 (68.869) Prec@5 89.062 (87.195) Epoch: [89][4290/10010] Time 0.325 (0.328) Data 0.001 (0.001) Loss 1.3946 (1.3359) Prec@1 70.312 (68.873) Prec@5 85.156 (87.199) Epoch: [89][4300/10010] Time 0.338 (0.328) Data 0.000 (0.001) Loss 1.1456 (1.3358) Prec@1 74.219 (68.877) Prec@5 91.406 (87.201) Epoch: [89][4310/10010] Time 0.324 (0.328) Data 0.001 (0.001) Loss 1.2673 (1.3360) Prec@1 69.531 (68.873) Prec@5 87.500 (87.197) Epoch: [89][4320/10010] Time 0.334 (0.328) Data 0.000 (0.001) Loss 1.2699 (1.3362) Prec@1 66.406 (68.867) Prec@5 84.375 (87.192) Epoch: [89][4330/10010] Time 0.324 (0.328) Data 0.001 (0.001) Loss 1.1246 (1.3363) Prec@1 75.781 (68.867) Prec@5 90.625 (87.190) Epoch: [89][4340/10010] Time 0.325 (0.328) Data 0.001 (0.001) Loss 1.5361 (1.3364) Prec@1 64.844 (68.865) Prec@5 84.375 (87.187) Epoch: [89][4350/10010] Time 0.325 (0.328) Data 0.000 (0.001) Loss 1.3451 (1.3364) Prec@1 64.844 (68.861) Prec@5 89.062 (87.187) Epoch: [89][4360/10010] Time 0.317 (0.328) Data 0.001 (0.001) Loss 1.2281 (1.3366) Prec@1 69.531 (68.862) Prec@5 85.156 (87.186) Epoch: [89][4370/10010] Time 0.321 (0.328) Data 0.000 (0.001) Loss 1.5034 (1.3368) Prec@1 68.750 (68.862) Prec@5 84.375 (87.183) Epoch: [89][4380/10010] Time 0.338 (0.328) Data 0.001 (0.001) Loss 1.4389 (1.3368) Prec@1 70.312 (68.858) Prec@5 85.156 (87.183) Epoch: [89][4390/10010] Time 0.310 (0.328) Data 0.001 (0.001) Loss 1.3856 (1.3368) Prec@1 67.969 (68.857) Prec@5 85.938 (87.183) Epoch: [89][4400/10010] Time 0.330 (0.328) Data 0.000 (0.001) Loss 1.4199 (1.3367) Prec@1 69.531 (68.861) Prec@5 83.594 (87.184) Epoch: [89][4410/10010] Time 0.334 (0.328) Data 0.001 (0.001) Loss 1.3320 (1.3367) Prec@1 73.438 (68.862) Prec@5 87.500 (87.187) Epoch: [89][4420/10010] Time 0.334 (0.328) Data 0.001 (0.001) Loss 1.2423 (1.3368) Prec@1 70.312 (68.862) Prec@5 89.844 (87.186) Epoch: [89][4430/10010] Time 0.337 (0.328) Data 0.000 (0.001) Loss 1.2955 (1.3367) Prec@1 70.312 (68.862) Prec@5 86.719 (87.190) Epoch: [89][4440/10010] Time 0.336 (0.328) Data 0.000 (0.001) Loss 1.4406 (1.3365) Prec@1 69.531 (68.864) Prec@5 85.156 (87.193) Epoch: [89][4450/10010] Time 0.332 (0.328) Data 0.001 (0.001) Loss 1.0347 (1.3363) Prec@1 74.219 (68.867) Prec@5 89.062 (87.193) Epoch: [89][4460/10010] Time 0.311 (0.328) Data 0.001 (0.001) Loss 1.4449 (1.3364) Prec@1 67.969 (68.868) Prec@5 85.938 (87.192) Epoch: [89][4470/10010] Time 0.323 (0.328) Data 0.001 (0.001) Loss 1.3359 (1.3361) Prec@1 67.188 (68.872) Prec@5 87.500 (87.195) Epoch: [89][4480/10010] Time 0.339 (0.328) Data 0.001 (0.001) Loss 1.4091 (1.3361) Prec@1 69.531 (68.874) Prec@5 85.938 (87.196) Epoch: [89][4490/10010] Time 0.333 (0.328) Data 0.001 (0.001) Loss 1.7797 (1.3360) Prec@1 61.719 (68.878) Prec@5 81.250 (87.195) Epoch: [89][4500/10010] Time 0.321 (0.328) Data 0.001 (0.001) Loss 1.3164 (1.3360) Prec@1 70.312 (68.875) Prec@5 85.938 (87.192) Epoch: [89][4510/10010] Time 0.336 (0.328) Data 0.001 (0.001) Loss 1.3280 (1.3358) Prec@1 71.094 (68.881) Prec@5 84.375 (87.196) Epoch: [89][4520/10010] Time 0.318 (0.328) Data 0.000 (0.001) Loss 1.7008 (1.3359) Prec@1 63.281 (68.878) Prec@5 82.031 (87.193) Epoch: [89][4530/10010] Time 0.335 (0.328) Data 0.000 (0.001) Loss 1.3206 (1.3358) Prec@1 64.062 (68.879) Prec@5 88.281 (87.195) Epoch: [89][4540/10010] Time 0.322 (0.328) Data 0.001 (0.001) Loss 1.0975 (1.3357) Prec@1 78.125 (68.880) Prec@5 89.844 (87.195) Epoch: [89][4550/10010] Time 0.313 (0.328) Data 0.001 (0.001) Loss 1.5412 (1.3359) Prec@1 66.406 (68.880) Prec@5 84.375 (87.192) Epoch: [89][4560/10010] Time 0.318 (0.328) Data 0.001 (0.001) Loss 1.1018 (1.3357) Prec@1 74.219 (68.883) Prec@5 89.844 (87.194) Epoch: [89][4570/10010] Time 0.329 (0.328) Data 0.001 (0.001) Loss 1.2863 (1.3356) Prec@1 67.188 (68.888) Prec@5 86.719 (87.196) Epoch: [89][4580/10010] Time 0.329 (0.328) Data 0.001 (0.001) Loss 1.2756 (1.3355) Prec@1 72.656 (68.891) Prec@5 89.062 (87.197) Epoch: [89][4590/10010] Time 0.339 (0.328) Data 0.001 (0.001) Loss 1.4300 (1.3355) Prec@1 66.406 (68.892) Prec@5 85.156 (87.197) Epoch: [89][4600/10010] Time 0.335 (0.328) Data 0.000 (0.001) Loss 1.0321 (1.3353) Prec@1 75.000 (68.896) Prec@5 93.750 (87.200) Epoch: [89][4610/10010] Time 0.336 (0.328) Data 0.001 (0.001) Loss 1.4067 (1.3355) Prec@1 67.969 (68.894) Prec@5 87.500 (87.198) Epoch: [89][4620/10010] Time 0.334 (0.328) Data 0.001 (0.001) Loss 1.2789 (1.3354) Prec@1 75.000 (68.897) Prec@5 87.500 (87.198) Epoch: [89][4630/10010] Time 0.324 (0.328) Data 0.001 (0.001) Loss 1.2169 (1.3355) Prec@1 67.188 (68.889) Prec@5 91.406 (87.198) Epoch: [89][4640/10010] Time 0.337 (0.328) Data 0.001 (0.001) Loss 1.5861 (1.3358) Prec@1 57.812 (68.882) Prec@5 85.156 (87.194) Epoch: [89][4650/10010] Time 0.332 (0.328) Data 0.001 (0.001) Loss 1.5470 (1.3359) Prec@1 71.094 (68.883) Prec@5 84.375 (87.193) Epoch: [89][4660/10010] Time 0.320 (0.328) Data 0.001 (0.001) Loss 1.2598 (1.3360) Prec@1 71.094 (68.881) Prec@5 88.281 (87.192) Epoch: [89][4670/10010] Time 0.340 (0.328) Data 0.000 (0.001) Loss 1.0754 (1.3361) Prec@1 75.000 (68.878) Prec@5 91.406 (87.189) Epoch: [89][4680/10010] Time 0.317 (0.328) Data 0.001 (0.001) Loss 1.3003 (1.3359) Prec@1 66.406 (68.881) Prec@5 89.062 (87.194) Epoch: [89][4690/10010] Time 0.319 (0.328) Data 0.000 (0.001) Loss 1.4796 (1.3357) Prec@1 67.969 (68.888) Prec@5 87.500 (87.195) Epoch: [89][4700/10010] Time 0.316 (0.328) Data 0.001 (0.001) Loss 1.4240 (1.3360) Prec@1 67.188 (68.883) Prec@5 87.500 (87.191) Epoch: [89][4710/10010] Time 0.334 (0.328) Data 0.000 (0.001) Loss 1.3423 (1.3361) Prec@1 70.312 (68.881) Prec@5 88.281 (87.188) Epoch: [89][4720/10010] Time 0.330 (0.328) Data 0.001 (0.001) Loss 1.1047 (1.3360) Prec@1 71.094 (68.883) Prec@5 89.844 (87.188) Epoch: [89][4730/10010] Time 0.325 (0.328) Data 0.000 (0.001) Loss 1.6236 (1.3360) Prec@1 62.500 (68.885) Prec@5 84.375 (87.189) Epoch: [89][4740/10010] Time 0.315 (0.328) Data 0.001 (0.001) Loss 1.3325 (1.3360) Prec@1 71.875 (68.885) Prec@5 89.844 (87.189) Epoch: [89][4750/10010] Time 0.333 (0.328) Data 0.001 (0.001) Loss 1.3105 (1.3359) Prec@1 67.188 (68.887) Prec@5 86.719 (87.190) Epoch: [89][4760/10010] Time 0.328 (0.328) Data 0.000 (0.001) Loss 1.4390 (1.3361) Prec@1 68.750 (68.883) Prec@5 87.500 (87.188) Epoch: [89][4770/10010] Time 0.329 (0.328) Data 0.001 (0.001) Loss 1.5314 (1.3362) Prec@1 64.844 (68.876) Prec@5 86.719 (87.189) Epoch: [89][4780/10010] Time 0.319 (0.328) Data 0.000 (0.001) Loss 1.0921 (1.3363) Prec@1 76.562 (68.876) Prec@5 89.844 (87.186) Epoch: [89][4790/10010] Time 0.314 (0.328) Data 0.001 (0.001) Loss 1.5938 (1.3363) Prec@1 64.844 (68.874) Prec@5 81.250 (87.187) Epoch: [89][4800/10010] Time 0.335 (0.328) Data 0.000 (0.001) Loss 1.2379 (1.3363) Prec@1 71.875 (68.873) Prec@5 89.062 (87.188) Epoch: [89][4810/10010] Time 0.322 (0.328) Data 0.001 (0.001) Loss 1.3618 (1.3365) Prec@1 68.750 (68.868) Prec@5 87.500 (87.185) Epoch: [89][4820/10010] Time 0.337 (0.328) Data 0.001 (0.001) Loss 1.3367 (1.3364) Prec@1 64.844 (68.867) Prec@5 88.281 (87.186) Epoch: [89][4830/10010] Time 0.338 (0.328) Data 0.000 (0.001) Loss 1.3576 (1.3364) Prec@1 69.531 (68.866) Prec@5 87.500 (87.187) Epoch: [89][4840/10010] Time 0.318 (0.328) Data 0.001 (0.001) Loss 1.1061 (1.3364) Prec@1 75.781 (68.869) Prec@5 91.406 (87.188) Epoch: [89][4850/10010] Time 0.323 (0.328) Data 0.000 (0.001) Loss 1.2101 (1.3364) Prec@1 71.875 (68.870) Prec@5 89.062 (87.187) Epoch: [89][4860/10010] Time 0.321 (0.328) Data 0.001 (0.001) Loss 1.3828 (1.3364) Prec@1 69.531 (68.870) Prec@5 88.281 (87.187) Epoch: [89][4870/10010] Time 0.318 (0.328) Data 0.001 (0.001) Loss 1.5369 (1.3364) Prec@1 66.406 (68.871) Prec@5 83.594 (87.186) Epoch: [89][4880/10010] Time 0.337 (0.328) Data 0.000 (0.001) Loss 1.5037 (1.3365) Prec@1 65.625 (68.866) Prec@5 83.594 (87.183) Epoch: [89][4890/10010] Time 0.321 (0.328) Data 0.001 (0.001) Loss 1.3671 (1.3366) Prec@1 64.062 (68.863) Prec@5 89.062 (87.183) Epoch: [89][4900/10010] Time 0.320 (0.328) Data 0.000 (0.001) Loss 1.2532 (1.3365) Prec@1 70.312 (68.860) Prec@5 89.062 (87.185) Epoch: [89][4910/10010] Time 0.314 (0.328) Data 0.001 (0.001) Loss 1.3186 (1.3364) Prec@1 67.969 (68.863) Prec@5 89.844 (87.187) Epoch: [89][4920/10010] Time 0.317 (0.328) Data 0.001 (0.001) Loss 1.1033 (1.3364) Prec@1 70.312 (68.860) Prec@5 92.969 (87.189) Epoch: [89][4930/10010] Time 0.336 (0.328) Data 0.001 (0.001) Loss 1.2744 (1.3365) Prec@1 69.531 (68.860) Prec@5 87.500 (87.186) Epoch: [89][4940/10010] Time 0.328 (0.328) Data 0.001 (0.001) Loss 1.4053 (1.3366) Prec@1 65.625 (68.858) Prec@5 87.500 (87.185) Epoch: [89][4950/10010] Time 0.333 (0.328) Data 0.001 (0.001) Loss 1.3319 (1.3367) Prec@1 71.875 (68.858) Prec@5 86.719 (87.183) Epoch: [89][4960/10010] Time 0.336 (0.328) Data 0.001 (0.001) Loss 1.3179 (1.3366) Prec@1 71.875 (68.860) Prec@5 88.281 (87.184) Epoch: [89][4970/10010] Time 0.320 (0.328) Data 0.001 (0.001) Loss 1.0597 (1.3367) Prec@1 75.000 (68.855) Prec@5 89.844 (87.184) Epoch: [89][4980/10010] Time 0.325 (0.328) Data 0.001 (0.001) Loss 1.2690 (1.3366) Prec@1 72.656 (68.853) Prec@5 88.281 (87.184) Epoch: [89][4990/10010] Time 0.322 (0.328) Data 0.001 (0.001) Loss 1.3420 (1.3366) Prec@1 64.844 (68.853) Prec@5 88.281 (87.183) Epoch: [89][5000/10010] Time 0.317 (0.328) Data 0.001 (0.001) Loss 1.2813 (1.3366) Prec@1 67.188 (68.851) Prec@5 90.625 (87.184) Epoch: [89][5010/10010] Time 0.337 (0.328) Data 0.000 (0.001) Loss 1.3312 (1.3366) Prec@1 67.969 (68.849) Prec@5 88.281 (87.184) Epoch: [89][5020/10010] Time 0.324 (0.328) Data 0.001 (0.001) Loss 1.1097 (1.3366) Prec@1 69.531 (68.848) Prec@5 89.062 (87.184) Epoch: [89][5030/10010] Time 0.313 (0.328) Data 0.001 (0.001) Loss 1.3970 (1.3365) Prec@1 70.312 (68.852) Prec@5 86.719 (87.188) Epoch: [89][5040/10010] Time 0.341 (0.328) Data 0.000 (0.001) Loss 1.2337 (1.3366) Prec@1 71.875 (68.849) Prec@5 90.625 (87.186) Epoch: [89][5050/10010] Time 0.324 (0.328) Data 0.000 (0.001) Loss 1.3416 (1.3367) Prec@1 67.188 (68.848) Prec@5 91.406 (87.186) Epoch: [89][5060/10010] Time 0.335 (0.328) Data 0.001 (0.001) Loss 1.4740 (1.3366) Prec@1 65.625 (68.847) Prec@5 84.375 (87.185) Epoch: [89][5070/10010] Time 0.312 (0.328) Data 0.001 (0.001) Loss 1.2453 (1.3366) Prec@1 72.656 (68.847) Prec@5 87.500 (87.186) Epoch: [89][5080/10010] Time 0.334 (0.328) Data 0.000 (0.001) Loss 1.3975 (1.3366) Prec@1 67.188 (68.849) Prec@5 83.594 (87.188) Epoch: [89][5090/10010] Time 0.336 (0.328) Data 0.001 (0.001) Loss 1.2364 (1.3365) Prec@1 71.875 (68.850) Prec@5 90.625 (87.188) Epoch: [89][5100/10010] Time 0.326 (0.328) Data 0.001 (0.001) Loss 1.5762 (1.3366) Prec@1 67.969 (68.852) Prec@5 82.812 (87.186) Epoch: [89][5110/10010] Time 0.311 (0.328) Data 0.001 (0.001) Loss 1.1604 (1.3365) Prec@1 70.312 (68.852) Prec@5 90.625 (87.186) Epoch: [89][5120/10010] Time 0.321 (0.328) Data 0.001 (0.001) Loss 1.3975 (1.3365) Prec@1 70.312 (68.853) Prec@5 85.938 (87.188) Epoch: [89][5130/10010] Time 0.333 (0.328) Data 0.001 (0.001) Loss 1.1059 (1.3364) Prec@1 70.312 (68.856) Prec@5 92.969 (87.188) Epoch: [89][5140/10010] Time 0.332 (0.328) Data 0.001 (0.001) Loss 1.4028 (1.3365) Prec@1 67.188 (68.855) Prec@5 85.938 (87.187) Epoch: [89][5150/10010] Time 0.321 (0.328) Data 0.000 (0.001) Loss 1.2925 (1.3366) Prec@1 72.656 (68.853) Prec@5 89.844 (87.185) Epoch: [89][5160/10010] Time 0.336 (0.328) Data 0.001 (0.001) Loss 1.5621 (1.3368) Prec@1 62.500 (68.848) Prec@5 85.938 (87.183) Epoch: [89][5170/10010] Time 0.338 (0.328) Data 0.001 (0.001) Loss 1.5023 (1.3367) Prec@1 64.844 (68.849) Prec@5 85.938 (87.183) Epoch: [89][5180/10010] Time 0.337 (0.328) Data 0.000 (0.001) Loss 1.1448 (1.3366) Prec@1 70.312 (68.852) Prec@5 89.062 (87.183) Epoch: [89][5190/10010] Time 0.330 (0.328) Data 0.001 (0.001) Loss 1.0796 (1.3366) Prec@1 73.438 (68.851) Prec@5 92.188 (87.182) Epoch: [89][5200/10010] Time 0.317 (0.328) Data 0.000 (0.001) Loss 1.0288 (1.3367) Prec@1 77.344 (68.848) Prec@5 91.406 (87.182) Epoch: [89][5210/10010] Time 0.335 (0.328) Data 0.001 (0.001) Loss 1.1602 (1.3369) Prec@1 71.875 (68.845) Prec@5 89.062 (87.179) Epoch: [89][5220/10010] Time 0.317 (0.328) Data 0.001 (0.001) Loss 1.2431 (1.3368) Prec@1 65.625 (68.845) Prec@5 87.500 (87.181) Epoch: [89][5230/10010] Time 0.318 (0.328) Data 0.000 (0.001) Loss 1.2351 (1.3367) Prec@1 67.188 (68.848) Prec@5 90.625 (87.181) Epoch: [89][5240/10010] Time 0.331 (0.328) Data 0.001 (0.001) Loss 1.2938 (1.3367) Prec@1 73.438 (68.849) Prec@5 84.375 (87.178) Epoch: [89][5250/10010] Time 0.339 (0.328) Data 0.001 (0.001) Loss 1.4801 (1.3367) Prec@1 63.281 (68.847) Prec@5 90.625 (87.180) Epoch: [89][5260/10010] Time 0.337 (0.328) Data 0.000 (0.001) Loss 1.2518 (1.3366) Prec@1 64.844 (68.848) Prec@5 91.406 (87.182) Epoch: [89][5270/10010] Time 0.333 (0.328) Data 0.001 (0.001) Loss 1.1853 (1.3366) Prec@1 71.875 (68.849) Prec@5 89.062 (87.182) Epoch: [89][5280/10010] Time 0.330 (0.328) Data 0.001 (0.001) Loss 1.1764 (1.3366) Prec@1 69.531 (68.849) Prec@5 86.719 (87.182) Epoch: [89][5290/10010] Time 0.331 (0.328) Data 0.000 (0.001) Loss 1.4210 (1.3366) Prec@1 64.844 (68.846) Prec@5 85.938 (87.182) Epoch: [89][5300/10010] Time 0.315 (0.328) Data 0.000 (0.001) Loss 1.7790 (1.3367) Prec@1 61.719 (68.845) Prec@5 82.812 (87.180) Epoch: [89][5310/10010] Time 0.335 (0.328) Data 0.001 (0.001) Loss 1.1659 (1.3367) Prec@1 67.969 (68.846) Prec@5 89.062 (87.180) Epoch: [89][5320/10010] Time 0.338 (0.328) Data 0.001 (0.001) Loss 1.0229 (1.3367) Prec@1 75.781 (68.847) Prec@5 91.406 (87.180) Epoch: [89][5330/10010] Time 0.319 (0.328) Data 0.001 (0.001) Loss 1.3126 (1.3366) Prec@1 69.531 (68.848) Prec@5 87.500 (87.182) Epoch: [89][5340/10010] Time 0.319 (0.328) Data 0.001 (0.001) Loss 1.4589 (1.3365) Prec@1 68.750 (68.850) Prec@5 85.156 (87.183) Epoch: [89][5350/10010] Time 0.322 (0.328) Data 0.001 (0.001) Loss 1.2591 (1.3365) Prec@1 71.094 (68.854) Prec@5 83.594 (87.183) Epoch: [89][5360/10010] Time 0.338 (0.328) Data 0.000 (0.001) Loss 1.1969 (1.3364) Prec@1 71.094 (68.856) Prec@5 90.625 (87.184) Epoch: [89][5370/10010] Time 0.338 (0.328) Data 0.001 (0.001) Loss 1.1445 (1.3364) Prec@1 71.875 (68.857) Prec@5 91.406 (87.185) Epoch: [89][5380/10010] Time 0.319 (0.328) Data 0.001 (0.001) Loss 1.3825 (1.3363) Prec@1 67.188 (68.857) Prec@5 85.938 (87.188) Epoch: [89][5390/10010] Time 0.340 (0.328) Data 0.001 (0.001) Loss 1.3477 (1.3364) Prec@1 66.406 (68.853) Prec@5 86.719 (87.187) Epoch: [89][5400/10010] Time 0.331 (0.328) Data 0.001 (0.001) Loss 1.6385 (1.3363) Prec@1 62.500 (68.855) Prec@5 82.031 (87.190) Epoch: [89][5410/10010] Time 0.319 (0.328) Data 0.001 (0.001) Loss 1.5709 (1.3364) Prec@1 66.406 (68.853) Prec@5 85.938 (87.187) Epoch: [89][5420/10010] Time 0.336 (0.328) Data 0.001 (0.001) Loss 1.2460 (1.3364) Prec@1 71.094 (68.853) Prec@5 92.188 (87.186) Epoch: [89][5430/10010] Time 0.329 (0.328) Data 0.001 (0.001) Loss 1.3718 (1.3364) Prec@1 68.750 (68.853) Prec@5 87.500 (87.185) Epoch: [89][5440/10010] Time 0.321 (0.328) Data 0.001 (0.001) Loss 1.4818 (1.3364) Prec@1 69.531 (68.854) Prec@5 82.812 (87.184) Epoch: [89][5450/10010] Time 0.334 (0.328) Data 0.001 (0.001) Loss 1.5360 (1.3365) Prec@1 56.250 (68.852) Prec@5 86.719 (87.185) Epoch: [89][5460/10010] Time 0.324 (0.328) Data 0.001 (0.001) Loss 1.3757 (1.3367) Prec@1 69.531 (68.849) Prec@5 85.156 (87.182) Epoch: [89][5470/10010] Time 0.337 (0.328) Data 0.001 (0.001) Loss 0.8858 (1.3365) Prec@1 78.906 (68.852) Prec@5 95.312 (87.185) Epoch: [89][5480/10010] Time 0.338 (0.328) Data 0.001 (0.001) Loss 1.0206 (1.3366) Prec@1 71.875 (68.850) Prec@5 91.406 (87.185) Epoch: [89][5490/10010] Time 0.335 (0.328) Data 0.000 (0.001) Loss 1.4094 (1.3365) Prec@1 68.750 (68.850) Prec@5 86.719 (87.186) Epoch: [89][5500/10010] Time 0.335 (0.328) Data 0.001 (0.001) Loss 1.4370 (1.3364) Prec@1 70.312 (68.852) Prec@5 87.500 (87.190) Epoch: [89][5510/10010] Time 0.315 (0.328) Data 0.001 (0.001) Loss 1.2955 (1.3363) Prec@1 69.531 (68.855) Prec@5 87.500 (87.194) Epoch: [89][5520/10010] Time 0.328 (0.328) Data 0.001 (0.001) Loss 1.1243 (1.3361) Prec@1 67.969 (68.856) Prec@5 91.406 (87.196) Epoch: [89][5530/10010] Time 0.339 (0.328) Data 0.000 (0.001) Loss 1.4866 (1.3363) Prec@1 64.062 (68.853) Prec@5 82.812 (87.191) Epoch: [89][5540/10010] Time 0.337 (0.328) Data 0.001 (0.001) Loss 1.2681 (1.3363) Prec@1 67.969 (68.855) Prec@5 88.281 (87.191) Epoch: [89][5550/10010] Time 0.340 (0.328) Data 0.001 (0.001) Loss 1.3270 (1.3363) Prec@1 66.406 (68.853) Prec@5 89.844 (87.189) Epoch: [89][5560/10010] Time 0.328 (0.328) Data 0.001 (0.001) Loss 1.4856 (1.3365) Prec@1 61.719 (68.849) Prec@5 86.719 (87.190) Epoch: [89][5570/10010] Time 0.313 (0.328) Data 0.001 (0.001) Loss 1.2948 (1.3366) Prec@1 71.094 (68.848) Prec@5 85.156 (87.186) Epoch: [89][5580/10010] Time 0.340 (0.328) Data 0.000 (0.001) Loss 1.3821 (1.3367) Prec@1 67.188 (68.846) Prec@5 86.719 (87.185) Epoch: [89][5590/10010] Time 0.339 (0.328) Data 0.001 (0.001) Loss 1.2960 (1.3367) Prec@1 67.188 (68.846) Prec@5 87.500 (87.184) Epoch: [89][5600/10010] Time 0.332 (0.328) Data 0.001 (0.001) Loss 1.7156 (1.3369) Prec@1 67.969 (68.843) Prec@5 84.375 (87.182) Epoch: [89][5610/10010] Time 0.332 (0.328) Data 0.001 (0.001) Loss 1.4181 (1.3368) Prec@1 67.188 (68.845) Prec@5 86.719 (87.182) Epoch: [89][5620/10010] Time 0.313 (0.328) Data 0.001 (0.001) Loss 1.4050 (1.3369) Prec@1 69.531 (68.844) Prec@5 85.938 (87.180) Epoch: [89][5630/10010] Time 0.332 (0.328) Data 0.001 (0.001) Loss 1.2360 (1.3367) Prec@1 64.062 (68.843) Prec@5 87.500 (87.181) Epoch: [89][5640/10010] Time 0.321 (0.328) Data 0.000 (0.001) Loss 1.6471 (1.3371) Prec@1 67.969 (68.839) Prec@5 82.812 (87.178) Epoch: [89][5650/10010] Time 0.339 (0.328) Data 0.001 (0.001) Loss 1.4601 (1.3370) Prec@1 68.750 (68.840) Prec@5 86.719 (87.179) Epoch: [89][5660/10010] Time 0.341 (0.328) Data 0.001 (0.001) Loss 1.2945 (1.3371) Prec@1 67.969 (68.841) Prec@5 87.500 (87.176) Epoch: [89][5670/10010] Time 0.334 (0.328) Data 0.000 (0.001) Loss 1.0651 (1.3371) Prec@1 72.656 (68.844) Prec@5 93.750 (87.177) Epoch: [89][5680/10010] Time 0.338 (0.328) Data 0.001 (0.001) Loss 1.1427 (1.3372) Prec@1 70.312 (68.842) Prec@5 89.844 (87.175) Epoch: [89][5690/10010] Time 0.341 (0.328) Data 0.001 (0.001) Loss 1.5475 (1.3372) Prec@1 61.719 (68.843) Prec@5 84.375 (87.175) Epoch: [89][5700/10010] Time 0.318 (0.328) Data 0.001 (0.001) Loss 1.3952 (1.3373) Prec@1 66.406 (68.842) Prec@5 89.062 (87.175) Epoch: [89][5710/10010] Time 0.337 (0.328) Data 0.001 (0.001) Loss 1.3442 (1.3373) Prec@1 71.875 (68.842) Prec@5 87.500 (87.176) Epoch: [89][5720/10010] Time 0.344 (0.328) Data 0.000 (0.001) Loss 1.3239 (1.3372) Prec@1 72.656 (68.845) Prec@5 89.062 (87.178) Epoch: [89][5730/10010] Time 0.324 (0.328) Data 0.001 (0.001) Loss 1.3484 (1.3373) Prec@1 73.438 (68.843) Prec@5 89.062 (87.179) Epoch: [89][5740/10010] Time 0.333 (0.328) Data 0.001 (0.001) Loss 1.4294 (1.3372) Prec@1 64.062 (68.845) Prec@5 86.719 (87.180) Epoch: [89][5750/10010] Time 0.314 (0.328) Data 0.001 (0.001) Loss 1.2855 (1.3372) Prec@1 67.969 (68.846) Prec@5 88.281 (87.180) Epoch: [89][5760/10010] Time 0.336 (0.328) Data 0.000 (0.001) Loss 1.5470 (1.3373) Prec@1 62.500 (68.842) Prec@5 78.906 (87.179) Epoch: [89][5770/10010] Time 0.336 (0.328) Data 0.001 (0.001) Loss 1.1703 (1.3373) Prec@1 71.094 (68.842) Prec@5 90.625 (87.178) Epoch: [89][5780/10010] Time 0.316 (0.328) Data 0.001 (0.001) Loss 1.2012 (1.3372) Prec@1 69.531 (68.841) Prec@5 92.969 (87.180) Epoch: [89][5790/10010] Time 0.339 (0.328) Data 0.001 (0.001) Loss 1.3805 (1.3372) Prec@1 71.094 (68.841) Prec@5 87.500 (87.181) Epoch: [89][5800/10010] Time 0.314 (0.328) Data 0.001 (0.001) Loss 1.3944 (1.3371) Prec@1 68.750 (68.844) Prec@5 86.719 (87.182) Epoch: [89][5810/10010] Time 0.324 (0.328) Data 0.000 (0.001) Loss 1.2939 (1.3370) Prec@1 69.531 (68.846) Prec@5 88.281 (87.184) Epoch: [89][5820/10010] Time 0.337 (0.328) Data 0.001 (0.001) Loss 1.2291 (1.3370) Prec@1 69.531 (68.848) Prec@5 87.500 (87.185) Epoch: [89][5830/10010] Time 0.324 (0.328) Data 0.000 (0.001) Loss 1.1808 (1.3370) Prec@1 77.344 (68.849) Prec@5 91.406 (87.186) Epoch: [89][5840/10010] Time 0.325 (0.328) Data 0.001 (0.001) Loss 1.2748 (1.3370) Prec@1 71.875 (68.851) Prec@5 87.500 (87.185) Epoch: [89][5850/10010] Time 0.334 (0.328) Data 0.001 (0.001) Loss 1.2230 (1.3371) Prec@1 71.094 (68.849) Prec@5 86.719 (87.184) Epoch: [89][5860/10010] Time 0.330 (0.328) Data 0.001 (0.001) Loss 1.2851 (1.3370) Prec@1 71.875 (68.852) Prec@5 87.500 (87.185) Epoch: [89][5870/10010] Time 0.335 (0.328) Data 0.001 (0.001) Loss 1.1739 (1.3371) Prec@1 72.656 (68.850) Prec@5 92.188 (87.186) Epoch: [89][5880/10010] Time 0.339 (0.328) Data 0.000 (0.001) Loss 1.4358 (1.3370) Prec@1 69.531 (68.851) Prec@5 85.938 (87.185) Epoch: [89][5890/10010] Time 0.330 (0.328) Data 0.001 (0.001) Loss 0.9559 (1.3371) Prec@1 78.125 (68.850) Prec@5 91.406 (87.184) Epoch: [89][5900/10010] Time 0.335 (0.328) Data 0.001 (0.001) Loss 1.2114 (1.3370) Prec@1 72.656 (68.854) Prec@5 88.281 (87.183) Epoch: [89][5910/10010] Time 0.338 (0.328) Data 0.000 (0.001) Loss 1.2777 (1.3370) Prec@1 68.750 (68.854) Prec@5 91.406 (87.185) Epoch: [89][5920/10010] Time 0.321 (0.328) Data 0.001 (0.001) Loss 1.3017 (1.3369) Prec@1 70.312 (68.855) Prec@5 88.281 (87.184) Epoch: [89][5930/10010] Time 0.326 (0.328) Data 0.001 (0.001) Loss 1.3232 (1.3369) Prec@1 67.188 (68.856) Prec@5 89.062 (87.182) Epoch: [89][5940/10010] Time 0.322 (0.328) Data 0.001 (0.001) Loss 1.4491 (1.3370) Prec@1 64.844 (68.853) Prec@5 82.812 (87.176) Epoch: [89][5950/10010] Time 0.331 (0.328) Data 0.000 (0.001) Loss 1.3467 (1.3371) Prec@1 74.219 (68.855) Prec@5 85.156 (87.174) Epoch: [89][5960/10010] Time 0.331 (0.328) Data 0.001 (0.001) Loss 1.2471 (1.3370) Prec@1 67.969 (68.855) Prec@5 87.500 (87.175) Epoch: [89][5970/10010] Time 0.327 (0.328) Data 0.000 (0.001) Loss 1.4429 (1.3371) Prec@1 66.406 (68.854) Prec@5 82.812 (87.174) Epoch: [89][5980/10010] Time 0.327 (0.328) Data 0.000 (0.001) Loss 1.2354 (1.3372) Prec@1 67.969 (68.852) Prec@5 89.062 (87.174) Epoch: [89][5990/10010] Time 0.315 (0.328) Data 0.001 (0.001) Loss 1.4094 (1.3372) Prec@1 71.094 (68.851) Prec@5 88.281 (87.173) Epoch: [89][6000/10010] Time 0.329 (0.328) Data 0.001 (0.001) Loss 1.1528 (1.3371) Prec@1 71.875 (68.853) Prec@5 92.188 (87.174) Epoch: [89][6010/10010] Time 0.313 (0.328) Data 0.001 (0.001) Loss 1.2211 (1.3370) Prec@1 67.188 (68.854) Prec@5 86.719 (87.174) Epoch: [89][6020/10010] Time 0.341 (0.328) Data 0.001 (0.001) Loss 1.0625 (1.3370) Prec@1 71.094 (68.854) Prec@5 94.531 (87.175) Epoch: [89][6030/10010] Time 0.322 (0.328) Data 0.001 (0.001) Loss 1.3858 (1.3370) Prec@1 67.969 (68.853) Prec@5 86.719 (87.175) Epoch: [89][6040/10010] Time 0.325 (0.328) Data 0.001 (0.001) Loss 1.5689 (1.3371) Prec@1 64.062 (68.850) Prec@5 81.250 (87.175) Epoch: [89][6050/10010] Time 0.324 (0.328) Data 0.001 (0.001) Loss 1.5521 (1.3371) Prec@1 62.500 (68.849) Prec@5 82.031 (87.173) Epoch: [89][6060/10010] Time 0.334 (0.328) Data 0.001 (0.001) Loss 1.2670 (1.3372) Prec@1 71.875 (68.849) Prec@5 88.281 (87.172) Epoch: [89][6070/10010] Time 0.325 (0.328) Data 0.000 (0.001) Loss 1.2944 (1.3373) Prec@1 71.875 (68.846) Prec@5 88.281 (87.171) Epoch: [89][6080/10010] Time 0.341 (0.328) Data 0.001 (0.001) Loss 1.1936 (1.3373) Prec@1 73.438 (68.846) Prec@5 87.500 (87.169) Epoch: [89][6090/10010] Time 0.321 (0.328) Data 0.001 (0.001) Loss 1.2204 (1.3374) Prec@1 72.656 (68.847) Prec@5 86.719 (87.168) Epoch: [89][6100/10010] Time 0.337 (0.328) Data 0.000 (0.001) Loss 1.2182 (1.3373) Prec@1 68.750 (68.848) Prec@5 87.500 (87.168) Epoch: [89][6110/10010] Time 0.335 (0.328) Data 0.001 (0.001) Loss 1.4335 (1.3375) Prec@1 64.062 (68.844) Prec@5 86.719 (87.167) Epoch: [89][6120/10010] Time 0.318 (0.328) Data 0.001 (0.001) Loss 1.1411 (1.3375) Prec@1 72.656 (68.846) Prec@5 89.062 (87.168) Epoch: [89][6130/10010] Time 0.341 (0.328) Data 0.001 (0.001) Loss 1.2931 (1.3376) Prec@1 63.281 (68.840) Prec@5 90.625 (87.167) Epoch: [89][6140/10010] Time 0.316 (0.328) Data 0.001 (0.001) Loss 1.7461 (1.3376) Prec@1 57.031 (68.839) Prec@5 84.375 (87.167) Epoch: [89][6150/10010] Time 0.319 (0.328) Data 0.001 (0.001) Loss 1.4173 (1.3375) Prec@1 68.750 (68.843) Prec@5 86.719 (87.170) Epoch: [89][6160/10010] Time 0.321 (0.328) Data 0.000 (0.001) Loss 1.2367 (1.3375) Prec@1 69.531 (68.843) Prec@5 88.281 (87.170) Epoch: [89][6170/10010] Time 0.341 (0.328) Data 0.000 (0.001) Loss 1.5765 (1.3376) Prec@1 62.500 (68.840) Prec@5 85.938 (87.168) Epoch: [89][6180/10010] Time 0.319 (0.328) Data 0.001 (0.001) Loss 1.4210 (1.3374) Prec@1 68.750 (68.843) Prec@5 85.938 (87.170) Epoch: [89][6190/10010] Time 0.321 (0.328) Data 0.000 (0.001) Loss 1.4155 (1.3374) Prec@1 70.312 (68.845) Prec@5 85.938 (87.170) Epoch: [89][6200/10010] Time 0.329 (0.328) Data 0.001 (0.001) Loss 1.1780 (1.3375) Prec@1 71.094 (68.843) Prec@5 89.844 (87.170) Epoch: [89][6210/10010] Time 0.319 (0.328) Data 0.001 (0.001) Loss 1.2664 (1.3374) Prec@1 69.531 (68.846) Prec@5 85.938 (87.171) Epoch: [89][6220/10010] Time 0.322 (0.328) Data 0.001 (0.001) Loss 1.3516 (1.3375) Prec@1 67.969 (68.844) Prec@5 85.156 (87.170) Epoch: [89][6230/10010] Time 0.341 (0.328) Data 0.000 (0.001) Loss 1.2710 (1.3375) Prec@1 71.094 (68.845) Prec@5 89.062 (87.171) Epoch: [89][6240/10010] Time 0.331 (0.328) Data 0.000 (0.001) Loss 1.4049 (1.3374) Prec@1 66.406 (68.848) Prec@5 85.938 (87.175) Epoch: [89][6250/10010] Time 0.322 (0.328) Data 0.000 (0.001) Loss 1.5615 (1.3374) Prec@1 64.062 (68.845) Prec@5 82.812 (87.171) Epoch: [89][6260/10010] Time 0.336 (0.328) Data 0.001 (0.001) Loss 1.3210 (1.3374) Prec@1 66.406 (68.846) Prec@5 85.938 (87.172) Epoch: [89][6270/10010] Time 0.324 (0.328) Data 0.000 (0.001) Loss 1.3689 (1.3375) Prec@1 70.312 (68.844) Prec@5 88.281 (87.171) Epoch: [89][6280/10010] Time 0.325 (0.328) Data 0.001 (0.001) Loss 1.1375 (1.3373) Prec@1 70.312 (68.849) Prec@5 89.844 (87.174) Epoch: [89][6290/10010] Time 0.333 (0.328) Data 0.001 (0.001) Loss 1.2784 (1.3373) Prec@1 68.750 (68.848) Prec@5 91.406 (87.175) Epoch: [89][6300/10010] Time 0.326 (0.328) Data 0.001 (0.001) Loss 1.3956 (1.3373) Prec@1 69.531 (68.846) Prec@5 85.156 (87.173) Epoch: [89][6310/10010] Time 0.338 (0.328) Data 0.001 (0.001) Loss 1.1467 (1.3373) Prec@1 70.312 (68.847) Prec@5 92.969 (87.174) Epoch: [89][6320/10010] Time 0.322 (0.328) Data 0.001 (0.001) Loss 1.2301 (1.3373) Prec@1 70.312 (68.848) Prec@5 91.406 (87.174) Epoch: [89][6330/10010] Time 0.341 (0.328) Data 0.001 (0.001) Loss 1.2018 (1.3374) Prec@1 67.188 (68.848) Prec@5 88.281 (87.176) Epoch: [89][6340/10010] Time 0.329 (0.328) Data 0.001 (0.001) Loss 1.2987 (1.3373) Prec@1 71.875 (68.851) Prec@5 88.281 (87.178) Epoch: [89][6350/10010] Time 0.326 (0.328) Data 0.001 (0.001) Loss 1.6517 (1.3374) Prec@1 66.406 (68.849) Prec@5 85.156 (87.177) Epoch: [89][6360/10010] Time 0.341 (0.328) Data 0.001 (0.001) Loss 1.2028 (1.3373) Prec@1 72.656 (68.850) Prec@5 84.375 (87.177) Epoch: [89][6370/10010] Time 0.341 (0.328) Data 0.001 (0.001) Loss 1.5324 (1.3373) Prec@1 67.969 (68.850) Prec@5 86.719 (87.177) Epoch: [89][6380/10010] Time 0.320 (0.328) Data 0.001 (0.001) Loss 1.2168 (1.3371) Prec@1 74.219 (68.855) Prec@5 91.406 (87.182) Epoch: [89][6390/10010] Time 0.340 (0.328) Data 0.000 (0.001) Loss 1.5815 (1.3371) Prec@1 62.500 (68.854) Prec@5 83.594 (87.183) Epoch: [89][6400/10010] Time 0.332 (0.328) Data 0.000 (0.001) Loss 1.1080 (1.3371) Prec@1 74.219 (68.855) Prec@5 89.062 (87.182) Epoch: [89][6410/10010] Time 0.320 (0.328) Data 0.001 (0.001) Loss 1.2988 (1.3371) Prec@1 71.875 (68.855) Prec@5 86.719 (87.182) Epoch: [89][6420/10010] Time 0.318 (0.328) Data 0.001 (0.001) Loss 1.4763 (1.3371) Prec@1 67.188 (68.855) Prec@5 84.375 (87.183) Epoch: [89][6430/10010] Time 0.323 (0.328) Data 0.001 (0.001) Loss 1.4913 (1.3372) Prec@1 67.188 (68.853) Prec@5 84.375 (87.180) Epoch: [89][6440/10010] Time 0.326 (0.328) Data 0.001 (0.001) Loss 1.3868 (1.3371) Prec@1 67.969 (68.853) Prec@5 85.938 (87.181) Epoch: [89][6450/10010] Time 0.332 (0.328) Data 0.001 (0.001) Loss 1.2927 (1.3371) Prec@1 71.094 (68.854) Prec@5 88.281 (87.182) Epoch: [89][6460/10010] Time 0.325 (0.328) Data 0.001 (0.001) Loss 1.2648 (1.3370) Prec@1 71.875 (68.854) Prec@5 86.719 (87.181) Epoch: [89][6470/10010] Time 0.326 (0.328) Data 0.001 (0.001) Loss 1.3735 (1.3370) Prec@1 71.094 (68.856) Prec@5 89.844 (87.182) Epoch: [89][6480/10010] Time 0.320 (0.328) Data 0.000 (0.001) Loss 1.3656 (1.3369) Prec@1 66.406 (68.856) Prec@5 85.156 (87.184) Epoch: [89][6490/10010] Time 0.319 (0.328) Data 0.001 (0.001) Loss 0.9584 (1.3368) Prec@1 78.906 (68.861) Prec@5 89.844 (87.187) Epoch: [89][6500/10010] Time 0.330 (0.328) Data 0.001 (0.001) Loss 1.1260 (1.3368) Prec@1 71.875 (68.861) Prec@5 92.969 (87.186) Epoch: [89][6510/10010] Time 0.323 (0.328) Data 0.001 (0.001) Loss 1.2100 (1.3367) Prec@1 71.875 (68.861) Prec@5 88.281 (87.188) Epoch: [89][6520/10010] Time 0.321 (0.328) Data 0.000 (0.001) Loss 1.4933 (1.3366) Prec@1 64.844 (68.864) Prec@5 87.500 (87.188) Epoch: [89][6530/10010] Time 0.315 (0.328) Data 0.001 (0.001) Loss 1.2453 (1.3367) Prec@1 74.219 (68.863) Prec@5 86.719 (87.186) Epoch: [89][6540/10010] Time 0.332 (0.328) Data 0.001 (0.001) Loss 1.4271 (1.3368) Prec@1 70.312 (68.861) Prec@5 85.938 (87.185) Epoch: [89][6550/10010] Time 0.330 (0.328) Data 0.001 (0.001) Loss 1.4011 (1.3369) Prec@1 62.500 (68.856) Prec@5 88.281 (87.183) Epoch: [89][6560/10010] Time 0.334 (0.328) Data 0.001 (0.001) Loss 1.3589 (1.3369) Prec@1 72.656 (68.853) Prec@5 88.281 (87.183) Epoch: [89][6570/10010] Time 0.326 (0.328) Data 0.001 (0.001) Loss 1.3479 (1.3369) Prec@1 68.750 (68.853) Prec@5 84.375 (87.182) Epoch: [89][6580/10010] Time 0.319 (0.328) Data 0.001 (0.001) Loss 1.4701 (1.3371) Prec@1 65.625 (68.850) Prec@5 86.719 (87.179) Epoch: [89][6590/10010] Time 0.318 (0.328) Data 0.001 (0.001) Loss 1.3765 (1.3370) Prec@1 66.406 (68.851) Prec@5 89.062 (87.180) Epoch: [89][6600/10010] Time 0.321 (0.328) Data 0.001 (0.001) Loss 0.9319 (1.3369) Prec@1 83.594 (68.854) Prec@5 92.188 (87.182) Epoch: [89][6610/10010] Time 0.335 (0.328) Data 0.000 (0.001) Loss 1.2879 (1.3369) Prec@1 66.406 (68.854) Prec@5 84.375 (87.182) Epoch: [89][6620/10010] Time 0.335 (0.328) Data 0.000 (0.001) Loss 1.3296 (1.3368) Prec@1 72.656 (68.857) Prec@5 87.500 (87.182) Epoch: [89][6630/10010] Time 0.341 (0.328) Data 0.001 (0.001) Loss 1.1447 (1.3369) Prec@1 75.781 (68.855) Prec@5 89.062 (87.182) Epoch: [89][6640/10010] Time 0.319 (0.328) Data 0.000 (0.001) Loss 1.3919 (1.3370) Prec@1 68.750 (68.850) Prec@5 89.844 (87.179) Epoch: [89][6650/10010] Time 0.323 (0.328) Data 0.001 (0.001) Loss 1.3465 (1.3371) Prec@1 66.406 (68.848) Prec@5 87.500 (87.179) Epoch: [89][6660/10010] Time 0.320 (0.328) Data 0.000 (0.001) Loss 1.0596 (1.3371) Prec@1 75.000 (68.847) Prec@5 91.406 (87.179) Epoch: [89][6670/10010] Time 0.321 (0.328) Data 0.000 (0.001) Loss 1.3908 (1.3372) Prec@1 67.188 (68.845) Prec@5 84.375 (87.179) Epoch: [89][6680/10010] Time 0.326 (0.328) Data 0.001 (0.001) Loss 1.5196 (1.3372) Prec@1 66.406 (68.846) Prec@5 85.156 (87.178) Epoch: [89][6690/10010] Time 0.326 (0.328) Data 0.000 (0.001) Loss 1.1401 (1.3373) Prec@1 71.875 (68.843) Prec@5 92.188 (87.179) Epoch: [89][6700/10010] Time 0.318 (0.328) Data 0.001 (0.001) Loss 1.4808 (1.3374) Prec@1 64.844 (68.842) Prec@5 82.812 (87.176) Epoch: [89][6710/10010] Time 0.330 (0.328) Data 0.001 (0.001) Loss 1.2036 (1.3374) Prec@1 74.219 (68.838) Prec@5 88.281 (87.174) Epoch: [89][6720/10010] Time 0.342 (0.328) Data 0.001 (0.001) Loss 1.2089 (1.3373) Prec@1 76.562 (68.843) Prec@5 89.062 (87.177) Epoch: [89][6730/10010] Time 0.331 (0.328) Data 0.001 (0.001) Loss 1.4433 (1.3373) Prec@1 64.062 (68.842) Prec@5 83.594 (87.177) Epoch: [89][6740/10010] Time 0.330 (0.328) Data 0.001 (0.001) Loss 1.2779 (1.3373) Prec@1 72.656 (68.842) Prec@5 87.500 (87.178) Epoch: [89][6750/10010] Time 0.321 (0.328) Data 0.001 (0.001) Loss 1.3677 (1.3374) Prec@1 69.531 (68.843) Prec@5 86.719 (87.176) Epoch: [89][6760/10010] Time 0.332 (0.328) Data 0.001 (0.001) Loss 0.9493 (1.3373) Prec@1 75.781 (68.845) Prec@5 93.750 (87.177) Epoch: [89][6770/10010] Time 0.336 (0.328) Data 0.001 (0.001) Loss 1.4157 (1.3374) Prec@1 66.406 (68.843) Prec@5 85.156 (87.176) Epoch: [89][6780/10010] Time 0.313 (0.328) Data 0.000 (0.001) Loss 1.1557 (1.3375) Prec@1 71.875 (68.843) Prec@5 89.062 (87.175) Epoch: [89][6790/10010] Time 0.325 (0.328) Data 0.001 (0.001) Loss 1.5492 (1.3376) Prec@1 61.719 (68.841) Prec@5 83.594 (87.172) Epoch: [89][6800/10010] Time 0.330 (0.328) Data 0.001 (0.001) Loss 1.2542 (1.3375) Prec@1 71.094 (68.845) Prec@5 88.281 (87.173) Epoch: [89][6810/10010] Time 0.316 (0.328) Data 0.001 (0.001) Loss 1.2865 (1.3373) Prec@1 72.656 (68.848) Prec@5 89.062 (87.175) Epoch: [89][6820/10010] Time 0.325 (0.328) Data 0.001 (0.001) Loss 1.2029 (1.3374) Prec@1 69.531 (68.845) Prec@5 89.844 (87.174) Epoch: [89][6830/10010] Time 0.328 (0.328) Data 0.001 (0.001) Loss 1.6909 (1.3375) Prec@1 64.844 (68.843) Prec@5 81.250 (87.173) Epoch: [89][6840/10010] Time 0.323 (0.328) Data 0.001 (0.001) Loss 1.6549 (1.3376) Prec@1 65.625 (68.840) Prec@5 81.250 (87.171) Epoch: [89][6850/10010] Time 0.319 (0.328) Data 0.001 (0.001) Loss 1.2410 (1.3378) Prec@1 67.969 (68.838) Prec@5 91.406 (87.169) Epoch: [89][6860/10010] Time 0.326 (0.328) Data 0.001 (0.001) Loss 1.2817 (1.3377) Prec@1 69.531 (68.838) Prec@5 89.062 (87.169) Epoch: [89][6870/10010] Time 0.337 (0.328) Data 0.001 (0.001) Loss 1.3643 (1.3377) Prec@1 67.188 (68.837) Prec@5 86.719 (87.169) Epoch: [89][6880/10010] Time 0.334 (0.328) Data 0.001 (0.001) Loss 1.2654 (1.3377) Prec@1 69.531 (68.836) Prec@5 89.844 (87.171) Epoch: [89][6890/10010] Time 0.330 (0.328) Data 0.001 (0.001) Loss 1.2203 (1.3377) Prec@1 70.312 (68.837) Prec@5 90.625 (87.172) Epoch: [89][6900/10010] Time 0.317 (0.328) Data 0.001 (0.001) Loss 1.2690 (1.3376) Prec@1 75.000 (68.839) Prec@5 88.281 (87.172) Epoch: [89][6910/10010] Time 0.327 (0.328) Data 0.001 (0.001) Loss 1.2547 (1.3376) Prec@1 66.406 (68.837) Prec@5 88.281 (87.172) Epoch: [89][6920/10010] Time 0.339 (0.328) Data 0.000 (0.001) Loss 1.2145 (1.3377) Prec@1 75.781 (68.836) Prec@5 89.062 (87.170) Epoch: [89][6930/10010] Time 0.343 (0.328) Data 0.001 (0.001) Loss 1.4890 (1.3378) Prec@1 59.375 (68.832) Prec@5 81.250 (87.167) Epoch: [89][6940/10010] Time 0.319 (0.328) Data 0.001 (0.001) Loss 1.3697 (1.3377) Prec@1 65.625 (68.833) Prec@5 86.719 (87.169) Epoch: [89][6950/10010] Time 0.317 (0.328) Data 0.001 (0.001) Loss 1.6462 (1.3378) Prec@1 64.844 (68.833) Prec@5 80.469 (87.166) Epoch: [89][6960/10010] Time 0.317 (0.328) Data 0.001 (0.001) Loss 1.6483 (1.3378) Prec@1 60.156 (68.834) Prec@5 83.594 (87.166) Epoch: [89][6970/10010] Time 0.324 (0.328) Data 0.001 (0.001) Loss 1.1958 (1.3376) Prec@1 67.188 (68.838) Prec@5 89.844 (87.169) Epoch: [89][6980/10010] Time 0.333 (0.328) Data 0.001 (0.001) Loss 1.4813 (1.3378) Prec@1 65.625 (68.836) Prec@5 85.156 (87.166) Epoch: [89][6990/10010] Time 0.318 (0.328) Data 0.002 (0.001) Loss 1.1705 (1.3377) Prec@1 70.312 (68.838) Prec@5 88.281 (87.168) Epoch: [89][7000/10010] Time 0.339 (0.328) Data 0.001 (0.001) Loss 1.2836 (1.3377) Prec@1 67.188 (68.836) Prec@5 87.500 (87.168) Epoch: [89][7010/10010] Time 0.322 (0.328) Data 0.001 (0.001) Loss 1.6808 (1.3378) Prec@1 65.625 (68.835) Prec@5 82.031 (87.166) Epoch: [89][7020/10010] Time 0.324 (0.328) Data 0.000 (0.001) Loss 1.4883 (1.3378) Prec@1 63.281 (68.834) Prec@5 83.594 (87.166) Epoch: [89][7030/10010] Time 0.317 (0.328) Data 0.001 (0.001) Loss 1.6068 (1.3378) Prec@1 60.156 (68.833) Prec@5 86.719 (87.166) Epoch: [89][7040/10010] Time 0.334 (0.328) Data 0.000 (0.001) Loss 1.2794 (1.3378) Prec@1 71.875 (68.833) Prec@5 87.500 (87.166) Epoch: [89][7050/10010] Time 0.316 (0.328) Data 0.001 (0.001) Loss 1.3192 (1.3378) Prec@1 66.406 (68.830) Prec@5 85.156 (87.166) Epoch: [89][7060/10010] Time 0.336 (0.328) Data 0.001 (0.001) Loss 1.1593 (1.3377) Prec@1 71.094 (68.833) Prec@5 90.625 (87.168) Epoch: [89][7070/10010] Time 0.341 (0.328) Data 0.000 (0.001) Loss 1.4229 (1.3378) Prec@1 65.625 (68.831) Prec@5 87.500 (87.166) Epoch: [89][7080/10010] Time 0.329 (0.328) Data 0.000 (0.001) Loss 1.3151 (1.3378) Prec@1 66.406 (68.830) Prec@5 88.281 (87.167) Epoch: [89][7090/10010] Time 0.333 (0.328) Data 0.001 (0.001) Loss 1.4253 (1.3378) Prec@1 64.844 (68.829) Prec@5 85.938 (87.166) Epoch: [89][7100/10010] Time 0.316 (0.328) Data 0.000 (0.001) Loss 1.0079 (1.3380) Prec@1 75.781 (68.827) Prec@5 92.188 (87.164) Epoch: [89][7110/10010] Time 0.332 (0.328) Data 0.001 (0.001) Loss 1.2252 (1.3380) Prec@1 71.094 (68.828) Prec@5 89.062 (87.165) Epoch: [89][7120/10010] Time 0.317 (0.328) Data 0.001 (0.001) Loss 1.1906 (1.3380) Prec@1 68.750 (68.826) Prec@5 89.844 (87.165) Epoch: [89][7130/10010] Time 0.330 (0.328) Data 0.001 (0.001) Loss 1.4669 (1.3382) Prec@1 64.844 (68.822) Prec@5 85.938 (87.164) Epoch: [89][7140/10010] Time 0.333 (0.328) Data 0.000 (0.001) Loss 1.4819 (1.3383) Prec@1 64.844 (68.817) Prec@5 85.156 (87.162) Epoch: [89][7150/10010] Time 0.338 (0.328) Data 0.001 (0.001) Loss 1.4946 (1.3384) Prec@1 62.500 (68.816) Prec@5 83.594 (87.161) Epoch: [89][7160/10010] Time 0.320 (0.328) Data 0.001 (0.001) Loss 1.3342 (1.3384) Prec@1 65.625 (68.815) Prec@5 86.719 (87.162) Epoch: [89][7170/10010] Time 0.333 (0.328) Data 0.001 (0.001) Loss 1.1272 (1.3384) Prec@1 73.438 (68.814) Prec@5 89.062 (87.161) Epoch: [89][7180/10010] Time 0.339 (0.328) Data 0.001 (0.001) Loss 1.0966 (1.3385) Prec@1 73.438 (68.811) Prec@5 92.188 (87.159) Epoch: [89][7190/10010] Time 0.318 (0.328) Data 0.001 (0.001) Loss 1.4380 (1.3385) Prec@1 66.406 (68.811) Prec@5 85.156 (87.159) Epoch: [89][7200/10010] Time 0.334 (0.328) Data 0.001 (0.001) Loss 1.5401 (1.3385) Prec@1 67.969 (68.810) Prec@5 85.156 (87.159) Epoch: [89][7210/10010] Time 0.330 (0.328) Data 0.001 (0.001) Loss 1.4727 (1.3385) Prec@1 64.844 (68.806) Prec@5 84.375 (87.159) Epoch: [89][7220/10010] Time 0.332 (0.328) Data 0.001 (0.001) Loss 1.4272 (1.3383) Prec@1 68.750 (68.809) Prec@5 89.062 (87.161) Epoch: [89][7230/10010] Time 0.341 (0.328) Data 0.000 (0.001) Loss 1.5896 (1.3384) Prec@1 63.281 (68.807) Prec@5 82.031 (87.160) Epoch: [89][7240/10010] Time 0.340 (0.328) Data 0.001 (0.001) Loss 1.1588 (1.3384) Prec@1 75.781 (68.805) Prec@5 92.188 (87.159) Epoch: [89][7250/10010] Time 0.337 (0.328) Data 0.001 (0.001) Loss 1.2738 (1.3384) Prec@1 68.750 (68.806) Prec@5 90.625 (87.159) Epoch: [89][7260/10010] Time 0.341 (0.328) Data 0.001 (0.001) Loss 1.4921 (1.3384) Prec@1 66.406 (68.806) Prec@5 87.500 (87.160) Epoch: [89][7270/10010] Time 0.337 (0.328) Data 0.001 (0.001) Loss 1.4245 (1.3384) Prec@1 66.406 (68.806) Prec@5 88.281 (87.162) Epoch: [89][7280/10010] Time 0.339 (0.328) Data 0.001 (0.001) Loss 1.5406 (1.3384) Prec@1 65.625 (68.807) Prec@5 85.938 (87.163) Epoch: [89][7290/10010] Time 0.320 (0.328) Data 0.001 (0.001) Loss 1.7155 (1.3386) Prec@1 64.844 (68.805) Prec@5 82.031 (87.162) Epoch: [89][7300/10010] Time 0.332 (0.328) Data 0.001 (0.001) Loss 1.2001 (1.3385) Prec@1 68.750 (68.808) Prec@5 90.625 (87.162) Epoch: [89][7310/10010] Time 0.337 (0.328) Data 0.001 (0.001) Loss 1.3302 (1.3385) Prec@1 64.844 (68.806) Prec@5 87.500 (87.161) Epoch: [89][7320/10010] Time 0.332 (0.328) Data 0.001 (0.001) Loss 1.3235 (1.3384) Prec@1 67.969 (68.809) Prec@5 88.281 (87.162) Epoch: [89][7330/10010] Time 0.322 (0.328) Data 0.001 (0.001) Loss 1.2703 (1.3384) Prec@1 71.094 (68.810) Prec@5 88.281 (87.162) Epoch: [89][7340/10010] Time 0.318 (0.328) Data 0.001 (0.001) Loss 1.3880 (1.3385) Prec@1 67.188 (68.809) Prec@5 87.500 (87.161) Epoch: [89][7350/10010] Time 0.318 (0.328) Data 0.001 (0.001) Loss 1.1683 (1.3384) Prec@1 72.656 (68.810) Prec@5 89.844 (87.161) Epoch: [89][7360/10010] Time 0.331 (0.328) Data 0.000 (0.001) Loss 1.2718 (1.3385) Prec@1 72.656 (68.809) Prec@5 89.844 (87.161) Epoch: [89][7370/10010] Time 0.336 (0.328) Data 0.001 (0.001) Loss 1.3743 (1.3385) Prec@1 67.188 (68.809) Prec@5 85.938 (87.161) Epoch: [89][7380/10010] Time 0.323 (0.328) Data 0.001 (0.001) Loss 1.0201 (1.3385) Prec@1 77.344 (68.811) Prec@5 92.188 (87.163) Epoch: [89][7390/10010] Time 0.332 (0.328) Data 0.001 (0.001) Loss 1.1651 (1.3384) Prec@1 71.875 (68.810) Prec@5 89.844 (87.162) Epoch: [89][7400/10010] Time 0.317 (0.328) Data 0.001 (0.001) Loss 1.3238 (1.3384) Prec@1 71.094 (68.810) Prec@5 88.281 (87.162) Epoch: [89][7410/10010] Time 0.322 (0.328) Data 0.001 (0.001) Loss 1.4296 (1.3386) Prec@1 61.719 (68.805) Prec@5 85.938 (87.160) Epoch: [89][7420/10010] Time 0.328 (0.328) Data 0.001 (0.001) Loss 1.3846 (1.3385) Prec@1 71.875 (68.808) Prec@5 88.281 (87.160) Epoch: [89][7430/10010] Time 0.321 (0.328) Data 0.001 (0.001) Loss 1.1894 (1.3386) Prec@1 67.969 (68.806) Prec@5 89.062 (87.158) Epoch: [89][7440/10010] Time 0.343 (0.328) Data 0.000 (0.001) Loss 1.3211 (1.3387) Prec@1 71.875 (68.806) Prec@5 89.062 (87.157) Epoch: [89][7450/10010] Time 0.312 (0.328) Data 0.006 (0.001) Loss 1.3754 (1.3386) Prec@1 71.094 (68.808) Prec@5 84.375 (87.158) Epoch: [89][7460/10010] Time 0.321 (0.328) Data 0.001 (0.001) Loss 1.2396 (1.3385) Prec@1 67.969 (68.808) Prec@5 85.938 (87.159) Epoch: [89][7470/10010] Time 0.319 (0.328) Data 0.001 (0.001) Loss 0.9585 (1.3384) Prec@1 78.906 (68.811) Prec@5 92.188 (87.160) Epoch: [89][7480/10010] Time 0.332 (0.328) Data 0.000 (0.001) Loss 1.4768 (1.3384) Prec@1 68.750 (68.813) Prec@5 85.156 (87.161) Epoch: [89][7490/10010] Time 0.333 (0.328) Data 0.001 (0.001) Loss 1.4332 (1.3382) Prec@1 65.625 (68.817) Prec@5 85.156 (87.163) Epoch: [89][7500/10010] Time 0.338 (0.328) Data 0.001 (0.001) Loss 1.3861 (1.3382) Prec@1 64.844 (68.817) Prec@5 85.156 (87.163) Epoch: [89][7510/10010] Time 0.340 (0.328) Data 0.001 (0.001) Loss 1.2435 (1.3383) Prec@1 71.094 (68.814) Prec@5 86.719 (87.161) Epoch: [89][7520/10010] Time 0.327 (0.328) Data 0.001 (0.001) Loss 1.1970 (1.3383) Prec@1 69.531 (68.814) Prec@5 86.719 (87.160) Epoch: [89][7530/10010] Time 0.317 (0.328) Data 0.001 (0.001) Loss 1.3633 (1.3382) Prec@1 64.844 (68.815) Prec@5 88.281 (87.160) Epoch: [89][7540/10010] Time 0.336 (0.328) Data 0.000 (0.001) Loss 1.3182 (1.3384) Prec@1 69.531 (68.811) Prec@5 87.500 (87.157) Epoch: [89][7550/10010] Time 0.329 (0.328) Data 0.001 (0.001) Loss 0.9528 (1.3383) Prec@1 77.344 (68.812) Prec@5 90.625 (87.158) Epoch: [89][7560/10010] Time 0.312 (0.328) Data 0.001 (0.001) Loss 1.1690 (1.3384) Prec@1 72.656 (68.811) Prec@5 92.188 (87.158) Epoch: [89][7570/10010] Time 0.323 (0.328) Data 0.001 (0.001) Loss 1.3439 (1.3384) Prec@1 69.531 (68.810) Prec@5 88.281 (87.158) Epoch: [89][7580/10010] Time 0.333 (0.328) Data 0.001 (0.001) Loss 1.4236 (1.3382) Prec@1 67.188 (68.813) Prec@5 84.375 (87.161) Epoch: [89][7590/10010] Time 0.341 (0.328) Data 0.000 (0.001) Loss 1.5131 (1.3382) Prec@1 63.281 (68.813) Prec@5 84.375 (87.161) Epoch: [89][7600/10010] Time 0.328 (0.328) Data 0.001 (0.001) Loss 1.6782 (1.3382) Prec@1 66.406 (68.813) Prec@5 80.469 (87.160) Epoch: [89][7610/10010] Time 0.329 (0.328) Data 0.001 (0.001) Loss 1.3360 (1.3381) Prec@1 67.188 (68.814) Prec@5 88.281 (87.162) Epoch: [89][7620/10010] Time 0.337 (0.328) Data 0.001 (0.001) Loss 1.3891 (1.3381) Prec@1 66.406 (68.815) Prec@5 87.500 (87.161) Epoch: [89][7630/10010] Time 0.333 (0.328) Data 0.001 (0.001) Loss 1.4693 (1.3382) Prec@1 65.625 (68.814) Prec@5 85.938 (87.160) Epoch: [89][7640/10010] Time 0.334 (0.328) Data 0.001 (0.001) Loss 1.4361 (1.3383) Prec@1 70.312 (68.813) Prec@5 82.812 (87.159) Epoch: [89][7650/10010] Time 0.317 (0.328) Data 0.001 (0.001) Loss 1.4188 (1.3384) Prec@1 65.625 (68.812) Prec@5 87.500 (87.157) Epoch: [89][7660/10010] Time 0.327 (0.328) Data 0.001 (0.001) Loss 1.5224 (1.3385) Prec@1 64.062 (68.809) Prec@5 85.938 (87.156) Epoch: [89][7670/10010] Time 0.317 (0.328) Data 0.001 (0.001) Loss 1.4697 (1.3384) Prec@1 70.312 (68.810) Prec@5 83.594 (87.155) Epoch: [89][7680/10010] Time 0.320 (0.328) Data 0.001 (0.001) Loss 1.4353 (1.3384) Prec@1 71.094 (68.813) Prec@5 86.719 (87.155) Epoch: [89][7690/10010] Time 0.326 (0.328) Data 0.000 (0.001) Loss 1.3879 (1.3384) Prec@1 67.188 (68.810) Prec@5 85.938 (87.155) Epoch: [89][7700/10010] Time 0.315 (0.328) Data 0.000 (0.001) Loss 1.5996 (1.3385) Prec@1 62.500 (68.806) Prec@5 83.594 (87.153) Epoch: [89][7710/10010] Time 0.341 (0.328) Data 0.001 (0.001) Loss 1.4674 (1.3386) Prec@1 67.969 (68.805) Prec@5 86.719 (87.152) Epoch: [89][7720/10010] Time 0.335 (0.328) Data 0.001 (0.001) Loss 1.2677 (1.3385) Prec@1 71.094 (68.808) Prec@5 86.719 (87.154) Epoch: [89][7730/10010] Time 0.333 (0.328) Data 0.001 (0.001) Loss 1.1112 (1.3384) Prec@1 71.875 (68.810) Prec@5 90.625 (87.155) /data/vision/torralba/deepscene/lib/anaconda2/lib/python2.7/site-packages/PIL/TiffImagePlugin.py:692: UserWarning: Possibly corrupt EXIF data. Expecting to read 2555904 bytes but only got 0. Skipping tag 0 "Skipping tag %s" % (size, len(data), tag)) Epoch: [89][7740/10010] Time 0.323 (0.328) Data 0.000 (0.001) Loss 1.2651 (1.3383) Prec@1 71.875 (68.812) Prec@5 89.062 (87.154) Epoch: [89][7750/10010] Time 0.318 (0.328) Data 0.001 (0.001) Loss 1.3038 (1.3384) Prec@1 67.969 (68.812) Prec@5 86.719 (87.153) Epoch: [89][7760/10010] Time 0.331 (0.328) Data 0.000 (0.001) Loss 1.0935 (1.3384) Prec@1 75.781 (68.812) Prec@5 89.844 (87.153) Epoch: [89][7770/10010] Time 0.341 (0.328) Data 0.001 (0.001) Loss 1.5930 (1.3384) Prec@1 59.375 (68.810) Prec@5 82.031 (87.152) Epoch: [89][7780/10010] Time 0.334 (0.328) Data 0.001 (0.001) Loss 1.2066 (1.3384) Prec@1 71.094 (68.809) Prec@5 89.062 (87.153) Epoch: [89][7790/10010] Time 0.320 (0.328) Data 0.000 (0.001) Loss 1.2636 (1.3383) Prec@1 72.656 (68.809) Prec@5 87.500 (87.154) Epoch: [89][7800/10010] Time 0.316 (0.328) Data 0.000 (0.001) Loss 1.3570 (1.3383) Prec@1 67.188 (68.810) Prec@5 87.500 (87.154) Epoch: [89][7810/10010] Time 0.315 (0.328) Data 0.001 (0.001) Loss 1.3580 (1.3383) Prec@1 67.969 (68.812) Prec@5 88.281 (87.154) Epoch: [89][7820/10010] Time 0.326 (0.328) Data 0.001 (0.001) Loss 1.3373 (1.3382) Prec@1 67.188 (68.812) Prec@5 89.062 (87.155) Epoch: [89][7830/10010] Time 0.312 (0.328) Data 0.001 (0.001) Loss 1.3403 (1.3383) Prec@1 66.406 (68.809) Prec@5 86.719 (87.154) Epoch: [89][7840/10010] Time 0.322 (0.328) Data 0.001 (0.001) Loss 1.0711 (1.3382) Prec@1 72.656 (68.812) Prec@5 91.406 (87.156) Epoch: [89][7850/10010] Time 0.327 (0.328) Data 0.001 (0.001) Loss 1.5902 (1.3383) Prec@1 61.719 (68.809) Prec@5 83.594 (87.156) Epoch: [89][7860/10010] Time 0.316 (0.328) Data 0.001 (0.001) Loss 1.2687 (1.3383) Prec@1 72.656 (68.811) Prec@5 88.281 (87.157) Epoch: [89][7870/10010] Time 0.332 (0.328) Data 0.001 (0.001) Loss 1.3301 (1.3382) Prec@1 67.188 (68.812) Prec@5 89.062 (87.157) Epoch: [89][7880/10010] Time 0.332 (0.328) Data 0.001 (0.001) Loss 1.2126 (1.3382) Prec@1 66.406 (68.812) Prec@5 89.062 (87.157) Epoch: [89][7890/10010] Time 0.336 (0.328) Data 0.001 (0.001) Loss 1.3841 (1.3382) Prec@1 65.625 (68.811) Prec@5 82.812 (87.157) Epoch: [89][7900/10010] Time 0.326 (0.328) Data 0.001 (0.001) Loss 0.9589 (1.3382) Prec@1 71.875 (68.811) Prec@5 93.750 (87.157) Epoch: [89][7910/10010] Time 0.321 (0.328) Data 0.001 (0.001) Loss 1.6337 (1.3382) Prec@1 66.406 (68.811) Prec@5 82.031 (87.156) Epoch: [89][7920/10010] Time 0.335 (0.328) Data 0.001 (0.001) Loss 1.4648 (1.3383) Prec@1 68.750 (68.811) Prec@5 85.156 (87.154) /data/vision/torralba/deepscene/lib/anaconda2/lib/python2.7/site-packages/PIL/TiffImagePlugin.py:692: UserWarning: Possibly corrupt EXIF data. Expecting to read 2555904 bytes but only got 0. Skipping tag 0 "Skipping tag %s" % (size, len(data), tag)) Epoch: [89][7930/10010] Time 0.336 (0.328) Data 0.001 (0.001) Loss 1.5064 (1.3383) Prec@1 64.844 (68.812) Prec@5 85.938 (87.155) Epoch: [89][7940/10010] Time 0.324 (0.328) Data 0.001 (0.001) Loss 1.3034 (1.3382) Prec@1 70.312 (68.813) Prec@5 85.156 (87.154) Epoch: [89][7950/10010] Time 0.342 (0.328) Data 0.001 (0.001) Loss 1.2603 (1.3383) Prec@1 71.875 (68.811) Prec@5 88.281 (87.153) Epoch: [89][7960/10010] Time 0.338 (0.328) Data 0.001 (0.001) Loss 1.4190 (1.3383) Prec@1 62.500 (68.808) Prec@5 88.281 (87.152) Epoch: [89][7970/10010] Time 0.332 (0.328) Data 0.001 (0.001) Loss 1.3130 (1.3383) Prec@1 71.875 (68.810) Prec@5 85.938 (87.152) Epoch: [89][7980/10010] Time 0.320 (0.328) Data 0.001 (0.001) Loss 1.3309 (1.3383) Prec@1 60.938 (68.809) Prec@5 87.500 (87.152) Epoch: [89][7990/10010] Time 0.338 (0.328) Data 0.000 (0.001) Loss 1.0533 (1.3383) Prec@1 76.562 (68.809) Prec@5 89.844 (87.150) Epoch: [89][8000/10010] Time 0.339 (0.328) Data 0.001 (0.001) Loss 1.3540 (1.3383) Prec@1 69.531 (68.809) Prec@5 85.938 (87.151) Epoch: [89][8010/10010] Time 0.319 (0.328) Data 0.000 (0.001) Loss 1.4868 (1.3384) Prec@1 67.188 (68.809) Prec@5 84.375 (87.150) Epoch: [89][8020/10010] Time 0.334 (0.328) Data 0.001 (0.001) Loss 1.3004 (1.3383) Prec@1 69.531 (68.812) Prec@5 89.844 (87.151) Epoch: [89][8030/10010] Time 0.343 (0.328) Data 0.000 (0.001) Loss 1.7098 (1.3384) Prec@1 64.844 (68.811) Prec@5 81.250 (87.151) Epoch: [89][8040/10010] Time 0.322 (0.328) Data 0.001 (0.001) Loss 1.5129 (1.3384) Prec@1 61.719 (68.809) Prec@5 87.500 (87.151) Epoch: [89][8050/10010] Time 0.316 (0.328) Data 0.001 (0.001) Loss 1.1250 (1.3385) Prec@1 72.656 (68.809) Prec@5 88.281 (87.151) Epoch: [89][8060/10010] Time 0.338 (0.328) Data 0.001 (0.001) Loss 1.3663 (1.3384) Prec@1 66.406 (68.810) Prec@5 86.719 (87.152) Epoch: [89][8070/10010] Time 0.323 (0.328) Data 0.001 (0.001) Loss 0.8925 (1.3383) Prec@1 81.250 (68.811) Prec@5 95.312 (87.154) Epoch: [89][8080/10010] Time 0.318 (0.328) Data 0.001 (0.001) Loss 1.3552 (1.3383) Prec@1 65.625 (68.814) Prec@5 86.719 (87.154) Epoch: [89][8090/10010] Time 0.341 (0.328) Data 0.001 (0.001) Loss 1.3651 (1.3384) Prec@1 72.656 (68.814) Prec@5 84.375 (87.153) Epoch: [89][8100/10010] Time 0.314 (0.328) Data 0.000 (0.001) Loss 1.3813 (1.3384) Prec@1 70.312 (68.814) Prec@5 85.156 (87.152) Epoch: [89][8110/10010] Time 0.327 (0.328) Data 0.001 (0.001) Loss 1.5015 (1.3384) Prec@1 67.969 (68.816) Prec@5 84.375 (87.151) Epoch: [89][8120/10010] Time 0.335 (0.328) Data 0.001 (0.001) Loss 1.3687 (1.3384) Prec@1 68.750 (68.816) Prec@5 89.062 (87.151) Epoch: [89][8130/10010] Time 0.338 (0.328) Data 0.000 (0.001) Loss 1.2127 (1.3386) Prec@1 73.438 (68.815) Prec@5 87.500 (87.149) Epoch: [89][8140/10010] Time 0.325 (0.328) Data 0.001 (0.001) Loss 1.1853 (1.3385) Prec@1 73.438 (68.815) Prec@5 91.406 (87.150) Epoch: [89][8150/10010] Time 0.332 (0.328) Data 0.001 (0.001) Loss 1.1248 (1.3386) Prec@1 75.000 (68.814) Prec@5 91.406 (87.148) Epoch: [89][8160/10010] Time 0.336 (0.328) Data 0.001 (0.001) Loss 1.6502 (1.3386) Prec@1 63.281 (68.815) Prec@5 82.812 (87.149) Epoch: [89][8170/10010] Time 0.317 (0.328) Data 0.001 (0.001) Loss 0.9746 (1.3385) Prec@1 78.906 (68.817) Prec@5 93.750 (87.151) Epoch: [89][8180/10010] Time 0.317 (0.328) Data 0.001 (0.001) Loss 1.7175 (1.3385) Prec@1 55.469 (68.815) Prec@5 80.469 (87.150) Epoch: [89][8190/10010] Time 0.338 (0.328) Data 0.001 (0.001) Loss 1.5740 (1.3384) Prec@1 63.281 (68.816) Prec@5 85.156 (87.151) Epoch: [89][8200/10010] Time 0.335 (0.328) Data 0.000 (0.001) Loss 1.1376 (1.3385) Prec@1 69.531 (68.815) Prec@5 91.406 (87.150) Epoch: [89][8210/10010] Time 0.328 (0.328) Data 0.001 (0.001) Loss 1.4195 (1.3386) Prec@1 71.875 (68.816) Prec@5 84.375 (87.149) Epoch: [89][8220/10010] Time 0.325 (0.328) Data 0.001 (0.001) Loss 1.2401 (1.3386) Prec@1 70.312 (68.814) Prec@5 90.625 (87.150) Epoch: [89][8230/10010] Time 0.324 (0.328) Data 0.001 (0.001) Loss 1.2413 (1.3385) Prec@1 67.188 (68.815) Prec@5 89.062 (87.151) Epoch: [89][8240/10010] Time 0.329 (0.328) Data 0.001 (0.001) Loss 1.4318 (1.3385) Prec@1 66.406 (68.814) Prec@5 86.719 (87.152) Epoch: [89][8250/10010] Time 0.325 (0.328) Data 0.001 (0.001) Loss 1.3462 (1.3385) Prec@1 70.312 (68.814) Prec@5 88.281 (87.153) Epoch: [89][8260/10010] Time 0.319 (0.328) Data 0.001 (0.001) Loss 1.5872 (1.3385) Prec@1 64.062 (68.814) Prec@5 82.812 (87.152) Epoch: [89][8270/10010] Time 0.321 (0.328) Data 0.001 (0.001) Loss 1.3247 (1.3385) Prec@1 71.094 (68.814) Prec@5 89.062 (87.151) Epoch: [89][8280/10010] Time 0.328 (0.328) Data 0.001 (0.001) Loss 1.1509 (1.3385) Prec@1 71.094 (68.814) Prec@5 87.500 (87.151) Epoch: [89][8290/10010] Time 0.316 (0.328) Data 0.001 (0.001) Loss 1.4935 (1.3386) Prec@1 67.969 (68.814) Prec@5 83.594 (87.150) Epoch: [89][8300/10010] Time 0.339 (0.328) Data 0.000 (0.001) Loss 1.3014 (1.3387) Prec@1 71.875 (68.812) Prec@5 86.719 (87.149) Epoch: [89][8310/10010] Time 0.313 (0.328) Data 0.001 (0.001) Loss 1.3658 (1.3387) Prec@1 67.188 (68.811) Prec@5 88.281 (87.149) Epoch: [89][8320/10010] Time 0.317 (0.328) Data 0.001 (0.001) Loss 1.4557 (1.3387) Prec@1 66.406 (68.810) Prec@5 86.719 (87.148) Epoch: [89][8330/10010] Time 0.338 (0.328) Data 0.001 (0.001) Loss 1.2955 (1.3388) Prec@1 68.750 (68.807) Prec@5 88.281 (87.147) Epoch: [89][8340/10010] Time 0.343 (0.328) Data 0.001 (0.001) Loss 1.1445 (1.3389) Prec@1 71.094 (68.808) Prec@5 92.188 (87.145) Epoch: [89][8350/10010] Time 0.337 (0.328) Data 0.000 (0.001) Loss 1.1109 (1.3389) Prec@1 76.562 (68.809) Prec@5 89.844 (87.146) Epoch: [89][8360/10010] Time 0.324 (0.328) Data 0.000 (0.001) Loss 1.0340 (1.3388) Prec@1 74.219 (68.810) Prec@5 90.625 (87.147) Epoch: [89][8370/10010] Time 0.328 (0.328) Data 0.001 (0.001) Loss 1.6894 (1.3389) Prec@1 60.938 (68.810) Prec@5 75.781 (87.145) Epoch: [89][8380/10010] Time 0.319 (0.328) Data 0.001 (0.001) Loss 1.5393 (1.3389) Prec@1 65.625 (68.811) Prec@5 86.719 (87.145) Epoch: [89][8390/10010] Time 0.322 (0.328) Data 0.001 (0.001) Loss 1.4825 (1.3389) Prec@1 64.844 (68.809) Prec@5 85.156 (87.144) Epoch: [89][8400/10010] Time 0.330 (0.328) Data 0.001 (0.001) Loss 1.4154 (1.3389) Prec@1 61.719 (68.810) Prec@5 89.062 (87.146) Epoch: [89][8410/10010] Time 0.318 (0.328) Data 0.001 (0.001) Loss 1.2032 (1.3389) Prec@1 69.531 (68.810) Prec@5 86.719 (87.145) Epoch: [89][8420/10010] Time 0.331 (0.328) Data 0.001 (0.001) Loss 1.2539 (1.3388) Prec@1 70.312 (68.811) Prec@5 87.500 (87.146) Epoch: [89][8430/10010] Time 0.342 (0.328) Data 0.001 (0.001) Loss 1.3000 (1.3389) Prec@1 70.312 (68.810) Prec@5 89.844 (87.146) Epoch: [89][8440/10010] Time 0.329 (0.328) Data 0.001 (0.001) Loss 1.0873 (1.3389) Prec@1 73.438 (68.810) Prec@5 90.625 (87.145) Epoch: [89][8450/10010] Time 0.333 (0.328) Data 0.000 (0.001) Loss 1.3697 (1.3390) Prec@1 65.625 (68.808) Prec@5 83.594 (87.144) Epoch: [89][8460/10010] Time 0.324 (0.328) Data 0.001 (0.001) Loss 0.9383 (1.3389) Prec@1 74.219 (68.810) Prec@5 91.406 (87.145) Epoch: [89][8470/10010] Time 0.337 (0.328) Data 0.001 (0.001) Loss 1.4805 (1.3389) Prec@1 66.406 (68.811) Prec@5 85.938 (87.145) Epoch: [89][8480/10010] Time 0.333 (0.328) Data 0.001 (0.001) Loss 1.1469 (1.3389) Prec@1 76.562 (68.812) Prec@5 85.938 (87.144) Epoch: [89][8490/10010] Time 0.338 (0.328) Data 0.001 (0.001) Loss 1.4410 (1.3389) Prec@1 64.844 (68.812) Prec@5 85.156 (87.144) Epoch: [89][8500/10010] Time 0.326 (0.328) Data 0.000 (0.001) Loss 1.5084 (1.3389) Prec@1 64.062 (68.812) Prec@5 86.719 (87.145) Epoch: [89][8510/10010] Time 0.328 (0.328) Data 0.001 (0.001) Loss 1.1961 (1.3389) Prec@1 72.656 (68.813) Prec@5 86.719 (87.144) Epoch: [89][8520/10010] Time 0.315 (0.328) Data 0.001 (0.001) Loss 1.5562 (1.3388) Prec@1 60.938 (68.814) Prec@5 85.938 (87.145) Epoch: [89][8530/10010] Time 0.324 (0.328) Data 0.000 (0.001) Loss 1.2090 (1.3387) Prec@1 72.656 (68.817) Prec@5 89.844 (87.148) Epoch: [89][8540/10010] Time 0.323 (0.328) Data 0.000 (0.001) Loss 1.5740 (1.3387) Prec@1 63.281 (68.816) Prec@5 82.031 (87.148) Epoch: [89][8550/10010] Time 0.329 (0.328) Data 0.001 (0.001) Loss 1.2599 (1.3388) Prec@1 69.531 (68.813) Prec@5 89.062 (87.147) Epoch: [89][8560/10010] Time 0.319 (0.328) Data 0.001 (0.001) Loss 1.3395 (1.3388) Prec@1 66.406 (68.813) Prec@5 89.062 (87.147) Epoch: [89][8570/10010] Time 0.340 (0.328) Data 0.001 (0.001) Loss 1.3258 (1.3389) Prec@1 69.531 (68.813) Prec@5 89.062 (87.147) Epoch: [89][8580/10010] Time 0.330 (0.328) Data 0.001 (0.001) Loss 1.4527 (1.3389) Prec@1 68.750 (68.812) Prec@5 85.156 (87.145) Epoch: [89][8590/10010] Time 0.336 (0.328) Data 0.001 (0.001) Loss 1.4866 (1.3389) Prec@1 69.531 (68.812) Prec@5 83.594 (87.145) Epoch: [89][8600/10010] Time 0.338 (0.328) Data 0.001 (0.001) Loss 1.4016 (1.3390) Prec@1 67.969 (68.811) Prec@5 85.156 (87.143) Epoch: [89][8610/10010] Time 0.330 (0.328) Data 0.000 (0.001) Loss 1.1553 (1.3390) Prec@1 69.531 (68.812) Prec@5 89.062 (87.144) Epoch: [89][8620/10010] Time 0.324 (0.328) Data 0.001 (0.001) Loss 1.4509 (1.3390) Prec@1 63.281 (68.811) Prec@5 85.156 (87.144) Epoch: [89][8630/10010] Time 0.328 (0.328) Data 0.001 (0.001) Loss 1.5364 (1.3390) Prec@1 65.625 (68.810) Prec@5 86.719 (87.142) Epoch: [89][8640/10010] Time 0.324 (0.328) Data 0.000 (0.001) Loss 1.3633 (1.3391) Prec@1 72.656 (68.809) Prec@5 83.594 (87.141) /data/vision/torralba/deepscene/lib/anaconda2/lib/python2.7/site-packages/PIL/TiffImagePlugin.py:692: UserWarning: Possibly corrupt EXIF data. Expecting to read 2555904 bytes but only got 0. Skipping tag 0 "Skipping tag %s" % (size, len(data), tag)) Epoch: [89][8650/10010] Time 0.313 (0.328) Data 0.001 (0.001) Loss 1.5301 (1.3392) Prec@1 60.156 (68.806) Prec@5 85.938 (87.140) Epoch: [89][8660/10010] Time 0.312 (0.328) Data 0.002 (0.001) Loss 1.5857 (1.3392) Prec@1 60.156 (68.805) Prec@5 84.375 (87.140) Epoch: [89][8670/10010] Time 0.312 (0.328) Data 0.001 (0.001) Loss 1.3374 (1.3392) Prec@1 67.188 (68.805) Prec@5 86.719 (87.140) Epoch: [89][8680/10010] Time 0.328 (0.328) Data 0.001 (0.001) Loss 1.1480 (1.3392) Prec@1 72.656 (68.807) Prec@5 86.719 (87.139) Epoch: [89][8690/10010] Time 0.326 (0.328) Data 0.001 (0.001) Loss 1.1004 (1.3392) Prec@1 73.438 (68.808) Prec@5 92.188 (87.140) Epoch: [89][8700/10010] Time 0.325 (0.328) Data 0.000 (0.001) Loss 1.2485 (1.3392) Prec@1 71.875 (68.808) Prec@5 89.062 (87.140) Epoch: [89][8710/10010] Time 0.319 (0.328) Data 0.001 (0.001) Loss 1.2977 (1.3391) Prec@1 70.312 (68.808) Prec@5 87.500 (87.140) Epoch: [89][8720/10010] Time 0.335 (0.328) Data 0.001 (0.001) Loss 1.4417 (1.3392) Prec@1 64.844 (68.806) Prec@5 85.156 (87.141) Epoch: [89][8730/10010] Time 0.320 (0.328) Data 0.001 (0.001) Loss 1.1837 (1.3392) Prec@1 70.312 (68.806) Prec@5 91.406 (87.141) Epoch: [89][8740/10010] Time 0.321 (0.328) Data 0.001 (0.001) Loss 1.3496 (1.3391) Prec@1 68.750 (68.809) Prec@5 89.062 (87.142) Epoch: [89][8750/10010] Time 0.320 (0.328) Data 0.001 (0.001) Loss 1.2911 (1.3392) Prec@1 71.875 (68.809) Prec@5 88.281 (87.141) Epoch: [89][8760/10010] Time 0.313 (0.328) Data 0.000 (0.001) Loss 1.4879 (1.3392) Prec@1 62.500 (68.809) Prec@5 86.719 (87.142) Epoch: [89][8770/10010] Time 0.334 (0.328) Data 0.001 (0.001) Loss 1.3362 (1.3392) Prec@1 70.312 (68.809) Prec@5 89.844 (87.143) Epoch: [89][8780/10010] Time 0.336 (0.328) Data 0.000 (0.001) Loss 1.5082 (1.3392) Prec@1 67.969 (68.807) Prec@5 86.719 (87.142) Epoch: [89][8790/10010] Time 0.327 (0.328) Data 0.001 (0.001) Loss 1.4751 (1.3393) Prec@1 66.406 (68.808) Prec@5 85.938 (87.142) Epoch: [89][8800/10010] Time 0.338 (0.328) Data 0.000 (0.001) Loss 1.0242 (1.3391) Prec@1 74.219 (68.811) Prec@5 92.188 (87.143) Epoch: [89][8810/10010] Time 0.330 (0.328) Data 0.001 (0.001) Loss 1.4041 (1.3391) Prec@1 72.656 (68.812) Prec@5 86.719 (87.144) Epoch: [89][8820/10010] Time 0.318 (0.328) Data 0.001 (0.001) Loss 1.1105 (1.3390) Prec@1 71.094 (68.813) Prec@5 92.969 (87.146) Epoch: [89][8830/10010] Time 0.336 (0.328) Data 0.000 (0.001) Loss 1.3521 (1.3390) Prec@1 68.750 (68.811) Prec@5 88.281 (87.146) Epoch: [89][8840/10010] Time 0.340 (0.328) Data 0.001 (0.001) Loss 1.5890 (1.3391) Prec@1 61.719 (68.809) Prec@5 85.938 (87.145) Epoch: [89][8850/10010] Time 0.340 (0.328) Data 0.001 (0.001) Loss 1.2817 (1.3392) Prec@1 72.656 (68.808) Prec@5 86.719 (87.143) Epoch: [89][8860/10010] Time 0.333 (0.328) Data 0.001 (0.001) Loss 1.3531 (1.3392) Prec@1 65.625 (68.809) Prec@5 87.500 (87.143) Epoch: [89][8870/10010] Time 0.337 (0.328) Data 0.001 (0.001) Loss 1.6194 (1.3393) Prec@1 53.906 (68.807) Prec@5 85.938 (87.143) Epoch: [89][8880/10010] Time 0.322 (0.328) Data 0.001 (0.001) Loss 1.0950 (1.3392) Prec@1 69.531 (68.808) Prec@5 90.625 (87.144) Epoch: [89][8890/10010] Time 0.323 (0.328) Data 0.001 (0.001) Loss 1.3430 (1.3392) Prec@1 67.188 (68.809) Prec@5 88.281 (87.143) Epoch: [89][8900/10010] Time 0.326 (0.328) Data 0.001 (0.001) Loss 1.2949 (1.3392) Prec@1 68.750 (68.810) Prec@5 90.625 (87.144) Epoch: [89][8910/10010] Time 0.315 (0.328) Data 0.001 (0.001) Loss 1.5315 (1.3393) Prec@1 64.062 (68.806) Prec@5 88.281 (87.142) Epoch: [89][8920/10010] Time 0.320 (0.328) Data 0.001 (0.001) Loss 1.2680 (1.3393) Prec@1 69.531 (68.806) Prec@5 91.406 (87.144) Epoch: [89][8930/10010] Time 0.322 (0.328) Data 0.001 (0.001) Loss 1.3955 (1.3393) Prec@1 65.625 (68.805) Prec@5 89.062 (87.143) Epoch: [89][8940/10010] Time 0.338 (0.328) Data 0.001 (0.001) Loss 1.4760 (1.3393) Prec@1 65.625 (68.804) Prec@5 85.938 (87.143) Epoch: [89][8950/10010] Time 0.329 (0.328) Data 0.001 (0.001) Loss 1.2536 (1.3393) Prec@1 71.875 (68.805) Prec@5 90.625 (87.144) Epoch: [89][8960/10010] Time 0.313 (0.328) Data 0.001 (0.001) Loss 1.2849 (1.3394) Prec@1 67.969 (68.805) Prec@5 91.406 (87.144) Epoch: [89][8970/10010] Time 0.322 (0.328) Data 0.001 (0.001) Loss 0.9974 (1.3394) Prec@1 72.656 (68.804) Prec@5 92.188 (87.143) Epoch: [89][8980/10010] Time 0.326 (0.328) Data 0.001 (0.001) Loss 1.1781 (1.3393) Prec@1 69.531 (68.805) Prec@5 92.188 (87.144) Epoch: [89][8990/10010] Time 0.320 (0.328) Data 0.001 (0.001) Loss 1.1468 (1.3393) Prec@1 72.656 (68.802) Prec@5 92.188 (87.144) Epoch: [89][9000/10010] Time 0.318 (0.328) Data 0.001 (0.001) Loss 1.1320 (1.3393) Prec@1 72.656 (68.804) Prec@5 92.188 (87.146) Epoch: [89][9010/10010] Time 0.316 (0.328) Data 0.001 (0.001) Loss 0.9912 (1.3393) Prec@1 70.312 (68.804) Prec@5 92.969 (87.148) Epoch: [89][9020/10010] Time 0.322 (0.328) Data 0.000 (0.001) Loss 1.4864 (1.3392) Prec@1 67.969 (68.805) Prec@5 87.500 (87.148) Epoch: [89][9030/10010] Time 0.331 (0.328) Data 0.001 (0.001) Loss 1.4400 (1.3394) Prec@1 67.969 (68.802) Prec@5 88.281 (87.146) Epoch: [89][9040/10010] Time 0.333 (0.328) Data 0.000 (0.001) Loss 1.3710 (1.3393) Prec@1 66.406 (68.803) Prec@5 83.594 (87.146) Epoch: [89][9050/10010] Time 0.338 (0.328) Data 0.001 (0.001) Loss 1.3568 (1.3394) Prec@1 66.406 (68.802) Prec@5 87.500 (87.146) Epoch: [89][9060/10010] Time 0.333 (0.328) Data 0.001 (0.001) Loss 1.5303 (1.3394) Prec@1 63.281 (68.802) Prec@5 86.719 (87.146) Epoch: [89][9070/10010] Time 0.330 (0.328) Data 0.001 (0.001) Loss 1.4075 (1.3394) Prec@1 64.062 (68.803) Prec@5 88.281 (87.146) Epoch: [89][9080/10010] Time 0.330 (0.328) Data 0.001 (0.001) Loss 1.3876 (1.3394) Prec@1 61.719 (68.802) Prec@5 86.719 (87.146) Epoch: [89][9090/10010] Time 0.322 (0.328) Data 0.000 (0.001) Loss 1.7429 (1.3395) Prec@1 64.844 (68.801) Prec@5 82.812 (87.145) Epoch: [89][9100/10010] Time 0.322 (0.328) Data 0.001 (0.001) Loss 1.2569 (1.3395) Prec@1 67.188 (68.802) Prec@5 89.062 (87.145) Epoch: [89][9110/10010] Time 0.333 (0.328) Data 0.000 (0.001) Loss 1.3365 (1.3395) Prec@1 67.188 (68.801) Prec@5 85.938 (87.144) Epoch: [89][9120/10010] Time 0.316 (0.328) Data 0.001 (0.001) Loss 1.4928 (1.3395) Prec@1 70.312 (68.802) Prec@5 83.594 (87.145) Epoch: [89][9130/10010] Time 0.317 (0.328) Data 0.000 (0.001) Loss 1.2136 (1.3395) Prec@1 77.344 (68.803) Prec@5 89.844 (87.144) Epoch: [89][9140/10010] Time 0.319 (0.328) Data 0.001 (0.001) Loss 1.4015 (1.3396) Prec@1 69.531 (68.803) Prec@5 85.156 (87.144) Epoch: [89][9150/10010] Time 0.339 (0.328) Data 0.001 (0.001) Loss 1.5364 (1.3396) Prec@1 64.844 (68.804) Prec@5 85.156 (87.143) Epoch: [89][9160/10010] Time 0.342 (0.328) Data 0.001 (0.001) Loss 1.2504 (1.3396) Prec@1 69.531 (68.802) Prec@5 89.062 (87.144) Epoch: [89][9170/10010] Time 0.319 (0.328) Data 0.001 (0.001) Loss 1.3696 (1.3396) Prec@1 67.188 (68.804) Prec@5 82.812 (87.144) Epoch: [89][9180/10010] Time 0.332 (0.328) Data 0.001 (0.001) Loss 1.2858 (1.3397) Prec@1 68.750 (68.803) Prec@5 87.500 (87.142) Epoch: [89][9190/10010] Time 0.316 (0.328) Data 0.000 (0.001) Loss 1.3735 (1.3397) Prec@1 68.750 (68.802) Prec@5 83.594 (87.141) Epoch: [89][9200/10010] Time 0.317 (0.329) Data 0.010 (0.002) Loss 1.3168 (1.3397) Prec@1 69.531 (68.802) Prec@5 85.938 (87.140) Epoch: [89][9210/10010] Time 0.314 (0.329) Data 0.000 (0.002) Loss 1.3551 (1.3398) Prec@1 75.000 (68.801) Prec@5 87.500 (87.139) Epoch: [89][9220/10010] Time 0.315 (0.329) Data 0.001 (0.002) Loss 1.6144 (1.3398) Prec@1 66.406 (68.802) Prec@5 84.375 (87.140) Epoch: [89][9230/10010] Time 0.319 (0.329) Data 0.000 (0.002) Loss 1.5446 (1.3398) Prec@1 64.062 (68.801) Prec@5 84.375 (87.139) Epoch: [89][9240/10010] Time 0.315 (0.329) Data 0.000 (0.002) Loss 1.7286 (1.3400) Prec@1 63.281 (68.798) Prec@5 78.125 (87.137) Epoch: [89][9250/10010] Time 0.315 (0.329) Data 0.000 (0.002) Loss 1.4661 (1.3399) Prec@1 64.844 (68.798) Prec@5 86.719 (87.138) Epoch: [89][9260/10010] Time 0.315 (0.329) Data 0.000 (0.002) Loss 1.2562 (1.3400) Prec@1 71.094 (68.799) Prec@5 86.719 (87.137) Epoch: [89][9270/10010] Time 0.319 (0.329) Data 0.001 (0.002) Loss 1.5518 (1.3400) Prec@1 71.094 (68.798) Prec@5 85.156 (87.137) Epoch: [89][9280/10010] Time 0.338 (0.329) Data 0.000 (0.002) Loss 1.5596 (1.3401) Prec@1 64.844 (68.798) Prec@5 84.375 (87.136) Epoch: [89][9290/10010] Time 0.319 (0.329) Data 0.001 (0.002) Loss 1.3412 (1.3400) Prec@1 65.625 (68.799) Prec@5 89.844 (87.137) Epoch: [89][9300/10010] Time 0.315 (0.329) Data 0.000 (0.002) Loss 1.5811 (1.3401) Prec@1 64.844 (68.797) Prec@5 81.250 (87.136) Epoch: [89][9310/10010] Time 0.323 (0.329) Data 0.001 (0.002) Loss 1.2371 (1.3401) Prec@1 75.000 (68.796) Prec@5 87.500 (87.136) Epoch: [89][9320/10010] Time 0.327 (0.329) Data 0.001 (0.002) Loss 1.2216 (1.3401) Prec@1 73.438 (68.796) Prec@5 87.500 (87.136) Epoch: [89][9330/10010] Time 0.334 (0.329) Data 0.001 (0.002) Loss 1.4853 (1.3401) Prec@1 65.625 (68.796) Prec@5 85.938 (87.136) Epoch: [89][9340/10010] Time 0.338 (0.329) Data 0.001 (0.002) Loss 1.2687 (1.3402) Prec@1 72.656 (68.796) Prec@5 89.062 (87.135) Epoch: [89][9350/10010] Time 0.325 (0.329) Data 0.000 (0.002) Loss 1.5814 (1.3402) Prec@1 62.500 (68.797) Prec@5 84.375 (87.134) Epoch: [89][9360/10010] Time 0.331 (0.329) Data 0.000 (0.002) Loss 1.2473 (1.3402) Prec@1 70.312 (68.797) Prec@5 90.625 (87.135) Epoch: [89][9370/10010] Time 0.320 (0.329) Data 0.000 (0.002) Loss 1.1945 (1.3402) Prec@1 72.656 (68.797) Prec@5 87.500 (87.135) Epoch: [89][9380/10010] Time 0.334 (0.329) Data 0.001 (0.002) Loss 1.6052 (1.3403) Prec@1 57.812 (68.794) Prec@5 84.375 (87.134) Epoch: [89][9390/10010] Time 0.339 (0.329) Data 0.001 (0.002) Loss 1.3386 (1.3403) Prec@1 64.062 (68.794) Prec@5 89.062 (87.134) Epoch: [89][9400/10010] Time 0.320 (0.329) Data 0.000 (0.002) Loss 1.3576 (1.3403) Prec@1 66.406 (68.793) Prec@5 85.938 (87.133) Epoch: [89][9410/10010] Time 0.324 (0.329) Data 0.001 (0.002) Loss 1.1867 (1.3402) Prec@1 71.875 (68.796) Prec@5 90.625 (87.133) Epoch: [89][9420/10010] Time 0.321 (0.329) Data 0.001 (0.002) Loss 1.4181 (1.3402) Prec@1 66.406 (68.795) Prec@5 86.719 (87.134) Epoch: [89][9430/10010] Time 0.335 (0.329) Data 0.001 (0.002) Loss 1.1459 (1.3403) Prec@1 71.875 (68.794) Prec@5 88.281 (87.133) Epoch: [89][9440/10010] Time 0.334 (0.329) Data 0.001 (0.002) Loss 0.9481 (1.3402) Prec@1 77.344 (68.794) Prec@5 91.406 (87.133) Epoch: [89][9450/10010] Time 0.337 (0.329) Data 0.001 (0.002) Loss 1.3145 (1.3402) Prec@1 66.406 (68.793) Prec@5 89.844 (87.133) Epoch: [89][9460/10010] Time 0.333 (0.329) Data 0.001 (0.002) Loss 1.4995 (1.3402) Prec@1 68.750 (68.793) Prec@5 85.156 (87.133) Epoch: [89][9470/10010] Time 0.335 (0.329) Data 0.001 (0.002) Loss 1.2914 (1.3402) Prec@1 73.438 (68.793) Prec@5 88.281 (87.133) Epoch: [89][9480/10010] Time 0.321 (0.329) Data 0.001 (0.002) Loss 1.6734 (1.3404) Prec@1 63.281 (68.791) Prec@5 83.594 (87.132) Epoch: [89][9490/10010] Time 0.312 (0.329) Data 0.001 (0.002) Loss 1.4295 (1.3404) Prec@1 65.625 (68.790) Prec@5 88.281 (87.130) Epoch: [89][9500/10010] Time 0.330 (0.329) Data 0.001 (0.002) Loss 1.1886 (1.3404) Prec@1 72.656 (68.791) Prec@5 89.062 (87.130) Epoch: [89][9510/10010] Time 0.333 (0.329) Data 0.001 (0.002) Loss 1.2938 (1.3403) Prec@1 71.094 (68.792) Prec@5 85.156 (87.132) Epoch: [89][9520/10010] Time 0.313 (0.329) Data 0.001 (0.002) Loss 1.5091 (1.3404) Prec@1 63.281 (68.791) Prec@5 85.938 (87.130) Epoch: [89][9530/10010] Time 0.319 (0.329) Data 0.000 (0.002) Loss 1.4230 (1.3404) Prec@1 67.188 (68.792) Prec@5 89.062 (87.130) Epoch: [89][9540/10010] Time 0.341 (0.329) Data 0.001 (0.002) Loss 1.5509 (1.3404) Prec@1 65.625 (68.792) Prec@5 82.812 (87.130) Epoch: [89][9550/10010] Time 0.321 (0.329) Data 0.001 (0.002) Loss 1.2756 (1.3405) Prec@1 70.312 (68.791) Prec@5 88.281 (87.129) Epoch: [89][9560/10010] Time 0.336 (0.329) Data 0.001 (0.002) Loss 1.2272 (1.3405) Prec@1 72.656 (68.792) Prec@5 88.281 (87.129) Epoch: [89][9570/10010] Time 0.323 (0.329) Data 0.001 (0.002) Loss 1.6924 (1.3405) Prec@1 64.844 (68.794) Prec@5 79.688 (87.129) Epoch: [89][9580/10010] Time 0.329 (0.329) Data 0.001 (0.002) Loss 1.7777 (1.3406) Prec@1 55.469 (68.791) Prec@5 81.250 (87.128) Epoch: [89][9590/10010] Time 0.324 (0.329) Data 0.000 (0.002) Loss 1.2048 (1.3406) Prec@1 72.656 (68.791) Prec@5 89.844 (87.127) Epoch: [89][9600/10010] Time 0.338 (0.329) Data 0.001 (0.002) Loss 1.0820 (1.3406) Prec@1 76.562 (68.791) Prec@5 91.406 (87.127) Epoch: [89][9610/10010] Time 0.337 (0.329) Data 0.001 (0.002) Loss 1.5232 (1.3407) Prec@1 67.188 (68.791) Prec@5 85.156 (87.126) Epoch: [89][9620/10010] Time 0.315 (0.329) Data 0.001 (0.002) Loss 1.3317 (1.3407) Prec@1 67.969 (68.791) Prec@5 90.625 (87.127) Epoch: [89][9630/10010] Time 0.331 (0.329) Data 0.001 (0.002) Loss 1.1835 (1.3406) Prec@1 69.531 (68.791) Prec@5 87.500 (87.126) Epoch: [89][9640/10010] Time 0.322 (0.329) Data 0.001 (0.002) Loss 1.2474 (1.3407) Prec@1 71.875 (68.789) Prec@5 86.719 (87.126) Epoch: [89][9650/10010] Time 0.338 (0.329) Data 0.001 (0.002) Loss 1.7689 (1.3407) Prec@1 60.156 (68.790) Prec@5 84.375 (87.126) Epoch: [89][9660/10010] Time 0.333 (0.329) Data 0.000 (0.002) Loss 1.4053 (1.3407) Prec@1 68.750 (68.789) Prec@5 87.500 (87.126) Epoch: [89][9670/10010] Time 0.337 (0.329) Data 0.001 (0.002) Loss 1.2317 (1.3408) Prec@1 69.531 (68.787) Prec@5 89.062 (87.125) Epoch: [89][9680/10010] Time 0.340 (0.329) Data 0.000 (0.002) Loss 1.4169 (1.3408) Prec@1 67.969 (68.787) Prec@5 85.156 (87.126) Epoch: [89][9690/10010] Time 0.340 (0.329) Data 0.001 (0.002) Loss 1.1513 (1.3409) Prec@1 68.750 (68.783) Prec@5 92.188 (87.124) Epoch: [89][9700/10010] Time 0.318 (0.329) Data 0.001 (0.002) Loss 1.4358 (1.3409) Prec@1 67.969 (68.785) Prec@5 87.500 (87.124) Epoch: [89][9710/10010] Time 0.329 (0.329) Data 0.001 (0.002) Loss 1.4001 (1.3409) Prec@1 65.625 (68.786) Prec@5 85.156 (87.124) Epoch: [89][9720/10010] Time 0.318 (0.329) Data 0.001 (0.002) Loss 1.6544 (1.3409) Prec@1 62.500 (68.786) Prec@5 83.594 (87.123) Epoch: [89][9730/10010] Time 0.335 (0.329) Data 0.001 (0.002) Loss 1.2816 (1.3410) Prec@1 70.312 (68.785) Prec@5 87.500 (87.122) Epoch: [89][9740/10010] Time 0.321 (0.329) Data 0.000 (0.002) Loss 1.4034 (1.3409) Prec@1 62.500 (68.784) Prec@5 85.938 (87.122) Epoch: [89][9750/10010] Time 0.328 (0.329) Data 0.001 (0.002) Loss 1.3128 (1.3409) Prec@1 68.750 (68.784) Prec@5 84.375 (87.122) Epoch: [89][9760/10010] Time 0.326 (0.329) Data 0.001 (0.002) Loss 1.1753 (1.3410) Prec@1 75.000 (68.782) Prec@5 88.281 (87.121) Epoch: [89][9770/10010] Time 0.338 (0.329) Data 0.001 (0.002) Loss 1.4817 (1.3410) Prec@1 64.844 (68.782) Prec@5 86.719 (87.121) Epoch: [89][9780/10010] Time 0.338 (0.329) Data 0.001 (0.002) Loss 1.1416 (1.3410) Prec@1 69.531 (68.781) Prec@5 92.969 (87.122) Epoch: [89][9790/10010] Time 0.340 (0.329) Data 0.001 (0.002) Loss 1.7539 (1.3410) Prec@1 66.406 (68.780) Prec@5 82.812 (87.122) Epoch: [89][9800/10010] Time 0.327 (0.329) Data 0.001 (0.002) Loss 1.4398 (1.3410) Prec@1 66.406 (68.779) Prec@5 84.375 (87.122) Epoch: [89][9810/10010] Time 0.334 (0.329) Data 0.001 (0.002) Loss 1.0677 (1.3409) Prec@1 78.906 (68.780) Prec@5 89.062 (87.123) Epoch: [89][9820/10010] Time 0.320 (0.329) Data 0.001 (0.002) Loss 1.1532 (1.3410) Prec@1 69.531 (68.779) Prec@5 91.406 (87.122) Epoch: [89][9830/10010] Time 0.336 (0.329) Data 0.001 (0.002) Loss 1.3738 (1.3409) Prec@1 66.406 (68.781) Prec@5 87.500 (87.124) Epoch: [89][9840/10010] Time 0.320 (0.329) Data 0.001 (0.002) Loss 1.2903 (1.3409) Prec@1 70.312 (68.779) Prec@5 88.281 (87.123) Epoch: [89][9850/10010] Time 0.338 (0.329) Data 0.001 (0.002) Loss 1.3104 (1.3409) Prec@1 70.312 (68.779) Prec@5 87.500 (87.123) Epoch: [89][9860/10010] Time 0.327 (0.329) Data 0.000 (0.002) Loss 1.2081 (1.3409) Prec@1 68.750 (68.780) Prec@5 86.719 (87.124) Epoch: [89][9870/10010] Time 0.317 (0.329) Data 0.001 (0.002) Loss 1.2369 (1.3409) Prec@1 70.312 (68.778) Prec@5 86.719 (87.123) Epoch: [89][9880/10010] Time 0.328 (0.329) Data 0.001 (0.002) Loss 1.4232 (1.3409) Prec@1 66.406 (68.779) Prec@5 86.719 (87.123) Epoch: [89][9890/10010] Time 0.319 (0.329) Data 0.001 (0.002) Loss 1.3184 (1.3410) Prec@1 70.312 (68.777) Prec@5 89.844 (87.122) Epoch: [89][9900/10010] Time 0.335 (0.329) Data 0.001 (0.002) Loss 1.1606 (1.3409) Prec@1 71.875 (68.778) Prec@5 89.844 (87.124) Epoch: [89][9910/10010] Time 0.327 (0.329) Data 0.001 (0.002) Loss 1.4948 (1.3409) Prec@1 65.625 (68.777) Prec@5 87.500 (87.125) Epoch: [89][9920/10010] Time 0.316 (0.329) Data 0.001 (0.002) Loss 1.2087 (1.3409) Prec@1 71.094 (68.778) Prec@5 85.938 (87.124) Epoch: [89][9930/10010] Time 0.319 (0.329) Data 0.001 (0.002) Loss 1.1355 (1.3409) Prec@1 73.438 (68.777) Prec@5 91.406 (87.125) Epoch: [89][9940/10010] Time 0.329 (0.329) Data 0.001 (0.002) Loss 1.2765 (1.3410) Prec@1 70.312 (68.775) Prec@5 89.844 (87.123) Epoch: [89][9950/10010] Time 0.316 (0.329) Data 0.001 (0.002) Loss 1.4443 (1.3410) Prec@1 65.625 (68.777) Prec@5 85.938 (87.124) Epoch: [89][9960/10010] Time 0.321 (0.329) Data 0.000 (0.002) Loss 1.3854 (1.3410) Prec@1 67.188 (68.778) Prec@5 85.156 (87.124) Epoch: [89][9970/10010] Time 0.323 (0.329) Data 0.001 (0.002) Loss 1.4505 (1.3411) Prec@1 64.844 (68.775) Prec@5 86.719 (87.122) Epoch: [89][9980/10010] Time 0.320 (0.329) Data 0.000 (0.002) Loss 1.4956 (1.3411) Prec@1 68.750 (68.777) Prec@5 85.156 (87.124) Epoch: [89][9990/10010] Time 0.315 (0.329) Data 0.001 (0.002) Loss 1.6287 (1.3411) Prec@1 57.031 (68.776) Prec@5 79.688 (87.122) Epoch: [89][10000/10010] Time 0.331 (0.329) Data 0.000 (0.002) Loss 1.2105 (1.3412) Prec@1 71.094 (68.773) Prec@5 89.844 (87.122) Test: [0/391] Time 1.784 (1.784) Loss 0.6856 (0.6856) Prec@1 85.156 (85.156) Prec@5 93.750 (93.750) Test: [10/391] Time 0.107 (0.266) Loss 1.1297 (0.6134) Prec@1 71.875 (84.375) Prec@5 90.625 (95.597) Test: [20/391] Time 0.100 (0.192) Loss 0.8751 (0.8591) Prec@1 78.125 (77.679) Prec@5 92.188 (93.415) Test: [30/391] Time 0.113 (0.165) Loss 1.5651 (0.9850) Prec@1 70.312 (74.168) Prec@5 86.719 (92.515) Test: [40/391] Time 0.106 (0.150) Loss 0.9617 (0.8938) Prec@1 79.688 (76.848) Prec@5 92.188 (93.216) Test: [50/391] Time 0.108 (0.141) Loss 0.4760 (0.9147) Prec@1 87.500 (76.746) Prec@5 96.094 (92.907) Test: [60/391] Time 0.103 (0.136) Loss 1.0982 (0.8702) Prec@1 74.219 (77.946) Prec@5 89.844 (93.276) Test: [70/391] Time 0.103 (0.132) Loss 1.1241 (0.8999) Prec@1 67.188 (76.838) Prec@5 94.531 (93.299) Test: [80/391] Time 0.103 (0.128) Loss 0.9620 (0.9102) Prec@1 75.000 (76.283) Prec@5 89.844 (93.364) Test: [90/391] Time 0.107 (0.126) Loss 1.0315 (0.9135) Prec@1 60.156 (76.193) Prec@5 95.312 (93.458) Test: [100/391] Time 0.152 (0.124) Loss 0.6538 (0.9040) Prec@1 86.719 (76.114) Prec@5 96.875 (93.680) Test: [110/391] Time 0.102 (0.123) Loss 1.2847 (0.9073) Prec@1 51.562 (75.823) Prec@5 92.969 (93.799) Test: [120/391] Time 0.105 (0.121) Loss 0.7080 (0.9042) Prec@1 82.812 (76.027) Prec@5 96.094 (93.866) Test: [130/391] Time 0.105 (0.120) Loss 0.4200 (0.8982) Prec@1 90.625 (76.258) Prec@5 97.656 (93.923) Test: [140/391] Time 0.103 (0.119) Loss 1.1761 (0.8975) Prec@1 63.281 (76.197) Prec@5 92.969 (93.938) Test: [150/391] Time 0.104 (0.118) Loss 0.8924 (0.9052) Prec@1 72.656 (76.174) Prec@5 92.969 (93.745) Test: [160/391] Time 0.108 (0.118) Loss 1.0217 (0.9104) Prec@1 70.312 (76.097) Prec@5 92.969 (93.682) Test: [170/391] Time 0.108 (0.117) Loss 1.6840 (0.9405) Prec@1 59.375 (75.457) Prec@5 89.062 (93.330) Test: [180/391] Time 0.105 (0.116) Loss 1.8885 (0.9695) Prec@1 53.906 (74.849) Prec@5 86.719 (93.003) Test: [190/391] Time 0.109 (0.116) Loss 2.0150 (1.0045) Prec@1 53.125 (74.116) Prec@5 84.375 (92.535) Test: [200/391] Time 0.108 (0.115) Loss 1.1649 (1.0359) Prec@1 60.938 (73.476) Prec@5 93.750 (92.156) Test: [210/391] Time 0.106 (0.115) Loss 1.5316 (1.0540) Prec@1 65.625 (73.152) Prec@5 88.281 (91.943) Test: [220/391] Time 0.113 (0.114) Loss 0.6278 (1.0643) Prec@1 82.812 (72.957) Prec@5 96.094 (91.770) Test: [230/391] Time 0.103 (0.114) Loss 1.9550 (1.0785) Prec@1 53.906 (72.714) Prec@5 83.594 (91.589) Test: [240/391] Time 0.106 (0.114) Loss 1.3225 (1.0857) Prec@1 75.000 (72.663) Prec@5 85.938 (91.452) Test: [250/391] Time 0.106 (0.114) Loss 0.8295 (1.1115) Prec@1 78.906 (72.043) Prec@5 91.406 (91.163) Test: [260/391] Time 0.112 (0.113) Loss 1.5278 (1.1276) Prec@1 64.062 (71.710) Prec@5 86.719 (90.984) Test: [270/391] Time 0.100 (0.113) Loss 1.7920 (1.1393) Prec@1 57.812 (71.471) Prec@5 85.156 (90.827) Test: [280/391] Time 0.102 (0.113) Loss 1.3846 (1.1460) Prec@1 61.719 (71.341) Prec@5 89.844 (90.742) Test: [290/391] Time 0.101 (0.113) Loss 1.5402 (1.1569) Prec@1 56.250 (71.169) Prec@5 89.844 (90.553) Test: [300/391] Time 0.100 (0.112) Loss 1.1683 (1.1665) Prec@1 76.562 (71.006) Prec@5 87.500 (90.430) Test: [310/391] Time 0.106 (0.112) Loss 1.5110 (1.1756) Prec@1 67.969 (70.840) Prec@5 82.812 (90.306) Test: [320/391] Time 0.111 (0.112) Loss 0.7164 (1.1831) Prec@1 86.719 (70.731) Prec@5 93.750 (90.219) Test: [330/391] Time 0.103 (0.112) Loss 1.9210 (1.1992) Prec@1 53.125 (70.383) Prec@5 81.250 (90.014) Test: [340/391] Time 0.101 (0.112) Loss 1.2000 (1.2050) Prec@1 61.719 (70.223) Prec@5 92.969 (89.940) Test: [350/391] Time 0.110 (0.111) Loss 1.1886 (1.2096) Prec@1 73.438 (70.172) Prec@5 90.625 (89.848) Test: [360/391] Time 0.104 (0.111) Loss 1.4637 (1.2189) Prec@1 60.938 (69.994) Prec@5 87.500 (89.762) Test: [370/391] Time 0.106 (0.111) Loss 1.0961 (1.2148) Prec@1 66.406 (70.064) Prec@5 95.312 (89.816) Test: [380/391] Time 0.107 (0.111) Loss 0.9087 (1.2171) Prec@1 78.906 (70.025) Prec@5 94.531 (89.776) Test: [390/391] Time 0.070 (0.111) Loss 2.0666 (1.2114) Prec@1 41.250 (70.166) Prec@5 82.500 (89.848) * Prec@1 70.166 Prec@5 89.848